examples/examples.ipynb

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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Sample xarray reps of VELMOD and DGM"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Intro"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import sys\n",
    "sys.path.insert(0, os.path.abspath('..'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import xarray as xr\n",
    "import pyproj as prj\n",
    "import matplotlib.pyplot as plt\n",
    "from preseis.dgm_velmod_sampler import sample_dgm_velmod"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Read VELMOD and DGM in xarray format. Use the `decode_coords=\"all\"` option for loading georeferenced data optimally (https://corteva.github.io/rioxarray/stable/getting_started/getting_started.html)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "velmod = xr.load_dataset(\"../build/output/VELMOD31_UTM31.h5\", decode_coords=\"all\")\n",
    "dgm = xr.load_dataset(\"../build/output/DGM5_UTM31.h5\", decode_coords=\"all\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Prepare coordinate transformers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "crs_GPS, crs_UTM, crs_RD = (\n",
    "    prj.CRS(\"EPSG:4326\"),\n",
    "    prj.CRS(\"EPSG:23031\"),\n",
    "    prj.CRS(\"EPSG:28992\"),\n",
    ")\n",
    "RD_to_UTM = prj.Transformer.from_crs(crs_RD, crs_UTM)\n",
    "RD_to_GPS = prj.Transformer.from_crs(crs_RD, crs_GPS)\n",
    "UTM_to_RD = prj.Transformer.from_crs(crs_UTM, crs_RD)\n",
    "UTM_to_GPS = prj.Transformer.from_crs(crs_UTM, crs_GPS)\n",
    "GPS_to_UTM = prj.Transformer.from_crs(crs_GPS, crs_UTM)\n",
    "GPS_to_RD = prj.Transformer.from_crs(crs_GPS, crs_RD)\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create Vinst grid in RD coordinates"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Define grid in RD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# X,Y samples\n",
    "xsmp_RD, dx = np.linspace(100000.0, 112000.0, 241, retstep=True)\n",
    "ysmp_RD, dy = np.linspace(500000.0, 512000.0, 241, retstep=True)\n",
    "zsmp, dz = np.linspace(-6000.0, 0.0, 121, retstep=True)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Prepare xarray representation, without data, just coordinates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "grid = xr.Dataset(\n",
    "    coords={\n",
    "        \"x\": xsmp_RD,\n",
    "        \"y\": ysmp_RD,\n",
    "        \"z\": zsmp\n",
    "        }\n",
    "    )\\\n",
    "    .rio.write_crs(crs_RD.to_epsg())\\\n",
    "    .rio.write_coordinate_system()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Determine UTM coordinates for all grid points"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_UTM, y_UTM = xr.apply_ufunc(\n",
    "    RD_to_UTM.transform,\n",
    "    grid[\"x\"], grid[\"y\"],\n",
    "    output_core_dims=[[], []],\n",
    "    vectorize=True, # prj Transformers do not broadcast\n",
    "    keep_attrs=True\n",
    "    )"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Sample models to cube, no need to pass CRS since it is represented in the x_UTM data structure"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "dgm_velmod_cube = sample_dgm_velmod(x_UTM, y_UTM, grid[\"z\"], dgm=dgm, velmod=velmod)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
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       "    unit_samples  (z, x, y) object &#x27;DC&#x27; &#x27;DC&#x27; &#x27;DC&#x27; &#x27;DC&#x27; ... &#x27;NU&#x27; &#x27;NU&#x27; &#x27;NU&#x27; &#x27;NU&#x27;\n",
       "    unit_mask     (unit, z, x, y) bool False False False ... False False False\n",
       "    Vinst         (x, y, z) float64 5.193e+03 5.18e+03 ... 1.724e+03 1.702e+03</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-4a81cf91-d218-4d15-9b1f-ea965835fd7b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4a81cf91-d218-4d15-9b1f-ea965835fd7b' 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'>unit</span>: 11</li><li><span class='xr-has-index'>x</span>: 241</li><li><span class='xr-has-index'>y</span>: 241</li><li><span class='xr-has-index'>z</span>: 121</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-84328240-0dd3-4dd6-ac1a-c8fca1b8c938' class='xr-section-summary-in' type='checkbox'  checked><label for='section-84328240-0dd3-4dd6-ac1a-c8fca1b8c938' class='xr-section-summary' >Coordinates: <span>(5)</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'>unit</span></div><div class='xr-var-dims'>(unit)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;NU&#x27; &#x27;NLNM&#x27; &#x27;CK&#x27; ... &#x27;ZE&#x27; &#x27;RO&#x27; &#x27;DC&#x27;</div><input id='attrs-c37449cf-46f1-487a-befc-9419bf84bca4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c37449cf-46f1-487a-befc-9419bf84bca4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-690a2f86-9510-43b0-a179-e8113f0d43d1' class='xr-var-data-in' type='checkbox'><label for='data-690a2f86-9510-43b0-a179-e8113f0d43d1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;NU&#x27;, &#x27;NLNM&#x27;, &#x27;CK&#x27;, &#x27;KN&#x27;, &#x27;S&#x27;, &#x27;AT&#x27;, &#x27;RN&#x27;, &#x27;RB&#x27;, &#x27;ZE&#x27;, &#x27;RO&#x27;, &#x27;DC&#x27;],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+05 1e+05 ... 1.12e+05 1.12e+05</div><input id='attrs-0a4344ca-0279-4852-89b6-bd9a05c8f775' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0a4344ca-0279-4852-89b6-bd9a05c8f775' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f863cc8e-3170-4b9a-8aa8-bd3c640e441f' class='xr-var-data-in' type='checkbox'><label for='data-f863cc8e-3170-4b9a-8aa8-bd3c640e441f' 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>x coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>units :</span></dt><dd>metre</dd></dl></div><div class='xr-var-data'><pre>array([100000., 100050., 100100., ..., 111900., 111950., 112000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5e+05 5e+05 ... 5.12e+05 5.12e+05</div><input id='attrs-e8ab463b-aff5-46d4-a870-08f620a74d67' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e8ab463b-aff5-46d4-a870-08f620a74d67' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-22d48918-d3c3-405c-bc4c-42c8f9037ce7' class='xr-var-data-in' type='checkbox'><label for='data-22d48918-d3c3-405c-bc4c-42c8f9037ce7' 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>y coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>units :</span></dt><dd>metre</dd></dl></div><div class='xr-var-data'><pre>array([500000., 500050., 500100., ..., 511900., 511950., 512000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>z</span></div><div class='xr-var-dims'>(z)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-6e+03 -5.95e+03 ... -50.0 0.0</div><input id='attrs-f098fe3a-2449-40a0-8c51-2d24fbb233ee' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f098fe3a-2449-40a0-8c51-2d24fbb233ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-96dd9bff-a4bf-455f-957e-008725dd5434' class='xr-var-data-in' type='checkbox'><label for='data-96dd9bff-a4bf-455f-957e-008725dd5434' 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([-6000., -5950., -5900., -5850., -5800., -5750., -5700., -5650., -5600.,\n",
       "       -5550., -5500., -5450., -5400., -5350., -5300., -5250., -5200., -5150.,\n",
       "       -5100., -5050., -5000., -4950., -4900., -4850., -4800., -4750., -4700.,\n",
       "       -4650., -4600., -4550., -4500., -4450., -4400., -4350., -4300., -4250.,\n",
       "       -4200., -4150., -4100., -4050., -4000., -3950., -3900., -3850., -3800.,\n",
       "       -3750., -3700., -3650., -3600., -3550., -3500., -3450., -3400., -3350.,\n",
       "       -3300., -3250., -3200., -3150., -3100., -3050., -3000., -2950., -2900.,\n",
       "       -2850., -2800., -2750., -2700., -2650., -2600., -2550., -2500., -2450.,\n",
       "       -2400., -2350., -2300., -2250., -2200., -2150., -2100., -2050., -2000.,\n",
       "       -1950., -1900., -1850., -1800., -1750., -1700., -1650., -1600., -1550.,\n",
       "       -1500., -1450., -1400., -1350., -1300., -1250., -1200., -1150., -1100.,\n",
       "       -1050., -1000.,  -950.,  -900.,  -850.,  -800.,  -750.,  -700.,  -650.,\n",
       "        -600.,  -550.,  -500.,  -450.,  -400.,  -350.,  -300.,  -250.,  -200.,\n",
       "        -150.,  -100.,   -50.,     0.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-2895cc24-a017-4f05-a8c5-7d0867344aef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2895cc24-a017-4f05-a8c5-7d0867344aef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4f38a2ed-91d9-49e6-8696-e8eeb01e2de0' class='xr-var-data-in' type='checkbox'><label for='data-4f38a2ed-91d9-49e6-8696-e8eeb01e2de0' 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>crs_wkt :</span></dt><dd>PROJCS[&quot;Amersfoort / RD New&quot;,GEOGCS[&quot;Amersfoort&quot;,DATUM[&quot;Amersfoort&quot;,SPHEROID[&quot;Bessel 1841&quot;,6377397.155,299.1528128,AUTHORITY[&quot;EPSG&quot;,&quot;7004&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6289&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4289&quot;]],PROJECTION[&quot;Oblique_Stereographic&quot;],PARAMETER[&quot;latitude_of_origin&quot;,52.1561605555556],PARAMETER[&quot;central_meridian&quot;,5.38763888888889],PARAMETER[&quot;scale_factor&quot;,0.9999079],PARAMETER[&quot;false_easting&quot;,155000],PARAMETER[&quot;false_northing&quot;,463000],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;28992&quot;]]</dd><dt><span>spatial_ref :</span></dt><dd>PROJCS[&quot;Amersfoort / RD New&quot;,GEOGCS[&quot;Amersfoort&quot;,DATUM[&quot;Amersfoort&quot;,SPHEROID[&quot;Bessel 1841&quot;,6377397.155,299.1528128,AUTHORITY[&quot;EPSG&quot;,&quot;7004&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6289&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4289&quot;]],PROJECTION[&quot;Oblique_Stereographic&quot;],PARAMETER[&quot;latitude_of_origin&quot;,52.1561605555556],PARAMETER[&quot;central_meridian&quot;,5.38763888888889],PARAMETER[&quot;scale_factor&quot;,0.9999079],PARAMETER[&quot;false_easting&quot;,155000],PARAMETER[&quot;false_northing&quot;,463000],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;28992&quot;]]</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dd065cb3-a057-45dc-8659-6bdc5b0003bf' class='xr-section-summary-in' type='checkbox'  checked><label for='section-dd065cb3-a057-45dc-8659-6bdc5b0003bf' class='xr-section-summary' >Data variables: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>V0</span></div><div class='xr-var-dims'>(x, y, unit)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.73e+03 1.822e+03 ... 3.651e+03</div><input id='attrs-007af8dc-e80e-450a-b4e8-e5aad7bdd03a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-007af8dc-e80e-450a-b4e8-e5aad7bdd03a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-85c2f4b0-19b5-478b-87e1-50c35485282d' class='xr-var-data-in' type='checkbox'><label for='data-85c2f4b0-19b5-478b-87e1-50c35485282d' 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([[[1730.46881653, 1821.70569487, 2222.94428592, ...,\n",
       "         4287.90768066, 3190.76948347, 3627.13897394],\n",
       "        [1730.4664993 , 1821.67523811, 2222.94428592, ...,\n",
       "         4287.82305436, 3190.88434856, 3627.34792606],\n",
       "        [1730.46478605, 1821.64470281, 2222.94428592, ...,\n",
       "         4287.73894656, 3190.99976036, 3627.55664904],\n",
       "        ...,\n",
       "        [1730.23988085, 1823.59283207, 2222.94428592, ...,\n",
       "         4507.34331816, 3168.45021605, 3491.05458989],\n",
       "        [1730.0072885 , 1823.59264052, 2222.94428592, ...,\n",
       "         4496.14957898, 3168.03911328, 3490.38637145],\n",
       "        [1729.77418754, 1823.59222854, 2222.94428592, ...,\n",
       "         4484.88677509, 3167.62984656, 3489.72000218]],\n",
       "\n",
       "       [[1729.96134022, 1821.68410427, 2222.94428592, ...,\n",
       "         4287.49203567, 3190.72874553, 3628.31934674],\n",
       "        [1729.95675569, 1821.6528801 , 2222.94428592, ...,\n",
       "         4287.40042191, 3190.82463134, 3628.52830835],\n",
       "        [1729.95138506, 1821.62153976, 2222.94428592, ...,\n",
       "         4287.30734984, 3190.92154391, 3628.73707392],\n",
       "...\n",
       "        [1703.11238146, 1755.67167473, 2222.94428592, ...,\n",
       "         4619.6503967 , 3053.68403362, 3655.60706819],\n",
       "        [1702.85157234, 1754.97569619, 2222.94428592, ...,\n",
       "         4612.32807044, 3053.15126597, 3653.85570504],\n",
       "        [1702.59090379, 1754.27974797, 2222.94428592, ...,\n",
       "         4604.98218626, 3052.61601672, 3652.10364925]],\n",
       "\n",
       "       [[1701.52577089, 1820.74511498, 2222.94428592, ...,\n",
       "         4690.00369718, 3266.03870498, 3834.14320837],\n",
       "        [1701.32017023, 1821.00516546, 2222.94428592, ...,\n",
       "         4689.44702303, 3265.01362993, 3834.83300483],\n",
       "        [1701.11366489, 1821.26523086, 2222.94428592, ...,\n",
       "         4688.86882561, 3263.98859143, 3835.5228897 ],\n",
       "        ...,\n",
       "        [1702.71296356, 1755.30925099, 2222.94428592, ...,\n",
       "         4625.40972871, 3054.27885959, 3654.90185063],\n",
       "        [1702.45003347, 1754.61281599, 2222.94428592, ...,\n",
       "         4618.44303277, 3053.78355414, 3653.16094648],\n",
       "        [1702.18724396, 1753.9164113 , 2222.94428592, ...,\n",
       "         4611.45277886, 3053.28576709, 3651.41934968]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>V0_sd</span></div><div class='xr-var-dims'>(x, y, unit)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>65.34 75.32 184.5 ... 189.1 188.7</div><input id='attrs-f989bf0a-0fd0-4d01-b40c-5c107ad380bf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f989bf0a-0fd0-4d01-b40c-5c107ad380bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7dd08710-c8bb-4fd3-afd8-da0a75bfad39' class='xr-var-data-in' type='checkbox'><label for='data-7dd08710-c8bb-4fd3-afd8-da0a75bfad39' 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([[[ 65.33749659,  75.32362248, 184.53863177, ..., 300.02152215,\n",
       "         269.12147671, 260.29553482],\n",
       "        [ 65.2893844 ,  75.27694548, 184.53863177, ..., 299.82084589,\n",
       "         268.97841715, 260.14996988],\n",
       "        [ 65.24129266,  75.23027622, 184.53863177, ..., 299.62024395,\n",
       "         268.83539889, 260.00448632],\n",
       "        ...,\n",
       "        [ 45.67595777,  55.15813321, 184.53863177, ..., 229.84937979,\n",
       "         217.99034037, 196.70730492],\n",
       "        [ 45.57716418,  55.05613667, 184.53863177, ..., 229.51456691,\n",
       "         217.64660854, 196.46103154],\n",
       "        [ 45.47851285,  54.95430155, 184.53863177, ..., 229.18029271,\n",
       "         217.30279673, 196.2152167 ]],\n",
       "\n",
       "       [[ 65.26819212,  75.2559015 , 184.53863177, ..., 299.83539488,\n",
       "         268.95780718, 260.00063052],\n",
       "        [ 65.22051886,  75.2095542 , 184.53863177, ..., 299.6354946 ,\n",
       "         268.81548653, 259.85659694],\n",
       "        [ 65.17284888,  75.16323381, 184.53863177, ..., 299.43568264,\n",
       "         268.67325806, 259.71264649],\n",
       "...\n",
       "        [ 41.49976411,  48.4046229 , 184.53863177, ..., 202.28181651,\n",
       "         189.74926115, 188.38850112],\n",
       "        [ 41.43255043,  48.25473724, 184.53863177, ..., 201.9175471 ,\n",
       "         189.50729123, 188.36873989],\n",
       "        [ 41.36557297,  48.10493888, 184.53863177, ..., 201.55384893,\n",
       "         189.26586859, 188.34942013]],\n",
       "\n",
       "       [[ 55.2141806 ,  64.67812982, 184.53863177, ..., 256.84719085,\n",
       "         231.71680882, 220.91016569],\n",
       "        [ 55.12318724,  64.57784519, 184.53863177, ..., 256.42440925,\n",
       "         231.42677927, 220.68156285],\n",
       "        [ 55.0321856 ,  64.47755324, 184.53863177, ..., 256.00163633,\n",
       "         231.13675465, 220.45272116],\n",
       "        ...,\n",
       "        [ 41.43551153,  48.38008453, 184.53863177, ..., 202.05463176,\n",
       "         189.58097   , 188.72584671],\n",
       "        [ 41.36473178,  48.2288809 , 184.53863177, ..., 201.68173942,\n",
       "         189.3307385 , 188.69941993],\n",
       "        [ 41.29418826,  48.07776458, 184.53863177, ..., 201.30941831,\n",
       "         189.08105429, 188.67343462]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>k</span></div><div class='xr-var-dims'>(unit)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.436 0.235 0.889 ... 0.309 0.261</div><input id='attrs-ca39668c-845d-4e02-93af-478fc369ecb3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ca39668c-845d-4e02-93af-478fc369ecb3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a5d27c7e-f5c5-4f15-b079-28f2cdf34433' class='xr-var-data-in' type='checkbox'><label for='data-a5d27c7e-f5c5-4f15-b079-28f2cdf34433' 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([0.436, 0.235, 0.889, 0.536, 0.52 , 0.436, 0.361, 0.406, 0.   ,\n",
       "       0.309, 0.261])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>depth</span></div><div class='xr-var-dims'>(x, y, unit)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-902.7 -1.002e+03 ... -inf</div><input id='attrs-e5740c93-c5f7-491e-92d9-6db06cf6294d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e5740c93-c5f7-491e-92d9-6db06cf6294d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26af4952-3762-437e-bd01-5aa6153157fe' class='xr-var-data-in' type='checkbox'><label for='data-26af4952-3762-437e-bd01-5aa6153157fe' 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([[[ -902.65993478, -1002.44865732, -1002.44865732, ...,\n",
       "         -2412.29855475, -2609.32583543,           -inf],\n",
       "        [ -903.09840998, -1003.54465297, -1003.54465297, ...,\n",
       "         -2403.10581526, -2600.38261872,           -inf],\n",
       "        [ -903.53880469, -1004.64657293, -1004.64657293, ...,\n",
       "         -2394.01281224, -2591.5391918 ,           -inf],\n",
       "        ...,\n",
       "        [ -752.35142048,  -875.69712595,  -875.69712595, ...,\n",
       "         -2575.12091716, -2811.45529137,           -inf],\n",
       "        [ -752.6146595 ,  -877.8338801 ,  -877.8338801 , ...,\n",
       "         -2570.19857837, -2806.51248195,           -inf],\n",
       "        [ -752.88175704,  -880.00562947,  -880.00562947, ...,\n",
       "         -2565.28428339, -2801.57773341,           -inf]],\n",
       "\n",
       "       [[ -904.72168893, -1003.88880945, -1003.88880945, ...,\n",
       "         -2402.90460079, -2599.75723061,           -inf],\n",
       "        [ -905.14562079, -1004.91176922, -1004.91176922, ...,\n",
       "         -2392.60260583, -2589.70393089,           -inf],\n",
       "        [ -905.57714858, -1005.94320907, -1005.94320907, ...,\n",
       "         -2382.21940083, -2579.56947471,           -inf],\n",
       "...\n",
       "        [ -718.18535496,  -867.96416284,  -867.96416284, ...,\n",
       "         -2500.83245201, -2738.81641863,           -inf],\n",
       "        [ -718.43415369,  -867.87133377,  -867.87133377, ...,\n",
       "         -2491.174322  , -2728.98000045,           -inf],\n",
       "        [ -718.68071098,  -867.77361249,  -867.77361249, ...,\n",
       "         -2481.47956142, -2719.10688505,           -inf]],\n",
       "\n",
       "       [[ -807.27844348,  -914.72752993,  -914.72752993, ...,\n",
       "         -1798.28570518, -1982.06484121,           -inf],\n",
       "        [ -807.77610709,  -914.52066815,  -914.52066815, ...,\n",
       "         -1804.16227619, -1988.15368384,           -inf],\n",
       "        [ -808.27370238,  -914.31776513,  -914.31776513, ...,\n",
       "         -1810.02172722, -1994.22538404,           -inf],\n",
       "        ...,\n",
       "        [ -717.69336643,  -866.68319254,  -866.68319254, ...,\n",
       "         -2481.64791292, -2719.87896879,           -inf],\n",
       "        [ -717.97600437,  -866.6642223 ,  -866.6642223 , ...,\n",
       "         -2472.54283118, -2710.59660432,           -inf],\n",
       "        [ -718.25640086,  -866.64035985,  -866.64035985, ...,\n",
       "         -2463.4011188 , -2701.27754257,           -inf]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ordering</span></div><div class='xr-var-dims'>(unit)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1 2 5 6 10 15 17 18 19 20 22</div><input id='attrs-2b89479d-780f-4cb9-87b8-d17e1faba1ba' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2b89479d-780f-4cb9-87b8-d17e1faba1ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a61dd1eb-7c5c-455d-9ebf-b976443e8db8' class='xr-var-data-in' type='checkbox'><label for='data-a61dd1eb-7c5c-455d-9ebf-b976443e8db8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1,  2,  5,  6, 10, 15, 17, 18, 19, 20, 22], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>unit_samples</span></div><div class='xr-var-dims'>(z, x, y)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;DC&#x27; &#x27;DC&#x27; &#x27;DC&#x27; ... &#x27;NU&#x27; &#x27;NU&#x27; &#x27;NU&#x27;</div><input id='attrs-1db77e97-2662-4689-9f23-58d63444b8a5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1db77e97-2662-4689-9f23-58d63444b8a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ce5d847-103b-43f4-babe-6e1670ff5d94' class='xr-var-data-in' type='checkbox'><label for='data-5ce5d847-103b-43f4-babe-6e1670ff5d94' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[&#x27;DC&#x27;, &#x27;DC&#x27;, &#x27;DC&#x27;, ..., &#x27;DC&#x27;, &#x27;DC&#x27;, &#x27;DC&#x27;],\n",
       "        [&#x27;DC&#x27;, &#x27;DC&#x27;, &#x27;DC&#x27;, ..., &#x27;DC&#x27;, &#x27;DC&#x27;, &#x27;DC&#x27;],\n",
       "        [&#x27;DC&#x27;, &#x27;DC&#x27;, &#x27;DC&#x27;, ..., &#x27;DC&#x27;, &#x27;DC&#x27;, &#x27;DC&#x27;],\n",
       "        ...,\n",
       "        [&#x27;DC&#x27;, &#x27;DC&#x27;, &#x27;DC&#x27;, ..., &#x27;DC&#x27;, &#x27;DC&#x27;, &#x27;DC&#x27;],\n",
       "        [&#x27;DC&#x27;, &#x27;DC&#x27;, &#x27;DC&#x27;, ..., &#x27;DC&#x27;, &#x27;DC&#x27;, &#x27;DC&#x27;],\n",
       "        [&#x27;DC&#x27;, &#x27;DC&#x27;, &#x27;DC&#x27;, ..., &#x27;DC&#x27;, &#x27;DC&#x27;, &#x27;DC&#x27;]],\n",
       "\n",
       "       [[&#x27;DC&#x27;, &#x27;DC&#x27;, &#x27;DC&#x27;, ..., &#x27;DC&#x27;, &#x27;DC&#x27;, &#x27;DC&#x27;],\n",
       "        [&#x27;DC&#x27;, &#x27;DC&#x27;, &#x27;DC&#x27;, ..., &#x27;DC&#x27;, &#x27;DC&#x27;, &#x27;DC&#x27;],\n",
       "        [&#x27;DC&#x27;, &#x27;DC&#x27;, &#x27;DC&#x27;, ..., &#x27;DC&#x27;, &#x27;DC&#x27;, &#x27;DC&#x27;],\n",
       "        ...,\n",
       "        [&#x27;DC&#x27;, &#x27;DC&#x27;, &#x27;DC&#x27;, ..., &#x27;DC&#x27;, &#x27;DC&#x27;, &#x27;DC&#x27;],\n",
       "        [&#x27;DC&#x27;, &#x27;DC&#x27;, &#x27;DC&#x27;, ..., &#x27;DC&#x27;, &#x27;DC&#x27;, &#x27;DC&#x27;],\n",
       "        [&#x27;DC&#x27;, &#x27;DC&#x27;, &#x27;DC&#x27;, ..., &#x27;DC&#x27;, &#x27;DC&#x27;, &#x27;DC&#x27;]],\n",
       "\n",
       "       [[&#x27;DC&#x27;, &#x27;DC&#x27;, &#x27;DC&#x27;, ..., &#x27;DC&#x27;, &#x27;DC&#x27;, &#x27;DC&#x27;],\n",
       "        [&#x27;DC&#x27;, &#x27;DC&#x27;, &#x27;DC&#x27;, ..., &#x27;DC&#x27;, &#x27;DC&#x27;, &#x27;DC&#x27;],\n",
       "        [&#x27;DC&#x27;, &#x27;DC&#x27;, &#x27;DC&#x27;, ..., &#x27;DC&#x27;, &#x27;DC&#x27;, &#x27;DC&#x27;],\n",
       "        ...,\n",
       "...\n",
       "        ...,\n",
       "        [&#x27;NU&#x27;, &#x27;NU&#x27;, &#x27;NU&#x27;, ..., &#x27;NU&#x27;, &#x27;NU&#x27;, &#x27;NU&#x27;],\n",
       "        [&#x27;NU&#x27;, &#x27;NU&#x27;, &#x27;NU&#x27;, ..., &#x27;NU&#x27;, &#x27;NU&#x27;, &#x27;NU&#x27;],\n",
       "        [&#x27;NU&#x27;, &#x27;NU&#x27;, &#x27;NU&#x27;, ..., &#x27;NU&#x27;, &#x27;NU&#x27;, &#x27;NU&#x27;]],\n",
       "\n",
       "       [[&#x27;NU&#x27;, &#x27;NU&#x27;, &#x27;NU&#x27;, ..., &#x27;NU&#x27;, &#x27;NU&#x27;, &#x27;NU&#x27;],\n",
       "        [&#x27;NU&#x27;, &#x27;NU&#x27;, &#x27;NU&#x27;, ..., &#x27;NU&#x27;, &#x27;NU&#x27;, &#x27;NU&#x27;],\n",
       "        [&#x27;NU&#x27;, &#x27;NU&#x27;, &#x27;NU&#x27;, ..., &#x27;NU&#x27;, &#x27;NU&#x27;, &#x27;NU&#x27;],\n",
       "        ...,\n",
       "        [&#x27;NU&#x27;, &#x27;NU&#x27;, &#x27;NU&#x27;, ..., &#x27;NU&#x27;, &#x27;NU&#x27;, &#x27;NU&#x27;],\n",
       "        [&#x27;NU&#x27;, &#x27;NU&#x27;, &#x27;NU&#x27;, ..., &#x27;NU&#x27;, &#x27;NU&#x27;, &#x27;NU&#x27;],\n",
       "        [&#x27;NU&#x27;, &#x27;NU&#x27;, &#x27;NU&#x27;, ..., &#x27;NU&#x27;, &#x27;NU&#x27;, &#x27;NU&#x27;]],\n",
       "\n",
       "       [[&#x27;NU&#x27;, &#x27;NU&#x27;, &#x27;NU&#x27;, ..., &#x27;NU&#x27;, &#x27;NU&#x27;, &#x27;NU&#x27;],\n",
       "        [&#x27;NU&#x27;, &#x27;NU&#x27;, &#x27;NU&#x27;, ..., &#x27;NU&#x27;, &#x27;NU&#x27;, &#x27;NU&#x27;],\n",
       "        [&#x27;NU&#x27;, &#x27;NU&#x27;, &#x27;NU&#x27;, ..., &#x27;NU&#x27;, &#x27;NU&#x27;, &#x27;NU&#x27;],\n",
       "        ...,\n",
       "        [&#x27;NU&#x27;, &#x27;NU&#x27;, &#x27;NU&#x27;, ..., &#x27;NU&#x27;, &#x27;NU&#x27;, &#x27;NU&#x27;],\n",
       "        [&#x27;NU&#x27;, &#x27;NU&#x27;, &#x27;NU&#x27;, ..., &#x27;NU&#x27;, &#x27;NU&#x27;, &#x27;NU&#x27;],\n",
       "        [&#x27;NU&#x27;, &#x27;NU&#x27;, &#x27;NU&#x27;, ..., &#x27;NU&#x27;, &#x27;NU&#x27;, &#x27;NU&#x27;]]], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>unit_mask</span></div><div class='xr-var-dims'>(unit, z, x, y)</div><div class='xr-var-dtype'>bool</div><div class='xr-var-preview xr-preview'>False False False ... False False</div><input id='attrs-be3b5e60-f48d-4999-b95e-2bb864f43622' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-be3b5e60-f48d-4999-b95e-2bb864f43622' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c94f286-81ba-4cef-b87f-a8ebaf00ef6d' class='xr-var-data-in' type='checkbox'><label for='data-4c94f286-81ba-4cef-b87f-a8ebaf00ef6d' 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([[[[False, False, False, ..., False, False, False],\n",
       "         [False, False, False, ..., False, False, False],\n",
       "         [False, False, False, ..., False, False, False],\n",
       "         ...,\n",
       "         [False, False, False, ..., False, False, False],\n",
       "         [False, False, False, ..., False, False, False],\n",
       "         [False, False, False, ..., False, False, False]],\n",
       "\n",
       "        [[False, False, False, ..., False, False, False],\n",
       "         [False, False, False, ..., False, False, False],\n",
       "         [False, False, False, ..., False, False, False],\n",
       "         ...,\n",
       "         [False, False, False, ..., False, False, False],\n",
       "         [False, False, False, ..., False, False, False],\n",
       "         [False, False, False, ..., False, False, False]],\n",
       "\n",
       "        [[False, False, False, ..., False, False, False],\n",
       "         [False, False, False, ..., False, False, False],\n",
       "         [False, False, False, ..., False, False, False],\n",
       "         ...,\n",
       "...\n",
       "         ...,\n",
       "         [False, False, False, ..., False, False, False],\n",
       "         [False, False, False, ..., False, False, False],\n",
       "         [False, False, False, ..., False, False, False]],\n",
       "\n",
       "        [[False, False, False, ..., False, False, False],\n",
       "         [False, False, False, ..., False, False, False],\n",
       "         [False, False, False, ..., False, False, False],\n",
       "         ...,\n",
       "         [False, False, False, ..., False, False, False],\n",
       "         [False, False, False, ..., False, False, False],\n",
       "         [False, False, False, ..., False, False, False]],\n",
       "\n",
       "        [[False, False, False, ..., False, False, False],\n",
       "         [False, False, False, ..., False, False, False],\n",
       "         [False, False, False, ..., False, False, False],\n",
       "         ...,\n",
       "         [False, False, False, ..., False, False, False],\n",
       "         [False, False, False, ..., False, False, False],\n",
       "         [False, False, False, ..., False, False, False]]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Vinst</span></div><div class='xr-var-dims'>(x, y, z)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.193e+03 5.18e+03 ... 1.702e+03</div><input id='attrs-c4ce1184-f058-4d47-96da-08d5659467ed' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c4ce1184-f058-4d47-96da-08d5659467ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc7a6f76-efe5-4704-9e59-f01668c0b22f' class='xr-var-data-in' type='checkbox'><label for='data-cc7a6f76-efe5-4704-9e59-f01668c0b22f' 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([[[5193.13897394, 5180.08897394, 5167.03897394, ...,\n",
       "         1774.06881653, 1752.26881653, 1730.46881653],\n",
       "        [5193.34792606, 5180.29792606, 5167.24792606, ...,\n",
       "         1774.0664993 , 1752.2664993 , 1730.4664993 ],\n",
       "        [5193.55664904, 5180.50664904, 5167.45664904, ...,\n",
       "         1774.06478605, 1752.26478605, 1730.46478605],\n",
       "        ...,\n",
       "        [5057.05458989, 5044.00458989, 5030.95458989, ...,\n",
       "         1773.83988085, 1752.03988085, 1730.23988085],\n",
       "        [5056.38637145, 5043.33637145, 5030.28637145, ...,\n",
       "         1773.6072885 , 1751.8072885 , 1730.0072885 ],\n",
       "        [5055.72000218, 5042.67000218, 5029.62000218, ...,\n",
       "         1773.37418754, 1751.57418754, 1729.77418754]],\n",
       "\n",
       "       [[5194.31934674, 5181.26934674, 5168.21934674, ...,\n",
       "         1773.56134022, 1751.76134022, 1729.96134022],\n",
       "        [5194.52830835, 5181.47830835, 5168.42830835, ...,\n",
       "         1773.55675569, 1751.75675569, 1729.95675569],\n",
       "        [5194.73707392, 5181.68707392, 5168.63707392, ...,\n",
       "         1773.55138506, 1751.75138506, 1729.95138506],\n",
       "...\n",
       "        [5221.60706819, 5208.55706819, 5195.50706819, ...,\n",
       "         1746.71238146, 1724.91238146, 1703.11238146],\n",
       "        [5219.85570504, 5206.80570504, 5193.75570504, ...,\n",
       "         1746.45157234, 1724.65157234, 1702.85157234],\n",
       "        [5218.10364925, 5205.05364925, 5192.00364925, ...,\n",
       "         1746.19090379, 1724.39090379, 1702.59090379]],\n",
       "\n",
       "       [[5400.14320837, 5387.09320837, 5374.04320837, ...,\n",
       "         1745.12577089, 1723.32577089, 1701.52577089],\n",
       "        [5400.83300483, 5387.78300483, 5374.73300483, ...,\n",
       "         1744.92017023, 1723.12017023, 1701.32017023],\n",
       "        [5401.5228897 , 5388.4728897 , 5375.4228897 , ...,\n",
       "         1744.71366489, 1722.91366489, 1701.11366489],\n",
       "        ...,\n",
       "        [5220.90185063, 5207.85185063, 5194.80185063, ...,\n",
       "         1746.31296356, 1724.51296356, 1702.71296356],\n",
       "        [5219.16094648, 5206.11094648, 5193.06094648, ...,\n",
       "         1746.05003347, 1724.25003347, 1702.45003347],\n",
       "        [5217.41934968, 5204.36934968, 5191.31934968, ...,\n",
       "         1745.78724396, 1723.98724396, 1702.18724396]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4fe698c3-39c9-4d57-87a6-6aba69eca69a' class='xr-section-summary-in' type='checkbox'  ><label for='section-4fe698c3-39c9-4d57-87a6-6aba69eca69a' class='xr-section-summary' >Indexes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>unit</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ced5b951-39b0-42ab-9d80-f44f845b93c0' class='xr-index-data-in' type='checkbox'/><label for='index-ced5b951-39b0-42ab-9d80-f44f845b93c0' 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([&#x27;NU&#x27;, &#x27;NLNM&#x27;, &#x27;CK&#x27;, &#x27;KN&#x27;, &#x27;S&#x27;, &#x27;AT&#x27;, &#x27;RN&#x27;, &#x27;RB&#x27;, &#x27;ZE&#x27;, &#x27;RO&#x27;, &#x27;DC&#x27;], dtype=&#x27;object&#x27;, name=&#x27;unit&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d53e3eab-4124-4a96-9be7-38bb1e941ac8' class='xr-index-data-in' type='checkbox'/><label for='index-d53e3eab-4124-4a96-9be7-38bb1e941ac8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([100000.0, 100050.0, 100100.0, 100150.0, 100200.0, 100250.0,\n",
       "              100300.0, 100350.0, 100400.0, 100450.0,\n",
       "              ...\n",
       "              111550.0, 111600.0, 111650.0, 111700.0, 111750.0, 111800.0,\n",
       "              111850.0, 111900.0, 111950.0, 112000.0],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=241))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a370d2ad-2fa0-4253-a4c9-f3292c2a080f' class='xr-index-data-in' type='checkbox'/><label for='index-a370d2ad-2fa0-4253-a4c9-f3292c2a080f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([500000.0, 500050.0, 500100.0, 500150.0, 500200.0, 500250.0,\n",
       "              500300.0, 500350.0, 500400.0, 500450.0,\n",
       "              ...\n",
       "              511550.0, 511600.0, 511650.0, 511700.0, 511750.0, 511800.0,\n",
       "              511850.0, 511900.0, 511950.0, 512000.0],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=241))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>z</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ab738d6d-e4b5-44dc-ab7b-941eadfc137d' class='xr-index-data-in' type='checkbox'/><label for='index-ab738d6d-e4b5-44dc-ab7b-941eadfc137d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([-6000.0, -5950.0, -5900.0, -5850.0, -5800.0, -5750.0, -5700.0,\n",
       "              -5650.0, -5600.0, -5550.0,\n",
       "              ...\n",
       "               -450.0,  -400.0,  -350.0,  -300.0,  -250.0,  -200.0,  -150.0,\n",
       "               -100.0,   -50.0,     0.0],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;z&#x27;, length=121))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ebe5a2ea-0427-447c-a7db-4170ea76a27a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ebe5a2ea-0427-447c-a7db-4170ea76a27a' 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:       (unit: 11, x: 241, y: 241, z: 121)\n",
       "Coordinates:\n",
       "  * unit          (unit) object 'NU' 'NLNM' 'CK' 'KN' ... 'RB' 'ZE' 'RO' 'DC'\n",
       "  * x             (x) float64 1e+05 1e+05 1.001e+05 ... 1.12e+05 1.12e+05\n",
       "  * y             (y) float64 5e+05 5e+05 5.001e+05 ... 5.12e+05 5.12e+05\n",
       "  * z             (z) float64 -6e+03 -5.95e+03 -5.9e+03 ... -100.0 -50.0 0.0\n",
       "    spatial_ref   int64 0\n",
       "Data variables:\n",
       "    V0            (x, y, unit) float64 1.73e+03 1.822e+03 ... 3.651e+03\n",
       "    V0_sd         (x, y, unit) float64 65.34 75.32 184.5 ... 201.3 189.1 188.7\n",
       "    k             (unit) float64 0.436 0.235 0.889 0.536 ... 0.0 0.309 0.261\n",
       "    depth         (x, y, unit) float64 -902.7 -1.002e+03 ... -2.701e+03 -inf\n",
       "    ordering      (unit) int32 1 2 5 6 10 15 17 18 19 20 22\n",
       "    unit_samples  (z, x, y) object 'DC' 'DC' 'DC' 'DC' ... 'NU' 'NU' 'NU' 'NU'\n",
       "    unit_mask     (unit, z, x, y) bool False False False ... False False False\n",
       "    Vinst         (x, y, z) float64 5.193e+03 5.18e+03 ... 1.724e+03 1.702e+03"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dgm_velmod_cube"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot just some slices"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.plot.facetgrid.FacetGrid at 0x7ffb0f5d3510>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 1300x900 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dgm_velmod_cube[\"V0\"]\\\n",
    "    .isel({\"y\":100})\\\n",
