ai4s2s climpred demo

climpred_test.ipynb

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   "source": [
    "#!pip install climpred==2.2.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "93730a02-2610-4e80-b2a4-4d8a512e2f2d",
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   "source": [
    "#!pip install numpy==1.22"
   ]
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  {
   "cell_type": "code",
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   "id": "c0015b78-1e1a-45f0-b1fe-e387e25e9e18",
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   "source": [
    "#!pip install xclim"
   ]
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   "cell_type": "code",
   "execution_count": 3,
   "id": "cdd055a8-8c8a-41da-9fe7-f7a72326ca7e",
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   "outputs": [],
   "source": [
    "#!pip install bias_correction"
   ]
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Warning: ecCodes 2.21.0 or higher is recommended. You are running version 2.16.0\n"
     ]
    }
   ],
   "source": [
    "import climpred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "7e5910c8-dc3e-4be3-b2d6-f91eb0de489e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import xarray as xr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "f1e3db4c-ab02-4b93-a9ef-b5d1cf769f43",
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   "outputs": [],
   "source": [
    "#climpred.show_versions()"
   ]
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  {
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   "id": "2cd1ada8-f221-4b99-b7d7-e530c7b3ca71",
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   "source": [
    "obs = xr.open_dataset(\"/data/volume_2/observational/preprocessed/chirps_tp_2000-2020_4weekly_0.25deg_africa.nc\", use_cftime=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "42fdf735-89dc-4513-bb10-b4b5a3f6d11f",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:                        (latitude: 292, longitude: 278,\n",
       "                                    valid_time: 1113)\n",
       "Coordinates:\n",
       "  * latitude                       (latitude) float64 -35.38 -35.12 ... 37.38\n",
       "  * longitude                      (longitude) float64 -17.88 -17.62 ... 51.38\n",
       "  * valid_time                     (valid_time) object 2000-01-17 00:00:00 .....\n",
       "Data variables:\n",
       "    __xarray_dataarray_variable__  (valid_time, latitude, longitude) float32 ...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-7e2d3161-3f79-43d1-8864-4fd951bdad86' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7e2d3161-3f79-43d1-8864-4fd951bdad86' 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'>latitude</span>: 292</li><li><span class='xr-has-index'>longitude</span>: 278</li><li><span class='xr-has-index'>valid_time</span>: 1113</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-73664d75-d333-486b-b13b-36e718701a52' class='xr-section-summary-in' type='checkbox'  checked><label for='section-73664d75-d333-486b-b13b-36e718701a52' class='xr-section-summary' >Coordinates: <span>(3)</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'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-35.38 -35.12 ... 37.12 37.38</div><input id='attrs-3a0c0bb6-9163-479d-8b26-b41df4d980ae' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3a0c0bb6-9163-479d-8b26-b41df4d980ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5563bba5-07db-4586-888f-63a015ff895f' class='xr-var-data-in' type='checkbox'><label for='data-5563bba5-07db-4586-888f-63a015ff895f' 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([-35.375, -35.125, -34.875, ...,  36.875,  37.125,  37.375])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-17.88 -17.62 ... 51.12 51.38</div><input id='attrs-2bd614be-2667-4740-bb27-001f3a572987' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2bd614be-2667-4740-bb27-001f3a572987' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-05d77705-8c9b-4118-a525-5fde414594bc' class='xr-var-data-in' type='checkbox'><label for='data-05d77705-8c9b-4118-a525-5fde414594bc' 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([-17.875, -17.625, -17.375, ...,  50.875,  51.125,  51.375])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>valid_time</span></div><div class='xr-var-dims'>(valid_time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2000-01-17 00:00:00 ... 2021-01-...</div><input id='attrs-f2a73d6a-f496-4261-ab97-ac645a9e0d6f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f2a73d6a-f496-4261-ab97-ac645a9e0d6f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d8bf53a-4344-4125-a107-330304aefeb0' class='xr-var-data-in' type='checkbox'><label for='data-3d8bf53a-4344-4125-a107-330304aefeb0' 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([cftime.DatetimeProlepticGregorian(2000, 1, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 1, 24, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 1, 31, 0, 0, 0, 0, has_year_zero=True),\n",
       "       ...,\n",
       "       cftime.DatetimeProlepticGregorian(2021, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2021, 1, 8, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2021, 1, 15, 0, 0, 0, 0, has_year_zero=True)],\n",
       "      dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f642b1bf-42fc-48b9-981f-755f6767aa6b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f642b1bf-42fc-48b9-981f-755f6767aa6b' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>__xarray_dataarray_variable__</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2181d0bc-31f2-4a8f-a5a8-7b9f3dee618f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2181d0bc-31f2-4a8f-a5a8-7b9f3dee618f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-06da3f63-2901-4e95-bc69-64afb8ead06d' class='xr-var-data-in' type='checkbox'><label for='data-06da3f63-2901-4e95-bc69-64afb8ead06d' 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>convective precipitation rate</dd><dt><span>long_name :</span></dt><dd>Climate Hazards group InfraRed Precipitation with Stations</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>time_step :</span></dt><dd>4_week_accumulation</dd><dt><span>geostatial_lat_min :</span></dt><dd>-50.0</dd><dt><span>geostatial_lat_max :</span></dt><dd>50.0</dd><dt><span>geostatial_lon_min :</span></dt><dd>-180.0</dd><dt><span>geostatial_lon_max :</span></dt><dd>180.0</dd></dl></div><div class='xr-var-data'><pre>[90348888 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-afc6b923-c968-43ba-bf66-c682d6fcf836' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-afc6b923-c968-43ba-bf66-c682d6fcf836' 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:                        (latitude: 292, longitude: 278,\n",
       "                                    valid_time: 1113)\n",
       "Coordinates:\n",
       "  * latitude                       (latitude) float64 -35.38 -35.12 ... 37.38\n",
       "  * longitude                      (longitude) float64 -17.88 -17.62 ... 51.38\n",
       "  * valid_time                     (valid_time) object 2000-01-17 00:00:00 .....\n",
       "Data variables:\n",
       "    __xarray_dataarray_variable__  (valid_time, latitude, longitude) float32 ..."
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "obs # metadata missing # dataarray/variable name missing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "50b37771-9381-4b9b-bc7c-f8c0d879b81a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7f3415964be0>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "obs.isel(valid_time=-1).to_array().plot(robust=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "67ee1b7f-c8a2-42be-8ce3-3c759a5a1e0e",
   "metadata": {},
   "source": [
    "`climpred` observations requires dimension `time`: https://climpred.readthedocs.io/en/stable/setting-up-data.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "1a6e265d-4a2c-4ee5-a7fa-53f064280616",
   "metadata": {},
   "outputs": [],
   "source": [
    "obs = obs.rename({\"valid_time\":\"time\"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "274e9b2f-f189-4e8e-8ef5-610af0113fca",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "e37fd8e8-2fb6-471e-ad30-e38bf86cd187",
   "metadata": {},
   "outputs": [],
   "source": [
    "init = xr.open_dataset(\"/data/volume_2/subseasonal/ecmwf/aggregated/hindcast/ecmwf-hindcast-tp-week3456.nc\", use_cftime=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "fcf694e5-0b44-41bd-ada4-1a34a0888bcd",
   "metadata": {},
   "outputs": [
    {
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       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-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:                        (realization: 11, latitude: 121,\n",
       "                                    longitude: 240, valid_time: 1060)\n",
       "Coordinates:\n",
       "  * realization                    (realization) int64 0 1 2 3 4 5 6 7 8 9 10\n",
       "  * latitude                       (latitude) float64 90.0 88.5 ... -88.5 -90.0\n",
       "  * longitude                      (longitude) float64 0.0 1.5 ... 357.0 358.5\n",
       "  * valid_time                     (valid_time) object 2000-01-17 00:00:00 .....\n",
       "Data variables:\n",
       "    __xarray_dataarray_variable__  (valid_time, realization, latitude, longitude) float32 ...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-904a92ed-1cfb-473b-9c03-d1fd0a550214' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-904a92ed-1cfb-473b-9c03-d1fd0a550214' 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'>realization</span>: 11</li><li><span class='xr-has-index'>latitude</span>: 121</li><li><span class='xr-has-index'>longitude</span>: 240</li><li><span class='xr-has-index'>valid_time</span>: 1060</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-8feec4a3-794e-4eff-a9a5-be5ff107dfcb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8feec4a3-794e-4eff-a9a5-be5ff107dfcb' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>realization</span></div><div class='xr-var-dims'>(realization)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 7 8 9 10</div><input id='attrs-fff7c7c0-3b4e-4feb-b8fa-614a37ae7506' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fff7c7c0-3b4e-4feb-b8fa-614a37ae7506' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1cd2e6a0-9604-40c1-8a2a-34c87a8e7f83' class='xr-var-data-in' type='checkbox'><label for='data-1cd2e6a0-9604-40c1-8a2a-34c87a8e7f83' 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>ensemble member numerical id</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>standard_name :</span></dt><dd>realization</dd></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>90.0 88.5 87.0 ... -88.5 -90.0</div><input id='attrs-f6cf51dd-1cde-4888-a1fb-a3881c58339e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f6cf51dd-1cde-4888-a1fb-a3881c58339e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f34881f3-565b-47ef-b61f-c3b9239ae460' class='xr-var-data-in' type='checkbox'><label for='data-f34881f3-565b-47ef-b61f-c3b9239ae460' 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>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd></dl></div><div class='xr-var-data'><pre>array([ 90. ,  88.5,  87. ,  85.5,  84. ,  82.5,  81. ,  79.5,  78. ,  76.5,\n",
       "        75. ,  73.5,  72. ,  70.5,  69. ,  67.5,  66. ,  64.5,  63. ,  61.5,\n",
       "        60. ,  58.5,  57. ,  55.5,  54. ,  52.5,  51. ,  49.5,  48. ,  46.5,\n",
       "        45. ,  43.5,  42. ,  40.5,  39. ,  37.5,  36. ,  34.5,  33. ,  31.5,\n",
       "        30. ,  28.5,  27. ,  25.5,  24. ,  22.5,  21. ,  19.5,  18. ,  16.5,\n",
       "        15. ,  13.5,  12. ,  10.5,   9. ,   7.5,   6. ,   4.5,   3. ,   1.5,\n",
       "         0. ,  -1.5,  -3. ,  -4.5,  -6. ,  -7.5,  -9. , -10.5, -12. , -13.5,\n",
       "       -15. , -16.5, -18. , -19.5, -21. , -22.5, -24. , -25.5, -27. , -28.5,\n",
       "       -30. , -31.5, -33. , -34.5, -36. , -37.5, -39. , -40.5, -42. , -43.5,\n",
       "       -45. , -46.5, -48. , -49.5, -51. , -52.5, -54. , -55.5, -57. , -58.5,\n",
       "       -60. , -61.5, -63. , -64.5, -66. , -67.5, -69. , -70.5, -72. , -73.5,\n",
       "       -75. , -76.5, -78. , -79.5, -81. , -82.5, -84. , -85.5, -87. , -88.5,\n",
       "       -90. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.5 3.0 ... 355.5 357.0 358.5</div><input id='attrs-9f9fa447-888f-457a-8293-51311353c082' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f9fa447-888f-457a-8293-51311353c082' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3fdbdf3-0fda-4d3a-bbb4-cebbab5f02be' class='xr-var-data-in' type='checkbox'><label for='data-a3fdbdf3-0fda-4d3a-bbb4-cebbab5f02be' 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>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0. ,   1.5,   3. , ..., 355.5, 357. , 358.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>valid_time</span></div><div class='xr-var-dims'>(valid_time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2000-01-17 00:00:00 ... 2020-01-...</div><input id='attrs-a7b10db1-9a9c-4f7f-b416-6fd1843bbe42' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a7b10db1-9a9c-4f7f-b416-6fd1843bbe42' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bedbc171-f7b4-426f-9fc2-f969c7ae59b8' class='xr-var-data-in' type='checkbox'><label for='data-bedbc171-f7b4-426f-9fc2-f969c7ae59b8' 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([cftime.DatetimeProlepticGregorian(2000, 1, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 1, 24, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 1, 31, 0, 0, 0, 0, has_year_zero=True),\n",
       "       ...,\n",
       "       cftime.DatetimeProlepticGregorian(2020, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2020, 1, 8, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2020, 1, 15, 0, 0, 0, 0, has_year_zero=True)],\n",
       "      dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-96d42e6d-dd28-489d-bf60-1192beac7e85' class='xr-section-summary-in' type='checkbox'  checked><label for='section-96d42e6d-dd28-489d-bf60-1192beac7e85' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>__xarray_dataarray_variable__</span></div><div class='xr-var-dims'>(valid_time, realization, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6cd8ac92-90b2-45f6-84ee-f4057e50b658' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6cd8ac92-90b2-45f6-84ee-f4057e50b658' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed9aee02-f7e5-4008-b7b3-17fa3b33289a' class='xr-var-data-in' type='checkbox'><label for='data-ed9aee02-f7e5-4008-b7b3-17fa3b33289a' 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>GRIB_paramId :</span></dt><dd>228228</dd><dt><span>GRIB_dataType :</span></dt><dd>pf</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>29040</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>accum</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>240</dd><dt><span>GRIB_Ny :</span></dt><dd>121</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>tp</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/longitude </dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>1.5</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>1.5</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>358.5</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Total Precipitation</dd><dt><span>GRIB_shortName :</span></dt><dd>tp</dd><dt><span>GRIB_totalNumber :</span></dt><dd>11</dd><dt><span>GRIB_units :</span></dt><dd>kg m**-2</dd><dt><span>long_name :</span></dt><dd>Total Precipitation</dd><dt><span>units :</span></dt><dd>kg m**-2</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>cell_method :</span></dt><dd>lead_time: sum</dd></dl></div><div class='xr-var-data'><pre>[338606400 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-eccd469f-acf5-4d97-963e-7d71f27985b0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-eccd469f-acf5-4d97-963e-7d71f27985b0' 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:                        (realization: 11, latitude: 121,\n",
       "                                    longitude: 240, valid_time: 1060)\n",
       "Coordinates:\n",
       "  * realization                    (realization) int64 0 1 2 3 4 5 6 7 8 9 10\n",
       "  * latitude                       (latitude) float64 90.0 88.5 ... -88.5 -90.0\n",
       "  * longitude                      (longitude) float64 0.0 1.5 ... 357.0 358.5\n",
       "  * valid_time                     (valid_time) object 2000-01-17 00:00:00 .....\n",
       "Data variables:\n",
       "    __xarray_dataarray_variable__  (valid_time, realization, latitude, longitude) float32 ..."
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "init"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "71a6ff10-dc1d-43bd-9675-014e21abf271",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7f341408fbb0>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "init.isel(realization=0,valid_time=-1).to_array().plot(robust=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1f0c6beb-f689-46ef-a5f7-4ac863d2c119",
   "metadata": {},
   "source": [
    "`climpred` requires dimensions `init` as `forecast_reference_time` and `lead` as `forecast_period`: https://climpred.readthedocs.io/en/stable/setting-up-data.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "958e2ab1-7d2b-44c4-a280-60e5f220f712",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "lead = pd.Timedelta(\"14 days\")\n",
    "# drop valid_time which gets recreated by HindcastEnsemble\n",
    "init = init.assign_coords(lead=[lead], init=init.valid_time-lead).swap_dims({\"valid_time\":\"init\"}).drop(\"valid_time\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "c864248d-39b8-499a-92f3-b65a007c97e4",
   "metadata": {},
   "outputs": [
    {
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       ".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:                        (realization: 11, latitude: 121,\n",
       "                                    longitude: 240, init: 1060, lead: 1)\n",
       "Coordinates:\n",
       "  * realization                    (realization) int64 0 1 2 3 4 5 6 7 8 9 10\n",
       "  * latitude                       (latitude) float64 90.0 88.5 ... -88.5 -90.0\n",
       "  * longitude                      (longitude) float64 0.0 1.5 ... 357.0 358.5\n",
       "  * lead                           (lead) timedelta64[ns] 14 days\n",
       "  * init                           (init) object 2000-01-03 00:00:00 ... 2020...\n",
       "Data variables:\n",
       "    __xarray_dataarray_variable__  (init, realization, latitude, longitude) float32 ...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-7214673b-8107-4f14-aae1-ba43ea98c654' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7214673b-8107-4f14-aae1-ba43ea98c654' 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'>realization</span>: 11</li><li><span class='xr-has-index'>latitude</span>: 121</li><li><span class='xr-has-index'>longitude</span>: 240</li><li><span class='xr-has-index'>init</span>: 1060</li><li><span class='xr-has-index'>lead</span>: 1</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-1fcb319c-37fc-4f13-ae4c-01ce221fe46c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1fcb319c-37fc-4f13-ae4c-01ce221fe46c' class='xr-section-summary' >Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>realization</span></div><div class='xr-var-dims'>(realization)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 7 8 9 10</div><input id='attrs-6e7b115c-812a-4da4-9970-451c45a55f45' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6e7b115c-812a-4da4-9970-451c45a55f45' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f39c98ea-7f37-4c7d-95f1-31604202aff6' class='xr-var-data-in' type='checkbox'><label for='data-f39c98ea-7f37-4c7d-95f1-31604202aff6' 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>ensemble member numerical id</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>standard_name :</span></dt><dd>realization</dd></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>90.0 88.5 87.0 ... -88.5 -90.0</div><input id='attrs-b4981f60-897e-446d-b18b-2ca4c787d118' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b4981f60-897e-446d-b18b-2ca4c787d118' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-96a0f84a-cd6f-4faa-b9f2-89c3162ebc64' class='xr-var-data-in' type='checkbox'><label for='data-96a0f84a-cd6f-4faa-b9f2-89c3162ebc64' 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>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd></dl></div><div class='xr-var-data'><pre>array([ 90. ,  88.5,  87. ,  85.5,  84. ,  82.5,  81. ,  79.5,  78. ,  76.5,\n",
       "        75. ,  73.5,  72. ,  70.5,  69. ,  67.5,  66. ,  64.5,  63. ,  61.5,\n",
       "        60. ,  58.5,  57. ,  55.5,  54. ,  52.5,  51. ,  49.5,  48. ,  46.5,\n",
       "        45. ,  43.5,  42. ,  40.5,  39. ,  37.5,  36. ,  34.5,  33. ,  31.5,\n",
       "        30. ,  28.5,  27. ,  25.5,  24. ,  22.5,  21. ,  19.5,  18. ,  16.5,\n",
       "        15. ,  13.5,  12. ,  10.5,   9. ,   7.5,   6. ,   4.5,   3. ,   1.5,\n",
       "         0. ,  -1.5,  -3. ,  -4.5,  -6. ,  -7.5,  -9. , -10.5, -12. , -13.5,\n",
       "       -15. , -16.5, -18. , -19.5, -21. , -22.5, -24. , -25.5, -27. , -28.5,\n",
