auv-csv-zarr.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "db2902f3",
   "metadata": {},
   "source": [
    "## CSV to Zarr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "d2cefc24",
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.simplefilter(action='ignore', category=FutureWarning)\n",
    "import fsspec\n",
    "import xarray as xr\n",
    "import os\n",
    "import glob\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from time import sleep\n",
    "from functools import partial\n",
    "import time\n",
    "import numcodecs\n",
    "import zarr\n",
    "import dask\n",
    "from tqdm import tqdm\n",
    "from dask.distributed import as_completed\n",
    "import s3fs\n",
    "import gc\n",
    "s3 = s3fs.S3FileSystem(anon=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "5090dbdb",
   "metadata": {},
   "outputs": [],
   "source": [
    "# %%time\n",
    "# fs = fsspec.filesystem('s3', anon=False)\n",
    "# all_files = fs.glob(f's3://vhnguyen/IMOS/AUV/auv_viewer_data/csv_outputs/Ningaloo201203/*.csv')\n",
    "# datasets = []\n",
    "# for i, file in enumerate(all_files):\n",
    "#     s3_fn = 's3://' + file\n",
    "#     with fs.open(s3_fn, \"rb\") as f:\n",
    "#         df_metadata = pd.read_csv(f, nrows=1, parse_dates=True, infer_datetime_format=True)\n",
    "#     with fs.open(s3_fn, \"rb\") as f:\n",
    "#         df_data = pd.read_csv(f, skiprows=[0,1], parse_dates=True, infer_datetime_format=True)\n",
    "\n",
    "#     df = pd.concat([df_metadata, df_data], axis=0, ignore_index=True)\n",
    "#     df.ffill(axis=0, inplace=True)\n",
    "#     df = df.iloc[1:]\n",
    "\n",
    "#     # Convert 'time' as object to datetime\n",
    "#     df['time'] = pd.to_datetime(df['time'])\n",
    "#     df = df.set_index(['time'])\n",
    "\n",
    "#     # Convert to dataset, set 'time' as dims\n",
    "#     ds = df.to_xarray()\n",
    "#     ds['time'] = pd.to_datetime(ds['time'])\n",
    "\n",
    "#     for var in ds_chunked.data_vars:\n",
    "#         # float32 to save memory usage\n",
    "#         if (ds[var].dtype == np.float64):\n",
    "#             ds[var] = ds[var].astype(np.float32)\n",
    "#         ds[var].encoding = {}\n",
    "    \n",
    "#     datasets.append(ds)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "1247b116",
   "metadata": {},
   "outputs": [],
   "source": [
    "# def export_zarrs(store, datasets):\n",
    "#     for i, dataset in enumerate(datasets):\n",
    "#         if i == 0:\n",
    "#             dataset.to_zarr(store,\n",
    "#                         mode='w', \n",
    "#                         consolidated=True)\n",
    "#         else:\n",
    "#             # appending\n",
    "#             dataset.to_zarr(store, \n",
    "#                             mode='a', \n",
    "#                             append_dim='time', \n",
    "#                             consolidated=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "d468317f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# %%time\n",
    "# # export to local storage\n",
    "# store = '/home/ec2-user/SageMaker/notebooks/Zarr/csv/output.zarr/'\n",
    "# export_zarrs(store, datasets)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "6ad2a9e4",
   "metadata": {},
   "outputs": [],
   "source": [
    "# %%time\n",
    "# import s3fs\n",
    "# s3 = s3fs.S3FileSystem(anon=False)\n",
    "# store= s3fs.S3Map(root=f's3://imos-data-pixeldrill/viet-test/csv_zarrs/', s3=s3, check=False)\n",
    "# export_zarrs(store, datasets)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d254eb8a",
   "metadata": {},
   "source": [
    "### Open zarr"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9c033893",
   "metadata": {},
   "source": [
    "Source CSV: http://imos-data.s3-website-ap-southeast-2.amazonaws.com/?prefix=IMOS/AUV/auv_viewer_data/csv_outputs/Ningaloo201203/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "e200a5af",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 250 ms, sys: 33.4 ms, total: 283 ms\n",
      "Wall time: 683 ms\n"
     ]
    },
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:                                 (time: 229563)\n",
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       "  * time                                    (time) datetime64[ns] 2012-03-03T...\n",
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       "     geospatial_lon_min                     (time) float32 dask.array&lt;chunksize=(6746,), meta=np.ndarray&gt;\n",
       "     geospatial_vertical_max                (time) float32 dask.array&lt;chunksize=(6746,), meta=np.ndarray&gt;\n",
       "     time_coverage_end                      (time) object dask.array&lt;chunksize=(6746,), meta=np.ndarray&gt;\n",
       "    abstract                                (time) object dask.array&lt;chunksize=(6746,), meta=np.ndarray&gt;\n",
       "    altitude_sensor                         (time) float32 dask.array&lt;chunksize=(6746,), meta=np.ndarray&gt;\n",
       "    ...                                      ...\n",
       "    sea_water_temperature                   (time) float32 dask.array&lt;chunksize=(6746,), meta=np.ndarray&gt;\n",
       "    time_coverage_start                     (time) object dask.array&lt;chunksize=(6746,), meta=np.ndarray&gt;\n",
       "    up_left_lat                             (time) float32 dask.array&lt;chunksize=(6746,), meta=np.ndarray&gt;\n",
       "    up_left_lon                             (time) float32 dask.array&lt;chunksize=(6746,), meta=np.ndarray&gt;\n",
       "    up_right_lat                            (time) float32 dask.array&lt;chunksize=(6746,), meta=np.ndarray&gt;\n",
       "    up_right_lon                            (time) float32 dask.array&lt;chunksize=(6746,), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-4a183682-a1d3-440a-9702-ba76ad330c8b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4a183682-a1d3-440a-9702-ba76ad330c8b' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 229563</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6b50f9b3-c32d-47b7-8ed3-11f8177635e0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6b50f9b3-c32d-47b7-8ed3-11f8177635e0' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2012-03-03T06:33:55 ... 2012-03-...</div><input id='attrs-c79c7ca8-e4d3-4296-80ab-cee5b28c45ed' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c79c7ca8-e4d3-4296-80ab-cee5b28c45ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ba67669-b712-4183-b77f-f0684dc0aa89' class='xr-var-data-in' type='checkbox'><label for='data-1ba67669-b712-4183-b77f-f0684dc0aa89' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2012-03-03T06:33:55.000000000&#x27;, &#x27;2012-03-03T06:33:56.000000000&#x27;,\n",
       "       &#x27;2012-03-03T06:33:57.000000000&#x27;, ..., &#x27;2012-03-12T08:50:49.000000000&#x27;,\n",
       "       &#x27;2012-03-12T08:50:50.000000000&#x27;, &#x27;2012-03-12T08:50:51.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-03859de9-b727-4b7a-969f-c60cb66121ad' class='xr-section-summary-in' type='checkbox'  ><label for='section-03859de9-b727-4b7a-969f-c60cb66121ad' class='xr-section-summary' >Data variables: <span>(43)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span> geospatial_lon_max</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(6746,), meta=np.ndarray&gt;</div><input id='attrs-bd4b96c9-ff4d-4e7d-9f24-f2dc0ce60d76' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bd4b96c9-ff4d-4e7d-9f24-f2dc0ce60d76' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a55dd999-1827-44f9-a0f9-ba2eeca988dc' class='xr-var-data-in' type='checkbox'><label for='data-a55dd999-1827-44f9-a0f9-ba2eeca988dc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
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       "\n",
       "  <!-- Text -->\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-5c7d2357-0c73-4fd9-a7be-c970fecab155' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5c7d2357-0c73-4fd9-a7be-c970fecab155' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:                                 (time: 229563)\n",
       "Coordinates:\n",
       "  * time                                    (time) datetime64[ns] 2012-03-03T...\n",
       "Data variables: (12/43)\n",
       "     geospatial_lon_max                     (time) float32 dask.array<chunksize=(6746,), meta=np.ndarray>\n",
       "     geospatial_lon_min                     (time) float32 dask.array<chunksize=(6746,), meta=np.ndarray>\n",
       "     geospatial_vertical_max                (time) float32 dask.array<chunksize=(6746,), meta=np.ndarray>\n",
       "     time_coverage_end                      (time) object dask.array<chunksize=(6746,), meta=np.ndarray>\n",
       "    abstract                                (time) object dask.array<chunksize=(6746,), meta=np.ndarray>\n",
       "    altitude_sensor                         (time) float32 dask.array<chunksize=(6746,), meta=np.ndarray>\n",
       "    ...                                      ...\n",
       "    sea_water_temperature                   (time) float32 dask.array<chunksize=(6746,), meta=np.ndarray>\n",
       "    time_coverage_start                     (time) object dask.array<chunksize=(6746,), meta=np.ndarray>\n",
       "    up_left_lat                             (time) float32 dask.array<chunksize=(6746,), meta=np.ndarray>\n",
       "    up_left_lon                             (time) float32 dask.array<chunksize=(6746,), meta=np.ndarray>\n",
       "    up_right_lat                            (time) float32 dask.array<chunksize=(6746,), meta=np.ndarray>\n",
       "    up_right_lon                            (time) float32 dask.array<chunksize=(6746,), meta=np.ndarray>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%time\n",
    "zarrs = xr.open_zarr('s3://vhnguyen/auv/sample_csv_zarrs/')\n",
    "zarrs"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4e798210",
   "metadata": {},
   "source": [
    "### Plotting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "45c71d72",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 98.5 ms, sys: 38.9 ms, total: 137 ms\n",
      "Wall time: 472 ms\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f2f804a63d0>]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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pETWBBEBdsgkhhACg4Ig44XC2mh8zPJYAPa63TKImkACo1xEhhBAAFBwRF7zP8NS/38GcYvvjSh8biZpAWoMjg63XkZGOECGEkJBGwRGpRxy3+HMr/5GLpcLHclhWEx88C4gzR7SsRgghoYyCI9Ior48PcXJZRpNInx/Xn+xNIOvWHFHmiBBCQhkFR6Qev/Q5cnK3Pi0T7I8rfWxUP3Oko4JsQgghFBwRF/xZOO1wLIkcCrJtfQr44MhABdmEEEJAwRFxyh99juoHP0xmTSD5IejqLKtRE0hCCAltFByRRnmb4XF2N38UevuTyWINguxb+anmiBBCCAVHxAlx3GLyMnXkNDhi4o+lD45ssZG9CSTfIZu28hNCSEij4Ig0ytvVL6fLaqKP5bCsxmeOtPUyR7SsRgghoYyCI1JPoIIYx5ojvz2sVxhjQuBXt8+RkZbVCCEkpFFwRBrlzyaQzOF6aTNH4qBPW6dDNtUcEUJIaKPgiNQjDlz82slaRmermZwER9QhmxBCCEDBEXHBv5kj+WzlF+/C02msvwZCzREVZBNCSEij4IjU47j85d0SmLOCbDGpm0DmlRqFj2312DDQVn5CCCGg4Ii4wZssj6ut/BaJV674JTTrx9agSNjKT8tqhBAS0ig4IvXUDWz8VR/EZFRzdLmspt5l9g7ZlDkihJBQRsERccmbLI+z0Ee81ObXQm8vXKlsODgKpczRmgMXsf5wrtTDIIQQWdFJPQAiP3VrjLzJ8jirU3JYVpM4c5QYFQYAiLAFRIB4t1poZI7yy6rxyH/3AQAev74DxvdojjbNoiUeFSGESI8yR8Qlr2qOXFxmlrhBdq2tC2XTmDDhslA7eDb7cqXw8ZsbjmP04i0SjoYQQuSDgiNST924xZslMNcF2dJGR0UV1mW180VVwmUGXWhlji6XGx0+rxVFrGXVtbjvs90oqawN9rAIIURyFBwRl/xXkC2fPkeHL5TWuyw8xLbyF9YJjsS6P/8rNhzNQ8/5vwZxRIQQIg8UHJH66u5W8yqQqX+f347lCx9LXXPUMz0OANAkSrSspgutguyC8vpF6YQQQig4Im7wV58jMamDI35OLRIjhcuEgmyTWfKz34JhVJdkqYdACCGyRMERqaduWOCvgmxfH9Of+LPVdLZz1QB7h2zGgBqz+rNHUn8PCCFErig4Ii55k+VxnTnycjB+YrIVH2tFwZG4a3YoLK2ZnDSwKqmqlbxYnhBCpEbBEamnXp8jr5bV5H22Gh8Y6LX24ChMqxHOWQuFLtkmJ/0UHvnvPvwuqg0jhJBQRE0giUuBCGSkXtLhn1+rsb8/4DgO4TotqmrNMIZE5qj+92Dz8QJsPl4gwWgIIUQ+KDhSgcJyI/7z1xnc0jcdGU2jfH68+jVHvj9GXVIHR3zWpG6GK1yvQVWtWdHb+dcevIjZK/YhMSoMKbHhiDboEB2uQ5RBh2iDFlFh1s8Xbzwh9VAJIUSWKDhSgSe/P4iNmfn4bOtZHHphtN8fPxC71aTeDLbmwEUAwP9OXHa43NrrqFbRNUezV1iPBCmqqBGaXfoi46l1OPzCaEQb6OWCEBIa6NVOBXKuWLs8lxlNfnm8uoGLVwXZLnJH/mos6a0/T152ernQJVvBNUdaDQezhaFZjAGvT+mBCqMZFUYTyowmVNj+FZQbsXLvBbcfs9tzvyD7lfEBHDUhhMiHogqyt2zZghtvvBGpqangOA6rV692uJ4xhmeffRbNmzdHREQERo4ciRMnHJcOioqKMHXqVMTGxiI+Ph4zZ85EeXl5EGfhf83jwoWPawJwLphXS2CudqvJdEeUGrpk89+vMK0GwzsmYXyP5ri1fzpmDmmNR0a0x7xxnfHWrb2kHSQhhMiYooKjiooK9OzZE0uWLHF6/WuvvYZ33nkHS5cuxY4dOxAVFYXRo0ejurpauM3UqVNx5MgRbNiwAWvXrsWWLVswa9asYE0hIP7IshfQnirwPdDjsz78zq1AZHmk3q3WEINe+V2y0+IjAAD3DM7w22NOHdjSb49FCCFyp6hltbFjx2Ls2LFOr2OMYfHixXj66acxYcIEAMBnn32G5ORkrF69GrfffjsyMzOxfv167Nq1C/369QMAvPvuuxg3bhzeeOMNpKamBm0ugXIstxSdm8f65bF0Gg61ZubdwbMurpd6Wa0h4So4fLawwnpmWtNog98eM7ek2vWNCCFEJRSVOWrMmTNnkJubi5EjRwqXxcXFYeDAgdi2bRsAYNu2bYiPjxcCIwAYOXIkNBoNduzY4fRxjUYjSktLHf7J2bFLZT4/Bh+3aGypo4AcHyLTxIwaltX4rNfJ/MaziN3S7EF0sxgDvrt/EH6ZM0y4bFLvNLw4sRsA4EJxVQBGSggh8qSozFFjcnNzAQDJyY7nRSUnJwvX5ebmIikpyeF6nU6HxMRE4TZ1LVy4EC+88EIARuwfdbeiH73kv+BNp+FghHdZHpcF2TKpOXp1cneHz/ku2cYA1G4F24DWiY1ez8HeAHPXv0fWu/6REe1Ra+vjQMERISSUqCZzFCjz5s1DSUmJ8O/8+fNSD8lB3TPAjuX6IXNk+19jO1rDmyyP3A+e5Q1t38zhczVkjniHLpQ0en2T6DCnl3//wCB8OL0fMppGIdVWv1RWbUJpda3fx0gIIXKkmuAoJSUFAJCXl+dweV5ennBdSkoK8vMdj0YwmUwoKioSblOXwWBAbGyswz85qTQ6/hEvKDPicrnRL4/NH8rq7AwuV1yFPlIGR5dK7FmQurv7wnXW4EgNmaPhHZs1ev2Cid0woHUiPpjW1+Hyvq0ScX0XawY2yqBDfKQeAHCRskeEkBChmuCodevWSElJwW+//SZcVlpaih07dmDQoEEAgEGDBqG4uBh79uwRbvP777/DYrFg4MCBQR+zP1SKMhwZTSIB+KHuyBa38EdrqO34kFP5FcLHaQkRDtfxy2pqyBzFRegbvb5FQiS++fsgjO7q/I0Bj9/9duEKBUeEkNCgqOCovLwc+/fvx/79+wFYi7D379+Pc+fOgeM4zJkzBwsWLMCaNWtw6NAhTJ8+HampqZg4cSIAoHPnzhgzZgzuu+8+7Ny5E3/99Rdmz56N22+/XbE71bafKhQ+5nepHcv1T90Rnzny6vgQlwfPejMi//gjy5491GsdfwWUvqyWX2rfVRam88+vN7+0RpkjQkioUFRB9u7du3HttdcKn8+dOxcAMGPGDHz66af45z//iYqKCsyaNQvFxcUYMmQI1q9fj/Bwe5PEL7/8ErNnz8aIESOg0WgwefJkvPPOO0Gfi7+IT1DvlBKLnw/n+lyUzRdTazU+7FZzcb2UTSDbJ0U3eJ3QIVuhfY7yy+xLqk2i/LOVn88c5VBwRAgJEYoKjoYPH95oRoLjOMyfPx/z589v8DaJiYlYsWJFIIYniYoa+5EhnZrHAPDPdn7AHhx5tazm4i5S9jlq7NR5g8IzR3zmC7B//3yVJmSOqNcRISQ0KGpZjdRXIMoUdLEtq53MLxe2YHuDCTVHvmSOXC2rSRccjeyc3OB1wrKaQguyS6r8v6OMr8u6cKXS749NCCFyRMGRwol3pqXFRyDaoEON2YLTBRWN3Ms9PmWOXJCyCeTus1cavE7pBdkn8vyTNRTja46o1xEhJFRQcKRw4roSjYZDxxTb0poPRdl8KKQNYIdsKZfVDjfS/4ffyq/U4KidrZ4qTOu/X21+WS2/zBiQg40JIURuKDhSuOmDWgEAImzLQZ1tdUf+6JTt07Kaq+BIwoLsxpoj8stqSu1zVGu2fl2TYv13rlqTqDCE6TRgjM5YI4SEBgqOFI4PYAa2sR4V0SnFtp3fh6Jsvujdl2U1d+7hart/oAxp1xSAPaAUE44PUWjm6Nej1mNwcvzYk0ij4ey9jmhpjRASAig4UjiTLQPD9yTyZ68jbQD7HFkfV5rgqFd6PADgtv7p9a6z9zlSZuZoY2ae6xt5ITXe2g6DgiNCSCig4EjhfjxwEQCwMdPa74ivOcorNaKoosarxxRqjvjgKECZI6nqjvjz6Jw1SRQKsk3KzBxNu8q6zKrX+mcbPy+NGkESQkIIBUcKlxIX7vB5tEGHlon8MSK+ZY+EZbUAZXikqsnmi4qdBRAGhRdkc7DO6YYe/u34nkpHiBBCQggFRwrXtpl1d9KUvi2Ey/ii7Mxc7+qOhD5HAdyt5u3j+gPfA6ru0SGAeCu/MpfV+KyYwU9Hh/CEzFEJBUeEEPWj4Ejh+CyIeImIL8rO9DFzpNP60ufIjZojiVJHjQVHSs8c8YXk/jpXjWdvBEnBESFE/Sg4UrjS6vodkfnMka9F2fyymilAmSOpzlfjt7s76wUk3sov1W46X/AtCAKVObpQXKXIrwshxP/OF1Vid3aR1MMICAqOFO6Tv7IBACt2nBMu43esHc8rh8mHY0R0ATx4FgCkanVUY2645ohfVgOU2euI38Lv72aNKXHh4Djr16TQy0J/Qoh6mC0MQ1/7A1OWbsO5QvUdLUTBkUokROqFj9MTIhEVpkWNyYIzlz07RkScFdBwgS3IlqrmyL4U6azPkf0yJS6trTt0CQDwR1bDh+t6w6DTolm0tbEk7VgjhGw/XSh8fK6IgiMiU1cq7ctr4mNEvC3KBuw1R15t5XdnWU3ymqP6mSO9ViMsJyoxczSwtbUZ6JhuKX5/bKo7IoTwVu27IHx818c7kPHUOocVDKWj4EilOjX3rihbHK/4kjlibiysSR0cNVS0HK5T7uGzybHW1g5JMf47PoRHB9ASQgDra+P6w7n1Lv/XqkMSjCYwKDhSiT4t4x0+78wfQOvDjjWdL00g5byV32R9Xme71QBld8nOL7OefcYHtv7UgoIjQgisnfjLjSan133615kgjyYwKDhSieEdkxw+tx8j4tmymjhc0fhyfIgbt7FIFHvUNLKVHxAHR8rLHG0/bd058t2eHL8/dip1ySaEAFgtWlKr6/kfj2L1vguK39VKwZGCiX/4bu6d5nBdB1vm6FJJNYorvdtdpPPh4Fl3SHZ8SCMdsgH7NnglBke8azs18/tj0uGzhJCiihpscrHhY87X+/Hgl3tRWG4ULlNasETBkYJV1tj/eEeGOe68ig3Xo4WtgDbzkvvZI/EPsNaXrfxu/CJIVXMknK3WQObIwGeOFFiQPbR9UwBA+6QYvz+2PXNU7ffHJoQow7pDl2CyMHRNja33BvPkS2Px+PUdoNNw+PlwLkYt2oKMp9Yh46l1aD3vJ3y18xwGv/I7frLtqpUzCo4UzGS2Bxcx4fp613f2siib50tw5A6pmkCezC8HAJRWO18ztx8horzMEV9szn/v/InfrVZUUYPKGudfO0KIuvFLajf3TsPxBWMxsnMSRnRKwumXx0Gn1eDhEe2x+qHBaJ8UXa8n2lMrD+FCcRUe/HIvPt9+VtbZJAqOFMxotv/xdrZEJBRle9ApW/yjyp+t5k2Gx62CbJn+YoQr+AgRPpDVBSA4ig3XIdqgA0B1R4SEonOFldhz9go4DrixZyo4jsNHM/rj47v7CzWqANAtLQ4dkhvPXj+z+jBaz/sp0EP2mi4YT1JcXIydO3ciPz8fljpVuNOnTw/GEFRp/7li4WPOye4kb4uyeVqNNXb2rkO2G8tqEq1aJUaFoaiiBq2aRDq9ns8cGRW4W40/6iUQmSOO45AWH4GsvDJcKK5GuwAs3RFC5OuH/das0eC2TYW2IQ1Z5+bSWUllLeIi6698SC3gwdGPP/6IqVOnory8HLGxsQ5/xDmOo+DIB3mljdd+8L2OsnLLYDJboGugxkZMnMzhbx6ozJFUNUd8sNdQQbawW82k3MxRQzvxfJUaH24NjqgRJCEhhTGG1bbgaGKdDUDOvDixG55Zfdjl7V748Qjeuq2Xr8Pzu4AHR48//jjuvfdevPzyy4iMdP5OnXinrIE+E7yWiZGI0GtRVWtGdmEl2iVFe/T4vmSO3CFVnyOTm1v5FZk5MgcucwTY645oWY2Q0HL4QilOFVTAoNNgdNdkl7efdlUrtEiIQJfmsSgoMyKjaZSwLF9hNOH3Y/l49Kt9WLnvAsZ0S8Gorv7v6u+LgNccXbhwAY888ggFRgFQ3kBBMU8rOkbE3boj8XIYHzt41edIxjVHFbZdfg0HR8otyDbZ1ioDUXMEAGnx1t9j2s5PSGjhjwu5vkuy0w1AzlzbMQnJseHolhYnBEYAEGXQ4caeqZg1rC0A4F+rDuOKzA60DnhwNHr0aOzevTvQTxOSGupQKta5ue2MNS92rNkzR55HR+6EPVLsVBA/Z0Mn1xt0yl1WC2TNEWBdVgMoOCIklJjMFvx48CKA+j31fDFnZHu0T4rG5XIjnltzxG+P6w8BWVZbs2aN8PH48ePxj3/8A0ePHkX37t2h1ztGnDfddFMghhASXGWOAKBTiq0o281eR+J4xX58iOdjcyfw8SYj5SvxSl58A0WASj4+RNit1kA9la9a0OGzhIScracKUVBmREKkHsM6+K/BbLheizdu6YlJ72/FmgMXMa57CsZ0a+63x/dFQIKjiRMn1rts/vz59S7jOA5ms/LenctFQ316xHzpdcRnHwLVj0iKmiOTKAumaSC7ouQO2faao0AVZFuDo9zSapgtLGAZKkKIfPC9jW7oker3zR490+Nx39A2WLr5FL7Yfk42wVFAXkEtFotb/ygw8k25sdblbfiao4sl1SipdH17MZ86ZLtxG2+bU/pCvELYUF2OKjJHAQpakmLCodNwMFuYy92ShBDlq6wx4ZcjuQDc26XmDf7g9AoZNZcNeM3RZ599BqPRWO/ympoafPbZZ4F+elXjOz03Ji5CL5yJ5UkzSEC8rObNuprrm8xfe9Tzx/WRuE6LQ0PBkS1zRDVH9Wg1HFLirHVHtGONEPXbcDQPFTVmtEyMFIIYf+PLAIy1Fkx5fysynlqHCjdqagMp4MHRPffcg5KSknqXl5WV4Z577gn006vayM6ut1MC3hdlazjvl9XcaQIpBfG4+OWzuuxb+ZUYHDV+qK4/0AG0hIQOfkltYq9Up82G/YEvAzh6qRS7z14BAHR97peAPJe7Ah4cMcacfkFzcnIQFxcX6KdXtYymUW7dTijKdqNTtkNBttaHzJFMiafSUM2RfSu/ApfVAlxzBFBwREioKCw3YsuJywCACQFaUgMCVwbgi4A1gezduzc4jgPHcRgxYgR0OvtTmc1mnDlzBmPGjAnU04eE5rbljUFtmjR6O6Eo28NjRPjMkVc1RzKNpxravi/Gn61mVPCyWiBfbNJoxxohIWHtwUswWxh6tIhD22aeNRH2RK0UW5ddCFhwxO9Y279/P0aPHo3oaPsXNiwsDBkZGZg8eXKgnj4kVNqaGbr6I97JtqyWlVvqcoeReNmJ/wPr1fEhHt8jOPadL3Z5GzUUZAdyFxm/Y41qjghRN+G4kF6ByxoBwK9H8+pdlhgVFtDndCVgwdFzzz0HAMjIyMBtt92G8PDGD6kjntucVQAA2Cs6gNaZjCZRCNdrUF1rwdnCCrRx8x2AxpfdajKNjmrdyBwZqEN2o2hZjRD1y75cgX3niqHhgBt6BnZ7/cDWiVix45zw+cPXtcPjozoG9DldCfjZajNmzAAA7N69G5mZmQCALl26oG/fvoF+atVrmxQFHLGeodYYrYZDx+QYHMgpwbHcskaDI2dNIL1okC1bj397wOVtlHrwrMXChCaXDdVT+QOfObpwparBmkJCiLLxWaMh7ZshKSawyY26m4ukDoyAIJ2tNnToUAwYMACPPvooHn30UfTv3x9DhgxBTk6OX5/LbDbjmWeeQevWrREREYG2bdvixRdfdOjWzBjDs88+i+bNmyMiIgIjR47EiRMn/DqOYOHPt+mfkejytnxRtic71rQ+bOWX6241d/A1R0pbVjOJMnz6IBRkV9SYUVoln74khBD/YIzhh/38cSGpAX++KIMOJ14ai61PXYfsV8YH/PncEfDgaObMmaitrUVmZiaKiopQVFSEzMxMWCwW/O1vf/Prc7366qt4//338d577yEzMxOvvvoqXnvtNbz77rvCbV577TW88847WLp0KXbs2IGoqCiMHj0a1dXKa2jHF8S604zPvp2/8aJscUjjUxNI5cZGil1WE3f/DtTxIQAQEaYV6gFoaY0Q9TmQU4IzlysQoddiVJeUoDynXqsRstJyEPBltc2bN2Pr1q3o2NGeJuvYsSPeffddDB061K/PtXXrVkyYMAHjx1sjz4yMDPz3v//Fzp07AVij4cWLF+Ppp5/GhAkTAFibVCYnJ2P16tW4/fbb/TqeQPt+rzXz9ufJyy5v28mLY0S0XOALsosraxAfKW3hXV32PkfKyhzVig7BC2RwBFizR0UVNbhQXIUuqbEBfS5CSHDxvY1GdU1GlCHgYYIsBTxzlJ6ejtra+sdWmM1mpKb6N1139dVX47fffsPx48cBAAcOHMCff/6JsWPHAgDOnDmD3NxcjBw5UrhPXFwcBg4ciG3btjl9TKPRiNLSUod/cnFDD2uR3LjuriP7zrZltQvFVSitbvgYEfESpC+ZI3cVVtQE7LG9FW5rDlljtkhy/pu3TKLtsIFcVgNERdlXKgP6PISQ4Ko1W/DjAeuSWqCOC1GCgAdHr7/+Oh5++GHs3r1buGz37t149NFH8cYbb/j1uZ566incfvvt6NSpE/R6PXr37o05c+Zg6tSpAIDcXOv5MMnJjsVfycnJwnV1LVy4EHFxccK/9PR0v47ZF7G2mqP0hMYLsgEgLlKPVFtfpCw3+x0JTSC9CBDc7S4tx+wMnzkClNPriDEmZBKBwBZkA6Lt/CXKW44mhDTsz5OXUVhRgyZRYRjarqnUw5FMwIOju+++G/v378fAgQNhMBhgMBgwcOBA7N27F/feey8SExOFf7765ptv8OWXX2LFihXYu3cvli9fjjfeeAPLly/3+jHnzZuHkpIS4d/58+d9Hqe/CA3/3FxCcWdpzbHmyPrj4U1wtHLvBbdut/DnTI8fO9DEwZFSirL3nL2Cl386FrTno0aQhKgTv6R2Y89U6LQBDxFkK+CLiYsXLw70Uwj+8Y9/CNkjAOjevTvOnj2LhQsXYsaMGUhJsS4/5eXloXlze9+GvLw89OrVy+lj8gGdHPFdRXVuLqF0SonB78fyXRZl8/iaI292q13XKQlH3ahv+t8J1/VSwabVcNBrOdSamWIyR9mFwV3eSou3ZiGpIJsQ9agwmvDrEWtDxgm9Ar9LTc6C1ucoGCorK6GpEyhotVpYbLt4WrdujZSUFPz2229CMFRaWoodO3bggQceCNo4/cVkK8B195BR/hiRY7mNZI5EcZBW4/3BswkSdzf1VbhOi1qzSTGZo39+57p/kz+lxVuXcik4IkQ9fj2ai6paMzKaRKJXerzUw5FUUHJmp06dwtNPP4077rgD+fn5AICff/4ZR44c8evz3HjjjXjppZewbt06ZGdnY9WqVXjrrbdw8803AwA4jsOcOXOwYMECrFmzBocOHcL06dORmpoqHHeiJLV8N2Q3U5+dhWNEyhoOeJwER95kjrwJqOTEIBwhoozMkfjLnbUg8GcWptoyRwVlRsVk1wghjVu1z16IHerNXQMeHG3evBndu3fHjh07sHLlSpSXlwOw7iTjjxjxl3fffRdTpkzBgw8+iM6dO+OJJ57A3//+d7z44ovCbf75z3/i4YcfxqxZs9C/f3+Ul5dj/fr1ijzexOzhIaMZTaJg0GlQWWPGuSLnyzA1oh1PWh86ZHsTUMlJuEJ7HQGAQad1fSMfJUaFCV+jS8VUlE2I0hWUGfHnCeuRVIE+S00JAh4cPfXUU1iwYAE2bNiAsDD7Ust1112H7du3+/W5YmJisHjxYpw9exZVVVU4deoUFixY4PC8HMdh/vz5yM3NRXV1NTZu3IgOHTr4dRzBwgdHGjcjfJ1Wgw7JfDNI1/VABp33Bdly3wI/Y1CrRq/n566UZbVg4ziODqAlREV+PHARFgb0So9HRtMoqYcjuYAHR4cOHRKWtcSSkpJw+bL8inGVhG/O6EnDv04ptuCoge38fJdlvZYTgi41LquN6tp4byilnq8WTHyvoxwKjghRvB9sZ6ndHMK9jcQCHhzFx8fj0qVL9S7ft28f0tLom+ALTzNHgKgou4HMEV/krdNofCrI9uQuNabgZ2d2nilq9Hp7l2xlBUcBbm/kII0yR4SowqmCchzIKYFWw2F8j+au7xACAh4c3X777XjyySeRm5sLjuNgsVjw119/4YknnsD06dMD/fSqxpcHaT34i9iJP2OtgR1rJlEdE1/n7U3myJP7HM9zr7WAP+04U9jo9faaI2UtqwUzYWfvkk3BESFK9oOtt9Gw9k3RNFqerWuCLeDB0csvv4xOnTohPT0d5eXl6NKlC4YOHYqrr74aTz/9dKCfXtX4ZTWtJ5kj2zEi54uqUObkGBH+CAqdeFnNm8xRI/f5z939ML5Hc7RMtG4HP3ShxOPH99XVbRvv/BquU85utZP59uDyiVHBq5+zd8mm4IgQpWKMYfV+Oi6kroAHR2FhYfjwww9x+vRprF27Fl988QWysrLw+eefQ6sN/K4aNfv9mLUtQklVw2el1ZUQFYaUWOvOPGcZGz5zpPVxWa2hzNHIzsm4rlMyltzZR0jfHswJfnAUH6lv9PpwBW3lH/nWFuHj+4a1CdrzUpdsQpRv77linCuqRGSYFtd3SXZ9hxARkCaQc+fObfR68S61t956KxBDCClbT1326I9ip+YxyC2txtFLZejbyvHYFnvNkW8F2d/vyXF6ufgE9x5pcQCAQxeKPX58X8VFNB4cGWzLakYJ6qF8EYxt/Lw00flqFgsL+HluhBD/448LGdM1BZFhAe8LrRgB+Urs27fP4fO9e/fCZDKhY8eOAIDjx49Dq9Wib9++gXj6kJHRJBLZhZW4ycM2752bx2JTVoHTomyTxb6s5kufo/wyo9PLN2XlY+711qWf7i2swVFWbhmqa80OZ5oFAhMFeQmRjXfwtmeO5B0c7Tl7RbLnTokLh4azFtRfrjAiKUZ5vcIICWW1ZgvWHrQuqU2gJTUHAQmO/vjjD+Hjt956CzExMVi+fDkSEhIAAFeuXME999yDoUOHBuLpQ0ZybDiyCyuh9/BwQGE7v9PgSFyQ7X3mqCHiJbS0+AgkRoWhqKIGWbll6BngdvXlRpPwscvgSKeMrfyT398qfLxwUvegPrdeq0FybDgulVTjYnE1BUeEKMyW4wW4UlmLptEGDG7bROrhyErAa47efPNNLFy4UAiMACAhIQELFizAm2++GeinVzVvCrIB+3Z+Z8eICMtqWnvNkdnCHLIu/sJxHLrbltYOBqEou7jSXpvluuZIeR2y7xjQMujPmUo71ghRrFW2JbWbeqa6fQxVqAj4V6O0tBQFBQX1Li8oKEBZWfC3cKuJ0OfIw1qPNk2jEKbVoKLGjJw6f9QKyq3LYSfzyx2CLk9qsmvNDS9Fff/A1Q6f97AtrR3KKXb/CbwkLlx3FRwZdMpYVpMa9ToiRJnKqmux4WgeAGBib89KM0JBwIOjm2++Gffccw9WrlyJnJwc5OTk4Pvvv8fMmTMxadKkQD+9qtmSPB5njnRaDdonRwMAjtZZWvstM0/4WBx0ebKd/1RBeYPX9W2V4PC5kDkKwo41ceYo2tD4ijKfOZJzE8i8UvuZZrf1S5dkDELmiIIjQhTllyN5MJosaNMsSngdJnYBD46WLl2KsWPH4s4770SrVq3QqlUr3HnnnRgzZgz+7//+L9BPr2oWYdu957uEOtn6HR2r0wzyB1u/i7qPa/FgWe3wBdfntvF6tIgHAJzIL0dVTWADkSuVNcLHrk6cVsLxIf/87qDw8YKbu0kyBn47f90MJCFE3oTjQnqluXw9DEUB37cXGRmJ//u//8Prr7+OU6dOAQDatm2LqCg62M5X3i6rAUBnW6fsY5caXtoUZ6Q8yRwd9qB+KDnWgGYxBhSUGXH0Ukm91gL+VCwKjlxRQofszcfty9WeFuX7S1q8tQibltUIUY680mr8ddJ6tumEXrRLzZmgvaJGRUWhR48e6NGjBwVGfuJtQTZgL8pu6BgRANCIfjo82bF25KI1OGqfFO3ythzHoWeL4CytXal0v1mmEppAdkyOkXoISIu3djmnZTVClOPHAxdhYdYyh5ZNIqUejixRebqC8cGRN733+O38ZwsrUSHa4i7mUJDtZubIYmE4etEacPXLcC8L1D0tHgBwKMDBUbEHwRFfkC3nJpBJsdKfgZRqyxyVVNU6tEoghMjXatuSGh0X0jAKjhTMl2W1JtEGJMVY/7gey3W+tKb1oiA7u7ACFTVmhOs16J+R4PoOsO9YC/R2/uIqb5bV5Js54ovb7xwY/C38vJhwPWLDravztLRGiPydyCvD4Qul0Gk4jO/eXOrhyBYFRwombtjojU7NnRdl8ziOA588cndZ7bAta9S5eSwm9ErDHQPsu6jevaO30/t0s+2UOFVQHtDsgyeZIyUsq1XaCtijwqQ9o5B2rBGiHHzWaHjHZkiMarwZbiij4EjBamxLPt4eu+FJUba7R4gcsWV/uqXGQavhsHBSD/zn7n54YHhbjGvgXUqzGANS48LBmP3+geBZQbb8+xxV1lgDSanPQ2pBB9ASoggWCxN2JFMhduMoOFIwvh4mTOfdt7GzbTu/s2NEVj5obdao8fAIkcO2YuxuafYDZq/rlIwnx3RqtOUAf87aoUAGR1WeZI74g2dlnDky2jJHBnlkjmhZjRB523PuCnKuVCHaoMPIzslSD0fWKDhSML5BocHL4KgTnznKLROOB4mxNUdMtJ09Zs8cuQ6OGGNCj6OuqZ41FeP7HQVyx5o3BdlyzhxV2DJHERJnjtJoWY0QReCPCxnTLQUREi/Hyx0FRwpWYzumg/9D7qm2zaKh13IoN5qEJn6mOo0lxeeruZJzpQolVbXQazl08HCbOd+hNaCZI6/6HMk4cySzmiPKHBEiXzUmC9YdvAQAmEhLai5RcKRQZgtDre38EG+X1fRaDdolWYMYfmmtyhYM8EGRxoOCbL6/UYfkGI/HxAdHZy5XOJyB5k+enA8Xbgs4TRYGUyNnxUmJD46krjlKo5ojQmRvU1Y+SqpqkRRjwKC2TaQejuxRcKRQNaL+O94uqwGiouw62/n5P7yeZI6O2HaqdfNwSQ0AEqLCkJ5o/SPrSYftQBEXuVfLtNcR358qUuLMUQtb5ii3tFq2gSQhoc5eiJ3q1ZFToYaCI4XyW3AkKsoW1xUl2E6t19raZLsTHPFBjbgY2xM9bM0gg3EIrSvir6lcl9aEZTWJC7KbRhsQptXAwqwBEiFEXkqra7HBdqg47VJzDwVHCsXvotJwgM6Hc7XERdnipTOdLSjiH9qt4MiWOerq5QnPPYQda8Ve3d+fNBpOWBqUa5dsuSyraTQcmgtnrFFwRIjcrD+UixqTBe2TotE11bs3r6GGgiOZyi+rxuVyY4PX83+wvS3G5vFnrGUXVqC82t6AUau1FWTzu9Vc1Bzll1ajoMwIDWfPRnmqe5DOWHNXuE7eRdn8z0eUxMERAKTG8TvWKiUeCSGBxTw4Z1IuxMeFcF6cxRmKKDiSocoaEwa89Bv6LdjosHwmJgRHet++hU2jDWgabQBjwF+nLguX8y8AGjdrjvj+Ru2Sor3eIsp3ys65UoWiCvd3lgWKnLtki5dAdVrpX+z4omzKHBE1e/2XY2g97yf0W7BR6qG47VJJFbadLgRgrTci7qHgSIa2nSoUPj6ZX+70NvyyWpgPS2o8vij7xwMXhcsibIEBX7jnKnPkbX8jsdhwPdo0jQIQ2C397pJzl+waUeFzbIRewpFY8dv5c2jHGlGxJX+cAoBGs/pys2b