Bd_pr_chirps_yearly.ipynb

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   "source": [
    "#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",
   "execution_count": 15,
   "id": "265f6fcb",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (time: 12)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 2022-01-01 2022-02-01 ... 2021-12-01\n",
       "    lon      float64 0.0\n",
       "    lat      float64 0.0\n",
       "Data variables:\n",
       "    precip   (time) float32 10.33 17.45 41.05 106.9 ... 301.9 152.2 20.93 7.059\n",
       "Attributes: (12/17)\n",
       "    CDI:               Climate Data Interface version 1.9.9rc1 (https://mpime...\n",
       "    Conventions:       CF-1.6\n",
       "    history:           Mon Jul 11 11:59:05 2022: cdo -L fldmean -ymonavg -rem...\n",
       "    institution:       Climate Hazards Group.  University of California at Sa...\n",
       "    title:             CHIRPS Version 2.0\n",
       "    version:           Version 2.0\n",
       "    ...                ...\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\n",
       "    CDO:               Climate Data Operators version 1.9.9rc1 (https://mpime...</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-904692f1-7bbf-4475-b5cd-02cd5fcaed7b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-904692f1-7bbf-4475-b5cd-02cd5fcaed7b' 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>: 12</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-67aac841-0db9-46be-9cb7-3d3fe4f5196c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-67aac841-0db9-46be-9cb7-3d3fe4f5196c' 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'>2022-01-01 ... 2021-12-01</div><input id='attrs-d2386090-00c9-41d2-b392-92424ee9dd50' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d2386090-00c9-41d2-b392-92424ee9dd50' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-427ae423-dadb-4dcb-a37e-7bdb4d80b4b5' class='xr-var-data-in' type='checkbox'><label for='data-427ae423-dadb-4dcb-a37e-7bdb4d80b4b5' 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;2022-01-01T00:00:00.000000000&#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",
       "       &#x27;2021-05-01T00:00:00.000000000&#x27;, &#x27;2021-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-07-01T00:00:00.000000000&#x27;, &#x27;2021-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-09-01T00:00:00.000000000&#x27;, &#x27;2021-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-11-01T00:00:00.000000000&#x27;, &#x27;2021-12-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-da4aad9c-64c2-4fce-ad80-cdee930ad267' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-da4aad9c-64c2-4fce-ad80-cdee930ad267' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba65b1cb-aea2-4847-84b2-7aab67dfab3c' class='xr-var-data-in' type='checkbox'><label for='data-ba65b1cb-aea2-4847-84b2-7aab67dfab3c' 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(0.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-af0e5143-ed66-4599-a38a-e999036bd5f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-af0e5143-ed66-4599-a38a-e999036bd5f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-891e9d4a-beaa-4bef-b530-e823681e1258' class='xr-var-data-in' type='checkbox'><label for='data-891e9d4a-beaa-4bef-b530-e823681e1258' 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(0.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0509317d-ba8e-4b58-a370-6a4eb349deef' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0509317d-ba8e-4b58-a370-6a4eb349deef' 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)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3e1c3e86-5737-459d-9f51-6c5b4eeedfbe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3e1c3e86-5737-459d-9f51-6c5b4eeedfbe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a55659cb-ce16-49f1-9690-375614c4e336' class='xr-var-data-in' type='checkbox'><label for='data-a55659cb-ce16-49f1-9690-375614c4e336' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>convective precipitation rate</dd><dt><span>long_name :</span></dt><dd>Climate Hazards group InfraRed Precipitation with Stations</dd><dt><span>units :</span></dt><dd>mm/month</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([ 10.330193,  17.454016,  41.05213 , 106.907524, 229.25429 , 377.52768 ,\n",
       "       431.01114 , 368.0943  , 301.93417 , 152.1763  ,  20.928537,   7.058659],\n",
       "      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cd2e4699-289a-464f-882b-1d1af1e2e059' class='xr-section-summary-in' type='checkbox'  ><label for='section-cd2e4699-289a-464f-882b-1d1af1e2e059' class='xr-section-summary' >Attributes: <span>(17)</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-1.6</dd><dt><span>history :</span></dt><dd>Mon Jul 11 11:59:05 2022: cdo -L fldmean -ymonavg -remapnn,grid.des chirps-v2.0.monthly.nc chirps_yearcicle.nc\n",
       "created by Climate Hazards Group</dd><dt><span>institution :</span></dt><dd>Climate Hazards Group.  University of California at Santa Barbara</dd><dt><span>title :</span></dt><dd>CHIRPS Version 2.0</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>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><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: 12)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 2022-01-01 2022-02-01 ... 2021-12-01\n",
       "    lon      float64 0.0\n",
       "    lat      float64 0.0\n",
       "Data variables:\n",
       "    precip   (time) float32 ...\n",
       "Attributes: (12/17)\n",
       "    CDI:               Climate Data Interface version 1.9.9rc1 (https://mpime...\n",
       "    Conventions:       CF-1.6\n",
       "    history:           Mon Jul 11 11:59:05 2022: cdo -L fldmean -ymonavg -rem...\n",
       "    institution:       Climate Hazards Group.  University of California at Sa...\n",
       "    title:             CHIRPS Version 2.0\n",
       "    version:           Version 2.0\n",
       "    ...                ...\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\n",
       "    CDO:               Climate Data Operators version 1.9.9rc1 (https://mpime..."
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = xr.open_dataset('/home/mkibria/Academic/pr_of_thesis/observation/chirps/chirps_yearcicle.nc')\n",
    "\n",
    "\n",
    "data=data.squeeze()\n",
    "\n",
    "\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "24a62ba8",
   "metadata": {},
   "outputs": [],
   "source": [
    "x=data['precip']\n",
    "x=x/30.4167"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "3a8311ac",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "\n",
    "mon=['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov','Dec']\n",
    "#mon=['J', 'F', 'M', 'A', 'M', 'J', 'J', 'A', 'S', 'O', 'N','D']\n",
    "\n",
    "mon\n",
    "\n",
    "plt.title('Seasonal cycle of Bangladesh')\n",
    "plt.xlabel('months')\n",
    "plt.ylabel('precipitation in mm/day')\n",
    "plt.plot(mon,x)\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/month-vs-pr-chirps.png\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c365f7ee",
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   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "50fa7771",
   "metadata": {},
   "outputs": [],
   "source": [
    "#to select the year from 1980 to 2015\n",
    "#data = data.sel(time=slice('1981-01-16T12:00:00.000000000','2015-12-16T00:00:00.000000000'))\n",
    "#data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "31cc8fde",
   "metadata": {},
   "outputs": [
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       "array([[[[12.411855]],\n",
