Seasonal Bias remo(Noresm-chirps).ipynb

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    "#writing some conda package or module\n",
    "#!pip install netCDF4\n",
    "%matplotlib inline\n",
    "import warnings\n",
    "from netCDF4 import Dataset\n",
    "import numpy as np\n",
    "import xarray as xr\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "#!pip install cartopy\n",
    "import cartopy.feature as cfeature\n",
    "import cartopy.crs as ccrs\n",
    "import cartopy.mpl.ticker as cticker\n",
    "from cartopy.util import add_cyclic_point"
   ]
  },
  {
   "cell_type": "code",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (latitude: 2000, longitude: 7200, time: 496)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 -49.97 -49.92 -49.88 ... 49.87 49.92 49.97\n",
       "  * longitude  (longitude) float32 -180.0 -179.9 -179.9 ... 179.9 179.9 180.0\n",
       "  * time       (time) datetime64[ns] 1981-01-01 1981-02-01 ... 2022-04-01\n",
       "Data variables:\n",
       "    precip     (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/15)\n",
       "    Conventions:       CF-1.6\n",
       "    title:             CHIRPS Version 2.0\n",
       "    history:           created by Climate Hazards Group\n",
       "    version:           Version 2.0\n",
       "    date_created:      2022-05-16\n",
       "    creator_name:      Pete Peterson\n",
       "    ...                ...\n",
       "    reference:         Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros,...\n",
       "    comments:           time variable denotes the first day of the given month.\n",
       "    acknowledgements:  The Climate Hazards Group InfraRed Precipitation with ...\n",
       "    ftp_url:           ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CH...\n",
       "    website:           http://chg.geog.ucsb.edu/data/chirps/index.html\n",
       "    faq:               http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ</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-f06aa158-3e71-4050-8f03-66e05eb56ae7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f06aa158-3e71-4050-8f03-66e05eb56ae7' 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>: 2000</li><li><span class='xr-has-index'>longitude</span>: 7200</li><li><span class='xr-has-index'>time</span>: 496</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-962cccf3-8c40-4126-bd63-71d1475dc6d8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-962cccf3-8c40-4126-bd63-71d1475dc6d8' 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'>float32</div><div class='xr-var-preview xr-preview'>-49.97 -49.92 ... 49.92 49.97</div><input id='attrs-0d4bd468-5511-4ce9-80e9-993fc262625e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0d4bd468-5511-4ce9-80e9-993fc262625e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c54561bb-976f-4bb6-a7d9-08a08da0f4d5' class='xr-var-data-in' type='checkbox'><label for='data-c54561bb-976f-4bb6-a7d9-08a08da0f4d5' 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>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-49.975   , -49.925   , -49.875   , ...,  49.874992,  49.924995,\n",
       "        49.975   ], dtype=float32)</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'>float32</div><div class='xr-var-preview xr-preview'>-180.0 -179.9 ... 179.9 180.0</div><input id='attrs-79b4b2e4-6847-487a-bc7c-151356568c25' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-79b4b2e4-6847-487a-bc7c-151356568c25' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5e69637c-de0f-48e8-b816-d6b9c276661d' class='xr-var-data-in' type='checkbox'><label for='data-5e69637c-de0f-48e8-b816-d6b9c276661d' 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>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-179.975  , -179.925  , -179.875  , ...,  179.875  ,  179.92499,\n",
       "        179.975  ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-01-01 ... 2022-04-01</div><input id='attrs-ad669e43-22a9-4374-bd72-5b797d943671' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ad669e43-22a9-4374-bd72-5b797d943671' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa36fe00-6be0-4928-8fac-a4ca08afd726' class='xr-var-data-in' type='checkbox'><label for='data-fa36fe00-6be0-4928-8fac-a4ca08afd726' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-01-01T00:00:00.000000000&#x27;, &#x27;1981-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1981-03-01T00:00:00.000000000&#x27;, ..., &#x27;2022-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2022-03-01T00:00:00.000000000&#x27;, &#x27;2022-04-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-aad60b89-3af0-4763-8ed1-e72dd6f35691' class='xr-section-summary-in' type='checkbox'  checked><label for='section-aad60b89-3af0-4763-8ed1-e72dd6f35691' 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>precip</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'>...</div><input id='attrs-ea6bc453-9ba7-4cdb-b614-8a3885baa1bd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ea6bc453-9ba7-4cdb-b614-8a3885baa1bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-246041f5-2980-4b18-84b9-ea9517f106b7' class='xr-var-data-in' type='checkbox'><label for='data-246041f5-2980-4b18-84b9-ea9517f106b7' 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>mm/month</dd><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>time_step :</span></dt><dd>month</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>[7142400000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-94b52a9e-57c7-46a7-ad3e-8f04168dd2ce' class='xr-section-summary-in' type='checkbox'  ><label for='section-94b52a9e-57c7-46a7-ad3e-8f04168dd2ce' class='xr-section-summary' >Attributes: <span>(15)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>title :</span></dt><dd>CHIRPS Version 2.0</dd><dt><span>history :</span></dt><dd>created by Climate Hazards Group</dd><dt><span>version :</span></dt><dd>Version 2.0</dd><dt><span>date_created :</span></dt><dd>2022-05-16</dd><dt><span>creator_name :</span></dt><dd>Pete Peterson</dd><dt><span>creator_email :</span></dt><dd>pete@geog.ucsb.edu</dd><dt><span>institution :</span></dt><dd>Climate Hazards Group.  University of California at Santa Barbara</dd><dt><span>documentation :</span></dt><dd>http://pubs.usgs.gov/ds/832/</dd><dt><span>reference :</span></dt><dd>Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros, D.H., Verdin, J.P., Rowland, J.D., Romero, B.E., Husak, G.J., Michaelsen, J.C., and Verdin, A.P., 2014, A quasi-global precipitation time series for drought monitoring: U.S. Geological Survey Data Series 832, 4 p., http://dx.doi.org/110.3133/ds832. </dd><dt><span>comments :</span></dt><dd> time variable denotes the first day of the given month.</dd><dt><span>acknowledgements :</span></dt><dd>The Climate Hazards Group InfraRed Precipitation with Stations development process was carried out through U.S. Geological Survey (USGS) cooperative agreement #G09AC000001 &quot;Monitoring and Forecasting Climate, Water and Land Use for Food Production in the Developing World&quot; with funding from: U.S. Agency for International Development Office of Food for Peace, award #AID-FFP-P-10-00002 for &quot;Famine Early Warning Systems Network Support,&quot; the National Aeronautics and Space Administration Applied Sciences Program, Decisions award #NN10AN26I for &quot;A Land Data Assimilation System for Famine Early Warning,&quot; SERVIR award #NNH12AU22I for &quot;A Long Time-Series Indicator of Agricultural Drought for the Greater Horn of Africa,&quot; The National Oceanic and Atmospheric Administration award NA11OAR4310151 for &quot;A Global Standardized Precipitation Index supporting the US Drought Portal and the Famine Early Warning System Network,&quot; and the USGS Land Change Science Program.</dd><dt><span>ftp_url :</span></dt><dd>ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CHIRPS-latest/</dd><dt><span>website :</span></dt><dd>http://chg.geog.ucsb.edu/data/chirps/index.html</dd><dt><span>faq :</span></dt><dd>http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ</dd></dl></div></li></ul></div></div>"
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       "<xarray.Dataset>\n",
       "Dimensions:    (latitude: 2000, longitude: 7200, time: 496)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 -49.97 -49.92 -49.88 ... 49.87 49.92 49.97\n",
       "  * longitude  (longitude) float32 -180.0 -179.9 -179.9 ... 179.9 179.9 180.0\n",
       "  * time       (time) datetime64[ns] 1981-01-01 1981-02-01 ... 2022-04-01\n",
       "Data variables:\n",
       "    precip     (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/15)\n",
       "    Conventions:       CF-1.6\n",
       "    title:             CHIRPS Version 2.0\n",
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       "    version:           Version 2.0\n",
       "    date_created:      2022-05-16\n",
       "    creator_name:      Pete Peterson\n",
       "    ...                ...\n",
       "    reference:         Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros,...\n",
       "    comments:           time variable denotes the first day of the given month.\n",
       "    acknowledgements:  The Climate Hazards Group InfraRed Precipitation with ...\n",
       "    ftp_url:           ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CH...\n",
       "    website:           http://chg.geog.ucsb.edu/data/chirps/index.html\n",
       "    faq:               http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ"
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     },
     "execution_count": 2,
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   "source": [
    "data = xr.open_dataset('/home/mkibria/Academic/pr_of_thesis/observation/chirps/chirps-v2.0.monthly.nc')\n",
    " \n",
    "\n",
    "data"
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   "cell_type": "code",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (latitude: 2000, longitude: 7200, time: 299)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 -49.97 -49.92 -49.88 ... 49.87 49.92 49.97\n",
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       "  * time       (time) datetime64[ns] 1981-02-01 1981-03-01 ... 2005-12-01\n",
       "Data variables:\n",
       "    precip     (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/15)\n",
       "    Conventions:       CF-1.6\n",
       "    title:             CHIRPS Version 2.0\n",
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       "    version:           Version 2.0\n",
       "    date_created:      2022-05-16\n",
       "    creator_name:      Pete Peterson\n",
       "    ...                ...\n",
       "    reference:         Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros,...\n",
       "    comments:           time variable denotes the first day of the given month.\n",
       "    acknowledgements:  The Climate Hazards Group InfraRed Precipitation with ...\n",
       "    ftp_url:           ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CH...\n",
       "    website:           http://chg.geog.ucsb.edu/data/chirps/index.html\n",
       "    faq:               http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ</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-cace2bbe-934a-4ad8-a567-0faa4fc3e509' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-cace2bbe-934a-4ad8-a567-0faa4fc3e509' 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>: 2000</li><li><span class='xr-has-index'>longitude</span>: 7200</li><li><span class='xr-has-index'>time</span>: 299</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-7e0bd86a-47c3-43f8-a82c-11fada4fb659' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7e0bd86a-47c3-43f8-a82c-11fada4fb659' 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'>float32</div><div class='xr-var-preview xr-preview'>-49.97 -49.92 ... 49.92 49.97</div><input id='attrs-eabeeb5d-1bdd-4f72-8927-60d43b189222' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eabeeb5d-1bdd-4f72-8927-60d43b189222' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45f737eb-042a-4fb0-85b9-fed75f5b6de5' class='xr-var-data-in' type='checkbox'><label for='data-45f737eb-042a-4fb0-85b9-fed75f5b6de5' 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>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-49.975   , -49.925   , -49.875   , ...,  49.874992,  49.924995,\n",
       "        49.975   ], dtype=float32)</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'>float32</div><div class='xr-var-preview xr-preview'>-180.0 -179.9 ... 179.9 180.0</div><input id='attrs-60425e79-d623-4f1d-b122-894d52029a77' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-60425e79-d623-4f1d-b122-894d52029a77' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-59574e5c-5589-4a86-a53a-df3191a9f7ed' class='xr-var-data-in' type='checkbox'><label for='data-59574e5c-5589-4a86-a53a-df3191a9f7ed' 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>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-179.975  , -179.925  , -179.875  , ...,  179.875  ,  179.92499,\n",
       "        179.975  ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-02-01 ... 2005-12-01</div><input id='attrs-12002e2a-c773-4072-aa13-2e0448c8d1dc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-12002e2a-c773-4072-aa13-2e0448c8d1dc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-40016049-18ae-47f4-a2bc-082546efa2bc' class='xr-var-data-in' type='checkbox'><label for='data-40016049-18ae-47f4-a2bc-082546efa2bc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-02-01T00:00:00.000000000&#x27;, &#x27;1981-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1981-04-01T00:00:00.000000000&#x27;, ..., &#x27;2005-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-11-01T00:00:00.000000000&#x27;, &#x27;2005-12-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b8e1d66b-ece3-45d2-93e8-de161facce87' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b8e1d66b-ece3-45d2-93e8-de161facce87' 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>precip</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'>...</div><input id='attrs-9f62cb07-a6f1-4f5f-bc29-8c54b73adcbf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f62cb07-a6f1-4f5f-bc29-8c54b73adcbf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee1c3886-233f-48c9-a365-a7c2cc934471' class='xr-var-data-in' type='checkbox'><label for='data-ee1c3886-233f-48c9-a365-a7c2cc934471' 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>mm/month</dd><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>time_step :</span></dt><dd>month</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>[4305600000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6b04b35d-e3ab-4a89-a98e-323283380cc7' class='xr-section-summary-in' type='checkbox'  ><label for='section-6b04b35d-e3ab-4a89-a98e-323283380cc7' class='xr-section-summary' >Attributes: <span>(15)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>title :</span></dt><dd>CHIRPS Version 2.0</dd><dt><span>history :</span></dt><dd>created by Climate Hazards Group</dd><dt><span>version :</span></dt><dd>Version 2.0</dd><dt><span>date_created :</span></dt><dd>2022-05-16</dd><dt><span>creator_name :</span></dt><dd>Pete Peterson</dd><dt><span>creator_email :</span></dt><dd>pete@geog.ucsb.edu</dd><dt><span>institution :</span></dt><dd>Climate Hazards Group.  University of California at Santa Barbara</dd><dt><span>documentation :</span></dt><dd>http://pubs.usgs.gov/ds/832/</dd><dt><span>reference :</span></dt><dd>Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros, D.H., Verdin, J.P., Rowland, J.D., Romero, B.E., Husak, G.J., Michaelsen, J.C., and Verdin, A.P., 2014, A quasi-global precipitation time series for drought monitoring: U.S. Geological Survey Data Series 832, 4 p., http://dx.doi.org/110.3133/ds832. </dd><dt><span>comments :</span></dt><dd> time variable denotes the first day of the given month.</dd><dt><span>acknowledgements :</span></dt><dd>The Climate Hazards Group InfraRed Precipitation with Stations development process was carried out through U.S. Geological Survey (USGS) cooperative agreement #G09AC000001 &quot;Monitoring and Forecasting Climate, Water and Land Use for Food Production in the Developing World&quot; with funding from: U.S. Agency for International Development Office of Food for Peace, award #AID-FFP-P-10-00002 for &quot;Famine Early Warning Systems Network Support,&quot; the National Aeronautics and Space Administration Applied Sciences Program, Decisions award #NN10AN26I for &quot;A Land Data Assimilation System for Famine Early Warning,&quot; SERVIR award #NNH12AU22I for &quot;A Long Time-Series Indicator of Agricultural Drought for the Greater Horn of Africa,&quot; The National Oceanic and Atmospheric Administration award NA11OAR4310151 for &quot;A Global Standardized Precipitation Index supporting the US Drought Portal and the Famine Early Warning System Network,&quot; and the USGS Land Change Science Program.</dd><dt><span>ftp_url :</span></dt><dd>ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CHIRPS-latest/</dd><dt><span>website :</span></dt><dd>http://chg.geog.ucsb.edu/data/chirps/index.html</dd><dt><span>faq :</span></dt><dd>http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (latitude: 2000, longitude: 7200, time: 299)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 -49.97 -49.92 -49.88 ... 49.87 49.92 49.97\n",
       "  * longitude  (longitude) float32 -180.0 -179.9 -179.9 ... 179.9 179.9 180.0\n",
       "  * time       (time) datetime64[ns] 1981-02-01 1981-03-01 ... 2005-12-01\n",
       "Data variables:\n",
       "    precip     (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/15)\n",
       "    Conventions:       CF-1.6\n",
       "    title:             CHIRPS Version 2.0\n",
       "    history:           created by Climate Hazards Group\n",
       "    version:           Version 2.0\n",
       "    date_created:      2022-05-16\n",
       "    creator_name:      Pete Peterson\n",
       "    ...                ...\n",
       "    reference:         Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros,...\n",
       "    comments:           time variable denotes the first day of the given month.\n",
       "    acknowledgements:  The Climate Hazards Group InfraRed Precipitation with ...\n",
       "    ftp_url:           ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CH...\n",
       "    website:           http://chg.geog.ucsb.edu/data/chirps/index.html\n",
       "    faq:               http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to select the year from 1980 to 2015\n",
    "data = data.sel(time=slice('1981-01-16T12:00:00.000000000','2005-12-16T00:00:00.000000000'))\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "10070b93",
   "metadata": {},
   "outputs": [
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       ".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:    (latitude: 2000, longitude: 7200, time: 100)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 -49.97 -49.92 -49.88 ... 49.87 49.92 49.97\n",
       "  * longitude  (longitude) float32 -180.0 -179.9 -179.9 ... 179.9 179.9 180.0\n",
       "  * time       (time) datetime64[ns] 1981-06-01 1981-07-01 ... 2005-09-01\n",
       "Data variables:\n",
       "    precip     (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/15)\n",
       "    Conventions:       CF-1.6\n",
       "    title:             CHIRPS Version 2.0\n",
       "    history:           created by Climate Hazards Group\n",
       "    version:           Version 2.0\n",
       "    date_created:      2022-05-16\n",
       "    creator_name:      Pete Peterson\n",
       "    ...                ...\n",
       "    reference:         Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros,...\n",
       "    comments:           time variable denotes the first day of the given month.\n",
       "    acknowledgements:  The Climate Hazards Group InfraRed Precipitation with ...\n",
       "    ftp_url:           ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CH...\n",
       "    website:           http://chg.geog.ucsb.edu/data/chirps/index.html\n",
       "    faq:               http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ</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-26566d7a-9747-4ddb-b125-a5b1aab38f59' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-26566d7a-9747-4ddb-b125-a5b1aab38f59' 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>: 2000</li><li><span class='xr-has-index'>longitude</span>: 7200</li><li><span class='xr-has-index'>time</span>: 100</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-cc19fc25-fbdf-4a02-9c8c-9749eace7bea' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cc19fc25-fbdf-4a02-9c8c-9749eace7bea' 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'>float32</div><div class='xr-var-preview xr-preview'>-49.97 -49.92 ... 49.92 49.97</div><input id='attrs-5de5ac63-9852-462d-b479-16600c3e3c19' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5de5ac63-9852-462d-b479-16600c3e3c19' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0110d756-57e8-4d4f-89b2-49a33ad47ff3' class='xr-var-data-in' type='checkbox'><label for='data-0110d756-57e8-4d4f-89b2-49a33ad47ff3' 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>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-49.975   , -49.925   , -49.875   , ...,  49.874992,  49.924995,\n",
       "        49.975   ], dtype=float32)</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'>float32</div><div class='xr-var-preview xr-preview'>-180.0 -179.9 ... 179.9 180.0</div><input id='attrs-9384cb2a-70d2-424a-b709-d5bdb37d68d1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9384cb2a-70d2-424a-b709-d5bdb37d68d1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-70914575-3b58-437e-bad4-839064ffb15d' class='xr-var-data-in' type='checkbox'><label for='data-70914575-3b58-437e-bad4-839064ffb15d' 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>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-179.975  , -179.925  , -179.875  , ...,  179.875  ,  179.92499,\n",
       "        179.975  ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-06-01 ... 2005-09-01</div><input id='attrs-bc63edb5-3a19-4e91-a3bb-2a2bda5424be' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bc63edb5-3a19-4e91-a3bb-2a2bda5424be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e67237e2-690c-4e22-995b-10cfbacfcef3' class='xr-var-data-in' type='checkbox'><label for='data-e67237e2-690c-4e22-995b-10cfbacfcef3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-06-01T00:00:00.000000000&#x27;, &#x27;1981-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1981-08-01T00:00:00.000000000&#x27;, &#x27;1981-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1982-06-01T00:00:00.000000000&#x27;, &#x27;1982-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1982-08-01T00:00:00.000000000&#x27;, &#x27;1982-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1983-06-01T00:00:00.000000000&#x27;, &#x27;1983-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1983-08-01T00:00:00.000000000&#x27;, &#x27;1983-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1984-06-01T00:00:00.000000000&#x27;, &#x27;1984-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1984-08-01T00:00:00.000000000&#x27;, &#x27;1984-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-06-01T00:00:00.000000000&#x27;, &#x27;1985-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-08-01T00:00:00.000000000&#x27;, &#x27;1985-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-06-01T00:00:00.000000000&#x27;, &#x27;1986-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-08-01T00:00:00.000000000&#x27;, &#x27;1986-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1987-06-01T00:00:00.000000000&#x27;, &#x27;1987-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1987-08-01T00:00:00.000000000&#x27;, &#x27;1987-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1988-06-01T00:00:00.000000000&#x27;, &#x27;1988-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1988-08-01T00:00:00.000000000&#x27;, &#x27;1988-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1989-06-01T00:00:00.000000000&#x27;, &#x27;1989-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1989-08-01T00:00:00.000000000&#x27;, &#x27;1989-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1990-06-01T00:00:00.000000000&#x27;, &#x27;1990-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1990-08-01T00:00:00.000000000&#x27;, &#x27;1990-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1991-06-01T00:00:00.000000000&#x27;, &#x27;1991-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1991-08-01T00:00:00.000000000&#x27;, &#x27;1991-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1992-06-01T00:00:00.000000000&#x27;, &#x27;1992-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1992-08-01T00:00:00.000000000&#x27;, &#x27;1992-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-06-01T00:00:00.000000000&#x27;, &#x27;1993-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-08-01T00:00:00.000000000&#x27;, &#x27;1993-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1994-06-01T00:00:00.000000000&#x27;, &#x27;1994-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1994-08-01T00:00:00.000000000&#x27;, &#x27;1994-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1995-06-01T00:00:00.000000000&#x27;, &#x27;1995-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1995-08-01T00:00:00.000000000&#x27;, &#x27;1995-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1996-06-01T00:00:00.000000000&#x27;, &#x27;1996-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1996-08-01T00:00:00.000000000&#x27;, &#x27;1996-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1997-06-01T00:00:00.000000000&#x27;, &#x27;1997-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1997-08-01T00:00:00.000000000&#x27;, &#x27;1997-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-06-01T00:00:00.000000000&#x27;, &#x27;1998-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-01T00:00:00.000000000&#x27;, &#x27;1998-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-01T00:00:00.000000000&#x27;, &#x27;1999-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-01T00:00:00.000000000&#x27;, &#x27;1999-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-01T00:00:00.000000000&#x27;, &#x27;2000-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-01T00:00:00.000000000&#x27;, &#x27;2000-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-01T00:00:00.000000000&#x27;, &#x27;2001-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-01T00:00:00.000000000&#x27;, &#x27;2001-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-01T00:00:00.000000000&#x27;, &#x27;2002-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-01T00:00:00.000000000&#x27;, &#x27;2002-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-01T00:00:00.000000000&#x27;, &#x27;2003-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-01T00:00:00.000000000&#x27;, &#x27;2003-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-01T00:00:00.000000000&#x27;, &#x27;2004-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-01T00:00:00.000000000&#x27;, &#x27;2004-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-01T00:00:00.000000000&#x27;, &#x27;2005-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-01T00:00:00.000000000&#x27;, &#x27;2005-09-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-daa39660-52f7-4ba0-8910-a537795c9aa4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-daa39660-52f7-4ba0-8910-a537795c9aa4' 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>precip</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'>...</div><input id='attrs-372df377-7a6e-4fe1-8666-f3d9a6ed7d58' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-372df377-7a6e-4fe1-8666-f3d9a6ed7d58' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-08bb3cde-acb0-4103-a75a-48eeb963b0f6' class='xr-var-data-in' type='checkbox'><label for='data-08bb3cde-acb0-4103-a75a-48eeb963b0f6' 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>mm/month</dd><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>time_step :</span></dt><dd>month</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>[1440000000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2c823744-69a4-4292-b466-1bf615b25ed2' class='xr-section-summary-in' type='checkbox'  ><label for='section-2c823744-69a4-4292-b466-1bf615b25ed2' class='xr-section-summary' >Attributes: <span>(15)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>title :</span></dt><dd>CHIRPS Version 2.0</dd><dt><span>history :</span></dt><dd>created by Climate Hazards Group</dd><dt><span>version :</span></dt><dd>Version 2.0</dd><dt><span>date_created :</span></dt><dd>2022-05-16</dd><dt><span>creator_name :</span></dt><dd>Pete Peterson</dd><dt><span>creator_email :</span></dt><dd>pete@geog.ucsb.edu</dd><dt><span>institution :</span></dt><dd>Climate Hazards Group.  University of California at Santa Barbara</dd><dt><span>documentation :</span></dt><dd>http://pubs.usgs.gov/ds/832/</dd><dt><span>reference :</span></dt><dd>Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros, D.H., Verdin, J.P., Rowland, J.D., Romero, B.E., Husak, G.J., Michaelsen, J.C., and Verdin, A.P., 2014, A quasi-global precipitation time series for drought monitoring: U.S. Geological Survey Data Series 832, 4 p., http://dx.doi.org/110.3133/ds832. </dd><dt><span>comments :</span></dt><dd> time variable denotes the first day of the given month.</dd><dt><span>acknowledgements :</span></dt><dd>The Climate Hazards Group InfraRed Precipitation with Stations development process was carried out through U.S. Geological Survey (USGS) cooperative agreement #G09AC000001 &quot;Monitoring and Forecasting Climate, Water and Land Use for Food Production in the Developing World&quot; with funding from: U.S. Agency for International Development Office of Food for Peace, award #AID-FFP-P-10-00002 for &quot;Famine Early Warning Systems Network Support,&quot; the National Aeronautics and Space Administration Applied Sciences Program, Decisions award #NN10AN26I for &quot;A Land Data Assimilation System for Famine Early Warning,&quot; SERVIR award #NNH12AU22I for &quot;A Long Time-Series Indicator of Agricultural Drought for the Greater Horn of Africa,&quot; The National Oceanic and Atmospheric Administration award NA11OAR4310151 for &quot;A Global Standardized Precipitation Index supporting the US Drought Portal and the Famine Early Warning System Network,&quot; and the USGS Land Change Science Program.</dd><dt><span>ftp_url :</span></dt><dd>ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CHIRPS-latest/</dd><dt><span>website :</span></dt><dd>http://chg.geog.ucsb.edu/data/chirps/index.html</dd><dt><span>faq :</span></dt><dd>http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (latitude: 2000, longitude: 7200, time: 100)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 -49.97 -49.92 -49.88 ... 49.87 49.92 49.97\n",
       "  * longitude  (longitude) float32 -180.0 -179.9 -179.9 ... 179.9 179.9 180.0\n",
       "  * time       (time) datetime64[ns] 1981-06-01 1981-07-01 ... 2005-09-01\n",
       "Data variables:\n",
       "    precip     (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/15)\n",
       "    Conventions:       CF-1.6\n",
       "    title:             CHIRPS Version 2.0\n",
       "    history:           created by Climate Hazards Group\n",
       "    version:           Version 2.0\n",
       "    date_created:      2022-05-16\n",
       "    creator_name:      Pete Peterson\n",
       "    ...                ...\n",
       "    reference:         Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros,...\n",
       "    comments:           time variable denotes the first day of the given month.\n",
       "    acknowledgements:  The Climate Hazards Group InfraRed Precipitation with ...\n",
       "    ftp_url:           ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CH...\n",
       "    website:           http://chg.geog.ucsb.edu/data/chirps/index.html\n",
       "    faq:               http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#selecting only JJAS months\n",
    "\n",
    "def is_jjas(month):\n",
    "    return (month >= 6) & (month <= 9)\n",
    "\n",
    "jjas_data = data.sel(time=is_jjas(data['time.month']))\n",
    "\n",
    "jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "735515f5",
   "metadata": {},
   "outputs": [],
   "source": [
    "#for i in data.latitude.values:\n",
    " #   print(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "fd310367",
   "metadata": {},
   "outputs": [],
   "source": [
    "#for i in data.longitude.values:\n",
    " #   print(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "2a9644bb",
   "metadata": {},
   "outputs": [],
   "source": [
    "#to select the x and y coordinates\n",
    "#jjas_data = jjas_data.sel(longitude=slice(86,94),latitude=slice(18,28))\n",
    "#jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "91600dec",
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 100, latitude: 40, longitude: 32)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-06-01 1981-07-01 ... 2005-09-01\n",
       "  * latitude   (latitude) float64 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88\n",
       "  * longitude  (longitude) float64 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "Data variables:\n",
       "    precip     (time, latitude, longitude) float64 nan nan nan ... 230.4 188.8\n",
       "Attributes: (12/15)\n",
       "    Conventions:       CF-1.6\n",
       "    title:             CHIRPS Version 2.0\n",
       "    history:           created by Climate Hazards Group\n",
       "    version:           Version 2.0\n",
       "    date_created:      2022-05-16\n",
       "    creator_name:      Pete Peterson\n",
       "    ...                ...\n",
       "    reference:         Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros,...\n",
       "    comments:           time variable denotes the first day of the given month.\n",
       "    acknowledgements:  The Climate Hazards Group InfraRed Precipitation with ...\n",
       "    ftp_url:           ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CH...\n",
       "    website:           http://chg.geog.ucsb.edu/data/chirps/index.html\n",
       "    faq:               http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ</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-46d116e1-8b0e-4ff7-a327-f160dbe5ffcf' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-46d116e1-8b0e-4ff7-a327-f160dbe5ffcf' 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>: 100</li><li><span class='xr-has-index'>latitude</span>: 40</li><li><span class='xr-has-index'>longitude</span>: 32</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-45005a31-1f5d-43ca-aa78-5e023f9196a6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-45005a31-1f5d-43ca-aa78-5e023f9196a6' 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'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-06-01 ... 2005-09-01</div><input id='attrs-ac38a056-3e10-4880-9cf8-67b125d945bc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac38a056-3e10-4880-9cf8-67b125d945bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0729e30c-8697-4026-b182-783e4fb8eb1e' class='xr-var-data-in' type='checkbox'><label for='data-0729e30c-8697-4026-b182-783e4fb8eb1e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-06-01T00:00:00.000000000&#x27;, &#x27;1981-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1981-08-01T00:00:00.000000000&#x27;, &#x27;1981-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1982-06-01T00:00:00.000000000&#x27;, &#x27;1982-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1982-08-01T00:00:00.000000000&#x27;, &#x27;1982-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1983-06-01T00:00:00.000000000&#x27;, &#x27;1983-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1983-08-01T00:00:00.000000000&#x27;, &#x27;1983-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1984-06-01T00:00:00.000000000&#x27;, &#x27;1984-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1984-08-01T00:00:00.000000000&#x27;, &#x27;1984-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-06-01T00:00:00.000000000&#x27;, &#x27;1985-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-08-01T00:00:00.000000000&#x27;, &#x27;1985-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-06-01T00:00:00.000000000&#x27;, &#x27;1986-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-08-01T00:00:00.000000000&#x27;, &#x27;1986-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1987-06-01T00:00:00.000000000&#x27;, &#x27;1987-07-01T00:00:00.000000000&#x27;,\n",
