From d825a686bf9337c965fecc28419f0148a4293c2f Mon Sep 17 00:00:00 2001
From: Ali Khan <akhanf@users.noreply.github.com>
Date: Mon, 19 Feb 2024 19:38:59 -0500
Subject: [PATCH] Delete example_notebooks/example_zarr_process.ipynb

replace with more up to date soon
---
 example_notebooks/example_zarr_process.ipynb | 1577 ------------------
 1 file changed, 1577 deletions(-)
 delete mode 100644 example_notebooks/example_zarr_process.ipynb

diff --git a/example_notebooks/example_zarr_process.ipynb b/example_notebooks/example_zarr_process.ipynb
deleted file mode 100644
index de9c666..0000000
--- a/example_notebooks/example_zarr_process.ipynb
+++ /dev/null
@@ -1,1577 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "40af203f-5847-4176-a5b9-85dad2f4ffd2",
-   "metadata": {},
-   "source": [
-    "# Example for analyzing ome-zarr data from SPIMprep outputs"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "e76d2d1c-1c4c-4839-84ab-41eff33760c7",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import zarr\n",
-    "import dask.array as da\n",
-    "import numpy as np\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 197,
-   "id": "d60b7444-57a2-41a2-99ee-9315a856969b",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#spimprep_dir='/home/ROBARTS/alik/graham/cfmm-bids/Prado/LightsheetMicroscopy/bids_spimprep_20240213'\n",
-    "spimprep_dir='/home/ROBARTS/alik/graham/scratch/3_processing/SPIMprep/results'\n",
-    "\n",
-    "zarr_file=f'{spimprep_dir}/sub-mouse1/micr/sub-mouse1_acq-4x_desc-stitchedflatcorr_sample-brain_stain-abeta_spim.ome.zarr.zip'\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "c60fc2dc-c390-4538-bdcb-3f032be457ea",
-   "metadata": {},
-   "source": [
-    "## Reading data"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "77fcea35-6e2e-4d23-a1db-fe877661afb3",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#read in the zar (zipped) using zarr.open() to see what is there\n",
-    "z = zarr.open(zarr_file)\n",
-    "z.tree()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 167,
-   "id": "c0b7a870-60c4-4f9c-b55f-9890148a90b7",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<zarr.core.Array '/1' (67, 3584, 3024) >u2>"
-      ]
-     },
-     "execution_count": 167,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "#the folders are called \"groups\" in zarr, and the arrays are \"datasets\"\n",
-    " # can build a path with slashes \n",
-    "\n",
-    "dataset = z['/1']\n",
-    "dataset\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 168,
-   "id": "7bf3af70-ecc1-48bf-8bdb-00ffb71e3a98",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'multiscales': [{'axes': [{'name': 'z',\n",
-       "     'type': 'space',\n",
-       "     'unit': 'micrometer'},\n",
-       "    {'name': 'y', 'type': 'space', 'unit': 'micrometer'},\n",
-       "    {'name': 'x', 'type': 'space', 'unit': 'micrometer'}],\n",
-       "   'datasets': [{'coordinateTransformations': [{'scale': [0.1,\n",
-       "        0.0027083330000000003,\n",
-       "        0.0027083330000000003],\n",
-       "       'type': 'scale'}],\n",
-       "     'path': '0'},\n",
-       "    {'coordinateTransformations': [{'scale': [0.1,\n",
-       "        0.0054166660000000005,\n",
-       "        0.0054166660000000005],\n",
-       "       'type': 'scale'}],\n",
-       "     'path': '1'},\n",
-       "    {'coordinateTransformations': [{'scale': [0.1,\n",
-       "        0.010833332000000001,\n",
-       "        0.010833332000000001],\n",
-       "       'type': 'scale'}],\n",
-       "     'path': '2'},\n",
-       "    {'coordinateTransformations': [{'scale': [0.1,\n",
-       "        0.021666664000000002,\n",
-       "        0.021666664000000002],\n",
-       "       'type': 'scale'}],\n",
-       "     'path': '3'},\n",
-       "    {'coordinateTransformations': [{'scale': [0.1,\n",
-       "        0.043333328000000004,\n",
-       "        0.043333328000000004],\n",
-       "       'type': 'scale'}],\n",
-       "     'path': '4'}],\n",
-       "   'name': '/',\n",
-       "   'version': '0.4'}]}"
-      ]
-     },
-     "execution_count": 168,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# there is also metadata (OME-Zarr) for the multiscale image\n",
-    "z['/'].attrs.asdict()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "b76efb38-6b89-49f7-af89-f6fc7b07fcd3",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#TODO: remove toplevel fused folder (for OME napari compatibility)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 170,
-   "id": "53462d8d-e921-4958-9d26-476a063c6846",
-   "metadata": {},
-   "outputs": [
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-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 5.41 GiB </td>\n",
-       "                        <td> 2.00 MiB </td>\n",
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-       "                    </tr>\n",
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-       "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> >u2 numpy.ndarray </td>\n",
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-       "    </tr>\n",
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-      ],
-      "text/plain": [
-       "dask.array<from-zarr, shape=(67, 7169, 6049), dtype=>u2, chunksize=(1, 1024, 1024), chunktype=numpy.ndarray>"
-      ]
-     },
-     "execution_count": 170,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "#read in the full-resolution image as a dask array\n",
-    "darr = da.from_zarr(zarr_file,component='/0')\n",
-    "darr"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "id": "5bf6f511-e414-4426-869d-ab33a2a1bade",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-       "            <table style=\"border-collapse: collapse;\">\n",
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-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 82.71 MiB </td>\n",
-       "                        <td> 2.00 MiB </td>\n",
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-       "                        <td> (1024, 1024) </td>\n",
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-       "                        <td colspan=\"2\"> 48 chunks in 3 graph layers </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> >u2 numpy.ndarray </td>\n",
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-       "dask.array<getitem, shape=(7169, 6049), dtype=>u2, chunksize=(1024, 1024), chunktype=numpy.ndarray>"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "#reading is instantaneous since we don't actually read the data\n",
-    "\n",
-    "#dask gives you a virtual array, and you can use dask.array functions or slicing to manipulate the data virtually\n",
-    "\n",
-    "darr_slice = darr[30,:,:]\n",
-    "darr_slice"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 171,
-   "id": "cdc1c512-ab57-4b78-8918-19664aab35fb",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array([[  0,   0,   0, ...,   0,   0,   0],\n",
-       "       [  0, 240, 220, ..., 238, 202,   0],\n",
-       "       [  0, 248, 235, ..., 239, 210,   0],\n",
-       "       ...,\n",
-       "       [  0, 302, 296, ..., 274, 289,   0],\n",
-       "       [  0, 277, 284, ..., 265, 288,   0],\n",
-       "       [  0,   0,   0, ...,   0,   0,   0]], dtype='>u2')"
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-     },
-     "execution_count": 171,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "#if we want to get the actual data, we use da.compute()\n",
-    "arr_slice = darr_slice.compute()\n",
-    "arr_slice"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 172,
-   "id": "b4682078-cefc-4e78-829a-ce62c274fb57",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.colorbar.Colorbar at 0x7fe2cc69f0a0>"
-      ]
-     },
-     "execution_count": 172,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "#now we can plot it for example:\n",
-    "import matplotlib.pyplot as plt\n",
-    "\n",
-    "plt.imshow(arr_slice)\n",
-    "plt.colorbar()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 173,
-   "id": "acadbaca-7a19-4f84-b946-0a481327f9be",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(array([1.005867e+07, 8.218850e+05, 2.917210e+05, 1.060400e+05,\n",
-       "        4.044500e+04, 1.760500e+04, 7.720000e+03, 1.755000e+03,\n",
-       "        1.810000e+02, 2.600000e+01]),\n",
-       " array([    0. ,  4062.5,  8125. , 12187.5, 16250. , 20312.5, 24375. ,\n",
-       "        28437.5, 32500. , 36562.5, 40625. ]),\n",
-       " <BarContainer object of 10 artists>)"
-      ]
-     },
-     "execution_count": 173,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "#can also grab the data from the zarr object, and use numpy to convert to numpy array\n",
-    "ds4=np.array(z['/4'])\n",
-    "plt.hist(ds4.flat)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "f862f88f-8c81-4a33-9138-d6c418595ef9",
-   "metadata": {},
-   "source": [
-    "## Computing over each block, first try on synthetic data"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 174,
-   "id": "fb47162a-f8ba-43af-85f4-f8f19626e735",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#we can use dask to also perform computations in parallel on each block\n",
-    "# this is done easily by defining a function and using da.map_blocks()\n",
-    "\n",
-    "threshold=5000\n",
-    "def threshold_vol(x):\n",
-    "    mask=x>threshold\n",
-    "    nvoxels=sum(mask.flat)\n",
-    "    return np.array(nvoxels).reshape((1,1,1))\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 180,
-   "id": "f1d6e4f6-aa3f-476e-8a01-d1b6a220f9a5",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array([[[499397]]])"
-      ]
-     },
-     "execution_count": 180,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "arr = 10000*np.random.random((100,100,100))\n",
-    "threshold_vol(arr)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 181,
-   "id": "9ee12239-51da-47fc-b96b-61b8a7085cae",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#arr_nvox = darr_nvox.compute()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 182,
-   "id": "9e8c5c93-7dd4-4d5c-ad03-7cfab5bbebb8",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "        <td>\n",
-       "            <table style=\"border-collapse: collapse;\">\n",
-       "                <thead>\n",
-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 7.63 MiB </td>\n",
-       "                        <td> 7.81 kiB </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (100, 100, 100) </td>\n",
-       "                        <td> (10, 10, 10) </td>\n",
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-       "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1000 chunks in 1 graph layer </td>\n",
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-       "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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-       "dask.array<array, shape=(100, 100, 100), dtype=float64, chunksize=(10, 10, 10), chunktype=numpy.ndarray>"
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-     "execution_count": 182,
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-    "darr = da.from_array(arr,(10,10,10))\n",
-    "darr"
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-   "execution_count": 183,
-   "id": "9b8a49ff-fccb-43d2-86c4-561decbc6818",
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-       "dask.array<threshold_vol, shape=(10, 10, 10), dtype=int64, chunksize=(1, 1, 1), chunktype=numpy.ndarray>"
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-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plt.imshow(darr_nvox.compute()[0,:,:])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "1a91f21a-ee8d-4d17-acda-866fa0fa9d42",
-   "metadata": {},
-   "source": [
-    "## Now try on real data"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 185,
-   "id": "60b8195c-a42a-4008-a478-8d1fa8e565d7",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#now try on our actual data \n",
-    "darr = da.from_zarr(zarr_file,component='/0')\n",
-    "\n",
-    "#we grab a smaller set of data for illustrative purposes (4 slices)\n",
-    "# and also rechunk to 1x100x100 chunks\n",
-    "darr_nvox = darr[28:32,:,:].rechunk(chunks=(1,100,100)).map_blocks(threshold_vol,chunks=(1,1,1))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 186,
-   "id": "50937282-bbef-489a-b557-66af98112c35",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "        <td>\n",
-       "            <table style=\"border-collapse: collapse;\">\n",
-       "                <thead>\n",
-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 137.25 kiB </td>\n",
-       "                        <td> 8 B </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (4, 72, 61) </td>\n",
-       "                        <td> (1, 1, 1) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 17568 chunks in 5 graph layers </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> int64 numpy.ndarray </td>\n",
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-       "        </td>\n",
-       "    </tr>\n",
-       "</table>"
-      ],
-      "text/plain": [