/RTAGDMhIRIuESKmHoxgUHMmQ+Hyx//x1xult/JU5AuxLaxsz84XL+DomflnN1SYkvhjb1/VsoVN2TrFPj+MPQpdsGWaOxHVQ/giQfdWCeh2REFOrkJ2Zq2271Cb2pkJsT0j/qkrqEff52Xv2itPb1Pip5ggAOqVYM0fOls7cXVYTtvF7WYzN4/sdyaHuSOiSLcMjREpE3b71MlhWo8NnSaiRw2uUK8dyS5F5qRR6LYdx3VOkHo6iUHAkQ+J6m9OXK5zeRjhXzS/Lag1ne9wpyL5SUSP8UeziY+aIP0ZEHstqfEG2/N4hMti/H3IosBQ3glRiwSohntp+utD1jSS2ep81a3RtxyTE246EIu6h4EiG3DkDTDhXzQ/Lam2bRUPXQFMwdzJHfNYoo0kkYsN9q3/pmhoLjgMulVQjv0za4l5ZF2Tbvh3RBul3qgFA8zjrVv6qWrNHZ9gRolQ7zhRJPYRGWSwMa0S71IhnKDiSIXd2atnPVfP9Wxim06BdUrTT64Q+R41kA/idat72NxKLMujQrpl1LIckTlvL+fBZvt7B26Nj/C1cr0XTaAMAWlojoWF3dpGs6452ZhfhYkk1Ygw6XNcpSerhKI48XlmJgytuHJBqrOX/OPqnO3JDS2vCslojmSOhM7YPO9XE5NLvSM6Hz/I1Z3KoN+Kl2RpBUnBE1Kju0TiVNWZZLP8781tmHm5fth0AMK57c4fjkIh7KDiSocJyN4Ijk/8yR4C9KLsuT5bV/NV5tUca3ylb6uDI+oIixw7Z/DtWvQx2qvHoAFqiZuKgn3+tk2vd0czlu4WPJ/Sm3kbekM8rKxHkl7nuoVFj20Hlt+DIVeaogWW1supanLEVjfstOEqPB2DNHElZ3CvnzFGt2fp1kcM2fh7fJZu28xM1Ei+h3Wyr4dl+OrB1R5U1Jry6/hgOnC/2+jGuat3EfwMKIfJ5ZfWTCxcu4K677kKTJk0QERGB7t27Y/duexTNGMOzzz6L5s2bIyIiAiNHjsSJEyckHLHd2oMXkfHUunoNxpxlbbLyygAAJ/KcN4n0FN8Isi575sj5/Y7askapceFoYqs58VWX5rHQajhcLjcG5CDT+Ej3isbDZbyVX9aZIwqOiAqJm60ObtcUQODrjpb8cRLvbzqFCUv+8voxNA1stiGNk88rqx9cuXIFgwcPhl6vx88//4yjR4/izTffREJCgnCb1157De+88w6WLl2KHTt2ICoqCqNHj0Z1tfTHHsxesc/p5eKmkLz/7jwPwB4k+apZA4ENnzl6aMVefL79bL3jTI74eNisM+F6LTokW4O1QNQdxbvZUVpYVpNhQTZfkK/XyeeFL40aQRI1s71H1XBAx+QYxEfqUVljFmouA+GXI3le3W+i7ZiQp8d39udwQoqqgqNXX30V6enp+OSTTzBgwAC0bt0ao0aNQtu2bQFYs0aLFy/G008/jQkTJqBHjx747LPPcPHiRaxevVrawTeirLr+1mh/t7ZpqFeO+F3RM6sPo8PTPyPjqXXCZfxONX8VY/OEuqNABEdu9vswyPjg2VqT/DJH1AiSqBmfv+c4DhoNh4GtEwEEdmktzsujgajTmO/k88rqB2vWrEG/fv1wyy23ICkpCb1798aHH34oXH/mzBnk5uZi5MiRwmVxcXEYOHAgtm3b5vQxjUYjSktLHf4Fm7PMUSBKce4b2hoAsPSuPsJluxvo0P3NLmvm6sgFvjO2f+qNeMKOtQC8K3N7WU3GfY74miM5BUctbMtql8trZPk1I8QX/Gsu/zbyqjbWWp5AFmVXiF77zzTQENgZi5Dlkk9mWWnk88rqB6dPn8b777+P9u3b45dffsEDDzyARx55BMuXLwcA5ObmAgCSk5Md7pecnCxcV9fChQsRFxcn/EtPTw/sJJwor64fHE2yFQQ+fn0Hvz3Pv8Z1xt5nrseYbs1d3vaf3x/EXR/tEJb1fD02pK4eojPW/F2U7f6ymnw7ZAt9jmQUHMVF6BEZZg0oaWmNqA3flZ6PNwbaCp0DWXeUnmg/KPbaNzYJgVhpdS2+3X3e4agpMX4DDcVG3pPPK6sfWCwW9OnTBy+//DJ69+6NWbNm4b777sPSpUu9fsx58+ahpKRE+Hf+/Hk/jtg9ZU4yRyv3WTufnr9S6bfn4TgOiVHut5j/8+Rl4eOkGP8UY/M6psRAr+VwpbLW7ye9u72sppdvQbZQcySjPkccx4nqjqSv4SPEn+yZI+vvXKeUGMRF6FERwLqjptGOr1U/2Dpe//Pbg/jHdwfx0Jd7Gxis9T/KHHlPVcFR8+bN0aVLF4fLOnfujHPnzgEAUlKsB+/l5TkWueXl5QnX1WUwGBAbG+vwL9icZY54gT6qISU23K3b+ft8L4NOi04p1q+1v/sdxXpYkC3HJSI57lYDxHVH/gvaCZEDIX9te6kLRt2RpU5Cig/Q1h+xrnSI36A63M92Q9qo5j15vbL6aPDgwcjKynK47Pjx42jVqhUAoHXr1khJScFvv/0mXF9aWoodO3Zg0KBBQR1rXY2lZZ3VHPEG2H45A+X5m7q4vlGA8HVHB3KK/fq4seHunUcWbivIlmUTSL4gWybHh/Ds2/kpc0TUhV/eF8cbfN3RjjOBqTtidUqr3a0wYPbqcf8OKITI65XVR4899hi2b9+Ol19+GSdPnsSKFSuwbNkyPPTQQwCs2Y05c+ZgwYIFWLNmDQ4dOoTp06cjNTUVEydOlHTslcaGsxONZY6yC90v0vOGO/U2WQvGBOS5A7VjbXRX51nCuuyZIxkGRzJsAgnYt/NTl2yiVuJ4gw+Odp0pqne8iD/UDYbqBksNocyR7+RxpLef9O/fH6tWrcK8efMwf/58tG7dGosXL8bUqVOF2/zzn/9ERUUFZs2aheLiYgwZMgTr169HeLh7y0eBYqqbPxVxtpU/JTYcuaXVbv+h99bV7RrvrnrsxTHCAa3+xmeODl0ogcXCfG5mFqbVoMZsgdbNx7H3OZLfslqNDAuyAep1RNTLWdaGrzsqqarF4Yul6GXr7u+353RjDI3djwNFR96S1yurH9xwww04dOgQqqurkZmZifvuu8/heo7jMH/+fOTm5qK6uhobN25Ehw7+2/HlLWdLN01sxdHOCrL5ztF1mzL6W1JM40Gjv44vcaZDcgwMOg3Kqk04W+R7DYvZ9srifnAk4z5HMmwCCVCvI6J+4oBDo+GE0oZgnLP27Z6cRg8B5zHKHPlMdcGRUjkLjqYNstZKNbastu7QpYCNife/f17r8Pmi23oKH/u7EFtMr9Wgi+28toM+1h0xxoRjWDzNHFXLsOboZL712Bi5FWTzNUeXSqrcehEnRCn4bG1VnTdLgex39N2enHqXtfnXTy7vR32OfKeqZTUly3GyJZ/PHDVWkN2lgQNj/Sk9MRLZr4yHyWyBzvbH+JoOSV53b/VEj7Q47DtXjEM5JZjQK83rxxH/nda6+YIh5w7ZTW3Hvfi7zYGvkmMM0Go41JoZCsqNSHZztyMhcrd00ymnl1/Vxpo54uuOdEF+w3K6oBxtmkU7XMbqdqwkHpPX284QtuV4gfDxnqdH4szCcYi27aqqGxyJmyK2SIhEsIh/6ROjwtzOwPiie4t4AL53yhbXdGnd7A0k3srv70aU/tIuKdr1jYJIp9UI7R/kFrgR4otvnWRxAKBzSqzQ74g/azKYrntzMy6VOP6uUebIdxQcyYR4Wa1JtAEcxyHaYM3MlNVZVuN3KgFA75bxQRmfVPhO2UculAjLYt4Q17u7mzkKtxWaW5jj11wO+BR/eICK4X2RGm8Njqgom4SCYNcdObOjTp8le0E28RYFRzIx1nZkR+umUcJlMQ1kjsQ9kWLDA7+0JaW2zaIRodeiosaMM5fLvX4ch8yRmxkvg97+6yG3Ltn2Pkfye/lLo6JsEmIGShwc1d3iz69E1AToWJNQQMGRTAxq2wQbHhuGdY8MES6LNtiCozqZI3EmSU7HRwSCVsMJh9oe9KHfkUPmyN3gSKcReprIre7IZJFnnyPAXpRNmSMSKoR+R9lXAtLvyFvrDgZ+w45aye+VNYS1T45BZJi9Rp7PHDnrc8QLdvGfFLqnxQPwLThyyBy5uazGcZxQlG2UWSPIGpkeHwKItvNTzREJEZ2bxyI2XIdyo0mSuqN0Ue2puPyA3qB4T36vrETAZ44qaswOP/D8slqEXn71JoHA1x35sp3fLDql2pNmkkIjSLkuq8kwOKJlNRJqtBoOA1oHbku/K+LlM4to80h+mTHoY1EL+b2yEkG06Aywihr7UhpfvK0LkQ5ffKfsIxdLvU5Z88Glp18zvuBZbkeI7D13BUDjZ/JJhYIjEor4Lf07zgTmENrGiJsBi7NFvmxiCXUUHMmYQacVakrEdUe5Jdbu2M46Z6tR6yZRiDHoYDRZcCLfu6Js/kXC062tcu2Sfbm8BgCw++wViUdSH7+sVlZtQmkjS8KEqEmgz1lrjDg4EmeLzDJtQaIEFBzJnLNeR3V7WqidRsOhm4+H0HqdOZLp4bN8E8gRnZIkHkl9UQYd4iOtuyip5oGEis7NYxETrkOZ0YSjl4JbdyReVhNni+RUHK40FBzJHF93JN6h9sX2s1INRzJC3dGFYq/uL2SOPAyO5Nol+3K59d2hXHu80QG0oeGXI7n4bFu28HkoHxmj1XCSbekXZ47EyaIQ/nb4jIIjmXPW6+iAD7u2lIqvOwp25sggnK8mr+CIdzyvTOohOEU71tTNYmHYeDQPf/98D5794QgyL5Xib8t3o82/fsKHW05LPTzJ2M9ZC27dkUNwBIqI/IHOVpM5e+YotGs3eti282deKkONyYIwnWdxPb/27umRJ3JdVouL0KOkqhYDbTtk5MZelF0t8UhIINQ9/PSTv85gY2YeAOClnzJx37A2UgxLcuK6I7OFBeWIJcD5weXEN5Q5kjkhc1QdGsXXDUlPjEBchB41ZotX2RKT2cvgSKbLakkx1pojnUybgNKOtdCSV0pbxoE6dUdB7HckzhxR4sg/KDiSOaFLtpOdaVe3lWfWIBA4jhP1O/J8aY3v/eFuA0ie+PBZObEvE8rzV5i6ZIeWzaKDswGguLJGopFIS6vhMCAj+HVHjn2Ogva0qibPV1YiiA6vX5Ddubn1OI1ZIZa67s7vWPOiKJs/bkPrYaaF38pvNFnAZLQtVpiPTH+DqeYotPWavwHv/X5C6mFIwl53FLzgSLysFhdhP2+Tf80knpPpSyvhRRusP+jizFGhbaeSQYYnsgeST5kjLzMtfOZoyR8n0W/BRmRfrvD4uQPBLARH8vwV5pfV8sqqZdmokgTeG78el3oIkuCDo522uqNgEC+riUsHbujRPCjPr0byfGUlAmc1R3yTr7zS0Cp27d4iHgCQlVvm8TIXn2kRn7HmDj44qqwxo7CiBje996dH9w8Ub3ffBUvT6DCE6TRgzN60lISenCuVUg8h6LqkxiLGENy6I/HxRuLjQ2iJzXsUHMlc3a384qZeUYbQ2myYGheOJlFhMFkYMj1sssafy3a+yLNlnvA6u+JKq014df0xjx4jEOzLavIMjjiOo6JslfJkefm+z/agIkQ6+fOs56wFt+6opoHdahYZlQIoDQVHMscXZPPHMOSJWsO3TIx0eh+14jjO3u/ogmdLa3xHaU8ZnBzu+/6mU149lj9ZvGxNEExpVHekSlcqG24r8tTYTsh+ZTw2PTEcTaMNyLxUirnf7A+55pD80tqOM8EPjsQBEZ2t5j0KjmSu7m61Q6KT6TOahlZwBAA9bEtrntYdJUSFAfC8QNHgYT+lYOEziHIOjlLjwwFQ5khNGGP49K8zDV5//zVtAQAZTaPwwbS+CNNq8MuRPCzeGFr1RwNFh9AGI0BpaLcaBUfek+crPxFE16k5EmdMQq0gGwB6eHnGmkU4eNaz5wt3kjmSA7nXHAFAWrw1eKft/OqQX1qNez/dhXd+P+n0ej5TyOvbKgELJ3UHALzz+0n8eOBiwMcoF12a2+qOqk0elwB4w/H4EHHNEQVH3qLgSOZi6uxWO+dhzYza8MtqJ/LLUFnjfi2Dt2eryTU4knvNEUCZIzX56dAljF68BX9kFTR4Gz5bIja5bwuh5cgT3x7w+vgfpdFpNegfxLojx2U1++WUOfIeBUcyVzdzdG3HZlIOR3LJseFIjjXAwuDRThD+NULjcRNIef6KKKLmKIEKspWupKoWc77ahwe/3IsrlbXomhqLFgkRTm/bxdZ/ra4nx3TCtR2bwWiy4L7PdiM/RHbZXtUmeMGRsYHMUUpceMCfW63k+cpPBELNUY0JFgsT/rgPbd9UymFJqrvtnDVP6o687pAt06VLJWSO+GWWi8VVsmqgSdzz18nLGLN4C1bvvwgNB8y+th1WPTgYk3qnCbdZM3uw8HGXVOfBkVbD4Z07eqNdUjRyS6tx3+d7ZNdxPhDsRdne1R158jvjePCs3e39W3r8vMSKgiOZ47fyMwZU1pqFwju9XFsjB0EPL3as8cGRh7GRLJfVLBYG/nVTrseHANZ3rRxnPbS3qCI0j5NQoupaM55fcwRTP9qBSyXVyGgSie8euBpPjO6IMJ0Gj4xoj+u7JGPxbb3Qo0U81s8ZiiV39sHVbRt+wxYTrsdH0/shLkKPA+eLMW/lIdUHzL7WHa09eMnt2xrFBdm2QKxNsyiPD+gmdvSVkzmDTgO97ciL8moTrtj+yIRykWt3oVN2sdv3MXuZaZHjsppZ9EdFzpkjg06LZrYWCrS0pgwHc4ox/p3/4dOt2QCAu65qiZ8eHYo+LROE2+i0Gnw4vR8m2jJInVJiMd6NTswZTaPw/tQ+0Go4rNp3AR9sOR2QOQSCN4GcTqtBvwzr182bpbUD54vdvq2zzJGnJQTEkfxe+YkDjuOEpbWy6lrhgMdjuZ6fTK8W/Hb805crUFbdcM8VMT5z5HnNkfPMEWMM3+4+jxN5wf8+iFP0cg6OADqAVilqzRa8vfEEJv3fVpwqqEBSjAGf3tMfCyZ2R2SY/5rNXt2uKZ6/sQsA4NX1x7DxaJ7fHjuQvC1stp+zVuTxfTNz3c821TjpkC3zlwbZo+BIAYTDZ40mofPqINsvXShqGm1AWnwEGAMOX3DvBYQ/NcTz3WrOf0UO5JTgH98dxD2f7gp6gzuT6PnkvJUfsB9Am0ONIGXrVEE5pry/FYs2HofJwjC+R3P8MmcYhndMCsjzTRuUgakDW4Ix4NGv9uG4BG8wgsV+zlqhxwHWDg8CKnGfowJbo+DjeeUePR9xRMGRAgiHz1abUGUrZIyP1Dd2F9Xjs0eHLhS7dXuzl++mGuolVVRhfQHKuVKFv05d9uxBfWQ2Kydz1EIoyvZshxJjDBVGE3acLqSDawPEYmFYvjUb49/5Hw7klCA2XIe3b++F9+7oLTRNDZTnb+qKq9okoqLGjL8t3y37mrSiSu/G1zU1FtEGHUoD3O/IWGv/HXnntxMBe55QQsGRAsSIumR/uf0cAODnw7lSDkly9roj94qymZe71QwNZI7u/XS38PHXu8579Ji+cqg5knldQapwvpr7B5AyxtB63k/o+twvuG3Zdjz45d5ADS9kXSqpwoxPduK5NUdQXWvB0PZN8ctjwzChVxq4IPxM6bUavD+1L1omRuJcUSUe/HKPrIPgAtGxTZ7QaTXo70PdkbvEmaPqWvl+HZWEgiMFEPc6uraTNdU9qkuylEOSXE/bMSLu7ljjXzs8feF3Z7far0fyUOzlO0tvmGxrhBrO82XCYEvzInO0cu8Fh883HM1zOHCZ+OaH/RcwetEW/O/EZYTrNXjhpq5Yfs8ANI9z3r8oUBKiwvDRjH6INuiw/XQRnl9zJKjP7wlfAo6Boi39nvCku7W4ILttUrRHz0Oco+BIAWJENUeJtuW0jikxUg5Jcvyy2tnCSpQ0chAmz9siRXf6HNWYLVi974LL2/mLtzvvpOBNI8i1B+sfM/H6L1l+G1OoKq6swewVe/HoV/tRWm1CzxZxWPfIUMy4OkOyILtDcgzevr0XOA74csc5fL4tW5JxuPL1rnNe39ded1QUsPpEcXAkxSYRNaLgSAGERpDVJqETqhz77wRTXKQerZpYz+5yJ3vEvyR5umKg13JuBVRf784JWt8WPjiqNcu/Twy/rFZUUYOqGvca/zk7okJJ277laFNWPkYt2oK1By9Bq+Hw2MgO+P6Bq9G2mfRZhhGdk/HkmE4AgOd/PIq/Tga3hs8d3+zO8fq+3VJjERWmRUlVrUc70Dz57TZZmBB4XSoJjQ7kgUbBkQIIu9Wqa7HSlqGgrdH27NFBd4qy+SaQ8Cw64jjOZSAaptMg81IpjnhwnIkvit3IlMlFXIReqJlzJ3uUFyJHSwRLZY0JT68+hLs/2YX8MiPaNovCqgevxqMj20Mno0ayfx/WBpN6p8FsYXjwy73Ivlwh9ZD8xvGcNfeX1hp7r8XvVv5x9hDhshpaevYr+fx2BMArr7wCjuMwZ84c4bLq6mo89NBDaNKkCaKjozF58mTk5cm714a4IJtPn8p9d0cwCJ2y3SjKLqqwBhTHPHjnxnMVHI3umgIgeIXZOq38l9PEUuPd73VUVu3+YcKkcXvPXcG4t/+HL2ybOO6+OgPrHhmKHrZ6PTnhOA4vT+qOXunxKKmqxczlu1DqZg8zJbD3O/JPUfaXfxuIYy+OQafm9vIKIxVi+5Vqg6Ndu3bhgw8+QI8ePRwuf+yxx/Djjz/i22+/xebNm3Hx4kVMmjRJolG6R2gCaTTh6rbWXzK+MDuUeXLG2nJbLUN2ofu7pnjhLlrw39YvHQCwev+FoJwZxfdsahZjCPhz+YMndUd/HMtv8LqMp9Zh3sqD+PjPM9h8vIDObGtAjcmCN37JwpT3tyK7sBLN48Lx5d8G4vmbusp6OT5cr8WyaX2REhuOUwUVeOS/+1Rzqry/6440GmtGW6fhhFIBo1n959UFk/9an8pIeXk5pk6dig8//BALFiwQLi8pKcHHH3+MFStW4LrrrgMAfPLJJ+jcuTO2b9+Oq666SqohNyo63N7naOsp6zsP8SnMoapbmvWgywvFVSgsN6JJdMPBwtSBLfHu7yeRnuj5jhxXf1CubtsEafERuFBchV+O5GJCr7RGb+8rPn3u7fbiYEuNt54M7k7m6ES+vZj098evwfG8ctz/xR7hsv/udMzORYVp0S4pGm2TotE+KQbtkqLRPika6YmRiihY97cTeWV47Jv9QnPUm3un4fmbuiIuQhl90ZJiw/Hh9H645YOt2JRVgFfXH8O/xnWWelg+E9cdHcsta/CQXk9xHIcwrQZGk8WhKJv4TpXB0UMPPYTx48dj5MiRDsHRnj17UFtbi5EjRwqXderUCS1btsS2bducBkdGoxFGo/2PUGlpcOpKxKJFy2q8nWeKMO2qVkEfi5zEhOvRplkUThdU4NCFkkY7+iZEWpva9UpPaPA2DTG4CI40Gg639GuBxRtP4Otd5wMeHB0NUm2Tv6TFWwvnL7jRJftEvr2rb5tm1iBH7OHr2uFkfjlO5Jcj+3IFKmrMOJBTggN1sodhOg3aNI2yBUu2oCk5GhlN1HkYp8XC8J+/zuC1X7JQY7IgPlKPl2/ujnHdXZ95JjfdW8ThjVt6YvaKfVi25TQ6JMdgSt8WUg/LJ9Zz1hKx+XgBtp8u9FtwBFh/1vngiFpe+I/qgqOvvvoKe/fuxa5du+pdl5ubi7CwMMTHxztcnpycjNxc500VFy5ciBdeeCEQQ3VbjKjPUZhOgxqTBRN7pUo6JrnokRaH0wUVOJjTeHBkEQqyPRfmRo3PlL4t8PZvJ7D1VCHOF1XW+6PuT62bRgXssQOBzxzluJE5Oldn2VNfp2j48VEdhY9rzRacLaywBkt55ThZYP3/VEE5jCYLjuWW2c4gtJ9urtVwaNUkEu2aWYMlPnhq0yzKr2eIBVPOlUo88e0Bodh3eMdmeG1yDyTFhks8Mu/d0CMVx3PL8M7vJ/GvlYfQumkk+rZKlHpYPrmqTRMhOLp3SGuXt48M06LSjR2eBp0GZbBmlBdtPO6HkRJAZcHR+fPn8eijj2LDhg0ID/fPC8O8efMwd+5c4fPS0lKkp6f75bHdJQRHRhNaJkbiZH65Yl/I/a17i3is3n/R7U7Z3jT/begIEbEWCZEY0q4p/nfiMr7dfR5zRX/E/Y2fQzuFNHtr0cjhsxYLQ/+XNqLQtsFgSLum+LPOVu6TL43FpZLqegGnXqtBu6QYtEuKwZhu9svNFoYLV6pwsqDMGjTZMk2n8stRZjThdEEFThdU4Nc6h562SIgQluXaJUXbHjtatktSjDF8v/cCXlhzBGVGEyL0Wjx9Q2fcOaBlULpcB9qckR2QlVeGX47k4e+f78EPs4cITUWDyV/ZmKvaWIO7Hba6I1e9pdyttwqzvYHYeaYIS/445dsgiUBVf2H37NmD/Px89OnTR7jMbDZjy5YteO+99/DLL7+gpqYGxcXFDtmjvLw8pKSkOH1Mg8EAg0Hawld+Wa20ulb4hWnoWItQI+xYc7Gdny+UduedWF3ufq1v7ZduDY725ODRkR0CVvOitFO3+d1quSXVMFuY8HUprqxBr/kbHG5bNzACrEsSnmTitBoOLZtEomWTSFzXyd5JnjGGvFIjTuSXCQHTSdu/oooa5FypQs6VKmyq02cpKcbgNGhqGh0mBCFv/pqFd38/CcD6MxkXoUd8ZBjiI/RIiNQjzvZxu6Ro9EyPd3suDSksN+Jfqw7hlyPWAK9vqwS8eUtPZCgsq9gYjYbDW7f2wpSl25B5qRT3Ld+N7x4YFPQ3hpfL/bMzuFtanEd1R+52yOaX/Z/9Qb4dxpVIVcHRiBEjcOjQIYfL7rnnHnTq1AlPPvkk0tPTodfr8dtvv2Hy5MkAgKysLJw7dw6DBg2SYshuiRZljvitzhVG2vIMWA921HBAXqkReaXVSG5gKeGNX63p5g1HPW/b4E7mCACu75KMuAg9LpVU48+Tl3FNh2YeP5c7+NdMjUKyA0kx4dBpOJgsDPll1cIxFXUDo0DjOA4pceFIiQvH0PaO35vCcqM1UBItzZ3IK0duaTXyy4zILzMKmyF48ZF6pz2nXGUx18we7NN2+t8y8/Dk94dwudwIvZbDnJEdcP81bVVZgB5l0OHD6X0x4b2/cPRSKZ749gDeu6NPUDt6f/LXGb88jl6rQd+MRGxxs+6oocwRn4HihcmoX5WaqCo4iomJQbdu3Rwui4qKQpMmTYTLZ86ciblz5yIxMRGxsbF4+OGHMWjQINnuVAOAGIM1rS9+I8EXGIe6yDAd2ifFICuvDIdySpDcxf91FuFuZo7C9Vrc3DsNn27Nxje7zgcsOBLqpxQSHGk11qAk50oVLlypCvoZXu5oEm1Ak2iDcA4Wr7S6FqdEGSY+43T+SmWDzTj/c3c/FFfW4kplLUoqa1BcVYviylqsOWA9FmX6f3Zi/7OjPB5judGEBWuP4itbP60OydFYdFsvdE2N8/ixlKRFQiQ+mNYXd3y4HT8dysU7yScwZ2SHoDz3qYJyv3Znv6qNNTjaccZ13VFDq2p1d8+qcYOBHKgqOHLHokWLoNFoMHnyZBiNRowePRr/93//J/WwGhWu10Cr4RzeSUSGybdfSbB1bxGHrLwyHLxQgpEBOJDX3cwRYF1a+3RrNn49mouiihokRvk/iOV/DJQRGlmlxUdYg6PiKvQDYDQpoydLbLgevVsmoHdLx12O1bVmnMwvxw3v/ulweXyk3mEpT4wPjsRBFWPMrSB3V3YR5n6zH+eLqsBxwH1D22Du9R1k3bfIn/plJOKlid3xz+8PYvHGE2ifFIPxPQK/E2/Em5v9+nhXiQ6hdafuyBltnZ8XCo4CQ/Vf1U2bNmHx4sXC5+Hh4ViyZAmKiopQUVGBlStXNlhvJBccxwl1R7y6n4cye6fs4oA8/r7zVxq8LqlOI8YuqbHolhaLWjML2GG0fONDjYJ+e/lCWr4R5E+HLjV2c9kL12vRLS0O88ZazwRr0ywK/x7XGXuevt6t+5/IK8PAlzei9byfGj0qw2gyY+HPmbj1g204X1SFtPgI/Pe+q/CvcZ1DJjDi3do/HTNt2ZbHv92Pw26cqSg33dPiEBmmRXFlLbJcHBBb97WFVzegomW1wKCvqkLUDYYiKHMk4M9YO3ShJCAdk08XNPzHK99JI0a+Y/Y3u88HZDxKqzkC7F2y+R1rz662F49mvzIeS+7s4/R+cvf3a9oi+5Xx+P3x4bhvWBu3636uX7QFeaXWn52/f77H6W0yL5Viwnt/4YPNp8EYcEvfFlg/Z6iQfQhF88Z2wjUdmqG61oJZn+1Gfllgz+KL8HMAqrf1OwJcHyXS0C5JQ51MUUOZowEZym59IDUKjhSC387PC7V3jY3p3DwWOg2Hy+U1sjiR+qZeaTDoNDiWW4ZDAXh3q7SaI0CUObI1giyrs6EgNsLx5/vZG7oEZ2AyMKR9U4fPzRaGpZtPYcJ7f+FYbhmaRIVh2bS+eP2WnogJl2dbgWDRaTV4547eaNMsChdLqnH/53sCukRb5eQ4IF97zPEF1a6Co7oHyeq1HDKaRNbrGF43WOL5s9FkKKLgSCHqBkd1m+OFsnC9Fh2SrQcwutvvyBP8sp0zfVrG17ssLkKPMd0CdxitRcgc+f2hA8Z++Kzz4LXu0QdTr2oZ8DHJxQ/7rcuvRRU12H66ELcv24ZXfj6GGrMF13dJxi+PDcOorvJe+g+muAg9Pp7RH7HhOuw9V4x5Kw8FJENbWO78eB5PahCdGdjase6oIfzvxMoHr8aa2YNx7MWx2PSPa4XfJV5DmaN/jglcr7VQQH9hFYJqjBrHBzAHA1B35M2uM35pbc3+i6jyordSY+x9jpQTHYkPn3X2h6xpnXPxfP0DpCSXy2uQ8dQ69HlxA25fth27sq8g2qDDa1N6YNm0vvW+NsTaJX7J1D7Qajis3HsBH/7PfzvKeH0XbHR6+cA2vi1X9WgRhwi9te7oeH7DdUd8cBQZpkWPFvENLtk2FBxRo2DfUHCkENEhnk53pXsLe92RvzUWhDT0vu+qNk2QnhiBMqMJ64/4t/iYKawJJACk2rbvlxtNKK2u36PLH40R1eTnR4fi1n7pilo6Dbah7ZvhmfHWJaaFPx/DH8fyA/6cS+/qg4k+np1orTuy7n7cfqrhpTU+OHJVcN3QshrxDX1VFYIyR43rkRYPwLqs5u8Ue2NtExr606XRcLilrzV75O+lNftWfuX84YwI06KJra2BOwfQhrpAns2nJjOuzsAdA9LBGPDIf/fhhIsdYL4a0625XxpQ8kX1/Hl4zhhtNUeuturTbrXAoK+qQtStOSKOOqbEIEyrQUlVLc4X+fePb2PLGgsn9Wjwuil9W4DjrC+AZwsb3vHmKT72U1pSwV53ZP/+xIp+rvc9cz06pcRg7zPubYdXq+xXxks9BMXgOA4v3NQNA1onosxowt8+240rFd4d9xHonW9i9n5HhU7rjhhj9syRi+DIQJtzAoKCI4WgzFHjwnQadG5uK8quc86aOJPkTZDZtIF+I4A1KGtIanyEcEzFt7tzPH7ehiix5ghw7HXEN8d845aewvUJUWFYP2dYQBpnysGh5113xabAyHNhOg2W3tUXLRIicLawEg+t2IvaRg6Lff2XY1hc5/T6d387gQEv/YaPAlC75Axfd3SlgbqjWrP9NcugbTz4ocxRYNBXVSEoc+SaUHdUZ8eaeEusN31LhrVvigeGt/VqTHxh9nd7ctw+ZdsViwKbQAKOmaPmcdZjXkKpu29MuB4LJjoeb3T65XGY3KcFAGDrU9dJMSxVSIwKw0cz+iEqTIutpwrx4tqjTm+XX1aNJX+cwuKNJxw2Sry5wRosLViXGZTxuqo7Egd3LpfVQuh3KJjoq6oQlDlyTVx3JFZda3+hWTqtr8ePy3EcnhzTyasxjeyShIRIPXJLq7HleIHrO7hBiU0gAfuOtZziKuHFP9Te9d51VStkvzIe/x7XGUvutB6g+uatPZH9yvh6W7SJZzqlxGLx7b3BccBn287ii+1n691G3DLC3VPvA0V8lEhd4nFScCQN+qoqBGWOXOMzR4cvlDis4xttjdw0HNA7yLuiDDotJva27m75Zrd/CrOV2AQSANLirdmii8VVOJ5XDqDhwzXV7r5hbYJyNlioub5LMp4YZe3v8/yaI9hWJysjjoc2HM2DyWxpdAkukPhmkM76HfHZbg0Hl13XQ+0NRrDQV1Uhog20ld+V9knRMOg0KDOakC0qgOYzR+F6rSQBxW39rUtrGzPzGmws5wklHjwLAGnx1h1Y4t1qSjmAlijHg8PbYkKvVJgsDA98uQfnCiud3m7O1/vR7t8/o/2/fw7yCK26p8UjQq9FUUUNTuSXO1znbjG2u7chnqOvqkJEizJHA1vTmTnO6LQadLW1zBf3O6q2/QGWqh9Ip5RY9GgRh1ozwyo/HEarxD5HAJBqyxyJz6OjRnXE3ziOw6uTe6BnizgUV9Zi5vJdKKuuBQA8/s0Bl/fPeGodMp5aF+hhIkwnqjuqc5SI0c0eRwD1OQoU+qoqhLjm6MU6RZ3ErkeLeACOdUcm284PnY/p5wk+nKl0qx8Po1VqzVFiVBjC9Y7fg2aN7AQkxFvhei2WTe+H5FgDTuSXY85X+2G2MOzMbrivkBT4N7p1gyN75sj1BhLKHAUGfVUVQlxz5O+TotWke1r9Y0T4Gh2tj8HEm6Jt5566qVcqDDoNjueVY//5Ype3b4xSa444jqtXdEzvekmgJMeGY9m0fjDoNPjtWD5e++WY1EOqR1yULX7TxNccufP7Qb9DgUFfVYWIEmWO6NDZhvUQirJLha3zFj8tQ/mSeYoN12Ncd2sB7jc+9jxS4sGzvDQ3D80kxB96psfjtSnWRq0fbPa+h9HT4zvj61lX+WtYgh4t4hGu19SrO/Kk5oj+HgQGfVUVItqgwy19W+DGnqlIjqWliIa0aRaNyDAtqmrNOFVgfbHhgyR/tP33Bb+09uOBi6isqX++mLuU2gQSAFok1AmO6IWdBNiEXml46Frv+pTx/ja0DQbasjz+FKbToF+r+ktrnrS6kPp1Ta3olUlBXr+lJ969o7fillOCSavh0C2VX1qz1h3xmRZXW2ID7ao2iWjVJBLlRhN+OpTr9eMwYVnNXyMLHv4AWkKC6fHrO+L6Lslu3/6/9/k/S9QQfku/ODjiM0d6netfciW+SVICCo6I6vQQOmUXA/BvpuXFid1wQ4/m+OTu/tg+b4RH9+U4Drf0tXZD9qXnEV+ZoMQXxbQ6mSPq30WCQaPhsOi2Xm7ddt0jQzCorf+zRA0RH0LLv/HxZLcaJY4Cg16ZiOrwzSAP2rbz8w3W/PEiMu2qVph2VSuv7z+5bwu8teE4dp4pwpnLFWjdNMrjx+Dno8DYqF5Btq87CAlxl7unDHS1ZZ6DpW7d0ZGLJXjsa2vLAXdqjpT4JkkJ6JWJqA6/nf/oxVLUmi0wy6hGp3lcBIZ1sB5G6232yKLQrfxA/YJsQoKpT8t4qYdQT5hOg76t7P2O+MDIep3rncnOXgZmX9vOb+MLVRQcEdVplRiJmHAdjCYLTuSVC32BpK454vGH0X6/JwcmL44u8NfuOymk2A6cJUQKHZJjpB6CU1e1ti6tPfvDEYfL3VtWq/9CwHflJ96j4IiojkbDCf2ODl0oFnaryaWQfUTnZCRGhSG/zIjNXhxGq9QmkABtOybSkvis2QZd1UCNkzs9jJy9DqQnRvo8plBHr1RElYS6o5wSYVlNLn+Xw3Qa3OzDYbRKbQJJiNQY5Bkd8ZtI6iqpqnV5XyVmkJVAJn8uCPGvHmnxAKxnrDEZ1Rzx+LT3b5n5KCjz7DBa4eBZ+UyHEEWQa+bI0EBt0Z8nL7u8L71JCgwKjogq8e/EMi+VwlhrreuR04tIh+QY9EqPh8nCsGqfZx2z+Xe/9I6REM9Y6gRH/W0HvyoZvQ4EBgVHRJVaJEQgPlKPWjND5qVSAIDcXkPsh9HmeHQYrZJrjgiRkvj3bEDrRHzz90ESjsY/6r4OvHQzHUzuDxQcEVXiOHtR9gFbp2y5xRI39myOcL0GJ/PLsfdcsdv3s8iswJwQpTCLgqOuqbGq+B0SB0dPjumEqQO978NG7Cg4IqrFL63tPFMEQH6ZoxjxYbS73C/MVvLBs4RIqe6ymjvkfuq9OL5TQawnG/L+rhPiA74ZZFWtGQA8ys4EC9/zaO3Bi6gwuncYrZIPniVESmO6pggfu7uSHRHmuhGjlMSvA/SK4D8UHBHVamh7rJwMaJ2IjCaRqKgxY92hS27dR8kHzxIipXHdU1zfqI5wN7pUS0kj+itOrwn+Q8ERUa2U2HA0jTZIPYxGcRyHW/jCbDeX1pR88CwAROjl/ceGqJerGqP4SH29y6TMHE3qk+byNuLXAbm2KlAiCo6IanEcp4js0ZS+LaDhgN1nr+BUQbnL21sUnjnilzkJkZKzHaK/zBlW77JJvV0HKP5w8PlRGNzO3in72Itj8NatvVzeT1x7+O0ez9qCkIZRcERUjd+xJmfJseG4tmMSAPc6Ziv54FlC5MJZkiU51n7238JJ3TGiUxJmXxecQ1xjw/X48m9XIfuV8ch+ZTzC3cywirNhJ/Ndv7ki7qHgiKiaUs4YukU4jPYCal0cRqvkg2cBWlYj8uBqCeqOAS3x8d39Zb/dn94kBQYFR0TVLApZhB/ROQlNo8NwudyITVmNH0bLhONDlPmiaFbI94SoW4uECADAszd0AQB8NL2flMPxmlLfJMmdqoKjhQsXon///oiJiUFSUhImTpyIrKwsh9tUV1fjoYceQpMmTRAdHY3JkycjLy9PohGTQHt74wmph+AWvdZ+GO3XLgqz7U0gAz6sgPCkGzgh/vbFzIG4d3Br3D04AwBw75DWyFowBiO7JEs7MC9R5igwVBUcbd68GQ899BC2b9+ODRs2oLa2FqNGjUJFRYVwm8ceeww//vgjvv32W2zevBkXL17EpEmTJBw1CaTL5Z4d6iol/jDaP7LykV9W3eDt+NCCU2hXE7M3nfgI8ZMh7Zvi2Ru7OBz22tDBr0pQoKDXOCXRST0Af1q/fr3D559++imSkpKwZ88eDBs2DCUlJfj444+xYsUKXHfddQCATz75BJ07d8b27dtx1VVXSTFsEkA6DQelvHS0S4pBn5bx2HuuGCv3XsD917R1ejv7sloQB+dHFBsR4j9l1e41jyWeUVXmqK6SEuuZWomJiQCAPXv2oLa2FiNHjhRu06lTJ7Rs2RLbtm1z+hhGoxGlpaUO/4hyaBW2IH+rqOdRQ8tPzJY7UtbM7EbZli/aJ0VLPBJClK9raqzwcbhe1X/Sg0q1X0mLxYI5c+Zg8ODB6NbNekpxbm4uwsLCEB8f73Db5ORk5ObmOn2chQsXIi4uTviXnp4e6KETP9JplfUjfkPPVESGaXH6cgX2nL3i9DZKzxwtnNQd/xzTEV/8baDUQyFE8cQ1RyM7K7NuSo6U9ZfDAw899BAOHz6Mr776yqfHmTdvHkpKSoR/58+7f0AokZ7SMkfRBh3G2w6jdVWYrdSaoybRBjw4vJ1DTxlCiHe0ouAoTGFvBuVMlV/J2bNnY+3atfjjjz/QokUL4fKUlBTU1NSguLjY4fZ5eXlISXF+5o7BYEBsbKzDP6IcOoUFRwBwq60we92hSyh3chgtna1GCOFxor/iGgW+3smVqoIjxhhmz56NVatW4ffff0fr1q0dru/bty/0ej1+++034bKsrCycO3cOgwYNCvZwSRAocZtrv1YJaNM0CpU1Zqw7eLHe9fbdaoSQUCd+jfvlsPPyEOI5VQVHDz30EL744gusWLECMTExyM3NRW5uLqqqqgAAcXFxmDlzJubOnYs//vgDe/bswT333INBgwbRTjWV0mmVF0KID6N1trQm1GkrMPAjhPiXOFnUulmUdANRGVUFR++//z5KSkowfPhwNG/eXPj39ddfC7dZtGgRbrjhBkyePBnDhg1DSkoKVq5cKeGoSSCJ1+PvsTV9U4LJfdOg1XDYe64YJ/PLHK5T+m41Qoj/iDNHoxTayFKOVNXnyJ3Ou+Hh4ViyZAmWLFkShBERqYkLsm/pq5ydhkkx1sNoN2bm4ZvdOfjXuM7CdUrfrUYI8R/x60BshF66gaiMqjJHhNQlDo6Y03O45evWftbNBCv35jgcRqv0DtmEEP8RZ45G0FZ+v1FV5oiQxijtSK9rOyWhabQBl8uN+P1YPkZ3te6opMwRIYSn12rw73GdYTSZkRYfIfVwVIMyR0TVKmvMwsdKC470Wg0m97UeRvuNQ2E21RwRQuzuG9YGs69rL/UwVIWCI6Jqk/vY+1xZlBYdwV4n9UdWPvJKrYfRbj1VCAAorKiRbFyEEKJmFBwRVROfNRQdrrxV5HZJ0ejXKgEWBny/NwcAcLawEgDw6dZsCUdGCCHqRcERUbWkWIPwcYsEZa7H84fRfrs7x60dmYQQQnxDwRFRtQk9rTU7Bp0GBp1W4tF4Z3yP5ogK0+LM5QrsPFMk9XAIIUT1lLfOQIgHNBoO2a+Ml3oYPoky6HBDj1R8vfs8vtmdI/VwCCFE9ShzRIgC3NrfWlj+06FLEo+EEELUj4IjQhSgT8sEtG0Whapas+sbE0II8QkFR4QoAMdxuK2/co4/IYQQJaPgiBCFuLl3C+g01PqREEICjYIjQhSiWYwB13VKknoYhBCiehQcEaIgfM8jQgghgUPBESEKMrxjM6mHQAghqkfBESEKotPaf2U7N4+VcCSEEKJeFBwRolDRBmV2/CaEELmj4IgQhdJwtHONEEICgYIjQhQqTaEH6RJCiNxRcESIwiy/dwDGd2+Op8d3kXoohBCiSnTwLCEKc02HZrimA+1aI4SQQKHMESGEEEKICAVHhBBCCCEiFBwRQgghhIhQcEQIIYQQIkLBESGEEEKICAVHhBBCCCEiFBwRQgghhIhQcEQIIYQQIkLBESGEEEKICAVHhBBCCCEiFBwRQgghhIhQcEQIIYQQIkLBESGEEEKICAVHhBBCCCEiOqkHoDSMMQBAaWmpxCMhhBBCiLv4v9v83/HGUHDkobKyMgBAenq6xCMhhBBCiKfKysoQFxfX6G045k4IRQQWiwUXL15ETEwMOI5zepvS0lKkp6fj/PnziI2NDfII/UcN81DDHAB1zEMNcwBoHnKihjkA6piHEubAGENZWRlSU1Oh0TReVUSZIw9pNBq0aNHCrdvGxsbK9ofEE2qYhxrmAKhjHmqYA0DzkBM1zAFQxzzkPgdXGSMeFWQTQgghhIhQcEQIIYQQIkLBUQAYDAY899xzMBgMUg/FJ2qYhxrmAKhjHmqYA0DzkBM1zAFQxzzUMAcxKsgmhBBCCBGhzBEhhBBCiAgFR4QQQgghIhQcEUIIIYSIUHBECCGEECJCwRFx65wZElglJSWq+D5kZmaioqJC6mEQQohPKDjyUEFBAdatW4cDBw7AZDJJPRyvFBYW4sEHH8SaNWsAKDc4unjxIgYOHIg333xT6qF47dKlS7jlllvwr3/9C9nZ2VIPx2sXLlzALbfcgn79+mHjxo1SD8creXl5WLx4MVauXInjx48DUObvRn5+PrZs2YLTp09LPRSv5eXl4YcffsCBAwcU+T3glZaWIi8vD4D16Cmlunz5MrZu3aronylPUXDkgaeeegodOnTASy+9hAEDBuD5559HQUGB1MPy2KuvvoqlS5di+fLlKC0thUajUdwL0Jw5c5CRkYHk5GRMnTpV6uF4Zfny5ejSpQtqamowZcoUREdHSz0kr8ydOxetWrVCcXExjEYjoqKiACgrsHj22WfRtm1brF27FrNnz8aMGTNw9OhRcBynqHn8+9//Rps2bfDss8+iR48eWLBgAc6ePQtAOX+c58+fj4yMDCxYsAADBgzAI488ghMnTgBQzhwAYMGCBWjXrh3ee+89AHB5lpdczZs3D507d8acOXPQrVs3LFq0CIWFhVIPK/AYcenUqVPs2muvZf3792ebN29mxcXF7LXXXmPt2rVjhw4dknp4Hhs1ahQbNWoUu+6669jbb7/NGGPMYrFIPCr3ZGZmstTUVNaxY0e2a9cuqYfjNZPJxMaMGcMWLVokXFZTUyPdgLzw7bffsri4ONarVy+2ZcsWxhhjAwYMYI899pjEI/PMZ599xvr06cM2btzIGGNs48aNbMCAAeyjjz6SeGSeee+999iAAQPYpk2bWFlZGVu6dCkbNGgQmzRpktRDc9u+fftYly5d2Pfff88qKirYRx99xIYOHcqGDh0q9dDcVlZWxh544AHWt29f1r9/fzZmzBj2559/MsaU8zrLGGMXLlxgU6ZMYf369WObNm1iZ8+eZc888wzr0qULW7NmjdTDCzhlhrJBwETvFq9cuYIxY8ZgxYoVGDZsGOLi4nDXXXdBq9UiPj5eukG6wOq84zWbzTAajYiPj8e///1vpKen44cffkBmZiY4joPZbJZopI0Tz6OkpASxsbEYO3Ys+vXrh7179+KFF17AJ598gn379kk4ysbV/V78/PPPyMrKwpw5c7Bnzx7ccccduPPOO/Hcc8/hwIEDAOT5Llk8jxMnTuDtt9/Gvn37MHToUFRUVCAmJgZVVVWora2VcJSN4+fA/79+/Xo0a9YMI0aMAADh/wEDBtS7j5yI52EymbBu3Tr06dMH11xzDaKjo/H3v/8dHTp0wKpVq7BixQoAkO3vOO+nn35CRUUFJk2ahMjISMycORPPP/88Dhw4gEWLFgGQ5++FmMFgQMuWLfHEE0/g3XffxeXLl7Fq1SpUVVUpKhN57NgxcByHd955B9dccw1atmyJ+fPno6KiQlgqVMpcvEHBkRM1NTWoqakRPu/atSvuvvtutGvXDoD1D/Tf/vY3xMbGYtGiRdixY4dUQ21Q3TkwxqDVamEwGHD8+HGkp6fj9ttvR21tLX744QfU1NQgPz9fwhE7V3cevXr1wmOPPYYPP/wQEyZMwKRJk/Dnn3/ihRdewKhRo/D6669LOFrn6s4BAKKioqDVavHdd9/hnnvuQbNmzZCeno5169Zh0qRJMBqNskvD153HU089hRkzZgAATCYToqKi0KZNG+zduxd6vV6WL5ziOXAch+rqajRr1gxlZWXYt28fCgsLMXnyZJw/fx7PPfccXn31VZjNZnAcJ/HIHdWdR2lpKXJzc9GhQweH2yUkJCAjIwNPPPEEzGYztFqtFMN1iv/5EAc7zZo1Q3R0NK5cuSJcNmTIEMyZMwfPPfccampqZPd7wc+DDzz1ej0efPBB3H777Rg4cCDGjh2Lv/76C+vXrwcA2f0s8fh58LW0PXr0wOzZszFo0CAA1u8TYwxpaWnC90yuc/EHef2UycDzzz+PIUOGYMKECVi2bBmKiooQHh6OpKQkAMDx48eRkJCAyspKTJ8+HXv27MFDDz2Et99+W+KR29Wdw5UrV4Qf4qysLGg0GmRkZGDMmDG46qqr8MEHHyA8PBzfffedrN6V1Z1HYWEhDAYDhg8fjtGjR6OwsBDff/89Vq5ciezsbEybNg2rVq3CqlWrpB66wNnPEwCUl5cjNTUVS5cuxYgRI7Bo0SK89dZbWLFiBTQaDebOnQtAPu+SG/qZ4v8g8H90Bw0ahPz8fJw/f152L5zOfp7Cw8Nx0003ISEhAU8++SSSkpJQXFyMDz74AG3atMEHH3yA+++/H4B8vxeXL19GYmIi+vXrh48++ggfffQRqqqq8Mwzz2DVqlWYO3cuoqOjheyRHLz77rt4/vnnAcCh5jE6OhoGgwG///67cNuwsDDccccdSEpKEt78yCXwFs9DHHjGxsYKY5w9ezYMBgN++OEHXLx4EYB8xs8Tz0On04ExhqZNm2LYsGEArD/7Go0G+fn5OHz4MLp37y7haIMkiEt4slZbW8umTZvG2rVrx5YvX87uuOMO1rVrVzZ+/Ph6t92xY4ewdlxVVcVmzJjBJk2axKqqqoI9bAcNzeGGG24QbnPp0iV2/fXXM8YY++mnn1izZs1YdHQ0GzZsGDMajYwx6dfFG5rHuHHjhPH9+eefbOfOncxisTCTycQYY+z8+fOsa9eu7PXXX5dy+Iwx13MwGo3s6quvZhzHseXLlwv3s1gs7I033mB9+vRhpaWlUg1f4MnvBWOMffHFF6xFixYsKysryCNtmKvvBWOMmc1m9sEHH7Dx48ezyspK4fJPPvmEJScns/z8fCmG7qCheYwdO5YxZn0tmjRpEmvbti1LSEhgbdu2ZVu3bmWMMdapUyf2ySefSDh6q/3797PRo0czjuNY9+7d2W+//cYYs86NMevvRd++fdnMmTNZTk6OcL/Kykp21113sVmzZgm3lVJD8zCbzQ634z//8MMPWZ8+fdj7778vXCf16yxj7s+D9+OPP7L27duz6urqYA5TEhQc2Zw+fZp16tTJodDs119/ZREREeytt95yeh/+h/vaa69lEyZMaPAHKljcmcPatWtZcnIyGzRoEIuJiWELFy5kzz//PBsyZAj7/PPPGWPS/9I2No8333yTMcaEgIjHjzk5OZn9+9//Dt5gG9DYHF577TXGGGPff/890+v1bOrUqQ73ffDBB9n111/PampqZP29EP9e8OPMy8tjWq3W5YtsMLk7h8cee4zdc889DvedP38+69GjB8vNzQ3aeBvizs9UZWUly8rKYtu2bRNuYzQaWdOmTWVRYP7mm2+ym266iS1fvpyNGzeOTZs2TQh2+A0Jy5cvZ+3atWNLlixxuO/QoUPZtGnTgj5mZxqbh/h3VvzxzTffzCZOnMj27t3LvvvuO/b0008Hfdx1uTsP3gsvvMDuvPNO4fM///yTff/990EbbzBRcGSTlZXFOI5jZ8+edbj85ZdfZvHx8fUu523dupUNGzaMrVq1KgijbFxjc4iLi2Pnz59nBQUFrHPnzmz69OnsxIkTjDHGzp49y4YPH86mTJni8K5ZKt5+L3744QfWu3dvduTIkWAMs1GNzSE2NpadP3+eMcbYrFmzWOvWrdkrr7zCCgoK2IkTJ9iIESPYG2+8IcWw6/H0e5Gdnc369+/PFi5cGMxhNsrdOdxxxx1swoQJ7K+//hLud91117E5c+YEfczOuPr9buj34tNPP2X9+/dnBQUFwRhmoy5dusQ2b97MGGNs8eLFbODAgezTTz9ljDm+4bn33ntZ79692dtvv81KSkrYgQMHWN++fdmKFSskGXddjc2jblDBv0HYsGEDa9euHWvSpAnT6/Vs/vz5wR20E57MgzHGrr76avbxxx+znJwcNnbsWKbVaoXbqw0FRzZHjx5lvXr1Et6B8UpKSlibNm3Y3LlzGWPWH5jDhw+znTt3sscee4zFx8ez2bNnyyLN2NgcWrduzR5//HHGmHX5qe47+q1bt7KysrKgjbUxnnwvDh06xHbu3MnmzJnDmjRpwubNmyeLtLurOTzyyCOMMcbOnDnDXnnlFRYWFsb69u3LoqKi2J133skqKiqkGHY97n4vxF/zpKQk9tRTTwV1nI1x93vx559/soEDB7LExEQ2YcIEFhMTw6ZOnaq43wuz2czy8/PZxo0b2SOPPMJiY2PZiy++yMxms+SZSLHz58+zW265hY0fP17IzPFL++fOnWMvvfQS0+l0rH///iwyMpJNnTpV8tIFZ5zNo+7ra3Z2Nps1axbjOI7dc889rLCwUIqhNsrVPLKyslhCQgIbO3YsCwsLYxMmTGCXL1+WargBR8GRTXl5ObvtttvY5MmT2ZkzZxhj9h+M119/nbVs2VLIqvznP/9hw4YNY0OHDmXbt2+Xasj1uDOHui8ucnqx5HnyvVi6dCnr378/GzRokOK+F+IsXVZWFtuwYYPs+mZ58jPFv/NfsmSJrObhag7p6elCMHr48GH22WefsZdeeont2bNHqiE75cn34sSJE2z27Nls8ODBsvq94PHjXrFiBRs0aBB76aWXnN7u8OHDbO3atezAgQPBHJ7b3J3Hiy++yJo1a8Z27twZzOG5zZ15/PTTT4zjODZ48GCHZVu1CongKD8/n50+fZqVlJQwxhyjYfE73v/+97+sR48e7NVXX3W4/7Jly1i3bt2EF6TKysqgL934aw7nzp0LzoAb4O/vRXl5edBfOP01h7Nnz0oanKrhZ8pfc8jOzg7OgBvgz58pxqxveoK9jObuHMSfV1ZWsr///e/smmuuEX6Pd+/ezRiT7o2bv+YhdXDtr3nwzXbz8/PZr7/+Goyhy4KqgyOLxcIefvhh1qpVK9a7d2/Wvn