    "    .plot(x=\"x\", col=\"unit\", col_wrap=4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.plot.facetgrid.FacetGrid at 0x7f91fa127fd0>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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IATTOCaJ1Q2OcIAge/GDwQ9vi1DtGRELGqArJyckYOHAg1q1bh+9+97vy++vWrcO3v/1t7nqkBA8kKcGOLrZOWuuqaSwxqzw6hNnhITEfcFlsX8wiJSTQOHeYVquwuJEYqT5tbozrbaMg5c0ycT9nxMM9YHArkMTi9ztpZj4068R/bW5F26KcgIxRDSoqKjB+/HgUFxejpKQEf/jDH3D06FFMmjSJvxKPBLjB/cANfSBiQ4KLv3srgbxd9CMmeaS4dDOyTDw8HLmZeH84tps2N8bbwIJWa54zaDzD8D3MogcBciukjIqFjFENHnjgAZw9exa/+tWvcOrUKRQVFWHNmjXo3r17rLtGEARBEARBEEQM8IPBR8aoMMgY1WHy5MmYPHmy6fPJfc8kbVFlEk0rTx8sMReNqwSPeX9jwho0VziCFIMcgG1mjJvdSkFKnHHieL6IxRg0AvObcUuN3++DlFGxkDFKEARBEARBEATBQTNjUfaMkjFqBDJG7URyyZ5RAHD5qhrRBjG1khrEJeMKcNc4dxi3r9bHBW303omOi66LnWPczfv6baLVzhtteCxLCcY9B1zl/WAQXxQ3Xb1jRCRkjBIEQRAEQRAEQXDgY/q5RCnPqDHIGLWThATaS2YW2g9jHJencYnAxEqqjItWVGlvuAtorUqL23BS+WnNY9wOF742rMoZIp7nCrd+x2bvZxa/34X/ykvvOMEPGaN2IkmuMqqk1hxWnYirzADMag4uv3vGFTye1p2ygAe3PiTFEy76rXAFNMZbN611zmiT49jkZ/bH75i6zCQ066Sfuuyi1FTxABmjBEEQBEEQBEEQHPggwadjhOsdIyIhY9RGpIQESJ44kqvcSmtdQRVJnEVukyzKuK5yi/V44tv1qxVAXh8O44D602rHuJPbKdqkSheduJ4v3PadWrif4/l7IGNULGSMEgRBEARBEARBcOBnEvw6rrh6x4hIyBi1E7emfHBjnwhrxMt3KkrBddHnlSRPXK/wCsNtK/bxiovu7ZjiousgdIy7SPB1Ba1x3nDRvWs7VlITxfHvJimjYiFj1E4SEgBy0xVHW5rgeYgz11yhuMqFLyRQGd2jsYWuv7PY6Z7upjGeIMBNN1bzNY0JdeL5urhlW4ilXOGI6+/gMktAs040YApgZAwyRgmCIAiCIAiCIDggZVQsZIzaiVvddIO4uW9EdOLt+xOpDLjps1MAoxboOojDTfd4LHDT5xfxW+6mz+M2WuO80Ra+byu5wgF3eT8YxMc88Okoo7427LhmhlY4AxAEQRAEQRAEQYjHDwl+eHRexhYjZs+eDUmSFK/c3Fz5OGMMs2fPRn5+PlJSUjBkyBDs3btXUUdjYyN+/vOfIzs7G6mpqRgzZgyOHz+uKFNXV4fx48cjIyMDGRkZGD9+PM6fP2/6OoiClFE78Uitc8Uv1rTGgAe8OJkWQDRCV4pddA9YUUbbwuq509A1dR5brrmLvkez8R/ctK+fxkUk8XxNYt13Efd2HF/+JpaAJKY9JzSZuDz9+vXDe++9J/+dEKI8/+Y3v8HChQuxbNky9OrVC3PnzsXw4cNx4MABpKWlAQAeffRRrFq1CitXrkTHjh0xbdo03HPPPaiqqpLrGjt2LI4fP461a9cCAH72s59h/PjxWLVqlfEOC4SMUYIgCIIgCIIgCA4CyqhOahcTlnZiYqJCDQ3CGMOiRYvwxBNP4N577wUAvP7668jJycEbb7yBiRMnor6+HkuWLMF///d/48477wQALF++HAUFBXjvvfcwcuRI7N+/H2vXrsXmzZsxaNAgAMCrr76KkpISHDhwAL179zbcZ1GQMWonoVE23UqsV9cIY1gJox5LhCsELroO5AERCc0r4nD7b4htuOhzSzB3T9M44Kc1XqtWPXYFfLY4Tu3ihwc+nZ2Ofhh/5jl06BDy8/Ph9XoxaNAgzJ8/H1dffTWqq6tRU1ODESNGyGW9Xi9KS0uxceNGTJw4EVVVVWhublaUyc/PR1FRETZu3IiRI0di06ZNyMjIkA1RALjllluQkZGBjRs3kjHaavFQahfbaNWTvAZx7aIrukIXjSs7ApW1xftbNK3x4TYeEPaA6aIxbjS1i5vnappblMTzPBErY45ZTOkSJI6vffQARoE5oKGhQfG+1+uF1+uNKD9o0CD86U9/Qq9evXD69GnMnTsXgwcPxt69e1FTUwMAyMnJUZyTk5ODI0eOAABqamqQnJyMzMzMiDLB82tqatC5c+eItjt37iyXiRVkjBIEQRAEQRAEQXDQzBLQrLNntPnKelRBQYHi/VmzZmH27NkR5e+66y753/3790dJSQmuueYavP7667jlllsAAFKY8c4Yi3gvnPAyauV56rEbMkbtJB7cdIG4Xp1qU7jRRbexyZ56k5OiFHDRtTCqmrQV4tgFy5W45bck6pj3iWnH3yymHhEY9X5w41wdL7S2ecMt45aXS438Za1uv/FftnZ+DPFFcdP1XXHTPXbsGNLT0+X31VRRNVJTU9G/f38cOnQI3/nOdwAElM28vDy5TG1trayW5ubmoqmpCXV1dQp1tLa2FoMHD5bLnD59OqKtL774IkJ1dZpWNuoJgiAIgiAIgiDswc88UV8AkJ6ernjxGqONjY3Yv38/8vLyUFhYiNzcXKxbt04+3tTUhPXr18uG5sCBA5GUlKQoc+rUKezZs0cuU1JSgvr6emzdulUus2XLFtTX18tlYgUpo3YikWLiGG5VdxsNrDLGI3at+l6OsmLqphVVnx+QXLxHzCkSXfpzEpwbml2ktJnByDYtO/csOjXXumlOZ8xdaVqsEIxjEW+KnUii/b4IbStG943Z+zXauAut101j1GF4lVFepk+fjm9961vo1q0bamtrMXfuXDQ0NGDChAmQJAmPPvoo5s+fj549e6Jnz56YP38+2rdvj7FjxwIAMjIy8NBDD2HatGno2LEjsrKyMH36dPTv31+OrtunTx+MGjUK5eXleOWVVwAEUrvcc889MQ1eBJAxai92BDaxEyd/nIy4gsQznN9/3a1d5X8nXvQjbcdJu3rUOnDTuIrVQ52brgEA+Ey4ZyZFc8c2gZbR6bbrFcQOIyfeDQ03BwCKhlvvsyDB4DOCvKnjEju+I61x7MRYVBsvoj5j+OeyWm8rMWYvw6O7Z/SyQWP0+PHj+MEPfoAzZ86gU6dOuOWWW7B582Z0794dAPD444/j4sWLmDx5Murq6jBo0CBUVlbKOUYB4LnnnkNiYiLuv/9+XLx4EcOGDcOyZcsU+UpXrFiBqVOnylF3x4wZgxdeeMFQX+2AjFGCIAiCIAiCIAgOokfTNeYVuXLlSt3jkiRh9uzZqsGPgrRr1w6LFy/G4sWLNctkZWVh+fLlhvrmBHFjjM6bNw+rV6/Grl27kJycjPPnz0eUOXr0KB5++GF88MEHSElJwdixY7FgwQIkJyfLZXbv3o0pU6Zg69atyMrKwsSJE/Hkk08qIkmtX78eFRUV2Lt3L/Lz8/H4449j0qRJxjud4Am8nOCShUAyosJ0RyM0MEFrC1JwhbO35Wse4/LkZEBzew8airuI65QZONSaqJ/HgrgRre7LzZeAo+brF8mZIV2RkNyO/4Qrn01igX9LDPBzZLEw4gmc/eFx/sKxxCHX2fO3KMeTpDblRbm+etffl6x9jOd8XayMIytTu1kvPyuiZsi8c7n5EnDCQl0COXs75xi385rplOE5P+tj8raxRLTnJCdUPifUVz/DmWHd5D9TzvrU7y8t7wU1kVaj6OXmi8Ap4110A35I8OsEUtQ7RkQSN8ZoU1MTvv/976OkpARLliyJOO7z+TB69Gh06tQJH3/8Mc6ePYsJEyaAMSavEjQ0NGD48OEYOnQotm3bhoMHD6KsrAypqamYNm0aAKC6uhp33303ysvLsXz5cnzyySeYPHkyOnXqhPvuu8/Rz0wQBEEQBEEQhHsQrYy2deLGGJ0zZw4AYNmyZarHKysrsW/fPhw7dgz5+QF16tlnn0VZWRnmzZuH9PR0rFixApcuXcKyZcvg9XpRVFSEgwcPYuHChaioqIAkSXj55ZfRrVs3LFq0CEBgw+/27duxYMEC48ZoY1N87N1xqUp57psaKmPoloPgv6+sGLb8Hfhfc6pkaLXa6gq1Xl1M7VYIrysYa6V94B+JlxzcOxXaVJRVXolpfB5Ffcb6Hnq9otXtpnmeeSQwnnEe/HyS8s8gUpTrFf16t/zzizu6apfTwJqiZb6tjhvEKjbh3gkSAyQfU/ytutUn7DP4E43P3XrXUPf70/vudc6L9p3pbGm6UiDKca12dUQiI/dpZMUtJ3ONKYdgHo7PBZj+roz8NqjVF3G+Slt6XjtGiXpfafQj+1/iZLCztwZSXHCr/8FrZNIDQu07kvxhzx2qJ2q0E9ZvX7K1+z3r4+jeMKGxKfRICHFYaUpPwGWNALDtv1BuPNZSULXubxbHe0ajBzBy0UNKHNBqrtamTZtQVFQkG6IAMHLkSDQ2NqKqqkouU1paqgitPHLkSJw8eRKHDx+WywQ39oaW2b59O5o1XMoaGxvR0NCgeBEE0bqgcU4QrRsa4wRB8HCZJaBZ53WZe8WGAOJIGY1GTU1NRNLWzMxMJCcno6amRi7To0cPRZngOTU1NSgsLFStJycnB5cvX8aZM2cUCWeDPP3007Jyq8AjxYcyqsIXpZGfEzCpnnCcE21VMHq7IedHWVFuqTOyUp4VZrX61Ppnpq7wei6nqDQWUiah2aS0YXEfmr7KEywY/d43ooYqmojBuNIa58yjVGo1V+qjqb1RQ+rrH45Wv0jllbdtHpXhzJD86PVHIZrqpHm/mGjTlPoZ9bvTvvim1VYguneCWSVP7zlL1B7XGPx0ao5xic/7QW+Mcc2ZisrC69aoj/M3Sq8uo5jdi3z2m+rPFQBM3zc8XjKKzxt1HjbQdkKgsBtiP5+7zbg3DC8JGiFJGjMS4NNTTRmABPULKjEA/vh8PgagyCWqdZzgJ6bG6OzZs9WNuBC2bduG4uJirvoklR90xpji/fAyLOjeabBMKDNmzEBFRYX8d0NDAwoKClA7JC8y6IENs5ZdBqKyjcAJWhO1dWMyBB7DTqNcoDG+tiMe/rkNTw4jVq0+DiPWaD2XvZJqPapYCNASXofHp3VRo1cR+iBj5Idf0UwM5nmtcR6Oqb7xXHuLD5h2GrtaD+HRjLMzg6Lnl+i0OfoKs+EH/SAGjWjTbVlxtTX72QAud3tz7fK5FZ8a6pfbyf3IY8it2Km4eqFojXHmAZdxrDvGDN6H4WNK8X3oGFc887jZeVe1fVEY6JPRZx7LnzdeEfU96cyTeobq5XbKbVLyPc2A9md8rtpuYxQfJPh0blq9Y0QkMTVGp0yZggcffFC3TLiSqUVubi62bNmieK+urg7Nzc2y0pmbmyurpEFqa2sBIGqZxMREdOzYUbVtr9ercP0lCKL1QeOcIFo3NMYJguCBlFGxxNQYzc7ORnZ2tpC6SkpKMG/ePJw6dUp2pa2srITX68XAgQPlMjNnzkRTU5Oc7qWyshL5+fmy0VtSUoJVq1Yp6q6srERxcTGSjCZolxC5oiRysSS4yGSkzrAgKtHwJwfPMeZyGdGsBWVTs27OOrld57jdbzkUVZX6RLkFi3AJtlqHzyMZTu0SVFMtbaUI3vNumufVxrmZOqJhRUHjON+aeqfvTn725svcbQXqa/l37eBI9TRCLXWD+ul0Wzrt8bTL0/bpOy7zxyGL8hmDKqkeof31X/QDf+ds224kzjnHxL0BcPzO6PxW6SqoaohQy2wQfYyonYaVTjf40cYCQd+TkaBOLQeBhEbtC3/pqgT4muJ3X2Uz8yBB52GmORauHXGMmx7pdDl69Ch27dqFo0ePwufzYdeuXdi1axe+/PJLAMCIESPQt29fjB8/Hjt37sT777+P6dOno7y8HOnp6QCAsWPHwuv1oqysDHv27MHbb7+N+fPny5F0AWDSpEk4cuQIKioqsH//frz22mtYsmQJpk+fHrPPThAEQRAEQRBE7AmmdtF7EfzETQCjp556Cq+//rr890033QQA+PDDDzFkyBAkJCRg9erVmDx5Mm699VakpKRg7NixWLBggXxORkYG1q1bh4cffhjFxcXIzMxERUWFYo9IYWEh1qxZg8ceewwvvvgi8vPz8fzzz5vKMRoe2EQYBtVNoGVlS2uzeUTdipO161OcajR4hwEVgVtZ5VVV1cqabdesospdF8fKd5R6rO5N5aojyvl+C3sWI9p2UeADIePcgT2jUeeLkPPP3aSxlzNaI1aDg/DIIxLwxeCA0pq9KSlqu4b3swJCFS6n2wpSO1Q9+ruh9hG27VTvg1w5pKmkBjscTSW+0oar9vnxej+Y/J6jzsc6czG3p45GXUaJFgjNLKY8vHhx073kEFaDVIViKjAbz/NdHH8vDBL8Oh+AxfOHiwFxY4wuW7ZMM8dokG7duuHdd9/VLdO/f39s2LBBt0xpaSl27NhhtIsRCDVGQ92XksVUKdz11arbrdG6RRvJZt2Dzbq8qtRl2i1Yx22Luz+CjU+R50ec66J5nkkCHpytGppo6UNdf52gQHrt6DVit5HJcf3U1jLODm5Gx0362yc0g8qYepDS/xwiH9oC7Wkf4zY2oxFsn2tBJHRQahSR69O6iFcO6xmtDHw3vUNw/ZabNAK5Fkv15lKO37GobRnAltyQNhqXdhnPbkfYYo6NC3PxLB5GUz9JGTVG3BijBEEQBEEQBEEQsaSZJcBDe0aFQcaojTDeoAfh510JIy9yPU9VbDSp3gEGVFWNeq269Bpyh7OkSnLUx3N9RCrOURVIm9yBHVRCI87ncTOOEVY9IMykYjjfT8uN1kQjOtfSbsWTS2SJ0sbZwU3I2qzhLiJ8VV/vYpltS/vEL4Zo5E0w2j4PkuYf+uVNuuXqKqgSILlIWDjfzwdPSuSYu2p3yMOoSUWS67dQb67k/R3Xa4sHOwVGQ0qnsaptUXJdyPlhXxs+56r32kcvZHLu4rmv3fQ7bhQ/k+DX+QB6x4hIyBglCIIgCIIgCILgwA8P/DoxYPWOEZGQMWojPIqJ5EdABQ0uogQVUcGLKqrrV5x7TbhUVc1G1CvgDiqkUa8hZdXK3lITeytV6zJZT0Q5G9uKujc1og4HldTwrrltnrcwXrkWUBlQr6WGAto3j1nVkzOQkOYhAYqnkYAx5wYHFMSsTcmqx1WxqlZp9EX1kG5bgRPP3X7JSJWG2gcAZjZCDNdeSL0PH6UeLQXVRXtGITHV/py/PiRlEce+6sxPVR65OOZ9I14jtu0ZtUvoMax02lt/PNAw7CsAynk2/CeRZ6ts/fCvFH+nv58aUYZn7lI/qPG+Ys9o/KqHPibBp3Mz6h0jIiFjlCAIgiAIgiAIggNy0xULGaM2Eh5lM/hPT3PLvlBZFQ1XRCW+FUDdiKMqZZQHwjusXoxLVVWrT+dtO5RN7cY42xelgqrVxfEZnNyfasveVBuVVK7PGCPs2DNa38enfVBxsk6/zOwfjVInEEX1FKh2aqPdxrmSRgBA5hZvtKLa85VJ9dOI0lp3W6QKajeS5kbYaCdeKcabn0Z3bo6ioOrthYwlV36jw+F63gy57nU3hkVANuldcFVVSARpXg8bRO9v3aDGsMq0y2reT1HOu+qTdtxlVau2MfKum/ly2Jfyv3l+biJ+njlu1gt3tiilaVdUUlNeIkDU+bVuyEX4v74E/Clqt1zJ5SgBjC5TACNDkDFqJyE/YAmNkA1MOUBRqBEaUp5p/PCpwfNjaCW1CaAx+Rtw0+U2ZjXqdcyYFWXEAWgYZPxhM2Nzu8g3nXQJtuoObKPxGt62q9x0DYxXNYKfreE6fpe/0PMi+2PuITGqa62F1C981ye6Idspu0H10Bdn0gNFrvTxfIn2+AuOMztzgtZ/86JOQZc9H3MZm2HGB8d1UK8vSh1SyD9cdJEUC8u81pCVsabXjgScv1klsJVmnWbnA+Ou/7oG6pVz62/THhu8c1D6Bo7AO0CrcdH9KsQQNQv3+L3Cl3cG2gwfx2kfXHHljfZdhbRRPyTyO4+2NuV2/Exf/fS3knvPKcgYJQiCIAiCIAiC4MDPPPDrrIrrHSMiIWPURhKagAQgoHYG3XJD/tZTRKOqo0ZcyThVSG6lwIiLrFa9BpRNK8qqZjMC3XQhARe+cTH8LfV2dVbS6nXUHCCg6NjmEizCHdhCG1EDKkVTWWNIuDt+NC6EKqBh9UTFghus5iWz4lprwaU22vmdO6mroLxlvzibplq2YbC+aqmLg7cdzy3OE6SEvz2NQEKqhUP7oN7RYH3pGfwpJ0Lr8nkbdUo6jMQAD//FtsWV3YzyqXOeUeWTR/XUPGTF60Kl7QulX6mUCfw/dX1IEB73/Eyoovexvx52oaWc8IaVf+o9l4TPC6Huwlrnhc9Lkvy+srxkYEy5DT8k+HW+Gb1jRCRkjBIEQRAEQRAEQXDQ7E+A5NfeM9qsc4yIhIxRO1FTREP3iYYqomHHxezB0ikrMKiP/LaRPVhG9oxaUFY1191495aGnxb2xpc3G1NZTAcRAdBQot1W2uaUljZs2O8ZUYcZFVmnD1HvkfDjblp0jDJeGzSUUGUdHDdAlM9sWPm0PMdYDYSkPD+3c320BiN7oLOin3Nlf2nt2TRT94tw8d2GVCVcfTQa1VGherb8O/OqSDWqpRxfG9EiTAbvCcY4lDgHkTzW1T1r403g/k0zyqdZ1VOnzmjfL+/4C6/n6yE6+yvD6mz/UQe+RmwidDhcGnpBcczo9BN6HYylcQo7V7OQirKp4U0hqZQNLR+cV9w0xo3iR5Rouq56SHE/ZIzaSKhhqXDBBQCPhhGq9ndExZwdkH0jdI6FvmU1UJFFo1OrD1bqFRVJ+GsNo1PYdKNSkREXvAtqhqrBeT7aD1jGppAAS4JdgY0GVHLTdgy1aLoXejerFw6H4wYy/RBsl3utQSNT7/z8zuejdSRKXdFv8rxOASO35myGkPp4cNVDVlhfstL53WYBznkorA2tB7EEleuiOu9IMOQWazsaeUYDx6KdG61yZwIMCTc2TRqa0eYzrrFj4IdXr76LYQagieq524p6rsC6w8saMU61XGpD643oiZahqnWLXinvot02hmFR3HQZGaOGIGOUIAiCIAiCIAiCA8ozKhYyRu0kzE03wjVXTxG1pGpwlHfKTdegumulD9yqqlqdoe4yN6sER9CoRlGl4MknYtVQkLuddnv6AUxCA79wf1YWkrJGR7U2HFDJRfM8k4AL13EqoeB0P7OiDjitxHC2K0lMUwn1hCtrNvyQ52UH2j4VppBaVTHdsrqfnWE8/QPXONYoovcdJajcY5pzUMj1D1Ua3KQud86pR2JqS4C5mtNXcZwl1o2d5zxz52gdMK58WlY9Raim0asxXa+o8yLrEVKNTv2hLrzGzlGdI3RU0/T2gXFS/3W7lmdfrfIuGuNGuRxlz+hl2jNqCDJGCYIgCIIgCIIgOKBoumIhY9RG1IIVBd/XCmyk+reiUoOdkDTOceGeUcv7O02231T8ldYhQ+itkgpJwWBlH4i8EYRfCdHrM3cCbalFUdXsr875Wuf4LzYCr+m06yBf92qGR4qyCsq7AsylmuodtEH15FAruuWc0y9kkHClFADu71oFAEiAHwmSP1DuyudNkPzwwC/vSUxA4PiLR4ZE1NMlqJCe49hDGkZM1ToJ6JyhvscNMOmZofF5eJTp8P2fUdsPOaxVv1JRdY9qkuDxI8Hjl//Oy63TLX8qinJqfv+m/cpnaBu5WfzplezmTEP0YENW9lXyn2fqNAVq85tdZLQ3nsoq2ljWmx+C52amRrYbfp4PLkrfZBBy0xULGaMEQRAEQRAEQRAckDEqFjJGbYSFKZwR+0SjKKKq97KZ+9vK/ko79ozasF/UTPvNxV/qVScUvdVUs3tNIyPm8ZwUundEv11Fn/XKciipgfo0outF21cCqISOd49qYinSpqGy5vZbBa9Vj/wzBjrjDsbk7UaSxJEaR4NJ3TfAxyS8duzWiGNdO7aoWyfOXaVegU2TQ7T7N0dHAdWuVL9OIw9H3FFvo7SvqYBy1O930RiXJKb4zqKpwl1y67jnqBOnM+U2tDug1S+dilXqC3oFxAuekDkvN4Nfpa29oK6imlE1RaiYTvxeZbXnj5Id1YU0yh7+4P2vHgmbqZ6jdp6bxrhRLvs9kPzaYf0v6xwjIiFj1E7CDE5FKhcdN13NIEYCx23UgDFBDLjTxpMxe3mg8WAfdqH6Q2Xiuw7/oY1ubBoIaqD346PWvlY5HcNVN4CSjsEac8LHqqEuWghUFDwsMVzd5Qsjjco46S7Gw/DO/wPPFRdctSA4ZhnfdQv8kPDnEzerHi+4YpgeO5cpLigJR5m8q+pN1290LOh911z7m/TO5zQ6w/t8dfpZzf40JzWhKnqvHCFR8iNR8mtfJwv3TEGuvou7x0Xuynq4aYEwJ117MefMl3y5RS2labHpWgR/Yzu21875y+Vir3FPac0poXOHYgyEvq9hsKrWe+WYz0X3jFEY9OfN+P1ksYGMUYIgCIIgCIIgCA7ITVcsZIzaCPNceYUooHpuuuGKaMS9bPLe9vf5Cp79qcqqwpdttOrmdefVKOs2ZdU34IL8ttmpoiBLP3hFOEfPZRpvRKVzRpWQaKlalGX52mkJ9x6tQn0lVZJgST110yq8rpuu5jkcRcLq7FVw2lgbccSwTgcs1/F/1t8X8d7TQ/6u+Pv+/Cq8VXNTRLngg0P3juoq1TGOMax1T+ZbUD/1GxTolmtQKQknqJx0SvkqQoENKt2h5eKNUXn7kNohEKQsSbqMN08G7iFRWyxiSbx+J2rwfJbc9OjuvrWc6ikgJqBREK3+6ymhvHVwzQccKbaCc0X4va+pnobVG1pnaFCweIOMUbGQMUoQBEEQBEEQBMEBGaNiIWPURhoHfIWU/e2UKigQsWdUVRE1eR+zPpF7ISUArK/y/dD1L2l/B+49o7oLj5zKpmPKami5AYHVULNbynuEKSZGJprwcwHgyNksw31Q7PE0dGLLP3lW8jUDDSnK8NWnq6RaUE8lN8UG4Byv0dSQ67rViOlPHHF79qGoe0N/u3FU9IoYVCeGGVfU0lm3vSO/d2/uTvjgwarT18vvRVNUCrNb9jba+ZAhsu5onynY1jVpZ2UlwxcMLMI8cpngMb/KMSCggsTLvkZRfL/LDgCRaYZWnPiG432JN2XTrv6O6rwvZL+5thofegwAfPDI97IPHqw5XYTcNP0AYl98xa+c6qH2m5BtQAU1gtp1jzbfeDQUTQCAxNA343RYeXWl89NzXSLq9EOKu3s3FF+UAEY+CmBkiLgwRg8fPoz/+q//wgcffICamhrk5+fjhz/8IZ544gkkJyfL5Y4ePYqHH34YH3zwAVJSUjB27FgsWLBAUWb37t2YMmUKtm7diqysLEycOBFPPvkkpBBfi/Xr16OiogJ79+5Ffn4+Hn/8cUyaNMlwvyUJgI6bbjQjlOu5RMX4NEy/kIl3b5puUUOGJGDImBRuzF4p57nJvJtcYZa6217UB70o1know20ohzmN1Ai7m/MhVjYODTTA47YbrVI949WUweqiH7HwSJvh9O12yrG+uP3H/ZasagDaDy0A8MKWOxR/87jBRfvUcz4eAwCYeetq+b3RnXfjn7VF0SsPw3IgIJN166H2UHlN2hnd4y3H6KFJFOO6bAXQch/85WSxofPtGL9BF3ifvKgQ+L59zAM/JPjCFhd8CF2ICJaNfl9HM2z8zAOP5IdHYnJwGw/88mcOGolJHt+VY1feDxr7kh8JYIq5Q2SQsyB35+yRr9F7X1ynWiavg7qrb81X2s9Pags2nVPtDaQYbT7iNVB7pZkLkBekf+apkPtPwoH6zkgAA9P5HXA7fki619fqb0FbIy6M0f/5n/+B3+/HK6+8gmuvvRZ79uxBeXk5vvrqKyxYsAAA4PP5MHr0aHTq1Akff/wxzp49iwkTJoAxhsWLFwMAGhoaMHz4cAwdOhTbtm3DwYMHUVZWhtTUVEybNg0AUF1djbvvvhvl5eVYvnw5PvnkE0yePBmdOnXCffdF7kkiCIIgCIIgCKJtQG66YokLY3TUqFEYNarFVevqq6/GgQMH8NJLL8nGaGVlJfbt24djx44hPz8fAPDss8+irKwM8+bNQ3p6OlasWIFLly5h2bJl8Hq9KCoqwsGDB7Fw4UJUVFRAkiS8/PLL6NatGxYtWgQA6NOnD7Zv344FCxYYN0YlhuaBXyJxZwc+N12E/R18Ty2QSx8TeeigLj4q6Kes179PudJnSNXUwC43XbVUOAkWVNFrO54xPaHoua3p1Xl1R3XFVD5X5YIcUUlHEdV91khZXvdgDtddvaBK0dTTUOXUTQFA+hTUICk1OXpBDWKpZg7peFD+ty/krpDVE5X35PJBRUXlngy9/xM4Vr9/v21Iyx8R1UW/ProBsUKY/8loAMAvbv0nAGBE53344Iy6+hEK7zygNe7teDDp3kE/JQghjld3fROe9u1Ub8UnvrFG87wH8rcDaBkrQXwqG0aC98jq2v7c/RrVee+Vc7XV7WaWwF0foWRopwPwMw/+dfZarvL5GopprFCbj3qn10Yo3aHzkxOeEj3Tz8APCYe+To1e2KUwJuk+67gyDZ2LiVv/nPr6emRltbg0btq0CUVFRbIhCgAjR45EY2Mjqqqq5DKlpaXwer2KMidPnsThw4flMiNGjFC0NXLkSGzfvh3Nzc02fiKCIAiCIAiCINyMz++J+iL4iQtlNJz//Oc/WLx4MZ599ln5vZqaGuTk5CjKZWZmIjk5GTU1NXKZHj16KMoEz6mpqUFhYaFqPTk5Obh8+TLOnDmDvLy8iP40NjaisbFR/ruhIbA6JnkYJA+DvNAUtk80miKq2GsKIKG3STXUgvKS0K9Bt47LezMC/zDQhFV1lScFTPKN56P3Q6Mj12S1qJO8qpUR5cNK6HW1lc5rOp41pbwY3dMQ3oZWECaufamSXuAi9QBKocqpyHD6vGiNc4/E5JeT3J51yNH2RPLK9lLlG3rfpwS++UVi6Nb1jOKto8eylUWuKKi/2XgXppesBRBQh32Q8Mk5bfXDUroEnfN56da+TqFStxb+VRWmSocqNBcvOdwbnd/y4L5wlXlr3ra7Net74mZt1VSL0Z13y/9WU1AJc/z6k7tU3w96SehxW8fP5PG3+dzVlvphdS7gmXP6pNdElPO78F7qmno+1l0wDYvipkvKqDFienfOnj0bkiTpvrZv36445+TJkxg1ahS+//3v46c//animKTyhMoYU7wfXoYxFvE+T5lQnn76aWRkZMivgoKCaB+dIIg4g8Y5QbRuaIwTBMEDQyDoouYr1h2MM2KqjE6ZMgUPPvigbplQJfPkyZMYOnQoSkpK8Ic//EFRLjc3F1u2bFG8V1dXh+bmZlnpzM3NlVXSILW1tQAQtUxiYiI6duyo2scZM2agoqJC/ruhoQEFBQWyyMluugB8mtay+h/cM3oFrai6ib3N7T8QsZ+OV3lKKorck9kcRS01HJE3DNWPd6VO7411+udGuTbXZin3bD6YswXNLBE+JqGZJcrRB5tZAnzwoNGfBB8k+JkHO+q7qdYpQj0xEoKd+xyVC653TnhSa62IwEb6YLbc5a8a8TnXGeLQGueJHj8SbUzePSDjKAAgSboSZfJKVEk3smxnCV9BjvRBQQq7tkRyNLLa7IeEbgUBpfTo8VCFNNDwgs0jAQCPDHofgDnFwqpiqkaP1BZPh1hGul2/s0/0QryXjNsbJnRjuPP3uNYYD/19lgyMvfnbI9U4vXt42sB13HWr8XzVUNX3Das0Oh/xu9fvwtv/vlHliJHAEca6Y7y8WtwB9aK/2Rj4jlSjuV/h4Vs+lP/9jczDAAL7gD9t6GqwY9YJnXP6pgUitYdHQibsxw8JEkXTFUZMjdHs7GxkZ2dHLwjgxIkTGDp0KAYOHIilS5fC41EOupKSEsybNw+nTp2SXWkrKyvh9XoxcOBAuczMmTPR1NQkp3uprKxEfn6+bPSWlJRg1apVirorKytRXFyMpKQk1b55vV7FPtQgN+SdxN6GwsAfN7YYlv496QDUjdDioft1r8OnNfmKv0W4K4pyLwwaegn9tQ3CS7szdSoI+5vDmE25QTuIh5Fr0ztLGbp8Qu7HaGaJaDIQ/CFoNADArvqWFXURqSCs5ggze45W+XBDVrNceH0an5e73WA5G40/LbTGuQcsap7FqHksU8/IqQ0CqQ9achfawe+23xG9UBg8i1yGFsI0XLWv6Vob8V7wfuCtnzFl7sseVwzawyc6Rbj9/m7rMEz5xgcovuqwbPz9W+MhU5RbbmFqwEgOdZ3jSZ9hhDVVN0QvpNdNnmvNGTiK39U6pFwMnuW0xnhRwSk5SNmnR7tEHDeCXh7nhTvu5KpD07jUfNvgPKKzjeLt3TdqpGEzNvYNfcG8949c3rg0pRcE7fdbWoz88m9skP/dP/0E9jbkq50inBszjkUEjQsPjGU3q7bfqH0w7Np9+xtV9nYmxvj8HoDyjAojLq7WyZMnMWTIEBQUFGDBggX44osvUFNTo1AwR4wYgb59+2L8+PHYuXMn3n//fUyfPh3l5eVITw8Yf2PHjoXX60VZWRn27NmDt99+G/Pnz5cj6QLApEmTcOTIEVRUVGD//v147bXXsGTJEkyfPj0mn50gCIIgCIIgCHeg66LLjK3NEHESwKiyshKfffYZPvvsM3TtqlyxDu7nTEhIwOrVqzF58mTceuutSElJwdixY+XULwCQkZGBdevW4eGHH0ZxcTEyMzNRUVGhcMspLCzEmjVr8Nhjj+HFF19Efn4+nn/+eVM5Rj0Sw4D845EHLCyk3ZR3AgDw79PWVuPEuPIaryPlenUlU1RAGjMqb++sFiWmPHe97IJrhRszjsn/1lJZAGupIFSVT0FJrrXK8yqgWmXNKKqqqUNclNol0eND4pVE7VpkJn+tSNgenvjdDFoueTwYHrs2qVRBxeZaFTU0iJ9JhgOJaX2+wq61qD7eKWLCeWHbHZhYvF7+u1/aSdkl36jLLc/cISLVy+qd1wf+YVAlCy9jeShxq1CcnzmogrnIyy00QNlN3SN/04Pz2o6jnHtMJWsPq3rqqnZ7xi6o0TaY4S/M+Gew/abg+MyvbrtN/ndZ8Ub0Sz8JIHAP7P8y13TT38g4LAdJ4kmtJZp/VA3QPS5FG5Nh1+7/bmup71vFuyz1zY1QahexxIUxWlZWhrKysqjlunXrhnfffVe3TP/+/bFhwwbdMqWlpdixY4eRLhIEQRAEQRAE0cohY1QscWGMxitS2F6y419l6Jbv1uE8d90DcgOrsztPR9+/IkIFDdQjpBqhqpaVz9Y367Ti75/mbIhIn/D45u8p2ppZHD0MfDjXpx+XFTE9lTQUj8q15lkZNaO08u7rVC3LG/CId08ph5oKAPo6pLM0+RMh+ROuqCf+wP/B5L+TJGv7W5d8Olj1fckTuC52/+iJmj9C6dlFWwk1C6+CGgyIVH28k+L9V7bfLv/7JwM2iu2cSd7ZpbPvUw6IZy10o3FFS7sr0VqKRseC8/K/fV834ph2UUfh2RcOAAO6BXqsdh9uD1NN9fYocmFQXTWspsLYvWF3/cEzuNswq6Qa2J+6rGowyga2zBV9OgS2jiWEzPn7vlSmA7whLfDs5gkpoxaQLnSfKhDYq/ratm9G7ZNhxV3eo61/Is93pVViVdWN8r9HDfg3X79cjs8vAX7ta+LTOcbD008/jZkzZ+KRRx7BokWLAAQ8QefMmYM//OEPqKurw6BBg/Diiy+iX79+8nmNjY2YPn06/vznP+PixYsYNmwYfv/73yu8Suvq6jB16lS88847AIAxY8Zg8eLFuOqqqyz12QpkjNrIya/SkYjIYAhaHP3yKsXfPdK0g/MEGZh7DDtORxo4bgxsJAIRAV2C1yb4+SbnfIAmlgA/PPjpxglhZUOjOwLzq9RzlT10Pd/D6/XpShevfRcC7tY8gYw8kroJxufSG36OtmFrJMqubQGKopSzM3ptrPjz3mL1A1G+XjMPgYbgnEv6dKnRPW42ry3PPMRriIaWu6YgYBD/53jniHKv7QxZALhS7bgbt0at3yx/3xnmIie7G3NWYMXt0+L9k9e1zpDbMW8/mYsiRovII1zcrcW09nAsUG090j1qGQkSirsfjVqOFxHu44C1SKJm+2DXebur9ReQl+1omSt+MuCTiONFaSfkf6sZnS9sDQsmp2EcvrrtNi6fesOLHLxzB8c8wTjaXrsjsL3gzpv28vXPpQT2heopo+br3rZtG/7whz/g+uuvV7z/m9/8BgsXLsSyZcvQq1cvzJ07F8OHD8eBAweQlpYGAHj00UexatUqrFy5Eh07dsS0adNwzz33oKqqCgkJgYCcY8eOxfHjx7F2bSDX9s9+9jOMHz8+Inirk8RFACOCIAiCIAiCIIhYE3TT1XuZ4csvv8S4cePw6quvIjOzJfsEYwyLFi3CE088gXvvvRdFRUV4/fXX8fXXX+ONN94AANTX12PJkiV49tlnceedd+Kmm27C8uXLsXv3brz33nsAgP3792Pt2rX44x//iJKSEpSUlODVV1/Fu+++iwMHDli/MCYhZdTFHL6QBQC4Jl0/n+PNucfgAcP2WvMJukWplyJTUdjlFlzUMZCby8ckTM75EH4mYcKmn1xp1FxfXtsd6Ur5k/7R1dK+aSdV3w9VLkPDuf/nq04RZc0FMopUWfVdbrX7pygX8v0byVnKVS6kPjcFMOLh/x3sG7WMpftdZ3W7f4H6PWYEK4qJrHAamBv8MBa0yIp62rPgND5TUUeDBN3TVnz6jfADGmhcK70uRpxi/P7WUkS6dI2eDziIme+ZGQwwJWped5KA+72z3hjf6H7EsbaC87nVedXMWFecb2Dch7dr9Dxez4sbrm5RtD/9XF8lfU1WSQ2mrQn/27GgYsEm+YOLRVf8orj7Xpmn1u3qB//FS3ztuhAG/U8aPNbQ0KB4Xyt9VJCHH34Yo0ePxp133om5c+fK71dXV6OmpgYjRoxQ1FVaWoqNGzdi4sSJqKqqQnNzs6JMfn4+ioqKsHHjRowcORKbNm1CRkYGBg0aJJe55ZZbkJGRgY0bN6J3795cn180pIwSBEEQBEEQBEFwwKuMFhQUICMjQ349/fTTmnWuXLkSO3bsUC0TTGWZk5OjeD8nJ0c+VlNTg+TkZIWiqlamc+fIxdfOnTsr0mU6DSmjccB/GjoCAHpn6Af9+EbOEWyr7cZdrygV022BjbRU3v5ZpxR/T8z5CA9u/NmVc/QqNNev1/aUyP/+af/IvSRmuCb1C0Wi61AlwwdlGgq/ylqT78rxM40dIo4ZC2SkVFZVAw9xBmHi3aMa2j/msEqhx+7jefC0b6dfSKCSe31X60onL0b2bWqdb0ax4J2beJWUaP3oVXAaB4/nqB6TNPqiGdBDSzowElCFUx3p1vWM6vtGFU5m4nuOlkZHrQ1DCip3T+xHxJ5RtxIYG9bnUz/zWJonAOPPJMHfKFNzjIm+3nTNMbmvn+ruJbW4j19EGhsjCquOktq78FTEe3rzS+ixz6q1Ut2wlnbjFb8Ephek6MqxY8eOIT09XX5bSxU9duwYHnnkEVRWVqJdO+3nCSnsYZUxFvFeOOFl1Mrz1GMnpIwSBEEQBEEQBEFwEAhgpP8CgPT0dMVLyxitqqpCbW0tBg4ciMTERCQmJmL9+vV4/vnnkZiYKCui4eplbW2tfCw3NxdNTU2oq6vTLXP6tDKTBAB88cUXEaqrk5AyajNHazsaKt+ts/b+ngP1AWm9z1WRN1KQQTmBfSbbTisV0nhRL80Qdc9Hx0A0u9AVu4c6/QsPbirnjE5nva9L9ij3lD5UFNvUEdneLwFErnCGK5fKpNtSRLlQ9bTR1zKdaEfVbVFUo+1RTfZoRw+WEi5rnus0ksRsSX9yg4MKaDhWFdFgHWaUNkN7RXmX/jnmv15dA/PqoRNhLkySetRErSjG+ikQjKSmaKmnR5cvOE8yvu8usI/T2PdsROU02kawbr/LVBOR8RBiTej8LGyfqAl11exeVSt7U63sSwVa+nrT1cewS08d1Zg3+BEQJT1kDulfeJzbY8JsNOTwOb/X1afk9/9zOEQlDe49dZP7g0FE5xkdNmwYdu/erXjvxz/+Ma677jr84he/wNVXX43c3FysW7cON910EwCgqakJ69evx69//WsAwMCBA5GUlIR169bh/vvvBwCcOnUKe/bswW9+8xsAQElJCerr67F161Z84xuBOAhbtmxBfX09Bg9WTyPnBGSM2sjxM5nwtNeeTdR+nI+dafH1LsiuizgOAPvPB1Yvrs/UflgdnFst/3tLbY9oXdVEWGAjh3OL3pR1IuK9hCvn/Sj7E916cjIvRLynNYmfqe8g12Vk8nltr0rAo37uyG1oFm/CZdkNGFAatnput/Hu/iZJ5hd7buwSeZ/GGrMPa4o6TBgrRoxQgD/lC8D50HrlO+zdVbnYd+BEjiFX3aipdnQeUq/pqtyKYSxlir2BokL7Y8SwBIwtMATrtmOBxyyh3388z1dWAwwp6jLpIqvoh0kD1lKbAl2BB4QEN9pRHRlA0kjarRsLj0ctYzWQHPeWBp1Om/196Bni7nvocC4kxGcwMxkm6aexMfhdpaWloaioSPFeamoqOnbsKL//6KOPYv78+ejZsyd69uyJ+fPno3379hg7diwAICMjAw899BCmTZuGjh07IisrC9OnT0f//v1x5513AgD69OmDUaNGoby8HK+88gqAQGqXe+65J2bBiwAyRgmCIAiCIAiCILhg/sBL77hoHn/8cVy8eBGTJ09GXV0dBg0ahMrKSjnHKAA899xzSExMxP3334+LFy9i2LBhWLZsmZxjFABWrFiBqVOnylF3x4wZgxdeeEF8hw1AxqiNBN33zK7+HD/bopJ27Ripku45n6erjgYpyQmopJs5FNJ4dMMNMrBjyyql2griDztukv89dstPI76XnMwGhBNtZb/zVUoV9YuGkMBABi/B0n0lusfHXrfdWIWEM2i46d6QH31sukllEaGaGFVLTLnm2pDyBdD+3H26BPbo8LiucbvBRSln5roYmXOdUlGN9im0fjeNDQ9YWN/cE0AtGqEeKiKuaazStwTbNnrtraStMbIVoLjwaOT5kBSK6YDCYxFlDPXFwUBymvVoXA+t71Wt7d6Fp+BnEg7sv8pyn2KFaDddNT766CPF35IkYfbs2Zg9e7bmOe3atcPixYuxePFizTJZWVlYvny55f6JhIxRgiAIgiAIgiAIXtyzXhb3kDFqI5KHweMRc7eeOHcVAKBL1nnF+/+uywegvkcynFtzqhV/b6rt4bo9odFWIYuz+VYWE0L680DmFvnf47Y+BECp3OaqKKKAucAenTOUSiljEs5cSJX/bYU3DhRbOj/QCWD0tXut10PI3JB/CkmpyZbriYXaIko1Ma2WGBgSdqmiIvZRAXyKj4jAUFbrixcV1U17Rj2SX3V8Jrioj+H4mPl9mWpYURhb6jAQdCz0PEspXMx9flGpatQUU+56BASasmPeVD1PLUVblHmgZ/camNeKY4sTyqgbOXr0KAoKClRTzBw7dgzduvGnlwyFjFE7kYACFfdaPY6dy9Q9fqLuKgBAl8zzivd3nusCALi5I//Ed1vOfwz1zY1Ec3f7fuY2+d/jtj0U8fCbf1V9ZJ0WAjOE90uSGDqlfym/f6YhMr8n4OACmwSs+byv+IlS5QOUdDsspOqNRwoj3vN/fUlI3SIRbUyKdlNUDyJlrc9ORMM04/or3BDlMDJFGKui+xVeHjDxXRkoa9Rw1ftu3eSmmyAxXcPTDZF2w93IRRrKPou5SJ2OmhvL4Epm21Xtg0NbJnjmBq35Rvf9KC69bhrjhhEcwCheKCwsxKlTp9C5szLq/Llz51BYWAifTz0LQjTIGCUIgiAIgiAIguCBQV9FiGM7Ww/GWIQqCgBffvkl2rVrZ7peMkZtpFtWHTySeoJbLbp3PCf/+6iOSnryfAYAoGuYQrrtbEAiv6XjYUPtxisJGotP37lqh/zvH27/CYBIt69wVdSMO1o40VYjw914gwGPwj+G3S4eksTEzpUq6So2Hethrq6wjqm667loRTXchc+u1V6jalPE+TYorY6kZuAsalQJEKqKClBOAfHqqdnywXMAe4Mo6V0TN6iNQTxgXP1x0tU+PCe0HdcrOKbMqqxWXIWtpHBx0hU42Gbg3Nh4mqj1x8jvhdk5zuy8EuxbXGuHbcwYraioABAIovTkk0+iffv28jGfz4ctW7bgxhtvNF0/GaMEQRAEQRAEQRA8tDE33Z07dwIIKKO7d+9GcnJLnIzk5GTccMMNmD59uun6yRi1Eas+8T1CVNIjZ7NUy5youypi/ygAbD3XHQBwa/bnptsXjS9sJdcuxmTslP89fvtPVFffQq+Z0UTuaphVVXPSA0ppqJp15kJqQLm0Wx298n9R7QhTW1VUVrUybkFtnDuh6ngkpr4P1Oa2rQQTCZzHrx7wqiOilQC5TlGqqMDPYCY4kN17S40GSQGiz7fxEMDIXF3mlTdlPfaosIqgZhbStwDmFFWn1VQr+zNFxJdQ9EHAd2rkGojc626GeN4zGos8o7Hkww8/BAD8+Mc/xu9+9zukp6cLrd8Z64AgCIIgCIIgCCLeCSqjeq9WyNKlSxWGaENDA/7xj3/gf/7nfyzVS8qojYiMFlaYfRYAcFhFIQ3uH1WLDPvJmatxW7Y7ouZ6JHNRtni5K/3f8r9/VPVjAOqr68F9tiLSLIhSVUNXJzunfalTOqRttKSNsUKw7yIUUklUPcE+RTnuBiSd/WR2r/w6ubJsVUGwNy1D9HVV3v7zqh3CVVHetDA2p1gx9z2JjXQMuEs18UjO9ScBDL4w1w8n2hahzsl7Hi0oqk6qqVbTt1j1QhGlrAb7E6gr+jXg3ZvKExFX8zyOPaZuGuNGkZh+6Io4/mi63H///bj99tsxZcoUXLx4EcXFxTh8+DAYY1i5ciXuu+8+U/WSMeoAIt3mru4YMEqrz0UapafqA6sVeRnKvJmfnL0aHokhUfLDIzF8I/OwsP7EkhFpe1Tfn7CjTNVYKRBohAbriYUhG+oSzGu4ym0a9G81Y+wKdTHWqMdNa44eRF90ikUOUVFYCaph1oDibY/3AUy0u6+VoB/hZQAxhq/qOQJSrOjVb+QcM668biEBDAkORiRxsi2fQFdTKzk9AfMpXMwasLFK3yIidYtcl6nUV9YW+cwYqWrjP56N0bYWwCjIhg0b8MQTTwAA3n77bTDGcP78ebz++uuYO3euaWOU3HQJgiAIgiAIgiB4aKNuuvX19cjKCohha9euxX333Yf27dtj9OjROHTokOl6SRm1EQnRV77Mrgxdc0Uh/fxcx4hjNQ0t/tz5GZGuu9vPdw9RSv2yYtqvw0lTfXGC0tTo/uhlO8sAACopkNAts06oImqlHivnG02fEMRsgKXstK8MtwUolY1zX7bXKalPVoevVd+/7Gk0XadoeIKbiExA7xRWAokA5oOJiA5EFCwdvW1x6qko5dRIudDygEGlxIQiZWeAI5FbXEQgCQxg5BaCCp9VFdaqsmopRZSFoENG52Sr8yEgLnVLoC573fb1vxcdHUtzbw1Xs/GDH/o/K61rupApKCjApk2bkJWVhbVr12LlypUAgLq6OsozShAEQRAEQRAEYTtt1E330Ucfxbhx49ChQwd0794dQ4YMARBw3+3fv7/peuPGGB0zZgx27dqF2tpaZGZm4s4778Svf/1r5Ofny2WOHj2Khx9+GB988AFSUlIwduxYLFiwQJEPZ/fu3ZgyZQq2bt2KrKwsTJw4EU8++SSkEDlt/fr1qKiowN69e5Gfn4/HH38ckyZNMtxnq6u7oedq7aG5OussDtepp30BAiqpmjqqxsGvc67sfwsopUmSDx6JIUFiSJR8SLrySpD8V44F/p+AwP/beZpD/r6MBIkF/n/leBJ8SBYcxOgnuybI/9a61l2vOq97nJdYKqLB851SU80qqUDk6qsRdZV3r5ibAhglXBkjPDiR8kUEZgOJBDG6H8uoYmCPgipGPRWZLsHMPktH0r7YqsYEyrpJGQ3ixj4ZIXR+tar0WlVWzSqqZgMtWQmuJGI+BMSlbgnUZaI/HKdE24Oqp5hqzY9qc6KdKWMcoY3lGQ0yefJkfOMb38CxY8cwfPhweDyB+/Hqq6/G3LlzTdcbN8bo0KFDMXPmTOTl5eHEiROYPn06vve972Hjxo0AAJ/Ph9GjR6NTp074+OOPcfbsWUyYMAGMMSxevBhAIATx8OHDMXToUGzbtg0HDx5EWVkZUlNTMW3aNABAdXU17r77bpSXl2P58uX45JNPMHnyZHTq1MnwxlyRrkZ69VyddSWoUYhRGvqwXnMhTVk+8xzilfJ/j1f8rWeUFGScF9Km1Yh3sTJirZznpCswYPwau+lHzKMTTVf3PJe5/cUqv6ARw9Uuo5XfrZannxyhGDgfCu0IDmT2HLsN1/DP66oxHvJbHt8u9wLdQy0GKzJjxPpMGjBWXIEBa4uIVg3ZIFbzrwbO5ehHtCIaNpbWNdZcwGPxszirRluNpgsAxcXFKC4uVrw3evRoS3WaMkbvuOMOlJaWYtasWYr36+rqcN999+GDDz6w1Ck1HnvsMfnf3bt3xy9/+Ut85zvfQXNzM5KSklBZWYl9+/bh2LFjslr67LPPoqysDPPmzUN6ejpWrFiBS5cuYdmyZfB6vSgqKsLBgwexcOFCVFRUQJIkvPzyy+jWrRsWLVoEAOjTpw+2b9+OBQsWmI4SRRAEQRAEQRBEK6CNuun6fD4sW7YM77//Pmpra+H3KxcgzNp/pozRjz76CLt378bOnTuxYsUKpKYG0j80NTVh/fr1pjpihHPnzmHFihUYPHgwkpKSAACbNm1CUVGRwm135MiRaGxsRFVVFYYOHYpNmzahtLQUXq9XUWbGjBk4fPgwCgsLsWnTJowYMULR3siRI7FkyRLZ8A2nsbERjY0tAVUaGgKpVZwOwnBNUCE9r+22q3echXT11vxq1TJvHr7BXOcEwavYdROligrIJWZl475ZxQMwHyDJbHtOqqmxWFHVHudigpvESgkSkV8wUI/xgCJGVAM7FFQjuUf53Wqtp5kxougC9qdkMdOG4fJhnzcWTm5aY1zNFd8TBxFK/FdUelFqrk9AOjMriqpRNdVKcCUrfQ2cb11VBaylrwGMz5t610prXtJP56IdBMlN3g9GkRBFGXWsJ87yyCOPYNmyZRg9ejSKiooUWxytYNpN97333sPEiRNxyy23YNWqVejRo4eQDunxi1/8Ai+88AK+/vpr3HLLLXj33XflYzU1NcjJyVGUz8zMRHJyMmpqauQy4f0MnlNTU4PCwkLVenJycnD58mWcOXMGeXl5Ef16+umnMWfOHBEfkSAIl0LjnCBaNzTGCYLgoo3uGV25ciX++te/4u677xZar2ljNC8vD+vXr8dPfvIT3Hzzzfjb3/6GPn36GKpj9uzZUSf+bdu2yb7J//t//2889NBDOHLkCObMmYMf/ehHePfdd2XLXM1CZ4wp3g8vw67IgUbLhDJjxgxUVFTIfzc0NKCgoCBm4emvyeRTSCMI+Xiba3oAiAwoI2gRxDa6Z9QJqUdEGhgria3N7lO1EuTIyfaC55oNRBSLAEZa4zyIyLFuZ9J7X9iarbjAXsYDihjZTyhaQRWdygXgU2JFKKe8/Yo4x4GgIaL2osbit1Pztxx+TSXUTepO+O+1KPVWhMJqVlU1M79Y3ZcaaM98XwPniwkQ5dR+1WjzppHgRDJR9pe6LW6CIdqom25ycjKuvfZa4fWaMkaDRpnX68WKFSswd+5cjBo1Cr/4xS8M1TNlyhQ8+OCDumVClczs7GxkZ2ejV69e6NOnDwoKCrB582aUlJQgNzcXW7ZsUZxbV1eH5uZmWenMzc2VVdIgtbW1ABC1TGJiIjp2jMzpCQSuQ6jrL0EQrQ8a5wTRuqExThAED5I/8NI73hqZNm0afve73+GFF14Q5qILmDRGGVOa/P/n//wf9OnTBxMmTDBUT9C4tNKH4P6OkpISzJs3D6dOnZJdaSsrK+H1ejFw4EC5zMyZM9HU1CSne6msrER+fr5s9JaUlGDVqlWKtiorK1FcXKy6X1QPs1E2RXHNVQGF9PN6gwppCE5HDmQmXBtEqaGAYEXUyiqwgJQqhtpzeF+q2XNDz3cLHqnls9ilaJpNY6CGqD46lZrBDgVVpHrqtHLK26/wegHjKVkA+/aWRivvJsWRx8spIQZ7SH1hkZtFX7OW+8bC3kmTqqq1CMDO7UsFrKmpyvbFKKtGVFWePan686X6bw2PYuqmMW6YNqqMfvzxx/jwww/xz3/+E/369Yuwi9566y1T9ZoyRqurq9GpUyfFe/fddx+uu+46bN++3VRH9Ni6dSu2bt2Kb37zm8jMzMTnn3+Op556Ctdccw1KSkoAACNGjEDfvn0xfvx4/Pa3v8W5c+cwffp0lJeXIz09HQAwduxYzJkzB2VlZZg5cyYOHTqE+fPn46mnnpIt/EmTJuGFF15ARUUFysvLsWnTJixZsgR//vOfDfc7Vm664Vx7xSgFgM+Nuu46Dcf1EhWcKIjyByDGRqiDBqxZlz2nXYHVznfDuAqSABbxAGOn+1H4Z1czzu12f7Ly0GbchZPPOAP4H75EGayigxGJCpJktI+qbdiUS1SuP0p5d41xvyVjU2RKlVDsMoCDRq6YbSoGF9IsuASbNWCt5i61usAnypgN9MlgwCKOhTSt78KqkSrFs8XWRo3Rq666Ct/97neF12vKGO3evbvq+/369UO/fv0sdUiNlJQUvPXWW5g1axa++uor5OXlYdSoUVi5cqXsUpOQkIDVq1dj8uTJuPXWW5GSkoKxY8diwYIFcj0ZGRlYt24dHn74YRQXFyMzMxMVFRWKPSKFhYVYs2YNHnvsMbz44ovIz8/H888/T2ldCIIgCIIgCKKN01bzjC5dutSWek0HMHKS/v37c+Wu6datmyLCrlZdGzZs0C1TWlqKHTt2GOqjGm7coH1t5hnV9/9z3py7tF0UZpyLeE+0e6bZIEER9QhQ/Jw814qSCjjr0qt1vptUE0lnnDvRT6euhRUXMjMKgjEVVazLL496Kko5DZQTq54q6jUR+MVqWhbNsgbmEDeNcbu9MRJUviMfs9cFN5zQ8W1FcbWsqjLjbcfCFdhq6peWesx5mYRjVF3l7r/Glg8zimn4fBjLbWyWaaPRdO0iLoxRgiAIgiAIgiCIWNOWAhgNGDAA77//PjIzM3HTTTfpBi4yK+SRMWojbtvbpkfPzC9U3491sJjQQCwir6WZtAiq9VhIlRCLPaZW9ns6FVQpol2XpH3QIto4dzoImGisqgeBc40rqbxqAa+Caig4kIV9VHK/YpBiJryPdqqogXP496OKmnNjQYLkV1Uv7W7TCXwm1HA1gmPdrKpqVlEN3Ffm1FSzc7PZNDWK9k3Ojep1GZsvA+2anzOjzpGaj43KutzmOWiINrRn9Nvf/jb27duHW2+9Fd/5zndsaYOM0Rjhph9lv/bMEZOHfpG5upT1ijNsrUS9BawFDwKsuBU552Jr5eEzmjufm4zRBIlFfagRle/PSazmFjTzwGbkAc2I6y+PwcrbtihjFeB39Q30i9/oA/jnJjPu9+YepLUjPKvW7aLfSCnGkfHtoCWKqvW5yWciSJbcD5NGrBV3YCsGLGA93yoQm8i74hb5ouQjVWnDSM7TuCDKntHWNF3MmjULHo8HN910Ex566CGMGzcOGRkZQtvg+3UgCIIgCIIgCIJo6zCOVyvik08+wYABAzBjxgzk5eVh/Pjx+PDDD4XVT8qojZhdTbVD9dFzt3XLiq+ogEIR9Qp2hwnUZdE110GXVzPqptvT1LgpNIAHfu5VdjcpunqYVQ7k8024wBlRUo2mL+BSAzhuKp52eZVTILrCwuvqq2jb6D1msLgZ91+AX+0O1u3GseK0q64dyG65grapAOauixX3YD+TTLkDW3EFBsx7uPhDdB+r6qAT+Vejzpkac6VRt954Vkrb0p5RACgpKUFJSQmef/55/PWvf8XSpUtx5513okePHvjJT36CCRMmoGvXrqbrJ2WUIAiCIAiCIAiC0CQlJQUTJkzARx99hIMHD+IHP/gBXnnlFRQWFuLuu+82XS8pozbigXsCGLmlH+Eo9j0IVGhD98HGYm9GZB3WFVWn1FQrQY4AZ9RUN93PZgKV2ZWs3iqikt0bURCM7sOyQ0EVqZ5yqQ8a6RKUtfDvsfKZ8P6wey8qYGb+aem/m4KbhAYwclO/eAmNlyBqjyhgLWaC2X6Y2Z8ai32poW2LiBng1B7+aHOm1lyptcfUdBAkt9OGAhhpcc011+CXv/wlCgoKMHPmTPy///f/TNdFxihBEARBEARBEAQHUpQARi5aL7eF9evX47XXXsObb76JhIQE3H///XjooYdM10fGqI14JH9crqLajV3pWlrqF5dCwGpqErk/DiuqZvemWtmX6qSa6iZlNAF+y0pnrD+P1bQMgDkVwYyKKlpBFame8kbtFbHvVC5rIkql3XtRRUT0jfWYCEXtt5w3KmmsCdyTYp5D5AjWFlRNwHzMBDNtW4n0C+bsfKiFFXXViKIabc7UUzk1x4NOmpe4fj5m0HeCiY/pwRDHjh3DsmXLsGzZMlRXV2Pw4MFYvHgx7r//fqSmplqqm4xRG+FJ+dBW8AlwdY2GVVdYZV3W0wtYCchkJT+jmTatGK9m2gu2afa7ctODKiC2P3YHSfGpuIhadUMDzLnAGXcR5TAaBT58hbbPY0CKMFav1MbRJ+MP9ryBk0JxwnBV+wySi57mEqBtfLrtgdofNr5FGM0tuSktBDVjHmuBjkz+NsUiuBJgfSuGD9YX7Y0YsdEW+vTnSvU2ohmpHjdFIjRIW1NGhw8fjg8//BCdOnXCj370I/zkJz9B7969hdVPxihBEARBEARBEAQPbWzPaEpKCt58803cc889SEhIEF4/GaM24mmFibJ58Kv4ZdilEItWXEWoq1ZVVWuusiYSeVsICOH0Zwxt2y2Efg47VE0R6nwoovpoVj0wqhwYVVBFqqe8aRREKaeAWPU0vH0z6lKsVFQ3/XbybLmJlduuL2yMi1ZquYN7aWBFVbWipjrpChxsExAXMFGEsipq3tRTTbUUU705MXhPxYuruxptTRl95513bK2fjFGCIAiCIAiCIAge/NBfD3SX977rIWPURtpSACNFUCIHVrvM7H3Sw0xqhIg+CUjfApgP7mBa3TT1mc2lKLb6GQFzqVTsJDTtA2Dv/a+3Yq+6F9SmvphNzWAqmAhnEBFeJcCIeipq3ymvcgpEV9h8BvdpmxnnRvejGp2PeeZbN/12mlFx7I6NEMQudcnqPlHe+1l022bU1FgEVtLsg6CYFzzKKneQJY052EhAudC+Bb9XyUVj3ChtTRm1GzJGbcQjuS/QiijCXSWdenAwE7RDtz5BRq1R97SIfpiM+BeLqLmAc4GVFG2GfEY3ufBJGu74dgciikV7TgYTMfJwZuThS5TBasTVV4SxGihnzGWS3+XXeF8UcORNlevndP11U/A/uxaWo92zPpVFPzt/axX5SE3OsSKMWCcNWLOuwIB5d+CIPljIuxreH8CZOTPqHClF3rvhc2FcPx+3sT2jdkPGKEEQBEEQBEEQBA9kjAqFjFEbifcN2qFEBklw7nOFqrCi86VZXdW0qqyadQ+OlxQu1lyBtRVjN62ohrvphuMmd0OzWMkvaEY9MKIU8Lr+ilRPRbr6is6H2lLeuIoKGM8TGzjHnlQ0bsEjIJewGZxqs8Vd0/o2FacVVbPtWnUFBqx5o4RuqxD3HOLMnBltjtScH8PUUjd5PxiF3HTFQsYoQRAEQRAEQRAEB5I/8NI7TvBDxqjDuFklCQ+MEIrTCm+oEitSBbOq1LXUY22V34qianZ/qpV9qU4FVYpoV+NzumkcuTntg1VioR4YUVJ5FVSR6imvcgqAa9+pqCBJ4e3bqaICZvajGkz54qIx47agaaIQm0bEmqpqdp+o6SBHDgdWCm0bELPH38wefiFzpk5QOSN7THm8S1wLuekKhYxRgiAIgiAIgiAIHsgYFQoZozYiGYzA58TKa3gUXGX7sV+lsrrvRAsz+6HUELEHErAaQt4ZNdVqBFyrqrFeu25SKRLAd7+6YXzxImQcmt37ZWTfE0f/RKqnopTTYF0iU8wAoXvQ7VVRAWP3Bq+KGjq/um28xGLPqF1wp/SIglVl1exe1VjtE7UyH4pQVUP7AtjndRJ9zlT3ojO7xzQeka689I4b4aWXXsJLL72Ew4cPAwD69euHp556CnfddRcAgDGGOXPm4A9/+APq6uowaNAgvPjii+jXr59cR2NjI6ZPn44///nPuHjxIoYNG4bf//736Nq1q1ymrq4OU6dOxTvvvAMAGDNmDBYvXoyrrrrKYI/FQsaojbjRtcdt/bEzRYyIMPVBrBqzQgL5OGTAWsm5KjqFixaSi5YdjT44u91l16zrWxCjD4pGH9KMPIiJNli58uty5EUV6eorlzeR888J91/AwD0f8nPgMfo0ZyOBB2xx7pWxwKf4PRTgImrBwLBixJp1CY6Va67IBXYn8q9GmzO15kqjbr3xbqCK3jPatWtXPPPMM7j22msBAK+//jq+/e1vY+fOnejXrx9+85vfYOHChVi2bBl69eqFuXPnYvjw4Thw4ADS0tIAAI8++ihWrVqFlStXomPHjpg2bRruueceVFVVISEhAQAwduxYHD9+HGvXrgUA/OxnP8P48eOxatUq4xdBIGSMEgRBEARBEARB8CDYTfdb3/qW4u958+bhpZdewubNm9G3b18sWrQITzzxBO69914AAWM1JycHb7zxBiZOnIj6+nosWbIE//3f/40777wTALB8+XIUFBTgvffew8iRI7F//36sXbsWmzdvxqBBgwAAr776KkpKSnDgwAH07t3bWKcFwp+p2iU0NjbixhtvhCRJ2LVrl+LY0aNH8a1vfQupqanIzs7G1KlT0dTUpCize/dulJaWIiUlBV26dMGvfvUrMKa8a9avX4+BAweiXbt2uPrqq/Hyyy+b6muCxOil8golqB6LfgXq9lt+yd/llTQ9Zl5WPmfLdTLXbw+Y4ZeV79TKNTZ0bVykLpq5H0IRcZ+Kus/NfJ7Ie91Yu3bVD7Sk3dF7AXzjhKe+QP+ij+mEK6lCtF489UTMEfBzv+Tv2vD4tm8OVrsX3IKZ+8UtL7XPYOUl1xflHta6rwFrv4fm2zQ3Lzo5H9r1HGKkH2bnSqNzYvj3E5cwnZcFfD4fVq5cia+++golJSWorq5GTU0NRowYIZfxer0oLS3Fxo0bAQBVVVVobm5WlMnPz0dRUZFcZtOmTcjIyJANUQC45ZZbkJGRIZeJFXGnjD7++OPIz8/Hp59+qnjf5/Nh9OjR6NSpEz7++GOcPXsWEyZMAGMMixcvBgA0NDRg+PDhGDp0KLZt24aDBw+irKwMqampmDZtGgCguroad999N8rLy7F8+XJ88sknmDx5Mjp16oT77rvP8c9LEARBEARBEIQ7kDjzjDY0NCje93q98Hq9qufs3r0bJSUluHTpEjp06IC3334bffv2lQ3FnJwcRfmcnBwcOXIEAFBTU4Pk5GRkZmZGlKmpqZHLdO7cOaLdzp07y2ViRVwZo//85z9RWVmJN998E//85z8VxyorK7Fv3z4cO3YM+fn5AIBnn30WZWVlmDdvHtLT07FixQpcunQJy5Ytg9frRVFREQ4ePIiFCxeioqICkiTh5ZdfRrdu3bBo0SIAQJ8+fbB9+3YsWLDAsDEavgrd1vHLe27sWfH2hew/FbEXwej+KPU6zAc9MJ46Idim+XD3gPHgSoE9JOaCKgHm9r9Y/V5EI6o/Tq4UB4OHAOJSHRkPamNP+hHeukXtowL49p3yppjh2XcKmNt3xRs4SS5vcC+q0SBKWvvpJReN8XCVMYib94+aSfuhR0v8AQuf2WRXzARcsrovNdBebPeJOrlfNVpbenOl1vyoPye2jT2jBQUFivdnzZqF2bNnq57Tu3dv7Nq1C+fPn8ebb76JCRMmYP369S11SsqN9IyxiPfCCS+jVp6nHruJG2P09OnTKC8vxz/+8Q+0b98+4vimTZtQVFQkG6IAMHLkSDQ2NqKqqgpDhw7Fpk2bUFpaqliVGDlyJGbMmIHDhw+jsLAQmzZtUsjcwTJLlixBc3MzkpKSItpubGxEY2Oj/HdwJcSNAYycQi1qr12GuWgj10xEyog+CQgCZD5SoPGH08B5JqPtmvjBNWvAxhLtcR4IbmKHISlq/lAbj6KCmADm7h07AhwZffgSZbCKMlbluji+d57Ivop6TT7Q2224avUnFr+dWmM83EU1nFgvOvsRueNKpKFsJPevGmYNWZ88ng2eZzG4khUDFojN4l5kf/gX+7jmY4NGqt49E5wL3byYExXOPaPHjh1Denq6/LaWKgoAycnJcgCj4uJibNu2Db/73e/wi1/8AkBA2czLy5PL19bWymppbm4umpqaUFdXp1BHa2trMXjwYLnM6dOnI9r94osvIlRXp4mLPaOMMZSVlWHSpEkoLi5WLVNTUxNxMTMzM5GcnKyQqNVk7uAxvTKXL1/GmTNnVNt++umnkZGRIb/CV0IIgoh/aJwTROuGxjhBEDwE3XT1XgCQnp6ueOkZo+EwxtDY2IjCwkLk5uZi3bp18rGmpiasX79eNjQHDhyIpKQkRZlTp05hz549cpmSkhLU19dj69atcpktW7agvr5eLhMrYqqMzp49G3PmzNEts23bNmzcuBENDQ2YMWOGblke+VlN5g5/n6dMKDNmzEBFRYX8d0NDAwoKClrHBm0DKFcG7V3VDlV6RK1Ki1BYraiqVtVUs2Hr48EVWD7fQq5Vq2iNc49KcA474JlLfBrri3b0yYyCYEpJZXxrpsKVAM46RSmngHj1tKWP5r6rWKqobhvjRj6b3X33hadEs+E5I1RtNatgmXUVtuIS7GPmvFTM5l61mms1vP1AH5zbHsQ9x6nUZyYNWOhc6KYUbYYRHE135syZuOuuu1BQUIALFy5g5cqV+Oijj7B27VpIkoRHH30U8+fPR8+ePdGzZ0/Mnz8f7du3x9ixYwEAGRkZeOihhzBt2jR07NgRWVlZmD59Ovr37y9H1+3Tpw9GjRqF8vJyvPLKKwACqV3uueeemEbSBWJsjE6ZMgUPPvigbpkePXpg7ty52Lx5c8SKQnFxMcaNG4fXX38dubm52LJli+J4XV0dmpubFTJ2+Cbd2tpaAIhaJjExER07dlTto96GZIIgWgc0zgmidUNjnCAIHnj3jPJy+vRpjB8/HqdOnUJGRgauv/56rF27FsOHDwcQCN568eJFTJ48GXV1dRg0aBAqKyvlHKMA8NxzzyExMRH3338/Ll68iGHDhmHZsmVyjlEAWLFiBaZOnSpvRxwzZgxeeOEFY521gZgao9nZ2cjOzo5a7vnnn8fcuXPlv0+ePImRI0fiL3/5ixyiuKSkBPPmzcOpU6dkn+rKykp4vV4MHDhQLjNz5kw0NTUhOTlZLpOfn48ePXrIZcKTv1ZWVqK4uFh1v6gerX3PaPg+NCdUYLOrl1qIUlitqqpGk88r2jahUsbLvtSW85Ur7G5K7aI1zmPhFeHmMWhenePc1ykgSEdofUD08SFKOQX4950C/IqRrEzZHPjFiIoqzwVR6o/1PsxQPBCrdprZ66s438bnCh/n96NHy++hOWXTbBwCM22a3ZcKWNubGorZfapq/QHE7q/XmuOizrkcfWgLe0Z5WbJkie5xSZIwe/ZszeBHANCuXTssXrxYziCiRlZWFpYvX26scw4QF3tGu3XrhqKiIvnVq1cvAMA111yDrl27AgBGjBiBvn37Yvz48di5cyfef/99TJ8+HeXl5fLm4bFjx8Lr9aKsrAx79uzB22+/jfnz58uRdAFg0qRJOHLkCCoqKrB//3689tprWLJkCaZPnx6bD08QBEEQBEEQhCuQGIv6IviJm2i60UhISMDq1asxefJk3HrrrUhJScHYsWOxYMECuUxGRgbWrVuHhx9+GMXFxcjMzERFRYVij0hhYSHWrFmDxx57DC+++CLy8/Px/PPPm8oxGvfRwsLwhe3dckr1DVUvRSo/IlY1eVf5deswGIEyiJn9qfG0LzXQpnp/3ZTaRW9veGsZ/6Fj3/w+URvVOY6o9CL3ifLWx6ucAtHvFVOKkZn9XDYq3qKUJKcJjPHYpD5w0tsBEBQzwWSfA7+FzqipVlPVmN2bqqhDoKeX8XFocY7TOZ93j6mbfscNI1gZbevEpTHao0cPOahQKN26dcO7776re27//v2xYcMG3TKlpaXYsWOHpT6G4ya3wmj4NX50nXywDn34Ff3wIjLggJD0Lwb7YXe+1oj2LKZ+sSPPqie2KbEU8Cw6xdP4DyUWD2xmXD6jtWGHu6/ZoB9G65HrMvAdGA0cY+Z7NuoCHM9Gq0fywxPjPHx24RdgVAGB78zKNhXAym+hif5zBkaLbNN6vlUrrsERdRk0aHnHod6cqTe3GXHrTYgoFT+ERszVOk7wE5fGKEEQBEEQBEEQhNOIDmDU1iFj1EYkMK6V6Vi48oW73IYSSxVHxKqjGiKVVqvKqtUQ8mZcoMyoqVbT1FgNVqSnKllJBi4aj4vHuVnMpmQIhTdNSXibtqhnzJoSEIpI91yRbsOKeg1edzMujobbMKjcuC0tmtv6YwXRaUQA8wGAAONePlbcgc2qqaLmRDNta/UFsC/QmO6cqeEkYNatNy4hN12hkDFKEARBEARBEATBAbnpioWMURtxcwAjN/VLoVoKXk4SqbSaSZOg6IvVvaqS8T0uVvalOhVUSW7TwN5UyUX3r5Fx7qZ0FVqYDSISilG1zYzSJlxBFaSeCt8raiB5PWBM6bJ7Lypg7LsNVVDdtGc0cK8Fdrg5tVffDnyC4iUAxtKIqGF2r6rZvakx2Zcqt21dVQ30xfzzDO+cGc1zS3fPqQHF1KjHh+sgZVQoZIzaSCDoQRwPNhvxh7qZ2HCNRE3+gJggLoDzRqzZICB+Jpl2f3LKgHXTg6oHflPXy20PtbHIL2hnoB1et19et3mewB+8rr48wVOMPKyZiXTthPsvYOy7Da3fTQumCRJTjNd4WFQKEhyTgJg5x6pBa8WIjYUBG6t8q5F9MZd/NdAPA4t9Ok3oPVNozY+ac6LJ6PyugTFIfp3+U2oXQ5AxShAEQRAEQRAEwQG56YqFjFEbSYC7Aq24ATOuZEbgzdnHQyyCuKi2bzLQkRP5IEPbc1JNdZOq6IGY/sQqQIrZICIR9ZhREQxkyzCiDPCOOyOuayKU05a6xAU3Aoy75gL8v01Ouf+Gf7eSi347A94PkTerm9RbNQLXVUwfRaQU8xlI76M4z6SaajW4ktOpatSwqq4KnTc1qtGaH6O59Ma15yC56QqFjFGCIAiCIAiCIAgOKLWLWMgYtRHaM6rcGwrYpxSLVFxFqKtWVVUziqqVvalGEtLL7ZlUUkPbNLty7MY9W6KVTTvmjvDxCFjrd2iKCFNpgzjbNhJUiVcJEKme8iqnAN8eVtHBjVrqNhE0hGN/a2j9AP+9qzfXukl1DAQp05bx3ZD2JXQsBhF1Da0qrFZUVTNqqtV9qYCzqWoi6mEt95rV625kf73evKk1X+rOjxpBF4PPG278HeeFjFGxkDFKEARBEARBEATBA2P6QYoogJEhyBi1kQSwNrVn1Keyp8ZOZVgRkVfAdRalrhrdL6XogxVF1WS4d8DcPlHr0RTNp39xEwnwI8HmvdDBdnhQU0iCiOyfU5EtjexFNaIEiFJPRSmngNh9p8p6je0TDbRhXOU0Wr9e3W7yKvKEjHH9cs793vvD+mOHOtui9Fn9PTMXTyDQtolrypGmKZxYqalqfRClrPJcd545U2u+1JsfeRRTN0XFNwoFMBILGaM20hbcdEUbhDyIDoJk5kFNDSv9suIabDb3n5X2rBiSVoxYN+YgDIxz+x8MFfVf+fw+FePc7radDCbCa7iKfvgK1BndYBVlrALiDVZlvca/K5GGpZn6E7hrsx8PmGVDU0Tu3lDsMnxDjVyrC47Wfs+cM2CdDqwUjihjNtgn3s/Ps9CnO1/qufBzGKlucG83DQUwEgoZowRBEARBEARBEBxIfv08o7o5SIkIyBi1kYBrTxyv/KgQ7gLolPJrhwIr0i0XMN8vU0FFYF5NNZs826yaaiWwEqCuqLppXIW66UYcs1nBdTLFjZVk9+bVOc5zNAJlRPSD0+XXiuuash7nU8wo2jehogIm0rjYkCbGTV5F0QIYCWsn5DqGb3uxO6CTqFRmgDVF1Uk11enASqr1mJgb1TCqrvIoqHrzpd4cyevW66YgZUYhN12xkDFKEARBEARBEATBA7npCoWMUZtx0942o6gFi3FSkQpVYUUHXgFiu0fUaj+sqKmmlU2D/bSyLzW0bbUx5KZxlSAx3RXmeA5fD1hXDwDj+0QBo4FzogcQAqJ/Bt69p6KU00BdfPtOAePX0U4VtaUNewIcuYlYBCN0OgaDiD2tVlVV8wHRTMY+cDqwkty29X25cl0m5kvudjU8Tswopmr3h5MBv0RDyqhYyBi1kWgPAm5wNdSPvBmb0WQ10I0W4oMNmHfLNdsPpw1YK5GBjeQnjGg3ygOSm9x7PPDDEyXSppv6y4uVQCJA8KHEvkAihsYzRzeMBEsSZawC0R/IjOYcNmq4molubXSONmq0Bup2z9NcIIBR/I1hPWSjSlAkeqcjyJt1CbYaXClW+VYj+2JuoU/IIp/etgitSMbuC4RvDT8LvPSOE9yQMUoQBEEQBEEQBMGBxPSz6ZEyagwyRm0kwUIAI5FKSnhIeEU7LlntVbrkihvF/hi6w0T2JcaBjmzMMajano1paiQXqSZGgpu4ZbxFw6zrm3y+QQXBqGJgVEF1Uj0VpZwG6jLm+mhURQVgeG+Tne6/od+VmwIYBYlHD4dwrHo8hGJFXTXrHmwl0JIVV2AgNvlWw3Ei/6renKmnmGrNj1pzYlyPJ8YCL73jBDdkjBIEQRAEQRAEQXBAe0bFQsaojQQUk9iv/LihD2qEKrb27Q+1PiOI2MNqJXy7WUXVrLppNtCIk2qqm+5pj05qF+1z3PlLZTU1A2BcVTWjoopWUEWqp1xpZjgUCl71FDCnFhkNMOZEEKXQ6+KmPZqB3/Ir/3bp2NUjNE2MiLnTitJnea+qjR434cRiPtSsR8Q159wTr/t5NX7qtBRTo2pp3EDRdIVCxihBEARBEARBEAQHko9B0jHuJR9Zo0YgY9RGAhH46IYMxS94hVYN3gTyXHUZXdlXwUzKBGX7JlO4OBhxF7C2b8hom27aTyZinMda6Y1VwnsjqoFRZYBXQRWpnvKmmRGx71Ru04TyYvdeVBERfV2VvkkltYub+qdH4PdHTF+tpoGxEo3WjKJqpb8iUtUA4mJVOHHNo82ZWnOl7tyoVZ3k0cnl4H4kxiDp7AvVO0ZEEjfGaI8ePXDkyBHFe7/4xS/wzDPPyH8fPXoUDz/8MD744AOkpKRg7NixWLBgAZKTk+Uyu3fvxpQpU7B161ZkZWVh4sSJePLJJyGFBCBZv349KioqsHfvXuTn5+Pxxx/HpEmTDPfZLW66sSbUHdcu41y0kWvGJS2iDguuwmZdg80GWbLiCmzF/djsQ1KCqbPsQ/Q4t9MV0KfiZ2U1WBFgzgXOiLEi2mjldV3jTaEgylgFwOXqy5sTVdG+iQdbJwxXtWvipmBfksQ053E39ROITNcmdquKhdyaJtO/mHVP9cP870ssUtWE47SLcDSjVctQ1VvM05oTg/Og28aOIchNVyhxY4wCwK9+9SuUl5fLf3fo0EH+t8/nw+jRo9GpUyd8/PHHOHv2LCZMmADGGBYvXgwAaGhowPDhwzF06FBs27YNBw8eRFlZGVJTUzFt2jQAQHV1Ne6++26Ul5dj+fLl+OSTTzB58mR06tQJ9913n7MfmCAIgiAIgiAI90DRdIUSV8ZoWloacnNzVY9VVlZi3759OHbsGPLz8wEAzz77LMrKyjBv3jykp6djxYoVuHTpEpYtWwav14uioiIcPHgQCxcuREVFBSRJwssvv4xu3bph0aJFAIA+ffpg+/btWLBggWFj1AN/fG/QNok/bGXWTnVY1CpkEKNBPfT6ZCWEvFk11Wyb8eCaG962WwjcKwGt1i5F00rQinBi7bJndMzaoaDyuq7xuPqKVk556gLAFygptH0TAUPsDKIUba51k1dRQMWJVsb5h09VLwcbggFaUVfNqqrWXWydDa5k1YVZrkegssq7/QDQ77fu9dSYh3S3P1y5bd203cYokp9B8uu46eocIyJx11NdFH7961+jY8eOuPHGGzFv3jw0NTXJxzZt2oSioiLZEAWAkSNHorGxEVVVVXKZ0tJSeL1eRZmTJ0/i8OHDcpkRI0Yo2h05ciS2b9+O5uZmGz8dQRAEQRAEQRBuRvJHfxH8xI0y+sgjj2DAgAHIzMzE1q1bMWPGDFRXV+OPf/wjAKCmpgY5OTmKczIzM5GcnIyamhq5TI8ePRRlgufU1NSgsLBQtZ6cnBxcvnwZZ86cQV5eXkTfGhsb0djYKP/d0NAAIGDpm0pMHGcElYEgdqvBoYqPqNVzoQFcLOyLcVJNtbIv1VL6Fgv7eIDAamosVlS1xrlqcBMbx4Da/eVTUYvt7IPZ/VhG92IZ2a9oRAkQpZ6KDJLEO64MqacIVT4MBH4xuB/VaBAlnu81FsH/jIxxXkQGOvKH/dbapcYqUsFYCL4HWPHycU6dtLIvNYjV/bRyPQ4qqzxzpt58aVUxje89o+SmK5KYGqOzZ8/GnDlzdMts27YNxcXFeOyxx+T3rr/+emRmZuJ73/uerJYCUAQhCsIYU7wfXoZduWGMlgnl6aefVv0cCSbyD8YD4QESnDK4zQTs0EOUUSvErcZCsATzQY7c7Qrc0makERsLlzitcR6IpqsSgMVBg9mptqw+tBmNhGks+IaYh69A29GNK15jFeALkiQ0H2qwfZPzg+E5nSNvqtwnTsM1Fm66mmNcJ4CRVbTGhJoLrt0RfEUFKgrUYd6IdcqAtexaK+DrsBJoKRSjn4V/oU87OJFRIzV88S6uxRoKYCSUmLrpTpkyBfv379d9FRUVqZ57yy23AAA+++wzAEBubq6sgAapq6tDc3OzrHSqlamtrQWAqGUSExNlozecGTNmoL6+Xn4dO3bMyGUgCCIOoHFOEK0bGuMEQfAQTO2i9yL4iakymp2djezsbFPn7ty5EwBkt9mSkhLMmzcPp06dkt+rrKyE1+vFwIED5TIzZ85EU1OTnO6lsrIS+fn5svtuSUkJVq1apWirsrISxcXFSEpKUu2L1+tV7EMNEnAnjH9lNDxgjJOuFT6FeilucJsJ5qGGmRx/yn6YT4sBmHNHigdX4NB21ZSgWLjpao3zQAon7fNioeKKxulgIkbUAl4FVaR6Kko5DbQnNh9qaB+NqqiA8TyxAN/cLNqzxQ40x7gFN12zONVeqAIbi0BF4f1wytPHSv5VEcGKzHqZqGFUXbU6Z0adI7V+D8OqcvNcEBU/A3w615wCGBkiLgIYbdq0Cc899xx27dqF6upq/PWvf8XEiRMxZswYdOvWDQAwYsQI9O3bF+PHj8fOnTvx/vvvY/r06SgvL0d6ejoAYOzYsfB6vSgrK8OePXvw9ttvY/78+XIkXQCYNGkSjhw5goqKCuzfvx+vvfYalixZgunTp8fs8xMEQRAEQRAEEXtIGRVLXAQw8nq9+Mtf/oI5c+agsbER3bt3R3l5OR5//HG5TEJCAlavXo3Jkyfj1ltvRUpKCsaOHYsFCxbIZTIyMrBu3To8/PDDKC4uRmZmJioqKlBRUSGXKSwsxJo1a/DYY4/hxRdfRH5+Pp5//nnhOUbdtHE7fA9oOE6rUKFKrB1h6gHrKqvVVX4zyecD7Zrfn2o0GX1oe+b3iZq7ztEUVTetqPKoJnbv9bKD0GApTgUTMaoW8CoCItVTUcppS3vi1NOWeu1VUQET+1ENpKIR5bkiilgoo07gg3l1MLwe63O9yf2eDv42Cd1TK+C5ysx8CfD1X3fO1EmvpjU/8s6JcQNDlABGjvWkVRAXxuiAAQOwefPmqOW6deuGd999V7dM//79sWHDBt0ypaWl2LFjh6E+EgRBEARBEATRyqFoukKJC2M0XjETTdfO6GLhKVjkNl2yAt2y90Nsf0QqrVaVVSuKqtn9qVb2pbo1TY2blEaJM9KmW8YZD1YT3QMwvDJsNHouwDeORKqnopTTQHt8+04BE8qHzSoqwD9PG9mLGjq/unEPkSf+Q0AotrJZVUVb1Enzey9jkvrFwQj0QUSoqoG+WEgDw9l01DlTN4ou/x7TeI6mK/kYJJ1rJOntJyUiIGPURhIk5qrB5qa+BPEpXAHtcckVYdyaCe6h1hcrRqxTBqzTrsChbfJeXzcZdoFFJyPl3TcOg1hNyxCow9iDm9GHNOMpX8QZrFwpmHRc2FraE+fqK5c3GyjKTe6/CkPJPWPcI7UYom4ev3q05Gm2XlfQoLUerMicQWk+kJ7J3MgOzodaiAgQJWLrgNZcqVW/noHqJld8w5AyKhQyRgmCIAiCIAiCIHggY1QoZIzaiAd+eAy66bYF/CEOWHaotT6L6UQUdQlQV80kng9v3+h1MusO7LQrcKBN42qqmwIhWA1u4gaXY5EuZMaVM/42jbjniVIC5LY51FOnXX0DbRoPhuZW99/QeTYW6Zu08KiMcTe6EasRvIqiAhUB5tVVK4qqWTXVanAlp1PVqNdlbdsE7+eINn9pzZW6c6NOECQzzwuugYxRoZAxShAEQRAEQRAEwQHtGRULGaM2kiD5kSCRMgq0rMQD9qXlMLN6r4UIddWqqmpGUbWyN9XMvlSzKWoC7ZlXU922oipK3YxFonsgNvuZjKioZvahik/5ol9OlHIKgGvfaaBN4/vZ7N6LanQe1pprXbVnFNpKaIILf+JDn4NFKLgi1NWAQmmyfWYl9Yt5FTZW6V/C+2HVs4rnc0SbM/VTvWjUGUUxdZOHk2FIGRUKGaM24jERTbe1EJ671M5Jx6jLmR6iDFqjLmqKc00asWbdga24AlvJsxrXP0QhBH7oxT2AhCMy+qKoOsPrNRNQxJC7rQ1Gq0iDVZSxytteS5sGXJxNPNg6YbhqzTtuCriXIEU3OmP1W+9TuQdEGsg+Zs2gtWLImnULNmO8hrbntAEbitX8zqH9MTJvRu23xmH9wEXq7QfnwngNBgYgcJPpXTN/HH+2GBAv2x4IgiAIgiAIgiBiS1AZ1XsZ4Omnn8bNN9+MtLQ0dO7cGd/5zndw4MCBsCYZZs+ejfz8fKSkpGDIkCHYu3evokxjYyN+/vOfIzs7G6mpqRgzZgyOHz+uKFNXV4fx48cjIyMDGRkZGD9+PM6fP2/qMoiClFEb8YC5zp3QTvwIXdGzV/UKVV5FKGyi1FUryqoV12DDKRRgLV2Nz2BKCPk8C3lWAWtuwXYRvsJr52pvNIVAbTHWjv4EVt0dUg84i/IqAbzqKa+7nSjlFBCvnirbN6he2xhEiWe+dVPahwRIhpRPO1f5w6+KXYpsUHE1q7IGXYXNXAuraqoZJdVKe2bPVatHxJYP0Z4nWsqpbju6uUgDx+L6+Zj5Ab/OdWPG5q/169fj4Ycfxs0334zLly/jiSeewIgRI7Bv3z6kpqYCAH7zm99g4cKFWLZsGXr16oW5c+di+PDhOHDgANLS0gAAjz76KFatWoWVK1eiY8eOmDZtGu655x5UVVUhISGQhG7s2LE4fvw41q5dCwD42c9+hvHjx2PVqlUmLoQYyBglCIIgCIIgCILgwc+gu1Jq0E03aBgGWbp0KTp37oyqqircfvvtYIxh0aJFeOKJJ3DvvfcCAF5//XXk5OTgjTfewMSJE1FfX48lS5bgv//7v3HnnXcCAJYvX46CggK89957GDlyJPbv34+1a9di8+bNGDRoEADg1VdfRUlJCQ4cOIDevXsb6rcoyBi1kdYcwMinEmDDiVUuM/ue9DCTFkG1HovKqtHk8y3tmrseZpRUwLyaaiWwEhCpqLpLNVHf+yIiubxR7G7TqoJgNMARYMP+T071VFS7vMopEP2+lj0DDKgegNm0L0a+Y/H7UN3k/aAXwMgsPM8GPhVXP6dUVyuKqw/MkqLqpJrqdGAlrT6ITb3DN3cBnJ4fKuM76hypdShkXLtpjBuG+fXVT4PKaDj19fUAgKysLABAdXU1ampqMGLECLmM1+tFaWkpNm7ciIkTJ6KqqgrNzc2KMvn5+SgqKsLGjRsxcuRIbNq0CRkZGbIhCgC33HILMjIysHHjRjJGCYIgCIIgCIIgXA1nNN2GhgbF216vF16vN0rVDBUVFfjmN7+JoqIiAEBNTQ0AICcnR1E2JycHR44ckcskJycjMzMzokzw/JqaGnTu3Dmizc6dO8tlYgEZozYS99HCQgiPyOnkipYyLYy462kmLUI4VpVVK4qqGTXVipIKmIvwa6a98HbDP6ebIq95JH1FsjXMAVaS3ZtRU40oBbxJ7WOhnopSTgHjkWoD8I8UJ1RUEXNuLEiQpJh4OTnVZlCBtTqvtqiT5vptRlE1uzc1FlF+I/pgwdMkHOfnTO1xzLvHNK5/GznddAsKChRvz5o1C7Nnz9atesqUKfj3v/+Njz/+OOKYFDYnMMYi3gsnvIxaeZ567ISMUQdxk2uhFn6NKd3pSSPU+BVp+Io0bK08WFkxYi25BEvGHzfMpqkx6wocRC9VjZseaD0ci05uMp6NYDW/oNlgIsaCb/AZmCLdboHo96AoYzXYpjkjke8c3sBJVvtkxGh10++lBxI8rTBNm18OUmT9s/kYMz3PmTVizboDW0lX44fIYEWWqlFsS3RyztSbt4y49UouSt9kGD+D7vaEK1/OsWPHkJ6eLr8dTRX9+c9/jnfeeQcbNmxA165d5fdzc3MBBJTNvLw8+f3a2lpZLc3NzUVTUxPq6uoU6mhtbS0GDx4slzl9+nREu1988UWE6uok8fqMRBAEQRAEQRAE4SycqV3S09MVLy1jlDGGKVOm4K233sIHH3yAwsJCxfHCwkLk5uZi3bp18ntNTU1Yv369bGgOHDgQSUlJijKnTp3Cnj175DIlJSWor6/H1q1b5TJbtmxBfX29XCYWkDJqI4HULnyru7Fyew0n1qvRRgN08GLGBU21HgHKqllF1Wk11WqaGquqsZ6qakVxFQ1vcBORiejtxkpahiBGFQSjaoGo4CGh7YtyuwXEKKe8bYa3b1yxNDEv2NSnoILqtrQPdqVQiQXBtC0i1F4r6qpZ92Ar7sBW1FTAmqIaJFbKKu+cGVU91WhXa67i3foQV/j90FdGjX3ehx9+GG+88Qb+7//9v0hLS5P3b2ZkZCAlJQWSJOHRRx/F/Pnz0bNnT/Ts2RPz589H+/btMXbsWLnsQw89hGnTpqFjx47IysrC9OnT0b9/fzm6bp8+fTBq1CiUl5fjlVdeARBI7XLPPffELHgRQMYoQRAEQRAEQRAEH5wBjHh56aWXAABDhgxRvL906VKUlZUBAB5//HFcvHgRkydPRl1dHQYNGoTKyko5xygAPPfcc0hMTMT999+PixcvYtiwYVi2bJmcYxQAVqxYgalTp8pRd8eMGYMXXnjBUH9FQ8aojQRSu8S6F5G4LZy2Um0U17fQ/a+iViKtXDtzKRMCOKmmWg2qFGjP3jQ1blplTZCMqZ5uV1ispGWQ6zC4J8uIimpEFeANEMId/IPnunBUIzrFDMCfqiGiHy5SUUP746bfqVAFMV73jvpDvgMRc5AVddWqmmot9YvxfamAec8WEV4mQawGXeKdM/Xq15ordT1LVN6Oe7XUFyW1i0FllHEYr5IkYfbs2boBkNq1a4fFixdj8eLFmmWysrKwfPlyQ/2zGzJGbaQ1RdMVjV0BiuT6TUWejESE27BVQ9ZI4I9QTAdYMuXC5KwBazZfqR0kQDL9cOemTftWI2ECxh/cjD6oGTVaRTx8hdbHY9RyGY9RivC6+raU5zdaAeOGq9lIu0YNV7dG2gwPYBRP+cNbXGHF9Fk2JC1EzDXbFz+Y4WtvJVJwYL6JTb7ViLqcCrqkc33NbI3QnBMFb7NwGsb8YDrGqN4xIhIyRgmCIAiCIAiCIHhgTBnOWO04wQ0ZozYiSczQanVrJ7gaD9i3IiYqUBEgRl01kzJBbt/kZzHrDuw3qMbI7cHjeIqaWAfaCoU3gFE0YqG2+EJ+MK0GKwJMqAgG5kcjygCvEiBSPeVVTgFE/13gvCxGFdTAOcZVVGfSvijLuymAkVaeUY+rfBuU+BF0dxYzr4hQWP1gpoMOmWnbjJIqtxmDVDURfQj1FLDgJszzObhcgDWupdb8qDsnShzzoJthDLoTNRmjhiBjlCAIgiAIgiAIggefD5B82seZzjEiAjJGbSQBfiREL9Zq8YWtx9m1CiZacRUbrMjCHkoTagRgPvWLU0oqYF5NdTOilU3RgVL8Kt+v1T47kZrBzD5UXiVAlHoqSjltac+elC+A/SpqoA3re1HdND94rvynfTy2e0jVxrZI1dYPv6W5wqyqanZ/aiyDKwXatYbT+/d55kyt+VJrftSbE4NzYVzvGfX7wXTmKNozagz3+piosHr1agwaNAgpKSnIzs7Gvffeqzh+9OhRfOtb30Jqaiqys7MxdepUNDU1Kcrs3r0bpaWlSElJQZcuXfCrX/0qIorV+vXrMXDgQLRr1w5XX301Xn75Zds/G0EQBEEQBEEQLieY2kXvRXATN8rom2++ifLycsyfPx933HEHGGPYvXu3fNzn82H06NHo1KkTPv74Y5w9exYTJkwAY0wOcdzQ0IDhw4dj6NCh2LZtGw4ePIiysjKkpqZi2rRpAIDq6mrcfffdKC8vx/Lly/HJJ59g8uTJ6NSpE+677z5DfY73lR+j+MJW8ewO2x1UXkUprmZSI0T2yZo6CZhXU82GewfM7Us1G+EXMH9vmElVYzfh+8nsUkmMqIhq2KG0OpOaga8N0UoAwKeeilJOg3WJVE9b2je57zOGe1Hd9NsZHk1XjwTJmTV+X4jyYtec45cVRnOfycq+1cA8YU7ZdHJfarBNIHaeJpH94VdVeSL+as2XuvMjx/5SN41xw/iZfswDMkYNERfG6OXLl/HII4/gt7/9LR566CH5/d69e8v/rqysxL59+3Ds2DHk5+cDAJ599lmUlZVh3rx5SE9Px4oVK3Dp0iUsW7YMXq8XRUVFOHjwIBYuXIiKigpIkoSXX34Z3bp1w6JFiwAAffr0wfbt27FgwQLDxqinDQQwciIoUThm3M3067Nu1Fo1ZI0G/FCcayLQkpWUNWb6aiXHKhBpxLorgFHkg2qscok60a6VYCKAsQc2XsNV9MNXoG3zrmvK9pxPMRNaFjA2t5nOV2ogDQ1PnyQX/XYmSB5hRqYZw86vcm3tMnpFGLlWjFinDVgrqWqsGLCqfRCw1cPIYh/PvKk7X+oO0ehGKs+86FaYzw+ms2eU3HSNERduujt27MCJEyfg8Xhw0003IS8vD3fddRf27t0rl9m0aROKiopkQxQARo4cicbGRlRVVcllSktL4fV6FWVOnjyJw4cPy2VGjBihaH/kyJHYvn07mpubbfyUBEEQBEEQBEG4GuaP/iK4iQtl9PPPPwcAzJ49GwsXLkSPHj3w7LPPorS0FAcPHkRWVhZqamqQk5OjOC8zMxPJycmoqakBANTU1KBHjx6KMsFzampqUFhYqFpPTk4OLl++jDNnziAvLy+if42NjWhsbJT/bmhoAND63HTD3XAB50Jz26HAilBYRamqzrvYOhtYyYrqC0QqqrFI+6A1zj2QNFeXYx3YRCRWFQQj18KwUsDhEsUbFITX3VeUchpok8/VF5z1mcWo+y9gbP4yoqDavc1DDb0xHss0Lk603aJImm8rqKpaUVSdUlOtpqox6w6s6IMgZTXYH4DvGvC6A+spp3qKKa9br5vSNxmF+RmYzlwZHouG0Cemxujs2bMxZ84c3TLbtm2D3x+YaJ544gnZVXbp0qXo2rUr/va3v2HixIkAAEllEDLGFO+HlwneMEbLhPL000+rfo4vv2xdKyNqxqhThBqjohDxeUQE72YmP5vZ/vtMzpFqERu52rMSEVBjQv/6y8CVd3LC1xrnF3TGeWs0Rp0412h5rftEWSdnXbyGFUcx3jb9HPeJXn51LYyOPTNj1cjcbKT+r66MKzeM8YZW9luuhpXxHcRnUQ0y2wc1N+Zo8MwZ+m1av14i6jBTF+9n17uqevOk1twYXt+XMRjjorjMGnXVz8sgT0ojxNQYnTJlCh588EHdMj169MCFCxcAAH379pXf93q9uPrqq3H06FEAQG5uLrZs2aI4t66uDs3NzbLSmZubK6ukQWprawEgapnExER07NhRtY8zZsxARUWF/PeJEyfQt29fDBtUq/vZCIKwxoULF5CRkeFIW+HjvLq6GjfeeCOKimt0ziIIwgpuGOPdBxx2pH2CaIs4OcatkpycjNzcXHxcsyZq2dzcXCQnJzvQq/gnpsZodnY2srOzo5YbOHAgvF4vDhw4gG9+85sAgObmZhw+fBjdu3cHAJSUlGDevHk4deqU7EpbWVkJr9eLgQMHymVmzpyJpqYm+QaprKxEfn6+7L5bUlKCVatWKdqvrKxEcXExkpKSVPvn9XoV+1A7dOiAffv2oW/fvjh27BjS09MNXJXY0dDQgIKCAuqzzcRbn93YX8YYLly4oNgjbjfh4zw49xw9ejRufkjd+F1Gg/rsDG7rM41xc7jte+SB+uwMbutzLMa4Vdq1a4fq6uqItJFqJCcno127dg70Kv6Jiz2j6enpmDRpEmbNmoWCggJ0794dv/3tbwEA3//+9wEAI0aMQN++fTF+/Hj89re/xblz5zB9+nSUl5fLg27s2LGYM2cOysrKMHPmTBw6dAjz58/HU089JbvgTpo0CS+88AIqKipQXl6OTZs2YcmSJfjzn//M3V+Px4MuXbrIfXfDoDcC9dkZ4q3PbutvrB8OPR6P3A83XRce3PZd8kB9dgY39ZnGuHnc9D3yQn12Bjf1OdZj3Azt2rUjI1MwcWGMAsBvf/tbJCYmYvz48bh48SIGDRqEDz74AJmZmQCAhIQErF69GpMnT8att96KlJQUjB07FgsWLJDryMjIwLp16/Dwww+juLgYmZmZqKioULjlFBYWYs2aNXjsscfw4osvIj8/H88//7zhtC4EQRAEQRAEQRCENnFjjCYlJWHBggUK4zKcbt264d1339Wtp3///tiwYYNumdLSUuzYscNUPwmCIAiCIAiCIIjoxEWe0XjE6/Vi1qxZiv0nbof67Azx1ud4669TxON1oT47A/W5dRCP14T67AzUZ4IQh8TiMaYyQRAEQRAEQRAEEdeQMkoQBEEQBEEQBEE4DhmjBEEQBEEQBEEQhOOQMUoQBEEQBEEQBEE4Tps0RmfPng1JkhSv3Nxc+ThjDLNnz0Z+fj5SUlIwZMgQ7N27V1FHY2Mjfv7znyM7OxupqakYM2YMjh8/rihTV1eH8ePHIyMjAxkZGRg/fjzOnz+vKHP06FF861vfQmpqKrKzszF16tSIZLq7d+9G9+7dLfX53Llz+PnPf47evXujffv26NatG6ZOnYr6+npFWz169Iho55e//GVM+gwAQ4YMiajjwQcfdO11Pnz4cMT5wdff/va3mFznt956CyNHjkR2djYkScKuXbsQjtP3c2lpKVJSUtClSxf86le/gh1b1+NtnP+v//W/aIzTGKcxboB4G+P0W+7MOLc6l9IYd88YJ9oIrA0ya9Ys1q9fP3bq1Cn5VVtbKx9/5plnWFpaGnvzzTfZ7t272QMPPMDy8vJYQ0ODXGbSpEmsS5cubN26dWzHjh1s6NCh7IYbbmCXL1+Wy4waNYoVFRWxjRs3so0bN7KioiJ2zz33yMcvX77MioqK2NChQ9mOHTvYunXrWH5+PpsyZYpcpr6+nuXk5LB+/fqxa6+9lv3xj39kqamp7KmnnjLU5927d7N7772XvfPOO+yzzz5j77//PuvZsye77777FNeme/fu7Fe/+pXi2ly4cCEmfWaMsdLSUlZeXq7oz/nz5xV9dtN1vnz5sqKvp06dYnPmzGGpqamK6+jkdf7Tn/7E5syZw1599VUGgO3cuZOF4/T9/OCDD7Ldu3ezN998k6WlpbEFCxZE9Mkq8TbOU1NTWUZGBvvwww/l73L27Nnc/aUxTmOcxri7xzj9ljszzq3OpTTG3TPGibZBmzVGb7jhBtVjfr+f5ebmsmeeeUZ+79KlSywjI4O9/PLLjDHGzp8/z5KSktjKlSvlMidOnGAej4etXbuWMcbYvn37GAC2efNmucymTZsYAPY///M/jDHG1qxZwzweDztx4oRc5s9//jPzer2svr6eMcbY73//e5aRkcGeeOIJuc9PP/00y8/PZ36/n7vPavz1r39lycnJrLm5WX6ve/fu7LnnntM8x+k+l5aWskceeUSzP/FwnW+88Ub2k5/8RPGeU9c5lOrqatUfsVjcz5cuXZLL6PXZCvE2zr1eL7v++uvlMqHXhcY4jXEa45HE2xin3/JHNPvj9rmUxnhsxjjRNmiTbroAcOjQIeTn56OwsBAPPvggPv/8cwBAdXU1ampqMGLECLms1+tFaWkpNm7cCACoqqpCc3Ozokx+fj6KiorkMps2bUJGRgYGDRokl7nllluQkZGhKFNUVIT8/Hy5zMiRI9HY2Iiqqiq5TGlpKRITE+U+L168GCdPnsSGDRu4+6xGfX090tPTkZiYqHj/17/+NTp27Igbb7wR8+bNU7hnxKLPK1asQHZ2Nvr164fp06fjwoULiv64+TpXVVVh165deOihhyKOOXGdeYjF/Rya52zkyJE4efIkDh8+zN1nXuJpnHfv3h2fffaZ3N8PP/xQvi40xmmM0xhXJ57GOP2WOzPORc+lNMZjO8aJ1k9i9CKtj0GDBuFPf/oTevXqhdOnT2Pu3LkYPHgw9u7di5qaGgBATk6O4pycnBwcOXIEAFBTU4Pk5GRkZmZGlAmeX1NTg86dO0e03blzZ0WZ8HYyMzORnJysKNOjRw9Fn/fu3Ysf/OAHuPfee3Hw4EGuPodz9uxZ/Nd//RcmTpyoeP+RRx7BgAEDkJmZia1bt2LGjBmorq7GH//4x5j0edy4cSgsLERubi727NmDGTNm4NNPP8W6devi4jovWbIEffr0weDBg2NynTt27Kjar1BicT+HtxM8VlhYGLW/vMTbOL/66qsxf/58ub9PPfUUAODAgQNIT0+P2t9waIzTGA9CY1zZF/otb93jXPRcSmM8dmOcaBu0SWP0rrvukv/dv39/lJSU4JprrsHrr7+OW265BQAgSZLiHMZYxHvhhJdRK2+2TGifs7Ky5H+b6XNDQwNGjx6Nvn37YtasWYpjjz32mPzv66+/HpmZmfje974nr/453efy8nL530VFRejZsyeKi4uxY8cODBgwwFB/nOpzkIsXL+KNN97Ak08+GXHMqetcUVERUQcvdt7P4ce1zrVCvI3zbt264b777pP72717d/Tq1Qv//Oc/8cADDxjqL41xe/schMY4Xxka4y1l6Lfc/nEuci6lMc5Xxq4xTrQN2qybbiipqano378/Dh06JEcvC64ABamtrZVXfnJzc9HU1IS6ujrdMqdPn45o64svvlCUCW+nrq4Ozc3NumVqa2sBAH369OHuc5ALFy5g1KhR6NChA95++20kJSXpXRr5h+azzz6LWZ9DGTBgAJKSknDo0CG5LTdeZwD4+9//jq+//ho/+tGPND9PELuuMw9uuZ/1vncRxNs4//LLLwEAZ86coTFOY1yzzzzE+l6mMU6/5eE4Oc7NzqUAjXGjfbZ7jBOtEzJGEQiHvX//fuTl5cluJEHXEQBoamrC+vXrZReNgQMHIikpSVHm1KlT2LNnj1ympKQE9fX12Lp1q1xmy5YtqK+vV5TZs2cPTp06JZeprKyE1+vFwIED5TIbNmxQ7EOorKxEXl4eDh8+zN1nILCKOmLECCQnJ+Odd95Bu3btol6bnTt3AgDy8vJi0udw9u7di+bmZkV/3HadgyxZsgRjxoxBp06dND9PELuuMw9uuJ/z8/Mj3H5EE2/jfM2aNfB4POjVqxeNcRrjmn3mIdb3Mo1x+i0Px8lxbmYuDUJj3F1jnGil2BIWyeVMmzaNffTRR+zzzz9nmzdvZvfccw9LS0tjhw8fZowFwn5nZGSwt956i+3evZv94Ac/UA0H37VrV/bee++xHTt2sDvuuEM1hPb111/PNm3axDZt2sT69++vGkJ72LBhbMeOHey9995jXbt2VYTQPn/+PMvJyWHXXXcde+2119hLL73E2rdvz/r06WOozw0NDWzQoEGsf//+7LPPPlOEIg/2eePGjWzhwoVs586d7PPPP2d/+ctfWH5+PhszZkxM+vzZZ5+xOXPmsG3btrHq6mq2evVqdt1117GbbrrJtdc5yKFDh5gkSeyf//xnxP3n9HU+e/Ys27lzJ1u9ejUDwFauXMl27tzJTp06FbP7+Qc/+AHbvXs3e+utt1h6erotIeHjbZy3b9+eDRs2jP3zn/9kzzzzDEtMTGRer5fGuMBrTGOcxjj9ljvfZ6fHudW5NAiN8diPcaJt0CaN0WBOqaSkJJafn8/uvfdetnfvXvm43+9ns2bNYrm5uczr9bLbb7+d7d69W1HHxYsX2ZQpU1hWVhZLSUlh99xzDzt69KiizNmzZ9m4ceNYWloaS0tLY+PGjWN1dXWKMkeOHGGjR49mKSkpLCsri02ZMkURLpsxxv7973+z7OxsBoABYGlpaYb7/OGHH8rnh7+qq6sZY4xVVVWxQYMGsYyMDNauXTvWu3dvNmvWLPbVV1/FpM9Hjx5lt99+O8vKymLJycnsmmuuYVOnTmVnz5517XUOMmPGDNa1a1fm8/kijjl9nZcuXar6vc+aNUsu4/T9fNtttzGv18tyc3PZ7NmzbQkHH2/jfNSoUSw5OZkBYB6Ph/Xp04ft2bOHu780xmmM0xh39xin33JnxrnVuTQIjfHYj3GibSAxdmXXMUEQBEEQBEEQBEE4BO0ZJQiCIAiCIAiCIByHjFGCIAiCIAiCIAjCccgYJQiCIAiCIAiCIByHjFGCIAiCIAiCIAjCccgYJQiCIAiCIAiCIByHjFGCIAiCIAiCIAjCccgYJQiCIAiCIAiCIByHjFGCIAiCIAiCIAjCccgYJQiCIAiCIAiCIByHjFGCIAiCIAiCIAjCccgYJQiCIAiCIAiCIByHjFGizfKnP/0JHTt2RGNjo+L9++67Dz/60Y9i1CuCIERBY5wgWjc0xgki/iFjlGizfP/734fP58M777wjv3fmzBm8++67+PGPfxzDnhEEIQIa4wTRuqExThDxDxmjRJslJSUFY8eOxdKlS+X3VqxYga5du2LIkCGx6xhBEEKgMU4QrRsa4wQR/5AxSrRpysvLUVlZiRMnTgAAli5dirKyMkiSFOOeEQQhAhrjBNG6oTFOEPGNxBhjse4EQcSSgQMH4nvf+x5GjhyJm2++GYcPH0ZBQUGsu0UQhCBojBNE64bGOEHEL4mx7gBBxJqf/vSneO6553DixAnceeed9ANGEK0MGuME0bqhMU4Q8Qspo0Sbp6GhAXl5ebh8+TL+9Kc/4YEHHoh1lwiCEAiNcYJo3dAYJ4j4hfaMEm2e9PR03HfffejQoQO+853vxLo7BEEIhsY4QbRuaIwTRPxCxihBADh16hTGjRsHr9cb664QBGEDNMYJonVDY5wg4hNy0yXaNOfOnUNlZSXGjRuHffv2oXfv3rHuEkEQAqExThCtGxrjBBHfUAAjok0zYMAA1NXV4de//jX9gBFEK4TGOEG0bmiME0R8Q8ooQRAEQRAEQRAE4Ti0Z5QgCIIgCIIgCIJwHDJGCYIgCIIgCIIgCMchY5QgCIIgCIIgCIJwHDJGCYIgCIIgCIIgCMchY5QgCIIgCIIgCIJwHDJGCYIgCIIgCIIgCMchY5QgCIIgCIIgCIJwHDJGCYIgCIIgCIIgCMchY5QgCIIgCIIgCIJwnP8PnrYQ54OmqnkAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1000x300 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dgm_velmod_cube[\"Vinst\"]\\\n",
    "    .thin({\"x\": 100}).plot(x=\"y\", y=\"z\", col=\"x\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.plot.facetgrid.FacetGrid at 0x7ffb1ad6c690>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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xGDRoEDZv3owf/ehH4vbNmzfjBz/4gfqMBEHiziHEaKiEYVVBS2HhscMIrKbrFw1oucd2dQuKGDa6HjEOY43ThL6luTqmqJjXWoe1x3Ow9RDFfdyidnLNvROjDTuprRrbnHXvCPmCBOYBwk+9tCVNzI0mhfivTeQZpAkyRmUoLi7G+PHjkZeXh/z8fPzxj3/E8ePHMXnyZPWZxDhajAjNQYuj/OOWF9d0h46iLwmbGcMCcwNXI12LZgTB+9NLDMcPGt3B0Tm3xWvUaKOPf+uI6j7Os08rQYshaCcKXUJVoaXN6Wo3Oh5+Yd8D0XsvSBnlCxmjMvzkJz/B2bNn8dRTT+HUqVPIzc3Fxo0b0a1bt0hXjSAIgiAIgiCICOABg5uMUW6QMarAlClTMGXKFN3HCw4HBJ2KEvMYUATNGJWN2AhslEoRZihDdnIJijTMPtdCiImBoFcys4myYeh5EwqrlCGzsMl9adVEYx+ndtO6sJPKamLb0/1+CPceYPbyuNICKaN8IWOUIAiCIAiCIAhCBU2MhZkzSsaoFsgYNZOYGO8kIx2jSkJMdCstRuCu0kSCaFeGZBAc9hjJFJiNFHOHwz5zanX2Hd3Pm0CugecPYQ+oj4fhWnhPRgqbvMciglXfoyreBUIUK6PuMG66SvuIYMgYJQiCIAiCIAiCUIGbKa8lSuuMaoOMUTPxReDTOqpkJ3UhAqOv3FQaq7HyvtlprkpEsNH5Oxz6RtrNmFds0gj2NQ0pTDYlivp4JKJHR+t78lok0vEctLQ/O70j7OT9oBFP809pP6EeMkZNRHDE6DQadD7Y7PJxq5fW/lEcTUTaGLbRS0wQdAYq43wKTPcySBzuZTQv5UIf9fYkmvq4xVXV39cJH3qDS9oSDe1PX9vR+I5Q/T6w0YCTRq4yAU0KQdau2igAWzRAxihBEARBEARBEIQK3BDgVjCmlfYRwZAxaiYOwauOasGIwmAbpUUvUdp5I6kKRdo9KFJ4bHTeMRrddE3yABBMWZRcJfYRscJCqlKUYPc+HkFPHl19nTCXSHkLaWyHmtuOnneEyiIET/S2YzJG+ULGKEEQBEEQBEEQhAo8TIBHwRVXaR8RDBmjZuJwaB8t07skiAmjtJaNvkbzfDMgqlQhU4iAOqtqAXqr8AUq05KeN3r7v9EliKJwnjepStGB7ft4JJSwKOxvtiXScQ94oeU89LQfPe8I1eVE7z0gZZQvZIyaicMBaHHTNRLVkeeD1eoXXjSvyWmXj4Nr5cWqFjudb0yM+n5ul/YC8Ikia6f7oISdrjuhDju1Lf8+Tm2JUMKqdmtFO9T7jlB9DaI3iNRVFoMmhXVSKYCRNsgYJQiCIAiCIAiCUAEpo3whY9RMtLrv6V1iIBpHaq+Vtf3sNHpvF/SsuakVW7nwQX074N1ejPR9o0uaRONzh4ge7NrHoyRQDaGSaH2H66m31jZk+pqk0auMupkDbgVl1E3dVRNkjBIEQRAEQRAEQajAAwEeBWPaA7JGtUDGqJk4BGuWfIjG+aLRvtC8XUepo3WUVyt2Ok+1S7uYEajLyHUw2obtdA/ksGs/JcJjp/YV40DEg63Y6XoQypgZ1M/Ie8TsYEday4h0nzJAI4tBHJP/jm3UePnmzZuH+fPnS7ZlZmaiuroaAMAYw/z58/HHP/4RtbW1GDx4MF566SX06dNHTN/Q0ICZM2firbfewuXLlzF8+HC8/PLL6NKli5imtrYW06dPx3vvvQcAGDt2LJYvX44OHTpoqzBnolcjJwiCIAiCIAiCsBCvMqr800qfPn1w6tQp8VdRUSHue/bZZ7F06VK8+OKL2L17N7KysjBixAhcuHBBTPPYY49h/fr1WLt2LbZt24aLFy9izJgxcLvdYppx48Zh37592LRpEzZt2oR9+/Zh/Pjxxi4GB0gZNROHoHGETMcoEW+1xYrR12tBraBRanWYdp1sdP3Vzg3nHTXacD/SWZ9oWoqJ+mkUY6N7J2j0cuLNtfDOtDPR9Jww8h7R1I4s+B6NpusegAcOuDm76cbGxiIrKytoO2MMy5Ytw5w5c3DfffcBAN544w1kZmbizTffxKRJk1BXV4cVK1bgr3/9K+666y4AwOrVq5GdnY0PP/wQhYWFOHToEDZt2oQdO3Zg8ODBAIDXX38d+fn5OHz4MHr27Km5zrwgY9RMHFqWfNAZ0IfXB66lL7vofQBFzYd4BNb+tBYbnZ+apV1McdE1cKze5w1g/6WY6MP9GsFG7UxweH8RKz9yRRM64f0O5vEOUVslq75HI9mnDBI+gJH3ftXX10u2O51OOJ3OkMd8+eWXcLlccDqdGDx4MBYtWoTrrrsOlZWVqK6uxsiRIyX5FBQUYPv27Zg0aRLKysrQ1NQkSeNyuZCbm4vt27ejsLAQpaWlSE5OFg1RABgyZAiSk5Oxffv2iBqj0dsSCIIgCIIgCIIgLKSJxYT9AUB2djaSk5PF3+LFi0PmN3jwYPzlL3/B//7v/+L1119HdXU1hg4dirNnz4rzRjMzMyXH+M8pra6uRnx8PFJSUhTTdOzYMajsjh07imkiBSmjZqLJTVdnQB9eiotVI69GFBk7YHdVyO4ojYRqaRt2cu9R46ZrOxddjc+baPEIAEhFumawUZC7wCBlDY3hj3HG8ymblH5rsNM7JRRG3yGa2lFz37vSYKzMcHjc4dPYFHcYN113s5tuVVUVkpKSxO1yqujdd98t/rtv377Iz8/H9ddfjzfeeANDhgwBAAgBbZQxFrQtkMA0odKrycdsSBklCIIgCIIgCIJQgYc5wv4AICkpSfKTM0YDSUxMRN++ffHll1+K80gD1cuamhpRLc3KykJjYyNqa2sV03z77bdBZZ0+fTpIdbUaUkbNRFC55IOhhes5jGaYPfJ69aq5+dsNDwtWxNXOHeZNKGU+kveDGRwJjW1+ZAk2Uk3C9XO9/atRhfpiF+LiIlt+4DVubc8cILSyE9VLaNlIqWpqkvZxNR5PTU3m1YfwEk0eG3ZC7TvJbLXMRl1cK2qVUb00NDTg0KFDuO2225CTk4OsrCxs3rwZAwYMAAA0NjZiy5YteOaZZwAAgwYNQlxcHDZv3owHH3wQAHDq1Cns378fzz77LAAgPz8fdXV12LVrF773ve8BAHbu3Im6ujoMHTrUUH2NQsaomaiNsqm3wxs1Iq16WUZS/o+Ei1OoD5Vw7ihGP+bl7qXP89X/HtjdHUkJX4hyO7n3NDUCbhOuaTTdJ17Gn55+EKrtR9O1MxO3yn5ix0AidjI01L7LiWDMfAdf84H6DKDUf+zQlqPc/fwqHOK80ND7tZ3fzJkzce+996Jr166oqanBggULUF9fjwkTJkAQBDz22GNYtGgRevTogR49emDRokVo27Ytxo0bBwBITk7GI488ghkzZiAtLQ2pqamYOXMm+vbtK0bX7dWrF0aNGoWioiK89tprAIBf/epXGDNmTESDFwFkjBIEQRAEQRAEQagifDRdbQN833zzDX7605/izJkzyMjIwJAhQ7Bjxw5069YNAPDEE0/g8uXLmDJlCmprazF48GCUlJSgffv2Yh7PP/88YmNj8eCDD+Ly5csYPnw4Vq1ahRg/D5k1a9Zg+vTpYtTdsWPH4sUXX9RUVzOIGmN04cKF+OCDD7Bv3z7Ex8fj/PnzQWmOHz+OqVOn4uOPP0ZCQgLGjRuHJUuWID6+JZBARUUFpk2bhl27diE1NRWTJk3Ck08+KZm8u2XLFhQXF+PAgQNwuVx44oknMHnyZO2VjnF4f0oYGh3yG91q0KFyRmI0vDlITc1d2daXHQLBotH3jI+/UU5gVFlSOdJ5ZlgXY+WYgYpbkL7lpHSDnZQcE5d9OD+kU9A2pnCr3fHBOwW9TVzlcWn/Ohk+kVqu6lC8BQfOfd8VtDn2O5UBsZr7juS6Nv9b8j3h2yZJp67fKd0z3ajIM3Ubx3sTiOmqlA3Um2bq+3dCbFwbzcep6nsq+1n7fRZGu+QUaLDue5255MOD5F0nIl0FvoT7doyUaqz2myrKvQ08EOBReEYp7QvF2rVrFfcLgoB58+Zh3rx5smnatGmD5cuXY/ny5bJpUlNTsXr1ak11s4KoMUYbGxvxwAMPID8/HytWrAja73a7MXr0aGRkZGDbtm04e/YsJkyYAMaYeGPq6+sxYsQIDBs2DLt378aRI0cwceJEJCYmYsaMGQCAyspK3HPPPSgqKsLq1avx2WefYcqUKcjIyMD9999v6TkTBEEQBEEQBGEfeCujrZ2oMUbnz58PAFi1alXI/SUlJTh48CCqqqrgcnlHyZ977jlMnDgRCxcuRFJSEtasWYMrV65g1apVcDqdyM3NxZEjR7B06VIUFxdDEAS8+uqr6Nq1K5YtWwbA62O9Z88eLFmyRLsx2tQEuC1qkEZHwQJGs2ru4jOiaYoi0IzcqHOoMgWZgV6m47oJOtTs08PVKZIZH/NRMk7fGawUmYZRcVnFLTg9THo+noYrwDGD5XKidrA+1cSfq+oC7IUknPqi2AeVjlXZNc7ezqetpW07pSn92VuDVWN/mhJbnr2xl8NcJCG0CgoEK6GhFFSt+OehW7lWQSjFWKxD8/mqve5nblO43jLXwWHA4cPdeAWo1H88T5hD0PSu8N1T5b7XnEgmjSfAyyGUl4ThZ280orPPnc/X9k2j5tsl7HNFBVfbqvtGDFef1G1hvK8AnPu+9DtE7bPnahtfHZorEdJLJOD/zbStkfd2udp0BYhSwTp8ACMyRrVwzVyt0tJS5ObmioYoABQWFqKhoQFlZWVimoKCAklo5cLCQpw8eRJHjx4V0/h8qf3T7NmzB00yQWIaGhpQX18v+REEcW1B/Zwgrm2ojxMEoYarLAZNCr+rCsGNiGCiRhkNR3V1ddA6OSkpKYiPjxfX5qmurkb37t0laXzHVFdXIycnJ2Q+mZmZuHr1Ks6cOYNOnYJHJxcvXiwqt5Hm2+EuO021acFonUKM4MmOFIZKGzDsYkSNYCrnOZy/SXshtb2lSkaoc0w5pFeO0XdYWAzcWz0qMxB8P61Arp9fTRDAQszVNHq91V6bsCP4OtRPLf1Dt/dDQBmKyptBmhL5PBTNUDHN9B5Rw9nvq7vuIc/diCofhkhcF7k+zmK8PzUIHpV9UhDgMboikh3f9dECh/mKXJ4rnO7hudu0x4NQ28dixFXGWjp8U1sVKimAS1nyHcfdGL0Gm/9aonL7CfVE1BidN29eWCNu9+7dyMvLU5WfEOLhwhiTbA9Mw5o/+LSm8WfWrFkoLi4W/66vr0d2djZq7uiEmHiN7nsmvFz0vNQNuf4pZqwiTaiy5T6aQ7nfqiiD1we0P+d7WeMzVdubBZ1jh4NqlhDiXxejH+dqDXtexxlBrp8zQaY9hali+D6mpiGHTyJvcMofrLp/cIq/pumwCLomcjGQriXXShO7YSS+5WT7eKwAT5y/77b1dQskkv0gklg6SMGhLK715ZmXwfYTykW5sb22CkZ6IM4IbghwK9wQpX1EMBE1RqdNm4aHHnpIMU2gkilHVlYWdu7cKdlWW1uLpqYmUenMysoSVVIfNTU1ABA2TWxsLNLS0kKW7XQ6Ja6/BEFce1A/J4hrG+rjBEGogZRRvkTUGE1PT0d6ejqXvPLz87Fw4UKcOnVKdKUtKSmB0+nEoEGDxDSzZ89GY2OjuNxLSUkJXC6XaPTm5+djw4YNkrxLSkqQl5eHOI0LsjOHwdHdCA6saBmxMqSSqlRB5QMQqSyK1yhyQN30uOIaKz90eef7eLd3OCRzQUyqpuGRTZ31stVz3oHQs+/NCizkjxpBXDbQl8LBHMsPeVgIVfb0EHXLumTsiJBrl0nPkGjEElXORtcpyPvBBG8jrUSzqmQHuFw/uymnWuBYrq9tx18MbuQNSfIF2eo9rpEm5kCMgu9+E6flkVoLUdMUjh8/jn379uH48eNwu93Yt28f9u3bh4sXLwIARo4cid69e2P8+PEoLy/HRx99hJkzZ6KoqAhJSUkAgHHjxsHpdGLixInYv38/1q9fj0WLFomRdAFg8uTJOHbsGIqLi3Ho0CH8+c9/xooVKzBz5syInTtBEARBEARBEJHHt7SL0o9QT9QEMPrd736HN954Q/x7wIABAIBPPvkEd9xxB2JiYvDBBx9gypQpuPXWW5GQkIBx48ZhyZIl4jHJycnYvHkzpk6diry8PKSkpKC4uFgyRyQnJwcbN27E448/jpdeegkulwsvvPCCvjVGBYSe3K0nnyhA1zkKzaNq4VQkv36tZ4SZ2+ijX9l1N1k78qXmHGp7y9dJVjXVCZeRfj33hek8ziT0zBkNe+30zq0OlUxDoC8t5fMIAnZmcOgI5UqczveuF5K+w2j0F43wiFWiM2CX3bBCzbHTt5y/l5Peds/1mkVBM6q5Q2FdH6WLGOY6dfw4TlU6HthFPfXHaJ2sDsIWSi314W6MgoYsA4MAj8LNZXb6SIkCosYYXbVqlewaoz66du2K999/XzFN3759sXXrVsU0BQUF2Lt3r9YqBiHnpmv4ARcNbdy/jkzm375Nfka7JAsN64hKE4TZbwQBqOtpM/eLMNfDd71q+wTUW+GtlHIgvCukFS66tQOkHzS+Mj2XrwIrDZbPiVD93HAAMAOBiVTXw6CbsJ77f/Z72o1POc7kNyFtp/kGKc+Pt0gE3uKKhd+OtrpWPAaWeV47G12a07c3P6PVdJRw9Vbc782/ZnhjyL0Zn8SHL19LXVTAbYCBQz61Iy63/CFTsZQP2/AfSDI0KMmvGlYTTv0kZVQbUWOMEgRBEARBEARBRJImFgMHzRnlBhmjJsKEMK5GnEaF7Da6FDRAqibwg8F1RGXL44jA7KWKhr3vel2hBKC2b4hgMgrHdKjQEVRGIb/a/gEuXoHnYqd1DUIo+4aVT05usrqDJHEo/9zgYAWDd9c8l+8tI3WHRlVEA2a4+EctFr5r7CQsSLwf9N5Hg9fu9K0Kbq8IXjYz41/8Pu9O3y7j0aDlnFSonnqOFZofRGeGN4Q8Lu1jA9GRuainJnQaAai761LgJr8/vNeEBTy8/NXTDh+25VYXvTCHzT5eNeBhAjwKLwelfUQwZIwSBEEQBEEQBEGowAMHPAoxYJX2EcGQMWoiqpd2MWEAxexBeEXBRY8ao2HOaFBaCxSHuhutU0STutaF3F5/PNn4vBzd+5RV1vP9Qo/aB7aFDl+0PHJ8Wdb2V5hHKFcnGw06hvSAMKB8qhV9VQ286lQ/Q9Wh9nuh52rZgXP5jUjZyVcd5S6+m91mzVyOJxKqrq36uNCicOla1kXfBTzjp4aKxapsmLJqZlCGGtB1T/QHKxJ0evf4H3du+JWQx6Z8nKBcuFosmnt6QUYJFQQWpIBCsi90fnUjvPkxJiD5Y30qqeFnpI36uFbcTIBb4cYp7SOCIWOUIAiCIAiCIAhCBeSmyxcyRk1EdskHGXxJme8PjceHzNPIyJXCsbK7dCpCoTaHPPdQ+ZvY5+t7hJg7yYlkGQVUNn2385K/66qSpQmMRCqUaygKx+iZs3q+X1P4uvgOVxz5Dn+8ZYSKBm0gUq1WxbMuz76KpZXUDmm5DjxU0qhbiiOgvudvDVaE5JSm5G1hVKJI9Dcb9XGjS7tonTd49lYT+rSh66njpC1QPbUf2/Lv88P95k8qqKSRXv3g4l0XvdmEuyZyr3BfFGgF9bR++KWg7UkfJ4atm9FrY6d54Vq5GiaA0VUKYKQJMkbNxNH8ayameX69uJSJ4Pdv+Bmhzf/3dVS5Dm84gIlYqAx6XAl1lhe0WYs7b5gi9VJ/o58havBjMjXAkORBYJ7nqjrIJ9ZobJoVHCnsN5laN2SHfaLBBLnjGwxOFO4S1A0MEaijFZCRUS+77/TpJMnftYMDrlGgu/guhaAmZjQtM2KYNNez7tbLofdrKLvutpY8kj6TfphHKlaYrT5U/d/TWu+lyut3zgwDVG9j1tlewxqKKvLWb6QqZapcr8BgQGoMMTV10oJ/u7o0/KJ4HVRnr8Lo1GKwXvAzUH2uvu0/bbkuEVtn3CZ4mLL66bHPJ0pUQMYoQRAEQRAEQRCECjzMAY/CiJnSPiIYMkZNJPZKs4DjP6Lq+7fD799A8MhrgGoaCsMBTHzlyu1SctOVO05HeSHL0ZA/zwGoCzfKuOWqHcFrrkxat1ou9dFCWldpmWerOuhTPiMwMu2fb4f0i8ppAbi/a0BV2FTWwBDQBsON/IfLTybBhYFXVB2vB7nRdDvQUUERFdN09KY5faa9qjzrBocIaqIFA5dLlXrEoSxNnqF+dbpw23fiv9tvaxuZpcOYvZYs83k/6FKDFM7jXL4JXg5mqpoGy4uE6qlUply+PlVQ7tjEj9splhlckPLuy8MvSP42Ysb46hyy5jrVU0HwHnNxmFRBbvepsoJcf/t30g0B5Xq+uwL8WTEL2+KBAI/CjVXaRwRDxihBEARBEARBEIQKmjwxEDzyc0abFPYRwZAxaiI+9dN/jijgp3wi9Hbx3wpzRlUPYpoRSIXzPFPVgYpk8tc7oHvhRuVFxNXQsatxBVRn1P+wZGQr163mZIfgjXLzkzmpnv6kZlwIvUMFLFIT2UIRMDc8bL/SsPPiIIMKnkp0qyImkZVRB0C7YpvZrKJ+eyYpTEr1GL42OgbIdQXo0lHPcOd28TavEpK4TcMcOh74xUywBf7eSlqQuby1KhXR1DRlL5Hacwbvi1UqqgmqZ7g6hOtDRgIh+c/p1HF4UPlmaGi+PEM9Q8Opp7LHBBxwadhF2TIYC3FegcvQ2Oy9owUPwkTTJWVUE2SMmoi4/qCcsan07zBuupF00dVr4GoybuWMolBuugr1UTI4tT4Hs7qe03aAWprr//2sr+FuDhfuYQ64ISAGDA7BA4fAECe44RAYPj3Vg0uxmZ3Pq0pXU50cekfYt23LPzMy6rg+nO1kPAVFzdbbr/yOvTTwcrisrkk6NRuhIjrvs6vjeQDAqdMybVcOThdcd7Rnjeerpx9orZsgMFy+PdgoStim0VVRDfbp1hLEIGVa69d8reuGXAm1WZZwRmiodOfOhb8fVrjiSsuT/p2afFFxv1ocCudxtj5Rtzuwt078jEw9+8Mhd83kBrVFwzOUgSkeK90na6zKuPmGMlR9rr3y9bHXe1wrLIybLmt1b29jkDFKEARBEARBEAShAlpnlC9kjJpJCIWThdgutlklhTQwazUDSuH6gh4VM8xx3JaDUevSG+jWeGOTfAXC5RUiQZduZ1TnJ4fcQ+muTofFfU0sBh6VYQuGdzoMh8AQI3jwvyd76a5XjIpGxJiArE7nNeUrd74xXGUP+4yoalmDUK7NfTcg9PIcrQVXxnlz8m1WSE+e7hC0z5S1ai1QNr3HaU3PP2jS5dtaVK5Q+Tv/pS6YlFy5dnLTvXDLZTja6n/mqL1daSnqFNFQ9z8jrWXawxl/ldRAO9frLp6WHLxupZKaGb4e6o9NT76ouSxBYDhTr6wsG1U8zVCBpQUoG0CCwDSrp0KIbd4doaIcISgP8ZrI+APbar1wjVwNM2f0Ks0Z1QQZowRBEARBEARBECqgaLp8IWPURMQ5owgRrMihUhGNpjmjPAMiqRyMu9SzRQk1Gggou6txFTQUPgVytGu/dy4oc8ADAW4OQ/93uw4iRvDAIXjwwclc2XS6l+6QaQhKI7D+iqtZS4Z47DTXJLD/KuFX7SsDW8LeC6oODizXwDWwiQtRdoa6edg/7rxX/LdDYPAwAe5mTwIPc6CJeUeh3z8Vug906egN5nXiTAcDtZViZL6T6cqmeKD0z47J4YOGnQ6jEMlkHUTjbdKytJyDIDC4v2sAXlF9iLkovIt50DFVfzC3kPn5qaSnazUo1BrbWccUvvXWo57q6RuhygnVN07XtzOseKo9J719PLVty3tEzgCSe1/7v5/Pf5cQUj3tkHhZ9hi5/Ou+ayNNEGL+qCCw5rUPoxNy0+ULGaMEQRAEQRAEQRAqIGOUL2SMmokgv3xLyDmhSun84bGsC5QHQXkv66JYnorz+65Ho3LmkBmhDPNA6N61Jmy+cqh1wxjr+kKMjhuOd/cOVF3+z7/3meTvH3b+XIy+GwNvBN613+R5d6oYddXy8AycbyqrgIYoV6mcu10HW9I1Xy9/Bdl3bMPFJpSprq25aJkz2jCwZS5V0FWwUu3VUFbIOUA6yU7XthTSD12fa0p/d6cD8DTfjA+/7Rm0v2vGOTAm4JuzHTTlCxifY2rGvM1wZXRKrg+ZTunZlemnENXUSVU1reegPX3of0caQTCvPh1TQ98jf25IPgOH0Pxsb76mDjDEOtwoP9NF8distDrJ39XnpMseqblHmZwVUCPPEa3qqUNjfAH/umWF6D81F1r6hFJdeEbVTU8MnoMb6j3qi8sQ+D721TOo3/vVISXxOwQiN180sOxAb6iUxMs4fylBeliICL3RHE33qscBwSPv3XZVYR8RDBmjJhK0Vqi/4RnGTTdwbVIJPFx0wd/g1Bu8BQy4rGRsGnlehahUTrZ+A9QfuYA8D3XeAzccoiuhz4UwkL/uyQ/apuWDZ9XuWyV/TxvyUVCah7vsQozgAeA16twINuyk2xzN27z73j/ZV5Kf7EdswHVW68Z7d6cW45OH23JEUOGme3XARTAmROUsEq0fDN0zzmouI7C9jMnarzmPQIZ1/BIeCPjX6eulOwSGbgHuwcfPpEqT6PxIyk6TGttV51I056HZgGv+f6cOdYrp/FETTIwxAVnJ9ai5oG0JF61Gm9wHvZ3WEhYcHu6DRVkKRqivDXRrH37wJi+9CgDgEDwoO5sdNn2nNPXtxChGghZpNSJ9aOk/mg1bgcGVHP761Vz09pmO7bQHU/IRbnA4MF9Jer99/tvljFX//CTveLl8lKbiNO9Laddi3PobpoLfMdH4PvTBoDyoZ5+nV3RAxihBEARBEARBEIQKyE2XL2SMmsjlgcHh4NvsS1B00w1US3W76Rpw0VU81sByMFduaNA3XBTsz6jp8B5dq1Wl0/vwGNvpC9EtVonXdhVIN3AeaX9x553iv2cO+V8ueY5xVYhqqT//rO6tGJwoaNTW756N6bRfVF5D5a2GdyryALyv61je+Nx0w/WpoBF7Hbc/R4XqWHk6zdDxkcDXXkZ0PMR5CSBgaHoldpztrphGj5qrhm5p6gI0qVVQs1O1uTkDBj6Kmu+Jz9W3uj5JNqmepTR4pLEKQQAcMsFW9ATOc6lQJzsnalcwB6VVwSEwVQppIHqVSB7wCkLE+xgt6f3TupLCu17rKVupL4vKppyLrgrlFAjv6gtoU08ZE5DarJLWNiuk3kBJgq36uFbIGOULGaMEQRAEQRAEQRAqIGOUL2SMmojg8EBweCQjTFcGfAfn522D5oyqUkThl8Yg4VRMWVTOGW24/kroQ/2O17/sh7LC1LObOiU0EC2joHdkHEEMGOIEt2K653eOaPlD4+n2yTmBA5WdtR3UzJKdhUHbZg3ZqCuvUNyddTB8IpW8XvZ9HUcFt6+IEejh4Ien/wUxScjj/AjVH67P0L7c0PUdzVmiyEyGZ/xbdt/S7SN15fnI97aJ//5e6jHsPa9NLbLyY0KtgqqHcM+1UOc5IOUbAEB5bUtwHP+5cj6VVOtyLVqQUyIjgsBk6691jqwrJbzimZEQHLBGC4PSqrDvnL53h5kEtsWc9i3t3u3XDgM9ZsL1xerLwcvXmKmCAtqVZDX5a50nCgTPW9SkkAbkGUo9lQuUpGfeaYtC2haCwOCJYnvNHSaAkZsCGGkiKozRo0eP4n/+53/w8ccfo7q6Gi6XC//1X/+FOXPmID4+Xkx3/PhxTJ06FR9//DESEhIwbtw4LFmyRJKmoqIC06ZNw65du5CamopJkybhySefhOD3RtmyZQuKi4tx4MABuFwuPPHEE5g8ebLmevsi8Pm/xBgDGvtfQlxForwR6vsbIYxSTu9n3W66CjTe4F2PSq2RycNtEQBu0ml8KtEnuRoOeBAnuOEQmHctTzAxGJAcz+4cJd2g8lr26X4iaJtDYOh7nfejUOkldeCouo+OxTvvgeJFVhpoEBj+z8CtqspR4uWyguCNetqbjV5iYjTdwEvb74Kmavr6Q4+M07yqZntuS/sq5PY/7BwuPgz1RjH98+6WQY6HB+1Avw4nUHHepfp4I8FXrEbPAut5Kce9x4YMZObd5jNKfXx+3vus8Rmm1RfCr2Gp5f5Jrrmdrr/S4LAG1LhZd3DyGWjrn+p9p3xRq77Na0VtH7m+vXeALMjI5PQgz0rQF+3XITCcuZKoKp2evHkcE9ZAhQoj0+86yxmlvn1K+WQlXIAHLYqghzla/i1OvRFwvsG7zqicq29Gu4s4eykRMXYacNKIB4Ji++XVtlsLUWGM/vvf/4bH48Frr72GG264Afv370dRUREuXbqEJUuWAADcbjdGjx6NjIwMbNu2DWfPnsWECRPAGMPy5csBAPX19RgxYgSGDRuG3bt348iRI5g4cSISExMxY8YMAEBlZSXuueceFBUVYfXq1fjss88wZcoUZGRk4P7774/YNSAIgiAIgiAIIrKQmy5fosIYHTVqFEaNalGcrrvuOhw+fBivvPKKaIyWlJTg4MGDqKqqgsvlHQl87rnnMHHiRCxcuBBJSUlYs2YNrly5glWrVsHpdCI3NxdHjhzB0qVLUVxcDEEQ8Oqrr6Jr165YtmwZAKBXr17Ys2cPlixZot0YDeHa4xslZg60jLQqKaKB7VlN+zZrWZcArl5/OeR2yTlrGfhS4bYIALldT2rIVB3dE73uQg4hfCAiHy/vCaHyqTjhvjnBKmg4lOrUN6dFvagI59YbRv1UOu6V8tuDNv+fAcpq6St7pcfwClhgu8AHAX3V0U/qiqfWW+DGVqSKDkn9Omjbi7uag3AJ8CpjnG7zmr2D8dDA3eiTfAoAcKg+i0/GNkHJZXBIaqV0rd4Q6/eqpV+HEzhQ10n8u0tSHTwQcOqCNLgRj4BGdurjgoKbrhq6qgw81S4u9BJnWyuC18z1MXbgPsU8b045if3nvffMbLX/xvbe55f/mtp2/yhPbyPvEn2+MUF2nw8eCqiawET9kr8J6uf+nlq+JeR8/dq3tJx//v59V0k5zW57Hh4Iouu0h0nzCUcH5xXUNzoVAyWlt7uIJoRfP96uMCYovtf1T0NrnUStU3NdXR1SU1vWhistLUVubq5oiAJAYWEhGhoaUFZWJqYpKCiA0+mUpDl58iSOHj0qphk5UjpHqbCwEHv27EFTU5OJZ0QQBEEQBEEQhJ1xexxhf4R6okIZDeQ///kPli9fjueee07cVl1djczMTEm6lJQUxMfHo7q6WkzTvXt3SRrfMdXV1cjJyQmZT2ZmJq5evYozZ86gU6dOCKShoQENDQ3i3/X1zWG9wwUhklNEA/drnTMaZkDGyLIu7htaFjIW1Iz8SAIWhU8uObS5on2z+SuhANApwatehRrZ/PvnA/wqIpOByoGvvgHzQc0cne53XcAcr8oukr/DqZ8hNysc8+q+20JuF0cFdQ4O9s72Klhy8y6uXmrAcX1Z60aunzO/YGSxAYqoj8BrGKov9Mw4jbwOx8QR7sBR8PI6+QA80TK/cWDycThCzLt+cbefIuqPAG7q6NryW/Bg/z0AgJ5JNfjPxXQ+GcuQnxKs/AJAae11mvLRoyz5VGe9SycpEaguO8CQnXQ+KN3Ji/JLwfiOU4JFYKkRuT7eLbUWJxta1PRwqoeegFRtY4MHu7cd6OH9h0L/fq+8X3OlBPxw0N6QaXI7eO/Zv+szQ+7Xw01J30raphltLdJ0iA/2/vJ/fsU1/9sh/t97n3zLo/g8rXzLnDggTedN25JfqOd4uDgVWuiV/K2f2imI96xlqTWB231MdV6GQ2A41+BVl0PNVY1x8Ds3q2Fh3HRJGdVGRJ8e8+bNgyAIir89e/ZIjjl58iRGjRqFBx54AL/85S8l+4QQkRIYY5LtgWlY81eh1jT+LF68GMnJyeIvO1v7Gl8EQdgb6ucEcW1DfZwgCDUweAeVZX+RrmCUEVFldNq0aXjooYcU0/grmSdPnsSwYcOQn5+PP/7xj5J0WVlZ2Llzp2RbbW0tmpqaRKUzKytLVEl91NTUAEDYNLGxsUhLC72Y/KxZs1BcXCz+XV9fj+zsbDgU5pmIg08yiqgvTdDgihHV01d2GPUzaNP1LXMqJIdKogSHHwWS2PIK6ft3/UZ2nxE8TECHeK+yGxNwoTYc6CtN7BP2DChON4eIkOvDKiVrwHVVsvt8o3pfHOusSzFVQsxPIds+zeqnUt3k1JNIjDnK9XMAiO9/XltmfidwU3oNhqb8B1dYrOKodF6HY5K/HYIHe89301ZuAAOb8wwsV898Qn/Ujua3zLuWbyg52ern0fr3q/9UBatA73yeBwD4cb+96J54FoD3WVB5KfSzXYl+Sd9IzjOU4huKW1OlEYRLa69XTK/2WTG4Q6X4b7dCD1lVNlRVfnL41OVeSdU4fEFeaevSPrSXAKBO7W0SrJ9PJtfHYwSG69LOmlZubAiFqPTQDS3vTEGFZ5HA8I+9A3CfjDoKeKPE+3OoTv7++dpdr6RqeJp1C7cFas8ne/vI72TAbQPkl4Ei7Eeq8zLON7YR//ZXSKPFoycUHggQKJouNyJqjKanpyM9XZ2r1IkTJzBs2DAMGjQIK1euhMMh/VjKz8/HwoULcerUKdGVtqSkBE6nE4MGDRLTzJ49G42NjeJyLyUlJXC5XKLRm5+fjw0bNkjyLikpQV5eHuLi4kLWzel0Suah+uibVY24xHh8Ue2tj8Rgy70AdqC94tIuLUGMfB/24Ru3qndFGDddx/UXJfVVk6XP+FDtitucfkAX7cF8tBAfc1U0aAIffP97qHdLdUI9FDU8S27udiJkGeGw+mHs/xHoK7t/d23G/xdVGtav8w2sMHXu1qIRGua6ROIlJtfP2/SrhcMh3a7WRadXeg2Gpnyl2zVqoJ+BGuPXsf0NoyBD0wYvydfKmgNbKVQlp7PUCFV7z33penRt+fD+8rj0o9vnhv+jm/d5y0o8Cwc8Id3nJNual3jiSX7KfyT3bnsY49THLR2Ohk3zelkIN3qDt99n0D/Ybw96tv8WAPCfSxma3ImV7qXaZ4AZyPVxh8BMq0+ofHcf6R40sqz04euXCO/uHQgAuG+gvFHqo1fyt6LrqNls2ntz8MZQlzTMwOi/PpcJ5qTFUFZ5Lwv6m2v4rt05WHaf3Ok8MuRfJtXGPFKd36G+sU3wEjNR7Kbr9jgAWmeUG1FxtU6ePIk77rgD2dnZWLJkCU6fPo3q6mqJgjly5Ej07t0b48ePR3l5OT766CPMnDkTRUVFSEryzl0ZN24cnE4nJk6ciP3792P9+vVYtGiRGEkXACZPnoxjx46huLgYhw4dwp///GesWLECM2fOjMi5EwRBEARBEARhDxRddJn2GCmtnagIYFRSUoKvvvoKX331Fbp0kQZk8c3njImJwQcffIApU6bg1ltvRUJCAsaNGycu/QIAycnJ2Lx5M6ZOnYq8vDykpKSguLhY4paTk5ODjRs34vHHH8dLL70El8uFF154Qdcao7EON2Idbgx0fYPyU1JXSMYEePyWbwlSRAHAwaSjYypG81QN+AWMuN1ym/VuL2YEO7janKcDDLEOt2y6T4/c6P2HhoA9fQOWk1EaJdesjlo0u8ADPm4xPjfqUErIF9+4cHMX7QGntKohdnLvEYQAF3SoC1g0pcdWuOEQAxb5WLU3HwDwi4HbudbTDvyp/FYA8u7v13VWdsnVct/90/bsVo3Dx4OXc1lf0R8A8OOby1XnG47X9gQvgRTItFs+kd03NOU/YdVruedn8HJT5vWTdz73ehw92K8MOYlncexSqmJ6tW5rvvvGbKSa8FJGVS/pEWqzwJCcdlGyqe5MuxCHeg9eX+5VSH80ILxCygv/YEpBhDwn1SJleOQyCtysQUDd8vlNqtLp9l6WDY4of1FW7Py+qqz/65YdOirUwubPeyvuH9rnK8X9gXRwXoYDDOcbE8R2H3kfHf3Q0i58iQpjdOLEiZg4cWLYdF27dsX777+vmKZv377YulV5bcSCggLs3WvdA5wgCIIgCIIgCPtDxihfosIYjVYEMFH1GtTJqybtrfYqu4LA4Ohbh8aDyb7E0mVcBOY3ZxSqB7gD2//Q7x80cgqq0DNR2yHIK5fhqA8xGT7cyPVn/2lZTkEpWA8vBVSr2mmG0hc46s5TgZVTWftnq58DHGr+qlrspIyqUk2aT9XDBPRNP4WClMNikKDnd98VMu2fy+UDzRQN3Ka3uor8ad+t4r9/3q+USz4SZB4V17lOm6KK+6ft1e0U/h1CHQWAdc0K6U9uLgubp9J9AaBquP/FPcMkfz+a93H4g0LwclmAEhqB7593vhiEH99cjm6J3uVMqr5LCZlO6fkTSiG0ymNEDbEOT8ggQ0aQU0XLvuomuY/JqV41NFQw/w4Z3n3n/RVSQRrKc/2+AfhRf37Kv29Oakj8vl9Uf7OY3WjN7hM830Uc67p6zxBjGYSpy/aDN8juG9jzmOy+VOd3ON/oXe7FbaP3uFbcHgFe90aF/QZYvHgxZs+ejUcffRTLli0D4PUEnT9/Pv74xz+itrYWgwcPxksvvYQ+fVqCfjU0NGDmzJl46623cPnyZQwfPhwvv/yyxKu0trYW06dPx3vvvQcAGDt2LJYvX44OHToYqrMRyBg1kRMXkxHLpMEQMtpJ3WzwvYC/OVN1sQMEgaFru/OmlaHmo0HPWnk+zjQkSspQ+zG6s7J7yx8Kxffrqj/qbbhz1/bhbOxjJ9B1j7fBJjEeDX4oGnUZtpMxKihEzQ6kX/op3JlySHTN/f2ekRAc6j/cfPjcXUNXSF0eoersv21Vhc6PGaY+CvX1LmNBilSl9bu4vbt6IzgfrApeLxoA3q4Y1PKHTBFGImzL8ULZsPCJQqC3Lv1z9Ecs3xewdjHgNebv77sPAJDdtlay78Tl5LB5OkK0WaYw1cJqHH4DyzyQG8At/082/Bteh7RLkv1y7T4144L473Nn2gftX++3bvaP+6vz+nqnPE+6wedaqfL5ovpqaTBcbQcn41HtNY0Wyo90wy09K2X3d4i/jPqmNtwHeKzEOy9USRnVn/fu3bvxxz/+ETffLA369eyzz2Lp0qVYtWoVbrzxRixYsAAjRozA4cOH0b69t98/9thj2LBhA9auXYu0tDTMmDEDY8aMQVlZGWJivN8d48aNwzfffINNmzYBAH71q19h/PjxQcFbrSQqAhgRBEEQBEEQBEFEGp+brtJPDxcvXsTDDz+M119/HSkpLV4mjDEsW7YMc+bMwX333Yfc3Fy88cYb+O677/Dmm28CAOrq6rBixQo899xzuOuuuzBgwACsXr0aFRUV+PDDDwEAhw4dwqZNm/CnP/0J+fn5yM/Px+uvv473338fhw8fNn5hdELKaCvh+MUOQduuT1K/bprR9cVCjXzLcfK75OZjtA8t7TveMmofbrTxZj+XUr0ut2rqqFXxVJNnSLc2g8qqfFnNgaE4KELh1g+NRmLAJOvWhhoR7Zfhdf8uSP63uGbfM2WFLcqWYHyOiSaVLExRhkbq/ZbzUaKHq0Z2n2qFVGU7Cswvt9kd/4CMQgpY4D5oAQNz5NcZ1p1n89rFeyuzJdvX7e+P+3P3BaXvnNCy3mjge8TDBJxpbHExTY37Tvx3Y2MTj+pywReMkAdXPTEht++r7CLpl6lp8l5TSn09LaMeZ0+3h1wn//vnAW62clkFHq5RwRQEBM0b6tT5XNjj1PT9cM86Ve9luTWsBYavj8qvvypNqypZmEz8phJc530uHfraxSHjyLL7SHcAwGAZhTTNeQlXmxosrBFfGJS7g29ffX29ZLvc8lE+pk6ditGjR+Ouu+7CggULxO2VlZWorq7GyJEjJXkVFBRg+/btmDRpEsrKytDU1CRJ43K5kJubi+3bt6OwsBClpaVITk7G4MEtywoNGTIEycnJ2L59O3r2lFk6yWRIGSUIgiAIgiAIglCBWmU0OzsbycnJ4m/x4sWyea5duxZ79+4Nmca3lGVmpnSgJDMzU9xXXV2N+Ph4iaIaKk3Hjh2D8u/YsaNkuUyrIWW0FfOf+rSgbT2SzoRMq1ap0BPMCACOXUzRVI6P/ScClI0wx9/c5aRsGXoVUDWKpB5V0b8+gdfV7DmT0uBC/OayGq23HZVVITCAUUAXuDnNO9o9vMNBNDbPFV1UdndQOkHrORkYlQ87os+hfYll+LWlGzrVmK56aknnC1hWURWsRAgG5rIN6K48J7P8aPC8Sx4M6s5fCZUjL+c4AKDsaItC+u6BfuK/7+vzuap80uNbFEAzlvzigdGlXXzPLbnz++JYZ+8yJ81tTkkVFeuk0DgzMrxqzOnTSeErZ8KExU6dakNuV3sN1Xh5GI3noFTGDTnyH+W+cr88GhwMrWfOKdn0SgTWtc916gMB+jhQ2VnzMVaw80gOAODWm7QtBWN7PAKYUpCi5n1VVVVISmrph3KqaFVVFR599FGUlJSgTZs2IdMAgBDQXxljQdsCCUwTKr2afMzEnk9+giAIgiAIgiAIm+ENYKT8A4CkpCTJT84YLSsrQ01NDQYNGoTY2FjExsZiy5YteOGFFxAbGysqooHqZU1NjbgvKysLjY2NqK2tVUzz7bffBpV/+vTpINXVSkgZNZmq08oLgVtF147q5od+WZ8ecnvPZPn5Xf4ojW58WZ8RnF7DaPPh6mDXAjUjqP26nAzaJjdqqkcB5a308D5WCz4Fluv8UA5zWQPnrUZDNN0B6S3q2LDkQ/AwB+aVjW0+Rpq2U/p51SPoXJ4pYcriETG2R9Zp2X1WqJ5a0vkian9RFaAuCMFzXwd0UxeJVukcAxXMsmPZMimVuaX7cV3H8eSWnOPYfbRr0PZ3D3pV0vt6q1NI7UxS7BXEx3nnjMYE3Fc3BHiYID6jPBDQ1Dwv1MOEsN5CFcddkv6Wlqo+wn44IaNjx3rUhFNHtYT9FMT/oFNWywcvT8VTS55G1M9wZch6UDVv16KCWrHUW9/rgp9LRlYxEPNQ4YJz6Gj4Oa6fHfYuBVNw0xHDdbIDvNcZHT58OCoqKiTbfv7zn+Omm27Cb37zG1x33XXIysrC5s2bMWCANzp2Y2MjtmzZgmeeeQYAMGjQIMTFxWHz5s148MEHAQCnTp3C/v378eyzzwIA8vPzUVdXh127duF73/seAGDnzp2oq6vD0KFhli0zETJGTeTE2Q5wtNX/URfqQao3yMlxmQ/YrhnhAwoAwOG6YEMwEJ4Gwtc1wUaxFg+Cmzuf1L3sipLxxONlYydDygdv91ejS7eI+cgYtGYFa9JDoAvfwLTQxsrssh8GGYGd089L81Jx/dUMLIV1YeMRAMSiZY/MXn/Un/5d5Q1NvX1DTb20GJV2avs+Buccxa6j3UPuW3+oX9C2sTd9YXKNooOKKpfE3T6tw0XNXrPh2ldWx5YAUt+GMkzDBE/r7Gd0KsHb0ATU9TkzDM5w+/UEPLRyKbOW96Zx13I196BP92C34gMyBuqWf/cAANzV+9+662YLmBAUoCtovwbat2+P3NxcybbExESkpaWJ2x977DEsWrQIPXr0QI8ePbBo0SK0bdsW48aNAwAkJyfjkUcewYwZM5CWlobU1FTMnDkTffv2xV13edcz79WrF0aNGoWioiK89tprALxLu4wZMyZiwYsAMkYJgiAIgiAIgiBUwTzen9J+3jzxxBO4fPkypkyZgtraWgwePBglJSXiGqMA8PzzzyM2NhYPPvggLl++jOHDh2PVqlXiGqMAsGbNGkyfPl2Mujt27Fi8+OKL/CusATJGTUTOfS90WvV5BmJkcd2qMykhy+6Spm40lAdHT0sDKWm5bv70c4Vwx9UZeIh3kCMtZVsFz8BCLXnyUVjDuQvbSV0ekPYNnO3i4BBYSLeou5IP4PE9Dwa16S5p50PmxyN4h5p0htVTDsonrzS60upoo8bUDb593k59AACG5FRih4w6Gsh7h/uGTeP57orBGtkX3xJkge9e/7+13l81zw2fSmpG3lrzVdv/uAQz0vkc5K2A8uqzofKRBh3koIjqzMN3fJ/uJ3HgmLz77oeHbsId2dHrws/bTTcUn376qeRvQRAwb948zJs3T/aYNm3aYPny5Vi+fLlsmtTUVKxevdpw/XhCxihBEARBEARBEIRa7DUeGNWQMWoigiCvePIIEOJfTiBqRmWU6nDiXAcDNdKGWA8NA0n9OqlXQfUEHjJzmRd/YiKgbrg5BhYCIrN0i+ZlUEwkzuFBnMN7Lf3vZ2HSF2hCDNzMEdRHw3ke8FQMDamjBtVPq85Dks7k+dtG+41ZiqYdljsa2r0SAFB6rLvhvHi+I+1CWVXzkj4hzi2jgzRwkZ7zjybFU0v5aupghjqqP+6E+eqoGfl6mP5YD6EU1b7Nc0n3yyikn3x5o66y7IAVyqgdOX78OLKzs0MuMVNVVYWuXYOD2amBjFET6ZJWi9jE0GGcAesDePynJt3Q2oRmEu6ldHNWS+Q6nhFvzTA6tRqYVkfK5WUA8zRqA6PlhsMOH94+HPDAAek1GJX8BdzN5zRj7wOS9p2t0gWeV7+PtMHJ1SA1ydDU2oaNfvhZ0X4j6cab3+2o+O8dx7vryiOCS94F8cmxGxDTtnntPxWXVe5DtOWcpJkEGqL+6LmPkQompKcOPN3wDRmknN1uo2GKiQ8jrrlqjr252Sj94pg910LVBecARtFCTk4OTp06hY4dpUFNz507h5ycHLjdbl35kjFKEARBEARBEAShBgblgSn7jTlwgTEWpIoCwMWLF9GmTRvd+ZIxaiKBSz7IpdGSX9g0Cj2gR8eWdf/88zpyOnj9T6sINXbUN+sU98BDgN6RT30KqPZ1xfgHNPJ3nwX4qjEeCIYVVrck4IJWZSryAaB8xAluxAkt13pk0n64m1v2Y3t/Imnk2aleVdRqr4hIq59Gn11a82pJq76d6HLZNdin7KCSaO1Lgc+V0Hm2nNfQbpWSfaVV3Vv+UDp9G1wbH/5B9ZgK96Lw0wha8ujY4YLqOmgh0oqnljpoSWumJ4hWNVP30jA2sVSMrCuuR03t3/0bfO6njka1K34rM0aLi4sBeIMoPfnkk2jbtq24z+12Y+fOnejfv7/u/MkYJQiCIAiCIAiCUEMrc9MtLy8H4FVGKyoqEB8fL+6Lj49Hv379MHPmTN35kzFqImqUUV861XlyVA98aW7qWCOb5nBNR9l9RujbPAfUDgqokfmf4RUnc5UZfwKXFeGtHkoCFXFYusWIshqJwE9y+Pfzu5M+RxOLxf/Z+zAA6chv19TaoOO0lBE2jc3VTzVtRr06Yk6/0tuuDc8htZHSHw6jdb2169eq0jVebIS6lOYjoEXLFAQWvpUIygFMBIGhY7I6RdQfre0sUsGEzExr5rPQjDmgejyyzMboEmwe6A901K+bd/7o58c72zaGiRoisc5oJPnkk08AAD//+c/xhz/8AUlJSVzzD+9vQxAEQRAEQRAEQbQoo0q/a5CVK1dKDNH6+nr84x//wL///W9D+ZIyajKRUj3VpguXplfmt6arMrwVUKXj5MrSO/9TjUqgdQQxRmU7cCNQCTVnpNVjRtTca2hCxaj2FUhs7z0vNwRMLn8YDoFJlJFuaedkj+c5t8vu6idP5dNMxVNvXzLaR+yk+EcaO10L/zmjgFfQCbt0g0L9M5K80XN1tzMbKJ5a03P9buHwnOGqjlq0FJxRtEatD52HoOv9HTg/dUC3b9B0qRHHdNcksghMeVq7jR5fXHnwwQdx++23Y9q0abh8+TLy8vJw9OhRMMawdu1a3H///bryJWPURHydzozlCKw0SAFeH8KRNzoB+Y8cvUanmuun1sBUKi8wcIjWPLXgb+jyMHJ5GbR2N2Z/Wf4z8ePP9/9uAe65oeDlwsojjfnBkNS1Ad4BWLR/aOtrqzyMKLu2byux0zXwrhmurT4+g1WNO66ec402I1NL2kgPvFk1DUhNeTzg8f7Va8gquQTbqY9rhqFVBTDysXXrVsyZMwcAsH79ejDGcP78ebzxxhtYsGCBbmOU3HQJgiAIgiAIgiDU0ErddOvq6pCamgoA2LRpE+6//360bdsWo0ePxpdffqk7X1JGTURAy8hPpNxZ1KTjpSwYHQG0SgFVKkuPAqpWoTSqClrl0uNhDi6qK091NXBk124BX36xbwIA/0XtvXRPkXfPDcQuyidgvvoZKdVTT7vRq3TyHPW3W3tvbaS1u4TYxKuy+3nda7OWb9Ga1qy8eXuJmaV+AtoVUO++0P3UzMBTShhZukXMQ6eqqkZJjWQQJ8N4mn9K+69BsrOzUVpaitTUVGzatAlr164FANTW1tI6owRBEARBEARBEKbTSt10H3vsMTz88MNo164dunXrhjvuuAOA1323b9++uvONGmN07Nix2LdvH2pqapCSkoK77roLzzzzDFwul5jm+PHjmDp1Kj7++GMkJCRg3LhxWLJkiWQ9nIqKCkybNg27du1CamoqJk2ahCeffBKCn6SxZcsWFBcX48CBA3C5XHjiiScwefJkzXUOtbRLROaEcl0OxpjiYUagI6vmgCqphVYu4WIG/svC8ApUxFNdDe5HhrPmxrT9P0VM2+Bz7drBO1c0IksbWBBoyOxnAc+6BKJH7dS/7AvfIXI7Pj94wfs5xAsHmKr7r1XZDFmWiQqm1vRmBQmzMuaFXm8spWP1fD8YUTt5ztNUnYdhVVWNp5x9+rhmWtk6oz6mTJmC733ve6iqqsKIESPgcHgV8Ouuuw4LFizQnW/UGKPDhg3D7Nmz0alTJ5w4cQIzZ87Ej3/8Y2zfvh0A4Ha7MXr0aGRkZGDbtm04e/YsJkyYAMYYli9fDsAbgnjEiBEYNmwYdu/ejSNHjmDixIlITEzEjBkzAACVlZW45557UFRUhNWrV+Ozzz7DlClTkJGRoXlibihj1Ldd7fGq0lm8fl+kApxY5XYLyBueRgMZifnb4IPSzfgGKQL4ByqSuw9mBm/SSmCkTQDo1myI+oiEQQroc31v2W++scnb0NTSr/R8qBlp17yNSDv1Ab0oRQS304BTqD6uBI97bRcjE+DvLq8lrdmDb3qj3fKOrKsWuTpJ1gHn4ZZrYA1StXWI5oE1gbXOaLoAkJeXh7y8PMm20aNHG8pTlzF65513oqCgAHPnzpVsr62txf3334+PP/7YUKVC8fjjj4v/7tatG37729/ihz/8IZqamhAXF4eSkhIcPHgQVVVVolr63HPPYeLEiVi4cCGSkpKwZs0aXLlyBatWrYLT6URubi6OHDmCpUuXori4GIIg4NVXX0XXrl2xbNkyAECvXr2wZ88eLFmyRHeUKIIgCIIgCIIgrgFaqZuu2+3GqlWr8NFHH6GmpgYej3RwRK/9p8sY/fTTT1FRUYHy8nKsWbMGiYmJAIDGxkZs2bJFV0W0cO7cOaxZswZDhw5FXFwcAKC0tBS5ubkSt93CwkI0NDSgrKwMw4YNQ2lpKQoKCuB0OiVpZs2ahaNHjyInJwelpaUYOXKkpLzCwkKsWLFCNHwDaWhoQENDg/h3fX09AHll1LdPDZEI4BHpACe81/zk7XarqKhqHnG23k3F0xxEm5c6y1NhVausChFw75Hr5/6qSfcARdQf7uqoycstqTreAndfwDzFU4/SabSNm6VoRoPLm5blqSKh/Op5lythpK1YUV4kFU8tac3+JtEbeMiMZV70wmt6jd42q0dRFaLYYhMQRhm1rCbW8uijj2LVqlUYPXo0cnNzJVMcjaDbTffDDz/EpEmTMGTIEGzYsAHdu3fnUiElfvOb3+DFF1/Ed999hyFDhuD9998X91VXVyMzM1OSPiUlBfHx8aiurhbTBNbTd0x1dTVycnJC5pOZmYmrV6/izJkz6NSpU1C9Fi9ejPnz5/M4RYIgbAr1c4K4tqE+ThCEKlrpnNG1a9finXfewT333MM1X93rjHbq1AlbtmzBzTffjFtuuQWffvqp5jzmzZsHQRAUf3v27BHT//d//zfKy8tRUlKCmJgY/OxnPwNjLUMToSx0xphke2Aa3/Fa0/gza9Ys1NXVib+qqioALaOpoX5AS1AEpV+4fCT5CZ6wPzX5qambqvMLU48YgYX8hS9X27kB3lH2wJ+evMT8ZOruvXYe1T+195fHz4eW+oWru9K10PIT66bjfKxCrp8Lgvd3Xco5FX1C/bmp6YPh8vTu1/88CFcPo+WHexYEtQ/Vz8zwz0J/JUFruwv1PFH701I/LT9/rHqmaO2fWs4nEt4Pet7lqp65Fh0rHqOin2j/vuBfby3pwp1XuLy8+7V/OyheQ41lAXzel7x/LfdM/3OHx/MhqmAqftcg8fHxuOGGG7jnq0sZ9RllTqcTa9aswYIFCzBq1Cj85je/0ZTPtGnT8NBDDymm8Vcy09PTkZ6ejhtvvBG9evVCdnY2duzYgfz8fGRlZWHnzp2SY2tra9HU1CQqnVlZWaJK6qOmpgYAwqaJjY1FWlpayDo6nU6J6y9BENce1M8J4tqG+jhBEGoQPN6f0v5rkRkzZuAPf/gDXnzxRW4uuoBOY9RfjQSA//t//y969eqFCRMmaMrHZ1waqYNvfkd+fj4WLlyIU6dOia60JSUlcDqdGDRokJhm9uzZaGxsFJd7KSkpgcvlEo3e/Px8bNiwQVJWSUkJ8vLyQs4XVUJNOHi1I0Rq5wOozs+iSJfh5npZFQVXKU/F/BT2Kc331DryF2PS3FE3+ETYC8TDBC7zXfXOX7VDNGIf3ZJrEZcYr+n6Wj0XPFw+Zs4BB9TdL/XXxJxllPTMUTQ6T8sOCoGevuRW4YJm9NzscG188FJz9OahL/Iz//mgWtNH4plo5FnIew6onmXnrMQX+dbIM0D/M9Bhm+ugi3DqZxSfmhLbtm3DJ598gn/+85/o06dPkF307rvv6spXlzFaWVmJjIwMybb7778fN910k8Stlhe7du3Crl278P3vfx8pKSn4+uuv8bvf/Q7XX3898vPzAQAjR45E7969MX78ePz+97/HuXPnMHPmTBQVFSEpKQkAMG7cOMyfPx8TJ07E7Nmz8eWXX2LRokX43e9+J1r4kydPxosvvoji4mIUFRWhtLQUK1aswFtvvaW53mpfYLw/rqxev0+vwRkuf6uMTr0Gp1KegHYD0+jHjifEByJvI9dn3PKqq16DNhKBn+QIdOnScpz6tPZdcsmHkeeA2jJa0pljZOr9sDLaH+w0uKIGK+prp2vC27VQ/5q1NjEcTTAy1eZr5rNQ0VCVKdeMAXez8QUSM7J8i97+6W/ERvIaGKaVGqMdOnTAj370I+756jJGu3XrFnJ7nz590KdPH0MVCkVCQgLeffddzJ07F5cuXUKnTp0watQorF27VnSpiYmJwQcffIApU6bg1ltvRUJCAsaNG4clS5aI+SQnJ2Pz5s2YOnUq8vLykJKSguLiYhQXF4tpcnJysHHjRjz++ON46aWX4HK58MILL9CyLgRBEARBEATRyhFY61xndOXKlabkqzuarpX07dtX1do1Xbt2lUTYlctr69atimkKCgqwd+9eTXWUw4yRfrspn2rqZKUCqpSnvNuM3vrxWSpHkqfKNuMOWCbBLLc2f8XVqNLKS1m1lQtfiIBCqo+12Csi0uonz+ehmYqn3vZlVM2zk+Ifaex6LXi6FuppZ3ZRRwFzPEGs8AJRykOpfD1ut3q/fcxA7dJpynnoc68N5RJsJ+8HzbTSaLpmERXGKEEQBEEQBEEQRKRpTQGMBg4ciI8++ggpKSkYMGCAYuAivUIeGaMm4h8yXPUxFgc2AfgFFzESOMAqBRSQH3HXo4CqUnB0PJVCXW9PwDLKevJVi7/qymP01jciy0tZtRNy88kiMRc8kkHH1Oavtj2pVT7N8D4B9I/a81D07KT8Rwo7XQMBwe2e6xxSkxVSs+Z4aq8HP08iM71AlL8ftCmqvL089OCGTxHVX45eVVVpfioFMIoOfvCDH+DgwYO49dZb8cMf/tCUMsgYNRGzA5uofSjwCCyipjyjD12rjE7F/PQco/Zj2ODTyaoHtzc4gfEPap4GbaAxa1b0YT0oBWLg/RFohbGppi5GnwWRMjT1GJi6g2xxMlbs1NatxE7nHS6AEa97baoLboSNTM15cnge6jU4lcrX9Z2i+drzafs+Q9CIsWvEkPUwIcz1sk8f1wwLMy/0GjJG586dC4fDgQEDBuCRRx7Bww8/jOTkZK5l2E9mIAiCIAiCIAiCsCNMxe8a4rPPPsPAgQMxa9YsdOrUCePHj8cnn3zCLX9SRk1ECLHOqNWqJ8BP+fSmMaZ4GHLl1Rh8SG/gIT0KqJZRZzPda/UiUTE5PEV5q6uB98ROLnxhVRMbut7zCDRk9rNAbTmANsVTj9JppL3xVvjs1PZ5E2p5Kjugfpk24/fGzCBCWvM3a01fK4Mw6nG5DZe3HgXUiAqotU3wClQE6FdV3RBUKNe6srYFrWnOKADk5+cjPz8fL7zwAt555x2sXLkSd911F7p3745f/OIXmDBhArp06aI7f1JGCYIgCIIgCIIgCFkSEhIwYcIEfPrppzhy5Ah++tOf4rXXXkNOTg7uuece3fmSMmoiDhgLbKJ2tN/qxeTNVD8BvsuvWKmAalEC7TBXwuOnhvJSa90GF9P20RIGXm6h8chfPx+hPCAC4a1GRMO8T17BSsxSPfWoWEZUTt6Kpp36gF6UlqeykwKsVhn1T2+4TJsonlryjlRsDCOeILyXnTN7KRelc3WzyAUqajlevaJqduAmUwnnihvFp6aW66+/Hr/97W+RnZ2N2bNn43//939150XGKEEQBEEQBEEQhAqEMAGMbDSWZgpbtmzBn//8Z6xbtw4xMTF48MEH8cgjj+jOj4xRE1GKsslT9fSVpS4dn9Eqs9RPQJ8CCmhffsUMBVTraGIkRgZbouPxU1bE0VCDeapVVgUbDTvKeUAEpdNwbeyw3BJgvhcEoPZczVE89SidRtUNMxTNaFkiQcvyVHZSfrUqo+JxBu6LvuVeokfx9Ka1LjaGGVFwNc8pNcFCccADD3zv38g9B/QoqoKN+rhmGKD4+oiOR7ImqqqqsGrVKqxatQqVlZUYOnQoli9fjgcffBCJiYmG8iZj1ERiBGZo8ryYjvfyBpzceo0YnIC+wEMAX9dbM4zOSIVxDwePMO/+uP0+LI2eg1Zj1l4fqvKDToFoczm1qJ9GyO1ekodKo1D9M86cj3Ixf4Ptz2zj0Q79I9AFF9B23rYbcLLYsGw51ty2zDvAWkt6+01HstLtVs90I70YzdNnzALaDVq9rsF2DVamltamjI4YMQKffPIJMjIy8LOf/Qy/+MUv0LNnT275kzFKEARBEARBEAShhlY2ZzQhIQHr1q3DmDFjEBMTwz1/MkZNRM1oaiRUT7Xl8nCxCzdixzPwkLc+9lBA7eKuy1O99MfDHFzqrNdl2A4BoALhrXoC/J4PkVY/1Yzcm6F6anLZ1dGmjCqckVYwjQYpUcLouUX62vij1003OB9952Smi7BZiicQmWeikWchb7dbvd5fViG61upUVj1wGHINtst10ENrU0bfe+89U/MnY5QgCIIgCIIgCEINHijPGbXPWFpUQMaoiaidS6Yt4Aa/QClWBRfRE3Qo7HE6gg/JqqYG5n/aae5oKLWCt+LKK/iR0fmr/J1E9OM/N1xboA9rvSIirX6qC57G95oAGpdc0tEeeSh4dlT6lbCivna6JlrmhavLT99zzy7LvZiheKqtg5nLz5kxB1SP95fZuJvniOpth0YUVf9gS5EMuGSU1qaMmg0ZoybD273Wm6e9jE01ZVlpdCodJxvdWKfLLc/BgZY81aV3I3CNPnNebpL1SA0at7yMWVt9qAa442upm9UDUZE2ONW0bdXPTBONTF0uuxzaZFSvu8cZOw04+cPTtVDP4Ee0udVqrYcVa50rlaMn0r8ZA+5m4DMijRjCbjh01TuUAWtGMCfLaGVzRs2GjFGCIAiCIAiCIAg1kDHKFTJGTcTRHDsmUqonYJ3yCYQfbbPK7dZblnY1k/cxLcfyWcswMBS6mW4+/qorD8WH17IybtgvHLycC18k3O8jGXRMzJ+Duy6gXp1Uq9BoVTv1tnse6qadlP9IYadrECqAEc/lecxeU9QOiqc3rXHVU225Zqx1znOdc2ldzG3r4vrdBpRYvaqqkkswBTAifJAxShAEQRAEQRAEoQLB4/0p7SfUQ8aoicSAiaN8ZswjU79YNCelgkeAEhvMAdV7nPwx/IOumHG8WjxM4Ka6toyK8g14ZKe5dQ5BKUhFBIJ3WLDMitFnQaRUTz3tUE9b46nq2amtW4mdzlsIs0wbr2ez5vgCUaR4AtY/D/Won+Hy1jMHVLNXBqe272n2JDKivBpRVcN9S0QyiJNhyE2XK2SMEgRBEARBEARBqIGMUa6QMWoiQoi5ZFarnmrL5KXuhRuBCzfix3P5Fb1RcPUooLzU5UghnSNq/CnKI2ofIK+s2mk+mb8HRCjsOA/ciqi3Rp8FavPx1kXD/DkLlU4z1D07tX3ehFqeyg44EDxnNGQ6HhGVtUbLtYHiCfCb66m1fCOeIHqfg3oUUCNqp1ZlU1QzDZRpVFV1s/BRd6N6zmjzT2m/Fl555RW88sorOHr0KACgT58++N3vfoe7774bAMAYw/z58/HHP/4RtbW1GDx4MF566SX06dNHzKOhoQEzZ87EW2+9hcuXL2P48OF4+eWX0aVLFzFNbW0tpk+fjvfeew8AMHbsWCxfvhwdOnTQWGO+kDFqIqGCHgB8DU1fOeHg6UpqlsHZUgeeLrTWGZ1aDC+zAxaoxS26v/J2y+Vj0Mp+DNjIqA816BSItnUxrQk6ZrarrZoPoUgamla57OotKxx2HdjSgtLyVHYyurWuM8pj/US7GJlA5AxNwPzBN97LzumZbqQFpWssTmcxWI6bOXQbslqMWLt8B+mB95zRLl264Omnn8YNN9wAAHjjjTfwgx/8AOXl5ejTpw+effZZLF26FKtWrcKNN96IBQsWYMSIETh8+DDat28PAHjsscewYcMGrF27FmlpaZgxYwbGjBmDsrIyxMR4F8saN24cvvnmG2zatAkA8Ktf/Qrjx4/Hhg0btF8EjpAxShAEQRAEQRAEoQbObrr33nuv5O+FCxfilVdewY4dO9C7d28sW7YMc+bMwX333QfAa6xmZmbizTffxKRJk1BXV4cVK1bgr3/9K+666y4AwOrVq5GdnY0PP/wQhYWFOHToEDZt2oQdO3Zg8ODBAIDXX38d+fn5OHz4MHr27Kmt0hyxp0+MAg0NDejfvz8EQcC+ffsk+44fP457770XiYmJSE9Px/Tp09HY2ChJU1FRgYKCAiQkJKBz58546qmnwJi01WzZsgWDBg1CmzZtcN111+HVV1/VVdcYgYX8Ad6RvHA/oEVdVfoB3tE9pZ8PVXkJHsWft/5M9hcuD289PLI/n9tj4E/pOO810HaM0rXSc63VXDv/axDuOpr1k7ZRdfVVez7h2qHadqq2rdoB1X1U5nmg5/mgplxA+X6Ey8NbZ/OeA2qeBUp9W2t/N5KvnvwDywp3P8zsK3b5BaJ0fnbyflDbd/37MGDw+a6jjWm5D1ravWl1sOh56D1f7c9BPc8/73mFPkbPs0PuWSK2Tb93Oq/8jXwDaGnjgk711TYwhV8z9fX1kl9DQ0PYbN1uN9auXYtLly4hPz8flZWVqK6uxsiRI8U0TqcTBQUF2L59OwCgrKwMTU1NkjQulwu5ublimtLSUiQnJ4uGKAAMGTIEycnJYppIEXXG6BNPPAGXyxW03e12Y/To0bh06RK2bduGtWvXYt26dZgxY4aYpr6+HiNGjIDL5cLu3buxfPlyLFmyBEuXLhXTVFZW4p577sFtt92G8vJyzJ49G9OnT8e6dessOT+CIAiCIAiCIOyJwML/ACA7OxvJycnib/HixbJ5VlRUoF27dnA6nZg8eTLWr1+P3r17o7q6GgCQmZkpSZ+ZmSnuq66uRnx8PFJSUhTTdOzYMajcjh07imkiRVS56f7zn/9ESUkJ1q1bh3/+85+SfSUlJTh48CCqqqpEY/W5557DxIkTsXDhQiQlJWHNmjW4cuUKVq1aBafTidzcXBw5cgRLly5FcXExBEHAq6++iq5du2LZsmUAgF69emHPnj1YsmQJ7r//fk31dSiM7mpRdngvHaJqnpaKESu9cz/F42XK0Huc0rF6FqRWDEmuUEetcy2smjfBI6iBPx6/Kfo85qgA6tu6nebLBaohSmhRe9T0ZzsEGjL6HAD4z0nTOrdT6/xEo+3PTGXfTn0jeE6oljm99lFNQnmVaDrewPNR63Uwq+1rrgfnZyKP56Hi+17mOuidA6onjoVeeOTpbn6fa22reuepum0arEwtgso5o1VVVUhKShK3O51O2WN69uyJffv24fz581i3bh0mTJiALVu2tOQpSMMiMcaCtgUSmCZUejX5mE3UGKPffvstioqK8I9//ANt27YN2l9aWorc3FyJalpYWIiGhgaUlZVh2LBhKC0tRUFBgaQxFBYWYtasWTh69ChycnJQWloqkbl9aVasWIGmpibExcUFld3Q0CCR3uvr6wHIBzDyJxKGJmBdcBG9UUb1H2cPo1P7umLmfEB6/D4GeRq9RgIc+KM3Yl8kAh/I9XMfvA1NwP5RrlvK1/8cUJuHlry05unNV3ubMmIwRdpo5DWApFiGgXOMxPWRf5drC2Akh972YmYEaLOMTCD6Bt/knoN6ovwD+gfcrcI/erWeNuaGYOhcojmAUaA7bsj9AJKSkiTGqBLx8fFiAKO8vDzs3r0bf/jDH/Cb3/wGgFfZ7NSpk5i+pqZGVEuzsrLQ2NiI2tpaiTpaU1ODoUOHimm+/fbboHJPnz4dpLpaTVQMTTDGMHHiREyePBl5eXkh01RXVwddzJSUFMTHx0sk6lAyt2+fUpqrV6/izJkzIctevHixRIbPzs7WfpIEQdga6ucEcW1DfZwgCDWoddM1AmMMDQ0NyMnJQVZWFjZv3izua2xsxJYtW0RDc9CgQYiLi5OkOXXqFPbv3y+myc/PR11dHXbt2iWm2blzJ+rq6sQ0kSKiyui8efMwf/58xTS7d+/G9u3bUV9fj1mzZimmVSM/h5K5A7erSePPrFmzUFxcLP5dX1+P7OzskIEmQqHJZZeTi63qvDi42FmpgHqPkxndlDnGiMut8rFa1T5jTy83C26fvBVXn9LKY0TTiLrKy9VYC3L9PDCIhlqs9oqItPoZCXddb578FWu9+Yc8PkrVAbPrHYnrItvHBb5uw1YtEaTt2yJyiqdYB07fS3qfhbzdbvV++5iNXpdcH6Jrrk411Ve2XRRiXahURtUye/Zs3H333cjOzsaFCxewdu1afPrpp9i0aRMEQcBjjz2GRYsWoUePHujRowcWLVqEtm3bYty4cQCA5ORkPPLII5gxYwbS0tKQmpqKmTNnom/fvmJ03V69emHUqFEoKirCa6+9BsC7tMuYMWMiGkkXiLAxOm3aNDz00EOKabp3744FCxZgx44dQb7WeXl5ePjhh/HGG28gKysLO3fulOyvra1FU1OTRMYOnKRbU1MDAGHTxMbGIi0tLWQdnU6noh84QRDRD/Vzgri2oT5OEIQa1M4ZVcu3336L8ePH49SpU0hOTsbNN9+MTZs2YcSIEQC8wVsvX76MKVOmoLa2FoMHD0ZJSYm4xigAPP/884iNjcWDDz6Iy5cvY/jw4Vi1apW4xigArFmzBtOnTxenI44dOxYvvviitsqaQESN0fT0dKSnp4dN98ILL2DBggXi3ydPnkRhYSHefvttMURxfn4+Fi5ciFOnTok+1SUlJXA6nRg0aJCYZvbs2WhsbER8fLyYxuVyoXv37mKawMVfS0pKkJeXF3K+aDh4z/UE7Kd8qsnHSgVU6TjuQQpUjORqVTy1KC1uyZxQc0Za/RVXo0orrzmsdlKTAueGm6XE8fCKiLT6yXfuqHmKpx6102ibjITab2fsej14Klp6lKFomuMpqQfPQEUGvUCU8tCjZprh/WUGRhRNH3rniYYqO0YucTTAWRldsWKF4n5BEDBv3jzMmzdPNk2bNm2wfPlyLF++XDZNamoqVq9era1yFhAVc0a7du2K3Nxc8XfjjTcCAK6//np06dIFADBy5Ej07t0b48ePR3l5OT766CPMnDkTRUVF4uThcePGwel0YuLEidi/fz/Wr1+PRYsWiZF0AWDy5Mk4duwYiouLcejQIfz5z3/GihUrMHPmzMicPEEQBEEQBEEQtkBgLOyPUE/URNMNR0xMDD744ANMmTIFt956KxISEjBu3DgsWbJETJOcnIzNmzdj6tSpyMvLQ0pKCoqLiyVzRHJycrBx40Y8/vjjeOmll+ByufDCCy9oXtYFaBnhi5Tq6a2DNcqnmnysmgMK8I2Y5z1GTmnlEwEwqLwQdfGEiF5pZsRJtzg/lEPY+GZ1lcccVo/NxtDk5oZHYi642RGwrTi+JR/Oc2o1z+HW11Z5KHp2Uv4jhZ2uQQxYULvmqWrpmqscZYqn2rx5rQhgxAuEpwKq7tvJ/LbuhsNQm9WrqirNT6U5o4SPqDRGu3fvLgYV8qdr1654//33FY/t27cvtm7dqpimoKAAe/fuNVRHwPsw9D0QtXyg8DQ0AesCixh96Frldqt8nHajU/1Hs0E3Pose3B6Na34qwcugDXQVNmspHD0oLeHEeyDKCmOTRx7hj4+MoanHwNFjXPI0pOzU1q3ETucthAm2wiu4kdbnZDQZmYD1z0MjAYR4BiwyO4iaHB6/96be97nvHa7XNVfpekUyiJNRwkXMtdEyyVFBVBqjBEEQBEEQBEEQVsM7gFFrh4xRExHAgkb3rFY91ebFa0mFcKNvYRek5rj8it7AQ3Kj08qqLv+gK1biHwiJhwLLS12VU1bt5Kjr7wERCju63lujnhp7FqjNBzBnKoTe/KVl8e3vZgUpswuhlqeyA0reD/7wuD9a24wdFE+An3ut1jzNCp6odKweBdSI4qn1PdqiZuov06eqGlFUw11fctMlfJAxShAEQRAEQRAEoQJy0+ULGaMmIqeYWK16qs1LbX5mqZ/ifo7Lr1ipgGoZQbSLwuE2OPoZlJ+B+SWBeOebGJ+DYzahPCAC0aTc2WC5JXXHG1c+I6l66ps/qq/dmdHf7dQHjCC3PJW9vB+YaQGDZPPQokqaqKZGuv+ZHzyR77JzemJfaEHpurk5eiTpVVW1KKp2mheuGVJGuULGqIk4FIIe8DQO1ebH05XUiMFpZI0wnhFvzTA6rf5g0YNH5uPPCLyMWrXuwnZy7wnnputDS53tEOHae7y5A08Av0jCWvJryVdbOzLaX8wyIO3UH5TQEhHcTsa2nqBpRgPR6IvCHj1GJmDt940ZgYe0Rvo3I0K07954IHDJ360wCKx4nA7XYJ7BmiyHMQgehfrT0i6aIGOUIAiCIAiCIAhCBeSmyxcyRk0kBsbWnmrJh7eKalz5VJOP3qAu4ZVTbQoooORSw18B1a62WKMA+Fx4eCmyPBVWrcqqrVSTMMs++KMllL117rqRcbuXlMFpWZuW/MxVPI22PzOVTDv1DXeAs62W87aT2qs2gJEcRu6J5gBFGq8b7wBrYr4RmUJkxF2Xr9ut3mXn9GI0X0/zeqB6vkf0qqlRDbnpcoWMUYIgCIIgCIIgCBXQ0i58IWPURNQoJpFQPb35WRNchPf8T+9x/BTQ8KqOPgVU6+iiWaOK0uAg/MpwMwcXhdWnrmpWpmzmA6N18W7rl26KrPrJU/nU0u60tBN9c/T094FIKwm8vBkUyzBwjpG+Pv7EwMOlPnrVVX3BtiKreAL2jI3BUwHV+9yzyhsqHG6/Odx6lNXWrKaSMcoXMkYJgiAIgiAIgiDUwJhykCIKYKQJMkZNJAbM8ii33vysXUzeyLIWvBVQQLsKamT+p9K5aQ63z2GSgW+kUm8dwuEWlUw+Ufv0qqt2Cgkf4/dvO88Fj7T6qe5ZovJcTVI89SidRvuY3VR+tZhdbztdF6NzRgPR+/zU+o7guXyKJF/Oc9+15GumJwjvOaB6v33MxmPwPd4Sf8KYmmoXhVgPFMCIL2SMmgxvQ9ObJx8XW8C64CJWGp1Kx8mVpdflVt1aWuYFoHAHLJVgRnAEfwOX59ItRl5EdnqJBbrjm/GhxmsgKtIGp5oPMLVGiFlGpt42btR4stMAix2w6/Xg+ezR87y2g1ttJPM1OwCjnsCLZgy4m4HPtd5I3/LAodst11u2/1rCUWyxUQAjrpAxShAEQRAEQRAEoQLBo7zOqOIapEQQZIyaiHeET9skbZ4utoC1yyqEd2m1xu02XFnyS8NoV0B5L0nRUl5wvm4EBwwxUyE04ooTiOiaw0HtCFwuItLIuePzVuPsEHRM3fH6nwNiGhNUT61tT69qwUPRs5PyHynsdA1CuRTyVHV0BSiygeJpRt528ALhqYDyft7pxQ2HISXWiKoqp6baqY9rhdx0+ULGKEEQBEEQBEEQhBrITZcrZIyaiMMvHLyW4Ac8VU9vPawJLGJ0BNCqOaDe47SprXqDFEjzNvZ0Mnq8WtwGwrUH5cVJXQ2ct2qn+WRKSzhFYi64FcusGFU/1asffFVPPcqAnrbGc8Q/mpc/MIKd+rgAZvoyHfqCZ0WP4unN09rnoR71M9yxeuaAmh1ETQ6PX0wJvc+RlqCF2p+d4dRUO/VxrZAyyhcyRk0kMAKflocBL0NTbV68oliGj2KnLziBHdxulfNTGRnVxg9fMcIeB6OXl0ErZ8zaKfCB/6BTyP02dL23ItCQ0WeB2nzU1EVSroXGJW9D0k7t3gwCo4HbBbWRP3kYEmatWawnfzMCf/EemDdrrXPvsdq+R/QOtiuh5xniMyCNtkePgbVA1bgF22vCjUY8zPtT2k+ohoxRgiAIgiAIgiAIFQgMULL1SRnVBhmjJhIjo5hYrXp68+KnLhhRPIyoHHqWX1EcqdThdqU0qqxFcbHLxH3/pWF4qLa81VXZ+2qT6weoW4OQt1dENLja8gpWYpbqqS+wmL52Z4aiaac+YATpM8ieyz4oueKHgsfzz8zyzFrqKFLTkey01jmPKRt66gO0uMXyWoJNj7Lqcw1W9Wy3sadYWBjz/pT2E6ohY5QgCIIgCIIgCEIFNGeUL2SMmojSPBO1o752VD4BYwtTh59HoF0BVSrTSgVUi1phVUCiQPyXiOGlrrTM7bRGXY3UtQuFnAdEUDoN19oOyy0B5s0B11IHwDzFU+vIvFG1ziw10079IRyBS1RFg/dDDMyfyxlcpo5gW1GkeALWeomZEXhIqwpqZGkV2To0l+UxuHSLDzcTLJunyjNYk+VQNF2ukDFKEARBEARBEAShAsHNICgY/4KbrFEtkDFqIg5O4eB5RboV03FQPtXkoycCrvc4fWqLnqh5Ziig2kfQrXtoeZjAVUXhHTUXUNfe7TSfTG2kTUBbva1acsls9ZOX8mknxdNoezdTybRbxG6fp4MPteduJ7VX65zRQIyci/ZouRrbPudo3wB/LxC1eRrxBNE6B1TpGKWyzOqfRvMVPZJ0LuES1fM/dSAwBkFhXqjSPiKYqDFGu3fvjmPHjkm2/eY3v8HTTz8t/n38+HFMnToVH3/8MRISEjBu3DgsWbIE8fHxYpqKigpMmzYNu3btQmpqKiZNmoQnn3wSgtDiOrRlyxYUFxfjwIEDcLlceOKJJzB58mTNdVbzkRoJQxOwLrgIb5dbb578jE6965Eq5QloNzDNfJC7/T4GeRm+HjFQgrH89BqzdnLhA8wzZqxY3xcw3+DkaWxqci/kbPwH18WAkRHBjzfe7vlK6D1PWw04gVkelEhavvbjIm1kAvacjsTT6NT73LPT+8vIFJtWbcCSmy5XosYYBYCnnnoKRUVF4t/t2rUT/+12uzF69GhkZGRg27ZtOHv2LCZMmADGGJYvXw4AqK+vx4gRIzBs2DDs3r0bR44cwcSJE5GYmIgZM2YAACorK3HPPfegqKgIq1evxmeffYYpU6YgIyMD999/v7UnTBAEQRAEQRCEfaBoulyJKmO0ffv2yMrKCrmvpKQEBw8eRFVVFVwuFwDgueeew8SJE7Fw4UIkJSVhzZo1uHLlClatWgWn04nc3FwcOXIES5cuRXFxMQRBwKuvvoquXbti2bJlAIBevXphz549WLJkiWZj1AGP5YGFAOsXkzemLvJVQL15alNBjbjcKo0+ax3147UcitF6KOfvC1JgvK5GXIZt5cLnVxc7u99HWv1Uc21UP+NMUjx1BY0x2L/spJJoxcy62+m6GHXTDUT3EkEmedyYpXhqzTvSniC83W71fvuYjb+3lJ5+xktNNSOgk1UIHgbBo+Cmq7CPCCa8j42NeOaZZ5CWlob+/ftj4cKFaGxsFPeVlpYiNzdXNEQBoLCwEA0NDSgrKxPTFBQUwOl0StKcPHkSR48eFdOMHDlSUm5hYSH27NmDpqYmE8+OIAiCIAiCIAg7I3jC/wj1RI0y+uijj2LgwIFISUnBrl27MGvWLFRWVuJPf/oTAKC6uhqZmZmSY1JSUhAfH4/q6moxTffu3SVpfMdUV1cjJycnZD6ZmZm4evUqzpw5g06dOgXVraGhAQ0NDeLf9fX14r95q54Av/megHXBRayaA9qSpzYVVO/8T3ULO6sfIdM68u2bu6mnLC2Iczs5LaYNGFNXlaLYmYVcPw+cG65tGRJrvSIirX6qCp7GeZ6Zt1wNfVBnG7dzUKNoJBLXQ+ldDvBVs/Q+/zR73JgQTEh7vvyeiWYHYNQTeNEM7y8z8HB4j7vh4Kam2i3YmibITZcrETVG582bh/nz5yum2b17N/Ly8vD444+L226++WakpKTgxz/+saiWApAEIfLBGJNsD0zDmhuM1jT+LF68OOR5+D67ebvXasnTykiWRh66PN1udeenY60xNR9Mej46QuUbygXXzEi8/oYut0BFHF4+7gg5dMj382B3fK3uR1ZFuAYib3DyWkPVW5Z5RqZe45JPoBv6kInEgJNSHw9s1zzvkZ7noh2MTG/efAff7Bztn+c652rz5YWbOQwZv0YMWTkD1k6u+JqhAEZciaib7rRp03Do0CHFX25ubshjhwwZAgD46quvAABZWVmiAuqjtrYWTU1NotIZKk1NTQ0AhE0TGxsrGr2BzJo1C3V1deKvqqpKy2UgCCIKoH5OENc21McJglCDb2kXpR+hnogqo+np6UhPT9d1bHl5OQCIbrP5+flYuHAhTp06JW4rKSmB0+nEoEGDxDSzZ89GY2OjuNxLSUkJXC6X6L6bn5+PDRs2SMoqKSlBXl4e4uLiQtbF6XRK5qH6iIEHMc2jSZFSPQHrAosYUT+9ZfBTQHm73fJYxsWoYmKV25pbbLN8ghQBfIMzxYRQKaxArp87IN8XI+F+b8UyK0bVT97Kp/pgUDoUKD1BjSKsml0L2KqPC0yX54wW9LTNaFI8Af5eYmatde49VluQI70BF4Pz5/ueN7oWeIt7rfZ6hVNTo9pN18MAt8I1oQBGmoiKAEalpaV4/vnnsW/fPlRWVuKdd97BpEmTMHbsWHTt2hUAMHLkSPTu3Rvjx49HeXk5PvroI8ycORNFRUVISkoCAIwbNw5OpxMTJ07E/v37sX79eixatEiMpAsAkydPxrFjx1BcXIxDhw7hz3/+M1asWIGZM2dG7PwJgiAIgiAIgog8pIzyJSoCGDmdTrz99tuYP38+Ghoa0K1bNxQVFeGJJ54Q08TExOCDDz7AlClTcOuttyIhIQHjxo3DkiVLxDTJycnYvHkzpk6diry8PKSkpKC4uBjFxcVimpycHGzcuBGPP/44XnrpJbhcLrzwwgu61hj1hoP3n3fHf6TRivmeLWUZn/vAO/CQUp5WKqBqRzPtHKSkRXnkU0c3BMMKkdy8VTtdR38PiFDwXGoJ4DMP3IpAQ0afBS3l8HnGaS1XUgeLgs2Ez88+7d4MQs2LtwNqvTF4zIHTqkCZFUjIm7cG5TVCsTGMeILofQ7K3SMjy8TJYWT5FCPlAt7+aERRDdeWrQ7gxBWGMAGMLKvJNUFUGKMDBw7Ejh07wqbr2rUr3n//fcU0ffv2xdatWxXTFBQUYO/evZrqSBAEQRAEQRDENQ5F0+VKVBij0YqcYmK16umrS/jy+CypoKguGlBs9KiWeiLh6lVAtS3hojqpqfhPa+A5r5NHfkrKqp2ijQZ6QISCt1dENMz7VBVpmuszzrwllFrKiFyE3UDs1AeMEBXeDwHLN4XDqOJj5vxOb/78FU+AvxcIYL4niFXLzvGYHxmuXYRaPkUPPmVVTx/UMkc1mqPpCm4GQeH6CErzSYkgyBg1kRiByT5IeQfcsHr9Pr3utmrytyr4kBlGpxYjM1IfW/4GIy+j2GfU8g1UxMfwN5twbrpiOg0fgFa535ux5JI0f+PB09SWJZZp0oe21nqEwiwD0k79IRyBrrhRMeAEZqr7bOgy9Sz3ElkjU2u+Vg7M6zE6eQdd5G18+ZdvxKXWH697rb58PHBoehZF03MrCFJGuULGKEEQBEEQBEEQhBrIGOUKGaMm4oAHDhnFRFvADZWBASxeTN5ql9uWY/kFHzJDAdU62mdlSGsP+I5GtiwDYywfre7CdhpRVfKACETbcgnWBB4z0+1eTf7hyhDLMkn1icTSLWa2Xzv1DSBYCY3GYG9a3XT9MeIyqUXpFI/RWF6kXGvF8jl6iRnxBNG1TBznZeeMwGNaDKBPveXlHhxVkDHKFTJGCYIgCIIgCIIgVEBzRvlCxqiJeEdT+QQ24Tnf01uu+cFFws4r1TH/M1y+WhXQ8HWU3yc/X0Q7MSYGNPJ/JvJSYX13h9dorFZl1S4BoHzwVjzFtDZYconHvE+eyqfqJXC0eihoVKGMtv1IKn+854orofc87aSMer2ceASgsS5wVqQVT8CesTF4KqC655TaaD60L4CY2cGKgo5VsfSLrSFllCtkjJqIQ2Vgk0gYmt5yzXex0+tyayRfrYanEZdbJeNOq4Gppq2Ewx2ivjwNXZ9hy8OoNeIybKeXmKP5TAB7u99HKuiYmL+KDzAzDE1t7r163CKNBjUydHhEMbPudrouDug3JEOhNyqzlkBCWsoxy8j05h09g2+83W71DribjdvvDa7HMOZlwEZzNF14GKB07dSM1BEiVk5XIwiCIAiCIAiCiF58yqjSTwOLFy/GLbfcgvbt26Njx4744Q9/iMOHDwcUyTBv3jy4XC4kJCTgjjvuwIEDByRpGhoa8Otf/xrp6elITEzE2LFj8c0330jS1NbWYvz48UhOTkZycjLGjx+P8+fP67oMvCBl1ES0hIPXNnrIx8VWbblGVY9wI4C8Aw8p7ZcbbVd20VEoR8XovRbFU+voUOCV5aGuhsKnuPJQWXmoq3YaRQt0x9e0ZILFXhFmBR0D+Cmfqj07TFI8dav1BvuGndxS7YCdvB988FSztKqceutgRjAhb77mLPdiNOCatzz930hWKaCR6O8ty6bpb8duOHS7GXuYIDnvqH7mMQ/gUbiOTNs13rJlC6ZOnYpbbrkFV69exZw5czBy5EgcPHgQiYmJAIBnn30WS5cuxapVq3DjjTdiwYIFGDFiBA4fPoz27dsDAB577DFs2LABa9euRVpaGmbMmIExY8agrKwMMTFeD65x48bhm2++waZNmwAAv/rVrzB+/Hhs2LBBx4XgAxmjBEEQBEEQBEEQavAwQMmY1uim6zMMfaxcuRIdO3ZEWVkZbr/9djDGsGzZMsyZMwf33XcfAOCNN95AZmYm3nzzTUyaNAl1dXVYsWIF/vrXv+Kuu+4CAKxevRrZ2dn48MMPUVhYiEOHDmHTpk3YsWMHBg8eDAB4/fXXkZ+fj8OHD6Nnz56a6s0LMkYtwJSF3W2kfLbkY1YwI+3qKM/AQ0pqoLo5wdoJFfjKHcLtw0yF0P9uGlVc/eeyGlVX7RakLtTccC2qjp2CjoUrx8gccDX5qy1HS15a0knroPkQ3WUFlW04h+jHTtcgJqCP61U1lfLXfEyUKZ7eelgz/91bFn8vELMUUCsCGgWqkloxoqr65qgGnqdgo0BOmmEeZfVTozIaSF1dHQAgNTUVAFBZWYnq6mqMHDlSTON0OlFQUIDt27dj0qRJKCsrQ1NTkySNy+VCbm4utm/fjsLCQpSWliI5OVk0RAFgyJAhSE5Oxvbt28kYJQiCIAiCIAiCsDUqo+nW19dLNjudTjidzjBZMxQXF+P73/8+cnNzAQDV1dUAgMzMTEnazMxMHDt2TEwTHx+PlJSUoDS+46urq9GxY8egMjt27CimiQRkjJqI/1yySKmeasq2aq5XeFWFnwLKew6okjKodgQ/3DI/Zh+vFp8CyytiLsA3UnCMwDdCsFGU5oZHYi642ZFvjcwBV5O/1ry0pNOqduqP9swHO7Vzq7HTuTsEDxwyz19e80j1ROuNJsVTSx3svPScHgXU7IjeSrQsn6Y/X72qajg1NZIRhQ2j0k03Oztbsnnu3LmYN2+eYtbTpk3DF198gW3btgXtEwKeQ4yxoG2BBKYJlV5NPmZCxqiJxIBJOrAZLw4rl1TgURbvwEOKxyiVw9noVGsoOkwKMMQDj2js8amjmzHDH+VyrsJmBWrSQ7j1hHkuteQrL2wawwNDxgxOdc8cfoamFiNTl8uu5iOay+LcTO3U7s0i1PJUkSbQTTdkGk4uh1rXM7WDkamlHrwH5s2adqBn2pGe6UbhMGIEGinXPx+9y7/o/d6LCjwMwSEkA/cDVVVVSEpKEjeHU0V//etf47333sPWrVvRpUsXcXtWVhYAr7LZqVMncXtNTY2olmZlZaGxsRG1tbUSdbSmpgZDhw4V03z77bdB5Z4+fTpIdbUSO03LIAiCIAiCIAiCsC8ql3ZJSkqS/OSMUcYYpk2bhnfffRcff/wxcnJyJPtzcnKQlZWFzZs3i9saGxuxZcsW0dAcNGgQ4uLiJGlOnTqF/fv3i2ny8/NRV1eHXbt2iWl27tyJuro6MU0kIGXURLzue8EjJ1arnt68rFtSQSmf8IqKvnx5Bh/Sq4BqUT3tonC4Jcq98Tp5/PIzqrAqKat2GkUL9IAIhdWu90Dk1U81deSpempTXPShV+k0o7/bqQ8YQW55Krs8IwGv6mlWwKDQ5WlUR22geHrrwdcLRG35xgIk6nPl1brsHJfAZmG6hC+Aq9GyWtxr9eXjhqDq29SKwE2m4fFAWRnV1ienTp2KN998E//v//0/tG/fXpy/mZycjISEBAiCgMceewyLFi1Cjx490KNHDyxatAht27bFuHHjxLSPPPIIZsyYgbS0NKSmpmLmzJno27evGF23V69eGDVqFIqKivDaa68B8C7tMmbMmIgFLwLIGCUIgiAIgiAIglCHygBGannllVcAAHfccYdk+8qVKzFx4kQAwBNPPIHLly9jypQpqK2txeDBg1FSUiKuMQoAzz//PGJjY/Hggw/i8uXLGD58OFatWiWuMQoAa9aswfTp08Wou2PHjsWLL76oqb68IWPURLxzyWT2cVzYXe2oqFWBRYyon+GO5zkP1AwFVMtofiTnj4rzQznVwaew8lRXFedhRnCifSByHhCBcA9mxOHZYMaSS2r3e/MPm0R1XmKeqlNqVzqN9hcz1Ew79QU1BC5RFQ3eDw54ND/btKqbQcfrUFcjrXh662DP2Bi854AqHacn9oUe/MvxqpHG8/QwY4poYL2UiOo5o+4wS7toVEaZCuNVEATMmzdPMQBSmzZtsHz5cixfvlw2TWpqKlavXq2pfmZDxqiJKLnvaYuuZi9jU00aswxOwP5Gp/aPFus+Jlsi5fIpk6dRq8WgtVMgKKVBp6C0Wj7qbBDl2qjBydPYNMvI1NN2jRpKZvZ5O/UNH3rc9+1kZIcLUqZ4rAGXXS3GpVieZhffyLjWai7f5ME3rW634fPTfowReLnm6jFoebkHRxOMecAUjFGlfUQwZIwSBEEQBEEQBEGogbEWK1xuP6EaMkZNRBCYofX6pGn5jR6qzc+om134oC4Kx+oIPKSUp9yodjgVQY8CqmcE3WGiU5rHr53xXLYFMK7CSBSTKHFxDgVvxbMl38gvuWSm270kHxVpzFQ8tfZAo30pUm2Yd2AgNUux6DlXO/Vxh4qlXdTlo+8D1Sy1EzBP8dRSDysDMfJUQHkHXIwELWuBa2+bRtXUqFZSGYPiOqNkjGqCjFGCIAiCIAiCIAg1uN2A4JbfzxT2EUGQMWoi3oWy1aSzXvVUm07NiJcZ8z+9+WpXQL15alNB9c7/DKeMaFU7ec/j1FsP5by946g8FFbv0i368rGTauJt/9oXB7d6LriR+Z9G1U+1LVD93FstKrp69Hk1GGuLdlrCxB8HhKBnSSjMqr+d+rg3SBk/pUNPcCM9KhLvJaX01CWaPEF4zwHV6/1lBe7mauv5OuClpvIO6GQlzOMBU+g3NGdUG3byFgjLBx98gMGDByMhIQHp6em47777JPuPHz+Oe++9F4mJiUhPT8f06dPR2NgoSVNRUYGCggIkJCSgc+fOeOqpp4KiWG3ZsgWDBg1CmzZtcN111+HVV181/dwIgiAIgiAIgrA5vqVdlH6EaqJGGV23bh2KioqwaNEi3HnnnWCMoaKiQtzvdrsxevRoZGRkYNu2bTh79iwmTJgAxpgY4ri+vh4jRozAsGHDsHv3bhw5cgQTJ05EYmIiZsyYAQCorKzEPffcg6KiIqxevRqfffYZpkyZgoyMDNx///2a6qwUTTeQSKie3nL55GVkBJDnHNCW47SpoHoV0HCqo/bIutrHh9wBI3BmKAo+hYSHyspDXbVTpM3AueF2ngtuZP6nUfWTt+ppluKpt/8YX/bFPm3aRyTrZMfrYXS5FkleOpVWLXM8AXMi2wLmeIGoqQMPLxClNFYpoJHwiPCf361XmXUz/SqWB9LryNPbwHI8DFBqi2SMaiIqjNGrV6/i0Ucfxe9//3s88sgj4vaePXuK/y4pKcHBgwdRVVUFl8sFAHjuuecwceJELFy4EElJSVizZg2uXLmCVatWwel0Ijc3F0eOHMHSpUtRXFwMQRDw6quvomvXrli2bBkAoFevXtizZw+WLFmi2Rj1wdvQVJvW6mUV9LrchstfT/AhnoGHlAwwNR9MegxMuTI9IV7qevJXg7+RyzNQkVGDNtQ1iCSh3PHN+KizIuhYuDx4GJxqPsLUu/WqNVy1t1+9H4s8jCg7DbZECjtdg8ClXXgHXtFqYALRZ2SqrYfZxmZLOdqPNcPotMo90WsIGutTbjBdRqycS3BUuWYGwNweMIU5o+Smq42oaAt79+7FiRMn4HA4MGDAAHTq1Al33303Dhw4IKYpLS1Fbm6uaIgCQGFhIRoaGlBWViamKSgogNPplKQ5efIkjh49KqYZOXKkpPzCwkLs2bMHTU1NJp4lQRAEQRAEQRC2hnnC/wjVRIUy+vXXXwMA5s2bh6VLl6J79+547rnnUFBQgCNHjiA1NRXV1dXIzMyUHJeSkoL4+HhUV1cDAKqrq9G9e3dJGt8x1dXVyMnJCZlPZmYmrl69ijNnzqBTp05B9WtoaEBDQ4P4d319PQDvCJ9vlI+36unNn09+vJZUMDoCyFMB1eN2q1cBVatM8nBxNXMJGB8tbrTGy/KpqzzUIn9X4UiMosn1cyV3fG0qQ+SVTzEPpeMNuN2ryb+lHP6utdqXe9HpsstJ1YtMS7cHUdPHOXlqmB3UKNKKp5Y62HnpOT0KKG9PDy20LMOmn5aARdrq53MLlr1m9nF+0AzzMDCF9hwYi4ZQJqLG6Lx58zB//nzFNLt374bH4+0Kc+bMEV1lV65ciS5duuBvf/sbJk2aBAAQQnRkxphke2AaX4PRmsafxYsXhzyPSxf91neMoDEazi8/mo1RuX36jFF5lPNTOFCSR3Q8nNRE0FRL4HxWI/jX60Jz37Lyga+mnwdiR2NUTTu8Vo1RrcZl5I3R1oud+vh3Sn2c0/PSbGNUIGNUuq+VGaNG0PsWD7cG8cUI9HFeXGUNiurnVZAnpRYiaoxOmzYNDz30kGKa7t2748KFCwCA3r17i9udTieuu+46HD9+HACQlZWFnTt3So6tra1FU1OTqHRmZWWJKqmPmpoaAAibJjY2FmlpaSHrOGvWLBQXF4t/nzhxAr1798aIwd8qnhtBEMa4cOECkpOTLSkrsJ9XVlaif//+KBxSrXAUQRBGsEMff2DoUUvKJ4jWiJV93Cjx8fHIysrCtuqNYdNmZWUhPj7eglpFPxE1RtPT05Genh423aBBg+B0OnH48GF8//vfBwA0NTXh6NGj6NatGwAgPz8fCxcuxKlTp0RX2pKSEjidTgwaNEhMM3v2bDQ2NooNpKSkBC6XS3Tfzc/Px4YNGyTll5SUIC8vD3FxcSHr53Q6JfNQ27Vrh4MHD6J3796oqqpCUlKShqsSOerr65GdnU11Nploq7Md68sYw4ULFyRzxM0msJ/7nj3Hjx+PmhepHe9lOKjO1mC3OlMf14fd7qMaqM7WYLc6R6KPG6VNmzaorKwMWjYyFPHx8WjTpo0FtYp+omLOaFJSEiZPnoy5c+ciOzsb3bp1w+9//3sAwAMPPAAAGDlyJHr37o3x48fj97//Pc6dO4eZM2eiqKhI7HTjxo3D/PnzMXHiRMyePRtffvklFi1ahN/97neiC+7kyZPx4osvori4GEVFRSgtLcWKFSvw1ltvqa6vw+FA586dxbrbodNrgepsDdFWZ7vVN9Ifhw6HQ6yHna6LGux2L9VAdbYGO9WZ+rh+7HQf1UJ1tgY71TnSfVwPbdq0ISOTM1FhjALA73//e8TGxmL8+PG4fPkyBg8ejI8//hgpKSkAgJiYGHzwwQeYMmUKbr31ViQkJGDcuHFYsmSJmEdycjI2b96MqVOnIi8vDykpKSguLpa45eTk5GDjxo14/PHH8dJLL8HlcuGFF17QvawLQRAEQRAEQRAEEUzUGKNxcXFYsmSJxLgMpGvXrnj//fcV8+nbty+2bt2qmKagoAB79+7VVU+CIAiCIAiCIAgiPK05WJ+pOJ1OzJ07VzL/xO5Qna0h2uocbfW1imi8LlRna6A6XxtE4zWhOlsD1Zkg+CGwaIypTBAEQRAEQRAEQUQ1pIwSBEEQBEEQBEEQlkPGKEEQBEEQBEEQBGE5ZIwSBEEQBEEQBEEQltNqjdGtW7fi3nvvhcvlgiAI+Mc//iHZzxjDvHnz4HK5kJCQgDvuuAMHDhyQpGloaMCvf/1rpKenIzExEWPHjsU333wjSVNbW4vx48cjOTkZycnJGD9+PM6fPy9Jc/z4cdx7771ITExEeno6pk+fHrSgbkVFBfr164eYmBjExMRAEASsX79eU53PnTuHX//61+jZsyfatm2Lrl27Yvr06airq5Pk0717dwiCIPn99re/jUidAeCOO+4Iqs9DDz1kynVeuXIl0tLSxHJ++tOfwn9adbj6Hj16NKiuvt/f/va3iFzjd999F4WFhUhPT4cgCNi3bx8CsbotFxQUICEhAZ07d8ZTTz0FM6auUx+nPm5Wnamf26OfUx+nPk59XMq11seJVgJrpWzcuJHNmTOHrVu3jgFg69evl+x/+umnWfv27dm6detYRUUF+8lPfsI6derE6uvrxTSTJ09mnTt3Zps3b2Z79+5lw4YNY/369WNXr14V04waNYrl5uay7du3s+3bt7Pc3Fw2ZswYcf/Vq1dZbm4uGzZsGNu7dy/bvHkzc7lcbNq0aWKauro6lpmZyW6//XZWVFTE/vu//5sBYBMnTtRU54qKCnbfffex9957j3311Vfso48+Yj169GD333+/JJ9u3bqxp556ip06dUr8XbhwISJ1ZoyxgoICVlRUJKnP+fPnJfnwus4dOnRgvXv3Zs8//zwDwNq0acOWLFmiur5Xr16V1PPUqVNs/vz5LDExUXINrbzGf/nLX9j8+fPZ66+/zgCw8vJyFojVbfmhhx5iFRUVbN26dax9+/aSa8wL6uPUx82qM/Vze/Rz6uPUx6mPS7nW+jjROmi1xqg/gS8xj8fDsrKy2NNPPy1uu3LlCktOTmavvvoqY4yx8+fPs7i4OLZ27VoxzYkTJ5jD4WCbNm1ijDF28OBBBoDt2LFDTFNaWsoAsH//+9+MMe/L1OFwsBMnTohp3nrrLeZ0OlldXR1jjLGXX36ZJScnsytXrkjqnJKSwjwej+o6h+Kdd95h8fHxrKmpSdzWrVs39vzzz8seY3WdCwoK2KOPPipbH7OuMwD2X//1X8zlcjGPx6P7Gvfv35/94he/kGyz6hr7U1lZGfIFFum2vHjxYvEamwX1cerjvOscCPXzyPZz6uPUx3nXORDq45F/lxPXJq3WTVeJyspKVFdXY+TIkeI2p9OJgoICbN++HQBQVlaGpqYmSRqXy4Xc3FwxTWlpKZKTkzF48GAxzZAhQ5CcnCxJk5ubC5fLJaYpLCxEQ0MDysrKxDQFBQVBa0PV1tbi6NGjquscirq6OiQlJSE2Nlay/ZlnnkFaWhr69++PhQsXStwzIlHnNWvWID09HX369MHMmTNx4cIFSX3Mus4DBgzAyZMncfToUV3XuKysDPv27cMjjzwStM+Ka6yGSLflwsJC8RpbBfVx6uM86uyD+rn9+jn1cerjPOrsg/q4/fo4ce0QGz5J66O6uhoAkJmZKdmemZmJY8eOiWni4+ORkpISlMZ3fHV1NTp27BiUf8eOHSVpAstJSUlBfHy8JE337t1l65qTk6OqzoGcPXsW//M//4NJkyZJtj/66KMYOHAgUlJSsGvXLsyaNQuVlZX405/+FJE6P/zww8jJyUFWVhb279+PWbNm4fPPP8fmzZvF/My6zh06dBD3sea5EFqu8YoVK9CrVy8MHTpUst2qa6yGSLdl3zFa6mwU6uPUx43W2R/q5/br59THqY8brbM/1Mft18eJawcyRhUQBEHyN2MsaFsggWlCpeeVJtR2tXWur6/H6NGj0bt3b8ydO1ey7/HHHxf/ffPNNyMlJQU//vGPxdE/q+tcVFQk/js3Nxc9evRAXl4e9u7di4EDBxqqT7g0PgNUEATJv5Xy8HH58mW8+eabePLJJ4P2WX2N9WBVW5a7rlZAfZz6uN46+6B+ri5NpPo59XHq43rr7IP6uLo0kXyXE9ENuemGICsrC0DLyKqPmpoaceQnKysLjY2NqK2tVUzz7bffBuV/+vRpSZrAcmpra9HU1KSYxod/mnB19nHhwgWMGjUK7dq1w/r16xEXFxcybx9DhgwBAHz11VcRq7M/AwcORFxcHL788ksxH7Ousy9CYWZmpub6/v3vf8d3332Hn/3sZ7Ln4sOsa6yGSLflmpoazXU2CvVxKa25jxutM/Vze/Zz6uNSqI9TH/eluVb6OHENwX8aavQBmcAHzzzzjLitoaEhZOCDt99+W0xz8uTJkBPFd+7cKabZsWNHyIniJ0+eFNOsXbs2aKJ4hw4dWENDg6TOoSbkK9WZMW8EtCFDhrCCggJ26dIlVddnw4YNDAA7duxYROocSEVFBQPAtmzZwhgz7zoDYOPHjw8KYKS2vgUFBUERDuUw6xr7Ey7oQaTa8tNPPx2xAEbUx7201j7Oo87Uz+3Rz6mPK0N9nPo4Y9Hdx4lrl1ZrjF64cIGVl5ez8vJyBoAtXbqUlZeXiw+Qp59+miUnJ7N3332XVVRUsJ/+9KchQ8J36dKFffjhh2zv3r3szjvvDBlC++abb2alpaWstLSU9e3bN2QI7eHDh7O9e/eyDz/8kHXp0kUSQvv8+fMsMzOT/fjHP2Z/+9vf2HPPPccAsLFjx2qqc319PRs8eDDr27cv++qrryShyH113r59u3gtvv76a/b2228zl8vFxo4dG5E6f/XVV2z+/Pls9+7drLKykn3wwQfspptuYgMGDDDlOmdkZLBRo0axv/3tbwwAczqd7PHHH9fULhhj7Msvv2SCILB//vOfQW3P6mt89uxZVl5ezj744AMGgK1du5aVl5ezU6dORawt//SnP2UVFRXs3XffZUlJSaaEg6c+Tn3crDr7oH4e2X5OfZz6OPXxa7uPE62DVmuMfvLJJwxA0G/ChAmMMe/I2dy5c1lWVhZzOp3s9ttvZxUVFZI8Ll++zKZNm8ZSU1NZQkICGzNmDDt+/LgkzdmzZ9nDDz/M2rdvz9q3b88efvhhVltbK0lz7NgxNnr0aJaQkMBSU1PZtGnTJOGyGWPsiy++YH379jVUZ7lzBsAqKysZY4yVlZWxwYMHs+TkZNamTRvWs2dPNnfu3KDRV6vqfPz4cXb77bez1NRUFh8fz66//no2ffp0dvbsWVOu84oVKwy3C8YYmzVrFuvSpQtzu91B+6y+xitXrgy5f+7cuWI+Vrfl2267jTmdTpaVlcXmzZtnykgq9XHq42bV2Qf188j2c+rj1Mepj1/bfZxoHQiMNc84JgiCIAiCIAiCIAiLoABGBEEQBEEQBEEQhOWQMUoQBEEQBEEQBEFYDhmjBEEQBEEQBEEQhOWQMUoQBEEQBEEQBEFYDhmjBEEQBEEQBEEQhOWQMUoQBEEQBEEQBEFYDhmjBEEQBEEQBEEQhOWQMUoQBEEQBEEQBEFYDhmjBEEQBEEQBEEQhOWQMUoQBEEQBEEQBEFYDhmjBEEQBEEQBEEQhOWQMUq0Wk6fPo2srCwsWrRI3LZz507Ex8ejpKQkgjUjCIIH1McJ4tqG+jhBRD8CY4xFuhIEESk2btyIH/7wh9i+fTtuuukmDBgwAKNHj8ayZcsiXTWCIDhAfZwgrm2ojxNEdEPGKNHqmTp1Kj788EPccsst+Pzzz7F79260adMm0tUiCIIT1McJ4tqG+jhBRC9kjBKtnsuXLyM3NxdVVVXYs2cPbr755khXiSAIjlAfJ4hrG+rjBBG90JxRotXz9ddf4+TJk/B4PDh27Fikq0MQBGeojxPEtQ31cYKIXkgZJVo1jY2N+N73vof+/fvjpptuwtKlS1FRUYHMzMxIV40gCA5QHyeIaxvq4wQR3ZAxSrRq/vu//xt///vf8fnnn6Ndu3YYNmwY2rdvj/fffz/SVSMIggPUxwni2ob6OEFEN+SmS7RaPv30Uyxbtgx//etfkZSUBIfDgb/+9a/Ytm0bXnnllUhXjyAIg1AfJ4hrG+rjBBH9kDJKEARBEARBEARBWA4powRBEARBEARBEITlkDFKEARBEARBEARBWA4ZowRBEARBEARBEITlkDFKEARBEARBEARBWA4ZowRBEARBEARBEITlkDFKEARBEARBEARBWA4ZowRBEARBEARBEITlkDFKEARBEARBEARBWA4ZowRBEARBEARBEITlkDFKEARBEARBEARBWA4ZowRBEARBEARBEITlkDFKEARBEARBEARBWM7/ByOpNplQ+376AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1000x300 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dgm_velmod_cube[\"Vinst\"].thin({\"y\": 100}).plot(x=\"x\", y=\"z\", col=\"y\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7ffb193a1190>]"
      ]
     },
     "execution_count": 20,
     "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": [
    "dgm_velmod_cube[\"Vinst\"].isel({\"x\": 121, \"y\": 121}).plot.line(y=\"z\")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create Vinst profiles for stations from KNMI"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Read station list from KNMI FDSN web service"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "link = \"http://rdsa.knmi.nl/fdsnws/station/1/query?network=NL&format=text\"\n",
    "knmi_stations = xr.Dataset(pd.read_csv(link, sep=\"|\", index_col=1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       " *\n",
       " */\n",
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       "\n",
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       "\n",
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       "\n",
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       "\n",
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       "\n",
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       "  display: inline-block !important;\n",
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       "\n",
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       "  display: inline-block;\n",
       "  padding: 0;\n",
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       "\n",
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       "\n",
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       "\n",
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       "\n",
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       "  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",
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       "\n",
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       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
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       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
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       "\n",
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       "\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",
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       "\n",
       "dl.xr-attrs {\n",
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       "  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",
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       "\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:    (Station: 830)\n",
       "Coordinates:\n",
       "  * Station    (Station) object &#x27;0171&#x27; &#x27;1979&#x27; &#x27;1980&#x27; ... &#x27;ZWE2&#x27; &#x27;ZWE3&#x27; &#x27;ZWE4&#x27;\n",
       "Data variables:\n",
       "    #Network   (Station) object &#x27;NL&#x27; &#x27;NL&#x27; &#x27;NL&#x27; &#x27;NL&#x27; &#x27;NL&#x27; ... &#x27;NL&#x27; &#x27;NL&#x27; &#x27;NL&#x27; &#x27;NL&#x27;\n",
       "    Latitude   (Station) float64 51.04 50.97 50.8 50.87 ... 53.19 53.19 53.19\n",
       "    Longitude  (Station) float64 5.869 5.927 5.973 6.085 ... 5.604 5.604 5.604\n",
       "    Elevation  (Station) float64 35.0 80.0 154.0 145.0 1.0 ... 0.0 0.0 0.0 0.0\n",
       "    SiteName   (Station) object &#x27;Nieuwstadt&#x27; &#x27;Bingelrade&#x27; ... &#x27;Zweins niveau 4&#x27;\n",
       "    StartTime  (Station) object &#x27;2006-01-27T00:00:00&#x27; ... &#x27;2010-03-24T00:00:00&#x27;\n",
       "    EndTime    (Station) object &#x27;2011-11-25T00:00:00&#x27; ... nan</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-27a09ac7-0d04-4aa5-8bbd-584f57e90254' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-27a09ac7-0d04-4aa5-8bbd-584f57e90254' 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'>Station</span>: 830</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-ce88cf4f-78c9-4fcd-aabc-0b7afe50c60a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ce88cf4f-78c9-4fcd-aabc-0b7afe50c60a' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>Station</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;0171&#x27; &#x27;1979&#x27; ... &#x27;ZWE3&#x27; &#x27;ZWE4&#x27;</div><input id='attrs-0183a138-1eff-46d8-83fe-784b79efbb2b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0183a138-1eff-46d8-83fe-784b79efbb2b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-266e58f2-5cdf-43c2-bfa2-d1f09b7d8946' class='xr-var-data-in' type='checkbox'><label for='data-266e58f2-5cdf-43c2-bfa2-d1f09b7d8946' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;0171&#x27;, &#x27;1979&#x27;, &#x27;1980&#x27;, ..., &#x27;ZWE2&#x27;, &#x27;ZWE3&#x27;, &#x27;ZWE4&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9166f834-faf8-454c-80bb-c9f734acbaf9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9166f834-faf8-454c-80bb-c9f734acbaf9' class='xr-section-summary' >Data variables: <span>(7)</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>#Network</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;NL&#x27; &#x27;NL&#x27; &#x27;NL&#x27; ... &#x27;NL&#x27; &#x27;NL&#x27; &#x27;NL&#x27;</div><input id='attrs-9f8c8a6f-8c29-4dfe-8b83-354ee6f0efc6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9f8c8a6f-8c29-4dfe-8b83-354ee6f0efc6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-07be58fe-cdd2-41d1-8ce9-eb63615b4c2f' class='xr-var-data-in' type='checkbox'><label for='data-07be58fe-cdd2-41d1-8ce9-eb63615b4c2f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "...\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Latitude</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>51.04 50.97 50.8 ... 53.19 53.19</div><input id='attrs-03459246-7645-4a72-8610-24c3138db549' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-03459246-7645-4a72-8610-24c3138db549' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a908515-002d-49fc-9bb8-69469b42db62' class='xr-var-data-in' type='checkbox'><label for='data-7a908515-002d-49fc-9bb8-69469b42db62' 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([51.03544 , 50.9708  , 50.8     , 50.86939 , 52.633821, 52.65104 ,\n",
       "       51.5013  , 52.977799, 53.01428 , 53.31482 , 52.661427, 52.661396,\n",
       "       52.6478  , 53.18751 , 53.36786 , 53.22916 , 53.29195 , 50.9708  ,\n",
       "       53.290115, 53.360325, 53.33391 , 53.34726 , 53.35325 , 53.40014 ,\n",
       "       53.34053 , 52.842316, 53.237996, 53.312297, 53.40704 , 53.3112  ,\n",
       "       53.32257 , 53.34442 , 53.36567 , 53.35683 , 51.5043  , 51.5043  ,\n",
       "       51.5043  , 51.5043  , 51.5043  , 51.96884 , 51.96968 , 51.96859 ,\n",
       "       51.96786 , 51.9685  , 51.96962 , 51.97071 , 51.97209 , 51.97421 ,\n",
       "       51.97297 , 52.66055 , 52.632783, 52.670353, 52.659759, 52.839142,\n",
       "       52.1017  , 52.09887 , 52.09897 , 52.09897 , 52.09875 , 52.09842 ,\n",
       "       52.09853 , 52.06011 , 52.05514 , 52.06005 , 53.32729 , 53.100493,\n",
       "       52.7987  , 52.7987  , 52.7987  , 52.7987  , 52.7987  , 52.703377,\n",
       "       52.703377, 52.703377, 52.703377, 52.703377, 52.897564, 52.897564,\n",
       "       52.897564, 52.897564, 52.897564, 53.120205, 53.334777, 52.956616,\n",
       "       53.4064  , 53.4064  , 53.4064  , 53.4064  , 53.4064  , 52.8944  ,\n",
       "       52.8944  , 52.8944  , 52.8944  , 52.8944  , 53.079679, 52.908069,\n",
       "       52.906795, 52.90829 , 52.906704, 52.908257, 52.907097, 53.2562  ,\n",
       "       53.2562  , 53.2562  , 53.2562  , 52.848339, 53.142396, 53.142396,\n",
       "       53.142396, 53.142396, 53.142396, 52.855913, 52.855913, 52.855913,\n",
       "       52.855913, 52.855913, 52.981469, 52.981469, 52.981469, 52.981469,\n",
       "...\n",
       "       52.380554, 52.343227, 52.343227, 52.343227, 52.343227, 52.343227,\n",
       "       52.38933 , 52.38933 , 52.38933 , 52.38933 , 52.38933 , 50.756763,\n",
       "       53.31035 , 53.358604, 53.30612 , 53.306172, 53.306704, 53.311628,\n",
       "       53.232544, 53.096883, 52.544   , 52.544   , 52.544   , 52.544   ,\n",
       "       52.544   , 53.084377, 53.084377, 53.084377, 53.084377, 53.084377,\n",
       "       51.4283  , 53.095674, 50.8669  , 52.866799, 52.9682  , 52.9682  ,\n",
       "       52.9682  , 52.9682  , 52.9682  , 53.071   , 53.115086, 53.115086,\n",
       "       53.115086, 53.115086, 53.115086, 53.236782, 51.891502, 53.036023,\n",
       "       53.2083  , 53.2083  , 53.2083  , 53.2083  , 53.2083  , 53.2083  ,\n",
       "       53.3104  , 52.8135  , 52.7096  , 52.7096  , 52.7096  , 52.7096  ,\n",
       "       52.7096  , 53.3444  , 52.820413, 51.9663  , 53.1995  , 53.1995  ,\n",
       "       53.1995  , 53.1995  , 53.3657  , 53.3568  , 53.079058, 51.913745,\n",
       "       51.913745, 51.913745, 51.913745, 51.913745, 52.074445, 52.074445,\n",
       "       52.074445, 52.074445, 52.074445, 51.978334, 51.978334, 51.978334,\n",
       "       51.978334, 51.978334, 51.841711, 51.841711, 51.841711, 51.841711,\n",
       "       51.841711, 51.978115, 51.978115, 51.978115, 51.978115, 51.978115,\n",
       "       52.103651, 52.103651, 52.103651, 52.103651, 52.103651, 53.0921  ,\n",
       "       53.0921  , 53.0921  , 53.0921  , 53.0921  , 53.0921  , 53.0921  ,\n",
       "       53.0921  , 53.0921  , 53.0921  , 53.0921  , 53.1885  , 53.1885  ,\n",
       "       53.1885  , 53.1885  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Longitude</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.869 5.927 5.973 ... 5.604 5.604</div><input id='attrs-8c49f068-7491-43fd-9301-c83047a35635' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8c49f068-7491-43fd-9301-c83047a35635' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d092572-d917-40f6-8917-1c5c016e96c8' class='xr-var-data-in' type='checkbox'><label for='data-1d092572-d917-40f6-8917-1c5c016e96c8' 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([5.86908 , 5.9268  , 5.9727  , 6.08469 , 4.744356, 4.723407,\n",
       "       6.1942  , 6.557414, 6.570557, 6.83539 , 4.7045  , 4.703678,\n",
       "       4.714988, 6.76549 , 6.71359 , 6.70898 , 6.78502 , 5.9268  ,\n",
       "       6.318887, 5.84921 , 6.74663 , 6.64225 , 6.6472  , 6.75483 ,\n",
       "       6.8125  , 7.032279, 6.393218, 6.692137, 6.67266 , 6.74837 ,\n",
       "       6.7861  , 6.70989 , 6.77512 , 6.75474 , 4.9212  , 4.9212  ,\n",
       "       4.9212  , 4.9212  , 4.9212  , 4.92793 , 4.92881 , 4.92949 ,\n",
       "       4.92801 , 4.92642 , 4.92692 , 4.92579 , 4.92395 , 4.92298 ,\n",
       "       4.92662 , 6.783616, 6.705706, 6.652457, 6.745131, 6.049736,\n",
       "       5.1767  , 5.17589 , 5.17621 , 5.17685 , 5.17683 , 5.17653 ,\n",
       "       5.17623 , 5.8873  , 5.88275 , 5.88747 , 5.985255, 6.542946,\n",
       "       6.178458, 6.178458, 6.178458, 6.178458, 6.178458, 6.508147,\n",
       "       6.508147, 6.508147, 6.508147, 6.508147, 6.308405, 6.308405,\n",