-       "dask.array<threshold_vol, shape=(4, 72, 61), dtype=int64, chunksize=(1, 1, 1), chunktype=numpy.ndarray>"
-      ]
-     },
-     "execution_count": 186,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "darr_nvox"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 187,
-   "id": "1d33765c-130b-49bc-b161-c8daf813edba",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[########################################] | 100% Completed | 48.57 s\n"
-     ]
-    }
-   ],
-   "source": [
-    "#the result is small enough to be held in memory, so lets compute\n",
-    "# add a progress bar too\n",
-    "from dask.diagnostics import ProgressBar\n",
-    "\n",
-    "with ProgressBar():\n",
-    "    arr_nvox=darr_nvox.compute()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 188,
-   "id": "48abe4f2-ec57-464f-b1c5-2a8d5caeb1f9",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.image.AxesImage at 0x7fe3d508eaf0>"
-      ]
-     },
-     "execution_count": 188,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plt.imshow(arr_nvox[2,:,:])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "fefb864d-6535-4959-b460-52f0a0eab8bc",
-   "metadata": {},
-   "source": [
-    "## Let's try something more sophisticated\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 189,
-   "id": "8620cc18-5981-4af6-be94-48cc98eee91e",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "There are 4 registered models for 'StarDist2D':\n",
-      "\n",
-      "Name                  Alias(es)\n",
-      "────                  ─────────\n",
-      "'2D_versatile_fluo'   'Versatile (fluorescent nuclei)'\n",
-      "'2D_versatile_he'     'Versatile (H&E nuclei)'\n",
-      "'2D_paper_dsb2018'    'DSB 2018 (from StarDist 2D paper)'\n",
-      "'2D_demo'             None\n",
-      "Found model '2D_versatile_fluo' for 'StarDist2D'.\n",
-      "Loading network weights from 'weights_best.h5'.\n",
-      "Loading thresholds from 'thresholds.json'.\n",
-      "Using default values: prob_thresh=0.479071, nms_thresh=0.3.\n"
-     ]
-    }
-   ],
-   "source": [
-    "from stardist.models import StarDist2D\n",
-    "\n",
-    "# prints a list of available models\n",
-    "StarDist2D.from_pretrained()\n",
-    "\n",
-    "# creates a pretrained model\n",
-    "model = StarDist2D.from_pretrained('2D_versatile_fluo')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 190,
-   "id": "0df4acb9-204b-4b16-9c77-cdc079bb6fd4",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Text(0.5, 1.0, 'prediction + input overlay')"
-      ]
-     },
-     "execution_count": 190,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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1lBsZGQGAFRHGsmvr16/H3XffjSuvvLJlAvLx0sahQ4catJ7Dhw/Dtu2m0eHd3d2Ix+Oo1Wq48cYbPcuOjIxg7969cByngW4OHDjQdHzr16/Hf/zHf6wI1hLRKj0SPRw4cKAhcr1areLYsWNN59IOdu3a1fBd0+rs/sorrzyrWRZbwcTEBAqFQoN14ODBgwDAxkJWBZH/idYSoD3+NzIyAtu2cejQoYYg6+npaSwuLrLfBACi0ShuueUW3HnnnfiLv/gLfPe738XVV1/dIDCtX78ejuNg7dq1zLpxNvC9730P69atww9+8IOG+clcVB0dHbj55pvxne98B29/+9vx4IMPnnESJj9m4HnE1772tQbTz9/8zd/AsqyGqOD169fj/vvvX1FPlI6JqETCeb5AEjGvATiOgy9+8YsN5QYGBrBjxw5885vfbPBN/vznP2dbGAm33347arUa/uiP/mhFf5ZlvWBz9fHc4f/+3//b8P2v/uqvAKBppHwgEMBtt92G73//+9i7d++K+7Ozs+zz6173OkxMTOB73/seu1YsFl3dCzxuu+02OI6Dz372syvu8e9+NBpt6f288cYboes6vvSlLzXU/7u/+ztks1ncfPPNTdt4KcKyLHz1q19l36vVKr761a+iu7ubCS20A4Pnf7VaTfo7RaNR5opsBlK2xMXyL/7iLwBgxTN/61vfiomJCfzt3/4tdu/ejbe+9a0N99/0pjchEAjgs5/97AoLiOM4yGQyLY1LhIynPvLII3jooYek5d/5zndi3759+N3f/V0EAgG87W1vW1W/BN8y8DyiWq3ihhtuwO23344DBw7gr//6r3HVVVfh1ltvZWU+8IEP4Nd//ddx22234VWvehV2796N//iP/0BXV1dDWxdccAECgQD+9E//FNlsFoZh4JWvfKWrv/1sY8uWLVi/fj0++clPYnx8HIlEAt///velsRJ//Md/jDe84Q248sor8d73vhcLCwv48pe/jB07djQICNdeey0+/OEP4/Of/zyeeuopvPrVr0YwGMShQ4dw55134otf/GJDEJiPlz6OHTuGW2+9Fa997Wvx0EMP4dvf/jZ+7dd+Deeff37Tun/yJ3+Ce++9F5dddhk++MEPYtu2bZifn8cvf/lL3H333ZifnwdQD8778pe/jHe961144okn0N/fj29961uIRCJN+7j++uvxzne+E1/60pdw6NAhvPa1r4Vt23jggQdw/fXX42Mf+xiAuhZ+99134y/+4i8wMDCAtWvXsqBbHt3d3fjUpz6Fz372s3jta1+LW2+9lfGCSy65ZPXbwl7kGBgYwJ/+6Z9ibGwMmzZtwne/+1089dRT+NrXvsZ87Nu3b8fll1+OT33qU8wS88///M+wLGtFe7t27cJ3v/td/PZv/zYuueQSxGIxvP71r5f2ff755+Pd7343vva1r2FxcRHXXnstHn30UXzjG9/AG9/4xgZrLVAXHuLxOD75yU8yoZPH+vXr8b//9//Gpz71KYyNjeGNb3wj4vE4jh07hh/+8If40Ic+hE9+8pNtP6NbbrkFP/jBD/Arv/IruPnmm3Hs2DF85StfwbZt26RBnjfffDM6Oztx55134qabbjpz3r+qPQjnINy2Ft58880ryopbRqjuz3/+c+dDH/qQk06nnVgs5rz97W93MplMQ91areb8/u//vtPV1eVEIhHnNa95jXP48OEVWwsdx3H+3//7f866deucQCDQdJuh29bCj370ow3Xjh075gBw/uzP/qzhOm3vufPOO9m1ffv2OTfeeKMTi8Wcrq4u54Mf/KCze/duB4DzD//wDw31//mf/9nZsmWLYxiGs2PHDudHP/qRc9tttzlbtmxZMdavfe1rzq5du5xwOOzE43Fn586dzu/93u85ExMTrvPz8dICvY/79u1z3vzmNzvxeNxJp9POxz72MadUKjWUlb2nhOnpaeejH/2oMzw87ASDQaevr8+54YYbnK997WsN5Y4fP+7ceuutTiQScbq6upzf/M3fZFtWvbYWOk59y9ef/dmfOVu2bHF0XXe6u7udm266yXniiSdYmf379zvXXHONEw6HHQCMVt22y335y192tmzZ4gSDQae3t9f5yEc+4iwsLDSUufbaa53t27evmLNsjK3gudhayPMDx1nmHzz90zwef/xx5xWveIUTCoWckZER58tf/vKKfo4cOeLceOONjmEYTm9vr/PpT3/aueuuu1b8Tvl83vm1X/s1J5VKrdiiLINpms5nP/tZZ+3atU4wGHSGh4edT33qU065XJaWf/vb3+4AcG688UbXNr///e87V111lRONRp1oNOps2bLF+ehHP+ocOHBgxdxlEJ+pbdvOH//xHzsjIyOOYRjOhRde6Pz4xz/2/L1pK+4//uM/es6/FfhnEzwPoCQ6jz322IosVucyLrjgAnR3d6+IM/Dx8gcl3pmdnV1h9fLx8sJ1112Hubk5qTvHx5nhE5/4BP7u7/4OU1NTLVm6vODHDPh4zmGa5gpT33333Yfdu3e/qI7w9OHDh4+XCsrlMr797W/jtttuO2NBAPBjBnw8DxgfH8eNN96Id7zjHRgYGMD+/fvxla98BX19ffj1X//1F3p4Pnz48PGSwczMDO6++25873vfQyaTwW/+5m+elXZ9YcDHc450Oo1du3bhb//2bzE7O4toNIqbb74Zf/Inf4LOzs4Xeng+fPjw8ZLBvn378Pa3vx09PT340pe+hAsuuOCstOvHDPjw4cOHDx/nOPyYAR8+fPjw4eMchy8M+PDhw4cPH+c4fGHAhw8fPnz4OMfRcgChYRhQVRWO47A/WX5ouq4oClRVlWaPcgPV49vh26XwBipHh5VQObE8XaPPqqo2HKBD9/iyfF2qI15zK8sjEAiwAy3Ea25tic/BMAzUajWWipiu889YURQEAgHWBn02DAPd3d2oVqtIp9NIpVKYmppCPp9HoVBgecqBemrPWq2G7u5uJBIJLC0tIRAIwDAMWJaFcDgMwzBgGAYKhQJ0Xcfu3bvx7LPPnvUDmXx446X4vCORCAKBABzHaUirLb73NLdAIABVVWGaZkvzJV7DtyPyAqJFKifSFE9b9Ef8jsZUq9VY28RLZHyGoKoq41P8mGgMbod5aZrWwDsURYGmaax/cX7iZ0VREBvsgZUvoporNoyF5kVz0DSNjScYDEJRFMSjUWzr7cU8HFy463ysHV2He+57BFNTJ7C0tIRgMMjGkEwmYVkW+td2oburG/lMBcFgENFYFKZZRSKWRDgWgd0ZhTWxgEgkgp/8+Me47777XpLv8ksZzZ53W5YB2csv64AnJrcDJXii49tolfi9rvHjlI1B1q9sPiJz4K+7ET8/Br4vupZIJFYccSmbi67rqFarjAGI9/nfwbZt2LYNVVURCAQQCAQQj8fR3d2N0dFRVCoVVCoVxONxdjaCZVkN7WqahlQqhUQigVAoxJ6bruu4/PLLcckll6BcLsOyLAQCAaRSqQbhzYcPL1iWhVqt5irg89ds24amaU3fr1b5huwev9Dy/fALN79QimPm6dutDyonKhciXyGBnkA0T3Udx4FTs7E+vR6GbnjOXVVVdHR2oDg5h2quKOVbvBJl2zZqtRo0TUM8Hodh6Ni6rgtXn9+LKy9di/HxCRw/uYS+/o2oVCqwbZv9d+DA0QMIhUK4YNvF2Di6FfF4vD4XBwgZYbzpttvw+ltuRXUhj1K1gnxER39/v883XoQ4o62F/EstW3Cr1arrjy7ThkXIXngvywGvNdM1ngHxhO62+PN98W2J4xOZgSgciOOla+Vy2VM7AuoE3dnZienpaaYh8JYGVVVXtEGCQCQSQbVaRT6fZ4e1lMtl2LaNpaUl2LYNwzCYUBAIBNDR0YFKpYLe3l4kEgnk83lYloXR0VHMz8/jqaeeQq1WQz6fh6Zp6O7uRi6Xa2AsPnx4oZnywMO2bZRKJVceIVoI3dDMmiez+vHjJKsm8RHRKsC3KbMy8ryGH5PMOijyDnFeNdvGXHGuqaU1FArhuuuvxr/967/DsiwoioJgMMj4YEDTUDvdBm/BDQaDuGjX+Tiw/xBOTC/iQE8UC4UFzM1UoVZ24/jMNCzLQiQSQaVSPS0sBTGwdR2smSVcevErYBgGZqZmUSqWsGP4PMwUpvHEfQ8iVy4gNzOLgK4j1tWB0bVrV1hpfbzwaFkYcDOLyzRkWV2vMrIFl68jIxxx8feyQMj64j+TCVA2Tjd3iKxNt2fD169UKtI58s/Atm3Mz883MA0ibFVVGSERM6N2TNNENpuFqqowDAP5fB6lUgnxeByKoqBcLrP5dnd3w3EchEIh2LaN7u5uHD9+HJZloVQqIZlMYtOmTRgfH0c2m8X8/DxGR0cxOTmJ2dlZ9PX1rRBKfPiQQVwwCV4aO39frOdGN/x/nnfwdfkFyEsoEMuK4yMXgqZpjDapjVYUIJG/eQlJiqLAgYOF0sKKZ8n3q6oqKpUKfvHAQw2Wv2q1Wl/wO0MIaAGUpupCveM4zCJRKpVw7z33Q1VVdMVimDtcwJ5MBucNDqEnEMC+3BLMWg1BXcea885DYcmBEYrDXliCfUkH/uX+n0CZr2J6Zhp9vX24cMdFOJk/jlqxCPP4SVyw9SIcPL4fyvgcNm3chEAg0JYL2cdzj5aFgWYLvtv9dvxCMl+YTHPnP7st4LJ2ZYSqKEqDL068JwokbhqO1zhkVgLZOPn7tHCL12u1GmKxGNNcyK9KggIReK1WQ7FYhKqqyOfzzCKRTqdRLpeRyWTQ1dWFSqWCQqGAUqmESqWCaDSKaDQKXdeRSqXQ19eHmZkZPP7447AsC5qmYdu2bZiZmYGmaQ1HMvvwIYMbD2hFkWjWlhtti4uzm4VPpGUvPiYTPGjRlVkZW2lbtDSIZUXLq8hTeNqn7zPTM1IlqZIpYv2GzbCCFZQLeSwVC8zaSHEKuq4jX63imdlZQFVxaHYOc6UqCuUytq3bgMnMHCb370d6aBuKpTJKM+OILS1hX66AdDKNjo4ORKIRrNk1iLXaKBYXszg5+6+wTAt6UMeFF12JzOwp6LreoBj5eOFxVjIQyqR5WZlWCE22cHoRslf/PKGJTEM06XnBS0ORjbVdS4nX+MW5OI6DYDDI/JmZTIZJ2MRQSBjgg/8sy2IMQ1VVVKtVzM3NMROhZVkwDAPRaBRr1qxBpVLB1NQUSqUSjhw5gqWlJRQKBaTTaSwsLMCyLASDQZRKJc+5+vDRLrxoTKRhr7p8GzLe4SWck2uO117pPu/LF62T7VgWeZrm5+YFGe/geSfvvuCfGVkCEokUomkNfUoQ//nMEyiVyyzQm3iBbTsoVquIx+OIxmOwbBtBTUMilkCiqwtP7n4S8yf2QFVVhEIhWMUqouEoNvStQbR3CFAqGBs7DigKHnzwF5iYHsfCwgIGBgYwn5mCZVYQCoWQy+U85+rj+cWqthbKXm43U1e77fFE5bYwimVlkj/vD5MJFs3Gw5vk3cYqM/ORuY6i+kVG5MaYvL7z5W3bxtzcHGZmZjA7O7vCTE/CTyKRYOOg4C3bttm52CRMUABRpVJBtVoFABQKBWzatAl9fX0IhUIIhUKng4vquwnGxsYQDAZhGEbTZ+nDhxv9iQuZ7LpXe61o+25tiXxCvMYH44p9eLVP32lHRDN+w7sCyapHUf2ytt0CGvnvPGgMZAF96olH8fATj+Cnux9FWXBZEt/ddcn1MIxwXdgvl7CQz8K0LByeOAlND0LXdeYirNVqKBQKKJfLKFoVaMjhsssuRa4WQqWmQg+E0dPTh1gshsXFRRzYtxuxaATRaNTzufh4/tG2ZcBLyvUSBprdkzEFr3JebfNlaNGrVqsrCNirvXasBzITnpswQ1I6Lc6kGYRCITiOs8J0pigK4vE4NE1DsVhsMCfyAYWi8FMsFll7pmmyfkQ/HT0fqlutVpFMJhnBl0olaJqGaDTKnotpmohGowiHw67PxIcPHl58A/D2m7dquRPLtqqcuJUzDIPRHV+GhGivcbWqHIm8g7c6iGVUVYWu6zBNE7VajQkqAz1xBFTgxOTSirY3rdsAPWRgfHIS8/MZ1nbVMlcoLbTdeN/eR1CtVgDYKJfLbFtoJjOHxx9/DECdbxCP0DQNqqJioZDFFWt2IBwOoeqoODUxhXAwhlC0EzWrAtU2Ua4pSCQSSCQSTZ+Nj+cXbQkDbhJ+O2au1fTnJfl6Sf0AGoQAtzZkTMRLEBA1CRnhynyY/POhzyQQUPCPuMeaov2j0SgmJydRqVRWmCgJvImQzH6kpdB2Ld6USIxH0zQkEgmsXbsWlmVhy5YtiMfj+MUvfoFCoYDh4WGkUins3bsX69atw6FDh6CqKmKx2Fn/zX28vOFmFePN5TJ6bLbIN+NNbm16WSRICBD99uJuAJkywOcxkPXN+/jpPj0DMccA3w49K9LKNU1DtaYiny0gGAwiFgxgoViPNwqFQrjmslegu7cPd/3i51hYmGfjF/vi265WF+uChxGFbduwLAu6rjcIKiSQ6LqOvs5h7NpwParhWWw97zIkEgn87O77UFjM4ryRUSQ6TSzOApdeegkefOxpaJrmH1D2IkTblgFxgZQtmKtZHGSLJ99Wu0IAQUa4PAHSn1fksMg0ZAxEZC5u1wGs0M5t20ahUAAA5oczTROKUt/nv7CwgNnZ2Qb/vMg0+PGSRlMul9lWQ3IB8BoImQ4p7wFtSRwbG0M8HsfCwgI0TcMTTzzBFv5kMolYLIZarYZUKrXimfnw4QY3odyNd8gshs2sBLL2mwkP4nf6zOf4EIV8EuB54VocsyhciII7afaiJZJ3BfDXHcdpoGOi35nZBTiOA13T0NcRxmKpAkVRsG7tCPYcfhan7r0bkzPTDfVIWeCtggDQORBBOKZhZqyMi656BY4fOoKJ4ycbxs22KZ5WXBzYKJt5ZIoz2L9nLwaCQSxMTUFFEP96/93o7EhC1UIYGN2MziOnYJomBgYGfEXiRYa2hAG3H04mYZ/pj+xmbXDTLNyYRDPtni8jg0iksrIkqTezQLTSHy8YBINBVKvVhp0FAJjZjsbEuwhEEyO5JCKRCJLJJNt6SHMLBoOIxWIIBoM4efIk0uk0nnnmGXR3dyMWiyEcDuPkyZMsYPDxxx9HIBBAJpNBR0eHT9A+mkK0ZLlZ1mQuAzcNnq8n9uUmxMvKUjlxbDJTvdc4ZeNpxjvIKidmWpT1y1slZFAUBWathv0zOThO3e148NARZqWg+sQ7aDEHwEz9tm3DqtrQgvWxFpZKsKo1dPV0YGhdD04enoaqaGx8kXAYHcNpBHUdz04+hKuvuAq/ePgRrBscQEe6G8FyGHuX9qBSNREKhXDHHXfUrZMAhoaG/K3JLzKsejeBqMmLaEaIMo1cZh3wYgKi5C22IRujTFuQme8JYnIRWVu8SZCuN2NCMgYkgvyCotnQTaMibcOyLJYpMBisB/yUy2V0dHQAAFKpFAsqTKfTME0TlUoFqqpiYWEB6XS6zgwKBRw+fJhZD8rlMkzTxODgIKanp5FKpdj4fPhoFTLBgCC60/jr/HvPpzpvxWrQzJIo8gUv5UZm2gewYsEXI/uJ3/H90hzEVO9UTyzP8w7Z3Jnlz7GhhwyUi2V2T7Q48HMjYT+/YCK/YCIYDCKS7MBwKImp47sxtLYHYQRw3o7NODVdwuzULHZ2hzGvAEuqAlRMPPDfD2LTpq3Q0kksFRexd8+DMM26IFAsFjG/kMeOnedhbuYU+vv7WTIkHy8OnJWDimRmc/rsVcdtIRQX83ZcEG59eo1JXJzFvry0Bd7E1mq/bgKK+N0wDAwODrKdAVRXxih5H6SmaSwg0TRNmKaJfD6P48ePo1QqoVqtIhwOQ1EU5PN5zM3NYXZ2FqZpolqtolQqIRgM4sILL8QrXlHPLMabBZeWlmCaJtvi6MNHM3i9/24CAUG0FJDg67YouvEjcbFtNl6iK34xl1k1xDHIFBg+gyF/3S3hkTgO2RjE58KPp6O7A9e/7lW45vpfgWGEGgQXvj4FEQJ14WWN0ov1+hAUxUai42FowacwMzGPh+7ai4mJRczOFTA4OABFVTGTLeDUsSmM7T+BfK6IxewiTpwcQyW+hJ3bd+Da865HNBplfasBDZOTs8x92Swtu4/nF6vm5DLibpXQCLJF2MvU7uUuENuUjZXXRlo1O7pd5/twCygiIiCNXZaGVGyTH1u5XMbU1BQsy2JahlsqY7Ev3sVAfr5cLsc0fBp3IBBAOBxGqVRiWwgDgQB27drFDiTp7u7G4uIiKpUKFhcXUS6XMTg4CEVR/FwDPpqimRURaG4FFNvjy9C1ZiZ7/rPMwiZq5F7jAxrPGRDry/iMbDyie5EXEihfSFA3ULNMVx4pExJmJ2fx4F33IxiMsDgDikMiwZ7GR1so7ZqNXqTRh05MYAYz43lkphRUq1XMTM8iFw7jP+9+EKqqwLJq0AI6ktFuZIvziMVi6OrqQkBTceUlN6A2V8PQqI6h/Bpk5mZRKBSQXZhGrVbCtm3boJ2OjfJzDbx40PZuAlECFSVkkQiaLbR821SuFRdEK/doHM0EBH58blq7l/Qvtsf36zgOIpEIzj//fOzevZstnF6CB/8My+WyVKPgyxLj0nUdjuOgWCyiWq02uAsCgQDzTZJWzwsndN+yLHR0dCCTyeDQoUOIRqPYvn077rvvPoyOjrJtQXzaYx8+vNDs5E/xO09zsoVZVkZG6zIlxUuJoPvNFnK+XzcFqJnwI0sOJJ5yaNs2Up3duOJX3ocHv/+3WFqcZ/dFPiDOv1arYT4z1zAWUSmi7c1A/WTJqlPFw9VnEIKBklnGw3cDmhZkikWxWES5XGYpzB0NCAQ0pmBYloXOjk4Epi08/cunMJ5dRLpnBKdOnsCOC85DR2cnunr7MD8zC03TEIvF2PkpPl54tOwm8Hq5ReLhBQXZIibWFftpRkjtwstE2YxJiFoEX5Y3JdKCy2/no50BkUgEJ0+eZFq9m2Yj/nezJIgmQzLV8zEGFC0sHh1LfVIa4VqthlKpxFKR0l7mAwcO4OTJk5iYmMCBAwegaRoGBgawfft22LbN5kNmQB8+WoWbts8vZvyfmxvOS0P2WqjFus00bfG6eASxWNatrggK3KM/VVURC4XRFU+xk0dTiQSOP/0QrGplRZ/8+EWXQcOJhxJ+Q/Po7YtCN+pbmQOBAMyaiUKleHpsdcsgH9cALKdKt2om5nPj7AAjVVURiUTw8188gF889hCmp05hZuIYdF3HyLq1uOyqV0CtWTi4bx9M00Q6nZb+Nj5eGJzRbgLROkCQLZ5e0nYrZsSzWV5m2hM/i+Nu1i8txKLrQ1HqCYDm5+ddXSAyxsVrU25WDPIBkgBimuaKY1d5F4Vs/mSKBMDMiTMzMwiFQtA0DYODg7AsC5s3b8a+fftYmmIALD+BDx9ekGn3bjTpRl+ynTKyduiaG9z6kNGguIi6Ce8iX/NybfD9UT2iUcdxEAxoiITCWCzloSgKFhcyOHlizPXsAhlPFXcbAY3Bg/yYI5EgHEfB3GyRxQDR2CiPAb8bgVyRtm0jGAwypYLOQTl6/CiSqSQQUHDFZRdjfv4E1va8Ao/c8yhqpoMTR+s7HAzDQHd3d1MLjI/nDy1bBlqRsGVatIhWLQRnCzJhRZSY3cblJsC4fSezG2nmdBRrpVJxPQxJ1h7PmPjAQZEZUZuUZZDGQIs7b06UCRdUjkz9tL1ocXERhUIBqVQKhUIBPT09GBwchK7rOHbsGJLJJIB6JLSfa8BHM3hZAniIZn3ZYiyjg2a8o1XFQSwnphMW3XKyMu2C5xe1Wg2ZXBYnZidhWRZyuRwKhULDCYT8WOg//9z4s1h0IwxILCWk7du2jaNHFjA7U2DXeD4iWh75oM1arQbNAFK9IQBgx6JPnJzA7OQs+nv7MDk1hYH+OAY71iOIMB576gnE+3qgKAoqlQr6+/t9q+KLCGclFFx8IQkyaVsmXcvaabXPZmZ+t4WW/y5b8MWxu7kams1XtnXSTWDi05zSfTrdS6ZJ8f3LmBZpU2S1oHb5hCMUQEjtk0Czdu1aaJqG+fl5PPbYYywrYl9fX8OBSMlk0j+O1IcnZO+6zNomWhrd6E/Wtlc5Nz7TzOon4110zYuPyXiMrA/RzSDOV6ZAuCkn/FHK9fsKuvrXYubUYdRqplSp8BLSqDydVErtVqtVBIIaVC2AoBbAUDIOK7fcnmma2LHzciSKFYyPTeLgoTzgPItypYR1qU2oTmiwa/XD1vr6+vytyS8irEoYcHshvQhZJFq6LtZf7Xjc2nAz4bktyG6WBL59MsOJpne3cfFnCPAmN7GeTFCQnVUg0/aBxoQi/HVgOWqZNJlIJMIOHqIMhbxvcHx8nMUEOI6DfD7PAn5IkIhGo74w4KMpRKFdFORlvIO3BsgW4DPRKL3M/vx16pPoV/TXywRysa7IBylwl98V5JbMjAT5oK7DCIVQyOWkz4D6bTwK2cHk8WeXrSlQoKkaHKXeD6Ump/oi7+B5G1kRKA4qumEIwcEuVB89gMXpIsqlEpxKlbV79Oh+WFYZ6XQSZtFELpdDZ2cnTh47BnVARSCgIp1Oo6+vj5214OOFR8vCQDPiky3szcx3zdpv1oabmbGV9mULr6yM7LssUYabkOE4DtPKyf8mE07opDISFkTthQL7wuEwstksgOV4ABlz4i0LZBnQNI1ZGfL5PEqlEpPmeStBNBqFaZoYGRlh5UlwiMViWL9+PU6ePMniE8LhsH82uQ9XNNPW3QR42aLdStteWrtb314KAL+F0E1pYYsuJ6iTAMH3xy981CYvZPCCEfnldcNAMt2BQi63gncoSj1luaIoDQI5z4c0TUNPvAfrOtbioeMPM+sgnTdA4+V3MaiKgv5kEovlMuzTu4YKhQJs28bSgePQjk7AsWo4VCqfDoB00NnZgeHhYQQjaWzbMoTFxVnUbAfxNUOYPzqGjnQK5+/owdHxLAzDYEGSlHHVxwuLloUB0YTdDoGKC5vXAi9b0GRlZAuqW//NvosmRlGTEfuQ9S/TEug/ETYtmLLnx1sN3MyOdMyw6IbgTyTk2yUNno9+NgyjIW8BaQSkKViWhVAohL6+PszNzbGEQ5qmsbJjY2Ps4CPDMBAOh7G4uAgfPmSQWcSA1oX9VqwAzQQOsUyrSoZX1j6ZRUAct4wviJYG2Vx4oaBUKKCYz7taL8gyx7fNj9+2bUxmJzGXn2N9ktWB7tMhaaxeIACoARihEKzTAkI0GmXxT4rtIHCaZ5C1o1AoQNOC2LC2H0eOHYKlq4goGoLxOPSgAUDBgbEZ2E5dsYlEIkgkEiwg2ccLi5aFAXoRZabxZj4tvkwza0Er1oRW2litGVEUQtwYisyU6SYEidq+bGzVapVZAPgtiCKT4a/x2gefKY0vTwFKFBxIVgBxbsRUAGBgYAADAwPI5/PYuHEjEokE/vu//xtDQ0PI5/Mol8sNOdVpe2E7liAf5w68eAd/341m2+UJzXiQVzk3RUEGcfEV6VPcSqyqASgAbDRaAtzmQymXvSyYiqKwSH4xsRlv/XQcB1WryuqSRVF2DDrVz5rV+g6lWBC2ZcPMVxuCCSlOgSwYqhrAJRdeiMFN62EmA1g3P4RwIoSfn7gPV2x+NY4tPI1CsQLDMJhiRCnSfbzwWNVuAt4k5rYAui16zSC2vdpFvZ3+CDKBhZeWgXpyjlgs5tkOIE+0QkQnK08Lt8wF4bataJnJqMxkz9+jTISiC0MUeKjfWq0Gy7Jw6NAhPPHEE1AUBX19fZidnYVhGFizZg127doFAA1pi7u6ulaM2YcPgrg4ER2IvnIvHtOMF4hlWuEd7SgNbu4EgrivnzRmfiwd0TXoSWxomKtsbm4uBj6PiTgOEvRF8K4Dnu559wCdcsrfTyQTuODCC+rKRFwFwsspi3kew++GKJfL+I+77sJP/vNnCKgBjPaNYtoaRyKaxECyjMtHEoBTt0Jks3VXwcjIyHPO4320hrYDCFsxtZ2pZu7WX6toxZXB9ydqJqRF08vOL6KlUmnFQi8zB7qlDfaKnHUbt6gZiIej8NdkZ47zJkFxzrx5Eaifgc6nK3700UdRLBYRjUaRSCQQi8UQCoXQ0dHBBCVyJfiWAR8yyNyDojkb8HYvttKHV1v8dZklgr/uZeWTuQT5uZDJnBZIum7bNhYKp6AFtIY2gZU5APgFnFdG+AVcVAjEuRD4/AwkhFEdaptPTEY8ZGF+AY8+8mh92/KYCTWgQlWWAxQVRWlIc1yr1RCPxzGbycB0bBTnl1Dqn0Z2YQ6pdAc0bQ5xBYiGDKxZu54pL9Fo1D+98EWCVecZ4CVgNwtBMyI+W5q/qD206pLwkvLFtqi8SOStaCzpdHqFhUEGL5eEl9mTAoiIuOg7QXaYEM2FT1JE2ppt26hWq1haWsLc3Bw6OzsRDodx9OhRHD16FJZlYePGjSwSOBaL+QcW+XCF7P3lBW2ZK8yNhtvR/PnyfPtuZZpp/7xAIMYS0J+MdzB3oW2iYpYa6snM84RAQMXlF2+HIdCzzILCfxetLW68QzdC2H7hpUh39ULXNZx3wXb0DfSxNiqVCstBoqBREKLYomAwCAVgAcq1Wg257BJOjR3HiZPHMRjREAuqOLJk4URFQ63m4LzhEYQVFaVSCZ2dnf6BRS8StHVqodfiuhqtsBWBoVWtYDXtyKRq8X4wGMTQ0JCU+bTCaACw6H9FUdiJgmI7MjOn6IPUNI3tOuD/yB1AQX78As8zHL4/2jlAbQ4NDTGLCLkNNE1DqVTCwsICi0solUpIJBJIp9NIpVIIh8MIh8PQdV3+4H34ECAuZrKF34sm6f+Z8o5W2hDbEc3svMAuLtjRSBTXXnVDw44fN+FGlmbYth38cvcBWKdjjnQ9iP7uiKfQwgsqfF+Jnk7EOlJM4FcUBZFYHBu2XYB1m7Zh3boUNm8KQw+qTLCnOASRLwWDQSR6wwjGFEQMA9f1dSGiB1niJNM0EQ6HsZTL4UTJwZRlwEn0oBLrQUdHJ5KRGDqiMcTjcSQSCUQikaa/gY/nHqs6wlhcuGTmcrd6rZTz6s+rnhdxtzIu0ecH1CXgxcVFptmLfbg9A36s5IsnhpFIJFwJ2kto4X37ANh54HQ6YaVSYRkPqQ5P2JFIhI0rEomwuViWhZmZmYZtj3TWgq7rKBaLyOfzyGQybOfAM888g3K5jEAgAMMwfIL24Qk3Hzlv+nZzp4k05WWJlJn6m/EOsV47rkpxzLxPvVwp48ChfQ0Jv/jxiGcciAI8AJTK9eyitm1DD6q4/Pw0tEBrfJafTzlfQKVYYi6INSNrsJiZxUP3/AR7fvkwjh3L4OGHDmNqcoZZNzriKShQEAwGMDwaRiCgIGw4WL8mCMcC7FoNpWoVj80voWwu8zdd1xEIBOqnEubzcPJFzI2fQjKex0xmBk8fOwLztKIVjUb9LKYvEqxKGPCS5FuxHvAE14pQIFuk2x2vV33en8YzJSLgXC7Hsva5tS2bp8z0Z1kWMpmM9FnINBAe/CljAFhmMEoaRL47Yj6GYaC3txfJZJJl/AqHw7BtG8VikQkOlIaU/IaqqiIYDKJSqSCfzzOTYK1WQzKZRDqdxtTUFEqlErNExOPxtgQ8H+cOmr3XvBWMv8bXkf2J1i7e3E5uiHZ4h2yczeqKvIN88opS30U0OTVRz9oncROS8CD2yQsDNB9FUVAoVvGT+6dhWvaKMfGfxbgkRVFQLZZRLZXZtY6OjnpysRNjWMjMYXGxiMnJPAIBHWoggEQqgVdddgXWjgwhEolg545RdKWTqFSBU5NlLM0VkZ+vb3UumCZsZznTaSgUQqlUQiaTgWVW0Z/qhm2a6IuFsFYbwtHJcSzV6ien8mcU+HhhcdYcvaIkzl9vVu+5Bk9QXmVEiGPjg1yoPZEBifWJOfBBibIshDJthHyQsvE5jsOOQ+Y1ja6uLiYUUKBfNBrFoUOHYBgG2ytMGgI/RtII6PCh7du3IxAIYGFhAaVSCblcDs8++yzS6TS6u7uxsLDAAoDovAIfPkS4aeXie9+q242vK1NC2l1Y3OhP1o9bfZGe+f38iqKwSH+ZhUSmEPD5Qyg3CABUq1ZLvIMPypM916eefArAsjUioAZw5a7rMJU5hWw1i3R/N2oxBdddfz5+9p+PI1kZwNruGuazBeSLy7yDz8Zaq9WweSSOXCWIzZdchWAwiMLMPDLFWczMTuKReyIYrkaxRrEwMT6BdEcawWAQPT097j+Oj+cNbQsD9HJ7mbPPxgLfjADPVjvNfHl0nZf4xfJu2j3fFpnPyuWyKyPzYmyyedBCTiZ9CvxLp9OYmZlh241OnjyJfD7PtgOSUELbiUTfYLVaRWdnJ3bt2gXDMHDkyBHMzc2hv78f1WoVExMT6O/vRyKRYNuS4vG4HxXswxUyaxnvKmhVWGhmRWvV4ujWFt+OmyuPb4Ov70bHfJpgN6XDjWeStSESiSCfz68Ym8if6JqY/0DWH1kAKfBvam4c6d5RzOx/HNakhny0F8dOPIa5uXn8Z/5JZiG17fpx59QGBSwHAgHMZWvoHujGla+9EaFQGDP7DmPq6DjWrh1G0Snj0QPH0J3qwNZkHJFIBJqmobu7209p/iLAqiwDXgKB7PpqFvazaTZyI1axP7f5UF1+3jJG4GYRIWbAa+PtjJ3alZ2jDiyfVKiqKnK5HAtQLBQKGB8fR7VaZScoxuNxlMtllMvlBusGzxSq1SomJydx1113IRAIIJPJsFMLy+Uy1q9fj6mpKSZQaJrGdhT4woAPESJt8QuX6NfnF0ZZkB7fpqwfKteM58iEf/GaKKS4fZa1x/fPa+he1ka+Li20lHiIjwMS+YyXckZlSfBffqYqE/zp6POjJw5jnRGBqgYws3gMTx0polBegFWzsZTLYbBvCJnFDJaWsmx85I4MBusBhAtLZWQLR/Cjb3wHWkDD7KkJbNmwBZ2BDuTKBWzcugv7rQOIHjqGtaNroes6Ojo6oOu6Lwy8wGg7ZkBmEmvHLSC25dX2atBKm25j5MuK5jy+rky78Ro3mdC8mJnYJs/QFKW+C6Gzs5MlHpElCqHx5XI5dsBQR0cH1q9fj/7+fui6jqGhIYTDYQDLMQg0NjL5E8M4efIkTp06BcuycOrUKUxPT2N6ehoTExPIZDLo7OxEJBJhZybQNiQfPni0oq3TeyyjERmt8PWa8SQRzTR9+iwm+HHT4Kksf4YB7wZw09ABrOiDB7kUKYCwVYi8IxwO44ZXX4VwJAxVVdHTsQbJWFeDsEXWwoW5E9iyaQS2Y6FrXQRXvf6VWPfa1yEeT+Gay17FMgaapslijWzbRv/wGgRPn4MCx8H+p/bg8DPPouCUsOfgXszMzeH44WM4NXYEld2ziJU06Gb9XJNkMilN5Obj+UXLwoDshRUlea+6Yjutmsva9QW61W9HyBCZjWzB5e95MZ9WhSNRkxEZEEnedI8/3pSvR4cXxWIxZo3I5/MoFOpnlh85cmTFdiGqR8IAUN9NUKvVWHxBrVZDIpGAaZqYnJyEaZoYGxtDtVplgUCxWOysWnR8vDzAL6yAPJDYq66XYM6340anfF0vOnWrS/XF8l5zaOW+uIvAi/e1Mgd+nHy/oZCBcqkM53QcQr60ANOqNIxRUepxDYZhoKu7q64olIHc9CwWxveiqFXwb/d8D9pwCCq3O0JVVdiOg/7hYeYuoPioYrEIs1xFzbLQ09WDSqWMsbGDdcujtYhAPIRQKIRoNIrOzk7XOfl4fqA4La5WrWh9buYqsQyh3YVSbL+V/loZh1ufrYzRK+2wmIWQ/GoURex2dKk4VzdBjL9OvjvHcdiWQMoQRrkNSIoPBAKoVCoNhxjR6YOhUAjVapURNFD/7fnfPx6PwzAMnH/++RgZGcHc3Bz279+Phx9+GAcOHFj1b+KjOV6Kz5a2nfJaczMzvcxS1i7vaOaaaLUdcZyy8YrgAwjdwJ8PwLevaRo7q4SukX+fdwm6CQvUr8w6ATRmLaW2ezq6UKqU4ShANBpFoVCAoiiIp+IIRkIoFYtwyjUYIQO5pRyLU6J59HQkkYiGMF8wWRZGAAhFIwhHogiefl7d3d2IRqJ41UU3YvPIRsyUZvHQM4/gn/75n/DAAw+8JN/vlwqarmWtNuSWU5+u8S9uKxK42yIotsdf9/LLtYtWhRa3ucgITxxrswVcvEd79mXjE4UT2XMk4iQ/IH0nZkxuAXELJbXDmw0HBwcxODjIxmQYBos9qFarCIVCGBgYQDgcRm9vL+LxOJLJpG8Z8LECfNIdQC4402eZ0O/GM9wsjjI6E7fwyQTtZu8uPy4vqwNvCZH9iSeJ8sIOWf1kicLcxqooCoJ6EPHOxIqxyawmsu2MHYkU9KDO4ol0XYeqqlh3/jqEdQO1onnaBdCYE4LcCxXTBMUhDO7ciTXbd9QTmkUi0CMRlMtlFrcUi8Yw0r8GuqajL9KLrmgn+vr6fN7xAqPtdMSidO1ltmsVzRbeVsbVLlrpR8ZY6DMl8/Ey74vjpAXXzfWhKIo0NaeM8YifHcdBuVxuOKwkFAqxGAN+DHziIh6UgpgOHSmVSgiFQkyAoAyHlUoFMzMzGB8fZymNU6kUEomENBeDj3Mb/GIkWxx5ftFMURDLui3k4mLvRe8y3tYqH+LHLxNyRHpQFIVZ8MTx0zY92biIbt3mrgYCiCSiDf24jVc2/4MnjmI+uwDHcWDEdfRs7EPQ0BAN5xCuLG8fJJehOP98sYKxybl6ArR8HoXFhfo5JlAQDwahnbYk5PN5HBs7irHxMQCAFtDQE+9Gd3e3n9L8BcaqTy2Umftk5jwZRGLjJVYvy8HZhFc/bgs5f0/MOUDXxYVXXLCBlQIFXQOAYrG4on8yEfJwCx4kUHyBqqrMXUDlTdNcwYT5+oFAALOzs8hkMuyo0Vqthg0bNmDdunXMBXHkyBEmfITDYRZM6MMHD69TN2XKhRf/cFvcV8M3vOi/Fb7gdc1rPLzAzpchSx7xQRnv4CP4CYqiALaDuRMzK/qjJEA8ZNZH3ipYyBVRS8WgRsI48tgSjKLBhIFKpcJ4Bz9Oqh8MBjFz+DDmTp0CnHpWwmq1ims2bcWV23ciEomgWCrhl4efRMWs85ZINMJSm/t44dCWKCa+mG4LkVheVtZNIHDr97kWDsT+vO7xjEsUhsTzxMW6/NwpRTGwHDksKw80muZ0XcemTZuwf//+FUIJCSO1Wg35fJ5pG7T9JxaLIRgMYn5+nmkaMssGfQ6FQkin09i1axe6u7tRKpUwNzcHy7IwNTWFPXv2YN26dTBNE/F4HOFwGKVS6Xn9vXy8uOFmPRSvub2HYj03a4BM6Bb7civbzlxklr1WLA98OYod4q/x/IC3msg+V6vVBiWKBH6xLlBXHEgAicfjeMubbsM/ffe7qFQrbHxMyIKCSqGCzONHEIlEkC3noKSCiCgxbNi0Eel4Ag899BBrj3cX8GMMBFSsH+2HHQjhtTe9FmljAAvzSzg4Mw3TNHH45BE8svdRXLDhAqhGAF1dXUgkEuwcFx/PP87ooCIZQfEvoZd5ULzP11+t76gVwlxtu17mRrpO/nVKE0ymQp443awfsmfA16N0wUT4J0+eZGMhEz4JAnSkMLVlGAb6+/sRDAYRCoWY9i5Lv0wCDcUH5PN5rFmzph74E40yawYdYRwMBnHixAmcPHkS6XTa3yLkQwov3iEKC158QVZWhNdCL2u/GX17zcNrLDzf42lNJvQEg0H09w0glUyzJGC8m4GUBf6YYTfwfIf89BS0XCgUcM999wGnh0CWAxIENht9UJV6MHIimcS67cO4+prr0NXbi8Gtm5FMJRmvEwOQaQdSsVhEtWril08fxpbt69A/lEYgEEUgWO9ncHAQqqLCcRTsP34Auw8/jcHBQXR1dZ113u2jdazKMiC+zDKtX0YYbm3yDKFVU5wMMq2jnXo0HrdxiuVFhuY4Dttzv7i42CAt8xCjh8WxiMej0n9+ftlsdsVCTv2VSiWWrISCBk+cOAHTNFEulxvaI9OkotTdFhQEuLS0xPo6ePAgMpkM+vr6MDU1hWw2y+II5ufn4Tj13AapVAqpVAonTpxo6bn7ODfgps1TTgtR6/eyOLZiPXC75rWQe11vRev3skrwQr2ML9Jz6EilcPHaNfjZo4+iXDUbcn4Q+ARGMoGK5wliYCblFBk7PtagsNA9qMCzxXEoARWZuTnMZzJIzSVw8tA0ioUixo8fB7jfitqgnUyDgwMIhQyMjZ1gwsvexw/CXLShhztx7PhhzMxMw7IsBAIBTGYmAQ1Yqizh/P7z0d/fj6eeesr1Wft4btGWMOBGmK0SsBexvhjMyqJgwkOmSfCfScIuFouMSMR2+bboumwMxAT47YfieQZ8O3zOAXEePGOwbRuGUff/0cFL4nzXrFnDziHgF/xcLod8Po90Ot2QUXHfvn2IRCIIBoPI5XLo6+vD3r17/UyEPhogezfpu1iOpxeRd5yJO7FdrZNfwN0sGW4Q58HTg3g6oa4b6OrqwaGjh2F2pqVKhpcyRajzIAOlUpltIXZzW5KQQemFqQ9bAZTTQcGBQACVkolgrH42QjgchuM40oOXNE3DDTdeg9mZORw/fpIpJvsPH8apyUn0DQ2je3ANgkGdZTl96OmHkEwmEQqFMDs7i40bN+I///M//UyELxDOKPRbRqCiuU0mMRMR8N9fDGjGSLyEBMdxEI/H4ThOQ6pft/pubdF+f4KoOfFl+QAevg/+2ZJQQf7IcrkMy7KYAMOPxTRN7NmzB8eOHWOSfyKRYP329PTg0ksvRTweZ7sIFEVh+Qvy+TwGBgb8qGAfrpAJxV5CNg/+/ZaZ9r2sCF7jaIZmdOul9Xu1tUzDNjZv2gHbtrF/fBJmzV7xHGRjENuKRiO47IpLoagKUyB4PsH3KWZEpfb4baCWZbFUyETfpmkytyRvWSwUCvj2t+7AXXfdx5SOnp6e+vHttRoG1m3E1be8CcnOLliWxRIUVSoV1Go1zM/PY9u2bX4W0xcQZ2UfmOyFdSsnmgT5+vT5hUQz06PIfIi4LMtihwPxBCgyCXGxFkGZu1rRBGTXxWdMTIF2BVAfJOETYyBNgSR6XoBQlHog4dq1azE3N4darQZd15n2QTkHisUiQqGQn2/AR1twM7HLyojleA1V5EFnw0rQqhWAL+s2fjfeUS6X8YsH/4vFBfHaOu8m4A8UE5MoKYqCXC6PB+9/CHZt5RHG4jh4iHFN/B9lMKUxk+BfLpeZhk98giwGxG/oSONkLI4LN27F1NgYbKuKSCTClI14PI5t27Yhl8shHo/7Jxi+gDhjFc5N+hU1AC9CEU2Irfb7XCw4rRC2G2TmLVl98YQxKhcMBhmxybQlvk3RdCku5mKwEv2nhCZu86U2gLrpLxgMMmvC7t27kc/nsbi4yA4oUlUV8Xgci4uLrO2BgQHMzs62/Nx8nFuQ0Tn/TrfCU4DloDqZZcCtvHjdix+53XdDM97lJaiUy6WG67zSQNd5TZy/pij1IOFyudwg9PPl+EA/kTeTC4OeJQUH0rPidygBaEiLzt8HwLYt67rOTlqsVCp44L67MZPNYW76JAzDgK7r0DQNXV1dGB8fZ9bK7du3Y2xsrC3LjY+zg7Nmz5UtWG732mnPjUG4tdmOqXC1Y6LPJAXz/nnZIk//iXgpVbFYhj/VkG9P0zREo9GGoD6eWGXj5Bkl/YXDYViWhUQiwfx0xFx6enpYvAO5E2hngKLUt0HOzs4iFKrnEyeCputAPclRNpvFxo0bsWfPHj9uwIcUbjTqlqOfLydb8L0Wby8rQytmfdnY3fpwU1BkmjidNcIL72LAsWhJINcc1eOfAZ9LhK+XSMUxvG4YB54+yFyGZF1ws9KSRYBXKvq6u1AsldDZN4hUbz8O7n4CQU0DFAcbNw9iYa6M7kgMZcvC9OIiOjo6WLtls4rj42OIRhUkEgbC4RQikQgqlQpzScbjcczMzOCqK6/Cz372Mz9u4AVAW24CL0KT+cyaQZRQRW33bGj/qxmXODY3yMxrbv3zbgMyB4rleAInQiT/O7/dSDyOlEDPKhgMrnDBkCmfAnYSicQyw0gksGbNGmzcuBHJZJIdRUwnk4VCIcTjcWzduhU33XQTrrvuOqaNrF27dsWuhg0bNiCRSLTzuH28zCFbEAmiO40XYN0Wbtk1kQ69NHE33iKOpZmwIZbxEmT4+fDR/ETLYtu0eNOf4zjMfy/yTv7QIxI2dF1HrVYXILSgBiOkI56IruAdAUVBQK2PJdUTQiDQ6MaMx+O48vKLsXXTeqRjSWwf2gxNrZ9dMjQawzU3R3Hdqzdj1+habO7qYm4C0zSRTCbR0dmDyy+/GO9+x/l485u2Q1GASDSKbZde0pAhNagFccP1r0RfX5/0Gfp4brHq3QQy83UrC3g7Wr7Yp1t9t3qrMfW3ClrUvYQBN+uIVx1+3DzBZrNZZrYPBAIoFosNAYRksrcsiwkLZH0gLYQOP5mfn2cLuGmaKBaLWFpaQrFYRC6XY2enk4ZAAYOlUgmZTAazs7PI5/PMLEl5zMvlMkKhEDo7OzE4OIjFxUXf3OcDgNz07mWiF4WAVjV8nq5kWraY6IfvV6Ype41fHItXfR7kc+ete7IzCqgtPmeATECSCT2kWZumib1PPIPOwSj6hlJQyhEc2DfG/PyqqqIzYkDXApgqVBBNBFHJA5VyPakRHVyGUBC2FsCpw8fRG++BogClUhlzU0GMHy9hbuIkZsbq8U61Wg0dHXHkSiVoER2maWFpaQkzszZOnSpgPjOPQqGIfLGAUCgETdOQz+fZOSc7duzA+Pi4zzueZ7R1aqFIXO0Sqtt9cYGXETcP8nt5aQsyUxtfRlyc3cztq4HYtzg3cUwy4qYFnjeXydojRkEnE5bL5Qazo+M4LNiPLAaWZbGTxUjDD4fD7IAS8jsGg0H09/fj0ksvxZEjR7B//36EQqGG5xcKhZBKpVAoFJgm0NPTg8XFRfzbv/2bb+47y3gpMshIJNIWLXkd6StbDL14h3iNMnKKFgReW+b78bIuyOiR75f/LhNyZOPj3QayuSlK4xkGomJB/KC7sxuZ+Qxs53T8TzAATVdRLS277kgr7+wMY/PmTjzxRN3dR5ZB27aZazEajUJR6tH/oVCIbU3uSUcw3JfA4YkidN1AoVAAACQScfSt7cerf+UGTOwZx733PIBIJAzbXp4DBQwuLCygWq2it6cXGzZuwOTkJD73uc81ZFX0ceZoxjtadhN4LdgyM5m4WMsOsBGJUgbZPdFM1qyObNytmPZWC15YkQknfP/EhMT7iqKwxZtvg/yGsVisISiI3zFAOwFISKDtQGT6p/uGYTDfXkdHB4sbIIsCxQM8+eSTyOVyDeOgRd6yLCwsLCCXy8GyLBSLRYyPjyMSiSCdTp/V5+rjpQl+sXL74yHSN7/7hq6T6Zyu830RZG3TIteKMuE2Rjce5wa3MmJ9oleRJ4i8geYguhCI76iKioG+QRinDxkDAMusoVwwkdBD2N7Z38A7Fhcr2PtMBo5jsx0CiqIwxUDTNFQqFRSLRbbVMJoIY3hHAhWrhvMuvAxXXnkVO+Ssvg2xgOmxaTx191OYmZ49bUWtj49SGZfLZUxMTGB+fh7VahULiwvYs2cP4vE4BgYGmj5XH2cXqzqoCJCb+rwIwy19ppvGINPoW0U79c6EmOmeyBxkmj//vBSlHsznZSbl04iKY6ADQ/g9wbTY8+ZGPn0pCQHUXq1Wg2VZiEQiqNVqyGazDVsaeYap6zpmZ2dZHT4NqWmajGFQ2+R6GBwcfE5cND5eWmiVd8hoh95j+iwzpcvabfe94y0BXvVlSo84x2Y8RVaHaFO0NvDjobihwVQXtNOBv6J1AwBqdg27n3kKxWJhhRJXqpmYrBYwOjzICQQB5HMVWFatIaEY8QzaJsjTt2Va6BlOo1Ax8eyJaczNzzUkPyOBJqREcfjwsQaeRf2WSiUWtEzKBZ2cunPnTp93PM844zwD4kvbCtzM8uL9djR2kYhlTMVLQm92vRUCpz+37Xv8Z68z3mXaiDgv2sMrnoMg5jAgbYPukX8fqBP1zMwMTNNENptt8PHzp6Ndcskl6OjogKqqLKiQZ8rAciYzskSUy2X09/evyFTm49yDjHbE99mLVr1camdi4XOzKMj6kbXP99sq7+PLinROi7Ds6GNW3nYQDgZdAzBpEeYtC+TiVRQFjqLAgo0LNm/EUE83o3PiJfzcyTpJ90KRONTTfMus1JDZr6JcrGLv03ux5+k9LGMp1Y9H4rjt+jdhpH8EilJPk26aJgKBAOMhwDLvIEtEPp/Hpk2bpMe5+3jusGphwI0wzpY0Jy7szcq6XZedJ94OmhF6MyYiEjzdL5Xq+4rJFdBME6F9/WSiJ8ZB9/ix8nMOBoNIJBLo7OxEKpXC2rVrGXPgExyRVK9pGnp7e9lugGKxiLvuuguzs7MNjIPKR6P1M9RJ4s/lcuxApEAg4B9L6mPFu+1mgndTEtpVDPh+m2n6MoGAyouZNN1oncYojtltPAQxLkA8/lx0FyiKAkVVcHxxDrbjYMuWzQiFjKbj2rhxI6PDarWK7FIOT+87gFrNZoeWkZuBF9474yls37INuy65FKk1m7Dx0tsQjtVdf6VSCQf2768ffpQrwKyaMHQDG9duwmDfEBRFwcLSAv7qn7+MIyeONAgVtJuqo6OD8RNFqQc2U36CQCDg70h6nnFWMhDK0Iom7iWZ8+Walffqx+tQoFbH26yujOG4+SVFrYDfiy9jmgQ6dIi/R6Y80zQRDoeZBYAILxAIIJlMorOzE4ZhYHR0lPUZDocZg+DPP4jFYrjuuuuwc+dOtjthamqKbWmivvlT0M4//3xcdNFFiEaj2Lx5M3RdZwSeTCZdn5uPcxtegrTMTA4suxt5gbdZPJJoZZDxDt5NQd9l54E0Ey7EMcjGxM9VdpqhLHsp7yIh2puenkGttvw83KwrzzzzzIpjxQ+fGsf47CwqlQq29nSiJxaBqqoIhUIIBoPQNA0XDm/H+QPbEAhouGDzJUgUx+GYJSSTSZZllFdQert68YE3fRivvuI1CAQCME0TB48eRL6QZ3EClPHUsixks1nc+vob8eY3vw4dnR3Y9YpLEA6HmfWyt7e36TP2cfbQVgCh2zWZ2atdYhEXfpn7oZnJbjXag9eYxLZbbd+L4YhBPzJzp8wq4tY/tVku1w8nMU2TpRlWlHp+AUrwUS6XWRrRUqnEzlAgQUNVVSwtLeHee+/Fk08+ybYpAsvCiGVZrC/qm2IGQqEQNm/eDMdxmBaQSqV83985DjfeIS6+Yp4NNxeAKOR7aeF8W1SW+nXjK16WCxEy+hXvu/EqcVxkZhfb5oUAigOybRuLi4sAnBXPjn8GzcZWq9WQzedh12ool8ssSFBVVZhBFb1GLzITUwguzqKcm0e1WkE2m2UHmVWrVWb6n5qdwt9+7yv413t+iGq1ynYx0RkH1WoV+XyebWusxxaVYOhBhCIh7Nh1HmqnkyIZhoGBgQGfdzyPaDnPgNtC2IzQRUIi8zT/ovIEK1sEzxbOZlsyiAzMi3nQcwDA8gDwbXg9V6rDL8gUAUx9UEDhzMwMMpkMLMtiBEwLv5johNqbmppibgn+fALZOFRVxbPPPsuEjmPHjqFYLCIQCCAajSIWizEfoQ8fPLwsffyOHNnCLeMtfH2v77LrIr/yKiubg2x8Yn0vhYo/qVRsU0w1zvPQjZtGcfDAMdRqtivvoOdJnyPhKKpmhfGCo/PZhjTFqqqiWq3i8UO/xDMnnkW+lMfE7CRb1Ok0RBojCRW2bePZI89C13Xous6UBvF35rdP/sd/3o94PI54IoHDew8iu7gIPRhEOp1GZ2cncyv4eO7RVtIhL2KRleX/N7vWzkJ9NgQFLwbSjHDb6UOUzmVzpwVXrCOCJ6JUKoVSqYRCodBA6KKQRXkHFEVh5j8KPqT++L4jkQiLIq5Wq8z8KMtnQFaFQCDAEhAtLS1hYGAAS0tLzO8XDoeRy+XaenY+Xj5ottCK4N9/2bZCapMgy97n1p7b2NqpJ9JYK/NyE6Z5iAuyaDngyxH2P3t0xT2ZwETPSNM0XLD1IpycPI7x6VOsbX4XEs1rKbeEQrGeN4DM93TiICkffF/JZJKdY0LtkbsyoAVg6DoikSjy+TyzGAQCAeRyORQKBczNziK2swPzk4sI5oPo6elBIpFAJpNp+nx9nDlWfTaBzJdG4F9o/rv4udV+WpX0ZXXcFn3Zwul2n6/bTCBwI3SRGXR0dKBcLrMkHV6ELzOfehEI1eejdongTdNEKBRi46EDTsjHLztPgISEaDTKtgdpmgbDMNi2I54xzs7Osr7S6TTS6bQvDPhw1VxlB3fJ4gC82mzFSiBTImR8TGxLxn+a3fPiFa3wEdmYif63bjwPmYVZTM2Mr3hu/GIu4x22bePRpx8CHHce5zj1rKXVapWVIc0/eTqNueM4iMViyOVyLFZJtPhSQGK6O4ae7RYKczZq8xp0XUc0GkWhUGiwPNZqNQSP5GBXbcyUZjAwMIChoSFfGHie0FYAoWiyc4OXWc9NIqYyq4WoTRAxaJrWsI2PxiYz77VCpO0IM9Sm7I+S9PDl+LmIJkKxTT5ngDgmqkvpklVVhWEYGBwcZGcUDA8PsxTCqqoiGo0iHA4jFotB07SGLYjUlq7rSKfTjIjpP2/ZMAyjwWJQrVbR3d19Rr+tj5c+WnWd8QIvjxVR9crydlr6z7dFEJWUZoI6bdUlGqCFTuQbgFxg8RIAvCCOk48pEgMKT44fQ6GYa7gmPhcAKw5D4xUC0zKlfdfPJXCYRTEQCCAWjeLaiy5AZzqFm6/chV+59jIENQ1LS0v1DIbd3Uglu7AmNYCwriMcDjekUC6XygjHw+hZ08uyDWazWbZNmQI1o9EoFEuBWTWRVIKoFkpYu3atzzueJ7S9m0B8AUWJ1EtCdxMkZBoxj3alaN4kFjy9J1e2391NghcFhHbB1xezqdEzqFarDSeN8fVkDIwIUyxPZSmHAAC2m4CeheM4iEQiiMfjCIVCKBaLLCuh49SD/YaGhrBt2zak02n09PQ0BCESYe/YsQN9fX0N2xr7+vpYvyR0UL9E7P5+YR9A67xDjIwH5FH8ooDNlxXRigIDLB/xres62x4rvr+8wOLVrhf/kN0ThSE+iRiPpXwW+UKuQWgiWnYbD7/9WJyDqqpsZ9FAfxyRSJ2eiXd0d3TgwpFhrOnsxPGpWZTKZWhagKU47951OUZufSOG+7qxbnAtsyjQuGw7iJ6N78Ro+lVw7OWD2rZ0dME4vbU6EAiwU1Idx0HWLKNiVREKhVyfr4+zizM6wpg3iTW7LprJ211kZe3x30VCoPzdtKjJxse3I1uIqawImcAjmvl5sxxfphXBxq0OmfDFsxmoHyIyCrjh6y0sLKBQKDCLAj0fChKcm5tDOBxGqVRqCPar1WosWHHfvn0sj4Ci1M84iMViyOfzqNVqzJdIWgUJGj58iJDxCJ4O3QLpZDQn0rLsHt8O9SVbGBWlHlvjOE7DYWBUh29HNI03UyK8rCM8eN4hUwZk25bFOnSNTzAGgAX/8e1SKnPHcTA+kWMCAvGSYydP4qs/WUDVNFHlDkIjV8L80UPoSaVx0CqhWCmjZtuAs3yAmm1aOPhfP4cymYehG1BUBWa1io5kEnOwsbi0hEgkwg5KU1UVFhyowsmOPp5btHVQkWdDHCE0+wHFsvxnkWBEZtFsDDzhuO31d1vMgeV9v61EsLppIDyh8Z/dGJRM03e7Rt+DweAKzYGIPxQKsfHLGAO1QRYTWvBpBwLdj8fjKBQKbGcBtUeWBz4lMjEqSj5E+Q4SiQTK5TLuv/9+aTyCj/bwUmSKkUik4buX8A2sjJNxu+/FO9ysjW6LNMvrf9q1yJ9h4FaX16wBMJckBdfy5US4CSn8fKh/L97Bf6Zx8M9ODC5WVRWRcBiVShU1u9bAX4JBA/39OzE/fxS1WonxLjEXAvENUiTC4TBUTYNZrUJVFKiKitGB9Tg5M8Z2FpDQQflQSqUSc8EQ76gHONctMcGgju7ubuTzefzDP/yDvxvpLKAZ71h10iGZts1/FglJNjB+sZS14WZGk7XFL7pU1q1tWTv0kpMJvBUN3m1efP/8ddHHLxN8ZM9MZnXYsmUL4vH4irK0758+8+0TotEoAoEAIpEIwuEwsypQMCAxwnw+DwBsjzDFBvAJkHiXBM0xHo+js7MTgUAAoVAIiURiRTY3H+cmRN4go3ne181fB5atYAA82xGvEURaE7VkXjAQ/2RzIb5BAgS/A6edZyK2L85NlpeEFxJ4/uJlsVRVFbe95lYM9S8fBLRsITAxPb0PtVp5RVCwqqpQVBXDa4dhhAysHVqDjSNrWc6SYj4P8zSPqNk1nJgeg+PULbPklnQcB5VKhSkqhmEwZYL4ysjIIC68aCs0TUMikUBvby9zQ/p4brFqDu2W5teLCLw06XYgsxrw98Qc2aJELYOXyc2tPk8sXgQoEzxEq4G4JYjq8kROqNVqOHjwoPSIT1Gj4Psgcz9patVqlUnnfH1+fjyxAmDnD9DBRMlkEl1dXZidnWVmVQAsQNI0TQwPDyMcDjMhxce5C69gYRmd0H+RJlrZbSDyFpFWxc98DA312Qp/4q0UYiCjW91mWr6oVIjWP94qGNS0umleqC/jHaZp4od3/RjFYkn6LExzeWcRn9dgdHQTZmcn0DfUj1KhhLmFeUTC4QbXBX+2Qa1mNRx7TzyZAjNt20Z/fz82btiI/Qf2I5vNwrIslEom9u8/zhKknXfeeUgkEigWi56/gY8zx1k9m0CUXL00XVFzb7dPN2ITF6122hYjePnxeo1TZuZzu8ff59uNx+OIxWKe5kMelNBDLOvGyBzHYXuAp6enUSgUUKlUWJpSRVnOxR4MBtlYKOsgUDf39vT0sEQglLegq6uL5S6gYCt6lrSFiM4w8HFuQqRXGZ9wu0eghZB3IzSDzOrmxXfIMsHn7G9lbmQtoz9RqG5X4eHHzvNKmZBw8eg2bBkehaY1nmLK9833v5TLwapZDe2TW0/M60B/hw/vw9JSFo/8/GHMzcxhIbuIzNI8FLXOZyjQr6uzCzfccAOCwSBLlQ4A8e40htaPsLgiwzCg6zrWr1/PMp2GQiE4DlCt1OO8QkYHMpl5dHR0tP3sfLSPVQsDorTudt/LrO/WnltdN21CJPhlH1jrUex827yJTkYczebSSj+89cJxHBQKBQQCAcTj8ZbbFAUHkUm6mTb5/2Tm58uSuZM3RQJAIpHAtddei0suuQQ9PT3Ytm0b8vk8HnvsMeRyORaERJkOgeU0xul0etWuFx8vfYi07bUtz4tn8FYvvp7buyW+w2J/It0TPbodMe7WBv3xLg5eMG/GO2SKjtgPPbNardawt/+pUweRWhvC+ZetbVjA3Z6nyGuJD7EsqAAcSXZSPuMpAPSs60W8I9Yw3nwhj8OHD7OtxYRUTwde//a34NZbr8KGDaN43eteh0wmg2988xsNVsW5ubnT/QDVqgnHruG8bVt83vE84Ix3EwDyrTYy7dhrgZNpy25lmo2JXmwxi1crc+G/J5NJtrjx10VmxPfbaj+KsnxaF+3Vz+fzDQKMW5tu/dDWPsoLrqoqM6+JmgqhUqmw58SfGy9uPQSAhYUFhMNhDA8Pw7Is7Nq1C7lcDmNjY6x/shCcf/75GBsbw/T0NDsxsdXfwsfLHzLeId6j++KCKZq2m71TbsqH2Be1R+6zduhZHG/PYD+cmo3ZqemGcTrOShdHO/OgPmhHT7VaRalcxlOPHUW6Mw6guSAg49NGOoGhvjU4dfQwRsNpxDQDTy2cbGiDr2vbNo7vOc6EEnJZVioVjI2NsRgK4mfzY9PoD/aje30SoVA/3vSm2zA9PY1HH32UjY0sBK991Rvw5NOPYXziIAx9BFs2rvdTmj8POGtRXW5EIUrwMoLm74vl+Pa9CEa22NHCtFozXSKRgOM47PAOkTF5CQRuwhD/WTyPwLbrBw7J5iQDMRaqTxG+dHgIMTTaMcBDtKbI9ik7jsNiA4A6oT/00ENwHAcLCwsoFouYnZ1t0ADITLp3716mJVUqFcTjcTY2H+cW2lUSeN7Bf3Zb0L3aEttsZawAmBusWSC02Db97x0egG3VsDCXYQK3VwxSu7yD4m+o70rZxOSpDLvGCx8yywjxC0VR4ChAoCuOVFc3Jk4cw2Q5i4QRgaIoK1IPi+2QhZMfK5Wl2AAAKJWK+MmPfwgHDqanTmF+fgGHDh1qiDmwzHqg8t33/jtqtdMKUqGA9WuGYBiGLww8xzhrWwsBefph144F4mzFekBodWGnhdBti6FX+/TiN0up7ObKcCN4saymaUin05ibm1shKLlJ9fx30fwqmmGJ6PlgIL7tQCAAXddRq9UQiUTgOPUIYL4OHWtKORvIb1v38TkNiVpGRkZw7NgxVi4YDCKZTCKVSuHf//3f2Q4FH6vDS9GyIm4tFMGbqt22n7opFbJr7dzjIVordF1nUfCtCgQ87yBFhA8wFNMDy+bYKu+IxxO49JLL8PP7723YAcXTv9d4eV5B5SnIj3gmHaJGWwB5y4amBRExYjDtMoZTvajWLMyXlxrOP+nu6sBgfw9OTUwjXyix9hOJBHNH1g81i2Hn5gvx5DOPoVaz2MmFQ0ODuOryV+A3Pv5xTE9Pe87JhzeavcNnFDMggvcrNasr0/zd6nlJ+25SL0/8fKR+K5C1SW2JhNbKPJrNjc4nkLVJTEV23Q3EgPitjDIBg2IUtm7dilgshsHBQWzduhWRSKThdzQMA8lkkgkLBMowCNStKJFIBMePH2d16bmXy2WUSiU/m5gPACvpiwRKPq21CH6hlpVxE5JF2pMJz25tUYa9VuA2JtG6wdNyMz4hPiOxvGWZOHrsiDQtOfVHCYK8eId4n3Yq8M9AfFaapqEnPoxrR9+OrmQfLl9/Pt506auQTqYacjRsWj+Cyy4+D5vWjzbwFApgVlUVfX19SCbj2HvwSdRqFlNgAGBxMYvHnxiHoXe5PnsfZwctCwPNJFUR4ospLtB8u14Eyf+XEY+sHk+Atm03HMzTLmT5FHhJ2m0c4nUZ8yEmWCgUWFlVVRGJRBrcG6R5y5gD1ROT/dA10t4TiURDgCG1WywWMTY2xvIDdHd3o7+/H7quszEUi0WsW7eO5SfgtzXRaWYU78BvL6LnR3kM/KjgcxMyH3krGjpfVvxzqycr0wrvEGmV6CMajbbFO0TeI46DTvETx0t1+f75e0TbPD8slUo4duxoQ/r10Q0XIRJNAQDLmULJkGTPQ1EUtosgFo1iy6b1cBwHUSOM0e5+OI6Diy++GOFwmFltqN2F0hSemv0ZELAwuGEE63dsxtat2xCJRBjfeWrPAQQCfSiUHGYxoBTlyUQCoVAIc/Oz6N6pwYjxcRo2Cz7O5WexbmS45d/Ax+rQlmXAbeEWy4hlveq5EXcrEnwzcyG1T4fxtEvUfBv8GGT5wmXj4K/L5kll+OxeABq2JskEKL6+6B90nOVYBMdZzgOezWaZD5+3FFDgIqURDoVCzDpAwUGWZeGJJ57A9PQ0G1swGERvby82btzIzMD8NkQAGB0dZQJFMBhEf3//qoUyHy9teNExf18sK6vnZh1w4xFeJnmxbx6O4yCfzzfsCmh1rlQfaDyOWLbtkP8sCgQ8bfNtiyZ+KpdbnIbjNB5sJNuGyY+B+fXLZRw6MgZFUWDWTGTyS3AcB48++ihLZc6PsWpWMJcbx1J+CZmleYSTUVx18y1Id3WzbcbFUgnf/cF3sP/gfuZuCIVC2DIyihsuugTJZBKqEsDsFFAuVE+nSldxyUVp6Hqdd3R0BHDBef6BRc812nYTyAhTJDiRGPiyYp12IS7MMvO3CNni3S68TI/82GSfZW3Jgm74BVr0ncqYAX+P5sj7JG3bbtghIPbPpxJWVRWTk5OsDEn/NFf+uFFiPnNzczh48CCA+oFFtCuCcOLECebL1HWdWSd8nFuQ0azXQk913MrKeEcrlkqRhrzKEvj03F7lRPDz4Bdu/pqsLZnFgh83T7eyv+ziNCrl/Ap+xY9JxjtorvS5alnIlQpMgKF6xC/ImkBbk//7mceh1nKILmVRM6ss4Zht25jLzME0q8zCqaoqDp88if964lEE00lsuPBCVGarqJSqp5+RgiefXkKlYiKeSmFgdC2S6bR/zslzjLZ3E7RKULz07iblNuvHTZqX3ZOVE8dMJu5W+ufHzY9dHF+rbXmN0228suviM+Cvifna+TkAaCAmuk7aP53HMDY2xqwF1CZ/7oDj1KOEh4frZrtMJlPXSE7nGRCDkciykMlk2I4C/4yCcwtuygF/fzULtayPZmOQ9Slekwn9FEArG4+bRYLnHaKgLnsmzfiaKCC53ZfNV3aWA1+PFmr+Pu9WDA30wy5X4ORyLLjYMAzmgsgW8vjF7qdQKpcwNzvL5ktuQ+Ih0WgUOy7dDpQVnDx+Elalipnjp1BeyrPgQgDQNAOBgINcNot9e/YgEg75OwqeY5y1PAOy6+L3VhdON8lZfIHdCMJNAl6NVkpEzROyyDBk/Xvdl5WT9Surz49BNkeeiMXASZ7gKSkItVWpVGDbNg4dOsSken58/KFGpmkimUxiZGQEJ06cwMGDB5E+LbmTq4HOMwAAXdcZEWua5qclPkfhtgDzkAmxfDkZH3Brmy8jE6Jl5eg/vzDyQXTimJpZB3jXgExB8oIbr5HFEHkJO27uB9kzovviYVCVmVkEVBWObbMdALTgEz3/9L8fRKlUQqVSaeAdZEkwTRPFUhE93T3YsnMHnt39LB6+77/R1b8NGlQUC1l0dnVAC6qYHJ9h41iYzyA6VN9eKAZb+zh7aFkYoB/G6wWjz2K91Sx4bmXd2halZp6gyddFRNTKjgexb9HV4GXhaJVhNGOMzerwWot4dClfRtR0+N+RAvwURWH5CWTjILcB7QjIZrMYGRlBKpXC4uIiYxAUvGgYBktGoigKTNPEwsJC0/n5ePnBiwfITiDk/4ttuAn6XpCd+yG2TfeIXkmTJdM5n4TLSwPnIVrs+PG7HSLWqoVE1qabpVHGZ0lZ6O0fwOLCPMzTgnskEkWhkF/hnrBNE+BOGFQUhbkzVVVFPp9fEVhNionj1LcrU4rz8elJvOEdt6Ovvx+zJ6dQLC4goKuwTB2RaAj9Q93IZYsoFotQVRWVSgWTk5NnZIX10Rxt7SaQLXLNzP5e0uuZmPxErVqmjVMCHN5ct1q0OnZZWTczIt+W+BybjVlkLIqyvI2I37PNt83/ZlRPzKlOmhC1HwwGWZ52Kk+L/H333YexsTFEo1F2giKVXVpaYmOhPcduz8LHuQHZ+82/o27gF2leWPDSsmUCsZslTnZdjH/hy7XzDvPBfURbzfKeiHMT+Zq4k0nkHzLeIXs+juOgXCoiGopg8+hm2LaNDes2IxaNS3kH3xblCKA/y7Ia+IOiKIj1diO1fjlFcrVahRpUcSp8Ej/45ncxfWgcHR0d6O7uguM4iMfjWMgs4b9//gQTMvjkTz7veG6xKjeBm+lbJMpmL2SztloZh0zqbWYGbMVEx0M0ubUzLrcxySwsXm3xRCma+sSEQm5HMFMdPge7mJyItxxQGzzzIaIvl8uYnZ2F4zgYHh5GuVxGOBxmOQqmpqbYueWLi4sIhULM1eDj3IPbYiRq/CJaoVWRNt3M8W4Cg5fgLVtgWz0kSTaPdrVbmVmfp99WrLJuvFBVVWQXFxHUgqzMswf2Qg8GVzw/XsEiRYM/NIoUEYonCAQCUMpLCJtVZFWFCQP2ko3BZ4YwFZ/C/MIs1q/fDLUQQzKZhBbSYTkO9h07iW5dQz6Xw9TUFLMytnPWjI/20bJlQCatemnLzYjrbIDaJ38ef03WbzsLulefrVgu+H5l192uNRNiZPUCgQCSySTLFEhHDDfrkzd70jVKaUx96rqOaDS6oj3KWBiLxVAsFtHX18eOMp6amsKaNWuQzWYxNDSE0dFRJiT4wsC5CS+aa2ZhbIWmqRzPB8SFVNYOHbPbCv+QLcytgOeX7VgWmgkpsrnKrC9uYwGAkG7gwnU7MTDSh0g0gmgkglQy1fSZ8LkSqCx/PDEA9PQFMLpWhW4sWyzr1pEaUh1JhPoSsOwgIiOjSG0YwtT4BI4fO47hbTsxNTWN87Ztx66LdiKdjrPDmXw8dzgrAYRu11pZdNvV0mXgg2nopaT99Xw/NCZ+EWxV0xfbEa/LwPfJj68VTacZwxAtA6ZpskAe2Y4JN2bEf9c0rcHMZ9s2isUiOy+BNHvbtpHP5xGPx5HJZKAoCgqFAnK5HObn50+fS14PJMpms7j22mthmibuvvtuXxg4B9GqRVD23osaKn9f5sOXte9Fb3xAKx30xR/rzbdBwqxsu64bZMJKK3xD5B0yCyjfhxuv4dsUBRrHcWBaFhYLSzh5Yhw1u4ZqpYq5zJwrnxBjAuiPdlsYAQOqUt9BNHa4iMlTJmqWynYK1Go1TC9O4/yhC5Hq6UClbOFY/hksHJvA/PhE/Vj1pSWUigVMzU3iXe97FcqVKr7y5R/6loHnGG2H17uZt1uVdptpwuJL3wrB0XG79Cf6lyirH794rhYy64jbQuul6TSzmoj9uJWj78VikQU78cGEMmuNaGmg50YCVCQSYURPkr7jLPsJAaBcLiObzWJ+fh6JRAKZTAZTU1MYHh5GLBZb3q98OrCws7MTXV1dDVYcH+cWZLxD1EDdNH1xwWtVmJdZC/jxFItF1gb5vPlyuq7jsssvY4IHnzTIzermdr8Z75DVEenVzbrAPwc+OZDIo0XeV7NrODRxBJVqZUVKaJF3yAIxid+Wy2U4joM16TUIBesZX0OhKMqlGotLIiErn8/j6KEjGHvmCErVIhZ/eQjjv3wWOy/Yia7uLqbMFIoFBDQVvb0dWLd+0E9n/hxj1TEDbhKuTIJ1W+DdFoVWhAy+Dd5nTgQr1hWDgfizwb0Yits8ZZqDVxt81LTX/GXPVjwsScYwALBUp6ZpurbLj0GMaKYyi4uLTIOndKZU1jAMlua4XC6zVMTEJPv6+lCr1TAxMQHHcTA9PY177rkH69atw9LSUtNDa3y8/CBb5AniosWXlS1ozXiHWxt8XR5itk+Rdmq1GmamZxquNaMz2Vhkc25lTorSeOqoG8+hz/xuKV6Tl/VB9x3HQVQ3kApHMLG0uGIMVJ+eVYNwoi7zElVVsW9yX8PR7Lqus/vxaBxaUEM0FsXRg0eQ78nBCahYTChwIhpG1o/Asiw8u/dZOI6Dw4fG8PW/+wkuvGgrpiYW0dHR0ZJlxcfqsKpTC91eZJnUKNYRTVVecLMaeJWRlRf7ooWOEuLw0nIrL1uzBZ0fm5cW0UyYos9i9LDYFi3WiqKweAFiVOLxxcQA6K9WqyEUCjGNn5gPAMRiMaiqyrb4qKqKjo6OelSwqmLt2rXYvHkznnnmGczOzsI0TVa3Wq2ydkOhEAsCmp6exjPPPOMT9CrxUnxuZJXzWgRb4R0ivGhVvO52+qiboCBTSBzHYZYt2lEjbultlXc0sx7Ixi4rJ7Mg8kKUF+9QFIWdWBoMBBCPRDG6YQMOHTqEcqUCw4igWi3BcewGvhFKJBAMhVBcyCC5I43cvixgL594qCgKuvuHEdCCmJ8+xa6vG1qLfDEPVQ/gvAvPx9pd6/Hsfz+DsaVZVGeXEFLqsQWVSgXRaBSFQgGJRIKdiXLo0CH813/910uSBl4MaPbczig3bDOpWyT8Zqb/ZoP1Mgu6LbZu2gCl6pWZ3JuhmSQvI3SqQ0E2zdrm2xO/i2VY9O5pzT8ajSKRSAAAQqGQNLc6nw6Zj6/gy5XLZWZGJfdDV1cXEyCuvvpqrF27FpqmoVwus3gDeq7kuuCtMF1dXX7cwDkIGZ2thnfw5WXXZCCaEem2mTIitk3aLiXlchtXs7a85iYz7dN9Xdcb3J18GVlbImQCGSUfswEUqhUMJ/qwtXc9FAXo6hpmaYf5uqqiwLFtwAYKh3JwasvPh2g9Oz+L+ZmJhi3LW3Zug+lYSMQS+LXbfhUbtm+EETFQPTUPM19iSoxlWVhcXGRjI4vN6OioH0T4HOKMtxa6mdBbbacVl0CzMXj16WXmp7O6V5seV6aluzE2frsepfKkwCWZFuTlHpH1yZ9GuLi4yIiSDlqR/WayQChm0ovHmUWA7+/kyZOoVCoIhUIYGxtDLpfD0tISa4+CDXkGWi6XUS6XEY/HEYvFWKCij3MHMougzG3mxTvctHqqy392a5MXDJpZFrysGGT1EufgVl82D9E1IpsPn/mTBO1EKILs6XMDZIKBbDzEd8R7RO/0/2cP/Re00/xifHw/CxjmfzOrVIK5tARFUVArLytUFHMxONCH2bn5hhMabdvGww8/hFwuh0g4grEnn8D8/DSqS2V2P5fLNfw+mqYhl8shn8+jq6sLnZ2dMAxD6p7xceY4q2KWjMC8THzN2pGZzGUveTNrgShtE8QdB17wIm5ZGTFGgPxtpD2nUinMzCyn3GzVZeCmFYgEy3/n/aLUF59RjdfeifiJ2fGpVMkCEAgEUCgUcP/99zNNiT+HQLREWJbF3Ey+EHBuwm1h5dHMKtbsGm8x8FIyWqF5flEVF1gScGX8zkuwaSYcMM2b4x08LVcqFQQDGtb3D+LJ44ekcxf5hEwIE8HzB9MyYdUs1katVoMR0lGtLPOLSqXCFAw+NTKlHe/uTKNYLKFYKrP5hEIhLGYXEQwGsZhdxN/c8U+omRZKp/kQ7ergzzIgPkUBzX4a8+cWq3YTeBElEU87mr5b22dC2DKzGV+fFi23evyfW1/NNAuZxmDbNjKZzIqy4l+r4Ovout6w8POEyi/4Xv0qioJMJtNgCiXCdJx6kqFkMol8Ps+Yojge/rkFAgF2qEk0GvW3CJ1jkJnCebgJ7a0u2s2ut6qhixAj74mWFEWR7oppxWLK85JWyogwaxb2Toyt6Icfm5d1UbymqgoCgTqf6O8ZZgmIKF9JIBBA71BvwwmnfL+02GuaBsOo8569zx7CUi7fYHEolUqwbRsXXHgBent7MZuZR7ZQaMh6SvOg9qk/ihno6OjwdxQ8h1i1MCBb5MQX3Ovlb9Uc6CZ5twLZosq/xG6CgBdkgoKMgN2Ine7xW3ialRfHJY67Toh1zZvPD84zM377JREpfxxqOBxGOBxGKpVipwuGw+EGFwMxiQ0bNrD0w3xOAr4/OtqU6tGBJpRe1Me5g2aLpkhDYnlxq6wX3XjRoRsNuS2+XoK5aC3wWti9eIXsumzrM0+7YoyPbA5eQhUvLCQSYfT3pQAA0WgCQd1gFgHS/E8eOcXom64HAgGEo2GoqorBoWEMDA5g69a16OtJwTAMxBKd0IIhZtWo1WowDAOXv+IydPd0M76znIhoeUeYYRgIns6C6DgOHNtGoVBAqVRqCGT3cXZx1g6Xb2a+o8WHv9eqVi9jJl6as5tLQWybztsW+2sXbkQuK9cuZAyJ1wYANJwQWKlUGmIBREYqPjfDMBrGGw6H0dHRwbYFiae1VSoVPPjggzh16hQzZ/JSfSgUQigUatizrKoquru7oaoqwuGwL92fgxCtRbL7wDLtiN9lx2/zcFMY3HiHbBzNFAQ+hwcFzLot7q0+h2ZKhVv9VuCmDPHPM5stYXJqEQBw+NgzKJ2OReDpl/0mHP9WNRUDowPsRMdazYZWW8DGkTgqlQp0IwYjHGOKgqIoKBaL+MY/fBN7nt7DhADazRUIBBCPxxGNRmGaJovH0DQNW9aOIBjUkEwmmRLi4+zjjIUBN5Mf/533gxGaEQxfTkYgoqAgWyzd7vFH956JECBDK0KBG1pxDbTq1uCfQWdnJ0KhEJLJJIaGhlgb9mmJGwBKpRKKxSLm5uZYLMPi4iJKpdKKudi2jauuugo9PT2sD/L1GYbBthHSvUAggMnJSXaCodduCh8vX7jxBhl4uqHAuVbab5d3eLkmRP7hOA6Lrm9G516KiBedu9GxW5vieGXCAu9CkNW37cazB2iMgUAAuy64AD3d3ejdthHbbrkeKm0dLldx5JkjAIBjR49gYnwcU7MBTM/VDxWanz2O3GI9PwN/MFOtVsPbbn4X1g6vZ2Mj90IkEmlIfU6p0fccPIxisYRAIODnKXkOccbCgIwIWlkMmxEElfFiGPTiywhA5jPkx9XuMcbNxt+KKVS87lVfvObl8hDrUFrVQCCAWCyGjo4OZgmhhV4WJ0AaD2UNFN0NfJlKpcICezRNw7Zt26BpGrLZLBYXF9HV1YVdu3YBAAv8SSQSMAzDtwyc42hGCzz4995N4xcXQX4Rb8Y7ZO3y9chNxvMZ8UQ/2Zjc5uHlzyd4CQRiW7L2ms0bWOmKoD50Xcfg0BB0XceGTeux87wdME0T5dl5jP3iCdingw15YZ/aOz5+CmPjp1isAc+fqQ/afRSPJqAoCoJ6ENe+8nzouobp6WlMTU1hoLcX119+ORynvj3Zdhwke5IwIgbbMu3j7OOMMhCKcCMwfvHhr7m11cykKLbhBd6nLZoeVwsvU6LbfSojEoibUCETsvg6svGTxhIMBtHX14eFhQUkEgmYpsmeP23L4cch/i50CJFpmizSmI8dsG0bjz32WIMfcd++fSwLmeM4mJ+fZzsWgsEgtm7dimQyicXFRSSTybbMnT5eXuDf8WbWMC/e4UYrbtf4/mU0yC/6wMozTwCw911six9rK/Pygptpv5llRab0iPfdxkb0nUqmcNuv3I5//dH3Mdw9hMJifTEOWDYKuRyAZT6jKAp0w0DttKm/VqvBtEz07NiA3NgkqsUysxryY/rpL/6Vbem2TAsP3LcHpmkx6/H03BwqlQrUgIpwKIwrr7gWen8Ahbk8+gf6fd7xHGFVwkCzxdCr3Grb8oKbVYAkWH6Ln5uk7TZ+L2FF7