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       "  * variable  (variable) &lt;U6 &#x27;precip&#x27;</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'>variable</span>: 1</li><li><span class='xr-has-index'>time</span>: 4</li><li><span class='xr-has-index'>lat</span>: 1</li><li><span class='xr-has-index'>lon</span>: 1</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-c67c374e-b998-4ae5-870a-c522a9a93724' class='xr-array-in' type='checkbox' checked><label for='section-c67c374e-b998-4ae5-870a-c522a9a93724' 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>12.41 14.17 12.1 9.927</span></div><div class='xr-array-data'><pre>array([[[[12.411855]],\n",
       "\n",
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       "        [[ 9.926592]]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-6aaeb5cb-e2a2-43d7-82f7-084c0f8c7884' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6aaeb5cb-e2a2-43d7-82f7-084c0f8c7884' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>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'>2021-06-01 ... 2021-09-01</div><input id='attrs-2d608a1d-2750-416c-abd6-45a406d0cce3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2d608a1d-2750-416c-abd6-45a406d0cce3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52d72bb9-ad0f-4669-8479-be5f85a774b6' class='xr-var-data-in' type='checkbox'><label for='data-52d72bb9-ad0f-4669-8479-be5f85a774b6' 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;2021-06-01T00:00:00.000000000&#x27;, &#x27;2021-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-08-01T00:00:00.000000000&#x27;, &#x27;2021-09-01T00:00:00.000000000&#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'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-3fcf3300-4ab9-4e03-a9b0-e9b197dae537' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3fcf3300-4ab9-4e03-a9b0-e9b197dae537' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-94209493-0cc1-4671-929a-83bfb4b83e3d' class='xr-var-data-in' type='checkbox'><label for='data-94209493-0cc1-4671-929a-83bfb4b83e3d' 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([0.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-80bad1c0-484d-45f5-b9b8-33d137a660a1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-80bad1c0-484d-45f5-b9b8-33d137a660a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1fcb40d4-c277-4fa9-a0b6-63f4165af9c9' class='xr-var-data-in' type='checkbox'><label for='data-1fcb40d4-c277-4fa9-a0b6-63f4165af9c9' 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([0.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>variable</span></div><div class='xr-var-dims'>(variable)</div><div class='xr-var-dtype'>&lt;U6</div><div class='xr-var-preview xr-preview'>&#x27;precip&#x27;</div><input id='attrs-6ccb7d6a-8f1b-4660-8f3c-5211a17a3eed' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6ccb7d6a-8f1b-4660-8f3c-5211a17a3eed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c7c5497-f88c-4899-acf5-afbd416adcf3' class='xr-var-data-in' type='checkbox'><label for='data-1c7c5497-f88c-4899-acf5-afbd416adcf3' 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;precip&#x27;], dtype=&#x27;&lt;U6&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9eea519c-2919-4a96-9ef9-01b368e4f37c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9eea519c-2919-4a96-9ef9-01b368e4f37c' 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 (variable: 1, time: 4, lat: 1, lon: 1)>\n",
       "array([[[[12.411855]],\n",
       "\n",
       "        [[14.170214]],\n",
       "\n",
       "        [[12.101717]],\n",
       "\n",
       "        [[ 9.926592]]]], dtype=float32)\n",
       "Coordinates:\n",
       "  * time      (time) datetime64[ns] 2021-06-01 2021-07-01 2021-08-01 2021-09-01\n",
       "  * lon       (lon) float64 0.0\n",
       "  * lat       (lat) float64 0.0\n",
       "  * variable  (variable) <U6 'precip'"
      ]
     },
     "execution_count": 5,
     "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": 6,
   "id": "4d0f00b8",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "#data.longitude.values\n",
    "#data.lat.values\n",
    " "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "afdbe6c9",
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (time: 4, lon: 0, lat: 0)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 2021-06-01 2021-07-01 2021-08-01 2021-09-01\n",
       "  * lon      (lon) float64 \n",
       "  * lat      (lat) float64 \n",
       "Data variables:\n",
       "    precip   (time, lat, lon) float32 \n",
       "Attributes: (12/17)\n",
       "    CDI:               Climate Data Interface version 1.9.9rc1 (https://mpime...\n",
       "    Conventions:       CF-1.6\n",
       "    history:           Mon Jul 11 11:59:05 2022: cdo -L fldmean -ymonavg -rem...\n",
       "    institution:       Climate Hazards Group.  University of California at Sa...\n",
       "    title:             CHIRPS Version 2.0\n",
       "    version:           Version 2.0\n",
       "    ...                ...\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\n",
       "    CDO:               Climate Data Operators version 1.9.9rc1 (https://mpime...</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-e0a0dea3-00e1-4fb2-a964-4da971627342' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e0a0dea3-00e1-4fb2-a964-4da971627342' 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>: 4</li><li><span class='xr-has-index'>lon</span>: 0</li><li><span class='xr-has-index'>lat</span>: 0</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-5fda5205-6d32-47d0-aa9b-399ff811efae' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5fda5205-6d32-47d0-aa9b-399ff811efae' 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'>2021-06-01 ... 2021-09-01</div><input id='attrs-6dabf7e6-f317-4bbd-befb-e4d0e229561c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6dabf7e6-f317-4bbd-befb-e4d0e229561c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-304f565e-2686-425c-b1ac-55eb8c1882df' class='xr-var-data-in' type='checkbox'><label for='data-304f565e-2686-425c-b1ac-55eb8c1882df' 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;2021-06-01T00:00:00.000000000&#x27;, &#x27;2021-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-08-01T00:00:00.000000000&#x27;, &#x27;2021-09-01T00:00:00.000000000&#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'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'></div><input id='attrs-db8e8a3b-5bee-4d7f-9462-f8dd39a0c245' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-db8e8a3b-5bee-4d7f-9462-f8dd39a0c245' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-deec1b15-88a1-49f4-adb6-2bba511cd9ed' class='xr-var-data-in' type='checkbox'><label for='data-deec1b15-88a1-49f4-adb6-2bba511cd9ed' 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([], dtype=float64)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'></div><input id='attrs-729add2e-98f0-4e2f-aee1-ad3592aaae85' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-729add2e-98f0-4e2f-aee1-ad3592aaae85' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5d0061fa-c53e-4cb2-be10-0da956bf670b' class='xr-var-data-in' type='checkbox'><label for='data-5d0061fa-c53e-4cb2-be10-0da956bf670b' 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([], dtype=float64)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-37568d38-3333-4f69-804f-246e9f7d109b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-37568d38-3333-4f69-804f-246e9f7d109b' 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, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'></div><input id='attrs-95eba35f-afa4-4a98-9b20-315a5cbc2b11' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-95eba35f-afa4-4a98-9b20-315a5cbc2b11' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fb139430-da61-48cc-8bba-e91508149c53' class='xr-var-data-in' type='checkbox'><label for='data-fb139430-da61-48cc-8bba-e91508149c53' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>convective precipitation rate</dd><dt><span>long_name :</span></dt><dd>Climate Hazards group InfraRed Precipitation with Stations</dd><dt><span>units :</span></dt><dd>mm/month</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([], shape=(4, 0, 0), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c0fd4081-a271-4014-b8a3-b728b213b3ee' class='xr-section-summary-in' type='checkbox'  ><label for='section-c0fd4081-a271-4014-b8a3-b728b213b3ee' class='xr-section-summary' >Attributes: <span>(17)</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-1.6</dd><dt><span>history :</span></dt><dd>Mon Jul 11 11:59:05 2022: cdo -L fldmean -ymonavg -remapnn,grid.des chirps-v2.0.monthly.nc chirps_yearcicle.nc\n",