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       "       &#x27;1993-06-01T00:00:00.000000000&#x27;, &#x27;1993-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-08-01T00:00:00.000000000&#x27;, &#x27;1993-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1994-06-01T00:00:00.000000000&#x27;, &#x27;1994-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1994-08-01T00:00:00.000000000&#x27;, &#x27;1994-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1995-06-01T00:00:00.000000000&#x27;, &#x27;1995-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1995-08-01T00:00:00.000000000&#x27;, &#x27;1995-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1996-06-01T00:00:00.000000000&#x27;, &#x27;1996-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1996-08-01T00:00:00.000000000&#x27;, &#x27;1996-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1997-06-01T00:00:00.000000000&#x27;, &#x27;1997-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1997-08-01T00:00:00.000000000&#x27;, &#x27;1997-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-06-01T00:00:00.000000000&#x27;, &#x27;1998-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-01T00:00:00.000000000&#x27;, &#x27;1998-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-01T00:00:00.000000000&#x27;, &#x27;1999-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-01T00:00:00.000000000&#x27;, &#x27;1999-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-01T00:00:00.000000000&#x27;, &#x27;2000-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-01T00:00:00.000000000&#x27;, &#x27;2000-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-01T00:00:00.000000000&#x27;, &#x27;2001-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-01T00:00:00.000000000&#x27;, &#x27;2001-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-01T00:00:00.000000000&#x27;, &#x27;2002-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-01T00:00:00.000000000&#x27;, &#x27;2002-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-01T00:00:00.000000000&#x27;, &#x27;2003-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-01T00:00:00.000000000&#x27;, &#x27;2003-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-01T00:00:00.000000000&#x27;, &#x27;2004-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-01T00:00:00.000000000&#x27;, &#x27;2004-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-01T00:00:00.000000000&#x27;, &#x27;2005-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-01T00:00:00.000000000&#x27;, &#x27;2005-09-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-3b85e387-13db-4d42-902c-91e3d42f11f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3b85e387-13db-4d42-902c-91e3d42f11f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b398be67-8553-4f46-94e6-ef5079a4e29f' class='xr-var-data-in' type='checkbox'><label for='data-b398be67-8553-4f46-94e6-ef5079a4e29f' 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>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875])</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'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-89739985-0dba-477c-8023-a23ecf902d01' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-89739985-0dba-477c-8023-a23ecf902d01' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ea60b43-b0c5-4705-be7b-094a5b56a342' class='xr-var-data-in' type='checkbox'><label for='data-3ea60b43-b0c5-4705-be7b-094a5b56a342' 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>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8dea663a-6133-41db-b538-b4f8287d7f8e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8dea663a-6133-41db-b538-b4f8287d7f8e' 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>precip</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 208.5 230.4 188.8</div><input id='attrs-51691671-e0bc-4480-8f1d-588abefdfb4b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-51691671-e0bc-4480-8f1d-588abefdfb4b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2663696e-35e7-4fea-b61c-66d6227a8b9c' class='xr-var-data-in' type='checkbox'><label for='data-2663696e-35e7-4fea-b61c-66d6227a8b9c' 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>mm/month</dd><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>time_step :</span></dt><dd>month</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",
       "        [         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan],\n",
       "        [         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan],\n",
       "        ...,\n",
       "        [133.89678937, 155.46110532, 230.98037671, ..., 275.52331433,\n",
       "         343.28179932, 500.43109134],\n",
       "        [187.11347956, 170.78231768, 248.30453574, ..., 167.09231633,\n",
       "         271.63955418, 400.34378113],\n",
       "        [232.34280392, 195.67346188, 180.9982605 , ..., 257.23327573,\n",
       "         329.25540089, 348.66754128]],\n",
       "\n",
       "       [[         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan],\n",
       "        [         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan],\n",
       "        [         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan],\n",
       "...\n",
       "        [317.91284271, 325.17346201, 361.66577163, ..., 267.84558172,\n",
       "         378.74087531, 505.20745808],\n",
       "        [334.98004176, 357.34854158, 338.02715977, ..., 177.84597788,\n",
       "         306.22396842, 368.7054445 ],\n",
       "        [265.1341246 , 263.09451231, 248.95587134, ..., 265.85815362,\n",
       "         271.34133846, 337.71618649]],\n",
       "\n",
       "       [[         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan],\n",
       "        [         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan],\n",
       "        [         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan],\n",
       "        ...,\n",
       "        [129.80400078, 152.13278171, 168.69747891, ..., 186.04707331,\n",
       "         176.43499766, 214.5176244 ],\n",
       "        [144.49536137, 150.51913425, 171.27456666, ..., 198.60873421,\n",
       "         200.06900025, 184.13995338],\n",
       "        [149.36831655, 139.7335205 , 117.97483809, ..., 208.46441687,\n",
       "         230.43916335, 188.80070483]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bc2fe9bc-8e4b-45f8-a03a-8a7bbd13d7e6' class='xr-section-summary-in' type='checkbox'  ><label for='section-bc2fe9bc-8e4b-45f8-a03a-8a7bbd13d7e6' class='xr-section-summary' >Attributes: <span>(15)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>title :</span></dt><dd>CHIRPS Version 2.0</dd><dt><span>history :</span></dt><dd>created by Climate Hazards Group</dd><dt><span>version :</span></dt><dd>Version 2.0</dd><dt><span>date_created :</span></dt><dd>2022-05-16</dd><dt><span>creator_name :</span></dt><dd>Pete Peterson</dd><dt><span>creator_email :</span></dt><dd>pete@geog.ucsb.edu</dd><dt><span>institution :</span></dt><dd>Climate Hazards Group.  University of California at Santa Barbara</dd><dt><span>documentation :</span></dt><dd>http://pubs.usgs.gov/ds/832/</dd><dt><span>reference :</span></dt><dd>Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros, D.H., Verdin, J.P., Rowland, J.D., Romero, B.E., Husak, G.J., Michaelsen, J.C., and Verdin, A.P., 2014, A quasi-global precipitation time series for drought monitoring: U.S. Geological Survey Data Series 832, 4 p., http://dx.doi.org/110.3133/ds832. </dd><dt><span>comments :</span></dt><dd> time variable denotes the first day of the given month.</dd><dt><span>acknowledgements :</span></dt><dd>The Climate Hazards Group InfraRed Precipitation with Stations development process was carried out through U.S. Geological Survey (USGS) cooperative agreement #G09AC000001 &quot;Monitoring and Forecasting Climate, Water and Land Use for Food Production in the Developing World&quot; with funding from: U.S. Agency for International Development Office of Food for Peace, award #AID-FFP-P-10-00002 for &quot;Famine Early Warning Systems Network Support,&quot; the National Aeronautics and Space Administration Applied Sciences Program, Decisions award #NN10AN26I for &quot;A Land Data Assimilation System for Famine Early Warning,&quot; SERVIR award #NNH12AU22I for &quot;A Long Time-Series Indicator of Agricultural Drought for the Greater Horn of Africa,&quot; The National Oceanic and Atmospheric Administration award NA11OAR4310151 for &quot;A Global Standardized Precipitation Index supporting the US Drought Portal and the Famine Early Warning System Network,&quot; and the USGS Land Change Science Program.</dd><dt><span>ftp_url :</span></dt><dd>ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CHIRPS-latest/</dd><dt><span>website :</span></dt><dd>http://chg.geog.ucsb.edu/data/chirps/index.html</dd><dt><span>faq :</span></dt><dd>http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 100, latitude: 40, longitude: 32)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-06-01 1981-07-01 ... 2005-09-01\n",
       "  * latitude   (latitude) float64 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88\n",
       "  * longitude  (longitude) float64 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "Data variables:\n",
       "    precip     (time, latitude, longitude) float64 nan nan nan ... 230.4 188.8\n",
       "Attributes: (12/15)\n",
       "    Conventions:       CF-1.6\n",
       "    title:             CHIRPS Version 2.0\n",
       "    history:           created by Climate Hazards Group\n",
       "    version:           Version 2.0\n",
       "    date_created:      2022-05-16\n",
       "    creator_name:      Pete Peterson\n",
       "    ...                ...\n",
       "    reference:         Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros,...\n",
       "    comments:           time variable denotes the first day of the given month.\n",
       "    acknowledgements:  The Climate Hazards Group InfraRed Precipitation with ...\n",
       "    ftp_url:           ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CH...\n",
       "    website:           http://chg.geog.ucsb.edu/data/chirps/index.html\n",
       "    faq:               http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#interpolating to new lat and lon\n",
    "\n",
    "new_lon = np.arange(86.125,94,0.25)\n",
    "new_lat = np.arange(18.125,28,0.25)\n",
    "jjas_data = jjas_data.interp(latitude=new_lat,longitude=new_lon)\n",
    "jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "82d6b5d0",
   "metadata": {},
   "outputs": [
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       "\n",
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       "\n",
       ".xr-attrs dd {\n",
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       "\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;precip&#x27; (latitude: 40, longitude: 32)&gt;\n",
       "array([[         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       ...,\n",
       "       [248.97755749, 275.25243236, 338.84412057, ..., 204.03614261,\n",
       "        273.31148629, 398.09106578],\n",
       "       [313.03271664, 304.99211095, 340.8316294 , ..., 159.18378839,\n",
       "        245.99790449, 286.82859662],\n",
       "       [300.33862548, 273.78465935, 231.78277314, ..., 220.4120114 ,\n",
       "        251.78057762, 284.67563873]])\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float64 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88\n",
       "  * longitude  (longitude) float64 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'precip'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 40</li><li><span class='xr-has-index'>longitude</span>: 32</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-3a344e6d-66e8-4ed3-bc0b-cbb24fb8524c' class='xr-array-in' type='checkbox' checked><label for='section-3a344e6d-66e8-4ed3-bc0b-cbb24fb8524c' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan nan nan nan nan ... 74.31 103.7 151.5 220.4 251.8 284.7</span></div><div class='xr-array-data'><pre>array([[         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       ...,\n",
       "       [248.97755749, 275.25243236, 338.84412057, ..., 204.03614261,\n",
       "        273.31148629, 398.09106578],\n",
       "       [313.03271664, 304.99211095, 340.8316294 , ..., 159.18378839,\n",
       "        245.99790449, 286.82859662],\n",
       "       [300.33862548, 273.78465935, 231.78277314, ..., 220.4120114 ,\n",
       "        251.78057762, 284.67563873]])</pre></div></div></li><li class='xr-section-item'><input id='section-0e1bdb63-5794-4335-bc4d-c90bd244a084' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0e1bdb63-5794-4335-bc4d-c90bd244a084' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-f1fe4d82-5947-4eba-b1e8-d21203dc319c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f1fe4d82-5947-4eba-b1e8-d21203dc319c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa8b2203-75cb-47d9-916d-ed6485c666c7' class='xr-var-data-in' type='checkbox'><label for='data-fa8b2203-75cb-47d9-916d-ed6485c666c7' 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>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875])</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'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-28a83c8e-3a6e-49bc-a219-a6b47da991fa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-28a83c8e-3a6e-49bc-a219-a6b47da991fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-41898a64-3f47-4e01-bd36-60189c5ece5f' class='xr-var-data-in' type='checkbox'><label for='data-41898a64-3f47-4e01-bd36-60189c5ece5f' 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>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dfaae9e8-6e5d-407b-9709-98ff633f0407' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-dfaae9e8-6e5d-407b-9709-98ff633f0407' 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.DataArray 'precip' (latitude: 40, longitude: 32)>\n",
       "array([[         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       ...,\n",
       "       [248.97755749, 275.25243236, 338.84412057, ..., 204.03614261,\n",
       "        273.31148629, 398.09106578],\n",
       "       [313.03271664, 304.99211095, 340.8316294 , ..., 159.18378839,\n",
       "        245.99790449, 286.82859662],\n",
       "       [300.33862548, 273.78465935, 231.78277314, ..., 220.4120114 ,\n",
       "        251.78057762, 284.67563873]])\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float64 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88\n",
       "  * longitude  (longitude) float64 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#getting the mean for JJAS data\n",
    "jjas_mean = jjas_data.precip.mean('time')\n",
    " \n",
    "jjas_mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "6d00cba7",
   "metadata": {},
   "outputs": [],
   "source": [
    "#changing unit from mm/month to mm/day\n",
    "pr_mm = jjas_mean/30.4167\n",
    "\n",
    "\n",
    "\n",
    "chirps = pr_mm\n",
    " "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "b6d9b2b3",
   "metadata": {},
   "outputs": [
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       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-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:    (time: 9131, bnds: 2, longitude: 32, latitude: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-01-01T12:00:00 ... 2005-12-31T12:00:00\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1981-01-01 1981-01-02 ... 2006-01-01\n",
       "    pr         (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/36)\n",
       "    CDI:                            Climate Data Interface version 1.9.9rc1 (...\n",
       "    Conventions:                    CF-1.4\n",
       "    history:                        Tue Sep 13 21:29:25 2022: cdo remapnn,gri...\n",
       "    source:                         GERICS-REMO2015\n",
       "    institution:                    Helmholtz-Zentrum Geesthacht, Climate Ser...\n",
       "    institute_id:                   GERICS\n",
       "    ...                             ...\n",
       "    parent_experiment:              N/A\n",
       "    modeling_realm:                 atmos\n",
       "    realization:                    1\n",
       "    cmor_version:                   2.9.1\n",
       "    tracking_id:                    hdl:21.14103/a5bf17ab-c247-4be0-a27e-06f8...\n",
       "    CDO:                            Climate Data Operators version 1.9.9rc1 (...</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-29bc2b13-a543-4b1e-8f29-05aac406f3af' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-29bc2b13-a543-4b1e-8f29-05aac406f3af' 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>: 9131</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>longitude</span>: 32</li><li><span class='xr-has-index'>latitude</span>: 40</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-2c003cbb-49f0-4d51-80a9-1540fb1c5ccd' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2c003cbb-49f0-4d51-80a9-1540fb1c5ccd' 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'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-01-01T12:00:00 ... 2005-12-...</div><input id='attrs-98172afb-0325-4e4c-a4c1-61c99c179f06' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-98172afb-0325-4e4c-a4c1-61c99c179f06' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d453abb2-4ef5-444a-9623-9cc0d0975ee6' class='xr-var-data-in' type='checkbox'><label for='data-d453abb2-4ef5-444a-9623-9cc0d0975ee6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-01-01T12:00:00.000000000&#x27;, &#x27;1981-01-02T12:00:00.000000000&#x27;,\n",
       "       &#x27;1981-01-03T12:00:00.000000000&#x27;, ..., &#x27;2005-12-29T12:00:00.000000000&#x27;,\n",
       "       &#x27;2005-12-30T12:00:00.000000000&#x27;, &#x27;2005-12-31T12:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-2171ff98-bb24-4747-ada9-937be679a604' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2171ff98-bb24-4747-ada9-937be679a604' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c785ecc-77f1-4650-a1c7-7e7b725198d5' class='xr-var-data-in' type='checkbox'><label for='data-9c785ecc-77f1-4650-a1c7-7e7b725198d5' 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>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</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'>float32</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-64fa557a-b9e6-4c33-b084-b8ccbef9ecc1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-64fa557a-b9e6-4c33-b084-b8ccbef9ecc1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0788fb6e-a475-44a3-99cb-9b16fa9e066a' class='xr-var-data-in' type='checkbox'><label for='data-0788fb6e-a475-44a3-99cb-9b16fa9e066a' 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>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-813f887e-e14d-4bdb-9b92-ac2340d1327c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-813f887e-e14d-4bdb-9b92-ac2340d1327c' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-231fbe40-5c58-4472-ba0f-f129e868422a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-231fbe40-5c58-4472-ba0f-f129e868422a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a1c76cd8-ec40-469a-a6c3-6e27ce439c8d' class='xr-var-data-in' type='checkbox'><label for='data-a1c76cd8-ec40-469a-a6c3-6e27ce439c8d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[&#x27;1981-01-01T00:00:00.000000000&#x27;, &#x27;1981-01-02T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1981-01-02T00:00:00.000000000&#x27;, &#x27;1981-01-03T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1981-01-03T00:00:00.000000000&#x27;, &#x27;1981-01-04T00:00:00.000000000&#x27;],\n",
       "       ...,\n",
       "       [&#x27;2005-12-29T00:00:00.000000000&#x27;, &#x27;2005-12-30T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-12-30T00:00:00.000000000&#x27;, &#x27;2005-12-31T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-12-31T00:00:00.000000000&#x27;, &#x27;2006-01-01T00:00:00.000000000&#x27;]],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</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'>...</div><input id='attrs-8cb22421-a457-47da-954e-14dafcaf9ae8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8cb22421-a457-47da-954e-14dafcaf9ae8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-92e73b7f-1d62-4a96-8e97-24b9f627a3eb' class='xr-var-data-in' type='checkbox'><label for='data-92e73b7f-1d62-4a96-8e97-24b9f627a3eb' 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>precipitation_flux</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>comment :</span></dt><dd>at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>original_name :</span></dt><dd>pr</dd><dt><span>original_units :</span></dt><dd>kg m-2 h-1</dd><dt><span>history :</span></dt><dd>2019-03-25T11:36:48Z altered by CMOR: Converted units from &#x27;kg m-2 h-1&#x27; to &#x27;kg m-2 s-1&#x27;. 2019-03-25T11:36:48Z altered by CMOR: replaced missing value flag (-9e+33) with standard missing value (1e+20).</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>associated_files :</span></dt><dd>gridspecFile: gridspec_atmos_fx_GERICS-REMO2015_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>[11687680 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-aed34e27-d2b2-4944-8f89-9dced430d38f' class='xr-section-summary-in' type='checkbox'  ><label for='section-aed34e27-d2b2-4944-8f89-9dced430d38f' class='xr-section-summary' >Attributes: <span>(36)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>history :</span></dt><dd>Tue Sep 13 21:29:25 2022: cdo remapnn,grid.des pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_GERICS-REMO2015_v1_day_1981-2005.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_GERICS-REMO2015_v1_day_remap_1981-2005.nc\n",
       "Tue Sep 13 20:46:19 2022: cdo mergetime pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_GERICS-REMO2015_v1_day_19810101-19851231.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_GERICS-REMO2015_v1_day_19860101-19901231.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_GERICS-REMO2015_v1_day_19910101-19951231.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_GERICS-REMO2015_v1_day_19960101-20001231.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_GERICS-REMO2015_v1_day_20010101-20051231.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_GERICS-REMO2015_v1_day_1981-2005.nc\n",
       "There is no special history for this experiment. 2019-03-25T11:36:48Z CMOR rewrote data to comply with CF standards and CORDEX requirements.</dd><dt><span>source :</span></dt><dd>GERICS-REMO2015</dd><dt><span>institution :</span></dt><dd>Helmholtz-Zentrum Geesthacht, Climate Service Center Germany</dd><dt><span>institute_id :</span></dt><dd>GERICS</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>model_id :</span></dt><dd>GERICS-REMO2015</dd><dt><span>forcing :</span></dt><dd>N/A</dd><dt><span>parent_experiment_id :</span></dt><dd>N/A</dd><dt><span>parent_experiment_rip :</span></dt><dd>N/A</dd><dt><span>branch_time :</span></dt><dd>0.0</dd><dt><span>contact :</span></dt><dd>gerics-cordex@hzg.de</dd><dt><span>comment :</span></dt><dd>CORDEX-CORE South Asia RCM REMO WAS-22. Data_policy: This data has been produced in the context of the WCRP Initiative on CORDEX-CORE (http://www.cordex.org/experiment-guidelines/cordex-core). While abiding by the highest scientific and technical standards, GERICS cannot warrant that any information provided will be entirely free from errors or omissions or that such errors or omissions can or will be rectified entirely. This applies to data from projects that continue to be developed, but are made publicly available for the purpose of feedback and testing. Some data or metadata may have been created or structured in files or formats that are not error-free. GERICS accepts no responsibility with regard to such problems incurred as a result of using this data. Additional note: for instantaneous values, the point data were taken from hourly mean output.</dd><dt><span>references :</span></dt><dd>http://www.remo-rcm.de</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>CORDEX_domain :</span></dt><dd>WAS-22</dd><dt><span>driving_experiment :</span></dt><dd>NCC-NorESM1-M, historical, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>NCC-NorESM1-M</dd><dt><span>driving_model_ensemble_member :</span></dt><dd>r1i1p1</dd><dt><span>driving_experiment_name :</span></dt><dd>historical</dd><dt><span>rcm_version_id :</span></dt><dd>v1</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>day</dd><dt><span>creation_date :</span></dt><dd>2019-03-25T11:36:48Z</dd><dt><span>project_id :</span></dt><dd>CORDEX</dd><dt><span>table_id :</span></dt><dd>Table day (March 2015) 0fd7c9320dff3b351cc577fecbf99273</dd><dt><span>title :</span></dt><dd>GERICS-REMO2015 model output prepared for CORDEX historical</dd><dt><span>parent_experiment :</span></dt><dd>N/A</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.9.1</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14103/a5bf17ab-c247-4be0-a27e-06f849303cd0</dd><dt><span>CDO :</span></dt><dd>Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 9131, bnds: 2, longitude: 32, latitude: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-01-01T12:00:00 ... 2005-12-31T12:00:00\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] ...\n",
       "    pr         (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/36)\n",
       "    CDI:                            Climate Data Interface version 1.9.9rc1 (...\n",
       "    Conventions:                    CF-1.4\n",
       "    history:                        Tue Sep 13 21:29:25 2022: cdo remapnn,gri...\n",
       "    source:                         GERICS-REMO2015\n",
       "    institution:                    Helmholtz-Zentrum Geesthacht, Climate Ser...\n",
       "    institute_id:                   GERICS\n",
       "    ...                             ...\n",
       "    parent_experiment:              N/A\n",
       "    modeling_realm:                 atmos\n",
       "    realization:                    1\n",
       "    cmor_version:                   2.9.1\n",
       "    tracking_id:                    hdl:21.14103/a5bf17ab-c247-4be0-a27e-06f8...\n",
       "    CDO:                            Climate Data Operators version 1.9.9rc1 (..."
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#opening the remo noresm data\n",
    "\n",
    "data = xr.open_dataset('/home/mkibria/Academic/pr_of_thesis/regcm driven by gcm/remo/NorESM1/pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_GERICS-REMO2015_v1_day_remap_1981-2005.nc')\n",
    " \n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "9d8694d7",
   "metadata": {},
   "outputs": [],
   "source": [
    "#data.lon.values\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "c811b0f2",
   "metadata": {},
   "outputs": [
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       ".xr-icon-database,\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 3050, bnds: 2, longitude: 32, latitude: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-06-01T12:00:00 ... 2005-09-30T12:00:00\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1981-06-01 1981-06-02 ... 2005-10-01\n",
       "    pr         (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/36)\n",
       "    CDI:                            Climate Data Interface version 1.9.9rc1 (...\n",
       "    Conventions:                    CF-1.4\n",
       "    history:                        Tue Sep 13 21:29:25 2022: cdo remapnn,gri...\n",
       "    source:                         GERICS-REMO2015\n",
       "    institution:                    Helmholtz-Zentrum Geesthacht, Climate Ser...\n",
       "    institute_id:                   GERICS\n",
       "    ...                             ...\n",
       "    parent_experiment:              N/A\n",
       "    modeling_realm:                 atmos\n",
       "    realization:                    1\n",
       "    cmor_version:                   2.9.1\n",
       "    tracking_id:                    hdl:21.14103/a5bf17ab-c247-4be0-a27e-06f8...\n",
       "    CDO:                            Climate Data Operators version 1.9.9rc1 (...</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-1f2af406-3df0-4390-ac2d-ef45a145206c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1f2af406-3df0-4390-ac2d-ef45a145206c' 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>: 3050</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>longitude</span>: 32</li><li><span class='xr-has-index'>latitude</span>: 40</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-3dc77452-7a71-4203-a5aa-1126c72c0b30' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3dc77452-7a71-4203-a5aa-1126c72c0b30' 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'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-06-01T12:00:00 ... 2005-09-...</div><input id='attrs-6c1ffe79-64d0-4bf8-aca1-33f5b8a9103d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6c1ffe79-64d0-4bf8-aca1-33f5b8a9103d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d756ca67-3247-49fe-be60-dbace05184f0' class='xr-var-data-in' type='checkbox'><label for='data-d756ca67-3247-49fe-be60-dbace05184f0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-06-01T12:00:00.000000000&#x27;, &#x27;1981-06-02T12:00:00.000000000&#x27;,\n",
       "       &#x27;1981-06-03T12:00:00.000000000&#x27;, ..., &#x27;2005-09-28T12:00:00.000000000&#x27;,\n",
       "       &#x27;2005-09-29T12:00:00.000000000&#x27;, &#x27;2005-09-30T12:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-2c5d062c-6256-49ed-8cf4-9949e1352497' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2c5d062c-6256-49ed-8cf4-9949e1352497' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1bd401fe-8235-451d-a75d-bcd2b9fab5a8' class='xr-var-data-in' type='checkbox'><label for='data-1bd401fe-8235-451d-a75d-bcd2b9fab5a8' 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>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</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'>float32</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-952d2cc4-1b9a-41e3-b63b-3755fffd2df2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-952d2cc4-1b9a-41e3-b63b-3755fffd2df2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-96762279-7805-4ce6-a88c-6117a6f1c76c' class='xr-var-data-in' type='checkbox'><label for='data-96762279-7805-4ce6-a88c-6117a6f1c76c' 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>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-62c24e44-db6f-4597-9296-720c561385e9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-62c24e44-db6f-4597-9296-720c561385e9' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-06-01 ... 2005-10-01</div><input id='attrs-f16997a6-8f5f-4c50-a4bb-502944a20ba0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f16997a6-8f5f-4c50-a4bb-502944a20ba0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4dfdcfb5-9edc-451d-bdcd-299014cc1f05' class='xr-var-data-in' type='checkbox'><label for='data-4dfdcfb5-9edc-451d-bdcd-299014cc1f05' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[&#x27;1981-06-01T00:00:00.000000000&#x27;, &#x27;1981-06-02T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1981-06-02T00:00:00.000000000&#x27;, &#x27;1981-06-03T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1981-06-03T00:00:00.000000000&#x27;, &#x27;1981-06-04T00:00:00.000000000&#x27;],\n",
       "       ...,\n",
       "       [&#x27;2005-09-28T00:00:00.000000000&#x27;, &#x27;2005-09-29T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-09-29T00:00:00.000000000&#x27;, &#x27;2005-09-30T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-09-30T00:00:00.000000000&#x27;, &#x27;2005-10-01T00:00:00.000000000&#x27;]],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</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'>...</div><input id='attrs-251d3b46-a4e5-4880-adb2-c40eb6ae9163' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-251d3b46-a4e5-4880-adb2-c40eb6ae9163' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6be3e489-5daa-4a69-a8cf-1d687c019e3b' class='xr-var-data-in' type='checkbox'><label for='data-6be3e489-5daa-4a69-a8cf-1d687c019e3b' 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>precipitation_flux</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>comment :</span></dt><dd>at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>original_name :</span></dt><dd>pr</dd><dt><span>original_units :</span></dt><dd>kg m-2 h-1</dd><dt><span>history :</span></dt><dd>2019-03-25T11:36:48Z altered by CMOR: Converted units from &#x27;kg m-2 h-1&#x27; to &#x27;kg m-2 s-1&#x27;. 2019-03-25T11:36:48Z altered by CMOR: replaced missing value flag (-9e+33) with standard missing value (1e+20).</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>associated_files :</span></dt><dd>gridspecFile: gridspec_atmos_fx_GERICS-REMO2015_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>[3904000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-335cfb10-1b70-49d1-a093-2f0070a5a537' class='xr-section-summary-in' type='checkbox'  ><label for='section-335cfb10-1b70-49d1-a093-2f0070a5a537' class='xr-section-summary' >Attributes: <span>(36)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>history :</span></dt><dd>Tue Sep 13 21:29:25 2022: cdo remapnn,grid.des pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_GERICS-REMO2015_v1_day_1981-2005.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_GERICS-REMO2015_v1_day_remap_1981-2005.nc\n",
       "Tue Sep 13 20:46:19 2022: cdo mergetime pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_GERICS-REMO2015_v1_day_19810101-19851231.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_GERICS-REMO2015_v1_day_19860101-19901231.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_GERICS-REMO2015_v1_day_19910101-19951231.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_GERICS-REMO2015_v1_day_19960101-20001231.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_GERICS-REMO2015_v1_day_20010101-20051231.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_GERICS-REMO2015_v1_day_1981-2005.nc\n",
       "There is no special history for this experiment. 2019-03-25T11:36:48Z CMOR rewrote data to comply with CF standards and CORDEX requirements.</dd><dt><span>source :</span></dt><dd>GERICS-REMO2015</dd><dt><span>institution :</span></dt><dd>Helmholtz-Zentrum Geesthacht, Climate Service Center Germany</dd><dt><span>institute_id :</span></dt><dd>GERICS</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>model_id :</span></dt><dd>GERICS-REMO2015</dd><dt><span>forcing :</span></dt><dd>N/A</dd><dt><span>parent_experiment_id :</span></dt><dd>N/A</dd><dt><span>parent_experiment_rip :</span></dt><dd>N/A</dd><dt><span>branch_time :</span></dt><dd>0.0</dd><dt><span>contact :</span></dt><dd>gerics-cordex@hzg.de</dd><dt><span>comment :</span></dt><dd>CORDEX-CORE South Asia RCM REMO WAS-22. Data_policy: This data has been produced in the context of the WCRP Initiative on CORDEX-CORE (http://www.cordex.org/experiment-guidelines/cordex-core). While abiding by the highest scientific and technical standards, GERICS cannot warrant that any information provided will be entirely free from errors or omissions or that such errors or omissions can or will be rectified entirely. This applies to data from projects that continue to be developed, but are made publicly available for the purpose of feedback and testing. Some data or metadata may have been created or structured in files or formats that are not error-free. GERICS accepts no responsibility with regard to such problems incurred as a result of using this data. Additional note: for instantaneous values, the point data were taken from hourly mean output.</dd><dt><span>references :</span></dt><dd>http://www.remo-rcm.de</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>CORDEX_domain :</span></dt><dd>WAS-22</dd><dt><span>driving_experiment :</span></dt><dd>NCC-NorESM1-M, historical, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>NCC-NorESM1-M</dd><dt><span>driving_model_ensemble_member :</span></dt><dd>r1i1p1</dd><dt><span>driving_experiment_name :</span></dt><dd>historical</dd><dt><span>rcm_version_id :</span></dt><dd>v1</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>day</dd><dt><span>creation_date :</span></dt><dd>2019-03-25T11:36:48Z</dd><dt><span>project_id :</span></dt><dd>CORDEX</dd><dt><span>table_id :</span></dt><dd>Table day (March 2015) 0fd7c9320dff3b351cc577fecbf99273</dd><dt><span>title :</span></dt><dd>GERICS-REMO2015 model output prepared for CORDEX historical</dd><dt><span>parent_experiment :</span></dt><dd>N/A</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.9.1</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14103/a5bf17ab-c247-4be0-a27e-06f849303cd0</dd><dt><span>CDO :</span></dt><dd>Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 3050, bnds: 2, longitude: 32, latitude: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-06-01T12:00:00 ... 2005-09-30T12:00:00\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1981-06-01 1981-06-02 ... 2005-10-01\n",
       "    pr         (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/36)\n",
       "    CDI:                            Climate Data Interface version 1.9.9rc1 (...\n",
       "    Conventions:                    CF-1.4\n",
       "    history:                        Tue Sep 13 21:29:25 2022: cdo remapnn,gri...\n",
       "    source:                         GERICS-REMO2015\n",
       "    institution:                    Helmholtz-Zentrum Geesthacht, Climate Ser...\n",
       "    institute_id:                   GERICS\n",
       "    ...                             ...\n",
       "    parent_experiment:              N/A\n",
       "    modeling_realm:                 atmos\n",
       "    realization:                    1\n",
       "    cmor_version:                   2.9.1\n",
       "    tracking_id:                    hdl:21.14103/a5bf17ab-c247-4be0-a27e-06f8...\n",
       "    CDO:                            Climate Data Operators version 1.9.9rc1 (..."
