{
 "cells": [
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     "end_time": "2023-02-05T12:56:42.979406",
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     "start_time": "2023-02-05T12:56:42.920594",
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    "# Output in zarr (advanced)\n",
    "\n",
    "Topics:\n",
    "\n",
    "- Capturing output in memory using the `MemoryStore` of `zarr` ([link](https://zarr.readthedocs.io/en/stable/api/storage.html#zarr.storage.MemoryStore))\n",
    "- Transferring data from a `MemoryStore` into a directory (via `DirectoryStore`; [link](https://zarr.readthedocs.io/en/stable/api/storage.html#zarr.storage.DirectoryStore)) or a zip file (via `ZipStore`; [link](https://zarr.readthedocs.io/en/stable/api/storage.html#zarr.storage.ZipStore)).\n",
    "- Re-chunking output to better align with specific analyses (time vs. spatial filtering).\n"
   ]
  },
  {
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   "id": "6796b369-d5ce-43f2-bcb2-47d33985ec03",
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   "source": [
    "## A simple flow field\n",
    "\n",
    "We'll use a Rankine Vortex (https://en.wikipedia.org/wiki/Rankine_vortex) and add some noise to make trajectories interesting.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "e129151b-56de-47de-ab0e-b204f6c892e6",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import xarray as xr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e21f6731-be72-4cae-8abb-deb116ef1cad",
   "metadata": {},
   "outputs": [],
   "source": [
    "np.random.seed(1234)  # let's be reproducible"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "2a351cd0-d1fc-4ecb-b208-f7604bcb7bec",
   "metadata": {},
   "outputs": [
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       "\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (lat: 101, lon: 101)\n",
       "Coordinates:\n",
       "  * lat      (lat) float64 -20.0 -19.6 -19.2 -18.8 -18.4 ... 18.8 19.2 19.6 20.0\n",
       "  * lon      (lon) float64 -20.0 -19.6 -19.2 -18.8 -18.4 ... 18.8 19.2 19.6 20.0\n",
       "Data variables:\n",
       "    U        (lat, lon) float64 0.4693 0.1444 0.6768 ... -0.2509 -0.1513 -0.425\n",
       "    V        (lat, lon) float64 -0.4215 -0.3119 -0.2634 ... 0.02258 0.4363</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-155d7aeb-e624-4d9f-b0c2-3e39836c2250' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-155d7aeb-e624-4d9f-b0c2-3e39836c2250' 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'>lat</span>: 101</li><li><span class='xr-has-index'>lon</span>: 101</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-80e0cbe4-d693-490f-81bf-ed225f981b12' class='xr-section-summary-in' type='checkbox'  checked><label for='section-80e0cbe4-d693-490f-81bf-ed225f981b12' 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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-20.0 -19.6 -19.2 ... 19.6 20.0</div><input id='attrs-4ae98e7a-fe1b-456b-a034-4c5af7c399d3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4ae98e7a-fe1b-456b-a034-4c5af7c399d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5be450e5-beca-4678-8ac8-0066435bf113' class='xr-var-data-in' type='checkbox'><label for='data-5be450e5-beca-4678-8ac8-0066435bf113' 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([-20. , -19.6, -19.2, -18.8, -18.4, -18. , -17.6, -17.2, -16.8, -16.4,\n",
       "       -16. , -15.6, -15.2, -14.8, -14.4, -14. , -13.6, -13.2, -12.8, -12.4,\n",
       "       -12. , -11.6, -11.2, -10.8, -10.4, -10. ,  -9.6,  -9.2,  -8.8,  -8.4,\n",
       "        -8. ,  -7.6,  -7.2,  -6.8,  -6.4,  -6. ,  -5.6,  -5.2,  -4.8,  -4.4,\n",
       "        -4. ,  -3.6,  -3.2,  -2.8,  -2.4,  -2. ,  -1.6,  -1.2,  -0.8,  -0.4,\n",
       "         0. ,   0.4,   0.8,   1.2,   1.6,   2. ,   2.4,   2.8,   3.2,   3.6,\n",
       "         4. ,   4.4,   4.8,   5.2,   5.6,   6. ,   6.4,   6.8,   7.2,   7.6,\n",
       "         8. ,   8.4,   8.8,   9.2,   9.6,  10. ,  10.4,  10.8,  11.2,  11.6,\n",
       "        12. ,  12.4,  12.8,  13.2,  13.6,  14. ,  14.4,  14.8,  15.2,  15.6,\n",
       "        16. ,  16.4,  16.8,  17.2,  17.6,  18. ,  18.4,  18.8,  19.2,  19.6,\n",
       "        20. ])</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'>-20.0 -19.6 -19.2 ... 19.6 20.0</div><input id='attrs-9f249c77-ec78-408d-b5f9-2b39fb563923' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9f249c77-ec78-408d-b5f9-2b39fb563923' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5d83b590-130c-4ce2-b545-440b94cf0a63' class='xr-var-data-in' type='checkbox'><label for='data-5d83b590-130c-4ce2-b545-440b94cf0a63' 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([-20. , -19.6, -19.2, -18.8, -18.4, -18. , -17.6, -17.2, -16.8, -16.4,\n",
       "       -16. , -15.6, -15.2, -14.8, -14.4, -14. , -13.6, -13.2, -12.8, -12.4,\n",
       "       -12. , -11.6, -11.2, -10.8, -10.4, -10. ,  -9.6,  -9.2,  -8.8,  -8.4,\n",
       "        -8. ,  -7.6,  -7.2,  -6.8,  -6.4,  -6. ,  -5.6,  -5.2,  -4.8,  -4.4,\n",
       "        -4. ,  -3.6,  -3.2,  -2.8,  -2.4,  -2. ,  -1.6,  -1.2,  -0.8,  -0.4,\n",
       "         0. ,   0.4,   0.8,   1.2,   1.6,   2. ,   2.4,   2.8,   3.2,   3.6,\n",
       "         4. ,   4.4,   4.8,   5.2,   5.6,   6. ,   6.4,   6.8,   7.2,   7.6,\n",
       "         8. ,   8.4,   8.8,   9.2,   9.6,  10. ,  10.4,  10.8,  11.2,  11.6,\n",
       "        12. ,  12.4,  12.8,  13.2,  13.6,  14. ,  14.4,  14.8,  15.2,  15.6,\n",
       "        16. ,  16.4,  16.8,  17.2,  17.6,  18. ,  18.4,  18.8,  19.2,  19.6,\n",
       "        20. ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-15fb1aae-9675-4c9a-b463-6be9f64d8701' class='xr-section-summary-in' type='checkbox'  checked><label for='section-15fb1aae-9675-4c9a-b463-6be9f64d8701' 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>U</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4693 0.1444 ... -0.1513 -0.425</div><input id='attrs-27ce1861-e3d9-483c-8d1a-d912a7569162' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-27ce1861-e3d9-483c-8d1a-d912a7569162' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f16518f-80f8-4469-8b64-51f4a8ad67f3' class='xr-var-data-in' type='checkbox'><label for='data-9f16518f-80f8-4469-8b64-51f4a8ad67f3' 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([[ 0.46928703,  0.14437985,  0.67684114, ...,  0.17650199,\n",
       "         0.28019872,  0.43324107],\n",
       "       [ 0.48823022,  0.48337141,  0.44760111, ...,  0.18023419,\n",
       "         0.31874078,  0.25092487],\n",
       "       [ 0.40608744,  0.26828066,  0.60215164, ...,  0.49603429,\n",
       "         0.52479421,  0.33117866],\n",
       "       ...,\n",
       "       [-0.48557172, -0.01354306, -0.30678462, ..., -0.54638189,\n",
       "        -0.59306387, -0.47422638],\n",
       "       [-0.42612472, -0.23442369, -0.3251972 , ..., -0.26513866,\n",
       "        -0.61608569, -0.24186039],\n",
       "       [-0.28726755, -0.1176292 , -0.27813144, ..., -0.25094808,\n",
       "        -0.15131433, -0.4249878 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>V</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.4215 -0.3119 ... 0.02258 0.4363</div><input id='attrs-63cf7e26-4c22-448f-84e4-055f9353c58e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-63cf7e26-4c22-448f-84e4-055f9353c58e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6d765fcb-1a47-49d4-863b-f8ac4b1180ec' class='xr-var-data-in' type='checkbox'><label for='data-6d765fcb-1a47-49d4-863b-f8ac4b1180ec' 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([[-0.42154452, -0.31185143, -0.2634493 , ...,  0.37532949,\n",
       "         0.07626597,  0.19982902],\n",
       "       [-0.32863987, -0.47483951, -0.3761336 , ..., -0.11546564,\n",
       "         0.27623107,  0.33177188],\n",
       "       [-0.31398172, -0.31559977, -0.58112359, ...,  0.4507378 ,\n",
       "         0.35488509,  0.62119615],\n",
       "       ...,\n",
       "       [-0.99788401, -0.38775779, -0.2892228 , ...,  0.0622395 ,\n",
       "         0.70271707,  0.33103394],\n",
       "       [-0.37288585, -0.54878878, -0.14082546, ...,  0.40128192,\n",
       "         0.45267525,  0.22271587],\n",
       "       [-0.6644985 , -0.310546  , -0.42242215, ..., -0.05504658,\n",
       "         0.02258131,  0.43626902]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2efb1da7-37f6-4983-a09c-db49c87b5dcf' class='xr-section-summary-in' type='checkbox'  ><label for='section-2efb1da7-37f6-4983-a09c-db49c87b5dcf' 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>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8cccaae6-8744-4212-acbe-6547b086ec76' class='xr-index-data-in' type='checkbox'/><label for='index-8cccaae6-8744-4212-acbe-6547b086ec76' 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(Index([             -20.0,              -19.6,              -19.2,\n",
       "                    -18.8,              -18.4,              -18.0,\n",
       "                    -17.6,              -17.2,              -16.8,\n",
       "                    -16.4,\n",
       "       ...\n",
       "                     16.4, 16.800000000000004, 17.200000000000003,\n",
       "                     17.6,               18.0, 18.400000000000006,\n",
       "       18.800000000000004, 19.200000000000003,               19.6,\n",
       "                     20.0],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;, length=101))</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-e1cbdb93-e576-4707-ab6e-d34a95bfc816' class='xr-index-data-in' type='checkbox'/><label for='index-e1cbdb93-e576-4707-ab6e-d34a95bfc816' 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(Index([             -20.0,              -19.6,              -19.2,\n",
       "                    -18.8,              -18.4,              -18.0,\n",
       "                    -17.6,              -17.2,              -16.8,\n",
       "                    -16.4,\n",
       "       ...\n",
       "                     16.4, 16.800000000000004, 17.200000000000003,\n",
       "                     17.6,               18.0, 18.400000000000006,\n",
       "       18.800000000000004, 19.200000000000003,               19.6,\n",
       "                     20.0],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=101))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5b3083fe-398d-4b14-af73-52ba9c5dab7c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5b3083fe-398d-4b14-af73-52ba9c5dab7c' 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:  (lat: 101, lon: 101)\n",
       "Coordinates:\n",
       "  * lat      (lat) float64 -20.0 -19.6 -19.2 -18.8 -18.4 ... 18.8 19.2 19.6 20.0\n",
       "  * lon      (lon) float64 -20.0 -19.6 -19.2 -18.8 -18.4 ... 18.8 19.2 19.6 20.0\n",
       "Data variables:\n",
       "    U        (lat, lon) float64 0.4693 0.1444 0.6768 ... -0.2509 -0.1513 -0.425\n",
       "    V        (lat, lon) float64 -0.4215 -0.3119 -0.2634 ... 0.02258 0.4363"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "lat = xr.DataArray(np.linspace(-20, 20, 101), dims=(\"lat\",), name=\"lat\")\n",
    "lon = xr.DataArray(np.linspace(-20, 20, 101), dims=(\"lon\",), name=\"lon\")\n",
    "\n",
    "# rankine vortex:\n",
    "Vmax = 1.5\n",
    "Vnoise = 0.2\n",
    "phi = np.arctan2(lat, lon)\n",
    "r = (lat**2 + lon**2) ** 0.5\n",
    "core_rad = 10\n",
    "rad_structure = xr.where(r <= core_rad, r / core_rad, core_rad / r)\n",
    "U_noise = np.random.normal(0, Vnoise, size=r.shape)\n",
    "V_noise = np.random.normal(0, Vnoise, size=r.shape)\n",
    "\n",
    "# the dataset\n",
    "ds_flow_field = xr.Dataset(\n",
    "    {\n",
    "        \"U\": (Vmax * -np.sin(phi) * rad_structure + U_noise).rename(\"U\"),\n",
    "        \"V\": (Vmax * np.cos(phi) * rad_structure + V_noise).rename(\"V\"),\n",
    "    },\n",
    "    coords={\"lat\": lat, \"lon\": lon},\n",
    ")\n",
    "\n",
    "display(ds_flow_field)\n",
    "\n",
    "((ds_flow_field.U**2 + ds_flow_field.V**2) ** 0.5).plot()\n",
    "\n",
    "(\n",
    "    ds_flow_field.isel(lon=slice(None, None, 3), lat=slice(None, None, 3)).plot.quiver(\n",
    "        x=\"lon\", y=\"lat\", u=\"U\", v=\"V\"\n",
    "    )\n",
    ");"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "1532a89d-b6d2-48b8-aec5-eda619f6aca0",
   "metadata": {
    "papermill": {
     "duration": 0.015861,
     "end_time": "2023-02-05T12:56:46.746560",
     "exception": false,
     "start_time": "2023-02-05T12:56:46.730699",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## The Parcels experiment\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e0cb5a53-8e8e-4f95-980a-2368a6fe289f",
   "metadata": {
    "papermill": {
     "duration": 0.153963,
     "end_time": "2023-02-05T12:56:46.916662",
     "exception": false,
     "start_time": "2023-02-05T12:56:46.762699",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "from datetime import datetime, timedelta\n",
    "\n",
    "import numpy as np\n",
    "import zarr\n",
    "\n",
    "from parcels import AdvectionRK4, FieldSet, ParticleSet, ScipyParticle"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "5537cf9c-18c5-435d-a4c7-b98e7527544e",
   "metadata": {},
   "source": [
    "### Create fieldset from Xarray\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "5c2c3f9c-f864-484c-a7e1-475a4f0768cb",
   "metadata": {},
   "outputs": [],
   "source": [
    "fieldset = FieldSet.from_xarray_dataset(\n",
    "    ds_flow_field,\n",
    "    variables={\"U\": \"U\", \"V\": \"V\"},\n",
    "    dimensions={\"lat\": \"lat\", \"lon\": \"lon\"},\n",
    ")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "9eae496f-7f8a-43cb-bf7c-e58806b77c17",
   "metadata": {
    "papermill": {
     "duration": 0.017419,
     "end_time": "2023-02-05T12:56:47.032698",
     "exception": false,
     "start_time": "2023-02-05T12:56:47.015279",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### A randomly positioned particleset\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "c4f510d8-a6d5-4da8-9fa1-cc52f9d6f61d",
   "metadata": {
    "papermill": {
     "duration": 0.031583,
     "end_time": "2023-02-05T12:56:47.080957",
     "exception": false,
     "start_time": "2023-02-05T12:56:47.049374",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x13f3d2c90>]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def create_random_pset(\n",
    "    fieldset=None, lon_range=(-15, 15), lat_range=(-15, 15), number_particles=200\n",
    "):\n",
    "    return ParticleSet.from_list(\n",
    "        fieldset=fieldset,\n",
    "        pclass=ScipyParticle,\n",
    "        lon=np.random.uniform(*lon_range, size=(number_particles,)),\n",
    "        lat=np.random.uniform(*lat_range, size=(number_particles,)),\n",
    "        time=np.zeros(shape=(number_particles,)),\n",
    "    )\n",
    "\n",
    "\n",
    "pset = create_random_pset(fieldset)\n",
    "\n",
    "plt.plot(pset.lon, pset.lat, \"o\", alpha=0.5)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "b936c2cf-107c-479e-bc5f-3dc1d03811b2",
   "metadata": {
    "papermill": {
     "duration": 0.019595,
     "end_time": "2023-02-05T12:56:47.116811",
     "exception": false,
     "start_time": "2023-02-05T12:56:47.097216",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### Streaming to an _in-memory_ store\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "68cd0dcb-d491-4610-aeee-515d314f8bc7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO: Output files are stored in <zarr.storage.MemoryStore object at 0x164133550>.\n",
      "100%|██████████| 1468800.0/1468800.0 [00:06<00:00, 240698.79it/s]\n"
     ]
    },
    {
     "data": {
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       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body[data-theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\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:     (trajectory: 200, obs: 136)\n",
       "Coordinates:\n",
       "  * obs         (obs) int32 0 1 2 3 4 5 6 7 ... 128 129 130 131 132 133 134 135\n",
       "  * trajectory  (trajectory) int64 200 201 202 203 204 ... 395 396 397 398 399\n",
       "Data variables:\n",
       "    lat         (trajectory, obs) float32 dask.array&lt;chunksize=(200, 1), meta=np.ndarray&gt;\n",
       "    lon         (trajectory, obs) float32 dask.array&lt;chunksize=(200, 1), meta=np.ndarray&gt;\n",
       "    time        (trajectory, obs) timedelta64[ns] dask.array&lt;chunksize=(200, 1), meta=np.ndarray&gt;\n",
       "    z           (trajectory, obs) float32 dask.array&lt;chunksize=(200, 1), meta=np.ndarray&gt;\n",
       "Attributes:\n",
       "    Conventions:            CF-1.6/CF-1.7\n",
       "    feature_type:           trajectory\n",
       "    ncei_template_version:  NCEI_NetCDF_Trajectory_Template_v2.0\n",
       "    parcels_kernels:        ScipyParticleAdvectionRK4\n",
       "    parcels_mesh:           spherical\n",
       "    parcels_version:        v2.4.2-370-gd0cb4110</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-06d0cf12-1997-4362-9fe8-b1aff0eba381' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-06d0cf12-1997-4362-9fe8-b1aff0eba381' 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'>trajectory</span>: 200</li><li><span class='xr-has-index'>obs</span>: 136</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-18830719-19cd-400e-a7c2-50d168b3d682' class='xr-section-summary-in' type='checkbox'  checked><label for='section-18830719-19cd-400e-a7c2-50d168b3d682' 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'>obs</span></div><div class='xr-var-dims'>(obs)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 131 132 133 134 135</div><input id='attrs-632f3cc1-e9e1-4f5b-ab01-3dc4b4a1068a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-632f3cc1-e9e1-4f5b-ab01-3dc4b4a1068a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86ff32fd-53b2-4d33-846a-6dc2db16b054' class='xr-var-data-in' type='checkbox'><label for='data-86ff32fd-53b2-4d33-846a-6dc2db16b054' 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,   3,   4,   5,   6,   7,   8,   9,  10,  11,  12,  13,\n",
       "        14,  15,  16,  17,  18,  19,  20,  21,  22,  23,  24,  25,  26,  27,\n",
       "        28,  29,  30,  31,  32,  33,  34,  35,  36,  37,  38,  39,  40,  41,\n",
       "        42,  43,  44,  45,  46,  47,  48,  49,  50,  51,  52,  53,  54,  55,\n",
       "        56,  57,  58,  59,  60,  61,  62,  63,  64,  65,  66,  67,  68,  69,\n",
       "        70,  71,  72,  73,  74,  75,  76,  77,  78,  79,  80,  81,  82,  83,\n",
       "        84,  85,  86,  87,  88,  89,  90,  91,  92,  93,  94,  95,  96,  97,\n",
       "        98,  99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111,\n",
       "       112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125,\n",
       "       126, 127, 128, 129, 130, 131, 132, 133, 134, 135], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>trajectory</span></div><div class='xr-var-dims'>(trajectory)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>200 201 202 203 ... 396 397 398 399</div><input id='attrs-5808377e-fee7-42dd-a4ce-1aec0eae173f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5808377e-fee7-42dd-a4ce-1aec0eae173f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-511e23c4-e72c-49d1-b4fa-5ff5ba365e3a' class='xr-var-data-in' type='checkbox'><label for='data-511e23c4-e72c-49d1-b4fa-5ff5ba365e3a' 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([200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213,\n",
       "       214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227,\n",
       "       228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241,\n",
       "       242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255,\n",
       "       256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269,\n",
       "       270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283,\n",
       "       284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297,\n",
       "       298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311,\n",
       "       312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325,\n",
       "       326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339,\n",
       "       340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353,\n",
       "       354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367,\n",
       "       368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381,\n",
       "       382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395,\n",
       "       396, 397, 398, 399])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6ec5dab5-08bd-4673-bff5-32784354ec26' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6ec5dab5-08bd-4673-bff5-32784354ec26' class='xr-section-summary' >Data variables: <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>lat</span></div><div class='xr-var-dims'>(trajectory, obs)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(200, 1), meta=np.ndarray&gt;</div><input id='attrs-3e12f336-43d0-4889-95d1-2ecc0f2cc8e6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3e12f336-43d0-4889-95d1-2ecc0f2cc8e6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b49505e5-cb83-41c8-a24a-574106391dee' class='xr-var-data-in' type='checkbox'><label for='data-b49505e5-cb83-41c8-a24a-574106391dee' 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>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 106.25 kiB </td>\n",
       "                        <td> 800 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (200, 136) </td>\n",
       "                        <td> (200, 1) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 136 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"131\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"81\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"4\" y1=\"0\" x2=\"4\" y2=\"120\" />\n",
       "  <line x1=\"8\" y1=\"0\" x2=\"8\" y2=\"120\" />\n",
       "  <line x1=\"12\" y1=\"0\" x2=\"12\" y2=\"120\" />\n",
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       "  <line x1=\"21\" y1=\"0\" x2=\"21\" y2=\"120\" />\n",
       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"120\" />\n",
       "  <line x1=\"29\" y1=\"0\" x2=\"29\" y2=\"120\" />\n",
       "  <line x1=\"34\" y1=\"0\" x2=\"34\" y2=\"120\" />\n",
       "  <line x1=\"38\" y1=\"0\" x2=\"38\" y2=\"120\" />\n",
       "  <line x1=\"42\" y1=\"0\" x2=\"42\" y2=\"120\" />\n",
       "  <line x1=\"46\" y1=\"0\" x2=\"46\" y2=\"120\" />\n",
       "  <line x1=\"50\" y1=\"0\" x2=\"50\" y2=\"120\" />\n",
       "  <line x1=\"55\" y1=\"0\" x2=\"55\" y2=\"120\" />\n",
       "  <line x1=\"59\" y1=\"0\" x2=\"59\" y2=\"120\" />\n",
       "  <line x1=\"64\" y1=\"0\" x2=\"64\" y2=\"120\" />\n",
       "  <line x1=\"68\" y1=\"0\" x2=\"68\" y2=\"120\" />\n",
       "  <line x1=\"72\" y1=\"0\" x2=\"72\" y2=\"120\" />\n",
       "  <line x1=\"76\" y1=\"0\" x2=\"76\" y2=\"120\" />\n",
       "  <line x1=\"81\" y1=\"0\" x2=\"81\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
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       "  <polygon points=\"0.0,0.0 81.6,0.0 81.6,120.0 0.0,120.0\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
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       "  <text x=\"40.800000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >136</text>\n",
       "  <text x=\"101.600000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,101.600000,60.000000)\">200</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(trajectory, obs)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(200, 1), meta=np.ndarray&gt;</div><input id='attrs-d968edb1-430a-4298-ae01-00e2cf878b7b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d968edb1-430a-4298-ae01-00e2cf878b7b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95230686-a9b9-4738-a3a3-2dc47c3ded6e' class='xr-var-data-in' type='checkbox'><label for='data-95230686-a9b9-4738-a3a3-2dc47c3ded6e' 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>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 106.25 kiB </td>\n",
       "                        <td> 800 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (200, 136) </td>\n",
       "                        <td> (200, 1) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 136 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"131\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
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       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
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       "  <line x1=\"8\" y1=\"0\" x2=\"8\" y2=\"120\" />\n",
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       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"120\" />\n",
       "  <line x1=\"29\" y1=\"0\" x2=\"29\" y2=\"120\" />\n",
       "  <line x1=\"34\" y1=\"0\" x2=\"34\" y2=\"120\" />\n",
       "  <line x1=\"38\" y1=\"0\" x2=\"38\" y2=\"120\" />\n",
       "  <line x1=\"42\" y1=\"0\" x2=\"42\" y2=\"120\" />\n",
       "  <line x1=\"46\" y1=\"0\" x2=\"46\" y2=\"120\" />\n",
       "  <line x1=\"50\" y1=\"0\" x2=\"50\" y2=\"120\" />\n",
       "  <line x1=\"55\" y1=\"0\" x2=\"55\" y2=\"120\" />\n",
       "  <line x1=\"59\" y1=\"0\" x2=\"59\" y2=\"120\" />\n",
       "  <line x1=\"64\" y1=\"0\" x2=\"64\" y2=\"120\" />\n",
       "  <line x1=\"68\" y1=\"0\" x2=\"68\" y2=\"120\" />\n",
       "  <line x1=\"72\" y1=\"0\" x2=\"72\" y2=\"120\" />\n",
       "  <line x1=\"76\" y1=\"0\" x2=\"76\" y2=\"120\" />\n",
       "  <line x1=\"81\" y1=\"0\" x2=\"81\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 81.6,0.0 81.6,120.0 0.0,120.0\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
       "\n",
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       "  <text x=\"40.800000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >136</text>\n",
       "  <text x=\"101.600000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,101.600000,60.000000)\">200</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>(trajectory, obs)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(200, 1), meta=np.ndarray&gt;</div><input id='attrs-1e7431d6-223a-4753-82d7-6682bfbb378e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e7431d6-223a-4753-82d7-6682bfbb378e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f766bf6d-895e-4000-8d8f-99562c2b04a5' class='xr-var-data-in' type='checkbox'><label for='data-f766bf6d-895e-4000-8d8f-99562c2b04a5' 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>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 212.50 kiB </td>\n",
       "                        <td> 1.56 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (200, 136) </td>\n",
       "                        <td> (200, 1) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 136 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> timedelta64[ns] numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"131\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"81\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"120\" x2=\"81\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"4\" y1=\"0\" x2=\"4\" y2=\"120\" />\n",
       "  <line x1=\"8\" y1=\"0\" x2=\"8\" y2=\"120\" />\n",
       "  <line x1=\"12\" y1=\"0\" x2=\"12\" y2=\"120\" />\n",
       "  <line x1=\"16\" y1=\"0\" x2=\"16\" y2=\"120\" />\n",
       "  <line x1=\"21\" y1=\"0\" x2=\"21\" y2=\"120\" />\n",
       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"120\" />\n",
       "  <line x1=\"29\" y1=\"0\" x2=\"29\" y2=\"120\" />\n",
       "  <line x1=\"34\" y1=\"0\" x2=\"34\" y2=\"120\" />\n",
       "  <line x1=\"38\" y1=\"0\" x2=\"38\" y2=\"120\" />\n",
       "  <line x1=\"42\" y1=\"0\" x2=\"42\" y2=\"120\" />\n",
       "  <line x1=\"46\" y1=\"0\" x2=\"46\" y2=\"120\" />\n",
       "  <line x1=\"50\" y1=\"0\" x2=\"50\" y2=\"120\" />\n",
       "  <line x1=\"55\" y1=\"0\" x2=\"55\" y2=\"120\" />\n",
       "  <line x1=\"59\" y1=\"0\" x2=\"59\" y2=\"120\" />\n",
       "  <line x1=\"64\" y1=\"0\" x2=\"64\" y2=\"120\" />\n",
       "  <line x1=\"68\" y1=\"0\" x2=\"68\" y2=\"120\" />\n",
       "  <line x1=\"72\" y1=\"0\" x2=\"72\" y2=\"120\" />\n",
       "  <line x1=\"76\" y1=\"0\" x2=\"76\" y2=\"120\" />\n",
       "  <line x1=\"81\" y1=\"0\" x2=\"81\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 81.6,0.0 81.6,120.0 0.0,120.0\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"40.800000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >136</text>\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z</span></div><div class='xr-var-dims'>(trajectory, obs)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(200, 1), meta=np.ndarray&gt;</div><input id='attrs-e9bbd584-dcf2-4c17-99d1-15d16303e2b3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e9bbd584-dcf2-4c17-99d1-15d16303e2b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ce6fcbdc-c7b7-4e7a-a25f-2422a70ff03b' class='xr-var-data-in' type='checkbox'><label for='data-ce6fcbdc-c7b7-4e7a-a25f-2422a70ff03b' 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>long_name :</span></dt><dd></dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>standard_name :</span></dt><dd>depth</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 106.25 kiB </td>\n",
       "                        <td> 800 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (200, 136) </td>\n",
       "                        <td> (200, 1) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 136 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"131\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"81\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"120\" x2=\"81\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"4\" y1=\"0\" x2=\"4\" y2=\"120\" />\n",
       "  <line x1=\"8\" y1=\"0\" x2=\"8\" y2=\"120\" />\n",
       "  <line x1=\"12\" y1=\"0\" x2=\"12\" y2=\"120\" />\n",
       "  <line x1=\"16\" y1=\"0\" x2=\"16\" y2=\"120\" />\n",
       "  <line x1=\"21\" y1=\"0\" x2=\"21\" y2=\"120\" />\n",
       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"120\" />\n",
       "  <line x1=\"29\" y1=\"0\" x2=\"29\" y2=\"120\" />\n",
       "  <line x1=\"34\" y1=\"0\" x2=\"34\" y2=\"120\" />\n",
       "  <line x1=\"38\" y1=\"0\" x2=\"38\" y2=\"120\" />\n",
       "  <line x1=\"42\" y1=\"0\" x2=\"42\" y2=\"120\" />\n",
       "  <line x1=\"46\" y1=\"0\" x2=\"46\" y2=\"120\" />\n",
       "  <line x1=\"50\" y1=\"0\" x2=\"50\" y2=\"120\" />\n",
       "  <line x1=\"55\" y1=\"0\" x2=\"55\" y2=\"120\" />\n",
       "  <line x1=\"59\" y1=\"0\" x2=\"59\" y2=\"120\" />\n",
       "  <line x1=\"64\" y1=\"0\" x2=\"64\" y2=\"120\" />\n",
       "  <line x1=\"68\" y1=\"0\" x2=\"68\" y2=\"120\" />\n",
       "  <line x1=\"72\" y1=\"0\" x2=\"72\" y2=\"120\" />\n",
       "  <line x1=\"76\" y1=\"0\" x2=\"76\" y2=\"120\" />\n",
       "  <line x1=\"81\" y1=\"0\" x2=\"81\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 81.6,0.0 81.6,120.0 0.0,120.0\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"40.800000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >136</text>\n",
       "  <text x=\"101.600000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,101.600000,60.000000)\">200</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-38d43c6f-ad5f-4b3a-9b85-1a7c9d11aecc' class='xr-section-summary-in' type='checkbox'  ><label for='section-38d43c6f-ad5f-4b3a-9b85-1a7c9d11aecc' 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>obs</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a72c298b-bfb5-49b7-9458-29e97769e4eb' class='xr-index-data-in' type='checkbox'/><label for='index-a72c298b-bfb5-49b7-9458-29e97769e4eb' 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(Index([  0,   1,   2,   3,   4,   5,   6,   7,   8,   9,\n",
       "       ...\n",
       "       126, 127, 128, 129, 130, 131, 132, 133, 134, 135],\n",
       "      dtype=&#x27;int32&#x27;, name=&#x27;obs&#x27;, length=136))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>trajectory</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f700941b-6497-4575-87e8-b7666917a5de' class='xr-index-data-in' type='checkbox'/><label for='index-f700941b-6497-4575-87e8-b7666917a5de' 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(Index([200, 201, 202, 203, 204, 205, 206, 207, 208, 209,\n",
       "       ...\n",
       "       390, 391, 392, 393, 394, 395, 396, 397, 398, 399],\n",
       "      dtype=&#x27;int64&#x27;, name=&#x27;trajectory&#x27;, length=200))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ba254e34-180d-417a-ac88-986e605bd3e1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ba254e34-180d-417a-ac88-986e605bd3e1' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.6/CF-1.7</dd><dt><span>feature_type :</span></dt><dd>trajectory</dd><dt><span>ncei_template_version :</span></dt><dd>NCEI_NetCDF_Trajectory_Template_v2.0</dd><dt><span>parcels_kernels :</span></dt><dd>ScipyParticleAdvectionRK4</dd><dt><span>parcels_mesh :</span></dt><dd>spherical</dd><dt><span>parcels_version :</span></dt><dd>v2.4.2-370-gd0cb4110</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:     (trajectory: 200, obs: 136)\n",
       "Coordinates:\n",
       "  * obs         (obs) int32 0 1 2 3 4 5 6 7 ... 128 129 130 131 132 133 134 135\n",
       "  * trajectory  (trajectory) int64 200 201 202 203 204 ... 395 396 397 398 399\n",
       "Data variables:\n",
       "    lat         (trajectory, obs) float32 dask.array<chunksize=(200, 1), meta=np.ndarray>\n",
       "    lon         (trajectory, obs) float32 dask.array<chunksize=(200, 1), meta=np.ndarray>\n",
       "    time        (trajectory, obs) timedelta64[ns] dask.array<chunksize=(200, 1), meta=np.ndarray>\n",
       "    z           (trajectory, obs) float32 dask.array<chunksize=(200, 1), meta=np.ndarray>\n",
       "Attributes:\n",
       "    Conventions:            CF-1.6/CF-1.7\n",
       "    feature_type:           trajectory\n",
       "    ncei_template_version:  NCEI_NetCDF_Trajectory_Template_v2.0\n",
       "    parcels_kernels:        ScipyParticleAdvectionRK4\n",
       "    parcels_mesh:           spherical\n",
       "    parcels_version:        v2.4.2-370-gd0cb4110"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# create fresh particle set\n",
    "pset = create_random_pset(fieldset)\n",
    "\n",
    "# create output store and output file\n",
    "output_memorystore = zarr.storage.MemoryStore()\n",
    "outputfile = pset.ParticleFile(name=output_memorystore, outputdt=timedelta(hours=3))\n",
    "\n",
    "# run experiment\n",
    "pset.execute(\n",
    "    AdvectionRK4,\n",
    "    runtime=timedelta(days=17),\n",
    "    dt=timedelta(hours=3),\n",
    "    output_file=outputfile,\n",
    ")\n",
    "\n",
    "# load output\n",
    "ds_out = xr.open_zarr(output_memorystore)\n",
    "display(ds_out)\n",
    "\n",
    "# have a look\n",
    "ds_out.to_dataframe().plot.scatter(x=\"lon\", y=\"lat\", s=2, alpha=0.1);"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "e6cb5684-d49e-49c7-b93a-d0fc03400f37",
   "metadata": {},
   "source": [
    "## Saving to an other Zarr store\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "d72b7213-e79b-4478-910b-708bff3b3b85",
   "metadata": {},
   "source": [
    "### Directory, without changing chunking\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "113f55b5-832b-4439-8191-1c5492beb8a0",
   "metadata": {},
   "outputs": [
    {
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       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\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:     (trajectory: 200, obs: 136)\n",
       "Coordinates:\n",
       "  * obs         (obs) int32 0 1 2 3 4 5 6 7 ... 128 129 130 131 132 133 134 135\n",
       "  * trajectory  (trajectory) int64 200 201 202 203 204 ... 395 396 397 398 399\n",
       "Data variables:\n",
       "    lat         (trajectory, obs) float32 dask.array&lt;chunksize=(200, 1), meta=np.ndarray&gt;\n",
       "    lon         (trajectory, obs) float32 dask.array&lt;chunksize=(200, 1), meta=np.ndarray&gt;\n",
       "    time        (trajectory, obs) timedelta64[ns] dask.array&lt;chunksize=(200, 1), meta=np.ndarray&gt;\n",