       "created by Climate Hazards Group</dd><dt><span>institution :</span></dt><dd>Climate Hazards Group.  University of California at Santa Barbara</dd><dt><span>title :</span></dt><dd>CHIRPS Version 2.0</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>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><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: 4, lon: 0, lat: 0)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 2021-06-01 2021-07-01 2021-08-01 2021-09-01\n",
       "  * lon      (lon) float64 \n",
       "  * lat      (lat) float64 \n",
       "Data variables:\n",
       "    precip   (time, lat, lon) float32 \n",
       "Attributes: (12/17)\n",
       "    CDI:               Climate Data Interface version 1.9.9rc1 (https://mpime...\n",
       "    Conventions:       CF-1.6\n",
       "    history:           Mon Jul 11 11:59:05 2022: cdo -L fldmean -ymonavg -rem...\n",
       "    institution:       Climate Hazards Group.  University of California at Sa...\n",
       "    title:             CHIRPS Version 2.0\n",
       "    version:           Version 2.0\n",
       "    ...                ...\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\n",
       "    CDO:               Climate Data Operators version 1.9.9rc1 (https://mpime..."
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to select the x and y coordinates\n",
    "jjas_data = jjas_data.sel(lon=slice(86,94),lat=slice(20,27))\n",
    "jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "50897563",
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;precip&#x27; (lat: 1, lon: 1)&gt;\n",
       "array([[369.6418]], dtype=float32)\n",
       "Coordinates:\n",
       "  * lon      (lon) float64 0.0\n",
       "  * lat      (lat) float64 0.0</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'>lat</span>: 1</li><li><span class='xr-has-index'>lon</span>: 1</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-45dd4341-a1de-4596-8d8e-6e131db0e6c1' class='xr-array-in' type='checkbox' checked><label for='section-45dd4341-a1de-4596-8d8e-6e131db0e6c1' 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>369.6</span></div><div class='xr-array-data'><pre>array([[369.6418]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-ab1a1a0f-6de2-4ce3-8f9d-1763dd25e2e0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ab1a1a0f-6de2-4ce3-8f9d-1763dd25e2e0' 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'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-36462444-68b3-4ad7-8831-1b6f09a17687' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-36462444-68b3-4ad7-8831-1b6f09a17687' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-022a7acd-bf0f-4ac5-91cd-5a7d8bb55455' class='xr-var-data-in' type='checkbox'><label for='data-022a7acd-bf0f-4ac5-91cd-5a7d8bb55455' 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([0.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-1f890318-f0de-493a-97d4-f8eb62b54ef8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f890318-f0de-493a-97d4-f8eb62b54ef8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aef1d092-1e70-4089-9214-a0fb5082e842' class='xr-var-data-in' type='checkbox'><label for='data-aef1d092-1e70-4089-9214-a0fb5082e842' 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([0.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-64d03e3f-1f6b-4ea7-a394-285b8a4f929a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-64d03e3f-1f6b-4ea7-a394-285b8a4f929a' 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' (lat: 1, lon: 1)>\n",
       "array([[369.6418]], dtype=float32)\n",
       "Coordinates:\n",
       "  * lon      (lon) float64 0.0\n",
       "  * lat      (lat) float64 0.0"
      ]
     },
     "execution_count": 8,
     "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": 8,
   "id": "2731cd3b",
   "metadata": {},
   "outputs": [
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       "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.DataArray &#x27;precip&#x27; (latitude: 140, longitude: 160)&gt;\n",
       "array([[ 9.619653 ,  9.522512 ,  9.401568 , ..., 22.851358 , 22.267494 ,\n",
       "        21.491776 ],\n",
       "       [ 9.6969   ,  9.576748 ,  9.525039 , ..., 22.250105 , 21.697289 ,\n",
       "        20.956373 ],\n",
       "       [ 9.79109  ,  9.682337 ,  9.603126 , ..., 21.352385 , 20.79588  ,\n",
       "        19.802069 ],\n",
       "       ...,\n",
       "       [ 9.1870775,  9.28438  ,  9.402707 , ..., 12.626493 , 13.066852 ,\n",
       "        13.360623 ],\n",
       "       [ 9.335306 ,  9.37829  ,  9.469229 , ..., 12.927287 , 13.390353 ,\n",
       "        13.748518 ],\n",
       "       [ 9.623036 ,  9.658751 ,  9.693466 , ..., 13.406099 , 13.970648 ,\n",
       "        14.324315 ]], dtype=float32)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 20.02 20.07 20.12 20.17 ... 26.88 26.92 26.97\n",
       "  * longitude  (longitude) float32 86.02 86.08 86.12 86.17 ... 93.88 93.92 93.98</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>: 140</li><li><span class='xr-has-index'>longitude</span>: 160</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-ad8d2487-3c56-417c-b983-258a63225c31' class='xr-array-in' type='checkbox' checked><label for='section-ad8d2487-3c56-417c-b983-258a63225c31' 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>9.62 9.523 9.402 9.304 9.198 8.988 ... 12.69 13.12 13.41 13.97 14.32</span></div><div class='xr-array-data'><pre>array([[ 9.619653 ,  9.522512 ,  9.401568 , ..., 22.851358 , 22.267494 ,\n",
       "        21.491776 ],\n",
       "       [ 9.6969   ,  9.576748 ,  9.525039 , ..., 22.250105 , 21.697289 ,\n",
       "        20.956373 ],\n",
       "       [ 9.79109  ,  9.682337 ,  9.603126 , ..., 21.352385 , 20.79588  ,\n",
       "        19.802069 ],\n",
       "       ...,\n",
       "       [ 9.1870775,  9.28438  ,  9.402707 , ..., 12.626493 , 13.066852 ,\n",
       "        13.360623 ],\n",
       "       [ 9.335306 ,  9.37829  ,  9.469229 , ..., 12.927287 , 13.390353 ,\n",
       "        13.748518 ],\n",
       "       [ 9.623036 ,  9.658751 ,  9.693466 , ..., 13.406099 , 13.970648 ,\n",
       "        14.324315 ]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-39ae61f6-520d-4008-a9fd-0183e605dca3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-39ae61f6-520d-4008-a9fd-0183e605dca3' 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'>float32</div><div class='xr-var-preview xr-preview'>20.02 20.07 20.12 ... 26.92 26.97</div><input id='attrs-f382460e-c5f3-470d-aed4-4ee05e39f973' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f382460e-c5f3-470d-aed4-4ee05e39f973' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-234f7308-1726-414e-be06-e0bbf8aa0ab4' class='xr-var-data-in' type='checkbox'><label for='data-234f7308-1726-414e-be06-e0bbf8aa0ab4' 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([20.024994, 20.074997, 20.125   , 20.174995, 20.224998, 20.274994,\n",
       "       20.324997, 20.375   , 20.424995, 20.474998, 20.524994, 20.574997,\n",
       "       20.625   , 20.674995, 20.724998, 20.774994, 20.824997, 20.875   ,\n",
       "       20.924995, 20.974998, 21.024994, 21.074997, 21.125   , 21.174995,\n",
       "       21.224998, 21.274994, 21.324997, 21.375   , 21.424995, 21.474998,\n",