M+t3XYYhoz5yeBVl/x96XS64VTBarWKSqXCFm1K8kFZyHgmR8TKJxwRQVuJKKiJTwhSKpVQLpcxPDyMhYUFHDlyBJFIxI8ZOMchW7wIbotXO2ilfDNrItEfHaxDZXlztwxuWjrfn9fhSmJbvHAtzq0V3iE7S6CZolIuVbAwsYhdF16Iga4kLFXDJVftQrFUxOO/+CVrNxgMolKpYHhkHeYzs1iczwBQ4DhAOZuDWV3mB6IiBgCGEYWCMmy7hkKh2OBaXFpaQr5QwOYrL8DcgZN4/ImHkUqm0NndiZ7eLs/n5mP1aFkYaJcw25WMW5GmZYuwzMTHQ5Ti3SJ13cbOt+llzZDBjei9tHw3om02bwKdHpbL5RAMBqHrOjKZzAohhBKEAPVMgzwDVBSFpRzmo30pQLBSqcCyLCSTSQD1xEZ8hDNvRp2cnGQuB2qHLBW+dH9uQGYx9KIfL42/nfdGtEB4KQGkOPDXeCsaCdkyix3fVzPtXVZGnCvPN2Tnh/DjdeN/bs/Xi3eEw2Hkizk88ezDiIRDMAJDuP/hx2HVLAS4I8z5nVCHD+xjYwlFOqEqDpZOTNcTDhkGy/Ya1DQMdfViciGDcrmMvs7NQNhCrjSGcrnM5knP2LJMHH18H/SAhoCiwoGDcqmMuZl5n3c8RzgrSYeaacRehC/e5192N8KTfW/F9NiKNO51rRWibqVNfiytnIIGLJ8x0IwQiIHlcjkEAgGWB4AWfrfn6+bCoG2AtIADywmVKPiQLAi8oEXaA/VLux3ELYg+zi3IaJ0+ewkBzeqIfYiCuJcrQdavSB9ux4LL3A38fdl/WVnReunFz3grBQkAsudAwgJZAN0UEALximeffRa6ruPosbG66V9IvUzKhPjcamYOira8ZZAsgKVSPfjPgQNFrQtVudJJAE5d0DjN2/j2I4YBq1KFpYNlNSWLZ7uKpo/W0HIAoZeJyk2LlZm3vNpuRrytjs+N8FtZhLyIi+7LyvMJflp9WZvNmx+Lm7VCbI/fKknpgWm7odvRxvy8iCjFLTyUmZDcDHRsKS/VUzky9yWTSUSjUWnWQZ+gz024LYjNFAave/wfX341PERsiywCbrsZZHTZKg/geQe/7172XGSKkOi6EMfN5xyRjZcHHwvhOA6zLhYKBRY71Ix3WFYVUIDN5++EpmlIJdIA6tZK07IwnpllbsVCcR7F0iLjDfwzUBwHO4MGhoI6KpVKw5xoXj7OPlp+qvxLJIvEd5PQV8P026knEiBfl6Tiri65n6kZ8YoRs9RmMxOn23hk4AlM/EwvPpnuZYTdTDDjEwzJ6qiqyrIWRiIRZgkoFAqsXCgUQiqVamAwvCWA1/Z5wl1aWmJbE+kezccn6HML9C6JvMPNUiBCtuC59dOKJi5q1fzCSZpzOBTGtedf6aoA8J/dyjTjFbJromLh1j7vSnATBij5l5inwU3o4EHCAQUXiuMIBAKIxeP17IVdfYhH4rBrNRzeuw96UIeuG0jGExgeHISiKGyrIAlYJICIsRhKIIBjlTJmqhU2T8pFQLukfJx9rNoy0MpiLVvgZO21Cjdt2EtirdVqyGazrlYBL9eDG7Hx38XMXKIU24xp8P2IcyFCkc3frS2eSYhzkTHTaDSK8847D7FYDIODg+jt7W1IJlQul9k9CqgS/Zh84KCiKBgaGmIuglAohFgs1vCsQqGQLwycQxDpgq4ReBppttjL2hbbkd1rNjZxfIpS33mz99izLec4EMcg8gfxj0XUS45R5xdsGe8Q58YnRKJ4IDcXpIwvkaAuPn9e0BddfD19/XjXBz6CoeFhvOaSV+GVu65DIhGHaZrI5XM4cuwQenu6sX3rNhiG0TAmEg4o54jjOIAK9G8ZgBEysAAHkc4keno72POzLAvRaNTnHc8RnvPzIN2EhmbasteiKTIU2YsNLGv2bgdcyKRdaqeZ8EJlZATK9+/GoGT1ZXPiCZyvJxuH2/MQxy/2nc/nMTIygtnZWZTLZei63pCdcXx8HBMTEw11KDsYsHwMKlA3Cfb29iIajeLYsWOwLIsJEaZpwjCMloVJHy8PyN5Zr7Lt1POy2nkJHgSZxYwtjHAwPT/jKlS4WSEArLCUySDjL9QOH3Qra8ONd1Cgr6h9U5sy5cLNQsBr5XSdxqSqKhy7htmZabz+5tfgqceexlIuj3Ub1iHzyONMcPjl7t14as+eFTERoVCIuSOIjySTSVx80cVYTGXwxNNPolyuAqjPg1ydMp7q4+zgrO4maKUMoZm5vZ0+eSFAJDCv5EJu/bdLyG73+Xzb/BhlC7uX1G9yJ3sFg8EG0ztfV/a8eBcBLdh8IpVisYhDhw41pBAWx8OnG+bHK84PqAsGp06dYpYBIvhIJIJKpYJYLMYEAh/nBrzebS+4LYJim/x3XsBvtS9aJMXy4vkhsv7Ez624Mrzao3q0kNPix+/G4eElFABgJwzquo5QKMSOG3cbu9gO8Q5asOnMANu2MTc7i3+54x/R2dmBYrFUV7qONrZJVhA+TwlZXfi5AYBl1pCfymFhYQGmaaJSqaBcqiCRSKBQKKCjo8O3DDyHaFkYaPXlFl9q/mXlP3tpAF5lZSY98TNQJ3DR/CYbp5tm3i4xy7Ryfrz8oinb/yubPw8y/ZHvTBRYvJgkaeYA2DHDdI8YDkXsemlWhmGwlMLUFgB0dnZicXGRtTczM9PwHAKBANMAeMHCx7mBVmjKjQ7oHk9HMiuXqATItHY3dwB/Uh6wvD3XbQcB/1nkTe3slOHn4ib4iMeLE+3LLIJ8PWDlQWW1Wq1hh4/Yr4yHGIbBdiIEAgFUKhX2zIinZDLzDYID/0xprPF4HPl8HqoagKIsx0H19g4hk5mCqqrI53L4+c9/DlWp16XYiWKxiFAoxKwNvFvSx9nD88KRvSR8t/t0XUbssnqiwCH621sZY7OFVexLrNdMyhYP9SGiceuH1zJ4K0ckEpEm7nFbyEnD8YqKFsek63qDBYMEhmAwiGQyiVQqxawVF110EcLh8Iq58M+ACJu0BD8I6NxBK/Qr+y67LtJoO3XcyvHCgKqqME3T0yoArHQreMX3ePXd7B7PN2gRJxcCBeKKYxHr8TFNqVQKiURihaAkWjAJFM1vmuaK/CCKoiBs6A1jovMDeOVDVVUsLS0hFA6jY92F6Nh0BdSggWAwhPUbbkU8nlreTYDGBE/UtqIosEwTYV33hYHnCG3tJmjHtCuTzFdjGvYy+/Ht8i8P//K3M5dWzXteDKiZIMEvyjLTpjhOUSCo1WooFAowDIMRhddvw19nW3dOS/nESCKRCNLpNBSlfnwon8JYFokciURw5ZVXIpVKIRAIYHFxEel0Gh0dHewc9Gg0inA4DGDZVEhWjVAo5LsJziHINGi6LpaTXZeVaXZNpEU3iwMt/nzSGzdBQLSIifOR9X0m4Bd2WiBJUBFTJXvxGxIITNPE/Px8w66hZryD7tUFDwUBtX7QmKqq0AIBXLRlI87vH0FAVdHT042rr7mKWQ/IrUlQ1QASqW7cct56DKRT0DQVHT1zGBoawvDwCDu6OJ1Os91LJARZloVkJIR1Xb3QAr4w8FxgVbsJ2oGb+c+NEXj13coC4iY4yPpp1p7MH9dK/62AFnZAngOdyvCf6c+yLOZXExmPG3F3dHSwEwUHT2/1oXaLxSJzQVQqFZZ8hMYWDoehn5bIq9UqFhcXWdbCWq2GJ598Etu3b8fGjRsBALFYjAkKtJ0IqAtplBkxFou1/Ex9vPzgRZ+taMxUlv/vZinkv7v1CSzToYxXuSk2Z2PRl41F7JsfAy3sMvdjMytjtVrF+Pg40/h5659sngCw84Lt6OhMIxkN44ptw+yeaVl46Ol9KJfKqFk1LCwsYnJyskGjXzPUh3QqiVAohFKxgIXDD8GZOQDVsWBZJu7+2b9h14XX4/ydV0BR6iesDgwMMEuBruts7CenZmEW+9CV6j+rz9xHHW0FEPL/2yWCVhdyN2neS3vmx7MaqfxsSPKrtXrwQUJ0zYsh8vPkBR+RkMVnR+evW5aFqamphpgD27aZz19VVZRKJWYVIGEBqBN3Op1GoVDAvffei0gkgg0bNkBRFDz55JOoVCrQNA1XXXUVDh48iEwmg1AoBE3TWLbCQCCArq6uBo3Bx7mBZjTCv8uAOy3IaF4U8mX045aAx23rXDPwAjo/HtmYWkEzQYgvQ8oEnzJc9rz4z3zAr4yfEv3zz8C2bczNZFAuV1DIFfDYQROWtZycyLQsPDM3XlcMSjae3bef5TfQgzpOTUzDrtkIaBp6B4eRW5zHd37xGFKpNC686FLEdQ0P/OLfUCyVoOtB3Hrjeuzen60flhYPI6gHkVvIA6j/fklNg+7HGz0nOOtPdbXmX3FBbuZjVJTlVLkyDbrVsTUjvlaIs1m/zdrnzxCX/YljaeamkN0vFossVTH9pz5JGKGgHl7TIP8itTk8PIxYLAZVVdHb24trrrkG4XAYuVwO5XIZ0WgU09PTWFxcBFA/trirq4v1EQwGsbi4eNY1Kh8vLbSqHLRyrRnvEBUFcoeJZUVftdifTCHycg2eiTXVzcInzoXnHbK8BLKxyngEzV3MlwIAE+OTyC3lAEVBqVJl5UlhAMBcB2qgLpyEjBCue8W1CKgarNNCy7otO5Dq6KpbDNasxU2vuw2JWALz83PI55eQTqcxPlPF1MwcACDRHUNqOLLch6FjqnwKdqB53gcf7UNxWnxj+YA1ryqtSLdnCnrBg8Fgg1RPPiaZdO/mHmh3EZeZH2X1WxWK+HK8b95r4eeZkhvx07gogl9mSSBNiY8CplMFc7kcHMdhcQYAmMlO0zRYlsXM/dVqlVk4yD2wsLAATdNgGAY6OjowMTEBoC4cxGIxPPXUUzh58mRLz8jHMl6KQhQlnSJ4afxuC7loNVwtqG4oFGJ57il+R0zZLfbF05iX4M3P8UzRinuDF+SBlUnSRH5Bn3nhgczy/G8TM+IoWyXYju1al+cPGy7cjo6+Hjx938OwazWEjBBsp86Laf0IBoMwTRPhcBipVBqlUpHFEvX19UHXdUxOTkLXdYTDYWzqW4dfHnoaUIC+vj6kUin8+Mc/xt69e8/42Z5raMY7zsgysBpN+2yA+qCc2bJ98G51zpRAZQzAS5L3gsj8mgkx/Bj4+7xfnszyJKmT3140vfJ989c0TYOmaQgEAmxPMS3ypDlQWWIesViMbV/kUxCbpol8Po/x8XH23Do7O5ll4WwwSx8vLbgttPw9nlbFRehs9V8ulxsCeTVNa6oYNNP8vebWapv8tVbv8RYCXvCX7e4Rx5hIxDE81A9VVbHroi3oSCcRDocRCASQMJII6eFl94pyWhDQA1ACy4IH9ZXs7kDnYC8MQ69vSbRMJOIxvPLqqxAMag1Jg+q8w0ZnZyd0XUe1WsXs7CxTQkqlEjKZDJ44uBsO6uNet20Hurq7/d0EzxHaFgbc/HfiZ69rZwuiCUx2II6sLGG1pn2vxX81QgEPN41D1i4v+RORUcpPOoKY3yZFZnpRgOCzHObz+fo2oNMR/2QJCIVCLIiQji92HAeVSgWVSj0xSDgcZu2QQMGbERWlfl5BJBJhOw18nHtoxifEz83cY6sBvw/etm1Uq9W2BAEe7Y5LJuSI9O3Wn5ey46ZM8FZAnr/Yto1UMo7u7k4AwLGxCSzl8iiXy9A0DVP5CRTKhbrmrmvo2jJQtx72hhHqqtMvn2r56Z8/god+fC8CIyNQT59EaBghDI8OY3RkDTq7OlCtVjEw0Fc/rKhQQKFQQE9PD5LJZEOWUlJKHDiMF02eGENCiSMZTTyn68q5iraFATeptd2X92yA9rZ79S+i1XG71XVjZK2cWNisL5nPkq/nJhBYlsWYGe0K4JMU8cRP26gomFBsm+5VKhUWW2BZFgsiJHMflSVBgWIIuru7WVyBbdvMQkGMqlwuY/v27Vi7dq3ns/Dx8kEzHuDFO0RNVmaiX41FLpHsRMBji5oXrcvG1cocZQu+qqrQgsuxOjKLWSsWEqJv0UXQbD4nT03iqd376oGCc4swTYul/623dZqXVEzMH5muKwwncyhOLx9kRtuUq+UK8vMLKM/MoFQqQQtoWMhm8fjEUVScGpLJZN2CEA8CqJ9REj990NHGjRuxdu1a7Ny5E+l0Go7jIBqNIhgMsl1Xi5kMdqXOw4WDF3g+ax+rw6rsLW4LqhtBtEIs7ZSjsuFwuEGipwWqlXGvNlZA/E9+dV1vPG6T/vOpTlvxh/LXZWPmy3uZLcUyPDMghsPHV9A8yO1C1oN0Oo1wOMyOKwbA8oqTlaBSqTDBQ1EUZLNZdiYBuW74DIQHDx7EzMxMy8/ex8sHzXiHSAteVgTeMtYO71ADKroG+1A8lINqy4PRZLTjZaVopgTwbfHR/3pIR++6TkwcnIFdW6ZHRVEQjiRRLuVg2zUpjxDbEsclCk+ycZIQIc6V3IP887XKJoLBIMtiWnNqDUqBbduwLQvBYgmRWAI333gzCuUclhaX8OypaUCtZyJcyJoIBg1UKhUUi0WWHVFVVUxPT6NSqUDXdQQCAZTLZZimyZKgPV3Yh7Gl401+YR+rwRmlIz7bppp2rQi5XG7FNRlT8JLwZZAtpPSftFzex0jaNC2OPCFpmsY0bJqj1yIujs2tvJuQIJs3jZvSCVNioEqlwubDpzgmoYBOfKScArTga5qGyy+/HACwf/9+zM3NIRAIoFAooFarsaQhlmUhFothamoK1WoVuq4jGAxicnKSbTX08fKH1/spCgH0breqPIjtt1RPVZAtTENBe26B1Vg5eYsh0RWf39+qWpg9tgA9qKPqVBvoPhJLwawW4TiNp4Tyn3nlh+c7MsVD5Cv883abO407Go2iVCohHA7BMAwsLeXYfPg048TvyuUy7vvve2GEDNhWDYViEVCAdUOduPFX3ohCoYrHH3ocJ48fRywWw+LiIkzTxPDwMAYGBlApFpAOGzg6OYNiuYxIJALDMHB46ggWSott/w4+mqNty4AbkfALj5sG3Gr7rZQnkzhpn14ZB93qt3OPN6MritKQM5xPVsJL00A9J7jYTqtja4Ux8oxQZkbkBRuZBsWnLCXBwHEcFlhFaUhpKxbN27ZtbN68GUtLSywYiwSGbDYL0zRx1VVX4YILLsA999yDAwcOsGRGJPX7ODfQzA3Av6Ot8A6ZMOzGf2TfraqF+RMZdngPn8CnlbG7LbRudflTBIlG+EPDKAUvCeTEz+ZnT0jn4AZRoOLH6vZs6Y8XWsT6fCByNKxjqL8De3L5Bt7B0zNlL52amYLj1AOMa3bd4hgJBWEAWLvjfCwuFlDM59mhRZVKBRMTEyiVSrj10vNw5Za1+NdHnsYjh08gn8/Xcw9EIn4A4XOEtp6qG1HLtNTVot0FnQiLP7yjVbQjePCEDQDRaBSKojDXALVF17PZrNT/fyZo9vxlTIn3QRIR0XGg/C4M3j1A0j7PGPjDjQqFAh555BE88sgjqFarMAyD/RZkJSEBgXZ8VCoVBINBFnPAW0t8vLwhvpc83fE7gNqlfVH4dRMcZKCgQTI/y1wA4sLo1peXsMP/J2viaF8XtICCU5lcgxBeP/o7hsOHDzHLAQ83q6fbHHkloBlkQkM9CFiD49gIR8LQghoyC1ksZPMwzTo/oCBlUhLomfKCDblyA4EAHt87hhMzdwKo5z6JRqNwHIfFKFSrVeRyOSiKCttRYNn1pGfhcBjRaBSA+5H0Ps4MbQUQNiNWilR/PsAffEMLS7snhvH/vT4DK5kP5d2mF5/GUiwW2TUiRLd0w62gVWGF/osmwmAwiO3btyMUCiESiWBgYABAYzYyEfxYY7EYkslkA5Po7e2FruvI5/PQNA2xWIz5EiORCGPwjz76KP793/8dJ0+eRCgUQjQaZfu7fZzbEBdV/rwKL/cd/fdyiXmBXHfk0qM4GLcDvLwEcK++eJqnRZG0bCNkQA2G2BkB5INfWFhALBaFrgcZ/+D5SDN65Wm/VQHLy20QCkVw3Q3vRCLRgYE1g3jFtVfAth2YprXC0ihaGFRVRWJkCIld24GQzhSjgfUbEYxGkclkYBgGOjs72ZkEqVSK5Y758WO78e2H92D/VAbRaBTJZBLxeLwhLsvH2cWq7C1uPutWFuN2tPdWTeTAsnYrMwu6jdurPRmIqAEgn8+zSPl0Oo1yuczMZbVaDV1dXZifn0cqlWJ779u1XLQDt7nVajVMTEygWq1ibm4O8/PznmMgQYfmSUmIarUayuUyW/BpvlTniiuuwOzsLCYnJ5mbYGFhoUHij8ViSKfTbad99fHSh8x0zd9rti24nUUNwIq0urKyNB4+Xoa/7lVX/NysD96UfuTUNKLRKNRAAB1D66CrFYwfOwFVVZFbWsD52zdhz7NHMNTVjenMHBbz+YaFXrb4e42dtxCIbcjGSjDNKg7ufxiFwhL2/PJpPPv0vgaBQRTOFEVBIh2CVanzDn3zKIJrB+FULVQPjkFVVUTjcVQK+eXfSVHxumt/BVMLp3Bi4hgmJyfr7oLJKRSKJWZVTKfT7DTEVtynPtrHGTtf+B+EpOtmpqt225a1x5/6R6Ztr/JnA7yrIBKJMPNYLBZDqVRCb28vZmdnmcZBAXT0fTVjakeYkcGyLGQyGfadf240F7EfXdcxPDyM6elptueYjia1bRszMzNMoyqVSjAMA6Ojo4jFYjhx4kRDXgMqR5oYWQ7IneIT9LkLflE527yDd4GJQgFvBVAUpSFmwCseoBU/vGzMfEyRETIwvGYQk+PTsG0Hka4BVGbHsHXDLhweexq5fAmLi0uoVqvoTCZRtUxkTwfbtrLwi/ebCS9ebZhmFSeO72twFfILPyUdW7YGKEh1hjGqbsORzDGUx8YRSMZglE1ETictmzl2hAUPZ7NZhI0oRvo2IBwK48CRfczVGAgEkM/n2VHNlUqFHZueTCY95+1jdWhbGHDz/4nSqhuhiNJpO2Zwvg1+LIqyckshb75qhWhk/bjdJ784UNcqKFq+t7cXw8PDWFpaYj602dlZFAqFhjbEiF/+GcqYET+GM4HbsxCvVyoVDA8PQ9d1HDx4EAAQiUQQiUQAgBEsCTyZTAbf+MY3oOs6isV6elHDMBpOZaTnlc1msWnTJsTj8TOej4+XFmQLq3if7rW68LVizRPbIX5BrkY+fsWNJ4nWRq/vsnETP6hZNvK5+sE7SS2A/P7HsVAqY+2uDdg1cDVOHN6PpaUlqIEA9k/NILcwJz2IqBUeKgoCMsXCzVLAJymS1efLLvNFYGIsh1ddvBFaIIiHxx5FcCGPdDKJ1NAQgOVYoWy2fhjRxNQp/MU//BGi0SiyS4uwbRvhcJjxC+IdiqJgamoKV155Jfbs2XNW+KGPRrQcM+DlswKa79uXLbitlHfriy/XqglRZESyMYlzlJnTgsEgKpUKqtUqu69pGiYnJ3Hq1CkAYLn7X/nKV6K3t5fVl5nXvPx7zXyT4ti8wPvz6L/seWiahmeffRZHjhyB4ziIRCLo7e1lwX/kc6UgQ1VVUS6XkcvlWPAhmUQNw0B3dzc7sjiXy2F2dhaRSMQn6HMEMt4h81WLdXjIyrVCL83eMT7PRiv8iLcOuo3Djb+oahDx8GbMTGdQLpcRVxSkFAWGoWPv/kfxy0ceRDweR61WQygUxjt+8yNYv3UTHGc5F4CY3Gy11sZmwhh9p7Iy3iEKd4qiIBIx8Mv8Q3hi/Ek4toNUIoGR9RsRitTpn+KsKEZEVVUUSwXMzs2wfAJ0AF0kEsHgyCAS6QQAYG5uDsePH0cqlfJ5x3OAsxJAKFvgmoFnECLxemkPdL0VjdmNCTUjXi/Ytt0QjU/mf0o8RPcJuVwO0WiUnf5HY3CbsziOZkyKh1tZcesjT9QU/MgzOdL26QCipaUlbNmyBRs3bmRt0hkI0WiUZRuksZMPNpVKIRQKYXh4GFdffTVCoRACgQA74dDHuQnZu99M2eDLen0X74mCPrDMx/gzO7zakQkgMv7TTFmyrAoy2T0wzSosy8LRQgGTtg0tGEQkEoF1en++oqpQVKCUn0Fvbw+GhgY9FZd2FkYv7V7kHzx/AMC2F9K1YDDYcPZJXSmo4uiJcZTKJdi2jUwmg+FtF2PttgsZn6HAyXQ6jc7OzoZgZoq56u/vRzwex+C6flz+uotZNsKZmRlpfhkfZ462Ti3kTUteJqeGDlxePr6dZclZXUF4Mm2Cr0MvZqtb1Xji99LIvcZP1wOBAAzDgK7rGBoaYodtFAqFhv23119/PYLBIO666y5m/pIt3KK7xW0Mbt955iAeZyqW58uJkc8A2N5iKtPR0YFkMsksIpQ/IRgMolQqsWRE1JamaRgYGGhIe8xnI8zlcnjyySddo7h9yLEaTfCFBm0JI7jxinZcYiLvEIMA3crz/VDyLQqGlVkjaDwyoaEVa4JsLopSPyMkGo0iHA5j12WXY6Bm4bE9e7B/epol/AoGg/j//uenoQd1fOazn0XltCVSzGja7J3gx8BbNPgx8vyAtiATjxOfA10n3suf80B90C6JQCCA/oEh9Pf3oVjIo1gsMkWgnrxo6bQlJMTa0nUdW7durR90VsqjhhqiwShTtGZmZvDjH//Y357cJpq9J2c1e4Ob5utWTvwvS93rxjRETdatn2aLqpcgI6snCisULEe7C8jMVyqV2A6HRx55BIqyHCRFVgRaRGX9iMKKTPiSaS3N5sLPgdog/ynPvIjQ6fcoFAooFouCj9Bu2HlgWRZrJxgMIp/Ps8OPSECgOrLfw8e5gWb+df6zzIonutuA+sJOtMib/qmOWI8WNLLseVnmmvXdTAmS8SFa2GzbRmlyAhs6O5AaWYPZchlzi4sA6v71r37t/9U/n+ZxuhFEPB1GZioLy6qt6Es2HlEQ8hJ6iL55ayLfh2weJETQNf48Etu2sZRdQD6XZd+JF5JlQVHq+Vros2EYmJubQ61WQyaTqe+yMOouSF3XVzxrH2cHbbkJZNLx2YSYCUyUWmWLeTuJfWTmvlaEFvEaTxh08E+5XGYnBSYSCaRSKUZYuVwOS0tLjEnpus6O8m3lWbpZAlphqm73+TbEgEaesMlsR4yLcknwggAJAbxVAKgnFcnn80y7sCwL4XC4JYHFx7kB2cJF/70EAbEuLeq85ivyDfE/v02t2eLuNs5mkPEymhu5GycXF7FnaQkHKlV0dHejv7+f8bWJiQlMTEwwRSLVHcHOq4cxvKl7xaFGq+UHXnOVPUPeisgv+sQv6DoJaJQ9kLT/+mmG9ZMJiWfSXOh002w2i0wmw/IOmKaJeDy+4h3wcfbQsjAg8ym5oZUX1E2a5iX7Vurw10jjdhvLmYD3rfMmNZ6xUJQ9ZeTjmZZIYOSPdzMleo1dZr7ky/PXKMiPwEcJ07MmpkjMlMyUZOJ3HGeFJE+LO7kA+AyFVJdnGtR2Pl+PpCahwMfLH168Qybougm/fHuydug9FRUIWf8k0FJ7oVAcyWSv51hkwonXeOk/TzfEN3hffKlaxe6lHMZKJUSi0YZ8Jvy4FUWB7oRQW1JgVmor+pfRvxdvkd3jzf7hcJgJ8qKgRXyDYqdIOaAj0yuVCnO/WJbFjj8n/lCtVlGpVBgvpPHQPZ7PEC/NZDJwHAeJRGKFu8PHmaNty4Cbtux2rd2FTuxHfLG9CJTXSt36cmMkbgur+NktiphO3wqHw+jp6WEBdrK2y+UyS8gjts9jNdqz4zgsKyAAxONxGIbRNAsiLxjQd54QgXpOAYoZIFAd0gTIWpBOp3H99dcjHA6ztul0MhIkfJwb8NIu3crzn9tx4XnxKC+hQtN0xOPdUn4jK9/KQiyOn3bYkNBC411cXEShUEBnVwd2XrB9Bc3ySsXszAL2PngCc+M5aX/iON2EMLdr8VgcmzdtheM42Lp9C7q6OldkQZS1T/TNX+MFiFwuh0Kh0BA4TIKEpmkwDIMpCENDw3jnO9+PRCLJFA5Kb+44zorzXnycHbQVMyASA11r9kKuFs0YgQjLss5KQJqMaYh+SPpMki0tbhQ3wPvSxXbFDHwyIpONo9l1Gg+f5CibzUrLyerx7VKAEL9oU+pnXdcxMjKCSqWCyclJOM7y8cf0OZvN4t5772VJi0hAoVwEPkGfW5D53t0gnsRHdfj/sjZ5ePUh41m53Bzy+Yyra0LWh+hrdxM4aD7ivBRFQbFYZEJCNBbFxZftQk9nHyYnplAqlVb0U65WUDEbj20X5+o25lYsccVSEePjJwEATz+1p6F/mWAhcy0SvfNuXzq8KBwOY8PwBiS7k3js8ceY8mJZFjvmfGJiHN/61t9jaSnLlKpEKISQpiF/2iXr4+xjVbYWN6JodTFbMQhOAnZbQN0gnn7XivDgZa6kMbSqxWiaxvxclUoF2WwWc3Nz7CQuIg4+d79Mum5lrs3mwQsb/HkNPBGLQoibYCBz15BGk0wmceutt7IdJqlUChdeeCE0TWPSvmVZKBaLMAwDr3rVq/CGN7wB0WiUHUxCh5f4OHfgplnKIMuMyYPeUy/e0QxuvKOZpU7mcqA6vJmdn4esXcMwGD8oFAqYnJjEs8/sB2wNQU0/HX8Ux0hPF4xgEOd3bUBI0z2FJdmYxLIi+LKmaSK7lGXWOz4mi98+LJrw6b6iyHc7EE/oSHbgTde+EflMPY6gt6cPV1/1Guh6iPGOSqWChYV5RCIRvP+978Gvf/CDSKdS6Egm4Tj1g4v8XUhnH2fkeGm2+LfK7MUgwGZmff6el7m5Wf8yopaNx6sd0pTJt1atVrGwsIDFxUVmAqM9snXfZIhF254pvJ63l5uDt+qIoLgLN/MiAGQyGfzTP/0TTp06Bdu2sX79erzlLW/Bjh07AKDhfPNEIoEdO3Zgx44d6OnpweTkJHRdRyKR8IWBcxjiQgI0vqf8Vj+vxVkUWGV05Wa55HmHF8+R3XMTCESrnyzAmcqWy2Wm+dq2jWKxiF8+9iSe3vc4KmYJQT2I6199DVLpFBw40HqjiMajZ+X4b3FO/LzcFCFKJsY/d56XJJNpDA+PAkBD7AbPcyZnJvGtn34bR08dheM42L71Utz2hl/HxRdeAwDsqHTHcdDb24PLL7kYV11xOdZv2YIjMzMsAZqPs4+W3QRufrhmoBdBJs26tUVBbHSd11ZldbwkXtnnZj5ImbTt5Q4pFArsPkm39FIXi8WGdMTFYpHNsR2/OT8ut7F4uWtisRjTxkOhEMsPLmO4ZM3gTYDi51