       "       -30. , -31.5, -33. , -34.5, -36. , -37.5, -39. , -40.5, -42. , -43.5,\n",
       "       -45. , -46.5, -48. , -49.5, -51. , -52.5, -54. , -55.5, -57. , -58.5,\n",
       "       -60. , -61.5, -63. , -64.5, -66. , -67.5, -69. , -70.5, -72. , -73.5,\n",
       "       -75. , -76.5, -78. , -79.5, -81. , -82.5, -84. , -85.5, -87. , -88.5,\n",
       "       -90. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.5 3.0 ... 355.5 357.0 358.5</div><input id='attrs-be18d2cc-17cf-4918-9b3d-ff6ec07a35ef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-be18d2cc-17cf-4918-9b3d-ff6ec07a35ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ccb0fd2f-ad22-453e-ac40-7bcd8654b810' class='xr-var-data-in' type='checkbox'><label for='data-ccb0fd2f-ad22-453e-ac40-7bcd8654b810' 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>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0. ,   1.5,   3. , ..., 355.5, 357. , 358.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lead</span></div><div class='xr-var-dims'>(lead)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>14 days</div><input id='attrs-9280a2a1-86eb-4295-9806-0746e74a99d7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9280a2a1-86eb-4295-9806-0746e74a99d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3ad0b2e-0d04-43a4-8505-cb8aaa08751a' class='xr-var-data-in' type='checkbox'><label for='data-f3ad0b2e-0d04-43a4-8505-cb8aaa08751a' 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([1209600000000000], dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>init</span></div><div class='xr-var-dims'>(init)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2000-01-03 00:00:00 ... 2020-01-...</div><input id='attrs-f77d2f05-3b41-473f-8ea7-543623d17825' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f77d2f05-3b41-473f-8ea7-543623d17825' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3fd9e77-0fcf-478f-83ae-297480e29538' class='xr-var-data-in' type='checkbox'><label for='data-b3fd9e77-0fcf-478f-83ae-297480e29538' 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([cftime.DatetimeProlepticGregorian(2000, 1, 3, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 1, 10, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 1, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       ...,\n",
       "       cftime.DatetimeProlepticGregorian(2019, 12, 18, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2019, 12, 25, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2020, 1, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "      dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-32366f3e-73ff-44cf-a057-1321ed5f6630' class='xr-section-summary-in' type='checkbox'  checked><label for='section-32366f3e-73ff-44cf-a057-1321ed5f6630' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>__xarray_dataarray_variable__</span></div><div class='xr-var-dims'>(init, realization, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7c7adc89-fba6-49a5-aaa9-ae4e08f76543' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7c7adc89-fba6-49a5-aaa9-ae4e08f76543' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-476a7aa9-7cb9-4ade-b521-51f6d50b12d5' class='xr-var-data-in' type='checkbox'><label for='data-476a7aa9-7cb9-4ade-b521-51f6d50b12d5' 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>GRIB_paramId :</span></dt><dd>228228</dd><dt><span>GRIB_dataType :</span></dt><dd>pf</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>29040</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>accum</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>240</dd><dt><span>GRIB_Ny :</span></dt><dd>121</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>tp</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/longitude </dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>1.5</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>1.5</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>358.5</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Total Precipitation</dd><dt><span>GRIB_shortName :</span></dt><dd>tp</dd><dt><span>GRIB_totalNumber :</span></dt><dd>11</dd><dt><span>GRIB_units :</span></dt><dd>kg m**-2</dd><dt><span>long_name :</span></dt><dd>Total Precipitation</dd><dt><span>units :</span></dt><dd>kg m**-2</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>cell_method :</span></dt><dd>lead_time: sum</dd></dl></div><div class='xr-var-data'><pre>[338606400 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e8028b5a-2b62-4ec9-8e35-412d2dd81d2f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e8028b5a-2b62-4ec9-8e35-412d2dd81d2f' 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:                        (realization: 11, latitude: 121,\n",
       "                                    longitude: 240, init: 1060, lead: 1)\n",
       "Coordinates:\n",
       "  * realization                    (realization) int64 0 1 2 3 4 5 6 7 8 9 10\n",
       "  * latitude                       (latitude) float64 90.0 88.5 ... -88.5 -90.0\n",
       "  * longitude                      (longitude) float64 0.0 1.5 ... 357.0 358.5\n",
       "  * lead                           (lead) timedelta64[ns] 14 days\n",
       "  * init                           (init) object 2000-01-03 00:00:00 ... 2020...\n",
       "Data variables:\n",
       "    __xarray_dataarray_variable__  (init, realization, latitude, longitude) float32 ..."
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "init "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "73337433-68f7-4910-8838-f91c07ac42c6",
   "metadata": {},
   "outputs": [],
   "source": [
    "# subselect africa\n",
    "init = init.sel(longitude=slice(0,52),latitude=slice(38,-36)) #  lat -36,38 should have worked but didnt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "89d8bbc6-b86a-4d34-96b8-38d07263a6c7",
   "metadata": {},
   "outputs": [],
   "source": [
    "# interpolate on same grid\n",
    "# init = init.interp_like(obs) # all 0.25 deg\n",
    "obs = obs.interp_like(init).astype(\"float32\") # all 1.5 deg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "8f39679a-0f49-4271-b844-a6d9bb9ed2a7",
   "metadata": {},
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    {
     "name": "stderr",
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     "text": [
      "/home/aspring/.local/lib/python3.8/site-packages/climpred/checks.py:202: UserWarning: Did not find dimension \"member\", but renamed dimension realization with CF-complying standard_name \"realization\" to member.\n",
      "  warnings.warn(\n",
      "/home/aspring/.local/lib/python3.8/site-packages/xarray/coding/times.py:360: FutureWarning: Index.ravel returning ndarray is deprecated; in a future version this will return a view on self.\n",
      "  sample = dates.ravel()[0]\n"
     ]
    }
   ],
   "source": [
    "he = climpred.HindcastEnsemble(init).add_observations(obs)"
   ]
  },
  {
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   "execution_count": 16,
   "id": "b841ddf9-6a97-4ab2-a9a6-21b1b6e42d71",
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       "</style><pre class='xr-text-repr-fallback'>&lt;Initialized Ensemble&gt;\n",
       "Dimensions:                        (member: 11, latitude: 50, longitude: 35,\n",
       "                                    init: 1060, lead: 1)\n",
       "Coordinates:\n",
       "  * member                         (member) int64 0 1 2 3 4 5 6 7 8 9 10\n",
       "  * latitude                       (latitude) float64 37.5 36.0 ... -34.5 -36.0\n",
       "  * longitude                      (longitude) float64 0.0 1.5 3.0 ... 49.5 51.0\n",
       "  * lead                           (lead) float64 2.0\n",
       "  * init                           (init) object 2000-01-03 00:00:00 ... 2020...\n",
       "    valid_time                     (lead, init) object 2000-01-17 00:00:00 .....\n",
       "Data variables:\n",
       "    __xarray_dataarray_variable__  (init, member, latitude, longitude) float32 ...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>Initialized Ensemble</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-b0684a94-2fa5-492d-9280-1bdeac28cac6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b0684a94-2fa5-492d-9280-1bdeac28cac6' 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'>member</span>: 11</li><li><span class='xr-has-index'>latitude</span>: 50</li><li><span class='xr-has-index'>longitude</span>: 35</li><li><span class='xr-has-index'>init</span>: 1060</li><li><span class='xr-has-index'>lead</span>: 1</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-49dcf538-eae5-414f-8721-55dc04b3fda4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-49dcf538-eae5-414f-8721-55dc04b3fda4' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>member</span></div><div class='xr-var-dims'>(member)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 7 8 9 10</div><input id='attrs-df1cdc6e-f6fd-42eb-8f4c-021991710797' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df1cdc6e-f6fd-42eb-8f4c-021991710797' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f3e0adc-db9e-4a3f-9b9e-340761987814' class='xr-var-data-in' type='checkbox'><label for='data-2f3e0adc-db9e-4a3f-9b9e-340761987814' 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>Member</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>standard_name :</span></dt><dd>realization</dd><dt><span>description :</span></dt><dd>Realization is used to label a dimension that can be thought of as a statistical sample, e.g., labelling members of a model ensemble.</dd></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>37.5 36.0 34.5 ... -34.5 -36.0</div><input id='attrs-5594f346-302d-4694-84e6-a9ab2613037f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5594f346-302d-4694-84e6-a9ab2613037f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c840dc6-6c87-47f1-83d9-f9b9d47cafac' class='xr-var-data-in' type='checkbox'><label for='data-3c840dc6-6c87-47f1-83d9-f9b9d47cafac' 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>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd><dt><span>amip :</span></dt><dd>latitude</dd><dt><span>description :</span></dt><dd>Latitude is positive northward; its units of degree_north (or equivalent) indicate this explicitly. In a latitude-longitude system defined with respect to a rotated North Pole, the standard name of grid_latitude should be used instead of latitude. Grid latitude is positive in the grid-northward direction, but its units should be plain degree.</dd></dl></div><div class='xr-var-data'><pre>array([ 37.5,  36. ,  34.5,  33. ,  31.5,  30. ,  28.5,  27. ,  25.5,  24. ,\n",
       "        22.5,  21. ,  19.5,  18. ,  16.5,  15. ,  13.5,  12. ,  10.5,   9. ,\n",
       "         7.5,   6. ,   4.5,   3. ,   1.5,   0. ,  -1.5,  -3. ,  -4.5,  -6. ,\n",
       "        -7.5,  -9. , -10.5, -12. , -13.5, -15. , -16.5, -18. , -19.5, -21. ,\n",
       "       -22.5, -24. , -25.5, -27. , -28.5, -30. , -31.5, -33. , -34.5, -36. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.5 3.0 4.5 ... 48.0 49.5 51.0</div><input id='attrs-63ed2250-dff2-41da-a22c-f7ad60cc98f2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-63ed2250-dff2-41da-a22c-f7ad60cc98f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d5740657-417a-4ac6-8e0a-78f823d2fd12' class='xr-var-data-in' type='checkbox'><label for='data-d5740657-417a-4ac6-8e0a-78f823d2fd12' 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>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>amip :</span></dt><dd>longitude</dd><dt><span>description :</span></dt><dd>Longitude is positive eastward; its units of degree_east (or equivalent) indicate this explicitly. In a latitude-longitude system defined with respect to a rotated North Pole, the standard name of grid_longitude should be used instead of longitude. Grid longitude is positive in the grid-eastward direction, but its units should be plain degree.</dd></dl></div><div class='xr-var-data'><pre>array([ 0. ,  1.5,  3. ,  4.5,  6. ,  7.5,  9. , 10.5, 12. , 13.5, 15. , 16.5,\n",
       "       18. , 19.5, 21. , 22.5, 24. , 25.5, 27. , 28.5, 30. , 31.5, 33. , 34.5,\n",
       "       36. , 37.5, 39. , 40.5, 42. , 43.5, 45. , 46.5, 48. , 49.5, 51. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lead</span></div><div class='xr-var-dims'>(lead)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.0</div><input id='attrs-f775ed02-438f-4a99-85bd-a126ae30c545' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f775ed02-438f-4a99-85bd-a126ae30c545' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9627eab8-24e8-4f63-a180-c369478da25f' class='xr-var-data-in' type='checkbox'><label for='data-9627eab8-24e8-4f63-a180-c369478da25f' 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>weeks</dd><dt><span>standard_name :</span></dt><dd>forecast_period</dd><dt><span>long_name :</span></dt><dd>Lead</dd><dt><span>description :</span></dt><dd>Forecast period is the time interval between the forecast reference time and the validity time. A period is an interval of time, or the time-period of an oscillation.</dd></dl></div><div class='xr-var-data'><pre>array([2.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>init</span></div><div class='xr-var-dims'>(init)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2000-01-03 00:00:00 ... 2020-01-...</div><input id='attrs-478f29d4-5115-44cf-b5ef-46091c13fba8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-478f29d4-5115-44cf-b5ef-46091c13fba8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a83d510-4197-43a2-830f-87eef9931325' class='xr-var-data-in' type='checkbox'><label for='data-4a83d510-4197-43a2-830f-87eef9931325' 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>forecast_reference_time</dd><dt><span>long_name :</span></dt><dd>Initialization</dd><dt><span>description :</span></dt><dd>The forecast reference time in NWP is the &quot;data time&quot;, the time of the analysis from which the forecast was made. It is not the time for which the forecast is valid; the standard name of time should be used for that time.</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeProlepticGregorian(2000, 1, 3, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 1, 10, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 1, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       ...,\n",
       "       cftime.DatetimeProlepticGregorian(2019, 12, 18, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2019, 12, 25, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2020, 1, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>valid_time</span></div><div class='xr-var-dims'>(lead, init)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2000-01-17 00:00:00 ... 2020-01-...</div><input id='attrs-b04770a2-76ab-40bc-a220-772c0deaa880' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b04770a2-76ab-40bc-a220-772c0deaa880' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-29ba3c0a-0a66-4177-a9cd-2b58ccb016cd' class='xr-var-data-in' type='checkbox'><label for='data-29ba3c0a-0a66-4177-a9cd-2b58ccb016cd' 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>validity time</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>description :</span></dt><dd>time for which the forecast is valid</dd><dt><span>calculate :</span></dt><dd>init + lead</dd><dt><span>amip :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([[cftime.DatetimeProlepticGregorian(2000, 1, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeProlepticGregorian(2000, 1, 24, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeProlepticGregorian(2000, 1, 31, 0, 0, 0, 0, has_year_zero=True),\n",
       "        ...,\n",
       "        cftime.DatetimeProlepticGregorian(2020, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeProlepticGregorian(2020, 1, 8, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeProlepticGregorian(2020, 1, 15, 0, 0, 0, 0, has_year_zero=True)]],\n",
       "      dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6cd0d3e6-2a7b-4580-9041-9d1f2cc0a9ce' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6cd0d3e6-2a7b-4580-9041-9d1f2cc0a9ce' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>__xarray_dataarray_variable__</span></div><div class='xr-var-dims'>(init, member, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-57c138c8-4602-4af7-8e98-9cd9df8b06a8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-57c138c8-4602-4af7-8e98-9cd9df8b06a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31d3c5ab-a0f6-48d9-9bc8-f9c245f9b734' class='xr-var-data-in' type='checkbox'><label for='data-31d3c5ab-a0f6-48d9-9bc8-f9c245f9b734' 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>GRIB_paramId :</span></dt><dd>228228</dd><dt><span>GRIB_dataType :</span></dt><dd>pf</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>29040</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>accum</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>240</dd><dt><span>GRIB_Ny :</span></dt><dd>121</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>tp</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/longitude </dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>1.5</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>1.5</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>358.5</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Total Precipitation</dd><dt><span>GRIB_shortName :</span></dt><dd>tp</dd><dt><span>GRIB_totalNumber :</span></dt><dd>11</dd><dt><span>GRIB_units :</span></dt><dd>kg m**-2</dd><dt><span>long_name :</span></dt><dd>Total Precipitation</dd><dt><span>units :</span></dt><dd>kg m**-2</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>cell_method :</span></dt><dd>lead_time: sum</dd></dl></div><div class='xr-var-data'><pre>[20405000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5718157a-2605-4fc0-9a75-01900e596931' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5718157a-2605-4fc0-9a75-01900e596931' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
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       ".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",
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       "\n",
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       "\n",
       ".xr-var-dims {\n",
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       "}\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",
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       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
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       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
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       "\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;Observations&gt;\n",
       "Dimensions:                        (time: 1113, latitude: 50, longitude: 35)\n",
       "Coordinates:\n",
       "  * time                           (time) object 2000-01-17 00:00:00 ... 2021...\n",
       "  * latitude                       (latitude) float64 37.5 36.0 ... -34.5 -36.0\n",
       "  * longitude                      (longitude) float64 0.0 1.5 3.0 ... 49.5 51.0\n",
       "Data variables:\n",
       "    __xarray_dataarray_variable__  (time, latitude, longitude) float32 nan .....</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>Observations</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-04954827-82ee-438f-bc1c-f3e574f180bb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-04954827-82ee-438f-bc1c-f3e574f180bb' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1113</li><li><span class='xr-has-index'>latitude</span>: 50</li><li><span class='xr-has-index'>longitude</span>: 35</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-0aa5dd85-bafc-4f31-b531-4f03183ffb41' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0aa5dd85-bafc-4f31-b531-4f03183ffb41' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2000-01-17 00:00:00 ... 2021-01-...</div><input id='attrs-626b2933-e433-4c2f-b52d-2fa96a1b5871' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-626b2933-e433-4c2f-b52d-2fa96a1b5871' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9554d346-f44b-48ec-8a38-db0c03af46b9' class='xr-var-data-in' type='checkbox'><label for='data-9554d346-f44b-48ec-8a38-db0c03af46b9' 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([cftime.DatetimeProlepticGregorian(2000, 1, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 1, 24, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 1, 31, 0, 0, 0, 0, has_year_zero=True),\n",
       "       ...,\n",
       "       cftime.DatetimeProlepticGregorian(2021, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2021, 1, 8, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2021, 1, 15, 0, 0, 0, 0, has_year_zero=True)],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>37.5 36.0 34.5 ... -34.5 -36.0</div><input id='attrs-753c2a18-d5ad-4888-a422-4eb4d16c7dfa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-753c2a18-d5ad-4888-a422-4eb4d16c7dfa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec4175ff-0c02-4fa5-8f37-537eb2257210' class='xr-var-data-in' type='checkbox'><label for='data-ec4175ff-0c02-4fa5-8f37-537eb2257210' 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>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd></dl></div><div class='xr-var-data'><pre>array([ 37.5,  36. ,  34.5,  33. ,  31.5,  30. ,  28.5,  27. ,  25.5,  24. ,\n",
