{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "e3475f48-f578-4dd3-ba2d-3a867c6017ec",
   "metadata": {},
   "source": [
    "# Idealized Synthetic Data\n",
    "\n",
    "*Under development*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "e269871b-d164-4c66-a41a-fb9363519976",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Please install h5py to open files from the Amazon S3 servers.\n",
      "Please install h5netcdf to open files from the Amazon S3 servers.\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import xarray as xr\n",
    "from IPython.display import display  # so can run as script too\n",
    "\n",
    "from melodies_monet import driver"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "ccc2046a-96dc-4f69-9eca-489d06decda9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "analysis(\n",
       "    control='control_idealized.yaml',\n",
       "    control_dict=...,\n",
       "    models={},\n",
       "    obs={},\n",
       "    paired={},\n",
       "    start_time=Timestamp('2019-09-09 00:00:00'),\n",
       "    end_time=Timestamp('2019-09-10 00:00:00'),\n",
       "    time_intervals=None,\n",
       "    download_maps=True,\n",
       "    output_dir='./output/idealized',\n",
       "    output_dir_save='./output/idealized',\n",
       "    output_dir_read='./output/idealized',\n",
       "    debug=True,\n",
       "    save={'paired': {'method': 'netcdf', 'prefix': 'asdf', 'data': 'all'}},\n",
       "    read={'paired': {'method': 'netcdf', 'filenames': {'test_obs_test_model': 'asdf_test_obs_test_model.nc4'}}},\n",
       ")"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "an = driver.analysis()\n",
    "an.control = \"control_idealized.yaml\"\n",
    "an.read_control()\n",
    "an"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "da810d1b-4197-464e-9533-29baf8a2bbce",
   "metadata": {},
   "source": [
    "````{admonition} Note: This is the complete file that was loaded.\n",
    ":class: dropdown\n",
    "\n",
    "```{literalinclude} control_idealized.yaml\n",
    ":caption:\n",
    ":linenos:\n",
    "```\n",
    "````"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4ddcd0a8-28fd-4438-8a50-3ea8cfec1154",
   "metadata": {},
   "source": [
    "## Generate data\n",
    "\n",
    "### Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "6da3a22f-7d2d-49b5-973c-a6758463aefb",
   "metadata": {
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (time: 9, lat: 100, lon: 200, z: 1)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 2019-09-09 2019-09-09T03:00:00 ... 2019-09-10\n",
       "  * lat      (lat) float64 18.0 18.42 18.85 19.27 ... 58.73 59.15 59.58 60.0\n",
       "  * lon      (lon) float64 -161.0 -160.5 -160.0 -159.5 ... -61.02 -60.51 -60.0\n",
       "  * z        (z) int32 1\n",
       "Data variables:\n",
       "    A        (time, z, lat, lon) float64 0.000964 0.001019 ... 0.5379 0.5353\n",
       "    B        (time, z, lat, lon) float64 0.000964 0.001019 ... 0.5379 0.5353</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-de5ba35c-689f-4049-b8b5-5aad3b1ed4a1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-de5ba35c-689f-4049-b8b5-5aad3b1ed4a1' 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>: 9</li><li><span class='xr-has-index'>lat</span>: 100</li><li><span class='xr-has-index'>lon</span>: 200</li><li><span class='xr-has-index'>z</span>: 1</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-c2b15364-225b-41ef-a7f4-715ffaead278' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c2b15364-225b-41ef-a7f4-715ffaead278' class='xr-section-summary' >Coordinates: <span>(4)</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'>2019-09-09 ... 2019-09-10</div><input id='attrs-61eb9c57-3eeb-4b45-a2ef-708c7880a165' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-61eb9c57-3eeb-4b45-a2ef-708c7880a165' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8287070c-e1e2-429c-b964-e0c63ec18c3f' class='xr-var-data-in' type='checkbox'><label for='data-8287070c-e1e2-429c-b964-e0c63ec18c3f' 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;2019-09-09T00:00:00.000000000&#x27;, &#x27;2019-09-09T03:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-09T06:00:00.000000000&#x27;, &#x27;2019-09-09T09:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-09T12:00:00.000000000&#x27;, &#x27;2019-09-09T15:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-09T18:00:00.000000000&#x27;, &#x27;2019-09-09T21:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-10T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>18.0 18.42 18.85 ... 59.58 60.0</div><input id='attrs-f209a111-adde-40a4-8b83-721c95604134' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f209a111-adde-40a4-8b83-721c95604134' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cdd73b70-e1c4-405d-b63d-efcc25d3914c' class='xr-var-data-in' type='checkbox'><label for='data-cdd73b70-e1c4-405d-b63d-efcc25d3914c' 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'><dt><span>longname :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degN</dd></dl></div><div class='xr-var-data'><pre>array([18.      , 18.424242, 18.848485, 19.272727, 19.69697 , 20.121212,\n",
       "       20.545455, 20.969697, 21.393939, 21.818182, 22.242424, 22.666667,\n",
       "       23.090909, 23.515152, 23.939394, 24.363636, 24.787879, 25.212121,\n",
       "       25.636364, 26.060606, 26.484848, 26.909091, 27.333333, 27.757576,\n",
       "       28.181818, 28.606061, 29.030303, 29.454545, 29.878788, 30.30303 ,\n",
       "       30.727273, 31.151515, 31.575758, 32.      , 32.424242, 32.848485,\n",
       "       33.272727, 33.69697 , 34.121212, 34.545455, 34.969697, 35.393939,\n",
       "       35.818182, 36.242424, 36.666667, 37.090909, 37.515152, 37.939394,\n",
       "       38.363636, 38.787879, 39.212121, 39.636364, 40.060606, 40.484848,\n",
       "       40.909091, 41.333333, 41.757576, 42.181818, 42.606061, 43.030303,\n",
       "       43.454545, 43.878788, 44.30303 , 44.727273, 45.151515, 45.575758,\n",
       "       46.      , 46.424242, 46.848485, 47.272727, 47.69697 , 48.121212,\n",
       "       48.545455, 48.969697, 49.393939, 49.818182, 50.242424, 50.666667,\n",
       "       51.090909, 51.515152, 51.939394, 52.363636, 52.787879, 53.212121,\n",
       "       53.636364, 54.060606, 54.484848, 54.909091, 55.333333, 55.757576,\n",
       "       56.181818, 56.606061, 57.030303, 57.454545, 57.878788, 58.30303 ,\n",
       "       58.727273, 59.151515, 59.575758, 60.      ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-161.0 -160.5 ... -60.51 -60.0</div><input id='attrs-83386326-8c48-4c53-add4-9e1cfcc20cfc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-83386326-8c48-4c53-add4-9e1cfcc20cfc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b1c6d6b8-caa7-4197-8738-75560d6b2922' class='xr-var-data-in' type='checkbox'><label for='data-b1c6d6b8-caa7-4197-8738-75560d6b2922' 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'><dt><span>longname :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degE</dd></dl></div><div class='xr-var-data'><pre>array([-161.      , -160.492462, -159.984925, -159.477387, -158.969849,\n",
       "       -158.462312, -157.954774, -157.447236, -156.939698, -156.432161,\n",
       "       -155.924623, -155.417085, -154.909548, -154.40201 , -153.894472,\n",
       "       -153.386935, -152.879397, -152.371859, -151.864322, -151.356784,\n",
       "       -150.849246, -150.341709, -149.834171, -149.326633, -148.819095,\n",
       "       -148.311558, -147.80402 , -147.296482, -146.788945, -146.281407,\n",
       "       -145.773869, -145.266332, -144.758794, -144.251256, -143.743719,\n",
       "       -143.236181, -142.728643, -142.221106, -141.713568, -141.20603 ,\n",
       "       -140.698492, -140.190955, -139.683417, -139.175879, -138.668342,\n",
       "       -138.160804, -137.653266, -137.145729, -136.638191, -136.130653,\n",
       "       -135.623116, -135.115578, -134.60804 , -134.100503, -133.592965,\n",
       "       -133.085427, -132.577889, -132.070352, -131.562814, -131.055276,\n",
       "       -130.547739, -130.040201, -129.532663, -129.025126, -128.517588,\n",
       "       -128.01005 , -127.502513, -126.994975, -126.487437, -125.979899,\n",
       "       -125.472362, -124.964824, -124.457286, -123.949749, -123.442211,\n",
       "       -122.934673, -122.427136, -121.919598, -121.41206 , -120.904523,\n",
       "       -120.396985, -119.889447, -119.38191 , -118.874372, -118.366834,\n",
       "       -117.859296, -117.351759, -116.844221, -116.336683, -115.829146,\n",
       "       -115.321608, -114.81407 , -114.306533, -113.798995, -113.291457,\n",
       "       -112.78392 , -112.276382, -111.768844, -111.261307, -110.753769,\n",
       "       -110.246231, -109.738693, -109.231156, -108.723618, -108.21608 ,\n",
       "       -107.708543, -107.201005, -106.693467, -106.18593 , -105.678392,\n",
       "       -105.170854, -104.663317, -104.155779, -103.648241, -103.140704,\n",
       "       -102.633166, -102.125628, -101.61809 , -101.110553, -100.603015,\n",
       "       -100.095477,  -99.58794 ,  -99.080402,  -98.572864,  -98.065327,\n",
       "        -97.557789,  -97.050251,  -96.542714,  -96.035176,  -95.527638,\n",
       "        -95.020101,  -94.512563,  -94.005025,  -93.497487,  -92.98995 ,\n",
       "        -92.482412,  -91.974874,  -91.467337,  -90.959799,  -90.452261,\n",
       "        -89.944724,  -89.437186,  -88.929648,  -88.422111,  -87.914573,\n",
       "        -87.407035,  -86.899497,  -86.39196 ,  -85.884422,  -85.376884,\n",
       "        -84.869347,  -84.361809,  -83.854271,  -83.346734,  -82.839196,\n",
       "        -82.331658,  -81.824121,  -81.316583,  -80.809045,  -80.301508,\n",
       "        -79.79397 ,  -79.286432,  -78.778894,  -78.271357,  -77.763819,\n",
       "        -77.256281,  -76.748744,  -76.241206,  -75.733668,  -75.226131,\n",
       "        -74.718593,  -74.211055,  -73.703518,  -73.19598 ,  -72.688442,\n",
       "        -72.180905,  -71.673367,  -71.165829,  -70.658291,  -70.150754,\n",
       "        -69.643216,  -69.135678,  -68.628141,  -68.120603,  -67.613065,\n",
       "        -67.105528,  -66.59799 ,  -66.090452,  -65.582915,  -65.075377,\n",
       "        -64.567839,  -64.060302,  -63.552764,  -63.045226,  -62.537688,\n",
       "        -62.030151,  -61.522613,  -61.015075,  -60.507538,  -60.      ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>z</span></div><div class='xr-var-dims'>(z)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1</div><input id='attrs-b71cc14a-7aab-4941-b3f3-2e13b6fb5e4d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b71cc14a-7aab-4941-b3f3-2e13b6fb5e4d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6339ffdf-f93e-4a08-9829-4dc3fce49cc8' class='xr-var-data-in' type='checkbox'><label for='data-6339ffdf-f93e-4a08-9829-4dc3fce49cc8' 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([1])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0f0d96e5-1d08-4b6a-b2bd-7c07e45ee53d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0f0d96e5-1d08-4b6a-b2bd-7c07e45ee53d' class='xr-section-summary' >Data variables: <span>(2)</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>A</span></div><div class='xr-var-dims'>(time, z, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.000964 0.001019 ... 0.5379 0.5353</div><input id='attrs-f04ccc2f-8acb-48c4-af37-b33f7b8084f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f04ccc2f-8acb-48c4-af37-b33f7b8084f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97c6e709-db9c-4743-afd1-96f7603842e3' class='xr-var-data-in' type='checkbox'><label for='data-97c6e709-db9c-4743-afd1-96f7603842e3' 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'><dt><span>units :</span></dt><dd>Units of A</dd></dl></div><div class='xr-var-data'><pre>array([[[[9.63975726e-04, 1.01875818e-03, 1.07544624e-03, ...,\n",
       "          2.00950606e-08, 1.70244972e-08, 1.44069436e-08],\n",
       "         [1.20383270e-03, 1.27224615e-03, 1.34303937e-03, ...,\n",
       "          2.50951247e-08, 2.12605420e-08, 1.79916872e-08],\n",
       "         [1.49656914e-03, 1.58161871e-03, 1.66962674e-03, ...,\n",
       "          3.11975154e-08, 2.64304758e-08, 2.23667324e-08],\n",
       "         ...,\n",
       "         [1.49656914e-03, 1.58161871e-03, 1.66962674e-03, ...,\n",
       "          3.11975154e-08, 2.64304758e-08, 2.23667324e-08],\n",
       "         [1.20383270e-03, 1.27224615e-03, 1.34303937e-03, ...,\n",
       "          2.50951247e-08, 2.12605420e-08, 1.79916872e-08],\n",
       "         [9.63975726e-04, 1.01875818e-03, 1.07544624e-03, ...,\n",
       "          2.00950606e-08, 1.70244972e-08, 1.44069436e-08]]],\n",
       "\n",
       "\n",
       "       [[[9.74897496e-03, 1.01620305e-02, 1.05854638e-02, ...,\n",
       "          7.92682641e-05, 7.23717070e-05, 6.60307366e-05],\n",
       "         [1.11377824e-02, 1.16096805e-02, 1.20934348e-02, ...,\n",
       "          9.05605644e-05, 8.26815461e-05, 7.54372616e-05],\n",
       "         [1.26898970e-02, 1.32275569e-02, 1.37787251e-02, ...,\n",
       "...\n",
       "          4.61781024e-01, 4.58393941e-01, 4.54976507e-01],\n",
       "         [1.80546257e-01, 1.83556544e-01, 1.86594386e-01, ...,\n",
       "          4.51043543e-01, 4.47735218e-01, 4.44397247e-01],\n",
       "         [1.76261723e-01, 1.79200573e-01, 1.82166324e-01, ...,\n",
       "          4.40339851e-01, 4.37110036e-01, 4.33851278e-01]]],\n",
       "\n",
       "\n",
       "       [[[1.96911675e-01, 1.99892586e-01, 2.02898127e-01, ...,\n",
       "          5.40558852e-01, 5.37930786e-01, 5.35261429e-01],\n",
       "         [2.00889145e-01, 2.03930268e-01, 2.06996519e-01, ...,\n",
       "          5.51477740e-01, 5.48796589e-01, 5.46073312e-01],\n",
       "         [2.04863330e-01, 2.07964616e-01, 2.11091527e-01, ...,\n",
       "          5.62387611e-01, 5.59653419e-01, 5.56876269e-01],\n",
       "         ...,\n",
       "         [2.04863330e-01, 2.07964616e-01, 2.11091527e-01, ...,\n",
       "          5.62387611e-01, 5.59653419e-01, 5.56876269e-01],\n",
       "         [2.00889145e-01, 2.03930268e-01, 2.06996519e-01, ...,\n",
       "          5.51477740e-01, 5.48796589e-01, 5.46073312e-01],\n",
       "         [1.96911675e-01, 1.99892586e-01, 2.02898127e-01, ...,\n",
       "          5.40558852e-01, 5.37930786e-01, 5.35261429e-01]]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B</span></div><div class='xr-var-dims'>(time, z, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.000964 0.001019 ... 0.5379 0.5353</div><input id='attrs-ab727762-eb91-40d5-9873-8550358d0618' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ab727762-eb91-40d5-9873-8550358d0618' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a5a745dc-1720-4dff-ab25-7b765668072f' class='xr-var-data-in' type='checkbox'><label for='data-a5a745dc-1720-4dff-ab25-7b765668072f' 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'><dt><span>units :</span></dt><dd>Units of B</dd></dl></div><div class='xr-var-data'><pre>array([[[[9.63975726e-04, 1.01875818e-03, 1.07544624e-03, ...,\n",
       "          2.00950606e-08, 1.70244972e-08, 1.44069436e-08],\n",
       "         [1.20383270e-03, 1.27224615e-03, 1.34303937e-03, ...,\n",
       "          2.50951247e-08, 2.12605420e-08, 1.79916872e-08],\n",
       "         [1.49656914e-03, 1.58161871e-03, 1.66962674e-03, ...,\n",
       "          3.11975154e-08, 2.64304758e-08, 2.23667324e-08],\n",
       "         ...,\n",
       "         [1.49656914e-03, 1.58161871e-03, 1.66962674e-03, ...,\n",
       "          3.11975154e-08, 2.64304758e-08, 2.23667324e-08],\n",
       "         [1.20383270e-03, 1.27224615e-03, 1.34303937e-03, ...,\n",
       "          2.50951247e-08, 2.12605420e-08, 1.79916872e-08],\n",
       "         [9.63975726e-04, 1.01875818e-03, 1.07544624e-03, ...,\n",
       "          2.00950606e-08, 1.70244972e-08, 1.44069436e-08]]],\n",
       "\n",
       "\n",
       "       [[[9.74897496e-03, 1.01620305e-02, 1.05854638e-02, ...,\n",
       "          7.92682641e-05, 7.23717070e-05, 6.60307366e-05],\n",
       "         [1.11377824e-02, 1.16096805e-02, 1.20934348e-02, ...,\n",
       "          9.05605644e-05, 8.26815461e-05, 7.54372616e-05],\n",
       "         [1.26898970e-02, 1.32275569e-02, 1.37787251e-02, ...,\n",
       "...\n",
       "          4.61781024e-01, 4.58393941e-01, 4.54976507e-01],\n",
       "         [1.80546257e-01, 1.83556544e-01, 1.86594386e-01, ...,\n",
       "          4.51043543e-01, 4.47735218e-01, 4.44397247e-01],\n",
       "         [1.76261723e-01, 1.79200573e-01, 1.82166324e-01, ...,\n",
       "          4.40339851e-01, 4.37110036e-01, 4.33851278e-01]]],\n",
       "\n",
       "\n",
       "       [[[1.96911675e-01, 1.99892586e-01, 2.02898127e-01, ...,\n",
       "          5.40558852e-01, 5.37930786e-01, 5.35261429e-01],\n",
       "         [2.00889145e-01, 2.03930268e-01, 2.06996519e-01, ...,\n",
       "          5.51477740e-01, 5.48796589e-01, 5.46073312e-01],\n",
       "         [2.04863330e-01, 2.07964616e-01, 2.11091527e-01, ...,\n",
       "          5.62387611e-01, 5.59653419e-01, 5.56876269e-01],\n",
       "         ...,\n",
       "         [2.04863330e-01, 2.07964616e-01, 2.11091527e-01, ...,\n",
       "          5.62387611e-01, 5.59653419e-01, 5.56876269e-01],\n",
       "         [2.00889145e-01, 2.03930268e-01, 2.06996519e-01, ...,\n",
       "          5.51477740e-01, 5.48796589e-01, 5.46073312e-01],\n",
       "         [1.96911675e-01, 1.99892586e-01, 2.02898127e-01, ...,\n",
       "          5.40558852e-01, 5.37930786e-01, 5.35261429e-01]]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-118a5d07-fd5d-4fc5-bf14-0e1da8025471' class='xr-section-summary-in' type='checkbox'  ><label for='section-118a5d07-fd5d-4fc5-bf14-0e1da8025471' class='xr-section-summary' >Indexes: <span>(4)</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-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7e7887a7-dc42-4758-869a-984f5a25ddf1' class='xr-index-data-in' type='checkbox'/><label for='index-7e7887a7-dc42-4758-869a-984f5a25ddf1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2019-09-09 00:00:00&#x27;, &#x27;2019-09-09 03:00:00&#x27;,\n",
       "               &#x27;2019-09-09 06:00:00&#x27;, &#x27;2019-09-09 09:00:00&#x27;,\n",
       "               &#x27;2019-09-09 12:00:00&#x27;, &#x27;2019-09-09 15:00:00&#x27;,\n",
       "               &#x27;2019-09-09 18:00:00&#x27;, &#x27;2019-09-09 21:00:00&#x27;,\n",
       "               &#x27;2019-09-10 00:00:00&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=&#x27;3H&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-db592964-295e-4f91-aba9-bb750597562c' class='xr-index-data-in' type='checkbox'/><label for='index-db592964-295e-4f91-aba9-bb750597562c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([              18.0, 18.424242424242426, 18.848484848484848,\n",
       "              19.272727272727273, 19.696969696969695,  20.12121212121212,\n",
       "              20.545454545454547,  20.96969696969697, 21.393939393939394,\n",
       "               21.81818181818182, 22.242424242424242, 22.666666666666668,\n",
       "               23.09090909090909, 23.515151515151516, 23.939393939393938,\n",
       "              24.363636363636363,  24.78787878787879,  25.21212121212121,\n",
       "              25.636363636363637, 26.060606060606062, 26.484848484848484,\n",
       "               26.90909090909091, 27.333333333333336, 27.757575757575758,\n",
       "               28.18181818181818, 28.606060606060606,  29.03030303030303,\n",
       "              29.454545454545453,  29.87878787878788, 30.303030303030305,\n",
       "              30.727272727272727, 31.151515151515152, 31.575757575757578,\n",
       "                            32.0,  32.42424242424242,  32.84848484848485,\n",
       "               33.27272727272727, 33.696969696969695, 34.121212121212125,\n",
       "               34.54545454545455,  34.96969696969697,  35.39393939393939,\n",
       "               35.81818181818182,  36.24242424242424,  36.66666666666667,\n",
       "               37.09090909090909, 37.515151515151516,  37.93939393939394,\n",
       "               38.36363636363636,  38.78787878787879,  39.21212121212121,\n",
       "               39.63636363636364,  40.06060606060606, 40.484848484848484,\n",
       "               40.90909090909091, 41.333333333333336,  41.75757575757576,\n",
       "               42.18181818181819,  42.60606060606061,  43.03030303030303,\n",
       "               43.45454545454545, 43.878787878787875, 44.303030303030305,\n",
       "               44.72727272727273, 45.151515151515156,  45.57575757575758,\n",
       "                            46.0,  46.42424242424242, 46.848484848484844,\n",
       "               47.27272727272727,   47.6969696969697, 48.121212121212125,\n",
       "               48.54545454545455,  48.96969696969697,  49.39393939393939,\n",
       "               49.81818181818182,  50.24242424242424, 50.666666666666664,\n",
       "               51.09090909090909, 51.515151515151516,  51.93939393939394,\n",
       "               52.36363636363637,  52.78787878787879,  53.21212121212121,\n",
       "               53.63636363636364,  54.06060606060606, 54.484848484848484,\n",
       "              54.909090909090914, 55.333333333333336,  55.75757575757576,\n",
       "               56.18181818181818,  56.60606060606061,  57.03030303030303,\n",
       "               57.45454545454545,  57.87878787878788, 58.303030303030305,\n",
       "               58.72727272727273, 59.151515151515156,  59.57575757575758,\n",
       "                            60.0],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8c7d7391-8c4e-4656-96f1-6ec3b08ffc8b' class='xr-index-data-in' type='checkbox'/><label for='index-8c7d7391-8c4e-4656-96f1-6ec3b08ffc8b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([             -161.0,  -160.4924623115578, -159.98492462311557,\n",
       "              -159.47738693467338, -158.96984924623115, -158.46231155778895,\n",
       "              -157.95477386934672, -157.44723618090453,  -156.9396984924623,\n",
       "               -156.4321608040201,\n",
       "              ...\n",
       "                -64.5678391959799,  -64.06030150753769, -63.552763819095475,\n",
       "              -63.045226130653276,  -62.53768844221106,  -62.03015075376885,\n",
       "               -61.52261306532664, -61.015075376884425,  -60.50753768844221,\n",
       "                            -60.0],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=200))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>z</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0c1634f4-3ad6-4adc-a7b9-7d910397e68b' class='xr-index-data-in' type='checkbox'/><label for='index-0c1634f4-3ad6-4adc-a7b9-7d910397e68b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Int64Index([1], dtype=&#x27;int64&#x27;, name=&#x27;z&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bef0747f-4306-4f14-8c1b-5c301fb83724' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bef0747f-4306-4f14-8c1b-5c301fb83724' 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: 9, lat: 100, lon: 200, z: 1)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 2019-09-09 2019-09-09T03:00:00 ... 2019-09-10\n",
       "  * lat      (lat) float64 18.0 18.42 18.85 19.27 ... 58.73 59.15 59.58 60.0\n",
       "  * lon      (lon) float64 -161.0 -160.5 -160.0 -159.5 ... -61.02 -60.51 -60.0\n",
       "  * z        (z) int32 1\n",
       "Data variables:\n",
       "    A        (time, z, lat, lon) float64 0.000964 0.001019 ... 0.5379 0.5353\n",
       "    B        (time, z, lat, lon) float64 0.000964 0.001019 ... 0.5379 0.5353"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rs = np.random.RandomState(42)\n",
    "\n",
    "control = an.control_dict\n",
    "\n",
    "nlat = 100\n",
    "nlon = 200\n",
    "\n",
    "lon = np.linspace(-161, -60, nlon)\n",
    "lat = np.linspace(18, 60, nlat)\n",
    "Lon, Lat = np.meshgrid(lon, lat)\n",
    "\n",
    "time = pd.date_range(control['analysis']['start_time'], control['analysis']['end_time'], freq=\"3H\")\n",
    "ntime = time.size\n",
    "\n",
    "# Generate translating and expanding Gaussian\n",
    "x_ = np.linspace(-1, 1, lon.size)\n",
    "y_ = np.linspace(-1, 1, lat.size)\n",
    "x, y = np.meshgrid(x_, y_)\n",
    "mu = np.linspace(-0.5, 0.5, ntime)\n",
    "sigma = np.linspace(0.3, 1, ntime)\n",
    "g = np.exp(\n",
    "    -(\n",
    "        (\n",
    "            (x[np.newaxis, ...] - mu[:, np.newaxis, np.newaxis])**2\n",
    "            + y[np.newaxis, ...]**2\n",
    "        ) / ( \n",
    "            2 * sigma[:, np.newaxis, np.newaxis]**2\n",
    "        ) \n",
    "    ) \n",
    ")\n",
    "\n",
    "# Coordinates\n",
    "lat_da = xr.DataArray(lat, dims=\"lat\", attrs={'longname': 'latitude', 'units': 'degN'}, name=\"lat\")\n",
    "lon_da = xr.DataArray(lon, dims=\"lon\", attrs={'longname': 'longitude', 'units': 'degE'}, name=\"lon\")\n",
    "time_da = xr.DataArray(time, dims=\"time\", name=\"time\")\n",
    "\n",
    "# Generate dataset\n",
    "field_names = control['model']['test_model']['variables'].keys()\n",
    "ds_dict = dict()\n",
    "for field_name in field_names:\n",
    "    units = control['model']['test_model']['variables'][field_name]['units']\n",
    "    # data = rs.rand(ntime, nlat, nlon)\n",
    "    data = g\n",
    "    da = xr.DataArray(\n",
    "        data,\n",
    "        # coords={\"lat\": lat_da, \"lon\": lon_da, \"time\": time_da},\n",
    "        coords=[time_da, lat_da, lon_da],\n",
    "        dims=['time', 'lat', 'lon'],\n",
    "        attrs={'units': units},\n",
    "    )\n",
    "    ds_dict[field_name] = da\n",
    "ds = xr.Dataset(ds_dict).expand_dims(\"z\", axis=1)\n",
    "ds[\"z\"] = [1]\n",
    "\n",
    "ds_mod = ds\n",
    "ds_mod"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "6d873918-ced0-4658-a739-67008fc11e4b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1600x600 with 11 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds.squeeze(\"z\").A.plot(col=\"time\", col_wrap=5, size=3);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "be956982-814e-4e15-bfb9-674926158dc1",
   "metadata": {},
   "outputs": [],
   "source": [
    "ds.to_netcdf(control['model']['test_model']['files'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ebe5aecf-5482-4fc4-a1a1-020670f53548",
   "metadata": {},
   "source": [
    "### Obs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "9b5d5cd4-9701-4252-ac24-9107e6018d0c",
   "metadata": {
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<defs>\n",
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       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
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       "\n",
       ".xr-text-repr-fallback {\n",
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       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
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       "  margin-bottom: 0;\n",
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       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
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       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:         (x: 500, time: 9, y: 1)\n",
       "Coordinates:\n",
       "  * x               (x) int32 0 1 2 3 4 5 6 7 ... 493 494 495 496 497 498 499\n",
       "  * time            (time) datetime64[ns] 2019-09-09 ... 2019-09-10\n",
       "    latitude        (y, x) float64 33.73 57.93 48.74 43.14 ... 21.26 58.92 59.42\n",
       "    longitude       (y, x) float64 -90.49 -106.9 -129.7 ... -147.2 -65.03 -116.0\n",
       "    siteid          (y, x) &lt;U3 &#x27;000&#x27; &#x27;001&#x27; &#x27;002&#x27; &#x27;003&#x27; ... &#x27;497&#x27; &#x27;498&#x27; &#x27;499&#x27;\n",
       "    something_vlen  (y, x) &lt;U7 &#x27;xicjs&#x27; &#x27;cvoaglq&#x27; &#x27;uzxt&#x27; ... &#x27;dzzfatw&#x27; &#x27;poqhzl&#x27;\n",
       "Dimensions without coordinates: y\n",
       "Data variables:\n",
       "    A_obs           (time, y, x) float64 0.21 0.1793 0.1735 ... 0.118 0.6552\n",
       "    B_obs           (time, y, x) float64 -0.1099 -0.2269 ... 0.1155 0.6365</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-bf538c49-9f5d-4271-aa19-f62c21a56301' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bf538c49-9f5d-4271-aa19-f62c21a56301' 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'>x</span>: 500</li><li><span class='xr-has-index'>time</span>: 9</li><li><span>y</span>: 1</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-211570e4-f96d-49fc-b45c-d4de367ec4c3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-211570e4-f96d-49fc-b45c-d4de367ec4c3' class='xr-section-summary' >Coordinates: <span>(6)</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'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 495 496 497 498 499</div><input id='attrs-a4b63897-8450-48a4-a060-a34fb01357a9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a4b63897-8450-48a4-a060-a34fb01357a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a8c2a74-6ca3-4082-9722-151871c6c192' class='xr-var-data-in' type='checkbox'><label for='data-4a8c2a74-6ca3-4082-9722-151871c6c192' 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([  0,   1,   2, ..., 497, 498, 499])</pre></div></li><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'>2019-09-09 ... 2019-09-10</div><input id='attrs-02801084-c345-4e86-a7a1-22650d40e980' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-02801084-c345-4e86-a7a1-22650d40e980' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7dee1341-e1cf-4e89-a81f-2e8ca241a1d2' class='xr-var-data-in' type='checkbox'><label for='data-7dee1341-e1cf-4e89-a81f-2e8ca241a1d2' 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;2019-09-09T00:00:00.000000000&#x27;, &#x27;2019-09-09T03:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-09T06:00:00.000000000&#x27;, &#x27;2019-09-09T09:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-09T12:00:00.000000000&#x27;, &#x27;2019-09-09T15:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-09T18:00:00.000000000&#x27;, &#x27;2019-09-09T21:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-10T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>33.73 57.93 48.74 ... 58.92 59.42</div><input id='attrs-714332c1-e196-4c93-acdd-d46d8f084bb0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-714332c1-e196-4c93-acdd-d46d8f084bb0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-51b7495c-843b-4010-a7e2-f1089c29de53' class='xr-var-data-in' type='checkbox'><label for='data-51b7495c-843b-4010-a7e2-f1089c29de53' 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'><dt><span>longname :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degN</dd></dl></div><div class='xr-var-data'><pre>array([[33.73068499, 57.93000087, 48.74374556, 43.14365634, 24.5527829 ,\n",
       "        24.55176985, 20.43951171, 54.37939812, 43.24683049, 47.73904827,\n",
       "        18.86454876, 58.73621379, 52.96259091, 26.91824265, 25.63664862,\n",
       "        25.70298941, 30.7781742 , 40.03977013, 36.14169078, 30.23162389,\n",
       "        43.69782158, 23.85874215, 30.27007524, 33.38719742, 37.15493934,\n",
       "        50.97739038, 26.38629885, 39.59784641, 42.88141189, 19.95091733,\n",
       "        43.51688378, 25.16201319, 20.73216691, 57.85319256, 58.55654539,\n",
       "        51.95268862, 30.79377831, 22.10222879, 46.73778711, 36.48640474,\n",
       "        23.12560586, 38.79743022, 19.44431789, 56.19145689, 28.86875923,\n",
       "        45.82593594, 31.0918652 , 39.84285689, 40.96183173, 25.76388713,\n",
       "        58.72255437, 50.55557858, 57.45895555, 55.58274872, 43.11179911,\n",
       "        56.71871787, 21.71668509, 26.23128022, 19.89954613, 31.66387389,\n",
       "        34.32444617, 29.39665933, 52.80697538, 32.98363972, 29.79924941,\n",
       "        40.79323549, 23.91881745, 51.69227319, 21.13112703, 59.44925134,\n",
       "        50.43428031, 26.34605862, 18.23192892, 52.24938   , 47.68800844,\n",
       "        48.61830106, 50.39335456, 21.10987537, 33.0555606 , 22.8665005 ,\n",
       "        54.25034389, 44.17852133, 31.89771704, 20.66945071, 31.06125751,\n",
       "        31.65769953, 48.64345949, 44.7774138 , 55.26293519, 37.83302686,\n",
       "        23.02295833, 47.95628106, 49.95297204, 41.5736423 , 50.38062156,\n",
       "        38.73941505, 39.95477883, 35.95672277, 19.06760332, 22.53143993,\n",
       "...\n",
       "        22.33120249, 55.90722208, 39.22059964, 52.71121358, 31.44208324,\n",
       "        55.6119756 , 34.34647051, 18.45518136, 56.02604301, 21.83404043,\n",
       "        31.41117278, 57.90260262, 57.92550017, 42.0843913 , 44.53716291,\n",
       "        36.83471192, 30.31485241, 31.80391091, 46.24577516, 49.59973024,\n",
       "        51.24631984, 51.163962  , 21.83065633, 38.7656528 , 20.41746792,\n",
       "        41.08021306, 36.54428106, 55.28357568, 32.73843053, 22.91681469,\n",
       "        24.00565065, 49.98344653, 43.96515866, 22.2471524 , 21.53248586,\n",
       "        47.44070352, 21.05604627, 52.51812249, 47.66217354, 21.41664879,\n",
       "        21.56318399, 59.4388623 , 33.71937342, 33.56697018, 52.13758182,\n",
       "        57.78444025, 59.41204468, 49.64188378, 33.80290259, 21.5070301 ,\n",
       "        50.64017047, 41.45297849, 35.81732439, 56.06688417, 22.67029426,\n",
       "        38.69025438, 18.47685308, 37.68374696, 20.36473758, 22.99035248,\n",
       "        22.93610236, 45.26683269, 49.33388493, 42.50148813, 58.41124704,\n",
       "        33.74456434, 29.99990762, 54.48116338, 27.39102522, 58.45534666,\n",
       "        18.51048794, 58.73491072, 19.8127163 , 55.42801078, 40.16344658,\n",
       "        59.70452144, 21.09945572, 41.26187994, 58.7107065 , 39.97010946,\n",
       "        44.4347428 , 47.22144494, 37.09072472, 44.35743936, 42.5412011 ,\n",
       "        55.84863644, 19.90874797, 29.80045396, 57.91728233, 55.39107892,\n",
       "        37.13758362, 44.04556911, 29.65000969, 25.90108871, 37.47533301,\n",
       "        32.84079358, 42.5135567 , 21.26485475, 58.92458192, 59.42085127]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.49 -106.9 ... -65.03 -116.0</div><input id='attrs-b7d1a09e-1dfe-465a-8d22-7624d3da6f21' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b7d1a09e-1dfe-465a-8d22-7624d3da6f21' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37d6bcc9-61a2-4bb1-b2d8-8fa97d0c4a0c' class='xr-var-data-in' type='checkbox'><label for='data-37d6bcc9-61a2-4bb1-b2d8-8fa97d0c4a0c' 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'><dt><span>longname :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degE</dd></dl></div><div class='xr-var-data'><pre>array([[ -90.48566688, -106.854267  , -129.73771076,  -78.80670301,\n",
       "         -91.84215157, -144.57568913,  -68.99635437,  -77.92373846,\n",
       "         -65.07020876,  -87.70232965,  -99.04506521, -118.75745333,\n",
       "         -66.79442318,  -73.52754716, -156.43291432, -158.33693558,\n",
       "        -122.97719995,  -79.13411359,  -61.28511094, -145.807894  ,\n",
       "        -100.99279775, -122.53002348,  -63.03864582,  -75.94598876,\n",
       "         -76.32880082, -113.66199086, -119.10323026, -133.38588573,\n",
       "        -155.30607484,  -73.66304   ,  -78.89699808,  -60.028515  ,\n",
       "         -60.33967946, -104.90139773,  -83.33227107,  -65.57866128,\n",
       "         -75.18561354, -136.01784172, -115.49504233, -147.95489907,\n",
       "         -64.64084625,  -99.77636192, -137.90707664,  -93.15823088,\n",
       "         -98.56904771, -124.82556548, -149.53068319,  -93.17110725,\n",
       "        -108.44892221,  -82.99584243, -108.46348639,  -74.92966847,\n",
       "        -105.25740928, -104.34526487,  -72.45798613, -120.24823051,\n",
       "        -147.46446193, -158.09294969,  -84.73113718,  -98.34873531,\n",
       "         -89.88794342, -139.49061969, -147.22648097, -159.53098877,\n",
       "        -125.59065656, -101.41831363, -121.38335144, -116.81503288,\n",
       "         -69.67997186, -125.82619783, -109.08706159,  -81.85104571,\n",
       "        -120.94917899,  -98.16924328,  -73.90126542,  -65.09841701,\n",
       "        -146.14557843,  -67.41464986, -111.2962544 , -134.91731678,\n",
       "...\n",
       "         -73.28473443, -111.76944898,  -70.65022508,  -80.21461915,\n",
       "        -118.05343605, -158.73059986, -133.8635867 , -106.29494432,\n",
       "         -97.0186998 , -134.95334377, -146.92503652,  -76.67204608,\n",
       "         -61.57537975, -107.90529159, -143.66039213, -133.49696002,\n",
       "        -159.14254167,  -68.65582054, -149.10714063, -102.77183597,\n",
       "        -133.32042271, -105.02802175,  -95.20654078,  -77.19607783,\n",
       "        -140.15145155, -159.88942131, -147.17455136,  -70.09811717,\n",
       "         -72.73710217, -100.66127668, -100.3477971 ,  -93.83129587,\n",
       "        -143.28750086,  -68.64439346, -118.70417699, -122.30300865,\n",
       "        -108.58931177, -156.25643736, -144.20537976,  -86.45860474,\n",
       "        -152.63733454, -100.08163694, -136.21973992, -121.68114298,\n",
       "        -131.84193259, -125.07705564,  -88.37636358, -130.99070672,\n",
       "        -103.79313133, -112.91890938,  -93.9692123 ,  -66.38019633,\n",
       "         -87.01021818, -139.29102176, -157.85050336, -134.51133153,\n",
       "        -100.897129  , -155.80599284, -110.86700903, -100.71887226,\n",
       "        -127.24136703,  -83.13786742, -150.23357643, -153.41108404,\n",
       "         -87.45293562, -110.95537706,  -91.47135796, -117.0824388 ,\n",
       "        -136.11339464,  -78.27066591,  -80.25899622,  -90.83565644,\n",
       "        -133.51334114, -101.38670265, -124.54163641, -151.75021059,\n",
       "         -68.35132888, -147.18131828,  -65.02602726, -115.95341693]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>siteid</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>&lt;U3</div><div class='xr-var-preview xr-preview'>&#x27;000&#x27; &#x27;001&#x27; &#x27;002&#x27; ... &#x27;498&#x27; &#x27;499&#x27;</div><input id='attrs-2fc7ab89-7de0-47f3-aac5-af31ed246d6c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2fc7ab89-7de0-47f3-aac5-af31ed246d6c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ffc4afa-28fb-40fd-9ae9-60e00754a05b' class='xr-var-data-in' type='checkbox'><label for='data-0ffc4afa-28fb-40fd-9ae9-60e00754a05b' 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;000&#x27;, &#x27;001&#x27;, &#x27;002&#x27;, &#x27;003&#x27;, &#x27;004&#x27;, &#x27;005&#x27;, &#x27;006&#x27;, &#x27;007&#x27;, &#x27;008&#x27;,\n",
       "        &#x27;009&#x27;, &#x27;010&#x27;, &#x27;011&#x27;, &#x27;012&#x27;, &#x27;013&#x27;, &#x27;014&#x27;, &#x27;015&#x27;, &#x27;016&#x27;, &#x27;017&#x27;,\n",
       "        &#x27;018&#x27;, &#x27;019&#x27;, &#x27;020&#x27;, &#x27;021&#x27;, &#x27;022&#x27;, &#x27;023&#x27;, &#x27;024&#x27;, &#x27;025&#x27;, &#x27;026&#x27;,\n",
       "        &#x27;027&#x27;, &#x27;028&#x27;, &#x27;029&#x27;, &#x27;030&#x27;, &#x27;031&#x27;, &#x27;032&#x27;, &#x27;033&#x27;, &#x27;034&#x27;, &#x27;035&#x27;,\n",
       "        &#x27;036&#x27;, &#x27;037&#x27;, &#x27;038&#x27;, &#x27;039&#x27;, &#x27;040&#x27;, &#x27;041&#x27;, &#x27;042&#x27;, &#x27;043&#x27;, &#x27;044&#x27;,\n",
       "        &#x27;045&#x27;, &#x27;046&#x27;, &#x27;047&#x27;, &#x27;048&#x27;, &#x27;049&#x27;, &#x27;050&#x27;, &#x27;051&#x27;, &#x27;052&#x27;, &#x27;053&#x27;,\n",
       "        &#x27;054&#x27;, &#x27;055&#x27;, &#x27;056&#x27;, &#x27;057&#x27;, &#x27;058&#x27;, &#x27;059&#x27;, &#x27;060&#x27;, &#x27;061&#x27;, &#x27;062&#x27;,\n",
       "        &#x27;063&#x27;, &#x27;064&#x27;, &#x27;065&#x27;, &#x27;066&#x27;, &#x27;067&#x27;, &#x27;068&#x27;, &#x27;069&#x27;, &#x27;070&#x27;, &#x27;071&#x27;,\n",
       "        &#x27;072&#x27;, &#x27;073&#x27;, &#x27;074&#x27;, &#x27;075&#x27;, &#x27;076&#x27;, &#x27;077&#x27;, &#x27;078&#x27;, &#x27;079&#x27;, &#x27;080&#x27;,\n",
       "        &#x27;081&#x27;, &#x27;082&#x27;, &#x27;083&#x27;, &#x27;084&#x27;, &#x27;085&#x27;, &#x27;086&#x27;, &#x27;087&#x27;, &#x27;088&#x27;, &#x27;089&#x27;,\n",
       "        &#x27;090&#x27;, &#x27;091&#x27;, &#x27;092&#x27;, &#x27;093&#x27;, &#x27;094&#x27;, &#x27;095&#x27;, &#x27;096&#x27;, &#x27;097&#x27;, &#x27;098&#x27;,\n",
       "        &#x27;099&#x27;, &#x27;100&#x27;, &#x27;101&#x27;, &#x27;102&#x27;, &#x27;103&#x27;, &#x27;104&#x27;, &#x27;105&#x27;, &#x27;106&#x27;, &#x27;107&#x27;,\n",
       "        &#x27;108&#x27;, &#x27;109&#x27;, &#x27;110&#x27;, &#x27;111&#x27;, &#x27;112&#x27;, &#x27;113&#x27;, &#x27;114&#x27;, &#x27;115&#x27;, &#x27;116&#x27;,\n",
       "        &#x27;117&#x27;, &#x27;118&#x27;, &#x27;119&#x27;, &#x27;120&#x27;, &#x27;121&#x27;, &#x27;122&#x27;, &#x27;123&#x27;, &#x27;124&#x27;, &#x27;125&#x27;,\n",
       "        &#x27;126&#x27;, &#x27;127&#x27;, &#x27;128&#x27;, &#x27;129&#x27;, &#x27;130&#x27;, &#x27;131&#x27;, &#x27;132&#x27;, &#x27;133&#x27;, &#x27;134&#x27;,\n",
       "        &#x27;135&#x27;, &#x27;136&#x27;, &#x27;137&#x27;, &#x27;138&#x27;, &#x27;139&#x27;, &#x27;140&#x27;, &#x27;141&#x27;, &#x27;142&#x27;, &#x27;143&#x27;,\n",
       "        &#x27;144&#x27;, &#x27;145&#x27;, &#x27;146&#x27;, &#x27;147&#x27;, &#x27;148&#x27;, &#x27;149&#x27;, &#x27;150&#x27;, &#x27;151&#x27;, &#x27;152&#x27;,\n",
       "        &#x27;153&#x27;, &#x27;154&#x27;, &#x27;155&#x27;, &#x27;156&#x27;, &#x27;157&#x27;, &#x27;158&#x27;, &#x27;159&#x27;, &#x27;160&#x27;, &#x27;161&#x27;,\n",
       "        &#x27;162&#x27;, &#x27;163&#x27;, &#x27;164&#x27;, &#x27;165&#x27;, &#x27;166&#x27;, &#x27;167&#x27;, &#x27;168&#x27;, &#x27;169&#x27;, &#x27;170&#x27;,\n",
       "        &#x27;171&#x27;, &#x27;172&#x27;, &#x27;173&#x27;, &#x27;174&#x27;, &#x27;175&#x27;, &#x27;176&#x27;, &#x27;177&#x27;, &#x27;178&#x27;, &#x27;179&#x27;,\n",
       "...\n",
       "        &#x27;324&#x27;, &#x27;325&#x27;, &#x27;326&#x27;, &#x27;327&#x27;, &#x27;328&#x27;, &#x27;329&#x27;, &#x27;330&#x27;, &#x27;331&#x27;, &#x27;332&#x27;,\n",
       "        &#x27;333&#x27;, &#x27;334&#x27;, &#x27;335&#x27;, &#x27;336&#x27;, &#x27;337&#x27;, &#x27;338&#x27;, &#x27;339&#x27;, &#x27;340&#x27;, &#x27;341&#x27;,\n",
       "        &#x27;342&#x27;, &#x27;343&#x27;, &#x27;344&#x27;, &#x27;345&#x27;, &#x27;346&#x27;, &#x27;347&#x27;, &#x27;348&#x27;, &#x27;349&#x27;, &#x27;350&#x27;,\n",
       "        &#x27;351&#x27;, &#x27;352&#x27;, &#x27;353&#x27;, &#x27;354&#x27;, &#x27;355&#x27;, &#x27;356&#x27;, &#x27;357&#x27;, &#x27;358&#x27;, &#x27;359&#x27;,\n",
       "        &#x27;360&#x27;, &#x27;361&#x27;, &#x27;362&#x27;, &#x27;363&#x27;, &#x27;364&#x27;, &#x27;365&#x27;, &#x27;366&#x27;, &#x27;367&#x27;, &#x27;368&#x27;,\n",
       "        &#x27;369&#x27;, &#x27;370&#x27;, &#x27;371&#x27;, &#x27;372&#x27;, &#x27;373&#x27;, &#x27;374&#x27;, &#x27;375&#x27;, &#x27;376&#x27;, &#x27;377&#x27;,\n",
       "        &#x27;378&#x27;, &#x27;379&#x27;, &#x27;380&#x27;, &#x27;381&#x27;, &#x27;382&#x27;, &#x27;383&#x27;, &#x27;384&#x27;, &#x27;385&#x27;, &#x27;386&#x27;,\n",
       "        &#x27;387&#x27;, &#x27;388&#x27;, &#x27;389&#x27;, &#x27;390&#x27;, &#x27;391&#x27;, &#x27;392&#x27;, &#x27;393&#x27;, &#x27;394&#x27;, &#x27;395&#x27;,\n",
       "        &#x27;396&#x27;, &#x27;397&#x27;, &#x27;398&#x27;, &#x27;399&#x27;, &#x27;400&#x27;, &#x27;401&#x27;, &#x27;402&#x27;, &#x27;403&#x27;, &#x27;404&#x27;,\n",
       "        &#x27;405&#x27;, &#x27;406&#x27;, &#x27;407&#x27;, &#x27;408&#x27;, &#x27;409&#x27;, &#x27;410&#x27;, &#x27;411&#x27;, &#x27;412&#x27;, &#x27;413&#x27;,\n",
       "        &#x27;414&#x27;, &#x27;415&#x27;, &#x27;416&#x27;, &#x27;417&#x27;, &#x27;418&#x27;, &#x27;419&#x27;, &#x27;420&#x27;, &#x27;421&#x27;, &#x27;422&#x27;,\n",
       "        &#x27;423&#x27;, &#x27;424&#x27;, &#x27;425&#x27;, &#x27;426&#x27;, &#x27;427&#x27;, &#x27;428&#x27;, &#x27;429&#x27;, &#x27;430&#x27;, &#x27;431&#x27;,\n",
       "        &#x27;432&#x27;, &#x27;433&#x27;, &#x27;434&#x27;, &#x27;435&#x27;, &#x27;436&#x27;, &#x27;437&#x27;, &#x27;438&#x27;, &#x27;439&#x27;, &#x27;440&#x27;,\n",
       "        &#x27;441&#x27;, &#x27;442&#x27;, &#x27;443&#x27;, &#x27;444&#x27;, &#x27;445&#x27;, &#x27;446&#x27;, &#x27;447&#x27;, &#x27;448&#x27;, &#x27;449&#x27;,\n",