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#selecting only JJAS months\n",
    "\n",
    "def is_jjas(month):\n",
    "    return (month >= 6) & (month <= 9)\n",
    "\n",
    "jjas_data = data.sel(time=is_jjas(data['time.month']))\n",
    "\n",
    "jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "be94f5d2",
   "metadata": {},
   "outputs": [],
   "source": [
    "#jjas_data.x.values\n",
    "#jjas_data.y.values\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "a41e4a60",
   "metadata": {},
   "outputs": [],
   "source": [
    "#to select the x and y coordinates\n",
    "#jjas_data = jjas_data.sel(rlon=slice(86,94),rlat=slice(18,27))\n",
    "#jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "18269e45",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
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       "\n",
       ".xr-attrs dd {\n",
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       "\n",
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       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
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       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;pr&#x27; (latitude: 40, longitude: 32)&gt;\n",
       "array([[5.7938450e-05, 6.3159736e-05, 6.4103500e-05, ..., 1.6373696e-04,\n",
       "        1.7343117e-04, 1.8013352e-04],\n",
       "       [6.0809987e-05, 6.3075357e-05, 6.4515159e-05, ..., 1.6138810e-04,\n",
       "        1.7262482e-04, 1.7414099e-04],\n",
       "       [5.5074361e-05, 5.7376397e-05, 5.7678895e-05, ..., 1.5309040e-04,\n",
       "        1.6882244e-04, 1.8657338e-04],\n",
       "       ...,\n",
       "       [1.1251979e-04, 1.0611183e-04, 1.5401590e-04, ..., 7.4695301e-05,\n",
       "        1.7775341e-04, 1.1017516e-04],\n",
       "       [1.6522240e-04, 1.5353816e-04, 1.5031442e-04, ..., 5.7126377e-05,\n",
       "        1.2805274e-04, 7.2414572e-05],\n",
       "       [2.2233215e-04, 1.8187561e-04, 1.8839451e-04, ..., 1.4919326e-04,\n",
       "        9.3797302e-05, 1.8241751e-04]], dtype=float32)\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'pr'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 40</li><li><span class='xr-has-index'>longitude</span>: 32</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-05df38c4-93f7-4bba-abf3-6a0e6878f308' class='xr-array-in' type='checkbox' checked><label for='section-05df38c4-93f7-4bba-abf3-6a0e6878f308' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>5.794e-05 6.316e-05 6.41e-05 ... 0.0001492 9.38e-05 0.0001824</span></div><div class='xr-array-data'><pre>array([[5.7938450e-05, 6.3159736e-05, 6.4103500e-05, ..., 1.6373696e-04,\n",
       "        1.7343117e-04, 1.8013352e-04],\n",
       "       [6.0809987e-05, 6.3075357e-05, 6.4515159e-05, ..., 1.6138810e-04,\n",
       "        1.7262482e-04, 1.7414099e-04],\n",
       "       [5.5074361e-05, 5.7376397e-05, 5.7678895e-05, ..., 1.5309040e-04,\n",
       "        1.6882244e-04, 1.8657338e-04],\n",
       "       ...,\n",
       "       [1.1251979e-04, 1.0611183e-04, 1.5401590e-04, ..., 7.4695301e-05,\n",
       "        1.7775341e-04, 1.1017516e-04],\n",
       "       [1.6522240e-04, 1.5353816e-04, 1.5031442e-04, ..., 5.7126377e-05,\n",
       "        1.2805274e-04, 7.2414572e-05],\n",
       "       [2.2233215e-04, 1.8187561e-04, 1.8839451e-04, ..., 1.4919326e-04,\n",
       "        9.3797302e-05, 1.8241751e-04]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-a7acc582-1083-44ba-9544-3b8dd566bac0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a7acc582-1083-44ba-9544-3b8dd566bac0' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-327a3185-6081-4ea1-b967-f712ffb65d89' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-327a3185-6081-4ea1-b967-f712ffb65d89' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9393a706-b92e-465e-a8a7-df37d7468853' class='xr-var-data-in' type='checkbox'><label for='data-9393a706-b92e-465e-a8a7-df37d7468853' 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>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</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'>float32</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-ac9d9993-5065-4817-bd52-a20c1f4144e4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac9d9993-5065-4817-bd52-a20c1f4144e4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-657fbf8a-6e05-45b8-b336-517f5fcf3ba6' class='xr-var-data-in' type='checkbox'><label for='data-657fbf8a-6e05-45b8-b336-517f5fcf3ba6' 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>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c22d01b4-f3b3-4568-8774-f9edf0f1f557' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c22d01b4-f3b3-4568-8774-f9edf0f1f557' 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.DataArray 'pr' (latitude: 40, longitude: 32)>\n",
       "array([[5.7938450e-05, 6.3159736e-05, 6.4103500e-05, ..., 1.6373696e-04,\n",
       "        1.7343117e-04, 1.8013352e-04],\n",
       "       [6.0809987e-05, 6.3075357e-05, 6.4515159e-05, ..., 1.6138810e-04,\n",
       "        1.7262482e-04, 1.7414099e-04],\n",
       "       [5.5074361e-05, 5.7376397e-05, 5.7678895e-05, ..., 1.5309040e-04,\n",
       "        1.6882244e-04, 1.8657338e-04],\n",
       "       ...,\n",
       "       [1.1251979e-04, 1.0611183e-04, 1.5401590e-04, ..., 7.4695301e-05,\n",
       "        1.7775341e-04, 1.1017516e-04],\n",
       "       [1.6522240e-04, 1.5353816e-04, 1.5031442e-04, ..., 5.7126377e-05,\n",
       "        1.2805274e-04, 7.2414572e-05],\n",
       "       [2.2233215e-04, 1.8187561e-04, 1.8839451e-04, ..., 1.4919326e-04,\n",
       "        9.3797302e-05, 1.8241751e-04]], dtype=float32)\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#getting the mean for JJAS data\n",
    "jjas_mean = jjas_data.pr.mean('time')\n",
    " \n",
    "jjas_mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "6f88bd72",
   "metadata": {},
   "outputs": [
    {
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       "\n",
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       "}\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",
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       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
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       "}\n",
       "\n",
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       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
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       "  fill: currentColor;\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;pr&#x27; (latitude: 40, longitude: 32)&gt;\n",
       "array([[ 5.00588212,  5.45700118,  5.53854243, ..., 14.14687308,\n",
       "        14.98445277, 15.56353583],\n",
       "       [ 5.25398289,  5.44971081,  5.57410978, ..., 13.94393211,\n",
       "        14.91478407, 15.0457819 ],\n",
       "       [ 4.75842477,  4.95732073,  4.98345655, ..., 13.22701033,\n",
       "        14.58625915, 16.11993997],\n",
       "       ...,\n",
       "       [ 9.72170974,  9.1680622 , 13.30697369, ...,  6.45367401,\n",
       "        15.35789422,  9.51913402],\n",
       "       [14.27521552, 13.26569701, 12.98716553, ...,  4.93571899,\n",
       "        11.06375637,  6.25661903],\n",
       "       [19.20949775, 15.71405302, 16.27728548, ..., 12.89029797,\n",
       "         8.10408688, 15.76087307]])\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'pr'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 40</li><li><span class='xr-has-index'>longitude</span>: 32</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-900e5727-9693-4818-90ff-76df2879730c' class='xr-array-in' type='checkbox' checked><label for='section-900e5727-9693-4818-90ff-76df2879730c' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>5.006 5.457 5.539 5.503 5.439 5.558 ... 17.71 12.41 12.89 8.104 15.76</span></div><div class='xr-array-data'><pre>array([[ 5.00588212,  5.45700118,  5.53854243, ..., 14.14687308,\n",
       "        14.98445277, 15.56353583],\n",
       "       [ 5.25398289,  5.44971081,  5.57410978, ..., 13.94393211,\n",
       "        14.91478407, 15.0457819 ],\n",
       "       [ 4.75842477,  4.95732073,  4.98345655, ..., 13.22701033,\n",
       "        14.58625915, 16.11993997],\n",
       "       ...,\n",
       "       [ 9.72170974,  9.1680622 , 13.30697369, ...,  6.45367401,\n",
       "        15.35789422,  9.51913402],\n",
       "       [14.27521552, 13.26569701, 12.98716553, ...,  4.93571899,\n",
       "        11.06375637,  6.25661903],\n",
       "       [19.20949775, 15.71405302, 16.27728548, ..., 12.89029797,\n",
       "         8.10408688, 15.76087307]])</pre></div></div></li><li class='xr-section-item'><input id='section-42dfa744-4f0d-4929-9f1a-6dab90652dc5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-42dfa744-4f0d-4929-9f1a-6dab90652dc5' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-c6394bff-5295-410d-94be-beae2c41c5ef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c6394bff-5295-410d-94be-beae2c41c5ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8f615ff7-a03b-48ed-a4ea-1162c45aa2f3' class='xr-var-data-in' type='checkbox'><label for='data-8f615ff7-a03b-48ed-a4ea-1162c45aa2f3' 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>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</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'>float32</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-f7005783-063d-41e4-ab7c-7d7fbf4b7851' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f7005783-063d-41e4-ab7c-7d7fbf4b7851' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1cb932c8-bd56-458d-be58-a8105b94ca12' class='xr-var-data-in' type='checkbox'><label for='data-1cb932c8-bd56-458d-be58-a8105b94ca12' 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>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9a272ec0-7738-4d1d-83fa-eb1d36a84232' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9a272ec0-7738-4d1d-83fa-eb1d36a84232' 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.DataArray 'pr' (latitude: 40, longitude: 32)>\n",
       "array([[ 5.00588212,  5.45700118,  5.53854243, ..., 14.14687308,\n",
       "        14.98445277, 15.56353583],\n",
       "       [ 5.25398289,  5.44971081,  5.57410978, ..., 13.94393211,\n",
       "        14.91478407, 15.0457819 ],\n",
       "       [ 4.75842477,  4.95732073,  4.98345655, ..., 13.22701033,\n",
       "        14.58625915, 16.11993997],\n",
       "       ...,\n",
       "       [ 9.72170974,  9.1680622 , 13.30697369, ...,  6.45367401,\n",
       "        15.35789422,  9.51913402],\n",
       "       [14.27521552, 13.26569701, 12.98716553, ...,  4.93571899,\n",
       "        11.06375637,  6.25661903],\n",
       "       [19.20949775, 15.71405302, 16.27728548, ..., 12.89029797,\n",
       "         8.10408688, 15.76087307]])\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "noresm = jjas_mean*86400\n",
    "noresm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "6c5c5811",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       ".xr-attrs dt,\n",
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       "}\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",
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       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
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       "  vertical-align: middle;\n",
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       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (latitude: 40, longitude: 32)&gt;\n",
       "array([[        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       ...,\n",
       "       [ 1.53615518,  0.11867708,  2.16690522, ..., -0.25435621,\n",
       "         6.37232095, -3.56877709],\n",
       "       [ 3.98374022,  3.2385701 ,  1.78175437, ..., -0.29771489,\n",
       "         2.9761629 , -3.1733519 ],\n",
       "       [ 9.33536198,  6.7129234 ,  8.65703827, ...,  5.64388361,\n",
       "        -0.17362167,  6.40168425]])\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 40</li><li><span class='xr-has-index'>longitude</span>: 32</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-ff3cec06-8af5-4984-9e5c-c48a953dfbab' class='xr-array-in' type='checkbox' checked><label for='section-ff3cec06-8af5-4984-9e5c-c48a953dfbab' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan nan nan nan nan ... 20.66 14.3 7.435 5.644 -0.1736 6.402</span></div><div class='xr-array-data'><pre>array([[        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       ...,\n",
       "       [ 1.53615518,  0.11867708,  2.16690522, ..., -0.25435621,\n",
       "         6.37232095, -3.56877709],\n",
       "       [ 3.98374022,  3.2385701 ,  1.78175437, ..., -0.29771489,\n",
       "         2.9761629 , -3.1733519 ],\n",
       "       [ 9.33536198,  6.7129234 ,  8.65703827, ...,  5.64388361,\n",
       "        -0.17362167,  6.40168425]])</pre></div></div></li><li class='xr-section-item'><input id='section-b1e5c8e2-f2af-4f0c-b554-132342855c24' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b1e5c8e2-f2af-4f0c-b554-132342855c24' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-15f9291c-f751-4950-983e-097fe807f0a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-15f9291c-f751-4950-983e-097fe807f0a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-feedd009-da05-4150-b707-ce02ea9c129d' class='xr-var-data-in' type='checkbox'><label for='data-feedd009-da05-4150-b707-ce02ea9c129d' 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>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</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'>float32</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-1a0d1a4b-5fb5-4e7a-b02d-e741a0590e3a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1a0d1a4b-5fb5-4e7a-b02d-e741a0590e3a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f2de972-5bcc-4ab2-b3e9-a6f79992307d' class='xr-var-data-in' type='checkbox'><label for='data-5f2de972-5bcc-4ab2-b3e9-a6f79992307d' 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>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-abccf935-3e1c-4305-9972-165ebc132258' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-abccf935-3e1c-4305-9972-165ebc132258' 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.DataArray (latitude: 40, longitude: 32)>\n",
       "array([[        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       ...,\n",
       "       [ 1.53615518,  0.11867708,  2.16690522, ..., -0.25435621,\n",
       "         6.37232095, -3.56877709],\n",
       "       [ 3.98374022,  3.2385701 ,  1.78175437, ..., -0.29771489,\n",
       "         2.9761629 , -3.1733519 ],\n",
       "       [ 9.33536198,  6.7129234 ,  8.65703827, ...,  5.64388361,\n",
       "        -0.17362167,  6.40168425]])\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bias = noresm - chirps\n",
    "bias"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "445388ed",
   "metadata": {},
   "outputs": [
    {
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       "\n",
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       "\n",
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       "\n",
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       "\n",
       ".xr-attrs dd {\n",
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       "\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (latitude: 40, longitude: 32)&gt;\n",
       "array([[         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       ...,\n",
       "       [ 18.7666598 ,   1.31143802,  19.45145334, ...,  -3.79181666,\n",
       "         70.91724442, -27.2677363 ],\n",
       "       [ 38.70912681,  32.29808629,  15.90083888, ...,  -5.68871029,\n",
       "         36.79911592, -33.65176758],\n",
       "       [ 94.54358533,  74.57867712, 113.60574063, ...,  77.8851904 ,\n",
       "         -2.09746056,  68.39999029]])\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 40</li><li><span class='xr-has-index'>longitude</span>: 32</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-d60edac1-bb92-476f-b653-07453cfe27fe' class='xr-array-in' type='checkbox' checked><label for='section-d60edac1-bb92-476f-b653-07453cfe27fe' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan nan nan nan nan ... 845.6 419.6 149.3 77.89 -2.097 68.4</span></div><div class='xr-array-data'><pre>array([[         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       ...,\n",
       "       [ 18.7666598 ,   1.31143802,  19.45145334, ...,  -3.79181666,\n",
       "         70.91724442, -27.2677363 ],\n",
       "       [ 38.70912681,  32.29808629,  15.90083888, ...,  -5.68871029,\n",
       "         36.79911592, -33.65176758],\n",
       "       [ 94.54358533,  74.57867712, 113.60574063, ...,  77.8851904 ,\n",
       "         -2.09746056,  68.39999029]])</pre></div></div></li><li class='xr-section-item'><input id='section-61d901b3-3359-47a9-8020-544d83291bb2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-61d901b3-3359-47a9-8020-544d83291bb2' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-661a0361-3099-4199-b2ac-b5ba0512b69d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-661a0361-3099-4199-b2ac-b5ba0512b69d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0531974f-58ac-4e73-94ee-f692f855a151' class='xr-var-data-in' type='checkbox'><label for='data-0531974f-58ac-4e73-94ee-f692f855a151' 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>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</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'>float32</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-76fc7d83-e79c-4b12-90d4-a2a17642b685' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-76fc7d83-e79c-4b12-90d4-a2a17642b685' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0331693c-3de3-4d26-8f8e-aa6237936eee' class='xr-var-data-in' type='checkbox'><label for='data-0331693c-3de3-4d26-8f8e-aa6237936eee' 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>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4afbd9b4-2cd5-4e10-a944-08a4667d7791' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4afbd9b4-2cd5-4e10-a944-08a4667d7791' 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.DataArray (latitude: 40, longitude: 32)>\n",
       "array([[         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       ...,\n",
       "       [ 18.7666598 ,   1.31143802,  19.45145334, ...,  -3.79181666,\n",