       "        22.5,  21. ,  19.5,  18. ,  16.5,  15. ,  13.5,  12. ,  10.5,   9. ,\n",
       "         7.5,   6. ,   4.5,   3. ,   1.5,   0. ,  -1.5,  -3. ,  -4.5,  -6. ,\n",
       "        -7.5,  -9. , -10.5, -12. , -13.5, -15. , -16.5, -18. , -19.5, -21. ,\n",
       "       -22.5, -24. , -25.5, -27. , -28.5, -30. , -31.5, -33. , -34.5, -36. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.5 3.0 4.5 ... 48.0 49.5 51.0</div><input id='attrs-f4a2a506-916a-4d58-8518-210ac9727e15' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f4a2a506-916a-4d58-8518-210ac9727e15' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2062acdf-5d22-4dae-a5d7-4d51ddc56732' class='xr-var-data-in' type='checkbox'><label for='data-2062acdf-5d22-4dae-a5d7-4d51ddc56732' 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>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([ 0. ,  1.5,  3. ,  4.5,  6. ,  7.5,  9. , 10.5, 12. , 13.5, 15. , 16.5,\n",
       "       18. , 19.5, 21. , 22.5, 24. , 25.5, 27. , 28.5, 30. , 31.5, 33. , 34.5,\n",
       "       36. , 37.5, 39. , 40.5, 42. , 43.5, 45. , 46.5, 48. , 49.5, 51. ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9cab3615-5101-49e6-862d-fd3cbee4c278' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9cab3615-5101-49e6-862d-fd3cbee4c278' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>__xarray_dataarray_variable__</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-aa4404da-93be-497e-9735-b056134503e3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aa4404da-93be-497e-9735-b056134503e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-13f59d01-267e-4ffb-9dcc-9521d34ade4a' class='xr-var-data-in' type='checkbox'><label for='data-13f59d01-267e-4ffb-9dcc-9521d34ade4a' 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>convective precipitation rate</dd><dt><span>long_name :</span></dt><dd>Climate Hazards group InfraRed Precipitation with Stations</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>time_step :</span></dt><dd>4_week_accumulation</dd><dt><span>geostatial_lat_min :</span></dt><dd>-50.0</dd><dt><span>geostatial_lat_max :</span></dt><dd>50.0</dd><dt><span>geostatial_lon_min :</span></dt><dd>-180.0</dd><dt><span>geostatial_lon_max :</span></dt><dd>180.0</dd></dl></div><div class='xr-var-data'><pre>array([[[        nan,         nan,         nan, ...,         nan,\n",
       "                 nan,         nan],\n",
       "        [  4.2247047,  14.094817 ,  25.252491 , ...,  58.63185  ,\n",
       "         177.98346  , 163.4406   ],\n",
       "        [ 12.795706 ,  11.550631 ,  10.167349 , ...,  48.480824 ,\n",
       "          60.861137 ,  25.025085 ],\n",
       "        ...,\n",
       "        [  0.       ,   0.       ,   0.       , ...,   0.       ,\n",
       "           0.       ,   0.       ],\n",
       "        [  0.       ,   0.       ,   0.       , ...,   0.       ,\n",
       "           0.       ,   0.       ],\n",
       "        [        nan,         nan,         nan, ...,         nan,\n",
       "                 nan,         nan]],\n",
       "\n",
       "       [[        nan,         nan,         nan, ...,         nan,\n",
       "                 nan,         nan],\n",
       "        [  4.2247047,   9.590516 ,  18.543541 , ...,  58.63185  ,\n",
       "         177.98346  , 167.14621  ],\n",
       "        [ 12.795706 ,  11.550631 ,   4.847823 , ...,  49.678337 ,\n",
       "          60.861137 ,  29.243073 ],\n",
       "...\n",
       "        [  0.       ,   0.       ,   0.       , ...,   0.       ,\n",
       "           0.       ,   0.       ],\n",
       "        [  0.       ,   0.       ,   0.       , ...,   0.       ,\n",
       "           0.       ,   0.       ],\n",
       "        [        nan,         nan,         nan, ...,         nan,\n",
       "                 nan,         nan]],\n",
       "\n",
       "       [[        nan,         nan,         nan, ...,         nan,\n",
       "                 nan,         nan],\n",
       "        [  8.115257 ,  31.206917 ,  87.28843  , ...,  39.020096 ,\n",
       "         115.91663  , 100.98237  ],\n",
       "        [ 18.042122 ,  12.768827 ,   9.600269 , ...,  42.650036 ,\n",
       "          35.716236 ,  14.996954 ],\n",
       "        ...,\n",
       "        [  0.       ,   0.       ,   0.       , ...,   0.       ,\n",
       "           0.       ,   0.       ],\n",
       "        [  0.       ,   0.       ,   0.       , ...,   0.       ,\n",
       "           0.       ,   0.       ],\n",
       "        [        nan,         nan,         nan, ...,         nan,\n",
       "                 nan,         nan]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0196f1e3-370f-4f13-b6f7-070e982b6978' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0196f1e3-370f-4f13-b6f7-070e982b6978' 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>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": []
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# metadata added by cf-xarray\n",
    "he"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "890018d4-4a84-4337-b0d5-235db6d18a7c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# alternatively regrid on same grid with climpred wrapping xesmf\n",
    "# he.smooth({\"latitude\":1.5, \"longitude\":1.5})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "d7366762-3c00-491e-aeab-b79ae755ebbb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 3.31 s, sys: 104 ms, total: 3.42 s\n",
      "Wall time: 3.43 s\n"
     ]
    }
   ],
   "source": [
    "# skill https://climpred.readthedocs.io/en/stable/api/climpred.classes.HindcastEnsemble.verify.html#climpred.classes.HindcastEnsemble.verify\n",
    "%time skill = he.verify(metric='crps', comparison='m2o', dim='member', alignment='same_verifs', reference=[\"climatology\", \"persistence\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "9009a9bb-e823-4ba0-a8ae-b48e5442a8bf",
   "metadata": {},
   "outputs": [
    {
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       "\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:                        (skill: 3, init: 990, latitude: 50,\n",
       "                                    longitude: 35)\n",
       "Coordinates:\n",
       "  * init                           (init) object 2000-01-17 00:00:00 ... 2020...\n",
       "  * latitude                       (latitude) float64 37.5 36.0 ... -34.5 -36.0\n",
       "  * longitude                      (longitude) float64 0.0 1.5 3.0 ... 49.5 51.0\n",
       "    lead                           float64 2.0\n",
       "    valid_time                     (init) object 2000-01-31 00:00:00 ... 2020...\n",
       "  * skill                          (skill) &lt;U11 &#x27;initialized&#x27; ... &#x27;persistence&#x27;\n",
       "Data variables:\n",
       "    __xarray_dataarray_variable__  (skill, init, latitude, longitude) float64 ...\n",
       "Attributes:\n",
       "    prediction_skill_software:     climpred https://climpred.readthedocs.io/\n",
       "    skill_calculated_by_function:  HindcastEnsemble.verify()\n",
       "    number_of_members:             11\n",
       "    alignment:                     same_verifs\n",
       "    metric:                        crps\n",
       "    comparison:                    m2o\n",
       "    dim:                           member\n",
       "    reference:                     [&#x27;climatology&#x27;, &#x27;persistence&#x27;]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-889dc3f1-49a5-47b6-9ed5-7e69474d81c6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-889dc3f1-49a5-47b6-9ed5-7e69474d81c6' 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'>skill</span>: 3</li><li><span class='xr-has-index'>init</span>: 990</li><li><span class='xr-has-index'>latitude</span>: 50</li><li><span class='xr-has-index'>longitude</span>: 35</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-2cc4c695-7ac8-46a4-9470-910148fe6af7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2cc4c695-7ac8-46a4-9470-910148fe6af7' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>init</span></div><div class='xr-var-dims'>(init)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2000-01-17 00:00:00 ... 2020-01-...</div><input id='attrs-15155fa0-4fba-4690-bc2a-c94b51ea77c8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-15155fa0-4fba-4690-bc2a-c94b51ea77c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f210393c-bed9-4e8a-afdd-0624c37958fd' class='xr-var-data-in' type='checkbox'><label for='data-f210393c-bed9-4e8a-afdd-0624c37958fd' 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([cftime.DatetimeProlepticGregorian(2000, 1, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 1, 24, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 1, 31, 0, 0, 0, 0, has_year_zero=True),\n",
       "       ...,\n",
       "       cftime.DatetimeProlepticGregorian(2019, 12, 18, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2019, 12, 25, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2020, 1, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>37.5 36.0 34.5 ... -34.5 -36.0</div><input id='attrs-0311c5c1-6df5-49f1-955a-c293d18966cf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0311c5c1-6df5-49f1-955a-c293d18966cf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-42d17af5-822d-4788-98eb-c788e9b5b3be' class='xr-var-data-in' type='checkbox'><label for='data-42d17af5-822d-4788-98eb-c788e9b5b3be' 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([ 37.5,  36. ,  34.5,  33. ,  31.5,  30. ,  28.5,  27. ,  25.5,  24. ,\n",
       "        22.5,  21. ,  19.5,  18. ,  16.5,  15. ,  13.5,  12. ,  10.5,   9. ,\n",
       "         7.5,   6. ,   4.5,   3. ,   1.5,   0. ,  -1.5,  -3. ,  -4.5,  -6. ,\n",
       "        -7.5,  -9. , -10.5, -12. , -13.5, -15. , -16.5, -18. , -19.5, -21. ,\n",
       "       -22.5, -24. , -25.5, -27. , -28.5, -30. , -31.5, -33. , -34.5, -36. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.5 3.0 4.5 ... 48.0 49.5 51.0</div><input id='attrs-93ebdb3b-c594-47bd-97d2-f3007a8f7e36' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-93ebdb3b-c594-47bd-97d2-f3007a8f7e36' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe0ecfe4-d453-4a5c-b3b2-674699745546' class='xr-var-data-in' type='checkbox'><label for='data-fe0ecfe4-d453-4a5c-b3b2-674699745546' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0. ,  1.5,  3. ,  4.5,  6. ,  7.5,  9. , 10.5, 12. , 13.5, 15. , 16.5,\n",
       "       18. , 19.5, 21. , 22.5, 24. , 25.5, 27. , 28.5, 30. , 31.5, 33. , 34.5,\n",
       "       36. , 37.5, 39. , 40.5, 42. , 43.5, 45. , 46.5, 48. , 49.5, 51. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lead</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.0</div><input id='attrs-63be9a42-c251-4d03-9e05-c6d087cd4089' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-63be9a42-c251-4d03-9e05-c6d087cd4089' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0382326-cd8a-48a0-a66a-0bb84ce3f533' class='xr-var-data-in' type='checkbox'><label for='data-b0382326-cd8a-48a0-a66a-0bb84ce3f533' 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>weeks</dd><dt><span>standard_name :</span></dt><dd>forecast_period</dd><dt><span>long_name :</span></dt><dd>Lead</dd><dt><span>description :</span></dt><dd>Forecast period is the time interval between the forecast reference time and the validity time. A period is an interval of time, or the time-period of an oscillation.</dd></dl></div><div class='xr-var-data'><pre>array(2.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>valid_time</span></div><div class='xr-var-dims'>(init)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2000-01-31 00:00:00 ... 2020-01-...</div><input id='attrs-fb1f0d5e-cf2c-4204-b9c8-98c49348eb75' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fb1f0d5e-cf2c-4204-b9c8-98c49348eb75' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3888625-6649-42aa-801a-644f8ea6dbe6' class='xr-var-data-in' type='checkbox'><label for='data-b3888625-6649-42aa-801a-644f8ea6dbe6' 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([cftime.DatetimeProlepticGregorian(2000, 1, 31, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 2, 7, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 2, 14, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 2, 21, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 2, 28, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 3, 6, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 3, 13, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 3, 20, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 3, 27, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 4, 3, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 4, 10, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 4, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 4, 24, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 5, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 5, 8, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 5, 15, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 5, 22, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 5, 29, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 6, 5, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 6, 12, 0, 0, 0, 0, has_year_zero=True),\n",
       "...\n",
       "       cftime.DatetimeProlepticGregorian(2019, 9, 11, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2019, 9, 18, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2019, 9, 25, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2019, 10, 2, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2019, 10, 9, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2019, 10, 16, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2019, 10, 23, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2019, 10, 30, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2019, 11, 6, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2019, 11, 13, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2019, 11, 20, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2019, 11, 27, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2019, 12, 4, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2019, 12, 11, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2019, 12, 18, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2019, 12, 25, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2020, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2020, 1, 8, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2020, 1, 15, 0, 0, 0, 0, has_year_zero=True)],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>skill</span></div><div class='xr-var-dims'>(skill)</div><div class='xr-var-dtype'>&lt;U11</div><div class='xr-var-preview xr-preview'>&#x27;initialized&#x27; ... &#x27;persistence&#x27;</div><input id='attrs-22704a80-8487-405a-a385-5b57aa8f2096' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-22704a80-8487-405a-a385-5b57aa8f2096' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-236f6ed2-d437-422d-a689-cf2f9807c73a' class='xr-var-data-in' type='checkbox'><label for='data-236f6ed2-d437-422d-a689-cf2f9807c73a' 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>description :</span></dt><dd>new dimension prediction skill of initialized and reference forecasts created by .verify() or .bootstrap()</dd><dt><span>documentation :</span></dt><dd>https://climpred.readthedocs.io/en/v2.2.0/reference_forecast.html</dd><dt><span>initialized :</span></dt><dd>initialized forecast skill</dd><dt><span>climatology :</span></dt><dd>climatology forecast skill</dd><dt><span>persistence :</span></dt><dd>persistence forecast skill</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;initialized&#x27;, &#x27;climatology&#x27;, &#x27;persistence&#x27;], dtype=&#x27;&lt;U11&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-162507f5-f3f5-434e-82fe-530e1694da20' class='xr-section-summary-in' type='checkbox'  checked><label for='section-162507f5-f3f5-434e-82fe-530e1694da20' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>__xarray_dataarray_variable__</span></div><div class='xr-var-dims'>(skill, init, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-e2ae532c-0734-4f66-8c5f-d0d7c9873cf9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e2ae532c-0734-4f66-8c5f-d0d7c9873cf9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-53b14410-2734-473b-9a10-a0b9bb8ea82c' class='xr-var-data-in' type='checkbox'><label for='data-53b14410-2734-473b-9a10-a0b9bb8ea82c' 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>GRIB_paramId :</span></dt><dd>228228</dd><dt><span>GRIB_dataType :</span></dt><dd>pf</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>29040</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>accum</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>240</dd><dt><span>GRIB_Ny :</span></dt><dd>121</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>tp</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/longitude </dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>1.5</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>1.5</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>358.5</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Total Precipitation</dd><dt><span>GRIB_shortName :</span></dt><dd>tp</dd><dt><span>GRIB_totalNumber :</span></dt><dd>11</dd><dt><span>GRIB_units :</span></dt><dd>kg m**-2</dd><dt><span>long_name :</span></dt><dd>Total Precipitation</dd><dt><span>units :</span></dt><dd>kg m**-2</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>cell_method :</span></dt><dd>lead_time: sum</dd></dl></div><div class='xr-var-data'><pre>array([[[[         nan,          nan,          nan, ...,          nan,\n",
       "                   nan,          nan],\n",
       "         [ 37.52082894,  17.13473647,   5.5945479 , ...,   5.78352004,\n",
       "           33.36614341,  36.27377698],\n",
       "         [  3.40953634,   6.1133361 ,  22.09888936, ...,  20.69845061,\n",
       "            5.87948329,   3.08685706],\n",
       "         ...,\n",
       "         [ 17.5917656 ,  13.81310379,  12.02719797, ...,  50.84702219,\n",
       "           56.87268066,  55.80647618],\n",
       "         [ 24.40743085,  18.49980882,  14.85132794, ...,  56.9096715 ,\n",
       "           55.89577163,  60.046932  ],\n",
       "         [         nan,          nan,          nan, ...,          nan,\n",
       "                   nan,          nan]],\n",
       "\n",
       "        [[         nan,          nan,          nan, ...,          nan,\n",
       "                   nan,          nan],\n",
       "         [ 22.36369956,  21.94304433,  17.33302692, ...,  12.11774724,\n",
       "           13.60407065,  26.58276121],\n",
       "         [  5.8747233 ,   9.96152455,   6.08443025, ...,  18.50277492,\n",
       "            5.66268087,  21.14533328],\n",
       "...\n",
       "         [  0.        ,   0.        ,   0.        , ...,   0.        ,\n",
       "            0.        ,   0.        ],\n",
       "         [  0.        ,   0.        ,   0.        , ...,   0.        ,\n",
       "            0.        ,   0.        ],\n",
       "         [         nan,          nan,          nan, ...,          nan,\n",
       "                   nan,          nan]],\n",
       "\n",
       "        [[         nan,          nan,          nan, ...,          nan,\n",
       "                   nan,          nan],\n",
       "         [  0.75670624,   4.29405594,   9.28271484, ...,   0.89439392,\n",
       "            2.05184174,  12.32609558],\n",
       "         [  0.        ,   0.        ,   1.07921219, ...,   3.34568024,\n",
       "            7.22145844,   6.48067856],\n",
       "         ...,\n",
       "         [  0.        ,   0.        ,   0.        , ...,   0.        ,\n",
       "            0.        ,   0.        ],\n",
       "         [  0.        ,   0.        ,   0.        , ...,   0.        ,\n",
       "            0.        ,   0.        ],\n",
       "         [         nan,          nan,          nan, ...,          nan,\n",
       "                   nan,          nan]]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a6cd4713-776a-4517-ac8f-c81a5e9455d5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a6cd4713-776a-4517-ac8f-c81a5e9455d5' class='xr-section-summary' >Attributes: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>prediction_skill_software :</span></dt><dd>climpred https://climpred.readthedocs.io/</dd><dt><span>skill_calculated_by_function :</span></dt><dd>HindcastEnsemble.verify()</dd><dt><span>number_of_members :</span></dt><dd>11</dd><dt><span>alignment :</span></dt><dd>same_verifs</dd><dt><span>metric :</span></dt><dd>crps</dd><dt><span>comparison :</span></dt><dd>m2o</dd><dt><span>dim :</span></dt><dd>member</dd><dt><span>reference :</span></dt><dd>[&#x27;climatology&#x27;, &#x27;persistence&#x27;]</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:                        (skill: 3, init: 990, latitude: 50,\n",
       "                                    longitude: 35)\n",
       "Coordinates:\n",
       "  * init                           (init) object 2000-01-17 00:00:00 ... 2020...\n",
       "  * latitude                       (latitude) float64 37.5 36.0 ... -34.5 -36.0\n",
       "  * longitude                      (longitude) float64 0.0 1.5 3.0 ... 49.5 51.0\n",