OnTjEtaHZ2Fnv37kU2m20IjLJtG9lsFrt370Zvby8mJyeZic93E5xb4N8zccFx4wf0fvFxLG5t8nXchHxqw8st14w3Nbsnug7cytM9UhrIlN4dTyE90omybWHvvj24964HYFZNWDUbx6dPweIOQ3Nr14uHNQMvAFCelI7ONSiVsnBQQd+GQZx8ZgyOs7wLaTkXQZ230A4AoJF3BLQAoKk4dPwwy2cwPjmGI0efQTa3wFyTFFg4PT2DBx96GGtHR3Do8GHGRykI2cfZRctJh2hxa9eULdbx6o43+YmmJhmR03Wg8ZAkWf/N+nUTOGRz8AKfcIO0D0Wpb5mhgEGaBxFUO5YIfjwy0yB/j882SNkRRYGC5iz6/IjIKQqYIoODwSDC4TA7RIRSh5KLAFjO7EZtkpuE7kejUWSzWTz99NP+6YVt4qVoTeFTT4uLYTOBuxntEkhwIOGB117F/CW8SZ8W4WbCtZfA4sU73Mz1olBE44yEw9B1A1AULC1loaoqopEoCsUCGz/NpaurA7lcHqVSecUYW1G4ZOPkhTAS7KOxNGpWBbZtQVEV2DW74XekoG1VUetnktg1BIMaUukwgnoQmdl6ErZwPIqOwR5MHz4JVVVZevNgkFwfTkNGQ0VRYOg6dO6ck1QqhampKfzHf/yH7ypoE83oqO2zCehzO+XF6151RF+hm/YvmuXEdmmLYStjdtMimtWTjR8A23JDi2wwGMQll1yC7du3s336ABp2G7TTh9szkc2D/tMJi24MI51Os3TBkUiEEXlXVxe6urpYW7RvmMDnDaD4CV64AOoaRqlUYpaQeDx+VkydPl4aOFMFgr57tSNmzOTfbV4IFi0O/BZYut/fk14hWLt9b4V3NHM78Fp21TRRLBVRLpeY4P3GG9+G177yJpbPHwDTvt0Cm8VnJo5fJozJnrWiKCgVs6hW68qAXWsUqhRF+f/be9MgO67rTPDLfO/l8vbaF1RhB4iFICGKlERSlkhKlsZqyXa7battt8eeGU/M9MyP+dXzvx3zpyMmOmImZv6Nf7ijJ2xHt7p71G2tpGUtJimB2ImFAAqoBYXa377kWzJzfjycWyfvu/mqCgQlgsgTUfHey7x58+atPOee853l4tDxGeSGMkglU3j9hdcAAKm0ga/85jg+/8YodL3XrlVvYuXWgrg3pQj6vodEIi5ikHjBo063i0qlglar9VABGhUu14geLz22ZE2ZoQa1C2MwlR9RvnanMru7HYOKwuBFeZyD+qGXOZVKwTRNWJYFy7Jw7949HDt2LFAPnSsNuxWYj6q4yHPM21NgI1n5PP93c3MTm5ubQqDKz1+r1UTRIWJuQjvkMqUURFSr1YRrJaJPPoUp5Cr+2m07+T3ksoMvVHSeB/btxGtGIg5Vk50MCn5feXw78aqA0mMxTO8fRm4ohfHcCJ4dPYjrd8/jN778CsyHgcpAL3OqUCih3e4E7ikrBRwJ5J9cUdntfIchs+P7hpBMW+h6Li7fuQIAKJea+Mmba7jw8010Ol3ldcViUcRcjY+PwzRNUaOFjAUy9Kh2wdbWForFYuj/IaJHpz3tTTCwox20zV0PSNMCQSqql4gWmt3ARI9qlagWPmCbeSh1RiayUAg2p8Xf8zxks1mUSiVxnNLswhh2p2caxMQqAahichor+QdpTNzFwJ9NhlnpPMF7w8PDYsHnigGRYRgwDAMPHjzAwsJCpBDskZ7E+aK9CXbLi2GyRLXY8TaEwnElm19LMoOnvQ0aA33udF9ZAQlzZVIb0zSV6XHkzjNNA51OF1bCQC6RxKZTwb7pKSws3Uen00F2KIexmSncvnxdLJbyQr2T0RBm2HB3i1xfgF9Dcz02PoZisYhMZhijEzO4c/NiYM8C3l7+pP7Jjfj6668L96Gm9UqacxeOZVlIJpO4desWzp8//0Tywq+SdpqvD703wSBm3Ws/3CcGqIt8qM7tpX/VcSK+0IUhAFwzByCEjxz9zGMGSHkpFAriGfk2v/IY5TENGof8nZOMtNB3ui8xI20b6jgOOp0ObNsWqZFy1HDY3FH0cKlU6mN0ChakMswUvBjR00Fh7yd/LzmpeECG/vn1XHaognJpUSLjQVYUwsYVJtt2i2TQd1n2EOQ9MT6BUrkUqMDXG28Muu6h7jRRbdSh6zruzi8I4yiVy8K0zEDfcuwRn1uVXFM9m6o6qSyjCD2kAmOHjxxEuTiOlZUHWF2+i2w2K2qLkFyUjQLZyKCiZe+88w6AbcPCMAxRATWdTmPfvn0ol8tRnNFHRI9UgVClWfKXcDeMNqh/rhCELYwfRumQ7xU2tp0WWQB98DkJHfJFcsiL2um6jlarhUaj0ScQ94pk7IQO8O9yZgcFFVLdb9M0hR8yk8mIeABSGF577TXkcjnB3CJw6OHiPzo6ildeeUUoF4cOHcLo6Ki4ZywWE7u1ReVEny5SyQ0V7Extw+DsMIuWPun9lZVgVcEf1aIdxk/y/eVKpIP4WJaN1J72++D3on1AeKQ+PRfx3erCfdy6eG1HBZ0/V1gbef7k55T/ut0uYrEYvvDqZ6DrGi5duIID+w8hn8vDadbhui7GxoaQzaXEPKVSKfzZP/9TTEyOi2egIGuSHQdmD+B3f/N3HrpVbTz/3AuYmZkNIAmWZSGfzyurzEb04WlPAYREYYty2IIWpkEP6ltezAb1r+pPJXzCtOJBY9npXnIWAzEwReTzPy5IBvnwwuYizDLaLXGfqu8H67ivr68LDd33fXzlK1/BN77xDQFdHj16FAsLC3j55ZcxPT0tGJKCmjRNg2VZmJ2dFVs6//7v/z5ee+012LYtFKBqtSo2doro6SPZUuWk4lV+fJDyrmrPvw+STfK1clySqk2YEiMvqoOIivvEmbFApXl59gPfGZDX8FAZYLsxkj6MsUZy49ade+h0egbPT376FirV0sOxufjjP30Z//3/8AUkEnHY6RROvPoSLr13Fd/48m/jmaMnRBA1ZZnouo50Oo0zp55F0rZx8sRp/Hf/9f+M3/pH30Qum4OmaWg2m9jc3ET3YUBh5CJ4/PTIKpbqZR9kSauu4QsT/aZjYYoA/x7GeBSVSql8/F67ea7dnqd7kvbO86Epp5/HDAAQzM63ON4t7XXxp2sGCc18Pg8AonBSrVZDPB7HwsKCgAQpBiAej+P555/HysoKNjY2hPCi51hdXcW3vvUtAL3shfX1dZRKJQFBWpaF8fFxscdBRE8Hqd7bnRYkeXELg+i5giu3C2sj34d/7hufhOu5WN3cCB2X3N9u+VIlO2bGRuD7PpbWN0Ub2tpc3mQsH09gykrhll5FLBZTxiyF0SADaKe29Jugftd1UShVMTUzAwt15GafRRIe1lYeIJsbwZ07VcR0F74PdNptVLcKSHcTePnFVzE3P4eF+/OiFguVIp67N4d/+a/+N/jwMTXZxsbmOjY319F9GF+VSqVw+PBhVKtVUaslosdLuw4gtG17bx0PsGQHMSc/P6gvahd2b1U/8rndPofqfvKuWrTgaZomfF28D/KBUaQ+ReDTFshhY9pJ6QqzdLiFs10UBOI7aebDw8PIZrNYWVkRgT/pdBqvv/46lpaW8M4774i+PM9DOp0WigHftpTcARTpSxkKtF0pBRRSCdZ3330X1Wp1V/+DiLbpSbSIMplM4LcMq6ve4b0uuGGoAVfEVWOQ5zOm6/CxHcUepsjsRgEIkx3xeByxRAJutwuQS+MhZJ5MJtFqOQC2+ThuGEikkoiVq7A1HWudnhuB9kSRDaVBsnWQccCDhmVXILAtO3Rdx9DoOA4enMGZ6TZ+dr2JXDKN0ZFxvPDCKxg7Y+HSuUv43t+8BU3TRBpkPpdHsVQU8pH671Uu1XDr1ge9543Hkcvl0Ol0kEqlsLm5KdyL2WwWf/M3f4PNzc0d5z+iIO0kOz4y54vKj0YUBhHK3zmcLiMGYVq+6hw/LwuMvUBmfDyUHdButwXkTYvpkSNHMDc3JxjV8zykUilMTk7i9u3bffMzaBxhikDYHKrOh7l1HMfBysoK1tfXhfAjTX1+fh71el0gF8S4NIfdbhemaQplplAoBCwZ3/fFJiz5fD6gzVNQZURPJ4VZ92FtwuBw+R3nMoIHw8lZMHJdEt6vK9Xfl8/zczvJDjEe9BSALgtgHDlwGI1SAbXCVs+ASCSgGzpOfeMwrv2XO2g128JVkBwbwcTpE7jz1k9Qxnb8gDyH8v13Ev4qmSv/H1RzDwCV4haulgq4dT2BTtfFA11HJv0ADaeNo85+lLYqgeJPpmnChy82O7NtWxQyu3nzpnAl0vyUy2XE43FMTk6iVCoJpY52Po3o8dNHhgwEbqJgaNUnneefxMg8oHCn0sb8vjtZCGHCRqUIELyvIo4KTExMQNd1rK2tBVwGct59Op1Gs9kUaU67+VcEhMwOGj5HB1TzS3NrWRY6nY6I4pX3U6f2pAxQHzxjwPd7Eb+O4wTQCIoq1jQNhw8fRiwWw9LSEs6dOxe5Ch6BnnRkYK+LFLC7WCHVO07vII+NUWUShBkrfMH9MLIjZRg4MjaGqw8eKF2cxHdW2sLs6VmgksGDxQ9EbI3r9ir66T7QfrgQPn/8WdxbXkChXAzIjkFGRRgqwI9zVID/yfNK37PZPJrNOuxUGslMGpWtLRGYzGW2bdsCDQC29zmgAkIjIyOoVqsCSfB9H4ZhCLl09sxZGIaBazev4Vvf+lbkKngE2onvPrKQbpXWHrbg72TNUhqL7EOja+SXmh9TMQlvo/JFqoQOVdEb9KwE8w0NDeH06dPixaeSvlTRj/xuVLBH7idM6A0Shqo+eK4v+fZllEDX9UAVQXoODg/yNMhcLodkMimuByAQkFarJaJ9aRyU851Op/H1r38dX/7yl/ccKxHRJ4N2owio2qn4Wj4WhpRZlgXTNEX0Oh2X23HFmShsgZVly06yo9Hp4H2mCNC1XLG2LAu//tpXMTNyBs9++te3tzW2U0ibKVixOJ6dmhCZSldvX0e5Vul7HvkZ5PM7yRB6BgqC7inxRzE7e6BvPuLxBCYn90PTdLjdDrrtNhKJRCAdkTKLPM/D8NQkMiPDgTlot9tCtk5PTYgqqAAE6jg8NIw//cM/xe/+9u/Bts097ekS0e7pl5LfFcYkchsi7oeX9yiQ2w46FnZcJWhk4hvuqPpUMVwsFsNnP/tZ7N+/H+fOnRPlRMlC7nQ6KJfL4nrVs8njk59jJ4WBnyMFhJ4n7FnL5bKYa9LEeQwECWeqICgLToonsCwLZ8+excjIiHAF0KLf7XaxsLCAO3fuCAEQ0dNB8uK5E8ntZD4MW+z4e0rvXtiOqGFyQbWwh8mbsL90OgnbtoJjYu4LlWKj6zG89srn8ZlvvIz3L/5nGFYCuXwWMU9Dxkij3mnjZqEk5qLT7QQUapWC0n8PvU+BCZtHWsR1Xcehw0cRe2hMBA0pD3fuvA/f99ByHFSKxUANE2pP6Ez3YQEhjiwQqphJp/D1/+rzOHhgRpROpwDJdruNuwt3sbx2D+lcPDIkPiL6SJWB3SgBO13j+76A0VVa7059yf3u9vpEIiH2N6D78n0FeJ1w6j8Wi2F+fh4XL15Es9nECy+8gEwmg06nA8dxxPXc6g7z5+/1GfnzqXKguVVEWyhT2iAPNNT13m6KBK3GYjGxSVUikUC32xVFg/h4CT1YWFhAu90OaPi6rsNxHLz55pu4du0aHMd5IuHuiB6NBinyKiVXtRBztIAbC2H9U/tWqxWoBKq6t+ranZRvFYJA3w/sn8ahmdkAT1mWJfjs4JEjgTiG3nHghz96Ew9+chVwOnj1t59FZsxC2alipbqG3FgGCau398eguVCRChlQKT40Xvma+0sFlIo9CN/efwi6aSKbzeLVV14VCgMhj+TT1zQNCcNALpcD0Nvozu06qG4VAATjHnpoQhzXby6i3nAwlM8H9papN+r4f//dv8XSxk1sbGxFhsRHRI8cQEgvZBhkxtvx82F97XSMoHZi7r1YG7KACLsf93GThQxs+/i5VayqpuV5HlZWVoRFfvHiRbHwkSCg8YdZ/2HHd0ICaEx80eeZA2EBRirIjbt1UqmUKCfrui4sy0K73Q4oHKTg1Go1ZLNZJBIJJJNJdDodUXURgKhBfvPmzdBnieiTTfIipIoXkt2KOyGDQWu1n7+TySRM0xQ+adVYVCQrBarSv/z6Y0eP4sGDB1haWMdIdlhYxACElZtIGKhVq/ARLOftui4uXrkEO5mEmcvjnb+9hnqlsY0q1lw0mg10WZ1/eU4eVXZQnBBHQ3mJ8kplE61Wz0XqOU3oAGq1Gi5dvhRwLdKYPM+DYRg4eeZZnDh9Cj/6/g9Rq1WRnM6gdbsl3Aa+70OPxZDOZbBVKKDrHsfE6BiOHtiPUrmMn/z8F2Le7KSNkZERLNxbCX2WiD4c7XnXQpXWzM/LpGJkVV9A8IWSifzS3DpX3Zf7yVVjGqQIANu1AlzXFWV0iZLJJCzLwhe+8IWA5krPSFX3crkcPM9DtVoVpUZnZ2fx4osv9sF4YbQbJGOQ1aRpvfRFWuwpiJGOy2OX5zQejyOZTGJmZgamaYq2lUolMNdAr/b86OgobNvGysoKKpWKqFRGKEg8Hkc6nUa9Xsf6+nqEDDxFtJPsUJFs8W5b0GreV8kO+k6V/nhFTRV/ydvnysQVbbmN7/tYun8fTcdBtVHFvZX5wBieO30WM9Oz+Bf/y79AQo/BlxQLy7Lw5de/ggMzB9CsVlFYK6FZdx5mJ53CKy9/Bb43GGVRzbc8T3wu6Zl4n6TwtNttITPW1xfQ6TR7smNrA/5D+dFsNvtkB6GN2WwWR48eQezh/8xzPRRvbQIPb0XxCIdOHsVLX/o8Zo8fwi/O/RwLS0soV6q9WI+HKIhhGBgdGcHKgy3cvjUXyY6PiPbkJhj0T9gJqgJ2JwConYrZ+OYiYUqA/HKHjUPuO+w5SHOmmgDdbhe3bt3qCyaMx+MYHh7G/fv3Yds2MpkM0um0WEgdx8Hq6mqoYhQ2F9RurwgIsI1oyM8kK0t87kgYUirkN7/5Tezbtw+5XE60JT8fsL3xEF3r+z4cx0GxWBS7ktF1jUYDm5uboYGYEX0yaSe+V7UNu0ZGDagtR+pUqMIg1xS9u/y9Vt2X98/7pjE1m80+P37KNpGIx7B0fx6lchHff+t7KBaLgfGbpoljx47hZ+/8BOP5HI6Nj2F2alIgco5Tx4MH84GUSBWcHzbWMFeCPIeEYALbe6/ICpm8CRHJA8oM0HUd00PTOH3sNP7bP/kTmJ0YjtlHYeqmaEuGnWknkckPIxaPI2EY8OFjc2sLP3n3Xfz43Z+j/rBcu6Zp2Noq4uK5DwLGSESPl3atDMiWJz8G7C4+QHUdvz7sOL9GRgb4vTVNw8TEhLBG5f44U+xmcaUXn6Dv8fFxAMDy8nIf05umibGxMbRaLbHgmeZ25Ov6+jru3r0b6F+1K+NeLChZMA76H4Qt/MTIlmVhYmICo6OjsCwLzWYTi4uL+Mu//EssLy/DMIzAzpXUXzabhWVZKBQKqNfr4h4U9UwpqfF4HLZtY2tra0+V0yJ68kkVxDeI1/eqPMjXyZa/sL5tK4AucJ7QNA2f+cxn+lKoZXkXJjvkY1Rd7+SRWWRSSZwYzqLbbuG9C++h1d5OqdV1HblcDs88cwLdTgvN8io2N9YxM3FApN4uLd3DjZuXAWzfW+VqVMkOucYCH6/KIBjkaiCZQXKDsjSy6TTOPrsPpw4cRTaVxXplHeevnsef/8s/x9qVNUwnpjCdnA48s67rGJs+Cqdh4eo7FzB/4464R6fbRbPZRCaTEbI1m81icXExKmP+EdKuYwZUlvROTDtoYZJ/y4u+ishn3el0+nLUSWseZHWqGEJFZCGcOnUKy8vLqNfr6HQ6WF1dFUwo+8y73S5u3rwJ13VFOdFKpRKaMaAaj+ocCTNZi5fbhikG8p+s1VM65MGDBzE8PIx8Po8LFy5gfX1dZACk02mkUqm++ALXdeE4DrrdLhzHEf2SlRaLxURuMY1RRkci+uTTICt/r9cMkh3ypj98Ee92u8gemUJLc1FdLwaUBJIdq6urATRN5sGdnxMYGbNRLnXxja9+HRevXsKNeytotVp4r+Gg/dAi5rKDFuDvfOdv0Ww28f4Hd3uyZOl+oLy5vHFbWLyDzP/yc6jmj8Yhywn5OxlipBQkEglMJPP40pEX4J+2ccx8Cf/hp/8eHyx9gFarhQsXLuJQ9hAOpPej3CkHxuK6LhqVLbidFgprK6JfkpexWEzEhtEcffDBB1Hw4EdIj5RNsFvmliGmsOtUKXwqLdz3fZTLZRFRy6+l38ViMbBohWn2YQoNQWEAcO/evUDJT74pkTy2dDoNXdcFw4yOjgr/mTw/KniO/97NOfqtUhp2Y1lxQUibgFANcMoeoHvXajVh0VPfhJo4jiMqDcr3pv6pulij0RBpjBE9PSQrpGEUZoHzBUnuU86coU+5xLfv+1i9cQ/JkTRiiWC6LZ2fm5tTFsIKk2sqfkymEtA04J333oGdsOF7vbG0mItTvv708RcwOjraK0KGOGZPflpkIKjmkkg2SFSyg+6paisbYYNirQAEAigpzXijUcblyhJKrVEkMsOwUz1rntI671Xu4e2Nd1BoFQLBibquo1JcQ2Ftvk/5oHu0223k83nouo5SqSSKuEX00dCeswl2gxDIVv6gdrtZuKgPssAJQnIcpy/Ij2cAyIqE6llICyUr2bIsVCoVGIaB6elpLCwsDJwDiq7nefXxeBzNZlPUFqDIXEIV6FlUGr/8zGG0G6tAZmzuHgC2tzDudrsoFAq4ePEiYrGYSB2kKGOaTy6ASXjEYjHYto2JiQm0222sr6/3jb3T6SCXy0UbFD3ltBte54sBMLjmhiqFll8j/3aqDWA9gdmzJ7F18w6q1aZo5/s+RoaSsI047q9VQu8tj2Eom4Gma/C9GIazI7i3cBfpdAqfefkz+MU/nIPne4FxcKUmnU7DaTp4cH8Fw/uGsVXYQrfdwub6fRiGAcdxYBhGIJiZP6dq+3QuW1RzMuhZ5O/cdUAZUoZhwPd9JJNJdLtdtNtt3F5ZwOpPS7gcfxPFUi97iFchdD1X2V8sFkMuk8OhmYNodpu4tzDfN1bHcTCzbx9q9bqQSxF9NPRIqYVhFuhOv+mYyn+ogtLDFkhKXXnmmWdw9erVQHBQGFQoH5O1Yk3r+aYajYbQSm/fvh2AxUQ6DIvEJSKYHOhF2ZJvi+A17iffjcUfRiqYcCc3An9e0zRhWZYYL6X5tFottNvtQGBSOp0GADQeBvKQ4sTHPzQ0hGeffRZf/OIXsbq6ir/6q78SCz5FFVPp0EajEcF8TzHtBiWk8zv1w/vgiv+gvj3PQ7tShVWr4Q/+6Zfw13/zY1SrNfFOFstNlHeJzBGk7bTbMAwD+2cPYWGhF+leq9Xx7f/0nwFA+NcJrexF0QO2lQA0wPM9LG/OYbXYg8VbrRYqlbJ4DsuylLuvqgwsFVohKwvys1A6MvXLLXT5fDaZwZnUQdyq30dXh1AIarWaMH5oboaGhoRFT+PgyoDv+9i3bx++sO9VvLbv81hPb+Ffb/6fYsHPZQw8dzyDmwtdaLreV601osdPjxQzEMZsu7XyZTgIUGuuqheZlIFisYh6vQ5d75XTpfShMIVCdR+uhFAqoKodj+LVNE1svGFZFrrdrthhi2v9pMmT0OAIANfeBylMfH5U8x+GBMjHaByErJBiQgqBaq8HTduOvyCBQG1nZmYwPT2N+fl5lEolFItFrK6u4sKFC4HNmbhr5fDhw/jggw8imO8ppEHK7iDDQmU0yMo59cH7o/Yq2eF2XczduY/1tR5snclkxIZcvu/DHaBk87HS++202nA9H9duXArwEfEMr4lC/Pe5k9PYNz2E925tYnx6HxK6BqfpBJRmTdNEzI2cCqwaEx9bmHGgmhMuJ3jdA9XxTrsNJ96CDx/V6vbOpfS8vFAZRf27rhvINDp67CiOHDuCG9duYG1tDSuZVaxk1vDu/C9EKiP91ZoeXN9H/pSJ7/3oYiQ7PmL6UEWHgN0HE4ZR2PVhsB/PJyYmsSwrAMHz74PcA/L9hoeHUSwWA74xOicLJkoz1LReGl4ikRAwOM946HQ6ym2Kw15svjirmFqeL5oTQiBU7hGOYJA7gxdKAh5WCGOCi67llgHQqylw8uRJ5PN5XL9+HQBw8+ZNzM3NCaWHEIhOp4NqtZczbBiGyEuO6OmkMMV3t8YF/y0r2GFE7xt/h33fR6PREugXpSyTy0xlVHDixoHv+4Cm4Zkzz+P29fd72xKjP4CRP8P1xS3cWCqi1fXx/Ow+5JMxvH+jglqtFti9z3GcQJG1sP7ok4LuqE2YkkWfuq7DSBjwfA+pVBbdbgfdbjvwbHzeGh0HF2t3+jIPUqmUMIZI/spIAwDk83m8+JkXMTYxhp+//XP4vo+3776LC/cvoettyyXDMFCpObh2p45kxkbM1lCpVCLZ8RHTIykDYYvpXhUC2fqV70Gf3LpVBRu2Wq0AI8iaPV9AuS9NBZ+pxqAaE7C9kNJ2mwSzE2MC28WSeB+q5x6EvMhzQddTII5lWajX68K/KKMUKouBXC3dbheGYQjIj2/HTJ98PIlEAufOnQtsJer7vkAbqC1ZBFTj/K233hLxBBE9vTRIdsh8St9VtJtruHXLq+tx+VCr1USZbU3TxEIWtkshfQYC3vDw3rtw/WmahkbLhef1+OXerdsYzidRKFQCu4ACgw0DOibfi9+HX8PheV3v7cCazeRw/OgJnLvwLkaGJlGrl1CtFQOLPXchcN4mWWPbtkBGa7VaAAWQ+zFNE2/94C3U63VhyOm6DqftBMbcbrdFkbJcKoe3/80lLN6+r3wPInp8tOstjFOp1K4W+7DFXW4TxnCqdvzF4hBd2DXAdiVBShOkRVleTPfihyKhQosoWRN0zjAMTE1N4ezZs3j//fexsbEBx3EEMhCGCoQhAPwY1TvgGjLl/PK54jsGcubnfdJzUJpmPB5HLpcTkf5hgVlcMeBxE7KCxhWteDyOfD6PS5cuRdHAj4GexPnL5/N9ixSnQedkkmXHIFcbf1dJGSBEQaWQ03tMvE2ZQDz+h9rT9rphz6IaSzwex0gqhWqrhc7D3TzpXDKZxDOHT+GNz3wNP7vyJu4t3kG1WhVbGKuQTpqHMKWfPmOxGKYmR7CyuiXa006w5G7RNA22nUQsHoP3cGy+H4wRIiXINE2kUikR4DgxMSFShnnhJrqePnlKM42LzvPxk0xJJBKYnp7G3/6X/4Jbt28/ke/+x4l2mr89IQNhlqzcZielgeeQyr4u3vdOiICsOfNP3ifV2KZgHHrRVYqAaiHm52gnQgCiZKfrujBNE6Ojo3jjjTdw4sQJtNttFAoFoZSYpiniGmicJKS4ohI2nlgshmw2i2q1GnhOckkkk0lUq1WxhwNlOKg0eyJ6fsqAoDFRFgT/H/BtSWnu0+k0HMfpU+q44OC7NUbM/HQSf+8GyQd+LkxpIAVeNhJkxZf3w99d6pP2IOHHqF+6hhSHlJHGdGoG680VVNtVJRLGxxx2zDJNnBwdw/12C8VGA41GA51OB8lkEocOHsIf/9b/iDNHPg0v3sb9lQXBn+l0GrVaLcBnZHzQDqDyvUlmeJ6HRCKO6alhrK0XxTnf93uFkWJxzE7vx9zCHWSyWeTzQ1hdWQ5s7sTdigBEwDHNg2maQhEglBLYRiMI6dg2EBKYHT2JQn0JTrvR9w5QW3K9rkS1SX4p9NjqDHBIblB7eaFXtZO1eoKaAQQscVpwZOJaNLWn+vmEcMhjJS0Z6F/4OMnpPKTZUgDNxsYG7t+/j2KxiEajIfJtubuAa+7EyBzClJla03qBR/fv3xeKjGwhUbU/ijyWrSB5fvn9dF0XwZh0LVUMNE0Tw8PDfUJVNS/cj0v92LaNarUapRRGFEoqfuTv+CDZouqDKwr0DgMIuBF3kh3EzwBwNH8cvzb1Oo7nTimVjVwij0w8K5QVuT8aj+t5mHeaaD88Tgq453nwOz5qxXVsFhdxf70XmEtb+dLCK/fLN04DgvsM8EW83e7g/MXbAaOD5IMPH/XSOoYzaRQLBRhmCtncMFyGDnBrnlvuJDOLD7cu5vFHuVwOqVQKMzMzoi2NK6bH4PndQBVXmneujOVyOWxsbEQphb8keqRsgt0cp3NhMJoMecnX8Bec5+jzdmHuAtV9aWEmaE8+Ty8yt6SpL3r5uSVB2/wSo7qui7GxMQDA+++/j4WFhcDLzpUBGbWQ54WImJvGwGFFYhjqZ3x8HJVKBe12W6AQxIAcGqSxcMueZxrQs87OzuLXfu3XUCgUcOHCBVFNEYDot1ar9c09jZsrFNeuXYs0+6eYwpApvqhy3ghDCGT3lYrkBcXzvICbjs6F7Rwq9wMAd8q34HQdrDurygDdluuI8em6Hoj+p9RCkjstz4P7MKiYUm273S7OHjyLrJ7E9Svn8P6NywHUkqLsieRAPXme+LPrug47mUK9Vg3IjngiAV3vtTk1PYalYhU1pw34XVSrZdhJE567LSuoAFK73UYikcDIyAjK5bIwEGiX13g8juMH9+ON509jq1rDe/eWxMZkJIM838Xy1q1QJIUMwEwmgx/+8IcBORrRR0ePHEA46LhsAfNzXCtVXc+hPoK6VIyr8p/J9+TnqNJeWHuumfJxEvGtSOVFUNN6+cBzc3OYn58PWPMqX5+KVExBzGPbNjzPE/c1TVMs5r7vi50AO52OqCHgui6SyWTgmSnQkpQZx3HgOI4IRKTCIlNTU3jllVfwuc99Du12O7DlsGxNyfAhV+LGxsawtrYW7VIYkVIOyAscEB4pT5/kVlPxOPVDfZFfX06dDXN3hinkLdfBXOVWX3uilt8zCDRfE4GzPIBXKAKtFra2tgLjID7+/rnv4yeXf4KW2wJ0BFKl5TGHGUB0jmSXbduY3DeD0al9OP8PP4Xnuchmc7CTNqYOvQSnXsbKwmWcX95As9nE/v0HUK+W4DQbmJodwdry9oZK9XpdIBmO46BarYqgZYqjMg0Dxw/P4rVnT+Psof3oeh6u3lsU41LFB6iUwXgshpnpMSwszGN+fr7vWSP6aOhDFR1SHQf6rX8Z/iNLVU7RISaSIWzuI+SkOiaPYydGogV3eHgYGxsbSv+3fD9VvAPtWKZ6ucPmcNBz0O8zZ86gWq3i3r17AHrCaXh4WCgHpChRkFOr1RKWgyqVj889KQLkP3zppZdQLBbx67/+62K712aziWQyCUDtPuGICn3GYjEcOHAAX/3qV/Hnf/7nkWYfkSCufPNjRBw1k2UHf9dkiJkC1HhAbSwWQ6vV6rNAdyNHZOSOX8fbW0kbMycP4d7lD+B23b7xciWFlHDqixSGSqUSKPW9G9nBF9MwWfL13/wn2NxYwzvv/Ayu29tS/MTpMxgbGcGFi5dQr1XgdrsoVyrQNA1L95fEONeWi31zQoqO53miSqvrukhlsnjta7+BjYV7+Oavv4C4ZkPzdHQaDQwPj0C7Ox8oV65SBH2/twV8LBbDscNj+NoXp/HP/9fv9lWYjeijow8VM8A1O/mc/H1QP/SdR8cTce14p7HIYwpDJuQ/13X78lg5DE+Ws0qAqT45lBhWCElWkOS5IEg/n8/j8OHDgcDDQqGAQqEggiHpON2b7knXcEakbANZYbNtG/l8Ht1uFz/84Q8xNTWFSqWCv/7rv8bS0lLf/0ueB7oPtdN1HT/4wQ+wsrISoQIRCVIhb2FQN9AfEBwmc+LxOBKJRECJkNN65WsGyapBsqOndPT4qNvpYGNhBb4XvA9t50sLnMrK5wV76JO3k2WH6vll5Yqi/QEfRqaO/c/k0WWKxrUrF/HWm99HYXMV7VYzILcoRoEMHgDI5rLiWSzLCswFjS83NISxySk0ux7+3ffexdQzz8I4chz/34VruL24LTtkFJY/H8kowzBw7Jkz+PG5Fdy6sxDJjl8i7QkZCFsM5IWFiEPIXEMG0GeBEyJAUbqkNcu1A+g+O41LxeicaYhJyecvpw9xLV7OOgizWPjYSGjI1oU8Rt4Xj00gX93ly5eFYkB98jkiyz4Wi2F0dBQbGxtCg6drTNMM+B157i+13djYwE9/+lPh3/zBD36AyclJsTUx3UceM58Hss5M00SlUsHly5cjzT4iAP38OAgNo3dTbs9lh/zexeNxwcvcFSbfX/XuDrLEVbIjnx9DOpXH/eXb8FwPtWKl73pCJOT3X0YXwrYitkwTrucJvh00Zm5IUYVRXdfx4x/8XET6k2xxHEfMpWlk4PttmGYCn3rhNM794orw/QM9OfGpT30KV69cFRUFqeogd/XevX0L/+Hf/CWMWAyO4+CtH7+N/ftnsbK5hWKxKIqhcXkjzxe5KIeGhpDJjeFv/+LfDtyBNqLHT7uuM5DJZAZ3pNDq5e/Adm48j5AljZAYWM4/3QlmDhMq/P5hj/lhNE9ZKQCC6Y60iJNAUAkWfpyfI4alP54+xKsC5nI5NBoN4SOkuAIuTAk+pfvwlCE6T5HBtI9CJpMRmxZx5udBjbx/CvrRdR0TExPY3NzEu+++G2URPGZ6Ei2lkZGRvmODUEPZcKD3jax/HrOjab20Wkp3o9Ra4hdeC0CWUdx4UaF+xGNqC12H64bXKJEVZ9UY+G/id7rX2Ogo4AMbW5uBfmWEUuZD6osUJLkqIaUM6noMo8PPoVqfg2XpmJ2dxO3bC0KZIqJ6BHQf+s5lHC3kyWQSjuNgdHQUiUQCW1tbAdlBCAkvSkQoqGWaiCcSOH78ONbW1vAXf/EXURbBY6adZMcjlyMG+hk6zBoPu44vTmTx0svBo+dlOEkuGsIZTKUYqCBAeTw7TdRu2sht2+22EtaUSe6X4M6ZmRkcP34c169fx9bWlkhTBCB2EKvVakJBqFa3I4ZVz01EAoHvT06FlADAtm1RP8DzPJGOyTca4n0bhtErNfrii7h69Sra7Tbm5uYiVCCiAKnkg+o9VaEI9F0ugkMIX7vdFqhULBYT1jFHB6i2gGoxVpGs/HKYX9P6YxBU/ahgfU4qFyEAbGxu9s2FimQlw7IseJ6Hs6c/jVdfeg1vvfMdzC/cC1QMTacTGBk2sbZ+Ha7roV7XcPPm3YDyI2dVEVFNEsuyxP/Ctm2hdNFeD/Q7lU0hrsdQKVeVRl0ymcTEyDjeOPEyzq1eQ61Ww9/93d9FqMCvgB4pZoCIM8cg65wTaaxiAPp2YZpegYwELMsS1qycG8wXo90wHx8LFyr8O2m2YZTP53H8+PGAIBokQMIsEfm+YWOneThx4gROnTqF0dFRDA0NBeDSTCaDXC4nmJasqEQiEVjkSdGKx+NicyXLspBOp3tFRx4WcSH/KmUYUOokABw7dgxTU1NIJBJIJpOiMhvvv1arYW1tDZlMBisrK1EGQUR9JFvffBGVz6kQvaFcHgf27RN8QAoxBe/Se00IAk/x07R+l6NKHvDfKqVabmuapqhjwK+jv9mDY/jSN54LWNdhfcl1QVR98nHLpGm9OAnTNPFrn30DL33qCzj77JcwO3s4EP906mQan3s5CcPYrgSoaRqmJiYwPjYm+Jp42zAMJNNJpLNpZDIZDA8PCzlAe7S4rotqtYparSZ2QPU8D6c/fQL7j83ANE0MDQ2JwGR+j0KliDW/hJHREXzwwQdin5OIfrm0Z2RgJ01VbiMztRx9TosRwXqa1kvTowp6g2DmMPgtzPInxibNNxaLBXYf5EGEdA1ZF5ubm30Fh2QKgxVVY5LhPnmuOp0Orly5gsXFRTSbTVSr1cCuYLRwE6zHSyvzNgSj+r4vCrC0Wi2hAJAgoz0K6H9EY0mlUpifn0ej0UAymRSujyNHjmBsbAwXLlxAq9WCZVkYHx/HhQsXsLCwENiyOaKI5IUszE/Pf9M7TG3rjTpi8ZhYTBKJhAiiJVdVJpMRG/zQLoAyqWJf+LkwIuOEZEd+aAjPn3oOi7dv4tby/b6+dV1Hs9HF3I21PtnB5RH1bZgG2q12X1CwPM54PCFcFLJLw/d7KYw/evfv8GCzipW1OayvPxBISTweR9PRMH+vi3a7Z3SQTPB9H/C3kUkq/OP7PtJDadhJG065Zyi0222R8ky1TUgZof/F2Ngolm+tYHNrC/lcvrcfQjaLQ0cPY3xiHBffu4Bmo4l0Oo3pw7P40Y9+hAsXLoj4rYh+ufShAwgHnQ9zG9BLSQstt/ZJAcjlcigWizveE9g5oFB1ntAAgvJ5XjBv5/s+Go0G6vX6QEFB12YymcDe22HjTyaTIpdYVWfd931sbW2hVCoJZuUIQL1eF22pD+5CAYJVFel5iVlp/oeHh0V9gkQigWKxKMosE9H/qNPpoNlswjRNfPnLXxYFhchXe+vWLSwtLaFUKkWoQESCZKs2zDUgywu5Xdd10XmowFLAIDci2u026vU6Jicnsby8PFAeyYZDmHLC32NeYS+RSKBaqeD+3G3k9Dhiegyu5wbcCp7nobhVQWGzP4iY34d4+uynP4X3L10VW6mHoYf7Zw5jdW0J7U47kDnEg65vz13D/OJtZHJp1Os1YSAAwJ25JmIxHYAmih4lEglsFgqiTSKRgGEY0LRePJcds+E1PSFTdE3H7MghjGdbmDo4DsMwcGfuNmq1KhyH4sE0tNsdeG4vjblSqcC2bXzlH30VSTuJm+/fQLPRhG3buHTpEq5evRplH/0KaU8BhIOYVQWn8QWWB6DRYkSFgGQo3TAMjI+Po1QqCd8RdxEQqYJ+5O/8mMq1wJ9j0FSognYGoQQq4aLrOlKplNhfgAtIrhCRy8L3fSSTSYyOjmJlZSVQfpRQDfLNUbW/ZrMp3C6JRAKZTEbA+3Rts9mEZVloNpt49tlnkU6noWkaVldX4bouNjc3RfAPsB1wqOs6hoaGUC6XceTIETSbTayuroqYgXq9LqoVRgz90dCTOK+jo6MA+gNow3iHb2pD/EDvM8HWruuiXC4HrtN1HclkEseOHcPy8rI4z+sSqBA7lZtClgmDZIeuafBC/i9c2RgE78txCfJ86TEd+bE8CqsFwAc0XS07KHvA931MpLN4+dOfwvd/8QtRf0TXdSSzFsYO5lC5U0er24WRsnH05DHcvvZBDzlo9hbosbExWJYl3JHkDkylUqgWavji4a9Bn0ygNdqFWy5Bt7pYXlzG1fPvC6OD13+Ynp7GxsYGTp85jXqtjoX5Bdi2jenpaRQKBXz729+O3IsfIe00r49cjjhMo1b5tXhcQDKZRL1eh23boWmDtEUm/VYpITt9Vz38TpY9BdGF1QYYRGQRcNiOxs5hw7GxMRGIR9o6Wew0H7zssK7raDQaQiOnxZ98/JZlBVAWTdP60jOB7VgGis2oVCpwHAfnz5/H8ePHcebMGSwsLKBWqwUWfxKwlFVAqMfc3JywaNLpNFzXxdLSkghojCgiIpl3eGYMP0/vvOwqMAwDnudhcmICD1ZWxJa5/FriPXJ90W9VevNOaIB8TKUwBGSSriNjJ9F0moEdBsOQUZk/5Cqr3MVHciRuxLH/+CyqW1UB+ZP1Tm4/ACIImxSI+WsfiDiharXa4+FSA+3rHZzI7wOMGApaC2sPVgFApB6STAG2kUHHceB2PdSqddTqVXz3xr/HocQZHJh+HrcXF5E2fJi2IeRaIpFAKpNBtVyG53koFApwHAfXrl4T8zEyMgLXdXHlyhVsbW1FsuNXSLtWBnbj4ws7TouQpmmBl3J4eFi5ePh+LxKfrFd+/50W9LB2spIiQ/PxeBwvvvgiisUiPvjgg4H7HqhKoqqsC/l4t9sVlQR5f9wK4tdomoZ6vY5GoyEC/gqFgujPdV0RqCP7JOmTAnymp6eRSCSwurqKZ599FvV6HVevXoXv+7h58ybW19dRKpXEuHjU8PPPP48bN26g2+0G/LC09XE2m8XS0hKWl5ejwJ+I+ohbrjzHfJDsoD9ahDToGMqOYen+fXS7XczMzGBzc7OP7whtzGQyAqGi8zwWZickkI+FiCB0GWUwDAN/8od/ioWlBXzvze/27UPC+0okEoGaH2GIJ5cZAOA1PVz+6ZXA2HnqsSzXNE3DWrWCDb2GmX0zyGayuH7zuui30+nidmWth7J4bt/cAL39XFqtFk6dOQXbtnH9yk08O/kG6o0q3mt9H12vgxvnz2F9+T4qhS3EtOAusel0GidefAFLNz5At9NBsVgUz2ZZFqampjA6OoorV67gxo0bUaXSXzHtGRnYjTatQgeAh3W+H/r5ms0mxsbGhGYrU7FYFK4J7hfcyR2ggiBlNwRvR+S6Li5fvhwKB/JrOPPupP3vhGIQIiAv5LKwrNVqIk6A9yOjK76/nSdMfcZiMYyMjODw4cM4f/482u02crmc2FEwHo+LXdJM0xQCiIIrL168iGw2K4IMdV1HNpsVfaytrWF+fl4ENEYUESceCBiGCgAIVRR6bjADK0s1Eeh76NAhJJNJ1Gq1vrbLy8sYHx/vkx2cwnic86GMBMhwPlGn08Ff/4e/6u3Gp0i95fdXoaH0W9d1QAPg9+/OypEOGgNF7XM0kisHdM3S/SWl/Ox0O/AhBydu1xEgNPLAoQN4/oXn0Gq10V5uIW9PIGXkUHLWYJomqlubaDkOksmkkGfZbBbpdBo337uAsdFRVB6iwpqmYWxkDFP7ppDL5XDnzh1cvHgxQhQ/BvRI2QSDtOpBcDpB3gAEVE2BdJw4nM0hs0ch+VpVsB4RBenxZ5H9hyqfHi8MRFovlfbkzy4LEpU/cSeFSgV9ygoAtXFdV+xKeP36dTx48ADLy8vCBUPFinj0Llcgms2myDogBCKdTuMP/uAPcPz4cbz77ru4fv06VlZWsLGxsYf/SkRPE3FZoSpaBaizDQJWedxHubUAoKdAb2xsYHh4uK8wDSEJFGPAa33IvLwXdIAUGZULAACq1Sp0Xb3Ft4xe8OfkbkLP83DgyGEUN7dQLQd3CeVKFB8LKREqRUoly2R56vu+SEXmCki73X74TDre+v5buHHtBq5duYaEZgG+hqpThK7rojIhn9N4PI5qtSoCkesPF/pcJoc/+fp/gyOzR3F78wNcnbuC27dv4+7du5Ei8DGgPdUZkBcv1QItw+PyCylgL88T8LdqwaMCO/SihjEUhx5VbXg7/l0F383OzuKP/uiPkM/nA3X2w7R8Pt7Z2Vl89rOfFcqNXB+Bt5UtDtlNMOiTmC2sPfkS6TsF8JTLZczPzyOVSiGRSKDRaAjFhQsKmktyPVCMArkNnnnmGbzyyiuYnp7GwYMHsb6+jsXFxYF14COKSKXwhpHK5UWWMJ0vlUrI5/NKxZjeWdu2A7KBt6M/XjuEj43LL/4nZx3peq9m/zMnnsef/U//CuMTMwH+VPE3H4/v+/jKG1/C733+DeSzWSzPL6JaqQbGKSsAdI4jAXw88pi5S4F2GZTrkwAQQckkYyheY3VlDefePddDAjMGqk4Rnuchk8mIMuXUnsZJWWG+7wtE8cyx5/D8sbPI2hmk9Qzm5uZw4cKFvi2aI/rV0J6UgTBmDluYVJoph9h5doHqGsdxlDvlya4C2Q0gM4Rq/DJjdjodrK6u4sc//nEgOClMcMnnKpUKDh48KCKnVeMk4lCeSrMHgmmBsvLF543+yMKgok1kTbiui1QqBcuyBGMSnO+6roDnyDIgmI/Ki1I/5GogJu90Orh8+XIgajuiiAZRmMW6k+wAtg0Eom63K4LcVO3L5XIgK0f+48cBBBZHrkjzMXFLnI/LcRzM37uFv3/z/0W71eiTPZx/VX7+969dw8l9B3B4fLq34EvxSrJSQuOiID3qi45T4TGBEsZi0C0LPrarjwaLCpnCJUixSTTfYxP7kB8aFeWea7WaMBKoKqqm9dyVhOZaloV8Pi/2JIjH49g3PQ3Eeq6JjuvixvwN3LhxA2tra4/yKkX0EdCuUwuz2WzfSylDbqJTyWIHIHJWCdYjjfq5557DhQsX+orUkBZrWZaIZCeSF0eZuQmylynMH8jHSHCcrusBjVV+RtlyoYwJmg9VVgK1p+jhTCaD2dlZLCws9EH1pHHTXywWg23bYkw0TvLhk7+O5oVgfbofMb6sjPE9IGj8HCGg5xwaGsLZs2dx584dTE9PI5lM4vz587hw4cKONRgienz0JM7z2NhYYCHlljjQHzdA7yAR+ZoLhYI4l8lk8NWvfhXf/va3A5uMARC8ksvlxIKlQjVJAabjXHbI87zT72QyKRbGeDwukDcVQspdfdTeeLioe74vkEWVe4VcCuMTk3j27Kdw+fw5lEulwJxSYTDqI2FZGD1xAqVbt+C528GCtm0jETNw0DqJDX0Rvu6J/UjoWtrrQXa5yKWaqSw0fdL9Y7EY9k3vw8vPn8WNhXnMDh9FUjuGt69+F//xu/9PICA6oo+WdprnR0ot5IwTdgMZZqPANC4QEokEhoeHBdPK2jBZAtxCHjQ2DqmpIDlZCMnU7XZhWRZGR0d78NjDvHu+sFJ/sjVD6IJlWSIVj++lzomExtTUFF599VWUy2WhIXO/m64HdyiU63WTRk5+f9d1RRlWeS7JPcP/ZzKMCAC5XA7JZFJUXCRFY3p6GltbWzBNE4uLi/B9H4uLi6FV3iKKiIjziFyBVG5D7eid1LReBc12uy2UVF3XcWbqED5/8FlcnHwPc4vzgfedLFdyM8qIJFcG5FgeWXZwClNggN5mZOl0GtMHpqElNazeXkW300Wz2RSZVDQ2WXZ4ngen1UImk8FQNotisdgXLEyfJEOPHj+Ob/zjf4KN1QeoVipigeYLOLlVdE3DxrVrgCS3aFO45fZdtLwmDCMh5o3aUIVBSmekcXDUhP6XR48eFVVJqe9cLodTp55BO+4jmcxi8W4MMX8T165dF9kFEX08aE+phbL/Tf5HqiB5AGKx4osjXXv9+vVQwUAw9/j4OMrlcl+w0CDG5W2oT96e6h7wexqGAcMwcPLkSXzhC1/A22+/jatXr2JjY0MII/KrVSqVPgGTSCQE9C7Pheqlv3fvHh48eBCopEZjGxoaQq1WE7nEjUYjYPkTEsErKfq+LyoHkkBot9tIJpNIJpNCCyfritwB1C6RSMBxHHEvSi08duwY/uzP/gyLi4v42c9+JmoKULWwiKEj2oloYeeWOBCejUNtEokE6vW64Cnf9+F7HkasDNZv3sPB7DjmMN93P9oG/MSpk3iwvIzNjc2+TAa6h8pwUI1RGDb2OJr1dfj+dj0Q4rFnf+0MTvzmSdz4/i2sXe7iyntvotGoPbSuY8ikDayulQMuD03bLsG+tbUVWGj5GPnYLpz7BW7duC5gexqHYZiY2vcMSoX7OHzgCA7tP4yf/fwnKBQLATeFZSYwlknA000Uqo2Hwca9MaVSKaTSaZSKRYyMjGBqeho3H6b+kQz0PA+jY6MYHh7B3bk5WJaF1dVVPHjwQARvptNpnD17Bv/0n/5jNBst/PA/38ODLRcLS7dw7fY/RHLjY0Z7DiBUMTE/ryLKy5fz4V3XFQsSMYDMBO12GxMTEzh16lSfX10OHJQt3rBnoE9Z+NAYr127hrffflssktSeUu+eeeaZPoYdGRnB5z//eWQyGbTbbRE8M2hc3W4X9Xo9sLMa0fDwsHBb8PLAHG1JJpMYGhoSmQP8XvF4HCdPnhSZAwcPHhT7EBBxJYwUL+onHo9jdHQU+/btwze/+U1MTk7i8uXLAg1YWlqKAn8i2hNxF1yYmw8IKs+03Tm9m57nwQfwwcZ9tDodDKUyfQF7dK96vY5Tz53G13/nN/sCDbkbgpAD2YWgUk58H/DcFjQtKAdpV8Crf38F1773PhK6jnKxV8iHsnrSaROf/exxJBLxQN8H9h/AH//BH2JifByO4wR2IuX34ONqt9soFAp9rkwAGB07AMtOoVwpYWXtAeqNIMqg6zpOTqfwj85kMJPTxLzSHJiWhd/+vd9FOp0GAHz+C19EKpUK/A81TUM8Fof28BiPJUokEjhw4ABOnTqJf/xbX4NtW7j0iyUs3Gig2Wzg3PVvo1qPUIGPG+3ZTTDI4lUtwIlEAqlUCltbW+IYLVqdTge1Wg2jo6NIpVIiTYW38zwPDx48QDqdDix2fNGjhUweC8FachQugIBVzyE42nlrc3NTWM8cQahUKrhw4UJfTIJhGHj99ddh2za+//3vC2hQZV3I7hV53lzXxa1bt4RwkoUCzQNP/ZP/L51OR1jujuPg1q1bfW4Eggp5hgcdp70Kjh8/juPHj6NYLGJhoZfatbKyEvh/RhTRbojHC8i8IUPimqYhnUzj0MxBXLpxOdCP7/tYLK7hzdsXsG/fNEZGRpRlbD3Pw/l3z2F8YiLQt+/7IlKe+Fv2z9N4aJHc5i8fnXZZtKdzrVYLGxsb2NzcxNL8kkAJuWtvba2E73z3Errd7aJFmqYhnU7hd37rt5HL5fB//N//l4D3ZZ7WNA2arsH3gmPl89LtdnDxve8IF9/S8pK4D8kd3/dxb6OJesvFWnU7rojQ33qthrf//sdwXReVSgX/6Vv/XhSB45vKra2tYX19HQCEQqHrvc2ibNvGSy99GuPjo3Aabdy93oTva7h3/xpuzf98L69NRL8k2nUAYT6f710gLUj8mEqDpZ2tKKBGbhePx5FKpZBOp1EqlQJpeQBE8ArVzJZhRp4KF3gwhb9t0Pe+iVGgD/Spgv11vVe3PxaLoVAoBJ6BoxCmaSKXy4nqafT8tBCTD54zMP2RH46XMuY7DcplTemexMRULIgsD4r25X5cEhiUlfD888/jpZdewp07d/Dee+/BdV1cvHgR5XJ54PxF9NHQkzjnExMTAZmgUs75eXoPc9kc4AMbW8EaFtuQuIHh4WGMjIxgZWVFlMom3qEAZMMwUKlUBE/ywFr6zfl6kOwIc5GqkEZCD3l9Am6g0HPEYjHMzswgFotjcak/TZf6S49YmDyZwb13C/BcD6ZpInXkADIJC2kPuHn9mriGyw2KHyDlh1yatm0D2K42SplEPNshnc6i1XIQ0zWc2j+CWw9KcL1e2ibFF5ByRYaZbdtIp9N4443X8dKLZ3HnSgPv/XQdnW4b/+mtf417y5eeyPf4Saed5nxPMQMqJEC+AWdqekH4wiFbwWSNO44jlIJ2u41GoxEo3BNW5jasGuAg6FHF9GHPqwo84ozPdwosFAp9eciyUtHpdMR8UPpSJpNBLBbD1tZWoH/DMAKBlzQeXnuBlACaS66s0Xde1IRbQbJ7gvqnvn3fx9zcHG7dugWgh34sLS1FGxFF9MikitQH1LU0EkavfLaqHdDjpY2NDdRqNeTzeYyOjqLRaIgNzgjR4+85vzctjPL95bYyOke8K8sGWaGg/qk9lzd8F1HP87CwuChSIfk80ELr+z6alQ5Wr9cEz8dMA+ZnzkKzbNT//ucBxHFsfATjYyNYXFwJPINpmmLslPZHRcU4akr3Hxs+gOXVHqpYa7TEhkyUwUHyjxsr5NK5dOkyLp2/Cbv1KSTiNm7efReLK+9HsuNjSntKLSSSrWWVdk9QM/mSxA0Zs9FiSKkwdJ40U8dxxEur6zps2xabcoQNW17gZQUgTLPni6hqrMTQBP/5fq9gDzE5bfDBBQ8xCo1fHgP1Txo6BRIahiHaGYaBoaEhjI+Pi/0DaA9y2lSIQ3Qq1wRXUGh+6TtZL2QdEJGwovMkNK5cuRLYaTKiXy49ifM+NjYGIPju8QVHhQqk02m0Wq1A0LBcIIfQKyJ6T2OxmEAJKOgtm82iXq/3ZQbxa4lkQ4AvnrKBwK9VyQ6OYJI8NE0Tn37xRVx7/30AEJX+SHkhZI4WVV4YKXAPXYe9fx8014Wzsg7PdQUSq2m9QMCxiXFMPjOFzZUNPLj1AMlUCqlUCutra0gkEsLg4jFQXHnhxdfk+ghU44Dcj9SOjJhYLAZDG8No/LOotwr4j2/979gqLT+R7/AngR4bMkCkQgfok14YeolisZgoh8tfMG6xmqaJdrsdgPdkouspiC4sF1jW7ge5BFT3GXSOMyMFRFJ2hGEYgTxcuh+HBeW+aBEHtrVsblFwJSkejwsGi8fjIrCHW/LcoiINncYkKwocJiXrgIIVaX4BBH43m02srKxEikBEH4rk+Bci4gmeJVOtVoVVTPKEyDRNpNNpsZmOiteoT9/3he+e+815OxnNk+txyG7CMOIWPX9Ojgg0m028d+4cut0ubNsWW4/zfuUaIBxxoEXc9zw4i8sBOdDtdkUGkut6MFMmMtNptHwHifkEJqemoMdi2FhfF/egT+qX5DK5ZTkqKc8rdw9wRYEQSF8vYL11EZdv/CRSBD7mtCdkIGyRBII+KmBbayRLmVLV6IUif7VcbIhIhty4NUu+dn69PDaZ4fmxMGYe5DaQn5cT9w1ya5srB3ScmEb2m8pCkubP933k83nYtg3HcQLVA4kZOURHQpGI9kmgPGEi+l9R0SJ5RzZgW3ARsjM/P6/MfIjol0dPojAdGxvrC3ST0QBaVAhxi8ViIlKeFjjiGdu2hTIuw/ech+k3IV7Ed2Yuia7nwinUxLXyQqyKFRik3PP7hf2PVIgqIRnk4iO+J+WF5icejwsjgZBA6lMufU7z57oupqenkRvPoV5poLRZBADh66d4rFarJeY+kwF8X0OjoSF16BRaW2tolzYCyAHJHNu2A0WGyKAjBLVcLgvjgcoOR/Sro8eKDAxyC8hV6+jTNM0Aw9KLIgcKykzM78kXcV5ilDOGShjsBP1zGoQq7DQHvC0PwiMm5r40rjQA6BNm1Ad9UgVGEhYkPCqViphbuo6EBd1TVoh4VUP5/lxRozmm1EcA2NraihSBiB6ZVJY4lwdcoab2qVRKpOVRW8uyUKvVlLKDo178WKfTCVThdDs95aLLFli5BoG8wPNj8n0HIQW8LR8bPQ8fM/G253mIxxLIpodQqm6Kmihy4TbVbqdkECTicewbHcdWqQTd15BNZuBYbehxA5vry2JuaR4pJdCyNLRaHgANfmkDWscR6CcPNqb70LjI8KFKs+12G6WHlRHn5+cjReAJoD3VGeAkMzR3AVD0P9+4ghZDwzD6dvRTMTPQnzFAVgIAkRLELYvduA/C/vomRg+fGhUKQePmvkVSBug4ABEPwPvhCzR/nvHxcczOzorFPR6PI5vNiqpqfN4JWtU0TaAlFGNBEcKEKHBlhOaTKy8kOEnoyr7biCLaK4UZEvS+0XtM0f88ZZjga74JGFd0ied41D63nMn1JgIKG220Ko1AtD2P7+EyQVYQuLyj/om45Sy7HehTDjAmngQQiBFI2RnMTjwDTdMF/z733HN9fcqIIsH9LzxzCr/xmVdhmxYSehwvPvM8ZmaPwbDSQh7Tc1uWBdu2EY/HsbUFOE4c+2eSaFe30GnW+5QWQiIJMSTkxjRNIfs3NzdF6nixWHy0lyaiXyo9spuAMwW9LDJCQJGy1J4WGV6Qh84Nsub5cd4XFQXi/nC53oCqHxWCoNLwdzM1KqGh63pAW6a+uEbPGYwHJXKBkc1m0e12hWXD6ynQ7mKGYaDb7SKdTiORSKDZbIr0RMuyAnse8AhoHttBO5mR4uK6LhqNBmq1GgzDwMrKSqQMfEzoSXUTyAss3yyH+8IJcqYiPhx2pmqEsottL0gg9WUYBprNZkB2yPUGZKSSy7lBsoOUD1nWyLJAZYjEYjEkk8mHaIgO3/cC80PyjmQduQG5caDrOman9qHb7aBYrfTSCA0LpWoZnuchmUxC13WhXI2MjMCyLFQqlYebjvmYHLexvtmC6/Yjh9zQoc3M+OZGxWIRW1tbsG0bt27dipSBjwk9VjcBEbde6QXgsBf5pGixokWIImbDBiVD7rLrgDMTMYLneQKGl5lrJx+efG/+yfuQj6uYXx4vX/DpPP3msCSwnRJIf9QHBRXxyoDA9kZHRBSoSX8016qgJI7g0OJPqAJXNqguRL1ej/YfiOixEVfkSVbQAu37vsgWIp80d7PRux3WLzcw5EBBbkl3u11kMhmx7wgF6srowm7dALKiw+8vI5DEg7ytLOf4PgAkO4k/KXaA+uObB9EzaJqGjeIWEvEE3G4PEWk0GiJTiea32WwiFouJQmvValWMeXmlHngGCiwk+WGaJjRdh2XZSCTioniZ67piF9NisYhSqbT3lySiXwnt2U3AEQFVwRq+0JAiQAsggACzycThPs6YdF9Za6fd8ugcwYuU1sLHHLZ4yySPTaW9q/riv4mhuT+S5oH2P5AFAsF75BelDIXJyUmxbzvN66FDh8R8p9NpIRQoc4AEBwkT+XnS6bQod5zP5zExMSFyjYHtQCDTNKNdxSL60MQXQ4Kmub9aLkdumqZQBOh9JqWY+FPmU16umCu1dH++qLuui0KhEAjmJZ5LpVLC762y3neSHcR3qmuJH+U54e25QsS3D3ddF8nMONL5fUKJp/Z823LaaMxOWvjUM2