       "       6.308405, 6.308405, 6.308405, 6.103262, 6.105404, 6.577619,\n",
       "       6.4817  , 6.4817  , 6.4817  , 6.4817  , 6.4817  , 6.6337  ,\n",
       "       6.6337  , 6.6337  , 6.6337  , 6.6337  , 6.811594, 6.865355,\n",
       "       6.865549, 6.86401 , 6.865989, 6.867829, 6.865533, 5.5481  ,\n",
       "       5.5481  , 5.5481  , 5.5481  , 6.17885 , 5.886762, 5.886762,\n",
       "       5.886762, 5.886762, 5.886762, 5.930424, 5.930424, 5.930424,\n",
       "       5.930424, 5.930424, 5.712568, 5.712568, 5.712568, 5.712568,\n",
       "...\n",
       "       6.905661, 6.909716, 6.909716, 6.909716, 6.909716, 6.909716,\n",
       "       6.996486, 6.996486, 6.996486, 6.996486, 6.996486, 5.906114,\n",
       "       6.677621, 6.770835, 6.85455 , 6.854867, 6.847364, 6.884254,\n",
       "       6.092683, 6.184182, 6.6693  , 6.6693  , 6.6693  , 6.6693  ,\n",
       "       6.6693  , 6.833631, 6.833631, 6.833631, 6.833631, 6.833631,\n",
       "       6.0937  , 5.955347, 5.7847  , 6.215673, 7.0972  , 7.0972  ,\n",
       "       7.0972  , 7.0972  , 7.0972  , 6.3512  , 6.839044, 6.839044,\n",
       "       6.839044, 6.839044, 6.839044, 5.99843 , 4.371541, 6.604592,\n",
       "       6.7355  , 6.7355  , 6.7355  , 6.7355  , 6.7355  , 6.7355  ,\n",
       "       6.7471  , 6.6695  , 4.7498  , 4.7498  , 4.7498  , 4.7498  ,\n",
       "       4.7498  , 6.7099  , 6.198276, 6.7989  , 5.4578  , 5.4578  ,\n",
       "       5.4578  , 5.4578  , 6.7751  , 6.7547  , 6.702562, 4.288099,\n",
       "       4.288099, 4.288099, 4.288099, 4.288099, 4.488386, 4.488386,\n",
       "       4.488386, 4.488386, 4.488386, 4.400113, 4.400113, 4.400113,\n",
       "       4.400113, 4.400113, 4.362561, 4.362561, 4.362561, 4.362561,\n",
       "       4.362561, 4.220353, 4.220353, 4.220353, 4.220353, 4.220353,\n",
       "       4.294567, 4.294567, 4.294567, 4.294567, 4.294567, 6.7533  ,\n",
       "       6.7533  , 6.7533  , 6.7533  , 6.7533  , 6.7533  , 6.7533  ,\n",
       "       6.7533  , 6.7533  , 6.7533  , 6.7533  , 5.6045  , 5.6045  ,\n",
       "       5.6045  , 5.6045  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Elevation</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>35.0 80.0 154.0 ... 0.0 0.0 0.0</div><input id='attrs-c7733548-2ec0-480b-8aa3-07f5a8baae3b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c7733548-2ec0-480b-8aa3-07f5a8baae3b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-466626e6-ccf5-4e30-892f-a25e198737c3' class='xr-var-data-in' type='checkbox'><label for='data-466626e6-ccf5-4e30-892f-a25e198737c3' 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([ 3.500e+01,  8.000e+01,  1.540e+02,  1.450e+02,  1.000e+00,\n",
       "       -1.000e+00,  0.000e+00,  9.500e+00,  1.200e+01,  0.000e+00,\n",
       "        2.000e+00,  1.000e+00, -1.000e+00,  1.000e+00,  1.000e+00,\n",
       "        1.000e+00,  1.000e+00,  8.000e+01,  2.000e+00,  1.200e+00,\n",
       "        1.000e+00,  2.000e+00,  0.000e+00,  1.000e+00,  1.000e+00,\n",
       "        1.250e+01, -1.000e-01,  1.000e+00,  2.000e+00,  1.000e+00,\n",
       "        0.000e+00,  1.000e+00,  1.000e+00,  1.000e+00,  2.000e+01,\n",
       "        2.000e+01,  2.000e+01,  2.000e+01,  2.000e+01, -1.000e+00,\n",
       "       -1.000e+00, -1.000e+00, -2.000e+00, -2.000e+00, -1.000e+00,\n",
       "        0.000e+00, -1.000e+00, -1.000e+00, -2.000e+00,  9.700e+00,\n",
       "        8.900e+00,  9.900e+00,  1.070e+01,  2.400e+00,  3.000e+00,\n",
       "        4.000e+00,  3.000e+00,  1.000e+00,  2.000e+00,  2.000e+00,\n",
       "        3.000e+00,  5.200e+01,  4.900e+01,  4.900e+01,  6.000e-01,\n",
       "        6.700e+00,  1.700e+00,  1.700e+00,  1.700e+00,  1.700e+00,\n",
       "        1.700e+00,  1.120e+01,  1.120e+01,  1.120e+01,  1.120e+01,\n",
       "        1.120e+01,  8.600e+00,  8.600e+00,  8.600e+00,  8.600e+00,\n",
       "        8.600e+00,  1.400e+00,  1.000e-01,  1.230e+01,  1.000e+00,\n",
       "        1.000e+00,  1.000e+00,  1.000e+00,  1.000e+00,  1.700e+01,\n",
       "        1.700e+01,  1.700e+01,  1.700e+01,  1.700e+01,  2.100e+00,\n",
       "        6.000e+00,  7.000e+00,  6.000e+00,  4.000e+00,  6.000e+00,\n",
       "...\n",
       "        2.000e+00,  2.000e+00,  1.900e+00,  3.700e+00,  1.100e+01,\n",
       "        1.100e+01,  1.100e+01,  1.100e+01,  1.100e+01,  1.700e+00,\n",
       "        1.700e+00,  1.700e+00,  1.700e+00,  1.700e+00,  2.500e+01,\n",
       "       -4.000e-01,  9.000e+01,  7.600e+00,  7.000e+00,  7.000e+00,\n",
       "        7.000e+00,  7.000e+00,  7.000e+00,  7.000e+00,  1.500e+00,\n",
       "        1.500e+00,  1.500e+00,  1.500e+00,  1.500e+00,  1.400e+00,\n",
       "        4.000e+00,  7.600e+00, -2.000e+00, -2.000e+00, -2.000e+00,\n",
       "       -2.000e+00, -2.000e+00,  7.000e+00,  0.000e+00,  1.700e+01,\n",
       "       -1.000e+00, -1.000e+00, -1.000e+00, -1.000e+00, -1.000e+00,\n",
       "        0.000e+00,  2.600e+00,  4.300e+01,  0.000e+00,  0.000e+00,\n",
       "        0.000e+00,  0.000e+00,  0.000e+00,  0.000e+00,  3.600e+00,\n",
       "       -2.000e+00, -2.000e+00, -2.000e+00, -2.000e+00, -2.000e+00,\n",
       "       -3.500e+00, -3.500e+00, -3.500e+00, -3.500e+00, -3.500e+00,\n",
       "       -3.000e+00, -3.000e+00, -3.000e+00, -3.000e+00, -3.000e+00,\n",
       "        5.800e+00,  5.800e+00,  5.800e+00,  5.800e+00,  5.800e+00,\n",
       "        6.000e-01,  6.000e-01,  6.000e-01,  6.000e-01,  6.000e-01,\n",
       "        1.400e+00,  1.400e+00,  1.400e+00,  1.400e+00,  1.400e+00,\n",
       "        2.000e+00,  2.000e+00,  2.000e+00,  2.000e+00,  2.000e+00,\n",
       "        2.000e+00,  2.000e+00,  2.000e+00,  2.000e+00,  2.000e+00,\n",
       "        2.000e+00,  0.000e+00,  0.000e+00,  0.000e+00,  0.000e+00])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SiteName</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;Nieuwstadt&#x27; ... &#x27;Zweins niveau 4&#x27;</div><input id='attrs-71843746-bc0f-41a2-a5a7-ad549dd3b472' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-71843746-bc0f-41a2-a5a7-ad549dd3b472' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44835717-c283-4ccc-bfde-d7860b08a957' class='xr-var-data-in' type='checkbox'><label for='data-44835717-c283-4ccc-bfde-d7860b08a957' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;Nieuwstadt&#x27;, &#x27;Bingelrade&#x27;, &#x27;Mamelis&#x27;, &#x27;Rolduc&#x27;,\n",
       "       &#x27;Alkmaar - Theater&#x27;, &#x27;Alkmaar - Bergerweg&#x27;, &#x27;Arcen&#x27;,\n",
       "       &#x27;Assen - Beilerstraat&#x27;, &#x27;Assen - Borgstee&#x27;, &#x27;Appingedam&#x27;, &#x27;Bergen&#x27;,\n",
       "       &#x27;Bergen - Nesdijk&#x27;, &#x27;Bergen - Groeneweg&#x27;, &#x27;Froombosch2&#x27;,\n",
       "       &#x27;Garsthuizen&#x27;, &#x27;Harkstede&#x27;, &#x27;Hoeksmeer&#x27;, &#x27;Bingelrade&#x27;,\n",
       "       &#x27;Kommerzijl&#x27;, &#x27;Blije&#x27;, &#x27;Loppersum&#x27;, &#x27;Middelstum 1&#x27;, &#x27;Middelstum 2&#x27;,\n",
       "       &#x27;Oosternienland&#x27;, &#x27;Oosterwijterd&#x27;, &#x27;Roswinkel&#x27;, &#x27;Briltil&#x27;,\n",
       "       &#x27;Stedum&#x27;, &#x27;Uithuizen&#x27;, &#x27;Winneweer&#x27;, &#x27;Wirdum&#x27;, &#x27;Westeremden&#x27;,\n",
       "       &#x27;t Zandt 1&#x27;, &#x27;t Zandt 2&#x27;, &#x27;Chaam niveau 1&#x27;, &#x27;Chaam niveau 2&#x27;,\n",
       "       &#x27;Chaam niveau 3&#x27;, &#x27;Chaam niveau 4&#x27;, &#x27;Chaam niveau 5&#x27;,\n",
       "       &#x27;Cabauw Infrasound Array&#x27;, &#x27;Cabauw Infrasound Array&#x27;,\n",
       "       &#x27;Cabauw Infrasound Array&#x27;, &#x27;Cabauw Infrasound Array&#x27;,\n",
       "       &#x27;Cabauw Infrasound Array&#x27;, &#x27;Cabauw Infrasound Array&#x27;,\n",
       "       &#x27;Cabauw Infrasound Array&#x27;, &#x27;Cabauw Infrasound Array&#x27;,\n",
       "       &#x27;Cabauw Infrasound Array&#x27;, &#x27;Cabauw Infrasound Array&#x27;, &#x27;Coevorden&#x27;,\n",
       "       &#x27;Coevorden - Hulteweg&#x27;, &#x27;Coevorden - Nieuwe Krim&#x27;,\n",
       "       &#x27;Coevorden - Pampert&#x27;, &#x27;De Blesse&#x27;, &#x27;De Bilt&#x27;,\n",
       "       &#x27;De Bilt Infrasound Array&#x27;, &#x27;De Bilt Infrasound Array&#x27;,\n",
       "       &#x27;De Bilt Infrasound Array&#x27;, &#x27;De Bilt Infrasound Array&#x27;,\n",
       "       &#x27;De Bilt Infrasound Array&#x27;, &#x27;De Bilt Infrasound Array&#x27;,\n",
       "...\n",
       "       &#x27;Delfgauw (niveau 0)&#x27;, &#x27;Delfgauw (niveau 1)&#x27;,\n",
       "       &#x27;Delfgauw (niveau 2)&#x27;, &#x27;Delfgauw (niveau 3)&#x27;,\n",
       "       &#x27;Delfgauw (niveau 4)&#x27;, &#x27;Spijkenisse (niveau 0)&#x27;,\n",
       "       &#x27;Spijkenisse (niveau 1)&#x27;, &#x27;Spijkenisse (niveau 2)&#x27;,\n",
       "       &#x27;Spijkenisse (niveau 3)&#x27;, &#x27;Spijkenisse (niveau 4)&#x27;,\n",
       "       &#x27;Naaldwijk (niveau 0)&#x27;, &#x27;Naaldwijk (niveau 1)&#x27;,\n",
       "       &#x27;Naaldwijk (niveau 2)&#x27;, &#x27;Naaldwijk (niveau 3)&#x27;,\n",
       "       &#x27;Naaldwijk (niveau 4)&#x27;, &#x27;Den Haag - Westbroekpark (niveau 0)&#x27;,\n",
       "       &#x27;Den Haag - Westbroekpark (niveau 1)&#x27;,\n",
       "       &#x27;Den Haag - Westbroekpark (niveau 2)&#x27;,\n",
       "       &#x27;Den Haag - Westbroekpark (niveau 3)&#x27;,\n",
       "       &#x27;Den Haag - Westbroekpark (niveau 4)&#x27;,\n",
       "       &#x27;Zuidlaarderveen 2 niveau 1&#x27;, &#x27;Zuidlaarderveen 2 niveau 2&#x27;,\n",
       "       &#x27;Zuidlaarderveen 2 niveau 3&#x27;, &#x27;Zuidlaarderveen 2 niveau 4&#x27;,\n",
       "       &#x27;Zuidlarderveen 2 time signal&#x27;, &#x27;Zuidlaarderveen 1 niveau 0&#x27;,\n",
       "       &#x27;Zuidlaarderveen 1 niveau 1&#x27;, &#x27;Zuidlaarderveen 1 niveau 2&#x27;,\n",
       "       &#x27;Zuidlaarderveen 1 niveau 3&#x27;, &#x27;Zuidlaarderveen 1 niveau 4&#x27;,\n",
       "       &#x27;Zuidlaarderveen 1 time signal&#x27;, &#x27;Zweins niveau 1&#x27;,\n",
       "       &#x27;Zweins niveau 2&#x27;, &#x27;Zweins niveau 3&#x27;, &#x27;Zweins niveau 4&#x27;],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>StartTime</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;2006-01-27T00:00:00&#x27; ... &#x27;2010-...</div><input id='attrs-908cb190-d3cb-450e-9d81-036717a99b4d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-908cb190-d3cb-450e-9d81-036717a99b4d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-918b6646-9e3a-48e7-a6ed-0cef4d8739ae' class='xr-var-data-in' type='checkbox'><label for='data-918b6646-9e3a-48e7-a6ed-0cef4d8739ae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2006-01-27T00:00:00&#x27;, &#x27;2009-03-10T00:00:00&#x27;,\n",
       "       &#x27;2009-03-10T00:00:00&#x27;, &#x27;2007-12-10T00:00:00&#x27;,\n",
       "       &#x27;2019-11-19T00:00:00&#x27;, &#x27;2019-07-24T00:00:00&#x27;,\n",
       "       &#x27;2018-05-23T00:00:00&#x27;, &#x27;2020-04-14T00:00:00&#x27;,\n",
       "       &#x27;2020-04-24T00:00:00&#x27;, &#x27;2013-10-07T00:00:00&#x27;,\n",
       "       &#x27;2017-12-04T00:00:00&#x27;, &#x27;2019-11-18T00:00:00&#x27;,\n",
       "       &#x27;2019-07-25T00:00:00&#x27;, &#x27;2014-09-17T00:00:00&#x27;,\n",
       "       &#x27;2014-09-17T00:00:00&#x27;, &#x27;2014-09-17T00:00:00&#x27;,\n",
       "       &#x27;2014-09-17T00:00:00&#x27;, &#x27;2014-11-27T00:00:00&#x27;,\n",
       "       &#x27;2015-12-08T00:00:00&#x27;, &#x27;2021-02-18T00:00:00&#x27;,\n",
       "       &#x27;2013-09-23T00:00:00&#x27;, &#x27;2013-09-11T00:00:00&#x27;,\n",
       "       &#x27;2013-09-10T00:00:00&#x27;, &#x27;2013-09-19T00:00:00&#x27;,\n",
       "       &#x27;2013-10-01T00:00:00&#x27;, &#x27;2019-02-28T00:00:00&#x27;,\n",
       "       &#x27;2022-05-20T00:00:00&#x27;, &#x27;2014-09-17T00:00:00&#x27;,\n",
       "       &#x27;2013-10-07T00:00:00&#x27;, &#x27;2014-09-17T00:00:00&#x27;,\n",
       "       &#x27;2013-09-24T00:00:00&#x27;, &#x27;2013-04-24T00:00:00&#x27;,\n",
       "       &#x27;2013-10-24T00:00:00&#x27;, &#x27;2013-09-23T00:00:00&#x27;,\n",
       "       &#x27;2011-07-03T00:00:00&#x27;, &#x27;2011-07-03T00:00:00&#x27;,\n",
       "       &#x27;2011-07-03T00:00:00&#x27;, &#x27;2011-07-03T00:00:00&#x27;,\n",
       "       &#x27;2011-07-03T00:00:00&#x27;, &#x27;2012-07-04T10:30:00&#x27;,\n",
       "...\n",
       "       &#x27;2020-05-28T00:00:00&#x27;, &#x27;2020-05-28T00:00:00&#x27;,\n",
       "       &#x27;2020-05-28T00:00:00&#x27;, &#x27;2020-05-28T00:00:00&#x27;,\n",
       "       &#x27;2020-05-28T00:00:00&#x27;, &#x27;2020-04-06T00:00:00&#x27;,\n",
       "       &#x27;2020-04-06T00:00:00&#x27;, &#x27;2020-04-06T00:00:00&#x27;,\n",
       "       &#x27;2020-04-06T00:00:00&#x27;, &#x27;2020-04-06T00:00:00&#x27;,\n",
       "       &#x27;2021-01-05T00:00:00&#x27;, &#x27;2021-01-05T00:00:00&#x27;,\n",
       "       &#x27;2021-01-05T00:00:00&#x27;, &#x27;2021-01-05T00:00:00&#x27;,\n",
       "       &#x27;2021-01-05T00:00:00&#x27;, &#x27;2020-04-06T00:00:00&#x27;,\n",
       "       &#x27;2020-04-06T00:00:00&#x27;, &#x27;2020-04-06T00:00:00&#x27;,\n",
       "       &#x27;2020-04-06T00:00:00&#x27;, &#x27;2020-04-06T00:00:00&#x27;,\n",
       "       &#x27;2022-04-22T00:00:00&#x27;, &#x27;2022-04-22T00:00:00&#x27;,\n",
       "       &#x27;2022-04-22T00:00:00&#x27;, &#x27;2022-04-22T00:00:00&#x27;,\n",
       "       &#x27;2022-04-22T00:00:00&#x27;, &#x27;1995-04-12T00:00:00&#x27;,\n",
       "       &#x27;1995-04-12T00:00:00&#x27;, &#x27;1995-04-12T00:00:00&#x27;,\n",
       "       &#x27;1995-04-12T00:00:00&#x27;, &#x27;1995-04-12T00:00:00&#x27;,\n",
       "       &#x27;1995-04-12T00:00:00&#x27;, &#x27;1995-04-12T00:00:00&#x27;,\n",
       "       &#x27;1995-04-12T00:00:00&#x27;, &#x27;1995-04-12T00:00:00&#x27;,\n",
       "       &#x27;1995-04-12T00:00:00&#x27;, &#x27;1995-04-12T00:00:00&#x27;,\n",
       "       &#x27;2010-03-24T00:00:00&#x27;, &#x27;2010-03-24T00:00:00&#x27;,\n",
       "       &#x27;2010-03-24T00:00:00&#x27;, &#x27;2010-03-24T00:00:00&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>EndTime</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;2011-11-25T00:00:00&#x27; ... nan</div><input id='attrs-989ab50e-8a49-4d1d-ab52-3292a0237298' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-989ab50e-8a49-4d1d-ab52-3292a0237298' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f0a9dbc1-edce-4aeb-8c87-42ad23c25e10' class='xr-var-data-in' type='checkbox'><label for='data-f0a9dbc1-edce-4aeb-8c87-42ad23c25e10' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2011-11-25T00:00:00&#x27;, &#x27;2014-11-28T00:00:00&#x27;,\n",
       "       &#x27;2015-04-17T00:00:00&#x27;, &#x27;2015-04-17T00:00:00&#x27;, nan, nan, nan, nan,\n",
       "       nan, nan, &#x27;2019-05-21T00:00:00&#x27;, nan, nan, nan, nan,\n",
       "       &#x27;2022-01-22T00:00:00&#x27;, nan, nan, nan, nan, nan,\n",
       "       &#x27;2014-03-11T05:16:01&#x27;, nan, &#x27;2015-08-23T00:00:00&#x27;, nan, nan, nan,\n",
       "       nan, &#x27;2019-12-06T00:00:00&#x27;, &#x27;2019-12-07T00:00:00&#x27;, nan, nan,\n",
       "       &#x27;2019-03-02T00:00:00&#x27;, &#x27;2020-06-01T00:00:00&#x27;, nan,\n",
       "       &#x27;2018-05-25T00:00:00&#x27;, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, &#x27;2010-01-22T00:00:00&#x27;, nan, nan, nan, nan,\n",
       "       &#x27;2009-12-04T00:00:00&#x27;, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, &#x27;2014-09-17T00:00:00&#x27;, nan, nan, nan,\n",
       "       &#x27;2016-06-14T08:00:00&#x27;, nan, &#x27;2010-04-29T00:00:00&#x27;, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "...\n",
       "       nan, nan, &#x27;2014-09-17T00:00:00&#x27;, nan, nan, nan, nan, nan,\n",
       "       &#x27;2019-05-08T13:22:50&#x27;, &#x27;2019-05-08T13:22:50&#x27;,\n",
       "       &#x27;2019-05-08T13:22:50&#x27;, &#x27;2019-05-08T13:22:50&#x27;, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, &#x27;2010-09-01T00:00:00&#x27;, nan, nan, nan, nan, nan,\n",
       "       &#x27;2017-07-06T00:00:00&#x27;, nan, nan, nan, &#x27;2010-10-29T00:00:00&#x27;, nan,\n",
       "       nan, nan, nan, &#x27;2010-10-29T00:00:00&#x27;, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, &#x27;2010-04-29T00:00:00&#x27;, nan, nan, nan, nan,\n",
       "       &#x27;2010-04-29T00:00:00&#x27;, &#x27;2014-09-17T00:00:00&#x27;,\n",
       "       &#x27;2013-12-01T00:00:00&#x27;, nan, nan, nan, nan, &#x27;2010-10-11T00:00:00&#x27;,\n",
       "       &#x27;2013-04-24T00:00:00&#x27;, nan, nan, nan, nan, nan, nan,\n",
       "       &#x27;2013-10-24T00:00:00&#x27;, &#x27;2013-09-23T00:00:00&#x27;, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, &#x27;2018-03-23T00:00:00&#x27;, &#x27;2018-03-23T00:00:00&#x27;,\n",
       "       &#x27;2018-03-23T00:00:00&#x27;, &#x27;2018-03-23T00:00:00&#x27;,\n",
       "       &#x27;2010-05-18T00:00:00&#x27;, &#x27;2016-06-15T11:00:00&#x27;, nan, nan, nan, nan,\n",
       "       &#x27;2010-05-18T00:00:00&#x27;, nan, nan, nan, nan], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e06fa15d-5d17-4cec-bd66-9d3287229466' class='xr-section-summary-in' type='checkbox'  ><label for='section-e06fa15d-5d17-4cec-bd66-9d3287229466' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>Station</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-bcfb8f96-d5b5-4b75-96df-fe64af8c329b' class='xr-index-data-in' type='checkbox'/><label for='index-bcfb8f96-d5b5-4b75-96df-fe64af8c329b' 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([&#x27;0171&#x27;, &#x27;1979&#x27;, &#x27;1980&#x27;, &#x27;1982&#x27;, &#x27;ALK1&#x27;, &#x27;ALK2&#x27;, &#x27;ARCN&#x27;, &#x27;ASS1&#x27;, &#x27;ASS2&#x27;,\n",
       "       &#x27;BAPP&#x27;,\n",
       "       ...\n",
       "       &#x27;ZLV0&#x27;, &#x27;ZLV1&#x27;, &#x27;ZLV2&#x27;, &#x27;ZLV3&#x27;, &#x27;ZLV4&#x27;, &#x27;ZLVT&#x27;, &#x27;ZWE1&#x27;, &#x27;ZWE2&#x27;, &#x27;ZWE3&#x27;,\n",
       "       &#x27;ZWE4&#x27;],\n",
       "      dtype=&#x27;object&#x27;, name=&#x27;Station&#x27;, length=830))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3cab2a9f-29df-405a-af31-1f20e8bf150e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3cab2a9f-29df-405a-af31-1f20e8bf150e' 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:    (Station: 830)\n",
       "Coordinates:\n",
       "  * Station    (Station) object '0171' '1979' '1980' ... 'ZWE2' 'ZWE3' 'ZWE4'\n",
       "Data variables:\n",
       "    #Network   (Station) object 'NL' 'NL' 'NL' 'NL' 'NL' ... 'NL' 'NL' 'NL' 'NL'\n",
       "    Latitude   (Station) float64 51.04 50.97 50.8 50.87 ... 53.19 53.19 53.19\n",
       "    Longitude  (Station) float64 5.869 5.927 5.973 6.085 ... 5.604 5.604 5.604\n",
       "    Elevation  (Station) float64 35.0 80.0 154.0 145.0 1.0 ... 0.0 0.0 0.0 0.0\n",
       "    SiteName   (Station) object 'Nieuwstadt' 'Bingelrade' ... 'Zweins niveau 4'\n",
       "    StartTime  (Station) object '2006-01-27T00:00:00' ... '2010-03-24T00:00:00'\n",
       "    EndTime    (Station) object '2011-11-25T00:00:00' ... nan"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "knmi_stations"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Extend station dataset with UTM and RD coordinates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:      (Station: 830)\n",
       "Coordinates:\n",
       "  * Station      (Station) object &#x27;0171&#x27; &#x27;1979&#x27; &#x27;1980&#x27; ... &#x27;ZWE2&#x27; &#x27;ZWE3&#x27; &#x27;ZWE4&#x27;\n",
       "    x            (Station) float64 1.888e+05 1.929e+05 ... 1.695e+05 1.695e+05\n",
       "    y            (Station) float64 3.385e+05 3.314e+05 ... 5.78e+05 5.78e+05\n",
       "    spatial_ref  int64 0\n",
       "Data variables:\n",
       "    #Network     (Station) object &#x27;NL&#x27; &#x27;NL&#x27; &#x27;NL&#x27; &#x27;NL&#x27; ... &#x27;NL&#x27; &#x27;NL&#x27; &#x27;NL&#x27; &#x27;NL&#x27;\n",
       "    Latitude     (Station) float64 51.04 50.97 50.8 50.87 ... 53.19 53.19 53.19\n",
       "    Longitude    (Station) float64 5.869 5.927 5.973 6.085 ... 5.604 5.604 5.604\n",
       "    Elevation    (Station) float64 35.0 80.0 154.0 145.0 1.0 ... 0.0 0.0 0.0 0.0\n",
       "    SiteName     (Station) object &#x27;Nieuwstadt&#x27; ... &#x27;Zweins niveau 4&#x27;\n",
       "    StartTime    (Station) object &#x27;2006-01-27T00:00:00&#x27; ... &#x27;2010-03-24T00:00...\n",
       "    EndTime      (Station) object &#x27;2011-11-25T00:00:00&#x27; ... nan\n",
       "    x_UTM        (Station) float64 7.012e+05 7.056e+05 ... 6.741e+05 6.741e+05\n",
       "    y_UTM        (Station) float64 5.658e+06 5.651e+06 ... 5.897e+06 5.897e+06</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-43b9ade1-901e-4e18-947a-6665f140c88c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-43b9ade1-901e-4e18-947a-6665f140c88c' 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'>Station</span>: 830</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-be8bb1dd-9e18-4825-aeed-0bf84f50ed1b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-be8bb1dd-9e18-4825-aeed-0bf84f50ed1b' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>Station</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;0171&#x27; &#x27;1979&#x27; ... &#x27;ZWE3&#x27; &#x27;ZWE4&#x27;</div><input id='attrs-242b2af6-529b-450b-bc3a-785a75b31462' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-242b2af6-529b-450b-bc3a-785a75b31462' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d6090586-0930-4334-aded-1bd351db4f23' class='xr-var-data-in' type='checkbox'><label for='data-d6090586-0930-4334-aded-1bd351db4f23' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;0171&#x27;, &#x27;1979&#x27;, &#x27;1980&#x27;, ..., &#x27;ZWE2&#x27;, &#x27;ZWE3&#x27;, &#x27;ZWE4&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.888e+05 1.929e+05 ... 1.695e+05</div><input id='attrs-1867f64a-9173-4007-8c6c-98c0c0a9845c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1867f64a-9173-4007-8c6c-98c0c0a9845c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d533ae21-64ba-48a9-a64c-5004748a02ad' class='xr-var-data-in' type='checkbox'><label for='data-d533ae21-64ba-48a9-a64c-5004748a02ad' 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([188801.15839237, 192902.91786198, 196279.06358713, 204100.87764866,\n",
       "       111480.16632377, 110079.56385624, 211032.85385638, 233599.33422931,\n",
       "       234415.45523525, 251514.81034921, 108811.02888136, 108755.38438717,\n",
       "       109506.49578338, 247127.88946485, 243289.27509818, 243265.86885034,\n",
       "       248207.60599975, 192902.91786198, 217129.5439489 , 185759.16420818,\n",
       "       245559.74386013, 238580.93896807, 238898.89333685, 245965.85044153,\n",
       "       249932.77418749, 265834.87970685, 222167.17113576, 241973.5174749 ,\n",
       "       240487.10775448, 245723.4446452 , 248213.38962842, 243090.959489  ,\n",
       "       247389.3060071 , 246051.48280122, 122645.68319167, 122645.68319167,\n",
       "       122645.68319167, 122645.68319167, 122645.68319167, 123439.0410698 ,\n",
       "       123500.10308096, 123546.06718667, 123443.84964274, 123335.03587581,\n",
       "       123370.18474353, 123293.30385585, 123167.84532445, 123102.69967441,\n",
       "       123351.93166296, 249473.99845588, 244259.77094185, 240582.03095147,\n",
       "       246872.17167277, 199642.70648117, 140577.13438787, 140520.7204878 ,\n",
       "       140542.67930157, 140586.53219753, 140585.09090618, 140564.42827588,\n",
       "       140543.90752331, 189296.40704   , 188988.14897068, 189308.11144479,\n",
       "       194847.19474481, 232408.79111608, 208365.35862619, 208365.35862619,\n",
       "       208365.35862619, 208365.35862619, 208365.35862619, 230764.45537802,\n",
       "       230764.45537802, 230764.45537802, 230764.45537802, 230764.45537802,\n",
       "       216988.85711425, 216988.85711425, 216988.85711425, 216988.85711425,\n",
       "...\n",
       "       269876.42510582, 219610.56207024, 252206.35365488, 252206.35365488,\n",
       "       252206.35365488, 252206.35365488, 252206.35365488, 195810.54306565,\n",
       "        85085.32709897, 236658.57274975, 245080.1445994 , 245080.1445994 ,\n",
       "       245080.1445994 , 245080.1445994 , 245080.1445994 , 245080.1445994 ,\n",
       "       245640.48650573, 241452.06984787, 111923.02659542, 111923.02659542,\n",
       "       111923.02659542, 111923.02659542, 111923.02659542, 243091.66634939,\n",
       "       209674.79383419, 252012.69443905, 159717.4803937 , 159717.4803937 ,\n",
       "       159717.4803937 , 159717.4803937 , 247387.91038093, 246048.88324422,\n",
       "       243142.24745689,  79379.17519824,  79379.17519824,  79379.17519824,\n",
       "        79379.17519824,  79379.17519824,  93380.03876387,  93380.03876387,\n",
       "        93380.03876387,  93380.03876387,  93380.03876387,  87183.25327146,\n",
       "        87183.25327146,  87183.25327146,  87183.25327146,  87183.25327146,\n",
       "        84389.13742475,  84389.13742475,  84389.13742475,  84389.13742475,\n",
       "        84389.13742475,  74833.3625936 ,  74833.3625936 ,  74833.3625936 ,\n",
       "        74833.3625936 ,  74833.3625936 ,  80141.98573762,  80141.98573762,\n",
       "        80141.98573762,  80141.98573762,  80141.98573762, 246514.4270588 ,\n",
       "       246514.4270588 , 246514.4270588 , 246514.4270588 , 246514.4270588 ,\n",
       "       246514.4270588 , 246514.4270588 , 246514.4270588 , 246514.4270588 ,\n",
       "       246514.4270588 , 246514.4270588 , 169524.66575774, 169524.66575774,\n",
       "       169524.66575774, 169524.66575774])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>y</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.385e+05 3.314e+05 ... 5.78e+05</div><input id='attrs-e958c580-b1ea-4aac-8913-c94f75d415f7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e958c580-b1ea-4aac-8913-c94f75d415f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d5f0953-6124-4dee-8e9f-a2a3cf29a437' class='xr-var-data-in' type='checkbox'><label for='data-0d5f0953-6124-4dee-8e9f-a2a3cf29a437' 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([338537.61489215, 331374.86511414, 312398.61617298, 320187.19552432,\n",
       "       516450.42424833, 518379.1614177 , 390563.56902303, 555171.28516282,\n",
       "       559244.98538125, 593010.95620148, 519546.81650817, 519543.89246174,\n",
       "       518023.91366949, 578752.84882088, 598756.85336944, 583316.7191993 ,\n",
       "       590399.65525489, 331374.86511414, 589692.53087233, 597203.15988172,\n",
       "       595019.91561924, 596379.2336712 , 597051.57845413, 602400.42683202,\n",
       "       595841.47722892, 540719.92620133, 583959.23466838, 592547.60468348,\n",
       "       603067.50237345, 592494.94364253, 593808.39771668, 596143.87373649,\n",
       "       598590.40132795, 597580.6998387 , 390690.33084437, 390690.33084437,\n",
       "       390690.33084437, 390690.33084437, 390690.33084437, 442368.60613528,\n",
       "       442461.6790175 , 442340.11589957, 442259.54094195, 442331.43610091,\n",
       "       442455.82459559, 442577.58560056, 442731.92270366, 442968.20992548,\n",
       "       442828.66147556, 520143.79006974, 516955.49840406, 521071.1257176 ,\n",
       "       520006.18606988, 539308.91072923, 457071.56198403, 456756.86011864,\n",
       "       456767.9222801 , 456767.79509537, 456743.32208621, 456706.66619697,\n",
       "       456718.96434576, 452541.61690861, 451986.53039606, 452535.02184812,\n",
       "       593593.35885844, 568808.21522889, 534896.17192736, 534896.17192736,\n",
       "       534896.17192736, 534896.17192736, 534896.17192736, 524584.38498233,\n",
       "       524584.38498233, 524584.38498233, 524584.38498233, 524584.38498233,\n",
       "       546000.77948915, 546000.77948915, 546000.77948915, 546000.77948915,\n",
       "...\n",
       "       554827.05217546, 565337.44593227, 570790.69527507, 570790.69527507,\n",
       "       570790.69527507, 570790.69527507, 570790.69527507, 583528.14575221,\n",
       "       434152.88511064, 561702.38730317, 581028.32799555, 581028.32799555,\n",
       "       581028.32799555, 581028.32799555, 581028.32799555, 581028.32799555,\n",
       "       592404.32019217, 537018.26434525, 524879.04221616, 524879.04221616,\n",
       "       524879.04221616, 524879.04221616, 524879.04221616, 596141.66035054,\n",
       "       537327.03429763, 442929.16011324, 579208.10030746, 579208.10030746,\n",
       "       579208.10030746, 579208.10030746, 598593.71407241, 597577.3107969 ,\n",
       "       566606.3458127 , 436710.90614937, 436710.90614937, 436710.90614937,\n",
       "       436710.90614937, 436710.90614937, 454399.64678961, 454399.64678961,\n",
       "       454399.64678961, 454399.64678961, 454399.64678961, 443785.80575542,\n",
       "       443785.80575542, 443785.80575542, 443785.80575542, 443785.80575542,\n",
       "       428622.41475227, 428622.41475227, 428622.41475227, 428622.41475227,\n",
       "       428622.41475227, 443944.51944339, 443944.51944339, 443944.51944339,\n",
       "       443944.51944339, 443944.51944339, 457831.05436233, 457831.05436233,\n",
       "       457831.05436233, 457831.05436233, 457831.05436233, 568120.77463803,\n",
       "       568120.77463803, 568120.77463803, 568120.77463803, 568120.77463803,\n",
       "       568120.77463803, 568120.77463803, 568120.77463803, 568120.77463803,\n",
       "       568120.77463803, 568120.77463803, 578003.53420037, 578003.53420037,\n",
       "       578003.53420037, 578003.53420037])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-42863d66-235f-44c8-98a1-b351d51aaae1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-42863d66-235f-44c8-98a1-b351d51aaae1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-269fcf67-e997-4db1-847b-6bcc16891490' class='xr-var-data-in' type='checkbox'><label for='data-269fcf67-e997-4db1-847b-6bcc16891490' 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>crs_wkt :</span></dt><dd>PROJCS[&quot;Amersfoort / RD New&quot;,GEOGCS[&quot;Amersfoort&quot;,DATUM[&quot;Amersfoort&quot;,SPHEROID[&quot;Bessel 1841&quot;,6377397.155,299.1528128,AUTHORITY[&quot;EPSG&quot;,&quot;7004&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6289&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4289&quot;]],PROJECTION[&quot;Oblique_Stereographic&quot;],PARAMETER[&quot;latitude_of_origin&quot;,52.1561605555556],PARAMETER[&quot;central_meridian&quot;,5.38763888888889],PARAMETER[&quot;scale_factor&quot;,0.9999079],PARAMETER[&quot;false_easting&quot;,155000],PARAMETER[&quot;false_northing&quot;,463000],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;28992&quot;]]</dd><dt><span>spatial_ref :</span></dt><dd>PROJCS[&quot;Amersfoort / RD New&quot;,GEOGCS[&quot;Amersfoort&quot;,DATUM[&quot;Amersfoort&quot;,SPHEROID[&quot;Bessel 1841&quot;,6377397.155,299.1528128,AUTHORITY[&quot;EPSG&quot;,&quot;7004&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6289&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4289&quot;]],PROJECTION[&quot;Oblique_Stereographic&quot;],PARAMETER[&quot;latitude_of_origin&quot;,52.1561605555556],PARAMETER[&quot;central_meridian&quot;,5.38763888888889],PARAMETER[&quot;scale_factor&quot;,0.9999079],PARAMETER[&quot;false_easting&quot;,155000],PARAMETER[&quot;false_northing&quot;,463000],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;28992&quot;]]</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-16bd465f-6e11-47a6-b5d0-3fea757a3fd0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-16bd465f-6e11-47a6-b5d0-3fea757a3fd0' class='xr-section-summary' >Data variables: <span>(9)</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>#Network</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;NL&#x27; &#x27;NL&#x27; &#x27;NL&#x27; ... &#x27;NL&#x27; &#x27;NL&#x27; &#x27;NL&#x27;</div><input id='attrs-8270f712-97b6-473f-afbc-4418ad4d4a85' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8270f712-97b6-473f-afbc-4418ad4d4a85' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-058d60fe-a350-4cca-9cf4-3441c1bfdbeb' class='xr-var-data-in' type='checkbox'><label for='data-058d60fe-a350-4cca-9cf4-3441c1bfdbeb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "...\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;,\n",
       "       &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;, &#x27;NL&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Latitude</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>51.04 50.97 50.8 ... 53.19 53.19</div><input id='attrs-7b148f5c-1e21-4919-ab12-676504405b5a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7b148f5c-1e21-4919-ab12-676504405b5a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-130f9949-696d-43fb-ae0b-e5e7bbd5e000' class='xr-var-data-in' type='checkbox'><label for='data-130f9949-696d-43fb-ae0b-e5e7bbd5e000' 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([51.03544 , 50.9708  , 50.8     , 50.86939 , 52.633821, 52.65104 ,\n",
       "       51.5013  , 52.977799, 53.01428 , 53.31482 , 52.661427, 52.661396,\n",
       "       52.6478  , 53.18751 , 53.36786 , 53.22916 , 53.29195 , 50.9708  ,\n",
       "       53.290115, 53.360325, 53.33391 , 53.34726 , 53.35325 , 53.40014 ,\n",
       "       53.34053 , 52.842316, 53.237996, 53.312297, 53.40704 , 53.3112  ,\n",
       "       53.32257 , 53.34442 , 53.36567 , 53.35683 , 51.5043  , 51.5043  ,\n",
       "       51.5043  , 51.5043  , 51.5043  , 51.96884 , 51.96968 , 51.96859 ,\n",
       "       51.96786 , 51.9685  , 51.96962 , 51.97071 , 51.97209 , 51.97421 ,\n",
       "       51.97297 , 52.66055 , 52.632783, 52.670353, 52.659759, 52.839142,\n",
       "       52.1017  , 52.09887 , 52.09897 , 52.09897 , 52.09875 , 52.09842 ,\n",
       "       52.09853 , 52.06011 , 52.05514 , 52.06005 , 53.32729 , 53.100493,\n",
       "       52.7987  , 52.7987  , 52.7987  , 52.7987  , 52.7987  , 52.703377,\n",
       "       52.703377, 52.703377, 52.703377, 52.703377, 52.897564, 52.897564,\n",
       "       52.897564, 52.897564, 52.897564, 53.120205, 53.334777, 52.956616,\n",
       "       53.4064  , 53.4064  , 53.4064  , 53.4064  , 53.4064  , 52.8944  ,\n",
       "       52.8944  , 52.8944  , 52.8944  , 52.8944  , 53.079679, 52.908069,\n",
       "       52.906795, 52.90829 , 52.906704, 52.908257, 52.907097, 53.2562  ,\n",
       "       53.2562  , 53.2562  , 53.2562  , 52.848339, 53.142396, 53.142396,\n",
       "       53.142396, 53.142396, 53.142396, 52.855913, 52.855913, 52.855913,\n",
       "       52.855913, 52.855913, 52.981469, 52.981469, 52.981469, 52.981469,\n",
       "...\n",
       "       52.380554, 52.343227, 52.343227, 52.343227, 52.343227, 52.343227,\n",
       "       52.38933 , 52.38933 , 52.38933 , 52.38933 , 52.38933 , 50.756763,\n",
       "       53.31035 , 53.358604, 53.30612 , 53.306172, 53.306704, 53.311628,\n",
       "       53.232544, 53.096883, 52.544   , 52.544   , 52.544   , 52.544   ,\n",
       "       52.544   , 53.084377, 53.084377, 53.084377, 53.084377, 53.084377,\n",
       "       51.4283  , 53.095674, 50.8669  , 52.866799, 52.9682  , 52.9682  ,\n",
       "       52.9682  , 52.9682  , 52.9682  , 53.071   , 53.115086, 53.115086,\n",
       "       53.115086, 53.115086, 53.115086, 53.236782, 51.891502, 53.036023,\n",
       "       53.2083  , 53.2083  , 53.2083  , 53.2083  , 53.2083  , 53.2083  ,\n",
       "       53.3104  , 52.8135  , 52.7096  , 52.7096  , 52.7096  , 52.7096  ,\n",
       "       52.7096  , 53.3444  , 52.820413, 51.9663  , 53.1995  , 53.1995  ,\n",
       "       53.1995  , 53.1995  , 53.3657  , 53.3568  , 53.079058, 51.913745,\n",
       "       51.913745, 51.913745, 51.913745, 51.913745, 52.074445, 52.074445,\n",
       "       52.074445, 52.074445, 52.074445, 51.978334, 51.978334, 51.978334,\n",
       "       51.978334, 51.978334, 51.841711, 51.841711, 51.841711, 51.841711,\n",
       "       51.841711, 51.978115, 51.978115, 51.978115, 51.978115, 51.978115,\n",
       "       52.103651, 52.103651, 52.103651, 52.103651, 52.103651, 53.0921  ,\n",
       "       53.0921  , 53.0921  , 53.0921  , 53.0921  , 53.0921  , 53.0921  ,\n",
       "       53.0921  , 53.0921  , 53.0921  , 53.0921  , 53.1885  , 53.1885  ,\n",
       "       53.1885  , 53.1885  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Longitude</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.869 5.927 5.973 ... 5.604 5.604</div><input id='attrs-7101a8c9-f70f-4bc2-8628-b5c22538f404' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7101a8c9-f70f-4bc2-8628-b5c22538f404' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad711c0a-7aba-42c7-8a27-fc6c258a3cbf' class='xr-var-data-in' type='checkbox'><label for='data-ad711c0a-7aba-42c7-8a27-fc6c258a3cbf' 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([5.86908 , 5.9268  , 5.9727  , 6.08469 , 4.744356, 4.723407,\n",