       "    lead                           float64 2.0\n",
       "    valid_time                     (init) object 2000-01-31 00:00:00 ... 2020...\n",
       "  * skill                          (skill) <U11 'initialized' ... 'persistence'\n",
       "Data variables:\n",
       "    __xarray_dataarray_variable__  (skill, init, latitude, longitude) float64 ...\n",
       "Attributes:\n",
       "    prediction_skill_software:     climpred https://climpred.readthedocs.io/\n",
       "    skill_calculated_by_function:  HindcastEnsemble.verify()\n",
       "    number_of_members:             11\n",
       "    alignment:                     same_verifs\n",
       "    metric:                        crps\n",
       "    comparison:                    m2o\n",
       "    dim:                           member\n",
       "    reference:                     ['climatology', 'persistence']"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "skill"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "0628059a-39f1-4daa-8949-c5a82c87deb2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.plot.facetgrid.FacetGrid at 0x7f3412373310>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x648 with 13 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "skill.groupby(\"init.season\").mean().to_array().plot(robust=True,col=\"season\",row=\"skill\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "2094b63c-e3c8-4d2d-bc90-6349d19da62e",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/aspring/.local/lib/python3.8/site-packages/xclim/sdba/utils.py:346: RuntimeWarning: All-NaN slice encountered in interp_on_quantiles\n",
      "  warn(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 35.6 s, sys: 224 ms, total: 35.8 s\n",
      "Wall time: 40.4 s\n"
     ]
    }
   ],
   "source": [
    "# do some bias reduction before skill\n",
    "%time he_bias_removed = he.remove_bias(how=\"EmpiricalQuantileMapping\", alignment=\"same_verifs\")\n",
    "# fixing https://github.com/pangeo-data/climpred/issues/771\n",
    "he_bias_removed._datasets[\"initialized\"] = he_bias_removed._datasets[\"initialized\"].assign_coords(lead=he.coords[\"lead\"],valid_time=he.coords[\"valid_time\"])#.verify(metric='crps', comparison='m2o', dim='member', alignment='same_verifs', reference=\"climatology\").groupby(\"init.season\").mean().to_array().plot(robust=True,col=\"season\",row=\"skill\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "0d00a0f9-680f-4a5b-b510-3ff718213faf",
   "metadata": {},
   "outputs": [],
   "source": [
    "# quick fix pos precip\n",
    "he_bias_removed._datasets[\"initialized\"] = he_bias_removed._datasets[\"initialized\"].where(he_bias_removed._datasets[\"initialized\"]>0, other=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "c878fc56-d606-4ca5-99a3-4a46467897fb",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/aspring/.local/lib/python3.8/site-packages/climpred/classes.py:713: UserWarning: Error due to verification/control/uninitialized: xr.sel((), {'init': slice('2000', '2008', None)}) failed\n",
      "KeyError: \"'init' is not a valid dimension or coordinate\"\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "# kernel fails for all inits somehow\n",
    "bias_removed_skill = he_bias_removed.sel(init=slice(\"2000\",\"2008\")).verify(metric='crps', comparison='m2o', dim='member', alignment='same_verifs', reference=[\"climatology\", \"persistence\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "018db097-606f-478c-9a06-90a1f9c0feb5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.plot.facetgrid.FacetGrid at 0x7f3413242760>"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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LEvQtaz61+vea++tfnw272szjx8MEy9Y61vWUJW38sW6nw5dru9rpzeGZZx9eo68HAPVN+lYF9XaD5mnFXSHfEXIcx3Ecx3EWTdIflpz2Ielu0DyttivUljtCjuM4juM4juMsL0l3g+ZptV0h3xFyHMdxHMdxHGdBLHQ3aJ5W2hVqix0hKpaQPjB8IsGI78GGjZDUu1pa9SREI9qGY/LijSotOxJeLz5/SOXJ37FHpcXjoTbZ0tvyUy7UFRNS1rRRT4xoHbLU8VtxXYLYN09UNNTzlo9oHfr0Sy5TaelZYSMyYWj4Dd2ztD+ILLsVw5VnSniRzk/p8wa4V6WVOkI9+GOvOonu+Xo72SSOwbWxgxLcJ6BtdEzNt7R7MCQLUZ++T9W/jDa0Yuio6+X0/GbpwNMDQju9bkCf9+jjKk3G/0n16PglpjZdpFmxjSzbkqgztFcoGzFVWoEk0pQlif7ODNTOoVY/EfMuW3ZElrtdGdPGil9iuHUnYYti2lAYz1bafyWxzzJt7lA/3pXZ9g3a/5h2DvI843rxqBE7KyPqaTyraN1alZbedSA8L0mMMeiYRNGUtufMD2sbIe4zbIQWQGqmhJ4HhoM0GgntTdmwI2Orv8n52vqGMOZKGU+r3K3tk7lXf1gWz7ooLOemO3SdOnWbQbwv4ivO03U60KAt27i2o47lszVi05GIPyTHIADEF2vbqYHbw77LxncGGf1UxjvChGHzldG2RTQb9t30sJ73uw8a3/KiL+x+7UlsivUjXFUsdDdonlbaFfIdIcdxHMdxHGfRyEWQ0740uhs0T6vsCq3YjhAR5QHcBCBXrcfnmPn3iWgAwKcB7EAl6O5rmbnBSJCO4ziO4ziO4ywlje4GzdMqu0IrKY0rAHguM08SUQbA94noawBeCeBGZr6WiN4N4N0A3nXKksoxeMxwc12LJa0QcBzrfNY2v9giJ2OLtfuHu3X5omxTwmJsv0dbQgmd5RoSE1pyRKOiXoZ0zJK9xRNhW6akdAkAG9IKWVZq22aVp2uvfk7R8fEwocHI1CadekseCSSRuUP6mW77dJj2wDu3LK5uAMAcSmwSSpaUvMaQyEi5HMclRMINtSXvofWDKi1+LPTxGRtuVJVr7HJZ1cuUJYn+xmPjKo8lVZJyC8tdu+V2W0owUt2G1MYYh0rWZ0iXrDG9JDK0BZDkerIfAKjMyAuhVAYb0tqF1kXJ4KD7pTlXphK8Ny3JqIHZHvUwnr8lUW34+VuytwR1SCLFi7bo8A58PJSLRTn9K6/1npUyXSl5AmC/R0VbxXNaGsWG6/FU0ZBlL4RSGXQ0/G1Vy8GNedEa23LOs1yzWy7jxTsuNWH8IG7UIXdYuIBer0N3cL8hd+4NpXeZvYab7yQmBYbLevMd0iXeu5aMVLybo2xGpXFRXy+aEvPwwBrdVsZ3jXq3Wm7YrW8PI6SFpPOgbrv+H4Xjafeb9ffQaoaItjzl0hz+6r26Dy6Et72lD1e9Yh/e/h7KMfNC30JLwoothJiZAcx/WWaq/zGAlwO4qpr+EQDfRb2F0FKRYLHkOKuVhj72oBdBiUnyIec4juO0DWoRlBTrR8skWHaHzrKz2N2geVphV2hFv1SIKEVEdwA4AuCbzPwjABuY+SAAVP9d5M8/juM4juM4juMslsXaBklW2lZoRb3GMXMZwCVE1A/gi0RkuD6zIaJrAFwDAPlocV5kHKeZBH0XSzOROE4zCPoued91Vgf+veA4S8dS7QbNs9K7Qi3hPpuZR4nouwCuBnCYiIaY+SARDaGyW2Sdcx2A6wCgL7WWA52ypQs3dOhSCme6II4Nfa900WrYS1iaaJnPVJ5aelThhUW6OQVga3dlHQzpn1V3qYUuD2tfFWZbSfYfUknxo/p6kXTFbemJrXsWz8FyPc05fV48EH7AlTv0edmD2k6l9Ni+4Pi899py1j1mak2davtueh1Tjd0M5bR8zdJg2657Q5RbagDxjtDerJzT954+GtoBKBexAFJnbtMXPBzqzs1+k8B1sLRxOBmWu1VVdII85UnDjWoCbBs/a5O9uTZCSbBsvJIQ9N3MeqaOE7YH5eHG3O9a/UvZm1kksCVMbJ+TxFW1gXQ/Hxku46WbaMuFPNhwzSzKssd8fZs0+b4CYLo8Vu9Ny110h3bzTNKuY9awV7XGRU7aKxohLoznVzp4WJdVBznn1rNBY8sVvGXrI9/Xln2U0Y7qXq3xaLniFmVZ9pQQtl6Adv1v3YtZzwRhGlIDhltoYQsaH9N1ku6ryXrP7XpUn7dN2OYaY860tZXScCuP8b3A4jmUe7WEL3NUe8orPx5+L5zxWT12AOAhM7V1WSrbIMlK2gqtmDSOiNZVd4JARB0AfgrAA6hEYXljNdsbAXxpZWroOO2FXAQ5jtM4VgwuxzntMRziOO3DW9/c9/hvvX1gyXaD5pnfFfrg+9cZvxQtLytpIzQE4DtEdBeAm1GxEfoygGsBPJ+IHgbw/Oqx4ziO4ziO4zgrwFLbBklWylZoJb3G3QXgUiP9OIDnNb9GjuM4juM4juNIlto2SLJStkItYSO0WJjteDgBhh5U6tBNXbqh+ZX6YlPOaGmihQ49kZ2NhaExT6KpT3y9BvXyUmdt2iEYZcciJpHUxgMAGTFiIPTq3KnPm1vbqdLibPhssiPGTmxJ95e00CZLm6GGSKfDuD2WbvnIMZUUdYX3RV36PsvivNRhrVGevkzHNuANYRyhHsP2o/TAI7pOQoNtxecpG3E2tD6/9WxqACRyB27ZuyibDWOsmmOzwXHYNMplxDVxZVJr+nQWaSdmxbuqN3cDoChZzJ4kbdbwvCvLseKuWPY/8noJ4w9JW0kzHpDV30ph+VZ8LctOSY7DlGUDlzWen7AJol5DMmjZpMj3r2EHarn8b9S+7UQBMVi0CQmZo9nWVgy0BDaIVp9P9L62vllkjKiEY0DaqSWdY1XcubJhxyVte+aKahyYcedE/6KEz1XFLrNsDI1YeJwR3yc5/c60NFLRVDjOpQ1t5YL6eaZ2nhkcl+/X78zVxHLZBklWwlbIA304juM4juM4i8b8McBpB969HLZBkvldIQC/sKwXqsEXQo7jOI7jOI7jnIynLZdtkORVL+kGgJ9sysXQJtK4ijZObAcnkLGY28PiPErgotWUezQq72lQDsMNXi6J9CC9Qce0LR3WXs3VNn3Ce5HyAkuSwcavECQlNWUtE+C0sWVdEFKlklFPy3WpaKvo8pOEvbrlc3a6RbGIeP/BE3Wx3IRb8kwpPTAkZ7L9ywcPIeoIXX/mj+lt7tR9e8JiAMRCWmHKL0pFdZykTzTadxUJ5KiLOU9KY2JDGpXq7dHFi+dnua5N4ua7YRLMhZVKLO4yVh+MesL2kJKkk1ZF9JvYkM8lcV/e6DxsyaCUxK0cq7nSev5lw1W1nHet31iTyIkSP1uJ1b+7xLOyrm/Nw3J+MkNVGHWQ8mNDXmSFoZCuoAEA2nvxSWFm1S+khNOSnCVy12+cZ8o6Zbe0viGMsrhQf7clvXmTSivtPxAcW21IxjtPydRndB71bgAQCdm6tYtguWIvS9mb1S7CpTcKBVC3+ECfMDrEgHB1XyiC06J8w0O9+j5IuuMlQpqk1g7Y+RbuDX6l4OXeDZrHmtqXk/bcEWr05dDoeY6zCpCLoKRYL7okLJUthuO0Io3aqlg/PiXBXPg5ToshF0FJUYughKhFUELUIsg5bWmPHSHHcRzHcRzHcZaFGM1x4BMvVp6wQHxJ7DiO4ziO4zjOacdpvSOUyG1vpJsoyof62nhyUudJIH9ILK2Qkj1D3y3dagIAZYWrTamtPUkdUkLXL7WuAJDevlXXU+jqSw/t1nkS2GyUjfa07JQUKa1fTU8lcM07Z+Th+r9IRMca28oPSEVhhPo+bWOAaUObLuxMorVrVBbpPjueLYAu2Blm+sEd6jzaeVaYMKFtHCyZjnKHmjVsvQxbDznuLJfAVj/Vrl31+G3U/sgcT/L+jDaIDXsQqbOPDCkHGfOFsi2xxk4C+ybzWVla74U6KiUK5hjlRhfali2xy+skMuUEc0kSN8UAkBoIx48l05E2cAAQ5UIZEBnjNxJ917I1SfVp1+MQ5yWVHKXE+LFc1lttVx4L71neG3ASGZK8Z8Oulvu1K/04L9zt7z2o8lgeyLhcf05fLEn7jbIpTurmXWXSfSu9XttvlkUoAxlGAQDiozrcgpwDLJm05WadxdxvzcPpLToEQ/lQaEOcGuhXeWQ/SQ/od5j8pgD0/cXj+nshZdjV0nQ4wVmhDsz3vrQ36tRtx4eP6vOEzZXlbn+1UW5SSIdmXWce3xFynNMEtQhyHKdhrIWC45zuyEWQ47Q6p/WOkOM4juM4juM4p6ZZtjvsNkKO4ziO4ziO4zjLS3vuCCXUnCeJMWHFColEvAPTVsDy9y/qkFqjdeGWJjoSsSmsGD6Wflz56Tc0xzw+rs8TOnAWumQAoC6tFS9sCu8n3nG5ypO54WaVJtvFiuHBRa2hVvXMGrrgOf2MoxmhFS4YmnPDLgrSBiKBHVF9KHSaf3xEZ7HiO0idcsGI+XGRkMLd+4jKk+rW2v3Sw7vCyyd09ytjxpRHdb8xz7O02jKPZa8gzjNj8RjjXur/Lfscy44nicbbKgvievGYHnOWXYWySTLsFa05jNLCbsWaGwydO/brpHrUXt+04xJjma3xaI73cExaNhuNumdP9fWqtJJhV1EPa44nw9U8nb09OE4fGdaFGTYb6VzYl+JRwyYxgUtt096FtA2cFQdMYdikcEbY2nYY9nVF/dxTh8J2sOwH5dgBgChjxHgyqroQpE2gtK8FAOrRc2VZvIut8W/FlpK2L/ER3f/iMW1vaH0zSMyxLe2FjfeM6Z5d2DemLNsiEYOJshllj2x915CIq2N9i8SG7Y1sAxkDCgBgxOPjLjEPGn2SjDZnMabZGocWcm5uUgye5aR5XuPcRshxHMdxHMdZZVhOmRynlWnPHSHHcRzHcRzHcZaE8pKoYJJcpymXeYK2WQjVl0kYkgxLxpIS8jXDpWN89HiYQBFIbHWTIVlJDa7VZY2K7WBj+7Qkt80pQkpIFGJj6zklJTHT02DhdhlDWi4XP7pPpUVSVifLAZA9Em4r8+7HVR6SrrkBlKWLTkPilO43JAFCoqiOAaQmDLmUlPoZ55mSE0sut1giCmULhiTDamspWYDxKxw9Ito/l0NZbPOnLFmYJX8QsjBTRiH6W6pjI0r7Q5e4psTJknfJ8hO404w6OpQMzHKDbEmx5PO2ZHCy7FRHHrxOzA/7tWzVksKlhCzEkj1J17iW9C8yZF4S3j6k0mbXaYnTgqVxURRICE33/AnkhGxI6pRUqcOQKlp9XjxH8/qW3EqMA+nyHLDdC6ekW39jrMYigj1vGgTNCunfEfFOARBbbus7w+dmSbikDInSaTXuo7whs5TSOGNcxj1aZhnnjDlLNHF6zHDhLZ47ZTNKbmzNM+odtkAoIiVhI+Fu2boGGWlq/Fmuww335STlzsY7KNpgfC8Ij2zWd48laZTfMdaYg+Fy2nqv1IOyWf3cDHk3hNydOjpUnzD7oGhPyuVUe7IVxiBlmEeI90NshQCw3k9Clh11GpJRy/RikX3XWR5cGleLMVCSIBdBSVGLoITIRVBSGn2BqEWQsyqRH0NJSfIxayEXQUkxF1lJzksYZ0XR4PXUIijp5cQiyFmdqEVQQuQiKPF5xsdWEhod9w3TqClEk35tdpaXRudvuQhKfD1rkZUAuQhKfL0ENq0mvghqWVZsIUREW4noO0R0PxHdS0S/Vk0fIKJvEtHD1X8b+9pwHMdxHMdxHGfRxOCm/Hc6uc8uAfgNZj4fwFMBvI2IngTg3QBuZOadAG6sHjuO4ziO4ziO44CI9hDR3UR0BxHdUk1b8GbKitkIMfNBAAer/z9BRPcD2Azg5QCuqmb7CIDvAnjXqcqiSNjMGHpb062tlNIYW/OWvEe5wzRsR1JbNqm0+JBwBWnZPcT13f1amHYP0tXmYcNFrGHTEG0N617u0zYjqb2HVRodC21vrDW9ZcskbVIs/XJZ2mUBwJGwPaMn7dR5CoZfVfncLbet1vZ+r3Cf2qC0MYAIXOsmN23omBWlqmYAACAASURBVK2tf5EUD2rXrmmh+U6vW6u02qVde3SVRH9L4t4Y0LZzacu+zrJ7EK6qTbueBC68TVucDYbLeCEVkppzAEitM/T5onzLPsdyIS3tTUx7oHWDKk1Jda15zXATC9Ges+sN+5ql+AksLiOemHzi0NLJQ8hIyOgTliRGylasOSGyyhJtRse0q2qrf8k5nc/eqvPsE3NluaztKgwbETy4J6yT5YI6QcgHa+xYdqeJ7GwalCHFt9+n0uauvjKsU1Hfi/WhwdOhzRtZdqBW2IRTV7E+FOnvATm2DBkTW/Yj0k20MS9aoS14IJw7rOFoSbci8bxN+yPD1kfa3Vo2cJbbbWkrac2V8juGoW38lCtpAJhE3TxW343W9IenHdLfIibCxs+SKJMxp/NEWFHKJQsnIe2rrHEPANDDumUpN2mnZoHXeQ4z137czm+mXEtE764en3IN0RI2QkS0A8ClAH4EYEN1kTS/WDKF2ER0DRHdQkS3zLERs8dxWpSg75aNF8ty0aCW2nHmCefd09xNrmVc7rQkQb+NDQc6zpKhFkGO01xejsomCqr//nS9E1b8y4iIugF8HsD/YubEP7Ez83XMfAUzX5GlBo2kHWcFCPpuqjEDaMdZCcJ5tzEnMY7TbIJ+GxkBRx3HqUuzbITiyo7QmfM/XlT/u8aoEgP4BhHdWvP3RJsptazoT1pElEFlEfRxZv5CNfkwEQ0x80EiGgKgtVuO4ziO4ziO47Qju5n5tXXyPIOZDxDRegDfJKIHGrnQii2EiIgA/DOA+5n5AzV/uh7AGwFcW/33S3ULi6JQ35rEvgMAhA/+2LAHSg8arm6Fvrh8+KjKwo/poBzS9iJR/BRoGxoa2qDylHfv0ecJKRQZdg8w/O2X1oQ2BWPn6F2LgQcfU2nSjXjUrW0T4k16cR4dCm2XLLfilstKFrZZNGKIbS2X6FKz3Wmozie1ZK3cEz6HyLDnAQAcspNNiAK7ICsmB2d1nyh3hGm5/brNuDN8HlZcp/SZ21VafFBorg27B+t5RFJzbdl1GLYwMuZDytBpFy8+U6WlpkLNfjRlSLWm68tgUgP9Kk1q+AEg3h6Ou9k1WiveYTwrq90lxTP0uMgcFdr0gm7PeJNuT5oL7RTijO7fHQeWwKUyI5hDzflMxvcw5kprvibxTOL9elDNnb1RpWWGxbg9ZNhAGjYb0k4NMgYXgFjYq5g2Ykasp/ji0HaRjfGUGjaeh4wRM2fYDxp9Qs2LlrtfK86dCJNQOqjb3IoxljsWStOntun3Rc6og7LHsOZqw8QTXcaOjmH+uhBUTCrDHs+KWyVtrSxZmGlb9OCjIkH3iej8s3VFxTvOtDsx+oQch1aogdj4FojWh/NLZMXimTLim60N7ffikVGVJ54M5zdrPFk2UPHR8GGbMXysOFDSLsyQtrIRK0zFLbLiuRkhRsiKT7jKaVZA1TjhdZj5QPXfI0T0RQBPQQObKSspjXsGgP8B4LlVjw93ENGLUVkAPZ+IHgbw/Oqx4ziO4ziO08LIRZDjLAdE1EVEPfP/D+AFAO7Bic0UIOFmykp6jfs+Tu4A5nnNrIvjOI7jOI7jODaGb8uVvM4GAF+s7rylAXyCmb9ORDcD+AwR/TyAxwC8pl5BbeP2ZuLpJ6QzPT/ai+lLQvennbtHgAkhP+jqBKQrW0O2UB4eCY5TGzcoOZwlC9Hb3SnhErWsXKSejNryCbaML+rpUWkSeV7U0w02XJRGtz944uCcS7Hms3eEGbJZUz6AUk07RGS6E8UDu8Pj/l4thzOkAlJKwSOjSnZQFnKO1JZNgHABinwOqHXj3dkBjAtfnlFkulNPHTtRT+7KgSbCbXPuWbjzg3LXCQkblWLMDYSStsxkCdNDoZSBRdPn9gPjF4TSx54HRxB3npADEACcLyRmo1PgDi3xqpUR8Mwsor6wb8UTk4ikRHOuqF3JS8lRYU4/DwA4Y8uJ/3/sII698vzgz327CsiMhJKEOJtGauJEGkcRhq8I22DtTfswcWnoDr77O+MoX3DGE8fpR/Zj+vIdQZ6Ox8Ywtz6859RMCdObT8hy0tNlUFn3kclzwl9Eu3Y/Djpr24l6PvQoyJAYZR4Scto1fSjW1CEzOg4e1DI+KhlzlpBxdn43dHvM52wH7hfjcKFkM4i2DD1xGB88rOUnzKDsCbkQzxZAwq0/j0+C5K/IpVKlP9WQEueVAWQPCDfb+QyoRmrL0JIYjmNE2zaH1zuq3WxTTyin5uGRwP1/1NeL+Lg4L51W7n1jAOX8iVdtemoOqTFDsmnJOOV7RUp+slkt50mnEdVIpuLJKSWF4skp5YoZzKEk9OAhxM++NMgS3fyA6Xqb7qp5X2y7FKmiHhcyDAABoXvsdEq7Ks5klDyKctlw/jZkXvUw3bHXSKzimRklA4ynp3VfmptTcjj5LUCplB0q4xTXf4J9Qqbc1Rl8e6TWD6J0IHynp9euRel4GMog1d2NuGbeTXV2oCTDT3R0mO/r0t4TMtHUwBoVRoDSGaBG9h8fH1FhBKJ8TrvwTsnvIZjfXyp0Asf6PCmvLZUQiRAmfORY8Nypq9N0k25RO4ehVDK/2+RcEPX2hN9D6ZR+P7on14Zh5t0ALjbSj2OBmyltsRAqd4cfjnIRBEAvgoCGFkGAtglKtgiCHjwNLIKApVsEAai/CAL0IgiovwiCHVNBLYJg2AQlWAQBWnstF0EA7I9uGctILoKAuosgAGoRdLK0U8HCbkwuggCoRZCFXAQBCBZBAPQiCKi7CAKgFkEA9CIIqL8IAuovggC1CAKgFkEAgkUQALUIAqAWQQCCRRAAtQgCoBZBAIJFEIBEiyAAwSIIQLJFEBAsggAs2SIIwOIXQQZWrLbgAwJQiyAAehEE1F0EAXoRBCBYBJ2sTmoRZCAXQYCOgaYWQdAxToBwEQRg6RZBsG0aImE3YtmDqEUQtF2cXAQB9gIiWAQBiRZBAFSMILkIAmwbETV/G7HpTolljyMWIZYtlNm/6yyCTna9etcHoBdB0N8echEEQC2CAASLIABqEQTY7+vaRRBgx2qDeIdZsdQs27mGFkHWeZZdtRHHUfXdRhZB1vVhzwXye8iKN2mmtTAtGkdo0fhy1HEcx3Ecx3FaBCJ6QdXYH0S0k4heSUQeb2MZ8IWQ4ziO4ziO47QOfwZgmIj6AXwdwAsBfGZlq9SetIU0LjU+ja4b7grS5DZvbLlfFlulLN2VwnZnLbe6pVvsynl6S9faMtbo68ltbUsmUh4xZCKToRwwMlyIl8/T7pPTD+8Lr29Ix5S7WejtYXM73EC5HLWkBIbbzpSQ1FiuZNX2NAAuCB265YLUkqFIjXNm8RG0y/kIo+eeuH66oPtgnNL9KzMdttH0oCEPKNYPHJgd1/eZodAt8dwaQ8o1ashRuoQdguFevLRNu6OfWReOlVKHvt/xc3WfT82JtrJcrxhpU5vCepYM9+n5Yd1vyrkw3+QmPcZntTdr7Ht+KJc677e0DK48rN3LlvPh2ORBPX6zj2rPoOlZITnSVTJlPliYqhMAhRr3rdqddaknbOvUhO43nDHcZ0tJnTW2E7hGx3YtkcGM4XJauEbmSS2ltty6k5SNGpLa3H3CFbfhttdCyfMsF9SW/FS8x8pbdKeM5vS4L6wL58G5Xv1c+oaMZ7wv7M/FTuP3VWMOU26ljbYzpWYLlcIpCCSegXS3rORQgOlyXL5TpavlynmG5EvIJWND4mhK8cT3SJTXUmpTvniukEXv17I75a7duJ5VT9kuUSZtfEvpvpQywnnEwlwh2qjdUieSnBkyPylbLR/RPtetbyvVKsa3iPWdGIs5hCy376cmZuYCEb0KwGeY+T1EdPtCC1lKDDX4smB0xWWlLXeETNsUx3Ecx1ki1CLIcRzzB+UkyEWQgzkiejmAXwHwlWqa8cu8s1jaYkfIcRzHcRzHcdqEXwbwuwBuYObvV2Pm/PFKVqjF3GcvGb4QchzHcRzHcZwWgZlvB/DKmuMJAJ9duRq1L+25EDJsTKSdDaBteyLLjsjQBUs9qLUVbNoDJXGXbeRJdYU6YMuFpaVRVXU3tMrpR7S9gtKwG5pYqQsHDFufhEidM+W07tlyuxxvWR+Wc1i7OkePoaHfH7rZjo9p15dxwdChy2eTwC1qPeI0MDN4oh9mx7WWfma9SkI0J5630bVmB8PnmDWUB6mC7vO5wVCbnpnSY2B2UNtLRKVwHEjX4AAwu0ZXdHJLmK/Yo8fT+E6VhIG7wrIyU/q8qY16XMwKM6XshC47KunzSqJblgzTsue8+DaV9u095wTH5YvOUnnMcTguYnFMGvY1hv1eeTS08bNc0MZLIB+OO9KYfNIJ+5OMYW/GwjZk/EztKjs1q59bfiS0HzFdlW/R80Tv7tBuKH1UP9y4X88JJNzIRwWjfYQNC3dpt9RxXo+nOBemZY4abqINGxoZoqDcrSeC1JSeF2c3hZK9Ypcec9MbdP9OvyR0qZz5sOFiu1/bqaU5tMPqv0PbXkiX7gAAYUPBJR3KYVmIIlBnWB8W9mambZJlNyTsRC27UVqvXaqzsKdNrdW2k7HhTpzku3JQnwfD9oUf2RueZ9ipmXaD8p5nDHto4WqcrPIt2xvhCtxyIW7G5RPjotRv2LDuNmygxDNNbTDsj6znJ2zZLDuwuKTTUiKkCRnPGACgvZ1X8hPtRmjlytVjBkDMfIZ54jJSNg1xl564SdeZpz0XQo7jOI7jOE5TsRZZTkNcUf33jwA8A8BPAzB+tnMWi/dYx3Ecx3Ecx2kRmHmYiP4SQC+APwXwTwBexszJ3PEuA83y5tZsr3G+EHIcx3Ecx3GcFoGI/gXALDP/XPU4AvAFAC9a0Yq1Ie2xEKII1HFCr21tzaqYBdA64MiIE2HF0IGwfSAYsWoseyBpU2LksWISyXg8lj1QtF7rXUv7D4blGNrWlLWNLXWyRkwdyx5Ixf4w7sW0uRI2QVaeuUt2qLT0pIiXMm7YAwgdMmDEYrBicRjIerEhI6/8IVFxlawpoFjT7ea0nBylTl1gajZs25RhkjbXG55X0OYZWHu3Ths7U9pC6X5aNqTbXcLMpajNCeyYNmJY9D+k+83xp+k+WMqH/c2Kt5Qy4jJ1hcMCU5sMPTIbtlobwuPIMGm4cfe5Ku2KrY8Fx/ddeb7Ks543q7TUvbvDKhnjMDJicUQi1kd0po4VFhlxi2DI6k9FHAFz3Sf6RrFL2xikZ8KHW8rpdp3aaKQNCVsIY6z17NPtcezJYcfsPmjEWTGm5rSwgyt26zk2Pxw+8FLeiH+U4KfMeLN+z5QzulLp2bBOM4NG+xYMe0pRhdk1up5TuruBbgnfIR2GCUVuVLsMzx8PjQ/5kJ5zo6NGo4t514rdUzpilNVh2BstJAZWOgX0h89A2rmgoG2v0KFtwoI4WgBguVQ3YmApexzDPifqNcqS72vL9lnGnwJAMkaTYQ9txdxDMezzMhYPANOGWMXxseL57dwW1vGYEQvRiPlVHArtjSxbVDN2lrCxpKPapjge0fOi/D6wvpnKlt22OC8W32MJOMLM754/YOaPE5HRCZtHs2yEmnWdedoyjpDjOI7jOI7TZDyO45JQuwiqSfvnlahLu9MeO0KO4ziO4ziO0wYQ0ThOeIl7IpmZe4jo+8z8zGbXyb3GtTKpSG8Hy18lBgx3v2JLv7xVawFShw0JiSA+qDUlkbGNLuV5pnTMkFZIGRoZZcfDepvXcgeuM+k6lPYfOOX1ASBluMO03HpLTBfb6VC6UXrSNpUlNaO31kudYVnZbUM6z0YtL8j88P7gOJ7WugraaciJxkN3r/Fh7aYUAGB43j4VXHP7xW365OiIlr+UhVyuuNnQac0aG775sB1LeV327Pqw7MwOQx56l25X6Zaaje5XNpQ8EkvOZt3LnOiCluQpzur+XVgXtkFmxHA9b8zDxZ5Q5tW7S19w7Lgemz8cDX1/ZzbqsufW6obp3Bi6SyZD2oopbTcbbQrHARvudMvGfLFgovB5lq227g3bNjaGv9XWsp9YrspzY/WDrE9s1nk6jmu39xTXL6vQb8iBxXydHdfz1NQmcTNSpgQgP6zPi9Nh/yp1GK6LjU4v23P0XH298qAxX0yFAzYqGpLYvE6L14uBb0hUo0M6REFpm3AHbvSDtCEPix8/oDMuhIgQd4ZStMKOUDecOxTO9QBQ6tNjlETTWm7XU7ERZkF8r0yfr12jd+w33GeLbxbpShoAYsNdN5XCOnDGkNcfN97fXeHA47zlXlrccweUtXvcq+WMLPp3eWgAMxvDfNZ7X0rhJrfoOq29S8vkZ7eEL4yOMeMZP2WrSksJCX5sSGIzh3TbcWfYX6xvQgDALjuZmfVH64m/NX0R1M6s6EKoagz2ElS0kBdW0wYAfBrADgB7ALyWmRf21vatWcfR5E9m1OQ4zkJJYg/kOKcdDY4LuQg63SEi/WtsDcy891R/d5Kz0jtCHwbwQQAfrUl7N4AbmflaInp39fhdK1A3x3Ecx3Ecx2k2/+8UfyMAFzWrIvPE1vb9clzndJLGMfNNRLRDJL8cwFXV//8IgO/CF0KO4ziO4zjOaQAzP3ml63C6sNI7QhYbmPkgADDzQSLS4lkARHQNgGsAIJ/uDdxPltcZGlnLbbPQbKb2GTYfhltLTIXa0pHXXa6yrP3WoyqtfPS4uL7eCrbqqXTAhsY86tc2O9L1paUntlzypvrD9iPL1mit9sUcCbeSPGFonDdrA4lyf6hDHj5ft0vvHu1Gc3pDqA1Orx1Qefru1O5XWdrFGK7Vy/c+rNKkTZdp75SA2r6bWrMGpa4Tz7NvjbYDGZnV7Z8ZDtPyD+l+OnVGeF/5PVrjPmeokMuDYVuXj+nnkbW8r4rm33L5fpVndFaXFV0fnsiGuUb2uOGqWAyVjGHKVDC8vfY9EJY1dqnuW5236/bsOhhq2ie1nBxUNOw4esPy8/frxjtyiU4bTIWusTsOaEOZaMZw8/tY6KaVOo02t+Y1oyhJbd/NdK8J7ILKhgQ+FrdVMjzVdxzRaZ2HhTvrLsNexbgFywZJMrVRlyXdzyf54TM/om0/yjldqZIYdumCLty6Pzlfp+b0vG/dSySm9K5ztbK8WNLjaWY6fDgzZ+h5cX+v7qe5kXCQrbtDn0frdN9NzYQVTU/oDljcqCco2rVHpdWjtt9mO9dg4qyw3NRc+Cwndurr9jxc3wbWsiPilO705bx4V6YNW58O3ZlZ2DHHWcPt+phux1JfODijOcPmdrN2xT+5NTyv87CeK7P7tdtrlna/3XpclHNh3fNHdb2Hz9f9ZkaYcnceNsJLHNcvg5GnhvZmpc4tKk/3Lv2MZdtZ7rphfetMh/ab5cPGRHcKiOgnT/V3Zv6PBRW4BLSr++xWXAglgpmvA3AdAPTlh1ys7awaavtubttW77vOqqG273au977rrA5q+233gPfb5UQugpyG+Y1T/I0ANH0h1K604kLoMBENVXeDhgAsbBntOI7jOI7jOKsUZn7ZStdBUm5S6NFm2wi1YkDV6wG8sfr/bwTwpRWsi+M4juM4juM4bchKu8/+JCqOEQaJaB+A3wdwLYDPENHPA3gMwGvqlRPnUpg544TNitT7VjLpWy1uDn35dxzQfuWjcR2nA8K2aO3N2raI+424RSKWER1N6BVc2t6s1fZAbNj/0KjwpW/EHOEdm/T1yqFygCa03Qof1Bt1JOyGyLA/kvEbAODI5eFzyExp5cL4Dn1ex7FQ59x7p7F5aLSLdO/JRpyHlBG/gqXNVdnoZwuEMjGioRPtm4m0djvK63YsDYX5YiO+Q7orPI8Nm6bo2Ub8qUdCzX962tCvG7YYcTZs1323bFZ5sobMPi1k4EVDg91zuR5jw8fDfrNxvdaqb8rrPv/QzaFX0p4769t1ADpOUmSEYklP6d+Win2hVMSKr7Tta7ru0aiYjyz7wbQujIUNYfnYcZWHUouXr8TZ0E4qa4Rck/ZekWGHlJ7W431mMDxxUsv5Ue7Q53EmHJOREX8qq5taxaCy+ndK1L2c0/10aqORdnnYB1OPaZut7scMGzgxvWQn9HzTeVinjZ0R3kzxbm3PWTLaLj8e1j1/hW6oqUPaDrN7f1hWqdOy59PXyx0KG7TcqwddelSP39jquwuYijkFFPrCNuo6EhYg4wMBwNgF+r2bmQzH5NRGPR6joi5s5Enhcf6Y7jeDsWF0J9rRsi2a3GbEGRTVSs/qOk2v02Ol61DYLrMDemBMbNVm3F2HwskxY9gtRYXweoVBy75KJaEshk+xS7fBwRfqmIKyj1jPZfhibVQ6uTksP2fMc2sibTBa6g4rn//q6hc3Nc1rXJOuM89Ke417w0n+9LymVsRxHMdxHMdZFHIR5DitTivaCDmO4ziO4zjOaQ0RncPMD83/u5J1Oa29xhHROQD+HhXX1hcS0ZMBvIyZ37ustUsKAZw5sc1aykTIfvWWMIsht4mERGrqp6/UeQx/r6Nnhs3WeUTvy/c+rGV20jV26RwtHcoc0+eVu8Ot7nKnfmxTW/R2eOfBUHNkudqULkwBIDUtJFUdWjpEa/QWctwXXi8yJAzF/vrRo63tcEPZiE4hrYDhrYYPHNZphfA86tbPmPKGvOCIkGfx4qVxXIxQOnqiTQZ/XW+frzm8W58n+u6r7zuk8vSkZsOEK4CjpVDy98G7r9KVEkOl1MUg0U0s6YiU0MlzAADGeWWpiDDmwOkfDKq0PqHqG96gn9nBAf2Meg6GF5g4T1c0v193uML20HVs6riWiXTvNSSq+8Pxs+EHWlsRHTH0Fj2iXxquueODun9Tpr4PaWrQfbakVlK26c//q/51jXn4ob/V4QdoTrjW3azd02Z+bPh+F5KKSHv7RXpWp8WyOYx+Kvv8XC+peWlqm+5vXbfpOU/K7Cw39nNCiZWZMOZv415yQtE2s9FwLzyrn0NJDJ9UZEiGjfYsZ8Kyukd1ptk1uk+W1oQXTI/pm+Fdj6k0U9a5gE0IJi1PzX35FjtzHfb+0VOD4+59Os/Met3Wa+8On8mE4Yp/0pDZSRf1uVH9bEuGZFN+xkxu0XkKa3VZhf6wz1nv5oEHhHxubRqZSSFRNVyBFwyZXa07fgAY26nrVF4vfd0bYSHO0n0p91DYeDOT9eWogJbC9e7VnW1qs55P+z75Y1F4wyb5nwZwac2/zhKT9Ml8CMB7UJ1umPkuAK9frkotFrkIchxHL4KSYi5oHOc0x/pxJglyEeQ47YRcBCVFLoKcJ2Dx74pR5qgp/8XSaHOZSXq1TmYWy1v455HjOI7jOI7jLA++Qlxmkv6mdYyIzkJ1RUpErwZw8NSnOI7jOI7jOI6z2onbNI5Q0oXQ21CJynweEe0H8CiAn122Wi0QGptG7uu3nkgwdOjSpgLQWuOpDVozuvYe7Tq6b09YvuXpb2aToQufDbeMZ9ZpjWxujeHKNx92vun1ujP2PK436KY3huXHhqtNqwto15rahqZ7r7ZlSo2HutzygD7PskkavCu0nTp6WafK07/LsGUSrs0teyDqMFyQyjy9hkB/2nAZLmy8LHuHhZLfN41zf+O2J45LRX2fSa7zi336d4k37n12cPyR7TepPP/zWR9VaTs//svBcWZKX1/Z9QDoFFWQNg6AbVuUE7Y+Be3t13RZKt2s5x/UeWb79ViROvtoWo/7wjot7xi6IRwr/Xdol96FId2XcruF3ddk/b4FAJQSdZ/RunfTHki4jLfmvvKUrsNCye6fwpm/86MTCQ2Oh7te8jcq7cp/ekdwPMvdKg+focdKz4PhM4oM3YKVlioIm43t+l4s+xgJzRnvHpGUnjHcfhttJ+06MtpMCnPaVFN9Qqy7TecZP0OnSXfwY3dru7y1u3TdpRRqeoN+h+WGdaNHhbDPRyP6nRIbIQriuQQP4hSkj05h7XWntmez7JCsMVoYChtt/a16vhm+WJdf6A/Lt2xTJrbrNPkdOrtW9xs5nwLA5Dbh4rxPP490t7Z9yZ4Z6jgn9uhJfXpQVGowUvM8R4abf3EaGdEB1t2mG6YkbJZnjfdF/mb93i+JT7LOo/qCo2fpenYdFK7VDVfwAz/Q79+SmneNG3RagkQLIWbeDeCniKgLQMTME/XOcRzHcRzHcU4frB+7nEXhLbrMnHIhRES/fpJ0AAAzf2AZ6uQ4juM4juM4pztXiX9XjGa5tW41ady8m6lzAVwJ4Prq8UsBaJ2N4ziO4ziO4ziLhpnHa/91lp5TLoSY+Q8BgIi+AeCyeUkcEf0BgM8ue+0WgKWDT3BScDj4j/XjYACAVJ8O//xTVZ7UnKWlbmyVO7E1FNNaWvFSp9Ymcyq8nrb9AaY26PMKfSIejNm02v4nOxYajpQ6tc46N6p1yDJ20sbvaQ04Zwyf/5PCZqLXcA/NRuUzYbfnEW2AEk8ajawqsHjDQWYOtOdJ7Y5kvqu3XmbkCu/haug8F9xsVarOMYC8DneEOdH8ZMT2kDFOACArbAzKHbpds+OGjZ9Iyh/XuvdyVk9xFIdtlz9i2EB16LTh88Pj/v/QCuHM7r0qjUXMHjZsHKxYVohEnzfs3ahLn1faI+pg9dMliIGlK9PYdV69/ekqbTt+ZOQMOfzFnSptLBN2wjW3aBsqsuxFRVKp04jPIpq672HdR2QsLUC72S526TxFy7O9rJMRgq1Thw/D1KbweHqjvt5ZnzEGopgrd79aGyBZ9rDS1mN6ndEuM0bfENNuae/jOo+BOUcucXe27IEszvnFW+vm2fklnfbwv4bhYLKderKk+7RdXCkfPiMqG/ERjXm3c5+Ir7UnWVyf2Wxor5s1mqWkTXpVHYxwjCoG1uwmPeasfrP+/z0cHM9coo2p9v+ktlPr2h8eH3qKfjfMnantMOceCOfdrd/S83fpUSPeVVTfVnO1UW6SW+tmXWeepFfbBqD26c8B2LHktXEcx3Ecx3FWJdZC6lf7dwAAIABJREFUzHFamaRe4/4NwI+J6Iuo/E71CgDa3ZTjOI7jOI7jOG1Fs2x3Ws1GCADAzO8joq8BeFY16c3MfPvyVWvpsbbTl2qr8thT9U8gncbWc1QIpS5dh/T1J7YYUh6xHW1JJKisN/fSwiVsVNLX631My4kKfUKSY/RJy91nuUO4Ix/Scrbh83Va3+5wG9uS8HXu0TIk7gkbgmaN7my4HMZc+LwsV8KW+1Tp/jKpfKIe9fqhWRcpOWpQpveVR85Xafmj9SehsiGHkHCk3WxnDcVhbiRsx9y47lwzaw13tuJYuqQFtIttQI+nVEFlQWGNboPpjWFZI1ftUHnW/NgYnKOhtJtjfX/UY7iH7g4lGeV7DP/gFkn6giljS1b8iTIoLGc55Han4JwB7b78lrGwY45coO+z46Ahs5VDOTKkzeNhn5jeCHQdCPN0HtZtYLnGjsXrITVryMmMeZBF1S0Fiazn7JCepw4/TbtBnlkfHm+7YUblOfhM3b9ZSDhnNuvrbfhrS4N7emB9ewwMhhNhb06/p/YMaSlsejh8x0l5GWC7h8+IV5zVt6IEMruSEY3Cks5LF/HZcV22DK/QcZhUaIPjz