       "    z           (trajectory, obs) float32 dask.array&lt;chunksize=(200, 1), meta=np.ndarray&gt;\n",
       "Attributes:\n",
       "    Conventions:            CF-1.6/CF-1.7\n",
       "    feature_type:           trajectory\n",
       "    ncei_template_version:  NCEI_NetCDF_Trajectory_Template_v2.0\n",
       "    parcels_kernels:        ScipyParticleAdvectionRK4\n",
       "    parcels_mesh:           spherical\n",
       "    parcels_version:        v2.4.2-370-gd0cb4110</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-38069f8e-05b6-43b6-a209-feb0b16da1d3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-38069f8e-05b6-43b6-a209-feb0b16da1d3' 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'>trajectory</span>: 200</li><li><span class='xr-has-index'>obs</span>: 136</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-61d9aeeb-7736-4eab-9c18-83eb9303cc8a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-61d9aeeb-7736-4eab-9c18-83eb9303cc8a' 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'>obs</span></div><div class='xr-var-dims'>(obs)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 131 132 133 134 135</div><input id='attrs-7ee4b6b9-4b97-4e17-93a2-6efc8894b588' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7ee4b6b9-4b97-4e17-93a2-6efc8894b588' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-08a5a695-8383-4d6e-bd3f-a0c658e9cdc3' class='xr-var-data-in' type='checkbox'><label for='data-08a5a695-8383-4d6e-bd3f-a0c658e9cdc3' 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,   3,   4,   5,   6,   7,   8,   9,  10,  11,  12,  13,\n",
       "        14,  15,  16,  17,  18,  19,  20,  21,  22,  23,  24,  25,  26,  27,\n",
       "        28,  29,  30,  31,  32,  33,  34,  35,  36,  37,  38,  39,  40,  41,\n",
       "        42,  43,  44,  45,  46,  47,  48,  49,  50,  51,  52,  53,  54,  55,\n",
       "        56,  57,  58,  59,  60,  61,  62,  63,  64,  65,  66,  67,  68,  69,\n",
       "        70,  71,  72,  73,  74,  75,  76,  77,  78,  79,  80,  81,  82,  83,\n",
       "        84,  85,  86,  87,  88,  89,  90,  91,  92,  93,  94,  95,  96,  97,\n",
       "        98,  99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111,\n",
       "       112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125,\n",
       "       126, 127, 128, 129, 130, 131, 132, 133, 134, 135], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>trajectory</span></div><div class='xr-var-dims'>(trajectory)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>200 201 202 203 ... 396 397 398 399</div><input id='attrs-c5b21952-674d-4aa4-b2fb-e727dad3cc7d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c5b21952-674d-4aa4-b2fb-e727dad3cc7d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dcf6f0f0-c56b-4507-a477-9cb2d20da57d' class='xr-var-data-in' type='checkbox'><label for='data-dcf6f0f0-c56b-4507-a477-9cb2d20da57d' 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([200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213,\n",
       "       214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227,\n",
       "       228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241,\n",
       "       242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255,\n",
       "       256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269,\n",
       "       270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283,\n",
       "       284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297,\n",
       "       298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311,\n",
       "       312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325,\n",
       "       326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339,\n",
       "       340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353,\n",
       "       354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367,\n",
       "       368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381,\n",
       "       382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395,\n",
       "       396, 397, 398, 399])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a70429e1-48dd-45ea-b699-215a4be6a386' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a70429e1-48dd-45ea-b699-215a4be6a386' class='xr-section-summary' >Data variables: <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>lat</span></div><div class='xr-var-dims'>(trajectory, obs)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(200, 1), meta=np.ndarray&gt;</div><input id='attrs-bda37dd4-3022-442a-9b3e-4f5b3a717d48' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bda37dd4-3022-442a-9b3e-4f5b3a717d48' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-176af126-40a9-4448-a9f9-66c49f7f7f67' class='xr-var-data-in' type='checkbox'><label for='data-176af126-40a9-4448-a9f9-66c49f7f7f67' 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>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 106.25 kiB </td>\n",
       "                        <td> 800 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (200, 136) </td>\n",
       "                        <td> (200, 1) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 136 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"131\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
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       "  <line x1=\"64\" y1=\"0\" x2=\"64\" y2=\"120\" />\n",
       "  <line x1=\"68\" y1=\"0\" x2=\"68\" y2=\"120\" />\n",
       "  <line x1=\"72\" y1=\"0\" x2=\"72\" y2=\"120\" />\n",
       "  <line x1=\"76\" y1=\"0\" x2=\"76\" y2=\"120\" />\n",
       "  <line x1=\"81\" y1=\"0\" x2=\"81\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
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       "  <polygon points=\"0.0,0.0 81.6,0.0 81.6,120.0 0.0,120.0\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
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       "  <text x=\"101.600000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,101.600000,60.000000)\">200</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(trajectory, obs)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(200, 1), meta=np.ndarray&gt;</div><input id='attrs-ae94b063-7c27-4200-94dc-cbff4c2e1552' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ae94b063-7c27-4200-94dc-cbff4c2e1552' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a19d235-8cff-4f34-b5d1-1906b0e42739' class='xr-var-data-in' type='checkbox'><label for='data-2a19d235-8cff-4f34-b5d1-1906b0e42739' 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>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 106.25 kiB </td>\n",
       "                        <td> 800 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (200, 136) </td>\n",
       "                        <td> (200, 1) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 136 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"131\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
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       "\n",
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       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
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       "  <line x1=\"8\" y1=\"0\" x2=\"8\" y2=\"120\" />\n",
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       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"120\" />\n",
       "  <line x1=\"29\" y1=\"0\" x2=\"29\" y2=\"120\" />\n",
       "  <line x1=\"34\" y1=\"0\" x2=\"34\" y2=\"120\" />\n",
       "  <line x1=\"38\" y1=\"0\" x2=\"38\" y2=\"120\" />\n",
       "  <line x1=\"42\" y1=\"0\" x2=\"42\" y2=\"120\" />\n",
       "  <line x1=\"46\" y1=\"0\" x2=\"46\" y2=\"120\" />\n",
       "  <line x1=\"50\" y1=\"0\" x2=\"50\" y2=\"120\" />\n",
       "  <line x1=\"55\" y1=\"0\" x2=\"55\" y2=\"120\" />\n",
       "  <line x1=\"59\" y1=\"0\" x2=\"59\" y2=\"120\" />\n",
       "  <line x1=\"64\" y1=\"0\" x2=\"64\" y2=\"120\" />\n",
       "  <line x1=\"68\" y1=\"0\" x2=\"68\" y2=\"120\" />\n",
       "  <line x1=\"72\" y1=\"0\" x2=\"72\" y2=\"120\" />\n",
       "  <line x1=\"76\" y1=\"0\" x2=\"76\" y2=\"120\" />\n",
       "  <line x1=\"81\" y1=\"0\" x2=\"81\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 81.6,0.0 81.6,120.0 0.0,120.0\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
       "\n",
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       "  <text x=\"40.800000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >136</text>\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>(trajectory, obs)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(200, 1), meta=np.ndarray&gt;</div><input id='attrs-0c42de3a-c6e5-4234-a523-a9ed1dd05a11' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0c42de3a-c6e5-4234-a523-a9ed1dd05a11' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ece79db0-b58d-45c6-8bd4-429abd1f8df4' class='xr-var-data-in' type='checkbox'><label for='data-ece79db0-b58d-45c6-8bd4-429abd1f8df4' 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>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 212.50 kiB </td>\n",
       "                        <td> 1.56 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (200, 136) </td>\n",
       "                        <td> (200, 1) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 136 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> timedelta64[ns] numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"131\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"81\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"120\" x2=\"81\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"4\" y1=\"0\" x2=\"4\" y2=\"120\" />\n",
       "  <line x1=\"8\" y1=\"0\" x2=\"8\" y2=\"120\" />\n",
       "  <line x1=\"12\" y1=\"0\" x2=\"12\" y2=\"120\" />\n",
       "  <line x1=\"16\" y1=\"0\" x2=\"16\" y2=\"120\" />\n",
       "  <line x1=\"21\" y1=\"0\" x2=\"21\" y2=\"120\" />\n",
       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"120\" />\n",
       "  <line x1=\"29\" y1=\"0\" x2=\"29\" y2=\"120\" />\n",
       "  <line x1=\"34\" y1=\"0\" x2=\"34\" y2=\"120\" />\n",
       "  <line x1=\"38\" y1=\"0\" x2=\"38\" y2=\"120\" />\n",
       "  <line x1=\"42\" y1=\"0\" x2=\"42\" y2=\"120\" />\n",
       "  <line x1=\"46\" y1=\"0\" x2=\"46\" y2=\"120\" />\n",
       "  <line x1=\"50\" y1=\"0\" x2=\"50\" y2=\"120\" />\n",
       "  <line x1=\"55\" y1=\"0\" x2=\"55\" y2=\"120\" />\n",
       "  <line x1=\"59\" y1=\"0\" x2=\"59\" y2=\"120\" />\n",
       "  <line x1=\"64\" y1=\"0\" x2=\"64\" y2=\"120\" />\n",
       "  <line x1=\"68\" y1=\"0\" x2=\"68\" y2=\"120\" />\n",
       "  <line x1=\"72\" y1=\"0\" x2=\"72\" y2=\"120\" />\n",
       "  <line x1=\"76\" y1=\"0\" x2=\"76\" y2=\"120\" />\n",
       "  <line x1=\"81\" y1=\"0\" x2=\"81\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 81.6,0.0 81.6,120.0 0.0,120.0\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"40.800000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >136</text>\n",
       "  <text x=\"101.600000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,101.600000,60.000000)\">200</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z</span></div><div class='xr-var-dims'>(trajectory, obs)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(200, 1), meta=np.ndarray&gt;</div><input id='attrs-46cf3e83-4e92-4ce5-9d12-5ca6be02dda2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-46cf3e83-4e92-4ce5-9d12-5ca6be02dda2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-761f5d72-fc2c-4278-8fe1-d1855607cd01' class='xr-var-data-in' type='checkbox'><label for='data-761f5d72-fc2c-4278-8fe1-d1855607cd01' 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>long_name :</span></dt><dd></dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>standard_name :</span></dt><dd>depth</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 106.25 kiB </td>\n",
       "                        <td> 800 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (200, 136) </td>\n",
       "                        <td> (200, 1) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 136 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"131\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"81\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"120\" x2=\"81\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"4\" y1=\"0\" x2=\"4\" y2=\"120\" />\n",
       "  <line x1=\"8\" y1=\"0\" x2=\"8\" y2=\"120\" />\n",
       "  <line x1=\"12\" y1=\"0\" x2=\"12\" y2=\"120\" />\n",
       "  <line x1=\"16\" y1=\"0\" x2=\"16\" y2=\"120\" />\n",
       "  <line x1=\"21\" y1=\"0\" x2=\"21\" y2=\"120\" />\n",
       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"120\" />\n",
       "  <line x1=\"29\" y1=\"0\" x2=\"29\" y2=\"120\" />\n",
       "  <line x1=\"34\" y1=\"0\" x2=\"34\" y2=\"120\" />\n",
       "  <line x1=\"38\" y1=\"0\" x2=\"38\" y2=\"120\" />\n",
       "  <line x1=\"42\" y1=\"0\" x2=\"42\" y2=\"120\" />\n",
       "  <line x1=\"46\" y1=\"0\" x2=\"46\" y2=\"120\" />\n",
       "  <line x1=\"50\" y1=\"0\" x2=\"50\" y2=\"120\" />\n",
       "  <line x1=\"55\" y1=\"0\" x2=\"55\" y2=\"120\" />\n",
       "  <line x1=\"59\" y1=\"0\" x2=\"59\" y2=\"120\" />\n",
       "  <line x1=\"64\" y1=\"0\" x2=\"64\" y2=\"120\" />\n",
       "  <line x1=\"68\" y1=\"0\" x2=\"68\" y2=\"120\" />\n",
       "  <line x1=\"72\" y1=\"0\" x2=\"72\" y2=\"120\" />\n",
       "  <line x1=\"76\" y1=\"0\" x2=\"76\" y2=\"120\" />\n",
       "  <line x1=\"81\" y1=\"0\" x2=\"81\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 81.6,0.0 81.6,120.0 0.0,120.0\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"40.800000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >136</text>\n",
       "  <text x=\"101.600000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,101.600000,60.000000)\">200</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-99e3676c-0c6c-444e-bf16-ff44726f954c' class='xr-section-summary-in' type='checkbox'  ><label for='section-99e3676c-0c6c-444e-bf16-ff44726f954c' 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>obs</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b9ac6e37-ce21-4e1f-8ca3-e587d053e197' class='xr-index-data-in' type='checkbox'/><label for='index-b9ac6e37-ce21-4e1f-8ca3-e587d053e197' 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(Index([  0,   1,   2,   3,   4,   5,   6,   7,   8,   9,\n",
       "       ...\n",
       "       126, 127, 128, 129, 130, 131, 132, 133, 134, 135],\n",
       "      dtype=&#x27;int32&#x27;, name=&#x27;obs&#x27;, length=136))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>trajectory</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1d1c4255-4a31-44b4-8566-b7ba3cd5f4fa' class='xr-index-data-in' type='checkbox'/><label for='index-1d1c4255-4a31-44b4-8566-b7ba3cd5f4fa' 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(Index([200, 201, 202, 203, 204, 205, 206, 207, 208, 209,\n",
       "       ...\n",
       "       390, 391, 392, 393, 394, 395, 396, 397, 398, 399],\n",
       "      dtype=&#x27;int64&#x27;, name=&#x27;trajectory&#x27;, length=200))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ccacfd13-e92e-4588-be0b-01276f92127d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ccacfd13-e92e-4588-be0b-01276f92127d' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.6/CF-1.7</dd><dt><span>feature_type :</span></dt><dd>trajectory</dd><dt><span>ncei_template_version :</span></dt><dd>NCEI_NetCDF_Trajectory_Template_v2.0</dd><dt><span>parcels_kernels :</span></dt><dd>ScipyParticleAdvectionRK4</dd><dt><span>parcels_mesh :</span></dt><dd>spherical</dd><dt><span>parcels_version :</span></dt><dd>v2.4.2-370-gd0cb4110</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:     (trajectory: 200, obs: 136)\n",
       "Coordinates:\n",
       "  * obs         (obs) int32 0 1 2 3 4 5 6 7 ... 128 129 130 131 132 133 134 135\n",
       "  * trajectory  (trajectory) int64 200 201 202 203 204 ... 395 396 397 398 399\n",
       "Data variables:\n",
       "    lat         (trajectory, obs) float32 dask.array<chunksize=(200, 1), meta=np.ndarray>\n",
       "    lon         (trajectory, obs) float32 dask.array<chunksize=(200, 1), meta=np.ndarray>\n",
       "    time        (trajectory, obs) timedelta64[ns] dask.array<chunksize=(200, 1), meta=np.ndarray>\n",
       "    z           (trajectory, obs) float32 dask.array<chunksize=(200, 1), meta=np.ndarray>\n",
       "Attributes:\n",
       "    Conventions:            CF-1.6/CF-1.7\n",
       "    feature_type:           trajectory\n",
       "    ncei_template_version:  NCEI_NetCDF_Trajectory_Template_v2.0\n",
       "    parcels_kernels:        ScipyParticleAdvectionRK4\n",
       "    parcels_mesh:           spherical\n",
       "    parcels_version:        v2.4.2-370-gd0cb4110"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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+OJo/d4tVoTjL7zFkPKs99l7ua5xKvnVryJ+/3WdvEtKtWbiWyWrDQRYlTUfn0lKdy+sNRlHG3iiei6DFHDGhiXuOq/IJ+mhRtbreJ5Xwqah4vJxOND+Ls1ooizlXSzWL1aZzItbhLBYrPqMwZRRn6JRcWq5zea2BzIv5Se39zuLMvmfeTjsWQ6MwZRxlDIIE19Lp1i2uH/rcGoYYmoZlCOI0R9cFtmng6IKCgqJUQZ8AiSzoegaX15s8v978WLTIZtzPh+jd2mNLDZOnVprvGM9xFn6UcqMfcrMfEmcSITQOJzFZXuKaOp891+LCUm3uYn1WjtjptlgiixPCqRJAj5dK+LxPKuFTUfH4kHnBjb7PtSOfw0l8ZqUGOPPd9+lk87OCPM/itKBZFDsPi9kA9c1+wM1BQJ6XWKZOnEhu9EM0NEwdUlnwVs8nySQCMDSBY+vIvGQcpYSJxDQM2p7F8xtNntts4poGiPKE6/KD3O/HLZTuJ4QW22O3+iGG0Hhiuc4XzrffV6VrNpvU8xNe2R1xox+c2ATbbDtsNJ0TIvL0cfX8GD+RHE5ixqEklJLtrsfnt5p8/8WVD+XxqHjvVMLnfVIJn4qKx8uDVHzg/mvSs48/DszuK5QnKk91V8cROv0o5crehJ6fEqeSum3S9gyEENzsBxyOI0IpAY0lz6blWdRsHUMXdGsW250ayn7wJItD1aMoZblun/Df+Sg8fqdF2e4g4Ds7I3p+gmXorNTtMweQ38uxy7w4cxPM0gXPb7Z4brN1z+3NK3d+wnduDnl5Z8jBJKYfJtRNna88u8bf+r7zH4nH8NNGJXzeJ5Xwqah4/LxXj5yPM6cdlWcszsL0fBUwOhMsiSzp+TFplnPgx+z0Q4IsRysKwjRnFGV0HItuw0YIQZRl89sVaPOh6iwvyEtwdA3PUZWjS6u1x5bR9W7sDgKuHEwZBsk9W1inh6LfqwCabYK9vj9GFup+P7/RZKuttuzu932v7I74r6/u8+2bfZKioOVYfOXZVf6nZ9fv+30VD4dP5FbXN77xDX7913+dl156ib29PX73d3+Xr33ta/Ov/+RP/iS//du/feJ7vvzlL/Onf/qnj/hIKyoqPggfpZPtw+B+CeKn7/fdKIrWiesogaQu6/kJO/2QQz9iFEp2BgHaKEQrYW8SASXxcQsQwDZ0ZJ7TrdkkRcnUTxiGGUJXAuJmL2Cj47Fct1hqWGw23I9MJWirqzbGFgeQZ+Gsi9thqy2Li936AwugxU2wmmPw2t6EWOa8eTDhRs/n+TDluc3W/LqL3/eFC12WmzYNW+fPbgwoi5Jv3RoRJ5IfvLzK5bVq9uejxsfq2QiCgM9//vP81E/9FD/xEz9x5nV+7Md+jN/8zd+cf25Z1pnXq6ioqHgc9KYJfpIdt63M+17vnRyfz87p6sxbZ9f7PqMgJZY50zjHj1XbUGgaWVlQFJDlJbahMdU1SlGQyYLS0Ihkwd4oYmcQkuUFbcdgve1yabX2kfAYWhSDZw1Fj8KUg0nE2/sBT67X3rMAmkVi7PZCXt8fE2cFf3lzyJ1RTLdhst2usX4qkmOrU+P/+5XLPPHaPt++NaTvx4zinD9445Crh1OeWW/y9Hpz/jMqHi8fK+Hz1a9+la9+9avveB3btllfX39ER1RRUVHx4Mi8wE8y4qxgGITc6JXzPKxF2p55Ig393QaR59lbbdXmefFCh/1xxNE0nbfJADKZszuMiNKcoixpOgaDMCXONISmNqg6ntqgGkUpkzBjEqXsjiNe25uw3XFPeAy9n7bSh8HprLEZ++OIb90acHuYcuRL/JvZ+xJAW50a6013Xv0J04xbg4AbvZK9dswXL3RYb7n3VH/+5gubPLPZ4MqdqcoISyS3RzGDIFOVqKb92B6zirt8rITPg/CHf/iHrK6u0m63+eEf/mF++Zd/mdXV1fteP0kSkiSZfz6ZTB7FYVZUVHzInF4bP83sRHO6WrHYdlp0fL6fad7ssveTOWXogrptIosEWeYMw/Se7TWhCWThztPQdcE9HkJnOQov3idYFAWNE8Lp6qHPzb6q5jimYJxIkqxQLaM0w0kNdA3KXMPQIQeKXBLEBftjjf1xSrdm4FiCGz2bjY4zFxWnj+FRsPjzZq2wG/WAq70J0yjjyI/nAuiZjQZbHe+BhMdi9WdvGHPlcEwQq+fsWzdHrLZCLnbr91R/Li412GrX2J9EvHFnwo1+gBAl/SBhEisBtNl25sdx+j5UPHw+tsPNmqbdM+Pz7//9v6der3PhwgWuX7/OP/kn/wQpJS+99BK2ffZa5y/8wi/wi7/4i/dcXg03V1R89JF5QZxKRnHG/ijm5iDgaJIQJDllWaJpyg6wZuustxzysuRoot7orDRtdKERJDmOqaITolTFUFhCIy0LTKEcmpueiaFpjOOMKM1Zrtuca7tYpsDV9RNp5Ke3y+4nxE77xCyKn7qrAzCJJHlRoguNvCjoTVNMXeBZxglHYbjrSTSJ5ImNuKW6hWPqBEnONM5oeybdmslaUx3ztZ7PSzeH3O6HZEUBAjRARyDLnCzLGYc5mg6ureMaBkVRksoS1xLUHZOlmsVm26NVM+6ZCfowAknfK/Nh5aO7Akhogm7Nxjb0ufCYWR682/Et3t6BHzMOM5IsZ63p8PmtFhdWGvf9vlmI6mwmKS+UI7ghxNyKYbVuV4PQHwKf+K2us4TPafb29rhw4QL/7t/9O378x3/8zOucVfHZ3t6uhE9FxSPkrOiJsz5f/PhgFPEn13q8sTclSFNMXafnJ0xiyThMyIsCXWjYuqDl2Sw1bFKp3nlrKEFgmQZpUqDpJS3XxhAQJjm2pZNnOUUJYZZTd3S6nk1elEziDE0IGpaOZehAyWrTYaXhUHf1+daVLPMTK+PA3HG5Zhpz0dTyTMbHyeez6wFEecn+SK26r7draKVq5cR5Tt1S4Z+pVI/FzIU6ynIOJxF7o5CiLKlbFqsth7wEmUs01MnfswxsQ7BUt9jqeNRtnb6fzANZ/TQnTCSjMGEQSIZBQt0WattJaAyjBHHsMW0bOnXHoGZbUJaYQpvPBNm6jmcbOIYaHl58Th8FM8GyO4gYhskJ4TEzuXQt/YEdoWVezNtpe6OYvChYqtl8brszH36+3/fB3UH0O5NoboSYyhzX1Hl+s1UNQn9APpFbXe+VjY0NLly4wFtvvXXf69i2fd9qUEVFxYfP6QrI6Pik3/eTedUizor5503XZBhk6IJ55eLakc+b+yNeP15tLgto2Dq2qZMWJQINyzQRGniWTsu1aDsmWVkSpTmUJW3HQtcFCQWuJbAtnSwtEJRYQkNzdQZByjRKSaWBq+t4rkEkJX4smeiCUtMQmsbRJMZzTGqWgalrmKZOnObEqSQrCiZxdrx2beAYOkVR0vAMZFFiGzphIgkSVakpyhLPNrB0nSjL0QW0HUmnZnFh2WN/HFEUGlkOeQFBohLi40yioZFkJRoCXQNT1ynLElPXCRMIEjXwbOka0zjHFIKVpsN601GeOG2HF7ZaJ56bV+6MuHrgk+Y5QoM4K5FFqYRRlGKKFE0ocQWQJAW744hXbo8ROti6hmeZbLY8OjWLtmeeaPPAwxNCi9tasLABN43QdY2+nwAa4yhjrWm/axvM0MW8nfb2/pQ3DyegqduJU3lf0XJ6Jmnb99gbxRyMQ/bGkkks+cM3j+aD0E+s1D/yMSQfZz7Rwqff77Ozs8PGxsbjPpSKik8V92vvzETOKEzJi5K6q5MXJbuDkGtHAZoGLcdEF9APMur2ccvneDNJFjCJE6aRajn5sZpPabomnbrNatOl6ZjULQPPMajbxjwFvWmbhGkxH/ZdaljULVVtQStBg/4kYRilNGwT1zbYH8fsDELKsuTCcp2lpk3bs9kdRMiiIEozyrKkFCWDMOZwUtLyTDRNI0ol4zAlkwWJLFiq28SZxLMMMlkQSZNESkxdRxaqEiGLHDQNUxfouoanKQF16MdYlqDlqoypuq1yvKJE0g9UFpkQSmCsCo3nN5vK12bBqHB3FJIXaqNrHGWEWs4wThiEMW8dKG+fRRE0EwE/9NQKP/TUCgfjiEEo6QUxQz/lrUMf2xCqOhTlpGmBY+kgwBIaSSaZTiXTJMfQ4cr+hKar0/Vc1lou601n7r3zsOddTguPnu8RZ6qqdegnJHnOrUHInVF8Yv7mfscyu51uw6bvJ6w2nQeu1CyKsRe2Wrx+Z8wrt8dM44jbo5hbg4i2N+R81+Xp1cY8oLbiw+NjJXx83+fq1avzz69fv87LL79Mt9ul2+3yC7/wC/zET/wEGxsb3Lhxg3/8j/8xy8vL/K2/9bce41FXVHyyuZ+t/+KcSSoLWjX1cjMMUq7uTxjH+fyELYAgyQjSgpGZYBsGmczxI+349jUmaXZc4SjIS4FrCbqeRadus9F02Vqu0/WUyNlu381cmnG/dPPZZaMww9ZDvOM185ptsFJ32Gg5AMrj5fiy1bpFJAvyoiCTqgISZzlH05S2a+BZBkEi0TWBLAqEprHRdGl4lmq/TBN0SjShKkbdmoOhaQSJpGYZPLlWZ73lMg4z7kwiADqezbmOS83SkUU5T5/37Lsr8WcNPs/u4/aSqjJAiW0IJmHGlaMJ/WnGIIjpR/GZImi1ac9DQlcaFs9tqHmWtw6nfHdnzI2ezzSWyLIkL0uyvMBzbTyjxLZ1jGlKnOUEcU6Q5Az8lNujENc6vu+ey0rT4VzbnYe/LrbFFu/Hh8FMeMxme7rjaN5+kkVxjwC6XwipoQue22y9Y6Xn3Y4DmA9Qv3FnwrUjn3Em6QUJ/WnM1QOfSys1nltvVgLoQ+RjNePzh3/4h/zIj/zIPZf/3b/7d/mN3/gNvva1r/Htb3+b0WjExsYGP/IjP8I//af/lO3t7Qf+GZVz84fH4xhqrHg0LM4snA5ynCZynmqdyYJeEHM0zWg6JisNmyDJ6fsxcSZJ85KmbXGu6yGAaZpBqdGtmxQ5FCjRYwgNXWgUJUyiDM8WLNccGo7BUtM+MVAL7/8k+U6zRqcvm933mZCYuSm3ayYtx2IcZidmdmbVl/1JTG8aE2c5RanR8Uw82yDNcoZRylLdoeNaGLpgGCaggYbGUs1io60qBbM8sbMqa+9030/PSs1aP30/5sCP5yIop0QroW6bXFyps95w0IXAT+R8Nmi7W8MxVJvnrSOfK/sTDsYJsiixdDANA0fXiLOcpCgoigKZl8RZQZjkxLLAMtTG2nLDwdY1ylLgWGLeFps/dg+5KrT4WMyiKyghTHOajs5Tq42H7sMzG4R+88Bnp+czijJ0XUPKkpplzAVQNQR9fz7xw80Pi0r4fHBmf8AyL6nb5ntOUa746LF4wlyMUQgzNccSHw+N+pEkkiqAsyjV3ElvmhBlkhzYark0HBPPNklkjq0LLEPw7EaLzbZzIjvKNgRBkmPo2jxH6n5eNh/myWgWILr4+Wze4n65Te80kL3I4uM3E4unE+JnG13DIJ1vcXWPN39kwYmV9tNBrGcNgj/IwC5wjwgaTDOCNKdp69QcnRINJfIM1lsuHU8JE13ARtulbum8deTz2u0J/SBGaCALSLOcUEqiMKftmXiOQZipNqXQNDRNwzEFwzAjlhKt1DAMMI+rYZrGvCq0UrfpNsyHtj6/KIB2R+GJ9Patjjf34Vl83B+GCJN5wfVewBt3xtwahnMBtNqweWGrfWaGWEUlfN43lfD5YOwOA17dHXNnFLLR8Xh2vclWx6v+SD+GLKZYL1Y2Dv2Eg3FEXoAfqZNjUYKfZAz8hKJUgZuupWOZOuMwJU5LNA22Oi51x2Cj5bBUt1lrOfN18Hfb5noQ3sv3z04wJ1LBw4Qrd3xuHPmEMidMJWlW0PEsnjvX5DObrfmg7GLV5b0Oor5TJQnuzkL1/JhU5rQ8C1mURKlkGGSYumC1YbPadIizYi6GFhPqZ+0px9Af+ES9KIJuHPrsTWMymSMLiNKMIC6wDcET6zUajkmQ5BQFJ0RQ99h08XCa0g9jDsYJO6MIP0oRaLimTrtm0TkOVNV1DT9Wj/XuIGR/HJPJgoKSoiwxdY2abaBpEEQ5DdfgydUmT602TswiPQwBNEtv1wXYhnHP4w7lQzUkjFM5F0C3RyG2aWDogqfX6zy53LjHQ+jTTiV83ieV8Hn/vHxzwJ/f6LM7CKnZJheXPP7q0ytsdarS7MeBxRPvG3sTbvZD4kxiGIK8UO96bV0wjjIGQYofpYySjCIHzxJMYkkiCzQ0VhsOTVcNF3uuiatr6Lqg4Rhstz1ankndtebiasaDVE7uV01ZbLvNRMA4zECUrNZs1lp3T/6jOOPV3Qmv3h5xMFFtp7wsSTJJLHNKwBRqlqZAbYnVbZ22Z7LccEmSHKFrND2DjufQrZlzUbQoMBZjJxbv67sJtNMttTjL5zM99xNDnZqFdfxcAdi6QBcCKI8Hq0+eqBd/3v1+H2aP6ay6l8mcpmvRtNX81O4wRIgSyxSYQmfgpxhCPc9tz2Sr65HLgpdvD3lzz6cXKmGsFbBUs9lccrm0XMc11Gr+jUHA0I85mMaEiQRNw9BUi63npwyDBFPXaHkm6y17Pij97HqDcx13Phv0YYmQ0z48i497Kgv8WGII8UAD0R+EOJW8dTDltb2JSqfXBWtNhy9e6LDVrV5fZ1TC531SCZ/3x8s3BvzR1SMGQUpelmy3Hf6HJ1d4YbvzuA+t4l1Y9DoZhSlH04hbg4iiyKk5Fm3XogQ0SkZRwijMEAgMXaMoStAEnjk7yStPm1mu09JCm3MUZewOormJ3mJ7B+5t+bQ9c97ums3KNByDmmkQy4L+8XaWrgsymROlBUmeI/OCtmsSyYKBn7E7DMlz5dVTSMiKghIYxynDICWVaig3TY/FiAZ126Dlmdi6asWkMifOS/K8xLN1ZfCnG3iGhmsZxMdeP7ZpEIQZQtfYaHlsdjyeWKkRZTmTSBJnEjQYTFOmUUbDMzENjSwrKYqSTt3miZUayw2L9aZ74jmqu9Z9xdBZFR/bEAyCFDTuOVHPjPMepFpxeqZJljmGJjANVQ3USg0/kQSJGsSWssCzDJ5YaSzESZQYmsbtSXhCAOloWLrgybU65zsejmWo15BcmTaWlIRZztCPefvI53AUkxQ5Ah00sA2oOWqmquWq6s+lldqHLkLOetxng+eLhoSLxogPgxu9Kd/dHbE3inFMnYtLNZ7ZaJ45DP5ppBI+75NK+Lx3bvcD/vOrd9gZxAih8X0X23zhXKcawvuIs+hG+8bhhN4kpu/HZBIKcizdpOno1B2TWEqKQs2d5KUSBt2aTc3WOdfxON/10IWa1TjXqc1nvGYnZlnmwN25lVl1IpU5R5OYElUBsE19PuSrH7/THxxb/ceyoJRg6IAQjIOEoigwTJ0iL8kL1XIydYFtCNBKkrxgEkqgZJJItVqeqIqOYQh0TcMxdXQBcVqQlQWWENRck+WGRc00WG04JGnOtb7PwTim5pk4GmSlhmWAjsYkUa2aROZKHFkGNVv59rRcE9MQCDRkCVmeE2YZaVZiCYFpCtI8J05LBCUt18QxdRquRd1RbaOVhs3nt9tcXlUbVWdVhk5/PpsnOn2inhnnqcdJuRhfXK4/0Cze4gacn2SEiZyLq1QWHE0T7owi4jRns+uw1nIQiLngWmva2LqYC6AjPyHNC2q2zopn065b9P0EQ9d4cq3Oc6tNdENwNEnp+wmJzDmYxhxNYkZRSpSoWaFYFhgGNEyT7aUaay2Xp9ZqD6UdtBhnctZAdMszeWat8dAqMfvjiBtHAf0gpnu8dViNEygqA8OKR4LMC3bGIcNQ4piCz51r8397dq1yH/0IMyvf7/Yj3upNuTOIGEXpsYleTpRlCF2w2RDowkQWJZnUKChxLZO2a7DZ8bi0WlNW+53avGIUpjlBMrmn0mAIgWfqNG0LDW0+vHxnHJFkJUEqSbMS29JJspxJlKEbGkkquT2ICDOJRkkBx/ENEGUFugbkqk2V52AbGrapE0kNgUDTSlxTEKYFriEw0KBArVxbOisNh+2WS6kLmpbONM1BK1SbBbVNZZmCbsPGspTL8krdRQiNSEoyWZLIHE1LiBJJiXIy1gX4kWQcZhz5KZ4tEJqgbhtYukBKcHQdebz+nUuOBUnB3jTB0wWeY1BzDPKixBY6390Zstxw6HgWl1ZqPLveZLl+b1XjdF7X4ol6Zpw3a13JomASKyPC0+v/ZzH7+nLDnl9/UVw1bPO43VZAqdGbZORFQV6WtD2L26PoWAA5nHvGY9+PuXEUIIucds1i4KcMglT5Dg0iXt+d8Py5Fs+uNbi8qowD96cRvUlGz4/Zn8YcjCJu9QLGUco4lxjjkP1pzFv7Yy6vN/kfn1u7J1D0g7AoOhcNCXf6IVePfG4PlfDL8+K+URYfhLteRKr6VLff/XmrOElV8TlFVfF5b+yPIv7bawcc+TGdusnf/MxmVXb9CDI7+e2PI16+NeSNgwlSlozDlGE0ay2UGLqgKFTZvumatD2Lmm3QrVkUhaqgLDctLnTqBEl+PPSpBp4HQUrdNuazJbIsWPIsZAG9IMbQ1PzJrCXjx5KdUThffZ/NphRFiaapba8wkUwilV5eUjIJM7K8QNM1dE1gGVBqMAkyYlkiNI00U7NGqZTYhqFcmW2T7ZaLbShh1Y9i6o6FpevUbJ2iLFmpOWx2XBzTOOFBNHOPnkSSm/0AxxQYhsbRJGEUJiw1bEaBZBTETGLJkmdjmRo3+iEH45hSK2k4Jl3XpOFaNB0Dy9BwTJMgyUhztf49iXJGccLRJEbXdHRTwxGCXpgi80LNWBk6pq7hmAZNx2SpbrHW9mg7Jg3HOOGBc7+h67PW8be7tQ+0fflOVZBxmJDlJQ3bxLbUxtqsNbTWVN5EeV6QlSV3RhE7/YgbPTVcPmuHuaZOp2bh2gZLnsmlpTqX1xv0goTdfsSVwzEHo5gSga6V3B6HjIKMbs3mM+faPLPx8IeB41Ty8u6Qa4eB+r2o2Ty/2XqoG1iVZchJqlbX+6QSPg+OzAv+7HqP125PkEXOi9tLfP+lbvWH+BFidiKKs5xplPHGwZTX9ybESY6fpqRZTqmpNlOnZlOzTMqipOEa5GWBY5p06gbnGh6HgRI3Ldc8rrqcHKKd2f7buiDOC8ZRxlLNwhAah37CMEhIZUmnZs2/348ltqErB+DjttYsgqFm6XTrNnlREGaSslDtqUwW+HFOWUIic0pKhsdRD0WpIhwyWagMJEtgmwYd1+Z81+O5cy0sXb9nJkYXqp201a3ddw19Mf3dsQziVBnNyVzFYCzO2uRlyfXDgEEQs9r2KIqSmqVO3pauz+M3ZtEcsyDRcZjhJxJT1zB0jWGQcrPvM41ygkwSxOrrALoQNGsmXdembhv4icTSBReWawhNI05zlpsWnz3Xpu2aJ+7DrCL7MFeyZ5thr++PkQVomlp71zWNMFOtz7Zr0Txu543ClKW6Rdcz0XXBd3aH83bYOEqIUvWcrzRsNlseT683WW3arDQsbNNgdxABJbYp+PbOgDfuTImlBASeIbi83uQrT688lCrMjN404cqdMW8eTlSumS54fqPJk6uNytbjEVC1uioeKjIveGV3xJv7PmlesN31uLhSeyyip3rXcy+n06SLvOBomrIzDEjSnCTP0QpoOBadmsN6y+Jcx0Mcp5l7lloznkTqJDsIUxU4aRp0PYuma54YotWFxqUlj2GUca3nMwxTGo5JUZbYusDQBJZu0HZVqKefSo7GCXXXYLPuoKMRZpKWa6ALVfXRhYYsSkZBxiTKSPJy7ilTaCUyLxCiJMpyhFYyCyovDIEhjteOG+58wHi95dwjbO63UXUWp7/uWAZbC+vsp2/381vtE9c/bTr4bhtss5X2mm3i2oI8L+dCqOcnDP2MIs3R64IwldweBeRFyTBOqZm6EpVHBq/fGdOtO2RSJc/XHYPPbLZ4/jhU82H8/Sy2gWqOwWt7E2KZk2QFGuDZump/2oJSK+azX8Mwna+LP7PeYr3hsD+N+d7OmN40JsrU831z5NMLYmxDZ7Vh84NPrfDZc815hWul4fBkV2VpvXJnzO1RxChMmEYpP/zM2kOrwiw3bNpPLdP0zPl9DtL8gVuJFY+GSvhUvCdm8yGv7oz53u0Rhi7YaLt8bqv9yFtclVHiXU4PtL69P+XK0ZSBn3E4DsjykiBTA8ot12C16WEKgRAl6y2XtaZDw1UvB0GSk8iSpmHQ9VR1YuYJ85RRn2/L+FFKL0y4uh9wMI4xLZhGkjgrsHSBZqvcrbxUJ2zXEqw1bI6ChDTLsU2Nhm0QpmrWpCwhzgqyrCSS6uumKbBMjTTIEWgst5y5i/A4yvBmrZNT5EWptpaaztzR+X7C5oOejO53u6fn3M663jsdy2yOZsZMCNmmzkYiSVJJmhcs1R2S4yT5gR9T5CXDJOXIT4jzDNsw8QwNDQ2hCyxD5/pRwJX9KaYuMHWNy2sNzne9M4/7g2DoYh7JsDeM5+2vMMnRUJtwNcvA0HSKAlKZz8NDJ1HGwTRhs+XwY5/ZIEgk0yRjbxIxDCQ9P+JoGuMnkijNmcaSJ1bU7+dMdF1YqaEbGq/tjDmcRLy2N2ESZSeu+zBE3+w+H01SoKR97MRd8dGganWdomp13Z/9ccR3bg252Q/wE4nMoWYJ/urlFb5woftIj2V3GPDGnQk7g+BTbZS46LWSFwW2LviLW31e2RlzNI2OB28FlqGBJmjZBlvdOq1jkbPadGjXLMZRdqLtoAvY7tbmJ95FF+A4lbx1OOU7OyNu9ALiTGIagrZrU3cM8qLgieUGa02bIJYcBAlJKmk4Jpapqw2powBTwGrHQyvVfIRpCDShzbeOVo4HeXWhzWdulurWCWO+dxO7i9WWs1yNT1/vo85ZUSGzlt3AT9kZhUhZsD+O6E1j+mFCkauWYLtmIzSI0hzH0mnXbFq2QdNVbbasUOaEn99u8/Rac16h+jCP/awtqKWaRbdmKSPGOKXtWZhovLY/YRAmmEJnteGw2XY411Eidm+kNhCv9XzujGJimbPeUO7Oz643uLBUm4ua/XHEm3tj/vitHrujiLwseHK5Mff/ubBUe2izPw+rlVhxNtWMz/ukEj5nszsI+NNrPa4e+McW8zrnuy5PrTR44fyj8+qReTFPM94bR1iGzkrd+tQZJS6eRG4OAsZhQixLDkchu+OIm/2AsgDX0tk4jolo12w2Wg4rDWWypwuNlYYDaPP5nIvL9XvEzuKL91sHU/7iRp+rBz6pLFQuk6GxWleDwd2aTd3SqdkGR0HCIEiYxhnTMMc2BMstC1MXpFI5C+vH/am8KI/jK3TGUXYiD2qx6rF4XA8axTAKM0ZRQpoVJLJEljk10ziRrXVpqXHi57wfI8X7CauHOdh6+mcrQRRxcxAQpWo7rSgLolTSPp4vmkQZd0YRtqHTcJWIHIcpkzgnywsuLdXo1G1qls521+Nz250PtR22+Lt7OI3uMQTUgIZjMokzpnFGqaEE+YJXznrLmW82/em1Hjd7IYMoQUOjaZustVw+s9mch4wauuD1O2P++OoRvWlCnOdoaLQdiydX67x4oc1W5/G06is+PCrh8z6phM+93OhN+fatITd7IX4i2WjZ/MClZS6vNR7p2vqshTMbHIxlwVbb4Zn1Js+faz+y43icLM7u7E0ibh757I4iDschCMhLQZykhEmBYyvR85lzLdabLqYuMHTYaHnz+Zyluo1r6fPqyayiA9ALEt64M+V6z1f+JHWDUZhxOIoJslzZ99csnlpvst5wCNKMQz9lpWEzCFL6fsreKMKxBE3HmGc8NR01HD1roZ0VsfBec5hOC45ZWygvCiaJZOinjKIETRPEaY6uqUHpo0lKxzO4uFxjqe4wDJN5mOg7hY4uZon5iaTu6vPvmd2X2f06Ld4WhdvDmK9ZHMKeVTyOpimyzOf3Y2cUslRTxpQ1U+fqUcCb+2P2JzErDRvbMBAC6qbB57bbXFiuYQjtQ/WmWRy8v5/PkFaWuI6Oron5QPRps0BZFOz2Q64cTbjZC+j5KU3X5GK3hmnoNB2dZ9abPL3eZHcYsD+MuXI0oTdJmcQJutBpuybPbKhIkg9z9b3i0VIJn/dJJXxO8vLNAX95a8DhKMazDS4se3xxu/NQNyPOYn8U8cdXD+n7KXlRzFdFH7X4elzMThJv7095q68cbG8Ophz5KWkiKTQNgcZq08GzVFxAwzPYbteoWzoZymBuqWbTdEzaNZO6ZdwTcvn63phXdyfcHoVEWU6YZiSywNR11hoOTc9kGmZ06hbnuy6uYTAIE1XdmWagqdZFoaF8bUro1mw8y5i7BZ/VQlv8+EEqOYvfNxM5M8EhhGoFzQazJ1FGnKmV+UksGfgJlqHhWeoY8qKk6RoYQqfvq5mMpbqJEEoYNR2dhmPiJ5I7oxDXMlhr2hSlOpZIFji6jmlA07Ho1C00VFK9LgRdT4m4RcdqZd5YnJmldZoPo3p0+jFeFBwz24Dbo4hbfZ9pnDONUvxUYps6NctkveVQs3SeXK3z3EbrREbZB+X0Kvyiz9A4zEiyHMsQrLUclZh+bH2ga9pdAdT1SFLJX9wYcKMfqoy1vCBKMizTYK3u8PR6k422qngC7PZDXt8fszeKmWYSHY2lmsXz51p8fqtT5WB9DKm2uio+MC9d6/PNaz0GQYpj6Gx1Xb50cemRZ8PEqeSlW33ePgjIi4LPbrX5/FbrkYuvx8Ws0vWXt/ocjGMOJzGDICaIVVVH6IKuZ+EZOp8732al7syrO926TZDkxGGGres0HVXdmJX/41QeR0mEXD/yefvIZxgkRFmB0NTWTcdzWHJNNrouddskbUqyEiZJzs1BxJ1hxDRVTssbTYeGY7LScBgE6T3RCPDOA73vNpNzOqpBluokOBM5wyBF1wV7w4i0KGg6Bi3PQgsz6rZB3TZxhE5S5LRcC0vX6AcxoyghyUqiNFMzUaZGzTYRoqTUSmRZkJU5mgZCQJoXmLqg4Nh3yCyJs4KyzJRLs6ZxNI1VvIUGuSzoBQlBYtE49tyZJBJDUzEfwzCdh40ucjqGYjFi4r0Ij9OP8WljQ0MXdOs2bddibxzSctu83QvYH8UMpjHjMMGxDF7bn/K922OeWm2w2nSoH4vss/yCHpSzDAGhxf444lu3BtwephRZyTSSGEJDFgWpVKaInmUwieXxKju0PYvnLIM4zekFMbuDklGkUt/DTHJ75LBcV/NCW0seW0vefG2+FyYcBgnhjSF9P+WvP71S5WB9QqmET8WZvHStz39/84CjSULNMfnsdpPvO7/0yN8F9aYJf/52j5dujSjLknNdl89tt7iw/MkXPTIvuNnz+e9XDviL6z1uD0NAgxIQAtPUWW86PL3eol03sHWDrZYLusbRNKHu2BiaTsvR6Xp3xcdMTLx+Z8xbB1NujwLKUmMSpqAJXMdkuW7QdHQurNRZqVs4pkFRlFw5nHCzF5LlBStNZU5oGYIV02WpbvPsemMeR/HUav2BW1an3/Uvihso5x43/SCm7ig36ZngSY4DRmuWTlHCKE5Js4K6rTOOM2xTJ5QSWwimUYZraVAINFEQpiWygFRC0zI41/IIYknDMVg9To4P4hRd1+h6Dg3bwhIaaVkgsxIDuLhSp8gLDqYRuihBU7Eapq4GvjU0joKUw3GKpqlNtclI5XZ5lolrwu4gR5YFe6Novspv6DpBYmKbOrIoiNKCnUHEZtuh6Zr3rRa9VzE0+3/RhTjOclYaDq/tTegHNkeT6LjaWlLkBbeHEcueRSk0apbBWstWCwYfglCYHc9WV83c7LYihmEyD0mVeYkpBMXxenxaSGSp2o6TWKKhkZeo/K5zJn6aMw3VRtjOKGBvHHG9Z9LxLDbbLmsNl3NNj1vjgOuHATf7AUfTmGGQ8H///OZ8drBqf31yqIRPxT28dK3Pn97oc+jH1ByTF7fa/I/Prj/yllKcSq7sj7na8ymO15O//3yXi59w0SPzgt1hwB9f7fEnbx3w9qHPJFbVgXbdYr3p0LANTFPn8kqdZzdbKqtIaOiaBmh4pnGiuhOnEscyeOtgyrWjgCBLmUSSKJX4cUHLMWjXbdYaasC5WzPZG8ZcH/pcPZxStw1MXTCKMsZxRtNW0Q1PrNTnqd+LwZCnqxHvZAq4KHQGfnqPuBkGKaMoQx47+bqWQes4OHUcJqS5mqs5nBTUbANTqOF71zTIjxv5enlsmqfBStMhkjlxWqAZBW1hYWgaTc+k61oc6kBRHt/XhEmYkWuw3fGwTWueJSa0Et0UOIbAsHRKVDtR5gVRXDLwEzRRUrcNRn5CP4gwRIksSiZBph5PPSNKc7I8xzF1DicJYZJxrluj4cI41sj8FFNXlY6Ga3E0jQkSOU9eX6wWtT3zA7UST1eDunVb5UK1HXYGATeOQoJEUmglOyOVTWYbBq/cLrh+4PPly8s8v9H60DbC7laAuKcNZpqCIi+J4gIDZYmABnmRIwvl4m0bBp2aTd4sSPKSnp9wNEm4OQy4fjTh7SOLC0t1dCHoeAZPr9XxU8lOP+S7t0fEac75pfo8+LRqf30yqGZ8TvFpnvGRecErOyP+5FqPcZhiGAZPr9f4wSdXH6lHzuLWx5WDybFfi+DFrS5fuPho1+YfJTNfoj9684g/vnLAmwdTpklKWYJlGMfJ03We3mjiCg3TMliqWXOxc3pYeXbyu94L7hE7lALPVh44bdfkXNujZutMopRpKtVg7yRhZxAQ5TnrdYdu3aZmqWT0y6v1+Rrw/eZPzlq9ntH2VBCnH0vVWvEs+oHKCxsGyT3iZhhmTCOJ0Eq6NRvL1ImynLppEEmJqQtiWVAzdTbaHpeWPVxbecMIAUXB3BV51j4ahxmGrmFoGv0oRStLSk3jYByT5QVloTyNekGCrkHXM3FdgyQpCI4HwEE5TC+3XLQSJkmC0DSSNGd/EtN0TITQlIfNUFkvtD2LSSgJ0pSaY5BmOUmuYVBQCpCypOWYmJZBKjNc06TjWqy3XfJCzeS0PYuyRGViaRqJzBkG2dwCAHjX4fH3MlO1P464euRzMD724UlzgkTSnyQMogRZlKw1Hc5369Rsg4ZjsN31eHqt8YHaYGcdy+x36vRavAa4x8aIMi9ODEO3XZNOzULmJUfTiDcOpvQnKXGek5cFRVHSdtT8WVrk7I1iwkw5YRdlyXLN4fJagy9d6rJctz8Vc4UfR6rh5vfJp1X4LG5MTWN1IvmBi0t8/kLnkZZ498cRO/2Q3VHIKEyReclyw+aL2+1P9EzP/jjipet9/uJaj9f3x+xPVBVEaBorTTWY+ZnNJks159iDR5u/4z+9mSVzNU/y1r7PzshnGGTK1fiU2HlipUHXUy/ge6O7my6zNhYlRFkOKIO7S8t1hNCoW8Z9jd9ODxzP3p1nUp0o86JEHOdwgfKX6U9TlexuCLKiIJbKj+i0uDEMDdvQKYu7Q8UrdZvVhk3LtdR1XZ3tdu3MYeHFz2eRE7OPd4cBcaZOgJNIIsucrmdzNI7Zm8ZEqVQZYWc8d0JorDbd+fxJkOQMg5RJmFFzDGqWyv46mEasNV3arsUoTJmmGXXLpO8n5GVJ3TGJs5wiL9ENkHnJnVFMUUg6ns3ljQZ6qfyYPFsQZ4UKqXQMznVqUB5HjeQq9DUvZnK4PP590bB1HT+RrDXtE+2yBzHy2x9H82yvWQxJfxpzdJyWHuclDVtHlsqLSWhCtWI3Gnz2XJvlun3f/LD3w/18gTSUjYOua+R5SSpzLEMnL2C5bnGu4zKNJW/cGTOOMvphyq1+iJ+kdGsWl5YbbDYdhKlx4yhgFKqFiqZjU7MNznVcLizVeP4hZnBVvD+q4eaKB+ZGb8p3d0dzE7y1psMza81HXl250Ztyo6+GbA8nKZFMOd+ts9X1OPcJHDKcnYhvDwL+86t7/Nm1vqqwJBJd09jseDy5WufzW22WPBtZlliGysVaFDvrbXeeG/XyrSE3+j59P2Uaq9spgKajgkZnYmet5dKfJnxvb8zuICTOJOM4V34vjjVvYzmWjmOI+YrvO1UIZidGWap32sMg5WCcYOoCWZREaUmYZOQFuLZGx7MZhymJVAPKqaFTUrLZcdXsRpZTFCWurQbrW66FbQo8S2cSyfka+VMrTer2XQfn2cbR6VmhWcXp9MDw7OPZundZlnN/IcvU8ZOMg1FyvE1osdRyaR2npoNKY3dtMV9nX24UPLVcJ5YFaKWqkmUFh5OIds1Sg9/ThGkqVbq6phEkEtvS0VDCsB8kXD30KQtIyoKWYzLyM6IsZxykcFypMnRBwzHJC1hvO+z2Q4ZBxiRO0TSB0FRVSNMEJaBr0DjefBuEKYYmiLL8Hg8nuLeCt9h2mq3J741Uxtt2t0ZelIwiyd4g4NYkpsxLBkFCL0jZGUQ0XZMsK2g3DD67ofLDZgK07lrv+e9ncRh6lo4+W4cfBMpuwRAalqHNN8Fuj3L8VPLMWoOvfm6TUZTxyu6Ihm1wNIk59FPePJhSlvD9F7uca7pkUs22TRPJMMwYRimv3ZmyN474/Fbnobg/VzxcqorPKT5tFZ/v7Qx5bW9Cz0+wdMFa03ksG1Pf2xlyZX/CYZBwOImRUgmwz2y2ef5c6xOT+D4TO7vDgNuDmNvjkJeu93ljf0Lfj8nzkqZnc3mtzgvn2my2XLLZNx+73D65WmerWzvht/PK7pgr+xO17ZIXeMcn8M7xzMcTy0o83h4EHE5TRnHKnWHE3jiCEsRxUKltGfe0sR7kRX1/FPHGwYSjaTJ3gJ4mGdePfGxT5WYNg5SrR1O0UqPhmLiWgSxyLF0nTHMMTcO2NFYaLkmmWkyGJug2TDo1hzwv7vHUmX2+GBA6a2MtmuNFqaTvJ5SlxnLDxjLEXLgsBq7OPs6P73ea5Vw59IlSVa1quZZKCTfV6nvD1enWLAZ+RphkLDUcSiDLcixTzf04hlBCw89AK3lqtUHbs7ANjfWme3e7Ls54a9/nzijEc0yyLCfNc7KioO05JIlkFKXcHIRkmaRAI5MFhiHQuRvgauiCOMvRANMQyLwkLwocSyfJCgwhaLkmmqaRlwVd1+LyRpPOcazCNM5OVM4e5Pd5MQj3yE94ZXdIb6pms3QBjq1EepwVhFGGELDa9NB1jZWGzVOrdV7c7sxbSO9HSJy1Dj+rAvlxhixKEqnmwNqewRfPd+fZbbvDgO/ujnjpxoh+kND2TJY9i422yzPrTdbbLjvHm4/X+wGgAlZXGw7bXZeNpsO5pU/em7OPG1XFp+Jdud0PeO3OmEks8SyDp9frPLnceOQDfDePprx2Z8zOKCJIJG3bxG0YbLRdnl5vPFbR82F6lcyMB1/eGfDq7SHjMCXOS/w4J0oklm5Qrwm2ujW+sNWh23SU6JkZtnWc+QCxiuyYcvVwOj/pFAXUHYO2Z7HVcXlqVeUvjSL1ov/Nt49468BnFCZ4tgGlhqEJOjVl3rbedu9pYz3IfY9TqcIYY8n+OKY/jbm4UqftmjRdgywvmcY5fpIjSoFjGTimUAPThkW3bqEDu6MITQPL0HAskyTPabsWtqmTZJJhoO7HJJKkxzMtpz+PZT4XNYksyXM1e+LHEkOo+7JoPogo50Jq9vGtQUA/krimAE2ligs0csA/vq+Uavi56VjsjWKSXD2HveO2okZJiUAXyoU4SNUgsCEE01BiGhpRJtlsqyR1P0nJKQlj1RLUpgnLNYu1pkvHs5B5QeoYLDdtzi/XGPopQqhZokkiOZzGxElGiUaYSmxdJy9zMlkiKCnKgsNRqhYCNeXUXXcEWV6yNwrZm0RsdT3ars0oSDF0jb12zBcvdOZ/f2f9LixuhMm8wFhWlaCOZxOmSpze6ocMj/23JlFKbxoRZXAUpJi6YH9o8ZfX+/zhG4dcWK7x9GqTjZbNue57c1I+vQ6/2AZD04gSSZBlBFHGwL8rfLe6NS4uNzCEuuztw4CjScjbhwmTOEMXGu2ayQvnWrx4vsPre2OuHwWMk4xSK3l9b8zbh1OeD1Ne2H50LvYV759K+HxKkXnB7igizQsMAd9/ofPQEovfid1BwCt3Jlw/8jmYxqw2bNbaHpdWPC526491i2J/HKlhWNf6QMPds/mpb+30+d7uiKtHPmGSYQuDumfiWTq2Ae2azflOnWc2Gqw33Xl8w1rTZqPpsNSwGUUZ/+dr+6pKN43URlUpcCyN1YbNs5stvrDdoW7r+GnOK7tjDgLVptkbxUziDK3UqDVMNtsubdc8kVr+IM//6UDUOMu5NQgYRxmOIUilpDdNmUYSP1EioelYPL3WZLlu4zoCP5IM/Yy6UFtYBeCYgqZrzQ3/TKGfaEs5Rvquny86KHdqOZsNF9syCJJARRQcD1XHWaHyyY5bO5qmbAJkXqBpGoauKXEIPLveJM8L0qJEyoJRlDENM2whcE2BaWrIsMQ1DVxLMKuhaxqUx9U029RIMw0BFBTsjSQ5OUGiHksNaLoWrqVmghqeRcM2aHkGUBKnKmKhYZu0awZ9N1VeQkLDMnSO/Jj+NME2dBKZo2uCSKrf3b6fkkolPIdxQpgo52qZF/hRhiE0BkFGmE2QUlW92q6JITS+dXOEZ03nxpN1W3/XsNfFltgozFjypqr65pq83fO5duCzMwjQdSV+c9Ss0p1RxOEk5qUbA1xT8PnzXf7a5ZX3PEx8+jg2xg7fujVg4CeqhZrn6IlqZeqaIM8LLqw05uvzqzWH1w9M9kYh0zjncBzz3Z0JvXbKVsfjha0Ol1cbjKKMG4c+rwcJcVbw2t6Ehmt84rdOPwlUwudTyut3xry2N0EIeG699dhEz+t7E64eThnEmdq+8GwuLdX4wlb7sW5O7I8i/vx6n7yEi0t3837eC7MS+h+8ccArO2Ou9ydMIkmQ5OgIlho2F1ZrrHhqXmezXcMydLa77nzw9JLmkVGwN4l5fX/C7XHE7iAiiCVCCLo1i5WayRNrDZ5fb7LWdun5Ca/vTXltf8RgmjFNlCDpeBbrTZfNtsPntzsn5jUW/z/rfsy+vn/883XB8QkzxU8zDicxRQ6yKMkkyDyn6Zis1AUHfowsCoqyYL3lzCsocZbTsA3K44qWa5p0PWu+gj9jcSV7tiY9a/MtGh4qI8aIRBY4pk6QlNyZKmO7YZjSm6ZkRcE4zuYVotnns3f/QSKwdR3PNOh6Fk3XPDELVB6vj0+ijDRTQlEIjTTLMXQ1R0NZomnaiY9n17FMnUwWZMUUKQW6rhFGEqFreI5go+nScA1ajoVpaLi6jm4IdsuIUiswNI0sL5VpYqlRluCaOis1B0sIWq5FzdbnLTvLFKRZwSTMiGShjBjzXA1Gpzm7w5i9UcQoiMlzgWHopGlKfxoxDFMuLWcsNVS78GASk+UqU+vCksfF5fpcCJ2e/5r9P0uYn1UlN9oez6w02ZvGZDJnqeFwOIm5sj9hHKYIDcKsYH8cczBJ+O7OkGc3mnxuq8NzG833/Jpg6GLuLZQXJYeThKGfMIhSCBNu9SFKJZNY8txxXMVy3abpmVzZNzmYRkyTnDcPJvR8ZSMgi4L1lju/bs0x+MubQ3p+wnd3Rzim8YlpzX9SqYTPp5BZa0nmBU3LZGv50aeav30w4U+u9bl25BOkGZ5p0m66rLcdLq7UHqvokXnB270pB5OYoizZ7njv+TZ604Q/u9bjL6/32BmEDMKEohDULJNznRpNW+eptSbLDZumY6ELwVrTnreyAHZHAd+7M+HK/oQsL6hZapvLMQSNls3T601e2GyxdNyaMnTBjZ7y6Xn70OfQTwjilLpt0qnZPL3W4MKy965hjIvbT4uZV7YhuNYP2B/HWLo6sZZ5iRAaCA3D0DCAJc8iKQscUxDJnI5jUXcMNWTtWqSyoOvpJyo6liF4yqifaLOdFU3hJ9kJY8PFwWSASaxmcWYnfkMImo5J13MwhU7d1eetLUOIedtrFl7aciyEgEtLHmsL1cbFk3pvmrAzCDHq2t2WWe3eltnix7PjtQ3BIEj5wnaHVBYkUs0mNWwT1zYoQZkypiruYhbY2qqp+BE08BNJt2ZxNE1A0+gFCalUsztFCWGqfJWarhp6NnRBp2GzZenzltQoytgbxaw0Yp5crjEIU/YmEfujkEEkQdMYhAnRXk5zqLPZThG6hh9J/DTlzqjG1cPpPOj0fLeGON7MO511ddob6ImV+nwWR5Y5nZrJUt1i5GekZcHbexMVlZLn7I0i9icx37zW5/mNBn/98hqXlj3aNec9/T3OqjmzzVXb1Bn4CYfTmFSW+ElOmObz2bYXtjs0XGO+bNH3U3rTWAW6RpLNdjz/W31us8UkyXjt9oS9UcyNo2A+uF3x0aR6Zj5l7A4CvrM7ph8kuKbO8xvNR55q/o03D/ijKz1ujwM8y2Sl7vDkSoOtJUe1tx7zu6VXdke8ue+T5gXbXZet7nsLLYxTyZ9cO+Q/fXePWz1fnRAsg6dWPC6tNHBsjTgpsS0dzzJpuSZPrt693/uTiFd2VUVu4Cfz2Z3lmjHfbtpsOay13RMi4eUbA/5yZ0B/GpPkBR3X4kK3o1a+mzYbLfe+rcPFQMuZ507dVZtSO4OIg3GMVqhjzmVJWpSkRUFZQl3XsQ0dSa5Wfi2dOM051/EIE4mm3Q0kFQLWmh6OoVoNM8E2M1hcDBldFDmyzDE0gWkIer460YPaTFoUOC3HotSKu+JG1+aO1fuTaL6yrmkaHc9SRoeWjqblmIZypx4FkqmQBMcZUWcJLU3jHVtmix93azbnu3dbRPvjiFjmc28h29BV5WBh08w2BId+QpRljKOSEgetVNWr2f3zbAM0WHXM+Qq+ECXjSFWw7owiTEMwChNMoWMZgstrEtMQ1C2DF7ZayFy1bHb6Icsjm6dW6rx5MGWnHzBJJKYoyDGYphlhmnHneJ09iHNe2yuwdZ2lhsPNXkAJxFnO5bXGPOvqrCrQyVkcJWgpNIqipOVZbHU8LvYDrtwe0w8TwkQyCTP+cBjxR68fcmmlxl95aoX/54vb7+nvcrGa89rehHbNZBqpjDI/lWgaJyo6F5cbOKZBzTS4M4mYxBm3hxH7mhqevjOK50GpTy436E9ThmHK9X6AoWuV4eFHmEr4fIqYra1fOwpwLZ2nV5s8t9l6pMfw9uGEr795yO1hREnJWt3mxYsdPrvZ/kishb58Y8CfXOuRyIKNtsvnttrvSYjtjyP+4u0e/8ert7m6N0UWsNGy+eITy3x2o0WnZnKjFyClstY/11aeILMT82nBg1ayXLPY6Hg8tdpgu+vdUxXZH0d8Z3fIn18bMI5SHNPgiaUaT601TgyHv9MaepzlhInk0E/oHb8LXikcmo5JWUAYS3Rdo5RQdw1cQ0eWyhzQNXVMXUMXNl3PpuHq5HmJZWos1bx5O6TnJ8Sy4MrBmJ1exDRO58Z/cSpZa7mc67gIAdNI3iNyup6Np2us1u0TFZpZZeXiUo1Yyrm46dQtMlkQy5w39ycMghQ01Y6b3WaQSNo1i2mU0XBNhmE6/9okymjXrBOXzYQW8I4ts9nHhhDc6AW0ayZFUc63zxqOQfN4s6pzvD0087kBtZLfHUfsOdZchJYUTCJV0QrjHF0IZFlQt4z5Cn7NMjA0nSSXmEL5IhUF9IKYUoNJnOIYqsL2xEqdumPgGDovbLXYXvKOq0AOw40m+5OYnX5EnGWkmaSUJaYGeSmQRY5t6kzijFDmHI7V37OuCYaBMpv8zLnWXGSd9bd9bzvMm/8eqvui40eSnUHAGwdj+r4kyiT9IOHKwZTbw4j/95cuvCdxYeiCF7Y7dOqWMpWcRLjHW4C3hj5BknEwTbi8Wp9XdGZzQlePfKQs6PspB1NVDU5kziTKeHq9wee2W7x9pGbdbg3CEyLqcb+uVZykEj6fEl6+OeDKgdoAqtkGyw2LJ9cbj/QPcncQ8J+/u8e1vQmlEHzpYneehfNReGF4+2DC1aMpWa7aOs+sNd7ToOLuIOA/v3KHP73aY6cfUGiCzY7FDzyxwjMbTSjV2q/QNDqeyTPrTS6vNegFyXxgeVHweKag23Dp1lQbRJYlfprRzlV1oTdNeHl3yOu3J/TChDCWWIbOubbLFy923/Ud50w03egFM6c7DE3N2rRdwVJdVURqoY5haLRck6Zr4lo6tmFgC41OXfmvzDakNho2pQZH05Q7owA/lURpQZLllJSYhlCxFH5KXuQMQrU1o5UQSXWi2Gx7yLzEszU2Wy63BsFxHlfBNFKOxI6pzys0s8rK4SSaixtKaLjmXNBMowyVc1ay1nDmMRuzNptr6vP/Tzsdn77s9Menh6xPt+B0TVVCen5ClMrj7TPrhDjaHajZqVmC+3a3xnLdpu3ejZ5YTKGftcwMoXEwjUllgR9LlmoW3ZpFw7VJnQJdaGy1Xa4e+aq1luX0pjF+JjmaRKy3PfKCeeXiha0WixtR51oBeVkAGrvDEMe2kGVOwzaxdEEviAiTnDQvCBKVmxYm2bGTtsQxTjp93+/NzT1RGeOImmlwOI14ar3B+ZUar+1OeHm3TxBLiOAvbvYxhMaPfnaDC8v19/QastWpsd505/4/u6OQ3jQhSCWjMOV6LzhR0Zm1ymbVnzDJOJwkHE0jDl2LO+OYZ9cbrDRsaqZBP4iJspzv7IzZH8cn4lwqHj+Vj88pPok+Pi9d6/On13pkx6Xkx7G2vj+K+F+/tcMfv31IJuGplRo/9def5KnVj8ZjPPMRmkQZTdfkqZXGezJw3B9F/O/f2eVPr/XYH8UUwFrT4YvbbZ5Ya5LM5maOvXi2ui62qZ9Z4fEMQatuU7d0arZxvL2jI45Xo21DvaM/GCfsjFTlxNQESzWLZzeavHi++64vsjOH7MNphC7Uds3puIv+NOGtns8gSClyVUFZrdsqFypWZoBaCUIXFLmqeMRZQUmBaxj4qYo0SHJVdWnZJoahPGQmsUSIgvWGmp8aBCmUsNK0aXoWWgkNx8Cz9ONZFuZZWAC2Lu6pxti6uMfNOpXFvF11Vqjn4lDu6ZmiRc7KHlususG9btBxKueCZbFtt+g3tDifNAzUAPZi7MRMCM3alLPbXNyoS2VxwrdItdrUyvpSw+SplSaxlMo5Oy+V39IkwTI00rykKMA2BBeXajx/rqVMFWfeQsezQDOxNQwSemFG2zFIZckgSHn9YMxgmlJqBXlRMg4lHddks+NRswz6Yaqy3ZoOz6435nM078aiCWWYqJbUjaMp37zW484oxhbQqTusNW1evLDEjzyz9r5e0074/wQxlJzwAJp5Z81b0cfxHYfjiMNpqnLb0Fhr2CzVHTY6NrYuGMdy/nttCDEXUVX76+FR+fhUzLO3ZinrKw2bF7fbfHar/Ujfeci84L+/sc+f3ugznKastl1e2Opwcan+yI7hnY7t9iDgyv6EYZjR8UxePN/hybUHF2QyL/jjtw751s6AUSip2TrLTYdn1hpc3mxiCp0kVMOnSw0Tz9a5dhTwvdvjueARAjxTo1V35oJHaCp/ahxmhKnagnEstQVVliVoGjLLcQ2dz2y2+CtPLj9QWX13EHD1yJ+/KC/VdC4u1+amiKMoY3cUMo2UH4yt67QbBg3XJM4K+mHC4VhtuKCBZxoUlMqrBeUMXG+p5OuapeZg7oqKkuW6zRMrdSxdn5vlrbed42rJXSExCFOC5KSYOatSc1YW1eJ8yWx+aPb/adFz+rk8LSpO3/5ZMz9nfWwZgrptzls5p3/e6cFtQwvnA9glxVwI9fyESZQxDNMT0SSLFRJ18vZOtCyTPCdMdFXRQ80Gbbdr/OCTK9w4CkCUTGPJ7iBkZxgcexZpbHZcNJg/lqoKdHaobNuzcGzV8rp5FDAKEkq3RNc19iYRptDQNUEqcwahira4sxrx4oX2u1Z6zwpMbdgq++zVOyNevzNldxjQm8ZMYskkTPmfnl9/z9Wf0/4/cDcL7HAa3VO5mf2NtRyLTi3mYBozChJ2xyGDIGUY2jy5Uqfu6NRMjzuTCFkUJ9pfH0aKfcX7pxI+n1Bm3jGvH0yYphLPMXhmrfnIRQ/Azb7PK3sj0jSnW7f58sUuX3lu7bGWfRdzfg6nEWXJvP30XkQPwO99e5ff+9YtBlGOZ2s8sdLk0nKNSyvN+Tv3rmcxjlKuHvr0g5SiKInS4jgA0WKj62Eq5zumx0OU3YaFZQiKAvb9GENoZCWIssS1VAvkXMdjrenw/LnmO4qe2cljdxBwoxcQpzm2rrPWtOc+PotVoG7dwTF0unWTREoOpwnf2x0pjxpNVXpAo+HobLQ8hKYqNFkOyw2T59Zbxz8vUo7JlEwTiWcfr3bnBX6SMQwySlSFw/aMdwzWfKdKzeJli/d3UcA8iGiZba+No4y8LOfzQLrQGAYpSw37vjM/ix9Poozlhto8WrRCeLc5lxkzIaShkcocXdfo+wmzSs5ixMTsPq+37laEmuOIIydFlvl8NmgcZoRxzmrTUZEcAs613Pkwtqlr3BmGxDInkwXdmn0cgto8MX90WnDN5l9cQzCMHG4PA3rTBEMIsqJkkqRAiaELorTAzzJ2BgHPbDT5zGbrXT2kTvvy2KZGkBb4Sc6dYUSUSg4mEX9+reDto+n7rv4s/vzZz9o/vm+DIOXWIDzR/npuo4Ght9gfR7x5MOW1vRH7o5hQZmRZTrtm8cxak++70GFvGM9F1NUjfy62Kh4PlfD5hDGb2/jWrcE8e+t8u8Z62+bLl1Yei1fPf31ln72B2jD5/osd/h9f2Hpsf/T3CzZcbTpcXPLec1THX17v8Z9evc2Bn1FScq5W59mNFst1h45ncnFZmb69cnvMd3fVu0bH0mlYBm1PZ0W3ON91WWk5SAlvHU7o+6oSI2VBnBVEWU7HttC0klbNwtQEnZqav2m5FrqAun22z9DpdsEgSPETiWvqPLmqKm6yKHnt9ohDP5lXgdIsx9Th6kHIK7fHlMdzHg3bpFUz2Gh5ND2T7bY3H8zezmrEqfKI2Zvc9c858mPKUsMxdQxNsFK35/44s/mY7e5d756zxMxp4XA/0XPWHExeluiaMiQcHouT2co7MP94GCT0fHXCdkydRBYYmsrrsgyNrmeT5gWbLZdJJJmtjE8ieV/Bdr/n5SwWr3dXCLVOPH+zSs4klvNKzqwdNvv5s1baxrFB5SjM2ClC/EQd88Fx6KptGGilyvra7tZwTUEqS8ZRSpBIJnGKZ5u8cntMwzYJU3niuZo9B7P5lx3TwJxEdFyTO6OIG/2A4SRB00DTBHlZ4CcxQZwxtFIOpwm3jgKeO9diq+thCO2BRNCLF5YwdEHbM/ne7pDDccQwyumFCX6aM4kPCBPJV55Z5VzHe99r5Sfu2/Hrxaxyc2cUs9qyTmyh+kmGrmkkWcHNQcDOMOTIT/jSxSW22i4bbYfv7IwZBCk7/bBaeX+MVI/6J4TTJ/RxKBGaxkanxue3Wu/Z/v3DYHcQ8EdvHnFlf4JtGGx0XL76uXOPrMx7+qR4luBZjIJ4r+8Q41Tyx28ecTSKiZKUlabHxa7Hct3i89tqVmIUZbx0a8yb+1PKssSxdC4ueZzveGR5yThOcSwTrRTkhVTOwSWUqrtDzTLQNUHD0dE1VRESmqDlmWy23LtBpWcIycUKzmz2Iy8glbmas4myE8PAhqbM+9qewdE04Tu7IZMowzQEGmoL6OJKbS52Zieo3lRFcSxuTJ32zwHmsyqz+aPTbZ9FTn++KHTu5+cjhGpRBImq8HimroRPUWAKwSBMyKTKrUrzAtc05h+nsmBvGDOKsuPPJZRQ9yxcQ0cDunWL7SUPZ6VBkmXox8fjmio09nRl54PGnSxWOhaHfmf+N4vtsFlUx2KUR17ALspssu4Y1CIDP8kxDI2igFRKdGESZyXTMKXedVnzLApKOjWLcZQRZZJXbwcYAgxd58JSnVQqoagL5rNHy3X7RFioebyi/+bBlN1BiCxKGo4OGAyDFD+VJHmOZ+mkt4bc6AfKA6gXsNX15hW++/HCVodLSzU6NZNv3Ryx058yCiVxKkksnZdvqZm9C8s1/trlVT73AaIkzgpCHYUpB5OIt/cDnlyv8dRKkx+4tMyNesCBHxMlOYd+Si+IuTUI58Goa02bW4OQq0c+mkY18/OYqITPJ4D9ccSNI/UHNzuht12L1XXrscU+7A4C/ssre9zsB+hC48Kyx199auWRDDMvDivmhQol9GN5X8Hzfrct/reXb/NHbx8yjjPars2zaw22unWWag5o8PKtEVcOxsSyROZqrfWvP92g6RrsjWJiKXFNk6ZjYBka13sR4zBD6GrQtOWaDIKEpmPS9EwMTczbHLMXzLNOrrOq3+IcT5oVmIZgHKdMYkm3rgZTZ5tOS3Ub09CQRc7uIOLKwRhd6BTAUyt1Lq81eH7B+mDRgM7Q1BxOXhQnNqYWqzgzThvbvdNzCJyo4MzEzTSSCKHR85N59cYzdfKyxI8lcZbjWILdMGEUZCRZTpaXhFmBrqkAUWHo8481oVGUag5JE6CXJQVQlCXTKKOw1Pcf+Qn9IOW121OSTGKYOtbxOnrN1TnfqbHStHl6rXnPXNEH5XS7Z/bYzOaCzoruWFx/14VGgTKbdHRdxbRTEiSSKwdTJmFGqWnQ0ohTJSY7rkndNggT9dgURcnBJKQXRHiWSZ6XDIP0ntmjRZFQULLSsMgKmIQZkzBlpWGhaxqTWAXHNl2DaZTha3A0VVXHlmsSS8nF5cZ9BWTdtfgrT6xCoeEYOtMkZRylJLLETyTjKGN/oqI88rLkxfMPvqxw1uN/OgLj9jDlyJcU+yUUGl843+b7L3XZH0cYmsZbR1O0Eg4nsZp5GsWsNNU232zlfRxn1czPY6ASPh9zbvSmfPvWkMNJgmPqdDz7A5/QPyi7g4D/8Jc7fOfWAMsyeHG7zVeeXePpjYfvGdSbJlw9mHLgq0FKmavB4W7NRGjiQxE8cSr5i+t9/tsb+4yDFClL2ks228t1Lq/X8UydP78+4O1Dn2mU0XJNLq83+MxGE9tUw6Z+IqnbBheXa8ii4Fs3h+wOQtA0tjse212XOCtwLYOWa863lE67G5/eNBqFKhH9cBoBKoTUcwRpXjBNJZnM8SyDPC9ZbTqYhoYpNGzD4KWbA169M6ZEDbm2bIPPnW/zxfN3U7Nntz8TkSqJXbDStKlbxj1zOO/Eu7Wrklwet6CyubhpuCZ9P8FPMwo1C62Sz8OEvWGMLJQNgKXrHAYRFCoaw7N1gkRSFiqbLpM5WlliCCikwNQ1VuoOq021bTeOUoq8YKnlUhQl+6OIYRgjhCBOUoIsR0slniFA05jGGZSCa72AV25PqFnKAqBmGqw2Hc5373VHn8VvvFfuNxd0uop2WjSedo9G05BFqfKyCiUW3jycqlwwfdY+1VhtOGhaQcu1CFKJH6sU9lGY4CfpsZO0zSBIWWvaPLnamK/iby958zdlmcwZRhnDacIkyXAdk0mQEkQ5a20T1zLI8oJ+EHOrH3DtaMrltegdK0DLDZuvfm6Tra7HSzcHXD/yGeQJhdCgUPlqt0Yhf/DqPjVL54mVD2bhsdj+ulEPuN5XNgGLpoUzEVO3DcZRxsEkZhSkJFmBptVZadg0bZOrRz63h9Gx0KQSP4+QSvh8jHn55oC/vDXgcBTj2QYbLZcvXmg/VsOs/VHE//Hd2/zZ9R5RVrLtmXzfxaVHInriVHL1aMK1XsDN3pRxnFO3dC4s17B0Yz6U+H4ET5yqNtSNfsjX3zzgz6/32B+GlGhsL9f4gYtLPL+hXvC/tzPm2pHPNM5oeSYXujW2Ox6DIONwOpmvj2931Av5t24OudkLQFNeOa4lOJjE6EKtfs82ru5X3ZkN8fqJ2vwZRhk9PyXLCzZaDnXbIEiVJb+lGyzVTbY6LroQvL4/5XCiKjdJUlKWGhrwxYsdnl1t0vJs3joMTjg5T47XolU7y5hna91vgPc0pzeDZkPFTVfNjQzDlL2xclm2dEGYZBimYCw03jzIGccSrSwoNaFO0lqJLArEceAkCGQOFBpN1+Rc12Wl7pAWJVqpRI9h6ic+bjsGLdeaG0SeFm8zR+txlOEnkiDOsG0DQ9MQGpiGpqImElVtsw2dPC841/XYHUS8emcMmkbbMSg1jUmYYeoal9canO96J9bfZ4/R6ctOi8SzHuuz54Tu/d7Foe+WY5Hkag3/zijmYBxDWdKvJXRr9vEJPCVKla3CZsckz232xqptNQpTBlHKwE/ZH0dME6l8fgxlNvn9l7rzNrM7jdhsuhz6Mbs9JfSnqWS5UKvwNccgTGBaSg4mCWEynFeA7lcZUXM/XRquQSYLJrEkyGLljG4Isgy+dWvIwTTiSxdX+IFLHdZa7geqxM2qP1tdlysH0zNNCwG+szPGEBqxLPBsuDUI53YW5wuXm72Qnp/w9qEaeD6dn1fxcPhY+fh84xvf4Nd//dd56aWX2Nvb43d/93f52te+Nv96WZb84i/+Iv/m3/wbhsMhX/7yl/lX/+pf8ZnPfOaBf8bHxcfn5RsD/q9rPXrTBMfQeXKtxv/wxPJjfdcg84L/9L3b/Mdv32a3H7DcsPmfXzjH/+fLFx76H/Ks3Xe9H7A3CBgcu+62XZMXzrXf0Tzt3fje7pBvvtnjxmBKkhUcTiN2BzFCwIXlOn/t8iq2qVK5p3FKnJWqfdSwWWpY6AiSvDjhC9L0TJIk58rhhIGv3n03bYOWZyJ0ccI/5H7P6aLj8uwdfJzm6sScZti6Trdu03TUyU8WOXGWc3sQsz+JEboKu0QT1Ewd2xTH1zdo2Cr6Ac72l5nNdzzoY7rYurp6MKUfxLimTl7CIFCxBLFUraVpkqGVaqYkzQvKssAQGqUGFKoFZZqCEk21rdCwTJ21lkPbs1ipW8gSDA1c0+CptcaJVPHTHjzvtf121m04lsHuIOBomnKzH2DqKrvM1AV7IxWcOg0zGp5JCfhRRsO1sHXBettBFgXyOApEK5l//+yyi11vHpGRF8U8IPT0mv57mS06Kwvt+pHP3jgkSHJiWVC3dWxTJ5U5TdeiaavfpSjLSWROkhe0XZN+kHA4SimFmq0SmmAcJXQ9mxe22nOH+EXDzMOJyrXq+QmrDQvPNslkSd1VLU0pCxxLJ85yQGOpZvMDTyyp5HhdnHkfv7sz5D9/7w6v3B5RlMrbyTQ0grREAJYpaDsGF1frH3j2Z8ZpT6y8YL4tuT9WMz6HkwjXUluLy3WH/Ng7KZU5sihYabo4hq7y745tB6rZn/fOJ9LHJwgCPv/5z/NTP/VT/MRP/MQ9X//n//yf8y/+xb/gt37rt3j66af5pV/6Jf7G3/gbXLlyhUbjvW3rfJS5eTTlysGEPC+o2SbPbdb5vvNLj/0P5Ts3h3zjjSP2RxEN1+JzW21++LnVhy56dgfBfItt4MekhVpNv9D1eGa9+b6T5+NU8p2dIf/llT2+e2dMmOQqHqAo6dZt6rbOX396lbWmzduHwfHWjEbLMVhp2jy1WmcYZowilTyvARsdB880uHo05fphwCROaDo2bcegU7dUG+r4hfOswcdZBaA3Tbh6OAUN8ly1KfbG0fHwdI1zujvPyFqt2wyilO/dmHD9KCDJlMjo1Czajkm3blOzdS50axhCYxRn3BoGx22suwPKs42exUTud2LxhHqjF1BqBYfHMxezik6BRpRkGIYgziSpLCmLkpWWjalrJLIgTCWGENQsA+t4kPjicg2hC4JYVV82Ox6X187OeXunqsh79Xt5p4+3ujXWW+5xBtbdis2tQchbB1M6NftExafUCuK0YJpI7vRDdF3gpxJRlni2OU9zT2ROnEhKIJE5jmFwcxCyVLdIZE7NNBBCY7PtEqU5rqVjCO2ex+J+j8Pp1tlsPf1omrBUs8nygmkkOZIxmqbeYE5CqX5fbR2BxnrTZbPpgaZsGt4+nHK9F3BgJhxOknkA6KxNFGc5Xc+iW7fZGYYkWU6USGResjNIWatbXFqts92tcWV/qipuk5j/662e8m+yBM+uN++phH5uu0PTNXC+LfjO7piiKDCEQddV2XJ5WXIwTTjwE8bTFD/O+IEnlj/Qa9T9Vt+DRNJ01ZsZNCjycm7rAJBIVV21TA1DB1nm3B7GHE1j9oYxX7zQqdpfD4mPlfD56le/yle/+tUzv1aWJf/yX/5Lfv7nf54f//EfB+C3f/u3WVtb43d+53f46Z/+6Ud5qA+NxZDRhmPw4naXz24/em+e07x8Y8B/eXWPW4MppqGzveTwNz+7+VADUBeHePt+xjhImcQ5Sw2bC13vPRsRLvL6nTH/7fU9XrrZpzdOGEWZyjdarvGFc20aNRPP1LFMwbXDgGmUYZkG5zqqKtJyTUDDNQ2itEDX1UB1npfcCUIOJgnjOKNuqarUTPTM5n4W25UzN2B1AvWxTOi4NroQHE0jHFPFWbRdCyE08rxke9Wjbulc7wf8+Y0B1/sBQZKTFQW2ZbBcN9lacvnMZgvP1rk9UMGZi9tdszbWTOjMUr33J9ncmO+s5wTuip1ESqZJRm+a0PdT9kYRwyhR6+WWiWEKiqKkYZk0bYMSDaFpPLVap+lZc2Fj2wZLnolrqmNa/NmzE9+j+hu432zS4jHM/ncsg6fXm/ed8VHVgBjXFPet+CSywDY0NDQOpgWlVjKJ1Dbe4SjCsw3CRHIwicnzgqwoiTNJy7XnFbrFNfR3epwWZ1haTnzsKq2rlXTUiXp/EjMOEyxD0PRMypK5S/TFbl1VrwolWN8+8hnFGZpW3tMGMnRBcxBgaMqbKJE5vUmsYjVCiegHHPlqKy+TBa26xTBKCJOc3jTh+oE/X4WfDVYbuuDicoMf//7zuMYd3uz7SJlj6wYbnokhdO6MAoZhyusHE673fb67M+JrX9z+QG8cT6++zzx7dKHR9Sxqhk4/TNCFoO8nyEK9E9LQMDKNtl1wYaXG3iiiKEuGYcrbhz5Qzf48DD5WwueduH79Ovv7+/zoj/7o/DLbtvnhH/5hvvnNb95X+CRJQpIk888nk8lDP9b3y/4o4k+v9dgdRPOQ0Y+C6LndD/iT6z2uHIwJkpJzHYu/8ewmn91qP7SfuVhenkRSrV1bgku1Gt2a9b6MCGfc7gf8n6/t8WfXetwehsRZQcuzubxW468+tcIPXV7hYBLz3d0RO4MA49hX54nVGi3b4iBIQNMAjZWmqqYcTGLujCKCWJLmkqZrsdFysQ0Ny9BPiJ6ZgzLA63tjXt2dkJRqvbpEI45z1tsFji0AjYZr0tGseYWnWzM5msb8yYHPzWGAIVTrrG7pPLHi8cK5Nk8s1xjFGXvDmJ1BoOaOhHHPEHXPT9ifZCdiEbp1h40WJ9yIZ3Mju4MIWeQcTmLePPAZBglCaAhgnGQURYkjDNo1i1bNwjWVS3XbNY9bVSY1yzhRrXi3dtT9/IsMXZyYkYlTSd218KP0nv9n8x6LlZrZbS9+XyxL+sfbk0Gi8sO6NZuyLKlbBmvHsRJ11zrTMXpRMDmWwRMr9Qea8elNE2KZczGRWKag76dkssAzVdXLNtR8k64LDicRaZ4zjiSjSCWzy8IlL6BdM2m71pmidZGztsdm0RpF6ZDJgsNpQiLVyR1NI0x0dofKvwlNbQOmecEkzrg1CgE4mCY8sVzjXMedV8iA44F/jfWOh6Zp86DTaaSqk/0wZk0WrDVtCkPZJvTDlO/cGnI0VYJicYZvq1Pjf3lxi5duDXhzb8owSlSFUSvYbLq0ahZXD3wO/ZRvXjuiLEv+lxe3PrDIWKz+zJYYxpFkuW6x2fYYxxmubVDkylYhK0qyXEXAXKCmVuKPgnnWV2V2+HD4xAif/f19ANbW1k5cvra2xs2bN+/7fb/6q7/KL/7iLz7UY/swkHnBy7sD3tr3KcuSC8veIw8Zve9x3R7y5v6USSQ517H54oUlPnfh4QmyG70pN/ohR9OEcZASpcoPpOO5rDTs92VEOEPmBX9+o8/bR1MOJjFZVtC0DS4te3zp0hLPbDR55faYb98aMY2VaeFG3eLCsodtGtyZxnMDwEvLNeqWzutByjhOGQYJli5oOBZbbY8ok0yOgypdU2e7o140X7sz4vpRwME44nCqqk2epdOwTUxDhVaZhlrhrZsmeV5waa1B2zV59c6Yr795xNtHPp5lYAqBZQie3W7w7HqTtmvipzn705hhmDJJJIksT8RWzE7Mi/MYM3+eMC2oZzmGrsz/etOEUZQSxZIrh1PePvAZRQn9IGEaJliWRdczOdeusVS3ASXOnt9sc3mtPs+Fmp3oz5pPeaffo5moWBQxfpIzjtLjlfsITcA4yNA0lfXVrtlM4oS6Zalg1LzE0lUApWEKbEPjcBITyoKiKLCE2tCydJ1JnCKzEj/NSdIc7dgjRxYFRQmeodPyTOquyUrDIZE5tqFjCo21lkMU58gSEqk2oYQAV9c5t2ScuK+LFSPghHWBzAueWr0bxbE7CJBFSZhIPNtgtWkzCjLSoqR9PN9Vd9X6vsxL/CR718rP4jEsDkmPwgwKn6ihBqN1TVWBVK6aSm0P0pxpJNGArbbHMExJZEGpwe1hyO1BqFzSN5rzas3F5dr8d63pmgyClDuDkDCVBEmGKXSO/BhHFzQ8g5WGPU9xf/Nwiq5pDMOEnUHEZtuZz/T9zc9s8PmtNt/ZGfK93TGH05hQy1lr2Dy/3uRab0qY5Vw5mMK3d/mfP7f5vl87Fh+3mYCatb5ujyKWaqoS7AjB9UGIberUdfV7lZclV498nlqpz1fiF80OZ38nFR8OnxjhM0PTtBOfl2V5z2WL/NzP/Rw/+7M/O/98Mpmwvb390I7v/XIwiriy5+MnktWWzYvnOx+JdwGv7Iz43q0xoyDFswy2u6oq8jBaXDIveP3OmNfujJlEGWFWoGmlCrZ07PvOxbyX2/+9b+/yv750kyM/I5U57YbDZsfmr19e4/J6nUGQcnMQIoTKMlqqmazUHcqSEzEQG00VV/D63pSrRxNs0+DZjZYaXixLbFOQ5jpFqd4N1mydt458/vDNI0ZhSn5sblgUMIoSisLk6bWGihvQBLrgRKgowO9+a5fv7I5Isxzb0nEM+My2igVYrtv4Sc7re9MTkRQtR9D1rLkRHZzMKZptoC3XbPbHMbYhMHSN3b4aJvfTjEkguXY05dYoZBQmaGjUbBPHslht2Dyx0uDico3VpstKw5q/iJ9Vxbnf1tqs8rE4YPzWwZR+mLI/DjE0wTBK0NA5GEcYhuDtQ584y1SrSGjohkGUSOqOobyMaibjSGIKCLMCU4BrmsS5qjKQq5N1w1HbZqsNh16QUrfULM4oSJEl2LqGqWnEOdimYKPp4DnKYHIcZTiGIJY5nqkjSw2hlTiGjnM8i1NqsNl28SyDzZY7b4udHlS+nyhanHORuRp8XqwezZgZP74XN+nTz89MBM18ema/S6YQ5EVJmGZkslCzQCjX6+WmTdOxkEVOb6o29o78hPjW3Y2tC8vesbWDEnAARVFAqanfsTBlEKbohkaY5NhC0M9yJonEOnba7gcJR9OE6z2fN/andwNRWy7rLZfNtsc33jxkdxCS5pKn11s8t9XijTtTvnd7wO4wYncY8P/60kVevPD+PX9mnNX68pOcjmfS8UzCNGcS59SskiAtyKYJQSznFZ75YPQ0Yn/sVC2vD5FPjPBZX18HVOVnY2Njfvnh4eE9VaBFbNvGtt+57Pu4kXnBzjgkL0tqts6za82HOjvzoNw8mvLSrSGH04i0KLiw7PLZzTaX1z78QfJZ9thLN/v0/BRZFlxYqrFUc+nULZ5Za3ygNf7dQcCfXevxv3/nNnt+yiSMsUwLTy/Z6tSoO8Z8xbzpmGy2HFxTV5tc6d2qyZOrddDgzjCee90YQp8PNmZFQdsxEMer65aujOW+dXPEzWGAqQs4Fkea0FhuWFxYrtO0DdZaDqtN565b83FbZX8S8WfXBnxnd0SYSnQheHqtwfdd6PL8poo82B2FJyo8s4rU4vqszAt604Q3DiZz48O2K2i6Jn4suTUMsHSNnaHP/jBhGMbomo5r6yRFgcxLOo7yb1luuXQ8k2fXWydmch7U22exrdTzE0bH0RephCCRZHnBMEjQNcE0Tmm5Fgd+QtsxmCYZrmXihwkpUMices1GFgU1S6gTsijRhcCiwNBNSDIKTSfIMvIsBwRFWeLoAksXiLLAMnUalqBTdyj8mDTNibMSU6h2ZY5qR+5NIvRJyDhMiFKJoQmmaYau6dRtk5qtc67jMo0z+tME01CZZlsdl7cOpizXbOqOwYWlGkJA3TLf9fG7nyhaZDEs9YMwOzEv1216vje3UfBTlQemoeHZOrrQSLIcXZgkWc5qy2a7U2Nt7LA3DHEsfe7Z873bIy6vNXhmvcHz59p0xxE7psHhNKLuuLRsk9WmS8MxkHnJ7ihCNzQOxhENy2B1s8F5z+XGYcCdacQgTDiaxLxWn/DCVoutjseLF7p0aiZ/eX3IzjBkdxCy3fX47LkGN/s+u1HI63s+/79v75IXJV843/nAj9VZg8/7k5yiLNU8Vl4yiXOSPMcSBunxosJyXb2JCxI5b3lBNe/zYfGJET6XLl1ifX2d3//93+fFF18EIE1Tvv71r/Nrv/Zrj/noPhj744jDccpy3abheHz+Q/iD/KDsDgK+c3vEm4cj4rzkUtfl+XNdnt1sfaj5M7MB5pduDXnjzoSjSYSuaZzreqw2XFxbp+maOKbxvh+Tb98a8AevHnDlcKzs/5MM2zBZb1qsNV1Wag5ZWYJUSebPPtkgL0r2RjF+Ik9UeUrg6qHaiKFElfhRrrdCP34bjMZS3ebWIOCtgwlHfkpBSZxIEqBbt1lpOFxYrlEzdOzjNdhZVWZxpmZmze/HEl1TBmpfutjlSxe7OJYx3/7SdXFPhWexzaRaVsk8kd3QBLal4Vo6O8OA7+yMeWt/gi40bFNDFuDHkraj4do22zUbTdNougZfvNDh/EJG0oOuVu+PI4JE8vbRFD/KOQwiNAS9aYQhdA79GPISeZyqKYsSR9dpOAamKTjfdbENk20L2q7DE6t10lRiGoLz3RoFYAqdSZTi2jpSFjQ8k2mY4aeSOC0oi5JClPz/2fuv58juPL0b/Bx/TnoD7wplySKLvtns7vFOPTN6Z7Ubse9GSBuxE3uxV3ujUOhGd1LExOhv0J2kW+3GhvaVZqVXY1pju5vd9KxieaDgEunz5PF2L37IrAQKVYUiOSSnWd8IBlEAMpGZSJzznOf7mCjKqVhCi5RnOeWChpxLZFKOJskEacpOx6PtBjRLOkVdI4gS+o4AaE6QkAFlU4iLMyBKcvw0Jg1TtLFEmmX03RBdUymYCnGSiTgCLyZBrIXKpk6cpDQrJrWCyvmmsOYDj10NPmm+zOPGBAAlqUHNElZ4JxRJ0ZoiwJ2pSNzve3hxyv4goFnUubZS5cWlMmGScedwzG3P4dAJBMPRcfnOhYhX1urHAIMXpywULQxZYrFuUTRVlJbEfpZjaBpekGAoKqapsIRJlOTsjnzaToDth7y+0SDJMjbnyqiyjHJf4tN9USXz2kaN33l5if/5WZuO43MwDvgvH+3TGQe8sdH4Utyys+zPnY5DnGZH24icNJMoaGINtlw1qVm6eG1rFkmW8eHOiAc9DzdIpvf1fL7Y/IMCPo7jcOfOnem/79+/zwcffECj0WBjY4N//s//OX/8x3/M5cuXuXz5Mn/8x39MoVDgn/2zf/Y1PuovNq2hz7v3+9iByKV56xuw4trtu9zpONw9dJBQmC+pvHWuyWtr1S+8H5+dSQpze+yz3XUYeBHVgs56vcBS3ZpqaZ5Ft3Byfna/y//4tMWdrkPfCZFkmCtZlEyFetFksWxQMFTCOOPyQglDlenY0bE10HrdQlFl9o8amG0/oetGVC2VhbKBLEs4gah2WKjpLFdM+m7MjX2blh0QxglZBvWSzmqtQL2go6sKjYI+beCG4yetre6Yd7eEtsoNxPrm9Y0ab56rUzQ0brfd43USacbyDMPTdUJ2Bx5Rkk1rICxdBSRR2yDDOEhojQI+2Rux13eIjizwC+UCRV0jy1NqJYMLc0WurdaoWeJxnhX4TnQ5W70xn7Vsfn5/QJikuFFCRdfpOgH1oo6qSKiSAH7S0esgSxIlQ6Va0Lm8UBIMWkEDKWetVjy2IpsAhKcJiGddWrNVE7Pfd/L/J7VJ1w9GXN8d0RoHGKpEydSQkAiTlOE4ou0GR6sgCRkJw9BQFQjijD3bJYoyBm4M5IxrFo2CiaKKzJtaSefugUOag6zAhfkSzZJ+Jkbo73NURT62AjsYBkBOs2gwVzYwdHW67tE1hc44mubVnJ8voSgy+R4M/JC9kc/g0zYHo4A3NxpTwDBbj9KxQ8I4Z71pUS0K0CMrsDPwjnLNJDYXiqiqaLTvOCFbR9U5cLQazDJ2+i73ux4/vd/nD15b4f/5W5f5q9sdbh2MGXkR7z0YYgcJv/bCwuc+5nbHIU4YT11nNUsjJeNe2yVOcwqaRpplVAsauiozXzaOCc+Xqha7Q2+qWbt5OJ4+h+fz+ecfVIDhj370I37jN37jkc//4R/+If/+3//7aYDhv/t3/+5YgOG1a9fO/DO+SQGGk0DAG3tjNFXiBxfn+c75xtfK9rSGPtf3R9w6tNntexQNlZfWary18eVmTiRpxk/ud7nXduk7AUGSY2oy5+eLQjsRiC6eSdDfC8uVZz44/eRuh7+4cShKBMOEnBxTV9FlmaW6iakoIvxPgtfW6izXDO503GM/t1LQSJKcfdsXzqcjsbV5lBjdKIiDmCIDUk57FHHoeAydiHGQ0PVi6pbGSq1AzdLQVeWJCdO7A5dPdkdTlgeEsPTKUoXX1+skWTal1Cc5PLWiNq2TAAFcJ0JScqgXDVHqaSikWcb1fZvrB0P2BgFxIq6kZRksTYhQX16tT4XJwJmt5EmaTUHDjz47ZOhF9JyQgZew3XPx4wRdlamaCmVTp1zQqBg6G3MFlisWpq5gajJzxYcnhtkVz7OwH0+ypH/RmTjCTt5vy/b5bN/mfs8lzzN0VWYwjgnilKEXkuQSSSp6sXIZKoZGlKUEYUpOjq6pyICMzELVoqTLVAsGqswjjNBXae8/OadVlkzSuidrMdsXa7FmUWezWSCX4NO9EZ/u27hxgqmoXF4o8Z3z9WNr/ZOr2GpBo2qpJFnO393tcvfQASReWqpwbrGA46f0vBApg7KlsV4vsNkssNoo8r9f3+dHn7Wx/ZhzzRK/+8oyy1WLn2/3hOPLDimZGq+uVfnhteVnfj2TNGN34Il8MTeiWda4NC/OKZMQTy9MGbghaQ6LNYv1WoE3zh1n9CcXgPd7LnGaUSuofPf83Nd+AfxNnLOev/9BAZ+vYr5JwOfPPjngz262ybKMS0tlfvfa8teq7UnSjB99dsjPtwccjjxWqgXWmwXeudhkc+7L1fV8vDPgf95qs9N3KRqaCDOri2yaIM6OKPXHB/09bf70033+7MYhraGPpshYuuiBqls681UTCZFNIkkS6w2LV9drdG0RTBYmgv3JJWFp7ozDo+6iGFVBdPEcia0nCbuf7I34+YMBOz2XLM0I0hxdlXhppcqV+TKqqjwxDTlJMz7eHfLTrb64j0y4iS4vlnjzXJ1zzdLUhTX72swyRsB09TXpCqsVdEqmih+lyBLc6Y756IHNxzt9kQ1U0FiuFjg3V+Ttcw0uL5afCehM9Do9N+TdrT6tUcDh0GN/FKIqgCRjHlmyi5bKYtHg7YtzLJRMqgXRFbVUsZ4JmJxMMD4Jbk7WZUy6rHRVpmRoj9Q8nHYfZ/n45Ocmj+1YdYTt0xoGXG+NGHnRkS4mZxxGxFGGHaY4fohlaqJINcrouSG1oi4SkmWZakFnrmhQK+kYqoylqVi6whsbjS9F0/Nlzsk+udmk4+WKSdsN+flWn8ORR45MUVd4abXKa2v16d/4yaTkCes68GP+/Eab1shBU1QuzBVZqJrUCwb3+y6HQ584yViqmnxns8l8xeS/frDHR3s2spxxdanKD19eYrVRZLvn8KObbR70PUxV5X95bZlX1p495bk19Pns0OZBz0OVJS7MlXh9Qzhe9/ou72716TkRAz+iWdRZqFqnXkQGUcIHuwM+3hmRZClvrDe/9ovgb+L8QiY3f5vmg+0e/79P9xgHKc2SwRtr9a9d0Hw49LnXcbC9+KhXSuWlleqXDnq2O2M+3h3SGvpECSxXVTZqBSqmhu3H+HF6atDfWSZJM3623eNPbxxy53CMqogMnpKpIUk5cxWDFxbLbHVdDFXoh1aqFp1RxJ2Og6HJnG8UkICtjsvAFfZpSRJp0WVTY75scHFBpAh3nZA/u9Hlk70RbhzjRTFpkjNXMVmuWZxrFNlcKD2xo6c18vn5Vp9P9kb4ibDwzhU1Li+WWZ8rosgyt1riKni2/HTy2kx6pmZXXyVDpWiolEyVoRPR84Xb5nbLpmMHGJpMTVd5cbnCr15Z4MWlyjNpt7Y7Y5wwZbvv8MHOiP2BR5LlKDIMvBiyDEVROD9vUjFNGkWNF5aFC2eueHoJ6+N+z4/roNJV+RFwM8kiqhb0qUUfwPZj5somAzdmqyse5wQMnbyPs3x88nazTfWzq7G1epGlisXrG/Xpym275+KGMTcOxtxtO6Jkt6Ciyio7fYdqyUDKQVYVRl7EwI1pjXwaRQNVljB0jYqhkOW5CKDUVFabp3e9fdUzuxY7Len44kKJ37m6yLtbfd7fHYp2dTdi7Cd872Jz6tA6mZXzyf6YxYrBr16Z427b5H7H4XbbYXfk89JSlfV6ge4oYH8c4YYJhqrwzoUmv3ttGUWVuNd26Yx93t3qoygyFxcq2H7CTt9nHMS8/2DA5YXyM+sXJzodN0joOuG0zHS5YnJuvowdJPxse4Dkwc7QI0xTVOnhSm4ypq6y2Shxt+XScRLudG0254vPWZ/POc+Bzzdwgijhv36yz922h6bk/OqlBV7b+OKdMl9kkjSj7YQosojNX6larDeL0w6eL2taQ58Pd0ds9xz8JGWhZHB5scJms0DHiei5EYYqTTNnnmW645C/un3IhztDHhzRxnNlg4qlk+TCkVQv6gRxhixJVEyVuaKOE6X03UiExGXiirs9DuiNI/peSMXSWKxYNEvmdE21VLNoDX3+56029zouPdcnTnKaJZ0L82XhDKtZ4nufcPDa7bv83T1BvQdJQkFTubZaYaVuEUY5Oz2XakGfiqZnQxCTNJtecT5cfck0SjphnNJxQqFz6LlHycohqiyhKaK+4sJime9uNs6s25oEAf7ZjRZ/8VmboReS5TlxlhPFOZYqsVATK7yyobNYNfj+xTlANIE7YYIXptywx0zAwsmgvdP6pSYN5A9bx4FcrDYGXjQFN31PaEvCJCdNcxYrJkGcMQErsgxenGIHQqBrH/W9nXYfT/r45O1UWSbNXIBjgGq2cVxVZExdCPSrBR1FkXljQ2W5ZkGegSRTszR+cq/H/tAjSDMsTcGPEtI8R1Ylhn5IGKb4ccr6nNC4bHddNFXm4nyJjWYRTZK+ESBoknVz0u691XW5tFjmO+cbjKOYe4cuYRILMBilvLxSmf59nczKmRSAXlmuUDAUfnTjEC9Muac4LNZMrixVxPt+HHDjYESYpHxns8lvX13ix3qPz1o2H+2N8JOU33hhkavLFT7eG3LjwGar6/DJ3pDvnJ975uc6eZyTMtMbByPutse85EVcXixjhzFRnDLqRQzchKIWcPPoomz22DBXNri4VMTZjnGDlK2OS83SvlQzybdlnr9i38D5n7davL81wI8SFpoF3rnS/Nqv1AB6TkTfiZHynHpRY7Fa+FLvP4gStvoOtw5sBn7MWk042K4c2eMP7RAkWChbz3SlMxGh/vdP9vnJvR4dxyfPxWrL0lQUWXq44sgRTi1NRpIgSFKULEeVJBQFwlQmzHLGQYwbixbqZsmkWTJ481xtyrIkacZ7D/rc67jsDx1KhsZq02K9UTjGCD2JxdgduHy0M2K375FlGRuNAq+v1WiWDbZ63lTnkKb5Izb3SVv7rEurYqqYmgx5zqf7QsPTGXnYR+3omgzz5RKNksqbG03Oz5Ueu0KcXWNNNDs7A597hyO2hz6DcYhl6jQshXrBoKQrXFur8ua5BpvNEkMvAJRph9fYT5BliYEnNFKGqlAwwmNrukkOzYRJmSQJ274AKoYi2CzyfJpxZGnKI6zMfCk/5pCDh+upmvUQSE0Aymn3cRbGZ3K7JE/JyaaP0/Zj8TgR1QSWrjzCUCV5yvlmmUpBI4hFZYOlK/zaCwvsDXx0VSJKcra6LrtDjzAR6eUZICkSbpDws/tdsQo7Ykq3ui4FXWFl4LFQMb52UTQ8mnSsHAmZ00zESMxZJn0/pONE7A994iTF9uNpU/upNRGBWCHbXsLH+0MObZ/bBzZrzQJvnW/y8e6A3X7A3bYI+XznYpPvnK/Td0Pu911utxx0RbzWr6/Xsd0YO4j527s9gM8NflRFZqvtcMMVKdI/2x5ghzH1gs5yzSLJM/wow4uFfvFkcKGqyGw2SrRHIQMv4n7PBTnn0nzlqUncz+f4PAc+37DZ7o75q9td4qMD4Zvn6mw2Sl/3w6I7DtnpOzzoe6gKpBnMV/Qv7YA52dv//P6AthOS5hnzVZNzzQKqLAtLtgwNU2e9+Wjv0WkTRAm322M+3bXZ7oli15EXI0sS9aKMrkKeZxR0lbKl0igYuGGKG4UoElSLBuQ5kpSiK4LtMRSZrhNRNDUaJaEfmHQUzYKEDx70ub4/Zmc4Rs5lVhsW55uVp2qSJhqUDx4M2Ot7BGlKUVc41yyw0SyQZRKf7o1QZHlqo5/c32RV0hr6Uwu7JsuoqsRC2cAJIu52IrZ7Djs9D1kS7EO9oCCRs9EscW29xsW50hNb1++2bZI0P0q3jrh3OGJnGCABUZYjZ/kRNW/yzsU5XluvoyoSXVsAsXsdsb7pOqI/LMtEw4eqCPdTloHtR9QLOvc6zhQIqJKMpsp0nXDKpFRMjaqpn8qkPE2fM/v/ycezKcVfpsbnccxUzwkpWxpjPz7GUKmyLATowMALmSuJ3q21ekEI6lOxppsrm1wNjwSzHYcPHwzww5g0zyGXGLkhIzfGCWKKBZ1L82X6TkTZ0pHIp6LoSRv418EEzbI/U/FzIOoqqgWN5brJ/ijgQc9h3/bw4+SoEPhhMezJ1ddnBw7NssH5uRIDJ2Rn4NNzE5ZqBivVItGRTnDgRuz2fTbnirx9XoQWbvc87nVcSkaf37q6SJSk/MknLa7vjxj6ot7o84CfyeMsmirXD2y6Tsh210OZk3l5tQJIdMYBbhgx8kIUWWL5RHDhUs3izXN1bh6O2Rv43Gu7kEnfOC3XN32eA59v0CRpxif7I9rjkKKpcnmxzD9+fe1rf0Mnacbd7pi+KxwoiwVDJKJWvvh+eZLfcvNwzP2OcyQQltmoCVp+q+chA6Z2vMDzaXOrZfNXt9rc74o28oEXM3AjcmCuaKArMm6YMFfWiJMUUpH4m+WgqTLVotBR6KpEmOaEaSaSetMcQxOC26qlPaIzStKMDx70efd+n47tkqYSCzWDpbLFy6tl1urFx/4+WyOfrZ7L7ZbNXt9DkhXmSiqXF8qULY1RkExZnklY4pN0PB3bZ75iCivsOORex8OLIjp2RMlUKOoqr603hCXa0KZBgyfdOBNmB+AvbrX50c02SZwhqxKaLLE3DJCzHFVV2KwbVIoml+ZLvHW+TtcWJzIAO0iEe0xTQJJwgoQgSdEVwbjVLY1xIFEoKthhgizD/sifATkyZU1hpWqdqp05DXA87b03e7vJx2eZs4KeKZNU0CgZDytmJg6nLGPqmDuNJRq4Ed1xBEikGewOfBQZFkoGa/Ol6fNwQsGSVS2NXMrZ7XrsDFxkSUKS86PXO+ZexyXPUnRNpVk0aNsBmq6wW/Z5cbmCpkqUdO1Lya551jmZCRREicg2irNpYOhW16XnhNw+FOvQJMumf1MnV181Xee19Tpt2+ez1hg3jhl5CutNjbcvzrE3cMXKqOfSd2MWqjpvbtZRFIkHfY+fP+gBOddWqqzWDHrjkINBwN/c6pJmOe9cnH/m56gqMq+s1ylbKp/u2VPdT0qGroncLFk2iNOU/jjkvQf9R1Zek+cZRCldJ+TwKOTzud7n7PMc+HyD5nDoc+vAoagrLBZN/k9vrH/tgmYQTeU39m06js9iRQTDfRkhihOW5+bh6AiYxDRKKhsNi5KpMfRCuuOQkqGxUtepmmc7IAdRwo9utPj5gyFDN8TUZXRFYb5skuUgyzkpOSVTiJpzxBV5nIlskGbRQlEQOUFJOmV5RDCbRNnUj2lpJrPbd/lwZ8CNfZueE5Ajc2HO4OJ8mReWKk8UgW91x3y0M2Jv6BFEKaoq2tGvLFXQZIX9oX8qy3NSx1M2NCqmhiSL8MTOOOTjnSFDLyLOUmoFk9WazGKtwMvLFX75ysL0MZwEPC3bJ0lz3t8ecONgxMgLGXkJozAGJFaqBo2ChaUrFHSNS/MlfunyPLdbDqYh0RmH2IHIKKqYosU7y3K8OMENEixDpVnSqRd0ojjD1BUs/chdZWqPrJlm28Vngc3k37PBjpMsmbOups4qUj6L4Hny9dnvG3qRKGCd+bosH4mRONKTnWicd8IUVfLQZIWSpUzXZSMvFp1UdkDF0qYs1xvn6izXTZI053KzTMcVuTgPui4HAw9dldFlcBPoDV0GXkjNUMmRyLJMrBg1GU2R+e6FJjVL+8pt8SfFzw+LPkFRYL1RQFclgjhjd+DTGUesNayp62s292fynvnOZoP15pAPHgzxItH7VTVVjLky9/suewOfO5HDctXktbU6r6/V8IKUnh/y8e4IL0q5MF+GXOJOx+Z+15mGVP7Wy8tPfU6nzSRIccLcbHc9aqbKhbmSYEddURuzN/DYrfqPdHVNjjvvbQ9FJtHzPq9nmufA5xsyk7LPgR9R0lW+f2Hu77Xd/Kyz3RlzfX/E4dDHCVIuzpu8slKbupA+7+z2XW4ejrl7OKYzjpDIWa6bwtEjSeTklAwNSYIL80UuzpfO/Ef9Jx/t89MHffa7LpWyYKcuLpTYH4b4UcrIDzBUDUOVWC5bOEGMl2RCeDxXxtTkaU7QLMuzUrMA6dR11fsP+rx7r8+DgUMYpeRIbM5bvL7WYL1uPVYgLBiiAffaDh03QJNlFisimK12FGpm+8crMWZZnlkdjxemOH5MWjUYOJGg98cBWZqhaCrrjQKb8yXW60UaBfWRxzQBE10n5N17PXYHHq2Ry6f7DgM/oqKr1Eqa6NsqWvzKlXnOLxRRZZn7bQ/TkNgZuCJ7xn0IdnrjACRhjddlnXGQUNA0FBmqliZSoMMESWJqv3/SmmkW4Jy0pRuqTNsJ6bsRJUM9kxj5rCLlx33utNvMrq78KGHgxtO+rtmvj30BIk/T+5iqwitrD80DExu4EyYkWUbfEw6lk3ohU1VYWy0w74RsNAucbxTZHfoMvBDbjfEiD11VUHLhsLODiDjLubQImQO6JvM3dzposjy1xX/V2UCnMTgkIrfn1fU6bhDzWWtM1wtpj0Xi+C9fmWeuZBxrlp883jc2GjQsjft9cWERxBmaIrFeL9AfhwzckL2Bx3zF5LubDX75yjw/3+5zOAq41Roz9GKurVRoFA3+6laH9jjkb+92KVoqr6/VP5fAeJa52e45hHHCYsXitY26MBvYEU6U0x37QO2R24v+MdHntW/7rDtPNko8n4fzHPh8Q+aTnSE39h0USWK5Wfx7bTc/60wcVi07oOuG1CyNsqWzXDe/0GMTzMiQj3b6dL2EhbLGWq3IxcUSfTdk6Ioups1m8Zmb1n92v8tf3+0wcAJkTWW9YbHWLJFmEroi48sJBUOjXtRpFAxkScI0VJpVhY1mCVOTp2LSsZ88wvKcJkr+2f0uf3O7y87IJY5yapbGxaUSF+bKT3SftUY+f3HjkE/3hxR1laWayeWFCkVDwfYTZElGlR4tEk3SbBpCONHxSDJESULHjrhzOObQEZqboq6yWC1QtVS+f3mel5bFifTk72/CkhyOPd693+OT3RHjQOihVEVCzqFoynz3fJPfvLrEatXC1FVaI587bXFiKifaI2CnbKhkZR1FkpFymaKpoSkyBUPFDmIsXaHrhGTk2EHC0I+OCZpnR+jMHtXJzNrSDUVGPWLGGgWdiqV9YcbnpLj5aYLnyddnv89UjzM+k69rsnSq3mdqTZOYnsTnygYlQ2Hdf5iOfFIvVC8aDFxRwVHSVTabpaN+MI0wSVAUib2Bz82DMUM/4kHXxQ9T9gcusgJFTaFk6Ei56ERTVJmBF2GqCpau8Mpq7Stdg50UL8eJsIav1wsUTW2a+dPzIj7cGbI5V3wsM3xuvoyiCO3UwdA/iqDQubRQxg8TWuOAWy0bVYY3Nxr89kuLvLs14OPdIdf3RwyciDfP13hjo8bNlk2UZPzvnx5yqzXm9fU6L61Un/m4uNYokqYZThBzaAf87b0uhq7w4nKFF5bLfLI3ZHfoc/tw/IiDVsQhFNgfBkRJ8pz1eYZ5Dny+AbPXc7l+MEJXwCobfHez+bWvuCa6nkM7IE5yqgWdxbLJ5hfU9rSGQs9zu2XTcWMKmsJGvcR3zzdQFIneOCbJcuZKwvn0LJb1IEr4cGdI1/bwAxH6+Npqg5KpMHQT7EAkLhc0FUNSCCPhCqqUxBrNDRLcQJx0oiSjbCoYqs7jWB4RKjjgv3y4x3bPJcslXt+oc3W5wqXF8rG05JOz23f5y1sdPjoqFtVUhZeXq6zUC2x1XeFOkaVjNRMgTv6z4W9RkjJfMemOAzp2yN3OmDjNppqoC3Ml3txssFq3Tn0tJ+6xux2Xmwc2N/dt7nYd7CCiqGuUCxIbjSqLJYN3Ls9zcU6UsHbdCK8vnGVuIGzofpg8AnZUWaFiSCgqbDaLBEmCKkuM/Rjbj49AgYpqKuRSRunoyvkkm/MkB9di+bgtXVdlLqkPBdqfR5g8+/FZP3fa1x+3lpv9/8nsoQkYmjicdvv+I+LtCRN08vayLDrBOnZIK/OnLNBCSadZLuOEKfMlk81Ggb4X8ze323y6b5PmuQhMTHJ645CWriAhUTY1zCM9XJhmDL2IX7my8JWuwZ6U2/P6eo39iknPDYQ2buBRL+i8fb5x6vt9AjRaI1/kSQHLdYtGyWDgRxz0PVQk0izn+xfn+f7FJmM/5tahTc8NeG9rxNWVMu9canK/49EaBdw4sNkbBOwMXd7ZnH9mh9W5+TIDN+Zm2yEMYz7cGXBpocRyxeTDHeEs/Wx/xPm54iPM0lzZoKArHHZ9gmTEevM563OWeQ58vuZJ0owbLZv2OESV4ZcuzPH6ucbX/bC4sT/iVkvQr5IEG40i9aLOtbXPz0QFkagmuN92sKOUuZLGcrXIUk10V01O5hvNApfmnw30gFhx/ejWIUMvYbFicL5ZQgL8KGfoih4uFYlcyrGDkFyWqFg6WZoRJhnK0QnZD1MsQ6ycHheU2Br53Dm0+dm9PjsDnyjLOd8scG21yitrtSdeee32Xf7i5iG3Ww5RklIv6qxWLSRF6GImAYOzQu7JWmvgRQz8GC/KUOWcKEm523H4eHfEwAnQVZmVWoF6UefSQom3zjUf69CaBCPeaY/Z6Tm07BA3irE0hZIh3CS/fHmBa2tV1mqF6Ul2UneRpjkjP6Y9DlAkkZtzEuxUTBXbTyDPadv+sZwdgQcy5usWSNAahtw4sEn2MqIkPRYyeBYHF5xePfFlfHzWz01m9jGc/NrJzwtR76NgaNbhdNIGj8T0vXHy9pN07gkLBBIjP54meS9VTDbnRNJ32dCol3TCKGMcJHTGPnGeY+QyYZoQ2Al2EJGmQiBdstRja7CvigE6bfU1ye1ZrxcoGSrbXZet3pg7bRj4Eb//ysqpIGASHHizZZPloietVtQp2hojP6bnBpRtja2Oy+sbNX7/lRXmSvpUIP3u/T7rNYulqkmtoHG34xCmCXcPXWqGQa3w7PEjL65U+HBvwHZfrJq7bshSzeJcsyC68oYen+3bvL756LmhWlTJ2jlukHK3NX7O+pxhngOfr3kOhz7bPQ9VlVitWLy48vXWZMARA7U/IkkzwiRHynMURWKtVvjc2p7WyOfj3SE/vtcjTjIWKjovrdQoGKKCYmfoPXQrfQ7Q87e32/zo9iFjPyZFYqVZpFRQyXJ40LHpeTGaDBXLJE0Sklw0pStAGGfMlRTSDLI8P+r+lqbdVCcfy27f5af3exyOAuwoYaVmoqkyP7iwwLXV6mOvuCYOth/f7XL70CHOM5YqJsv1AkVDZeynVEyZ+YpxareWoohqh9ZQrJGiKKXrRbRG/lFgn8Fq1eSdS3OcaxROzQmanCC3umP+9PohHzwY0HcCohQKusJc0WSzUeSdy3N873xTNLw7IS07wAsTOuMQP06JEsEwDP0YRZKoFnRUWaZgiP+8EJIsZRQ8PHG7oWBpkixDlkCRJWRZ4mAYsG+LjJYgTslzCVNTKBnHQwYf5+Ca/HsyX/ZB/zTm5rSPgySh78b0HZEzs1wzaRZFO3vJ1JkUmp42p4Mh41iu0GStpSgyQZye+vxVRbR6I0EQp3hhQtsJCVMRzLjVdafdbXNlg7mSwXqzQG8c4iUJ720N2Om75FlOnEKU5xBnxGnKyBUMSc8Req8JA/QsIZdfdE6uvnRNoV7Uma8YFFRhAjgYujhBwnzR4PdeXTn1/fDQWSVCBUu6yvm5EgVDFa9FEE9zcjYbJX7/1VXWm0Pevddnd+iyN/KJ0ow3ztV5abnCx3sjvCih64Wfy2Fl6ipvbzaJ4i66LnMwCJgrGlxdqtC2hWvr7+4JN9lbF5rT26mKzHqtyEEtYHfgcqttUylovLL+9QbeftPnOfD5GidJM3aHIowsR+HFlerXnsI5eUxRmuH4MXmWUSkamKryubU9raHP+zsDPt4ZMvJiNFVitV6kYqoEcUYQpY+4lZ5l3t/u8/95f4d7bZskgasrVTbnS1iqStf2edD3GXkhhq5iqTKGblA2hOZHzcVJu2ppItyPnKEsyhNPW7VNQM/2EeVetTQuLdR5fa1Os2w89vc3sarfPRzTtgN0RaakKyxWTeZLBmkm2JHNuePOpdn+LT9KGfgh7VGAH6S03ABFkqlaKotli3pJUPxXFiuPZXicMGF/4PF3d3pcPxgycCN0VaZW1FivF3lppcqbG3UuLlYeYQ/6TkiU5ARJiqnKyIpMxdDQVFm4bTQZL0i53XZIs3xaklrUVBQVqqbOyI9xnJg0yyiZIo/GCRPSNEdXVGqWgSJLRx1hj4YMzs7T3osnrfiTqojZ+1MVeVoqetpaanfoAeAcCcwHXogdxPRGIW6U4MUJ4yDhcOTT9yKSLBUaGSDJMlRJolE2OD9f4oXlKufrRdaaJqaqkmRiJTn7WE4+v5O5QpO1Vsl4cm7LLAvUmIk6UCTo2CE33fGUAZorCQDUHYeEKxnn54voqsKNvdFRlUREmskomnCjPeiOUWQZS1eJ0gw7iPlBnHF+rviVrL8mq6+uU5i+FnNlg7miQS8QqeoDN+LH97qsNQq88RgGfa1epDsWzFFOznLVQFdlCoZCHGd0bB8niDkY+ry92eSNjQbzJWPq3Bz5MX97t88Ly0VeX6+z0/e/kMPqylKFcZCwN/S503GQJFirF3hpucrf3esy8iJ+vNVDUaRjW4GlmsVra1X8KJkyWQVd4eLi138R/U2d58Dna5wb+yOuH9jIMlxbrnJ58au5anrSfLI75PqBDWQ0yjpJmiNL8NJy5XPpjpI048PdAR/tDDkYCWr6/HyZ9brIYvkivVsgwvT+28d73G455LnCpfkiLy5VyJMMJ46wwwQ/FFqSNM9J8gLnGyarVYuCoZIkOZBPRc26+uiqbXIC2e27vLc9YLvrYgcxhiquEl9YrpDL0LKD6UF4dra6Y97fHtKyfYIoxdRUyqZKrWBQMtVTn/9sESNHmoOO7XOr49C1Q3RVEtZvRebFlSq/dmWepYr1CPCanMhbI5937/fojENuHo7o2DFemFAr6mw0Crx1rskr61VMTSFJc261xPty7CeARN8JcYIUXTtaOVk6uwOXHImGpWKoMj03muYMSUDBkKlYD1ddydFJ0otTyKGUM2V0JmnKs6/d41ZFj3ufzQKa3YFLkuXcOhzz/vaAKM6Yr+oEUUZnFJDmOUt1k6KusTfw8KMEQ1NIspwgTDF1RTCeKShSRprnhHFKlIAbJbhRQhgmZDnEWUqQZCQpaIrM0I1QZZkozUhz2Bn53Dqwefd+jyzNURUJVZWpWToNS2O5XuTSUpmrS2WqlgA5JVN/5HWA44DmaTPLHk2Y2km7+WkM0EmmSF2rcXGxRBBn3D0cszcKcMIQRZIZBzFjT2QRqZLEu1ui8qFkqF9JOeok22b2tTB1lbfWm7T6AT/dEu/1P7t+SL2onRolMREHu2GCH6eEiWA9k1SjG4f03BDNj3HDh8B4Epi4WDH5yf0+D7oubhQThTlrzQJ7Q599238kePCsz+lcs4gTCUfpbH/Zdzeb/MWtDt1xyM8e9JmrGMeOx7PrO9sX3WJjPzl1NfZ8ngOfr20mNvEkzajoGmtzZ0sj/vucjx8M+JvbHeIsx9IV4ihF02XONQqfq5MrSTM+2R3yV7c6DP2YhbLB25tN5so6h7aghOdK+ufq3QJhIf8v7+/y3s6QMM1YLOu8vFpBkSWGbsxO38WPE8ZBRCZJ1IsG63NFNmoFLi6UMDVV6Cjc6JHy08njmVxh235M3xMt43GaY6gqq02LRlFn7Iv1k6LILFc5xth8vDuc2mILuiKs6gWNNMuP2sBPzwO603Gmre+KLOFFCbdaYx70HObKBucaRdbmiiyUTF5frz/Ckk1asLe6LgM/4GZrzFbbwfZFXpGmSlyoFnlto8kLi2XW6gWSLGOr4041OBVLp+dEyIoIVpsvm4SpaHEfuhFJnlPQFbIc+kcne0NRUBRQZfFePrnqMhQFQ8keySKanMDO+jfg+NH0NR4GMZ/sDbnfcVFkodnoORG6ItEa+XSOmCr9UCbLM8ZBSppmbPd1TEVmGMSCdVQVZEUiTlNURSLPJTQpJ8rFCTGMc2QpI04gSXIkWUYHLEOlRk6citdjpV5AkUT9xsiLibMMJGF198KEHJk8yzB1EZipKz3KBYPyEfAqWSqvrte4uFCmoCpcnC/TnKmW+DzHiSkIOgI3JxmgVuZPHWSTldzkve+FCRVL47U0Zbvv8+GDAeMwEc/Ji/ns0GYcxJQsnbKpTstRq6b+xATwL2Nm7ztJM5ZqFr/18iIDL+JWy+b2oc2fftrid1+RTz3GTEpEJ7qhNM0ZehFJllPQNSRykiSjbYfHurEmyc1+lLLTd/jZTio0hIrC0ItODR48y0x+P7MVHHc6DpcWSlxdKfHJjo3txez2fJYqxy8UX1mvU9AV3n8wYH/oczgOUVX5GxGL8k2b58Dna5jW0Oe9B0N6boilKZ+bTfkyJ4gSHgxcxmEq2qB10VuV5Rlz5WcXL7ZGPrf2bf769iGHIx9JkticLzBX1hkFCT03QlNkmkXzc7kQfnK3w//4tMX11pgsy1mtWbxzscnFuTK3WzYP+i6tkUd8VN65UbO4tFTlldXqsXqJMErY6XsMvOgREDbR1vTdiCgRV/W2n6BpMksVg+VaAVMTjpdJK7qpKVPG4ZPdER/uDPGTBFNRWGsU+O5mgzgXJ5s0y04FPVtdl4OBT2sUcGh7aLJMkKVEaUataLDZKPG7r61wdaly6olwIoy9eWjTHUfcPXRoj0OiNKWoKqxUdBbKFt+/NMcrq7XpbSYrNUtT0FSZrZ6oi1hvWBQtk7KlMvYjRoFw+JQNDVUWVvuCrlAwVIquTN+LGfnxUdHro4LkS2rpGCPQdcJjgXOnFZPOgqO/u9vlo70hrZGHBIRRhh2I18fQ5CNwIQmXpCZjaDKWDjVLJ04zVCUmz6FR0NA1BVkGV5Up6yqaKuGEKaYuo0gAMlmWUbJ0ZEmI4/0oQdMVypbKXNGkWdZYrxWZq+gslB+usZIsY+QnfLw35GAY0h757A88BkGMJIGMhO1HxIkQ3w/J8eMMTVE4GPpYepsMWKiYrNcKVEyd9YbFS6sVzjUfMhjPCixOMkCTepNZB9l647ibsOGEBHHKUrVA1dL4dG/Ids8jSlNKmshL6jgh680irVGAE6TEScqlxQrLFYPV5t/v8a07FuyTqSqs1Yv81kuLjIKYB12Hn273AYnffWX5sU6viW7oTsfBMlSiJGKuqBOkKUEofpcnu7G+c36OJM/5z+9FuJEoH315rUoYpxwMk88tNJ51sX24M6LvRux2PV5frRPFuVi1ugGtkf/I87m4WGHsJ2z1fNI4YrvncWmh9LVLKL5p8/zV+IonSTN+/qDHrdYYTZV4bbX+pTecf55RFRk/ESufoi5DJuPHMXMVnbXGs62gWkOfP/lkj1sHNod2gKWpXFwo88JChf1hwMCL0FWF8/MFLs2Xn/nA8Ccf7/KXn7Xp2CGmprBSN7nQKLJStdgf+eyMfHpeiB9n5BIsFA0uLVf47auLXF1+mLWRpBk7I49DOyDL82MgbAJA7vddHC8my3IkSaKgK9QLOrqqMPZi3CA+5sKaKxm8v93nxoFNyw5AAksVjepvnWuyVLPojkUL+klHUnccstV12eq57HRddocOe6MIS5PZbBa50CwwVzF4Y6POqyfEi7P3cX1/xL4tenxsX5ywyoZKwTC4ulLl0nyJpar5sMH9CPSM/CPtjaGgqRKmJpOkOWGSsdkUq5dWmBJEKQVNZbFisFwxyWVI0pzxkT09TjIMRTmmWZp9nEM/5saBqByYDRysWTplK0KV86kYeHfoiQ637T5DTwDQg1GAHcT4QYamiTqToqagawplQ6Ggy2S5RFVXuLBUoWJonJ8vkeWQZhnmUbaOIkPF0ujYIe2xT6NkECbZNBNIV2WcICaIM4qGepQ5FHC/42IoCkVdoWhpaLJKlIIX5nSICWLRdF8raFQsjavLNV7fkJgrGASJCB80VZX22OfDHZubrTFuFDH2EvaHASkphqri+AlRljEaR9xtjYkTUWq2UNH53oU5XlitUlAUzs0VOTdXnna1PdMa7IhhmHWQSUikmViBZUfMpAAUgpWuWBqNksH8wYj9QSAckshEcUp37BNECVVDp1xUCfaH3O0oXHHCx2ptvuiIlOuYg2FA341olnXWahbfPd9k4EYcjnx+cr+LBPzwMeBnqWpRs0Rg6oO+hx+mBGkKSBi6ArlYAZ7sxvrOuSZbHZcf3Txkp+/RLJksVkwORt4XEhpP2CJhlx9xwxU1Rm+fb3C37UyZIOCR53NtvcattkPL9nHD6GvfJHwT5znw+Yrnk50hn+6OCZKUZsXi3MLju5u+yumOQ8Kjk0GUZyRhjKFJXJqrPJOTK0kz3t3u8f7WgL4XUbV0Xl6u8NJqlf2RiGa3dIUXFiu8vlZ75iuR//TTbf63D3ex/YS5ks4PLjZZq1vYvgjw6jghHdsnCBNkWWaxYvLqep031mrHQA8IlqM9ijA0hVpBZXNe/C5aQ5+7bYcHQw/HEw4dVZYpFTQaliglfSRo8UjY+d8/2efGvo2miuj/C3NFLsyXjoWbTQSrE7HqZO0g5SK/5VbLZm/kMXAipBxMVebyUoXffHHhVB3P5D7CNOFB1+Nex6Ft+8iSRAosVy3Oz5W4ulqdMjyT3/n9jsPByCOIhf5GUyTmKxaqpNAomEhSSJ7Dge1PO8AmIA8J9gcB7bFPtaCL9gWkYyBw8pwnJZ1dJ8CLU9Isp2SoKLKElEtkaY6hSnx2MKI1CgiTlK4bMnAi8iyn60TYYYwigSLnpFlOwZCoWQbzFYML8xUuLBRZrRUI4mwaE6Cp8lS/8rjcncuLohg2iFP8KJ2CoglAmtRNTPRPlhrgpQlhkHDo+khHDsCSIZK2JXI6TnTUzyVCC+NUAIg4zkQXnKXRLOn8ypUFfuelRdQjt1vvqDSz60Z8uj+kPfIZ+zHDIMEOAoIowYkSeu4Bf3HzECmXWG0Weed8k2pBQ5GkY0L7s+iBTjrIJiuwIE4ZuqInbDZMcXKiVSWJKwsJQz/hfsfhfsdBkiS8KKPv2VQCjbpVwFCFRkxVJC4vlL90AbSqCGAWpik9N+BBz6Vd91lvFHh9vc5P0pSBE/Lj+13g8eDH1FXW6gVGQYwTJtheRJRm1AsaILSOcZpx6DxkW1RF5vsXmtzrjGmNQrZ6DueaFs2igR0kXD+wKVvqE+tqnvS8lismd9tjgjjj+oHNL12e4+JCiQ93RjzoebjBw7LW2bm8WGJ8tGY+Lfzw2z7Pgc9XOHs9l3e3unhRQsFQ+M5G42tfcYEAK1t9By9O8CKRWlzQFRZqxhQMnHU+2R3yk7s9hoFY/bx9vs6vXlmg70Xcao0BWKiI+31W0POz+13+9+v70zXZi6vCgXSzNaY1CtjquzhuiBsnGLrKhZrFK+t1riyVuTR/3Ok0SY8eeCG1os6bG/WpWHJ34HGvO6ZrRxRMBRmJUkHjfKPIet0il3gkaDFNM358t8udwzFBkjGvGfzg0hxXlyunPs+JWHqiLcgyGAcx7ZFPZxySZSJVdqVm8tJqjd94YelUt9ukp+tex6E9CrnfdVCPMnVqBY2CpnJxscTLq9XpwXc2I2ar79G1RRt9paCLHqk4Zb0uftYoiGbWVjKNklhdJVk2TWwmF5k+CxUTS1dQZQlVkblxMGboRZQsBWBauClLEhIQSAkdJ+BB38fxIoqGQs9LiNMUP84I4gRVVrE0iZIpY6g6BV1lpVFkriiqSMqmysZcQVSdHJ1Qn5Tpc3Im37tUtdjtuwRxRi5lGKpwHA480cYtVqEGjaLGct3icBTgRQlJmqMrEiMvxgtSSpaCHwlHZJblxHHOyI+QkI7Yrgg3SqiZOleWqkSJCE/wooRaQWO9UeTcZVE++o9fWSaIEx4MfD7Y6fPpgxH3umPsMEWVBcMWJGCHCe2Rj6UpZEj82fUW19ZqXFoss1g2qVr6E91xk8/NOsiGXowTxshwLEzRCRNqlj496U80QI2SwULNYqs7pj0KyXOJPJHZHwlr/ELV5P0HA+60HUqGyktLlS91/TXR6uz1PUZeSJJnFE2Nt843kIAfb3Wn4CfJc/7JG2unrtgn9xNEKXmek+Y5iiSBJJNmKbKkMPLiYxqec/NlfnBxnv/80R5hktF3E15cKvPR3oiuE/Lpno0qn64xetqsNou85EX8bHtAkKQcDAJeWavSLGuifNgJuXk4PqYnUhWZhZIBSLhHxbSnhR9+m+f5K/EVTZJmfHwwZHvgIwPXlhvfGNHZhPlQZQlZEkJOy5Cfme3Z67n86acHHI58LFXmOxea/M5LyyxVLe4cHiLLEnMVnbc3m8+s6wmihD+73qI1isiyjLcvzvO/vrnO7bZDaxSwP3Tp2IJ9IIdLixWurdX4zRcXH3GLTQDHBEAtlh6uuFojn/2hz8CNyYAozo6YHo2iqdIeR48ELXaccBqdnyOzXrd4c7PxRGp/skpzg4Sxn9AZ+bSdED9KkOWc5YrFC8tlfunyPJvN03vKkjTDiRJsL+buoUvb9ojSnIqpcnWlwuvrDYqmeozx6I5DbrbsaRaM7ccUTdF4XisYKDIoikSQpIz9hIKmEkQZFVOlYBy1vo8DRn6MGyTHYgjmysaUfZrk8kRJTiMxKBsqGjIS8KDvsj/08PyIVJJxg5g4ydB1BUMThbILRY0k11El+M6FJhfmKqRZxsZcgZqpHTuIP83mnqTZMR3RpGJieNQaXytoj3R82XJClKT0nJA0y5ElmeRo7VO3NLIsI0cXIE6SCOP0yBUoIZdEiaamiuTjth1gKDJlS0NCQpVkkGT2Bi6dsYcsCyH1hfnyFLBOQJypq9SKJlcWyvAW7A09ru+P2B0EbHccdgYuSZZhaCpOkBDnAnQdjkP+6laH9aZYJ7+6ViNOc5BzzjfLxyzyp712J1nJSSeciB+IqRW0Ryzza3WLy/Mlbh+Oef/BgDBLMRWJUZhyqzWmZfs0iybkOVtdh+9sNnnjXOPMLrWnzVLV4oWlCt4RQLjfcagYdX77pUVAgJ/2KODv7nYxNYX/6/c2T/25swWgYZoy9mPCOAUpQ9dykgj8KDkmdv7exTnu91x2BwFtx+eXS02uLJXY7np0nZC7bYc0zT5X3tHVlSpelLI39GmPfYZ+gUvzFcgk7vfEivqkhX6xJgJRB35E1wu/EVuFb9I8Bz5f0RwOfW4fuuQZ1Mv6N6KLCwRj8O79PnYgrvA0WULTFFbr1jOxPUma8f7OgJ2hjwS8sFThd64ustYo8vHOgP2Rj6rACwuPD/h70ry33ed2e4yhwblmmf/17VVUWZ4KLJ0oZuCFOF5EyTKoWRqX5sqngp6trksQpTSLYm010RlNvjYKY+IUdEUE7NWPLMZ9V7Afs0GLnXHAX9/u0vVCTEXl8kKJ75yvP5Hanvycnb6HGyW0hqKFuT0OWaiavLBQ4c3zTa4slJ+YaTQ5oN7rOsRJjCRLzBc0Xl6p8VtXl6YansnJa+RH7A98dgYecZyxMV/khcUKSZ4d6X4sdgcuu33/qEpCoVHS2Dhiuba6Ln0vJIoz4QyTJS4ulHllrUbXCXl/e8C+7ZNmOVGcIQFxknK3M2J34NOzwyNWMSWIMiRFomGqGLpCvWRQ1mUuLFZFsWazhCxLKDJcWqg8ka2YnWMJxkdg5+R6rX+kFeo5gpkIEoOCppza8TVxp4FY80xAU8EQ74kJaAqTnCRPKWrq9GNTVuj5EZoiEsIrhkavFNIdB2SIFabtC2F8lGR0nYCNpnUqUzUBehcXKpxrlqavx97Q4+aBzShI6Yx9hl7EXs8lSHLGfsT1vYT7bYePd4eUDJWlqkV7FLJYsciljPVa8bHvsZNhihMWaDZD6OT3lHSRzYQs0bbF71zXMhIpZ+TFtPoBJUvFCxMh6vYi1psFSvrp/VrPMhN7+iiICeOEzjji+sGQ5doSP3xlmSTP+cvbbfrjkL+81Wa+rPOPXj494HC2AFRRJAqygog7zVF1CeARsfM7F5qMPm6RZ3CjNeb1jToKMj03oG0HdMYBdpBw9Rk7vSY29yBOxUVJnLJWN3h9o4aqSDzoCwdYd6akNEkzLFXB0lQU+NLA5S/KPAc+X8EkaYafplQsjTTLuLpU+UJ9V1/m4/pgt8+t1piuEyADi0eOglfXas8EUG7sj/jZ1oAwSViqWvzWi4tszpWPpUBXLO1zhSB+tDPgv316QJCk1Cyd33l5mQvzVT7eHQKC8o9iiNMcS9fYaBZ4eb3KxaXyqaBn4sCazc45KWYu6BKyLNMoakf1CvlUtDthOIIk4b2tPj1H1Ey8tl7lzY3GEw/gu32Xu22HnYFHzw45sF12hyFeFFMv6mzUivza1UVeWX08MJ4wN393t8ut9piDoUeew2rN4uWVGt+72HzEKfbedp/oSKgsHSUt1y2DWlETK5tMZPf03Wj6+qiGwthPsYMYVRKpwXsDn0pBm3ZluWHCjb0RPT9if+Ah5RId2+fQCWmNfLyjhGE3ygiTFIVcFF4aMs2izhsbTV5Zq9EoGVRMdXrVevLk/zjGa/K1CdCZdFaNvPgY66QpMoZ6HNSYqjj8lSyFoqaiazKXFh46zlpHIG6i8VmuWVO79+zMiuVPrtq6TsiOpoIsVlqmrlA0xGtuewmZlNMoCVecIsl07JAbjKYt63Pl4y3jk48n/54FQqoiwhjv9Vzee9Dn1oFNZ+QR5xK9oyiGg5HLXt+iXjLQNYXtkssvv/D07q3ZVdiTvmeyKkryHEsVjr/OOGLoBIzDhNDIGLkh9zoxSZrhxRn3ug7zJZM3z9U/1zpodiY/3w0Sbkdj+q6omHj7fIN//OoKXpDw4/s9+uOA/9e7u3TckH98be0RJ+EERO0PA8qmeL9HiTBLGIqEpiq0RgH32i6qpFAraFyYK7ExX+R2y+GT3SFzJZ1rqxV6jsG7W30GXszPtgd4Ucq5ZvGZrP5LNYuBF3E4DkSFy9HvapJDpGvKsTRvVRHO06EbkeY5Qz9m6fmqazrPX4mvYFRFpmYZvLpaI0wSLi2cnqz7Vc9e32WvH+AEMX0noFY0yPKcFxbLzyTGC6KEO+0xPddHQubKaplr6zWSNBPrmzhFlT9fCOLQDXh3q8tuX4hr396Y44cvLwMiOj9MMqJcROqbikKtVuCXLi/wmy8sHQNup4GeCSNyEvTMipkNVZQ16qpyDCy1Rj7vbw85sENMVeaVdbFWe9IefQJAtroO+8OAIEkZeCGmqlA1Ld481+Dt881HHFuzM1k73G073Docc/dwDHLOaq3Aq2v1Y+WMkxDE6wdD+m4s0lwXSpR0DUOTWa6Kk0RrKApDJ+JkcXJWp4GEZUMjy3P8OJ0mPIdxysATX/filBv7Qz7aHeH4IbKiECUpTpiSpSIUsqgr1C2DetHg/FyJF1crvLxcmYq1T7sinf33xLE0mZOrq5EXT0XWk36vNM1RJJlGUaFZ1lmvHU/FBui6Ia1hyKEdigyaDA5GAYe2T5hmBFFClOQkWU6awW7fZxzExx7npHV9dn02+/l6SUeTwNBUdjIPJ0woSMJGr8kKYSLWZIqcgWQc69cyVJlmSZ+GO54EVpP/Tz4uWTqvrulcWSjTdUM+2Rtyr+0y8mL8KGHoRxw6ITc7NnIusVq3GPgxi0f6rKd1b53luDW1h2vCuXZ5sYITJOwNPXYGgvXueyEHdoihOcRpgaEbH/W/fb510MmfDyI5e7vrcvfI/fT2+Qa//tIiPS/gg90ROwOXP/04paTq/JM3Vx95bnNlg5WayYO+R5hmFAwFL0xJclgsaMRJRpTmTG5m6iqX5ksc9D1GfsyffNLi+oHN6+t1zs+VSDsOQSJWVod2yEJVn7JFT5skzY5E+wLUT/5eZkMnTzJxV5erPOj7uGHM9QP7eYfXzDwHPl/RnIye/7qnNfT5cHeEH8c4UYx+dLJ7abn6zNqjoRdzqzXGCVMWKwYvzD90EPQcYV1vFLRndhbc2B/xk3tdPt4doauiNPQHL8yJcLWhzzgQ4YRekOKEMZahcHmxxLXl4+u0iUvrZEDhbDpy348fAT1VQwQNWrpy7Ha7fZd37/fZ6rkUdYX1RoG3NptPBT3v3u/z0e5AdHyFMQVNpWrqXJgv8/p6je9dnHvifbSGPjdbNk4knBoHI++xoGeiY7pzOKYzFmF+82WDa6s1apZG1w1xIqHbUGSZNMuoWhpBkqEKcgJVkvHCFBmEQLZiHbmdxPvXiVP2Dm3uHI5p2yEZGYqsoKYxRV2nqClYusZ6vcDbF5tcXCixVDanJ+qTLMbJmZzgbx+OuddxiVPxGJMsO7a66johSSZ65cIkY6FkIJzfARKik03KJewg5mAUTMHJ5H7iJMWPMupFnb4X0R0HdJ0IiZwsl450LRFdS8NUFdxQBDICyJKMG4mqgyhJjyz32fTzBU18f9eNWK9bvLhcYblm0hlH0xWcpslkaY4XJYy8iHpBJ8oy/Dhm5OcMvIidvs9KzZyyVXA86frk62fqKmu6ylLFIrmS0XVDdgceP7vfZ7vrEmUZthuz1fPouhGLVYuiodF3Qr53oclq44u5TWdrJZwwZqwnlAwNRRL6mCTPhUNPUUmSmEapyE7fw49S+l78ha3vk78DN0q43Rrz8f6AvhNSLxtcXqyyN/C567ncPhzz/37vPiVL5ofXVo/dxyzrk+TZNJF85Im06pW6RdnUqFn69LV6db1OlKT87d3etLn9Ttthc77ARr1A1Syxb4uVpBPGx6zxT58cJxAp07PJ0I9L864VNBRZwo8z9gfe83XXzDwHPl/hfFPedEmasTN0ORj6dO2YJM1ZKFus1q1n1h4lacZ72332Rh4SEgsVa7rOag19vChFVyUWq4Vneox32zZ//lmL+x0XCYkXFsv8ypV5XlmrT51XA0+UZ3bHPnkuqPhrK1U2Fx6KgSff23MjDFU6Bl4mjqqeGxKFKRn5FPSs1wtoioyMdCxocBb0kOecmyvy3fNPFmvPgp5bh2PyLMcyFOZLOlfXanz/fPOpvTqT59Eeh2x3HcZhfLTeOh303G077A48hl5C2ZLZqJd485xgkj7eHR3l1piYqsJ8xcCLEoIoY3fgslQr0HMixlEM5MyVDaHJUREpzV7Mjb0Btzsuh3aAH6aiokLTmCvrLFcKvLxa5e2LDSFE1tQzW5inTMwRo3M48tgd+vhxQpZB2RQWeFNVsXSREhxEGW4YY+kqeQ5hkqHKEnkOIz/EjzKCJD2m7ZkIlk1NIUwy/CgliDw0TcYJEmQJLF3FVFXSLCUHDEUljDKCKMOP0+ljjpMUw1DQZIUsl0gzsMOIOElRJImuJwT5QZQy9BI25wosVU2uLpenz3Pf9ikpGlGSM/ASdE2iWTQJkxQvTglT8fhHQUyaiRPgTt+noCs0S/ojBa6Tma5EjkDQZrPEBw8G3O+6POiP6TsRTigYO0WWeNAec7vt8MZ6jbc2m19IdzNxGiWpMa3KqBQMXlyqUtZFhIMmy6iKgkqOriu0Rj59R4R7TtKRP+8sVS0uL1bYHwTcPbTZHXgslSzqRZF8vj/ySFKJ/UHIf/rZDlmW83uvrh27j1nWJ0pEzIEqS3SdkJKh0rAeraj5zvk5DE0kKN85dHCCmA+2hhwOQ37zxQXe2qjz4c6QrhM+NojwtNdyuWqx0/dPTYZ+nFNvtWYy9mNySfxNrTWen/LhOfD51o7jpwRhyjgIqReFaPO7m81nXkUdDv0jtkdc0b24WBZXmWnGwcgnTFJ0TWG5dnZtz/X9IX/y4QHbfZccuLJQ5FeuLPDGOdFK3Br57PR9umPRGD4OEkxNZb1e5O1zjeNsz0jQykiwULbEmuqIAQriFCeIkbMcWZGQ84e29WpBI4wFjb1cFQLQ3b7Lj+/22Bl4x0DPkw5ak36vDx70+Wzfxo5iliomr6xUeeNckxeWKmc6uUyex27f5cAWK565kmBwToKe97b7bPc9wihlsW6xXhfuM4DPjnQ85BDFKefnigRxQt+NuNdxiJMcO0goWypZlmOoCq1hgK7JlCSZj/dt3t8esDd0KWgK1YKJLsusNkx+6dICv/WicNCYuvpMwnjgETHyRJ8jkWMoCrWyjqJI9McRqpJRMRVSYN/z8UPhUBv5EbePcnwqpkac5WQZBJGHYSiEYYZ7VEoKgr2ydIVGUSWIUyRJZr5kMlcxpszRhCEqWYqoNHAj2uNgyvqAYJTKhoKh6URxSs8V4EpVhFan68aMQgc/SbGDiJ2+QdlUBWhpFliumVMAlGQZJUXH0hQsTcGNvGln3nq9cARWEqI0wRnH5MBEdiTer9ap+pHJifK3XxI6pUPb509vHPLZvs2ulNMbegzGEQe2R2vk0bIDfvvqIufmy1+ILZhdyez0PMI448UVDT9OGI5jof1JcqpHxcEDN+Ld+30UWeaVtc9vAlEVmc1Gketlk52+y8iPGMgRkpwzX7a4tlzldtth5Mfs9Tz+008foMgy/+jayrH7ONbnlWZUCxocrX53Bj6K8qhV/ZW1OpcXytw4sPmLm4c86LkM3ZAf3+vxm1dVXluvHQsinAUxj5u5ssFCVefQ9jkYClfZk9ZXk3XX0EsYh/HnrtH4RZznwOdbOiM/5mAcMA5Slmsqr6zWnnnFNWlytwOhA7myVObNzeZUhzD0YoI4pVbQzmyLD6KEd7d73DgYIksyr2/U+eErS1xaEIzIJH9nd+BwOA4YuiGSJNEoGbx+rsbqzAFoAnAUGRqmOMEAUwbIi4RdW7d0oiRFVkT+xXrdouNERwBACEx3+y5/cfOQ2y0HQ4WrK7UzgZ67bYdPdwfcOLDp+wEVy2CxYvLLVxZ5faN+poP6VnfMbt/nXsfmVntMnufMl0yuLlenoGcieH73fp+7HYckSWlWTdFLdgR6Jm62iUB7uWKSpBnbXY/dgUffiakXVOoFnUbRYKvnkpOSZeDE8NN7I+52XPpORJZLqKrCi0sVfuvaIpfnS9SK5pl+x7Pi4NPAThCL5GJVllGVjMJR23nRUPHiFEUVXWxBmGLoCh07QlOgUdSFZTvPSXOEI89UKWgKPTckz3JUBarWw8OeLEsUdKHlahTNxzbDT2YSxGhojx46Z7U+E9dXkmVUCoIJG/kJYz9mq+/QHQeUTI0LWZkoyYUGqVlgvVmYBlqCyD4K4wzlyDafZjmKLFE21ekar1pUSTIRvDjy4ulabBIxcBoAUhWZc3Nl/vGrKksVkw93htxEoTXycMKUWy2bkRfRdSK+f7HJSt36ws6rk+nIqqxSLYEfixWhJEHRVACdKM34YKdPmGSs16zPnfkzVzZ4da3K2A+513XRFQlFVgjjjFc3GrywVOPv7nXY6rjc7Tr8p3e3aBT1Y2zTRDD94c6INMtZLJksVw12Bj5OmDw2QdnUVd4412C+YvD+1oC/udvl0A55/8GA/8t3NgCmlRRnaXQXQK5EexQKobPzdLZormywXDfo7gRnAkvflnkOfL6Fk6QZfUecbMhzCprCy+vPZrEEwUL89H6PnhdTtzTeWm8cAzhpliNJ+TFL8FnmoB+QI1E0FH5waW4KelpDn5uHY9rjkCyHPMsJ0hxdkdloFnlt7SGQOLniujRfnYbUHdohWZ6Rk5MjrpKbJQNNkWkUdRRF5tAOCdOUeqFEa+TzN7c73D50iPOMtXKRtzae7ECZCKa3ei43WiNGboSlalyaL/LbLy3xnfPNp74OSZpxY3/EzZbNva7Dds/DC2PqRZPz86Wpe2tiVd/pi1WYIsFCo8BLy9WH5aMnhN2T1OWbhyMGXnyMHZorGjhRQkGX6YxC7nZd7nXGhFFOuaBQLRoslnXe2Kjzj14+PQX3cc9nAnREEWR2DOxMhL7Cxi5hqDJJnOP4AW0nxAtTKpaOrsgUDAVFkdBkiavLJUBipWZR0EXashMmlCyFqqkfAyKnzQTonKUZflard9rMio8nMwvunDBh6EUMvZiRF3O3PaJRMomzIktVk83mw46soRejSmKFHCUphipPXT1OkCABy3VzaqEfJkIgnOQZD/oe+8NgCoAeB1iWqhY/vLbCa+t13n/Q5yf3emz1HFpDn52+EGK3xz4vLFZZqpq8tlb9QuLj2XRkId7WqZcyeuOQgRsBOvWiftR6n3HrcMx2z+UlL3pmGzg8ZGxe32hQKxqC6Y1SqpZGQVepmDJvnmswcCM645CtbsB/fn+HubJxzOAxqY940Pc4dAI250Va+9MSlAHW6kVqpsbAj7hxYHO37XC7PebqcnV6n/u2z/qMHf1xs1SzePNcnfe2h2cqQz0JlnpuQNcJv/Wsz3Pg8y0cwcQI3UNRV5mrmM9sr9/tu/z3jw+4dTgW9HqjcKxhvjUS+h5TU6gV9DPf7598tM+9noMmw5ubDa4uC9AzWZ31nQhTU9AVnd2ehKHIFE2dy0ulM6+4FJkjoaKMokiAhCRLIAkmrDMOpyzRfFnnwx2hiUjTjPPNIt+7NPfEg/8s6LnVshn6CbIqs9o0+SdvrvNLlxae+jq0Rj5bPYcb+zYdOxSrqyShXhRrsn/08tJUczSxqsepYA6Wq8IaPHGfPQJ6gJutMfc7DoejEImc+ZrJasWiamr4USrcMG2bTw5GjJyADAVNkakWDP7g9RV+cGGOkqk/9UQ0myO00/OmFnMvTJAkGV2RCZMUP0zJpITCkci+PQ4Y+8lUSDxpfK9Zmmj+tnQUFUxZwTIVLEU5VtMwmdOAyGnzrLkqz/L1h6WgVWFv73nsDj2xykszwjjl5sGIIEop6eqUpXkIsqqPWPX9I3G37SeEUYYiC7t14ahXaqILetD3cEPRD3Yy02r28a41hFtxrVHkx3e6fLA74EHPxY8ydnoObhhTMTQ6TsCbXvyFVlAnG8jXG0VkWaIzCo5E3Rn1ouhAa49DbD/lZ9s9Rn7MpadkWz3u5yWZeA/YfsTe0KfvRTRLBpIK544qP/72Xg8vjLhx4PCffvKAf/r9zYf1HDNC5yhJOBgGXF0uPzFBeXZKls7r63X2Bj4SOfe7LpcXyg/F01l2JtYHxPtpoeqdeeU1AUt3284jtvdv6zwHPt+ySdKMu90x7XGALsksVQ0uPOMVXGvo8z+uHxzVb6RszpV559xDfVBr6PPe9oCBF1Er6mfW9/zsfpe/vtshTXOqBZ2XVqrHXE6T1dl8SSdKFeI8R1Vk1hsWl+YeioPPsuIyVYW5ksY4TIjIUCJxUjnp4uq7ER/tjgjTlPPzJX79xYUpA3XazIKena5L2wnQFZl6UeWXLy/yzhkEm5MVWdsJsf1EJK/KOXO1IpvNIr8zA3omQuuJVX29UaBq6lNN0izoWa9bqLLMT+932e57DNyYRkmlYugsVk2iNOOzfZv7XZv3dwa0bcGWlS2dkqFyaaHML1+e5zeuLj3x8U+a1Id+PK00mKQiC/dSiizLZOTER5kv5YLKwIloDUNag4CCqRCnIn9nra7TKJrT38ulhTJJntEahnTdiHQs1j81Jzy13f2bcICfDfqbKxnTldbsis8OYn56v3/qmmrWuZOkGetOYWrnn6ROJ3lOciQ0T7JJ2ar4+oc7ogNtc670WBeRqsi8sdFgvmRwfqHET+91GTgRXTfkQddFliTGYULbjtgfetPS3c8zsw3kW12X1VoBWZaI4wwviomSjGZRZ71u0XdiOm7A9f0RfS/itdVnZ50mAGZn4GMHKeQZewP/KCrA5OW1BkGS8llrzDiI+au7XYIk4f/x61emQGaubFDQFZxxTNcJUJXqUxOUZ+ellSo3W2Putsfs9l2GfnxMPL1v+8fcWo+bz7Pymq0YmbW9f1vnOfD5ls2N/RE/vtNlf+BRtjRWa0WWamff+SZpxq22ze3WGCfMqBcNvnO+zrX12vTrW31n2ni+WDLPpO8JIlHoF0YJKvDLF+f4zuaj66AszxgHCTtdF9uNKeoq5+eKrDcL05PCaSuu1tBnfxiQ5RlplpGjcGj7SBLkuUhiNVT5KK8lm5Zs/o/rLewgRldk3jrXODPo2e977A5d/ChhsWLwxrkmv/3S0lNf58l97A992kfVEAVNYbki1lCT9dZJd9nEqj456J4EPUVTJc5zPtsdsDcIcP2YxarBfNnEUCQ6dsCNgyE3W2MOh4GI9JElNFXlpcUy/+StdV5cqlCyHs/eTVZZ1w9s9gceigzrjSJJliPlEn4oghIVGVZqFjlwOAoYujFe+NBJVSuqNIsWuipBnlMr6qzXCgx80Tv0N3c6qKo8XZE9rJSwjlU+fFNnwgqcZIEmwuaTa6paQTsmFj9+e/HvxglGLUlzNFnGixP2Bh6qKqOrMnRF6/oss3RyJuzPtZUqtw7H/Pn1FlGa0x8H3OsI9scNI7wo5bubjc9tfZ8wTSD0Zy8uVYnilL4bsdV18KIERS5ybq6AqSsc2MEXsrwvVS1eXBIt9j03IkkTOmOh85ov67y20UQG3t0e0LUD/uZuj9XGPv+3H5yfPr9mSWfgieyqycqoZCjMJii3ngBeNueL3O842F7Mz7d6/PDaypT1OcvqavpcnnHlNXn+33amZzLPgc+3aLY7Y/7uble4kmQ4V7f4/sW5Z3Jy3WrZ/OWNNgejgGpB5c1zNb57fm76x9QdhxwMwkcaz596v4dj7rQdqgWTi3NFfv/VlVO/L8tyum7A3tjHixPOVUpcXaxOTwLdccj+MDi24krSjO2e6DRqjXyyDNFELoluqCBJyfIcTVEoGMr0dn93p8OHOwMkSeLqcmW6djttJizTzsBj6ER03QA3zChqKq+siL6gpx3MWkN/CpxsLybNMlRJwtBVNpvFqZD5aZb6WdBj6gqmJuMGCTt9T+QqaRIVS2OxbGJqMj+73+PH93u0Rx66JiokNBnqRYPLCyV+cFmkcD8O9EwAz2SFczDy8eMMU5bRFJGl48cJaZ5TMERdQdcOKZrKkS08p1kyaBRFSep6o8ByxSSX4cbBmDttlwc9FztI8OOEPJdYKJsUdJWaZaDIArjWCsczVb7p8wgL5BQeAUCftcZUTIVLC2WuLFWO3W72ec7exyyTpGkyIy9k7CXsyy6qLMLuRn48TSA/jbWZXX+pigSfHLCjSAz9mM44IohHRHHK7tDj6lKV19frn5v9mbARB8MAU5WpWCo5OdtHfwsCKBdolnXR+fU5Le+zDi1z4LE3EOF+B4OMgRNSs3Te2Jxjd+AxChOcIOavbrd541ydNzYaxyzls6upiW5p4vza6rrT53Xy5y9XTJpFjZ2Bz8e7I1ZqBV5Zqx1za91tjf9eVl6Tx/B8ngOfb820hj7v7Qy40x7hBgmrdYt3Ls4/U6hgECX89a02W0MPRZZ4aaXGb7z48ISepBmf7A1pj8Wq4s2NxplEdEGU8PPtPnGaocky37345DDAti36jhRFZrlmsXaC7UmyDEWRpizQxzsDrh/Y2G6EF4t26VEY0yyrhElKluXIskJBV6haGuvNAkGU8P6DPmGcYWjCVvu4xzT5ubcPx+wOPZwwwvYSSobCRqPIO5fmnpqEPSkc7bsRYz8mkzKyHMqWyrlmaRrnP+lWu9dxkCUesdTPgp4ozUiDHNsTDrWxHyNJOZKsYOkKRV3mZ/d6/O3dLn03Rtc0SprMerPIhfkSzaJBo2ygqwpDP3qESZkFPJOOLnIo6SpkMZIsAuSKukKeQ0FTUSUhIK+YIlytZOiM/IiCrlItqqzXiiR5xv4gmIIoN0zRjpxMBU2jVtC5MF98RJAM/3AP7LMszgQA7Q493DBm6EV0xiLEcKFiPNWufpJJEi4wIQyPkoyDkUgN96LkTPqfX72yyGrV4ke32nz4YMjB0GXsx3yyb7NnB7TtkHEQi4uoz1k5MVcycMKEji0AzUZDrKc745DdgY8fpVxYLPH6ep0f3+0+tLwfrefOOhO9zwQsb3dzuo4PksTAi3GjmGvrDdw45WAUcDD0+S8f7nF1qYJ5xJLNrqYmguTJ/U7+9ra67qkMzFqjyJubDXZG+7THAX92o8V8xZiurnYHLrfaNpWCxitPSHCH01dez4XLZ5vnwOdbMBNdz4cPhvTdlEZB57WN+iNdVk+bH9/t8sHuEMeL2Jwr8ksXjp/QD4c+2z2POEupGmdbcQH89e02H+2OkPKcq+cqXF44HSRESUYO2G5IkkkUDOWYqHmW7VmpiBPApCssSjKCJKOoK4RxQtXUqFsa/pGbKAc2GgVxBVy12Ou52GFG0VC5OF/i6tIT2J6Rz6f7Nvd7Lg+6NsgKVUPlynKVH1ycOxMlPykc7bkhkgRKLvRX6/UCFxdKU8v6dk/of8ZhyIX58mNBjxclxGlOkKS0RyHkOYYuo0oyfhjTdQP+/EYLJ0zQFZmqpbJWN3lhqcbGXAlVFitAXVGomOojTEp3HHK/4xwDPKos3FamKmMZ4tCiSJIQJVeVafUCQJAITZUswyWlSC5DEGf03XCqByKHiqlTMaFkqJxrFlgoGSzWHh/a9g99jgGgZoFPdods9VxkOafnhtjBQ7v6csVksfYoYDmNSZpY5FVJJskyOu0AxxfOupGfsFILnuj+urhYoWhqLJQNfnTjkP1hwDgMcfyI3T7oqjQFE58H/KiKTElXaWXCIg4q5+dLLJSNo5TygL4b8fb5Bm+fb/Du/T5RlnH3cEzD0p5J83Py8XlRwsiPCKSE3WHKSsXkrY0mf3u/w8hN+PDBgD//rMXvv7p2TOR8UpA8u7ab1Eictlq6ulzl/d0BP+65XPdC/vpWkf/zd9Z5ba2KHyXYgVj710v6U9n42ZXXswikv+3zHPh8C+ZWy+Ynt3vs9V2KhsalxTJvbNSf6cpguzPmb+90COKMasHgnUtzU10PHLmu7ABdlchRuLxYfiJrM5n3t3v8j+uHuEFM46gc9bTb3WqJ5FXbj0hyCVXOqVmi1PNxbA8w7QoL4oSCoVA0VZI4Y7VRwAkTJGR0TWa9VuDaanXqCvr4YERRVzBVk19/QgfXZO3UGQc86NqMg4yCkbE+V+OXLjZ56wy29cl9tB3hsKoXDSxNoVHUp4nRIADWZ60xdhhTNQ1eWKhMV3ndcXgM9IhcFAnbj6lYKn4oikZHYch+36czDogzyBBrr1+7UuP1cw0yoO9E4vdsKVycL3JlqfII0zP0Q+wwJk1FXMFK3WS+rLN7pE2K04x6wTgm1J2dJM1wQrEWuO+5RElKtaALACXJx8pgZ5mmZz2gP8nRdVa319dxEpkFQC3bp2M/rLhIsowbByM+3BlyrlkQ2q7H6HVO6oG645BREE87urZ6Lpos03UCbF9UtkxA9mnutN95aRlNVfjx3S6tYYAkpcQJtAb+9Ps+b9/WSdYERGBj0VD58d0eAzfip/f6/MoL83zv0hx3D8fkOY8NEXzSzH6vIkncatkc2AGKlNOSJK4uV0X4oW8zDhL+5KMDlmsF3thoPJb1mdzvOEjoOSFemJz6OzF1lTfW6ny0PWIUxHy4M+B7Fxtszpexg4SfbQ8IkpSDQcBS5XQm7tjrNtMkvzv0WG8+3Rb/bZ/nwOcXfIIo4bPDMdsDDz/JONfU+P7Fp69eZidJMz49sOl5EboqcW21yvcvzD/CAOwPA4qmxuWyyeXFp99/ECV8ejCiOw6QJHhltcq11dqp33e/6zAOEgZ+jKaCpsqs1y0sU5me+E+yPSC6wlRFQpZgvmwyjmJWGxZ9N8QPE2pFoS1Zbxam4Ob6/oj3twfIssSVpRLn504/oM6une4cjnDCHF2Hc80qv35lnrfO6OB6b3vAVs9lHESs1Aus1CzWGwVMVZlegU/AUd8NqVga5+eLbC6U6Dqh6EI66tzyooSBE2GHwhp+aaFMluW0xxJt22N3GJAkGXNlkyhKMQ0hnP7e5QU0WabnhpiaPG0jLxiPHiJURZTujguCPVyuCnvyVsflQc8nyUSq9GvrtekK5WSGT8lSABh4Ed1xhKbIlIychaOyzEtq6ZnaqwEcPzr+npz8PP9hcSgSqJLEKIjpjMJjKc4np6grbM6XeGmpQvMIuJ0FzH+ZIxiG4lHchFhfbbUdPnFCgiTlbsdlHKSsN6zHMkCT+4EZK7mmotk+qiTRcyIeDIRoWeQMxZRM9dj7bzKmrvL6Wh1NkdkbuNxti0RiP0kZjiN+crdL1w35fphwdfnZc3dmWRMnTNgZ+GzOCX3bj262GUcJdzpjfu/lFRqWNg0RfJyu5iw/K81ET1rfDbGDBFNLGXkRV5aqtB2fg4FINf/Lm+3pyutxrE+SZli6Akj03YjdvnvqY3plrc73Lo75b5/ss9t3+R+fHvJ//+UiV1eqeJEoMp2AqrPodtbqBT5rjXHD+KgZ/jnr86T5hQI+//pf/2v+zb/5N8c+t7i4SKvV+poe0dc/Qy/moOcx9mOaJZ0Xl2tnAiWz8/HugJ9u9cjynEvzZf7g1ZVjVxTH6ynkY11ZT5vdno+uKNRKKr/24sJjD9pRJhxdUi6RZRJ5BoaqUDoKpjtN2zPpCus7EQMvomhqbDaKFDSZg6GPJMvIEmzOXCEFUcIHO4Opk+vS/OnM1WTtdPtwzMc7PZwoo6DLLNfL/PqLC7xzcf7pz/3Itt5zQ6I0Q1MUFsom640CSxVz+nNPipkvzBX57mZTOOi6LooiY6oKaSYyXuwwgTxHUyQURaLjCu3ATt8jTTKqJZPNeoGFqgkSmJoofbUM0VvVLOoUdQ1TUx5rfZ0N8kvSjA92B9zriiLRtUaBFxbLU+bgZIZPlOTMZ6ZIiC6YaLLySFryWd4/E9s8wE+3enywPcQJYgqGSpqJDq34yNad5TlpnmHqGnVDJUwzuk7EOIhI0wxZEmsa6WhdIzKGFO73XH5yr09Bk1muW7y8UuXKYvkrZ4JOrq+qRZ3bh2NGYUwu5WdmgGbvY1ZL1B2H9JyQz1ojOrbPfMWiUdRP1f/M6mTsIMYOY/I4I0gTRk5CuJfhBilulLDZKD2z6Pkk+NnquqzXLa6t1bixb7PXF3q6V9brKIp87Ptmb/8sP2tn4KNqMomXo6sKaSYY5QvNCiOnjxuJLKFfbS08wvrMOrnUo79FyKepzqdpfVRF5u3NBu896NGyI97fGfDGzoDvbDY51yxyaIvi3Y93h2w0CjRL5hNb3GsFjYqpMPQitnouLdt/5vqhb9P8QgEfgJdffpk//dM/nf5bUZSv8dF8vTMpIw3SjGpBZaNR5OUniHRPm63umJ/c6TFyhRbk6mr1WC3EZNp2SJxmz1RPMQkrlPKcl1fqzBWf8IdtaqiKRJgm2F6AaWiYpkLN0o6FFU7YngkYc4OYrhOKQsss5/JSiSSFkS9WQi8sVY6xXzcObO4dFaNeXCg9Vm+0O3D52Xafd+916LkRtaLGcq3Ib744zw+vne5Im8yEobrbFrb/gRujyRLLjQKNgo6pKcdAz4QRmnVwAcfs6qgyrVHA0I8hzymbKhVTY7fv8fHOkIORhyTlLFaLbFQtNuaLFHQBECQpxw0TvAjIIU1zlmvmma40u+OQO4dj7ve8KdPzwmJ5Gp54UvisKyo169Fizcn9zf7/tAmOGJquE/JZy+Z+26XvhdzrOoyDCHKJgiajqSJwUVEkdEUiTHL8MENVMzIrQ9VlJHLSTAQ/6opEyVKpFQwKukqWiyA9P4rpjgWL1Rr73DiwWSobXF2pcXW58sST0Wmv15cxqiJzdaXK+bkiQz9+LAP0uMqKyX3Maol2eh7XW0OCKMOLM3Z6LnYQ03fjU/U/E8DQd0JsNwEkDkc+URyTZzlFM+TjvRFhlE3XZ88ypzE/80WdfsXEDRM+3hsJDcwpIGn29meZparF5YUS+wMPx4s5HAVEaUoQJaw3i2z3XZyeR28c8aPrh8dYn4mTaxbgzFZcPKmO4uJihV+6uMD/9vEeeZ5zfX/EtZXqFFTd77p8ejCi50a8sFh5YkyDqYt8q844QlWlM6/Jvq3zCwd8VFVlaenJAWvfphm6whVi6gpXFsvPxPa0hj7/82aHW90xqgwvrlR561zjkT+mG/sj9kc+kDFXOptL7GRY4YvLlScCMksTFQVDL8aLc8oFmdWqNRUFKzNhhRPKuedEDP2YJMtF4m+zyFqtyO3DMRVLNLDPOie2O2Pee9AnJ6dsaryxUT/1MX28M+BvbrX5yd0OPS8my6FeMPjNqwv8/ol250de05GPE8ZsdVyGXszewEdXJYqGxkrVYnOuOL06nFjke25IURedYaeBHlMTV72T8tSyqdIoGYRJxqf7IzpuAIrEYtniQqPIarNAQVcpGSqqKtG2A7woRVfh8kJpKvB+2iRpxs3DEdtdb8r0XDyKL3h/e/CI8Hmlflzvc9aD8gTs3O8KENgaBQSxKKf144QkzXCDhCDMQM7RZA1FyrFMhbIperjCLCUpCNdgxRKdWmnJYODHhGkGOdQMjZIlwhxB9GQd2j6HdoCcpiRJRpgnHNqQSyOGXkT5yJ32tDlZi/FlnJBMXWVJV09lgM5aWXESAG21HXpeSN8X782WJKzxbpiAxLET+IThMFSZn9zr42oKsSpT1BUMRWLkROzrHkcxWV8Y/IDKYtnguhsxDgM+2R2xVLFOBT9nycKZfQ3ONYtcXixjBzG3D238QcrAFSvYzbki/SNt1I/vdXh1vcZvvbz8RIAzW3HxpGyfH15bpuuE3Ok43O043GjZvLHRYK1eYKfvY3sRfihYWHjysfXKUoVxkBxbkz3X+pw+v3DA5/bt26ysrGAYBu+88w5//Md/zIULFx77/WEYEobh9N+2bX8VD/MrmzTLyXJR3HhaseLjZhJEeLtlE8UZm80Sv/nCo1k0E9dUkmZULI35ytNzVM4aVjiZoRcD4PgJdhAjyxKrtSKX50u0RsEjYYUgNEfjIMaPE+oFg/mKybW1Gt1xSNsOUBSJckF7WKkw9PnpVp/WMMBUVV5dq3J1+dEDzXZnzE/udfnpVo+DkU9Gzmrd4ldfWOAfvfxkpmfiuup7ET0nIs2Fq6loqCyUjal7a/L6O1FydMDP2WgWeH298UjvlqnJ7PT9KSM0AT2GqnD/0CEIEyqGxkLF4q1zdQxNwYtSoiTFlWA4FIxY1VI53yxOBd5nmRv7I261RNDcZrPIfMmgNQw5dEaPBTzPCnZut8d8umvT832Gbnz0e01QZUkEIwKaItMsG2w2LXRVRVFkdFmiammoqowsyWiKjKEqGKp8pMEQfxuK7TN0IuIkJiPDCUOGB6IbLIxTmkWdC3MldE3B9iPcKEGRoGQoxGlKy46PtbSfNrIk03UUdvq+iEw4su0/q4bpcXOSATqZBTQK4qeyLsfE1COfOx2HJBEXD91xcFTUK/Q0JV2dAqmlqsVvXV1CUWR+er/HwAlZqpoUVJViQSOIc+53RWAffHHwo6syBU2mGyV8sjdkriQKRc/qqHrcLNUs3j7fwA4SDgYuB3ZIlqt0xiFXliu0Bh52K6bnRvzZjRYXl0psNsuPBTizmUFPamA3dZW3zzdpjyOCNOHde33mSwZLVdE7FyUpYfx0ET48BHCHdjit1Xiu9Tl9fqGAzzvvvMN//I//kStXrnB4eMgf/dEf8YMf/IBPP/2UZvP0E+u//bf/9hFd0C/KdMchh3ZA300wVNFD9Syz0/UZhwmGJnNt/dEV18TJFaUZqgwvLVfOtFe+cWCfKaxw8jN2+i6Hts/IDYniDFNXWW2aKIr8SFjh5Da7A480ywmilHpRp2pp1CyNGwc27XFIQZe5tFCeskM/3+5x+1C0LF9aLPHW5qPMVmvos9XzuNcZsz8KSHPhOvmVSwv88NrKEw8ws6nOYz+mVNAwJZXlikXJUI+BHnhob2+PAxbKFpcWywRJ8vDk8wTQU9BFi3nXi0gyaJY0/g+vrzJf0vlkf0zfDfHCGD8RKx5ZkjB1jUZJPzPo2e6MudmySdKMuZLBpcUSAy+a6nzqBeNzAR7Hj7jfc/l012Zn4DIOEqIkQ1UgzkTrukROlmdUTI2Fisl8uYCmyGJ1R06cZFiayGQC8b4PooRxGOKGEkYkHosfpfhxgkRO242w3ZgoSUgyiJMMRVHojEOKpo+mCMatqMoUdY0khUwBQ1EoF1WQJAz19LX6pIw1ShIOuz5ZO+eW4fDCcvlzMWCPm1kGaKLfudNx2Bv4BJFoe39cXs9kJrZsVZEpair7to8XxrTHwvVVL4i/pVntz0nBc9sOceIYK1PRVQk3yLjrjImSlO/xxcGPpsqQ5URZzrv3+wBT8PM0R9WTZpLsfDjyCdIBeZ5hRxFZmvHqWoO+F9OyA+52BBhfqz0Z4Jx15fXSSpXdgceP7/bY6rl81rKZK4lgzizPkXg6oziZk7UaT2OJvq3zCwV8fu/3fm/68SuvvML3v/99Ll68yH/4D/+Bf/Ev/sWpt/lX/+pfHfuabdusr6//vT/Wv++Z6HsOBgF+GFGxTLSjk/xZDgitkc/+yMPQZJYrBa6d0ozcHYfs9H2KpsZK2TxTGOJez+XPbxwy9iPKps6b5xtPPdne6whW6V7HEaF+hspGrUBrFEwF1ZMV1+SxH9rhVNDcKOnMlcT6oudExGmGrj7UIl3fH/GT+z3GfiIcJJuPWv2TVJS63us4bPd80jSlXjJ4dbXOD68tP5FSPg30VI9WMAtlYyrqnf3+ib1dV6FoqtPCzseBnmpBBPsVdBVLU3DDmCRJkSVYbVjUC8IBs9Ud86B3JASXQFZkVmsmSxUTXT3b+2OrO2Z34JPnUD/SdNlewv2Od6qj62kzESn/3b0uHzwYsj/wgJzoqKurYKgUdYUoydBliQvNAoYq3jNFQ0NThV5HknIalkaaZiiKTJKKRG7bDxn5EYdj8Z6w3fhI1K0gATm5yIjKJcI0p6DJKJqMpogMoiTJccOIQ9slSaFR0NholJgvGXhxRhynrM8XOT9X5KUVkfdkauqx5z4JEwySEWM/xoli7ndd9ocBBf1hxtGXEcg4OfHWLI2UjHttl64T8t728Kl5PZOZsD/LI5M7HYfuOGAcxGx1HKpF/RHtz6zgOYxz/DjFDRNGbo4fRrhJxsCL8ON0Gnr6LM9tFvxUCxUqpspe358GGQK8vtE4k6PqSa/bZOXlJQmf7A3ouQl3ew7fOTfHC0tlkgzCJOfd+11eXhX6wC+68lIVmVfXary/PcDzY262bL53hhiMx81ptRrP5/j8QgGfk1MsFnnllVe4ffv2Y7/HMAwM4+wCxX9IM3RFuV9OTsXUuLxYOtMVvXDiBPSdiDjPWW1YpwKB2ZTmszi5kjTjR7fa3DgYIUkSm3M6BV2hOw4fKxI9HPr0nAA7CAnSnCzLaBRFvsu9rkcQp8cE1ROQYQchQZSyUDZYrFos10yhD4pSdFWaAqEgSvjZgx5DV7BhlxbKp7JWqiJzr+3ws60eThBTLZi8sFTit68tPzGzZLaGYgJ6ippCmuZUyhplSz323CcW+QmgWV4sUzU1bF80cp8GetYaBZarFoosk2YZcZpxp+0QpjnNssFipchW3+Oz/RF3WmMkVSLLchRNZrFsslovkaYZpqY89Xf48c6Amy2bLBd9W6YmMwoSdoYehiqzUDGmjq6njeMLDdZnLZufb/W5fWiTZqDIEookXvOVmsWLSxUMTeF+xyFOc4qGynLVIpcyvCBl4EUoMhi5wsANUWSJcZgyDhK8MGYQxERRIqpJjkIdNUUhSzOaJYOqpROnOUgSGRkVU2exIiox+m7I7tDB9RMGfo4TpDwYBLTsgLKuEJOT5TI/2eoiSTKGknNursLrmzXe2GiwWDamrfLmYpH5ik5rGDIO4ykL5IxjBl40XYVNNEMlS5muxCbvwWcZU1enJZqHTvBMq6/Jz5uwPzuaSnvs01cf1f5M2J/J91ZNnf2hy+2Og5dkxFlOmCZ4ocTtwzFJlvHKav1MAGx2ZqstzjVLWLrCvbZ7LMV5uWLxNEfVk2ay8uo7EbdbYwZuxHbPZ6nicm6uTM+NORz63O+6/On1Q/6X11TB7swAnFl9zWmM0OS5zM5cyWBzvoi9O+RwFHK77Uy/JksS6Rkyp+CoFuOoVuP5uuvx8wsNfMIw5MaNG/zKr/zK1/1Qvpbxw4Qwziha4mrycXk0p812z2N/6AESivQo1XoypblmaY/eyYn5ZHfAR7sDZEnCUmWKhkLfjTFU5VTHQpJmtJ0QRYY8B3KxmqkXdJolg9ttF0kSAXrw0B4uQvxSLF2hYqlcmi8xVzL44MGAJMvQVGXaGH99f8RWx0NVJNYaBV7bqJ16kHh/u8d//XCPex0bXVF5canE//GN9SfG5U9Yos44PAZ6JCQsXSFNs2N28cmKrj0OybKU8/NlXlut0nGiqY7pJOg5N1fk/FwJjriLRsHg//vhHnfbDroqc221RsVSublv8/FunwwZ4pyFssFqvchGs/Sws+kJJ4gkzdjru9xs2Qy8mHpBY75iMPYTRl5MmGQPhdFPOJnNsjsf74xo2z5xktP3Q7woJYxTFioGVxYr1Ism9aJOzdJQZJla0aCoy5RNDT9MeXBUWKmrCpas4AcJfT8hSlIURToqo81QciiZGku6yCXKcmgUdObKJo2iTrUoVo41S5uuPicXCEma0XVD9voBH+30+GR3hIxHnEuMkxQ/SAmjiFGQEyWQAx/vOvz5Z/uUTJWyobFWL2FpCpquUNZUXlgVvW+qJDHyE4Z+NAVBth0erWjFie6W4bBYNWmWdBZKBqvNZ1sTTWIHJozTs66+Jt8zaVI/qf3RVRknTGmNHrI/cyWDq8tldK3Dhw+GeBE0TIMgSZElicNhQJIPpqDpWViZ2WoLQ1O5sFDkXhuiLONWS6Q4b84Vn7peetrzvbZW5bOWiEcIIhEy+MpKjdWqiRPGDNyI9x/0Wa5a/PDa8hMTnWcZoQc9EcJ6EpCZusorqzVutsZEccrHe0PmiiYlXSfKMvwkOzN7M1l32Xb4fN31mPmFAj7/8l/+S/7gD/6AjY0N2u02f/RHf4Rt2/zhH/7h1/3QvvK51bK513FIs4xGSWd97uzZOkma0bJ9xkFMydSRjz43e4KeABJTPVtKcxAlfLQ3IkpyirrC5YUyjaJJ3wk4P/f4ItOeE2Fo4uqcHHJJomSq9BwhcjU1hVpBpzXyeW97cHT1LyEhUy9rU+3PaQGHk8ye+AiA/MYLi6eyPbt9l7+93eN2a0SYSMyVVf7g9bWnFiSqisxu36M18lFkiaqhESUZJVOhZKjHHFwPR0JTJaoFg8vzZQxNZX9oM1nz32277A68aU/XRkNcTSqKzHxZZ2/o89mBzdiPWWsU2GwW+Pn2gJ/c79EZeTSKBnMVg+VKgfmywcurguE67fWfZORMTprtsVhvVUx1ut6603EwNJlL86VThdGzWTtDL+Z6y+bde11uH9okSU4uS6gyxHFK2dJ4ebnCxcUqhqpMV0DC3q+w1jDpjUN+/mDAbt+jaIisodWaSZxkHI4TsjylbGrMH5WYFnSFcZQQRIItW22YrJQtmid0R497/6mKzJquslSxeGuzzqd7I/76dptbhyOSVOiJ7NAgaTskWYafQZSB40HbS5BIuHHgo83IfzQJKgWVjWaB716c44fXVpCA1iAgRWiCDsc+Yz/GDkOyUc7uwMXSFF7yIq6esnZ+2vvwcauvharHpfmn2/JP0/7YQczIiwnilDBJGQVihTgBU6+s1CCHm4cjxn7GnKFSKRq4UcLIiXigec9cc6EqotripjsmTFPWawWaF0w+3h3RdQI+3B3x6nqVxYoxXS91n9HdNFl5/eDSAkmes9116IxDPtobcH6hQqOgM3Qj9oc+P9/uTVdeT0p0Xqpa7A7FxeTjCkWvLJZZKpvc67psdRwWKybzFZOdoTsN4zwriFNkCTdI2U3c5+uuU+YXCvjs7u7yT//pP6Xb7TI/P8/3vvc9fvzjH3Pu3Lmv+6F9pRNECbc7Di0nQJIkzs+VeGX12Q6WnXFImoOswKVTgM3Qi1FkmaWKfiaL/KR93dJVlsoGC0dpvwvlhynLJ6c7FixAa+hzMPbJEd1NKw2Tz1rj6ZptvqxzYPscDH0yMixdndqMJ9UVp5aXHoXuSUhcWiyd2r6epBl7A59P9vuMo5SiofHdC3O89pQCQRBamNbIR5KgWtCR5BxZFkzEbBXF9Pk6IT03JMtzlmsilXrSKj/yQpww4UHPR5JSXl6ts1qzCOJsqvu523Z4b3tAGGdomkyjqP3/2fvTIEny87wT/PntHnfemZVZd3Udjb6Axg3iIEGBokhJM1qNqFlSuxIkjbSUyYzG/bCj5dpopQ9DrcyGku2uiZJ2RzvUclakpNGMyBEvEAcJEGejG40+6ug68j7ijvD73g//iKi8M7K6ATS66zErayAz3cM9Itz9/T/v8z4P37jf4tWNLusdV6SjJwkXJiaZq5kHPIx2n/PwRjuMSRhNaSkyqgK9MKHtxxiqPAp23f8d2e75fHulzWbbJ81zLFOm58asdfwRu1MtapydKDJdMqlYOmVTo2DIKJJEDqy0XKI0J4wTJKDrx0SJaEtNFlQ+cGGa9bbH6/U+YZxQKZicqRV4Yq60RzOzu3B/VN0MwLPnJrg2X2bb9tnpRkL30nZZm3dZa9vsdAO2ewFOCBGjepUsgziHDAgAu5+w2e/z4oM+//6by0yUTJYmC/zotXk+dX2GIK6w3ROTiWGcsNXzR3EGXpSyVLOOdGk+CvtbX10vwgljyCRKhjJWG3y39me56bImubhhylZXfMaHMR1+lPJGZJPLElmWsVCxCJIU24t5gDva97jFz3TZ2FPYPHWmytX5Mq+u97hXF620K3Nlpoo6uqbghDFJekrWZ9DySrOcIEy413DZtgPKBY2FonB+7/kpd3fsPS2vo1gfVTk5UFRVZK4ulFnreARJTt+LmSgYbHRdmnZ0KvamZKnU7QA3SDDUbf7SB88/bnftwjuq8PmN3/iNH/QhvC2gKjJJktGxI/LB9Mu4poIAt7b61Ps+mixxYbJ4aIssSjIkabwR+SBKeGWjS5SkqLLMZMVAlqVRYXIU2yDaPj4vr7XpODG6LHNtrsy5apFvr3b2tNlubdnIskSS5mSZcCweMjuHsT3rbZcX7rchy6mY6pGePU075Auvb7Pc8tBUiUvTRX7kidkTHxLbXZ+VpkfHjchzMDQZGQWkdM8E2hAHBM2Gih+m7PRDel5E3Y4G4tCEuaqFlEsstzwkhNbGjWJeWO6w0XaRZFgoGaRpznd2OvT9CAUo6aLIeO+FKS7PFA/VJh3msjwcBVdVcMOEXBK9x92j6vvPZ6Vh89vf3eSV9R5pljJftZirWGKUPoqxdPkAuyNkxuBFKWmW4YUJTScijDP8JKGoayKl3VC4Nl9iYdLi9laPP7nXEg/UWoFPXJnmfRdF+3EcRudRYOoqF6bKLNUe6i6G4/f3Gi5furnFctuj5YhpMFWWyfKcrhfiBCk9P6DngZtBAqz2M9b7Hre3PF5e6fBb31nnk9dn+fSNeZ47VwOEdcDrW32CJOXOTp9XN3pjuTTvx7D1td3zeXmtS9MJedByQc7HYn7gIfszRNuNWG46PKg7JGnKQu2hgHdkz5BlrDRd7DAFQqYGGrtHKX7262bWOv7IEmI5StjpBSxULS7PlmjYEbaf0LTDR3KQ/jCw0fHYsSPcIKFpx8wUDabLJm7o0fXiPS2vY1mfEwJFVUXm+nyFb9xr0XIjmm7IUk24n6dpfCqdz2xRx1Bl1tyQr95vMVs1+PEnj7fbeDfhHVX4PMZDFHUFSZaQUIjSfOxpriBKWG27eIHQbZRN9cBDfhgYKss5tYJ+4j6bTshKwyNJc3QpxwsS0iznyfnqkQXZds9nre1xc6tLw46RZJmlyQIfvDxFmGZ7wlCdMMWLUqqWStvN8cMETTua7QH47nqXta4PUs7TR3j2JGnGnbrN3Ybou5ctnecvT/H0IXli+7fb6vnCUC6IuTBdHLhSSyS5cqDY2+76fP1ea2RAuDBX5uyERceNiZKUthvhR+I9Ew+VAmnGYLxYQ5YkXl7tstJwCLOMxbLB7ESBWxs9nEBoqJ5YKDBdNHjPolgdH/aA2e76vLbVE7YHu1yWawXBnq113ANGh4c9dF9Z7/DHr9d5dbtLnOaYmkzRUJGlHEOReXKxhoLM0lSRMzWTgq6w2fFZabsYukLZ0MRr1wyKhoa/y5NFVyVAtBDv7Nj0vUhMaOkqHzg/yQevnJyP9lZh93mXLHEdPHtOF9M/g4dUkmWYmkoQJ6iyTJAktJ2Y331lg99+eZ2tbkyYigIoyGHTTnGjLk07YKvr81PPLPLe81M8fXaCiZLOetPj1a3eqVyaDzvu4ed/e8dmo+Nzv+5CJh3rDrwfo6Imz5FlkXJe7wsbht1Bpbu/aytNl66fIMshEwVx7dtezP3MJsnzA39/FA4NNJ0UC4CGHXGv4bBQMylbKo1+yN0BE3TaUfr5qsWHL0+z1nJ4o+EQRDH3mw7TJZ2Josp2LzzQ8jqK9RnubxgoepjJ4HTJYKpk4McJUSym5ExVJUM6lc7n/EyZ5y9Mstb2CeOUFx50uTJbPlVG4zsZjwufdyjcKCXJcuQ8x9RPntYZQlVk6k6En2YYmsJE0dhTNA0DQ91QpJ2fZFiYpBnrXY+CodD3c1BkciRMVWFhwjx02+2u0OvcrfdZawnhcdFQ+di1WeYrFnfr7igM9eJ0kZtbfcIkRZHEvrwkpZoL357D2J5X1ju8ut5HUmCxUuTZsxOHHkfTCfnuWoeWE2DqKtfnynz6+txY72XdFq0pU5OZLptMlQwsXRHBj/tyzl5e73B7x4Y85caZGmcnC7SdmLsNByeIcaOEJM+Zr5hcnilSKei07BBJUpiwdL6z1uG7612QJOaKGpMVi5WWixunmJrKRFHnAxem9mRoHfo5dbwDQuUky1hveWy4IT0vQVPkY40ON1ouv//aFssNjyzNuDRd4tp8mWrRGPnpREnO+akCcxWTvhdzt+dT7wfEaY6S5MzNGlyYKJLLsNEWLRlFlmjYAW07oh/GOEGCrMgYusrTEwWemC/zqRsLJ34u3w8c9r4Mf1ZCZ7oMl2bLfOzqHN+81+Rbyw3e2Hao2ykx4IXQtAP+5G6TphMTJRnPnp0YhZWe5NI8bgE0/B4EUTposwZs9/xHyrpyg4Qkt4njjFubPRp2QD9IRs7ow79zwoTNtocbyRT1lIqp4voxd7ZsNlo+bpDs+ftxXntY/ESpzERBx/ETGnbISytdLs+VSLPskRyd4aHe52NX5wQ713LpuhEFXWO6bBGnOV0v4V7d4fOv7fATT8uD4uZgjtdwf8cVRqoii1Zq36PhhCiKTbWg4QQpfnS6Ka1PXptjpx/wjftt6o7PrW37SD3fuw2PC593IJI0w49TdEVCkiTKp8jmStIMU1UoKDKpLGEoe8MYVUXGiTKQYKKgD1Kjj0bTDtnqhFQLOmk2WLUrR5sdDh2jX1pvc3NNTFVMlQu8/8IEP/X0Ag+a3oEw1KE3z2RBI0FMjxTNw8NLt3s+L9xv40UxRUPlA5cmjywEVpoud3f6gMRcRefjg8LrJDSdkKYTkuQ5c6UCV2ZKo8DO/Ted9Y7L7a0+ThQzXzZZrFn0/Ji2G+FEMdu9AAmoFXQmihq5JBElGQuDUfKdXsD9hi1CNVU4O1Wk6Ubs9ENkcgq6wuWpEtMl/diiZ3fe2VCovN0Xho1tNxKRDpbObFU/Nrj1Gytt1loBUZJybqrMjYUKpi6TZTkFTbhDz5QEO/LyRpetboCpKRQNEbI4VTZQJYXXt/sjgS8IEX3PT5AlCUNVKVU0Jkoazy5NcG6yMGJcfligKjLvvzDFU2eq/Ln3LfE/fWuFP7y1Q73jkQijddpOyCurbTpOyPMXJvjE1VmeOz91rEvzZjcYfEbjta2G34d7dQc/Tt9U0GfJUFlpO6y1/JFZatlSRyzDfNXiyYUqYZqx3hLtqYKhULY06EDDiXhjpz9aqI1ToAxf++W1Hl0/pqCJ79B622O773N2ssDZCYu1jo+iyI+s93lirsxO12ez4+LHElGc8r6rs9zRFO40bII44cW1NpIi8WeePrOnFbf/PT2uHaYqMhdninzxtkTPC3HDhKvTRZIsY7sfYhkuTy+Np/NRFZlPXJ1lq+PT9CNubvR56kz11KzXOxGPC593IERxISNLIqBxnCyh3duauoKiyMjIyPu2vbPdx/FjirrMpWP8a0A8CG9u9dju+aRkGKqCpgqfiaPMDpt2yHrTY6vr0XAjiobK4oTJj92Yo2TqtJzunjDUYYSBrkrivOWcM1WTC5NFWvvYnpql8YVbO6MW13vOVI5tW91tONRtwTZcmC7x7LnDmaH957zSHHj2GAoXJ/fe1HZjve3y0kqXfpBQ1sSkVBBnBHGKE8T0nRjIKRkqCzWLsqkSJjlplrE0aXF3x+XVTRsnTJkoqsyVhJv1VscjTVMKps7iRIGl6eKhuiJ4qOmp2z6KLI/yzt7YsUd+PUVDG428H8cmfOH1bV580II84/x0kWfOVinoGj0vZqqocHm2NDhvnx0noOeJQmaioPO+8xPCWXunz+2tHnYQM/gGUjI05qomtShBl+HidIlLM2JfpwncfTvC1FWWdJW/9amrlAs6X7rVYKPt4IXJILYkZrnp0LAD7mz3+c/fF/GhS1PCpXlfyvpm338kwfJ+5uQor5lx9qHIEk07YrsXoDRdpismqvxwIkxkUHnYXkzLjqgVdM7ULMIkZasX0PFjVlsuFUMbm9nY7aETphlXZsvESY4dxrSckOfOTWDoKlvdgI4XUbPiU4XLJmlGyVSZqViUTB1dyyjoMrkkcXWhiqWpfGO1xWbXR1vrcm22wocuT5FkpT3v6bCYO4n1ma9YaLJMPxCBw72yQc+LkGWJIDplFEfV4qmzNb58p0FjEOx7WvPIdyJ+uO8aj3EomnZI240IwgyjePp0+mygCZIVaY++IogS7tZt/DjF1OSx2lzb/ZB+EBMnGVVTI8szpsuHr+SG2pg4zXH8ZCDIVfjolWluLFRHU15DA8LdJoqmLlPQM3JyDF1lpqKzNbixDNmeOzs2L6/1TmxxAbyy0eW7612COGa6bPL8xanx2B475Na2jRenzFVMLswcbiMwFDMvt1yKuiI8X0wVP07xooQ4FqxayVCpFjTKpko/SDE0mdmyRZrlvLLZoWH71EyVyaKBZcjc3e4TpBm6KowRr81VmCkbh4rI19sudxvOiNGZKipcnikRRskev57jRt6H+P1XN/jczR28MGGhZvHpJ+e4MlNhre0xWRA+UkGS8N31hyzPRMFgdl7nwmRJaDbSDFVSKBk6qiQiInbnWg2/Iz/sxc5hMHWVP/PUImGU8pU0Y7vnEUQxsiKTZAlOCPebHr/+tft85W6Tp5aqvP/cBOdnynsmrfYLlofv7UnYzZystrxTtZx27yNNM7Z7BdIso+MnvHi/tce3ZrpscHayQNcPedDw6HoRZ2sFPn5tllfW+txr2LSciM2+z8IRwZ77sb+QSNKcy7MlXt/qsdxyubPT5+pchfW2mIx70HBOpWVSFRlTFZYKixMmG20fS1fp+iEzZYv5CYsLjsXtbZf1tsuLq02WJsyRxmm3p1DN0jB19VjWB6BsqmgyqKoQxzthQkLO0tTpWlWqIvOeM1VeeNCm5Ubc2urxI1dmHhc+P+gDeIy3Fkma0fPFqk+WcwxNGL6dZvsozZBliYx8T6ur68X0gxRNkbgwVTyxEFAVwRhpihDmqapM2VJYmjx6xdH1Yu63XNwooWJpLE4UeXbAygzbVkMDwpYdjkwUEy8lijJ0XebJ+SpSxh62p6QrfH6jS9cPMTXlyBYXiILgtY0em20HJJkJS+PZpcONDfe/d69udlnviKiPSzPFQ1eWu4se8pxKQWOyYKCrCl6U0HEi+mGCLIkbYMXUCNN8NDquqhIvrnTwghRdUSgZEqomc7/p0vZjTE2lVlC5OFUaGTgeNkV2r+4QxCmGojBXMZgfpJKv7YqjOGrkfTe+tdzkj243aPUDKqbGhy5M8eFLM4BIJQfBFH5nrUvHi9AVecDy7I21UBWZs5MFypZCSdcOdSw+zQ07iJIfqiJpvmbxZ59bIk4zXlyBej8kJYcsR1MkYjJ2nIi+3+FeXTBjH708w4cvTwvmaJ9g+ZW1Hltdn49cnhmrbTT0mun50SgrbrdIeRycnynTDxLSHF7daHO/FdL1I2ZL1ojVGLI+tUJM143Z6nks1CY5O2nR8UJ27AAvjE/lvDwsJPpBAnLOXMng6/cT+kHCSytdzk0UUGSE71CUHJmWftz+p0s6Z6olun6CE6Xc3OiRzGXMVgtMFU1UxcMLE779oI2hKHzkSsKNM9URG3W34ZCSjdqQx7E+AIokMVHUsVQFWQZyCQVOxfjAQ8H0g4bNKxsx31xu8Ymrc2Nv/07ED89d4THGgqrIVC2dqqUzWzFZnLI4P334yPhR25u6gqEpmJpOrSi0E0M2xlBlioZIOj9pn8O2WBDGkEvoKlybPXqSCyCME1puQJ6CYalcmy+zOFkU2WH72lY3t/ooMgRhiiKBrgnx8ExVZ6u/l+3p+jHLDZc0g9mywY35g549w/Pc7gW8uNxkqxcwU9Z45uzkYCrreCRpxk4/JM1zNFni7MTB930YSXG/4SBLUCtqlA0dSxdFT9eL6frxqOgZho6mGcxVRHDhaxs9bm/1MTWF89MFdFXmXt1mpx+iSFAxFc5NlJipmkeOzg+ZgemSPvIkWm/7tNwARZZZqFmcnbBOfOgtN21euN+m60VYpsbzF6b4sSfnR78fMoWvb4pVL+Q8uVjh8iDjaD+G49aPuiIdjpXfrTt0vYjZisnVIz7rtyOWJov8pQ9e4NxEiS/f3Wa56RMkKQVNQVFykhScKCV0U+7XXeq2mFh6+myVD12afSg2DmPu14Un1HLDHTENx0FV5JHPT8sNqPeDAyLlcfD02QlhHBnE1PstNnoB37jfYGlSxFoMWZ80y2k7IZMlkyTLma+abHZNsjyn3g/RFBGVMU7LS1VkLkyL1lJOhibJTJd1+kFC3fHp+jELVWsU/XLaOIuhyPnWtk1J12jZIaGU8a3lFs8tZUyVhD7vlbUudxsOiiJRsnQmSjpLEwV6QXxgeu441qfuBLTdmMmKQbGok2bgxQm6Ip362lAVmXPTFt+4D14Q852VLu87O/FDp4t7K/G48HkHYrpssFgroKsSZ2qFU3n4AHSckCTPsDQhaB2iO3BpnS+YJ+5zOP1l+zFbdsB8rUiOdOQk1wiShBcmpGlKWTM5P13a48pcK+qjtk3LiVAViYKpYCgKsiRE06by0O14WCR95W5jIPiWuTZfOfIYmnbIy6tdHjS9QbSEGE8ehzno+jFpmjNb1rkyWz4032ylJZgWOwy5MFXiTK2AG4qpGl2WccOYOM0oGgrVQejo0OVZyuH17T4PGjZ+nKGqULU0Wm7IRtslTVOmyyZnJ0qcmSgc6pO03fW5vWPTciM0RWaqaJKm2R6h8YWp4qEGi/ux3fX5o9t17jccirrG9cUyn3l64cB7+7V7TV7ftpHznA9fnub5c8cH057mxj4cGwfhP/XKRo/1toMfpZyZENYF5yYPmiu+nTFftfjp9y5ydrLA//zyGltdD9uPMRQNRc6YqeokMfSCmJYXcGvb5vM3t/j09R5/9eOXuOhVcQABAABJREFUH35uuUTHE2n3aZ5xbb56orZlWHhutF2+tdym48W8utEbPMDHZ0guz1WwB9NVKy2HBy2PP3htm8+8Z56lySIXBjErJUsRrV5Do1bQOFMTwcP9IBaF0xHBnodhyC72/QRVinhmqUajF5JmGXfqDp94YoYkKz1ynMV02eA9ZyrC3ypN2Oj4hHHO7brD8+cnmS0ZGLpEHsls9yK2Oh5bnYD3np/gWlbeMz03HEsfsj67c7WCOBH3QKDnxkRRKnyuJAlFkk/txKwqMs8sTvCH1jY7TkbPjx+3un7QB/AYbz3ubPfZ6vnIcj4K4xwXr653ubnZI45zdE0d6XiSNBuZFg6zsY6DqshYhkacZYLtGaM91rRDGv0A14+RVJmCqVHQZFbaLjv9gCzPmSuZI1FzmGToiowmKwMXaYMn5sqj8fZhajuItpeuKZR1letHFD5CTJrQDyJcP0JVVc5NFnnqBN+e4bavbnTxogTLVHjqzEFGrGmL8MF+GFM1Da7OlVEVFUkKcaOYrhfR8SPmShamLjK9hi7P81WL76x2WG67OGHKVFmnpCv0vZiv39vBDnNqpspcxUJVJLw44cLUXnYtiJLRyLqmyFycKVDUFR60Pbq7hMaXZ0snPmiSNOOF5RY3txySLOfaXJkfvzZ34Ib8nZUWX3mjQRSnzFUtrsyXRizQoxYju6M0trpi3L1pB9xvOLT8kDASQno/SKgV9Le06AkiITr+Xq+WVUXm+UtTGLrCa+tdXllvs2NHOEGCGavMT5iU/Ji7DZdG36NjQ8dN6HoRP/fRS3vaXre2+jTsACdI+PST82OxJ8OW1ZfuNLADn1ubfeYrpxPFPndBOB9/7tY29Z7PvbrD16wWH1fk0fdSliTCKB2xfMNCoFbQiZMMkE41aabIICGR5ClPTFWYLBs0nJC1lktyaerIMNFxsNs4sVY0+PLtHdqecO8Oo5Sposn5ySLrnYCCKePGIrz37FRhz/ScokgEA+3k7lytrhcBYGoqFyaLtJ0IJIkgSZgqGvhxSppnjxQ8Ol0yuLpQJd7soMkSTSdkafLd+/h/9575OxSn9dnZv+1q2x2EB8JizRit8k5rWqgqMlfnStzZ7HF2skTVVLl+5mimZTjB0rRDemGMKombY1HXWO34GJpCraByYWbgPZKkVC0NS5eBiChNRi7Sw/H24eTXnZ0+bTukqMs8fbZ65I1OPJBTbm32SJCoWgofvjI91vu33fN5Za2LHaVctkqj1efe80swVZm5islCzWSyZOKGKVmW0/dFm0uEZxoEcYqsSHuyxl7f7LHScCkaCqYskaY5X1uts9oSYZHzZYOyqWLp6gGfpKYdcnfH5kHLHWVrVQsq9b5IsZ8qGkyVtbHEsEma8epal1tbffJMjNZ/6MrkgbZYECVsDKIMQGQRqbLMH7/RwA9jnpirjN2G2l/sDKM04iTFCxPabkyOREHXmCkoLE1ZPLVQ46ml2lj7PwpBlBDEon12v+HxreUWcZLy1GKV91+YAoYxHvL3ZBX91FKNK7Mlrs1X+J1XNsgaucjF8mIKuspUUcUNdNpeRNP2+f3Xt2nYHn/3M0+OxMarLYd6P2Kt47HSdLg8N957/sRcmbt1m41uwHLLZbvvn4r1AXj+0hSKKvHFW3U2Oz736zYXp0rULA07iLnXcKhZBkuD4mDY/kmyjK4fkebjJ60LjViRNBPtLidMOTthUe8FtNyI+02HJ8/U9mhrTltEzNdE1E6lG7DesXE3EuGv0w9ZqOk8d3aKJG9S0HXcMCHY5b2zNFnEDhJ27IAoyUYLSkWWRCTMAKau8mNPzlN3QrIsxwkSFieKbPRc6k7ETDk61WcwfG9myia6quLF4pjezdNdjwufdxhURSbKIMvzsXx29m/rJzmaJjGlGyNR66MWU6okUzBUJFni0kzp2GNRFRk/SLnfsgmjjFrV5KlzwvMjyTKqBY33nZsY3fiiJBO+QLKEqSmjgqy1b/IriBJeWu1gRyklUz6S7YFBRpUd0nQDQKKoKlyZPTncNUkzXtvs0XIjcklocfZvoyrCyyZIUsqGyhPTZYI4peEENOwQP0zx4pilSYszNYs0gyTPRozVctthyw5wgpiKqeLLOX4UsdbyAQlD11iaLFAp6OR5vscnKUkz7jb63G+6xGnGbMWgF0SstByyXEReDFmlk851u+dzb9vmTr2Prsqcmyzw4cvTvPfc1KGfqWVoXJ4p4/ghW12f1zd75MBUyaBk+GO1obZ7Puttn44Xjoqdh1EawuG5XBCj7ucmijwxL763b4ZRCiKRz/T5m9u8utGl54rUdFWRMAyNbzxo8RvfWqFi6izUCjy1VOHqbJnF74FBnKmrI/bk87e2WW3ZuL5gngqGzpU5hYYdstHx6TgB31qBf/G52/ztT1/j/EyZ9wcJ33zQpuWG/PEbdWw/4bkLk2O97rX5Cm03RlUltjrBqVkfgKcWa7hhwueDOm0n5H7D5qnFCmmeE0YZrdTnzo49Kmx2sz6KJOGHCV6cjtWa2t3uWss8Ls4U+c5qFydMeWmly6Xp0h4hdJKno23HFQ1PlwxWmh6aopJkYvrSi2IsXbSjZ0oGcSocl9OMEZOTpBlBnOFHCW6Y7mnT7sfVuTLXFyqstHxycrJM/Ot5sXjNR8D5qQLfXM5F4Opah/eeH1+39U7D48LnHYiaqdG1xIjzadC0Q5p2QJ7lzFSNkb7ntKaF8FAMbekqZUs7UQydpBn9MKZhhyRZjqHCYsVioxuOtDrDoidJM/p+jBcltL0IXVHQNVGQ1fvhoM0lJr+6fky9FwKMJkuOO/9XNrr0/YScnIVagaVa4cRz3R7EU6TkzBbMQ4urJM3ouBE9L0KRBQ3e8xJaToAXphiqzNlakWszZYqGSs+PmS0ZYtKm7XJn28YNEiaKOhVLI0tzbrccFFnC0lWeOVPm7GSZsqVypmzu8Ulq2iH1XkSS5SMNwWrTI0wyliaskej0xPPs+nzlbp2WE5FmGXMVk2tzlSMfoqoiM1XQub/T537LFQnpls5syaRiCm+ik4qT9bbLt5ZbbPd8ZElmsmiIYscSye37g0jfTFtLuIy7fPN+m++udlhru7TciJ6fECeJmKozNSAmBzpegq4ENN2Q5bZD1dJ46kyVTzwxd6r8rHHx/CVRXH79vsob9R4tN0FTwBgYQ0pZxlovpOMEfHW5Q/aF2/zcxy5y40yVjhfhriWsNH28oAESYw0oXJ2vYAeCuTtta2gIVZG5MFmkZqo4fsxm32e77zNV1CkZKus9j5WWS3ng3bNb9NvxYqIsQZPksfU+u6e3Zss6s1UDp+FRd/xBi6e4Rwjd9YTZYtcPqVnGWB4/igx+mGL7MUmaM11MuTBVZK3toSoybhyjKhqGqlCyHlqKdL2IjhujynsDR2VJ3lPQmLrK+y9MEsQNJCSiodSAfOzMrt1QFZmZko6l6uzENq9sdnl1rTtWAfxOxOPC5x2K/caDJ2EovN3q+GRAwXzYKnl9ozu2aeFuPGw5GWMJrLtuRJqBpsmCrUmyPVqd3W2bzW5AyxETJ2cmLBFHUTS4tWmP2lxDUXOa5RQNhfeerx35YBye/2sbPeI8p2rqXD/CZHH/dkGSUTRUZgoGNxYrhz4Yhv4+O3bIhKXTc2O8OMPUFNI8JydntmJStFR6XgwSFAyVjZYQmTb6IRVT4/x0kSTJWGk49PyEiqVyplbg+QvTQvwoSyNH6+HxDW0AqgUNpJzVpkfPi6gW9LHze5I045XNDm9sO+R5zlNLNZ5dqh459RVECV+71+Qb91vU+z65BJIsM1vS+fEn53hi7mTB+LDoWWl6AMyUNC5OF0dGivDWBZFu93w+99oW33zQoN7xiJCQZRlLV7A0mRyNmbLF+y9OMl2yuLXVZ6PjYgymbLwopdGL+XbUwfUzbiyVOVstsDj11rrkDosfWZa4udWhYScEUYCnqZydLoEMK+0Q2w/4yr0mq12XH79xho9cmeKKX+L1uEec5by01hWFb8069hiH00w7/VBkY9WdU+tLAOZqFvM1i/WeT9+L2O6GLE1aTJXE4qTlRKwP9DBD1qcXxDhhQhBmRORMFqUTW16qIo+mtxRFIpekkcg5z4QAfr5q7WGG7u7YKLJEP4zpGPGJU4VDrU+toGOoCkma0HYT7u70qRUMKqbBdl+YJdadgEszRZp2OBKONx3BXIqpyuHPlNHPhud2da7Casuj6QT0g5iFagE3Sk6V2bUbi5NFztQsXt/sEqUBr231uH6m8kMl/H+r8O4748c4EnaQ4EUxqixztlZgvmKNTAtP2+babzY4DoyBmLrgy1yeK+FHwsV4qNWBhw/yKEnp+TEVS0NXRWHU9eI9r7ndF7obL0k5Xylwabp07OunGfixyKOqFTSePXt0oTTEsIWlKTKTJZ1L0wdbYyKGwyWIUyqWxtkpS9yU4xzbj+m5MbkEXV843qaZcGtWFYm1jsf9pkPPj7k8W+TiVIG1dsCm7ZMhgSQzVTToeKIdsT/4dXcUheOLUXl7UPR88MIUz50fb8WXpBmbnZA0FzEEz5ytcv6QgilJM25t9Xlhucl317qkGSBLnKsWuL5Y5rnFibGKgfW2y9fvN1lv+wCcny7wgQtT3xNdwnrb5X/82n2+dHObHTtClmGiaPD0Uk1MoZ2fYGrAnpZM8f3/9PWHOotuEPMnbzR4fauPIuX0goiv3GkyUVB5/tzUW/5wGRY/GRClbXZ6KVESUdJU3rM4SUGzWe0GOH7E/Z2c/755lz+6s82PXJnjQ5cn2eyGo5T35abDk1507Lj6kIG5udXjphtSNNVTjbcPcXG2yErTwwljbtd7LE1aI++e5bawHxi2s4YhpEGUkuc5kNNyQ8L0cM+b3ZivWXS8iJYT4oUJT8yWeaPusNnxuddwuH6mwnzFGjFDrhxjGSq2n+CEyVis1nAkv2TINPopSRpwa8vmyUUJUxXTV103YrPjsTlRwIkSrksVFqoWa21/j3fPYT8bnttcxcQOEiqWhCrJRN0UO0hOPZE2RK2oE2UJYaiw1fNPte07CY8Ln3cg0iw/VUzFbuiahCWrI/+erhez2QvwooTFCWvsNtdKy91jNjjOBZqTM1kwUCQJQ1Nou+GBKbIh22MHMVkOZUvb4+vjRQmWoTBT1rm13aduh8iKxOLE8Q9MVZGpWCqSBFVL59JMketjCG+HbbeOG6IpCr0gOqAVaDohjX6IrkpcrZZ5dqlKw4nJyHEjmbWuS8sNmSqZSDnMVgwuTBdRJZk7WzYdVxQq0yWTXpCw3fdoOiGKAhOmSE4Xtvr6HkHzdldM0igyZHGOGyWkaTYqeoYP0HHwxo5N14swNIn3LFQPFblu93xefNAetAsjcknCMhSePVvlE1dmmauNV7QsN20xJl93MVSZG4uVQcjqW58xtNy0+edfvM2Xbu/QcxD6o7LKM2dr/JcfuMhTS4eHse6e6ipZOv+b5y0+1HXZ7oTcrvfY6gSstQPWuhtc3OjwvrOTPDFffstE0M9fmkJRhDnoH9/aIkgUDE3i+fNTXF+o8Z3VJi+v9Ni2A7IUXo363Nm0eXKpyrNnJ3lqqcr9ukMQZ9ze7u/J1NoPVZFZqJjcq9sEccbrW/1Tj7erimjlXpn3eFB38cKE7V7IfNVkrW3QdqODrM+uSSgnTNjoeKRZhqFIx7a8kjTD0hVAou6ETJYMrs+VWWt5BHHKzcGE2pAZ0jUFSRJu8WmWjy14VmSJM7Uym52AIMm537A5P2VRKZjMVUzuNmw6bsjL612uL1Qoah5PL1UPePcc5eczZK/W2j55nhGmGaoMLSd8pLZjkmb4UYqEjB/Fg4Ly3YnHhc87DEOmxdSUsaavdqPnx0RpzoSuULN0kjRjreuSpzllS+H81PGMyRB3tvu8utE7lIE4DmmW44YJTpCw3vSZqYoppeF5DHVDfpRgh0LkO2R7VEXmfsOlbgcsKqIQelB3CZOMKUM/VtQ83PfX7jWE3kaBy7Pjm949aLisdTyqhg7Z3oIzSTPW2yJpOctzLk4VKZo6DSemYmrc2uyz2nJIMpgqmUDOVFGM7H9nvUPDCUWcRElHUSQa/ZD7Oz1AwlBlZgaTXLoqHRA0r3c8Wm6EKoOlyViagiZLvPfs5Kl6+xstl28+aBLEKRMF7dDpvO2uzx/d2eFBwyWIMzRd5bmFAs8u1Xhq6eSMs+Exv7re5ZvLLd7YdtBVmcWKwXvPTbzpomc4hj6cpFEVmdc2evybb63wpVs7OJ7QbUyXVZ48U+Gjl2e5MFMam6lRFZkLU2WWakUuzBT3FIC3txzuNV3mSyZPLJR4cq4qwljfZBH03PlJyqZKECV8e7WNE6Skac5Hr0xh6TKKrHB7q8t628MJMmQJvvWgzeubfZ7brvKnnlwkTjKyXJhXSjlHti4Xp4o86UW8sNLBCSIa/ejUQuf5msUHLkzhBRn9MMQOYp5arIxYn/tNZzS1N3J53hWloaoyQgZzfMtLVeRBqG1MmApR9I2FMhMFjZWWzysbPW6cGVwrEmx1A9Iso2xqyLK0R/B8HKZKOhdniqy2Her9ED9JqbsRS5Nlzk8WabrCmyuKU3puxKYqc9YvHOrYfJSL83DcvesJQ0NVliHLqJnqaCT+NOa0liYTxQlhktN4zPg8xjsBw8JgyHqMy7QMt23YAVkGmiyPtl1tinybSvH4qIkh9uR5IZ9sWDhA0xZTP7afIEkSYZYxVTSYKOmjY0nSTOiGspQ4AdWUKWgK0yWDna4IaJSkHFMT0xZxKsIEp0ona4yWWw7fWethhxHTJZPrY5oWbvd81jsusiRRLqgH3vOmHfLaZp+dXsBC1UTXZJabDk0noqBJ7PQD2k6MpkoUNJVq0WCypNP14odsT1FnrmzihykbbZedfkieZsxVLOaqBSaKOjMl/YCgeeh0rasKfiQS68+UTZ46WzvxvIZI0oy1nkfHS8jznPOHeDElaca3V1vcr7s4YcylmeKpWzzLLZvbGzYvb3Txo1R8f6smH7k0PZYG6Ti8ut7ly3fqbPcDsixDlmWiKMGNhAmdpqoUrITzE0X+s+fP8qlrs488nTV8GH/m6QXOTRd5aaXN3bpNGCc8aLms9zy+ca/NdMng8lyRJ+eqYzNhh+HyXIWPXYnY7IlpxG+utLk8V+Yjl2coDFyPV1su9xp91tsBbghemPDCgy5yLvGXP3SRLIetrs92z8eLsyMDhG+cqfL6ts1WN2K5PX5K+G7MVy3mqiZJNx29X0sTBV7b7OMEEettibM1a8++h947lq7gJzFpktO0A7ZM/UhmZrpsMFcxWG2LAN6FmslCzeLOjk3oJNzatJmviGEHJ0xIUsGSh7EQDne944NMVUWmaKicnRAtdNtPiMOYvpugybA4WaBp+7T9hOmyIYKILTFGfmOhPDbrA4JZygFTk6kVDJpuQC8QJoen/d5YmoKEghd53Nxy+PztbX7q6aVT7eOdgMeFzzsMu1mP0zg2N52QlhMiSzK1oj4qJtpOSMGUWawWqVknZ351vZiOl4yd5wVDDYzDatvFixLmahZnpyyqljaabIJduqFBWyrLM1RZFER1J0SRwdJULs0U2ewFJJnIwbq6cDLbk2bg+CFZJjFZ1Mc2LRyOsSuKzNX5vcLmIevihQmqCpMlnaKh8upGn42ux2xZZ7Pj4kQxBVQKmsJUUUeWJZZbDjv9YA/bs7rj8NUHddwgpWSqzFVNqgUdS5eZqxb2vO5WzydMUhRFQlEkkixH1+Q9wudx0LRD7m27qLLETMU8NKH+1bUu31ru0Hcjzs8U+dS1ubG9YpI048t36ry60aPnReiqiqWpvGdpfD3Qcfj2/Rb/4cU1bu/0xDi6LKMp0kirVClqzNYMlmpFfuqZM2OzUydBVeSRB8/dusPLax2Wmw5elNJ2hfB1tePy6lqfqwulN3Wuz56b5OZ2ny/dCmj0PV5aafOXP3SeTz85z3uWqry23uPltQK3trrc2e7TcjK6bsrL6zaTpQ3+9DNLSBKkuWijHGUumaQZWZYTpzl9Nzx1ZtQQ+9vwQ6GxqgiWZuhkPryWVOVhHEUhl1nvBERJTtPZOxm1G7vNBoff/6uzJV5b7+KGKZt9dzQFWLN0nDCmVrBYb/u03QBV8o4VOSdphq7KKLI8eK9yQMGLYvwkI85z5mpFylbCdMngbt2m7UQ0iwGqUj3Usfmwnw3fn6Yj3iMvStEUhUY/oGSoVCz3VGzoTMWgZEqstXO2+i7/8dvrLFYKY2v93il4XPi8g7DT9ekH8UPWY8wbU5Jm3Nru44QJpqZwZU60tO7UbexATEeMM4UzdC8O4hRTV8YalwXxcL250Wez42PoCosVi/mqSZLnhEk28rsYPsw1VWGyqODH8WgfXS8euDfrnJ2w+KM7DfIcagWdqyc87FVFZrvrY6gKs2WDK3OVYz02htju+by+0RuNsT91pnrgdbpejCzDQsXi+bMTkIuR1jwXuV4tNyBNc4IoZcf2WWu7XJ4tsdoS7bGioTJXNum5Ma9udNjpBpDLTJVMZEkmzTI0VTvANA0n6sqmTprmewwdx8WwIHXCGEOTDs1ZW2nYfGOlRc8L0VWZJ2bKnD9BRA6CGWy6Id9d7fDVu00AdF3l0kyBa3MVbiwefC+PO86uF6DKMrXiQyH9N+82+cNbO6x3PCRJploQLJKuqmSDcfxnlyZ4+mwVU1PHYqdO6zht6uqoAGq6ITe3bO7t9EWBEaesdhwetBzubPX56BPTfOjS7Nj7HkJVZH706hz3Gy5rbZfXt3vcrTs8tVRjaUIsPt6zVOUrtxrMVgvc3Gix2Y/peiFfeaMNOfzYe84gIzFbMY88P1UR7uhbHY+uH/Og6R7JDp2E3ePbqiJzbtJip+uz4wX0w/iAeHdYHHXciDjJUCTpwBTUfgxFzkPDwEszJZ5amuDl9S4d9+HxD6etAG5u9qn3AzRZOXSfu9+LYTstSVM0RcZSZWRJIk5SslxhrmoiyTmOm2DqCk6YYoeJmOYatLAcOx4VcIe5OO/X+cRpThbBWtfDTxKcMD7R2HH3MS9UTK6dqfGg7uAncK/h8NJam+sL767prnfPmb7DkaRilXGmatL1FS7NFMf+Iidpxt0dR+hhivpI1LvdD8llibKhcnH65FXFTtfnQcMlzlIWLHMshmioIxJsTky1aFItakQRhFLCzK6JsGFW2IyhM122aDj+Hh1TlmcYmoqqyLTciJYbcKlwMDNrPxw/wgkTSqaKokpcnCqeGEkwLBY7XowsSYeOsQ8ZqqmSzoWpMlNlg5fXuvhRTKMv/FbCKCPJwDQUyCWKukYYJ2x2PORcomxqIMFmx2O5aZMhUTYUzkyYqJJEnGajGI/9r6urkmgbxqebrtu9n3vbLn6cMl3RuTCzt/2z3fV5ca1Dox9SNgwuzlq878LkiQXLy6sdXt3oUu8H5ICqyiiSxI9cmeYjg6TxcbHcsvntFzf41nILS1f4zFPzfPr6PN+81+aLb9TZ6XlYhsp7Fmt8+sYs71ms7dH6nCZ64s52n82ez5Sln1qobOoqS7rKfMXi41emRdG30uXrD1p03IBXN3usdXxWmx4/+fSZU0dizNUsnr8wQT9IUGWJ+w2XK7NCoyTYjyJ/8YMWT6yWeWmuzO98Z5X1bkjLCXhhtUfNNPgbn7py7OuqiszV2bK4V2TC4fzi9Pj3mSF2j29v93yWJovcWKjScmLklnRA5DyEHcQDDxwJTZGJk/RYIfLQMDBKMmERAdyYLwsz1ijhfsMdHf/w+wCQ5+MNhgwLFUkSjFJBk0f2FCVNYcLSQc5xggxdVbD9eHTMNUtjqqTT8aI9o+2KLJHn0h5Pn1FBFIRYmoqhqjTdgEYvQpEklkvuWGLsph0S5zlPzJV5fbrE6xsOXiQmxN5teFz4vEOgKjIlQ+PaQgVNkk5FmzedkI4bkeX5SA+jKjJzVZOOF6JrKl0vZv6YG1ySZqdmiIZo2RE7fZ80g5qlYekKYZLu0SkNb0rD4qZoKPQChaKhHDo+HkYpQZISDxijo24KTTuk64fcbzgEaU5B0ZirmSeyZWJCQmTtmKpygO3Z7Z+jqUIfdWfH5qt3m7TcgIYTstn2sYOEoqGwUDWoFjQuzZR4Y8el6UZICixUTBw/4av3t+n6Gbos8czZGs8tTuHFCZYh7ylIdr+uG6UocoKlKVQKB1mh4xBECcttBy9OMDSJK9OVPcVVkmbca9o07YiSobK0YPHhS9MnFplfen2bL71Rp+9F1EomZV3l2aUaF6eLPHd+/CkzgD98bYvP39zmpeU23YHp5O3NLv/mq/dQVR1DVygZOs+drfCZJxdOTJo/DkGU8MaOw6tbXTpOxLmJApfmijy9UDvVtTYsloZF0LnpIl+7V+dbDzrU7YB/9+11Xlpv85NPLvLx63On2u/z56Zo9SOCJKNsHrwuVEXm+YtT1AoaUp7ze6+ss9IOaNs+X1tuMf2iyc997NKxrzNXs7g4U+TVjR6rHe/UrM9uBqPrRby42h6JeC9MF+gHEasdh6YdHsr6iGlGUfAn6fHtLgER+RAnKU2nMNJTdd2Ihu0feI9qBY0ks/aYDh6HWkHD0BRMTUaWZWoFnZqlszhhkaQ5HTeiM4jLCWNl1KJTleqeMfZhMTQsCp0BM7Rb55NmuTAvzaCkq+RZiqmq7DjBib4+SZrhhDGNfoSpKMzWTJbrDmma0/WisRjudxIeFz7vIAwp29P03ZM0Y7sXECSpcPesPJw2eXKhQs+LSNKcrZ5/rBttkmZsdANyWaJmaWMxRCAKDydI8JIUVZUwVAVdUQT7pOmHtmaSLMMNE6JE/Pewi9aNxHSYGyXHnrsTxvT9hIKukmcZARLLdZf3nj2+5+2EKX6cUjAUbixUDvTZm3Y48s85U7EIo4Sv323ScAPWWi71fiDaJoZCzTS4PFPhgxenqBVUvnizhxPElAZsz0srTe43PLIMpksFrp2pUDBUDF3i/GTpANuz2Q1EPlYOaZqTKhlXZo7OKNuPh7leHoamMFcwDrA9d7b73Nq0idKMS7NF3ndu8kStwUrT5usPmnTciCSHpZrJhy9Nc+kU01ND/MErG/z+6zuiRamr6JFgA4NEpu6klM1YjO1fnOAn3nPmxPyxk6AqMoqS4wYJfT/k1SDi9e0eNzd6fOKqYJJOew67dUA1a50/eH2brY5Dx4nY7PoUDJXnL45fDM7XhKi658dMFY++VofJ6WvdgDDaoe7EbPd8fuu7m6iKzF/+8IVjj/nGfIUHDZcwS3ljxz416zNdNpit6uz0fba6CcsNd6Rx6fsxbhhTd0Je3+6yUBNj67sLJj+OyXLpxHbXfjPDIE4JogRLlclzibYX78kfU5Vh1hcjR+dxBM5JmqOrotCcrRgUDJWiobLdC6j3AwCRk6XFKJL8kOEZCJrbXgTko+N9bbNP2415db176P3PjhKiNGe2alIr6KRZfqKvz7A113YjojRDRUZSIHuXTrQ/LnzeYXgUseFKyxOJ4ZbGuV3eHNMlg9LgAh7auh+F4e8tTebsISZ+h2Eowu24AX6QCHFvWUQyNJ0AiaMp564Xs9MLMNWjV2Yn+VSoikyUZMJ2PkuRZQlLlSgYx+ujkjTj2ysttjo+RUthrrKXIRJuziJENcmFA/ZGW0zHtZ0IO4iQEDfLWknnfecmuLZQ49nzE7y63mOl7dP1Y2bKBvVuwM3NPlECqgzX5ktcmCzR8YT/yG5H691sjxclSLAn6HQcDHO93qg7ZHnO0mSBa3N724VBlHB7uy8m9zSZZ5ZqY6W536nbbNkBEjkfvzTDTz93+pYOwLcfNPna/RZ+nFC0ND5wcZLrSxVWdly+s96l74VcmS3zo9fn+JGrc2+ZWPn956cBmfv1/mBsP+FO3WG543NtpslHr8xwfeFw35/jYOoq/8UHL2BpCr/5whr36w4brYz/8NIqczXzVH4581VrrLbH9TMVzq53WGuV6Dht4iyj64b80e0dLs2U+ODl6SO3HbI+9xouvVCYYh7HBu+HqshcmCxR74XCaNAdMBYD08LNXsCO3WOlKZy7hxqW3S0fXVHQFPnEh/5+nY+pq0yVDdLNHm0nHE13HaYlGkfg7IYpSZYSpRmKDFEqQmTFz8WCbKZiMl0yURWJphPv8QqqWBpumFA0RLutVtComApdLxoFww4HRLJMxFUEUUqc5kKTWDHY6YeHtgb3Y7psYKgyQZzihjF5Lhh0Tf3eBOy+nfG48HmXI0kz1touthtR0g62Q1RZJsuPp0GHBYyhihXLkydMUe1G0wnZsSMkwNQFwzNdMnFC4cLctMPRaj1KstFESNuN6PkRPf/0D87dx933Y+xA+BeVDAVFUiibxwtdt3s+t7b6bNo+Z5UCprq3raAqMn6UAjmzJQNVkrnfdEmyFEnORUEiy8xXTa7PV7k2X+YDFyaRMnh9szfI85LIgDBJ6Xg+iiyE2j9ybQaQDjhaw162R5GEDkKRpT3F0UkY6npaTshc1eTaXPlAUfPGjs1q2yfNMq7Pl8d6MAuPnj5ukDBT1PmR6zOPVPRstFy+dGuH7X5AQZX5iWcX+MS1OUxdJbmW4QQDUagsP9L+j8N02eDHb8yRXJ3hbt3hG/cbvLrRE0G4a11u1h2emCnxiSdmTt22A/jp955FkSV+44UVNts+r671+I8vrPG3fuzqqR5M4/ytqas8f7bGt+43ma0VCNMUcoWNrs/nbm5xZtI68nNVFZmnFmvYQUqaH6+zOQrzNYv3nZ8QBpsDNiZJM+arFk/MltjseKx2PO7sOJydeMhqKrJEz0soWTmVgoUXptRtn+YRZn77g0EBnpyvHJju2n3sdhDTtKMTBc4gBhV6XoTjRSS6xnbHY7KgYaoP7x+WNthPDhI5ZUMjydPRZNh02URX5dGU2ZXZMg07QpZzGv2I6aJB2w0HETUplqagSlAyVC5MFnnQ9HDDmJdXOky/5/jPQZElskw4YeeZYHzeja2ud1eZ9xgHkKQZbTciSERe1DiC5MMwFB6XDPVUk0MAbhiT5jm6OghBrRloqtD5bPV8kjTj5maPzZ5PnGZkaU7PE9EC2i79z2kxbEcFSUrPiQiinJKpcWbCOnKfw9Zg243IcpitmAduuNtdX1DcEuiacHP2gpgwyeh7EYqiMl02eGppgouzJZYmikyXDF7Z7HG3btPyQwqGjC4rrHZdkjTHUODidJmFsnit/Y7We0bYZQldlUnzfORzNA6Gup3hFNfFqdKBc9ttZlgy1EPNDI/ad9eLCKJYRIKYp/+eJWnGH97a5rWtPmmS8uRidVT0gHgg14omtaL5lhc9Q6iKPJrU+tkPX+QvPH+OK7NlVFnC9RK+cb/N/+8by/zBKxsEx7RZj8JPPrvEX3z+LGdqFhk531xp8/nXt78HZwLXF6pMFDQUReH8dJG5CZ08F3lWq03/2OtqemCc+XCs/PRYmiwyWzFJspwoyUYt9vNTRYqmShTHNHoeTfuh0V6SZfT8hJYTIyFRLWhUC/qocDoMw2DQ4XHO1SyeWprANFRaTsSDprvn72sFjYmiPmJ/ToKuKMiyTJqlBEk2KCwE3FAs3tbaLk03pGBqVAbffSdMKRkaRUOhZDxklq7OV1iaKKApMl0vYrvv0/EiZElCVWWSPCcHcgmqA4ao5yW8vNHl1lb/2GOtFTTKpk5B15FkyHNo9CNubx+/3TsNjwufdzlURUbXBDOgqtKbojyHvjqnQZrlyJIEPIzZmC4aFDSFIE7pejEbbZfXN3tiRaSqIIGmSiPPnqPYGUk6ulW2ux1VsYQQNpdE+ON+Bmc/VloeYZJS1BUu7nOzHhYgdTuk5wnhb6Mf0vQivDBBlhSQYKZs8cRMiYmiTrWg0bJDMSXmhBiqjKEqGLLEg4ZDnAoGQ+RjlagVdGYr5gFn7mHxmSQZmiyfepLrznafb91t03JCypZ2QNeTpBmbtk/LiY80MzwKqiITxDFxKszYHuV79ke3tvmjN+rYYUTB1Hj/hdNNgL3VMHWVj1+d5W998gp/6QPnOTNhIiFsCv7ti+v86hfu8J2V1qn3+2efO8dPPn2GsqXjhQlffqPOcst+y49fMA4qugq1gslTCxMYmkI/iHl9u3fi9lMlHU15qFl5lNffPXU1LFxqBY0zVZOJkkmY5mz1/dH+a0WNmqViaTJTRZ3ZkrGncDoMtYKGpshEiThOoVMqowC2H/PyandUpA51O7oqj9pPx0GRJUxVRpYlFEm4+QxRtlQqlk6QJqx3fXpegqWIe1LHjVhri1ba7tDdIXRVtPHSTLA+EjlFQ+X8hCVaXjkEkdBlDu9BeZ6x0vKOLLiHGiJdlakNPrs0AzuMWT1mu3ciHhc+j8Fc2cSQIYwy3th+9BtsekqlXNMO8aMUXZUx1L1fRQkJScpJsoztfigEeTLcmK+gqwqKLLNUs3hi7vBJnaKuUrE0isd4kkRJJnxwBllXEjlV63jGKklFovpsyeDsRPHQSalhAaKrCmGUsNnxKesKaS6hyFBQJGZKJpt9j9WWy2rLxYkSgjgjzmCyoDNbskjyDNsNSXJQVZXz0w8LkYmiztnJgy2sOE3peTFRcrqctCBKeHGtzf2mgxfHXJwsH/o+rDZ98hzKlnKomeFR+OLNbVpegqlKzFYLp2bpVpo2n7+9Q9eNUZB439Ik71l8NA+ZtxolS+dHb8zzNz55mZ94coGSqdHzQr58t8V//yf3+O2XV0+9z//sfWd5/7kJdE3lft3mm/fbb3k7QmhKdEqmyIH76BOTFA0FGVhu2Mc+CIcPUWPwHd/qBo94fGLqanNXcWPqKtfmKyyULVRVouM+HLmumjqVgo6pKUJYnDFqYx32+sPjnC0be5ihqbKBpSkkaU7Le8hYDXU7aZbvKcaOQprlhGmGIoEkKYRJgh0K1vXCZImZskHfE+10oa1JWe941PvBHq+ewzD0Olptu7hRRkFXuL5QxdIUdEVCV8RC9cZilQvTRUxNJT5hGnW6bGDpClmWY2kqWQ79MOJB035X6XzePWf6GIdCVYTpVppDRk7Ljx6p8u/5MT0vpucfL4IeYsiMRAN2omhqyAMxc9N5mDcmAZvdgKKpcWO+yvUzFdIsR5JyDO3ooqZa1Jgtm8xUj/b46PsxXpSwMYi7cMMEUz9e6GfqKqoqNDpnakcHJUpSjoRE3Q3ZsX227YA0jSlbGpahUSmqbHYC7jdsHjRcVAWkHKZKGou1ImcnC6x0HKIsQ1VgoVpgqqCz3vboDG6YR1HxbpQQZymGIp+q7Xhr4Cjd8SLOzxwsqnY7eZ+dKI3VFg2ihD94ZYPfe2UL148oWTpPL1ZP1YpK0oxvPGix0nSRybm+WOXHnnprRMtvJS5MlfkvP3KRP//MImfKBbI85d6Oy298fZX/15fu4PjRyTsZwNRVfuzGHEVDRlIkIaZ+i1fkqiIzWTaYKhtUTZVrc1WmSjppLtGwfZre8SzOdNkgGoiRl9vusX971OsvVC1U+aEnz7DQuDpf4ep8haKm0nYDWo74nSxDnGY0nZDVlkfTCWg5Dw3/DsN8zTq0pXZ1oUzR0AiTnPtNZ9cWohgT2qGTmawwzchlhShNyTOww4QkE4ahNUsnTjPiJMePU8I0pe2GJCl7vHr2o1bQMDUFO0zwkxRycV1v932qloapKvhJMjq+YWZf1dJOLNb8gVZSloEc/DBjreM/Znwe492DJM0oGCq1okbR0Jiy9APtg5OYnCTN8OOUKBUX97grv64XEyQJmqKgDx5i6UBDI7Qqg2mlTFyoF2ZLdL34yBDWYavsjR2brhtRtTTOH1GYDPU9bpRgezFdNyKIhYPycccfRGIyy41EG+6wm0WtoDNVMqgVdFp2RJhkeGFCP0ppOSETlo4hyeR5jheJ15oqCiuCWlH4KGmKzGrDI0oFe/XRJya5NFvGDhK2ez6Of3SQYtFQUSSJNBPnOQ6COMGJksF0ikJJ3yvsHE5l9byILGMsn6ZX17v8j19/wO+9ukU3iCmbGh84N8GPPDEz1jGNji1KeNBwyQcBrn/26aVTTTqNC8ePcPyIrhvgPOICQFVkPvPMGT77icv8yJVpDFWi60X81ne3+L/93mt8+dbO2Pu6vlBlsVZAk2WiZG8u01vxkErSjOmCRlHTaLoR9+ouEwUdGeGTs9M9XvSapBlxItyET7pujsJwUku0tfcWL7MVg5plkJKz4wR0/RhLUaj3Ara6PvfqNmmajXV/2i1wHoqZn5groysyfS/iu6tCpD4sxqaK+onaIRAFStXS0SRg1Fp/eDx2IKa4SobKREEEi5LnmJpyZItwN5smIZgZU5NRZKHHsQzRWnODlPX2Qy2WIkv0/JiVlnvkdZ8MpsJURWayZKBIkGaw3BxE5LxL8Hiq610OVZGJskwEWNYsbuxrH/T8GDtIjmVyhOBTQVMkTP14fcx+ZFmOF4t8HmXwrN3t0JxmjOIWapbGza0+YZKiaw/bOEGUUCvoBInw6Hh5vctmP2DC0ka+RLuxW99j6TIFTeO7mx3yGLzw5Jv3Ti9gq+tR1A9OfQiNgIKuCnPF1XZK3Q7Y7gXIMhRUhTNTFooGiiIjyxmTZR1TU7EMFRlIc6F7sIOYKAYMiWvzYqT8jR3n2Ck7RZYEg5eJtPEgGS/B2dRUoiQljBOSNMXcx6YlacZr6z16UcK8oZ/o0/Sd5Tb/6yub7PQ8khwWagVuLJT5qWeWTs3UqIqME8TEcc5kTfuetLi+dGuHr91rsty0iZOMkinMQD90aZLrc1WSbJALN4xZGGQ0HXUuz56b4Np8map1ny/dadDqB9zcdvDidQxV4YNXjh4X342FWoG2F5Hn0HRDlnSVO9t91jse8xWTJ8fIlDsKpq5ybqLIaxs2eZ6y2vaZKOroqgjrXG67PH9h4sjtVUVEWKRpzvwh19m4GJrz7d/30kSBmYpJ2wto2fEoZb1mqez0ZZpuyHTFQJZOft2hwNlUHxZX0yWDLBcTotv9hwLq/SPwx3njFA0VWZJIcjEpJUkSZV0baR0VWUJRQEXYZKiyQtVSkKXjnaenywa6KuGEObNlDVOV6XghTpjwxJywAkhzcY0PkWY5DTvAVCW8KDt0FF9VZCxNoaAq1EyNkilhhzlelPKtBy3Oj2lF8sOOx4XPuxxJmqHLMpaqUtT3+tckaSZSxy1tND11pIDQ1JgoaKee1nHChLod0nEDDF2j60dMlyyyXDgPy1K+R6Q7LIqGo9zCeTnCjxMsXRiH+WFKFCfoZYPp4sFWz+5x8/mKSZZDydDJ85jKmFNt6RE0tdAICHPF1bbLg4ZDGOfkeU4GFC2VyzMlgignSmxMTaZiaiO36TQD20+YLBiESUyUQpxl9Nx0rFV+muWkaY5hqKSZ0CONpfGJk4HQXUVXFYJ4bybVt+63eKPlIOUZTy4cX3hstFz+8NY2Ky2HJM15ZqnKJ67O8uy5k+MsDsOQUUyznHTw/99KfOnmFv/fbyyz3fHxwpScHFmWuLPT5w9f3aJkKmiKQpbnxFkOec7iRIEPXZ7mk1fnjzS5M3WVv/mpqyxOFPni7R1WWy4dJ+Tzd3bQNfnEYEhVkbk4U+Dmdo+dvs837reoPanx7ZUO93YcTF2iUtDeFPt1Y7HKq5s96nZAluejh3CSpTT7/rHXvKrIPL00wZmJ8FjDxEfFdNlgvmJye1tMcTZsn6eXqlyaK7PS8QjilIYdcH6yeOIEVq2gESTpgb+rmAoFU8HQHg5CHMUQ7cfIxyfN8IMYCdDKCmXz4YIozUTeYC5LaIpCzRLO8G07puFER7bomk5ImGZiArKg0fFy4kR87+erFh+8JOOECTVL33NsbphQt4MjZQAAVUujbKrMVC1meh5eMyDO4EFTtFOPakM/aijt2xGPC593OYZsjaHJB9gaJxSxEVOSwRNzJ7vraurpLoqyqYmefZ7hhhm6BmEsqOssy2k7IWVL3xNdAexJZV9ru9zZtnGCmCvzZSxTQdUE61E0D1+Rr7eFT40YN5dp2RFFQyHNMiaL+pu+uIfmimGU0vdj2m6I7UeUCkJsXdZVbC8kzjKqurC4B0AS4mQnTOj5EXEKCeBHKXEm6Ok0ezj9dhTcKEHXJHTVGFvj4wYpXii0QbLEHsbH8SO+vdwijlMMVTh6H/VdSNKMV7a6LLdcpFziqaUKf+65pbHT2g9Dyw3p+RHp98Bl1vEjvnh7h6YtBOHzNQNNVnDDiH6Y0fYimk6ORE6SC1NMWZKwvQRFlVmoFE90S/8zzy5ydaHMF29u89qmTaMX8PX7TaYrxrFFi6qIbKz/mGzQdCK+u9blk1enSfKMlbZDHCd8darIX3if9cjf2aYTkiIWP1VLw9REdErTzljruCOW6Sg8ilv8YdgdWrobiixR0nW6QcR6x+dB0x358NTtiM2Oz2zFxDjGhO+oSS1VkZmuWtQdUXzsNmIcMkSqfHwkRtcThqRxnqNJoBxyafpRQiTlJGmGoSkUNRVHTY9s0SWpiLCIkxRDVZmvmqx1fTpeTC0QzPt81dqTObcb4wyZyLKEKktUCjq6FiBLEKXpke/hMNqnZhnHuln/sOCRvq2f/exnse2D0z+u6/LZz372TR/UY3x/cRhbMywqyGGubHBp5vjE7d26lnGgKjJLkxYlU8NSFUxdpmSoFHR1ZLLlRilBnB7rRdN0Qu41nMG4aIQmSViKgmWo6NLBm8J21+de3cEJE8jBVBXsIMENYoLoaN3MfignjO0LxiohJyNMElJyHD8BSWKz57PV85Al4UOyUBOJ2JNFQ6waVaE7iIWmkTwHQ1P2iL5Pep+zLB/bWiBJMx60XMIkQ0OmaOwVSD5ouGz0xc3x6myFa/NHZ14lacZywyPLc6oFjU9fn39TRU+SZtzc7pMCFUvh8mz5LV11fv7mNq9t9ImCkGfOT/Df/Lln+L//7PP8N3/+OX7iPQs8eabK5dkSV+YqXJ0rc2m2zLmpIotTBZZqRSx9vGO5MlvhJ59e5JmlKooisdHx+O5K90T2aqpoQC6uhY4bYqoqTy9UxPRemPDawEDxUZCkGettH9uPkWWJalHl7KTFmZoIwG30fF7b6J94jG/28xgKeQ/TvEyVdCZLBmGa0bBD7jdcqgWN62eqIOX0/YjNdsB2P2C75x+6/yEzEw0dlXedz9KESXVw39utlxmOwI8zqp+NUWgk2WB0fzDZdVJx0vUice/TBUs0dGveraV61Pe97Yb0gwQ/Sui5MdnAWHG2crj1hXgWeNxvOKy1vXeE2eEjMT6/9mu/xj/6R/+IcnnvDdD3ff71v/7X/Kt/9a/ekoN7jO8PxOjzwYuo64kMH1UuHLv9fl3LuBfkdMlAl2WyVLgZFwyVsqnSdqPBhZlSsdQTH+BuKFZBuqowV7WIshwvSImy/IAPzVbPp+VGGKrEheki81WLjU5AmuXEaU7dPp7eB5G74yfJiR42weCm2eyHkOdUixqLNYs0E6vLFLFyG5oElgwVTZVI04xIklBAFEKyWPlu9wK8KDnAgL0VuLPdxwtTNE1isfZwoiuIEl7d6iIhMVnQ+fi12WOZv5YdUrcDTFXm4kyR6wuPXvTAoPDZtEnSnKqh87ErM2+Zd0/XDXh5rUvLCXH8CFXKuHGmBkCtaHJtvixagANtz26NTzeISVIOtBqOw9JkkU9fn6PnJax2HL7+oMW56SJPLdWO3e7sRIEozVkcOJhfmS0zWdTFxM+bFDnbQUyW51RMjbO1ItNlg/edm+T1TZuGHfMnd3b45NWZ71mLYyjkXWv7REmyR/My/N1cxeJBs48dprhhhKmrPH2mygvLHdpuyP2GzULNYK2lHekg3fUiWk64x1FZVWSKmjrS/NkDNuW4YzoJWZ4jHcHIumFCyw3RNeXYOJ4hhuzuUJejK5JwbT7iOPIxCrChGaKYZg3oRwkyYKii5X7UvrteRL0fjOVm/cOAU32b+/0+vV6PPM+xbZt+vz/61+l0+J3f+R1mZ2e/V8f6GN8DDIWSQkB8kEU4Ka4C9upajgoNPQw7XZFOLssiUwqg6wsLeFmSUGSZJDl5X7IkkZMhIY20MnGW4geHHYtEyVRH+VXDok1RFHRNRj7hknDCFE2VmSoZXJw93DxxuJprOgENW0wHhWmGpcvMlAw0RSFKxLj5xOA9b9ohb+z08cKEKMmRJZmCKaEB6kBEvdLyqNsBSZKd2h37OARRQsMOMTSF2aLJRy7vNQZcbwlH6LKlcWX2aOYvSTO+vtyk5YppoCfmq2/6gZmkQuhtaTJnagUuTB1fhJ8GpibaH103ohHAf3yxzl/4f/ynh7/X1ZEL9O7/1oomF6bKXJgqnpr2X5wscnWhRJpB3fb5zlr3WMamZOl86sY8H78yw6duzFMaFFpTRRNLk6meovA6DN0gJk6EIegwhPj6QpmqpRBmOa9t9fnj2/VH3v8494LhZNdhLtDD39UsA1OT0VTBfE6VDWaKGrqikkk5vXCvF9BhyPO9xcaQCYrTjCDO97Awxx3Tbgy3kSWJJMsJ42Skyznu78fBbiapamnCpfoIDWI3iOl4Mc4JocxDM8QgERrHJEmRFYXJos7sCQu50/q0vZ1xqiumVqsxOTmJJElcvXqViYmJ0b/p6Wk++9nP8nf+zt/5Xh3r2Phn/+yfcfHiRUzT5Pnnn+fLX/7yD/qQ3pYIooQHTQc3TEgzmKk8+k2068WiD3xCmOkQSZpRd0K0QSJ70RBTYZ1BFIWlKxQMBTdKj50oq1k6E0UDkNjuB7RcMaLedSM2eh6tXWOdoyJHFi2mYX88iFNmBl4mpq4ceQ67w0llSWKqpB+4sTftXR5EEnhxQpJnQDbSUwGEaYqlKtQssY/vrHW423Cwo5QszyhqCpKkoCggI5HmQuhY0BXMwSp1P4YrxGRXptk4UBWZXhATxSkTJW1PK+uNbRs3STF0maXJ49udQZTQ91PIcvwkRZXzN134mLpKyVJQJIlqWXtLnZpNXeVT1+YpDp4lQQ4vbsCT//V/On7DAR7l3FRF5rnFCTRFoudHrLacE7f50KVp/vP3LfGhSw8nwQqGOvr3qBCDDeKhPYxGADg/Vea9S5MoeU7Pj/mD17ceyTm6aYcst5yxLBWGLtBDd+Xd0FWZkqliKDJpJvQvANMVE12TMBQRF3KckWKtoI30SLvRHWjHdPVgsXLcMQ3Pb6cfIEkSBV1BQqYbRGx2/bGHCo7CsJDpBg/vRUdd00ma4QYxaQ5RfPx4f9eL0AZMlyxJGKpMtaAwP/HWLSh+GHCqT+aLX/win//858nznH//7/89X/jCF0b/vvKVr7C6usov/dIvfa+OdSz85m/+Jr/wC7/AL/3SL/HSSy/x8Y9/nJ/8yZ9kdfX07qnvdIhRdkCCiqmNHT9wFCTptCsCifmqxWTBoGzq6KqMhIyuKsxUDCaKBknOkd5AqiJzdqrAVFlDkiUa/YD1jo8hy2R5juOnrHUf9qSPYqbsICHPxTTU7nyw/dju+byxY7Pt+ARReiDaYndelqYqFA0NQ1FQZZHnMyTPOk5ImuZossxCTfTVoyQjT3M0WcHSFSxdxVDFtpqqYMgK02Wdgq4yXT7otdS0Q+wgoetFOLFYxZbHnLAb+rGkQJpJo3MPooTVjoupKExZBk8vHp88XrJ0rsyWiNOUOMl5Y+d4999xjy2Kc+JM/Pet1hd8+Mo0P/PBS3t+5gH/87e/d/eLakFDQjiljxsQedikzfil7eEwdZWL0yVyoBfE3NlxRm3eP/3MAudmLBRF5kHT4bUN+1Tv/VAXstLyeNBwjt32KHfl3SgaKpMFfeDELu4z56YLlAyNPBfHf5gX0HD/R8VQTJcMJksaUwX9gPD5uGManl8Qp+iKwmRRI8pSOm7Cg4Y9cn1OsgzplFLaodfOMJbipPe968fkEpR0lcniyRrLdKD/Ewsy6dQxQ+8EnGq58MlPfhKABw8ecPbsWeS34Rv2K7/yK/z1v/7X+Rt/428A8E//6T/l93//9/nVX/1VfvmXf/kHfHRvP1yYLBLHCaam7klCPy2GPjqnETcXDYXegJ5VZZmqqXNhuogTxpBLWLrCTNlgrnq0nmW6ZHBtpsJONxj06ROmqgbyGjhxzEbH5/0XHv79kJky1b0jp/rAz2i97TFVNHh6n+5C6AAyLE1hrmRyZa58aBr0cNxelSVqlk7JULB0DXbdu9woGfjsCGdl4QYtuv61gs7ZiSKyIjw6DA0qhkKloKErMhVTRd9nLZCkGTe3eqy3XNZ7HhOWgROmuFFM14vHa8fIoEoS0a6brKrI+EmOqcnMV8yx9DrvPVvjd7+rYXcSNjqPGmPwEGLCxWOn4zJhGd8TYeXf/YkbFAsq//A/3Rn97L0Xam/56+xGlIjvUxCPL6jfjY7jj0au3wwuzZSoFTpsd312esHoe7U4UeSTV+fZ/MYKjp/w4nKLT1+fPSWLIWIfnDDh7BHp6UOc5J2jyBKqqYyKGFNXOVO2MBSZdprjhWIq7zAcJm4eaoi8OMELU+aqJpau7LmuTjomVZHQVHFp66pY2DhByFpb4kHTYWnSwotTVFk+1cTrafyRhhNglipjVS3sMKTj7mWKDoMTRSRpjiJJY+t2xhFx/7DgkSqX8+fPI8synudx69Ytvvvd7+7594NCFEV8+9vf5jOf+cyen3/mM5/hq1/96qHbhGG4R6vU7/e/H4f6toCqCMbB0FW8KDmS6RhnP6KFJI8tbk7SjF4Q0eyHdNyILJeYq5o8tVRFUxVyxMjlYs1ioXJ04aMq8qAoUDA1CUWWWKoVmKlYmKp8KFu0n5maKoniytBEfEeUZge2URWZlhOSZkJk+v7zU0ceU5YLvZFlKJi6ykRBo2BqGJoYRy8aKpoiEaYZLTscuUHng/DViqlS7/rksmDizk+VWaoVsINE0N/7WnFJmrHRDWgHER0nIsly+n7MctPllfXOWFM5V2crlEyVIE54abUDCBYpDFOiNBnbBVpVZAqGNqLR3wpR7L2dPsvNkHs7x1+bTdujaXuP9BqLkxYzBdCA98xbeFFK1/3eOdmamvCOMbXTi0X/lxfXuNtwiZKMinl423NcqIoMMrhxPIhHech4fPDSJBNFHVWVabkRQTx+kTVkTA6LozgMh3nnjH6XZeS5hBemJNlD75ypsoGhyoSDnLvjMBxP380IBVHCckNEtDSdCFXeG9J83DENz69mGSgKeGFMkiaEMThBTMsOWWk6dL2IHJgr61TM8XiGoT/SBy5N8vTSwzy8o0b+u4MA5IIu/KaOc9JOsgwnSNnq+CR5jmVolC1lEBR9zPt3SOvthxmP1CBuNBr8tb/21/jd3/3dQ3+fpo+2inmzaDabpGnK3Nzcnp/Pzc2xvb196Da//Mu/zD/4B//g+3F4b0tMlwySJGO7J/rS+5mOcZCkGastd6D6l7g0M577Z9eN2eh5xEnKVFnHVBWkDM5ULJpuQJaJ3nu9HzBR0EfMxe5ed5JmuHGCPkgzr5g6i5MmhibRsDM6brjnWPYzU6oic3ayQJgm9DxxY5+rWgdugEmacb/h0AsSiqZKyTj8gSX2byIj40QxZyYKpFkqoicMlTTJmSyKoMAgTnhls8ePXJmmaYd0PFFYxWTcqffpOTGVgsHTZ6ssThR40PQObSd2PWGLH8QJ1aJBWVfwYxH9oat7V7GHwdRV3n9xkhcetPCilD++U+fppSprXZeOG9H3Y6pmzHLbGQlgj4LQVElMFHWmy+Mnwx+FbhCy3nbxElhruXSD8NC2z797YYXf+vYqcZbxsYuz/N0/fWPs13D8iO8sd5kqmahSwGvbPn/v373MVEHjZz5ykZ94z5k3fR67oSpClFzUlVOLk3/3Oxv83mvbuEFMrWhw/Uz5VLln+zE0MDUUBV3eyyQu1orMlk38KKM00JadBkOBcL9/fJbWEIdNXjWdEG+weInSBDdIofLwGmh6IS0nomgeX/iULIWZzNyj42k6IctNBzdMWahKhw4MHHZMu8/P0hWSJMcLUxhkHvpJznLbZrZi0rIjagWNiaKJJCHY7AGOKmSG+67t0iHWChpN5+HI/272rBvENJ2IgqkfO/3VdITzsxslOFFKlkLFEjYayjGN092tNzeI3xFGho909L/wC79Ap9Ph61//OpZl8Xu/93v82q/9Gk888QS/9Vu/9VYf46kh7ate8zw/8LMh/t7f+3v0er3Rv7W1te/HIb5tIG4owpH2MHbkMDv5/djp+qy0PLp+hBcdZEuOQt+PcYIEWc7RZcGG1J2Qkincg2tFDSeIqdvhiI06zC/I8dO91u2pyJvy45T1js9GRwQoHjV2XytoKLJorckSzO96uAuBpkvTCZFyiTzLUI64bHbv/9xUgVpBQ0bk9CxVTcihE8aUCwqTRZMsgztbfXZsn2zg8JpmOTudgNWGh5dkQMq1ufKRHj5DXZGhyhR1jfmyia7LqKoknJvHjBB5YqbEuSlhpne/5fJGw2GjHdAJxISdrilsdcJjWZ8kzXh9p4cXJxR1lYtjFsAnQVVFlAeyTNs9+ABt2h7fWW3z6kafr684/Hdfus9n/z9/fKrXuNdwaPUDtgZZmy9vuqy0PL77oP09YX6Gt6MTFtp78PJqhy/c3qHjBei6xgfOT/Cpawtv6jjUQYs3TNM9jA+IzDtFlqhaMuenjhe2HwVFlg5MUx2H3feaYRsnSoSLuzVwFV8YLEyCOBmYboKXZEe6qQ8Z0omCztnJ4qiYuLXdx41SNEXiytzR39Xj7n+KLA1G2GGousqyjL6XUHd87CBmoqhxdrKwxxX+OO+iIfbrjdTBvXg3ezYsSoYsT1FXDp3+2m2KGA20R4qUUzQ0CoZMxtHnOGy9lXSVXBKaoh92PNJd6Qtf+AL/5J/8Ez7wgQ8gyzLnz5/n537u5/jH//gf/0B1NNPT0yiKcoDdqdfrB1igIQzDoFKp7Pn3boKqyMxVTear5gEtTa2gi4szSo8Nvas7IZBjqgqXZg4f8T5sOz9OSQcxAAmAlJOk+UiArKsyiiwPRIvxsX5BuipuOh1POLymaYYXJTTtgK2BdmEobk6z/MDYfc8V4Z99P8GNk9Hfr7VdVlseDTukWlTRFJmJI6aL9ounS6aKpWvMDX1xJHC8mLKmcWOhQsFQiLOcrW5INnCrduMUL04I0pgogiQBQ5dp2OFINL3fw2eoK7I0hcmCBkgUNY1qQeVsbbxpjZKl8/FrM8iAFyR86eYOPT/C1BSmigYZOXU74NWNo033kjTjQcPDj4TD842FN282OF20+OCVKc5OmTx9bgJDOdjamS4XuDRdJt/VifnCbZv/y398ga4b0HWDY0XWSZZRNFUa++qbe52IZy5OUiu+eeZqz+ulGU3bJ4jzscXNQZTwldt1NjoupqbykfMT/MUPXHhL7AJIMwz1IeMzfL0HTRc3TJBkUWw/ymsdNU01PsTCwVAlDFVMTw2ZX1NTmS2ZWLoI8PQPaXcNRcidQcE8PI4kzXhQdwnijJKhcn2+cuj5JVk2VhYYCONRRQZNkUiylLYboShQswwWJ0TbT5ZkVFlmvmpiqMqBQuZISJBLDHTdD4uU/R4/iiIfyd0MTRH7XkgYZwNhtkyaMmqPHwZVkbmxUGVy4Dw/1vG+zfFIV43ruiO/nsnJSRqNBgBPP/00L7744lt3dKeErus8//zzfO5zn9vz88997nN89KMf/QEd1dsbqiLzzGKND16Y5JnF2t5VRs1EU5VjJ51A+MvYQULFVHli7mhX3/2vqyvywKsnh1yIfRdqJnaQiNF4N0aV5VF75yS/oDDOedCwubPdZ6pkUrYUkCTWWrt1H9K+/wrUCjqyDGkuWnC7/z5HUNltNyJKoe0cndzd9WI6bkTXi1EkGfIcQxKu1LWCPtIiTBRFUSnJEk4QM1uxmCzplA2VoqaiKgqyIlybvSCl5UTHulhL0sMoizgRWVMlU2Npcvw4g2cWq5QsFT/KWOv4TFo6kJOm4kEYZykrLY+d7uEOuQA9N8L24z0i6TcDU1f5P3zyKv+7j53nZz98UbSjDjmfv/6JK/zlD+9tSf2br+3wX/zqH/OLv/kS/+yLb/DyaufQ1PVa0eQjl2e4UNv7cH7hl370Tbe5gmjv9zRJM758p07LEW7JU2NM4QDc3rZ5dauLpas8MVfiz7//7CMPIuzGrc0+93b61Ls+8a7IAlWRWe04IhFdk7g4c/o8sOOmqU6zvSJLFEyVnL1tblWRubZQYbpsUdYV+kF6pAam3g9GBoUPkWNqYmz9sGtq2GYTLOt4hZsugykr6KqKG8RkqbDmmC4Ze4rA6ZLBmZpJyXg4pXYUhmwNiHDchX2t+N0eP33/eC1O0w7Z6oeD61OibCpkGRQ0lSg9emqy40X0ghg3iE883h8GPJLG59q1a9y+fZsLFy7w3HPP8S/+xb/gwoUL/PN//s9ZWHhz1OubxS/+4i/yV/7KX+H9738/H/nIR/iX//Jfsrq6yt/+23/7B3pcb2cclbczXTIoaAr9QwS1QwyZmzDJSHNp7P5v0w7RFJnJkkYYRcRJiqWKKafdCeS1gk6cpaP2TsuJ6LjRnqmsIUxNIc1SkkxmumxwdrJIEOakmThOU1cpGgptT9rDGA2ZpGrBQJUfBqIO9T9JnhJFoviRyJCOoe6Hx1s2NfI8p2QqRDG4cUqcpiiyRMcXNxFDlVFliamSSZznmKqKocuUTRVTUZHyBGSJbhBTNvRRRtlhrxkkJlEsEqKLhtAgmZp6qnuUqakYqgioVCS4sVRhqy+mh1RJJs9FYOx612eudrCgemPbZsv26foRtaLBRttnvvLoOVJDXJ2vcG6yMJrEOQr/9Z97L69ud/nKfVHopsBWN8aP+tT7AS+vtpkuGVxfrPHBC1Ncmy+TpBklS+cvfeA8XhTx+nqff/vSNi/80o+/6UyiO9t9vrPaZrpi8cxijTBK+MNb27y43EVVJc6ULD50aepEjU4QJfzbF1a4s9ljqmLyV65d5PLsm2emX13v8p9e2eBB08PQFaT8YRBlECW07QRFBktTmSmdnvFJ0ozeQH92XNjnONt7QXpoPEjF0iiaMraf48dH3KMG4ujdUBWR09X24oeM7L7X3p2Xtb/YOAqSBLquYGoi+qVoaKN76+4i0NRVKpZGL4jHLAoF8zW5S+u4G0NJgh/vjbbYo1XMMnphguPH5Ig2V8UycKWY2ZJ55ARZECXcb7iEaYqSyMyO6WL9dsYjFT6/8Au/wNbWFgB//+//fX7iJ36CX//1X0fXdX7t137tLT3A0+JnfuZnaLVa/MN/+A/Z2triqaee4nd+53c4f/78D/S43u44cmpKlo91bx6a8mmKNLaeZKhLiZIMQ1Yo6GI1pewfFx1MifUC0drqejFelKKr0oGxeVmWmKnoyBJkmcS5yQL9IGSl4RMNAj4PY4x2mxgK8+gcQ3043VEraNACLxYaCFk+utW1u1CScomiMQw8DPHCmEJBI00y6nZA3xevH0sSmiLs5iUJOk5E3QzJpAxJEinwx5kRDl+zYMgESU7HCdAkmZ6fEKU5Wz3/REHy7s+lbOpYqip0cbmYeFtpuixOWMyXTe62HF7d6FE2VZ5crI22DaKEb693qPcDHD9BITsxz+w0GNe48Nf/qx/lv/1P3+WPb+7gRhklU6FkaCRpjh0luN2ctlfn1fUOBVXhzFSJa3NlfuzGHH/1Y0/QtD3+27/43jd9Yw+ihP/phVXu1h3mJyxsL+LmVp+7dZs4y5gpW3z62gyfunHyQrHrB3z1Tp2tXkySplxffDS9zf7je3Glzc2tHtt2yJWZMvMTD9m0F1c7PGjaBFHKTLnA3DGj6Eeh6YRs9n3SNGemdHqWYLh9yw6J0pQJVT+UeTluz00nJEoOZ22kQdvoKPuxrhcRJTk1SxmrCI7TDEmS0GWJxYki56aKo0m4phPuKQKDKBm7KBwWTW0vomIdHSuhyNKJ0RZ+nBCnCYoiUTGFB9LEYKr1xsLhTuuqIhOnGVkmFllzbwHT+IPGIxU+P/uzPzv63+9973tZXl7m1q1bnDt3junp6WO2/P7g53/+5/n5n//5H/RhvGtwWMjpSeh6MW4UC31PluNFD4urkQNx9rBQ6QViuijJsj06l93U7GTBYLqk0/IiNFmCTJh0+cHDG8uwFbWfMWo5EU4gpr10be90i+OnrLUd6l0fVVVGra7DHsbDQqkfxERJKhLivZjAyZDChKKhM1U0MFSVjY6LO5i+UhWZIEnwooTtjoeuSKiqSHvuehGF6tHv7XTZoGQo3Ny06TgRSDK6LA0Kp7E/EmENYGlomkyU5uz0ha5LCHAlFqctbu6ITK8HTYdLM6XRe9CyQ1abDp1BC6dkaczXfjArw//zTz3DZ39EOCKbqsoXbjX43ZfWkDV5ME0nAmTrdsSdnT5/fEfhhQcN/qtPXWO6/FATdXuny1RB3/OzcfEnd5t8d72DF2ekWcqXo5ienxAnGQsTBX7s6iyfeWa8NlqS5TT7MUEOTScjeQv8VJpuyErbEcWhpnJpusiTc+LB5/gRL6126PoxQRRTsk7fphoyJmmWk6XZ2IzJ7u2X6w5RkmEHCQVdxdIPMi/iOsvRFBlr39TZcEFTLeiUjHzPtkkqrrteENOwg0MLj1pBI0hSpkontyNtLxyFHJcsnaXJAgtlk7WOx3rHxwlS7DAmz2GmlNN0Q+q2T5icXBQe5UN0GConRFsE0SDDMAdVEwVN2dKoHcEkDVG1NMrmeAaJPwwYu/D5xV/8xbF3+iu/8iuPdDCP8cML+RQRCQA9P6Zhh/T9iDjLkbKMNM32Ti9Z+shwUJUlJgoGJVNlwjq8J59kGZahogYxDTfEDmLiNKPhRrTskLmadajRYpIKVsXQJExVoaQfXFVJDMbG85jyCTEBqqTQ9X2kXKLvxbh+TJILalkINRUmSjorbQfbj1lpunz6qXmmCyZxGpACkyWTphODJLHV9pgb4+Hrx+Km5kcRU5ZO0VROpfFRFZkLU0VeWe+QJhkrLU+0BFURaSDlYjLGi3ycaK+B4qYtGDxNhsmywfnJEtPFty5P7LSYrwpWxPEj/oc/vs1qN2LOyvkXf/PjrDV8Xl7v8Eajx2orZaft0uqHeGnM//XPCrbnL/4/f4dvr+dcqCr8zEcv8Lc/eX3s13b8iNe3+iCBqUpULY0wzkjSnGfO1fjU1Tmevzg19v6CJGOo23Vz+Na9LkvvH09LdxiSNGO7GwqWVgGzoDNVNkYreVWRCdNEiObDkO2B+/npi9gcN4jxo5SOF51Kk3S37nBzu4ckSYcKm4fn0eiLwQBFEoahu1vBqiITJaJQnKuYe16/6YR03RA/zA6ljE6jT+oFsdAXpSmGpnFm0mSyqOMlKd0gIrQzmnrIZFHD1DRmSwZxmjNZMonidKyi8Lix+v04iiGO4pSWI+5F6iB02NBkyqZyYsRNkmVoyjsjoBROUfi89NJLY/3dUWPjj/HDi5PG2aNTZkMNdUFZJlxPVVkatbm2ewFhkqJrgtVxwmSkbRFtr4c5W/uhyjKmJtPzIpwgpTAwCvSimNe3+8zVrANTYU07pOsLZuPCdImZknVg5VMrCJZmoqDjxQnWMaZzQ1H4asfF8YXviCxJOFFMwx6GGWboisZirUCYOoRJjkTO0nQRO0xw45TpksG65uHHGa9t9Tk/XTmx5WXqCpos4eQZSZ5hqeqpw0zFSLBMkGakec65iQJ1OwCE1cD5qRJdL8TxY+5s90ftrtWmx3Y/wNJlLk6V+MDFqbc0V+tRsdp1afoZdpjjh/CrX7zL//aDF/np9y7ihQv8Ly8u87nXQnb6IX/4WhOJF/n3X99hKN9+0Ev5p797j54T83/6qafHek1Vkel7EbqqYGkSZUPDizOeWSrx555b4vLc6fQ5pipj6BAMJvl/+7sr/Kn3zL0p/561rkfPi9FVhcszJear5h5H4+vzNX735S2yXOJeyyWID2c4j4KqCC1IlOSEacr9hsvF6fEmPsM4oeUIrYyUganJxOnBB/qwfRQlGaahMlPaOz021AhFiTAi3N3a3uoGGJqwzLg4WzxU4zMOy9LxInp+QhDnIEGtoPDk/ASKJNHyQpxAhBEHcUoQy0wWTeZqFl0vZqEqdInHOVrvxpsJCW06IfcaNi3HJ0lydEssLE1dwVTVY8XbjyLyfrtj7G/yF7/4xe/lcTzG2xQ9P6bnxUcGhQ7T3WU5P1VchakrhJkYwS7qMkVDPKCHo9nDyYc3dkTLYtj2Sgdjl0fdiKaLBrqqkOYJkyWduq3RdmKWGw7Bpak9Gp8gSnDCmDDOySUxVVbZR+sPhc+moTJbM6j3JbJcHOf8ETfx3aJwbTDGnqbCt8iQAhp2QNHQuDRTYrPjIcvQ9mImCwayDGRCQJ3lwqNj2/Zxo4S5qnHse1wzNcq6gh2IVtVwSmPclXqSZkLgPDj2IEm5fqbCnXqfzW7ARjvgufNVciS8MOFu3ebSjGBWtnseXS9BlmChanFx+vRTQN8LPLkwwVOLRZygi6bC7c0+//rr97k2U8YNU3b6EZocoyrQcxJ+/es7BwiAAPjdV7b42Y9eYGliPKYlThLSNMVJZQpaSqmg86PX5k9d9ADsdCN2d2ajOMOJokcufJI0ww2SwcCCREEVmV3DokRVZM7UTNEuBpJHjNUYMqxORzCv434PDU1FU2VUSaZYUEhzUOLsQFETJCnTZR07NJitGMzWzD3sSdM5up2kKhLlgkpJV1g8RNwstg/ouDGmerj5YpJmdOyIKEqEqFmSmSiazFRMchjoBiUqBZW+n4xa+HD0QMn3Akmasdxw2ewFI32RXDSQJRlDlQ9tIe7edqsbEEYJpqadumX5dsUP/xk8xvcMQ2YmSLJDzQ3fTLp7SVeQGQRiSjLTZZ2pkkma5UhSfkRwnoQTJmx2gwO+QrtXg9Mlk+myzmLFwlIVojTFHfTfd6fID6nw7b5Pf+AsOyyqdr8HbpiQphl5lhOEMRtdl1eO8bMZHsNc1aBa1JElCVWSkSSZDMGsC9ZHRpIl+kFCqx9StTQMRSIarOxUSSbNIE1yCpoILjW1oyeben6ME6XEWYaminyg09ykRGhlEfKMKMmpd32COCHNJcLBd2C6MGC+ooT1jj+a9lNkmTwXq3VOmL76fuNf/u8/xt/59BU+enkG09CwvZjPvb7F525tcXuzh6kZJBH4+dFCWccZ37TtK280WO8GIEm4YUzDiVAluH7m9EXPvZ0+//pr9/EGHkMFGT54YWbUynsUDK0kwkj4QtVK+qiABfGd3+mFyIqEpspMFo1HDrKcLOpULf1Izcl+DN2MRQSNjOOng8kqZc9DV1VkskxMnJVNhemiyZmqNWpn7db3TBX1A9t6cYLjJ5QK2iijazeGomhNOZjavhv9IMEOY/w4BVmmaD1kWfu+8GgyVZWifpAl/n5eI3YY40WiGM9yoRvb6bm4UUaUZcfqe5bbomg66e9+mPD2uTs9xtsOQ1dXP04OuLo+/D1kec5EQT91ursfJfT8GBnBkpiaTJhkB9yJQbSx5msGiiwd8BXa7eY8nHKaGIjw4jRD2vc4G06pDYsaP0zw44yeH7PTP8ydWMKJUnpeTMsVmT/1/tEmXsNjKBoqjX6AH2Zk5OgKSIoiPH0G+iXbj3F32diHAyfWIBYW+FIOeQalgooqS9T7AduH+OiMitRUtAVVRSIMjzaePApnJy20QcxF3QlIBu7PisRoau/8VAlZzrH9hG+vtgC4OFWipMsokkLrmPfmB4W/9clr/MKfusZPP7NArWhgmRoyEj0/ZrMXoJ1AnvzYs7PMV05msZZbNl+6vYMfpUiyxERBJ8uykaXCafDKWof/95fv8idv1AlzkSP2votlPvuJy6faz2GYLOpUixqWJlPdNymUpBk3N3ukSBQ1hRtnDjf3Gwe1gsZc1RyrRTLyuSlqNB0x+WgHMUVd5UzNPKDv6XkxjX6AHQiPLSd46Jm0W98zu0/fE0QJa02fjhcfk9EliqbZsnEky9EcGLeSS+Q55HlGRdc4MyEWcD1fLEJ0VaZa0FG/TxqZwwwX0zTDjzJycgxFoWiqxDmEUUqcHO22P3SGtoP42L/7YcMPvgn/GG9bDHN8LFU9kOMzRM3U6A7yXk6LkqnT9SMsXTAdYZLt0fcc8BUqHvQVGraidrMhw8mqjh8RJhkFUx2NlsNedqjrxfSDBEOTqRV0DEUhSPYmOC/UTNpeyGzVouVGSLKMrh4/uj+80TediB3bRQKmikWmSiYTBYOFmknPj5GknHRQl6WZaE9lWU6cQ5rnJDlEWcZay0GTZRRFoWJpB0bUh0VqmKRipa6IXKC1rjv2ODsIL58sS3HjRIwBq6oovgbj7aoiCtDJkslG2+e1dZvFSoFrZ8pUixpNN+TWVp9bW32eOz851mt+v3B5tsr5qTJPnenw1bsNXt/uM1nSaPZC6k5AUQEv3cv6lIGf/uA8/8c/9dSJ72GSZnz5Zp0HDQckmWcXqrSckLsNh+yQhcNxWG7a/A9fu88XX9+mH4gb9cVpjb/20SfelLZnN0xNIdPYE6UwPI/NrocqSUxUDMGUPYJe6zQC4d1/GyUZYSoWQGVTHU0b7t/+Qcthte/Rt0OKhkrXf9iSOkrfM4QdRERZiiZzQAd3nCh69/4bdoSpywRRSJaBIkksTRaQcmF/EScZlq4Sp2LxIEnSm9LIjOMgXStqJFlOyXpYZDWdkI2OR8sJUBUVS5GYKepUDOHbdVwCvKrIrHcc7jecY9nmHzY8Lnwe40gMtTiGJh/r0XPaiS4QraDZskGcCSHvTFkI/uI0o2weLcodOjkPhX5JKlZUQzZkGGbq+CktN0RXZUxdZ6ZsDoqivVNdw/8/XykgkeMMNEC7z3W+atF2QvpezBPzFcF+aMqBsMD98EMxyuzHGYYq0/Ujzk0LIel81WK7F6KrCrafCudrS8dQZHRNwdIUsiwjSQVrtdENKBsaSRpybvIg85CkGdMFg27BIM9z8hwRkeGfTp8RxAlZLiHlOVku4UQRdTug7cfUB2O/SxNF3n9ukrazjRcmfGu5yY/dmGeioBElGTu2x8vrHa4vVN4WAufdUBWZ585PcX2hyq2tHt9cbrHRCQjCCD9J2eq4bHZD7CgjjsEwhQ/T9sAP6Tj87ivrfPFOnSjLmK8ZfOyJGX775XUMTUaW5bFWy0GU0PVjfvObD/jy7TrtABTg/JTGX/3YE3z6PW+NQWx3kCCeSfKBqII36g5tN8JQJC5Ol3li9tHaaqcZwx4WKkGY0OilSHKOrojFTA4Htt/u+Wz3fMIoQVFkJve5Lx+v75ExDAUFKJgHC7KTiqbR3+UpXTcmyiUkGQxNY2mqQN2O6DgBOTBVVMnynDTLTmWEuB+1gkaSWccWToosUdRUthIRCtv1YmoFjeW6w0rXwwkiFBkqJY2iqbM4WaJsKFydPTpaxgki2m5MEKa03RgniN7yCJcfBN5ed6XHeNvhUTx6ToKqyBiqRMXSSHKD0qC4mlIMun5Imgln591p7MNCp1bQabnBKD9svmZhago9TwSkVix/dHPIMiFaBolcOhhSOnRy1lUFL4pHxYKu7mW3kjQTLThdYbKk0XbEaOlW12f6BBfTWlFjvQO9QVHnhyl1J2TGDpmvGVQKOmka48UJixNFakWdIMpQFIk8z1FkQaHLEvS9iCBLDxWam7rKpZkiWz2PPMtJBy7Lp/5sZBldkdAU8d+htmO/ieVTSzU2Oz5ff9BkpePz2laPi9MlvnGvhROkvLbehQ+8fU1DTV0dFUC7p33u1m3+w0tr/MmtLRpehh/Dt+71+JX4Nf7mx67y9Nnqofv7X1/e4N99e42mHTBdMnn/uUmCJPv/s/dnMZIl+Hkv9jv7ObFvuWdWZa3d1V09vc7GIYcckaJEWpRkg/SVIS/3wXyyAIECJIFvomRY0oPhJ78YwoUBAwbu9YWvpCtzFzkactae3qtrr8o9MzJjj7PvfjgRUZFrZfVUT5Oj+oBGV2ZVZJyIjIjznf//W+jYAYosslQ9uWpjGt+5v0eaiPzlwwO+/6BL186ec0OC/+3XrvC/+fql5/LYozihb3q4URaSaU01bntBxA8etRl4AQICl2eKPxF5Pa8Nu2353DsYYDoxThAxW9JJkxiEdJJ9M338e32Prp1FXzRyOrOFJ8Lm6VVVHKfHyEYUJ0hClqysiNIxYnOe4EVZErG8iPWujRfECEBBl7hQydOyfA7MrKdLkqQsZkM4vq47L7LVeT7L2zFO11GOxdNhnDAchKwbNvMVjTvNAY+bQ2Iyh1w9p1NQZSQRXluusFQ/fYWrKzJ+GGEGIX4YZWnwPwP42XgUL/C5QpHFn8hKeRRRnJDTZAxVwmxHiGn282eKGgNPP7RuGhMdP8oyfsZW8XH6c6Oo0ShkTq6ufbhaI05STNsHWeSg5+AF0SFn2PjrIMycDgVNRRKzac7RD5exKNryQ0w3ppsELFfPztapFzQWSwZ3hSGmF+KGEWstk/mSTi2ncmOhxEolh+MOsb0EQxMo5VSGbsTQ88lpKqbvkaZwYHpokoQoCuyP9E1Hj/HaXJFPtnvs9j1ML2Kx/Nk+ZOfLBj03YL5sjGo0JDRZRp4SS8uSyJcuVrh3MKRtBjzat3lpoUA5pxLFPvtmNl7/LC6mnyaOntTHZGjzaxf57777iO/d6+JEMff3bP7NH3xCo6CTP3IR4EURzZ5H2/JRJIn5qspXLtX5/763jeXH5DWJr6yebe//v/3Rbb5zv02jqHAw9Fnv2kRkIsyXFgz+F288vyqgtbbNvukRRXHmbNKfrJH2By7vb7Qx3ZhGXuHlxc+eFwQn10Uc+zdxwnbXxXRDLD9GkkQcP8KPY4qaQr2gHyMvfS8L6lREkWpBzfqwRqRCHt2elGP6HmCirYtGrtKjpGgcvHhSL9YY212b29tDWkOXlOxEOlfUaQ69TGsXxGiKhB1ELJR1ZFFkuXqye+w8OI8LTBIFCqpMGCWYXkjP8YnihFt7ffaGPgKwUDKYKWos1w1eWahwY/FkIj/9fMiiiCxkF0E/Kxqfn42F3Qt8bjhPQ/uzkiJZEtEViZRsF95zAg6G2dro5bkSCxWdgpbVQixUdBpFHUmERwcWcZSwWDIo6DLTRaPTZaZjiKIAgoAfxLTskI7tM+0M65jZ15IkEibZOLqWV09cX2XJpupIq5DJpeP09Mc91gZdnCmyVMkjCQIk2drKi6IJQbtYLyDLmbNru+MwV9ARSFFFmYWSiiZDGMOnO0P2hw5JktI0Pe7vm8fuM4oT8pqKIKR0LJedgUvXPtmKexYaxexE0yjqREm2QqvnVOIwOVRQOl8yeGWhjCikdByfKEm5MltAlkUGbsD319p/LT8odVXm+nyV//Pff4v/4y9d5sZCEVUWGLgRay2b+80hD6b+2+lm2VNlQ+H6YoH/5p1LBFHKre0OAy+ioMlcnT2dQGz3TP7L/RabXYt3H3XZ6dmMh3qaAF+9Mksl93zWC14Q8el2f9QVJ7NaK3ChkRH4KE747oM2zb5PkiTMlXIsndDJdl48S/5Lz8k+W7wopqTLOEFMEGap7rPl46nCQze7YNEUidmiylzpyfPTHLgcWNl7+6hja9zWbvsRaSqMSkIPI0pjKoZ66oQmihNu7Q64tz+gbXqkCaiqSKOs0XeerLlySja1JRU+87RnGuf5PdSLGo2iRm5Esh8emDzYs/D8rIm9Uda42ChSzxtcrB/PLzoJSQLKc6yf+auAFxOfFzgV02F8jh+d2Pv0tJyf09AoaGiigC4reFFwaHU1Pc2YL2dff7TVo2PH5DWPgi5jh9FEbDeeDI3LQSEjKotlAy9I2eyZeGHEnT2Tm8tlNnuZjX5v6JHXZEYVXfijlda0M2T8/3EHlyhk+SJulGmBztL5zJcNWkMPVRUQRAGRrDMsJSOLY6FwtaCx03P4eGfIldkCjaLO/sCjWNAp5xyag6zXRxWzDyFDk/lwq8f1ucNriPG6a6tjIckithfTsTz2++6Z4+yjv/OZkk7fDpgp6RR0lcszeR4eZFOr+wfmpKBUlkReXS5ze29A2wz4eGvATEmnaCjECbz7uMfleoGfuzZ76D6OPr9/VSFLIv/7n7vKK4tl/mwkWk7SFO2EgtxqXuPaXJGfv95gvmjwf/2jO/ScGEGEK2doKAC8KKVvu3h+SpqAoYrEZM+RIsNvvL783J6rtbbN/eaAztAb6TwMVirZCXCjZfLjjQ4hUNIVvnq1znL1s+UxRXHCVschTtJjVvSjGBMkdSRwLmgKqiySU2VUSWS1Vjh02+bApWW66IpMNadyoV44tObK1mABmiRxVS4cu9+O5RHGKXlVOUbIxhckJV1htXEyMWgOXO7uDug5IaRZrUw5p3KxUkCRRNp2iCCmRIlAPaegytJPNO15GvwwOiR8Hps34jjh/v6AjuUTpTGNYp6ZgkE1dzqpO4q+G5JTJQo5hcXy5/cYftp4QXxe4Ew0ChrRqFhTkUReW65M/m5soQ7idJLz8yxvjLlyjnrfZasX0La8Uws158sGe32Prb7DVtdhuZ47JGaerxgTYkIKlh9Pvo6BruPj+DF3dwfcWCiyWDImP6toyPhhTGvoo8giuixlK60gomI8udIcO8VEQUBWIA5TWpbPdtc5VecTxQmqIqEIAlGUQJoSjgoTx0RvLBTe7jhYYUjLdKkVNAZuSOynXKwXCRObrhVg+jFJ7FAyVB6rMnf2Brx58XD1wbW5IhttiwPTY7fn4QaZpuikNvXTIKSgSALJyG52qZGnYigcWAHNoX+YmI6mPu/6XcIoxnZjyppM34toWy7/8cNt3DDml1/JVjVt02erawNZqezzaG//vPHO6gw3F6t4YXRmno2uZkLZP/hwh482u4RpykJe46uXa6euuaI44d3HXfKagiXHeAnEU2YBQYCi8Xxs0F4QcXdviJ+CoSq8NFfkpYUijaJGFCd8+8E+Wz0bCXh5scg3r8+e+3dzkk5mu+9ACovV00+y0wF5tpdQ0uVsylPUaBQMlmvGoQuLKE642xxi+xFhEHFlpsxyNXdonTWe2JR0+dj9ti0fP0mZL2cXHMu1JyfzKE5Ya1kM/YiyfnIh6oRYuZkrTBBFJDFBlwTmKgazZY31jk0cpzhhxKqefy7TntNwZ3fA3sA90THWsX0e7Wep24YiM1fJHKXnJWLjx6rIIuWczMo5J0R/HfCz8She4HPDOM1XEFL6TnBo1TF2fT1LM/v0bRcqOo2ChohAx/I5GB5fpY0/UFfqOSQxWzF1LJ+u5dOxA7Z7zmjik73ph17IetuioGUnC0USKRsyCCltO+DOnslCVZ8Iph81M5JgB1k1RpykbPVt1lo2W1370JjccmOaA5cgTJEQ2eu73G2ap64Ax2JqSZYQBfDilL7j07Z8oiSZHPuNhRJXZgsICLSGAZokUs1rqJLEcqPAly9UWSrrpGmCFaVstk0s1+fHj7tsd+1j99soGtQLKnlNZBiE7J6Q+3MaojhBkcRJP9d+383sxHkNIU2P/Z5lSeT1C1VeXSqhqxKtYUA1r1DSRGw34vGBxR/d2uW9x51MVOsG9JyQj3d6/OEne3z77j7bPfszrcSiOMEahcR93tBVmUpep2Cop/4H8KOHbX682UWWRGYLKj93pcEbK6f3co1XT2NhfU4Bd8qJpz+nS9MozqaTLdsnTVMuzRb48uU6V2eyjJ7/6b0t/vCTJkM3olFU+cb12XNXKbRNn/WONXkfRHHC7b0hewMXJ4ifepJtWx5BnBAlSVbv4kWTTIGj7s6drs2nOwOaQw9RzjQ40+uswxObw9Oeaf1OLa/zzkr10GMci5oHTshZH2VrHQs7iAm8GE0WURWZctGYuKpEQcANEwSy6cvnNe3Z7tnc3hsSJWAoErNTF2BJktK1fdqWSxBlU6maoZ3YeXYW+m7mdtRl8dwhlH8d8GLi8wJnYtotJIkcmx5UdIWyLn8m11ejoGHI4onrLmDUoxVkk5eRUHir7+D6cfZhF8bs9j2Wq5kDbFwOankRCyUdWZCwfJeCoaA7IV6QHJr6bHQtuk5AUZdIpnRKfTvMGtOP2PTH1ndFlNgZ2CRkExwriE6dds2XDN6+WOPWVpedoU8QJ3hBQhQ/Ofb5isGbF6qZrTqK6Fg+lZyCQDauLtUKqKrEd+8f4EdZ3tHBwENXFD7e7jN/JJV2uWaw1cvRdSI6A59Hmsmd3RyvrVSf6fetygLbfZd6UUNIsx4v4QRZ03w5O/4gyioy9k0/E4jLIT03QOoI/PndJvNlnYqh0lF9oijFCxM+3u7zuGWxXM3xlcuNc38gt02fv3xwwHbPoV7Q+IXrM595LfM80DZ9vvfogPtNmzCKuTxT5EqjyG+8dfaa6vbOkMdtCy+K8VMoSNKhCIKXF0pU9J9sWtDsu6x3LQ4GGam+OlPg+kKJN5Yr6KrMDx+3+JPbTYZOgK7IvL5Y5csXG+c6WY+nJD3XZ6aQVc1EccJuL+uZK+mcqe8Zr7kUUcLQJNJUwAtD2raPdsRB1By4vLfVY6dvM3RjGnkNUcqKhcdrrqdObKamQXOVw5Ok84iamwOXna6L40c4YQxpRnAMSUCTJWw/RpMhTVIQOSS6fp7ICloDnCBLoH9lscxSPX/4Qs2PiOLMFSdLQladM1WbcR70nICe7VP4GXFzjfFi4vMCT8W1uSLLFQNJFOlYh8WyAzcLAHxWjc8Yc+Uc9aJCApN1VxQnIxHik8kLMJn6REmKJI16hEaTE4CFij76+0y/M1NSkcSsi6iaU0DIijbv71ujqY+IKou4YYwbxth+NDmuo/btaSv8UtVgsZwjJ0sMR4mmZwWAvX6hwlevzNIwVLww4WDgZKvBJJk83hsLZb60XMaQJaIEFss6tbxCgoCIwGsrVV5briFJKW6UstkZ0rM9PtoacHt3cOg+58sGX16tUzZk/Dhmq+vwyc6Anc7x6dBJuDZX5OZCmQS4tTPg050+a22Lja7DWts6ccKy2ijyykKJ63MlFks6sixjyCIFVcaLY9Y6Frf2BlRyCm+v1vj6lTpLlex3sNN3eXejy1882McLouMHdARRnK1eN9oO7210+A/vb/L/+M4D3lvrnOvxPW9EccKPN7p8sNnnwHKYq+T4u68v87/7+UtnnvTee9zhP97axvJChlZIEkNKeihA8X/59oWfKLBwo2Xyo7UOn2wNsouIvMr1uTJXZ7KMpe2uzb9/b5v1tk2aCnxltcb/+msXz92k3rZ8bjf7bLQd+qPal74bkgqQkyWWTggiHWNaB+SEEcVR0OhcWadeOJz2PP639/dMhm6ENnJJXZ0pPLlQesrE5qxpEJxf1Hxge3QGbpb6HkNek6gXdYIowfRD7CAijlN0UTpRD/a80HcCFElksWwcc2fFSYooCAgZ30EQszX9s6A5cPlgs0t76ONEyaFQxL/ueEF8XuBc0BQZyw/YH3iHRtpHNT7Pgul1lyyIx9ZdfSekOXjSBzUu/wzjhDhOWSwZIDDp7hpPhcbfExLIKRJ9Nxh1SaV4QcrjfZOKrlDQZHKajBsmhEnKwAlPdahNOrtGVviiKpNTMyJ0tN/rKJared5YqVDIy8QI9JyQIE4p6BLjm8mSyNurNYo5iSjJpiGvLFQo6CJeFJOkKa9fqE3sqh075ceP2+z0LT7c6h0jDI2Cxmq9QL2gMHBC2kOPvXNWSciSyHIjRzgSb//wUZetroUdRByY7qk/47WVKl+7XOfmcpWlSp5SXkeSwXJC+k7Eg6Y5mYy9slTh115b5Bevz1DUZTq2x1/eb2cn4Y55JgGSJZHZos5sSUMQBewg4f3HXf6ff/mYP/5496fuJIvihDiOMRSR2YLO11brfOXq6RMTL4h473GHP7mzx2bLRkhiYhF0FZSpm0jAzZXKZzomL4j4ZKvHDx532O7ZJGlKJSfz9oUq71yqTXQ9f3pnlw+3+0RpwkJV57e+fIHlEwIyT3vcH2322Ot5DNyQgiFNCEpelZkvG9xYKJ8pas6Iik8YJVmieVnn9eUK1+aKrNQOa0o2ezYHlk8YxsyWdeoFbbKqGk9swig+cWIzmQa52evq6DSobfrIgniIFB19HTUHLnd2hplzyw0RRAEhSSgYMrVcVpTaNj0OBgFhkpLTpc+VLIyjAlT58PPbtX2GXjS5kJs2n543bDaKEz7e7LN2YONHCXlFYqH49Cyqvy742ZpfvcDnhrFbygmjQzUIn1XjM0ajoLFQ1GmVcgw9f7LuGl9xHZ28NAo6AzcgiLIPFskS8MN4IoxeqefYHbr4Ycyu6VLSVfKahJiKdLUAN/Qm1vZGQadn+7TMrKRUVw87I46ToMwKH0YpJU1CVSQcP+v7aQ7cU08YUZywXM+zWM7RHoZ0bI9W32WlmukCxs6wiqFQ1lVs38MLYhplldmiQVcIMN0ITRa5NGtwYHuEAdgh3NrooMkSry2VDwmddVXm2lyR5sBFkVyiNM2E4UeEoKdhvmSwUs2NsosyQbaYZuTwh486/PLNk3NlLs4U0RSZelHl+w9TwjilZ4bs9hx+tNbh5lKZX7oxPznGNy7WCMKEP7i9R9fy+fb9Ju+ut7k8W+Tnr83y6tLJJ85GUeO3vnyBel7hP3y8w2bLYa1r8T+8t0Hb8vjmjTkaoxqVo2GU8MRR9jySpbPnukRBU6gXNG5OGQCm4QUZ+Xt/q8tax8H1Iip5lSSJKboxoiRxaUZna5hN8GI4tm49Dz7Z7PGwZbLd99BlEUORuD5b4sp88ZCm5f21Lt+/3yXwI3RV5MurdS6fYbs/iubQZavnIAgC1ZzMYtGg74bsDl1Is963s0TNWx2HMMrSj8t5FRC4MltguZY/tjqO4oSuGWB5ISkCMyXtkIUdRlqhKKViHF8vTYcS1o70ADYHLnf3h2iSxEwpy8tp9l28KKagKROSeGt3wEbPYr/nkiQJiiRQ0TVuzJe5NFNEFgV2+h5DN0SWM73P2DH3vHFaVEBz6NJzAkRBRBKyXsMkhSBO0GWR2dLZ6c9jRHHCnf0hXhChyyJvrdZYOich/uuAF8TnBZ6KsW5kd5AjSQRk4clVzDjZufgTnECuzpdIRXjYsibrn5PenNP2ej+M8aMYTRKxvWiyghtPhWwvwnJjbiyWGPo+lpuJLJ0gPGRtX+9IJClYXoQ8SpetGCqDUc/XWHM0vu+BFyCMIuqrBQUvjOk5Putte1SkepxUyFImDLzYyLPTc+haAXf3h+haFh53by+ANDuZFzSVKHQYuBEFRWGhrLPZtif23m/dWCYIUh60bHp2SMtO+GijzWLJYKaoHyJf1+aKDOwAWRZZb9l07dOdcycd8+sXqjhhlnkUJAqCmI3Q//zePpW8wusXaifrmirZCa+kKfQsn3Uxa7E+MD3+9HaTxYrB9YUno/mvXG3gBBHfe9zicSeiZYXs9g+43zR5+0KNX39j6cQTqCyJ/OprS9QLGv/+o20eNG3cKOGHax0etizymowXJgRxVhmSpjAY9TlVRjboN1YqXJ0tnJsAnTZNulDLsVjOTsSWG0wmBmPb/52dAe9vdXnUtonCFIEsMyqIsrC9pZpAQZM4MJ3Jz1QB03v66m8aH250+YsHLdwgQZagkVe5uVTmxuJhAvnhRpf/+eMdmkOHUl7l1cUiv/GlpWdyce31MsdPo6DxlUs15ioGH2z0JjqZs0S9YyJietlarKgpzJWeTHBOup0XRZCkGKpM3TjcuN4cuJM29XrhMLE5S78zJmBj+/ulRp625U+I0EIlmw41By7394a0hn5WhSMJVAyFpVqeSzMlFit69t62fUQBLjVKvLxU+tz0PePp1nQNxlj3I4mQU0VUUSNJIU6z9229oHN5Jk89//TJTRQnDOwATZOYzWt8/XL9Z2baAy+IzwucE/Nlg6+sNrCCkIqhHRoFe1E8WYGdVxsAh8XLb65UsbyI5sA7lL58FGNiM3RC+nZIo6Bj+eGhSVGjoJOSUtQVKoZCJacSxQGGJtK2dNpDn/t7Q24sFDFkkSCKsfwQRYahG/LqUgk7jJAFcZIgPX4OupZP1w5Igdm8ju3HmKMco7NEzo2CxjsX6jR7Di3TY7fvkaZtRAEu1Ats9xwqOYXlao77+wO6TsCHm12qeY1UACuIWJANanmV3/zKJb59e5c/v99i4CTs9iI+2e5yY7l0TOi8Oltg1/QQsDkwA/aHHq89w+88Ey138cMEWZBwgxA/Vvhgq48XJFyZL1IxlGPEQZZErs0VefNijebAxdod4AQRj9sm//nOPk4QHyox/aVX5rk0m+eHax1++LjN/jBhd2jjPIxIxZR/+LVLp37wvn2pwXzJ4M/v73P/wMT0InpuyO7AwQ6yNaGYZvoZJ0wgFdAUgc2uzUebXV5dLPPOpTpXT+ikmn6d952s9PVo/9nADXHDmK7jczBwcYPM7SOKItW8SkFXaA99hm6IQOaauzpbRpUl7jQH6LJEJadhuS4b7Ser3isNmWsz50++3u7Z/HizS9cOEASBry7XeHWlfEz0vd2z+YuHLXb7LgVd5UJV5zffXj131hOMQgJNl6KmsDSXaUzG3zuPhX2r4+AHEaaTBRZqT7FYP25bDN2QhJSFisFyIzf5+c2By8OWhSSKzBaVE4XJp1ncxwSMFOZG0547e+YhIgRka+40JYgTJFHAUGQaZYNXFss0Cpm28GHLwvEjqjmF1xZLE8fc54G+E5w43RrrfmaLGkEYEyVZpEcUJZR0hYu1/LlIft/NPlNlQWC2nGPunA6/vy54QXxe4NzIwgUPTwvGK7BnbQIfi5d7TkhfD7i5VEYWxWOrrZMwTmkWEJivaOwMnMPrrqlMn74TYrkxPTuglldZqhi0hi5dN2Rv4IEgoMkyiiQSpYyE0nVmCxot0yeIkuxn+CGyJJDTZLpOQBKnlAyFS7U8AyMgTlI6ZnAo++fQMUsiqzN5Xr9YZ6PvstOx2R/63N4ZIAiZI2S+nPV3RUlK3wl50BrytjFDEGWliaRwZSbPpzsDXlmuc/dggB14BCFstk3ubg95ZaHMauPJumJMFFNSWkOPvb77TAR1tVGkb4d0LZ/VmQIt08OQJFqmSxglfLzXY6mc59pckUujwLfpNdLLC2UeHFjYfkjfCXD8mA82u/Td7PGMNSyyJHKxUWSpmuerl+p8+94B333Uxg9i7jUtPtrs8valxqnHuVTP8w++sspOz+b+gclaK0vndfzo2MQnSTMBsR9l9vofrbf5dHfAbElDlp5MM/NaVtfhB3Hm+hOYuNrGa9F4pA1zwpjdgUPfCnDCGFEAQ5Ep6jL1vE5elVAVgdVaiTcv1lBl+ONP9zkYeBi6gpRG3Nu3GQagAHM5+Ne/9eVnmkRtHNgMnRBdlri5UuIXX549dvsoTvj+wzafbPfxopgbC0X+zuvLh0jo0zBNNOp5iYv1bEoy/b2nTXvGvVxRkqBI8pkWay+IuNc0Mf0sj2apakxCDY8GFl6ZLZxYUQHHQwmPToLGx3yUJPWdkIcHJpIg0MirKJLATF7j6lyBSzMlwjhmrWOzP3DxooTVRokr84WfqIn9aajkFLwoPj7dmtL9rO0N8QJIgGT0WXjez+btrgukqLLIzOeUQfRF4gXxeYFnwtEMl+Wawd19BduNGdjPNpYHgb4bTOzn58V0f9dYwDy97hqHDfacgFRIKOoKHdsjiBJqBQ1dlbD8kM2Ow+WZIotVgwPTwQsThl7ITs9FlLI6jaEbIorQMgOCMKaWVxk4AX6UktdkLtXz7Joi9/aGBHFWKnpap8582eDrl+uYbsjvf7I7yiLKhKFxkvDowGK1keNCLc/QGdAyQ5wwoGDIDJ2QZt9FAGaLBn6c8spClYHTpmWFHFgJf/HwgFJO5e+8Lh/68G8U9GyNMvS43zJZ2O7yK8WFc1+NvnGxBinc2x+yUMlSnTe6Dgd9n4Kh4Pkxjw5MyobCSqPAtbk8q/WMfN1cruAH2YTk0cGQ1sBhu+sSJhkZ2R04zJZyk6C6MQH6h9U8CyWdb99vEScxH271qOTUM7u/psnTL1x90qp9ksZn4IR8uNPjg40+zaGLGYTY7ZAgyf5eFATyuowiisRxiixlV/n1vEIpp9LI6xPHTlcLCOKEgibTznnYfoShSCAI1PNZEW09p1HLK9lk4MBis2PzuG2iyRID2+XxgUmzH2FIsFyR+J1ff+3cZCSKE+7sDrh/MERXRC41crx94eRusI22xUcbPdwwoZZX+Mb12VM1Safd1/RqKEsa1/hgo3cm+Zi+/biXK0kEVFkgTYUzLdZty2ev5+AGMTNlgxuLh1dI00TlaPbQ0yzuJ5EceEKSAH680eHBvsVmx8KNUqqGwrX5Ei/Pl4jTLMh0v599vlR0hZmiRlk/vUz0J4UsiWiySE6RRhU64uR5Gut+wijm1v4AO4TxpWSUpucOmTX9ECdKSVLQPqN+868yXhCfF/iJ0ChozBUNHrrDZ1p3HdXr7JruiY6qoyLjaa2NLIi4cUw1pzFwg0PrLsuNaZkeAjovLxaxghBZEJGkrHQ1cRMGTkCjqNAoaNTzGs2Bhx9lBEqRBXp2gCKKzJd1upaHH6XoikQ9p7FreuwPfebLOiVNIUkF7jWHeGF8poB4uZbnb9yYpWsH/PBRCz/O7O2beYXFSp68JnNzqcz9pkkYJ2z2HBo5je22Q9+LOLB8FqoGu0OXNy82ML2AHzzuYLqwfmDzX+7uYagS/81XLk6mL8s1g8uzRfatgIEdcndnyGsLZ7cyH8UbqzVmihrbfZdbOwPmSylWEGF5IQcDj5QERZb40VqLC/UiX7/S4FsjEfPbl+tIosD3DYWPt8XsuQxT1toWPTugYGRrxy8tVybTKlkS+RuvLOBHCZ/uDnncskmFA/pOyOsXqmd+EMuSOJnS6Yp0KARvTAYKhspcxeCNpSqf7PVZbzmst0z2TR/bywi07UbIooAkZs9jkoeirpKmGak2lIz4BHFMEMbUCxo5VUQWs+mSIMDA9XG8gL2+RVFT8KME04+I4hg/THjcH7Df87FCkCVYrir8n375Bn/71aVz/V6afZdHbZP7TYsogXpe460LlRNff9tdm//fx7vsDBwkUl5eqHFj/nTX1Uk4uhqaLxuHVlzTOp3T0HN8REHECsOReDs9dTrSHLj84FGbjuWTV2Uu1nKHKiyeVjFxlqj5JJKz1XWy6XBOn2h7Hu6b3DsYst12gJQwr2J7EYokYToZKWtZ2YryykKRl+Y/H23P9HNyYPnIoziOMZkfJ2ArUuYWfbQ/ICFzB1byGqoknPt3HcdZ0rymSCiieG7C9NcFL4jPC/zEqOayN7kTRqx3rXOvu6aFyAcDH02WDhGd8WTnaLDhWGvTMn2SBJZrxqF1VyWnHLqtLIiT1VVZV1mtF1Bkl5yq0MiPQhQVBUUKSdKU5tDjQs1AlQWc0bRitpiFJ+4PfS41ctQSddQin5DXZESRUUBYwsALacSnPwerjSJvX6zSHHo8bg3pOiEfb3SJE9BkiZcXClydK3B3z+Txvs3FWh5VgTCK6ZgBry1WJmGOry012OzarMcetp9d0f/gcYdXFksTl9d82eBrlxs0hx7390z6XsjWwHmmGgvI1klzFYOiLvPwwKRjZaur/aFLc+ix23cwg5i2GTD0QvKqxFurmSjyjdUa1bxC0VB42MpEopIg0LFd3CghCmNsL3P43FyuTEjbly83cMKY9ZbDw6bJ4wOLu7tDfvnm/Kkn2ChOsPxsldm1PFRZQhZFKjl1UpMx/ndzFYMoTbLeNdMjTFM0NZvyAJNJjyKJlAyFOE7oDH2iUUeTAARJihtGaJLEwAvQFIG+HbLbdtgYOFjuKJsnBU3OrsA1OTshCYJABKgSzFc0/ttfuMJvvLFyrt/Hdtfm3fUObTObODUKGq8slLg4c9yZ1Ry4/I8/3uSHjzvIkshLc0X+9qsLz6TJ84JokrszXg09y4oLMiISRDElTcHxIyRJIE44lDo8RhQnfLjV44ONLi074MpskZfmnpCKp05