       "        &#x27;450&#x27;, &#x27;451&#x27;, &#x27;452&#x27;, &#x27;453&#x27;, &#x27;454&#x27;, &#x27;455&#x27;, &#x27;456&#x27;, &#x27;457&#x27;, &#x27;458&#x27;,\n",
       "        &#x27;459&#x27;, &#x27;460&#x27;, &#x27;461&#x27;, &#x27;462&#x27;, &#x27;463&#x27;, &#x27;464&#x27;, &#x27;465&#x27;, &#x27;466&#x27;, &#x27;467&#x27;,\n",
       "        &#x27;468&#x27;, &#x27;469&#x27;, &#x27;470&#x27;, &#x27;471&#x27;, &#x27;472&#x27;, &#x27;473&#x27;, &#x27;474&#x27;, &#x27;475&#x27;, &#x27;476&#x27;,\n",
       "        &#x27;477&#x27;, &#x27;478&#x27;, &#x27;479&#x27;, &#x27;480&#x27;, &#x27;481&#x27;, &#x27;482&#x27;, &#x27;483&#x27;, &#x27;484&#x27;, &#x27;485&#x27;,\n",
       "        &#x27;486&#x27;, &#x27;487&#x27;, &#x27;488&#x27;, &#x27;489&#x27;, &#x27;490&#x27;, &#x27;491&#x27;, &#x27;492&#x27;, &#x27;493&#x27;, &#x27;494&#x27;,\n",
       "        &#x27;495&#x27;, &#x27;496&#x27;, &#x27;497&#x27;, &#x27;498&#x27;, &#x27;499&#x27;]], dtype=&#x27;&lt;U3&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>something_vlen</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>&lt;U7</div><div class='xr-var-preview xr-preview'>&#x27;xicjs&#x27; &#x27;cvoaglq&#x27; ... &#x27;poqhzl&#x27;</div><input id='attrs-47e8b0d3-8274-4542-b64c-194265fb0e5c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-47e8b0d3-8274-4542-b64c-194265fb0e5c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b2119bd-465c-4752-9ac2-73eb801654ea' class='xr-var-data-in' type='checkbox'><label for='data-3b2119bd-465c-4752-9ac2-73eb801654ea' 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;xicjs&#x27;, &#x27;cvoaglq&#x27;, &#x27;uzxt&#x27;, &#x27;edltxr&#x27;, &#x27;qs&#x27;, &#x27;idzubd&#x27;, &#x27;bobdfgj&#x27;,\n",
       "        &#x27;sszvlcm&#x27;, &#x27;rh&#x27;, &#x27;uoa&#x27;, &#x27;cz&#x27;, &#x27;hdpwj&#x27;, &#x27;lnnb&#x27;, &#x27;wee&#x27;, &#x27;fm&#x27;,\n",
       "        &#x27;ivonxg&#x27;, &#x27;ytb&#x27;, &#x27;gfq&#x27;, &#x27;yy&#x27;, &#x27;bce&#x27;, &#x27;eahlxd&#x27;, &#x27;mwokjcv&#x27;, &#x27;npj&#x27;,\n",
       "        &#x27;jliaeth&#x27;, &#x27;klayvt&#x27;, &#x27;yk&#x27;, &#x27;eoel&#x27;, &#x27;eqq&#x27;, &#x27;xlxo&#x27;, &#x27;ofltrn&#x27;,\n",
       "        &#x27;bie&#x27;, &#x27;tzawcfe&#x27;, &#x27;ueaqs&#x27;, &#x27;nljt&#x27;, &#x27;urx&#x27;, &#x27;kbyr&#x27;, &#x27;ygx&#x27;, &#x27;ok&#x27;,\n",
       "        &#x27;rwlftwm&#x27;, &#x27;tprj&#x27;, &#x27;whrua&#x27;, &#x27;whfeo&#x27;, &#x27;vobaww&#x27;, &#x27;zkj&#x27;, &#x27;rrqz&#x27;,\n",
       "        &#x27;hohqlh&#x27;, &#x27;ynda&#x27;, &#x27;asp&#x27;, &#x27;nupei&#x27;, &#x27;zb&#x27;, &#x27;rfiai&#x27;, &#x27;ypmium&#x27;,\n",
       "        &#x27;ikdbfnd&#x27;, &#x27;fs&#x27;, &#x27;fbrmiw&#x27;, &#x27;smk&#x27;, &#x27;ax&#x27;, &#x27;vgyuoa&#x27;, &#x27;lzg&#x27;, &#x27;ousya&#x27;,\n",
       "        &#x27;qqclfzk&#x27;, &#x27;chn&#x27;, &#x27;njbn&#x27;, &#x27;icu&#x27;, &#x27;zhp&#x27;, &#x27;bfuzyle&#x27;, &#x27;bpeo&#x27;,\n",
       "        &#x27;ldokpw&#x27;, &#x27;fnrlkm&#x27;, &#x27;uwk&#x27;, &#x27;wpou&#x27;, &#x27;oydk&#x27;, &#x27;sodumvs&#x27;, &#x27;bndpu&#x27;,\n",
       "        &#x27;tnochp&#x27;, &#x27;jdrbqmd&#x27;, &#x27;zy&#x27;, &#x27;kgljgm&#x27;, &#x27;gxqjjxd&#x27;, &#x27;tdvgva&#x27;,\n",
       "        &#x27;lxmjo&#x27;, &#x27;mw&#x27;, &#x27;vvuvi&#x27;, &#x27;zi&#x27;, &#x27;ojx&#x27;, &#x27;zyjhxpq&#x27;, &#x27;ze&#x27;, &#x27;drxsd&#x27;,\n",
       "        &#x27;gjyrsd&#x27;, &#x27;ja&#x27;, &#x27;wreoqcl&#x27;, &#x27;ba&#x27;, &#x27;wuqv&#x27;, &#x27;peocgk&#x27;, &#x27;jinmyyb&#x27;,\n",
       "        &#x27;cgurcjv&#x27;, &#x27;giq&#x27;, &#x27;kgxns&#x27;, &#x27;dzf&#x27;, &#x27;jgmndhe&#x27;, &#x27;adciha&#x27;, &#x27;fi&#x27;,\n",
       "        &#x27;gd&#x27;, &#x27;mqbelu&#x27;, &#x27;hfhrcvl&#x27;, &#x27;zc&#x27;, &#x27;vf&#x27;, &#x27;bw&#x27;, &#x27;lbfqc&#x27;, &#x27;bwthv&#x27;,\n",
       "        &#x27;lzde&#x27;, &#x27;moy&#x27;, &#x27;wpjywp&#x27;, &#x27;lqplht&#x27;, &#x27;cpmwsh&#x27;, &#x27;veth&#x27;, &#x27;xlayu&#x27;,\n",
       "        &#x27;tfvrhga&#x27;, &#x27;uplftbn&#x27;, &#x27;dawr&#x27;, &#x27;mbiubyi&#x27;, &#x27;akctwz&#x27;, &#x27;drw&#x27;, &#x27;fc&#x27;,\n",
       "        &#x27;vkove&#x27;, &#x27;tjloq&#x27;, &#x27;jfrm&#x27;, &#x27;cxjnf&#x27;, &#x27;cpgtni&#x27;, &#x27;oucbbcr&#x27;, &#x27;ntrjyb&#x27;,\n",
       "        &#x27;yvad&#x27;, &#x27;nanpvn&#x27;, &#x27;tccifym&#x27;, &#x27;ubh&#x27;, &#x27;ubdy&#x27;, &#x27;odm&#x27;, &#x27;lm&#x27;, &#x27;ntr&#x27;,\n",
       "        &#x27;fk&#x27;, &#x27;bw&#x27;, &#x27;sse&#x27;, &#x27;sbjy&#x27;, &#x27;bkrxoiw&#x27;, &#x27;sicuin&#x27;, &#x27;sgppad&#x27;,\n",
       "...\n",
       "        &#x27;wi&#x27;, &#x27;gm&#x27;, &#x27;knskmn&#x27;, &#x27;mahlsl&#x27;, &#x27;hhum&#x27;, &#x27;lpamzgz&#x27;, &#x27;ehy&#x27;,\n",
       "        &#x27;nwmow&#x27;, &#x27;qotr&#x27;, &#x27;rbdadr&#x27;, &#x27;esoht&#x27;, &#x27;qalzso&#x27;, &#x27;igbij&#x27;, &#x27;bsk&#x27;,\n",
       "        &#x27;mjnr&#x27;, &#x27;sviyg&#x27;, &#x27;ctfubfc&#x27;, &#x27;ph&#x27;, &#x27;bqilcka&#x27;, &#x27;wmozeuq&#x27;, &#x27;yw&#x27;,\n",
       "        &#x27;xyfuvkr&#x27;, &#x27;dcmwi&#x27;, &#x27;ufzlb&#x27;, &#x27;ccloi&#x27;, &#x27;wh&#x27;, &#x27;kpzyvda&#x27;, &#x27;xg&#x27;,\n",
       "        &#x27;bxegd&#x27;, &#x27;exaaots&#x27;, &#x27;jrckokq&#x27;, &#x27;qfehbp&#x27;, &#x27;txlfad&#x27;, &#x27;qmr&#x27;, &#x27;exxc&#x27;,\n",
       "        &#x27;kmdznv&#x27;, &#x27;kj&#x27;, &#x27;srfouj&#x27;, &#x27;eze&#x27;, &#x27;jecwfdr&#x27;, &#x27;iqm&#x27;, &#x27;otqmpvd&#x27;,\n",
       "        &#x27;eeiqmbm&#x27;, &#x27;vuws&#x27;, &#x27;cjbmsz&#x27;, &#x27;qu&#x27;, &#x27;nl&#x27;, &#x27;ulkgd&#x27;, &#x27;saxcmob&#x27;,\n",
       "        &#x27;kd&#x27;, &#x27;sqcr&#x27;, &#x27;hvyxzse&#x27;, &#x27;guhe&#x27;, &#x27;qe&#x27;, &#x27;dv&#x27;, &#x27;subkv&#x27;, &#x27;mo&#x27;,\n",
       "        &#x27;lvuvkge&#x27;, &#x27;qxtinzl&#x27;, &#x27;fqsszpl&#x27;, &#x27;ltfwz&#x27;, &#x27;dfkax&#x27;, &#x27;wo&#x27;, &#x27;kys&#x27;,\n",
       "        &#x27;rqs&#x27;, &#x27;unrso&#x27;, &#x27;od&#x27;, &#x27;gmc&#x27;, &#x27;pi&#x27;, &#x27;ht&#x27;, &#x27;mq&#x27;, &#x27;qqahsf&#x27;,\n",
       "        &#x27;cemonwp&#x27;, &#x27;rv&#x27;, &#x27;vkcvjj&#x27;, &#x27;uplbi&#x27;, &#x27;xcx&#x27;, &#x27;yocsrhz&#x27;, &#x27;qhg&#x27;,\n",
       "        &#x27;gcadyea&#x27;, &#x27;oem&#x27;, &#x27;hheiadc&#x27;, &#x27;bhw&#x27;, &#x27;ibn&#x27;, &#x27;ndf&#x27;, &#x27;kch&#x27;, &#x27;cnmmb&#x27;,\n",
       "        &#x27;ms&#x27;, &#x27;fpbh&#x27;, &#x27;qwbjpf&#x27;, &#x27;bbzm&#x27;, &#x27;xobg&#x27;, &#x27;chwnxwv&#x27;, &#x27;gu&#x27;,\n",
       "        &#x27;gaqiumu&#x27;, &#x27;su&#x27;, &#x27;sy&#x27;, &#x27;yvq&#x27;, &#x27;wwjjd&#x27;, &#x27;hvt&#x27;, &#x27;trnrn&#x27;, &#x27;tuxovdm&#x27;,\n",
       "        &#x27;whrlw&#x27;, &#x27;nbrxbki&#x27;, &#x27;lqoy&#x27;, &#x27;qzzr&#x27;, &#x27;vfqwx&#x27;, &#x27;rhife&#x27;, &#x27;lykyaks&#x27;,\n",
       "        &#x27;ibl&#x27;, &#x27;ddrosms&#x27;, &#x27;qfp&#x27;, &#x27;xlse&#x27;, &#x27;qz&#x27;, &#x27;wzayx&#x27;, &#x27;wjo&#x27;, &#x27;wuukmea&#x27;,\n",
       "        &#x27;xlkq&#x27;, &#x27;doy&#x27;, &#x27;iutssle&#x27;, &#x27;jqevp&#x27;, &#x27;gicop&#x27;, &#x27;rnclig&#x27;, &#x27;im&#x27;,\n",
       "        &#x27;remdbp&#x27;, &#x27;iifk&#x27;, &#x27;vxv&#x27;, &#x27;admw&#x27;, &#x27;mmbixhg&#x27;, &#x27;drcfl&#x27;, &#x27;luhvva&#x27;,\n",
       "        &#x27;dukcmy&#x27;, &#x27;qvvjul&#x27;, &#x27;oujn&#x27;, &#x27;mefxb&#x27;, &#x27;vqd&#x27;, &#x27;njcycof&#x27;, &#x27;qlv&#x27;,\n",
       "        &#x27;txky&#x27;, &#x27;dzzfatw&#x27;, &#x27;poqhzl&#x27;]], dtype=&#x27;&lt;U7&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ec58ffc0-f91b-4fd6-a203-caecb4878ded' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ec58ffc0-f91b-4fd6-a203-caecb4878ded' class='xr-section-summary' >Data variables: <span>(2)</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>A_obs</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.21 0.1793 0.1735 ... 0.118 0.6552</div><input id='attrs-64a82124-f0bd-4354-a196-eabad6b836c7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-64a82124-f0bd-4354-a196-eabad6b836c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ed058a7-44f7-4486-93cf-b4bcd8986658' class='xr-var-data-in' type='checkbox'><label for='data-3ed058a7-44f7-4486-93cf-b4bcd8986658' 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'><dt><span>units :</span></dt><dd>Units of A</dd></dl></div><div class='xr-var-data'><pre>array([[[ 0.2099829 ,  0.17932443,  0.17347036, ..., -0.12949567,\n",
       "          0.08897279,  0.14119392]],\n",
       "\n",
       "       [[ 0.17102405,  0.12774713,  0.99824079, ..., -0.06171873,\n",
       "         -0.02654822,  0.02262378]],\n",
       "\n",
       "       [[-0.17473203,  0.579746  ,  0.60981294, ..., -0.06527422,\n",
       "          0.18617832, -0.07258142]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[ 1.05766824,  0.67393084,  0.16254305, ...,  0.40402354,\n",
       "          0.15613566,  0.71384242]],\n",
       "\n",
       "       [[ 1.00803703,  0.67053081,  0.38867713, ..., -0.12198812,\n",
       "          0.58402152,  0.32845322]],\n",
       "\n",
       "       [[ 1.52438056,  0.61830325,  0.36847432, ...,  0.46203647,\n",
       "          0.11798536,  0.65523887]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_obs</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.1099 -0.2269 ... 0.1155 0.6365</div><input id='attrs-b6eac680-7a29-4b68-93e1-43e410145a2b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b6eac680-7a29-4b68-93e1-43e410145a2b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-daeca0dd-83af-4c31-a09e-c2261ad5e5b4' class='xr-var-data-in' type='checkbox'><label for='data-daeca0dd-83af-4c31-a09e-c2261ad5e5b4' 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'><dt><span>units :</span></dt><dd>Units of B</dd></dl></div><div class='xr-var-data'><pre>array([[[-0.10989016, -0.22694519,  0.05157348, ...,  0.40731178,\n",
       "         -0.02230347, -0.05312695]],\n",
       "\n",
       "       [[ 0.28953523,  0.06414867,  0.37113096, ...,  0.18021661,\n",
       "          0.32210091, -0.22212487]],\n",
       "\n",
       "       [[ 0.63422636,  0.34256539,  1.15302726, ...,  0.20891579,\n",
       "         -0.07465604,  0.29321073]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[ 0.85043225,  0.33023562,  0.61674924, ..., -0.05094311,\n",
       "          0.4755864 ,  0.14349633]],\n",
       "\n",
       "       [[ 0.70597131,  0.49890699,  0.30775787, ...,  0.85768501,\n",
       "          0.85791648,  0.5244066 ]],\n",
       "\n",
       "       [[ 0.86426596,  0.1492836 ,  0.70229604, ...,  0.6228601 ,\n",
       "          0.11553596,  0.63650216]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c3a71a77-81af-4884-a589-7b702cbc16e0' class='xr-section-summary-in' type='checkbox'  ><label for='section-c3a71a77-81af-4884-a589-7b702cbc16e0' class='xr-section-summary' >Indexes: <span>(2)</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-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2cbe1163-fce7-4c5e-8bc1-6049f133d022' class='xr-index-data-in' type='checkbox'/><label for='index-2cbe1163-fce7-4c5e-8bc1-6049f133d022' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Int64Index([  0,   1,   2,   3,   4,   5,   6,   7,   8,   9,\n",
       "            ...\n",
       "            490, 491, 492, 493, 494, 495, 496, 497, 498, 499],\n",
       "           dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;, length=500))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e30c9add-e2b0-4fd1-8312-90e6c9883121' class='xr-index-data-in' type='checkbox'/><label for='index-e30c9add-e2b0-4fd1-8312-90e6c9883121' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2019-09-09 00:00:00&#x27;, &#x27;2019-09-09 03:00:00&#x27;,\n",
       "               &#x27;2019-09-09 06:00:00&#x27;, &#x27;2019-09-09 09:00:00&#x27;,\n",
       "               &#x27;2019-09-09 12:00:00&#x27;, &#x27;2019-09-09 15:00:00&#x27;,\n",
       "               &#x27;2019-09-09 18:00:00&#x27;, &#x27;2019-09-09 21:00:00&#x27;,\n",
       "               &#x27;2019-09-10 00:00:00&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=&#x27;3H&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a97fca38-3c5d-49b1-9015-b1625f350761' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a97fca38-3c5d-49b1-9015-b1625f350761' 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:         (x: 500, time: 9, y: 1)\n",
       "Coordinates:\n",
       "  * x               (x) int32 0 1 2 3 4 5 6 7 ... 493 494 495 496 497 498 499\n",
       "  * time            (time) datetime64[ns] 2019-09-09 ... 2019-09-10\n",
       "    latitude        (y, x) float64 33.73 57.93 48.74 43.14 ... 21.26 58.92 59.42\n",
       "    longitude       (y, x) float64 -90.49 -106.9 -129.7 ... -147.2 -65.03 -116.0\n",
       "    siteid          (y, x) <U3 '000' '001' '002' '003' ... '497' '498' '499'\n",
       "    something_vlen  (y, x) <U7 'xicjs' 'cvoaglq' 'uzxt' ... 'dzzfatw' 'poqhzl'\n",
       "Dimensions without coordinates: y\n",
       "Data variables:\n",
       "    A_obs           (time, y, x) float64 0.21 0.1793 0.1735 ... 0.118 0.6552\n",
       "    B_obs           (time, y, x) float64 -0.1099 -0.2269 ... 0.1155 0.6365"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from string import ascii_lowercase\n",
    "\n",
    "# Generate positions\n",
    "# TODO: only within land boundaries would be cleaner\n",
    "n = 500\n",
    "lats = rs.uniform(lat[0], lat[-1], n)\n",
    "lons = rs.uniform(lon[0], lon[-1], n)\n",
    "siteid = np.array([f\"{x:0{len(str(n))}}\" for x in range(n)])[np.newaxis, :]\n",
    "something_vlen = np.array(\n",
    "    [\n",
    "        \"\".join(rs.choice(list(ascii_lowercase), size=x, replace=True))\n",
    "        for x in rs.randint(low=2, high=8, size=n)\n",
    "    ],\n",
    "    dtype=str,\n",
    ")[np.newaxis, :]\n",
    "\n",
    "# Generate dataset\n",
    "field_names = control['model']['test_model']['variables'].keys()\n",
    "ds_dict = dict()\n",
    "for field_name0 in field_names:\n",
    "    field_name = control['model']['test_model']['mapping']['test_obs'][field_name0]\n",
    "    units = control['model']['test_model']['variables'][field_name0]['units']\n",
    "    values = (\n",
    "        ds_mod.A.squeeze().interp(lat=xr.DataArray(lats), lon=xr.DataArray(lons)).values\n",
    "        + rs.normal(scale=0.3, size=(ntime, n))\n",
    "    )[:, np.newaxis]\n",
    "    da = xr.DataArray(\n",
    "        values,\n",
    "        coords={\n",
    "            \"x\": (\"x\", np.arange(n)),  # !!!\n",
    "            \"time\": (\"time\", time),\n",
    "            \"latitude\": ((\"y\", \"x\"), lats[np.newaxis, :], lat_da.attrs),\n",
    "            \"longitude\": ((\"y\", \"x\"), lons[np.newaxis, :], lon_da.attrs),\n",
    "            \"siteid\": ((\"y\", \"x\"), siteid),\n",
    "            \"something_vlen\": ((\"y\", \"x\"), something_vlen),\n",
    "        },\n",
    "        dims=(\"time\", \"y\", \"x\"),\n",
    "        attrs={'units': units},\n",
    "    )\n",
    "    ds_dict[field_name] = da\n",
    "ds = xr.Dataset(ds_dict)\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "5ce817dd-c555-45ee-ae21-89af66abebd3",
   "metadata": {},
   "outputs": [],
   "source": [
    "ds.to_netcdf(control['obs']['test_obs']['filename'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cb8e55c3-063a-401b-8b26-a76b68cae527",
   "metadata": {},
   "source": [
    "## Load"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "2c09dc6e-82ab-43fa-82f8-2715f4aa448e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "test_model.nc\n",
      "**** Reading Unspecified model output. Take Caution...\n"
     ]
    }
   ],
   "source": [
    "an.open_models()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "0f63480d-2cee-404e-b1d5-655b00d3832a",
   "metadata": {
    "tags": [
     "hide-output"
    ]
   },
   "outputs": [
    {
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       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (time: 9, lat: 100, lon: 200, z: 1)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 2019-09-09 2019-09-09T03:00:00 ... 2019-09-10\n",
       "  * lat      (lat) float64 18.0 18.42 18.85 19.27 ... 58.73 59.15 59.58 60.0\n",
       "  * lon      (lon) float64 -161.0 -160.5 -160.0 -159.5 ... -61.02 -60.51 -60.0\n",
       "  * z        (z) int32 1\n",
       "Data variables:\n",
       "    A        (time, z, lat, lon) float64 0.000964 0.001019 ... 0.5379 0.5353\n",
       "    B        (time, z, lat, lon) float64 0.000964 0.001019 ... 0.5379 0.5353</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-24629dc0-cd6c-4cb5-b865-a7d8b3f3df44' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-24629dc0-cd6c-4cb5-b865-a7d8b3f3df44' 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>: 9</li><li><span class='xr-has-index'>lat</span>: 100</li><li><span class='xr-has-index'>lon</span>: 200</li><li><span class='xr-has-index'>z</span>: 1</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-756dad01-3b70-47c4-b9cd-d38f72c266d3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-756dad01-3b70-47c4-b9cd-d38f72c266d3' class='xr-section-summary' >Coordinates: <span>(4)</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'>2019-09-09 ... 2019-09-10</div><input id='attrs-297f4a98-1d6b-4457-b50a-8bb2c6436412' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-297f4a98-1d6b-4457-b50a-8bb2c6436412' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e064f262-c5f1-447b-9bc5-053fe8c378be' class='xr-var-data-in' type='checkbox'><label for='data-e064f262-c5f1-447b-9bc5-053fe8c378be' 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;2019-09-09T00:00:00.000000000&#x27;, &#x27;2019-09-09T03:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-09T06:00:00.000000000&#x27;, &#x27;2019-09-09T09:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-09T12:00:00.000000000&#x27;, &#x27;2019-09-09T15:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-09T18:00:00.000000000&#x27;, &#x27;2019-09-09T21:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-10T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>18.0 18.42 18.85 ... 59.58 60.0</div><input id='attrs-1fae9876-ca87-45f0-960f-dda56987aa87' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1fae9876-ca87-45f0-960f-dda56987aa87' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ca733ab-2789-4e66-a355-392375dda5a2' class='xr-var-data-in' type='checkbox'><label for='data-1ca733ab-2789-4e66-a355-392375dda5a2' 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'><dt><span>longname :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degN</dd></dl></div><div class='xr-var-data'><pre>array([18.      , 18.424242, 18.848485, 19.272727, 19.69697 , 20.121212,\n",
       "       20.545455, 20.969697, 21.393939, 21.818182, 22.242424, 22.666667,\n",
       "       23.090909, 23.515152, 23.939394, 24.363636, 24.787879, 25.212121,\n",
       "       25.636364, 26.060606, 26.484848, 26.909091, 27.333333, 27.757576,\n",
       "       28.181818, 28.606061, 29.030303, 29.454545, 29.878788, 30.30303 ,\n",
       "       30.727273, 31.151515, 31.575758, 32.      , 32.424242, 32.848485,\n",
       "       33.272727, 33.69697 , 34.121212, 34.545455, 34.969697, 35.393939,\n",
       "       35.818182, 36.242424, 36.666667, 37.090909, 37.515152, 37.939394,\n",
       "       38.363636, 38.787879, 39.212121, 39.636364, 40.060606, 40.484848,\n",
       "       40.909091, 41.333333, 41.757576, 42.181818, 42.606061, 43.030303,\n",
       "       43.454545, 43.878788, 44.30303 , 44.727273, 45.151515, 45.575758,\n",
       "       46.      , 46.424242, 46.848485, 47.272727, 47.69697 , 48.121212,\n",
       "       48.545455, 48.969697, 49.393939, 49.818182, 50.242424, 50.666667,\n",
       "       51.090909, 51.515152, 51.939394, 52.363636, 52.787879, 53.212121,\n",
       "       53.636364, 54.060606, 54.484848, 54.909091, 55.333333, 55.757576,\n",
       "       56.181818, 56.606061, 57.030303, 57.454545, 57.878788, 58.30303 ,\n",
       "       58.727273, 59.151515, 59.575758, 60.      ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-161.0 -160.5 ... -60.51 -60.0</div><input id='attrs-559d64a1-7aaa-4d64-8c83-92e0a7adfbf0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-559d64a1-7aaa-4d64-8c83-92e0a7adfbf0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3e83178-a67e-4a21-ba6e-f3c9da134168' class='xr-var-data-in' type='checkbox'><label for='data-d3e83178-a67e-4a21-ba6e-f3c9da134168' 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'><dt><span>longname :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degE</dd></dl></div><div class='xr-var-data'><pre>array([-161.      , -160.492462, -159.984925, -159.477387, -158.969849,\n",
       "       -158.462312, -157.954774, -157.447236, -156.939698, -156.432161,\n",
       "       -155.924623, -155.417085, -154.909548, -154.40201 , -153.894472,\n",
       "       -153.386935, -152.879397, -152.371859, -151.864322, -151.356784,\n",
       "       -150.849246, -150.341709, -149.834171, -149.326633, -148.819095,\n",
       "       -148.311558, -147.80402 , -147.296482, -146.788945, -146.281407,\n",
       "       -145.773869, -145.266332, -144.758794, -144.251256, -143.743719,\n",
       "       -143.236181, -142.728643, -142.221106, -141.713568, -141.20603 ,\n",
       "       -140.698492, -140.190955, -139.683417, -139.175879, -138.668342,\n",
       "       -138.160804, -137.653266, -137.145729, -136.638191, -136.130653,\n",
       "       -135.623116, -135.115578, -134.60804 , -134.100503, -133.592965,\n",
       "       -133.085427, -132.577889, -132.070352, -131.562814, -131.055276,\n",
       "       -130.547739, -130.040201, -129.532663, -129.025126, -128.517588,\n",
       "       -128.01005 , -127.502513, -126.994975, -126.487437, -125.979899,\n",
       "       -125.472362, -124.964824, -124.457286, -123.949749, -123.442211,\n",
       "       -122.934673, -122.427136, -121.919598, -121.41206 , -120.904523,\n",
       "       -120.396985, -119.889447, -119.38191 , -118.874372, -118.366834,\n",
       "       -117.859296, -117.351759, -116.844221, -116.336683, -115.829146,\n",
       "       -115.321608, -114.81407 , -114.306533, -113.798995, -113.291457,\n",
       "       -112.78392 , -112.276382, -111.768844, -111.261307, -110.753769,\n",
       "       -110.246231, -109.738693, -109.231156, -108.723618, -108.21608 ,\n",
       "       -107.708543, -107.201005, -106.693467, -106.18593 , -105.678392,\n",
       "       -105.170854, -104.663317, -104.155779, -103.648241, -103.140704,\n",
       "       -102.633166, -102.125628, -101.61809 , -101.110553, -100.603015,\n",
       "       -100.095477,  -99.58794 ,  -99.080402,  -98.572864,  -98.065327,\n",
       "        -97.557789,  -97.050251,  -96.542714,  -96.035176,  -95.527638,\n",
       "        -95.020101,  -94.512563,  -94.005025,  -93.497487,  -92.98995 ,\n",
       "        -92.482412,  -91.974874,  -91.467337,  -90.959799,  -90.452261,\n",
       "        -89.944724,  -89.437186,  -88.929648,  -88.422111,  -87.914573,\n",
       "        -87.407035,  -86.899497,  -86.39196 ,  -85.884422,  -85.376884,\n",
       "        -84.869347,  -84.361809,  -83.854271,  -83.346734,  -82.839196,\n",
       "        -82.331658,  -81.824121,  -81.316583,  -80.809045,  -80.301508,\n",
       "        -79.79397 ,  -79.286432,  -78.778894,  -78.271357,  -77.763819,\n",
       "        -77.256281,  -76.748744,  -76.241206,  -75.733668,  -75.226131,\n",
       "        -74.718593,  -74.211055,  -73.703518,  -73.19598 ,  -72.688442,\n",
       "        -72.180905,  -71.673367,  -71.165829,  -70.658291,  -70.150754,\n",
       "        -69.643216,  -69.135678,  -68.628141,  -68.120603,  -67.613065,\n",
       "        -67.105528,  -66.59799 ,  -66.090452,  -65.582915,  -65.075377,\n",
       "        -64.567839,  -64.060302,  -63.552764,  -63.045226,  -62.537688,\n",
       "        -62.030151,  -61.522613,  -61.015075,  -60.507538,  -60.      ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>z</span></div><div class='xr-var-dims'>(z)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1</div><input id='attrs-eb0ccffb-9b3e-45ae-bf96-b90967d3a42c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-eb0ccffb-9b3e-45ae-bf96-b90967d3a42c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9535772a-94c1-46f9-9afe-d56770840912' class='xr-var-data-in' type='checkbox'><label for='data-9535772a-94c1-46f9-9afe-d56770840912' 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([1])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f90606de-2e82-488e-bcc7-93e561d1ed4f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f90606de-2e82-488e-bcc7-93e561d1ed4f' class='xr-section-summary' >Data variables: <span>(2)</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>A</span></div><div class='xr-var-dims'>(time, z, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.000964 0.001019 ... 0.5379 0.5353</div><input id='attrs-cf875b1e-e768-4bb0-b61d-64358146eede' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cf875b1e-e768-4bb0-b61d-64358146eede' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-82fb3d74-9747-4b98-930d-4bd0a18f8eda' class='xr-var-data-in' type='checkbox'><label for='data-82fb3d74-9747-4b98-930d-4bd0a18f8eda' 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'><dt><span>units :</span></dt><dd>Units of A</dd></dl></div><div class='xr-var-data'><pre>array([[[[9.63975726e-04, 1.01875818e-03, 1.07544624e-03, ...,\n",
       "          2.00950606e-08, 1.70244972e-08, 1.44069436e-08],\n",
       "         [1.20383270e-03, 1.27224615e-03, 1.34303937e-03, ...,\n",
       "          2.50951247e-08, 2.12605420e-08, 1.79916872e-08],\n",
       "         [1.49656914e-03, 1.58161871e-03, 1.66962674e-03, ...,\n",
       "          3.11975154e-08, 2.64304758e-08, 2.23667324e-08],\n",
       "         ...,\n",
       "         [1.49656914e-03, 1.58161871e-03, 1.66962674e-03, ...,\n",
       "          3.11975154e-08, 2.64304758e-08, 2.23667324e-08],\n",
       "         [1.20383270e-03, 1.27224615e-03, 1.34303937e-03, ...,\n",
       "          2.50951247e-08, 2.12605420e-08, 1.79916872e-08],\n",
       "         [9.63975726e-04, 1.01875818e-03, 1.07544624e-03, ...,\n",
       "          2.00950606e-08, 1.70244972e-08, 1.44069436e-08]]],\n",
       "\n",
       "\n",
       "       [[[9.74897496e-03, 1.01620305e-02, 1.05854638e-02, ...,\n",
       "          7.92682641e-05, 7.23717070e-05, 6.60307366e-05],\n",
       "         [1.11377824e-02, 1.16096805e-02, 1.20934348e-02, ...,\n",
       "          9.05605644e-05, 8.26815461e-05, 7.54372616e-05],\n",
       "         [1.26898970e-02, 1.32275569e-02, 1.37787251e-02, ...,\n",
       "...\n",
       "          4.61781024e-01, 4.58393941e-01, 4.54976507e-01],\n",
       "         [1.80546257e-01, 1.83556544e-01, 1.86594386e-01, ...,\n",
       "          4.51043543e-01, 4.47735218e-01, 4.44397247e-01],\n",
       "         [1.76261723e-01, 1.79200573e-01, 1.82166324e-01, ...,\n",
       "          4.40339851e-01, 4.37110036e-01, 4.33851278e-01]]],\n",
       "\n",
       "\n",
       "       [[[1.96911675e-01, 1.99892586e-01, 2.02898127e-01, ...,\n",
       "          5.40558852e-01, 5.37930786e-01, 5.35261429e-01],\n",
       "         [2.00889145e-01, 2.03930268e-01, 2.06996519e-01, ...,\n",
       "          5.51477740e-01, 5.48796589e-01, 5.46073312e-01],\n",
       "         [2.04863330e-01, 2.07964616e-01, 2.11091527e-01, ...,\n",
       "          5.62387611e-01, 5.59653419e-01, 5.56876269e-01],\n",
       "         ...,\n",
       "         [2.04863330e-01, 2.07964616e-01, 2.11091527e-01, ...,\n",
       "          5.62387611e-01, 5.59653419e-01, 5.56876269e-01],\n",
       "         [2.00889145e-01, 2.03930268e-01, 2.06996519e-01, ...,\n",
       "          5.51477740e-01, 5.48796589e-01, 5.46073312e-01],\n",
       "         [1.96911675e-01, 1.99892586e-01, 2.02898127e-01, ...,\n",
       "          5.40558852e-01, 5.37930786e-01, 5.35261429e-01]]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B</span></div><div class='xr-var-dims'>(time, z, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.000964 0.001019 ... 0.5379 0.5353</div><input id='attrs-0c8f0e23-e671-4f95-afad-d049b5f052a2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0c8f0e23-e671-4f95-afad-d049b5f052a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e01df7e-0169-4ea0-8a77-985d28dbe195' class='xr-var-data-in' type='checkbox'><label for='data-6e01df7e-0169-4ea0-8a77-985d28dbe195' 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'><dt><span>units :</span></dt><dd>Units of B</dd></dl></div><div class='xr-var-data'><pre>array([[[[9.63975726e-04, 1.01875818e-03, 1.07544624e-03, ...,\n",
       "          2.00950606e-08, 1.70244972e-08, 1.44069436e-08],\n",
       "         [1.20383270e-03, 1.27224615e-03, 1.34303937e-03, ...,\n",
       "          2.50951247e-08, 2.12605420e-08, 1.79916872e-08],\n",
       "         [1.49656914e-03, 1.58161871e-03, 1.66962674e-03, ...,\n",
       "          3.11975154e-08, 2.64304758e-08, 2.23667324e-08],\n",
       "         ...,\n",
       "         [1.49656914e-03, 1.58161871e-03, 1.66962674e-03, ...,\n",
       "          3.11975154e-08, 2.64304758e-08, 2.23667324e-08],\n",
       "         [1.20383270e-03, 1.27224615e-03, 1.34303937e-03, ...,\n",
       "          2.50951247e-08, 2.12605420e-08, 1.79916872e-08],\n",
       "         [9.63975726e-04, 1.01875818e-03, 1.07544624e-03, ...,\n",
       "          2.00950606e-08, 1.70244972e-08, 1.44069436e-08]]],\n",
       "\n",
       "\n",
       "       [[[9.74897496e-03, 1.01620305e-02, 1.05854638e-02, ...,\n",
       "          7.92682641e-05, 7.23717070e-05, 6.60307366e-05],\n",
       "         [1.11377824e-02, 1.16096805e-02, 1.20934348e-02, ...,\n",
       "          9.05605644e-05, 8.26815461e-05, 7.54372616e-05],\n",
       "         [1.26898970e-02, 1.32275569e-02, 1.37787251e-02, ...,\n",
       "...\n",
       "          4.61781024e-01, 4.58393941e-01, 4.54976507e-01],\n",
       "         [1.80546257e-01, 1.83556544e-01, 1.86594386e-01, ...,\n",
       "          4.51043543e-01, 4.47735218e-01, 4.44397247e-01],\n",
       "         [1.76261723e-01, 1.79200573e-01, 1.82166324e-01, ...,\n",
       "          4.40339851e-01, 4.37110036e-01, 4.33851278e-01]]],\n",
       "\n",
       "\n",
       "       [[[1.96911675e-01, 1.99892586e-01, 2.02898127e-01, ...,\n",
       "          5.40558852e-01, 5.37930786e-01, 5.35261429e-01],\n",
       "         [2.00889145e-01, 2.03930268e-01, 2.06996519e-01, ...,\n",
       "          5.51477740e-01, 5.48796589e-01, 5.46073312e-01],\n",
       "         [2.04863330e-01, 2.07964616e-01, 2.11091527e-01, ...,\n",
       "          5.62387611e-01, 5.59653419e-01, 5.56876269e-01],\n",
       "         ...,\n",
       "         [2.04863330e-01, 2.07964616e-01, 2.11091527e-01, ...,\n",
       "          5.62387611e-01, 5.59653419e-01, 5.56876269e-01],\n",
       "         [2.00889145e-01, 2.03930268e-01, 2.06996519e-01, ...,\n",
       "          5.51477740e-01, 5.48796589e-01, 5.46073312e-01],\n",
       "         [1.96911675e-01, 1.99892586e-01, 2.02898127e-01, ...,\n",
       "          5.40558852e-01, 5.37930786e-01, 5.35261429e-01]]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-96835d61-d2ad-441d-b4c4-e826bcb1ba24' class='xr-section-summary-in' type='checkbox'  ><label for='section-96835d61-d2ad-441d-b4c4-e826bcb1ba24' class='xr-section-summary' >Indexes: <span>(4)</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-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-61a21934-bb02-4e57-af59-3cd317b05ea6' class='xr-index-data-in' type='checkbox'/><label for='index-61a21934-bb02-4e57-af59-3cd317b05ea6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2019-09-09 00:00:00&#x27;, &#x27;2019-09-09 03:00:00&#x27;,\n",
       "               &#x27;2019-09-09 06:00:00&#x27;, &#x27;2019-09-09 09:00:00&#x27;,\n",
       "               &#x27;2019-09-09 12:00:00&#x27;, &#x27;2019-09-09 15:00:00&#x27;,\n",
       "               &#x27;2019-09-09 18:00:00&#x27;, &#x27;2019-09-09 21:00:00&#x27;,\n",
       "               &#x27;2019-09-10 00:00:00&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-bb0dea0a-8227-477c-a2b1-8fe86f6ca6f0' class='xr-index-data-in' type='checkbox'/><label for='index-bb0dea0a-8227-477c-a2b1-8fe86f6ca6f0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([              18.0, 18.424242424242426, 18.848484848484848,\n",
       "              19.272727272727273, 19.696969696969695,  20.12121212121212,\n",
       "              20.545454545454547,  20.96969696969697, 21.393939393939394,\n",
       "               21.81818181818182, 22.242424242424242, 22.666666666666668,\n",
       "               23.09090909090909, 23.515151515151516, 23.939393939393938,\n",
       "              24.363636363636363,  24.78787878787879,  25.21212121212121,\n",
       "              25.636363636363637, 26.060606060606062, 26.484848484848484,\n",
       "               26.90909090909091, 27.333333333333336, 27.757575757575758,\n",
       "               28.18181818181818, 28.606060606060606,  29.03030303030303,\n",
       "              29.454545454545453,  29.87878787878788, 30.303030303030305,\n",
       "              30.727272727272727, 31.151515151515152, 31.575757575757578,\n",
       "                            32.0,  32.42424242424242,  32.84848484848485,\n",
       "               33.27272727272727, 33.696969696969695, 34.121212121212125,\n",
       "               34.54545454545455,  34.96969696969697,  35.39393939393939,\n",
       "               35.81818181818182,  36.24242424242424,  36.66666666666667,\n",
       "               37.09090909090909, 37.515151515151516,  37.93939393939394,\n",
       "               38.36363636363636,  38.78787878787879,  39.21212121212121,\n",
       "               39.63636363636364,  40.06060606060606, 40.484848484848484,\n",
       "               40.90909090909091, 41.333333333333336,  41.75757575757576,\n",
       "               42.18181818181819,  42.60606060606061,  43.03030303030303,\n",
       "               43.45454545454545, 43.878787878787875, 44.303030303030305,\n",
       "               44.72727272727273, 45.151515151515156,  45.57575757575758,\n",
       "                            46.0,  46.42424242424242, 46.848484848484844,\n",
       "               47.27272727272727,   47.6969696969697, 48.121212121212125,\n",
       "               48.54545454545455,  48.96969696969697,  49.39393939393939,\n",
       "               49.81818181818182,  50.24242424242424, 50.666666666666664,\n",
       "               51.09090909090909, 51.515151515151516,  51.93939393939394,\n",
       "               52.36363636363637,  52.78787878787879,  53.21212121212121,\n",
       "               53.63636363636364,  54.06060606060606, 54.484848484848484,\n",
       "              54.909090909090914, 55.333333333333336,  55.75757575757576,\n",
       "               56.18181818181818,  56.60606060606061,  57.03030303030303,\n",
       "               57.45454545454545,  57.87878787878788, 58.303030303030305,\n",
       "               58.72727272727273, 59.151515151515156,  59.57575757575758,\n",
       "                            60.0],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b16c397f-63e9-4ed9-bf89-9648e8917a04' class='xr-index-data-in' type='checkbox'/><label for='index-b16c397f-63e9-4ed9-bf89-9648e8917a04' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([             -161.0,  -160.4924623115578, -159.98492462311557,\n",
       "              -159.47738693467338, -158.96984924623115, -158.46231155778895,\n",
       "              -157.95477386934672, -157.44723618090453,  -156.9396984924623,\n",
       "               -156.4321608040201,\n",
       "              ...\n",
       "                -64.5678391959799,  -64.06030150753769, -63.552763819095475,\n",
       "              -63.045226130653276,  -62.53768844221106,  -62.03015075376885,\n",
       "               -61.52261306532664, -61.015075376884425,  -60.50753768844221,\n",
       "                            -60.0],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=200))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>z</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4b26fd1b-97cd-498f-897f-9f0fcd3388eb' class='xr-index-data-in' type='checkbox'/><label for='index-4b26fd1b-97cd-498f-897f-9f0fcd3388eb' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Int64Index([1], dtype=&#x27;int64&#x27;, name=&#x27;z&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5714bde1-efa1-4ad2-a35e-3d7666ebd2c0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5714bde1-efa1-4ad2-a35e-3d7666ebd2c0' 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: 9, lat: 100, lon: 200, z: 1)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 2019-09-09 2019-09-09T03:00:00 ... 2019-09-10\n",
       "  * lat      (lat) float64 18.0 18.42 18.85 19.27 ... 58.73 59.15 59.58 60.0\n",
       "  * lon      (lon) float64 -161.0 -160.5 -160.0 -159.5 ... -61.02 -60.51 -60.0\n",
       "  * z        (z) int32 1\n",
       "Data variables:\n",
       "    A        (time, z, lat, lon) float64 0.000964 0.001019 ... 0.5379 0.5353\n",
       "    B        (time, z, lat, lon) float64 0.000964 0.001019 ... 0.5379 0.5353"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "an.models['test_model'].obj"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "cbd30db3-9d78-4752-9457-fab3e25bf91f",
   "metadata": {},
   "outputs": [],
   "source": [
    "an.open_obs()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "d773da3c-d8fe-41be-99b0-f2e18588917a",
   "metadata": {
    "tags": [
     "hide-output"
    ]
   },
   "outputs": [
    {
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       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:         (x: 500, time: 9, y: 1)\n",
       "Coordinates:\n",
       "  * x               (x) int32 0 1 2 3 4 5 6 7 ... 493 494 495 496 497 498 499\n",
       "  * time            (time) datetime64[ns] 2019-09-09 ... 2019-09-10\n",
       "    latitude        (y, x) float64 ...\n",
       "    longitude       (y, x) float64 ...\n",
       "    siteid          (y, x) object ...\n",
       "    something_vlen  (y, x) object ...\n",
       "Dimensions without coordinates: y\n",
       "Data variables:\n",
       "    A_obs           (time, y, x) float64 ...\n",
       "    B_obs           (time, y, x) float64 ...</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-e986fa20-d78f-474b-b87b-52619935f302' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e986fa20-d78f-474b-b87b-52619935f302' 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'>x</span>: 500</li><li><span class='xr-has-index'>time</span>: 9</li><li><span>y</span>: 1</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-c08f6b3f-d5ef-488b-98e2-5913bad4e914' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c08f6b3f-d5ef-488b-98e2-5913bad4e914' class='xr-section-summary' >Coordinates: <span>(6)</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'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 495 496 497 498 499</div><input id='attrs-fdef93cc-b148-46d0-8bbe-350b713dfd11' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fdef93cc-b148-46d0-8bbe-350b713dfd11' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f73697ea-fc5b-4dc1-b104-e740b009761c' class='xr-var-data-in' type='checkbox'><label for='data-f73697ea-fc5b-4dc1-b104-e740b009761c' 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([  0,   1,   2, ..., 497, 498, 499])</pre></div></li><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'>2019-09-09 ... 2019-09-10</div><input id='attrs-6e30ca88-ccd0-4b7f-ba7b-954ec26566c1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6e30ca88-ccd0-4b7f-ba7b-954ec26566c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-08bb16a1-388d-41ee-b903-55aaf7d434ec' class='xr-var-data-in' type='checkbox'><label for='data-08bb16a1-388d-41ee-b903-55aaf7d434ec' 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;2019-09-09T00:00:00.000000000&#x27;, &#x27;2019-09-09T03:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-09T06:00:00.000000000&#x27;, &#x27;2019-09-09T09:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-09T12:00:00.000000000&#x27;, &#x27;2019-09-09T15:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-09T18:00:00.000000000&#x27;, &#x27;2019-09-09T21:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-10T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c5dd1558-6550-4734-9d71-aa38600cb9b1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c5dd1558-6550-4734-9d71-aa38600cb9b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98565e85-9a4f-4d33-8aa1-07ec4a8d4406' class='xr-var-data-in' type='checkbox'><label for='data-98565e85-9a4f-4d33-8aa1-07ec4a8d4406' 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'><dt><span>longname :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degN</dd></dl></div><div class='xr-var-data'><pre>[500 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-652fc252-54fe-4457-8f9f-96dea2ba2c87' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-652fc252-54fe-4457-8f9f-96dea2ba2c87' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a1670f6-290e-4c98-bfd8-43a6742b481d' class='xr-var-data-in' type='checkbox'><label for='data-4a1670f6-290e-4c98-bfd8-43a6742b481d' 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'><dt><span>longname :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degE</dd></dl></div><div class='xr-var-data'><pre>[500 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>siteid</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a4e37f86-5d5c-4cea-98b9-d0481a52ad56' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a4e37f86-5d5c-4cea-98b9-d0481a52ad56' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a2eb34f-965d-4ec4-aeef-b70128c73b00' class='xr-var-data-in' type='checkbox'><label for='data-3a2eb34f-965d-4ec4-aeef-b70128c73b00' 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>[500 values with dtype=object]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>something_vlen</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-42b90643-5c60-490c-9aed-02da6d90ea7f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-42b90643-5c60-490c-9aed-02da6d90ea7f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f841e492-e5f2-4ca8-b672-079c6a18d75a' class='xr-var-data-in' type='checkbox'><label for='data-f841e492-e5f2-4ca8-b672-079c6a18d75a' 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>[500 values with dtype=object]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e98f854f-9fac-45b8-ae3d-88e87e7ade05' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e98f854f-9fac-45b8-ae3d-88e87e7ade05' class='xr-section-summary' >Data variables: <span>(2)</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>A_obs</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bcdc5204-0d0d-4bfd-9379-2a8204800a9d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bcdc5204-0d0d-4bfd-9379-2a8204800a9d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9fec14bd-ee06-44a9-80f6-6e6df4117a77' class='xr-var-data-in' type='checkbox'><label for='data-9fec14bd-ee06-44a9-80f6-6e6df4117a77' 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'><dt><span>units :</span></dt><dd>Units of A</dd></dl></div><div class='xr-var-data'><pre>[4500 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_obs</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5c6d3516-f873-497c-9939-872a4b7c4807' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5c6d3516-f873-497c-9939-872a4b7c4807' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d35a63b8-db84-4167-b764-d9f96dcef680' class='xr-var-data-in' type='checkbox'><label for='data-d35a63b8-db84-4167-b764-d9f96dcef680' 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'><dt><span>units :</span></dt><dd>Units of B</dd></dl></div><div class='xr-var-data'><pre>[4500 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-03956863-7594-4e0b-b9cd-a1c1163b4a87' class='xr-section-summary-in' type='checkbox'  ><label for='section-03956863-7594-4e0b-b9cd-a1c1163b4a87' class='xr-section-summary' >Indexes: <span>(2)</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-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2fffc91c-9cf2-400f-a91b-53f0c894f554' class='xr-index-data-in' type='checkbox'/><label for='index-2fffc91c-9cf2-400f-a91b-53f0c894f554' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Int64Index([  0,   1,   2,   3,   4,   5,   6,   7,   8,   9,\n",
       "            ...\n",
       "            490, 491, 492, 493, 494, 495, 496, 497, 498, 499],\n",
       "           dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;, length=500))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-013d89ba-a8e5-4bba-9d1d-739625504ff1' class='xr-index-data-in' type='checkbox'/><label for='index-013d89ba-a8e5-4bba-9d1d-739625504ff1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2019-09-09 00:00:00&#x27;, &#x27;2019-09-09 03:00:00&#x27;,\n",
       "               &#x27;2019-09-09 06:00:00&#x27;, &#x27;2019-09-09 09:00:00&#x27;,\n",
       "               &#x27;2019-09-09 12:00:00&#x27;, &#x27;2019-09-09 15:00:00&#x27;,\n",
       "               &#x27;2019-09-09 18:00:00&#x27;, &#x27;2019-09-09 21:00:00&#x27;,\n",
       "               &#x27;2019-09-10 00:00:00&#x27;],\n",
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       "Dimensions:         (x: 500, time: 9, y: 1)\n",
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       "  * x               (x) int32 0 1 2 3 4 5 6 7 ... 493 494 495 496 497 498 499\n",
       "  * time            (time) datetime64[ns] 2019-09-09 ... 2019-09-10\n",
       "    latitude        (y, x) float64 ...\n",
       "    longitude       (y, x) float64 ...\n",
       "    siteid          (y, x) object ...\n",
       "    something_vlen  (y, x) object ...\n",
       "Dimensions without coordinates: y\n",
       "Data variables:\n",
       "    A_obs           (time, y, x) float64 ...\n",
       "    B_obs           (time, y, x) float64 ..."
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "an.obs['test_obs'].obj"
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  {
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   "metadata": {},
   "source": [
    "## Pair"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "2423b73a-d5d9-4700-bdab-9c3ed1378fb6",
   "metadata": {
    "tags": [
     "hide-output"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "After pairing:                      time   latitude   longitude siteid something_vlen  \\\n",
      "0    2019-09-09 00:00:00  33.730685  -90.485667    000          xicjs   \n",
      "1    2019-09-09 03:00:00  33.730685  -90.485667    000          xicjs   \n",
      "2    2019-09-09 06:00:00  33.730685  -90.485667    000          xicjs   \n",
      "3    2019-09-09 09:00:00  33.730685  -90.485667    000          xicjs   \n",
      "4    2019-09-09 12:00:00  33.730685  -90.485667    000          xicjs   \n",
      "...                  ...        ...         ...    ...            ...   \n",
      "4495 2019-09-09 12:00:00  59.420851 -115.953417    499         poqhzl   \n",
      "4496 2019-09-09 15:00:00  59.420851 -115.953417    499         poqhzl   \n",
      "4497 2019-09-09 18:00:00  59.420851 -115.953417    499         poqhzl   \n",
      "4498 2019-09-09 21:00:00  59.420851 -115.953417    499         poqhzl   \n",
      "4499 2019-09-10 00:00:00  59.420851 -115.953417    499         poqhzl   \n",
      "\n",
      "         A_obs     B_obs         A         B  \n",
      "0     0.209983 -0.109890  0.008033  0.008033  \n",
      "1     0.171024  0.289535  0.111157  0.111157  \n",
      "2    -0.174732  0.634226  0.343373  0.343373  \n",
      "3     0.518397  0.673546  0.587818  0.587818  \n",
      "4     1.091830  1.225345  0.769533  0.769533  \n",
      "...        ...       ...       ...       ...  \n",
      "4495  0.160357  0.926215  0.316865  0.316865  \n",
      "4496  0.652020  0.369675  0.394017  0.394017  \n",
      "4497  0.713842  0.143496  0.450187  0.450187  \n",
      "4498  0.328453  0.524407  0.489130  0.489130  \n",
      "4499  0.655239  0.636502  0.515131  0.515131  \n",
      "\n",
      "[4500 rows x 9 columns]\n",
      "CPU times: total: 109 ms\n",
      "Wall time: 85 ms\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "an.pair_data()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "58d9ff77-09c3-4761-bfdb-f90aeb030314",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'test_obs_test_model': pair(\n",
       "     type='pt_sfc',\n",
       "     radius_of_influence=1000000.0,\n",
       "     obs='test_obs',\n",
       "     model='test_model',\n",
       "     model_vars=['A', 'B'],\n",
       "     obs_vars=['A_obs', 'B_obs'],\n",
       "     filename='test_obs_test_model.nc',\n",
       " )}"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "an.paired"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "02f11879-2172-4a13-bf70-b73fc474987f",
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:         (time: 9, x: 500)\n",
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       "    B               (time, x) float64 0.008033 0.001784 0.2917 ... 0.5939 0.5151\n",
       "    latitude        (x) float64 33.73 57.93 48.74 43.14 ... 21.26 58.92 59.42\n",
       "    longitude       (x) float64 -90.49 -106.9 -129.7 ... -147.2 -65.03 -116.0\n",
       "    siteid          (x) object &#x27;000&#x27; &#x27;001&#x27; &#x27;002&#x27; &#x27;003&#x27; ... &#x27;497&#x27; &#x27;498&#x27; &#x27;499&#x27;</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-61d93d23-28f3-4cd6-9abf-f7b39ee57e39' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-61d93d23-28f3-4cd6-9abf-f7b39ee57e39' 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>: 9</li><li><span class='xr-has-index'>x</span>: 500</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b753b065-8778-4d57-a7a6-4afb5c867896' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b753b065-8778-4d57-a7a6-4afb5c867896' class='xr-section-summary' >Coordinates: <span>(2)</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'>2019-09-09 ... 2019-09-10</div><input id='attrs-a684690a-f614-4cc7-aa55-5bdb1911c421' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a684690a-f614-4cc7-aa55-5bdb1911c421' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c49ad100-657c-4e1b-84d9-e5ee5bcb9417' class='xr-var-data-in' type='checkbox'><label for='data-c49ad100-657c-4e1b-84d9-e5ee5bcb9417' 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;2019-09-09T00:00:00.000000000&#x27;, &#x27;2019-09-09T03:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-09T06:00:00.000000000&#x27;, &#x27;2019-09-09T09:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-09T12:00:00.000000000&#x27;, &#x27;2019-09-09T15:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-09T18:00:00.000000000&#x27;, &#x27;2019-09-09T21:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-10T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 495 496 497 498 499</div><input id='attrs-19f5c226-7c1a-4525-bf8f-83d7f9cb56e5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-19f5c226-7c1a-4525-bf8f-83d7f9cb56e5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-09b79c14-96c8-4183-9476-088ef2045549' class='xr-var-data-in' type='checkbox'><label for='data-09b79c14-96c8-4183-9476-088ef2045549' 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([  0,   1,   2, ..., 497, 498, 499])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-96d642d8-6890-403a-8706-e51e911ff208' class='xr-section-summary-in' type='checkbox'  checked><label for='section-96d642d8-6890-403a-8706-e51e911ff208' class='xr-section-summary' >Data variables: <span>(8)</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>something_vlen</span></div><div class='xr-var-dims'>(time, x)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;xicjs&#x27; &#x27;cvoaglq&#x27; ... &#x27;poqhzl&#x27;</div><input id='attrs-1421a1f5-22f5-4134-80da-0e319044677a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1421a1f5-22f5-4134-80da-0e319044677a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-14852115-0707-41e5-9cb7-0feeb144a60e' class='xr-var-data-in' type='checkbox'><label for='data-14852115-0707-41e5-9cb7-0feeb144a60e' 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;xicjs&#x27;, &#x27;cvoaglq&#x27;, &#x27;uzxt&#x27;, ..., &#x27;txky&#x27;, &#x27;dzzfatw&#x27;, &#x27;poqhzl&#x27;],\n",
       "       [&#x27;xicjs&#x27;, &#x27;cvoaglq&#x27;, &#x27;uzxt&#x27;, ..., &#x27;txky&#x27;, &#x27;dzzfatw&#x27;, &#x27;poqhzl&#x27;],\n",
       "       [&#x27;xicjs&#x27;, &#x27;cvoaglq&#x27;, &#x27;uzxt&#x27;, ..., &#x27;txky&#x27;, &#x27;dzzfatw&#x27;, &#x27;poqhzl&#x27;],\n",
       "       ...,\n",
       "       [&#x27;xicjs&#x27;, &#x27;cvoaglq&#x27;, &#x27;uzxt&#x27;, ..., &#x27;txky&#x27;, &#x27;dzzfatw&#x27;, &#x27;poqhzl&#x27;],\n",
       "       [&#x27;xicjs&#x27;, &#x27;cvoaglq&#x27;, &#x27;uzxt&#x27;, ..., &#x27;txky&#x27;, &#x27;dzzfatw&#x27;, &#x27;poqhzl&#x27;],\n",
       "       [&#x27;xicjs&#x27;, &#x27;cvoaglq&#x27;, &#x27;uzxt&#x27;, ..., &#x27;txky&#x27;, &#x27;dzzfatw&#x27;, &#x27;poqhzl&#x27;]],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>A_obs</span></div><div class='xr-var-dims'>(time, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.21 0.1793 0.1735 ... 0.118 0.6552</div><input id='attrs-17a2b59d-d99c-49f9-a21f-c7a2d4fc0459' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-17a2b59d-d99c-49f9-a21f-c7a2d4fc0459' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d9e41695-bc74-4896-9a2a-379c656495e7' class='xr-var-data-in' type='checkbox'><label for='data-d9e41695-bc74-4896-9a2a-379c656495e7' 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([[ 0.2099829 ,  0.17932443,  0.17347036, ..., -0.12949567,\n",
       "         0.08897279,  0.14119392],\n",
       "       [ 0.17102405,  0.12774713,  0.99824079, ..., -0.06171873,\n",
       "        -0.02654822,  0.02262378],\n",
       "       [-0.17473203,  0.579746  ,  0.60981294, ..., -0.06527422,\n",
       "         0.18617832, -0.07258142],\n",
       "       ...,\n",
       "       [ 1.05766824,  0.67393084,  0.16254305, ...,  0.40402354,\n",
       "         0.15613566,  0.71384242],\n",
       "       [ 1.00803703,  0.67053081,  0.38867713, ..., -0.12198812,\n",
       "         0.58402152,  0.32845322],\n",
       "       [ 1.52438056,  0.61830325,  0.36847432, ...,  0.46203647,\n",
       "         0.11798536,  0.65523887]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_obs</span></div><div class='xr-var-dims'>(time, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.1099 -0.2269 ... 0.1155 0.6365</div><input id='attrs-2757d926-3015-474a-9f04-c38442b27bda' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2757d926-3015-474a-9f04-c38442b27bda' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03d1c7a2-4f20-4752-8587-2e5df4db81f3' class='xr-var-data-in' type='checkbox'><label for='data-03d1c7a2-4f20-4752-8587-2e5df4db81f3' 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([[-0.10989016, -0.22694519,  0.05157348, ...,  0.40731178,\n",
       "        -0.02230347, -0.05312695],\n",
       "       [ 0.28953523,  0.06414867,  0.37113096, ...,  0.18021661,\n",
       "         0.32210091, -0.22212487],\n",
       "       [ 0.63422636,  0.34256539,  1.15302726, ...,  0.20891579,\n",
       "        -0.07465604,  0.29321073],\n",
       "       ...,\n",
       "       [ 0.85043225,  0.33023562,  0.61674924, ..., -0.05094311,\n",
       "         0.4755864 ,  0.14349633],\n",
       "       [ 0.70597131,  0.49890699,  0.30775787, ...,  0.85768501,\n",
       "         0.85791648,  0.5244066 ],\n",
       "       [ 0.86426596,  0.1492836 ,  0.70229604, ...,  0.6228601 ,\n",
       "         0.11553596,  0.63650216]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>A</span></div><div class='xr-var-dims'>(time, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.008033 0.001784 ... 0.5939 0.5151</div><input id='attrs-6839d1ca-a6a6-4480-acbb-36e3d74668b0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6839d1ca-a6a6-4480-acbb-36e3d74668b0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea3e0bd1-9124-46af-8546-85a0bd04ef94' class='xr-var-data-in' type='checkbox'><label for='data-ea3e0bd1-9124-46af-8546-85a0bd04ef94' 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([[8.03320269e-03, 1.78360465e-03, 2.91693966e-01, ...,\n",
       "        1.50652861e-02, 1.39718746e-07, 2.03380397e-03],\n",
       "       [1.11157102e-01, 3.45078971e-02, 5.02580022e-01, ...,\n",
       "        6.34841648e-02, 2.37030689e-04, 3.21133634e-02],\n",
       "       [3.43372816e-01, 1.31914391e-01, 6.10459770e-01, ...,\n",
       "        1.26774586e-01, 7.56835618e-03, 1.13757398e-01],\n",
       "       ...,\n",
       "       [9.39209194e-01, 5.40042571e-01, 6.43731023e-01, ...,\n",
       "        2.95250770e-01, 3.83594490e-01, 4.50186690e-01],\n",
       "       [9.62152081e-01, 5.83207511e-01, 6.29051795e-01, ...,\n",
       "        3.15534677e-01, 4.99024582e-01, 4.89129706e-01],\n",
       "       [9.63492520e-01, 6.10032030e-01, 6.13994732e-01, ...,\n",
       "        3.30805131e-01, 5.93908740e-01, 5.15131073e-01]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B</span></div><div class='xr-var-dims'>(time, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.008033 0.001784 ... 0.5939 0.5151</div><input id='attrs-0f34944f-edde-4131-8283-dae79db1cfa0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0f34944f-edde-4131-8283-dae79db1cfa0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1dd1d30b-dc73-41e0-a198-4713664c3e11' class='xr-var-data-in' type='checkbox'><label for='data-1dd1d30b-dc73-41e0-a198-4713664c3e11' 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([[8.03320269e-03, 1.78360465e-03, 2.91693966e-01, ...,\n",
       "        1.50652861e-02, 1.39718746e-07, 2.03380397e-03],\n",
       "       [1.11157102e-01, 3.45078971e-02, 5.02580022e-01, ...,\n",
       "        6.34841648e-02, 2.37030689e-04, 3.21133634e-02],\n",
       "       [3.43372816e-01, 1.31914391e-01, 6.10459770e-01, ...,\n",
       "        1.26774586e-01, 7.56835618e-03, 1.13757398e-01],\n",
       "       ...,\n",
       "       [9.39209194e-01, 5.40042571e-01, 6.43731023e-01, ...,\n",
       "        2.95250770e-01, 3.83594490e-01, 4.50186690e-01],\n",
       "       [9.62152081e-01, 5.83207511e-01, 6.29051795e-01, ...,\n",
       "        3.15534677e-01, 4.99024582e-01, 4.89129706e-01],\n",
       "       [9.63492520e-01, 6.10032030e-01, 6.13994732e-01, ...,\n",
       "        3.30805131e-01, 5.93908740e-01, 5.15131073e-01]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>33.73 57.93 48.74 ... 58.92 59.42</div><input id='attrs-6fdcd69d-0be0-4096-9ec8-62cb75858e60' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6fdcd69d-0be0-4096-9ec8-62cb75858e60' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-78c4705f-f070-4383-a6a2-7d670bd6b9f4' class='xr-var-data-in' type='checkbox'><label for='data-78c4705f-f070-4383-a6a2-7d670bd6b9f4' 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([33.73068499, 57.93000087, 48.74374556, 43.14365634, 24.5527829 ,\n",
       "       24.55176985, 20.43951171, 54.37939812, 43.24683049, 47.73904827,\n",
       "       18.86454876, 58.73621379, 52.96259091, 26.91824265, 25.63664862,\n",
       "       25.70298941, 30.7781742 , 40.03977013, 36.14169078, 30.23162389,\n",
       "       43.69782158, 23.85874215, 30.27007524, 33.38719742, 37.15493934,\n",
       "       50.97739038, 26.38629885, 39.59784641, 42.88141189, 19.95091733,\n",
       "       43.51688378, 25.16201319, 20.73216691, 57.85319256, 58.55654539,\n",
       "       51.95268862, 30.79377831, 22.10222879, 46.73778711, 36.48640474,\n",
       "       23.12560586, 38.79743022, 19.44431789, 56.19145689, 28.86875923,\n",
       "       45.82593594, 31.0918652 , 39.84285689, 40.96183173, 25.76388713,\n",
       "       58.72255437, 50.55557858, 57.45895555, 55.58274872, 43.11179911,\n",
       "       56.71871787, 21.71668509, 26.23128022, 19.89954613, 31.66387389,\n",
       "       34.32444617, 29.39665933, 52.80697538, 32.98363972, 29.79924941,\n",
       "       40.79323549, 23.91881745, 51.69227319, 21.13112703, 59.44925134,\n",
       "       50.43428031, 26.34605862, 18.23192892, 52.24938   , 47.68800844,\n",
       "       48.61830106, 50.39335456, 21.10987537, 33.0555606 , 22.8665005 ,\n",
       "       54.25034389, 44.17852133, 31.89771704, 20.66945071, 31.06125751,\n",
       "       31.65769953, 48.64345949, 44.7774138 , 55.26293519, 37.83302686,\n",
       "       23.02295833, 47.95628106, 49.95297204, 41.5736423 , 50.38062156,\n",
       "       38.73941505, 39.95477883, 35.95672277, 19.06760332, 22.53143993,\n",
       "...\n",
       "       22.33120249, 55.90722208, 39.22059964, 52.71121358, 31.44208324,\n",
       "       55.6119756 , 34.34647051, 18.45518136, 56.02604301, 21.83404043,\n",
       "       31.41117278, 57.90260262, 57.92550017, 42.0843913 , 44.53716291,\n",
       "       36.83471192, 30.31485241, 31.80391091, 46.24577516, 49.59973024,\n",
       "       51.24631984, 51.163962  , 21.83065633, 38.7656528 , 20.41746792,\n",
       "       41.08021306, 36.54428106, 55.28357568, 32.73843053, 22.91681469,\n",
       "       24.00565065, 49.98344653, 43.96515866, 22.2471524 , 21.53248586,\n",
       "       47.44070352, 21.05604627, 52.51812249, 47.66217354, 21.41664879,\n",
       "       21.56318399, 59.4388623 , 33.71937342, 33.56697018, 52.13758182,\n",
       "       57.78444025, 59.41204468, 49.64188378, 33.80290259, 21.5070301 ,\n",
       "       50.64017047, 41.45297849, 35.81732439, 56.06688417, 22.67029426,\n",
       "       38.69025438, 18.47685308, 37.68374696, 20.36473758, 22.99035248,\n",
       "       22.93610236, 45.26683269, 49.33388493, 42.50148813, 58.41124704,\n",
       "       33.74456434, 29.99990762, 54.48116338, 27.39102522, 58.45534666,\n",
       "       18.51048794, 58.73491072, 19.8127163 , 55.42801078, 40.16344658,\n",
       "       59.70452144, 21.09945572, 41.26187994, 58.7107065 , 39.97010946,\n",
       "       44.4347428 , 47.22144494, 37.09072472, 44.35743936, 42.5412011 ,\n",
       "       55.84863644, 19.90874797, 29.80045396, 57.91728233, 55.39107892,\n",
       "       37.13758362, 44.04556911, 29.65000969, 25.90108871, 37.47533301,\n",
       "       32.84079358, 42.5135567 , 21.26485475, 58.92458192, 59.42085127])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.49 -106.9 ... -65.03 -116.0</div><input id='attrs-5e96340c-37ba-4393-94cf-33ebde501a95' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5e96340c-37ba-4393-94cf-33ebde501a95' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b1faedc-9df9-40d3-97f3-d59a71597062' class='xr-var-data-in' type='checkbox'><label for='data-7b1faedc-9df9-40d3-97f3-d59a71597062' 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([ -90.48566688, -106.854267  , -129.73771076,  -78.80670301,\n",
       "        -91.84215157, -144.57568913,  -68.99635437,  -77.92373846,\n",
       "        -65.07020876,  -87.70232965,  -99.04506521, -118.75745333,\n",
       "        -66.79442318,  -73.52754716, -156.43291432, -158.33693558,\n",
       "       -122.97719995,  -79.13411359,  -61.28511094, -145.807894  ,\n",
       "       -100.99279775, -122.53002348,  -63.03864582,  -75.94598876,\n",
       "        -76.32880082, -113.66199086, -119.10323026, -133.38588573,\n",
       "       -155.30607484,  -73.66304   ,  -78.89699808,  -60.028515  ,\n",
       "        -60.33967946, -104.90139773,  -83.33227107,  -65.57866128,\n",
       "        -75.18561354, -136.01784172, -115.49504233, -147.95489907,\n",
       "        -64.64084625,  -99.77636192, -137.90707664,  -93.15823088,\n",
       "        -98.56904771, -124.82556548, -149.53068319,  -93.17110725,\n",
       "       -108.44892221,  -82.99584243, -108.46348639,  -74.92966847,\n",
       "       -105.25740928, -104.34526487,  -72.45798613, -120.24823051,\n",
       "       -147.46446193, -158.09294969,  -84.73113718,  -98.34873531,\n",
       "        -89.88794342, -139.49061969, -147.22648097, -159.53098877,\n",
       "       -125.59065656, -101.41831363, -121.38335144, -116.81503288,\n",
       "        -69.67997186, -125.82619783, -109.08706159,  -81.85104571,\n",
       "       -120.94917899,  -98.16924328,  -73.90126542,  -65.09841701,\n",
       "       -146.14557843,  -67.41464986, -111.2962544 , -134.91731678,\n",
       "...\n",
       "        -73.28473443, -111.76944898,  -70.65022508,  -80.21461915,\n",
       "       -118.05343605, -158.73059986, -133.8635867 , -106.29494432,\n",
       "        -97.0186998 , -134.95334377, -146.92503652,  -76.67204608,\n",
       "        -61.57537975, -107.90529159, -143.66039213, -133.49696002,\n",
       "       -159.14254167,  -68.65582054, -149.10714063, -102.77183597,\n",
       "       -133.32042271, -105.02802175,  -95.20654078,  -77.19607783,\n",
       "       -140.15145155, -159.88942131, -147.17455136,  -70.09811717,\n",
       "        -72.73710217, -100.66127668, -100.3477971 ,  -93.83129587,\n",
       "       -143.28750086,  -68.64439346, -118.70417699, -122.30300865,\n",
       "       -108.58931177, -156.25643736, -144.20537976,  -86.45860474,\n",
       "       -152.63733454, -100.08163694, -136.21973992, -121.68114298,\n",
       "       -131.84193259, -125.07705564,  -88.37636358, -130.99070672,\n",
       "       -103.79313133, -112.91890938,  -93.9692123 ,  -66.38019633,\n",
       "        -87.01021818, -139.29102176, -157.85050336, -134.51133153,\n",
       "       -100.897129  , -155.80599284, -110.86700903, -100.71887226,\n",
       "       -127.24136703,  -83.13786742, -150.23357643, -153.41108404,\n",
       "        -87.45293562, -110.95537706,  -91.47135796, -117.0824388 ,\n",
       "       -136.11339464,  -78.27066591,  -80.25899622,  -90.83565644,\n",
       "       -133.51334114, -101.38670265, -124.54163641, -151.75021059,\n",
       "        -68.35132888, -147.18131828,  -65.02602726, -115.95341693])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>siteid</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;000&#x27; &#x27;001&#x27; &#x27;002&#x27; ... &#x27;498&#x27; &#x27;499&#x27;</div><input id='attrs-6cb0d340-89a7-47e9-a015-32eead73c818' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6cb0d340-89a7-47e9-a015-32eead73c818' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3529771-bd91-499c-84a0-b39e64e06561' class='xr-var-data-in' type='checkbox'><label for='data-b3529771-bd91-499c-84a0-b39e64e06561' 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;000&#x27;, &#x27;001&#x27;, &#x27;002&#x27;, &#x27;003&#x27;, &#x27;004&#x27;, &#x27;005&#x27;, &#x27;006&#x27;, &#x27;007&#x27;, &#x27;008&#x27;,\n",
       "       &#x27;009&#x27;, &#x27;010&#x27;, &#x27;011&#x27;, &#x27;012&#x27;, &#x27;013&#x27;, &#x27;014&#x27;, &#x27;015&#x27;, &#x27;016&#x27;, &#x27;017&#x27;,\n",
       "       &#x27;018&#x27;, &#x27;019&#x27;, &#x27;020&#x27;, &#x27;021&#x27;, &#x27;022&#x27;, &#x27;023&#x27;, &#x27;024&#x27;, &#x27;025&#x27;, &#x27;026&#x27;,\n",
       "       &#x27;027&#x27;, &#x27;028&#x27;, &#x27;029&#x27;, &#x27;030&#x27;, &#x27;031&#x27;, &#x27;032&#x27;, &#x27;033&#x27;, &#x27;034&#x27;, &#x27;035&#x27;,\n",
       "       &#x27;036&#x27;, &#x27;037&#x27;, &#x27;038&#x27;, &#x27;039&#x27;, &#x27;040&#x27;, &#x27;041&#x27;, &#x27;042&#x27;, &#x27;043&#x27;, &#x27;044&#x27;,\n",
       "       &#x27;045&#x27;, &#x27;046&#x27;, &#x27;047&#x27;, &#x27;048&#x27;, &#x27;049&#x27;, &#x27;050&#x27;, &#x27;051&#x27;, &#x27;052&#x27;, &#x27;053&#x27;,\n",
       "       &#x27;054&#x27;, &#x27;055&#x27;, &#x27;056&#x27;, &#x27;057&#x27;, &#x27;058&#x27;, &#x27;059&#x27;, &#x27;060&#x27;, &#x27;061&#x27;, &#x27;062&#x27;,\n",
       "       &#x27;063&#x27;, &#x27;064&#x27;, &#x27;065&#x27;, &#x27;066&#x27;, &#x27;067&#x27;, &#x27;068&#x27;, &#x27;069&#x27;, &#x27;070&#x27;, &#x27;071&#x27;,\n",
       "       &#x27;072&#x27;, &#x27;073&#x27;, &#x27;074&#x27;, &#x27;075&#x27;, &#x27;076&#x27;, &#x27;077&#x27;, &#x27;078&#x27;, &#x27;079&#x27;, &#x27;080&#x27;,\n",
       "       &#x27;081&#x27;, &#x27;082&#x27;, &#x27;083&#x27;, &#x27;084&#x27;, &#x27;085&#x27;, &#x27;086&#x27;, &#x27;087&#x27;, &#x27;088&#x27;, &#x27;089&#x27;,\n",
       "       &#x27;090&#x27;, &#x27;091&#x27;, &#x27;092&#x27;, &#x27;093&#x27;, &#x27;094&#x27;, &#x27;095&#x27;, &#x27;096&#x27;, &#x27;097&#x27;, &#x27;098&#x27;,\n",
       "       &#x27;099&#x27;, &#x27;100&#x27;, &#x27;101&#x27;, &#x27;102&#x27;, &#x27;103&#x27;, &#x27;104&#x27;, &#x27;105&#x27;, &#x27;106&#x27;, &#x27;107&#x27;,\n",
       "       &#x27;108&#x27;, &#x27;109&#x27;, &#x27;110&#x27;, &#x27;111&#x27;, &#x27;112&#x27;, &#x27;113&#x27;, &#x27;114&#x27;, &#x27;115&#x27;, &#x27;116&#x27;,\n",
       "       &#x27;117&#x27;, &#x27;118&#x27;, &#x27;119&#x27;, &#x27;120&#x27;, &#x27;121&#x27;, &#x27;122&#x27;, &#x27;123&#x27;, &#x27;124&#x27;, &#x27;125&#x27;,\n",
       "       &#x27;126&#x27;, &#x27;127&#x27;, &#x27;128&#x27;, &#x27;129&#x27;, &#x27;130&#x27;, &#x27;131&#x27;, &#x27;132&#x27;, &#x27;133&#x27;, &#x27;134&#x27;,\n",
       "       &#x27;135&#x27;, &#x27;136&#x27;, &#x27;137&#x27;, &#x27;138&#x27;, &#x27;139&#x27;, &#x27;140&#x27;, &#x27;141&#x27;, &#x27;142&#x27;, &#x27;143&#x27;,\n",
       "       &#x27;144&#x27;, &#x27;145&#x27;, &#x27;146&#x27;, &#x27;147&#x27;, &#x27;148&#x27;, &#x27;149&#x27;, &#x27;150&#x27;, &#x27;151&#x27;, &#x27;152&#x27;,\n",
       "       &#x27;153&#x27;, &#x27;154&#x27;, &#x27;155&#x27;, &#x27;156&#x27;, &#x27;157&#x27;, &#x27;158&#x27;, &#x27;159&#x27;, &#x27;160&#x27;, &#x27;161&#x27;,\n",
       "       &#x27;162&#x27;, &#x27;163&#x27;, &#x27;164&#x27;, &#x27;165&#x27;, &#x27;166&#x27;, &#x27;167&#x27;, &#x27;168&#x27;, &#x27;169&#x27;, &#x27;170&#x27;,\n",
       "       &#x27;171&#x27;, &#x27;172&#x27;, &#x27;173&#x27;, &#x27;174&#x27;, &#x27;175&#x27;, &#x27;176&#x27;, &#x27;177&#x27;, &#x27;178&#x27;, &#x27;179&#x27;,\n",
       "...\n",
       "       &#x27;324&#x27;, &#x27;325&#x27;, &#x27;326&#x27;, &#x27;327&#x27;, &#x27;328&#x27;, &#x27;329&#x27;, &#x27;330&#x27;, &#x27;331&#x27;, &#x27;332&#x27;,\n",
       "       &#x27;333&#x27;, &#x27;334&#x27;, &#x27;335&#x27;, &#x27;336&#x27;, &#x27;337&#x27;, &#x27;338&#x27;, &#x27;339&#x27;, &#x27;340&#x27;, &#x27;341&#x27;,\n",
       "       &#x27;342&#x27;, &#x27;343&#x27;, &#x27;344&#x27;, &#x27;345&#x27;, &#x27;346&#x27;, &#x27;347&#x27;, &#x27;348&#x27;, &#x27;349&#x27;, &#x27;350&#x27;,\n",
       "       &#x27;351&#x27;, &#x27;352&#x27;, &#x27;353&#x27;, &#x27;354&#x27;, &#x27;355&#x27;, &#x27;356&#x27;, &#x27;357&#x27;, &#x27;358&#x27;, &#x27;359&#x27;,\n",
       "       &#x27;360&#x27;, &#x27;361&#x27;, &#x27;362&#x27;, &#x27;363&#x27;, &#x27;364&#x27;, &#x27;365&#x27;, &#x27;366&#x27;, &#x27;367&#x27;, &#x27;368&#x27;,\n",
       "       &#x27;369&#x27;, &#x27;370&#x27;, &#x27;371&#x27;, &#x27;372&#x27;, &#x27;373&#x27;, &#x27;374&#x27;, &#x27;375&#x27;, &#x27;376&#x27;, &#x27;377&#x27;,\n",
       "       &#x27;378&#x27;, &#x27;379&#x27;, &#x27;380&#x27;, &#x27;381&#x27;, &#x27;382&#x27;, &#x27;383&#x27;, &#x27;384&#x27;, &#x27;385&#x27;, &#x27;386&#x27;,\n",
       "       &#x27;387&#x27;, &#x27;388&#x27;, &#x27;389&#x27;, &#x27;390&#x27;, &#x27;391&#x27;, &#x27;392&#x27;, &#x27;393&#x27;, &#x27;394&#x27;, &#x27;395&#x27;,\n",
       "       &#x27;396&#x27;, &#x27;397&#x27;, &#x27;398&#x27;, &#x27;399&#x27;, &#x27;400&#x27;, &#x27;401&#x27;, &#x27;402&#x27;, &#x27;403&#x27;, &#x27;404&#x27;,\n",
       "       &#x27;405&#x27;, &#x27;406&#x27;, &#x27;407&#x27;, &#x27;408&#x27;, &#x27;409&#x27;, &#x27;410&#x27;, &#x27;411&#x27;, &#x27;412&#x27;, &#x27;413&#x27;,\n",
       "       &#x27;414&#x27;, &#x27;415&#x27;, &#x27;416&#x27;, &#x27;417&#x27;, &#x27;418&#x27;, &#x27;419&#x27;, &#x27;420&#x27;, &#x27;421&#x27;, &#x27;422&#x27;,\n",
       "       &#x27;423&#x27;, &#x27;424&#x27;, &#x27;425&#x27;, &#x27;426&#x27;, &#x27;427&#x27;, &#x27;428&#x27;, &#x27;429&#x27;, &#x27;430&#x27;, &#x27;431&#x27;,\n",
       "       &#x27;432&#x27;, &#x27;433&#x27;, &#x27;434&#x27;, &#x27;435&#x27;, &#x27;436&#x27;, &#x27;437&#x27;, &#x27;438&#x27;, &#x27;439&#x27;, &#x27;440&#x27;,\n",
       "       &#x27;441&#x27;, &#x27;442&#x27;, &#x27;443&#x27;, &#x27;444&#x27;, &#x27;445&#x27;, &#x27;446&#x27;, &#x27;447&#x27;, &#x27;448&#x27;, &#x27;449&#x27;,\n",
       "       &#x27;450&#x27;, &#x27;451&#x27;, &#x27;452&#x27;, &#x27;453&#x27;, &#x27;454&#x27;, &#x27;455&#x27;, &#x27;456&#x27;, &#x27;457&#x27;, &#x27;458&#x27;,\n",
       "       &#x27;459&#x27;, &#x27;460&#x27;, &#x27;461&#x27;, &#x27;462&#x27;, &#x27;463&#x27;, &#x27;464&#x27;, &#x27;465&#x27;, &#x27;466&#x27;, &#x27;467&#x27;,\n",
       "       &#x27;468&#x27;, &#x27;469&#x27;, &#x27;470&#x27;, &#x27;471&#x27;, &#x27;472&#x27;, &#x27;473&#x27;, &#x27;474&#x27;, &#x27;475&#x27;, &#x27;476&#x27;,\n",
       "       &#x27;477&#x27;, &#x27;478&#x27;, &#x27;479&#x27;, &#x27;480&#x27;, &#x27;481&#x27;, &#x27;482&#x27;, &#x27;483&#x27;, &#x27;484&#x27;, &#x27;485&#x27;,\n",
       "       &#x27;486&#x27;, &#x27;487&#x27;, &#x27;488&#x27;, &#x27;489&#x27;, &#x27;490&#x27;, &#x27;491&#x27;, &#x27;492&#x27;, &#x27;493&#x27;, &#x27;494&#x27;,\n",
       "       &#x27;495&#x27;, &#x27;496&#x27;, &#x27;497&#x27;, &#x27;498&#x27;, &#x27;499&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5fea8106-9052-4b7d-9d1c-11b648158ac1' class='xr-section-summary-in' type='checkbox'  ><label for='section-5fea8106-9052-4b7d-9d1c-11b648158ac1' class='xr-section-summary' >Indexes: <span>(2)</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-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9d4e46d6-3b99-41f0-9d6b-a936ac868bc1' class='xr-index-data-in' type='checkbox'/><label for='index-9d4e46d6-3b99-41f0-9d6b-a936ac868bc1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2019-09-09 00:00:00&#x27;, &#x27;2019-09-09 03:00:00&#x27;,\n",
       "               &#x27;2019-09-09 06:00:00&#x27;, &#x27;2019-09-09 09:00:00&#x27;,\n",
       "               &#x27;2019-09-09 12:00:00&#x27;, &#x27;2019-09-09 15:00:00&#x27;,\n",
       "               &#x27;2019-09-09 18:00:00&#x27;, &#x27;2019-09-09 21:00:00&#x27;,\n",
       "               &#x27;2019-09-10 00:00:00&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-08244a6e-0604-427f-902f-0905a1fad8fe' class='xr-index-data-in' type='checkbox'/><label for='index-08244a6e-0604-427f-902f-0905a1fad8fe' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Int64Index([  0,   1,   2,   3,   4,   5,   6,   7,   8,   9,\n",
       "            ...\n",
       "            490, 491, 492, 493, 494, 495, 496, 497, 498, 499],\n",
       "           dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;, length=500))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a172e5dc-b793-4603-8239-f917493e29e7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a172e5dc-b793-4603-8239-f917493e29e7' 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: 9, x: 500)\n",
       "Coordinates:\n",
       "  * time            (time) datetime64[ns] 2019-09-09 ... 2019-09-10\n",
       "  * x               (x) int32 0 1 2 3 4 5 6 7 ... 493 494 495 496 497 498 499\n",
       "Data variables:\n",
       "    something_vlen  (time, x) object 'xicjs' 'cvoaglq' ... 'dzzfatw' 'poqhzl'\n",
       "    A_obs           (time, x) float64 0.21 0.1793 0.1735 ... 0.462 0.118 0.6552\n",
       "    B_obs           (time, x) float64 -0.1099 -0.2269 0.05157 ... 0.1155 0.6365\n",
       "    A               (time, x) float64 0.008033 0.001784 0.2917 ... 0.5939 0.5151\n",
       "    B               (time, x) float64 0.008033 0.001784 0.2917 ... 0.5939 0.5151\n",
       "    latitude        (x) float64 33.73 57.93 48.74 43.14 ... 21.26 58.92 59.42\n",
       "    longitude       (x) float64 -90.49 -106.9 -129.7 ... -147.2 -65.03 -116.0\n",
       "    siteid          (x) object '000' '001' '002' '003' ... '497' '498' '499'"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "an.paired['test_obs_test_model'].obj"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "969971dc-3023-46cc-b7b6-31a246641fde",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Frozen({'time': 9, 'x': 500})"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "an.paired['test_obs_test_model'].obj.dims"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "546f4430-da7f-48ca-b861-00397156631f",
   "metadata": {},
   "source": [
    "## Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "e415521b-1d33-4760-80ec-f81db96496df",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Warning: variables dict for A_obs not provided, so defaults used\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\zmoon\\git\\MELODIES-MONET\\melodies_monet\\plots\\surfplots.py:671: FutureWarning: The default value of numeric_only in DataFrameGroupBy.mean is deprecated. In a future version, numeric_only will default to False. Either specify numeric_only or select only columns which should be valid for the function.\n",
      "  df_mean=df.groupby(['siteid'],as_index=False).mean()\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Warning: variables dict for B_obs not provided, so defaults used\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\zmoon\\git\\MELODIES-MONET\\melodies_monet\\plots\\surfplots.py:671: FutureWarning: The default value of numeric_only in DataFrameGroupBy.mean is deprecated. In a future version, numeric_only will default to False. Either specify numeric_only or select only columns which should be valid for the function.\n",
      "  df_mean=df.groupby(['siteid'],as_index=False).mean()\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: total: 5.3 s\n",
      "Wall time: 5.31 s\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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+NG3aVKPSx59//sl7772nMW9BQQF///23RlvXrl3x9/cv+zs+Pp7HH39cS3Dw9/enU6dOSKVSjhw5onEdpaenM3HiRM6cOVOlm/49RYKJiQn9+/fHzc2NhISEst9xTfDy8sLPzw97e3vs7e0RBIHExESOHTumcT9UKpUsWrSoxmu99tprOu/PXbp0ISQkhJs3b7J7926DlmrKzs5m3LhxWiEklpaWDBkyBBsbG44fP64VArV+/Xp69erFc889V+UaycnJKBQKhg4dir29PX/99ZeWkPzDDz/w7rvvIpfL9d57p06dmDNnDtnZ2axcuVLjmJubG+PGjdNoe7BiwqlTp5g/f77WnCEhIbRt25aioiL279+v4c4dGxvLrFmzNO5hJ06c4MaNGxpzODg40KdPHxwdHSkoKCAuLo5Lly7pTJw7c+ZM0tPTOXnypFZemf79+9O8eXONtvJ/G4q0tDTs7e0ZMWIEaWlp/P333xqK7sTExLJnTUBAAL169SI8PJzjx49rzHPs2DHOnz9PmzZtNNoff/xxrdAQqVTKgAED8Pb2Jjo6mv3792usGRUVxTPPPKOlSHzuuec0QiSgNMytX79++Pr6cu3aNQ4fPqz37+SJJ57QKidsbm7OgAEDcHJyIjIykkOHDmkcX7BgAT179qRt27Z6rSEiUh22bNnCt99+izsWTMC30r5TCCCGbJYuXUrv3r2rfB8XEamQBvUzEBHmz5+v5SoWEhJS4/kuXbqk02Xt0qVLeo1v3bq11tj58+dr9NHlcrl48WIhOTlZMDc3L2uTSqXClStXBEFoePd+QRCEhQsXVsvNskOHDsKxY8cqXNtQ7v0PUl3XwaVLl2r1nzFjhoYbmFqtFubNm6fVb9myZWV9EhIStI5v375d55q3b98WfvjhB+G7777TOlYX50QXubm5gq2tbZWunVFRUYKjo6NWv2+//Vajn67rDhBeffVVjX7nzp3TuMbv/fvjjz/K+pQPk/Hw8NDp2qxSqYQzZ84Ir7/+unD58uUanYeAgACtvcycOVPDNfvu3bs6+5X/bK+//rpWn7CwMI0+GzZs0OpT3hX22Wef1erz1ltvaYQXFRcXCxMmTNDqt3XrVo25Kgp98fX1FW7cuKHRNycnp+z/+rr3Hz58WIiJianw/Obm5gqdO3fWmEcikQjp6eka/fRx709NTdUZgvHxxx9r9Nu5c6dO9+qa/o50hW25u7sLcXFxZX3UarUwd+5crX5NmjQRlEqlxny67lEWFhYa10psbKxOV/Lz58/X6DNUJ3ziHoMGDdIa8+OPP2r0ycnJEbp161bpPsuHhpmamgopKSk61wwPDxfef/99nSE0+l6ThkDXd9S0aVPhzp07ZX1ee+01nb+tgQMHCkVFRYIglF4XQ4YM0erzxRdfaKx37NgxrT4ymUzYs2ePRr/NmzcLEolE6/f04P3v8uXLOvf1559/asz1ww8/6OxX/hlw8uRJrT4hISFa36GuvY0aNUqvcysiUh3i4uIEM2SCMVLhAzrqdOsv/28x7QUZEsEK4wrDkEREqkJ0729gdFn6LC0tazxfRe5w+tb5tLCw0GrT1xrp6OjI7Nmzy/6+Z+1vLLz33ntMnTpV7/6nT5+mZ8+eFSbX6tWrF4IgaPwzRBKm6lDeqm5mZsZXX32lYU27l0SqfHjHxo0by/6v65qryDXbzc2NWbNm6WUBrCsOHjyoYb2GUitfefc3f39/Fi1apDV+69atVa7h6urKBx98oNHWtm1brcSZgIaLf/lzWVhYqDMJnFQqpV27dnz00Ue0aNGiyv2UJzw8XCsBl6WlJV9++SVGRkZlbU5OTjqrfJQ/B7qSK65bt07j7/IWOVNTUyZMmFD2tyAIbN68WaOPp6en1vUnl8t55513tNZ78JqsjF9++UUruZuue1dV9OjRA19fX3Jzc9m9ezdffvklb7/9NvPnz+fll19m0aJFWuEdgiBw4cKFaq914MABrRCMwMBAXn31VY22wYMHM3bs2GrPXxHlvw+AJUuW4OHhUfa3RCJh6dKlZZ4f97hz545eIT/PPPOMhuXXy8uLgQMHavWrr2RU2dnZWsneunfvztNPP63RZmFhwRtvvKE1/sH7avnfs0qlqjA8Izg4mDfffJM+ffrUdOt1xuuvv46rq2vZ37q+H4DPPvuszGtJIpFo/L7vUf571HWNTZs2jf79+2u0jR49mpEjR2q0CYLAtm3byv4uHy4FpZ5k5fcxa9YsvTzGyj8jAT7//HMcHBy09lbew7K8p5iISG0pKSmhr2cr8ilhKoG4Ssz1GucpsWQCfmRTTF+X5vUe3ibyaCAK/Q2MtbW1VlttYoGtrKx0tuv74CrvUge691gRr776qsbL94YNGwzqqlobZDIZq1evZvv27fTs2VOvbN8lJSU89dRTWgJmY0ClUnHu3DmNtvz8fCwtLbUyN1taWmo9JE6fPl3WZmlpqfXC88wzz+Dm5saAAQN44YUX+Oabbzh+/LhBMs3XljNnzmi1DRo0SGfeiqFDh+o1vjx9+/bV6Yqsq5rDg0Jg+Rf+5ORkvL29admyJePGjWPRokX8/vvvesewV4Suz9CzZ0+dwu/AgQM1FAEA0dHRGmEIgYGBdOzYUaPP+vXry/6fm5urFU4xevRojXvOzZs3tdy64+LikEqlWtekLjdmfeLlvb296dGjR5X99CE5OZknn3wSBwcHBg0axMsvv8z777/P559/zpdffsmXX36pU+itKDa6MnQpCgYMGKDzPlRRxZDqUlJSwvnz57Xadf0mjI2N6devn1a7Pr8VXfH/DwqY96gsRtuQnDt3jpKSEo22o0eP6qyEMmTIEK3xD16HXbt21QgFKi4uJiQkhMDAQEaNGsWCBQv45ZdfuHLlSqPOC1PeJdjFxUWrT5MmTQgODtZo0+d71HWN6LrGKmp/cLyu30lFCoqK2h+kfEgFlN7bdV0L5X/rxcXFhIWFVbmGiIi+vPvuu8SQRSec6Yr2b7Ay+tKU1jhwhXS981mIiDyIKPQ3ME5OTlptN27cqLEWr7z2+h4PxupWhq5+Fc1Z0fovvPBC2d/VtfbLZNVLM1HRS1Zl8wwdOpRDhw6RmJjI2rVrmT17Nm3atKkw0WF2drZOS0ZDk5aWVittb3FxsYYyY9myZZiammr0uXPnDnv37uXbb7/lxRdfpGvXrjg5OTFnzpwGVYToip11d3fX2VdXe2ZmZpXKi4rma9q0qVbbg0JgcHCwVh4GlUpFeHg4mzZt4sMPP2TatGn4+fkRHBzMb7/9Vuk+KqI658DExERnMsvyc5S39t+8eZOTJ08CsG3bNq3cEeX769pTddCnXFarVq1qtcY9MjIy6Nq1a4WlDCujJtY/Xd4euq6lytqrS3p6utY9wtTUFHt7e539dV0/+iSw8/T01GrTlTOjvqxThrwO7ezstErXCoJAVFQUf/31F59++ilPPvkkLVq0wNvbW+/EovVN+e9W1/ej6/u/Z/V/kPLfY23vxw9eY4b+ndTHPUlERB8OHDjAB0uW4IQp0wisdplZiUTCTJphi4I3Xnu97NksIqIvotDfwOhyT8vOztY7w3h5XF1ddWrw9bHWxMXF6XxAVjeRzSuvvKLhErlhwwbCw8P1GqvLq6CyF+yKjtna2la5lrOzM4899hjffPMNYWFh3L17lw8//FDLIgpoJbl6VHjQq6RLly5cuHCB6dOnV+rdkZWVxVdffUWfPn1QKpX1sU0tdCl7KnqAVre9quP6rL1s2TLWr19Pt27ddF5P97h69SrTp08vS4BZHapzDvTlscceQ6FQaLTdc+kv79rftGlT+vbtW6v1yqOPl1N1PI8q48MPP9RK7qUvhrLoVucaqwl1cY3oQpcSobLrvrFT/jqcO3cue/fuZeDAgTqF4HvExcUxd+5cXnrppbreYrUpL+Trug6qSm5aEXV9ndX176Qy6qsKi8ijTUpKCmP6DkaKhGcIxlRSszzqFhI5s2iOGoHhnXvrVZlEROQeYvb+BqZLly5YWFhoPVi++uorfv/99xrN2bt3b9auXavRtm7dOt56661KH8S6Mu3L5XK6du1arfXt7e158cUXy6wjgiDw/fff6zVWlythamoqBQUFWlZoKM0UXh4LCwvMzfWLk3oQBwcHFi5cSGxsLD/99JPGsfIWzsaAvb09UqlUw+piY2Ojs/xaRZSPVw0ICGDVqlWoVCquXLnC1atXuX79OleuXGHXrl0aD5gLFy6wceNGJk2aVOvPUl10ecjouhYqarexsakyi3hF8+nKdaBL6Bk/fjzjx48nKyuLCxcuEBkZSUxMDGfOnOHw4cMaL6zvvfcec+bMqVSgKE91zkFRUZFOhV5567+NjQ0jR47UcOvfsGEDb7/9Nrt379boO23aNC3vGF178vDwYPTo0RV/kGpiKGHir7/+0mp74oknmD9/Pr6+vmX3m4ULF7J06dJar6frGrl165bOvvqUOtR3zfL3iPz8/LJM7vrsR9d32tjRtecWLVroraSys7PTauvXrx/9+vUjPz+fixcvEhERQUxMDOfPn2ffvn0aCtDly5ezcOFCg3lsNHacnJy0SsbGx8frrEJU1TVm6N+Jk5MT165d02h76qmn9H5HaNasmV79REQqY9asWWRRzGP44S3RHYarL4ESW0YK3mwllqeffpqFCxdq9XF1ddX5Pi3y30YU+hsYY2NjnnnmGT777DON9j/++IPRo0dXmdCppKSEsLAwDY+Bp556Skvov3btGj/++CPPPPOMznkSExN1WhsnT55cIwF6/vz5fP3112Xl5/R1h23VqhUmJiYUFhaWtQmCwMGDB3XGXpZP1gSlZZ7KExsby/Hjx3nssceqtEDpemHU9RJYF+jam0ql0tluZGRE27ZtNbxCsrOzef3113V6e+g77725W7VqpeFKHR0dTUBAgEa/U6dOaQj9Fe3f0Oh6mfznn39Qq9VagujOnTv1Gl+e/fv3o1QqtZQD5YVfoNLyjtbW1vTs2ZOePXuWtb355psaSQJzc3O5evVqtcpE6voMR44cIS8vT+s3u3v3bq3vwd/fHxsbG605pk+friH0JyQkMH/+fC0XeF2J/zw9PXFyctJw183JyeHjjz/W8iDQRX26RZdXkFhZWbFixQqt60dXTHBN0PXd7t27F0EQtBQZuq6xmiCTyWjTpo1W7o+dO3cybdo0jbbi4mKd99Oalo81JNW9r7Rp0wYjIyONPoIg8MUXX+ilNKpsbjMzMzp37kznzp3L2n7++WeNJIFqtZqzZ89qCP31dW9sCNq3b8+RI0c02nbu3Knz/aWq+3Hr1q21DBB79uxh3rx5WuP27Nmj194OHz6s0TZgwADGjx9f5djKnpEiItXh4sWL2GBMf3SHvVSXYXixh1scOXJEZwLcxYsX60yWK/LfRnTvbwS89tprOt3RH3vsMT755BOdscdKpZI1a9bQunVrvvvuO41jffr00Zno6sUXX9SqdQwQERFB//79tWK0jY2NdWY21gc7O7sauTgaGxszePBgrfaFCxeSnp6u0Xbu3Dl++OEHrb7lswNDaZzg1KlTCQwM5MMPP6wwi/SNGzd0xliHhoZqtR06dEgrEZAuQag66ErCdq9evC7GjBmj8bdarWbcuHEVZpfOzs5mw4YNDBs2TCtOdcaMGaxfv77Cag26YnvLC4LV3X9N6d27t9ZvJiYmhvfff1+jLTo6miVLlmiNHzVqVJVrJCYm8uabb2q0XbhwQev3Bmhcs6dOneKll17i1KlTFcYw64oTrW5ceYsWLbSUMNnZ2cyZM0dDmEhOTtbKEA8Vn4OBAwdqWQjK3zc6d+6stTaUWuHLz5uRkcHkyZMrdENMTU3l119/pWfPnjX2bqoJ5b0qcnNzNZIrCoLAZ599xsGDBw2yXp8+fbQUHxEREXz++ecabXv27NG7ioE+lL9HACxatEjDeioIAq+//rrWdenq6qpXhvS6Rtd9JSYmpsLwImtray2r/pUrV3jppZcq9Nq6ffs23333HaGhoRw9erSsPT4+npkzZ3Lw4MEK19Pn91xf98aGQNc19ttvv2kpkbZs2aJVNUQikTBixIiyv3U9/3fv3q2VhX/FihV6KeR07e2FF16oMIRSqVRy8OBBZs2apddzQkREX2RIDeapJpVIMEKCvb09586d0/pXkYFP5L+NaOlvBDg6OrJx40YGDRqk8VJRUlLCa6+9xkcffUTPnj1p0qQJhYWFxMfHc+rUqbKQgHbt2mnN+fvvvxMaGqrh0qtUKpk5cyYffPABXbt2xdTUlMjISI4eParT4vD111/rfLHXl3vW/upmbF6wYAFbt27VcH++dOkSfn5+DBw4EDs7O27evMmePXu0MjQ7OzszY8aMCue+fv06ixYtYtGiRXh4eNCmTZsyy35sbCyHDh3SmtPOzk4r83Fd4e/vz6VLlzTaBg4cyKBBg8qypHfv3r3MgvLCCy/w5Zdfarx0Hjt2DE9PT3r27ImnpydyuZz09HQiIiK4du1a2TVW/rrZu3cvq1atQiaT0bx5cwICAsrcg+Pi4jhw4IDWfstfH35+fkgkEo3vLiwsjK5duxISElImaM2fP7/CRE/6YG5uzquvvqqllHrnnXfYtm0bHTp0IC0tjR07dmh5mXh4eDBz5ky91vnkk0/Yu3cvHTt2JDk5mR07dmi9zLu5uTFu3Liyv3Nycvj666/5+uuvsbGxoWXLlnh7e2NpaUlBQQFhYWFaGaqlUim+vr7VOAP3P2/5zOkrVqzg33//pWfPnuTn57Njxw4thZ6lpSXz58/XOaeRkRFTpkypNDtwZcqtN954g9WrV2sIV5s3b+aff/6hV69euLm5IZFISE1N5erVq0RFRZUpRyr77Rqa0NBQDh06VPa3Wq2mXbt2DBkyBHNzc06fPm3QXB729vZMnjxZS4HyyiuvsGXLFlq1akVcXFyZx4qheOGFF1i2bJnGs+DWrVsEBwczdOhQbGxsOH78uNZ9B+Ctt96qdnLVusDW1hYHBweNhJlJSUm0b9+eTp06lcWiz5gxg5CQEKA0S/a+ffs0zuU333zDH3/8Qffu3WnSpAklJSUkJydz5cqVCqtpFBcXs3LlSlauXIm5uTktW7bE19cXa2triouLuXr1qs6qE+Xvjf7+/lp9vvrqK65fv46HhwdSqRSFQsHHH39c/RPUwHTp0oUBAwZoWN5LSkoYOHAgAwYMwMfHh+joaPbt26cVhz9+/HiNkqUtWrSgd+/eWsq28ePH079/f3x9fYmIiNBbGde5c2cGDx6sUQowOTmZ9u3b0759ewIDA7G2tiYrK4vr169z+fLlsnerB72zREQaIzKZrNp5t0T+wwgijYZt27YJNjY2AlCtf9OnT9c539mzZwU3N7dqzyeVSoUPP/ywwn0uXrxYa8zixYt19n3rrbeqvW9BEIR33nmn2vuWy+XCwYMHdc535syZas9379+KFSt0znnw4MFqfSZ9WLFiRZX7mT17tsaYY8eOCSYmJtX+XOW/s+peK9bW1kJiYqLWZ+jevXuVY8+cOVOr8yQIglBSUiIMHTq0Wns2MzPTufbKlSu1+np4eFQ5n0QiEbZv364x1969e6v9XUycOLHG5+HZZ5+t1lpGRkbCtm3bKp0zPDy8wvEmJiZCZmZmpeM3btwoSKXSap+HlStXasxT09+YrntU+bk3bdpU5X5kMpnQp0+fKueKjY3V6tOzZ0+tfSUnJwtOTk5Vruvu7l6jz10Rhw8fFoyNjav1XUyYMEFQq9Vac3l6emr11YU+30F1mDZtWpV73rBhg8aYzz//vNrXIKDxHImOjq72+E6dOmntPzs7WzAzM6t0nLm5eY3Pz4Po8x3pe83q+xtMSkrSuW5l/wICAoSMjAytua5du1bluarod6LrXSQ5OVnw9fWt9veo63zoe/2LiDyIt7e34ICJ8Iukj8H+WSIXWrZs2dAfTeQhQnTvb0QMHz6cc+fOMWbMmArLx5VHoVCUWTbKExoaytmzZ5k0aZLe8wUHB7Nz506diUFqwrx582qUbXvx4sV89913Ol0ideHl5cWhQ4fo1auXzuN2dnY6LS2VYWFhwY8//qi3VdgQTJ06tdoxtF26dOHEiRNa9ZUrw8XFRav0WXXczhwcHNiyZYvO3AEff/xxjbNAVwcjIyO2bNnCnDlz9Iq7DAoK4vjx4zo9Y3QxY8YMFi1aVOF5kclkfP/991p1p6vrvte3b1+WL19erTEP8t133/Hhhx/qFTPfpEkT9uzZw/DhwyvtFxwcrDOkBUrDAqr6TY8dO5a9e/fi4eFR5Z7u4ePjU+3faG0YM2YMr7zySoXHjY2NWbFiBd27dzfYmo6OjuzZswdnZ+cK+9T2etBFjx49OHr0qF7eJDKZjNdee401a9bUSab/mrJ48WK9qrI8yNy5c1m3bl2FJQp10bJlS5o0aVL2d3XPQevWrTVyYtzD0tJSZ6jRo4KzszMnT56kX79+evUfOnQox48f15lXJCgoiL/++ksr0eyDTJ06lcWLF+u1lqOjIydPnqyWu76ZmZlBf/siIiIiDU3D++2JaODj48OmTZuIjo5m8+bNHD58mMjISNLS0sjNzcXc3Bx3d3datmxJv379GDlyJA4ODhXO5+Liwpo1a3j33XfZuHEjBw8eJCoqirS0NIqLi7Gzs8PV1ZWuXbsyePBgBg8ebNAXPRsbG15++WXefffdao997rnnmDRpEr/99hsHDhzg4sWLpKWlUVBQgKWlJS4uLrRv354hQ4YwduzYSt1QfXx8iIqKIjIyksOHD3P69GkiIiK4efMmmZmZZdUB7O3tadmyJX379mXq1Kk6a5vXJcbGxhw8eJDPP/+crVu3Eh0dTW5ubpWliVq3bs3ly5fZuXMnmzdv5tSpU9y5c4fs7GxMTExwcHAgICCA9u3b079/f7p3764lKF+8eJG9e/dy/PhxLl68yN27d0lJSSEzMxOFQoGTkxPNmzdn0KBBTJ8+vSzcoDydO3fm9OnTfPrppxw9epTExMRqx6vri1wuZ9myZbz44ousWLGCQ4cOERMTQ2ZmJiYmJjg5OdGhQwdGjRrF2LFjq52UacmSJQwcOJCvv/6aY8eOkZqair29Pb1792bBggU6FW59+/YlPDycffv2cfr0aaKjo0lJSSE1NZXCwkIsLCzw8PAgNDSU8ePH64xhrQ4SiYSFCxcyY8YMfv75Z/bv309ERATp6enIZDIcHR0JDQ1l6NChTJkyRS/lAJS68JdPAHevXR/69OlDTEwMmzZtYvv27Zw5c4a7d++Sm5uLmZkZTk5OBAUF0bFjRwYMGEDHjh2r87ENwqeffkrPnj35+uuvOXPmDPn5+bi4uNCrVy/mzp1LSEiIwZMhhYSEcPXqVT755BO2bNlCfHw8pqamtGjRgunTpzNz5kytxGOGoEOHDkRERLB+/Xq2bdvGmTNnSE5OpqioCFtbW/z9/enVqxdPP/00np6eBl+/tvj6+hIWFsYnn3zCvn37uH37tl5VVSZOnMjw4cNZs2YNu3fv5ty5c6SmppKfn4+5uTlNmjQhKCiIrl27MnDgQFq2bKm17vXr19m7dy8nT54kIiKClJQUUlJSypJmurm50bp1a0aPHs2YMWMqvM/MnTsXPz8/li9fztmzZ0lPT9cKJ3uYcXFxYe/evRw5coQ1a9Zw7NgxEhISyMnJwdLSEnd3d7p168bUqVM1EiHqol+/fly5coWlS5eyc+dO7ty5g7W1NW3atGHWrFmMHTuWVatW6b23e4rqCxcusHr1ao4dO0ZsbCyZmZlIpVJsbGzw9fUlJCSEvn37MmDAAL2NDiIiIiIPAxKhKmlCREREREREREREREREpNr4+PiQE5vIJ5IuBptzjnAUr5ZBOvOxiIjoQnTvFxERERERERERERERERF5RBGFfhERERERERERERERERGRRxRR6BcREREREREREREREREReUQRE/mJiIg0CI8//jinT5+u9rj9+/fj5uZWBzsSERERaXiCgoKqPcbNzY39+/fXwW5ERERERB4FRKFfRESkQYiPjycyMrLa45RKZR3sRkRERKRxUJP7YmFhYR3sRERERETkUUF07xcREREREREREREREREReUQRLf0iIiINwqFDhxp6CyIiIiKNDrGSsoiIiD6UlJQQFham1e7q6oqrq2sD7EikMaO30C8kfV+X+9CJUqnin4NX2bb7IgtfGoSPpwMlJSo277xARMxd3p43RPfAu0l6r/H9n2fxcrNmcDf/srY1Oy/z5R+3mOk+kcdb7NU5LujHUDp2OMOq99tjZiqv1ucSqT3DXpjC6g83YWul6dIYn2jNgi8GsO6TDQBk5RSydtdlnp3QviG2WWes3RXOpMEtGnob/2kEQWDtrnAmD2lZtws5u9Tt/HXI2i1nmDT64f/tSWzEHBK1oUj+cNsX9u09T+s2Pjg4WNfZGjnKFI2/Z47rxoZ3/sBYrtLqeyfZkkV/DOH/lp+ps/00JpLySyo8JgiQk22MXK7iZowNm35tTmqSOeaWxQydGEnnXglIJPW42XIUFhjx/vyLlBS3wifQkzHTknB0KTDY/HG5xjrbBUEgNyuP29cTyUjOxLeFF87ujgZbtz4Z6jGtobdgEGQyCe7uCoPNZxQnIS0tjdDQUK1jixcv5p133jHYWiKPBo36SSyXGzF8QEvatnRn6z8XcW9iS0paDrv2X0FWUsyceavo08GLkb2rn/TmHjNGtWbVtgtcu5FCM5/SG+LkIS2xsmjBp5/H0tY5hxaOlhpjtkdnUKQ6zf6TBRQUqUShv56Ju2ONq2OOlsAP4OGaRYlKSk6eMZbmxeTmF+PlZtsAuxR51JHU15tkZUrMh1gh8DAhZCZo/C0qAaqHQnlfaHvYFQB1haW89P3jnvDv5ZvLpShn2gXf0ep7MdoZT9/cet1fQ+JiVnrN6BL+JRKwsi5m6x8BXDzmxeLFN/APyOPuXWOWfeHLqUPuvPzOyQYR/HOy87kRmciQcdC1jxqINfganhbFWoL/P2sPIpPJsHW0xtndEd9gT6IuxRJ+OhKZzKj0pAkC9q522DpaY+tojZmFqcH3JlL32Nvbs2vXLq120covoovG//S9m4SbFJ7u70dRcQmfnbxK2t0M9iyfSvj1ZNbsvMzI3kH8vDmMiQODsTSvnhbNRCHj2fHt2HfyBucjkpg4MBgjIyk92hbzqlLGPzekxGTcxVQmxdhISlJeEd+dsyLUS0ZCloxLUT707qD9UBapO7LzFDjY5ld43MaqgPxCOZbmxbg5W7HlYEQ97k5EpB6pSCHQSJQBj6qXsqgEqDmiAqBy7gn/zzyXwVsv92TDR+uQSu//kJRKKcvWdWXZ6v+Glf9BKhL+U++acvQfP7ZuPY/0f5mqnJ2L+WhpNAteDeDMv6506J5Yr3vNyc5n+/qTePg40bVP3XrleVoUA/et/l0Ht2fj9ztIv5uBQxM75Ao5LToE0qJDYNkYQRBIuZNGZmo2CTcSycsuKL1hSySYmisI6RqMqblJne5bpPbIZDLatm3b0NsQeUhoPE/cKlzyjeVGGMuN8G5ii3l3Y2QyKW2CXNm8P4LV2y+xcusFHh8eQlZOIZdjkjFVyAht3kTv5ft18mHfyRss/eUYi57ujlwmZeSAaP5vjSN9PJvSzC4ON0t3fg23IEcVwwjv22y7JOevQ5fp3cGenLwiftwUxpzJHZHJSp86R87FYWNpQqsA51qdGhFN/NzTuRipW6hRqSTE3bHB8QGlgFr9iEoeIiIVoet+2kgUAY8iohKgZogKgIrx889n6Ph8xiyYytxJRwjySuVilDOfr+3OtBdicXL+72brLy/879zox/PP3SoT+B/k5blxzH8tsN6F/vjrybTvFohfUP3dC8qEfyyYsXAigiBwPTyOQ1uOAyBXyAnp2hxLGwvUailxUa24fs0Ge6cCug2+hal56fnMy87n/NFwstKyMbM0o1XnZtg4WNWfd5uIiEidUP9P2WrE2+ti+ogQbiZk8uOmMBxszLC3NsXNyZLuoR6Mf2UDZiZygv0cCfCwr5bQD5CZU4iTnRlRcWkEeNqzdE57zl4YiLHkI8Jz+nI2M4Hn++dhalyCt4MrsdkLSE5/hyGz72Juasy0Ya3KBP4btzN44q2/CN/0XK0+78OKcCe5zuY2ATr6RLFic2ueHHNB49j/rerM6HZnkCTdRQDWHY6hm7tNne6nPpE0cWroLYg8wEP1EtTIvQIeJUQlQPURFQDaTH0iiR59MvltRSd+O6TA27+Qz389g7PLf1fgf5B7wn96shne3mk6+zRpUkR2Rv1brMPPxzLisS71vi5oWv79Wnrh19ILgKLCYsIOX+ZWjIrD/zyNbYgUC98MImLN2Dq1D5NmXaPb4FuYW5nRZVA7AJTFJVw+eY20pAxkchmBbXxp4iUaskREHkbq7slaS+G+MrzcbHhmXCj5BUpKVCp+2nyepXP61Xrecf2b88OGszz7/na6t/UgI6eIWRObEXbkaZzMFhOXlsfWC3l8+VhbVp+EWzmJzBzkTHaeDc+OL71BfvfnGU5cuk2/Dt4serr7QxPv/7AJxYsm7GDBynFMPDaG4X2iKSmR8tf+AFp7xvHqY4fL+tmaGxOdkEFMQibje/g14I4Nw73vScjIMsh3JioRRESvgLrnQSWAqAComnsKAFH4Bw+PQt589+YDLZaApVbiv/8yIa2yOH3KmsCgPK1jFy9Y4uaVVe97MjM3wdTMcEnbakL5eH+FiTEd+rZjzfJ+2HT8Ggs3UxyatwDSaNLlNuu/bYenXxbu/tllY+TGMtr2uJ+s9uzBi9yKTqBN9xYYm+hOIigiItI4qf0TtQ6F+6owM5UjCDKc7Mx569uD9Az1pKBIiYONGRGxafRs58mN2xn07eitt0XumfHtMDMxZv/pWJ4dH0qnVteIju3K+n0TCHQ4irEsnS8OTeJ6dghvPLecxBSQGUnZfiSKvh28ibyZhpW5guISNeblBP5v1p3mhcc61MWpAB4+wb02GBkJfPbUBpLSrThwMRATqZqfnl+FvZXmQ39gOw/uZuRzLkZ8QdJFTa+Zh0FZEB7jxI/r2xCbYIO7SzZPjbtA22b16+L50GIArwBBEBo0a3ZjRfQC0B/R+l8x5RP//ZcZOTaWKaMHMmJUMtbW96+ZkhIJ77/vw6yFJ+p1P9cj7mDvZFWva1ZE+Xj/E3ubYtvmLh792xN/5BDK/DzkZuZIZQKeoyPZ+EsQcz86XeF87XqHcPt6Iif2hFFSrKTzwHaYWYpJAEVEHgaq9xRtQAG/MkyMZQzs4ktufjGXopJJTM1BrRYoUpaw82g0vu62nI9IYkzfZnrNN214K6YNb8W+kzf4Y8dlvD0vM2WsguS04ZjIm9Kz4126tl6PRGIH2AGQlpnPjqPRTBnSko9XHuMiSXg3teX05QRa+jtx7loiYVerJ3D8l4T4muJil83k3pUnNHK0NiU+OZcT15Lo3Ey0YBqC6l6b9a0k+GljGw4cc+eN8TsJ9rxDVIIzH68cRMtgD+ZNP2WwdUwVMvILlA+NR0+tKf8MqEQJIAgCl66WCrgqlZqenf1xd7Ory909lIheAPohKgB0Iwr/YGamYvGHpxg3pgOTJiXSrn02MTFm/PiTGyMmX8Xbv/aWfkGAqxccSLhlQVPPHJq1SkMigcKCYnKzC0hKSKewUElmWg5GMiN6D25d+w9mQO4J/ysu2WHlXxoK4dquA/GH9mNsaYWRQoFDcEtibwVWNg0ATX1daerrSl52PpdPXqMgr5DiQiUm5gq6DGqHTPx9PhLs3LmTzz//nLCwMIqKiggMDGTGjBnMnj0bqa4EGpWQk5PDF198wZYtW4iOjqa4uBgXFxe6d+/O/PnzdSYjzMzMZPfu3Zw+fZpTp04RFhZGQUEBffv2Zd++fRWuVVBQwD///MPp06c5ffo0Z8+eJTs7G19fX2JiYqrc6+bNm/nuu+/K1nN3d2fMmDEsXLgQa+u6K9taH0gEQb/8ysLFxXW9F4OQmpHPiq3nSUjOIS+/iGA/J46GxdPCz5H3Z/f5n/WpYvOTIAgkJOfQ1FlTS1tSouZCZBKLvzuERxNrJg4Ipmtrd+RyI605iopLkMuMeP/HIxw5F4eFmTHuLtYsfqYHDoXa7mci9cO2kzcxkkoY2sGzobdSa9YeimZSL/+G3obBMYRy4GaCDfM+6sPGhcs1LM2CAE98MYMFz56hhZ9hFGonL93G2d4cb7Es5H0eUASs3XKGSaPbIwgC3606wuwZPRtwYw8fohKgaupDAbBv73lat/HBweHheOH7ryoACgulbN/iSUyULc6ueYweH4uNbbHOUn/VITbamk8XdcLfP46M9HVkZrqSeMeSIeMicHVXYW1jjoubHaZmxpiYGmNjZ1GjdVQqNaoSFYIA2Zl5pKVkEx+bjLJYda/KHpbWpji52GBrb4mNnQUKk+opnFd935xj2eDS7q5GuzI/j8QzV0k5aMfLH+Xg19IbI6PqCXZ52fn8vWov454balDBf6jHNIPN1VD4+PhQcCuJ1e69DDbn+Lj9uAcHcunSJYPNeY+lS5eycOFCoHTvFhYWhIeHo1arGTFiBFu2bNFb8E9OTqZ79+5ERUUhlUrx9vbGwsKC69evk5ubi5GREatXr2bSpEka47Zu3cro0aO15qtK6L9w4QJt2rTRatdH6H/++ef5/vvvAfDw8MDJyYmIiAhyc3Px9vbm2LFjD3U5xEdOHedga8ZrM7oC8MJHOzlx8TYDOvtyOjyBsfPWM//xznRp7V7h+KJiFc9/sINtX2lefDKZlHbBTdjx7WQKi0q4fiudX7ae51J0Mr3bezHU3wYT49LTeS/KSV5QwLTu3ozo6IWtpQJEgb9BGdHJiy3Hb7DhaAwlKoGRnbwwq+YDU6Ru0deDoDLlwKqtIcwduVfLtVwigfmj97BiUy++eG1vbbZZhou9BXdSckSh/0Ee9AbIyoK7SUicXbC1Nmu4PT2kiF4AVVOb+P/ICHM++diX1BRjJBKwtCxh7vwbtA3NrnpwI+a/av03MVEzblIsEKvRXlGpP334+oOdnP13Ec5OEykukvH1j9NQKOQkJpgxa8Y4vvxjD2bm1Z+3IL+Iy+diuZuYAQJIjaRIpZIyQ5KltRn2Tlb06N8KE9P7sfNZGbmk3M3i1s0ULp+7QUFBMRKJBHMLE7r1a4G8it/B8HE3+GtGL5xD72o8I+Vm5qiyJjHlxVTMzE9ybOdpVCVqEARkxjI8A5piaWOOhbU5coXu9yZzKzOGTe/H36v2Mmx6f+TGj5yI8Z/gxIkTvPHGG0ilUn7//fcyYfzixYsMHDiQbdu28fnnn/PKK6/oNd8bb7xBVFQUgYGBbN26laCgIADy8vKYN28eP/74I88++yxDhw7Fyuq+wdXU1JQePXrQoUMHOnToQExMDG+88UaV68nlcjp16kT79u3p0KEDSqWSmTNnVjnut99+4/vvv0cmk7F69Woee+wxAHJzc3nqqaf4888/mTp1Kvv379frczdGqvWLvBjpzM7jpV/W0K4RtAq4W8WIhmXJ7D5IJDDh1Y0E+zkyZ3JHWgdV7t59OjwBn6aaLqjlBREF0NwMksyNuFpYSNTlOOIibjNvbGuNfp2CnPn9QBQ3ErNp6W2HjbmCfm2aGuKjidSQ0V18ALibkc+aQzE83jcAYx3eGiKNm8qUA7fjFPj11P2y698kmYS7hou1dLY353xk4wx7amg0YvrvJmGhzCcz+iY2ViZiosAaICoAKqe67v+XL1ny+oIgvv4uHB+fAgDu3FHw4vMteHneDbr3yKizvdYX/1XhvyJczGR6C/73hPK9f8djaz2XkWNbYm1rjuJ/Aq+rWz5Tp0eza7MPY6dFVTlfTnY+p49Gkp9biEQqwcRETou23nToHlStz2Bta4G1rbYnQVpKNvu3h1FYoMS1qR0dugfp9Gq1dyxk3OibbP05BI/RUZg5FKAskJFwwAPzbDO6DLqFVOqGu//9e4yySEl8dALx0XfIzsihRKlCrVZj62hNTkYuRjKj/3koCEiNpKhVpcoCkYeTJUuWIAgCTz/9tIb1PSQkhM8//5wpU6awdOlS5syZg1xeteFsx44dAHz66adlAj+Aubk53377LZs3byY1NZVjx44xePDgsuMDBw5k4MCBZX+vWrVKr/0HBwdz4sT9PB6HDh3Sa9wXX3wBwFNPPVUm8ANYWFjw008/ceDAAQ4cOMDRo0fp3r27XnM2NvQW+h9/ewLWznImTkhGAH78sx85fxTz05ubMZar6nCLNcfGqrRMy5qlYzgfkcTJy7cJ8LTHzFTO5ei7PLn4b5a/NZTIC7GYyI3IyC1i3eEYvp3dXS+LY5/WblyNTyclq4DMvGLm/XiM/3uqC1KphJ1n4mhqb4G3syXXbmUyvIMHBy8ncuhiAu0DHMkvbpznrD5QCwIFRSWY62llzy1QYlEHMdMFRUpe/uEY3Vs8fK46F2/oLk8ED1kZOQPx4DVSULyJZVszaO17W6tf1G0nlAVrWPdPtMHWvhiZRFFx7dxHK6Mu351y8oqwNK+bDNMqtRqrB+bu29Gb7UeimTgwWKwYUEtEBUDl6GP9X/KePytWXcTFpbisrUmTIn79/QKPjW9Lt+5nHplElKLwfx99rf4bfj3MgBHt8PZbymdfxtLUXfsdpO+AOyx6vW2FQn9+XhEnDl0lL6cACytTOnYPwsKq9knvBAFyc+SYmKiQG6sBsHe0YtDo0kTRN2OS2PDrEdp19scnULt09ZQnI2jeIp0Vy5tzJ0OBsVyg9/Cb9B51EV0e23KFHN8WXhptKpWa3Kw8rGwtUJWoMJIZIQgCxUVKTEwbtmqBSM3Jzs4uc51/8skntY6PHz+e5557jrS0NA4ePMiAAQOqnLOgoFSp6uPjo3VMJpPh6elJamoqJSV19x5VFXl5eVy8eBGAcePGaR23tLRkwIAB/PHHH6xfv/7RF/pHT8phzKj7gnCPbuls3OzMOz/25cPZe+pkc4bC3saMvh4WdHUxYeOmUxQUl9DEzpxPp7cj5tJNRnT05Pz1VG4kZbPu9f6lrvh6MqmXP+sOx9C3tRuzvjxM91e2MqyjJ03szDgVmUyzpjb0CnHDRCFnYFt3xi7ZzYBQd0a21L4R/1fIL1SyJ+w2o7p469X/UY1frw3i+dBk7aFoHutZWpKxT4iMaZ++yrvTvkchfyCTs0rKyHee49sX1uLlXHF4QHXzCjw2qEXNNt0I+O3vi4zr10xnbhJDY/4/F9W0zHzsbXS4+lcjSaDIfcRqABVTkfU/O1uGVCpoCPz3sLBQ4e2TT2ysaZkHwKOCKPzfR5fwLwgCR/ddZvPqowwb3wkXNzscnZugUmUCuVpzZGUqMDVXaoy/eiGOG9GJSCSl1vyOPZthaWWY0CZBgPWrAtn1lw829oXk5cixdyjk5UXncHErDR8tKlRiY2fBhCd6cvzgFa5ciGPYhE5axoA2HZP5pqO2cevBEn+VYWQkxdrOEqAsfl8ikYgC/0PO+fPnKS4uxsTERGdyPblcTvv27dm/fz+nTp3SS+hv1aoVR48e5fjx4wQHB2scS09PJyIiAplMRuvWrQ31MapNZmYm91Lcubnpfobeaz958mS97cvQ6C30Pyjw32PcmLv8/FMbCotkmCgaTkMD+sUCmxjLmNonQKNNWaLip13X8HKx5MURLZDLqvfya29lwuzhLdgTdgtbSwXnY1KwMVeQkVtMU3tzcguVXLieyuzhLZBIJPzxWl+uJz7c8YJQ+vA5dtWHP3aHkp5tTmjQLWYMPoWjtfaDsTwSiQTR8UukrnCyyWHu6P30W/gyL4/aRxvf21y97cqX2wchNZWz5VR75o7YXeH4yu4lD0OpwuowpJs/u47FMKJX1RmbDcG4fs34fcdlpo8IqbqzqASoEaIXgG4etP4XFkqxsKzY287aqoT8vEc3HlkU/u9zT/jffTiS65F36NSzOct+m112fMCoWH77xY+33rugNfa3X/zo0vcCOzedoqhQibFCjn9zN4ZP6Fwne/16aRuUUnh71QGMZKVvUbdirFjwbE8+X3EAB6dC8nIL6Rk4l3ZdAxg+oTOx0UmkJWfj4KxfEkpPi2K9BX+RR4/o6FIvSA8PD2Qy3fdAHx8f9u/fX9a3Kt555x0GDRrEq6++ikwmY8iQIVhYWHDhwgVeffVV8vLyePPNN3F3rzjfWl3zYC6BhIQEjTCEB9sBIiMj621fhqbWT7WAgHzupFji07R+4t8MXcZOKpEglUowrWXCkeTMApIzC3hyYDOOXkmkRwtXfth5heYedshlUlKzCsktVNIh0JllWy4RcycLKzNj5oxqZaBPUn8IAsz5eizSjFxeaLEaF/M0jia0YtLb01jy7E46NYurdLxUKkHPohEiIjUixOc25vbGJFh24OiJHnh6FbFuUxQODsXMeKIFF65f0en+XxWPmkLAwdaM1Mz8elvPyEiKh6sVv267iJ21Ca38nXF3sUYq1cOPWlQCVBtRAaCNQllCU5sSEuIVKJUS5HLNZ5EgQFiYNW+9Y7gQoMaKKPyXWue///If2nfyZ+Cs3lpu/+27JbJtnT+rfvZnyvQY5HKB/HyBJW/nERa2k8C2t+g/IrTKBHq1JS3FhIgr9ry2/IhGu7tfNhNfvsjqH4KZ+9Y57BwsuZz2M6uX76Ugr4iOPZpx8J8LjJ+uf+WUe+X9ROG/8ZOamkrTptXPFTZv3jzmzZun1Z6RUSrL2dpWnJz43rF7fauiT58+7N27l7feeksroZ6Xlxe///47U6ZM0XfrdYKlpSVBQUFERESwefNm+vbtq3E8NzeXvXtLE0Dn5OSgUqkwMnr48oHV+i6VmKjAzsqwLnD1WZ/eyEjKs0ODuZWSy6ZjsShL1DR1MKd3SPVekKb2CaC4RM2uM3F0DHTG1c6MmQOa0TXYBUGA+T8d58DFBAaGutPK2x4rc2MEATJyiqoVTtAY2HC4DQ4FCSzovqasbZD3Gbo0ucLE5UvY+/l3yIzUFY6XUBrXLyJSV/x2qDvzX73FwP6pWscWvB7Pt0t687XvaoOuWdF9q7ErA9ycLLmTnEMTJ8t6Wa93+9KwnuzcIi5H3+Xk5QRUqtL7hSCAkZGE9sFN8Glqq+WSmpVTSFxiFsoSFeaxqdhbm+JoZ156UFQCVIqoALiPRAKPT7nFu2/78/6HURqx+19/6UW//ikoFBU/wx416lL4z8mW8/WXzTh6zBkjmRoLUxXPz46gR6/GkQD19IkYBgxpjV9AaW6f8sn+JBJ496uj/PqNC707ZSOR5ILEmn7DnVnxlylGRg71ss+je93pNES3QSW4QwpbvtcMM5v2bH8AVn2zG9+gmoWTilZ/wyKTSWjqabj8VNLboFKpSExMrPbY7GzdHseFhYUAGBtX/L0rFKUyy71YfX2IjY0lOTkZiUSCh4cHVlZWxMTEcPPmTX7++We6du2Kl5eX/h+gDnj++ed56aWX+PHHHwkNDS1TUGRnZ/PEE0+QnHz/Ha+goAALi5qV5mxI9Bb6Y66b4+erWXIuOsYcmboQG6vCGi1en8J9Vbg7WpTFBEfdzmTV3gjkMilmCjmXbqQya0hzXO+9XFZAgJs1R8PleDpZcOlGKuYmxuw4HYdKEAj1d8RMIePJgc34dns4X8zqyvTPDmBibMSTA5vVx0c0GGv2tOWnHku02q0U+Qz2OMaus80Z3jG8wvH36s3qy38xMZ1I7biVbs+UQN2hJoEBudxKrb+cGo1dGXArKZsBnX3rfV0rCwVd23hotSuVKs5evcOOo9GM6h2EXCbl9t1sLsckY2mmoJmPA5bmCvIKijkfkUVyRh6CAG5OsfQM9bxfW1pUAlTIPQXAf1n4nz7lNl99583IIe3oNyAVmUxg314H2rbLYtFblddyflS5J/yDYRQAuTkyHpvQi7YTI5j29VUkEshJV/Dl162Jjzdn6uPXa71GTVEqS1j540E8PB3o2EUzR86D8f6RV25x9UIcnr5mrDsYgkx27xxl1et+S0okyM10h6RIJCCRar9U5ecWcjcxg6HjOtZ4XdHq37gxMjKqMAa9Mh50Z38QE5PSBOjFxdr5Tu5RVFQElJbU04ePPvqIN954g6CgIC5cuECrVqUezrm5ubz88susWLGCrl27cvXqVayt9QtDqQtmz57N4cOH2bRpE08++SSvvfYaTZo0ITIykqKiIqZNm8bq1auRSCSYmT2cJYj1FvqffjqIV16NZ9CA0gfBrt1OfP6ZO6veXlfl2MYk3OuDm4M5RlIpnk6WtPC0w9HahH3nExAQaO3jQEsvO52CaPsAJ9r5O1JYrCI1uxB3Rwsu30wnKS2Pa7kZeDha4mBtgqOVKW/9dhofF0smdK//l+3aoiqRYGmsW8MXZBNHfGKwzmP3kEokqNX3H1Cqm+mVr5ecW2Wf2mDkZVd1J5GHCj+nJC5ccsXDQ/s6vXjJGj+Xhi83quu+2BCKAGO5UaNSrMnlRnQOcad1oAtnrtxBpVbj5mTFjJGtK91nfGIWv++4jLHciIFdfLHjAUuiqADQyX/d+v/S87E89UQ8/x63Q6WS8OTKOKysSqBEv7J/jzKWcsdaC/7ffxtEm/GRNO9+3xJpaVfEmLdO8duLvRk9Ng5zPWvcX7l8i392nKffwFY0b9G01u70+/65xNiJnbB30O3hlJtTwOFtYXj7ODHisS73lYkNRMceiXyxtC1dBt3SOnYzwgZ3D20l962bKZiaKco8qWqDaPVvnDg4OHDp0iWDzaeP674+IQD3SE5O5r333gNKS+7dE/ihtBTe8uXLOXHiBFevXuW7775j4cKFtdl+rZBKpaxfv55ffvmFFStWEB4eTkxMDG3btmX+/PlYW1uzevVqnJyckOoqc/EQoPddc+PS1fy8tT3ff9MSgO4hN9jw0WrsrDVfqh82AV8X5iZyVGo1l2PTCL+ZjrmJHJmRhBBvB4pLVPxxMBpBACszOd4uVjSxM8PB2hQjqYQvt17GztIEU4WMvq2bkppdyDNDmpNXoOTvU3EUl6gJ9rRl07EbtPN3xMS4ccSEVEeolqMks9AcG5M8rWPhad6EOMdWOp9aLaBKqVtBvjo01D5EZUPdMa3XMSYvm8PA/qkabrpqNXz0gQfvjfy1AXdXMQ2hCHhQAdeYMDWR0yPUU+/+Hq7WTB8RQmFRCT9tDuOJESH3yxGK+QCq5L+qADAzUzGgn7Zwq0/Zv0ed2rr9HzriwuRlEVrtUikE9Yln7z9ujBpbeQ6gexTkF9GtRzOWf7Wb8+diGT+5CyYKOXl5hbRt74tCIaNrjyC9XsbDztxApVJrCfyfLNlKcCt3srPyMTVVMHhYG6ysSy16VZX4q2vcvXIwV6g4vsudLoPvC/65WXJ+/agt73x6jOIiJaf/jSQzPReJREJhQREvLRptsD2IVv9HH3//Uq+X+Ph4SkpKdCbzu3Hjhkbfyjh79iyFhYVYWFjQoUMHreMymYxevXpx9epVzp49W8vd1x6pVMpTTz3FU089pXVs6dKlAISGhtb3tgyG3k8zO+sCFkw/wgJKk4gId5IhDwRtue+RIDWrkLHdfAiPSyc1qxAnazOy8oq5cbc0DsZIKsHB2gQEOBOVQlJGPtEJWSwY3xorM2P2hN1i9YEopvUJwFQhw87ShOeHt0BZomLn6Tja+jlSpCytHDC0gyeezjWPp61voXVqlyN8FTaOt7toCk7pBZbsjevIK+M+qHS8IObuBwzzvYmKA93YW+Uxd/A2hg8bwYsv36ZNSA6R0eZ8+XlTxrQ5QmDThrf060tdKwKqsmDl5huzfnczbiVa4+Oewbj+1zA1adgX4MowUch4ZlwoP2w8h42lCTIjaZliw9nenH6dfDSVAI1AAaBWq4mNT+NqVCJZ2QUE+DrTvrVng3lg/FcVALpQKEswVlWc6f+/QE2Ff6mRWmfddwBTmyKys/WPb27XsTT8MjUlm9ah3jRv0RSpkRRzMwWnT8aQnpbD50v/ZvjodnTr2YzcnEKatWiKqammgHrmZAx3EtIZOfa+ACIIAof2X6FJU1vatPXG2dVG676oq8RfffP2p8f5/L12HNzoi1+rNDJTTUi5ZcG8RWdRmMTzyZs7eW7BcOwddbtuGwrR6v/o0qZNG+RyOYWFhYSFhWkJ6kqlkjNnzgDQsWPVYSM5OTlV9rmX2PtePoHGyqZNmwAYNmxYA++k5ugt9D+MFvyCIjmfbhzAv1d8MTFWUqSUMabreWYN/peq3qWMpBK8Xazwdim9eSak5vLvlSRKVAK2FgoGtGlK9J0swuPSEQRQyI1o4WXH9tOlWus+IW4MaudBalYBpor7p3nv+dv8sieCSb38kEgEPlgXRrCXXZnQ31is35UxIuQcp6/78cK+l3m61TZczNM5ejuEFeHD+L+Jv2GkI7bsQUpUAvIGdpV7VKjJ9fJfURQMahtOO99YVu/ryo7fm9DULpVvHt9OU4fMht5arTGkIkBayc1w93EfPvmpC9P7/suQ5pFcvOnOkGcn8f6cQ3Rro+1m2lgwlhsxYUBz5DIj7Kzvxx1GxaWxfMNZxvVrjoPt/2LydHgBFBUpOXQ8mvTMPJo4W9Ozi2apV0Nx81YaR06UZokP8HWmZ2d/rCxNuRaVyOoNpwDo0y2Qpk2qdqOsK8T4/1IUStV/3vpfXeHfzlpJRpIpti7aYVY3T7nyxCvXqr2HoSO1rWytQ0uTgxYWFrNt8xn+WHUEUzNj3l30JwsXj6VT1wAKCopZ9eMBevYN1hD4c3MKWPf7MfoPDqF3vxZac5enroX/zPRcdm46zeSn+2gdkxureW3JaXKz5dyMscbSuhhL6wSSEzPYtfkab3w8qd7cjkWr/6OJlZUV/fr1Y9euXaxYsUJL6N+wYQPZ2dnY29vTq1evKue75w2Qm5vL6dOntRQFJSUlHD58GICAgLp5zhqCTZs2cfbsWezs7Jg8eXJDb6fGPLJPrmKlERM/eoonBx7jrck7kEhAWSLl++09mbN8Al89t77y8SWaMVBuDhZM/F+ivztpefx9Og5liRq1ICCVSCguUSEIEJuUzc27ORhJJWTlFfP99iv8PKktDhYKou7mcDImhXk9/TgSlYKPowU9fO25ev423SxN6uxcGBqJBD4Y+yeXbnuw5uRA0nMtaOsVy5YXP8PSpGpNXWGJClN54whr+C9SHUXBw64gcLDOY+6IPQ29jXqhpooAiQRKStTIZJoviwl3LVm2qgPbF3+FiXHpC267gHgmdj/LqCWz2fTlxhonca0PnO21M+sGeNrj42bLrmPRpGYUENrclVYBzmXHs3IK2b17P0VKFQO7+OLYqxn/nrrOxu1hWJgpKFaqsDBXYGGuQGEsIyMrn5S0XEKauxHg66y1ni7y84vZdeAKOXmFeLnbM3VcB60X9WYBrjQLcEWlUnPg30j2HY3A2cGK/j2DkEhkGBnVv7eUaP2/jyj86yf8v/TSNd79pC0T3j+O0QOlEW9etMco35ig5pkG3ZeJiTETJneF/72T5+YU8NrLq/ls6TbGTuzEjGf6YGJyX0g9eSyK6KhEpj/Vq9o5Aspn+a8uVy/GERudhJuHPeHnb9LE3R5rW3Pirt+lZVsvNvx6GA9vJ5qFeJaFGNzDwkpJs5BkTh6+ypl/Ixk6vhPTnuvfIHHGotX/0WPRokX8888//Pzzz/Tq1YtJkyYBcPHixbIyfwsWLNDI8L9s2TKWLVtGp06dWLfufq63Nm3a0Lx5c65evcoTTzzBn3/+WRbXn5OTw9y5c7l69SoAU6dOra+PqJOCggJ+/fVXJk2aVJZQUKVSsXbtWp599lkAvvzyywZNNlhbJIKeBdPVu56r670YlDUH25OVZ8pzw45oHXvmq8nMGXWA5h4Vl4z5/UAUU/tUrnWqTHgSBKHMNfPd7eE0tTHlt5M36eLjwGf7Ivl4TAirT95kcAtXopNz6BvkTDc/R4KbPLwXk77czS7kyp0s+gTp95K87kw8j7XXzvIt0nhoaOXA2kPRTOpVdXzZfx1dSoC0zHwOnrnJuP7NNdrf+bYnPXwu0jskSmvM5mOtSShqyktTT9fZXuuDsGuJXLmegsxIikqtxtpCQa92XvdzAfyPzOxC1A6OGBsbkZdfTG5eEYVFSmytzXCws2Dbnkt4NrWjRWATbsSnYiSVYmtjho2VKRKJhPiEdCKv3yU1PQ9TEzmDejfHylK/zMcAuXkyXv/Ak0PHrqEwVmJq2pUJI1S8MPNyhe7T9cF/Rfjfu/8CbUJ8cHDQ7Tb9KAv/d+8as+NvR4oLJfTonUnzYO2EcZUJ/1s3e/Dtd0H4d7+NmV0h8edcUBTJ+Hb5CayslXW5dQBKSlSs+/1fpj5xv059RnouO7ado02oD8Et3as1n65X5qT8kipDcYqLlNy5lcapI9e4dPYGggCdezfn6N7L9B7cmp4DWpFyNwvP/ykPBUEg9W4W4edvkpdbiJW1Gf7N3UhPzeFGZCIqlZouvYNxcrXRWuv00Qg6dA+q1ucyBHUl/A/1mFYn89YnPj4+KBPvsrdTP4PN2fXYP7gFBRo0kd89PvjgA958802gdO8WFhaEh4ejVqsZOnQof/31l0ad+nfeeYd3332Xnj17cujQIY25wsLC6NevHxkZGUgkEjw9PbGysiI6Orqs7N+SJUtYtGiR1j4cHO6XxCwqKiI3Nxe5XK5RfeCbb77hscce0xjXtm1b4uPjgdKQhOzsbKRSqUbywQULFrBgwYKyvzMzM7G1tUUmk+Hh4YGdnR03btwgPT0dIyMjli5dyiuvvFLdU9moeGSfVFuOt2blvN90Hnui/wk2Hg3l7Sk7KhzfTG7E2aPXaeNeM7fKBx8Ai4eVuow1tTWju78jcpkEG1M5Q1q60srNBpmRpDRHgIWioukeKYT/eUfoi6WJjLD4dNp6PNxW50cZfbwHGloxIKLbG8C+iRP5hUqycgqxfsDjKDzGkdeG3tA5T+dmN3hnQ5s622d90baZK22buVbZz8bKBIpzoBgsAGcvzTwA44a15dzFeHYduIKvlyPFahUJEXfYuS+cjqHeeLnb0znUBzvbysu+6qKoSMrEWQOY8/Qlvv7AGEGQcfDf9fy6QcHQqe5s+1VA3kCeU6L1v5RH0fIvCLD0fU8unTJmYt8wLEyV/PRxc9KLPfj+lwjMzO57Q1Zm+R81Jp7BQ29z+IArWZnGPPtGOH4BumuE1wX/bD9P3/73M4ZvWncCC0sTRo/vhLm5fu9cVy7foqiwVEGxfs0xOnbWVDBnZuZTIpczYGQ7FCb38xQU5BeREJdK3I27pCRlEnc9mTad/Hj21eG4e5cqYDv1aMb50zHs2x6GRCoh5W4Wbh72OLrY4OhiQ+/BrQGIv3GXO7fSsLW3ZOj4jhVa9c8ej+K37/fQuoMvxgrD1YTXB9Hq/+iwaNEiQkJC+OKLLzh37hxJSUm0bNmSGTNm8MILL2gI/FXRtm1bwsPD+eyzz/jnn3+IjY0lISEBR0dHhgwZwuzZs+ndu7fOsWlpaVptSqVSo11XLoD09HStsWq1WqMtPz9f47iZmRmvv/46Bw4c4Pr169y+fRsnJyeGDh3Kyy+/TNu2bfX+zI2VR9bSP/Ld59jy1nKkOuLLr8S58uvW1nw08o9K5/h0dzLn40aRk98VAE+HVOYO3ImvY82SgAmCQHpeMYejU5i7PoxX+gcR4GzJ2ZvpLBpaeZm7R4mkrAIiknLoFah/DPLuK4koVQLDWtVffXWR+qO2CgHR0l87bt7N5npiNn1bNy3zBpi9ZDAvDvhHZ9LDkxHe7Ahvz5KXDtXzThshFSQCPH/5FgWFxXRpX72yrIIA6RkKFAoVFuYl/LY+gKJiI56eqh3//MScFjTzW4+zUxbdOvji513/JR/L8ygK/1VZ+svzKAj/f/zmQtzZXN6ZtV+jfd9pH9Yd78Z3P0fqHKdL8I+PM+fCOQesbYrp0j0Jubx+wlMSEzI48W8kYyZ2AuDA3st4ejni61+95J0/fruX/oNDAHB0ssLCQjsc83Z8GmdORnM7LQ8jIynmFiao1QJefs4kxKfSb5h+Gb8Tb6dx51Yad+LTcHW3p52OfCIqlZrbN1OIibhD+26BZe7/B3ae55/Np7kdn8KaPW9W6zMaEkML/qKlXzd1aekXeTR5+J9MFdDe5Rp7zwcyMFS7XMz2ky3o7nO10vERSU3Ye+kNxvi9hZPZKob7O3ElxZMXfnuOjyf+Qaum1U9iNW3lSTLzlZjKjfhxanvC4jOITc3j6R7Veyn8LzIw2JVjMSkcjkqmZ0DDv9iKGJaqPAVEL4G6xcvZis3HYukT4gb/8waY3u0QX27tw3cvrNXoKwjw1d99ee/lfxtiq40PHZUAlEoVZy7EMWtat2pN9ccWf1b+GYyrWzF5eUZI1SVkZhix7dd/dPZ/ZloKew4/zvQJZzh2+jr/nr6OjZUpg/sEo6hnK989HkXrv0wmRanUP377UbD8r/3Vmb8/3a7V3q/DDX7c2pm7d41xdi7WOv6g1T83V8brczojlxjRp2caMbHGfP1pCE/NvsKgYXWbCLSwsJi/Np/mmRcGAHD+7A3SUnP0StZXHgcHS7x9Kn/vaOphT1MPe/LyCjEzU3C34H7Fh2at9C896trUHtem9oR2hq1rjhHa2b/MczTicjwRl29hJJPi0sSWFct2kp6azaWzN3Bxs+P35XtZvGw6TZraV/szGhIxyZ+ISOPk4X0iUbmg8GSXfTy++mXa+t3G0fp+DNqVOFcOnPNn7rOVJ/JbvGU8Pw34mCaWRfxxpYTsohKCHeNYMfAjZm95hS0vflatvSpVapramLHz8nV2vNCDxX+H42xlwti2TckuUOL0ECXyayi6+jly8kaqKPj/B6nsty4qBAzDmK7e7D53i0HtSvNntA+IY9uJEF75aSyvjN2Li1028cm2fLRhCO1CkvH3bPyVRuqd/ykA/txxicfGd6/W0O9WtSDmrit//XOhzBKalGTM6OGhxN6yIDgwU2uMhbmSwkIjJBIJ3Tr60a2jHxmZ+WzacYGi4hI6tfWiWUDV4Qt1xaOS+d/UREFBobaAWxUPq/CvUoGpvBCFse5ShV1axHIl3AZnZ23X23tYyh158cUQnnsylp7d7t8r5r4Yy+QZbXBxzad1aMXja4parebwgavExSbz+JO9kEgkHDlYauQZP6mLwdcrj7l56btcbRP9AXTsEcSGVYexsbcgN7sAb38XRk3uWnZ8zd7SGOjmrTx5adq3PD57AO06B+Dg3DhyQ4nu/iIijYtG/ySqaQk7J8tsPh25kmkfTqeFzx183VIJi/QgI0vBqmlfVVpWLiPfHIlKRRPL0gfSuEAX/oq+y4RmrjiaZWEjzyYxywZX60y99pKRX8zjv5xkQHMXds/pyY9Hr5NfXEJ8eh55xSWsPRPPW/8h9/7a0NHbns/2RopCfy1Iy7XgZpoTzlaZNLWt2e8rPt2eW+kOeNqn1HgOQ6G6mY46JU/rXiEqA6qHl7MVu85qWt/en76NfeeDeOXnsWTnm2Bnmc/Tg47SNfgGwp3SPjUtFVhTouLs+eOfNmTmmhIaeIsJ/cMxUTRc7ezyRN5MxcXeAqv8LMjPKm2sIATgHgUFRvy1z49t/5zXKCfr4lLMmvUXmPd8N3b8pm113bbbi95dEzTabG3MmDymPYIgcPr8TVauO4GlhYIhfVpgZlb3L+ApqSas+D2AE6cdMTMtYcLYm4wYGF9WceBBBUBxsYS0NGNsbZWYmKgrmrLBkcuNqmXpL8/DJvxLpZBfWPG1kpBqTRe7ypPwRUWaY2Gm1BD4AYyNBT7/6BqvLg7m25XaiZZry5b1p/ALdKV3vxYIgsD2rWdxdrGhfSe/Gs+pZxSsFrUt7+fa1J6c7AKGTeiMWSX5B+Ju3OXHjXPxDWoc4Y+CILD8/7azefVR1GqBN36ai19Lr4belojIf55G8wSqi/r0Ld1usf3ZJVy87Ulili19e5zSKx4/t9AEO5P7iWYUMinqB+75dibZZBea6iX0C4LA9JUn+XB0K1q62QAQnZyLl7056XlFGAFtPRquBnNDIVCzh2ihUkVWgZL84hLMjBvN5ftQkFNowit/zSRTZUOroBRiL1iTlW7Ex8NX4uOgneBNF7cz7Ji39nEspHn428YTkd6LYomCZZN/xdkqq44/QfWo6J4iKgMqxtJU2yW8X5sI+rXRDpO6R/nkgHWpBHjnx77Epjbl2WcTcHHJ5MBBT4a83IHvFmwmyDu1ztbVF7Va4OCZmzw7vp3mAR0hAA9y7IwLfQekoyu/qbd3AUmpltxNMcXZ8X698wvh9hw77crCl8J07kUikdCxrTcd23qTnVPA33svUVCopGOburP+Xwi345WF7Zg3fBevzLtKZp4Zv+zrxqQNvfjjx8PI5WqEzASKiqS8/XVvwi5a4uaex90kUzzcivj4vUhsbes+o3t1uXj5JpMmVM9zQxcPi/AvkUBAcCEnL7vRqaWmUiknz5gLMe4saX2x0jlOHLdhUD/dWf09PArIzjJ84uI7t9ORSCSEtPHiavgtTh2Ppu/Alnh4OtZovuLiEjasPU6nrrWrH14bq/+TcwZXejzq6m1uxiQxZGzHSvvVF6l3s+jdfD4ymRGvvDeefsNDcW5iC4hW/7qgpKSEsDDtZ4Crqyuurg3n5SXSOKn3J09dCPeVIZFAa/c4WrvH6T3G1TqD65luCAIaL2Gl2l4JV1K98bLbpNdcb2y9xLhQD/KLVczfcJ4lI1syqb0HaXnFLNp6iQu3s/Cyr35G54cZI6kElbpmQr9CZkT4nSxO3kjTu+SfSGkc9hN/vMyrL5yjW5v71tz4RGueeO0F/nz8Y2zN8iqdI7/YmJm/PMtXvZbha3unrD0izZ3Hf36Rv1/6GGOZbnfQxkRdKwMEAS7FupGZZ0ZLrwTsLPOrHtRIKFKqUKsFpFL9q2uU50ElgCEVAH8fDqTQ2Inffg0va/Pxzmf40BSmTBnF7q9X6EzcWp9s2neNsX2bVd5JhwJApZJWmtzM3raQGXP64Oudha9nNucvO6AskbL6m316leyzsjRl4sh2CILAqbBS67+DnTmDegcbLPO/IMCrb7Vn3SvfYW9Vei+xt8rj1TG7WX0gi69+bM782eEIAkx9qR+jp8WyYMl9gfLcaQfGTwtl+8azjc7qL5VKMDU1nJD6MAj/i969ybRxw5g38QCDu8YglQpcjnbitW+H8taSmzoVVA9iYVFCeobuvBKCACUlNb/HPEhqSjarfjzA1Su3GTepMyPHdUCtVhN29gYzZvWpcFzE1QROHovE3MIEa2szBgxpXXassLCYIwevknQnkzETO+lM3FddDOHur4tTR65hatbwlZ/SUrL5dulfbFh1mJcWjebpeUO1+vzX3f2lRgI2rtUPE6oIibQ0u31oqHaSyMWLF/POO+8YbC2RR4M6e+LUt3BvSGRGagaHXOC7C6OY3WYrAMGOFrx3LAYP65fo2ewaCnnVN29BEIhJzuXS7Uxau9vSyceBt7eFk55fjLWJnPPxGWTkFzO2bfXqxD7sVFXPtjKkUglbnuvG8eupbD5/m9Gt3Wo133+FI9HNad06XUPgB/BwzWLOjLOsOt6Hub3/rnSOP890YVLAHg2BHyDI/hYjvI+y9Xx7JrQ/afC91xe67lnVVQQcDffj/Y0jCWmVibNjIV/+6Ii71V0+eWKDXveMhsbD0YLkzAJc7MwMMp8hvQBW7ejAL79GabU7OxfRo1cWh8560adDbI3nr4rsnCLyCotRGMswVchQGMs0lCPxiVmYKIxwtKuGEvd/CoDO7eR8/VJbZr8Ur9UlKckYW6sC/vz+H65F2ZCYbM7Yoddxd6tcSacLiURCp1BvOoV6k5Kaw7qtZ1Gp1fTrHkTTJrXzODsV5kxH3+gygf9BJvc8xZAPujF/djhHT7niEZDLwGGaFuTQDqkMH3edPzc1YfqU27Xai6FxdbHlzNlo2rczbIWQxiz8OzgoWbs1nB+/a8O3r/REKhXw8Cni/76/iZ9/1YrMgYNTmTy+DU9Oj9dSTO3e50jnLoYp27fr7zC6925OaEc/evdrwfmzN7h0IY5ho9pVOObi+Zsk3ErjiadLlQLrVh/lxL+RJNxKQy0IyOUyevRujr2DJfn5RWxadwJBEGjibk+XboE13mtt3f11cf5kDAs+mGiw+WrK78v34RPgyoEr/4eji02F/f7rgr+hsbe3Z9euXVrtopVfRBcGedI8zAJ+Rczpt4u3tkxk8va3Ge7zL1KJwOHbRQQJpvwwbZtec0gkEjY8U5p05dcTsfzfngj8nCzo6utAfrGKpnZm9Aly5qPRraqYqeFQ3sg0/Jz5xZQk56FU1Hzu9hIZMWoJf+yMILe4hEnNm2BWhcVK7mNT4/UedvbFtGbiVG2BCWBYj2hG/z6qSqH/wNVgPu+6TOex4b7H+OD8zIda6NdFdRQBV+Jc+WTHSLasOYiF+f2Xur/+8eCFH6by0wur6mqbBqNIqcZUUXc132vjBaBUy7Gx0f2yHBqaS1SYQ50I/TduZ3Do7E0cbcywNFdQWFxCYVEJRUoVKlWpRVpA4Nr1VN5/QXet4aqwyr9FB98Yvv7CnRdevlVmRc3Pl/LSc8144/kTADQLyKRZQKYhPhaODpZMG98RtVrN/qOR7D0SgWdTO3p18a+wBnhl3E40x9dZd/ickZGAQlbqtr9trxejZ97U2W/U+Ju8PKNzoxP6B/Zvy4pVe2nT2geZzPC/j8Yq/NvYlLDgjTh4o/pjLSxUjBqbxHNzWrH0vWvY2ioRBDh01J5Pv/BjzYbzWModdZb405ezp2IIat60LF7/xL+RSCQSpj9V8e/wYthN7iZlMmTEfetoUmIWTi42jH2sM+lpufx7+BqH9pV6FBkrZPQd2AobW3OuRyex6qcD9Ozbosps/pVhCKt/bHQSZ45F8vS8obi4NWzIWlpKNudPx2BpZUZWRh6zXx9ZaX9R8DccMpnskagfL1I/VPsJ8ygK+LqQSGDJmD9JzrFi39WWqAUJfz5/g4ORu5BK9S+/IggC72wPZ3PYbdztzEjIKOB6Si4+Dhb8PrOTQeLS60IwfxjwszXHz9acohI1P1+8xTA/JzytTSvsX1fn6WFQJsikKoqVul9WlSVGSCVVu0Uby0ooKFFgg7Ylr6BEgbGs8VuyDUFFioBl2wfyxYenNQR+gJGD4tn8lyc379rh5dy4759B7jZcjc+gc7Pq1bGuCdX2AlCryc83wsxMO4QkMtIUfyfD5pS4GJnEuWuJeLvZMGNk60o9irYdiuSZ8aG18jp666n9fLq6B8P6htCuQzZZWTJiYsx5ffYZOrSuuWBUFVKplP49S0MS4m6lsXrjaWRGUgb3CcbOVn+vhQCfTH75xxM4oXWssFhGiVD6rFOrJWVJ/cpjZKRGpZI0yqz/5maKKl3aa4tCWdLoBP/aMPOp2+z1sGf6M21Qq6CoyIi27bL4/c8LZQq8B0v8VYfYG8ncSchgxJj2AJw7fZ28vCL6DazYiHLhXCzJyVkarvwAc14dysWwm2z+8yRWNqWu/qam2kKpr78Lvv4u7N9ziQtnbzByXIcaKcig5lb/3OwCDu66gLWdOROe6FmjtQ2NlY0Zs18fiYOTNfZOVnqNEcv6iYjUP3o/Xf4rwn55nCyzmdzxWNnfEglkFRRjreOBoIsStcDKY7EkZRcyuIUrw1s2YdvlBKZ18tIQ+P9rgntNE/kBFJXI2RrVldMJQVgq8pnY/BCzQ6WsvXqHIpWagOq41xqA2nx39aUwGNH8NL9vG0aHckmZANbvbsaQZmeqnGNU6BnWRfRlbrsNWsfWXuvH6NDTBtnrw4jqZjpJaVb4++gWPIcPTeDgpUBm9NcWiBoTjtYmXI3PaJC1q/ICGNfnAst/9GHey5r5WXJzjfh7mwN7vo4xyD6OX7jFtdhUWvk7MXNUmyr7J6fnUVSswt2ldmWyJBJY8PgR5jx2jIhYB8xMlPh53EvuV/dKGABPd3umu9tTVKTkn4NXycjKJzjQlfatvaoc26p5OtdT23Ij0QEfV82kit/u6MP4MaXf28Ce8Wzf4sG8hZe15tix1YPBve6HODQm4b9JE3uuXrtFyxZedbpOY7X615T+A9LoP6Dq0nz6Wv1vx6dx+kQ0UiMpo8Z1QBAEtm0+g4OTVZUCf0pKNgMGt9Y6JpFIaB3qTetQ7yrXB+g7oBVpqTn88PUenpszSK8xFVEdq//xg1f485dDBLXywNhEzvqVh5Aby8hIy6H/8FDcvStWnCqVJcRGJxHQvGmt9qsLuVxG+641C3sQrf4iIvXHo/FUqUfOx2eQVVBMYlYhRUoVj3XwpI27dizkg4Lg9Vk9KCpRk1+iwlYmp1Mbb0jMoyFyFJeopXx/aTR7bnXC1KSEgkIZfd1OMztkM3Kj+knCJpVIqGEeP2IzXXhu51yGuR1huvvfpBdZ8fm/43CyzmJJrxWsj0jkTm4hvTzsDbvpOqK6CoOaKgnaeMTyzb8Cv//dginDwsssVicuuvH7xuZsnPlRlXMMaXGelUfnsetGPIO8TyGRlCZk+iu6GxE5PiwOrDw84FFHpZJoJf+8R16eESbyxpeVvDzGMiMKihreY0OXAmDqkIs8/YEvby32Y/Zzt3ByKuLgYXs++cST92b9g0xW8+RvgiCw7+QN4pOy6RLSlCdHVy3s32PTvms8M047kVJNURirCAks5yZfRfZ/Q6NQyBk5KASA8Ig7rPrzBBbmVZf9++6zE8x4fiaj2p1hYNtwMnLN+GV/DxT2JsyfdAqA/j1u8/XKVpw67kjHLveFvJgoK9b84s/2lTu05m0Mwn+PbsFs2HQMhUJOgH/d7+NRE/71oTKrf0pyNsu/3k1hoRIPTwf6Dw5hw9rjFBUp6TegFS6V5KQIO3OD9PRc+v/vmjYE9g6WOFcSu14d9BX8u/QOpkvvYBLiU7G1s8DEzBi1WuDEoavk5xdVOC4y/BYXz1xHrRbqROivLdf2HeNOppqigmLSkjKY9uq4ht6SiMgjyX/naWIgvKVG/HUynpH+TmQUqYm4fJcWyqp9/hQyKQpZzdzADIUgwLP7F9C3Zzz/zFmOkZGASiVhzYF2PL3vdVYO+KDO3RcBpBJQ16DurSDAS7tf5It2n+FmXmpJ8rJMpK1DJJ9fmcTGiJ5MbHaYyLQ8NkYkMS6ofqxj9Ym+SgJdyoEfJn7HJ/vHMGDTJFwdc0nJMMPb+g5/PP5/mBlXnVHWSCrwx9Nf8eGO0Xy3dQx2JlmkFVjTNSCK3576pl6uncZMiEs0/55ypnsnTYFNEGDTJndWjFyD6qZmaERjKx9oqpARcyeTEpUamVHD3q/ucU8BIAF+fnMTe074suDlULLyTGgTmMAvb6yjiVNOjebOyilk17EYCotK6NPBm/6dfas1fu+J6/Tt6F2ragfV5p4CoB6Ef4AWQU1oEdSEnNxC/t57icKiEqZP6KSzr7tbHrs27mHLTk++/XckFuYlzJ57k5bN7nsKSqWw5pu9zHu/K8u/aI5/UBbxsZZIVWrWfLVXKzzmQRpa+B8/tis//bIHSwtTXF3r57f7XxX+HxT8d/x1jj07L2Bja05udgFyYyNuxaUydmKnKt3rz5yMISenoFIvgNogCIJBkglXx93fzcOh7P/JiekU5BcRGKw7IfTBXRewsjFjwoxerF95qNb7NDRXL8ZhY2vBoFHNmPvsr0ydP5a87HzMrQyTTFZEROQ+/52niB7oI1A9FdKU/TfTMJUb8VTrhyvr/r+3W+Lpm8+MQfeTrRkZCUzrf4brCQ4cim9Nb88Ldb6Pmj4fzyQGEWx1vUzgf5BnArbwwpkFjG92mEB7cy6lZHMgLo2e7nYY1ecLeSOhomv5Vb+fmecjJbvYDNtARbW9O0yNlbw/ej1qtYTCEjmm8uL/vLB/j5e6bWPqu6/x5efnyoScoiIp733cmi4u53WWRCwfNtUYlAAeTlaNRuDXIjGZAV7JDHjmRI0rAQiCwImLt4mKS8PKQsHIXoGYmuguLVYZWTmFJKfnV1tRYDDq2fpvaWHCxJHtCLsUz6Wrt2lVgcVQLlczYWQsE0ZWnFTRylLJz58cIjPLmFt3LHBxzMfRoVDvvTSk8P/UjP6s/fMIoW19CQyoP6vpoxbvXxX3rP7f/7SRE/9GYmlpSrPgpkyY0kXvOPrTJ6LJzy+iT/+WdbJHI5kUlUpt0OSO1U3yJwgCFpa6cxldvRiHkZGU0M4B/Pb9Hjr3CjbUNmtNXk4he/8+h3MTWzr3ag7AondHceBEHGlJGQyZWnG5RRERkZrx33mCYJi4eYlEwgh/J6LS8/i/U7F4W5sy9iGxKG+O7c38Wad0Hpsx+BTvf9unXoR+tVBqtasu0elNaWFzXecxc3khgvr+rOODXLmSksPSE9dxszLhiZaNz6WtoTCSqrE1yYW43EpDTCoLJZBKBb28A/5LOFlms3LC/7FkyWTic9tiYV5CTpaUqW32Mbn3Eb3maIxKgMaKvpUAcvOL+WXLeWytTDA2llFQqKRzSFOeaN26Vuuv232FJ/WI+a8X6tH636alO7+uP1mh0F8dbKyLsbGueb6ghhD+JRIJkx/ryfKfdhHgX78lYx9Vq39+fiFmZiYUFyu5dDGW06ciOH7sKjdj7zJoSHuWfT8TeTU/85mTMRQWKunVt0Ud7RpkMiOUSpXBKzpUR/B3bWrPmp8OUFhQTI8Brcr2curINYwVMnoMKPVwsLWz5MCO83j7u9RJBYrqIAgC2/48zvgnemrsxcHZmtFDzNmz7VwD7k5E5NHl0XpyUD8J8ZzMjXGzNGF1eAIFShVuCZl0crOp83VrS2GJAisz3dYUK7NCCksU9bIPtSDUyPruZpXCv4nNdB4rVskoQfNBFuxoSTN7c/beTGNzRBICoFSrcTJX0Mfz4Yj5b0gq+y09DBULGgI3mwy+H/ctarWEErUUY1nt8mQ0hBKgUFliMJfV+qIiBUDUzTT2nbrOjFGtsTQ33P3t3/PxdGrphqyBQ7a0qAfhXyKRoDCWkZaei72dRZ2tUx0aQvgfNrg9P67YzTNP1S6RW014VIT/pKR05rzwHQUFxajVAgqFjFYhPnToEMi06f2wtNR08a5Ohv+42GTGTepi6C1rIJNJUZXUTS6k6rj7d+/XkuuRd9i77RyDx3QoHZeQjkwuIyH+JK1CvTG3NOGxp3rz4pSveXfZEzi52tTJvqsiP6+Ij99Yy8yXButUPrw8/TsWf/44TmKCPxERg/NQPjEaOtN9TlEJGYUlyKQS3urm16B7qQ5dXC6y42Swhnv/PXacDKaL88V62UcNwvkB6OF+iY//ncQTxduxMs7XOLYutj/DArQ/l1QqZaCPY9nfx29nYK14KC/7RoWoEKgcqVTAWGr4l8H6UAJ0be7CqchkOgU5G3zu+uBBBUBaVhFDugUYVOAHOB+RhKOtGf4e9piZVj80oM6pY+F/4shQfl1/io5tvGge6IogCKSk5RIRncStOxn4ebXi9y0DiLlpi0wmYKYo5uWnz9O53d2qJ68F9Sn8N23qQId2AZw6HUnHDjXLXF5bHkaXf7VazZL31nD2TBTWNua8/8ETBATq5zWib4Z/oaYvGdXESGZESUnNE4jqgz5W/w7dgwhq5cHh3fff4UZO6oogCKjVAsf2h3P5XCx9hrQhqIUHMREJHNl7CVMzBVKphK59W2BhaVLj8oPV4dbNZHwCXPH01f186dqndC8gZvYXETE0jfZp0dCCfWUYG0k5djuDnOISilVqjBtr/Gs5xvkfYsyOj+jTJgrPB+qF30qx5ZftHdgw+I162YeRVEJJDdL3SyUC7/f+hacPvslzARvo4XKB9CIrfr8+mBuF7vzc/dMq59gdm8rbXR8eRc3DSEW/XVEZYHgeVAIYSgHg6WTJ5mOxD63Q/yDqlAwEdRGCpLjGOQB08eKkDmRkF7DyrwuM6RuEq6OlweY2KHUU9y+VSpnxWGd27g/n1PmbKJUqvD3sCfJzxsEuiInPSli9MoU2rUvDsZKSFMyZ3560jMsM6x9Xxey1R8hMqBfBv01rH/7ecZrNW08wYliHBnGbfpis/ikpWaxfd5j8vEL+2v5ujbyJ9BH8Y28k4+HlWGkfQyCTSSmpI0v/g+gj+FtZm3H2WCRd+7TAzqH0fiSRSDAykqAwkTN4bAeSEzNJuZvJjo2nKC5S8unPz5CSlMkTwz5mxouDMDU1pkOPZpiaGWNkJCUvt5DkO5kk3Unn+0/+pkP3IHwDm5RV7rnnEaZWqXFytaFjD92emPcQBIELp2J4/PkBOo9fuXCT0C7+mFmYlLV5WohhhCIihqLBnxKNWbivCJUg0NRSQWqBlM2Rd3msuWtDb0kvTOXFLO/9CS988iKe7tm08E3iyg1nYuNt+Lbnp5gbV1zyxZBIJVBYQ+14O9coVo1cyqqLg/nt5HAsjAt4LPgAb/qsRSqpWpHga2P2n0zs1xgQlQF1i6G8AMxN5NhZKjh/PZU2vg5VD2jkSP6XQaSsCoCBhH9bK1Oem9COnzaHMWts28YfDlEH1v8hOuKlZ87rzOPT1tGm9X2lkYtLEatXXmDw8HYM6RtHPRgU683qP3xoB9LSsvnm+x1Mn9oHW9uGCXlozML/jRuJPPv0l7i42tF/QFveef/xWv1eKivtd+d2OkcOXGHazF41nl9f5MYySpT1U+pYH8H/jY+n8MtXu3jsyd7Y2t9XRFpYmRIZfgtBLdC2kz9b/vi3rAKAo4sNm4++C8CZY5GcOHQVALVKjbmFCfn5RXTsHsSr70/AWCGnWSsPiouU7N9xHmOFMUplCcVFSvz1yPGxdc0xegxopfO7VypLuHT2BpOeEhP4iYjUFfX6dHgYBXxdnLmTxeWUHD7qFUBibhHv/RuNq7kJjmZyEvOKeaaNO9JG+gLoaX2XDUPf5FqqB3FJLnRwPUzzlnVveXkQa4UcpVrNzcx8vGyqX5bF2TyT17qsrfa4PbGpdHOvuJavSMOg674gKgJqT228AIZ28OSnf64+9EK/LjdffRMA6oNUKmFQF1/W7govK0OqkMsI9nUk0Mseo8boBVaHrv+CAHfuOtCvf4HWMWNjgS6dMzl93plOoXXr5q+xp3oQ/u3trXj+mcFs33mWwsJiJBIJcrkUiUSKvb0lJgpjgpu7a8Wo1wWNweW/oKCIY/9eJTU1iwthMVy6FMvmvxZjYaE7y3xNKW/1z8srYs+uC0x/qne9KOHkMiOKlfpn2q8tVQn+Xy7ZjImpMeHnb9K93/2KBcGtvQhu7VX2t6mZguxM7Woy7bsGEhORQEZaLl9/sIUPvnsS9/95TNxTIuzddo5dW07j6ePM4LEdcPdyxNSs6vCpo/su0yrUB9emuvMp/frNHm7HpzJ3+ne0audD78GtcfNwQG7c+JRYjYmSkhLCwsK02l1dXXF1fTgMkiL1R538mh5m4f5Ojj2FKmM8re5iJNVtjZ4Z0pTXDkby2sEoCkpUDPdzIio9l20xeWQUKlkdfpsdE9pxNjELqQTau9pi1cjiyJs5xNPMIb7B1h8f5MqvlxNqJPTXBEEQuJaaS5eHIOGiiKgIMDQ18QKwtVCQlVeEtYHj4eubyt79DWH992xig2cTm7K/i5UqwmOSWb/nKur/hTFJpRICPO0I9nXCpLE8C+pA+BcEUCjUmJoqSE7OxMnJRuO4ra2S3LyG+fyGEP7v3FGw6ncPomPM8XAvYMbj8Xh5lio4jI3ljBnVWaN/eno2xcUq8vIL2XfgIoWFStTq0vcKiURKq5aetAj2rPF+KqIhrf7r/zyMRCKha7dgoiJv07adP0s/farO1nvQ6r97+3kmPd693rxujI1lKOvJ0n+PyhL8LVgykehrCURcimfbuuNIjaQIagGJVIJvYBMy03MJae/L4DEduHMrjW3rjiMIAkVFJbTr7M+tmym8MPlrfAObMHhMB27GJJUJ/QAt7Z/Cv7kb057tz6jJXfU6z5npuRzYeR7fwCb4BjXR2ae4SMnG344gkUoIauFOQlwqrz71A+On92TT6qNcufBkDc9W40IqAys3w+WAkEgF0tLSCA0N1Tq2ePFi3nnnHYOtJfJoUOsnQl0K+IIARSo5xkYlerlu14bjt4P55OwUmthlYKEo4uqdpoz2PczMlju0Xhq9bcz4qFcgx25nsPhoNKGu1owMcMbDygS1IDDxrwv0+P0UrRwt+KxPEPtvppJdrKKHuy3e9STkNnbylSqK6iEW7h4laoHMIiUWotb4oUVUBBgOfbwABrfz4J+ztxjbzae+tmVwCvV8ITek9d9YbkTbZq60bXbfyqJSqYmOT2f7kSjyCpRYmhszuKsfpiaNIAmgAYV/qRRUJQL9+3Zl1eptTHmsJ9dvJBEVnYBEImHTlkKmr8yt9Tq1oabC/9ZtLvywwpP5c67z9Iw4IiItmPtqC0YOT+KJabd0jrGzsyr7v6+PptVNqVRy6XIcv/5+ADNTBaNHdjJ4ToD6tPoXFBRxPuw669cdZtSYrhw+dImOnYLo1TukXta3lDtSolKhUNTfb0omN6o39/7ylLf6JyWk4+Rqg38zN/ybaV7bUVdvk59biH9zN/b8dZbw8zdZ9MlkRjxWWt1ApVJz7WIc2Vn5LN/wMp16Nic3O58ZIz7FytqMkPa+APy4aR7PT/ySfsP1D2f6a91xpj7TT8vrSa1Wo1YLhJ+/ycGd50mIT6Vrn2CeeGEgarWa4DZejJ7SjQkzetX8JP0HsLe3Z9euXVrtopVfRBfVehrUlwVfEODn8OH8FdsTW6sCsvJM8LOIZ1GHVdib5hh8vbAkf5ZdmsS657/C0qS0pJ1aLeH9v8fyzfkxvNh2s9YYX1szTidmEvt8L412I4mEjaPbarSNDix1afv5wi2eaGWCrD4CGqsgO6HqPaQWFpNaqBnnr0v1Ut6DVijXS9cYtVogJqGQFDsBRQUvOobUiMqNpNiayClRqxvF+RepmqISOd9dGs2hO6EYG6sRlAKT/f9hTMD9mvf37kmq5Lyy/4uKgOpRkQIgJasAR2sTXUMaPcmZBRy8eJvsAiU9W+q2LlWEoWP/AYyMpAR5OxDkXRoukZVTyLbDURT/T2AwM5FTUKTE2kJBSIAL7i5W9Z8jwEDC/7PTLrHgjWZ8+lEBR4+F4+PtzOTHerJ+kyt+nkls2bWNJyd3NcCGa0d1kv3dvavghxWebNt4Grm89Inm6JhO1y7pTJzaji6d0gnw13aXrgy5XE5oWz9C2/qRkZHLyt/20z7Uj9YhhlWy1YfVXxAEenabz8hRXVj+0xwcHKzrbK3KMDe2qdf15HKjerf0P8iDgv+NqEQ+fmMdX/z6vFa/gOZNeXfeb9g7WuEb2ITZr4/QuL8YGUlp0dabFm29y9o2/HqEpNvpSB/IgZSfV4Snr7PeyqnVy/cyYESolsCfl1PIrHGfcyMykRZtvXBtas/shSOZ/HRfBEHA2sacNh39q3Uu/qvIZDLatm1bdUcREUAi6FnbJP/VgXW9lzIWHZuFW5CKl8YcRmZUKvidvObJm8uHsGbQYqwU+VXMUD2m7XyTLx9fjbNVlka7IMCwZa+xdshiTOWaGUT3xKZiITeiS1P9Y8QzC5Xsjk1lYjP9NXD6COe1Ia2omJPJ6ajVAkpB4N7tXQ0ojKT4WJhreTo8+Kfu91JJJX/dH5NVVExKkZLBTesnS3hMdi5nUzOZ1b16QoBI/aNUGTF192ImDb3E+B7nMTISyC1Q8PHavnA3m0Udf9Po/+P5OGxMSkv7uFmaYFPOhVrmbkVdkJFXTEKmZvyyt4M55rVw4b6Vlkd2UemL3L27s7FMSoBzzTPEFylLiE7WFkrcbEywrcB9P8fahOy8YoZ0MLz7cV0gCAIHLiZwIykbF1szBrR1RyE3jOXUkAoAXeQVFGNmIicju5CLUUkkJOcgCGCqkDGuf/M6XbtCaiH8/7K2GX/+HciQwSlYWKjYs9ceZ/scPn3zCD+vOczsGT0NuNHaU5Xw//H/+dE6JIuB/bUTx50Ls2bdBjc+/ehqrffx88o9PPlE/zpT+NSV4L/yl90U5Bfx/Asj6mR+ffl99X6mTuurV1k/Q5B0J4OIawn00pHQUh/iblqwcnkzYqJskEgF+g2KZ8KU65iaVk+RcE/wf2/+agKDmzL+iZ5l5ffy84r4a+0xzC1M8A1swtkTUXTu1ZwAPRLvFRcp2bc9jLzcQszMSxXAdg6WdO6l3z1p/arDjJ/eo+x6VqvVzJ+xnLgbd5n50mCunL9JeloOT84ZTNiJaP7ZeoZJT/Vh4Mh2GvO0sHv43ft9fHwQ0pO48nR3g83p+e1BXP2CuHTpksHmFHm0aXS+znFZztyVuPLZ+NUa7Z2axTF7/HFWnRrMS202GWw9QYA8lZmWwA+lwmmvZlc4ndiMnh6aNez9bM1Izde/lEh2ghQpCnLS6l6QrwhBEIjMyuVaZk6Z9d1IImG4hwsSaJDs00eT0tgQm0B/NydsjOvOLa9IpeZ8WhaWclmNz78hPQ9EKmdTVE8Gdo/hsd73E9RYmBbx/sydTFkyjfgsJzys77tk25gYM+EBZdqVFE2PoJJb2Rp/G0oJ0N1fd1mo8Dva9xN9cbc3p0UTbUtZbeZUyGU81t6jWnNGXEygb5AzqpvpBisHWJesP3Kd9gFO9G2tX83v6lAX1v8HMTctVVjZWZvSu/0D1rY9V0lMyWmYkoC1sPzPnHSNSaOiOHTcjcIiI7585yIuTgX8+ddZJgxvfFapqlz+b9w0Y9pk3S78LVtk8+EnhrFKDh/SgR9+/ofWrXzo2CGAn37Zg7mZAi9PZ7p2qbwcmj7Uhbv/76v3s3vXWX5eOc+g81aX7X+fpEULL6Dy7P6GxMTUmOKimiXyO3PSkc8/CuWdd2No1/4mRUVSNq53YcZjffj5j4NYWOg/7z2L/9ufTePlx78lPTWHcY/34JWnfqBL72BmvjioLCFecBsvDu++yLtzf6N5iCf+zZvy/vzV/BuzDBNTBQoTeVkpPmOFnCFjO5atk5SQrnP923Ep7N8ehqu7PQNG3BfYm3o6kJSQXpa8TyqVojCRE301gd++28PqXQu5eT2Jf/ddxtbekp+3zNfwIvjmo624eznSYvbDL/SLiDQGGp3Qvz22C5MHntN5bHjny4zaOtOgQn+VCBIkOhzUw6Ly8bQwJVuongBZk/r0akEgW6nEUiavstycWhDIVZZg9T8BOq2wiNt5hVzJzMFYKiXQ2oKRnq6NprpAdxd7souVHE5KI1dZwnAPFyzqwBqx7sZtxnk1wbwac+cozVALEqyNSy2k1VEWiAqC2vFXXE9+f1J3hYYnhpxm04FezG27vsLxwVUJSYWav0NDhwToEtofpjmzCoo5cV3Aw84cqF0lgPrgwvVUZEZSfFzrxqPjHnUt/JfHq4k1+0/HolSqaR3kTJugBojTrKHwb2qqYnBfzWSxjvaW/L33Ml3b+xLoVz8eXtWhIpd/T48CrkVa0qSJdlnbaxGWeHpoVyuoCc7ONjz79GAiIm/zx7rDuLrYMnxoB77/cRddOgcZRDFvKHf/7Ox8Fi1ciY2NBb/+vqBeY+nLcyX8JjY2FrRu46vRXj67v8HXvRxPYPPqJ4ZUq2Hpu6Fs2nIBS8tSq75CoWbKtDvY2Rfz7RcteO2tC9Wa08VMxtpNZ5k4szeH/rnAG8+vIOxENINGtdfKgN9zYAhd+gRTXFhCclImjz/fnxkjPiX6agL9hrXl2qV4Zs4ZjJm5AqlUwvYNJwlp54tMbkTnXs1xcSt9BqSn5nB490XsnayY/HRf9v6t+e7epqMfh/65WCb0FxUqcXK14ZOfZpGVkUd8bDI3IhNp09FPy53/2qV4FAo5wW28qnUeREREKqbRCf1FKmPMKnDfryibfm2QSMDCKI/ELBtcrTM1jgkC7L8SzOR267UEvj6uDrj/uYcrY/pgpzDWez17hTHJBUU4mVacETu7WMk/CcnIJRJkUiklajW2xsZkKZWohdKIebUAIz1diMrMxVQmJau4hJicPJRqAScTY3JKSpBLJBhLpXhbmvGYj1ujEfTLY2UsZ7iHC8UqNZtu3mGSr+EtdX2bOLI/MYURHpovzfsSkrlbUMQwDxes/6coOZ3SnG+vjcfEqAgjiZqMIkueDtxKnya6lVG60FdBICoHdKNUyzFT6PaksbfKJ1epKTDUNs1n+Xwl/9W8AIVKFevP3cLc2Ignunjr7NPYFADJmQVcu5XBpF71FwNaX8J/kLc3TnbNcbbP49iFKPYcv86ALr5VD6wLDBDz36dbIIIgcOz0dY6fvYGPhz09Ovs3iJdZReiy+j8xNZ5ZL4TQq0cqRg9EjAgCLP0/P95aGGXQPQQFNiUo8P5zsGf3YPYfvEi/Pq0NtoY0vxCVqYLCwmKiohJo0cITI6PKw2E2/HmEAwcucOZ0JO4ejrRt689bi6cYbE/VpbCwmL+3nUSlUjNhYg+dfepS8Hd1s+PIwat06ORHYDP9hf+zpxzp3CWrTOB/kEGDU/nqy+p5w6hUam7fSuNmeBwTnxvIzk2nmPx0X75f/3KF8fdyuQy5XIa3pQuvvj+R/LwiYq4l4OJmh6OLtYZL/pE9l/j9h328uGg0yYkZvPz4tzw9byj2jlYMn9i5bI3CgmLOHIukXZcAEuJTOXssimuX4hgwsh1GRlKyMvKQSqXIZEaMmdqNCb3fp0ufYAaP6QBAfm4hibfTuRwWi4OzNU/PG1qt8yBiWHbu3Mnnn39OWFgYRUVFBAYGMmPGDGbPnl0WPlJd1q9fzy+//ML58+fJzMzEwcGBli1bMmHCBGbOnKnVv7i4mO+//561a9dy7dq1/2fvrOOrqv8//jw3193FxmCMGN3djYTSIAgWJhaioKJi/76I3YIKiiiCSEp3x2AwYLCNdXfeOr8/5gZjd33vdgf3+XjwYDvx+XzO3b3nntc7KSgowMXFhZ49e/L0008zePDgCucUFhayY8cOTp48ycmTJzl9+jQ5OTkEBgZy/fr1Stc2d+5cfvrpp2qvYeDAgezbt692F24imJzoH+R9hj8O3cfA9hEV9h2/EkAbh8h6z3GnIHvMdz2PrXqEnx/9AgerEoODVifw+sYpDHE5hoVUXWEMtU5kWafgWgl+gGHeruyKT0Wt06LSiugAiQCOCjnpxSXzWMuljPP1wLKKYik38wrYGptMsL0NWSo1VjIZkwOM14e4IVBIJWhqVmKi1myJSaKv+y2BotWJ7EpIQSfClAAv/rqZiI+1JXJJP766cj+f9vy/Mg9/gUbJ4lNPodLJGelz3KDrqs44cK8aBdo4RHL8SgC9WkdV2PfvyVZ0dy3fl9bQksGYRoC0PFu+PzKUEzdbISAyPPgcs3scwFpZ0YvY0Gy5mEC/Fi4EuNjU6HhTMAAUFmvIL1JzKTqdtv76e0AbC0NW/b+d5HRrXv5oMFlpUrwd0olM9yA4KJZA/y8Z3ttg09RxcfUT/4Ig0LdHC/r2aMGN6FRW/34cOxsLxg5r16je4ju53evv5VXM7OlxTJrWjUXP3aBjh2yuXLXho49bMLB/Gm1aG7cjQZvWfuw/GEaHkABcXWsf8ZOVlceuPaFoNNqSFm0qNY4ONhQWqrCyUuIV6MnaNXuRy2XY21szclTXCg/1by1bg7W1BR4ejjz3wiQirsXTp29bQ11irUlNzeaP3w/w4Nxh2NhYVnmssYR/80B3mge6c+JoBH/+dhSdKNKqtTcdqvFOp6Va0MyvSO8+QQClsmbPQdlZ+Wz4/TiOTjbk5xcxdVZfjmw9w+LF47D2dqnVtVhZK2nftWIRSVGEVu18GTKmM0PGduKHldv5ePUTej3wk2b1I/p6ElvWH+fMsWu8vmI2zYM8ee3pVYyd3JOj+y7Rso03m38/yra/TtCpZwtatfVh658nylpZ+gW4McEECn3e67z//vu88sorQEk9AhsbG0JDQ3nmmWfYvXs3GzdurJXwLy4uZsqUKWzevLlszGbNmpGUlMSuXbtIS0urIPoLCgoYOnQox44dA8Df358WLVoQGRnJpk2b2LRpEx988AGLFi0qd97Vq1eZNGlSra85KCiIPn0qf++dOHECjUZDr169Kj3G1DHJQn6zdrzOkzNOMKjjLeGfnmPNtDfn8FW/D/Cxq/rmXZec7TNpwXx2fTqO9oXYKIu4lujBBO+9TPf/V+/xV7PzGLjtMDenDEchrV+OviiKZKvUONTSgHC3cT0nj9j8QgZ56s+Trg95ag3XsvM4k56Ft6UFuRoN/Txc8LIqKU6TpVKzITqBA4mr+LzXh9gpykebqLQyZh14i98HvVpl3++G5G42CMRku/HssZdYv+xHbK1uieGrce48/X8T2TTu5XJtPH8PT6xVgcz6UlcjQESKB0+uf4yXpu1meOcraLQS/jzUidXbe7B27gqcrGtXAdzQiKLId4duMLWbH/aWdbsfNYb4z8or4uDFRJp72tOukaMP6iv+8woUjF/wAP839jtCvG/lka8/G8Lnx2QcWVNoMvcgQ7T5A8jKLmDbnktoNFpGDW6Lq0sj1DCoglLxH33Tku9XNeNGpBW+PkXMmxNDcKuGaUGoUqnZd+AiaWk5FBSq6N0zmGMnruBgb01ObiHdurQg5L+c9ry8Qi5djuH6jUR0ooiNtQWjR3at0qhSLJchiiLLXv+FA/sv4OnpRJeuLQlu7cvfm46RlpqNm5sDo8Z0Y/SY7jzz5Jd8/d2zDXLt+vjl593Mmj2k1lEixgz3/2fjKZoFuNG+Y9XFT6Mibfn8oy58+/2lCvvy8mDalE789rf+Z8+4mHSOHLqCIICtrSVDRrTnRkQShw+E4+HpwNgJXctek9tb+jUmZ49HsOufM4yf1putG07g5GyLRq3loWdGUlhQjIWlAnkV6SbmQn76MVYhv2PHjtGnTx8EQWDNmjVMnz4dgNDQUEaMGEFycjIfffQRL774Yo3HnDFjBr/99hv9+/fn22+/pVWrVmX7UlNTOXfuHMOHDy93zvLly3nttddwdXXln3/+oUePkvoSarWad999l2XLliGVSrly5QotWrQoO+/SpUs8/PDDdOvWje7du6NWq5k3b161nv6quH79Oi1blkQTXr58mdat619jpTEwSdGfr1Ky6MiT5Egc6RYcQ2yKAxHRzrzZ41s6uN3y9BujIF5akT1FWgVeVmnlRMWdHE1OZ3NMEu93azxLd30QRdgW35tNCUNQI8NaUsgM3230cW+4KqCiCL/fHMaWxIFIZQVEpm/m/mZteDzoL73RFYZAJ4oUaLR66wZ8eyWZU6nv8F2/T/We+9qZx3iw5VZa2sUZZW2G5G4wCBxPaMNbp+YzuOt1/L0yOHnJj5sxdqzs/zGeNuULCq0PTyxXyK8hqY0B4P7vFvHFc3/g7VK+gN7x8Gb8sqUzn07+wcCrqz1qrY6vDlzH096Sfi1c8LCv2otWFQ1tAPh00wWemdC+QeesjLqK/y9/7YJDRhRTOh8tt/2rAxFEpC1l+H0RjB1QMQUuPjmHzQeuYW+jLHvo12p1uDtbM7h7QIW2WQbFQOJfo9Gyfe8lUtJyGdIvGH/fho3cqIqatvdrCNRqDZcux9A62BelsqTw2v6DF0lJycbFxY7IqGQGDQghwN+t2pD92zl09joODjYEtfIhL6+Qo4cvsX37Ka6Ex9KpUwv8mrlx5UosxcVqWrXyZuHz9xvxKivn4IGL7N8XymtvzKxTaoixhP9vvxxi7Piu2NpVf898ZPZAXl4UQ6fOt4rO7tl9jnffSeDB+VOZNLV8lNuNiCSOHrqCn78r/Qa2LvOynj8TxbkzUYyb2JXsrALOnY5EEAR69A4iJiaNhMxCsjPzSYxNp0O35vgGuBEblYJWW/J8693MBU8fpxq34asNoihy6Vw0YeeisbRSMG5qLyQSCWePR9CpR4sa/+3Mol8/xhL9Y8aMYdu2bTz66KN888035fb9+uuvzJw5E2dnZxITE5HLq4/O2rFjB6NGjSI4OJizZ89iaVmzZ4pevXpx/PhxPv30U55++ukK+zt16sT58+f58ssvWbBgQaXj7N+/n0GDBtVL9L/xxhu89dZbdOnShdOnT9dpDFPA5ML7AawVxXwxaAUp+facv+ZHb2UOQZ1jQW38yvcuFjWrkH06LYu5LStWw24KiCIsCX0SP/9cVj3xLfaWhSRl27N88yQuXmvJ40ENUyjxrbBH8A3IZ9O0/7HudAT3d/Jj12U3Fux+lW97LEcuqb5tzdVsP1aevZ/EXAd0CAQ5J7Cw4wZ8rPV/qUsEodJCgYM8fdgRX/mHWS7RoKtl4cbGorLPSX2NAaIIoSmBxOa4EeCQSDvX6HqNVxU9vS6z5b4XORwbQvJVRx50P0G7dsabr67UNBXgZroLrk4FFQQ/lHQneeuX0Wi0krI2pY2FXCrhmcFBqLU6NofG09zFhk5+NW9NejsNGf4fnZyDl4u1UeeoDXXN+995KIDfpq+rsN3L3oqM/FW8+60lA7o2x/a2VovJ6XlsPnCNxyd3qfAgHZ+cw5qtF5FKBUb0CsTVyQivkQHy/QFkMinjhrcvab94+CphVxIYOyzEAAusP9VV+G9I5HIZHTvcCsUWBIFBA9qTnp5DQUExQwZ1qNO4l89e59H5I1BR0rv99JkIFEo5mZl5FBWraN3Gj8efGGugq6gejUZbJkYPHwrj2rV47hvfk/j4NF5fNqvO4xor3N8/wI2kxMwaif4PVh7j6Uf60aFDPqNHp/HRBys5duw6k2e8w8QpJYJfFEVOHrtO6Llo2ndsxqyHBlT4fF+8EIONrQXr1x5BIpXw2FPD2f7PWQb2eI0XXx3PlBl9UFlaUJBXRF5uEXu3ncPD25GbkSlIJAK7Np/mysVYho/vwpwnDevcU6s07NsRSmCrEoP8jo2n0OlEUhIzCekSUKV330zjkJOTw+7duwGYP7+isWXy5MksWLCA9PR09u3bV8E7r4+VK1cCsHTp0hoLfijJzYcSg4k+AgMDOX/+PBqN8SNa1qxZA8Ds2bONPpcxMZlPnD6RYkEuPd0qhj+ZAj3cnLAygmW0ITic3BFnTzVLxm0q2+Zhn81ns1Yx/etniMlzx88m2ahriMjxIV9pz0ujfker0yEANhZSJnY+RWKWI1vi+jLR70CVY5xOacWbR6bzQNFnuAmJAMTkB/Jo2nN8Pvhzmtsm1GpNgbYq0otUhGUU086pfKFFnShwMbMFS2xX1WpMU6M+xoBrGT4s3Po4XroYvIQYNogdSZd58vnYL2hmb5z3i0QQ6e9XvRXbOJUg6sbtRoDbDQApufb4uetveQTgbJtPvkqJvaVhKoHXF7lUwv2dfVl74madRf/tlBoAjCX+D4Yl8uCQVtUf2MDUVvyLoqA3fH98R2/cbH0IzbHC1rrkc1xYpGbLwQh0oqhX8AN4u9sx574OqNVadh67Qdj1FJ6e3r2sTaBBSU4yiNdfEASG9Atm7YaTBliUYamswr8p4Oxsh3M9giPGj+3B/1Zuws3VnpvJWZw+eQ17B2vGjuvBktdmNGjBxYsXojh65BK2dlaIIiQmZPDMwvH8tHo3U6cNqPf4xhD+WZn5ODqV1EOJuJqAtbUFXj7673dOzsWs2bCbQ/sd2bzFBifX7rh7nMbX7xfOnAzkclgcarWGgUPa8eiTwyqdc/ZDJa9FWmoODo7WXDh3k4L8Yj5c+SA5OQU4OduQm1PIzj1hqIrUWNtYYGtvxaRZfbG1swIgNSkLVw8Hg74WAAqlnKdfnfCftz+KrX+eoFmgOwX5xei0IphOCQ8z/3Hu3DlUKhUWFhZ07lyxoKRcLqdbt27s2bOHEydOVCv6CwsL2bNnD4IgMGbMGPbv388vv/xCdHQ0Dg4O9OvXj/nz52NrWzGlq3379oSGhnL06FHGjClf1LG4uJgzZ0qKa3fr1q0eV1w9R48eJTIyEplMVpbq0FRpFNHfWH3qDUmeWoONnel4lWrDhvihfDD3jwrbBQGeGLKLvw4MYWHwr0Zdw9aE/jw06CAAOy4lMbDVrQfi2b0PMueLx6oV/e+cmslDRW9hKdwKdfUTbjC94COWn3yEH4d8WKs1SSQCSztKePVMCJ/3vIifbYnw14kC75x/iInN9hmlg4QpUJ0xIKfYisc2PcPz1h/iLMss25+sduOhv15g2+wlWMiMk5LRlLndAOBbeI0LN/QXl9HpBOLTHShUKbCzMKGcbai2TWhtMZb3X1eHdqgNSU3F/9A+0Wy+0I37O1UsGrrhYncC/DZRrGqOUiHjz93hTBjUqpzXvzIKizUkp+fTu4OvcQR/KQby+kOJt/l2b6+pYEpef0MhiiI7d5/jQlg0fXu3oX2QNy+8dH+t0gMMhVqt4fTpazy24FZUwbrf9qNQyHnk0VEGm8fQwn/UuM7s3nmB40eucuTgVdJSc3hi4UgunL+Ji4stcx4eBEBKcjb/bj/P2PFdObjvT3ZtP8+8x4aw4svXKS5WEx+bwex5Fb36+lCpNPy77TwFBcXI5TLahvgycUpPbkan8vWnO7lw/ia7doTy5MKRZOn0f88bWvD/+fNBrlyM/S+EH6Iiknhy8Xj6D2+PXC7Dxd3w7WfNGIaIiJJaan5+fshk+iVi8+bN2bNnT9mxVREaGopGo8Hb25sPPviA999/v9z+v/76i48++oitW7fSsWPHcvsWL17Mxo0b+eijj3B2dmbq1Kk4OTlx9epVli5dSnR0NLNmzaJnz551u9ga8ssvvwAwfPhw3Nwapl2vsTC66L8bBL4+4vILGexZu+qopkK22gZP+0y9+7wdM8hUdzT6Ggq1Suwt8zlzMwOlTFLWDxzARlmEWlf1WzMq1xN7VWI5wV+Ki5BMVq6CQo0CS5n+tm+VMcz7JLnq7sw6MIRurk44KZ05nxHEhGb7mRGov7DO3Uzp5/f78GGMkG0pJ/gB3OUp9FPt5Y/LA5jdfndjLBEwfPV+Y+BsmYudJp2DFwLp3/5GuX3fbutLfqbAc99MI1104pkROxjb8VwjrbThMJT3X6vVkZxpGhES1VGd+J878QITn7yfdl43aeWeWLZ9V3gH4oqC+e5RP/7edxW1RodSLq2R4L92M52DZ24yZ1wH5PIGEnEGEP+dQ3w5ezGW7ibaq9uUvf614fSZCH79/SBWVkqeenwM3bsFlezQiRQ3gr1l89/HmDipYSq4G1r4Dx1RUlNk7iODeemZn7hxLYm5Dw/kraV/cOLoNZoFuNGhkz8TJ/fk8xXbmDGnH0vfeqDsfAsLBYEtq//M5OUVsWvbedQaLSPHdMLO3qrcfl8/Z8Y/0J201BwO7bvMlOm98W3mYpTifhqNlvDQmxzee4nr4fF4+znTs38wQ8d1KXecp4/p1Oi4W0hLS8PHp/Ztrp9//nmef/75CtszM0ue8RwdK4/uK91XemxVJCaWfIelpKTw/vvvM27cOD766CMCAgIIDQ3l8ccf5+zZs4wfP55Lly5hY3Orc1CbNm04cuQIr7zyCi+++CIvvPBC2T5nZ2c+++wznnjiiZpdcB1RqVSsX78eaPqh/WBg0X+3Cnx9WMtkJtVbuDa0so3m6I0g+rSo2Fv48LVWtLatf1vE6ujmEMaO0A64Ohxgbu/y+Tp7r7SlvX3VfY/z1FbYiJXXX7AgnyJt7UU/wCT/k4z00fHtlWKGe7fm5fY/ITOyh/+v6ASTFq4bopIYIt/O3ryK3vxi7Z/8fKEvSnminjMbhqisisYfU+T9Pl/xyM+L2dGqNRMHXKRYLeOLTf3RJeSxOugVpIKOYq2ct3csQK2RMrFr0y0YUxvqK/6lUgkeTlbVH2hCVCb+7WyK+fnDf3jpgwfRFGjxdUjlaooPgYE5/PLhZiwtLJgyouYFZM9dSSQqPouHJ9Wu97fBqEfIf8vmbvz61ymTFf3Q9IR/fn4RO3edo6CwGIkgkJGZx+Gjlwlp14wAf3duRCZxI7LEYFP6iKP+L9JCX93niGvxtAwqf/2iCCnJSnQ6AXePIirr7HX7M1Tp2KIocu1qPPc/0O+OY+t0uTXCWDn+Tz43ih++3sPSl37jo08fxMa2fD7zy69NrPWYhYUqtmw6jUIhY8TYTlhZ6Tf6yeUy+vQLBmDvvxeNUsjz3IkI4m6m8deaQ1hZW/DCsgd4/MWxTfbZ2NgIMolB2/8KUglarbZMWNeGnJwcvduLikpaSSoUlUeDKZUl77nSnPuqyM8v6UikVqtp3rw5GzZsKCv+161bN7Zu3UpgYCAxMTGsWrWqQsG+mJgYkpOTEUURLy8v3NzcuH79Ounp6axatYq+fftWiBAwJNu2bSMjIwM7OzvGjx9vtHkaijqL/ntJ4N+JRqdDpWu6Yd4z/bex9J9n+POpj7GQ3xJx6Xk2rD44gJ97LjX6GgZ5nmHm0fsY3LH8Q35GvjUfbrmPlR2qDs0PtIsjRvqg3n1aUUKO1AUHRd1bKUXm5tHeqZg2jtF1HqM2CMBEf68Gmasu7I3tQxchCldZeoV9N1W+5Cp6MdLuVu59XQoGRmZ5sje6MzKJlhHNT1ao0F8V68Mbz+BQG2wVhfw26g2OJ7Rh84Zu/BHen+W+H9O+2a2Kskqpmjf8v+DJf5cxoctpkwr1Nzb1Ef81bERjcogJKRWEv7d7Lr+u+JuMbEtSM63wcT+LtWXt02fSswoIu57K7LGN3NGgjl5/QRCaxN+1KYT7JyVlsm3nGWxtLBk5vBO2treMZE8tGFPFmbcovqPwmlar5eefdjN12sCybdu2ubDyYz/8WmQhV2jZss2ZGTOSmTcvvkZzqFRqVv/Y8FF1hhb+2/85y/yZX+Dj64y3nzMH9l5mzPgu1Z9YCYnxmezdfRErSwUjx3SqUbHAUpZ/NKPsZw8rWZ29/TnZBez46yTJiVnotDpG3d+dkRO7MW6K/r7lURH2bFgTRFKCNf4tsnlg1lU8vJuGgb6pIJVK8fau/X3Hzs5O73YLi5I21ipV5Q6z4uKSNso1KcpXOh7AE088UaHav4eHB9OmTePHH39kx44d5UT/2rVrmT17Nu7u7uzfv58BAwaUre3tt99m+fLl9O/fn9DQUAICAqpdS10oDe1/4IEHalWE0FSpsehvLJEfm+9GbJ473tapNLNJapQ13MmehDRG+jTdvA5f6xTm+WxgzIqXmdbrKK08EjkTFcA/ZzvzVtsvsJIVVz9IPVGLano7Ps6RC++wIAW6No/iRrIbp68359XW3+NmWXXYkJWsmB7eERyLHEEv3c6y7aIIO+QzmRJ0oF5iqZ2jHYeK0/klIgY7hRw7hYxBnq51H7CJMynwIP+GDWem3W8V9u0qHM6sNuXrL9x5v6jKCKDSyli4+yl0ooRxLY6i0spYtHcBAQ4JvNlv1V0negUBenlf5nhCW/yk8bS3r9hCRi7R0lwWzfVUD1q6mcZ9ryGpbd6/Sq1FYuDaAw1JZV5/J/tCnOzrnrawce8V5k3oVK+1GZQ6ev1FUWwS3kNT9PoXF6v5468j2NpYMnf24LJWb3VBqdaUE/6iWJJaU8ru3U78+LMrH6/djkJZsl2ng0/f6o72O28eeaRq4S+KIj98t4MH51YsXNcQth9DCv+RYzsxcUpJrrGLqy1degTy529HGTuxKxYWNa+pcTM6lcMHwklNyeHJhSMNUvG+OuF/8UwkDk42+Aa4UZBXxJ6t54iPTePSuZsMGtWBKXMH4O5VdXHXtd+25vhxTyY8chnPZrlEXnZk6cJ+TJt7haFjbtb7GsyU4OLiYtCWfTUJ3a9JCsCd4wEEBwfrPaa05310dHTZNrVazQsvvIAoiqxcubJM8ENJFMLbb7/NyZMn+ffff3n//fcrtBY0BFlZWWzduhW4O0L7wYSq999JSqEji44tQKoqpJn0JnG6QRRI7Xm/19eVtmNrKNSiDgtj9jyuJ1mJ1X+hdOASn/q9xd6LPdh1rhl+iji+CtiErEhXo/OrwsGz6pD6jGIVG28mMi/Im2fkK7me4831OF+GWIbzfO/vaizyFnf+laXqefyY/DrBRcfQCnIuW/Smv384s4Pq7yno5+FMP4+SHLSr2Xnsik9hmHf9jT3XsvM4mpKBVhSZ0dwHSxMrUqWPAZ7n+DViGP/mDWGI9T6kgg6NKGVH/gh01jZ0cb5S5fn6jIalhoA3Dj3EyOYnua/lrb7kE1sd5pNT9/Pt+XE81ukfw16MCaDWStl+syfulpXfyyToKL6Zjzovy6AhgU2Nmnj/cwpU5BWoiUzMobmnfg9GU6Cubf70cSM2gwBvB9MzhtTS6+/v60x0bDoBfk2jho4pCf9Ll2M4ciycmdMGYG1tUf0JNeB24S+TSbG0vBVevvLjZiz/ZleZ4AeQSODZN07yxANjeOihBGSyytV7ZmYe7h6Ola61IYw/9RX+B/ZeQq6Q0btvK/oPaoO9vRUjxnTklx8PoLSQE3szjZatqo/qS4zP5O8NJ7kYepMbEUn06tvKICH6sTfT8G3mgrullJWf7WLqvIGoVSXtkS+dj2bDzwe5djmOqIgklnw4k/07Qnn1gxnVivzbuXrJkVOn3Hnhk8Nlz3MhPVNo3SWV5fMH0blHMk4uRfW+FjOGp2XLlkBJWL1Go9FbzC8yMrLcsVXRqtWtjjqlaQF3Urpdq73VpjsiIoLk5JKuUEOGDNF73tChQ/n33385fdo4aZDr16+nuLgYX1/fckaHpoxJin6VVsZjB17iEauv8LOKK9ueqHbniYPPs27YsgbxRlfG+fRsbuTk82zbwHqNU19xXV8spCpGux4y+LjVXdeGhEQmegSiSZOQBbiQios0FVSQnaT/XH2GBKlEx3u9viel0JEjySHIJUW87PE/7BX5BriK8rSyt2F/YppBxjqWksGEZp5YSCWsuR7Lw638DTKuMZEIIl/2+z++Dx/HmzFvIUONRpAzutkxXmr1aZ288TnxEvLUllxN9eG9gd9V2P9Ul42M+/NdHum4BYlg+iG+UOKNOhDTgX+vd0EqiIwLPkY3zysVXp9rGT70CLjO2Uh/irVylNLyodtaUcLVggBaOpXc/yprA3gvUZX4d7G35Ilx7fj7WBQnribTobkz/m62WFk0zZ5QhhD/+05FM3+iCXn576SGXv+uHZqxZffFJiP6ofHD/XU6HX9sOIKrqz2Pzjds73W4JfwLCoqw/K8TRF6eFIWlCmvbimkoggDtOqcQdtGWjp305xIDODnZkpNTQHGxGqWy/GfXykpJQUGxwYwXVVFT4V9UpEJVrMHO3oolL67lekQSF8/fpEMnf3ZuOce8x4fQzN+VoiIVB/Zeot/A1nz/1R4+WFm51zA3p5B/Np3G3t6KNasPMOPBfnz46Rysa1Cwsyq2/n2G2JtphF2M4fPvHkEQBHxcbXhqxmeoVRo8vJ0IbOXF/GdH4erpQH5uER7eTkyc2bfWc/2+Opj7F1yq8L0nk4uMnnOFzb+3YO6TYfW6HjPGoVOnTsjlcoqKijh79izdu3cvt1+tVnPq1CkAevToUe14Pj4++Pr6EhsbW2YsuJPS7benKeTm5lY7dmnqV2kdAkNTGto/a9asJhFpVhNMUvRvje1ND9kR/BRx5bZ7ypMZotjFhsiBzA7aWcnZxqe1gy0j7vD4NraAbypcycvGTWmBrJYhhlW9vgryGaQsaW8lpkMWJcdWF3FQW9o72XE4KZ2+/3n/CzUapIIExX/W99j8Qg4npWMtkyICIiJSBHI1WuQSAaVEgkYUuZlXgFIiwUIqZbi3G6sjYkw6cqQUuUTLgrabWNB2k8HGvJHrTScP/W1fpBIdXjbpZBdb42hRdX0GU7gf56ksmLNpMS3k0Qx1PIJWlLD2WH8+k0zkh/s+QiG9FU6pkGoo1sh5duR23t7+BK/7f4FCUrJfK0p4PeJJpoXs1WvsuNcNAFWJ//G9AsgpUHEjMYetp2KQCAL3921e4bjaUtpS0UKhxtW+7rVCaou+fP+aEJuUTTNPe9N/UKmB19/CQk5RUdNsB9oYXv+EhHQ2bj7O5El9cHNzMNo8SrUG0VJJakoWUHIPrqrUkVYrIJFUb7zVaLR6Rb+Tky0ZGblGF/0fvPc7k6f2p3lzzzLhn59fzOkT12kW4Ip/gBs6nY7cnEKmjPsf2dkFDB/VAQdHaz75ej5KpYzc3EJ8/VzKPn9KpZyPv3wIO3urKmtUHNh7iY/e+RtvHydmPdSfnYfeqJfY3/jHCSJvlHhLHRyscPewJ7htL9b/eoTJ03szeXpvVCoN7fq0ruDJt7WrWWHU7CwF5467I5FA196JWNloSIyzwbel/kLLfi1z2HW0/u08zRgHOzs7hg4dyvbt2/nhhx8qiP4//viDnJwcnJ2dGThwYI3GnDx5MitWrODnn3/m0UcfLbevqKiI33//HYDBgweXbQ8MDCyr6bJnzx6mTp1aYdzdu0s6RgUFBdXmEmtEdHQ0R44cAe6e0H4wUdF/ML4D91lUzB0G6Gl5nO/in24w0a9PbJ6IycOt2J6QGt4UzZQgiiKns9KZ5VP/h/CaUFNDTE2NA73cnPj8ciRtHW3Zl5iGXCIAAkVaLXJBIE+jZWagT7UP2pNuK9jnZ2PFA/5erL0eW6M13G04KPJIzq88bDsj3wZ1ihr8GnBRdeTl3Y8yw3kz3ewvl21rYxvFrrSevHNoFm8OXF22vYVjPOEJ3rz/wK+oNTKe+vcNmitikKDjamFzNKKE+Z0+qnbOUgOAWfzfws5KQadAFzoFunDqWgpr9l5DEKB3aw8CPGof+v/9jj6sP9iVFl4p5BYqyc635LUZ2+gW1DB5qXXx+u87Fc2sMY1cvK82VOP1N3njRRU0pPC/HB7D2fORPPHY6AZ5zSw0Wnr0bM35czfo2CkQUSMnO0uBvUP571StViA81JW27Sr/nsvKyuOP9Yfo2TMYOz3PVs7OdmSk5+Dra5zaOqdPXWPrlhOs+20/vfu0pXlzTyiyZtiQRQwb1YH1vx7B08uReY8NYeWH/3A5LI6/d72Ci4stDo7WrPzwHzw8HQBwdLIpN7YgCGUt9Sr7u3y5cjunT95g9LhOjBzXmeaB7vW+plXf7uWPLS+SmpzDsSNXGTKiPYf2h3PiaASJ8ZmcPnmDAYPb0qGFa62L++l0sOKdLpwJdcK9axKiVuCLL9swbGgcXr55xETY0yyoovC/edUen2bVe3HNNB5Llixhx44dfP/99wwcOJDp06cDEBoaWtbmb9GiReUq/K9cuZKVK1fSs2dP1q1bV268l156iW+//ZYjR47wzjvv8MorryCRSCgsLGTBggUkJibi6OhYziDg4uLCiBEj2LFjBwsXLsTT05P+/fsDtwr57dq1CzCOKF+zZg2iKNKlS5eymgN3AyYp+uUSDcUa/dbcYp0FCqnhrP518dD7WVohr0cxnHsVtSjiIDe9iIiavAdKDQOPBfuzPS4ZQYBxfp4Gmd9GLsPNsn6he02VZjZJxGa5kl5oi7Nl+QeBq+m+2MtysZCqy9UE0FcUsLELfGcVWZOY6US3Vpcr7BvqfJwFV4aj1kqRS0ty1gQBnuz4J/NWLeDL2d8zvvNpbqS6k5pny3tbvHily8+1mv9e9v5X5fnvFuRGtyA3RFFkx+lYTl5NYUr/wBoJoiOXAljy3ViKimT4uGYxvNMlxve+QFaeFbM+eoh3526iQ/OaVSQ3BDUV/6WeRJPL5a+OKrz+tjYW5OQWYmfbNKsnG1P463Q6du8NJTEpEz9fF2ZNH2iUeSrj5pVYBo0p8Qa+/HI0y54ZyFuf78PWruQ5TVUs4cNXejN/fgLSO8rXFBWpOHMmgvi4VCQSKQ/OGVrBw1+Ko5MNly/FGO069u45T3GxmqzMPG7cSKBL1xYMG7SYoCAf5Aop3/28gLS0XA7uvUz3Xi2ZOrMPvfveyld+93+z6jz3O2/8iaWlgu69WjLn4UFlKRP1IS01h7OnbhDk/RRRKV8xeXpvAMaM76K3i0Btq/p/9XEH4qRqBi0/XLatzaQITn0fQohHAX992ZaFHx8tF4WnUQts/7kVK77fV/cLM2N0+vTpw9tvv83SpUuZMWMGS5cuxcbGhrCwMHQ6HWPGjOGFF14od05WVhY3b97E39+/wngeHh78+uuvPPDAAyxdupTPPvsMPz8/rl27RnZ2NlZWVqxbtw5X1/IGva+//pr+/fsTExPDgAED8Pb2xtXVlRs3bpSF/z/yyCNMmjSpwpydO3cmJqbkfqFWl9yLoqKicHG5lSa2aNEiFi1apPc1WLNmDXB3efnBREX/+IDDbLowmDnyXyrs21M4mPHBR2o8ljHC7q2lMoJt7A0+7t2OQiIhQ13MhoSbWMtkDHHxbDLGk9vfR/3lzf7bVvK7odMI7jVebreaOX+/wjuDv6eDWySiCAdj2/Pu4Zms7Pq/Csfr6wzQ2Bn/sbluNLfS78USBPBQppFeZIeH9a2KuCMDTmEpVTHnmwXIFSJanQSpqGZJ19V0riTloSbcq97/qsS/IAiM6uZHYkY+6w5cZ/rAqgsQfbGpL2dOufL9wHfxsUsls8iGbw5N4N+Tk/li4R9888xaFv84kTWLVhnlWqqiupD/C9eSad+y/l7CRkOP179HZ39OnI1m2ICm63ExRp6/Wq3h0y+2MPWBvgwf2jj1G9RqDa6WCoqB3n2yWPwivL5gGFa2RcjlWlKTbHj88TgmTUqpcO5Pq/5lzNgedOjQHBubqg06Tk62ZGYax0OckpJFTEwqUqnA5189xfWIBFZ+vBGJVMDP34OhA7uzZetB+vRvzTMvjsHewQqFwjCPz3/9fhxBEBgyoj1Kpdwggh/gs/9to7hYw2OP1LxjQ02Fv6pYwsEDXgz+YH+57YIAgSOj2PlGX+ztVbw4bhTegTlMeOwSORkWbP6+NbMfvYSjc+PV5DJTM5YsWUKHDh34+OOPOXPmDElJSYSEhPDQQw/x1FNPIb3TglcN48aN4/Tp07z77rvs37+f8+fP4+rqyvjx43nllVf0VvZv1qwZoaGhrFy5ks2bN5cV93N0dKRv3748/PDDegU/QEZGBunp5VtM63S6ctsKCvS3jzx58iRXr15FJpOVRTncLZik6O/tfpFVitHsz+/PAKuDCEKJJ+9YYQ9uSFrzuvdfFc5pyJz6piJUa4tOFDiQ3pV/kgdQqFPSzDKRaV7b8bcyXA/0B30C0YkiyUWFrEuIZnYDhfobk6ree2aDQPW0c4zi/U6f8f2p8UTneaMTBdo7XuOrHu/jYqE/L/B2cuIlFGUI5MRLqmwNaEzcrDKJL6pciKWqHPUWmBzgF8oAv1CKNXIEQSyX919fzOK/ovj3dLLG29mao5eT6N1Gfzh5XJoDuw4H8tuoN8q8VI4WeSzuvoZlx+ax61wwwztfISPX2mjXUB1Vef3Phicxd3yHhl6SYblD+Lu72pGcGt6ICzIchvL6Hz0WzuUrsTw6fzi2to2Tapiamk1BYcl3XGlxv779stjS7xzp6XI0GgE3N1WlNVfsHWzwqWG4vkIhR63WVn9gHdi65QSvLp3KubM3CAryYfeucxQWFvPq0hnExaURFhbFwmemYelo+NoSI8Z2YuKUHqz6di8PPTq4+hOqITUlh/jYdIJae5GU96MBVliRqOv2OAZlVPi7ZkTZEfplZz765gDBISX34fALzrz2TF8690zivc8O4eapX2iZMT3Gjh3L2LFja3TssmXLWLZsWZXHhISE8Ntv+lO3K8PBwaFGY9/J7e3/akv37t2rrL3RlDFJ0S8I8FX//+PTi5N5Lf4dLIV8CkRrenqE8z+3FeQmN96yVTotirtQ9OtEgdeuPoWPRRKvBX2DozyXS7nN+ejGQ0zx2skA5zMGm0siCCAIWNXSUtgUqcwgYDYGlMfPJpm3On5b73GqSwMwFu7WWQgKCTcLPGhmlVRu38WcQHwc07CUV/43V8qMV6jsXhb/+oR//xAvTlxJ5uutlxjXoxn21kpsLG+FFP+6uwuPtPlbr1BZ0P4vlmx7luGdryCYQEeJO73+Wq0OuVzSpHPgy6hhdf+mSH2Ev0ajZc1v+2kT7MvDDw038Mpqx64955k1/VYrq9vb+Tk7V31P02i0jVaAtfSBXhAEVCo1N64nciU8jreWreWxx0fzzLMTiI5OIqiVL9FRSUy4rShifdr56cPaWklaag4SiVDvz60oikwc+T4PLxjK3EfqZkCoibffykqDOq9iGsaFH9vz2ff7cXEvLNvWun06X/62i/cW9zQLfjNmGhmTFP0A+clS5rv9xTzXv1CLMuSCpsZfECqdjK3Jffk3uScaUUormxhm+G7Hy6L+Ldcy1SqUkrtPrG5L6UegVSzz/DaVbWtrG8nHbT/k0Qtv0N3hIpZSwwlVJ7kCmXD3GU9qyp3GgIIsk/0oNlka2gAwptVxnjyyhAW+vzPc5Rg6UcKOtD5syxrI2knvGH3+6rgX8/4r8/r3CHanS0tXDl5MJCOviNwCNf1DPAn0tCc10xofF/0P9u7WWeTkW5CQbo+dlWn0mb7d63/8Qhy92vs08ooMyG15/lKpBK1WZ5Be5aZAXYS/Vqvly2+2MWfWYOztGy/SpJS8/CIs76hHc7vwr4p1v+1n3H09jbU0oEQEf/j+etw9HNHpRJycbAhp35zPPtlEq1Y+ODnbEnMzhbHjetCzV2ve+2AeCQnpODrZ8Nmnx/ny6+489cz4cmPWtJ1fbXB2sUUqq99zpUajZWifZaz8ah5dutevnXR1wt83IJfiJBtU+TIU1iXHFWQqcbZVlxP8pbh5FiBX6MjKUOLgZA7tN2OmsTAJpVFVeLQggEKoechrsVbOMxdfopPsFM/bf4iFUMzl4ta8EvYEC1uso5PDtXqtNbogn2Cb2leANnV2pPThg9YfV9iukGgY636AvWk9GON+yGDzJauK8LNs/IcWU8IcFWA8jG0AWHzgUa4UtCAgIJffsiaxLmMcKo0ML7s0Nkx5Ayu5aT3o3Gvef33iXyaVMLhjiegSRZGf91wjJauQ9i0SOR7ellbOFWs0nE1qSYBXOo9/NoM3Z//TMIuvIWJCCpHxWfTp1ARaXdSW5CTaBXsRdiWBDm3vHqNGbYX/96t28eDMQSYh+AHs7axQqdQoFOW9vtUJ/+zsfPJyC41+HQUFxWzfepJRY7rxzVfbkCtkfPrZEzwwuR+/rzvA6VNX2bJ9Oc7OJc90g4d0LDv3y6+fqXRcQwt/QRDqVXjzz9+OkpVVwI+/PmWQqv9QvfBf+PI5Plzemx4LT2PrXoAqX46jY+Xfc47OReTnyWsl+tev2s/+naEc/Hd+rdZuxowZ/TS46Dd27v3qmHH0V+xhgPWtiqJtLcJ5VfEub19/nZ+7vKG393VNSVMV0c3B2RBLNSl0SLCW6fdc+VokE54XYND59qUlMdPbsGPerdz5mTEbAeqHoQ0AW6735EB6L95+Zi+j+12nSCVj7ZZ2bNwaiKdFLlfS/epVmM+YmMV/CYIgMGdoK37dF8HkAecY+c/jjA08Uq6jhEor49VDj4Gtknfn/k2nwLgGXXuNyMqpttBfU6Wtg4Tfj8eZjOjPyZWzen1rdh8qMbL06x7P/OmXcapC+OijpsJ/w8ajDB/aCQcHm2qPbSi6dmnB0eNXGNg/pMK+qoT/1i0neOSxUbWer6bRnnFxaUx9YDkajRZLSyVvvPYLffu14/ChMP766zDffLeQvv3a1Xp+Y3LudCSdugRwMTSGgOZudO0RqLcAnyiKaDRa5HIZZ09Fsmjhz8ikEl5+fZLBBH9N6NormTffPMVXn7QnJV2JTisg5ioRxYp/J1GEG1cdcPOsWNemKqY8NJDJcwdUe5wZM2ZqhtFFf0MW2AM4lhHCW87rK2y3lhQSorjAmezWdHOo2FarpoTmZOGmtLzrhL+VtJCUYifclBkV9l3IbUmwdZRB53NWKJHdhbURGgJ9nymzIaBuGMIA8O75+Wz79le83EoEorWlmkcnnyPAJ4v165rx65VhJiv6S7kXxb++fH+JREClKeCThX8x+5M3GdPsEF1cr3Ij24tfroxi7oRTzB1xshFWXD35RWpsLEo8rnej8JdIBMSsrMZeBgDJqZbMfHIEjz8ey1/PnEciEdm2w43Jj43mx//toplvXq3Gq074nz4TgYuLHQH+ptWVwc/XlWMnrla6X5/wP3L4EvZ21rWu/g01a8269Z8TSCQCmZl5pKZkMXvOUBITM3hx0QOs37AUJyfbWs+rD0N7+x96dAgfvr2J6KgU+g9qQ1RkClNn9il3zP49YSTEZ7J/dxhtQ3w5sPcS02b15YFpvXBwNHzURHXe/tbtM/j0h/1lv3//cXv+/LkVk+eUf0+sXxVM70HxyOW1d7jdFfVJjIhGo+Hs2bMVtnt6euLpaZi20mbuHgwu+hta5N+JDE2lnnw3STLpKoc6j60TRbamxOFlcfeJ/ileO/kieirLgr4qZ6VNLXbgSEYn5vluMuh85tu4YTFHA9SfUgNAbcR/RIY3bYIyygT/7QztGcX7X/fG1XAF+Y3OvST+9Xn9lXIpUolAh+YJ7Pzfl2w5HsKxm33xCsphy/zvsbE0rTSN20lIz8fL+VYV97tR+IsiJlHg75V3e/Px/67SPiSnbNvY0ckE+Kfy7JJ2fP3hTrRakZKatULZd2rJzwICt7aXihohKwKJg2fZMaIootOJZGTmcuVaPLOmD2z4C62GLdtO0b9PG0RRrFSc3S78RVEkIiKeuUYqQPjVF//g6GTLtOkD6dOvHdbWSg4eCOODjx5GXoM6A7XFkMK/bYgvb7w3lV9+3M/ry6fwwJiP6N6rJQHNb32GJRIJ589GMWREe06fuM6jTw5n5FjjtmqsaRs/gHnPXuB/b3TnpYcHMWRMNKIosGdrMzx98njujVNGXWeTQC7Ra2yuM1KB9PR0unTpUmHXG2+8UeuK92bufup9F2xskX8ngkSgUKfEUlLx4eyaJpi+1jvqPHZkQR7ftu9JW1uHeqzQNOnucIlref48fekVpnntwE2RzunstuxM7cMbLb9CKjROKzQzdcNsBKg7tfH+J+Y50yawYv9pKAlxtLDQ0EZp2CiZhuBeE/+lD2IyqYBWV2I0lst0TOwbCn0bc3U1JymzEH/38l7Mqlr7NUVcHa1ISsvDg1sF/hqa/AIZGTlWZYL/0uUYTp+9jkQiYGdrRXZ+EEdPZ+LiqEYURURKxK4o3vqfsm3lt4tEgpUzoigikQhIJBLkcikzp5lmiHNhoYqdu89jYSFn9oxBlR5XKvw3/HmYAQPb13m+qpy+hYXFODrZkpqSBYCdXYkBbNBg47avNKTwD2juxuvLpwDQq18r/vj1CM++NJZjh69y6vh1Du67zOffL+Dc6Y7kZ/my8TeBjPQEJk6JxtLSOO0MoebCXyKBl94+SWqSJUf3lUSuLH73uN7ifmYMg7OzM9u3b6+w3ezlN6OPWot+UxP5dzLBcx9/Jj/AbIe15bbfVPmSLTjT0rpicaaaEpqTyTh308gnNAazfLYyzPUY21L6cTKrHa1tIvmu/TIUkibkqjSjF7MRoG5U5/1v4RjPT+H6o360WoHoZCe+Hl3xC7kpcDg2g4TwROJyi1hnoDFvf2g3ZhvcWs9zKgaA6yo1/do0zTZxaTlFdAvS3/P8bvH6xyRlM6xX81sbGsHrn52jwNEpnTW/7Uer1dG2tS8PzhxU5uk+erwVrQKVtG2VWec56trOr6GZ8Z8x4td1B6o8rqhIQmK0gpwckYCAuv+9dLrKP8yrftiJvYMN8x8ZWefx64oxKvo///I41v50kMfmfI2HlyPnT0fywPRBvPzUfdw3OJ6v3jyATKZjw7bmPDhxEJ+vPoy7h2l0FHH1KGT89OuNvYx7AplMRufOnRt7GWaaCDUW/aYu9ksZ7X6EiLzpfJC+iKFWu7CV5HKmqAuXNSF82PaTOo8bXZDH0qvn+TU+it8797tr89HdlRk85Pt3Yy/DjJExGwFqR2Xi38s2HTG7gDOXPejSJqncvq/Wd2Ww+wlcrHJoitgoZLhZi0xpfctjcLd7/pNzijh4KYn7evo39lJqTZFKg4Wi8q/0pi78L99IJTjApWIYeQMLf1fnIm5GlxQsmzOrYi/0w0dceG5O/cRXXdr5mSIqlcDS11ty4ZwlLf3SOHHBnUN72vDO/93Ay6v2qTJarX7ja2ZmLidPXuXTz5/Eysqivss2CQRBYNbcAei0IsNHd8TZxYZlL/diyRMXGNg7sey4h6ZepVfnZF57sQdfrzFch6U7qU2YvxkzZkyTu065CgIsbPEbi1uvJcWiBRekvejpHckPnd7CVZlVpzGz1SqeDDvJ1yE9eL55a8Mu2IwZEyArUVH2z0zl5MRLyv6V8n+9P2Hp8l4s/6I3YdfdOHnRm0eWjubMbgve6/N1I662fgQ7WxOVVVBuW2nY/92Ku50F1tlFfPGTaRbrqw6xmrCG0nD/psiR87H0rawdYXKS/u1GQC7X0bd7PhcuNiMmprx3d+duVzx9i3hzZY96zyNmxdd7jMbmofnt6OV/nu2f/sgnL/zN01MPsnTaP8yb3prs7Npnl3bp0pKNfx0p+10URVb9uJO9e87zw6rny0L6GwNbuf4om/ry4PyBeHg6IIoKoq7ZlhP8pQS3zEKi05GSbFyDh4eVSXT5NmPGTB25az/B3pYpPOK/ySBjFem0vNYyhB4OerwMZuqEESN7zdST24V/U4kAaIz3U6nwd/LO5c9Ri9l7sxOrP+mGQqLm4WaraR8c2QirMhypBSoSc4pJyC3Cy/bWw+Tdnu/fPcCJK0k5lVb4N1Vc7S1JySrE3bFq4dMU8/yPhcbSs301nu8G9PgveeY0HYfP4kLYWt54NQipVOSPjV5ExVjxw08XmDM9hMwsBY4O9bt/NmWP/5mz9rhYpjFhUDgAf++7yqCu/ni7p/HU/Qf5+ce2PP1c7dItW7cpMfr8teEwk+7vS0xMKh7ujowa093g668LxgjzLyUnW46nW+Ut71oGZJGcZImbu2mE+JsxY8b0uGtFvyE5m53BQGd3gwn+uJtqg4xjivg0k9foOLPp5E5M8xVpKgaAxnz1SsX/UP+zDPWv2DqnqeJrZ8krfQJZF57I9DZeFfbfreJ/W1gic3r5A5W39jNFWvs6EB6bWa3oL6WphPuLosjFiBQefaBiheoKNJDwzy+Q07FjEt17FbLzoBs6ncCEKcl0654NQEiHXCJv2tHFIa3eczVV4b9lqzNThx4r+72gSI23ux0A9/W/yoRX+9Ra9EOJ8N+75zxXwmPYueMMs+cMNdiaDYExhL9KJWH3Dm9OnHNnzNzR9OyYzKMzL+PueqtAXvh1J+b4GD+P3hzmb8ZM08Us+muAWqfDUqr/pbqbBXxdqOnrkZ6nJa5IXWMjwd2P6cc+mHodgCtZFdvmVUewQ/lq53UZo4yskv+s3W7lnbZ1LT/+pdR6jH8HpWNfSs2tMI+huJCai5dN1SGj6sisu0r421vIySvWYPlffry+1n6miJezNQcuVgz9rYqmIPwPnL5ZvnhfdTSA8LexVpOdaYelVQJPPn2jwv64GAtcnQ3ncW2qwv92P4nujtQTST0qeU6c1JsXn/+WN96cjZOTce59pkJBgZSHZw1gxOg4dh7ehqWlhoN7PZj+9DBWvnGY9q0zOB3qgtJai5Nzw7QUNQt/M2aaJmbRXwVxN9Xka9XkFIrEFZvFvTGoiZGgsQwDUQVeRBb44KLIor3ttSrbBd2LlBoBTEH8yyV1++NcyMjmRs6tkElHpQIPS2W91pKfUuL519irWB9+S4R52ihxsjDce3lHZCo5xRqaO1jyx5VE2rva0crZ2mDjA5xLyuHBkOrFxt3k9fdxtCIusxBX2/LGDlP3+tc1Es3UhX9cSg4Du/nX7iQjC3+FQoe3ewESWrJp4xEmTOxTti8hQUl6qhQ/nzyjzd8UGDM6nbXfdaBn+zjOhifibG9Ztm/LoVYMHJRV1sqvtmRm5vHQ/JG0CvY15JINhiG9/Z/9rx1zH77G8NFxZdsGDk0ipGMmj07vz9ghUew83IyvfzFeET8zZszcHdzzor860XkwP4nBNhVDWxsCUYRkjRtapHjKkpAIpu8NNgZV/Y2MYRBIV9nzevjjWIvZtJRd45g2kP9pZrKo5U+0s2vaedrGwBRSANQ6sYLXvqa0d7I38Gpu0c6u8nZ/9eV2735XTweOx2fxQ2gsgY5W9PF2RC6VkKfSsDs6DblEgoVMQnaRBku5hOxiLUqpgLOlgv5++oVsab96SS3E5N3g9W/hZsOPRyLp5OdYYZ+pCP/zN3xY+29nsnKt6N42hhlDTmNtUffPnqkL/zphZOH/7stHmfrEJPxbfMzYcQJSqcjePU589G4AX7+7x+DzNTVvf9cu2fxvRTO2HGxFelYoc+7rAMC1m8589kc//toQWqvxcnML2LH9NABRUYksenmqwdesj4hr1lyPsMLHt4iQ9jWP1DKU8D913I1FSyu+Vs4uxfi3ykVlLWPNpr3IZA37fGj29psx0/S4Z0R/XcLwtaJIlk6FUiI1woqq5nRBJzbm34+fVTJyiYaILF8GW+1mmPXeBl+LKWNog4BOFHgxbCHzbb/FXxFTtj1Xa8N7117h/0I+xU2ZUae13guYggHA1Kis3Z+h6entQE9vB+JyilhzKQErmZTkgmIe6+gLImSpNLhaKShUa7H+L3Q9NCWHny7GYymT0NPLAb/bvHE/XYxnfFDthWBT9/rLpRKcbZTkFamx0ROZ0Zjh/qIIL341gbwkLfPbbMbVO4v9NzsxZtGjfPHCBkSu1X1sExT+RcUalHXwBJdhJOGv0+m4EH6eicP3kZZ5H1PHhyCK0KNTIuu+2I6bS2H1g9QBUxT+Op2uQuh+Kat/DOPVpZ05cKCYf0/KUWu6I7OU88vPl3BwKBGM1Xn7dTodP/+0G3t7a8bd15O42FT+3XnGKNdyO/HxSp54sjUWjvn4BGeQstWV5MiWfLbyKq2CKy+oZ2iUFtpKowzbhmTi55/X4ILfjBkzTZO7TvQbMsdeKgh0tXRhX14CgxrQ23++sD371CP5ptN7WEhLhJNWlPBBxBx25kkZYbOrwdbSlKnsvVCVMeBIRgfayS6UE/wAttI8ptqs47e44TwbuM6g67xbMaXwf1OgocS/j50FD7X3qbDdXV5ivLS+rZd7Bzc7OrjZodWJHIrL4Gh8FiDSyd0OjU5Hsabua23KXv/72nvx8/ForJUynK2VdPR1wM0Ewv3XH+iMbU4K7wxcU7ZtevAehvieZt4nr/P4xCMUqTRYKOr21W5qwn/PiUj6d6mkTV9NMZDwF0WRC5fjOX8pDgEY1CeIIf2CgVTgn3qPX+N1mJjwF0WRaxHx7NkXilwuIzWtpJhhcVHJ92+XLvtoFyIh+mYR3l4XsLHWcuC2SPTStBSVtGIHablcSlZWPuMn9MLFpSQiq0VLb7ZtOcmlsGgSEjIYNryzwa9JrRaY/WAIc948infALe9+ZooFjzw+gL83nsfRsXovtyG8/apiKWq1gFxeUdiHnnNm8PDGa+1o9vabMdO0aNKivyGK6LVU2pOuLSZVU4irzLL6EwzAxvxJfNJhRZngB5AKOha3XM2cM28y1HoPUsG4wuFuRt/7ptQQcCqzDV0s9OfGtbe4yKbMB4y6trsRs/e/PA0l/muDVCIw0M8ZgMwiFT+GxjM3xJvPz97k9T4t6pwvXlevv04nkK9SYqUoRippeC+WQibl4b6BAKTnFXM2JpPk3CJm9fAvd1xDC/9f/+3MD/3fqrDdzTqbvu7nSM1uQ2xqEi29Heo8h6kI/6j4TNKzC3F3tqn/YPUQ/jdj0zl4/Do6UaRDG28enNyj0Vv3mpLw338wjEfnjcDHx6Ve49Qmt//shS957OGVyOUyBgwMQaEwbJrfpk1udBwaXU7wAzi6FTH8wcusWuXN88/fNOiclTF2wk1++DqYx58OL7f9cpgDebly/AMat3aEWfibMdN0aDKivzGr5DtKFRTotA0yV6HOAmu5ChtZxfBAiSDSwf4aUSp/WijNueWGpPT9pc0vJF+pv+VVkahELpgLOtYHs/f/FjnxEpMS/qU4Wih4rrs/356LxV4p47vzscxt74NCjyeuptTU66/SSHn/30kcjW6Nm0Muqdm2dPCM5LVRf2CtbJjK1HfibKNkWBsP1hyP4reT0dhZKhAAiURAIghIwpOQedohEQQEgf/+F5AItx0jEcqfU/Y/CJT+ftv+0rFu+10iESgsyKRIk0PRf8/YIiVV0XUieCjPkZzlwoWoS/US/dC4wl+nE/lz12WsLeXMHtu+UdaQkZnPjn2XiE/KpmsHP2ZM6oa0Hu//u5m4+HSGDOpQ73FqWtTvjdd+xtnZlpdfmUqv3m3qPa8+9h90pNcM/TUHug6O46uFQTUW/fX19j84/xqvvtCd557oxbRZ17G1U/Pvdh+OHPTgqx/NxfvudTQaDWfPVmwV7OnpiaenZyOsyIwpY7Ki35Ra4UWqchlpUzFc1jiIVNXJRkRAMEB7N5VOzsnCruTpbGihuGE2IvxHP+vD/Jo1lQ6WYRX27ckfwgj3442wqrsPs/gvwRS9/lAiXB/vXBJWnZhXxN6b6Yxs7lqvMasT/qIIc395hgeGXGDZgs/L8lh3nglm5urn+PPhD5FJG+91auNlz+noDAYFu2Mpl6ITS0KbtTqx5I7sbY8olohw8fZ9Imh1unL7SraLqNQl5+r++710LK1Wd2s7oNWKiIjkqG5wMqEIpezW96PkP0PDmVQl3i6RWCsN4/VsDOFfVKzhu7/OMnVEW9ycDNuJojpvf2Ghin8PhJOVU4iTgxWjBrflwLEIBvVpZdh1GAhT8Pbn5xdhbVW/bie3U53wP3wojH17zrPt33ewsTFe5KWVpZaCXP2fo4I8OZZWtXMC1Uf4CwK8t+Ik167Ys/mvZhQWyujdL4lnXghDYiJ2KLO3v4ZIpYa9p0okpKen06VLlwq73njjDZYtW2a4ucw0CCdOnODEiRMUFxcTFBTEyJEjUSoNd481GdFvSiL/TuSCpMHC+SwlxRRq5OSorbGTly8WoxMFLma3YIrL6nrNcbSgF9uKx3JfwBHaWGdyOGEIv6XP4Gn7T3GQ5tRr7KaOjzwBR2k2v2VN4X67jSgkanSiwLGCnpzI78brNu8Qd7Pky62xWgneTZjFfwmm6vUH0OiqNkTWhqrC/Q9fb01L/3Qm9z9XbvuILle4EuPB5gtdmdTppGEWUgc6+znRyt2OTefjaeFqTY/md4Qz5xQbPdQ/foKCiAvzeLbzn+W2ZxVZ8+H5WQzwfJahnQMNNl9DCf/s3CK2Hb5OUbGGhyd2wtKArS3L8Z/wLypSExGVQkRkCkXFGnQ6HQqFjGH9W+PoUBLpVVho+vekxhb+/+4+x4hhnRpkrj/WH+SFhd9wLXIVFhaK6k+oB9OmpLDiuxY0b3uqwr59f7Rg+tRko86vj6DgbF589UKDz2vGtHF2dmb79u0Vtpu9/KZHdnY2X3zxRdnvQUFBPPBAScpwUVERkydPZtu2beXOCQgIYPPmzbRpY5iopkYT/aYs8u9ELkjI0hbjIDWctaUq7rf5k1cuP8WHbT/BWlYEgFon5Z1r8xlitate+fwRxYEcFwbwx4jXkEtKrNWjfY8SnuXPG0cX8prjW/d8P/qHHX9kV94QlqW8hlTQoNIpaG8RxlK395ALt6zZd76HzUaAumPO+zddr7+vnSW7otINOqY+r/+miz14fPIJvcfPGnKKZ1dObFTRD2CtlDGzRzO+OhBB9wDnCsZgY+f4zxp6iscvTOW1I48wv+1m3Kyz2B/Tkc/DpvDhk39zJU5EZuAwdGML/5sJWfx7LJLZY9tjoTTcI4koisSn5HI1Oo3k9NsN6BdJUUvw83Zk1OB2WFoaV0Aam8YU/jm5hdja6k+HqyuVefs7dQqk/4AQQto8i5vXs8iUQ/Fwd+TJx+LoPyDToGvo0jUbq2+82bEmiGHTIpDKRHQ6OLbdj9gLnox9/XytxzRUCz9TxeztbxxkMhmdOxu+mKUZw7N3716WLl1a9tywYsWKsn3vvfceW7durXBOZGQk9913H+Hh4cjl9dcYDSb6m5LIv5PeVu7sy0tguG3DhPiHWFxCJwo8ff5FnC1ykEs0xBW4MdJqO/2tD9dr7C2F43ij76oywV9Ka4doWrvGciW/Fa0trtZrjqaOIMBw2z0Mt61dr+Xb3+NmA0Ddude9/6Yo/mUSgbQCFS5WhhNIdwp/tVaGUq7/odFCoUalNZnANMaEePHjkUhaedjRt0X5tAdjCn+JROSbF9ZxMCyQFTvmkZ1vSfc2N/nj7dU42uRxLd44FltjCv/9p2/y8KROBommE0WRg2duEhmXhVIhxdvNlraBbgzubl1u/LDrKeDs0uQFf2OSmJiBp4ejUcbWJ/xbtPQmqO3HpGHDgPmXOb/rfToNn8hHq9uze58jby0zbIriN99c5osv/Pjg4WFI5Vo0xVKGDs7g93UXkDZ8F2czZsw0cY4cOQKUfE8JgsB9990HlLQl/eabb/R+B4qiSFRUFL/++itz5syp9xqM+hTVlIX+7cgFCcWijkKdBktJwzx4drAMo4NlGJlaB7SiFGerdIN44HOxp5lNkt59A33Oc+xSS1pzb4t+Q2COAqg/WYmKe1b4g2mF/M9s68Xqi3HM7+Br0HFvF/6DW4by99H2LJy0r8Jxm450YGiQ/sJajYGfkzXz+wZyMT6LzaHx3NehvKfVmMJfEGBAyA0GhNwotz00Mp0QI0YZGEv4y2X1T5/TaHRsPxJBWmYh/bv4MaCrv2EW10RoDG//jl1nGT2iC/n5RVhYyJEaWQlfu2rNwbMuTF5+GEGAXhMHcnzTJsYtUrHxrZ6cP2eHX7N4fvlpN23a+DF0eOd6va8kEnj66Riefjqm+oNriNnbb8bMvcuFC7fSc7y9vQkICAAgNDSUlJSUsvuV+F8+5e33r3/++cc0Rf/dIvTvZKStD3vy4rGVyPGSG7jAUJWUtIzJNdCzf4bqLGEZBcgkFQvRhKYXka+5QZQqV8+ZhiVPq2ZvXgIAAhigNKF+qhtbJ4oEKu2IV+ejEm+9yHYSOc4yiyrOhHydmhRNUdk8nnIrlIL+B5+oiJL/kzWFWDrdWpGVVIa3hRWpxY1TmdzUqanXv+GbujUMpiL8pRKBDm52rL2UwIw2ngatcVIq/MeGnOG+b0YwqONVOjRPKNt/I9GFH7f3ZOMj7xtsTkMR4u3AuRj9ocUN3c7v0s1Mpg1o0WDzmQL5hSr+OXCNYpWW0X1b4Fqb4n/paYBXpbslEoFrkcn8trFiXjeUPJCJhip2UQ9K1yFY3aj0GHt7K4YN6Yi8Fm3xqsPJ0ZYDhy+hVMgpKlKh05W8FqWvSV5eIXKFHKVChlIpR6W6JQZLPV2lx2o0WtLSc/D0cCrblpNTwIyHR6L8rzDl96u86DEtvMz5EX4klM0rf6fv1KH0nBHOtz+24aP3U4iIiOfGjQRi49KYN3+Ewa7XjBkzZupDXFwcUHLPDgkJKdt+6lTJd4woilhZWfH333+TlJTEQw89hFarRRRFwsIqFhevCwb7BjAVsa8SZRwp7EOU2AJrMY8Byn14yFPqPa5ckDDCxof12ZENLPoNiz272JfYmWHe5R9kdKLAvzHdmGv1fYOs4z77Zg0yT3X8nnWDQOzwllsToLAtt68640c7i4oP9NWd09PKDYpu/V7gXNKaUSM2vrAzZaoT/3dzGQpTCffv6mlPbE4heWottgrD2otLhf/PD37Cc7/MQ5BLaOufSEScGzm5cn6Y8XmjteyrClEUkUgqf/c1pPDXVbMWQ2Bob39aZgGxSTlcuJZM+yD3Wp239VAECrmU+wYGYV3XMP0qKvorlXJGDwmhXXDlhgFTozJvf2ZmHp99uYXHHxmJlVXVxuyaUlhYzJQH+iIxQAn5oiIV23eeYeL4XmXb9h+8yMULUXTtFgRAYpKCjl63etK3G9iZ2e88xolNB+h+30hCkxRYW1vw+ZdP8ecfh3jmyS8ICfGnW3fT6r5wt3v7zdw9bNu2jRUrVnD27FmKi4tp1aoVDz30EE8++WStPvfLli3jzTffrPKY8PBwgoODy21bvXo1Dz30UJXnbd++nZEjR5bbVlhYyI4dOzh58iQnT57k9OnT5OTkEBgYyPXr12u8boDU1FRatWpFZmYmUqkUjabukSxpaWllDhNv71v36itXrgAlxoCRI0cyZMgQoOT69+wpSTNOTEys87y3U68nN1MR+qXEqHz4pvBJZnTcx2T/bSTlOfHVibl45kfygPWf1Q9QDdHqPDpaulQQh02JPpYx7I9ejK+1K+P8jiCV6EgtdODts3MZqrxMGwsFcO/kObrJLCv9e9bl71zbc6zSS9oOeVoYr/3Q3cS9nO9vCl7/fr5O/H45kYc7GjbMH0qEv0tz+GXOJ1yI8yUs3o/x/Q4S7JlQ/cmNxP5rKbTzsq/ymIYQ/qIoEp+WV+UxYdEZtPtvHbf/XNWx+o4zlPA/dPYmsUk5vDS3N79tDyOvQEXvat5XkXGZ7D8djbO9FTNHhyCTGbdnWVMS/FB5mL+jow2TJvRi995Qrt9I4vlnx9d7Lp1ONIjgh5KoCq22/L3N1cWOI8fD6dotiKIiFW3bZBJz0YW2A+MBUFpZ0GV0b45vPED0BWfah9x6/0+Y2JuIa/F88flmVv/8kkHWaKZmmEP87w7ef/99XnnlFQCaN2+OjY0NoaGhPPPMM+zevZuNGzfW+vPv6+uLn5+f3n1WVpUXBHVzc6Nly5Z69zk6VqwrcvXqVSZNmlSrtVXGc889R2amYQqFZmVllf18exu+a9eulf3cvn37sp9btGhRJvoLCwsNsoZai35TE/ql6ESBbwsX8NvU9/CwLvkDBTnF0c/3As/vfJzTaZ3oanmumlGqJklTQIammJYKOyRNtMS9XNDwquO7/BMxlp8vv4lCqkGmUzHKYgsdrA0TPmKm9qSnaYkrKvlsmfP/q+dezfdvbOHvYqXAQiYpC881NNfOWvBa2EIsnWT4eBewfu8IAm1ieGf0T1jITeu7Z8PZWPydrenoW30xM2MI/zV7ryH9z7NvaymnfYAz6w5crzTkvIWnHb/tj8DFzgJRhIvR+jsyuDlYotHouBidjp2VnPTcIhLSy7ePFYhg0gM9KCrWoNWJqDVaVGotGq2OomINhcUaCorUqDVailVaCos1FBVryt43eQUqurb1ZMbokhDHmWNCuHQ9he//Ooufhz1DezYvF7VwNjyR81eTCPB24KHxHWv93ssrULDlUEuy8y3p0SYOmey26L8qvP13E/7N3PFv5s6KT/4mLS0HFxe7xl5SGVKppILoP3PuBl99u4PY5Gz+3nSMPzd+zLQ5PWnZIwmFpZZz/56kKL+Q4F5d+PHJMKbd/wczp4UzcnQ3pFIJvfu0wdWtaoNcY2H29psxZY4dO8arr76KRCJhzZo1TJ8+HSjJPR8xYgSbN29mxYoVvPjii7Uad968eSxbtqzW6xk1ahSrV6+u8fFyuZyePXvSrVs3unfvjlqtZt68ebWed/fu3axdu5b77ruPzZs31/r8O1EqlRQUFADlPfeXL18u+7lFi1spercbVezsDHO/rrHoN1WxX8q5og4Ma3m+TPDH57oQm+OGr10KS/r/yvzfn6636O9l5U6UKpcIVQ6tlKb5ZVIdIqCUqHjA9i8e4K/GXk6j0/gZmRUp/ayZxX/V3Kte/8YW/oBRBH9agR1PHV/C6lUn8PO55bXb+q8Pj3zzDL/M+p/B56wPecUaujSruZA3tPCXSgSmD9Tv/aiMbq1qHkJfFf/bEMqWgxFYKKRIpRLkMgkKuRSpRIKlhQwrCzkuDlbIZRKUChmWShkWSlmV75u2Ldxo28KN2KRs1my9gFxWUh9Fo9UR0sKNeRPq1g/+560dWburO5Omp+IapOHHXa24fK4Zbz76762D7iLhX11Rv6CWXkaPkKgtEomkrCZAKX//c5Jmfm7s2naKvn3b0qyZnPfejOTpeQ44+v+LozdkJdtxZedEXl9yAieHbPLykpFKJUilEq5eia1gSDDTMJi9/U2b5cuXI4oijzzySJngB+jQoQMrVqxg5syZvP/++zz77LMGaSNnaNq2bcuxY8fKft+/f3+txygqKmLBggV4eHjw1ltvGUT0u7m5ER0djSiK7N69mytXrhATE0N0dHTZMa1bty77+fYIAxcXl3rPDw3Yss/YxGt9Gep7jcQ8J57f+QRStZoAiziiinzQyWXkY5g8/ACFLRuzo5us6DfTdDC3AKwZpeL/XqIxhX+uSsOZxGy6eBr2HvjjlfG8/OqVcoIfYMzwOP7d7cW5WH86+UYbdM7aIooiSTlFbA9LpGdz50ZeS+PN7eVsxaQ2zkap5u/rYc+D4zoYZKyDZ/3Yc6kjf/8bSqnTZOy4FP5cn8qyz4ex68uTBpmnKRHcyofjJ68xcrjp9PbWVxSxdbAPZ89HEhDgQUBzT37+aTc9ewYzuN92PL3nkJ7ZjKs3P2finP8h6jQEt2mLp5czHTsFAjB75gf834pHG+NyaoTZ22/GFMnJyWH37t0AzJ8/v8L+yZMns2DBAtLT09m3bx/Dhw9v6CU2CMuXL+f69eusXbsWe3vDPOu0a9eOqKgoBEEgJyeHtm3bArfuf1ZWVuUK/EVERJTtd3MzzHftXSP6HSVpXE725aPDU3nV71sCrOLL9kXme/NU0iuobGUohPpbHy0k5iatZgxLdX5Ts/e/agqyZPdcyH9jFfib1dabHy/EIRWgo4fhhP/J9Pa8NuCI3n0PTIpl55quDSr6RVGkSK0lu1BNVqGay4k55BSqaOZszYzuzbCQ1/57wJDeflPIMDNWGz9D8cWfffno2xvcmXrauk0+zl4uXIxwI6Tlf6H+94i3v0WgJ1evxfPHhiP07BGEj7eLUSJ3aoNGo0UmK/95uhaRQGJSBp07NCfmRjzRUimWlgreWj6DLz7bwMkjp+naLYjmzVsyYGD7CmP+vGZRo1+XGTNNjXPnzqFSqbCwsKBz54qGQblcTrdu3dizZw8nTpyolejft28fly5dIj09HScnJ7p3786DDz6Ih0fV993Q0FBmzJhBUlISdnZ2dOrUiVmzZhEYGFjr66sJ4eHhfPTRRwwaNIgZM2aU88TXh7Fjx/LPP/+U/X67oVMQBEaNGoVMViLLi4qKCAsLK7uHtWvXziBruGtEfw/LUzx3biWzfbaWE/wAza3jmem9lcM5fRlsvb/ecykFaUmlZPMXihkDUVOnnVn8V0bJZ/FeE/7Q8F5/W6WMZ7o2Y114okFFP4Ao6m+yqdUJSIWGu8bcIjU/HonEz8kaBys5DpYKBga54mStrP7kamjoVn4NRXS8A+u2tyU7V0mPDvGM7R+BTNa44dX5aks8PPTfD7r1yuPUZe9boh/Ytd+bVT/6k5sjxdVNxeMLIuneqf7df0yNMaO6kpmZx4WwaDb+fZy5s4dgZ1d5IS1DERmVRPOAkgd8nU6HIAgIgsDBw5fo0N6fgoJizpy9TkxsKk8vGEOXzi2wsir5zBXLZcTEpDBvzv8xZdoAxt3Xk9592vL+u+v44fsd/LxmUdk8Op2OX9fuY9bsIUa/JjP6MYf4N01Kvct+fn5lAvROmjdvzp49e8qOrSkHDx4s9/uGDRtYtmwZX375JXPnzq30vPPnz3P+/Pmy3//++2/efvtt3nzzTZYsWVKrNVSHKIo89thjiKLIF198YdCx58yZw4cffsiNGzfKGSRFUUQqlbJ48eKybXv37qW4uLjsuF69elUYry7cNaJfIWhwFVIY4nRC7/4Rbkd5N3W2QUS/iFnwGwNRBJWoQCGoTMKLZcrUV/zHFbrxd+IAstQ2tLWLZJTbUZRS067bUTW3hOK9mOvf0MK/WKvjfHIuQ5oV42YAIQzQ1/U0W/71ZfyomAr71v3uxxOtfzHIPDVhW1gij/dvgbIO3vyaYAjh35hezNsjscWEFN7++wGuXLNn/rDDuNrnsie0NSPXzuDH5f/g55ndaOvUqECno4KnHyAtRUaA+62KyIs/GoAqKpt3OryLh3UmUVkevP/6Q/Qc58ATj16rOICJU11uv6OjDcXFaiwsFKzfcAhrK0vGjemGjU3FTjKrf9nD3DsEtEar1TuuRqNl565zDBnUnqysfJKSM7G0VJCUnMWMOf9j2dLpqFRq8vIKCb8az9WrcYgCPP34GC5djqVr5xa0D/HH3r58SqZSrcHPz401vy3mkfkfM3RYiRfy9WWz8PAsKaa55pc9JMSnk52Vxxef/0Pffu3w9zdMHQtjYA7xN1Nf0tLS8PHxqfV5zz//PM8//3yF7aV55Pqq4pdSuq+mVe09PT159dVXmThxIs2bN8fS0pJz586xfPlytm/fzrx583B2dmbcuHHlznNwcODpp59m2rRptGjRAnt7e8LDw1mxYgW//PILS5cuxd7enqeeeqqml10tP/zwA4cOHWLx4sXl8usNgUKhYNeuXcyZM4dDhw6Vbffw8OCzzz4rF1lRWriwNBrAUGkUd43oB3CQZFGs05/fW6xTIDNAaL8oiuhMsfpbE0alk/NLxlQuFQRjRS4Fgi0drC4xw+kP5Ab4m93N1EX8fxM9kQsZAYy22oqzLIOw9HbMi3+dZcHf0NImzlhLbXDuNa9/Qwp/C5kUD2sFNgrDfYXMDd7CzP+9R4vmubRtVfIwIYqwdn1ziqKzaDMwvpoRDEexRmf0nvd3CxuPdqAwQ83al34o2xYSkMD4nud5/K1ZbP3yt0Yz4g7sdJ0tf7ty38TywkqjFdi3y5HXvyxJJzl8zpe8G/l81PfrsmMCHJL4esB7zNy4nLGjbSrUmmjqpKXlkJ9fxKPzRwBQWFjM5i0nKSpWM2p4Z9zcHMqO/XPjUXp0C6J1cElLRa1WS+iFaMQZt7p4iKLI7r2hXA6PJcDfjQ0bj+Lm5oCLsx1x8elk5xSwdPEUlEoZVpYK3Nzs0Wh0PP/MeMIu36R/n7b4+Ljw7Q87mTV9YKXrtrRUMn36IMaM61Fh34yZgzh0MIyEhHS++vYZcyG/Rsbs7b8DqdSwKUQSCVqttk493HNycvRuLyoqAkoEamWUtpuraRu5xx57rMK23r17s3XrVu6//342btzIc889x9ixY8sZsydMmMCECRPKndexY0d+/vlnnJ2dWblyJUuXLmXOnDnY2ta/lXpqaiovv/wyfn5+vPbaa/UeTx/+/v4cOHCA+Ph4YmJisLW1pU2bNhXaH65bt65M8AuCYLD2qHeV6O9tcZRNiQN5PGBDhX1/Jw6gl1J/vmhtOF6YQlsLh3qPYywS1R7sLR5CBs54EcdQy93YS/V/uE0BrSjh7aRFdCvezkJ+QBBKHvTP5PbnXdULvO7xgVEfGO+Wx/qaiv8jGe2JyXJksdOt19VHnkAPqxO8eWUxP3VZ1qBh1MbGWMI/vdiO9bEjuJIXgLMiiyleOwl2uGnweUyZYQEubL2RwuRgT4OM52CRz/f9lvHGSwvIlrfH3bWQqJu29HY6w2d9fwYarsXY2BBPfjwSydj2Xng7GCfsub7e/spa8zU0P+3uxc8vrq6wPcAjnXY+sZy+5EW3dgkNvzDg6alHeWDxLLRagfsmpiCVQmysBa8vDmTyoHNYWpQIklW/t+OlkC8rnC8I8FjQH/y89j6WvnyxoZdfbyrz9sfHp/PX38d44rFRZdssLZVMndwPrVbL9p1nSU7JYkC/drQI9OThucPYtuMMrYN9+WPDEfILinj5hUmo1Rp27w3l8NFwXF3s6NK5BfPmDCH0QjS5uYWkpGSRmpqNUimnTWtfIiOTWP3LHtavWcSFsGgWv3Q/UqmUkHbN+PGn3cyfO4zklCyysvLKwvr1oU/wQ0kXAH35/aaM2dtvpj5IpVK8vSuP6KmMylrAWVhYAKBSVf7cVFxcDIClZcWooNogCALvv/8+Gzdu5MaNG1y4cIEOHWpWxPXNN9/kq6++Ijs7m7179zJ+/Ph6rQXgueeeIyMjgx9++AErK+OmO3l7e1f5dzOUyL+Tu0r0d7U8w/K0key16cogl9NlAnJPanfOZwQy1nldveewlyhI1RThJTdMN4CaEBtdXOV+X/+SL8dtBaO4quzIc0M20twxgTOJQXx8dBH3Sf+gs0VoQyy11pwo6Iqv+jKdhFvtNQQBunKQeFUA5wrb09nqgtHmN43H5hKiVLn1HyMC3D0r/1j/EN2CB6y+Ilqdf8eeXJpJ/2Z9gidd7MPrvY6GJrGokGt5Ofhb2VD6V40u+O8aI8DOtcQoEmhnjU6EIq2MVVeCOJ7UGpmgZbBfKD1cLwNaWtjbAHA9Ow+pRCDYobwF+WhqCJ/FPMhz0/fzdJstxKQ48fHvs/BJieLZoF8b6pL10pDefp0IXjYWBh3T0yaDbwe8Q75KSY7KGpfm2cilJWHE6sgs5M0dDDpfZThZK3m0XyC/noxhZo9mRpvHVPP7RRHUGikKuf4Q7vLHCthZFend161lFJcjXRpN9Ftbqvnz/TV8vaEHk75uh1Qm4mBVwKxB6+gQlAKUFCFMSbfCt63+3P1mdklsSzRMCospcOBQGFevxfPUgjF6U0SkUiljR3dDFEUOHArj4OFLKJUyMjJLvp+SkjNp386fjZuPY2mpoFWQDx3bB6BWa4iNTSUzM49OHZrTp3frsvGPHgvnh9W72br9FDY2lnz57XaiopO5GZPCi6+s5pP/e5g2wb6o1Rpee2VqpWtXqjUUy++qx1YzZuqFi4sLFy4Y7hm5JqH7NUkBqClBQUE4OTmRkZHB9evXayz67ezsaNu2LWfPnuX69ev1XseBAwdYu3YtY8aMqRBdYGwyMzNJS0tDEAScnZ0N8rpWxl1195QIIoudP+DXhOn8FDMWR3kOGSp7WinCWez8PhKh/hKvmcKG84UZNT6+OsFuCGKji4kRA4n2b836+5eXeXDHtDjBEP+zjPr5bawTL2El5JMuqolNq7imUsNBQ3MwtzdjdN/pdbn31O3iYO5ko4p+U6GnlRvJmpqFSlVHcmKJ96pU/J/MSqO7Q0mPzyKtAlvpnYK/hGayWOIKvZuk6O/qUNI+7UJOJhnqYgQEmlneMszlpMqxc1VzNTuPCxkSvrwwntbFsfQU16NBxsGsnmyy7suCkM+Jzi95+HdQyHBWKtkVn8Iw7xJxUKBRsjJqDts++gYrixJDgpNtAT+9upanP7mfo8kh9HZvXI9gQwn/1s7W/BKWQB8fw39BWSuKsVZUvE81pPBPyS3GSnFvdWrJK1SyfO0Izlz1w84in5wia0Z2v8zCSfuQSvV/f6o0UtQaCXI9Rfsik9zo1LVxI82sLdW8MOswL8w6XLYt7Hp5gd+mZTqnE1vR3etKhfNPpbShTQ/TjZarjtu9/amp2Vy4GM3TT4yt9jxBEBjYP4SB/UP4ac0erl6LJzs7n+JiNes3HMbDw5GoqCSiopJZ8Ogojh6/woFDYXTvGsSRY+GIR0VEUSQjM4/wq3Elfb/njaBFoAfpGblotTrs7a3JSvoVC4t7r+2qGTOmSMuWLQGIiYlBo9HoLeYXGRlZ7tj6IpeXRKhqNLVLBanrefo4d+4cAIcPH67QTUD7X/0SrVZbtu+TTz5h6tTKDZTVcenSJT777DO2b99OXFz5tFofHx9Gjx7Nk08+abCq/aXcVaIfQCFRM9fhZ3SiQLGoRCkUG0Tsl/JL5nXaWdx6yG0IUV8TjluN5b3BFXMnLWRqnuy5hb3/DmaA9h/9J1P1dRjTIKARZSjQP7eCYtTivVGl3koiI0BR/5ykcqSXhPtH5OcQZFMSymUnD8BD5oqlpKJnLqy4AyF2eWXH3nUUlhT3++jMK8wr+hFPIfY/Y5OattpDXMhVczJxIW90/6ncaeFZtyIwtsX3Yfbo02WC/3ZembWb598d3eiiHxpG+MulEpQy44SgVUVDCP+otDwORqTyYE9/o84Ddff2Gzq6X6WWMm35PJ7ss4XlQ1YjCCVdE346NojHP5nOd8/rj2IZ0y2MNXt78NDwY+W25xUq+fd8O158co1hF2oEHpsRyrMvz2at++tlkSUAuSpLVl2fyOb/Hari7KaDq6s9Op1IUZGqVkL7w//9xfvL57Dik7/JySugRaAnKz79mwWPjsLP15UTp67RItCTCff1rHDu2XM30OlEFr70Pau/e5aCgmImjOvJQw8OrdM13I3e/rs5xN+c19+06NSpE3K5nKKiIs6ePUv37t3L7Ver1Zw6dQqAHj30p9nUhrS0NFJSSoywtSlIqNVquXr1aq3Pq47s7GyysysvPpucnAzUvJ6BPpYsWcJHH32EVqvVm6YXGxvLt99+y/fff8+LL77Ie++9V+e57uTuunPehkQQsRT0hxzWlSNRaWwgGv8cB2IF0xD7pWRJXQly0l+Erb1HNH8pRkAd36OVGQQMYQzobBXK+eLe9GZXhX2hQm+6WJtmWkJTIe6mmvQ8LfxXwHisx2G2pIxhsn35uhfFOgWHC/sz3+XNRlhlw3E12gNVXnGJ4L+DEN1xvkychE4UKjUUxhZ7MbF5xXMBvJyzydEa2HBTD4wt/DU6Hfmqu/Nh7vD1NOb0CmjsZVSJoWud/HGwM6ODTzG8za17rlQiMq/PXi7+2YxzN3zoFFjxO+ax0QeZ9eE8svMteWj4UeysijgW3pzl68ey7Kn9lUYImBLNfTJ5eN4VJn77IXODNtPCIY7Q9CB+jx7Nex9cwNamKXc2ucX2nafx9XGuleD/a9NRklKy+HvLCeLj0xk7uhuzZwziuWcq5tCKokj0zRSibybzxdfbuBQeS+tWPkye1IeclN+wtTV+W0AzZszUHTs7O4YOHcr27dv54YcfKoj+P/74g5ycHJydnRk4cGC951uxYgWiKGJvb0+3bt1qfN4PP/xAVlYWUqnUIOtYuHAhCxcu1LsvOjqagIAApFJpvaMKHn30UX744YdyRfr0IYoiWq2WDz/8kJSUFH744Qe9x9WWu1b015c7ha5OFPmCiyykPW0F08vBtNNlEJXlQYBDUoV94am+2KkN32v4zteoLkaAwbYHeSXnDVpownATblUgTRR9OS8fwDSbN+q9TjMl4t+nmZzR7od5LWMBP2XNZpzNFhylmVwqbsPvuVN5MnA9CsndKeJKSShyxU1dsSUclIgoazGbAo0FNnL9FjIfi0TCIj3p3qpi0b6EdHtspaZV4duYwr9YoyNPrSW7WI29smEjcozp7Y/LLEDRwBEMdfH2G9rTv+lwe76f+qnefbO6HWDDwb56Rb9cpmPtyz+y6VgHHvlkFkUqOSFtM/jmze2N2q6vtowfEsHA7jGs29aGbfHdCeqZybbP92NpWX1dA1OnNMQ/ITGT+XOH1egcjUbLvMc+JTIqiccfHsXyZTMBylXrT0/P5cSpqyQkZpCWnsv50EgibiRiYaFgxpT+/Pbzi8jvMq+8GTN3O0uWLGHHjh18//33DBw4kOnTpwMQGhpa1uZv0aJF5Sr8r1y5kpUrV9KzZ0/WrbtVP+3SpUt88cUXPPnkk7Rt27Zse1FREStWrOCDDz4A4OWXXy43Xk5ODo899hjPPfdcOcODVqvlxx9/5NlnnwVg/vz5dSpk2Bhs3ryZ77//HkEQqm25e/t9dvXq1UyYMKFCS8O6YL4b/0d1YfrnSOMlOuEi1K9apbHonr+Vd/dP5bsJn5TbrtZK+ezoOKarlxu9VH1djAAWkmJe9fwfn6Y8jlKTh7sYQ6LQDJ3MkiVu/2du2WdASoX/8tZfcjijIz8lPEyuxppWttG80+5rvCzSGnuJRsfLIpUkyXDQ8xwvipAv2GMlKx8hdPvNeYzXYeZue4dpg85UCPH/YO0QpnluM8q6TRFrhYynOvvx3tEIgl3tK+yXSwQUUsl//wTkEglyiYBMIiD772eJICBS0gZVFEVESgoEqrU61DoRlVaHSqcDEbSiiEQoOUcqAaVWhUqjK/mnLflfK4oIlIxZ+n9lSAWBKV39ANDqdKw9GYNUEHCzVTKli6+xXjaDYWhPv1orxVKhv2KzlaKYIlXljwsyqY4H+p7jgb4leZGCl1uVcyWk2LL3lD8yqY4RvW/gaGfYqLyqOBYaS2xSDikZ+bRrUX6d9rbFPDb13K0NlgZsr2UC6HS6Gof2jx7/JlqtDltbK0YM60Trjk+iVMq5GZNKYWExHdsHoNWJWFkqSU/PoVPH5jz+yEgG9GtntMrTZsyYMT59+vTh7bffZunSpcyYMYOlS5diY2NDWFgYOp2OMWPG8MILL5Q7Jysri5s3b+Lv719uu1qt5quvvuKrr77C1dUVP7+S79zw8HAKCgqAEuG+ePHicufpdDrWrVvHunXrcHBwICAgAJlMRkREBFlZWQCMGjWKTz4pr3lK6dy5MzExMWVrAIiKisLFxaXsmEWLFrFo0aK6vUh14Msvy3eIKfX2y2QyXF1dEUWRtLS0smiC2589v/jiC7Porw+1ycUXRZEC1CYr+AGaC1e5EduRuX89z0v9NtDcIZGzSS14Z/9UumdvwkZo+EJENTUCuMrSedvrXZLUbqRqXXGXHcZNdvcL0MagtLVfv2bn6ed8vnEX0wi4KzOQWypIUPnhJZT3+F+Q9KKH17UKof2351xZyYpZGPAT973yCM9P30+ftpHcTHFm5e8DcM+PoU+Q6RWdNKa3Xy6V4GxtSR9vR3zsblXyF0URjU6kWKtDpRVR6XRotCJqXYmY1+hKtpW+tBJBQBBK7JIyiYCVXIZccstgIEVA/K8bi1YU0YoiYqEOywAHFDIJSpkUuVRAWguxEZGSyzcHI5jWrRkqjQ65VGB6N+NV6q+O2nr7De3p79f+OtvCOjOu/ZkK+/4J68rgztfqPYdGI+H5j4aRmqJkTNdQCtQy5iweR69OCSx++IhR27OW4uFiQ3J6Ps41acWYnGTYvtqNTJ9ebfj40795ZdHkKo/7d9c5wq/GMXPaADw9HPnsyy2MHNaZt16fgUqloVilxs7WstHC9c15/U0Lc15/02PJkiV06NCBjz/+mDNnzpCUlERISAgPPfQQTz31FFJpzYrc+vv78/bbb3P06FGuXLnC1atXUalUuLm5MXr0aB5++GFGjBhR4Txra2s+/PBDjh49SlhYGDdu3KCwsBBnZ2fGjBnDgw8+yOTJkyv1mGdkZJCenl5um06nK7et1OjQUJw5cwZBEBBFEUEQaNu2LR9++CFDhw4tK0qoVqvZvXs3ixcv5uLFi2XHnz592iBrEMQaNvvd3Xy0QSZsbOpSeC9OzKMILS2Eit4sUyNWbM4pq5FkS1xw1cTQq2gbzsKt0P4TYjI9BPdGXGEJjdUt4E725iUw2MarsZdhVCq7Rp9m90aRxDtJLXZgYehCQor201F3BDVyTsuHkm7fiu8Hf4iFtLwHf2N0AhP9y79+aUX2/B47giv5zXFRZPKA57+0dYxqyMuoNcYS/oVqLRuvJTOjbcN/juob4l+s1vDZvus82LMZOy4nN0jhvqqojej/bX8E0wcapnoyQEauFZPfnM/qWZ/i5XCrXVNoXDOWbJ3N1ne+QiIpeVz4dV8EMwZVPbc+b/8rHw+mrVskMwedLLf9rd/G4tu8mHkTG6aGy6pN57BQypk+qgaVkfWIflEsMWDI5Q3THtNQCA7eHDp8ibT0HEaN6FKpxz8pKYMVn/6Dp7s9Fy/H4OvjwtLFU0wqVP9uE/3AXSv6gXqJ/nZO8w24ksahefPmoM3hxom3DTame7tFeHgFGLRlnxnjYW1tTVFREaIo4urqytWrV3FwcNB7bGZmJsHBwaSlpSGKIpaWluTn6++8VRvuvrumHupbYd8baw6RSAtMX/T7CpH4Ft4WQtIAnpO6cPvfxFQMAPcapeH+9xquyixWdV3OzuRe7El5FEtLNRNbHGWA14Yad/pwscjmyZbrqzwmvdiOyBxvXC2y8LdNrPLYpoylXEpcTiFZRWocLAz/ftLoJBRpFFjLiyp4guub26+Uy3hyYAve3X6Z2T0bv3BfXSv5GwIn2wK+Wvg7T3y9AB+7VAJdErkQ749WquCXxT+VCX6oW2pBXoGC0CuuvDt1XYV9r0zexpg3n+WhCaEN4u1Xa3RY1OFrJz1DyZsrunI1whEbazW5+XImj7vBwzPDG2TdhqBf37YkJKTz7Q87eWrBGL2h+B4eTnz47hwA1GoNa9cdMCnBb8aMGTNNDR8fHyIiIhAEgdGjR1cq+AEcHR0ZPXo0P/1U0k3KUHUL7uq7uKHa6QmCQLGoRSPqkAnmXDVDU/p3Mot/Mw2FQqJhnOchxnmWtOJy8NSfy1wX8tUWvH7uUbJVtoQ4Xicu342kQmde6/gDQfb6K/83BMYM85/RxpPNEck4WSoY26LqfO6aEp/rwttHHiQl3wFbRSFphfZMab2PB9vtNKjAOnw9jacGBeF+W3rCvUqQTwr/LP+aa3FuJGTYM+2+y/i4ZBlk7PBIF7q3jNa7Ty7T4e6QQ06eEntb43bGCbuegq+HHVm5NZznvxD/nFw50x4fztsvn6Rnl5K2TWq1hI+/bc+S93rw7qsnjLhqw+Ll5czMaQP46tvtPDJvOApF1cY6yxrUANDp4M+/PFj3mztqFTg4anns8Xj69s6s9lwzZsyYudsZO3YsH3/8MVCS4RHKcwABAABJREFUx18dpccIgsCoUaMMsoa7TvQbSujfST88OUoSAaIdvoKNUeZoCKoqbNXYmMV/w1MXb3+uxorUYkdcFFnYyesfbmQKZCUqDCL8RRGeOf4CD7f6m15uYWXbUwsdeOLYy3zR60PcLO++h2AfeyseDLHi54vxZBapcaynxz8l356Ht73EiiFf0Nrlv2I8Win/d2Iqkza8hUQCEkHHMP/TzFTtwiG47vVW0vNVuNma7zm3E+STQpBP/Tq+iAkp5UL87W2LScup/Lszu8ACC6Xx837PXE5kzn0d+G17WPUH38Z3a9vw5EMXywQ/gFyuY9GT55mxYChxCdb4eDWd+6Gzsx0PzhzEx59u5uUX76/0uMNHL9O7Z3CVY4kiPLqgDYGON1n16m7sbIqJS7bjza+GEBpqw5MLDG/sNOf1Ny3Mef1m7nVefPFFVq1aRVZWFjt37qSoqAgLC/3OhsLCQnbu3AmAjY1NhcKJdeWucVvHRhcbTfADWAgy+gteFKLhiHj3huqaAsb+W5opT2lxv+rIUVuz5MpTvHLlWTYkDWPJ1ad59cozZKmbrhHM0JxNDybANrGc4Adwtczi2Tbr+OW6Yay1dSUn3ri3/BltPdl4Nbn6A6vhy7MTWdL7lzLBDyCXanml968IAnw94v9Ye99yHCzymPr3MjILrOs8l5e9BQnZ+ls0Ngba6IwGmUetkbDyjwEMW7iA0QsfZtQLj7Fqew+DFwgspaVfOhFJ7uQUVHzIuZHogoO9GqXCuO3xktLycHGom4Fo32Fvxg2v2KoTYPrECDbtaPz0kOoQs+IBUKnUrP1tP3/8dZQHJvWu9HidTse+Axfx9XWtctyt293wsYln8UMHsbMp+e72cc/h2yUb2bXNloQEs1HNjBkz9zaenp5s2LABGxsb4uPjGTNmDOHh4RWOu3z5MmPGjCEuLg6lUsmaNWvKuh7Ul7vCTNqQAjFIcEAmSjgqJtILj2p7LZqpO2bPf8NRncdfo5Pw/OWXeDZgDSF218u2X8oN5MXLL/JVyNvIJU27n3Vl3v7UomKuZOXWaIy/brrQyekfvcc7Kw9zKLkDY3xrNpaxsFYYt/hYgVrD75cTmRDkjrKO/e7PJ7fgjb6r9e6b2mYf/0Z3Z2bb3UxpvR9fuxTe+vt+Pp7+c53mautlz/5rKdzfuXEqkdeV+ohznU5g1vIH6Ss7wk+dfkEm0VGklbPq2HgWRkzik2f+MvjcggBvPHGQ6R8+wspH1tHSu8SjefqaH4t/eoDv3t5al0upFZcjUwlpWbdCtoIgIpXqv3BrKw3FqppVs25MNBotkye/Q1BLb95YMg1r66pTWlZ+9g//++Rv3np9ZpXHrV3jzqfPVKxxIgjw2MRj/LquAy8+H12fpTd50tLkfPhBABcv2KBQahGQ8NjjsYwabe5UZKbuaDQazp49W2G7p6cnnp6ejbAiM4MHD65yv5OTE3l5eezfv5927drh4+ODr68vgiAQExNDXFwcUBLW7+joyMcff8zKlSvZs2dPvdfW5EV/Y3iEmwt22IpyzpBKVwyTv2qmcmKji83CvwGoSvjvTe9Of+fT5QQ/QFvbGwxyOcmetB6MdDvaEMtscNS6miscGVrUOv23Va0oRWLC6TWGYlAzZwIcrFh9MY6WjlYopBKyizWMqUWuv0TQVZq3byFVkam2Lfu9l/dl3j06C51OKFdsrqY42yjJVzU9g1V97M1bT7alpfYKUwN3lW2zkKpZ0PJPFl94lotRXoQEJNR7jXeG+PfuGMf/vbyXD38aR2KKNTpRILh5Bj+9vxkfd+O3lT19KYHB3evgkU9OolWLLE6dd6Vbx4rh15t3+vPg5KsGWKFx0Gp1xMZn8PyyDcQk5rLpjyU1Ou/ipWhmTO1f7XF5eVJcHPW3v/Jxz+HA9Sb/qFkvMjLkzJzWgZdeO81r75a8f3Ky5Sx/vQtxcRY88mhcI6/QTIMgkSE4GKYgW8l4UtLT0+nSpUuFXW+88QbLli0z3Fxmasz+/furdQiXtuIDiI2NLRP6tzfUEwSB5ORkkpKSDOZgbrJ34sYO/3YVLMkT1VwU0wkRnBt1LfcCZq9/43IwvSvPBPyqd98I1yOsiJxzV4h+fd5+LysLgh1sKzmjPA+2jOHL8ClMD/ykwr7NMf0Y65dV47GMhsp47ftu57FOftzILECt1SERBHZGpjKiedVhwqX42qUSnuZXLry/lK03evJKr7Xltjko8ynWyLBU1CxV5U58HCw5H5tJR1/HOp3f1PhtRyeW+n2qd9807238tms4IY/WX/Tro01gKt+/tcUoY1fFyYvxDOjaDFGEfacC+GWbnBPhIxnd8zJDe0ZWazB6et5FHn1xIOu++RdHh1v3iANHPUlMtqJze9Px2O7cd5nU9FwkEgmbtp/nYng8nu4OzJnSg+lz76vRGHl5hdyMSeXhucOqPTawRSFnwz3p3Lpi6uPh8/506NB0ah0Yg08/acYzi87Ro/ctg5GdvZoPVh5nxoThTJ+RiI1N0zM8mml8nJ2d2b59e4XtZi9/4yNWExJ3u5AvPfbObYaOJm+Sor+xBX8pAYId+8Q4o/xhzOjH7PU3LpV5+wVBRCfqf4/rRAnCPeDBrgmBdvEopSp+ihjN7Bbby1oAnksPYs31Uazq91Yjr7BhCXS0QhRF1l1ORFKLW+RTXf7ipb0L+Gncu9grb3kQ/4nohUyiJcAhqWybVichvcgWC3ndBD/A4GB3vjl4nfbeDkhqs1AjUZPWffX5zskvUuKg0J9m4qTMITf/7rvHHj4fw8MT+nD/ohm076Ki54AL2Nhs5Idd9rzyuQNPTTmKhbJy4aWzvcnE0REMmOiGj2cePl5KYuJaYWWlYfHTawi7oiUuMZPMrJL3q6ebHS7OthQWqbkZl07LADduxqaTX1hiMGjm7YSdXfn6Amq1livXS97bLQPcsLijIGZefjFRMSXGhXbBXhXeA2kZeVy4FMeIQW0ZMagN2/eEcTMug/DDy8qOEZTVV+IHOHc+EhsbCybc16PaY59YEMdLzw1l/fu/opDfeg1TMqxZv6cjO148V6M5a0tTKeZ36qQdzy9JqrBdEGD0+Ch27nDh/gfqXwvFzL2HTCajc+fOjb0MM3qozXe0vmONoStN/255B6Yi+Evxx44kCvCk7oWkzNQOs/BveAY5n2J7al8e8v27wr7tKX0Z6HyqEVZlmizv8jXfXR3PtH3v4KzMJlNlS4BtAl/3eQ9reVFjL6/B+TksnqH+Lnjb1rwlXkuneJb0+YUH/1lCS8c43Kyz2BXVBV/bFL4etaLcsT9eGM2YwONoorKQN3eo8zondfLh64PXGd/RG2+HppXfX1t6hURzIK4LQ7wqfm73pXSjT7/oKs9vajbuUqG97PtRPP5UCiOGpwMDy/YfPOzIrz8M4KvFmyod48M/LzB6iMhjD0q5dDWAU+eTmTnpLM5OxYiiyMFj1+nXswUjB7UF4KvVBym6FEtmViGdQ3z5Y/NZenbxJ6S1Ny38XbkeXTFNoFOIL51CfAEIu1Ix0qJnlwB6dgnQu1+t1jCgV0sSkrJp1cKd3QfCeXbpes7tfrU2LxUA2dn5fPHNNoKDfLCyqv5zG9Qyn4cXpDJm4UPMHHGG5t4ZnAr3ZdvRNnz++VWUSuNHFpkyMlnl6Up29ioK8u/u+40ZM/ca1Xn5G4smJfpNTfADuGLJdbLNor+BMQt/46HP2z/A+TQLLi6hnW0E3Rwul20/mx3MkcxOfNlueUMv02jcGeJf21u3RBB5LHgTj7baRIHGAgupCqnEtB56c+IlDRLivysqjQB7q1oJ/lK6eV5l0/1LuJbhS3axNdPb7OKlvU+w/MhsxrU8SqFaybrwwVhI1fzfkC/rvVZXWwsWDGjBxvPx2FnkMLS1R73HNCb1eah4eOwxJr86h07OV3BS3vL4x+a7sS1tIDv7fWWIJZoE2w5FkJ5dyJxxPXjwLU8+Hl7R69y/byb/+79m5OYrsLXW37rT18uRdsFeALQLzqBdsBwoSe1b/fsxEODsxVgSkrLIzinkXFgM3/7frLLzx4/swNFTkWzeEUrrIE8mju5Y5bpL56puf1Z2AX9tO8+6Tadp3dKDwGYuALi52mJpqahQrE/Miq8yr/i7H/9l6/ZTxCdk8OtPNW8TNW5MKoMHZvDXJh9OJDSndc8Cnlt2Bqnp1zc0Oo6OWuJjrfD2rVj3YO+/vix51fAtDc2YMdM4REVFNfYSKqXJiH5TFPwAEWQRiH1jL8OMGaMiFXR83Ob/+F/kg3wfcz/eFikkFLniaZHKijYfITMxUWtI6urUFATuSc/+7fTyduDHC3GEuNniaFF5d4jKEARo5Xzrgfi38W9xIqENu6O6IpeqWdjtT4KcyhfB0ukE9l1rx5VEb7wcMhjd7ixKec36QwuCwKROPuy8lMi52Ew63aU5/i72+Xz8/Cae/PR1OtuE4W8Ry+WClkRp/Fm1tHyIdlOlqFjDT/+EMqibP6ObOROTaE+zZpW3ZmzZMp/4FDuCA2qWm7/74BUSU7LJyy8mpFVXrkV1RqvV4ud9Df+eKibf14XQS7G0C/ZGKpUgCAJ9ugcS3MKdRW9vZOywEOTy+iniH349QpsgT6wsFew+eIWomHSWPDsSgKzsQgoKVWRk5uPkWDOnREJCOoePXqJ9iD9rVj2PRFK77hvW1lpmzzROLYimzFNP3+T1xT34atUBFLd1Tzm4zwNRKyewxS1jgK3clVx1xSgQM2bMNA2aNWvW2EuolCYj+k2VYrTYCTXLkTNjWMze/pphqEhca1khrwd9Q6FWQabaDkd5DpZS/V4xM2YAbBQyFnTy44fQOAY2cyLY2aZe4wkC9PS+TE/vy3r3X0325Jl18xkYdIkuzSKJTHVn3BevsHjkRgYHh9V4nhFtPTl6I43vD99gfAdvXOsQqWBMCos1FNWz40DHwAR2r/yCY+HNiUtz4GHvS3QK3GmgFd7izgr+xiIuOYc9xyPR6ESUCilqtY4Zo9pha13yHeHsUEB8fOV/x5s3LXF3zqt2nvyCYtZvPkvrlh5MG9+DZ1/vw9Gz9owfn4xWK7Bs5VgCvDN479VjHD5xg+NnounVNYD2bXxK1uFkw2vPj+bPLWeZPrFbna71t42n+GPzWZJSc+jfqyVpGXl0DvGlRYArglASBdKneyBD+wWz7H9bmT+9Nx3a+lQ5ZkpKFs+88B2XwmN5ddFkbGwsqzzeTM3p2i2HuXOSmT5+OP0GJeDsUsiRA15YWwl88ZX+e9ndiIeVjKSCmhlgzZgxY3iahOg3VS8/gBodxaIWpWCOYWsMzMLfOFTVvs9SqsJSajqVqs2YNnKphHkdfPj2fCytnKyNVvS0WCPnqV8f4ed5n+Jpn1W2fU6vfUz97gUCXZNo5lzz923vQBd6BDix8Xw83vaW9Ap0McKq68bnmy/y6Og29R5HEKB3m0gDrKjxEEWRv/ddISo+i4WzepKbr0KpkKJUlH+8sbZU42afyanT9nTrml1uX9glWyyEfBztqojMyc5m14FwIm+mMXdqT5RKOa9/1J3e/VTMnhFadti0yYl88nkznl4i8vCMQDq28+XIyRv8+NtRpo3vipWVAguljJux6az58wQWFnImjOyATFb1M4RWq+N06E2u3Uhh2f9t4a1F47C2UpCSlsc7i+9Dqy3xIO/cf5n8gmJsrC1Y8eYDvPLe36z58yT7j15j5qTuuOgxvK38bDOvvbWWV156gNXfPWsW/EZg9JhUho9I48hhR3JyFHzwYSQ+Pvd2JJgZM/c6Go2G8PBwUlJSAHBzc6N169bIZMaR501C9JsynXAljHS6YHxPhhkzZhoe0yzH0rRQSCX093Xil7AEunva0crZxuDif/P13kzucrSc4AewVKh5ddQGvj00jHcm/FarMaUSCQ909mX10cgGF/2VVfDXanVYKmXYW5uNnQB//HuZ7u28mTC4NQB2NpW/Lh88tZ1pi2cwZXoa06YkIpHAHxs8+OUnN35dXvV7IzEtly79nBg2oGSewkIppy948vY7pysc+/QTNwnpouOTt/2AEq97l/Z+/L75DH7ejtyITmPRU8ORSCREx6bz8bd7eemJqlvjabU6vv7pEDeiU+nY1odpE7ry3ZrDPD6nPwBSaUkovrOjNanpedhYW2BpqeDRmX2JvJlKXoGK7389goebHQWiJW1a+zJoQHsAvDydOLb/Q9q1Nd2w1LsBmUxkwMCMxl6GGTNmGpmwsDCWL1/Otm3byM8v39LU2tqaMWPGsGTJEtq1a2fQeWuXsGWmAjaCnFzUaMS7N6f5XkctyohVeZOmcW7spZhpILISb6XsGLNQuSjCPzF9mXdoKQ8eWMYTRxdxNDnEiDM2Hu3dbJkc7EGuSsPHp6INPv651CD6B+kPle0REMGlBN86j+3nZE1UWvWh3w3B9tOx9A+pusibMdFodYRGpvHjznCuxmZy+FIi20/dbJS15OQVk1ugwt/boUbHO9kXsnnFTyizbjLvwZbMmRlE3MUshve4xm87O3A9pvI2ic/P7kVQoHvZ75ExdoSE6G97eOLkFby9FKSk3fKYW1jImTOlJx6udnRs61OWL5+ZVUCrQPdqCzMqFDK+XzGLKeO7MHdaL/Lyi1FrtAyb8klJIcH/cHOxJTX91ns1r6CYVi088PF0YFCfIB6c3IPHHxlJVHQKOp2O9z76Ey9PJ7PgN2PGjJkG4Ouvv6ZLly788ccf5OXlIYpiuX95eXmsX7+eLl268M033xh0brOn3wC0wYlIcgjCoVbn6UQJF4XuXJF3R0BHW9UxWnO2rLe3MTB7LWuOKMLvmZM4md8ZH/EGBdiSJ3FkrsuvBFtENPbyDEaO1obduYNIUrnipUhiqO0BbKT51Z9opl6IIiw69TS+1sl80nMFtvICkgsdWRE2k7DMQB4N3tTYSzQ4lnIp3bwcico2fFirozKXpGxHgj0qFhJLz7fFxqLucwa4WHMzvYAAl/rVJDAEY7r78c22y4T4OxktVaIq/joSycMjW9PCy4EDF+PxdbFF52jF6l1X+H/2zjpMqvL9w/eZ3Jjt7mLp3CWWbiRFWkFBQEXsFhXF7q/xUxHFQLoRpKQkpbtjYdnuzqnz+2PdZZed7Zkt5r4uL9nznvO+z+zMnjmf96kuzV1p41e+cDYGaZl5/HMsgvt6BrH3RARtglyqdb2FUssjI88w6b7zPPnJGCJy/BkzMQVRDx+tGIWFNoPvX92IVFrxt6W9rZqkxLL1fC5djiQtPRsb64dQWZetkdCquUepnzu188HaSsHKP0+QnJrNzId6YmWlQK3WorgrRWHB4gM899ZqJo/pglqt4+9/LtEswJVHJ3UvPsfV2Yar4Xd6vjfzd2HVppM8ObU3i1YdoV1LL5S2hWkRMTEp2NpY0rNHqyr97syYMWPGTM1ZvXo1Tz31VPHP5X2Hi6KIRqPhqaeewtHRkQkTJhhlfbOn3wicIgkfqvcwmCta86PiIyQ+QbzcaQvPd/ybXO/2/Cx/H7VousKAlsg4IyY32B6SdU1Fj8y/pzxMXmYBL2hfZYJ+AdP0X/Co5mN+SZxChNq3zmw0Jf9md+XdmNeRpsXROecvxLQU3o55g+M5nerbtAaDqf5S9saH4GyRznNtVmMjL6ze7GaZxqedv+dYchuic6onZu51JrXYw88HBmHo1vbT/sFM7nKgxnP7OVpzLSETvV5k8ZEIVhy/zYrjt4lKLduCy9QIgsD9Yf6sPWjcXPzcfDlpWVYGf38laeZpx5Wowpz4vu28CPSwpZmnHY8Obsn+87FodaaLetPp9Czdcp5BYQH8tPYk6Vn5RCVk1miutxcM5r6JBfyw8CqDBicz+L5kflp0hdCB8Okf/Sq93ssjh5RkKUlJhd/XFy7e5o8le7h+I47WrXojl2qwUWmqZEvzIDceGtOF6Q92Z/3W07z35WYWrTrMiTOlIygCfQtTTF5/dgibd54nMTmLYQPalDrHRmVBZtadDS5HB2t6dA7k5NlIHhwdyprNp7h6LYa4+DR27jnLrMeG1svmkRkzZszcS2RnZ/Pkk08Chd/jJe+7RV7+IorGRVHkySefLJMCUFPMot8I9MKDg8ShqUaI/3r5bF5ps4YnAjfiY5mAv1UczzVbw8wWf7NJNtNktnYUnPHCmj3EkC1W7YGkKVPe822mTsX1XD8GsZ6Sz0PWQjYP6f6Plalj68Q+U5KkdWJD6jCe1b1BiHAIDyGazsJ+ntW9yYqUsaSoza0owXTh/WtvDWRG8F9l1xNgWrMtbLjdz0QrN0187RIJ8b3Fy2umkZRlA0CuWsG3u4dzK9mNoW3O1HhuiURgcGt31p6KYlgbdx7q4sekUF+uJmSyoh5C2+2sFUYT1xci3Jn4/kwe/ugRnvtmDPe9/jQr/gkt93xPR2t2n4k2ODa6ewC7z8QYxS5D7D0Rwag+zbFVWeDvYU/39t5MGFz9goa5eXLO3fJhzPjEMmOPPBrH3jPBaDSVPx49Pnk9o8Za8NeWLC5dieL+kV1xcx3KjMfb8eHrhyu9/m5U1hY8PL4bfcKa8c3Pezh4LLzUeOvm7oS29yUuIQNbGwsG9m7J3E83odHc6eRgSMC3b+3F6QtRpKbn4upkg4e7A2+8Oo4Z0wZVWkDQjBkzZszUnt9//5309PTie3SR0Pf09CQsLIywsDA8PT3LbACkp6ezaNEio9hgDu83AipBTh/Rk73E0FF0xkWouPJtrmiN1sKWjnbXyoz1cT7Dr4pRaHLlyAXTiHIXwZL+ohdHScBRVNJCaJq9qGvDufx2tNEfNTjmKsSRqrGvW4NMwJb0+7hPtxKZULr1l1zQMFC3lrXR/ZkV+Gf9GFfP2HuYvhVhlsYaZ4t0g2MeVknsietschuaGq8M2cSuy+14btVM8tQKBEFkXMgRfn54ARJJ7WI2ApxVpcL7JRKBDt72bLsQV1uzq421hbzWLfsArka78dIP4/h1yvd42qcBoNZKmbvpIa5GBTOs60Fc7CwJ9LDl5PUkLtxORWUhY3Anw+3fPJ2sOR2ezOJdV5FJBXR6kWaedvSoQsu+27HpZOYU0C7YzeC4KIqcvZbAwG6BAIwdVPOQ9NtxdrRpZ7hGgyBAYLNcElJVeLuVH0WQkZlHYsppXnoilQULHBF5nkWLoE2LZBZ/uwMvj5p7ZnqHBZOSlsPzj/cvdTwtI5f3XxvFkH6t+fyHnWg0Ogw56e+O1hAEgcem9GTD1jP8e+Imw8cNqbFtZsyYaThotVpOnTpV5riHhwceHh4GrjBTX+zYsaPUzz179uSHH36gffv2pY6fO3eOp59+mkOHDhVvEGzfvp2nn3661jaYRb+RUApSBorenCaJLFFDoGBb7rmpuBBoXTbvtAhPyySyc21xIMUUpgIgEQS6406kmMU+MYbuuKMwtx0sRoKIWIGPt6KxxkKk2pteGK5Y7c9Vdmb1Nzhmxjg0t4vkdEoLQpyvlhk7mtSWNvbhBq4yUxmDWp1nUKvzdbLW8YhURnf0Msnchir3F7H3bAzOduX3nK8qny4fzPcTfy4W/AAKmY55IxbR9TN/JvWzITwuhX8vxdPG35Fpg1pUOueIrqULwh24EMeGPVfo1dGHdbsvo5BJsbexYFBYILYqJbdj09l68AatApy5HZdRrugXBAFHW+O0knO0yyMutvwq/4kJSuxUFdeAWPnnCWY81AO5XMqEUQCbam2XRqNjweL9fDl/J326B5fy2u8+cIWObby5HV1Y/V0URdq09OC3FYdJz8glL1+Dr3f5nxlBEGge5MYjzyzif18/V2tbzZgxUz1EAQrkxpVdKSkphIaWjcyaN28e7777rlHXMlM7zp49Wxyy7+npyd9//42VlVWZ89q3b8/27dtp0aIFcXFxiKLIuXPnjGJDoxD9Pv5KoiIK6tuMSpEIAqG4clxMxEKU4ilYGzzPnlQic93LnSc+3wlrDFcFNja+gg0eohWHScBftMFXsKmTdY2Fj79p2lZ1sDzHRsnL9NNvLjMWJ3rjKm88ferL8286yVJJKPDEl7K5wYl44W6ZZuCqew9T5btObbaFt07O5pdeH6GU3onqSc63Y31Ef5b1e9sk65oxHnEZeVgp6vZrNCY5m+TMfMb3Dqr1XAmpKoJcEsoct1bK6OSdRXRyCINDrtRqjd5tPYiRWnDkfAyPjQlBJpOg0ehY+fcFlHIZcpmE2RMLo1oOnY5k4z9XGdozCOVdv9eN/1xBIjHO36KbUw55GTqioy3K9EoPv2GFlTQHG+vCaJ/N+6/hbG9F2OA7kTdnL0bTurkHcrlxN8o/+b/tvPvlFr75YALPPVZ60/Wbn/fw15KnyMoutHfB55MZM/0n7G0teeSZRdjZWrLq58cqnH/M9J/Iy9eQmZmLrW3Zh00zZsw0LpycnNi2bVuZ42Yvf8MjJaXQkSsIAvfdd59BwV+EtbU19913H7///jsAycnG0RyNQvQ3NjrjwhmSuSVm0glnrAR5qXGVkIkmX821bF+aqyJLjZ1Kb4GNOgGFYPrw4iLkgpQ+eHJNTOewGE833JA0gsI+phL8ANaSXNqprrI1azJD9SuRCIX5sxmiAyulz/GS0wKTrV1XDLffyeK8iUzXf1oqRFQU4R/5eOZ5L68/4xoQpip66atKYEbzTUzZ+z5j/f/BXxXHudRgdsV24ePO87GQmmtuNGROR6XRwdsBubTuSuNotDr+PBzBA939jTKfoU4xBRodu68k4GDtjUZXe1EreLriDXi73Yl+k8ulPDKyQ5lze3byJSElm2Vbz9OhuRuhrQtbE2ZmFwACU0eVvaamfPb0Fh6bMoE3379N7z5phfe9PY588b4Pi95eBUD8f20as3PVHDx6g17dmqHX6zlw9AZPT+9rNFsA1Got6zafZvuKZ+jfswXJKdk4O91JJxFFEb1eT05u4bPB6QtRtAp25/8+mohCLsXWpvIoiFM73+DkuUjiE9LMot9MnROfq61vE5ocMpmMkJCQ+jbDTDUpatla23OqS6MR/Y3F2w+FuzidcEEr6vmHGPqInijvCp0fp57PO+fmMs73AMPc/0UnSvgrrjdbo7swU/O+aZuDl0NzwZ5sUcNeYmgnOlVam6CpM8VhNZskw/k26zNcxBhyUYFMzjNOv+AtN12xqroiQHGbFja3WZz1MsP0y3EV4ogXvdkqmUI/70v4WcXXt4kNAlP2uejvcYowlwtsj+7OudRggmyjebzFn0glpquAbqb2iKLIsVspzOrTrE7X/W7TBSb2CcLLSK0Dra00xGfY4W5XWI2/QKPj+73XGdvJm4WHH6Zn68VGWac6uDmpmPFAJxauPcH1yBS0OhG1RsfEIW0qv7gaBPulsvy9Zcxf252vP2qDKEL3NhGs/mgpzg6FXRkOnIpkUFgAdioLDtzKYunao+h0IpPHdDF6BNC8Lzfj7KQiLDQAr45zaBbgyv4/X+LGrSRaBrszbVJ3Rj48n7EjOrF8/XEkEoFHHwzD1dkG6X8bT2cuRNEiyI32rb1Yvv548dyCULiZe/hEOD/8vp+tG9+hebBp0lLM1I4sTVJ9m2DGjBkT4OTkRExMDKIosnPnTtRqNQqF4W5tBQUF7NixozgdwMnJySg2NBrRD41L+APIBAl9RE/+IoKxYmAp77mtkM5s9ZucCO/HC5FPIkFPG82/zBbfQibU326oSpAzAG/OiMlEidl0wrlBtvMxpZe/CEGA0fZbGWm3nVSdAxZCATZSw8WfGisPOq7nqnUwf6VNJkXriLM8hRdabaONjXHbgTUm7i7iZ+pPv6VMzRj/fSZepTS2XvW7qdAAbynVYseleEa1rzvRlJyey4Z/b9GrjTveRhL8AC9P3MUzS55g0cPfYCkv4O9L8Uzq7Mumc2Pp1CIaO+uK89pNSYsAF7zdbAn0Nl2hWXfnbN6ftdPg2LHzMdiqFDj8V0egb4/mJrMDYOKoUDZuP0f/cd8wemgH/jl0jb92nOfT7/7m8JZXmTAqhN7dgnhw1q94uNmxYsFMRj78A5ExabRt4ckHX29Fo9Gxc/VztG3pSduWnmXWGNK3FT8vPUS/3m1N+lrMmDFjxkxp2rVrR3R0NIIgEBUVxZgxY/jpp5/w9i5dGDcqKoonn3ySqKio4tZ97dq1M4oNjUr0Q+MT/kpBSlfRlc85xRxKF9tQCGp6sIMemhIVHRvIw3BHwZlUMZ89xNBFdMVWMLwbVR/UheAviVTQ4yIzXVHF+qaF8jot3K8X/+xtI6/g7KZLqtqWFVGDOXOmOXKJjpGBRxgbWLdi/F5GFOFwTBsupwfiapHCfQHHUEirvgEqD7Q3nXF3UZcboXkFWn7feZXurdzp2sJwkbua0rVFJM+M20f3L3zxs9fj6dSVBYeG0q/TdeZNKpsnWpeoNTryC+pnAzw9M5+DZyJ56ZHudbZmp3Y+XNr/TvHPPy7ax/qtZxjUpyXzF+3H2VFF5w6+rPv1Cf63YDd6vZ7NS58mOSWbd774i45tvYmNy+DStTjaty7bXeHytThe+2ADo4Z3xdKybr9DzZgxY+ZeZ/DgwcX1F0RRZPv27fj7+9OmTRt8fHwQBIHIyEguXryIKIrFXn5BEBg8eLBRbKi7ZEQjUteir7b4CjbkoGWTeKvUca2o56qYxg0xo/hYspjHLfFOm6AEMZdMse7y+0viKFjQHy8ukcplMbVebLgbY7/3DWSPpcHg7XdvCv7wHG+eOvkyiqiLPJo+l4mpH3HhNDy8Yy75unvzd1KX3M5w44Gd37LbYwbeT4YR02M0D/zzPbsiG2bbwkEt3dhxKY6rCeW3dKsNJSv3SyUCMSk59Gpbu8JMFyJSeOr7/fyy/XKp4w42h1nx1g2+edGCZyap2fjhz7zx0M5atzisLacux9E6yKVe1v594xmen9ytXtYGmPbsIhQKGc0DXUlNz+HMhSh2H7jCNwv/YeZLSwFYtq4wfN/ZSUVkdCo9Ogfi4GDFmr9Ol6lDolZrOXT8Jjm5BSz/4+U6fz2mwtiV0M2YMXOHrVu3MmjQIBwdHbG2tiYkJITvvvsOvb72kYK//PJLsRf7sccMFyC9du0an3zyCUOGDMHd3R25XI6joyP9+/fn999/L9eOvLw8NmzYwBtvvMHAgQOxs7NDEASaNas4HS85OZmff/6Z8ePHExAQgFKpxMbGhpCQEN5//30yMjIqvL4yZsyYgY1NYbH0IkGv1+s5f/4827ZtY+vWrZw/fx69Xl/qHm5jY8OMGTNqtXYRjfaOWST+GoPXXyPqsUJGFhqyRQ2q/wr77SWGYOyRIeE78RxuWJFMPnHkIBEFQnBhI/9tFIgwjy741XF1fYkgEIY70WI2e/9r7Xd3fYK6wFQbPfX7WGumofDBpUd5tOBD7ITCjgVKCuit34pTRgKbI7rzUNCNerbQeNR3aP/d6PQSnjryNj/9GYWf351w8plPxTN5+GME2MQS5FB+i9P6QCIReLRHIH+diyEqNZdBrcrvxlJbvtt4nh6taufhz8pVs3DbZaYPbsH12Awu3k6ljV/hxsLN+ExGdvXDQlG2in99Mrh7IP8cv0X/LgF1uu7JS7H0DvEtzpOvDxb93zTe+mQTB47c4MCml9Hr9UgkEma8sIQHR3dGL4qcv3ynrszyH2eg1epxtLdm8lO/8fT0Pri72hWP/7TkADYqJc2D3FAqzZuYZsyYqZhPP/2UN954A4DAwEBUKhVnz57lueeeY9euXWzYsKHGheaSkpJ4/fXXKzxHp9PRosWdFrHe3t507NiRyMhI9u7dy969e1m5ciUbN27EwqJ0+9qrV68yduzYats1ZswYDh48CICDgwNt27YlNTWVM2fOcPr0aX777Tf27NlDYGBgtecGsLW15dtvv2XGjBnFGx5Q6PUvKfJLHhcEgW+//RZb2/LbwFeHRunpL0lj8PpfJBVnLAnClgjueIYUSDlEHEeIZyyBtMGRhwjmXbrwFG1xwoJg7HiLUD4mjJPUX4EXb0FFTzw4SgIRomm8W+XRGN7jpsC97OW3V8cUC/6StBJPcjPdAxMV8DcDbL/VjaGTckoJfgALCz1zv4jh5+sTKp2jLkP7SzKqvReuNhYsPBDO3xfiyMo3fscFK0s5E/sGlzq283QUoiiSlJ5bxqsriiJHriSwZPfV4rFDl+KZOzmULi3cmNy/Odl5GhZuv8Rvf1/GQi7DwkRtBwVP1xpf26mlB2qNjkOnIys/2UhEJ2Ry4UYSndvclQ/vZrpNHUMIgsDHb46mW6g/3/+2t/jhesHnD/H7qn/ZfeAKD4/rChS+3w9MW8Ar763jq5928/aLw/jxj/28+/lmlq8/zhsfbSA5JYuPv93B/E8frNPXYcaMmcbH4cOHefPNN5FIJCxfvpzw8HDOnj3LqVOncHNzY9OmTXz11Vc1nv/FF18kPT2dESNGlHuOKIrY29szd+5cwsPDiYqK4vjx4yQkJLBq1SosLS3ZsWMHc+fOLXOtXC4nLCyMZ599liVLlvDbb79VyS6pVMq0adM4cuQIKSkpnDx5klu3bnHy5EmCg4O5ffs2kyZNqvHrBnj00Uf55JNPil8jULwBcPdGgCAIfPLJJ0ybNq1Wa5ZEEKvYj2pX4HCjLWoKGoPHHyBczOAmmbhgyTlSyEWDO1aMxB+Z0Dj2YK6L6SSSRxhuSE1oc12I/T3ZsQxQlS141JSoymu8VwU/wJG0duy84MUg/VqD43MZxGtdZDzgfwBlE2ij1xA8/asvxzGxVWG4+genn2D0J250CjG8mTimmz9r+79Y4Xz1JfqLEEWRjFwNG85EE+iionczl1r1lC8K7z9yJZ5jVxIJ9LDjdmImLnaWZOdpSEzPw8dFhZuDJREJ2bjaWzIkxJtb8VkcuBhHWEs37K0V7DsfR3pOAWqNjucfaI+sjr3XtRH9APkFWr5bcYyXHgkzuef9yq1kjl+M5eER7crWbKhj0V+EKIq88fFG8vM1fPXeuGLxn5ur5v2vtpCTq6ZzRz/iEtJxsLMiLT0XlcqClRtOsOj/ptIswJVRj8xn5/4rHN/+Ou1aeSHYN52q/U0xvL8pV++vacu+to4zjWxJ3RMYGIhILleuV02AVgUfj8m4u/ty7tw5o80JMGLECLZu3coTTzzBTz/9VGps+fLlTJkyBScnJ+Li4pDLq/fsuGvXLgYPHszs2bNxdXXlvffeY+bMmfzyyy+lzhNFkfT0dBwcDBdy/eyzz5gzZw4ODg4kJydXGHWwd+9e+vfvT1BQEDdulB+1mZqaiqOjo8Gxo0ePEhYWBsCpU6fo1KlTZS+1Qg4dOsR7773HP//8g06nKzUmlUoZMGAA8+bNo0ePHrVa526azB3T2OH+18R2HJYOJQs73MQo+ug34ybUvk1bkGBHEHYki3nsIgofVNwkkxTycaNx9M0NFuzxElXsJ5bWoiNugnHtNnv265Z7WfAD+FvGEi3tBwa0sF6UIBEEIm8pmHTtfRb0/QJ3q4ZR36ImNATBfzd20kwSE8oWHgPIzJShFBr+hq4gCNhbK5jeM5DwpGwW7L/BU/2CK7/QACXz+d3tLTl7MxmlXMrAjt609HHg0MU4Atxt6d/hjnhLycxn/uaLKOVSnh51pzL7IwNtOBOeRFt/pzoX/MbAQiljzICWbNhzhfGDW5tsnci4DM5cjeeRke1NtkZNEASBT996gI++2caIKfN564Wh9OrWDCsrBXpRZMSgtgwdULqV4fL1x/HzccTV2Yb1W07z/msj+d+742ge5NakBL8ZM2aMT2ZmJrt27QJg5syymy0TJkxg9uzZpKSk8M8//zBkyJAqz52fn18s9j/++GO++eabcs8VBKFcwQ8wZMgQ5syZQ1paGklJSbi51b7IbXmCH6Bbt27Y2dmRkZHBtWvXai36e/bsyY4dO8jMzOTUqVMkJSUhiiKurq6EhIQYLZz/bpqM6C+ipGCsyQaAKMJ6yePIrJQ84bgCF2kS19TBLEl5ks7qvwnloFHsdBYs6SG60ww7jpDA95xnqtiCYMHeKPObGitBRn+8OSemEC1mE4JLrStam8V+3XOvC34Ad4sUVA4SbicE4ydcLzW2XxhBC6tzDFPF005zgdcPz+aPgR/Vk6VNk/EBO3nl2z4MGZpSppXfb/PdGOu1tcLr69vLfzdBLiqGt/Pk14PhdA1wop2XfY3nuhKdwbTBLQlr6YriP69mzzZlC/o52Vrw0tgOBufoWE/F8Grr5S+ima8jKRm5nLocR0ir2hUzNIQoivy17xqzJzbMopEAbz4/lJ37LvP7qsMkp2YzYlA7YuLSGdSnZanzRFHk6KlbLJs/gyMnb+HiZEOndr71ZLVpMXv5Gxc19fKbqVtOnz6NWq3GwsKCkJCQMuNyuZwuXbqwe/dujh49Wi3R/+GHH3Ljxg3++OMP7O3ta2Vnfv6ddEBLS8tazVUVdDodGo3G6OvZ2trSr1+/Gl27cePG4uKCU6dOrdI1jW/rvxr4+CurLSQv0wmllYxnXBfiKktCEApbmr3n8TGHZKPIEY3XI1kPyJAgReB9uhJPrtHmrivaC04EYMseYsgTa3ZTr8n7ZMY0pKltSFPXbbHI+sbeQ82XPX9kl/0MtsoeJlIM5IbYmqXCCyRbNqOL5WkAvOUxKLQ5RGUbR8zUNQ3Ryw/gaZNCmHQ/L80KJDm5cBOqoEDCwh88OLGhgAeC9tezhdXH38mamb2COB5R86gQvV4kNjWXPu08iwX/vUq3dt5ExWey+K+zaDS6yi+oBnq9SFRCBVWZ6ym0vySCIDCkX2uG9m/Dd7/uZcYLi5FJJchkd4rq5udreGrOSp6e3pdLV+NISsmid1jF1arNmDFjpiTXrxc6Pnx9fZHJDH/vFBWyKzq3Kly+fJkvvviC3r17V1mgVsTq1asBaNu2rcm84iXZvHkzubm5SKXS4jD/+mbOnDlMnz6d6dOnV/mae+JJojre/yPS+3jGYVGZ41JBzyj77RxP7k8//jKKXXlocUCJDyp2EQ3ALTGTAMH0H2Bj4ihY0E/05F/i8RNt8K1Ch4GGIvLv5ZZ9Jb38/6a1Z0n8aFxsCh9+E7PsedhtE70cz9STdXWLgzKbNUPnsSc2hPeOvEI3i2M8ZLMFf0Uke7LvlD3xkUQSleOGjyqxHq1tejzXbiW7bl/n2ZHjyZdao1frGem+m1/7bkEqKX+zoqF5+e9GJrnTZ7cqlAztl0gEFDIJyRl5ONuZ3pPR0BndvwUp6bn8vvEMGdn5TLqvDb4e9rWe9/KtZFoH1q4GgynJzVVz8lwkvcOaMWFUCONHduKT/9vBsnXHycjMw8628LPxz6FrdO7gi4ebHcvWH2fvoauMGtKw0hXMmDFjXJKTk/H2NpweVxEvvfQSL730UpnjaWmFBY0rCq0vGis6tzJEUWTWrFno9Xrmz59fbVvv5sKFC8XzvPbaa7WerzJycnJ49dVXAZg2bRqurg3H8VOd5wu4R0R/SSrL/c9FhZPM8AfZSx7HWaGH0fq8FYX2dxfc0YsiF0hhJdd5WmyHraAwziJ1hFSQ0BtPLotpnBATCTUQ7t9QhH5J7tWi7CUF/6G0DmzJHsDqSe9jrSj8u8jVKHlq6wvoUyX0cTxVX2aaHHsPdfG/BQEGeJ7i/ywnMNVhRZlQc4AonQ/e1ofq0ELj0FC9/CUZ5HeSQX4n69sMo9KvhSt/nYvl/g5Vy6XWaHXEpORw5Eoier2IRqtHLmt8AXnGCu2/G5WVAplMgspKwcXwpGqJ/sTUHBQyKUqFlK0Hb5Celc+Zq/78ez4IZ5en+fOgBdOGH+f+PlcM/u3XJ1//tJsCtZbQ9u2Z978wjp/xx9auNz1GSXl0UidemnWGDdvO8PnbY/jm5z042FsxdWJpb5Q5n9+MmfpFFPVGTeEQ0aPT6YiLi6v2tZmZhgvnFoXNKxTlaxClsvBZPi8vr0pr/frrrxw4cIBXXnmFtm3bVn5BBaSnpzNu3DjUajXDhw/nkUceqdV8VWHmzJlcv34db29vvvjiC5OvZ0ruOdFfxN0CtGgTwI4UojWeeMvL9oW+VhCEqxhlNBsCBFsixSxEUUQiCLTHmfY4G23++qCV4ECqmM8eYpjg64u1xJwz3pAwlMO/OH406x58Dyv5nY0wK3kBP434igdWvE9vh1MN7iHYGJQU/EUIAvT0OM/B1B70tv631Ficxp18uS2+qobVz7wyGoPgrwkN3csP4KxSkpJdtdoyUn9Hvv/zHJ2DXRjTIwClXFr5RfcQZ67Ec+xCDFNGtMPaUsHXS47QJ9QPa8vSD6dZOQXIpBIsLUrf65ZtOY+LoxUSQWBU3xbM+X4M9gEiO35Mx8YmkrQ0GV9/HsKxH3356KkdhRfVcWj/7agUrK2U2NpYIJdLEQQBKysFS354lMmzFxMT34tPP4li3eaHef+dySiVCtQFvXlyTl/cnDeyeed5WjV35/CJWzw9vW+d2l6XmPP5GxfmfH7TIZVK8fKq/oZeeSHxRT3v1eqyz0dFFBQUfqdVJbc9KSmJ119/HW9vb