9IytI7hM1Xa+PawD+74snbFvueloT6PU8Z3xj36Brf8xS3BcZwwxMVivy+J6Nswvr6Y+TlEdB0zX7OoCzhPkGghRETbABwD8MXaNGbWwkjHcRzYsYYcp12Qi6CkyEVQUuQiyHFaEStOVhLkIigpchHURrzzFH9bEY/N5aYFVG2ujVBSadxXcOL3wg4AZwB4EMAFy1Epx3Ecx3EcxzkdYWYjFPITf3ugmXVpd5JK4y6qPSaiywD80rLU6MQ1rgbwVwBSAP6Jma9dzus5juM4juM4zkpDROOoSOMYQAZADsAUM1s+JptC87zGtaCNkISZbyOiK5e6MvMQUQrA3wJ4PoB9AG4mouuZ+b5Gy1xO14U0qzuHJX+YXSf045E+jyx9r5C7WjZClrvuYqfoTEYnLuUNbavoFYVefb31d2i7qEJ/Whzr82YHjecg7BU6nqG1//k/Nm5a6HKtDXIy7HikTZCp701g/3NSV9cLNZWota0wbDcS1cW6ectmQ5S/4WOWHiHshFNDeppIFQz3wsLldNHyCK0l30Cq/qSXG9VtIN3Dl7O6nANX6XquvV30t2NW+xpjOh2Wf/RyfVZ6dr1K6/pK6Lc16tf2GfGgkXbrPUa9WogGXb8vFTc/vEOldewK7Q2tubJgzEF9D4V1z40lc0tM5bAs2ScBIDse9q9y1pj3DZu7KeH2uvugrrc1LoafLMrP6TzRi3TIgPef+5Xg+EP/9gKVJ39cN+j4GeHxOW+/ReVJ8vZN2n9ayQ1xo33+p7fdFRx/7EH9OZUdMFw558MPi/wxrT+2JMll4U06rc2/zLk5Mx2+Q9KGLZv1bTy5JczX/3D9d9HxC/QAGxjUtsEHnjUQHD/y+r9Xec668c26nmIcdu3RL83NH9Bu++ME/W05+iQzB19eRPRiADrWgLNoktoI/XrNYQTgMgBHl6VGFZ4C4BFm3l29/qcAvBxAwwshxzntWYK4R47jVJCLIMdx9CLIWRqY+atE9CcAfmel6tAs251WtRGq3YoroWIz9Pmlr84TbAZQG11tH4CfqM1ARNcAuAYA8kjgwspxWgTvu85qxfuusxrxfuusNojoVTWHKQCXA9Aubp1Fk3QhdB8zf7Y2gYheA+CzJ8m/WKyfFIKf35j5OgDXAUAvDfhPc86qwfuus1rxvuusRrzfOquQ/1bz/yUAe1BRRjlLTNKF0HugFz1W2lKxD8DWmuMtABp0Vrr08DMvDhMyRqwSw9an80C43ZcxYqqkpy0bGnFo+Puvv3QEJjfrTEUdvkTHCDLKntiqjaBGREgaK8aBxfSWULubKupuOXqu/hWvU9h25G/VjlQafeOZ2u9mSMsajMXCJSM2jYg/lOrTxl7paX1eOR/eZ/d+3ZlLHbot8sPh85hep5+jjB0BADPFsJ6xMStlx/WTTM+GdS/06jqlpvVzlJKmzJS2oZjcpPXj+ePh8baP7VF5eNbo9N2hsVTx3C26Tt9bwrBsSxRjqi5EYR9LYJNmYpwn+27xGRepPGzMg3N94bPtPGDY+pSMPiG6uIzBBmgbOMseqPOYHivSJqic0+fNDhj3siY8HuvQefqfNqzS+KHB4Dh7IKvyjB9Zq9L+9w9/Ljje1qXtiN7zzo+ptA+dt1OlNUIr2f4kRdbZem9MvEbb//xs/58Hxz9at0PleXxMG9kWRkKbztl1uk79DxnfI3FYL8uG2YozOCfm1IIxf1vfENmx8Hhiq54HpraJcT+j84zsWqPS4t5wjE3GxpxrdKW+rWGl1r/9oSSnLRkLtSlm5rcsX20ao1lODOJWcpZARC8C8GIAm4nor2v+1AtpUb203AxgJxGdAWA/gNcD+JllvJ7jOI7jOI6zCOQiyGkMIvp9K52Z/5CIfomZ/7HZdWpX6u0IHQBwC4CXAbi1Jn0CwDuWq1LMXCKitwO4ARVt5L8w873LdT3HcRzHcRzHaRG0y7wT+pwp42/LTrMCqjbrOvOcciHEzHcCuJOIPs7My7kDZF37qwC+2uj5chvS2naX8gsgoavi798ZHO/8PnDofz01SJvepK8306fLzh8IH0F2XG8J5o+HZeUMOVNmSqcV+sL7Sxs7yJbLYekOc3KbPq/YbchCQi/BKBlb5sU+3S4D20IJxrOGdqk8Nw4+RaX1fzR000pdWj4Xzxh+QgXJJRnh82u2u+CFIvty6fhxJVXK3WbIktLGtNATPkzu1D5aS/2ha93cSBGFgVCWkypabqn15WR0cjKeUWaipI6nN4bX6zikr9fzeOgnNv+4lgAN7TH6xKR49xju78vn6MGSPjoeHC+pDM6iWd4BmQNZG6W13ibJfGoWLZ535r+0w9DBsy5VaWM7w/Omh/RztORyJNRjsVHt7LgeK3FGvGeMOWHOmCsj8Ta13HwXe2JxDHQ9Hj7bqRu0u3Zj2sWcUFl1X6wldSOHwvAkD7y9C2d/LGyID51/rlF6WM9VIXGrJ0FucAxZ997z2ZtV2i9d8/rg+MUb9O+8n5y+QqVNCPlYdlxlMd/p0vV7qqDPs0JwSIlox1GdZ2Kb/o6aE5FurOt1Pq7bePIs4eL6UZ2nsDZMu/yj78BlP/lgmGlUy0E3vDn8bpPhN4Dl7bsLLZuZPyDT5h0oMLPWqDoNU08a9xlmfi2A24lIPUVmfvKy1WwRNPqB2uhLWy6CkiIXQY6zrDT6gdxjfVrVRy6CkiIXQUmRiyDHWU7kIigpchGUFLkISopcBCVFLoIcJwlyEZQUuQhKiloEtQlE9EoAb0LotfmKqlrqw8z8kWbXKW5SQNWWshEC8GvVf1+y3BVxHMdxHMdxHAd/AuCXAczv+zGATwB4Jyq2884SUU8ad7D6v29l5nfV/o2I/g+Ad+mzHMdxHMdxHMdpkGlm/m5tAhHNMPOtJ8m/7DTLdqdVA6o+H3rR8yIjbWUQblwTS9wSuCq2ZHZS67nxL/9L5dn3uSeptNR9ofviwnpdT44MuyUK67DmEcOuo6jlRPnjoQZjxnBn3DGs61DoCzthVDTcvWrvq4jmRIKhcIoKuqzJ6dDe5Prva2102rpeJryfeNYQIhuoZ2pJxhp0Y93SGPdUHh5RaaluIYWbK6o8ZPlMFTZC1u52937ZSYA4Hba/dZ7l2jWaC/tuzx4da65rv362mUePhNcb1zap8bQuS7nKNWwMU1P6vMKlZ4V5dj2q8iwpTXKfTUncZwuivLYts5BzOM/pfrPuU3eptNHfC91slzt1naKSfm5yrpI2FQAgxeGpOVb55roNuzFhs5Eu6Dplxyw376IsY1xkrPCKop6D9+q2o+91qbTspnA+fcXff13luf7JG40LirITStNb2pYo6fyfYGyZ9/m8MBrIY7cOqCyRtkbAC59+R3B8425ts5W/UT/bSHwfzKzTz6h7n2EjJGTKqRn9vdDzmErCsYvFGNNdEAVxy6l+nYnT2nhOhve49wu6Dbqfpe0+k7g6bzGenjDNWST1bIR+BcBbAZxJRLVvnR4A/7mcFXMcx3GcVsVaLDnO6Y5aBDmN8lUislZrzyGi65j5mmZXqFlxhMpmYMzlo96O0CcAfA3A+wG8uyZ9gpm12xnHcRzHcRzHcRbDO0/xN+VRzmmcejZCYwDGALwBAIhoPYA8gG4i6mZmY1PUcRzHcRzHcZxGYObbiOjJAMaZeY/42wMrUadm2e5wK9oIEdFLUVmBbgJwBMB2APcDuGD5qrYAmENNuaXvNbS8WuOv9a+WHQCJJEsDvOXVOu7F478XutnOjOqyrbgAXYfD8qUNz8nOm14flp+z4mCkDW26yMbGTnexR99zx6GwrMIafV55raEnEVr4/JZJlWX7Wx5XaSzj3RS0jVCSWFFJbcpWgaZ4wURZ7XK6PBm2f5TLqzzUbejQC6FNWlTScWXilGULEfal7Lh+jpyub9dBJd2/U0YahL2J9fxTGzeotHgk1J1bdkSU0+2Z+s6K2bZWWCZ7N5bzrjXHynhuxWS+o6P+0J5Stn2lcN2Xzv7dMEbTnt++zChcJ5XFYysYY13Ow1b8K8uWTdrx5EZ0f+s4rOfFsbNCe6oJI55b1wEjTpIoK3dAvxxoSo+xXW8IYxJdf5GOUWQqVpLYoBl9sOEwF61kW5RkbCVon3su1/d09BPaDvM/ps8OjuPHdOw8y3yz1Bm2dedhXW8rNiCNCxshXTQi0Z3X31bG8Hlhzrk+o07dYR3iaT2g0kbY0JyYCqYNs7Wtr6i/TmipfmRARP8K4BJUNh7+L4BPAfgTZn7rytas/Ui67HovgKcCeIiZzwDwPLiNkOM4juM4jlNFLoKchnkKgMsAXA7gF5l5FID2JOUsmqRe44rMfJyIIiKKmPk7VffZjuM4juM4juMsHbsBrGfmw0SUJqIIgHaj10TKTQqo2iynDPMkXQiNElE3gJsAfJyIjgBoMD52E0joLjZOINPgWOeRbpvNLX7jQZa0wgicCbdnM5NWWeEhlaEkCtMb9K8wuVHDdaxwo1nO6evJyOdrHmRV9+OX6G3lmU06jeZE+XOGe1nhMnymkMLGDWNB2vTntM4uf7UhlxPb3dbzS0I7yuAALRWMDbfEkrgwqyV0XXo+Th0L3VB3HZtAaX2oiYiKhgyR60sUpHwOAKLxGaOyos+X9PPnmdmw7ChCPBOWVT50WJ9nSSjlXFPSedLbt6q00l7dd1cjteONIksmFPY3qw0pqyWULNyQW+fFk1o3I91z9+zV/Ua6swaAvkfDfmJJODOTug6lrvD+IsM1dqkz7CPFrghd+8L7K/Zqt+KpQlj3/oeBzFRYfvde3Qal7nCsFge7kT0UyuPmtml3zemuUFK362MX4VeefFOQ9o2LjTgGTcacm1s52oElC0zVHxfxUf3BcNmVoeTrnv/QYTosyWb+uJR1Wv1bj5XUnDgvZ4QjGA/HzoYflzDXH1ZiZKdhYlASZY3qsnNjuk5K5ndIy+P2fuZCdd72196j0lqcAoA7iehrADYCuBHA51a2Su1J0oXQywHMAngHgP8OoA/AHy1XpU4X5CIoMQ1+o8tFUFKsBVwS1CIoIXIRlJRW1/yuNJa9VBIsO6IkyEXQsiMXQUlPmzEWVEloMD5PuyyCTnfkIigpchGUFLkISopcBCVFLoIcJwlyEbTcWDZCbcL11f+Aivfm+5h5RVdzcZPcWjfrOvMk6rHMXPuz00eWqS6O4ziO4ziOc1rDzB9d6TqcLtQLqDoBJcyq/AkAM3Ov8TfHcRzHcRzHcRqAiL6NU+h/mPk5TawOgObZCMVNus489eII9TSrIoumnhvLBl18mkh9bwI7CwBIh6YJmFmrdcGFNfqRzPUITewRQ8s7q9PiTHieZQ9k6eWlxnhiu8qCvgf1eaMXhPfTdUC3+VxJ398HX/evwfHnj1+p8pzReVSlfTsOu6elHbfkcsqlr5EnyXmrDS6XG5LHme2z/5DOuHVTcJge1RIgThsulqXd0JQhVTNskpS7dOM8Nlyqy/Fruli3nr+oe9SlXdciZcwzCV1GNxVrPmxAWRqMCaNM2Y6U0eOf8to+hoRr/MiwIyqPaAkt5cKybHftKgnpaeFS3xjrUTF8P2RHY5TzYd9JzehnnRFmPKq/A0hP6/NyY2F7Zke1i+1Sl2FfJepe7tNjp/9P9qm0/Jd2BscfLOjvrHP4DpWmnnvC92gSKfNqn3NPhrp3Y+z0PajTbh4KfainjSnICqUhXVzLbwpA2wMByb4hZL/MH5vD0UvDPmfVqfSU0KaU79efm6UO4zvj/LB/paaMeWe3Du/QKEm+F5aJUwVUdZaQ5oo5HcdZMRq1EXIcRyMXQY7jQC2CnMZg5ttWug6ScpMCnTbrOvM092pViOg1RHQvEcVEdIX423uI6BEiepCIXrgS9XMcx3Ecx3GclYCIdhPRozX/7SaiR6t/+/JK16+dWKkdoXsAvBLAP9YmEtGTALwewAUANgH4FhGdw8yGmMFxHMdxHMdx2o5TBU/9mabVooa4SfF9mnWdeVZkIcTM9wMAkbrZlwP4FDMXADxKRI+gEl33h82t4amRNkFJ7Ul2fP54cPzQL+jYOJZpHAnJ9VxfMt17JCTlJUNPXOzWaVLPWxrSdhajA1oW0rkuFMMXh7X75MHLdHyWfzgQatGftma3Pi89odJmX/bc4Dh//c0qj8XprE2XmPYxIqaFGftl/aAuTMR+QUbbL1DJsOPqCN1z04zR9rOGrU8pQT0tO54o3Agvj+u+lerWGvOyiFsTy/sFgMlJXQdhtxJ1aOlIwy68GyWpPWS9YmrbnBLMg3rOB8pGXfLhqyk+PqyypNbo+SUeD9t/3Y9HVZ7ZIf1s05PhZMlGPeOssBGbM+K0lQz7TRHvyrIRiqa1nWnnbNhvLPu61GF9f8Vt4dg8/BPa9mLkQ3ri7xLxvNIFbbvFV+r4LHRzfY++jdpVtG1IBDn+DBuhoa8dUGn3XxnGcerUUxfK+rGpsIbWd6a0BwKAQl9Yr65D2pZtYlsYXyN/nDE1FJZlubieGw7nwZzxqKc267QOYXvMxlfs9BZjbF4WxlyKb7tPn2iwgn3wzwH8LTPfOp9ARL8E4B+ZuTGf+I7JikjjTsFmALVBNvZV0xREdA0R3UJEtxRhfCQ5TovifddZrXjfdVYj3m+bh1wEOQ3zAgAfJqI31aT98grVBUDFdqcZ/zU7jtCyLYSI6FtEdI/x38tPdZqRZi7Hmfk6Zr6Cma/IwPgJxHFaFO+7zmrF+66zGvF+66xCjgB4JoBXEdHfEVEaDfn2dOqxbNI4Zv6pBk7bB2BrzfEWAHp/2HEcx3Ecx3HaFGYeA/BSIvp9ADcC6F/hKrUlreY++3oAnyCiD6DiLGEngB8vuJQkMYMApdNNGk9ExcYwzouM2BjYF9rHdGzXzT9b1DFqc8P1twmLa3VaRuiH46zOI2MGAcD4WWG7/MTOPSrP7fu1YvElZ9wbHP/7PU9XeW648BMq7UX3viE4nu3TtiV/v+vZKm3m7LDdNzVq12PGVDHsFhqMl9EqWDY0yU602sJoa2kTZOVJ67FCR4T9R2Q8D8NmB8KmgWdmVZZ4Qovo1Zg27q9snJdkXjFdlJeErj7h/CTLSvr8Un2h7YxlA2WyyN8aIyNGkKqzYQ/EZS1VknGEKKsnL7LiFsnr3fOgypMauESloRzefGTEfkpNirI5WYNxXtTdGBc0rdsgmhJpCeNRZQ6EdkM9g7rtOg9om7TZ9aGtR3Zc17PYp8tSKWb/NvqufP+m9bxvjc12tBuy5o3YiNUWHR8KjmfW67Jy2pxOxeORdscAUDRi9swJ87LxM/UYj/OyMEZ6XNjT6RBYoFT4HGW8LQCY2mHE3NoTtlVkKB1zR3V7zm4M7UVzVtxBa44V/dmyH7bmp9iya10YtzxRL+Y/JKKbAfzGYgtdDM0KdNpSAVWXCyJ6BYC/AbAOwFeI6A5mfiEz30tEnwFwH4ASgLe5xzjHcRzHcZzWRy6CnMZg5muIaBDAU1H5meq/mPl5K1yttmSlvMZ9EcAXT/K39wF4X3Nr5DiO4ziO4zgrDxFdBeDDAP4TFccJ9xHR+5j5GytVp3KTnBg06zrztJo0bmlIKlkSW57mlnsCiZQtqdPnnfHNULrTVTii8tx6ULs1ndkoXLuOGRKCbi2boEdDed7MFr0/LbenAeCCM/cHx69cd6vK05nW275f2xu6p9z89H26mlFepX3vonBN/A9jWnb3zCHtUvvr+XVhQlJJZAKG3/gUlfbj9/5DcHz11suW7HorRWRt6Qv38Kke7X4X0wncPVsysTntJpjXhm7kaVi7BIYh74pHwnyWrMEa01LC9f/Ze/M4Oa7y3P851dv07JuW0TraLHnFu8Fmt43NZjtsgQRwAsEXQnZuwL5AuJAfiUNCfjcQkhsHEkzCZhYHG7OEGIxxvEq25U3WYu3SaJkZzT7T09117h8aWXPO+466pjXT3dPzfD8ffaQ6OlV1qurUqTpdz/O+/vFOhS+JUOWvEbARJU6RpHBKnzdJd3yIbVgr6uSf3xGpDdMhVI7LP2faMQVpOSbk+93osKp0aEQJX+6N18FZG+T+cnJsNt54bbRzn1dk0km3LwVD8r4wGfe8WEVCqMrscr6sUGmTIgeFdz7H65U+sliGcE/1uvfB0HJ5XdKHlf15qGHsNTlR3N1+sEiG5D943QpRtvBLDxdsQ8UTQW515H3K8yXm9e9x5bwqryzj3muFJpPX5Gsx7zEfV4b9nCdjChNAvtZtRKpH9sHmx+V7jEjnoXT5jJd1xN8XANiEcq/6IcS1tCcR7BHaeuOvlGHl977Hve/XvGezqFOAzwG40lr7gjHmcQDX4rhPqGwToWqlOidChBBCyCziT4IIIfrEJApaTsN5Tspa+8LEv421dtQYo0xhS0epvDu2xB4hijkJIYQQQgipHKwx5sSn24Qx5qMAXjjVCqQ4+JMWIYQQQgghlcMncDyFzHYAD+F4gMbfLmeDSucRKi3zeyI0Q+GPNY+BpnvfM9zqLCcDebmblvWLsoF+N+yjaZRi3qWLj4my+1/3H87yFU+9RdR57eJtomxNjetdOphtEXXe0PqUKDu/YZ+z/JMjZ4s6UfiNBulf2FqzW5RtevVyt+Cvitqdiu8HmpNECPet6flj9a5GQfNiaJ+STYOnbdD8QIqnwXh+I5tVvGyKF0bzpPioPp4I4XeDlLx/jbctcbwA7OCQXK/ZDYlvxuXxhV0yVG4U4q3y3gyH3es1+CrpEap7vqjdTRu/fwW18nqEWp/wfDRBba2oE45Kw4Lfd/P1cn/xfiXMetr1KwQjim/Mu27adcwtlOkP4kc8v9Ow4m3SQu364eg1H5Hi8fNp2KOcX2VTA6vcPh8qFj8/xDYASLdRNALPG2gbZYj87Gvl8xBfKnKHlYwyvmmhsYNRz9esDMTjsgsi4Q1Lmgwt2yn7SWq7e71T8jUDodfOYDBA3OviRvEf+e3UPErag8YP1x2MyZfzYJEcG4YXu/0rqsNT+ByV58fB98v797Jl7vtQd8T9vbgfa39ojEkZY14C4O8BPG+tPe2Y3EQyvydChBBCCCFkRvAnQaQ4jDHXAPgnALsnilYbY26y1v6kXG1iHiFCCCGEEELIbPN/ALzGWrsLAIwxqwHcA6BsE6FqhRMhQgghhBBCKoejJyZBAGCt3WmMOVrOBuVL9UWoxHHcOBEqBj9XhaLTHrn6XFG2f58rgk2lpSg2Mypj69c3uNrd0TFZJ64kD3j7zquc5euWSV9PQ6Do5T1D3O6xNlHnJ0fOEmX1CVdXf8OiJ0Wdmw+/RJTdusiNrz9opffjkpRUotdc62pwtRwAGj/e/VikeoWYcn/R0sTMPhE8cJpHyPdeBPVFxjXNK/tf1iHLPM+ESSk+EiW3kH/fqfmAtOOLkDcoqJd+BXhen7BZ1jFNssx6/ST/9NaC+wdk/wrS8h7w8+0AQLBhtbOcrVMMrjPkj5z2NnPRbg6jeCzF7jKKXN7rO74/5/jGldwrCe9ejpjrySd+oEeUjXe6+c6SW/aJOlqboOSiE2jnwNtWbEQey8A6pZ96Tcg2yDa1fFWOnb5jQhsXg7OkT21sodsGo+Rpuv1C6dX8X7hMlM05/HeIjkWiSstWef2HlrgviAmZXg2qn907tWmlawU5ec/53qLBlfIaxTLuDrP1QMx7rYgp/p+kZ/8alacANikbumZDl7P8wsEFok7+oPQUtn7FzT+l5W7S2PsJt79l2mSbamLSG/rqFnec/y4WR9rfJB4wxnwDwDcnlt8N4AljzKsAwFr7y+lukOhwIkQIIYQQQk4bfxJEiuZEltYPTCpbBeAjOD7d5URohuBEiBBCCCGEkArBWntdudvg46uF5vp+TsCJUCGUsJZRwinWPyeDJTZsdL/9DnVKCZCNy235H101Sd2hfhkzcyDjfuo+OCTrvHThblHmc98BKWv43XX3i7IPNHWJMp+7E0o4VI/3r3pNwTrH8T5RK9dqNtGu+1zDDzcMAKEXyjccHkHQ6NbT5C92wNVpmMYGUcd098r1Frph5XHgiKgDTcYQ4fxr18hve2yRjFNrm5S2j7rnxYxLyVH4fOF8d0FCDrtqKHCvP2vhumPNTXK9Y+51yNZJaasq6yyBpFNNNaCEKrd+OGk/lDSg3+++9G5oWNYJlDE95V0TLVS1FuI6wraT271xMR6XsjdNBueH507KczB+5nJRFqbcaxsf1OISS5q/9kjBOpHkx5pEMislqvFht13jrfJ5+IldNyg7KPycqXi8vptdJsPg13bJeyWMedLPUXmuw6QmhXUXs3lZJ6HcKtlat16yv/C2ASDtOVlGFEV09lIpJ3v+in9zllf96HdEnZ2Pu31+7c0b5cYVjCdjJdwnAAAgAElEQVSltrlo98Wa1+xylp/vkhq+bFbeF3/5izc7y+swM5J8MvNwIkQIOSX+JIgQchpE8f4QMkfxJ0FR8SdBpPIoVbCEUu3nBKXdGyGEEEIIIYRUAPwiRAghhBBCCJmS0A8tOUtoyuTZpCwTIWPMXwN4M4BxAC8A+G1rbd/E/90C4P0A8gD+wFr703K08UU0vbNJFKxjD0mfw5JfuBrVnW+TuuBsk9IDfH3vbilVyjdIDfZY1gsh2SBNAA+jU5S1p12x8Fnth0UdzQ/0ySPnOMt/vvAZUefNtTLt9LUrLhZlkfB01loo6KghMqNw7fILvZIKl7hE8Ez5obIBeR6t4rMwba2ybKkbHtQelP3G12kDQP65Hc5yfIkMMxoOyjixUTxa2vU3tdL/I+oMK+nRvZDO+We2RdqfbKfsp4ESLtr3Y6ghxBXZYm7dMmd5wT8+LOpUvLvNfxIqcrJYp/TH+PXCA4dElUAJ4W6GvPtA8yT5/h9lvFHDWfso94AaPtvDNstrndwrPXeD57v3z9BSeSzNt0s/UJSxUvNViDDvTdKLajLS7zLu+dt6zpSvIx2vrQI/kIb3zmAekKkm4s3Noixds85ZHmuNljIiMeLuzypeNq0P+uvFx+R6ftTtMA7kPbtXZpnsN+vaZN/1ufq850TZnsu8e1Xzramh/L16ET3Fz77gjqdrOpUxxSgj6rsORto+KT/lksb9DMA51trzAGwDcAsAGGPOAvBOAGcDuBbAPxhjot3phBBCCCGkbPiTIFI95BGU7E8pKctEyFr7n9a+mDXzYQAnptzXA/iWtTYzkVF3B4BLy9FGQgghhBBCSPVSCR6h9wH49sS/l+L4xOgE+yfKCCGEEEIIIWWgVB6hUu3nBLM2ETLG/BcAKfYHPm6t/cFEnY/jePaKr59YTamvytmNMTcBuAkAalCrVZk2am4URQfu66RNXGqwVb/KHlcz2rxdaoCPXCW1tEG3+605TMpTEozKj3thwqs3KC93F2QbemrrnGWj6F/fZV8rys5umBlNbDSfhVJvtvMI+dtXdcgRNjMLfVc99gjts4rNIYrm347K9OG2z80R5ecjAgATKN4bj/wh6S3S8K9/kE7LOq2yf8P3K2SVfBI1So6vhDc+aN7AUF4HkTdIGWeCBTLXT97zt2j3RW6N/J3o0GVun1r8kKhSNKfbd7WxMgpW8d4YpQ/mDrrnTPNe2WPSa2UavT6u9Ql/WyPSX4e48kj18gFZxZdnNE+S15/NgJYTSfal+p0DbpM6ooW/F2Os0r+1Z2TM87Lkeo+JOnElB1aqx71+3/z9L4g6f/L5K9S2TpdZGXNnEi1fYZ1sZ/qJ3c5ycPYKUSdfK69R6BXFx+TzdLRNtqGm1+0DiWFlzPP8RrFxIMi6208+LPv3wa1u21c/f5Oog1rpaz4j9pTXANkm7Vkg8nAp44fWvxOH3PVeyEqPYUdnjyhriJBvklQGszYRstZedar/N8bcCOBNAK609kVn7H4Akx2wywCob9fW2tsA3AYAjaaVPYzMGdh3yVyFfZfMRdhvS4c/CSLVQ1giN42dDx4hY8y1AD4G4Dpr7eSfiO8C8E5jTMoYswrAOgCPlqONhBBCCCGEkOqlXB6hvweQAvAzczxk48PW2g9aa581xtwB4Dkcl8x92FpNvDM7aHI2DV/eoYUUVcm7n3Bbn5DhI49cLqU8+Xq3XanD8rLlU5p0zF2OD8l5bz4jy8ab3bLGp+Vn7afq1ouyrle7YYkTgfys/bHWHaJsNvnc1vtE2SVPvNdZvnrpVlGnIynlM8VK4UpC1LZ5nULItiBDXNvRMSH5sSNS4hZm5fWO1qTCemBNsuCjyli75T0W1LvSTzuuhARWymyLJ++JKEcUkohQOU9aGyJIK+JH+kVZu3K/VgraWKmVBSlXhhaskhIgDAzJ9S48y932k1uURihjpSeNs411ss6oJ6lM18htRUiAofZ2LXz2oHd8zVKiipzsS2F6hq6/0r+jyHvirTItBDSZbN7d1q994yOizirI0O/qeFHBQ3MUtHFYkwjHvLQFyW4pl8y2SFlYtsl7Z9EaoRTm0m4fyNbJc58ckiumet1+aRNyvXjGHdPrDgUY6HTrZTfIsOsCE8iUD+NyPV+Sqsl0j731XFHWsNddHjTyWo1vXCT3F+5Sm0sqj7JMhKy1a0/xf58F8NkSNoeQ+UGxHirN90DIfKfUWf8ImQP4k6Co+JOgqET9AZucPvkSBTEo1X5OUK48QoQQQgghhBBSNvhTLyGEEEIIIWRKShc+O3pdY0wMwEYAB6y1bzLGtOJ4Sp5OALsBvMNaK0NZToIToSIQmvaIkiPj64D3yIB47Y+1irJMkxcmWLEk5VNaB3XLxhXpdrJPCcmbc9vZf5b81L3tjf8oys576Lec5ZUrZUjJnlAJAev7KozU7pqgsPciqJHd+WPnyOCF6e+7J/AvFj4l6ly7/ELZzhkKn102lPZqvh7jSw2ihuaOdD4Ke33U/SnyPD9EqhpiOaWkOfc8UEYLD55OirJcg1um3fWql0n0b8V7MSTvi9DTuceamkSd7FJ5U8fvfVxp2dzCP3b7wh5RR013sHSBW0dLbaB52Xz/gBY+2ycl+4j6BPfD9kZ8Xtg293rnG2Qo8NigDAGcT7nnZbxBnqdkhBQFqhdHa7tXL3e0W1SJr1klyoaXuz6sVf8rmh+oGsMQq/5KZTzNHXWfqdoLXHK0QZQFWbcsV6c8Y/PyvIq+o5z60GvE6MI4ct77yLFz5LG0PeltR7md1EeKVxjFP3p8Na9/K3Va/uNpUXbgd85zlrMtUorX+pXHIrWBzAp/CGALgBMP8psB3GutvdUYc/PE8sdOtQFK4wghhBBCyGnjT4JI9RDaoCR/rI34ccGYZQDeCODLk4qvB3D7xL9vB3BDoe1wIkQIIYQQQgipFFYbYzZO+qNk3MX/AfBRuHEjF1lruwBg4u+FhXZEaRwhhBBCCCFkSvJ68P/Z2s9Oa+07pqpjjHkTgCPW2k3GmFefzv44EZoJVL+E7DD5ITcvRHxJh6jTtnlQlPWd6ep7Y2OallfZX43nLVKiTBpFmuyvFxuRHw7P/tX7RNlN5/y3s3zLfW8Tdb76oU2yDb6OX9OFa9mqvfOu5Q7wc+IAgPmS+wPBtfdcrGxanizhUyo2HPVMUIxfSWlvoJwf3wMXNNaLOvneU3oPp9yfpu/3fQCaL8AEyrY8L5Pm9dHys9hWt16uSXov4n2joiy4z/XeqB4V7fi8elq41/ygvO/F9mPyHJhfPSHKytovCxHVb+av5vtsoJ//4IjXLztkfo/w8BHZBM8TpPU3aGURsLWul83k5PXPLZC+jniv6xszeXmesm21codeH6y/U/oXovhstDqBkqMo5+XqUj0bo9LLlP5BYV9FxfuBZtE3qvbvWvd624zyzFPGifhhL9/YIuk3HF4i+5Lv/9EYa1HGWK/pqV7Zpu5XuG1fdrc83tpPSf9uFLQxVuRli5jTbNmP3fEi93c7C25bbVOl9+W5xxUArjPGvAFADYBGY8y/AzhsjOmw1nYZYzoAyAHfo4KfmIQQQgghZK7gT4JI9RBaU5o/Eb48WWtvsdYus9Z2AngngJ9ba98N4C4AN05UuxHADwptixMhQgghhBBCyFznVgBXG2O2A7h6YvmUUBo3S6iyAk+GlOs6LOrEFflFU9wty7QoIYGVsMQjaU9ypHy1zypqooSn0omNyzaFQ3Wi7J/2Xe0sr/xltIzP4jN2rnCobHU7oRIKWlkvfY8XXliRM0QJ26qF9J4VosiJotSxoagXZqRkxe+ndmgYxgtVrYVy1qSJ4ZgMaV0Im88LWYgaBrsmdeplAGF9WpSNL3AlIKnDQ6KO6ekXZf65iyp1iBJuP0oIWJOIJg+rKAlGsTI9r++GirRKO/ZY2pM5RgytK+SLI1IaKeR54+NAgycbVWRJYaOUXuZq3W3Fh+W9M7ZM3mOxjCcHVUIeJ3Z5Up4Z7A9aiHpRR9mf9qyLQhTJEQDXKl1KZjOFgiYtHvcknIpk1B6W4ctNvfe8VrpE/T7ZB/tXu2Oq9g4R+I/dHJD3huK4kjUj0eU+Zw5fDKz5liuzjHR2lWswk2NgbpuUwhXDlGP8HMrCEUaM5na6RI0ad7K+vQ/AfRP/7gFw5XTW5xchQuYLRb6U+pOgqBQzCQKi54UgpKz4k6CI+JOgqPiTIEIqEX8SFBV/EkRIqeBEiBBCCCGEEDLvoDSOEEIIIYQQMiVRghjMzH5KCydCJSTMumJaVQKkaH5jOw86y+mOBaJOvFXKl4aXuNp0JaI3kooVIubJ8cfaC9cBAITuDmp+ooT21fDDYEfU94pwmNp6sxzOtCRoxxAlbGuRoYpD3+ujeH804p0r3V3tPyjqBJqPx5fQxZVhqU6R53nXO9shPRVhSl6zRJ+7v/GF0u8We2ab3F+RIcqjbMdqqidvWzkl7HNFh8oGir//IvRv7Zzle/vczSSUvqSE1kVbi7u8v0tpkxdqfmhY+tJqZT8NRr1w9AnF+6F4Q30pnB9OGwAyS6TJ0xxQ2l4Mqvei/P1tRvwfsxj2uigipuAIM25fivveHwDhkGLI8Ygfke8Z4bIWUdbg+YZGFivh0+u8NB05YNzrlnFpwxTeorw25haJ6p3U7vsZIkpaiNncPzk9OBEiZL5Q7oc9IdWEMqknZL7jT4JI9ZDXfk2fw/s5Qfl/3iGEEEIIIYSQElOWiZAx5s+NMU8ZY540xvynMWbJpP+7xRizwxiz1RhzTTnaRwghhBBCCDlOaIOS/Jlu+OzTpVzSuL+21n4SAIwxfwDgzwB80BhzFo5niD0bwBIA/2WMOcNaVUHvMlnzW2oJUFQvhlcv1iS/IYear6Kl2d3MsDToJLLyFDXudi9vtk62c7xBlg2tcJdbtkr9a6ZRfrpc8rmH3QLNUxPhXKlenCJzBUTR7ka+fpUkLSumLUX2UzXPUlxqxfP79jvLI9ddLOrUvzAgyoK9nqdB01IHsk+E7W744rEFUqoUH5bbyte690X8vieV/Wmf5r1cM1E9acX6ueYYM6rLL/Je83M2qR4h5VyHe9y+m3nF2aJO+oUet0DJNYS8cq94vg5A9tNsU1KUJY+543xYJ9dL/FzxYfo5kYq9BiXuk5FzBs0EpRzLi/YNyusmcrxpeZ02rJZNOOj5CzPS9xnvV7ZlXJ9xYljJEZVyr1t6VMrjrPJIX/G/H5aFEYjiDVb7fJTce0Xsf8o2VFI+N3JKyjIRstZOfhuqw8n0XtcD+Ja1NgNglzFmB4BLATxU4iYSQgghhJBpQI9Q9RKWyLtTqv2coGzBEowxnwXwXgD9AF4zUbwUwOSfCfZPlGnr3wTgJgCoQa1WhZCKhH2XzFXYd8lchP2WEDIVszYRMsb8F4DFyn993Fr7A2vtxwF83BhzC4DfA/ApQA1Srn5ftNbeBuA2AGg0rXZWpULFrBfhs2uu95j81K18Tg0HvdiTg0MIFi90yxKFQzsnhkPkat12xcfk/lLH3Msw2qbI4O6REr6cXxDxmshjlp+1tc/RkcJnR2tAcesViei7s7ajGQr3bIJI2/LlCOk7H0F86RKnbOiiZWK9+n4ltqofkUuRHMG6p65u9yDCGleyFyqhipP7j7kFK5cjt3O3W1asLGgm5URRrl+5++6k451RKUiRciJ/vXBUytdUCZ/X9vS2o6LO0HmLRFn9FlcuF9ZL+Vow5EqOEocHYdPuuB+MKRLOeik/Te50JU6a6G2uhumdTSlRwTG31OG0I8jBtevop+DQUhvEfRkcAHjvGYgr+1PeIbKN7itisl885WEDt05NHzC8yD2fS34m2yS3FI2i+8kMjc3zWfJWujxCVfJFyFp7VcSq3wBwD45PhPYDWD7p/5YBkG/cs0Wxg1+R6/mToMjr+ZOgiPiTIEIiUWT/9idBkSkyLLE/CYqKmAQREgF/EhQVfxIUFX8SREgl4k+CCKl0yhU1bt2kxesAPD/x77sAvNMYkzLGrAKwDsCjpW4fIYQQQggh5DihNSX7U0rK5RG61RizHkAIYA+ADwKAtfZZY8wdAJ7D8S+nH44UMY4QQgghhBBCpkG5osa99RT/91kAny1NQ2bRDxRh22FGhsHWthVrWeBuWpFW5GtlWSzjalkDJcS2UZoZG3e1wvXflh/louh7o2ppI4XDjBAGO2pYy2LqaJQ03OtsMUNhitU6zfWiLD6i7M/XvcflsBQ21xXcX6ZNSurS9z4tynJjXpjYiNrxSJ60Kg2NPSWTj1c7zmK9F7MoU45y3WxDWlQJxt31Rta0In1g0CkLlbHZL4sNyTDFNin9GbEH3L6bUzwjVTEGVQKz6Qkqwl8JYEbHjXxHm7McjCqhspXdJfrdcT5MKWkMEl747F6Lhm8+4pQV6wcipBSULWocIYQQMlfxJ0GEEIhJEKkewhIlOrUllsZV8U+VhBBCCCGEEKLDL0KEEEIIIYSQKWFC1blOsTmDom5rprajtCl38JCzHGs9Q9SJDSua30ekPyIKKS+sd2kzlehEzbPgo4UoD73cC6X2Fs0X8s/tEGUDL32pKEsdclORh1vkelHOtRZ0O1LfjejrmbE8VTM5FlUSpfZHzeK2w+e2i7LcGZe4u1c8l3jwSVnmtTNq9J+yjy7V7HebrbxBxZ6fGbz/c0e7ZeFaNy+9zcpXP/vYs6Is8NqlHV1DtfSJ02GmcvaRsjB/JkKEEEIIIYSQaVOtCVU5RSWEEEIIIYTMO/hFiBBCCCGEEDIlpfLu2BJ/EaqKidAZF63GzzZ+p9zNIAQAcDwncDTYd0mlYMz0Hj7su6RSmP6Y++1ZbA0h0ZlO3yWzQ1VMhAghhBBCCCGzQ7VGjaNHiBBCCCGEEDLv4BchQgghhBBCyJRU6xehqpgIbdq0qdsYs2disR2AEki/6uFxVw4ro1ac1Hcr8ThKxXw99ko77sj9FmDfBY+7kihmzAUq81hKAY+7cpjWuEtmnqqYCFlrF5z4tzFmo7X24nK2pxzwuOcmJ/ruXD+O02G+HvtcP+753nd53HMTvi/wuMvdjrlKtX4RokeIEEIIIYQQMu/gRIgQQgghhBAy76gKaZzHbeVuQJngcc9tquU4imG+Hnu1HHe1HMd04XHPfarpWKYDj5tMm7BEiU5tSfZyEmNtqXdJCCGEEEIImQsYYzZe+8s/uKgU+xo50If7f+Nr37HWvqMU+6vGL0KEEEIIIYSQGYLBEgghhBBCCCGkSuAXIUIIIYQQQsiU8IsQIYQQQgghhFQJ/CJECCGEEEIImRJ+ESKEEEIIIYSQKoFfhAghhBBCCCFTUqovNbZE+YpOwC9ChBBCCCGEkHlHVXwRam9vt52dneVuBiEAgE2bNnVbaxdEqcu+SyqF6fRbgH2XVA4cc8lcZbrjbjmxpfoiVGKPUFVMhDo7O7Fx48ZyN4MQAIAxZk/Uuuy7pFKYTr8F2HdJ5cAxl8xVpjvukpmH0jhCCCGEEELIvKMqvghtf3ofXt/5xy8uH/i1FaLOwAUZUbboZ0lneXC5/Bw3ttCKsrAmdJYXPCrnk81ffWjqBs8Ttn/pMlG27sOPyLKNKWd5499dKOo07RgRZQOra93lVdr1C0WZbcw5y41PJEUdzat35XvdtjfFR2WlabLt8V14XfI3XlyOrVwm6uRb6uWKfpeThwnECn9eDoblfZF/ZmvB9aqdIFUjysLMmLMcX7lc1MntPSA3Zr2LY5Tfn/w6Gsp6sfo6uamc279NWh4Lli4qvL8CbN+8F69f/LsvLvdevVbUGeh0+2DjbjmeDq6Q/dS4h4D6Lrle83MDoix8/Nkp2ztveNlL3OWHNosqPTddLsraNw85yyabF3XClHxlGFvo9q++NTFRR1O6hO6wj5at8h4YWC77/IXvfEZubBpsf/YAXn/mLU7Z/jcuLLhe4x7ZvrFmt32ZFrmeVW732sNuf26+ne8L2758iSg743ceE2Xhve64m//cYlEn2ac819Ju382lZT8dWpIQZcNLvf0rb80Ne2VZ6G2q5vrDstIcIyxREINS7ecE/CJECCGEEEIImXdUxRchQgghhBBCyOxQuoSqJdnNi/CLECGEEEIIIWTeURVfhMKaBMbWn9SJLnhyTNRp3Cu1n6Ot7ux25b/L4B35pW2izORcrbAZz4k6Ul09/9D8QBqNcfd6tTzTLysZ+UtE/X5XB9y0NRtpf/0bXM/NsQ2yTkJpws//xfU8tT4/PsUe7orUDgAwqSSC1atOFoRSh26s8vNIzi0z26VI2Sz1tNPH5EHZYem9ItIPpJHff1AWRvH6RKkTcb384GDh9UYVL1vvseLaMHnf9SkMvHz1i8uJEdm+1i3ucu1BeV5b7pHjbrjW9QGYvBxRgwNH5XpTtnYeoXiCfOoPymeWj8nI8TTeLceQes8WV79Zei/GV8rn6NELfG+R/F02pYzDhz+wRBZOg2x9HIdf6XqCmna6/csoP0nXdMvxvvG+fc5y5rxOUSc+KNfzvZl8X9D9QBpd/Y3O8oqDcgw0Y7Lvmsa0s5zcL5996d3ylbhuTbO7/5fJOrm0KELDPveqNnyw8D1X6ZQsrHWJw2fzixAhhBBCCCFk3lEVX4QIIYQQQgghs0PpPEL8IkQIIYQQQgghs0pVfBEKciGS3ZP0nopQPHlI5pyoD7x5YH2tqBPrHZYbG3V17pn1Mo594sKzZTt73Dbk9uwTdeYj3/vRFc7ymlyvqJNrliLcRLeb9wL+9QRUb1Fdl6vZzidkHqHuS2QnWrPe9YQc+7bMIzNtrIXJTGqP0t6gR/GBZFyNeZiReROwv8vdleKzMDGp5zdx10+nrVe0z6WKUM/LPCLIhUgfPdl3Y0OyD/pjnj92AoAWICi2L0LODaXv+vmftGtkc9G8hNVMzVF5HcSzLlB+lY0rrwxj3nW30guRPNAnylpqXd9Qz1nSxzuwShSh7amULJwOBrDeYeTS7rE2bZPPfTOieEK9HF2pnUcK1gGAseVNznKi4VxRJ3ZQeQ7uV/KUzTcedc9dmJbPx5ji2w4Oe75IpS9rftyaQ67HcvEj8l3k8KVyWwNr3T619oiSZAoAdunFlUipPEIl8yJNwC9ChBBCCCGEkHlHVXwRIoQQQgghhMwO1eoRqo6JUGhhxtxPoWbQ+7StSDKQc9dRczgpUiV4n0+Th4dElbGljaIs1uh+0h96xTJRp/HfH9JaUZDRGy4TZbGMK19K75PyQDNQWPqXO9odqQ3xBe0F1+v5wOWirPVZ78znpOwq3i+vnxl3ZS++3AEAjBKOOt7vShyatyuheZV4mDuzS53lj//J9+UOAXzgn9RinXwIDJ28BnZcke3k5Gd+m3XLwqyso4WA9aVCqjTOKzNJKVkxCVmW71di3UbBeB+mKbubE5hciMSRSbKUnCIVHHZlJVbpy9DkaxHqICFv+KCpwVtP9iVNLpfvk9KtKMSamwvWsePj3rK8x4uVn/oyVkBK/+JLlXDT3Zrc1pN+aW3Snof+c1S5xlr489pt7lWu3SKPVwu7feiyOtmGB2XRVMRHQizY5B5/rMd7hg/KZ7p67P44WKPI9oZkmObkEXc97fzYVvkOMXah+wyquetRub8IZK+5RJSlumWY/eCQJ8/LKn1XebeKEtY/1tQkyvxnSP7Ki0SdZf/lXbuuHrlx7Vr51gf/HREAQimSCkZd6Wf9ViUdgZH9tOds9zm67bekBB8A8N96MSkdVSmNE5MgQsi897QQMpNEmQQRMt+IlNtMW6/YH9IIOU2q44sQIYQQQgghZFbQcrvPyn5Ks5sXKdsXIWNMjTHmUWPMZmPMs8aYT0+UtxpjfmaM2T7x9xShNgghhBBCCCGkOMr5RSgD4LXW2iFjTALAA8aYHwN4C4B7rbW3GmNuBnAzgI+dcku5PEzPpNCIyrRVlQV5/hFVv65oTX1/hOmV3pt0n6Ix9rTirdulvhsrpG8ot9TVn2rej7p9hcN9qpLBcRkSNOx3jyeutMkOyW35WuHYOetFnbZn5HrxPV7IUSXcqI3J62Djnr9FmdaHtXJbQcbTOSvrNeyRuufWjW7bf3HpBrkiAOCBKcoVwjzCyXr0CL6eqAg/kBYOV/MheEZFO67o1zUvk+/1iQo9QXOTXB7oPemtUfup79HRvBCKj094OmOybxklXL4N3X7p+3OOF8p7LEh7nkBt3Pe8c+q2NbTnimiTPAfC/6Peq7JMSPa05+Hho3J/KdffYiPel8JTqI0DihdRhN1WzlP80S2irDV9TqR2TYXJ5hA75IVS9vqpNr5pfkrr+aqMFh5eSW0Q+GW10pMKxfdZ3+152Tpk6g67QP52bOPuNUnvUTxxyvuBHfb8TZpf1bsPgmQSQbPr/9F8RNa7/rFz5fM06JPnzryw3y2ok2lPUKecT//4lHQpqs/Ruw3CGun1SfXKsWDlt9w+tvX3O+S25xghShQ+u0T7OUHZvgjZ45x4A0xM/LEArgdw+0T57QBuKEPzCCGEEELINPAnQYRUOmX1CBljYgA2AVgL4EvW2keMMYustV0AYK3tMsYsnGLdmwDcBAA1QX2pmkzIaeP0XaNEQCKkQuG4S+YiTr+NNRSoTQjRYELVWcBam7fWng9gGYBLjTGRv3lba2+z1l5srb04GSifQQmpUJy+a04zSzohJYTjLpmLOP02xn5LCDlJRUSNs9b2GWPuA3AtgMPGmI6Jr0EdAI6cem0AYQg7osR2n4yi+RY6YE0TreqdPT3xmJLjJi5PrdDJarmNFGIDrt/IKB4aVYfuaeh9PTMwhc7d00KHR2Wc/tDXd0N6UILdB2SdUeU6LVzgLmvnRcllA0/3HKaU3Da18jpkO1xtcD4p+0bdAdnO/JZtznLvO5fLNk0Ta72cQBF1+VbxEimV3EXNaqT6erz8TNq+6OshYYhwsodACynk952o/UbkllJ8LkpOE4GSR1G3nDIAACAASURBVEgjig/PosjnhX8fRrl3IfMBRSXveTyh5EgSnigA8Hwrvmfo+IoRcuko+Z2QlL4Km3bLzCGZdy5Unhc1v3habn865EPYfjfEs+hLWv4pbVve+Yiai9D33hjNc6n44qSXSXl+9yrXu9H9euvnoZsK39+kred7p8J+GT5b68v+fRDs2CPqaO8Zgf/+o/XJRuVrtZeXScuhGDbLr4W2xu3P2QbFI3RIHnNu525nef3n9ft5l1pamZQuoWpJdvMi5Ywat8AY0zzx7zSAqwA8D+AuADdOVLsRwA/K00JCCCGEEEJItVLOL0IdAG6f8AkFAO6w1v7QGPMQgDuMMe8HsBfA28vYRkIIIYQQQuY1JcsjVOIvQmWbCFlrnwJwgVLeA+DKaW4seijTyfgyBiU8ptE+6Xuf67XQkFqoYiGJKFZepGVujiDJiEqx7bShJ1VTZA2aBMUOFpb+aaG/bYMbaMDWyXMwukjKO/Ip99rUdMvP/cGoEj51/VpnObd1h6gzbawtTgLjXW+9vxX3wbfYcN1kfmHDUA0N7BAhpLoa1t0nYp+csTE2yrZVlHaWWkYaYX+RpFFaSO+kIqnzpHFhmxKMIFe4TX5aCgCINckIZPn+/oLbOiU2FO8L4nxElT3O0FCppiOIch2VPhko0sT8Me+czaAEW31eFNHnw9FRRRKrbMezAZiElMHZhHyXCz2JG9LNoo5IyQHAeOkjUkeUdxFFlh9fu9pZzu3YKeqQyqAiPEKEEEIIIWSOU+zEv9g8dKRkMGocIYQQQgghhFQJnAgRQgghhBBC5h1VIY2zKKxlVT0UnrbVKJ/jIoVo1dqkeWG8NkZpU3QqwNdRZLjm/JDrEYopoce1cOQy5KjUr1tlqp8cdNsZH1OuVUz5NJt022BfISxux7n/u3q5hjEw8ZP64kh+CQDwz4cWJtjrS/T+kJnG6VPKvR0kvP5cpPxF67t+2N7jm/fCGc9ml5/DIeQ1X6LxUhRonh01pLPnq7BKuGjtspu898yur5V1QnmO402KB0lGXp4SkbJgJpnlkOpR+lxYjF+6Eoh47vzjC7RxYFjxbSe85OWab03pu0HGvVfMoPQ+m1AZaDzveLxjsawDAAf14kqE0jhCCCGEEEIIqRKq4osQIYQQQgghZHYoVUJVfhEihBBCCCGEkFlm3nwR0jS4Qk+u1VG2ZWpdLbNV8vpM9n1Mta05q+WdZfJ9faIs3rhMVgzcebyNy6uV7Fe0u161YFzJlzGuaMg9LXK8W+YTmC4mCBDUT9IuK5nETErmshL1AkVL3TfgrkKPUFnwx4Ki8kZVKI5PpxLD30ZtUxTPxhz2BEUhHBlxlo0yppgWJa9PvZv3LV+rvFYEit/IO8WJHmUcVjwbOE1/j0GEZ7/Sb6L4N7Xcbaq/LaoXlBQkd7BLlMVXLhdlwYCX/zEl+2nQp7yTDXvrefcJAEDJA2V9f1ups4TOAtWaULUCn1yEEEIIIYQQMrvMmy9ChBBCCCGEkOlTsqhxqhZr9qiOiZC1hWULyqfuKCErw1EZhtHfkhbGNczI9UQbKkFqESG054wSJUSmUscOKTK0OleimKtT5IjKNU72u5+/zZgitdBkIZpc7nSJx2DaWk4uj2VkHU0a55OTbQu8MLMBgNzRnsLbiiALocxuGnj9OaiVYYJ9WVJkIki/goQSej6VkhUHZNG00O5b0U1kvwnSSth7T/6kjbGR5GsRx7fI4YurhSghnTXpdlL2JZtwtzXSIftWLCPPb+1+T4qXiTYOz4huxjt+I7uXRAsdroy7URDjZ6mfw3OYWGuLKMv3HnOW7eCQqINFC5xFM6ZIlJX1rPdMVlOqROgH826MmUNUx0SIEFKQSJMgBerZCSGEVCL+JIjMHswjRAghhBBCCCFVAr8IEUIIIYQQQqakVOK+UosIq2YiVFh/qXgaoujJFXzfkKbBV6lEzW8ltClCG7TP38HKDnc5J7cTH5Q699gBTyKmhWjVfDmaXv00sfEY8u2TvTwNok4wrPiGPJ28ySvhaT2fRXzxQuQ9eZwa2lXxY4g2peX5MWtWOMvh8ztFnRkNHe3dr0GN9CaEo6OirNB2jhfJPmGS7jFrPhst9Lt/jmPtrbIN3Uq7PN15qIQNjjXK/mLi3nik9WXlXBXjEZo87hYroSz2GhXbdzX8vhMo59UPRw8oKRAqYTz1KTKsuZbeYeDcZlFmvc3HsvJZXNOjjMNDno9W8+BofSpzmmOImWK7k6v499AUiCNVwihH6hOV2G8qAHUcTijPOg/tfSHue4v6lft5QHqE/PtAG2PUccdr+5Q+tOrJpjBnoTSOkHmCPwkihBQP88ARQsjcp2wTIWPMcmPML4wxW4wxzxpj/nCivNUY8zNjzPaJv2WIEEIIIYQQQkhJsNaU7E8pKecXoRyAj1hrzwTwUgAfNsacBeBmAPdaa9cBuHdimRBCCCGEEEJmjLJ5hKy1XQC6Jv49aIzZAmApgOsBvHqi2u0A7gPwscIbnAGNbZHbYE6V8hA+8ZyzHLziAlHHZJVrU+/lcckr1z0n17O1ro/ADCi5jaZLYJCrPbXmOd9eI8rG693fMLK18heU9k3u7R1Tch3kj/WLMl/vbNJy/zaj+Jb2HHT3t7Bd7u/wEbmeaID8fSaok7l3rOct0XT9QUq23T8e7Vg0/4/xvIDhsoWiDp6QHiGf3N79oiy+ZpWsODDo7j/qOJP0+lNjvagSpgvr7AthAuN4a6J4pmLN0mNilGsb+hp/5dhjC+T5t21N7rYPSzlorrtXlMGXuWm+Kv/5EPV5Ue78ccr+gqQ8vihSv8avPyTKDv3x5e6283Isqt+tHPOgN35qHiHNq6PlWpsWRno6xLLSFuU54W/Hah4hUjSa99tmipOk5na4ntV4x2JZSbnukbyPmpfJ71NT+c6KTCFXFqo0WkJFBEswxnQCuADAIwAWTUySYK3tMsYobxuAMeYmADcBQA3kg5SQSmVy302l5IshIZWKM+6aujK3hpBosN8SQqai7MESjDH1AL4H4I+stZHjFllrb7PWXmytvTgBJQISIRXK5L6bTPKhTOYOTt81HHfJ3MDtt/IrMSGkMCXzB5XYI1TWL0LGmASOT4K+bq39/kTxYWNMx8TXoA4AEbQ05YXSuJklVi+lPPkhGdbSJ3FQkSXFZcxKm3JlQVYJnx10K9sy7pfHsL1J1gGA3VM2UbYlAPK1J9sYKiE2xxtl4eByt81tz0rZ23CnFwK4swF1929zisy568R6wd7Dsp2efEyTQdmVS9xlANi2yymLtbfJ9UZk+GTjhTPuu3KtqNOww5XWZBuk3Cc+LGUUgRc+3SjhrEdXyzKbcH838uWJANCQPE+u98hTosxnZMMCUVbT5fa3YL8yFCoSJyEjs1JnEIzOhITHuKHnFemlkIUpdeyw1Ib4ocp9GSQAjJy/XJSler1+qoTIVaVpxh0T8gflPSBWiUt5oRYePt6xSK7sj0vD8vhySgjgKLI6Xw6qPp8UmU6s3v1RRgtBrNH+jHuPdZ+rhNYPZbvDdvdreDCoaIQ0GVTE0NZTEgRSHuufI0UGZzXpoCfd0mRUmsrHf8bllXsgpkhGRb1Zlln6fSlYJe+53PPbZ26HfkoELTWJn46goQHw6kXpu7muQ4gvdZ9ZRkmRYb02+RJpQJdlmwb5HqMS7TYjs0g5o8YZAF8BsMVa+7eT/usuADdO/PtGAD8oddsIqUb8SVBUVD9QFLxJUFT8SRAhVYXy40wkmGuGVDNF5rvyJ0FR8SdBlYYx5nUTHwNgjFlnjHmLMaasPhBrS/enlJRTGncFgPcAeK0x5smJP28AcCuAq40x2wFcPbFMCCGEEELIfOCvAfQaY5oB/ATANQDuKG+TqpNyRo17AMdzPGtcWcq2EEIIIYQQUiGE1tqMMeatAO6w1t5ijHminA0qVX6fUn8RqoiocYRMJlTCo8ZXKtrkPfvc5RekFCu+bKkoMxlXx29CRUOv+IZMr+s3MH4Y7iIIYwZjzSelMuMNcr8DaxWPh3eKus+Vt3KtZ3MYedtZSIy422p8QYYADz0/RqBone0i6fUJRrxGrVwm6mhhyfuuXOMsH33TmKiz/Ha5XjDq7m/Xe2TgidiIlNk1b3ePJ1CsLfmkvA65tLus+bm6XpUWZWuTblh38yv5LKt9VnpSel7hSjdSy+Tx1e0eFGV+/0av9LvNiK8xFiBoajy5rPh/4r7PQfN3aFJIzxuiySVrtx4t2MTQD2ELqBIcX/dvs4qXSTlnvochpow3vqfBDilh95Wwy36Ia81/JEL0Qp4ro4UEVs5BuNINJzx4zXpRp+GbD4uy5C9dD1xi9cWiTk7x7yUHvb6rjPt2TI4Fmj9xWhgDpAqfI7Ga0if8fmqVeyBWq4T+9/1GmuxR67uzKI/U+lKY8c7/HiX0f5t8Fvj+Ns07JTx2yjUI0nI89e9D0yy9uma1fPbYjU87y6ESRj9obpRl3ruAdo3VN3ff3+anNSjMuDHmegAfAnDLRFmRulpyKjgRImSe4E+CCCHFoxq5CZnnqEE+SDF8EMAnAfzUWvuAMaYBwJ+XtUUli+Y2j6LGEUIIIYQQQk5irX0CwFsmLQ8C+E75WlS9cCJECCGEEEJIhWCM2Qn304idWLYAjLV2VVkaVoVwIkQqDzXPh9QP+74h3zMEQOZUAQAlp4XcuCLF9TTs4c7CHoVC5FtC9P3ayRxJ4yNSR2wCKWkLD7r5HbLnyjwUPUvcOiYnPzcPL5L+n4blbi6cTLM897Fx2aaaY+651vLsdJ+v5Gxa7XomLuw4KOo8/luK5rvL1abbRiWHS4/0Jgx5OZjGm+Sx1B4QRRhZ5ta7/lWPijq/0So9FBfd4LbhDWe9StTJ7d4jyjLXuX6T0TY5XKcPy/4S8zxCqt9Fy4kyTWxNEpkNJ9uY7Fb8Zmmvfcqtl6+Tx5A87PpHbEzxGCh5Z8Kjbo6oQPEPBIofJxxxt6X5JQIvz45WR0XxG4r9K3mSYq0tXiVF2qqNU167wkUtoormnTp6sZt3bExaP9B8jvQN5Z/Z6hYozQy169fn5XjSxmXlmPPeNZ42iRjCBW6/CI55fVfxq+Q6ZG6xIOuOecEh6TtBVvY3O+p6b/x8PQBglfVEPc3/lVCeISnPb6bcA3ZEyePk11HGDev5rWJNjTLvXFoen6nxyhSfTbhYnnN4uX7G2uS2a/bJ/GEmwvtCEJP3it8uP8fZVPj3tO1TchOemhNmu8/geJTlGwBIU2gJKVUQg/kUPpsQQgghhFQJReedIw7W2l4AfwagEcDnAHwZwKi1tnfi/8gMwS9ChBBCCCGEVAjGmH8BMGatfe/EcgDg+wBeX7ZGlepLDcNnF4kvnWIW7jlLrE35HK7hXfN450pZZ1jKdUQYXEUmkB8aEmWzQSqew9r27heXdx+Tx764UX7mR4e7eEnbXlGlISZDz+4bcz/9j14mP/Pf94wvf8kj0e3JLTqljELLMZDPuBKcXzvvSVHn0wsfFGX1gSd3WC2qYPXdH3ALxgMEI+7+Yhf0i/VWtBSOavT8gsWibPli90e4TT3L8bX1/+5uO+7KizR+9Nwv8er/4ba97hEZ+n3B4+45DlNSzhTbITV8uZ7TlA5FJFtrcPjik7KY2qOyL8VH3SdaPqVIpBT1arzd3ZZRJFLxYRnqNtXmlfXIeyfXuUiUBRlXPhj0KSGutfDCDW4/DZPykZqvk2Wp7W64dLO8Q9QJFb2G9bYfDMl73JcOmVyIwTOanbKul8vr8Mjb/0aUveof/qezPLSuWdSpS57tLC/Y2I9cgyeXGlXkiD3yR+1wBiSbhQgTAcaWuJLgeJOUV/nklOuIvNsvE+mFoopRXkWCUfc4g8PKmNQgw+WHte59EYwoUrWEIpf0UhvkF8vrqOmRTNZtfKxXUWZ50k8DIGx0w14b5fpjTGl7vXsdei6Q0tYwIftu7+Xu8Z3xRRliPXbEHRfjbW2ALxlslWOKH1ofAMIj3e6yIm2dAY5Ya28+sWCt/boxpnBHnSdMnIv7AaRwfC7zXWvtp4wxrQC+DaATwG4A77DWnvKhX53SOE6CCBH4k6CoiElQRPxJUFTEJCgi/iRotvEnQVHxJ0FkbuJPgqLiT4Ki4k+CouJPgqLiT4Ki4k+ColKKSRCZffxJUFT8SVBU/ElQZFLRvD4+/iRotpg8CZpU9pWS7HwKrDUl+xOBDIDXWmtfAuB8ANcaY14K4GYA91pr1wG4d2L5lFTnRIgQQgghhJA5iDFmwBgzOPH3iT+DE//3QLnbV27scU5IdxITfyyA6wHcPlF+O44HmTgl1SONI4QQQgghZI5jrZU6vZP/9/JStuXkjku6n9XGmI2TSm+z1t42uZoxJgZgE4C1AL5krX3EGLPIWtsFANbaLmOM1Kt6VMVEyAQGQc2kz/GKnlz4QpQyEyif45SwzTan6F1nCmV/vtRPC9tqtdCqBbZTMfjHrBzf4AXSsxEbdY8n/fB2USccUjxCM3T9pgyfK6MVT0lzfARvXPT0i8ttS6Q36fyU9IGsS7ga9y/2rRB1Lq/d4RY0AKvjbuM+c/gVYr23X7TJWb6wbrfcdo30JP3f3iuc5UUJ6c/ozspw3V/p3+Asf/WFy0SdRy/6uigLhtzzHyjnfXSP9Oxs2e+WxdqlzyKRkhu7tN095g/seKeo89MN98hGeIx9SJMry5QQqbvd8Nxab5tGV5txbAzITpLw9yqPm9Qx997OKeqX8ZVS2hJ4Yc/r9stxMTEsz8jIS931arqlLCxQPEmJIXf8HGuV3oTkoBxjs7XuMyPVL+skh9xxKn/uElHH92IAQJhyj7lng3xc1x2WPpKEt7/eM+W5+/Qbvi3KvjFwprOshZXvXS/PecMz7v0T2/y8qKM+f0VJNNRxdxo3Qi5tcPQ891zGR9xlq+wiUJR7g2vdc938nBK6Wulv6V5XPph5iexvecULkxp092eVdxbNT+crjYY7lJQIit2scZ97YsNltbKdiu8vlnHbkFVSKWTr3PWaXpAnWPMDDV3lPiPrHpPPlIF18jrU1brPyNiI7DTmqa2iLD9Dks1YwxT+UcUCDADGGMX0fBJrrcy5UF3stNa+41QVrLV5AOcbY5oB3GmMOaeYHVXFRIgQUhh/EkQIKR5/EkQIkZMgUjR3n+L/DIBzS9WQE0T07pR8P9baPmPMfQCuBXDYGNMx8TWoA8CRQutzIkQIIYQQQkiFYK09r3Ct+YsxZgGA7MQkKA3gKgB/BeAuADcCuHXi7x8U2hYnQoQQQgghhFQIxphXner/rbW/LFVbTu60ovbTAeD2CZ9QAOAOa+0PjTEPAbjDGPN+AHsBvL3Qhso6EZpIGPUmHI+Xfs5E2bRjgCMWQ9A8SWNbJ3Ws6J9CiDkJm1WkQ4q2GYG7/XBY5lTR/Ea+j0fTTWsEycJhHk28sLco1I5P8w1pPiVRpbhPpCYlQ6sGLa6Ov/9l0u9ilZ6aS7uFyQ1SUhvfd1SU5Q95OTwUzXmwSrYhv8PN9WLiU4SVnoYCbTBfg18dW/fi8tsXPCbq/Huf9Mz0ZF1vwHBOnte3NzznLLcEUkvdkpB99/UNTznLl6Tkcf7HsPRs+W34xoGLRZ3F9TIPRWDc+2J0TPb3e8fkPb3k3EPOcjouvV/9YzKUa9KTCI6My/0NDEkzS9eY613d8cwyUWf7GunxEn6uM78p6ty06g9EWceZZzjLdvc+UccZ9ybIrXKvTXyrXG8mcg3ZGJCrO3ntbJv0+oy0eWPJmLzX6hqlOaG23R2vR1bJa9Sn+L/CJvfaZjfIMTb1jOwTYy3ueDYuTyvCo26dvBYl2shxcWSRe8yaZ6T2qHzyZxrdbeWkHQg5xZ8RxrxzfoF89l1ZKz1+Xz7m3q+5djmQ1RyRY8HIGjf32fhFC0Sdps0yZ9CuX2936+yU56Bhr+xTyedkf8Y0IpLb2hDZ813v6JrF7ga2HpaGt8uWS0tGZ617H/3q7DWizr6jMjdc/z53fIkr48b4HjleN291r+2YknIv0ybLUj1uP1E9UMpza3CZ+4wdV+z7KeXtzLeCjir+QT+/Uu852uuofD9Z0+rucOe5cr3GPXK8yLS5Zerte+lZoize4z4j+y6QJzh9RD57ana5fSOsnyKsuEytd4KPTPk/x6VxpZ8IVRDW2qcAXKCU9wC4cjrbKvcXoa8C+HsAX5tUdiIG+K3GmJsnlj9WhrYRQgghhJCIKPFwSBFYa68rdxvmC2XNI2StvR+A/1PRtGOAE0IIIYQQQmYLU8I/paPcX4Q0IsUAN8bcBOAmAKhJNiHXucj5/1yd+wk/yMkwqoneUbndYVemYZNKOExPChdragDGvE/4eflJN9/X524nMNFkaIqczA8xbZQsyXbEPb5YKgXYwvI8TSJoEl5XiRKuW2N9pyjK1rltrz00hj2vd6VQLVvl/oY73JtlcHkdml5wz3tjv/x5KtBCamfdT9u5bTvlev45sGFR2dAn9934giZsPnQynO7mQ9fjXy+43an/zUEpQ9vd3+Is9w1J6djPWjpF2TcOXuosb922VNR59mwZ3rcl6fb5J47K9S5fvEss//8dbijuf+iTcrIvfO/Noizp3ir44erzRZ2jA/La1qfd+7AhKaU1uw9I6c4fX/ozZ/lvH7hG1Hn8Hlc2UQNg/Cz3Hnt0TEoq1yXc33ouSSVw5oPvdsoy6+R4UdPjSTAubEPjTk/KOCIlGfEdXrj1WACbm5mIgZP7bqylBTaYdF/2yTHINHv3R32IpYtdacv+g1JqMnZUanByTV66gxp5zjo6pE6nq8u9V0aWK9o0b3iJDclxeXShFibYXe5fLNuUWirHm7F+Vxo1fEw+ilOeejGWkZKmvjPluBgf8dq5pRHnvtpNLbA4Ju+ddze7stx3X/0YbvNC4m89w33OAsC6d8ugTN//yeXO8pGL5TVOepdqcLlButst23ellKiuvE/KnQsxud8uWJLA31z0Xef/v3XEHRcvWrZPSHa398lx48HdMux9U4M7JqztUIJWdcii3T2uzi2slX1p5HVSyuxL6IKlsk76LPmuU+NJhM9olu381c+lXz/X4q4XG3P7rskDOcWd4ONLRJN9AZL9bll4uVcA4M717rXDeuD8+z7oFPmhuQGg61p/DIwhud8dsxY9JsfJvjOkpC2Mu9tveVy206bdbZt8HvlnZHhuUn7K+kXodLDW3matvdhae3Ei4Yqn/UlQVPxJUGT8SVDkHRZ5+qfKX1MIW9zkRUyCZhl/EhQVfxIUFX8SFJViJkGA23fjje6x+pOgmcSfBEXFnwRFxZ8ERcWfBEXFnwRFxZ8ERcWfBEXFnwRFRUyCIjJTkyDA7buxesW0UgB/EhQVfxIUFX8SNJP4k6Co+JOgqGi+jij4k6Co+JOgqPiToKj4k6CZZHK/bWwt/DzzJ0FR8SdBUfEnQVHRfERR8CdBUfEnQWqd4h7fYhIUFX8SFHl/+wt7rzX8SVBUqmISZEv0p8RU4kTo8ETsb0SNAU4IIYQQQkg1YYw5Y/LfZOapxInQiRjgQMQY4IQQQgghhFQZ3/b+Lh+l+iJU4q9C5Q6f/U0ArwbQbozZD+BTOJ4EaVoxwPOpAAOr3e+xQd49k2FMfs7MrnMlCqlBKa2q2y/lcrGke9pyTdLDkzgqdeGxZk/33ifDmlolnLXxQuTaWrm/sQ4ZSjbR72o3YkooaS10NOJet8hIDYhVyoy/niKdGW+QbX/hRk9jPCTPwbENcs7e6Nl4mp5QYqgGcr0okjbhBwKKlySegvaaIXxg/YMvLucVk+Aty+4RZUtWuhKFWw5KT8vGQVe/fkbDUfRlXb3zja/x9NYAPvPUG53lWExejyuW7hJlKS/+6uu3vkHU2bpT+o9Mo7v98VY5Cr6maYsoq13jShpvbP1vUefshNRpXJ57q7P8t//9OtmmcXkdcue693RuQEorPrVRBvr5Wod732W65H2x7htSUmO9kPjxY4o0bkSuF3oeODtenPSzEEEyj/qVJ8ewwX4lPKyXIVwLVY6MvEcTq9xwwhvapW7qLzrvFGVfPOJGTT2jWY55jx1cLspG+ry2t8jxLX/EfV7k00Dg9ZPJ5+MEHz3zp87yHYcuEXWe3SS9JhnvPrDKz5apXiVc90r3em/vaRd1rhyTvrzuIVdmddUKKeX57Ir/EGU/GHyJs9x+vhRxHOmRz6fkbvecD8uhAenp24EK0pOtx9cOufK9LUdcK/K5i9zQ/ADw/XOkbPm2Y+61XJjQQpXL8+iH1Nf4+qCUy+0dd6/lkVXyvF5YL8N8L467euPtGek7/UDTblF2pRcK/VCv9O69/D2bRdk9j7t9oqZLPk/j3iuSDYCxdrfPx0PZ6T+0z33WXdC5X9TZvG6dKPNJyIjl2PsmWfauSx90lu/aeY6oc6BW+sdyngJ26TMFmzQV1vubzDBlnQhZa981xX9NKwa4jz8JIoRATIIIIcXjT4IIIXISFBV/EkRepHIGGluippRqPxNUojSOEEIIIYQQQmaVSBMhY8wZxph7jTHPTCyfZ4z5xOw2jRBCCCGEEFJurC3dn1ISVRr3zwD+FMA/AYC19iljzDcA/H+z1bDpECaBoaUnP6Ut+dxDRW1nz2dk2M+xFukxGH+dl3PmKSk5atwpQ6SmBlwvRJCTutL4kAwTO9bmhgPPpeVnw4HVsqx5m3t5w/VSl1xzTO6v5ojnO1CiUpusEs523PWIhHXSDzS8VMmJNOr2+sSgnJ/HlMjmLc97ngnl7rFHe0QZlNxJPqZWXnc/D9RMUGNyWJs6qUf/1KqLitrOTw9Kf0wU3rztWlG2uMnVuR/saxJ1frVvtSirr3F9FYOjSpjgKGFpQ9mX//T+Xxdlqf3uffH9tVKS8aq1MnRw1wE3pPLyldJ/sn+7TF92+UrXF6V5TUb3Sc3+zi633hl3SHF6TPH/iL7bKO9fjR0bYwAAIABJREFU2z8oyozniwtzs+MRqonnsLbt5LkbuqG4AJ9XPSHL3tq80Vm+JCVTIqz5zh+JMuvlFgqGpK8vMST7l2l218tn5Rjkr6WF9N7QLs/BJ//Ttbkmjym+xYVKWOIad/tLlRxJh3rkvWkG3HNllHvufcvlePGKtOstWRGXfRmQ/rae2m3O8r8OvkzUCfPymAfXuue8bo+ss/ALD4qy02U8jGHfgJtXcOlbnnWW/SzvAHAjZDjxnx50/TEH8vJ+XBqT57EndA0ybYE8r++ol30pYdyWbc/KsWTYyte6hHHPdWdcPssSRo4v958jPWE+f3jQ9Uldd+GT+OmuDU5ZvkduO7PC8+qOyXv15cuk3+nvlv2ns/zJQ68Udb5z4z+Ksuu3u96iHY3SO1en3CtbB73cWRvlPTfUKV+S1vzRw6KsSKgZnGWiToRqrbWPGuM8CmYuOQUhhBBCCJnT+JMgctq82vu7fJRqSlbiqV9Uj1C3MWYNJppnjHkbgK5ZaxUhhBBCCCHzGGvtwOS/ycwT9YvQhwHcBmCDMeYAgF0AikuPTgghhBBCCJk7VGnUuEgTIWvtTgBXGWPqAATWWimELSOJQ8NY8rkZ0BIr38cSw/Ib3ejjrkY02yLrHDtTXshUj6uBHVso10v1yEsSeqk3xpvkevX7RBGGlrgHpEiHMbhSFsZGXU1zukfur/ao1MfHhzyPUFLx+mTktpb/zF3uOUu2s2GvXC8Yc9tg+/pFHS1PkvXKggbFe5EpnGtoJjj8TA2+sHb9rGz7hZyrH18Tl8d59xk/EWX3jLjenq8eermos3m/TPrRs6/NWQ7Tirksp/gz8m6ZrVH6VnfhPBTJTdKr98ujMudD4DVhNCv9J7FWmUdm4/fcbS2/V/a3XL1cL3HM9dyZXvnDXv6wTJgSW+adYy3HWFK2HUnPbzCkJMyYAfJbcxh6RXG+oMncukjmIbnm+Ruc5UxeXv/lZ8lcL4eOuXlO8gPSexEot3aq2x2rMmfISrbG7TgmJ8e3J/YvlRuPu2NXoIjK433KuL/c9XZ1HZXehI4Fsg92Wbfe6GaZj+ZfaqXfpbHTNWKuiEvf2u8dvFSU/egZ9764aO1eUWfTk9JTWLfXPX+LH1HyZM0Cse0ZNL1Begdnglfc/RFR9qs3f16Uab4hn4SRfcL3FvljGQDsHm8TZTfUybyGM8WCpPs6+O71j2HrsOured15rgcLAL6y1+2Dew/Idm+8U47fl9W6ZedduU3Uedeu14qyzjrXX/X0U52izhUXPy/KHj+4zFnOySEF6/5VjunK049UKKecCBlj/mSKcgCAtfZvZ6FNhBBCCCFkjuFPgkjxGGMSADbguC1lq7V2diLfzHMKfRE68bPFegCXALhrYvnNAO6frUYRQgghhBAyHzHGXATg2zjpx19ijHmntfaxsrWpREEMSrWfE5xyImSt/TQAGGP+E8CFJyRxxpj/DeA7s966ErPyE9Hkdb5AYde3ZNjeXI8MHZxP+xIg+fE0HJKXZGyxKxUKRqUkI9MiioTMMj4q6wTK7wsjS9xeOLheSpXqd8h2pvrdsnxSVEHrFik5SfS5cqJFwzLEdhhXJFV+CO+lyi9RwzLuduDrCZSw2/l+KTmpZK5ZUlw2bz/8KwA0Bu45y4VKuF9FFhS2uJ3J9EvZVrJXrpf0VAUji6WcMa6FPPYuf1K5ZKMZuZ71mtB9oFnUMSnZ54fXuJqm4E55Q8WffUE2osbtz+GYlM/FFslQ+rbBk/oZ5VjapVwq3PSMbEMFo/fd/c6SEnQf7956QJT9V72rq33g0JmiTmJYnkd/bBxbq2iO/GEiFiJ+yG1Zflj2Xf+hPrZQCd+fkGOQkIwqIagPHJSytzNXHXSWwyXyWEY/LyV8n1l8o7N87ae/KOocG5dpBZpaXdnVny27W9R5y74PirLah7z+/eCTok6l4/fddXhE1Hnf70ppsTbuRsFXpB/NS7nz1kyHKPu/ObeDNwRy7NqQklJTnzojXxjOTB8Qy986fJlTtmNMPptjXkjvVcuO4rwWt+/e3euG5gaA9X/tpjHYvXOdqPPrH/2pKLtjj5ua4i+uuUPUeWe9DFG/fYkrLf7NH/5PUSfc/JwomwH+HsCvW2s3AYAx5kIAXwSUOO7ktIgaLGEFgMlvsOMAOme8NYQQQsgcwJ8EEUIgJkFR8SdBBOkTkyAAsNY+PuHTLx9VmtEo6kTo3wA8aoy5E8dPxa8B+NqstYoQQgghhJD5yYgxpt5aOwQAxph6AEpqeXK6RI0a91ljzI8BvGKi6LettUo+cEIIIYQQQshpcBWAyTrqEQBXlqktxylZ+OzS7OYEkSZCxpgVALoB3Dm5zFor42TOQ/7ovJ+Lsnt7pDbd91o8/dxKUWdskaIfr/XCUkuZNrJGGnJiI164V2XTeWllQph0e6GJyV4ZU0LQjix2lxOKZ2Pv66RvJH3EbbsStRULH5UR223K0+Mrfiej+DFyR7tlRfIiw9a9Hr+zRMZF+WWD7N93v3C2s2xr5QUZt7Lz1h5274v2p2SbhpSoxBnPHqGFh08flgO3711LHZMrDnfKbV16zk5n+el3nSHqdH6xV5Tl+/qc5Viz9CSFC2VZttX1UMTu3STqzGfe0yDv47x1w9+mXipjVf9igfQU4IB7rmsb5A+vw71u300oSSRquqWPZ6zdXY4pv+mGShR0eOGTs82Fnw0AcHaT6/W4rH6HqPOnb3uHKFu3wn2cX3rr74s63/3TvxZli1a47awPZBj71e+ae/6fSuSvuq51lkPlxfTZnsWiLB+69YaG5DU6Z5mUpnUNueHoW9Ly4ZzJyfGzq99db/MD8p5LnuG+IOxNSb/bP17/ZVH2mQfe5ywffa18Gfn+p14nym793G3O8hUp+Xz66oBMC/HNDa4PrAUPiTqzxCXAySjNJ5gUtfmXpWpItRNVGncPTs7R0gBWAdgK4Owp1yCEEEIIIfMGfxJEikYmpTqJAVD6iVCpvtRU4hcha+25k5cnolf8j1lpESGEEEIIIfMUa+115W7DfCHqFyGHiegVMq7hDGKMuRbA3wGIAfiytfbW2dwfIYQQQggh5cYYc6NWbq293RjzZmutjFM/28znL0LGmD+ZtBgAuBDA0Vlp0fH9xQB8CcDVOJ5Q4jFjzF3W2lkJ1n66/KJ3gygbykrPzhXtrsdga9tCUWd8RIrF44fcbeVrZC9J9kqtcKbdjdOfkykHgBbF7OPrjvNy24khUSQYOF/6c87s7BJlW55b7ix/9DX3iDrf+6DU/FovH5BR8gEFT8j9kZOs/+qHRJnxbAep8/pEnSVN0gC2pNktO6RIJLS02KFn9Rprlv2tpkeu5+fA0nJi1b9J5sY4+piroU8p267pkkPjY5m1zvLb3vKwqPPglktlG+5089+ZNpn0a3i5vDlr7npUNoycEj83ySUNu0Sdqy96VpR9bOTtzvLIgQZRJzng+n9Uz6USUbt+n7s8Ljet+o2GzvHGZsWnHPTJ58VLavc4y2+tkxt/6+u+Ijfm8cr9N4my9z73XlH2qsWuB2nT+SUyVM9D3tLu+gQ/+az8aJDNyVxW4xm3n+R7ZEfd3NdZcP/dmXZRZhUP8Xnnu/fd5sOKsXmbmwOtY4X0sl2dlh64T7zf9WHuvOC7cttXy6IQ7thw1bNvEXUSV+8RZWXkIqXMALgdwJkASj8RqlKifhGaPHTncNwz9L2Zb86LXApgh7V2JwAYY74F4HoAFTkRIoQQQgiZ7/iTIFIc1to/OMX/fa6UbTm54yrbzwRRJ0LPWWu/M7nAGPN2AN+Zov7pshTA5N/R9gNwsnQZY24CcBMA1ED5tYGQCoV9l8xV2HfJXIT9lsw1jDH/AuU7sLX2t8vQnKom6kToFshJj1Y2U2jf1p05orX2NgC3AUCjaS3p/HH8Wtce9d7F3xB1Pvqk/Oy664i7nt0vB+TkiDx04x+dEjIz2yhPgb9e2CK1Q0Eg1wvH3E/ryQYpnxteqoTrPt+VRq1qkJKM7mGZGPk1nlQl6WuzAOx9nYzz3egqDdH6lQdFnUqknH03vtQND5qUqjdYLwJw/uFmjLsqBuzolNffdrkhWRvWHhN1mtdLRe2hFnfjdkQOSw3bZFnMU15qUqWhjGxn4K1Xd1hegvEmeY81bXNPzLN/1ynrDO+WjWhvcxZ7rpDhbZu+VrKQrKdFufpuz02XK6WbRYkfUvs/lPHmnw+8UpQtW+6ut2+vlAD5o2e2EUj1un0iqaQMGFouy/JLC+dFbGt19cev7HhB1Pn84scLbkc7B6+vlTf+lqx7A+XSMhT4g+d9X5Rds+QloqzSKOeYu/fT0fpuFDaPrHCWX7VU9okf/VwqqowXPjutSDGtVNSJsvHmUNZpcu+MzbuWwWbcFVMLR8V6L7tot7M8nEthQcrt87+5+9VivXRSE1i7PDku76/zk+47RIXJ4DR+OOnfKQBvBqA8scnpcsqJkDHm9QDeAGCpMeYLk/6rEcclcrPFfgCTHx/LAMgg94SQyPiToKj4kyBCiJwERSXKJIiQuYo/CYqKPwma71hr/V8dvmmMkUkrS0nJEqqW1mdY6IvQQQAbAVwHYLJLbxDAH89WowA8BmCdMWYVgAMA3gngN2Zxf4QQQgghhJQdY8zKSYsBgHMBrJiiOjkNTjkRstZuBrDZGPN1a+1sfgHy95szxvwegJ/iePjsf7HWylA/hBBCCCGEVBd347hNxOK4NG4xjsvjyoawaczx/ZygkDTuDmvtOwA8YYxsmrX2vNlqmLX2RwB+NFvbPx2SP3HD4X7kuzLce/3ZvaLs8k43msqPx88WdfLDMhxqzUH3U3PYIHtJSgmfbWNuWWKvDJmZlxYKpDwV6mCnbNO44kkK97txYftXybnz0gYpol+UcgXL72s8LOr8ZULur/Urc8NXUSnkDkh16fJ/GhZlpsEN5ZxZJz0tuTrZcXrXu/2tPy01damV8r5I1bqa71FFWpFVQg77aKGLc5tbRdmSR1zPW7JXhnlveVyRL415XrlBKeUYuXS1KEsfcOvNFT9QJdF2m/T/vfSGt4myr559u7N8g7TH4Kq1d4qyL/Wd4yx/N3uBqNOzr9lZziyQY1K2Xsrl7EK3f6XS0uPw8hU7RdnhUbfTr0jJe+dXSjd9csz90TgG6etIGXnfn590x/nRdvlMmQt+oEpjxacU7+oHitvWJ9qfd5bPfug3RZ18m3zu1j/nXtu40m98bygAhN6jP8jKSvlBOfBmG9w+l62Rr5q/3HKGs3zROunZ2XJEphhZ1KgYnDz+cv8bRVnfy7uVmpWL/35tjDkLwEcA3F+eFlUvhaRxfzjx95tmuyGEEEIIIWTu4k+CyMxgrX3OGPOy8jaiyvYzQSFp3IlslL9rrf3Y5P8zxvwVgI/JtQghhBBCCCHF4IXPDgCcDUBm8SanTdTw2VdDTnper5QRQgghhBBCimdy+OwcgM9ba58qV2OqmUIeoQ8B+F0Aq40xky9AA4D/ns2GzSVW3azo1zdLne7GY652+/VnyfgPv9q/RpQNptx8Q+md0p8Rl5JvJAfc5VEpt0WNIpsV4ZKVz5T5Jnl8ZszVD2dz0uuxSElgcFGd6536vYOXym2vGJGNIKdNvl96tmKhK21IPS8T9CRbG+W2ki3uco28/t0jMj+LnzUsMS69CaESkTXwumDqmOyo9QdlP03vcU1w9pDMbZQb0BJtFJZ81G6SGvq+17r3dD0fZTNC0xu2i7KjO11T0AZpb8SPRxaJsqvqn3OWM8vliv/W7+T0RmuT9IiFSgo864WCHRmT4/euQellu2qR6wcJjOx/T48tE2V3HjjfWd59YIGo8zcZ2U/rFroPkadv/kdR55ov0CM0E/heq58eLC6v0JMvvV2Ubfjeh0VZzvPKZdpEFTTslmW+R6juoBxjh5a5/TvVE4j1MrVyAK9rc5/pV7ZtEXW298jnRTxw74PVd0nD1c7r/lmUXYO51Xettd83xpwHYMBau7vc7almCn0R+gaAHwP4SwA3TyoftNZK5yYhhBBCCPl/7J13lCRXdf+/tzpOnp3Znc1Jq9VKqyyUQASBAAlsEMYGi2Rs87NsAzYYzuEnjMERm+OAzQ+MbTlg2RYGASYYTJRJAhRR1mpz0ObdyXm6u97vj5nV7nv37k5N70x3T8/3c84c6d19VfWq6tarev2+974FSTgIIuUhIp8CcBmAZhH5KwCfAfCnzrm3V61NlcoaV5nDPMt0MUL9APoBvAEARKQLQB6TN6bZObdv7ptICCGEEELIguFqABdhUoH1Xefc34vIlVVuU12SKEZIRF4F4KMAVgA4CmAtgC2YDN4iBvdeqi/trk/7kozRJfqnk2JJSxaiXr+elSY40hmA0bvZH77nj+txdqlBb6fa1KKlUelGLTlywb5WtGnZ1VsX36NsGzP+FHlXSsuStt9inCCZE0qDwfUfHESq2U+pDUMaN7rElz80HAf6zvN9ULQrITvg+2XaWGC81KhtqcAl8r1aOhQVDTnbqJ87tmTI4CQyJE5G2xVZLXtq/gzjWyvFn5wzveRoXUbrgZ8T3LcvGD9rNzX5fjNeTCNcVWJxk9Yor2gcULatvb5O+WCfTjW/t1Xrl97U6adev+P481Wdhoyfnju731gjweDxV33aKzNVduWwrrXlu0dLfuf44vt/Xe9s0YQyTRT9j4Zct+7fhoylOjOhvN5IqR5K56MJIHtlr2dbaTwXL+ra4ZWPFlpxQd5f4iGT1p3u/l4/jX3DkhG8eK0vk60T390FoMs5d0RE0iISAUjwxTaHuArN1VTqOFMYmeNN/gTAtQC2OefWA7gBjBEiZEGgBkEJCQdBhNQTxtJ6iQgHQUkJB0GE1CLhICgp4SAoKeEgqI4YB/DolERuGYC7AXy+uk2qT5JmjSs457pFJBKRyDn33an02YQQQgghhJDZ4ytTf8BkrP5TzrknqtieuiXpQKhPRJoxuaLtnSJyFJPp/AghhBBCCCGzhHPu30KbiPyWc+7j1WgPgIW5oOop3AxgDMDvAHgTgDYAfzRXjapX2lqnTwE9tl/LkBoCPW9qTFXRKa8BtO7yt3NGCuJiXtvCOI7Gg3rD0jI9Dh4/5gdyjHdp94oNNeYPx5Z75fMyR1WdT+7TSsy3r7lO2cjs40pGcExOx1B0PubrwAuNTapO2vDdkNjoldJGjsrW3b4WPn/ICC6KdYyQ6/Vj18x4oHj6nljSRnqkQkGZ0hv99NnF7Tun3TeZHf7k+PnK9nuLn1a2Kx76Ra/c2ahjGqJI+8TGRX680bFR7fOLc75f3ju4TtURY98NKd+XPrDz51Sd/Y8tV7Y33ODHYe4b0Mcbv8JYbyHAilGpk9iLecGXhrUvvSYwTUzoztJN6Pd1etTv48Y7tb+lh6ePyzDjk4PXQ/G+RRhb7O//5hseV9vtDpZSWJXVnXxPj/4eyjb4z8V3dm1Sdf5ixxeU7RPnblS2WkZE3gng1wCcCMh1AFaKyHsA/I1z7mNVa1ydkWgg5Jw7tdfUiesJIYSQBUQ4CCKEQA2CSNm8A8ArAJxIWeEAfA/AiwFUZ2HFhTgjJCKDsJskAJxzTqeOIoQQQgghhJTLwXAhVRE5zjU8Z5/p1hFqqVRDCCGEEEIIWeg4524QkWUArsHkhMQDzrkbqtmmii2oWkszQmR2GRz2A3IuXXJA1dm/tF3ZRtr825Tbq4W64ZoqAFAKQhgKxvydFY+RD35vSF2rf4AY37ZI2Tov6PbKe7YvU3X+PHOTsv33ed8ILNVNlU8CjBih6JkjyjZx6Tqv3LpXbze8XOvX2/b48WapEb1dakzHpKWP6vVZFEM6FiLsY5PEA1lEzVrDb8UkwVEqUi0KRmDk4xOjyjYw4Pc5g0NG8GSwtsWThaWqSkNOx4jdf2ytVy4VdJxkNq/9Ow6O1zusF9Naf9l+ZXusf6V/vKv1OlnbnvcfykZqi/d94ZeU7QVv/kuvfO6yY6rOtv3aL3M9/sfA8KX6g2G8RT8rUcHfbvxcHeSZ2+k/K9l+QeF8X7l1f4//DADA1zf9j1e+df/zVJ0VXX3Klor8PnZRTj/P/3JQr68F6HdWLSMibwDwp5hMUuYAfFxEbnPO/Wd1W1Z/JF1HaFYRkdeJyJMiEocr5YrI+0Vkh4hsFZEbq9E+QgghhBAyM8JBECmb9wN4jnPurc65XwZw+ZStergK/lWQas0IPQHgtQD+4VSjiGwGcAuACwGsAPAdETnPuURruhNCCCGEEFIPnJriVE+PkVmhKgMh59wWABBR6RpvBvAZ59w4gN0isgPA1QDqYkntdR/zz3c/zkX+zw57tuK4viXS709Pl/J6uFw01GSpRv94xWYt28n06UnBgcv9afM/3vRtVefBleuV7a+XP+SVr5VfUHU+sParuqFlumH3rf5UeuftPy5rP+TMxBMTgPh+Uty8RtXL9o4FZWBikS+bSE1o380fMlIVDwfSjYKxbJkh2YuP+fJMN6GlSnD+c2Cmz7ZShoeH70v2XooCeV6qWaeELQ0Zqb/JWXPfr12ubJ97n7bFvVmvLK3ab3KNvi2OIzQ1+H7qnPalrkb/3natHcKObj918PAuvf7Bl4cuU7b1q/ylBXbu1TKoqF+ndX/gdR/1yj+/82ZV5+Fdq73yyy/YouoMvFmnz279j7p4Pdcc596hsxIW3uT3n/t6tER97bJuZdu3coVXjo0U22Log7LP6fXKY71aDpy/0pfO5wG8ao2/7uer2x5W2w0FMuKPrvhfvGHHa/w64/5zCQBXLNVy0GLsn8/5zYdVnf+9Xi+3EX3vp8pWQ3wNwDdE5IQU7k0A/ucM9eeehZg1rgqsBHDvKeX9U7a6JBwEEVKTWG/IBISDoKSoQVBCwkEQIXNJOAhKSjgISko4CEpKOAgiZC4JB0FJCQdBSQkHQUmp8UEQnHPvF5GfBXD9lOljzrmvVLFJdcucDYRE5DsAdLQ88AHn3JdPt5lhM8eGInIrgFsBIA8dREpIrULfJfMV+i6Zj9BvyXzEOfdVAJaMpipULGtcZQ7zLHM2EHLOvbSMzfYDOHV+fhWAg6fZ/+0AbgeAVulgWiYyb6DvkvkKfZfMR+i3ZL4hIrtw+skBcc7p+ARSFrUmjfsKgE+LyEcxmSxhI4D7q9ukWeTHj3jFlyzuV1Ue37lK2aIJ/1kwZOiIl2uZRirnx1XEQ1pv27xRpyB+8vLP+sc3kgu+qWX6Nb1etuJpZbs2V57LFZyOEem90NcYd5a1ZzItTseWSUnbXBDzl99upCvN6PgF9Ac+mDZ8xIj1iUf87ERuYkK3KUGsz1zjgvgmSZUn5SAzx93/uGG9WJua/XvkhrWfjo75fjmKBiDyv6lzbbof3jqxxN9uSC9/4DLGt/mgf7y9j2uVeMNx/TIoBYrUzw9uUHUeflx/Q7m034b/3bVR1cmu0cfjqupzQ2nLNmX70tAmr7yiXX9DRMbP9qmVfl+ZNuqM92u/vLTL/x36jqt+YDc23Jfz++vjsX4umiN/mcr9AzpO7vcu0CExdx252is/v2O7qtMS6TTfxy/2H4yu76kqtcaV01chs0FVBkIi8nMAPg5gCYCvicgjzrkbnXNPishdAJ4CUATwDmaMI4QQUnNEnFggJCQcBJHycM71iMjlAF6IyVmge5xz1Q1ssn6Fn8/HmaIq6wg5577onFvlnMs555Y652485d8+7Jzb4Jzb5Jz7ejXaRwghhBBCSDUQkXcD+BSARQA6AHxKRN5T3VbVJ7UmjSOEEEIIIWQh8zYAVznnxgBARD4C4AEA1UsDyfTZ5Gz56gF/nZ27x3T2mpYOvSrzug1+PE42pdWCl7bq3Ppf2neJV37dZr3ew/MadyibFRNUDn/cVV4aTYuMaFeNG+dONbnvD56nbFtu/TuvfOMKvaZGXWKkz85seWb67fJacx4f1WtjSBgTlNLxYG5ca8zD2BsXz2LvaaUMD2KlUu3tusqo1qYjWKfIxTq+ajYJ1ykqPOc83aTv13bq2Nli+yeu0cZhY02qAJnQ0oz8cT+2a6Jd+1u0T8cWhW6ZatbbZQb18eJgV00HdDvTY3pfYx3+vp4aWaHqoElfAwlikuKifgYaysvgnYjCjVcp229/4j+V7e82njt3jaghdt6p17tqivwEYrEhITrUr6O2JJBx5rNavpbu1O/TXQN+5O3dozq+8cKsjlNalvL7oKcm9EKH7zzwEq98/Ur9LTIWPgQA3rzM/455UV4vm5Azvhf+ylhrcbY4/pv6e+HO2/7SK79rra4zDQ7AqRc8hYoPERYGHAgRQgghhJCzJhwEkbL5RwD3isgXMTkA+vkpW9WoWPpszggRQgghhBCyMHHOfVxEfgDgBZhMo/0m59yjVW5WXcKBUAX5wZgvFcqghGXpQc/28+f4KbYBYPtwl7Jtbj7kld/fqVNt/t5inb66nvj8yz7pG/YAv7tOyyvKIZTBLWhcrFI+l8KU1xb9gGSCLka0lMOp1NgFxEEq7CjcD06TGttI9V0O1vGidp3eNZT/qfMFgA4toQuJt2pZSLmEacTTP3kCh97uZ2Jd+v1ZO1xNkxrR8q5SRst7omHfFi5ZAACpQPXYcFjUL5fy/D61nXzPv//ZQUF2wN+w8ZiWqsUp3Yao6G830aLPr32n/