dwdPKImFvDMnH0859DLB4HYkBmOgM9pqPVagWUBZpbLjtIgRsemsTMvsOwbRsnTj+Hl1/7EtrttghspqDPZDKJ+/fvR7LjCaJdKwPyy8vLUvJoUh64RgtMu93u270rjKk5cW1ZhuyI8XhADS1mXGEZtHDLx1SMP0gQqBQB+RjPTaY5EWk3krDi0D0pUKlUSlhEhIjQboozMzN48cUXYVkWLMvCxMQELMsKCB2OQMTjcZHKROdt20a1WhXCR9O0QNBgFPgT0eMg4kny3fNKeAACyqzn9fbjqNfraDabqNVqAZRLlgsqGULHuEHBgxMJFQC2U2dlqF2lEITJE7ktPa/qeJjckI/THJFi4zSKaNY2A8/EZQXPOohbGvTJDjbrW2JOu+0OVq5cR7fTwf4X9uOF3/k07CEb2WwWX/3KVzAyPCxiiEhm0ZjymTzeePENDA+NIhHvuQQsy8SdG9fQbreFgUM7ES4sLPTtshrRx5v2vDcBX8CIaWQtXMUwxJhywI3KR6civsDJ/XLYjBZcgh55gSLZ9wYEi58QyWmM8jzIgkEFJXIrhDOsYRiBugJ8LinAiRZj13UxNzfX51qh87VaDbVaTfwfyOfKlS5OJGRpx0XTNIULwDRNmKYpqiM6jhOVHI7osRDxEyEBPGiP8yfxFudnAAGjIywVGeh36RFfknXNz1G/ZEwQgtdqtURQHS9Q5Hke9JgOK59Go1ABfLW7UBVXwGkvsoMUdAAPywebqFarfX2SCwWA8M+7a12c+/E1NBtOYBzlQm/3wvpGHc5KEzEvBj3W2x+BSptzOUvzVq1X8Yvrv4DrufD8Xsnh5YV70LTehmmpVAqrq6vwPA+1Wk25V0REH2/adQBhLpfrXSBpvTKUH6b50ktPaTLc98eFQN8AB1jfnOFoTGTdkg+SIHvu0qDAOpVFEWb9cy15EIUxOTEVh95o7jhEygUJjy9QCZ5YrLedMt/dkI9TdX+aJ9u2BaJANcsdxxFMvLy8jFqttuPzRvTLpSdRwE5MTIjvFDRI/M6VcXo3OfHFlQrhkJzglnxYPX/+qeqfzpGiTm46khcE2buuC03XkJ4cQnWlAN9TI5qqeAA5zoHzueo4v55cizR3ctYSuRZ5cDB8wPVcEZgsG2FkOCRTSSTtZGDHQRWKwWWXrusYGRmGbSeRTqeR0fJoaU2U6yXcu3cPntfb9bVQKPTNTUS/WtpJdjxyaiHtF67ykQ1SCOi7PEgVc6geQEYSuCuAowQAhP+KFkxiCIIcZRhP5VZQLaw7/Zb74lCm2IaVPS/9phSfXC4nIrBzuVwg/oH6J4F68OBBgTaohCFPg6IAIMMwcPr0abGx0oEDB2AYBmq1mig0FAUNRvS4SHaHdTqdvjojHJ7nfCkrzqrUvLCgQnkMsruR9+V5XmCnUaq+l06nkUwme+ie56P6oAAN21lTXHbIyKUqPkAeO52n37weAh8boRiq1GDP8/Dcc8/h+eefx5GxaTy/7zB0XcfU/v2IP9zHhI8rkUggnojjy199DWMTI6J0s2qs9AyUcZROp/FHf/i7OHToAIyYgbP7PoNUIo1CoQDDMFAul0UAYURPFu05m0C2pvkLzhd1epHkIiAqC3uQxhKmIIRZ4MTUvu8L/xnlKhP0x+FDlZYuB93Jz7mbscrKD92LXBfyPFCwULfbFUVWAIRWWCSrwLZtJJNJlEqlwJi5tUCIDB2nLaW3traQy+WwsrKCUqkkkBW5r4giehzEF27ZYueLtfzuEv9Qho7cJ8kaXolP7ltuD6DPYiYkgKxxim0wTROZTAaNRiOQ9cDvpXoWeRy8nQot4OPjfdBzU7qyLDsMw8DCwgJarRaajQZ07aHR02hAV8isbrcLw0ggP5TDyOgwbt280yf/6PlJZtEz5HI5nD9/BXfvzWNsbBzX6xewXFwS1QzJVRDRk0d7chPImizXIGW4HtgObiHizM3jDHg8gGw1809ZCZE178CDadvFj7hCQNeRdUL35/3I91FB9FwpUjEyb8vP0Xjke1IglWoL4jAUgvpTzRGhB3xuOTIQj8cFEkGBn61WC6urq1heXhZKU0QfL3oS/yfj4+PKmCJa9OkcRwV4+WFgW3YQ7/JgQFl28PvIljgd424z1WJt27ZYfDudjgi6HR4aRrvdwv3l5T4ZwJV+lbyQjSZ6Zr7wq9BT7ibhadv0Z1kWNE1Du90BEDTI5HFwmWlaJh5KDqFMURueycD/0um0yLrIZrNot9uiKNnt27dx7dq1aP+Sjynt9D/ZNTIga6NhcJcqEpfaqK5XMXuY1qxCFOT++YJOCIFt2wFtntdA50gCjVuOXSDhoQp4Uo2TvqvGpoqLACAsENu2RWGVsGfl/fPUTj4GnqcMBGMW6Dft+NZqtcRmUZRrHFFEj4tkNADor9Ov69tVRIkPOT/KCyX/PUh28Pvy+3NUgKML9NtxHLiui1wuB8/zRNBuoVhAq9XC2NgEarWKWPho7KoAx0Q8gaRlo9qoBdAPlRwJU2B43/LzdLtdJFPjsJInUau+A8/d3iWWk4xYdNqdgHuDzz0hq1ymUuyCbZoYyefhohfE3Gq10Gq1sLGxEcmOJ5geOWaAiGvj9FuuEcA1YR7Ip3pxwmIHgHCXAZ2T/YIkSBqNhihSRCmI9HLLfr+JiQmBIHAieF0WXlyI8PFTrrIMUapQA36PnVAOFcmKgHyc+s1ms6L6GBVdoX0PHMfBxsZGYLvpiCL6KIj4gssCYLtWAPeLy+jAoP0xdpIdKmMC2Fac5SqgruuiVCqh2+2K2J2eq8DAK6++gXQ6G8jkef31Lwr+4vdMWjYOTR8Q96OaIqRAyEiobdt9cUI7yY6ElYAe04WLgBsFtOOpSq6oYjDoOvqMx+MYGxtDJpOBrut4/tgxZC0Lm5ubaLfbqFaruHv3rlCYIoXgyaQ9pxbKFi8/p/J3kbYuL4p0nQpa5+dU45CPh42Dn6eoYNM0A24CsvpJ+FCKjqy5d7tdVCqVPotEfm6aH1mLVz2f6hkoEJDPNykelAYl/x94qVDua+XKBd/1jPYsoCCubrcrcrllRS6iiB4HcYUb6E/pJb84dxOSm0s2JsIWfH6v3by/vG+ZTzlP1+t1tNttUXq31WrhZz99E51OK1AR8MGDlQAaR1Rt1PD+3RsB3uVKjRxbJZcQ31F2wEcs6aO+8Q48rxVoR4oHr1TI5QJVJOTzTfKC7k9t4vE4MpkMbiwuolqrCRm6ubkp0pXDkM+IPv60a2VA9s2FwVl8AeULlBwjQG34NXwxDdPy+fkwHz33w/FrXNdFs9kU1f1IABESQMWR5AWXEAUq/iMrMSoBsBMD82P06TiOEj70/e0iTyp3gNwn3wGOV2Qkq8PzPFEQJBaLoVgsiqBFstgiiuhxEr2vXCaoFmAi7r+WUUa5Ty4LVNYv/5PlAr3vXOmWj5HxUKlUkEqlYFkWms06DCMhrOVGo4GFhcXAuDRNQzqZRVyPo9muoc2KjfGxEG+qnjEMDQg8k+ejeH8lEKPFn5eCDmUUVJYh/DjJjlQqJdIXyWVSKpcFYvDgwQNR62Qn5CaijzftWhmQ/WtE8osrn+NwoErrDuuDa8uypRxGMqPTp8z87XY7UP6XihRpmiZ236JSx/Tso6OjKBaLaDQagTQcWfEgGjTOsHNhShApG7lcDrVarU9AqOIGOLOTpk+IBa9oWC6XRe1yqo4YKQMRPU7iCwxfsLk1LKN6XHaQ24CukdsTEZ/QvVQGAecXTnQvrtirjI56vY5EIoGxnIWMGcNSsS3g/qnJKZimidt3bm+XWtbj2D92BGa6hRt351B9WLuD++Zl2SHHU/CxqAwwLodk48DzPFjJJA7NHsLcvdsBZIWMNFlW8NgNvpGZ4zioVqvCsFtfX0ez2USpVBJIYyQ7nlzaU2phmPYtt+FtORSnQgZUcJ6MEISRrCmr3BSq8ZKl7ft+3z4BfGGlfprNJu7fv68UJCqkQB6f6hyd59fyNEDfD1ZWTKfTME0TtVpN9EtQHik2AAKKDVd4AIjSxlR9sVqtotlsCkaWc78jiuhxkKwIyHwLBBc+akvvvxxbwPlF7oci4OW2slIgj4+3lwt30SJL59rtNjbLHrrpXv0B7WG7SrUCq2MFFJJqs4zrSxcR03V0mNXMZVSY6yNsnFzZp+eizZxM0xSuPwDQdA3mqaPImUPQ5+fga75Y5GnRpwBr2Sii+goAkBlJoF5tiZii9fV1lMtl1Ot11Go1NBqNgdUhI/r4057cBMDu/HGcAXkg0E598/7DFlCu/Q5CJYjo/jIUR2Nqt9uIx+NIp9MikE6ONKaUPNmfr7I85HHxZ5LHF/YcXPhRv47jBGp986wA27YB9NwM9Jy0E+Hw8LDIl9b13qYkuq6jVCqh2WyKZ6bo6YgietwklwuX0Tv5O53naIDqGk6yzCGrVz5HFq9snKgMBtmNSPfXNA2droetSgO2ZeF4Jod1r4uth4si35TNMAxYuo9SvRlY9GXUU+Xa5HOhkh1cYaLnpsJE1Camx9D94C4uux5czw08Rzwex/DICLqdDqrVaiD12DRNvPzZF7G2vonNQgHxpA+s+9gfm8F7yxdQLBfR6XRESfTIPfDk055jBsJeWBUzDUIRwnxh8vVh8LusNITdg49R1qaJeIUvCsbji7HnechmsyKaWJXPTPcyDEMZka8SfGHWEm/DNX9a4DnSQn5CXgSFNH8qIAT0BAPt1OZ5ntDkacexSBGI6KMkFb8OMjA4n3MKkwtyG/4pf6ffYbJDRhh5jRK5n063i4rvodnpiLLeXHb4voeDQyk8SCSwUan3VRCkPm0zjv2TWdyc31LOg/xbhvtlecoVhFbTgZlOwIgb8DqeOJ4fGUZ+dBjzt+fENRQLYBgGzl+4DPehYrV8roDD+gFktBRq5aowTmiTs4iefNpTNoGsCKgYm7dXHefnBt1Ldd9BfYb1wxfaneoXcB8axRKQll8sFoXVLV/Pg5xkqGyQwqQaB/3Ztt1XYjidTovFm9pR1TTuKgAgsg8ILaDa43SMIoEjRSCij5p2iqtRLcyya1G+Rr6ePuVUObmvQWnNvE8OxQPo4xGxeGoa7EwGlYqHTqsljIlOpyP48dp6TUDyvFw6sL3fQKvjYmG1Ejo/YSiKHCek6zqy2Syq1WpAKckeSKFd6KK23hTGQrlQRLlQFEHG9EyJRAKtVkuUJ280GnAcB5e7V1Gv1lFuVCJE4BNIu64zIDMmZ8CwP2Ab4lNdOwg5kF9+eeHeCTaU/Wpc4Mj35VoxENyKmT5N01SOhwsYel7ebpDQ4UU+VOflcVUqFZEOSccNw4BlWcjn82JPc/IbkmJCVQY1TcPQ0JDQ6vmmLxFF9FERDyCW/+Rzct0BOjbIqJB5mivpXA6EBUGr+pPdCWGyQ9d1WIkE4rG4MAYo84eqeFLtAVlZ4c/meT6aTicg1wYZPWTB9yEovo+0ZSFlmWLR13UdxQ9qaG61A4GBlmUhnU5jampKyI9kMtkziLQEEnoCB9Kz6Ha60EwNw6+MYL2ygXK5HCECn0Dak5sgTDsNayfDdbt50VWMLbscBsF/ciSwTKqgI9/vBQlyuI1fS3442vCI4HU58IcYXxVVKwsi+Tr+nXx2tGkQLdg8PYjG77ouMpmMYMxkMimqgpmmKax/+iyVSiJzYLcIS0QRfRiS41/CoHlZdsjKwU7yI0x2AP3xOSo+59eTe4D3oZIdrufhxv0lgQjQmOk8IXLpdBq2baPZbAo0Tn6efVMT2CqU0GR1BmjsKjnYF4fl+3juyEF87uRxtDodfPfcRWyUKkq3ItCTawcPHUKpVITv+8hPjWLj/iraTgfPnX4Bly+/jXq1jkqlglqjhtXNVZRKJbRbUanyTyLtuehQGO3FJ8fbqCA9up/MqGGLNYC+AEEV4/Lf/HrOvDzYiecak5+dcm+HhoZEoR4aD92TbzUqCyeVIOOWDABR3ETTgjUDVBBmIpFAPp9HuVwW1j/BNFI4QgAAD8BJREFUelQsZW1tTbgTyFqJmDmiXxapeHyQQUC8xNOLqZ/dWs5c/pA1LJ+jfnglQKBfdnB4X16IKQKfvlNfdDwej6Pb7aJUKsEwDIyNDmNm+jDm5ldFPA+hI7oeQzwRh9YKygP+qZoPeoZ4LIYzhw4gaZlIxOOwDFPsZ8D7oD87aePFz7yE937+C1SqVehGrLfwV6r4ux9/G/V6DVfLl9HtdsVOphGS+MmlR0IGVBY6EV/wBkFxvN+w4zI8pyIO56liAvh4uCIhj5ErE3JNBA63UQlf0zRx4sQJxONx3LlzR6To8X0O5LHwCGBV0RWueMRiMRFsRAKFox6a1osGTiaTqFaraDQaaLfbWF9fD+T8UiYB1RCIlICIftmkgthVCimPwpeD4ohUPCMTdztwvpNdlhRkK6cuUr9ywLEc8Cu7O8lNwO9Du/lRgPLmZgGZTBq/9/u/i3g8ju9+57vY2iqg0WhgfXNL8L6MalAased6MGIJeHrv2QgR1HUdeiyGzUoVI7kslreKKNTqYpdF6pMUB8MwkMvmcP7cOayurvY2Grp1C/V6XQRJE4JIcUqR7Phk0653LUyn033w2yCILXAT2a81aECsH7kymMy0ZBnL0FzYvVTwoXzfsHa0+ALbGnoqlcILL7yAmZkZVCoVXL9+Xez4B/RbGNQf7TPA25HgIWblWx1zAUH5wbZtI5FIiCJCtVpNoAGkCHDYMioG8smgJ1EgDw8P98kHlfXN0wFlNI0fUxHvn8sOvuBzq1bXdViW1Rf9L8sQ2RjhMkFWNuRx8MWc74PieR5GR0fxz/74n+HkqdNYWlrC9773Hbx/5X2x8RF3UfD+h4w88uYQFhuLYgw8JsK2TAxlMijVanBabXF/SpFMJBLIZrOwbRuNRgO1Wg1bW1uo1WooFApikzSaF5JBET35tJPs2LMyoNLs6bgKxgrcjP1WafZ8MeSbhhBkLqfl0OI8KJ5BFiRh6AF9lxEBIAitcSRC03qlik+dOoUjR45A13VcvXoVCwsLwk8vzwmv/61CJkzTxMTEBNbW1h7uO26IxZy2Hc7n82I/gUajgUqlgna7jVKpFNDgn8SFI6LB9CT+T4eHhwMLmpyay1E3IpUCICvx8jla8Mg6p0WYLGi+6NMOfLymiHxfWTlQpRTLCCBXALjyTn98j5BMJoPf+NrX8NlXX8bd+jIu/fQyrr9zDpVKRcQw0T1JDpL847KDCotZWQtDz4+idHEL3VYXqWQS3U4H7kMDJJPJYHJyEu12G4VCAcViEevr63AcBw8ePBA7lj6J71hEO9NjVwZ4x7JmPAjWk7+HEYfSAQgmIm2Z+uFoAR0LUwpkaDFsLCpkQIbmuRXDnzudTmN2dhZjY2NIpVJ48OAB5ubm0Gg0AmOnZyFG1zRNzC3Biul0GvV6HfF4HENDQ0KQ+b4vIDuC/6vVKur1OsrlcgTlPQX0JP5/SRkAgrE1nI9Vi1CYQkD9yJY7KdSdTkcsnhyi54sqLcpA/6Zk9CkbCSp3Bx+L/MdTkXmJXyruI6z9kWEcf+EMTn/qs9C0Iu5dOYdLv7iDUtmB53Z70fxMGSCFR9M0TOXS6CZMeD4Qt+NIT2XgrDRhJAwcn5xGp9tFbGgfqpV1lEqbqFZ7NQJ6LotNFAoFrK2toVIJpjVG9Mmjx6YMZLNZ0aHMGMToYVD9bpQAIKgIqHz1MmSvclUEHm4XC37YeZ6Cw5k6THOm9sPDw8hms0ilUsISmJycxPLycmBvAy4wxsfHReZAq9VCMpmE5/U2E2q322i1WkKh4PdutVqoVCrY2toS8GJEn2x6Ev/Ho6OjYkHl1jXxF1f+5UVYteiqiPhURgUomI8UEDoupyuqXAQyqRQB2QjhaIBhGIH0PzkWicuaeDyOI0cPITeSx0TGwVZqDL6XwOiwjc5yBcWtKjYLBXQ6HcRiOiamegpWzo6jMOshc6GJSsLCiaNHUK7WsLy6imajgVq9Dk3T0W63AqmAjUYD6+vrWFxcRLlc3tX/MaInmx67MgCoo225ts/PycdCB6L1B/oRUwEILIRcERh0PxUiEDYumZnpmUhgkTVBfn7qV1YS6DksyxJ5/6OjoxgZGUG328Xa2prQzCkokO5BKYtcuVIRja1Wq2F9fV3AexF98ulJ/D+PjY2J79z9R++97B4Is86J5DngCB0ZJIQKUFAf3ZOOyXC//D2MB8PcCPSd4oF4KWPa/CzMhcdlB2UrpbNZxOMxTEyN4fiBQ9AQx/VbH6DRaKDVasFOJuD7QLPdgWd70LbaqLc7wnVK86xCMzzPQ7FYxO3bt7G5uflEvlMR7Z0emzKQyWSUncrKAB0L3GTAb858XFAQY2iaFgj+4Qs1vz5Mq1fBf2HjIg1dhjJJQSCFAECfD1LuT9d1UWyEUhLpOvmesluCWzGyJULU6XSwvr4eMfNTRk/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-      "text/plain": [
-       "<Figure size 640x480 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "#try running the model on a slice\n",
-    "from stardist.plot import render_label\n",
-    "from csbdeep.utils import normalize\n",
-    "import matplotlib.pyplot as plt\n",
-    "\n",
-    "img = darr[30,3000:5000,3000:5000].squeeze().compute()\n",
-    "\n",
-    "labels, _ = model.predict_instances(normalize(img))\n",
-    "\n",
-    "plt.subplot(1,2,1)\n",
-    "plt.imshow(img, cmap=\"gray\")\n",
-    "plt.axis(\"off\")\n",
-    "plt.title(\"input image\")\n",
-    "\n",
-    "plt.subplot(1,2,2)\n",
-    "plt.imshow(render_label(labels, img=img))\n",
-    "plt.axis(\"off\")\n",
-    "plt.title(\"prediction + input overlay\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 128,
-   "id": "d7122e34-9628-4718-80d3-7127950e7e84",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# note: _ contains coords, points, prob)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 191,
-   "id": "a60c822d-2ef9-4faa-86c2-a253e335bd83",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "chunkdim=200\n",
-    "max_intensity=30000\n",
-    "#now let's try with dask\n",
-    "def stardist_2d(x):\n",
-    "    \n",
-    "    labels,_=model.predict_instances(np.clip(x.squeeze()/max_intensity,0,1))\n",
-    "    return labels.reshape(x.shape)\n",
-    "    \n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 192,
-   "id": "1182da56-d33a-4394-a463-1dff4ae9fae8",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table style=\"border-collapse: collapse;\">\n",
-       "                <thead>\n",
-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 165.43 MiB </td>\n",
-       "                        <td> 78.12 kiB </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (2, 7169, 6049) </td>\n",
-       "                        <td> (1, 200, 200) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 2232 chunks in 5 graph layers </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> uint16 numpy.ndarray </td>\n",
-       "                    </tr>\n",
-       "                </tbody>\n",
-       "            </table>\n",
-       "        </td>\n",
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-       "        </td>\n",
-       "    </tr>\n",
-       "</table>"
-      ],
-      "text/plain": [
-       "dask.array<stardist_2d, shape=(2, 7169, 6049), dtype=uint16, chunksize=(1, 200, 200), chunktype=numpy.ndarray>"
-      ]
-     },
-     "execution_count": 192,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "darr_labelled = darr[30:32,:,:].rechunk((1,chunkdim,chunkdim)).map_blocks(stardist_2d,dtype='uint16')\n",
-    "\n",
-    "darr_labelled"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 193,
-   "id": "caab3948-4eac-49fc-9d5f-308ac39b8cbb",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[########################################] | 100% Completed | 142.65 s\n"
-     ]
-    }
-   ],
-   "source": [
-    "with ProgressBar():\n",
-    "    arr_labelled = darr_labelled.compute()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 194,
-   "id": "dd3e521c-7907-44c5-8d18-70012aea25e8",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Text(0.5, 1.0, 'prediction + input overlay')"
-      ]
-     },
-     "execution_count": 194,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
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",
-      "text/plain": [
-       "<Figure size 640x480 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "\n",
-    "plt.subplot(1,2,1)\n",
-    "plt.imshow(darr[30,:,:], cmap=\"gray\")\n",
-    "plt.axis(\"off\")\n",
-    "plt.title(\"input image\")\n",
-    "\n",
-    "plt.subplot(1,2,2)\n",
-    "plt.imshow(arr_labelled[0,:,:])\n",
-    "plt.colorbar()\n",
-    "plt.axis(\"off\")\n",
-    "plt.title(\"prediction + input overlay\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 195,
-   "id": "00bfe84a-af38-4581-bbf6-3710482fa6a2",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#save as nifti to overlay in itksnap\n",
-    "import nibabel as nib\n",
-    "nib_img = nib.Nifti1Image(darr[30:32,:,:],affine=np.eye(4))\n",
-    "nib_img.to_filename('test_img.nii')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 196,
-   "id": "b528cf71-fa39-4466-9d51-8007f4dea0d5",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "nib_lbl = nib.Nifti1Image(arr_labelled,affine=np.eye(4))\n",
-    "nib_lbl.to_filename('test_lbl.nii')\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "a10a9d34-e501-4792-938f-57af9ead8ecd",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "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": "3.9.5"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}