{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "1add2279",
   "metadata": {},
   "source": [
    "# Read clutter map"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "406507c1",
   "metadata": {},
   "source": [
    "Before we can use the ```fuzzy_echo_classification``` we have to prepare a clutter map (cmap). The clutter map is processed by summing up the reflectivities over a period of 3 months for each elevation angle. Here we plot a clutter map, which was generated with the ```clutter_chain```. You can read a clutter map for selected time period and elevation angle with the function ```get_cmap```. We have to import the following packages:\n",
    "\n",
    "```python\n",
    "\n",
    "import wrainfo as wrf\n",
    "\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "5c8852c7",
   "metadata": {},
   "outputs": [],
   "source": [
    "import wradlib as wrl\n",
    "import datetime as dt\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e7b8358c",
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:          (azimuth: 720, range: 936)\n",
       "Coordinates:\n",
       "  * azimuth          (azimuth) float64 0.25 0.75 1.25 1.75 ... 358.8 359.2 359.8\n",
       "  * range            (range) float32 37.5 112.5 187.5 ... 7.009e+04 7.016e+04\n",
       "    elevation        (azimuth) float64 0.5 0.5 0.5 0.5 0.5 ... 0.5 0.5 0.5 0.5\n",
       "    sweep_mode       &lt;U20 &#x27;azimuth_surveillance&#x27;\n",
       "    longitude        float64 13.24\n",
       "    latitude         float64 53.55\n",
       "    altitude         float64 38.0\n",
       "    rtime            (azimuth) datetime64[ns] 2022-01-17T07:20:28.980652544 ....\n",
       "Data variables:\n",
       "    DBZH_sum_bool    (azimuth, range) bool ...\n",
       "    DBZH_sum_values  (azimuth, range) float32 ...</pre><div class='xr-wrap' hidden><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-79d06d3a-82cc-4605-b489-ac668022687c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-79d06d3a-82cc-4605-b489-ac668022687c' 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'>azimuth</span>: 720</li><li><span class='xr-has-index'>range</span>: 936</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-01ae7f65-3326-4444-83fb-c2b944621a9c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-01ae7f65-3326-4444-83fb-c2b944621a9c' class='xr-section-summary' >Coordinates: <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 class='xr-has-index'>azimuth</span></div><div class='xr-var-dims'>(azimuth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.25 0.75 1.25 ... 359.2 359.8</div><input id='attrs-795e21e5-a03e-48b2-b857-35cdfdd543c7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-795e21e5-a03e-48b2-b857-35cdfdd543c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-449fb508-2aa6-483f-97ac-7063008fd976' class='xr-var-data-in' type='checkbox'><label for='data-449fb508-2aa6-483f-97ac-7063008fd976' 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([2.5000e-01, 7.5000e-01, 1.2500e+00, ..., 3.5875e+02, 3.5925e+02,\n",
       "       3.5975e+02])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range</span></div><div class='xr-var-dims'>(range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>37.5 112.5 ... 7.009e+04 7.016e+04</div><input id='attrs-5a6dfe8e-937c-4092-902b-cb1e3c3127bd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5a6dfe8e-937c-4092-902b-cb1e3c3127bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-82475cb4-abd5-4f93-87cf-724b24c5fa5c' class='xr-var-data-in' type='checkbox'><label for='data-82475cb4-abd5-4f93-87cf-724b24c5fa5c' 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([3.75000e+01, 1.12500e+02, 1.87500e+02, ..., 7.00125e+04, 7.00875e+04,\n",
       "       7.01625e+04], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>elevation</span></div><div class='xr-var-dims'>(azimuth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-37526762-7843-4caa-9c50-5a08ac4f26a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-37526762-7843-4caa-9c50-5a08ac4f26a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-751bd74b-2d92-4101-9c45-5bc28c030b72' class='xr-var-data-in' type='checkbox'><label for='data-751bd74b-2d92-4101-9c45-5bc28c030b72' 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>standard_name :</span></dt><dd>ray_elevation_angle</dd><dt><span>long_name :</span></dt><dd>elevation_angle_from_horizontal_plane</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>axis :</span></dt><dd>radial_elevation_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([0.5, 0.5, 0.5, ..., 0.5, 0.5, 0.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sweep_mode</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-88d1b1dd-e535-4036-9b14-13808808b7d9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-88d1b1dd-e535-4036-9b14-13808808b7d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d9b8cce-5d16-41e6-87cf-02031e5a0ddb' class='xr-var-data-in' type='checkbox'><label for='data-9d9b8cce-5d16-41e6-87cf-02031e5a0ddb' 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;azimuth_surveillance&#x27;, dtype=&#x27;&lt;U20&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-26ef7097-b5ed-49df-b975-ea504c2e38bf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-26ef7097-b5ed-49df-b975-ea504c2e38bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b743868e-9fa2-4a77-af3a-e9122e986746' class='xr-var-data-in' type='checkbox'><label for='data-b743868e-9fa2-4a77-af3a-e9122e986746' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array(13.24397)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2fce9a6f-5e4f-4885-be6f-cffc18aec3d1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2fce9a6f-5e4f-4885-be6f-cffc18aec3d1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-93f2bf48-591e-4931-bb81-79ad9b27d4ae' class='xr-var-data-in' type='checkbox'><label for='data-93f2bf48-591e-4931-bb81-79ad9b27d4ae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array(53.55478)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>altitude</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-50f387ed-af7b-43e1-8b05-11e3a180ab5e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-50f387ed-af7b-43e1-8b05-11e3a180ab5e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-85eb2f3b-af6f-4ccc-b639-be4677d595c1' class='xr-var-data-in' type='checkbox'><label for='data-85eb2f3b-af6f-4ccc-b639-be4677d595c1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>altitude</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>standard_name :</span></dt><dd>altitude</dd></dl></div><div class='xr-var-data'><pre>array(38.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rtime</span></div><div class='xr-var-dims'>(azimuth)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-011fad2d-7f15-4ad1-aabf-f5ea16f45ebc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-011fad2d-7f15-4ad1-aabf-f5ea16f45ebc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d38ab0f-f9b7-4b50-b80b-7bb5687d504f' class='xr-var-data-in' type='checkbox'><label for='data-4d38ab0f-f9b7-4b50-b80b-7bb5687d504f' 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>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-01-17T07:20:28.980652544&#x27;, &#x27;2022-01-17T07:20:01.019417600&#x27;,\n",
       "       &#x27;2022-01-17T07:20:01.058252544&#x27;, ..., &#x27;2022-01-17T07:20:28.864147456&#x27;,\n",
       "       &#x27;2022-01-17T07:20:28.902982400&#x27;, &#x27;2022-01-17T07:20:28.941817600&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-95e437a0-9c9e-4239-b92f-cf95cd8fbcf9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-95e437a0-9c9e-4239-b92f-cf95cd8fbcf9' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>DBZH_sum_bool</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>bool</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f4fc22f9-7c07-4799-9022-04e94e648964' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f4fc22f9-7c07-4799-9022-04e94e648964' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe9879f6-fac6-4fb3-8814-2b648b64207d' class='xr-var-data-in' type='checkbox'><label for='data-fe9879f6-fac6-4fb3-8814-2b648b64207d' 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>[673920 values with dtype=bool]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DBZH_sum_values</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c5b4d8ef-a38c-4246-bed6-0a2746beec2e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c5b4d8ef-a38c-4246-bed6-0a2746beec2e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e8079ff-4e39-4fce-bfdc-c714dea3dd6d' class='xr-var-data-in' type='checkbox'><label for='data-7e8079ff-4e39-4fce-bfdc-c714dea3dd6d' 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>[673920 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2bab4ea1-d8a3-449b-959e-2b366eeb5f8c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2bab4ea1-d8a3-449b-959e-2b366eeb5f8c' 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:          (azimuth: 720, range: 936)\n",
       "Coordinates:\n",
       "  * azimuth          (azimuth) float64 0.25 0.75 1.25 1.75 ... 358.8 359.2 359.8\n",
       "  * range            (range) float32 37.5 112.5 187.5 ... 7.009e+04 7.016e+04\n",
       "    elevation        (azimuth) float64 ...\n",
       "    sweep_mode       object ...\n",
       "    longitude        float64 ...\n",
       "    latitude         float64 ...\n",
       "    altitude         float64 ...\n",
       "    rtime            (azimuth) datetime64[ns] ...\n",
       "Data variables:\n",
       "    DBZH_sum_bool    (azimuth, range) bool ...\n",
       "    DBZH_sum_values  (azimuth, range) float32 ..."
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "path_to_config_file=\"/tests/data/test_settings_wrainfo.json\"\n",
    "\n",
    "cmap_static=wrf.reader.get_cmap(starttime=dt.datetime(2022,11,6),\n",
    "                                endtime=dt.datetime(2022,1,13),\n",
    "                                path=path_to_config_file,\n",
    "                                elev=\"0.5\",\n",
    "                                timestr='%Y%m%d')\n",
    "display(cmap_static)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "25205a05",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-info\">\n",
    "\n",
    "**Seealso** <br>\n",
    "\n",
    "Get more information about the ```clutter_chain``` in the [library reference section](https://fernlab.git-pages.gfz-potsdam.de/products/furuno/wrainfo/doc/wrainfo.html#module-wrainfo.process_chains) or in the [process chain module](https://fernlab.git-pages.gfz-potsdam.de/products/furuno/wrainfo/doc/jupyter_notebooks/clutter_chain.html).\n",
    "\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d4cbcd1a",
   "metadata": {},
   "source": [
    "The clutter map has two data variables. The first is a boolean data array and the second is a data array of absolute summarised values. We plot the boolean data array of the clutter map."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "0f8db15c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x1454f82ec8e0>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# georeferenced cmap for the plot\n",
    "cmap_static_georef = cmap_static.pipe(wrl.georef.georeference_dataset)\n",
    "\n",
    "# plot cmap\n",
    "cmap_static_georef.DBZH_sum_bool.plot(x=\"x\", y=\"y\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c88a82e6",
   "metadata": {},
   "source": [
    "# Fuzzy echo classification"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4e970247",
   "metadata": {},
   "source": [
    "The fuzzy echo classification and clutter identification are based on polarimetric moments and on a processed clutter map. The basic function is from  $\\omega radlib$. The function contains a weights of all polarimetric moments and of the clutter map. For the weights the default values are used. If we use the function, then the dataset includes a new variable called \"FUZZ\"."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "87c2f010",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-info\">\n",
    "\n",
    "**Seealso** <br>\n",
    "\n",
    "You can find a detailed description of the function [here](https://docs.wradlib.org/en/stable/generated/wradlib.clutter.classify_echo_fuzzy.html).\n",
    "\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "facc2a99",
   "metadata": {},
   "source": [
    "At first, we have to read raw data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "8bf45033",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  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:     (azimuth: 720, range: 936)\n",
       "Coordinates:\n",
       "  * azimuth     (azimuth) float64 0.25 0.75 1.25 1.75 ... 358.8 359.2 359.8\n",
       "    elevation   (azimuth) float64 0.5 0.5 0.5 0.5 0.5 ... 0.5 0.5 0.5 0.5 0.5\n",
       "    rtime       (azimuth) datetime64[ns] 2022-02-16T13:45:28.941817600 ... 20...\n",
       "  * range       (range) float32 37.5 112.5 187.5 ... 7.009e+04 7.016e+04\n",
       "    time        datetime64[ns] 2022-02-16T13:45:01\n",
       "    sweep_mode  &lt;U20 &#x27;azimuth_surveillance&#x27;\n",
       "    longitude   float64 13.24\n",
       "    latitude    float64 53.55\n",
       "    altitude    float64 38.0\n",
       "Data variables:\n",
       "    RATE        (azimuth, range) float32 ...\n",
       "    DBZH        (azimuth, range) float32 ...\n",
       "    VRAD        (azimuth, range) float32 ...\n",
       "    ZDR         (azimuth, range) float32 ...\n",
       "    KDP         (azimuth, range) float32 ...\n",
       "    PHIDP       (azimuth, range) float32 ...\n",
       "    RHOHV       (azimuth, range) float32 ...\n",
       "    WRAD        (azimuth, range) float32 ...\n",
       "    QC_INFO     (azimuth, range) float32 ...\n",
       "Attributes:\n",
       "    fixed_angle:  0.5</pre><div class='xr-wrap' hidden><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-13c8dd26-36e7-4321-9235-9a340e58a55b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-13c8dd26-36e7-4321-9235-9a340e58a55b' 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'>azimuth</span>: 720</li><li><span class='xr-has-index'>range</span>: 936</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-fa961466-480e-4859-9fc5-fa32ca3fdfef' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fa961466-480e-4859-9fc5-fa32ca3fdfef' class='xr-section-summary' >Coordinates: <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 class='xr-has-index'>azimuth</span></div><div class='xr-var-dims'>(azimuth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.25 0.75 1.25 ... 359.2 359.8</div><input id='attrs-bd78e8a8-c434-40b1-9157-4860306c1302' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bd78e8a8-c434-40b1-9157-4860306c1302' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c114712-10b4-4901-82db-dac3224f531a' class='xr-var-data-in' type='checkbox'><label for='data-3c114712-10b4-4901-82db-dac3224f531a' 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>standard_name :</span></dt><dd>ray_azimuth_angle</dd><dt><span>long_name :</span></dt><dd>azimuth_angle_from_true_north</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>axis :</span></dt><dd>radial_azimuth_coordinate</dd><dt><span>a1gate :</span></dt><dd>1</dd><dt><span>angle_res :</span></dt><dd>0.5</dd></dl></div><div class='xr-var-data'><pre>array([2.5000e-01, 7.5000e-01, 1.2500e+00, ..., 3.5875e+02, 3.5925e+02,\n",
       "       3.5975e+02])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>elevation</span></div><div class='xr-var-dims'>(azimuth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-77a49cba-06a2-4a69-a829-bc1cdd463948' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-77a49cba-06a2-4a69-a829-bc1cdd463948' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c19d6ef0-4733-4483-b208-97236782b88b' class='xr-var-data-in' type='checkbox'><label for='data-c19d6ef0-4733-4483-b208-97236782b88b' 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>standard_name :</span></dt><dd>ray_elevation_angle</dd><dt><span>long_name :</span></dt><dd>elevation_angle_from_horizontal_plane</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>axis :</span></dt><dd>radial_elevation_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([0.5, 0.5, 0.5, ..., 0.5, 0.5, 0.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rtime</span></div><div class='xr-var-dims'>(azimuth)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f5bd23a1-312d-44d3-902a-083f615d5b0a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f5bd23a1-312d-44d3-902a-083f615d5b0a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49441b2e-4a91-4d89-a28e-9c1eadb991fe' class='xr-var-data-in' type='checkbox'><label for='data-49441b2e-4a91-4d89-a28e-9c1eadb991fe' 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>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-02-16T13:45:28.941817600&#x27;, &#x27;2022-02-16T13:45:28.980652544&#x27;,\n",
       "       &#x27;2022-02-16T13:45:01.019417600&#x27;, ..., &#x27;2022-02-16T13:45:28.825312256&#x27;,\n",
       "       &#x27;2022-02-16T13:45:28.864147456&#x27;, &#x27;2022-02-16T13:45:28.902982400&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range</span></div><div class='xr-var-dims'>(range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>37.5 112.5 ... 7.009e+04 7.016e+04</div><input id='attrs-59e417c4-fb30-47f7-ab79-3f92cf989546' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-59e417c4-fb30-47f7-ab79-3f92cf989546' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d28f8738-907d-46f6-a22f-e91a08e61c61' class='xr-var-data-in' type='checkbox'><label for='data-d28f8738-907d-46f6-a22f-e91a08e61c61' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meters</dd><dt><span>standard_name :</span></dt><dd>projection_range_coordinate</dd><dt><span>long_name :</span></dt><dd>range_to_measurement_volume</dd><dt><span>spacing_is_constant :</span></dt><dd>true</dd><dt><span>axis :</span></dt><dd>radial_range_coordinate</dd><dt><span>meters_to_center_of_first_gate :</span></dt><dd>37.5</dd><dt><span>meters_between_gates :</span></dt><dd>75.0</dd></dl></div><div class='xr-var-data'><pre>array([3.75000e+01, 1.12500e+02, 1.87500e+02, ..., 7.00125e+04, 7.00875e+04,\n",