       "         70.91724442, -27.2677363 ],\n",
       "       [ 38.70912681,  32.29808629,  15.90083888, ...,  -5.68871029,\n",
       "         36.79911592, -33.65176758],\n",
       "       [ 94.54358533,  74.57867712, 113.60574063, ...,  77.8851904 ,\n",
       "         -2.09746056,  68.39999029]])\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bias_percentage = ((noresm - chirps)/chirps)*100\n",
    "bias_percentage\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "ac9e9ad5",
   "metadata": {},
   "outputs": [],
   "source": [
    "#for i in bias_percentage.values:\n",
    " #   print(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "08ba09cb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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vb7ZvjLZN2RydJZYLerfe31H6vSablXEH0AnF6cDRaB66/UyETChhsWxx6XYYrfdkX5Qm0LJc8Z1+bbVsQHnJdrOr8grTtP+nAkhlrNZcYKAQ4mHzzEIIH613p44FKE0oDwkh6hjlC0bx/rTECyhjw17V3s8lHnIhxDUo/R9WkYpn5hCUaBazS8vrCFLKuSiW5r2YDr3QbT+C4k0YDcwXZmHvtL/tJyiOF1tRhqfYisnv4ghCiBAhxAtCiBIWvfb30X1cbCitHCdf5ydQPsK/0PbPmddLCCHGYt+1chpSymUoz/G1jn5YCCXG6yRhNoZYuy0GrUc0lq97NxRDYJuFbXZREfvchgFfCiGOoJj5F1DGc/XAMPpf79ggpbyoFZDfgYNCiCXAMZQ+k0Yo/So/AA9pd/kUJTrERiHE7ygv7etQXr57MTgQgNJ2vl0IsQ/F4/ECSgidMSgedx8Z5Z2iPdZb2hfXLpSvlDEoL7oSL1I72IryEhonlMCj27XnNhLl5eusMD7GQwECtMcYjXJtpkozF38LuOTaSinThBAbgQFCCD9pm5u3bt9lQohtKA9zHynlBpTfogXwuRBiAsqDloXyxd0TpcksSLv/ZSHEMyj9vXuEEHNQ7sExKH087VC++o2PmSSUEEz/oPQPPyOEWIVyH9QA+qAMhN1hQ/2tDUJ2Fs8DK1DO3RLPoDg33Q0c0zpdnMIQfqseikfdKK1lYBNWfhdjrA0FAIMDhz9KE/ZU7f2xD6WPNx6lGT8a5d76xIb6OOU6Syl3CmXc7W/A30KIvSgv+asoH27XoDxXc51xPAd5DSVk1qsYxrHaQziKU9K7Qoh1QAJKi1o9lNBqoShdKCbjQLUfHD2AZdIZ4/xkOd0t3f2H0vcyBeWBO4XyIslBafr7EituySihXWajeCMWoLiw70Ixv1uY5b0F5abPQekEno1y461BOy5Vmy8C5QZYh/LyzUexTuYB3S3UIRblBZ+krUMyyhdaQwt5EzFyjS9rm7Z+s1G8l3JQXih3YHBXnmqWX1K+oQAaFOeAFShelNb2GeCma3uX9njDrFyvK6Wc33DtviuN0kJQLKzdKC/ELJSPot+AsRbKuA1FoPO0v8EHKIO6JUonvKXjhqHcyxu017IQ5b5chSKwQUZ5db/jhzb8XjbnNfutRlvZvtLod4+wkmcIinPAeQyOI2tQxmL6l3If2/u7zLZwL5r/jdfm9UER2I9RnocU7TVOR/kwfhqo5ui1s/c6m+0bA0xH+YC5oq1XMoqo3ImRKz5uCr9llkfnxt9Hu95Au/6PDecWiDIE6WuUZyJNe36XtPf2A5gNNTB6hiw+w478CW2hVhFC3KQ9aBeUl3MSyk38htQOQhVCzMZ6yJQjUkq9q71QwjHNQvl6+g14TCqedwglDJXOnXSglHKVcUFCiA1AkZRyQKmVVqlyaD3yjqE4LYwtK787EEIMRBGGd6WU1jwOVVRUACGEroWglSx7oH+Z2NLn9gxKM9ALKONEvkD5qlxh5PHzGkpzjfHfbdpt+kjxQgmB8weKoo8BOmK9U/11e05EpWojlXFKrwCjhRBt3XlsIUQNcwcAoURY0d3D80vupaKiokMoIe2uA553hrCBbX1uI6Rp3Li1QojLKP1UA4BVUsoTKNG3jSs7SLv4g1FyS+CMlPJ9bZ7XUBwe3jU75nJgsBBihJRyoa0no1Ll+QGlX64WTvC2soNrURwElqM0e8ehNNPFoURY2ejGuqioVESiUKKSmI97c5gyxU1aDoiqiyFW2mDEu1FCRB00SksCmmibJvejtC0ftbDvXJTO3hlCiEWyrLZTFRVAKsMg3vTAofcDq1EchqJR+iOPoAyKLdNZQUWlqiOlXEQZ3sH24qi3pM4V+pCljUKI3igj3h83TpeK5+JLKE4IfiidqZZCNkmUyBRLUEayz7GQR0XFK5CKS/wtnq6HioqKgTIdSkrsoEQr2A3slVIOspLnS5SxMfHSMN7MeHskihl6UppGsW+A4lDygJTyGyHEehRPulZSialYpkOJUKYfeRCgaYvmnQODguw6v4pOdmYWp04YWohjatakZq0499ejqKTX95XcEkFITPdJuURBVpYhQQiQkoDQUEJq2j+tV1ZOuSP4EBocbHVbRLXSon1ZJ8TP+lRplq6bMebX0Bnn6AiWrou76lLab2IL7qhnYRn3ur+Fe0eTnUNxhjbgja8P/rExZZ6ro/egJUq7L3X4U/7usN17Dvwrpby+3AWVgV2Wm3ZQ3nyU8UkW52bSdqzfghJVvYSwAUgp0yk9yK2OF1BcwcejxJsrEymlbt4v2nbsIBesWVXGHhWDjZeUIWS9Y+LLzPvd57OY8YIyfvjK5cv8tmg+jZraFbzDKejqbMzigwes5t8z+xcO/2PUMqH98CrIyqJ+v150ftCe6cAMrNu126H9+nXqaHXb8NaWYnCXji2/HVi+bjosXT9Hz88RSrsmxjizTrYe0xFcde3O79tjdVt8uw4W02VREckffI7MzYNiDdc++ySRjRqUehxH7kNL2HJv1pS2vLLLJiSySbmDItuCzRFKtK7WC1AGGA6R1gOajkIZo/SDle02I6VcjzLY7xVPhKPxFoxfdhsvnS/15Qcw/qEH6dhVCe5RWFjIh2+949L6WcPSA1PawxgSa906O7Z0BXlXrMWRLp1+nTrq/zxB75h4m4VNl98alq6fu87LnuOU93q76zdz1TGsCVhpCD8/ghobAsGc31H69ITeKmzZ59eX+ucubBI3ocw+Ow8lNMowKWVpnmj3oAxEXVL+6gFKCKM6GCKIVEhqynSHvnysCVlpIufj48Or7xhCwy2bv4CUCxfsPrYzsEfgQuNM4wz3ee4pAsK0EXyk5OKBBA7+8Rc7v57NkQVLyLtqf5xpW1+azrDa7BU1833tOb6rhcBS2bZcB3uutyc/Qjz58WNMYJNG+uULu/dZzecuYbPnveVu8SqLMsVNO5btF5TI36OklFbjB2pjyw0GfpV2hNopDSnlLhRhfQHDNCMVBvObwx6BK8tCKy1Pu44d6dpTidtbVFTEVx9/avNxnY2tAlezfVtqtm9LYPUwej71KHV6dCUoPFy/fdN7H7P/1z85tvhfdn/3Ewvuf4Q9s3+hKL/ApFzdX1m46oVWHlEzL8ca1s7P1vOxp6+9NGGz9VrryjG+5p62qC3h6vqUZdH5BBkaqDSFTnmFWsUWYbMVbxI1HbZEKPkCxWp6nZKummeNmyeFEE+hzLvVWStK9lXGzKHEKF03MaQvyhTtA2wpz1qfm/GPliIiS2x3BqXdGLYc0xZhM8f8Zl2+aDEP3Xk3AL6+vvy2eCFdenS3tKtbsLUPTmo0CB/lu+vA7/M48FvpYfbC69Vh+i+zqRFneUah0vr57KWsF7kzRM0ce/vgdFjqT8o7cpysrTsoOHMO4e+PX41Igpo3IbRnV4RfyS548xd9WefvzGtdXqzV1Z46lqdPzqTfrbAIrlwlpnUb/GrGYiFWNgA1jp3U3+9Nrr+OLg/dXyKPM6w2ZwmbI6IW2/renVJKS0HRnYot4pZIyUkkdUyTylxcurx7AR8ppUMRIqyJm3bb9yiOJeUSt/KKTlnYelOUdixHhM0Y3Y0rpeT2G0axdaMyhji+Th2WbFhH9Yjw0nZ3KfY6mWiKizkwZx4nlv9HQVY2Uc2aENu6Jcl793P5mMErtFajBkz/+3eCSvEuK++L1xPCBmXfD7YInJSSjOWryd5qORazX1QNwm8YQmD9uoDjzZC21MlZOPKSLy4qYtd/azhz5CjHUlPxD65GtcgIarZrQ2B169PrOSJyenHLyISNO0HbwuAXF0vkqOH4m3kAF6VfIfv3v8m+qAwt7vHkJBoMMA3MX15hc2b/mqPWmteIW0XGXNzsMbPtETpH+tKslW/tRWb8srDlBtfdxOfOnOWGvv25euUKAA8+/hjPTZ9qV11txdp1MD9XewVOh5RS/8U7rFVrVv32Jz+99ibFRcokADc+8QijHy27a9b4WPmZWaQeOkzGuQvEd+lEeF3rcQlKu+6uEjYdtnzw6M4rPzOLi/sPkp+ZiY+vL1JK9i5cSkFS2ZNaB3fuwPVPPUZAiOlHgqVz7x0TXy7htZfyvtgvnT3Hx49OJvFgyeG5/iEh9H3haWJbt7Swp0JZAielJP9EIgWJpylKS8eneig51YPhwkVIOGaSV/j5UX3wNQQ0qEfx1QyKL6eTt2kb+dp+ZN+AAG6Y9SHVapg+O+W5Bp601oxRxc0JGIubo26sZYlcedxjLZVdlrjZ48ygY8HceTw5QZnWLSo6mm3HDlttFrGH8n4smJ+rLS9C8/Nf+cvv/DB1BgBBISFsP5JASGioxfIBCvML+OezWWxasJiMq1cpyMrWbxO+vrQYPZzWt4zFL9DUOdeTwmZMaWJSVFjIyp/n8MeHn1JYyliuoOZNqX79QIQQ5B0+RsaqdcgCQ79ltRqRdJ54H3W6K+8f83O3dL6uEjlnOU4UFxUx7eY7OHUgwWqealE1GP75zBK/vTHWBK7wYipXl62kINHRKRkN+Pj70+vpx6jTwzAZtqstNncJG6ji5hR04uZsATKmvGM/7BE4W7B0E2s0Gjo3aqq33jYc2Ed8ndIip1nGGeNcHLHiSnuwNcXFTBtxEyePHQdg2OhRPP6/KTRo3IiAgAD9MQry8zmxZx9/ffw5h7eVPk1aSM1Yuky8l1qdOniNqJljft2klMyc+Bh7Vq+1uo/wEbS8cRRtxt3Mhr2GSd+LMzLx3biV89tNu8mbdenEDQ/cR/sBffHR9oGWdc7lFTlniZk5G+cvZNYzL+jXB95+KyHh1cm6cpVVvxmmFesw/g5ajL7BpjLX7dqNJjePzLUbyd6+Sz8uszSqtW1F4flkitIuW9weEBpC3xeeIaaVMpFKZWiGNEcVNydQEcTN2jGc4VBizA19B5CwXxnB8c/qlbTraJtHmLMGbhrjjPM1PtcfvvyKaf97vkSegIAAQkJDkVJyJd3yefj4+tKgdStAcnKf6Yu3Xb/eDL3vHsIiI0lPucjllBTyc3Lo17odDZs0pmGTJvhZcMJwJ7rrdmjrdt648z59enTteFr17I7UaCgqKCAjpBr1evcgvF5di+VIKTmzcQs7v56tbxrTUbtpEyY/NZkRN92Iv3/ZUSyM62UJW1shiouK2LNmHSf3HaC4qIiAoCAia8YSGhGBpriIosIiiouKEEJQu0lj6jZvhn9gQIlyOodGMrR3P06fPAnAmMceZuzjhqh/K3+Zww9TlQkc/IKC6PPcZNJPJnJu+y5yUtPwD65GbJtWxLVvQ2itWuRnZJKTmkbakaOcWrWOorw8w8GEILhjO0RgINmbS04mHffs4+AjiEo8y+m1GyguLCQ0LpbQmjUJi4+jwYC+BEdHubT5UYe9z7Yqbl5ERRY3sP2Fb8vNfM/Ym1i/ajUA3/z+G9cOGWw1rysEzRL2ipy18ywsLGTSXeP5b9kym489+tGHGHTnbQSFBBMQFIRGo2Hd3L+Z885Msm0cP1cjKoohI0cw6uab6Nqzh1Oaeh3lkXvuZel8ZXapHsOHMvGd1/ELsCxE1qyn4a3bkHXlKn+89yHr/vqH4kLTCc1r1anN/ZMmcctddxAaZt35whhb72FNcTF5OTnkZWWTmX6Fnf+tZs3vc0lPuWjT/gABgYGMuHEsk194Xt8ycWj/AV55dgo7t2wFIKx6dd5euZiwyAj9foX5BTw7+AbSzpdvLGhs29Z0mnAPEfXrsnbnLi5+8hXFxoEHhODGX7/Dv5r1kICujHyjw5Hn25mu/qq4OYGKIm6lHaesl4OtN/bzjz/J7z/+BMD/pr3KxCdMYlq7RNCyz68nJL5vmflKEzlbz69GwUV+nfM3/65Yy+atO0lLS6e42BAHTwhBwyaN6dqzJ+PuuYv2nTubHEfH1bQ05rw9k43/LLRrLNgNN45lxvvvecQTNfn8efq27aA/32WbN3IpunqZ+5VmQTUqkHz3+Szm/PAD2Ub9kjpqREURGxdHzVpxyv+4OGJrxRETG0uxRkN2ZiZZmVlkZ2WSlZXF8Ysp5GVnk5uVTV52tn45V7ucn1N6LEZ7CAgMpEPnzlxJv8zRQ4dNtr358YfcevddJX73zYuW8vlkx+aTrV63Nm1vu5k6PbuZfOCc3bqDDW++r1+v378PPSc/YrEMe0XN0SZxTwsbqOLmFMorbrZ4TDpTFOwROHtv7jk//MgLT0wGYPDwYcz6RRE6Z9Tf1pu/LKFzpoeqlJK8vHwys7KRUlIU1bDUJkTza5xyOomdv/zJupX/ERwSTM1atahZqxZB1YJIOpXIoQMHSb1oalU0a9WSxevX4uvra/N5lAcpJUcPHWbKI4+yf/ceALr37s1vixeUyOtoK8DVK1f4+ZtvmT3rK9JSLYaKdSlRMTGMvuVmakRHkZ2VRfK582RmZODn74+fvz8B/v7k5uZyYM9ekhITrZbj4+PDlKmv8MBjj+oFyPyabF2yjCXf/kBuVha1mzTBt2VTols0IzvlIin7DnLx4CHyMzIJCA0hODqKkJhoanVqT832ba1a7RcPJJC89wABIcE0HT4EX7NmXUccxBzB0efcFYOzVXFzAhVN3Eo7pvGD6MiNfujAQYb36QdAwwZ1ObB7tUP1c8bN7ojIudpCtheNRsOOLVv59fvZLPjTMMh8+dZNNGne3KYy8vPyyMnJIbJGDYvbc3NyOH70KKkXL5F26RJpqamkXUol7dIlUi9d4vDBBC6lpJjsU1aTMzj2sZSXm8vcX3/jp6+/4cTRY2g0mlLzO0JIaAihYWGEhIZSt359brz9NgbfMFzvGFQWm9et551p09m70+AY4+/vz6Dhw3jkmadp2aZ1iX3cOZTBGHuG85SX8jw7qrh5KW07dpBbV89zeH9PiJutx7W/0GM0at4DgKgakSSd2F7GDgquDqtjS7OlvdjSHOqsa3z2dBL92hucc265606STiVSWFhAnfr1GHPrrfS5ZoDe21DHvwsX8fRDk8jPy2PYmNFcM+g6GjdvRvK58+zcuo3tmzdzYM9eCm0MweTn58fLb73BXRNKRrRwJjWl0tx78VIayckXuXAhhSMpWaRcSOZSSgqXUi7i5+9HaGgoIaGhhFZXxCokNJQwrXCFhIUSGhZmyBMWRnBISIlr5CjHDh/m3JmzhISG0qptG/3QEGt421g9T1lpxrjyuVfFzQlUVHGz9dhlYVy3w0eO07mHMoWSrZabu+PF2St0ttTP0T4/W3nrlal89XHpk23XqVePsbeNo0XrVvgHBCA1Gh68/U6Hj2lMRHh1+vbpzpOPPUCP7p2c+mHkyr7q8uCKerla4Fwpas56B7nreXeXuHnWj1nFKjVlusMvCEs3+/adhnFNTYym1bCEp4Kg6o5rLkjlqY+1Mo3RXS9HrneQDZNFnk1K4uO3HZt2qFnTRtSpU4uY6ChiYqKIiY4iNjaa2OgoateuRauWTU36+Gx50Vk7T2d+qJmXZe+1ddVHo7XnqqxoK64af6c7tj0489p4Y8BjZ6GKmxdjr8CVdtPP+WO+frlP725W83nDze6KOhiXaU3obA0fZszDk58g/XIaf8/5nYKCQjp07szoW2+mTv16rFm+kr9+m2N1jB1AWFgIkx9/kPUbt3HpUhpRUZG0a9uSPr260qN7Z6KjLPfHlQd3DfUo7ZgpItIj9dDVxRGBczb2iFpFs868AbVZshQ82Sxpaz1sOf7ppLO07nANUkp8fHw4vG8ttWvXKpHP0Rv/3M6lZeap3XmoQ2U7WgdbjufM/j7j38j4N8nLy2fh4hVs2rydM2fPI6XijLJn30HatW3Jpx+8Tt26not0UpUp7/hSR1AFTe1zcwrlETdbLSZPDXi257iTHn+eH376E4BBA/vxz9zvTLaXdvPbIlyuoHbnoU45tq2i6grHFhXvx10C56qoIZbwNjEzR+1zqwC4u1nFkePt3Z/Ajz8bXNUfe+Q+k+1lCduSTafZejCF4b3r062V5fnSXIGzRNW4nNKEzpa+OW/F2S8zb7wGzjpH83NzZROlu6w0bxczT1Gpxc2f4rIzuRlbo3aY48jNL6XkuRff0EfaGDJoAAOv6aOvhzV0gvDNggQ+m6t4iS3acJofXx1I60bO7wNyF7rzskXkwDtf8sa46qVmqVxnXwtPOi25SuAc8Xb0hoghlZVKLW4AFy+lEREeZvNAUB3l8Va0hu6mdFTg7GXx0pWsW78FUGbifuO150zqURr7T6TxxbyD+nWNlOw5mlqhxU2HLSIH3it0znq5ndu51OZmW3uvhTe/gJ0pcO5y3/fm6+mtOGfUpJdy9NhJGjbrTuMWvTiYcNTu/WvKdP2fpW32YH5zuvpmLS4u5sVX3tavP3j/HbRo3sSmfaWUvPfLHjRm/bG5BUVW9qiY2NP0mX1+vcdfMM6sg+7cHWn+tVYHXf08fZ1swVIdrT3TlgSsd0y8w5aaKmzuoVJbbtnZyoSNl9Ov8O33vzLz3akOl+WKNnFX9vNs2LSN4ycSAWWg7/P/e6zUuhiTFdGefcf/LJFeWOT8kEuexh7rBTxjzTnz5eYKB6GK+vK114IrL2oTpHup1OJmzPGTiR45ri03pytEbt5fS/TL424ZRVQN25tYF6/YaTH9q38SOJOSRZ/2tRjYpQ6BAe4JEOxq7BU4He5wQvFWYavML11nd0l4U9DiqkSlbpY05tKlNLcf096b01k3c1FREfMXGuY2Gzt6mF3lL15pELfJt7WnWqDhG2jp5iRenLWVkc8u4chpzwzCdQXlefG7oinO2U2QnhrS4e1Yu8bO8IR2pAkSvKMJvDJQqcWtaZOG+qkoDiYcJcvCvFSuwtGb0xk39vqN20hNUx6qWrVq0rNHZ5v3PX7qAgcOJwHg7+fD2AGN+OTpvsTVCDbJdzE9l4lvrWXz/uRy1dWbKK8IGPc5laf/yVuttcqKMwWutH768tRFxX4qdbNkaGgIrVo242DCEYqLi1m4eAW33Tra5cd1xg1aniavo0dP6Jd7dW5IbvJGm/aTUvLSW7/p1wuLNGRmF9C5RQyLZw7n8Ol0Nuy9wOzFR8jNL+JqdgGPz9zAaxO7cX2PenbX01uxdWycrdga4NlTouZos2xlwpoHsy1NlJU1kkhFp1KLG8DAa/twMOEIAMv+Xe0WcXMm2efXIyK6kJp6mTp1apWYFsTSAxEkL+iXL6dn2XysfQmnWbVhv0na8KcX065JFM3qRtCkbjjdW9ekZ9s4nvl4ExfTcykq1vD851uYv+4UI/s0IDQkgPjoYBrXdv+M1K7A2UJnDdVa8zz2CJyzAziowuZ8Kr24derQVr+8aesOioqKSp2RubyU5yY9fuoC+w8l0aRhLdq0qEtefiFT3/2dn+dOoLComI5tGvL7V08TER5SajlJZy/plxvVtz2qyMEjSSXSpIS9x9LYe8zQZ1k3NpSx1zRiycbTJKUo4rnlQApbDhgmzhzcrS6vP9wdP9/K0/Jt6/g4T6GKWvkpTeBcdTwV11DpxW30yCFER9cgNfUy58+n8PvchdwxbozTyi8sLKSgoJCQkOBy3ag//rGGZ6b9oF9v3jieq5k5JF+8ok/bfeAUzXo9yuJfXqRrB8tj1qSUrN5omHuqXav6NtchLsY2D7EzF7OY9ddBnri1HWdSsvh77UnMQ5Qu33aGtk1qcOf1ts1KbY3ComKWbk5i1+FL1I0L4/bBTU0cXDyBu6w5e1CFzXm4K8iCKmyupVIHTu7Usa3csPof3nr3U15740MAGtSvy6a1CwgPD3OozFOJSfzy21+sWbuZvfsTyMnJBSA2Opw2Lepxz60DuP6ajnpHFnOklPy3fh/zl20nMzuX6wd05OaRvegx/DlOn7lkcR9zGtaLZfPiNy3OXDxv0WYe/t9XAPj4CLYufZv6dWJsKrewsIj+Y17m+CnFSaR6WDVW/DGVbSsXcfzsVY4mXWHt7vPk5CmDuUOr+TP/3aFk5xaxaGMih06lczo5U2/N+fn6cOt1TejWKpaebePw97PPiruckceTH2xg/4nL+rSWDSKZOqErzepF2FWWO3Cn0LlCzLxFqL2FijLEo6KhzgrgBHTidvVqJq3a9+fK1QwABvTvxXtvvUxEeHWSUy6RdOYc6zdsZefuffTv25OXnn+iRNNldnYOr05/j6+/+5WiotIjdXRo3YD/PTaGa/u0NRG5S2kZPD11NstW7TbJ7+fnS1GRIQ6mr68PxcXKgOkAfz9ef+F2akSEcf/kz/R5vnrvIUYP7W5STvqVLHqPfJHUNOU8J941mNeeu83WywVA0rlUPv9+KecuXOaR+4bSo3Mzkxfplcx87py6knOXFM/Tp29vb2KdFRQWc8uLyzmdnGlSbpeWMXz13ACrom9OUbGGh95ey87DlgX/obGtmTi6tV3n5m6cLRauts5UcSuJKwSuKgsbqOLmFHTiBvDnvEWMn/CkTfs99sh9vDXjBf26RqPhltsnsvTf1SXy+vgIfH18KCwqGaS5S4fG3H3zAFo3r8uy1bv57tf/SCvDweOum/vz/ONjWbluH4WFxfTv1Zp6taMBeHb6j/zwu1IHX18f7rllAE89NJLY6HAuX8ni1gffZ+/BRABq1Yxk48LXCQ0pe6ZoWzB+sf61+gSvfa+MhWteL4I5Mwab5E1KyeTZTzZzNOmKSfrGr8YQHORv0/H+XnuS6d/uAEAIaNs4ioRTlykqNtyvQ3vWY1C3unRvHWtzuZ7GHgFxd1OjKm6WcZbAVXVR06GKmxMwFjeAN97+mNff+rjM/QIDA1j339+0aa1YJHP+mM/9E5/Wb+/dsysPTriTzk0kMVHV0WgkiWcu8sMfa5g9ZxV5+YVlHuOmET3x9fHhjwWb9FH7mzWKZ953U6gZY9nT8FJaBoNvmca5ZEMzXbWgAEYM7sK+hNMcPn5On/7DJ48x9NpOZdbDHs5sX0KxRkNeQTGDHltIfqEi6L/PGFyimbBYo+Gj3/fx01JDTM8x/Rvyyv1dbTrWXVNXcuCkcp4TRrbkkZvacvzsVV7/fid7jqWa5I0KD+KzZ/vR3AubKm3FWfPXlbcOKpZxVOBUQSuJKm5OwFzcAP5dsZZvv/qctZsPEhjgR82YSOLrNqBli6Z88plhEk9/f39G3TCYO++4kccnv0zSGUU4Jk64k/ffeZWcCxssHjP5Yjoffb2Yn/5cS0FhyebL2nE1mDn9Xq7p3QaAk6eT2bb7OJHhoVzTuw0BAaU7SyRfTGfS/75iw7bDFrcLIXh/6j3ceVP/Usuxl/2Hkhj/+MdcSr3CdV3rsGjjaf0286ZJHfkFxfSYYDpZ7JfP9bdpXrjBTyzkUrrSn/nsHR24bXBThBDkFxTz4pdb+W/7WZP8bRtH8eOrAx05NRMSNm+kVc/e5S6nIqKKW+k4eyxiVUUVNydgLm5l3Zg7951g5F1vWmxiBIiMCOfgnjV6Z5RS50S7kMbcRZvZuO0wR06cp2mjWtx1U3+GXtupTAErCyklK9ft4/nXfybpnMGK8fX14bM3H2Ds8B7lKt+ck6eTuf3hDzl5OsXi9vHDW/DEre0sbjuTksXIZ5eYpN01tBlP3dah1GM+9dFGVu80WKJ1YkO4oXcDbr2uCeGhAew6ksq81SdYutkwfOG2wU0Z1rMebRpH2XhmJUnYrAx4r2oCpwqbirtQxc0JWLLcrAmSrtlh67ZdvPjK22zeWjJ48BuvPccTj04osyx3cSktg0++XUJuXgG1YiMYdl1nWjSp7bTyr2bk8P6sBXz7y0qrgg/wyv1dGNO/kdXt3yxI4It5B02m0Pll2nW0amh9brhzl7J48M21nE81DZkWWs2fL6b0o03jKC5n5DHosYUm5QoBHz3Vl77ta9lyiiqowqbiXlRxcwKWxE1HWWNZ9h84zPc/zGHhkhVcuZLBk49N4Pkpj9kUIaQysGvfScY/8YnJODuAscN70L5VA8JCgygsKkakH+e6rnXK9II8ePIyd05dqV+f+URvrulcuhBfvJzDx3/sZ82uc2TnGZp4B3ery9N3dCA6PIjvFh3Szxauo0/7WnzytPdMLurNqMJmG7p3RWV93t2JKm5OoDRxcyaV7YY/fPwcQ2+bQXZOnj6tW8emvPa/cXRsW9JCK80RIjkth9mLDzN/3SnyCgzWX1xUMBGhAfTrGM+wnvWpX8v6uMOCwmIWbzqt957UMaBTPDdf24RH3ltnkt63fS0+VsWtTFRhsw1LH8GV7Zl3J+4St0ofocQdVKaOZo1Gw8RnZ+mFLTI8hLdfvotR13ezap1Z8/Q7nZzJ3dP+IyO7oMS25LQcktNyOHz6Ct8tPMSMid0Z0qMemTkFfPHXQZZuOo2vrw+tGkTy0NjWjO7XkF+WHeXEuQx9GWt2nadeTVNRbFArjEk3tinPJai0qGJmH6W17KiWnPejWm5OpDLc6IePn6PfqJcAZXD5yj9fpVWzujbvbyxyX/x1gK/+SbBpv4iwQBa9N4yH31nH/hOmc+8FBfjy7mO9CA32597XVpVazs9Tr6N1I+t9eVUNVdAcwx7X/8rw3LsT1XJT8Qi66CYAndo2skvYwNSKu6ZTbX5edlQfrgsUoerboRaDutVFo5E89/kWQIl8MuGN1Rw+faVEmXkFxUz+cAPP39OZ/z4dycBHF1g9/qtfb+PX6YMI8K84s4SXJUD2jH9Txaz82DumTbXivBNV3JxIZWieNLbkCy2M07MFncC1aBDJn68P4ct/DlJcLOnfKZ4+7WuZBD4+n5rNx38o0+wYC9uIPg0YN6gJz3yyiQupORQVS177bgfv/GRZtIICfMkrKObEuQz+WXeKWwZaDiztCjKyC/h+0SHW7blAbn4R7ZpE8ewdHYkKD3JK+apguYfyRiJRRc67qDzzkXgJ7ogm7goSz1xk1g//8uTLhoHswdUCHS5P90KOjwlh2gPdmPFQdwZ1q1siov8tA5tQK9p0lm9/Px8evbktrRrWYPbLA2la1xCxRRcVRUdosD8fP9WHiWMMcSaXbSk5dY8refS99cxefIST5zK4kJrDv1vO8Onc/WXviCpc3oIzn9uK+g6obKiWmwuoCBZcfkEhy1fvYdvu46zbmsCho2dL5Lnr5vJFOTF/cVtqXgup5s/Xzw9g5m972XUklVpRwTw4uhWxkUpMzNjIanz7wjV8vSCBFdvOkpyWQ6C/L60b1aBzixhuHtiYmIhqNIyvzke/7wMgKdn2CVrLy4XU7BJ9hAAb9yWXua8qbN6BK8RIteI8jypuLsKbBS7l0lVunvCuSSxKY4KrBfDsI6MZM6y7xe2OYullfm7nUmrHhPL+49YjgoSFBPDUbR2YPK49aVfzCA8NwN/PtHmyVnQwfr4+FBVrSLuaR05eocuDKRcWFbNgfaLFbbpZHayhCpvncYeFpYqc51DFrQohpWTF2r288OavJrN1AwQG+NGvZ2uuv6YjQwd2JLpGdbfUyZrgWUIIQXSE5VkOfH18iI8O1s8ld+ZitksDKRcVa3j0vfVsS7hocfvljHye/ngjEaGBjBvUhKZ1XVcXFftxd9OhN3/sVlZUcXMh3nRDZ+fk8/CUWSxbvUef5uvrwwN3DqJ31xb07taC0BDnOECUF2PBs8dTsGF8db24/bTkCK/c38VlXpN/rTlpVdh0rNqhWMaLNiby3YvX6ocoqFabZ1H7xKoGqkOJi/GWB+n1D+eaCFv1sGp8/f7DTJ8yjiHXdPAaYTOnduehNovB8N719cuLN51myJOLeP/XPZw0GvjtLNbuOl8i7dbrmjC4e8mhEwWFGr6er4z3U4XNs3jyefSWd0FVQRU3N+Dpmzo7J59f/zKEqLp1VG+2LHmLGwa5fByl07BFFAZ2qcOATvH69SuZ+fy87Cg3Pr+MB95czaHEdKfVp2urWIvpbz/SkzmvDeLV+7uYRErZciCF8BYDnHZ8Ffvx9HOo4l5UcXMTnnywlq3aRU6uEgKreeN4Pn79frf1qTmTsqw4Hx/B24/05NGb2hBXw3R4wY5Dl7hn+n/sPHzJyt72ER8dUiItRuvh2bx+JKP7N+KBUa1oGK9c5/zCYl5953enHFvFflRhq3qo4uZGPPWA/blws355QO82ZUbw93ZKE7kAf1/uH9mKRTOH8ekzfRnYtQ5+vsr5FhZpmP7tdpwRcu7w6ZJWYFJyZom0+0e01C//NHctW3cdK/exVVRUyqZMcRNC3CSEmCeEOC2EyBVCHBFCvCmEKBHGXQjRQwixTAhxRQiRLYTYL4QYZ5ZngBDisBAiQwjxpRAiwGhbAyGE1P5da6H8DUKINQ6eq1fgCYEzjjSyasN+NJrS3dQrCqWJnK+PD73b1eK9x3ox57XBBAUojiVJKVm89t0OzqSUbyxcx2bRJdIWbThNVm6hSdqwXvXo2sEQLWXXvpPlOq6K/ahWW9XEFsvtGaAYeAG4HvgCeBhYIYTQ7y+EGA6sA5KB24FRwNdAkFGeEOAPbfoYoCPwhJXjvm7nuVQY3P2w3T7WcLxjJy+w/5B7I3i4mrL64xrXCef6nvX063+vPcWoKUv45M99DltxfTvEM/m29iZp0RFBBJtFYKnTZRh1axuE0Fsdd1RUKhu2iNsIKeUtUspfpJRrpZQfAo8D3YEBAFor7nvgcynleCnlEinlSinlx1LK2UZltQTOSCnfl1L+B7wG9LNwzOVADyHECIfPzMtxp8CZT7BaLSjASs6KS1n9cU/c0o5WDSP161LCdwsP89ncA3qBK9Zo2JaQwr9bksi0ME2PMSu2neEzsxBbj93SFh8fQ5Ovrj7hYYb+v4XLt5c5wFvFeahWW9WlzHFuUkpLPfDbtf91UynfDMQA75dRXBLQRAgxANgP3AkctZBvLhANzBBCLJKVdF4ed4yD++GP1Tw77Uf9estmdWjaqJZLj+lJdIJiPj4uIiyQH18dyKZ9yXy/+DC7j6QC8O3CQ2w/dJHB3eqyauc5dh1RbvfGtavzzqO9yMgp4EpmPlezCggPDaBnmzg0UjL1m+0UFCoiFRzkx8v3deH6HvVK1ANgxOAufD9HmapnzaaDTJ/5B7eM7E2j+jUr5YeGt6AKW9XG0UHcuqCDh7T/+wCXgbZCiCUoFtoF4BtghpSyGEBKeVEI8RKwQnvsHcAkC+VL4CVgCXArMMfBeno9rhS4S2kZTH//T/16vToxzHpnYoV3KLEFSwPBfX186Nshnh5tajL5w436+I/7jqex77hpfMgT5zK48fllJcptXi+Cu4Y210/jU7NGNWb9rz8Nahm8T80tyD7dW/LIvUP57HulHl/M/pcvZv9LXGwE8394nob1LA8rUFFRcRy7vSWFELWB6cBKKeUObXI8EAz8CswGrgN+AF4G3jPeX0r5CRALNAW6SylLRp1V8i0FNgDThRA2i7AQ4kEhxA4hxI7U1Mv2nJrHcNUX5nufzyczKxeAJg3jWD1vGi2b1nHJsbwZXZOl7s/fz5eZT/Rm/PAWek9KWzmSdIWXvtyqX+/XIb5UYdPx8lM30b9Xa5O05ItXGP/EJ2ozpQtQrTYVu8RNCBEKzAeKgHvNygkCpmv709ZIKV9CcRx5RAgRblyOlDJdSnlcSlnWU/0CigiOt7WOUsqvpJRdpJRdoqMrzozMzn4Y8wsKmbfYMARg+pRxhIVajstY1ajdeSgNe9zAO+/8j+3/vsvDY1szoFM8I/s24Jdp1/HoTW0IC/bH3095PPq2r0Wn5jEWy4oICzQp1xo+Pj68+8rd+PqaPnKHjp4lJzffCWelokMVNhWwo1lSCBEELAAaAf2llMZzpOisrxVmuy0HHgJaA5vsrZyUcr0QYhnwihDiJ3v3r2g4s4ly/ZYEMjIVq61enRgG9m3nlHIrG7VrRTHttWdM0lo1XMor0542SZNScvvDH/DfelMnkpE3jaZ2p6Y2HatB3VgiI0JNZjsH1I8OFRUXYJPlJoTwB+YB3YBhUkrzmRgPav+bO37o2nzK0+7yIlAHRSRVbOTvpdv0yzcM6lwl+tmchSULTAjBF29PZMiADoAyketr/7uN7jYKG2hnObfgG6UO7HYe3my1eUsQ9aqCLYO4fYBfgIHAKCnlFgvZ/tH+v94sfQiQBxxwtIJSyl0owvoCUDLmUSXDGQ/n8jV7+HOBwVAeMbjixJD0ZiLCQ/jpsyc4vfNLjm3+lIl3D7ZrfyEEP376BHGxESbpx09dcGItVVRUwDbL7TMUV//3gGxtFBLdXx0AKeUBFEeS6UKIKUKI64QQbwETgLellOWdGvllIAroUM5yKgTlFbj5/27XL8fHRdKxTcPyVknFiGpBAfj7O+Zo3KV9Y5b88pJJWrPG8VZyq9iDN1ttKu7HFnHTtdG8CGw2+5tglG8iMBN4DMWFfyzwlJRyankrKaU8DFT6PjdjyvOghgYbomCMHtq9xCBuFc/y8tu/6ZebNqpFp7aNPFibyoEqbCrm2DKIu4EtBUkpC1DGpr1UVt5SykjE0E9nvu1eTD00Kz2OOpi0bGZw909Ocd40LyrlZ9mq3SxeuVO//t6r95TwoFRRUSk/6lNVCWnX0jBp57LVu8kvKCwlt4q7yMrO4/nXf9av3z62Lz27NPdgjSoP2efXqw4bKiY4GqFExQ04+rB2bGvoY8vJLWDvwUS6dbTdq0/FNSxdtYtzyUpggajIUF55+haP1cU4PFllmh3c/JnxluZKVXjdjypuXkp5HgYhBB3bNGT3gVMAPPHSd6z9+zUCAvyQUnL0xHnWbz3E9t3HiYwI4Z5br6mSkUvczaGjhqGht4/tR42IULce3zzepnl6ZRI5HZ4QO1XIvANV3CopU5+9lVsffJ+8/EJOJCbzx4KNhIYEMXPWQg4fP2eS97vfVjFicBc+mnEfoSHqgGJXUVhUrF8OCHDPo2dN0ErL6w6R85SgliY8jgqfKmbeiSpuXogzHpaeXZrz6P3DeO/z+QA89ersUvMvXL6D9CtZ/PLFZDVSvYto08Iwa8ABF82pZ4+YlVaGq0THvH621tcdImjtuTMWPVXIKg6quHkZznx47ryxH7N++Jes7DyT9OBqgVzTuw09uzRj044jLFm5C4AN2w4z4anP+f7DR8ttWagvhJJ0aN1Av7znYKLTynWGoFkr0xmi4izBtYQnRU/FuxGVdKo0ADp1bCs3rP7H09WwC2c/SNt2H+PhKV9yPiWd2rWiuHlET+6/fSDRNQyR7D/+ZjEzPpirXx91fVdmvfOQwy7q1pp3qvpLorhYQ+Puk/SBkveumkmtmpFl7GWKK4TMFhwRkYpUVxX3Edv63p1SSpeHTVItNy/CFS//bh2bsnPFe0gprcaXfHzCcLKz8/jgq0UAzF+2nfyCIt55+S7iYu17+ZbWb6HbVlVFztfXh/atG7B5xxEA9hw8ZVXcPCUM1rC1qdIb6m1eB1XsqiaquFURygqc/NzjY8nMzuObX1YCymDjDVsP8dxjY7jvtoH4+fmWeQxbO+TdMQO5t9KhjUHcFq/YydBrO+m3uVMYEjZv1C+36tnbpn1Ka6r0BlGzhiebNFU8h9os6SV4w8teo9Hw4pu/8u2v/5mkt2lRj3dfvZvO7Rpb3Vf1NLONnftOMPS2GQD4+/myc8W7xMVGekzYjLFV5KoCqvC5Dnc1S6ri5gV42wt+w9ZD/G/GTxw7aYhW7+fny1fvPcQNg0rek84YO+Rt18CV3HDnG2zbrUxz88QDwxnf1z2TXVgTNWNUgbOOKnjOwV