1w8/AdX4OB1vl82DKnNED1HS5wmJvztBoyVSzq0qSwy33wAez/ny7lf0zSs6i3knvlbPRd65cV5LaVvzuhlBJ7Y58sj1y/WcrL/2Pg5ZfvToy/wyrc9/VpV57bzvqFsW0b9VO8P9K5VdVY2+s/KeJzGjw6c49k2b9LLSOYj/33x7dEutEf+dbihQb8bRlb674YdH7sW577rXlWvHP72fR9XtvMzTV75mwcfLUdOn8Hkd7pDLXyv12mMUFWyxpFJwkFQUsJBEJlktgZBxKfcdW/MQUECwkFQYmZpEJQYIwY5tKocAAAgAElEQVSqFgkHQWR2KFe+EQ6CkhIOgpISDoKSEg6C5ppwEETmJ+EgKCnhICgp4SAoKbM1CEpK0kGQiNwpIk0i8iEAfw+gfervH0Xkg3PYxAVL9UeYhBBCCCGEkM3OuWEReQOAy5xz4wAgIn8G4FEAf1ythlUsdoczQoQQQgghhCw4ciLSAGAvJqVxJ8gC2FedJtU3nBGaI7p/XadK/MOdvsD6dat0Ctvegk6p/eJFfqyPlVJyIVKuFO6bBxlvOBPMWBxMn7rcFY0Vxq201AmIC9OnPE6S8jop0tykjYFteLOO3UuN6+O5IH125psPlNWmKJfXRuv8gnTk8QLq5dPLl3nlRVt0nVJOX5BicGkzOjRlMlx5GlvpOzoebOQF/s4W/WtW1bFkb5L1/dkZ7t2yZ1Tva8J/Nld9V+cN3v8rWn4qgRSuOK4lsed+4Me6EQnY/Wf6fVhc4afEz0mZktg6IHXx+cq2/AvaT+6/crNXjowutmCkZ3fNvk9s3bdM1bkl/kVlGyn4bXjZyq2qzn1DOp35o71+TJIVt3RgxH9Wrlu5S9XZPqbb+edLH/bKh0s64O0bozpyrVwp3G/v8M/5ibFVqk5GZlWW/a8AfgDgaQAPisjXpuyvAvDgbB5oxtTpjNACekUSQgghs4Q1MCJkgRMOgsjMcM79uYh8C8BzAJw66vv7KjWp7uFAiBBCCCGEkBrAOfcIAJVCWETKyyhBzghjhAghhBBCCKkyIvJfQTknIm8UkbsB6BznlcRV6K/CcEZojmjZr2MannnC17v+3cAL9XYNY8q2p6XTK1/XsVPV+cao1hNflev1yp2REfdQg5SRa5/MF6yYljLjhhLt2yI4nrVmEFbo+B+M+890Zkg/49H3dNzfbBF1LlI2N6j18bLE7y/GZ2uhl/lAsCZV+3YdQxPndOzL2KLp4y4lDhcN0tq4Uk7b2j/l981qPwDEiBFKxX5ch9XGvmt0n15o9ssNR1UVxIf1Ndjw7rlLJ9xx6TFl6x3042EL++fH+2kuKCzScVyNB/W3QOfjfr3RxbrvzPYZmk3x+7jxRbrP2zlgpL1u9vu470PHA02UtC/19vn38gUb9DfLp9b8UB8v4DNDus+77IFbvPLSm41AwFnkZxrHgrJe821nUcdAvWrbqwNL4mVPzhGR9wK4B8CbANwI4H8A/I5z7rGkOyHJ4UCIEEIIIYScNeEgiMyYlwB4F4DPY1K19ZsAvupcpRfK01QqfXbF0nRPQWkcIYQQQgghVcY51+Oc+30AawD8KoA3AtgmIh8WET0lR84aDoQIIYQQQgipEdwk33TO3QLgKgAHAXymys2qS6oijRORv8BkTvQJADsB/Ipzrm/q394P4G2YXKjkt51z36xGG8+W7NfuV7bznrnAK295Z4uq07hCa007cv46FJ/be7mqc3RFq7L9b1B+yyK9BsTFWa1NrjTzJSZovrSzpkkQDySRpXGffo0gF+s61r4klwvqGNsV9DpJxU4/+GIu44Es3MCgskmr7kPC9Y3W/W55a7/MR4rd3V45s1Xf/7HL1ilbquBrMcbatU/kBvw6mUEdI5bpH1e2OFi3qNioX7vW0nDh+lNWuu4lP9UxUHte5S+KlLumV9XZ8KqnlW0u6X5qsbLd8EJ/PbfHWnXa5YXS50Y/eFjZwjWxAKA57dvitH5/T7RoR4mC7qxgqNcaDxp9rPjxbceOLFVVim26r2zo8r9ZXtlRXmjLLc3adz81xzFB5bAh3axsE9cnjgmaFudcL4C/nfojs0y1ZoS+DeAi59wlALYBeD8AiMhmALcAuBDATQA+KSI6Eo8QQgghhNQU4SCI1BGVyhq3EGKEnHPfcs6d+DntXgAnluq9GcBnnHPjzrndAHYAuLoabSSEEEIIIYTUL7WQNe5XAXx26v9XYnJgdIL9UzaFiNwK4FYAyKPRqlJ77D/sFTse1qkhl2zU6XB/8sx6r9zVpiUye4d1jtyJ2J9M++j4y1Wd57XpVJDn5/wp3YxoCci1uVpwnfnJvPTdJMxWGuwyjyeRTqojKT2hHErhpEXLGlxan0s07qdmrnQKn9LwiLKl1unuce9r/J/Tzvvq7LVhvvmuC9JpA0B+62FlG7zCv475Pn13SxlfcjTelkZm2JcFubThb0V/X7njWs5WbNbLH6TG/H43p1VCiDPaT5fe59//vt7q50/veELbvpW/2Cvveu3tqs6NmB1p3HzzWwBAk25nZqfvu41Nq1UdifW7uZj3fTffrapgbIm2Zfv9cl5nQcfget/ni72t6hf9Dz75RrXdbet1evAr1+/zyle179EHrEGs5UvqkXrNGjdnX7Mi8h0AWuQKfMA59+WpOh8AUARw54nNjPrmJXHO3Q7gdgBolY4qLMFESHnQd8l8hb57knAQRGoX+m0FKfPqhoMgQirFnA2EnHMvPdO/i8hbAfwsgBuccycenf0ATv2JYxUmM2UQQgghhBBCqkGlfkJYCDFCInITgP8L4NXOuVP1Hl8BcIuI5ERkPYCNAHT6NUIIIYQQQgg5C6oV6PEJADkA3xYRALjXOfcbzrknReQuAE9hUjL3Dudc3egPSj2+yLvr3j5V58grdTrc5e2+UHf3vi5VZ3ip1qi25nwN7hMHlqs62xZpYfCNK/z0lJ+69/mqTrpFp/n+4fP9zI7LUjr2otJ88+Cj01ciMybK5ZUtngh8wlgI24rZSYJkjK6qVAorJdqXC7cb1ymP5WiPssXr9fMzl0QNfmpcF15f6PgTAFjyI8bvnaDU369sKdEK7GyQCnvE6E8zQ2E8kN5PoVlf+9RY6KdGeuMJ/ZpL9fuxRFbcmmvV6ZObDvjbjXUauZLnkOjSzcrWdFDHarmH/Of15otvNPam47kWCsUdu5QtvdJPMZ7t1XE2sbEkhgv63ThjLCtgfGlFQZczboSbNRw1bMf8n/TDGCUAKPT475BHsjre8X2rvq5s38ZV+oCzxM6/uVbZXrbFj8N637pvqDrvueNtyrYaC2fZgvlOVd6YzrnTro7rnPswgA9XsDmEEEIIIeQsCQdBpI6gNI4QQgghhBBC6gNqKAghhBBCCCGnhemzyawjew8pW+GeC5Rtf5svzM1puTX6ujuVrbvTr5hu1Bse6W5Vtm/L+V75V669R9X50OItyvbJPn+7t7fv1w2tMDeu0OtQJIkbsrYjJ4nHtTZdYa0rZNmMWCK1WdZYpyEOtnNG75nVcUPS3uYbhvRK6PHqpcpWaMt55bnuPONRP9Yj3aXj+YbP1WuRLfrUT+asTfWAM2LCskd9H0gN67XTJPCvUk7Hu5UatFfE2SA+w3BlK0ZoaJPf7w+u1Mfr2KLPZawzWazcXBE/+pSypa6/Qtn6bvTXxVr0ooUbD5SU0uEjXtmKuGwc1LG5DVnfL8dW6LixzIj23dFOP7bHGQcsBf48tFJQDHZ/9cufVNvd+90LvXJ7s14n7YHR9co2l2x4973K1v3VTX65pOO4V/8R44HmMxwIEUIIIYSQsyYcBJE6gjFChBBCCCGEEFIfcEaoikhepyDu+qlOkXvkSn/uOT2qqiA1qtNTjsOXSJSG9O12KT30Hm3ztzs41q7qfGZIS3JCKdwrtr5S1YlffEDZKs2Vf/CbXrnzdk5rzxhL4pYESwYX7Esi7ctmE0K5XIN+niy5nGvy67l2/ROmM1Icp7/9YKJ2zRklfe1yX+UyazMlamzUxhFfYhZFRqrqjK8LSo0U4TJ+vTir/a3UMP2zUmzSmiMXuGB2UO97aLWR5nvYr9f5D9Xv37J7upVt/S17q9CS+U3U7Mve3Kj+GHBd+n0tJd8n0ob0M16mvw+KjWcuA0Bhsd5X+Iv+D5/eqKq89KVaov7Av/mS9C9+YrHed4Xper//IH7q8TVVakn1qViMUGUO8yycESKEEEJmSDgIIoSgbFlTOAgipFJwRogQQgghhBByehgjRAghhBBCCCH1AWeEqkjxoE6fnW9sULYu8dOoji3W6VFj405K7CstR1cY8RJtWt/bfchPqf1kZpmqc2xcp+j8s6d8PW/TXW2qTguqHyPEmKBZwIj1SbX4aUXjEZ0O1cXaByUK9pXScQ+SNhw8jAlq1gL2OGekEk75z4UUdOri6KBO5Wso4StKsVvHWZCZY13HdN5PjR4VjDUKcn6duFX31am0/m1xtMv3QWf8/JgaN56L4LHIDulnLqwDAM1PHffK1fZbACjuYTzQbFDq7/fKqQ4dqxsdOKY3DPpKK8F643FtHe3y+10rfXY0oo1x2vdnGddOf9/BtV55+QNDqk6FJwZMSo8/Xe0m1A6cESKEEEIIIcQmHAQRUutwIEQIIYQQQghZcFAaRwghhBBCCDktFUufXeFJRQ6Eagx3ROt7G0b8tQJyS7QuuH9zq7JJyY+FyB81JgCP5pRJgpCJ/ehUdfoWa318qeTvv+XTP9HHI3WLLPH9RA7oOIuoSfuNG/b9W3LaJ634n1D3XuzQ6wGNLdH7Sg/7Dj68Qmvj26gLX1ikgr5x2FisLYxTM9aoKuV1vERm2A/kidN6lYxCk2Fr9G1Nh3Us2+BKfbz8l3cqG6lPwr4TAFzoy9DSHzHWXMsM6Giy9h3+lgNr9L5HlvvlVEEQL/fX5RLjO2NoMFjP7b6fqjqEVAIOhAghhBBCyFkTDoJIHcFkCbOHiPyxiDwmIo+IyLdEZMUp//Z+EdkhIltF5MZqtI8QQgghhBBS31RrRugvnHMfBAAR+W0AHwLwGyKyGcAtAC4EsALAd0TkPOec1gTUKaXBQWVLt/myNynqKezWXTpVcbHBlwo50fKLEZ0ZG6MrfClH024jreZwi7JtePe9emdkwVDctUfZxm6+xis3P6rTUodIysjRWtJ5govtvlxuYpFOu50e0V3H2GK/22v7N0o4FzrFffu9snv+ZapO5viwV45GJlSfGk1oCVC2oH13ZKnvq+Otum9uOuJvN9qpn4sln+RSAAuZeHxM2dJrVumKYf85NqHraBdEtt//1mjo1t8ChZZgw+15THT4xysZy3Sc9xZK4eYdNTQjJCKrAfwbgGUAYgC3O+c+JiIdAD4LYB2APQBe75zrPdO+qjIj5JwbOKXYhJOnfTOAzzjnxp1zuwHsAHB1pdtHCDl7wkEQIfWE9cNSEsJBECH1RDgIImSOKAJ4r3PuAgDXAnjH1GTKbQDuds5tBHD3VPmMVC1GSEQ+DOCXAPQDePGUeSWAU6cV9k/ZCCGEEEIIIVWglrLGOecOATg09f+DIrIFk+OFmwFcP1XtDgDfA/B/z7SvOZsREpHviMgTxt/NUw3/gHNuNYA7AbzzxGbGrsxLIiK3isiDIvJgAQzOI/MH+i6Zr9B3yXyEfkvIvOOcE8/s1N+tp6soIusAXA7gPgBLpwZJJwZLXdMdaM5mhJxzL01Y9dMAvgbg9zE5A7T6lH9bBeDgafZ/O4DbAaBVOup6KeP4qJ9SOzJSCcdZK22rf1lGO/U4M9LSXUjRrze6VE91b7q9R9kWTCDXWbJQfLfp+1uVrftVFyhb5//qNNshrk2nxo5G/e3Sg/p3HStuqO1R33fpt8lZKL6bfmqvsg294Dyv3Lh/WNWRWF8SF3S7+W7d6ZayRuxFkD676/s6vs7ovonBQvFbAIiPHFe2aKUfDOwadL8YTej3fKHZ/0S0vhdSQZhSw8EIw2v8XvX8v9Npvimgm4dU9snZ5Zx7/XSVRKQZwBcAvNs5NyBlSJarlTVu4ynFVwM4sWjHVwDcIiI5EVkPYCOA+yvdPkIIIYQQMjPCQRAhc4WIZDA5CLrTOfdfU+YjIrJ86t+XAzg63X6qFSP0ERHZhMkfBfYC+A0AcM49KSJ3AXgKkz92vWMhZYwjhBBCCCGk1qhUjFDCrHEC4J8BbHHOffSUf/oKgLcC+MjUf7883b6qMhByzv38Gf7twwA+XMHmEEIIIYQQQuYH1wF4C4DHReSRKdvvYnIAdJeIvA3APgCvm25HVcsaR5IjOX9tirhJr1URTeiJs3yPL+i1dOhZvWyRihFa/ld6nRVO05HpKJ2/VtlSE8ZPPZnAL9M63i1u0D4fN/jd1+C6vKpjrRFE3yXT4dbrZKUTLb6SvCFlxFwa/XApH8RZGOsKWb+0tt3h+y7jgUgSoo52ZSsubfPKqWG9jpAYa7XFad/HnRFMkQp21bojhaV/469vxXigOqGGZoScc/fATrAGADfM5HBViREihBBCCCH1RTgIIqTW4UCIEEIIIYQQsuCgNG4eUBr09WuS1uNXa5Xz9Lcf9MptqoZN0nqEnJF7H1Wmnlc8T9la9miPc/c9Nu3uQ49v+2HilhFyRuKHnlC2whW+7x6/tAWLH/b7Zveg9tskvza2zqh1hJye4iGdZn3kub5MueGo/l6Qex5RtoZpygB9d0FRQ9K42YQzQoSQmiLJIIiQahMOggghhMw/OCNECCGEEEIIOS0zX6q0to9zAs4IEUIIIYQQQhYcnBEihBBCCCGEnJ46jRGqi4HQec85B99+8HPVbgYhAAAxElecDvougA9WuwEEmJnfAvRdUjuwzyXzlZn2u2T2qYuBECGEEEIIIWRusBZ+ns/HOQFjhAghhBBCCCELjrqYEXrooYeOi8jeqeJiAMer2Z4qwfOuHdZOX2WSU3y3Fs+jUizUc6+1807stwB9FzzvWqKcPheozXOpBDzv2mFG/W5VYYxQ7eKcW3Li/0XkQefcldVsTzXgec9PTvjufD+Ps2Ghnvt8P++F7rs87/kJvxd43tVuB6kt6mIgRAghhBBCCJkjKjxTUykYI0QIIYQQQghZcNTjQOj2ajegSvC85zf1ch7lsFDPvV7Ou17OY6bwvOc/9XQuM4HnTcgU4lydznURQgghhBBCzgoRefDSd370OZU41nj/cTz973/6Oefc6ytxvHqcESKEEEIIIYSQM8JkCYQQQgghhJDTU6fpszkjRAghhBBCCFlwcEaIEEIIIYQQclqkQjM1lTrOCTgjRAghhBBCCFlwcEaIEEIIIYQQcnoYI0QIIYQQQggh9QFnhAghhBBCCCGnhTFChBBCCCGEEFIn1MWM0OLFi926deuq3QxCAAAPPfTQcefckiR16bukVpiJ3wL0XVI7sM8l85WZ9rtVpU5jhOpiILRu3To8+OCD1W4GIQAAEdmbtC59l9QKM/FbgL5Lagf2uWS+MtN+l8w+lMYRQgghhBBCFhx1MSO0/fFn8Ir173m2fPgVq1Wd4VV6uyUPx165d5MeFxYb9XaFVn+7pfeKqtPy6Z+crrkLhh0fu1bZzn3Xvcp23WMTXvlrH32RqtO6e1zZRpZlvXL/Bn3/RpfGypZZMeKV5clmVSffrUx4xdt+5JUvaXxGV5oh2366Gy/PvvHZcmrVClWntLhVb5jSPhcSZ/zrIfpSIBqdULb44aem3Xe9E2WzyhZP+NcqvWK5qlM8dETvzBkXfpZINWvfdYWiV5aGvK6zVvvZTNn+yF7ctPjWZ8ujz92o6gys8V8xuT59LQZX6+c2zvjlXK8+/tJ7+/V2P33ydM1dMESXbvbK8aP6ee6+9XnK1nWvf5HF6hsac8o2stb3wcHV+rMiPaK1LoVmvw9btK2g6hQbtW8884qz081sf/IAXnHB+z3b3p/r8sqlBr1dxxbtu8Wcfw6jS3S/HPoyALTs88+h9U5+L2z/22uUbeM77lO2vZ+7xCuv+Cftk9k+/b1QavD9Mnw/AkDfubrfHw67eWP6oHWn4d9Nvi9c80uP6A3nGxWWrFUKzggRQgghhBBCFhx1MSNECCGEEEIImRvqNX12XQyE4nwGI5uXPVtu3VuAlPwr2XwopbYrZfypy/ZtMdp+tMezTWzU8pd0v552VW2atkb9Y8ngLL6y72KvvPipoUTb5fr8e7ryu6OqjsT6iTp2hS/l6LlCSzJKea1n+NIXr/PK9/1IS0cmuf80do3ksojOWX/SEGvPkVJJ28aDerv3qzqRIX+SngGv7AaTXeuFRiiDsygdOaqNcyiDM9swlOD+jY9pW1/fWR87bs55crgo9EkArbv9Zyt3XLel/ZvadwsXrfPKqXH9DESHtH6V/a4thQtpPlhUNpf2BSKuJY9oxH8Oor5Bva/+Yb/8mD5eaWmbso2s8PVn44v0OzozpO/o5j8/rmz79CFPS7E5jaMv8KVwnVu0f4XkuvV7P7P9oFcev0jL8tODui+Jhv19TX/0+seSwVnks36f0vP2ApZ/yP+Wi0b0vZJmLaGLhvx6Sw9qHxze0K5sB5/v1xtv05LItj3+XX3mDUtVHVIb1MVAKCQcBCUlHAQRUk+EgyBCCDkd4SCIkFokHAQlJRwEJSUcBC0o6jR9NmOECCGEEEIIIQuOupwRIoQQQgghhMwO4iozVVOp45ygLgZCUTFG/vBJnbIljRNDM4pioMzNGWkYD+oUrSj4GtXRTVr7mb36YmVL9fha6uKOXXrfC5Duw3566MWxjiOIG7Sr5o4HMUHWwyOGdnenL/mQok6ZWfxZna/35nWPe+Uv971QHw8Avm2bTWIHGT3FN40Yk2jM8N0R/9zNmJZdfnpvN3U8f+f6+kjaj49yRoxSpWNhahHzuiwgokKM/MGTMUoypuNOZNhPVY+CEZti7Du79cD0DUhpiUrU4MedhKnEAcAVdUzgQiN33IihGA+ui9Wfpo1PhtGgvy7qa546pJ+VpqIfe9F3fouq07tRH6/hgE4HPxMcABd0exPNvjimbbuOvYtGDb/J+98Mud06bs016fYWFvtxqinre+GoljIX93DtzfFHFnlll9Fxay5t9A1Hg7jInH7vi/EabTzg92ErftSk6hy9Qh/v8FLf1rTPWIuF1AR1MRAihCTASBxBCCGEEDItjBEihBBCCCGEkPqAM0KEEEIIIYSQ01Kx9X24jlAZOECKJ2MWpNfQjI6MKBtKQZyDsYaLpUMPtdO5I1rbPL5M60hdh68V7v3ZZarO0r/5sT5eAkZee42y5fp9rXZur457Mc850HwXDx1O1Ib0Cn/NpeLBQ6pO/1ueq2xdP/TL1ro5qSFjLZ0JrUVXdYr6/DJZ/54u2q7r9P7PImX79+f51/h3fv1r5jHf/TfTNuskcQwMn4wdcxNah+6sGKFwN0YsRLiGkhXTIlaMUODzktUa97AOAJQG9XOXCAkmphl/ND+InZ9iOexPASDwXTeuRfiuYMRelNk3R81Bv2vIQZ3hX6Ueo2+chlSbXhvHwoXxe8ZzaD2/SZ6DMJ4P0DFQ6a4lesOjRuxr2K4RvS4bIi0ise5piBi+EQW2DmNdqPZlHcrWc6lx3X86bROeJTNSwpKH/POP+oPvgwGjLzPOHZng+ud1nLH1PZIJ46+MWNbS4lZlG7rmWq/c/Nlka/WFjL36amXLH9XvmfS+YK00I27MGX5S6jf8KyDV7seIlYy1zSZuukrZ1n7Nv54pw29MGv34QRXbBgCR8R4d8/uZ5q36OkVF/b3Qd47/eb3jFn0/AQAP2WZSOSiNI4QQQgghZ02SQRAhtUR9zAgRQgghhBBC5gZK42YXEckD+AGA3FQ7Pu+c+30R6QDwWQDrAOwB8Hrn3Jl1C4Ui5GiPbwtTY1uyDUOioNKtWlOlWT/touw5AGnyUyM29Pupsifb6UsWGh+HnkrfsF43c7GW3rlA0tS0T0v/okA65hpzOkWqIbuKe/wp6iiXR7TKl72hT6f2dIGcINXcjHizfz4te/V0dHa/vr0uSG3p8tpVLdmbS/uTnHGTlipEYwVVLjX5x2vZq+U6XT/27+nX8VzIx/V1AO42bKchLiEeMnzlFMpN95tUCjctxSJcKLNzhlwvlLglhVK4+UmxBJzSV1ipqq0+NgmhHFQyxqvKkumEbTBSOVtEjTNPbWtK+pK0ydyZfgYs+anazLi+4bnEQ8NKMhgfOqKPl9XphE1JYohxbyTsC1JG32Ddm/C9/cR2VaWjdO70bToTxRKi48GsRSDvs+TI1vUJZYFiyK3cuLGvUC7Z0qzqpAxJXXsoA1u1UtUpGXJCl/Gvf9N2LUMTQ+LmxoLzMb6j3Ki/XZTNIur022DJ58LrEjU0AOf53wu5XkOGtnWfvx8AEl6/BiPFuvWebZr+ubeWY3GBlDE9pH15xZcPKtuuX10z7fFI5ammNG4cwEucc5cCuAzATSJyLYDbANztnNuIyS/K22a857AzTUiiF5ZBOAhKjKEnTkI4CEqKGgQlRA2CEhIOgpISDoISb5cuz53DQVBS7EFQ7VLWIAhQgyBCyPxBxU0lJckgyEANgpJS5nub1BbhICgx55X3vaAGQUkp87stHAQlpR4GQeIq91dJqjYQcpOcWLUsM/XnANwM4I4p+x0AXlOF5hFCCCGEEELqmKomSxCRlIg8AuAogG875+4DsNQ5dwgApv7bdZptbxWRB0XkwYnYyG5DSI3i+a4lMSOkRmG/S+Yjnt+W6LeElIWr0F+FqWqyBOdcCcBlItIO4IsictEMtr0dwO0A0JZa7OLBoTPWFyvtZyiFs2IVYmOsGEgGlI4WdgroUCfreg2drtHO6Lgf/ySW1MHSW4cacyPNqRmfEkio4mcO6O0SyAhTW/Yom7OOt3qFVzSvXV7HSYXxP5Y0rmjI3orN/nUp5vV2TQf0PS09/rRXTv/aBlUnCaf6bqt0uHia9NiWpC2RXC3wZ2cpTwwZi4sTPBdkQeL3u53O6z8sn0zgO5Yvh/ExzpBpJRGoWDE0ZkrtMmOZ1PlZz1O5cVJlbhcHcSqxsXREZMW7BHErZsyQEesj+SAew5J8W3KiMLaoW8eKxmEsDQB5UscNTUf4veB6/RghlyCWLFEdy2ice/getGKLrPTwKt7IigPt7lG2VPDNYC7TYNxbF7RLpYKH9pO4T2eNs7YLn/to227j+MagtdmXwplLo7TobyRpC74hrGvQ3KBtwXdFsUX7d6ZHt6G4b79XPud2+3neZlpJJamJrHHOuYRmmUUAACAASURBVD4R+R6AmwAcEZHlzrlDIrIck7NFhBBCSO3AHwgIIQuISsXuLJgYIRFZMjUTBBFpAPBSAE8D+AqAt05VeyuAL1enhYQQQgghhJB6pZozQssB3CEiKUwOyO5yzn1VRH4C4C4ReRuAfQBeV8U2EkIIIYQQsrDhOkKzi3PuMQCXG/ZuADfMaF9x7GlnrfUXYkuHHsZeGPpuyWb0vkI974ghkbBSiIYxG+WmJR7Q6wvMaWrkMiUgJSseyNhXqNcWYw2AqN9YUyO4N3Gj1rSPL9IuHmf9a5XtSxZHEF262SsXH31Kb1cO01xfM7YnxPI3rutD5hAXO1P7fyasvtnsu0IfNJ4BK2ZD9WdWfzOX6eBdeUsUzG4bEsRlWbElocGKB8ro92EY62OtexeNGfcq5R8xSuu+OtWsUyOXhs4cDzwtzqkYGXU9rGtYbn+aqEk6TrTcd7P1jJV6gnWSZvEZMON4yiBOuJ8wpjZlpMF2GeMbMPA3GN8LcVb7YFTwfSPdZ6wVZRwvvXa1Vy7ufUbVIbVBTcQIEUIIIYQQQmoTxggRQgghhBBCSJ3AgRAhhBBCCCFkwVGX0jhz/YUk6ztY83HFMmNvZmtdisTHK+9wc0rCcykN+jFPKWMtJWudJFnU7u+n0VhfySAz7LcrVTB01sa6JQjWE5i46Sr7AF//fKJ2PHssQ9M97Ta5YA0lY02ERDFpjAciZ4HXz1kxlmX4tnmcouHfZcZslB1PWW6fXoOYMULpIP6nZPWBRh8SxA25tBGfYSxJJEHsBYzYUDH6/ZQRt4tubTodDgljgsrAvK4J/G02++Z68lPzu83qC8LN+nQctVvSHhiMuHFrvbJx/3gyYMQ+F421D4P1JdPLl1lNBQ7a5prEuGbz+jhTcEaIEEIIIYQQsuCoyxkhQgghhBBCyOxQr8kS6ncgFE6pJkmHmXAqOgrSNcZGOs8oa2gBAuJxnYaRAKX+fmVLr1qpK1oSunA7I7V5mD47mjCmw0PZhnG8hoNnmcYVgESRL3MzpoSjZi35cwVfMhI1NKg6pf4B/1ipZLICMruE8rB6kq7MVPpWbtpeazuJZk/WmSTtdr0Tvo8iQ9IlbTo1dqljeklynDfSpmf8/jQaNmRQBSPt9gxTtpfFLMou5zRdO0HxyFFlS69coWxRny9pc3ktsYz6jfdjkK7bGcuXWKn8w75RLbtCaob6HAjNYb5/QuYrHAQRQgghpCzqdEFVjhgIIYQQQgghC476nBEihBBCCCGEzApSIcUwY4Rmg6T67gT14kAfChjTaIYUz4z/oWTPJkGslhsyUla2+Np0l9LX10qNnTvua8zNlJlFwzcMHfBZk04hWtJ5yjGM+JGcjjdTaWWHR1WdVFurVy52J8wxm8RPF2AMRbmEMQJWPFc8qu/fbGHGK6aNrt94xKZj+viH6eOhrPaFcVRzHntBf1ZY8Tlo1L4bjfj96cj6NlXH+oDKhzGWVj+cMfzUSkc9A98VWP5UXpr30E8T+yT9LRnGdUq1+f5lxRRb3wsSpHmXUSPWbHhE72vcr2fGeBo2xh3OH+pzIEQIIYQQQgiZHRgjRAghhBBCCCH1AWeECCGEEEIIIaeF6wjVOJ4es1wtZsIYnjBuKDJ0zOZ9pEbUJsF1KfX1KVu0NlgrwFiDJ3tUa37luN6XwtDCQwxt+tmSTiFefFLz7NLaB6NhHacG58dVeGsRnSBYR8j07zJ9MsrllU3OXeOVS09uK2vf5WK1qey1uoxrFa4LEbU2qzqlnl69r+AaRx2LdJ1jWmMeJ1gvJdWi13VB0E6xfNmKG9o97eHOSLlxPEnO08TwXbVmU8KYjdB3rLW7wnW55nU6+gR9gXV+4ytblW2ixX//pQr6mqt4IADRgB8X58xYSKOfsWKXZoJAPSMI/ESyeo0ZkzBGyForhu/98jH8NMk6UuZahMEzba0HZK31kyRe0XxfZMPY5zn4fiCzQtWkcSKyWkS+KyJbRORJEXnXlL1DRL4tItun/mt8NRBCCCGEEEJI+VQzRqgI4L3OuQsAXAvgHSKyGcBtAO52zm0EcPdUmRBCCCGEEFINnKvcXwWpmjTOOXcIwKGp/x8UkS0AVgK4GcD1U9XuAPA9AP93+h3OwvRzmfuIz3aqnpRF/OhTXtm9+Dm6kiVnC6VCVh3jQYybAvlMfxn5hsPDRIJi00kZhhhSntFzdDpaF0zPF5r0bxqLHvPlHamlncCBI57NknJZU/+h9M5NGLKgXc/4xzNkW6VBLUcwGqBMYSpwQEuVYKRPN/cVSCTiEUM+aUjHJEw5vWqZPp4ljQsoHjiobOlz1unjdU+/LwtpCORETY2qTtxoSClnehwRL/W1Oi60pDXV3q73Y213LEj1bqXR7VyiG9XiyxWdcQ0tma2SgTUZcsJgO0ml7FS68wBTxpjgVFJ3P6Rsg7/1PK+cHTSkcfuNnQ36cjnJGz5ppXkfL1NKefJISkKpsmdHRl9i3GsJ6qn9AnDWUgwkGdY3WZlp88N+N71iuaoj41qGnuS5sNK8h+m6Tyut168fUmFqIkZIRNYBuBzAfQCWTg2S4Jw7JCJdp9nmVgC3AkAe+kVPSK1yqu/mcnqQM2cEg6CkmPFHZEHi97s6jmYhMV8HQQsRz29lYfstIeVSsSQGCy19tog0A/gCgHc75wamq38C59ztzrkrnXNXZsAPNTJ/ONV3sxm+lMn8wfNdYb9L5ge+3+oZSELIwqWqAyERyWByEHSnc+6/psxHRGT51L8vB3C0Wu0jhBBCCCFkweMq+FdBqiaNExEB8M8AtjjnPnrKP30FwFsBfGTqv1+uQvNmBtNjzipRoxHTYMRxhOQO6QlFZ+hy43Z/FkYmdIyXjGitcNwUxI0Yqa4BzCgNsYsExcaTj2GpQe/Tiv8ZXOOf1+LH9DmMrPPjahqfOazqRJduVjbZuc9voyEBiiw9/zmr/e226guRXrJY2eJh/95a8TndN1+gbK27/VSnMqKvQWpcxzLJ4eN+nc4OVae0VEsWi3m/uxzv0Cl2mzIXKVv80BPKFjK2QV+XXBDHI4eOqzqw0vyG98tINxvFs9BnCYBTYk3MtLZBjJZZp6jvW+hf4ZIFADB6+Tplyx0PUjLvtYJTNGGa7dJBQ0YanIsYz7+VcjrdFcQytei06zBS+RaP94SN1NsZSNr3CVPCZ8bO+XFRpSGd8tpi6f1+veOX6vMTy98WBc+YlXraigey4oZmgoh+bsI4X6O95nUsM14lavCvdTw6Om2d09WbS1Ra+dUrVJ3ijl1zdnwr5gpBfFu53wsoGHGuCZZNMOOBrJjStiBG9nSx5KcJBRWRlwN4fCpEZCOAiwF8wznHqKJZppozQtcBeAuAl4jII1N/r8TkAOhlIrIdwMumyoQQQgghhCwE/gJAj4i0A/gGgBsB3FXNBomr0F+Fz6uaWePuwenP94ZKtoUQQgghhJAaIXbOjYvIzwO4yzn3fhF5uNqNqkdqImscIYQQQgghBAAwISI3A/hNAO+fshlawQpSqfV9FkqMECGnwxm5/K11Voq79vjlp7fr7dauVjYJdeeWztuIW0gf9tcRcTmtC54pcUYwsuzkY1hs0JOkfedrvXp6yK935Cr9KDf7y/qgcNP5us4eQ5seaOEtDbbr6lQ2GQ5idlbpdRpQ0ucy8txzvPIzL9OK3fVf1nruTLe/jtOuN+g4m6xeMgate/21bKKCcf+NueqJFr9dpYyutP9lOgvguY2X+7v+of5RL/+UXlto4Brfd/Odet/hNQAAGfBtrj/B2k3lEKUQnRrvYtzbKFizyYzvMDT3KPo+mGrQsSINO7uVDUEsUWyt65Ig5s2KZQq3C2NxACC93FhbKuhLXBj7A8AZ8QpREHcQG22yYigiY10mhXVd1vvxHyPr9Tpgjf91n27Dw0975ewGvZ6byxpxFb2BX1pxRFaMkBWfOBNE9Jpg4RIBRlusOKdwPTUzFiqln1vrHaeOZ8XHzCGWP8fjQdzWPh1zZ60NptZ4M4jC596Kz7HW8wqvebuxBMWmdcoUP+yvO1jq7Vd1UmHcGgAXxK456x5b8WNhXOPM/fY3AHwQwDedc/eISAuAP57pTsj0cCBECCGEEELOmiSDIDI9zrmHAbz2lPIggM9Vr0WVW0eoYusVTcGBECGEEEIIITWCiOyCr01wU2UHQJxz66vSsDqEAyEyPzCmnkO5XCiVA2CnZA0lPNb0u0UgMXJDWpY0U4qNwPErTv78IZ26vZEh03IjfpvlQi1/6l6qz0vGfflBa5eWbbQsv0TZwhTe6REtD8j1aznhRIvfxfScr+UeI5t8+culG/aqOo82a4lj1O+nvY5bjFTZRS33GF7qn0ts9IKRkel0cL3/M9U1z92i6vy/NV9Tts7X+Nf4lRddr+oUD2hpXCm/1iv3nqclT52PG89FIbAZ0jhLijVTXC6D4rkrny2nenVWVxekHLckUnFW+0TmaNDmoiErMVJOx8G5KmkeADH2FUrhLJlQ1GykvU4Fch4jXX9ok1xWSaosqVQoOZKSIXkzOgfJ+G2Pl2nJqEX3Zb4saKxD77t107nKVty6wz+e8TzFOW2MQh80pWdaGhf3GXrXmZCKgNZA9jcSSIQt6eBiLQELkR5jNsSQWYdyqzBNNQA4I92ySuVs+KnpE6H0z2qTcbxQDmrJSiWIG0m1tqj+xUwvbUk4oyDdfqchewv6Nweg1O6/69I9+t0crVrplYv7D+h9JyB8vgDofgBAqSfw05kvs3Ll1H//CJNZll8DYI50zgubqi6oSgipHOEgKCnWOkZJCAdBhNQVxsdPEsJBECH1RNk/skTlPU/hIKhecM71APgQgFYAfw7gnwCMOud6pv6tCo2q4F8F4ZcKIYQQQgghNYKI/AuAMefcL02VIwD/BeAVVW1YHcKBECGEEEIIIbXDUefcbScKzrk7RSRBSsi5g8kSCKkQqY5F2mjlrw90zukNRuygEcejdM6hlhdAaWjojG2cLSQTI7PsZGxFPqdlBa0NOm4ovcSfGV/epLXpl5zvpzr9cfcGVWfxtfo8v7tlk1fO7dUxFePrjCCaYqDvNjT/l23ao2wXtfrxMe/ovFfVWXaujs/Y8Llf98oyrHX9xU06bmXsIv/+jw/p80sfNjTtK/w4gl9b9n1VpzPSMSkhwy84T9ma792tbK07/HtTatDa9NS2fcpW7Omdtg2zQbExwvFLTqZWz/fqd7QELmDFj6RH9bNdaDb6gIDMoI4fSPcFsR5himYA6FiiTBLG8Qxov0Ha96+4SZ9vnNE+GDf4J53ZfVTViVbrtNsu6PPivPbJaFjHFrmgDQPnt6o6R5+j40g+8/r/55Xf/K/vUnVGztH3pSHj9xfNz+i4ntSg7sPiXr/ftdKDzwVxPo2RTX7cVLbHv45ipIIv5bXzloJ7m21O9p0aDQRLDXQbz6yxbIGK/7FkllbsTXBtXasRO2f01+lS8GwOGc9F0CYBgDCOxnp/h+mlm/X5Dq/XvjuyxPfv3ot0uzd9wnjugzi89MoVuk6jEVcbSPZCvwXmxndPHQSdYvvnWT8Q4UCIEEIIIYTMAlYyATJjRGQAJ7PEPWt2zrWIyD3OuedXvFHWmovz+ThTcCBECCGEEEJIjeCc09NhJ/+t8oOgOoYDIUIIIYQQQmoEEVl7pn93zul1JuaaSk3UMEZo5oiIn4ffyNfujKk2Kye+2reRkz/JdmUjRgrJ4HzCtQQmqxieM/O89dUhPGdjLY6hy7SeN9fr66NTD21VdaxUta44S+lrrXsFzOghbs2N4aXnnGx3Z0bHNK3PHVO2i/N+/M9H9r9S1bmiYY9XfsP6h1Wd39n7WmXbtPawV152vtZbv7XrHmW7e+BCr3xkQv+gFRkXZ/+YH3fwwh+9XdX5xfN/qmyN+4O1jXS4BMaPad35RIffhsi4X6VG/eycv9yP7fiDna9Wdb534Zf1zsI2/brOfCrxOmXL/ff9XtnytjnsiabFpYGxzpPl8Q7dQglCycRo8Mhqfa0z/b68pmm/qoL0mH59jXX69zvf3aHqpMemf0DH2nUsTL7Pb2ehSfdTmSG978yov13xQt2XRRP6GhSbg1iIDfp8M8Mt2jbit2FwjW7nK1/yoLJ98siL/eM36nPp26hlT43b/PiI1Pd0P1OazXeR+Y5MvnmcEQwtD2J7Wvx9jrfoY2SMWLbuC/1ru2irsV6SEU7ZGMQgFjfqNYqc8e2RGfIfoDin2+mspayCWJ/hZbqdWcN3m/b7MXfF1Tour5Q3rtWAf9LFZn284aW+f7ft1B14sUGfzPGr/X23P27s+3y9dlbuuP+spIaMuLWndynbbH0vpKx1yIAzrQz032fYnQC4+KwaRJ6lLgZChBBCCCGkuoSDIFIezjm9snmVqVjWuMoc5lk4ECKEEEIIIaRGEJEXnenfnXM6bSkpi/oYCKVSiNoCiUCYQtJK+2jgykyDGI8G6TATSOqSSuyirE6bGiJaLafkcubxypUsnE4WNg2RkdozavZTeQ499xxVJ07r6zna5ac9bjlntd53j04rXToSpK81ziW1Qctzi9v8aXNLoggAmMElHS+lsXPw5DR+Z4eWxj04tE7Z9k/4kp+sob/oK/nX9b5SE17X3O/ZOnP6eK/p2qZsG7O+XO5r/ZepOk8MaMnPwUFfHremTace3d3nn0tr8xiGRvx7+9TgcrXd8DmBP2f1hY8GjXTGrf61SvVouU/crK9nY9qXSDz96BpV5841Wor1phZfCveR87+g6rx35W/o413op9l2O3Sq7KhTS7iK65Z65dSTOjV3qb9f2WZKnAbGuk5ec+vXwrgtuI6xfo6jvL7WhSDDdeNztd8cflinnC7lfR/ov0j3ec3bjKxWQbMKWnGG8XajnwheF5YsabxNv2Zd4JYNx3U7Rxf7lTIjwHDwiIX7AYBiINlbf6O+/+/t+l9l+8NDN3nlUpeWBMle/S4aPdeXIcWbdXrypqe7le3IS3w/zQ7o57dl96iypbcbOsnj2nQ6inmg94IgNXmn74PSr+9Z4xqtYVrR7Pefz6zSz7/r09esdadvG1luyNIOaGdqDk59dIl2gHGtXlPyPEOBjTit2zC6zH9fD6zRx2vZ79+30uIsxtv8to8usWR+frn7ojxGgm7ektJm23yfGHn+OIqH/bTXi7bpc5noDJZJ6Mwhv99vhLtys9ouNegfb2yVkbZ/WD8rmYN+n+Vyp/mOe8o2A3jvaf9lsseq/EDISoM+n48zRVUHQlMr5/4sJheOumjK1gHgswDWAdgD4PXOuZktjGHl0U/AbA2CCKlFwkFQUsJBUFLCQVBSwkEQIbVIOAhKijV4SUI4CCKkFgkHQUkJB0FJCQdBSQkHQbWGc04HoZI5obyf9WePfwVwU2C7DcDdzrmNAO6eKhNCCCGEEEKqgLjK/VWSqg6EnHM/ABCmULoZwB1T/38HgNdUtFGEEEIIIYSQuqcWY4SWOucOAYBz7pCIdFmVRORWALcCQD7bhtL6k/OqcTaZ9iDd52s/ZdiQuGUNPfmgL7BNWVK8ktY7l/p8zaikk63ALGGMkBGbIob+1I345+diI3jFaGcYSyQZw02seKMEcUNixPHEOf86dG/W59e6R7dzZKl/vKioU5A2F3Q7ozFfsuXGjLSdW3coWxgTVG5azVN9t2FpM7LRyTbuGNb6+kPDWmK2NfIfi92HdLrQFyza7pX/vr8Z3zzmp7h+dKe+HztXd3rlMDYGAJ4+tFTZnr/ej6H664t1LMyXB3XGz4eefJlXzh/U/ta+Vsf4ta30pX6D23W8THpUyzSkP0hde57etxS0Lz/+3Y1eOXeBjhm4f3CDsoUxQu94+I2qzth1uu9Jj/n3oSNrxJqM6fia9NZn/DqqRvmc6rupRYu8X+5io9tNBfE/qZR+jieGdN+VCdILHzxi9LE5fWay2H+WpaAbNbxZa9rCmBApar8pGRL/1Lhfb/Ac3abcSl+CM9qjpTzpPt3ObKBkjY3XxfDa6QMS37fmG8q2Jq2DoN699DteuWjc0HiTvi4dGf/5+dbXrlR1okt1fxEF3Up6RO/78HOblG3ZvTreaDrCPvfya/z+PYxTjDt1W/q6dfrjkX3+dXQt+nmUdu1vw9f49y0+qv17eLluQ/8mv5wa1v5mpf7PdvnfAgN9+ni5dt0H5X/sn/Oofj0hO2jEQwdLYFixPukgzXvbdl3n2Iv1u+eXL3jAK//ryPNUnUKT9t0DL/HLTc/o74XFj+njTaz1n1dnfOYs2mn4ZPDtWNqiY29JbVBtaVzZOOdud85d6Zy7MpPRnSUhtcqpvpttL0/fXA7hIIiQmXKq76aaF3a/Gw6CSO1yqt/mKtjnLkTCQRA5O0TkvFP/W1VcBf8qSC0OhI6IyHIAmPrv0WnqE0IIIYQQUm98NvgvmWVqcSD0FQBvnfr/twKYfql2QgghhBBC6gsX/LdqiHMV+6sk1U6f/Z8ArgewWET2A/h9AB8BcJeIvA3APgCvm24/pXyEvk0nZRrGkiqmfr2U86fIG4/qDbN9Rn74QKtfbNXpfsP4IwBIdQSa1D4jnXFsOEC4RpIRt2Tlts/2+G2IDhzT+04bLpAOLlZBXxc3pvXEkguuQ6OWIIwv1TrrXW/2p9JT3foadLfoMXtLsDxG8+NHVB0rlskNGYsoBFhrBIUxXUnXgToTDakCLmk78Gx5TU5rjQ81ay3zhxZv8cp3GutXPDm6yiufGot0gpsuekLZ7j28zit3G2u/vPXC+5QtJb42/R27Xq/q7D7eqWzZRb4vTTTra78kq1OdXtZ10Cv/oK9R1UGD9t3STt8HSwM6+KOpS/vI8ErfB1MT+tn5afcqZbt52L8342P6+d34CaPTcn7fEw3pWDYYqfvj0SA2cKK8WLZpSTu4jpPxD5mc9q9SEGuVb9RtKRzW962w1K+3arVeKObyjgPKNlD0Yx+W5vQ6Yt/af76y9cW+T2SadVxH4ZDfTisNtmvW1+Bl67Z65QebdVxejxFzlw5eIQXddSI1rPtFt9bf8Dcf0TFpFy/VKfF7xv3++g0rHlB1rm/cqWx/ePCVXjm6SF/zsWH9jHV+z39fDK3S/UzDHOhBCnEKB4f8uMueo/47Nmvc/5su1H1lf8G/ZmMl/WxvatHvpT/temzadv7Mtlco28B4sK7PqI71aWvU3x6Lcr6t2KX95tJ2/Tz9Z981XtmKZTt2rbFW1w6/b7RSzRcbg7WGjGhwiXS803cO+4FS2Sa98+OXGA9LcE9TY/pcDj1X37+1z/fXb9u2S+f5Hm/Xa5qFsURLnjaCoJJBraHBbC6/U+2scW9wzi13zmWcc6ucc//snOt2zt3gnNs49d8wqxwhhBBCCKkxwkEQqSPiCv5Nz79ilpbfqUVpHCGEEEIIIYQoZnP5nURD96lsFX+HydTWF4nIJQBe7Zz7k2RNnlviLDC42p89XPXhH5e1r/0f8FMxNh3S06fHL9dSuMZD/piydbeRnrI3nELuUAtHpcb0NPNEu56uLWX98+07V49pW/cEt3dTC1zkb5fr18fLH9VT6yEybsjCJnx5j2vUcojuC/S1g/OnrK1Um5Extb5oeyALsmRwfVqm4QL5oUR65jlq0ellw/Tns0HRpXBs4uSx7r8sWer3G3GpV/7mwUd1pSBtMwzpwVv2vkjZrlz6jLI90e3LAf7lBy9UdaRNy546OqZfvXtiRPu3pPx79NkHrlZ1olHt8+HzNNFgdHFd2pk6l/p+0j+oZZ2/fKXuUx7qXeOVH39yrapzoNH3y43/oK9Tqk+n8HaHAylru06j7vq1f6s6ZaZ5n46G7AQuWXdSTjPyQkOamoBLf6JlvVe27fHKv9W+T9U550u36p2lQgfQPmKlaZa8v11h0EhVHuzKZR2QDX66NFYC/O97L1e2KGxXq95ubKWWS+aDFMcTB3XmvnjIf56KQxmsXe9rzFY3arXIVe2+1rin1IT3LAr0x9D94poGv59Zc24P7vzOCzxbylB+Dpzj34cGw306/rm89/iZKBQjHDnuP0sbf/XBabfTokDg35+52ysPGsr2DWkt0/qzbj8B2MtbtOzuhiVPK9vhCV8mvXNIL5uQFv1z+pK8n+rfSo1+XbNO73z59Xu98uuatZz/usde6xvWAEcf8182TQf1MzcRPPapcWAi6OIk0hd0c/sRVY4D9djHrvuu2u7/7L3RN5wH/OSRIBGbcf927PfPJcqWsOhH/vfdqL4NZX+DGlQ9NugElYvdKfs4iZbfCUk6I/SPAN4PoDB1gMcA3FJOKyvBbA2CkhIOgpJS7uq54SAoKeEgiJAkhIOgpCQZBFmEg6DE25X5PIWDoKSEgyCywAgHQQlRg6CEhIOgpISDoKToQVAywkEQWViEg6CkhIOgpISDoKSoQVBCwkFQBbg++O9C4RwRefCUP+OXr9khqZiz0Tl3v/j54Y3feAghhBBCCCFni3Nu4NT/VpXKTgjtcs7pjEtn5oiILJ+aDUq8/E7Sn6aOi8iGE80TkV8AcGiGDSSEEEIIIYSQ2aas5XeSzgi9A8DtAM4XkQMAdgN480xbOFdkDg3Pih6zZCw4nTIy1jbv8ceP4zojMPo3GNr0Id82tkRvl+/W8RJhBo3R5XpY3qCzoWJ0sX+8khGe03eedoHMgK8Dbzqsj2fFFqWHfVuxSeuQG49pOUn+bv+cuy/SU92tu3UbUiN+7IPrH1R1kDLiSAKJYNSuYxRcsTITnuNbYuy+WseHVIp/X/t9Zfvg0Yu88oEGfX3G1mq/6TvoaxsGsvqBKo4bacn7g7TkaX2vo5L2idSYb8v26Tpji414kCDvcffIIlUnt0zfk8/deb1XXvUNHTN2bquOP0r3+vuSYzo+o9Stbam1QSpuwyclq+PwpMGXbsQjc+Nf8dZi2XFBp3LH2h8o23k/+CWv/Kkm3RFvumC/sj29c4VXPg8yIwAAIABJREFUFkMvKSWjbx72/aS4WsvQsnl9/ScG/E5VjNiiaNzfd3pU+2SxQbczlMKNDxrLNHQZyzQE5Z5vrFB1Pr9Zv3zede13lC3khU/o2OODT/mpv9dcclDV2f9T3YaWPX558cP6B+/yxIdnJrd7FBve/PAc7Bl4+Rffq2zXX6vjf/559Y8Ci36ODxb1s7Vt2E/TvLxBx+x0j+uYpF/suN8rL0tp2XLOeFbWpP1vgd5Y9yXXdu3xDS/dgweO+7Lho+t1bNnEEf/9EBX1c9Fyv36HPPCjy7zywAt1m64+sE7ZWhv856lpr34XFZ6jr0uY3t+KB1r7JZ3e/+wX16hBKhUjlOA4s7X8DpBwIOSc2wXgpSLSBCByzhlfnIQQQsjCIBwEEUKgBkGEzAXOuTec5p9umOm+zjgQEpH3nMZ+oiEfnekBCSGEEEIIIT4isgtnWETVObe+gs1ZEEw3I3RiPnMTgKswqb8DgFcB0HoGQgghhBBCSDlcOfXfdwAYB/BZTA6MbgHQfrqNKkG5mVlr9TgnOONAyDn3hwAgIt8CcMUJSZyI/AGAz8156yrM2t9LFmcUZnl85vMXqzoTu7RON4wlihssFam+JYVWXykdTRga80ZlUjFBGUPQaNlGVvleOHShXoekcYfWNGcG/LZbzty+Q+8rM+DHVeR79L7jjLHWz0gQj7FGp3mWYa31l1SgDTb0qKUeHbNRy9y44tLpKxlY6w+NxP71Hytqn5woaH21C26RFQ+EXn1vGw/4MRujS/X9yA4YsT7B45Mylr+y1qTKH/P3NXaFjj+5YoWOP3ngcl/yEX12WO98yw5ta/B17vGoEdexTKecdU1BmtZYR0yUVhoBij9+RNtqGMt318NYFyvgjVsPKNtn5CqvvOXJ1aqO5SepoJsoNms/LRb9DjU3qH1yvNOInQzWuyrpXU+uSRQw1uff/9SQfp7iXh1T+qLrHvfKP3DnqjobP67b8Llv+OusLP3wXarOaEEfL73Cj9G4bskuVefOlmXKFhX86xI/pGNpap23rL7OK5+Le1Ud3ZMA0GFUimtyOuHVXYHzbD+uY71GJ/Q9+sCwH9u1sknHY61t7Fa2QhBPuSGv29SW9h+oly7biv/a7T/TDTkdO+mW+M/PxKDx3o90PN+KL/n+1XxAS/FW3bZX2X78lP8ctD1Pv+MfverTyvbOA8/16/zlZapO6Um9BlO5OOd6AEBEfsY5d+0p//QREblv1g5EniVp1rg1AE715AkA62a9NYQQQgghZF4SDoJI2YiIvFlE0lN/b0G1F1d1rnJ/FSRp1rh/B3C/iHwRkzfi5wD825y1ihBCCCGEkIXJGwD8NYCPYlIady+AN1a1RXVK0qxxHxaRrwM4sWT0rzjn5ib/5Dxk9S88jhuf9KeaP52/StWzUrl2H/fTSk50Gelei4GEIO0gzb7ErFDQqx2Hqb+LzVoKFxvZuqNgFjs6lkFpub8zZ8wljmhlGoJZc+x5ld6wdUeTsoVt77pPpwl1GSMVcyGQpoxqaVzxmE51SU7PZR0HkAp8d9FSLQv7TPQcZZso+veocExn2soEu8rsEkRBpuIJrTRV6ecLzUA2UHw0HrZSFfvl7BONkEB1dr9bp7b7P5fc4xu+CvzT11/qmTb+mZacWDLLVJufkry0rEPVGVuuU8fm/vt+ZVuobMzqNQPObfaf7f0rtaR+sEHriGUoeBUaP0i6lG+caHfIdfv9WfNu3SeNB7dWYiCrMq/rfjHOattEm9+GYodO6b2tz5dZLusYwC+s8l/Xf/vqV6jt3Fpf4vbBh16Ntu/51+oVv/lDtd35DVrn9aaWHq98/9sNmSw5IwXDCQ+P+N8LR4+FQn0AA/qlPlzw+5v9TVpSt2OVltmOjvv7SkWbVJ2xcX28wpj/PGWf0f1+YZH/rhYA0up/17zkLfoz85HtV3jlqATsudmvk/qDDWq7G//kSWUbj/12/u6Ry1WdnVf53xDNhvxxLpjK1nzztBUrSPienO/HOUEiaZyIrAFwHMAXp/66p2wEUIOgpISDoKSEg6CkWPFASQgHQUkJB0FJsdZuSoIaBJFZIRwEJSUcBCUlHAQlJRwEJaXcTjccBCUlHAQlhYOg2iIcBCVFD4KSEQ6CkhIOgpISDoKSEg6CyMIiHAQlJRwEJSUcBCUlHATVGiLSKSL/ISLHROSIiNwpIsYqRuRsSeoJX8PJ38gaAKwHsBXAhXPRKEIIIYQQQhYofwvgQQC/iklZ3N8C+HsAv1C1FlU4dqdSJPpJyzl3sXPukqm/jQCuBnDPdNudDSJyk4hsFZEdInLbXB6LEEIIIYSQGuEC59xfOucmAIhz7scAdBpMctaUNTfonPupiOggmFlCRFKYHP2+DJPZJx8Qka84556aq2OeDT/p1XpUizWtviaiWNLj0P5ntGwmNRzECE3oNJM5nfkSY2G8UZjfGEDBkFuEab2ze3X8UWZIHy+MvbjiZ/Ttem7bTmX7y7SvV//sjZ9UdW77td9Qtmgi0BjH/7+9O4+TtKruBv47tXT13j370rMwMwz7IvtuJBJBQcAdgxhfjbwiJKhxAYkx0SBG82o0EHU0JkSRxRARNAZZgtuwDsMAwywMs0DPvvQ+3V3bef/oGu17z53pmp6u/ff9fNB5bt+qutV96qm69Zxzb6C+6sU1dqD0e0d/9xrT5qcmDh1rcxxbWmxbykuFG95mU2tC37z4dWrJQMZoKN6a/HVpA1vQDf+RzQfNrnIfIBZYBTuywdbnfGf4j5zjBSfZ5Zu7LzrKtLXc6a54KlNtPVD/Alsn1/Tj4uSiV6qBrK07eLHbXaZ54WR7Yuxpsn/wjZ1ezcSATeuMestgp1oUsQE36DI2bFC/02sIvAiygSzSwZluzmZdt71hZIetz7j6PLeOpztjX4efe5vd/eKqFre+6oLvfdD0+UXnMabtlCM3OMfjXcqfXC+nbP1PXTSP9O9o4Fv7ye5JXXbb107Xy/a8lK33tu7YG9g2wXs8ATD5cDc9cnC1fbyGbf59RZE8381vnpmwtcG7/tx9/W44wy55jUts07KkW/z88bXvNn22vGmc+dWF4fyCRKT0k6BiXRAqp32E9hGRT4w6jAA4GYB/ep9IpwNYlysWg4jchZGisbKcCBERUW3xJ0FEZCdB+fInQYRfi8iJqroCwBQADwL4UInHVJXyvSI0+ivUNEZqhu6d+OH8XgeA10YddwI4o4CPR0RERERUcqr60VGHR6tqIHehuKRINULFepx98p0IvaSqzrV0EXkXAHt9fWKEvmpzfjMicjWAqwGgHuNb3YaoFBi7VKkYu1SJGLdUaUTk894xAEBV/64kA6pi+U6EboSd9ITaJkon3KKwOQCczQpUdQmAJQDQKpOLOn1MXny6czyvcZnps3LbTNO2fIe34ngg3zbeY9vMcsKDdp5o6oEARIfdfkNz7PKUrVPtlwy9O916heRUm5esUTvO485b5xwf1mDz8x/YfoJpe9vp7u9vY8quENn5x7YuqsVNTceU7y41fcpRqWI3NsvGpKlfAKDenza60RY+9HTYv39sq/c3mm3XQc8G6n+GBm3+uC8RWHI4bUvXjFTKjrN5u3vcsNuun90739ZjND/lPr/6v7f3Xd9va+Aw3Y3n7X9sN9xi7B7Y0GU2IaApYs+7Nyz4hXP8HzvOyev+443uuTHTY98a05PcE3Fit63PiQRWAE575V9D0228xQYChUMt7p1NO8LuR/Wb439ib+f5dGBvlPp6O9BX02493cBMe8595uR7TFsl1ASV8vPC5hvPDrSuGPN2J9ftNW3+Plk7ptoN1nq22vfPyC73HF5nS2+QtX9uDM3w+kxOmj7RhPv5oLu3EZmkd248wt7O/7p7Wr19v1iy/DzTpj2BzQ8912+xJezfmP20c9zwpg2mT5kZ/YJsAnApgGdLNJaqdsCJkIi8GcBbAHSIyDdH/agVIylyhfI0gMUisgDAZgBXgDvqEhEREZUtMwmicVHVr40+FpF/APBAiYYzolgpa2WWGrcFI+uYXwpg9NdvfQA+XqhBqWpaRK7DSHFYFMD3VdVuC0xEREREVMVUNZnbXDWqqtw9fgIdcCKUW61ihYjcoaqFvAIUeuz/BvDfxXxMIiIiIqJSyu2febeqbhCR9wI4C8CXSjoJslm9lf04OWOlxt2jqu8GsFxEzLUqVbUFHzWg7udPOcf3n3+W6SNzbH7v+ceudo5X7ra1Ajt22H2ExMtX99ftB4Cm1wKXo71givfa3NrMK+2mrcVL5x2aZrog1WHzeZevne8c9x5maz8yWZsL/5Y2N1/6jQ32df6ZNts25btPmjbav/TWbaZt1u22Rkxa3UKe1MIZpk+q2Z46ur3ttPrqAknnM4dMU3KOG0uxbTZuUjYV3uwtFKoZqn/WFkZPfdEdQ3yP3RNp0uP29Wuk7XdDQyfMM211u937r5R6oHJS/1P7Wn/fG64zbQtOcDeX+uLC+0yfpwcXmrakt5HPS70dpo8k3XNXOlBzHwl8RBma6p6I7TspkJlvY7CxwT0RN8ZtncWFqy82ba119tzs+8qM5YFW93WfbrC1qJVQD1RuOm4JvN7/YuzbtUZsbaZf53LMxiNNn3SrDcL6rW58+3u3AUDClqDB3/RKd9lzc9LbizAKQLzPHoEtDJFpdDv1NdsTuAbS7NTb2+jbPfa1+sAL9qPp6lMDdUrl7X2q+uVcichNAG4G8G/gCsoTbqzUuOtz/x/YnoqIiIiIaIQ/CaJx27eiySUAblfVO0XkU6UcULUunx3a6P33VHVr7p8fVdVNo/8D8NED3ZaIiIiIiA7aVhH5OoCPAfiJiMQwxmd2Gp98l8/+EwCf8dreHGirSQs/+bhpm/64TTlbsdO9hHvxXLv+w2/ii0zbxmE3Nalpnf2zhZZtbdjjzqoHp9rr04ldduY9OM3tl5lt05lmTrO7QKe8tLfJCZvucXzrZtPmp8LdsN2mX8Sm2DHQocv09Zm2qPdtTHytTQGLT7IpnOmGyc5xqsWmNaQHbLqHnyokgfQiDZz+/WXlGwOx3LTVpkPUbXSXdddddpn39EAgNU7H/qqzPmkfr+9sNxWrgQugTohFH7fnXTw6xzncnbE5lesHba7v3EZ3ffb6o2zMP7fBve9UcwrROjdYk0P23NzS7p4HB4dsXlIiYR+vKeHGUn3U9lm3yy6VPLjDXa/bT4sCgOOHF5u2gSPdx1v/hW+ZPhd+j6lxE8FPMXxwy9jLaYf8+LQlpu3S++w6VuqFZcqehhENZFT6nyvqdtk+2bj9XJFqcc/Fifn2fWZowE2dHt4bx58c5ZYPPPSETXGLJt3Hu+3fLzV9vvHh203brbAxX+b+FMD7AXxIVdeJSALAO0o6oqJdqSmjVeNE5BqMXPlZKCLPj/pRC4DfFXJgRERE5cqfBBGRnQTly58E1TpV7QbwzVHHwwACG9XRoRrritCPAPwCwC0AbhjV3qeqewo2KiIiIiKiGiQivRjZdnb0zFJUtUVEfquq5xZ9ULW4j5Cq9gDoAfBeABCR6QDqATSLSLOqvlr4IRIRERER1QZVbT3Az4o/CapiedUIichbAXwNwGwAOwDMB7AKwLGFG1pl23FWt2nru9tdXvq/1tt868GBwJLDaTcndmCerVVo3mSLKPpnu7eL25WSMTTJ5veaeoxuO6adsRbTdvisHc7xouadps+FLS/YQcDNmf/stCdMj+UnBW5GBZHpd9eljmRtvEUCNULJFjdwUjZEEA2UesW8chx/WWwAyASWxo7v9fLQu2wNRXQgsP3ZoFuzkQnVA41Xgx1ow31c5r1o/thdPnvNSrtFwXDWvu0d3bTVOc5itunjp8JlUrb2pqHFFlpkvbWDU332fKqddi3uQW+p+UXttkAjmbTPJdrnvg5bNtlvV2PDtu3iK55xjrlUdvGEftd/v+EZ07bQW0L9mjVXmj4as3/bTL23xPWQfd8PbZPhn6/9ukzALo0d6xekF7nn2PYmWy88fZr7+WD7kH3DyAa20oC6r7uBo21d5q2HV1w9kCEi7wfwmKq+KiLnATgNwI9U1e6DUSxVuo9QvitQ/D2AMwGsVdUFAN4I1ggRERERUY4/CaJx+xSAzSIyE8C/AkgAuLu0Q6pO+U6EUqq6G0BERCKq+r8AXlfAcRERERER1aKUqmYAXAzgh6p6C/xdj2lC5Lt8dreINAP4NYA7RGQHgMBFUiIiIiIiOgR9InI9gA8BuEpEBPl/Zi+Iat1QNd9f6mUAhgB8HMCVANoAfKFQg6pW9Ql3Uf7hVODXv9PWGCR63SRctanpSNsUc7S86gbTwEybF5xuMk2o63GP67fbC4eNi2zB0ZpNM53jRS02p/1nvfZCYnfzGue4JWL32bh1k83EvG7+OaaNCiBjE3a1zsbulOVuXVyqeZLpE9qrIpp04zQT2Jci0RvYI2iLe2fx7ba4SAL1TTpBNUESDbwQAyfwyCnHOcfZZS9OyOPT2H7wyumm7c4Tv2/aPrTqKud4aoM9v6lXDNHWbuOot9du0DKl3Y3LoW5bA51psbUQk73737bXfhksr9rHS012v6OUQE1U9+H2nP7lGd5eNltMF9YNFdErqemm7bREl3M8mLLvlQjU1cS3uOeqwdm2T12XPZ9lvbsftEOCeKfY2IYGpBvc8+DMeXb/wPVd7r5zh7V3mT7RvsBnJH/fuT225q7vF4ebtpY3r7P3Vd7eD+B6AF9R1RUi0gTgmhKPqSrlNRFS1dHvCnanKiIiIiKqaf4kiMZHVTcB+MSo4wERuQSlrM+v0uWzD1gjJCJ9ItIb+K8vt8Y5ERERERFNEBG5RUR2j/4cDuBTueMbSz2+ajLWPkIszJpAfduaneP2DjuX7Jlq/yQpTTjH9Tts6lDUriCJdL3bL5SWNDTDzrw14t4uPc+ueaxPTDVtH3jXY87xj1afavqcM3+9aTt1ivt7mBQJ5PmhOdBGxZAdHkKkzks/6LQreKaPcZeHb91kywgHp9r0i6YtbspodMjeLpK0qRzRHXl8F9MXWIvbp4G1OmXsdWQibYFtHobsiyzS46Y4FXll0JrWnLAnxldSU0ybn2K0tt+uJZxNuTHR09Vo0uViCRu7u17xHi+hSOx27yvTYM/p/YPueX/PZrtkvcwOxJuXKtS70N73S//3W6btuz3uUuPvb+U2gaX0ufveY9ou/NOvOccN8ZTpg6h9T896p2+N2z7JqYHz7pAXp832PNzwmvvaqUsJ0ke7qaW7h+x7+vVH/K9pu3ur+5lBpwXiO+aeQaMxe0bNZG3MV6DLAEzPLZgAABCRZ1X15JKNqGhXhIrzMPvku2ocEdUoMwkiIjMJypc/CSKqJv4kKF/+JIiwbPQkKGdlSUZS5UpyRhaRd4nIShHJisip3s9uFJF1IrJGRC4sxfiIiIiIiEpBVa8SkaNF5DoRuVZEjlLVq8a+ZUEHVbz/iqhUX029CODtGFmO+/dE5BgAVwA4FsBFAP5FRAJLMxERERERVR8ReTeA+wDMAnAjgK+IyJWlHVV1Ksma5Kq6CgBGlkV3XAbgLlUdBrBBRNYBOB3A48UdYWEc+R23XmHgH2z+a09Xu2nL1nk5sUk7N0wGyhWGvdWLs3WB3OFYoK3Nfbwj52w3fTY1TDZtH2h/yjl+uP1I0+eW2Q+atkmR8dX/7P7w2c7xlO8uHdf90IFlUzZ3XL16IACIdXm1MAkbp82bbT53YoebSiF7A8VsyUARXNaN3ezuPXacodv5QvVAobohT2aPXe41JOLVKUWbbbxn+vOoZaKD1nyjXV76ps9fbtp6t3gn0HpbC4GIG28tbYOmS1+nLauNDbrvc5mE6YK2Nfa1Mtjlxkk0sBpX4yr7Fl7f7fa7/K8eMX3Oef7tpm3rerfu847F9ryfecdM09Z47xOmjQ7d4tt3m7bfvt39G2Wy9txV12DrhlLNY6c3a+CzQOsid0uEru2BsvHj+5zDGIAz5mxy2s5os7XBKW8fkHXbAnV5gza+W2e6taHRiB33zOY+0zZ4rrt1h/z2OdOnzNwI4FxV3SkibwbwNgBLAdxRshEVq8C1xmuEOgC8Nuq4M9dmiMjVIvKMiDyTQuCDE1GZYuxSpWLsUiVi3BaPPwmicYuo6s7cvyVXLxTYOIoOVcGuCInIwwDs10fATar60/3dLNAWnBuq6hIASwCgVSZz4XqqGIxdqlSMXapEjFuqQEkRmaSqXQDqReQ2AE+WckBSpNqdYj3OPgWbCKnqBeO4WSeAuaOO5yC4vzURERERUVW6FiP7hnQB+BGADShlWlwVK0mN0AHcD+BHIvI1ALMBLAbw1IFvUjmyy19yjjua7H4WXXPtevt7X3PzcgeDe/8EHs+rCYoO2QtuHUfsMG1XH/Yb5/iqll2mz+aMzcHtiLrjbIrb+ozp0YnbD2j3aW7typTvTthd02iBehkJ5QpH3ZzvxOqttk88cGXf3+snaoNZ04E6pYFBr4/NjddMoNajyPw6JWkM7ZNFhZB91q42m0ofZzt6p1TptW+NknHPn8Ov2mKfulBOg/daiYdWFw58AdrobdUVHQ7sHzc89nvBa0OTTJ89T84wbf6z6RycZfpMbbLjpMLIrFxr2r7d+UfOcWgJ98YG+77bO9M9N8cCdTWZYVunNrfVrRH6u6MfMH3OrbefDx4ddONrS8rG4OKEG+DpPlvHNGOOrcPMeM95csNe02dywratWuDWC7b91nQpK6r61Kh/f7GUY6l2JZkIicjbAPwzgGkAfi4iz6nqhaq6UkTuAfASgDSAawPrqBMRERFRmfEnQTQ+ItKLkXIRBVCX+29AVQMrVhRJ0TZUrZLUuANR1Z8A+Ml+fnYzgJuLOyIiIiIiotJTVWcpSxF5C4Cz99OdDkG5pcZVtTe84KbyJCIbTJ9Vu6abtvlHuylGA0l7CTkRt6lDr210l6N8w5kvmT6r9tj1LM5u2Oi12HS2FrGh8/Swm5r0rUV3mz7AxH2ZEWmwz3midP61Pd+s/Oi3nOMLZ59YsMcvO94S09HVY68MpAAk4SbcZLfaJXkl7sVS1KZohJbB9tPeNFvcb5Gi7Xapex0ee0WqQqfrRdvanOPskfPsGJ56oaBjKBfrvnmmaYsE/kaRpJtuE+uz6ZmxQEpbpt499tPZACAbyAb1Vg5GXZ+NXQmmy3npn3YLCmTjbttjmxabPukme+exAe++Aml+8YHCvcbk1ONN294v2WXlG95k3zer0dolp5u297a7tfKPDdq/bTZr/3DqtWVT9hwbidnz0ouvznaOH2461vZJ9Ji2S1pWOMfPDdjtFn64wX1+0zu6MK/NTcVb1LQTvv7A+vNntLjLc7+wd67p80JjKG91YvRcdZZp+9jn3M8//3aEPQ8fDFX9bxH5EoC/PqQ7OhTFeo8t8ns5J0JEdGChfXbyuVkisGEKUZXwJ0H58idB+TKTIKIy5E+C8uVPgvLlT4KqhYi8Y9RhFMApAGzxEx0yToSIiIiIiMrHxaP+nQawEcBlpRlKDmuEiIiIiIiokFT1g6UeQ63gRKiIUn5ORGAJ4vctenrM220etrUJJza9Zto+fJxbW/SNrsNMn4/NeNi0LYqNvcR1a6TBtJ3mZUItS9pZvR3B+P389bc6x9dPYB2hXw9UyyQSqEPotbn7/jLbEgsURwTuy6//yaZs7VfEryNCoNYmsMz3eIXGHml1XxfSbNcSloxdGlsnuXVxkrK5+Nk16w52iPuVHXCzJ3acauvyplXNpgQHFh208RZZZ89dES/rLLTEddzuGICsV67ZdYatZZvyO7dTosfGacN2W7cUHfZq4AKvnUy9fV3Ee93XT91v7N8/EXip9J/l1rBGo7bTzhNtzM+/197XeOw6yY7zmeN+aNouRG3UZkrUvn/es/Jkt09oGeykzb2Ubvd8Fp1m4+2SI23d4K+2HO4cP7zpCNPnrQtfdI7v6DoTq3rd2uM1223t8+Lpbv3PS9vtanNDU2x8N3vbcrwQtfVAJzdtNG0PzHbrBe3mJeP3t3/7fdN2kbeM+b/h4GqERGQ6gH8C8EaMVOw9CuAvVdXueVIsRbtSU9wrQuNL/iciIqph/iSIiGAmQTRuSwA8CWAOgA4ASwF8u6QjqlK8IkREREREVD4Wqurlo46/KSKlTZcrWo1QcR5mH14RIiIiIiIqH2mRPyzZKiL7NlelCcYrQgXS9UG7rvyda926iqOm21TP1viQaZuacG+3od9mt8bF1h1c2XWkc3zRlBdNnyMCtRf5WJ2ySfTdWbdI6MxEYXNHrp8/vpqgB7eMb3nPWhXe92bsvXDGvV9OYLnuUN1QPrcbb91QJFT/0+7uzzNwjM1718AQxBtC4mfjK9CJ1NnXU2jvpEiDu65z/3zbZ5ppqQ6x6e4zmxLYLikbqL3w98yJ94+9r08mcHqb+Ut7Pt15knvD+Q/mtwy2XxMUSdrXU2xnoHAp6gbhtBW2ZmTdlbatzqsJmjOlyz7e34zv3DnwLruf03CbO866Au5RVO6iJxxt2g67x/bbfYxX3xb4lWVsCRyGprodMz02eO9/6QTTpin3bzRv7i7T54We2aZtwy7vM0pgC5/VW92aoKZGW7c0lLGvp2vnPuocp9T2+d7m80zbvM8vtYPIw/TH3ZrsI5vsXnjRUMH3obsGQBOAfS/y5lxb6XAfISIiIiKiMDMJonFR1SdF5GgReSNGpryPqOoTpR5XNWJqHBERERFRmRCRdwG4D8AsADcC+IqIXFnaUVUnXhEqkNZNdhnVvcvc5UFfRguGT3CXuu2YandXnlznpqE1xmxqxYvds0zbsHdZ+bHokabPpuGppu3Exled43t2nmb6XDvzEdN2ZmJiwunC2bWxPCrlhFLa8jHe5bK9xwsuzb1ojr2dt+x1JGUv38cftMvfT5RIi11eODs4aNpkhpf4poG8lCqlw+55t221XeYTGQVwAAAX7klEQVRd4zbe0s3u8sKhpaolY//efipkts7e9/xf2JQ2jbn3P5L+74oM2fN8us1Ne+w93sbEwGx7X01b3LHLUGBrgw8XLmV4zzH299K4xT3eO7124tSXnGaX3U/ssq/ttg3u7zHZEojlBvt7THS7bclmmxqZarNt6SY3TjoTk0yfUHpeNuOl1M3ebfr8xWGPmrZ3NLmpnm9de5Hp88kV7zRtHW9f6bVss4Mapx/M/5Vp2511P5Pd3nOc6fO1V/10x80H+9CfBXCuqu4UkTcDeBtGVo6742DvaMJM4BYVZfE4ObwiVEL+JIiIiCpDqB4sr9vFxveB358E5cufBBEVkj8Jypc/CcqXnQQVlj8JKqCIqu7bbElUNQMgsDkfHSpeESIiIiIiKh9JEZmkql0A6kXkNozsK1Q6RVs+m4slEBERERHVqmsBtADoAnAngPUoZVpcFSvJREhEvgrgrQCSAF4B8H9UtTv3sxsBfAgj6/P+pao+WIoxHqroI8tM2/xNC53jVbPt8ruwJTvIejkYq3bY28VjNg99cMhdInNHt80nX9Vid4Fe0eLWR0yps5eCJ6oeCKicmqBKGWdZy6MeSAL1GeGlsd1+oeW6JWrz3sVbhjrUR7M2Rznb4GYlFLIeKCRUDxTxlvQGgN1nu8vSLrhhfMvGVqJMT49zHF33mumTPXKeaZO0+w2k1gVqdtI2JiJJty3ab5cAzta558rk5ITpE0qXS05x60bSTTZO21fb9OruI9yl3+XddsnjxW952bQVUoPdKQJdx7m/O395cqB2zrmhzwuRWfa9udGrJZMOW1uUjdlzpXgly8NtNt5CfyP/HDvUa9fmTrW4f7gIgNgc9zPDedNeMbfbkvLrjWxq3E3zf2baPv+GUwIDLZxX0m6d4aJYs+nziUkbTNuDx7Ye0uOq6lOj/v2FQ7qziVKsZa2LfEWoVDVCDwE4TlVPALAWIytiQESOAXAFgGMBXATgX0TEnv2JiIhKyJ8EEZGdBBGVu5JMhFT1l6q6b4fEJwDsuwRxGYC7VHVYVTcAWAfg9FKMkYiIiIiIMHKlplj/FVE5rBr3QQC/yP27A8DoXIbOXBsREREREdGEKViNkIg8DMAmuQI3qepPc31uApDGHwrAQuuKBqeGInI1gKsBoB42T7Ysdbn56zOX2lqfnvl2idQHNh/vHMcb0qbP8LBdVTHd59VC1NlUjm2D9naZrPtnWDVsx/n91vWm7YwGN0/22HiF/F2KrCJjt9RC+wp4dUPBJNpQbZGfZ98U+BsE9ozx9xEq9qLE2b2B5faPWmCadrzR20vnPyZuDBUXu4FvFqNb95i25FHuW5UEcuHT9W6A1Q2H9gcK1Gd4cVO/1e5tlGm2dUN+gMV7bf2RRu3jTV/mvla6+qeZPm0obo1Q82b7npVucD9+rPjkt0yfCz82MTVCFRe3ALTd1phEN7ibL8Xa7es/Xm8/RqWa3Lb6Lvt4w7bcEHEvy61lo31d9C70Hm9NM7J1br97V55nbjc03z1P3TfPFikd3b7dDgr2dVBId3S7+yi+u+0Z0+eoeJNpq0pFWzWuOA+zT8EmQqp6wYF+LiJ/BuASAG9U/f1vtxPA3FHd5gDY4t82d/9LACwBgFaZzI0SqGIwdqlSMXapEjFui8efBBGVu5KkxonIRQA+A+BSVR39Nef9AK4QkYSILACwGMBTofsgIiIiIqIiqNIaoVLtI3QrgASAh2QkTeUJVf2Iqq4UkXsAvISRlLlrc7vpVoX07t3OccuduyGnumlv23vsZXuJukGRTkaBLjftTZtt6oHEvHSiLBDd7abCRebZdJtoxH281oZhDPzSTY/7f8++3dzugsvtJeNvzC7uEsO+B7esMG1dWfc5T4pURqpEOYk02GVUQ8s7j4cG0pIi3pLXQGC5bImYpbdD9+WfZLO9fYg0ujEg2+ySw5nDvXLFs18HLH3O3v8ECT3nbMp7nQdS+CYvDaRZ1Sh/OW0ACGVQRlLukuPJNvvWWNfn/u4zjTFEB9y2bGBbgciw20ejURODkrGpn9Eue27Wevf87S/pDgCJPSnneObjwO7jihsTscWLnOP6HTadqX6y+5c447MfwSnXLvd6DU300CpGZtVa0xab456D6nYHYiT4fuYt4d4c2qLANkW9P1uqxXaqN6dKQV2vG9+htLvIWvf8tn3tHAwscmP3TWetMrd7GYVLQ3vtc2ebth+sdH/HP8Dp+PiJjzhtl/zPJeZ2i/D4xA6OCqYkEyFVPfwAP7sZwM1FHE7J+JOgvHXZD0j58CdB+fInQfkq9SSIaktw/6E8+JOgvBVwEhRiJkFUUv4kKG/j/LbTnwTlq9SToHzZSRBVIn8SlC9/ElSu/EkQVb5SXREiIiIiIqJKENhovKIfJ6ccls8mIiIiIiIqKl4RKqHIy6+atqbnjjVtWS8TLpI0XZBpsOlyw5PcS9SZRjvLzuyxy3Xv9JbPzp5s87RXnG+XOn3drz7iHJdDatyFs+3yq6G6oXxuR38w3nqgUPqaX8cT6iPxwKkqj1S4SLONb5k8yW3o7TN9MgtmmbbkJPc1Nr4E1fxlk+4LPTbdLoPce7hdYnfKd5YWbEzVQAOxW7fLXSc4ttf+dSUdOH82ejU7geWzzeOHltgO3PfQfDdOd5xsxzRjma296Z/t1Y8W+evO9Muv2MZprzNNO09zn/Mrp9VuPVC+Mlu3OcdRv04SQMNe+wGhfqt7/hye2Wz6xAJbcAy3ep8FAqdh8YaQbBUMeaeq17/Jvuf+6iH3PbZ9hj0PL90dSrPcFmibGHO/aM+dnfce5xyfWG8/ty36RI3UAxVt+eza21CViIiooviTICKCmQQRlTteESIiIiIiov3jFSEiIiIiIqLqwCtCJSQtNk93+nM257tngbv8aTaQkRELlGxEkm5+b6be7qCRDqwcHJ/uLgt73Fybk3tb93Gmbd35/+4cH7P0fabP3He+YB+wyE665RrnePo/s6bioEngOxQde6WX0L4+piYocN8aWEVGvH12pNHubRRcfSbmvg6yc2fYPoFvpOp+XuK9nQNjarz3iRIMpLJJYA8s6XVrhCRuz5Ua8eIy8PeQQHynWtwTtgS+7EwH9gMSL3RbOu0Nt51hl8ZO7HGPZ3yj9Oe32O5+07b42uIuP18NIs3uZwYdtp8XtGmKaZOUW8gTCyz9no3aGPTrk7OBTbiGZtm4zNS7bQ+/dLTpc/4FzzvHz9x1gr3vr6+2D1hk877kHn9h2UmlGUg5CO3LVwi8IkRERERElcafBBGVO14RIiIiIiKi/dI8sj4m5nF4RYiIiIiIiKigeEWohNKdm01bos7m6bZnJjvHw+2BXN6Y3VOlv86d5ybb7BgyDYG9MTa7ecjbW20t0zM4zLS9t2eeczzlzib7gGWANUETIPDNUNTLX88M7M3rdpp14zQSD+0jFKihSHgJ7E224C3bZPcR0oSb6B7awyW6cbtps1n1xZXeuavEI6gOmZ4e0xbzYieyy/ZRr4+o3dcnG6gtGprq9gvtxRIfCJyH69zXQWyv7dO23r5WWtf0uo9nH67o0mvWlXoIVcGP3WibfVOPdO6wN2xwz4MRv94NQMOewF6E7W6whurb/FrkSFKQbvGirscG/ZOb5zvHHY8PmD7lILvsxVIPoXwUq0aoWI+TwytCRERERHTIzCSIqMxxIkRERERERDWHqXFlJrvNXtau6+lzjuMd002fvfNaAvfmznP95VgBoGG7nQtHku5x93y73GzPoE05mtnijpNL+9YWmTPLOY6s32T71Nn0C026ASeNNsVNAmlviLqxm55mXwND0+zywvE+dynZgQ47ptZnV9rHo+rlLamu/TZNRyJeSuXgMLTVjcv0JHte9JeCjdoVj5Gut+fh4Xa3rbkzZfoMzLQpo83LX7IPQFVJB+2+Gf75FAAi4qavSdq+p8f6M6ZtkpfR2DvXfmT0U+7jPREkO9wxRPfYON272T1fv3wlsPgv+JmhrHFDVSIiIgJgJkFEBDMJyhcnQVQqvCJERERERET7F9qgvBCKtEz3PiW5IiQiXxSR50XkORH5pYjMHvWzG0VknYisEZELSzE+IiIiIiKqbqW6IvRVVf0cAIjIXwL4GwAfEZFjAFwB4FgAswE8LCJHqKpNXq1S2b12yeFIi7d8dcb+Oup32FzhRm/Z63i/XWq1d6EdQ3Kam4seXzXJjmlRv2nLXmqXA6fakV79snPcc9VZps+UpdvsDXftcQ4lapcgDslOa3eOU6221ic+YF8rw5PdfPXWHz6e1+NR9Uq/2ukc67mvM32ifW7KT2TIpgBFh228Nex02/rn2Lq1VJP9TjLR434rOjTVvl1P/Ta3Aqhl2UA9UGxOx5i3k277/i1T7HYX0SH3OD5gz83RYfdzRcP6OqS8jyx+3TEALPwkz7sVhzVCE0dVR2900ARg37O+DMBdqjqsqhsArANwerHHR0REREQHx58EEZW7ktUIicjNAN4PoAfA+bnmDgCjK+Y6c22h218N4GoAqAeLVqlyMHapUjF2qRIxbokOnRapRkirZUNVEXlYRF4M/HcZAKjqTao6F8AdAK7bd7PAXQV/I6q6RFVPVdVT47CpBkTlirFLlYqxS5WIcUtE+1OwK0KqekGeXX8E4OcAPo+RK0BzR/1sDoAtEzy0ipPZ3eUcR9tbTZ9swv4pxZtVp5rsPDNmt8tAytu/Ipuwc9FFt9hceO4nTaNN+Z+XTdv2tx1h2mY84NW3SeD7kObA3kLDbi1bdMjWCKVa7Oui9fmdznHaPhrVuPiaTtPW+/rDneOmTfbkqaGv8iJuY9NWWzCRbLP7rKTr3dtNfmK77RN4OKpt2R07TVtk1gy3Qex34LE+u8HV0Gw3zy2asp8FYl7tcawfSHvpcfN+3m3HaVqo7LFGaOKIyOJRh5cCWJ379/0ArhCRhIgsALAYwFPFHh8RERERHRx/EkRU7kpVI/RlETkSI18KbALwEQBQ1ZUicg+AlzDyZde1tbRiHBERERFR2SlW7U6Ra4RKMhFS1Xcc4Gc3A7i5iMMpe5EmNy0oPSW/r1wadrqpQ+mETR1K9IRu6S6ROedmu0QrL2vTWAZPOsw2hs5vrWPHc7a53rQlJ7tt/R02vaj93+0SrUwnorGkD7dr9KQb3BSgnqOa0bbWXYbYT0cGAPVTPQNpH34aHAA03/2E22e/oyX6g8iUyaYtNW+qcxzrttttaHzsbQsycRun6n2KjA4Bs/7R/czAzwtUzkq2ahwREVGl8idBRGQnQVRFtFhT2uJOnUtSI0RERERERFRKnAgREREREVHNYWpcBcj0uIU82ZjN040k7aXE6G+WO8fteT5evv2IDiT+y2dM255bzzBtk9a0OMeRXy83fUL8kxfjlibM4ytM08DZZzvHza/at89Q7IZW1PZxoS2aKOmt20zb0BnzneNENPAZ4rFnTZtfVWyrjIG2gxkcVbRibXSqtbB8NhERERERUSnxihAREREREe1fsRZL4BUhIiIiIiKiwuJEiIjKSvb1J5V6CERj2n5aQ6mHQERUNJrVov1XTFWRGnfEKQvx0DM/LvUwiAAA4m+geACMXQAfLfUACDi4uAUYu1Q+eM6lSnWw5136AxG5CMA3AEQBfE9Vvzye+6mKiRARERERERVI0WqExn4cEYkCuA3AnwDoBPC0iNyvqi8d7MNxIkRERERERPujq3RZUR4ojRSAkf85gNMBrFPV9QAgIncBuAzAQU+EpNjrdReCiOwEsCl3OBXArhIOp1T4vMvHfFWdlk/HUbFbjs+jWGr1uZfb8847bgHGLvi8y8l4zrlAeT6XYuDzLh8Hdd4tFRHpADCziA/5egBXjjpeoqpLRo3nnQAuUtU/zx1fBeAMVb3uYB+oKq4IjQ4iEXlGVU8t5XhKgc+7Mu2L3Up/HoeiVp97pT/vWo9dPu/KxM8LfN6lHkclUtXNADYX8SGXAfj6AX4eKq4a15UdrhpHRERERESVohPA3FHHcwBsGc8dcSJERERERESV4mkAi0VkgYjUAbgCwP3juaOqSI3zLBm7S1Xi865s1fI8xqNWn3u1PO9qeR4Hi8+78lXTczkYfN5U0VQ1LSLXAXgQI8tnf19VV47nvqpisQQiIiIiIqKDwdQ4IiIiIiKqOZwIERERERFRzamaiZCIXCQia0RknYjcUOrxFIqIzBWR/xWRVSKyUkSuz7VPFpGHROTl3P9PKvVYC0FEoiKyXER+ljuu+OfN2K38v2E+qi12ayVugdqO3WqLW6B2YreW4xaoztiliVcVEyERiQK4DcCbARwD4L0ickxpR1UwaQB/papHAzgTwLW553oDgEdUdTGAR3LH1eh6AKtGHVf082bsMnYr8XnXWNwCtR27VRO3QM3Fbi3HLVBlsUuFURUTIQCnA1inqutVNQngLgCXlXhMBaGqW1X12dy/+zDyIu/AyPO9PdftdgCXl2aEhSMicwBcDOB7o5or/Xkzdiv/bzimKozdmolboHZjtwrjFqih2K3VuAWqNnapAKplItQB4LVRx525tqomIocBOAnAkwBmqOpWYOTkB2B66UZWMP8E4NMAsqPaKv15M3Yr/2+Yj2qL3ZqMW6DmYrfa4hao0ditsbgFqjN2qQCqZSIkgbaqXhdcRJoB3AvgY6raW+rxFJqIXAJgh6ouK/VYJhhjt8pVaezWXNwCtRW7VRq3QA3Gbi3FLVDVsUsFUC0bqnYCmDvqeA6ALSUaS8GJSBwjJ7U7VPW/cs3bRWSWqm4VkVkAdpRuhAVxDoBLReQtAOoBtIrID1H5z5uxW/l/w7FUY+zWVNwCNRm71Ri3QI3Fbg3GLVC9sUsFUC1XhJ4GsFhEFohIHYArANxf4jEVhIgIgH8FsEpVvzbqR/cD+LPcv/8MwE+LPbZCUtUbVXWOqh6Gkb/vo6r6PlT+82bsVv7f8ICqNHZrJm6B2ozdKo1boIZitxbjFqjq2KUCqIorQqqaFpHrADwIIArg+6q6ssTDKpRzAFwF4AUReS7X9lkAXwZwj4h8CMCrAN5VovEVW0U/b8YuY7cSn3eNxS3A2B2top9zjcUu49ZVq8+bDkBUqzo1loiIiIiIyKiW1DgiIiIiIqK8cSJEREREREQ1hxMhIiIiIiKqOZwIERERERFRzeFEiIiIiIiIag4nQhVGRPoLcJ+XisgNuX9fLiLHjOM+HhORUyd6bFQ9GLtUqRi7VIkYt0Rj40SIoKr3q+qXc4eXAzjoExtRKTB2qVIxdqkSMW6p2nAiVKFkxFdF5EUReUFE3pNrf0Pu25b/FJHVInJHbndpiMhbcm2/FZFvisjPcu0fEJFbReRsAJcC+KqIPCcii0Z/cyMiU0VkY+7fDSJyl4g8LyJ3A2gYNbY3icjjIvKsiPxYRJqL+9uhcsbYpUrF2KVKxLgl2r9YqQdA4/Z2AK8DcCKAqQCeFpFf5352EoBjAWwB8DsA54jIMwC+A+D1qrpBRO7071BVl4rI/QB+pqr/CQC5c2LINQD2quoJInICgGdz/acC+GsAF6jqgIh8BsAnAHxhIp40VQXGLlUqxi5VIsYt0X5wIlS5zgVwp6pmAGwXkV8BOA1AL4CnVLUTAETkOQCHAegHsF5VN+RufyeAqw/h8V8P4JsAoKrPi8jzufYzMXKp/He5k2IdgMcP4XGo+jB2qVIxdqkSMW6J9oMTocq1369eAAyP+ncGI3/nA/U/kDT+kEJZ7/1M9zOuh1T1veN8PKp+jF2qVIxdqkSMW6L9YI1Q5fo1gPeISFREpmHkG5enDtB/NYCFInJY7vg9++nXB6Bl1PFGAKfk/v1O7/GvBAAROQ7ACbn2JzByaf3w3M8aReSIPJ4P1Q7GLlUqxi5VIsYt0X5wIlS5fgLgeQArADwK4NOqum1/nVV1EMBHAfyPiPwWwHYAPYGudwH4lIgsF5FFAP4RwDUishQjucX7fAtAc+4S96eRO6mq6k4AHwBwZ+5nTwA46lCeKFUdxi5VKsYuVSLGLdF+iGroaiVVIxFpVtX+3KowtwF4WVW/XupxEY2FsUuVirFLlYhxS7WCV4Rqy4dzxZArAbRhZFUYokrA2KVKxdilSsS4pZrAK0JERERERFRzeEWIiIiIiIhqDidCRERERERUczgRIiIiIiKimsOJEBERERER1RxOhIiIiIiIqOb8f7HW++mOGcZpAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 936x648 with 13 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "bias_removed_skill.groupby(\"init.season\").mean().to_array().plot(robust=True,col=\"season\",row=\"skill\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "b945bb05-05af-473d-97b9-9a8df4b41cc4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.plot.facetgrid.FacetGrid at 0x7f34123a57f0>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x432 with 9 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# absolute skill improvement over reference in blue\n",
    "bias_removed_skill_seas = bias_removed_skill.groupby(\"init.season\").mean().to_array()\n",
    "(bias_removed_skill_seas.sel(skill=\"initialized\") - bias_removed_skill_seas.drop_sel(skill=\"initialized\")).plot(robust=True,col=\"season\",row=\"skill\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "effb5a40-3b08-4db6-b346-6dce13341c2e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.plot.facetgrid.FacetGrid at 0x7f341201e580>"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x432 with 9 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# skill improvement factor\n",
    "(bias_removed_skill_seas.drop_sel(skill=\"initialized\")/bias_removed_skill_seas.sel(skill=\"initialized\")).plot(robust=True,col=\"season\",row=\"skill\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7036c41c-695a-42f9-9fab-d9c3f692941c",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.8.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}