       "       7.01625e+04], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-88a12b21-d2e4-4a4b-9fd0-2321fb991de7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-88a12b21-d2e4-4a4b-9fd0-2321fb991de7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-103e1fd6-94ca-4034-bbc8-e5e00833f8d8' class='xr-var-data-in' type='checkbox'><label for='data-103e1fd6-94ca-4034-bbc8-e5e00833f8d8' 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>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2022-02-16T13:45:01.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sweep_mode</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U20</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-129e4e30-900d-4f76-80cd-81e5dce8162b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-129e4e30-900d-4f76-80cd-81e5dce8162b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-48f89523-a240-4af7-99c9-346d990bc082' class='xr-var-data-in' type='checkbox'><label for='data-48f89523-a240-4af7-99c9-346d990bc082' 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;azimuth_surveillance&#x27;, dtype=&#x27;&lt;U20&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c783b7b0-4113-4ea9-a701-98db386b53e9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c783b7b0-4113-4ea9-a701-98db386b53e9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-11768627-51dd-4c1f-9f96-07c301d9d74a' class='xr-var-data-in' type='checkbox'><label for='data-11768627-51dd-4c1f-9f96-07c301d9d74a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array(13.24397)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c94d69b8-bcc0-4c27-adc7-cb3acecf349c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c94d69b8-bcc0-4c27-adc7-cb3acecf349c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7162f37d-44f2-42cb-b82a-b8445791e293' class='xr-var-data-in' type='checkbox'><label for='data-7162f37d-44f2-42cb-b82a-b8445791e293' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array(53.55478)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>altitude</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e34de4ef-7eb3-41e1-9cf8-2eca232f9d3f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e34de4ef-7eb3-41e1-9cf8-2eca232f9d3f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a64df776-7220-4e12-84d5-bce6f46ac5e7' class='xr-var-data-in' type='checkbox'><label for='data-a64df776-7220-4e12-84d5-bce6f46ac5e7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>altitude</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>standard_name :</span></dt><dd>altitude</dd></dl></div><div class='xr-var-data'><pre>array(38.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cba75596-f613-4e48-abc4-35021de99d94' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cba75596-f613-4e48-abc4-35021de99d94' 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>RATE</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cc4ca271-bee6-41f5-b7ba-a6ef0b02c539' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cc4ca271-bee6-41f5-b7ba-a6ef0b02c539' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52b689ed-0e56-4cd5-b865-fbbbf110359c' class='xr-var-data-in' type='checkbox'><label for='data-52b689ed-0e56-4cd5-b865-fbbbf110359c' 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>_Undetect :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>rainfall_rate</dd><dt><span>units :</span></dt><dd>mm h-1</dd><dt><span>standard_name :</span></dt><dd>rainfall_rate</dd></dl></div><div class='xr-var-data'><pre>[673920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DBZH</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b45ad283-8528-4cee-8c90-bb86c10aa6da' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b45ad283-8528-4cee-8c90-bb86c10aa6da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c294393d-9c36-493c-aabd-40f0f326dd63' class='xr-var-data-in' type='checkbox'><label for='data-c294393d-9c36-493c-aabd-40f0f326dd63' 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>_Undetect :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Equivalent reflectivity factor H</dd><dt><span>units :</span></dt><dd>dBZ</dd><dt><span>standard_name :</span></dt><dd>radar_equivalent_reflectivity_factor_h</dd></dl></div><div class='xr-var-data'><pre>[673920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VRAD</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f6138876-0678-4d10-985e-41dd799fc7a8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f6138876-0678-4d10-985e-41dd799fc7a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91ed629e-4ddb-4aaa-a29d-5873f303677e' class='xr-var-data-in' type='checkbox'><label for='data-91ed629e-4ddb-4aaa-a29d-5873f303677e' 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>_Undetect :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Radial velocity of scatterers away from instrument</dd><dt><span>units :</span></dt><dd>meters per seconds</dd><dt><span>standard_name :</span></dt><dd>radial_velocity_of_scatterers_away_from_instrument</dd></dl></div><div class='xr-var-data'><pre>[673920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ZDR</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-037ace4b-1dac-4a70-abc8-b14fea2afe27' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-037ace4b-1dac-4a70-abc8-b14fea2afe27' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-78f68e43-b9f4-48f9-a65e-5a34d6d107d6' class='xr-var-data-in' type='checkbox'><label for='data-78f68e43-b9f4-48f9-a65e-5a34d6d107d6' 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>_Undetect :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Log differential reflectivity H/V</dd><dt><span>units :</span></dt><dd>dB</dd><dt><span>standard_name :</span></dt><dd>radar_differential_reflectivity_hv</dd></dl></div><div class='xr-var-data'><pre>[673920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>KDP</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-051a01a4-ad42-4d1b-bd23-5785f6552808' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-051a01a4-ad42-4d1b-bd23-5785f6552808' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a500a194-1537-400f-bdf7-9267cde2864d' class='xr-var-data-in' type='checkbox'><label for='data-a500a194-1537-400f-bdf7-9267cde2864d' 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>_Undetect :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Specific differential phase HV</dd><dt><span>units :</span></dt><dd>degrees per kilometer</dd><dt><span>standard_name :</span></dt><dd>radar_specific_differential_phase_hv</dd></dl></div><div class='xr-var-data'><pre>[673920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PHIDP</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-19f0ea72-e14a-4520-a5b8-87574ceb1879' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-19f0ea72-e14a-4520-a5b8-87574ceb1879' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c1dffd2d-4dd5-4c7b-8ac2-4b7ca8c31005' class='xr-var-data-in' type='checkbox'><label for='data-c1dffd2d-4dd5-4c7b-8ac2-4b7ca8c31005' 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>_Undetect :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Differential phase HV</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>standard_name :</span></dt><dd>radar_differential_phase_hv</dd></dl></div><div class='xr-var-data'><pre>[673920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RHOHV</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-84ab6f3f-8878-4847-9d3d-a48fb38e3912' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-84ab6f3f-8878-4847-9d3d-a48fb38e3912' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da00500d-bf7e-487f-ad4c-a8e9a809a731' class='xr-var-data-in' type='checkbox'><label for='data-da00500d-bf7e-487f-ad4c-a8e9a809a731' 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>_Undetect :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Correlation coefficient HV</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>standard_name :</span></dt><dd>radar_correlation_coefficient_hv</dd></dl></div><div class='xr-var-data'><pre>[673920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WRAD</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bbf9dd3f-0c7b-49a4-8abb-6a472bbea9d2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bbf9dd3f-0c7b-49a4-8abb-6a472bbea9d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e052e48-ebb2-474c-abb5-4d398c7fc35f' class='xr-var-data-in' type='checkbox'><label for='data-3e052e48-ebb2-474c-abb5-4d398c7fc35f' 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>_Undetect :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Doppler spectrum width</dd><dt><span>units :</span></dt><dd>meters per second</dd><dt><span>standard_name :</span></dt><dd>radar_doppler_spectrum_width</dd></dl></div><div class='xr-var-data'><pre>[673920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>QC_INFO</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ac8a0f80-3134-4591-8a30-7e5479ee6219' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac8a0f80-3134-4591-8a30-7e5479ee6219' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-afdd5986-a67b-4575-95a8-004b3389b2bc' class='xr-var-data-in' type='checkbox'><label for='data-afdd5986-a67b-4575-95a8-004b3389b2bc' 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>_Undetect :</span></dt><dd>0</dd></dl></div><div class='xr-var-data'><pre>[673920 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8606b7ee-da75-4459-80b2-c35101625fcd' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8606b7ee-da75-4459-80b2-c35101625fcd' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>fixed_angle :</span></dt><dd>0.5</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:     (azimuth: 720, range: 936)\n",
       "Coordinates:\n",
       "  * azimuth     (azimuth) float64 0.25 0.75 1.25 1.75 ... 358.8 359.2 359.8\n",
       "    elevation   (azimuth) float64 ...\n",
       "    rtime       (azimuth) datetime64[ns] ...\n",
       "  * range       (range) float32 37.5 112.5 187.5 ... 7.009e+04 7.016e+04\n",
       "    time        datetime64[ns] ...\n",
       "    sweep_mode  <U20 ...\n",
       "    longitude   float64 ...\n",
       "    latitude    float64 ...\n",
       "    altitude    float64 ...\n",
       "Data variables:\n",
       "    RATE        (azimuth, range) float32 ...\n",
       "    DBZH        (azimuth, range) float32 ...\n",
       "    VRAD        (azimuth, range) float32 ...\n",
       "    ZDR         (azimuth, range) float32 ...\n",
       "    KDP         (azimuth, range) float32 ...\n",
       "    PHIDP       (azimuth, range) float32 ...\n",
       "    RHOHV       (azimuth, range) float32 ...\n",
       "    WRAD        (azimuth, range) float32 ...\n",
       "    QC_INFO     (azimuth, range) float32 ...\n",
       "Attributes:\n",
       "    fixed_angle:  0.5"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "file_path=\"/tests/data/raw/2022/02/16/2006_20220216_134500.h5\" \n",
    "\n",
    "file_hdf5=xr.open_dataset(file_path, \n",
    "                          engine=\"odim\", \n",
    "                          group=\"dataset1\",\n",
    "                          backend_kwargs=dict(reindex_angle=1.0))\n",
    "display(file_hdf5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "db828441",
   "metadata": {},
   "source": [
    "We extracted the boolean data array from the clutter map."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "506f739a",
   "metadata": {},
   "outputs": [],
   "source": [
    "cmap_static_bool = cmap_static.DBZH_sum_bool"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e6ff6316",
   "metadata": {},
   "source": [
    "Now we can use the function ```fuzzy_echo_classification```."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "bc04b366",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:     (azimuth: 720, range: 936)\n",
       "Coordinates:\n",
       "  * azimuth     (azimuth) float64 0.25 0.75 1.25 1.75 ... 358.8 359.2 359.8\n",
       "    elevation   (azimuth) float64 0.5 0.5 0.5 0.5 0.5 ... 0.5 0.5 0.5 0.5 0.5\n",
       "    rtime       (azimuth) datetime64[ns] 2022-02-16T13:45:28.941817600 ... 20...\n",
       "  * range       (range) float32 37.5 112.5 187.5 ... 7.009e+04 7.016e+04\n",
       "    time        datetime64[ns] 2022-02-16T13:45:01\n",
       "    sweep_mode  &lt;U20 &#x27;azimuth_surveillance&#x27;\n",
       "    longitude   float64 13.24\n",
       "    latitude    float64 53.55\n",
       "    altitude    float64 38.0\n",
       "Data variables:\n",
       "    RATE        (azimuth, range) float32 ...\n",
       "    DBZH        (azimuth, range) float32 nan nan nan 23.0 ... -32.0 -32.0 -32.0\n",
       "    VRAD        (azimuth, range) float32 nan nan nan 0.0 ... -35.0 nan nan nan\n",
       "    ZDR         (azimuth, range) float32 nan nan nan ... 0.587 0.4894 -0.2914\n",
       "    KDP         (azimuth, range) float32 ...\n",
       "    PHIDP       (azimuth, range) float32 nan nan nan 9.844 ... 18.28 40.78 9.844\n",
       "    RHOHV       (azimuth, range) float32 nan nan nan ... 0.1494 0.2291 0.4382\n",
       "    WRAD        (azimuth, range) float32 ...\n",
       "    QC_INFO     (azimuth, range) float32 ...\n",
       "    FUZZ        (azimuth, range) bool False False False ... False False False\n",
       "Attributes:\n",
       "    fixed_angle:  0.5</pre><div class='xr-wrap' hidden><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-0c783091-9a14-4c68-8c17-bcf79e58f338' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0c783091-9a14-4c68-8c17-bcf79e58f338' 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'>azimuth</span>: 720</li><li><span class='xr-has-index'>range</span>: 936</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b3da9a88-d436-4bd3-af5f-02a12a542c68' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b3da9a88-d436-4bd3-af5f-02a12a542c68' class='xr-section-summary' >Coordinates: <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 class='xr-has-index'>azimuth</span></div><div class='xr-var-dims'>(azimuth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.25 0.75 1.25 ... 359.2 359.8</div><input id='attrs-7bbdbdcf-336e-4211-8cde-fd90c3d85b73' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7bbdbdcf-336e-4211-8cde-fd90c3d85b73' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c14d530-7e82-4110-bfd2-0035474e2b10' class='xr-var-data-in' type='checkbox'><label for='data-4c14d530-7e82-4110-bfd2-0035474e2b10' 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>standard_name :</span></dt><dd>ray_azimuth_angle</dd><dt><span>long_name :</span></dt><dd>azimuth_angle_from_true_north</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>axis :</span></dt><dd>radial_azimuth_coordinate</dd><dt><span>a1gate :</span></dt><dd>1</dd><dt><span>angle_res :</span></dt><dd>0.5</dd></dl></div><div class='xr-var-data'><pre>array([2.5000e-01, 7.5000e-01, 1.2500e+00, ..., 3.5875e+02, 3.5925e+02,\n",
       "       3.5975e+02])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>elevation</span></div><div class='xr-var-dims'>(azimuth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5 0.5 0.5 0.5 ... 0.5 0.5 0.5 0.5</div><input id='attrs-a0e58702-0cc2-4887-84c0-a535b98822ab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a0e58702-0cc2-4887-84c0-a535b98822ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-edfb05f8-9371-4766-8191-7c62d5fa6eda' class='xr-var-data-in' type='checkbox'><label for='data-edfb05f8-9371-4766-8191-7c62d5fa6eda' 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>standard_name :</span></dt><dd>ray_elevation_angle</dd><dt><span>long_name :</span></dt><dd>elevation_angle_from_horizontal_plane</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>axis :</span></dt><dd>radial_elevation_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([0.5, 0.5, 0.5, ..., 0.5, 0.5, 0.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rtime</span></div><div class='xr-var-dims'>(azimuth)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-02-16T13:45:28.941817600 .....</div><input id='attrs-ed5b5a3d-0c5a-4486-be0a-aa73bc507a68' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ed5b5a3d-0c5a-4486-be0a-aa73bc507a68' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8b5b443e-a24f-4ded-81ed-90754e08f4f8' class='xr-var-data-in' type='checkbox'><label for='data-8b5b443e-a24f-4ded-81ed-90754e08f4f8' 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>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-02-16T13:45:28.941817600&#x27;, &#x27;2022-02-16T13:45:28.980652544&#x27;,\n",
       "       &#x27;2022-02-16T13:45:01.019417600&#x27;, ..., &#x27;2022-02-16T13:45:28.825312256&#x27;,\n",