3ipobfUilBn+4tWT1vOi8+eaN+WEBRUTEPPjOLVWaTdTprUKy3RJJwBw/dY5gqZ+7CzbjjA9MWYbMnnydI2LxR/+cJzu1c6tXNryqmqJabh/F2i+X02UuMmziTE4nJgNJEuWreNJeKkbdfk/JSVFRMs16P6odozH93KPVqhrnkWI4KgTstOGeLlbvqrlpyjqF6S6p4BfXrxDDny6foOmQKACdPp7jcyqrsXpV+fr706tKc5Wv3ArD7SKrTxa28gpGweaPLRMLVlldp5TvznCpz2LLKgCpuHqSivLzr1Y7G19eH4mINObn55OfnExgY6PLjVmavytBQQ5gzZ7ee2CoeWw+lAtC9ZbTVcpwtcJ5u9nSF8Kki552o4qZSJkIIIsNDSL2cCUDC4WN0bN/Gw7Wq2Jw+e0m/XKem8wIo2yMe1kTNVXha2MrCUv3sETxXhi1TsR/VoUTFJmrXitIvD7juJp6eMo2zZ8+79JiV1WoDM3GLce/sALaiek563olFxXFUcVOxickTR+DjowwELyoqYtbXP9Hvuhu5cCHFwzWreGRl55GalgGAv58PMZFBHq5RSSpbc6RK1UMVNxWbGDawE3O+fJrWzevq01JSLnHfxKdJv3LV6cerzFZb+tUs/XKN6oH4+jjnMXSWgKgWm2Vsub7OHiqgDj1wHFXcVGxmQK/WrJo3jTdnPK9PW7d+Cz37juDMGdubKDUaDRs3bed00lmL2yuzsAEUFhbplwP8yw5rVtGpTFabO89FJ2yqwDmGKm4qdiGE4LFJ9/Hwg3fr086cPc+N4x7glzl/M3/hv/y7Yi3nzydb3P9y+hXuuf8JBg+/jVbtB3Dt4JtZvnKtu6rvFRQUGiYt9ffzrkdQtdq8A0fnvVMx4F1PlkqFIOfCBt57+xW++uJdfdrBhCM8+PCz3H73I4y95X6at+3HPfc9walEZVLOrKxsxk+YTN1GXfjrH8ODunX7bsbcfD8//PwnUPmtNjC13PwdnFbIFbhC2CqT1aajrHNylRCpAmcf3vNkVUEqesipO8aN4eknJ1rcptFomPv3Yjr3uJ7Jz7zKsFF38ee8hVbLmvTY87z/5kuuqqpXoRtSAVWjWVLFPkoTMVXgbEcd56ZSLqa98gzXDOjNqtUbOHP2Anl5eZw7n8yu3UoMyvz8Ar769heTffz9/YmrGcMdt41lybL/2Lf/EACvvvs7PTo3o0Obhm4/D3eyaoMhPmerhvbNl2eN8lpIanOkfbgqgost4qWOp7MNVdxUyoUQgmv69+Ka/r1M0rdt383T/5uuFzkdr774FFOemaRfn/TQPVw/dCwJR88gpWTRih2VXtxWaMNuAfTrEO/BmihU1DBbjqCLymKMo4PZSxM4RwTIHqvM1QJXGQRUFTcVl9Cta0fWrpzHsn9Xs2HTdvLy8hg+7DoGXtPHJF9UjUj69mhJwtEzAGRm5XmiuiWaiF3V93fydDInTytjA4OrBdC5RYxLjmMrVclisyRspaXrcEckF0eaG10hQMb1qOgCp4qbisvw8fFh2NCBDBs60Gqe1JP/MW/xFv16x7but9rc2fe5Yu0+/XK/nq0JDPBcn5srhc2brLayxMvW/S2JnDOaJ8vTj+YsAbJWh4oscKq4qXiM7PPrWblunz5aB8CYYd3ddvzSRM1VQZv3JiTql/v3bA0UlLtMW4WkKllpOsorbOZl2WPF2SIMznAQKY8AVeY+PlXcVDyCTjgC/E1vwTUbDzLkmg4uPbatlporBO5koiFcWfPG8UCiU8vX4Ukh8xarzZnCVhqOWm/O9Hy0V4DsPbazBM6drSTqUAAPUxGHAzizzoP6t6Nrhyb69aWrdjmtbEt4+nqnXLqiX46Pq+HUL+JWPXvr/1Rcg7sE0xFstcIcFdWKNgxBFTcvwNMvXFsIie+r/3NmeT4+Pjx6v+EF/+tf6/nyx+VkZec6fZ4zb7jONSINMwBcuZrtlDK9SdC8xWoDpY/M2c4g9pZXmiDU7jzUaR83tpZVnmOWt67ufv5UcfMSnCkczsBYzFxZr5D4vgwZ0IGBfdvq015++zcadZtE35EvsXPfCacdx537WSO+Zg398onTSoiyitifUZFwlshZK6O8HxaOCo5uv/Lsa0/+ioba5+Zl6F6mrnJF9yYB1RFWpz+//tqFwdePYu/BRH360ZPnGXrbDAb2bUtAgD/ZOXkUFRUzYnBX7r/dugemMd52vu1bN+DfNXsA2Lz9CDfd0JOd+05y/EwYycd24+vjQ6+2ccRFBXu2og7gTVabJVzh0u9Mi1knIGU1/zlTaGw5ZkXra9OhipuXUl5nBm97qZdFaGgIixfN4/lnn2LVhv2cS76s3/bfetOB4Ju2H6FWzUiGDexUapneeA16d2sBnynLP89bx9JVu0hLzzLJIwT0bBPH6P4N6d8xXg3RZYSxmHi7mDqKNcFxpfXkiWO6GuHsfg1volPHtnLD6n88XY1yY4vIeeOLvDzs3fgHd0z6kFNJFy1uv3VUbz55Y4LV/Z15PZxpRRcVFdN7xAtWz8uciNAAhvWqz6h+DWlWL8Jp9XA27hCa0qwkTwidrVZbeQTCU274zjyu+bMYEtlkp5Syi1MKLwVV3CoIxi/YyiZk1igqKmL3ngOcTjrH19/+zIZN2/XbHh4/hGnPjrO4nyuujzMFbu3mg9z64PtoNMqzF149mAG9WlM9LJjEM5dYvyXB4n6tGkYyql9DhvaoR1hIgNPqU17cJSy2iomnhdYSFdkCKi+quLmAyiRuVZWCggJuvn0iK/8ziEv1sFC2bFhE/Xp13FYPp493O53M9j0niKgeQv9erQkK9Ndv275sLgvWn2L++kSS03JK7Bvo78vArrUZ3a8RnVvE4OMjnFo3e/FGMdHhiro5UpeqKm6WPjRVcXMCqrhVfD769BteePkt/XrrVs35ZtZ7tGvb0q31cPc8c+d2LkWjkWxLSOGfdadYvfMcBYWaEvlqx4Qwsm8D+neMp1HtcLdPfurNwmaMM+vpaH2qosCp4uYiVHFzPvn5+Rw/cZrExCTi4mJp364Vfn6mfkkXki+SlHSWgIAAwsJCaVC/Tok8xhQXF7NoyUoys7K5fvAAoqMM7vJjb5nAvyvWKMujh/Ltl+8TEOD+JjlPTKJq3Ll/NSufpZuTmL/uFIdPX7GYP8Dfh2Z1I2jZIJJWDSNp2bAGjeKru0zwPCFsGo3kcoYSXDvQ35cAf19Onc9g7uoTnEnJol2TKMYNakpUeFCp5Tpa9/IIrbvFzdWe17Yev0S6Km7lRxU35/LTr/OY/Myr5OYaIvfHxERx09gbuGHYdXTr0oE33v6EDz/52mQAdmBgAB3atWbUyCHcOHoYdeoYpnkpLi5m9M33sWr1Rn3eawf0ZuSIIUiNhkmPv6DP+8kHM7hvvOV+NnfgaYHTcTgxnX/WnWLp5iQyskuPTRno70uzeuG0aliDDs2i6d8xnmqBznGSdpW4SSnJyNWQfLUIn+iGJKVkcjo5i6TkTM6kZJFXUFzq/oH+vozu35AxAxrRrG44QtjXbGvtvBwRNp0YJ6flkJFdSLu+g6lXJ4ZqQQEknUvlv/X7OHAoCV9fH6qHVaNty/p07dCE+LgaZRduBUui4ol7VxU3F6KKm/NIuZhK207Xkp1dsg/IXnp060THjm2pGRvN7j0HmL/wX5v2W/DX7BJT5rgTbxE3HfkFxazZdY6V28+ScCqd86llRzwJrebP9T3rMbpfQ1o1jDR58RdrNCReyORw4hUOJaZz/OxVhIDIsEDlr3ogodX8OXbmKlv3JnE1p5ioMD+6NapG72bViA715XRqIX/tyCQrT0OTmgEM7xBKeHDpQxkKiyWHz+ez/WQepy4VcOFqEbkFznkvRYcH0aNNTXq1jaN7m5rUqF66RQeQdjWPhMR0aoQFlrhGxmg0kjkrj7Fm53ly84v016hYI0lOyyHlcg4pl3MpLCrZnBwWWo3MrFyrdejcrhF33dyfcaP74ONjm+VtiyOVu+7hUoOSq+JWflRxcx5/zlvE+AlP6tf79enOkWMnSUm5ZDF/7fg4oqNrcPFSGhcupFjMYy+ZaUdtftBdgaead2yN6Zeemc/hxHQSTl0mITGdhFPpFh1SdDStG06zehH4+ggSL2RyNOlKmVZRaQT5C/KLJMavlOAAwahOYTSMDaBYI0nNLOZSRhGpWcVcyiwmNbOI9OySL//SCAv2J8Dfl/yCYvIKigkO8qNbq1g6NI1m6ZYkDp68bHE/IaBF/Uh6tY2jZ9s42jWJ0jfZSik5n5rN4o2n+WbBIb0g9WhTk48m99GPNSwsKubNH3Zx4ORljp256sBVso87b+zHzOn3lpnPHg9hd9zHqri5GFXcnMfcvxZzz/1PADBqxBB+/fEziouLWbt+C/MX/Mu6DVs4euwkwcHVuP/e25gxdYq+n+1SahpLlq1i3t+LWbN2M8XFJV+gMTFR7Ni8lIyMTBYsWsGChf+ydftu/fa+vbuxdOEvdjcxORNPiRs4HrT2ckYehxLT2X88jSWbkziTklX2Tl5AcJAf9WqGUi8ujHo1Q6lfK4x6NZXliLBAq/tJKdl68CL/rDvJ1gMpXMmy3mxbLdCP+OhgosKDSErOIvmy5Q+Bwd3rcv+IloRW8+f7xYeZu8q+kHDVQwKIiwqmeog/yWk5nE/NQaORBAb40btbS/r1bEVggD8pl66wc+8Jtuw8SmGR4RlpUDeWpo1qERNVnZFDunJtH0OouvIMe/FUFCRV3JyAKm7OY9m/q7lx3AMADL6uP3//+W2JPGmX06keFoq/v3+JbToupaaxZu1mzl9I5uLFNFIuXiIivDoPTriTZk0bmeRNTrnE6dNnkBI6d2pbarnuoCKKmzFSSnYdSeWftSdZuf2sRSstJrIaLetH0KJBJC3qR+Lv50N6Zr7yl5FH4skzRIf50qJWIHHhfiScy2ft4RxOXSogR9uUWLO6LwNahrAqIZtLmWVbgkJAbJgvHesHMWpoFxrXqU50eJDVDxlbw1QVazQcTrzCpv3JbN6fzL7jaRRrnP++qxsbyisTupCZXUh6Zj5CQFyNYOKilD/zPs7ComJ86vQgukYYwdVKCvXlK1lMfuV7lv5neYaMd165m0cmv+KUujv7nrZFbFVxcwKquDmP9Ru3cv0NdwDQu2dXli/5zcM18gwVXeB0ZOYUsOPQJTJzCiksKia2RjAt60cQHVGt1P2sOVvonEByCyWx1X3xEYL8Qg0bjuaScD6fy1nF+AiICfMlOsyPmOra/2G+1Ajxxc9XEbKynDaseRzacm0ycwrYnnBRK3YpJfooQ4P9aV4vgr7tazFuUFNe+Woby7edsVremP4NCQ32Z/zwFjb15dlyHjqysvOY9NxXLFu1u8Q2X18f3nvrFR64/w6ntGQ46562eZ5EVdzKjypuzmP+wn+5/e5HABgyaAB//fGNh2vkGTwpbuA9c2q5chiAO6bvkVKSnpnPpfRcUq/mER4SQIsGkfj5+pjkWbjhNCu3nSEpJYu8giLCQwNp2SCSB0e3Ij46pNz1KEvkUi9nsHbTQU6cTmHuws0knjGEbWvdqjmDBvajaZMG1KtXh0YN69Ggfl2bj602S1ZgVHFzHsaDqSdOuJOZ7071bIU8hKfFDVSBq4zYMgYu5dJVbn94JvsPJVnN069Pd36a/YnJWFFz3HkPe3IQd5muZ0KIm4QQ84QQp4UQuUKII0KIN4UQYUZ5GgghpJW/CLPyBgghDgshMoQQXwohAqyUc62FumwQQqwp3ymrOMLp02f1y/Xruy/slYr34k2TpFZ0dDNkl/bhUjMmnEU/v8gj9w6lWpDlQAbrNmzlrnsfJ9mCF3P2+fVu/zjzxDF1lGm5CSG2AEnAfOAs0BGYChwGekkpNUKIBsAp4E1ggVkR26WUxdqyQrT53gb2aPP/KaV8V7tdVw7AFillT7O6bACKpJQDbDk51XJzHoOH3cbGzUrg4l9++JTRI6/3cI08h2q9lcRbYji6kvKco7PjUWZk5rBh22H2JZzmzPlUTiYms3PfSf12Pz9fbhwznFdenEyMf6IjVXYJIfF9vadZUggRI6W8ZJZ2N/ADMFBKucpIlB6QUlrtjBFCdAG+lFJ21q6PAB6UUo7QruvKWQ4MBkZKKRca7a+Kmwc4cvQEnboPAcDHx4cj+9cRHx/n4Vp5Dm8QN1AFzl14Oi6lrWG73v38H979bL5JWmCAHz9//iT9e7a2+7iuIrb1vd7RLGkubFp0c4/UtvN4SUATbdNkFHAncNRCvrnALmCG8OTAJhWuXM3gjnse0a8PGdS/SgubinVcIUSenJA0YfNGpx/fkTJtabIEeObhUXz13kP06NxMn5ZfUMTzr/9MZfatsIaj4R76a/8fMkt/UwhRJIS4KoRYIIRoa7xRSnkReAlYAaQCjYA3LJQvtfnaAbc6WEcVJ/DSq29z6PBxAAIC/Hnu2Uc9XCMVHd4YZb6yCJyrj6kTOUeFzhJCCEYP7c6CH5/n/anj9enHTyUz8Kap7EtILEeNKx52i5sQojYwHVgppdyhTc4HvgQmAtcAzwBtgU1CCJO5SaSUnwCxQFOgu5QyzdJxpJRLgQ3AdCGEzZFehRAPCiF2CCF2pKZaDsOjYjtr1m7SL3/y4et06dzeg7XxDrxpstiqInDuwhXWmiuOWZYld/vYvsRGh+vXDxxO4rqbp/Hb3+spLrYv3FlFxa6hAEKIUGANEA90k1KeLSVvXeAgsEBKeaeN5TfAqO9OCNEXWGe0rva5lYOrVzNZtnw1J0+dpmZsDDcMH0RsTJTV/KeTztK200B9uKyUM3sJDS3/2J7KgLf0u4H39b3pcLZIuFI0Pdn8aY6z+uX2JSTywNNfcCrpokl6q2Z1WfP3dIfrV17c1edms7gJIYKAJUAHoL+Ucr8N+ywBGkspm9t4jAaYOaYIIZYCrVEsvf9Qxc1u0i6n88ln3/HFVz+SlWWIyhARXp0vPn2LkTcMLrFPcXExN417kOUr1wJVOyqJJbxJ3HR4o8h5u8C5QtS2Hkq1uq17y2iby3HWpKhbdh7l5gnvkl9QpE/r0bkZc758ymL4L1fjVeImhPAH/kHpa7tOSrnFpsIVYWoopWxhY/4GlBS3TsAOYDJwMxVA3Ep78bmzSUtKycyPvuKd9z83ETVj/P39WbbwF3p072SS/vzLb/Lxp4b4kcsW/ULf3t1dWt+KhjcKHHifyHmjF6Wz6lSakJWGu0Xu5Olkegx73mT7bWP68NGM+x0quzx4jbgJIXyAOcBIYLiU8j+bChaiHnAA+FtKeY+N+zTAwpACIcSfQD/gPHDV0+JWnpeaO8Vtx8699L/uRpO05s0a079vDxYtXcn588pUNO3atmTT2gX6OHU///YXEydN0e/z1BMP8trUKaiY4q3ipsObRM7TzX7GAuFoXRwVstJwVOR2HbnEX6tPcvzsVZrUDad/x3j6tK9ldSLa2p2HsnnHEd759B82bj8MgI+PYPfK96lVM7J8J2En3iRuXwAPAa8Di8w2n5VSnhVCvI/inLIZuAQ0B54HwlGcRo7YVBnr4tYCRSh9gbWeFDdnvNDcJXB79yfQq99I/frECXfy3tuv4OPjw+mks3Tucb1+Vu0nH3uAxx+9H01xMZ26DyEjU5kaZcTwQfz642cenUfNW/F2cdPhLSLnaYErD64QNmPsEbl1F8L58p+EEukRYYE8NKYVYwc01s9TZ4kJ7+3QD/j+9oNHGDHY5TpjgteMcwN0tu2LKOJl/DdBu+0g0AfFY3IFSgSTjdghbKUhpTwM/FTecspLRXmZ6WjfthW3jxujX8/MytaLVP16dejTq5t+24effE2j5j1o0qq3XtiaNmnIN7PeU4WtglO781Cv8KqsiF6UWw+lulzY7DlOUbHkpyXmI7AUrmTm89aPu7n5hX9ZvfNcibFtOXmFrNl1jgOHTuvTKvP4NzVwso04U9jc2TS5a/d++l6rCFxwcDXOnNhBUJDSifzhJ9/w4itvWd138fyfGNCvp9XtKhXvg8cbrLiKYsGVV9TOXzF1uY+PsO0jsTQrLjOvmIe+T9avPz20BpmBcSxYn1hi1vVe7eKYcmdHNu1LZu3u8+w8fJGiYsP7PizYn0XvD6d6iBKn0l0fQO6y3GweP1aVqajCBtChvSHsTk5OLkePnaRdW2Xo4aMPj6dhg7rs3LWPLVt3sX3nHgoKCvHz8+OVFyerwqbiElr17F1hBK482CpmxpTVPBka6ENkiA/p2YpwCiHoX+sq9709lDkrjvHNwkNk5RQCsGlfMqOnWBvwDS+O76wXNjB8+NgicmV9JHlDS4FqudmAuyfzcxZSSh5+7Hl++mWuPm3P9hU0bdLQYv68vHzOnb9AbEw0YWGh7qpmhaaiWW7gHdabJbxR8NzRJKnD1n63XzddZfFepeugY/0gnhmmjFVt1bM36Zn53DV1JecuWfaOblo3nI7Nohnasz4dmtnez+cI1gROtdy8hIr48gI4fiKRTt2H6AdgAzz84N1WhQ0gKCiQxo0auKF2lYeQ+L4V9h7xNsz75LxB7Lq3jHaLwNnjUHJNq2C9uB2+kG+yLTIskN9nDGbG9ztZuf0MQgi6tYqlf6d4+nWIp2aNYKfWuzTO7VzqUQtOFbdSqMjNkZMee95E2G4cM4y333jRrXVQ8U5qdx7qtdabMd4idq4WOHuEDSAu3PDazi2QaKTExyi+fEg1f96c1IPpRd0QApPZxd2NJwVOFbdKyO49B/RzrwHUrRPPe2+/iq+vrwdrpaJSPrxF7JyJvcIGcCXH4KgS5C/0wpaweaPJNSptOIA78ZTAecfZeyEV1Wp7Zdq79LlmtH7dx8eH3duWlxpDUqV8eFMgZVvxhg7/8qKbCdwdM4I7IkJlledomVuO5+qX60f7O6tKLsUTLQWquFUiioqK+Piz70zSpr78NNWqBXmoRireTGUQOGNcLXQ6QSqv0JVnfyklaw4ZnEX6NHNfH1p5cbfAqc2SFqioVlty8kUKCwv169/Meo9xt4xy2/FVVLwFVzdhmguUrX1y5RXGExcLOZuuBEAO9BP0bFLNZLt506S34U6BU8WtErFpy079cscObbjt1tGeq0wVo6J6TVYU55Ly4ozYkqVhi9g5o2lztZHV1qNJNaoFqI1v1lCvjBkV8QUFkJ+fzyvT3tWvt2/XyoO1UVGp2pg3YTpD2HILNGw+Zuhvu6al5SbJyuBo4wxUcTPC2cLmzibJuX8v4czZ8wDUiIzghSmPue3YKhWbytb3VhbubrZzljPK1hO55BcpQTfiI/1oUjOgjD2qNqq4VRLWrtusX77rjpuoXbuWB2tTNamIXpM6qprAVUSMmySvaRmsn6JKxTKquGmpyFYbwKHDx/TLH336DdNf/6BSR/xWUSkP3ux0YYnkK0UcT1GcxXx9yvaSVJsmVXGrNNSvV9tk/e33PmPe30s8VJuqi2q9VRwqksAdOGcIs9WubhDVq6kBGcpC9ZZ0AZ54wc369G1atWzGZ1/M5srVDAAmP/MqLZo3oU3r5m6vj0rFRCdwVcGDEirODAWHzxvErXXtQJv2sfW8KpLI24M6K4ARFWmWbWukXU6nXaeBeoHr27sbyxb96tE6VUUqqtetJaqK0IH3Nuf9b06Kfnzb9LExNHaxM4krBa/j3X94zUzcVYbyCpOnhQ0gqkYk33/zgX798NETHqyNSmVAN5N3VWi2dEcoL3vRSMnFTEMQ9LgI1ze4eavI24PaLGmGTqDs/fL2BmHT0b5d67IzqbiUijqouyyMBa4yW3Q6gfOGl/zepHwKtEMAqgf5EBKo2iS2oIqbFex5OXmTsJmTlpaOlFJ1G1ZxOuW15CqCOHpS5Io1kv8SspmzOUOf1qWRGifWVlRxKwVbBM4bhS24WhA+Pj5oNBo0Gg0fffotTz42wdPVqnJUVuvNWVgSR28VPHdPt1NQJJm5LI39ZwyOJKFBPoztUt2lxzXG2+NUloUqbmVQWjOlNwobQFhYKBMn3MkXX/0IwIuvvMXWbbt44P47uKZ/L9WKU/FaKorgWXvpl1f0dOX+vOwI+8+c16fXDPflicFRRIaoQwBsRfWWtANjgfNWYdNRWFhI/+tuZO++BJP0Th3bMuXpSQwfOhAfH7Xt3h2o1pvz8UbBs4ZO8Oyxgh5+Zy1bDqQAcEPv+rx4b2eCAvzc3jzqCstN9Zb0QnSC5u3CBuDv78+bM54vMZfbrt37GXfnw3TrPZw5f8ynqKjIQzVUUXGciuS56YgHZk6e4bkc1a8hQQF++rJUbEMVNzupCMKmo3/fnhxL2Mg/c79j4oQ7CQoyDP48dPgY9098mg5dB/Hd7Dnk5+eXUpJKeahI90xFoiIJnL3UqG54Vq9kFZhsc+dwBW/wFnUUVdwqOZER4Qwa2I+Z704lYe9aJj/+IKGhIfrtpxLP8Njkl2jT6Vo+/eJ7srNzPFhbFRX7qKwCV6O6ocXl8tU8i3m8cUyeN6GKWxWiZmw0M6ZN4dC+tbz0/BPUiIzQbzt/PoX/vfA6rdr35533PtdHOFFxDqr15joqo8BVDzFEILmaXVBKTrWp0hqquFVBakRG8PyUx0jYu4bXpz9HzZox+m2paelMe30mLdv2Y+pr73MpNc2DNVVRsY3KJnAX0gzT20SGlR1L0pVWXEVtmlTFrQoTFhbKk49NIGHPGj58bxr16hpmFsjIzOLdmV/Qsl1/nn1+BufOXfBgTSsHqvXmWiqKwGVkF7B65zk27rvAwZOXOX8pm5y8QjQayZXMfH5dfpTlW8/o8zeMt31sm9pUaUAdCqCip7CwkN/nLuT9D2Zx9NhJk23+/v5Mefphpjw9CT8/dXiko6jDAlyPNw8TKCrWcONzy0hKybIpf5eWMXz5vwH4+Ng/NtWZFpczBVMdCqDidvz9/bnztrHs2LyUn2d/Qru2LfXbCgsLef2tjxk28i7Onj1fSiklyc7OUR1VtKjWW9VEo5HsPnKJGd/tsFnY6saG8vYjPR0SNlD74lRxUymBr68vY0YNZdPaBfz1x7d06dxev23j5u306DuCBYuW21TWnD/mU7Nue2rWbU+fa0azeMlKdYZwlSqFlJKH31nLfa+vZv76xBLba9aoRoC/8ioOCfKjad1wnr69Pb9Mv87Ea9JeKmpfmbNQmyVVyqS4uJj3PpjF6299THGxYeqNgdf2oWvnDoSEBBMSXI3gkGDq16tNz+6d8ff3Jzc3jxbt+pGaetmkvAH9ezH7mw+IiY5y96l4BWrTpGvxtmbJo0lXuPUl6x+Daz4fRfWQAIo1Ej9f59gb3tokCe5rllQ7T1TKxNfXl/898wj9+vTg3gcmc0bbLPnfqg38t2pDifwR4dUZPGgA23fsLiFsAGvWbuK2OyexZMFPBAS4dtJFb0QNqFy1uJieW+r21Kt5hIcG4ufrnJivVd1i06E2S6rYTM8endm8fiFjR5fulXblagZ/zF3AqUSDx9fLLzzJxAl36oM2b966k6mvzXRpfVWqJt7mNdmsbrh+2d/PhxfGd6JBrTAAmtYNp35cmFOOk7B5oypsRqiWm4pdREaE89P3n/C/Z46wfcduzp1PJjsnl5zsXDIys9i0eTtnzYYNXDewL1OenoSPjw9169bmpVffBuCnX+byxmvPeeI0VFTcRmyNYOrHhXE6OZPCIg2Na4fz11vXczkjn7Bgf6c0RbpK1JzdJKl8ePzh1DKtoYqbikO0ad2cNq2bl0iXUrJ3fwLLl68lIzOL+Pia3H3HTfoZCJ58bAJvvP0xOTm5XE6/wuX0KyaRUqoKatNk1SI6IojTyZkAFBZpEEIQFe6ciUdVa80yqripOBUhBB3ataZDu9ZWtzdsUI+DCUcA2H/gEP379nRnFVVUnIKUko9+38fybWeoHRNCywaRtGxQgyZ1qtOgVnX8/ZQPOo1GcuzMVf1+NWtUc1odXClsrrHa3Icqbipup03r5npx27ZttypuKl6NlJKv/kngUGI613Wrww29GwCwbHMSPyxR7uMLqTnsOHRJv09cVDC/TFNc+Y8mXSFDGx8yOjzIqX1sKtZRHUpU3IqUkhUr1+nXUy5V3diV6oDuisHK7WeZ9fdB1u4+z8tfbmPrQWUS0c3ayUQtkZyWw5JNpwHYfuiiPr1zyxi9U1V5UIWtbFRxU3ELhYWF/PDTH3TucT2X06/o028eO9xzlVJRsYGN+5JN1n9aqlhrxnOuxUUFM2FkS5N8J84pM2vsMBK3ri1jy10fdwhbRW+SBFXcVNxAQUEBo266j0mPv8CRoyf06RMn3En3bp08WDOVyoozX6Ynzl41Wd+4L5kTZ6/S2UiowkMCeOSmtrw5qYc+bcG6ROauOsF2o+bKLuUUN9Visx21z03F5fz861+sXbdZv+7j48PY0cN45aWnPFgrFZWy0Wik3gIz5qF31lInJlS/npNXBED/jvHUjgnh3KVsNFLy+uyd+jzx0SHUqxlaoixbcZewVZaYlKrlpuJyNm3ZoV8eMXwQRw+s54dvPyQi3PapPCorar+bd3MhLZvc/CL9uq67LPVKHnuOperTu7ZSLLJqgX5888I1NKpd8t6+6dpGDve3VWRh89SgetVyU3E5sTHR+uWmTRpSq1ZND9ZGpSpTrNGQmV1ISDV/vat+aazZaZgBo1urWIb3bsA7P+0iO88geE3rhvP4LW3163FRwXz34jW8/+te1u4+j0YjuaFPfe4eVnJcaGmoTZDlQxU3FZcTF2eY6TvtcroHa6JSFdFoJO/8vJt/t57halY+UkKAvw/N6kYoY9MaRtK8XgTR4UGEVPMnLSOP5LQcdh2+xOzFR/TlDOpWl5F9G9CnfRzrdp/nYnoujWuH07dDLQL8fU2OGR4ayPQHu+lnwLDVYvOkoFUmqw1UcVNxA+s3bNUvt2rZzIM18U7UaCWuZfXOc/y+8rhJWkGhhgMnL3PgZMnA3paoFR3MsF71AKhRPYjR/RvZtJ8touYNFlpl6Wczpky7XAhxkxBinhDitBAiVwhxRAjxphDC6khEIcSXQggphPjZwrYBQojDQogMbb4Ao20NtPtJIcS1FvbdIIRYY8f5qXgBJ06e1i9nZto2UaOKirP4edlRk/WQIPu+6WvHhDDz8d4EB/k7s1qVPtCxpwNY2/IrPwMkAS8AZ4GOwFTgGiFELymlxjizEKIXcAdQwsVICBGCEjXzbWAP8CbwBPCuheO+DqihKyoBHTu00Q8BmPHmR6Rfucprrz5LYGBgGXtWHVTrzXUcPXNFv7z4/eHEx4RwOSOPw4lXOJR4mYTEdE5fyORqVgFZuYVEhAUSG1mNBrXC6Nk2jms61SYwwNf6AezAG8WssjVH6rBF3EZIKS8Zra8VQlwGfgAGAKt0G4QQ/sBXKMI00UJZLYEzUsr3tflfAx6kpLgtBwYLIUZIKRfaeC4qXsprrz7L+g1bOXdeGQz72RezWbd+K5vWztcHVFZRBc4VSCnJyzdMsBurjetYo3oQvdrF0atdnFvq4Y2i5iq8QdjAhmZJM2HTsV37v7ZZ+rOAL/C+leKSgCbapsko4E7gqIV8c4FdwAzhjFg1Kh4lPj6Oeb9/Y5K2/8Ahjh0/5aEaeS/q0ADnkno1D43WqSMowNdpM13birc3PVaGSCTWcNShpL/2/yFdghCiMfASMFxKWWBJk6SUF4UQLwErtMfeAUyyUL7UlrUEuBWY42A9VbyEtm1aULdOvH4W7+joGjRqWM/DtfJOdAKnWnGOcfJ0MvMWb+Fkwn4OJRq8c9s0ruG2OnizoLkKbxI2cEDchBC1genASinlDqNNs4C/pJSrS9tfSvmJ1tEkCjhp3mdnlG+pEGIDMF0IMVdKWWQpn0rF4MTJRL2wAXz52Tv4+zu3g76yoTZT2s+sH/5l2vt/UFxc8rXSpUX54zraQkURtsroIWmMXeImhAgF5gNFwL1G6XcCXYEWtpQjpUwHbBnw9AKwDhgPfFN6Vn1dHkTpx6NunXhbdlFxA+Hh1QkI8KegoBCAGpHhHq5RxUC14mzn17/W8co7lht5ggJ8ub6na1sKKoqoQeVujtRhcwO0ECIIWAA0AoZIKc9q00OBmSgekHlCiAghRIS2bH/tukOf6FLK9cAy4BUhhE2udVLKr6SUXaSUXaKj3dcMoVI60VE1uPXmUfr1lavUl7U9qH1xpXPuQhovvPGrfr196wZMHN2K3u3iGNytLrP+199p86hZoiIJm7PxRmEDGy03rTjNA7oB10kp9xttjgZigDe0f8bUBW4BxgD/OFjHF1H65h5ycH8VL6F71w789MtcwHTsm4ptqM2U1nnprd/Iyc0HoFmjeP6Z/RxXDq0qY6/yUxFFzZlWm7cKG9ggbkIIH+AXYCCKs8gWsyzJwDUWdp0D7EcZFnDA0QpKKXcJIeahNFGeB66WsYuKFyKlZNuOPfp1tb/NMdRmypKsXLeXxSsN0fffm3oPIcGBXHHhMSuiqDkbbxY2sM1y+wy4GUWksoUQPYy2ndU2T64x30kIkQekSClLbHOAl1EEMhZY64TyVNyIRqPhuZfe4Mef5+rTevXs4sEaVXxUK05BSmnSz3bbmD706OzaEG8VWdicZbV5u7CBbeKmO4sXtX/GTEOJVuJSpJSHhRA/oTiWqFQAioqKEEKQkZnFk0+9wty/F+u3DRrYj9tvHe25ylUSVCsOjp9K5vgpJThASHAQrzx9i8uOVZFFDaqWsIEN4ialbOBIwY7sJ6VMBCwO2pZS3ouRh6aK9yGl5Mdf5vL6mx9x7nwyQgh9VHQdo0cO4dsvZ+Lnp8bsdhZV2YrLzcvXLwcF+lE9tJoHa1P5qSjCBupkpSpO5Mdf5jLpsef1YbbMhe3B++/gx+8+JihIjSmp4hyaNa5NVKQyu3Vaehbz/91exh6OoVptFQ9V3FScxuwffy+RJoSgRfPGfPXFu8x8dyq+vs4JQKuiAhAU6M/4cYYJRJav2eO5ylRyKpLVBup8bipOxEcYvpV+/O4jRt4wmOJijWqpqbiUmChDQACh7dU4t3Opp6rjdVRFqw1UcVNxErm5eVxIvqhfDwwMwN/fH9XjX8XVGA8DaN+mgecqouJVqM2SdlJVO+7LYvobH3A66SwA1cNC6du7Rxl7qKiUn3MX0tiwVYnfLoRgzNDuLjlORbV+qpqHpDGquNmBKmyWycrK5suvf9Kvvz79OcLDXRfqSEVFx09z1+kdl/r1bEWtmpFqk6QKoDZL2oS5qGWfX6/G+jPiUmoa+fkF+vVbbhrhwdqoVHa27DzKvMVbOHT0LNt2H9On3zqqYlpXrqKiWpvOQhW3MlCttbKpX6+OyVxtGzZu4/ohliKyqaiUj9UbD3DrgyXnQm7ZrA6jhnT1aqutqFiyNymPzDwNbesGERVauudwZm4xu07nseNkHqlZxdzYNYwuDQ3j+KSUWJvLuarEjywNVdysoIqa7fj4+BAbG22Yr02dPF3FRcyctaBEWt/uLflwxn34+3v36+znTVdZcSAbgLAgH14ZHU18pGWPq/VHcvh2bTqFxYa0T1dcZsZNsYRX82HO1gy2HM+lUYw/N3evTrM4xSO5qltrxnj33eABbBU1tWnSQE5OLvv26ydlp2uX9h6sjUpl5ugJw4S3vbo2552X76ZZY2XeRm+22nLyNaxKyNavZ+Zp+Ojfy8y4ORZ/X9OPwR2ncvlyVTrSrIzCYvjiv3RCg3w4cFaJzJJwvoDX/kllzozBNK0b4fR6V1SrDVSHEhNUa80xdu7eR2GhMglp82aNiaoR6eEaqVRWGjeM0y9v2n6Eh6Z8SW5eQSl7OI/yWEUpGUWYTw5+Nr2Ir9ekozGK5HM+vZAv/jMIW1SoL2O7hOGvbcFMTC3UC5sOjYTdR1MdrltlRRU3FFFThc1xtmwxjDPq2aOzB2uiUtl5+O4hJusHDicxf9k2D9XGdvIKze0whY1Hc/l+3RWklOQWaPjw38v6vLHVfXn9phhu7FqdDvWCSi0/N6/I6XWu6FT5ZsnyiJraNKmweesu/XKP7qq4qbiOqBolh5icPnvJq5skAQL9DE2PDaL9aRTrz6qEHABWJeSQlFZIRq6GixlKJ5u/LzwxpAZh1RSTrU2dQLafyrNafuvGNZxe54rcJAlV2HJTrTXncfTYCf3ys89N5+zZ86XkVvE0IfF9Tf4qEvMWmc6V7Ofnyy0j3edE4WjTZJC/Qdyu5hZzb78I+jQzeD4eTynUCxvAff0iaBAdoF/v0SSYGtUth7ELDvKjfZMoh+pVmamSlpszRU213qBx4wacSjwDQGZmNu/OnMVHM6d7uFYVA2fci+4UqfQrWWzddYz0q1m0aVGPti3ru+W4Os5eSDNZ/2bmJAIu7bSS23uoGe5HoJ8gv0iSnq0hPbuYB6+JRCNh07FcfT5/X7i3XwT9WoTo03SC+n7tVJ78YAO+voIHRrXi7Z92AxAVHoS/nxqQ3JwqKW4qzuXD96bRpqMhMvuPv/xJ61bNGHb9tdSpE+/BmnkfFbW1YNe+k3w+exnLVu2moNDQv3PXTf15f9p4t9WjTrzBQrl9bF+GDezk9U2SAL4+gsax/iScV5xfjiUX0KNJMJMGRtK/RTBHLhQQFepL+3pBRIZYFqoOzaJZ+elIpITs3EK9uKVdzaNYo8HXp8o2xFmkSl6Nqm5pOZuGDerx+KP369cLCgqZ/OxUOnQbzOq1mzxYM+9A1wTuKmErb7nGz4OUkoeenUWL3o/xv9d+IjMrl3MX0hh+5+ss+He7ibAB/DR3LckX08t1fHsYfX03/fJvf29gX0Ki245dXprGGZoVjyYrIieEoE2dIG7sWp0BLUNKCJt5M6ifrw/+fj6EhwYQFa44meTkFbHnqKlFq1JFxc3ZVNSvcWfy8AN3ExNj2u6fm5vHuDsfrpJ9cK4WNFdxISWdv5Zs5fKVLL6fs4rG3SfRZcgUis392M2Yv2wbcxdt5kRiskvr17dHKwb3V8ZRSil54Y1fS0yK6600izP0oR1LLnv4Qmn9e0IIBnaprV9fse1M+SpXCamy4qZab86lXr3abFz9D89Mfoibxt5ARHh1QAmq/NxLb3i4du7DU4LmrGPGxUaUSLMmbK8+cwuHNnzMkHGv8cDTXzDpf1/R64YX+GXeOqfUxRrTpozT9zFt232MjftcK6jOoqmRuCWmFpJXWPoHQ1kM6lZXv7xy+1mKNeUrr7JRZcVNxfnUrl2Laa88ww/ffsgfv36pT/97/jL+nLfIgzVzD5620pxxfB8fHxb8+HyZ+UYP7cYj9w7lzLlULqQYmiWllLz+0bwyLb3y0LhBHOPHGWKX/r32pMuO5UxCAn2oHam4OWgknLpUaDWvLV6ZHZtH65sm067msfuIOpDbmCotbqr15jp69+rK7ePG6Nfvn/g0r7/1Efn5+aXspeIN9OjcjF0r3mPCHdfhZ8ULr7CwmFUb9vPWJ3+X2JaalsHF1KsureNdNw/QL+86eqXCWC0NYwyxJC9cKd/Aa18fH67rWke/vnyr2jRpTJUWN2fi6a92b+TNGc/TrGkjAIqLi3nj7U/o2G0IK1et5/mX36RRi55Mevx5MjOzPFzT8uMtv7+z6lEnPoo3XriD83u/4ezur1n620sm2xev3Mm4iTNZtWG/xf19fFwbPLt543hio8MBuJKRzeqd7unXTdi80Wll+Vl5+9ozls64afK/HWcpcqHFXNGo8uKmWm+uIzqqBksW/Ey3rh30aaeTzjLqxnv5+NNvSUm5xA8//cnjT73iuUpWcoqKbLMOSnsOAgL8iK5R3a7jVgsKKDtTORBCMGJwF/36859v5uM/9qHReK9zSbFGcjrV0BQZ6F/+12+HZlFEa5smL2fkk3DKfZ6r3k6VFzcV11IrLpaVS39n5juvWs2TcOioG2vkfLzFatOhq8+K/9ZRp1FnOnQdxOIlK8tVZoAd08mMG92H6mHB5TqeLTz10EhiohTRLSqWfL/oMH+uOu7y4zrK0r1ZnLmsfGz4+5p6T+qwNwKKr48PHZpF69fPXaz4rSDOQhU3J+JtLzlvwdfXl4kP3MVvP31ucXud2rXcXKPKT/b59Xz97S9kZmZz7PgpbrnjIYaPvptf5/xNRkam3eX5+1vue+vTrQW9u7agV9fm3DCoC3O/fZaPZtxX3urbRExUdRb+9AKd2jbSp81fl+iWY9uDlJI1h7L5fWuGPm1sl+pljmmzlbgow4fE+bQcxypZCVEjlKA0yajC5HpGDB/Eqy8+xcpV69m4ebtR+nUerFX58Ob7plq1aibra9ZuYs3aTfj4+NCkcQPatG5O61bNadO6OW1atyDKV4OPlSgXK9ftK5H24Wv3cvvYfi6pu600ql+TOV8+RbNejwJw7MxVCouKvSIcVUZuMeuP5LA6IYcLVw3Nww2i/RnWPtRpx6kVbRC3k+dc68hTkVDFTcVtCCGY8swkunbtwA2j7wagelgoN984wsM1q5w891B/Fi5eTn6+6YBhjUbD0WMnOXrsJH/9YwhdFRoSRMumdWjZrA6tmtWlVbM6tGpWBz8/X16b+WeJ8tu0qOfyc7