+bNm1dtO+9e94EHHuDatWu0adOGpUuX1mq+qjBnzhxWrVqFSqXizz//rLDYX2Og6d05a0jRJsCEgr9ZmjaZ112+LCV0cvSW/J0xgGfFN4waE65AWusCeA2Fot+hD0raiDbsyo6hudKOQEXjSldoqhgS/IkFjvjYJ5cS/EUoZRoCHeOIK3DG0yK5LkysMwwJ/iKeb7+Gx/e9TkyWNwMtd5OvT2VH9kD2aQYyv8//6tBKM42dXw/e5OEw/yqdq9eLONlaGCzUdy+TlJrDX/uv0dzPiSfGhxYff2pSZ5ZsPoeHs4rhvQs7Jew4HM61iFQslDL8Pe2IT8lBIghIpQJ9Qn0JbV3YunT/KV+ULvbM++BO+yYHBy3vfxLO7BktOX/dlXbBdZ/Cc/FaHEvXHiMiKoXImFQ+eP1+duy9xLL50+nTfR5L139BeHg7/P1cGdi/A9ZWSlxdo9m5xwKbPEf2HLzGr18/zPiRZQtwmTFjpunh7Oxs1JZ9VQndr0oKQBGvvfYaqamp/PTTT6hUNa+JptVqmTRpEvv27cPf358dO3ZUaf3a8OWXX/LZZ5+hVCrZuHEjoaGhlV/UwDGL/rsIVobT3vI88xLfZrTtZtxl8VwtaMHWrPt4QLsQhVC+WKgJciQkirm4GrntXV1QUbi+TJAw1MaH03kpHMiJp5eVW/HmRpZOxbHcUDSinPaWF/CUx9eVyfcs5VXp14sCUqH8wlhSiR692PjCiyuiIsEPoJRqWNT/I/bGhbAhfArhuoNMCRRY4f8uVrKG3z6uJGYvf/0ys1cgq09E8miPwOJje68mEp2ei0QQ0OlFejZzJrjznQrraVkFONg0vFSoqmKM0H5RFNl34jYRsem4OFjxyIj2yO+KfFAqZDw2NoRbMWks/uscMqlAr06+3NejsHhdREwag8ICDW6qL/u7My9+YLgF7xPPxLL05xA+C95e69dRXYYPbMvwgYXhr1nZ+Xz54y7atfKi/9hvCL/dnDUrxnH6zBW6hAaTm1tAgH9hm6rHp0t4c66anNwINmw9w9gRpdtJmUP7zZgxUxWCgws3UCMjI9FqtQaL+d28ebPUuRVx+nRhIeRnnnmGZ555ptRYdnY2AMuXL2fz5s0AxMeX1QOiKDJ9+nQ2btyIh4cHu3btwtPTsxqvqvosXLiQV199FZlMxurVqxkwYIBJ16srzKLfAMNt/qar5Ql2ZffnWG5n/OSRfOD2HpaSfMBwWkBN6Sy4sl+MJUfUNtgCfrXJxe9k6USiNo9NWZEMVnmxOWM8J7Pa0Um3HyWZ/CadiFwh4UXXH1BINEa02gwUin2nhPLDhN2UKUSkuaPWyVBIS4fgafUSrib74OXcdIrWVSb4i5AIIgM8TzLA8yQbImIZ42/aLxhT0FQFf2PCSiHD30nF2eg0dPrCgjt6UeThbv5A4cPMofBkDu64grezNXKZhMxcdaMW/cbg941n6NfZn35d/Cs9N8DLgQCvsh4ffwPHikjLssTDw/B3t7tHAWlZzvVetd9GZcF7r44E4IGhHZjwhI4DB8/y7FMjUChk3DfqXZb9/hLu7g7Y28txdmpB6+bRjB5quHWjGTNmzFRGp06dkMvl5Ofnc+rUKbp27VpqXKPRcPz4caCwd31VSUgoPy0yLy+vwvoAzzzzDEuXLsXJyYmdO3cSFBRU5XVrwsqVK3nyySeRSCT88ccf3H///SZdry4xi/5ycJal8KD92krPq0wQV2VToI/gyWkxietiOsGCPaIookNEJtSdh9WURfZcZZaMsPHhu2RrsnLSeFqcW5w60Vl/gHN5Xfkh6TFedPvRZDaUR7wmlz3ZZes3lIehRAyhgnwPgyPlnF7duStb08lFxuUkuJyVQbB1+RtKPWz+YOqfI3mz9zKkQqFQ1IsSPj30ED1Uf3A9x3DBl8aGrYuG+PTCf+dqtViV047mbtLUGq6kZ5nOMBNg7aqHBpwiKq1FRlNj8fIX0SPIiZ/2h3M9MQuFVOCNYW2KxwRBoO+gFvQFIhOzKNDo8HNrvC0za+vlz83TsGHPFdydVAR6my50M6R5NAf2OTBkaEqZsf3/2NMpONpka9eE1i086Bai5vjJCP5Yugc/XxfuH9EVrbYwSmvDRjdef7ozvcOavkffnM/fuDDn8zcubG1tGTRoENu2bePXX38tI/rXrFlDZmYmTk5OVeovf+bMmXLH3n33Xd577z1mzpzJL7/8YvCct956i/nz52NjY8P27dtp06aNwfOMxdatW5k6dSp6vZ4FCxYwefJkk65X1zS9u2cDo6pi2gdvrhZkcEWdTJ6oRUAgxNIJL7l1hRsHDbEiviFkgoTYgjfoJ87mFPmEiHeq+7cXjvFvwTDSdbbYS+tWYLrLrRigqpoXVxTLr/VvaMTw2dU5WtHc5Vwhgpdv6VD+W7kVC9bu9ucQ0yU8teUFmjlGIwhwPcWbgfaH6elwpsJrGwu2LqWjSI4kpjHA06VK1/ZwbVyFW6xdG76HX1fDthmNTfADKGRSnh3QHL1e5NitJLZfiGOKgTx/X9fGK/aNxYrtF5gyvB0WStM+msy4/wRT3p1C957p2NjcSW9KSZHz2wIPNv1x2qTr14TP59oy/okPSEz6HKk0hcSkdPbsO8eNcBVbt91k3OAkoGzrLnNovxkzZqrDW2+9xfbt2/nll1/o168fDz30EABnz54tbvP32muvlarw/8033/DNN98QFhbGypUrjWLHV199xccff4ylpSWbN2+mc+fORpm3PA4ePMj48ePRaDR8/vnnzJo1y6Tr1Qdm0d+AaKG0o4XSrvjnzZmReMmtG42wrwi9KCDVq2kv2JIiKthDDD1FdyyEwo9gkP48N9UBhFierWdLy6eigotVd1yatmijt3/Z3H0vCyuaqypOHWmuuslUr1vczivcAPHz2ItEEIGGmXJSHQpD+i1KHbucnkVL+6YnshpLSP/F5OxqX9MYBX9JJBIBEQkdfe94sKX+jWtDqSJq6uXXaHT88ddZlAoZ7Zq5mlzwA7g65vD+Y1sZP2IEI8ek0LJ1HufPWLFjiwNfP/8nNqqGV1zX2Smfnz8/zPApIu3aDSUq+neuX3sJK4s8dq3ex5ZdMXRsW/1+3Y2JpujlN2OmodGzZ08++OAD5s6dy+TJk5k7dy4qlYoLFy6g1+sZMWIEL7/8cqlr0tPTuX37Nv7+/kaxITY2lldeeQUAGxsb3nzzzXLPXbt2Le7updOxQkJCiIyMBApTEgBu3bqFs/OdDmmvvfYar732WvHPM2fOJC8vr7hw38aNGw2u99ZbbzFs2LCavbB6xnwHbcAkaPNI0ebjJLOo/OQGjoCI5r96CE6CBX1FT/4lnkDRFm9BRZbgiEpytZ6tbLyUV6ivOkgEkQArw8WtGitVzeE3Y6YusFBI0f8XMdSUBH9NSErN4dCZKC7dTOKZB7tiq6rbze3u7aPZ8e1Ctv3bjIhDDnTwSuHV78KRerrVqR3VoXlQJjeOdORWZAbxiQ/TzH83Ls6FfbV1epHsnHxU1neeF8xe/oZPUwvtF0XYssmHPxYHka+WIJPpGTf5OgOH326SrX+bKm+99RYdOnTg66+/5uTJk8THx9OuXTumT5/OM888g1Rq2payarW6OLo2MTGRxMTya0vl5+eXOZaamkpKSun0Lb1eX+pYbm5uqfGiVoQFBQUcOnSo3PUqqk/Q0DGL/gaIXhTJ1mtwlllgKWkab5EggLcyltu5zfATbiATJPTBk4tiKtFiOhGS5gQrltS3mY0OY4j9psq9Jvgbi5cfqPbDX2P38mfkqrGzUnAmMo2p3f2rfJ0oinyz4RxuDlYUaLT4udqi0+vRixT+X1/4f51eRC+K6HSF/y+ZiSQIhQ/iRf+3sZLjqFJia6VAZSnHQiFFKZeikElRyiXIpJJSUU2iKKLR6pBICscMURUvv0ajY+eRm6Rl5qPV6XF1tGJQWCAPDGhZ5d+HsZHL9dzf91q9rV9TAnyzCPAtnbZ141YSr76/gR8/e6ierDJjBt6aE0qcWmToW0exstWQmyln19KWnDjsxpwPj9W3eWaqwciRIxk5cmSVzn333Xd59913qzV/Rdf4+/tXmFJbGREREXVyTWOjaSjKJsa2rCjitXkMtfHGqomIfoBpTiv5UP0Kw7RLaMFZBAGcact2yRiaW82hQJRgIZh297CpYBb75XOviX1oXIIfoDrf5Y1V8Ku1OvZdS6KVhw3rT8fgYCUnwFmFVCKpspdfEARc7C2Z3D8YtUZHalYBUqlQ2HteIiCRFP5fKil9rLxUJFEUycnXkpyZR1auhvi0XAo0OvLVOtRaPWqtDo228LOklEko0OoRBAGlTIJWL6LV6Ys3EArnA4mjHZxNLPWAJghCqZ/lMgm34zKwsVJgq7JAIZGSnlXAX/uuFZ9390ZDyWOiKBbPWXRMIoBehPwCLTdjUmkVULZGR8nrC39XEmQyCRYKKVYW8uL/LP/7v4W3B2TkFr82URSLbSn+uUrvXPmIooheX/hf8b+Lj+mLx+4cL/ydF51faIceKHyvJRKBnfsuE5+Yzqa/zxeL/qbm5W+Kof116eVPSVbyz05PtDoJvfvG4eWTW/lF1eTsaUfCk+Q88OaJ4mNWthrue+o8Gz7uzMUzTrTpWLZ4phkzZirmwoULtG3bttbzNL27aBOgo6UTJ/OS8ZJb17cpRsVRlsY8z89Yl3Y/O/IeQoIOJ3kGzzv+iZdcwt9ZMYRaOuHZxF63MTGL/YqpiuDP1epIVauLK/LH5xWQVqDGTiHH06owNDZToyUmp7CFjLe1JTbVeODUiSLXMgpz1p0sFLhaKMnR6oj6b76Wdqric69lZDPK173CehGV0dgEP0BCdgEXkyrviCDzsYXYjDqwqOaIokg7L/syx1Ny1Cw/FkFzVxt8nayRSiTEZ+azOiIFIso++DbztMNSISMiIZOsvDuFJyWSws+GQi7F3dGqVrYKgoDKUo7K0nj3kdpW7K8tu47cpH8Xf/wNvAcl0etFdDo9Wp2efLWW3DwNeQVacvLUJKbmkJuvQZ+sKd70gMLNDUEQijc5Cv8t1DpMWfLfJo0g/Ldx8190hVQqIFD083/nSf77d4nzJf+1fizaHNDqdOTkqtFodUREpeDv41Q7A800GUQRvvy4AxfPOTB8dCRKpY4P3g7Fzl7NR18eQyar7TbWHRYvDqLbxOsGx8ImXWPBNx349rc9SOquMZUZM42WmJgYli9fzrJly7hw4QJabelOGM888wzJycnVmtMs+hsgnjIrztVhu766xE6ayQznpQZGpIyy9eXfnAQStfl0tDQ/tJTELPYrpjre/VytjmY2d4S3u6WSfh6FxV2KNgK6ujiAi0OpY1WljYMtbRxsS11rLZPygJ9HmfmKNgJqQmMU+0Woq+Dql/k0jiKSN5Ny0IvQwdu+1HEPO0tC/Rx5oIMX3o6FG5mVefgvRKTi72ZL20aS71/fgl+v1xMRm86ArgGVnlsooKXI5VIsLeQ42FqWPsHN3fCFjYBAP2fa9vuAz98ey/e/7eV/Xz9X3yYZlYq8/FqtQG6uFBsbrTln3ACLf22OXKFj0aq9xcfGTIhg/aoAPnmvE29/cMpoa6WmKmntYvg7zc4lj4xEFU+PH85bX+/H26/6xVzNmGnqZGZmsnbtWpYuXcr+/fuLo80MOYaefvrpas9vFv21JFdvSarOEXtJOippTrWvz9FbsjtnIBfVbbEQ8ullcYBQy1Pk63VoRD3yJir+y6OHtRs3CjLZkRXNIJUXknv4W9ws9KtGdcP5RVFEIggGq/dX9VhVqWy+Kxk1e/BpzIIfwEtlQRuX8n+vjSmkv62nHcuP3S4j+r/ZdYVuAc7Fgr9KczUSsQ/1L/h3Hg4nPjkbnV7f5MXeybORZGbn0b9ni1LHF606TPNAV3p0CaJX1yAkEoGTZyPrycq6JSlJwTtvB3EzQomtfQGpSVbcPyqJZ5+LbBSe5LoI7RdF2LTej9V/7SozNnbSLdasDCQ7W4ZKpTVwdfUJDUkh/IQL7QaWLQh884Qbkx6I56Gx8Tw8qw/fr9naKN6nho5Wq+XUqbIbNx4eHnh4eNSDRWaqi0ajYcuWLSxbtowtW7YUFxSsTU2D8qiy6C8SING3NZWceW+Qq7dkYeoMknVOeMliSdC6YSnJY5bjL9hVsdd8tMaL79KfZYrPNqY5/UC2zoq1MQPZmTKYZxw+4a/MCNpbONKsRBu/e4FmSltcZRZsyrzNQJUXNtJ7S/yaxX7VqGnuvkhhPnBDQKDQnuqY09gFP4BSKlCg1aOUlX3qa0yCX6PTs/jwLboFOpc6vvZUFAVaETurO3/L93q1fmNy4UYicpmUR0Z1MM6EDdzLv+/wdeztLOnfE1LTcrBQyklNzyEsJIC3PtnImYvRABw4cgO9RE5iYjqurvb1a7SRMOTlz8yU8dCD7XjmncPFOeJ6Paz+vTUvvdiCb741dwICSE9T4O6Rh1RqWDx0DEkm/LotHTqlGmW9h6eGM358f5p1TcTS5o5WyMuSc2JVSz5ZcwpHRw0D+6RxdL8n3fvFGmXdxoJWFInPNc4GCxTWNElJSSE0NLTM2Lx586pdWM9M3bJ//36WLVvG2rVrSU9PByhTG+fuY7Wl2p7+koLkXt0A0IsCHye+ziT7NbSzuFh8PLwggI8SX+dDt3dRSCr/3fyUPouv232Nq7Lwhmsty+fpwDVsjOvLjuRxjLdbz6X8NA7mxNPLumE/lBgbW6mCUbZ+7MqOobnSjgBFzbytWToNx/ISkSNBS2ERpA6WjjjLLDibl1LjeY2NWehXj9oU6xMRqyWyGxJNQfADBDpYEZ6eS2tnVanjjUnwx6TnsuJYJI+E+eNmW7qt6oi2Hszfd4PWHoUbtk1N8Ne1l//0lTiu304hJ09DWHtvDp2JYtb4sg+6NaKBC36Ac5ei+fjN0QDk5BbQb+zX9O/ZnE1/n2PGQz1IS8/F19uR2IQM+vRqw7sfrWT+t0/Ws9Wm49dfvBg/83yponASCTw48xLznnElPNyKoCDjF6ozFnVVwM/CUkdGhqLc8eQkS2ztjPccb++g5rNPT/DKi30I6BaPT5sUkm/ac2O/Dz98ehlHx8K1+vRIY/sxp3tO9JsCJycntm3bVua42cvfMLl48SJLly5lxYoVREVFAYaFfhFFYzKZcQLzazXLvboBcDIvhNYWl0oJfoAg5S0GqPayL6c3g232VDhHeEEAzWyiiwV/SUa6H2BGzNuMZz2tLRw4n5/Kpfw0Wls4GPV1NHSkgsB9Nt6czEsmITePMKvqP2geyI1nsMqrOE1CFEU2Zt6mrYUjtzTZPGDpZ2yzq4VZ7FcPY1Tm14tUv2ecCRGr6OpvKoIfoLmDNTtuJZcS/Y1J8Gfla9h2IY6XBrUoLrRXkhXHI5nZMxAwC/7qIooiR8/HcDs2nUlD27Jsy3laBzkzYUgbtFo9h89G89iYTia1oaExfFBb3v78L2ZP7YOVpYL+PZvTvrUXQ/u3YXDflshkhV1vkjUqNm05xorVB4iMTMLXt2xHg8ZEebn8u/c48OXiowbH7ht3nU0bfXjxpdumNK1RYGmpw8ZGza2bNgQElq5Nk5EuJ/K2dZnjtcWrTQJLNm1l+ohRdHeTMaRzNiPmHi1VMPB2lCV2TsZd915FJpMREhJS32aYqYCSBfnOnz8PVCz0i8atrKwYMmQIY8aMYdSoUUaxxWg5/fdS+P+xvM6Mtv3L4Fgf64N8lfx8paI/QetKM7tog2NSQY9SeicEqJ2FIxfyU+9Jjz9AqKUz0ZoctmRGMsTGu3p1DkRKnS8IAiNtfYnR5DDcxtsE1laOWehXH2O24dOLIg0llbAqew9NSewXYSmXkleiSnpjEvwAV+IzsZBJWH0yiqImbgLCf1EkAsnZ+dhZyutd8IsiHL4cyJZj7QAY0fU83VvdrPGelykFvyiKbN5/jci4DAZ0DcDGWsniv84S0sqDts0K15XLpfTpbMSN2kbg5Qfw93HC2VHF9n8ukZiSRaCvM3n5GmIT0lnz1yl27L3M74vmsGL+Ztq09mVg//a8+NovrF0xp1adQRoyEonhkFeFUoda03Bfc1226QOYM+8Mz8/qwdsfnCKkSzKCANeu2DH3tS688c5pk6wpk4lMePQSVgX2jB6ZWGpMqxVYtNyTz37fYZK1zZhpCJRXkK+I8jz6JVvTJicnY2FROoqwthi9kN+96v0voqqZF57yOHZnGd6d0+olFOhKvzVtLRzZnBlJpk6NrbT8cK2mirfcGiepki2ZkfS2dsdJVrU/hFYW9pzKSybE8k7OrUyQ4FfHYf1moV8zjCn2iyh09Dech0Kxgqz+pij4iyh6Cxqb4Afo4u9EF3/DHUZWHo9EQKDAw9bgF2x4nDMbDnYgXy2jf8dr9Gh9yySBJ3kFcqZ++SjBnolM6HMSgDX7Q/l6w0AWv7IIS2XD+n5OSstFqxUZM6Alnq62tAo0sZe6kQh+gI5tvPH3cSI/X4OPlwPJKdlcuhZH8yA33F1tWbLmKJ9+uY4ff97GvLceRCaVoNbo2LHrNPcNbpxewIoq9nfqlMWpI26Edk8oM7Z3awBPTjdOjnpTwM8/mx9/O8hP37fi8486IAjg7ZPDJ/87RlBw1epP1YThE8J5e3Z/9KI/TzwahbW1jus3rHnj3eaMmnIZa5uGdf8xY8aYuLm5oVYXPr+WJ/ZLCv2wsDA0Gg0nT54sHje24AcTV+9vqhsAYVbH2JfdhykOK8uM7cvuQ5iV4bCzkvgrIolMciU6zxVvy9I7oWtjB9HVouwcw2x82J4VRVcrF1xklmXGmzqWEhmjbf34JycOd5llldIdcvQaPGS1621dE8wiv/aYQvBD9QvnmRKhAkuasuCHQi90YxT8FRGRkkOeWsug/sFYW5S+B4givPLTGJKTLZjSeT/Winw27+nMF6sG88fri7GzzjeqLXP/uJ+Z9x1iaOdLxcc6BUWz/URr3vpjNF89sbZa85nCyy+KIqcux3EzOo3k9FxmjglBIZcafZ3GjkIhw9X5zka1i7MNff/7+cCRGzi6OuPn40Lk9V8pKNCg0+kYMawzixbvZvDAjkiaWJn02bOjeWRqZ/x+3I2z652/m6P7PUhPsKVTSET9GVcBde3lL8LDK5d3PzlZ+Ym1pGSROplM5IMf/+HvDYGMm9YOvV6Cg0seDz57gpbtzJsyZpo2BQUFpbz2RZQU+j179mT8+PGMHz8eLy8vXnzxxVKi3xTUWcu+u0VQY94E6GRxho2ZIzmV14EQy7PFx68WBLMvpzcfuL9bpXmesv+RORdeZJTnAfo5nyRLa83amAEkZqt43vH/ypwvFQSG2/iwJSuKkba+xno5jQpBEBig8uRCfhp7s+Poa+1eodfWXqokRVeAh9z0wt8s9I2DqcR+MWLDLuTX1MV+EQp3a3R6PdImIkjWnIzCyVrBjIdCDeb5/7SlF56KeD5/eEvxsbDA6xy9FczzP0xg0WtLjGZLbr6cqzFu/O+JdWXGhna+xPd/9SM3X46VRdW+h00h+G9Gp7L9UDg9O/owYUgbo89fIY3Iy18Zqek5XLwcxZQH+wJw4eJtFAo5I4Z14dLlKHbsOsPQIRV7++PjlcTGWeDvl1tcbK0+qcjLD+DpWcB3317jtRcG4OSehZtXNlfPO+PppuO33y9WeK2ZukMmExkxIZwRE8Lr2xQzZuqFkhX4JRIJvXv3ZsKECYwbNw5397r/Hqoz0X83jXkTQCKIvOHyOb+lPcq6jDF4yONJ1LpgJ8nkLddPUQhVa8nhJk/kfed32J/emy8TJ2EhyaO3xQFaOV4pN9xTEARaKu35M/M2QQob2lk0rSJRVaWthQNJ2jw2ZUUyROWFpcTwR9lbbs2l/DTamqAIolnkGw+TC/0S6AFJgwrvL+ReEftQ6OH3F3REpOQS5KKq/IJGgJO1AvtAJ4OCH2D9/g78NeujMse7BVznhwMisSl2eDplGMWWuDQ7gj3L9yoGeyYRl2ZHkEdypXMZU/Dr9Xqi4jPZeeQm/p72zJ7Yue5TbZqQ4Afo1jeMp3NlDBnUiY8+W42riz1hXZsDMH3qIF549ZdyRX90tAUvvtAMhTaLQLdELkX7Yesq55tvrmNnZ7zWYtWhMsFfROs22WzecprwcCuSkxQEv3C1QWxYlEd9efnrCmO2ojNjpilR5O0fN24cTz/9NH369Kk3W+pN9N9NY9sEsJQU8LTTTxToFaTp7LGTZmIpqX54pkKiYZBqD4OouPBfSZopbWmmtOVATjzRmhy85dbVXrcp4CKzZJiNN39nxRBq6YSniX8PZpFvfOpS7BchilCOLqs26WoV22N7kKO3JtTuIh2drlXr+iIz7hXBXzKcv6W7DQdvJDcJ0Z+Vr+Foai5TQwwXB9XqJKgU+cikht/nUO9wrkS5G030O9tmE5VU/kZnVJIDzrbZlc5TW8Gfkp7L5v3XUcgkKBUytDo9tiolM8d0qp+6Go1E8Ov1er77dS+zp/VBoSh8TDt66ha/LPsXtVrDov+bhiAICPZeeNjD4zOGsHTFXjq2DyQjI4d2bf0B0Gp15W5CZWVJmfpwKxY8vpBmJTaIjlwJYPJDk/hr81kaQxBOUFBug27PZ8aMmXuXkvn8a9euZe3atbi5uTFmzBjGjx9Pv3796vS7sMGI/rtpLJsASokad0li5SeagN7W7vybk8Dl/HSaK+3wUzT+h+fqohCkjLL15d+cBOK1eaUK9hWhr3J5xdI0HZHfcLzaRdSH2C9C/1+F9dqyKOJ+9uX35uFxl2jlmM+Of8bwf6dU/K/NZzgoKxdUAJaOemw89dBg+gmYjrvz9+0sFWTmN8z7enXZEpfBU6Pa4GhjuPCOVKInW11+UZ7IdBeG2BuvxZiddT5WSjUXb3vQxi+u1NjF2x5YKdWV1hCoreA/cOo2N6PTmTqqfcMonNlIBD9QnIM/8pH5tG3pSbcQf1LSctj77zVee3owb3y8kTfnPordf+e///FKuoQGM+y+0FLz3LwVT/NgL4NrLF7iwWP9d5YS/ABhLW/R48IFdu525r7BlUeCGJOqevkbG2Yvvxkz9yaG8vnj4+NZsGABCxYswNnZuXgDQKs1/d9Ro7nDGhJgDXUjoC7pYe0GwHOxh/k/z+71bE390cPajfCCTLZnRTNY5Ym0RJu+AIUt4QWZBClty72+6Qh8Q9Rs08MU1KfYL0I0wq9jd1wXIl3bs+XdNcWpOEN6hHPykjtzPniZnzq+V+kctl56hGsNQAzVAU2tYF9Jdqfm0M7fqVzBD4WdCtoFxrL/Wiv6NL9caiwlW8XVJG/a+m8yql2fz1zPw5/PYObQg4zrWdiaa92hTvz2d0+WvPp7hdcaI6T/akQKj41tnJXjGwLPPz6A5x8fwMmzkRw9fYvsnAIem9KTy9fjOXQsnOx5Swj0d8fOzopOHQLLCH6Av3edZuSwLgbn37XDgeVPGW7ZNqbbcRZumVinot8s+M2YMdNUeOWVV1i5ciXR0YWt2QVBMLgBkJSUxMKFC1m4cGHxeaIxHlLLoVHfZc0bAYVk6tQMVdVPz/mGRJDSFne5JX9lRdHX2h0HqRKAALmKI3mJxaK/aQv8hkdDEPol0SPWOrx/efz9LHl/Z5naG6Gt43HxE7mW4UNzuyiD194rofxQudg3RsRFfSL1dyQ/PhPfKqQovP3wdiZ9OIOYjD2M63QEuVTHwRut+HjHeD5/coPRbXN3zOTPeT+yZE83Jn7yOAD3hV5iwzsLUFkWlHtdbQT/kXPR3I5NB6BTywbkWW9EXv67Ce3gS2iHwsK9R0/dYt2W0xw7XLbQb0mysnLZ9vcptmw/wdw5Ew2eI5WIaHUSlAa+DjVaKTJ5w9ksNtNwMXv5zZgpy+eff87nn3/O3r17Wbp0KevXryc9PR0ofwOgaKyI9957jzFjxtC+fXuj2dWoRb8hyhN0TXkzQCWRIxckbMy8jY/cmk4WTg0jnLIesJbIGW3jyz85cbT3tqGjnSMFOgmqJAFvd7PYr0samtgvQhRrLzZFhQIHW8Ph0f36RHPxr8Ayot+Q2BcwTuRBQ6Qq3n2xAUWhVBepf2ER1YEdvdhxKpoxPQIqPN9elcf6dxeyeGdXHvzjVfR6gQ7NYvj99aV4ORsnl/9uVJYFzB6xn9kj9lfp/Np6+K/cSmbqqPZGaRGXlJrD4XPR3I7LwNneErlMikarL+MFKVkduQiZVIKVpRxrSznNOrXAp9bW1C3xiRlYWymxUd2JHvnm5z28NG8t61fOMXiNKIr8sXQPBw5dIj09h8EDO7B66WvIy/GgjxqTyvJ9YTx+X9nPxopDPXjgsRTjvJgqYPbyN07Mgt+MmYrp168f/fr1Y/78+WzevJmlS5eydetW1OrC5+OKNgDef/993n//fQICAhg3bhyfffZZre1pmndaAzTlzQCJIDDYxgudqOdyQTo31VkVhrI3Jcp7X6fix+mMVDYnRBObn8sED786tuzepKEK/ZKIUG53jKpSoJag1wtIJGVFa2yMNT7KrOKfK/PsN2bha4jqhPI3Rk9/kdgHOB2ezKnriYzo6l+la60t1MwedZDZow6ayLqaU1vBX6DWYmOtrLHgF0WR65GpnLocR3JaLs18HekT4oe9bflpE+Wh1erJzdeQbW3Hbyv+xdPdnu6hAbRq7lEj2+oajUZH/7Ffs+T7R4ttfmR8VyIS8unbuy2ZmbnY2ha2oRVFkd17zvLEM/N5+42JLPhudrlCvySTJsQzeklPWntH07PNzf/mgg2HQ7iVFUiPsPOme4ElaKqC34wZM2aKUCgUjB07lrFjx5KRkcHq1atZtmwZBw4cKBb6JTcASor/mzdv8uWXX5pFvzGoKNS7sW0ISAUJCkGKrIl5+Wsajt/JzhFvCysWRYXjoFAa2SozRTQGoV8asdZSs4vqDJv3NeP+/tdLHS9QS9myM5ClneZXKYy/if2pNuncfSgt+H/eepHLUWl0beHGP+dijL5Wdp4aEbCxVBRGpwiFoszNwRI3eytuxWeQna8tHitJ0TGlXIJae5dnnNJVPgRA5myP9EoqUokAIlhbytHpRfSiiE6nR6cX0elFRFE0GJkiiiJpWflkZOWzZscl9KKIXi8WjxWvZeADn56Vh42VEgRo7uvE2AEtkcultYpWk8kk2Ab5YQvMeKgHHm52LF9/HGsrJb7eDb/NrY+XIz99MYVflv9Lu1ae6PUiidkCA/q15/lXfqFbl+b8e+QKv//8HO9+uAIfb2fCL/1Urd+ZhYWe1Wsu8MYb9/PRBhnuDhnEpDrQrUcOS5ZeaHL3prrG7OU3UxdotVpOnTpV5riHhwceHo1jk/New87Ojscff5zHH3+c6Oholi5dyvLly7lw4QJQsfe/ttzzor8iqiI2G9rGwKX8NEbY+ta3GVXG1Pn1LkoLWtnYVX6imWrT+MR+IXqxMDqmNjzuv45ZP7xLbp6c8UOuIJPpuXbbidc+7ssL7Zfi5NOw7gumpqZivzFFOZQU/AAB7rb0autBa1/TiMjT4cnsPh3Ng32DsbVSlBq7EJFKgLsdbf0rXluv15cRgkU9gwv/DXi4FIr6/8T98q3nGTeoFVD48CGVCEilEqSSwgcRiaRsfIYoFr6Tokjx+eW1iivJxRuJHDkfw8MjjZezCJTK4fd0twdg8tguLF5zlGkTw4y7lokI7eCLlaWcE2cjycrOpUO7lpw6c5Oxo8O4ci2GzKxcRk/4iO2b3q3xGnZ2WubPv4paLZCZKcfePgaZrO7+Jpuql7+pC34zNUOrF7idraj8xCqiEyElJYXQ0LJFPOfNm8e7775rtLXMmAZvb2/mzJnDnDlzOHfuHEuXLi1TANCYNM07bh1SE9Fqyo2CgSovDubE01/labI1KqIhFsnraOvA1sQYhrsabl1kpmo0VpF/N4XCpHZzWMvz+bnTPFZsHM7IxaORSMHDKpm3Ws+nrUtEte1pzNxL3n2AM+HJnItIIdDd1mSCH6BTkDNJGXkUaHRlxioT+0UYCrUv+RAh8SoM6ZdKAbkUAGtLBU72VjWwuHrsPR5BXoGGmWM6GXficor2nTjryg+LvPn2Vx0CIp07JNCrS2zhawekUgGZVIpcLkUuK/q/hJbB7ri51E+6XKvmHrRq7oHGypWUlCwCA9xxcrRh0ZI9pKRksX3TPKOso1CIODvX7f29qQr+ewGzl7/h4OTkxLZt28ocN3v5Gx/t27evsACgMTDfdesBUwrjpAIdXllKvJ0bnviuL7wtrbmdl8PhtCS6O7jUtzmNiqYi9EtS6JOsfaExK1kBMwM38KLXuhrP0Rhz2oto6mIfygr+k9cT2XM2lqdHtsHKwvT32OSMfJxrkNNeFcrL4beylJOTp8ba0ngeqbvRaHRExmcwdVQH405cjuBfsq452w8Gs3SNE/7+eeTlSViyqB+bd6lY9v3fyGQier0ejUaHRqtDo9Gj1epQa3TsP3IDD1dbenVrZlxbS7Dp73NYKGUM6dcagHe/3MzLTw5i/5Hr3IzX8PYHy+jVvTUSqYTgIA/yC9T8u/ezRluwtykL/qbu5TcL/oaFTCYjJMTcGrWpUbIA4F9//cXy5cuNMm/TvfPeo9jLFWRr763Q4qrQ09GVrYkxpGvU2MtN9zDbFGiKQr8kehGjSG1jtd5rbI7+e0HsQ1nBD3AxMo1Xx3csc/zYVT9+WNWN2CRbWvgl8+yDh2nhnWAUO4wt7Cor2BfayoMTF2Pp29nfqOuWskEQyM5Vc/ZqPG2CXJHJ7mzCnbnizu4TzVDKtYzuewkf98yqTVqO4M/IVLDsz9Zs2HK62KtvaannidlR6PU+LF3fnEcnXkUikaBUSlDe1cNuwqgQDp+4yfotpxk7ouKohPQMBZ//GMKJc+4olHoEUc/jky9w/5CIik13seGxl5ZyckdzPvh6G2cvRtN/7Nc4ujjSPNiTd958ELVay/Ydp9i15yzHDn5pFvwNkKYu+M2YMVO3KBQKxo0bx7hx44wyX9O9+94jpKltWBM/hDNZLREAP4vNOMtjydZqUMnM3v6S9HZ0ZXdyHA+4N56aB3VFYxD6elFgf3xHzqc0w0GZyUi/Q9grsqs/DyJVSDc2iLGEfhGu1gq23EjE1VpJXxOGihsLYwp+vV5skJEOhsR+8ZiBD868hUM4tltJ/8zf6E8skeHNePzUNB6fdpFH7itbYKk+qUqFfh93W/afum1SO2QyCU9N6sKJi7H83/KjTB3VAUsLO2Z8MAFXPwkjx6SSlyvhtYXj8HOI45Ont1dcWK4cwQ+wbmsgk6fGFwv+kkydHsO0SW14dOLVCu3t3jmQG7cS+WXZIaY/2B2pgfygzCw5E54czitv3mbel6cRBMjMlPHe2825HWXDszPLr4YfEZVCTHw6v688zPOP9cfZSYVgXzYdbea0QVy6EoWFhXnjuqFxLwh+s5ffjJnGTZVFf5EoSI8zf9k0FKLy3Jh342meabuGVzxWohcFtkd355fLP1Cgf5aejpbEF+Sh0evRA1ZSKX6WKoKsVI3WS1AbbGRycnQ6EgvycVWaJmS2sdAYRH5JonJceenfF+hse4FQ20sk5jowa9/rPBC4j4eCdlVrLlGsfli9scV+Ed087enmac/5pCyWXIhhShvP4iKDqXlqUvM1NHOwNsna1cEU3n21To9SVvs0C2NSkeCHsp+bo1f8Ob5LwYPZ/ysOH/HjBtPT5zF/8ScM6XodN4csAzPVPVVtyVeX3w2d23jSqaU7y7aeZ9HmbvQasp633mlfbMPwkUl8/bkvP63vypPjjhmepALBD5CSZkmn9gUGx6ys9Ihi1V5vswBXnBxU/PD7PqY/2B0bVenvkPl/tOOp56PpPyC1+JitrZYvv7nKuFEdeWT8VeztSt93RVHki/k7+WPVEUYNbs+sqb0BDAp+AFdXe1xd7atkb0OkKXv5a4pOJ/D7Ty35e4svFhYi+fkSevaNZfbzF1AqTfO9UxPMgt+MmcZPtZ+47D3Upf4zU398GfEo/9fzfwzwPIlEEJFJ9Iz0PcRHXRcTmT8XlVRGPyc3Rrh5M8rNmzB7F7K1GtbGRbI27jarY2+zKT6KtXG3OZaeXN8vp06Y7OnP6YxUdibFoW/sFdSqQWP+uxVFePnw87wbNJ9ZvmvpbH+J4a6H+LHNhxyI6sjxpJbVnrOqusbWS28ywV+Sdi42jAhy5efTUay+HMvyi7H8cT6Ga6k5bLpunDDxmiAPtDdZOH+BVtdgRL/U37FCwf/vpThW7buBi11poff9yjD6Z60oc75E0NMzYx2LtnQ2uq01oaqCv/j8OozAkEolDOvZHUe3yQwfacXZMzdLjT/7UhRr/ykn978SwQ/QoXUS/x403MElPNwKZ8fcKtvqYG/F7Gl9WLruGFExqaXG9h31ZtiIst5eQYBxkxLZtMO/1PHMrDxGTPmBC5djObvnLf74blrh+eUI/sZOUxb8tfHyv/JMD1QWFmzeepo/N51m6/aTtAwWefLRvuh0955zxkzDYevWrQwaNAhHR0esra0JCQnhu+++Q6+v3jPR6dOneeedd+jbty/Ozs7I5XJcXV0ZNmwYGzZsqPDagoIC/ve//xEaGopKpcLGxoYuXbowf/78Su2IiYnhiSeewMfHB6VSia+vL7NmzSImpuIWu+vXry9+3ZaWljRv3pw5c+aQkZFRrdfdEKn1XfhuAWGOBKgbEgscUSnz8LYu+2XTxuEWWaI7nhZOKCR33h9rmYyOdo50tCv7cHslO4Ml0TcZ5OyBh4WlSW2vTwRB4D5XT5IK8lkVG8FDXgH1bZJJKPl3aVXQuHfoDyW0p6PqCl6WiaWOSwSRZ/2W893VKXRxuVLl+fSiiKQCUVMXIt8QjpZyngwpm3qy41YyV1KyaemkqjNb6iJvX63Vo2gAor8y7/7NuEyOXklg9si2WChKf2XGJdswkDiD17nqo7kV06/GdqVlFWCvqt33aXXFfhFerjbEJGTi5VY3Vesv33Khc7csQkKDWfjTVlq38UWhKExPk8lE7Bx0FKilKBX/dTKogtgvYlDvaL5Y0JkHp1ji759XfFyng/ffDuKVGUeqZatcLuXJqb1ZtfEkwcnZhHYo/JuVysBAswQAHBy0xCbcSbfLy1OzaNURls2fjoP9nUges+BvfNRG8J8+4YSdrcDjs6KLj0kkMGFiPJGRFuzc5s3QkVHGMLNWmL389x6ffvopb7zxBgCBgYGoVCrOnj3Lc889x65du9iwYYPB7jB3Ex4eXqrQYEBAAP7+/ty8eZPt27ezfft2pk2bxm+//VZmvqysLAYPHszRo0cRBIFWrVohl8s5ffo0J06cYNu2bWzYsAGZrOz95dKlS/Tu3ZvU1FTs7Oxo27Yt4eHh/Pzzz6xbt46DBw/SsmVZh9FTTz3Fjz/+CICvry9BQUFcuXKFzz77jNWrV3Po0KFG3RnB6E9cjdmj2JhI1djibVX+l42zRTo5uqqL95YqOyZ7BbA9KQZNNXfxGhs5Wi07k+Po5VizB+KGSFP+u7uYFkgn28sGxzwskslUVy/8XcSwp7+uvPrVpZObLUdi01l9KZZ1V+K5lV51z2R1MaVn/24KtHqUMgOJ1nVEZd59gKSMPHaejuLJEWUFP0AznxRiMLxxGC0LpnWzmkdQ3YzPJNC95qK7poIfIKSVBycvG97MMAXO9rnERBducAy+L5RjR0vn2GdlypDL/vvbrIbgh0IR9cvnu3j6sZZ8/EEge/9xZNkSD0YPC2FU/6uEdqj+eyQIAg8+0Jn0zFy277lYaJZTDuE3DLc6/HubI727xpGWnoter2fB4gM88XAvs+Bv5NQ2j3/TukCmT481ODZ1Wiyb1tW/U8Is+O89Dh8+zJtvvolEImH58uWEh4dz9uxZTp06hZubG5s2beKrr76q0lyiKOLh4cFnn31GbGwsN2/e5MSJEyQnJ/Pdd98hCAJ//PEH8+fPL3Pt888/z9GjR/H09OT06dNcvHiRM2fOcOPGDdq0acPmzZv55JNPylyn0+mYMGECqampjBs3jtjYWE6ePElMTAxjx44lJSWFSZMmlYkUWLx4MT/++CMymYwVK1Zw+/Ztjh8/TlxcHJMmTeLWrVs8/PDDNfulNhBM7mZpDGIkX6cgTWODvoq5fQ0Bb4sELqf7GxwTRYjOccVOVr1cUqkgMM7dj1+jbrA/JQGxCYa/70iKZXdyHGPdffGxrP9c6Zpw999UQ/27MhbOFhnEFzgZHMvXVd8TKiIW+/mLhH5DFPtFuFgpeLSdNxNbezK2hRuRmfmsvBTHuivxrL8az+rLhakqqy7HsupyHOuvxrPsguEHyfKoS7FfRH3m9Fcm9ouYt+Q4U/o3x1JpWLg899C/7LSbWua7Qy0qOGw3hqlDT9TYxtuJWfi72dTo2toIfgBblZKsnLq7r7QOSuL6JSWpqXL8/Fy5fCmSqKhCQXXimC3BXglIJGK1BX8Rfj7Z7Fj+J73aXOP8QRFJZhrrftrM5Aeu18rugb1b4ulux5I1R3lu+inmvBJMfn7pz/S/B+1JiRdo1yqVz37YwdRn/yAzKx+LEi0fm5rg33fAkWkPBjN8UGuenRrA2TM1+xw3ZIxRuC8vX4rKxrCotrXVkp9fvxsmZsF/b/Lhhx8iiiKPPfYYDz30UPHxDh06FIv9Tz/9FI2m8k5h3t7e3Lhxg9dee62Uh1wikfDMM88wa9YsABYuXFjqupSUFBYvXgzAV199RYcOd1K8/P39+eWXXwD44osvyMnJKXXt+vXruXTpEk5OTvz+++9YWRVuxlpbW7No0SKcnJw4d+4cGzduLHXd119/DcBjjz3Ggw8+WHxcpVKxcOFCXFxc2LNnDwcOHKj0dTdU6vyOYkig1FdKQEyeK9/emkK2zgpbWTYJBU4McfmXBz0rqRTcAFDJ8nCVJbM3rhP9PE6XGlt3qz+dbS/y2uXCwkdvB7cjIi+HyLwchrl68eyFYwxz9UInilhKpaSp1UzxLtxRtpXLmeUbzIHURDYmRAECKqkMnSiSp9chAK1UdjRX1U3YpzGJzMtBJZUzxMWzvk2pMgU6OasyRnAosQMWUjVavZQH8vcy3n9Pg/+MGouh3oeZdv0dRrnuQyYpLc7/TOjPcN9/qzWflbOIjUrE1q7hCv3yEAShTJX/iPRcVl+OY5C/M85WhffSJRdiiMnKx8um4oKVphD6pyMDWLB/CAmZdljINUzqfIjRHY4XirYSFGj0yOtY9FdV7Ov1ImdvpdC5uQu3E7No7evImn2dWLy9C4JOh0aUM7zHZWbff4CpU26wcMUn9MpYg6s+hkhZc47YjeGzF3diZ51fY1vz1TqD0QUVUVuxX598PHsrUyfcz7xPIpj5+DC++3YjgQGP8ePXHqz8cHmNBX8RggCDescwqHfF+ZzVpX1rb1ycbFi3ZQOPTVTwwLAe9BuUhruHmoP77BHVGn75YjcAbVt4cPz0LRb/l78PTU/wz53jT/qJaOa2/RGv4GSupXrzyZOP0X+aG9Nn1199koZIWM84tm1xZvbTZUP4t25xIaxn3UXbmDEDkJmZya5dhcWRZ86cWWZ8woQJzJ49m5SUFP755x+GDBlS4XwWFhU/gwwZMoQFCxZw7dq1UsePHj2KTqdDIpEwZsyYMteFhYXh5eVFTEwM27dvL9XSbv369QBMnDgRG5vSG442NjZMmDCBBQsWsGbNmuK5c3JyOHv2LADjx48vs56NjQ1Dhgxh2bJlrF69mt69e1f4uhoqDSLuqj42AhILHHjr6rO81/wH/KziAdCJEn6PGs3/RUzm+YDlJl3fGLwS8AdvXn6evTGhjPQ/iEYvY/3NfuQXyJnX7EdEQkjTqPk7KQ5nhRJ3pSVfhl9khk8z4gpy0Yl64vLVdLYv7UUVBIE+Tm7FPycW5KOQSIr72+9KikMpkeBnVXc5xrXlVm425zPTGOXmXd+mlMvdfwcavZQXDr7OeP9/eKb1GiSCSJ5WwU9Xx/Lx2em81fH3erK0brGW5zOtxVZev/oSz/otw98qjjydgg3xAzmd25ofO31W6RwlPfn66Jq37GuI+Ntb4W9fOqx4UisPDseks/d2KlPaenI4Jo2baXmoFFJGN3czKPb/PB2Ni42Sns1cEEURtVaHsoqhuZdi04lMzSM5ZyJ/X+zIK4OXcjHuNC4qZ05FPszs5U/w4+SfSwn/uizkV1WxX8TmY7dJzcpnxpBWALz1y0iExHQW9XsXlSIfjU7KyqsDmfLhNFa8vYih3a/x219duRZrR5vgJD4Y/nutBH9NaMyCHyCkZTy/zFnF97/04JO325CTa4etxSJWf+SJYwvDkT4NBQ83O2Y82INfV6xk+ffhXLnRnBu3Mpk09Datm4vo9VaAFeevxOLv61ycu1pS8OflSVi6wpPNm10RJDD0vmQemRyDtbWunl5V9Tl8xIHk43F81ePb4mPNHaP5te97PPjrZwy5X4mXl+FOCo0JY7XnG35/FA+NbsXgISk0C76TthUXp2T+fB9+X1G9zjTGxOzlvzc5ffo0arUaCwuLUrn4Rcjlcrp06cLu3bs5evRopaK/MvLzC78nLS1LpyOnpaUB4OLigkJhWA8Wif4jR46UEv1HjhTWaenZs6fB63r27MmCBQs4evRo8bH09PTi6GYvL8MbsUXHi+ZvjDQI0W+I8kKWjbUZsCR6FM8HLCsW/ABSQc9jvht47sLrpKjtcFI07EqNFlI1X7X6gvOZzdgZ3hkpOiY4bae5KvK/MyS4Ki140Muff5LjSdeoeTWoDfIqFN8oyd3t7QY6u7MuPrJRiX6BwpZ9DaVVYVVC8jdF9qGfxylG+h4sPmYpU/NCm5U8c/gVbmV5EGBzb3gCRvkdJMA2lt+uPEBCngMyQc9Iv4P8GPJZGe9/EeWF7ItQ3BavqaKQSujr68j/nYhg+cUYAu2tefT+1uy+ksBPtxO5307OwfAkolJzGdbWk6vxmdhbKUjOVrP6xG1Sc9REp+fx6uCW2FnduedqdXrORKVzIykTja7wCzIzV0OInwMFWmv+93cqrw97jSO38pncxY+bKbk4WH2JRBjNX+dCGd3xTri7WqtHVU7YvLGortgvItjTjqSMwtd9PcaFqJuW/Dzo/4rH5VIdj7TeQcopOzYebs/YXmeZ++huo9hcXUwl9l0drUhMzcHVse7SoHw9Mvj8uW3FPx+OsmbN0Ut0yvWhayf/OrOjJlhZKXhkfFdGPfIjY0d0wsvDnvx8CbHxtly6FkdSchaLVx/l+uF3gdKCPypayYjR3bBWafHzziUxScHePTasWh3KiiVncXdvHEL51x+ceal12RxbiSDyZPBKlv3yIK/NM26kRV1jLMEPoFDo+f6X/bz2Ynfc3bR06JDFlatWXLtmxeffHsLOvvLwaVNgFvz3LtevF6Y8+fr6GiyQB4WF/Xbv3l18bm1YvXo1UFag29kVdlxJTk5GrVYbFP5FVfivXr1TA0atVhMZGVlsZ3n2A0RERKDRaJDL5dja3olejomJMVjkz9B6jY0GK/rLw1ibAVdz/HkpcLHBscHOhzmQGsID7v9U2776oJ3tDdrZ3qjwnP7OtQuNLIkgCGRqNORoNbx37TwTPf0ItXNsMILaENZSWb3YV5t8+y1RPfku7EuDY5MD/2bpjaG83ene8PYDtHW4yVfdv63wnKrk5utFsQ4bktUvz3X2L+XVH9jSjR6BThy+mcLIdl7sv56Es0rJvzlqJnQurEIuiiIFGh16YNOZaKRSCZ18HLiemMXluExGtPdkdAdvLBUy9Hp9sdfyp/2DeXtUBmM7+RSv18FbQQdve/488y//29WP3sEFOForgaKcftMV8qup4M/O03DoUjydgpwBWLk7hGkttxg899HWW3lu5+uM7XW2xnbWhuoKflGEf477s2Z7K3LyFPQMiWLKiAuorMrepzq19ODEpViG9mxmLHOrh5s73d2ge+dAjp+JYNm6Y0wZ17V+bKkErVbHqo0nUShkbPxjNo4OhjdKpk4MQyKRlBL8Oh0MHx3GJx9cYsSwJASh8H1a96c7v/2m4KVXW7J8SeWfL1GseitSUxGXoMDPz3AIf6BdDNuiGt0jZymMKfiL8PDK5Y/Vuwm/bsvNcBs6huXQum260depKmbB37hITk7G27v6EawvvfQSL730UpnjRR52BweHcq8tGis6t6bs2LGDP//8E4BXX3211Fjnzp0RBAGdTsfGjRuZMGFCqfFjx44Vi/CSdmRkZBQX6CvvNRQd1+v1ZGZm4uTkhI2NDS1btuTKlSusX7+egQMHlromOzubnTt3AoVdBXQ6HVJp/RUirimN+w5cgupuBgiI5X5ByiRa8rXm1oMV0cHWgfkR14jJz0UukbAs5hbjPHyxlDbMj5RG1JtM6JmqkJ5WL8NKZjhE2E6Rzb8J7U2ybmOjukX4GsLDcV1QXr6+pULGgJaF6TvD2rqz8WwMEzvfEeqCIBTnkj/Y1R+ANSejCHZRMaSVO1LpnUihki12EjLt6OwXbnDNBzra8dO+Tuy5ugmtTo8oithYyGlew0J1FVFTsQ+FkQyfrznN3IdCUcgLv9CzcpQ4ORuO+rJT5pCnlhscqw06nR5pBTkoNfHu63QC0+fej699Aq+M2IK9KpftJ9tw/9OT+Pm9LTTzLd133tnBipT0vHJmMzF35e936ehPQYGWK9fjaRlsvA1sY5CYnMWqjSeYOiEMO9uKO+bcLfgB1q73YOL4WEYOvyMoBQHGj4nn7FkbDh60IzVVjqOjYa/vn5vc+fk3P6RSkYICCc2b5fD2G9dwc6vb6IACuYzmrfM5nRBMiHtZD+CJpNa07Nd4i86aQvCXJCg4k6DgTJOuYaZ+0erhZqbxUtp0YqEojourfsRnZqbhz1pRuH15IfUASmXhxn1eXs2/HyIjI5kyZQpQ2CavT58+pcbd3d0ZM2YM69ev54UXXsDX15du3boBcO3aNR599NHic0vaUWR/Ra+hyP67r33qqad47rnn+PnnnwkNDWXGjBlA4e/q0UcfJTExsdR1KlXjiXYuomEqNCNSniDzvZ3AtWzfEqHwd9iW1JuO5bQIM1NIqL0ToSVqAbRS2fJXQgy2Mjn9ndyQVTOFwNSczkhjYC2iHeqjQn6wbST/Jrajp9v5MmO7YzojR0O6WoW9IrvObatPaltpX4/YoKNSakt1ivNJJZJSnvnymBBa+TntvCI5fLM5oX43y4xdifck0EXC+JDCeZKz8tl3PZHF/95ieDt3IlLyUMqktHBX4V2Ol7QyaiP2i5AIApZKGbGpOfj/16M+rN1tdh/rTEunssW2DkS1J6R5dJnjtSU6OQdvZ8O/h5qG8/+wogu9m1/isfsOFR+b3O84fdte44lPHmXrjytqNK/RKadgX69uzVi49CA3I5O5r1/rUptP9UV6Ri7rtpzmmRn9Kr2nlFewb/1GD/7vfxcNjk19OJZ9BxxJSFQaFP3f/+jPjXBr1iw7UZz7f+KkHQ9NC2HVkpO4uNTN91ZRW77HX0xizoMzWer6Zqm0q2y1Bb+Fj2fN72XvDY0BUwv+hoLZy9/4kEql5eagV0TJcPaSFBXeU6vLv3cUFBRuKN6dh19VUlNTGTZsGMnJyfTr16/c9n8//vgjFy9e5OrVq4SFheHv749CoeDGjRvIZDImTpzI6tWrS4nvkoUDy3sNRfbf/Rqefvpp9u3bx7p165g5cyavv/46np6eXL16lYKCAh555BGWLFmCIAjFHQEaG/X/rVlPdHa5zLvXnyJDU/rBamtiT5ytMzmd17bJt0KrCQU6ncFWfgqJlHEevnS1d2JlbAQp6oaTg6jV60nTFGBRTiiOoRZ4DaEl3n1eh/ng9Ewy7upDfz3TmwOxHWlhHUGGuvHtNNYEY7bWE0UaTXi/KEK+Vk5l3TOLWu7Vddu9koxsf5KNZ7qSkGlX6rhOL/D+5gnM6rOj+JizjQXjQnx5tEcg1xOy6ervSAt3G/48E0NmXvXyWKX+jkYR/AC5BVqSMvKwLVHH4P7u59ka1ZuIdLdS52YWWPHlmYeZdX/1ukdUhZvxmQS4l34oEzxda5W/v3lfMx4ddLjMcS/nDFp5xnLmSj170N3cK63Q//jDvejcwY/vf9tLdk7dFkq8G7Vay+I1R3ni4V41FvxQ6NW3sDBcrM9CqSMrS4G3V1mPWmamjK1/u/H1FxdLFfvrHJrBvLeu8c33hvNZjU1BiWKfQc1yefAVDeN2fsWm8F5cSvZj+dUhTNjzFe98F4+tbeMTlWbBb6Yh4+zsTHR0dLX/MxTaD1UL3a9KCkB5ZGdnM3z4cC5dukRoaCibNm0q5XkviaurK0ePHmXu3Lm0atWK+Ph4EhMTGTlyJEePHiU4OBgojAoows7OrjgCsbzXUHRcIpGU2vyQSCSsXr2ahQsXEhYWRn5+Pjdu3CAkJIS1a9cyderUYrskDcyxWVUavaf/ZpYny28OJTzbG3eLZB4M2EEHx4rz2wF0SLk/cD9zrr+ImzwFZ0UaF7KDae1wi8+6fc/MA28DVffw1lfbwbrm4xsXiMrPYbSbD8NcvVDc9cG3kyuY7BXAjqQ4LKVS+jq5lTOT6bH3UHMqOZ3jyek80sELO0XD2cTJ1Sq5numDnTwH/3KK8bV3uoFEr2XG3rl0cb2En008p5ObE5/txEfNv+Wt68/jbplSx5bXDcYQ9+Uh0vBFf4FWzv+OTeRgdDsclNmkFajo6XWBV7qtQim7I4rrU+TfjVyq4/8e/JVHfnuOUe1P0C3gOrdTnfnjcH8e7raP9t5lo6qcbZSMLhFp0MLNFo2uau+9sYR+SVSWcr58rAfL/rnOIwObAyCT6vn9jWXM/t9LtFDdpJPTFW5lebEvLpQPZ23B08n4BV/jUnPp176wtaixCvUpZVpkUsO/29Y+0UTE2tOxZXyp4452FqRm5OFoVzOPTpWpRjs+V2cbnpzam/8t2M2bzw81oVGG0Wp1fPnjLuxsLZk5uUelEQeVteQbPDCZtRs8mPlo2UiSdX+64+aej41N2U2Bv3e6MO6BOIOpSn16pfDJF8EVvxAjUGCgu8e4B5PpNziDVYtHceKWlOCuGjZMudGouhAUYRb8Zu41ioR0ZGQkWq3WYDG/mzdvljq3qhQUFDB69GiOHj1K69at2b59e5mWendjZ2fHBx98wAcffFBmbM6cOQCEhoYWH1MoFPj6+hIREcHNmzfp3r17ufb7+/sjl5dOz5NIJDz22GM89thjZa779NNPy6zX2GjUov/P233YEt+H13usoKPbDW6kefHN0fEcSIjjmVZrKrzW3yaOwwntWDHwHSKz3chQq3jRZjXW8nyyNZYIQiWutbuoiTe4MW4UvNeiA39EhWMhkbIw8jpP+7coc45EEBjq6kl4ThYrYyIY6+GDQlK7ghc19bafT8vk8RZ+DaZau1Yv4YvLU7mc24wuAeEkJtlx87wLr7T4g05OpfuUWkg19PE8izcxeFkkk5RjzySnbQT5RrM5sTehLldQSiv3ijaGUHZTivy7Kczpb7i/E70oMHPra4xrsY83ui8rLuz1140eTN8yh1XPf1+m531DoZVHDFuf/YjN50PZdaU9rjYZLJ3xLfZWuZVfDEgkArpKwhpMIfZLsvdcLCHNnEsd83VNY8tnP3Hyui9Xotzp7ZTK3HbzTfo+CIJg1Mr8BVoZGq0Euazs39rFSG+mdb9S5nhIKw9OXY5jUJiJvMbVEPslUSrl6EWRmxFJBPq7GNmoinn6jVWEtPMhwNcJayvDHqoiKhP8AA9NjGHEmG707Z1Ks6Cc4uMXL9nw48IAjuw7YPC6vHwpNirDYk0QQGbgfTYmhgR/EU5OGp56Mdak65sas+A3cy/SqVMn5HI5+fn5nDp1iq5dSxdP1Wg0HD9+HKA4x74qaLVaJk6cyJ49ewgMDGTnzp04OztXfmE5pKamsnfvXgBGjhxZaqxbt25ERERw6NCh4roBJTl06FC17QdYt26dwfUaE41W9Cfl2bM+eiDrxs9D+l/uWHPHaOYP+4antz3PmZTmdLxLRJWku8t5vrnwEEl59viqEoA7FWd/vvoA4/z3mPolmCxsvDqbCVq9nhcunaCPoxsTPf2qdM0UrwBSNAW4lBOSU/S6QlHSSuvGips3mRHsWy9CK9hOxfXMHFrYNYww+Hnnn6RP55t8Gba++Fh6rhVTFjzLO/L5NLMt3c7o5fbLef3oMxzLFLjP6V/iClxYFDMauULP592+q9KahtIxGgJ1KfRLohdFKqiRVu/8c7sTbZwjGNPiTqtGQYD7g//lSqofOy61Y2jbc/VoYcXIpHoe6HicBzoer/a1UkFApzf8eTW12C/C382Gf87F0Mav7HqhwZGEBpeNWDA69rZGb8U3qt91Fu3qweNDD5Y6Hp1sz5U4Tzq02FfmGjcnFbuP3jKqHXcmr106wauzB/H6h3/y+dtjUCjq7lGmbUsPXn53HYkXPi/3nKqI/SKsrHQs+fUUz7/SFqVST1BQDmfP2lKglrB/5yEcHAyLst49U3nvo+ZMHF9WXEfctsSpnMJ/xqAiwd8UMAt+M/cqtra2DBo0iG3btvHrr7+WEf1r1qwprnjfr1+/Ks0piiKPPvoomzZtwtPTk127duHp6VkrO+fNm0dBQQEDBw6kVatWpcbGjh3LqlWrWL16NZ999lmpaIKsrCzWrCl0Co8fP77K661bt44TJ07g6OjI5MmTa2V7fdI4kxKAtbcHMLvzxmLBX5KXwtawPOK+Cq8XBPgw9Eee/HcOq28NJC7XifOpQbx67FmyNNaM8jG8u94YqEqOetF/zl5avuzZkhA/i2pd08JfyoCWNpXmv1vJpIz2dWdNRP3s+re2tyEqu2peRlMTm+tMlsyeyWGlc4DtrXL53+Ql/Bxe9gYkl+j4qvu3PNdxDdEST2IkHrzQaTVfdf+23P70DZGSOfnGys2vKSI0mMgPQ2y83ovJbXYZHJvcahcbTjbMtmXGQCopK/qNmbNfFXxdVeRUs66Asaht3n5FPPXgCQ7daMWbf4zhRqwLyRnWLNnTjWlfz+S7N7eXe53R9wyrkLtfFZRKOa/MHsQvyw/V2cZmekYuN24l0a9HMFZW5XQGqobgL8LbO591K0/w6QeXGTY4kR//7zx//3UUN7fyHQMB/rlIJLDt79Kfl/x8CS++2pYXnzXcSaO2mAV/08As+M2Ux1tvvYUgCPzyyy+sWHGnwOvZs2eLawG89tprparjf/PNN/j7+/Pggw+Wme/5559n2bJlODs7s2vXLgICAqpkx/nz5/nzzz/Rau98VrOzs5kzZw7ff/89VlZW/PDDD2WuGzduHC1btiQlJYXp06eTm1uoAXJycpg+fTopKSm0bduWBx54oNR1eXl5LFiwgIyMOyl7Op2OpUuXMm3aNAC+/fZb7OxK1y1qTFT57n33Q3pmTP3uF8TlOzPB8ZDBsUD7WBLzKn9IbG4XxZK+8/jzdl++vvgQtvJcHg3eTBsHE3k2GijuVha4W1lUfmINcbZQ4mlpQWR2Lr6quq14eTs7F0uZFLVOj6Keqz0fTOjA/aEnDY61dI8lQVN+qFMz25gyUQANmfoU9ZWhF8UGndOvlltiITNcCNNSnk+B1ngt4nR6gb8vdmR3eCdkEh2j2xyhe+DVemtpWCT661Lk382WY7cZ07NuiqAVcbfQN8XvXyoVWfTRRvaf9OWb7cPJzpXTKzSKv+avxNqyjjY5jCD2S+Lt6cDgPq1YvOYojvZWDBvQBpnM+L2TtVodUqmEPYeuIgKrf37c4Hk1Efwl8fXNw9e36m2w5n97jhdebctvf/jSt3cySclKDh125LWXbtCxg/Hbv5kFf9PALPjNVETPnj354IMPmDt3LpMnT2bu3LmoVCouXLiAXq9nxIgRvPzyy6WuSU9P5/bt2/j7+5c6fvjwYb77rjAq1dLSkscfN3zvBDh4sHQUWnh4OGPGjMHS0pKAgAAUCgVXrlwhPz8fe3t71q9fT4sWZVOMpVIpa9asoU+fPqxbt45du3bRrFkzbty4QUZGBo6OjqxatapMMb6CggJmz57Ns88+i6+vL46Ojty8eZPU1FSkUilffPEFDz/8cHV+lQ2OGt/BDT3U1+VGQIB1LGcTggi0L1sE7UJyAD7W8QauKouVrIDJQTuYHLSj8pPNcP/OI/zcs2O1Nwm6uzqyNiKmzkV/B0c7zqRksC06AblEwnCf+issKBN0qLXl/970+oYsRcunIQt8g4imEVW1oWRBvgGJF9kc3oOZ7beWOW9zeHcGtDLc3qu6pOVaM3Xpi/TrGcPTT19FrZGybGN/5h8awW+Tv0Uhq/vCW1IPGzZfS8Qlq+4qs4t3fR4u3k4lrGXd3SfuFvzZuWpU5XiRa72WAH07R9K3c9VTFGysFWRmF2Crqjh/vUKMLPZLEhzoSnCgK7Hx6azaeJIp44wbCXMtPIG/915CrdERFZPK53PHYGFReuOttmK/plhY6Fnw3TkSEpScOWdL55AM5r11FWMXlm7qYh/Mgt+MmZK89dZbdOjQga+//pqTJ08SHx9Pu3btmD59Os888wzScrph3U3J9nhRUVFERZUtWFoeHTp0YNasWRw4cICoqCi0Wi1+fn6MHDmSV155pVTV/rtp27YtZ8+e5f3332fbtm2cP38eFxcXJk6cyDvvvIO3t3eZa6ysrJgzZw579uwhPDyc6OhoXF1dGTFiBC+88AIhISFVtr2hYtQ7eV1uBIz1+4cnjrzF0MBjWMrvhMDpRYHPDj3E882Xm2Tde53X2wfz/eWbTA/2I8i26v20pRIBWT21uOjoZEdHJzvW3qrfwkL9PE7y2vGXeaR72dSRExFBBFvfrgerqk+jE/l3oUdsEOH95VXeT8q04dcT/enjfZZgxzvRHeFpnqy6NphNQ8vPJa4OL/05k/dfOUSXtnc2Tj95OZHV21vx6a7xvDN0lVHWqQpFnn3hcjyjwgLKtKurSwo0Ot5fdoL3H+li0l7w5YXx34xOI8DL3mTrVpfQVh4cORfNkB5BNZvAhIK/JJ7u9mRkVd1LXhVEUWTB4gMM7N2CEYPaGTynvgR/SdzcCrhvsGlEq1nwmzFzbzJy5MgqF6179913effdd8sc79evX43TrwICAliwYEGNrgXw8fFh4cKFVT5foVDwySef1Hi9xoDJ7+am2giwU+TwbPOVjFv7PrNCN9HJ7QY30jz54cQDDHM/RAu7Oii2dA/S082JpHw1b5+6zGedW+NTDc99Up7hkOW64HZ2LrJ6rt7mqMyijcU1Pt78AK8N21TcPutmsiuvr3qQbzsaR8wZk8Yu8A0hivXXsq+yFnu3kl04dD6IFb3fZO7uJ7GzyqOl822uJvtyNimIDyasxVJR+1DspCwbCqTWpQR/ERPuu8zPKx5CpxeQmrhLgKEw/vrej0nJzCeslZvJBH9lOfs3o9NMVy2/Bni52bL5wPXqX1hHYr8kA3q24N/j4fToUsMNCuDS1TjCRnxO0sXPWbjsEM8/1h8/HyeD5zYEwW9KzIK/aWH28psxc29TL3d0Y20E9HI/R1vHm6yLGMCuq51wt0zh4w4/4GHVNHuXNxQe8PNgtK97tavxq/V65p68zHudWiI1kQBX6/SkqdWkFWhIKVATkZ2LpVRCaoGG6cFV605gSl5ouZzlEUMZ+sUcvBzTyMizwkqfw5ftv6rXz21TFPflIVJ3or8ykX83iw/2YXrARjysUlnY42OiclyJznHlvmYHUQfK+eP0eIa3O11ruyJSXGkbbPhhVxDA0zWbrHzLKrfaqw71ma9fFdRaHdei01GH6FDIjZcfXtUCfbn5GpOF99cUFwcrElNzcHWsQnRXPYj9Ilo0c+O3Ff/WSvRLpRL6hDVj8ZqjTJ3QDVsbyzLnNHWxD2bB39QwC34zZsw0mLt6eaKjss0Ae0U2M5tvMoVJZiqgJu33gmytWX4zGkuphLc6li2+URJRFMnR6kgrUJOq1pBWoCFDrUEvisWircgHWdISuVSCo0KOg1KBv8qK6Jw8xvo3nAc0QYApAduZ7L+dDI0KC2kBFtK6qxR+L4n78ijM4Tad7K+u0C9JQoYdPu532of6WCfiY50IgEYvJf5mzecuiad9KjfOOJQ7nphqjUpp3Lz6qoj9wiiMO+9NSqY1v+3sycHLwcilOh4IO8XEXidRyE1Xb+B8RCr+brbIZcbx9JuqGn9dMjgskA17rjB1VIeKT6xHwQ81/7s+ceY2oR18yc1T89OSA0wZ15UHH+hscL6KBP+Vqyq+/saHmCgFOr2E3n3SeXp2FHZ2jUtwmQV/08Is+M2YMQMNSPSXR0Uipb47CJipHiN83AlxsufHy7dYHxFbxtt6dyCxSi7DQSHHUanAx9oSO7m8WhECmyPjGejpUmu7TYEgFG5YmYqSfzeWmaLRxL5WL+Fyih9yiZYWjlGVhmJnqy3YFdGZHI0F3b0uGiy8WdfoRRFjBprURuTfTWvvaE4nNsfTKrnM2KmUlrTxijbKOl72aeSkC4RHORDkk1ZqbO9xP1o4Rhann9SG6nr1S+b+XY124+kFD/Pio0d4+am15BXIWbK5HWM/ns2q13/G2qL8dma1oX97LxbvulrrjaGmIPaLsLFWYmUh52Z0GoHeBjaL6lnsl6R5oBsLlx5k+MA2eHncsfXUuUhaBbuj1uhISMpk98GrPDm1N9GxaSxbf5wVf56gR+dAXpo1EG/Psq+xMu/+vgOOfPGJJ589s5XWQUno9QJbDwYzbnw/Vq86h6Nj/bSBrA73gtgHs+A303TQarWcOnWqzHEPDw88PDzqwSIzDZlGfYevaXSAmfrD1UJJS3sbxvh5mMzbmpxfwD9xySQVFJAbp8NBIaenmxNWJmjlVJ/Utdd+wYkRrDnXm2bS62iQEyn681z3jdzf4rDB83+7MIK/ovsypu957G3y+PLwDLQZWr7p+w1W8vqr7yBCrQv5GVPol+Th7gcZ/+0L9Hc/iVWJtn1qnYwfrk9i/mOLjLbWl/f/ysw3n+fxh84ydtAV1BopS/9qy6btgSyf+mWN561t+H7RW/PyrxNZ9vkG3J0LN8dUVmpmTzyJn0cGn6wezodT/6zVOuWhspQjkQjkFWixVFb/K7Ipif2SjB/cmt/+PF1a9DcgsV9E77Bm9OwayLcL/+HFWQOLjyenZvPK++vJL9Bw9GQEl67FkZGZR3JqNlMndKNTO59y56xM8Ov18P57AWz88vfi9ocSicjIPtewt8nnw4978dWXV43zAk2EWfA3PcyCv2GhEeF6pvGee3V6SElJITQ0tMzYvHnzDBbWM3Nv0yTv8pWJIfOmQP2wIyaRwZ4uiGV8+sZlX3wK4/w9i4VdaoGaPbFJ5Ol0WEil9HRzxFHZsHJmy6OhhOPPPz6Scxeded/2rWJRphFl/N+h57GUFzA4sPRO8/ZbXbmgb8fWzxYUnz+xzyl2nmrBy+uf5ccBNReVtUUUxWrn9JtK5N+NvVUu88atY9q6D5jgvYM2duHcyPJhReQwnh++HT+nshEANcXHMYV10z9m+Yk+PLRhJDKJjlFtjrBuxqoateszZq7+lSg3AnwzigV/SYb1usHXi7oZbS1DTOkfzA9/XeChfs3wclZV6RpjiH29XjRp6olRaYCCvwiJRELHtt5cvZFAi2aF7Rd7d2vGF/N3orJS8tMXk/l1+SH+OXiVv1c9V+48Vc3dP3bcge5tbxUL/pL06hTJB7/Vbava6nIvCP6mLvZzcgp4ZNzXrNv2OoIgmAX/PYKTkxPbtm0rc9zs5TdjiKZ/pzeAeVOgfhjiVfhQ3NfdmT9vx3G/r4fRC/ol5xeQr9OV8uQ6KhWM9C18QM3V6vg3IYU0tQaJINDV2b5aHQiMTUMR9RWh0UlZd75XKcEPIBe0PGXzA1/9O6eM6P/t8v0sfX95mfD/wSFX+X1zN2KznPC0qZ/ChXqx8grxdSXyDdG7+VX+eukL1p7oxo74Afh4p7J27DfYWRq3HRmAjUU+s3rtYFavHTW63thF+Yq2A2NS7Gnmm2bwHEEAa2sNWp3EKCkIhrCxUjB7ZBveW3aCz2d2L/c8Y3v145Ky8HSp2iZDfeBkZ8Xua+kM7N2yvk2plH49mrNw6aFi0W9pqaBn1yAuX4tn256LODmqeHJan3Kvr06xvrR0OR5OqeWOK+UNM7T/XhD70LQFvyiKtAt6gYS4DIYM70BCnunqnZhpeMhksibRP95M3XBv3PGrSVWFmHlzoGZ4W1uiE0VW3Izm4Wblh1TWBEelggKdvtCba0DZWcmkDPpv80Gr13M8OZ3DSYXiorW9DW3sbYziaavoM5SltuSrIxM4FtMSpVSDVpQypd0uJrbaW+/tygxxITmA5rIrBm2zlOQj0+STrbZApbhT+E2USbG1MlwIrn/oDU7HBNef6EcsE95fnyLfENbKAqb13F/fZhjElNX3i4osBnsmsuSgYUGm0wnk5MhNJviL2HkqmpfGGC5cZ6oQ/psxaQR4lV9gsT7JtXHkfFwOnV0bh6gQBAFlifQMvV7PxStxtG/txVOP9sHRwbrahfrKo33bTJb+GsBTE4+WGcvNk6MV5dWe09SYBX/TQBAEHpnel0dm9EXiYFff5pgxY6YBc2/c9U1Edby05g2C0viprDivzCRXqzNqrr1EEHC1UJKt1WFTyUONTCKhu6sj3SncLb+cns3aiFgAvKws6OrigExy530zhlc+V6Nkyoa5zAzawAu9lyIIkKdV8P2VCdxIncJbvZbVeg1jIxX06MXy3yM9EqRC6d+NWlP++UlpKvyVOUazr7qIIigC7RtPGHUDoC7b7AkC+LikUZALZ6640rFlYqnxhes6MbLLWZPasHjXFfxcbHF3LB0FZOp8/ZjELHp0MO5GaK35L4x/44bjvDRrEFYNrJ1gReTkFnDizG1aBruxdvNp9Ho90yaG4eRoOJqipq34vLzyUagU7DvhR9/Ot4uPiyJ88Gt/Hp1e/wVMi7hXxD40LcEvirBmeQCb1vgjQUSPwP0TIpgw+Ravvz3WHM5vxoyZSrl37v71TE0FY1PeLAi2teZaRjYdnYy7O+1tbcmV9Cy6uBj2mJX3XoR5WxNGYR/qyIw8dsbGodWLOFjI6OvjiDH+XBafH8JYn13097gTDm8pU/Nq22XMOvxGvYa9l0dbl1vc0D+BTiwr7jN1NsgtBCzlhZXU0/I1RGfl4yrbw+JdSjoGxZY6X62VsvGQnoF9jnAusWp/E1WtASFWcJrM26b439FS07bsqw9i0h04G+WPg1UO3QKuI5HUvm5GXQr9khS9j9/NWs4j/5tJv25R3N//Gtm5ChZvaocmV8f82ctNuL6ITg8dmzkVH6ur4nx6vYhU2kDu+Xfl7Gu1+kYl+AGeeLgX4RFJrPnrNMfPRLD21yeM5t2/m+/+7wqPPzGA1XtSGdH9Epk5SlbtCqF7nxwmTYio0hyiCCdO2hNx25LAgFxCOmUYNfrrXhH8TUnsQ+HnYs5zXWnukc66+X9jZaUlN1fG94vaMue5rrzw6b8NMkrQjBkzDYsqfwPIA+3R3Ew3oSlmDGGqnO+GsJnQws6GXTGJrL4Vw8SAsg9dJV+7Vi/heFxL8rRKQtyuYW9h2FOcmqdhydkI+vg4YutV880EXztLfO0si+fccSuZXK0eC6mEPr6OuNTw4XdHeGd+7vaRwbHxvrv481pPngrdVGO7TYFEEJnVdSs/HHuGWaoFKCWFAj9Lp+KbrJd4f9id6IRD0WlYyqRMb7ONN9fO5vExR+jWIgJBgLhUW75YMZCHm+9CIRWhyuX0hCo/0AgIyHxsKjxnXIh3Fddt+OQUKHlh7QzUggU924dzMsaWd7c/yOsD1zOg5YVqz1dfQr+I9gGO/LHzKtOHtMTZDrbM+46/T7Zm0cqWKOUaHuu7mw6BMSZbXxRFFmy5yICO3tgHNzCPe11hoEBfekZuw9mMqAYpaTkE+rmwbP1xunbyLzNuDLFfhEqlY8Xyc1y4aMO+/W2xtNPzy+/XcXauWmvJK1dVPPFia7xbpuDeLJ21B1xIeKcFv3x7kWZBtY+MMgt+0yGKEB1pjUYrwc8/G6nUuMWKTxx1wUaq5rWnzhQfs7LS8tpTZ3h+Xg/OnXChQ5emtdFhxowZ41OtbwFDea/mjYDGSUMpIDfWy5ljseksi49gYit3nCzLiuk/r/Xi5zMj6e19HhtlLgtOjSbYMYr3ev+OTFL6dThaypncxpMPD93AUi7lgeaupUL0a4KjpZwxLQofhPM0OvZFpZKSp0EqCIR52uFvX71CgAqp4TA8G3kuN/MtamWrqZjYZj9W8gI+PfI2Kn0GWlEGSjnv3becrp53WlEN9HPi9/PRzO7kyLpRy5h/ahyr/56MXKbDTpbJvI5rCXG/CRinWFlDy8Wva55c+SSPjT7CgI7Xi4/lFch56KPpuNpm0NYzqtI56lvol8TOWskTw1vz89ZLPDmiDQq5lGFdLjKsy0WTr330SgKXo9IYM6YLHi4Vbxw1SSqoxr/9n0uMH9mpDo0xDk+9vgJ7eyvatfRi2sSwUl5+Ywr+krRtk0XbNlnVuiYzU8a0p9vy7Df7cHC9UwslOd6Sh2f1Yc+m41hZ1ayWwr0i9qF+BP8/u9z57uu2ePpmolDqCb/iwKTJN5k8Ndxoa2xY6c9LDxtOaXrqkUt8vKi9WfSbMWOmUmr9bWDeCLh3KNDKWXmpP5uudEenl9LBPZxZoZtrHY6eq9XhZaMkX1t2I2J/ZHv+utGdjePeQi4tfOh5JnQDyy8O5J39M/i43y9lrunv50RPbwembT7HpusJDPZ3pq2rDZ3cbGtlJ4ClXMrQQBcAdHqRo7Hp/BuTDkBrZxUdXCsuBBjkEMvZ1GZ0cLxRZmxPfBceaH+k1jbWhLjsAraGJ2KjkCEIZUPlC/3yfzKzy5/kaCyQCnqUMjW3s+D25TvnCQLkqHV89G84PbwdeLvbIqPZ2NAEfmKWLdsvhqDRSenX/AJBLgl1uv7lOC/s7DSlBD+ApVLDF7M28NniEfz00AKD1zYkoX83FgoZ04e0ZMO/t5jUt1mdrKl3c+bSsRhmVFDNvS6ol7STKrTeE0URiZE7rZiSm7eT+XPbWV6ePYjrt5KYNjGseMxUYr82LFruRf+HrpQS/ADO7nn0HHudpas8eWJ65Rt4d2MW/Kbl0H5Xfvu1OV8t3omFZeHziU4n8O37ndH82oxpM8t+z9eEzAwFrs65BsdcnPLIzmpcaTdmzJipH0zyjVDew3lNNgNEEc4lBZKWb0NrpwhcrTNqZ5yR0YsCf4X3ZE3EYAr0Sjwsknis5Qbau96sb9OMSo5ayeT1c/n/9s47LKqj7cP3NnrvXUAQULBj791o7L0bNcaY3ntM74l5kxhjid0Ya+y9i10URURFQBGk9w67+/3BB4ossAu7FD33de2VeObMzLPAnp3fzFN6mZzjmya/oC8u5GJGc57b9jbfDFhGG4eaf7lJRCJOxqQxzNu+QtsfwSP5c+DPZYK/lEktDjP+v09JzTPFyrDiqYqeREzfJtbkFstBVBJrvvVmPMO97cuVCSxWKIjNKqDJ/7vya2S3WEQXF0u6uFiiVCoJS85mw42ShE1OJgZ0dbGo4GXwYvvtvLr3JRZ3/gYT2cMSbCGpTbmd40ZHp781tkMbpOQV0tHJAn8tnnBeTcxi750kBje11bhvQxP4j6JUwuf7xhOW7sWYZ8Kx1Jfz7YGpiPNy+W30XzWqcV8Tgu74MrhTmMo2b+ckErIf5rRoyCJfFaZGeuQX6f7nWBqrH3Y7gfbNnXQ+X3Uoq0pMoW3UEPuldGzrwfEztxtFqT6AJi5W3IpMICkli28+HAE0TLFfyvHTloz/5IbKtra94tj9S6BGol8Q+3XD7wtb8PmiY2WCH0AiUfL6ggvMGzOISdPuIJPV/jPdJjCZgyddGPdsxXXlwZMutGiXqKKXgICAQHnq9JtBU6+Ac3F+fBE0jZa2d3A0SWH5laGYG2Tzfe/FGMkKdGeomiiUIl489ja+gUUsf+MoFmb5hEfZ8OkvzzMkYz9jvY/Wt4la46cz4xhtuY9e1pfKrgVahNHM+AfePfwWuye9X+NEMt1drdgQpjq7cbFColLUA/R2u8yFBz4M9Lyosl2uVDK/bZMykZ+YU8Da63H4WhvT0ckCgPT8YqbvuspUfyf6u9uUxfFrikgkooWtKS3+XzTfz8xn680EihVKLP4/EaCxnhQPi3je776eWSc+pp3VDZyMErmU0pwisYxlQ3+st2Q8Sko2X7RJSztTHmTncyctl6aWlYdANGSBr4q/z/bD0MWYLV9sKbs2sk842w758MGuafw4YkWd2GEgKyQzR/XPVaEQIRfLGp3Yf5TCYt2IflVJ+S5cj2PaUNXl+Z44NBD7pXg2seH4mdvV39hA2LjjEmOGtmXP4dAGLfZLMTGSk52hh7FZUYW27Aw9TI3Vz8wuCP66IS9PgliqwFTF70wkgoB2iYRds6RV29RazzV2ciQzx/aiT5c4bKwfCf9IMeCP1S34Ye3hWs8hICDw5FPv3w6VLfhvXDLim9OTWT/sC8z0S92atnHkbhvmH3iNFUO+qzMbK2N7RDeadyzk3ecfumT7eiSz/pftPPPcOPq7nq804Vxj40xMc6b7bKpw3VyWg49BJFcSvGp12t/FxZKbKTn4WBuXu16sqLz0W1aRIYZS1UmSsguLcTIxKHeqb2esz/QAZ87GprPq2n0MpBKScwtZNLAF3pZGnLyfxqHoFKb6OyGrZdIqFzMDxpk5AiVeBoeiU8gpkqMvEdPDrZA9E8M4/8CP5Fxznmm5FneLunUNfxylJnn1NGCgpy2rrsUiFkGztvV/klpblErYFNKdfX//W6FtZL+brNg8low8Q8wN81T01i5DAoJ5bv0rTO5zocJm0YFgP7q10I5raX3RtbkDi3aG8uKz/loZr7IM/PtPR+DnYYNUWv+J6nTq3l8Dsf8ojcm9PzE5m8Pn7vHtFzPq2xS1mDY+jhX/ejPxrSsV2o7+680r46sv+SeI/bqnKscchVKkte9UM/MiXv3qDKPm9ad3pzhaNkvj6i1Ljp514vVvzmKiYuNBQEBA4HHqf5VTCYvCx/Flz2WPCP4S+jS5jKleHmHJTerJsodsjh7ACxMvV7gukSiZMT6U/+7Ub3yoNpFRXOkptJNeIgk5tTtRnNzCiYi0HE7cK78r7mKaRHhKxSzacoWYY3fb0NlZdYKvYoUSmUS1wZ2cLZge4MJ4P0fmt2tCcxsTZBIxfZpY09fdmrNx6bV6L49jaSBjeDN7JrVwYoiXLcHxGfwTFkdU+hH8bI7Uu+AHUCiVaGtNL/O0KPeaPbwFt6Sw+kwUydn176FTG7ILDLC1zkMqVZ0Is0PLOG7G183JoqVRDn3a3ebtZaPJyX8Y03nqelN+2tKfF4ceV2ucsHsO/Lm9K6sPdiAtS7OklLqkuZsVejIJCWmqY1nVQeRkV/aqDLFIhLNd7fN9NEjsHR6+aolc3jCSv1aFUqnk2OlbpOaJaNu6Kba22i0Hqyv69EqhKMmMA+u9KS4qeRAXFYrZu9oHWa4RnTulVdq3QCYVBH89YGgoB4WYjLSK8fQKBYResqNFQOW/N02Izy2mWYt0/ti6H49uSdzMN8CjWxJ/bN1PsxbpWpmjoXI3W8hXICCgLRrsN8W9ZBv8O0erbHum6RmCcjrQqkPF+P66TCJYqJRhbqpaxLg7Z3Ag31plW2NELhZTqJCiJ67oZng914sx1udqPccQLzu23YwnJjMPV7MSN/t3Ov3DC/ve4Nf+v9HM6j4AGQVGvHd0LtMC9leI9S8lNCkLP2vNM8Sb6ElYfS2W5jYmZZUESgSxdhSxgVTCwEcSAZ5/kM7Z2HREIu2715dyMyWHP4PvqqyMACWuiPHZhYxopn4tck1d8oe2dEKhULLh4j08rI3p3NRGo/4NBQNZEZk5lS9CEpKNsXDUnXfP4+76r7kfYWtQa8Z/MxuJWEl+oZQA9zg2vL8MC5OqvQ1y8vWY8cUESEinVfF57ouMWLFhIkP7RfDmRPU2DHTN1L7NWLo3jJeGBajdpyqBr4qM7AKsahjWo220FtOvBZH/OPp6DXa5UMZnv5/g9NlwunX2Y85zA+rbHLURiWD9shB+X9KEn57vh1gqR1EsYdzweF5cfLXSDfenSexDwxH8pbz61jUWvNqDL34/XnbaXlQk4qePOzJxyh2k0tp/nuNzH665xGII7BZf6zEbC4LgFxDQLg32G0OuFKNQihCLKj40c4sMMDBQ7c5UlRjR9oaArX4qd2IsaepacTf37CVHWliojjVvjIxtcZzVUc8y22Vbuevh2U0olOrjYaGdL6IRzexZdS2WIV522Brp0cQ8gT8H/sz35yYSm2WL7P83HV5ou51+7sGVjpOSV0R7R81PeawN9fhtQHOO3U0lvaBkrrePhLN8SABdnC0w0eLCVyIW0dnZks7OltXfXEv+vfGAcX6Oat+vizh7sVjEpA5NuBCdwvrzd5kY6FY/2cprgUwix84ghRuRNvh5JpdrS8804HakBc36Ve+Kqy7qxOSP6nqFUV2vaDz2C9+NoUvCf7TSvwb6Jdf6KI+y/ODzbHZqxZieqktE1SX6MgmG+lLyC4sxqOKzp6nQL+WzP4/RtY0bJkYNY3GpJ5NQWCRHT1Z5WFOV6EDsA6Sm5WBirK+TsbVBadz+G68M56UXhvDHX3vIzy9CT09Wz5apj0QCr867y6vz7lZ7ryD2GwYdOyfzymvX+WBub8wsC9DTl/MgxoSpM28zamz1v8eqeFTsP40Igl89iouLCQ6uuBZ2dHTE0VH9NZ/A00GD/ebo6n2Lg1HtVCZp23y7N3/MXKnxmNUJGU03Beb4bOXjn59j7U87EYsfbk7EJ5uw40BTdjzzBwCxWTak5xvjafEAQ5nqGPSGzvSWB/ggeTYfRrzCs9ZHMZXmcjy9Hdfzm7Fi+Pdam0ckEjE9wJn1YQ+Y3KIkBtzdIoFFAxcCJTF06ujEfLkCA2nNFs4GUgmDHsk4P97PgVXXYlkWcp/XAt1rNGZ9kppXhIV+xY96fSXQC3S3xtXSiMUnIpjV1RO9Gv6e6otPB/7DzE9fZ8GrJ+nR7h4iEYRG2PHWt31YMGBNrcauq8R795MtSIlRlgj+RxCJYLL+an7Z/EmDEP0Ao7p4snjXdV4bVT7RXk2F/qM42ZnRr5NnrcfRFuYm+mRk5WNrZVz9zY+iI7FfiomxPpF3k1EqlQ1qo+7xJH2Ll+7jamg0r700DDOzhhOqoi1qKvYVCjgdZElMjAFeXrm0D8yot6SxmtJQBX8pnbsl0bnbEZISDSguEuPglFvrn+3TLPifZLFfXCwmJlZ7zyW5AlJSUmjXrl2Ftk8//ZQFCxZobS6BJ4MGK/pf6H2Q8X++ho1hJu0cbwEldeJ/vDCB1p4x2Jlman1OdUTQoxsDbRwi6JNxlKGzx/LchKs0ccrk9CVntu/15JfOPxGW7M5nZ2Zia5GNvWkGIaeb0M42nPc7rUEqbvjxkY8iEsE3fZdxJ82JrTe6kVukz4A2V/mmyWqtLx5EIhHSSgLM1Z0rwNaUHbcTVJYBrIk9LWxNuJKguopAQ+TRv+W7USn4tnRAZqe9cny1xcHckKkd3fnrxB2mdXbHvJLQg4aIi2Uq66b8wB//DeHbRZ0Qi5U0MY9n4dA/8bLTLD9DfWXXD4l0wU9xVWWboTgfZX7DWXRamupjaCAjv7AYQ3ftJoPMLyxi14lbuDtZ4O9lR2hESemrR/9fXR7vXxPMTPTJzClQT/TrWOg/ip6elBGDW3Hs9C16d/Wps3krQ1VGfqVSyXsfr2bG1D4EtveuB6t0S00F/5XLprz1VjNadXyAm1caQRts+OSTpvyx6AaenrpPOFpTGrrYfxxbu/zqb1IDQfALaIK1tTV79+6tcF045RdQRb2K/oIiKVuvdCT4rifmRrmMbx+Et12Jm7ilUQ7rnv8fX+4cxWdnn8NQmk+e3IBJnU4xpfOperP58Y2BGZ4XGJYTxubLXQk9bY2/fTh75q8jMkSPt06+xJo5v2Nr+lAsrj3bjXePz+On3n/UseXaoallHG932ajTOQrlCm4kZ5OQU4B9DV1Km9uYcOxeCrdSc2im6amZCkz1pJyKSWNO64pJBeuSmpzOR6Xk0NZN9yEEmmJiIGNeTy9WnI6it48dXg1oU6I67Ewz+eyZfzTq05DK51kY55Ihdqm0vYiGs/gSOdkRnXMVqXPtN/Aex8RQjyaO5iSkZHPtdiIB3nZExqRy7XYijjYm2FRRavJxTl+JITO7ACc7Uy6FxdGuueYbFOYmBmTmVJPs0t6BzbuCKSpSv247VKwMUJP8AfGJGfUq+qsqv1dYWEzrVh5MntCzDi3SPbVx5U9JkfHmW958t/wA5pb/72U4OpL4WGNmz+7D3r3B6Os3vAOIxib4tcHTLPZBEPw1RSqV0rZt2/o2Q6CRUG+i/3aiAy+ue55x7U/zfI+DJGaa89We0TS1TeDjIZsBsDXN4tdJq1AqS8qfSMRaSnKkZayMc3i+24Fy1xbdnsh349aXE/wAUzqd4sCNNiRYeuJi+TBTfV0mIGzo6EnEzG/XhK0345nY3AkzFa7p6jCvjRvLQ+5rRfS7mBowzk/7J2t14WKvUCqR1rIEoa6QSsTM6d6UPdfiCI/PYmjLxl/Wr5SGJPIfp7NfFO+KB1Og0ENfXD7kKLSgOW1aaC8vQU143HXfzcEcWU3j3Ktg5og2Fa7V9JS+lENnI/F2q9nv3sxYn4SU7IoNj53qZ+cUMGN85xrNURu27LpMWnoulhZ16zpfldgvRSoV08TVjnsxydXe2xjQRtz+ir+dmTQv5KHg/38cnHMYMPIWWzbbM2ly/X7WH+VpFPsgCH5B8AsI1A1qf6uULmDl0anV3Fk9SiW8smEWq2b+hpNFSRI8b7t4unrd5IP/JrLzajuebXmp7P6SzOYNU/BXRmSyPa1cVCdyGdbqAofDWzK987Gya7URf0/ihoGtkR7T/J3ZfjsRJxN9etRgES0SibA0kJFfLK9xfH8pwfGZNLdRXQ2gvmLj1SWvUE5mXhFmhg03qdUzAU5EJmez+HgEA1s44FHJz7qh0pAFvirEYiUL5h7k698/YIZsCS6yOBRKEZfy27FbfxzbZq2sc5sqi9HPyStsMNn1q0OpVBJ5P63GeQLMTPTJeLSsZSUu/DKphMi7yXg2qdsqGIGtmxAaHkf3Tl51Ml9lYv/AocskJ2dibW1Kty6+GBsb8eBBGtH3Ehg8oHGfemkzSd+ZM+Z8MfOsyrbOvWPZ+GdggxH9guB/OhEEv4BA3aHxt4uqxa2mGwEnb/vRpenNMsH/KO8M2M6cNfPKif7GSFWek3KFGLFIey51uhSd9bmhYCiTMKG5I/+ExdV4DAOpmOzCEtFfm59TBydjjoQn0qyBC3xVTO3kzj/n79Lc0Zz2DVicetqYMLdHU47cTORIeALPtnLGztSgvs2qQGMT+JXRr90tHD7N5ofV07j/wASlSEyv7lHsGPt3teX+tIG6ifg27g9jwqAWOrZGO0TFpuPjXvNSrcaGMnL0jMqJ/W9/28/MCZ2xtzUruzZ5dAdW/nuG1LQc2rduUiubNcHV2ZIjp8KJiUsry68ilUowMzHAwtwQc1NDzM1K/mtoKKtx0r+qTvazsnJJSExn6qTePHiQyp59l4GSL1xTUyOMjBpelQGlEjIzpRgZyZHJKl8caDsrv4mpnIxUA2zsK36e01P1MTOrf8EpiP2nE0HsCwjUPVr5hqlsEVzZZsCtRCfauEaqbLMwyqVI3riyeauiueN9LkQ3JdD9ToW2/650YOG4FfVgleY0hFNsWUpGje2wlheRb2mIrJYnx6YGMpKy81EolIgrSTLYUJFJxEzr7MGZO8msCIqko6c1zWtQzrAuEIlE9PW1R6GwY9uV+ziaG9Klad2eZj7KkyLwK8PfPY5Vn2iWm6A2aJpxPz45GyNDGYYGDddL5VFMjPRIyajBhsn/i3wRoFTeL9dkZKjH+q0XeHlWL6SPeCzNGN+ZP1edKBP9SqUShULJg4QMXJx0k8NDJBIxY0KXcteKiuRkZOaRkZVHRmYeDxIzyMjMIzev6LG+DzfDS/+/9L/6elIsnFwwNzPG3NwIi8J0zM2N0dev+HvPySnA0qLkee7oaMXY0V3L2pKSM7l1O67BJPJTKGDhInf+222HlW0uWRn6uDoW8u2CWzg4PPTo0FUJvkkT49m6xpfn37pcoe2/NX688bJmiUe1jSD4Gx6FBWLOHHMmI12fFq2SaeqbrvU5BMHfONizZw8///wzwcHBFBQU4OPjw8yZM5k/fz5isfoho/Hx8Rw4cIDz589z/vx5QkJCKCwsZNasWSxbtkytMQ4ePMjixYs5c+YMKSkpWFpa4uvry5AhQ3j77bdV9omNjeWzzz5j7969JCYmYm9vz+DBg/nkk09wdq64sTxjxgxWrVpVrS29evXi6NGjatnd0NBpTH9lXgFO5qncTlSdWTK/qHEs7qrjlb67mbnyJZZO/ZMm1iUxhgqFiN+PDcbTJgF7s4x6trDxIKLmIrtLU2vWnrurFXfxEa1dWH02ihldGk6JL03o3NSGjh7WXLibypqz0Uzt5F7fJlWKWCxidFtXtl6+T1x6Hk4WunfvftIFfn1Q27J6Ww7dYM7oxuOubWdlTEZWAbfuptCsiRon/tVk4L8adp+Obd0pKpJzJzoZH6/yyQwNHhHFU+evZHDfFrz9+VbuX/66wqLs5NkIWvg4YmVpjEKh0GjRVhUymQQbaxNsrGv2jBVZOFNQUERmZi7pGTlkZOQQcz+ZjIxcCgqKysoE3rgZwwfvjMXBwZL0jByVY731/gqunFtYi3ejXV571w9T52R+37Sb0h/3zeuWjJ3elR0bgjGy023YYv8ByaxdG8CW1T4Mm3AbmZ6CvFwJG5b5Y2EsJaBl/VSkEcR+w+TgziasXNIcnx6xGFvnc+h3fxRZenz16ynMLbRTbloQ/I2Db7/9lvfffx8AT09PTExMCAkJ4ZVXXuHQoUNs27ZN7e+QDRs28Prrr9fIDqVSyYsvvsjixYsBcHFxoVWrViQlJREUFERoaKhK0R8WFkb37t1JTU3F3Nwcf39/7ty5w5IlS9iyZQunTp3C19e3XJ9mzZrRtWvXCmOVcu7cOYqLi+ncue7z6WiLOk/kJ3G3YrBrDAvfHcasrocxMSifqfjvoD6MaH2+rs3SOs4Wafw5eQkf/DeZwmIp1iZZRCfbMSTgEl8Or7uTtcbOuagUwuMz8ft0Dzc+e0bj/hKxWGt1pW1M9OnlY8+KoEhmdm2cwl8sFtHRw5rolJxG4bUwsrUzy4Mimd2tqdbGFMS9bqmt0H8UPZkEPR0k8NMlM0e05vcN5/F0tkQqVbEosncgPjGDA8duMLC3UTm3fShfljQ0/AETRrRj085g2gS4lgngUrbtvkxSShZvzO2Lv58Tx07f5pXZvXnni2189vZQ0tJzSU3P4fSFSM4FR+Pv58T9uHRycgto19KNudO66+rHUC2PuvDr68uwtTXH1rZyD6TMzFx27bnAoAFtMTJU7cIffmURl0MiaeZdfeI/XRN915B7CRK+/Cys3HWfFmlMnBfCb3+78+57UTq1QSyGFStDWbrEhTemDkYqK0apkDBxQjyTP7qp07lV8bSKfWj4gj802IYN/3ox8/djSP4/BKXtoHvcu27J+y93Z9Gaw7WeQxD8jYMzZ87wwQcfIBaLWbt2LRMnTgQgJCSEgQMHsmPHDn7++WfeeusttcYzMzOjf//+dOjQgQ4dOnDo0CF+++03tfp++OGHLF68GH9/f/7++28CAwPL2jIzMzl+/HiFPnK5nLFjx5Kamsro0aNZvXo1RkZG5OTkMG3aNLZu3cr48eO5fPlyuY2LDz74gA8++EClHREREXh7l3iQTZ06VS3bGyL1kr1fKlGwYMZuxv/9Fu/020YP7zCSs01ZEjSAyEwXlr+5FolEe4kD64umtgmsm/UrWfkG5BToY2ua2WArEDRUOnpYcycpGwczA1adiWJKxyZINDyhkohEFBRJ2XShE9svlGTrHtb+MmM7nMNAVlRN7/K4Wxvj62BGRGJWoyox9zh2pvokZuXj0MATpIlEIvydzLkel0ELJ81CEgRxXzdoU+Q/TkOtOgGQmV3Ahn2hGBvqYaAvZWQf37JNtEFdvDh5+S69Az0AWHU8muJiOZ3beXIl6AKx8emcPHubuIQM7G3NEItFxCdm0qltB5atjeTMxSKauuejrydFLBYzuE8LPvxmBxNGtKdTOw+Onb6FQqEgJCyWV5/vy4xXVxN2M46UtFzEEhHmpoYcP30biUSEkaE+enoSDPVlHD4RTkpaDva2pmRkqQ5DeHxjQduok4lfFSYmBiQlZbJpaxBdO/upvMfNzZZDR0NqY57W+G+3PQNGRahs69r3Pm+sCODd93Rvh1SqZN6LMcx7UbMSj9pGEPwNmxV/teCZ166UCf5S3FqkccU6j/BrVvgG1Gw9Loj9xsWXX36JUqlkzpw5ZYIfoFWrVvz8889MnjyZb7/9lldffRWZrHrv7Oeee47nnnuu7N/BwcFq2REaGsr333+Pra0thw8fxs6u/FrDzMyMZ599tkK/rVu3EhYWhrW1NStWrMDIqKTajLGxMStXruT48eNcvXqV7du3M3LkSLVsWbNmDQDt2rXDz0/1909joN5K9nX3j2T5O+tZsrsrv54cholhARP7XuSjwGOIHxHGVS3cG8uGgKlBPqYG+fVtRqNlUocmTOrQhPiMPA7dSGBgC9WhIZWRkafH4B/eoUPxMWbqLwTgxOHurDj2Fpte/Q1rExUlsqpAXybmVERSIxf9BiRkFTR40Q/QydOGFUGRlYp+QdzXLboU+Y+TX9gwF8s5eYWs2H6F+eMDkUrFJKbm8NPqM7RsZkev9u40dbXkREQ6ve0diI5JITk1G28PO3LzCuka6ImLkyVvv9gfgDMXIzE0MOPwyWEcPhGGs1M3lMoeLFt3Ez/v/fTvmURyajazJ3dl+frTWJob8epHG0lIysTczIj7D9Jo36oJY4a2IbC1Ow52Zkiq2Sy5dz+Vs8FR/P3PaVo1dyE5NZu9R65jamLAjv0hnN/7rsp4+ppSU6H/KGKxmHlzB1d7n75evS1rylFcLMJYT66yTSxWImpkFYlqiiD2GwepqfpYOakOm/HsmMCVi7Y1Ev2C4G9cZGZmcujQIQBmzZpVoX3s2LHMmzePlJQUjh49yoABA3Rmy++//45cLufVV1+tIPirYuvWrQCMGzcOU9Py63RTU1PGjh3L4sWL2bRpk9qif+3atUDjPuWHehT9AM42GXw2fU+N+z8JGwJPI6UJnDTFwdyQo7cSNe73z+kOTFcsw9vwYVLFwYb78SqI4I21k1j1whKNxmvrZkV2fnGNTp8bCg5mBly8m0orF4v6NkUtfFs7c1siwtdVNwnKBCqnpiL/Towlm48EkJOvT/dWd+jbIarchq46GDXQBH7Ltl5m3rj2Ze77dlbGvDKpA3FKA/7af43t+0JwtDfj4pVoHiRmMvbZdhQUFPHv9ossXRtE0M43iYhOYvig1mTnFDDt5Vt4ebxOcx9o1tQOO5sEvDzyWbt5NAeOXeNu7HUUCgWd2rmTlZ3PuT3vYlCLn42bixVuLiXfn1dCY9h3NIyIqERkUgmHN72mNcGvDbGvKXp6MnJzC+o9i//APsl8t8SDzr0qVp8JuWhHywDVAutJ4WkW+9C4BD+AUi5CIRchllR8Ruek6eFpV6CiV9UIgr/xcfnyZQoLCzEwMKBt24r5dGQyGYGBgRw+fJhz587pVPTv3LkTgKFDhxIcHMzy5cu5desWRkZGdOzYkdmzZ6vcDDh7tqRMaWXx+V27dmXx4sWcO3dOLTtOnz5NZGQkUqm0nOdDY6RhbInrgEc3BHLy9fhufT9OX3XHUFJAAXqManWG2d2P1Eh81geHwwNYcnYwhehRWCihh+c1Xuq+G2P9AhKzzPj3bGeSMk1p6xHN0FbBSCXaKwmoDZRKWHqiD1vOd0SfAvIV+rTzjOKDZ//TyAuiWK6ZaMjKNyAz0xxz8yNA+VNtb/07bIw3JjPPEDNDzTJu+ziYNWrRb2WsR2qudhLzaIPqTuu7AWsO3xJEfx1Q25N8pRLe+30QcdkOTJ2dgLl5Mft2BfLTa71Ys2ADtla5ao9VLG9Yz7FSlEol2bmFWJoZIHIo8Ty6HR7Hpp1nSUzO4mjQLVb8Oo2Obdy5fjOO/j396D1qIaOHtuHasY+5FZlAbl4xSclZ2Nl0Y3BfX/73ZRAAcrmi7KS+d1cjlqydye9fn9LZe2nt70prf1fWbDrHT4sPYef/Dj06ebF/w8saiX+5XMHRoFvcTZFjbGSAUqlkzCg79PTqduOmWxc/zpwLp2/vVnU676MUyKQ0a5NHQaYxQYed6do3tqwtNdmAv74LZOWKsCpGaLwIYr9xif1SuvWK5doRZ1r1L189RKGA6wfdeHn1EbXHEsR+4+X27dsAuLm5IZWqloienp4cPny47F5dEB8fT1xcHCKRiKNHj/LWW28hlz/0nNqxYwffffcdW7ZsoV+/fmXXCwsLuXfvXpmdldkPEB0dTVFRUbUhCqWu/QMGDNDI46Ah8sSK/lIKiqRM+GwGzzXdxvvP/o5IBIVyKYuvjuCt3bNZ+NJWlf0akqfA0qD+hGT7s+T7g1hb5KFQiNh+tBkTV73NAM9z7D7XilFWB2ivd43gU835de+HLJmzFG+7+Po2vYy3/52MZU4Cqzp8hEwsR6mEEwltGP/Ha2x5+ScM9dSLrZdomHguMcucAKMALuT+yxAzN/IUxRiKH/7Z20sSSMo201j0G+tJSM7WfOe7OmLTLfnfyRGEpXggFilxMUng1W7baGb/QKvzFBYrENfhjpc2XPA1/d0LqIe23fVX7WqDiZs5yz+8UXatTdtMQkeY8OKHI9n0zbpqx1AolBw4HYFNHVRtqAmzXxjEibMRJCbHI5XcQywW4+pkyZzJXdm86zKLvp3AhOHtWLTyBP9uv0RIWCwjBrfCzNQAV2dLXJ0tkcsVjJ61hD7d/mBI33tlYz/qmt+yeSp3Y+omjGjq2I5MGdOBr3/dx8ff7WTUc0vYvW6+Wn0PHAvj+79O8NvPc2jb1QJLSxNycwtY+89x7GzN6d61Oebmxjp+ByU4OlrVW1z/46X3li67zjtvN2PLqhb4tUoiIc6ElAem/PLTLVxcnryQv6dZ8DdWsV/KpOfCmT+tLxKpkuY9YxGLIStVn33/a8WwUZEYm6q3RhMEf92SnJyMi4uLxv3eeOMN3njjjQrX09LSALC0rPyApbSt9F5d8OBByZpXJBLx5ptv0rFjR/744w9atGhBREQEr732GgcPHmT06NGEhobi6uoKQEZGBgqFosr3UHpdoVCQmZmJtXXllXYKCwvZuHEj0Phd++EpEP3/HmvLIIeTDPZ86MahJynmlTabmXfkLcJj7PF1rVirVh2RUhcbA+m5Ruy63Zldf20s80oQi5WM7HuTkFv2HNnRjN+afVnW1sI0koGWp3lh+escfPdrjd1pdcHtRAcS4w15v93DDRaRCHo6XCYh35p1Z7sxu0f1NS+VSiXpuYWci0qho4ca5bAAB7N04hVO9DOwZGtGFJYSfXqbOJW1P5A74mCWrvF7MtKTcuV+Os+2dMJQSzGkUcm2zN32Ot9+dYUObUp21cNuWvLGey/xWc/ltGsSqZV5AG4lZtHc0az6G9WkLuLqC4pUx8cKqE9dxONvONSWjbsrnmL6t8zG3FZCxD0rvNyqfnbuC4ogI7sAK3MDXZmpOY+U1zMBnunrX+GWvLxCDPSlZGTlc/VGLP17+nHoRDgRUUmERyRw6cDDzG0SiZjsnAIMDYrJzlF90iCXi1Aq626zSyQS8cGrgzAx1sfIUI+09FwsLYwqv9/CmVNBYazbGcqRY1fx9XEpy4ZsYmLIc9P7kZiYzu69F7G3t6iz0/f8/CKdJyR8lMfFfimGhgp++z2c9HQpt28ZY22TgaenZhvMjYGnWexD4xf8AEYmxfyx+jArF7dg1Uu9kMgUGBrImTo7jM491Tt0EAR/1ciLRcTe1d4mrkIuRi6XlwlkTcjMzFR5PT+/ZDNST6/y36W+fknoVF6e7p5lOTkl4U8KhQIzMzN2795dJtabN2/O9u3b8fLyIi4ujoULF/LTTz+Vsx8qfw+l9kP172HPnj2kpqZiZmbG8OHDa/WeGgINNzWylvjvuD8TfQ+pbJvSbB+bj9V8ESJxt1LrVRt2XAtk4rAwlWEI4aHmvNlkZYU2O/1UOhhe4UBYQK3m1hZbLnRgjIvq38Ew1+PsuqxeHW6RSMSLvbyJSFQ/8Z6xfgFebqlkKTszwMSFDMXD3eqrBf54uaVirK/5ib1YLGJ+Ly82Bd+v/mY1+fTANJb9eYYObR7mLWjuk8Y/K47z2WHt7jAmZObjqEYSv7r4G1eXDj52nLquXY8HVZwNT2DVoZusOBDOocv3SUjLRaksv3mWV1BMXkHDX+iJnOzKveoCqb4IAwPVbvntOmUTFmlbZX+lUkl4dDIpGbm09dUsaWd1HDh9h9U7Q4iKVfOEwt7h4UsNDA31eGF6D/p0a8aDhEyaNrFhypiOnL5wh0MbX6kgQiViEcMGRvPPNm+V4+0+1ISeXSrGhOsSkUjEq3P6cOduMv/8d6FCe2FhMSILZ67HFvPTr/8hEsOKJa9wMegnlXWb7ewsmDShJ0aG+hw7ca0u3gJOjlZE39U8/4umFMiklQr+R7GwKCaww5Mn+LOKkp5qwR+fW/xECP5SjEyKefGtEFb/t48Vmw6waM1htQT/3Ww9QfDXExKJBGdnZ41fZmaqD30MDEo22gsLKw//LCgoWTMbGurOE6/UDoBp06ZVOLU3NDTkhRdeAGDfvn0q+1X2HkrtLx2nKkpd+8eMGaPT91tXPPEn/UXFEgylqkWdqV4ueVm6jzfURBQ97j2QVWCEr5XqhUJ6qh4O9ikq21oa3uR6jA+D/K+qb6iOKCiSYSxV7cqoLy5CrtBs7ym7oIhiuULtcl4/TlrPuN9exiOvBXnyxfySdB+5tC9yy7FsnKRerVBVOFsYYW4gIyEzH3uz2p1I5hXKyBGb4dkkq0KbpUUhrh4FRCbb4WlT+4WsxN2KtLup2DZ3KCsx1hho0cSKvw+E06apDcZaTvAWGp3K1agU5AolbnYmTO/nA0B8ai6hd1NJuJKHSPQwCaVELCIjtxCpWEzf1s64NYBKDnWZVb8qCvJE5ZJ17t19ngGD2nHrZixbN59hYKtUwKbS/kolrN8TyvpvR3Hm6n2yK8k9oVSCnZURvdq7I5NJKh0vLjGLWQt2MLqfH239HImOS2fl9hB83K1p4mhO1zZu5TuoKfCrIrC1O6HhcXz03U427wpm0shADp0MZ9ywdmX3BF+9R7+eftjb5tHaP4lPvg/kg1eCMTAo8WgJOu/Ab8sD2LJ8X2XT6JTw2/F4e9iiVCrJzMonpdiYsBsxLPhqA7Nn9OPA4SvYWJsxc2pfJBIJ7dp6VTle506+LFtxgE4dfDAw0K1A6NGtOYeOhODhbq+T8dUR+k8yT7PQL+VJEvu1QRD79YuNjQ1Xr2pvna+O6746IQDasgPA19dX5T2lpfOio6PLrpmbmyMWi1EoFJW+h9LrYrG40s0PgPT0dHbv3g08Ga79oIHof3xBqYzT/S66Ngj0u8exe63p3eRKhbZ9dzvTva/2XKa1weMbBJ0L49l0uisDu9ypcK9cJCGn2ECloI4tssPBMkNndmpCT78w9h/vQGvrWxXaziQG0NY9WqPxJgS6sexUJL187GhmZ1qtcDUxKGDXmz9xMCyA7ec/xgkI8NyDXDEXqcQTqFwwVMdgfwf+d+Q2b/b3qZUraW6hPpbmlXsc2Nvlk5FX0c22pqfsSqWyUQn+Uib39mbp3jDmP+uvNdfdc+EJJGfmM6l3xdNWBysjHKwqd28GWLQzlDmD/ZBJa/53pCkNReCrolvLSHbvsGXo8BJhcPzYVfbsuYCHhwfKwvewt34ZVaL/TEgMd+6nIRGLGdPfjyPno5g4yB9z08o31OKTs9l0MIzCIjmdWrrg61FxXHvrklhyNwdzmrlZk5CczdCezXCyNeWXNWdx9fcqy2SvDfLzi3jx/Q0cC7pFTm4Bt898hplp+ROCtPRclq49xaLvSjIBf/R6MOu2eDNy5iD09BTk50vw90vh378OYKZmLK22+eLdZ3nutTVkFumxYdMpRg3vSL++bfB0t2fDplMsXTSfZt6aZeefNL4nGzadxMrShGFDO+rIcjA1NSI9Q7vZ8Z92oQ+C2AdB7JciiP0nE2/vknXQvXv3KC4uVpnMLzIysty9usDd3R19fX0KCgrKueM/Sun1RxP86enp4ebmRnR0NJGRkXTu3LlCv1L73d3dq0zit3HjRgoKCnB1daVnz561eTsNhhp/i1W26GxomwHPP3uGKZ9PJsA2EhujhzEs15I8OJPSmo/aLq5H66onsNldvto4hOAb9rT1e5h7oLBIQo7SkI2Jg5nptK1cnyKFhD1ZfdgzYhkSA/UWs7rMT9Cz2Q1+2juUkFQvWllFlF1PLTDlfxGTWPWCZr8Dc0M9Xujpxf7rDzh6M4FuXrb4O5lXKQLFYiUD/a8y8BHPh+x8d/48HsGoNi40sX6YZKpIriCnoBgLo+q/1PSkEsa1d2Xl6ShmdlWdKbQyHhXsNgoR9zeZIpeLkKgomXPhii3vvJmv9u+zOpT1n+qhRujLJIzr4cXvO0IZ2rEJHg61y0tQLFcQdi+NmQNU7ySrw7R+Pvx94Cad/expqWauCU1oyAJfFW9POcG4DyaRkKDHxCkP6D+wHffuOrNlfX/mPLsEqUTG0QtRJKXm0rW1K0cvRiOXKwls4cSUIS01msvBxoRJzwSgVCo5HxrLml1XEYlKPpcezhY0b2pLXGIWw3v78Mp3++jRzo13ZnRlT0giBvqpPDu6C3uPXKe1vwutW7jw29/H8PN2YEg/9UKjYmJTCY9IoGdnb/T+P7dHYVExcQ/SWbFwKv6+ThU2g8Jvx2NoKOO3r8eXe2ZNHn2byaNv17ikqTYRWTjTsrMzF891AGDKxF688e7fXA6J4ufvnsPVteoQjcowMtJnxtS+rFitOtxLm3h5OhJx5wFeTWsXIiKIfUHsgyD2H0UQ/E8ubdq0QSaTkZ+fT3BwMB06dCjXXlRUxIULJWFfHTvqbuNWIpEQGBjIqVOnykT645Red3Yuv/ncsWNHoqOjCQoKYvLkyRX6BQUFld1XFaWu/VOmTKmz/DC6RqR8PFi1EpQhn9Z4kvreCAiJdOLtP4bjb3EHd9NYgpN9yZOa8vvrm7E1Vz8+vL5IyTTmhT+mYG+fT8/Ae8QlmrDrmDfznznElkMtcUyNZJzNXsxkOdzKbsKixMnMmXSJkT3qJn5SHdKyjHjxpzGQlU9L05vcL3DgVl5Tfnj5PwIkobUa+9LdVM5EJjOrq6fGSfWUSiXr7iTT3M2SwGYl4mrRzlBkMjFWJgaM7qaekD8XnkB2fhF9W2ueRbWUxft6kmHoynuvlXfVWre5KddPi/hqqupKEzVh/dHbKk+2GwsKhZKjV2OJScpmSp9maod6AFy+40LQDR+M9PORsImhHa2wrmV4BsCJa3FExmcyubd3jU/9G5vAr4yCQgn/7G/J9pMBZGTdJTn5e9Z91ZlrESGERSax//Qd5HIlX73cm/6dmpbVu9cWRUVyouLSCbuThK2lEV0GBiISibgdmcix07dISMriuYmdcXKw4L+9V5DLlWRk5bFsXRDHt71RZbjAo/yx4jiLV50gO6eA918eSBNXazyb2FBYVMzhkzfx93WiT7eSUJHCwmLe+WIbbQNcmTKmg8r49/pEZKHZqX1tOHDoMkVFcoYMbq+zOZRKJX+vOsSsGf1r1F8Q+4LYL0UQ/CXUl9gf4tb4Xas9PT2Jy8ij5ftrtTbm5QVj8PN01ap7P8AzzzzD3r17ef755/nrr7/Kta1fv57JkydjbW1NXFxclQn/KmPBggV89tlnzJo1i2XLllV632+//cYrr7yCu7s7t27dqnAq37ZtWy5fvszs2bNZunRp2fWNGzcyfvx4rK2tiYqKwtT0YfhlVlYWHh4epKSksGXLFkaNGqVy7ujoaDw9PVEqlYSFhZWFEjR26kT0VzpmHW4GKJVwJdKF+FRzfFwS8HRMrrO5tUVotBOX77hgZZpL/zY30JPJUShEbDvVknV721FQIKGJUxovjzuFn1vDKdf3KPcSLQm/74CDZSYB7rFaO9HKLyxm3dHb6Ekl2Fsa0r+Ni0Y7c4ev3Od+cg7T+jZj6b4bTO/nw8VbiRTJFfRqWf1iODE9j7PhCQzr5F7j96BUwucbhnH1gScjh8cgkyrYudsZS2kqv8zagFSinZrlG09EkFtQzIz+NT/dbiikZxew+tBNpvb1wdJUtQtYKRk5BsxeNBvXZmIGD0knLU3Kd9+fYEr3prw+bL9W7EnJzGf/pRi1NlSeFIGvDv9bf46rtxJo6+fIuWuxfPVyH1zstVc9QiU1iM2/EhrDroOhfPjaILWfH1nZeTz/9nrmTulOQWExf6w4xspfp2NlacywaYsY+2w7snMLeGFadzKz8jE3azjJgOpS6D9O6PW7HD56lednDcDQsOrPbk3Zu/8SrQLccXJS3wNHEPuC2C9FEPsPqc/TfUH0q0ZXoj8oKIju3bsjEolYu3YtEyeWhKGFhIQwcOBAEhIS+O6773jnnXfK+ixcuJCFCxfSqVMnNmzYUOX46or+vLw8fHx8iImJYd68eSxcuBA9PT3kcjmffPIJX3/9NXp6ely+fJnmzZuX9ZPL5fj7+xMeHs7o0aNZvXo1RkZG5OTkMH36dLZs2YK/vz8hISGVbr5/+eWXfPzxx7Rr146LFy9q8uNr0NSr6K90rgYWIiDQuIhOyOTQ5VhmDfTVSPgnpuex6eQdJvXyZsOJCPq3ceHg5ft0be6Ai40xVlXEFj9IzWHJnjDsLI0Y0dkdR6ua16ROzjBmf3BziuUS+rYOx8UmvcZjqaKxn/I/TlGxnO1no8ktKMbGzIC+rV3QV3FSO2XhC7z8QQadO6YDEH03gbv3ktmxfQRdrE4ysvNlrdhz/mYCsSm5jOziATxd4l4VxcUK1u+9xp6Tt4lLymLVFyPwcNFBAqBaJuA7cCyMC1fucv3mA3p3bcacKd0q3PPyh//i5W5LcmoOzw4IoEMbdxQKBVa+bxFx5nP09CS89P6/dAn0pF8PX7w8Sn73y9cHkZKWw807CSz8fCymJvVbirA+xf6j5OcX8veqQ8ydPRCJRPs5MRQKBStWH672tF8Q+iUIYr8EQew/pCG48guiXzW6Ev0AX331FR999BFQYruJiQmhoaEoFAqGDBnC9u3byz2zS4V8z549OXbsWLmxYmJiaNOmTdm/c3NzycvLQ19fHxMTk7Lr27dvp2vXruX6Xrx4kb59+5KZmYmlpSVeXl5ER0eTlJSERCJh+fLlTJ8+vYL9oaGh9OjRg7S0NMzNzfHy8iIiIoKMjAysrKw4efJkuY2Cx/H19eXmzZssXLiQV199VaOfXUOmYfkX/j+Pl5mq65JTAuohlytQKBpecLi7vRnPBLqxbP8NcvPVT4JlZ2GIn6slkfGZDGzrys6z0Qxs64pCoWRrUFSVffWkEjr62nM/KYtDl2NrZb+NeQ6Te19ger+zWhf8TyIyqYQx3Zoyra8PHX3s2XzqDqsP3yQt62FixKh4a/QtjMoEv1Kp5OKlCOxszVjwaSR/H+1daztKn1EdewfQqqM3fwXdo9BGd+UM8wuk7D7hzT/7/ImKtdDZPDWlqEjO9YhElm0LJiwyCTMTA/7+bLj2BP+j5fS0kHG/d1cf3F2tsbMx5eqNWP5cdQK5/KF3zY1bD5DLFXRo405hUTHBV++xbF0QSSnZDOrdnJc+2EBBQTGrf5/BtLGduHE7nne/3Ma3v+1n1qSuvDN/AO/OH8CcN9dy9lLVzxNdILJwLns1FAwM9Bg8sB0//7odhUJRoTRmbRGLxTg5WnH/vmrPPnVL7j3pPO2l9x5FEPwPaQiCX6B++PDDD9m5cyd9+vQhJSWFiIgIAgICWLhwYQXBXx1yuZyUlJSyV15eSUWygoKCcteLiiqu19u3b8/Vq1eZPXs2xsbGXLlyBYBRo0Zx+vRplYIfKDvJnz17NiYmJly7dg0TExPmzJlDSEhIlYL//Pnz3Lx5E6lUWubl8KTQIE/6a4LgHVC3xKXksGDtBab186FbC+3W0tYWyRl5rDt6m+cG+GKqRlI+KDmxX3/0Nm+Obk1KZj5rj9xifA8v9gfHlJVxe5yiYjkLt11lQi9vdp2/S3pWAe9PaKvNt6JVnrSTflUUFcvZdjoKhRJGd/Vg1/m2pDl2YPZz91Eqlfy5ZC8D+7ehqWfJ3+6woQH89+b31Y6rycZjbl4Ry7YFM398IBINcg6ow/p9LVmxpxPPDE/FyqaYo/vNUebmsejdbRgb1k+298dRKJSMev1f4lOymTWyLbNHtaldMhwtCHt1eZCQQcj1+0THpHD+yl2KCovJyilg09I5ZfH+2Tn5bNp5GWMjPVydLOncXnX+j+Xrg4iJSyMpJZvfvx5Pr5G/YGlhxH8rX9D5+2hIAr8qvv5uE03cbMnNKyQqOoGvP9feyZ5SqWTp3wd4ftZAQDjVfxRB6D9EW2K/uFjExr/9OHXQFX19BQWFYnoNvsuY6eE0sDQeldLQxL5w0q8aXZ70CzyZPDHfftUtxoVNAe0iEkE3f0fCY9IbrOi3MTdkaMcmLN13g7nPNFertrujlTFtmtrS970dHP52GK8MD2Dx7utEJ2QRk5SNq61JhT7hMekMbO+Gq60Jo7t68tGqcyiVygab7VNPJqagSK7SBf5JQSYtyfKfnl3A2iO3iYrPQZnXBoVCwfKVhxgzsgt2dhZASS6F/LyHvytteRQZGcqYNrQVmw6GMWGQv1bGBDh2sQn7Qtqx42AIpZvtEyc/4NgRS178biSrFmzU2ly1ITUjj4Bm9qyYOhzLmsSx16HIfxxHe3Mc7c35YdFBvn5/GItWnuBuTAoymYR3v9xGh9bunDwXQWDrJvTp6oONdcXnQikTRrRn1My/kMkkfPvbfoyN9Fj56zSd2d5YhP6jfPDu2LL//+ffE0RFJ+Dhbq+VsUUiEf7N3Th6/hZdulZ+uvM0IYj9h2jzZF+phE9e6kHv3gls3H4EqVRJUZGIVcua8fkb3fj0l1P1XpmjOhqa4BcQENAedbrvWJ9lwoSQAe3iaGVMfqEcA72GLRybOpozorMHv+8IJSu3UK0+YjG8Obo1O89FA/DCkBZ4O1tU+l71ZBIy/39sOwtDTI1kbDxxRyv26wJ3O1OiE7Lq24w6wcJEn5kDfHG2juW//86zcs1Jhg/tUCb4AQ4etqG9f6xOngcWZgbk5Rdr1W35jy3d+ObnCB73ruvVJw0MDRuEq/+py/c4fD6Kz+b1Ul/wa9ldXxu8/WJ/HOzM+fydZ1n12wwAvvtoJKOHtmHhF2OZPLpDlYIfIPJuMlKphP9WvoBPU3vW/D4DC3Mjrdn4qNt+YxT8j9O/b2sOHr6ilbFK3ffb9QggPDyGoqKn23VbcON/SHxusdZd+c8ed8LbK5upMyOQSkue+TKZktnzbmJrWcTVizUrdVkX3M3WEwS/gMATjs5Ff2GRhG9X9qTfS3MY9t5s+r00hx/XdKe4WP2p4xJNOXbBnRuRNjqxsaoNAWFToHJy8ooQN/Rta8DT0Ywx3T1Ze/Q2YfdSq72/o489u85FczUyhcNXYpErlMwe5IeteUXxUlAk58fNV8rK/YVEJjOmW1P83a1Yui+MomK51t9PbWnqaE7kg8z6NkOnPPr5fSA1xMnbgf+9a8Z/214jJbWkrKJcDlu22fPjdy68M/W4zmzp2b4JB8+orjNbE/KKDbC1Vb2B1XtgJudD60/4JaRks3xbSULE8QNbIBZX8nx4XOA3EJGvC+xtzVj7x0ykUgmjhrTB2qrqTQJ1eJJE/uPY2JjRws+N3XtrnjFZVaz+mLHd2fjvidqa1ygRxP5DdCH2Szm43ZOpMyJUtk2dGcH+/9QrAVzXCGJfQODpQKfu/QqFiKmfjmfohGx2fX8Vsbhkof3PWkemfzaWtZ//W6WrU0aWPq989wzFxWLaNn9AdJwFkTGWfPf6Qfy96s5dXx3h/zSGD7w+qlV9m4BSCTn5+hjoFVVa0u50mCd/7elOeo4Rf+5awmdT/RjRObTSvz1DfSmLXupBbn4R32++woVbiUzo6YWHQ8USY/oyCW+Pac3i3ddxsTHh8p0kvpzeEQBrUwNe+O0Ewzt71KqUn7axNNUnNTu/vs2oFZpsxu04fpO5Y9ohEkXiaJPJwm+7E5fsiVwOfdvfYsv3hzAxUs8LpCZ4ulhy6vI9MrMLMDOpfWmyokIRSiUq/35TkyX4avm9qGN3fkEx246EoyeTMHN464pi/wkW9dVhZ2Na/U1q8CQK/Mo4dSaMpKRMhgxur3af6mL1Q69FIxLBtatRBLT0qK2JjQJB6JdH10n6crNlWFgWqGwztyggL6f6EMO6RBD7jZ/i4mKCg4MrXHd0dMTRsWGG3grUHzoV/QfOeuLXTs74SQll1yQSmDL9AbfCPTkR3ISe7e6q7KtUwtQPR/PRnON0CHiYDT0p1YhJ749hzVdbcbDJ1qX5GqGuCHkaNwd0gVIJf/7XlY2HWmNBBtlyY5o0yeTLubtxtHp4iv3Hzp5cuePKl9N34GqbxoWbBXy+/jqHr4zmt3lbqtx0MjKQsWBKIHkFxWw7HVUm+u8nZ+NkZYxYLGL90dskZ+Tx6oiW3E/Opondw1M8BysjAtytsNSC0NM2xfKGV3UBtF/e7kxIDJ0CXMryK/h5JrP4/W1anUMdJg7yZ+nWYOaNa1/rXA/tmt3jxHFLevZKK3e9uFjEnu1WzP+p9l4FxcUKXv1+H29M7cRr3+9nUFcvbCyNcHMwo3MrV5RKJSu3h3D0QhS7Ttxm8UdDGNLdu2Rz4CkW+NrmaRL6j6Ink+Lhrt6zQN3EfJkZORw6eJmcnAI8PB0wMalBnolGgiD2y1NXGflbdYjn8AEnho++V6Ht8AFnWgUmqOhV9whiv34QFyuxuqc93SJWKElJSaFdu3YV2j799FMWLFigtbkEngzU97GvwUJu85HWTH0uXmXb9FnxbDrSutK+J4Ob0MonvpzgB7C1yuX9WSf5a7P6JwANiepCCYSwAvX44K+hxJyUs8j1Y75v8j2LPD9lRN5mJnw0nZRMYwDuJ1twJMSHJa+uxdW2RCAF+ujz/axUbt/fwvL96p3AGepLycgtLIvLDroeT+fXt5KalU+/Ni4M71xyauRiY0L7ZuV/b6+OaElMUjYhkapLRtUHCWm5OFppL6ZYHerjb764WEFoRBKtfetfhMpkEp7p5s2uE7dqPdZbU07y3acuHDtqVZYnJSFBj7kz/Jj97Bn09WofUiKVivH3smPTwTAu3XhA0JV7mBrp0XX6Cr5fEYRz/1/4/K/jePi4EhvyLeOm9cWsaRNB8NeSJy0+v6a8+tKzmJlV/owqdd/XJBN/YEcfkhLTyczIZsLYr7RhZoPh9i1j9h6ScDMqRxD8j6BLV35VPDs+gmV/+ZIQb1DuemyMERvWejJolPbCvGqKIPifLKytrbl06VKF19y5c+vbNIEGiGYn/aoWdAmqRT1AfqEMU1PVD1wT02LyCip3dTpy3oNhPcNVtvUOjOKXNZ2rtvUJQFMR9LR4EcSlmBN2zZIfmiwpd93H5C4ziv7lj63d+GTGftYd6cCLQ49XOM33c7Pkj5cMmPBNDkM65OBoZVztnB197Lh8J5m2XraM7+lFZz97ZBIxVqZVf4GKRCIm9fbm7wPhBLhbVx7jXIfYmhsSn5ZbqzEaw6bUlsM3GNPfr77NKMPd2YJzobGkZ+ZjYWZQfYdKsDLPY+PX6/h5fXd++jIAmUyJoSyfl8cepkfbiidMNaVjgDN//3eF1V+OoF8nTwoKihncpwVHrsSxY8182rduorW5nmaeZnFfGamp2djamJe7VttSe9bWZgwe0oGiwiIUciVXQyJp2aphxlirS8RtI+a+4oWBTS5WrlkkLPbCSCRm4f/OYW2j2s38aaAuhf6jmJgV8f73Qcx9rhstW6Xi55fB9VALwsPN+fiXUxgY1l+OH0HsP5lIpVLatm24JaIFGha1d++v7GQnIZ4erSPYu8uZiVMqbgzs3mFDz9aqE54A6OvJyc1XvSlQWCRBImmY7sn1SW2EWGPaMNh52p8BxqoTr3W2CGHD5VEwA5IyTHG1SVN5X1PHfBwsZ7Dv4nvMHOBb7Zxtmtqw6eQdwu6lcfFWIu+Na4upkfpfov1aO7NkbxhtmtrQwceuXsv5lW48yOUKpK7aOZktLJIQl2iKuWk+lmb1ny8gJT0XsUhUs1JxOqSJoznxKdm1Ev1QIvy/nHdAS1Y9JCungMBJy9i/6TXa9mrD3ivx7LhwnzN30jh2+jY/LhhNG39Xrc/7NCGI/Oq5dj0aPx+XWgv9xxGLROTmFtAiwJ0bN+41atEfk5jBlFltGfX5aSzs88qux940Z8a07vy38/BTt06qL7H/KJ7NMvhz0z7CrtgQF2NC31ERvNQypd7sEcS+gIBAKbqL6bd3YPL0eIZOD6Rrj3Tc3B4KgagoQzausWXPLzsr7T6qbxjfr+xGz/YVY/43HmjBM91q7yYr8BBtn9zqchOhsEiCTJmLUqksE89HkuMxkUrpYGFTVhsywCOW0zc8aeZS0ZaLt5tgb3mVFk0s1ZpTJBIxrocXUFKWT65QnTSwMtzsTHlhSAtu3Evjy38uMbi9W4VQALXs0NLvacAgQw7dSmBQLfVbcbGYr5d2IyjYmWZOCSSkmyGSivn2jSN4OKdrxdaasO1IODOHt663+SujfXMn1u+9hq+HbiqR1IhHN26z83lmYCvWbb1AgJ8ThYXFhITe54dPRvHxG0MqdI28a0pauj7enhmYmRbVodGNC0Hoa0b43SS69NP+6VWv3i2ZP+939PRkfP/jbK2PXxeUuu+vXtmcDuPDywl+AGefDJzbJnBovxMDn4lVNcQTR0MQ+48iEkGLNsn4BKTU68aLIPgFBAQeRaeJ/IyNivn7p0O8Mq8nLu5F+DXPIfSaCQmxElb97zAGzo8sfB8LE/BxT8HYsJDf/unIvLEXkEpLRNaxC+6s292KrT9v0KXpArVEl+7f/Z9JZtauIjpbyTGUlPwJZxYXkVJYgLGkI77+WYic7Bg/7h7PvDCRYZ2uYmX60J29sEjCl/8Owbvpe7To2BKRBif2AHnhqShsrRE5mld/82M0d7Lj7daeLNt2mcBeuneRvxGZxLlrsRgZyCiWK1AqwdRYj6TUXHoF1t49++WvB9HJI5yPFmwuC6OIirdm9kfTWf/jNuytc2o9h6Zcj0jEx90aiUTnFUk1RioV42xnyrlr9+kY4FK3k1cTbx8dk0J2TgEtfBzp38OXn/86Ql5+ER+8OogObd3L3Xv5mhUfftoGF6MHOJimcTm2E94t8vn2s0vo6Wm2IfYkIoh8zSk91c/MzCUtNUsnc/j6uZGdnYeVlbReva00RVWc/vETDoz85qTK+317xHL4gOcTL/obmtiHkjOHdct9+W+LJ0o9OYoCKS0DUnjjw2DMLXRXJeZRBLEvICCgCp2KfgAPtyx2rtzFjVsW3L1vysDpWfh4pVe8UcWCdOGPl1n0mxuD50/BzLiAzBx9WvnE8+/3GzEyFE6Vnlb8PJPx8BnDxQwjultcIr2oEIVSSbHSkN9SnuPvzw8CYGhQzC/v7Wfst/MY2SmYdl7RRDywZfWRrrw67TyW5naE3Iynaxs3jeYf3tuHH1ed4e0ZXWpkv6GBjCHdvflnbygTB/vXaAx1OXw+ipcmdCh3LTO7ALEYTIxqV1XgTowlBTlKpvU9W+66h0MKH47bxaIN7flsvuowDF2hVCo5efkeL4xtuIk++3b05GTwXdbsusqUIQG6ER9qJtRTKBRs+O8St6MSORZ0i15dm5GalsPW3Vd4fmo3hg1sWcG+6BhT3nmnNWsnfYe1ycNMxP9d7cC81/qxfNFprb6VxoAg8muGKvf9f/85xrz5Q3U254cfTWLWzJ90Nr42qSopn0yqoKhAgkRaUfgW5EnR16+/+HFd0xDFfilfftiBiALwee08YmnJKX9SuBVzp/Tl7w0HMTLRne2C2BcQEKgKnYv+UvyapePXLF2jPmIxvPTqPV569R5FRWKkUsX/nyZaVplAUODJZ/n3e3njiz5suTGE+8lv4Go+jcjCZNb9fLKcW3lr30T2L1nH9mM+HLvTBif7LP77fROG+vlMfPcc678drfHcIpEIa4vaxYp7ulhyOTyeu3HpNHGyqNVYVWFmrE9hkRw9meThNS2VENxz0ovRXS6qbOvV8hY/bh+klXk0YV9QBIO7etX5vJrSvW0TmrpksXb3NaYObVnzgWqZLf9o0C1uRyUSdvMBbQJcOXsxity8QnavexETY9V5B379w5evB/9dTvADjGh5nj2bOhIRZYaXR6bKvk8KgsivOdXF6cv0pBgZ1S7nRVUMG9GZrDF53ImIo6mXk87mqSnqZt8fPfouJ3Z50GX87QptV3d78M68itcbOw1Z7APcv2vCtQgzfOZeLnfd2jeVwvT7/LumGTPnhWl9XkHsCwgIqEOdif7aIpM95jJa1WJX2BB44jHQL2bRlwdJyzTgRuRkrt+5hL11Bu2aV/yTlskUjOl/o9y1j34/xuZDNzD9cif9OjZFJhVTVKy+W/LpkPv07+SJq4PmLv4AkffTGNXXl3V7rnEjKpkBnZuiVCqJS8rCQE+KrRoVBdTh2Z7N2HXiFqP66iaLfUNykM3OLSQlI0+nmyjaxMnOlJbedpwMvkv3tlWEWuiwDF77Vk3YtjcEHy97UtNyGDusLdPHdaoyNOLWTRPadIxW2TbMJ4gDRzs8caJfEPm1Q5OEfPr6Mr7/diNKpZJ33x+vE3sOHf2Odq3nk569TSfj1wRNS+0NH3WX9aN7E+6chU/XeEQiUCjg0g5PTBQSWrVJ1ZGldU9DF/ul7N3hjkVH1SEV9u0fcHhxO62LfkHwCwgIqEujEf0aIWwIPDVYmuXTpXUs/l6WpGSod4K9dvdV0rMK6N7WjeULhtdo3uaeNqSk59VY9D9IysLB2oQpQ1py9up9fll7lrDIJAoKiskrKGbsgOY097TFz8MGmUzCobOe/LGpM3KlhMJCMb7uibw/83i1MfOWZoakZ+VXOO3XBoO63uG7xR0YHHi9QtvJUC/atajbz9qWQzd0Hi6hbVr5OLB822U69GmLvn7lJUxVERdvxLqtzUhIMsTfN5XxwyIwVKMkVEFBESKRCLlcgaGBjMF9mpOXV8i6LRf47evx1YYbKBQilEoqlMIEKJRLkckaf8ZwQeTXnppk3t+y+SQnjl+juFiORCLmx+83IZVKePX1kVoNg+nW3R87ews2/nucceN7am1cTdFU6D+Knp6CtRuO8+1XLVm5rjl6RkUU5coYPPg+L/91RotW1g+NReg/SkGBBKmh6lKJIokShVJ7f8OC2BcQENCUJ1P0V0V1p2bCpkCjRCoRs+XQDQz0pcikEkwM9RCJwMvVinbNHRGJRKRn5bNhXyhJabk8P7otyem5pGXm1aism7GhHkFXYmjtW7NT2EfzCHRq6UKnli4kpuawZtdV3pzWmeJiBaPe+Bd7axN6tv+Io1d9+Pv3k1j+fyKgC1dsmfTheNZ/9W+1wn/8wBb8szeUVs3sK7U3PdOARf+25+RFVyRiBc4O2bw29Rx+nsmVjuvdJBWxvoR/jgcyseeFsusxSZZ8vmEY6374T4OfSO3Rk0kQN+TkXI88e4qKipH9vyiaMK0PS9cF8eKMHojF6iUf/Gt1c/YdcWPejFDcnLM5G2zPkClD+GnBadoEVP47A5j84goiopMYPqgV0feSmTgykO37r7Jx6Ry1hFVgYBrHb7Wgl0/FzZ6tYT35+cWK1xs6gsivPdoor2dqYoidnQULPp/Ku28tIzLyAe0DfbgaEkmr1k21YOVD/tuxgDdeW1wvor82Yv9RjI2L+eLrYJRKKC4WPREbbo1R7JfSo1ccZ5b4YO1b0csi7ZYlAVoo3SeIfQEBgZry9In+6njKNgWycvRYsbklB467o1RCm5aJvDj5Mk52usmerCuMDGW8Nb0LMfEZbDwQxrShJQnIImJS2XQwDIVCibGhHnNGtWXRxosY6Eu5dTeFl77Zy/uzumkcV+3lZsXpkBjuJ2TiYm+mlfdgZ2XMm9M6AyVZ3jsGuNC+eRN+Wt+Wvf/uK1f6J7B1El99dIkfVnfnx9f3VTmusaEe04e1YtG/F3B1MMPawqhce0q6IePfHM3rw/bz7sfbEIuVhMfY8873Y3hj1nl6B1Ysm1nKoo/28tmfPRj8aReau8XxINWcIvT467M9ONhkV9pPF7T0duG7FfqIZZ3wdExlRO9w9PXqOJlVNc8PpVLJnsOhJCZnUVBQzPRxnTAy1MNAX8avS4/ywrTuGBpWvai7cMWWs5fs2bpiX9lpu693OsMHRjHquUHs37Crygz6m5c/z/HTt0hKzeb9lwcy+421PDepCzI1PUFefuEG46dNwt5sEX6OJa6scoWI3048i3tzBU4OudWMUL8IAl97aEPoP0r/ge149ZU/SUnJpH1gM6ZO68ui33fqJPa+eYsmFBXJCblyR+sbCqrQltBXhUhEoxf8jVnslxLQLgmDzFak3bTE0iet7HphtozYHT58vPxojccWxL6AgEBtESmVSrW+KZTxf+ralieHRrIxkJJuyPiXhzPTYyvPNg1CKpYTdN+fb68+x8LPjxLgrbtFii5Jzcjjte/30bKZPW9Nr5hhv7BIzuaDYVy9ncDhc1FMe7YVL00I1Nh9VKFQsnzbZazMDRnUtSnG1Yg1TXnuk+30aDeNdGUgr80NVXnPoLGD2Pf7SrXGUyiU/LjqNO/M7Fru+hvf92dUmzN0bRFZ7npOvh4jvnyJA8vWIRZX/ZjIL5ASE2+GpVk+NpZ1L/qCrrjy9qIBOHguZeTUjkTeMOfgZne+mXuA7m3uaW+iWsbXb94VTPtWTXB3tSY/v4gV/55BIVfQv6cfZy5GkptXhI+XPX26+VQ6xnOv9+Lj1y/h4VZxY27xquZYWRYwbtidam05feEOP/55CA83G35aoFlCy/txxnz0WWuS48RYGmcTl2nDyOExzH8+XKXbf30iiHztom2h/zipqVl8/eU/zJ4ziEMHLzNlWl8sLEx0MteF8zd5753lHD72vU7GB92K/SeBmoj93Gwp2zd4c/qoM0qliMCuDxgx+VadlcSripwsGR++2YXYVD2M3NMpSjVEkWjMp1+fw6+l5nkWBLEPQ9ym1rcJtcbT05P4lFx6TP9La2MeXTYdHy83rl69qrUxBZ5shJN+XaCOMGgAGwOf/tKdT1r+SaDjzbJr3VxDWWH9GfO++Zjdf2+uR+tqjpW5IcsXDGNvUITKJGl6MgmTngnA6YIpnzzfEyNDzWKpSxGLRcwZ3ZasnAJ2HLuFnkzC6H7aS5jXs707xobOIK18IVMhwWUViMUiOrV0YduRcEb28S27HnrLlp+mRFa439igkM6+EVy47kTHgKrrPRvoF+PdpH4SR6WkG/LekgH8uukoh/c8oG2nBNp2SuCZsZG8NbkfW77YoN5GhA4T5pWSn1+Eu6s1AAYGMuZN78Hla/c4fzmaccPaYWiox+VrMew+dI0h/QJUjpGcYqhS8AO0a5XE3iPqlaA8cykKEfDthyM0fh8uTjms/CuIggIxObkyLMxLykDWN4LA1w26FvqPYmVlyjffPcfMaT/y2hujdCb4AQI7+JCeno1cLkci0V7OE0HoV09NT/ZTkgx4d05vxswI5+eVhxGL4cQBV96Y3pcvfj+Jk2vdepg9jrFpEQuXHCcp3pCo2xZY2ebh5Zuu8TiC2BdQh+LiYoKDgytcd3R0xNHRsR4sEmjIqP1NXrqYUqZXvfgXUBN1BYaONgfkchG3bpsR+MzNCm22Rhm46MVy+65VvQm52iKTSRjWy4dDZyNZuf0K7Vs44e9lV+6eXoHuWpnL1FifiYP9OXX5Hjcik/DztC1ry8opoKhYgZW55nkDDPWltPaNYsGyVsyYcKtCe0KSIYZ6mp1s9GjXhKMXosqVCtSXVb74crDIIC2zduUJdc2KXW2YMC8cI5Ni9A1k5OcVYmCoh5FJMRNeDGfZkR689+KV+jaTwsJi9PQqPnL19KQolXD09C2e6etPmwBXrt+Mq3QcI8NiklMMsLHOr9B2J9ocJ/uKGxxB5+/QtcNDF+ak5CzCbj5g0qgOarv1q0JfX4G+vurEVbpGEPi6oy5FvipcHCaRkZHDmvXv6nwu/wAPdu08x/ARFb3CNEEQ+tWjDRf+X79oz1tfnMM34OHapPfge3j5pfHjJx34ecWRWs+hDWwd8rB1yNO4nyD2n1wkxQrs72mvso1YriAlJYV27dpVaPv0009ZsGCB1uYSeDLQ+Jtd1UJL2AjQIZqePqq5SZBfKMVcr/IdcVfjBBJTjRut6C+lXydPAPaeuk1uXhEdAnQnFNo3d+KfvaHlRH9SWi4JKdl0buWq8XhhkUmcCN6KoiiA3QfdGNL/oZt6UZGYNz/uxCsTgjQeNyOroFzywiKFlNx8GUYGRRXuDQr3ZsTwmsch6oxHPhcXozx45YVzALTt6E3w2dt06d0CgDadE1i4xaNeTHyU1LQcLobcpY1/xb+DFj5OtPBxYv3WCygUCsRiMVUFXU0de5NflwXwxbsXyl0vKhLz9z++bF62v0KfHxYdJCYujWEDWrJ2y3lEKElMzuLZAaq9CRoigsjXLfUt9B9l8dJXWbXiADExSbi52VXfoRa8/Mpw3nhtcY1EvyD01UNb8fp5uRLSUgzKCf5SXN2zkOnJSU40wMau4oZoQ0cQ+wI1wdramr1791a4LpzyC6hCK9/ylS3GhM2AekDNTQIjJaQqrJArxEjEFV3EL6f4MLfJcW1bV28M7ubN+j3XdCr6DfSlONgYcyU8vixLvqeLJZ4uljUaLzuvkJy8QhKTX2Hnzo2s3ehFnx5xpKbpc/CYM/PGnKVbDeLVmze1JfjGgzJPh5kjr/DFhqF8PX1buXjsY1e9MTBS4myv46SOtXCrT0nV51qYNfGxJphbpmJjb86ZYw/rIMfHmmBjVX8LwJzcAtZsOoeTgzmGBnp4e1YuYFydLLkfl46bixWKKlT/M33vceCYK+991ZFXZ1/D0T6X4Ks2fPFze16cEYqZacXNm7Yt3Zg0729mTOjMyg1neGteP57p56/S86C+EcR93dCQRP7jjBzVlZh7iSz9aw9ffDVDp3O1D2yGTE/KjbB7+DWvPjRGEPollQJysqWYmhVVGdaj7eR82Zl6WNtVfnru5JJNWophoxL9gtgXqA1SqZS2bdvWtxkCjQSdfusLXgENF5EIhg+PY+mF4bzgv61c26nYACzd9bH1MwOqyUzfAHITqMud+2kkp+ViY2lU/c01ZHA3b35cdZrdJ2/Tt6MHnVq61HisH98YQHGxnFOXY8jN/4k2vm04H+pMU49C3hh1UKN4/kcJuhzDjOGtyv49flAYd+M6M/KrFxnf7TymhvnsudSS9AIzln2+U71B6yAeXhXvfdWJj1++xL9L/PjkfxW9Hv5d4sc7U1QnQdQ1J89GcPd+CjPGd8bAoPq8Ec2a2hFy/T5uLla0buHC6Qt36BJYMau4SAQLvwjiyCln3vuyE2kZ+nh7pvP9J2fw9sxQOfaU0R1o38qN1LQcPN1sCLl+n7HD6n+hIAj8uqMhi3xVvPzqCEYN/4zc3HyMjAx0Nk/4jXtcCb7DczN+5Mz5/1V6nyD2IT1Nj88+bc2NW2YYWRSQlWxI/74PeOPtUKTSko1KXWbht7DOJ/auKUolKhOGRoRb4uhcvzH96iKIfQEBgbqmzlcBgldAw+GlF8J5I7I9c4/7Ma7JPgylBeyO7cldsTerlqvpNq4LsaejjYS5Y9qx++Rt4pKycLE3w83BjJ7t3bU+z8AuTdkXdIe7cRkEeNvVKqu/VCqhV6A7l8MfcOjcaUQicLSxZuvhNAZ388bMRF/jMVs0teVcbD6d2j10e3/n/ShSUuPYsd+d9HwJL70VSwufUMC6xrbrmrw8CQlJRkwYeYdrt6345eNApr1yDStbU+7cLGDDsl7YGRRWW7deV8TEpTFlTEdyc9WLebe3NSPqXkkd5+bNHNm653Kl94pE0Ld7LH27q/fc9Gxig2cTGwA27rjEwRM3CGztrlZfbSEI/LqnsQn9RxGJRHzw0UTOnb1J7z6tqu9QQ3z93IiKWcN7by8rC68pRRD6D8nLkzB5Yk+6zr5Kh1dKnlNKJVze7c6Lz3fh89917xkokylpFZjI/u0eDBoRVa7t7HFH7J1yMDGr6OnUkBDEvmZEZjaADLECAk8IDWZFIGwG1D1iMSz88SIRUWZs3zGIgkIxE6cnENi6nt36dXRqbGcP0/0enpxeCrnH8TuZ9OjsrXG5vqoIsHcgoFsrNvx3kaO3Mxjav/Zx023sHWjTs6TOe/DVeyxedIJjYUn8+d1EjcfqYO/AP9sukJSShaGBHvfjUjExMWDM0LbMnFgxYWBDJT1THwe7kqR1X71zgf3HXPjfux1Jz2pLduYR3J1lzH71Wr3ZZ2djyntfbcPbww5TEwPGDauYbOdR8vIKsbI0BiArO1+rf5OlZOfkE3brAeamujs5FcR9/dGYRb4qAjv4sGzpXnr1bklSUgZ2dhY6mcfMzIhPPpvCvj0X6T6w/nOANET+Xe+J74BoPFqnlF0TiaDt0Gi2h1oTfs1KZay9tpn71mU+ebkHV87ZM3jUHaRSJQd2uHMv0oyv/2y4IYmC2NcMQewLCGifBr9CqGoBKWwIaAcvj0zefDWs+hufMNq1cmPP4VD+XHUCqUTC0P7+ODlYVLgvL6+QH/48xMevD9ZIiOXlFzG4TwstWlxy+tWuVROObn0dseOL/PbVOKRSzbOvTxwZSNC529yOTmbGhC5E3k1myZpT2NmY0K+HLybGuhOF2sLGKp97903KXD0H9rrPwF73AVi7+QJbdj2DWz26evbr4UsbfxesrUxYv/VCtfdfuX6fNv4l4SBWlsZYmBly4Uq0Vk/kN+28zIzxnbl8LabCqaamCOK+/nnSRL4qevduxZxZv+DgYMW1q1G0btOUixdusXvfl1qbI6soCQMLBYePndO56L99M46c7AJcm9hgZKyPgYFMJxt82mbXLheGfanaA7DVM9Hs2+leJ6JfJlPyzeLj3LhqzbF9bsjlIvo8c5eW7ZNUuvzXN4LY1wxB7AsI6I5G/ekSWThX+hIQUIdn+vrz4oyezJnSlR37r6q858KVuySlZCGXaxZDP3VMB/5ac5KvFu7lv71XtGBteY5tfZ3omJTqb6yEu7HpTBvbEShx/35+ajf69fDlv70h2jKxHIWFxRQUaM/1UiZT0L51Elt3e1ZoC7tlgb1dDuZmmpU01DbWViU1xpVVpeP/f1q3cOFiyF3Wb72AUqlkQK/mRN1LIfZButbsUSgU/PjnIVydrbh7X70FuvCMbTgUyKTlXk8DTb2ccHGxZdacQQwa3B5ra1M2bPqg1uNmFSWVvQAkEjEeTe0pLpbXeuzKOBt0ixVLjrJ7xyU+efcfZk/5g6F9v+Z2FSU6GwoKhQiJVPVzTKqnoLiobpeTfi1TmPfOZV56P5hWgQ1P8N/N1hMEvwZEZooFwd/A2LNnD/369cPKygpjY2Patm3Lb7/9hkJRs3xSZ86cYfjw4dja2mJoaEjz5s354osvyM9XnXgzODiYt99+mx49euDm5oahoSHGxsb4+/vz9ttvk5CQUOV8sbGxPP/887i6uqKvr4+bmxtz584lNlb9A+OkpCSsrKwQiURIpY3/O7fxv4NKEDwEBDRBJBLRq0szVm88y9SxHVn571n09aQUFcv56c9DFBQWV1lGTRVSqYRpYzsyZvZShvTzZ82mc0wZ00FrpzrdOjZl6dogvDxKMsLn5hZSLJdjZmpYTU9ITskmLSO3wkmvibEBeflF5OUVYliLXASPcyU0hqNBNzEy1KNTO09atah5gsNHeWXWCUbNgr835NO9QyKd2/tz6GQrgs7Z8vu32wErrcxTG4qK5Gr9zg0N9ZgwIpD/LXtYInHss21ZujaI56d204otfbv7UlyswNhIj10Hr/HyrN6AcGrfUHlahH11fLJgMtMmf49CoWD8xF41foZWF6Pv7mlH7P1UmrjbVnlfVXy9YAvPz++PjW3FJLi+zZ3R05PSNvDhRmVOTgHPTfqdDz4dTau27jWeV1eUJuZr2zmOG6ccadGz4gZF2BFnRg68X9emNUgEoa85gthveHz77be8//77AHh6emJiYkJISAivvPIKhw4dYtu2bRp5Cq5bt47p06cjl8txdnbG1dWV0NBQPvnkE3bu3MmxY8cwMiqfZHvr1q38+OOPSCQSHBwcaNGiBenp6YSHh3P9+nVWrFjBwYMHadOmTYX5wsLC6N69O6mpqZibm+Pv78+dO3dYsmQJW7Zs4dSpU/j6+lZr9+uvv05aWpra77Oh81R+0gQPAdXI5SJ+/bM5/Yf2Y9jwbvQf2o9vfw6gsPDp+DPx9XagTzcfFq8+SbcOTZk0KpDxw9oR4OuEl7sth0+Gazxm7IMMenb2JiMzj95dm/HDooNas1csFtOjkxfL1gWxfH0Qs95Yg0WzNzkadLPKfueCo9h75DrzpndX2T51TEeWrD1FUZH2Tryu3Yhj+MBWzJ3Wg/SMXFZtPMs/2y4QdvNBjcdMTslm60+1D3kAACaESURBVJ7zHN0iY8Fb3qRnjuOPFVkUF6/mjRcOEXL9ttbs1xSlUsm/2y+y8t8z/Lv9IgN7+anV7/rNONLSc7l8LQalUolIJMLW2oSs7NqXoBJZOOMR0BIzO0c69+7E2asJwnOvAfH4Kb4g+B8iFotxdLLm2eGdiYqKJz3dkq++sCTAbyHLlsgpLla9CfDoab46SfkcnSxJT81R2657d5NY+MOuspOvtNRs0tNz2LbpHH/+uo/N/5xmzd/H2PTPaZb8cZCVy44SfqP8oYOxsT4z5/Thh6+3885rq9XyCtI18bnFZa9Sxk69xel1vqTFl1+YR1+xJvm2JYHdGk8lH10gnOxrjnC63zA5c+YMH3zwAWKxmPXr13Pnzh1CQkIIDg7G3t6eHTt28PPPP6s9XnR0NLNmzUIul/P9998TExNDcHAwt2/fxsfHhwsXLvDOO+9U6NezZ0+2bt1Kamoq9+/f5+LFi0RERHDnzh369OlDSkoKU6dOrdBPLpczduxYUlNTGT16NHFxcVy6dInY2FhGjRpFSkoK48ePr9Zj4dChQ6xbt45hw4ap/V4bOiKlut8w+Tt0bErj4En1ElAq4bkXu9HJ9CzTOxxBKlGgUIjYeLkrO2L6sWHFsSrr8T7pZOfks2bzeWZP6opMplkM/Y79V0lKycLZwYLU9FwmjQrUun2l8dnZOfms3XyeQX1a4O5qXeGef7ZdxLOJDZ3bV3SJf5TsnHz2HL5ebfI5dYh9kM6Js7eZOLLi+1698SxdAj3LvBXURaFQ8MeK48yf2VPlbnNichabdwbTrWNTWjbXjleBumRm5bF60zlGD2nD5Wv3cHe1obmPo0ZjXA27z5FTt3hldi8ys/I5df6OWgkh1RHwodfvUlws5+0PVrJ3+6c1ygkhUHsEUa8Za9ccxsralA/fO0FTj99ITZnPay9NJfZBB7bvdmTRkmt4eubVKuP+3egkEuMzCOzkpXafNSuOc+LIdea82J/UlGwMjfRwcrZk7coT+Ld0QywSoVQqMbc0xsTEgM0bTjN5es9yp/0Ahw9cZeXSo/g2d+aFlwdibWNa4/dRU1SV28vLlZCeaoCldT5JCUZ8+UFHJMZFWDln8+C2BbYWhXz0zdkGnzVfFwgiv2ZoKvRf9p+sI0vqDk9PT5ISshnV/yetjblx73y8fdy5elV1aGpNGTJkCHv27OH555/nr7/+Kte2fv16Jk+ejLW1NQ8ePEAmq74c8fz581m0aBEDBgxg//795dpOnz5N165dkclkxMTEYG9vr5aNiYmJODg4oFQquXXrFt7e3mVtmzZtYty4cVhbWxMVFYWp6cNnaVZWFh4eHqSkpLB161ZGjhypcvz8/HwCAgLIzs5m3759tG7dGolEQnGx7kqS1gXCquMRIu4Ys/B3D6LuGiOXi+gYmMbLL0RhY/MwLri6RXVj3RQ4e8ke64L7zBpwqOyaWKxkQrtTRKfZs++IC8/0e3rd90yMDZgyugP/W36UPl19aBPgqnbfZwcEsOG/i3h72pGZlc8n3+9k7tTuODtaaM2+UuFrYmzA3GndWb3pHEaGetj9/8IxISmTTTuDGT+sHbZqLCZNjA0oLq5Z3NbjXLgSXWlCw6ljO3Lk1E2Onb5N3+4+GBrI2HskjIKCIjq39+DO3WS83G3x93UqJ+5X/nuWyaM6VOpeZmdjyosze3L4ZDg7D1zl2QEttfJequPGrQcEXYhk7tTuyGQSHO1rVrmhZXMXbt5JJD+/GAtzIx4kZADaccMXiUQsXraPEc92ZNv2s4wd3bXWYwpUjyDya8eUqX0ZPXIFGem5hIX1Y2D/NgwbaoG+fhSjhz9gxrwANuw8UKvY7otnIxjwTGuN+kyd2RPvZo7s23UZAyMZxcUKBg5uzUefj0Gm4nfu6maDvaN5het9B7SkU9dmLP5tP3t3BdPC35U21WzOagNVQh8gI12PnxYEkhBvhLVjLon3TfD0ymDhsqOkpxqQnGCIi3soltbqlSR9khDEfs0QTvUbPpmZmRw6VKIDZs2aVaF97NixzJs3j5SUFI4ePcqAAQOqHE+pVLJt27ZKx+vSpQu+vr6Eh4ezfft2nn/+ebXstLOzw9LSktTUVHJzc8u1bd26FYBx48aVE/wApqamjB07lsWLF7Np06ZKRf+XX35JREQE69atw9y84vO6sSJ8Av+f8xctePH1AGY8H8vWnZf4b/dFOvVIY+zU9sTFqV8LvarQgYbsSrtxkxvT2qt2PZ8eeJiNm9zq2KKGh6mJAW++0I/cvEL+2XZB7cR+IpGIiSMDaepuS5sAV/y8HbD+/9JsukAkEjFldIeycISDx29w/Mxt5s/sqZbg1xYKhYIroTHEJ2aWiVZVtvbt7susSSUVBC6G3GP6uI48N7ELDxIyGdLXH4BVG8+VvZ/dh67Rqa1HWXm7qujb3RdfLwf+Wn1Sq+EKqth35DrRManMnqy5N0gpjz4ncjFCbOmEyMKZPoN7sHzbde7eTUQur937kEjEdO3sx9zZg/h79aHqOwhojOCqrxvuRvnhaJ/OO6+PxMbalDXrS/JfuLrm06VjOqdPqXdKVBWmZtXnRHmcTl2b8cFno5k1tx8ffDqadh2aqhT8AC5u1pW2Lfn9IHoyKb36+JOaqtvKI4+77z9KYYGYN2f1odvoSD5Ydpy5X1zg4xVHadEzljdn98beKYeAdslPneAXXPhrhuDG33i4fPkyhYWFGBgY0LZt2wrtMpmMwMASr81z585VO969e/d48KAkjLNrV9UHDKXX1RmvlFu3bpGamoqpqWm5U36As2fP1mq+Gzdu8MMPP9C7d28mTZqktk2NAeFTSIlr+8ef+7LmnysEtMwCSkqA9embyg8/3+CTL6tP9qAJDXFjIC9PjJlBnso2M4M88vKERWspXTs0pX8PP35bfowzFyM1jsF8pq8/Py3WrdgqLpYz+cUVjJ29BBdHC8YNa1fnZaF+WXIEiUTM3Gnd8WtWtXt7qfgf2j8AsViMnp6UQX1aoK8vo2VzF2ZO6IydjSkrN5zBzMRQI3d5b087Jo0K5N/tF2v7liolIzOPS1fvMahP80rv0fRz7+nuwPKVB4mJScKrqSPTJvcm5n4ym7YEsWL1IcJv1szzxtfHhYSEdI4cu6pxRQqBiggCv27IKkrCrclcLp7+nrlzBvH5J5NJTHq4mdipfQa3bljUao7axNNLpRKNXfLz8ws5eexhudxxk7rg5m7L6VPhHDsUWmNbKkNVrL4qDuxwJ3DAPXzalK8O07pbAh4BqZw97qR12xoygtivGYLYb3zcvl2SC8nNza3SbPWenp7l7lVnPH19fZycVD83NBkvOTmZHTt2lMXZf/PNN+USABYWFnLv3r1y41Y2X3R0NEVF5cOSlEolc+fORalU8scff1RrT2ND7dWJqoWMflHjjm0oJfymCV7NcrCwqPh+AlpmERNriFwOkjoMfVVX+GsrnKB792T2nm/PnC4HKrTtud6OHt1rHif5JGJjbcL8mT0JDY9jwY+7cXawoG93H5qqkfXZ3MwQ8xqcJmnCe1/9R/8evpw8F4GFuVH1HSqhNJlcTbA0N8Lf10lrmw0Bfs4E+NVsQ8zEWB+5QrsJsqJjTNl1uMQDZsjwQp5/0YZ/D1xl4vgeWhm/R/cWdO/WnF17LhB0NpwJY7vTrevDTYXdey9y7sItmrjZEtCiCdbWFbOFV8bMaX1Zsfowri42xMam4OxsXX0nAUBw068rVMXmyxWQny/GwKBks8rlkb/byGhD7Jx0Xydem+jpSbl25S7de5V8rtPTczkbdAtPL3t6q5HDQx2qE/iqOLKvCbM+P6+yrduzdzm0uhldejf8MoO1QRD5NUcQ+qopLMqhsCgXPVnN12Sl5BdkUSQvIDk5GRcXzfMWvfHGG7zxxhsVrpdmqre0tKy0b2mbOlntS++xsLCodC1Y3XhXrlypkKG/devW7Ny5k6FDh5a7npGRUZagr7L3UHpdoVCQmZmJtfXD75Hly5dz8uRJ3nvvPfz81EvA3Jio1erlSdkISEuT4eBYuZuamVkx+fkSjI116x5cEzT1Cqhsk2DMsCgGr+xH32ZX8LRJLLsel27J0otD+O+dY7Ux84lEJpPQJsCV1v4uKBRKVv57Bgc7M4yNqg8HaeZpx+3IRFwcLbRaGg9KTvn3Hg7lwL+vUlQsx+b/a8VrSs/O3qzdfB6JRIxIBE3dbWnp54yBQfWJWwB8veyJvJus1kaIrtl/NIx+3TXz2KnssyWXw/w3W5CUAb2fvYNIBO984YmlsSd9e1zn8LEQ+vZqpQ2zEYlEPDukA+s3HK/QNmRwexQKBfHxaZw+G058QjqjR3TGyqr600ZrazPs7MwJ8G/C5m2nefWlZ7Vi75OGIPDrluqS8A169i7LV7sw//mSkxy5XEFBQRFKpT6b/3Nk/Q7tJrTSNWKxmBdfG1z27/gHaRgZ6zPnxf61GrcmQv9RlEoqTdwrFis1Ll/bmBDEfs0RxH7lTJ06lc8//5yzISvp3m5erQ5DlEolpy8vRS4vxN/fn4MHNa8KlZmZqfJ6fn5JpSA9vco/B/r6JWvcvDzV3sHaHs/ExISuXbuiVCqJi4sjJiaG0NBQVq9eTZcuXbCyeliauXS+quYsne/xOZOSknj33Xdxc3Pj448/rva9NUa0vqKpbJHUkDcD/Hyz+W6ht8q2oiIRqSkyjIwanuCvCZUJGQNg9YY7zJ/7Oo7S+7S0i+BmahNup7vy1x/nMTN9+jLzqotIJEIiETFuWDtW/nuWedO7V1u/tE83Hz7+bgcjBrcmL7+IrOx8rSWbW/nvWc7sfhdLi9rtJjs7WjB1bEegZEf0TnQyS9edYuKIQGysq95IkMsVRN1LoVWLus2cXxmp6bm4+KlOJqgpX37vhWuLOF6afKvsWs+BMeze6MW1GzOY3voYR45dpU8v7SUPTE3NYs26ozg6WtK7ZwBnz9+kdUtPjI0NcHKyxsnJGrlczrbtZykoKEIkEmFlZYqNtSk2Nma4ONtUyNLf1MORdRuOCaf8COK+vohLSeevRb6cOmWHRKLExqaAl14JI6CV6hOfCVMjeHl2d3KyPXn+uXsY6Ovx3Y+XOXtpPi+/cwV9/ZqHq8THpWFiqlsPrKq4FnKXuPupNPV2qFH/2gr9R+nZP4ZTu90YMOFOhbag3W706h+jtbkaCoLYrzmC2K+ejz/+mKNHj3Ly5EkcbVvg3aRnjccKjzzA/YQrDBo0iL59+xIWFlZ9p8cwM1PtGWhgYACUuMlXRkFBySGpoWH1z0ttjOfl5cWpU6fK/h0TE8Obb77Jpk2bCA8PJzg4uCwUoXS+quYsne/xOV9//XVSU1NZvnx5uZCBJ4k6W+k0ZK8AS8siXJ1y2bvblsFDyp80/PyjB+PHxNYqI3BjwdU1nx17Qgm/acKdyOb0cM0jwD8cMPn/l2Y01koGNcXUxIB+3X1Zs/k808d1qvJepRKautvh5+3AzFdX4+hgoRXRHxGViK+Xfa0F/+OIxWK8Pe1wtDdTq5TfwqVH6NnJWy2vB02oab4LkVGEVuYvLBRx+IQlf2w+U6HtmbERvDzOm0/edWX7znN0aO+NiYl2RMSLLzyDWCzm3PmbfPvjFsaM7ML+g5fJzSvA092eLp39kEgkjBlVkqBGoVCQkZFLckomcXGpnDl7k2K5HFMTQ4YNLal60KWzL2vWH6Wo8MnY0FQXQeDXL6Wn+RnpMqZO6MWA6Td4d8Z1xGKIv2fCgs/a8sLzt+k/qOL3h1Sq5PflJ9m705WZ81tQUNCS5OSvmfvyCnr1rV0uHD19GfpqejFpm4KCIlYuPcqMOb25dUN9t3ltCv1HGTwyihcmDMCrZQqezdPLrt+4aMPNi3a8+kaITuatawShXzsEsa8+UqmUdevW4dXUj/PX1mBr5YWFqebPrJT0KC5d34ChvjmrVq3Czs6Ot956S2t2quO6r04IwOPjpaenVxouqsl4AK6urmzYsIFbt24REhLChg0bmDJlCgDm5uaIxWIUCkWl76H0ulgsLtv8OH78OOvWrWPIkCGMGDFCLTsaI/W6+mlIXgE/fhPG3JdbsuM/e4YOSyQ/X8TmjU74+2UyZ+a9OrenPvH1ycbXp/aZg7WZkLCxbCD4eNlz5XoMubmFGBlVvqAoLCrGxFifDf9don9Pv2o3CdTFxFif3LzKd1RrP74ByanZFBfLq6zv7mhnTvvWTcr+3VCrVmhK3AMD3L3TVW4CikTg6ZvGvRhDXn5xKNu2n9VafH+p50jHDj50CGyGSCTCp1mJF8X6Dcfp0tmvwv2WliZYWprg7eVU1p6UlMHSvw/g1dSR62H3GNCvDbFx5ZN1PUkIAr/+qcxlf+FP/gx5PpTW3RLKrjm4ZfP6r6f4elYfeveLQyqt6EcukSgZOuIeQ0eUfC9/9uFdViw5ys5tpvTs24IpM3rWyHX20P4QHBzVW3RqG319GT/9PoP1q09SWFC1V52uhH45ewzk/LTsKN991JGsbBn2blnERZlhb5/LT0uPIpE0bv9+QezXDkHs1wxXV1c2blrHiBEjOHFxEc/0+BSpRP2/xaKiPE5cXIRCqWDn7i3Y2dlp3cbSTPj37t2juLhYZTK/yMjIcveqM15BQQFxcXE4O1dcC2oyXilisZhBgwYREhJCcHBwmejX09PDzc2N6OhoIiMj6dy5c6Xzubu7I5OVbPRevnwZgFOnTuHgUN7bqrRiklwuL2v79ddfGT9+vNr2NhQa5IqoqoWarjYEDAwUrFp6hVu3jTl8zAY9PQV//nIVe/val6QpKhIRfdcIY6NinJyerhI32qI+RGNNNxqe7d+S7ftDmDgysNJ7jI302XMolISkTNb/+ZzW4vqLixVIJKq/kG/dScDd1Rp9uyYq29VlwtShrN55joAWTegQ2KxCu0KhQGxs1aCEvr6+jPz8QgwMavdzNjcrJjW58tP7lAQjLC2KKCwsxsTEoNL7asPjgkYTgWNra87c2YOIiUmiY2AzTEwMWffPMS1bWPcI4r7hUF1cfikXL9rw4UsVT4xl+goCuj7gzCl7uveKr3actz8czoPYNFJSsnhz/kqWLTrEsrUv4u2jWYb5//24m+8WTq32vtokNwVITsrE2sZU5RgTp3ZTWUGgLoT+41jZ5PPd4uNkpOuRkmiInUMuJmaNN8xPEPq1RxD7tWf48OG8/PLL/Pbbb1wMXU+nVjPU7nvu6iqychL44IMP6Nu3r07sa9OmDTKZjPz8fIKDg+nQoUO59qKiIi5cuABAx44dqx3Pzc0NBwcH4uPjCQoKYty4cRXuCQoKUnu8RykuLi7331I6duxIdHQ0QUFBTJ48WaP5MjIyyMhQXWIaICGhZJNanXwGDZFG9wlWVR5Jmwu+Zt45zJtzl1nTY2ot+JVK+OU3TwYN78RvSz14/7PmPDOyI+cvWmjHWAGdok6JNVUvYycPQiIyUJo5Vnnfy6+OpXO3Vth4+nAxIrfs/ohkUY3ntmrixSc/7Wf5tuvlritMHZj8ylqUZuqXuqsMa2szZs3oT2JSBmfP3SzXlpWVyx+L9zCwf5tKetcPlpYmpKXV3nvF0rIIGRLiYiqGu8THGqEskmFjU4iZmRFxDxpuJnFXV1tMTAxRKBQ0pjM7XT//BTQnqyip3EtdpDJ5pWFzZtZ5ZKSrJ9KMjPRp6u1Ah07enLz0Feu2vM62TerXewY4cTSMrj18aRvYtNp77YxmEh5Wc8+z/XuusHLpUZVtIpGozKtH3fJ6usbcohDPZhmNVvAL5fZqj1B6T7t8//33WJq7cSv6CHfjLqjV5869U0TeP02XLl1YsGCBzmwzMzOjX79+QEkm+8fZtGlTWcb7Xr16VTueSCRi5MiRlY53+vRpwsPDkclkZWX41KG4uJjdu3cDJZn8H2XUqFEAbNy4kaysrHJtWVlZbNq0CYAxY8aUXX/ttddQKpUqX1FRUQBIJJKyazNmzFDb1obEE/MprmwxWJ8Lwi++bUaBUsLuAxf44edwlvx9jb/XhPDJl75cD9Osnm91yOVw/KQ127Y7EH23/pIRCZSwbOVBYmKSq7ynQ2Az/Js3ITe3gAuXbpOengPAa28vIysrt0bzGhsbYGZmxJr1xzC0HEvI1ShOn7nBF99s5IXZg2p90v0oQ58JRCaT8O2Pm1m/4Th79l1k7T/HeWHOILUyyNcVRUXFhFyNws7OXCvj/fjlTT5/uSeXztijVJZs7l0+Z8eC+b358cuHmyA9u/uzZv1REhPTtTKvLjh0JITePbRTGkybNLRnucBDairyH0cmgZxM1TH04RfsCWhds00zFzdrAjt5c+P6fbXuT0/LITE+nV59/dXyuDp56Sua+dZ883Ty9B5Mmak67KehCP3GTqnQF8R+7dBE7EdetuHvd7vw+4s9+WN+T87854m8+ClIhlUDDAwMOHPuAFKJPmeuLCc7t+q1YkbWA85dXYWezIj169eXuaTrig8//BCRSMSyZcv4559/yq6HhISUlfl75513ymXHX7hwIe7u7kyYMKHCeG+//TZ6enocOHCAH374ocyb6e7duzz33HMAzJ49u4Jb/YwZMzh//nwF76fr168zfPhwwsPDcXBwKCfeAUaPHo2vry8pKSnMnDmT3NyS9XROTg4zZ84kJSUFf3//Jzp2vzJESlW+ZCookO/RtS31gq7CBTIypEx6rh1bd1yq0BYdbchXn3qxetllrcy196ANn//QlOad4zCzyePWRQeMRVKW/3YNU9OnK0lXQ8HaeQoXg37Cw92+yvtycwtY9FfJybh/iyaIRCIuXrpNi+ZuGBrWLgnenn0XeeXNpbRo7kZgO28kEjEBLZow9JnKww40Zcu207Rt0xQPd3uysnIxNW1YGU/T0rJZ+88xZkzto1Xb4uP1WfhnEy5eLkkC07ZVFq/Ni64QvnP/fjJ/LtvHxLHd8W9Ru7CKyli/4TiTJtQsE/D6f48zaXzNswjXBkHENw5qI+yrYv8eZzbtcGH2ZxfKnfiHXbAhaFMzlq08VXlnNfjo7fV89u2ESsOdStn130V69fNXOxznxNEwuvfyq5WL/6NUJ/CvXopk58YzdOvjT8+B2ikF+qQiiPzaU5MT/dNbPLl23o7A2dcwtc+luEDCjd0epIXaMePb00hU5ObQhJf9K7poPwmsWrWKGTNmYGvpxcBuHyAWV/xOlMsL2XPyc9Iy7rFly5ayU2xd89VXX/HRRx8B4OnpiYmJCaGhoSgUCoYMGcL27duRSB7mdVqwYAGfffYZPXv25NixYxXGW716NTNnzkShUODs7IydnR2hoaEUFRXRrl07jh8/jrGxcbk+pc9YU1NTPD09kUqlxMbGkpCQgFKpxM7Ojl27dhEYWHFNGxoaSo8ePUhLS8Pc3BwvLy8iIiLIyMjAysqKkydP0rx5c7V+FtHR0Xh4eCCRSCqEEjQ2npiT/pqiKw+BE6esGThI9WLJ3T2PpGTtZDW/es2M7xa58s6yQ4yaH0q/8Xd48YcgOowNY8pc7ZUME9AM76YOnDh1vdr7jIz0mT2zP2v/OV7mGdC+nXetBT/AM4Pac/zA19jamHPqdBgW5kZcuRpVlpSktlwLjcbGxqxsY6OhCX6A7Ow8HB0stW6bg0MB3352i0M7LnJox0W+/+KmynwdEomY/LxC4uN15+qfnZPH9p1nNe53PeweHk2q3pSqLQ3RA0ugarR1kl8dA5+JpWPrdL6e1ZvDmz04d9CFJR934Ng6X375n2bu+aoY/Gwbbt6o3g0/NSWb/LxCFi3cq9a4gZ28amWXQqHgXlqeWif6SqWS6NvxmJgasubPg1y/El2ruZ9EhFN97VBTF/6cdD3O73ej9/vnMLUvOVGV6ssJGBWBuW8yl/ZpvtmtVMKZbR78NLkvP0zorXH/xsK0adOYMmUKSWkRhIRvU3nPpev/kpZxj3nz5tWZ4IeS0/6dO3fSp08fUlJSiIiIICAggIULF1YQ/Oowbdo0Tp48ydChQ8nLyyMsLAxPT08WLFjAqVOnKgh+KNkomD59Oq6ursTExBASEkJhYSFdunThq6++Ijw8XKXgB/D39yckJITZs2djYmLCtWvXMDExYc6cOYSEhKgt+J80nvqT/tpQlZfArj323LlvzAvzVWf+HzGkPXv/03yh/jhT5rSk55wrOLlnVWhb/klHPnsplgD/im0CuqVVh1c5e/x7tcV7cnImJ4OuM3J4xUyjtSUtLZude85zKfgOoWF3OXLsGh+9N44vPq3d7vm6f44xeWIv7RipI1JSMlm34TivzH+23mwoKipm4+ZTiMUi/Ju74eRkjbW16hq5NeFScASRUQmMHd1V7T5KpZK/lu3jhTmDaz2/IOAbL7oU9eqSmSFj3x4XcrJldOqSiF+LdK2N/cu3O5k+pxdW1pWHGy38fieuTWzo3NUHJxcrrc39OKUC/88fdjJ0bCdc3W3V7nv2+A3sHC1Y/MNO9A1kPPfKYNw87ar1YnhSEQS+9qhtrP7JjV5k6xfg1btiOE1hrpQTX3dm3v9OaDTm9l9aEntLgkvAHSRSBfv+N7xWNjZksrKycHb0Jisnkf5d3sHRtkVZW8yDYI6eX4iFmStx8TcrrWMvIKAuT+c3hpao6hSrY+8MDuxX/aUeGWmIvV2+VmyIS9RTKfgBAnre58Rp3S1iBFRTXFyMuZlRlSXtHsfGxoxr1+9S9P8bSW+/v0Jr9lhamjBtch9+/WkOh/Z8QVzkClycrVmx+hDhN+/zoAEnnKstBw5dYfbMAfVqg0wmZfLEXrQM8EAkFnPg0BV+/3N3rcdVKpVs2hJETm6BRoIfYNeeCwwe0E7t+4UT+yeDujrF1wQz8yLGTYxi5pxbWhX8mRm5bN92njlTF7Hm72MV4kKVSiUhwdGEXb/P3egkrQv+R+PzHz3Rn/f2sxoJfoBOPf3wbObI90ufZ/r8AWxYfoQ5I39ELldo1eaGjnCirz20lZwvO10fYxvV61k9o2IUGsb1pycYEnHRgiZtbiORPvl/36amphw7sQexSMypS4vJK8gEICcvhaDLS5FK9Dh9dr8g+AW0giD6dYSZWTGduqTz7ddNUTzy3EpOlvHKfH9efydKK/PI5aJy4z9KToYeJsaNO/6kMXLrdhwymQSZhoKoR7cWhN8s2S1/5w3duHGJRCIcHa2YO3sQM6b25dCREJw8Z5KWlq2x27+2Ylp1yfBnO7L07wMqy2BVR15eAYrKPlxqci00mlVrj7B+w3GCr9wh7EYMickZjB/TrVbjZmaWVEno0smXHt1aVN/hERIS0ikoKKJJk4c1fqsS9YKwb5w8LvAbisivK1JTs/nmpynMmNOXa1fvcfXyXQoKioiPS+O1eX/TpfX79Ou6gOSkLF59a6hW5lQl8mOiEtmx4TRRt+PJzyus9Rxevs68/+0kJszuw8cvrSA9tfZVSRoy6rjvy4tFXDnlwPEd7sTc1p4X1ZOItjPxu/mm8SBE9SZW6l0zzO00K212+YArVm41r47RGGnbti0//fwjeQUZBAUvQaEo5uSlxRQW5bD4r0X4+fnVt4kCTwiNwr1foYA9u23Z8I8DOTlSWrXOYs7zMTg7N+ya90olLP3Lja1bHGjmk0N6uoy8XDEffXKbVq3Vc7mvLtHgF983pdglkQ79yrtWKZXw3ew+7FwTgoWFIPzrkufm/o/WrTx45UXNXMoVCgW//r6T118ZzvWwe7Ro7qYjCx9yKTiC9f+eQCwWIZGI6drZj2eHdKi+I7B63RGmTe6jYwtrT0JCOpu3BTFudDdsbVVn8D96/Crx8ell/1YqlZiaGpKZmYsSMDLUp0e3FtjYqL+g3H8wGGMjA7p11U7s2NFjV/H2ciIxKYPgK3eYPqWPWhtLj4v29euOMGFir7LSYE8yCgWcOW1JQoI+LVpk4eObU98m6YynTdSrw5YNZ4CSz7OtvTknj93Aq5kDw0YFIi9W4Gk/j1fe+huxKBD3ppkMHx2FiYlm35fVxeXH3kvmdth9TMyMCA2OYsZLAyvck5dbQFZGHtZ2Zhq57Aefvc3v3/zHsm1vPlGfZ01O86+ccmDj7wG07RmHtUMuNy7akp5swPxvzmFu1bDXiHWFLsvtKeQi/vd8b7q/ew4zh4dVh+TFIg5/1oURL4bi7JOu9nj7l/iReD8XK5eUsmtPsnt/KUqlkmHDhrFr1y6szd1JyYhmwoQJrF+/vlEcsAg0DtQ+wnl0QWEq08w1rTbI5fDcjACa+iTz5U9BWFkXcPqUPXNmteLDj6Lo2i29zmzRFJEInn/hHrPm3CM21gAjIzk2NprVuq3ulO2Fl2MZOaoVBkZFBHROQCSC3CwZ//7SmpEDUwTBXw9E303E2cla435isZhnBrXjs682cPVaNP36tGLiuO5YWFSsCa8t2rX1wtfHheFjv8LTw4FNW4NISExXyyXeydGK2NgUnJ01f691ib29BfOeH8zSvw8wd/agCu1nz93kyLGrfPLBhEpFdE5OPpu2BtGrhz/uaia/u3otWiuhBUqlkv/9sYNWLT25GhqNvZ1F2bg1OYVXKnmiBEJlnDltzscfe9Gq4wMcXTPZsc+B7FQTFv15Azu72p+41ieCwFeP0RPK50jp2afEK6agoIheHX6ibbuddGjniK9vGldDTJk+tj9vfhhMl24JlY6paTk9Zzcbgs/epteg1twMjUGpVJZbxC/5aRd5uYXI5QoUCgVvfT5O7bHbdvJG30D2xHyeNXXdv3/HjO1/+/HpyiPoG5R4qvUeGUVkmCUL3+zCJ38f5WnWS7oU+6WIJUqmfn6OtZ92xK5lIvb+yWQnGHHnkDu9xt/WSPAD+HZJ4Nb/mpYT/U8DIpGIFStW4ObajJSMaEyM7Fi8eLEg+AW0iton/QICAgICAgICAgICAgLa5/jx4wwcOJATJ07QoYN6XpcCAuoiiH4BAQEBAQEBAQEBAYF6Jiws7KktKSegWwTRLyAgICAgICAgICAgICDwhPJkBIIJCAgICAgICAgICAgICAhUQBD9AgICAgICAgICAgICAgJPKILoFxAQEBAQEBAQEBAQEBB4QhFEv4CAgICAgICAgICAgIDAE4og+gUEBAQEBAQEBAQEBAQEnlAE0S8gICAgICAgICAgICAg8IQiiH4BAQEBAQEBAQEBAQEBgSeU/wO70ADj9E3bBgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1000x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "an.plotting()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "054d43e2-3fd8-4373-a42a-5e96608aabe6",
   "metadata": {},
   "source": [
    "## Save/load paired data -- netCDF\n",
    "\n",
    "And compare to the original pair object."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "53eb8ff2-d9f2-4405-9c98-25be370ac2f3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Writing: ./output/idealized\\asdf_test_obs_test_model.nc4\n",
      "Reading:  ./output/idealized\\asdf_test_obs_test_model.nc4\n"
     ]
    },
    {
     "data": {
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       "\n",
       ".xr-attrs dt,\n",
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       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
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       "\n",
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       "\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:         (time: 9, x: 500)\n",
       "Coordinates:\n",
       "  * time            (time) datetime64[ns] 2019-09-09 ... 2019-09-10\n",
       "  * x               (x) int32 0 1 2 3 4 5 6 7 ... 493 494 495 496 497 498 499\n",
       "Data variables:\n",
       "    something_vlen  (time, x) object &#x27;xicjs&#x27; &#x27;cvoaglq&#x27; ... &#x27;dzzfatw&#x27; &#x27;poqhzl&#x27;\n",
       "    A_obs           (time, x) float64 0.21 0.1793 0.1735 ... 0.462 0.118 0.6552\n",
       "    B_obs           (time, x) float64 -0.1099 -0.2269 0.05157 ... 0.1155 0.6365\n",
       "    A               (time, x) float64 0.008033 0.001784 0.2917 ... 0.5939 0.5151\n",
       "    B               (time, x) float64 0.008033 0.001784 0.2917 ... 0.5939 0.5151\n",
       "    latitude        (x) float64 33.73 57.93 48.74 43.14 ... 21.26 58.92 59.42\n",
       "    longitude       (x) float64 -90.49 -106.9 -129.7 ... -147.2 -65.03 -116.0\n",
       "    siteid          (x) object &#x27;000&#x27; &#x27;001&#x27; &#x27;002&#x27; &#x27;003&#x27; ... &#x27;497&#x27; &#x27;498&#x27; &#x27;499&#x27;</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-e869e7e9-2e5e-412d-a8d6-87915dfa2a08' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e869e7e9-2e5e-412d-a8d6-87915dfa2a08' 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>: 9</li><li><span class='xr-has-index'>x</span>: 500</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-bd73787d-f7d4-4a13-9ef2-e21fc62b85bd' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bd73787d-f7d4-4a13-9ef2-e21fc62b85bd' class='xr-section-summary' >Coordinates: <span>(2)</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'>2019-09-09 ... 2019-09-10</div><input id='attrs-1234cba0-e8ef-4da8-a16f-15888f54d294' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1234cba0-e8ef-4da8-a16f-15888f54d294' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-113edb6e-5c2f-4f8b-99e8-38f1ed75d873' class='xr-var-data-in' type='checkbox'><label for='data-113edb6e-5c2f-4f8b-99e8-38f1ed75d873' 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;2019-09-09T00:00:00.000000000&#x27;, &#x27;2019-09-09T03:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-09T06:00:00.000000000&#x27;, &#x27;2019-09-09T09:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-09T12:00:00.000000000&#x27;, &#x27;2019-09-09T15:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-09T18:00:00.000000000&#x27;, &#x27;2019-09-09T21:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-10T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 495 496 497 498 499</div><input id='attrs-be5a1b83-e36b-4942-896a-2302e46727a1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-be5a1b83-e36b-4942-896a-2302e46727a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-27b9e0f8-04a2-4f26-bc04-55793512c763' class='xr-var-data-in' type='checkbox'><label for='data-27b9e0f8-04a2-4f26-bc04-55793512c763' 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([  0,   1,   2, ..., 497, 498, 499])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-acc160d6-ec9f-4eb2-be55-ee0c38ea171a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-acc160d6-ec9f-4eb2-be55-ee0c38ea171a' class='xr-section-summary' >Data variables: <span>(8)</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>something_vlen</span></div><div class='xr-var-dims'>(time, x)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;xicjs&#x27; &#x27;cvoaglq&#x27; ... &#x27;poqhzl&#x27;</div><input id='attrs-72c10c4e-9b49-43c5-b399-693869c02adf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-72c10c4e-9b49-43c5-b399-693869c02adf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-22d664d0-d926-4904-8778-91f179eb020f' class='xr-var-data-in' type='checkbox'><label for='data-22d664d0-d926-4904-8778-91f179eb020f' 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;xicjs&#x27;, &#x27;cvoaglq&#x27;, &#x27;uzxt&#x27;, ..., &#x27;txky&#x27;, &#x27;dzzfatw&#x27;, &#x27;poqhzl&#x27;],\n",
       "       [&#x27;xicjs&#x27;, &#x27;cvoaglq&#x27;, &#x27;uzxt&#x27;, ..., &#x27;txky&#x27;, &#x27;dzzfatw&#x27;, &#x27;poqhzl&#x27;],\n",
       "       [&#x27;xicjs&#x27;, &#x27;cvoaglq&#x27;, &#x27;uzxt&#x27;, ..., &#x27;txky&#x27;, &#x27;dzzfatw&#x27;, &#x27;poqhzl&#x27;],\n",
       "       ...,\n",
       "       [&#x27;xicjs&#x27;, &#x27;cvoaglq&#x27;, &#x27;uzxt&#x27;, ..., &#x27;txky&#x27;, &#x27;dzzfatw&#x27;, &#x27;poqhzl&#x27;],\n",
       "       [&#x27;xicjs&#x27;, &#x27;cvoaglq&#x27;, &#x27;uzxt&#x27;, ..., &#x27;txky&#x27;, &#x27;dzzfatw&#x27;, &#x27;poqhzl&#x27;],\n",
       "       [&#x27;xicjs&#x27;, &#x27;cvoaglq&#x27;, &#x27;uzxt&#x27;, ..., &#x27;txky&#x27;, &#x27;dzzfatw&#x27;, &#x27;poqhzl&#x27;]],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>A_obs</span></div><div class='xr-var-dims'>(time, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.21 0.1793 0.1735 ... 0.118 0.6552</div><input id='attrs-8d97d0aa-ad2c-4fa1-bbd4-1826be43eb9d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8d97d0aa-ad2c-4fa1-bbd4-1826be43eb9d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b4c8a0a-fe1b-456a-89ac-5270420ac10f' class='xr-var-data-in' type='checkbox'><label for='data-3b4c8a0a-fe1b-456a-89ac-5270420ac10f' 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([[ 0.2099829 ,  0.17932443,  0.17347036, ..., -0.12949567,\n",
       "         0.08897279,  0.14119392],\n",
       "       [ 0.17102405,  0.12774713,  0.99824079, ..., -0.06171873,\n",
       "        -0.02654822,  0.02262378],\n",
       "       [-0.17473203,  0.579746  ,  0.60981294, ..., -0.06527422,\n",
       "         0.18617832, -0.07258142],\n",
       "       ...,\n",
       "       [ 1.05766824,  0.67393084,  0.16254305, ...,  0.40402354,\n",
       "         0.15613566,  0.71384242],\n",
       "       [ 1.00803703,  0.67053081,  0.38867713, ..., -0.12198812,\n",
       "         0.58402152,  0.32845322],\n",
       "       [ 1.52438056,  0.61830325,  0.36847432, ...,  0.46203647,\n",
       "         0.11798536,  0.65523887]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_obs</span></div><div class='xr-var-dims'>(time, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.1099 -0.2269 ... 0.1155 0.6365</div><input id='attrs-4cdab4ca-5af7-49c5-9d18-14f29b678934' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4cdab4ca-5af7-49c5-9d18-14f29b678934' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-16236360-7cdd-4fc5-aa7b-fd1302a3313a' class='xr-var-data-in' type='checkbox'><label for='data-16236360-7cdd-4fc5-aa7b-fd1302a3313a' 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([[-0.10989016, -0.22694519,  0.05157348, ...,  0.40731178,\n",
       "        -0.02230347, -0.05312695],\n",
       "       [ 0.28953523,  0.06414867,  0.37113096, ...,  0.18021661,\n",
       "         0.32210091, -0.22212487],\n",
       "       [ 0.63422636,  0.34256539,  1.15302726, ...,  0.20891579,\n",
       "        -0.07465604,  0.29321073],\n",
       "       ...,\n",
       "       [ 0.85043225,  0.33023562,  0.61674924, ..., -0.05094311,\n",
       "         0.4755864 ,  0.14349633],\n",
       "       [ 0.70597131,  0.49890699,  0.30775787, ...,  0.85768501,\n",
       "         0.85791648,  0.5244066 ],\n",
       "       [ 0.86426596,  0.1492836 ,  0.70229604, ...,  0.6228601 ,\n",
       "         0.11553596,  0.63650216]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>A</span></div><div class='xr-var-dims'>(time, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.008033 0.001784 ... 0.5939 0.5151</div><input id='attrs-50c32a86-416d-4e43-8de3-ffe8e574283d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-50c32a86-416d-4e43-8de3-ffe8e574283d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-39cb789f-cd2a-4ba5-820c-57bc010e5aeb' class='xr-var-data-in' type='checkbox'><label for='data-39cb789f-cd2a-4ba5-820c-57bc010e5aeb' 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([[8.03320269e-03, 1.78360465e-03, 2.91693966e-01, ...,\n",
       "        1.50652861e-02, 1.39718746e-07, 2.03380397e-03],\n",
       "       [1.11157102e-01, 3.45078971e-02, 5.02580022e-01, ...,\n",
       "        6.34841648e-02, 2.37030689e-04, 3.21133634e-02],\n",
       "       [3.43372816e-01, 1.31914391e-01, 6.10459770e-01, ...,\n",
       "        1.26774586e-01, 7.56835618e-03, 1.13757398e-01],\n",
       "       ...,\n",
       "       [9.39209194e-01, 5.40042571e-01, 6.43731023e-01, ...,\n",
       "        2.95250770e-01, 3.83594490e-01, 4.50186690e-01],\n",
       "       [9.62152081e-01, 5.83207511e-01, 6.29051795e-01, ...,\n",
       "        3.15534677e-01, 4.99024582e-01, 4.89129706e-01],\n",
       "       [9.63492520e-01, 6.10032030e-01, 6.13994732e-01, ...,\n",
       "        3.30805131e-01, 5.93908740e-01, 5.15131073e-01]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B</span></div><div class='xr-var-dims'>(time, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.008033 0.001784 ... 0.5939 0.5151</div><input id='attrs-61f9b3a1-4b0f-4f7c-a1d3-64cd9c051e5a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-61f9b3a1-4b0f-4f7c-a1d3-64cd9c051e5a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bddac886-37fa-48f3-90c4-ee6dac055e44' class='xr-var-data-in' type='checkbox'><label for='data-bddac886-37fa-48f3-90c4-ee6dac055e44' 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([[8.03320269e-03, 1.78360465e-03, 2.91693966e-01, ...,\n",
       "        1.50652861e-02, 1.39718746e-07, 2.03380397e-03],\n",
       "       [1.11157102e-01, 3.45078971e-02, 5.02580022e-01, ...,\n",
       "        6.34841648e-02, 2.37030689e-04, 3.21133634e-02],\n",
       "       [3.43372816e-01, 1.31914391e-01, 6.10459770e-01, ...,\n",
       "        1.26774586e-01, 7.56835618e-03, 1.13757398e-01],\n",
       "       ...,\n",
       "       [9.39209194e-01, 5.40042571e-01, 6.43731023e-01, ...,\n",
       "        2.95250770e-01, 3.83594490e-01, 4.50186690e-01],\n",
       "       [9.62152081e-01, 5.83207511e-01, 6.29051795e-01, ...,\n",
       "        3.15534677e-01, 4.99024582e-01, 4.89129706e-01],\n",
       "       [9.63492520e-01, 6.10032030e-01, 6.13994732e-01, ...,\n",
       "        3.30805131e-01, 5.93908740e-01, 5.15131073e-01]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>33.73 57.93 48.74 ... 58.92 59.42</div><input id='attrs-fc31d8d6-7656-4dc8-affa-930f879f162b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fc31d8d6-7656-4dc8-affa-930f879f162b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-546e63d1-4267-4bd2-98a7-0a8f87da7898' class='xr-var-data-in' type='checkbox'><label for='data-546e63d1-4267-4bd2-98a7-0a8f87da7898' 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([33.73068499, 57.93000087, 48.74374556, 43.14365634, 24.5527829 ,\n",
       "       24.55176985, 20.43951171, 54.37939812, 43.24683049, 47.73904827,\n",
       "       18.86454876, 58.73621379, 52.96259091, 26.91824265, 25.63664862,\n",
       "       25.70298941, 30.7781742 , 40.03977013, 36.14169078, 30.23162389,\n",
       "       43.69782158, 23.85874215, 30.27007524, 33.38719742, 37.15493934,\n",
       "       50.97739038, 26.38629885, 39.59784641, 42.88141189, 19.95091733,\n",
       "       43.51688378, 25.16201319, 20.73216691, 57.85319256, 58.55654539,\n",
       "       51.95268862, 30.79377831, 22.10222879, 46.73778711, 36.48640474,\n",
       "       23.12560586, 38.79743022, 19.44431789, 56.19145689, 28.86875923,\n",
       "       45.82593594, 31.0918652 , 39.84285689, 40.96183173, 25.76388713,\n",
       "       58.72255437, 50.55557858, 57.45895555, 55.58274872, 43.11179911,\n",
       "       56.71871787, 21.71668509, 26.23128022, 19.89954613, 31.66387389,\n",
       "       34.32444617, 29.39665933, 52.80697538, 32.98363972, 29.79924941,\n",
       "       40.79323549, 23.91881745, 51.69227319, 21.13112703, 59.44925134,\n",
       "       50.43428031, 26.34605862, 18.23192892, 52.24938   , 47.68800844,\n",
       "       48.61830106, 50.39335456, 21.10987537, 33.0555606 , 22.8665005 ,\n",
       "       54.25034389, 44.17852133, 31.89771704, 20.66945071, 31.06125751,\n",
       "       31.65769953, 48.64345949, 44.7774138 , 55.26293519, 37.83302686,\n",
       "       23.02295833, 47.95628106, 49.95297204, 41.5736423 , 50.38062156,\n",
       "       38.73941505, 39.95477883, 35.95672277, 19.06760332, 22.53143993,\n",
       "...\n",
       "       22.33120249, 55.90722208, 39.22059964, 52.71121358, 31.44208324,\n",
       "       55.6119756 , 34.34647051, 18.45518136, 56.02604301, 21.83404043,\n",
       "       31.41117278, 57.90260262, 57.92550017, 42.0843913 , 44.53716291,\n",
       "       36.83471192, 30.31485241, 31.80391091, 46.24577516, 49.59973024,\n",
       "       51.24631984, 51.163962  , 21.83065633, 38.7656528 , 20.41746792,\n",
       "       41.08021306, 36.54428106, 55.28357568, 32.73843053, 22.91681469,\n",
       "       24.00565065, 49.98344653, 43.96515866, 22.2471524 , 21.53248586,\n",
       "       47.44070352, 21.05604627, 52.51812249, 47.66217354, 21.41664879,\n",
       "       21.56318399, 59.4388623 , 33.71937342, 33.56697018, 52.13758182,\n",
       "       57.78444025, 59.41204468, 49.64188378, 33.80290259, 21.5070301 ,\n",
       "       50.64017047, 41.45297849, 35.81732439, 56.06688417, 22.67029426,\n",
       "       38.69025438, 18.47685308, 37.68374696, 20.36473758, 22.99035248,\n",
       "       22.93610236, 45.26683269, 49.33388493, 42.50148813, 58.41124704,\n",
       "       33.74456434, 29.99990762, 54.48116338, 27.39102522, 58.45534666,\n",
       "       18.51048794, 58.73491072, 19.8127163 , 55.42801078, 40.16344658,\n",
       "       59.70452144, 21.09945572, 41.26187994, 58.7107065 , 39.97010946,\n",
       "       44.4347428 , 47.22144494, 37.09072472, 44.35743936, 42.5412011 ,\n",
       "       55.84863644, 19.90874797, 29.80045396, 57.91728233, 55.39107892,\n",
       "       37.13758362, 44.04556911, 29.65000969, 25.90108871, 37.47533301,\n",
       "       32.84079358, 42.5135567 , 21.26485475, 58.92458192, 59.42085127])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.49 -106.9 ... -65.03 -116.0</div><input id='attrs-61aceb3e-6821-467b-86ee-65f09c2cb331' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-61aceb3e-6821-467b-86ee-65f09c2cb331' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6ef6851-9689-4ccb-ac52-34d90e004da2' class='xr-var-data-in' type='checkbox'><label for='data-f6ef6851-9689-4ccb-ac52-34d90e004da2' 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([ -90.48566688, -106.854267  , -129.73771076,  -78.80670301,\n",
       "        -91.84215157, -144.57568913,  -68.99635437,  -77.92373846,\n",
       "        -65.07020876,  -87.70232965,  -99.04506521, -118.75745333,\n",
       "        -66.79442318,  -73.52754716, -156.43291432, -158.33693558,\n",
       "       -122.97719995,  -79.13411359,  -61.28511094, -145.807894  ,\n",
       "       -100.99279775, -122.53002348,  -63.03864582,  -75.94598876,\n",
       "        -76.32880082, -113.66199086, -119.10323026, -133.38588573,\n",
       "       -155.30607484,  -73.66304   ,  -78.89699808,  -60.028515  ,\n",
       "        -60.33967946, -104.90139773,  -83.33227107,  -65.57866128,\n",
       "        -75.18561354, -136.01784172, -115.49504233, -147.95489907,\n",
       "        -64.64084625,  -99.77636192, -137.90707664,  -93.15823088,\n",
       "        -98.56904771, -124.82556548, -149.53068319,  -93.17110725,\n",
       "       -108.44892221,  -82.99584243, -108.46348639,  -74.92966847,\n",
       "       -105.25740928, -104.34526487,  -72.45798613, -120.24823051,\n",
       "       -147.46446193, -158.09294969,  -84.73113718,  -98.34873531,\n",
       "        -89.88794342, -139.49061969, -147.22648097, -159.53098877,\n",
       "       -125.59065656, -101.41831363, -121.38335144, -116.81503288,\n",
       "        -69.67997186, -125.82619783, -109.08706159,  -81.85104571,\n",
       "       -120.94917899,  -98.16924328,  -73.90126542,  -65.09841701,\n",
       "       -146.14557843,  -67.41464986, -111.2962544 , -134.91731678,\n",
       "...\n",
       "        -73.28473443, -111.76944898,  -70.65022508,  -80.21461915,\n",
       "       -118.05343605, -158.73059986, -133.8635867 , -106.29494432,\n",
       "        -97.0186998 , -134.95334377, -146.92503652,  -76.67204608,\n",
       "        -61.57537975, -107.90529159, -143.66039213, -133.49696002,\n",
       "       -159.14254167,  -68.65582054, -149.10714063, -102.77183597,\n",
       "       -133.32042271, -105.02802175,  -95.20654078,  -77.19607783,\n",
       "       -140.15145155, -159.88942131, -147.17455136,  -70.09811717,\n",
       "        -72.73710217, -100.66127668, -100.3477971 ,  -93.83129587,\n",
       "       -143.28750086,  -68.64439346, -118.70417699, -122.30300865,\n",
       "       -108.58931177, -156.25643736, -144.20537976,  -86.45860474,\n",
       "       -152.63733454, -100.08163694, -136.21973992, -121.68114298,\n",
       "       -131.84193259, -125.07705564,  -88.37636358, -130.99070672,\n",
       "       -103.79313133, -112.91890938,  -93.9692123 ,  -66.38019633,\n",
       "        -87.01021818, -139.29102176, -157.85050336, -134.51133153,\n",
       "       -100.897129  , -155.80599284, -110.86700903, -100.71887226,\n",
       "       -127.24136703,  -83.13786742, -150.23357643, -153.41108404,\n",
       "        -87.45293562, -110.95537706,  -91.47135796, -117.0824388 ,\n",
       "       -136.11339464,  -78.27066591,  -80.25899622,  -90.83565644,\n",
       "       -133.51334114, -101.38670265, -124.54163641, -151.75021059,\n",
       "        -68.35132888, -147.18131828,  -65.02602726, -115.95341693])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>siteid</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;000&#x27; &#x27;001&#x27; &#x27;002&#x27; ... &#x27;498&#x27; &#x27;499&#x27;</div><input id='attrs-4f2b1483-845e-444a-bfdc-c216e5e761bf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4f2b1483-845e-444a-bfdc-c216e5e761bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e9a1723-d2fa-44df-af9d-58f6a51710ff' class='xr-var-data-in' type='checkbox'><label for='data-2e9a1723-d2fa-44df-af9d-58f6a51710ff' 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;000&#x27;, &#x27;001&#x27;, &#x27;002&#x27;, &#x27;003&#x27;, &#x27;004&#x27;, &#x27;005&#x27;, &#x27;006&#x27;, &#x27;007&#x27;, &#x27;008&#x27;,\n",
       "       &#x27;009&#x27;, &#x27;010&#x27;, &#x27;011&#x27;, &#x27;012&#x27;, &#x27;013&#x27;, &#x27;014&#x27;, &#x27;015&#x27;, &#x27;016&#x27;, &#x27;017&#x27;,\n",
       "       &#x27;018&#x27;, &#x27;019&#x27;, &#x27;020&#x27;, &#x27;021&#x27;, &#x27;022&#x27;, &#x27;023&#x27;, &#x27;024&#x27;, &#x27;025&#x27;, &#x27;026&#x27;,\n",
       "       &#x27;027&#x27;, &#x27;028&#x27;, &#x27;029&#x27;, &#x27;030&#x27;, &#x27;031&#x27;, &#x27;032&#x27;, &#x27;033&#x27;, &#x27;034&#x27;, &#x27;035&#x27;,\n",
       "       &#x27;036&#x27;, &#x27;037&#x27;, &#x27;038&#x27;, &#x27;039&#x27;, &#x27;040&#x27;, &#x27;041&#x27;, &#x27;042&#x27;, &#x27;043&#x27;, &#x27;044&#x27;,\n",
       "       &#x27;045&#x27;, &#x27;046&#x27;, &#x27;047&#x27;, &#x27;048&#x27;, &#x27;049&#x27;, &#x27;050&#x27;, &#x27;051&#x27;, &#x27;052&#x27;, &#x27;053&#x27;,\n",
       "       &#x27;054&#x27;, &#x27;055&#x27;, &#x27;056&#x27;, &#x27;057&#x27;, &#x27;058&#x27;, &#x27;059&#x27;, &#x27;060&#x27;, &#x27;061&#x27;, &#x27;062&#x27;,\n",
       "       &#x27;063&#x27;, &#x27;064&#x27;, &#x27;065&#x27;, &#x27;066&#x27;, &#x27;067&#x27;, &#x27;068&#x27;, &#x27;069&#x27;, &#x27;070&#x27;, &#x27;071&#x27;,\n",
       "       &#x27;072&#x27;, &#x27;073&#x27;, &#x27;074&#x27;, &#x27;075&#x27;, &#x27;076&#x27;, &#x27;077&#x27;, &#x27;078&#x27;, &#x27;079&#x27;, &#x27;080&#x27;,\n",
       "       &#x27;081&#x27;, &#x27;082&#x27;, &#x27;083&#x27;, &#x27;084&#x27;, &#x27;085&#x27;, &#x27;086&#x27;, &#x27;087&#x27;, &#x27;088&#x27;, &#x27;089&#x27;,\n",
       "       &#x27;090&#x27;, &#x27;091&#x27;, &#x27;092&#x27;, &#x27;093&#x27;, &#x27;094&#x27;, &#x27;095&#x27;, &#x27;096&#x27;, &#x27;097&#x27;, &#x27;098&#x27;,\n",
       "       &#x27;099&#x27;, &#x27;100&#x27;, &#x27;101&#x27;, &#x27;102&#x27;, &#x27;103&#x27;, &#x27;104&#x27;, &#x27;105&#x27;, &#x27;106&#x27;, &#x27;107&#x27;,\n",
       "       &#x27;108&#x27;, &#x27;109&#x27;, &#x27;110&#x27;, &#x27;111&#x27;, &#x27;112&#x27;, &#x27;113&#x27;, &#x27;114&#x27;, &#x27;115&#x27;, &#x27;116&#x27;,\n",
       "       &#x27;117&#x27;, &#x27;118&#x27;, &#x27;119&#x27;, &#x27;120&#x27;, &#x27;121&#x27;, &#x27;122&#x27;, &#x27;123&#x27;, &#x27;124&#x27;, &#x27;125&#x27;,\n",
       "       &#x27;126&#x27;, &#x27;127&#x27;, &#x27;128&#x27;, &#x27;129&#x27;, &#x27;130&#x27;, &#x27;131&#x27;, &#x27;132&#x27;, &#x27;133&#x27;, &#x27;134&#x27;,\n",
       "       &#x27;135&#x27;, &#x27;136&#x27;, &#x27;137&#x27;, &#x27;138&#x27;, &#x27;139&#x27;, &#x27;140&#x27;, &#x27;141&#x27;, &#x27;142&#x27;, &#x27;143&#x27;,\n",
       "       &#x27;144&#x27;, &#x27;145&#x27;, &#x27;146&#x27;, &#x27;147&#x27;, &#x27;148&#x27;, &#x27;149&#x27;, &#x27;150&#x27;, &#x27;151&#x27;, &#x27;152&#x27;,\n",
       "       &#x27;153&#x27;, &#x27;154&#x27;, &#x27;155&#x27;, &#x27;156&#x27;, &#x27;157&#x27;, &#x27;158&#x27;, &#x27;159&#x27;, &#x27;160&#x27;, &#x27;161&#x27;,\n",
       "       &#x27;162&#x27;, &#x27;163&#x27;, &#x27;164&#x27;, &#x27;165&#x27;, &#x27;166&#x27;, &#x27;167&#x27;, &#x27;168&#x27;, &#x27;169&#x27;, &#x27;170&#x27;,\n",
       "       &#x27;171&#x27;, &#x27;172&#x27;, &#x27;173&#x27;, &#x27;174&#x27;, &#x27;175&#x27;, &#x27;176&#x27;, &#x27;177&#x27;, &#x27;178&#x27;, &#x27;179&#x27;,\n",
       "...\n",
       "       &#x27;324&#x27;, &#x27;325&#x27;, &#x27;326&#x27;, &#x27;327&#x27;, &#x27;328&#x27;, &#x27;329&#x27;, &#x27;330&#x27;, &#x27;331&#x27;, &#x27;332&#x27;,\n",
       "       &#x27;333&#x27;, &#x27;334&#x27;, &#x27;335&#x27;, &#x27;336&#x27;, &#x27;337&#x27;, &#x27;338&#x27;, &#x27;339&#x27;, &#x27;340&#x27;, &#x27;341&#x27;,\n",
       "       &#x27;342&#x27;, &#x27;343&#x27;, &#x27;344&#x27;, &#x27;345&#x27;, &#x27;346&#x27;, &#x27;347&#x27;, &#x27;348&#x27;, &#x27;349&#x27;, &#x27;350&#x27;,\n",
       "       &#x27;351&#x27;, &#x27;352&#x27;, &#x27;353&#x27;, &#x27;354&#x27;, &#x27;355&#x27;, &#x27;356&#x27;, &#x27;357&#x27;, &#x27;358&#x27;, &#x27;359&#x27;,\n",
       "       &#x27;360&#x27;, &#x27;361&#x27;, &#x27;362&#x27;, &#x27;363&#x27;, &#x27;364&#x27;, &#x27;365&#x27;, &#x27;366&#x27;, &#x27;367&#x27;, &#x27;368&#x27;,\n",
       "       &#x27;369&#x27;, &#x27;370&#x27;, &#x27;371&#x27;, &#x27;372&#x27;, &#x27;373&#x27;, &#x27;374&#x27;, &#x27;375&#x27;, &#x27;376&#x27;, &#x27;377&#x27;,\n",
       "       &#x27;378&#x27;, &#x27;379&#x27;, &#x27;380&#x27;, &#x27;381&#x27;, &#x27;382&#x27;, &#x27;383&#x27;, &#x27;384&#x27;, &#x27;385&#x27;, &#x27;386&#x27;,\n",
       "       &#x27;387&#x27;, &#x27;388&#x27;, &#x27;389&#x27;, &#x27;390&#x27;, &#x27;391&#x27;, &#x27;392&#x27;, &#x27;393&#x27;, &#x27;394&#x27;, &#x27;395&#x27;,\n",
       "       &#x27;396&#x27;, &#x27;397&#x27;, &#x27;398&#x27;, &#x27;399&#x27;, &#x27;400&#x27;, &#x27;401&#x27;, &#x27;402&#x27;, &#x27;403&#x27;, &#x27;404&#x27;,\n",
       "       &#x27;405&#x27;, &#x27;406&#x27;, &#x27;407&#x27;, &#x27;408&#x27;, &#x27;409&#x27;, &#x27;410&#x27;, &#x27;411&#x27;, &#x27;412&#x27;, &#x27;413&#x27;,\n",
       "       &#x27;414&#x27;, &#x27;415&#x27;, &#x27;416&#x27;, &#x27;417&#x27;, &#x27;418&#x27;, &#x27;419&#x27;, &#x27;420&#x27;, &#x27;421&#x27;, &#x27;422&#x27;,\n",
       "       &#x27;423&#x27;, &#x27;424&#x27;, &#x27;425&#x27;, &#x27;426&#x27;, &#x27;427&#x27;, &#x27;428&#x27;, &#x27;429&#x27;, &#x27;430&#x27;, &#x27;431&#x27;,\n",
       "       &#x27;432&#x27;, &#x27;433&#x27;, &#x27;434&#x27;, &#x27;435&#x27;, &#x27;436&#x27;, &#x27;437&#x27;, &#x27;438&#x27;, &#x27;439&#x27;, &#x27;440&#x27;,\n",
       "       &#x27;441&#x27;, &#x27;442&#x27;, &#x27;443&#x27;, &#x27;444&#x27;, &#x27;445&#x27;, &#x27;446&#x27;, &#x27;447&#x27;, &#x27;448&#x27;, &#x27;449&#x27;,\n",
       "       &#x27;450&#x27;, &#x27;451&#x27;, &#x27;452&#x27;, &#x27;453&#x27;, &#x27;454&#x27;, &#x27;455&#x27;, &#x27;456&#x27;, &#x27;457&#x27;, &#x27;458&#x27;,\n",
       "       &#x27;459&#x27;, &#x27;460&#x27;, &#x27;461&#x27;, &#x27;462&#x27;, &#x27;463&#x27;, &#x27;464&#x27;, &#x27;465&#x27;, &#x27;466&#x27;, &#x27;467&#x27;,\n",
       "       &#x27;468&#x27;, &#x27;469&#x27;, &#x27;470&#x27;, &#x27;471&#x27;, &#x27;472&#x27;, &#x27;473&#x27;, &#x27;474&#x27;, &#x27;475&#x27;, &#x27;476&#x27;,\n",
       "       &#x27;477&#x27;, &#x27;478&#x27;, &#x27;479&#x27;, &#x27;480&#x27;, &#x27;481&#x27;, &#x27;482&#x27;, &#x27;483&#x27;, &#x27;484&#x27;, &#x27;485&#x27;,\n",
       "       &#x27;486&#x27;, &#x27;487&#x27;, &#x27;488&#x27;, &#x27;489&#x27;, &#x27;490&#x27;, &#x27;491&#x27;, &#x27;492&#x27;, &#x27;493&#x27;, &#x27;494&#x27;,\n",
       "       &#x27;495&#x27;, &#x27;496&#x27;, &#x27;497&#x27;, &#x27;498&#x27;, &#x27;499&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-804f7573-069f-449b-99aa-1f9d7de3d9ea' class='xr-section-summary-in' type='checkbox'  ><label for='section-804f7573-069f-449b-99aa-1f9d7de3d9ea' class='xr-section-summary' >Indexes: <span>(2)</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-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-227e6ed2-7cd3-41c4-9fe2-35329583a6b8' class='xr-index-data-in' type='checkbox'/><label for='index-227e6ed2-7cd3-41c4-9fe2-35329583a6b8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2019-09-09 00:00:00&#x27;, &#x27;2019-09-09 03:00:00&#x27;,\n",
       "               &#x27;2019-09-09 06:00:00&#x27;, &#x27;2019-09-09 09:00:00&#x27;,\n",
       "               &#x27;2019-09-09 12:00:00&#x27;, &#x27;2019-09-09 15:00:00&#x27;,\n",
       "               &#x27;2019-09-09 18:00:00&#x27;, &#x27;2019-09-09 21:00:00&#x27;,\n",
       "               &#x27;2019-09-10 00:00:00&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-feaeaaf7-b5ad-4934-9330-63d817ab03d2' class='xr-index-data-in' type='checkbox'/><label for='index-feaeaaf7-b5ad-4934-9330-63d817ab03d2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Int64Index([  0,   1,   2,   3,   4,   5,   6,   7,   8,   9,\n",
       "            ...\n",
       "            490, 491, 492, 493, 494, 495, 496, 497, 498, 499],\n",
       "           dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;, length=500))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-435d2602-254d-4b87-9b90-ac97ccbc94d4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-435d2602-254d-4b87-9b90-ac97ccbc94d4' 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>"
      ],
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       "<xarray.Dataset>\n",
       "Dimensions:         (time: 9, x: 500)\n",
       "Coordinates:\n",
       "  * time            (time) datetime64[ns] 2019-09-09 ... 2019-09-10\n",
       "  * x               (x) int32 0 1 2 3 4 5 6 7 ... 493 494 495 496 497 498 499\n",
       "Data variables:\n",
       "    something_vlen  (time, x) object 'xicjs' 'cvoaglq' ... 'dzzfatw' 'poqhzl'\n",
       "    A_obs           (time, x) float64 0.21 0.1793 0.1735 ... 0.462 0.118 0.6552\n",
       "    B_obs           (time, x) float64 -0.1099 -0.2269 0.05157 ... 0.1155 0.6365\n",
       "    A               (time, x) float64 0.008033 0.001784 0.2917 ... 0.5939 0.5151\n",
       "    B               (time, x) float64 0.008033 0.001784 0.2917 ... 0.5939 0.5151\n",
       "    latitude        (x) float64 33.73 57.93 48.74 43.14 ... 21.26 58.92 59.42\n",
       "    longitude       (x) float64 -90.49 -106.9 -129.7 ... -147.2 -65.03 -116.0\n",
       "    siteid          (x) object '000' '001' '002' '003' ... '497' '498' '499'"
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       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:         (time: 9, x: 500)\n",
       "Coordinates:\n",
       "  * time            (time) datetime64[ns] 2019-09-09 ... 2019-09-10\n",
       "  * x               (x) int32 0 1 2 3 4 5 6 7 ... 493 494 495 496 497 498 499\n",
       "Data variables:\n",
       "    something_vlen  (time, x) object ...\n",
       "    A_obs           (time, x) float64 ...\n",
       "    B_obs           (time, x) float64 ...\n",
       "    A               (time, x) float64 ...\n",
       "    B               (time, x) float64 ...\n",
       "    latitude        (x) float64 ...\n",
       "    longitude       (x) float64 ...\n",
       "    siteid          (x) object ...\n",
       "Attributes:\n",
       "    title:         \n",
       "    format:        NetCDF-4\n",
       "    date_created:  2023-02-27\n",
       "    dict_json:     {\\n    &quot;type&quot;: &quot;pt_sfc&quot;,\\n    &quot;radius_of_influence&quot;: 10000...\n",
       "    group_name:    test_obs_test_model</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-55ce1218-5a64-4412-85ec-b12798abba8f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-55ce1218-5a64-4412-85ec-b12798abba8f' 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>: 9</li><li><span class='xr-has-index'>x</span>: 500</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-e0f68ce6-cf44-4bec-b794-881d023c28d0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e0f68ce6-cf44-4bec-b794-881d023c28d0' class='xr-section-summary' >Coordinates: <span>(2)</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'>2019-09-09 ... 2019-09-10</div><input id='attrs-8ae37a8c-85cd-47f7-95f5-632b7bff48c4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8ae37a8c-85cd-47f7-95f5-632b7bff48c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cef5a5e7-f31a-4103-b960-66b0aad2ab45' class='xr-var-data-in' type='checkbox'><label for='data-cef5a5e7-f31a-4103-b960-66b0aad2ab45' 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;2019-09-09T00:00:00.000000000&#x27;, &#x27;2019-09-09T03:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-09T06:00:00.000000000&#x27;, &#x27;2019-09-09T09:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-09T12:00:00.000000000&#x27;, &#x27;2019-09-09T15:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-09T18:00:00.000000000&#x27;, &#x27;2019-09-09T21:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-10T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 495 496 497 498 499</div><input id='attrs-531c420a-1011-454b-bc16-ceac2ce688cf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-531c420a-1011-454b-bc16-ceac2ce688cf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d12398f-28e4-4a54-aaa2-a47a7d1bdf9f' class='xr-var-data-in' type='checkbox'><label for='data-3d12398f-28e4-4a54-aaa2-a47a7d1bdf9f' 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([  0,   1,   2, ..., 497, 498, 499])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-93981520-74cb-4ace-a1d3-a9d3f56143fa' class='xr-section-summary-in' type='checkbox'  checked><label for='section-93981520-74cb-4ace-a1d3-a9d3f56143fa' class='xr-section-summary' >Data variables: <span>(8)</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>something_vlen</span></div><div class='xr-var-dims'>(time, x)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-93ba8311-56db-4b7f-872e-b6bdf955c15f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-93ba8311-56db-4b7f-872e-b6bdf955c15f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1cdb1eca-6877-489c-9a97-bfc26130ab5e' class='xr-var-data-in' type='checkbox'><label for='data-1cdb1eca-6877-489c-9a97-bfc26130ab5e' 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>[4500 values with dtype=object]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>A_obs</span></div><div class='xr-var-dims'>(time, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-191cdc01-5f58-462b-9a2a-52552938c9c0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-191cdc01-5f58-462b-9a2a-52552938c9c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3699e25c-234c-40d9-a5b8-4f29e26fb6bd' class='xr-var-data-in' type='checkbox'><label for='data-3699e25c-234c-40d9-a5b8-4f29e26fb6bd' 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>[4500 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_obs</span></div><div class='xr-var-dims'>(time, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-eef8da88-4d6d-4b0f-9e03-29f91da6459e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-eef8da88-4d6d-4b0f-9e03-29f91da6459e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-14209f56-4051-4911-b8eb-5807d74693de' class='xr-var-data-in' type='checkbox'><label for='data-14209f56-4051-4911-b8eb-5807d74693de' 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>[4500 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>A</span></div><div class='xr-var-dims'>(time, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-42986c21-99c6-4c31-8445-5acb4f0142ef' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-42986c21-99c6-4c31-8445-5acb4f0142ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e706ee0c-9fa5-4c12-ab5a-9129003c507d' class='xr-var-data-in' type='checkbox'><label for='data-e706ee0c-9fa5-4c12-ab5a-9129003c507d' 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>[4500 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B</span></div><div class='xr-var-dims'>(time, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cd63a413-981f-4f2d-9830-bf900d9b8eff' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cd63a413-981f-4f2d-9830-bf900d9b8eff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-89b4702b-f9c7-4ded-9cc2-f0c36d1db603' class='xr-var-data-in' type='checkbox'><label for='data-89b4702b-f9c7-4ded-9cc2-f0c36d1db603' 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>[4500 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-89ccd04b-5860-4a22-a286-2e61df970b4c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-89ccd04b-5860-4a22-a286-2e61df970b4c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5cdc6bf9-de94-4633-96a1-c5d06ef310e0' class='xr-var-data-in' type='checkbox'><label for='data-5cdc6bf9-de94-4633-96a1-c5d06ef310e0' 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>[500 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2cde9185-3abc-4d86-9cb2-1a6f93cbe4cf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2cde9185-3abc-4d86-9cb2-1a6f93cbe4cf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b894f5d-9945-4656-9d3a-19c7b4d12e8b' class='xr-var-data-in' type='checkbox'><label for='data-9b894f5d-9945-4656-9d3a-19c7b4d12e8b' 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>[500 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>siteid</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-433524c0-7490-4649-8ace-6ad61a2739d4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-433524c0-7490-4649-8ace-6ad61a2739d4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ebc2c21e-1842-4242-9ee0-6b654b77e949' class='xr-var-data-in' type='checkbox'><label for='data-ebc2c21e-1842-4242-9ee0-6b654b77e949' 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>[500 values with dtype=object]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-572d2d34-a4bc-411b-b82e-630877cf3fbe' class='xr-section-summary-in' type='checkbox'  ><label for='section-572d2d34-a4bc-411b-b82e-630877cf3fbe' class='xr-section-summary' >Indexes: <span>(2)</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-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-adefb7a6-1047-48c4-8081-c9971d21a00e' class='xr-index-data-in' type='checkbox'/><label for='index-adefb7a6-1047-48c4-8081-c9971d21a00e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2019-09-09 00:00:00&#x27;, &#x27;2019-09-09 03:00:00&#x27;,\n",
       "               &#x27;2019-09-09 06:00:00&#x27;, &#x27;2019-09-09 09:00:00&#x27;,\n",
       "               &#x27;2019-09-09 12:00:00&#x27;, &#x27;2019-09-09 15:00:00&#x27;,\n",
       "               &#x27;2019-09-09 18:00:00&#x27;, &#x27;2019-09-09 21:00:00&#x27;,\n",
       "               &#x27;2019-09-10 00:00:00&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-df3db659-65d8-45a8-82ea-1695a549cccc' class='xr-index-data-in' type='checkbox'/><label for='index-df3db659-65d8-45a8-82ea-1695a549cccc' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Int64Index([  0,   1,   2,   3,   4,   5,   6,   7,   8,   9,\n",
       "            ...\n",
       "            490, 491, 492, 493, 494, 495, 496, 497, 498, 499],\n",
       "           dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;, length=500))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b9bf7dcf-b7f8-4e0c-a3b1-b96e1a7bc06f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b9bf7dcf-b7f8-4e0c-a3b1-b96e1a7bc06f' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>title :</span></dt><dd></dd><dt><span>format :</span></dt><dd>NetCDF-4</dd><dt><span>date_created :</span></dt><dd>2023-02-27</dd><dt><span>dict_json :</span></dt><dd>{\n",
       "    &quot;type&quot;: &quot;pt_sfc&quot;,\n",
       "    &quot;radius_of_influence&quot;: 1000000.0,\n",
       "    &quot;obs&quot;: &quot;test_obs&quot;,\n",
       "    &quot;model&quot;: &quot;test_model&quot;,\n",
       "    &quot;model_vars&quot;: [\n",
       "        &quot;A&quot;,\n",
       "        &quot;B&quot;\n",
       "    ],\n",
       "    &quot;obs_vars&quot;: [\n",
       "        &quot;A_obs&quot;,\n",
       "        &quot;B_obs&quot;\n",
       "    ],\n",
       "    &quot;filename&quot;: &quot;test_obs_test_model.nc&quot;\n",
       "}</dd><dt><span>group_name :</span></dt><dd>test_obs_test_model</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:         (time: 9, x: 500)\n",
       "Coordinates:\n",
       "  * time            (time) datetime64[ns] 2019-09-09 ... 2019-09-10\n",
       "  * x               (x) int32 0 1 2 3 4 5 6 7 ... 493 494 495 496 497 498 499\n",
       "Data variables:\n",
       "    something_vlen  (time, x) object ...\n",
       "    A_obs           (time, x) float64 ...\n",
       "    B_obs           (time, x) float64 ...\n",
       "    A               (time, x) float64 ...\n",
       "    B               (time, x) float64 ...\n",
       "    latitude        (x) float64 ...\n",
       "    longitude       (x) float64 ...\n",
       "    siteid          (x) object ...\n",
       "Attributes:\n",
       "    title:         \n",
       "    format:        NetCDF-4\n",
       "    date_created:  2023-02-27\n",
       "    dict_json:     {\\n    \"type\": \"pt_sfc\",\\n    \"radius_of_influence\": 10000...\n",
       "    group_name:    test_obs_test_model"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from copy import deepcopy\n",
    "\n",
    "p0 = deepcopy(an.paired['test_obs_test_model'].obj)\n",
    "\n",
    "an.save_analysis()\n",
    "an.read_analysis()\n",
    "p1 = deepcopy(an.paired['test_obs_test_model'].obj)\n",
    "p1.close()\n",
    "\n",
    "display(p0)\n",
    "display(p1)\n",
    "assert p1 is not p0 and p1.equals(p0)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5821ec51-0862-4c7a-ae77-f32b5d240881",
   "metadata": {},
   "source": [
    "## Save/load paired data -- Python object"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "4fdc9d1d-1dd5-41e1-a8d3-83026d05d27b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'paired': {'method': 'netcdf', 'prefix': 'asdf', 'data': 'all'}}\n",
      "-> {'paired': {'method': 'pkl', 'data': 'all', 'output_name': 'asdf.joblib'}}\n",
      "\n",
      "{'paired': {'method': 'netcdf', 'filenames': {'test_obs_test_model': ['./output/idealized\\\\asdf_test_obs_test_model.nc4']}}}\n",
      "-> {'paired': {'method': 'pkl', 'filenames': 'asdf.joblib'}}\n",
      "\n",
      "Writing: ./output/idealized\\asdf.joblib\n",
      "Reading: ./output/idealized\\asdf.joblib\n"
     ]
    },
    {
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       "\n",
       ".xr-attrs dt,\n",
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       "\n",
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       "\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:         (time: 9, x: 500)\n",
       "Coordinates:\n",
       "  * time            (time) datetime64[ns] 2019-09-09 ... 2019-09-10\n",
       "  * x               (x) int32 0 1 2 3 4 5 6 7 ... 493 494 495 496 497 498 499\n",
       "Data variables:\n",
       "    something_vlen  (time, x) object ...\n",
       "    A_obs           (time, x) float64 ...\n",
       "    B_obs           (time, x) float64 ...\n",
       "    A               (time, x) float64 ...\n",
       "    B               (time, x) float64 ...\n",
       "    latitude        (x) float64 ...\n",
       "    longitude       (x) float64 ...\n",
       "    siteid          (x) object ...\n",
       "Attributes:\n",
       "    title:         \n",
       "    format:        NetCDF-4\n",
       "    date_created:  2023-02-27\n",
       "    dict_json:     {\\n    &quot;type&quot;: &quot;pt_sfc&quot;,\\n    &quot;radius_of_influence&quot;: 10000...\n",
       "    group_name:    test_obs_test_model</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-52ba6f03-496d-4605-9bc2-caa1ba65a0ea' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-52ba6f03-496d-4605-9bc2-caa1ba65a0ea' 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>: 9</li><li><span class='xr-has-index'>x</span>: 500</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-ddd5c1ac-6f23-429e-a592-4881b665f0a6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ddd5c1ac-6f23-429e-a592-4881b665f0a6' class='xr-section-summary' >Coordinates: <span>(2)</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'>2019-09-09 ... 2019-09-10</div><input id='attrs-cdd277b8-b433-4388-9de1-d83c12c8bb67' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cdd277b8-b433-4388-9de1-d83c12c8bb67' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad1e5fb3-9775-48f1-877a-a5ac42404b48' class='xr-var-data-in' type='checkbox'><label for='data-ad1e5fb3-9775-48f1-877a-a5ac42404b48' 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;2019-09-09T00:00:00.000000000&#x27;, &#x27;2019-09-09T03:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-09T06:00:00.000000000&#x27;, &#x27;2019-09-09T09:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-09T12:00:00.000000000&#x27;, &#x27;2019-09-09T15:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-09T18:00:00.000000000&#x27;, &#x27;2019-09-09T21:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-10T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 495 496 497 498 499</div><input id='attrs-78a04baa-d6ce-453b-a95b-a166c7c67a69' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-78a04baa-d6ce-453b-a95b-a166c7c67a69' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-74588845-6a34-4224-b6d2-0d468c0cc15c' class='xr-var-data-in' type='checkbox'><label for='data-74588845-6a34-4224-b6d2-0d468c0cc15c' 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([  0,   1,   2, ..., 497, 498, 499])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-21aa21d5-81bb-4aee-9ed2-20e0b63b14b1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-21aa21d5-81bb-4aee-9ed2-20e0b63b14b1' class='xr-section-summary' >Data variables: <span>(8)</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>something_vlen</span></div><div class='xr-var-dims'>(time, x)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9b58f20d-e2f1-482e-b950-2cb59c58dabd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9b58f20d-e2f1-482e-b950-2cb59c58dabd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d0af2a4-07bd-4807-a529-449265a11aa7' class='xr-var-data-in' type='checkbox'><label for='data-9d0af2a4-07bd-4807-a529-449265a11aa7' 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>[4500 values with dtype=object]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>A_obs</span></div><div class='xr-var-dims'>(time, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-309b83dd-aacb-45c5-a21d-0940aa893544' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-309b83dd-aacb-45c5-a21d-0940aa893544' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6855058d-7d70-4ae1-976b-a14dff411fd1' class='xr-var-data-in' type='checkbox'><label for='data-6855058d-7d70-4ae1-976b-a14dff411fd1' 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>[4500 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_obs</span></div><div class='xr-var-dims'>(time, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dd9b5553-2fc0-4faf-aa71-c9e0cc83d0a5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dd9b5553-2fc0-4faf-aa71-c9e0cc83d0a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d58a9971-d263-41e1-947f-6b3a90526d97' class='xr-var-data-in' type='checkbox'><label for='data-d58a9971-d263-41e1-947f-6b3a90526d97' 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>[4500 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>A</span></div><div class='xr-var-dims'>(time, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e3b02459-2dcb-43fe-b121-6972e9eb54ff' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e3b02459-2dcb-43fe-b121-6972e9eb54ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c949f20c-6797-43bb-a4b2-e27bccbfb7f2' class='xr-var-data-in' type='checkbox'><label for='data-c949f20c-6797-43bb-a4b2-e27bccbfb7f2' 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>[4500 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B</span></div><div class='xr-var-dims'>(time, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e28a8c26-d29e-4a98-94ca-8e4fdc4710f9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e28a8c26-d29e-4a98-94ca-8e4fdc4710f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a45ef4c2-a830-4d89-8a5a-abd90e564812' class='xr-var-data-in' type='checkbox'><label for='data-a45ef4c2-a830-4d89-8a5a-abd90e564812' 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>[4500 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-518813e8-b169-4705-9361-9df14720acb4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-518813e8-b169-4705-9361-9df14720acb4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af1912ba-6c32-4972-8af5-293f37122060' class='xr-var-data-in' type='checkbox'><label for='data-af1912ba-6c32-4972-8af5-293f37122060' 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>[500 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e1a75654-a2e2-41cb-b679-e157df7f33cf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e1a75654-a2e2-41cb-b679-e157df7f33cf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-587d3a0b-67d5-49fe-b8a0-369d8d88b4cb' class='xr-var-data-in' type='checkbox'><label for='data-587d3a0b-67d5-49fe-b8a0-369d8d88b4cb' 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>[500 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>siteid</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b8bf28e6-f667-4d89-ac1b-a7b23c5a4328' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b8bf28e6-f667-4d89-ac1b-a7b23c5a4328' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe501f02-f519-46a4-8984-86bf12f037dd' class='xr-var-data-in' type='checkbox'><label for='data-fe501f02-f519-46a4-8984-86bf12f037dd' 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>[500 values with dtype=object]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-93fd6f9c-c03f-4b2f-b147-0ea5d06594c1' class='xr-section-summary-in' type='checkbox'  ><label for='section-93fd6f9c-c03f-4b2f-b147-0ea5d06594c1' class='xr-section-summary' >Indexes: <span>(2)</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-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-784dedf3-b0af-4d50-868f-d100706159c8' class='xr-index-data-in' type='checkbox'/><label for='index-784dedf3-b0af-4d50-868f-d100706159c8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2019-09-09 00:00:00&#x27;, &#x27;2019-09-09 03:00:00&#x27;,\n",
       "               &#x27;2019-09-09 06:00:00&#x27;, &#x27;2019-09-09 09:00:00&#x27;,\n",
       "               &#x27;2019-09-09 12:00:00&#x27;, &#x27;2019-09-09 15:00:00&#x27;,\n",
       "               &#x27;2019-09-09 18:00:00&#x27;, &#x27;2019-09-09 21:00:00&#x27;,\n",
       "               &#x27;2019-09-10 00:00:00&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d6282700-5b9a-4c09-9368-4041dc2c1686' class='xr-index-data-in' type='checkbox'/><label for='index-d6282700-5b9a-4c09-9368-4041dc2c1686' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Int64Index([  0,   1,   2,   3,   4,   5,   6,   7,   8,   9,\n",
       "            ...\n",
       "            490, 491, 492, 493, 494, 495, 496, 497, 498, 499],\n",
       "           dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;, length=500))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9cdb6614-f241-4c93-9b08-804f69aaa406' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9cdb6614-f241-4c93-9b08-804f69aaa406' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>title :</span></dt><dd></dd><dt><span>format :</span></dt><dd>NetCDF-4</dd><dt><span>date_created :</span></dt><dd>2023-02-27</dd><dt><span>dict_json :</span></dt><dd>{\n",
       "    &quot;type&quot;: &quot;pt_sfc&quot;,\n",
       "    &quot;radius_of_influence&quot;: 1000000.0,\n",
       "    &quot;obs&quot;: &quot;test_obs&quot;,\n",
       "    &quot;model&quot;: &quot;test_model&quot;,\n",
       "    &quot;model_vars&quot;: [\n",
       "        &quot;A&quot;,\n",
       "        &quot;B&quot;\n",
       "    ],\n",
       "    &quot;obs_vars&quot;: [\n",
       "        &quot;A_obs&quot;,\n",
       "        &quot;B_obs&quot;\n",
       "    ],\n",
       "    &quot;filename&quot;: &quot;test_obs_test_model.nc&quot;\n",
       "}</dd><dt><span>group_name :</span></dt><dd>test_obs_test_model</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:         (time: 9, x: 500)\n",
       "Coordinates:\n",
       "  * time            (time) datetime64[ns] 2019-09-09 ... 2019-09-10\n",
       "  * x               (x) int32 0 1 2 3 4 5 6 7 ... 493 494 495 496 497 498 499\n",
       "Data variables:\n",
       "    something_vlen  (time, x) object ...\n",
       "    A_obs           (time, x) float64 ...\n",
       "    B_obs           (time, x) float64 ...\n",
       "    A               (time, x) float64 ...\n",
       "    B               (time, x) float64 ...\n",
       "    latitude        (x) float64 ...\n",
       "    longitude       (x) float64 ...\n",
       "    siteid          (x) object ...\n",
       "Attributes:\n",
       "    title:         \n",
       "    format:        NetCDF-4\n",
       "    date_created:  2023-02-27\n",
       "    dict_json:     {\\n    \"type\": \"pt_sfc\",\\n    \"radius_of_influence\": 10000...\n",
       "    group_name:    test_obs_test_model"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(an.save)\n",
    "an.save[\"paired\"][\"method\"] = \"pkl\"\n",
    "del an.save[\"paired\"][\"prefix\"]\n",
    "# We could leave `prefix` since unused, but we need to set `output_name`\n",
    "an.save[\"paired\"][\"output_name\"] = \"asdf.joblib\"\n",
    "print(\"->\", an.save)\n",
    "\n",
    "print()\n",
    "print(an.read)\n",
    "an.read[\"paired\"][\"method\"] = \"pkl\"\n",
    "an.read[\"paired\"][\"filenames\"] = \"asdf.joblib\"\n",
    "print(\"->\", an.read)\n",
    "\n",
    "print()\n",
    "an.save_analysis()\n",
    "an.read_analysis()\n",
    "p2 = deepcopy(an.paired['test_obs_test_model'].obj)\n",
    "p2.close()\n",
    "\n",
    "# display(p0)\n",
    "display(p2)\n",
    "assert p2 is not p0 and p2.equals(p0)"
   ]
  }
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