       "       &#x27;2022-02-16T13:45:28.864147456&#x27;, &#x27;2022-02-16T13:45:28.902982400&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range</span></div><div class='xr-var-dims'>(range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>37.5 112.5 ... 7.009e+04 7.016e+04</div><input id='attrs-97ded24a-8528-4cd8-9470-735591555877' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-97ded24a-8528-4cd8-9470-735591555877' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b67b1d44-6d45-4885-abf6-14636949b483' class='xr-var-data-in' type='checkbox'><label for='data-b67b1d44-6d45-4885-abf6-14636949b483' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meters</dd><dt><span>standard_name :</span></dt><dd>projection_range_coordinate</dd><dt><span>long_name :</span></dt><dd>range_to_measurement_volume</dd><dt><span>spacing_is_constant :</span></dt><dd>true</dd><dt><span>axis :</span></dt><dd>radial_range_coordinate</dd><dt><span>meters_to_center_of_first_gate :</span></dt><dd>37.5</dd><dt><span>meters_between_gates :</span></dt><dd>75.0</dd></dl></div><div class='xr-var-data'><pre>array([3.75000e+01, 1.12500e+02, 1.87500e+02, ..., 7.00125e+04, 7.00875e+04,\n",
       "       7.01625e+04], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-02-16T13:45:01</div><input id='attrs-d25c9f4f-42b3-4b77-8d49-7ad7e6e1af98' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d25c9f4f-42b3-4b77-8d49-7ad7e6e1af98' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6edddfce-625a-4b92-be04-c4602c83351b' class='xr-var-data-in' type='checkbox'><label for='data-6edddfce-625a-4b92-be04-c4602c83351b' 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>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2022-02-16T13:45:01.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sweep_mode</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U20</div><div class='xr-var-preview xr-preview'>&#x27;azimuth_surveillance&#x27;</div><input id='attrs-495e7753-86ba-405a-8f98-8c7c94cabbb5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-495e7753-86ba-405a-8f98-8c7c94cabbb5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b24ab776-1cda-44ff-a28b-97654fe17939' class='xr-var-data-in' type='checkbox'><label for='data-b24ab776-1cda-44ff-a28b-97654fe17939' 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;azimuth_surveillance&#x27;, dtype=&#x27;&lt;U20&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>13.24</div><input id='attrs-6d5cfa74-26e2-4e78-b145-093dce754e4b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6d5cfa74-26e2-4e78-b145-093dce754e4b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5c745feb-5d61-4222-807c-ca4281d8849b' class='xr-var-data-in' type='checkbox'><label for='data-5c745feb-5d61-4222-807c-ca4281d8849b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array(13.24397)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>53.55</div><input id='attrs-e530a6ee-9cd0-414d-9059-e4241133c0f3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e530a6ee-9cd0-414d-9059-e4241133c0f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a0a67bcf-4900-42f7-80f8-96d1b4a2daad' class='xr-var-data-in' type='checkbox'><label for='data-a0a67bcf-4900-42f7-80f8-96d1b4a2daad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array(53.55478)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>altitude</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>38.0</div><input id='attrs-edd36825-c09c-451a-8cd9-d5077a02e623' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-edd36825-c09c-451a-8cd9-d5077a02e623' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0cb6f4e8-1c88-4ae3-88c5-72fbb478ad17' class='xr-var-data-in' type='checkbox'><label for='data-0cb6f4e8-1c88-4ae3-88c5-72fbb478ad17' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>altitude</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>standard_name :</span></dt><dd>altitude</dd></dl></div><div class='xr-var-data'><pre>array(38.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1de70ede-a0cc-4638-80ec-6573c8c02188' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1de70ede-a0cc-4638-80ec-6573c8c02188' class='xr-section-summary' >Data variables: <span>(10)</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>RATE</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9f199f42-7169-47c9-991b-d8d7dfb9f77d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f199f42-7169-47c9-991b-d8d7dfb9f77d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a8e8501-0ea9-45db-8774-20429a012cea' class='xr-var-data-in' type='checkbox'><label for='data-0a8e8501-0ea9-45db-8774-20429a012cea' 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>_Undetect :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>rainfall_rate</dd><dt><span>units :</span></dt><dd>mm h-1</dd><dt><span>standard_name :</span></dt><dd>rainfall_rate</dd></dl></div><div class='xr-var-data'><pre>[673920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DBZH</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... -32.0 -32.0 -32.0</div><input id='attrs-7a0e5aa4-34a7-4710-affa-d81a28968301' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7a0e5aa4-34a7-4710-affa-d81a28968301' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e7cfc96-3b8c-458e-ac64-7da5ca69cbdb' class='xr-var-data-in' type='checkbox'><label for='data-2e7cfc96-3b8c-458e-ac64-7da5ca69cbdb' 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>_Undetect :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Equivalent reflectivity factor H</dd><dt><span>units :</span></dt><dd>dBZ</dd><dt><span>standard_name :</span></dt><dd>radar_equivalent_reflectivity_factor_h</dd></dl></div><div class='xr-var-data'><pre>array([[  nan,   nan,   nan, ..., -32. ,  20. , -32. ],\n",
       "       [  nan,   nan,   nan, ...,  21. ,  21.5,  20.5],\n",
       "       [  nan,   nan,   nan, ...,  23. ,  22.5,  21.5],\n",
       "       ...,\n",
       "       [  nan,   nan,   nan, ..., -32. , -32. , -32. ],\n",
       "       [  nan,   nan,   nan, ..., -32. , -32. , -32. ],\n",
       "       [  nan,   nan,   nan, ..., -32. , -32. , -32. ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VRAD</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan 0.0 ... nan nan nan</div><input id='attrs-50c632c0-6b71-4bc3-9398-948822f02c59' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-50c632c0-6b71-4bc3-9398-948822f02c59' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37719a7a-3c1e-4945-a182-c4f820855699' class='xr-var-data-in' type='checkbox'><label for='data-37719a7a-3c1e-4945-a182-c4f820855699' 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>_Undetect :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Radial velocity of scatterers away from instrument</dd><dt><span>units :</span></dt><dd>meters per seconds</dd><dt><span>standard_name :</span></dt><dd>radial_velocity_of_scatterers_away_from_instrument</dd></dl></div><div class='xr-var-data'><pre>array([[ nan,  nan,  nan, ...,  nan,  nan, 15. ],\n",
       "       [ nan,  nan,  nan, ..., -0.5, -0.5, -0.5],\n",
       "       [ nan,  nan,  nan, ..., -0.5,  0. ,  0. ],\n",
       "       ...,\n",
       "       [ nan,  nan,  nan, ...,  nan,  nan,  nan],\n",
       "       [ nan,  nan,  nan, ...,  nan,  nan,  nan],\n",
       "       [ nan,  nan,  nan, ...,  nan,  nan,  nan]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ZDR</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 0.4894 -0.2914</div><input id='attrs-d9beff05-6778-4206-b5fe-83cc7112f8ed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d9beff05-6778-4206-b5fe-83cc7112f8ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c02ec33-8bb9-4119-8837-9a66933413e5' class='xr-var-data-in' type='checkbox'><label for='data-9c02ec33-8bb9-4119-8837-9a66933413e5' 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>_Undetect :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Log differential reflectivity H/V</dd><dt><span>units :</span></dt><dd>dB</dd><dt><span>standard_name :</span></dt><dd>radar_differential_reflectivity_hv</dd></dl></div><div class='xr-var-data'><pre>array([[      nan,       nan,       nan, ...,  0.0665  ,  0.196628, -0.031096],\n",
       "       [      nan,       nan,       nan, ..., -0.291352, -0.226288, -0.454012],\n",
       "       [      nan,       nan,       nan, ..., -0.09616 , -0.486544, -0.649204],\n",
       "       ...,\n",
       "       [      nan,       nan,       nan, ...,  0.424352,  0.619544,  0.196628],\n",
       "       [      nan,       nan,       nan, ...,  0.131564,  0.489416, -0.063628],\n",
       "       [      nan,       nan,       nan, ...,  0.587012,  0.489416, -0.291352]],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>KDP</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-35771113-d638-46e5-87e9-96fa233e9df6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-35771113-d638-46e5-87e9-96fa233e9df6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-caa76db6-0781-477c-8d65-b65ef80b9ef5' class='xr-var-data-in' type='checkbox'><label for='data-caa76db6-0781-477c-8d65-b65ef80b9ef5' 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>_Undetect :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Specific differential phase HV</dd><dt><span>units :</span></dt><dd>degrees per kilometer</dd><dt><span>standard_name :</span></dt><dd>radar_specific_differential_phase_hv</dd></dl></div><div class='xr-var-data'><pre>[673920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PHIDP</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 18.28 40.78 9.844</div><input id='attrs-b3654556-f959-4e99-bf8a-b97d57ba618e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b3654556-f959-4e99-bf8a-b97d57ba618e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc2c59d1-22dd-4764-a426-1cc2d46f6ff8' class='xr-var-data-in' type='checkbox'><label for='data-bc2c59d1-22dd-4764-a426-1cc2d46f6ff8' 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>_Undetect :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Differential phase HV</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>standard_name :</span></dt><dd>radar_differential_phase_hv</dd></dl></div><div class='xr-var-data'><pre>array([[      nan,       nan,       nan, ...,  46.40625,  36.5625 ,  32.34375],\n",
       "       [      nan,       nan,       nan, ...,  46.40625,  50.625  ,  53.4375 ],\n",
       "       [      nan,       nan,       nan, ...,  43.59375,  45.     ,  50.625  ],\n",
       "       ...,\n",
       "       [      nan,       nan,       nan, ...,  91.40625,  68.90625, -57.65625],\n",
       "       [      nan,       nan,       nan, ...,  28.125  ,  28.125  , -14.0625 ],\n",
       "       [      nan,       nan,       nan, ...,  18.28125,  40.78125,   9.84375]],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RHOHV</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 0.2291 0.4382</div><input id='attrs-65f36a6c-c90e-4f61-bcbf-34655cc9adab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-65f36a6c-c90e-4f61-bcbf-34655cc9adab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-93d22591-7320-4a89-896b-36526e9c6773' class='xr-var-data-in' type='checkbox'><label for='data-93d22591-7320-4a89-896b-36526e9c6773' 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>_Undetect :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Correlation coefficient HV</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>standard_name :</span></dt><dd>radar_correlation_coefficient_hv</dd></dl></div><div class='xr-var-data'><pre>array([[    nan,     nan,     nan, ..., 0.41334, 0.49302, 0.61752],\n",
       "       [    nan,     nan,     nan, ..., 0.93624, 0.88146, 0.8715 ],\n",
       "       [    nan,     nan,     nan, ..., 1.00596, 0.996  , 0.9213 ],\n",
       "       ...,\n",
       "       [    nan,     nan,     nan, ..., 0.13446, 0.05478, 0.06972],\n",
       "       [    nan,     nan,     nan, ..., 0.31374, 0.21414, 0.29382],\n",
       "       [    nan,     nan,     nan, ..., 0.1494 , 0.22908, 0.43824]],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WRAD</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-56e81911-6468-4dd5-a421-000f7377ad81' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-56e81911-6468-4dd5-a421-000f7377ad81' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3012e8a9-8171-4063-8842-a4c686a867e2' class='xr-var-data-in' type='checkbox'><label for='data-3012e8a9-8171-4063-8842-a4c686a867e2' 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>_Undetect :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Doppler spectrum width</dd><dt><span>units :</span></dt><dd>meters per second</dd><dt><span>standard_name :</span></dt><dd>radar_doppler_spectrum_width</dd></dl></div><div class='xr-var-data'><pre>[673920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>QC_INFO</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-37406dfa-3df4-439a-98a9-2eea5afd240c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-37406dfa-3df4-439a-98a9-2eea5afd240c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b4246b67-39e3-451c-9458-6b78777ed90b' class='xr-var-data-in' type='checkbox'><label for='data-b4246b67-39e3-451c-9458-6b78777ed90b' 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>_Undetect :</span></dt><dd>0</dd></dl></div><div class='xr-var-data'><pre>[673920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FUZZ</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>bool</div><div class='xr-var-preview xr-preview'>False False False ... False False</div><input id='attrs-91c72e47-2c3f-4f2e-85b0-e711bbb1e137' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-91c72e47-2c3f-4f2e-85b0-e711bbb1e137' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de6acce1-f73c-4da8-add5-9b3d39e168b8' class='xr-var-data-in' type='checkbox'><label for='data-de6acce1-f73c-4da8-add5-9b3d39e168b8' 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]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e87d96de-5cba-45ca-98eb-8224d4a320f4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e87d96de-5cba-45ca-98eb-8224d4a320f4' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>fixed_angle :</span></dt><dd>0.5</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:     (azimuth: 720, range: 936)\n",
       "Coordinates:\n",
       "  * azimuth     (azimuth) float64 0.25 0.75 1.25 1.75 ... 358.8 359.2 359.8\n",
       "    elevation   (azimuth) float64 0.5 0.5 0.5 0.5 0.5 ... 0.5 0.5 0.5 0.5 0.5\n",
       "    rtime       (azimuth) datetime64[ns] 2022-02-16T13:45:28.941817600 ... 20...\n",
       "  * range       (range) float32 37.5 112.5 187.5 ... 7.009e+04 7.016e+04\n",
       "    time        datetime64[ns] 2022-02-16T13:45:01\n",
       "    sweep_mode  <U20 'azimuth_surveillance'\n",
       "    longitude   float64 13.24\n",
       "    latitude    float64 53.55\n",
       "    altitude    float64 38.0\n",
       "Data variables:\n",
       "    RATE        (azimuth, range) float32 ...\n",
       "    DBZH        (azimuth, range) float32 nan nan nan 23.0 ... -32.0 -32.0 -32.0\n",
       "    VRAD        (azimuth, range) float32 nan nan nan 0.0 ... -35.0 nan nan nan\n",
       "    ZDR         (azimuth, range) float32 nan nan nan ... 0.587 0.4894 -0.2914\n",
       "    KDP         (azimuth, range) float32 ...\n",
       "    PHIDP       (azimuth, range) float32 nan nan nan 9.844 ... 18.28 40.78 9.844\n",
       "    RHOHV       (azimuth, range) float32 nan nan nan ... 0.1494 0.2291 0.4382\n",
       "    WRAD        (azimuth, range) float32 ...\n",
       "    QC_INFO     (azimuth, range) float32 ...\n",
       "    FUZZ        (azimuth, range) bool False False False ... False False False\n",
       "Attributes:\n",
       "    fixed_angle:  0.5"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds_fuzz=wrf.clutter.fuzzy_echo_classification(ds=file_hdf5, \n",
    "                                              cmap=cmap_static_bool, \n",
    "                                              dims=[\"azimuth\", \"range\"])\n",
    "display(ds_fuzz)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b39567d2",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-info\">\n",
    "\n",
    "**Note** <br>\n",
    "\n",
    "The function works also for a xarray dataset which is linking over the time and for SCN/SCNX files. Before you can use the function with SCN/SCNX files, you have to [rename a variable](https://fernlab.git-pages.gfz-potsdam.de/products/furuno/wrainfo/doc/jupyter_notebooks/read_furuno_data.html#Rename-a-variable).\n",
    "\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f7b52e8b",
   "metadata": {},
   "source": [