CFiPAQ6saGcuZiFkXFGnYdSaV765oeq09RseS3LVdZeSCbIjP/jvhIP54ZFoWf2QSl5Zkrrn0TQ7Pkss1n6N66JiP7NnS4PFfiTh8HVdy0qNab+/j2+1/1y7ePG0NIiOv7Z1yBt98v9WpHc+TAet5462O++vaXMvNnZeexfc9xtu+xrd/K2jABT9C7fRxzVij1Xr3znMfErahY8u6StBITilYLEFzbKoSxXcIIcoIjiTGtGkbSsVk0u4+mopGSGd/vpGvLWGpFh5S9cyVG7XNzMt7+wvM0F5IvsnCxwbnh/ntv82BtKj/BBQl88N40dm39l2HXX2s1X0CAv9Vt1vDz9R5xG9jFMN7r361nyMq1PkDalfy2+aqJsDWK8efBayL49O44bu8ZblHYymO1gdIi8t7jvagTq4hZYZFivVZ1VHFTcSs//PSH3j29d8+utGrZzMM1coyK9BGTfX49zZs15s/fvmLJgp/o0L51iTwFBfaLQerljLIzuYnh4+4krobSAnAlM5+xzy1j/rpTbq3DluM5LNufrV8f2TGU6TfG0L9FiFVrrbzCpqNG9SCa14/Ury/bkkRhUXEpe1R+VHEzQh3z5loKCwv5/off9esT7rvdg7WpmvTv25P1q/7m6y/epXZ8nM37+fgIundqys0jeurT1m466IoqOkTK3uVMHNNKv34pPZfp3+4g2U3eg9n5Gn7YYHDm6NowiFu6V0cI1w5mN6ZDU0Pg8g17L/Dj0oo9xKa8qOJmRnkFThVI67z3wSzOnrsAQHR0DUaNGOzhGjlGRbLadBgHdPbx8eH2cWPYs30FTzw6wab9NRrJ1l3H2H8oSZ/2wVeLaHfNZIbdMYPLVzw/vmpUv4YEGg1Z0EhJbn75QlwZU1p0kjlbrpKRq3iPRIb48OC1kTYJmzMjntx6XVOTvsYdhy46rWxn4c5nRxU3FbewZ99B3nr3M/36U088SGBgYCl7eCcVUdiMMa5/cHA13njtOW4ae4PN+x8+fs4ktFbyxSvs2HOCsfe+49R62oNuslIhhEnd+nWoRcN4+yKrOMLp1EJWJRgsxHv6RBAc4P5Xq7+fD8N6GTxYw0NdGyXG21HFzQKOWl+q1Wadl6e+o+9r69m9M48+fK+Ha1R1MRfot15/gXp1YmzeX6OR+Pqavjqqh1Wzktu9xBuN+WrRILKUnM5jVYKhn61D/UC6NAxyy3EtUWwUfiy/QO1zU1FxKRcupLBqtaH55fNP3sTXizztbKWiW23GGJ9Ldc0R1vw1nY9n3M+9464lMrxsF/IXn7jRZL1xA8+43uusNh33DG+hX957zPWzUxcUSTYdM1htN3QIc2s/mzkdmhrGvG3Ym8yVTMdn4TC/thUNVdysYK8Vplpt1rlqFO4pOrqGfqaAikRlEjYdxv1woSFBjBvTh7dfvos9q2Yyc9p4ru3ThgZ1YwkKLDlMoKCwmJnTxuvXF6/YRW5e2bNLOxNLL9/WDWvol5NSDPfdyXMZTHxrDaOeXcL9r69my4EUp9Rhb1IeOQWKtVSzui8tanm2KbBBrTBCqym/V1GxhvOp2WXsUXlRxa0UVMFyDrXiauLnp8QLSE29zPMvv8mJk4n67cXFxWzYuI1f5vzNps071DnfPEy1oADuvKk/c758mm3L3ub0zi85uulTHrjTECbtvS/m66ecAWXaGVfP4WYLdWJD8NFaTslpOeQXFJObX8QTH6xnW8JFklKy2HXkEpPeXctvy4+V+3g6JxJQZtr2pNUGsP3QRf0Yv6AAXxrUCvNofTyJGqHECagiWDrh4WHcdceN+mEAH3/6LR9/+i3NmzXmuoF92bxlJ7t2G+YFqx4WyvVDrmXUiMEMGtjP4xFMKqPVZg9CCCLCQ5j27DhWbTjAicRkioqK+eYX05kG4mIj3FYna01mAf6+xEUFcz41Gynh7KUsjpy+wtmLphaMlPDOz7tJuZzDE7e2c1iUYqobmtcvZXq2j0tKyWdzD+jXh/euT3CQ/YPzKwuquJWBGpbLObw2dQr7Dxxmx869+rQjR09w5OiJEnkzMrP4Y+4C/pi7gKCgQIYPHUjt2rUIrx7G7beOoV692m6rt/rbGygoLOJEYrJ+fY3ROLfO7RsT6ECUE0coqy+oXlyovjkuKTmLfccNfW+dW8SQk1fEoURl3rMflhyhXs1Qxl7T2KG61Ao3vEJPXizgak4x4cH29ScnbN7olMHc+46n6c/V38+H+0e0LHeZFRm1WbKcqFabbURGhLN88a98/vEbDLv+WqpVM/Uo8/X1ZfB1/WlQv65Jel5ePvP+XsLHn37La298yIDBN5GVVXX7ETzJ1QzrA6InP2j7cILyYIuTQ72ahoj7Z1Iyycwx9AWO7t+QD540FZLXvt/pcH2iw3xpFKOIemEx/Lvfc/fmzsOX9MtDe9ZTY0t6ugIVAVXAnENgYCD33HULf/72FWdO7GDenK954tEJTH78Qdav/pu///yWA7tXsXndQp6f8qjF0FwpKZc4lXjGLfVVrTZTrDU7tmtVn0H927v8+LZ679WraehnSkrJQmBocpQSatYI5q6hpvfWD4sPO1QnIQQ3dDQcb+epXIfKcQbG8TTrxTmnr60ie0yqzZLlQBU9+zAXi75t/ejbVvcVnabf3jgKJt/Tmcn3dObPled55IkX9fvUiIygaRPXT+ehCltJhBC0bFaHQ0fPmqR3aNPQ5Y4U9rxk68UZLLek5CyT+c50EUuevLU9e46msf+E0ow3Z+Vxk2EE9tC+XiBCKMJ5Lr2InAKNRwZxFxrNr+Pv61nHFm9AtdxsRBUy29G5mJv/2cuqDft56tlXTdJmvjuVoCDXRjZRhc060ZElLYKQYO+KNGNquWVS38iK0fW1+fgIPnvW8Ewnp+U4HIcyyN+HelFK06RE6XvzBNUCDbZKejnGt1UWVHGzA2OBq2hi58oXdnlFzBIr1+3l7kc/Jr9A+dKuHlaNHz95nGE9w11+LirWibAwwDu4mmvFzd6msfiYEHy1YbhSLufSqLYhBJfxwO6w4AC6tYrVry/edNrhOjaJNYxvO5biGXFrWtcwNOPoGc8Py/A0arNkFUD3wrb04nZUpF0pAv+u3sP9kz+joFARtjq1opj77bM0qm+IgmF8fEfOQRUx2yku1vDmx/PYtvs4W3aWjDTftGEtlx3bkT4ffz8fmtWL0Ftp6Zn5+PoIijWSU+czyMguoHqIIkYj+jZgW4ISYHjVjrMOexg2jQvgP20Yrh0n8xjdyf2RSozF7Zgqbqq42UtFGxpQVl1tFTx3nfP2Pce578lP9XNR1asTw1/fTaFe7Wir++jqZk3kKtLv5W0UF2t49IWvmbdoi9U8bVrUs7qtvNTuPNQhgbumc229uP23/ayJ2O0/kUbvdoog9+8Qj5+voKhYknAqneS0HOKi7B9X2bF+EP6+isdkYmohx1MKaBrn3ubaujVDCfT3Jb+wmEvpuaRn5hMZ5l1Nxu5EFTcHqChNko6+1MsSC1chpeTlt37TC1uDurH89d0U6sRHlbGngipi5aO4WMPP89ayZOUu8gsK8fX14URiMueT063uUy0ogMYNbJ8XzhFqdx4K2GfFXdulNp/PUwY0b9yXbLLt+JmrenELCwmgS8tYfTiuNbvOMW5QU4tlturZ2+oUNcEBgvhIf06nKh6LOxPz3C5uvj4+NK5TnYRTyu91/MxVuho1u1Y1yuxzE0LcJISYJ4Q4LYTIFUIcEUK8KYQIM8rTWQixTAhxTgiRJ4RIFkIsEUL0tFDeACHEYSFEhhDiSyFEgNG2BkIIqf271sK+G4QQa8pxvlUGZ7zond2PVha79p9k1/6TAAQG+PHH10/bLGwq5eern1bw7LQfWb3xAJu2H2H9lkOlChtAfFyNEjMEuIranYfqha4sGtcOZ3R/y161ocGmg82v6WwICrB657lSy7U02PrExQKe+DlFL2yA1Zm3bS3TUZrWjdAvHztzxWnlVkRs+QWeAYqBF4DrgS+Ah4EVQgjd/hHAceBpYAjwmDZtrRCim64gIUQI8AfwNTAG6Ag8YeW4r9t3Kio6KqoFc/a8obP/mj5taVC36n51eoI58zeUmScyPIS53zyrX088c5ELKaULoLOxVeCeu6sTrRvVKJFeK8rUKaZ/x3j98raEi2V6GpqL0bztGVzONoTeigzx4ZqWngkZ10x1KtFji7iNkFLeIqX8RUq5Vkr5IfA40B0YACCl/E9K+aiUco42z58oIieBu4zKagmckVK+L6X8D3gN6GfhmMuBHkKIEQ6fWRWlogobQHZOnn45onrVjq7gCQKMZrE2xtfHhxZNFOsm/Wo2d0z6gCbapsjiYg0zv1zotjrqsEXgAgN8+WJKP+69oQUt6kcgBLRsEEmXlqZz19WsEUxspGE+ugfeWI2U0rw4iySmFrA3ySCGgX6Cl0bG2ByCy5lWGzjfcrP1Q8IbKVPcpJSXLCRv1/4vLchfNpAPFBqlJQFNtE2TUcCdQEn3K5gL7AJmCE+H2a5AVGRhA+XFqSM0xHMTPlZVurRvYjHd18+Hw8cNzXX5BUUcN4ox+cPvq/l9vuW+KFdiy4s3LDiAx29px2+vDWbbdzfxy7TrLIq4cRPmiXMZXMkq3Z2/Vc/enLpUwLuLDa0NjWL8+eb+WsRFeM6VoXEdw7CHpOQsj9XDG3C0sby/9v8h40QhhI8Qwl8IUQ/4VJv8jW67lPIi8BKwAkgFGgFvWChfavO1A251sI5ViooubGAaiLdxfc9MflmVsRRCy8dHUKAda1gaz077gb0HE11Qq9Kxpx/Oz9fHqnv+Q2Nam6xfTDcNoyWlpKhYg0YjOXH2Kr+vPMYbi9K5kqNEBQn0E0y6LhIfH9u/xZ1ttYGp9W2r9VlZsfsTQwhRG5gOrJRS7jDb/Aegm6L3IjBMSplgnEFK+YkQ4mcgCjgppdRgASnlUiHEBmC6EGKulLLsJ0yp34PAgwB168SXkbviUxlEDUCj0bBpmyG+39CBnTxSj4o21MOZDOjVmpox4aRcUvpqgqsFkpOrNLnVqxPDtzMn0aRhLe5+9CPWbzX5riUvv5B7n/iU5X+8QnSN6iXKdjWODhnQIYSga8tYth9SxrxNfHMNvdrFMfaaRiSez+TDOXvJLywmtJp/CasuOEDw1NAoakV4fnoZjcYgaPYIbWXELstNCBEKzAeKgHstZJkCdEMRuAPAIiFEF/NMUsp0KeVxa8JmxAtAU2C8rXWUUn4lpewipewSHV2yM7kyUZlewgWFxfohAABhodVKye0aKsoQD1fh4+PD1GcMDSU6YQO466Z+HDlxntsemskZI8cfY85eSGPiM7MoMvod3Ul5+4fGD2+BzrC7ml3A0s1JPPDGGl6fvZPsvCKKimUJYYuNrMaP0wbTMt4+t39XWG0AxUbi5quKm20IIYKABShNiUOklGfN80gpT0opt0sp/wKGolhvMxytnJRyPbAMeEUIUXVHI1qgMgkbQFCgv8lA7YnPzqK4uKxvH9dQlUVu7PAe9OvZqkT66x/O49Hnv2bLzqMknrlodf/1Ww8x48O5rqxiqZRH4Hq1i+PNh3sQUcbA5+ohAfTvGM+Tt7Zj7ptDaFw73GViZS/GTZFFGlmlmyZtEjchhD8wD8UqGyal3F/GLkgpC4B9gOVeatt5EagDPFTOcioNlU3YdDz3+Fj98sp1+5j1479uO3ZVFjRjhBDMnHYvNSJCy85sROd2jfTLn3+/jP2HkpxdNZspj8AN6VGP5R+N4Isppk7cvj6Cj5/qwx+vD2blJyP5cHIf7hnegrBgQ0xJWwXOlUIYHhpAaDWleTQrp1A/aasjVGRPSbBtELcP8AswEBglpbQeh8d0v2CgC1ByqmU7kFLuQhHWF4Aq7x9eWYUN4KYbevLofYYH6v0vFpCR6VikdhXHqVc7mimPjjFJa928Ltf1a8d9t11rUfgSjp01sfgWLt9eIo87sefFnHI5h1+XH2XzfsUD1N/Phx5t4rhvhDIFTt3YUD54sjd9O8TTtG4E/n7WX5uetuB8fXxo29jQHfPrv8c8WBvPYovl9hlwM/AekC2E6GH0VwdAG2nkTSHEjUKI/kKIu4E1QC3K0SxpxMsoDigdnFBWhaUyC5uO5x8fS9NGSmikrOw8fpq71sM1qnoUFBThazYf2MEjZ7h1ZG8evW8YP336OFGRpgKXl1fIdf0M3pYJR9wzoWxp2CJwGo3k4XfW8e7Pe5j07jp2HDY0uT52czvWzRrN/HeH0reD7c5ppQmcO8Tv+p719cu/Lj/GfTNWsWxLUpVrorTFW1J3h7yo/TNmGjAV2ApMQPFSDAHOadPut6UJsyyklIeFED9hh2NJZaEqCJox/v5+TBp/PZNf+R6AWT8s5+6bB7jUwcRSk2RV9Zo8cz6V0ePf5sy51BLbHnjmC/1yp7YNuW1MX65m5nDlajaD+renfesG+u2rNh7g+KkLNHHhjAG2UJYX5ZmULE6dz9CvnzqfQZcWhsg4xs2O9lBaHEpXM6JPff7bcZZ1u88DsPtoKruPppJ4PoOHxrbxSJ08gS2DuBtIKYWVv6naPN9JKXtJKaOklEFSysZSytvtFTYpZaK23G8sbLtXu22APWVWVNwZ09HbuPGGnsREKe7kKZeu0Kb/kzz58ndcTK3a4YRcTV5+Ibc+8L5FYTNn1/5T/D5/I8MHdubbDx5h3Og+tGxah95dlaa8oqJiXv9wnqurbBOlWXAb910wWTee8LO8mFtp7mqyFELw2oPdGNy9ronH5Jf/JHD8bNV5htTJSr2MqixqOoIC/Xlp8k369dy8An79az2jx79FfkFhKXs6j6r4Gyxcvt0k8oglatWM1C9fSsvgnc/+4ZtfVuo9W6f/b5x++5L/drk97qQlSrPcflx6xGS9a8vKEc+0ekgAbz/Sk6Uf3kDdWEMT8t5jZX+4VBZUcVPxSm4b05e3X76LuNgIfdrxU8ms2lDuVu4SmM8kXhWFDShxbZs0jKNxgzga1I3llpG9OLntC/aumskfXz+jn3171/6TvPDGL7z6zhwA2rasT88uzQHFLX37nuPuPQkjzu1calXY8guK+XvtSVIuGyKRtGwQSc0azg14rLPWPOVoEhNRjSE96urXjc+3NCq6pySo87l5FVX1pWqNe8ddy/hbr2H0+LfZvEP5wr6cXrXj5bmKzKxcVqzda5K2+q/pBAYYom4cPn6Ox174xmKYra9+XkHv7i0Yem0nunZorP+9Nm47zMghXV1ad3PKilRyOSOPCW+sMelrA7htsOV53MqLpz0ojSdfTblcdbyPVctNxasRQmAcDlDXF6fiHIqLNTw9dTYt+zxORqblr/rCwiJ++3s9w+94vdT4kZ99twyAvj0MQwL+XLjJbcM5SrPUjHn5y20lhA2gQ1Prs71XZGJrGIubbZZbZUC13LwE1WqzzJWr2ezef0q/3rp53VJyq9hDcbGGl9/+jZ/+tDzcIvniFUJDgrht4kz22BAUuU0L5bfp270lTRvV4tjJC2Rl57F87V5uuqHEvMVOoyxB+2v1Cf7degZ/Px+iI6qxaX/JfsWWDSKpE1s5h9HG1TB4Gp+7VHVaPlRxU/FaNBoNT706m9w8JZ5f00a1iI+r3PFC3UVObj63PPA+23ZbH+Q7/f0/KCwssknY7rypH2++eCegxKgcNrATH51cDMDbn/7NkAEdnD6cwxYrLTkth9e+31lmvkOJ6SSlZFE/LswZVfMq6seF4e/nQ2GRhrMXs0lOyzFpqqysqM2SXoBqtVnmhz/WsGiFYeKJ/z06xuqUJSr2sXbzwVKFDWDh8h0sW71Hv24cZd5cqPYlnDb5be6+ZYB+Tr7TZy7x+odznTaIuKzmx2KNhoUbEhn30nIefW+dzeW+MXtnpRzoHODvS+uGho/CV7/eRmZO6fPVVQZUcVPxWn6ZZ3gx3XVTf7c7JlRmunZoQnxcZNkZjdBNp9KwXiz7Vn/A8S2f4e+nzB+2L+E05y4YZguoGx/Nq8/col//7rdVPPD0F2g05QuGbSxq/6w9ye2vrODmF/7l9ldW8MQHG5i3+gRLNyfxylfbOJJ0hRPnSvat6ejWKpa6NQ1u8tsSLvL9osNW81dk7hraTL+8LeEid039r1xxJysCqrh5GNVqs05hoWEKvxsGl5g5SaUcRNeozso/p3LvuGvtdtIZMbgLIcGBVA8Lple3Fvr0Bf+aTu9484heNGkYZ7R9O4tWlN1EaA1jYSvWaHj7p90cSkzn+NmrHEpMZ93u88z4fiefzztgcX8/Xx+evbMDP0+9jmdu78Dbj/Rk7htDaBhvOP9P/tzPI++uY9WOs3ox102IWpHd46/tUoeHxhomZD2dnMlzn22muJwfG96MKm4qXkuHNg31y/OXbfNgTSon0TWq8/bLd7F/zQfMmfUUt47qzZRHRvPK07eUyOvnZ5jhuX9Pw0ty5GCDNf3trytN5nILrhbI398/px/3BjDhqc/5fPYydu6zHk+9qKiYw8fPkZWdB1huhjyceIW8Asvzxl1IteydufSD4dw+uBmtG9XgjuubEREWSIC/L3NeG0THZgZPyU37k3n640289vtp4jtdb1JGRRa4iaNb8+akHvhp44buP3GZ7QmXPFwr16GKmwdRrbbSuevmAfrlf5Zuo6DApsnYVezEx8eHa/u25ZM3JvDMpFGMHdbdsE0IatWM1ItWtaAAunUyjAe78YYe+lkCks6lMnfhZpOya8aE8+4rd5ukTX33d4beNoNvfllZoi6795+k06Bn6DfqJZr3epStS/+0WOeP/9hn1zneMrAx0RGWHVoC/H357Nl+DOtVzyT9n6Xb+Oz7ZSXyV2SBu75HPUb2NXw07j1eeSOWqOKm4rV0bteIenViAMW77+ARz80RVpWoGRNBgL/iSK2RkgfvGqTf1rNLc5OB3cHVAnngTsP2tz/9m7x80xBpzRrH07VDyWkdZ89ZXSJtzj8bSb54BYDComLemG25GVM3Z1lZBAX4csvAxjw5rn2p+aoF+jH762lsWfImY4f30Ke//uFcNm0v2Q9XkQWuSZ1w/XLqlTy3Htud8yaq4uYhVKutbIQQdDCKNF+e/hoV2/H19TGZm804LFfzJiWnfpl492Ciaygu9OeSL/PZdyU9Gb/78FEm3HGdiXAcPXme9VsSTPKNHtrNZH3zgRQuZ5R8AT9zRweu7Vzb6jncdG1j5r15PetmjeH5ezpbDYhs3p/WqH4cH8+4ny4dGgPKWMAHnv6ClEtXLO5bEYkKD9IvX75a8tpW1PMyRxU3Fa/m+ms76pe/+mk5l9Kse7+pOI9xo/vol4+dNETOj6hecqBzaEiQyeSmH3y5kI3bTK2dmjHhvPHCHcx6Z6LJb/roC9+YBMOuJ07yzO0dTPb96h9TAQSoFR3C+0/0ZtcPN7P4/eFMe6Ab0UYv7aNJV2hUu7rViUVLcxAJCPDjm/cn6QX7UloGDzz9hYmDU0WmRnigfjnNwoeDq3D3bPequHkA1WqznbHDutO2pdIXkl9QxLxFm8vYQ8UZtGlh6H/KycnXL1sLhHzXTf3187kVFBZx/+TPrE5R9OYLd+hF8kJKOrc/9AFnz6fpnUZuHtjYJP/vK4+XmJpGhxCC+JgQRvZtwOj+DY3SLZ+XrV6P8XE1mPXuQ/qxfVt2HuX1j0pO4VMRrRzjj4A0C5ZbZUEVNxWvxsfHh3vHXatfNw/uq+Jcios1rFq/n6dfna1Py8gyxCNcuW4fDz07i7T0TJP9fH19+O7DR6gZEwHA5StZvPTWrxaPUbtWFJMnjtCvr996iME3v6R/0Qb4+5aI8zh3lXXvSlBmIFiyydAna+w0URpnzqdaHbjdr0crnntsrH798++XmQQV0FHRhgkEGzXR5uVb9jitDKji5mZUq81+enU1uJIfOXHegzWp3BQWFjHqnrcY99BMNlpwotDx15Kt9B31Egv/3W6SXjc+mk/fnKBfX7h8h9X59ybePYhH7jUIQuqVPG54ejHjX/uPoZMXscds3rGdhy+VOibr+Nmr+kHJodX8GdGnfok8He76nZhW4wFFDF//cC5dh0zh7yVbmfjMLJIsTNL6+IRhDO5vcEZ5/MVvOWFlzruKInB5hQZBCwzwLbHdlrBmFQFV3NyIKmyOsX7rIf2yphKGR/IWlq7aXWpILuOmvtS0DO5/6nMe/t+X5OQami3792yt93AtLtZwKumixbJ8fHx49ZlbeH/qeH1aXkExe4+lkZxWcpxaZk4hq3da/rA5nZzJ0x9v0q/3bFtTHzlFR4e7ftcvx7Qaz+oNB/jo68VoNJKHpnzJ30u3cvejH+vH1hnX89M3H9CfU1Z2Hvc9+SnZRk21xlQEKy6/oHRxcwXu7m8DVdzchipsjvHP0q08O+1H/XpQgG0u4Cr2s8DMEgPFatb1O0kJgQF+xEYbXMnnLdrCXY9+bNK019QoKsmxMiztaxvl8OhNbfDzNX0V+foIerapSdO6hmO99t0O/l57kuzcQo6cTmf+ulO8+vU2xr20nDMpSrR7HyG49TrTedmMhU3H13+WbN5OOHqGx1/8tkSIsIjwEL77YBKBAUpz3qFj55jy2o+lxqH0ZoErLDKcX2X+VlRnBXAxqqiVj3WbTT3lzl5I45+lWxk9tLuVPVQcxXw8V8qB7xBCcOBwEg8+8wXHTyWTX1BE+9b1iYqszpx/NgCwfksC/63fx3X9lOa75k1q8996ZfjAv2v2MMJKTFBd89f9I1tx07WNOXsxm9yCIqKqB1EnNgR/P1+uZuVz60vLSbmcS0Z2AdO/3cH0b0v2ewEE+Pv8v73zDo+qaPvwPekkAUICoUPovffeqwKKqICCoBRFP3xFFBQFlKZYEaQqTToKAkoX6R1EkN57qKEkhNT5/jib3T1bkk3dZDP3de2VPXPmTNnsnt+ZmWeehy8GNaBW+XzGNFvCduTIEf766y9Acwb9v/7P8u2MNQD8sekgX09bzYdvP2fM71eoCQ0KNeG7r70ZNPhjAJav3k3LRpV5IZFQPoVrdciUU3xF8/sjhCZsl28+dtkoAWrklo4oYUs977zR0WgtmcDor5e6pPd2Z5Bw8414EsXd+3ojkWiD6Xvl8sWYPN60lvbXjmOM+F83enY1TTXNN4sJ18VMzFat38++w4lHHwDI7e9NpZKB1C4fTIlCuYzTirn9vfny7Qbk9vNK9Poc3u7MGdGSFmZ732wJG8Dq1auN7194oRvDB3el/6utjWlfT13FxgPh+BVqoptOe63XS/R6pZvxeOx3v1ptWLckM05T5vT1ok6FYECb5l+x9YKTW5Q+KHFLByJu7FDClkaULJ6fzctHs2HJp8a0G6FhXL7muj7xzImPj2fsd8v536ezOfLfxaQvSAHXD63j2MnLurQKZQrrPJHUqlrK6CMyPl6y4s+9DOzd1njevG3VK5cwbr6Pio6lU6/xrNtyWFdfckY01crkZc03HXnnhcr4+miTTZam/pFRcZw3i65tT9gAfH1No5SAgADyVezDZx90p0XzRsb0AYM+5N9j1vvrJo4fQd68WviY66H3bboQs0VmE7iuzUsa3+/9z7aBTFZHiVsao0Qt7RFCUKNKSVo2rmJM22AWZ8xVuXL9LgWqvMEPP61l0YodvDdyTpqWby4wd0/v1Z0zH6kl0LppVeP7UV8t4fS568bj0NsPjBvshRD8ML4f+YJyGdfr+gyewoSx33Pt4NoUtTWnrxdu7oInT7XRpK2B++6j2k06MWEDqFbNZP24ZcsW4uPjKVj1DebPnkSpkpqV5ZMnkbzc800eP9ZHrs6VKycff/h/xuNJs9Zx/4Fj0a0zk8BVKmmK72bL0XRaTqc6w5gElLilKUrY0hdzzxYz5m90GY8Rtjh74SZNu4zQpRUvms9O7tRTtUwQtcrnw8fLnYnvNKBqxRCrPHfv673DTJ+3UXdsPv1YvnRh1vzyEeVKa9OEUkq+W/wvY+ccMoaSSQ5SStbsuJRontoV8iUpbAANGzYkd27NUOX8+fNs2rQJgCIlarFs0Qxy5tQ2mF+9doM1f26yuv71Pt0pXSoEgIePHvPjon8c7kdmEbiCeX3x9tSmfu8+fErYY9vWn1kZJW5pgJqGzBhe6tzQ6BLp2s17/LnZNX1NHj99lS6vTeBJpD5asrnZfGqxfDJ3d3Nj1kfN2THjedrULWrzyT3sgT645b8nLumOJ//0p+64ZPECTBlcU7che8XWC0xefozkEhcvuXjzsd3zhfL6MXzyNrvnzfHz8+P11183Ho8ePZqYGG3trGa9dgwa2Md47viJM1bXe3p68tnIocbjGbN+4U5MiMMjlMywDufu5kbJwqY4dueu2vYmk5XJtuKWIEjmr5SWk1EcP32Vl/p/TYceY3h/9Fxu3XG9L2Ri+ObwprdZGJw9B61vPFmRi1dus37LPzyJjOLmrTC6D/zWyrjj8w+7E5QnZ5rUZ2/KSQihM8m3XBuzrD8uTm8y/89/F3n46Inu2sBcPswY3oxnGpo2Vc/98xQHTtje/2YPdzfBCy1K2jzXuFpB9hw6gZ+ftd9Le7z99tu4u2sjl7179zJq1CjjuVp1mxnfnzxl2ximS6d21KujzSRER8cwesy3gO0puENHz9PjzW955pVxjJy4xPi5OVvgypptszh77YHzGpJOZMutAPYEyVZ6Yk9jGT1a+3LKSrbuPg7AoaMX2LnvJH/9+hn+fj5JXOk65Mxpisl17eY9J7YkbXj0+AnNnvuEp1ExlClZkJx+Oaw80Bcvmo9XuzWzXUAGkCBwz3esy49z7K/FeHl58ODU34Rb7Fnz8nTnswF1OHP1AWcNI4SbNjZqJ4YQghF9atG4WkHW7r5MbJwkOE8OnmlUnF6jHTPqMKdUqVKMGTOGjz/WTPsnTJjA06dPeemllzh0yDQjkLBmaKs94z4fTusOLwOw/Lc1DH77dWrWqGK8ZyTcHz4et5B/DAY3B46co2XjKjRvqAV8deZ2gdLm4uaCI7dsKW7JITNNN+YLzKU7vnjlNn9sPEj35xvbucL1WPDrduP7qhWtXSxlNc5dDDWak5t730/A08OdWV+/lWYPMKm5kQZFnqRO9dJ2nScLKe1uCnZ3c+NRhGmatUJIgEN1xsXHs2TjOXYevYmPlzudm5Tgi0ENjKLjyBqbPYYNG8bff/9tXHP77rvv+O6773R5GtSvbff6BvVr0fnZtqz+Q1t7nD1vCTVrmIye/Ao14e6Fv4zClkC+IP3v2FkCV6ZogPF9ek1LOsuYBLLhtGRmEqvk8r+Bz5LDR7/fZ98/rjE15whPo2KMfv2EELz1Wjsnt8iE5Z4oRymYP0+i50e+/xLVKzvmBDgjGP5yaewMZoiKieO/87ZH07fDIrl1X3PA7OPlTolCuazyxMXH8+Spft/YjiM3+XrREfb+d4uth28wZNIuXv5kI8fO30uVsIHmWmvBggU0atTI7vmuL76WaBnvvNXX+H79xq1W+y//u6bfHF2iWDAVyxaxKscZU5Tm3l/OXXuYIkOfzEy2E7esTNFCeRnc7xld2t179hfZXQ0vT3fjCEZKyYNHyZvaSg8sRS25Alcwfx7Kl7YddLN9i+q6KNipJS1GByUL56JyqUC75+0ZfRy/cN/4vkKJPFbutu48iOT5YetpPmgVizea1rnOXbMeUZy79pB+E3bopg9TSnBwMDt27GDlypW0aNGCqlWr0rFjR/r3788ff/xBpUqV8A0oxS2Rh1vC+kGkXt0aBOYJAODmzVucOq0f1Y4d/73u+Nk2tRF24vFktMAF5vIxBi59Gh3HtTuObWnIKmQrccvKo7YE2rWorjs+evKylS88V8XNzY2aVU1GBQftTI9lFOZCdunyVWb9vJDLV64lexRXukRBq7TCBQKZNPYNuzfClJBWN8/iJW0bdgCUKmw9IgO9uFUuaS2O3y76l6u3womJjeebRUe4brjRPnistxhNiKjt6enJL7/8QmRkpFVZyUUIwXPPPceWLVv4999/+fPPP5k5cyYdOpg+rxK5bQu6h4cHtWuZ9s2dPqOF5gkPj2DSlJ/Ys08vwJ3a2p/mhIwXuNJFzNbdrqTt1KQzpyQhG4mbKwgbQKVyRfHzNa2/3LwVxv5/nHuTz0hqVyttfL/3kPOmZM1/uOvWb6FS9Rb8b+gonuv2unFqKkHkEvuRh0c8Ze+h07o0d3c3pn/1JnkC/NO83am5eSaYsNsLQgpQq1Vnm+mnLocZ31cqoReKp9Gx/HXwmvE4Ll6yeb92/DDctP9q1Bu1WTZO84oSERHBpEmTGDduXPI7kkLsCVzp0qZp4zNnLrBg8QryF63Gx59+ocuXK2cOY0DXzILl1GRa4Wxhg2wgbq62B00IQfky+mms3/7caye362Ee2+3XP/ZYWRamF0+jYpBSWolV2IOHdOsxwJTvaZTN0ZY9kZsye52V2f/w/3ueejXLWOVNK5IjcAmClnCNlJILl2/ZzS+E9TWgTXslEJRbbxxz8mKYzlM9wH+GkZ65EUpuf2+KBPvzRqcKxrRx48axb98+h/uTWnwDSlmllTUTt8/GfcvAQR/avHbGV2+m6Ug8LTAXtzNXH+jOpXQaOzMIG7i4uMXHuNYccgKlQwrojo8ev+SchjiBxnXLGzdyh0c8ZfTXqTMqcIRvp6+mdL1B1O04kkuXr+rO/TDlZ91xl86JG7mYi9yN0PtMm7tedz5/vgDeeq19GrTaMQ6eus3EBf+wdPNZnTGHvY3Gh45eMLrZSsDDInaaOQnl+OQMMqZZxuS78+Cp5WU8MIzYHj8xtalkjcYUrtWBjz/5P8qUMYn/8uXL7dafHlgKXJky9qdpAYoVycf8yYNp1aRqovkSyMipyYywmHQWLi1urkrpEhbidvKy3aCQroabm5tu8/CaDbbDn6QVsbFxfDt9DdExsVy+co0xZgYCm7fsYOI3U3X53//fQIfK9SvUhImzdhL5VL+m1OflFnh5pf8OncK1OhAfLxn8zU4WbzzLF/P/4dP555L0njFnyRbjez9fb7y9PIxrvkIIu1sWzPeLBZWpqxvdyTylrfIHBheicK0OuPmY1vA8PbXPJad/Dr799ltj+saNG62uT2/MBa6MwRWXLRb8+C77132hcx2XmShRKCduhtHk1dvhREalzqVdZhm1gRK3LImlAUJcXDz9hvzIo8fOtx7MCMxN42Ni4xLJmXpu3Aozhn4BWPH7WqKitFHFFxOn6PLmz5+PfHmDcISLl66waMlKq/RXuzVNRWuTR4HqbXWf35adxxIN4XL3/iNWrdtvPF7+0wf8/N3bRhPyUiH58c3hbfNaYSZulibn+2ysnZYuqX3HzR9k3N1Mtytz8/0LF5wTsiVB4AoVKoCfn+14aK++PSlFZWfU6M3Hy4PiBbS1XSnhfBquuzkbJW5ZkIa1yxnjXSVw7OQVXn17EvfCHnPy7DUGDZ/J0M/mJRlvKivSw2zTupSS39el35rL7af6UXJ0dAz3w7QbwJ27+j1dwfny4igREdZWfn5+vlYbfNMTIQSxcXqhcbe3iQ1YtGKHUehrVilJ7WqlmGo2rZoQrNQWbsJc3EyCdeS/i6y08f/bYQhSG2submbbB8xdbT19+pTYWOc40fYNKIUQgrKJTE1abuLObJhPTZ5V4qZwJnkC/OlvY//T3kNnqNB4MM2e+5Rf1+xh/rKtzF/2txNamL50bldHF/7m3U9m828arzsmrI1dvnLd6pyPjzfbd+7l3Hl9nQ3r13K4/MqVytG2td6lVkTEE3Ycy7ib9Mmz+r5VKFvEOPVnyf0H4cyYb5r+69ujJbsPnGL3Ac3S08PDnX6vtLZ5LWjTyQmYb3Retf6AzfwXDNPs0dGmz8Nc3Ly8vChQQHvwiIuL4/JlfTy6jMQ3oBS9er7gtPpTi6u64VLilkX5aHBXale3ttyy5JMvFvP11FXcCL2fZN704Nadhwwf+wsDh05n+rwNVs52U4KbmxszvnrTuPYY+TSa1wb/QJiDcbWSwnzd4O5d/eeWI4cPT59G8VJP67W1//1f/2TVM7Dfq1Zp7w4dCbkdF8nEOH8pNNGgrv+d0gvCjdD7VmuAoM0KPN/nC6MhSYHgALq0r8s300wRrV/u0pBihe2PXN3sTEuev2w7UKaPtwfR0bFcvGKyzDQvPzw83OjJH+DhQ+felN99fyStWlq7wStRLJiqFVLmJi6jpiZ12wFSIW6Zab0NlLhlWby9PFn44//sercwZ+KPv1O91ft06DGGqXPXGz23ZwTjJ/3K7MVbWLluHyMnLmHV+v1JX+QAuXP58suUd8llcKR8IzSMafM2pKpMW+b6Of31nubzBgXyy4JfefxYH/5l6cJpFCuW9P/CnGZNG+Djo1+junHjFhs2bU31jWLD30do8MxH1O843O6o1t8vh+744aMnujBCx09fpfvAb2nVbZRulPftZ3048t9Fduw7CWgjqnf7P5toe4SwFrf4+Hj+/c9220qFFOT0+RvGNcFiRfKRK6dpXevbb7/l3j1tWrhIkSJUqlQp0frTGzc3N9b8sZEeLz9nTAvOm5tV84bbHQ1nFsroRm4PrFyIZVWUuGVh8gT4s/ynoTSqU96h/IeOXmD0V0up0+5DJv+8Nt09m8THx1vFXDMPaJlaSoUUYOKnvY3HS1ftsvvDNN9Qbe9li4CA3Lrj0Ft3uHHTerTRplXyDUFy5PChciXr/92Fi1eMbbZFVHQM127cSzRYa693NEOGuLh4lvy+02aeNs2qUbJ4fn3dhj1sW3cfp333z9myUx97rfdLzSlSKC+ffbPMmPZip4aEFA222xawWHOT2vfu8LGL3LwdZjP/M61rsX3vceNxpXJFjf+n29HFGT9+vPHc6NGj8fa2bciSkeTIkYNOXV4yHtevVZYCwYn7Ds0MFAzyw89HE+AH4dHcfWi9NSOtyEjhVOKWxcmfL4DfZn/A0pnv827/Z+jxfGPaNa9O0UL2rfYePIpgzLfL+eGntenatp8WbubRY73hRFqH5+ncro5x9HbzVhhXb9xzWLgcISBAb+ARExPDvfvWN+Qvv55qleYIFStYb9a+YrbOZ972iCdRfDRuAUVrDKBmm6EM/GCGzTL/Oaa3HrQX98/H29PKKXPC1N8nExYRZVjvcnMTdG5Xh+8+68ON0Ps07fIJh/49b7zmfwP0/k5tYb7ZPsEYaveBU1b52jarRs0aVejavT8//GQaiT/b2bSm9fm4740WqzVr1uS11xJ3bpyR5MljErPzl0JZt+Uwf+/6L8U39YyYmnRzE5QqYntqMj4+nqs37rJ97wmWr9ltd9bH0d9YRm5iz9zjZYVDuLm50aJRZVo0qqxLv333IZu3/8uS33fZdFU1b+nfvNv/mXT5wkU+jWbyz9YeDp7vWM/Ytlt3HlDcYropOdwLe8yMeRt0AvqYkBSVZY+A3NbWi/sPHOHlFzuzdLlpzenbSTPp/8YrFCyQ+AjGkooVylqXf/CI7tivUBPCr2+nW7+vdKKy77Bt92OWDy2VyhW1me/HOetYYeHdpm3z6ty8FcaZCzcA7ca35bfPOHnmGm8Nm2lVRvnShSlZvIBVujlH/rvIEcPUqIeHu9GF2vFTV63yVq/diPf/N5AXewwg7IF2ky1WtDAvddPcei1e+jvLfjV97j/88AMeHpnnNlavXj2EEEgpOX76Kq/932RAWyN/b2AnJ7fOmpjYeJb/dY6j50yWv+Z73Sb8sILla3ZTvkwRtuw4RmCAP1+Nei1JH5mZATVyc2GC8+amZ9em/D53GAN7t7U6fz30fqJ+AlPDlp3HrFxjvTfgWfx8fej51ndUbvY/WnUbTdUWQ2zGMXOEEeMX8v2sP3VpeQwe2tMKy2lJgGvXb1KzRhXdTTUmJoYFi35Ldvnly1lvYD5+4jTh4fo1vWNX/XTCBtrUXQJnL9zk2VfHE1ypr9VUsOVDD2gPH599vUyXNqhvewID/HXm/Q1rl2PX/lM2hQ3gydPoREclIqA2//fpQuNx29bNKFyhPX6FmhAZZ/1Q4+npwaDBH7F9p7Y9QAjBzGkT+ffoCV54uT/93hxqzPvcc8/ZDVfjLPLkyUPz5s2t0ucv25riMpPaWJ8aRv+0n68WHtGlBeTUpnillPy8YCM3QsPYbgiSfP9BOG+89yNvfzQrRWv3GenkXYlbNsDNzY13+z9jM6rw8dPWT8+pJT4+nolT9BuUu3asR4dWNWn+/Kds3n7UmP4kMopTZ69ZFuEQ98L01pE9uz9HmdIl7OROGZbTkgksWrKScmX11qoHD/2b7PLz2BDP+Ph4q6nPT0Z9qTvu270lnw/rAcD0eRto1Olj9v9jvZ7ZpH5FalSx/kwuXbX2aPNuv2c4dvIKPy00Rbb29/NhxIRFdtt/5dod/j1+iVm/neZiWLDVdPDIz74yesr38/Ply/EjjNfmy2c9dR4R8YTfVppGnqM+GUL44wjadOzO+o2mbS1ly5Zl8uTJdtvlTIYMGWKV5u3tmepy00PkthzUbwepVT4fVUpp/5d4KY2juNi4eILzmb6ry1fvptnzn9icWrbH3Xv3GWHxPU