       "       21.524994, 21.574997, 21.625   , 21.674995, 21.724998, 21.774994,\n",
       "       21.824997, 21.875   , 21.924995, 21.974998, 22.024994, 22.074997,\n",
       "       22.125   , 22.174995, 22.224998, 22.274994, 22.324997, 22.375   ,\n",
       "       22.424995, 22.474998, 22.524994, 22.574997, 22.625   , 22.674995,\n",
       "       22.724998, 22.774994, 22.824997, 22.875   , 22.924995, 22.974998,\n",
       "       23.024994, 23.074997, 23.125   , 23.174995, 23.224998, 23.274994,\n",
       "       23.324997, 23.375   , 23.424995, 23.474998, 23.524994, 23.574997,\n",
       "       23.625   , 23.674995, 23.724998, 23.774994, 23.824997, 23.875   ,\n",
       "       23.924995, 23.974998, 24.024994, 24.074997, 24.125   , 24.174995,\n",
       "       24.224998, 24.274994, 24.324997, 24.375   , 24.424995, 24.474998,\n",
       "       24.524994, 24.574997, 24.625   , 24.674995, 24.724998, 24.774994,\n",
       "       24.824997, 24.875   , 24.924995, 24.974998, 25.024994, 25.074997,\n",
       "       25.125   , 25.174995, 25.224998, 25.274994, 25.324997, 25.375   ,\n",
       "       25.424995, 25.474998, 25.524994, 25.574997, 25.625   , 25.674995,\n",
       "       25.724998, 25.774994, 25.824997, 25.875   , 25.924995, 25.974998,\n",
       "       26.024994, 26.074997, 26.125   , 26.174995, 26.224998, 26.274994,\n",
       "       26.324997, 26.375   , 26.424995, 26.474998, 26.524994, 26.574997,\n",
       "       26.625   , 26.674995, 26.724998, 26.774994, 26.824997, 26.875   ,\n",
       "       26.924995, 26.974998], 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'>86.02 86.08 86.12 ... 93.92 93.98</div><input id='attrs-8a09e363-2cf0-49fc-847b-d1718cabc69e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8a09e363-2cf0-49fc-847b-d1718cabc69e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2b2264ab-e986-4c98-b746-30c5efd87c61' class='xr-var-data-in' type='checkbox'><label for='data-2b2264ab-e986-4c98-b746-30c5efd87c61' 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([86.024994, 86.07501 , 86.125   , 86.17499 , 86.225006, 86.274994,\n",
       "       86.32501 , 86.375   , 86.42499 , 86.475006, 86.524994, 86.57501 ,\n",
       "       86.625   , 86.67499 , 86.725006, 86.774994, 86.82501 , 86.875   ,\n",
       "       86.92499 , 86.975006, 87.024994, 87.07501 , 87.125   , 87.17499 ,\n",
       "       87.225006, 87.274994, 87.32501 , 87.375   , 87.42499 , 87.475006,\n",
       "       87.524994, 87.57501 , 87.625   , 87.67499 , 87.725006, 87.774994,\n",
       "       87.82501 , 87.875   , 87.92499 , 87.975006, 88.024994, 88.07501 ,\n",
       "       88.125   , 88.17499 , 88.225006, 88.274994, 88.32501 , 88.375   ,\n",
       "       88.42499 , 88.475006, 88.524994, 88.57501 , 88.625   , 88.67499 ,\n",
       "       88.725006, 88.774994, 88.82501 , 88.875   , 88.92499 , 88.975006,\n",
       "       89.024994, 89.07501 , 89.125   , 89.17499 , 89.225006, 89.274994,\n",
       "       89.32501 , 89.375   , 89.42499 , 89.475006, 89.524994, 89.57501 ,\n",
       "       89.625   , 89.67499 , 89.725006, 89.774994, 89.82501 , 89.875   ,\n",
       "       89.92499 , 89.975006, 90.024994, 90.07501 , 90.125   , 90.17499 ,\n",
       "       90.225006, 90.274994, 90.32501 , 90.375   , 90.42499 , 90.475006,\n",
       "       90.524994, 90.57501 , 90.625   , 90.67499 , 90.725006, 90.774994,\n",
       "       90.82501 , 90.875   , 90.92499 , 90.975006, 91.024994, 91.07501 ,\n",
       "       91.125   , 91.17499 , 91.225006, 91.274994, 91.32501 , 91.375   ,\n",
       "       91.42499 , 91.475006, 91.524994, 91.57501 , 91.625   , 91.67499 ,\n",
       "       91.725006, 91.774994, 91.82501 , 91.875   , 91.92499 , 91.975006,\n",
       "       92.024994, 92.07501 , 92.125   , 92.17499 , 92.225006, 92.274994,\n",
       "       92.32501 , 92.375   , 92.42499 , 92.475006, 92.524994, 92.57501 ,\n",
       "       92.625   , 92.67499 , 92.725006, 92.774994, 92.82501 , 92.875   ,\n",
       "       92.92499 , 92.975006, 93.024994, 93.07501 , 93.125   , 93.17499 ,\n",
       "       93.225006, 93.274994, 93.32501 , 93.375   , 93.42499 , 93.475006,\n",
       "       93.524994, 93.57501 , 93.625   , 93.67499 , 93.725006, 93.774994,\n",
       "       93.82501 , 93.875   , 93.92499 , 93.975006], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8f74d4d5-f9e8-41d2-95d1-26764b67f3f4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8f74d4d5-f9e8-41d2-95d1-26764b67f3f4' 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: 140, longitude: 160)>\n",
       "array([[ 9.619653 ,  9.522512 ,  9.401568 , ..., 22.851358 , 22.267494 ,\n",
       "        21.491776 ],\n",
       "       [ 9.6969   ,  9.576748 ,  9.525039 , ..., 22.250105 , 21.697289 ,\n",
       "        20.956373 ],\n",
       "       [ 9.79109  ,  9.682337 ,  9.603126 , ..., 21.352385 , 20.79588  ,\n",
       "        19.802069 ],\n",
       "       ...,\n",
       "       [ 9.1870775,  9.28438  ,  9.402707 , ..., 12.626493 , 13.066852 ,\n",
       "        13.360623 ],\n",
       "       [ 9.335306 ,  9.37829  ,  9.469229 , ..., 12.927287 , 13.390353 ,\n",
       "        13.748518 ],\n",
       "       [ 9.623036 ,  9.658751 ,  9.693466 , ..., 13.406099 , 13.970648 ,\n",
       "        14.324315 ]], dtype=float32)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 20.02 20.07 20.12 20.17 ... 26.88 26.92 26.97\n",
       "  * longitude  (longitude) float32 86.02 86.08 86.12 86.17 ... 93.88 93.92 93.98"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#changing unit from mm/month to mm/day\n",
    "pr_mm = jjas_mean/30.4167\n",
    "pr_mm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "bc24ba4e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 864x684 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plotting with cartopy jjas_pr_mean\n",
    "import cartopy.feature as cfeature\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",
    " \n",
    "m1 = ax.contourf(['longitude'][:], pr_mm['latitude'][:],pr_mm,\n",
    "                 np.arange(1,35+1,5),transform = ccrs.PlateCarree(),cmap='YlGnBu',extend='both')\n",
    "\n",
    "\n",
    "\n",
    "# Define the xticks for longitude\n",
    "ax.set_xticks(np.arange(87,93,1), 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",
    "\n",
    "plt.colorbar(m1, orientation = 'horizontal',shrink=0.5, fraction = 0.04 , label = 'rain_rate mm/day')\n",
    "ax.coastlines(linewidth=3)\n",
    "ax.add_feature(cfeature.BORDERS,linewidth=3)\n",
    "\n",
    "\n",
    "ax.add_feature(cfeature.LAND.with_scale(scale))\n",
    "ax.add_feature(cfeature.OCEAN.with_scale(scale))\n",
    "ax.add_feature(cfeature.STATES.with_scale(scale))\n",
    "ax.add_feature(cfeature.LAKES.with_scale(scale), alpha=0.5)\n",
    "ax.add_feature(cfeature.COASTLINE.with_scale(scale))\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "plt.title('CHIRPS Mean jjas precip rate in mm/day')\n",
    "#plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/bd_pr_chirps_jjas_mean.png\")\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "676a1645",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (latitude: 140, longitude: 160, time: 419)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 20.02 20.07 20.12 20.17 ... 26.88 26.92 26.97\n",
       "  * longitude  (longitude) float32 86.02 86.08 86.12 86.17 ... 93.88 93.92 93.98\n",