zpnKCThQ1dx2G7uHbti2PthmgiJk134tiwjjBciPcMEQSJaIgQhCgawd0bZ+O5eOHCcs1g0ZO+1x7ucaPqW16GIoy6SKL4oT1rs3uwGOxbNC3I1pWREK2Or3UyLP0DAGfdhDjhRGKIBxrsP9ZwAvi8wI/EaYdX30n4mAQPJOGpFHQ2e7Z7A0iSsaTJvi+Ex6aCE27kaI4KxP144ShG3KhlnsieB7tsce3zT4QLGRBzEpI44TLMwVML0TXRCw/Zq6cY6bk0rbdTPfhBMyXNSRRJEoSmgOPhYrO7nAUrpikXGsUOLB8+nbIcs3gpdkSuiThh9nJu58PzxR3Xpop8Mpiia7p0TJ9olhkb+ByqVFgr++xVDF4uG8RxDHNYWbLN93seeg74cS2Xy2ovLZSo2/t44cxTTOh0hry4VafGwvlyYRjvmzwzoV6Jih3Qt573GW5kjt3Zsv07/uVpQqXZwr0nZA7ewPKeZXZos52X+NRa8jQi9lsm/ynj3fo2SGvX8yqAS7OFJEkkblS9jvvmAHNoYftB7QGGXm6szdgt+/wpQtV5ksGjYLGVy/XMVSJHzwK6Vge333cwosjfvHlOVbrx4PoAIQ0xQkiLC/GCTL30XrHJE6gmlORxFFwZRQThwl2EKEoIsVUYb6kn6j1UcUsvkFIwQ3jyZ8tP8TyfT7dGXJ/b8BuL8CMjx0SQFYfQJatYmgChpxZoq/PFPj7b1+YdJo9DRstk4+2B2y0MxfY5dn8oYnZNKI44S8fHnCvaY3qGiS+fmXmzLXhUbRNn4etIWstB00WWaxmE5FPtgfnWnGNj8MLY2oFnSB2URQRRZS4WM8dSlEeY6drc2dnQNP0kUWB2aJ6aKoznjT50fFpDhyeTp0kto7SGAFhEnY4JmWKJE7W1bt9l47tE4URhqagkFItaTSKOnMlDTPwyesKYRSQV2WKuvK5TnvG+ijXT6g0tEMk0PZCwjjFDSJ2BzajPEkU4Nps6dyZQlGcsN6x8cIEPaewXP3ZEjbDC+LzAs8B82WDty7UeG+zl+3we865LdMzJZWcqjB0Q4ZeZuuu5UW2ew43l8rH9DtP8CRTZ6bgTgTPY0xXXOz1PIqGguVH2F5ETpNI0pT9vsdW32ahnJ1g5wo5hl7W/eSHKYYqZaLVvsd8WWexZDD0Q+IE6kWNXdPF9GK2uykrtRxxmvDwwGSr55yp9ZElEV2RuD5bxPZCvnPvAC+KMtG146PK2Qh7tqSy2/ex/AhDEXDDTEvz4VaPX3ppdvL4LlSKLNUsWvaQAHjccvl4q8f1+SLfuDo7uc/lujG6Ggy4t2/yJ5/u8WuvLT3TVf8Yuiozr8qTjJO+E/Lhdpe5ksaDfZOO7bPdc/lou4coCVmWUS3Pci2PLIpUcypbXQdZErizGxJEIZvdgAMz6zK7vTdkuWqgSBKKJHKhmke5IvInd3cx/YT3N/psdBxeXSrziy/NUTGy53q/73L/wKQ59PGimIGdxRLUDJlUEBh6IUMnJE1TgiTFj2KqhoogwPWZItfmS2e6u6YnBrIkcnd3wJ/e2eMPP97hfjvgqDRfJDvx5HVQRdAVhVRIM1dQUef15RrffHmGVxdKT01o9oIos8bvZmndHdvHUCVmSxpvXaidSmL/4sEB373fYugHLNXy/NrNeX751fMRrPFjvbc7YKPnZAWiJY35sk7b8p9pxSVLIgVNYaaYrZkXKzmEVODmUuXY+2S7a/PeZo/9oU2apixUctxYLJ/o5Krnj7e/H532HJ3CPAksFFkZPW9eGFPOqRS0lIXRCu/29hDfj5EVmYqSkFclLteLVHMaRT3r5WrkdQqqQslQnqkO4lkRxQnrLRvby4wb5fyT03ffDYnTlIIqEycpm1178lrUVCgb6rkzhbLMJJ84SVElgfnS+Sb4f53wgvi8wHPBfNlgsTRuUHfPHZS3XM3zykLAveaQMEkw3Yi+GyD3RRZK+iSwcHrdNa3z8YKYh22bNIXZkk5ldOUnS+JkKhKEyaQIIIgSnDCmYwVYfkSjqPHaYoXlSg7Tiwg7MaIIqizQKGhs9Rz8KKZl+qzUcmz17cwt5oaHusHmyzrVnHpI6zNf1k89Gc2XjSx3w/So5VTWexF9N2L9wKSsKZSNHJdnikQxtE2XvUGAFwREsc6d5oAb88XJ42uUNF5dKrPRtTkYxvgx/OjhPn6UsN/3+F+9c2HyXH/lUp2dns1u32O9bfOoZZ57NXkSxiupeVXmV4oL3Jgr8f5Wjx88bNN3M6G4IvYIoieRAOOcn/lyZgMeeCFiH5yeje1m/UN9J+DjLRFFlijqErIgIghw0Pcw/YhUSBk4GqYXsNd1KOU1EiAOE0wvJExTJIERwYnZt2McJ8CLs7ykl+ZLuGFm9W3kNC7P5LnUOJ/V1wsirCDg//29Tf7TR5vs9GOO1tSqQFGDGytl/s6XVnh5ochqLYcXPWl4l0URXZFPdF4d1VTcbw5Za1tYQYLjZ7EJpwUTTuPR/pDvPejQdwLKusLPX2vwN0baq/NiLJx2w5iL9QIzBY3tvkPHDM+94hqjUdSw/IA4SU4NORzrej7d6eNFWcnn68vVQ06uowLro58106Ts6LSnOXAzl5YoTgILZSnLU2L0OdIoavzpnSb3W0N2+w4CsFg2qBZ0Ls9muT1emOAFMUEUU9AlcqryuTq52pbPvuWhKxLV3BMiMy6FtbwQXZIQgN2uTUw2XSxoMppy/s6wtbZNy/RI0oRqwfiZs7LDC+LzAs8JY6Jx92CI48Xc2umf+4T62kqVki5za3eAF8YMvJCcInNg+cyUNDZ70rFJ0pg4fLTVw3HiLKOifjica1pDFMcpOUWiG2RW44IuY7kRzb5Lx/RZqecw/ZAwzqzv222bi/U8BU2mZfp0rIAbCyW2+lkD/HY3Zb6ss9nLkqNbps9MUZtofXq2x/2meWqoIWQkYKGc48pckZYdEEYxQy9GkkRkOdMVSSL8xX2PNEmIEEiEFMeL+dF6l5+73JhMfS7PlvnyqsuP1nsMnJiOA++vtUb3o/Nz17LJz83lCnf2Bnhhih+mHAz9Z85fOus1MF5nAWx3Hbb7Dps9F2+0Zlyp5Fio6syXjMn0p15U+WSjT6Og0Rx6+EHM0I+JohBRgGY/JUpi/DDFCWMcPyGNQZRcyobIPcMkr8vIkkA9p+GHMaoiIcsCrp/QGgnn/SRFI6FtG1RUiVdW6qzOGlR0BV2R8cInrsTpP0MmHG2aHnd3TX70uMWDvR5tG0KyhGWyXztVDf7uG0v8+hvLXKjpFFQVXZXPfB9MhyK2TZ87ewOaQx9dlajoCkGUvfZtPwIB8qpIyVB5ZaF0LJhwGs2By3cft3jcHhAncKGW5xtXZp6J5K63Te41hxPh9MvzRVpmwOO2TZSkXKjnuDJz9orr6DGtd5xTCVMUJ7y33uGDjQ4dJ2JuVGHx5Uu1yX08TUx9aKUWHm6HH//dWI9XGP1uJoJhQcRQJbZ7Np9uDejYAUMnRJFEhn7ExRmJlWqOi40c37l3wGbHQZYklmsGtYJ6arnpT4rp0MJqTuOti08E7FGc8HDfZLfvslQ20GSRthlkHV1AtaiAwDEyfRK8IOLHm53MHSZLrNY/H9LjBdFzSU3/rHhBfF7guaFiKJQ1hYETsNFx2O+753YOLdXyHJgBiiziNi3COJmQjfHJPVs5PamGmC8b7PWzKZMTxOiSeOyqZjwxcoOYoqGgygKSkJVnCkJK34vYGji8c7HOTF7jccuia/q4esJm12ZmdHt/1Ft1dMozvYq7sVDipdkSrh+zM7BZ79iUDOVUAihLIlfnivQ9n92+w3bfY+gFHAw9VFlAlWXKOZWX58tECRhBiKHK2H7IowOLnCrx+oUqQz9kkIZ88+VFSOCT3SH7ZoAdwoO9Pt+5d4Aqi7wzysF5eaHC/sBls+uy3XMm4YnP64NoTGgelUzYENk3XQ6GPiImO10bRcwe98uLJZareRpFjaqhsta2MN0sd+dhy6RjhQgiOG6WjdOzfJwgIo4gEbKpih0keJGP6oXIokh76GNoCnk104rFSZJNkZIU348JEzAGPjtdi++tt5ktGixUsmoON4rJaxJJDM2Bg+Vlrh/bjxm6mYA4jMCNMsIzXqzqwEpN4htX5/iVV5f42hk9XUfR7LuTUMQ4STG9KAt8DCIkAao5BUUWEcWUnJZd6V+eKTJTUs9so4/ihPt7A+7umlnpbUXnF16aOfdVfxQnNAcu212XJM2O4+psEU2R6Nge4UhMfXWm8EzdXk+b1Hyy0+eHax0OzICyIfPaYpmvXKpP7uPoiuukSdN4pbZQBl2RDhGj6clOvaCNssmOpDcLOT7ZG7I1sOkNPbwwIhUU/CBmvMjywojdoYsXJBhqFn+wOJpmfl6YruQ4SvbiJAEhW4fvWy5WkCIBhgSvLFW4UDvfRK5t+dzaGmAGMXMFlbcu1J47Qbm906drB8yWdK7Pn19n9jzxgvi8wHPDuB/qwMxO3HtD79zOIVkSuTRTID5IKBsqQRJNRM7jlU7P9vloqw+MTq5T66y26XFrFyRJnHxITouc4zjNwr3IXGOKLFHJq9h+zP09k5VyjmJOoVZQubUbY1sx9/aGLLxs0CjqyIJIlKTMFFU2e5lmZafnTuotpo91u+8wcEO6dnCMrB1FJaeMBJE5ek6IHcTc3R8QpSmNgoobKLy6XEaRM6Gl5WWFqE4UcWdvyFxJ59WFMts9hwcHFt94aQFFEflkZ0hr6GGHCe9ttCf3986lBjMlldlyDidMsb2QT3f6pCms1HNP1WmcF9O1FZ/sDOhYPl4Yc3t3gCgIbHQsmgOP11cq3FgsTwTTsiTSNn1u9Et0hj6SJDJ0w5HOSWKnbfP+TjfTfI2YhyCAJAhoikScpkiiQJQkCEKaBQnqCnKU4IvgRglJlDJwYsI4I2R39wdY7ijhWYAgirB98CMOaXbS0X8T7QSwWIG3L83yi9cWePNS9UwyMo0oTtjp2ny0PWCv7wKQ1yV0RaKQkykaMnldoTIKCD3qSHvaBOnWVp8fb/Q4GDoYsshKrcCVRvGp78UozmpatnuZg1ESYbFioKnZ6/+jrQGSKLJaz096tc6Lp01qNlom7z7uMPQjcqrMq8sVvnalMbmP8xCnMRpF7USN3XbXpmsHgIChShOCN31cYZpwf2/IwI1wwwRREMjJApW8iiRKmF5IFMUMnJBEyCo0DEXCC4+vKJ8Xxhk9J1Vy9N2QgqEwH6YIQspGy2Hc8VsrynxpsXZmWewYUZyw0bKx/Cx5fKlamCRXPy9s92w+2RlMilMv1HJfyOTnBfF5geeKcT/U7qiWYbl6/jVKJacgSQKaKrLfDSlo6kTkPFfQs8nKSJg7XiE1ChqaJGL5EU7byspSp9ZL0yLntukTxglOEBGGCUIWIcL+0GPXdFkoG0iiSMXI7rdl+RyYHoslg4EX4gYx1+aKEy3T2NquyE9WcTeXyixXcvSdTKg79AIeHVhnrrxyikLZkNBkiaGX1UrU8xpXGgXiNGXohFyfK9C1PbxQGoWXyQy9kHfXugDcXKqQprDVd7i53CBKQJUlWkOX5jDgew9biEJ2vfrOpQZvrIQUNImBE5HXZbb6DnYYTUTIzwOyJPLaSpVaTmVvmGmK3DBmr++y0/cQ6NO1PHpWwPXF0uREOCZN05g+oVheQJQkDJyIu/tD2mZImCSEUebOKqgysiwSRQlJkqKqEkGQ5Tr1HZ+hG+AGCV6S1Q+kSUocQRglyAoIqYwnRigiCGJmW49TSOLs65wMC1WVpXqRr67O8M6lOi8vnL+eYKdj8+FOj2bfx48iJFEkr0vMFQ0aBZ2Fij4Rax99Pp+GtunzvUcHvLfeY6/vkKYCq7UCb1+qPnXaM3ZuHQyy5xcByqqCrojYXkzHDkCAmq5y5RkmPZARjvW2feqkZixmbpkuJVXh8nKeX7kxf+g+TsoQOgtHn6/mwGW9bWP5EQVNRpelyfcmIumSjhtnjj1DEjE0CRKRakFnpZqnlteI04R7rexiKq9KRGnCZtclpz3R9zxPAnRaN9f03xmyiFE1COOYna5FTCasnynpFI7UdJwFJ4qz8E4lc9s9T1Iy7hJzghAQqeXVL2zd9YL4vMBzhSxl/VD7tn/Mhn6u2wsSkCKkWXpoRp5yXJ0rgpiy1nIYOOFE7wMwVzLY6dlsdj20/SG1nDq5z/FUaOiHmG42UWn2XRoFA0UAQYppWT5rB/YkH+egkmOv52IHEXd2BuTVLIW3Y/kUdXkyZYriBCeImcs/CTRcrmZTHzuMkGWR3a5DECWnrrzGU6lXlioEYULPDTgwPSqaSnoxJU4SOnaMLAnMl3L0nSGiKFEtZiSxZwcT8rNSz2OHEQslg0ZJpbHW4XbTZLNt03YCvv9wfxK6986lxsSSPr6694L4qSTts2Cc/7NczVHJKTxsmuwOXVpDn5blcmD6POyY/I2X51iuHq69mH6exqjks5TvRhEuNgqHEpqn//10E3sUJ7Rtn822w0bHYbvr0HE8dEVGAAZOQJTECIJAzwrww3BCnmIEhDRGVRQURWK2qHJzscZbF2vPVHDqBRF3d4f8+b0mG12Xcl5hpZLjxlwmUB4HLX7WE6YXRPxorc13HrTYbGUn8wtVnZeWSodC/07CWCcy1u6UcwqaJBLGCfuj4ktNFpgtGs88GRyTnjHhWG3kD72+trs2P1rrsNG2yWkqL83n+NqV+iHSM3Y0nacA9bTHN9b2jI8BgWPHtVTL892HB9h+RMlQWJUKWH6ALmf9bn6UjMpIQ4qaTEq25hIFJnbxrIPQp2Jo5yYcT8P+wDm1eb7vBHhhnEWDdH3s0UrOUGCpmmehev5U/KEXZkLoQlZu+7wx7hKbKRhf2JoLXhCfF/gccCiYcHjU73I6pldTlbxCzwkoagrbPYc3LlR5Y7mKhDjR+4ynSQsVnWpH596eyYNWRK2g89pUDP9YCO2NOpd0RSaKY/KajB0K+AmHRM7bfYeFqkHH9Ol7Iff3LRoFDVUWWW/bLNeMJ1MkK2CxolPLq5NS0+VqjqszBQZuyL6YnTyC6Hgq9dHjGzoBt/b6tMyUxx2LDze6WZ2AAH0noprPLLNRnCCLEiu17Apzmvy8PFdib+CyqORYfENncbPPn37aZK01YK0b8Se3d3GCGFWW+NJKdWJJbw5cPtrq0bHjc8cRPAtkSZxMcq7NFvhoe8CtnT77Q4/9gceB5bPTcfjK5QYvLRZZPqf1dpokPW1C4oUJdhDjRzGikFI2VBRRoKzL5BSRIEmxg1GfkZDlOPlhTNfySZAoqgpvX6zyN28uMF8ynkp4xsQrihMetyzeXe/wqG1jOSFxHGNIBu9cqHFz5bid+1nR7Lvcaw6z6ohhgK5IXKjrvL3a4Mur9acS2Z2ufUi7Uy9ma+CBE06mPFdnyodKcM+D7a7NowMLN4wn5GKa0EyTHgSB1XqeL186bs2/vTfgk70+qijy6pSt/bw4pu0pG6x3LCRJPHRcGy2TT7cHNPseYZogkFLQVcIkuygBETeMsIOYmYJKQZOzMtqRywqy9OeW5TJTiE+NtHgWPNg32e67yKJwbM01RpykDN2QDze7DJwEEajkZG4uVp7Jxv74wMLyfApajvny01vcPwvCKEGVv1h7/Avi8wKfC8bBhNu9mPvNIa8sVc55u2w1FUZZEOCTqU9GcqanLeMT9HjdFSQJnp9g+cdb0scfpO9t9kBI8YOExWqOluXjhiFDX2XXdCfW9r4TMHADLC+gaynU8+qo4ytiu+uS12RqeRUvGPV5CQApbhBPXGeLJY80yWoLJFGgbfmnXikv1/JEScInO4NRbH7Ixzs95ioGK7U8hiIzU9IoaAqf7PRpWz5GLXOXwBPyEycp9aI26Rb7m6/MI4kC/913soTb9Y5LyegyW9G5PlecOI6mheL7Q5/tnn1iGN5PirHzS1NkFqo6D5sWt5t9mj2Ph22b3YFL44HGa8tVfu5a1rr+PD58ZSlbYTYKWU1CJadOQggrujJpWA+SZNItNi4obQ29kQYtzzevz57oIjo6bWqbPlt9m51u1sXWtXzMICIOY4q6zKVGhXcu1Z+pJ+s0bHdt/vOdfe7tZ8Wfc2WdxbLOly81WJ3JP3U6c2d3MNF5rdbzhHHMdschTSGnSZ9pygPZaum9zR5dy2e2qH1m0rPdtfnBww49L6Ce0z7TCfmotme/72K6EbossdDInqMsCbubrfuGAZIoICsCxJCS0rN8giAhFQSqOZViTqagKqiSPHFZRXFyKP35J4UXRDzYN/GiGEOWT064HvXLPWqZ3Nszs7RmCV5aKHNj6fz1Gbd2BzzuWPhxlgdUMZ6/Nb/vhXTskEohfO4/+1nwgvi8wHPHOJgwTsDxI9baFpdnzrcSmBYsH536jEnOtMtruZp1c82VDAwl06wcDLN04/kj9zcmI3GSYokhbdsnryk4ekgjrxFHT+5/u+8wX8yxP3TYHdgossjLauYWsfyIOEkpGwq2F3JgRuiKSEmX6Vg+212b5Vo+E2unCaKYsm+62H7WSH5qj1c1z9sXa2x0LB7sm+wPfT7c7E4ygkw3c5L5cZFbO0Me7ZtcbOQPkZ/3N3pcni2M0q1T8gOPX39tnj+/18Tc7GG6sN2xubXT59ZOeeL0Gj9uO4w4GHj8eK2L6Ua8tlL9CV8NJ2M8/XlzpcatrRLfvrfPWseibQeYfnYMm12H63NF3lqtTgjQNMGAw1qK0/48iTcYCV5Puu3010dXZOO/O2pL94KIjunzyU6fra6D7cfkdJlaQcMfOcH6brYyg5SiKnGlkef1leozrcjOwnbX5rsPWny81aVnhVSLOm9cqPKNq41zTWe8IGJv4BKPKjgUSaBlhvSckGpO4eZimaXa+SYG0xivpu43TeIkCwScJk7nJT3jyIrtvg2pwBvLlWcmYEdXbaYb0nEygfRMKftMaQ5c/uxekw82evSciLwq40YRgR/jRQm1googSNhhTF5R0CQBWZAQBZHFij45pmkR8tMyfc6jA+q7IT03ODXhenx/qijRdTwGtk8KFHWBm4uVcwnax8/Ru4+7kKQUVInL8+fLtHoWZBofj5btURoqX2j/1wvi8wKfC+ZLBtWcihO4uFH6TC/wo1OfgRuw25cm7qgxMZrWEM1XNGaLOn07pOcErHeOd4ZNn9w1KauIUESYKxrUitlIuu+ENAraZOqzZ9rEMWx3LUhSXl0pT3Q348JSP/YYuBFpCqosTnQyjWK24+/YAXd2B1QMlbwmn2lvf3u1xt7AZeBF7Hdc7u1ZaFKTb1yfo1HUWW/b5PXsym/dj9ho28fIz8MDi4ImUzSUSZHqb3xpmbWmiRtE7JsxH220yOtP9D6QEUMvjGgPPXpOyL3mkJIun9j99Dwwfg7GBajro5P4Vs/BDxMe7g+5vdPnB49bfPP6HEtVAzuIMN3MsmL78aHqiJP+vFrLHxMLjz9wj6Yxn/T/o8RonJ58a7vHR9sD7jeHDL2QOMkCE3NGlkJuqAKiKFApyBQ1lcVqjutzBRp57bmcUMZupD+9vcfDAxs/Tpmv6Ly0WOIbVxvnFh4/blnsD11AZLFiECTpxL7+0vzJvV/nQXPgZhMoN6ScU6gX1UPH/f5m76mkBzJ7+53dISICSxWDV8/ILTrtOKZJz3LNoDUMnljXR66l9ZbN3V2TrhVkfSKqiOWFSIJAQtZX5UcxaSoSyQmKmkULFDR5ojeaTovW5ONp0tM4jw4oihPeX+/gBTG6Ih9LuJ6+v67tc39ngB2AKsNyvcDqTOFc054oTri1O2B74JDXFV6eK/HNq3NP1YR9FtJiugGOF2WZVF8gfqaIz+rqKhsbG4e+98//+T/n3/ybf/MFHdF/3bg8UyROEoyRe+K8H8bTUx9FFtjs2djek+SU+bJxrMpivmTwymKZ7a6N7SdsdhzeWa0f+9ljPc1622boBbQsn7qh4oYRPSeAdsobF6qTqc9iKc/B0GVv6BLEKaW8wvWZIvu2f0jfM1sQkWWB/WFWjDqeUBU0hbwmoysiLSvg093hmanW82WDX3lljp1u1pXTt3zuNi3iJOGrV2YxRifNxUomWFzv2CeSH8uP8MKYi/U8jw4sXl4ocX2+jLXVoefAdjfmL27tookSUZrytcszQFagaroR95pD0hTWOw6aIn+u+STwRAB9ZabIwwOT9bbNuxsd7CBhr+/z53eaRElCkgoIpOR0BVEUUAQBScz+G0WZIAgQxVmztOUGvLeRIKQpRUMliGLiFHKKhCJLWH6IoUhZAWnyRIdVz2ssVPSJ4Lhj+tzeH7A/8GmbLmsdB3NEdnVFoKjJNEoalZzOTEmnomcxBcs1Y0K6ntfV7U7HZr1r8+FGjwctExGRK40Cb1+sc33h9BTno1hvm9zeHSAgUjEURFJadkBeU3h1qfiZV53bXZsfPOrQtUPKhsLlRoGVSp626bPetjmwPPpOSE5XmC1op5Ke7W42MVIUkRlF453Lp9dynIQTBc1wyLo+JgZ9z0cUBXRFQhQE+k5IkmQ/w8hJ9F2fIBIpaQJCmiUig3DIUt8cuGd2g00f18PmEDuKMXOn64D+7HaTv3zYQpUk3rpYPTZBals+232HKEwYeEG23k7BABoFlVPq4o6hOXC5tdEnSVOWyga/8urcme/3tunTsTzqhdMf44m3s33iNKFa0Jgvf359ZufBzxTxAfiX//Jf8tu//duTrwuF4707L/D5YyxUHtdKPKtbKOvO0tnt2VhuSG/oM3BD4jThrZXqoSqLMal6dbnMp3tDDvoeu73TAxTHH54dJ0ARRfpugOpLxImNG+iT9dl4auKEEfUkxfYjHh1YXKrnT9T3FFQFqfSkxX2ciByNylTv75t4Ycx61z5TPLxczfNz12YJkphPtlKcIGSt4yGJLS7OltEGAiUji8dfrecn5OfKbJHVRo4kSRm4IQdDjyCKKBkalh/x9WszdN2AeN/E9WHXSvnDj7dY75jYbjTpb5pO0u7Ywecidj4J0wLor11pcKGe472NLm0zICXF8mNML2Dg+GSZtAmCIJLXFWaK6shdk+U0uUFCksTc2kpoWwFBnNVTkIAsZanYpVxGnpLR91wvEz7rikS9oFHSVRRZQiDFDWO6TmbFtbwEkSwvaL6s8/JCmbdHDq/x45h+TM8TH653+S8PWjxumdmxyhIzJZVvvTzLzeXque9vu2uz3nFI0iweQBSg54ZosshcSTt3HtFJP/ePbzfZaNuoEtxYzFKXoyThR2sd2qaPpkjU8irXSwVW64UTidq4Pd2PYkq6yhsXKrx5ofZMx3JU0CxLIg/3zWOW+p2OTdsMkEWBWl4nSWI6TkAYx8iiiJjG9K0sNLOgyRR0mZwmo8ni5NizKVaXgRNRMdQzXWd3dgfcaQ6QJfHEclWAP7q1w7//cBvHi1mqGsfybqI44aONHgdDLyPuqowTjla0AsyWDbwgfupkJooT/uT2Hp82h+RVgV+6PvvUYMyPd/psdW1Wanm+ee18SeBRnPCnt/fY6XgU8zKvL1dfJDc/TxSLRebnn62L5gU+H0zXSjyrW0iWRFZn8uwNHdpmwGbXZrtrT/5+tVFAkSV6ts/7G72MVJUMXlko0bV82nbAJ7uDUwMUx3qfruWz1rFo5ET6TkBOkdkbuFRyCo2CTs/2cbwQVRS4bXuYXsh23+Xrl+vcbQ4P6Xv6TjARPWuShBUcycVJoe8GHAx8mkP31A8YWRJ5bbmCKAoUFJn3twb4Qcz9lkPfDagVclysZyfZ5Xo25TkwffpuQDmnkjckNnsWfpTSc0JW6wKCIHBppsD/4RuX+f0Pt3l/q4fpJGyZKa27Pfa6FgVd5qtXssnPOEn7qIPup4lvvjTHWxeqDJyQ280hj/dNmqbPZkfE9EL8UEAQIIhi2qYHZEGGiiyhyyIhAm6YdbO5YQSkJEkW3hSGMbt9EU0SyGkKqiwSpylJkhKlKbGVYo4KaQVAkUSCKEaSBBoFhXJO5aW5UpaG/JzWV2dhfKL7y4ct3tvoYIUJVUPh9eUSX7/S4I2L5ycFGy2TW7tDOnZAFKcU9dFESoCyoTyzVXyM9bbJn9054OPtPqIAL82XePtCRsam9TzzZYM3L1TP1CB9st3j7t4ASRK5sVjitXOaI6YxLWhWZJGBExxycc1XsiLS7z9uZ3bxMEFIYeiGaCKEgoihikSpgBeGlHIKspSgKxJRnE4cVmM9017fQxQEZufVUych622T23tZBUhOFU8UK3+w2eX/8+4WG12Lsq7y8kKZm8uHtXZ394Z8tNOHVGBmPkuQl4VRKa4ikJMlDEV66u9xo23x8daAII4pS1kS93liD9Y6Fn6Y8HOX6+d6rax3LT7c7GP6EeWCPJlYf1H4mSM+//bf/lv+1b/6V6ysrPBbv/Vb/NN/+k9R1dNbj33fx/efWK6Hw+FP4zD/q8FRt9CzrLzmywZfHq2rogR2+zabHWtyVZ9TZLwwZn/osd7NND03l8vc3hvSHvrc3R3w2mL5xKnPtIi5ZKl4YUIQZ7vyjqVNJla39vqkAoRJSj2vEydpVl0hZZkmW/0s02Os74mTlFpezeoH3Gji5Fqu5RFS+PFWj47t8dFmD1JOfS7GpFEbfah8vD2kbXvYXpYIrcoCJaNEFKWsNvIsVA0OBpluwPZjgjDFixMUIdO7lFPwghgR+LUvLVPQJN5b77LRj/CABwch/6/vPUISBd651Di0bhw76J5nrcVpaJs+W12bOIHlWhZQWTBU5ioGv3Btho7p84O1DvebQ2w/wosy8WmSZk69VIB6Xh9VPUj4YUTXDkjShDhNGXgRfhCTJJCkCZIoUs0rzJR0dElClSUKehbaNw5EBEaENpsC1gsajZJybsv9Z8VYWN02fT7a6vH9h212es5EePz6cplffXWeK3Pny0OJ4uRQs7vpRaTAxXruM2f0jH/uJ9s9fvy4y72WiUjKbMngq6t1lmp51jsWXhBNVltvXaye+Rnw47U276518aOEhbLO8jnT36cxre3RVYkgjLHDwy6uKE74cKvHw32TnhswdCPCOCGOE/K6kiWCiwJpGFHMyVTzKo1ilmIdJ0xIS3PgHioPPS0zqTlw+Xg7c2TmVJlXTvhs8oKI//jhNmstkyRNWa7l+MXrh6cqXhCx0XFI0wQBicv1HB9s9gjTrDdOlUZ9YqOLorN+b107JElSJBEuzxS42Hj6hsT2IwZOgF04n04nihPWDxw8PwIh5XKjSEE//Zz808DPFPH5x//4H/PWW29RrVb50Y9+xO/+7u+ytrbGv/t3/+7U2/zrf/2v+b3f+72f4lH+14VpQfFnWXlNf0C6QcSB5bHXd6jnNS7NycyWNEwv5mAQZKul0dTnL60WPTfkw+3eqVOfaRHz/sCnpEukadaX1DZ9Krmse6yv+Fg+XKrnaVk+RV2hZYYsVHV2hy7FUUGmPwo01BWJgiYz9CMe7puTqc9cxUDb62O6EZYbUhglvZ52Ehh/P07mkEWJD7Z67A1d+o7A3d0eYZQiCyILFYOVqsFy1eD99S4dM8txCeKEnCYiSSJREjN0QgRRQJIEvnJ1DkNXCG/tsmWlBMB7610WSrtAJniedtA9OLCeqdbis4gfozih7wasdxwOhi539yVemi1PSk11VWapLvP3KsZEZBzFCR3b5/6Byf7AR5NEVhuFQ/qcaZfWTt+mZQbc3hnQMn1kWWK1keNCNX/oNic5yD7PFdb0cyBL4qTDq2MGWF7Ep7t9HrdNwhguz+a4XC/xzWuz5yY9zb7LRsfOpg1xgudFo2mPjCKKn9m9tdOx+Winz0dbA/wwIqdKLJSKfP1qnTdGq6n9ocfQj2jkNb4+cpudhjHp6dkB1bzK9fniMyeJHy4izaZ1uwMXQRAo6+Lkd7zTtdnuOlhhjOPHxHGC7UfIkoCcJDSKOQQSTFfCUCVmChoVQ0GR5InDalpgfLQ89OgxjadCqiRyfb7AjcXjAYHfuX/A7d2sFmQmr/Jrry0cE5jLkogXRhiqwnzJoFLIktGTJJv4yCIYqkxeO7scF2CzZ6MoEit6np+7OnP+JzlNn/5vRojihO+vtRn6EfWSxt+8Mf+FubnG+CtPfP7Fv/gXTyUm7777Lu+88w6/8zu/M/nel770JarVKr/5m7/Jv/23/5Z6/bjQFeB3f/d3+Sf/5J9Mvh4Oh6ysrDyfg38B4CdbecGTjJuOHaC2RPatrKlaFiTevFDio+3BIYfXzeUyG12HvYHDrZ0hi5Ucb56wCpgmZboi0ux79N2Agj62z1e5NlfEHaWi6oqIIGSj8Nu7fRZKcxNiEMXZB04swOO2TUmXAQFJzNJhx8/DXDHHVsdl4AZs9RykTCB0JvmRRTETSGsy76612Om5HJgJYdxDEgVyWvY2Xm3keetijfH5WpGzAD7Xj/CDkCYi5bySOUkKKm+u1NFliT/+ZJsDM6Frp/znOzuI4shtdaE2Sb0epCFbfYehHz611qJt+lh+iK5INE4Y5Z8GebSGkEZVIq6fcGu3x0fbWb7MzeXK5KQ1bS0vGCpL1fyJDq2juDJb5mI94Z3V+oQ8nTcA8fPEuCPLi2LcIObBvsn9fRPTDUgFgfbQo5rTKOgi71xscG2+dK4MoLGL6tGBRcfOtFJRnDAzuhhQROEzubeiOOHWdp/vP2yx3nEIkiyd/KurdV5feTLR2WiZ3NkdZgnnRfHUbJhsatQ/RHq+fKnGmxdP/tw+C2NtT5SkSFJKFKdsdWyKujrR1DQHLrd2TVqWi2kHpGk2IU3TBENVaRR1SpqCF8bECeQ0mVpRZ7akIQnSxGF1VNB8ml6pOXDp2E+mQifZzDdaJn/0aRPHiykaKn//zWX+1s2lYz+vbfnIsshsUefSbI5mz8fxIzQJUhFKuoIoCdj+2RqfKE7omgF+EFGvnD+wMK/JFEcO1fPACyM6pocbZKvEsZv0i8RfeeLzj/7RP+If/IN/cOa/WV1dPfH7X/va1wB4+PDhqcRH0zQ07YtVmP/XgJ80IG+1UeSrqxGmE2IHEU4U0XdCFEE85vBarub5ymqNP/40wAkjfrzeoWTIXJk9fnU8JmUDNyRIsrbl/UF2kmkUbW4slomihI4bsNd30BWZe80BbpDjk90BN5fLk2lWECWEYfb/gZtSNCTyqoo1EkXLYrY+uzZfZKvnYDoh650nMfynOr1Ggt/5ss5C2eCP7+xyf3dIx0551BqwUsshiXnW2zarjcwaDNA2Pewgu5ItF3ScMAIrRZNE3CC7ir25VMX2A777oEPLCmkOE37/o032TZf9oc/rFyqHSlC3XQdvFPB3EvmJ4gTLD9kbeHQtb7I+OS8Bmi8bfOVSna2+TdfM6jS8MOZRy8IcWZJlUaSSUw9NaOC4/fw0TBOmLwrT06TpUtCyoRAnCW4YEUQxYZKSUyVeXihSzeu8sVLh2ih48mk/v236rHctOmaIJIITZPbsvCEzU9An9u5ndW81+y4fbHb54VqX3qiaZqma463VKr/88vzk2JoDl3fXu+wPHERRxlBP/v3sdGy2+i539voEcTIhPeOYhWdFc+ByYPkMnYCeExIlHiVNYaaosTAiJgMnoNl32O16dG0fURRJ04TyqDR4oWxgyNmkKKcqNHIKq/UcuqpQGnVfTU97jtZojAnHuP8s+x08KXc9+l6P4oRv39/ncctCEAVeXSzxd14/Tnqme7tyqsxi0eCTnT59N0CSoSCIaIqM7cVMWnzPwFrXojn0KBjyoffSaZCljHANbJ/Z4vmIkq7IFFQZUYCSpqArXzzt+OKP4CloNBo0Gp/tDfDBBx8AsLCw8DwP6QU+A55HQN61uSLvb3QZ+hH7lkd94PLJXp9G3mDgBpMV1XzF4LXlCrt9lx8+7vDx9gAniPnmS9GJzpD5ssFc3uGxKOInMUM/YLtjEUQRfSukUlDpOj5emGK6AYkg4AQhewOXG/NFrs4UMj0B2Wg9TFKiJEVEoqBK2F44mXS9caGaCQgFgTVsmn0XL4jPzPcZP3/LtTxfG33tBlm7d9sM+XSnhygKLFVyE/LzylKJ+80hphsRCwIVQ6aoSlhBjOVFiKJPDQ1Dlfjq5VnCKOHd9T77w4B9K+Xbdw7Y7Vp869Vlvna5zs2lMlGc8ridTQ4etizgOPmRJTFbs4UxfpRm4uihy2Lp/ARouqT0fnPIwwOToRcTxSnNgYcgpHRsj82enYk6RxOqk8jQac/lF4UoTtjvZyfmvpPl/zhBPCkFjVKJ2aJGyVCoFXSENAUE6gWNmZL6VMcNPCFS9/ZMnDBCUzKSq8kSAgKiJGQZR0eSlM9z7Ns9mx+v9bi3bzJwAnRZ4tpcgTeXa7y0WJ6QnrF+5n7TJEXk2myBm4vHqzk+2e5xe3eIHyWIoshCyeDafPHECe15j3Gr47DWsnjUMqkYWf3GTFnnykxGONqmz8MDk92+Q8/2cYMYQYgp5VTqBYPLMwWKuoLpBkiCSEEXWK7nqRU0ZDF73k6a9oxfs82+izdy3K237Un/2YV67tRy1z+70+Qv77cgSWkUVL718typxHy6tysV4UFryNpBltisSSIzpaxe56wcIcgmMZYXEUYJbhDjhdG5NHypAIIgkArn+50AyFIWFWB8gU6uafzVOIrngO9///v84Ac/4Fvf+hblcpl3332X3/md3+Hv/t2/y4ULF77ow3sBjgfk3d4dUMupJ4qPT4Isiaw0CpheiOmFDDyfna7EXEnHjRIcL+TWTn9CIF6/UGG9beMEMesdG+4dQMqxD1VZyopVd02XmJTdvs3t5jDLnUhSrotFJFEkjCPcOKWkiUiiQBgnbPVcVht5VhvZxKWgKSzIAo4fEUQJth8jiSII8TFxd5SmDGx/ku8zX9afeiIak5+hF/L7n+zSs3w22i6GNEAUBBbKBh9t9ZgtGlybKxIkCTICxkic2zV9TD9i6GSR8cVIQZZFvnZtniiBDzZ6NIchVggf7zgM/TW6Qw9JFCZFsR0zxAviyQrv6DHPlw1IYbuXOcKiODmRAI2f+9N+1wCvLFUmZap7A/cQWfDDTLeUiZSFE8nQURwlRz8NEjRNSG7t9NnoOEgiSKKIIKToo0yh8XMznkIexdHwumm0TZ+9gUvHyiIe/CjGCkKiOEaSQBIkclo2TXpWEfN4VfPp7oB7e0OGXoRAwmojz9W5LD/oKKHd6drc2xtihhELRZ13LlWPTTk2Wubo52U1IjcWSyxXc5/ZSg9PsnQ2OjYDO0SVJK7nsouT5VoeL8gmwB+sd3nYshi6AV6UUM9rrNaz93GjoLNveph+nGmWKgYlQ8EOYsq6RCWnTCYvR6c9212bhy0LTcrKllvmk/6zq6eQng82u/zhJ3v0nYBiTuYXrs3wC9dnT3x8d3YH7I31SnmZx02LB02Trh2QpgKGLHFttpg9jqdk7Fh+TBJnU6GCKp9rEhPFCUPbJxWEc9nlAe41TfbNzEAki8KJr+2fNn5miI+mafz3//1/z+/93u/h+z4XL17kt3/7t/ln/+yffdGH9gJTGAfk/Xi9QxAn7A29U8XHRyFLIq8slDJHQZCw03coGQp+mFBQZAZOwEbnSX7PcjXPt16eJbfW4V7TpOsE/Hi9w2xBO0a25ssGX1mtM7AD2qaEFwTsD1wqOZUrs0XmKzrNgcbQi3GDkIIqIYkCAzecTFlqeZWuHVDWVZYrBuvtrCFbUyXUERE6ShbG+T5d2+fdte4k8fms52O5ludv3JilZ/m8t9mjbXps9l00VZoE8231HWpFjXfUKkMvxo8STC8kjBMkUsIUmn2HoaYyW9Ioaiq/enOJiq7yg7UWO32fIIS1VkgQ7pLXZf7bn7/EOxfrhxwz6237xGMeT22Wq/6JBCinSDQK+rlIiK7KkzLVMcYn+v6IwJ1Eho7iKDk6ev9nHcPTcJIQerxuGhMS04s4MD3CJJsGzJdUNEU+RMZO0xtNp0af+tijmDBOUGUBdRTKGMaZZiqnyk9s3M9QNNrsu3y03eP2TpbpFJNSVGSuz5f58mrtREH0dtfmvc0elhdQUBVeWigdIzPbXZutnkuaQtXI/s2NhWdLZT6KMenoOQE9O+vHqxiZ+225lqfZd3l4YPL+eptPmyat4aiPTJGZq+i8tFDmUj3HZs/NylnTlIuNPBdquSyY1IkP5e5EaUzFUCerr+2uzUdbfTp2AKQUdIWcIrFaV7kyezLp8YKI3/9ol7WOhYDAWys1fu21pROfh/W2yb1mZoUvjXQyaz2b9bZJmCSoksSlmTzLtcJTIwmiOGG7m1WVGKpEpXA+e/la26bvhkjAfOnp09uxA400JU1TZoqff/TDefDFH8FzwltvvcUPfvCDL/owXuAcuLFYxvYidk3vmfU+jYLGQsmgOXAYuBJpArIocW2uSMf2kUQOkalXlipcqOX4L/db/PBxh+2ey3ubXeonvAHnywY3l6qYXpSJBWWBIE7Z7XvMl3Vemi/Rd0McP0KURATE7MraF7i3b1IyFBCgY/kUdZmrs0X2Bi4goOVFbC+akAV4Qn6iOGGjbXNg+ny03ePKbIGCppx5Rb7aKPKrNxfQ1cyW3nMDNroO1bzO5Zk8KdkVWVFXmS2KhAnc2esjS2JWxhkluGFKkGZlpou1hLKu8pWrMxQNhe8+OmDtwGbow3Y/4n/40RqmF/Ibby5P3DpjYrc3cLGCzKV29OR9EgHywxjbixi4wYkk5GlTIDi8DhvjKCE4imlydPT+x7qhlVpuckV/0nGc9P2+E7LVtSf3W8mp5DWJoZsV7E4TkpwuUdZ0rs0VuTb35DV/EtGZflx39gY0hz6KLKKK2evOC+PJtEtXJFQlm0ZUcxqmH2B7EXESU8hpz7zaOrrWsoIwy6jJ6dxYKvHGSvXE12dz4PKj9Q6P2zY5TWWlmuP1I8GK091ZY0fiT1qLst21eX+jx2bP4mCQuRrLhsb1+RJLo9b1j3YG3NsdcP/AYuhkz6WISCWvsFDMEcUxP3zcYehF5FVpQnq8MJmEHo7XR82+iyyIlHSR1UaetuVzb9+kbWUxAWGUiaK1onQq6QH409tNPt3tk6SwWjf49dcXT9T6bXdttrvupE6kXtQw3Yg72z1MNyM9VUPjlYXyuaY9AGtdE8cPMNSMhD8N48JUUYSconB99uk9YLIkklNFcopMYqSU81+sjX2Mnxni8wJ/fTBeLXlJ8sx6n3Gw4YHlYnoxTpTghCFvXJhhu2uz0XV4uG8dWhsVDJXXL1TY7rs83jf5L3f3sdyIX31t8dAHxFiHdLupkDcUkiQmTBKGXsCjA4urMwVuLpSRRIED00eVBQQE9ocuRV0ljLN6DjfM1kDLNYOiIdMyA+I4QVdEQD40KRkfoyyKdBx/dKJMqOXUM91TUZxMEpYNTea99Q5hmLLZswmimMVanqKQ3RfIrFQN8mqd27sDdEUkilNals/QDXGTmJ2Oi1dMqOY0iobKz1+ZQ5H2ubNr0w/gwE75D+9v8aBt8g+/usrfurmELIpYo+6slhlwb294aI0y3Yk1TYAOrWSOkJDzrsJO+ruTyNBRHFsJjSZEgpASJjFRGtPfCmib4aS5fYxxg/v094uj//ecgObARRBSvChClSXiJCVKE1RFnARijnvDTrvqnZ4Sjdd6phfRHLhYQYQiCSyWdTRVzqoOjuib4ihhvWez3nay51+ExaLO6uzJCcknYTzlmV5rzRd1XloocXOxfOrEKMtrsTLC7IVcmSnytSv1yYk8ay73D3VnPavO6KT7HHd/Pdg36dg+aQozJYOLtRxvrFS5szfg9u6QxwcmDw4s2kMPQRQpyAKVvMpcyUAQYK3l4EQRRUVmpZabkJ7pY52vGIfWWTMljYIm8cm2lb0+gggBUBURTRapF0+/gPnDWzv8wa09/CimbCh88/oc1+ePW9ybA5eHLQsviFmsGCyUdbp2yLfv7vPBZg8rjFBEgYuzBhcbxXMFUDYHLre2+oQJlHPnS1LuuyE7AxvHS1ic044Vpp4EWRKZK+ukpIiiSNf0v9By0slxfaH3/gL/1eKkQsycKp0rl2S+bPCl5QpukNB3Qg4GHhsdi2pep237BEnCw5ZFlCSTSdJyNc/bFyo0Bw473YAfb/QwNJnfeOPwWLliZFfMRcVl4KUUNYndnkMQJeQ1meVGDi9JkGURc3Ri8sOUJAnQZIN8PluBWX7Edtclr8nEcTIhIGPyI41IwzS5ediy2Os77HQdhu6TqcXRE8O0XfziTJFfV2Tmijp394fs9Rw2uy49N+RiPU99FKYImd39a5frtKyA/aHPbEnnwHTpDX2cOGXohHQtHy9KUCWRn7u6gCDsc2fHxA7A9OGTjT7/d/s+QZzwretzFLQss+je3nAiZrbDiK7lk9PkiaUdDk+Axo9jmoQ8bRU2jfNMhU587Zxw/+NJTVFXiOOU/X7A3tBFErKra1HMAjMHTkgQpyiSMApIFJkt6VTzKpW8jCxmgXHjiY/tR8w8ZZ03PdnpOyHrbWsyJfLCeKIBKuRkioZMXlcmxatHc4r6bsjDViY+F0UoqQqvLJS48QzFnuttkw82+tzeG2IF4VPXWtNoDlzuHQwZej4lTePl+Se9Yc2+OyHJ0+nJPwnpafbdSfdXxwpIyTQksyWNC/UCb12o4ocRt3eHbHVs1joWPdvLnHJSSrWQ5UNFcYoTxSgiE4I3V9InE9rpY51eZ9XzGpcaefpuyO7QJYlTDFVGUyTSNMv9ujpz8lTkuw8P+IOPm2x3bPK6wi9em+Hvvbl87N95QcRWx5mUqo77xn74eJdv392lOfSRRagXDG7MVlk4oyNsjChO+Gi7z27PRRQELtTyk7LWs27zqJn1wpV0gQuN8+vDdvoeQzckTCB+hvyfzxMviM8LfGGYLsQcuiEfbPZwgvhck5+jZZp394bIkki1oEIicjDwaA+9Q5Okdy41GDghfx7uY3kRj1omP97oTAo6IdOTNAoaiiRSNlSCOHPVdO1gsvKadmXt910kBAojG7IXHp7sAIe+jhOJ6inJzgCyIBCl9sTqPsb0WmxsF4/jZEKc/lZxgZuLJb7zsMVHmz16dtYyfTCQMDSZuUrmfJstGixUdObL+mhVJVDUFJoDl54T4UcRSQpDL6Kgy/zKK4sslHs8btlsdmxsD+7uOvxf/uPH/E9LFd64UOeb12dZrefIazL7Qx9ZEOnaAV0nYOAEqPLJep6jJOSsVdi0WPk099az5AXByROivhNmtu+R8+lpE5/p9djR+5gOTpzGtNh5TLzGk6OhFx2aEk1b96cb5o9qiOIk0zCpioQmC6xUs+DH8wqFvSDizt6A+02Tjh2QU0QKWkYCTltrTWO7a/OjtQ5dK6Cka1kKcD0/EfyO16K6IjJTVJ+6yn0axvfXNv1Jv9psWeXGYom8JnN1Jksg/mh7wOODIWsdh57lE8aQk0UaJZ0rM9lFlu2FJCms1Av84rXss2Ctm8U2TJOerHE+W2cpUjbNqeQUPtkeZO9nP0SRBFRJ5EItx82l8olTlO/c3+c/vL/NVtdEV2WuzeX52zcXj71Oxlb4tZYz6VCLkoQfr3f57uN9DqwAUijpKq+vVPjy5fqpRGsaUZyw1jJHr3GBr16uPzXa4cG+yZ39IXGSfd6snDO1PAtutAjiBFWWWZ35fNPOz4sXxOcFPlc8baz52kqVnCrxwWZvMvkp6fK5dv7jVc96x2G9Y+OFMbMljYWKhhuEJ/68X351gYIu8956j72By3/+dJ+hHfKrry1Ojne2pFMtquz3XBw/paTLuFG28hoLmVcb+Ykra+DGeEMPQQA7CFmp5o+Qn2zSM3ATOnb2IV3JKXSd8FCy8/TV7xonk5+xXXw8RZrWC12cKfItScSQJR60TPpWSNcJMDsWGy2Ly3Ml/DjFDiOuzhQOOdFUWULXPPb7Pn4UEksCW12XV5fK/Mori/S9kO/eP+CHj1oMXNi3oXW/z4/X+vzJrW2+9dIi33hplpfnC0RpSpLAwdDDCRIG7nE9z5gsjF8bjaJ26ipsWqx8mntrTA6mV2znwdF/1yhq/ML12WfS+Dxt+nRUr3PUfRXGCWESU82rFA2Jaq5wquh6/LOaffeJaDzJ8mdKhsxMUeVSI3+u2IDxY/l4q8eHWz3WOw4lTaZsyHxpucxqo3AuIfRGy+S9zd6ki+vyKEtqvBaaXm0tlPM/ceHtmPRstLOVmq7IXGgUWKzoVHMZqYrirBT1k60eGx2XnuMRxqBKcGmuyKsLFWYKOusdC9sXKBsK1+ezz4hxj1k9r01Iz9gmP3BDVFmaTHPG056B4xNGKbPFXJaPVM2dSHr6tsef39nP3tepxOvLFX7jzaVjZotxJ9bYCj9b0lAVkQ82e/z53T02Wi5RlFIwFN65XOXvv33xVKJ1FN9/3ObTvSGk8OpilS9fOjsk0gsi7u4O8KIYQ5Z5fbn8TL19QzdAFSXmyhqvLRyPNPgi8IL4vMDnhvaoOLNinF7aB3BlroQTxJPpzXrHQZLEc43BL84UkSSRgRuyP/QwvZhqmFAduS/GP09T5Mmb9atXZoiTlN7dgJ2+Q+921n31SzcWJunBuiyCIFLUJcqGSkkE031CRFYbeVbrObZ7Djv9AYooMrAD/EgmSm0uVHKUjOztZfkRQTR6swvQtoKs1+sE8nIW+RmHHI5P7tPOqunb/7wocrFe4OHBkDt7JrYX0/UChJaZOXwUaULgrs4W8aKYekGllFMy4fjQpTXwiNKU/aFHSlZe+eVL9Wx1sDOgYyWEwDCE202ftdYav39rl0v1HC/PV/jVLy2wXM16jSw3PqTnSUmJ0piqm52kSMlyTxRpQoDGr5+jYuWzrOwDLzh1xXba9OUknBWEeNL05jRH19HHcJr7aqz/mZ4cHbWuH3WITWf/SJJASVO4VC8cIpOnYfyzrCBip+vwyVafnaGLQOaCeuNCldee0vQ+Jk0fbHR5f7NLs++R02RW6xnpGa+Fjup5ftKi26OkR5NlFmsG9ZzKSiUjVc2By4/WOny63ed+y6JnesQp5FWJS3MFbi5UqRdUWpZPlGSv7cuNApoksd5xDk10ptvXD8wss+fabIGbS+XR4+8RRjF9OxwJd4UTAwohey380ad73N4dkCYpV+fz/OaXV07V9XTsKSt8I8/ewOf27pC7uyZBHGOoMi/P5/nqpdlTidZRrLdNvveggxck6LLI5bmnT2Ae7Jvs9B2iBC7O5Vh6hvXkwwOL7a6Dn6TUcxr1c4iufxp4QXxe4HNBFCdsdW3aVkCjED71A3k8vbm1O2C9YzNww3N3eo1rHcYptV4QYyjZPnx/6NGxg0M1GW3TZ7Ga4/Jsgf2hRxglPDqweGc1oGCoNAoaL82VCeKU1tBjQECtoFLIKQysgC1RYOAGVHSVRl7jQjVP23KJUoEkSdjvuXhhzJvLVZZrBp/uDNgaZeHosoikZPqPk8TOjaJ2IvkZuCEDL6QRa5MwQ+BE8jNe4bx5scon233+7O4+D/ZNgihhf+CQ1+VDYYdjMWSxK0/WX6IAnh8TkX1Y9p0QVRBYqhWYLWg87tls7lt0nJQoBS+GrY7PesfnB2s9/uT2Fq8s11mp5PiFl+e4Nptnz/Rw/YSiriAJwqQzC7L+sChJD4mbTxMrn2Tn9qPk1BXbWG8DwomTlKetpI5iOpX3KDGb1vdMT3Wm9TrTZOdp+p/TJkSqLBzK/jnvhKc5cNnpuTw4sPCDiJ4bIIkChpJ1nL05Ij1nIdPrhOz2XW5tDbKCTllmuZY7k/T8JHoeOJn0LNUNLtXyh4THP1rrsHZgsdlzsJyAKIXCiPS8MlchJeXunokVRJQMhcsz2e0HXogXxjQKKvW8PlkbTa/q6nlpQjK2u3amkXOzZOyipjBX0k6trbi3O+C79w4I44RyXuVXX108kfRM39846VmWRO4dHPDhepuOFaDJmf7staXquV1cUZzw8XafjuOhygKvLJZ5a+XsdvVxm7ymyNRUiRvzpXNPbLwg4kdrHfpugCAIkzb7vwp4QXxe4HND3wlpmR7nDfhcqmVXNds991Dj+nmyIsYnyebAnXSCaapOPZ8Vie72PZarPo2iNtHIzBV1Xl4sMrRDojQL9CoYT9xdPTegawX03YAgTqnlFVRNwnJC3CBm4EbUCipfulCmYxoM/JChFeBGMUHf4548ZKbQoJ7XGbhZd1CcQhAlWBwXO0/bwqdPEgMjYOiF3G+axEnCK4sVgDPJz/g5e/NijVpO4U/v7vPJVp+eE/Fob0CSpKzU8idOm9bbNgvlHJYX0hy4OEGC5WX6lqjnUsspvLVU52urs3y03ebhvoXlxYQh+AnYIdxrRzxs76PL8Me3d3h9pcbV2TJvXKxydSaHF6Xc28sySfquz/7QQxFFupbPdt9huZI75g4b4zQr+7jnanrFFiXJxGFl+dEx+/pppOioRX3yuxjpfE6zlY8dXUGU0LODQ1Odk6o2TiI7Y7v0RPN0yoToafb/6Z85bga/t2dieiFBkmCoMmVdYqZocH2+yI350lOnBmPbuBtlxZ6SJFLUZG4slHn9QoXl6udHet4frdNOIj1jsjUmRo/aFq2hhx8nFDWZ1dk8ry5UKeoyu32XruOTUyUuz+R560KV1jCYCIhfH2maxunMY0fV9NRq/P2hF+L5MTMlg9midqaj6odrHda7DrIk8OZKhZ8/oRT0xClZ2eCHj1pstbK/G2UO8ubFKpdny+dycQF871GLP7uzTxAlXJ8p8htvLJ15YXm0Tf615cq5w2YB2rbPg/3sPV7PK7x1ofZXIsMHXhCfF/gcUcmpdGwPJ4gPJRafhmmret+JnjSun/HmvN8ccjD0qBc0boystuNOsINBwOpMDskSRrkk2dRHVyS6lkfbCijpajZpKeiHpkLjE+7jgyFtK0ERY1xfxNBlZE0kTcmITAzLZYOLIxKxBrRsDztI6Lk+a12Hel7lYiPHZsdFkURkSUCVxYn+J69JFA11Ygvf6WYj9fEka+AF3GsOsYOIT7b65FTpiVvtDPIzxsWZIn9r9MH47uMOjzsOLSfADWKuzBYPlahO/7yx9idMYOgEkCZoUkbetvsuOVViqVKkktNQJZGO6bPWtmiZIU4IIWBFcOcg4NFBk6LeZL6i8/aFOl+72uCVxTKyLGQ6nRS6dsBax6JkqfSdADuMaA08DF2aZASNXycnWdnHpKGaUykZ2SRmOlPHC5JD9vVp2/k0KarmsvsZW9TH+qJpZ5emiKfaysdkSpelUzvFjmK6pNR0Q7p2QMv0ESXhmB3+vKnT04nLP3rUZrPnEpNQUBWWKznmKhqvzFdYqDw9MTyKs4qUsZYnpyk0iir1gkY9r1IzVMI45c7ugI7lP3fSk7nVPMI4fSrp2e7bHAx94gR0SebCTI6vX5plqWrQsnzCKGG+YnC5keetCzXiOJmsscYTm/Ek8Kijalrv0zY9DoY+eU2mpKunrrgAPtzqcmu3jyQK1PMK37g6c4wEjB/nUVH1J1s97jRNPtzp4AQgiJDXFFaqORYrT3dxAVhuwA8eduhYAaokcH3xeKjkNM7bJn/W7f/iXov9QVbM+ubFGtfmf7KspueJF8TnBT4XyFJWyLnZs+nZPu9v9M61upovG7x1ocZ7m71DZOWkD3kviDgYeuz0XXZ6mTBzqZ5npZ5jd+gSxQlOEDFXyKY+48qI+bIxmcL4UUKKQMfy0WTpUJjifNng7YsNBKGbiaejmEqicn2uhB/FxClIIodqK8aC592+x8EgYCvnYHshRU2mUVAx/YiBG5GmmbVz7Pyq5mGhovPeegc/SiePe75i0Ig14iTlh4/auGHCx1v97LkcjdTPQ36Wa3l+5eU5DoY+9u4AJ0h5sJ+1Zi/VcwzcgL2+x0o9NyFcY+1PXpcpGDLNnkPPDhFEqOc1hm7IwA2IYhBUuDxb5rXlGts9i4cti52ujRmAF2UkaOCB3fRYP9jhjz7d5cZ8mW+9ukBZl3l1scx628YOsvTrA9NHEUXWkizRVpYFGjmVekE/tNqZXlOd5tYa/7uxcPqkoMExKRprkI5a1MeYdnYdtZUfvb/pr0/C8emOC6QEUUKUpLhBxEo9z82lyrnJzvh90bZ87jaHfLTRY6tn03UzwjaT07g+X+CdlTqrs4VzTYyafXfUuzXE9CJymsxsUePrVxpUcgpty2etbQMCkILAcyU9622bvX5W6qsqmbtppXqY9Ly/2eNx22boBBwMfbwwIklgoabxxnKDr12p03MCdnoOSzWDxXKOK7MFenYw0RbOlvRD05NpXc/0Cqtt+ewOsxVXnKaUDfXUFdf49/Gduy1alk+SJHxpscrrRzoDj9rkx49tvGra6Jg83ncIElCAq3NFZFlmoXS+otAfPG6z1jYRBLg8U+DNlbM1XG3LZ2/ontkmfxa2+zZ39wYkaUo5p/DWhcpfmWkPvCA+L/A5olHQmCvoNPvPtrqaLxsslrKpzXhFdRJh0lWZekHjwX5mZd8betSLGo2CxmLJYKvv0DFDFqs6tbx6qF9qdSY/6Z0autlkaadv4QbhxAI/vfLaH7oM3QhRCnHCmKImZyuD0dpq4vaq57ITaZRiOgFbbYeOLtHIq1TzKgVNhjTCjxPCKPsUs8gyf5ZrBrNFY9JgP56SyZLI9bkSXcvn090hDw9sTC9itqxRNXSWa8aJ5GesGYLshHlxpsjfe3OJvCqy3rFJEnh4MGSna7MyU5w4vsYus+kJSllX2B3F2vfdANMLSckmV8pIqN2yPDb8mPmyzreuzyPLIhtdk1tbfTp25nrxIwgi6NopP97sc3evTzmns1LV+fr1OTRZYqWaw1AlvJGmpTn0sIIACYFaXmf2QONqvUApp2CHEbIgnSoMPilFehonkaLTLOpjTK/eziN2Hn9/+j7HRZbj6c7jtknPDgljWKrqmfB0tshS9Xz6HS/ICibHDq2OGTBwA/Ytn6EbUNYUluZyvLFS4e3V491apz3OtuXzFw8OeLBvYXkRef2Jlme8Wp5ezdTy6kRc/pPY1eEJ6Vnr2gytAF1RqBUyo8S0xfxhy2KzY9G1fDqmh+1HSKJEUYe3Vuq8ulgijhMGToihyswbSpaHI8DtvSxKozpqXx9/zox/7rSuZ/xaWT/I7murazNb0NFk6dR1UxQn/M8f7fDdB/sEfsxy3eArVw+Xbp9kk58vZ+u0DzZ77PbsLMDShwhQEnh5tszFeu5cIYIfbnb50zv7xAnMlQx+9bWFMwlpFCfc3huyN3Ap6SpvXTzes3YWojjh060BLTtAkkRuLpS4+RTd2E8bL4jPC3xuOGl1dd6V1/TU5qypz7W5IgM7YNf0eHBgEcUpV+eKkyZ4L8iu4guqhCxkwYIfbfWo53VWGwWWKwkfbfUw3TBz3sQATyzw45XXwdDj7p6JjMjQDXD8kKKuosoChiJNfu5s0WClmqNn+wydgL7r0bMF+k7AS2KZl+dzlHWFx20bTc7WXroqHQo8PErSxuTn6lyJlhnQxMPyY4b7NmCz2dP5ymrtEPkZa4a2+vYhYvDKYoXLjQIfbvf49p0Wjw9MtgYOLdujb3l886W5YxOjMWEYZ//U8hpBnLW8tywPXZGJk5S1tkWS+Oz2XXpWwGojz2vLdS41ShCnJCLsdh1+8OiAlpVNXawQzK7HRtvj7t6A2WqOy/USryyX+Mpqg4EXkKZDNEek7/rYQUhzkDJ0AoIwzXq8yjp+lE3OJEGknFNOFTOPX19Hvz5pSnTW6xOekJmTHFxjTK++2pZPxVBH0QYhXdsniBL8OKE9DEAQsgb2Wo56TqVoKBS0000B4/v9ZLufialtnztbA7aHLrIoEAO6JLI4V+TGwvlCCMfY6di4I0t1VoCZMlfWeGm+xBsXqpDCh5s99odZTcz0hOd5JPNOkx7LCRElAUnIAkZfni9N3pdeGNO1fdqWj+UGOGEMSUqaJLw8X+XGUpa0vtVzsfyI8oj0zJcNPtjo4UUxsiTy0nxpEnlxdMU1vcK6szvg1t6A7a5DkqQooshs+WTXatv0+c93mvynj7bpexGaJPLaYoUrU1k7p9nkAd7b6PL+RpeeHTKwPBIgBUQZDEXi5tLTreFeEPHeepfW0EUURN64UObNldqZt4nihK22hRsmlHRODBA9C3f3hnzvYYsoSpgtaefKZftp4wXxeYHPFdOrq2dZeU1PbY62mk9DlrL6CzuK2XYdHrctEFPeuVjn6kxhcjU6FhLHicR6x2PgRiCmvLFcZbZo4McpfTdk6EVIUvZBObbUL9fy/NJLs2iKxHbXoW+HWQS7IHCpUaWal9loO3TsmK2+Q1GVKWsqs6Xsqs0MA2I7pTl0yGkSjZxCNafghDFpKhwiZcChrw+5tcoGX7/SYKtvj4iky8HQZ6NtI4wEj+M1lRVE9O0Q04tJiQ7Zx+fLBu9crKNJEn/0aYq5FeMFAVtdm1t7fa6Pgt2OToymV2BuENORsiLIvC4jCiAIKetpSkFL8cKQ+wcm232XCzWDG0sVFso6K1WDjnWZP/h4h33T56PNbqY98aHnpVhNm/UDm3fXW3y43ubyTBkEgaWawXW1iCgImWvLDfHjCCWFgeszcH26/3/2/iTGsjxN6wZ/53/mc+5os7mZj+ERHhEZmRmZUTlV0R9VwFf1dRXq4RO0EBKiFs0GWCHUEjtYlFgAK9a0QL3rRfcn1IhuqMoCqoqsHCsyIzJGH8zdZrM7n3nuxf+e69cmd/PIyMyIxF4pZOYW1+5s9zzneZ8hyLA1jdWOiaUJgjRnq+9jawJT18jLko5tnNuAfpolml+hnfd9rcdJ85IgyTmcxESp/Hec55RlhSoUwsTE0FWpXzoOUBVYaJpYumASZjRtHUsT3LvWhArW2+eLuuM0P3E/D8YRB+OYv3gy5HFf1idEWU6Q5KRFwWLD4eW1Jq6hsf6ClRXvbA9nZZhRmmFogi9utvnSdSlePhhHPDiSCdEosGAZJ9ZanwbouX/ssz0MmfgptqmhKBW2rtNxzBNrv0fHHvuDiCwr8ZKScZRR5CXrXYuNhQamIQiSswnM9RqraepsdOwT+pWLVlx1SegoykiLgtWmzXrH5tZC41zm7z+9s8d/+fCQg3GMbWh8Ya3J//mt6yc+++q12bxN3jI03t4a8N0HfQlA84qen0nQAzRMBUXhQkZyfr7zsMf3tvoUpcLtZZe//MrqpezrXpyhlBUbncut0uqJ05z/+uEhO6MQUcErK4vcWjz7/Pyy5wr4XM3PfdbaNquNaLbyetDznrvyqlmfmrV5cORfCJhmZ39pQT9IzzBL8+DHNeXOehRl9L2Mnp9wfdFhkmTcXW1y7EkB5aOBBBx17cXmgsu3gO8rClv9gO2+FFB2XYMvbl7D0jR2hiEfH/nsjyZUpULTUXHNBnvDkN1RyFYvhEohW7CnNQig6pyT9qydsbrDSas6MMsredwLzgQd5kXJyJbOpKJkZh8/GMWzrJv1js3f+cYtGvoT/uLJCCEUPj6cMJikfOl6F01VZoxRzZzMi4jrs/Ja23Gj6+AaGkdezFavQi8zirJkbxyhCIW+n3I4iXl1rcX/9S+/TJzlxHnF//2/fszbuyPGfsIwSgkSiL2cb3/Q548/6NO2VNY6FrcXGyx1bExNum3SDJpmg4ZpkBYlURJhaAplVXLkp+wNZD2BJgS6qpCXJaamcmvk8PJSk7gs8CMpJHVNlSQvyYtq9j0oJ1xfpqaQ5CWHk5g0L1lwTZKi4GgU83gQkhUFuhDomkr91k7yioWGSV5W6KogLQqqqkQTGhsLNguOSdvWJQDSVQl6pwCr/u/jI48fb4+I0oIF16SsKvZHMiqiHyRQybXvgmPQsnTWujZvbnbouOYsz+gyay2Ag0nEhwcT+kFGWZZsLEiG8qUpcKq7tqKswNSUE91sn8Y8PvZ4d8/jUX9Cb5JhagqWIWiYBktNi/mH8YNHPT7Y9zj2Yo69hCjLoZK1FU1HrpXDRILR04xUnBUsNCzSrJglTAPnWtfr9/rOIOIoSEjSghsLLq+tty8UNP/gcZ/vbfU59hMWHJ0vbXb5P3xl80Qwa832FNP36MwmPwz47uM+h15EhUDXcvw0RwAq8Mpai7VLMHdbPY8/+ukhoyDBMXS+fOsSCdzD4Kl93VUvVUR64vdHIQ/7AWUlWGmb/E/3Vn7m7Kafx1wBn6v5uc/8ymt7EPHRgU/L1J9LgdaApranP2vlVYOcmln68fboxM9r8DOOJGHcdnRUAQ+OfF5aafCF9TY7wxBTUxmGCV6Y8ZN4JBmbqeanvq40n4YHhinfe9SnaWncW2vzxkZbri28hF4Y4ycqGwsWyw0ThGAUxmz1PLwk4+WVBqamEqXFtEtLfy74qRmY+vHPM2DngZ+lpjk7K+z5CfcPPer6jUEo4+4XXIP/5csbdJomDw8D9scRwzjlB1s9dkY2HcdgwTXZ6vsnLOb1bZxggPyElabNQsPEMTQeHPmMopSmZUjRcBXx070h72yPeW2jxa/dXKRja/zffu8NHh57HIxj/vx+j+/cP2JnFBInkJVwHBSMI3lAsiyNpqlTltC0NPwoRggpbO66Jqu6TcM0sDQdL8oZBSlClKiqRlUpjKKUjw8LHh8HmJpGXBTYmvx9XVWI0xJVVei6ckWlCUEFDP2UopKC42NPBlCutXJ0TeHIl5ZzyX4JXPPpx6oqFJqWykbX4qUVFz8qWGxIxkcIMDXBZlcejD869PjDHQlwNFWQpgWjMGUQJARZQVlVmJpAEQJNgFIpNA2dbsPk1fUmNxZckrSYsTvPWznNi6vnay8atnzPrLQsbiy6WLoKFWz1gzNdW5dJdr7M5EXJ+3tj3tufcDiJCOKCKMvRdQPXNLi94tKydBZdyUD84FGP7z8a8KTvczhJSIoCXSjoAhYaNpsth6alMYqyE44sYBpSqrPe5oQW6fGxN1uJnS4lrdduSgmbCw4vTZPPz2Ohf7DV44/eO5qugWU689/4+g3urpzsITwYRzO259q0YysvSnZ6Ibv9kDwvWGwaNC2HD/cnGBq4Bvzv7q5xc9E5c7unn8+f7Ix4MvDJC4X1lvVcQXNelOwP49n670Xt6wfjiP/20RFxUtC2Nb52a5Gbi41L//4vcq6Az9X8Qma+WHQSXb6aYt6e/iyhc33Z1UZEEOf0g5QPD70TDegPjny2+jG6KrB1QTpNJvaTnC9f7/Dmje5MrPngWCaOhkkBMLuvmwsuv/Ey9PyYDw+lIPW7DwYMgoxv3Vni3mqLcZgS7RSEacbHhz4NQ6dlqmiKjZ9mhEnOw+OQG0sOZVGSFRWTKOP6gnMG/LimRl5VZ3J+Tju64HzwM3M6te1ZQnINUmoQhAK3FhosOAb3D3UOvRihKEzCjL6X0HcSWo5Bz08IpmfVNes0zwDVgt0oLdAUhc2Ow84oJIhzorzAC1K8MMeLPaqqwgszltsWi67ByytN7iw3eWW1xV9/c4M/+eiQ7zzq8/jIJ8tL0ko6nbK0IAQqFLIiZxyqOJZOlufYk4jDcUR/VWqzTFVlwTVpmDo3lhxUReHDA49s2nemIV9bFAVNlWxOpchm7TjPibOchmlQVhVhJqsRqEBTFWxDRdcFbVsHReH6ooKjq5iaeuZ9WYulG6Y6Y1Ye9gLeeTIiTCSLkxUl7+4OGYYpZVlJR2KWU1VSA+YYKrau0bYNhFBomirXOja3FhusNA1uLjfPBDE+6yA3/1odTUM+69qLuysNCQhaT4W+n3bX1un7cv/I4+OjCUM/Iy8rGo7KxkIHIeCl5caJVOp50DOKctKyAEUyemsdi2vdJstti7zizLqqnvqkoH6O6vVeVSHXV6fE0/ujkEmYSY3Qonsh6Hl7a8D/9qNdtvo+QhG8dq3Bl252KIqKnpecYGt/9GTAOMzp2MaMWToYR/xwp8+BF6GpKrqqMgpT8lKuuZqWjmtprD8HcL67PeK/vH9IlBW0HY2/9Oryc1+veu123vrveZMXJd9/2OfHT0ZkRcnLqw1+46Wlz9yKq54r4HM1v7A5XSx6mWqKFxE6SwFwE0TFo+OQcZjNLl/fhp/kbPUDfKHQsnV0VZwLkgCiNKfny2CzWvNTZ938H7+yyZ/d7/Hh/oS9cUglpB39zc0uv/2FddbbFj94OOCjI7kvX2na3Fi06fuCnUHIOIrZ7sFy24QKhoFkFG4tujOwwzT60dJlzk1eVLN11Xyr+0Xg5/Rq8CKQUueutCyD37i7RJbLVd/uMKRh6KR5zv5Qtq47uoprqmdWYBdd/3rHZn8cYagqR17E437I/WOPSZRy6Cn0/IRDL+LOcpOv3Ojy8kqTpabJ6xsd/toXJuwOI7b7ITvDgCfDEHX6nES5jNxPi4Iwq5hEMlNpexThpRlLfQuhgqEKWrbB46GPIRRajoFQwDU0GqbOxoItnXYotGyNSZTNnvdJLLVcqpCps6oiO53qNVjL1mYN7MstmeI9z7LU3+dFySjKeHt7wKOjgEGQ4qUZaV5IZx+QFBVJlqOg0HYMVKGghRmqorCx4PCl621udF3isoBS4Vrbmjl6LgN06qmdWvePPOoVparKNd587UVdGjv//vi0urbmZ75stO/HFJXC7SWXV9abtEydtmOcWNWdAT1pTpxWVGXOctvi9nIbFcnKpmlxxqI+P/XPau3OMJTurutd+8K8nq5jXgh6HhxO+MMPDnl45IFQeHXV5Y1rXSZBwfuZx83Fko6jn8jIEYrCypoxY3s+2h+zfRySZCUtW6eoSnYGESB7xq51HdqO/szsnp1hwL//yS4PjqU84PW1Fl++dgm2ZxST5QWGqp1Y/11m3tkZ8e7emDQv6bgGr19rX8px9suaK+BzNb/QOV1NUQt6nwV+Lit0Bnkm1zC7qIgTl68BS16W7I8jwqSgaStsLljsDuNzQdI4SlGmdQqDQNqDdwYRd1enzM9deWB9Z29EEEv3BKXC3dUmX7m5SNc10D8UfLDvMQpSHEOlaWncWGxw5EWkecHEz1hum1imihdKa7NrasR5TppCnAtcU+d4Ek3D9gCqM86r0+DnyEvYHoV0HP1EfsZ81s1prU7NMrUtna/dXmCjY5MXFb0goUSBELb7IWlR4Oo6QoUnw4BrLZvbyyd7ok4HCtaZQG3HoGFrWJpKkhbcP5jQD1MmYc5HBx4vrTT45p0lbi+5bHQcNjoOv353mbwoORxHxEVJmpUEmRRvm5qKCgyilB9tDXjUD1EFjOIMBZmV1PNTiqKkUBRcXZAVUutjGyoPezpt2+CllSZRqmEZcq3jWiry41ECHF2TbMday55pb2pQc+jF7I9ivvugT5SVNCyVoqiIMlk+Gk0ZSD/JGQYpYZZDVaEqCk1Lp+HoaCUsOAZ3Vxu8udkhqyr6E+kC25zmFlmG9kKdY/XUvzMKMxlFMF1XFUU5s5/fXWnSsfVZFcO8dms+l+fT1GucVza60TG5uejOerfmQeQ7O6O59VZKWkrQU5QFlqay1nZomxqlIjv6FIUTFvWL7sPOIKKsZAXEvLtrd1pJ4cXPz+t5Z2fIn94/5sO9MYqqsNY0+cZLy2iqYDwIKVPZT9fzE7b6Po/64SwjpxZH//BRjz/9uMfRJEIosjm9oascjAOEomLoJa+utHGekYeTFyU/eTzine0hflKwsWDwW6+uX2pl1fNj0ryiY6uXCkWs58HhhB8+HpAUEmi+dbPLN+4sf2bZHrgCPlfzS5i6mmIcPV1JwcXg5zyh87Mubxnaicv/eHv4FLB0XbqOQZhG6Jrgq9e72Jp3BiTVK7akqNgfRlJMWxQzN1jDfKr5qRS4f+BxMIr5QTUAUdFxFrm11OR/0TQWnB5v7wwZhClVWbG54NKyNfpeQllBlpV0GwaKDVFWsD+WFnGvSMjjEi/KKcoK1xIUeY4fFUzilLyqTuh+ZhoGISirCj/K2RmFF64lTmuF6oPdOM5QVHlQNlTBesemZWnsDlWEEIRpPrXjywOVKRQQ1cw1Vp+hXwSCFhyDJJP/rgSI44C+J0tGx2HKziiQB2FVrqi+fL1Lx9ZZnT6GeQAw/1i+cr3D+wcevSBhGCQMwxRDCMpCAiM/ycjyihIZRNgLUg5GEZqu8ngQkBUlrq7RcgwqKgwh2ZdF18QyBLau8+7OGC/K6AWyFsOLZL9TURXEGahCYKoVWSELSeM0JwfyAgwhV5aGKsW61zqSBbQNDVsTdGxjps+J0xyuycfV8xIOJrF8bi95QJoHOzOBu5ArOqhOrKvq1OiDqTNtnuH5NHN55ueistH53q165ldhPS/mcJIQ5zmKIqhK2Xm3uehyvePQbRjkRYVQOAFizpv5OoprHZvNBXsWXlqvvrKyJMsrOo5xYV7P42OP79zv8+HehLgo2ejafGmjI8XseTnr/rrecdk6DmaN65sLDvdWm6x1bP74gwP+40/2ORxHZGWFYwm6psEHR2PGUYkmoNuUBaHPcnPlRcnHfY8sL2kYgreud/nC5vNXVr3pa66r4oU6td7ZHvKd+8c8GYQ0LJ0v3mzzV19b+0yFFZ43n+17dzW/knN6JbUzCImnbdP1B8/pmRc6b/WlLudZtvj68rWuZ96+fme5SVGWGELgJ8UZkFQnGNduL1mnkBCEJUUZU1YVKmKWcgzgRbJi4HHPp2VrbHacmcD4t7+wjioE333Y50EvIC/hKzc7NExNfvAnOX6S4Vo61fRsNc5yHF0eeII0I0gL8qLkWstlK/N5cBQQZyVVCdcia7YSmK+5CJPy3NXYeTMvVE7zEiEUsrxikuQURckXr3V4db3F7ijmg/0JKw2bJMvZHcncms3EIemUjMMJK82zDNB5qcqjUJY7vr7SYnsY8tP9EaMgpz/JOBolhFnBR4c6P3kywrVUdKFya6XBF6+1aZgqDds4YfO+udxkYy5HZncQkFUVWV4xjlMo4DicupJSKZ4d+LLhPS8q4qxkHEUc+wlFUZIDliaIsxyQjI9QFIIkg0ohzWWJq/yMF1iaZPSKUqEsKioUbFsjz0pQFVY6FjcWHJZcC9sQ2IZ+otLitNgYFCxd0PcTVCFY7/DMst/zxMrwdGXXsjU0VeX69OA5b42/iOH5tHJ55ufxscePd8fP7N2qH0/tXKxXYV5SoKkKDU3HizOW2hYtW2OtYaPrAsfQaJjaCRBz0XN1UR3FzjCYOdugQlcVOrZxbj3EziDg+1sDDiYhFQp3lxvcW2/RmTpH6+6vpYZJz09ONK7fmzLHDw4nfPu9Q570fSZRjmsprDoOR17MezsTiqm+Z2PBpO3oz9T3fHzo8fHeBFUVrLct/solQMjpwMLn6Ydmj30Y8N8+PGJ7GGJogttLLm/dXPzMgx64Aj5X80uaeiVFqfCw588a2cOk4PWNzrm/s9a22RlEjKOcrKjw04y8uFhvMK/r6QfpzL5eV2nUmqE3b3S5u9yYZpPILJ4gy+WH2GqTg3GMqalYusr2ICQexpQVs5TjtbbNvdU2XpRzMEk48mRe0dBPMQxB2zb48o0OWz2p79jq+7i2dHsUZcWTfkhcVJRVRphKwe31rsOCY2DqKlaiYukSgHhxSpoVGKrsuNodBfSDmDgvubfS4vZyg6WmyVLTnDm5LnKFnXl+55iZmRbk0EMVgiM/Ia8kWHx5tcEokIGPUZoziFLpIOmHLDR0dE1AXzJAHds8c7Cuv593nd0LM24tu/S9hL1JzO4wpJjEgODJIKCkgqriwI/4iyc9Fl0b11SpKigL+NqdBa61peOnZoRqwe/pLB4/StFUwSjKeHDkYagqu+OQ+4c+eVHMGKIwzcnykhJBmmakhYqhC0oUFEpcS0MXAkOTOqLFhknD0jA0hawosXSV9Y4NUwCiqmLWt9Wx5XMSpzkN22BnELA/iZmEGUEiC23ldQkZRliWWJp64Wv3LLFy01ZPhFjO2+Vre/qzGJ5PC/TMO7eOJjFFxbmgJy9KRmHGVs/nvf0xfa9mI1QaVkVeSdCz2bWxdR1L12g1dBqWLqtELlGVcV5WT10dcjhJmEQZwzChaercXHSx9bNsz84g4NsfHHD/yMdQVb58vcNr6y0sQ2VvGM6uG+Dd3fE07PFp43pdt/Hf7h/xpO8TZgWGVnFnqYmiKnz/4TGTGISAay2Ne6sdmtbFrF+c5vzXjw7ZGUdQVLy82uLl1ef3Y8k1ckyQFLSsy+UD5UXJf/+4x4+3h2QlfP32Ar/x8vJn0rp+3lwBn6v5pY1laNxdbVJQMnicMJj25txZbpx71lAzRaoGmqLSsZ8vsqw/AGtKe6sXsLlgn6sZ0oSYffDV7I9MeHZZa1s8OPIZBglenNMPYjq2PtPa1AzWh/s+cVbQDxIe9X3yHJbbOn/l3hq/fneJNC/YHcfs9CPSTJ75LTVNKir8OCfPS/YGES1Lp23pUFVoKlITIgRQYZsaTUunbes4hsaHB2O8OEdTxImVU816zSc5n3aFnfcc119rJ9h8GOIoSllwDb58vY0qBO/ujRk9yWhYOlUlQyCFIjUKtq6xHQWMIu3E/bkYBC0CMhxwHMnMn16Q8qQfMIkkIFARDPyMse8RZgXadH2zO/HRVBVX1XjzVpeOI7U7HVuKSS1Dk2unopwxRR1b5xt3ZH3A19RFHh97ZxiitCr56e6YYZDRclQ0ITVACw2ZmdOxDSxNkFGiVALXVOXqq4TNBfsEk1PXShyMI3ZGEf1pYaaXZOwNQoZRTsvSWGgYGKqgaxu0HR1DExeummpWZJ6xOU+sPP98n7avz9vTfx4MD5zv3FrpGCw3bNqW/tRFNYoYxylDP2NnFLI3CBHTEmHbUHh4nE/XOBq2ruMYOhuLNgu2fulMofOyeuZDGcuqJMkrHE2V+UqGykvLJ/N6Hh97fG9rIMFyVXG9bfJXXltBqWR3X33ddWTGfNjjS8uNmWPszx/2+P6DIUlZQVWy0DIxTYM/+2CP3alBc8WEr91aRAiBN2U4z5vdYcijI5+qhKalcnftcsGBmirkidSU6bsU2zMK+N7DHr0wY8HReX1aEP15mSvgczW/1JHMzwJRUvCTnRE7o5iPD70LM37mWYLLfjifzvJ53AtZcI1zqyHq/qHzVmQg2aMjLyFMco68mCCV9QS3llx+7eYitxYabA0CDkYxfT9lqx/wuA+TMOPXbizy63eX2OqH3D/yOfBigjhntWM9rd4Yx3iTmP1BhKurBLXY1tTougbRlBFSFYWGqaEoMgvGVyqCJGUcSP0M1dP1Vp3kXLe/H4zimSX9ec9hzQKNbHkGHqUFpqoyCDKatsYb19pca9ts9WR/mKWrVMDhJGYUpXRsgyDNyctoFpxYH8QvSkeuX+N76238KMVPCsZRSpqVxEXJu7sj+n7GkqjwEgn4gqhgHMdURcWRH7HQMEgKcHRB0zDoNnXGYUZZcOL7L2y2eGOjQ5zmrM61cueFPQPfX7+1eBI8lSWaELN/13qm09/XTE6clydAzsFIimmFgJZjcjAIyauKPC+wDZObSw2ud08WsZ6XDFw7r+ZrI+bFyvO/XydNn8cInbanf9qg51nOra7zVBe2Mwj40eMhoyidgny4tuhQlWBoCvujhCTPUQBNYwZ6Zrqg56xo5kHifFYPyvTEKCskaFRUmrZKUaosugZ3p0Clnnd2hnznYY/jsSw23myafOOlJTQhZidYlqHiGipBUpwb9lg7u36yPebQi2hYOmbDYLXtcjAYsz0sZrf32kaTO6sdwqTAEJz7ftgZBPzJx8dkRclyy+DNzS5v3Vi81GvZ8xOiPMfSVBnP8JzJi5IP9n0OvZiylLUUd5c/e+nMz5or4HM1v/SxDI1Xr7U4nlLa7+yMWHCMC50In+QPrP7gqsMQXVPj9oLDo0F4ZhVUHwDqFdmj43Cm6fny9Q4fHnqMQ9m1NAgy8uppds5aW2pYeosJtiFmDeb3D316k4TVjs2ray2alsb9Q49JnDMJM97dGdG0dZJcfiBXyA8kRZFJxNe7LguOzmvX2mdcN4tNiyQr6U5LRHeHkdStVNXssZ9eXZ1mf551lj8PRnpecgJEFUXJ3ZUmd5Zc/KTgcT/k0IsIUziepByOYoqyomnrTKKMhiEQqsrxOJ5Zs9uOzjhO0RQVU1NmxaOuqc7YjpuL7gxofOVGl8d9WSA58lMMXbA1PbhSyhWgF1X0/Yi8LKkAQwiZ9VIUaNPvR0HK9x/3JMOoq7i6fgIU3V5xWWmZaEJhrWXT8xLe3h7y+NinYRkstQ2OJwlKpZz53tW1Z4IcBVhv2yy6hsz3yUvMaf/S6aTleWcTMFsD7Y1i8rI8UxsxL/zueQlbPRnyJw9q5zNCP4+D1rxG5yLnVsfR8ZOCHzzu8+DQ52AckxYVL682WO/I9/P+KJaMXyrXXbotxeHn6YIumvk1Vg0S5zu7BkFKkpU0LEFRThkmXZ2tpOqphcxbvQBdE7yx2eFrt7poQsza1VUFuq5BEBdnbqt+nncHAe/vjxhFKcsNKZxumSa2rvLuJCGd3l5Xh9//1iskVck4SLm9dJYN3xkE/Of39vnxkxGqqvKV1RZ//csbl1o75YW0y3tRhhCChn02h+q83/l4f4QCLLomv/Hy8mfaun7eXAGfq/lMzGbX5Y2NlP/64SFBkvP+wYTVzqeTClvPfBji4STBMaRuZxJlZ0o91zvWCZAzr/s5L+X5EQHjKJ0Jo9facs2x2rT47sMeh5OY3XHEkZ8y9FN+45Ulyf70QvaHsvl9EmUUpULTEhi6QpSVVFTESTEDV3Xu0XxiMkCcFWRZAabUhTw4Cuj7CUFcoFSw2rFPrK7m2Z95JuZZ9QaaKmYM0GkQ1bQ1yhIWmzqGpgAhfpgihABREmclH+6PCdICS5dhfElW0rJ0bFOgChkgmOclFQpdV2e5aUJV4qWl7DdzTamxKSWQCJOcSoEgKbi73KRtatMwQsHuKGIY6OyPIrK8wjJkd5ep6TimyjjKSKuSMqr4eN9DUUEoygwgFUXBR8djLE1lEmd0HROoeNwPGQYpyy2Tpq4SZDIJ3K2/VypWmjYvrzY5HEXPBDlvXl+gYapnmKP5uViwnJNXMmX6WuskkzDv5KovmxQFeaWy0jDPMEKf9tQM09bA56N9j+NJTJgVZ5xbRVGyM4p4cOhx7CccTxJsQ2XJVGmYGqaq0fNjKiBIMzY7Nn6SYRoaTVPlevdyoGdnEJzbLVY3oB95EWUhU7nzQiZ131h0Ziup+ev54ZMhx16IpgruLDf41h25nn1w5NPz5RpcocLQVFRVOdNjBtIJ9d8f9HjSD1AFtGzpnlxu2Qz8mINhMg1SgP/L16/z2kZ7mqassNk9+VgPxhF/9vExD44DFEWw2jL4jVdWnhsMOz/DMAGgYepc7zw/v+f+kc/9Q4+8qLi+aPHmxrMzgj6LcwV8ruYzMy+vNrl/6LE7kUF3u4Pghf6AnzfztnhNEbPUYiooypIkgzArGEVSZ1CDnMd92YtUr8VuLbm8sdFmrS2FoVv9gLGfEmcFSVGdSDd+8+YCyw2Tx4OQ//LBATujiO2Bz3fvK6x2LanlaBrYqcooSqdFqhCnBaoo8OOCJC/wkpO7/Xktxs6gZpwU4iyfJidDWSnsT0Ly7ZKVUcjtpcYZ4DJfYTEO03MdWec9j6dBVJJVDINk9nx2bB0WXcpKNqiPQ5mJFCYhYVoQpRlxVhJmGd3CAAVGfooiFISikBQ5h5OQQZgzDlMahoapa7yyKgXL3YZBnEnqX6gCL8mgKkERtEydJUfHUmVU/yTJSLIKS1WoBCRZxZ1Fhb1xzIEXkWSFdPmpOq2GTpjkCKFSFAo744AwKxkFKVlREGUVeVliaCpNx4A4o6oUmrYGcYaCkC6tpknT1i4NcubP4s8LmTxPsNx1GjOhtGVoHIyimR5r3sk1f9nLVFl8kpm/z1u9gAdHHnujmGMvQtMkg3J3pcGCa3C9azOc6vnqIlRQsE2VlZZF19FRFIW9UUg/SHBMlVfX25hTQXodJPk80DO/2jq9bppvlwdFxhdoCkVZsdQwz6y35u33jmlwb83hmy9J0FOvyaAiznJsQyMvZRjpac3RVs/ju1t9WecSJ7QtHUOTPWtBlPHh4ZAwlZ1cd5Yt/uY3bp0wHcyPbF7v89P9MaMw46WlBr/56jJv3ly49OvW8xP2xiECwWr7rGvt9MRpzvce9RnFGZqm8tJSg8UXyPz5rMwV8Lmaz8zIlVebfpiS5Dk/3hlj6tqn6hQ4r7rB0ASDIME2NIqqwlTVGchZcA0WmwaG9rTl+cfbw9kH6K0l+eG4LRTCOMOPM9Zb9olV0saiy2rHpmlp/MnHRwz8lEmaMzyY0DQMFhs6d5aa3BIOR2Mp8g6SQgbt6QJ1aqHe7Z98LPPhhfM6nqQoSTJZ3KlU8GQQSMZgFPHrLy0/XefNPQ9Hk5gkr5gkGY/63hmB9HkHypn+J8zwkwyhmLMqDKHAzUWHtCwpigpNAVNTaZoyCwgFwkQe8FaaJl6c0TA0srxCUcA1dfp+Qp6XhElOlEprsCoqHEMjKeUBXuopNDRVYRjIDq2ygt44JsoKVtsOqoAoy7F0DYWn3zdNlYahowlB0zagqCiKCkNRcVyNJCuolIqqKgnigrSscE2dV9aaXO84LDRN0rwgSgrarkGaF+iK4AubHW4sOJcCOfVclKh9kWC5YcqVhJ8UJ/J36lqJ004ueLGE5xeZ+j57UcajfsDeNPfKT3PKquLmgs1Lyw3urjSJkoLtYcTHRxPSHMqylH/fdVJ5pdD3EuKiwAtzUOTrbaqCEqYZSNpzQc9Fq63aVl4zQOMwJS8lQ7PaOrveOr2uQ1G4tejytdsSXNTrrbIsKCsFgYKhCm4vO3xxs33itd4ZBGz1Q/peTJjmaIrCUsOWgZd5xXYYsTfOUVVoOoLf+8oGt6ZdV6dfs4NRxA8f9/nuwwFenHOtbfHW7S5f3Hx2/+H85EXJj58M2R/GaKqg7T4fDhxMJCtuqBodV+drtz4f9vXT8/m7x1fzKz0vrzYZeAnv7o85nMRsDfxPNSIfzqYWPzjyCVPJqrRtnSVXI85kLcE8KyTZGPWM5b0GP+MooygrirIE1DMZOl+83mXBMdgZRXxw4E2D4jL2JzGGprK54ODaOsd+QpIX07oEDU0HTVcJ4ozdfnTisdTMzzyTEyQZDUPqOQZhQv/Ao58XKMA7uyNuLDi0HYO1jj1zGnUd46nT55wm94apn8sCzet/5g/csyygICNMMxShsNY2yad6BteUq4A0K2naOl6Uya6simk7esXjvs9K2yJMM4IoRwiBbaisNE2ZkaJV5HlFlpfkpdTvpHlJmhd4aUaSFYwiWRSZZgVJXqKrCmlWkBUVRZkzCHKSNEcVshJkEKSUFbQyjSKHohI0TalLqqhwDZ1XVlp0HB1VFbiGRtMsUVUxLdGUILl+np51UHge2JFfqplg+daSy5Jr4icF7+9PZq4sQxMztq0oy1mtRP36/Dxm/u/n/rHPJEyJshI/licHKDKSYbFpcnexwa3lBnGe86gvQXhWlizYJo6p0pkmeyd5ye4gpGnJpvrUqEjSAl2T+UniVL7QRXMwjvjp/phxmHyb+xEAAI40SURBVJ1YbWlCzNnKwYtTsqJCUyVjV7u36us+GEVyXXfg0feSM6CnXm8djhPyIqdlyx6tpaZMY65f+3nmaXsYEuUljqVyvdNks+uwN454Z3fIziAkTQuWGibfuNXlb3z15rmv384g4DsPpZVcJtDrvHm9y+vrnRd6vR/3fLaHIYqi0HU0rjWfLS04GEf8+7/YYa8f07B0fvPeKq9tXL7P67M0V8Dnaj5To6mCl9aa9KOEUZjT9zJ2hsEzw8g+6e0AZ2zsWS71KK6p0nXNE0m2RanKDzdTm1ne69XXrSV35haRbesVRVHOhNP1bdXsz81Fl8f9gL1RzDBMiLOSh8c+i45s7p7ECpaqomsQ5xBGGYoCSZ6zN4ioSilenkTZCafU/Aoqy0tUoRB0C/YGssrhcBIxjlJsXedGN8a2ZCxAnf0DZ5vcS2SX2GVs6aezgEb2Sb1JmGYkRQaioogrTE0jnObWVBVcX3BmvUVf3GzPrutwFBEVBWlW4pjydw4nCYfjCMvQqBRIEhtdUxGqwtEwBEVhqWkhVIUwyrAMbfa9rqmk0xqMsqxo2TpJXhCmBQKFBdskLUrKEJanuhihSi3alzbaBEkOKLimeuJ7Q5PN3/PPzfzzMXtepizZ88COpj4VVu+PIw5GUo9xYpWlyxXRs2zvn+bMA7WPDz22+h5pruCaMpV6pW3wmtvCNTXuLkvGYmcYsTcOGYUZRQVtW8e1VFQh9VaTOCPOCzquzvWubJkvKrB1wUrDvHSCdB1MOJ4C6bvLDa4vOuRFOQ0llCcyZVrSsgyMhoyIOG2F3xkEfP/RgIc9n3GU0bJ0Xlp6CnruH/sESU5ZlhRlgWPKz4VXVlq8tNacXU/NPO2NIsZJJsX4CuiWScs28ZKMP/tIJh9TVWwsunz9Zpe//a3b5zLdB+OI72/1+enemONJwmrT4hsvLfBX7q2+EPPyzvaQHzzuMwhSlhomX7+98Mxai7wo+Y8/2eXPHvRJ85I3Oi3e2Gh97rQ99VwBn6v5zM1a2+arNxa4f+xzNI75waMBXpRfaHH/mW9vmiY8b3UF6LrVzEVVJ0YvNUzeuNZiqWmwM4hmwOY0+FGFMisbnQc/tbOjvs2bU0vy3ijG0GRpZ5yVGEIBAWlaUVZS6KwoUjuTZhnv76X0Jin31ts0TCHtvycs6hVd16BpyT/xrmOQ5iWTJOXYS7H0nN1RwKJrseDKVFrX1KSlv2HO1mDzKc4XsUDAuSBong2Ck/UJVBIETeIYVUhthSoUtkfBTGA+v6bZWHTPAIhX1soTAOz09/P35bzL9byE7VEApTJlmUpeWWvRsQ1atkaYym6lRdfk+qJDw1CnazUxS4yeX2fNX/dpNifNSwxNzJ5PL8pPMDUvDHYuCCV83oHo9P17kamZi/vHPkqlMI5T3t8bMYxymqaKbZgstSyudSxaUyCgqYIPDiaMgnTKJsr3qGvI5vHtYUAQ5zQslY6ts9S0sHQxDTPNWWnZl84Xqu9fHUz48kqDV9eajKJspvNRp3k1hSIwNPVcx1Wt53l0LENVm7bOnZUGX7v1dL211Q9Ii4IFx+LWUgNdVbi31uK1a+3Z81vHYjzseQyDjHGYYeqQI2hqgie9CR8f++wOA7KyYrVl8btfvMbvfunahZlNW8cBH+5PGPgpa22bL250eOv6i62btnoe7+yOOZqk2IbKy6uN5zax/+d39vmj9w84mkQsuhavrrbY6D5bVP5ZnivgczWfyakLRXuTmGGY8eHBhJalfapi5/nRVHEm72dnEEmLe8Nk0bVm3WJv74651rJxTfnnMw9+NhdkunSdQ6KrCpMp8zNfh1E7amoAtNmVNvGuY2KoAQ+OfdQKNE1BVFJwaeoKPT9lGGTkZYGpCbaHHl3HkrkhYynKnkQ5SV5AFXNryeXuSpNxnOFFOb1A5fGxT5jmJFlJVcYEWcqDY+nQemWtwWrLomHqs6Ta88TQNQv0qF+eOQCf99wC54KgedakBkTyAJ+TVwX0mbns5rN/6us9b/VWHyDn84HqNOf5y6917BP3WbJMnXMB1Hw/WM9LTtz3GtAESc4olLlOHceY1U3UbE690uu4BkUpRc+LDRPbUD8R2Jl/bk9/Pz/zNng/yWYg7DLdX/MAbmcY8uHBhFGUYqhSY1QiMDWF1bbNSsuSjKih4cU5XlxQVRWmJl9fx9BYadsYqsLeKCLNYxxNY3XFgqpi0bUwDcEklAnrpq6y2LxcvtBJTY8MDzQ0wQcH3my1lU5XnXnB9PGfXJud1vMIofDSisu91Tabi5JJfXDkczCKGAQpSlXRsSvWuw63Fp0ZK93zEu4fT+h7GYMooTdJ8dKMoigxNANXU3jQk+LvIMkwdI2byxa//cY6f+OrNy4EMT0/4YfbPR71AjShcGe5yTdfWnwhDeTBOOInOyOGYYprqry80uT1a89ekf1/f7zL//OHj9kbRpiGyusbTX7zldXPLdsDV8Dnaj7Dc2upiRflfHgwoapgqx/O7Nw/rzkNfmohc8vRuLPicjROJZ0+kiGIDUMGnc1ftm3r2KaGF+UIRVAUFV6WoaCwPQrZm0QzC/I8AMqLko5tTMW4BYMgwdJVWraGisDLctaEdIwcjaSQOkp0KhLKSUWaFqx3be4f++R5SdvSyauKlYa0gZu6QsPQeHW9wzhKSIuKMM4ZBwl7o4SmrVFUUmdhGRpfv7U4Y5DmxdA1axGnpTy4TUHKfEUFnH+gOg8EzQOU06zQJM5mLruBn5DkUnt1+uB/MJbsW1lWz1xD1QDlWT971vdPLeIZeVkyjmXx6ihICbOCnpegKBVxLt09mlBmLejNqW05zgpUIU6s7ZK8/ERg56K5qKS0Zpk6riyivAisng493BtHPOz5HA4jwrSg5ejYuspyy2DBafDycpM4LymoCJNS5lNFGYoAe9ph1rZNsqJgdxhLLVLHpmXpdF2DoqyYxBl7wxhVMCv2vLvcfO7jPc+u7hoqx34y0/mUqXzf5KUCCrSMkzbzGjjVFRnzeh6lkllCh5OESZxI1ybQbRisNE86wPKi5P6hx8NewLEXowuBaQgqNOymhqBif5zQD1LyvGDBtXh9vcFfvrfO6xvtC0FPXpR8tD9m+zgkzgqudx3urrovtNasM3u2B1Kc/PpGi7duLDyTLfpP7+zxv/3FEw5GMZam8vJKi//1zRuXanv/LM8V8Lmaz/R88XqXlqXx7t6Yrf7TNdQvAvzMd3ctuIY8q1tonKi1CGJ5hp/mFRXMLnvb0ljvWNw/9LANlZ6fUcisORqWfgYA1VR7DQjW2hY/ejwkyUuKoqQSFbpQaDQ0VMVmwTEZhgmHXowWKqw3HfbHIY8GPrpQMTXBOMkoJ1IH1LY0VCFo2TqOqbGSmwihMAoy9sYRwzBHQUGpkAeQMOPt7QF3V5uzZN1n6XdURZ5Jbw+Cc1mg89YU57EVp1mhOi1aUwTHXkJSSN3SPBtkagqPej5RVmKoQnaFwQzUqEJhECosNUz6XjILdqxBS3/ueo99eX/q1Vv9/fx1dV0dxxSYqmR1dE1gT/OgLE2lKGWbd11f0QsS8lLmDhm6ih/nOKbKIEjIyopRkM5u/9MGO3CxHmhei3Raf1SHHjZMjXGUcuzFkvFTKoqyQhMmLUunaWlc6zpomiAMU5lfo4NjCKJUttunWQGKwsE4ZLFhcmPRYRymtEy5UgQIk5IwKUmKggXL4O5y+7lJzPC0fmLerq5NGaV+kCIU6Dr6bLVVlOUZPc/BOOKd3RFbg4D+OJ7atF2+crMDSD3PsZcwDGWkhWNorHccFlxjVjRaz+5Aducd+TFJVqKZoArBta7JtbbNo77HJEygrNjsOnzj5WV+5wvrz81Uen9vzJ9+3ONoEtE0NV5ea/HS0vNB4el53PfxooKOq/LSUvOZoOd793v8h5/ssj9K0DXBm5td/tdfu/5CdvnP6lwBn6v5zM/Ggsv+OJmtmu5Pj04/b/BzurtrZxCdyPCpgREKQCXrGiqFOJWW3bsrTTYXbB4eBTiGTlHJg6mpKqS5tE5vj0ImSTZzfsHTtZtsWc/Y7oc86PkoVcWia3Ct3Wac5Dw4UOhHCYNJjFLJJm8qhWEW0rJMuuiotsLeMOBIVbnedTANQejlmJrGetuibetMJUEsuAZZUfDO7kgG5BWVBHQKrLomd9daJw7Ep0HKKJI6jtMsUFkyO9BeJiX4NAiqmYeamZlng/IyQxVSA5XmJUJR8IIEFUG3qVOWlQxKdHQGfgJCQRQViw2pJYmzgnGSkyTS3dZy9JlDyTakbkpXVfKyZBSmKJXMkFlqmLJCIyvw45y2o9NxdRxDJchyqd1BirRVRXDsxxiamB7gFExdmQEQW3/KLL0I2DkNVi4EO+fogeZ1Sbt92WJfM3kyByjnaBKxV1akRUkQ5wihYBs6a00DXRVomkKcS2dd309QVeWEq+xgEnE8STiYxHhRykrTZLEh841atk6Y5jw6licKtQV/Pm/oeY/9dP3E9a5NpcDjXkjPTwiTAssQpDnYxvl6nrwoefvJkPf2xhz7Cdc6NjcXHG4tNTiYxByNE4I049hLqCoZvdCytTPgqS5g/fBgQs9PSNMSUyhUlYwX6DomR37MO9sjjryE1ZbFX35tjd99Y/25+pytnseffnzMzijCMnVeXW/xm6+8eCHozjBgGKY4hsa1tvXMMtK3Hw/4zz/d48iLsUyV19Zb/J1v3eal1dYL3eZnda6Az9V85kdTxawEtO/J7JYHRz9/8HOe6Hk+w+feWutEVohlqDSm/Tx1onFelZRVhWuq5AVTrUGBbaigSD2AF8nHBJz4UF7r2CwVJu3pQaIfSIanQhZzvr7R4qfbY6wFlSjJOfYT2RauCwRw4EWMooyNro2hCcIsJxxI4NB1DZI8Z6lp4hgqm12bggpX0VhrOShEVFXBT/fHZEXJSsPCy3JudKUVfqlx0i5dg5TTLFAdbNhxjec6w86b+TXgeSuxeg214MiOMk0VDMJEamg0lWVXY5LkdB2DYZiiC4VcEWgK6JpgHGa0LZ1EUzA12c0kdSkFqiqb0Tu2jhfLUlMUuYYMkmLG1AAEWX5i5TUMUqpaYK6paIrx1PXV0s8wYafF2BfNeaLpp2Dl2SuyenpewqO+B6VCVpbsDUMcQ4KRpqVRKSVpkVNMU6dNTTCpYKNjyfJZU6MsFaxpOnFelbNE6Np1dTCKiLOSJCtZcAyoZNfZ8lRTtDuIZquppCi4vXQ5C/5pRqrO6HFNjWM/nQYSSlelgkzjrpTq3NZ2CXoGvLM9YhClLLom99Za3Fl26U1S/uLJiJ4foasaSw2DtmuwPF1tzf+d9ryEDw/HfHTg0w8SgiSnZWgstU3KCtbbDrvDgJ/sjDgOMhxD543NDr9+Z+m5oGdnEPCDRwN2hwFFVXGza/OX762+sNax1vYkeSnddisXsz1bPY8/fO+ArUGIpcnwyN/90rVfGdADV8Dnaj4nU7d3H4yjmcPqF7H2mhc9z6++6gyfN290TwCjIJb1F46lkeYVQVowSeRBc9HVCBJpmc6zgqKsyAppn+8HKT98MuRaKz5xJlnra756s8uDI39akhrTtDXatsFKx+JgHFMWFStNjSjLGYUJh+MYS1O41nEZx9IB4hiyA2x/GFKUJbGpkxeQVyVKVVEpCrpa0rI1NNVBE4IjL2JvGHHkx5RVyTiUnUYrbYuObXB76WnK83kskJ9k6Kr1ws6w816H+a/P0gipAzhhL7dkw7mhSrGxpkgmTVEVGRCpQXcOmMwzMPPXcfpn512u/pmlyXya0wzORTEAzzvYPyvvp+NKXdhpsFMXq9Zg4VHfo8jBS3O2jn2SrMQ2VQxdUCQ5DUtjZxhh6ipLrk2aV2wde1Qo3Fqy0YVAphyDqiqo4mRdRs0iHYxlE3sdpqhqUFYmZVVxME6k1khXzxR3Pm9OJlPLGo6OIbNzJmF2JpDw+qLFeVb1+rp++LjPu3sTiqKka+u8tt5irW1JEfGTATvDCF0I1jsGyy3rxGOtJ05z7h96PO6FHIxCxnFG29ZZ6zrcXnRZaBj8dH/M97d67AxiLF3wjZcX+N9/8dpzGZuDccS3Pzzggz2ftKj4wlqLt+4sPNeBdXriNGfrOGB/FGOoglevNXll7XwQszMI+Pb7R3x05KGg8MZml//TVzZ+pUAPfI6Azx/8wR/wH/7Df+Dtt9/GMAxGo9GZyzx58oR/8A/+Ad/+9rexbZu//bf/Nv/yX/5LDMP4xd/hq/nUpwYBO4PozNrrMnqAn2XOW33NW9ThKTBqO4KiKFGFICukPkWuaYpZDtDeKAZFnq1TydDDLCtnoCovyhOPaT6d2dRVhmHKk55P0zRYbZmMQoUgLckLhZWWy3bPY5IUNOKEhqUxDqcpx5rKneUWeVVKHVCYEqQZQVKy2jRxLI3Nrk2UFYyiFDeVydmagCjN+fjQp6oqdkYRG22bvhdze7nBYsM6A2Dmgw1fxBk2fx3PmudphE4zKufZy2v25bzL/6w/O+9xXAbgzF/nZcMNTz+O+vdqXdGDQ48ng5CsqHAMlXGUkxUFiJISDdNScQydMJUMZS+I8OOcpq3TtHSopFbFNk7qZGptynyXmCoUVFX+DSw3bYqilF10YY5QlFkj/O1pkvJlXutayzOfTF2WGo6pQaWgqgphlp8IJHQt7Qw7U1/XfADgasvhyzdaNEydtx8POfYTDkcxmiZYbVl8ebN74rHWs9sP2J/EPOoHUtNTlFjTeo7byw5vrLf44GDCd+8f8+Q4QqgKt5ddfvdL1557spYXJQ8OPD7e95nEGesti7duLXJv9cWyc+oQxkf9EEtX6TrGhdqgB4cT/uLJiPf3JlRlxVrX4q++uvorB3rgcwR80jTlb/7Nv8m3vvUt/s2/+Tdn/n9RFPze7/0ey8vL/Omf/in9fp+/+3f/LlVV8a//9b/+Jdzjq/l5zHlrrx9vD6X+ZvnFXA4vOhetvmqL+r211okP/zgviPMSTUgralEyywHa7DozEIVbMQwTgjRHEwqBKuRj6ofcWmnMHlO98mmYGh/uyw+ng3FIUULHlbqTpDAZ+gnVUoMgSskKGIYyjThSwRAqVZ33I6Yt1KmGUBLyqiQrCo78iijJSYuSlZZJ09EJw5wKiNKUnIooyej7gmGUMIpzFhsGTVNDVcSJrq95RuMyzrBasHyeMPqy66BnMSqn12YXAZPnsTKX/dnpOS/MEE5azWsW6bQd/jTYqddKp8FXnaYcxrmsRtBU+pOYnUFIRcVq22S5qWPrzlSXVmKbGsMophfEKKVgfcFmo6POWNViyqLM62TqORhHs3DAuktsuWkQpgUH43i2kvokjfDnaXlWGjZZVRLGBXle4UUxqipYa9pYiyrjMLmQSdoZBGcCADcWTLw45+0nE8ZROuvtWu+Y0xqIs26r9/fG/GR7SDplbKuiojvtTFtqGrRMnT98/5AfPh6wP44xDYX1ls3vfOEad1eeDyR2BwH3ex5BltGxdX7t9gJv3eq+UF7PwTjiOw+P6Xkppi6T4e+tNs8wTXlR8p37x/zZ/WPGYYaiFNxYavDVm13euN659O19nuZzA3z+2T/7ZwD823/7b8/9///pP/0n3nvvPba3t7l27RoA/+pf/St+//d/nz/4gz+g1frVQ63/o8782uvBkc9WP2ZnGHHkR3xps/NCKc8vGuT2rNXXq6stXluXZ2Q9P+HD/QlFUZFVJV4kizAVReHRIOTucuOESDrJS4qqwoszdochaVHxWITseRFvXe+yseDOgMT8wU5RFLwkk4nTomSlabHWtMnKgse9kJ2hFE9rikLDNsiqiqOJPJsVikLXNRCqiqPLzB7bUOl5MakKnp9SlCUNU8cyVfSpDuZoHGPbOpYuSIqCjw8n3D+UWTcNU2MUp1xr2bQd/Uzw3DOTnU9l+MwLo+cBwbNAUf0aPQskXQagfBpzmTDDWqxdW817XjzTDRma1Bg9C+wAHI4isqoiTHLCtOT+4URay6sKUxd4XgKiwjYEQhFsdBosNw26joGX5Dw89vHjgqWmwaJjTqtEpmJv26AsK6KsOJF7c5rhqVdXrq5xvStf83kdz4s4teqp2Yq+l820PG1HZ3sc0vcywiRjGKc4us6tRRfXVmnaGndXGmfYmRpAff/RgHd3xwz9nLW2zb3VFm1b593dMQ+PfRqWzp0ll5dWGiw1LG4tuWfARpzmskeOimNPAlNdFSw1LW4vumwu2vzRe4f8+cMeIz+lZeu8vt7hr76+wq/dXnru455vb3cNndtLTb68+WKgp2aMjiYJUVqw2jbPONDq5/ijowl/+NMDjr0EUxd8caPDq2st7k3DGH8V53MDfJ433/nOd3jjjTdmoAfgd37nd0iShB/+8If81m/91rm/lyQJSZLM/j2ZTH7u9/VqfvaZByCDICXNS7YHEVFaXjrluefJrixNVdh8wRTS06svU1VnxaSWrsrrq5j9/6UGDOOUvKhmLNWia3FrWX7IuuOYvVGMaisMgljmpWQ5T3o+j49DXtto8eb17uwMtr591wxngs40L+n7CUUl7dR3VlyZIZTmUngcpnhxjqUJybZkxbRXqWLJtWnZGkJId5cqFBqGAVT40/A1XQgsTR5Muw0TTVE4GEdEibQSj4KEIM7wwowfqyMMofDW7QUZiGjoZ8Sr52mCzhNGN239hOX7IlA0CrOZjfwil9R5jMtp9udFwPBlGBxDE2dWVacfU201X+/YZ3RDNdipe9XiNMdPCkZRwtEkYW8YkpWVFPKWMIlzslK60lqWRtuUdRxrLYcK2YWW5hWTSGpyOrZOkBYc+BGaomIIBcdUUSoFRZF6noaQrqm1tn0uw7Pg6tP062Ia4PnJdDz17AwCfvR4yOEkxtRVbiw6XO/a7I8THvYCkqwgzkqKssTSKvKqZL3dOLfXr87oeXd3SN/PyIqKax2L5ZZJw1LZ6vuMopSGqXF70eGt213e3OyeYCznxzI0FAWCJMfUVGxDxdJVbi87vLnZ4b9+dMSffHTEwTim6xp89dYCv/PG2qVOyGoH16NeQJKXvLTs8vpG87lBk6fn/b0xHx1NKMqSO8sNvnqjewb01OzXjx8PeTIMMTXBvbUWv/PF9Z+7dOCXPb8ywOfg4IDV1dUTP+t2uxiGwcHBwYW/98//+T+fsUlX8/kbS9fY7DooomIYyNC0OuW5ZknOm7wo8ZOMDw4m+FHGvbX0hSsx6tVXz0tmzej3j/wT1ze/GsuHMlNnbySLRneGEfd7E+6ttKcWXilU1oRAAe4fehyME479lGM/wY8yvnVnidWOfeL26+sHhWMv5mASEacFNxYdbq806PkJZQlLDYEfB0zinI4jxdV7Q5lC23Ii7q66OIaGo+u0HJ2WJZOGJQiSjrRBmCIEjIOErmPRcXWyqkJTBHmZUxYKR5OQIK8wBWRFybWOA9MixEXXmvVxwbNBUC2MnhcNXwSKaidVnOfTvJbqTN7PfGDheV8bprxtP8lOWO8vC27OY3Dq++hF2ZlV1Xk29tNsVV2NcTCSHWs9PyHOS7w4w9RU9kYRhi7wgoyWq8t+NrVCFSprTYvltszb6XkJozBFUwVNU2eSZJRZRRYVxEXF8SRGCAVVgGKooMjv25aOban4Yc4gzDj2R2cYnrZlMAgTGe5ZlifWXS+i46n/LmsmV65oKzrO086vQz8mK0oUpcIxBSCdeHeXG+eKhetwwx9vD9kbRjiWxksrLguOySBMeW9vQt9P0DWVO8sN3rq5wN3lix1P9f3r+ylFJgFs29FZbciwxR/vDPnDnx4wjjMajsFXb3T5vS9fu9SJ1c4g4L99dMR7e2PSsuKlpQZfv710qRDH+XlwOOHDgwl5CYuuyZc322dAz+Njjx/vjPnvHx2xN05o2Bpfutbhd7+4/nM1i3xW5pcKfP7pP/2nzwUd3//+9/m1X/u1S12foihnflZV1bk/r+ef/JN/wj/6R/9o9u/JZML169cvdXtX88udGrz0w4Qkq2hbGlkhG77f3Rtz5KUXnmnKszkFP8p+pkqMebv1wSTiwdHkzPXV9RsH4wihKIzClLIEKnmW/njgz8IMnwIgC11VsQyfnVFEz495d3dEMKWtV5vOLO+kZn/ivGCxIdmafiCrDxZdWSNg6yqTOKNta6SFyijKCOKCUlHIioKOYrA/ShBKSloU3Fx0USpo2jqVwgwEFWXFUsMmK0pMQyFPFXRVoWVq6KrBJE5JK5NwEFCpGrvDkDgtSCupEVGViusLDRZdnY5lsNA0qapq1hNWO5E6zsWW74tAUe2kOq8CIy+zWWChN+1fmv/acQ3yablsXsAwCBhF2glW6Xng5jwGZz6rZ569mX9M51Vk5EXJ4UgG6/X9jINJRFmW9MOM1aaJrgkWXVOuTyuFpZaFa6jYuixTHfoJYZqTZjpYYGoaQsnQVMEoSkgKmfRtGCoqFYaqAApCVDRMFdfUsHVBXsGPtoZ4cY6hKVzrOrimynLTxDVlUOYkygmTkrwqUdUX1/HUc7J24ml6861l+b748faIgZcQJjm6qtB1TVZaFi+tNM49WNe9Yk8GPkcTmaO00bZ4da3FMMjYH4Y87oeoasXNRXfK9HROgJ7516k316s3DFOEqtBxNL56QzKxP9wa8P/64TYfHXpYuuCbt7r8zbduXKrT6mAc8Z0HPd7fly66jbbJb7yyxJs3Oi+04npne8iHBxMmUUbX0bm31jrzmfb21oD39se8uzPgKEjRBNxabPAbd5d/bpVAn7X5pQKff/gP/yF/62/9rWde5tatW5e6rrW1Nb773e+e+NlwOCTLsjNM0PyYpolpvhiNeDWfjZkHL5MoQxMyn6aqFJK8mmlv4iw/l2be7LrcW0s/lUoMTRVnrm97GEnRZdue1W+8tzfG0gV5UUk7rm1gqOqsBmMeAG12HbYGPu/vTXjSC+gFKaN4yMLAZL0V8fJac/bY5rUzTUvjwZHP3ihiux/gWCpu1+Fa28bWBbv9iHGSo2kCL07QNQ3LEKw2TfbHETsD2VgepzkNS0dVFMpiaptWFRxLZRRkdB2TJCs4MGKSvEBTIc41TLXAsnSyskRXNZKsBKVkzwvJSzj2IxxdR1UFTUunzEsMXeOlZZeOY6AoUgTeto1ZU3v9HMNZt9izND6n837mQcjprzXjM4pS4CSrVIOk54Gb5+mQahan/vfhKGJ7EBLlsnne0GV56iBI2er5hFlBBSRpjqVp5GWBoQqWmgYVsN6ycSyNpYbJkRchVCTgKSpsXZCVcrU6DBPSssL3EgxDRUwBIdNgwuW27J4TQJiWPDj0YHrCGCYFKCUVGkmSs+CYREnBJMpOuKzq8MEXYXjqeXzssdUPz9UEHYwjPjz0uH/k4cU5aV6y0bFRFLi16Jz795oXsqX94wOPcZSy2XXoujJ/6uMjnwfHHkdewuK0duIr17vcXW7NQMZ8ZUeal1OmNiYvZfx6xzVYbUhQttQw+aP39/n2e4d8sD9B1zVuLzv89Tc3nlvtUAPfR8c+O4OIoihZbVt87dYC91YvrrA473p2hgEfHsgTr66j85Ub3ROOrLwoeXdnxP/vnT22xwHDKKdtypOzv3ZvlTdvff4TmS87v1Tgs7S0xNLS88Vel5lvfetb/MEf/AH7+/usr68DUvBsmiZvvfXWp3IbV/PLm4t0FzXYeG9vTFqUlFMNhaXLwMCjcUxvEl+o+/m0KzHq69seRmdcX1+83mXBMdifxHx85NMUOpuLNpsdh4OpxqcGQLOcoM0umx2H7z8acP/I48iLGfoxeS5D5g7HTx/bvPUdmB6cdSZxxv4owlQ1mo7GSsdioaiI8xIdhYKKh0c+kyjDNVXWWiaOoRGlJUEcUyDrMpZbFi1LJ81Luo4841enmiBDFRiawG/kvLtTsNgwGYUptqZSKVDkMIlL8iwnTDSKMsY1dfK8QKiCsoSDSci1hs0wzdCEwoJjsugaJGXBWsvmjWsdGqZ64uD0PHfW8+zt512H1EOdZZXOAzf1/TnN4NQ/mwc5eVHy0cGE+8ceWV6RlyUPDgPCLJerOQWSsiSJCyZpRlrK18fRpY5EVeFGu8Vqy6JlG0BJkheoGfR8UIVKy9QI4gIF8OKcuKg1N9AwtBnYQZH2dKFUcr0FHI9jHEv+fphKsGpqKqsdA0vV6boyfVw+fukym09qnn/e5+dZQvP5xOOqAsdUT1jlZW7XiJ88GXLkx7RdndW2Rcc1zmUz6jkYR7y3P6LvJ7imyitrLRxLZbsf8uH+hCgrWWqY3F1u8ub1zqxVHU4yT21bpyhLkuIpozXfs3cwjvh//PeH/OjxAC8uaDo6mx2H3/vS891bdZDkOMg5mMRUwO2lBl+60Xluh9b881czUYeThLJixvTUoKe+zMNjn//ywQEfH3kkecVay+L2coNfv7PEW3cWn3tbv0rzudH4PHnyhMFgwJMnTyiKgrfffhuAu3fv0mg0+O3f/m1ef/11/s7f+Tv8i3/xLxgMBvzjf/yP+Xt/7+9dObo+51OLkC1dPfdsch5Q1DR5MtUBjIMEhOC9vfGFq6yLKjE+qcDv5nITVRVnXF95UbLWsVlsmpIRGkl3ymYH3thon7C41wLo+iDwtdsLrHctPjrwOB7HHHoRbz8JaVoBXpKd0TTN5/70vZRJnLE9DOj3ElqOzvWuQ8fS2B3H/OSxtOWOwpxBkNI0dVq2bGcP05xBkJCXFQfjmKNJQl5U6JoyO4NuWhp5JRvoO47Bmzc6TOIcL87QhExS3htGtE2NSBU0TJUwEVQlpBUkUYqtG4yDlDgpGQQReaUgKGk4JlUpz7D/4vEQTQjaDYPrHZumoc1WZQ1DY7VzMg36PFB03v87jzXqODoNUz3xe+et3B73Y9q2MQNXh9OQvaKseNIP6AUJtq5NnVEljwc+fpwTJjlCVSjyp2nejq0xnMRoqiBNc1qOwVLb5HrbJa9kR9Za20JFkJUFuqqw4JpEWUk2c71BnMm8nONJjKFrCBQWGgbjOEOI6WrS0kmykg8OJ+gIHCsDKpqZLA291jWJ0or1tsV62wIgySvivJiVrs67zE7PvJNtfxxRA8Wawav/3+N+wHv7E/KipOvovHGtzcaCS89LePvJkO1ByOO+z7Gf4hoaG02bL2522VxyLtTN7AwCvveoz8BP0VVByzaIspz9ccTRJMbSVRZcgzc2O7x2rTW7nnl9Uc085ZXKStMkyUuWG9aM0QJ4Z2fIv397lw8PPNku37T4+p0u/9PdleeujOrgw4+PPOKsoOvq3Fp2udayubv67A6teuocoXkmaqVtndsU/+G+z+E44vEwxDZ01tsaX7u1yMtrLd7Y7Dz3tn7VRqmqaWPfZ3x+//d/n3/37/7dmZ//8R//Mb/5m78JSHD09//+3z8TYPgiq6zJZEK73WY8Hl8Bps/ASAo3ZH8cM/DjM8Fppy87/8HlJRm9SUKSZrQcg9vLTb6w0Tp37VV/QNTW2fPKDF90TmsW5q8T4IODCXFanAmEO/3hWyfkrncs8rLk+48GfHzos9XziPKStabJG5sd7q20TuT+1M/JfMT/MJQVGRtdm5ZjoFQVjwch4zAlzSoUoaBrkJcVpirouhZr0+h9pYIoK4kzuUoxNblqNDUVXRXkpUx9XmqYxKnssRqFGZVS4UU5YZrhRzmmoRFO+4+KoiTKCzRVQUGgKwpbg4BxlCIUlaosiLIc19Jp6CoIBUUotC2dpaaFrasoQJZXrLRNTE1g6zo3FhwsTdB0dDShsLngnnFF9f0YRVFmOsCBlxDlUvRdKRV+UhLEKbau0W2YFGWBKlSKsgAED44m+LFkdBYaOllW0fNSwiwnL0smYYaflQilQlRg6SpJlpMUFSoV3ZYFZcm1jos+jRfYGYZoSL1ixzVZbZvYusZWT4JxS1dp2rKDrFIqurZFUUpdmxenLDUsSgXyvMJPc8IkxbU0VhoWKBDEskE+r0ripMTLcgQVhqqy1DKxNMFLy00apsaxn2CoKnU6dJaXNO1nV47Mr4iitOBoEtMPUhqWxs1Fh4aukVXVif/nJbLc9fX1Fq9da8/e/w97HsMgYxzlmJrCetvi124tnmBnTs/OIOBHT4Z8dOihKlJ71nJ0FKTuraxgrWXxlZsdNrvuuSzPeX//86xVz0v4zsMj/vSjY3aGEWGac61t89e/fI3/+QvXnnuyVH/WPDoOSfMCQxPcXW5e+Ll2emqWrGa5XUs/k6INEly9/WTED7b67I1jFFFhqSpLTZO/dHeZly8JsD5Pc9nj9+cG+Pyi5gr4fPbmYBzx4f7kDBC4CJTMn0mmecl230fTBZamcnupMfuAfR5wQpFrnPPSXy87F13nrUVZCXHRbc0LKeuzufpxu6bKo17AgyOPnWFAnMs1yXrb4e5ag6/fWjyTnzMfBDeOZKN8ndjcMFSEoqDrslai5yVM4hwBWKagYWsEcU7XsdjoyjPeSZgTZgWDIMbQVLKixFBV7KnmZRgkhFO7/IJrsNIwCdNipgmxDMFOPyRIZYWHpauM45RJkDEMYwZhRlaU+HHOJM4xVEGS5yRZhaKApQlcU5UOOKEQZXL95BgqlqbTsIUsarV1Oq4UPDcs2Xlmairbg0CWh3oxi64skFSBSZojPXUKQSoDMjUhWGmZqEJQlhVCKCRFISsU4gJNgG2qRIkMgCwV5AqxLAnTAkUBXVepStjoWrMy2wXXwDLkahFFoR+kKMDBKKZla6RFScc1yXJ5vVFSYmoKiqIwDFMapkG3YdB1DZQKdE0hSnKZtK1KIHfsp9i6SlpUZIXUEWWFrErJChkiudw0ubPcQNcER5OYBcfkaWAiT9Ohn1Eye3rlUq+IUGBvJEM2LUPD1lTatj67/nGYstK0WW4ZWJo2fc9HjJOMg0EEisJi0+DmostLy+4zLeE7g4CPDj3e2xvhxSWOLri+6OAYmuxu01U6tsHmgnMmgPGne2PGYfbcv/k4zfmj9w/5f/9om4NxjK0LXl1t8puvrfFXv7B+qc+Dt5+M+OBgRFkpbHRtGSp4ic+X+jmeZ8k0Aa+ttbl1KruozkD6/sMBT/ohUHFr2eWt6wvPZMs+73PZ4/evFty7ml/JqRN/Z0CguLjaAZ7avB1D5b29MRPHoB/GjIMcUUGYZEzCjJfWmic+AOtsoNPVFPM6nRcVbp53nbXu6N5ai7vLDVwzPve23rzRZbObnHjckyQDUXF3pcFay+Rhz+a93TE7o4j7xx5BnkMFPS+m45on1oOn1192qlFVMcMoZRLntEyDja7JescmOvblmbhpEoSlzEeKAyZRys1Fl42ODaLCjzUWHGPW97U3TgizHFMXDIKEQZBhqoLjCvLpOVbX1fHTirZjcnfNYMk16flynTYKUirgyEukpb/ncTSMyakQSsUwyIjSgjjLCZICw6ioUqlXyrKSxNDQRcrBRMHSQ3RVsNzQySqVpqHipQUtU2USFzQtFS+S5Z7jaWv1sRdjGxqWruAnJX4kGZNJrNCyTPwkAQRZPmVyFFmGmRfFlDmCtqViaholFZuqRlhUUBZoQmG56WCZAkdX8UIJ6LYHEa6l0xvFtFwTU1dxLZ08zFCAKC0wNYGlw+3lBn6U45oSGBVVyXLDkI42VydKZL7Nk0HIdt8nKyoalk5JSV5UNEwNyxSESUVDMWi7Oi1Tw9Y1qqpiuWmdu8q6SGN32u2UlzI4MSkKqrJCVwULrmQMh0EKVYlrqbNS01tT8e/BOGZ7MGIUJQyDjKxAspKWxnrbeS7zKpmeAY+OA8ZxSlPXcUwN85y06fnHEac52/2QcZSR5CV3lxsX3lZdRvpf3t9nZxShAK+sNvjb37rNaxudS38mDMMEL87o2ta5oYLnTQ1k6sgAIaBl6OeexNUZSD/a6jOIJIP90nKLt27JfKJfNZbnk8wV43Nqrhifz+6cPqs8TUmfB0rqvIrdYcT+MMDPClxDcK3jsrFg89UbCxe6Qi5aOX3S9VftvPjBowHDMDtxtpak+UlXy9xZZ72uOl2HMfBjAHp+ysE4Yn8cUpUKpqGw6NpsLshi0vWmdeKMsL6+OiywHyQ87gVM4gwhwBTqzBpv6SqDIKUfJAgUmpZOUVa4tkrXNmnaGkuuXDHJy6XYhsDQVNJMVhYUlWwpVxUFVUgR9PxqTBUKmqJi6TI5WlMV1lpPH/cglDlEx148FY1njMOMvYGPpmloQlry07xC1WQNhmRaKjQUTFOlKgoswyDJMyzdQFcrGpa8T+HU4RYlOcH09yxNo2FpeHGGrgiars5qy+JonFAqJYYQeLG0tXccjTQrKSoZn6Hp0q2mKQppVtJ0NPbGIUlWYqmyBb1la/hxRsPSGUcZlq6RZAVtV0fXBF3bwItTmpb82nFMdKFwa9klyyvirKAoZQ2Ebao0DH0amZCw1ffpeSl9LwahsLlgs9a0mEQZeQULrk5D15ikOT0vQVEqVloWXVemOT9rlVW/j4HZCnUe8IRpPiOLGpZOw1LpurIr0Y8KOo7BctOYubVqUX8/iBgGGaMwo2npLDYN7iw3nsu2nkxklnEPK66OYxqYumClZfPl62dzbODpeuvjIx9TE9xYcHhj43wnVb02+v/8eId3dkYkZcmtrs3f+sZtfvO1tUt/BhyMI/7w/X2CqOCllSa/+erKc0+kHh97/Gh7OKueaDu6XH13rTPMzc5AskHff3jMR0c+lq5yb7XFN24tcu9a+4WDED9vc8X4XM2v3NSZOXVo37x4uLaBnwYlN5ebmLrGg6aHZaj0vIi9UcTuICQvq6k75qyQ+TRTcxmm6TL3f97WnhYlQV6wPQzoOnJtYRriRAfZ+/sTlqaiytfW5R9yL0h4cOiT5JUMT2splJSkRUmWFaQl+EnC97ZCBLDgmNw4dri71ODeeoeOo58JC+zYOnujmEmcEqY5KgpFVXI4SdEUldWmSV5WsldrmhJ8PPFoOxrHVszLa63Z/TdVDddUmUTyzD3NCwkEhIKqIJmUJCHOSo4nyZRZmIIeocjsnTDDMbVpfo48a391vSX1OWnBVt9nd9AizgtcUwYWBkkByJDIUSjPjBumwSSWIYOaAE010HUVDYW2rZHkkpXQFIUgyVAUpJuqqvCnAm1QUAyBFWTklQRYlQaaCpUibeGqEIyCBFPT0fKSspBBhZoqAxcNBElVUVYVLVvH0VWWW9Z0NWVRFGCbgq5tTRO0ldlarf7asQ0apvo0V8ZP2B/FHE5iKkUhSnPKUrq1mraKbdistRyuL9pM4kyCwbJCUwWGKVgyJVMEnGiSf1alx3xVBTBrSZ8HPI6hIabt7V3b5Hrnqah5FEmH4bu7Y9K8Is0LhmHKwEsQquDWNNLgeuf5LE8NXD48mLAzisiKaR6RKigoaTsWqy3zzHWcPqkxdUF7KuY/D/TUmpxvf3jAR0c+VQWbXYf/+YvX+EuvrFz6779uSQ/iAoC2++zDb63l+d6jHvvjhIapsdo2Z7lBp1+fnUHAn3x8zPv7MpRxyTVZadv8lXurvHG98yudxPyic8X4nJorxufzM/UH37wOpm3r59LH84LAIy8hynOqUrDRtZ5Lpz+Pafok7M9uP+BoWlw6z+AsuhamIdmTgZ9K7YymoGsqji41LR3HQBNSgJzm8s93HKfsTtu3q7JEqBKw9T1Zfmobgo1ug3urTb642abtGCcYsvox1gc1S5d6j+1hyLGXkJUlDUMKRdOsYBLljMKUtm2gUGEZKkLAWsvh7mqDl1ea04DJYubqmS/dTIqCNCtI8oogzWhZBosN2Qs1X+vwNPH4qdakLjhtmBoN46mdHGQZ7LGXkOYVLVtjHGfsDyPGUYYi5HUvOQbDKGOxYcrUXlUwDjPSImcYZlRVha1rRGlOnOZEeYljSDt7XiioKmgKJFNHVpmXCE0lyzJ0XZv2Npm0TB3X1ggiaSuP0wLHVHl9o03D0LENlSgtZpUHtVvotMOsfn1q1k8+h3A0SZhEKRUKTUvDMmSg4FrHwjU0JlEGlYKmCiZxxihKZ6xlXSQ7P89iVTRVzFKQa7Fyy5aM2OE4pSzLE4Bn1TW5tdKQNv6ymrXE9yZSo3LoxQghRdiKorAyDUSs/w6ftVKeBy7HU81LnJeIqqLrmpiGQtsxads6X1hvzxKdP8nfcV6UfPd+j7d3Rvx4Z0CQFDQsnf/p5WV+541rl2JQ5m/34yOfNC/oOgZfv714bto0yM+HrWHAB3sePT+hqirurjb45p2lc9mrnUHAO7tjvvvwmGGQYxnwxY0F3rjW5s2b/+Pk81yJmz/hXAGfz9ec96Gy1DD58vXOuR8QTy2g5wso5z8oz7ut0+uvi4DWZe87MCs0nV+pmapAVRWKQoKbJC+Is+kaRldZalos2gZxWeDFBVlekGQyk8W1NChLdkcJj44nJHmJl+TS8WRqXGvbmLrg3nLrjChy3r0yDyyhou/HlEgmRChy7VVWFbuDmDjLUYTCatskLyoMXWHRtvnSjTY3us6s9+hgHE0B29ME5Kqq5LrGlGur+v9f1HFVJy3XLqPT6cr1qqx+PKNIWvmVSlzIpmS5dKHVgClIcoZRRhBnTGLJZlQK+FGKmAq06xVZy9YIo5y2a9CxDSpFYcmVa8Ia3NSrqc0F+8TK8TybvKYKdvvBrHg0yUuOJjFJXjIIEkZBiqGpMl9Qgaals9ayWGxIfVbH1tkZRTzpyzb2li2ZBU1RnxswOH8fTju0+n7COMoYhvL1WG3LSIFJkuEn+QzwuJaGbWpk0+64QZCQ5hIYDaOUnidBh6VrNC19JrB+1lpr9rcyB1ygoufHjMKMsqhouTrLDQtVcAbMnHeSdBnjwjvbQ777qM9H+yPGccGya/L1lxf57dfWL6WVeZGTs/px1izPOJbaLlMTXO86fPlG90L26k8+PubDA49RmNC2TV5ba/HNuwsvVNj8qzBXq66r+R9i6vVXx9HJi4qHPf+ZWTwbiy6rHZu1tsWDI588LxgGGVu9gLKoaFvSuXLeh9rp9dfHRz47kaxkyMvyhT9k6vt1nng7LAvI4FrLxrFk+aMfSat1kpdoimAQyhRhP8lRAENVKMoKpVJQVZX1tkleuChCIUkLKTCNUt7ZHZOmOY97AdcPHd641j3Rn1VPvVbc7MqDnx/nMxZIgjAZ7uuYKpVSAgpDLyUpKpIs58jK2JtELLoGbUenbek0LJ31tsXmcuOpViTKiLOChqmfyHmZz3uZbzW3dXUKVqoz6co1OzQJpVi1TmzuOiaWLmaACJgFDdYhg/OvyzzjMr+iKUpZ8lkDGddUT+iSTr++54Ga+jrnf16vkPKiIsrk85yVFQLw05wgznGn78l2Q8fSVJYbFh1HupTm2SKAjm3gOXJNd7qo9fRclHI9ibITDi0/zTgYRQhV0DQ1hAKqBl1Np2sbNCzJMj0ZRDRMjUqRa8fdYTS14EtH3bWuM3P65VOGr65fedb9OpzEs/WYF2fkZYWCQscxCOIcx5D5PLWQuX5+z2j11Mtp9bZ6Hu/tT9gfhURpyc2uzWsbXb5+c+lSoGdnEPDhoTdziz3vdmvxtGR5JPN4e8nhKze6J6z39dSC551+zIcHY4ZBTreh881bi7xxTj/X1TydK+BzNT+XuUgY+fMay9C4u9oEUZ3QyOwMIu6uNs9oF562m2v8dHeEn+Q8GYYkuXS/1FH05z2G00CrTnz2ovyZGSPPmnmQMX+GuDeJUH2F1YbFy2sN1lr2mSj9OC3Jy5KkqPCiFBQZUueFOUUFrjYV2wqwTJVxmDIuKp4MQiZRwSTMubHcwFDBUKXld34VMp/KezCK6LrGbMW2N46IkxKhgmtohLG0p/tJhhelqAoUZUXfS7AMmbnTsnVW2haqEChVRccxWWnIEMD5rJ36wDVfxzH/9XS6sqE+XaUdewnJ9MA5jgWaUBiHKfvNmLajn2hAP6/JvZ5ZAnTDpGPrM+bqNDNy0Wt+OjARJOsYFQVlKVeUAy8lyUvGUTq17xe0LA2oWOvYiDSXidsNixsLLrap0TC1M2Bnfk4nVp+eeQalXm8WZcUkzqioOPblv5Oi4MgvcHWVooC2a07LTGUn1/WOQ16WBGnB0E+ZJBn9IOFgEtKyDBxD48aSS9vSadv6GaBzXqrz6bUrwIMjj/1JhKYq5HlFXlQkWUYwrfl4aaXJ9a47a5CfZyzrtdZ8U/xlVmk/3Z1w/2DC4SSRnWCrLb56o3MhIzw/O4OAH2+P6AcyRLF2i110u3lRcv/Q43EvnBkLLmJ56uv//qMBj459gjQnyqRw/NWV1hXoucRcrbpOzdWq62ef00nLcLF+4NOe+TO8rX4g7cwtg9tLDWnNbZ1kgGq3xl9sy5RYAbRdg+WWyasrrWcCoPoM7aMD/5mZGp/kMZyX4zNPzcPJdcT8ZW1DYBsakzBjq++TFzKJeHPBoSxLjryEoZ/gxwVJUeLFKfp0rWSoGi+tNLiz4tAwdPmBahsngtzqA70U10akecUokpqknh9RllAhRbRCUWjZBoamyDP1qEChwrY0KOVZsK2raJqgqEMRNXlwywpZHlm7gE7PeeuieXaoBjS1XqnWpqhCMmPA7Pu6e6vrGJQlZ4DRKMxmAuAXccbM3y8/zTiaJHx4MAEUdFUwmUYJLLsGRVlRAGVVSkF72+LGokuUFgih0Laf7bZ63v2on7OaXer7KWFakOSSvYunUQgN06BSIElydE1F1xSWGxZafZpcSuCiqYKtvs/ROJGuvjAlKypURcHUVbqujmvKz4B5p1h9P867j6ffyw1LJctL7h/5TCK5rm1YGnujkMeDAFNVubno8M07y3Ovy8nX/EXyuGoWZX8Y83gYcDCKKMqSV9c6fP32wrm1N2euY5oLtDOQcQp3Vtzn2sgfH3u8uzem56csNUy+sNE6l+WpL/ujJyPe3h4yCBLajs7NhQa3llxeW2/9Dw16rlZdV/NLGSlozWZJy4Ym1wybC/YnTkB+kanZHAA/yYmzkjSDDw8mHI1jri+4vLHZmQGyeabINVSO/YRhkDIOUo4nCR8cTS4EQPKseomWqc9cWntezGGQzAoMP8ljnnev1QzQeTk/9Yf4/GXnhcRKBdfaDl6c4SUZh5OY9ZbNneUGB4ZGMWMZdPYnIWlWkaYJTwYVO0MPUMgKWGlavLTq8vJSkyDLMTUNU1MwdMFyU7pmen7CwyOf1nQt0vdjELDgWtzs2jTsacbMlKlRqgqhCtK8IM0qojTncBJjTm3whi7Xe71AWva7jjkN6pOMQccxzrAG9Wsyv8Kqn8+uY7A9CqCcgpksR1NUTE0hyHKKXGpggqSg5ycShJQlmhDkpdQ3ZWWBY4iZs+r0Suw0E1SDsCgteHjsEyQFXpIRTSstWraOokh90lLb4s6iS5KXqEKC9Xp11vMS/FTWf9TX/bw5D+jMA4L9cUxWlCS5DIhUKvncLTVNNCGoAEuTqdyGJijKkhtNl0qRmTs7g4hxlPJkEOLFOU1LY8E1WWxoJyIKLuMUOw/wlJUErkEqE72blk5/ErM/SUjSAl1RcQ0NV1el3qss2R5EU7CkzbRe8yzPs/4W6xOmHz0e8vGhh5emlIV8vtbbDV691uS1a+1LPe/7o5hxlGFoKrcXXe4uPzshuW5Uryq4tehe2DZfX/Y794/Z6gcEacFi0+T2ksvra52fKWX+f7S5YnxOzRXj87NPnbR85ElhY1mVbHSdCzNzfm73Y3qWHaclP90dceyn6KrCSsuargpOdu/0vIStgc9H+94MAFFdjgGa780ZhglxVrDSMvnq9e5ze3ueNy+SKH2RODnNC1CkkNeLJCBcaBhYqsIkyXl45E91QgJL0+iFCX6S4oUZlqGy0DBlrQIqrinPuqkUllsmtxdc4rKAUsHSBLYlk55HoWw5hwpVlTb1tqXPLuuaKoYuRclhUrA1CLE1gTJ1+8R5yThMCZOCsipp2lIIqwuBbQiWmhYrDfOElucipqbWrIzCDFVIYXat1en7KR3HoKjkATgrqhnjYRkalSKZQdtQaVs6NfA67zbmWaZ67VaUJce+FPhqqqydMFWNG4vOTOC9sSAzWeoV32lRsSoE6x2LzalQ/Lz3yDwDeBroHHnJDBDEWc6jY3+aBK3SdFSalo6uqVxr2SdWgTXAzfKKcZyyP4zxE2mNDxOpOWs6OjcXbRYb5gmwU78PL3pPn36P1symF6VT4blM4i6qit1+wMdHnnwONTGroug4Om3bomlpJ7K22o6OoYkL+/3mZz4c8OHxhIe9AKVCApDFp/1Zl3VwvbMzYhjK/ryLcoFAvqcOJtEs16vr6Hzt1sKFnxf3jyZ8+6cHPOgFJHnBesvilfUWX7u1+ImT5X/V5srV9QnnCvh8OjPL2Nj3pkm+KjcWnRMFer+IqT9g39sdcf/IYzJ1SszbxOfZmfrA8UkA0PxZ4/1jnyjOWGnbfPOlRV5b/2Tan/l5Xp/QRY//dJWATFROmMQZXdfEUMWs2DIrSjRNoUJQZtLp5CcFaVFOe6YKFEWhaWozp1jHNjB1DcechtUpcKPjMg5jxklBHOVYtkbTkFUFYSqtzapQWGqYlKV0ramKwNIEeVWRpAUtR+f9gwn3Dz3yosKxNBqGRts2cKc6l6IsZ4nQp1dYaV4yDFK6ri4DFfNyFti32DBnPzt9GVUoALPrMjRBy9IZBSl5VZ24fJQWDIOUpaaBOmVkirLCmLpximmeT15WHHkJK00LTYG4LE4wTpqiSiB4jpOt/nJ3pXlG7wTMtE615qtmPtqO7HAKkpwnfR9VCFZaFroQRFlBVhQYqsA0tBON45oqiNN8Fg0QJlKzVbM7QpGOLNuUTEwNDJ4Hdubfj6e7vFCYCfTTvCIvJVjeHQYM/YwgzdEFRFmBY0jbu2XoNC0NdWqhP/0YnrUSnInKp3+vu8OIUZAwjmVy+HLD4pX1Jl+9sfDCoKLnJYyilI5tnAuW8qLk/d0xj/o+QVqiKiAUuLfWunCV9vbjPt9/OOBRP5BC+rbFV28sfmJW+Vd1roDPJ5wr4PPpzTyI6HsZQZLN/sA/qQj4Z5k4zeeyUKS+oWZn1jvWCUbqRQEQPP3A3+0HfGdrwE+2h+R5yXLb5Os3F3hptfUzaX/q+3UR+/MsNu30AWdvHDH0UzRVEKQyCXkcZpi6ykZXMgsd26CsKuKioO9nTMIUL5Z1FElW0PNSSiArZIWEpkngkuUVui5QKoVRlGKpqizddHTSQq6xOraOq2uYhoqhytWKOrWX1x9INQjYGwSoQqECzGmFgqkJRqG8/Yah0XFMWvY0u2bK+MyzOfP/Bs78rOMYJ36/ZWs8GQQkWYWmQZ6XZKV0/RUlLDZMoizncT/Aj3OWmxYtR2cSpkSZ1Fm1LZ28qlhyLTQB/TBFU+TaqBZez4M1Q5MruXl3WtvSsS0VS1PZXHDPaJjSXIIsVSj0vJhBKNdPQsD1jkOlKIwDaf02pz1qLUtHVZVZkvI86znPwmwPQkaRzEQ6ze50HANT1Z5rjz/9/psH4PN9XaoQKAokWYWhSZZsGGY86vkESY5QBGttiyXHoKgqiqqi5RjnAp7L3I/6M8CLM3ZHATujkCSFjbZF19V5da19ptLmReYi0NXzEv77gyM+2JOu07aj8fJqkzvP6CF7+/GA//jOHsdeSsNW+cK1Dr9xd+mK5TlnrjQ+V/NLn3n9yXxVww+2+kzC7BceoW4ZGmuGNrvN+mzvcBIzCvMzFvj6vt9aaJwBQPMaoLWmxVLDmmW0rHZsvnlngSDOuH/ksTeM+fNiwP2ef252zovMaUt9rf3Z6gUn7vt5vzfPFnQdY+aayYuSYZSydRwQZTn7o5i8gMVmLkslLZ3Fhs6iY8xWWVEiQ/mOJin9SUyUSQHuKEgplRI/zGYC61DLoajoBxFBWrJga2wr0HFkeKSpCaKsRNdkXcYkyVluyLPlx32f/XEsAVgiLfk3lhosODpVVVEpCmlaYqgKjiFI8gIvzskLA9dQadgqPT+e/bvtavQnCT0voqosXFNWZSRZBrZGnBVoikKSKVQlNEyNvCrJK5k+rauClaYEhFFWoAvBtbaFoaksugZFUaKLHKFKbVAFHPux1JwIBaqK5aZJkOVQKrQdnXGczlZ/jqmhi6frpTgr2DoOWWyYeNM4gRoVHUxiirLC1BU0VSUvSpK0oGnWtRi6BJFVOQvAXGpYJ1ZRM6H6FBR7UcaRn/Ck75+okFhpm5+I3YGz1RYokFdP+7pcQ2MYpIymgM8SGh3XZHcQkVcy4PCVFZf1ro0X5bO6l2unqlieN/NrtSjNGQQpfpJxPI4xdEGnrXN9yb2wxPhF5qJ15Hc+PuYvdkYEacaSa3FrweX1a+0LwxN3hgHfuX/MkRdTAXeWWvzG3fNDDK/m8nPF+JyaK8bn5zfvbA95b29MP0joOObM7VALRX8ZU+/3+172zO6vixigopJZK13XYKllnQBBeVHy5w/7bB0HjOKUiooF22SpZXwqYsSa/dnqSTv9i6ZJn85Jqc+Ai3J6Jh5IdqSahuQtTdN1i6LCMaQ9Pi4KxkFGXpUsuTZJnpMXFUGWU5UVR36CWin0/IRRmDIIMyxVsjdypSYrDspCMkstW+d4Il1CQhH4cSrzWhSFJC8YhymGLmiaOh3bIMpLqqrCUAW2LihR8JOchinFr2JqYxdCOpPajs7BJCZMc9ZbDkLI9nAFQcvRyGZrFoGlKlJHYuvkpUxpzvJy1qulqQqjKMM2BI6h03UNhkHC8SShaencXW1QVRWqImg7OkKApalYusZWz6dmliZRRt9PWWlZWLqYBSkCDMOUYy+m6+qkRcU4lKnNSw2Tnp9SThOtLU1g6CquISsoTE07oTla71gzO3792vtJwaO+R99Lp5UeCodejBdl9IOMhqmx2DROVEhcllWZ74IDTiRHr7omm9P36MEkYuv46ft3EuekRSnXfV6EEBrXF2xuLrhM4vyFWeP5lVad9OzFGeMow4/lCl6hwjYE1xddvrTZ+bms4vOi5N2dEX/43gHHXsJyy+S3Xlnlyze75z6Gg1HEg57H249HbPUDlKrk9Y0Of+31tSvQ84y5WnV9wrkCPj/fkbbNySzfYqlh/EJdX+fNRYWk5zmzzgAgTx7QyxJKpUIFGpbK6xsdvnpjAU0IHvcDPjjwOJ7EjOIU29BYaZi8tNLgldXmz0xZz1cJnF59Xdb6fF6uS9+X+othmGLpgpZlyH6xJEdXpeNHFQpCKGhCYb1pcXethaUpsxqJ+cydrYE/DWGUoYujMJMt7n6Cn5SoopqVkVbIxvO8rNCEoGGrxGnJoRejIDBUUIRCWUKUlRR5TgXYhgQlti7IygpdU0nzCksTdBuyhHMUJAyDhLWOg21ojMKUqqpomhooUt+iaYK2baJRsdSxyPNSrpdS2bOU5QVtx6D++BRCYOqCKM3ZH0Wst23WOhZCUXB0ndvLrlyVIvVDQZpLXZNQ6HkJR5OYlZbJatuerbHiPMeLMpKswtZUEFACrWkIpB/nHPkx3emab8mVFvjTbExelPS9ZJYd9LgfEKUFWVnSmyTsjSIa0+BOoSgEaY5rCLoN64UBj3Sg5YyCbJYJ1LI1ikICwIYlU7GlE0yf1bUURckkTnlwFMjOtarENaUYe6VlS+Zq+t6+jE6wvi/bo4BxINOvJ3HCwSSmKuXatWnL22+a2s/1M6gGMR8d+IzDFF0ofPPOEm/dWTz3fu8MA/74/SPuH3n0gpSuY3BzweF3v7j+MxslftXnatV1NZ/JubncRFUFHx56DPyUh8c+ZTVhb+z83M62njen10d7o5hhkHAwijjyoxPan9MrsO1RQN9LOZrEHPsJj458hqHsT3JNnZeWXd66tcDNRZfH/YCPj3yGQcz+JCTJc/bGEfdWWpc+uJw3F62+JlE2LQBVn/uBPkuRnj42kEzQ/eMJfc+YrXyGQYoXVpRCQShwOIlmOUEtW+dR35PXN3P3iBPP2fwcjqJZLcMkyTBVDU3A4SThcBxRAEJRWG4a3FhwGccpT3oh/UnMKM6l7RkFP4zJSouyLGlYOhUVVQmjOKWpa6BUaJrKkmuz2DBYsA0OTZ1rHYfVtoWfZKgIltoGSVqSFRVCVaCsUAQURcUoz7ANFQVFMkyOLsXMFcR5QVmA0BSUSkFBoSigN0lJ8oIK2BkGxFlBlJWstc1pxQbkZcHhKGYcZ6iqoOsa9P2U3iShaUttjy6kG09RpGZKqRQsPcNQJfNVVSVCUVCqiu1RwDu7GSDTm9uOzsNjn/uHHu60MX4QJCiKdOClZUFFRcNSuT51Zo2DfFp/8Xz9zml31uEkkQyULotSKRXals4kyihKCJKCYZhx7Ml4gK4r29ofHPk87oV4UYamCRabUoQtFFlee1k2c15L9OG+h59klBUIUTEMcjQFFlsmCw3jhDZo/m/g05ydQcD3t/r0vJS0KFnv2NxbbZ7pz6rv9493hvzgUZ+tQQAltBydmwsOf+nl5SvQ8ynOFfC5ml/4zB+o06wkzHK2BxFRWjIKsl9aqV59cF5rP1v7A5w5mPe8hAc9D10oHAUJPS/lz+/3eHgw4Zt3l3ltqmfa6Np8dODx8Njn0EsYxyFZVrIzCllvWrMVwIt+CM+31ku9jyKLTkMpyM6Ly7fJz9KKmyYdZ/FEUvSCY3BzwcXSZZGqJgRenFEi03SVSkzP9HPyqoD+046o0wesjUX3BCtU3/ZrcyGJ9df6+1+7uThjMPa8CKUSM2eUF+U0TX2mm9kdRLPCUCFARcz+3yjIZgnVDVOuh07XV9TroFGUkGYlSS4b0SdRRpaX6Jqg2zAZBjFRKvNjmqWKMn2K86pgFKeYqkqYFBx7EUUl0FVlWnhaIhSBY2poqqBja2hCYAjZLn48KdA1ddprpdK0NFabNllR0JwG+yW5TN7OioqtY5+BnzGJ5YryWsfBMVUJpLyEpVbFYsOg5ciP/VdWW5iaOrPj31pyTyRXP88RdZE7K8pybi+1Z4nOk0hmBdXsT8fV0IQ9E1bvDgIeHvkMgxRVFbyy1mS95TCZ5k9Zhsrd5fYz37+ns4CSvMBPM7wkJ0wzGqaBawqpxWroFzacf1oz7/B83AsBuLNy/iqtbn9/b9djdxRyOInRVJXFhsG3Xl7ky9dlZcXVfHpzteo6NVerrl/c1B9W8zSwqQm+fmvxXBr4FzmX1f7MT10w+M7umMNJxOPjgKwsWW+Z/Nar69xccdnsurOz4w8OPNK8wI8y0qoiSQqajkxOfuvm4ic+E50Pzuv7yQn9z+lW7ste93kAZf4sv23rrHVkQm/daQVPtR0LrsGrq61Lxf1fdk7XRsw/pvrfdZjhsy57mdupLd6PBwG7w5gkl71Tiw2Tnp+QZgWqKlCAJCvoB4m0xVeAopBkBYeeDGNcdEzMac6PpkowFqU5mlBp2zpZWU3XpwWuqaMggW1ZVoyijDAuWGga6EKQ5CVlVVGUMibgaBzjpylCUVjvOLQcgzwv8JOcl1da3FluIITM99nsui/8XMynPid5OXNn1etLVQiWGiauqc3yhyxdkFfljAWsgebhJGJ/nPD+/ohRkBPnBSsNk9c3Oid+5zzQPP/anJdyrgoFXYFDTzKglqGx0DB+pmDRy858LtB8ptfXbi2e0efUyfHfe9SjH6QIAYYQbCw6fGWz+0txv36e50rj8wnnCvj84qcW/n3nQY9xmNJ2DL51Z4k3b/1ymJ/5+/Us7c9FAGi3H7AzivjD9w54eOSRlhVrLYOX19p8687SLAG25yWMY1mQev/Q4/HAJ81kqNz1RZu7y00WG9YJOh5e7GA9r/9pO/qsqfs8K/OLXP/87dRn/vMlo/DUzVOvP54VwPd5mZ6XnCjyrFvh54MTx3GKH8ni2o5tzLKJ7h96JEWBrWsoihR8r7UsLEMlSnJ2BhEtVxaQRllOkpaYpkAXAkMTM6BTBxGammAcpqw0bRqWdsKuD8ws+jXQqetaXrTyYsbw+MksmLTOwVpwTTShIBQpVC/LappndDJ/qAbbfS/hyE95eOwxirJpbUdCEBc4prR2N0yNuytPAwMvm/Y8H2BYF6Z+fORTlCVLDZMvX+/8XFmeOM05HEf8eGcsU8h1lbajXwi26hOHb79/yO4oomGqvHVrgbdudFlt25cqQr2ak3Ol8bmaz81oquDNmwsURcX3tvpkRcmHhxOatsZLq7888Pks7c/93oR7K23Wu9YJGjovSlY7NqsdmTXzH37y/2/vTWMkO8sz7Ovsp/bqfZndM+N9wzaYISTYkDh2iGMlyAJFISYCI6RYiQn8gEBkx2AUtiQSCjFRkE2iKMr34wsCAUkInwOBGGwc2/Eyxh7PjHuWXqu79jr7+X68dcrV3dU9Mz1LT3e/l2R5+nRV93vqdPe563mf575P8nqpwYmygxdCrelTbfrsHRU3g8GcxUDGYiBjMpC1eHmqykLD5ZWpGifLLQazKQamxB9PTVOXuU2v9Ec8OZ6svxP4GL8xKVRqOEwsNEgbWicOIcmjOp1x5eTz3WPy3c9JgjK7hdFGED29qkPJv4tpg2K6uCgWo3trrNz0UVWFrBl1XJ31rIWC8H9aqHvkUoYQ+CmDRrvJeLYqmoLTtoZlG2RtG1js7aNpYkJtMGN1nIn3DecWGfYtpZfQOZMqX3ezu6YqmIbWnqrTME0dPwhpeWLsX1NpO3QL08a0JfqrwjDi4GStI3bCdgK9qoLrR2RMnYGsTn/OwjY1ka6+QmVwRcHTlXxeTBkcL7doeCFpS6OQsrlsJHfepqESQ8LnTixQqvsYGmiqSjGtr7il9vpsjaOlJr+YrDLfrnTvHMhw486zd3qXnBpZ8VmCrPisL88eneeZY/PM1V0GczZv2tG3bj0/3XTv2U+WW2KSSYO0aXR8P5IR3mR8eDBr8cKxMk8eLfHaXJ1y+934toEU/RmLbYU0l4/l2T/yxh+6F46X+dnhOWZqLm4QEsUiPkGJIWdbDObMdujj4siN0x3r7R5dTwIqHV9EQmiqiPPoy5jAG70556L5cy3BmuvB0opOrxT3lSo91Zbf2fYLo4ia44vellgEgLbaE2GjeRs/ijBUMRVnmxpzNRdTVxjM2Yzl7UUxHMn3WhrBcL5e06XiwgtC8mmdvoxJEMQ03ICcLX5GGl7Q2cpMfHmSZvpnXy/xwskq83UP29Bwg4hay8OPI1KG8BrKWiLLD+JVm5eDMGK63OrEwiyt8Czdgu6+jqttlZ0tJ0oNXjhZ4ZmJshgmMIU79lVjKxsgPnt0nkOzNWYqDs1ATDkO5Gxu3j1wWiGokpWRW11rRAqf9SUII/7nlVmePVFuRwFY/NIlg1w+nl9Xv5+EqXKLY+UG8zWfk5UWSSr7pSM5UFVcP+r4lSR/kF0/4PVSk58fnmem6dBoiUmfrK0xkrN5y+4B9o6+8c49yf0q1T2mqg6zVYeqI/b/IyBriFHcgYyxLG4geQ1Xe62Wjq6Xm37nczlbVHq6fVcS47vTFVkblSCMOFpqMFFqEkRRzxR3eKMKU254yxyY625Af8bE0ISZ42zdJQhFCGuMwmDWZKTtPB2GwszQDaJOg/HS4NVugXM+hM7SHp/u/hQvCDsBtwMZmz1DGRwvpNzyF22bdvfhJBWwZyfm+emhEieqLVQUETdiaDhBRNpU2TeSFz9bpgYxosrTI3cuqaK9cKLM66Umpq6QaY/Bn8qxebUk+HPxuh08WeH542XxJiUUPXV7B7PctGeA/SO5nt/36cMlnjxa4nipjh8r7B5MceW2vgse5bNZkcJnjUjhs/7M1Vx+dmSWgyfrmJrIscnZBuP9Ga7Z1tvldCXOxx+/5GsePFnppLKL6IaIrKlj6bq4cbYzhNKGeFfb9H1m2qPapYZHqeZiaAojxXTPCIzktTi+0FwUsVFu+TQ9n4yhU8wYbT8Ulayl03BDWn7ISMHmyrH8Kas1vbZHup123SBclGu2VGSd69d2vTmbik/y76GcyOaqtgIWGi4oUHd8NFVlJJ/qPD+pjJxpg/FaWHqdE5FzrNyg3grJWjq2oXJopi6atcMIP4iIYmFVMFZMkTI19LYh5NJG+WTSbqbu8epMlYlSC88PcIIIXYdthTRDuRRZW6PlBQznFgeJdv9OJ9EyBycrnCgLd2rHD/GjEFvXuHqscFbu52fLXM3ltZkaL01WhVu2H7CtmGb/aJ59w9kVe3MS0XNsvs5CM2C0YHPVeGHVYFLJmSGFzxqRwufiIAgjXjhW5qXJClMVh4Yfoilw6WiOt+8bPq3poAtR7k4amZM/gooCGUsjiiCI6ASipkwVQ9cYTFvk0jq1ls+rUzVKTW/FDLBkvd0VGpGhJEIoa65PuZ1enjJE5pUXhAQRZFMaozlxkx0ppM94yyrZ2putuR3R1b29kPQFdTdI9+qJOd3vdzGxWo9P979X+/xcze0Eh3ZvUS19/vlaf/d6ku3NuXri+iyyww7N1Jmpit+tlC4ap8MI4jgmnzLabtNi9H5p4nm3C/RLJyv83/Ey83WPjK3TdENqLRdFVdnWlyIIIWfrDGZNdgykRRN8j+26IIx4ZarKoZkaC82AphvQDIQZZcbS6UuZ7B/JrVhNuRB0VwWPLTSwdY0r29vVKwme7uGNhYZLjEIxpTNSSK0aTCo5c6TwWSNS+FxcnCg1ODhV5cWTVWqOz0je5podBa7f3rfq1EP3H6hySzSSXnYOXJJX+l5J9aflh5i6ht5OkhZ9HcKELW1qnSrQSNYmnxYZRa9M15hvLBZAe4ezvGX38mTopf0XTS9gvuHS9ITVfxjGeIEQKIamYWoaAzlxo0npamdKrJgS79S7HZa7SW7cejtBvdz0eb3UYLrqdvqCFCXGNrROJaiQNnpWQHpt32wFzucW1UrfL2kkb7oBDT8gDMTr/dpMjddm6yiKwnDeImpXpOI4bjcti+DZlKkxUkixfyhLEMWAQl9WZzBtdX5WEg+lmhMyV3N4baZB1fFIGSpDORtNBccTP4uFjEm55ZOxdH553yCXjuaX/TyDEGevzdR44YT4HTI00fukKQrjfWmuHMtTTBkXxaRT9xuqoby5qsdO9xujxK7j0pEce0dy6Joi/XnOMXKqS7Ip2DaQYaSYYv9wludOlCk3A47MNiFS2DeSWzHkVBjCmZRtj+mqw/FWk5mqw56B7Bn7eJzqhq1rKtfs6KM/bTJTf6NCoigiNdvUVFp+iBPERJ7oa2j4AZonplF29GcYzlnM1FzmGx6Vls/hmTq1lsdlI4VloZCJWeH2viRlWgRYJoIkCMV2V90JcAKPYwseJxaaxBEU0iaZ1zViYoopix2DKUbyNrauLdo6qLs+kxWH+brT2ZYYyJmkTa3TkwJQcwI8P2Ku4VJtVziAzlZQ3Q2Yb7rM191Ow+5m7xVKWDrldi5YyY8ocdmeqbjoqtLu3RKxEP0ZMUUWRTG2KcJTTU0hm9IZyllcMpARjcftGIlt/TaDGfF79epUjScOlai3AoYKFmEYc2JeOG6bqoIfx0BMEIQopoauqPSlLSZadeabHsdrLcZyKQYyJqaxXMB3pg2Bhhei6wo2KrsHMly9vdipLF1MPyvJtCKsvoXcvRWuqixybd4ozf6bFSl8JBc9uqYuiro4Pt/k8FydkIhienDFPyCDOYuspRGEMa/O1JiuOJSbLpPVZk8zsV4k7+7CiFNm+SQiLXleYvTW9EJ0TSOKRU+IF0AQxkShQtMLqTpCRIwVUm0B5DBf93ltpkHTiyg7LgNZCyVWF61hqXP00kZlL4hoeiFzddEgXQ88ai5UXYUgCJmsuBwpNUibKo4XUUiLYM3LR/PomoLnh7hBzELLo+EHnf4OTVEYyIpk8xPlFkdnW4RhTF/OoNwUkQp9OYP5hsvx+Rb1vEXDCTB0lbobMLHQYDy/uEdE3gQEKxkxdvfk6IrWcasuN3z60halusPEfLMtXnRURcEPQ/xIwTAsLhvPM9r0GMjYiypzpgFxDOWGh6pDzfH4+ZEmLT9CU8Xxk1WHIBD9ZYqqUnc9vCAmbWqkTZ1CymA4K5q0Sw2XY+U6FScgpWuMZm129qXZXhRbXCB+VrvT2pNG6VxK49p0H0N5s+M5dLGyWjP1XM3l9VKjs/2tq3DFaIHtg+lOhediPretgBQ+kg1DIlQcL+RoqYE7FZG3jFXdTW1TZ99IDtQYdUphtu50LORdP2TXYHbVd23llsfRUpOZaouTFZsbdvZ3hEev5yXHloqSZGtKtVWiOKLpBW1H6BglVoiJafpi3Hk4l0JB6SSkH4lhquzihhETCxb7h7LkUsaivpFeWVjJ904EGAAK1NyA6XITN4ghjijVXaqOz3RNZWK+yfPHKlyzo8Bg2sIyVbT2Vl2p7tL0IvwwIlag6moEUUzK0sjZ7Z6flAEK6KoqMppsMeUTRDHlmsNCw6eYNkgZGuFsFU1VUGK1Z1zCVntXnIjsZMIrMUPUFa3TkzNXd9E0lTAMKTcCwhiG8yZBIJLNc2mjK3Mr0/k6qqrQlzFpugG/mKoKg0RfVOBafkgQiC1a29SoND28ECxdIWfr9KUMTN1iKGdRdwL8IMRsVzAMXaXe8mn4fjseRcHWTYp9FnEUk7F1NF2h5vocPFntmhoMCGIxAJC3DPYMbGwRPFdzOVKqUWkEnX44VYV8l93FRjyvzYrs8VmC7PG5+Dk6V+Nnh+eptnwxSj6cX9EzIyFp1n3qaIkjc03mqy10Q+fy0Sy3XD664tbLVKXFk4dLi5xYl453w6n/WK9kvKYAKUNDUaDpRp1psHLTY7pdwSmkTVKmhu+LMMpixmCsaBOGMaauMZJPLeqjWbqWXpNbQShyp2ZrLodnG8LQsO6KHiVDI2OqwvFX0xku2OzsT2MoCkEcU3OCzg01Menr/ri7x6fc9EkZGrqmMt90qTZ93DAUhnjtr2eoCv1ZoxOQmXwtQ1fbfkWbf1ss6Uk70r4WfRkDx29XCENhApj05ORTBqoqbraqKrYvt/elaLkhY4U0e0eyFFMGQRhRafq8NFXlZKWJ40VUWz6zdRdLExlg+ZRBEMX0Z00ypsZQ1qbuBrR80ZC/rS/FUGKzMN/qTPppmsJUuUndDVEUsX1r6cJhuun56GiYlkpa18XU4yl8ojby9Q3CiGcnyhycrOD4IX0Zo9P3ttTgVHJ+kc3Na0QKn43B88cWeOlkpZ2JpDJWPHU1BkSz4Y8Pl3j6aKltGqdy1XieG3b0ryieur1Nlo53n6kIWk0A+YGoppRbPrWmT6np4vgBlmEwkNHRFA1NE1UVLwypNHxiBYZzJruHcozl7Y6B3OneTLozrebqLi9PVTlZdpivuVRd0TdkGyLc0dZV9o1kuXqswEDWWtZoutKUE7wxWRRG4ntVXZ9aK6DcchEOjUAMszVH5BUZGoWUjqGq7BnIsXcku2yEvtdk1UZgpfUmFZ9S3SNr6dRdn9maR6UpPJzCGPoyJpeP5Dp9VlEcY+oq5ZZHyw+xdZWBjEXZCWi2fCqtgHLLxw9DdAViRSGMYwppg6JtMJRL0ZcxGM7bZC2901PjeOJ5UxUHcXHe8HYC0BWFmbpDGIKpiZ6uMBauzZauidHzduP72TiDbwSCMOL542WOlpo4fsC+odyq/kKS84cUPmtECp+Nw+uztWW5OIlnzmr9OFOVFj/8xTQ/fa1EywsARIjmtjzv2DfMSHuSqtc0VXffztmIoF5p0n4YoRBzYqFFpeVRdQIcN8C2dAYyFpamEBBTsA3qbkTdFSnhlqGxcyDNWMEma4tG1rFCek1/fBPTuMNzdZ47VqbSFAGn5ZZP3fNRFYV0O5wz6QdKvseZukeDgq5CqenRdAImKy3m6z5+FGNoCp4fUGp4pEyNHQNpdg9msDSdnG2QsTRSpkbLC2m0wzHPlcv0uaBb3CSmft0TUUTKsvUmnz9WblJueEzWWkwtOFRdD0sV4mEwb5G2dVRE3EMMpAyd+YZLFEEcRyISoxXgxxGhH6HrImpiezFFMWVSTFuMFi1G86lF0Rvlpo8ThHiBqAwt7cEBqDQDao6HpqjtRvqIkbxN1fWZKrtkbH3FqmjCel+b88FczaXc8rZMhfJiRQqfNSKFz8ZiaTVmvuESxRHb+tLcsLOfwR6VCRA3pucmFnjy8ByH5xq0AiFgBtLWsps60LmxL3U9Pl0RdCoB1P21FprC5LDqBmhKTIxCoxVgGzqGrqAoUGl6hHGM2u6RGCumGcxYzNYdWl5EMWNQTJuM51OLAlXPpDritEVhuenz3PEFXjpRaUdpiK9hGxoZc7kISlgtH2pp0273CHa54aOgcGyhweHZGk03xtZVilkT4pi0pWIaOiM5m9mKgxfFWIbKQNbC0kSeWa+eobNlaTVrJV+fctNnstIiCGO8MKTc9Cg1PVqtgPmmTxiD0h4jN3SNfErHMjRURaHh+tQdYVHg+BGeHxIhzt8yRDOxE4SYuk4QiqDZRPT7fth29BYVH9cNsE2d7X3pjtBJzqM7sb47TDaJ23DDJG1dWC8MFkyUCL73wklOLDgU2qaGgR9imeI5jh+eduV1M7LVetIuRqTwWSNS+Gw8uqsnv5is0fQDLENDUaFgGVwylOXysXzPP0onSg1emKzwwrEKc43lN3Xb0MnbOnuGM+wfyrKtP7PIcA1OLYKWWuuv1ofTbVK40BTj7eWWh64oRGpMqxW2oxNiDE3DDUJUVWEkn2L3YJq5usds3SHwYwxdJZcy6M+aXD6cp5A2cPyQtYyUJz1SL09VOTRdp1R3qbtBz9dLUyFj6vTnTPK2QTG1OAU+qTAk2KZOveUtG/+eq7k8f6LMyUoTL4jRVYVaM+gEZdq6MGycb4gpI9sQVYhC2mDPUGZRz9D2/lTPrbLu77fSeXdPVBGJ/qXpqsuh6SooCpahYWgqfhSixQqgEBFRdwLKrQBbU1loCTdk14+I4whFVYiimDCCtCmcnDOWgR+GhCH4UUAMtLyIIITBjEk6pRGHUHF8TFXF1FT2jOTYNZBmvJhC15SOuOlee7fQSXx+EtfpZDcy2cbqz5gMpE2anmh2Ron539dLvDxZo+n5eGGM40cUUzrjfRlyloGhid6dsbbIPl+5WBLJqZDCZ41I4bNxSf6wH52vM7ngMlNzKLdcFBSu21bkqh2FnmOyK93Um54I79RVFRTIWQbXbi9w057+Zbk6K4mgpWGK3e63K23LdAu5bgHkBZFoco5CGk6IFwT4IYRxxJ6+LJqh0HACpmotMqaOH8VosUqsxORTOn0Zm2LKwNDF99tRTHdCIU/33WpS6Uj6gZa+Xn4oJtMMTUXTVGxDJaVrGKpwrt5WTIlR97rHdMVhNP/Gx/VWwJ7hDJeP5tnen8Hxgs7rWndD6p6P50ditL490t30Qk6WW0DMbM2l3AxQFDoj3bM1RwiCgs1IwUaJ1U7ztOOHi2wKljaBJyKh5YW8Oi0MAKMwJmvr+GHMVLWFH8YYGqRMHdcPyaQMsqao3oBCGIWYmoauKLhRiIJKf7u5t9Rwcf0I29A6oq3lR8RhjG1qZG0DQ1NxA9Ewa+kaTVeEgsZRzHh/ml0DGS4dyXd+jlY6h2T7amlVR1OFkAvDGEvX0TTE9J4boipwdLrOTw7PMtPwiKKIlKaST1nsH8+ybziPH0Qdzx25xSNZb6TwWSNS+Gx8EuHw3LEFnjtWAUDXIGvpovoznl9RAHXf1I/MNKg6AQ1XTMIEkXg3vmsgw9v2D3LgksEVt9GAZU3MWVvH1NWOH46pr94TtLQPqOH5zFZblFs+tq6T3FgXGh5pS8fSNWIlolTzaPghGVMjY+o0vJAgiBnOm/TnLKJIjJsbusKugUzPpujTEUK9Xq+GJ6oIXhDihRGOH4gprlC4AA8XbNK6RtOPmKk6DBcs0rqGE8SUGi6mJszrdgykKDf9jhi6ery4KBcKIJsyqbc8SnWXWFGotXwafrDIxG++7hPEMYWUQUxMpeGh6wqFtIWpKXhBxFjRZt9QbpExYxjFuEHUEQlTVYfXpmvESsx4e4y71vLRVa29TQV+GJLSdQZyFqN5m+mqy1zNQVWF2OkOPAU6vUrJ9FvNCQgi0eA+mDPpy5hoqkK9JRK8627AbNWl4QVkTJ29ozmuHM13bAyS3qmVziHZviqmDAqWgROF1J1QjK9HYlut0vRZaPr0Z0xcP2Su4fDqZJW6G2KbYsJvx0CaHcU0V48Jb5qL3XNHsnXYdMLn4Ycf5jvf+Q7PPvsspmlSLpeXPUZRlGXH/vZv/5aPfOQjp/19pPDZPARhxMETFQ7N1piYb6GpCl4QdgRQ8i4VelddOgKm7vLEoTmeO15mru5gGhoacN2OPm7c3c8VYyt7dHT38ICCbajMVB1mau5pN0YnFanXZurCTbkdUeEEISlNQ1MVIkVBBRpuSKXlUHNDirZO1jRwo4jpqoOmKewdzDJUsHG8kKmKy3jRZjhnUUib1B2/Y3CXMjWRqbSCM3av8+yuNszVXaYqDuWmT6XlM18XN+zuCk93xWeu5nJ0toEbRJ2KSMsXhniFlMnO/hQ526BUc2h44aKvo8RKx4HaaP8NcNrxHQtNj3LDQ1EVpisO8w0PJ4gYaguRMBZ+NBlLw/VDSg2XOIrFKL8h4huGshYNP6BUExNNAxmL3UMZsqYGQLnlc2KhhaaqncqNEKXi+8/WHKJ4cSVGUxUGshamruEFEQsNb9nPQjL9NFVt8cpkjVLDo+EGKErcGQtPhFHij7PQ9JiqtDrj47YhYkuGMhaRGlNpiP6jiVKTmiPOx49iUoaG3RZwQQTbi2lMU2Gm4uKHIVnLoJg2UBSFoVyKS4Yy65qZJZH0YtMJnwceeIBiscjx48f5+te/vqLwefTRR7n99ts7xwqFAqnU6e85S+Gz+XC8gMOzdX4xVe0IoKQvQUxhvCE4kkpHLyF0Yr7BE4dLPDNRxgtCUqbo/7lme4HrdvSt6gS9tJl3LY3R3c9LqgM116fq+LheQMY0yad0vCji5IKYDBrI2cRRxHwroN7yyKctBjI6ecsiRJxrFEVoqnCWVhUFXVfZO5hl50CG3QOZNd/cuoVQ97979fg4XtCpHLl+jK6LitnEXBNDEwaKzXYFouWEjBRF5cgLQVNi8hkDVVEoVUWv0GjBZjBvMldzmSqLcM6MpRFEIVOVFn4Qo2qQtUyKGQPfj5lcaOIEb6yzL2OyezBLIWMyXW7ScMXnRgs2+0aymJq6aEsza+toqhA8mqp0JqHqrbDn69PLC6nXpNcr0zUmSg1mai5pXcU0NIopIQ4XWh5zNZfRvEWubR5ZbrQrPmHESyfKPHe8TMsLKWYtsqaGGwoDTfEz13ZezlnsHsiQskSMxeWjeWxD59BMFU1RO/lu3T1DEsnFxqbL6vrzP/9zAB577LFVH1csFhkdHb0AK5JsFGxT58ptRS4ZynJ4ts6hmRpVJyQIRV9IpeUxsdAgCCK8MGakYHPlWH6R6EhiM7b1Z7hsNMfzJyocnmvg+CE/O1LixILDmy/p54rRfM+bQrd46BU10RFBfkjDCTpr6m6MXskNOm3o+GGEG4im7oJmEEUxUQT9bfPDVN3jkONTd1ziKKLlRWiaSkyMioqlh+iaiq1rlBseT1ZLzNddbF1dcTLuVKw21bX069mmzvZ+vdNr0y2GpioONSeg7PgUK/qyik8UgaGrnJhvcrIi+n2cMGCmKrbUJsvCqXusL4WlaViGwXyjhapAyoSWG4msKi8kbPcoqYpC0wuYrraYrjrMt1xqzQBVAS8KRdZZ2qTa8juCtS9lLoqD6ParWe01WhpTAW3X8IbDk0dK/L9PH+cXkxWcICSt6/TnLPrSJigi30oB0oaKbRo4XkDd9Wm4Ic3Ao9Lw8QJQVCGSRotCwAxkLdKaRrEteK7ZUeTKscIy4V9MD5zyWkokG40NU/FJeOyxx7j//vtXrPhs27YNx3HYs2cPH/zgB/nwhz+Mqp7+L6qs+Gx+Es+SbsHR9AJRCYhiMpbGWCG16pSK4wUcnKzw88PzHCu3UDQghr1DWd60s48retxEVuJ0G6MTAdRN93PcICJr6UDMVNXhRLkFQMHWqbZ8FpqusNT3xbi4ZYqmbdcNyKUthnMWAymL6YZHteUJDxfbYPdQljfvHmD/SG5Z4vjSqs5q01LdnzsTIXU6laO6G/LssflOn9HSLTXgtI8lZCydoZxNrMBcpUXDCzvP2TOcwdTUZZWaszVUDMKIV6cr/PfLs/zw1UkOzzRpuhFOCMSgqpCxIGsaWKaGogiPHk2BMIypOwGt9jaoIvwE0TXImSbbBzLsGcxyzc4Cb97Zz0CXsJcVHMlmYNNVfE6Hz3zmM7zrXe8ilUrxgx/8gI997GPMzc3x6U9/esXnuK6L67qdj6vV6oVYqmQdsU2dUVNfVnWxDY26K26k1ZbPTNVZMdDUNnXetGuAoZzN/x0v89yxClXH4+XJGicWHJ48XCJtGQzlTC4fzTNaWLkB9FT5XkEYcazc5GS11XHB7dxsu5KiSzUXP47xgoiMpWO2x939MMIPXWpuQNXxME0VImi5IU4YYqgqfhAJs8IYqo7LbM2h0gwxDJXJipiQG309haaqtByftCX8ZBqeT9MNabiiATeIY3w/aT42yLT7YHK2iaGBE4QUUhZXjOa4bDQvxB1gG/oyUdQr3XylypFt6txy2Qhv37fyltqZHFv6/ZZOS3X74JxqjadCeP84lBo+/89Pj/Lj1+aYKjtEQBSDrkJWpz39pTGQERUfy9DEOL2pYSvgtXuKmq5P3RHCebiY4i07+3nnlaOMtwN0bVOXVRvJlmZdKz4PPvhgZwtrJZ566iluuummzserVXyW8uUvf5mHHnqISqVyxmuQFZ+txdLohv99fYHDs3UALhnOdEzZVkplfulkhWePLXB4tiFch8MIJY7xYxhMW1w6luO6rmbq03mH3cvd2fFDFCVeMQ4gSbZOXIBn6i6luseJcouJ+QZzdYdGKxDN0V6AE8ZkLJ28oaIbGlEMqqrgBwF1x8fxIgxTJ5cSQiqKRLCloao0fJ+FukfDDYli0RBMLNyEgzhGRUFFQddUUrZGHEYoqsgAM1UFU1eIYkjpwu0XhEDaOZTm2u1F+lMmA1mzc366pm6IykS95QlvonbzsK6qBFHUOY8gEplstq4z13D55v8e538OzTE5X6PuxQSRSPEw2lla127v4zevH+e6HQV0Ve381013pSkRk8n3zNqmFDqSLcGGaG6em5tjbm5u1cfs3r0b27Y7H5+J8PnJT37C29/+dqamphgZGen5mF4Vnx07dkjhs8U5Pt/gqaMl5mpexxl3qRHhUhwv4JXpGsfmm8zWXBYarpjE8XyCGHKmxkAmxbZiiqu259k//IYX0Go39O7JsHLTJ4ziTlO044eLJni6xVDONhgtWgxmrEXuy1NVh4WGx2ytRaXlAiKLy9AUgkgYI9q68OJBoe1JoxIGIX4UY5kKjiuqOw3Hp+4FRFGErumYqkIUx7hBSBzHYntGB1MTlR9RfYrRFAU3iFEUsHUVRVXQVeFv1J+1yJkadT8gDiFj6xRTJruHsxzYM8De4SwAWds840bbIIyEP1APIbJUTCSfW+k4gK3rncc4QcBzxypMzDc5PFtjpuJSczwMTUVVREN9BFSbAUEYkk2Z+FHA1IJDpeXji51NbFNhLJ/irXuHeOeVI1w1ViDbbmaWSCQrsyG2ugYHBxkcHDxvX/+ZZ57Btm2KxeKKj7EsC8s6vZFdydZhe38GXVU7cRjd200rCSDb1Ll2Rx+Xtsd8pyot/u94mZ8enmO26jLd8qm2AmaqTV6arJCzdQxNZTS/WAj1Cv/s3gYDFgkh4A0x5IdUmz51V1QbcimDy4YL7BhI845Lh7l8JMfBmSqvTdc5OqcxVdaotkTFRkcBJYYopOWLr6mgoGkKYRSJFPC8haUqwrE5VnC8gKbnE8VgGjppSyOOoOWHOK5P3Q2Io5iQGCeIUL0QUxUxHArCdTprGpiG0vb9ifC8gKPVFjUvxPFCdBUMTePJIyW+/fQEGdtgKGezeyDD5eNFdvan2Duc7YiRzuvWJWx0VUxgPXlknqeOzLHQ9DHEjh/VZkDL81FVFUsXaakxYvsvjKKex50wwFQ0MimdlKHR8EMcNyCMYlK6SqklrkEYQvIjEoWiRyeIEV+z5pK2dFRNER5PmsrekRy3Xj7K7VePYhv6hqhwSSQbjQ3zWzUxMcH8/DwTExOEYcizzz4LwL59+8hms3z7299mamqKAwcOkEqlePzxx/nUpz7Fhz/8YSlsJGsiERsr9dskAqiYMhbdoJJ/b+8XjdHb+9I8f6LMbNXFD2Jqno/jB8yXRKVxsvyGENrRl1lRBK00GZbQ3eg8XVGouz4tN+L1+fqi/iAdjaFsiqxlctlISMsPcLyIiJiFpkvTDXB8EZjq+BGaLhSCqWrkTB09hrojgkHHizZBZNNwfLxIRDIA6KqCbWkYukIQxgQxmH4EKcgYXVtXukYxbVB1A2YqLTRNJWPr6IaCO9/Cb1ec/DCk6YWUY4iqHhOlBs+fLPPfr8yiqSqqEuOEwqgRQNfB1g2IY0Ii1Fgh0hTqDZeGL4woVYWOb01S9tbaVmAxor9G2C4uP+6HYivKqAnB53khsapiawpRyiBvGyioqEQYhooKhCHohkbcFmKFjEnBNhjtS3PjriI37uoT/VuZNyrcEonk3LNhpro+8IEP8I1vfGPZ8ccff5xbbrmFf/u3f+OTn/wkhw4dIooiLrnkEj70oQ/xh3/4h+j66es7OdUl6cXSfptk4qrhBafMAwMWNc++Ml3jxZMVpivOIiHk+jG2rmAZ+jIRdLrv/LsnxI6VG2KKa8m2WBjF1JwAVQVL0xjN21hGO327JRK6/TAUvSlhSNMPqLciFEVkcDlhxGytRRwrWLrIqmp5AV4YUXdC4rZZn9jeUVEVsE0V29BRFZW0oWNoUHMD/ChCUVQans981UXXVHKWQTFlcKhUZaHqgaIQBAFzTRfHpz2+LsSIHwph4oUQhJC8yjpimklRIAzE/zVNHNMUsC2dtKFhGTpxFAExmqqdVcXH8yNGizZXbyuyoz9NreWzoy9N3japOD4N16dgm4wWbQppve2+LZBbWRLJ2bMhenwuRqTwkazG0hytpXlg1+3q6xi9JazUD5SQCKHjpVZPEXTJUIbrd/YJU7k1jIEv3RYDRPhp00NTQVPVjrOwMHcUuVqWpmLpGjnbwAtDFhoufrsMMlNroaCStvROQKfrhp2R74SMpdOfsSikRFr8aNGCGGZroukaRQiguUqLqhOiawoDWZOmE3C4VGO+6eO4Aaqq4PiByMqyDDRNJYxCTlYcHC+g5YUQiWbyGLB0sNoVHy8IxTHboD9lcPlYgcvH8wxlrEVC5Fz0+CQVG8cLFk2lrTQBJpFIzh1S+KwRKXwkp0OvPLBCWsc2NTRFIWMbFG2jM3aeiKFTVYSWiqBay6fu+KiawlVjBW69YoRrtvetab1LmS63mKm7iwTR0sZpRYkZyFqkTB0FOhljCgrFtMm2fpuibSwb7+6mlwhc+tjueJAgiml5IScWmkxVXfwowvXaFasoZqTtoxOEEa/N1Km2PExdNHPbpggELaQM8rZJww+Yr7toqkIci7iJXcOZRSnmUohIJJsDKXzWiBQ+kjMhyQM7Uqqz0AxougF1L0BTYDBrkrZ0WkGEEsN4X7rjCJ2wWjXo4GSF/++laV44WaHaEuJn/3CWu67fzs17h87Z+peytEJUTJuLMsaWjtSP51PsGcp2/ITOVkh0GyH2MkqEN3x0kuqbpqqL4h6SdfQ6Pyl0JJLNiRQ+a0QKH8laSNygD05WmKq62KZoBK45whG6GYSkDJWxQoqspS82IVwhKBXEWP0PX5nmx7+YpVT30FWFnUMZfvWKEd6+f/i8Tf0sFQzdGWPdI/VBFFFIG51cKl3RlrkYn2+hcTZOyRKJZPMghc8akcJHcjZ0VylAVE8OTlY4URZxCJau9jQh7BVK2v01nzk2zw9enOK1mTqKopCxNK7eVuTG3f1cva14wW76ixLY25Wh5FDV8Sm3vE7ERiFtYOrCm+dUVS6JRCI5W6TwWSNS+EjONYkYSvLBlpoQdiezr2aSmFR//u9YlZojRuPTts5bdg/wjsuHGcysLUz0bM8NoNz0OTpX70y8ZW0dU1fRVaXTF9SrytVNr62p0z2WHJdIJFsXKXzWiBQ+kvNJr4rJqUJJu2/oSfXnRwdneGmyihuEmLrCSMHmqvE+rttRZP9w7rTCUc/HuSXnBMqqfUHdURsg+ogylkbDDRb1Fp3OseR4L0ElJ6okkq2DFD5rRAofyYWke+R8qUfQagIoqf48dXiBmuNhahr5lI5l6IwULC4bzZ8yHPV8n9NKfUHdnkIgznMga2HqGl4gxFMyTXaqYyvFdcBykVRMm+zoT3easJM1nqqiJMWSRLIxkMJnjUjhI1kvVjJJTATQWJ/NaP4NIROEEc8fX+DFyQqT8y41z8cNQsIITE1lKGtxxbY8V48XOsJpPW7ivapc3dUaOLuKz0rZZd0iaaHhMZgz6csIo8B6Kzytr99LLHUjRZFEcvEghc8akcJHst70EkA118cPInYPZLi6nfKe3HS7PYCeP1Hm6GyDlh8SEqMqCmldYyBrcelYnkuHs4smrmBxheNC9Ait5vez1h6fXoJqqYjJ2UK8LDQ9ZmsOfRlj1YpSL7HUzelur3Ufl0gk5w8pfNaIFD6Si4VEAL1eavDCiQotP8TQFIbzNtuL6WUVIBAiaK7u8uLJCi+dqDBTc3GDiLSpkk8bGJpKSjdIWxpu22XZslRcNyRnm1w2nuOK0fy6VYfOhpXERvfxctPn2HyjU805VcWnWyxNVVqLtudOZ3stIakcLc1Xk0gk544Nkc4ukUhWpjuVPWfrHJqpUXVC4hhemqrw3PGFZRUg29TZ3q8zWkhx1XiBl6eqHJlp4IcRXhCJdHjfhTgmIhZbaSjEikLLrfDTI7NsL6a5fpeIyBjMXvhJsbWyklDrPj6Ys864x6fc9NHmRfBqQmd7zQ+pNv3O9poTBD17kPwoJJcSgawbTVBKJJsNWfFZgqz4SC5WEpPEXhWgsXyK3UMiDb6bZJQe4PBcneeOlak7AZaxuOJTbXocmqmLzCugLy3E1u7BLNfuKHTS4pdukW2Vm/jpOFyDrPhIJOuJ3OpaI1L4SC52gjDilalqpwIURhGOHzJWtLlhZ/+qk1xJP1CvHp+njpT434kFpqsOcQx+GKOrYOoaOVunmDI722IoCnsGs1w+nmMw84bz9FYRQgmns73WfVwikZw/pPBZI1L4SDYKST/P/74uxIplaBTSxqIR+G5O58Zbb3mUWz4vT1V5ZbLGVM3B8QNaXkTKFIaEUQxeEGEbKmnTIGVo5FPGIiEUhBHZlHm+Tl0ikUiWIYXPGpHCR7LRmCq3ODpfZ6biLRqBX9p02yvEcyWSLbIkLX664pAxdSxLpdUKmG34ND2fphsRRBGGBilTI20axHFMMWNx/Y4ib97dL0WQRCK5IEjhs0ak8JFsRJaOwC/1tFk6gXQmPSfJ9hi8sY1Tqrm8NFXl6GydmhPQ9COank/dCam7ProGaVOnYOsM5dJcu7PADTv6pACSSCTnDSl81ogUPpKNTHdsxEoGf4oSM5y3uWQoy+6B7Jp7T7obp7uF0MmKw0LTJQgjWn6EpigoqsL+oRw37ennrZcMbMl+IIlEcn6RwmeNSOEj2QycyuDvfEwZdQuhlycrHJyq8cpUjbm6i+MFBJGoPu0bznHT7kH2jWYYzaUWPX+pGNooo/QSiWT9kcJnjUjhI9ms9PKrOZ8kW2QHJyv85JVZnj2+QBSBYaikDQ1DVcilTHK2QdMNcIMIU1fJWELsjOZTXLU9v+Io/YV0m5ZIJBc/0sBQIpEs4kJvLSWC5E27BrhirMBPX5vl/46XmSy71D2fcstnuuZiaQpOEBHFoCgKaUPF0DUmy01emqyIUfq0ucx7KHGbvnZngUsGs8uEUfd5X2jRJ5FILl6k8JFIJOcd29S55Yoxbto9QKXp89MjJQ7NVPEjyJr6soqPH8TUPB/HDyjPi2wtTVWWuU3bmsvJaouBjImi0vEYGsrZFFLGirEU3RNuUgRJJFsLKXwkEskFI5syyaZM7iqmcLxgkehY2uOzaJTe0pdVfJqO8BcKw5ipikPN8QiiGAWVctNjOG/hBPayINJSw2FioUHa0BjM2tJRWSLZYkjhI5FILji6pp5ytP3aHX1cOpJb9JylPT5zdZdXp2tMVV38yF614mPr2qKMrYYTEBPLDC2JZIshhY9EIrloWdq4vLR3JwlkTapFp9Pj0z3hVkybFFOWFD0SyRZCCh+JRLKh6fYEOp2E9iTxvtfnJBLJ5kcKH4lEsuWQYkci2brI336JRCKRSCRbBil8JBKJRCKRbBmk8JFIJBKJRLJlkMJHIpFIJBLJlkEKH4lEIpFIJFsGKXwkEolEIpFsGaTwkUgkEolEsmWQwkcikUgkEsmWQQofiUQikUgkWwYpfCQSiUQikWwZpPCRSCQSiUSyZZDCRyKRSCQSyZZBhpQuIY5jAKrV6jqvRCKRSCQSyemS3LeT+/hKSOGzhFqtBsCOHTvWeSUSiUQikUjOlFqtRqFQWPHzSnwqabTFiKKIkydPksvlUBTltJ9XrVbZsWMHx44dI5/Pn8cVXjzIc5bnvBnZaucL8pzlOW8O4jimVqsxPj6Oqq7cySMrPktQVZXt27ev+fn5fH5T/kCthjznrcFWO+etdr4gz3mrsJnPebVKT4JsbpZIJBKJRLJlkMJHIpFIJBLJlkEKn3OEZVk88MADWJa13ku5YMhz3hpstXPeaucL8py3ClvxnHshm5slEolEIpFsGWTFRyKRSCQSyZZBCh+JRCKRSCRbBil8JBKJRCKRbBmk8JFIJBKJRLJlkMLnLDl69Cgf/OAH2bNnD6lUir179/LAAw/ged6ix01MTHDnnXeSyWQYHBzkj/7oj5Y9ZiPx8MMP87a3vY10Ok2xWOz5GEVRlv33yCOPXNiFniNO53w32zXuxe7du5dd00984hPrvaxzyle/+lX27NmDbdvceOON/Pd///d6L+m88eCDDy67nqOjo+u9rHPKj370I+68807Gx8dRFIVvfvObiz4fxzE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      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# create store\n",
    "output_dirstore_name = \"zarr_advanced_01.zarr/\"\n",
    "!rm -rf {output_dirstore_name}\n",
    "output_dirstore = zarr.storage.DirectoryStore(output_dirstore_name)\n",
    "\n",
    "# copy\n",
    "zarr.convenience.copy_store(output_memorystore, output_dirstore)\n",
    "output_dirstore.close()\n",
    "\n",
    "# have a quick look\n",
    "ds_out = xr.open_zarr(output_dirstore_name)\n",
    "display(ds_out)\n",
    "ds_out.to_dataframe().plot.scatter(x=\"lon\", y=\"lat\", s=2, alpha=0.1);"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "1c5d4da6-3493-41d6-9be9-e07a0ab42e56",
   "metadata": {},
   "source": [
    "### Zipfile, without changing chunking\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "8a710743-1c85-42cd-b8cb-8cc80d9c9a6c",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\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",
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       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
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       "\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:     (trajectory: 200, obs: 136)\n",
       "Coordinates:\n",
       "  * obs         (obs) int32 0 1 2 3 4 5 6 7 ... 128 129 130 131 132 133 134 135\n",
       "  * trajectory  (trajectory) int64 200 201 202 203 204 ... 395 396 397 398 399\n",
       "Data variables:\n",
       "    lat         (trajectory, obs) float32 dask.array&lt;chunksize=(200, 1), meta=np.ndarray&gt;\n",
       "    lon         (trajectory, obs) float32 dask.array&lt;chunksize=(200, 1), meta=np.ndarray&gt;\n",
       "    time        (trajectory, obs) timedelta64[ns] dask.array&lt;chunksize=(200, 1), meta=np.ndarray&gt;\n",
       "    z           (trajectory, obs) float32 dask.array&lt;chunksize=(200, 1), meta=np.ndarray&gt;\n",
       "Attributes:\n",
       "    Conventions:            CF-1.6/CF-1.7\n",
       "    feature_type:           trajectory\n",
       "    ncei_template_version:  NCEI_NetCDF_Trajectory_Template_v2.0\n",
       "    parcels_kernels:        ScipyParticleAdvectionRK4\n",
       "    parcels_mesh:           spherical\n",
       "    parcels_version:        v2.4.2-370-gd0cb4110</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-c5b857aa-696a-4834-bcc2-88c22a2ebd48' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c5b857aa-696a-4834-bcc2-88c22a2ebd48' 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'>trajectory</span>: 200</li><li><span class='xr-has-index'>obs</span>: 136</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-09a5f73e-97f5-4680-b658-263919649612' class='xr-section-summary-in' type='checkbox'  checked><label for='section-09a5f73e-97f5-4680-b658-263919649612' 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'>obs</span></div><div class='xr-var-dims'>(obs)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 131 132 133 134 135</div><input id='attrs-ea1baf8a-60e8-4aab-bec9-a2dc12e5074b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ea1baf8a-60e8-4aab-bec9-a2dc12e5074b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e3f651c4-2de0-464d-9d58-5ebc93e37ffb' class='xr-var-data-in' type='checkbox'><label for='data-e3f651c4-2de0-464d-9d58-5ebc93e37ffb' 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,   3,   4,   5,   6,   7,   8,   9,  10,  11,  12,  13,\n",
       "        14,  15,  16,  17,  18,  19,  20,  21,  22,  23,  24,  25,  26,  27,\n",
       "        28,  29,  30,  31,  32,  33,  34,  35,  36,  37,  38,  39,  40,  41,\n",
       "        42,  43,  44,  45,  46,  47,  48,  49,  50,  51,  52,  53,  54,  55,\n",
       "        56,  57,  58,  59,  60,  61,  62,  63,  64,  65,  66,  67,  68,  69,\n",
       "        70,  71,  72,  73,  74,  75,  76,  77,  78,  79,  80,  81,  82,  83,\n",
       "        84,  85,  86,  87,  88,  89,  90,  91,  92,  93,  94,  95,  96,  97,\n",
       "        98,  99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111,\n",
       "       112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125,\n",
       "       126, 127, 128, 129, 130, 131, 132, 133, 134, 135], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>trajectory</span></div><div class='xr-var-dims'>(trajectory)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>200 201 202 203 ... 396 397 398 399</div><input id='attrs-1fd3c59a-2ccd-4935-8c0b-c85f76b01662' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1fd3c59a-2ccd-4935-8c0b-c85f76b01662' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-433d67e9-1bea-48aa-be71-01838179208e' class='xr-var-data-in' type='checkbox'><label for='data-433d67e9-1bea-48aa-be71-01838179208e' 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([200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213,\n",
       "       214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227,\n",
       "       228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241,\n",
       "       242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255,\n",
       "       256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269,\n",
       "       270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283,\n",
       "       284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297,\n",
       "       298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311,\n",
       "       312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325,\n",
       "       326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339,\n",
       "       340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353,\n",
       "       354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367,\n",
       "       368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381,\n",
       "       382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395,\n",
       "       396, 397, 398, 399])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-880d74ac-1d27-4355-9696-29aa6fe09d79' class='xr-section-summary-in' type='checkbox'  checked><label for='section-880d74ac-1d27-4355-9696-29aa6fe09d79' class='xr-section-summary' >Data variables: <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>lat</span></div><div class='xr-var-dims'>(trajectory, obs)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(200, 1), meta=np.ndarray&gt;</div><input id='attrs-46a30d07-edc3-4be7-bc41-f22013e9b510' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-46a30d07-edc3-4be7-bc41-f22013e9b510' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d49d91a-157d-4feb-a711-bdbd02a769a0' class='xr-var-data-in' type='checkbox'><label for='data-3d49d91a-157d-4feb-a711-bdbd02a769a0' 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>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 106.25 kiB </td>\n",
       "                        <td> 800 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (200, 136) </td>\n",
       "                        <td> (200, 1) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 136 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "  <text x=\"101.600000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,101.600000,60.000000)\">200</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(trajectory, obs)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(200, 1), meta=np.ndarray&gt;</div><input id='attrs-4effacb3-30bc-43c2-8522-33f68cf15bdf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4effacb3-30bc-43c2-8522-33f68cf15bdf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f62a6937-498a-48eb-8056-4c2c4944555a' class='xr-var-data-in' type='checkbox'><label for='data-f62a6937-498a-48eb-8056-4c2c4944555a' 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>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 106.25 kiB </td>\n",
       "                        <td> 800 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (200, 136) </td>\n",
       "                        <td> (200, 1) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 136 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"131\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
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       "\n",
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       "  <line x1=\"8\" y1=\"0\" x2=\"8\" y2=\"120\" />\n",
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       "  <line x1=\"21\" y1=\"0\" x2=\"21\" y2=\"120\" />\n",
       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"120\" />\n",
       "  <line x1=\"29\" y1=\"0\" x2=\"29\" y2=\"120\" />\n",
       "  <line x1=\"34\" y1=\"0\" x2=\"34\" y2=\"120\" />\n",
       "  <line x1=\"38\" y1=\"0\" x2=\"38\" y2=\"120\" />\n",
       "  <line x1=\"42\" y1=\"0\" x2=\"42\" y2=\"120\" />\n",
       "  <line x1=\"46\" y1=\"0\" x2=\"46\" y2=\"120\" />\n",
       "  <line x1=\"50\" y1=\"0\" x2=\"50\" y2=\"120\" />\n",
       "  <line x1=\"55\" y1=\"0\" x2=\"55\" y2=\"120\" />\n",
       "  <line x1=\"59\" y1=\"0\" x2=\"59\" y2=\"120\" />\n",
       "  <line x1=\"64\" y1=\"0\" x2=\"64\" y2=\"120\" />\n",
       "  <line x1=\"68\" y1=\"0\" x2=\"68\" y2=\"120\" />\n",
       "  <line x1=\"72\" y1=\"0\" x2=\"72\" y2=\"120\" />\n",
       "  <line x1=\"76\" y1=\"0\" x2=\"76\" y2=\"120\" />\n",
       "  <line x1=\"81\" y1=\"0\" x2=\"81\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 81.6,0.0 81.6,120.0 0.0,120.0\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
       "\n",
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       "  <text x=\"40.800000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >136</text>\n",
       "  <text x=\"101.600000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,101.600000,60.000000)\">200</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>(trajectory, obs)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(200, 1), meta=np.ndarray&gt;</div><input id='attrs-5f931782-791d-4461-b02c-ef018c1cfea5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5f931782-791d-4461-b02c-ef018c1cfea5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69eccce2-586f-4a23-8001-ee78ee728226' class='xr-var-data-in' type='checkbox'><label for='data-69eccce2-586f-4a23-8001-ee78ee728226' 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>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 212.50 kiB </td>\n",
       "                        <td> 1.56 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (200, 136) </td>\n",
       "                        <td> (200, 1) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 136 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> timedelta64[ns] numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"131\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"81\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"120\" x2=\"81\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"4\" y1=\"0\" x2=\"4\" y2=\"120\" />\n",
       "  <line x1=\"8\" y1=\"0\" x2=\"8\" y2=\"120\" />\n",
       "  <line x1=\"12\" y1=\"0\" x2=\"12\" y2=\"120\" />\n",
       "  <line x1=\"16\" y1=\"0\" x2=\"16\" y2=\"120\" />\n",
       "  <line x1=\"21\" y1=\"0\" x2=\"21\" y2=\"120\" />\n",
       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"120\" />\n",
       "  <line x1=\"29\" y1=\"0\" x2=\"29\" y2=\"120\" />\n",
       "  <line x1=\"34\" y1=\"0\" x2=\"34\" y2=\"120\" />\n",
       "  <line x1=\"38\" y1=\"0\" x2=\"38\" y2=\"120\" />\n",
       "  <line x1=\"42\" y1=\"0\" x2=\"42\" y2=\"120\" />\n",
       "  <line x1=\"46\" y1=\"0\" x2=\"46\" y2=\"120\" />\n",
       "  <line x1=\"50\" y1=\"0\" x2=\"50\" y2=\"120\" />\n",
       "  <line x1=\"55\" y1=\"0\" x2=\"55\" y2=\"120\" />\n",
       "  <line x1=\"59\" y1=\"0\" x2=\"59\" y2=\"120\" />\n",
       "  <line x1=\"64\" y1=\"0\" x2=\"64\" y2=\"120\" />\n",
       "  <line x1=\"68\" y1=\"0\" x2=\"68\" y2=\"120\" />\n",
       "  <line x1=\"72\" y1=\"0\" x2=\"72\" y2=\"120\" />\n",
       "  <line x1=\"76\" y1=\"0\" x2=\"76\" y2=\"120\" />\n",
       "  <line x1=\"81\" y1=\"0\" x2=\"81\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 81.6,0.0 81.6,120.0 0.0,120.0\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"40.800000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >136</text>\n",
       "  <text x=\"101.600000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,101.600000,60.000000)\">200</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z</span></div><div class='xr-var-dims'>(trajectory, obs)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(200, 1), meta=np.ndarray&gt;</div><input id='attrs-28076067-543c-4635-8e00-320b90c16dc7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-28076067-543c-4635-8e00-320b90c16dc7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-14861320-380c-49f9-80c2-191f8be328c5' class='xr-var-data-in' type='checkbox'><label for='data-14861320-380c-49f9-80c2-191f8be328c5' 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>long_name :</span></dt><dd></dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>standard_name :</span></dt><dd>depth</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 106.25 kiB </td>\n",
       "                        <td> 800 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (200, 136) </td>\n",
       "                        <td> (200, 1) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 136 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"131\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"81\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"120\" x2=\"81\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"4\" y1=\"0\" x2=\"4\" y2=\"120\" />\n",
       "  <line x1=\"8\" y1=\"0\" x2=\"8\" y2=\"120\" />\n",
       "  <line x1=\"12\" y1=\"0\" x2=\"12\" y2=\"120\" />\n",
       "  <line x1=\"16\" y1=\"0\" x2=\"16\" y2=\"120\" />\n",
       "  <line x1=\"21\" y1=\"0\" x2=\"21\" y2=\"120\" />\n",
       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"120\" />\n",
       "  <line x1=\"29\" y1=\"0\" x2=\"29\" y2=\"120\" />\n",
       "  <line x1=\"34\" y1=\"0\" x2=\"34\" y2=\"120\" />\n",
       "  <line x1=\"38\" y1=\"0\" x2=\"38\" y2=\"120\" />\n",
       "  <line x1=\"42\" y1=\"0\" x2=\"42\" y2=\"120\" />\n",
       "  <line x1=\"46\" y1=\"0\" x2=\"46\" y2=\"120\" />\n",
       "  <line x1=\"50\" y1=\"0\" x2=\"50\" y2=\"120\" />\n",
       "  <line x1=\"55\" y1=\"0\" x2=\"55\" y2=\"120\" />\n",
       "  <line x1=\"59\" y1=\"0\" x2=\"59\" y2=\"120\" />\n",
       "  <line x1=\"64\" y1=\"0\" x2=\"64\" y2=\"120\" />\n",
       "  <line x1=\"68\" y1=\"0\" x2=\"68\" y2=\"120\" />\n",
       "  <line x1=\"72\" y1=\"0\" x2=\"72\" y2=\"120\" />\n",
       "  <line x1=\"76\" y1=\"0\" x2=\"76\" y2=\"120\" />\n",
       "  <line x1=\"81\" y1=\"0\" x2=\"81\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 81.6,0.0 81.6,120.0 0.0,120.0\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"40.800000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >136</text>\n",
       "  <text x=\"101.600000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,101.600000,60.000000)\">200</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-bb05a4eb-8417-4a8b-b332-c3333673f4a6' class='xr-section-summary-in' type='checkbox'  ><label for='section-bb05a4eb-8417-4a8b-b332-c3333673f4a6' 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>obs</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-bda34d41-5a98-453a-b93d-0ad461f77741' class='xr-index-data-in' type='checkbox'/><label for='index-bda34d41-5a98-453a-b93d-0ad461f77741' 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(Index([  0,   1,   2,   3,   4,   5,   6,   7,   8,   9,\n",
       "       ...\n",
       "       126, 127, 128, 129, 130, 131, 132, 133, 134, 135],\n",
       "      dtype=&#x27;int32&#x27;, name=&#x27;obs&#x27;, length=136))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>trajectory</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-70552d13-6ac2-4939-aa26-a344382e9960' class='xr-index-data-in' type='checkbox'/><label for='index-70552d13-6ac2-4939-aa26-a344382e9960' 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(Index([200, 201, 202, 203, 204, 205, 206, 207, 208, 209,\n",
       "       ...\n",
       "       390, 391, 392, 393, 394, 395, 396, 397, 398, 399],\n",
       "      dtype=&#x27;int64&#x27;, name=&#x27;trajectory&#x27;, length=200))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c33ead01-3cb0-4267-b2d6-c1e5eaf31d78' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c33ead01-3cb0-4267-b2d6-c1e5eaf31d78' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.6/CF-1.7</dd><dt><span>feature_type :</span></dt><dd>trajectory</dd><dt><span>ncei_template_version :</span></dt><dd>NCEI_NetCDF_Trajectory_Template_v2.0</dd><dt><span>parcels_kernels :</span></dt><dd>ScipyParticleAdvectionRK4</dd><dt><span>parcels_mesh :</span></dt><dd>spherical</dd><dt><span>parcels_version :</span></dt><dd>v2.4.2-370-gd0cb4110</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:     (trajectory: 200, obs: 136)\n",
       "Coordinates:\n",
       "  * obs         (obs) int32 0 1 2 3 4 5 6 7 ... 128 129 130 131 132 133 134 135\n",
       "  * trajectory  (trajectory) int64 200 201 202 203 204 ... 395 396 397 398 399\n",
       "Data variables:\n",
       "    lat         (trajectory, obs) float32 dask.array<chunksize=(200, 1), meta=np.ndarray>\n",
       "    lon         (trajectory, obs) float32 dask.array<chunksize=(200, 1), meta=np.ndarray>\n",
       "    time        (trajectory, obs) timedelta64[ns] dask.array<chunksize=(200, 1), meta=np.ndarray>\n",
       "    z           (trajectory, obs) float32 dask.array<chunksize=(200, 1), meta=np.ndarray>\n",
       "Attributes:\n",
       "    Conventions:            CF-1.6/CF-1.7\n",
       "    feature_type:           trajectory\n",
       "    ncei_template_version:  NCEI_NetCDF_Trajectory_Template_v2.0\n",
       "    parcels_kernels:        ScipyParticleAdvectionRK4\n",
       "    parcels_mesh:           spherical\n",
       "    parcels_version:        v2.4.2-370-gd0cb4110"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# create store\n",
    "output_zipstore_name = \"zarr_advanced_01.zip\"\n",
    "!rm -f {output_zipstore_name}\n",
    "output_zipstore = zarr.storage.ZipStore(output_zipstore_name, mode=\"w\")\n",
    "\n",
    "# copy\n",
    "zarr.convenience.copy_store(output_memorystore, output_zipstore)\n",
    "output_zipstore.close()\n",
    "\n",
    "# have a quick look\n",
    "ds_out = xr.open_zarr(output_zipstore_name)\n",
    "display(ds_out)\n",
    "ds_out.to_dataframe().plot.scatter(x=\"lon\", y=\"lat\", s=2, alpha=0.1);"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "6efe0f7b-2a0b-4d2d-862b-1d79e536efe9",
   "metadata": {},
   "source": [
    "### Rechunking and saving to new stores\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "e46d4b23-4561-4610-9d66-bd142cfd588a",
   "metadata": {},
   "source": [
    "Consider the current chunking (let's load the memory store again):\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "11823207-3fa5-455d-ba66-d5e298fa4a83",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 106.25 kiB </td>\n",
       "                        <td> 800 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (200, 136) </td>\n",
       "                        <td> (200, 1) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 136 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "dask.array<open_dataset-lat, shape=(200, 136), dtype=float32, chunksize=(200, 1), chunktype=numpy.ndarray>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "Frozen({'trajectory': (200,), 'obs': (1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1)})"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds_out_orig = xr.open_zarr(output_memorystore)\n",
    "display(ds_out_orig.lat.data)\n",
    "display(ds_out_orig.chunks)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "581c6db4-a2c1-44d6-bb46-ecd4bf91b704",
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   "source": [
    "So we have one chunk per `obs` slice which covers all trajectories. This is the optimal way of _creating_ the recorded dataset at simulation time, but may not be ideal for, e.g., time filtering.\n",
    "\n",
    "So let's turn this into a store which only covers 10 trajectories per chunk but 40 time steps:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "fc27e257-8d92-4263-90c7-58b338803444",
   "metadata": {},
   "outputs": [
    {
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       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 106.25 kiB </td>\n",
       "                        <td> 1.56 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                        <td> (10, 40) </td>\n",
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       "                        <td colspan=\"2\"> 80 chunks in 4 graph layers </td>\n",
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      "text/plain": [
       "dask.array<rechunk-merge, shape=(200, 136), dtype=float32, chunksize=(10, 40), chunktype=numpy.ndarray>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "Frozen({'trajectory': (10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10), 'obs': (40, 40, 40, 16)})"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds_out_rechunked = ds_out_orig.chunk({\"trajectory\": 10, \"obs\": 40})\n",
    "display(ds_out_rechunked.lat.data)\n",
    "display(ds_out_rechunked.chunks)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "8a5d7e77-c222-415e-a009-c6c59a290b97",
   "metadata": {},
   "source": [
    "And of course, we could now save the rechunked data into a zip store or a directory store:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "b936111c-8e23-485f-ba09-cf6c09c82339",
   "metadata": {},
   "outputs": [],
   "source": [
    "# necessary because of https://github.com/pydata/xarray/issues/4380\n",
    "for vname, vobj in ds_out_rechunked.data_vars.items():\n",
    "    if \"chunks\" in vobj.encoding:\n",
    "        del vobj.encoding[\"chunks\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "6c1cc7e6-8c31-4759-9f1d-2ac5b4118f8b",
   "metadata": {},
   "outputs": [],
   "source": [
    "ds_out_rechunked.to_zarr(\"zarr_advanced_01_rechunked.zarr/\", mode=\"w\")\n",
    "# new directory store\n",
    "ds_out_rechunked.to_zarr(\n",
    "    zarr.storage.ZipStore(\"zarr_advanced_01_rechunked.zip\", mode=\"w\")\n",
    ");  # new zip store"
   ]
  }
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