    "Now we plot the static clutter map on the left and the \"FUZZ\" clutter map on the right."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "8d095a09",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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pNmtevGVEOvfcc9GqVSu88MILmhNavXv3xjfffIMPPvhA0+cCM7J8+eWXYe+/+eab1crG2o5AAivyb61bt8Y555yDzZs3B1ufRb7q1aunqb6iBI5baPJNURQ8++yzUcsfO3YMy5YtC3vvtddeQ1JSEi677DLzKkpEROQAV155JT788MNgq6IARVGwaNEitGjRIizZMGLECGzcuBHPPPMMLrzwwrjLXrFiBe69915ceeWVmD59uin1B4C8vDwkJyernl0vIDMzE2lpadViqVgxIVA9Zgr8Ldr7ffv2xXfffYeGDRtGjaVCZ9ezks/ng6IoYbEUADz33HMxW8e9+uqrYf9eu3Ytvv/+++CM0kRkD7aIIrJAz549cdZZZ6Ffv34477zzUFVVhU2bNuGRRx5B3bp1MWbMmGDZdu3aYcGCBVi4cCHOPvtspKWloV27dujbty+WLFmCkSNH4oYbbsCePXvwl7/8BY0bN8a3334btr527drho48+wptvvonGjRujXr161VoCBTz11FPo168fLr74YowbNw7NmjVDcXExVqxYUe3HO9TYsWOxcOFCXHPNNbj77rvx29/+Fj///DNWrVqFvn374vLLL4/6uauuugoNGjTAsGHDMG3aNKSkpGDevHnYs2dPtbKx9kWrVq1Qq1YtvPrqq2jTpg3q1q2L7OxsZGdn4x//+Ad69+6Nnj17Ij8/H02aNMGRI0ewY8cOfPHFF1i0aJGaQyZcjx49ULNmTdx0002466678Msvv2DOnDk4evRo1PINGzbE7bffjuLiYpx77rlYvnw5nn32Wdx+++3SdYkkIiKy2n333Yc333wTnTt3xt13341zzjkHJSUlePbZZ7Fu3Tr861//Cpb9+9//jldffRVXXHEFWrdujU8//TTqMjt27Ij9+/fjpptuQq1atTB27FisW7cuatmzzjrLcJe6Fi1a4J577sFf/vIX/Pzzz7jpppvg9/uxfft2HD58GA888EDUz/l8PvzhD3/ACy+8gFatWqF9+/b4/PPP8dprr1Ur265dOwCn98Ett9yCGjVqoHXr1qhXr17MOGvs2LFYvHgxLrvsMowbNw4XXHABqqqqUFxcjJUrV2LChAno3LmzoW3XIz09HZdddhlmzpyJjIwMtGjRAqtWrcLzzz8fcwa89evXY/jw4RgwYAD27NmDKVOmoEmTJhg5cqS1lSeicDYPlk7kCQsXLlQGDx6snHPOOUrdunWVGjVqKM2aNVOGDBmibN++Pazs7t27lby8PKVevXoKgLBZUh566CGlRYsWSmpqqtKmTRvl2WefjToL3aZNm5RLLrlEqV27tgIgOCNKtFnzFEVRioqKlN69eyt+v19JTU1VWrVqpYwbNy7hdh09elQZM2aM0qxZM6VGjRpKo0aNlD59+ihfffVVsAwiZm9RFEX5/PPPla5duyp16tRRmjRpotx///3Kc889V21Wl3j7Yv78+cp5552n1KhRo9o6Nm/erAwcOFBp1KiRUqNGDSUrK0u54oorlGeeeSZYJjCbSuSMMLEE9t2iRYvC3o+1nMBx+eGHH4Lvvfnmm0r79u2VtLQ0pUmTJsqf/vQn5Z133ql2TLp166acf/75ykcffaR06tRJSU1NVRo3bqzcc8891WYDJCIichMtv8/ffvut8oc//EFp3LixkpKSopxxxhlKXl6e8v7774eVC8xGm+i1a9euuLP2hb4iYxtFif7br8ZLL72kXHTRRUpaWppSt25dpWPHjmEz4kXOmqcoilJaWqoMHz5cyczMVOrUqaP069dP2b17d9S6TZ48WcnOzlaSkpLCYo54cdbx48eVe++9V2ndurVSs2ZNxe/3K+3atVPGjRunlJSUBMshzuyF0TRv3lzp06dPtfejLScwO+DMmTOD7+3du1e5/vrrlfr16yv16tVTevXqpWzdulVp3rx52IzRgeO4cuVKZciQIcoZZ5yh1KpVS7nqqquUb7/9VnV9icgcPkVRFPPSXEREpFX37t1x+PBhVWOHEREREVG4efPm4dZbb8W6deviDnpPRPbgGFFERERERERERGQJJqKIiIiIiIiIiMgS7JpHRERERERERESWYIsoIiIissXq1avRr18/ZGdnw+fz4d///nfCz6xatQq5ublIS0vD2WefjWeeecb8ihIRERFJwg3xExNRREREZIsTJ06gffv2ePLJJ1WV37VrF6666ipceuml2LhxI+655x6MHj0aixcvNrmmRERERHJwQ/zErnlERERkO5/Ph6VLl6J///4xy0yaNAnLli3Djh07gu8VFBRg8+bNKCoqsqCWRERERPJwavyUYstaCVVVVdi/fz/q1asHn89nd3WIiEhCiqLg2LFjyM7ORlKSOY2Yf/nlF1RUVAhbnqIo1X7XUlNTkZqaanjZRUVFyMvLC3uvZ8+eeP7553Hy5EnUqFHD8DpIboyfiIgoEcZP4WSMn5iIssn+/fvRtGlTu6tBREQOsGfPHpx11lnCl/vLL7+gZfO6KDlUKWyZdevWxfHjx8Peu//++zF16lTDyy4pKUFmZmbYe5mZmTh16hQOHz6Mxo0bG14HyY3xExERqcX46TQZ4ycmomxSr149AKe/HOnp6TbXhii2a/xD7a6Cad4ofcnuKhDFVVZWhqZNmwZ/M0SrqKhAyaFK7NrQHOn1jD8xLDtWhZa531f7bRPxNC8g8mlhYIQBto7xBsZP5BSB+GnpN1uC7117bju7qiMU4yeSHeOn6mSLn5iIsknggKenpzOQItv1SBoQ828pPvd2dbn+jGEx/1ZYtcjCmhDFZ3aQkF4vSUggFVyeSb9tWVlZKCkpCXvv0KFDSElJQcOGDYWvj+TD+IlkoiZ+GtD6wpD3TK+ScCv2b0bP7PZh7zF+Iqdg/HSajPETE1FEHhMvaKJfRdtPDK7IrSqVKlQKmLqkUqkyvpA4unTpgjfffDPsvZUrV6JTp04cH4qITCUyflqxfzMAVEvwyEhrHUP3U2A7k7K+EVonIlkwftKPiSgiF2PSSSwmp8itqqCgCsYjKa3LOH78OP7zn/8E/71r1y5s2rQJDRo0QLNmzTB58mTs27cPL710uhtIQUEBnnzySYwfPx4jRoxAUVERnn/+ecyfP99w3YmIAsyOn0QkoJyQzArUbcX+c6u9x/iJ3IDxk35MRBG5BJNO9mByiki/9evX4/LLLw/+e/z48QCAW265BfPmzcOBAwdQXFwc/HvLli2xfPlyjBs3Dk899RSys7PxxBNP4Prrr7e87kTkDk6Nn8xKQEXriqfmb4G/hwqUjfYZxk9E+rkhfvIpgVGqyFJlZWXw+/0oLS3lGAekm1ODJy9hUEVGmP1bEVj+/q/PEjbYZnbrvfxtI9MwfiIR7I6f9LZmCk30JEoIydxSKlK0/cH4iYxg/CQ/togichi7gyfSJvJ4MbAiGVUqCioFPJcSsQwiItFki530JokSfS5aQsdJXfhChR4zxk4kK8ZP+jERRSQ52YInMoaBFRERkfm8GD/9OibT5rjd4pyGD/WI3IeJKCIJeTF48iImpUgWdg22SUQkkt74yQmthrRwy3bEwviJZMH4ST8moogkweSTtzGoIjtVQUElAykiciAR8ZPMiRunjfdklUDykPET2Ynxk35MRBHZhIknioVN0ImIiKJzYvxkpMUVk1DRcVwpImczPsQ7EWnmxCCK7MPzhcwWaFou4kVEZBan/h72zG7vqoTSiv2bw2bwi1fOjHWrqUePpAGOPV/IORg/6ccWUUQW4Y8hGcGnfGQmzvpCRDJi7CRn1zy19TGj3qHLVLN8xk9kJsZP+jERRWQSBk9kFnbdIyIit9ISP7ltkPFo3LxtVmNSikgeTEQRmYBJKLJSj6QBDKjIkKr/vUQsh4hIr3jxU7SkU+D/vZCQIrEC5xrjJzKC8ZN+TEQRCcLkE9mJT/nIiEpBs76IWAYReYva+ClekokJKHmFjuEk43Fi/ERGMH7Sj4koIoOYgCLZ8CkfERHJzu74ia2ofqU2WaRnvKrI8pGDi1u5/xPVn/ETkXWYiCLSwe7giUgNPuUjtSqV0y8RyyEiisVo/CQyeeTGBFSsREui/WbF4OORdeuZ3T44652ZxyJ0+WrXw/iJ1GL8pB8TUUQaMQlFTsSnfBQPxzggIjOJip3cmDwSyWiiySyxkkFW1MvoOjgOJ8XD+Em/JLsrQOQUPZIGMAlFjsdzmIiIrKT3dyfQiifQasar3LD9difC1Ii3j3kPQCQeW0QRxcEfHXIjNjmnSFXwoRI+IcshIhIRP2ntTuVEasZmcvP2yyTQVTDw/9EwfqJIjJ/0YyKKKAomoMgr2GWPAKBKOf0SsRwi8i4j8ZNTBw83MsaR07Y1Gqcet2i0bAO77BHA+MkIJqKIIjAJRV7EgIqIiIwwGj/Fml0t9H2rkh5akksyJ2D07C+1M+hpKeNWfJhHpJ+jxojat28f/vCHP6Bhw4aoXbs2OnTogA0bNgT/rigKpk6diuzsbNSqVQvdu3fHtm3bwpZRXl6OO++8ExkZGahTpw6uvvpq7N27N6zM0aNHMWTIEPj9fvj9fgwZMgQ//vhjWJni4mL069cPderUQUZGBkaPHo2KigrTtp3Mx/7f5HX8DnhX5f+alot4kXwYP5GZzPrt6JndvlqSI9p7ZnBLciXa/ko03lTgM27ZB1Zg/ORdjJ/0c0wi6ujRo7jkkktQo0YNvPPOO9i+fTseeeQRnHHGGcEyDz/8MB599FE8+eSTWLduHbKystCjRw8cO3YsWGbs2LFYunQpFixYgDVr1uD48ePo27cvKisrg2UGDx6MTZs24d1338W7776LTZs2YciQIcG/V1ZWok+fPjhx4gTWrFmDBQsWYPHixZgwYYIl+4LE448H0a/4ffAeBlLuxfiJzGT274VMA3VrqYcVdda7b9yWYFK7D2LtL5HHivGT9zB+0s+nKIojeiTefffd+OSTT/Dxxx9H/buiKMjOzsbYsWMxadIkAKef3mVmZuJvf/sbbrvtNpSWluLMM8/Eyy+/jEGDBgEA9u/fj6ZNm2L58uXo2bMnduzYgbZt2+LTTz9F586dAQCffvopunTpgq+++gqtW7fGO++8g759+2LPnj3Izs4GACxYsAD5+fk4dOgQ0tPTE25PWVkZ/H4/SktLVZUn8fhjQaQOm5zbx+zfisDy125rjLr1jD+bOn6sCl3PP8DfNokwfiLRrIqf4nWPU9t1zsj4TU7hhW00m1n7kPGTfRg/yc8xLaKWLVuGTp06YcCAAWjUqBE6duyIZ599Nvj3Xbt2oaSkBHl5ecH3UlNT0a1bN6xduxYAsGHDBpw8eTKsTHZ2NnJycoJlioqK4Pf7g0EUAFx88cWnT7SQMjk5OcEgCgB69uyJ8vLysKbuocrLy1FWVhb2Inuw+SyRNvzOuF+V4hP2IrkwfiJRQn8LrGjxEy8xwCTUr7ywjWoYaT1n1j5k7OR+jJ/0c0wiaufOnZgzZw7OOeccrFixAgUFBRg9ejReeuklAEBJSQkAIDMzM+xzmZmZwb+VlJSgZs2aqF+/ftwyjRo1qrb+Ro0ahZWJXE/9+vVRs2bNYJlIM2bMCI6Z4Pf70bRpU627gATgDwKRfvz+uBeblrsX4ycSIfL6z+QHyUbWca34MM/dGD/p55hZ86qqqtCpUydMnz4dANCxY0ds27YNc+bMwdChQ4PlfL7wg6goSrX3IkWWiVZeT5lQkydPxvjx44P/LisrYzBlMf4IEBnHGWKInIXxExnh5NhJxqREIpEteoxug1WzDDqVlfuHsxMThXNMi6jGjRujbdu2Ye+1adMGxcXFAICsrCwAqPZE7dChQ8Gnb1lZWaioqMDRo0fjljl48GC19f/www9hZSLXc/ToUZw8ebLak76A1NRUpKenh73IGnwSQSQev1PuUokkYS+SC+Mn0kvEdV6mwcadIHTGOj3JkWiJLNFJFiccT7V1tLoVFe9J3Ifxk36O2eJLLrkEX3/9ddh733zzDZo3bw4AaNmyJbKyslBYWBj8e0VFBVatWoWuXbsCAHJzc1GjRo2wMgcOHMDWrVuDZbp06YLS0lJ8/vnnwTKfffYZSktLw8ps3boVBw4cCJZZuXIlUlNTkZubK3jLyQhe7InMw++XeyiCxjdQPDjGgewYP5FWIm+WAzf5TkheuEFkUiUyEZgoMajmb4kSNzIkHxPtB7sxfnIPxk/6OWbWvHXr1qFr16544IEHMHDgQHz++ecYMWIE/vnPf+Lmm28GAPztb3/DjBkzMHfuXJxzzjmYPn06PvroI3z99deoV68eAOD222/HW2+9hXnz5qFBgwaYOHEi/vvf/2LDhg1ITk4GAPTu3Rv79+/HP/7xDwDAH//4RzRv3hxvvvkmgNPTD3fo0AGZmZmYOXMmjhw5gvz8fPTv3x+zZ89WtT2c9cVcvMATWYvNzc1h1awv729phjoCZn05cawKv29XzN82iTB+Ii1EtYJyU1cwt22P2UITPtxviTF+MgfjJ/k5Zoyoiy66CEuXLsXkyZMxbdo0tGzZEo8//ngwiAKAu+66Cz///DNGjhyJo0ePonPnzli5cmUwiAKAxx57DCkpKRg4cCB+/vln/P73v8e8efOCQRQAvPrqqxg9enRwdpirr74aTz75ZPDvycnJePvttzFy5EhccsklqFWrFgYPHoxZs2ZZsCcoESahiKzHsQ+cTdRAmV4cbFN2jJ9ILdGtoNzCbdtjlkDCjvtLG8ZPzsb4ST/HtIhyGz7RE48JKCI5MKASx6oneu982VLYE73eF+zibxuZhvGTeGbFT1paErHVEcnKynOT8ZM4jJ/k55gxoojiYRKKSB78PhIROYOZ12s1N++BsXvcnISSaWwi0n48rB7MnMgrHNM1jygSL9ZE8gr9fvIJn/yq4EOVgGdTVWAjayLZyRQ/uTkBFeCFbZRdaLJT9uPB+MlZGD/pxxZR5EgyBVFEFB+/r/ILjHEg4kVE8rLreqxl1jLZZjjTQlS9Zdx+2Y6LlvrInnyKhfGT/Bg/6ccWUeQ4vCgTOQ8H4yQisped8ZOWRIBTkwaA9roHEimRn5NxH8hWJ7vrY1WXUsZP5FZsEUWOwiQUkXPx+yuvSiVJ2IuI5KPn+itT6xcZmNEiiLPMWcOMc5nHjQDGT0Z4b4vJsXgTS+R8/B7L6fQYB2JeRCQXvdddp95ohyaMjCSPIj+rJ2kkW3c2vZzS5TDW8vWcyzIdux5JAxg/SYrxk35MRJEj8OJL5B78PhMRWSP0eivLTbXZQhNGRlocJfqsmv0ZaxmBJIeaZchw3LTMgJhoOWYmeNQeayPHzixq9gvjJ3ITjhFFUuMFl8idAt9tjnsghyokoZKzvhC5RmT8JEMyA7BuXB0rGNmO0M9GtrrSs55YY01ZSe26ZTj+MtQhkto6MX6SC+Mn/dgiiqTFJBSR+/F7LgeOcUDkHtGuq1a27oiX9JIxASBavO2P1uolcGyMJrYCn9eSdJQlQamVU+stEuMnOTB+0s97W0yOwIsrkXfw+05EJIYM19PQhIgXEwbRup8F/m1FQlCmGQrt7oJnB7PO+2jLlOH7TqQXu+aRVHhBJfImNjW3VxWSUMWm5USOpXdWPDNv6NV2KZM5qaBX5Da5cRvVkHG7jZ5zibpBmrXNkd05A//ukTSAsZONGD/pxxZRJA0moYiI1wF7VCo+YS8ispaTZ8WToQ528WJrMRkEWqwZ+bzd523k+jmrnn0YP+nHRBRJgRdPIgrg9YCISJ3A9ZJJDW0SjeNkBbuTGbIz8zg4tUtiovUwfiInYSKKbMeLJhFF4tM9a1X+b9YXES8iMl9VybmoKjk3+O/IG2smpuKLl4iwIkHE45OYDIk6vcfJqrpHa93F2MlajJ/04xhRZBteKIkoEY59YI0qJQlVAmZsqVK8N8YBkdVOx0/xb3RluIlXK9GYO25k9bZaMRaXzMcxNFkj02DuIkSrI8fdtA7jJ/28l3ojKTAJRURq8XpBRHRatOuhDK1r1M4UFq2MkTF37OoC5TRWJFRkGDsplkDdZK1fLEbPO8ZPJDMmoshyvCgSkVa8bpiLTcuJ5BfrOhjr5tqsaeRj1UHNTb7oRICVXaBEinZc7Eh2GUkgykLNNlj5XRBJxHnH+MlcjJ/0Y9c8IiIij6sChMzYUmW8KkQkiNNaf5hNbdcxkV3MYnWJU/ue2dSsU2u3PrXlY3WX07q+eInYwN/s+i5Y0SWS7MX4ST/vpd7IVszKE5FeHMCciLwo2rVPZOsOPa1FQsub2dJES90S1UlLqy1RyQMnJiEi952RpFI8sbrLqUkUqjknZNj3MtQB4P0XyYmJKLIEbyCJSBReS8SrQpKwFxGJo7U7nl5qlxettVC8Fiki6qUlsZGoTk5mZTdLKz6jl9ljPTmxC58avBczB+Mn/dg1j0zHix4RicbZ9MSqVJJQKWDWFxHLIKLTrIqftCShAmXVdF/TmtwK/YzMM7BpEW874nXbivY3q/ZFrNZkTuPmmfKMYPwkFuMn/ZiIIlMxCUVEZmEwRURuJWP8FK3FkYgxcGQZL0mveMmmyPdCy4pI4plB1NhYopall5Fxp9yO8RPJgIkoMo2MQRQRuQuDKTGq4EMVRAy2aXwZRF5nR/yUKHEQ7e9uvbnXmkRha5twes4Ls88lL+x3rRg/icH4ST/vtQEjIiKiMIGm5SJeRKRfIAmlZpyaeGW0jHOjZuDx0BY8MrR2MZPZYxA5gZFxkuwYY8qt4zqR/Bg/6ee9LSbTcTA8IrISrzlE5Aah1zG1s7vp+Vu0srFmMDO6bCvZmYwQtW5ZEipqZ8pzUn29RG2SmrET2Yld80goXtCIyC5sZq5fJZJQKeDZlIhlEHmR0fhJxlZKkXWys/uV2ftH1HJlOn6JOKmuXqMlSR249jB+0ofxk37e22IyDZNQRGQ3Xof0qVJ8wl5EpI2o65ZsiYHIFlZ2D1wtchBuM8nU0kiLQJ2dWn+vY/ykD+Mn/ZiIIiF48SIiWfB6REROYeR6pXd6+ljLckLywOo6Ru4XK5JpTh2jKlBnp9afGD+RtZiIIsN40SIi2fC6pE3V/5qWG31VMawgUk1UEkoEK5IHeuscmgyyOsHhxKSK0YHuyXs4bpR+jJ/0894WExERUZgqJUnYi4jMFzmDnZX0rlNvQsfsZJCVrcGsWJeTB5wne/B80I/xk37e22ISillzIpIVr09EJKN4M31qSVTY1VpH5ptWPYkeK/ejE1tYOQFbeP1KxL5g/ERWYCKKdONFiohkF++Gj35VCZ+wFxHFluh6JCJREXojGu2mNPLvIrrM6a2faLH2n1PGwBIldOBwu9ad6D2RvJjcM3ufMnZSh/GTfkxEkWa8sSMip+E1Kz42LScyn1XXoUQz1UX+Xc9NvJExm3pmt7c8QRJvO+1M2pgldOBwvUR2wbQiUSRbUtRsVuxTxk6JMX7Sz3tbTIbwgkRETsXrFxHZRfT1x+4baKMtt2RqwSIiaWMVK1t26U1Q2nVu6klwOuGYayV6mxg7kVmYiCIiIvK4SohqXk5EZluxf7PQm027k1pmr9/u7RNJ9jGm7K5fomSUm84FKzEZFRvjJ/2YiCLVeBEiIqfjdSw6Ni0nMo/e606sm2YRN/qh3dFijalkFbMTF/GWb0cLnsh1Gq2D18a/ikVNd1E15xr3Z3SMn6Jj/KSf97aYdOHFh4jcgtczIrKKkeuNmQmayO5okTfeIpNdVrJ6xrzQpIWe2Q4DiUC9dTD6eTfRug/iJXq5P6Nj/EQiMRFFCfGiQ0Ruw+tauEolSdiLiE4T3RJKhFgzmplx4y1i9jo1ZUPLiNoOPUklvQO3a1lfrM+bxei5KHMy0mvJJlHHgvFTOMZP+nlvi4mIiCiMAh+qBLwUHdMPP/3002jZsiXS0tKQm5uLjz/+OG75V199Fe3bt0ft2rXRuHFj3Hrrrfjvf/+rd9OJLKXmZtCKllChdbHyhjyyNVCi/aGmbonK6LkBN2OZRtYXj5nJHqPnhtXJHrOSqm5gx2yVXsD4ST8moiguZr2JyK14fbPfwoULMXbsWEyZMgUbN27EpZdeit69e6O4uDhq+TVr1mDo0KEYNmwYtm3bhkWLFmHdunUYPny4xTUnii/W9UWWm2QZbtjVdIESMV6PVa291Artyqdl+2J1AbT7OEZj58x5sdYf+V6sfe/mZI3aZFSiMoyf7OeG+ImJKIqJFxkicjte506zq2n5o48+imHDhmH48OFo06YNHn/8cTRt2hRz5syJWv7TTz9FixYtMHr0aLRs2RK/+93vcNttt2H9+vUidgOREE64rliRvNA6dlIs0Vpx6amH0TKilhHalS/w0tI6TMbEUySjXQ5FrT/ee6H7Pl45tyWmRLQyBJxxnbMC4yf9mIiiqHhxISKv4PUOqFJ8wl4AUFZWFvYqLy+vts6Kigps2LABeXl5Ye/n5eVh7dq1UevZtWtX7N27F8uXL4eiKDh48CBef/119OnTR/xOIdIh2vVEVELGaeIlTvSO42NkHCajZYD49TaSIFLbOkxLfWTgpKRZJDu6rjoN4yfGT0YwEUVERERCNW3aFH6/P/iaMWNGtTKHDx9GZWUlMjMzw97PzMxESUlJ1OV27doVr776KgYNGoSaNWsiKysLZ5xxBmbPnm3KdhCJ4PYbWT3d55y6T8yqt9axw5gkiU5E0pf7Vv4Ep5t5KX5iIoqqYXabiLzG69e9SiQJewHAnj17UFpaGnxNnjw55rp9vvABOhVFqfZewPbt2zF69Gjcd9992LBhA959913s2rULBQUF4nYGkU7xriMy3diZMdC2nTftibZHT6LM6uOldf+Jnh1QpvPTiNBWeHqPuZcTUAFa9h/jJ8ZPejk2ETVjxgz4fD6MHTs2+J6iKJg6dSqys7NRq1YtdO/eHdu2bQv7XHl5Oe68805kZGSgTp06uPrqq7F3796wMkePHsWQIUOCmcghQ4bgxx9/DCtTXFyMfv36oU6dOsjIyMDo0aNRUVFh1uZaxusXEyLyLi9f/0Q3LU9PTw97paamVltnRkYGkpOTqz29O3ToULWnfAEzZszAJZdcgj/96U+44IIL0LNnTzz99NN44YUXcODAAfE7xoUYP5kj0fXD7mRNKDX1MJqYUJv80bue0M8lGtNHy763MxlhRzIo0bhTVo6dJXr5diX3nELEjJUBjJ8YP+nhyETUunXr8M9//hMXXHBB2PsPP/wwHn30UTz55JNYt24dsrKy0KNHDxw7dixYZuzYsVi6dCkWLFiANWvW4Pjx4+jbty8qKyuDZQYPHoxNmzbh3XffxbvvvotNmzZhyJAhwb9XVlaiT58+OHHiBNasWYMFCxZg8eLFmDBhgvkbbyIvX0SIiABeB61Us2ZN5ObmorCwMOz9wsJCdO3aNepnfvrpJyQlhYcuycnJAE4nUyg+xk/mcOJ1I1FLGBE35SLHZtLyOaNjNdlF67qtSFxFS/LJ0A0z9PzV0/pJ7fLdJl4C1ygnXgedyi3xk+MSUcePH8fNN9+MZ599FvXr1w++rygKHn/8cUyZMgXXXXcdcnJy8OKLL+Knn37Ca6+9BgAoLS3F888/j0ceeQRXXnklOnbsiFdeeQVbtmzBe++9BwDYsWMH3n33XTz33HPo0qULunTpgmeffRZvvfUWvv76awDAypUrsX37drzyyivo2LEjrrzySjzyyCN49tlnUVZWZv1OISIiMqAKScJeWowfPx7PPfccXnjhBezYsQPjxo1DcXFxsKn45MmTMXTo0GD5fv36YcmSJZgzZw527tyJTz75BKNHj8Zvf/tbZGdnC90nbsP4yZsSJZpEJBriLV8Nu276nZ5siDeboJnbJkNrscjz10idou0rp7aOUnvcnX7uy4Txk36OS0SNGjUKffr0wZVXXhn2/q5du1BSUhI2enxqaiq6desWHD1+w4YNOHnyZFiZ7Oxs5OTkBMsUFRXB7/ejc+fOwTIXX3wx/H5/WJmcnJywg9azZ0+Ul5djw4YNUetdXl5ebRR8mTCLTUR0mhevh5WKT9hLi0GDBuHxxx/HtGnT0KFDB6xevRrLly9H8+bNAQAHDhxAcXFxsHx+fn6w5U5OTg4GDBiA1q1bY8mSJUL3hxsxfjKHFdcLIzeNWhNCeroQBpJXeutp102/U5MN0YiYXVDPeqwiekwsM5Ytg0TbYkbrsVCMnxg/aZFi25p1WLBgAb744gusW7eu2t8CfSSjjR7//fffB8vUrFkz7ElgoEzg8yUlJWjUqFG15Tdq1CisTOR66tevj5o1a8YcqX7GjBl44IEH1Gym5bx40SAiiqdH0gAUVi2yuxqeMHLkSIwcOTLq3+bNm1ftvTvvvBN33nmnybVyF8ZP5nBb/GRGNzmjOIC0WIFko1c5cduddswYP1nH6fGTY1pE7dmzB2PGjMErr7yCtLS0mOW0jB4fq0y08nrKhJo8eXLYCPh79uyJWyciIiKriB5sk+TB+Mn5nHQTKlqsFlrsWhSd1gGojbZmI/PpPf+jlYmW1OKxN4bxk36OSURt2LABhw4dQm5uLlJSUpCSkoJVq1bhiSeeQEpKSvAJW7zR47OyslBRUYGjR4/GLXPw4MFq6//hhx/CykSu5+jRozh58mTMkepTU1OrjYIvA7c9zSMiEsVL10dFSUKVgJeiOCas8AzGT+aw8/pg5MbRDTedTmshYiWts98FEn1u259uOM/jUZOcilYm0DUv9G96jn2i/cv4ifGTGo7Z4t///vfYsmULNm3aFHx16tQJN998MzZt2oSzzz4bWVlZYaPHV1RUYNWqVcHR43Nzc1GjRo2wMgcOHMDWrVuDZbp06YLS0lJ8/vnnwTKfffYZSktLw8ps3bo1bKrDlStXIjU1Fbm5uabuB5G8dJEgItKD10lyOsZP4jn5upDoptOKQa+NLtMJSRPZEiFO2GcihHbltPoY2H3M1R5jq1pEOfk6SdZwzBhR9erVQ05OTth7derUQcOGDYPvjx07FtOnT8c555yDc845B9OnT0ft2rUxePBgAIDf78ewYcMwYcIENGzYEA0aNMDEiRPRrl274OCdbdq0Qa9evTBixAj84x//AAD88Y9/RN++fdG6dWsAQF5eHtq2bYshQ4Zg5syZOHLkCCZOnIgRI0ZI86QuEV4ciIjU8cJ4B5XwoRLGm4WLWAaJxfhJLLPiJy2tfOKVM9paKNqg17GWqXVdosd7srNlVKLWJ15J/MhGREsfGcdKM1Og3lq+n2q3lfGTtuV4jWNaRKlx1113YezYsRg5ciQ6deqEffv2YeXKlahXr16wzGOPPYb+/ftj4MCBuOSSS1C7dm28+eabSE5ODpZ59dVX0a5dO+Tl5SEvLw8XXHABXn755eDfk5OT8fbbbyMtLQ2XXHIJBg4ciP79+2PWrFmWbi8REZEIVYqocQ7s3hLSg/GTvYwmVEKTIqJvhuPVLfIGNhERXcDUbKsVLVNCu7TJnIBQuy/sbs2jZ/1m1FnmYxmN3ceNGD8Z4VMUxYObbb+ysjL4/X6UlpZa/hSQraGIiLSz46me2b8VgeXf+tFA1Kxb0/DyKo5XYG73f9ny20beIEP8ZPcYRZEtF5w4s1y8VlaAs7bFS+w+96Oxok4ybneAHXXTuk7GT4l5MX5yVYsoSoxJKCIifdx8/RQx0GbgReRGod9/u29Io7XCCf237K0kEs3cZdW2JJotTu/MZG5m5bmvpaWdFWQ91nZfj9Rg/MT4KRrvbTERERGFqYJP2IvI67TesIq+wRXZ/S3avxOVT1Q21mxeof+NfF+UQF0D9Yi3fJFj5ZB2drc6jEyOyjIemQzL43n/K8ZP+jER5SFuzkYTEVmB11Ei79H6vRd5k6bmplH0+iJbJCVavpb1i0ySaU2Aha7fjCnrSW6hSchEZBr7y2gLwUQD6xPZhYkoIiIiDdyYjKpUfMJeRG5i5ix5AVaMb6OWLLO/xaqz3lnRRM7U50ROrbdIRpKQstBTd1m2142xE8D4yQgmooiIiDyOYxwQWUvtzaGIFkRm3Yia2QVRa52tnCnPiUTOMJhobC23knGbjbSQknF7nIjxk37e22KPcmsWmoiIiEgWWsdXUrscvcxMnMSb9S7a+1bXRQS336zrSfiJTsiJ2MdWJSJl0zO7veYx3OxsGcb7UQrFRJQH8EtPRCSW266rVfChShHw8uBgm+Reer7nerq2RbuRtPumV++Nfax62709eslcbxHjBWklYn/ESowYqZvMx0kt0d85tX+3GuMnxk8BTES5nNu+7EREsnDT9VURNOOL4sFAitzJyu+3rN3QzGBF3e2etdAqRsYLsnObZUuMyMLq/WLnd7Gq5FzT120Vxk/6MRFFRERERGQRK1ul2NFqJt6yrLjZ1roOLyZGZNxmGesU4NRkpd1kPqZkPyaiXMxNT+uJiGTkluuskGbl/3sROZ3Z32vRN2dax4hJVFZkoku2sYRIXjIfXzclVAL72c4ZMXtmt3dNqyjGT/oxEeVSbrk5IiKSnRuut5z1hei0WN9nmbt7xbuh1DqwtMytiWROBsg0k5yZ9RC9bFn2mZeInEHRyPp7Zrdn/OTx+Ml7W0xEREREpIHMCRoR3JgQsHLGQtEzyRmhtx5qtlv0NoYuT5b9Jwszu8gSyYCJKCIiIoOc/lSPTcuJqn+PI2/eZLuZE9lKy41JgETbFGt/GGkxYtU5YsZ64u0v2c59L9B7/sZalpXdaNVwyznF+Ek/JqJcyOk3REREZC0RM74EXkRuEXljJluyxm2ttKy+MTVj/1m1j60+lrKfO17klmPi9PtWxk/6MRFFRERERGQB2VsBxKqfFa2BZLmxlv0YEbmBLN93sg8TUS7j9KwyEZFTOfn6y6bl5HVO/v6KFOvmUE9rIBkSOnrHeyJ3kuGctIvVs3Vq4eTrL+Mn/ZiIchEnf4mJiNzAqddhBlLkZSK+t2pvyozeDDrpRjqwrUbqLHMrKyccC5lm8wtlZb1C1+OFJKPZ+zbasgPvGRlXj/GT9+InJqKIyNECP7iyBltEROQOMgz2LfuNtOiZvmRO3Ml+LID4s/nZGTtZOcugE46TSGbv28CyQwdAjzcYukyD/JNcmIhyCadmkYmMivzBZVKK7ObE6zGf6JFXOfH7aiUtLRxiJY703hR7LYFgtUD8FNpyTfbYSW/9ZN8upwr9jkZLgKn9Djv5u874ST8moojI0aIFTlY+aSMiIvcT0TrHidTeWMq6f6LViUmJ06K1KJfxGEZ2rdNy/GTeLicQ8V3Rsu+rSs41vD5yDiaiiMjRQp/oiRiPgsiL+ESPKD4ZbmRl/m0ze/+I2naZ96EeRloxOSV+0tvKRmtZEkfG88gsjJ/0YyLKBdisnOhXbA1FMnDadVkBUAWf4Zdi94YQaWDl91TrjVms1r4i1mnlTaKodanZdqsGjJeJyJjHrvjJrqSFl5IlicTaF1Z0q41cN+Mn72AiyuGc9mUlIvIKXp+J5GXG91PkYOYikwJqE1pm3Jhb2VLKTQkmL4kc5zPa/5u9Xq+zc19EWzfjJ29gIoqIiMjj2LSc6LR4U5MnItuNbejsVlrKO0m8OouewY/MF9pF0Inno5MZufaJ4sRjzvhJPyaiiIiIPI6BFHmJ1qftVt8cOTHpIWOd7Z7Bz4rWPU6Y6U4PtfvbjdtuF5HfFy9h/KQfE1EOxmaLRERy43WayDlkaYUhQx20El1nvQkG0YkJI8uLnNreDLIPNK5Hou1gd0zziDiHRJ2HjJ/cj4koIiIij+MTPaLYY9XISKaEi4h1Gh2Y3ejnrFqeaIEWUbKfr1ok2ueiv6du2ndGiTjfZf/OiMb4ST8mohyKWWIiImdwwvWagRR5hdrvoww3U1beIFs5qHi0dcqwv2WiZVyy0JcXiG4R5cb9Zsa1w46EHeMnd2MiioiIiIjIJnqmTrfq5llUaxs33uxHEnmj7oX9pRf3TeJzzYx9ZNZsm2yR5l1MRBEREXmcoviEvYhkpeXpOm+OfuXGG381x1ftORAo58b9ZCd+B2OzMhFt9md7Zrd39LFm/KQfE1EO5IRmikRE9CvZr9tV8Al7EZF6sgyQHosdXfaskGi7oh0XPS3XSD/uV2eIdZxEHT/GT+7FRBQRERERUQi1SYhotJS1+mZbZOIncll6li1TsiHR2EMy1ZXic3ILGy8QNTkBORsTUQ4je1aYiIiik/n6zcE2ye2iff/MShjJelMluvVV5LJk2e5ox1XNsZal/l4X71hp6e7lBmYl1MxO1Ikew4rxkzsxEUVERORxHOOAvMgtN6tqWbG9MgxcLLI1E1vWWE+GQfpl4bTtTTRemt4kscwYP+nHRBQRERERUQxOv1FSQ9Q2Gr1xlm1MKqclAojUUHte8/wnMzER5SAyN0skIqLEZL2Os2k5uVlVybmqypkxGLWeBI9Via9EYyLFKmtmPcz+nJZj6YUEJLlb6Dlsxfmc6PulprVirHoyfnIfJqKIiIgsJGMwxabl5FYyft8SsaoVgizjXmlJgolIntk9zhATXOYTMZC+W4jYdqPfJTdj/KQfE1FERERE5Fp6u6GYNV6RV5jR3U9E8iza+1beUHv5nLBK6D4WPUi/k+j97sRbjpr3tQh89xKNL0Xuw0SUQzjxiR4RETmDIqhZuRef6JF78YbIGD37z64WFvHqylYfzhJ5vLz+PY5MyskmUD81x0nG+2HGT/oxEUVERORxCgBFEfCye0OIXEbGG0czeT1pQNFpmW3N7hZvMuMYaeIxftKPiSgHkDH7S0RE+vG6TmQ+J3zPEt3s2ZWYcftNqJbts3MgdzpNzSDXWj8vG9nOo57Z7TXXSbZtILkxEUVERORxVfAJexFRdSv2b3bUTZqVN+5q94uacnYMRO6EJAfJz+rZOdXQWiezvwsr9m+W7gED4yf9mIgiIiLyOM76QmSuWAOhq71xsyOJJTJBFI/eweT1lBGZzCKShRkJIH4P1GH8pJ9jElEzZszARRddhHr16qFRo0bo378/vv7667AyiqJg6tSpyM7ORq1atdC9e3ds27YtrEx5eTnuvPNOZGRkoE6dOrj66quxd+/esDJHjx7FkCFD4Pf74ff7MWTIEPz4449hZYqLi9GvXz/UqVMHGRkZGD16NCoqKoRvt2xZXyIiEoPXd7IC4ycx7J5Bz45WNyISRHr3W+jnRN4Qi0hmheLNOjlNonM2Mkku0zkeqBPjJ3dwTCJq1apVGDVqFD799FMUFhbi1KlTyMvLw4kTJ4JlHn74YTz66KN48sknsW7dOmRlZaFHjx44duxYsMzYsWOxdOlSLFiwAGvWrMHx48fRt29fVFZWBssMHjwYmzZtwrvvvot3330XmzZtwpAhQ4J/r6ysRJ8+fXDixAmsWbMGCxYswOLFizFhwgRrdgYREZFAImZ8CbxILoyfxBCdCBKR7JDpBjEWEftN5q5vMtfNaZxwPotkVotDo+PORf6d53h8jJ/08ymK4shB2n/44Qc0atQIq1atwmWXXQZFUZCdnY2xY8di0qRJAE4/vcvMzMTf/vY33HbbbSgtLcWZZ56Jl19+GYMGDQIA7N+/H02bNsXy5cvRs2dP7NixA23btsWnn36Kzp07AwA+/fRTdOnSBV999RVat26Nd955B3379sWePXuQnZ0NAFiwYAHy8/Nx6NAhpKenJ6x/WVkZ/H4/SktL45ZnxpeIyL0KqxbF/bva3wq9Ass/f+GfkFw71fDyKn8qx7ZBM02rLxnH+ImcasX+zbwpppgC54eM54mMdbJCtO1OtC/U7ivGT87nmBZRkUpLSwEADRo0AADs2rULJSUlyMvLC5ZJTU1Ft27dsHbtWgDAhg0bcPLkybAy2dnZyMnJCZYpKiqC3+8PBlEAcPHFF8Pv94eVycnJCQZRANCzZ0+Ul5djw4YNUetbXl6OsrKysFciDKKIiNyN13myGuMnciov3siTeoHzQ8bzRM8MdKHifTZaN1ZZWpcZne0wHl7nnc+RiShFUTB+/Hj87ne/Q05ODgCgpKQEAJCZmRlWNjMzM/i3kpIS1KxZE/Xr149bplGjRtXW2ahRo7AykeupX78+atasGSwTacaMGcExE/x+P5o2bap1s4lIhcDMRKEvIoqPg216A+Mn95L5t86M8Z7s2l6Z9zP9SsbjZNYYcaF/syIZZ/a+lTGRGA/jJ/0cmYi644478OWXX2L+/PnV/ubzhR9ERVGqvRcpsky08nrKhJo8eTJKS0uDrz179sStExGplyjpJGNAQiQTBlLewPjJGCt/S7SuS+abt2g3ygF6f7ft2l6Z97NIssZNauvlxuMkyzEx2rpLDVm2VQ3GT/o5LhF15513YtmyZfjwww9x1llnBd/PysoCgGpP1A4dOhR8+paVlYWKigocPXo0bpmDBw9WW+8PP/wQViZyPUePHsXJkyerPekLSE1NRXp6etgrHjY3JFLHqumliczC6z1ZgfGTcU66uTXrN0/0cmPtUyftazeIfKAn44xpQOLzQrauabFEq1+i7nf8TpDbOCYRpSgK7rjjDixZsgQffPABWrZsGfb3li1bIisrC4WFhcH3KioqsGrVKnTt2hUAkJubixo1aoSVOXDgALZu3Ros06VLF5SWluLzzz8Plvnss89QWloaVmbr1q04cOBAsMzKlSuRmpqK3Nxc8RtP5CJWBbGRZfgDThSbF2Z9iRxnKN7LTRg/OZPR3yyzfvPMWq7siQMZmLmPAnGS02dMk3mcqFBax04SuT1azqNYCTNR9YlVF9mPXygvxE9mcUwiatSoUXjllVfw2muvoV69eigpKUFJSQl+/vlnAKebeo8dOxbTp0/H0qVLsXXrVuTn56N27doYPHgwAMDv92PYsGGYMGEC3n//fWzcuBF/+MMf0K5dO1x55ZUAgDZt2qBXr14YMWIEPv30U3z66acYMWIE+vbti9atWwMA8vLy0LZtWwwZMgQbN27E+++/j4kTJ2LEiBGeGeWeSI/QJ1WxftzMGNeJAS5RfIoi7iWrM844A/Xr14/7CpRxE8ZP/A2IRu8+MWtf2nnj6ZTzI14rJS+Ni+m2bXRay36ZkkQytCj3QvxklhS7K6DWnDlzAADdu3cPe3/u3LnIz88HANx11134+eefMXLkSBw9ehSdO3fGypUrUa9evWD5xx57DCkpKRg4cCB+/vln/P73v8e8efOQnJwcLPPqq69i9OjRwdlhrr76ajz55JPBvycnJ+Ptt9/GyJEjcckll6BWrVoYPHgwZs2aZdLWEzmfmqcqWpqCa/lBlulHkyiaHkkDEk5FTMZ8+OGHdlfBFl6Kn2LdlPA3oDqtU6rH+pyeZaj9vFXdkZxyfsTbH7J2pTODyHPMLqH1UFsfO+odbZ0i92FgvCkZjglZz6coXsy/2a+srAx+vx+lpaVRnwLKkOElEsms5reyDmhKpFW0RFSi3wqjAss/55W7kVw7zfDyKn/6Bd/+4SHT6ksU7zvhxthJxE2aHTd6vLkUL7BPI8dxMrKswP8HMDFAkew+HxIlqGM9xGP8JD/HdM3zEjcGUuRtiQZg1LtMLzz5I7KCF2d9+fHHH/HII49g+PDhGDFiBB577DGUlpbaXS2iICvGYkn0N72f8Uoiw+rZw0QkoWItT+bxlcw4R2UkY2xr9gNjo+u3+77Zi/GTKExEEZEjyRgoEZEzrF+/Hq1atcJjjz2GI0eO4PDhw3j00UfRqlUrfPHFF3ZXjzzAypvNRBN26Pk9TdRFzyusiEUCyYnIRJGR/Sxz0ika0eeoWcxOuhhZn13fS9HHwSnnLCXGRBQRmUr0eE+B8mo+wx8rInUUgS8nGDduHK6++mrs3r0bS5YswdKlS7Fr1y707dsXY8eOtbt65DFumDkqlFPrLYIVg7nbMfuwLPS0GIo1RqloolowJlpG6MQ/WtbnpOPsJF6Ln0RiIkoydjcvJBJN7Q+f2oRVvHKh0w/zB5ecxs7rv9ealq9fvx6TJk1CSsqvc7akpKTgrrvuwvr1622sGenltPjJ7b9RRm70rUocqKF1vWYd19BWUaHjOGlNzDhhdr3QukXWM3T71Yp2TMw4TtEmADCDzK3Z7DqvGD85ExNRROQIZrSsIiJvSk9PR3FxcbX39+zZEzZTHDmbU34TrBgHympGtsmqxEE00RIfMglNImkdLyo0kSXzLHvRZlOOV0ZWMtfRipZ7RIkwEUVE0kjU2omITOKxtuWDBg3CsGHDsHDhQuzZswd79+7FggULMHz4cNx00012V48kYedNulldh+xYr5PIHmtEa/Gt9phFa0El+/bq4ZTWc1YvL5RbjrsU1yuPxU8iMRFFRKYy2nw68u+xnpSyOx6RAaKaletoWv7000+jZcuWSEtLQ25uLj7++OO45cvLyzFlyhQ0b94cqampaNWqFV544QVN65w1axauu+46DB06FC1atEDz5s2Rn5+PG264AX/72980bwPJRfTMYnYwY3BmM/aH6C54RpfpVqEtmIwOUu7k70WoRGOrGT2PZOmWqZYV3xu955+rv9Mei59EYiKKiEylNujROpYUk0/kRk4b58aohQsXYuzYsZgyZQo2btyISy+9FL17947abS5g4MCBeP/99/H888/j66+/xvz583HeeedpWm/NmjXx97//HUePHsWmTZuwceNGHDlyBI899hhSU1ONbhZZTMT3JtqNkpoBos1IxNgp2m+qWa2VY431Y/fvukzHRc2Mh3bvL7uYnXhVO2i4WbTWX7ZEcyizzlGvnvuAffGTSCmJi5BVvHYDQt4i6gmVl390iMyiKKdfIpajxaOPPophw4Zh+PDhAIDHH38cK1aswJw5czBjxoxq5d99912sWrUKO3fuRIMGDQAALVq00F3f2rVro379+vD5fKhdu7bu5ZD7iJoByypmtgIzcz/IuI9lrBNQPTEqaz3VcsM2GCX7Poism8x17ZE0AIVViyxfr1fjJxHYIoqILBXrR0ymJ5BEXiN61peysrKwV3l5ebV1VlRUYMOGDcjLywt7Py8vD2vXro1az2XLlqFTp054+OGH0aRJE5x77rmYOHEifv75Z03bW1VVhWnTpsHv96N58+Zo1qwZzjjjDPzlL39BVVWVpmWRfIx0a4uV0DFz0GQRv39mtYyJHBhby2eMljGbTLPzaSVzQkAtWc5XvesRUX/ZjqNTzn+ZeC1+EomJKCKyFH/kiNyvadOm8Pv9wVe0p3OHDx9GZWUlMjMzw97PzMxESUlJ1OXu3LkTa9aswdatW7F06VI8/vjjeP311zFq1ChN9ZsyZQqefPJJPPTQQ9i4cSO++OILTJ8+HbNnz8af//xnTcsi0kvWadiNDmYd7zMyxADxWo/JdixCRZsxj04LPaZWtDLSO2B8PDJ089XaNZfEkz1+Eold84jINNGC2Vhd9GQO/oisZEvzcp0DZUZdDoA9e/YgPT09+Ha8cZd8vvD1KopS7b2Aqqoq+Hw+vPrqq/D7/QBON0+/4YYb8NRTT6FWrVqqqvniiy/iueeew9VXXx18r3379mjSpAlGjhyJBx98UNVyyH6xhjXQ21XNzt8iWbrpmJmgsSpRkKgOThRab6dug1lE7xut56iIbpN6661lfXrqpqZ8vOXa/X03ncfiJ5HYIoqIDFMziwYTT0TyCoxxIOIFAOnp6WGvaIFURkYGkpOTqz29O3ToULWnfAGNGzdGkyZNgkEUALRp0waKomDv3r2qt/fIkSNRB+g877zzcOTIEdXLIRIp1uDd5G08J8JZsT+MDsIvKzsGDZd5f4jgtfhJJCaiJMGByskNtM6s4/YfJyKKrWbNmsjNzUVhYWHY+4WFhejatWvUz1xyySXYv38/jh8/Hnzvm2++QVJSEs466yzV627fvj2efPLJau8/+eSTaN+e1yU3cOvvixuSEqImL/EKt57LsSQ6L2TbH3afx3btDzNmEjWqquRc29ZtJTvjJ5GYiCIiW3l56mEiaSgCXxqMHz8ezz33HF544QXs2LED48aNQ3FxMQoKCgAAkydPxtChQ4PlBw8ejIYNG+LWW2/F9u3bsXr1avzpT3/C//3f/2lqVv7www/jhRdeQNu2bYOzzrRt2xbz5s3DzJkztW0EScuO3xazZ4bVsk123yAnwt9+iiZWy0BZz2eR57HobTRrn8Xrbue577XH4ieRmIgiIqFiDaQpawBBROJnfVFr0KBBePzxxzFt2jR06NABq1evxvLly9G8eXMAwIEDB1BcXBwsX7duXRQWFuLHH39Ep06dcPPNN6Nfv3544oknNK23W7du+Oabb3Dttdfixx9/xJEjR3Ddddfh66+/xqWXXqppWUShjIzzIprnbgj/xy3xRmDYA7dsjxZ2tKKXIQkkU2tBrXWQoc52XPO8Fj+J5FMURWP+jUQoKyuD3+9HaWkp0tPT2TWPHC3aj0+0J1peDYqJtAoMVh75WyFaYPnN/nkfkmqnGV5e1U+/oPiP00yrL5HI+MnqQXRD1+eUAXztrqfd67eT0dkLyXlkOd/11EOWujN+cg62iCIiQ7Q8AQltLSXDkxMiCmFxs3K7HT16FLNmzQp2zXvkkUc4ULnHWH3TZHXSS817ichwY+lVkTOxkfvJ8n2zoh6uOqc9Fj+JwkSUBNgaitwo0SCGgRZTWpJSTGCRV1j9u2BX03K7rFq1Ci1btsQTTzyBo0eP4siRI3jiiSfQsmVLrFq1yu7qkUpqvycy/m6YfaMnqmuT3b+78eqsZrZeGY99qFh1dELd7cR9Ix+t1xdZkm5GeS1+EomJKCIyxMh4GG75ESIiZxk1ahQGDhyIXbt2YcmSJViyZAl27tyJG2+8EaNGjbK7ekSamXVjLvOEImoGdpe17gGhdYz2cC5eqygvJqtCH2aSO3ntnPYyJqKIyHH4I0UkmE2zvtjlu+++w4QJE5CcnBx8Lzk5GePHj8d3331nY81IBmpa2qgta3ZdnL4+Ldw4CUqiluHxttEJiTajONZoYmZ+D5z4HbO8p5HH4ieRmIgiIstpnRUkWpAWK3jz4hNCIuN8Al/yu/DCC7Fjx45q7+/YsQMdOnSwvkJkKtFdRmJNLy+C3htvUTfokcuR6fc0sm5uSEoEtsGKpJIT4yMjXTOdSuvYq4nOGyP7Se05KfJYOO977a34SSQmoohIanoGQ3fejxgRme3LL78MvkaPHo0xY8Zg1qxZWLNmDdasWYNZs2Zh3LhxGDt2rN1VJUm59cY3Hv6emiuydV1oYipRebXLj+zqp6f1lRmMrs+Oc9OKfaRlu2T5fto9s2bof8k5UuyuABG5n5qnx3rHjNLauoqIohDVLFzipuUdOnSAz+eDovxaybvuuqtaucGDB2PQoEFWVo1MZsaYhIkSBomIrhPHXXS+0FgpWkwTb7wota1iQv9rd/xk9Hy145y3+zumZ5vtrrNVbNtOD8RPZmEiiogMExHMGPkBYRKKyCAPBFK7du2yuwpkEzO6rem5IVTT4kVvXb1ys+k28WY3jDb0QOj5o2UsMzXrsOIcEpk84jlvD9mS3rbXxQPxk1nYNY+IhInXlFxPH3Y1CSYOZEluZfmAmy7XvHlz1a+APn364MCBAzbWmmK5xj/U1OWb8YBDRAsQK/Ehj/VCz5HAuFGRCdB4M+vFWlYku8aL0jLmkGznX7z6GKmrls/a3YpNL6P1ddr2kjpMRNnM7ECKSCZmdY0gIoMUn7iXi6xevRo///yz3dUgG6gZsNxqXuiGZKSVj4jlyypaUkrkINWyxVMyzggYrz5u+G7K/N3Qur2WPshj/KQbE1FEZKnI5uTRgiu12BqKSAxFEfcicpvIAaXtWK+IciKJXKfawbQDf9eyPD2fl1WsVkJaW5Q7eR+4kejjofe7aeYMnXbMvmcVxk/6MRFFREKpmelFbfIptIyWHz6Zf8hkrhsRkZeovR5raYUikppxgALlrCZynZHLMtrSx+mJlsjud3rjp2j/jnZOOWV/MX5SR8bjqedaa8X6yF5MRBGRYWrGKzDy4xIaQKkd80DGHyEZ60QE4NfBNkW8iEiYaL95esZPVEOG3yi940W6RbTWYbEeyAX+Fm/coNC/xUpsRht3ShZ2tUC0azw2GY+B3aTfJ4yfdGMiioiECQ1k1CaP9NDzNNBudgY4RAlxjAPyINl+J0QKTTpY3RohHj2/f1pbTDlNvAd5RsYlikxkhX4mVotzGeOTQGyptoWgCGbO5BwvYShy3C+ZuGEMrZgYP+nGRBQRGRLv6aXZPwSJWkfJyG0BNBER6SciMZOonEwzbel5iBRZbxm2Q5RYycJA0kVLUkPreRG6bqtiE9HHTsZzIdEQFSL3tYzbLxrjZvdiIoqIdIv1A2j1GBqiuwKaycqAj0gtnyLu5Sb33HMPGjRoYHc1KAERM62JuqHTuhwZW3nY3YI3cv2ytIgya1+EJoZCW/7Eim+idd9TE4/FGxtKtnMwWvl4LYkSkXWstUh6rh92snPyhljrtvqaxfhJvxS7K0BEziRDEipyvfF+pOz+sSaSmqjxCRwUSO3btw+ffPIJDh06hKqqqrC/jR49GgAwefJkO6pGGhm9vtv9gEC23ydZ6mP3cYkkeiDlQKIpXkuZaH+LNvtwtM9FW3asrnqy7etYtE5co2eb4n3O6H4y+nmtnzX7uMp4zlheJw/ETx9//DE6d+6MmjVrRv37L7/8gn/9618YOnSopuWyRRQR6SJjKySZxznQM/sfEZlj7ty5OPvsszFs2DDMmjULjz32WPD1+OOP2109EkzEdVe23xSr2Dkjn6ju97Ieu2jjagYkGmcz8v3QbnbRkg9quoXJsJ+MjJ8U63Oh/2+0ZZTRJJLI8U1FtPKS4ZhHitUiU5aWkV7UrVs3XHbZZThw4EDUv5eWluLWW2/VvFwmoohICLN/ENTO6hLth8rKrg/x8EeTpOWxwTbvu+8+3HfffSgtLcXu3buxa9eu4Gvnzp12V48s5vTuPTL8voWyopujlv0s22+vmnGwEr0f+FtkkiZewkVNFz67Z8+LdaxEHUOrYlWziWrpJNt3w5E8Ej/99NNPyM3NxWeffSZsmUxEEZFuap7u2L0+u4MqIiOu8Wtr5qybIvDlAD/99BNuvPFGJCUxDCLnk+FmUkRX+HhjGLlNrNYdavZBotZNsR7AJRpEO/SzohmJxayO4Yysz+q42I2itWSTmgfiJ5/Ph7fffht9+vRB9+7dMXfuXCHLZQRGRIYY6YOvhdGnn474MSMiSwwbNgyLFi2yuxrkIKJvMGV/QGJVq45Qon+nZd/HgL4xf7QsO/QVub7IhJYZrcdDuwrqPb5qEmjR/q2X2vVpYfe5aMf3mdxDURSkpqbi2WefxSOPPIKCggKMGTOm2viaWnGwciIyxIoET6Knf7Fm1RE5VS4HPidX88Bgm6FmzJiBvn374t1330W7du1Qo0aNsL8/+uijNtWMZOHFQX5DxRsAW215PesQSfZ9HKC2BUjoAOSh8U3k/8dKKCU6pqHjTJmVFBS5XKvGDDKaSAOs6RJo1thWlIDH4qeRI0ciJycHAwYMwLZt2ww91GOLKCKyhdYBM0U/SdOCSShyPQ80LQ81ffp0rFixAgcPHsSWLVuwcePG4GvTpk12V49MpqYlBa/1p2n9/QtNZlB8ka2T1IyBGTkuVLwkSawEV7R1mX28jH6frK5vKBmvBTIO3K11rD3XXCM8Fj8BwGWXXYZ169bh6NGjuOiii/Dll1/qWg5bRBGRLeI9HQt9OpdoUE8r+uPL8ANPROI8+uijeOGFF5Cfn293VYikZudDIDeLjG8SxT2h5SJjoNB4KlGrqGiJxWitq0QOhh3aPU/vcnk+OZvZLUyjsWyMTY9q1qwZPvnkEwwbNgx9+/bVtQwmoohIWpE/WlqbRzNwIVJJ1Iwtks/6EpCamopLLrnE7mqQTWRqTWDHDZqZ6+fvrjp6uzjGar0XmUCK1YIo1sM/M7rORa5D5PJ5njlLtKSr1u6/0vJA/NStWzfUrFmz2vtpaWl49dVX0aFDB8yZM0fzctk1j4gsE3gqlqg5bmhAFdmEV+vMK6HrdE0zYCLBfIq4lxOMGTMGs2fPtrsa5BAy/3ao/T2NxXE3fS6g53xKFMMkSq6Gtn7SMn6UiNjJjMG/jZBtFr54f4/1Nyu3wevdIBPxQvz04Ycf4owzzoj59z/96U/YuXOn5uWyRRQRWSbaoJqJut9Fazqud91ERADw+eef44MPPsBbb72F888/v9pg5UuWLLGpZiSa7E/YjdYt0edl3nZSL1Yrp0TDF0QuQ896zWLXuWn1etUMQK/ns1aRoQ5kr9///vcYNWoUrrvuuqh/P3z4MH77299qTkaxRZRBTz/9NFq2bIm0tDTk5ubi448/trtKRFKLHMMgMrhKNPaBnvURUQIeG2zzjDPOwHXXXYdu3bohIyMDfr8/7EXmclrsxN8RspuaVimRZQJxk5pB0Tlgf3VWDKrthH1s1vbL3NJUEw/ETx9++CEGDhyI+++/P+rfKysrsXv3bs3LZSLKgIULF2Ls2LGYMmUKNm7ciEsvvRS9e/dGcXGx3VUjklpkN7tYg3TK/iSbiJxp7ty5cV9kHqtjJ/6GGCPiZtGsG3qn3shqmV1MTWtwrfshWmJKxu+J3V3ojIxrZXaXOpF1sktozwhRZNtGN5kzZw7+/ve/49prr8Xx48er/d3n0z7GleZEVH5+PlavXq15RW706KOPYtiwYRg+fDjatGmDxx9/HE2bNtU1WBeRl0R7Shd4n09eiMiNGD+dxtjJWWQYyFxEVzOZYgAtdYkWJ0UmkrQsM9HyZGJVvcwYqF3vYPRGqB0PTqbvAjnHNddcg6KiImzfvh1dunTRNSZUJM2JqGPHjiEvLw/nnHMOpk+fjn379hmuhBNVVFRgw4YNyMvLC3s/Ly8Pa9eurVa+vLwcZWVlYS8iOi3egJgcZJzIfD4IGmzT7g1RqWXLljj77LNjvszA+El77AQkjp/4+yA/GRIdMtQhQMRYl7FmvwsVGVup/a54ZRBxM5mxLaISTVpnZjR7nDCjy7f7PsFL8VObNm3w+eefo2nTprjooovw3nvvGVqe5kTU4sWLsW/fPtxxxx1YtGgRWrRogd69e+P111/HyZMnDVXGSQ4fPozKykpkZmaGvZ+ZmYmSkpJq5WfMmBE2/kTTpk2tqiqR7Yw+qQttvmvkx8ZNQQ6RUIHph0W8HGDs2LEYM2ZM8DVy5Eh06dIFpaWl+OMf/2jKOhk/aY+dgNjx09JvtgDQN909iWHVvpUpiWSleImlaMmCeAkENd3vzGgZpIWVrYUixyO1ipFuqmrr6YTvi+hrh5FulIZ5LH7y+/14++23MWLECFx11VV47LHHdC9L1xhRDRs2xJgxY7Bx40Z8/vnn+M1vfoMhQ4YgOzsb48aNw7fffqu7Qk4T2R9SUZSofSQnT56M0tLS4GvPnj1WVZHIdlrGQ4j8t9HBykM/64QfZyIyX2gSasyYMZg4cSJeffVVTJs2DV9//bVp62X8dJra2AnwZvzELuruZeQYhMYy0ZJUidalpqVMrMljnC7ag06RtD5wVbN+u/Y/Y2WKFPn77PP58NBDD+Hll1/Gn//8ZwwfPlzXcg0NVn7gwAGsXLkSK1euRHJyMq666ips27YNbdu2NZQdc4KMjAwkJydXe4J36NChak/6ACA1NRXp6elhLyIK/1GODK4iW0MRkUk8MOuLGr1798bixYtNX49X4yetsRMQO3669tx2qtbJm6pfid4XTty3dscT8cbC1Fuv0NgpXvc9NccrUfc/M+mZGdDo+swYPFzU4O9O/H6pFW2cMxHLsoUH4idFiV65QYMGYc2aNdiyZYuu5aZo/cDJkyexbNkyzJ07FytXrsQFF1yAcePG4eabb0a9evUAAAsWLMDtt9+OcePG6aqUE9SsWRO5ubkoLCzEtddeG3y/sLAQ11xzjY01I5JfZPPvWMFStKbTtv/gELmRqCBI4kBKjddffx0NGjQwZdmMn+SMnWScMUzvjFiybYeMZNhH0eqgpetcvOVEKx9rZmItnzWb2rrpGaDe6oHDZTjHnMTx+8sD8dOHH34YMzbq0KEDNmzYgLffflvzcjUnoho3boyqqircdNNN+Pzzz9GhQ4dqZXr27IkzzjhDc2WcZvz48RgyZAg6deqELl264J///CeKi4tRUFBgd9WIpBQINBz/o0NEjtaxY8ewpuaKoqCkpAQ//PADnn76aVPWyfjpNMZOiam9Kfdy8klrUkXm/aRn/KZorUjiLUPrPjBzFuNY67NrmUbOD7POLZnOWZnqQvbo1q1b3L83bNgQQ4cO1bxczYmoxx57DAMGDEBaWlrMMvXr18euXbs0V8ZpBg0ahP/+97+YNm0aDhw4gJycHCxfvhzNmze3u2pEUtL6QxYIhEL/qxV/QIkSC8zaImI5TtC/f/+wfyclJeHMM89E9+7dcd5555myTsZPp8kSO8n8YERtNx87u1HZTWtSRTaxjmus97V0s4tsAaUnoSR77BRaPyvqqva4yC5RTC37cZeRF+KnpKSkqOM4pqeno3Xr1rjrrrtw3XXXaV6uT4nV6Y9MVVZWBr/fj+64Bim+GnZXh0g6kT+GTESRF51STuIjvIHS0lJTxhYM/Ba1+OuDSIqTIFGr6pdfsPveKabVl8iq+MkJvx1OqCNpZ6RFXGjLqXgzw6lthSXD+WV3PeyeTTBUvH1hVssuUfvf6uPI+EmcN954I+r7P/74Iz7//HPMnTsXL774IgYMGKBpuYYGKyciEily4EitM74QEanxxRdfhA2u+cYbb6B///645557UFFRYWPNyA2M/lZpnYGLEpMtfog3UHa87nexyqmNn7QkVWQ5v+yuhwxJMDXM6iKo9z1yj2uuuSbq65ZbbsFTTz2FmTNnYtasWZqXy0QUEUkp2ox5Wn9k7X6KRuQYHpj1JdRtt92Gb775BgCwc+dODBo0CLVr18aiRYtw11132Vw7koHeFriiRSYQAv8vevYwt3NiLKCnzokmgdE6WLms1CRDRCaE7Tp/oh1HM45NvO6/diYtHfFA2mPxUzR5eXnBmEoLJqKISBqx+t+HJqWMLo+IqguMcSDi5QTffPNNcLDwRYsWoVu3bnjttdcwb948LF682N7KkeuIvnmyY2wrKW8AHU5t9zs9y41MosRbjtaBz2VgdBwtveuQgdbZFa1ev+jP6fVG6UuWrMdr8VM0P//8c9zxL2NhIoqIpBB4whtrvANA3qCAiJxFURRUVVUBAN577z1cddVVAICmTZvi8OHDdlaNBLNj5i+RN8Cilql2fUbKWMXsY2rFOaO1+52a5ekdvF6mY6uW3mNkR0LVqnXKNJZVJL37IF5ykclxeTz77LPo2LGj5s8xEUVEhon6MYj1hIs/NkQmU3ziXg7QqVMn/PWvf8XLL7+MVatWoU+fPgCAXbt2ITMz0+bakd3MaMFE+tjRWseO4xXrnEv0frSumwHxkl1a16eXWfGb3i6GahOAIutt1flkVgs7q9h5nhrigfhp/PjxUV/Dhg1D+/btMXfuXDz44IOal5tiQl2JyGOM/sgmGstJz9hQIupFZLc3Sl+C3+83f0WixidwSNPyxx9/HDfffDP+/e9/Y8qUKfjNb34DAHj99dfRtWtXm2tHduNvh/0CcYHIYyHjuJGhLd5C65doFrPQ/+qJn7S+r5fd+1vvdtpdb7NoSVaJnFXRjP0pzTHyQPy0cePGqO+np6ejV69eGDlyJJo3b655uUxEEZHtRAeaRETxXHDBBWGz5gXMnDkTycnJwX/Pnz8fV199NerUqWNl9UggaW5WHMqu5I0ZD7hkPReiJd3idcmM7J4k6hjJmKhzO5n2uRnJX3KH559/Hi1atEBSktjOdOyaR0S2Ejn7D8eTItKHg22elpaWhho1agT/fdttt+HgwYM21ojIXPG6dgHW/ZbqiQPifcZJMUDkEARq9kW02CnRsYy2jMh6OJGTH0DKtM+11sWKusu0f2LxQvx0zjnnhI2fOWjQICGxERNRROQKTEIRGaAIfLmIorhsg0h6Vt9UWzEYupZ6iPiM2kSOGYwMyqxnWIHQFixa94fa8ZJkZ9a56/T94gRaY3cph97wQPwUGQstX74cJ06cMLxcJqKIyFaimgGzOTERETmdXb9jWgYKll28fWj2jayR5cZqGRWtpVNozBOvJVSirl8ydQ3TSm/LL7XUnEd61uHEWR9luRY49Vyl6JiIIiJX4Y8UkQ6impVL/ESPKBFZbrbMpKULnht/T2XYJjUztoUmiBK1eIo14Hm8z0jZskQjuwbKln38MTWDjItcphnDaziKB+Inn88Hn89X7T2jOFg5ERGR14kKgiQOpIgSkelm0iyR2yjzQNdObq0TT7Rt0jpQdKxEkp2zmGmh59jKcj4YrYNZXdDU7h9ZZ0aU4djq4oH4SVEU5OfnIzU1FQDwyy+/oKCgoNpELkuWLNG0XLaIIiJHETm4ORERkShu+W0S3WJC73qtuDHVe8xEHGu14+NEi3u0DkegdSBzs5l9bGXZTr3iHV+7JxaQndOPvYxuueUWNGrUCH6/H36/H3/4wx+QnZ0d/HfgpRVbRBGR5Yw81eIPLZEJPPBET4/mzZuHzaJH8pGllYQo0bZHyzZq3R8ydckzo/WHyHWK+JyeZUQbVFxvyyknf1fMqLvRMbSsuv7EWk/k+267HqqhtjuqaTwQP82dO9eU5bJFFBFZLjSoivUiIut4YfphPbZu3YqmTZvaXQ1yCLOSE5E3mmbXwQijv99W/f5bGWeoGRNKjUArmcBYUJExk4iWU04WK1EXb/8anTlQz77VMqtjaCIxWnc9rxxbmTF+0o8tomz2RulLuP6MYXZXg8gW/AElIivVr19f1QCbR44csaA2JIKR3xEvth4wm1X704pxemLR2+osVusVPa3dZGrJJgujMxaKXmZA4LhpPd5m1MUrCqsWoayszO5qUAJMRBEREZEnPP7448H/VxQFt99+O6ZNm4ZGjRrZVymyjRNv7Jw2ILiIroIiliuSqERCtFnuzFivl8g4o53abpFaz+l45Z2SZNf6HYi1DHImJqKIiIgkZOkTPQ+McQCcHnAz1J133onrr78eZ599tk01Ir3sblFu9Y2eWbPbmb0Ndozr4yRu2Q4RRBxXt+xPNcmraC3tZBjPSisZ66SJR+InM3CMKCIiIiIiD4g2do7IcZ2MLEvLWElmkGHcqMhj4sQxM0WOt+TE7Y/FrPHdRHXT1Lqv3XRsyB5MRBEREXkcB9sk0sbqp/hmrk/keEmhgyo77UY12myFVq0r8n0nz3JndD/qmR3QCdR0zbOT1oHb7To2du+nSIyf9GMiioiIiH5tXm7kRSQ52W5iQiVqJSOaWbP86V2+bEkHM8bjkvn8M4sTzgNRx8XIcrTMjml0+YnKyXyeynadAMD4SSeOEUVERESeMH78+LB/V1RU4MEHH4Tf7w97/9FHH7WyWmQhGW5iZB2rRRSj2+bW/WP2Nrl1v1lB1H6L1hos2kyJVtVHL1GDphPFw0QUERGR13lksM2NGzeG/btr167YuXNn2Hs+n8/KKpEkZL6ZkrVe8RjZn7Jvr6zniox1MkJvEsdq8eol0wx+Zu0/2Y5JYdUia1fokfjJDExESaCwahF6JA2wuxpERCQJqwMpUeMTyD7GwYcffmh3FUigwqpFqCo5V9iNkFU3umpvWklOZh4nWZMtdpAliRMvIeak4+WUejqNV+InM3CMKCIiIvKEPXv2xP37yZMnsXr1aotqQ2bSOsYJb9LEjkvD/amPG2YEtIpd2xQ5OH80Mu1vO+oSuU6RdZBp35IxTEQRERF5nYiBNh0w4Gbz5s1x7bXX4vjx41H/fuTIEVx++eUW14qMEHHjHrix8XryJN728+bP2dx2bpvZEinyXNczeHe0z3j5OyTyWEl3LnskfjIDE1FEREQe56Xph9etW4eLL7642thQAYrigI2ghPTerHj5ZtHreOzNI3rfWjHwe+T6jLay1DoAuF4ynMfSJYtM5KX4STQmooiIiMgTfD4f3n//fZx11lm46KKL8N5770UtQ84hQ7cTp1OzPbLfWMbaBi3HSvZtdIJYrYCsSsKI0DO7fdT6imx9qaYOosh0Xtt9bEkuTERJwvIR/omIiAJsbFr+9NNPo2XLlkhLS0Nubi4+/vhjVZ/75JNPkJKSgg4dOqhel6IoqF+/Pt555x0MGzYMV111FR577DHtlSZpiLjJUjPmi5tZsc0iEkXxmDEA/Ir9m11942zGtokYYFztZ9x+fPSKHFhdFLO/wyLYcj/tkfjJDExEEREReZ1NgdTChQsxduxYTJkyBRs3bsSll16K3r17o7i4OO7nSktLMXToUPz+97/XtsL/8fl8ePjhh/Hiiy/i3nvvxS233IKKigpdyyLv8WKyyigZZgrU07VKT5cskcxct9PP41gtl/Sw6hg7fZ9H48Zt0sRj8ZNITEQRERFJxEstZB999FEMGzYMw4cPR5s2bfD444+jadOmmDNnTtzP3XbbbRg8eDC6dOliaP033XQT1qxZg1WrVuGyyy7Dvn37DC2PrCfy+yLTk/14ZKinqDpYuS16b5jVfM6s7XDbTb6I/SR6XwcGPtezXNlngxOZqBPRvdJt57Od7I6fRGAiioh0kyEYJiLjRA+2WVZWFvYqLy+vts6Kigps2LABeXl5Ye/n5eVh7dq1Mes6d+5cfPfdd7j//vuFbHvHjh2xbt06pKam4sorrxSyTJJftN+vRDdJan/zZPxtlHWwaLtbHIni1RtsowN461mf6PGmAsvT+v1XWxc7xoUi63g5fjKKiSgi0o0/mkQuIbhpedOmTeH3+4OvGTNmVFvl4cOHUVlZiczMzLD3MzMzUVJSErWa3377Le6++268+uqrSElJ0byZzZs3R3JycrX3zzzzTLz//vu46aabOGsexSTLb56Z4+7YId6YNmYkqeIt0w1JMStZPTtlvPVpSS7rWb+ebdWaODNCpm6cdlxvbPvueiR+MgMTURLxUncMIiJyrz179qC0tDT4mjx5csyykbPUKYoSdea6yspKDB48GA888ADOPfdcXfXatWsXGjZsGPVvKSkpeOqpp1BVVaVr2UQBMid9ZCdisGut60j0NyanErO6ZZTRZYqe5MDM9agVLaHrpXM3Kesbu6sghKzxkxmYiCIiIvI6wU/00tPTw16pqanVVpmRkYHk5ORqT+8OHTpU7SkfABw7dgzr16/HHXfcgZSUFKSkpGDatGnYvHkzUlJS8MEHH+jbdEXBBx98gLfffhtHjx7VtQxyHiaL7CXTDXKiuog4V9w64HkAv09yUdPdUKbvoKN5OH4yiokoIiIiSdjVMlb0GAdq1KxZE7m5uSgsLAx7v7CwEF27dq1WPj09HVu2bMGmTZuCr4KCArRu3RqbNm1C586dE67zxx9/xC233IJ27dphxIgRKCsrw6WXXoorr7wS/fr1w3nnnYcvv/xS/UaQFER/b5x2g2bG4M1mMzNxIUPrHDvWYeW6Zf2OeLElUDRqup86pfWfjHUK5ZX4yQxMRBEREZEtxo8fj+eeew4vvPACduzYgXHjxqG4uBgFBQUAgMmTJ2Po0KEAgKSkJOTk5IS9GjVqhLS0NOTk5KBOnToJ1zdx4kQUFRVh0KBB2LJlC3r16oXKykoUFRXhs88+Q9u2bTFlyhRTt5nMIfvNSjxm1d2McXicwC0DoMvM7n1sZFY2L5wb8Y5PtL/FS07Zze5zTVZWx09mkGOkKiIiIrJPSLNww8vRYNCgQfjvf/+LadOm4cCBA8jJycHy5cvRvHlzAMCBAwdQXFwsoGKnvfPOO3jttdfQrVs33HrrrWjatCk++OCD4NPAv/3tb7j66quFrY+cyeqbMaPri/V5u6Zul4HT6utEgQSBHfs60TrVjAMm23ktuj4ybZtoUh07j8RPZmCLKMlwwHIiIm+y8/pvR9PygJEjR2L37t0oLy/Hhg0bcNlllwX/Nm/ePHz00UcxPzt16lRs2rRJ9boOHjwYHKizSZMmSEtLQ9OmTYN/b9asGX744QfN20D2Ez1QrYgn8FY+xZdpxizAGa1OWEfjEp0bMn+PQhNSRiVahpp12DWwuVnrVrtfQ8vpbenG+Mn8+MkMTEQRERGRJ1RVVSE5OTn47+Tk5LAZZqLNNkOkl9YuJUZuiKVpHfA/sk1ZH62cFUkUo2Q7rlrFqr+WfWv2PrBiBr1oM9rF+rdR0ZYnw7kci5797/TvBZ3GrnlEREReZ1PTcjs899xzqFu3LgDg1KlTmDdvHjIyMgCcnlmGCOCNjlUCXWz0drVR+5nIRICaJBTPgV+F7g+jxwyIn6By+n5PtA1mt0aKtjyz9mm8bfVMgslD8ZNoTERJqLBqEXokDbC7GkRE5BUeCaSaNWuGZ599NvjvrKwsvPzyy9XKEImi5cbKkTdhBsWaZl5PQkLtZ0SV8ZLQ/RHrmIlaj13JKFHr9eK5Y/UxC12f7cPaeCR+MgO75hEREZEn7N69G7t27Ur4InIaM7reWNWdR0+3uWi8kACQuYuVqLqJHGRfz3oDn5N5X1sl0T4wMylJ7sdEFBERkc3sfqLnE/iSXVVVFV544QX07dsXOTk5aNeuHa655hq89NJLUBQPPpJ0Eb3fIzfccJp5I2jm/nFDVyw99O5TmfdVtFZtdoo3LpOaz8m8r51MxHkh07HxUvwkmiMSUbt378awYcPQsmVL1KpVC61atcL999+PioqKsHLFxcXo168f6tSpg4yMDIwePbpamS1btqBbt26oVasWmjRpgmnTplULPFetWoXc3FykpaXh7LPPxjPPPFOtTosXL0bbtm2RmpqKtm3bYunSpeI3nIiIyAqKwJfEFEVBv379MHz4cOzbtw/t2rXD+eefj927dyM/Px/XXnut3VUUivGTOjLd1MjE7BtyEUkoUckOqwd4tvOci7ddK/Zv1r3dkZ9Ts41mJzm11MUKVm2vKFonXFC7TFfxSPxkBkckor766itUVVXhH//4B7Zt24bHHnsMzzzzDO65555gmcrKSvTp0wcnTpzAmjVrsGDBAixevBgTJkwIlikrK0OPHj2QnZ2NdevWYfbs2Zg1axYeffTRYJldu3bhqquuwqWXXoqNGzfinnvuwejRo7F48eJgmaKiIgwaNAhDhgzB5s2bMWTIEAwcOBCfffaZNTuEiIiINJs3bx4+/vhjvP/++9i4cSPmz5+PBQsWYPPmzXjvvffwwQcf4KWXXrK7msIwfrKe02asMpPabj1qy6tZhtY6xKtL5E24nvrJdOwDdUk0kLboAchFf0aGZUej5lg7cXutTBZr/b7Y3ZqcjPEpDm2HPnPmTMyZMwc7d+4EALzzzjvo27cv9uzZg+zsbADAggULkJ+fj0OHDiE9PR1z5szB5MmTcfDgQaSmpgIAHnroIcyePRt79+6Fz+fDpEmTsGzZMuzYsSO4roKCAmzevBlFRUUAgEGDBqGsrAzvvPNOsEyvXr1Qv359zJ8/X1X9y8rK4Pf7UVpaivT09KhlOGA5EZH7xQuk1PxWGBFY/vkF05GcmmZ4eZXlv2DbM/eYVl+j8vLycMUVV+Duu++O+vfp06dj1apVWLFihcU1sw7jJ9LCq13nAHdse7TZ7rwoctvdtC/ctC1arNi/GUlZ38T8O+Mn+TmiRVQ0paWlaNCgQfDfRUVFyMnJCQZRANCzZ0+Ul5djw4YNwTLdunULBlGBMvv378fu3buDZfLy8sLW1bNnT6xfvx4nT56MW2bt2rUx61teXo6ysrKwFxERkRQ80rT8yy+/RK9evWL+vXfv3ti8WZ4WDGZg/OQOVrW0sXomLJnYNXObSNFmuwtdj2z73CyRx9Ku8axEr8erSSipeCR+MoMjE1HfffcdZs+ejYKCguB7JSUlyMzMDCtXv3591KxZEyUlJTHLBP6dqMypU6dw+PDhuGUCy4hmxowZ8Pv9wVfTpk21bDIREREZdOTIkWq/36EyMzNx9OhRC2tkLcZP6jjh5tzOBJFZ+8fMsaii/b/ZzOhqKIpZ43+p2WYjx0Dk8bNjDCkr1uOE65cITMA5n62JqKlTp8Ln88V9rV+/Puwz+/fvR69evTBgwAAMHz487G8+X/Xx5hVFCXs/skygZ6KIMtHWHzB58mSUlpYGX3v27IlZloiIyHIeeJpXWVmJlJSUmH9PTk7GqVOnLKyRPoyfyErRWpOovdmVYVylWK2CjLB7PCBZqdlmPftFzfhWWumdVc9OagaE9+J5ZzsPxE9miB2NWeCOO+7AjTfeGLdMixYtgv+/f/9+XH755ejSpQv++c9/hpXLysqqNtjl0aNHcfLkyeDTt6ysrGpP3Q4dOgQACcukpKSgYcOGccvEe8qampoa1qRdjcKqRRzngIjIxWQZaNOnnH6JWI7MFEVBfn5+zN/j8vJyi2ukD+On+IzGT3pv5LzUTUbtdhoZwFrm/SnzTIJmsqt+Zq9T5n0eyqp6mnWc4y1X6zoZPzmfrS2iMjIycN5558V9paWdHvxr37596N69Oy688ELMnTsXSUnhVe/SpQu2bt2KAwcOBN9buXIlUlNTkZubGyyzevXqsCmJV65ciezs7GDA1qVLFxQWFoYte+XKlejUqRNq1KgRt0zXrl3F7BgiIiIS7pZbbkGjRo3CunqFvho1aoShQ4faXc2EGD/JySk3swGytwJx2v4MMLJfQ5Nwopcdi5ZlOuGYyHxeJ+rmavfxtZMTzi0SyxGz5u3fvx/dunVDs2bN8NJLLyE5OTn4t6ysLACnm9t36NABmZmZmDlzJo4cOYL8/Hz0798fs2fPBnB6gM7WrVvjiiuuwD333INvv/0W+fn5uO+++4LTFO/atQs5OTm47bbbMGLECBQVFaGgoADz58/H9ddfDwBYu3YtLrvsMjz44IO45ppr8MYbb+Dee+/FmjVr0LlzZ1XbpHYkf7aIIiJyr0RP9Kya9SVnxHQk1xQw60vFL9j6rLdmfZEZ4yfrGW1JIHuLGKcQsR/tOhZqu6F59Vwzs956l+3kYyHjutV8Bxg/OZ8jElHz5s3DrbfeGvVvodUvLi7GyJEj8cEHH6BWrVoYPHgwZs2aFdake8uWLRg1ahQ+//xz1K9fHwUFBbjvvvvCxidYtWoVxo0bh23btiE7OxuTJk0KG9gTAF5//XXce++92LlzJ1q1aoUHH3wQ1113nept0vLlYDKKiMh91DQrtyqQajdcXCC15TlvBVIyY/xUPX5y6s231/A42cvu/e/kxI7o9du9LXZIlIhi/OQOjkhEuRETUURE3sZAikg7PfGTk27krKir7PtDxhYaMq3fjIG7ZaF1/9vVgsmqZRpdrh3ns9nrVDs2FOMn+dk6RhQRERFJQMSMLx6e+YXkpmWWN730Ll/NLFiixRssWC+j+zf082r3gRnHVMT+FzFGVLxl9sxu79gkVLx9Y3cC0iitCTQzlivys6QS4yfdmIhyAFlmBSAiIjFku64HZn0R8SKShWzfs1AyDiBs5w2vkdn1AmTYp0Za6ET7/wA1y9Sz/Vbvs3jbIeIciCdestPqhI2bE0Sh2yby/JLh+x0N4yf9mIhyCJmDKSIiIiKZWZm0ULPsQH3M6srjRUbHFNLzN1F1CG21p3UZkZ+TfRY8u85PNyd/ZCVyn/fMbs/7YZdhIoqIiMjr2LScCMCvN8lab5ZDb7jsvuG1e/16WJ2c0NIl0mgLJ7WMJLFELMcqZs54Z2Z5N7EiES+yu67UGD/pxkQUERGRhaR8osdAilwq1vct0c2wWeNKiVimVTdoVt4Iuq1rlOzJIDdSO8i7mvJqzn0nJ75Enp+x9quRAdaNfN5yjJ90YyKKiIiIiAjOSFCo6WZo1uDLMt1MW5HUs2qMmxX7N0u1b+2idh/oSQJp+e6pKau1K6TeLpd2s7obs2MSUGQYE1EOIuVTdCIiUk3W6zgH2yQ30/q9MzpWj5tZMQOhWkZbtASWEa+syLHFrGqFJ8vx0UPtd07rd9PM5IZZy5YlIaPmvLUC4yf3YSKKiIjI69i0nDwo1g27LDeAakWrr+w33mYnS0S3ftFTVotE3Zm0tBRK1FLHqV1OI/8ua8It0QyIVrJ7/Vo5rb4AGD8ZwEQUEREREZGDOOWmPBqt3aTMqoOT6GkpFOszZux7o8tUc06oHZTdzmOrZRwqK9i9/njYLY+YiHIYWZslEhFRfDJfv32KIuxFJKNo3z/RNz1W3UTFuoGz6wbcyAyDdpGhDlaTOfmmdbwlNcuyQ8/s9mHrt3s2SLuXk4jaY8X4yZ2YiHIgmb+MRERUnfTXbTYtJ3KMyJvd0PcB6wbYjlyv0eWIIHOyxW4yJt8iB2mXsY7RmDVAuVGi1md0xjuR62D85F5MRBERERERuYiohIyWG1I1g37LNDZUJFnGTrI6kWg1O7uv2fG9MJNsx9cJ48eRPJiIIiIi8jjO+kJeIPuTdVHjPgVaTFmdBFE75b3edZg9ILYsYyeJrIcsCZNQasaxsmLdZrEykSJibK54/7aDjOdsPIyf9GMiyqFkD6aIiOg0R1yv2bScPELm76MMY1ZFfsaMG1O92yli/yRahtk34pFd0ZzGCXUP3ceR/7Vi3Wrek5VVLRfVkvl6HcT4STcmooiIiIiIVDCrVY4sN36R7Og2ZecAz2aPjRNrfC/RzGoNZ1bdRSboou1jK8/jROuWqeullTMrEkViIsrBHJElJiLyMKdcp9m0nEgdPTdoasbEUfueVexIjAW67YlslaEmwWFFSyuraa1P6H63g4gEXazZJK2ktntqKLO7wzoV4yf3YyKKiIjI69i0nMi05EvouEiytnyKZPYNbqz9oGX8ILUteGItJ/TzWo+LWV3s4i3TzHNHxoSG1u21YxtEHBOZ9r1Trk9SYfykGxNRREREROQZop+0a+3SZGaywcwbSZHLlmG8JyODZpvVxS7eMvXMYChTYsGuxJLZCTw79rFZiVA1SVsiUZiIcjinNFskIvIaJ12f2bScvKawapGwaeS1fC5RWaM332a2rpCp5YYadg9MbqVY57IdY3zFYub4UnasN7Buq78XgXWKXq9M3wfGT97ARBQREZHXsWk5eZRdYyGZuW6ZbiijUVM/O2c5s4rVLczM3u92JSrNHmDejHXLuE5RrfHUkv06pRrjJ92YiHIBJ2WNiYi8gNdlIvklZX1j6/rtuKHUy+qkiRU3+GYNkK1l/VbSu99dkzCIIGL/6903emfOtOtYiF5vvOUxfvIOJqKIiIiIzcrJk2RP2ohcr0xJE1H7SO1yzByI3op1hY75JGo2QbV/UzPLm2zJKiP10fJZvTPg6Z0l02mtzrQu06lJKMZP+jARRURE5HWKIu5F5HFuulk0i6i6Rg4WrWY2PrOZedNupBVX6L4x0g1LbxLFTJGDsxvZR0a2xe794BSu2k+Mn3RjIsolnJpBJiJyG16PiZwj3vdVtlYeRjl1evtE1M5+56TjadaMaE7aB1qoHZzdzoHNtdSDyAuYiHIR3vwQEdnLqddhzvpCXmbke8sbyvisSH4Y6Q4lg2j1D62r1eNz2c3M88Xs7ddzLsp4DTGze2ksjJ/s3hLrMRFFRETkdYrAF5FLyHLT6lRGu0mpZUYrqFifM3rMEiWdorGyJZMM56Sdg4gbXZaeMaOckBykOBg/6cZElMs4NZtMROR0vP4SOZfe768TbyKtukmXYd+IHEw68n09+1HvPom3XlEDmEeuRw8ZElmA2HNP5JhRZiQyzWDGeRBvmYyfvImJKBfil5mIiLTwVYl7EZHcZLlJt4raQbq1kmVQerUDmItMWMUSrfWWnnWaOQOknYyeM074vgHa6un0+1bGT/oxEUVEROR1bFpOZDmn3FQ6XSA5ojV5EW82PlGJkGjLMavFmpEZ97SIligzuowAEbPimcWsc4Qkx/hJNyaiiIiIDHL6Ez0isud7bMVA3rwh1p6EWbF/c7B86P9H+5uRfRytTiLHSHJbslOGFkWxjnWsc4Sq4zWJACaiXIs3RURE1nDD9ZazvhCd5obvcyirWsG4QawufPFa+AT2b6IWPNHe15vAcvoA2CKSEHYmMtTsW63ng0ysqGNg/7jhesv4ST8mooiIiLxOUcS9iEg1mRMGXmPGsYg36LmIgctFUZt8EJGkEFF/p35v9NTb6uSVU/etbRg/6cZElIu5IctMRCQzXmeJ3Iffa29Rc6Ovt+VSos/JMkud2np4OUlhV2smt+5zXmeJiSiX45eciMgcbrq+smk5UTg3fb8j6Rm02+4uRWau30hXq0SfUTubnV6hY1W5hQzbEq0OViWEZN1+kZ930/WV8ZN+TER5gJu+7EREMnDddVUR+CJyCdd9z/8nMIuclvJ2S1SHwPbIcBOvldu7qmlNZMqwLWbWwexWciKIGhQ+2ra67rrK+Ek3JqKIiIiIiGxmZRJF642m1uRVqHgDdotaXmB79N5Ai9r3WpYjQ0szswVmj5MhuZKIVcdD1L5w+7lD7sdElEe4LvtMRETCsGk5kTiJbhDVTP8ump2DTIveLisHFY8m2r4MvKdlOaISNNESKGZ2rZK9dZPefeGUhFlAaF1lTUpF7k833o8yftKPiSgiIiIN3BhIcdYXoujM+L4baV0k4zr1LtdJN/2hotXbzm2JlkAxerzjbY+V26p1IPlAC6xQdnzftDBrsHw7xKunK2MngPGTAUxEEREREREJYtbg10aZtU6nJpTUiNf6SXZGjova5Ije7mxaWilpKROrvMznqJZttKM1pRay1IOcgYkoD3FtJpqIyCJuvY6yaTlRbG793juFnS25ZGv9ZBW1yRG93dlifUb0eGLxyJRQVJvwlPnck2l/Wonxk35MRHkMgykiIn1cff1UBL6IXMiO739klyO1ZUWuVwZeb8kl2/EQRUuiJd6xcnrX0GjdCQF56qdWvPoyflL58hgmooiIiIiINFB78ytqJq5EN6Uib1plH1PHa0QnJGQ5tom2S20iNl7rKtHbKmoQ91BOSzjFYqSrJnkTE1Ee5OqsNBGRCdx+3WTTcqLEQq8Dam8ejdxk2j0Atpe58WY6kCQw49jqHSdKbYJJbdIqdHlmzIIXubzI9ZlJ9nMysP1emCkvFOMn/ZiI8ii3XxSIiETxxPWyShH3InIxPdcDryd1nMiNx8xIYiZW0ijwXqLBtEXXJ94yrWTl+pxwTnotCQWA8ZMBjktElZeXo0OHDvD5fNi0aVPY34qLi9GvXz/UqVMHGRkZGD16NCoqKsLKbNmyBd26dUOtWrXQpEkTTJs2DUrEdImrVq1Cbm4u0tLScPbZZ+OZZ56pVo/Fixejbdu2SE1NRdu2bbF06VLh22o2T1wciIgM4HWS3ILxkzjxrguyt1rwOj1dq/QeUzedC7GSRpHv2ZUscUKSxk52nIuMnygRxyWi7rrrLmRnZ1d7v7KyEn369MGJEyewZs0aLFiwAIsXL8aECROCZcrKytCjRw9kZ2dj3bp1mD17NmbNmoVHH300WGbXrl246qqrcOmll2Ljxo245557MHr0aCxevDhYpqioCIMGDcKQIUOwefNmDBkyBAMHDsRnn31m7sYTERGZQcQgm4EXSYnxkzVkuyF2UzJEK62zjukZKDveOkWdCxx3Rx+v7TM942jpXR6FYPykm0+JfJwlsXfeeQfjx4/H4sWLcf7552Pjxo3o0KFD8G99+/bFnj17goHWggULkJ+fj0OHDiE9PR1z5szB5MmTcfDgQaSmpgIAHnroIcyePRt79+6Fz+fDpEmTsGzZMuzYsSO43oKCAmzevBlFRUUAgEGDBqGsrAzvvPNOsEyvXr1Qv359zJ8/X9W2lJWVwe/3o7S0FOnp6SJ2j249kgbYun4iIhnJ8DTP7N+KwPK7XvkAUmqkGV7eqZO/YO1790vx20a/YvxkDjXxk1lj8pjNqfVOJHK7RG6nkWW5dX+rEbrtTt4Pkd0UzVyP7PuI8ZN2XoyfHNMi6uDBgxgxYgRefvll1K5du9rfi4qKkJOTE/a0r2fPnigvL8eGDRuCZbp16xYMogJl9u/fj927dwfL5OXlhS27Z8+eWL9+PU6ePBm3zNq1a2PWv7y8HGVlZWEvWchwsSAikonXros+CBps0+4NoWoYP5lHzXXCyTPQWVlvNevSOyB2KDO7kokemF7LzIxOpmVQ8gAZt9mMMa9irUdmjJ8YP6nliESUoijIz89HQUEBOnXqFLVMSUkJMjMzw96rX78+atasiZKSkphlAv9OVObUqVM4fPhw3DKBZUQzY8YM+P3+4Ktp06aJNpuIiMgaiiLuRdJg/GSPeIM620Xr+vUMPm2EmptrPTfg8T4jU6JHazdCPeX01EFWViVjzNgnTtrPpALjJ91sTURNnToVPp8v7mv9+vWYPXs2ysrKMHny5LjL8/mq5xIVRQl7P7JMoGeiiDLR1h8wefJklJaWBl979uyJuy1W81r2mogoFl4PSXaMn+QR7XohywDORutgVQsPu0RLthlJCImqi12JCtHbqXVbZEz6mLFPzDifzEqqJiof+XfGT6SFrYmoO+64Azt27Ij7ysnJwQcffIBPP/0UqampSElJwW9+8xsAQKdOnXDLLbcAALKysqo9UTt69ChOnjwZfPoWrcyhQ4cAIGGZlJQUNGzYMG6ZyKd8oVJTU5Genh72kg0vHkTkdV69DgppVv6/l1ZPP/00WrZsibS0NOTm5uLjjz+OWXbJkiXo0aMHzjzzTKSnp6NLly5YsWKFgS13JsZPcgm9bsS6cXNyFz0zyLQv9HQNM4ubkn8ybIvd6w9lZhLK6tZz0ZbH+Inxk1a2JqIyMjJw3nnnxX2lpaXhiSeewObNm7Fp0yZs2rQJy5cvBwAsXLgQDz74IACgS5cu2Lp1Kw4cOBBc/sqVK5Gamorc3NxgmdWrV4dNSbxy5UpkZ2ejRYsWwTKFhYVh9Vy5ciU6deqEGjVqxC3TtWtXsTvIBl69iBARefr6pwh8abBw4UKMHTsWU6ZMwcaNG3HppZeid+/eKC4ujlp+9erV6NGjB5YvX44NGzbg8ssvR79+/bBx40bNm+xkjJ/kE7h+6JmVzSpaWqiYnSiye19YzUsz3+ndThnOiVh1F3H8zNo+0TPiRc78qGa7GT8JemnghvjJUbPmBezevRstW7YMm/WlsrISHTp0QGZmJmbOnIkjR44gPz8f/fv3x+zZswEApaWlaN26Na644grcc889+Pbbb5Gfn4/77rsvOE3xrl27kJOTg9tuuw0jRoxAUVERCgoKMH/+fFx//fUAgLVr1+Kyyy7Dgw8+iGuuuQZvvPEG7r33XqxZswadO3dWtQ0yzfoSibPoEZEXyRhIWTXry+8un4qUFAGzvpz6BWs+nKq6vp07d8aFF16IOXPmBN9r06YN+vfvjxkzZqha5/nnn49Bgwbhvvvu011vr2D8ZK7Q+ElP64fAZ5wwKxaR2WT6HnhtRkStdWb8xPhJD0cMVq5GcnIy3n77baSlpeGSSy7BwIED0b9/f8yaNStYxu/3o7CwEHv37kWnTp0wcuRIjB8/HuPHjw+WadmyJZYvX46PPvoIHTp0wF/+8hc88cQTwSAKALp27YoFCxZg7ty5uOCCCzBv3jwsXLhQdRAlOxkvJkREZvL6dc+nKMJeAKrNclZeXl5tnRUVFdiwYUO1WdTy8vLizqIWqqqqCseOHUODBg2M7wSPYvwkTuh1RPTA2onoGftFhhY6MtSBTpPlWATqEUjKylAv2RJJVrRYVLsOxk+Mn/RKsW3NBrRo0QLRGnI1a9YMb731VtzPtmvXDqtXr45bplu3bvjiiy/ilrnhhhtwww03JK6sQxVWLWLLKCLyBK8HUQCAqv+9RCwHqDaz2f3334+pU6eGvXf48GFUVlZqnkUt1COPPIITJ05g4MCBuqvsJYyfzBcaP8VqVZDofTWtorQuO5IsY1bJdoNvJtlbxshSt9CB262ok9nrMWPZIpcZa/vVrIPxExg/GeCaFlEkHi8uROR2vM6ZY8+ePWEzncWbtU3rLGoB8+fPx9SpU7Fw4UI0atTIcJ2JRFEzXlQ0WgbNjjUzn5Z1ikpGyZDQiifeuD9WsivRI/vxicWq/aVlPU7cl2bVmfGTObwUPzERRURE5HGim5ZHznKWmppabZ0ZGRlITk7WPIsacHqQzmHDhuFf//oXrrzySnE7gsgCRm+wRd5YRktGaU3cyNK6KpZY+zv0/Wj1N9otTOZuZTLUK5Is+yueyH0ZWl8z6q9nmZHltSa1SRvGT/oxEUVxMdtNRG7F61sIG2Z9qVmzJnJzc6vNolZYWBh3FrX58+cjPz8fr732Gvr06aN+hUQWMvP6IjrxEzkWj5rEjZa/aWFXMiJW1yQj22X083qp2X+RSbjQl9nrjlcnpyVFIlsxiq6/nmWqLa925rxoGD+FYPykGxNRlBAvNkTkNryuyWH8+PF47rnn8MILL2DHjh0YN24ciouLUVBQAACYPHkyhg4dGiw/f/58DB06FI888gguvvhilJSUoKSkBKWlpXZtAlFMaq4ziW74rGqFZGYCQEs9nZiMkI2ermaB/W5039t57GRuTWW0VZMZYh2rRGNmMX6SgxviJyaiSBVedIjILXg9i0JRxL00GDRoEB5//HFMmzYNHTp0wOrVq7F8+XI0b94cAHDgwAEUFxcHy//jH//AqVOnMGrUKDRu3Dj4GjNmjNDdQSRKouuNmgHJrbrBNiuJwMSSvNyU+Asd5Fw28br0qSkfj8jtZRJKB8ZPuvmUaNOnkOnKysrg9/tRWlqK9PR0u6ujCmfRIyI3cFIgZfZvRWD53br+GSkpaYaXd+rUL1i19i+O+m0jZ3FD/BR5s6d3hjySi6jjlKiLpEhOO7ecVl+3YfxUffmMn/RjiyhSzUkXHyKiaHgdIyKrRV53Ys14F4ubb7ydMEB1qHj1FXWcRLVS0jpWlBNoGVxfJJnOUTXfmdAyourO+IlEYyKKNOFFiIicitevOGxqWk7kFdGuP6K71Jgh1mxyosjcNSzadlpdX6ODf6tNWkT+28rES6LEUqJZ4EQeD7OTjCIkOgcDrcYCZYzWvbBqEeOneBg/6cZEFGnGCxIROQ2vWfH5qsS9iCi6RC2jjLByfCcrx62ykwzJBxGDh2ttcWc02WY0kWVmoikgVh3VrEv2c1/k/mLslBjjJ/2YiCIiIldjIEVEbiHLTbAMSRorOK3roAy0JrLsOJeMJNv0fs7M84jnKDkRE1GkG2/uiEh2vE6pxKblRJYwek1yUmskp9QzHpm7Dhoh+tjEW57d54HeZKLoept5HpmxbMZPKjF+0o2JKDKEFykikhWvTxooAl9EFJfWIQ7ijZFj901+PE5M4Mi8PyOJ7P5mVKLliWxZpnU50ZKJegZyl6V1nBWDtTN+0oDxk25MRJFhvFgRkWx4XSIi2am9TsW7yXdiskcNETfXkYkDO2eRMyNZ4JRjH0gEiZxVUKtEA56rXa9d+zz0XDZ7DC3GT2QVJqJICF60iEgWvB5p51MUYS8iUo/Xq+hEjMOjZnYxq5iZwJChlQ6ZJ1YCygy8HmnH+Ek/JqKIiIi8jmMcEJELBG7Wo3WjsmI2NjuYPauc3YmuaOvX2k3Oqcd6xf7NmltiydKF0DMYP+nGRBQJwyw6EdmN1yEicho91y1RSQKtnxd5g2vmDbNbBxnXKrCP1e7r0NY3gf1nd3fFaGOi8fjGpnffMH4iqzERRULxIkZEduH1xwAFQJWAl/ce6BEJEe36JXJMo1jL0nrDGqu8noRSaOslK8jSwieU1gSRVqHjM6k51iK6RKqlpttk5P7xWvLJiiSg1skTKALjJ92YiCLheEEjIivxmmMcxzggsl/kdUzkIOVm38DrXb6Ili1aW9YYWZ/oJJZM41gZYdYsfLH2j1mt6Zyyv40K7FPGTsYxftKPiSgyDS9uRGQ2XmeIyE1EJta9dlNtxfaKSriobZ1ldvc4Kxg5LrFmPTSra56T93MoNfuc8RPZjYkoMhUvckRkFl5fBFIgaLBNuzeEyB1EXN/svKm2IwkWbSwhWVvOWJVgsmP7RXanC/2sW5JEVki0rxg/CcT4SbcUuytARERENhM1Y4sHm5YTuZHRKePtThokSvQEZiMzunwz6TkGkdtlVj0jW6GF/tuK5Jrd55fR7we5COMn3dgiikzHrDsRicbrChG5nZ3XOTtmJUvUckdkyx4nJBD0HAOrtyuyjlasP3IddrW+c8I5FA3jJ5IFE1FkCQ4mTESi8FpiAhEzvgReRCRM6PVOtjGftNRHTZIpsmtd5GfsvvGXbf/H4pR6imL3eeEUvBczCeMn3ZiIIkvxAkhEejGIMg9nfSGSl6zXPi0JgERlI/8uY4sT2eoTS6JZ+NyYqIo1qLlbad1GGa8fbsH4ST8moshyvBgSkVa8bhCR1yVlfRP1fRluvM1McMiwfW4RmuBz034V1T3QKftEyzYyfiJZMRFFtuBFkYjU4vXCAkJmfBE0YCcRxRTteihDSx2zWjDJMDB1LE5vXSTDfg3sQ1n2o1X7RM/2Rn5GzTIYP1mA8ZNuTESRbWRtak5E8uA1wiIMpIgcw+7ropWJg3iz3plJzfJl6T4oSxJHTz0C+1CG/WglrTMhRvtMvEHbeY9lIcZPujERRbbjhZKIIjGIIiKKzc5rZCBxYGcyKNGNvN66xbrpt5LaRF+gnOhZ5CLHW4r371BakyuyJNBkp3a/BsoxdiKnSLG7AkRERGQzUU/jPPhEj8hpRHV3MztZEzqWkdZ1Rc7AF/mems8lWrdZ3Qa1Jh70fj5StP2UqBWOnmXL3N1Sdtx3EmL8pBtbRJEUmL0nogBeD2zA6YeJHEnP9dJpN7JG62tkgO5461ZTLxGtfqxqPWRmF7nQZTvl/JNx8P1E+47xkw0YP+nGRBRJgxdPIuJ1gIhIG1431bM6CRKaANM7QLXTZrmzutudWesSea6E1tGMc5DDGZATsWseSSVwEe2RNMDmmhCRlRhA2cunKPAJaBYuYhlEpJ2T46dYXedk7oaktW56uxk6oRVR5PGzK9knMzPryPjJXoyf9GOLKJISL6pE3sHvuwQ46wuRKzjxehqrS5jMCQa9dbN6m6xoneTUWe+i7RenDaLuxO+76zB+0o2JKJIWL65E7sfvORGRWLyuWk9L8kJrWaNjCjkxSWSE2v0VK/kpYn8lqoOIZBe/5+R07JpHUnNyU3Miio0BlGSqFMAn4Glclfee6BHJSKb4SeYudqKYOci3UU7c/1pmOowUrYun3mXpFW92QKNJKMZPkmH8pBsTUeQIhVWLpAimiMg4BlES4vTDRK4kQ/wUuCkP/L9T6E3gJNpWN4yhZHZyK9oA7U7pDgnETzYZqQ/jJwkxftKNXfPIMXjxJXI+fo+JiKwlw3XXiV3EzOyipaZVjKzjFRlJ0GndnsB5Y+RYWNFNLpLWOieqA2fFIzdiIoochRdiImfid1d2ogba9N4TPSIncMI12I6kS2CdItcdmoQw0ipK1uSdkZZJVoy/FG29Rv4eue5Yg5yr/bzWOsj+vSXGT3oxEUWOxIsykXPw++oAnPWFyBNkvh7bkXRJlDCSiawtpKwm6ljp2ZdGZ3jUWneZv6/0P4yfdGMiihzLCU/3iLyO31EiIrnwuqyfnYkgPS2KZEtcyVQfmZOPvMchL2AiihyPF2oi+TCIcpgqRdyLiKSX6BotU8LADHq75MmcvIjGzPrqbVFk1bqcirGTwzB+0o2JKHIFXrSJ5MHvowMpVeJeROQYsa7XIsbNkZmTuuTJyqoBy/Wuy4kYPzkQ4yfdUuyuAJEogYu33dMUE3kVAygiIucxGj85PUmgdxY4kesHTu/H0P93I73Jq8Bn3bp/GD+RFzERRa5TWLWIySgiizGIcjhRA2V6cLBNIrfwavwUSGrYleQIXZ/RrmtuS9AAYvZPKNn2FeMnh2P8pJujuua9/fbb6Ny5M2rVqoWMjAxcd911YX8vLi5Gv379UKdOHWRkZGD06NGoqKgIK7NlyxZ069YNtWrVQpMmTTBt2jQoEQd+1apVyM3NRVpaGs4++2w888wz1eqyePFitG3bFqmpqWjbti2WLl0qfoNJN45PQ2QNftdcgmMcuBrjJ1LLSddz0d0BIxNSTqJnIHM30XLMIveVFV1Lo62D8ZNLMH7SzTEtohYvXowRI0Zg+vTpuOKKK6AoCrZs2RL8e2VlJfr06YMzzzwTa9aswX//+1/ccsstUBQFs2fPBgCUlZWhR48euPzyy7Fu3Tp88803yM/PR506dTBhwgQAwK5du3DVVVdhxIgReOWVV/DJJ59g5MiROPPMM3H99dcDAIqKijBo0CD85S9/wbXXXoulS5di4MCBWLNmDTp37mz9zqGYvPp0j8gKDKCI5Mf4ibRyylAHRhIvsbrj6e065sQkUGhixIn1D2Wk/lZse+Q6GD8RAT4l8nGWhE6dOoUWLVrggQcewLBhw6KWeeedd9C3b1/s2bMH2dnZAIAFCxYgPz8fhw4dQnp6OubMmYPJkyfj4MGDSE1NBQA89NBDmD17Nvbu3Qufz4dJkyZh2bJl2LFjR3DZBQUF2Lx5M4qKigAAgwYNQllZGd55551gmV69eqF+/fqYP3++qm0qKyuD3+9HaWkp0tPTde0X0k72oIpIdgyerGX2b0Vg+Vdm34aUpFTDyztVVY739v+Dv22SYPxEouiJn9QkaGRL4shWH3IPxk/WYvwkP0d0zfviiy+wb98+JCUloWPHjmjcuDF69+6Nbdu2BcsUFRUhJycnGEQBQM+ePVFeXo4NGzYEy3Tr1i0YRAXK7N+/H7t37w6WycvLC1t/z549sX79epw8eTJumbVr18bchvLycpSVlYW9yHr8ESDSj98fF1Pw6zgHhl52bwiFYvxEohRWLdLchUlNQke2pI9s9ZGd3m5tTuz+GErLdrMLnssxftLNEYmonTt3AgCmTp2Ke++9F2+99Rbq16+Pbt264ciRIwCAkpISZGZmhn2ufv36qFmzJkpKSmKWCfw7UZlTp07h8OHDccsElhHNjBkz4Pf7g6+mTZtq2gckDn8QiLThd4bImRg/kUhJWd8gKesbu6tBUVgxzlE0esemcnrCT+12M3Yiis3WRNTUqVPh8/nivtavX4+qqioAwJQpU3D99dcjNzcXc+fOhc/nw6JFv37BfT5ftXUoihL2fmSZQM9EEWWirT9g8uTJKC0tDb727NkTsyxZgz8ORInxe+IRQp7mCZo5hhJi/ER24u+CfLw+WLls+ADPQxg/6WbrYOV33HEHbrzxxrhlWrRogWPHjgEA2rZtG3w/NTUVZ599NoqLiwEAWVlZ+Oyzz8I+e/ToUZw8eTL49C0rK6vaU7dDhw4BQMIyKSkpaNiwYdwykU/5QqWmpoY1aSc5OGVATiKrMYDymKoqAFWClkNmY/xEdmP8RDILtA7TkpwTNT4Y4yePYfykm60tojIyMnDeeefFfaWlpSE3Nxepqan4+uuvg589efIkdu/ejebNmwMAunTpgq1bt+LAgQPBMitXrkRqaipyc3ODZVavXh02JfHKlSuRnZ2NFi1aBMsUFhaG1XPlypXo1KkTatSoEbdM165dxe0cshR/NIh+xe8DkdwYP5Es+HuhnxVd6QJd9kJfdrJq/fFaiAXqELk/mIQispatLaLUSk9PR0FBAe6//340bdoUzZs3x8yZMwEAAwacfhKTl5eHtm3bYsiQIZg5cyaOHDmCiRMnYsSIEcGR5wcPHowHHngA+fn5uOeee/Dtt99i+vTpuO+++4LNwgsKCvDkk09i/PjxGDFiBIqKivD888+HzeYyZswYXHbZZfjb3/6Ga665Bm+88Qbee+89rFmzxuI9QyKF/njwCR95DYMnjxPVLNyDTctlxviJrMD4SR8rutLJ1l1PhvoE6sDEEwnB+Ek3RySiAGDmzJlISUnBkCFD8PPPP6Nz58744IMPUL9+fQBAcnIy3n77bYwcORKXXHIJatWqhcGDB2PWrFnBZfj9fhQWFmLUqFHo1KkT6tevj/Hjx2P8+PHBMi1btsTy5csxbtw4PPXUU8jOzsYTTzyB66+/Plima9euWLBgAe699178+c9/RqtWrbBw4UJ07tzZuh1CpmKTc/IKBlEEgIGUizF+IitFxk+iujuRdzjlnGH8RAAYPxngUxQPbrUEysrK4Pf7UVpaGnziSHJiMorcikGU/Mz+rQgs/8qM/0NKUk3DyztVVYH3Dr/A3zYyDeMn5/Ba/KRnXCIyzurEFWMnZ2D8JD/HtIgiskvkD47XAityFwZQFFWVAkDAc6kqPtsiotPM6rIna4sZtXUKrb+s2yKzyH1mxf5j7EQxMX7SjYkoIo0KqxYxGUWOwyCK4lGUKiiK8RlbRCyDiNxH5JAH8Qah7pndXvqWSXqTKGqTVtEGBDd7X1iZULP6uDJ+ongYP+nHRBSRDhxDipyCARQREclC5MO8WC1jtCYqnNIqSW0d7dgWJ+w/NUKTmIyfiMzFRBSRAZwphmTE4Ik0UxQxzcI57CQRJSBqyANRyQ+3JFHIuKSsbwAAhd5rnEJ6MX7SLcnuChC5BW/+SQY8D0mXwKwvIl5ERBpY/bsVretarHJqy5J2WvavFceB8RPpwvhJN7aIIhKILaTIDgyeiIjIyYzGT1rGhQotE/q5yGW4saWUyG6I8fa5mvUk+nvoMsw4FoydiOzFRBSRSTiOFJmNQRQJU1UF+AT0RfDgYJtEJJae+ElvoiLaGFNOGTNKD5HbFW9ZetZjZSKQ8RMJw/hJNyaiiEzGVlIkEoMnMoUiaPphDzYtJyJz2BU/uTUJJaPQ5JOI5FU8jJ/IFIyfdGMiishCbCVFejGAIiIir2L8JJ6WJI6odUWuz+i6mYAici4moohswFZSpAaDJ7KKUlUFRUDTcsWDTcuJyDqMn7SL1tXQ6kHY1SacRCXHGD+RVRg/6cdEFJHNGFRRKAZPZAs2LScih/FS/GQkQRNt7KtYy4lMUFndTTHe+hKN3cX4iWzB+Ek3JqKIJBL5I+r2wIpOY/BERESkn9uTUiISQlpnFIwlXkLIzIHeI5fL2InI2ZiIIpKY2wMrr2LwRNKpUgAfn+gRkfNpfajn5lnyzCB6tjwtGD+RdBg/6cZEFJFDMCnlbAyeSGqKAkDE9MPeC6SISG6J4qdo4ycxMWUNNV0OGT+R1Bg/6cZEFJEDMSnlDAyeiIiI5KEmfmISyjrR9jVjJyJvYCKKyOGi/WAzOWU9Bk7kZEqVAkVA03LFg0/0iMiZzI6forX2YWurcIydyOkYP+nHRBSRC3HQc/MxeCJXUaogpmm596YfJiL3EBk/RUs4mZWEMjKrnpnLiobxE7kK4yfdmIgi8oB4P/pMUsXHgInIXE8//TRmzpyJAwcO4Pzzz8fjjz+OSy+9NGb5VatWYfz48di2bRuys7Nx1113oaCgwMIaE5FXxIoB9MZOZiV5RC5PxLIYOxGZz+nxExNRRB7Hrn2nMWgiL7OrafnChQsxduxYPP3007jkkkvwj3/8A71798b27dvRrFmzauV37dqFq666CiNGjMArr7yCTz75BCNHjsSZZ56J66+/3nD9iYjUEJ2gcjLGT+RljJ/08yle7JAogbKyMvj9fpSWliI9Pd3u6hBp4sRAi4ESOZHZvxWB5XfHNUjx1TC8vFPKSXyEN1TXt3PnzrjwwgsxZ86c4Htt2rRB//79MWPGjGrlJ02ahGXLlmHHjh3B9woKCrB582YUFRUZrj/Jj/ETOVlVybkAqo8bFfmeTBg/kRMxfgonY/zEFlE2CeT/ysrKbK4JkXaLf3xeU/lr/EOF1+GN0pc0led3jZwocN6a/czoFE4CAlZxCicBVP++paamIjU1Ney9iooKbNiwAXfffXfY+3l5eVi7dm3U5RcVFSEvLy/svZ49e+L555/HyZMnUaOG8WCQ5Mb4iRyt9noAwOIff33r+P/+G/peAOMnIn0YP4WTMX5iIsomx44dAwA0bdrU5poQOZPf77e7CkSWOXbsmCnnfM2aNZGVlYU1JcuFLbNu3brVftvuv/9+TJ06Ney9w4cPo7KyEpmZmWHvZ2ZmoqSkJOqyS0pKopY/deoUDh8+jMaNGxvfAJIa4yciYxg/kZcwfjpNxviJiSibZGdnY8+ePahXrx58Pp8l6ywrK0PTpk2xZ88eVzZn5/Y5n9u3kdvnbHZsn6IoOHbsGLKzs01ZflpaGnbt2oWKigphy1QUpdrvWuTTvFCRZaN9PlH5aO+TOzF+Eo/b52xu3z7A/dvI7ROP8ZO68tHetwoTUTZJSkrCWWedZcu609PTXXmRC+D2OZ/bt5Hb52xWb5/ZT6/T0tKQlpZm6jqiycjIQHJycrWnd4cOHar21C4gKysravmUlBQ0bNjQtLqSPBg/mYfb52xu3z7A/dvI7ROL8dOvZIyfkmxZKxEREXlazZo1kZubi8LCwrD3CwsL0bVr16if6dKlS7XyK1euRKdOnTg+FBEREbmeW+InJqKIiIjIFuPHj8dzzz2HF154ATt27MC4ceNQXFyMgoICAMDkyZMxdOivg/UWFBTg+++/x/jx47Fjxw688MILeP755zFx4kS7NoGIiIjIUm6In9g1z0NSU1Nx//33x+1r6mTcPudz+zZy+5zN7dtnh0GDBuG///0vpk2bhgMHDiAnJwfLly9H8+bNAQAHDhxAcXFxsHzLli2xfPlyjBs3Dk899RSys7PxxBNP4Prrr7drE8gD3P7d5/Y5m9u3D3D/NnL7SCs3xE8+xew5DYmIiIiIiIiIiMCueUREREREREREZBEmooiIiIiIiIiIyBJMRBERERERERERkSWYiCIiIiIiIiIiIkswEeVAb7/9Njp37oxatWohIyMD1113Xdjfi4uL0a9fP9SpUwcZGRkYPXo0Kioqwsps2bIF3bp1Q61atdCkSRNMmzYNkePWr1q1Crm5uUhLS8PZZ5+NZ555plpdFi9ejLZt2yI1NRVt27bF0qVLhW1neXk5OnToAJ/Ph02bNrliG3fv3o1hw4ahZcuWqFWrFlq1aoX777+/Wt2dun1GPP3002jZsiXS0tKQm5uLjz/+2JZ6hJoxYwYuuugi1KtXD40aNUL//v3x9ddfh5VRFAVTp05FdnY2atWqhe7du2Pbtm1hZcrLy3HnnXciIyMDderUwdVXX429e/eGlTl69CiGDBkCv98Pv9+PIUOG4Mcffwwro+a8MLKtPp8PY8eOddW27du3D3/4wx/QsGFD1K5dGx06dMCGDRtctY1EpI4X4ic3xk4A46d4ZIufvBQ7BbaX8ZMzt5FsppCjvP7660r9+vWVOXPmKF9//bXy1VdfKYsWLQr+/dSpU0pOTo5y+eWXK1988YVSWFioZGdnK3fccUewTGlpqZKZmanceOONypYtW5TFixcr9erVU2bNmhUss3PnTqV27drKmDFjlO3btyvPPvusUqNGDeX1118Pllm7dq2SnJysTJ8+XdmxY4cyffp0JSUlRfn000+FbOvo0aOV3r17KwCUjRs3umIb33nnHSU/P19ZsWKF8t133ylvvPGG0qhRI2XChAmu2D69FixYoNSoUUN59tlnle3btytjxoxR6tSpo3z//feW1iNSz549lblz5ypbt25VNm3apPTp00dp1qyZcvz48WCZhx56SKlXr56yePFiZcuWLcqgQYOUxo0bK2VlZcEyBQUFSpMmTZTCwkLliy++UC6//HKlffv2yqlTp4JlevXqpeTk5Chr165V1q5dq+Tk5Ch9+/YN/l3NeaHX559/rrRo0UK54IILlDFjxrhm244cOaI0b95cyc/PVz777DNl165dynvvvaf85z//cc02EpE6Xomf3Bg7KQrjp1hkjJ+8EjspCuMnJ28j2Y+JKAc5efKk0qRJE+W5556LWWb58uVKUlKSsm/fvuB78+fPV1JTU5XS0lJFURTl6aefVvx+v/LLL78Ey8yYMUPJzs5WqqqqFEVRlLvuuks577zzwpZ92223KRdffHHw3wMHDlR69eoVVqZnz57KjTfeqH8jQ7bjvPPOU7Zt21YtmHLLNgY8/PDDSsuWLV27fWr89re/VQoKCsLeO++885S7777b0nokcujQIQWAsmrVKkVRFKWqqkrJyspSHnrooWCZX375RfH7/cozzzyjKIqi/Pjjj0qNGjWUBQsWBMvs27dPSUpKUt59911FURRl+/btCoCwALaoqEgBoHz11VeKoqg7L/Q4duyYcs455yiFhYVKt27dgoGUG7Zt0qRJyu9+97uYf3fDNhJRYl6Jn7wUOykK4ydFcUb85MbYSVEYPzl9G8l+7JrnIF988QX27duHpKQkdOzYEY0bN0bv3r3DmkEWFRUhJycH2dnZwfd69uyJ8vLyYHPKoqIidOvWDampqWFl9u/fj927dwfL5OXlha2/Z8+eWL9+PU6ePBm3zNq1aw1t58GDBzFixAi8/PLLqF27drW/u2EbQ5WWlqJBgwau3b5EKioqsGHDhmr1yMvLs7QeapSWlgJA8Hjt2rULJSUlYXVPTU1Ft27dgnXfsGEDTp48GVYmOzsbOTk5wTJFRUXw+/3o3LlzsMzFF18Mv98fVibReaHHqFGj0KdPH1x55ZVh77th25YtW4ZOnTphwIABaNSoETp27Ihnn33WVdtIRIl5IX7yWuwEMH5ySvzkxtgJYPzk9G0k+zER5SA7d+4EAEydOhX33nsv3nrrLdSvXx/dunXDkSNHAAAlJSXIzMwM+1z9+vVRs2ZNlJSUxCwT+HeiMqdOncLhw4fjlgksQw9FUZCfn4+CggJ06tQpahmnb2Oo7777DrNnz0ZBQUHwPTdtnxqHDx9GZWWl7fVIRFEUjB8/Hr/73e+Qk5MD4Nd9Ha/uJSUlqFmzJurXrx+3TKNGjaqts1GjRnGPZ+R5odWCBQvwxRdfYMaMGdX+5vRtA05fM+fMmYNzzjkHK1asQEFBAUaPHo2XXnrJNdtIRIm5PX7yWuwEMH4CnBE/uTF2Ahg/uWEbyX5MRElg6tSp8Pl8cV/r169HVVUVAGDKlCm4/vrrkZubi7lz58Ln82HRokX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      "text/plain": [
       "<Figure size 1400x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# georefenced dataset for plot\n",
    "ds_fuzz_georef=ds_fuzz.pipe(wrl.georef.georeference_dataset)\n",
    "\n",
    "# plot\n",
    "fig = plt.figure(figsize=(14, 5))\n",
    "\n",
    "# first subplot\n",
    "ax1 = fig.add_subplot(121)\n",
    "cmap_static_georef.DBZH_sum_bool.plot(x=\"x\", y=\"y\", ax=ax1)\n",
    "t = plt.title(r'Static clutter map')\n",
    "t.set_y(1.1)\n",
    "\n",
    "# second subplot\n",
    "ax2 = fig.add_subplot(122)\n",
    "ds_fuzz_georef.FUZZ.plot(x=\"x\", y=\"y\", ax=ax2)\n",
    "t = plt.title(r'FUZZY clutter map')\n",
    "t.set_y(1.1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "32eb6286",
   "metadata": {},
   "source": [
    "# Remove clutter"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4db5e055",
   "metadata": {},
   "source": [
    "Now we want to remove the clutter in the raw reflectivity. Therefore, we use the function ```dbzh_no_clutter```. This function set as clutter identified pixels (in the above plot the yellow points) to NaN values. So we exclude clutter pixels from further processing steps. If we use the function, then the dataset includes a new variable called \"DBZH_no_clutter\"."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "f53f6331",
   "metadata": {},
   "outputs": [
    {
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       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  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:          (azimuth: 720, range: 936)\n",
       "Coordinates: (12/15)\n",
       "  * azimuth          (azimuth) float64 0.25 0.75 1.25 1.75 ... 358.8 359.2 359.8\n",
       "    elevation        (azimuth) float64 0.5 0.5 0.5 0.5 0.5 ... 0.5 0.5 0.5 0.5\n",
       "    rtime            (azimuth) datetime64[ns] 2022-02-16T13:45:28.941817600 ....\n",
       "  * range            (range) float32 37.5 112.5 187.5 ... 7.009e+04 7.016e+04\n",
       "    time             datetime64[ns] 2022-02-16T13:45:01\n",
       "    sweep_mode       &lt;U20 &#x27;azimuth_surveillance&#x27;\n",
       "    ...               ...\n",
       "    x                (azimuth, range) float64 0.1636 0.4909 ... -305.8 -306.1\n",
       "    y                (azimuth, range) float64 37.5 112.5 ... 7.008e+04 7.015e+04\n",
       "    z                (azimuth, range) float64 38.3 38.95 39.61 ... 939.2 940.3\n",
       "    gr               (azimuth, range) float64 37.5 112.5 ... 7.008e+04 7.015e+04\n",
       "    rays             (azimuth, range) float64 0.25 0.25 0.25 ... 359.8 359.8\n",
       "    bins             (azimuth, range) float32 37.5 112.5 ... 7.009e+04 7.016e+04\n",
       "Data variables:\n",
       "    RATE             (azimuth, range) float32 ...\n",
       "    DBZH             (azimuth, range) float32 nan nan nan ... -32.0 -32.0 -32.0\n",
       "    VRAD             (azimuth, range) float32 nan nan nan 0.0 ... nan nan nan\n",
       "    ZDR              (azimuth, range) float32 nan nan nan ... 0.4894 -0.2914\n",
       "    KDP              (azimuth, range) float32 ...\n",
       "    PHIDP            (azimuth, range) float32 nan nan nan ... 18.28 40.78 9.844\n",
       "    RHOHV            (azimuth, range) float32 nan nan nan ... 0.2291 0.4382\n",
       "    WRAD             (azimuth, range) float32 ...\n",
       "    QC_INFO          (azimuth, range) float32 ...\n",
       "    FUZZ             (azimuth, range) bool False False False ... False False\n",
       "    DBZH_no_clutter  (azimuth, range) float32 nan nan nan ... -32.0 -32.0 -32.0\n",
       "Attributes:\n",
       "    fixed_angle:  0.5</pre><div class='xr-wrap' hidden><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-bc81ac47-4bf0-4a69-b2dd-1b0aa678a91c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bc81ac47-4bf0-4a69-b2dd-1b0aa678a91c' 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'>azimuth</span>: 720</li><li><span class='xr-has-index'>range</span>: 936</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-9d06d3a9-99f5-43c8-9305-4b822731ce88' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9d06d3a9-99f5-43c8-9305-4b822731ce88' class='xr-section-summary' >Coordinates: <span>(15)</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'>azimuth</span></div><div class='xr-var-dims'>(azimuth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.25 0.75 1.25 ... 359.2 359.8</div><input id='attrs-7bb50a85-3da8-4848-aed2-757516d965a1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7bb50a85-3da8-4848-aed2-757516d965a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ea3ea97-3c11-44e3-bbc7-261984e7f01e' class='xr-var-data-in' type='checkbox'><label for='data-2ea3ea97-3c11-44e3-bbc7-261984e7f01e' 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>standard_name :</span></dt><dd>ray_azimuth_angle</dd><dt><span>long_name :</span></dt><dd>azimuth_angle_from_true_north</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>axis :</span></dt><dd>radial_azimuth_coordinate</dd><dt><span>a1gate :</span></dt><dd>1</dd><dt><span>angle_res :</span></dt><dd>0.5</dd></dl></div><div class='xr-var-data'><pre>array([2.5000e-01, 7.5000e-01, 1.2500e+00, ..., 3.5875e+02, 3.5925e+02,\n",
       "       3.5975e+02])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>elevation</span></div><div class='xr-var-dims'>(azimuth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5 0.5 0.5 0.5 ... 0.5 0.5 0.5 0.5</div><input id='attrs-5a23cdac-dfb0-431a-aaba-db0380b2fb69' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a23cdac-dfb0-431a-aaba-db0380b2fb69' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf16b1a9-4c1b-4fc0-89d1-560418bd59cf' class='xr-var-data-in' type='checkbox'><label for='data-cf16b1a9-4c1b-4fc0-89d1-560418bd59cf' 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>standard_name :</span></dt><dd>ray_elevation_angle</dd><dt><span>long_name :</span></dt><dd>elevation_angle_from_horizontal_plane</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>axis :</span></dt><dd>radial_elevation_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([0.5, 0.5, 0.5, ..., 0.5, 0.5, 0.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rtime</span></div><div class='xr-var-dims'>(azimuth)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-02-16T13:45:28.941817600 .....</div><input id='attrs-f2030ab4-b417-421e-91b9-ebfa5e3c4263' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f2030ab4-b417-421e-91b9-ebfa5e3c4263' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-04272a6f-de68-4c5b-a9c6-65e89341357b' class='xr-var-data-in' type='checkbox'><label for='data-04272a6f-de68-4c5b-a9c6-65e89341357b' 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>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-02-16T13:45:28.941817600&#x27;, &#x27;2022-02-16T13:45:28.980652544&#x27;,\n",
       "       &#x27;2022-02-16T13:45:01.019417600&#x27;, ..., &#x27;2022-02-16T13:45:28.825312256&#x27;,\n",
       "       &#x27;2022-02-16T13:45:28.864147456&#x27;, &#x27;2022-02-16T13:45:28.902982400&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range</span></div><div class='xr-var-dims'>(range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>37.5 112.5 ... 7.009e+04 7.016e+04</div><input id='attrs-d248bf7b-88a1-4dc5-8a3b-7c09a1d072f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d248bf7b-88a1-4dc5-8a3b-7c09a1d072f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2dc03194-5d52-4141-9273-975901846eab' class='xr-var-data-in' type='checkbox'><label for='data-2dc03194-5d52-4141-9273-975901846eab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meters</dd><dt><span>standard_name :</span></dt><dd>projection_range_coordinate</dd><dt><span>long_name :</span></dt><dd>range_to_measurement_volume</dd><dt><span>spacing_is_constant :</span></dt><dd>true</dd><dt><span>axis :</span></dt><dd>radial_range_coordinate</dd><dt><span>meters_to_center_of_first_gate :</span></dt><dd>37.5</dd><dt><span>meters_between_gates :</span></dt><dd>75.0</dd></dl></div><div class='xr-var-data'><pre>array([3.75000e+01, 1.12500e+02, 1.87500e+02, ..., 7.00125e+04, 7.00875e+04,\n",
       "       7.01625e+04], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-02-16T13:45:01</div><input id='attrs-db696c4e-373e-4410-b1bb-580566a44bd6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-db696c4e-373e-4410-b1bb-580566a44bd6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6d491742-07fb-4b6f-a1c1-956964ea4588' class='xr-var-data-in' type='checkbox'><label for='data-6d491742-07fb-4b6f-a1c1-956964ea4588' 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>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2022-02-16T13:45:01.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sweep_mode</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U20</div><div class='xr-var-preview xr-preview'>&#x27;azimuth_surveillance&#x27;</div><input id='attrs-be9006df-1594-4e59-9628-d0efc29aadda' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-be9006df-1594-4e59-9628-d0efc29aadda' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c1be00ae-64ae-4804-8aff-0cd0db8d54be' class='xr-var-data-in' type='checkbox'><label for='data-c1be00ae-64ae-4804-8aff-0cd0db8d54be' 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;azimuth_surveillance&#x27;, dtype=&#x27;&lt;U20&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>13.24</div><input id='attrs-6a514d22-3c66-47fb-ad47-f14d176100ce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6a514d22-3c66-47fb-ad47-f14d176100ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-68e2ebf8-57e0-4a1b-8096-dda19e95fb43' class='xr-var-data-in' type='checkbox'><label for='data-68e2ebf8-57e0-4a1b-8096-dda19e95fb43' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array(13.24397)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>53.55</div><input id='attrs-0fe29481-d3fc-4c66-acd0-f6569a61c895' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0fe29481-d3fc-4c66-acd0-f6569a61c895' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-523fe937-024a-4a85-af54-7e3bbafc5cb4' class='xr-var-data-in' type='checkbox'><label for='data-523fe937-024a-4a85-af54-7e3bbafc5cb4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array(53.55478)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>altitude</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>38.0</div><input id='attrs-2b120dc1-0253-40b3-9b8f-2c06477ffc91' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2b120dc1-0253-40b3-9b8f-2c06477ffc91' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1013d0f2-299f-4beb-a3c7-95c83b7f2fbb' class='xr-var-data-in' type='checkbox'><label for='data-1013d0f2-299f-4beb-a3c7-95c83b7f2fbb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>altitude</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>standard_name :</span></dt><dd>altitude</dd></dl></div><div class='xr-var-data'><pre>array(38.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1636 0.4909 ... -305.8 -306.1</div><input id='attrs-938f235a-801f-4cc2-8cd1-769aa3e72bd5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-938f235a-801f-4cc2-8cd1-769aa3e72bd5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c4822fa1-7fce-4563-8721-e0424aa91e19' class='xr-var-data-in' type='checkbox'><label for='data-c4822fa1-7fce-4563-8721-e0424aa91e19' 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([[ 1.63617129e-01,  4.90851351e-01,  8.18085521e-01, ...,\n",
       "         3.05444277e+02,  3.05771429e+02,  3.06098598e+02],\n",
       "       [ 4.90838928e-01,  1.47251667e+00,  2.45419426e+00, ...,\n",
       "         9.16309571e+02,  9.17291001e+02,  9.18272484e+02],\n",
       "       [ 8.18023348e-01,  2.45406985e+00,  4.09011611e+00, ...,\n",
       "         1.52710508e+03,  1.52874072e+03,  1.53037644e+03],\n",
       "       ...,\n",
       "       [-8.18023348e-01, -2.45406985e+00, -4.09011611e+00, ...,\n",
       "        -1.52710508e+03, -1.52874072e+03, -1.53037644e+03],\n",
       "       [-4.90838928e-01, -1.47251667e+00, -2.45419426e+00, ...,\n",
       "        -9.16309571e+02, -9.17291001e+02, -9.18272484e+02],\n",
       "       [-1.63617129e-01, -4.90851351e-01, -8.18085521e-01, ...,\n",
       "        -3.05444277e+02, -3.05771429e+02, -3.06098598e+02]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>y</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>37.5 112.5 ... 7.008e+04 7.015e+04</div><input id='attrs-7c98bf07-a3be-41d3-a85d-1fb02a606f9d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7c98bf07-a3be-41d3-a85d-1fb02a606f9d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a89e31c3-9085-4785-a774-81e8e1bac27a' class='xr-var-data-in' type='checkbox'><label for='data-a89e31c3-9085-4785-a774-81e8e1bac27a' 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([[3.74980459e+01, 1.12494129e+02, 1.87490201e+02, ...,\n",
       "        7.00022276e+04, 7.00772048e+04, 7.01521860e+04],\n",
       "       [3.74951903e+01, 1.12485562e+02, 1.87475923e+02, ...,\n",
       "        6.99968967e+04, 7.00718681e+04, 7.01468436e+04],\n",
       "       [3.74894793e+01, 1.12468429e+02, 1.87447367e+02, ...,\n",
       "        6.99862352e+04, 7.00611952e+04, 7.01361593e+04],\n",
       "       ...,\n",
       "       [3.74894793e+01, 1.12468429e+02, 1.87447367e+02, ...,\n",
       "        6.99862352e+04, 7.00611952e+04, 7.01361593e+04],\n",
       "       [3.74951903e+01, 1.12485562e+02, 1.87475923e+02, ...,\n",
       "        6.99968967e+04, 7.00718681e+04, 7.01468436e+04],\n",
       "       [3.74980459e+01, 1.12494129e+02, 1.87490201e+02, ...,\n",
       "        7.00022276e+04, 7.00772048e+04, 7.01521860e+04]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>38.3 38.95 39.61 ... 939.2 940.3</div><input id='attrs-82fd6929-0e19-4777-9c70-dc33850b472a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-82fd6929-0e19-4777-9c70-dc33850b472a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a6070fd-ae02-487e-9b16-8cd84ce99822' class='xr-var-data-in' type='checkbox'><label for='data-3a6070fd-ae02-487e-9b16-8cd84ce99822' 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([[ 38.29707351,  38.95156364,  39.60605378, ..., 937.54351336,\n",
       "        939.18635562, 940.33497831],\n",
       "       [ 38.29707351,  38.95156364,  39.60605378, ..., 937.54351336,\n",
       "        939.18635562, 940.33497831],\n",
       "       [ 38.29707351,  38.95156364,  39.60605378, ..., 937.54351336,\n",
       "        939.18635562, 940.33497831],\n",
       "       ...,\n",
       "       [ 38.29707351,  38.95156364,  39.60605378, ..., 937.54351336,\n",
       "        939.18635562, 940.33497831],\n",
       "       [ 38.29707351,  38.95156364,  39.60605378, ..., 937.54351336,\n",
       "        939.18635562, 940.33497831],\n",
       "       [ 38.29707351,  38.95156364,  39.60605378, ..., 937.54351336,\n",
       "        939.18635562, 940.33497831]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gr</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>37.5 112.5 ... 7.008e+04 7.015e+04</div><input id='attrs-83758f5d-86d2-4b2e-a444-17381c3e67a4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-83758f5d-86d2-4b2e-a444-17381c3e67a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca492d44-543a-45d0-bd24-8db4e8042c77' class='xr-var-data-in' type='checkbox'><label for='data-ca492d44-543a-45d0-bd24-8db4e8042c77' 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([[3.74984029e+01, 1.12495200e+02, 1.87491986e+02, ...,\n",
       "        7.00028940e+04, 7.00778719e+04, 7.01528538e+04],\n",
       "       [3.74984029e+01, 1.12495200e+02, 1.87491986e+02, ...,\n",
       "        7.00028940e+04, 7.00778719e+04, 7.01528538e+04],\n",
       "       [3.74984029e+01, 1.12495200e+02, 1.87491986e+02, ...,\n",
       "        7.00028940e+04, 7.00778719e+04, 7.01528538e+04],\n",
       "       ...,\n",
       "       [3.74984029e+01, 1.12495200e+02, 1.87491986e+02, ...,\n",
       "        7.00028940e+04, 7.00778719e+04, 7.01528538e+04],\n",
       "       [3.74984029e+01, 1.12495200e+02, 1.87491986e+02, ...,\n",
       "        7.00028940e+04, 7.00778719e+04, 7.01528538e+04],\n",
       "       [3.74984029e+01, 1.12495200e+02, 1.87491986e+02, ...,\n",
       "        7.00028940e+04, 7.00778719e+04, 7.01528538e+04]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rays</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.25 0.25 0.25 ... 359.8 359.8</div><input id='attrs-93a0df87-f06a-445b-b3f4-cf71ab191223' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-93a0df87-f06a-445b-b3f4-cf71ab191223' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a6744331-9380-497a-ad9c-24abb7a55adb' class='xr-var-data-in' type='checkbox'><label for='data-a6744331-9380-497a-ad9c-24abb7a55adb' 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([[2.5000e-01, 2.5000e-01, 2.5000e-01, ..., 2.5000e-01, 2.5000e-01,\n",
       "        2.5000e-01],\n",
       "       [7.5000e-01, 7.5000e-01, 7.5000e-01, ..., 7.5000e-01, 7.5000e-01,\n",
       "        7.5000e-01],\n",
       "       [1.2500e+00, 1.2500e+00, 1.2500e+00, ..., 1.2500e+00, 1.2500e+00,\n",
       "        1.2500e+00],\n",
       "       ...,\n",
       "       [3.5875e+02, 3.5875e+02, 3.5875e+02, ..., 3.5875e+02, 3.5875e+02,\n",
       "        3.5875e+02],\n",
       "       [3.5925e+02, 3.5925e+02, 3.5925e+02, ..., 3.5925e+02, 3.5925e+02,\n",
       "        3.5925e+02],\n",
       "       [3.5975e+02, 3.5975e+02, 3.5975e+02, ..., 3.5975e+02, 3.5975e+02,\n",