       "  * time       (time) datetime64[ns] 1981-02-01 1981-03-01 ... 2015-12-01\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</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-b7602d40-b749-41da-b453-226cde73ef26' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b7602d40-b749-41da-b453-226cde73ef26' 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>: 140</li><li><span class='xr-has-index'>longitude</span>: 160</li><li><span class='xr-has-index'>time</span>: 419</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-71d7c8b7-aee8-4ab6-85fc-d13944accb46' class='xr-section-summary-in' type='checkbox'  checked><label for='section-71d7c8b7-aee8-4ab6-85fc-d13944accb46' 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'>20.02 20.07 20.12 ... 26.92 26.97</div><input id='attrs-8029fcc6-40e0-4690-bd64-6d04bea0ae37' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8029fcc6-40e0-4690-bd64-6d04bea0ae37' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-beda28c3-7e4c-4bb4-b4bb-1375ebc1ff0d' class='xr-var-data-in' type='checkbox'><label for='data-beda28c3-7e4c-4bb4-b4bb-1375ebc1ff0d' 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([20.024994, 20.074997, 20.125   , 20.174995, 20.224998, 20.274994,\n",
       "       20.324997, 20.375   , 20.424995, 20.474998, 20.524994, 20.574997,\n",
       "       20.625   , 20.674995, 20.724998, 20.774994, 20.824997, 20.875   ,\n",
       "       20.924995, 20.974998, 21.024994, 21.074997, 21.125   , 21.174995,\n",
       "       21.224998, 21.274994, 21.324997, 21.375   , 21.424995, 21.474998,\n",
       "       21.524994, 21.574997, 21.625   , 21.674995, 21.724998, 21.774994,\n",
       "       21.824997, 21.875   , 21.924995, 21.974998, 22.024994, 22.074997,\n",
       "       22.125   , 22.174995, 22.224998, 22.274994, 22.324997, 22.375   ,\n",
       "       22.424995, 22.474998, 22.524994, 22.574997, 22.625   , 22.674995,\n",
       "       22.724998, 22.774994, 22.824997, 22.875   , 22.924995, 22.974998,\n",
       "       23.024994, 23.074997, 23.125   , 23.174995, 23.224998, 23.274994,\n",
       "       23.324997, 23.375   , 23.424995, 23.474998, 23.524994, 23.574997,\n",
       "       23.625   , 23.674995, 23.724998, 23.774994, 23.824997, 23.875   ,\n",
       "       23.924995, 23.974998, 24.024994, 24.074997, 24.125   , 24.174995,\n",
       "       24.224998, 24.274994, 24.324997, 24.375   , 24.424995, 24.474998,\n",
       "       24.524994, 24.574997, 24.625   , 24.674995, 24.724998, 24.774994,\n",
       "       24.824997, 24.875   , 24.924995, 24.974998, 25.024994, 25.074997,\n",
       "       25.125   , 25.174995, 25.224998, 25.274994, 25.324997, 25.375   ,\n",
       "       25.424995, 25.474998, 25.524994, 25.574997, 25.625   , 25.674995,\n",
       "       25.724998, 25.774994, 25.824997, 25.875   , 25.924995, 25.974998,\n",
       "       26.024994, 26.074997, 26.125   , 26.174995, 26.224998, 26.274994,\n",
       "       26.324997, 26.375   , 26.424995, 26.474998, 26.524994, 26.574997,\n",
       "       26.625   , 26.674995, 26.724998, 26.774994, 26.824997, 26.875   ,\n",
       "       26.924995, 26.974998], 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'>86.02 86.08 86.12 ... 93.92 93.98</div><input id='attrs-2c17198c-6060-4c6a-8682-e810ca5903d2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2c17198c-6060-4c6a-8682-e810ca5903d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-94cd5c2f-7fdf-4ca5-8563-a083f2343591' class='xr-var-data-in' type='checkbox'><label for='data-94cd5c2f-7fdf-4ca5-8563-a083f2343591' 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([86.024994, 86.07501 , 86.125   , 86.17499 , 86.225006, 86.274994,\n",
       "       86.32501 , 86.375   , 86.42499 , 86.475006, 86.524994, 86.57501 ,\n",
       "       86.625   , 86.67499 , 86.725006, 86.774994, 86.82501 , 86.875   ,\n",
       "       86.92499 , 86.975006, 87.024994, 87.07501 , 87.125   , 87.17499 ,\n",
       "       87.225006, 87.274994, 87.32501 , 87.375   , 87.42499 , 87.475006,\n",
       "       87.524994, 87.57501 , 87.625   , 87.67499 , 87.725006, 87.774994,\n",
       "       87.82501 , 87.875   , 87.92499 , 87.975006, 88.024994, 88.07501 ,\n",
       "       88.125   , 88.17499 , 88.225006, 88.274994, 88.32501 , 88.375   ,\n",
       "       88.42499 , 88.475006, 88.524994, 88.57501 , 88.625   , 88.67499 ,\n",
       "       88.725006, 88.774994, 88.82501 , 88.875   , 88.92499 , 88.975006,\n",
       "       89.024994, 89.07501 , 89.125   , 89.17499 , 89.225006, 89.274994,\n",
       "       89.32501 , 89.375   , 89.42499 , 89.475006, 89.524994, 89.57501 ,\n",
       "       89.625   , 89.67499 , 89.725006, 89.774994, 89.82501 , 89.875   ,\n",
       "       89.92499 , 89.975006, 90.024994, 90.07501 , 90.125   , 90.17499 ,\n",
       "       90.225006, 90.274994, 90.32501 , 90.375   , 90.42499 , 90.475006,\n",
       "       90.524994, 90.57501 , 90.625   , 90.67499 , 90.725006, 90.774994,\n",
       "       90.82501 , 90.875   , 90.92499 , 90.975006, 91.024994, 91.07501 ,\n",
       "       91.125   , 91.17499 , 91.225006, 91.274994, 91.32501 , 91.375   ,\n",
       "       91.42499 , 91.475006, 91.524994, 91.57501 , 91.625   , 91.67499 ,\n",
       "       91.725006, 91.774994, 91.82501 , 91.875   , 91.92499 , 91.975006,\n",
       "       92.024994, 92.07501 , 92.125   , 92.17499 , 92.225006, 92.274994,\n",
       "       92.32501 , 92.375   , 92.42499 , 92.475006, 92.524994, 92.57501 ,\n",
       "       92.625   , 92.67499 , 92.725006, 92.774994, 92.82501 , 92.875   ,\n",
       "       92.92499 , 92.975006, 93.024994, 93.07501 , 93.125   , 93.17499 ,\n",
       "       93.225006, 93.274994, 93.32501 , 93.375   , 93.42499 , 93.475006,\n",
       "       93.524994, 93.57501 , 93.625   , 93.67499 , 93.725006, 93.774994,\n",
       "       93.82501 , 93.875   , 93.92499 , 93.975006], 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 ... 2015-12-01</div><input id='attrs-027011cb-e209-472c-88f7-6be1d1475426' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-027011cb-e209-472c-88f7-6be1d1475426' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-232915b0-4221-4d40-ae06-11ec144ade5b' class='xr-var-data-in' type='checkbox'><label for='data-232915b0-4221-4d40-ae06-11ec144ade5b' 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;2015-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-11-01T00:00:00.000000000&#x27;, &#x27;2015-12-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-97926394-8014-461e-92a2-8bbb2c2cd6a3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-97926394-8014-461e-92a2-8bbb2c2cd6a3' 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-e2f2b10f-e85e-4c85-a06c-699e07e29ba2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e2f2b10f-e85e-4c85-a06c-699e07e29ba2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b051600e-eb6c-448b-a775-dca54984ccbe' class='xr-var-data-in' type='checkbox'><label for='data-b051600e-eb6c-448b-a775-dca54984ccbe' 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>[9385600 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7ed1303f-6204-4dc2-b096-8c9e39346b4e' class='xr-section-summary-in' type='checkbox'  ><label for='section-7ed1303f-6204-4dc2-b096-8c9e39346b4e' 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: 140, longitude: 160, time: 419)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 20.02 20.07 20.12 20.17 ... 26.88 26.92 26.97\n",
       "  * longitude  (longitude) float32 86.02 86.08 86.12 86.17 ... 93.88 93.92 93.98\n",
       "  * time       (time) datetime64[ns] 1981-02-01 1981-03-01 ... 2015-12-01\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": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to select the x and y coordinates\n",
    "data = data.sel(longitude=slice(86,94),latitude=slice(20,27))\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "2c020d41",
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   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;precip&#x27; (latitude: 140, longitude: 160)&gt;\n",
       "array([[128.91599 , 127.90964 , 126.618225, ..., 284.76627 , 275.99896 ,\n",
       "        269.25116 ],\n",
       "       [130.53674 , 129.22023 , 128.35138 , ..., 277.98755 , 270.63956 ,\n",
       "        264.2491  ],\n",
       "       [132.24908 , 130.93236 , 129.58382 , ..., 270.20334 , 262.28305 ,\n",
       "        252.00252 ],\n",
       "       ...,\n",
       "       [115.86087 , 117.74231 , 119.25417 , ..., 200.56328 , 206.69228 ,\n",
       "        212.01973 ],\n",
       "       [118.15063 , 119.01423 , 119.880035, ..., 204.71297 , 211.46356 ,\n",
       "        217.20477 ],\n",
       "       [122.17359 , 122.7628  , 122.73258 , ..., 210.79192 , 218.28172 ,\n",
       "        223.78409 ]], dtype=float32)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 20.02 20.07 20.12 20.17 ... 26.88 26.92 26.97\n",
       "  * longitude  (longitude) float32 86.02 86.08 86.12 86.17 ... 93.88 93.92 93.98</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>: 140</li><li><span class='xr-has-index'>longitude</span>: 160</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-d785ef81-5831-4c8f-9830-20e6118b8321' class='xr-array-in' type='checkbox' checked><label for='section-d785ef81-5831-4c8f-9830-20e6118b8321' 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>128.9 127.9 126.6 124.8 123.6 121.2 ... 199.6 205.6 210.8 218.3 223.8</span></div><div class='xr-array-data'><pre>array([[128.91599 , 127.90964 , 126.618225, ..., 284.76627 , 275.99896 ,\n",
       "        269.25116 ],\n",
       "       [130.53674 , 129.22023 , 128.35138 , ..., 277.98755 , 270.63956 ,\n",
       "        264.2491  ],\n",
       "       [132.24908 , 130.93236 , 129.58382 , ..., 270.20334 , 262.28305 ,\n",
       "        252.00252 ],\n",
       "       ...,\n",
       "       [115.86087 , 117.74231 , 119.25417 , ..., 200.56328 , 206.69228 ,\n",
       "        212.01973 ],\n",
       "       [118.15063 , 119.01423 , 119.880035, ..., 204.71297 , 211.46356 ,\n",
       "        217.20477 ],\n",
       "       [122.17359 , 122.7628  , 122.73258 , ..., 210.79192 , 218.28172 ,\n",
       "        223.78409 ]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-191db6d2-bd66-413b-9815-bc36b1f93c04' class='xr-section-summary-in' type='checkbox'  checked><label for='section-191db6d2-bd66-413b-9815-bc36b1f93c04' 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'>float32</div><div class='xr-var-preview xr-preview'>20.02 20.07 20.12 ... 26.92 26.97</div><input id='attrs-38b01e75-a65e-455a-997c-95e661c082db' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-38b01e75-a65e-455a-997c-95e661c082db' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-757aa15a-fafa-48f3-ab0c-1033445858fc' class='xr-var-data-in' type='checkbox'><label for='data-757aa15a-fafa-48f3-ab0c-1033445858fc' 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([20.024994, 20.074997, 20.125   , 20.174995, 20.224998, 20.274994,\n",
       "       20.324997, 20.375   , 20.424995, 20.474998, 20.524994, 20.574997,\n",
       "       20.625   , 20.674995, 20.724998, 20.774994, 20.824997, 20.875   ,\n",
       "       20.924995, 20.974998, 21.024994, 21.074997, 21.125   , 21.174995,\n",
       "       21.224998, 21.274994, 21.324997, 21.375   , 21.424995, 21.474998,\n",
       "       21.524994, 21.574997, 21.625   , 21.674995, 21.724998, 21.774994,\n",
       "       21.824997, 21.875   , 21.924995, 21.974998, 22.024994, 22.074997,\n",
       "       22.125   , 22.174995, 22.224998, 22.274994, 22.324997, 22.375   ,\n",
       "       22.424995, 22.474998, 22.524994, 22.574997, 22.625   , 22.674995,\n",
       "       22.724998, 22.774994, 22.824997, 22.875   , 22.924995, 22.974998,\n",
       "       23.024994, 23.074997, 23.125   , 23.174995, 23.224998, 23.274994,\n",
       "       23.324997, 23.375   , 23.424995, 23.474998, 23.524994, 23.574997,\n",
       "       23.625   , 23.674995, 23.724998, 23.774994, 23.824997, 23.875   ,\n",
       "       23.924995, 23.974998, 24.024994, 24.074997, 24.125   , 24.174995,\n",
       "       24.224998, 24.274994, 24.324997, 24.375   , 24.424995, 24.474998,\n",
       "       24.524994, 24.574997, 24.625   , 24.674995, 24.724998, 24.774994,\n",
       "       24.824997, 24.875   , 24.924995, 24.974998, 25.024994, 25.074997,\n",
       "       25.125   , 25.174995, 25.224998, 25.274994, 25.324997, 25.375   ,\n",
       "       25.424995, 25.474998, 25.524994, 25.574997, 25.625   , 25.674995,\n",
       "       25.724998, 25.774994, 25.824997, 25.875   , 25.924995, 25.974998,\n",
       "       26.024994, 26.074997, 26.125   , 26.174995, 26.224998, 26.274994,\n",
       "       26.324997, 26.375   , 26.424995, 26.474998, 26.524994, 26.574997,\n",
       "       26.625   , 26.674995, 26.724998, 26.774994, 26.824997, 26.875   ,\n",
       "       26.924995, 26.974998], 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'>86.02 86.08 86.12 ... 93.92 93.98</div><input id='attrs-3d5db81a-a180-4e1a-bd8a-11f29517fb45' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3d5db81a-a180-4e1a-bd8a-11f29517fb45' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-21e13876-b838-4840-83e3-cb92df9ad9c2' class='xr-var-data-in' type='checkbox'><label for='data-21e13876-b838-4840-83e3-cb92df9ad9c2' 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([86.024994, 86.07501 , 86.125   , 86.17499 , 86.225006, 86.274994,\n",
       "       86.32501 , 86.375   , 86.42499 , 86.475006, 86.524994, 86.57501 ,\n",
       "       86.625   , 86.67499 , 86.725006, 86.774994, 86.82501 , 86.875   ,\n",
       "       86.92499 , 86.975006, 87.024994, 87.07501 , 87.125   , 87.17499 ,\n",
       "       87.225006, 87.274994, 87.32501 , 87.375   , 87.42499 , 87.475006,\n",
       "       87.524994, 87.57501 , 87.625   , 87.67499 , 87.725006, 87.774994,\n",
       "       87.82501 , 87.875   , 87.92499 , 87.975006, 88.024994, 88.07501 ,\n",
       "       88.125   , 88.17499 , 88.225006, 88.274994, 88.32501 , 88.375   ,\n",
       "       88.42499 , 88.475006, 88.524994, 88.57501 , 88.625   , 88.67499 ,\n",
       "       88.725006, 88.774994, 88.82501 , 88.875   , 88.92499 , 88.975006,\n",
       "       89.024994, 89.07501 , 89.125   , 89.17499 , 89.225006, 89.274994,\n",
       "       89.32501 , 89.375   , 89.42499 , 89.475006, 89.524994, 89.57501 ,\n",
       "       89.625   , 89.67499 , 89.725006, 89.774994, 89.82501 , 89.875   ,\n",
       "       89.92499 , 89.975006, 90.024994, 90.07501 , 90.125   , 90.17499 ,\n",
       "       90.225006, 90.274994, 90.32501 , 90.375   , 90.42499 , 90.475006,\n",
       "       90.524994, 90.57501 , 90.625   , 90.67499 , 90.725006, 90.774994,\n",
       "       90.82501 , 90.875   , 90.92499 , 90.975006, 91.024994, 91.07501 ,\n",
       "       91.125   , 91.17499 , 91.225006, 91.274994, 91.32501 , 91.375   ,\n",
       "       91.42499 , 91.475006, 91.524994, 91.57501 , 91.625   , 91.67499 ,\n",
       "       91.725006, 91.774994, 91.82501 , 91.875   , 91.92499 , 91.975006,\n",
       "       92.024994, 92.07501 , 92.125   , 92.17499 , 92.225006, 92.274994,\n",
       "       92.32501 , 92.375   , 92.42499 , 92.475006, 92.524994, 92.57501 ,\n",
       "       92.625   , 92.67499 , 92.725006, 92.774994, 92.82501 , 92.875   ,\n",
       "       92.92499 , 92.975006, 93.024994, 93.07501 , 93.125   , 93.17499 ,\n",
       "       93.225006, 93.274994, 93.32501 , 93.375   , 93.42499 , 93.475006,\n",
       "       93.524994, 93.57501 , 93.625   , 93.67499 , 93.725006, 93.774994,\n",
       "       93.82501 , 93.875   , 93.92499 , 93.975006], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9ca8834e-4e07-48ce-9058-7444863393d4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9ca8834e-4e07-48ce-9058-7444863393d4' 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: 140, longitude: 160)>\n",
       "array([[128.91599 , 127.90964 , 126.618225, ..., 284.76627 , 275.99896 ,\n",
       "        269.25116 ],\n",
       "       [130.53674 , 129.22023 , 128.35138 , ..., 277.98755 , 270.63956 ,\n",
       "        264.2491  ],\n",
       "       [132.24908 , 130.93236 , 129.58382 , ..., 270.20334 , 262.28305 ,\n",
       "        252.00252 ],\n",
       "       ...,\n",
       "       [115.86087 , 117.74231 , 119.25417 , ..., 200.56328 , 206.69228 ,\n",