17oc5GvL5tMpnYF198wRhj7P7772dXXXUV+/HHH4XrX375ZTZkyJB6RcDBoIY5MKaOeahhDoypYx5qmANj6piHu3OwWCwO9Sn8H+vff/+djRgxgt12221szJgxjOM4dvHixeBOgtE8GpuHeOdgqFBtcPTbb7+xrl27skGDBrE//viD/fzzz2zIkCFs1KhRDrdbtmwZS0pKYqNGjWI1NTUsMzOT3XvvvUyn07EHHniAzZ49m8XFxbF3332XMRbcdzNqmINa5qGGOahlHmqYg1rm4ekcxo0bx/Ly8hyuy8vLY127dmUcx7Gbb75ZkiwezcNODvOQA9UGR6+++iqbN2+eQzHla6+9xm688UYhQv70009Zeno6+/jjj+ulGd944w02a9YsNnr0aGFbcrCpYQ6MqWMeapgDY+qYhxrmwJg65uHpHOpmtrZt28YSExNZp06dhPPHpEDzsJLLPORANcFR3d0BhYWFDltb8/Pz2YABA9icOXMctt3X3YkiZQ2IGubAmDrmoYY5MKaOeahhDoypYx7+mgOvvLxc6K8WTDQPec1DjlQRHL3wwgvs7rvvZvPnz3e6tfDrr79mGo2GDR48mE2ePJklJiayu+66S1bpQjXMgTF1zEMNc2BMHfNQwxwYU8c8/D0HqYI8moe85iFXig6Ozp07x/r06cO6d+/OHnroIZaSksL69evHvv32W4fbbdy4UWh0xZh1N0R4eDjbuHFjsIdcjxrmwJg65qGGOTCmjnmoYQ6MqWMeapgDYzQPuc1D7hQdHH366aesV69erLi4mDFmTQnedNNNbMiQIWz//v0N3q+iooKFh4ezZcuWBWuoDVLDHBhTxzzUMAfG1DEPNcyBMXXMQw1zYIzmIbd5yJ1G6oNvfZGdnQ29Xo+oqCgAQFRUFB5//HEYDAa8+uqrDd7vq6++Qp8+fTB+/PhgDbVBapgDoI55qGEOgDrmoYY5AOqYhxrmANA85DYPuVN0cFRdXQ2dTof8/HzhsmHDhmHs2LHIzMzExo0bhctPnDiBkydPYvbs2Zg3bx4mT56M5s2bSzFsB2qYA6COeahhDoA65qGGOQDqmIca5gDQPOQ2D9mTOnXlDb5CPzMzk3EcV+/Q1/3797OBAweyV155hTHGWFFREfv3v//NWrduzQYPHtxo6jFY1DAHxtQxDzXMgTF1zEMNc2BMHfNQwxwYo3nIbR5KIdvgqLEDBsX9Pm655RbWu3fveq3yBw4cyGbPni18fuTIEeG07WBRwxwYU8c81DAHxtQxDzXMgTF1zEMNc2CM5sGTyzzUQHbLajU1NXjssccwdepUTJ8+Hf/73/+E62prawEAOp0ONTU1OHnyJN544w0cO3YMixYtQklJCQDAZDLBYDAgMTFRuG+XLl1w9dVX0xxCbB5qmINa5qGGOahlHmqYA81DfvNQFamjM7FVq1ax9PR0Nnz4cPbOO++w7t27s8GDB7PvvvvO4XZvv/02i4yMFA5fXLZsGWvXrh0bPXo0++GHH9hjjz3GmjdvLskJyGqYA2PqmIca5sCYOuahhjkwpo55qGEOjNE85DYPtZFNcHTy5Ek2adIk9txzzwmX5efns2uvvVZYQ62urmb3338/S0pKYp9//rlDd9Aff/yRjRs3jg0aNIj169ePbd++PdhTUMUcGFPHPNQwB8bUMQ81zIExdcxDDXNgjObBk8s81Ejy4Ijvynn06FH2wgsvsNOnTzPG7OurI0eOZH/7298YY9aCtOPHj7OSkhLh/nXbp+fm5gZj2A7UMAfG1DEPNcyBMXXMQw1zYEwd81DDHBijefDkMg81kyw42rFjB2OM1Tv4TsxoNLKrr76affzxx8EalkfUMAfG1DEPNcyBMXXMQw1zYEwd81DDHBijeZDgC3pB9urVq5GWloaxY8ciOzsbWq0WZrNZXAMlfFxbW4uCggJ07do12MNslBrmAKhjHmqYA6COeahhDoA65qGGOQA0DyKdoAZHX375JV5++WUMGzYMXbp0wSuvvAIA0Gq1wm04jhM+/vPPP1FWVoYOHToIl+Xl5QEALBZLkEbtSA1zANQxDzXMAVDHPNQwB0Ad81DDHACah9zmEWqCEhzxEXK7du0wYsQIvPrqq7jpppuwadMmbNq0yeE2YqtWrcK1116LhIQE7Nu3D9deey0eeOABWCwWaDTBTXqpYQ7iMSp5HmqYg3iMSp6HGuYgHqOS56GGOYjHSPOQxzxCViDX7I4fPy4UnvH4grPDhw+zm266iY0bN064Tnxbs9nMJkyYwF5//XU2e/ZsptFo2PTp01lNTU0gh1yPGubAmDrmoYY5MKaOeahhDoypYx5qmANjNA/G5DWPUBeQ4Ojrr79mGRkZrGPHjmzAgAEOhWXiH4T//Oc/rEuXLuw///kPY8yxAv/cuXOM4zjGcRy7+uqr2dGjRwMx1AapYQ6MqWMeapgDY+qYhxrmwJg65qGGOTBG85DbPIiV34OjX3/9lWVkZLAlS5aw9evXs7lz5zK9Xs+WLVvGKisrGWP2KDonJ4fNnDmT9e/fn5WVlTHGrJX6jFkj7Ntuu41t2LDB30MMiTmoZR5qmINa5qGGOahlHmqYA81DfvMgdn4LjvjI+IUXXmB9+/Z1SAM++OCDrF+/fmzlypX17rd27VrWr18/9txzz7EDBw6w8ePHs3PnzvlrWB5RwxwYU8c81DAHxtQxDzXMgTF1zEMNc2CM5iG3eZD6/J45uu2229itt97KGGPCD0pRUREbMmQImzFjBrt06RJjzN7noaKigj344IOM4zim0+nY6NGjWXV1tb+H5RE1zIExdcxDDXNgTB3zUMMcGFPHPNQwB8ZoHnKbB7HzOjj69ddf2cMPP8wWLVokNLZizHreS0xMjPBDwP+gLFu2jHXo0IFt2rRJuG15eTlbtGgR02q1bPjw4ezgwYPeDidk58CYOuahhjkwpo55qGEOjKljHmqYA2M0D7nNg7jmcXB08eJFdsMNN7CkpCQ2depU1r17dxYXFyf8oGRlZbG0tDT2zDPPMMbsa6mMMZaSksIWLVokfH7kyBE2cOBA9tlnn/k4jdCbA2PqmIca5sCYOuahhjkwpo55qGEOjNE8GJPXPIj7PAqOKioq2IwZM9htt90mnAXDGGMDBgxgd999N2OMsdLSUrZgwQIWEREhrKHy67LXXHONcF6MVNQwB8bUMQ81zIExdcxDDXNgTB3zUMMcGKN5yG0exDMedZSKjIyEwWDA3XffjdatW8NkMgEAxo0bh8zMTDDGEBMTgzvvvBN9+vTBrbfeirNnz4LjOJw7dw75+fmYOHFiINo1hdQcAHXMQw1zANQxDzXMAVDHPNQwB4DmIbd5EA95Gk2Jq/H5/gx33nknu++++xxul5OTw9q1a8cyMjLYlClTWGpqKrvuuutkcXqwGubAmDrmoYY5MKaOeahhDoypYx5qmANjNA+5zYO4j2NMdOKdl4YMGYL77rsPM2bMEM5+0Wg0OHnyJPbs2YMdO3agZ8+emDFjhs/BXKCoYQ6AOuahhjkA6piHGuYAqGMeapgDQPMgCuFrdHXq1CmWnJzMdu/eLVwmLkZTAjXMgTF1zEMNc2BMHfNQwxwYU8c81DAHxmgeRDm8PsWO2RJOf/75J6Kjo9G3b18AwAsvvIBHH30U+fn5/oneAkgNcwDUMQ81zAFQxzzUMAdAHfNQwxwAmgdRHp23d+Q4DgCwc+dOTJ48GRs2bMCsWbNQWVmJzz//HElJSX4bZKCoYQ6AOuahhjkA6piHGuYAqGMeapgDQPMgCuRL2qmqqoq1a9eOcRzHDAYDe+WVV3zLY0lADXNgTB3zUMMcGFPHPNQwB8bUMQ81zIExmgdRFp8Lsq+//nq0b98eb731FsLDw/0VswWVGuYAqGMeapgDoI55qGEOgDrmoYY5ADQPohw+B0dmsxlardZf45GEGuYAqGMeapgDoI55qGEOgDrmoYY5ADQPohx+2cpPCCGEEKIWXu9WI4QQQghRIwqOCCGEEEJEKDgihBBCCBGh4IgQQgghRISCI0IIIYQQEQqOCCGEEEJEKDgihISETZs2geM4FBcXSz0UQojMUZ8jQogqDR8+HL169cLixYsBADU1NSgqKkJycrJwRhYhhDjj9cGzhBCiJGFhYUhJSZF6GIQQBaBlNUKI6tx9993YvHkz3n77bXAcB47j8Omnnzosq3366aeIj4/H2rVr0bFjR0RGRmLKlCmorKzE8uXLkZGRgYSEBDzyyCMwm83CYxuNRjzxxBNIS0tDVFQUBg4ciE2bNkkzUUJIQFDmiBCiOm+//TaOHz+Obt26Yf78+QCAI0eO1LtdZWUl3nnnHXz11VcoKyvDpEmTcPPNNyM+Ph4//fQTTp8+jcmTJ2Pw4MG47bbbAACzZ8/G0aNH8dVXXyE1NRWrVq3CmDFjcOjQIbRv3z6o8ySEBAYFR4QQ1YmLi0NYWBgiIyOFpbRjx47Vu11tbS3ef/99tG3bFgAwZcoUfP7558jLy0N0dDS6dOmCa6+9Fn/88Qduu+02nDt3Dp988gnOnTuH1NRUAMATTzyB9evX45NPPsHLL78cvEkSQgKGgiNCSMiKjIwUAiMASE5ORkZGBqKjox0uy8/PBwAcOnQIZrMZHTp0cHgco9GIJk2aBGfQhJCAo+CIEBKy9Hq9w+ccxzm9zGKxAADKy8uh1WqxZ88eaLVah9uJAypCiLJRcEQIUaWwsDCHQmp/6N27N8xmM/Lz8zF06FC/PjYhRD5otxohRJUyMjKwY8cOZGdn4/Lly0L2xxcdOnTA1KlTMX36dKxcuRJnzpzBzp07sXDhQqxbt84PoyaEyAEFR4QQVXriiSeg1WrRpUsXNGvWDOfOnfPL437yySeYPn06Hn/8cXTs2BETJ07Erl270LJlS788PiFEetQhmxBCCCFEhDJHhBBCCCEiFBwRQgghhIhQcEQIIYQQIkLBESGEEEKICAVHhBBCCCEiFBwRQgghhIhQcEQIIYQQIkLBESGEEEKICAVHhBBCCCEiFBwRQgghhIhQcEQIIYQQIkLBESGEEEKIyP8DyrEa3N1luGcAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%time\n",
    "zarrs.depth.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "d34a0e96",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 121 ms, sys: 4.34 ms, total: 126 ms\n",
      "Wall time: 450 ms\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f2f800e1a60>]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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xPWqfpSYHeyo3mo0K9Ue32Aa1HmvLIGtWjhyPyRF5DKXMVtt59jr+/ctRFJdV1H0wkYL9dSwDpeVatGoU7LJ90erzPqKfpTa8Q7TJRrOW2JIcccyR4zE5IkUz3qNIo5CdZ+9btAff7U7Dgr/PSN0UIkn9ol/bqEczl60M/cP+S3Y9TwhhWN/ImllqtlSDuFGt4zE5IkXzNnrD1CogOSrXVC1K98+lPAlbQiStrPxS7Dh7HUDdCz860qG0XLued/xqPtLzShHo6222XYkltiQ8wTZuN0J1Y3JEiqYxKoFrFNCt9tOBy4bvd53PlrAlRNL69chVaAXQs3kDNG8Y5JSfsePFm83uq6s7rCb6WWpJbRuZbTRrSYgNCc/+1Bt2tYlqxuSIFM24K03j5tuHqCs0+GTjWambQSQL+i41Zw7EbtYgEKnzR5ncZ2duZBhvdEvHmDqO1LFlGEBcZKBdbaKaMTkiRTMePOmo3bSlsnLfJVzJLZG6GUSSO5tVgGNX8uHjpcKortYt/OgoXnaMbbp8oxgn0/Nr3GjWkr+OZ1p9fld2K3oKjuIiRTP+8JVdVCZdQ+qptFyDT1k1IgIA/FK5ttGQtlGItLBxqzPZM+57Q2XVqHeLSIe3t3plixyDlSNSNKXMUPtu90VkFajRrAHL5+TZtFphMkvN1eyZFbfehllqet729t+RQzA5IpK5InUFFm4+BwCYdnMC7uvbXOIWEUnnQNoNXL5RghB/Hwzv4JiNW21ha86SV1KOPed1q/MPtyE5sqb7bd2MJNsaQ1ZjckQkc0t3pSK7qAwtGgZhQq9YJESFAAAS4yMkbhmR6/1ySFc1uq1zDAL9XDOFPd5oNpytY442p2ShQiuQEB2Clo2s32g22YpEqm3jUJvaQtZjckQkY/ml5fhiy3kAwHPD2sDX2wtNGwQA4Ea65HnKKrRY8086ANcOQp49soPhe1s7u9ZbudFsda5a1JIsY3JEJGPfbL+AvJJytI4KxhjDxUD3psnciDzN5pQs5JWUIzrUH/1bN3TZzzWu4tiStJRVaK3eaLY6pkbSUlRyNG/ePCQmJiI0NBTR0dEYO3YsUlJSTI7JyMjAgw8+iJiYGAQHB6Nnz5746aefJGoxuYMzmQW4f9Fu7L2Q49Kfm1tchq+3XQAAzLilrWGApv692d2XJiCylX4g9pjuTV06YNk4IbKlW23PhWwUqCvQKMQf3evYaNb8Z9p0ODmYopKjLVu2YMqUKdi9ezfWr1+P8vJyJCcno6ioyHDMpEmTkJKSgl9//RVHjx7F+PHjcffdd+PQoUMStpyc4VqB2iHneXjJPuw4m427v9jlkPNZ68ut51GgrkD7mFCM7NzEcL/+PZOpEXmS/NJybDiZBQBGVVTXsyUns2Wj2eqYHElLUescrV271uT2kiVLEB0djQMHDiApSTeqf+fOnVi4cCH69OkDAPj3v/+Njz76CAcOHECPHj1c3mZynv/ZuUFkdZdvuH7hxeuFaizZmQoAmHlLW5M3Vv2nWBaOyJOsPZqBsgot2kSHoFPTMMnaYW3SIoQwrG9ka5caSU9RlaPq8vJ0G3NGRkYa7hswYABWrlyJnJwcaLVarFixAqWlpRg6dKjFc6jVauTn55t8kfxptALL96RJ3Qy7fb75HIrLNOgaG272xsrKEXmiVYeq1jaScrCytd1qx6/m42rlRrMDE+reaLa6q7mlNj+HHEexyZFWq8X06dMxcOBAdO7c2XD///73P5SXl6Nhw4bw9/fHk08+iVWrViEhIcHieebNm4fw8HDDV1xcnKtCoHrYnJLltlttZOaX4tvdFwHoqkbVLwRe+r9alo7IQ6TnlWD3Bd1Gy2O6u3a7kOqs7a7Xd6kNbmPdRrPVHb+aZ/NzyHEUmxxNmTIFx44dw4oVK0zuf+WVV5Cbm4sNGzZg//79mDlzJu6++24cPXrU4nlmz56NvLw8w9elS47pqiHn+q4yuXBHn206C3WFFr1aRGBI2yizx1WVtSOFLP5NVKdfD1+FEECf+EjERgTV/QQn+rmyglUXe6fw6wX4uGYNJ7JMUWOO9KZOnYo1a9Zg69atiI2NNdx/7tw5fPrppzh27Bg6deoEAOjWrRu2bduGzz77DJ9//rnZufz9/eHv7++ytlP9XcopxubTuumzLRsF48L1ojqeIR9XckuwYq8uAX8+2bxqBMDQrybYsUYewrhLzR1cyS3BCRs3mq2uT8tIqxMxcjxFVY6EEJg6dSpWrVqFjRs3omXLliaPFxcXAwC8vEzD9vb2hlardVk7ybmW702DEMCghEZoHintp0xbfbrxDMo0WvRv1RADWlsep2AYc8TciDzAqYx8nMoogJ+3F0Z1aVL3E2RAPxC7V4sINAyx78O1rStxk2MpKjmaMmUKvvvuOyxfvhyhoaHIyMhARkYGSkp0Y0/at2+PhIQEPPnkk9i7dy/OnTuHDz74AOvXr8fYsWOlbTw5hLpCg5X7dJWXB/o1R7C/40rTvt7OfbO6mF2E/+2/DEBXNaoJZ6uRJ/nl0FUAwNB2UQgP8pW4Ndapb5caAIzq6h6JoFIpKjlauHAh8vLyMHToUDRp0sTwtXLlSgCAr68v/vjjD0RFReGOO+5A165dsWzZMixduhQjR46UuPW1E0Ig/sXfEf/i71I3RdbWHstATlEZGof5Y3iHxnjl9o4OO7eft3P/XBb8fQYarcCQtlHoHR9Z43GcrUaeQqsVWF258OM4N+lSyyspx+7zusHjt3SMsfs8wf6KHPXiNhT1v2/NisFt2rRxyxWxjcfNrDp0GeN6xNZytOfSD8S+J7E5fLy90CQ80GHn9rdjxom1zmYVGjbUnHlLzVUjgCtkk+fYcyEH6XmlCA3wwU12jt1xtS2nr6FCK9A6KtimjWZJXhRVOVKyG8Xlhu9nrDwiYUvk61RGPval3oC3lwr39mnu8PP7+1T9uaw7noF+b/+NPZWfEOvr4w2noRW6Mny3uAa1HsuxCOQp9FWjkZ2b2DUd3hmer+PDS1WXmv1Vo9roZ7D+8exgp5yfdJgcuYnSco3UTZC973frFn28pUNjxIQHOPz8xsnRE98eQEZ+KR78em+9z3syPd+w03hdVSOgqltNy8oRKVhpuQa/H9X9Xchhllq32HAAwAfrT9d4TFmFFptP6bY4cdaq2Esf6YNzb49ERwlXCfcETI7cRE5RmdRNkLUidYVhuu8D/Vo45Wf4W1h3pNwBsxw/qnyzHdWlCTo0seINz9CtVu8fTSRbm05loaC0Ak3CA9C3Zc1j8FzlyOW6F2XceyGncqNZP/SoowJcH67cdNdTMTlyE9WTI443MfXL4SsoVFegZaNgDGjd0Ck/w99X9+dyMO2G4b76/hqOXs7DuhOZ8FIBM25pY9VzVOAbIynfL5VdaqO7N7V501aprD+RAQAY1r6xU9r8xphODj8nWcbkyE1kV0uOnv8fxx3pCSHwXWWX2v19mzvtjdTP2wsarcC3uxy3+vYH61MA6HYZT4gOtem5TI9JqXKLy7DplG4hV3eZpSaEcMgUfmNRoVVrJC19pA8e7B/vkPNS3RQ1W03JblRLjn4+dAUfTuwuTWNk5mBaLk6m58Pfxwt39nLsLD6t0R4d/r5euPPznTiUlmu4rz7l7QMXb2BzyjV4e6nw3DDrqkaA9buCE7mrP45moEyjRfuYULSPcY+xNSfSdRvNBvh6YVAb2zeatWT37GE4k1WAttGhblM9UwpWjtwExxzV7PvK6fu3d22KBkF+Dj13maZqTJG/j7dJYlRfH1ZWje7sGYt4O6b8smuVlErfpSaHgdjWqtpoNsphM+u8vVRoHxPGxEgCTI7cRHaRdTtBe5qcojKsqZzR8kA/x0/fN54laDxbTc/et6xd57Kx42w2fL1VmDYswabnchFIUrLLN4qx90IOVCpgdLemUjfHao7uUiNpMTlyEzeKys3u+9ePR7Bib5oErZGPH/ZfQlmFFp2ahqG7E2aHlJZXVY4sfXqzp4tLCGGoGt2T2NzmXcYtbkZLpBCrD+u2C+nXsiGaNnDcIq7OdCW3BMev5kOlAoa5yWKVVDsmR26i+oBsAPjf/st48eejErRGHrRageWVyeED/Vo4JWlQVxitL+WgUs3WM9exL/UG/Hy8MOUm26pGJlg6IoURQhhWipfbQOynhrSu8bG/T1ZuNNvc/o1mSV6YHLkBrVbgRjHHHFW37ex1XMwuRqi/D8Z0d0753bhyJByQjQgh8OE6XdXowX4t7FqskoUjUqoT6fk4k1UIPx8v3NbFOStM22t8T12yFhlsPq6RXWrKw+TIDeSXlkOjZZmgOv0+ahN6xSLIzzkTLx29MvnfJ7Nw5HIeAn298fTQmj+JWoOvCFIafdVoeIdohAX4StwaU/pe9ervxfmlxhvNMjlSCiZHbkA/Uy2UuzQbXM0tMZSy7+/r+IHYeuoKo8qRhWzElgUZtVph2Hpg8oB4NLKz/G4YkM3ZaqQgGq0wjDca211eXWpA1Z6G1bft2ZJyDeUagVZRwWgVFSJF08gJmBy5AX1yFBnih/iGtg3eVaoVe9OgFUDflpFo09i2xRNtYVw5spSLGE/1r8va4xk4mZ6PEH8fPJnUyu42sVuNlGj3+WxkFagRHuiLoe3kN6hZv6aZtlrliF1qysTkyA3oB2NHBPlh5ZP9zR5PzytxdZMkVa7RYsW+SwCct4+anklyVI+OLI1W4MPKqtEjg1oiwsK4BVuxbkRKot8bcVTXJvCzsGyG1PSVI43Rp6RyjRabUnQbzSYzOVIU+b0CyYx+deyGwX5oHGY+gPfNNSdd3SRJrT+RiawCNRqF+OPWTnUP2hzVpYndP6uubjVr/XbkKs5mFSI80BePDmpp/4kA2L+6EpE8lZZrsPaYbl8yuc1S06uqHFXdt/dCDgpKdRvNdo+LkKhl5AxMjtyAvnJkaZYEABSoK1zZHMnpB2JPTIy16hOm8ZvtgYs3ajnSnGnlyD4VGi0+3qCrGj2R1ArhgY4ZaMohR6QUG05molBdgWYNAtGruTyTDEuVI32X2s3to+u1lRDJD5MjN5BTR3K09fQ1VzZHUueuFWLnuWyoVMC9fawbiG08Ricrv9Smn1daYf2Yopr8fPAKUrOLERnsh4cGxNf7fBxzREqjn6U2tkdT2W6V4VV5tdTPVjPdaFZeyw5Q/TE5cgN1JUee5PvdukUfb24XbfXK0sbJxOnMQpt+nrqOAdl1KavQYsHfZwAATw9pjWAHzjhMyylGfqn5yulE7iSnqAybU3Qf8OQ4S03P2+iNRAiBE+n5uJJbottoNsExG82SfDA5cgNySY6EEHh51VEs2XFBkp9fUqbBjwdsH4htPN3+o8ruLWupTSpHtmdHK/dfwpXcEkSF+jts8Ljx5+quc9Y55JxEUvn9aDoqtAKdm4U5deZpfRl3m2m0AhtO6AZiD0qIQqCfYzaaJfngwjluQJ8cNQyRNjnadS4b3+/RVW4eGljfQcW2++3IVeSXViAuMhBJbaOsf2I9qvTGY46Ky2xbELK0XIPPNp4FAEy9KcFhb6DcW42UxNClJuOqEWC6t6JGCKw/qRtAzllqysTKkRvIMZrKX5NyG9bbsde5a7Z1STnad3t0A7Hv69PCpsGP9UkljCtHO89l2/Tc5XvSkJFfiqbhAbinT1w9WkGkTGnZxThw8Qa8VMAd3ZyzBZCjeBl9KLl8owTHrug2mr25g/zWZKL6k01ytG3bNjzwwAPo378/rlzRfZL49ttvsX37dolbJr3sIjUAoGFwzSsqF6vrv83FznPX8djS/biaa3ndJP3YGSn8czkX/1zOg5+3F+7uHWvTc+tTabF3+5Disgr83+bKqtHNbeDv47iyO+tGpBS/HNa91w9MaGRxmRI5MR5ztO64biB2z+YRdq90T/Imi+Top59+wq233orAwEAcOnQIarUuGcjLy8Pbb78tceukVVKmMWx+GllLt1phWf2n89/31R5sOJmJf/34j8XHrxdKt/mtfvr+iC4xNu96XZ9kwt7kaNmui7heWIbmkUG4y8ZkjsgTCCEMydEYmXepAVWz1QDgr+O6LjWuiq1cskiO3nzzTXz++ef46quv4OtbtQbMwIEDcfDgQQlb5lq5xWVmS9Prq0Z+3l4IrmXMyuWcYoe1o6bKkVTyisvx6xHdnkv2DGquz3JAajum8heUluPzLecAAM8OawNfb8f+mWXYuBwBkRwdvZKH89eKEODrhVs7yT/JMK4cHb6UC4DJkZLJIjlKSUlBUlKS2f3h4eHIzc11fYMk8M/lXHR/fT0eWbrP5H7jmWq1dQ81qGU8kq2qb6xoyU8HLhsGUjrbTwcvo7Rci3aNQ9G7he0LxGm09o/HsqdytHhHKnKLy9EqKhhjuzt+HEWJjQPDieRIv13ILR1jEBrgmIVRnan6OMdWjYLRmhvNKpYskqOYmBicPXvW7P7t27ejVSv7N+h0J1OXHwIAw3ofepam8e+ePczs+dYkNNbysmKMzvM/HMH0lYedfqEWQuD7yoHYD/Rrbtf4oWNX8u3++fouTWvlFZfjq23nAQDTh7eFj4OrRgAQFcoxDuTeKjRa/HYkHQCc8gHCGaq/97BqpGyySI4ef/xxPPfcc9izZw9UKhWuXr2K77//HrNmzcLTTz8tdfNcYlAby4uIWUqOGoeZXxw1WsclR3GRposrLt+ThhdqGIe0cl+aw36uJbvOZ+PctSIE+XljrJ17LtVnfSh1hW3J31fbzqOgtALtGofi9nrs6VabAa0bOuW8RK6y41w2rheqERHka9uyHDLC5EjZZLHO0YsvvgitVothw4ahuLgYSUlJ8Pf3x6xZszBt2jSpm+cSt3RojOV70uClAs5fK0SrynKtpeTIUvXkxNV8dG4WbvfPN64AtY8xXYjtpVVHa3zeyv2XnbrmkX5F7LE9mtldeg8NsP9lbkvlKLtQjcWVC2TOuKWt07ZB4DpH5O70XfJ3dGvq8DF5rtJDpnvAkWNI/qrUaDTYtm0bpkyZgpycHBw7dgy7d+/GtWvX8MYbb0jdPJfRv0FoBXDzB1sM99e06ezihxJNKkhl9Vzn6ExWgeF7WxabdOb6Sln5pYZZIQ/0tX91aWu6CWtiy5ijL7aeR1GZBp2bhbnFAFMiKRSXVRj+ru2tBkulT3wkAKBn8wbcaFbhJK8ceXt7Izk5GSdPnkSDBg3QsWNHqZskCa9qaWp6XgmahAfihn517GrJ0U3to7HnpeG498vd2HU+u17VEQA4lV6VHNkyfOlsVt0LQ+YWlyE9rxQdmoTZ1KaV+y6hQivQq0UEOja17bnG+tejG6rMytlqWQWlWLYrFQDw/C3tWN0hqsH6E5koLtOgRcMg9IhrIHVzbPLtY32wP/UGerJqpHiSV44AoHPnzjh//rzUzZCUd7WLaf95GwFUVY4iahg3E+yvm95v69YW1Z3MqBq0bJwbXS9U1+u8AND37b8xYsE2HL2cZ/VzKjRaLN+r61J7oF/zev38+izSZm3l6P82nUNpuRY9mjfA0HbOH0Ohrxr2aN7A6T+LyJH0s9TGdG/mdh8i/H28MTChEfdS8wCySI7efPNNzJo1C2vWrEF6ejry8/NNvjyBpRLtt7tSq/ZVqyE5upitW9/ImgpObWqqHOnPX5t5f56s8bHsQrVhrSD9LC5rbDyVhfS8UkQE+WJEZ+cMbLZGqRWVo6u5JVheuefcrGTXVI1euK09ALjFFGgiveuFamw7cx2A+8xSI88ki+Ro5MiROHLkCEaPHo3Y2FhEREQgIiICDRo0QESEZ5QvLU02e2X1cUO3Wk0zrs5UJkVfb79g988WQuCUSeWoqjH6ylRtvthy3mzxSr1eb24wfK9fyNEa31UmG3f3jkOAr3Sf0tRWVI4+3XQWZRot+raMdNlMMv04KiGE4YtI7tYcuQqNVqBbbLhh0gmRHEk+5ggANm3aJHUTJJddQ/dVTQOy9Xq3iMD+izdwVy/7t6jIKlDjRnG54bbxdXbr6WsWnmFu46ksDHfQ1NaL2UWGn3tf3/p1qdWXNZWj/+27BAB43kVVIwDQ/xitEHh4yT5kF5Zh1TMDnLKuEpGjrDqs+4DkbgOxyfPIIjkaMmSI1E2QXMuoYIv355XokpaakiP9ytjHr9rf/Xgqo8Dk9jfbL2DKTQkAgLf/OGXVOT7fcs4sOcrIs7zNxfoTmZj3x0l8fE93dI1tYPa4vosqqW0UWjS0/P/iCuUarcn6USqV5cHqFVqBwW0aoU/LSJe1TV850mgFdpzVJZKnMgrqtZwDkTNduF6EI5dy4e2lwu1d2aVG8iaL5Gjr1q21Pm5paxGl8ak+Xc2ISlXz9iAbTup2hz6RXo/kqNpz9dUqa7RqFIzz14uw/+IN7E/NQe/4qgTBeHkAvbzicjy+bD8A4NGl+7Hv5eEmj5eWa/C//bpKzAMSV42q76tWW8/V88ntnNwaU/rkqEJT1agSOzfJJXIF/dpGgxIacZV3kj1ZJEdDhw41u8+4e0KjUf6bvq93LfumBfo6dU2N6pUjW2ycNRQv/vQPVuy7hM+3nMMio+Towa/3mh3/9faqQdnXCtQoKdOYzPz481g6bhSXo0l4AG5uH213uxzB2plqwztEo7uLpyTrXw7lRpUttY1bnRC5ihACvxzWJUfj2KVGbkAWAxRu3Lhh8pWVlYW1a9ciMTER69atk7p5LlHbWJH6bH9hjZP1qDoBwBNJraBSARtOZuF0Zu2JVpnGtPyysHL3er3vKlfEvrdPc8nHz1ibHM24pa2TW2JO/+HBeMB4QWl5TYcTSerQpVxczC5GkJ83krlAKrkBWSRH4eHhJl+NGjXCLbfcgnfeeQf/+te/pG6eS/jUUhlqGOy8EnRZhRbnrtm3DMA7E7oAAFpFheDWjjEAdDPXaiNgmhxdvlG1VMDJ9HwcuHgDPl4q3JMYZ1ebHEnfrVbb7wYAOjV1/TgffZMqjCpH605kurwdRNZYXdmldmunGAT5yaLDgqhWskiOatK4cWOkpKRYffy8efOQmJiI0NBQREdHY+zYsSbPT01NhUqlsvj1ww8/OCMEq9V2Aa6tcjSzsmph70KH568XolwjEOJv+Q0rvmGQ2X3PDG2NA/8ejomJVWOCnhraGgCw+vAVXM0twYyVhy2er/q4nZ8PXjF8/93uiwB0b6DRYQG2hOEU+sqRv4/8/kz0Y46MV/DmhrQkR+UaLX77Jx0AMIZrG5GbkEUK/88/pju+CyGQnp6O+fPno3v37lafZ8uWLZgyZQoSExNRUVGBl156CcnJyThx4gSCg4MRFxeH9PR0k+d8+eWXeO+99zBixAhHhGK32gZk17Q6NgA0axAIAHZvr5FSOd6ofUwo9l+8Yfa4plo28/wtbTFtWBuz47rHNUC/VpHYfT4HX2+/YFgFt7qa1uMpKC03DNi8v54rYjuKftPZkAAfFNWwAnlPiVao1r9c0nKqKm+HLuVibI9mbruRJynTtjPXkFNUhkYhfhiU0Ejq5hBZRRbJUffu3aFSqcwunP369cM333xj9XnWrl1rcnvJkiWIjo7GgQMHkJSUBG9vb8TExJgcs2rVKtx9990ICZF2QbJacqMaV8cGqta7sXcRwJOVK2O3b2I5OdJWFiam3pSA2zrH1DpV/KkhrbH7fA7+W7nthyU1rBWJXw5dQVGZBq2jgtG/lTwqIOoKXUKk6wawvA5VdKg0FS5L6ykt35OG8EBfw+rZRHLwyyHd2kZ3dGsq+ThCImvJ4pV64cIFnD9/HhcuXMCFCxdw8eJFFBcXY+fOnWjf3v43+rw83V5ekZGW1585cOAADh8+jEcffdTun+Eotc1Gq61brb5rDupXxm4XE4ZWjczXFNJWJl3JnRrXuYbOkLZR6NAkrNZ93jQWsiMhhGEg9v19WzhlIcVpNyeY/Dxr6Gd/BdayQrel5QpcQd+tVr1t+jWiiJzlam4Jnv7uAPZeyKnz2EJ1BdadyAAAjO3OWWrkPmSRHG3ZsgUxMTFo0aIFWrRogbi4OAQEBKCsrAzLli2z65xarRbTp0/HwIED0blzZ4vHfP311+jQoQMGDBhQ43nUarVL9nrzqiUhqDU5gn4bCft+rn5PtQ4xoUiINq+e6ZOZ2tpnaItKhaeGtLK5Dfsv3kBKZgECfL0woR4rfddmUv94w/fV1y+qiX7MUW2bTDat7NZ0NX0uXX1tI/2ioUTO8sJP/+DPYxm4+4tddR7717EMlJZr0apRMLrGcoFSch+ySI4efvhhQ5XHWEFBAR5++GG7zjllyhQcO3YMK1assPh4SUkJli9fXmfVaN68eSYz6eLinDOLqr6VI60d2dGNojJk5OtWsW4bE4qDablmx+jPa+06S6O6NEFcZM0JQ3FZhdl9+oHYo7s1RXigczZSjQiqOm9JLZUtY/okqrbK0Vtju9SvYXaq70bDRPYyHudWVscHDf3aRmN7NHPZ1jpEjiCL5EgIYfEP5/LlywgPt/3TxtSpU7FmzRps2rQJsbGWKxE//vgjiouLMWnSpFrPNXv2bOTl5Rm+Ll26ZHN7rOFtZ+VIz57KkX7xx9iIQIQF+OK6hf3d9L1g1iZHPt5eeHxwzdWj/+2/bHbfn0d1ZfcH+rWw6mfYw8fbyxBDmca2ylGAb81/JmGB0gzbS71eJMnPJc92KacYF7OrkqO2//4TPV5fZzFJysovxY6z1wFwlhq5H0kHZPfo0cMwlX7YsGHw8alqjkajwYULF3DbbbdZfT4hBKZNm4ZVq1Zh8+bNaNmyZY3Hfv311xg9ejSioqJqPae/vz/8/Z2/1L2XnZUjw+7ssD07Sqkcb9Q+xnymmz5hrepWs/68d/WKw6urj1t9fJlGi66x4Rb3WXMkfQjWJpJVU/lrrhw5q9JVl6Aall4gcpaC0nI8tnS/2f03isvx7H8P4bnhbdAw2M+wDMevR65CK3QzOqXcI5HIHpK+w44dOxYAcPjwYdx6660mM8b8/PwQHx+PCRMmWH2+KVOmYPny5Vi9ejVCQ0ORkaGrSISHhyMwsKqr5+zZs9i6dSv++OMPxwTiZNZ0q9WnctShSajZYxVaAV9vFbQ2jDnSq22MTk2cWTXSM/xfWZlI6rvV/GuoHJ1+c4RkXQUP9GuBhZvP1X0gkQNotALPrTiMlBpWwF97PANrj2cYbqfOH8XtQsitSZocvfbaawCA+Ph4TJw4EQEB9ZsWvXDhQgDme7UtXrwYDz30kOH2N998g9jYWCQnJ9fr57mCn7cXAmoZ82IYkG3HuU8a1jjSVY68VFXdaKsOXcHdveMM6xw5c2+3sAAf3OGCXbp1iYywoXKkS45q+v/3k3BxyNqWdyBytHl/nMTGU1nw9/HCiif6YdG2C/j9aHqNx5/NKsCxK/nw8VJhlAv+tokcTRZjjiZPnlzvxAjQdQVZ+jJOjADg7bffRlpaGrxqW1xIJuoaH2PvOkcarcDpyuSoXYyucjRvfNXg4msFuvFH+gHZtlSObHVnrzi7qk220kdg7eD10gr5rpBdW5uW7LjgwpaQ0q3Ym4ZF23WvqQ/v7o4ezSPw2f09kTp/FFLnj7L4nOEfbgWgW97D2XtDEjmDLN71NRoN3n//ffTp0wcxMTGIjIw0+aKa2TqORi8tpxgl5Rr4+3gZtggxnsqvH2ukXwSytjFR9eWqFbFt7YJU11E5klJt3XlzfjvhwpaQku06l41//3IMgG6rolFdm9j0/LHsUiM3JYvkaO7cufjwww8xceJE5OXlYebMmRg/fjy8vLwwZ84cqZsna1XjaGxzKl03GLtt41DDqrXGW5jokyNDt5oTK0eto1yzOrmt1S995SjAwoBs46UBiJQo9XoRnv7+ACq0AqO7NTVZSNXYhXkjcfL127D1/91k9tjwDo2d3Uwip5BFcvT999/jq6++wvPPPw8fHx/ce++9WLRoEV599VXs3r1b6ubJnH4RSNvSo1NGe6rp+XhXJQ/6ridDt5osXin1Y3O3mn62moUB2U9XbrRLpER5JeV4ZOk+5BaXo3tcA7x7Z9caq5UqlQqBft5o3jDIpJttWPtol3SXEzmDLOYDZ2RkoEsX3XiXkJAQw4KQt99+O1555RUpmya5RwfVvBwBUDXFvqY9y2qi3zakfZOqafzGG5ZWaPVjtvQ/x/0XcNO/uVvdrVY5Wy3Awvie+/s6f3YdkRQqNFpMXX4Q568VoWl4AL6c1MumruXU+aNwMbtIstXjiRxBFvWA2NhYpKfrZj60bt0a69atAwDs27fPJWsMydnX22sfXGvvVHLDNH6jypHxjDSNVpjsg+bMbjVXsbULUm1YBNL8wuDM2XtEUnp9zQlsO3MdQX7eWDQ50a7NlVs0DDb5sEXkbmTx6h03bhz+/vtvAMC0adPwyiuvoE2bNpg0aRIeeeQRiVvnHmwpHBWpKwyr3LYzSo58jfrOKjTCMN4IcO6AbFexvVut5nWO/PjGTwq0bFcqlu26CJUK+Hhid3Rsar5ALJEnkEW32vz58w3fT5w4ES1atMDOnTvRpk0b3HHHHRK2TP7sSVn0C7lFhfqjYUhVZc54XFGFVmvS/aSESont3Wo1D8hWQrJIZGzr6WuYWznT8YXb2iO5U4zELSKSjuQff8vLy/HII4/gwoWq7qN+/fph5syZTIxsYcOA7BQLg7EB0wRo74Uck241JeQCVTHYVjmS41R+APj3qA5SN4EU4mxWIaYsPwiNVuDOXrF4Mqnm/RGJPIHkyZGvry9++uknqZvhtuwZCqSfxt+hiWnJ3HjQ9amMAtNuNUWMOdLFYO3g9aq91ST/M7HooQHxUjeBFOBGURkeXboPBaUV6BMfibfGdZZsWxwiuZDFu/7YsWPxyy+/SN0M2TC+6HVuZl2fvy1jjk7WUDmq/n6oNR6QrYDSka0LZlbtrSbPypHx7yQsQBY95ORmyiq0eOq7A7iYXYy4yEAsfKBnrRstE3kKWbyjtmnTBq+//jp27NiBXr16ITjYdAfnZ599VqKWuda6GUk4mZ6PgQmNsGRnKgDgxdtq7zqx9QOeEMJQOdLvqaZXvTpkXGFRxmw1/T50tq1zFGA0IPvZYW3wjEzWODL+dP/Fg71x71dcE4ysJ4TAK78cw54LOQj198HXkxNNxiASeTJZJEdff/01GjRogAMHDuDAgQMmj6lUKo9Jjto2DkXbxqHIKy433Nco1Lp9iaythqTnlSK/tAI+Xiq0jjZNQqsnQMZjjhSQGxli0Na+XZ1BVbeaN354qj9OpefjgX4tZNnl4KXSrdp9w+i14+5KyzU4mHYDvVtESrrJr1J9vf0CVu6/BC8V8J/7eqBt49C6n0TkIWSRHBkPxibTlarrGuujsnG+mn7xx1ZRwWbl8+ozsKo2nbV/PSU5MXSrWVk5MiwC6euFxPhIJMbLd5+/hOgQRYwLM/avH//Br0euYnL/Fpg7prPUzVGUv09m4q0/TgIA/j2qI25qFy1xi4jkRVYfx8rKypCSkoKKigqpmyIp47Ek1l7wrL3gV20bYj6WqfqwIn1ypITxRkDV/6U1VTYhhFFyJN8xGHteGoaNzw9BwxB/xS0v8OuRqwCApbsuStwSZTmVkY9n/3sIQgD39W2OhwfGS90kItmRRXJUXFyMRx99FEFBQejUqRPS0tIA6BaENF4DyVMYrywb4l9Hcc/G6+Gp9MrkqIl5Cb16EqTvVlNC1cjYn8fS6zxGnxgB8p2tBgCNwwLQqnLjXuNfX1Z+qUQtIjm7XqjGo0v2o6hMgwGtG2Lu6E6K+/smcgRZvOvPnj0bR44cwebNmxEQULVU/fDhw7Fy5UoJWyYNby8V3h7XBf8e1QEx4dYt3W/tmCN9t1oHi5Wjat1qlfmBEgZjA0BGZcLw2aZzdR6rLq9KjuRcOTJm/BrILVHO2COlVC6lVlquwZPfHsCV3BK0bBSM/7u/J7f4IKqBLMYc/fLLL1i5ciX69etn8immU6dOOHeu7guZEt3Xt7lVx9ly2VBXaHDuWhEAy5Wj6jmQRmHdarYorVwd29tL5TYXkHv7NMeCv88AUMa6VHqe+PpzNCEEZv98FAcu3kBYgA++ntwbDYKsm+xB5Ilk8a5/7do1REebDwgsKipiybcOtmyJcTarEBqtQHigL2LCzCtS5lP5qwZk26pXiwjbnyQjcl8A0hLjAeM+CkoolFK5lNL/bT6HVYeuwNtLhYUP9DJ0xRKRZbJ45+/duzd+//13w239BX/RokXo37+/VM1SHP14o3YxoRaTTvNutcrkyI4L7fzxXexooXy4w2Ds6oxXNFdStUVJiZ4U1h5Lx3t/pQAAXh/TCQMTGkncIiL5k0W32ttvv40RI0bgxIkTqKiowIIFC3DixAns3LkTW7Zskbp5slY1Pb1u+g1nO8RYXs+k+iXI0K1mxyd3d784GxaAdKPKkcZoASclzVxTUiyuduxKHmasPAJAt/L+/X1bSNwiIvcgi3f+QYMG4fDhw6ioqECXLl2wbt06REdHY9euXejVq5fUzVOMk/qVsZtY3pLEbMxRPSpH7t4dqt90Vq5bh1iiMVrcUtiwEbHcuXuiLZXM/FI8tnQ/Sso1GNI2ihsVE9lAFpUjAGjdujW++uorqZvhdvQ5iDUXw1M17KlWdS7Ti5D+lPZUjtz9cqaucL8xR8aVIwXlRooaXO4qJWUaPL5sPzLyS9EmOgSf3NcDPm4ysYBIDmSTHGk0GqxatQonT+pWbe3YsSPGjBkDHx/ZNNGtXS9U41qBGioVrN4mwFA5suPa5O7XM33lyJ3GHBknRHJOjoQQOHetCK0aBVtVleSYI9totQKzfjiCfy7nISLIF19PTkRYgK/UzSJyK7LIPI4fP47Ro0cjIyMD7dq1AwC88847iIqKwm+//YbOnbl1QE2s3T4kpbJq1CIyCMF1LSxZST/myK5uNTevHbnjbDVj1q6YLoUvt57HvD9P4Z7EOMyf0LXO49mtZpuP/z6D34+mw9dbhS8e7I3mDYOkbhKR25HFO/9jjz2GTp064fLlyzh48CAOHjyIS5cuoWvXrnjiiSekbp4iGMYbWVj8sSaiHuscyb1yVFc3pDvOVjOmlW9uhA/WnwYArNh3yarjvWTxLuUeVh++gv9UrnX19rgu6NNSvvsBEsmZLCpHhw8fxv79+xERUbU2TkREBN566y0kJiZK2DL5qxpzVPtx+spRuxrGG1miqccK2XJPjjRaYbLBb3WG2Wq+7nNlNv4/18q5X81GXOfIOofSbuD//fgPAODJpFa4q3ecxC0icl+yeOdv27YtMjMzze7PyspCQkKCBC1SHv1g7A4WVsauSdXearb/PLnPVtNYWTny93HPypGscyMb28ap/HW7kluCx5cdQFmFFsM7NMa/bmsvdZOI3JoskqN58+bh2WefxY8//ojLly/j8uXL+PHHHzF9+nS88847yM/PN3yRqap1jmq+4lRotDidqZ+pZn23mrY+3Wo2P8O1jCZ2WeSOlaNyTdVrQFFT+WWeaEutSF2Bx5bux/VCNdrHhGLBPd05TouonmTRrXb77bcDAO6++26j7TB0b+533HGH4bZKpYJGo5GmkTJX27UwNbsY6gotAn290TzS+sGZVduHKK9brUKrBVBzVUhtSI7cp3JkvAecclIjDsiujVYrMH3lYZxMz0ejED98/VCi1RMuiKhmsvgr2rRpk9RNcF9WXDdOZegqbu1iQm3qoqiayq+82Wp1VY6qutXcp3Kk1DFHXOeoZu/+lYL1JzLh5+OFLyf1RrMGgVI3iUgRZJEcDRkyROomuL3aLoX6PdVsGW8E1LNbTebXs4o6sqNSN6wcGf+Xyzk3snWZAVaOLPth/yV8vuUcAOC9O7uiZ3P33uyZSE5kkRwBQGlpKf755x9kZWVBW+3CNXr0aIlaJX/WVGj0g7HbWbn4o57+12DfOkfyVteAbHdcBNJ4ELwjKkc7z13H6kNX8fLtHRy6iKDx2ChrcEC2uX2pOXhp1VEAwLM3J2BM92YSt4hIWWSRHK1duxaTJk3C9evXzR7jOKPaWbN9iL5braY91WpStfGs7e2qK/mQQqi/DwrUFQCAwtIKRNeSK7rj9iEtjBb7u3KjBJ2ahtfrfPd9tQcAEOzvg1fv6Fivc+npX4u24ArZptKyi/HktwdQrhEY2SUG04e3lbpJRIoji3f+adOm4a677kJ6ejq0Wq3JFxOj+skvLcflGyUAat5TrSbaeow5CpDhFPgjryUbvt+ccq3WY91x41njbWGe+PaAw867NzXbIeep0Gjxr8p1eGzB2WpVCkrL8ejSfcgpKkOXZuH44K7urKwROYEskqPMzEzMnDkTjRs3lropbqdqKr9lpyu71JqEB6BBkJ9N567P9iGBfvJLKozj+Odybq3HllZWjgLcqHLkLMeuOGYJja+2XcA/l/Nsfh5XyNap0Ggx7b+HcCarEI3D/PHVpN6y/DsjUgJZvO3ceeed2Lx5s9TNUKSTGfr1jWyrGgFVW1DY88ndT+Y7gCfWsa2C2g0rR3J2NqsQH204bddzOSBb560/TmJzyjUE+Hph0aRExIQHSN0kIsWSxZijTz/9FHfddRe2bduGLl26wNfXdPDns88+K1HL5M8wCLeG0tGpdPvGGwFV3Wr2XJy8vFRY+UQ/TPxyt83Pdab4hkFIzS5GkzouLKwcOY5GK/CvH4+grEKLIW2jsOV07V2a1XEqP/D9notYvCMVAPDh3d3RJbZ+48mIqHaySI7++9//Yt26dQgICMDmzZtNZt2oVComR/WQUo/KUX22DwGAvq0a2vdEJ2oY4o/U7GKUVShvtpoj6QekO8KSnak4mJaLEH8fzBvfBQPmb7Tp+Z5eOdp59jpeW30cADAruS1GdmkicYuIlE8WH4tffvllzJ07F3l5eUhNTcWFCxcMX+fPn5e6ebJWW+FICGGYxm/LtiF6mnqscyRXvpVT78o1ta9z5I6z1YyFBtj/uWfF3jS0+/dah7Qj9XoR3vvrFADgpZEd0NSORQo3p1xD/Iu/Y9E2z3svOH+tEE9/fxAVWoGx3Ztiyk3ca5LIFWTxzl9WVoaJEyfCiyMvHeryjRIUqivg661Cq6hgm58vDFP57U+OljyciB7NG9j9fEfLLS4HAOSVlNd6nNrNK0f39Wlu93Nf/PmoQ9qg1Qq88NM/KC3XYkDrhri3j3W7xGu0AhtPmW9E/ebvJ/HBuhRsOX0NBaW1//6UIK+4HI8t3Y+8knL0aN4A8yd0lf2GzkRKIYtsZPLkyVi5cqXUzXBLhtlqFtYV0leNEqJDTfbdspa+uFKfN+Sh7aKx6pmBdj/f0fT/J//+5Vitx7njCtkAcHP7aABAi4a2J8OO9v3eNOy5kINAX2+8Y8OFfenOVDyyZL/Fxz7ZeBaTv9mLbnPXYeSCbXh19TH8euQq0vNKHNl0pzl8KRdv/X4C8S/+jnu+3FXjceUaLZ5ZfgDnrxehWYNAfPlgb7d7LRK5M1mMOdJoNHj33Xfx119/oWvXrmYDsj/88EOrzjNv3jz8/PPPOHXqFAIDAzFgwAC88847aNeunclxu3btwssvv4w9e/bA29sb3bt3x19//YXAQGXtS6QfjN3BjvFGgHG3msOa5DbccW81oKrb0NYtOhzt8o1izP/jJADghdvaIc7KDY+vFajx+poTFh97ckgrXMtXY//FG0jLKcaJ9HycSM/Hsl0XAQDNGgSid3wEesdHoneLCLRtHCq7LuGxn+0wfL/7fA7KNVqzDy5CCMz59Th2nM1GsJ83Fk3ujahQf1c3lcijySI5Onr0KHr06AEAOHbM9BO9LVWLLVu2YMqUKUhMTERFRQVeeuklJCcn48SJEwgO1n2S3rVrF2677TbMnj0bn3zyCXx8fHDkyBG37dKrbcyRYbyRjXuq6em7LuR2gXEFd60c6beT0UqYGwkhMPvnoygq0yAxPgKT+sebPP7nc4MxYsE2w7HGf+OJb22weM6useGYPaKD4XZmfin2p97A/os52J96A8ev5uFKbgmuHC7B6sNXAejGXfVqEYHeLXQJU/e4BpL+PtceSze7L6eoDI3DTGdOLtmZiu/3pEGlAhbc0wMd7JhpSkT1I4vkaNOmTQ45z9q1poNIlyxZgujoaBw4cABJSUkAgBkzZuDZZ5/Fiy++aDiuemVJKQzbhtgxGBuoGnfjzKnUAb7yS0orNFpUVGYXcmxfbQw5voTbt/xv/yVsO3Md/j5eeGdCV7NFRJtFVFVoyzRa+Fuxmnr1pKZxWABGdW2CUV11M7cK1RU4nJZrSJYOpt1AQWkFNqdcM6yG7uutQqem4Ug0qi41DHFdReap7w6a3ffhutN4cUR7fLj+NF67oyO2nb2ONyorZ7NHtMfwjlwYl0gKskiO9M6ePYtz584hKSkJgYGBZp8qbZWXp1uNNzJSt+BfVlYW9uzZg/vvvx8DBgzAuXPn0L59e7z11lsYNGiQxXOo1Wqo1WrD7fx8x6wW7DiV3SjVroWl5RpcuF4EwL5p/EDVVH5nJkdBfrJ6CQKo6lIDYNWFW06krhxl5JXizTW67rTnk9uiVVSI2THGC4SWVVQlR/m1DLIOqmMl6BB/Hwxq0wiD2jQCoEtwT2UUYF+qLlnal5qDrAI1Dl/KxeFLufhq2wUAQKtGwSZdcS0bBTt80LMQAqczCy0+tnL/JazcfwkA8O3ui4b77+4di8cHt3JoO4jIerK4MmVnZ+Puu+/Gpk2boFKpcObMGbRq1QqPPvooIiIi8MEHH9h8Tq1Wi+nTp2PgwIHo3LkzABiWBZgzZw