       "        3.5975e+02]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bins</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>37.5 112.5 ... 7.009e+04 7.016e+04</div><input id='attrs-a3971dea-beb1-47ad-9e2b-ea1526a0c943' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a3971dea-beb1-47ad-9e2b-ea1526a0c943' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-59b5203e-2c69-4215-8703-1d814db0f383' class='xr-var-data-in' type='checkbox'><label for='data-59b5203e-2c69-4215-8703-1d814db0f383' 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([[3.75000e+01, 1.12500e+02, 1.87500e+02, ..., 7.00125e+04,\n",
       "        7.00875e+04, 7.01625e+04],\n",
       "       [3.75000e+01, 1.12500e+02, 1.87500e+02, ..., 7.00125e+04,\n",
       "        7.00875e+04, 7.01625e+04],\n",
       "       [3.75000e+01, 1.12500e+02, 1.87500e+02, ..., 7.00125e+04,\n",
       "        7.00875e+04, 7.01625e+04],\n",
       "       ...,\n",
       "       [3.75000e+01, 1.12500e+02, 1.87500e+02, ..., 7.00125e+04,\n",
       "        7.00875e+04, 7.01625e+04],\n",
       "       [3.75000e+01, 1.12500e+02, 1.87500e+02, ..., 7.00125e+04,\n",
       "        7.00875e+04, 7.01625e+04],\n",
       "       [3.75000e+01, 1.12500e+02, 1.87500e+02, ..., 7.00125e+04,\n",
       "        7.00875e+04, 7.01625e+04]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-12371ad6-88f1-4c6c-92d6-dee61e78600a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-12371ad6-88f1-4c6c-92d6-dee61e78600a' class='xr-section-summary' >Data variables: <span>(11)</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>RATE</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-849b2815-73c6-4cf8-a60c-676c6879261c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-849b2815-73c6-4cf8-a60c-676c6879261c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d4674862-2709-41c3-9897-2fcc63506c47' class='xr-var-data-in' type='checkbox'><label for='data-d4674862-2709-41c3-9897-2fcc63506c47' 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>_Undetect :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>rainfall_rate</dd><dt><span>units :</span></dt><dd>mm h-1</dd><dt><span>standard_name :</span></dt><dd>rainfall_rate</dd></dl></div><div class='xr-var-data'><pre>[673920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DBZH</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... -32.0 -32.0 -32.0</div><input id='attrs-bb1254d6-39f9-4758-88c2-9b31687ed9b0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bb1254d6-39f9-4758-88c2-9b31687ed9b0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9127a9d5-4314-4561-982a-f86dca96c856' class='xr-var-data-in' type='checkbox'><label for='data-9127a9d5-4314-4561-982a-f86dca96c856' 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>_Undetect :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Equivalent reflectivity factor H</dd><dt><span>units :</span></dt><dd>dBZ</dd><dt><span>standard_name :</span></dt><dd>radar_equivalent_reflectivity_factor_h</dd></dl></div><div class='xr-var-data'><pre>array([[  nan,   nan,   nan, ..., -32. ,  20. , -32. ],\n",
       "       [  nan,   nan,   nan, ...,  21. ,  21.5,  20.5],\n",
       "       [  nan,   nan,   nan, ...,  23. ,  22.5,  21.5],\n",
       "       ...,\n",
       "       [  nan,   nan,   nan, ..., -32. , -32. , -32. ],\n",
       "       [  nan,   nan,   nan, ..., -32. , -32. , -32. ],\n",
       "       [  nan,   nan,   nan, ..., -32. , -32. , -32. ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VRAD</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan 0.0 ... nan nan nan</div><input id='attrs-f3b7fa98-0793-4e54-83b5-4ff5aa2a5b36' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f3b7fa98-0793-4e54-83b5-4ff5aa2a5b36' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-766e227f-72a3-4f97-835b-974dd1403646' class='xr-var-data-in' type='checkbox'><label for='data-766e227f-72a3-4f97-835b-974dd1403646' 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>_Undetect :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Radial velocity of scatterers away from instrument</dd><dt><span>units :</span></dt><dd>meters per seconds</dd><dt><span>standard_name :</span></dt><dd>radial_velocity_of_scatterers_away_from_instrument</dd></dl></div><div class='xr-var-data'><pre>array([[ nan,  nan,  nan, ...,  nan,  nan, 15. ],\n",
       "       [ nan,  nan,  nan, ..., -0.5, -0.5, -0.5],\n",
       "       [ nan,  nan,  nan, ..., -0.5,  0. ,  0. ],\n",
       "       ...,\n",
       "       [ nan,  nan,  nan, ...,  nan,  nan,  nan],\n",
       "       [ nan,  nan,  nan, ...,  nan,  nan,  nan],\n",
       "       [ nan,  nan,  nan, ...,  nan,  nan,  nan]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ZDR</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 0.4894 -0.2914</div><input id='attrs-405958da-8a82-419f-bce7-d5b5bb76b99c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-405958da-8a82-419f-bce7-d5b5bb76b99c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bf94f713-736d-4b6a-beb6-b0f9767388e5' class='xr-var-data-in' type='checkbox'><label for='data-bf94f713-736d-4b6a-beb6-b0f9767388e5' 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>_Undetect :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Log differential reflectivity H/V</dd><dt><span>units :</span></dt><dd>dB</dd><dt><span>standard_name :</span></dt><dd>radar_differential_reflectivity_hv</dd></dl></div><div class='xr-var-data'><pre>array([[      nan,       nan,       nan, ...,  0.0665  ,  0.196628, -0.031096],\n",
       "       [      nan,       nan,       nan, ..., -0.291352, -0.226288, -0.454012],\n",
       "       [      nan,       nan,       nan, ..., -0.09616 , -0.486544, -0.649204],\n",
       "       ...,\n",
       "       [      nan,       nan,       nan, ...,  0.424352,  0.619544,  0.196628],\n",
       "       [      nan,       nan,       nan, ...,  0.131564,  0.489416, -0.063628],\n",
       "       [      nan,       nan,       nan, ...,  0.587012,  0.489416, -0.291352]],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>KDP</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-68ab7509-ea76-4e35-8c07-daa69765a330' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-68ab7509-ea76-4e35-8c07-daa69765a330' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d384138c-4275-48ad-a661-8953ab20c065' class='xr-var-data-in' type='checkbox'><label for='data-d384138c-4275-48ad-a661-8953ab20c065' 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>_Undetect :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Specific differential phase HV</dd><dt><span>units :</span></dt><dd>degrees per kilometer</dd><dt><span>standard_name :</span></dt><dd>radar_specific_differential_phase_hv</dd></dl></div><div class='xr-var-data'><pre>[673920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PHIDP</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 18.28 40.78 9.844</div><input id='attrs-97e3f76b-3182-48f5-95e4-5ec9330fd229' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-97e3f76b-3182-48f5-95e4-5ec9330fd229' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-426913c8-b19f-41fb-aa27-47bd760bcd95' class='xr-var-data-in' type='checkbox'><label for='data-426913c8-b19f-41fb-aa27-47bd760bcd95' 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>_Undetect :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Differential phase HV</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>standard_name :</span></dt><dd>radar_differential_phase_hv</dd></dl></div><div class='xr-var-data'><pre>array([[      nan,       nan,       nan, ...,  46.40625,  36.5625 ,  32.34375],\n",
       "       [      nan,       nan,       nan, ...,  46.40625,  50.625  ,  53.4375 ],\n",
       "       [      nan,       nan,       nan, ...,  43.59375,  45.     ,  50.625  ],\n",
       "       ...,\n",
       "       [      nan,       nan,       nan, ...,  91.40625,  68.90625, -57.65625],\n",
       "       [      nan,       nan,       nan, ...,  28.125  ,  28.125  , -14.0625 ],\n",
       "       [      nan,       nan,       nan, ...,  18.28125,  40.78125,   9.84375]],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RHOHV</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 0.2291 0.4382</div><input id='attrs-b3b612c5-e095-42ef-9d98-009f4a608117' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b3b612c5-e095-42ef-9d98-009f4a608117' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e12b4d04-df82-48fb-824b-6a1f1fe7beef' class='xr-var-data-in' type='checkbox'><label for='data-e12b4d04-df82-48fb-824b-6a1f1fe7beef' 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>_Undetect :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Correlation coefficient HV</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>standard_name :</span></dt><dd>radar_correlation_coefficient_hv</dd></dl></div><div class='xr-var-data'><pre>array([[    nan,     nan,     nan, ..., 0.41334, 0.49302, 0.61752],\n",
       "       [    nan,     nan,     nan, ..., 0.93624, 0.88146, 0.8715 ],\n",
       "       [    nan,     nan,     nan, ..., 1.00596, 0.996  , 0.9213 ],\n",
       "       ...,\n",
       "       [    nan,     nan,     nan, ..., 0.13446, 0.05478, 0.06972],\n",
       "       [    nan,     nan,     nan, ..., 0.31374, 0.21414, 0.29382],\n",
       "       [    nan,     nan,     nan, ..., 0.1494 , 0.22908, 0.43824]],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WRAD</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-36b7bd2e-04f4-40e8-978c-3f38c6d46d7f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-36b7bd2e-04f4-40e8-978c-3f38c6d46d7f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-02682c0c-5a43-4d24-af7e-cd04fa2494a2' class='xr-var-data-in' type='checkbox'><label for='data-02682c0c-5a43-4d24-af7e-cd04fa2494a2' 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>_Undetect :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Doppler spectrum width</dd><dt><span>units :</span></dt><dd>meters per second</dd><dt><span>standard_name :</span></dt><dd>radar_doppler_spectrum_width</dd></dl></div><div class='xr-var-data'><pre>[673920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>QC_INFO</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-240393b3-2e01-41eb-b803-54ffcf1a9227' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-240393b3-2e01-41eb-b803-54ffcf1a9227' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d958e583-5b80-4ae8-947d-5f7dca832426' class='xr-var-data-in' type='checkbox'><label for='data-d958e583-5b80-4ae8-947d-5f7dca832426' 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>_Undetect :</span></dt><dd>0</dd></dl></div><div class='xr-var-data'><pre>[673920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FUZZ</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>bool</div><div class='xr-var-preview xr-preview'>False False False ... False False</div><input id='attrs-34fbddf8-6f80-4cfe-b347-7aae7719390b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-34fbddf8-6f80-4cfe-b347-7aae7719390b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-02eeb3bf-4f87-4ab9-bad8-309c5899961b' class='xr-var-data-in' type='checkbox'><label for='data-02eeb3bf-4f87-4ab9-bad8-309c5899961b' 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]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DBZH_no_clutter</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... -32.0 -32.0 -32.0</div><input id='attrs-ba9cbe17-5751-4d07-8f32-6202575c1ef3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba9cbe17-5751-4d07-8f32-6202575c1ef3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-63601ec6-88ab-450d-bb9d-3698ddb6e5eb' class='xr-var-data-in' type='checkbox'><label for='data-63601ec6-88ab-450d-bb9d-3698ddb6e5eb' 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>standard_name :</span></dt><dd>radar_equivalent_reflectivity_factor_h</dd><dt><span>long_name :</span></dt><dd>Equivalent reflectivity factor H</dd><dt><span>unit :</span></dt><dd>dBZ</dd></dl></div><div class='xr-var-data'><pre>array([[  nan,   nan,   nan, ..., -32. ,  20. , -32. ],\n",
       "       [  nan,   nan,   nan, ...,  21. ,  21.5,  20.5],\n",
       "       [  nan,   nan,   nan, ...,  23. ,  22.5,  21.5],\n",
       "       ...,\n",
       "       [  nan,   nan,   nan, ..., -32. , -32. , -32. ],\n",
       "       [  nan,   nan,   nan, ..., -32. , -32. , -32. ],\n",
       "       [  nan,   nan,   nan, ..., -32. , -32. , -32. ]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-976b9471-9612-4d4f-9a4f-e67f483a8a2c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-976b9471-9612-4d4f-9a4f-e67f483a8a2c' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>fixed_angle :</span></dt><dd>0.5</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:          (azimuth: 720, range: 936)\n",
       "Coordinates: (12/15)\n",
       "  * azimuth          (azimuth) float64 0.25 0.75 1.25 1.75 ... 358.8 359.2 359.8\n",
       "    elevation        (azimuth) float64 0.5 0.5 0.5 0.5 0.5 ... 0.5 0.5 0.5 0.5\n",
       "    rtime            (azimuth) datetime64[ns] 2022-02-16T13:45:28.941817600 ....\n",
       "  * range            (range) float32 37.5 112.5 187.5 ... 7.009e+04 7.016e+04\n",
       "    time             datetime64[ns] 2022-02-16T13:45:01\n",
       "    sweep_mode       <U20 'azimuth_surveillance'\n",
       "    ...               ...\n",
       "    x                (azimuth, range) float64 0.1636 0.4909 ... -305.8 -306.1\n",
       "    y                (azimuth, range) float64 37.5 112.5 ... 7.008e+04 7.015e+04\n",
       "    z                (azimuth, range) float64 38.3 38.95 39.61 ... 939.2 940.3\n",
       "    gr               (azimuth, range) float64 37.5 112.5 ... 7.008e+04 7.015e+04\n",
       "    rays             (azimuth, range) float64 0.25 0.25 0.25 ... 359.8 359.8\n",
       "    bins             (azimuth, range) float32 37.5 112.5 ... 7.009e+04 7.016e+04\n",
       "Data variables:\n",
       "    RATE             (azimuth, range) float32 ...\n",
       "    DBZH             (azimuth, range) float32 nan nan nan ... -32.0 -32.0 -32.0\n",
       "    VRAD             (azimuth, range) float32 nan nan nan 0.0 ... nan nan nan\n",
       "    ZDR              (azimuth, range) float32 nan nan nan ... 0.4894 -0.2914\n",
       "    KDP              (azimuth, range) float32 ...\n",
       "    PHIDP            (azimuth, range) float32 nan nan nan ... 18.28 40.78 9.844\n",
       "    RHOHV            (azimuth, range) float32 nan nan nan ... 0.2291 0.4382\n",
       "    WRAD             (azimuth, range) float32 ...\n",
       "    QC_INFO          (azimuth, range) float32 ...\n",
       "    FUZZ             (azimuth, range) bool False False False ... False False\n",
       "    DBZH_no_clutter  (azimuth, range) float32 nan nan nan ... -32.0 -32.0 -32.0\n",
       "Attributes:\n",
       "    fixed_angle:  0.5"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds_no_clutter=wrf.clutter.dbzh_no_clutter(ds=ds_fuzz,\n",
    "                                          dims=['azimuth', 'range'])\n",
    "display(ds_no_clutter)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "05a2e6c5",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-info\">\n",
    "\n",
    "**Note** <br>\n",
    "\n",
    "The function works also for a xarray dataset which is linking over the time and for SCN/SCNX files.\n",
    "\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c84c1d60",
   "metadata": {},
   "source": [
    "Here we plot the reflecivity before and after clutter correction."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "2d3a6f65",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1400x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# georefenced dataset for plot\n",
    "ds_no_clutter_georef=ds_no_clutter.pipe(wrl.georef.georeference_dataset)\n",
    "\n",
    "# plot\n",
    "fig = plt.figure(figsize=(14, 5))\n",
    "\n",
    "# first subplot\n",
    "ax1 = fig.add_subplot(121)\n",
    "ds_no_clutter_georef.DBZH.plot(x=\"x\", y=\"y\", ax=ax1)\n",
    "t = plt.title(r'Raw reflectivity')\n",
    "t.set_y(1.1)\n",
    "\n",
    "# second subplot\n",
    "ax2 = fig.add_subplot(122)\n",
    "ds_no_clutter_georef.DBZH_no_clutter.plot(x=\"x\", y=\"y\", ax=ax2)\n",
    "t = plt.title(r'Clutter corrected reflectivity')\n",
    "t.set_y(1.1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "51a7fc5c",
   "metadata": {},
   "source": [
    "The result shows that we still have noise in the reflectivity. We can remove the noise with the variable RHOHV, which is a good indicator of noise. Is RHOHV < 0.9 then it is no rain but noise."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "6da5f83e",
   "metadata": {},
   "outputs": [],
   "source": [
    "ds_no_clutter=ds_no_clutter.where(ds_no_clutter.RHOHV>0.9)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "798de0b5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# georefenced dataset for plot\n",
    "ds_no_clutter_georef=ds_no_clutter.pipe(wrl.georef.georeference_dataset)\n",
    "\n",
    "ds_no_clutter_georef.DBZH.plot(x=\"x\", y=\"y\")\n",
    "t = plt.title(r'Clutter and RHOHV corrected reflectivity')\n",
    "t.set_y(1.1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "96e941dd",
   "metadata": {},
   "source": [
    "# Library Reference"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aee75180",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-info\">\n",
    "\n",
    "**Seealso** <br>\n",
    "\n",
    "Get more information about the clutter module in the [library reference section](https://fernlab.git-pages.gfz-potsdam.de/products/furuno/wrainfo/doc/wrainfo.html#module-wrainfo.clutter).\n",
    "\n",
    "</div>"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