       "        212.01973 ],\n",
       "       [118.15063 , 119.01423 , 119.880035, ..., 204.71297 , 211.46356 ,\n",
       "        217.20477 ],\n",
       "       [122.17359 , 122.7628  , 122.73258 , ..., 210.79192 , 218.28172 ,\n",
       "        223.78409 ]], dtype=float32)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 20.02 20.07 20.12 20.17 ... 26.88 26.92 26.97\n",
       "  * longitude  (longitude) float32 86.02 86.08 86.12 86.17 ... 93.88 93.92 93.98"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "annual_mean = data.precip.mean('time')\n",
    "annual_mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "a4d84f93",
   "metadata": {},
   "outputs": [
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       "  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.DataArray &#x27;precip&#x27; (latitude: 140, longitude: 160)&gt;\n",
       "array([[4.2384267, 4.2053404, 4.1628823, ..., 9.362384 , 9.074138 ,\n",
       "        8.852287 ],\n",
       "       [4.2917128, 4.2484293, 4.219864 , ..., 9.139517 , 8.897934 ,\n",
       "        8.687833 ],\n",
       "       [4.3480105, 4.30472  , 4.260383 , ..., 8.883592 , 8.623194 ,\n",
       "        8.285195 ],\n",
       "       ...,\n",
       "       [3.809208 , 3.871065 , 3.9207711, ..., 6.5940056, 6.7955112,\n",
       "        6.9706645],\n",
       "       [3.8844893, 3.9128823, 3.9413478, ..., 6.730437 , 6.952379 ,\n",
       "        7.141135 ],\n",
       "       [4.016754 , 4.0361257, 4.0351324, ..., 6.930297 , 7.1765428,\n",
       "        7.357446 ]], dtype=float32)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 20.02 20.07 20.12 20.17 ... 26.88 26.92 26.97\n",
       "  * longitude  (longitude) float32 86.02 86.08 86.12 86.17 ... 93.88 93.92 93.98</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>: 140</li><li><span class='xr-has-index'>longitude</span>: 160</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-191553d6-ff8d-4061-9dd5-767e72b26633' class='xr-array-in' type='checkbox' checked><label for='section-191553d6-ff8d-4061-9dd5-767e72b26633' 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>4.238 4.205 4.163 4.105 4.065 3.983 ... 6.561 6.76 6.93 7.177 7.357</span></div><div class='xr-array-data'><pre>array([[4.2384267, 4.2053404, 4.1628823, ..., 9.362384 , 9.074138 ,\n",
       "        8.852287 ],\n",
       "       [4.2917128, 4.2484293, 4.219864 , ..., 9.139517 , 8.897934 ,\n",
       "        8.687833 ],\n",
       "       [4.3480105, 4.30472  , 4.260383 , ..., 8.883592 , 8.623194 ,\n",
       "        8.285195 ],\n",
       "       ...,\n",
       "       [3.809208 , 3.871065 , 3.9207711, ..., 6.5940056, 6.7955112,\n",
       "        6.9706645],\n",
       "       [3.8844893, 3.9128823, 3.9413478, ..., 6.730437 , 6.952379 ,\n",
       "        7.141135 ],\n",
       "       [4.016754 , 4.0361257, 4.0351324, ..., 6.930297 , 7.1765428,\n",
       "        7.357446 ]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-4ffdef57-f04b-4c56-b082-6b4afd5d87d8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4ffdef57-f04b-4c56-b082-6b4afd5d87d8' 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'>float32</div><div class='xr-var-preview xr-preview'>20.02 20.07 20.12 ... 26.92 26.97</div><input id='attrs-4780c017-c578-4925-8a55-6ebdf9115bb4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4780c017-c578-4925-8a55-6ebdf9115bb4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a8d14d2-10a8-4130-ab50-11b12b3bdebe' class='xr-var-data-in' type='checkbox'><label for='data-0a8d14d2-10a8-4130-ab50-11b12b3bdebe' 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([20.024994, 20.074997, 20.125   , 20.174995, 20.224998, 20.274994,\n",
       "       20.324997, 20.375   , 20.424995, 20.474998, 20.524994, 20.574997,\n",
       "       20.625   , 20.674995, 20.724998, 20.774994, 20.824997, 20.875   ,\n",
       "       20.924995, 20.974998, 21.024994, 21.074997, 21.125   , 21.174995,\n",
       "       21.224998, 21.274994, 21.324997, 21.375   , 21.424995, 21.474998,\n",
       "       21.524994, 21.574997, 21.625   , 21.674995, 21.724998, 21.774994,\n",
       "       21.824997, 21.875   , 21.924995, 21.974998, 22.024994, 22.074997,\n",
       "       22.125   , 22.174995, 22.224998, 22.274994, 22.324997, 22.375   ,\n",
       "       22.424995, 22.474998, 22.524994, 22.574997, 22.625   , 22.674995,\n",
       "       22.724998, 22.774994, 22.824997, 22.875   , 22.924995, 22.974998,\n",
       "       23.024994, 23.074997, 23.125   , 23.174995, 23.224998, 23.274994,\n",
       "       23.324997, 23.375   , 23.424995, 23.474998, 23.524994, 23.574997,\n",
       "       23.625   , 23.674995, 23.724998, 23.774994, 23.824997, 23.875   ,\n",
       "       23.924995, 23.974998, 24.024994, 24.074997, 24.125   , 24.174995,\n",
       "       24.224998, 24.274994, 24.324997, 24.375   , 24.424995, 24.474998,\n",
       "       24.524994, 24.574997, 24.625   , 24.674995, 24.724998, 24.774994,\n",
       "       24.824997, 24.875   , 24.924995, 24.974998, 25.024994, 25.074997,\n",
       "       25.125   , 25.174995, 25.224998, 25.274994, 25.324997, 25.375   ,\n",
       "       25.424995, 25.474998, 25.524994, 25.574997, 25.625   , 25.674995,\n",
       "       25.724998, 25.774994, 25.824997, 25.875   , 25.924995, 25.974998,\n",
       "       26.024994, 26.074997, 26.125   , 26.174995, 26.224998, 26.274994,\n",
       "       26.324997, 26.375   , 26.424995, 26.474998, 26.524994, 26.574997,\n",
       "       26.625   , 26.674995, 26.724998, 26.774994, 26.824997, 26.875   ,\n",
       "       26.924995, 26.974998], 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'>86.02 86.08 86.12 ... 93.92 93.98</div><input id='attrs-493aa504-88e8-4cb9-9d86-131c19e4411c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-493aa504-88e8-4cb9-9d86-131c19e4411c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d7e7027c-623d-45ad-b206-6c1b9509f04a' class='xr-var-data-in' type='checkbox'><label for='data-d7e7027c-623d-45ad-b206-6c1b9509f04a' 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([86.024994, 86.07501 , 86.125   , 86.17499 , 86.225006, 86.274994,\n",
       "       86.32501 , 86.375   , 86.42499 , 86.475006, 86.524994, 86.57501 ,\n",
       "       86.625   , 86.67499 , 86.725006, 86.774994, 86.82501 , 86.875   ,\n",
       "       86.92499 , 86.975006, 87.024994, 87.07501 , 87.125   , 87.17499 ,\n",
       "       87.225006, 87.274994, 87.32501 , 87.375   , 87.42499 , 87.475006,\n",
       "       87.524994, 87.57501 , 87.625   , 87.67499 , 87.725006, 87.774994,\n",
       "       87.82501 , 87.875   , 87.92499 , 87.975006, 88.024994, 88.07501 ,\n",
       "       88.125   , 88.17499 , 88.225006, 88.274994, 88.32501 , 88.375   ,\n",
       "       88.42499 , 88.475006, 88.524994, 88.57501 , 88.625   , 88.67499 ,\n",
       "       88.725006, 88.774994, 88.82501 , 88.875   , 88.92499 , 88.975006,\n",
       "       89.024994, 89.07501 , 89.125   , 89.17499 , 89.225006, 89.274994,\n",
       "       89.32501 , 89.375   , 89.42499 , 89.475006, 89.524994, 89.57501 ,\n",
       "       89.625   , 89.67499 , 89.725006, 89.774994, 89.82501 , 89.875   ,\n",
       "       89.92499 , 89.975006, 90.024994, 90.07501 , 90.125   , 90.17499 ,\n",
       "       90.225006, 90.274994, 90.32501 , 90.375   , 90.42499 , 90.475006,\n",
       "       90.524994, 90.57501 , 90.625   , 90.67499 , 90.725006, 90.774994,\n",
       "       90.82501 , 90.875   , 90.92499 , 90.975006, 91.024994, 91.07501 ,\n",
       "       91.125   , 91.17499 , 91.225006, 91.274994, 91.32501 , 91.375   ,\n",
       "       91.42499 , 91.475006, 91.524994, 91.57501 , 91.625   , 91.67499 ,\n",
       "       91.725006, 91.774994, 91.82501 , 91.875   , 91.92499 , 91.975006,\n",
       "       92.024994, 92.07501 , 92.125   , 92.17499 , 92.225006, 92.274994,\n",