7ef/99dO/eHcuWLcOwYcNw7NgxtGnTxuw88+bNw9y5c+sXoATOZBZCK4DIYD+7xyuUa3VJgpK61cIDfeucqabvUgPcb8yRNRsRO4sQAi+tOooCdQW6xTXAo4MsX9yNkyN1hRb61H3R1pqn6te1F151Pt5e6NwsHJ2bhePhgS0hhMDlGyW6ZOniDexPzcHpzEKcv16E89eL8L/9lwEADYP90Ds+AonxkejVIgKdmobDz47XQF5JOXacvY4tKdew5fQ1ZOSX2vT8N8d24cw0IgnJIjmaMWMGfH19kZaWhg4dqsYVTJw4ETNnzrQrOZoyZQqOHTuG7du3G+7TVl7sn3zySTz88MMAgB49euDvv//GN998g3nz5pmdZ/bs2Zg5c6bhdn5+PuLirJuS7ApVY45ML4YnDV1qoXa/yVZonF85crW6EiMAKK2sHPn5eLndpp7637U9lSN1haZelbJfDl/BxlNZ8PP2wvt3dq0xqTb+P71eqEajEH+UVWjxn41nazx3RJBvjY9ZQ6VSIS4yCHGRQRjfMxYAkFtchoNpN7AvVZcsHbmch+yiMvx1PBN/HdctJRDg64XucQ3Qu0UkesdHoGeLCIQFmLdFCIG/jmfgdGYhtp6+hkOXcg2VV/159AuL1mXzrKF2JWRE5DiySI7WrVuHv/76C7GxsSb3t2nTBhcvXqzhWTWbOnUq1qxZg61bt5qcs0kT3fiEjh07mhzfoUMHpKWlWTyXv78//P3lO1Okpkv3qXT7F3/U0y+U6Gmz1dTl7rsApFctA/Rrs/rwFTy34jDm3NGx7oMtyCooxZxfdWNlnhveBm0aW9eVW/l5BZl1VFYeHdTSrnbVpkGQH25u3xg3t9eN61FXaHDsSl5lsqQb7J1bXI7d53Ow+3wOAN2HkXaNQ5EYr0uWokL8sfXMdXy+5ZzZ+ROiQzC0bRSGtItCYnwkfLxUOJ1ZiOYNg+CtUmFfag5+PngZo7o2RY/mDRAe6GvXkhtE5HiySI6KiooQFGQ+1TcnJ8emxEQIgWnTpmHVqlXYvHkzWrY0fUONj49H06ZNkZKSYnL/6dOnMWLECPsaLxPVe1FSMvV7qtk33ghwzZgjV3trXGe8vKquNY7cdwHI2ta9qs1zKw4DAOb8ZnkafW2EEHjll2PIKylHp6ZheCLJ+rEyW89cQ3yjIFy+Ufs6RTeKnb/oo7+PN3q1iESvFpHAEN0iluevF1aOWdIlSxezi3EqowCnMgpMxggZe3tcFyS1bYTYCPP3tI5Nqz6sJLWNQlLbKKfFQ0T2k0VyNHjwYCxbtgxvvPEGAF0JXKvV4t1338VNN91k9XmmTJmC5cuXY/Xq1QgNDUVGRgYAIDw8HIGBgVCpVPh//+//4bXXXkO3bt3QvXt3LF26FKdOncKPP/7olNiczVKXmRACJysrRx3qUTkyJEdu1rVUm46V06JjI2pe08qw6aybzVQDqhJZRw45alBHl9bvR9Px1/FM+Hip8N6d3Wyqfsz/8xTm/3mqzuPs2Xakvry8VEiIDkVCdCjuqVxxPKugFAcqk6Xd57NxIt10gsaFeSM5VohIAWSRHL377rsYNmwY9u/fj7KyMvzrX//C8ePHkZOTgx07dtR9gkoLFy4EAAwdOtTk/sWLF+Ohhx4CAEyfPh2lpaWYMWMGcnJy0K1bN6xfvx6tW7d2VDiSML4YXitUI6eoDF4qoE1j89lC1tJPZ6/P9iFyox/LUdveavolDNxtphoAQ+lI68DsqFhd8ya02YVqw6aoz9yUYFIZcaTucQ2ccl5bRYcGYESXJhhRuflr/Iu/AwCev6Utpg0zn9BBRO5JFslR586dcfr0aXz66acIDQ1FYWEhxo8fjylTphjGCVnD2q6EF1980WSdI3dmKW3RjzeKbxRcr64hrVZ5G8/qZ0pl5qtrPEYRlSMHnrOslkRy7m8nkF1UhnaNQzHVhk1RnxzSCl9sMZ+d9todHTHXQtdeD5kkR9V9PLE7zmQVMDEiUhhZJEdpaWmIi4vDyy+/bPGx5s3t30TTE+kXf7SnS21U1yb4/R/dSr76ypGCCkcmiV56XgmahJt31+gHZAe4YeVIH50jK0cAUKSuQLC/6dvFuuMZ+PXIVXipgPfu6mrTDKvnhrWxmBxtP3MdF+aNRI831hs2Cf7iwV6y7dod26OZ1E0gIieQRXLUsmVLpKenIzo62uT+7OxstGzZEhpNzWV9T2dpXZuqmWq2D8Z+d0JXQ3KkcWC3mp+PF8oqrJvK7EyF6grD97vOZRumdRsz7KvmzpUjBy9zdOxKHvq2ami4nVdcjpcrN+99Iqk1usY2sOl8NS3+2aFJGFQqFQ6/mmx3W4mI6ksW7/41rYRdWFiIgIAAC8+g2lTtqWZ75SjY38ewGrHGgd1qda1w7Cqdm4Ybvq9pM9RSN64c6bcP0dq40NGoLrV3X8eEm/4dvr7mBK4VqNEqKhjTh9vXpfTr1IFm9w1px9lbRCQ9SStH+sUVVSoVXnnlFZPp/BqNBnv27EH37t0lap170G8Xob8Ulmu0OJul26rA3m1D9KlQVbda/ZMjCbf6MuHlpTIsyLfhRCYS4yPNjtFP5XfHyhFg35ijZrXM3gNgsoDhppQs/HTwMlQq4L07u9o9rq1rbANEBPmaTNO39PsgInI1SZOjQ4cOAdBVjo4ePQo/Pz/DY35+fujWrRtmzZolVfPc0oXrRSjTaBHi71PrdPXa6JMhjdZxi0BKsZ1FTfQX+i+2nsfskR3MHldXuHHlyNDNatvz6vr96P9P8kvL8dLPRwEAjwxsqVsTqB4OsfuMiGRI0uRo06ZNAICHH34YCxYsQFhY7d1Aly9fRtOmTeHl5Y6f6J1DVe1ieLJy3ZV29dg2RP+syt1DHDLmSD6pUd2qKkfumBzptw9x7P+4voo4749TSM8rRYuGQZiV3M6hP4OISC5kkWUsXry4zsQI0G37kZqa6vwGuTHDeCM7u9SMaR25CKQbZUelStg+xMbkqK7DNVqBHWev4797ddvsvDOhKwJlMo6MiMjR3OrdX05dM3Kj33j2VLp+25B6LMZXeYGtqOxWc8T2Ie70m9PPVnPL7UPs3Hi2rsPzisvxwk//AAAe7NcC/YxmrhERKY1bJUdkrnrekpKh3zbE/sqRoVvNgbPVHN3NUx+d6ljF2TBbzQ0HZBu6WR2UjuorkG//eRKXb5SgWYNAvDCivUPOTUQkV+737k8WCaH7dH81T7e7edv6JEeVV9gKBW48CwCf3tfT8P1tH281e7zUjbcP8bK3cmTh+Pfv6mbopj1/rQgAMH9CF4T4y2J5NCIip2Fy5OZURhuI6FfGjo0IRFhA7ZuF1npO/f5chsqR/e3Tk1HhCJHBVbMi9Rd/Y2q33j5E968jKnW3dmpscnti7zgMbsN1iIhI+dzq3Z+7XddMwHGDsauvc+SIylFJueVVzqX4jdbVTaivHLnzmCObp/Jb6Iar/vf28u3myx4QESmRWyVHHJBds2sFakPlqL0de6oZq1rnyPndalL8Rn3qSI70lSN3nK1maTsZu88F4N+jdAnRt4/2qVc1kojInUj+7l9eXg4fHx8cO3aszmNPnDiBFi1auKBV7iMtp9jw/Un9nmpNHFM5cuSAbD9H9M05SF0VIbUbV47sHXNkvAK2nkoFPDa4Fc6/PZLdaUTkUSQfWenr64vmzZtbtblsXFycC1rkXhKiQwzfn87Ud6vVt3Kk+7eqclSv07mdUg8cc6Rfv8iYfjybQ9a5IiJyI7J493/55Zfx0ksvIScnR+qmuJ1yTdUn/uIyDfx9vBDf0PKGqtarNlvNwy6OVYtAul/lyLDXngP6KznEj4g8leSVIwD49NNPcfbsWTRt2hQtWrRAcHCwyeMHDx6UqGXy1yjE3+R228ah8KlnF1b1ypEjtg+p8Wc57cz2q1oEUhafHWxi7wrZljA5IiJPJYvkaOzYsVI3wW01CvEzue2IbUOqjzlyZuVIjkPs3bpyZMeYo7IK8/FGgOkyEUREnkQWydFrr70mdRPcVvXp1u0ckRwZtg9R5iKQdamayu+OlSPbN579ZOMZi/d72K+diMhANu/+ubm5WLRoEWbPnm0Ye3Tw4EFcuXJF4pa5lw712VOtGv0F1iGLQMqyRmRZ1VR+d6wc6f7NzFdb/Zy1xzIsn8sRDSIickOyqBz9888/GD58OMLDw5GamorHH38ckZGR+Pnnn5GWloZly5ZJ3US34ZhuNdetcyQ3Qgi3XgRy0bbzAIANJzPrfS4uukpEnkoWlaOZM2fioYcewpkzZxAQEGC4f+TIkdi61XzvK6pZw2oDtO1hNiDbiWOO5Hb5VRuNv/F3w261/NIKm59TUw4kt98NEZGryOLdf9++fXjyySfN7m/WrBkyMiyX/Ml5qrYP0SUKSlshuzbGyVGAG3ar2aOmgdcsHBGRp5JFcuTv74/8/Hyz+0+fPo2oKK7MW5fZI9oDAGYMb+uQ87ly+xC5UVfOVPNSAb7enhO3JexWIyJPJYvkaPTo0Xj99ddRXl4OQPemnJaWhhdeeAETJkyQuHXy9+SQ1jjyajKeG97Goed1RbeaHFwrqBq8rB9v5O/j7ZbJQV37xlnihmESETmVLJKjDz74AIWFhYiOjkZJSQmGDBmChIQEhIaG4q233pK6eW4hPMhxm4LqL5b6tXIckRvJec/gJTsvGL5Xu/HWIUDV8gtERGQ/WcxWCw8Px/r167Fjxw4cOXIEhYWF6NmzJ4YPHy510zxS9UqC0rcPaR5Ztd2KO89UIyIix5BFcrRs2TJMnDgRAwcOxMCBAw33l5WVYcWKFZg0aZKErfM81QfoKn37ED+fqipRqWGNI/esHPVuEYH9F29I3QwiIrcmiyvAww8/jLy8PLP7CwoK8PDDD0vQIs9WPRdyxJij8EDL3X5y6AQyHnCudvPKkfFsO42VXWzuOLaKiMiZZJEcCSEsvkFfvnwZ4eHhErTIs1X/TTji2rnk4T71P4mTGL/2DPuquWlydFfvWMP3Na18XR1TIyIiU5J2q/Xo0QMqlQoqlQrDhg2Dj09VczQaDS5cuIDbbrtNwhZ6puqJqiO61brEhuOexDis2Hep3udytKOXczG6W1MA7t+tZtzuIrXtC0ISEZHEydHYsWMBAIcPH8att96KkJAQw2N+fn6Ij4/nVH4JVE+FHDWVPz2v1CHncbTo0KpV2d29W80e7FUjIjIlaXL02muvAQDi4+MxceJEk61DSD4cNVtty+lrZvfJ4brcOjrY8L2+chTgppUjk8H0cvjPJSJyQ7KYrTZ58mSpm0DGqk/lV/j2IT5eRrPV9ItAumvliLkREVG9yeLjsUajwfvvv48+ffogJiYGkZGRJl/kWmbdagrsd9FvuQKYriqtdvPKkT0s/Xq/fLCX6xtCRCQTsrgCzJ07Fx9++CEmTpyIvLw8zJw5E+PHj4eXlxfmzJkjdfM8TvUB2V4OepUMSmjkmBM5wBNJrSze7+6LQBr/5qxdldzSxrN9WzV0TIOIiNyQLJKj77//Hl999RWef/55+Pj44N5778WiRYvw6quvYvfu3VI3z+M4a0D29rPXHXIeR1CpVGjXONTsfv3Gs+46W804H7qSW2L3eRS+KDoRUa1kcQXIyMhAly5dAAAhISGGBSFvv/12/P7771I2zSOZbR+i8BWyjRMK/SKK7lo5Mrbg7zNWHXf0ivkCrErfbJiIqDaySI5iY2ORnp4OAGjdujXWrVsHANi3bx/8/f2lbJpHqt7NotQB2ZbC0i8C6a4bzzrqN+XM3zkRkdzJ4gowbtw4/P333wCAadOm4ZVXXkGbNm0wadIkPPLIIxK3zvM4Y/sQd2FYIdvHPStHsRFBdR9kBeZGROTJZJEczZ8/Hy+99BIAYOLEidi2bRuefvpp/Pjjj5g/f77V55k3bx4SExMRGhqK6OhojB07FikpKSbHDB061LAqt/7rqaeecmg8SqP03Mh44HJVt5os/jRs1qGJ+Tgqe/g6ahQ+EZEbksU6R9X169cP/fr1s/l5W7ZswZQpU5CYmIiKigq89NJLSE5OxokTJxAcXLXQ3+OPP47XX3/dcDsoyDGftpXCbLaaB5UR3H1vNWtnqNXk5vbR+M+9PRy28CcRkTuSRXLUvHlzDB06FEOGDMHQoUPRunVru86zdu1ak9tLlixBdHQ0Dhw4gKSkJMP9QUFBiImJqVeblcxZs9Ws+VlSEEYjnwyLQLrpbLXqzmQWoI2FWXk1iY0IRIi/LN4WiIgkI4srwNtvv42AgAC88847aNOmDeLi4vDAAw/gq6++wpkz1s24sUQ/6636QpLff/89GjVqhM6dO2P27NkoLi6u8RxqtRr5+fkmX0rnKWOOqlfIAKNFIN20clTdnN+OQ9hQTgpUSNxERPUhi4+IDzzwAB544AEAQHp6OrZs2YI1a9bgmWeegVarhUajsfmcWq0W06dPx8CBA9G5c2fD/ffddx9atGiBpk2b4p9//sELL7yAlJQU/PzzzxbPM2/ePMydO9e+wBTCmb1qctg+xJi7LwJZ/f9zx9ls/HU8A7d1bmLV8901biIiR5JFcgQAxcXF2L59OzZv3oxNmzbh0KFD6Ny5M4YOHWrX+aZMmYJjx45h+/btJvc/8cQThu+7dOmCJk2aYNiwYTh37pzF7rzZs2dj5syZhtv5+fmIi4uzq03uwqxypPAxR8aFFf3Gs+7arWZcJbq/b3N8vycNb6w5iSFtoxHoZ5746MdY6Vk6hojI08giORowYAAOHTqEDh06YOjQoXjxxReRlJSEiIgIu843depUrFmzBlu3bkVsbGytx/bt2xcAcPbsWYvJkb+/v8ettVR9nSPFdqtZuE/t5pWjYKPxQrOS22HTqSxcyS3B51vOYcYtbc2O/+HAZZPb7FYjIpLJmKNTp04hODgY7du3R/v27dGhQwe7EiMhBKZOnYpVq1Zh48aNaNmyZZ3POXz4MACgSRPruh08gdkK2YofkF2lasyRLP40bBbg641VzwzAqmcGICLYDy+P6ggA+HzLOVzKMR9bl5lXanKbyRERkUySo+zsbGzcuBH9+vXDX3/9hYEDB6JZs2a477778NVXX1l9nilTpuC7777D8uXLERoaioyMDGRkZKCkRLfH1Llz5/DGG2/gwIEDSE1Nxa+//opJkyYhKSkJXbt2dVZ4bqd6wqLUqfyWV8jWz1Zz3yShR/MI9Giu+3AxsksM+rdqCHWFFm/9ftLs2O/3XDS5HcBuNSIieSRHKpUKXbt2xbPPPosff/wRf/75J2655Rb88MMPNi3QuHDhQuTl5WHo0KFo0qSJ4WvlypUAAD8/P2zYsAHJyclo3749nn/+eUyYMAG//fabs0JzT9WyBmeOOZLbgGx3rxxVp1KpMGd0J3h7qbD2eAa2nzHd/PdGcbnJ7QA3HWtFRORIshhzdPDgQWzevBmbN2/G9u3bUVBQgC5dumDatGkYMmSI1eepa8pyXFwctmzZUt/mKp5Z5Ujh10v960ajFSjX6L4PcOPKUXXtYkLxYL8WWLIzFXN+O44/nxsMX2/Lv1RfJkdERPJIjvr06YMePXpgyJAhePzxx5GUlITw8HCpm+WxzMYceUi3mvHMLX+FVI70Zgxvi1+PXMXZrEIs3ZmKxwa3wpxfj5sd51dD0kRE5ElkkRzl5OQgLCyszuP++9//YvTo0SZbgZDjma2Q7cTkSA5pl77eqN9XDVBW5QgAwoN88a9b2+HFn49iwYYzuKl9NJbsTDU7rnNTfighIpLFx0RrEiMAePLJJ5GZmenk1lCF1rR7Uqn7bFVfskBfOfLz9lJkzHf1jkOXZuEoUFdg/p+nLB4THuTr4lYREcmPLJIja9myDQLZ75/LeYbvnb3GkSx+o5WNMGw6q9BxN95eKswd0wkAsP4EP2QQEdVEmVcBchgFFlAMqvcW6rvV/BW81k/P5hGY0NPywqgxYQEubg0RkTwxOaJaKXUwtiX6ypFSpvHX5IUR7Swu9vi/J/tL0BoiIvlR9lWA6k2pW4cYE5X9alULQCr7zyI6NAAzbmljdn/zhkEStIaISH6UfRWgelPyprPVI6taAFK53Wp6Dw2oe2sdIiJP5VbJUYsWLeDry9k0ruTs3CinqMy5P8AKwjAg2703nbWFn8KrY0RE9SGLdY6sdezYMamb4HEU3a1WLfPTV46U3q1GRES1k0VypNFo8NFHH+F///sf0tLSUFZmWk3IycmRqGWk6OSoGrUHVY6IiKhmsviIPHfuXHz44YeYOHEi8vLyMHPmTIwfPx5eXl6YM2eO1M3zaM6arRYaoMvLZyW3dcr5bWHoVlPYprO22PfycKmbQEQkG7KoHH3//ff46quvMGrUKMyZMwf33nsvWrduja5du2L37t149tlnpW6ix3JWcvTm2M7o1DQMraNCnHJ+a1SPrGoRSM+rHEWF+kvdBCIi2ZBFcpSRkYEuXboAAEJCQpCXp1uh+fbbb8crr7wiZdM8nrO61Xy8vJAQHeqUc9vKsLeaoVvNMypHn97XAxeuFWHaMPNp/UREnkwWV4HY2Fikp6cDAFq3bo1169YBAPbt2wd/f36ilZKXk14hchjKVL0oVlrhWZWj27s2ZWJERGSBLJKjcePG4e+//wYATJs2Da+88gratGmDSZMm4ZFHHpG4dZ7NWd1qKhmtn6Tfs8+wCKSHVI6IiMgyWXSrzZ8/3/D9xIkT0bx5c+zatQtt2rTBHXfcIWHLyFmLQMphFlyNi0B6SOWIiIgsk0VyVF3//v3Rvz/3eZIDLyclMTLIjcx40iKQRERUM9n0H3z77bcYOHAgmjZtiosXLwIAPv74Y6xevVrilnk2Z1WO5LShrX5AdtVsNdn8WRARkQRkcRVYuHAhZs6ciZEjRyI3Nxcaje4i1aBBA3z88cfSNs7DOSuHkUNuVH3ck7qClSMiIpJJcvTJJ5/gq6++wssvvwxv76oLU+/evXH06FEJW0aOHBv05tjOhu9lVTky7K3muYtAEhFRFVlcBS5cuIAePXqY3e/v74+ioiIJWkR6jkyO4iKDnHJee5kNyNbPVuOAbCIijyaL5Khly5Y4fPiw2f1r165Fhw4dXN8gMnBkhcf4TDIqHBmoPXj7ECIiqiKL2WozZ87ElClTUFpaCiEE9u7di//+97+YN28eFi1aJHXzPJojCzzGiZacutX0Q7I5W42IiACZJEePPfYYAgMD8e9//xvFxcW477770KxZMyxYsAD33HOP1M3zaI7s/jLOh+SQHNW8QjYrR0REnkwWyVFJSQnGjRuH+++/H8XFxTh27Bh27NiB2NhYqZvm8RzarWZ0qpyiMoedt770A7LVrBwRERFkMuZozJgxWLZsGQCgrKwMo0ePxocffoixY8di4cKFErfOszkyOTI+lxySo3KNLisyrHPEMUdERASZJEcHDx7E4MGDAQA//vgjGjdujIsXL2LZsmX4z3/+I3HrPJuzZpXJYLIaDl/KBQD8duQqAONFIFk5IiLyZLJIjoqLixEaGgoAWLduHcaPHw8vLy/069fPsFo2ScOR24fsvZBTdV4ZjDnS+/NYBoQQhkUgufEsEZFnk8VVICEhAb/88gsuXbqEv/76C8nJyQCArKwshIWFSdw6z+btwBwmNdtozSr55EYAgDKN1jD2iGOOiIg8myySo1dffRWzZs1CfHw8+vbta9h0dt26dRYXhyTXcWSFZ1SXJk45ryPop/EDnK1GROTpZDFb7c4778SgQYOQnp6Obt26Ge4fNmwYxo0bJ2HLyJHdak0bBBq+L9doaznS9fQLQKpUgJ83kyMiIk8mi+QIAGJiYhATE2NyX58+fSRqDel5O7DCo++2AoCuseEOO299+Xqrqqbx+3ibbUhLRESehR+RqVaOnK1mfK52jUMddl576XOgmbe0q5qpxsHYREQej1cCqpUjiygJ0SHoFtcASW2jZLHx7M3togEAYYE+hplqAZzGT0Tk8WTTrUby5OjK0S/PDAAAWXRd/X0qCwDw44HLhkoWF4AkIiImR1QrR445AuSRFFUX4u9jmK3GBSCJiIgfk6lWckxmHGVEZ90EgFs6NjbMVmPliIiIeCWgWil5Vrtx3meoHHEBSCIij6fgSx85ghwGTjubEMb7qvFPgojI0ynqSjBv3jwkJiYiNDQU0dHRGDt2LFJSUiweK4TAiBEjoFKp8Msvv7i2oW5EbitZO5LKaA8Tw2w1Vo6IiDyeopKjLVu2YMqUKdi9ezfWr1+P8vJyJCcno6ioyOzYjz/+WNHjaRxFycmRnhDCUDlickRERIqarbZ27VqT20uWLEF0dDQOHDiApKQkw/2HDx/GBx98gP3796NJkybVT0NGFN2tZjzmqILdakREpKPoK0FeXh4AIDIy0nBfcXEx7rvvPnz22Wdm25WQOSVXjvSRCaBq+xDOViMi8niKqhwZ02q1mD59OgYOHIjOnTsb7p8xYwYGDBiAMWPGWHUetVoNtVptuJ2fn+/wtsqZkmerFZfpqkWFpRWGyhFXyCYiIsVe+qZMmYJjx45hxYoVhvt+/fVXbNy4ER9//LHV55k3bx7Cw8MNX3FxcU5orXwpuXK0sXKF7A/WnzZUjri3GhERKfJKMHXqVKxZswabNm1CbGys4f6NGzfi3LlzaNCgAXx8fODjoyucTZgwAUOHDrV4rtmzZyMvL8/wdenSJVeEIBteSh5zZETNyhEREVVSVLeaEALTpk3DqlWrsHnzZrRs2dLk8RdffBGPPfaYyX1dunTBRx99hDvuuMPiOf39/eHv7++0Nsudo7cPkavSck7lJyIiHUUlR1OmTMHy5cuxevVqhIaGIiMjAwAQHh6OwMBAxMTEWByE3bx5c7NEinSUXDlqGOyH7KIydI0Nr1oEkt1qREQeT1FXgoULFyIvLw9Dhw5FkyZNDF8rV66UumluS8G5Ee7t0xwA0LN5RNUikOxWIyLyeIqqHAkhXPIcT6LkbjV94me8CCQrR0RExCsB1UrJ3Wr6nWe1JnursXJEROTpmBxRrZQ8lb9qEUhhtLca/ySIiDwdrwRUKyUvAqkydKuBe6sREZGBgi995AhKrhzpYxOomsrPvdWIiIhXAqqVkjeeNXSrCeNuNVaOiIg8HZMjqpWSK0fG3WpqdqsREVElJkdUKyXPVlPpu9UEDBvPsluNiIh4JaBaKXmdI31oFVqBco1uvStWjoiIiMkR1UrRs9UqRx3pZ6oBnMpPRERMjqgOKgVXjvQ9hiVGyREXgSQiIiZHVCtP6FYrKdMlR77eKkXPziMiIuswOaJaKTlZ0M/E01eOuOksEREBTI7IAuOESMGFIwNuOktERMZ4NSAziyb3NnzvSZUjjjciIiKAyRFZEBXib/heyWOOKrS6VbEvZhcD4Ew1IiLS4dWAaqXkRSC/3n7B5DYrR0REBDA5IguMi0VK3j4kM19tcpuVIyIiApgcUR2UvAhkdVwdm4iIACZHZIEKVdUiJVeOquO+akREBDA5ojooebZaq6hgk9usHBEREcDkiCzwlDFHL97W3uQ2kyMiIgKYHJEFnpIchQb4mtxmtxoREQFMjqgOSu5Wqx4aK0dERAQwOSILjAdkK3m2WvU1nLh9CBERAUyOqA4qBXerVa8ccRFIIiICmByRBcb5kJK3D6me+HERSCIiApgcUR2UPeaoWnLEyhEREYHJEVlgnDIouHBk3q3GyhEREYHJEdVByZUjFVg5IiIic0yOyIxxtUirla4dzla9Ksap/EREBDA5IouqsobU7CIJ2+Fc1ccccRFIIiICmByRBSaz1RTcreZV7dXPyhEREQFMjqgOfgpeBdJsthoHZBMREZgckQVCVH3v463gyhEXgSQiIguYHJEFVdmRT/W+JwXhIpBERGQJrwZkxrhy5Oej5MpR9eSIlSMiImJyRBZojbvVFFw5Mu9WU26sRERkPV4NyIzGKDtS9pijalP5WTkiIiIwOSILKoxWfvRV8Gw180UglRsrERFZj1cDMhNoVEFpHBYgYUucy3hAtkql7GULiIjIerwakBnjpEHJ43CMxxz5+3iZzV4jIiLPpKgr37x585CYmIjQ0FBER0dj7NixSElJMTnmySefROvWrREYGIioqCiMGTMGp06dkqjFJCXjMUecqUZERHqKSo62bNmCKVOmYPfu3Vi/fj3Ky8uRnJyMoqKq/cF69eqFxYsX4+TJk/jrr78ghEBycjI0Go2ELZev6oOWlURVrXJEREQEAD5SN8CR1q5da3J7yZIliI6OxoEDB5CUlAQAeOKJJwyPx8fH480330S3bt2QmpqK1q1bu7S98lU1W03BW6uxckRERBYpKjmqLi8vDwAQGRlp8fGioiIsXrwYLVu2RFxcnMVj1Go11Gq14XZ+fr7jGypjSh6H4+UhY6uIiMg2ir0iaLVaTJ8+HQMHDkTnzp1NHvu///s/hISEICQkBH/++SfWr18PPz8/i+eZN28ewsPDDV81JVFK0rRBoOF7ZVeOqr5X8pIFRERkG5UQxptFKMfTTz+NP//8E9u3b0dsbKzJY3l5ecjKykJ6ejref/99XLlyBTt27EBAgPm0dUuVo7i4OOTl5SEsLMzpcUjleqEaPl4qNAiynDQqQV5JObrNXQcA6NG8AVY9M1DiFhERkbPk5+cjPDzcquu3IrvVpk6dijVr1mDr1q1miREAQxWoTZs26NevHyIiIrBq1Srce++9Zsf6+/vD39/fFc2WlUYhyo/ZuHLENY6IiEhPUcmREALTpk3DqlWrsHnzZrRs2dKq5wghTKpD5BmMxxz5ccwRERFVUlRyNGXKFCxfvhyrV69GaGgoMjIyAOgqRYGBgTh//jxWrlyJ5ORkREVF4fLly5g/fz4CAwMxcuRIiVtPrmaSHLFyRERElRR1RVi4cCHy8vIwdOhQNGnSxPC1cuVKAEBAQAC2bduGkSNHIiEhARMnTkRoaCh27tyJ6OhoiVtPrmY8EY+VIyIi0lNU5aiuseVNmzbFH3/84aLWkNwxOSIiIkt4RSCPxW41IiKyhFcE8lgckE1ERJbwikAei4tAEhGRJbwikMdScfsQIiKygFcEIrBbjYiIqvCKQAR2qxERURVeEYjAyhEREVXhFYEInMpPRERVeEUgAitHRERUhVcEIjA5IiKiKrwiEIFT+YmIqAqvCERgckRERFV4RSACEBHkJ3UTiIhIJnykbgCRlF69vSMuXC9Cn5aRUjeFiIhkgskRebRHBrWUuglERCQz7FYjIiIiMsLkiIiIiMgIkyMiIiIiI0yOiIiIiIwwOSIiIiIywuSIiIiIyAiTIyIiIiIjTI6IiIiIjDA5IiIiIjLC5IiIiIjICJMjIiIiIiNMjoiIiIiMMDkiIiIiMsLkiIiIiMiIj9QNcDdCCABAfn6+xC0hIiIia+mv2/rreG2YHNmooKAAABAXFydxS4iIiMhWBQUFCA8Pr/UYlbAmhSIDrVaLq1evIjQ0FCqVyuIx+fn5iIuLw6VLlxAWFubiFjqOEuJQQgyAMuJQQgwA45ATJcQAKCMOd4hBCIGCggI0bdoUXl61jypi5chGXl5eiI2NterYsLAw2b5IbKGEOJQQA6CMOJQQA8A45EQJMQDKiEPuMdRVMdLjgGwiIiIiI0yOiIiIiIwwOXICf39/vPbaa/D395e6KfWihDiUEAOgjDiUEAPAOORECTEAyohDCTEY44BsIiIiIiOsHBEREREZYXJEREREZITJEREREZERJkdERERERpgckVX7zJBz5eXlKeL3cPLkSRQVFUndDCKiemFyZKNr167h999/x5EjR1BRUSF1c+ySnZ2NZ555Br/++isA902Orl69ir59++KDDz6Quil2S09Px1133YWXXnoJqampUjfHbleuXMFdd92F3r17Y8OGDVI3xy6ZmZn4+OOP8fPPP+P06dMA3PNvIysrC1u3bsX58+elbordMjMzsXr1ahw5csQtfwd6+fn5yMzMBKDbespdXb9+HTt37nTr15StmBzZ4MUXX0Tbtm3x1ltvoU+fPpgzZw6uXbsmdbNs9s477+Dzzz/H0qVLkZ+fDy8vL7d7A5o+fTri4+PRuHFj3H///VI3xy5Lly5Fx44dUVZWhjvvvBMhISFSN8kuM2fORIsWLZCbmwu1Wo3g4GAA7pVYvPrqq2jdujXWrFmDqVOnYvLkyThx4gRUKpVbxfHyyy+jVatWePXVV9G1a1e8+eabuHjxIgD3uTi//vrriI+Px5tvvok+ffrg2WefxZkzZwC4TwwA8OabbyIhIQGffvopANS5l5dczZ49Gx06dMD06dPRuXNnfPTRR8jOzpa6Wc4nqE7nzp0TN910k0hMTBRbtmwRubm54t133xUJCQni6NGjUjfPZsnJySI5OVncfPPNYsGCBUIIIbRarcStss7JkydF06ZNRbt27cS+ffukbo7dKioqxG233SY++ugjw31lZWXSNcgOP/zwgwgPDxfdu3cXW7duFUII0adPHzFjxgyJW2abZcuWiZ49e4oNGzYIIYTYsGGD6NOnj1i0aJHELbPNp59+Kvr06SM2b94sCgoKxOeffy769+8vxo8fL3XTrHbo0CHRsWNH8dNPP4mioiKxaNEiMXjwYDF48GCpm2a1goIC8fTTT4tevXqJxMREcdttt4nt27cLIdznfVYIIa5cuSLuvPNO0bt3b7F582Zx8eJF8corr4iOHTuKX3/9VermOZ17prIuIIw+Ld64cQO33XYbli9fjqSkJISHh+OBBx6At7c3GjRoIF0j6yCqfeLVaDRQq9Vo0KABXn75ZcTFxWH16tU4efIkVCoVNBqNRC2tnXEceXl5CAsLw4gRI9C7d28cPHgQc+fOxeLFi3Ho0CEJW1m76r+LP//8EykpKZg+fToOHDiAe++9F/fddx9ee+01HDlyBIA8PyUbx3HmzBksWLAAhw4dwuDBg1FUVITQ0FCUlJSgvLxcwlbWTh+D/t+1a9ciKioKw4YNAwDDv3369DF7jpwYx1FRUYHff/8dPXv2xJAhQxASEoInn3wSbdu2xapVq7B8+XIAkO3fuN4ff/yBoqIijB8/HkFBQXj00UcxZ84cHDlyBB999BEAef5dGPP390fz5s0xa9YsfPLJJ7h+/TpWrVqFkpISt6pEnjp1CiqVCv/5z38wZMgQNG/eHK+//jqKiooMXYXuEos9mBxZUFZWhrKyMsPtTp064aGHHkJCQgIA3QX6scceQ1hYGD766CPs2bNHqqbWqHoMQgh4e3vD398fp0+fRlxcHO655x6Ul5dj9erVKCsrQ1ZWloQttqx6HN27d8eMGTPw1VdfYcyYMRg/fjy2b9+OuXPnIjk5Ge+9956ErbWsegwAEBwcDG9vb/z44494+OGHERUVhbi4OPz+++8YP3481Gq17Mrw1eN48cUXMXnyZABARUUFgoOD0apVKxw8eBC+vr6yfOM0jkGlUqG0tBRRUVEoKCjAoUOHkJ2djQkTJuDSpUt47bXX8M4770Cj0UClUkncclPV48jPz0dGRgbatm1rclxERATi4+Mxa9YsaDQaeHt7S9Fci/SvD+NkJyoqCiEhIbhx44bhvkGDBmH69Ol47bXXUFZWJru/C30c+sTT19cXzzzzDO655x707dsXI0aMwI4dO7B27VoAkN1rSU8fh34sbdeuXTF16lT0798fgO73JIRAs2bNDL8zucbiCPJ6lcnAnDlzMGjQIIwZMwZffvklcnJyEBAQgOjoaADA6dOnERERgeLiYkyaNAkHDhzAlClTsGDBAolbXqV6DDdu3DC8iFNSUuDl5YX4+Hjcdttt6NevH7744gsEBATgxx9/lNWnsupxZGdnw9/fH0OHDsWtt96K7Oxs/PTTT/j555+RmpqKBx98EKtWrcKqVaukbrqBpdcTABQWFqJp06b4/PPPMWzYMHz00Uf48MMPsXz5cnh5eWHmzJkA5PMpuabXlP6CoL/o9u/fH1lZWbh06ZLs3jgtvZ4CAgIwevRoRERE4IUXXkB0dDRyc3PxxRdfoFWrVvjiiy/w1FNPAZDv7+L69euIjIxE7969sWjRIixatAglJSV45ZVXsGrVKsycORMhISGG6pEcfPLJJ5gzZw4AmIx5DAkJgb+/PzZu3Gg41s/PD/feey+io6MNH37kkngbx2GceIaFhRnaOHXqVPj7+2P16tW4evUqAPm0X884Dh8fHwgh0KhRIyQlJQHQvfa9vLyQlZWFY8eOoUuXLhK21kVc2IUna+Xl5eLBBx8UCQkJYunSpeLee+8VnTp1EqNGjTI7ds+ePYa+45KSEjF58mQxfvx4UVJS4upmm6gphttvv91wTHp6urjllluEEEL88ccfIioqSoSEhIikpCShVquFENL3i9cUx8iRIw3t2759u9i7d6/QarWioqJCCCHEpUuXRKdOncR7770nZfOFEHXHoFarxYABA4RKpRJLly41PE+r1Yr3339f9OzZU+Tn50vVfANb/i6EEOK7774TsbGxIiUlxcUtrVldvwshhNBoNOKLL74Qo0aNEsXFxYb7Fy9eLBo3biyysrKkaLqJmuIYMWKEEEL3XjR+/HjRunVrERERIVq3bi127twphBCiffv2YvHixRK2Xufw4cPi1ltvFSqVSnTp0kX8/fffQghdbELo/i569eolHn30UXH58mXD84qLi8UDDzwgnnjiCcOxUqopDo1GY3Kc/vZXX30levbsKRYuXGh4TOr3WSGsj0Pvt99+E23atBGlpaWubKYkmBxVOn/+vGjfvr3JQLN169aJwMBA8eGHH1p8jv7FfdNNN4kxY8bU+IJyFWtiWLNmjWjcuLHo37+/CA0NFfPmzRNz5swRgwYNEt9++60QQvo/2tri+OCDD4QQwpAQ6enb3LhxY/Hyyy+7rrE1qC2Gd999VwghxE8//SR8fX3F/fffb/LcZ555Rtxyyy2irKxM1r8L478LfTszMzOFt7d3nW+yrmRtDDNmzBAPP/ywyXNff/110bVrV5GRkeGy9tbEmtdUcXGxSElJEbt27TIco1arRaNGjWQxwPyDDz4Qo0ePFkuXLhUjR44UDz74oCHZ0U9IWLp0qUhISBCfffaZyXMHDx4sHnzwQZe32ZLa4jD+mzX+fty4cWLs2LHi4MGD4scffxT//ve/Xd7u6qyNQ2/u3LnivvvuM9zevn27+Omnn1zWXldiclQpJSVFqFQqcfHiRZP73377bdGgQQOz+/V27twpkpKSxKpVq1zQytrVFkN4eLi4dOmSuHbtmujQoYOYNGmSOHPmjBBCiIsXL4qhQ4eKO++80+RTs1Ts/V2sXr1a9OjRQxw/ftwVzaxVbTGEhYWJS5cuCSGEeOKJJ0TLli3F/PnzxbVr18SZM2fEsGHDxPvvvy9Fs83Y+rtITU0ViYmJYt68ea5sZq2sjeHee+8VY8aMETt27DA87+abbxbTp093eZstqevvu6a/iyVLlojExERx7do1VzSzVunp6WLLli1CCCE+/vhj0bdvX7FkyRIhhOkHnkceeUT06NFDLFiwQOTl5YkjR46IXr16ieXLl0vS7upqi6N6UqH/gLB+/XqRkJAgGjZsKHx9fcXrr7/u2kZbYEscQggxYMAA8fXXX4vLly+LESNGCG9vb8PxSsPkqNKJEydE9+7dDZ/A9PLy8kSrVq3EzJkzhRC6F8yxY8fE3r17xYwZM0SDBg3E1KlTZVFmrC2Gli1biueff14Ioet+qv6JfufOnaKgoMBlba2NLb+Lo0ePir1794rp06eLhg0bitmzZ8ui7F5XDM8++6wQQogLFy6I+fPnCz8/P9GrVy8RHBws7rvvPlFUVCRFs81Y+7sw/j+Pjo4WL774okvbWRtrfxfbt28Xffv2FZGRkWLMmDEiNDRU3H///W73d6HRaERWVpbYsGGDePbZZ0VYWJh44403hEajkbwSaezSpUvirrvuEqNGjTJU5vRd+2lpaeKtt94SPj4+IjExUQQFBYn7779f8qELlliKo/r7a2pqqnjiiSeESqUSDz/8sMjOzpaiqbWqK46UlBQREREhRowYIfz8/MSYMWPE9evXpWqu0zE5qlRYWCgmTpwoJkyYIC5cuCCEqHphvPfee6J58+aGqso333wjkpKSxODBg8Xu3bularIZa2Ko/uYipzdLPVt+F59//rlITEwU/fv3d7vfhXGVLiUlRaxfv15262bZ8prSf/L/7LPPZBVHXTHExcUZktFjx46JZcuWibfeekscOHBAqiZbZMvv4syZM2Lq1Kli4MCBsvq70NO3e/ny5aJ///7irbfesnjcsWPHxJo1a8SRI0dc2TyrWRvHG2+8IaKiosTevXtd2TyrWRPHH3/8IVQqlRg4cKBJt61SeURylJWVJc6fPy/y8vKEEKbZsPEn3v/+97+ia9eu4p133jF5/pdffik6d+5seEMqLi52edeNo2JIS0tzTYNr4OjfRWFhocvfOB0Vw8WLFyVNTpXwmnJUDKmpqa5pcA0c+ZoSQvehx9XdaNbGYHy7uLhYPPnkk2LIkCGGv+P9+/cLIaT74OaoOKROrh0Vh36x3aysLLFu3TpXNF0WFJ0cabVaMW3aNNGiRQvRo0cP0aZNG8M4G+P+7YqKCvHdd98JIYR46qmnRL9+/cRvv/1mePztt98WgwYNMhsE7ApKiEEIZcShhBiEUEYcSohBCGXEYW0MWq3WZHyK/mK9ceNGMWzYMDFx4kRx2223CZVKJa5everaIATjqC0O45mDnkKxydHff/8tOnXqJPr37y82bdok/vzzTzFo0CCRnJxsctyXX34poqOjRXJysigrKxMnT54UjzzyiPDx8RFPP/20mDp1qggPDxeffPKJEMK1n2aUEINS4lBCDEqJQwkxKCUOW2MYOXKkyMzMNHksMzNTdOrUSahUKjFu3DhJqniMo4oc4pADxSZH77zzjpg9e7bJYMp3331X3HHHHYYMecmSJSIuLk58/fXXZmXG999/XzzxxBPi1ltvNUxLdjUlxCCEMuJQQgxCKCMOJcQghDLisDWG6pWtXbt2icjISNG+fXvD/mNSYBw6colDDhSTHFWfHZCdnW0ytTUrK0v06dNHTJ8+3WTaffWZKFKOAVFCDEIoIw4lxCCEMuJQQgxCKCMOR8WgV1hYaFhfzZUYh7zikCNFJEdz584VDz30kHj99dctTi1cuXKl8PLyEgMHDhQTJkwQkZGR4oEHHpBVuVAJMQihjDiUEIMQyohDCTEIoYw4HB2DVEke45BXHHLl1slRWlqa6Nmzp+jSpYuYMmWKiImJEb179xY//PCDyXEbNmwwLHQlhG42REBAgNiwYYOrm2xGCTEIoYw4lBCDEMqIQwkxCKGMOJQQgxCMQ25xyJ1bJ0dLliwR3bt3F7m5uUIIXUlw9OjRYtCgQeLw4cM1Pq+oqEgEBASIL7/80lVNrZESYhBCGXEoIQYhlBGHEmIQQhlxKCEGIRiH3OKQOy+pN76tj9TUVPj6+iI4OBgAEBwcjOeffx7+/v545513anzeihUr0LNnT4waNcpVTa2REmIAlBGHEmIAlBGHEmIAlBGHEmIAGIfc4pA7t06OSktL4ePjg6ysLMN9SUlJGDFiBE6ePIkNGzYY7j9z5gzOnj2LqVOnYvbs2ZgwYQKaNGkiRbNNKCEGQBlxKCEGQBlxKCEGQBlxKCEGgHHILQ7Zk7p0ZQ/9CP2TJ08KlUpltunr4cOHRd++fcX8+fOFEELk5OSIl19+WbRs2VIMHDiw1tKjqyghBiGUEYcSYhBCGXEoIQYhlBGHEmIQgnHILQ53IdvkqLYNBo3X+7jrrrtEjx49zJbK79u3r5g6darh9vHjxw27bbuKEmIQQhlxKCEGIZQRhxJiEEIZcSghBiEYh55c4lAC2XWrlZWVYcaMGbj//vsxadIkbNu2zfBYeXk5AMDHxwdlZWU4e/Ys3n//fZw6dQofffQR8vLyAAAVFRXw9/dHZGSk4bkdO3bEgAEDGIOHxaGEGJQShxJiUEocSoiBccgvDkWROjsztmrVKhEXFyeGDh0q/vOf/4guXbqIgQMHih9//NHkuAULFoigoCDD5otffvmlSEhIELfeeqtYvXq1mDFjhmjSpIkkOyArIQYhlBGHEmIQQhlxKCEGIZQRhxJiEIJxyC0OpZFNcnT27Fkxfvx48dprrxnuy8rKEjfddJOhD7W0tFQ89dRTIjo6Wnz77bcmq4P+9ttvYuTIkaJ///6id+/eYvfu3a4OQRExCKGMOJQQgxDKiEMJMQihjDiUEIMQjENPLnEokeTJkX5VzhMnToi5c+eK8+fPCyGq+leHDx8uHnvsMSGEbkDa6dOnRV5enuH51ZdPz8jIcEWzTSghBiGUEYcSYhBCGXEoIQYhlBGHEmIQgnHoySUOJZMsOdqzZ48QQphtfGdMrVaLAQMGiK+//tpVzbKJEmIQQhlxKCEGIZQRhxJiEEIZcSghBiEYB7meywdk//LLL2jWrBlGjBiB1NRUeHt7Q6PRGI+BMnxfXl6Oa9euoVOnTq5uZq2UEAOgjDiUEAOgjDiUEAOgjDiUEAPAOEg6Lk2Ovv/+e7z99ttISkpCx44dMX/+fACAt7e34RiVSmX4fvv27SgoKEDbtm0N92VmZgIAtFqti1ptSgkxAMqIQwkxAMqIQwkxAMqIQwkxAIxDbnF4GpckR/oMOSEhAcOGDcM777yD0aNHY/Pmzdi8ebPJMcZWrVqFm266CRERETh06BBuuukmPP3009BqtfDycm3RSwkxGLfRneNQQgzGbXTnOJQQg3Eb3TkOJcRg3EbGIY84PJYz++xOnz5tGHimpx9wduzYMTF69GgxcuRIw2PGx2o0GjFmzBjx3nvvialTpwovLy8xadIkUVZW5swmm1FCDEIoIw4lxCCEMuJQQgxCKCMOJcQgBOMQQl5xeDqnJEcrV64U8fHxol27dqJPnz4mA8uMXwjffPON6Nixo/jmm2+EEKYj8NPS0oRKpRIqlUoMGDBAnDhxwhlNrZESYhBCGXEoIQYhlBGHEmIQQhlxKCEGIRiH3OIgHYcnR+vWrRPx8fHis88+E2vXrhUzZ84Uvr6+4ssvvxTFxcVCiKos+vLly+LRRx8ViYmJoqCgQAihG6kvhC7Dnjhxoli/fr2jm+gRMSglDiXEoJQ4lBCDUuJQQgyMQ35xUBWHJUf6zHju3LmiV69eJmXAZ555RvTu3Vv8/PPPZs9bs2aN6N27t3jttdfEkSNHxKhRo0RaWpqjmmUTJcQghDLiUEIMQigjDiXEIIQy4lBCDEIwDrnFQeYcXjmaOHGiuPvuu4UQwvBCycnJEYMGDRKTJ08W6enpQoiqdR6KiorEM888I1QqlfDx8RG33nqrKC0tdXSzbKKEGIRQRhxKiEEIZcShhBiEUEYcSohBCMYhtzioit3J0bp168S0adPERx99ZFjYSgjdfi+hoaGGF4H+hfLll1+Ktm3bis2bNxuOLSwsFB999JHw9vYWQ4cOFf/884+9zfHYGIRQRhxKiEEIZcShhBiEUEYcSohBCMYhtziobjYnR1evXhW33367iI6OFvfff7/o0qWLCA8PN7xQUlJSRLNmzcQrr7wihKjqSxVCiJiYGPHRRx8Zbh8/flz07dtXLFu2rJ5heF4MQigjDiXEIIQy4lBCDEIoIw4lxCAE4xBCXnGQ9WxKjoqKisTkyZPFxIkTDXvBCCFEnz59xEMPPSSEECI/P1+8+eabIjAw0NCHqu+XHTJkiGG/GKkoIQYhlBGHEmIQQhlxKCEGIZQRhxJiEIJxyC0Oso1NK0oFBQXB398fDz30EFq2bImKigoAwMiRI3Hy5EkIIRAaGor77rsPPXv2xN13342LFy9CpVIhLS0NWVlZGDt2rDOWa/KoGABlxKGEGABlxKGEGABlxKGEGADGIbc4yEa2ZlPGo/H16zPcd9994vHHHzc57vLlyyIhIUHEx8eLO++8UzRt2lTcfPPNstg9WAkxCKGMOJQQgxDKiEMJMQihjDiUEIMQjENucZD1VEIY7Xhnp0GDBuHxxx/H5MmTDXu/eHl54ezZszhw4AD27NmDbt26YfLkyfVO5pxFCTEAyohDCTEAyohDCTEAyohDCTEAjIPcRH2zq3PnzonGjRuL/fv3G+4zHozmDpQQgxDKiEMJMQihjDiUEIMQyohDCTEIwTjIfdi9i52oLDht374dISEh6NWrFwBg7ty5eO6555CVleWY7M2JlBADoIw4lBADoIw4lBADoIw4lBADwDjI/fjY+0SVSgUA2Lt3LyZMmID169fjiSeeQHFxMb799ltER0c7rJHOooQYAGXEoYQYAGXEoYQYAGXEoYQYAMZBbqg+ZaeSkhKRkJAgVCqV8Pf3F/Pnz69fHUsCSohBCGXEoYQYhFBGHEqIQQhlxKGEGIRgHORe6j0g+5ZbbkGbNm3w4YcfIiAgwFE5m0spIQZAGXEoIQZAGXEoIQZAGXEoIQaAcZD7qHdypNFo4O3t7aj2SEIJMQDKiEMJMQDKiEMJMQDKiEMJMQCMg9yHQ6byExERESmF3bPViIiIiJSIyRERERGRESZHREREREaYHBEREREZYXJEREREZITJEREREZERJkdE5BE2b94MlUqF3NxcqZtCRDLHdY6ISJGGDh2K7t274+OPPwYAlJWVIScnB40bNzbskUVEZIndG88SEbkTPz8/xMTESN0MInID7FYjIsV56KGHsGXLFixYsAAqlQoqlQpLliwx6VZbsmQJGjRogDVr1qBdu3YICgrCnXfeieLiYixduhTx8fGIiIjAs88+C41GYzi3Wq3GrFmz0KxZMwQHB6Nv377YvHmzNIESkVOwckREirNgwQKcPn0anTt3xuuvvw4AOH78uNlxxcXF+M9//oMVK1agoKAA48ePx7hx49CgQQP88ccfOH/+PCZMmICBAwdi4sSJAICpU6fixIkTWLFiBZo2bYpVq1bhtttuw9GjR9GmTRuXxklEzsHkiIgUJzw8HH5+fggKCjJ0pZ06dcrsuPLycixcuBCtW7cGANx555349ttvkZmZiZCQEHTs2BE33XQTNm3ahIkTJyItLQ2LFy9GWloamjZtCgCYNWsW1q5di8WLF+Ptt992XZBE5DRMjojIYwUFBRkSIwBo3Lgx4uPjERISYnJfVlYWAODo0aPQaDRo27atyXnUajUaNmzomkYTkdMxOSIij+Xr62tyW6VSWbxPq9UCAAoLC+Ht7Y0DBw7A29vb5DjjhIqI3BuTIyJSJD8/P5OB1I7Qo0cPaDQaZGVlYfDgwQ49NxHJB2erEZEixcfHY8+ePUhNTcX169cN1Z/6aNu2Le6//35MmjQJP//8My5cuIC9e/di3rx5+P333x3QaiKSAyZHRKRIs2bNgre3Nzp27IioqCikpaU55LyLFy/GpEmT8Pzzz6Ndu3YYO3Ys9u3bh+bNmzvk/EQkPa6QTURERGSElSMiIiIiI0yOiIiIiIwwOSIiIiIywuSIiIiIyAiTIyIiIiIjTI6IiIiIjDA5IiIiIjLC5IiIiIjICJMjIiIiIiNMjoiIiIiMMDkiIiIiMsLkiIiIiMjI/wc2+k7dAhb/cgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%time\n",
    "zarrs.sea_water_temperature.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "67e5a629",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 123 ms, sys: 0 ns, total: 123 ms\n",
      "Wall time: 444 ms\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f2f703c7f10>]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%time\n",
    "zarrs.sea_water_salinity.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3d33b0f2",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "conda_datahack",
   "language": "python",
   "name": "conda_datahack"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}