5PlLhlE7y9PPFwt/YBeOxk2u8POnvhptUeqp4vNOXVtydZmZo3bVAxRa6JchRoxNFT+jpaNEv7p3hb05IA/x49wfETem/+Dx6k3Sg4Ksr0OUkp2bv/sPE4dy5fvvy0Fz7envw4Zx0jJy6xWYa3lwc/jH3d5rTztRvWQUWv3bzPB5/NM27XEEKw/u8jibbTw8ODti9/zoiRX/Ds833IkbskvgGl8A0oxa4DF5g2c74x7/ffT6JyjZbG8x8MG4mnp+mmX7VqVQLzFdOVP2/BCrr1GKAbHfbu3ZuDBw9SpIh10M/MwDPPPEPr1vo9f2MMDyKpJa0jdpvH5uvYsBizPmqOp4cmC25C0KxmIeP5BVPe5cXODY3HN0LDeLHf1/z2x54k6wl78JBmrV6w8sWanihxyyaM/nqpzo1UAkt+t29hmFKiY6xdYv2+dp/VFGi/V1qzeNp7yTKVThgRXLp8lbCwB7pzhQsnvvaTEjw9PWlQz7F9Z9WqJW2Ovm3HHqrVbo1fntJUqdlSF1HAnKdPTaFevv5uuu5cj+e1xfupc9dbTS0m0KltbQ5u/IrCBW0bFtm6IbXqNorDZsYojnwvzD2D3LlzByEEP/30E0II2rY1TYV36tSJN954Q3dtlSpV2LJlC8OHD2fevHns2rWLnj17kiOHaYvCxYsm7x5eXl5s2bKFefPmkTNnziTb5iyEECxbpv+/HD2R+ofItBY2gLb1TOuxN+8+0T0IfTJjHw8eR1HEYJxWIDiAHyf05+fv3ibQEI4pJjaOt4bNZNKUnxKtZ+I3U62cjqc3SYqbEKKbEOI3IcRlIUSkEOK0EGKCECKnWZ5WQogFQojzhjznhRDThBBWq+tCiOZCiFNCiEdCiBlCCC+zcyFCCGl4tbRx7U4hxNZU9Ddb8uOcdfyyfJvxuKvBqAM0i67H4akP+GhOgtd+cxb8tt0qbcywHg4Lm6XVo7nHiwRCits2nEgtSxZO44dvx9g0/khACEGPl55LsqzvJs0yeja5cPEKd+5Yj6AAoqKikFIyesw3jB7zje5cxJOnTJ27ntFf6SMiBOX24e8fu3Bo7ot8/mpJYq/s4fqhdVavOVNnsmJt2rssK168OOPGjaN/f/1m9nz58jFr1iybI8jGjRszYcIEevfujb+/P6VKlWLt2rVUrar3oF+3bl0OHTpEixYt0rzd6UGePHlYuNC01rhr/8lUlZcewgbQqnYR4zaNf87c5dZ90zra/uO3OXz6Ltdu3KNn18bGbQ2d2tbmr19HU66UaVT38adfMGzEOJtratev32S62Qg+o3Bk5DYUiAM+BtoD04C3gE1CiITr3wSCgLGGPBOAzsBeIYQx4qIQwg9YBswCngdqAO/aqTfjohC6KE+jYvho3ALd033zhpU4eNT0dN6qSZUUWyvao0BwAEXsjBjMadJlRKJrfomZ8hcvVoQC+fPp0k6cTJ/gpXmDAun0bFsrX5Lm9On9EjWqWxtuWGJvdPn+/wbSrGkD4/H1G6H8tnItX307zSrviTPXrIStZOFcLB7ThoCc3jbXVhM4eu4eo2aZNtLn8HZnzIC6eHtpU9buboLSRVLm37J69ep88sknujQvLy/mzZtH/vz57VxlTfPmzfn333+5c+cOx44d4/Tp0+zdu5fKlZP+fDMTzZqZ3Ksd/Pd8iv28ppewAQTm8qF2BdPvaP8J01psrJknmeH/11V3XeGCQaz55WPq1zI98E2ZOof3ho62qmPz3zuJjtb6Xt2B2Y20whFx6ySlfElKuVBKuU1K+T0wGKgHNDfkGSSl7CClnGPI8xPQAygBvGRWVgXgqpTyGynlX8AYwNbu141AfSFE5rOdzcRIKZmzZAtvfjCdAUOnUb/jMH5e9JfxfLVKIdx/EM4Vg0sm3xzefPFJrzRvR8STKB5bOAbOnctaQM9dDKXX25OsNiM7sjdNCMHIT/QL9/3eHMrN0LQP/RMfH0+TFs/ZHWUBfDZyqN1z5nw14VM+GPIW3t5euvT+r79C3drVjcdLl69m7fq/sCRPbj/OX9RvIm9YtQALRrcmX0AOq/yWTFp6VBc4NDIqji/mHybKkBYXL7lxN/lWcC1btmTVqlW6tOrVq7N161Y6dEiZEUTevHmpXLkyZcuWzXRBPh2hcOHCxrhzT6NirPYfOkJ6ClsCNcuZxO3kJc2Q6c6DSN3yQujtB1bXBeT2Y9msoTqr3Z/mLGLeL8u4efMWn439lrv37vPPPyZHALasj9OLJMVNSmnLOV2Ct9PCjuYxcAUobZiaDAJeBWw9bv8KHAbGiqz4rXYSC37dzrAxv7Bi7T5+X7efG6Emi7vO7epQvEg+49y/EILpEwdSvEg+e8WlmGFjf7EyEw4M8Gftok+s8l67eY8d+06maMN1TzNXRwAPHjyyCkOTFoSG3ubadfvbFVo0b0RQoGOeKHx9czD60/e5eHqfzpP89l37dK6bNm7eZuWHs2LZonz07gs8eGTaJiAEfPduI3J4Jz29e+v+E46eu2uVHvFU/3Dx5Kl9zyeBgYE203ft2mV837JlS54+fco///xDgwYNbObPLphPo+7a77hlYcIUckZQIcT03T127h4Dv9hK28FrdN+D/PkCbF7r4+3JT98OoltXk/u1z8Z9xzPP9WbiN1P56JMJzJptsrbdum132nfADik1KEkYbyc2kWyVR0p5G/gE2ATcBUoC460vRRryVQVeTmEbsx3XbljfuPIG5eLLT3vRolFlVm8weWAfNfSldAmgeOFyKMtXW3+Bg/Pm5t79xzavifEKsZkeHR3NxK+nMmjwRyxZtsrqvKenJ6UtAkX+tvLPNN9LU6BAcKJbDGztVUuK3Llz0q5tc+Px5ctXKVe2FCVCtHXDp0+j+HXFH7prTpy5yoef69cuGlUtiJen/UjYACf27OLEnl18OWOLVYib5NKjRw+bgpXgMSRnzpzMmzcvU7jDygyYT00eOno+kZwaGSlqCVQoYRK34xfv66YmAZ5pVJyC+e0/vLm7uzFt8gTjA96tW3eM2z+W/bomHVrsGMne2i+EKAx8DmyWUtoMg2wwNvkeTdh+Nz8npZwshFiAtkZ3QUpp804kpVwnhNgJfC6E+FVK6VAsECHEAGAA4NC6jytRxmyBF+CXKe/SqG55vL08qNX2A2P6Ky804a3X2qVLGw7+a3vqpesz9fn0y8VW6V5enjRqWNfmNZ+N/Y7vJ88CYN4vyylYMJhmTfQ31lIlQ3ShZ8IePOTJk0j8LRweJ0ZcXByjx3zDvn9P0/213jzz/HP6DO7Q73/vMeydwTavTxCk5PLv0RPG9wnGMJ2ebZssc+kWtQpzYs+uJPPdD49j26mkpxt7NsjFoj2PbJ7Lly8fP/74Izt27MDDw4OmTZvqPPN7eHgwbdq0TGui7wwSwvIARCWy5pbRgmZOvoAc5MuTgzthkZgbyJYtFkDLWoXp+2zSvmt9fXPQonkjqwcyf39fHjx4hJ+fLxERGRtMOVkjN4NxyCogFuhrJ48HsBhtOrK7LVGSUoZJKc/ZEzYzPgbKAH0cbaOUcqaUsraUsnaQDas9VyU+Pp6Fv5osEps3rETrplU5ceYqazYdNM6ZB+fNzbiPXkn1GkZcXDwLft3Gr3/s0U2f2TIfr12rGvmK1rC5cfirCZ+SP9g6VIqUktlz9WJo6ykwpLj1jdTLK3kbZhcsXsG3k2aya+s23n9zEGH3rcMDdXnpRQrZuWkHFC/PLZF8B7k3b5rCuQQannrf/99ASpV0LERKtTJBdGoc4lDeEzeiiE9i0OblIehYzZ+igaZn3vLly1O8eHE8PT25c0dbfWjSpAnt2rXju+++IzAwkKCgIN566y1OnjzJK6+84lB7siP3wh5b/T6cMVKzRefGIVQqafoOD+tVg6Vj2zLw+UpJzgwARNzYYdOgata0r6lXpwbdumr+R+vUth/QNq1xWNyEED7AarSpxHZSSiu3EgbryXlAa+A5KeVRyzzJQUq5A1gPjBRCqHmORPhz82F2GbwFCCF4vWcrur4+kWdfHc+bZg52q1Ysjm+O1H+Ui1fuYMiouQwaNpOGz37Eo8faU5mvj5dV3oOH/uX1AXrjDw8PDxbN/5F+r/e0WX58fDwxFtGV585fxvadmi/EK1eus3PXfvbs07uaKl+uDF5e1m2wxy2Rhz/+MvlXjI6KYs1vK6zyeXl50av/G1bpYBL0WyJPskSuVk2Tufsno74gJiaGvEGBrF31C106tcPTw518QblYOvN9fhirr/vFlqWY+kFT/t21i+PXo4iOTVy5rt9P2lKvejFv9pyL5Op90+fu4+PD5cuXdSM0gEePHlG1alXu3bvH3bt3mTp1KqVLJ3961tUJDjbthjp59joz5m/UbcvILAgBxy9oa/TNahaiextrh95J0axJfQDyG6yYCxcqQJtWTdjw5yJGf/I+v/86m83rliZWRJrikLgJITyB34C6QEcp5TE7WaejrZF1N1hDpgUjgCJo2w0UNpBSMmmWaTpgYO+2bPz7CHsOnrbKe/qcdWTplPDPf6bNtRev3ObH2doPNc7B9a6O7VvSpZP9qVF3d3caNrB2ztqh06vkyV+BCtWa0e7Znhw9pl/2bdG8odU19kgQosC8+unryRO/Jvyx9fqgvdHu40faNN7+XbtpW68BPQcO123CtseI4YPx9dUsHE+eOsfy37T/YZEihZj1RXcuHJjGP5u/oUWjyuw5ZPpf9mhbho/71GLP37vo//NNxq++y+ztDxKt616EyfLN3pjd20Pw42aTEVJQUBBHjhyxW+aGDamLn+fqnD9/nvbt2+vSps1ebSe3c6lR1mRYFpoCa1mAGtUrM37McP7euJzxY4az+JepeHp64unpSXBwXtq0apqhTq4d2cTtBiwEWgFdpJR77eT7BugH9JVS/p5WDZRSHkYT1o8BxxdSshFbdx83WkH6eHvSpX1dFq7YYTPv1Rv3bLpeSg6ht8NY8ad+E/A9QxTs7XtO2LrECns+G835cMggm+kJe2ZsUa+OY0Yy5iOsF3rqXSPdu3OHlUutPX8c3n/AKg00cYuKimLIwLc4d/oMq5b9ynsjv0uyDSVLFOe9waYNz8M+Hsdts+0G3l6eeHlpN4PQK6aHiZrl8nFizy4+XGKa5j1z0ySm+07etXqduWGK0WVvjLfjjGn7RlBQEAEBAYm2v06dOomez86EhobSqlUrrl/XP0zevPvEuO0iM1G1TJBxM/eZqw8Ij9T/xhwdZb77Tj+KFyvCu+/0081MOANHRm4/Ai8CXwMRQoj6Zq8iAEKIYcAQYA5w1iJPKftFO8ynaAYo1dOgLJfjBzPP+K+80JQNf/+TqOukkyl0VJzA3CV/E/FEH9CwYHAeHodHsnK9TRsjAAIDA4zv/XyT3jjeuFFdRo2wdkKbGP5+iZdra+qwTLlyVvn+MROy+Ph4Jn0xkY1/mD7n2g3qG98/fvSI5QsWcuOa6XOdP+sn/ruT9FRgr57djO/vhz1g/oLlRNywfjAxN8u+e/E0dx7H6tbQbj2KMwqZJVExkjvhtr8PHjbuAM2aNeO///7j/Hn71n0bN26kS5cuds9nd4YNG8bly7Zdbs1cdZxFG87w4HHSo/uMwj+HJ8ULaP42pIQbdyKSuCLz44i4JezAHAHssXj1s8jzuo08n6a2kVLKU8AvqS3HFTlw5Jxxrc3Dw51Bfduz+4D1dKQ5tnxMJoedFvt1vDw9eOWFJvy5616iFlFuwvR1C85nbURiiw+HDmLrpl95rdeLOie79th34B+752ythz2NjKRvN+vdJtHRJsfFnw4ZyqQvTN7Mq9asQYGCBY3H7h4eTP3mW6sy4uMSf0JfvPR36jbqqEt7fNfas//1Q+t0N8LYOMnMLfqoAYUD7BsIXbpvf6q4QgE3zB2aNGzYkNWrE586mzt3Lm3atEk0T3YmJibGyrekObPXnOKrhUcY9ZPtmQBnkdfMCcD9R+kXjTujcGQTd4iUUth5jTbkaZ5Inj6ONkZKeclwjZUXTillX8O55snon8tjPmrr2rEeRQvl5fI1W3vqTcxZsiVVzpJz+uujaecNykm+ki2YPU/vnd7SavHhI5OJ+TMd9V7TE6NO7epM/WECu7auony5xCcC/li72Wa6PUOPz4d/zIE91k6EixTXvNNv/2sLi+fOM6bXbdiQHn368OfK341pjx4+JPSGfpN3SKlSBBcoYKw3OjqaY/+dMoayGTP+e/q9OZRHj01he7y8PHm5iz6ywfVD6wiPjOGsWXTkb9bd58QNfXSFmkVtW7SFR0n2XbIvsrWLeXD6zFm++OIL/vjjD3bs2EGuXLls3px9fX25fPlypop8nRm5efMmT59q4uDv7283X+i9jDWNT4onZkFKvR2wkMzsZJ4QttmEfBX7pPjaOyfm6o5//WMPG7YeMR7/3xvaKMDPN3FryO17TvDHxoN0apeyNZNGdSvw1w6TTdGN0DCe6/Y6R/49rsv3bMfWrPhdm6v39c3Bkyfamk7FCmWpVNG+E2J7VKpYlk3rllKzXju7rrBOnjrLpctXqVituS7d1hbsEydOsGSebYeu/V7pRYncgYz63TSK6dy5M1988QW1atUyPhy0aNGC3i++zIzvf9Bdf+3yZaaP/5KmTZuy7soVxowZQ2io5jarW7du/Prrr8a8gYGBPPPMMwwcOJDaFsE381Xsw9WrV4mX+vh4lqz6N9rK4GXnzp1069aNB5HalgMPDw+dF/+aNWsye49mbTps2DDdtZGR1s60f//9d4oVK2aVrtCTP39+YzTu8PBwu/ne6FQhA1uVNLfMxLZAkPX0/vVD6xKNJxdxY0eyPAylNyrkTQaSGmEzv/7M+Rs888o4BplFR36uQ13KldY8nfV6sRk1q5bE38/HVjEAfDpxMeERKZt66Nm1CT4WwRctpwP9/f1o2MAknnmDTG6bWrVsnKJ6AQLzBDBimO3N1Als3qbtQJFSsmfPHrZv364bqT558oQBAwZQqZJtJ661a9c2Gks8eWL6wXfp0oUvvvjCeOMvWbIkixYtomHDhnTr1k1XRmxsLF999RWdOnXi7bffNgoboBO2Nm3acPHiRebPn283qnTRokX58ssvyZXLvhHO+vXriTNMg0opmTp1Ki1atODWLU3Y3N3drXw8fvbZZ3bLe+ONN+jVqxdeXl507NiREydOqKlIB/H29k7yIaBVnSK6cDPOJiY2jnuGqUg3IciXx7af0qQMSyzXiyNu7LB6ZRRK3DKI1AobaDfaOX/cplW3URw4cs6YXrRQkM4B8qA+7XmmVU2jeOX0t/6i3ggN49vp2qhk76EzrFy7z+HQN/6FGibp4Tw8PIKFi037xfLmNYnbrVvWRg/JoW7dxC0iZ82axZUrV+jZsycNGzakWbNmuqjNy5YtY9asWbpratasaXxvbihRsWJF4/uzZ8/qTON//PFHoweK6dOnJ3tUU7lyZZYsWZKoaCXw4Ycfcv36dSZPnsxbb71ldb5jx46EhITQp08fmjdvzttvv20cpeXNm5dNmzYxY8YM2rdvT/Xq1VmxYgXPPvusVTkJ5M2bl/nz5xMVFcWff/5JhQqZa5SR2SlotiZrib+vJ/06VeBheBTX74QTE5u27uJSwm0z7yR5A3zwcLcvDY4IXEYLmS1celrSzdM/0WFyRn34aSFsjx8/pn79+pw4YTK19/Rw58XODflo8AvG4IEA8fGS2Yu3GI+HvNmJbbuPs3W3ftpw1oJNlC1ZiMGfaO6egvL4s2LOMCqUse8+ya9QEwa9bi9KkZ5/jvxnfB9SvCiHDd7Bj/2XuthW5cuWwt3d3ThSseS///6jeHG9l4958+YxeLA24ntktvYHmkl7uXLlOHxYi3Zt7j6qcGGT3+9bt24Z11IAXVDNoKAgVqxYQYsWLXhssUeuYcOGtG/fnsePH7N69WqKFy9Ojx496NmzZ7I2nPv7+/POO+8A0KBBA95//32j1xCAa9euMW/ePN01NWvWZOXKlUbhXbcu82wcdlWklJw+bd+oKzY2nh4jNxmPi+b3Z8mYNvj6JM+zTlpy02xKMn9g0pbMSU1RZgay9cgtI+aH00LYQLs5mwtb9erV2bR8FN+PeZ38+fRhJLbvPcH1UM2FVFAef/q90pqqFa1dOkVFx/LTIpMBxr2wcLoP/JbwCOsRXILH/idPIlmzdpPV+aQwD0papLD9p9qwBw+Z9fNCli5fbVe8vL29KV3KviNjW5w8edIoOpb7t2bNmkVYmMn6ME8ek/HJ1aumeHOBgYE0bmyaUt2yRXuACAsLY9u2bVy6dImZM2eSO7f+/zF06FA+/fRTJk6cyKlTp9iwYQN9+vRJlrBZ0qtXLy5dusSmTZsYMmQIefNaW5+++eab7Ny5U62TZTBXrlzRfZ8seWqxz+3qrXBOXX6Qzq1KnFv3TL/5AkFJh04C5/rDdASXHrk5gl+hJuk2gksrYVu/fr1uwb9ly5asW7cOLy8vKyMT0FxjJdDt2YZ4e3lStWKIzbKb1q9o3AAOcPNWGLMXb2Fwv2eMaeYPAT9On0tUlN5SLym8vDzJlcs0sixf3r6bprcHf8yqNZrni9t37vJ/g163ma9a1YqcPnPO5jlbREZGsmzZMt544w2dQPn5+VGhQgXdmlxClO9bt27x008mw90aNWoghGD27NkA7Nixgx9++IEhQ4YYhdjNzc3KC0N6ecj39fWldevWtG7dmgkTJrBjxw5OnjxJjhw5aNKkCWXLJt9oR5F6/vnH/nYUe5QuknFxzmwRej9xYxJ7ZOYRXLYeuSWQHiO4tBC2hw8f8tZbb9GhQwejYUNgYCA///yz8anfsp6wB+Gs3XzYeNyjq3YjNw9ZYT6fXqKYdYTkv3eaphMtP5s582z7hquQiGC91utlwu6bTNkr2AkREx0dbRQ2gBmz7G9tbGTDNZclbm5ujBkzxng8Z84cQDMESRjpREREcP78ed1obe/evVy4cIHWrVsbDTIKFSrECy+8oBsh7du3j5EjR+pGmPHx8bo9cjVq1LBywZQeeHl50apVK9555x3eeOMNJWxOJCXidveBc/eVmW9LKODAtKQ5mXUEp8TNQFoKXGqFLSwsjM8//5wSJUowffp0Y3qRIkXYuXMnISEhdutbsXafcZN29UohVCyrWWSZG4uY7z/LE+BH+dLm8WRh14FTfDt9Ne6B+lA098MecPmK5oUjRw4fXTTppQuns2zhdMZ+NoxVv83ReRaR8fGcPG0aZVUob9sp68pV63XHl69ct3LYm0DnTu1wd098L058fDz169c3jqR27drFmTNnCA8P5+FDk9gWKFCA5s2bG4/Hjx9PqVKl+O8/TeTd3NyYNWsWPj4+VK9e3fhg8eTJE105ltSrV48VK1YYR4KK7MHdu8kzmKpTIRgvTzenbpy+fT95a26WZEaBU786M9JC4FIjbLdu3WL48OEUL16cUaNG6ebtO3fuzL59++xarSXUaz4l2aOrqT9hD0z7bZ5Eat4uhBDUq1mWjq1MloIJfDF5JUM+HM2ly1dZ8ftaTp85z8OHJkOMoMA8FCpoGvVFRkbxTMfWNG5Yh2++m85n40weO8qUKcHZc6Y4b+XK2h65/WQWsRc0cbp+I9Rm3pAydenYsaPNcwnkz5+fBg0a8MwzpinWuXPnMn36dKNolilThjx58vDqq69So4a1FaaXlxdz58411hUcHMz48bbi60Lbtm05e/Ysc+bMYcmSJezatcvqQUTh+iR3y0Sleh3pNHQtrd5Zzfnr9h+W0hPzILZenimThcwmcErcLEiNwKVU2OLi4vjyyy8pUaIEX375pc7armTJkixdupTff/+dQoUKJVIKPPRqzM1bJkHs2lHzf/jbH3v44HPrzcpd2tchX1AuOra2FjfQAoRWqt6CXn0H06Tl88SYue26fiOU3LlNJuwbN28DtBDz23fqnSqXL1fa6Oy4UKH85M6tj7O3fedeQsrWY/dea7+UCSNFc3wDNC8lU6ZMoUQJ24Ylvr6+zJ8/Hz8/P90a2OHDh3XbAhK8bfj4+LBhwwbKlzcFZixUqBDbt2+nVy/TNguA9957j5YtW1rVWbJkSUqXLk2fPn14+eWXkxxZKlyTLl260LevzXCXNpk7d67x/f994xzzeX9f02xO+JOkfaLaIzMJnBI3G6RE4FIqbBcvXqR58+YMHz5c5xWiYsWK/PLLL5w+fZqXXnrJoeCiGzZs4M49bXTVsE45cufy5frNe/zfiJ+tNmz75vBmzDAtllqVCsUJyJV4wIWIiCdER8fQyLAxW0rJhQsmQ5RFS1YgpcTNTd/ON/r0ICjItJ6Vw8d6Y/mno7+y63Hk8hW9V/UEYQMoVqwY27dvx8/Puu2TJ0+mbdu2REdHs369abqzZs2aOvP5r776imsGh8f58uVjx44dTJgwgUmTJvHvv/9Sr149q7Ld3NxYsmQJbdu2Naa1adOGb775xmYfFNkLIYRx20lyuZnCcDOpJaeZuD1OhbhlJrK9taQ9kmNFmZSwhYeHs3PnTnbt2sWtW7eQUuLv78/jx49ZsmQJEREmD9zVqlVj5MiRPPfcc8leqzl61BQbtl1zbYrNy8tTFyk7gdrVSxm3EAgh6NS2Nr/8us1u2UUKF6RihTJ88P5b7OqmOXw1DyZ68tQ5jhw9rjPzLxFSlK+//JSoqGjjvrTzFy5z8NC/1K5VjYiIJwwe8ikHD/1rt95Fi1dQuFABqlWtSLFS1u7CihQpQr9+/Zg0aZIufeLEifTu3ZsrV67oPt+qVavqHiIePnzI8ePHjXvb8ubNy/Dhw+22J4F8+fKxfv16duzYQWhoKM8//7xDjp0V2YOQkBArd2deXl7s2LGDoUOHsmOH/XtLXHw87hm8TqsTt8jUiVtmsaBU4pYIjgicLWF7+vQpe/bsYcuWLfz999/s27dP9yW3hbu7OyNHjuTjjz9OcUA/czH8atof7Np/ktIlC5LDx5MnkXrz/ZNnrhEXF4+7wXKyaOHEvfSXK1cKNzc3XSh5y7hq+/YdpmgR09Rp1+c64uXlhZeXF12f68jy39YAMP7LyaxY9hPf/TCTJctWJVrvjl372bFrPx4eHgwZMoTPPvsMH8Pob/PmzYSGhtKuXTujuCWI6PXr1zl27BjlypXD19fXaG3ao4c+dluDBg1sTjE6ghCCpk2bpuhahWsTEBBA8+bN2bxZ20faqlUr5s2bR+HChZkyZQrVq1e367y8cvcFnFzWOyObi7+vyTgs/EnytvrYIjMInJqWTIKEzcu2SBC2+Ph49uzZw7hx42jVqhUBAQG0bNmSsWPHsmvXriSFrWzZsuzevZuRI0emKlLt888/b3wfHh7Oxm3/MnXOep2w+ebQ9lzdufeILyav4MHDCKSUbNx2JNGyY6JjOHP2Am+9YxrVmFtdenl5UqJEccZOMI2gbty8ZXw//IO3jVOrGzZt5dDho4mGp7EkNjaWiRMnUrNmTXbv3s38+fNp06YNvXr14sMPPzTmCwoK4n//+x8XLlygRo0a+Pr68t5779kss3v37qxdu1aNuBTpgvnvEUzebqpWrZpoLDxvb2+q97K95SatObFnFyf27CIi9Iox7crFq5zYsytD6k9PRGpCn2R2ataoInf+/XualGU5gstXsQ+XL19mzpw5zJkzhytXrti5UqNq1aq0aNGCcuXK4e7uTnh4OLGxsdSuXZsmTZqkyQ1WSsl7771nNUWXgJuboPtzjVlkFqXb38+HUUNf4oPPbHvHT4wundoZ96W1bNGICuXL8OO0ucbz7wzqy5fjRhiPX3v9XX5dqYXoeaZDK3L4+BiPLcmdKycjhg/mzIVb7N+/XzflmhjNmzfn77//1qXFx8ezYMECZs6cSVRUFFWqVOGNN96w66hYoUgLrl+/bpzu9vDwIDw83Lihf8GCBVaGSqCt3W7cuNF4vGiQfVd4acnus0/4cbNmjFavVA4Gt9V8wVZskLrfiK3RW3ClvoeklElvVE0l2XZa0twwITn5o6KiWLVqFeu+6su8efPsTi2UK1eOli1b0rJlS5o1a0a+fPlS3eakEELw/fff884773Dq1CkiIyNZv34927Ztw9fXl1GjRtG0aVNWrituXHcKj3hqV9iqV6/OrVu3uHnzptW5rl276jYvFywUgqXXrqbNO+g+5159BhjFbPfew0ycONGuuD189JgRoyby+eefM23aNH766SeGDh2qWz+zxauvvmqV5ubmRu/evendO2OnehTZm8KFC1O0aFGuXr1KbGwsV65coUwZbY9ntWrVbF4zbty4jGyiEV8v0yReZLRpjf7Enl2pFjhnkS3FLSlhu3btGlFRUZQsWRIhBJGRkRw5coTFixezcOFC7t+/T/369XXCFhQURKdOnWjVqhUtWrTQOdzNaEqXLk3p0tpeshdffNHq/LBhwxg9enSiZdStW5dly5YxY8YMJkyYYExv06YNgwcP5saNGwwcONCYvnDhQt31efPmpWvXrrq0RYtM+9jKlCnDK6+8Qv/+/W3W7+/vT3h4OB999BFXrlxh6tSptG/fnhEjRrB48WLdZx8cHExISAjvvPOOTXFTKJxFiRIljP5JL168aBS3Bw8eWOX18PCwu7UlvfH1Nlk5R0Q5P0pBWpDtxM1S2KSUrF+/ntmzZ3PhwgUiIiKMHr3z5s1LUFAQZ8+eJT5e/w8/dOgQQUFB1K5dmzfeeIPOnTunmw/BtObTTz+lffv2zJ8/n6lTp9rMs3nzZnLmzMmoUaMoV64cFy5coH79+rRv3x4hBM2aNUu0jq+//tpqn9eFC6aN3Pv37ycoKMjmtQUKFKBAgQLG8DLTpk3j7bffplKlSixcuJAvv/ySK1euULZsWZsOgxWKzIL599M8GsX+/fut8o4ePdpp32fzkduTaP1sVFYdvWUrcTMXtgRRGz16tM0vGmhudGy50gkJCaFv37689tprVqFVsgJubm7Uq1ePsLAwm+LWsGFDcubUNlp7e3sbNzqbkxAexh629oeNHTuWzp07ExWleUgxN8nPmzev8bPOlSsX3377rc6K8cCBA8bgokWKFNGFpVEoMiNxcXG60DfmD7979+7V5e3Tpw8ff/xxhrXNEj9vM3FLw5GbM60ms421ZIKwJYhagwYN6Nixo11hM0cIQbly5ejduzebN2/m/PnzjBw5MksKmzktWrSgSROTJai7uztvvfUWGzZsSOQqjZIlS9o99+GHH+o8fSTQtm1bNm/eTL169Yw/9Jw5c/Lee++xdKnJOuzMmTNW5vlZZVSsUCTw/fffc/y4FkPR3d2dKlWqGF3qnTypj2nYtm1bhxw1pBe+Xqa6n0Rbi1tWtJ7MFiO3BGE7d+4c/fr1Y9s2/WZlb29vBgwYQI8ePfD29qZkyZLkzp2bM2fOEBERQfny5fH1Tb4z0cyOt7c327Zt48SJEzx+/JjSpUs7PC3So0cPmxaMR48epUqVKnava9y4MXv37kVKyb1798idOzeenp7ExMSQP39+oxd+c/z8/GjXrp3jHVMoMgGrVpn2cMbFxVGyZEmklMbvuzlvvfUWL730ktNctnl5CNzdIC4eYuIgOlbi5aEX26w2Peny4uYbUIr4+HgmT57MRx99pJsK8/LyYsCAAQwfPtymAUi5cuUysqlOQQhhnO5LDh9++CFBQUFMmTKF8PBw2rRpw4ABAxIVNst6zYXU09OTDRs2MH78eNavX4+fnx9ly5YlODiYQYMGERgYmOw2KhTOpEyZMjpPJAlGULYiXTx8+JBhw4bx9ddfZ1j7zBFC4OvlxuOn2qgtMjoeL4+s7RvVpfe51a5dW27bto2uXbvq9o64u7vz5ptvMnz4cLV2o1Ao0oXffvuNbt26OZy/fPnyVtOVKdnnFhEVr1tDc5Shi25x86HmcOLLl4MpEmh7721yR2+Wa24Ztc/Npdfc4uPj6dSpk07YqlSpwv79+5kyZYoSNoVCkW507tyZhg0b6tIGDBigc7idQJ06dVK1xy0uXvLr/kdcvhvNm3NuMnbVHY5fi0pWGbl9TXJwPzwukZxZA5eeljx37pwufMyHH37ImDFjjMEmFQqFIr3w9PRk06ZNTJs2jRMnTtCwYUM6dOigWwIJDg7m/Pnz+Pv7p7geKSVztj/g75NP2HIigngJJ29Ecyb0LiM656VcQceMsQrl8eDUTc1V38W7MVQtZh3BA7LO2ptLi5u5sE2YMMEhb+8KhUKRVvj6+vL+++8bj829+gC0b98+RcJ28U40W05EkNPHjf3nI7n5UCv3YaTJ0jEuHhbsesiYbsEOlVkq2IstJzQH4xdup955cgLO2g7g0tOSCYwdO1YJm0KhcDru7u50797deLx161aOHTuWrDIeR8YxYc1dtpx4wvlb0dx8GEfuHNqtvHHZHIztZjLUunAnxmGPIyWDTTNaZ25GExdv3x4jK2wNcHlx++yzzxgxYkTSGRUKhSID+OCDD4wm/1euXKFVq1Y2t8DYY/U/4UREacIT9kQTrhfq5OSZav70b56HEvm8KZLHNCl36a5j8dmK5PEgwLDu9uhpPMevJ75ml9kFzqXFrWDBgowcOdLZzVAoFAojNWvWZNasWca4hHfu3HHYO0m8lOw5Z4rWXbGwNx90DKJmSA56NsyNh7u2N610AdMo7MdN91m27xH7z0dy4vpTDl6MZOOxcI5cfsqBC5FGR8luboL6pXMYr9t9xjlRwdMKl15zK1SoUNKZFAqFIoPp27cv+fPn55lnngFg9uzZDBw4kLp16yZ63YXbMYRFaGLk7y3o1Sg37m7Wnk3aVPZj+6knxEttHW7VYZP9gZuAeAllCnhyNjSGIH93JrwUjJ+3G43K+LL+qBZ548DFp/SNicfb0/4YKDMbl7j0yE2hUCgyKx07dqRz587G48GDB1s5aO859ZrxfVy8ZNGeh8bjmiE5bAobQEheLwa3DSRXDutbfMEAbUxz6bY2XXkvPI6N/4UDUCKfJwVza+efxkj+ufw0JV2z4vqhdWlSTnJQ4qZQKBRO4ttvvzVuTdq3bx+//PKLVZ4EgVt58DGnDab6QkDrSn6Jll2nZA4mvVqA99oH0rqSHzVDfCgV7EndkjloVt6X4Nymibv1/4bzNCYeIQQNypimJnedjbRVtI7MuvamxE2hUCicRKlSpRg6dKjxeNiwYTx8+NAqX5OP9uimFl+ok5NS+ZPer+vlIahdIgd9mwbwfocgPn8hmG51czGgRR4mvBRMvpyaYUt4lOTQRW2U1qisyY/uv1eeEhWTNeO7KXFTKBQKJ/LRRx8ZN3bfunWLH3/80SrP2rVrSbDMLxnsSZcaOVNdr7uboLGZkF00WFUWyO2Bj6c23RkXDzcexKa6Lsj4qUklbgqFQuFE/P39+fzzz43Hf/75p1Ue860CVYp442ZnrS25FM9r8h956Y425bn+aDhPY0x73HL6JC0TmXFq0qWtJRUKhSIr0KZNG+P7c+fOWZ0392KSv3ZPwFoAU0Ips43bp25EM2rFbc7dMu2La1A6B3lzpp1MZOToTY3cFAqFwsnkzp3b+P7Ro0dW5ytXrmx8f/ToUZ0VZWoI9HenjGFPnJeH0Alb2QJevN4sIE3qcQZK3BQKhcLJXL9+3fi+YMGCVufNI9tfuHABIM0E7tWGuSkS6EGz8qb1t+blfRn2bBC+Xo5LRGabmlTTkgqFQuFkLl68aHwfEhJidT4iIsL43nyKsufUaymK+WZO6fxeTHgxmNOh0eT2dadaMW9K5Mv6kVPUyE2hUCicjLm4lShRwuq8uXPlMmXK6M6lxQjOzU1QoZA3z9XKmSphy0yjNyVuCoVC4WTu3r1rfF+gQAGr84cOHTK+r169utX5tJqidCWUuCkUCoWTCQgIML4/cuSI1fnbt28b33t6elqdByVwlihxUygUCifTokUL4/u1a9fy3Xff6c43btzY+H7atGl2Y8BlBoHLLFOTStwUCoXCyVStWlUXxHTIkCEsXLjQePzyyy+TP39+AO7du0fjxo05fvy4zbIyg8BlBpS4KRQKRSZg9uzZuhFanz592LJlC6BZSC5ZsoScOTW3W48ePUo0VqUSOCVuCoVCkSnIkSMHq1evplKlSgDExsbyyiuvcP/+fQCaN2+uc821YsUK1qxZ45S2ZgWUuCkUCkUmIU+ePGzYsIHg4GAAQkNDGTdunPF8kyZNaNq0qfG4S5cuDBw4kLi4uAxva2JkhnW3JMVNCNFNCPGbEOKyECJSCHFaCDFBCJHTLE9OIcTXQoitQohHQggphGhup7zmQohThnwzhBBeZudCDNdKIURLG9fuFEJsTVFPFQqFIgtQuHBhpkyZYjyeMmWKbn1t2rRpxigCUkpmzpzJl19+meHtzOw4MnIbCsQBHwPtgWnAW8AmIUTC9UHA60AssMleQUIIP2AZMAt4HqgBvGsn+zg76QqFQuHSdOvWjYYNGwIQHR1NixYt2LZtGwAVK1bk8OHDlC1b1ph/xIgRmW705mwcEbdOUsqXpJQLpZTbpJTfA4OBekBzQ57LUspAKWVrNPGzRwXgqpTyGynlX8AYoKmNfBuB+kKITo52RKFQKFwFIQQzZ87E11fz93jnzh1at27N5MmTkVISHBxMx44dddeEhoY6o6mZliTFTUp5x0byAcPfwoY80kYeW1wBShumJoOAV4EzNvL9ChwGxgoh0iZwkUKhUGQhKlWqxPr1643rb7GxsQwePJj33nsPgEuXLunyX7lyJaObmCjOXndLqUFJM8Pfk8m5SEp5G/gEberyLlASGG8rqyFfVeDlFLZRoVAosjRNmjTh4MGD1KlTx5g2adIkdu3apXOmDJlP3JxNssVNCFEY+BzYLKU8mNzrpZSTgWCgDFBPSnnPTr51wE7gcyGEw9ELhBADhBAHhRAH79yxNehUKBSKrEPRokXZvn27LqDpqlWriIyM1OVT4qYnWeImhPAHVqEZjvRNaaVSyjAp5TkpZXwSWT9GE8E+ySh7ppSytpSydr58+VLaRIVCocg0+Pj48M477xiP//rrL3x8fHR5zCMLAFRs0IiKDRplSPvs4cypSYfFTQjhA6xGm0psJ6VM9y3wUsodwHpgpBDCO73rUygUisxKs2bNcHPTbtn//POP0dgkgdWrVxMeHm51nbMFzlk4JG5CCE/gN6Au0FFKadtrZ/owAigCvJmBdSoUCkWmInfu3Ma1Nykl//zzj+789evXGT58uM1rs6PAObKJ2w1YCLQCukgp96Z7q8yQUh5GE9aPAb+MrFuhUCgyE88++6zx/dWrV63OT506lcuXL2dkk5LEWVOTjozcfgReBL4GIoQQ9c1exvjmQogOQohuQBNDUjODd5MOadDOT9E2ildPg7IUCoUiSzJ48GCbwUwTkFKyYMECm+ey2+jNEXFLEKcRwB6LVz+zfNOA5UCCq+rRhuPENnU7hJTyFPBLastRKBSKrEyuXLmSdLU1f/587G09zk4C58gm7hAppbDzGu1AvhBHGyOlvGS45icb5/oazjV3tDyFQqFwNV599VXq169v9/yZM2c4cOCA3fPOEDhnTE2qqAAKhUKRhXBzc+OHH34gMedN8+fPp3qvpXbPZ4cRnBI3hUKhyGLUqVOH119/3e75xYsXEx0dna0FTombQqFQZEHGjx9Prly5bJ67f/8+a9euBci2AqfETaFQKLIgwcHBjBw50u75+fPnG99nR4FT4qZQKBRZlIEDBxIQEGDz3B9//MG9eybXvdlN4Fxa3ByPxKNQKBRZD39/fwYMGGDzXExMDKtWrdKlZSeBc2lxu337trOboFAoFOnKO++8g5eXl81zu3ZZm+A7S+AyejuAS4tbaGgoMTExzm6GQqFQpBtFixbl559/tnlu9+7dNtOzwwjOpcUtNjaWCRMmMGHCBB49euTs5igUCkW68OqrrzJ//nzKli1LixYtjOmnTp1i8eLFNpdoEhO4B36lWLbvITfCsu7gQLjyupQQwti5kSNH8tlnnzmzOQqFQpEhdO/enaVLTeJVp04dZs2aRbVq1azyHvnlZd3x/UdPaf+/P4iJ1cJtvtowN+2r+iW6adxRKjZoRI3eyw5JKWunurAkcOmRmzkqcKlCocgujB49mty5cxuPDxw4QPXq1Slbtixz5szR5bUcweXw9jAKG8CC3Q/563hE+jY4Hcg24ta/f39nN0GhUCgyhPLly3Po0CF69+6Np6enMf3s2bO8/vrrVoYm5gKXw9uDFrUK684v2hvOgydx6dvoNMblxc3X15dHjx7h7a0CeSsUiuxDqVKlmDdvHkePHqVdu3a6c7179+bSpUu6NHOB+6xfHXy83I3HUTFxrDntlaWMTVxa3PLkycPdu3fJmTOns5uiUCgUTqF8+fKsX7+e//77z/iQf+HCBRo3bszJkyd1eRMELqefF+9116/Prd97hT3HQqnYoFGWEDmXFreSJUuSI0cOZzdDoVAonE6lSpVYvny5cU/c9evXadGihdV+4ASBe7FVKRpW0QdGffe7ndx5EAmQbJHLaEF0aXFTKBQKhYlOnTqxbt06/Pz8ALh16xZDhgyxyle911KEEIzuX0eXHhMbzyfT9+m2FiQlWs4a6SlxUygUimxEy5YtWb58ufF4+fLlREdHW+Wr3msp+QJy8O27emHaf+I2O47c1KXZEjBnT18qcVMoFIpsRocOHShWrBgA0dHRnDhxwma+6r2W0qJWYSqWyKNL/3nNSZv5EwQtM6zJKXFTKBSKbEjt2qZ91Js2bbKbr3qvpRTJ569LO3U5jLj4eDtXZA6UuCkUCkU2pEmTJsb3o0eP5o8//rCbt3LjF3XH0THxXL8TwYPHUdy6/0S36TuzoMRNoVAosiH9+/enVKlSADx58oQuXbowbdo0m3mLFClilTbk+120eHsV7f/3B+3eXcOm/VfTtb3JRYmbQqFQZEP8/Pz4888/CQkJASA+Pp5BgwYxbNgw4i2mHG2J2/nrJmf0YY+j+HjaPi6HPk7XNicHJW4KhUKRTSlXrhx79+7Vrb9NnDiRnj178vTpU2Na/fr1k3ScHBsXz5aD19KtrclFiZtCoVBkY/Lnz8/WrVvp1KmTMW3p0qW0adOGsLAwQIsZZx5Kxx5XboWnWzuTixI3hUKhyOb4+fmxcuVKBg0aZEzbuXMnPXv2NE5RvvbaazavNfdBeScsMtF6oqIzzvmyEjeFQqFQ4O7uzpQpU/jqq6+MaevXr2fSpEkAPPvss7r8tWrVYtSoUUz9oKkx7c6DpyTGvYeJn09LPDKsJoVCoVBkaoQQDB06lNu3bxtF7vPPP+fNN98kIsIU0y0wMJCDBw8CcOPGDRinhci5+yDxkVtkdGw6tdwaNXJTKBQKhY6xY8dSsmRJAB48eMCvv/6qiyBQvnx54/vg4GCjscn9R1EEVmplt9w8OTMu9JgSN4VCoVDo8PLyYsCAAcbjGTNmcO7cOeNxuXLljO89PDwoXry48XjUxCXkr9aWwrU6WJWb298rnVpsjRI3hUKhUFjRp08fPDy0latdu3bpxM08KgCgE8K5S//mhTe+4uGjJ1YC55bEdoK0RImbQqFQKKzInz8/zz33nPF45cqVxvd3797V5R06dCgvvPCC8XjPwdPU7ziMr6euYvOBa0b3XElZU6YlStwUCoVCYRPzEdmlS5eM7y3FzdPTk2XLljFmzBhj2r2wcCb++DsfTN7NO19vJyY2nqPn76d7mxNQ4qZQKBQKm7Rq1YoSJUpYpd+7d88q7cCBA3ajC+w/cZuH4VHMthMqJz1Q4qZQKBQKm7i5uelGbwmYj9wiIiJ47733aNCgAdu3b7dZzmsdy7H9yE1OXgpLt7ZaosRNoVAoFHZ5++23KVy4sC4tLCyMuLg4Nm/eTOXKlfn+++91RialS5eme/fuLFiwgLCwMJ5pVJyvFvyToe1Wm7gVCoVCYZecOXOyaNEimjVrZkzz8vJiwYIF9O3bVydqbdu2Zfr06bqpzAcPHvDxnAs8zUDXW6BGbgqFQqFIgqZNm/Lll18aj7t160a/fv2MwpYnTx7mzZvH+vXrdcIWHx9Pr169dNsIMgo1clMoFApFknzwwQcEBgYSERHBoUOHiI3VXGlVrVqVDRs2UKBAAatrxo4dm2iE7/REWG7GcyVq164tE/yfKRQKhSJtKFKkCNevXwdg9+7dNGjQwCrPsWPHqFatmtWGb+CQlLK21QVpjJqWVCgUCkWyMN8KMGXKFMLDreO4jR071ihsjRs3JleuXBnWPlDiplAoFIpk0qNHD+P7RYsWUbt2bY4cOWJMO3HiBMuXLzceDxs2jEePHmVkE5W4KRQKhSJ5TJ8+nV69ehmPT58+Tb169fjxxx+RUupGbc8++6xDUbzTGrXmplAoFIoUMX/+fAYNGqSL9da1a1dWrFhhPN63bx9hYWG0b98+IUmtuSkUCoUi89K7d28OHTpEtWrVjGnmwta+fXsqVqxIp06dMrxtStwUCoVCkWLKlSvHrl27qFSpki49T548DB482EmtUuKmUCgUilTi5+fHpk2b6Nu3Lw0aNOC5554jJiaGjh070rNnT4KDgzO8TWoTt0KhUChSTcGCBZk9ezYAnTp1Mm4PWLNmjTHoaUaS5MhNCNFNCPGbEOKyECJSCHFaCDFBCJHTIl8eIcRPQoi7QogIIcRmIUQVG+U1F0KcEkI8EkLMEEJ4mZ0LEUJIw6uljWt3CiG2prCvCoVCocgAEjZ4J5DgzSQjcWRacigQB3wMtAemAW8Bm4QQbgBCCAGsNpz/P+AFwBP4WwhRJKEgIYQfsAyYBTwP1ADetVPvuBT0R6FQKBROxjwqt7NwRNw6SSlfklIulFJuk1J+DwwG6gHNDXk6A42BXlLKxVLK9YY0N+BDs7IqAFellN9IKf8CxgBNbdS5EagvhMh4ExuFQqFQpIrhw4eTP39+q/S8efNmWBuSFDcp5R0byQcMfxOC/HQGbkgp/za77iGwBuhidt0VoLRhajIIeBU4Y6P8X4HDwFjDqFChUCgUWQR3d3f69+9vle7l5WUjd/qQUmvJhMA+CTHDKwH/2ch3HCgmhPAHkFLeBj4BNgF3gZLAeBvXSUO+qsDLKWyjQqFQKJzEhx9+aDV6u3HjRobVn2wTFiFEYeBzYLOUMsH9RyBwyUb2+4a/eYBwACnlZCHEAiAIuCCljLdVj5RynRBiJ/C5EOJXKaVDK5JCiAFAQlz0+0KIi45c5wLkRXtgyC6o/ro22am/2amvAD4ZUUmyxM0wAlsFxAJ9zU+hjbasLrFVjpQyDAhzoMqPge1AH+AnR9oopZwJzDS092BGuHnJDGSnvoLqr6uTnfqbnfoKWn8zoh6HpyWFED5oFpElgXZSymtmp++jjd4syWP464iQWSGl3AGsB0YKIbxTUoZCoVAosh8OiZsQwhP4DagLdJRSHrPIchxt3c2SisAVKaV1sB/HGQEUAd5MRRkKhUKhyEY4sonbDVgItAK6SCn32si2GigshGhmdl0uoJPhXIqRUh5GE9aPAb9kXj4zNXVnMbJTX0H119XJTv3NTn2FDOpvkiFvhBDT0EZN44A/LE5fk1JeMwjgTqAo8AHaNORHaNaO1aSUVx1qjBAhwEWgv5TyJ7P08mjWmO7ANillc0fKUygUCkX2xJFpyQ6GvyOAPRavfgAGi8dn0Uz8pwIr0byatHBU2BJDSnkK+CW15SgUCoUie+DSwUoVCoVCkT3JtCFvhBCNhBAbhRC3DU6WDwshXjc7P9fMybLl65RFWY46a7b1qu7svhryVBJCrBBC3DA4pj4uhHhfCOFhkS9T9zUZ/a0uhFgvhAg35FkthChto6ys0N8WBqffkUKI+0KIX4QQVr6JRNo7H8/wPjvSVyFETiHE10KIrYY+SCFEczvlZdq+GtrgSH9bCSEWCCHOG/KdF0JME0JYxYFxkf7WMvx2rwshngohQoUQa4UQDTK0v1LKTPdCW6uLBP5Gc9/VBpiBtpfuLUOeUkB9i1d3Q56JZmX5AbeB99GMYvYDH5idDzFcM95GefUB30zQ10LAHeAI8BLQEm0NNB74Mqv0NRn9LQM8Rpv67oLmiPsocAMIzmL9bQLEoK1XdwR6AZfR1pC9zfIJYAdwDeiB5oR8G9rm3iJZoc/J6GsI2vahzWjGYhJobqO8TNvXZPZ3ObAObW9wM7TlnOvABcDfBfvbCpiCdj9uBrwI7AaigboZ1d90/WGn4kMcb/gg/C3S9wJ7ErnuU8OHUcksrTZwyOy4E7DGxgfYL7P2Fc3jigTKWuRZAtzMKn1NRn9/Ah4AAWbniwBP0T+4ZIX+bgbOAR5maXUM7RpkltbFkNbCLC03mgj8kBX6nIy+CrP3rbEvbpm2r8nsbz4b1zY15Hvd1fpr59qcQBQwOaP6m1mnJb3QnhAiLdIfkPhUam+0D+u4WZqjzpqdhSN9TRiqP0okD2T+voJj/a2PJnQPEk5KzWnAf2ihkhLICv2tD2ySZu7jpJQHgHvo+5LWzsedgUN9lYY7lwNk5r6C4/11xPk8uEh/7RCBJm4xZmnp2t/MKm5zDX9/EEIUEkIECCH6ow1dv7N1gRCiEVAamGeeLh131uwmhPCweLmnTXcSZa7hb2J9XY7W9ilCiBJCiFxCiOfRpgW+SSgoC/QVHOtvHNrozpIooJTQvOVklf4m1pfKZsdp7XzcGX12tK8Okcn7Cqnrb8Ke4ATn8y7XXyGEmxDCUwhRDG2aEszcKKZ7f50xvHVwCFwHbf1BGl7RwBuJ5J9hyJPXzvk8aOLnZpEeYlaH5Ss8s/TV0PbjZnnigZFZra+O9BctoO01wNMsLSfa6E4CBbNKf9HWEfZZpBU3/P+izNLOAEtsXN/P0N6imb3PjvbV4rzdacnM3NeU9tfsu3wKOIHZFJ+r9RctdFlC+24BjTPy/5vsqAAZgRCiDNpC83G0DeSRaFMz04UQT6WUCy3ye6MZWvwhpbTpXVsm7ax5LJpTaHPiUtYDx3Gkr0KIfMAKtKF9N7RpgJbAJ0KIKCnll+ZlZta+gsP/20loi9DThRAj0Rx8fwP4G4rRRZLIzP1F68sCIcRY4Ac0H6wz0fpg3o+0dj7ujD472tdkkUn7Cinor9CsmxejTUc2kjainbhQfz8EvkRz7vE28IcQorU0RZMB0rG/6a32KXxCWA6cx+zJ3ZC+EG34aqnwL6HdGLqkoK4QnLtIm2Rfga/Q1tvyWOQZRyKj1czW1+T8b4FBwENMT2qbgZ/RpkA8HazL6f01tGMMmognjLgXo7mlu2CWZx+wwca1Hxqu83ewLmd/n5Psq0X+JEdumbWvye2v4be8EM0wqpWr99fiOi+02Yn1GdXfzLrmVgX4V0oZY5G+Hy0OnOX+kNfQboxrM6BtaY0jfa0CnJPaE45lHk+0IX1WwaH/rZRyquF9ZaCYlLI12paIfTauzdRIKT9Fi9lVFW1KtQfadoedZtnS0/l4huFgX12GZPZ3Olrw5e5Syr8yrpVpR0r/v1LKaLTtPBl2r8qs4hYKVDff0GegHtpTT0IQVAwbCNsCi7LaTc+AI30NRbMqymMjD2h7ZrIKDv9vpZRRUsrjUsqrQtvM3BqYlnFNTTuklBFSymNSyltCiPZAebSbXQLp5nw8o3Ggry6FI/0VQnyDtn7aV0r5uxOamWak5P8rhPBFM/0/nxFthBRE4s4gpqBNX60RQkxFGwZ3Rtvc+p3hKSCBV9D6Mc+qlORRUghR30b6GSnlfRvpaUWSfRVCTEfr50YhxFdoa27NgaHASpl8/53O6is41t8iwFtoGz+jgFpoUSFWSCkXp6BOp/VXCFEDzT/rYUNSYzTn4hOllLvNsq5G27S+QAhh7nxcABNTUHWG9zkZfUUI0QFtE2+CB5ZmQoi8QISUcl0yq3bK/9fR/gohhgFDgNnAWYu23pFSJveGn9n7OwPtIfUg2oxaceAdoCCahXdySVl/nTV368B8awdgK5pnjsdo3jkGAe4W+f4FjqWinhDsW+RIoFtm6CvaHpO1wE00w5LjaGa0ObJSXx3pL5AfbY3tLpq4nUDzYmBlWZbZ+4s21bgTzdIzEu3G0NdO3kC0G+B94AnwF1pUjSzR52T29ZKd9l3KCn1NTn8N33V7bZzrgv19He3B9B7abMx5YBFQJSO/y8pxskKhUChcjsy65qZQKBQKRYpR4qZQKBQKl0OJm0KhUChcDiVuCoVCoXA5lLgpFAqFwuVQ4qZQKBQKl0OJm0KhUChcDiVuCoVCoXA5lLgpFAqFwuVQ4qZQKBQKl0OJm0KhUChcDiVuCoVCoXA5lLgpFAqFwuVQ4qZQKBQKl0OJm0KhUChcDiVuCoVCoXA5lLgpFAqFwuVQ4qZQKBQKl0OJm0KhUChcDiVuCoVCoXA5lLgpFAqFwuVQ4qZQKBQKl0OJm0KhUChcDiVuCoVCoXA5lLgpFAqFwuVQ4qZQKBQKl0OJm0KhUChcDiVuCoVCoXA5lLgpFAqFwuVQ4qZQKBQKl0OJm0KhUChcDiVuCoVCoXA5lLgpFAqFwuVQ4qZQKBQKl0OJm0KhUChcDiVuCoVCoXA5lLgpFAqFwuVQ4qZQKBQKl0OJm0KhUChcDiVuCoVCoXA5lLgpFAqFwuVQ4qZQKBQKl0OJm0KhUChcDiVuCoVCoXA5lLgpFAqFwuVQ4qZQKBQKl0OJm0KhUChcDiVuCoVCoXA5lLgpFAqFwuVQ4qZQKBQKl0OJm0KhUChcDiVuCoVCoXA5lLgpFAqFwuVQ4qZQKBQKl0OJm0KhUChcDg9nNyCrI4QQQHMg2MlNUSgUipTyj5TyjLMbkZYocUsFLct6yHz+Al8vKBLgnEFw0WA/p9QLkL94iFPqzVW4nFPq9cpVwin1AoSLHE6p91L4I6fUC3DqVqhT6r1w/YZT6gV4HOqEuiVw7QaiYF4IvVdASnkr4xuR9ihxSwFCiJJFAsT52HioXtid3DkEhZwkbvUq5HRKvQAVG5R3Sr2Fa3VwSr1+hZo4pV6AWyKPU+rddcd5N3px/D+n1Hvn8D9OqRfg8dEjzqk4jy/cewiPn4SK4gXhSqi/lDLCOY1JG5S4JQMhRFDpfG53A30FJYPcCM6pliwVCoULIATkDYDAXBB6D3x9wkWZYnDuqoeUMs7ZzUsJStwcQAjhU6WgW2RuHwjMIahWyA1tqU2hUChcCDc3KJQPggPh2i3wzxErKpWCExfcpJTS2c1LDkrcEkEI4VanmHtcbh9AQMuyHri7KVFTKBQujoc7hBSCqGi4fBMC/OOFELWklIed3TRHUfNqdmha2kMG+oq4B5GSpqU9KBfsroRNoVBkL7y9oGxxTegCch4SwYFSCFHc2c1yBDVys0AIUblALnHMww3qFnfH31sJmkKhyOb4+0LlUhD2CCKjLoki+eH67UApZZizm2YPJW4GhBCFQwLFtXz+gor53Qj0U4NahUKh0JEnFwTkhNv3wdfnvihZGC7e8JFSRjm7aZYocTNQMJe4FhkDjUuq6UeFQqGwixCQPwhy+cPRs1C66FMg09001fDEwM1H0jefv2DLmViuhMWTxQyDFAqFImOIjYNLN+H0JShTFM5dzZQ6okZuBqSUkWjetPLej5B3zt2Jp3JBtZdNoVAoAIiXEHpX2wdXKB+ER3rK4xdind0seyhxs0BKeRdN5Eqfvxt/9uydeKoUcieXT6YbdSsUCkX6I6XmveTqLQjKDU+e5pRnr4Q7u1lJocTNDlLKc4BoWdZDHr4aR04fqFjAnRyeSuQUCkU24VEEXLoBvj4QEVlIhj+56ewmOYoStyTYciZWCCFEmXzu8bsuxFIwlxvlgt3wcFcip1AoXJTIKE3UpIRHEZXkw/ATzm5SclHi5gAGtzNCCOEZEkj032djKZXXnZAggZtyw6VQKFyFmFi4EgrhkfA4ooWUcquzm5RSlLglAyllDJrI5XoSIx/+fSaeCgXcKJhLCZxCocjCxMXDjTtwNwyK5Iebd92llPHOblZqEMrkPeUIIYqEBIqr4VGQ30kCFxzg45R6AfLkL+CUev3yFnVKvR5+zukvQCTeTqk39Knzop5cue8c5xeh9+46pV6AJ/fuOafiO/c0Z8mXMueG7JSgxC0NEEKEAP2AlU6o/nkn1evMurNbvc6sW/U5e9TdWEo5yQn1phtK3NIIIcRBKWXt7FKvM+vObvU6s27V5+xRtzP7nF6oHcoKhUKhcDmUuCkUCoXC5VDilnbMzGb1OrPu7FavM+tWfc4edTuzz+mCWnNTKBQKhcuhRm4KhUKhcDmUuCkUCoXC5VDilkqEEEOEEGuEEDeFEFIIMdpOvq2G85av/6VXvUKIgkKICUKIg0KIh0KIO0KIv4QQTVNSZxLtySuEmG2oI1IIsU8I0S6t67FTd2FD3aFCiCghxEUhxIR0rC+nEGKZEOKcECJCCPHA0N9X07ieokKIXw3/u0dCiBVCiGJpWYeNOtsJIbaYfZbXDH2tmJ71WrShoxBiuxAi3NDvg0KIlulcZwshxE7Dd/e+EOIXIUT+NK6jiBBishBijxDiieF3G2KRp5UQYoEQ4ryhLeeFENOEEMEZUHeInXuUFEIEpKZ+Z6DELfX0B4KB3x3IexRoYPFako711gJeBlYB3YA+wFNgqxDi2RTWa4UQwhvYArQHPgS6AleBP4QQzdOqHjt1hwD7gbLAYKAtMBpIzzhTXobyJwCdgZ7AKeAXIcR7aVGBEMIX7TMtD7wG9ALKAH8LIfzSog47BAKHgHfQPsuPgErAXiFE8XSsFwAhxEC07+shtA3NLwLLAd90rLMJsBF4ALwAvAs0Bf4yfLfTitLAS0AYsMNOnjeBIGAs2u8p4Tu2Vwjhn851JzAB6/vU41TU7RyklOqVihfgZvjrAUhgtJ18W4GdGVkvEAB4WKR5AKeB7WnYllcNbWhulibQxHx/On/+69HEzTMTfBf2AMfSqKx3gTigtFlaCTRRHZLB/Spn+P++n871hACRwP8yuH+bgXPmvxWgjqHPg9KwHjez9/0M5YdY5Mln47qmhryvp3PdIYb0fhn5+afXS43cUol0knNRR+qVUj6QUsZapMUCR4DCadic+mg3pW1m9Ui0p+E6Qoi0rMuIEKIU0A6YLDWn1s7mHpBW7egM7JVaXEEApJQXgV1AlzSqw1ESHB6m92f8OhAPTE/neiypD2wy/61IKQ+g9fv5tKrEwd/sHRvJBwx/U/w7ctZ9ypkocctYahjWT2KEEEeFEG9kdAOEEF5o0wwn07DYOCDGIGjmJDhgrZyGdZnTyPA3UgixybBGFCaEmC+ECEqnOo0IDQ8hRJAQYgCa0H6fRsVXAv6zkX4cSPf1LyGEuxDCSwhRBpgBhJLyKXRHaYw2vdvdsNYUa1jXfDud640Dom2kR5F+393k0MzwNy1/s4kxwfDZPxRCrBZCVMmgetMUFfIm49gOLATOoE0X9gZ+EkIUlFKOzcB2jAaKAK+kYZmngVxCiApSSvMfYAPD38A0rMucQoa/s4Ff0NYKShv+VhRC1E3nJ9a3gcmG9zHAu1LK+WlUdiDa+ogl94E8aVRHYuxDW7MFbcqupZTydjrXWcjw+gr4GDiPtuY2RQjhIdPPse9ptNGbEcP6YkHSf7SaKEKInGgPTCdxbF0/NUShPchsBO6grfd+DOw2/JYySlzTBmfPi2amF9Aabc45qddWG9cmuuZmp76VaNN5z2ZEvWiGD/HAZ2n5OaCJ9W20ta8qQF60H0WsId/L6fH5G+qQwGqLcl42pHdIz/87kA+ojbbwPxVtBDAwjb6L0cAEG+njgNgM+C1UAOoBPdCMO65hsUaTDnWeMXzOXS3S16GNHEU61fuKod6xaEZa5dEeRmOByHSq0+a6l0UeD+APNGOOqhlZt1nedVON/wAAB4FJREFUosAjYEF6f+fS+qVGbnp2o/2ok+JJGtW3GHgOCE/veoUQnYC5wM9SylFJZE/W5yClfCCEeAGYh2ZEAtpT92hgDHDTwWYm9/NPWAvaZHF+o+FvDbQbY1rXCxjXRxLWSNYbLBy/FkLMlqlfAwzD9og3D7ZHdGmKND2l7xNCrAMuAcPRrPnSi3toFqG2/p/t0UZSN9K6UinlQiFEeWAoMALtxr8UWIuTpiWFEG5ov6fWwDNSyqNJXJIuSCmvCiF2ohnYZCmUuJkhpXyCNuefUSREOH0qpUy3eoUQrdDMqVcCA5PKn5LPQUq5w2DgURpwR3sK/wBtZHrYwTKSW+/xhEvtnHdoSjIN/+8H0cz286ONdFLDcbR1N0sqAidSWXayMDy8nEP736Ynx7GYHjSQ8DtJtylmKeWnQogvgJLAbSnlLSHESWBnetWZBNPRZiC6SSn/clIbEhDY/41lWpRBiXPpiXbzP5ZeFQghGqDtG/oLeFWm4xqU1DhrEGpftL14v0gpw9Opyr1o01XtLdITjg+QsTRDG4WnxdrUaqC+EKJkQoJhT18jw7kMw7CZuTzaaDw9WWn4a7n5vx1wTUoZmp6VSykjpJTHDMLWHq3PGW25iRDiG7Spw75Syt8zun6LthRD+87tc2Y7UoIauaUSIURttP0hCQ8KFYUQ3Qzv10opnxg2iQ4HVqBN7+RGe8LvDAyXUkakU73lgT+Bu2iL9LWEEMYypJR7k1tvIu2ZgLY2cxftCf8DtMX4j9KqDkuklLFCiOHAXCHEdLTPtzTautRWtE3QaY5ho3F9tP1R19A23b6EtlF+uJTSluVdcpmFtpF6lRDiE7Qn5zFom+NnpEH5NhFCrEQbaR9FW2spC7yHtv70TXrVa2At8DcwQwiRF7iA9pm2BfqmV6VCiBpAB0wzDI3Rvr8TpZS707iuhN9ogrFOByHEHeCOlHKbEGIYMATNSOqsEMJ8JHtHSpniBwwH6v4G7X6yB226vRza7zceGJ/Sep2Gsxf9svoLbR3LngFCiCFPabS1n+toFknhaOs8PdK53j6J5JFp/DnMRrvRRxv+TgYCM+h/0AvNbD4KbX1vMuCfjvU1RLsR3zTUeR1N6J5J43qKAb+hicxjNGu5kHT+LIehPaQ8QFtjPI0mpular1n9uYAfgVuG79JRoGc611kJbfrxAaZp9L7pVFdSRlJbE8kzN53rfh1ttiMM7WEmFFgElMuI/31av1TIG4VCoVC4HGrNTaFQKBQuhxI3hUKhULgcStwUCoVC4XIocVMoFAqFy6HETaFQKBQuhxI3hUKhULgcStwUiiyCEOKUEGJEIudDhBBSCNEnA5ulUGRKlLgpFFkAg7eZcqR/2BOFwiVQ4qZQZA2eB85JKY8nmVOhUChxUygcQQgx2jDlV14IsUEIESGEuCKE6Gs438swbRguhPjbECEh4dpLQogFhjynhRCRQogdQogyQgg/IcQMIcQ9IcQtIcQ3QghbPl+fw2zUJoTwFUJMNVwXLoRYjRaE1rLddYQQvwohrhnqPS2EGC+EyGGWZ4qhbk+La/2FEI8NfkMViiyFEjeFInksR3NG/RyaD8bZQojxwFtozrH7ok0fLrK4rikwCM1342tAKTS/kQvR/EZ2B2aiOc0dYH6hEKIgWjyt382SZ6B5jv8W6IrmA9KyTtD8Ux5Bi8PWHpiE5kNwjlmeqWhBOp+3uPYVwA/NibNCkbVwtnNL9VKvrPBCC7wqgd5maXnQHMzeA3KZpQ825C1uOL4E3Ady28jzk0U9h4G/LdLeQnMk7GY4LocW9Xu4Rb5phjL72OmDQIsE8iqap/cgs3Nbgb9stGW9sz979VKvlLzUyE2hSB7GyN5SyjC02G17pZSPzPIkBD4tapa2R0r50EaeDRbln7K4DrRR4mppisVXD23WZZlFviWWjRVC5BJCfCmEOI8WwSAG+AVN6MqYZZ0KtBBClDFcVwctknm6hddRKNITJW4KRfIIsziOtpMG4JPEdfbSjdcJIXIBzdFPSRY0/L1lca3lMWjTj28CPwBt0KY337bRvpVoIU4SIrW/CdwA1tgoU6HI9ChxUygyN8+gCd5ms7Sbhr/5LfLqjoUQPkAX4Csp5SQp5TYp5UG0mGU6pJQxwE9AHyFEMNoa4M9Syti06YZCkbEocVMoMjfPoa17RZml7UNbM3vJIm93i2NvwB1tKtKcPnbqmoEWJX654VplSKLIstgyOVYoFJkAIYQXmoXjIPN0KeVpIcQi4HMhhBta9OQ2QEeLfA+FEHuB94UQN4G7aJaShW3VJ6W8LoRYg2Y1uUZKeTWt+6RQZBRq5KZQZF5aATnQth5YMhD4GRiKtl5WHuhpI18PtC0LPwJz0dbV3k2kzuWGv8qQRJGlEVJKZ7dBoVDYQAgxHSglpWyTgXUuBBoBJc2sMxWKLIeallQoMilSyjczqi4hRH2gOvAyMEQJmyKro0ZuCoUCIYQEwtH2zg1UVpKKrI4SN4VCoVC4HMqgRKFQKBQuhxI3hUKhULgcStwUCoVC4XIocVMoFAqFy6HETaFQKBQux/8DblkmQLaIoUEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 864x684 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting annual_pr_mean\n",
    "\n",
    "#plotting with cartopy\n",
    "import cartopy.feature as cfeature\n",
    "plt.rcParams['font.size'] = '16'\n",
    "\n",
    "\n",
    "fig = plt.figure(figsize=(12,9.5))\n",
    "\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "ax.set_extent([88,93,20,27])\n",
    "\n",
    "\n",
    "m1 = ax.contourf(bias['longitude'], bias['latitude'],bias[:,:],\n",
    "                  levels=np.arange(-15,15+3,3), transform = ccrs.PlateCarree(),cmap='BrBG',extend='both')\n",
    "\n",
    " \n",
    "# Define the xticks for longitude\n",
    "ax.set_xticks(np.arange(87,94,1), crs=ccrs.PlateCarree())\n",
    "lon_formatter = cticker.LongitudeFormatter()\n",
    "ax.xaxis.set_major_formatter(lon_formatter)\n",
    "\n",
    "# Define the yticks for latitude\n",
    "ax.set_yticks(np.arange(20,28,1), crs=ccrs.PlateCarree())\n",
    "lat_formatter = cticker.LatitudeFormatter()\n",
    "ax.yaxis.set_major_formatter(lat_formatter)\n",
    "\n",
    "\n",
    "plt.colorbar(m1,ticks=np.arange(-15,15+3,3),  orientation = 'horizontal',shrink=0.5, fraction = 0.04 , label = 'mm/day')\n",
    "ax.coastlines(linewidth=3)\n",
    "ax.add_feature(cfeature.BORDERS,linewidth=3)\n",
    "\n",
    "\n",
    "\n",
    "plt.title('Seasonal Bias(RegCM NORESM-CHIRPS)')\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/Seasonal Bias remo(noresm-chirps).png\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "9003db92",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x684 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting bias percentage \n",
    "\n",
    "#plotting with cartopy\n",
    "import cartopy.feature as cfeature\n",
    "\n",
    "plt.rcParams['font.size'] = '14'\n",
    "\n",
    "\n",
    "fig = plt.figure(figsize=(12,9.5))\n",
    "\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "ax.set_extent([88,93,20,27])\n",
    "\n",
    "\n",
    "m1 = ax.contourf(bias_percentage['longitude'], bias_percentage['latitude'],bias_percentage[:,:],\n",
    "                levels=np.arange(-150,150+25,25),  transform = ccrs.PlateCarree(),cmap='BrBG',extend='both')\n",
    "\n",
    " \n",
    "# Define the xticks for longitude\n",
    "ax.set_xticks(np.arange(87,94,1), crs=ccrs.PlateCarree())\n",
    "lon_formatter = cticker.LongitudeFormatter()\n",
    "ax.xaxis.set_major_formatter(lon_formatter)\n",
    "\n",
    "# Define the yticks for latitude\n",
    "ax.set_yticks(np.arange(20,28,1), crs=ccrs.PlateCarree())\n",
    "lat_formatter = cticker.LatitudeFormatter()\n",
    "ax.yaxis.set_major_formatter(lat_formatter)\n",
    "\n",
    "\n",
    "plt.colorbar(m1,ticks=np.arange(-150,150+25,25),orientation = 'horizontal',shrink=0.7, fraction = 0.05 , label = 'percentage')\n",
    "ax.coastlines(linewidth=3)\n",
    "ax.add_feature(cfeature.BORDERS,linewidth=3)\n",
    "\n",
    "\n",
    "\n",
    "plt.title('Seasonal Bias-Percentage(RegCM NORESM-CHIRPS)',fontsize=17)\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/Seasonal Bias_percentage remo(noresm-chirps).png\")\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "220503a1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Colormap CET_D1A is not recognized. Possible values are: Accent, Accent_r, Blues, Blues_r, \\nBrBG, BrBG_r, BuGn, BuGn_r, BuPu, BuPu_r, CMRmap, CMRmap_r, Dark2, Dark2_r, GnBu, GnBu_r, Greens,\\nGreens_r, Greys, Greys_r, OrRd, OrRd_r, Oranges, Oranges_r, PRGn, PRGn_r, Paired, Paired_r, Pastel1, Pastel1_r, Pastel2, \\nPastel2_r, PiYG, PiYG_r, PuBu, PuBuGn, PuBuGn_r, PuBu_r, PuOr, PuOr_r, PuRd, PuRd_r, Purples, Purples_r, RdBu, RdBu_r, RdGy,\\nRdGy_r, RdPu, RdPu_r, RdYlBu, RdYlBu_r, RdYlGn, RdYlGn_r, Reds, Reds_r, Set1, Set1_r, Set2, Set2_r, Set3, Set3_r, Spectral, \\nSpectral_r, Wistia, Wistia_r, YlGn, YlGnBu, YlGnBu_r, YlGn_r, YlOrBr, YlOrBr_r, YlOrRd, YlOrRd_r, afmhot, afmhot_r, autumn,\\nautumn_r, binary, binary_r, bone, bone_r, brg, brg_r, bwr, bwr_r, cividis, cividis_r, cool, cool_r, coolwarm, coolwarm_r, \\ncopper, copper_r, cubehelix, cubehelix_r, flag, flag_r, gist_earth, gist_earth_r, gist_gray, gist_gray_r, gist_heat,\\ngist_heat_r, gist_ncar, gist_ncar_r, gist_rainbow, gist_rainbow_r, gist_stern, gist_stern_r, gist_yarg, gist_yarg_r,\\ngnuplot, gnuplot2, gnuplot2_r, gnuplot_r, gray, gray_r, hot, hot_r, hsv, hsv_r, inferno, inferno_r, jet, jet_r, magma,\\nmagma_r, nipy_spectral, nipy_spectral_r, ocean, ocean_r, pink, pink_r, plasma, plasma_r, prism, prism_r, rainbow, rainbow_r, \\nseismic, seismic_r, spring, spring_r, summer, summer_r, tab10, tab10_r, tab20, tab20_r, tab20b, tab20b_r, tab20c, tab20c_r, \\nter'"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#cma colors\n",
    "'''Colormap CET_D1A is not recognized. Possible values are: Accent, Accent_r, Blues, Blues_r, \n",
    "BrBG, BrBG_r, BuGn, BuGn_r, BuPu, BuPu_r, CMRmap, CMRmap_r, Dark2, Dark2_r, GnBu, GnBu_r, Greens,\n",
    "Greens_r, Greys, Greys_r, OrRd, OrRd_r, Oranges, Oranges_r, PRGn, PRGn_r, Paired, Paired_r, Pastel1, Pastel1_r, Pastel2, \n",
    "Pastel2_r, PiYG, PiYG_r, PuBu, PuBuGn, PuBuGn_r, PuBu_r, PuOr, PuOr_r, PuRd, PuRd_r, Purples, Purples_r, RdBu, RdBu_r, RdGy,\n",
    "RdGy_r, RdPu, RdPu_r, RdYlBu, RdYlBu_r, RdYlGn, RdYlGn_r, Reds, Reds_r, Set1, Set1_r, Set2, Set2_r, Set3, Set3_r, Spectral, \n",
    "Spectral_r, Wistia, Wistia_r, YlGn, YlGnBu, YlGnBu_r, YlGn_r, YlOrBr, YlOrBr_r, YlOrRd, YlOrRd_r, afmhot, afmhot_r, autumn,\n",
    "autumn_r, binary, binary_r, bone, bone_r, brg, brg_r, bwr, bwr_r, cividis, cividis_r, cool, cool_r, coolwarm, coolwarm_r, \n",
    "copper, copper_r, cubehelix, cubehelix_r, flag, flag_r, gist_earth, gist_earth_r, gist_gray, gist_gray_r, gist_heat,\n",
    "gist_heat_r, gist_ncar, gist_ncar_r, gist_rainbow, gist_rainbow_r, gist_stern, gist_stern_r, gist_yarg, gist_yarg_r,\n",
    "gnuplot, gnuplot2, gnuplot2_r, gnuplot_r, gray, gray_r, hot, hot_r, hsv, hsv_r, inferno, inferno_r, jet, jet_r, magma,\n",
    "magma_r, nipy_spectral, nipy_spectral_r, ocean, ocean_r, pink, pink_r, plasma, plasma_r, prism, prism_r, rainbow, rainbow_r, \n",
    "seismic, seismic_r, spring, spring_r, summer, summer_r, tab10, tab10_r, tab20, tab20_r, tab20b, tab20b_r, tab20c, tab20c_r, \n",
    "ter'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "87f4ea28",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "20e38f40",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "21be7cc5",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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