       "       6.1942  , 6.557414, 6.570557, 6.83539 , 4.7045  , 4.703678,\n",
       "       4.714988, 6.76549 , 6.71359 , 6.70898 , 6.78502 , 5.9268  ,\n",
       "       6.318887, 5.84921 , 6.74663 , 6.64225 , 6.6472  , 6.75483 ,\n",
       "       6.8125  , 7.032279, 6.393218, 6.692137, 6.67266 , 6.74837 ,\n",
       "       6.7861  , 6.70989 , 6.77512 , 6.75474 , 4.9212  , 4.9212  ,\n",
       "       4.9212  , 4.9212  , 4.9212  , 4.92793 , 4.92881 , 4.92949 ,\n",
       "       4.92801 , 4.92642 , 4.92692 , 4.92579 , 4.92395 , 4.92298 ,\n",
       "       4.92662 , 6.783616, 6.705706, 6.652457, 6.745131, 6.049736,\n",
       "       5.1767  , 5.17589 , 5.17621 , 5.17685 , 5.17683 , 5.17653 ,\n",
       "       5.17623 , 5.8873  , 5.88275 , 5.88747 , 5.985255, 6.542946,\n",
       "       6.178458, 6.178458, 6.178458, 6.178458, 6.178458, 6.508147,\n",
       "       6.508147, 6.508147, 6.508147, 6.508147, 6.308405, 6.308405,\n",
       "       6.308405, 6.308405, 6.308405, 6.103262, 6.105404, 6.577619,\n",
       "       6.4817  , 6.4817  , 6.4817  , 6.4817  , 6.4817  , 6.6337  ,\n",
       "       6.6337  , 6.6337  , 6.6337  , 6.6337  , 6.811594, 6.865355,\n",
       "       6.865549, 6.86401 , 6.865989, 6.867829, 6.865533, 5.5481  ,\n",
       "       5.5481  , 5.5481  , 5.5481  , 6.17885 , 5.886762, 5.886762,\n",
       "       5.886762, 5.886762, 5.886762, 5.930424, 5.930424, 5.930424,\n",
       "       5.930424, 5.930424, 5.712568, 5.712568, 5.712568, 5.712568,\n",
       "...\n",
       "       6.905661, 6.909716, 6.909716, 6.909716, 6.909716, 6.909716,\n",
       "       6.996486, 6.996486, 6.996486, 6.996486, 6.996486, 5.906114,\n",
       "       6.677621, 6.770835, 6.85455 , 6.854867, 6.847364, 6.884254,\n",
       "       6.092683, 6.184182, 6.6693  , 6.6693  , 6.6693  , 6.6693  ,\n",
       "       6.6693  , 6.833631, 6.833631, 6.833631, 6.833631, 6.833631,\n",
       "       6.0937  , 5.955347, 5.7847  , 6.215673, 7.0972  , 7.0972  ,\n",
       "       7.0972  , 7.0972  , 7.0972  , 6.3512  , 6.839044, 6.839044,\n",
       "       6.839044, 6.839044, 6.839044, 5.99843 , 4.371541, 6.604592,\n",
       "       6.7355  , 6.7355  , 6.7355  , 6.7355  , 6.7355  , 6.7355  ,\n",
       "       6.7471  , 6.6695  , 4.7498  , 4.7498  , 4.7498  , 4.7498  ,\n",
       "       4.7498  , 6.7099  , 6.198276, 6.7989  , 5.4578  , 5.4578  ,\n",
       "       5.4578  , 5.4578  , 6.7751  , 6.7547  , 6.702562, 4.288099,\n",
       "       4.288099, 4.288099, 4.288099, 4.288099, 4.488386, 4.488386,\n",
       "       4.488386, 4.488386, 4.488386, 4.400113, 4.400113, 4.400113,\n",
       "       4.400113, 4.400113, 4.362561, 4.362561, 4.362561, 4.362561,\n",
       "       4.362561, 4.220353, 4.220353, 4.220353, 4.220353, 4.220353,\n",
       "       4.294567, 4.294567, 4.294567, 4.294567, 4.294567, 6.7533  ,\n",
       "       6.7533  , 6.7533  , 6.7533  , 6.7533  , 6.7533  , 6.7533  ,\n",
       "       6.7533  , 6.7533  , 6.7533  , 6.7533  , 5.6045  , 5.6045  ,\n",
       "       5.6045  , 5.6045  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Elevation</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>35.0 80.0 154.0 ... 0.0 0.0 0.0</div><input id='attrs-68a13159-d376-4300-9c2d-ea142ccf210f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-68a13159-d376-4300-9c2d-ea142ccf210f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9867c1f1-8355-4f1b-b3d6-0fb1c20b514e' class='xr-var-data-in' type='checkbox'><label for='data-9867c1f1-8355-4f1b-b3d6-0fb1c20b514e' 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([ 3.500e+01,  8.000e+01,  1.540e+02,  1.450e+02,  1.000e+00,\n",
       "       -1.000e+00,  0.000e+00,  9.500e+00,  1.200e+01,  0.000e+00,\n",
       "        2.000e+00,  1.000e+00, -1.000e+00,  1.000e+00,  1.000e+00,\n",
       "        1.000e+00,  1.000e+00,  8.000e+01,  2.000e+00,  1.200e+00,\n",
       "        1.000e+00,  2.000e+00,  0.000e+00,  1.000e+00,  1.000e+00,\n",
       "        1.250e+01, -1.000e-01,  1.000e+00,  2.000e+00,  1.000e+00,\n",
       "        0.000e+00,  1.000e+00,  1.000e+00,  1.000e+00,  2.000e+01,\n",
       "        2.000e+01,  2.000e+01,  2.000e+01,  2.000e+01, -1.000e+00,\n",
       "       -1.000e+00, -1.000e+00, -2.000e+00, -2.000e+00, -1.000e+00,\n",
       "        0.000e+00, -1.000e+00, -1.000e+00, -2.000e+00,  9.700e+00,\n",
       "        8.900e+00,  9.900e+00,  1.070e+01,  2.400e+00,  3.000e+00,\n",
       "        4.000e+00,  3.000e+00,  1.000e+00,  2.000e+00,  2.000e+00,\n",
       "        3.000e+00,  5.200e+01,  4.900e+01,  4.900e+01,  6.000e-01,\n",
       "        6.700e+00,  1.700e+00,  1.700e+00,  1.700e+00,  1.700e+00,\n",
       "        1.700e+00,  1.120e+01,  1.120e+01,  1.120e+01,  1.120e+01,\n",
       "        1.120e+01,  8.600e+00,  8.600e+00,  8.600e+00,  8.600e+00,\n",
       "        8.600e+00,  1.400e+00,  1.000e-01,  1.230e+01,  1.000e+00,\n",
       "        1.000e+00,  1.000e+00,  1.000e+00,  1.000e+00,  1.700e+01,\n",
       "        1.700e+01,  1.700e+01,  1.700e+01,  1.700e+01,  2.100e+00,\n",
       "        6.000e+00,  7.000e+00,  6.000e+00,  4.000e+00,  6.000e+00,\n",
       "...\n",
       "        2.000e+00,  2.000e+00,  1.900e+00,  3.700e+00,  1.100e+01,\n",
       "        1.100e+01,  1.100e+01,  1.100e+01,  1.100e+01,  1.700e+00,\n",
       "        1.700e+00,  1.700e+00,  1.700e+00,  1.700e+00,  2.500e+01,\n",
       "       -4.000e-01,  9.000e+01,  7.600e+00,  7.000e+00,  7.000e+00,\n",
       "        7.000e+00,  7.000e+00,  7.000e+00,  7.000e+00,  1.500e+00,\n",
       "        1.500e+00,  1.500e+00,  1.500e+00,  1.500e+00,  1.400e+00,\n",
       "        4.000e+00,  7.600e+00, -2.000e+00, -2.000e+00, -2.000e+00,\n",
       "       -2.000e+00, -2.000e+00,  7.000e+00,  0.000e+00,  1.700e+01,\n",
       "       -1.000e+00, -1.000e+00, -1.000e+00, -1.000e+00, -1.000e+00,\n",
       "        0.000e+00,  2.600e+00,  4.300e+01,  0.000e+00,  0.000e+00,\n",
       "        0.000e+00,  0.000e+00,  0.000e+00,  0.000e+00,  3.600e+00,\n",
       "       -2.000e+00, -2.000e+00, -2.000e+00, -2.000e+00, -2.000e+00,\n",
       "       -3.500e+00, -3.500e+00, -3.500e+00, -3.500e+00, -3.500e+00,\n",
       "       -3.000e+00, -3.000e+00, -3.000e+00, -3.000e+00, -3.000e+00,\n",
       "        5.800e+00,  5.800e+00,  5.800e+00,  5.800e+00,  5.800e+00,\n",
       "        6.000e-01,  6.000e-01,  6.000e-01,  6.000e-01,  6.000e-01,\n",
       "        1.400e+00,  1.400e+00,  1.400e+00,  1.400e+00,  1.400e+00,\n",
       "        2.000e+00,  2.000e+00,  2.000e+00,  2.000e+00,  2.000e+00,\n",
       "        2.000e+00,  2.000e+00,  2.000e+00,  2.000e+00,  2.000e+00,\n",
       "        2.000e+00,  0.000e+00,  0.000e+00,  0.000e+00,  0.000e+00])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SiteName</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;Nieuwstadt&#x27; ... &#x27;Zweins niveau 4&#x27;</div><input id='attrs-cc222221-fed3-4db0-8556-6324499edec8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cc222221-fed3-4db0-8556-6324499edec8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-286fce95-d202-41c3-81fb-c929ebd47410' class='xr-var-data-in' type='checkbox'><label for='data-286fce95-d202-41c3-81fb-c929ebd47410' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;Nieuwstadt&#x27;, &#x27;Bingelrade&#x27;, &#x27;Mamelis&#x27;, &#x27;Rolduc&#x27;,\n",
       "       &#x27;Alkmaar - Theater&#x27;, &#x27;Alkmaar - Bergerweg&#x27;, &#x27;Arcen&#x27;,\n",
       "       &#x27;Assen - Beilerstraat&#x27;, &#x27;Assen - Borgstee&#x27;, &#x27;Appingedam&#x27;, &#x27;Bergen&#x27;,\n",
       "       &#x27;Bergen - Nesdijk&#x27;, &#x27;Bergen - Groeneweg&#x27;, &#x27;Froombosch2&#x27;,\n",
       "       &#x27;Garsthuizen&#x27;, &#x27;Harkstede&#x27;, &#x27;Hoeksmeer&#x27;, &#x27;Bingelrade&#x27;,\n",
       "       &#x27;Kommerzijl&#x27;, &#x27;Blije&#x27;, &#x27;Loppersum&#x27;, &#x27;Middelstum 1&#x27;, &#x27;Middelstum 2&#x27;,\n",
       "       &#x27;Oosternienland&#x27;, &#x27;Oosterwijterd&#x27;, &#x27;Roswinkel&#x27;, &#x27;Briltil&#x27;,\n",
       "       &#x27;Stedum&#x27;, &#x27;Uithuizen&#x27;, &#x27;Winneweer&#x27;, &#x27;Wirdum&#x27;, &#x27;Westeremden&#x27;,\n",
       "       &#x27;t Zandt 1&#x27;, &#x27;t Zandt 2&#x27;, &#x27;Chaam niveau 1&#x27;, &#x27;Chaam niveau 2&#x27;,\n",
       "       &#x27;Chaam niveau 3&#x27;, &#x27;Chaam niveau 4&#x27;, &#x27;Chaam niveau 5&#x27;,\n",
       "       &#x27;Cabauw Infrasound Array&#x27;, &#x27;Cabauw Infrasound Array&#x27;,\n",
       "       &#x27;Cabauw Infrasound Array&#x27;, &#x27;Cabauw Infrasound Array&#x27;,\n",
       "       &#x27;Cabauw Infrasound Array&#x27;, &#x27;Cabauw Infrasound Array&#x27;,\n",
       "       &#x27;Cabauw Infrasound Array&#x27;, &#x27;Cabauw Infrasound Array&#x27;,\n",
       "       &#x27;Cabauw Infrasound Array&#x27;, &#x27;Cabauw Infrasound Array&#x27;, &#x27;Coevorden&#x27;,\n",
       "       &#x27;Coevorden - Hulteweg&#x27;, &#x27;Coevorden - Nieuwe Krim&#x27;,\n",
       "       &#x27;Coevorden - Pampert&#x27;, &#x27;De Blesse&#x27;, &#x27;De Bilt&#x27;,\n",
       "       &#x27;De Bilt Infrasound Array&#x27;, &#x27;De Bilt Infrasound Array&#x27;,\n",
       "       &#x27;De Bilt Infrasound Array&#x27;, &#x27;De Bilt Infrasound Array&#x27;,\n",
       "       &#x27;De Bilt Infrasound Array&#x27;, &#x27;De Bilt Infrasound Array&#x27;,\n",
       "...\n",
       "       &#x27;Delfgauw (niveau 0)&#x27;, &#x27;Delfgauw (niveau 1)&#x27;,\n",
       "       &#x27;Delfgauw (niveau 2)&#x27;, &#x27;Delfgauw (niveau 3)&#x27;,\n",
       "       &#x27;Delfgauw (niveau 4)&#x27;, &#x27;Spijkenisse (niveau 0)&#x27;,\n",
       "       &#x27;Spijkenisse (niveau 1)&#x27;, &#x27;Spijkenisse (niveau 2)&#x27;,\n",
       "       &#x27;Spijkenisse (niveau 3)&#x27;, &#x27;Spijkenisse (niveau 4)&#x27;,\n",
       "       &#x27;Naaldwijk (niveau 0)&#x27;, &#x27;Naaldwijk (niveau 1)&#x27;,\n",
       "       &#x27;Naaldwijk (niveau 2)&#x27;, &#x27;Naaldwijk (niveau 3)&#x27;,\n",
       "       &#x27;Naaldwijk (niveau 4)&#x27;, &#x27;Den Haag - Westbroekpark (niveau 0)&#x27;,\n",
       "       &#x27;Den Haag - Westbroekpark (niveau 1)&#x27;,\n",
       "       &#x27;Den Haag - Westbroekpark (niveau 2)&#x27;,\n",
       "       &#x27;Den Haag - Westbroekpark (niveau 3)&#x27;,\n",
       "       &#x27;Den Haag - Westbroekpark (niveau 4)&#x27;,\n",
       "       &#x27;Zuidlaarderveen 2 niveau 1&#x27;, &#x27;Zuidlaarderveen 2 niveau 2&#x27;,\n",
       "       &#x27;Zuidlaarderveen 2 niveau 3&#x27;, &#x27;Zuidlaarderveen 2 niveau 4&#x27;,\n",
       "       &#x27;Zuidlarderveen 2 time signal&#x27;, &#x27;Zuidlaarderveen 1 niveau 0&#x27;,\n",
       "       &#x27;Zuidlaarderveen 1 niveau 1&#x27;, &#x27;Zuidlaarderveen 1 niveau 2&#x27;,\n",
       "       &#x27;Zuidlaarderveen 1 niveau 3&#x27;, &#x27;Zuidlaarderveen 1 niveau 4&#x27;,\n",
       "       &#x27;Zuidlaarderveen 1 time signal&#x27;, &#x27;Zweins niveau 1&#x27;,\n",
       "       &#x27;Zweins niveau 2&#x27;, &#x27;Zweins niveau 3&#x27;, &#x27;Zweins niveau 4&#x27;],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>StartTime</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;2006-01-27T00:00:00&#x27; ... &#x27;2010-...</div><input id='attrs-f8291eb9-ad41-4aa3-8fd5-101644fd5b0f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f8291eb9-ad41-4aa3-8fd5-101644fd5b0f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-edce39c6-dff9-4734-9242-b68261622e9a' class='xr-var-data-in' type='checkbox'><label for='data-edce39c6-dff9-4734-9242-b68261622e9a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2006-01-27T00:00:00&#x27;, &#x27;2009-03-10T00:00:00&#x27;,\n",
       "       &#x27;2009-03-10T00:00:00&#x27;, &#x27;2007-12-10T00:00:00&#x27;,\n",
       "       &#x27;2019-11-19T00:00:00&#x27;, &#x27;2019-07-24T00:00:00&#x27;,\n",
       "       &#x27;2018-05-23T00:00:00&#x27;, &#x27;2020-04-14T00:00:00&#x27;,\n",
       "       &#x27;2020-04-24T00:00:00&#x27;, &#x27;2013-10-07T00:00:00&#x27;,\n",
       "       &#x27;2017-12-04T00:00:00&#x27;, &#x27;2019-11-18T00:00:00&#x27;,\n",
       "       &#x27;2019-07-25T00:00:00&#x27;, &#x27;2014-09-17T00:00:00&#x27;,\n",
       "       &#x27;2014-09-17T00:00:00&#x27;, &#x27;2014-09-17T00:00:00&#x27;,\n",
       "       &#x27;2014-09-17T00:00:00&#x27;, &#x27;2014-11-27T00:00:00&#x27;,\n",
       "       &#x27;2015-12-08T00:00:00&#x27;, &#x27;2021-02-18T00:00:00&#x27;,\n",
       "       &#x27;2013-09-23T00:00:00&#x27;, &#x27;2013-09-11T00:00:00&#x27;,\n",
       "       &#x27;2013-09-10T00:00:00&#x27;, &#x27;2013-09-19T00:00:00&#x27;,\n",
       "       &#x27;2013-10-01T00:00:00&#x27;, &#x27;2019-02-28T00:00:00&#x27;,\n",
       "       &#x27;2022-05-20T00:00:00&#x27;, &#x27;2014-09-17T00:00:00&#x27;,\n",
       "       &#x27;2013-10-07T00:00:00&#x27;, &#x27;2014-09-17T00:00:00&#x27;,\n",
       "       &#x27;2013-09-24T00:00:00&#x27;, &#x27;2013-04-24T00:00:00&#x27;,\n",
       "       &#x27;2013-10-24T00:00:00&#x27;, &#x27;2013-09-23T00:00:00&#x27;,\n",
       "       &#x27;2011-07-03T00:00:00&#x27;, &#x27;2011-07-03T00:00:00&#x27;,\n",
       "       &#x27;2011-07-03T00:00:00&#x27;, &#x27;2011-07-03T00:00:00&#x27;,\n",
       "       &#x27;2011-07-03T00:00:00&#x27;, &#x27;2012-07-04T10:30:00&#x27;,\n",
       "...\n",
       "       &#x27;2020-05-28T00:00:00&#x27;, &#x27;2020-05-28T00:00:00&#x27;,\n",
       "       &#x27;2020-05-28T00:00:00&#x27;, &#x27;2020-05-28T00:00:00&#x27;,\n",
       "       &#x27;2020-05-28T00:00:00&#x27;, &#x27;2020-04-06T00:00:00&#x27;,\n",
       "       &#x27;2020-04-06T00:00:00&#x27;, &#x27;2020-04-06T00:00:00&#x27;,\n",
       "       &#x27;2020-04-06T00:00:00&#x27;, &#x27;2020-04-06T00:00:00&#x27;,\n",
       "       &#x27;2021-01-05T00:00:00&#x27;, &#x27;2021-01-05T00:00:00&#x27;,\n",
       "       &#x27;2021-01-05T00:00:00&#x27;, &#x27;2021-01-05T00:00:00&#x27;,\n",
       "       &#x27;2021-01-05T00:00:00&#x27;, &#x27;2020-04-06T00:00:00&#x27;,\n",
       "       &#x27;2020-04-06T00:00:00&#x27;, &#x27;2020-04-06T00:00:00&#x27;,\n",
       "       &#x27;2020-04-06T00:00:00&#x27;, &#x27;2020-04-06T00:00:00&#x27;,\n",
       "       &#x27;2022-04-22T00:00:00&#x27;, &#x27;2022-04-22T00:00:00&#x27;,\n",
       "       &#x27;2022-04-22T00:00:00&#x27;, &#x27;2022-04-22T00:00:00&#x27;,\n",
       "       &#x27;2022-04-22T00:00:00&#x27;, &#x27;1995-04-12T00:00:00&#x27;,\n",
       "       &#x27;1995-04-12T00:00:00&#x27;, &#x27;1995-04-12T00:00:00&#x27;,\n",
       "       &#x27;1995-04-12T00:00:00&#x27;, &#x27;1995-04-12T00:00:00&#x27;,\n",
       "       &#x27;1995-04-12T00:00:00&#x27;, &#x27;1995-04-12T00:00:00&#x27;,\n",
       "       &#x27;1995-04-12T00:00:00&#x27;, &#x27;1995-04-12T00:00:00&#x27;,\n",
       "       &#x27;1995-04-12T00:00:00&#x27;, &#x27;1995-04-12T00:00:00&#x27;,\n",
       "       &#x27;2010-03-24T00:00:00&#x27;, &#x27;2010-03-24T00:00:00&#x27;,\n",
       "       &#x27;2010-03-24T00:00:00&#x27;, &#x27;2010-03-24T00:00:00&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>EndTime</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;2011-11-25T00:00:00&#x27; ... nan</div><input id='attrs-9671d2ab-d41d-4490-b0dd-68e3c43e3665' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9671d2ab-d41d-4490-b0dd-68e3c43e3665' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-606c6c59-5a06-4bf4-b1b7-eff26badd356' class='xr-var-data-in' type='checkbox'><label for='data-606c6c59-5a06-4bf4-b1b7-eff26badd356' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2011-11-25T00:00:00&#x27;, &#x27;2014-11-28T00:00:00&#x27;,\n",
       "       &#x27;2015-04-17T00:00:00&#x27;, &#x27;2015-04-17T00:00:00&#x27;, nan, nan, nan, nan,\n",
       "       nan, nan, &#x27;2019-05-21T00:00:00&#x27;, nan, nan, nan, nan,\n",
       "       &#x27;2022-01-22T00:00:00&#x27;, nan, nan, nan, nan, nan,\n",
       "       &#x27;2014-03-11T05:16:01&#x27;, nan, &#x27;2015-08-23T00:00:00&#x27;, nan, nan, nan,\n",
       "       nan, &#x27;2019-12-06T00:00:00&#x27;, &#x27;2019-12-07T00:00:00&#x27;, nan, nan,\n",
       "       &#x27;2019-03-02T00:00:00&#x27;, &#x27;2020-06-01T00:00:00&#x27;, nan,\n",
       "       &#x27;2018-05-25T00:00:00&#x27;, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, &#x27;2010-01-22T00:00:00&#x27;, nan, nan, nan, nan,\n",
       "       &#x27;2009-12-04T00:00:00&#x27;, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, &#x27;2014-09-17T00:00:00&#x27;, nan, nan, nan,\n",
       "       &#x27;2016-06-14T08:00:00&#x27;, nan, &#x27;2010-04-29T00:00:00&#x27;, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "...\n",
       "       nan, nan, &#x27;2014-09-17T00:00:00&#x27;, nan, nan, nan, nan, nan,\n",
       "       &#x27;2019-05-08T13:22:50&#x27;, &#x27;2019-05-08T13:22:50&#x27;,\n",
       "       &#x27;2019-05-08T13:22:50&#x27;, &#x27;2019-05-08T13:22:50&#x27;, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, &#x27;2010-09-01T00:00:00&#x27;, nan, nan, nan, nan, nan,\n",
       "       &#x27;2017-07-06T00:00:00&#x27;, nan, nan, nan, &#x27;2010-10-29T00:00:00&#x27;, nan,\n",
       "       nan, nan, nan, &#x27;2010-10-29T00:00:00&#x27;, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, &#x27;2010-04-29T00:00:00&#x27;, nan, nan, nan, nan,\n",
       "       &#x27;2010-04-29T00:00:00&#x27;, &#x27;2014-09-17T00:00:00&#x27;,\n",
       "       &#x27;2013-12-01T00:00:00&#x27;, nan, nan, nan, nan, &#x27;2010-10-11T00:00:00&#x27;,\n",
       "       &#x27;2013-04-24T00:00:00&#x27;, nan, nan, nan, nan, nan, nan,\n",
       "       &#x27;2013-10-24T00:00:00&#x27;, &#x27;2013-09-23T00:00:00&#x27;, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, &#x27;2018-03-23T00:00:00&#x27;, &#x27;2018-03-23T00:00:00&#x27;,\n",
       "       &#x27;2018-03-23T00:00:00&#x27;, &#x27;2018-03-23T00:00:00&#x27;,\n",
       "       &#x27;2010-05-18T00:00:00&#x27;, &#x27;2016-06-15T11:00:00&#x27;, nan, nan, nan, nan,\n",
       "       &#x27;2010-05-18T00:00:00&#x27;, nan, nan, nan, nan], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x_UTM</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.012e+05 7.056e+05 ... 6.741e+05</div><input id='attrs-e06a44dd-2206-4870-b047-a34297b7bb19' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e06a44dd-2206-4870-b047-a34297b7bb19' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-173dede5-bb4d-40c5-ab64-d50f601716b1' class='xr-var-data-in' type='checkbox'><label for='data-173dede5-bb4d-40c5-ab64-d50f601716b1' 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([701245.23002967, 705576.83389798, 709563.85970695, 717131.42023809,\n",
       "       618139.65390301, 616676.25128398, 721780.18867268, 738912.50749966,\n",
       "       739592.40613592, 755556.61159685, 615369.99955805, 615314.49192404,\n",
       "       616115.34517831, 751649.13030085, 747140.09215707, 747635.02279998,\n",
       "       752337.88499561, 705576.83389798, 721293.31168088, 689685.89217254,\n",
       "       749535.51191361, 742513.00220502, 742808.27813124, 749693.42723373,\n",
       "       753879.83626328, 771625.07378099, 726521.16988666, 746033.27933934,\n",
       "       744193.83544442, 749783.98015496, 752229.18366469, 747029.63238235,\n",
       "       751244.61006886, 749941.07571377, 633431.04193949, 633431.04193949,\n",
       "       633431.04193949, 633431.04193949, 633431.04193949, 632531.49453937,\n",
       "       632589.46314027, 632639.3876237 , 632539.87944741, 632428.77540023,\n",
       "       632459.81957754, 632378.99147421, 632248.5474777 , 632175.68819894,\n",
       "       632429.34159051, 755950.70391562, 750843.09431512, 747029.26121379,\n",
       "       753353.79608541, 705495.2272935 , 649176.28370421, 649130.24784627,\n",
       "       649151.83041471, 649195.66235963, 649195.02642048, 649175.58065327,\n",
       "       649154.66737421, 698021.34131736, 697731.44005983, 698033.25812785,\n",
       "       698890.10833149, 737266.66151364, 714361.43719225, 714361.43719225,\n",
       "       714361.43719225, 714361.43719225, 714361.43719225, 737096.91632202,\n",
       "       737096.91632202, 737096.91632202, 737096.91632202, 737096.91632202,\n",
       "       722612.53411146, 722612.53411146, 722612.53411146, 722612.53411146,\n",
       "...\n",
       "       775195.29419204, 724588.35205466, 756993.30370826, 756993.30370826,\n",
       "       756993.30370826, 756993.30370826, 756993.30370826, 700189.85357595,\n",
       "       594474.27848914, 741752.86891205, 749525.58174423, 749525.58174423,\n",
       "       749525.58174423, 749525.58174423, 749525.58174423, 749525.58174423,\n",
       "       749704.08657682, 747368.74087289, 618303.30027159, 618303.30027159,\n",
       "       618303.30027159, 618303.30027159, 618303.30027159, 747030.41340647,\n",
       "       715589.58707311, 761039.39279912, 664260.71883632, 664260.71883632,\n",
       "       664260.71883632, 664260.71883632, 751243.10344452, 749938.59074369,\n",
       "       748071.07629914, 588688.65576818, 588688.65576818, 588688.65576818,\n",
       "       588688.65576818, 588688.65576818, 602098.10043544, 602098.10043544,\n",
       "       602098.10043544, 602098.10043544, 602098.10043544, 596254.54568201,\n",
       "       596254.54568201, 596254.54568201, 596254.54568201, 596254.54568201,\n",
       "       593959.94719855, 593959.94719855, 593959.94719855, 593959.94719855,\n",
       "       593959.94719855, 583909.06947538, 583909.06947538, 583909.06947538,\n",
       "       583909.06947538, 583909.06947538, 588757.35547335, 588757.35547335,\n",
       "       588757.35547335, 588757.35547335, 588757.35547335, 751391.86439573,\n",
       "       751391.86439573, 751391.86439573, 751391.86439573, 751391.86439573,\n",
       "       751391.86439573, 751391.86439573, 751391.86439573, 751391.86439573,\n",
       "       751391.86439573, 751391.86439573, 674102.29235009, 674102.29235009,\n",
       "       674102.29235009, 674102.29235009])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>y_UTM</span></div><div class='xr-var-dims'>(Station)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.658e+06 5.651e+06 ... 5.897e+06</div><input id='attrs-e1c88a35-d017-4e62-b169-7588f8f5bfa9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e1c88a35-d017-4e62-b169-7588f8f5bfa9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e0237bc3-ab2b-470e-ba3d-046e7f59ac6c' class='xr-var-data-in' type='checkbox'><label for='data-e0237bc3-ab2b-470e-ba3d-046e7f59ac6c' 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([5657892.99909422, 5650865.93143516, 5632006.73319083,\n",
       "       5640044.25240535, 5833176.17997974, 5835057.21448274,\n",
       "       5710622.19562237, 5875934.23132444, 5880034.15449094,\n",
       "       5914364.80876412, 5836182.06558157, 5836177.30275519,\n",
       "       5834683.26451311, 5899962.70588253, 5919832.84666564,\n",
       "       5904396.02283836, 5911643.04080874, 5650865.93143516,\n",
       "       5909893.62047637, 5916349.83272704, 5916173.21304367,\n",
       "       5917297.72592564, 5917980.54978886, 5923565.39523141,\n",
       "       5917141.50568742, 5862560.748382  , 5904331.23336638,\n",
       "       5913581.12213897, 5924048.04022367, 5913654.39307338,\n",
       "       5915051.14978368, 5917213.93050604, 5919804.25033122,\n",
       "       5918749.84661264, 5707867.30117438, 5707867.30117438,\n",
       "       5707867.30117438, 5707867.30117438, 5707867.30117438,\n",
       "       5759537.83856585, 5759632.85626636, 5759512.87893482,\n",
       "       5759429.00055466, 5759497.27883665, 5759622.7417302 ,\n",
       "       5759741.90204302, 5759892.02330363, 5760126.0218437 ,\n",
       "       5759994.74229644, 5841441.99548418, 5838080.9600455 ,\n",
       "       5842073.77978459, 5841217.96912641, 5858945.59317921,\n",
       "       5774794.83328826, 5774478.45721985, 5774490.23491515,\n",
       "       5774491.54942642, 5774467.0430597 , 5774429.72891494,\n",
       "...\n",
       "       5841613.44864578, 5841613.44864578, 5841613.44864578,\n",
       "       5841613.44864578, 5917211.74147839, 5857298.10316678,\n",
       "       5764318.22853272, 5897494.69372578, 5897494.69372578,\n",
       "       5897494.69372578, 5897494.69372578, 5919807.5152995 ,\n",
       "       5918746.37110081, 5887685.45341061, 5752438.53319319,\n",
       "       5752438.53319319, 5752438.53319319, 5752438.53319319,\n",
       "       5752438.53319319, 5770573.45272328, 5770573.45272328,\n",
       "       5770573.45272328, 5770573.45272328, 5770573.45272328,\n",
       "       5759764.05375602, 5759764.05375602, 5759764.05375602,\n",
       "       5759764.05375602, 5759764.05375602, 5744520.61564462,\n",
       "       5744520.61564462, 5744520.61564462, 5744520.61564462,\n",
       "       5744520.61564462, 5759517.2469416 , 5759517.2469416 ,\n",
       "       5759517.2469416 , 5759517.2469416 , 5759517.2469416 ,\n",
       "       5773567.18477565, 5773567.18477565, 5773567.18477565,\n",
       "       5773567.18477565, 5773567.18477565, 5889312.37650327,\n",
       "       5889312.37650327, 5889312.37650327, 5889312.37650327,\n",
       "       5889312.37650327, 5889312.37650327, 5889312.37650327,\n",
       "       5889312.37650327, 5889312.37650327, 5889312.37650327,\n",
       "       5889312.37650327, 5896618.12829708, 5896618.12829708,\n",
       "       5896618.12829708, 5896618.12829708])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e8ae950c-6493-4588-a772-0afb70c10c5f' class='xr-section-summary-in' type='checkbox'  ><label for='section-e8ae950c-6493-4588-a772-0afb70c10c5f' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>Station</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-dd60205e-bde7-43c6-b88c-239743226ba6' class='xr-index-data-in' type='checkbox'/><label for='index-dd60205e-bde7-43c6-b88c-239743226ba6' 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([&#x27;0171&#x27;, &#x27;1979&#x27;, &#x27;1980&#x27;, &#x27;1982&#x27;, &#x27;ALK1&#x27;, &#x27;ALK2&#x27;, &#x27;ARCN&#x27;, &#x27;ASS1&#x27;, &#x27;ASS2&#x27;,\n",
       "       &#x27;BAPP&#x27;,\n",
       "       ...\n",
       "       &#x27;ZLV0&#x27;, &#x27;ZLV1&#x27;, &#x27;ZLV2&#x27;, &#x27;ZLV3&#x27;, &#x27;ZLV4&#x27;, &#x27;ZLVT&#x27;, &#x27;ZWE1&#x27;, &#x27;ZWE2&#x27;, &#x27;ZWE3&#x27;,\n",
       "       &#x27;ZWE4&#x27;],\n",
       "      dtype=&#x27;object&#x27;, name=&#x27;Station&#x27;, length=830))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-89954859-3a5f-4b82-adba-f54ead2f3779' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-89954859-3a5f-4b82-adba-f54ead2f3779' 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:      (Station: 830)\n",
       "Coordinates:\n",
       "  * Station      (Station) object '0171' '1979' '1980' ... 'ZWE2' 'ZWE3' 'ZWE4'\n",
       "    x            (Station) float64 1.888e+05 1.929e+05 ... 1.695e+05 1.695e+05\n",
       "    y            (Station) float64 3.385e+05 3.314e+05 ... 5.78e+05 5.78e+05\n",
       "    spatial_ref  int64 0\n",
       "Data variables:\n",
       "    #Network     (Station) object 'NL' 'NL' 'NL' 'NL' ... 'NL' 'NL' 'NL' 'NL'\n",
       "    Latitude     (Station) float64 51.04 50.97 50.8 50.87 ... 53.19 53.19 53.19\n",
       "    Longitude    (Station) float64 5.869 5.927 5.973 6.085 ... 5.604 5.604 5.604\n",
       "    Elevation    (Station) float64 35.0 80.0 154.0 145.0 1.0 ... 0.0 0.0 0.0 0.0\n",
       "    SiteName     (Station) object 'Nieuwstadt' ... 'Zweins niveau 4'\n",
       "    StartTime    (Station) object '2006-01-27T00:00:00' ... '2010-03-24T00:00...\n",
       "    EndTime      (Station) object '2011-11-25T00:00:00' ... nan\n",
       "    x_UTM        (Station) float64 7.012e+05 7.056e+05 ... 6.741e+05 6.741e+05\n",
       "    y_UTM        (Station) float64 5.658e+06 5.651e+06 ... 5.897e+06 5.897e+06"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "knmi_stations[\"x\"], knmi_stations[\"y\"] = xr.apply_ufunc(\n",
    "    GPS_to_RD.transform,\n",
    "    knmi_stations[\"Latitude\"],\n",
    "    knmi_stations[\"Longitude\"],\n",
    "    output_core_dims=[[], []],\n",
    ")\n",
    "knmi_stations[\"x_UTM\"], knmi_stations[\"y_UTM\"] = xr.apply_ufunc(\n",
    "    GPS_to_UTM.transform,\n",
    "    knmi_stations[\"Latitude\"],\n",
    "    knmi_stations[\"Longitude\"],\n",
    "    output_core_dims=[[], []],\n",
    ")\n",
    "knmi_stations\\\n",
    "    .set_coords([\"x\", \"y\"])\\\n",
    "    .rio.write_crs(crs_RD.to_epsg(), inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "x,y,z=knmi_stations[\"x_UTM\"], knmi_stations[\"y_UTM\"], grid['z']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "# interpolate VELMOD - note that this interpolates all variables which in practive will nog be necessary\n",
    "KNMI_station_profiles = sample_dgm_velmod(x, y, z, dgm=dgm, velmod=velmod)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "KNMI_station_profiles[\"Vinst\"].sel({\"Station\":[\"0171\",\"ZWE4\"]}).plot.line(y=\"z\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "KNMI_station_profiles[\"Vinst\"].thin({\"Station\":60}).plot.line(y=\"z\");"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create Vinst section in RD coordinates between two stations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "stat1 = \"G344\"\n",
    "stat2 = \"G544\"\n",
    "spacing = 100.\n",
    "\n",
    "# determine the extents of the line between the stations\n",
    "x_range = knmi_stations[\"x\"].sel({\"Station\":[stat1,stat2]}).values\n",
    "y_range = knmi_stations[\"y\"].sel({\"Station\":[stat1,stat2]}).values\n",
    "\n",
    "# determine the total distance, make sure the number of samples along the line\n",
    "# reduces the grid spacing to below the value of \"spacing\" set above\n",
    "dist = np.linalg.norm([np.diff(x_range),np.diff(y_range)])\n",
    "n = int(np.ceil(dist/spacing))\n",
    "\n",
    "x_smp_RD = np.linspace(x_range[0], x_range[1], n)\n",
    "y_smp_RD = np.linspace(y_range[0], y_range[1], n)\n",
    "\n",
    "distance_along_line = np.sqrt((x_smp_RD - x_smp_RD[0])**2 + (y_smp_RD - y_smp_RD[0])**2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_RD_line = xr.DataArray(x_smp_RD, coords={\"inline\": distance_along_line})\n",
    "y_RD_line = xr.DataArray(y_smp_RD, coords={\"inline\": distance_along_line})\n",
    "\n",
    "x_UTM_line, y_UTM_line = xr.apply_ufunc(\n",
    "    RD_to_UTM.transform,\n",
    "    x_RD_line, y_RD_line,\n",
    "    output_core_dims=[[], []])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "model_RD_line = sample_dgm_velmod(x_UTM_line, y_UTM_line, z, dgm=dgm, velmod=velmod)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "model_RD_line[\"V0\"].dropna(\"unit\").reset_coords(drop=True).plot.line(x=\"inline\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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hjc7UD/Q0LE76FcJ2ENJJ9zQbgzoOSl9T/Vi43I5HX/E2WrN5X3fjWLgcRpskcCzcjeP1u4+nS2YM3R+Ry2fiFRZezcQjTLzCJKTHydGT5GhxQlqCkBbHRqPVDtBqB2mzg7Q6QdrsAEnpouDPO8esPkdlpB21x+l/EIBu2+hxG1d8+LF3Tk8s2uH0KK5BrWVH9vzNpPsY1A2q4WgaTMW0KY6DZvUIyN4UJX1ecDMvvJaV+a7XRSu7O9k70fVXjAtT8EqfPLjiKYwxfj6qjBuKEw2XZpPjTZHjSZHjTfYsJwl5ez57Upl1Od4UAbeJ27DxGBYe3cbQR3fNRx0PHTe4aev20tLtp6krQHPUT3M0vdwU9RNLjZGlZgqhOQ5aIomRSI5qPxkrkN4TG6r3iUnLJPntn9BXHpHQtzfBb6ZjQt9EwT3lBTKT9iOT7qTnY2Zd79zp22v2cI/ZjHWsd7nnpbZ3mUHK9r4Aj0YqW05qVL/xcFCWrOyiRJZCoRgxmnAoC0UpDXdTktNnCnVTEIiT403hc1ljdry44yIhXXQ5XrocL522j07HR5fjRcchX++mQI+Sr0cpMKJ4hE1QSxLMTTI99+jB9d0pg+YewdUS9dPYFWBnUz47mgqUABslQkqEZYNlo2NOdHVOehwpcOTIhdJotj0ZUSJLoVAcF11zKA93UZnXSVV+hMr89Hxabhdu/fixerYjiCZddCU8dCXddPbMuxLuzLquhJvOpIdYykXCNEhaOilbp+G8uSSli5TU6eskl8dzSQpJUEtSoEWpXr+dAn+MwmCMomCM4pwYRcFuioIxwr4UAbdFoCDCjIL+QeuOhANtYV7fP43X9k1nV1M+o7NZKBSKkwklssaTwVI4DIdBXIPZ6OorxzquaTDGOtarN/ZpLH6fsTj/3vMb63iq8fo/hMCl2ZSEuikNRdPWqZ55eTjKtPwuXGJwMRV3XNRaedSbudRZuTRYYersXJqsEB2On4jjp9vxDBQnnvQkc4dSvyPmR6H/S7agEy+d0su+ZWcPLJxMT16RokTvpFSPUKpHKDE6qTJaWeQ+xHSjneqCCNUFEf5x2Vaa7Bze3FbCa/umsfFQKXbfmD3VDV8xUrJ47Sh3YXZRIkuhOGmQhLwpysJ9RFRmuZvCYOyYGq7bcbMvVcQ+s4i9qSL2munlBis8UECdQO1wQro5YBVywCoc8F2u3s1Kzx7O8+7gLO9uivUurlrUxVWLdlMXCfLvr53KK3srOKFOWHFSY6NhM/KXv7Hp+3ryoESWQjEF8blMqvLT7q+ZBR3MKmxnRkGEgOfYMTGxlEFDZ5D6nqkhEqS+M8A7py6l0Q5xsomJdifAX+JL+Et8CS4szvDs44rGNzmruobycJQvXv4qW+oL+dmrS9nRNFCkKRSTDTnKmCypYrKGhRJZ40lPrpXjcrThYbLpfsjCWHpj7oYcS5fjWKSRyIabtS9CYGg203O7mJHfwYyCCOULLGa5m5hmdAy6iSOhyQ5xyMrLTLV95h2OHxDpliG/Z+pFH7i/Ebe3w9juuMcYTh2GUPZox0th8Ko1h1cL5+CLpvio8yr/FFjLwrIWvvcPz/HCrip+8cZpNHYFh1EhhYKJHcRaMa4okaVQTGJcmk1hToySnG6Kc2IU53RTEjy8XBSMHTXFQbMVZI9ZzM5UKTvMUnaZJdSa+aTUbT9q4tLNT7ov4D/jy7gj+Hfe693I+XMOsHpmDf+7bRa/33iKEluKSYmKycouqrVVKCYMSY4n1dPjLU5xTnfP1CuqusnzJ45rFOtOutjfFmZ/Wy5byuawO1XMHrOYiNNnSCfVLo4LzU6I+zvfx3/EVvC5+B9ZOr2R9y7axRULdvPXndX87u2F1EVCE11NhSKDLTVsOYqYLJWqcVgokTWeHKt3YT/XUpZNxYO5J8fTNdlzrmPhhhxTl+OYZ7M//LsKJPmBOIWBGIXB9LwgEKcwGKMwECevxKRI78Irjp9DKuEYNNhh6u1c6q0w9b3LdroXXyZWKheI92yk9UxjxVhcHmPpIhzr/R231+KxC2yXZdzk/SSnd+znE/6XWOXey2UL9nLxvH28tKeK321cyP62vKFXeCoy0kHvJmiw6KygBgKc8iiRpVCMkKA7SWlPz7zSUJTSnK7M5+Kc7iHljwJos/002SEa7DANfUWUlZ6398ZJHYGKP518vGXN4LauGSw2avm47yXOd+/kgjn7uWDOftbXlPGf75zC24dKUaZFxUThIHBG8QbmoIThcFAiS6E4Ci7dpiSnJ9VBTjSTQ6q0Z13wOD31bEfQ2u2jpdtPa9RHc7c//TnqZ/dpc2myQzTbOZjqNpxybLKm8+muGzjr729y3dItnF19kOUV9SyvqKcuEuRvu6r5265q6jqVK1GRXVRMVnZRrft40usuHGy8wWwnLsyGezILvSTHYk+9LkdNl+T7431EVFpAFcywmKZ3UKwffRiWXprtIHV2LofsPA5ZudTZedTaeelknHbocD6aQM/US2+ymSN67E0K69QY1mFY5zOknn/D2OEY9Eocbf1fufhMXuFMpkXb+YjndT7gfovycJSPLN/ER5Zv4h1rGmvfKOfFPVVEEr5hHCy7jMmYqVPZ7TdSMr+J+m2mKkpkKaY4aSE1PdzJtNzO9LxnGopLr9txpwWUnZtOedArqOw86q1cEriydB6KE5lDTh5fj1/B9+MXcYFrO1e532WVsYdTjUOcetYhPrFqPVsainltfwVr91fQFFU9ExXjw+gD35W7cDgokaWYMngNkzlFrcwvbqG6oD0jqPzuoweXW7agKRqgoStIQ2eQhq4gO+fOSlujrDw6pA/1lqkYK+K4+bO5hGesJRSIKJe5NvPBrnXMLW5lSXkjS8obuXX1eva05LF2fwWv7a9gX1se6hpUjBXpmKxRDBCtrsVhoURWNpioMc36vnGMVx2y7Ybscx6lOV0sKWtgfnELM+d0MltvQhcD37JsKThk53HALmC/XcCBnqnWzqPJ6XHpeYCinqlXkw2SfHMqMCyX23AYp8SkY+lyHOtei6Pp4dhCkF/bK/m1fyXl3e1caOzgQn07y/QDzCpsZ1ZhOzcuf5f6ziCvHahg7f5KtjUW4YzECjFK60M2xkw9mVG/79RFiSzFCYPflWLptHqWVxzitGkNlOZEB5Spt0NsMqez1Spjv13IAbuAGjsfa6oqJsWUoE7m8ZS5kqfMleTSzXmunVyob+csfQ9loSjXLN7GNYu30RH38vqB6fx11yy2NBQPHDNSoTgOzijHLlS9C4eHElmKSYykKq+DM6bVsLziEAtLmzC0wze45Qi2NxWxtaGI16oXscmaRouTM4H1VShGTwcB/ttayn9bS/GR4uq1a1lVdZAVlbXk+hJcPn83l8/fTX1nkOd3zeKvu2bS2KWue8XQUDFZ2UWJrPFEE9nrUTNYUrssJBgd62N4DZPTyus4Y3otS+c0UKZ39vt+n13AK+Yc1pqzeNusJO72QCXp3nqCKeviGypZ6Z04BseYLOMRjuR4Y91j8lhlY7j57Tnn81vAwGZZ6gDv0TZzub6ZslCUG5e9w43L3uHduhL+d8dsXtlXRcoepFlX7qjJTRb/HwdN5cnKIkpkKSYYSUU4wvLptZxRUcuikkZcfXr8JaTBm2Y1r5qzecWcQ62Tf4x9KRRTFwudN5yZvOHM5GH7ci7WtvM+fSOrxN7DQfOr1vHcztn8ZfscDkXCE11lheKkR4ksRdbxGCanljWkhdX02gGxVXWdOayrmc6zlaezwZxBUqVJUCj6kcDNn5wl/MlZwrL/3MTFc/dw+bxdlOR088ElW/ngkq1srCvlz9vm8tr+CiznJDfxKjLYUmCPwuQ9mm1PRpTIGk+ONXbhWDCW4/gNBWfkvRXLQxHmvKebc4xdLDf24xF25ruk1FlvzeBlaw4vW3M4KAtgOumhANWzYWJ774/y2OPmWhvKvrPtIhwvl+NxWP+hxaxnMd/A4WxrN9dp6zlP7OK08gZOK2+gRQZ4/p2ZPLtjLo1RFbs1OcneTW6PMvDdVu7CYaFElmJccOsWS0rrWT79EGdMr6E81D97+iEnzMtmWlSts6qJ456gmioUY4XsmbI84HsPDhovybm8ZM+ljA7+QXuLf9DeolhEuf60TVx76iY21E7jme3zWFczfWSpIBQKxbBQIksxRkgqcztYNu0Qy6elY6vcxmFrlWlrbJBVGWG1zylEJVhUnJBoKURoL7gjYMQQRgx6J2GDGYRULjKZj4xWQKKIbAuvenL5gXMhP3bO4wKxg5saX+H0aXWcUXGIMyoO0Rbz8vK+al7YW832piLUvXjy4EhtVALbUb0Lh4USWePJWLkLj3ZRZ6NHyjFckkF3kooPJDlb381qfQ+lWv+egPVOiJftObxsz+ENu5oYnp79MFEv+4o+jGtoRZYSeo7rvo7E6EbL3YoW2g7GMQYHd0fBHUUEa6HgXTA9iNYqTGs2MlEytEqOUWJXE501nMKa8lOolK1cywY+yNvk++O8b+E23rdwG4dkmFc3VfLi3mr2tuWP4uCKEZPF3oXKXZhdlMhSDJmQJ8HC4gYWlTSwqKSRWfmt6H3yViWkwXq7ilfs2ay1Z7NXKmuVYgrgbkfL24wI7UGInp6v3blo7dMgFUCkfOl50g9SR3o7kf4OZKgRmV8LriSydCcGO5FmELt1GTI6K+uncZACHuVSvseFrJZ7eQ+buZjtTBMRrl2yiWuXbKK+M4e1Byp57WAV25uKRpVPSaFQKJGlOAYFvm4WFdf3iKoGZuR1DCiz2yniVXsWr9qz2WBXqZ6AiimCBF8jWt4mtGDN4bWxUox9ixDt0xFHeYEQKT90lkLDfKRwkKEGnKK9OMX7Ea4oRumL2JEGnJYVILPfBJsYvMhcXmQuHkzOlzv50P43OaOilrJQFx9cvIUPLt5C3DTY3FDCO/VlbKwrZ29bvsowPwVwGF0PQef4RRR9UCJrPBmJu3Aw12AWTMl53m5m57cwK7+V8iXdnKLVM01EBpTb7RSx3qlig1PFBqeSRvrk4lE9ASct4+YaHOF+x7Q+Y+oitPE6+3HKtiJzmns2AtFWhXZoMVq0KL1uiAYegYboKkfrKkfuX4kzbRPO9I3o4R0Yegv6jguI5YeGfR5HHGRESAFxXPyFhfxl9kL8MsnZ7OFSuY1z5G7yXPFMDBdAOz42Mp26twPsai1kZ0sh7XH/CCut6McJlYxUWTeHgxJZJxlBd5LKcDtVue1UhjuozG1nRm4b+b74gLK2FGyTpWxwqljvVPGWU0kHgQmotUIxzhhRtNAOtNBObKPnXrB1tObZaHULEYnRJ/YUjoFesxTRVYw950VksBVryf8gWs9DxitGvf/REhOedPyWOAUhHebRxEq5j5VyH2eynzziXMAuWHp4m9aYj10themptZC9bfm0xvyoMIGj43elKMvpoiynk7JQJ2U5XbTEBM/XTnTNFOOBEllTDknYm6DIH6Uo0E2RP0pZTmdGVBX4Y4NuZTuC2s4wu1sLWV85i22ylK1OGd14s1x/hSJbOAhfPVp4OyJwECF6rMhJP1rjXLTG+QjTN+ZH1TqmId65Gnve35E5LbhKn8PuOBW743QmiziRQmM7pWwXpTzBKnRps5B6lshDrNq5izmFLVSEIxT44xRU1rCy8rBLNW4a1HWGONQZ6pmH0/NIiEjSy2Q5x/HAa5gU+GMUBrop9Hdnlgv8MQr9MYqDUXJ9iQHb7W4d++vsaIx+7EJlyRoOSmSNI9f/wztYniD6uybRlIeulIfulJuY6caWGo4UOFKAk7YayZ7JkWBoDi7dwaXZGJqNS3fwGiaJc/yERZwwPVOf5TwRo4TOfok+B6NOhtgji9gti9kti9hDETtkCYmAm4yhSo0DqOhLNsYrHO7xRuQmlAh3K1pwD7pvL7gPW3BFpBTRuADRXonoeZCM2/PECqJtfQ9O1ZvI0u3oue+AnsTqWMmxTmzEbtZR/n+W0HiHabzDNJ5cdCYAPpligWxgsVPHQlnPYllHtWzF57KYVdDGrIK2AfvpxMN+UcABkc8BkY/1skNzd4D2uI/ulDvTPk6W2C9NOOR4koQ9CULeBCFPkuQlPvJkjDxi5MkYRTJKCV2UyE5CJIe03zb8HBR5HBD5HBR57AjnAL8Z35PpwUHgjOL3Hc22JyNKZI0jH9LfJqSLfub1bNEsg9TLEA2EqZW5aVFFMXtkobJOKU4yJLgiaIH96IE9CHefWEPLjWiZmbZaxfOyWishdfT9q3C6C3Bmvoqesx2Jjt1xBieCtScu3LwlKnlLq8ysc0mb6bKdGbKNKtlKtWylSrYxQ7ZRRoQQSZbIOpbIuvQGqwffd3fKlRZdpruf+OpOuYibLkxHx7T1nrnWb9lyNDQh0TWJoTlowkHXJLpwMLT0sscw8bvSk89l4nel0nOj93N67jEGeWG1jv27RHHTKEI0EKJR5NAgcjKfG0SIgyKPqOjfBjvWQOvWeKEsWdlFiaxx5Gf2WRTbNuUH2wi6k+S4UgTcSfwuE004aAIEMrOsCQchQBMSy0k3HJajZRqUpG3QlBcigo9O6SWCjw58RKSPCOmpUYZoIgdT/bWKkxoH4W1C+A+i+Q8i3IdzuElHx4lV4jpUjeiYjpDDN9lWmSZljsQjwQ24ELilJA686NZJ6EPfp9Y8F4TEmbkWI2cLSB07smzYdZoMmEJnnyhkH4UDvvNIk0rZzgzZygzZRoVsZ9bBRooC3YS9CQKuVEbUBNwmAbcJdGf5DAanM+GhM+klkvRQX5pHOz7ahZ92/LSKAI0iRCNpMRUVnomurmISoZ7E48hPtXPRNS/MOE7BwXK7aRz73xFHWZ6KTPXcd5Pt/xvD+mTVRShMvMlDyNyDyNwacPVx3TgadJYh2qrR2qowHHdmf0Opo11mc0O9wzInTJm3hLzwQBHRyycdi45UK02pNl5OtPM/bh30Y7/9i5Z5CM1GzngDI/Qu0vFjxxYAE+AiHKfrMYGLnRSzk+LMOjm3fxm3tMghSY5MpKee5RAJcmR62U8KNzYeaeHG7pks3DI9N3Cw0bB6km6aQuv32UYjJlx046FbuIniISo8dOPumXuICnfm+y682P6RWW+G+lOOQOePmNEnI1WWrOFwwoishx56iGeeeYaNGzfidrvp6OgYUObgwYPccccd/O1vf8Pn83HDDTfw6KOP4nYfHhdv06ZN3Hnnnbz55pvk5+dz66238qUvfQnRpwvtiy++yN13382WLVsoLy/nM5/5DLfddls2TlOhUAwLifA0oOdsRfhrcfrGI1puREcFor0CItMQzvDGx1yeSHGJ8FLlK6S4sxR3Tn8LhemkkNLBwemZS1zChVv3UuAtocBbwoIQXJ9qZ393Lc+YnbzqO3odtKZTcIwUcvrbGOE3kHYAJ1l51PJTkZQwaMWgVahezONFJhZ4FNsrhs4JI7JSqRQf+tCHWLVqFY8//viA723b5sorr6SoqIhXXnmF1tZWPvrRjyKl5Ac/+AEAnZ2dXHLJJVxwwQWsW7eOnTt3ctNNNxEIBLjnnnsA2LdvH+95z3u45ZZbeOqpp3j11Ve5/fbbKSoq4oMf/GBWz1mhUBwFYaEF9qLlbEFztx9enwgiOioR7ZUQLckEsA+FsGXxQRMWevIo9RUTzsnv933CjtEYb2CP1cp/5qbYUuAeaKqwHC5qtVgdczPXKKLMN42QO48l7jyWAK2JRt7qOsD3XHJQ65aoOxU8USjahSvvRVKtVyCto1vNFArF5OaEEVkPPPAAAE888cSg369Zs4atW7dSU1NDeXk5AN/61re46aabeOihhwiFQvz6178mkUjwxBNP4PF4WLRoETt37uTb3/42d999N0IIfvKTn1BZWcl3v/tdABYsWMD69et59NFHhy2ypJZFM/BUd6kpxo5xehEdnmtw6Bds3/36WruRxduhcMdhd6BtQOtsRPM8iOcfzsR+PFeg7XB+0uQ8zU+Fr5CiQCmGdnjEAkc6tCWbOJRs5jV3J/+3xMAp0nputUEsUgJwaTxf6uZ5AJqZ3l3HxxvcLPCUUewto8BbwiXeEk5PNPJM1x5+5z9yPwIOngXuGCJ8CE/u88Q7rkQ6OUc/j0nmFuzLyW70GOpV7mTRXeiM0l2okpEOjynza7322mssWrQoI7AALrvsMpLJJBs2bMiUOe+88/B4PP3K1NXVsX///kyZSy+9tN++L7vsMtavX49pDj4obDKZpLOzs9+kUCjGCgfNW4Or4Hnkkv8HZe+mBVYygKg5A/HudWgHVyPiBUcd6gbAZdu8N5bk/oTBTynk94GF/GvRWZxZsJQyfwWG5iJmRdkX3c2zkTe52fU6/1Bew6erE/x2mhvHGH5zWRt0cf9syXUVddylv86myGYsx6TAW8I/Fa3mJxSyOt6/27+QGmLPBRDLA1ccT95zIIaWGkChOB6O1EY9jYZHHnkEIQR33XVXZt1NN92EEKLftHLlyn7bJZNJ/vmf/5nCwkICgQBXX301tbX9M7i2t7dz4403Eg6HCYfD3HjjjYOGFmWTE8aSdTwaGhooKSnpty4vLw+3201DQ0OmzIwZM/qV6d2moaGB6urqQfdTUlKCZVm0tLRQVlY24NiPPPJIxtKmUCjGCL0bPbALPbATYfTpZdZZimg6BToqEcd4TwxYNu9N2Sw2gpR48igIFOEO9e86bzsWrckmapLNvOSJ8t/FBhgaPWapMT2dd/Jd3Jkf57S2ddwVKWZGcBYVgRl8zj+dnZGdfFF0kTDSJg3huGHXpcgFT6O5I3hy/0ay/VJU8jrFicy6dev42c9+xpIlSwZ8d/nll/OLX/wi87lvLDXAXXfdxdNPP81vf/tbCgoKuOeee7jqqqvYsGEDek9v3htuuIHa2lqeffZZAD7xiU9w44038vTTT4/jWR2bCRVZ999//3HFybp161i+fPmQ9icGGf9JStlv/ZFlZM9YgcMt05fPf/7z3H333ZnPnZ2dVFRUIHWJo594frxheHIUk4ysuGfG1T3loHnqcOs7IFxz+GK0PNA6G1rmI5I9Q9xo/d0xRSmTKwWcInMo8RSQ5yvs5/4DMJ0krYlmGlJtvGNE+UOxoKOwtxlMN+p996nJdFpMWztK5QdZfdT/oOdc3i40+GhhG++vbeDDdjUlvmksyD2F70T38SmnkZRhICQIKwC7L0HO+zO6uwG/+0W67fPTJz7Sm3SMr49J7Q4cTt0muM2TWXxO2AjsUVwIvdse6bHxeDz9vERHEo1G+fCHP8zPf/5zHnzwwQHfezweSktLB902Eonw+OOP8+STT3LxxRcD8NRTT1FRUcHzzz/PZZddxrZt23j22Wd5/fXXWbFiBQA///nPWbVqFTt27GDevHkjOt/RMqEi68477+T6668/ZpkjLU9Ho7S0lDfeeKPfuvb2dkzTzFimSktLM1atXpqamgCOW8YwDAoKCgY99vEuLoVCMRg2wuhAc7UhXK098zaE1sct31UCLfOhowohj2iubIer4harjSAVvhLyQkVoor9lK2HHaEk0U2e2sc4d57+LBamCnv2IgZYqISXzrBSzLBO/lHiRSKBDaLToOs2aTouuExHaqAf1/eN0N3+0avjC/kNcnLOMymA134s6fMpuwdJ6LFrxAthzIXL2c5B3AE/yBZJd5zP58n4oThRG6/Lr3baiov94m1/5yle4//77j7rdHXfcwZVXXsnFF188qMh64YUXKC4uJjc3l/POO4+HHnqI4uJ0uo8NGzZgmma/UJ7y8nIWLVrE2rVrueyyy3jttdcIh8MZgQWwcuVKwuEwa9euPTlFVmFhIYWFY9NzZtWqVTz00EPU19dnXHpr1qzB4/GwbNmyTJn77ruPVCqVMUWuWbOG8vLyjJhbtWrVANPimjVrWL58OS7X2LoPFIqTBwdhtKO5m3oEVSvC1YEQzoCS0nEjWmZDyzxEon8Wdpdtc13cZrk7n2mBcgLBUL/vu61OWhIt1FjtvOpL8JcCAwq0Hk1y7Pu31LZYnkqQK/vXSQB50iHPcphDWgCmgCbdoF7XadANOrQRii5D46E5YO1ezxXBM6gKzuI7XQ7/bLdneh+Krmmw5yLkrL9ieA4AL5CMnscUCqlVnIDU1NQQCh2+/45laPjtb3/LW2+9xbp16wb9/oorruBDH/oQVVVV7Nu3jy996UtceOGFbNiwAY/HQ0NDA263m7y8/u1BSUlJv3CgXlHWl+Li4gGGk2xywsRkHTx4kLa2Ng4ePIht22zcuBGA2bNnEwwGufTSSznllFO48cYb+eY3v0lbWxv33nsvt9xyS+ZCuOGGG3jggQe46aabuO+++9i1axcPP/wwX/7ylzOuwNtuu43HHnuMu+++m1tuuYXXXnuNxx9/nN/8ZvjjSkkjPU20KXq4jFd1lRty6EwaN8wI6+FrToG/CQI9k78Z9EHGI7HdEMuHeEFmEokwvQJCauDkmXy8XnC6VsA0/zS8QX9mc8sxaUrUsy/VwjPBOGuL+sRxiIE9AAe7BAOOwzUFNXCopwF3m4iF9VDYBV4THAFtAWRbEFoD0O7HbetMty2m2xaQBG8KUdyFKInwq+1LcHoF11F+vyP/36/NERg713NJznJm5szhgbaNfNnV5/eKVsC+i6A6LbSkeIlk7FyGLLRG8D9O6DV4ojUWo/yxsjlSjQ2jdBemCYVC/UTW0aipqeHTn/40a9aswesdfEi36667LrO8aNEili9fTlVVFc888wzXXHPNUfd9vHCgwcpkmxNGZH35y1/ml7/8Zebz0qXpAQH//ve/c/7556PrOs888wy33347Z511Vr9kpL2Ew2Gee+457rjjDpYvX05eXh533313v3iq6upq/vznP/Mv//Iv/PCHP6S8vJzvf//7KkeWQnFUJEKPoLmb0FxNaO4mKI0MLGa7oLsYYoWHRVUqyNEUwMXRJO/R85ihV+ILBzPrU3aCuvghtlgt/KJE0pLfGww+vGSjLilZYCZZaKXSAktImNWEOKUe4T5izLppEcS09DkJR0LEj2zKQTaFkC1BSLiRBwuQBwu4RnSzxe1mp9uFPYzG/cG5kLfjHc4ML+X0vCXc1PIGT+Qctr6Jzgrkvguh+m+43PsBhie0FArGzl04VDZs2EBTU1PGowTpvJYvvfQSjz32GMlkMhO43ktZWRlVVVXs2rULSIfxpFIp2tvb+1mzmpqaWL16daZMY2PjgOM3NzcP6MyWTU4YkfXEE08cNUdWL5WVlfzpT386ZpnFixfz0ksvHbPMeeedx1tvvTXcKioUJwfCRHO1pAVVj6gSWmpguUQIYsVpYdVdAolcjmlSsR0WJy3e73iYF5hOQcHhhjFhxzgUq2WDbOUXZYJ4gc5IxYVLSuZbKRaYSTIOjqJOxGk1iPDxB+oVGpAXQ+TFYF4j0hbI1mBacB0owB93c0YyycJUivVeD/tdxpBdiffMSvLk/j3MCM7iffmnsT3yNq/3yaUlOiuR+y5EzuwrtM7mBGrKFRNMtgeIvuiii9i0aVO/dR/72MeYP38+n/3sZwcILIDW1lZqamoyoT/Lli3D5XLx3HPPce211wJQX1/P5s2b+cY3vgGkQ30ikQhvvvkmZ555JgBvvPEGkUgkI8QmAnVnjiNSGyMz8AlmOT8aU+Q0pg5DNLIIrQtvrLnH7dcE3jbEEe4c6egQK0qLqlgxorsIbF//HfW5F7w5Jpe2Oiw0PZTqOeQaOYQ9eXj8h7dxpENDvJaNZgM/KnOIFuoM2mT1OY+jXmMiLa7+sXo7cmcJmD37yYkjFtbBtI4Rx7ELXSKKu6C4C3lKHfJAAc72MvzdHs6NJzgvpxNt6QH+/c2jNPR9j+vW+HRFI79oCJHvKeKfA3PZYe2mzdXnvKOViP0XQlVaaGl6lHj8fKQMTOrEpFM7Vn8YrdtgRU/AXuhDJScnh0WLFvVbFwgEKCgoYNGiRUSjUe6//34++MEPUlZWxv79+7nvvvsoLCzkAx/4AJD2Qt18883cc889FBQUkJ+fz7333svixYszvQ0XLFjA5Zdfzi233MJPf/pTIJ3C4aqrrpqwoHdQIkuhUAyGFsPw7MXw7kZztQ/4WqYCGUFFrATi+fRTUX2eGZrtcEnMZIX0Ue7JJdedS048Fy0w8A3EkQ6dZht7Yof4Vbibd8pdPVagkeeH8jkOc+0U88wUcsu09MqcOOKUepjePtpOgv0QmkRUtyAqW5E7S3G2lSGbQtjPn8JcT4qdbtdxrVptPoOH/Tt4MBUgz1PII2YXt9rN/Yfh6ayEfZdA1QvoRgt+/59IJM7HdibOLaI4MZAInFEoXjnGalnXdTZt2sSvfvUrOjo6KCsr44ILLuB3v/sdOTmHRzr4zne+g2EYXHvttcTjcS666CKeeOKJfpawX//613zqU5/K9EK8+uqreeyxx8a0vsNFyN4kUIoxo7Ozk3A4zIyvPoR2lEC/YaH+IcV4MKCttNA9B9PCyl2XsVZJKdLxU7GSnpiqYrCOPoBv0LJ5b7fNEi2QTgLqKcKj+waUS9pxIql22s1O6p0oW11Jni/QaPMe8e53vDZ9EEuWJiVljsVMy6TStg7LvzEQV9owbkgZdeO8NQPZlA4QrnHpvOr3ktT6CKaj1OMTuy0+7FuBJnQ2tL3DF4ODjDjh7sSe+1d0vR0pBanUqaTMxQzblaosWdljkMvHiSeoufdLRCKRIQWTj4Te59K/rr0ST3DkPeWTUZNvrn5mXOs6lVCWrHFE6jKrSeaGzKTpuqbIGkftrWWhu2vxOAchWIPQDz/IZawY2TEbItXgHNE9u88zvDRpcnVMMM/IocSTT567EMPbvxG3HJO2ZDONqTZ2E+XVHJv14Z7s6pnLsW/PwMFre6y7SZOSG09/C1mbB3W5h12CAIVdiNlNo3ILjgQRTKGdsxO5uxhn03QqTLheNPGkKDl2ULyQ/HSuzpwt77IyvJSleYv5P7E3eNxzxMPRCqFtvwo57VVE7l48no24rTqoOY+uqoHCtv8xRn9+47KvkxBpTMLnhGJMUCJLoTjZECl0Vy2G+wC6uxYhDvekk6kARGYjI7MhFR5U1QQtm2u6bE7VQ5R5i8jzFqH5BiYBbU00U2e2s9Ho5g/FOrFML0Cd0Q4PI6QkRzrkOg650iHXsSm1LeSrcw4X8qbSoqq6BZEbH9XxRlVXAWJOE6KoC/uludARYLU7wctB73Fdh/fOS/Dk7t1UB2fzft/pNHVs4OnQEb0oHRfUnI/smg7lryECTcg5f8SwV2LZ1eN4ZooTEUcKnFG8aI9m25MRJbIUJxkSoUXRjHaESCC0OEJL9CwnAAcpXSBdSGn0zN1Ix4d0/EgngGOHONFuHSFi6O5D6O4D6K66fklAHTuI6JiB7JwB8SIGmCVsh/d0W6x2/Ez3FlDoLcFV0P9BHzUjtCRbqLU6eNWX4Nl8A/J7hdfwUisciUtKCh2bPMcm7DjpuXQGl2leE6a1I6a3Q2E0q1ar4yFy42gr9+K8PJdZKYu2hMkW33F+G0PjzhlN/KI2QLG3jI+FltAQfYd1wUESP3bMhu4SZMWLiEATfv1lUtYhEuaZjPY/UEwdbDTsUaT9GM22JyMn1pPiBEPq6WnyMYam6Uls5fY1aYAD3laEvw7hbwBvC0JPjmq/Ugowc5CpXEjmIlO5yFQeiVAO435LDVk0pPBFmxCBuvS5ezr6fSuTYWRXFbJrBiQLDgezapAKS5a3pbiq00O1kU+xtwRfbv8YrIQdoynRyH6zlWeDyf5JQIfg9ht0zL+euUc6XHfqO8jmILQEocM/+Aa6DaEEhOOIUBzyYpNOWB2JVtwFpx7E2VjFGbEEK07fxL/vOP2Y20T8OncX7+GHLR7C7nzu9S/gX1M7OOAdJK7GzoH974GijVD0Dm5jLy6nkZhYhS0HDm4/ZCbbb5rt+ox3O6dN4oZUMSqUyFJMMSSa1oHuqkOb1gC+hn5xRgBSamlxZAXA9oLtRdpesHyABpoJwgTNTI+jp6XAiCOMGLi6EHoK3J0IdycED2b2G5AgnRwcJ4xjh3DsMNLpmUsf4/dkcNC0CJrehmY0o+staHorIvdwwy0laTEVrUxbrFK5/eqzpDvFFXEXM9y5FKWKCLlyIffwESzHpCXZyKFkK694uvnvIh2nYBSWKinxIQk5TnqSDqEeC1VQSuRrs/qXDyTSuanCcQjHIRSHQGpSC6qjIWY1Izr8yP1FOG/MJCfHoUs/tnVgf66LhxNb+UrsNMLufB60q/ikWUPUNdhbnIZsPh2i02DaSwhPFwGeJ2nPI2mfjmr2T26UuzC7qLtNcYIjEVoXulGP7qpHNxrQtP4JJaXthlgZMlaGjBdDKg+kPqT4/4HvlxL0BMLdDp4OhLvj8LKeROhdaHrXgGHypOPCcfJw7DxsKz137DyGLlCctEtTjyG0bjStA03vQNPb0bTOwccATIWQsXJkdxnEysBJ93Qti5tcFLOYJ70Uu3Io8BYQ8ueBv8/RpEN7qoWGRDPvaJ38pljQlYmpOn7PJE1K/FISxCEgeyeJv2ceOJq7r5dQHIq6EIXRtHXKN0jPuhMUIUBbehC70wdtQS6MJHgm14elHfuCfLXUxc/2beQO5wyKfeV8J5rkVq0Z52gCLV6C3Pt+KFmHyN+OR9+BodWRsM7ClkVjf2KKEwIHDWcULr/RbHsyokSW4sREJHB5duBy70TTu/t9JaWBbZWgtZcjY2WQPCKH0+gODLYPGfdBvLyPCJMki2NoegdCi6DpnWh6JC2AtChCM9G1JnSjCVefcBopjX6xX0gDSe+AlxIhUggtlhZYxxjPTUpXj4ArxLELsa1ivA0hFkZTnJPQqBZ+Ct0hct25BN1hhEccsb2kI9VCU6KVHaKD/8pz2J/XK6YGbyY0KdMWKOmQIw9bpALSwT8E/4oDdAtBROh0ahoRTaNTaHRoOv946Ybjbn8iI3SJvmoP9l8XkJdwc25Xgr+Fjh8I//tqF2Xb3+JDvjOpDFbz7UiCu/xd/XNo9cVxIetXE8uZhs94DV104Tf+l5RzCkn7VEbbAUGhUBwbJbLGEanLoXXNVe74ISNEFLd7Ey7XnkyvOOlokCjG6bFWkSgCdDK2nSHGBVXFTUpNB80RaEg0CaKnUKch6TA0Gl0acePwg+mwNUzgbgkAASCd8FLSO5iqDe4Iwt2O8LQj3G3pZVc3QlgIYQHHH85FSgGWPy3yUmFkKg+SeYQ6w5zR5WaOaVCGm1zdR64rSK47D58/2M9C1UvMitKRaqfN7GSfiPJf+Tb78ntFVZ/efz1uvXDGpecQknaPmDpOWkLdBn8qM4k+y/hT6L4UYQ3Cxz3zqYnwmeir92C/MI/KFMxKWuzx9fwHRx1YWvL9UwRF777FhaEzWBBewPci2/h08BhCC/DtrgKtFFnyOiJ3Dx59C4Z2iLizGof8Iyo2Ric4FE4mz9Ox2vkspvqxpcAehctvNNuejCiRpTghECLWI652ZlxjMlGA074IGa0CObRLeXrC4j1RySz8hHQfAcOH3/DjM4K4XZ6heMJIJuMk7BhxO0HCThCzk8ScFDFp04VFRDi06ZJ6Q3LQo1Fv6EA+MpWPjPY9qRToSdBSPbFfPZOwAC2t4BwXvriP0zt8LEh6KJdu8nUvQd1HwAgQMAL4jCDkDF5XKSVdZgcdZgctZie7tRh/Dzts6xeornGkpS/oOMywTWbYJrlyoCsyg8uCYAKRk4CcJOQk0iIqkAS3fULGTGUTkd+NtrAOZ9N0lnenOOgxMI/jNgT40hKbwLtvsyK0lPnhBfy4axef9reRGmQcuAyOB1l/HjJahShdi250ENCeJSkXk5ILUQNNnxyomKzsokSWYpJj43Zvxe1+t8fiA5ZVSip1Ku7aco71Kuy2bS6N2CyzPZS7whR48gm58hB5R9/Glha9gyDIPq+eujDQRPoh5NF9eHTfkC0wjuNgJpKknCSmkyLlpEjaKRJOCiklmhBoaGhCIBDoQseluXBrLryGD58eRPNrg1qkejGdFN1WFzGrm6gVo9WOsc2d4Nl8QVN+39v86Le8VzpU2SYzLIsieTh3lgNERdqV19nj0utdvu7KFzJCajRDdZzMiDmNsK8QX9TLqbEU6wdLzzAIdy9J8vCm9ZwTPJ2ZOXP4cfd+/tVooM1znGa9awYyVoI15xVcogaveAeXrO2xap2sdsWTByk1nFEMqivHZEDekwclssaRicr4LqbIm4auNeB1r0XTugCQ8SKc1uUQL0uHi/cdTkXAoq4UF8d1ZmpBCt155HkKcYUHBpZHzU7aU210Wt10kKBBS7HL47AhV6PJf/RbwmfaVHU7zO2WVKQ0imwXucJNQPPg0Vy4hbtHHLlx6W7cmicjznqF2UixHYtuu4uY2U3UjtFpx2kSSfa5Td4KCnaG9HT29H4cxywnJXnSYZptsTSnFdoCHP5R04Mei8pW9PIO8t32kU4lxRghNIl26kGcV+dySsxkp98g0ve/HOx27ll336kWX3x3HZcGljM9MIPHkj4e6d7FuznHGc5L+tB2XowT2oMofh1dbyWg/5kkp2Ey77ixYUM/ORULMRSEcQxrseKERoksxaTEpe/E434dISTS8uG0nIHsmkXfJ87cqMlH415KXbnkewoIekNwxLPFdFK0J1toSbWzW0RZk2uxqexI4TW02yDu0tmeq7M987IvgWTPNAiWQ5EpmRGzKU1CkSXIszVC0iBHuvBrLkAgpYONxOmZLOkQwyaqWTTpNpsCkrdzDZwBIkow3PQJmpSUOhbT7fQU6B26tC2YnudH0SraEBVtCK81rH0rRo5W1sl+j05l0ubMzhTP5Q99zNMHl0iatr3B9cZSCjwlPKD7+EXru/xPwfH2IZCds9O9bme9hEE9XjZgUEtCrkSK4OhOSjEpsRHYo7A6j2bbkxElshSTDInb9RYe12YATGsmYv9ZIA9bZS5uT/IPFFMVmNFvjDwpJZ1mO23JNg5ZEd70J/hLsU4qk0tII6uZrw2NZgOafUfGyUgg1TMN8lWGgbFSI0GXkgrbYoZtUmZb/W56C6jXDapO3Y0oi0ypVAknGm/muJmWjDM9ZVOWtKn3DL3n388WaOyp2cC/xhaR48rl5pyl5Na/xq/Kco+/sRUgzgW42IWHtzBoJMAzJOUyTGaNnVVLMSlw5OjiqhxlnBwWSmSNJ2PzjBw28oTtrmgRNNeiufYDYLcthfbTkEKAgFUdKW52SqgKzkT0NPxtyWZqEg1s16P8qVhyINj3ku4VYEPp4TmMRmc4RYf7Vwyn7TvWvqWkxLGZaZlUWmZ/aelLIco6EGURPMWdVE/GQcxPQq4//2XsjRXI3SUsi6b4k/f4KR2AzEX210qdfR2b+UH9AnLdBVxTcCbBmhf54bSSY/Y8BPDt9AKLsV1V6KUvIXxNeHkDQ9SQ1M5EiqO4uiex/hqJNpQTdCsIlfF9yqJElmJSIIjjc/0dzdOClBp209nI6GwApiVMPt+Vy5zQaegifcnWxQ7yvKzl/6vQemKRBn/r9/VkFM9xJAHHwSclXilxS9mTiQocARKBA6SEICo0urXeuUZMiLTQm+xISa50mGGZVFsmwb5PDH8SUdmKNq0dcuPKODFJ0ebXY+8rpMiEyoTNQd/wmui9uTof9e7myf0GIVeYi4vPQa/5X35fVE5dYAgxgWYIu+Y9iLwtaEUbMGQduv1nktpyLK1qhGelmEw4owx8H822JyNKZCkmHE104nc9jyaiSNuD3XARMlGKZjl8oVXjzNASfOH02HlN8Tr+yD6emuFisMtXk5JZpsl0y6LAdvCPwaupA0Q0jXZNo13XadANWjVt0rhRQo7NDMuiyuqfbiEFHDBc7DVcvOeK9ZOluopjILwWYk4TcnsZp3elqPHqwxb4LV6HG2fv4snd8wm5clmcu5B4w9854KtmTXnpEPagIdsXEy8twmO/hk47XmctpqwlqS0HMbTej4rJiYMYVU9g1Yt4eCiRNZ4YTnqaIr39xpQe7aPRRkD7K0IkkGYIs+ESsMLMjZncb1ZSkpdO7NlpdvDXxHa+MwMwBvaa06RkTspkpehEJvo8BIREBBJogWR67jMRHhPcPUHdjujJR5Wey6QLJ+ZBdnvS85gbzdHIcxzyHAcsC0iSEIIGXafO0Kk3DLq1wd/uhv3XD2msH0me41BhWVRaJvlOn55JmoNW2oFW2Ya7vJ1FumQRYKu3zxMGbW4DsR1l5FmS6rjN3sAgVtrjXCYtLpN/mbmXx2uWMCNnEbs6NyBjW7h5b5RfzZhByujf9A/m1nZvL0XyPpz8jYj8d3BxECPZRMp7KrY2Y1xfMo41usFkRI62jVfuwimLElmKCUMXjfj1vyOEiUwWYNVfCtLHB5tSfNS/iIAvhOWYvNO1lS/OiBH16AMeBpqUzE2ZLEqm8EuJxIPwJXHNaUAv7ETLjY2qe7SUIGNunE4/TocfuzWHeF0+XimZYVnM6BFdEU2jXtepMwwaDR1zjB9AQkpKbJsKy6LiSFegcNBKOtEqWtGmdSBc9tF3pJj0CLfNpqCL5V0mS7tS7Pd7cUZwPW33dvOXnGau6CritMLL+VvdEwjnAB/bF+Wlwmq25Q0lJ5aG03Y6dFeil7yE8HTgsd7AFvtIGcuRWmj4J6iYUFTG9+yiRJZiQjBELT79JYSwceKl2A0Xg3TzpXo4O/cMDM1Fl9nBT9nMf89zM1jM1TTTYlU8kXEJdgtB/tI9GNVNiDEK5hYCRCCFFkhBWQcAT/zlEgptm3LLpsy2KLQdwk56mm+aOECzrlNv6DTpOq36yESXx3Eos20qLJNpltUveN0C6g2DGt3g/MvWIjwq3cJUYlvAxSndFiFbMqfbYkdwCEMRDMLPCg5yQTSfIk8JuSXn0tH4Oo5s5ezmCGe2VfKbqooBVq1BSRZiH3xfOlar8G102YTXfBZLn4+pnwJCPUpOFFRMVnZRd8Z4osueManG0BQ8Bd4iDPbhYy1CSJxYBVbzBfgswXfacpiTPw+A+lgNnyk8yP4jkolKkbbqLIsnWZhMpxsQ/iTu+YcIjKG4OhafuOL5/nVK6ThNIezGME5jGC3qo8S2KbF7LUoSEUxQFw/SrYl0ML0miAkNDYlHpievk577paTciEPiiHQTHhOtrAOtvB13SSezDYfZ4362iongY2e/hLO7CGdjFad1WewOGNiaOEpi0qNf803uJL/Jq+NjbRUsyj2Nr0/v4Ny3D2E7rbjtvXxsXxs7cip4oax4CLXSkZElON3V6IWvowVqcNlbMRI1mMFTcfTyY259orkAs0HGzairZKRTFSWyFFnFxQ68rEMIsKOzsFvOYX6Xxf3WTIpC6aDcTZ2buXNWFGeQ2Cuv43BBNE6xnW6UXHPqcC85mBVxdTSE20af3o4+vR0AJ+rBaQzjNIVw2oLIbi8y6qMMu3fE6ONjpQWWyImjlbejlXcgCqIqeP0kQsxsgZ2l+GMeFnRbbM4ZmTXr1/mHeG9XMdNSPub75/Cjqz18+O9hgpFDOLKDOZ0dzOuazh/LK2gMHmPspl6sHOyGi3ECB9ALX0e4unAnX8HWSrHcS5HaUQbSVEwKHEY5dqEKfB8WSmQpsoTEwzt4RDrJqN25ALttJWe1m/yrfgo53lxSTpK/xN7m0XmDJxjLtW0uisYJOpKUgNDq7RjT2rN8HsdHCybRgk0wqwkAmXDhdPr42xun43ccAlLidxz8jsQRkBSChBAke6a4pnH+6g2IUFwNt3ESIzSJdkodzvpqlnSa7AgYmPrwH3BxzeH/K9/H5w7M55/qZ7Amv5GnLimi4vVS3nvoAI48hCNreV9dC1Gjgv9bOQ3LOF4iVIHsnoEVm4aWtxEtbwu604CWeBZbn4HlOgW0wMhOXDGuyFH2LpRKZA0LJbLGEaHLcbCwjMH+sm30kQ4e+SZu9gJgdSzF7jyN97eY3OI5FZ8RoNvq5Lv6u/xl3uAZ2ctSFhdE47glaME4+eduheAgGdMnIcJrontNLnnvC0PeRsU9KABEVSvsKMXT5ePG4D7+PVHd88VQNj68+Iy3jWs8UeYmg9xUX8X3q3ZxaLXFT5jGxesCzN7fiCMjBMxd3Ly3mf2BaTxbMZR0Dy7sjjOwo3MxCt5E89dg2PvQrQM4XXOR5TNBG/mYnScLdhZfphw5SkvWFAhZySaqJVeML9LCJ1/CzV6kFJitZ2F3LuXjdRa3+ZbhMwJ0pFr5gv9d/jJ9cIE1O2FySVdaYOlFEfwXv4uWk8jyiSgU2UcI0JbUAiB3llCYHNnD2BHwg+L9ALy3uZzK+GG34PNn5PKr91WTCs4A3Diyg8roFj65fTOntgzRUmyFsRovway7EidehhAOemg7evRZtMRGcNT9qjg5USJLMW4ImcAv/4pBHRIdq+UinO55fKbW4brQGbg1D82Jeu7M3876okEElpScHktydncCDdjjNvCftwVN9aRTnERoZRFERSsgOLsthTbCBLtvBTp5JbcZHY07D85Bdw5bJBJeg19dVcgzF85HaBWAhi0bWdG8kVt37GRaV/eQjiGTJVgNV2DWX4GTKEHgoKX29Iitd8E5ymDqiqzR27twNJNi6Ch34TiiaRLtJBoXrl/qJhnFZ72ARhfS9pBqvRiZKubhQxorc5chhOBQ7AC3VtTS4TM40ocppOTm4H6stiIA3AsPctrCGhX4rTgp0U6rwW4KkZd0saTTYmNenyD4IfTa671vHis4yJmRApZ35fOlvafw8OzNWJrMfN9Q4ubx64s5dUeAMze2Y9uNSKeGK2sbsPRp/L66gk7P8QdZl6kyrMb3IDx16LlvoXmbEaldiMQ+nK55aJUVw3YjTpZbf1xa9Cz2LlTuwuyiJKlizNFkGz7rOTS6cAiQar4SESvkh7UBVuWejhCCPV07ubH6UI/A6o8uJRd2JrAOFoFw8J65E+8iJbAUJy/CY6GddhCAUyMWeamRPZRrPQm+OH07KeFwTnsxX9m1BJcz8DHwzrwAP79uOrUzZqOJPMDEsPdz/e43+fj23VQMybIlkIlpWA1XYTZegpMsRGgWengLRP4Xut8Cu2tE56FQnCgokaUYU3SnHp/1VzQS2OQSNy4hEAvy781FnBI+BYB3I5v46JxWUq6BPZjcjuTSSJwK0wbdxn/ONtzVzdk+DYVi0iGmt3PAr6EBZ7ekECN0G67NaeezFdtICpuVHYV8a+vpVMQHT92wZnWYxz80gw7vXIQIAkk0+wBXHFzHbdt2cGrzUGK2BDJegVX/XszGS3ESpQgkInUAOp+H6OtgtY3oXBTDp3fswtFMiqGj3IXjiKbbaPowhzg5UU2xUmI078EIvYUQEjtZhtl2IdVdGt+MVlIcLMeRDi93vcUXFtsMpu+9jsMNThOOFQSXhf+crRhF6k1XoYC0y2/mBW9jr1lIYcpgcZfFptxjNOGDuRF7mpd1oXburdrKwwcXsKA7zI/ePZNfVO3mj6U1A7dzCf7wwSBGcjZXvdxJQVMHjmzDcWpZ0VTL6pZi9gaLeHZ6Eeha/zasX3MmkMnpOE3TEe4m9NC76P6DYNanJyMXzTsD4ZmGEMdLIXHicazxDYWm3IVTFWXJUoweGcdtvogrvCEtsGKzMFsvYVkrfC8+l2JfOaaT4j9jb/CFRYOLzqDt8J72OE5HEOFNEbhgkxJYCsURCJ+JdmoNAKe1W4RH6DYEeDsY4Z/mvMUbwXY8Uue2/fP4+tZllCS8g5a3PBp/vDiXf7+ukv2z56DrJQDYThNVnVv45LaNfGTHQYLJ46dWkalirJaLSdV9ADs6Gyk1sDpwohux257D7t6KtGMjPjeFYrKgRJZiVGh2Pd7k/6I7jUhHx2w/C7P9HN7bYPNVuYRcdwFxq5uf2m/yvQWDX245lsMV7XFCtkQEEgQu3ISepxpYhWIwRFUrtT4NXcJZzeaI3YYAza4U91Rt4XsztxHXLE7tzOMnG1fxnoZpR4/w1jVeWJHD49dP461l89Fc0wADR3YQSO3mw7ve5BNbdzOrI3rc40srD6vtXFKHrkPzL0gHw8sUMr4bu/157M43cVLNyFGco6I/vZas0UyKoaPcheOIpkv0YfcuHH1jkpX2SDro5mYMcwcAjplHquN8pJXLJw5Z/IN/GW7dS6fZziP+zbxcPniPJI8j+VCqFcfxoYVi6RQN/hMjyahCMREIAVUXbMRes5DipM7iiMW7+cduyo85bqCA3wdbeHVOlPtq53Jad5hP7T2FRV25fH/2VsxjuLI2L/CxeYGP4uZcLn41iqu7BSm7Ec4BLq6t4bJDJWzNLeTvFUXHOSsvsZ0rgTPRvDXowW3o3npkqgGZasAxw7jzyjC80xD61Etuag83rGQUKHdhdlEiSzFshN2BkVqH5nQAYHXPx+w8AzD4wn7JheEz0IVBS6KBfy3ew668wQWWLiUXt8dxLB8ikMB//mY0n5m9E1EoTlCEP4W29CDOumpOa7Op92k0+0bnmKj3JPjUzHe5tmUat9VXc2FzOdPiAR6cv5E2z7HzWzUVufmP9+djJHO5/JUuiho7sZ0WbFnPvPZ6FnTk0+ot5A/VpaSMYz12NJxEFU6iCsvoSIst/240VwQrGsGKbkdzF6F7p6N7S6dk7JZiaqFElmLoSBvd3IZubkcgkbhItZ2Dk6yiMG7ztZYws3PnAlDbfYDbZ9TS5h/8EhNScl5HgiLLQbhN/OduVQJrhAip45NhjuX9z0YCwanX60iSEF3YYnJaVkVlK6IhhFZTwLmNJv9T4R7R2IZ9kQJ+V3SIXb4o/3ZwPvOiYb77zgoeWvAOO3Iix93e8mj86aIwEObMjXmcsqUbRzbgyDby4m3cvK0WUy/mzxVl1OUc2yIlrVysjlVYkWXo/n14irfhmO04qWacVDNml4HuKU6LLnfhlLRwjQfKkpVdlMgaR3Rdomcxydx4ICUgHYS5H617B0JPx0rZiSpSXSvB8fPhuhTXuRYSyskFYFvXNm5f0NaTomEQN4WU3BLci9lUCrqN7+xt6KF41s5pKuGRIZZaH8YrchDHSiSWBRfy1IuakdiOzUHeYrf+8pCSfmYTIUA7/SB2a5CcmIePWPU8oZcezjw6yOUwpFxzQvJ2qINb5mzkkX0LmZkI8LVNy3ls9lb+VlI3hHqlf6f1p/tZf7qfaXUhzlvbjR5vQcoYhrWfq/fVoLtKWJ9fzBtl+cfZoxs7Po/Y/nkIvRPdvwfNvxvNiGIn6rATdZiAY4bx5uZieAox3PkIbfiPt2wLCMeKYyUbcRLZG8VCMroXosl1F0x+lMhSHB3pIFIH0ZLbEDIGOji2H7PrTJxkNW7T4tFaL4tCy9CERsyK8rS5ie8vEcDRzfhLuk3MhlJA4lu5U/UiHClSMNu6iHxvKXklOZMnJfYUQUowEzbu5lVgw27jpYmu0gCEy0ZfsRf7hfnImgJmlTjsCY2NC63ek+CTczbyxQPzOKezkLt3LWZmdw5PzNiJpQ39UXuo3MN//IMHbyzE5S/ECLV24Mh2bLOOpY11LG8qos5fwNPVJVjGsesu7RBW11LoOi2dBsJTi+atQ7ha0VwRUt0RUt0HAIHuzsXwFGB4CtFdYYSY+H5e0rGwzXbsZBtWsgnHSrd9Tsp1nC3HDmXJyi5KZCkGIi2EWYtIbkc46czOUngxI6dix+cBOhc3pvikM5uCcLobd033Pr407RC78o59Sc2KmSzrSrsFvafvxTVdJSEcKW78FIpZhAqCuLzHeThlqU5TjfTvmkdl4+nsk69PStehKOhGO6UOZ8s0VjTZNHk1utxj8yCM6zZfrN7KJ9umcX3NLN5fN4NFkTy+Mf9d6nzD6wGc8Bv88T0hsIOcs66AmXui2HYjtmympLuZW7bUkjCKeXpGGS0Bz3H2JpCpEqxUCXQtA5FE89QTrNiNlWzBsePYqXbsVDvJrt0gjB7BlRZdmu4/tuV3jHDsJI4ZwUq1YadaccxOjrwbdXc+hp4HvD3u9VFkHyWyxhGXbqMf0Wtk0r4FSAesFkjVIBN1CM3qWe3F7F6MFZsPwiA3afFvdT4WhpaiC4OUneCl2Lt8ZaEFxwxohdtnrSP+ynxAwz2/Fvechiyc2NTFkF40NHRjkl5TUwSXV0cXOl6ZQ7donejqDIqYX49oysHVHOLcRotnKw2cviLiOK7OY15BAn5SWMs7rjifOzCP2d1hvvf2ar47fRevV+0fvgXV0Hh1VYBXVwWYtTeXFW9GIdmMlFE8ZpR/2HUQTStmR24+z1cUphOcwnHeFDzYqRlE9sxIV1nvQvMcQnfXoXnqEVoKK9GIlWhM78px41h5SDMXx8qlcLaFbgQwNAOEPiwBJqVMizorhm3GiNRqCCOC5mpD6APDIBwriJMqxUmW4SSmg/TiJBLAfw/5mKNBWbKyixJZJzPSBrMJzLp0xmWZtjAJDRwrBys+Dys+H6QLzXL4bI3DWf4F5IRzAWiI1/LNvH28PsfF8VKuFSdt4mvngdRwVTXhWXJgnE/uZECkg2xUmzeupJ+3gsn8QwsB2hn7iD17KoUJydJmmw3FY9u8vxZu5eb56/nCgQUsjeby+YPzeTEe4sdzthA3RpaCYM9MD3tmesiJ5HLJC134Ix04MoLj1DGnrY657T6EyKfJF+TF8gKagoMnSj0Saedgx+Zjx+YDDsLViu6pQ3PXobmbEFoK3d0I7rTo6jxi5C4hDISmI4QBQusRXRrgIKUDMj2X0kE6Jn0VoBHsUw8J0grjpIrTwipVCnaQiUSJrOyiRNY4Ip0kcDyzdxaREpxo2mJlNoPZCPQJuBRucJWTaDgFxywGBG7T4nO1cIZvDqFwOkA1bnXzUmIzXz3FBuP4sQR5ps3FbQmQOkZZG94zd6vBnhWKMUb4TdaWGlxQZ7Gw3aHJ51CTM7ZxSC3uFPfMfocbGiv5WP0MzmsuZ25XLt+Z/y47Qh0j3m9XWOe/3pcLdojV6+PM3BnHcRqRMo6Uhyjshg/uEugin6Sew65wDq+U5x83hiuNhjSLsMwi4FTASluajA6EqwPN6MAVbMGx4vSKJSktpG0Bx05dcRiBbvjRDT+xlhKkFcIxc5FWPsjsxVspJh9KZI0jMvIcdjwHx8rHMfNxrHyC1RrogRHHAzjDCK6RTgrsKNLqINXahe5uRGiJ/vuz/dipKuxkFY5ZQq9FKmjafLbWxVL/KeSEwwCk7AQ7unfzSHU7B3IN0m/2x65QWdLm8kg3SAO9sBPf6h2IYQTNKhSKoXPJ6tex35mO3FXKWQ0Wf/Ya/eKzjpmUNFPo2GWkBr8uP8DGUDtf3HcKZQk/j2xcwX9V7uF3VbuHFBSvHe0YGryxyscbq3x4YyFWrktSeiiFSHXiyE5s2YphtbKgFRa0utH1PLqMIG8Xh3m3IHTYtXhMDKRTgJ0qgJ4Qu1QHpNsyG7QUQpggTISWAhwQTnqOnv4BpI5EB6mD40Y6fga15h/DABpImlzZcYjixjgxy+ILQ6j5WKAsWdlFiaxxREoQegxdj6F7agEw2wF00L0ILT2h+Xrm7nQPGGGkywg9baruc5ems7n3ipv0JJ0UOAlwEkg7irSjYHeDPByka3h7t9dxzCIcswQ7NR3HKiLTClgOHz1kcrZTQIVvOr5wAICkHWdr9y6+WR3pEVdDu2xmxizObk8BBnphBP852xDGiZ3SQjG2rH3pDT50+Y1srVtPODc00dWZEmiLD2G3BXC35nDuIYtnqwxsbewfjFuCnXx8wXo+VTObS9tK+dDB2ZzeVsR35r9LbeD4Q+ocj4Tf4IXzDBwZBPKZvSfBkk0p/F1xbLsdSGHbjfjtRs6qgbNrAwiRS4svwOb8EFsKgkMUXb0IwADHyLw6junroO1wRmOEhW2dBM1ubNkKmNiANLMnXKQUxxyseijbK4aOElnjSLLlOuxgHGG0oRmtaK42NFcbYIPdjbS7x7/Xl+ZF6CGS7RU4ZgmOWZgWbz1Mj5p8pNFgvp5PqbcUX+BwvEDc6mZzbBcPz+miKTh0cYWULIlaLOtMx3gZFS34VuxEDHuIIcVUZ/nKpby991VC4RwAfvfkf3H/Zx5iW/2GCa7ZiYvQJPrKvUSfPZX8JJx7yObF6Xr/QPgxotuweKR6O2+X1vPJnQuZFQ3z7Q2reXLmTv40bT9j+TzePcvL7lleIISRLGL5OwmqDqRwxWLYsg0pu5Gym/xuOLcbzq1xo4swtual3eNjTzjApsIcEu7sPPZCCZPTmzqY0RUjaMZwZDtSpj0JvRFsQgTAlUtNxcSnl8gWjzzyCPfddx+f/vSn+e53vwukOw888MAD/OxnP6O9vZ0VK1bwwx/+kIULF2a2SyaT3HvvvfzmN78hHo9z0UUX8aMf/Yjp06dnyrS3t/OpT32K//mf/wHg6quv5gc/+AG5ubnZPMV+KJE1jvy+aRFWc4JmM8Je0c3zuTab8wyEHkVoMYTWjdBjPcuxtGlaWAgsEHZ6Wdj0f5/qXU7boSUCHA/S8eM4PqQdwrFDSDuMY4eA/vEAZXGLKzpSLE4EqXAXUegpQQsfFl2mk+RQrJa3tSZ+Ms8m6tUZurhKZ3JfFUkxrzvdjLjn1+JZckDFYCkGxe12U1x6vHHtFMNF+EyC52zHfnkO07t1zqq3eXWaQB7lRjze/Xk8N+OaQAfrF67j3v3zWREp4OY9C1jWVMrPFr5No290iYb1QY4tfbBupZd1K9OiKxgp4owNCUrqU5CK4cgIkMKWzWBDXgyWx2B5vUATOQjhAc3AdukkvTptlo8Or4ukpmFrAktomDqkNA1b00j1rAPQpYMmQUeiOZK8pEW1HiHUaeNJWAjLRMoEjuyit70+3C3AQNfyML0+9le5eW2pD2lo2LGhxn6NHgcxqmSko9l23bp1/OxnP2PJkiX91n/jG9/g29/+Nk888QRz587lwQcf5JJLLmHHjh3k5KRfwO666y6efvppfvvb31JQUMA999zDVVddxYYNG9D19DPshhtuoLa2lmeffRaAT3ziE9x44408/fTTI67zaFEiaxzxGQFyPMWUkw63/IAD3Y1dRFLtRK0YEZmghRT73SabA7A1x8BxDf2N5lhviflxi+XtDrOTFjMsL6VGiDx3HiFXHsItoM9wgp1mB/WJBt52tfGr2Q4RX6/oGl5SQ8ORXNCWZHrCASHxLt2r0jRMcVbMv4CP3/lRbrnzpsy6S1ZczeXvvZh7vvgppvnn8s0fPshfn32BF55/hdLyEr7yyOe49KqLgP7uwi3vbuPuWz8HwDR/enimu++7k3u++Kmsn9dUQBRG0VbtwXl1NjM6NSwNXi9jiGnfh0+bO8V9c97lquZybquZzWldeXz7zXP59awd/GWMrVpHEg3r/P3CABAA8nDHSzllm0lFjUmgy0JYcWwnCqRwZGdv2nOwwBOHMqBsDHIiHxkMIYQXTeRger3UTnfz5mk+EsfJaTfeTFRMVjQa5cMf/jA///nPefDBBzPrpZR897vf5Qtf+ALXXHMNAL/85S8pKSnhP/7jP7j11luJRCI8/vjjPPnkk1x88cUAPPXUU1RUVPD8889z2WWXsW3bNp599llef/11VqxYAcDPf/5zVq1axY4dO5g3b96Iz3k0KJE1jjyVep1lyXxKtDB57jxyXLkEjBwCRs7Awg7IDokpU1hOCtMxMR0TS1o40saRDjYOjpR9lh0cHAx03JoLt+bGp/vwGwE8ui9txBqkY0vMitKeaqPWauUvhVGem230hGUdO1P7sfDZkoubExSaEktAzlnbcU1TiUYV8O2HH+OLD32GLz78WX7x4ye58//cyxvb/05efm6/cstXLuWBb36BR//te7y08X8BCAT9E1DjqYNW2gkr9mK9PpvZHRJTgw0ljJvQQsCfiuvYEGrj3v3zOa0rj5t3LWR1Uxk/nP8u9f7u8TnuEaR8Om8vNXh7aZ/xDG2HqlqLGftNwhEbT8LBSDkIx0I6KSQpetWXlL0qrHc+QD71mRtoIoDQPNiGi4Rfoz3XYE+1i4PlroFxYVMkaqKzs7PfZ4/Hg8dz9N70d9xxB1deeSUXX3xxP5G1b98+GhoauPTSS/vt67zzzmPt2rXceuutbNiwAdM0+5UpLy9n0aJFrF27lssuu4zXXnuNcDicEVgAK1euJBwOs3btWiWypiK/WqDxlC8BJIBGpkUsrqzVmJvwkSu8BDQfAd2Pzwjg6+lx6BYe3NrYpH2wHJOYHaXbjNJiRdhjdPHXEpO3yvr+7UcZX3CIfHrV89gRH7GXTkGaXoQnReicbRgFow98VUwNrv3INbz/2qsA+NwDd/PvP36Sjevf5YJLz+1Xzu12kxNKj8GoXIhjhza9A2P5Ppz11Sxok5gGbC4+evnRug6FkDT6Y3xmwVtc2TSNWw7OZkEkn2+9eQ6/nL6X/yyrIRQcXrb4EXFkPTWorTaorU63f8OxyEgpEJaTtsYdJ5i+737TS0dkeO9z2N4g8mzGko9V4HtFRUW/9V/5yle4//77B93mt7/9LW+99Rbr1q0b8F1DQ9rbUVJS0m99SUkJBw4cyJRxu93k5eUNKNO7fUNDA8XFAy/s4uLiTJmJ4IQQWfv37+ff/u3f+Nvf/kZDQwPl5eV85CMf4Qtf+AJu92G/18GDB7njjjv429/+hs/n44YbbuDRRx/tV2bTpk3ceeedvPnmm+Tn53PrrbfypS99qV9KhRdffJG7776bLVu2UF5ezmc+8xluu+22UZ/HobDBz8KQzr2SBA6Pah9M2MzodCiPQUFKkGdq5Fg6AVvHhcCFho7AkBp6z7Iu0suWdEhgEsOixUixL2DxTp5kV64GxpENwtj+5VZTiNgrC8A00IJx/OdtRQsmjr+h4qRhweLDb5D+gJ9gToCW5smZOX2qos1oBUvH2VjJkiaJpcH2wvF9sksBfyo5xJu5rfzLvvksjxTwiZo5XNhayi8WvMPOcMe4Hn+skQPa0hOTsXIX1tTUEAod7hF8NCtWTU0Nn/70p1mzZg1e79GTyR6Z1khKedxUR0eWGaz8UPYznpwQImv79u04jsNPf/pTZs+ezebNm7nlllvo7u7m0UcfBcC2ba688kqKiop45ZVXaG1t5aMf/ShSSn7wgx8AafPmJZdcwgUXXMC6devYuXMnN910E4FAgHvuuQdImy7f8573cMstt/DUU0/x6quvcvvtt1NUVMQHP/jBcTvHqFdns1dnc7+1ErCOm7dmINnx+Vd3W8ReXAiOhl7Qie+cbWie7I0mr5h4NE30uFYOY1n9rwHXEcMtCSFwhpPwTTEmaLObeLuuilObJKc3pH//8RZaAE2eBJ+ft5HLmsv4xME5zI7l8NCGs/lr2UF+PWsbXW5z3OugOMxYWbJCoVA/kXU0NmzYQFNTE8uWLcuss22bl156iccee4wdO3YAaUtUWVlZpkxTU1PGulVaWkoqlaK9vb2fNaupqYnVq1dnyjQ2Ng44fnNz8wArWTY5IUTW5ZdfzuWXX575PHPmTHbs2MGPf/zjjMhas2YNW7dupaamhvLycgC+9a1vcdNNN/HQQw8RCoX49a9/TSKR4IknnsDj8bBo0SJ27tzJt7/9be6++26EEPzkJz+hsrIy07V0wYIFrF+/nkcffXT4IkvIgQJpsvayG069pOS20HaSB2cAGsb0FnwrdqkcWCchBYX5NDUcHpOkqzPKwf21I96f2+3CttV1NF6cfs46nC3lyO3lnN4g0YBtRWJILsBjf3+cAwt4rrSONwuaufnAHC5rLuei+krObC7lt7O38bfyg0d1mY1X8su+vRaPK/mPcv6D1W2w3pBwlPxSvWXF1L3mL7roIjZt2tRv3cc+9jHmz5/PZz/7WWbOnElpaSnPPfccS5cuBSCVSvHiiy/y9a9/HYBly5bhcrl47rnnuPbaawGor69n8+bNfOMb3wBg1apVRCIR3nzzTc4880wA3njjDSKRSEaITQQnrP0zEomQn5+f+fzaa6+xaNGijMACuOyyy0gmk2zYsCFT5rzzzutn1rzsssuoq6tj//79mTJ9g+t6y6xfvx7THPyNK5lM0tnZ2W+aquiO5NwWk+SmGQC45x5KZ3FXAuuk5KzzV/Kf//HfvPHqOrZv2cldt3wm0516JEyvmkZ3tJuX/76WtpY24rHRdf9X9EcI0BbWoZ1yCIDTGiQLm7JnVYy4TL49eyv/snAde/1d5Fhubtl+Kg+uO4dTW4umTFD4ZEb2uAtHOg3XCpaTk8OiRYv6TYFAgIKCAhYtWoQQgrvuuouHH36YP/zhD2zevJmbbroJv9/PDTfcAEA4HObmm2/mnnvu4a9//Stvv/02H/nIR1i8eHGmt+GCBQu4/PLLueWWW3j99dd5/fXXueWWW7jqqqsmLOgdTlCRtWfPHn7wgx/0i5NqaGgYYBLMy8vD7Xb3C4wbLLiu97tjlbEsi5aWlkHr88gjjxAOhzPTkQGBU4WA5XBFQ5JZ3TYIB++yPXiX7lc5sE5i7rz3NlacvZyPfvBWbvzALVz23oupqh759X/GytO58eP/yCf/6S4WV67kR9/++RjWVgE9QuuUet4pSd+4Sxolixpk73ASWWFrKMIdS97kl3M2E9NNZnXl8vmNK3lgw1ksaitUYmsckfQMXD3SaRzq9JnPfIa77rqL22+/neXLl3Po0CHWrFmTyZEF8J3vfIf3v//9XHvttZx11ln4/X6efvrpfi91v/71r1m8eDGXXnopl156KUuWLOHJJ58chxoPnQl1F95///088MADxyyzbt06li9fnvlcV1fH5Zdfzoc+9CE+/vGP9ys7lKC3wYLrjlw/lDJ9+fznP8/dd9+d+dzZ2ZkWWhpjI2OHHZM1xkjJvC6b1ZEEWAbCbeJbvQOjJHL8bRVTmpxQkJ88+b1+6679yDWZ5UOxnQO26ZvNffW5KwaU+dr3H+Br3z92u6AYPcvOWYezoxRn03QWNcHi/Hq0hYf4zZ7lx9xutK7FXqSQ/Laonr+EW/jQoWquapzOvEg+X3x7FdtyW/h/s3awPa/16OMcHofRuhmHsn2va3BINewpO9h+h/qbTRVeeOGFfp+FENx///1H7Z0I4PV6+cEPfpCJsR6M/Px8nnrqqTGq5dgwoSLrzjvv5Prrrz9mmRkzZmSW6+rquOCCC1i1ahU/+9nP+pUrLS3ljTfe6Leuvb0d0zT7Bc8d2ZWzqakJ4LhlDMOgoKBg0DoeLz/IiUzQdDirxaI84QBGOsB95U60YPYyFCsUivFBm9cAQuK8W4HcXobjCPCR1djRiNvk/6veyX9O2891tdW8p3E6CzoK+fKGQvbldPD38oOsLa0l5lKdasYCB9FvPNyRbK8YOhMqsgoLCyksLBxS2UOHDnHBBRewbNkyfvGLX6Bp/U1Eq1at4qGHHqK+vj7TQ2HNmjV4PJ5Mr4ZVq1Zx3333kUqlMmkd1qxZQ3l5eUbMrVq1akAK/jVr1rB8+XJcrkEye05VpGRBl82yNguXBEtA4LS9uGfXI05IJ7NCoRgMbW4jaBJnYyVyZymnFcHGcrLeSafdneInM3fw+2n7+afGCs4/VEl1Vy7VO3L5yK6FvFlczwvlB9iW15rVvFJTDTVAdHY5IXoX1tXVcf7551NZWcmjjz5Kc/Ph3kylpaUAXHrppZxyyinceOONfPOb36StrY17772XW265JdPN9IYbbuCBBx7gpptu4r777mPXrl08/PDDfPnLX864Am+77TYee+wx7r77bm655RZee+01Hn/8cX7zm98Mv+KD9C6ctPFLvfWUktsr3iK5uRK7Nf276UURgmfsRstR+a8UiqmINrspbdF6u4q5zTAv1Mj/zSnOCK3jugiHcowhuhnbfXG+N2Mnv5i2j/Obyrm0cRozYjmc3TCdsxum0+CJ8Xp5LWtLazkUPPpYOEfr5dfL8cRC3/oOx/V4vLJH9mrUHUHQOole4E8yTgiRtWbNGnbv3s3u3bv7jbgNh+OldF3nmWee4fbbb+ess87ql4y0l3A4zHPPPccdd9zB8uXLycvL4+677+4XT1VdXc2f//xn/uVf/oUf/vCHlJeX8/3vf39cc2RNCqSkMuawuN0mtndRep1h412yH9fshskrDhUKxZigzWpOW7Q2VCH3lHB6oeSt6UxY2plOl8n/TDvA/5QfYG40zCWN0zivuYzSpJ/375vL+/fNpTbQyVtFjbxd1MCucNsJZeEKmi4uOlTJZYdmsNlVz9+ydFxHCsQEjF14siLkkZkEFaOms7OTcDjM9B9/Bc3XP8PtZBMrQkpmdDss6bDIS/VcCrqNe2Yj7vmH0Pypia3gMXDkxPgt7Sw8dYZybn6nkBXyZsorS3B5jp02Qd3kI8dK2hw60Mha8QTdWgvaFP81nf0FOOtnAIK9BZINFSC07FmyjoXH1jizrZiL24o5taUEo8990uVKsrGwibeK6tlY2ERKt4+5r+G4vcbKkqU7gkXthZzVWM7qpnLcTvq+rZGtrP7GB4hEIkNK8DkSep9LC3/3r+j+kccQ27EkW6775rjWdSpxQliyTlT8jkPyOI3TkBjDZ7qQkjsWvorT5cWsKcSqKUQme0zVLgv37Hrcc+vRvCoLs0JxMqLNaE1btN6sZmarYFawhd/n52faobEQSyMpqwmwNJu1JfWsLaknYBmc3lbIGa3FLGsvIsf0cE59BefUVxDTLdYW1fO3kkPUFjcMbuEahjtwOAlGj/x9hIT57QWc2TCdlc2lhM3DAmdvMMIz0/fxYnD/MY+vOHFRImscuabGpCtH52BQ40BAI+IeX8uLy5H4LYnfomcu8dv9P/tsiO45o992wpPCPace95x6hPvYb38KhWLqo1W2pWO03pyJPFDIGZ2S9TPkpHLHdRsWLxc38HJxA7ojWNCZxxmtRaxqKaUk6ePihgoubqig2dvNK+U1vF5aS10gOv7uTwn5SS+ntBeysK2QJa3F5KUOezQiriSvFTXwUskhdoTbQYDdnb1kzirwPbsokTWOOEBhSlLYZnN6m027S3AgqFHr1+g2BAkd5FD9h1LidiBoSYKm7Jkf/hywJJ6h3qdCIrwpjJIIrspm9JIO1WNQoVD0Q6toB7EH542ZVLZrCGDdDDkphwazNcnm3DY257bxxMwdLIjkcWFTOWc1l1GUCPCBvfP5wN75NPm6eaewkX2hDlp8MZp9Mdo8cZwRnpOQUBT3M6MrTHVXmKquMNVduYRT/d1x3UaK14saeaW4js25rThj4eEYIUpkZRclssaR/6x0Ue0YVEVtyuKSPFOS125zWvtha1FSg4SeFlx2n2vXcMDlgEvK9NwZWl7TpAYxQxDTe+a9U5/PHz/j70pUKRSK46JN7wBtL9Zrs6hoFwgJ62dOLovWkUgBW3Pb2ZbXxs9nb+W8SD5n1VewsLWI4niAS2pm9itvC4c2T4I2b5ykbpPSeiY9PUlAkwJdCoKmm5yUm5DpISflJmi60QZRnQ6SfaEOtuS1sCW/ha15LcQmKIb0SFTge3ZRImscuWX5S3iD6Z/YSemYdfmYtYVYLTk9cVACjwMeRxIeYgiU8KTQAkm0QCI99yfQez/7kwjX4OasbARrKxSKqYdW3oF79S6s12YzvUND2ytYN9Ohr2YYSmyVdpwmaKRZz48VI2YZNn8taOavBc14bJ0lHfmc2lZEeSxAUcJHccKHS+oUJfwUJfwjOr4pbA4Eu9ifE2FvToR9OZ0cDHSS0vu2xeKY9XROsozvJxNKZGUJzW3jmdGMZ0Y6x5d0QJoGMunCSbjSosvp02oZNqJ3cvXM3ZYaiFlxwnPXJz7L/3vqD3z+q/dw5723ZtY/+z/PcfP1d3AotpPfPflf3P+Zh/oNwdPLgrJl3P+NL3DdjdcM+E4xPujlHYizdmG+OofyDo0Ve+DNWU6/Jmuyk9Rt1hc2sb6wKbNOSMhNeShO+MlLevA4Om5bx+1ouB0dj60jSIsgW0iihknUnaTTlaLTnUrPXakJdf8Nl94xCEezvWLoKJE1QQgNhMcCj4Ueik90dRSKrOL1evjRt3/OR26+nty88ERXRzEEtNIIrrN3knh5HqURjRW74Y3ZJ5bQOhIpoN2TpN0z9GHCRjqW4mQhLbJGE5M1hpU5CVAiS6GYIkgpSZhH6Wo+zsf2usRRB1AfjLMvWM3+vQd47NGf8sWHPjOONVOMJVpJJ77ztpF6eR4lnTqrdsO6OTb2MF2Hmf2NU7qH4e47c4xhbzE2x5UnuHBTHB0lshSKKULClFz4yO4JOfZfPz8bn3vojyhd1/jc/Xdz58fu4f988p8on146jrVTjCV6cSfuc7eTenk+RZ06Z+6EN+fa2MfOh6uYJKjehdnlBDb0KhSKE5kr3ncppyxZwLce/P5EV0UxTPSiLtznbsPUJIVdGmdtM/AO3eOmmEDkGEyKoaMsWQrFFMHrEvzt87MH/S4b7sKR8IUH/5Vrr/gnbv30/xnjGinGG70wSvDCzSRfmUc45uacrQYb5plEgoNfbcdz94001mk4V95YxFONR0zWiR7npTg6SmQpFFMEIcRRXXaTtQlfefYZnHfx2XztK9/i2o8c7i2YkxOgOxrDtm10/bAfyrZtuqMxQqHgRFRXcQRafjeeizbT/PfTCMU0Vm1xcbDYYfc0i5R7omunGAzlLswuyl2oUCgmlPv+7V6e+/PfWf/G25l1s+fNwrZtNm/c2q/spre3YNs2s+bOPHI3iglCC6R4/RSThjwbTQpmNOqcv9HN3IM6hjXRtVMMQPkLs4qyZCkUigllwaJ5fOD69/KLHz+ZWTd3wWwuvPRc7vnkfXz5a59jxsxK9u89yFc/9zUuvPRc5i4Y3C2qmBiumfkWzASrKYT5biW05TC7zqCqUWffNIuDZVb/HogjOMZwXWoj6l04Qe5EqWUx/+EoLVmTOt3/JERZshQKxYTzmS/fhTwiAc+PfvVdzr5gFZ//9P1ccPp7+Pyn7+es81fxw19+Z4JqqTgeRnEn/ovfxXf2NrRQNy5bMPegiwvWeVmy00Vhu4ZQ+ZQVJxHKkqVQKLLKd3/29QHrpldOY2/75n7rckJB7v/6fdz/9fuyVTXFGCAEuKa1YZS18erbZzDzkEEwrlHWYlDWYpA0JA1FNvWFFp3ByTng9FRGZXzPLkpkKRQKhWLMERqcvWwd8nRw2oJYB4pIHSzEk3RTVW9QVW/Q7XNoKLKoK7YxvSMzcY1X8tPx3Ec29nk0VOB7dlEiS6FQKBTjhhCgF0RxF3ThO20fVkMuqQNFpA4VEIjrzDroprpGcqjUYn9lCtM10TVWKMYOJbIUCoVCkRWEJnGVt+OZ1oo0dV5+dzlljQb5nToV9S7KmgwOTDepKTdxVAb58UGK0QWvK0vWsFAiS6FQKBRZR7hsLlj2GgCphjy636mG9hCzDriZXm+wrypFQ7GF7OmelY3ehdoY5CcYSQ9FSfZ6A6iYrOyiRJZCoVAoJhR3aTv+0hbiB0rofHcWnm4f83d5mb1H0p5n05pvEcm1SHinTqC8KykoaHGR3+yi29b5+0RXSDEuKJGlUCgUiglHCPDPaMRX0cRL686i4pALT0qjqNWgqDX9qEq6HTrCNpFcm46wRdx34oguzYaciEG43SC3wyDYdfjx607Z2avIaBOKKkvWsFAiS6FQKBSTBqFLLlz1ElKC2Z5Dsq6AeF0hibYwnpRGSbNGSXM6Ot7wJmjI0YiEbTpzLWJ+55iiK9vJRt0JQW6ri7xWF3kdOtj9A81EQRfatHa8uU3wyKirNiRU78LsokSWQqFQKCYdQoA7v4tAQQcs3oNuO8Rb8og1FpBoyifWnIeV8FKYgMLm9Dam4dAZtokFbOI+h4TPIe53sFxZMr9ICHTp5LWkhVUgesQj1pdEK+lEK05PwmcCYEXN7NRPkXWUyFIoFArFpEczHAKlrQRKW3ELG8fWiLXk8fedywl36OR0GrgsjYJWjYLW/nkgTCMtuFIeh6TXIeF1SHkkSW/6s2WM3O2oWRBuT4uq3FYX7tThgVQkkmjIpr3QZNbs3YhQHDEZDEHK5Zc1lMhSKBQKxQmHpjsES1q5pvQZABxbkGoLE23OJ9GZQ7IrSLwzh2R3AJel4erSoOso+zJM3IE4mttE75l2mEVYhsTRDisS3RbMNtpwki6cpAs75cbu8oHTZ4Q6w0IvjaCVt+OURMnzWOQB2iQZT0i5C7OLElkKhSKr3PWJz/L/nvoDn//qPdx5762Z9c/+z3PcfP0dHIrtZO1Lb/Chy29ka916wrmhAfv41oPf59sPP8ZHbr6er//gq5n1m9/ZymWr3s/r2/5GRdV0ag7UsnLBhei6zhvb/07ZtNJM2cb6Js6Yex62bWfKK05cNF2SU9RKTlErAG6RDibXbEmsM0SiK0iiO0CiO0A8GiAeDZLsDmAmvDiWi0Skv/Wr5CjHiTFtwDoRjOMqb8cob8Mp6EboaWFmOpPwEasC37PKJLwCFArFVMfr9fCjb/+cj9x8Pbl54RHv47e//D2f+NTHmDWn+phlS8qK+f1//JF//tfbMuv+36//QGl5CYdq6kZ0fMWJgW7Y5OS3k5Pf3m99QqZFlW3pdEdzMOM+4kkfdtKFbbpY3zILwxIIBwQCJNiGZE7eITSPieY2kW4bLZDEDFgZN6ApVRZVxWGUyFIopgpSIszExBza5WU4wSZnX7Ca/XsP8NijP+WLD31mRMecOaeawuICvvHAd/npU987ZtkPffgD/O7J/+onsv7vU//Fhz78Ab77tR+iOw4ux0KTEsvW0HFw0HAQyBTo0sHnJOkWJ07KAMXQ0A0bXziKLxzFLQ9bsy6S+zPLpjz8qEw4rj7r04LKkifSWECC0V3E6gYYDkpkKRRTBGEmKP3OORNy7Pp/eRnp9g25vK5rfO7+u7nzY/fwfz75T5RPLz3+RoNw31fv5T3nfJCN69/ltOVLjlru0isv5MnHf8OGV95k1arTeXPteiJtEa6+9Cy++7Uf4rFNPLYFgEv05ixKzw1N4pI2CyI1mE49McNL1OUlZniI6x7ihhtL6MMSmQrFhKHchVlFiSyFYpwQUuK2TTy2idu2EFKiIdGkRJMOQkpM3SChu4kbblK6cVI9qK9436WcsmQB33rw+3zrJw8f/kKmfzsA3XEwHAeQCCRpQ5JElw4akuVL5vL+ay7ja1/6Jn98+vGMUPJaJj4rhc9KARASDtdfeyX/91e/57wVS/jNk//FddddicuVbgIdoWFpOg6CTtOLLTU0IdFwwDFxENhCQ0eSY8XJseL9zsUSWkZwxXU3ccNDQneT1F04QkOhUJycKJGlUIwFUuK2LYJmnICZIN7hYrqrFWMYiQtTUqfBDFNn5TGtuD1tKTE8pLShiS/p8tLwLy8P/t2QazEypMt7nALpceGETItM6QhISr70lbv5h6s/xj/ffiNuO50rKGgl8PYse+0UXjs1YHe6dBCAy7H50hfu5Mwz38eLz79CUVE+AJp00mX6DLT2kRuv4ZJLPsLdX7yXP/zxOX777B9oNNPf15u5aMm8AXUGkLZBux3ggZb3Yzn1VBktzHC1UKp3UGpEKNCiGDiDii+AiO2jxQkSDiZJ6C66XD46XQEcTYkvxQSgLFlZRYkshWKkSElOKk5hPEJOKo7b6TM0hjs9Szo6TXaIdjtIShqkpI7ZM9lSJ0+PUubqoNToxC1sKt1tVLrbIHp4V5bQMoKr73wAQhzVZTeadjGtE2UmEkMgMzsUPQtCOumYsD7rRY/VTkjZL4pDlw4uYRPUklx49mlcdNFqHv6373LDDe8bUF9L6iSlgYPAkekYKQdBQrqwpEa77Se3aj7X/dP1fOn+H/DI978GQJsTxGfl0GIHAWi0wsxZsJgZs+fwiZs/w4w5c6icv4jtmzYP+XeQCBrtMI12mDeTszLrXVgU652UGR2U6p2UGh2U6hGK9U58mklYjxPW45A8vC8H6HL56XAH6HAH0//nSWTFVEwgUqSn0WyvGDJKZCkUw8SwLQrjnRTGOzMWF0g/OOMuD1GXjz/ULmVv6v9v78zDm6q2//2eJE060JYOdIICBZXB4gSKBRVRGRTE8aKiKMoP5SIiAk54VfAKToCzol4uoKCoV7lfRywOoEiZQUER8MpQkAJCJ0qbZti/P9KEhqZt5g6s93n20+Zkn73XTk5OVvZnr7VTOGJrgfJioaiGnVb6UtIjisgwFHFx6m9EW81EWisxKDtxlnLiLO6zJBaDmYg4KxE2Kwa7crg1mlajP0VVdFTVI8eyV4ej5HKSqklxbv8rb6z3DgUozeEkWaocJBs6xj36CEP6XEFq1mkA7LEkccDqiDj809aSOGvN6MMKewR2NIrt0QDcMfF+Bp2bw8cffQnAMbuRY8pEhXJ4u7aqUVw97EamPfAwjzz3dJBGBRYM7LMl8qctscaIo7VKkvWlJOuPMrD1FqKsZuIrjxFptxBvOUa85Rjtyg5RqdNTHBFDkakFRcYYrDq5NQtCc0A+yYLgJUs2d+bSmF84J2o3hqrEgsfsEaw6dgpryjuyy5KM5cSPlJceikLHQXs8B83x/GRux5d/nAmAARtphiLaRBxxFEMhbSKOkKA/hqkqGi5C2THaQj+H71AZNOzK5YrhWi2lnI81Vx07Glalx6p0WHGsdwI4ZjdhURUuBymzyxlccf21LPzXfABXPYDff/2N6BYxbnZ07pZdw7aklFYMH30n81+d7dF2ZzzVdbfeTP+rBhMbH+8eY1VXwJVWfxXwvC9euRZBvj2RfHsiG3e1rTqqSNGV0NX4J6cb93FaRAGRdiutzCW0MpdgV1AWEUVhlcNVZvAtclMQ6kIpRwnkfMF7xMkShLpQijjzMVLLCjm71e+uw39UtmJ5WWfWlHeg0hm+HYLvQSt69lqT2GtNgnJcOloLXQVnRdkYHWviqN1IpF3DoNnQVy3WrssUezUnyOkYOR0nGzpsqqpw/G/dLQbO3Q8/QO7/fVrj+O1XXlPj2E9/ec5rNWLsGD6c9zbmitrTWBgMBhKSkvw3NChoDoe6Ip5lFV2I0Gx0MBykq3EfXSP+pK3hiGt9V9uyQ1g1HaURUVTqIrDpdFg1PTbnQn3t+PvonMV0zhYef1zlHJ/wvDhuJymyJiusaEqJXxpsSkpKiI+P5+k1fYhs0Tj8WFuIvyQbArsK3cJhTSkSyktJKSskqkoStCgdecdO4duy08m3ePiiDsdLXO3T2toYzZQOPUlpk4FmdM/To3k6georq04u6h11HRVUpYWDe/9k6u5V/Gkpq70JT0EOXgQ+nOjrtNSVMartDySYjxJnOYZBBX87FgUOR03T13DcnH8rdBGYqyIkbXqdy1BP28Poq11ntW0f46mOnuN1j6fOAL1W83iEZnUdc2ZzRymMVgu6Sjs6sx19pQ3NDvYYHfo40PSa23nVqVDV810ZahyrrJZUtL48We5tVTuvWsZ3fR3b6lQctfDE+V9TXFxMXFzNHQ6CgfN7qc3LU9FF1ROoUgf28gr23vN4SG1tTvjtARQVFbFmzRoOHjyI3e5+8dx6660BGyY0Uqr75M3wl7DObmfbjmT6tdhCgv4Y4JAEl5V14euybJfE5ZKQfIgeDApaLf+fgPKmUjPBqxEG4WXQNFXz/a7n/a/tI1LXdVOsopm5Z4CjHnYy9Udop/+LGF0l0ZqZKK2SKM1ClFaJSXMIsXrN7vhby/8G7Og196vCoOwOB84LH86mNApVDEfsMRxRLThij+GwakGPjHzMhgiUFqaZMaUwmG2s/TOTU3UHyNAKifDk9BXZKC+M4Ef7qVze8Vcki0Y1wrzw/fXXX+f1119n165dAJx++uk89thjXH755QCMGDGC+fPnu53Ts2dPVq1a5XpsNpuZNGkS7733HuXl5Vx66aW89tprtGlzfCuswsJCxo0bxyeffALAkCFDePnll2nZsqUfgwwefjlZn376KTfffDNlZWXExsaiVftwaZomTpYPaEphsNvQ22wY7MeLzm5Hp6ryAVXlVQKo1Buw6A1U6iMc/xsM2DSd3zc4Z/8Gmw2D3UqE63+b4/+qx3plR2935CZycnzWuUqK0DTsms4hYWgaNp0Ou6bDpumw6XRVdh+3vdGEsCtFlLWShPJSkspLODP+DwCKbNHkHs1m+bHOrgXUwsmBQoczN1dD27HHlsweWzLg2TnzxtF33B4cedoM2DBqVqK1SqK0yqq/DqctkkqidZXEahUkamUk6spI0MowaHaStaMk644CB443fMTxx6rpqNRHYDY4PtuVBgNmfQSVhggsugAStSqFwWrFWGEhymwmosKCTsFlhl9dVSpUBH+qluxXLflTJaCAi3S/kaYr4TL9r1j2gqEV6LzPldus0ZRXE6x1nu8Lbdq04emnn+aUU04BYP78+Vx11VVs3LiR008/HYCBAwcyd+5c1zlGo/v9dvz48Xz66acsWrSIpKQkJk6cyODBg1m/fj16vWPmcNiwYezdu5clS5YAcOeddzJ8+HA+/bTmMoRw4peTNXHiRO644w6mT59OdHR0sG1qNrQ8dpQYNIejZLe7HBW9srscGX0QpACFI5miw6lxJE2063SudRiAKz+RMwmmzulcBdD/8YXAjvYc30e2uk5xw6rpqDRUcxirnDCL3kClzoBN57/z6A1Gq4WEilISKo66klYC/GmJ56ujZ7Cq/BSsyD5kzRUFoOlB0zucKk2PY8pD51ZH2StQOhPmmE5Umo+gt5ags5agKc8yVOPFsRarEh2VKoIyIj2urznRadOwE69VkKgdJVFXRpJ2lCSdo7SNOILRbnXMilnNRFvNNdqzo7l9zu06HUrD8SNLw3WPMiorOrtCZ3fMsOltNkyVFvQnKCV2ncbPlkx22FPZaW9FkRZTQwbfZG9HN10+V+h/It5ajnU/6OJAn9QsJ+B9I8xrsq688kq3x9OmTeP1119n1apVLifLZDKRluZ514fi4mLmzJnDO++8w2WXXQbAggULyMzM5Ouvv2bAgAFs3bqVJUuWsGrVKnr27AnAW2+9RU5ODtu2baNTp0712rlnzx4yMzPdJo0AlFLk5+fTtm3bWs6sG7+crH379jFu3DhxsOohveQwMbb6Z2usSkeJLYoSexQltihK7ZEcs5swKwMVKgKzPQKzikCHnWRDqaPoHX9b6svRcOQe0tv8c5isSnP1XWKPprjKluJqNpXZTZQrI+aqtQc6HLNajqzYCoNmw6RZMWkWjJrV8b/OQqTmKLH6CpL0R0nSl5JsOEoLndlxY7ZUEm2pmWwSHGsiCm0xHLG14IgthsO2FpzdJh+LzoBVr6dSM2DTHIt/67xzVs0IRtisRFkr2bovlVONBZxiPOiqYlF6fqrIJK/8VH42Zzpu2hqeZzIay006tD5o2PF5KD6c4Hg/dej1GgoDdgyoOh1o5/telfBC02GLTKfSmOGqYaAME6UYq0pxiUJnP4bOfhRNWeqJRKzb3tpmpzzPZHnfhlezXjWO6CglilIVxW5bK/e6ZoUBK0laGcm6UpK0o8f/akdJ0MrQa4pIq4VIq6VGy95gUXr2qCR22FPZodLYr1oeN1LntNkxLl218f1CG363pdJPt4XztP9BiaO+4cRMG4JflJSUuD02mUyYTB7y91XDZrPx4YcfUlZWRk5Ojuv4smXLSElJoWXLlvTp04dp06aRkpICwPr167FYLPTv399VPyMjg+zsbFauXMmAAQPIy8sjPj7e5WABnH/++cTHx7Ny5UqvnKysrCz279/v6tfJkSNHyMrKwmbzfgKhOn45WQMGDGDdunV06NDBr05PFrZUtMZONOXKRLndyDG7kXLl+OtyamxRlCkT/n5zR2AlRmcmUmchSueY/o/SVRKps2DAhqFqgailKhGmIyGmoxy1R1Jsj+KY3RT2BdFRukqS9KUk6Y/SylBa5YAdJUFfRqL+KC315Rg1G6mGElIN1T7MxTXbsgM2nd61aNf5y7i65Fl9dO1bOOQOu4LfKjNYXd6RDRXtKFd13yD8RaGhdCbQRaB0BtAiULoI0CLQbMfQVR5pgrMi4cOxBEQHroi44061qjaf6nrO8aCqXrVzgRNfZQ2bM6bS7a9WtVDJEXFpx0AFifxBMS2oIBELMVirShlVv8CrrwG2W6ocrnI0ezk6ewWarRydvRy9rRithiVNFysGDihHklZwd+R02EnQqma/tKMkaMcwaRZMmhUjVkw4fpApoFwZKSeCiqq/5RjZa09kHwnYTnCIvZVxzUTwmf1s9mkJXKdfh70IbEbQtwjW6JsgQVqTlZmZ6Xb48ccfZ8qUKR5P2bx5Mzk5OVRUVNCiRQsWL15M165dAbj88sv529/+Rrt27di5cyePPvool1xyCevXr8dkMlFQUIDRaCQhwX1HhtTUVAoKCgAoKCio4RwBpKSkuOrUOyylasxiARw9epTISP8DBbx2spyLyQAGDRrE/fffz6+//kq3bt2IiHCPbBoyZIjfBjUnXj98GbqoyJDONlgwUGQ3uC9eDfdibD8oV8bjqQlqKgwYsNFSX0aivszN+eqeuKcq+aYNvd2GU9zRVTlUdWHVdFQYjKwras8eSxI/mTMptsfUeY4/2HWR2E3J2I2J2CNiUYYWDimqNpRCs5aiqzyMvvIIOvMRNOXfr/6mg2NmyekYOdINVHekdNWcpmB8gBwaiR4LGlZ0WB0OVR0RXw4rFZpmQ4eVVtpW0BwOv1UZqSQOM7FUVpUSSyJ2XTRKHwW6COy6eOzUTKSKsqO3FWGw/IXBcgi9tdDl1DU37Og4rGI5rGLdjus8vKW1zbLpgnA/26jak2Iv4ULddmyHQDMAoflN1fgJklyYn5/vFl1Y1yxWp06d2LRpE0VFRXz00UfcdtttLF++nK5du3LDDTe46mVnZ9OjRw/atWvH559/zrXXXlu7GSc4RZ4cpNocp+pMmDDBdf6jjz7qptDZbDZWr17NWWedVWcbdeG1k3X11VfXOPbEE0/UOKZpmt/Tas0NTafQdCF0eJqIVORPBJ4NHYftsRy2x7Kjmr+xsKR3tVoKk2YlRjMTo6sgRldJpOaYxdPAMVtoj6TU7pBgT/w17DDOZ9NqOM1KM2AzJtMyMYpilYHZwxerhg09lRgwO/5qZnRYKVcJVGgtURFx2CLisMVkARDNYeK0P4nT9pG/X0NTNT9TJ8zZVL0ijQhNwxihsKNHKR2qKuZN4b7uyTuqpz61V81kHM9WD87IvxOOueoHfk/SquRxAKNmxsghWnDoeAXXd4yuyvlqQaWKwUIMlcRgUTGO41osNkMiNkMi5qjT0LDSgoNYyguJsB5CbyuqPS+qD86JR7mwlnbrc2R86cOTA1VXG/XZ4LmPWurW0e43KpsUVUInCti3L45WWceal94eZuLi4rxO4WA0Gl0L33v06MHatWt58cUXeeONN2rUTU9Pp127duzYsQOAtLQ0KisrKSwsdJvNOnjwIL169XLVOXDgQI22Dh06RGpqap22bdy4EXA4ZJs3b3ZbdG80GjnzzDOZNGmSV+P0hNdO1olpGgSh4dEwK8d6tSN2D/P/Ib5/2g0tsERnYYvKAE3PQdd9304Mh4jT9hOj/UW0dhgTpbXezytVFKUqjVKVTqlKo5xEjpHEMZVEgeoGKXZ0liLHTJf5L3SWovBFvTkXgjvlObfZpWrynVtyy+Nun7lOM507EVZLi6pVd6SOH29k7mOd6DQbURQRRZHHa9CsYjiqMighnVKVgZVoSsmAqAwqAM1eicF6kAjrQSIsh9CpmptOC76j0PjYfi4TdF+SqpVgL9dD9EnoZDWCZKRKKcxmDxIGcPjwYfLz80lPTwege/fuREREsHTpUoYOHQrA/v372bJlC88++ywAOTk5FBcXs2bNGs477zwAVq9eTXFxscsRq43vvvsOgNtvv50XX3wx6Lm//FqT9fbbb3PDDTfUmB6srKxk0aJFksJBaNbYIhKwtDgFu+n4ImDNWkpKxG7itD+J1fZj0LyX+4xaOUnaTpLYCYBFRVKiMlzFrMU5pEdjItYWp4Ldis5aSqWqQGmGqnVemo/7XVRf3+SQ6ZRLptPViLLzj+OzSBo2dJrzfzs6bDQlxymYmLQyTNoOktiBUlBBS0pVOgfM7bBGtELpjFiMbbAYHTmAdPZj6K1H0CkzmrI6CtaqdXx2l9R4fHbPlViF46+xc1bveBSwrlo7CmtTmRj3iB09lVoClVoCNiKJsedjoqhGvQqMbFDtydF+Ryu2o6IbSRqZcBJmJ2vy5MlcfvnlZGZmUlpayqJFi1i2bBlLlizh6NGjTJkyheuuu4709HR27drF5MmTSU5O5pprHLs9xMfHM3LkSCZOnEhSUhKJiYlMmjSJbt26uaINu3TpwsCBAxk1apRrduzOO+9k8ODBXi16B9xSSIBjYf+3335L586d6dy5s2+DroZfTtbtt9/OwIEDayw0Ky0t5fbbbxcny0mwlpNUb7Ixr7dqBHfpUM3+KyAzQ8ef9rMody50xk6itpN03WZiIw7WdbpPmLRjtOJ3WuHYxqdCxVKiMii2t6ZEZWDRRWM3JmDXKZRO51gDZDBRfQbIM86v2eMLwetHVTlGTknuuFTnLsm5djY84bmmj/Nj7IykrQ+f1hBpEEMhMRSSEf0LSmkcpRXF9jYUqzaUkYxdF43dGOpIbjt6LK5i0MyYtKNVpZTCMg29vRy9OoZG5fHgvgDXVvm7Diu1hY0j9kxK7KmU2ltRphKo/qOgSJ9NjD2fBPsWorUjbueupiM91e/oKhSqUoGxOVyljZcDBw4wfPhw9u/fT3x8PGeccQZLliyhX79+lJeXs3nzZt5++22KiopIT0+nb9++vP/++8TGHl/H9/zzz2MwGBg6dKgrGem8efNcObIAFi5cyLhx41xRiEOGDOGVV17x2s6hQ4dy0UUXMXbsWMrLy+nRowe7du1CKcWiRYu47rrr/Bq/X05WbYvJ9u7dS3y8h4WegtBEUYDNlIq1xSlst1dFT2GjlW4bGbqfiNRKQ25DpFZKpLaNFN0218zHMZVILOno6Vy13kjhcKL09aQmqE41WU6rLt3Zq0XZhc6pP3TgIK8/9wrLcr/lwJ8HSGqVRJduXbltzB30uvgC+mb35ra/38GIu0c6rFWKpx95kg/mvcdr771FTp/e9fTQ9NA0RSwHidUfpA0bsCkDR1UqZSRhU0ZsRGAnAhsG7ERgd73XmivSUuGIHnN77PrrfNcNVW0515/osGHC5lxYpqC0+ltfTbTQlBWdOoZBlWFQZejVMQz2MvSqqmAOunNtx0CFlsIxLZ1yXTo7zbE16hgpI053EE2zc8jWgTJdJmW6TOLtO0hWG9HjmF0uJoattOZ09qEV21CtGsfWZ2EjzBnf58yZU+tzUVFRfPXVV/W2ERkZycsvv8zLL79ca53ExEQWLFjgk23V+f7773nkkUcAWLx4MUopioqKmD9/Pk8++WR4nKyzzz4bTdPQNI1LL70Ug+H46TabjZ07dzJw4EC/DBGExoRCwxaZjiWmIyrCcUPXYaGV9hut9T9h1I41iF2ahmO9j1ZEAoUYaI9JK0GvHavK562rmqnyxPGF4IR8y+e62bs7nxv7X0dcfBwPPPEwnU7vgtVq5YdvljN14mN8tf5bt/o2m41/3PMg3375DfM/fY8zup/ZQJaHF71mJV7bRzz7aq1T216BnuuesJelosppqyoqAhtGLJiwqBaYaYFZtaDE0hKbLhq7FukI9NDisBHnKTAYTVmqnK+yan+PEoHjsVaHNOm4Oo1YicCmRVOhtaJCS6VCS3KL0NWwEa/bT4LuT2J1B4nVHcKkHXO9FmX2BDYfu4CjuvYU607lqGpDqn0NLdgLQJ46ldO1fXBUQYLiZMo5HO6M702F4uJiEhMdSdSWLFnCddddR3R0tCubgr/45GQ5Iww3bdrEgAEDaNHi+GJjo9FI+/bt/fb2miOaK+Ip4IYaHY0iKCcEn3aFjrSMGP60nUllVZSgnkrSdFtI020hQqsISki5v9ir/YrUacelOcdaGyuVNs+LSasTChHPpDfVGypdnSkT/oGmafznu0+IjjkuhZ3a5TSuv2WoW91Ks5n77riHzRt+ZuGSDzil06lBs9sXdBreyYV+zv754iy5n+d9fzXqao7rO4KaCYHd6lZNeNmVHrOKoULFVpU4KlQs5qq/lcSgtAgsWksstKzdDizosKHXLOixYkeHVUVirSOvQpRWTJJ+N0m6PSTo93pc9+jcnzFOf4TesZ9wxNaaX819KSORP/UX0tq+jBb8yZ8kkE8imRzhx/wOnNs+v/YXTTgpyMzMJC8vj8TERJYsWcKiRYsAx56IYcmTBY5kYwDt27fnhhtuCKhjXxkyZAibNm3i4MGDJCQkcNlll/HMM8+QkXE8A/OePXu4++67+fbbb4mKimLYsGHMmDHDLSRz8+bNjB07ljVr1pCYmMhdd93Fo48+6vYFsXz5ciZMmMAvv/xCRkYGDzzwAKNHjw7bWBsbVbmUHck0Nccl49wL7XglO5qyAzZQtsboF9aJ0oxYo1pjjc5ip82xyZmBCtJ1m0nV/YJB85yVvjFhtpm56ZPrG6Tvd4d8RKTBu/tB0ZEifvh6Ofc9dr+bg+UkruXxJQfHysoY9bfbKdi7n0W5H5GR2TpoNgu+o9NsRGklROGe7dvpWNqU3uV4Vag4yqv9X6FiseK4RuxVsqdVeb5mDJgxaBXE6Q6SqMsnUb+XKK3Y5x93ifp99Ip6j18qL+FPaxf2axfQVn2FiWJWcQqZrOEcdoJdX3vuieZGI4gubIyMHz+em2++mRYtWtCuXTsuvvhiwCEjduvWze92/RKjb7vtNgDWrVvH1q1b0TSNLl260L17d78NqY++ffsyefJk0tPT2bdvH5MmTeL6669n5cqVgENOGDRoEK1atWLFihUcPnyY2267DaWUS8ctKSmhX79+9O3bl7Vr17J9+3ZGjBhBTEwMEydOBGDnzp1cccUVjBo1igULFvDjjz8yZswYWrVqFdJZOoUGOiNKH4nSmaplBjeAznDcubE5Mke7it3s97oZx95tESi9CaWLrPprctlAteN1JtP02Ljd4WwpGygrmt2KZnfaXoFmLz8+Fnvw13B4ZSIaNmMrbFGZ2EwpVRF1EEEZGbqfSdFtRa81n8zcjYXdfzgWk3Y4rWO9dV999mViWsTw5dqvSWqVHAbrhEDQazZiNMdCfk9YlWMtmU1VbW2k6bEpQ9XWXBVEaBUYMLvNovk7w3f8fBunG7+h3B5Hob01+7iYtmoJ20mnkGgSOIblKNjjTrK1WYIbY8aM4bzzziM/P59+/fqh0zm+Dzp06MCTTz7pd7t+711444038uOPP9KyZUsAioqK6NWrF++9916NdPvB4L777nP9365dOx566CGuvvpqLBYLERER5Obm8uuvv5Kfn++a3Zo5cyYjRoxg2rRpxMXFsXDhQioqKpg3bx4mk4ns7Gy2b9/OrFmzmDBhApqmMXv2bNq2bcsLL7wAOEJD161bx4wZM3x2spTeiN0QQ2pyedWiUqNjxgQTVqKwEl31NwobkX5qcHb0VFZNvzszWTv+d+YZUlC1V5tzsazjBmclyodF0s6+LBxfZH08L5JjLVC1tqrSACgcuwHU7QbaMVJGBGWYtKOO/7VjRHAMo3aMXQUxVY5Y4OuIlBZB23Qrxao1f9lPxcLxmZQY7SCput9I0W1Hp9WevLIh5cLq6DTllprKZDDx3lX/qf9EP8yvT2I06X1In12VasIbefGCSy5k5bIVzJ7xKo8887j3fYQA51VeH4E6BY42ApAAg1XXb9mz9vOMmgWwVKtb/2ulD4LNOs3GOZGfkVd+A8doyVHDOUTafmSt6kh/NqMvsWKPPTkWZmkEuCYraJY0Pnr06EGPHj3cjg0aNCigNv1O4WCxWNi6dasrB8W2bdu44447GDlyJLm5uQEZVR9Hjhxh4cKF9OrVy7WlT15eHtnZ2W7y4YABAzCbzaxfv56+ffuSl5dHnz593PJ7DRgwgIcffphdu3aRlZVFXl6e20aUzjpz5sxxOXQnYjab3RKrOTfOrEi5GF1MC/Z4OzBlx0A5BirQY65ylhwh1ToqAQ0LMa5i1aJR6LER6XDS/ERPBYaq3cIMHHP7G0EZEZS77Knre9Hh0OmrnDi9y5lzLKw1YSWayqrs145M2C2oJBrQubYmKTue1uc4znRU9ko0WwU6uxnsZjR7pWMjXmU9YebMDpqG0kWh9JHYdZGO2Tl9FEofzW/V/CcD5bTSbSdFt40Ynedf300FTdO8k+xC4GT5QruOWWiaxv+2/U6/wQPqrJvTpze3jr6dv9/0/7DZbDw2o+YuE4LgDUatgh6Rn/J9+S0csHUkli38RFsu5DeirBZ05XaIamgrhYbCZrMxb948vvnmGw4ePFgjAfu3335by5l145eT9cMPP9TY2bpTp068/PLL9O4durDqBx98kFdeeYVjx45x/vnn89lnn7meKygoqJE+PyEhAaPR6LaJZPv27d3qOM8pKCggKyvLYzupqalYrVb++usvVxba6jz11FNMnTrVs9F2CxFaRdVsk/n4tiqUV5Vjrv8doc/efwNqgJVIbBirzVAdn6k6vn2JqjbLZa1y2qyufnV17Jvmy8J9TXNE/ehq2cLE0y9cpTQsRFU5Xi2watFUqhZYiKZSRTueUzEOuVJnROmMAW+QEkkRMdohkvV/kKDtCcrMg+A9LRNbcsGlF7Hwrbe5dfTtNdZllRQVu63L6n3Jhbzxwb8ZfcNI7HY7j8/8p0+L7AXBSaz+MGn63ymwncpfdMWk5bFRtaMXv6Mvtp4cTlaYUzg0Fe69917mzZvHoEGDyM7ODto9xi8nq23btlgsNSM7rFYrrVt7vzB1ypQptTsnVaxdu9Y1fXf//fczcuRIdu/ezdSpU7n11lv57LPPXC+GNxtEnlhHeZAuvKlTnYcffti1ySQ4ZrIyMzOJLMhFHx1J29TjyfCCKTVpqKrZJt+23fBXBggFmqYwcgwjx0A75PH1+WVfWtX6NOd6sUiUzuhyupSmA/Sg6R3/a3rHpstVa8B09oqqdWAV6KylnNF6N9B4ZL+TkSmznuTGftdyfd8h3PvIBEcKB5uVld+u4N0577Bknfuvxpw+vXnzw7ncNfQOUIrHZz0pjpbgF1nGDRSUn0oxHUhlI+voQA6/ozPb0Zut2EzNfG2WLHz3yKJFi/jggw+44oorgtquX1fTs88+yz333MOrr75K9+7d0TSNdevWce+99zJjxgyv2xk7diw33nhjnXWqzzwlJyeTnJzMaaedRpcuXcjMzGTVqlXk5OSQlpbG6tWr3c4tLCzEYrG4ZqbS0tJcs1pODh50ZOqur47BYCApKcmjjSaTyeMO5O1Sj2CIcT8ezC92f50lX2angrnew9exO8fXrfX+WtqrewYq2PaEqg1/cb6Pvm4s4M8PUc2nLXs8y4vVZ2nbts/kvz98zuvPvcLTjzzJwYJDJCYnkn1WNk88/6TbFjHO886/8Hze+s9c7vzbHdiVnSeenxYWR8tpi06z1znr6wl/r4+mtM6qZl3vX6NgrLdy77v+Ogm6/bTU7afInk4hp2HUfmKLyqQb+UQWmilL1TeSHDVCOKm+iXUw8cvJGjFiBMeOHaNnz56uhKRWqxWDwcAdd9zBHXfc4ap75MiR2ppxOU3+4Jxdcq6FysnJYdq0aezfv98l6eXm5mIymVxRjzk5OUyePJnKykpXWofc3FwyMjJczlxOTg6ffvqpW1+5ubn06NHD43osQRD8IyUthcdnPsHjMz2vs1q25ccax87r3ZNNf/4SatOEZoymQQfjBjZUDOIwnWnFFn7QTqOz2keE2Yah3Io1uhnf62UmyyMTJ07kxRdf5JVXXgnqjze/nCxn5F24WLNmDWvWrOGCCy4gISGBP/74g8cee4yOHTuSk5MDQP/+/enatSvDhw/nueee48iRI0yaNIlRo0a5dtUeNmwYU6dOZcSIEUyePJkdO3Ywffp0HnvsMdeLOnr0aF555RUmTJjAqFGjyMvLY86cObz33nthHbMgCIIQGlL1vxNBKRZiKaQjem0b65RDNowsNHM0qvlKhpLx3TMrVqzgu+++48svv+T000+vMany8ccf+9VuQHmywkVUVBQff/wxjz/+OGVlZaSnpzNw4EAWLVrkkun0ej2ff/45Y8aMoXfv3m7JSJ3Ex8ezdOlS7r77bnr06EFCQgITJkxwW0+VlZXFF198wX333cerr75KRkYGL730kl85snSaqnX6OhjrovzNJt9Q4eG+jjnUcmBQ5MJw/6yr9gPLb7nYh7quHnz8YVevvNjE1BhN836D6OqERS5s5hLgcRuClz5Dp0Fn01o2my+hRNeJVuo31ug60pP/obfaMR61UNmi+TpaQk1atmzJNddcE/R2/b6K/ve//zF37lz+97//8eKLL5KSksKSJUvIzMzk9NNPD6aNdOvWzavwybZt27pFHNbW1vfff19nnT59+rBhwwafbBQEQRCaDm2NW9hq7sVReyIlWhvitb2Y401EHanAVGSmLDoS1RyzwItc6JG5c+eGpN3adpKtk+XLl9OtWzdWr17Nxx9/zNGjRwH4+eefXVvvCIIgCEJjJUKz0N64GYBDKhuAyhYR2Aw6dHZFdIlvUdtNBhWEIniNXzNZDz30EE8++SQTJkwgNjbWdbxv3768+OKLQTOuqaOrI0N0MDaObmqRS77mowq1HBgMqS/s0YXVutPV9kS9eP/r3N/f8b5EMDb2uQJXUv1wyoUiAXqoG/zs8KcY1/O/ynM4SjoVJPKvPy+ig/0A17COqBIz5S1M2A0nRyb4k5FzzjmHb775hoSEBM4+++w6F7z7q2755WRt3ryZd999t8bxVq1acfjwYb8MEQRBEIRwEq07SpuIbeRbunJAZZOlLecPLYU9WiJt1RFiiiooTY5paDODiix8P85VV13Fr7/+Su/evbn66qtD0odfTlbLli3Zv38/WVlZbsc3btzoUzJSQRAEQWhITjWuI9/SlUKVRWu1DqNWxnJdV4bbVhB5rJJyswmLsRktgpeM7y4ef/xxdDodZ599NiNHjuTmm28mPj6+/hN9wK81WcOGDePBBx+koKAATdOw2+38+OOPTJo0iVtvvTWoBjZlNE3VWnRBKNUJRnv19lElf9ZaNHudJRz2upV67Q32e1D3+P0tdb1uzkSk9RV3Qr/4wlu7mtLt2q9rpr5rMOjXpvfXlV5TXpfQ2R5ce32z09FuoqGAVvrdgI796mx0muIvXRxbNcc+uBUH9a5NzZsFsibLjR9//JFzzjmHhx9+mPT0dIYPH853330XtPb9crKmTZtG27Ztad26NUePHqVr165ceOGF9OrVi3/84x9BM04QBEEQQk12pCPi/LA6lWMqEYCV+tMwYyBdFRFfdLQhzRNCSE5ODm+99RYFBQW8/vrr5Ofnc9lll9GxY0emTZvG3r17A2rfLycrIiKChQsXsmPHDj744AMWLFjAtm3beOedd9DrZZGgIAi188BdExl94yi3Y1/+9wu6Jp/Gm8/P5sXpz3NKbHsevXeyW51ff/6FU2Lbs3d3fjjNFU4Ckgz7yYzYCmjk289DKTiqRfGV/kwUEHO0guijzSPaUFOBl+ZIVFQUt912G8uWLWP79u3cdNNNvPHGG2RlZQW0n6HXQnP1hJ2eWLVqlev/WbNm+W1Qc8KTpFT9uWD35XVdvyOXAksO6mvd+urUH80Y3GjH+vAlssk3PNup+bCPnt9Rgn5rA973+P68RUyZ+BhTZj7BDSNu5MXpz2OKNPHh2x9wx9iRZJ3awaNl4UaHPwl1Q/NZq42mEgXoJFT2emPHiWPqFrmcvZbTKFWtOUoGCVo+u/XJrOIUcmy/E194FKVpVEQamvbehpInq146duzIQw89RGZmJpMnT+arr77yuy2vnayNGze6PV6/fj02m41OnToBsH37dvR6vWufQEEQhPp48/nZvDBtFs//+0UGXnW563iHUzuQ2CqJWf+cyctvv9qAFgonCy30xaTptrDffiZ7bOfTUtuLpinW6TpwlnEPUeWVJBwpJVZXRklMDKUx0Vh0Xio3SqFXNgx2G4aqvyabhShrJVFWM801JVdTZPny5fz73//mo48+Qq/XM3ToUEaOHOl3e147WdUXgs2aNYvY2Fjmz59PQkICAIWFhdx+++1ceOGFfhsjCIL/KKWgwhzcNr2tGGnyeVPVZx97moVvvcNbH/6b3n0vqPH8/VMf5No+V/Hz+p84o/uZPrUtCP7QWreRQ/ZOlJPAQXtnUvVbQdMoTIzDWnqM6KPlGOx2EktLSSgtpTQyiqNR0UTadeiUwqDsaDY7EfYqh8puq/rfWufaHLslbEOEQCW/ZjiTlZ+fz7x585g3bx47d+6kV69evPzyywwdOpSYmMBSePgVlzpz5kxyc3NdDhZAQkICTz75JP3792fixIkBGdVccO535omgy4U+Tf37J0XUL78FWS4MoxwYDKkvZPsY1uK76Kv607Qq9aLCjPnC4O+95Q3GHxajRUW6HtcnMy5fupyvP1/KO58tJKdPLzzdubPPyuaKawfx3OPPsuCzhceTghLeqERnf85oQV8IhiTd1CTA6gTT9mAnM9Z7kNtPbbEfZf6e9eX92WvvTiv9Dgyahf87fLajzQg7HewHyLbuJV0VEVdRTlyF99NQFvSYNQNmIijTTBTpYijUxXDAZgT+8Gl8fiNyoRv9+vXju+++o1WrVtx6663ccccdLoUuGPjlZJWUlHDgwIEaexQePHiQ0tLSoBgmCELzpXN2ZwoPH+GFJ5+n2zln0CK2hcd69z06kYE9+vHDN9+T1Co5zFYKJyOnGDey3dydUnsS+2xn0c6w1vWcXdPxuz6d3/XpJNlLOd2WT5I6ihU9FvRUagYqNCPlRDj+alV/MVKhRWDT9B6dP4uuMpxDFKoRFRXFRx99xODBg0MSuOeXk3XNNddw++23M3PmTM4//3zAsfD9/vvv59prrw2qgYIgeEmkCdOKxR6fCnman0iTT9VT01N5dcFr3DxoGHdcM4J/L57n0dFq16EdN4y4gecef5anXn0mWNYKQq3oNDtnRX3HD2XXs99+BmnqV6K0mikcDutiWaHvUvP8xj7VIzNZbnzyySchbd8vJ2v27NlMmjSJW265BYvFISYbDAZGjhzJc889F1QDmzJ1RRe61QvKHnqhkQBDVdebMYdTDgz2jTGocnAtTWknZAjUNCDKs7Oj+Smw+eucedNb68zWvPflIm4eNIzbr7qVuf+dT2xcrJssCHDPQ+Poe8bFfPafT/0zJkhomh2dDxGdJ+KvJN0YJMDw2B686GXwLAd6215mxHZSDbs5YG3HYe1sMvneY0Chp/HVvkSkpj3O11VptjptDSaBpmForikcQoVfebKio6N57bXXOHz4MBs3bmTDhg0cOXKE1157LeBFYoIgnDykt07n3S/eo/BIISOuupXS4pIadZJTWnHH2JHMnz0v/AYKJyWaBt2jvwYUuypPZ7/t9HrPEQRP+OVkOYmJieGMM87gzDPPFOdKEAS/SMtI470l71NSXMKtVw2nxIOjNereO+UeI4SVJEMB50R9C8D/rL0psqc3sEVCU6QZ7XrZ+HDukVVvvSBEIPmf9DBEUkSAkYGOOuGTA4OfHDaw99Sujv/+qVV+wPs9AP1NKupLWgZvpcXn3phR41hKWgpLN3xT6zktYluwdtd6j8+FOi+ks329plwRnf7gfxLg5isButf1PRowkPa86a9b5EoKbansrMxma+UAzjL+lxhdYZ1t1DZmT6+387UM6zouWZMVVsTJEgRBEAQPaBr0jvmUQ5YUjqoU1lbeRKJuNxn6LSTp9vi8QEkpsGHAoiIpV/GU2RM5ak9EWUqAd0MziBOQNVnhRZwsQRAEQagFg2alm/FLtlku5oi9nauYKKG14Rda6f9AocNGBBYViRUTlSqaShVFpYrGoqIc/xONRUVi9/C1a7QWNMDIhHAgTlYI0Wl2r6bLgyFVhUUuDGKUkzevS3ATGTa1fQy9uG5CtHehquNRnX00uv3cgvWTuyp600v5vzbCsY9hU5MAq+OLHBiMvU99iT7s0mI3XZhPiS2B3yq6s8N8FmYVxx/WHP6w5nhndPW2sRKjKyVBf5AEwyFi2UNYtz2X2aiwIU6WIAiCIHhBnL6Q82K+5pzoZeys7Mq2iu4csaYSoVVi0CwYtQqidUeJ0pURqSsjSisjqupxlK6MSO0YkbpjGLC4rSU0qzDuqyNrssKKOFmCIAiC4AMGzcqppp/pHLmpxnONPhmpEFbEyQohXicjDXpkW2gkQF/6qE9SCPZ+bOG0xxsCvtF6obzpUFX1VFViUneUnwlI/RX9/I1gbAzUNebjexcG9r6GY/8/t/6aoQToS91AkpEC6L1Z6uHhNfbmvJq2BHe5Ql3IwvfwIk6WIAiCIJwsiFwYVgJKRioIgiAIgiB4RmayQoi3cuGJ5wTcb4j2OnM/LzD5Ldg2htMeX/BbBlD1//6pz2ZPEqJXXYdZZmwq6Bpo70I3G05yCdAXGwKVA715rYPRhi/1goHIheFFnCxBEARBOFkQuTCsiFwoCELY+evgX0y+5xF6d+5Np8TOnNvhPG696jY2rN7Q0KYJgiAEDZnJCiF+yYVB+JkQqr3OqhNOOTAYiUvrT1Yamuge/+VfL+QQpercu9DfnsMhM/795jFYrVZmvDGDzKy2/HXwL1Yu+5GiwiK/+g4n4Zb93M47ySVAX9r1JcrP3yjB+t5Hb23wJyLRb2QmK6yIkyUIQlgpKSphXd463vvyPc6/sCcAbdq25qweZzawZYLQ/JE1WeFF5EJBaCYopbCa7Q1SlPL+zhvdIpqYFjEs/SwXs9kcwldEEIQaqCAUH3j99dc544wziIuLIy4ujpycHL788svj5ijFlClTyMjIICoqiosvvphffvnFrQ2z2cw999xDcnIyMTExDBkyhL1797rVKSwsZPjw4cTHxxMfH8/w4cMpKiryzdgQIDNZIUTnx15nwdnH0PepZ18lkED3CnSvG3ii0EDlwGAnhHXiiwQCYKv63eONPZrzjlelF9oqFV9O3uOHlYEzcHpbDCbvXsMIg54Zs5/loXsms3DOu2SfdTo9L+jJldcPpkt25xBb6g+O11inKfQnXGfhkP3cz2taEmB1Ak0O6tZWgFKgN+0FJbrQSztDdf9pDLRp04ann36aU045BYD58+dz1VVXsXHjRk4//XSeffZZZs2axbx58zjttNN48skn6devH9u2bSM2NhaA8ePH8+mnn7Jo0SKSkpKYOHEigwcPZv369ej1egCGDRvG3r17WbJkCQB33nknw4cP59NPP22YgVchM1mCIISdy68eyOodefzrgze56NKLWPXDKgb3HsKHC/7T0KYJQvMmSDNZJSUlbqW2Wekrr7ySK664gtNOO43TTjuNadOm0aJFC1atWoVSihdeeIFHHnmEa6+9luzsbObPn8+xY8d49913ASguLmbOnDnMnDmTyy67jLPPPpsFCxawefNmvv76awC2bt3KkiVL+Ne//kVOTg45OTm89dZbfPbZZ2zbti0kL6O3yEyWIDQT9EaNy6e3Dbgdf35T642+Z8mKjDRx4SUXcOElF3Dvw/fw4N0P88K0F/nbLdf7YYEgCN4QrDVZmZmZbscff/xxpkyZUue5NpuNDz/8kLKyMnJycti5cycFBQX079/fVcdkMtGnTx9WrlzJXXfdxfr167FYLG51MjIyyM7OZuXKlQwYMIC8vDzi4+Pp2bOnq875559PfHw8K1eupFOnTv4POEDEyQoh/iUjDTzKxJ/op2DLmr6MIxiRioHKgb7Kev7g1bWgfHjdqmzWqvYu1DTQIoMwOe3DpRBMkePUzqeQ++nSILYYXDzJ/+GQ/arTGCRAfz8rwZQDfblfhXIPwnqXOnhpp7f1GhP5+fnExcW5HptMplrrbt68mZycHCoqKmjRogWLFy+ma9eurFy5EoDU1FS3+qmpqezevRuAgoICjEYjCQkJNeoUFBS46qSkpNToNyUlxVWnoRAnSxCEsFJ4uJAxw8cy9Na/0Tm7My1axPDzhs3Mfv5N+g2+rKHNE4TmTZBSODgXsntDp06d2LRpE0VFRXz00UfcdtttLF++3PW8prnPhCulahyrYcYJdTzV96adUCNOliAIYSW6RTRnnXsWc175N7t37sFqsZLeOp2bRtzA3fePaWjzBKFZ0xApHIxGo2vhe48ePVi7di0vvvgiDz74IOCYiUpPT3fVP3jwoGt2Ky0tjcrKSgoLC91msw4ePEivXr1cdQ4cOFCj30OHDtWYJQs34mSFEJ1mD0j+8zfpoT8RT6GUNcORKDSYcmCoIn2C3a7OQ/rPoCQS9eGHnz9DijSZeGjq/Tw09X7fT24AnMledaga12I4ZD9/+2tqEqBbu0FK8ulNW960V9s9qD6Zz/vowjAmI20EKKUwm81kZWWRlpbG0qVLOfvsswGorKxk+fLlPPPMMwB0796diIgIli5dytChQwHYv38/W7Zs4dlnnwUgJyeH4uJi1qxZw3nnnQfA6tWrKS4udjliDYU4WYIgCIJwshDmjO+TJ0/m8ssvJzMzk9LSUhYtWsSyZctYsmQJmqYxfvx4pk+fzqmnnsqpp57K9OnTiY6OZtiwYQDEx8czcuRIJk6cSFJSEomJiUyaNIlu3bpx2WWO5QVdunRh4MCBjBo1ijfeeANwpHAYPHhwgy56B3GyBEEQBOHkIcxO1oEDBxg+fDj79+8nPj6eM844gyVLltCvXz8AHnjgAcrLyxkzZgyFhYX07NmT3NxcV44sgOeffx6DwcDQoUMpLy/n0ksvZd68ea4cWQALFy5k3LhxrijEIUOG8MorrwQw0OCgKV9SNQteUVJSQnx8PDd+czPGFka/2wl0H8NQ7mHoi5QZjkShwZQDGzIxqc2H1HWxKpHLtJtJb5uGwaSv/4QQ4Mt+hU0Vq9nG/j37+dL2PiXaEbfnwiGz+XteU5MAfWk36NGFfkYJBiu6sOKolYfOW05xcbHXi8l9xfm91GXMdPSmSL/bsZkr2Pra5JDa2pyQmSxBEARBOEmobUN5X84XvEecLEEQBEE4WQizXHiyI05WCPFn70K38wOUrYIZAVijbR/GFc5Eod68Zg2VmDT4yUgd7TmTkUL45Tt/oxmbEs4x6rHXuDbCIftVpzlLgKFq15v7oL9RgsGKLtTCGF3YECkcTmZk70JBEARBEIQQIDNZgiAIgnCyIHJhWBEnSxAEQRBOJsRRChviZIUQfzaIdj8/MJ0+mGkWaj0vDNnYg53lOpj9+Uv1dSQ2dVy192msHt6zoGR8F2qg4fnzHIxrxZ91Vr7229zWWbm1G4Q0CqFL4eDdOMKxQb3QMMiaLEEQGoR1qzbQPvY0hl91OwAT7nyAtjGn1FkEQQgM58L3QIrgPTKTJQhCg/DB2x8yYvStLJr/Afvy/2TKc4/y0BPH9zPs0TGHmbOfoU+/ixrQSkFoZsiarLDS5GayzGYzZ511FpqmsWnTJrfn9uzZw5VXXklMTAzJycmMGzeOyspKtzqbN2+mT58+REVF0bp1a5544glOTHq/fPlyunfvTmRkJB06dGD27Nl+2ercINrfotdUQMWZQsKr4redqt7iDH2vrdR3vvtrGlhfvvan1+whKdVfe7/b0OxBS6HgTAPhTQkGx8qO8dnHXzB81DAuvbwvHy74iLj4WFLSWrkKQFzLuBrHGgqtvmvFi2vPn+vR43UewPVWX2kU7fpyn0TVWULZRn3vfXV8ue8IzYcmN5P1wAMPkJGRwU8//eR23GazMWjQIFq1asWKFSs4fPgwt912G0opXn75ZcCxrUC/fv3o27cva9euZfv27YwYMYKYmBgmTpwIwM6dO7niiisYNWoUCxYs4Mcff2TMmDG0atWK6667LuzjFQRvUUphO+FHRUj68bB+S280omner+v69D+f0+HUDnQ8rQPX3HgVj098gnsfGutTG4Ig+I7kyQovTcrJ+vLLL8nNzeWjjz7iyy+/dHsuNzeXX3/9lfz8fDIyMgCYOXMmI0aMYNq0acTFxbFw4UIqKiqYN28eJpOJ7Oxstm/fzqxZs5gwYQKapjF79mzatm3LCy+8ADh29163bh0zZswQJ0to1NgqK/lo9IMN0ve1s5/FYDJ5XX/R2x9yzY1XAXBxv4soKytjxXcrufCS3qEyURAEELkwzDQZJ+vAgQOMGjWK//73v0RHR9d4Pi8vj+zsbJeDBTBgwADMZjPr16+nb9++5OXl0adPH0zVvgwGDBjAww8/zK5du8jKyiIvL8+1i3f1OnPmzMFisRAREVGjb7PZjNlsdj0uKSkBcMl2gRLKyD/P5wV3E9pgbsgcjMjAUEVE+YKbDco/1d5pm1atNBS+SIn/2/4HP637mbfefRUNRYRBz5XXDeKDtz/kokt6nVA7eBKlvxzP+K7qvP78zuLux+fU1+uyMUQBuvVRz3nebqwcrLYCjRIMNKpZogubL03CyVJKMWLECEaPHk2PHj3YtWtXjToFBQWkpqa6HUtISMBoNFJQUOCq0759e7c6znMKCgrIysry2E5qaipWq5W//vqL9PT0Gn0/9dRTTJ06NYARCkLg6I1Grp/9jF/nBurG6I1Gr+sumv8hVquVc0+94Hj/ShERYaCosJiWCfEBWiMIQm2IXBheGtTJmjJlSr3Oydq1a1m5ciUlJSU8/PDDddb1tJ5DKeV2/MQ6zkXvvtapzsMPP8yECRNcj0tKSsjMzKzTVkEINpqm+STZVSdc902r1cpH7/6XR596mIsuvcDtubtuHst/3/+EEaOHh8kaQTgJEbkwrDSokzV27FhuvPHGOuu0b9+eJ598klWrVrnJfAA9evTg5ptvZv78+aSlpbF69Wq35wsLC7FYLK6ZqbS0NNeslpODBw8C1FvHYDCQlJTk0UaTyVTDNnCEbgZDbgqH7FedcG/I7Evf9SY29eK1Cocc4gt+Sy4qeHc7X6TGQHr9+svvKC4q5sbb/kZcfKzbc1dcPZBF8z9stE5WfVFgfr+PfryivvbVUIlAa+0jSBsre9OWN+0GfN/x4p5Z1+sajvuMC3GywkqDOlnJyckkJyfXW++ll17iySefdD3+888/GTBgAO+//z49e/YEICcnh2nTprF//36XpJebm4vJZKJ79+6uOpMnT6ayshJjlbyRm5tLRkaGS0bMycnh008/des/NzeXHj16eFyPJQiC97w//0Mu6NurhoMFcMVVA3jludfZvPEXup19egNYJwiCEFyaxJqstm3buj1u0aIFAB07dqRNmzYA9O/fn65duzJ8+HCee+45jhw5wqRJkxg1ahRxcXEADBs2jKlTpzJixAgmT57Mjh07mD59Oo899phLChw9ejSvvPIKEyZMYNSoUeTl5TFnzhzee++9MI5YEJonc//zZq3PdTv7dPLLdrgeV/9fEITgIGuywkuTcLK8Qa/X8/nnnzNmzBh69+5NVFQUw4YNY8aMGa468fHxLF26lLvvvpsePXqQkJDAhAkT3NZTZWVl8cUXX3Dffffx6quvkpGRwUsvvRRQ+oZA9yAMh+znb3/B2CvQl/bqm1b3RhZpDNGFwUBXlbFK0xSaH9eIUv7FI55smawckZuqKkFwHdGFfl4rjS660A97fJHsfO0juNKi57qByoHeLVOo69oRubC50iSdrPbt29fI0g6OGa/PPvusznO7devG999/X2edPn36sGHDhoBsFARBEATh5KZJOlmCIAiCIPiOphRaAEEzgZx7MiJOVgipvr9fIAQjUV2wJUAnwUhG6tZegHJgsKMLfW27KeGPxAj+y4xNHecefLXRqKMLQywB+tp+cJONBnE5Qi1t1X9f8kGy9GBDMJJWe43IhWGlyW0QLQiCIAiC0BSQmSxBEARBOEmQ6MLwIk5WCHEmLwzmvlT+So/BlgD9ajcIUl64owvd2m5kcmF1e/wR8Py9V/orMzZVnOPVoRqNHB2qJKD+9hHa6MLA9w30tq3a3oP65EBf5D5PNoQ1ilnkwrAicqEgCIIgCEIIkJksQRAEQThJELkwvIiTFUJ02NETeHShW5uNZD9CV7tBTuwZjuhCV1shjIgKBzrNDso59++7bZoPImPjGnn40ag/utBJuOXoxiAB+v5ZCn1EoMe6fkYJ1icH+jYeT3KhJCNtrohcKAhCWBl/54O0jj6N1tGn0Ta2C+ee1oeHxj1OUWGxq07Pzn1pHX0a69dscjv3sfuncf2AW8JssSA0H5wzWYEUwXvEyRIEIez07XchG//4kVVbv2PGa9NY+sW3TB4/xa1OZKSJ6f94rmEMFARBCAIiF4YQZ3RhMOXCcOxH6NZfEKL5vG3Lm/aCKQf6K/81lihDPc599fyNLvR+/L5Ii/W3BUaTkdS0VgC0bpPGVddfwQcLFrv1csvIG3n7rXf5dskyLh14sevc6n/Dhka9exc6CYfs529/oZMWfU2OGppo50CThnoTJegxOjDA9yCsSxFELgwr4mQJQjNBKQUWH+r71nrdT0doaJp/rs/unXv4bukPGAzut6PMdq0Z/v9u4qnHZ9K3/0XodDLxLgjBQCS/8CFOliA0Fyxge+pgg3StezgFjN47WV9/uYxTWp2F3WajosIMwJRnHq5Rb/yDY3j/nY/4eNEnXD/s6mCZKwiCEBbEyQohnqTCQBOThkr2q7W/IMqBQYkuDKI0Em5ZJ9hojUS2PI73r0uvPj15+sUplB8r5915/+GPHTu54++3nNCGIqlVAqPvvYPn/vkiQ66/vNrz4XwPHPqKcy/S+gi3DN0YJMBQRj37FsEcmBzo3V6sNev4+547xxbWfVGVqopKDuB8wWvEyRKE5kIE6B9OCUnT9d5WI3xrLzo6iqyO7QB4cuY/uH7gcGZNe4UHHh9fo+5d425n/pvvMf/Nd33rRBCEGkierPAiixwEoZmgaRqasYGKn+uxnEyYPJbZL/6bgj8P1HgupkUM4x8aw4vPzqa05GhA/QiCIIQTmckKIfqqZKTVCTTSMByyn7/9BSMyMJxyYFOMLrSr47+LnPY7ogu9H4vyIzYvFNF81dvsfVFPTutyCi8/9wbTn3+sRp3hI4fy1ivz+L8PP+fsc88Ma3ShM3pTj3fXTOOOLgxRUmI/l0F4F3HsS3RhYHKgv3Kw//dlu9vfsCDRhWFFZrIEQWgU3DXudhbO/YB9e/fXeC4iIoIHHrvXtUheEAT/0OyBF8F7ZCZLEISw8uKbT3s8fu0NV3LtDVcCsPa3b2s8f83QwVwzdHBIbRMEQQgm4mSFEI/RhUH8GdAYJEBf2g12ZFagcmAwZL9Ao0V9pppO5q/9vkiLTvyRGJsbWoijC6vT3CVAJ97IZN4kCHXVDVAO9Oa9CzThqae2whtdiMiFYUScLEEQBEE4SZDowvAiTpYgCIIgnCxInqywIgvfQ4i+aq+z6kWHClrx1L43JVR96OopelS9pTqBtlf/+YGX6vtThqO49Y1CqxLyfCn+oLn68q4Eo43GU6o+z15cv75ew8G4Nv29fuor9d3Lar+/eF/0mqq3uGzw6rWou7iNydP7F4Tx+XQ/ruW6aU489dRTnHvuucTGxpKSksLVV1/Ntm3b3OqMGDHCkYKmWjn//PPd6pjNZu655x6Sk5OJiYlhyJAh7N27161OYWEhw4cPJz4+nvj4eIYPH05RUVGoh1gn4mQJgiAIwkmCUy4MpPjC8uXLufvuu1m1ahVLly7FarXSv39/ysrK3OoNHDiQ/fv3u8oXX3zh9vz48eNZvHgxixYtYsWKFRw9epTBgwdjs9lcdYYNG8amTZtYsmQJS5YsYdOmTQwfPtzv1yoYiFwoCIIgCCcLYV74vmTJErfHc+fOJSUlhfXr13PRRRe5jptMJtLS0jy2UVxczJw5c3jnnXe47LLLAFiwYAGZmZl8/fXXDBgwgK1bt7JkyRJWrVpFz549AXjrrbfIyclh27ZtdOrUyTfDg4Q4WSHEKbl5IhjRJGGJLvQpyim40XyBJxutL9Io8Cn68EcXHp98dtnv489LTXkvGvr7CvkTwdjY8Xbvwur4e300xSjA4+2GxvZgR3Z6Gr930Y7BS3Ls7E8L930kCJSUlLg9NplMmEymes8rLi4GIDEx0e34smXLSElJoWXLlvTp04dp06aRkuLYJmz9+vVYLBb69+/vqp+RkUF2djYrV65kwIAB5OXlER8f73KwAM4//3zi4+NZuXJlgzlZIhcKgiAIwklCsOTCzMxM19qn+Ph4nnrqqXr7VkoxYcIELrjgArKzs13HL7/8chYuXMi3337LzJkzWbt2LZdccglmsyP5cEFBAUajkYSEBLf2UlNTKSgocNVxOmXVSUlJcdVpCGQmSxAEQRBOFoIUXZifn09cXJzrsDezWGPHjuXnn39mxYoVbsdvuOEG1//Z2dn06NGDdu3a8fnnn3PttdfWYYpy2zfV0x6qJ9YJN+JkhRBdVQSJx+eCIKf4vV9WECVAX9r1NYIm1HJgMKS+sCYRBDf97rjU4FvUoAqRtOjWhw91G3uaU+fekDqUz9eMv5K0SICe2g08Uahb3x7s9Ob8epcxNEHpzx/i4uLcnKz6uOeee/jkk0/4/vvvadOmTZ1109PTadeuHTt27AAgLS2NyspKCgsL3WazDh48SK9evVx1DhyoucH8oUOHSE1N9drOYCNyoSAIYWXcnQ+RFt2ZtOjOtI49nXNO68sD46ZQVFjsqtOj8yWkRncmNboz6S26ckaHCxk/+hG3OoIg+E64owuVUowdO5aPP/6Yb7/9lqysrHrPOXz4MPn5+aSnpwPQvXt3IiIiWLp0qavO/v372bJli8vJysnJobi4mDVr1rjqrF69muLiYledhkCcLEEQwk7ffhfy8x8/sHbrN8x67Z/kfvEdD46f6lbnwUfHsfmPH9iw7Ttem/scq35cxyOTpjWQxYLQTFBBKD5w9913s2DBAt59911iY2MpKCigoKCA8vJyAI4ePcqkSZPIy8tj165dLFu2jCuvvJLk5GSuueYaAOLj4xk5ciQTJ07km2++YePGjdxyyy1069bNFW3YpUsXBg4cyKhRo1i1ahWrVq1i1KhRDB48uMEWvYPIhSEl1NGFbn2FSAL0pY9gSouO9kIrBwb9PQiRTGCv9luous167F4nGa3+SoVKWqxOXTKjBphMRlLTWgHQuk0aV11/Oe8vWOz2MzkmNpqU9GQA0tukMPTmIfz3wy/Cv69HVX+e9iKtj3DIftVpjhKgq64X7fqzb6Cv9tTXhz/vXdiXHYSR119/HYCLL77Y7fjcuXMZMWIEer2ezZs38/bbb1NUVER6ejp9+/bl/fffJzY21lX/+eefx2AwMHToUMrLy7n00kuZN28eer3eVWfhwoWMGzfOFYU4ZMgQXnnlldAPsg7EyRKEZoJSCqvF5vk5f9v0sp4hQu/34tJdO/P5bukKDBERtdbZv+8AuV8s5+xzz/SrD0EQHIR770JVzyL7qKgovvrqq3rbiYyM5OWXX+bll1+utU5iYiILFizwzcAQI06WIDQTrBYbb8z6T4P0PWrC9UQYvb+dLP1yGVmtzsFus1FR4QjTnvrMg251nvzHTJ6e+pKrzjnnnsETJ9QRBMFH7MpRAjlf8BpxskKIvq7owiBPDwdbqvOnD99kAi+m/kMsBwZb3vNFfvEJVV+Eqp+LJYLIiZJlfTJj7z7n8exLj3PsWAUL5/6HP37fxf8bc4tbnbvvu4Mbhl8DSrFvbwHTH3uem68ZzSdfv+MmEYQa57h0Hvb0q49wyH7u/TUtCdDtvCB/XgNNGlpbf8FMRhrIOX4T5ozvJzviZAlCM8EQoeeuCdfV8mxoUzEYInxzeqKjo8nq2A6A6bMe4ZoBtzFj2qs89Pi9rjqJSQl0qKrT4ZT2/PO5h7ni4ptYsXw1fS5puGghQRAEbxEnSxCaCZqm1SHZhT7fVSBMeuRuhl11JyNG3URaRs2szYBr9qqi3BwmqwSh+aER4JqsoFlyciApHARBaHB6X3QenbqewovPvuE6dvRoGQcKDnFg/0E2rP2ZqZOfIyk5gXPPP6vhDBWEpo4z43sgRfAamckKIY6Q71p0/SDPETSOFA6+rPHwIntzGNdcBWM9Vcg2i9Y8/xZyvIYOu+tP4eBnKoYQ/m49seXR94zg3rsmc8/E/wfAM0+8zDNPOCKJklslclb3bD78bA5JSQmEE+d6Mz21r7GsjWCs+2vO66yqE+zUCIFmZq+tv2CuTT1+jjguzRVxsgRBCCsvv+V5I9nrbhzMdTcOBmD9tm9cx0WeEITgEe4UDic74mQJgiAIwsmCRBeGFXGyQoge5V0G4SCkcwiVBOjeR/DkQG/aCqccGGypL6gpOmox3Znx3Rv8nQ3yTWbUPPwXSsJ1t6/K+I4KSP7zV5JuDBJgeDLQB3mD+QDlx9r6C+ayiUDOEZoG4mQJgiAIwkmCphRaAIvXAzn3ZEScLEEQBEE4WbBXlUDOF7xGnKwQotPsXm6EHPgvA/+zuAc3ItDbdoO/2WtgcmBDZuD3hK2a4FabbVrVcQ2FVk9/yk8Bz6fNpBtosUa4pEmdpgKKQvVXEmrOEqBb3QCjAX3tOxhRgp7e00af8V0IK+JkCYIgCMJJgsiF4UWcLEEQBEE4WZDowrAiTlYICW90ob9SRGgSHQYjMjCYSRjrjwgK7p3DXynGhap/MwZfdgusT0506zoM0mJTw5WMNIAFKaHamN2tbhOTAENpQ6ByoFcR0B768C8ZaRgXOgWatV1msnxCttURBEEQBEEIATKTJQiCIAgnCZLxPbw0mZms9u3bo2maW3nooYfc6uzZs4crr7ySmJgYkpOTGTduHJWVlW51Nm/eTJ8+fYiKiqJ169Y88cQTqBOmP5cvX0737t2JjIykQ4cOzJ492y+btarowvqKU4YIpFTHsWeid8XfPvSavc6io+6ir4rUqqu4+vLCtvpfY1V3qWc8vpb6xl//6+NFH5rdta+ep+IvzmhFX4u3rPh+DclRXWstVw0YwZ7d+2p9ft3qnwIYnX9jBu8/z35fg0G4NqsT7OvNVXywvSFtCPy+618f/rzHunAudJINosNKk5rJeuKJJxg1apTrcYsWLVz/22w2Bg0aRKtWrVixYgWHDx/mtttuQynFyy87NpktKSmhX79+9O3bl7Vr17J9+3ZGjBhBTEwMEydOBGDnzp1cccUVjBo1igULFvDjjz8yZswYWrVqxXXXXRfeAQtCM+S888/il53Laxxf8vl3TLpnKnfceaPr2MdfzKFTl1Pc6iUmtQy1iYIgCEGhSTlZsbGxpKWleXwuNzeXX3/9lfz8fDIyMgCYOXMmI0aMYNq0acTFxbFw4UIqKiqYN28eJpOJ7Oxstm/fzqxZs5gwYQKapjF79mzatm3LCy+8AECXLl1Yt24dM2bMECdLaNQopbDbzccfh7Fvnc4EmnfzZ0ajkdS0Vm7Htv/2P6ZMnsF9D9zJVdcNZM/ufQAkJLasUVcQBP/R7I4SyPmC9zQpJ+uZZ57hn//8J5mZmfztb3/j/vvvx2g0ApCXl0d2drbLwQIYMGAAZrOZ9evX07dvX/Ly8ujTpw8mk8mtzsMPP8yuXbvIysoiLy+P/v37u/U7YMAA5syZg8ViISIiooZdZrMZs/n4l1tJSQngXzSSL9F+tRHMKMDaqH9fsODtFRiMhK7B3AfRF/yOMvTiMnDYrFzFbq/gp9VD/esvQM7o+SF6faRf5xYXlTB86D30vrAHkx+/x12i81GKDCV6wB6ALQFHnNI8owD9ssGre0I4kpHWd5/zbkxhTUYq0YVhpck4Wffeey/nnHMOCQkJrFmzhocffpidO3fyr3/9C4CCggJSU1PdzklISMBoNFJQUOCq0759e7c6znMKCgrIysry2E5qaipWq5W//vqL9PT0GrY99dRTTJ06NVhDFYSTBrvdzp0jHkCv1/H6v59BO2E27PK+t6DTuR/beWA1er0vCSwEQRAahgZ1sqZMmVKvc7J27Vp69OjBfffd5zp2xhlnkJCQwPXXX88zzzxDUlISQI0bNDgklOrHT6zjXPTua53qPPzww0yYMMH1uKSkhMzMzDrHJQjBRqczcWbPD6od8W/5uz+/U3U6U/2VPPDPx15g7eqfWPrDIuLiWtR4/l/vzOC0zh3cjomDJQgBIMlIw0qDOlljx47lxhtvrLPOiTNPTs4//3wAfv/9d5KSkkhLS2P16tVudQoLC7FYLK6ZqbS0NNeslpODBw8C1FvHYDC4nLkTMZlMbhKkE2cEny8EkuzQ1YYPU/T+ymThlAO9mUoPVA4MhpTjsV1/70jeSBWaAs2xFMpRNHS645Kd/7P64XHOFn/4Ja++MI9Fi1+j4yntPNZp3SaNDh09P9dQhFv287fv5igBHm83uHvCeurbq/tOvZKjdzYEY5mIt8i2OuGlQZ2s5ORkkpOT/Tp348aNAC75Licnh2nTprF//37XsdzcXEwmE927d3fVmTx5MpWVla61XLm5uWRkZLicuZycHD799FO3vnJzc+nRo4fH9ViCIPjO5p+2Mm70ozz2z/u4pN8FDW2OIAhCSGgSebLy8vJ4/vnn2bRpEzt37uSDDz7grrvuYsiQIbRt2xaA/v3707VrV4YPH87GjRv55ptvmDRpEqNGjSIuLg6AYcOGYTKZGDFiBFu2bGHx4sVMnz7dFVkIMHr0aHbv3s2ECRPYunUr//73v5kzZw6TJk1qsPELQnPi8F+FDB86jt4XncvfbhrMgYJDbuWvQ0dcdY8cKa7xfEWFuY7WBUGoE8mTFVaaxMJ3k8nE+++/z9SpUzGbzbRr145Ro0bxwAMPuOro9Xo+//xzxowZQ+/evYmKimLYsGHMmDHDVSc+Pp6lS5dy991306NHDxISEpgwYYLbeqqsrCy++OIL7rvvPl599VUyMjJ46aWX/Erf4E90YUNJEb7sEwiB7xXo3lZgkYEQuBwYqugeX98Le9XvHq/2vKzaZbB68tHqZ3mZUaEGJybnrRvNw391s3TJcvL3/En+nj/pmnVxjecz22bwae48AK69YmSN59+a/xzXDb3CBxsDw/n66mpJ+OkP/n7Om5oEWJ1g7BXojw3+Rgl6t+9sU4wuhIBWpYiP5RNNwsk655xzWLVqVb312rZty2effVZnnW7duvH999/XWadPnz5s2LDBJxsFQfCOm265mptuubreekfKfwm9MYJwkiFrssJLk5ALBUEQBEEQmhpNYiarqeJpP7H6CEZSTF+lP/A9qjEYEYGuukFIFBqoHBiqZKRuNnhzLfjw1h23+XhMthbQroVV+NCEb9JiU8Xx+jr32KtOOGS/6jQGCdCXpQDufQTPnmAuR6itjjcRf/XfV7yMLgy3XBhQMtKgWXJSIE6WIAiCIJwsSMb3sCJyoSAIgiAIQgiQmawQ4kle8AV/ZD/wL6GprxJAOOVAb2SPYMqBDZqY1JdEslV13aML/f2V6XuUoO+VmyZa1Qus1xTqhPcnHLKfW3/NWAKsTlCXI4QwSrA+mc/be7i/93q/sBPY51Y2iPYJcbIEQRAE4SRBogvDi8iFgiAIgiAIIUBmskKIXlMBTQMHuo9hsCNw3OoHcX/EYCQKDaYcGLLEpF5FF3r/u0cHaCfY6q8K4K/MGJRoxkaOKxkpqsa10aiTkTYxCdCXdn3rN3RRgvXv4doYk5HKwvdwIk6WIAiCIJwsiJMVVkQuFARBEARBCAEykxVCHPKC/5Kfv9P9ToIZAXgi4ZTngh0ZGMxEh77g1bXgg/rmHl3oGJPyU74Lp8z49//3CO8t+ARw7Dmant6K/pdfxGNPjKNlQryr3uq8Tcx4+g3WrP6JinIzHU9py03Dr2bMPbeg1+v9tNgfHGPUYUc1dDLSZiwB+m9D4JKdv1GC9d+7vCOsorvMZIUVmckSBCHsXNa/N9t2fcfP25bw0utTWfLFMiaOm+Z6/tP/+4ZB/W4no3Uqn371b9b89Amj776Fmc+8yR3D7z9JMs0LQgiwB6EIXiMzWYLQTFBKcSzMN0CnqxOlA03z/ve40WQkNS0ZgNZt0rjm+oG8+87/AVBWdox7x0zh8sEX8+JrU1zn3HrHdbRKTeKm6+5h8X++4tq/DQzWMAThpEFSOIQXcbJCiA47Oh++eE4k0IiTYEYABtJHoHJgsBMw1p/oMAz7GFaz01ZNLPClb+2EuuV2OGu1LXDj/GBTTz3RXip4Gu4JVHf+kc83uT8SEWFAA777Oo8jh4sYN/62GjLKFYMu5pRT2/PRB19wXZicLKcNOs1eI1lsMKLC/JEAfb1Gm5sE6Eu73uwL6G+UYH1SkN7L27+39YSmhzhZgiCEnSVffE9G0nnYbHYqKswATH/2fgB+37ELgNM6d/B47mmd2vP7jt1hsVMQmh2yJiusiJMlCM2EKB381NO/ZZb+Lpiv3rcvXNjnXGa9/Cjlx8p5e+7H/L5jN3eNGeZuUy03c6V8kyYFQaiGXUEg2/jYfTv3qaee4uOPP+a3334jKiqKXr168cwzz9CpUydXHaUUU6dO5c0336SwsJCePXvy6quvcvrpp7vqmM1mJk2axHvvvUd5eTmXXnopr732Gm3atHHVKSwsZNy4cXzyiSOwZsiQIbz88su0bNnS//EGiCx8DyH6quSFfhfNHlBx7p3oTfG7Hy/GEWjfvrymOs1eb9FTdwnqe+iFnYG0U93V0DSNaL1/JUaP18XT+b46PTExUXTs2Jbsbp14dtbDVJorefrJ1wE45dT2AGz/bafHc7dv20nHU9r61F+gaCj01LwequPNtefP9ei5+H+91W9PqK5574tP7dZTnEmh6yz19oHH4kSveS5u10c9pbmyfPly7r77blatWsXSpUuxWq3079+fsrIyV51nn32WWbNm8corr7B27VrS0tLo168fpaWlrjrjx49n8eLFLFq0iBUrVnD06FEGDx6MzXZ8icSwYcPYtGkTS5YsYcmSJWzatInhw4eHdbwnIjNZgiA0OA8+8neuv+rvjLzzBi65LIeExHhefnE+PXPOcqv3xWff8b/fd/PI42MbxlBBaOoESS4sKSlxO2wymTCZTDWqL1myxO3x3LlzSUlJYf369Vx00UUopXjhhRd45JFHuPbaawGYP38+qampvPvuu9x1110UFxczZ84c3nnnHS677DIAFixYQGZmJl9//TUDBgxg69atLFmyhFWrVtGzZ08A3nrrLXJycti2bZvbzFk4ac4OtCAITYQL+5xL564dmfnsW8TERPPCK4/xxaffMW7MFLZs3sbuXft4e+7H/H3UP7jq2n5ce/2AhjZZEJoo6rij5U+pmsHNzMwkPj7eVZ566imvei8uLgYgMTERgJ07d1JQUED//v1ddUwmE3369GHlypUArF+/HovF4lYnIyOD7OxsV528vDzi4+NdDhbA+eefT3x8vKtOQyAzWSHEIXcFvnakUe+P5oVtwdwrMBiRgcHsz1/cbPC7j+M3vECvMl9+1564X6K/nNjO2HHDGXPnY9w38Q6uubYfqSn/Ysaz/+KKy26nvLyCDh3bcv+Doxhzzy3oNF+tDsROB56iC6vjb1SqL9ejE1+vS1/68O3z4d97UF8f3kQEutoKSjLS+voI7HyHHf4911jJz88nLi7O9djTLNaJKKWYMGECF1xwAdnZ2QAUFBQAkJqa6lY3NTWV3bt3u+oYjUYSEhJq1HGeX1BQQEpKSo0+U1JSXHUaAnGyBEEIK7P/9aTH40NvHMTQGwe5Hve6oDsfX9A9XGYJwslBkOTCuLg4NyfLG8aOHcvPP//MihUrajx34rpOpVS9az1PrOOpvjfthBKRCwVBEAThZMGuAi9+cM899/DJJ5/w3XffuUUEpqWlAdSYbTp48KBrdistLY3KykoKCwvrrHPgwIEa/R46dKjGLFk4kZmsEOKIngvcgw77/mhh3ivQre8A5UCvpIEQJVv0F//7UCf89RXNw3/e93qyocNeIwFsdfz+vPmVjNS3vkIlAfp/j/Fvr8BAbahtViFQOdAbua+upSPBWFbSWFFKcc8997B48WKWLVtGVlaW2/NZWVmkpaWxdOlSzj77bAAqKytZvnw5zzzzDADdu3cnIiKCpUuXMnToUAD279/Pli1bePbZZwHIycmhuLiYNWvWcN555wGwevVqiouL6dWrV7iGWwNxsgRBEAThZEHZHSWQ833g7rvv5t133+X//u//iI2Ndc1YxcfHExUVhaZpjB8/nunTp3Pqqady6qmnMn36dKKjoxk2bJir7siRI5k4cSJJSUkkJiYyadIkunXr5oo27NKlCwMHDmTUqFG88cYbANx5550MHjy4wSILQZwsQRAEQTh5CHPG99dfd+S/u/jii92Oz507lxEjRgDwwAMPUF5ezpgxY1zJSHNzc4mNjXXVf/755zEYDAwdOtSVjHTevHno9cfnERcuXMi4ceNcUYhDhgzhlVde8WOQwUNTsp190CkpKSE+Pp6FG08nOlbvt9znJByyn1t/Yd4r0L29wORAb/oKVaRVuFHW1hiOPUFmuxRMJt/lhgC2iPX7zKaI2azI332Q8ugpKP2ftdbzNxLVn2vM13NCLQH6Eg0IwZUDfVlYXJssGKgc6I3cV1cfpaV2TulygOLiYp8Xk3uL83vpstajMejqjwSsDavdzNf7ZofU1uaELHwXBEEQBEEIASIXCoIgCMLJgmwQHVbEyQohzmSkgUpO/sp+J9ridd0gJ+v0JUljoHKgN7b7HwXWuG4utvqr1Im/op9qxBJqaHAkfdVQaHUmIw1NYk5P+HothloC9EX+g+BEBB7v2/t+/ZUF65MDfZIsPXzyPB0LGYoAnaygWXJSIHKhIAiCIAhCCJCZLEEQBEE4WRC5MKzITJYgCGHlrv/3KLGRZxIbeSYJLbrToW1fhlxxF2/PW4zd7i7H/bRpK8OHTaJD274kx5/LWdlXMvbvU9mxY1fDGC8ITR27PfAieI3MZIUQPQo9KihrqlxthmPT5yCmXPDVhkDXXHnXR/jWzoQSpR3fHNqfFR2B54n3//x+/Xsz+80nsNlsHDx4hKW5P/LgpGf5v8Vf88FHL2IwGPjyi+XcfONELuvXi3/PfYqsDm04dOgIiz9eypNTX+XtBc8FaIn39oLz/W8ca/5ClWndrY8Q2hOMtAt+tVVvX547q38tl/efCp2HPhpybz0htIiTJQjNBKUU5Rbvv+yC6TJGRWg+fVGYTEZS05IByGidyllnd+Hc87ox+PI7WfD2Jwy98XJG3/k4/QdewKIPXnCd1z6rDeeedwZFRSVBtF4QTiJELgwr4mQJQjOh3KLoMW1fg/S99pHWRBsD+zV+cd+edDujE5/83zckJsVz+K9C7ptwu8e6LVtKEkRB8AtxssKKOFkhRKvaIDrQjO/VCccmtMGWAH2xIVA5MJSSi69ZrUON3pVMIdCNohsPp3Vqz5bNO/jf73uqHmfVc0Z40HC8/1ojlKMbgwTo6+LecKRd8Nyvf6kY6pMDPUmAtdrQ0CkchLAiTpYgNBOiIjTWPZLhwxne39jr+7qNigjOl4RSCk1z/BUEIQTYvVtbWPf5greIkyUIzQRN03yU7ILnZAWLbb/tpH371pxyajsAtm/bSc/zzwxT74LQ/FHKjlL+qyuBnHsyIk5WCAlWxvfq+L8JbWiiEn2TIQOPzAqmHOiv/OdrdutQYSfQ6ELvx6GFQM44scVl363mly07GHvPLVx2WQ7JyQm8MGuu28J3J0VFJWFbl+W0U6cpNC/e+3DIfm79NQIJ0Bf5z+e2fbIjsMzs3sh2nqRBn6ILPVgR1lxKSgU2GyWzzD4hTpYgCGHHbK6koOAv7DYbBw4e4evcH5nx3Bwuv+Iibr7lSvR6Pa++/ji3DJvE364bx9/HDKNjx0wOHy7io49y2Zu/n/nvPNvQwxAEQagTcbIEQQg7S3N/pGP7SzEYDLRMiKVbt048N/NBbhk+BJ3O8bt+8JV9+XbZ28x4bg63j3iI0pIy2rRJo8/F5/LYlLENPAJBaKKoANdkyUyWT4iTFUKcyUir46/cd7zN0CcjrU4w5cBgJAr1Te6op60mnpTUroHV+cAXuUb5c0rwxvzmv57gzX89UWdvTs7p3pV3F82st15ocfSj9za6MMwydGOQAP2Vu7yRAuuTAH2xIxhRgp7a8CQBeoNzbL6MMWDsdgjke0jWZPmEbKsjCIIgCIIQAmQmSxAEQRBOFkQuDCviZIUQnaZqyG3+yn2eCNV+hP72EYzIwHDKgf5HgTUc1d9FnZ/RhcoPZaKRBFQ2CJqrKK+kwHDL0I1BAvQlAtDtPC9kMt/sCEwO9Cq60INF/sp9zrbCeU9RdjsqALlQUjj4hsiFgiAIgiAIIUBmsgShyWInuEvSBU8o5XiVvVn0LgiNHpELw4o4WSFEj73GNHrjSEwaouSFQZDngrkPW/3JSAPH1ySMAVN9SLoywIbVoiDSe0P8Slzq60lOO5vBlmwVFQqUBYP+SEiTkVanuUuATryxx6dEnwHKgd5ECdaf8NT7V1lXZY8unB8UuwpM/xcnyyfEyRKEJoqmlaDpf+bwX/HoDdHoQnifPhlvqwqoKFf8dagIzbgUTVfe0CYJgtDEECdLEJoomqaIjH6HY6XtyN+TSLOYNmpUKJSyoBmXEhH9YUMbIwjBQSkIJABLZrJ8QpysEBKKZKQnth/q8xpyr8BQy4HBkPrCHjlygs16w2HiWt6P3dYKbwUemx+Xja9Xrd1jwsamdnO2o9MVBjSD5XeSzmYuAbraDaIU6HN7fkYJ1icH+iL96TVd1V+vTwkYZVeoAORCJU6WTzQpJ+vzzz/niSee4OeffyYmJoaLLrqIjz/+2PX8nj17uPvuu/n222+Jiopi2LBhzJgxA6PR6KqzefNmxo4dy5o1a0hMTOSuu+7i0UcfRav24Vq+fDkTJkzgl19+ISMjgwceeIDRo0eHdayC4C2aZkVv2O/9CX7cI33/DvC0ia7cnAWhwVF2ApvJkhQOvtBknKyPPvqIUaNGMX36dC655BKUUmzevNn1vM1mY9CgQbRq1YoVK1Zw+PBhbrvtNpRSvPzyywCUlJTQr18/+vbty9q1a9m+fTsjRowgJiaGiRMnArBz506uuOIKRo0axYIFC/jxxx8ZM2YMrVq14rrrrmuQsQuCIAiC0PRoEk6W1Wrl3nvv5bnnnmPkyJGu4506dXL9n5uby6+//kp+fj4ZGRkAzJw5kxEjRjBt2jTi4uJYuHAhFRUVzJs3D5PJRHZ2Ntu3b2fWrFlMmDABTdOYPXs2bdu25YUXXgCgS5curFu3jhkzZtTqZJnNZsxms+txSUkJ4JAGa1uMHIxf9f7vRxii6MIg7xUYajkwKNGFQWgj7PgwLeWUFn1/rUIf2dkU8FcGEgnQv3Z9iezzNH5vzq9PDnRKgI0VkQvDS+O+GqrYsGED+/btQ6fTcfbZZ5Oens7ll1/OL7/84qqTl5dHdna2y8ECGDBgAGazmfXr17vq9OnTB5PJ5Fbnzz//ZNeuXa46/fv3d+t/wIABrFu3DovF4tG+p556ivj4eFfJzMwM1tAFQRAEIXgoe+BF8JomMZP1xx9/ADBlyhRmzZpF+/btmTlzJn369GH79u0kJiZSUFBAamqq23kJCQkYjUYKCgoAKCgooH379m51nOcUFBSQlZXlsZ3U1FSsVit//fUX6enpNex7+OGHmTBhgutxcXExbdu2pexo7RdjMBYBn+wzWfX9rm2OM1m2ILThyy3Sn0XyUP+yr5MlDlJmsupGC/pMlvd4nsmqn/pnsnwwooqSqu+KcMwSWbEElJPFiufJBsEzDepkTZkyhalTp9ZZZ+3atdjtjgvwkUcecUl2c+fOpU2bNnz44YfcddddgOcPrFLK7fiJdZwXta91qmMymdxmx5xy4VU5++ocmyAIgiA4KS0tJT4+PiRtG41G0tLSWFHwRcBtpaWluQWUCbXToE7W2LFjufHGG+us0759e0pLSwHo2rWr67jJZKJDhw7s2bMHcLzpq1evdju3sLAQi8XimplKS0tzzWo5OXjwIEC9dQwGA0lJSV6NKyMjg/z8fJRStG3blvz8fOLi4rw6t6lQUlJCZmamjK2J0ZzHBs17fDK2pok3Y1NKUVpa6rbcJdhERkayc+dOKisrA27LaDQSGRkZBKuaPw3qZCUnJ5OcnFxvve7du2Mymdi2bRsXXHABABaLhV27dtGuXTsAcnJymDZtGvv373dJerm5uZhMJrp37+6qM3nyZCorK11eeG5uLhkZGS4ZMScnh08//dSt/9zcXHr06EFERIRX49LpdLRp08Y1oxUXF9fsbhxOZGxNk+Y8Nmje45OxNU3qG1uoZrCqExkZKc5RmGkSC9/j4uIYPXo0jz/+OLm5uWzbto2///3vAPztb38DoH///nTt2pXhw4ezceNGvvnmGyZNmsSoUaNcF/awYcMwmUyMGDGCLVu2sHjxYqZPn+6KLAQYPXo0u3fvZsKECWzdupV///vfzJkzh0mTJjXM4AVBEARBaJI0iYXvAM899xwGg4Hhw4dTXl5Oz549+fbbb0lISABAr9fz+eefM2bMGHr37u2WjNRJfHw8S5cu5e6776ZHjx4kJCQwYcIEt0XrWVlZfPHFF9x33328+uqrZGRk8NJLL0mOLEEQBEEQfKLJOFkRERHMmDHDzWk6kbZt2/LZZ5/V2U63bt34/vvv66zTp08fNmzY4Jed1TGZTDz++ONui+KbCzK2pklzHhs07/HJ2JomzXlsQv1oSjKLCYIgCIIgBJ0msSZLEARBEAShqSFOliAIgiAIQggQJ0sQBEEQBCEEiJMlCIIgCIIQAsTJChGvvfYaWVlZREZG0r17d3744YeGNsmNp556inPPPZfY2FhSUlK4+uqr2bZtm1sdpRRTpkwhIyODqKgoLr74YrdNuQHMZjP33HMPycnJxMTEMGTIEPbu3etWp7CwkOHDh7s20B4+fDhFRUWhHqKLp556Ck3TGD9+vOtYUx/bvn37uOWWW0hKSiI6OpqzzjrLtRF6Ux6f1WrlH//4B1lZWURFRdGhQweeeOIJ19ZaTWls33//PVdeeSUZGRlomsZ///tft+fDOY49e/Zw5ZVXEhMTQ3JyMuPGjQso83ddY7NYLDz44IN069aNmJgYMjIyuPXWW/nzzz+b/NhO5K677kLTNF544YUmMTahAVBC0Fm0aJGKiIhQb731lvr111/Vvffeq2JiYtTu3bsb2jQXAwYMUHPnzlVbtmxRmzZtUoMGDVJt27ZVR48eddV5+umnVWxsrProo4/U5s2b1Q033KDS09NVSUmJq87o0aNV69at1dKlS9WGDRtU37591ZlnnqmsVqurzsCBA1V2drZauXKlWrlypcrOzlaDBw8OyzjXrFmj2rdvr8444wx17733NouxHTlyRLVr106NGDFCrV69Wu3cuVN9/fXX6vfff2/y43vyySdVUlKS+uyzz9TOnTvVhx9+qFq0aKFeeOGFJje2L774Qj3yyCPqo48+UoBavHix2/PhGofValXZ2dmqb9++asOGDWrp0qUqIyNDjR07NiRjKyoqUpdddpl6//331W+//aby8vJUz549Vffu3d3aaIpjq87ixYvVmWeeqTIyMtTzzz/fJMYmhB9xskLAeeedp0aPHu12rHPnzuqhhx5qIIvq5+DBgwpQy5cvV0opZbfbVVpamnr66adddSoqKlR8fLyaPXu2UspxM42IiFCLFi1y1dm3b5/S6XRqyZIlSimlfv31VwWoVatWuerk5eUpQP32228hHVNpaak69dRT1dKlS1WfPn1cTlZTH9uDDz6oLrjgglqfb8rjGzRokLrjjjvcjl177bXqlltuadJjO/HLOpzj+OKLL5ROp1P79u1z1XnvvfeUyWRSxcXFQR+bJ9asWaMA1w/Npj62vXv3qtatW6stW7aodu3auTlZTWVsQngQuTDIVFZWsn79evr37+92vH///qxcubKBrKqf4uJiABITEwHYuXMnBQUFbuMwmUz06dPHNY7169djsVjc6mRkZJCdne2qk5eXR3x8PD179nTVOf/884mPjw/563H33XczaNAgLrvsMrfjTX1sn3zyCT169OBvf/sbKSkpnH322bz11lvNYnwXXHAB33zzDdu3bwfgp59+YsWKFVxxxRVNfmzVCec48vLyyM7Odtt8eMCAAZjNZjeJOZQUFxejaRotW7YEmvbY7HY7w4cP5/777+f000+v8XxTHpsQfJpMxvemwl9//YXNZiM1NdXteGpqKgUFBQ1kVd0opZgwYQIXXHAB2dnZAC5bPY1j9+7drjpGo9G1tVH1Os7zCwoKSElJqdFnSkpKSF+PRYsWsWHDBtauXVvjuaY+tj/++IPXX3+dCRMmMHnyZNasWcO4ceMwmUzceuutTXp8Dz74IMXFxXTu3Bm9Xo/NZmPatGncdNNNLpucdp5od2MfW3XCOY6CgoIa/SQkJGA0GsMy1oqKCh566CGGDRvm2ke2KY/tmWeewWAwMG7cOI/PN+WxCcFHnKwQ4dxw2olSqsaxxsLYsWP5+eefWbFiRY3n/BnHiXU81Q/l65Gfn8+9995Lbm5unTvON8WxgeOXdI8ePZg+fToAZ599Nr/88guvv/46t956a622NYXxvf/++yxYsIB3332X008/nU2bNjF+/HgyMjK47bbbarWrKYzNE+EaR0ON1WKxcOONN2K323nttdfqrd/Yx7Z+/XpefPFFNmzY4HP7jX1sQmgQuTDIJCcno9fra/zSOHjwYI1fJY2Be+65h08++YTvvvuONm3auI6npaUB1DmOtLQ0KisrKSwsrLPOgQMHavR76NChkL0e69ev5+DBg3Tv3h2DwYDBYGD58uW89NJLGAwGV79NcWwA6enpdO3a1e1Yly5d2LNnj8suaJrju//++3nooYe48cYb6datG8OHD+e+++7jqaeectkETXNs1QnnONLS0mr0U1hYiMViCelYLRYLQ4cOZefOnSxdutQ1i+W0qSmO7YcffuDgwYO0bdvWdW/ZvXs3EydOpH379k16bEJoECcryBiNRrp3787SpUvdji9dupRevXo1kFU1UUoxduxYPv74Y7799luysrLcns/KyiItLc1tHJWVlSxfvtw1ju7duxMREeFWZ//+/WzZssVVJycnh+LiYtasWeOqs3r1aoqLi0P2elx66aVs3ryZTZs2uUqPHj24+eab2bRpEx06dGiyYwPo3bt3jXQb27dvp127dkDTfu+OHTuGTud+W9Lr9a4UDk15bNUJ5zhycnLYsmUL+/fvd9XJzc3FZDLRvXv3kIzP6WDt2LGDr7/+mqSkJLfnm+rYhg8fzs8//+x2b8nIyOD+++/nq6++atJjE0JE2JbYn0Q4UzjMmTNH/frrr2r8+PEqJiZG7dq1q6FNc/H3v/9dxcfHq2XLlqn9+/e7yrFjx1x1nn76aRUfH68+/vhjtXnzZnXTTTd5DDFv06aN+vrrr9WGDRvUJZdc4jFU+YwzzlB5eXkqLy9PdevWLWwpHJxUjy5UqmmPbc2aNcpgMKhp06apHTt2qIULF6ro6Gi1YMGCJj++2267TbVu3dqVwuHjjz9WycnJ6oEHHmhyYystLVUbN25UGzduVICaNWuW2rhxoyvCLlzjcKYCuPTSS9WGDRvU119/rdq0aRNQKoC6xmaxWNSQIUNUmzZt1KZNm9zuL2azuUmPzRMnRhc25rEJ4UecrBDx6quvqnbt2imj0ajOOeccV2qExgLgscydO9dVx263q8cff1ylpaUpk8mkLrroIrV582a3dsrLy9XYsWNVYmKiioqKUoMHD1Z79uxxq3P48GF18803q9jYWBUbG6tuvvlmVVhYGIZRHudEJ6upj+3TTz9V2dnZymQyqc6dO6s333zT7fmmOr6SkhJ17733qrZt26rIyEjVoUMH9cgjj7h9OTeVsX333XceP2O33XZb2Mexe/duNWjQIBUVFaUSExPV2LFjVUVFRUjGtnPnzlrvL999912THpsnPDlZjXVsQvjRlFIqHDNmgiAIgiAIJxOyJksQBEEQBCEEiJMlCIIgCIIQAsTJEgRBEARBCAHiZAmCIAiCIIQAcbIEQRAEQRBCgDhZgiAIgiAIIUCcLEEQBEEQhBAgTpYgCIIgCEIIECdLEASvuPjiixk/frxXdXft2oWmaWzatAmAZcuWoWkaRUVFIbNPEAShsWFoaAMEQWgafPzxx0RERPh1bq9evdi/fz/x8fFBtkoQBKHxIk6WIAhekZiY6Pe5RqORtLS0IFojCILQ+BG5UBAEr6guF7Zv357p06dzxx13EBsbS9u2bXnzzTdrPfdEuXDevHm0bNmSr776ii5dutCiRQsGDhzI/v373c6bO3cuXbp0ITIyks6dO/Paa6+FaniCIAhBR5wsQRD8YubMmfTo0YONGzcyZswY/v73v/Pbb795ff6xY8eYMWMG77zzDt9//z179uxh0qRJruffeustHnnkEaZNm8bWrVuZPn06jz76KPPnzw/FcARBEIKOOFmCIPjFFVdcwZgxYzjllFN48MEHSU5OZtmyZV6fb7FYmD17Nj169OCcc85h7NixfPPNN67n//nPfzJz5kyuvfZasrKyuPbaa7nvvvt44403QjAaQRCE4CNrsgRB8IszzjjD9b+maaSlpXHw4EGvz4+OjqZjx46ux+np6a7zDx06RH5+PiNHjmTUqFGuOlarVRbPC4LQZBAnSxAEvzgx0lDTNOx2e0DnK6UAXO289dZb9OzZ062eXq/3x1xBEISwI06WIAiNjtTUVFq3bs0ff/zBzTff3NDmCIIg+IU4WYIgNEqmTJnCuHHjiIuL4/LLL8dsNrNu3ToKCwuZMGFCQ5snCIJQL+JkCYLQKPl//+//ER0dzXPPPccDDzxATEwM3bp18zrrvCAIQkOjKeciCEEQBEEQBCFoSAoHQRAEQRCEECBOliAIgiAIQggQJ0sQBEEQBCEEiJMlCIIgCIIQAsTJEgRBEARBCAHiZAmCIAiCIIQAcbIEQRAEQRBCgDhZgiAIgiAIIUCcLEEQBEEQhBAgTpYgCIIgCEIIECdLEARBEAQhBPx/uzlDDM6jLc0AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax=plt.subplots(ncols=1)\n",
    "model_RD_line[\"Vinst\"].reset_coords(drop=True).plot.imshow(x=\"inline\",y=\"z\",ax=ax)\n",
    "model_RD_line[\"depth\"].dropna(\"unit\").reset_coords(drop=True).plot.line(x=\"inline\",ax=ax);"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "dv_smp",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.0"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "9c9bd9c4de81103b965089d6e075c933d947ac549c706f66893dc9fd9969c37e"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}