       "       92.32501 , 92.375   , 92.42499 , 92.475006, 92.524994, 92.57501 ,\n",
       "       92.625   , 92.67499 , 92.725006, 92.774994, 92.82501 , 92.875   ,\n",
       "       92.92499 , 92.975006, 93.024994, 93.07501 , 93.125   , 93.17499 ,\n",
       "       93.225006, 93.274994, 93.32501 , 93.375   , 93.42499 , 93.475006,\n",
       "       93.524994, 93.57501 , 93.625   , 93.67499 , 93.725006, 93.774994,\n",
       "       93.82501 , 93.875   , 93.92499 , 93.975006], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-984f179a-1faf-4337-b576-498bb9f7d314' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-984f179a-1faf-4337-b576-498bb9f7d314' 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: 140, longitude: 160)>\n",
       "array([[4.2384267, 4.2053404, 4.1628823, ..., 9.362384 , 9.074138 ,\n",
       "        8.852287 ],\n",
       "       [4.2917128, 4.2484293, 4.219864 , ..., 9.139517 , 8.897934 ,\n",
       "        8.687833 ],\n",
       "       [4.3480105, 4.30472  , 4.260383 , ..., 8.883592 , 8.623194 ,\n",
       "        8.285195 ],\n",
       "       ...,\n",
       "       [3.809208 , 3.871065 , 3.9207711, ..., 6.5940056, 6.7955112,\n",
       "        6.9706645],\n",
       "       [3.8844893, 3.9128823, 3.9413478, ..., 6.730437 , 6.952379 ,\n",
       "        7.141135 ],\n",
       "       [4.016754 , 4.0361257, 4.0351324, ..., 6.930297 , 7.1765428,\n",
       "        7.357446 ]], dtype=float32)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 20.02 20.07 20.12 20.17 ... 26.88 26.92 26.97\n",
       "  * longitude  (longitude) float32 86.02 86.08 86.12 86.17 ... 93.88 93.92 93.98"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#converting from mm/month to mm/day\n",
    "\n",
    "annual_pr_mm = annual_mean/30.416\n",
    "annual_pr_mm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "a196b8fb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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YsmIURYvn0Wv39MkbmjUayvNnmgwfS/8Zzfcd6xvFJkMk1sNFlcxNLyuKUi4h+pIiZObc9PDh3asPdK07kM+eXwDo2L81/cf1iOFK80R3CklRFLat3svs0X8TEhwCQK8RHek+pH10XUTC2+Mz18/f4cXjV1StX4FcBVxiviga4vvDHN8fAEP3+/TJm5PHrvLxoxdW1laEhipsWHuAM6duxNhfq67f0PfXbjg4xu51JCUhev7sHZ3ajePa1YeRzjk5ObBh8ySqVS8Z7/4VReHwwYscP3qVRw9fkS17Bn7s14pdO04zfox+xB07O1umzuxHtRqlePXyPY8fvWLa5DWqUNnZ2XLj3jqyZP36ddzYPsRIETICUoQ0f1QHthznt74zAXBKn5bdt9cmmz03W1buYdaIhQCkdrBjx43VpLaPem9YYEAQK/7YwIEtx/D57KuKM4CllSUd+rai+5DvSZXaNCOqr6GQgy1LFm1j6sSVeHlF/YNS45tKDJ7UG0tLC47vOcviKavx/eKnns+QJR3DpvWjxjeVYnXfpCBEwcEh1KnWj6tXHkTZJlv2DFy9vYbU8fjs795+yvAhf3H86NcvV9vaWvPP2nE0axH/WKUxCYruZ5bY06tShAh/05PClye+6P5hhYaG8k3hDuoP7tYr/5A5e0ZTmZaghISE0LFGf1480jhZ1mlejR5D2+OSJxvWNtZquwD/QG5fvsfyWevV6cmoyOaamWHT+1GpTlmj2p6QKIrCL50ncPrgxSjbWFhY0Hngt/T8pQOWluEJXj+8cWfWiIWcOqDvcFqyYhE6/dSWyvXKYWER864Ic/4+/W/dQXp1D09n1PPH5jg5pcHD4zPLl+xQ6ydP78vAn7+Ldb8eHp+ZOnElSxZtIyQkNMb27drX48rl+zx8YDglk7NzGv63ZTJVqsZ+o2pSW6NL8SIU8QMz5y9OfDH0R9m17kAe3noCwPL9cyhcKn9im2U0/lu2kzljIj9sWNtYkdohNYqi4O3x2eC1lpYWFCyRD0VR9NaYACrVKUv7Pq1Im94Rt7cfcXv7ET9fP7K5ZsE1b3Zc8mbHysrSYL+JzZXTN/ip9Wi1nMUlE+WqlSRUUQgKCMIlTzbqNK9GnkI5DV6vKApHdpxi9ui/8XD31DuXu6ArnX5qQ/1WNbGyjlOglDij+30MDg5h356zXL54j+DgEOzsbMmaPQPp0jkSEhxCUFAwQcEhCKBQkVwUK54HW1ubSH36+QVQuewPPH70GoBRv3Zl9Lhu6vmli7cxZOBcABwc7Fi3cQLXrj5k356zvHr5AUdHe6rXLEmtOmXJmy8HHz968frlBy6cv8O61fv4ojOKtLS0oEv3xjg62jN3duQtkC/e78DKypK/5mzk3w0H8fcPJHeebOTKnY18+XPQvmMDsueI3QNiUhOfMKQIJXMRiuoPc3C7sVw4ppkqmLl2PFXrJ7VklVETHBTM6B5TIj3JR0ePoe1p06Mpqe1TYWtnS2hoKLvWH2TBxH/0puiiwym9I7WaVKFBm1qUrFjUpFOcY3pO5ejO04DGo3DsXz/rjQRji7fHZxZNXsXu/x0iOChY71zm7Bn5/seWNO1YH3uH1FH0ED9CQkLw8/HH94sfnp+8ObnvHDvW7sftraHEvYaxtbWmbbu6/Dq+OzlcNBufb15/xJBBczmnHf2mTWvP9Xvr9JwQAgICKV20Cy9fvP+q11Czdmlm/DGAIsVyoygKxQt2UJ0MQCNQr9x24eDw9aHEkqoAgRQhIHlPx0X1xzl1yDx2rjsAQL+x3ej0U1uD7ZIqwUHB7N14hLOHL3Hjwh28PnnrTY8IIXDJm52SFYvQolNDipQx7P76yc2TBRNWsO+/o9G60kakXssaDJ/RzySeh25v3Wldtof6etceXxDliCe2fHjjzv/+3saONfvx9fGLdN4pvSMZMqcjQ5b02v81x+kzORESEorvFz98Pvvi+8UPXx8/fD/74vNF839YnXr+ix9+vv5fZa8uNrbWFClTEK9P3jy9/0Lv3Mg/BtC8U0O9uuLO9mz69wjdO0+M1/0KFc7JmHHdadG6ht6DyK4dp2jfdqxa/r5DfZauHG2oi1iTlMUnDClCyZyo/ki3r9nH9GHzAc3C9LSVyTtZpqIoBPoH4vPFDxQFx3SOcZo6e/X0DesXbuHc0SvYpU5FhizpyZg1PbapbHj97C2Pbj+NFEYoT6GcrDoyT2+9xZgoisKTe8+ZPHgu97RTiaWrFGPB1mkJdg9vzy9s+Wc3G5fuwPOjV4L1G1ucMzjRsG0tnNKnxfeLH25v3fni7YuVtSVWVlZY21jh7xfAveuPePP8XZT9WFhY0PfXrnTo1zrKEevh7SdZv3ALPl/8yFPQleqNKlK8fGFsP3lx7MgVTp+6wUd3T5yd05A9RyZyuGaiQcOK1K5bNso+T524xtHDV0jr5MCP/VoanC6MLYkpQMWd7eN0v7AH+thcI0UomRLTh//o9lO61NHEhs2WMwubLixLDLOSLaGhody4cIdtq/ZyYMtxtX79yUWxdvMO8A/E39eftOkcDZ739/Xn2cNXfHLzwMPdCw93T/X/T26ePL7zjI9al94wjDXVGuAXwO5/D7N5xS6eP3xFaGjMi/BxJbW9HanT2JHaITXZXDPTuF1dajauHOtpxcunbrBo0kru6Gz4tLK2osY3leg2uB35iuaOt23mMGuSWCIU8bXGxdMuNtckpAgZd4VSEmti88eZLqOTeuzz2deI1qQMLCwsKFWpGJmzZdQToQ2LtvL62VuCgoLJ6pqZRt/WpkLN0pG8y47vOcOE/rMJDAikTvPqVK5Xjlz5Xfjwxp2bF+9w7dxt7t94HGldJiosrSwZPKm30db6bO1sad2tMa27NSYkJAQPdy/c333C/d1H3N9/0hy//8SnDx5YWVuR2sFOKyqpSe1gh72D9the51in3i51qlh54EVH2WolWLZvNk/vv+Ddqw+kdrAjf7E80brsS8KJSmjjOiqK7zXxQYpQLDBGQMj4fLjeOovt9mkSdlE5JbNl5W698s71B9TjmxfvcmDzMbK6ZOabdnXIVyQ31trNo6N03IUPbj3Owa3HiQ9p0tpTukpxOvZvQ/HyheP3IuKIpaWlZh0oczooaX6pBnIXdCV3QdcE7fOmh49ZjIaMQWxeV1ym23SvMbYQSRGKgeg+gPg4R3zNB3r7yn312DVv9mhaSuJCbAKnvn35nhWz4hOrVxNOJ3P2jDhnSKv950S6jE44Z3Aic7YM5C7kmmhrUCmd5BjENa6vIz7tjSlEUoQSgNg+YX3tB7l/01H1uFTl2McHk0RP5wHf4vXJm70bjxAcFEyRMgVp2KYW2VyzcObwRfZuPBLlHiXQRHno2L8N187ewsPdk7TpHMlfLA+lKhWjRIXCOBkpnpnk6zDFyCihf9ATy35j3kc6JkRDfOZQE6qviLx98Z62FXqiKAoWFhZsubyCTNkSLLmhJBoC/AM5sfcs18/f4f2rDygKKEoo9288Jn+xPIyY9VO0yfwk5ospRkMJJUKmHMmlsaktHROSEgnxR7dyzr/qnpcKtUpLAUpEbFPZUL9VTeq3qmlqUyTJgIQYDSWXqUSQKbaTBA9uPWHXhoNq+fs+LeN0/f5NR5k06E8unbyewJZJJEkXU/6QJycR+VrkSMjMURSFeeOWqaOgyvXKUaFm6Vhfv3LOvyyZtgaAfRuPsGTPLIqULmAUWyUSc8ecfvzjOyIyp9eQECSJkZDbBw8CA4NMbYZJOLnvPFdOa3LIWFpaMGD8D7G+9vbl+yybsU4th4aGcvPC3QS3USKRxI/izvbJTlTiitmL0IP7L8iTozX5XNty59ZTU5uTqISEhLBgwgq13Kpbk1jv5FcUhbnjlkbaFZ+Q8b0kEknCEFsxSo6CZfYi5OOj+dH0+OTN8qU7YmidsMTlA4+ubXz/cK6dvc3LJ28AzYbGH4ZFnXE04h/x0/svuHXpXqR2sd29L5EkN5LCD3jY9ziircl5xJSk1oQea5OeJSaJFbrCEIe3n1CPG7apHWV8Moi85+H4njMG2634YwOvnr6hct1y1GpaFdtU8Q/GKJFIjEdyFZ2ImP1ISBe3D54muW9MfwzGGEYHB4dwbHe4kNSJRZpgXbE8tvusevzTbz2w00l3fGDLcX7v/wffVerFA22SPIlEIjEFZi9C+Qu4qCHWb996opcBMTGJOByOaticUFw7cxPPj94AZMiSjhIVisT62uePXqkZWK1trGjRqRGz1v8WKR2429uPDGw7hvPHriSc4RKJGZJSRhVJEbMXIQcHO4pow7eHhISya/spk9oTX+GJ65Tec52pxzJVS8Q6OrGiKMwdu1QtBwUG89nrC6UrF2PzpeWsOPAnvUZ0VEdG3h6fGd5pQryDb0okEsnXkCTWhOrUL8dt7ZP9vj1n+b5jfRNbFDduevjg7+uPx0dvMmfPECtBcXAMFzqvT96xvtf9G485d+SyXl2bcj9QrFwh8hXNTd7CuShXvRQVapZh9A9TcHv7keCgYMb3mcmuDYdo0q4uDmntyeqSOcGjGEskxkSOdpImSUKEyuikcT575ibBwSFxyrCZmDy4/4Ib1x5RoKArxUvmxd8/kFkjF7Fj7X6Cg4IpXCo/c/6diKNT9Cmk37x4rx675M4W6/s/uh15jUdRFG5evMvNi+F7hLLnykqLzo3Yv+mo6oF38fhVLh6/qrap27w64xcNM9v3WiIBKT5JnSQhQi1a1yDDECfc3Tx589qdjRsO0aFzw5gvjCVBQcEEBgZh/5WJs1Ys28mgfrPVcqHCOfHy8uHtG3e17u61hzQq+D1/75oZZe4YRVG4oLNOU6BE3ljbkCFL+li1e/3sLctmrKPf2G68evqWnesOEDGY7eEdJylatmCcwwRFJCgwiANbjnPt7C1c8mTj257NsbNPFfOFEkk0SPFJHiSZKNrTJ69m0u//AJArd1ZOXVhC2rTRjyai4umTN6xfs59jR69w49ojfLUbODNnSUeJkvno0asZTZpVjTLnvKIoHNh3ni2bjvHZ25fGzarQvmN9ShftwlPtqCImcuTOyv/O/G1wau7A5mP81m8WoMn+ufHcErLlzBKrfoODgulU6ydeaNeUHBztWXHwT14+fs3ju894dPspp/ZfwNdH4+BhnyY1G88txeeLL/s2HuHe9Ue8fPJaHR1ZWVvRpkcTylUrScXaZbCyjttzi4e7F790nqCXC6lgibyM+XPwV6VqlqRspACZloSMop1kRMjL6wvF8rfHU5tdtFadMsycPYC0Tg68e/eRF8/fc+rENS5fuk/NWqUZM757pGkkHx8/fvt1Kcv+3kFwcEhM92XM+O7Ub1hBT4zcPngwoO8f7N55Wq+9lZWlXp+WlhaEhGiiFVjbWPHz5B9Jm86RMT9MVdtM+PsX6rWsodePt8dn2lfri4e7JwDterdg0MResXy3NLx98Z71i7bw/pUbHfq3plQl/dxDXp+8+aHhz+qU38Dfe+qNdgIDguhS+ydePH6t/55UKc5fW6ZEKc4RCQ4OYdC3Y7h65pbB8z1/6UiPoVFvwJVIokKKkGlJkSIEsOnfI3TvPDFW1/00+FumzuinlkNDQ2nX+lf27Tkbqa2FhQWWlhYEGYgmUKFSUXr0bEqx4nnZs+sMfy/aykd3r2jv3b1nU8b+/gMH9p4jMCiY7OWKkNU1MwAzf1nA1lV7AY1Qtez6Dd1//p50mZzx+uTNz9+P4971RwBkzJqe9acWYe+Q8Km8t6/Zx/Rh8wHIXywPqw7P0zv/6ukbxvwwlYe39UMlHXryH6ljOW25c90Bpg7R9CuEoGjZgty99pAQHbFu0LomdZpXp1yNkrHuV5KykQJkelKsCAFMnbiKKRNXxnidra01x88spmjxPAD8u/4gPbtNUc9XqVaC3n1aUL1mKTJmciY0NJQnj9+wYtlOli3ejr9/YIz3+L5DfSwsLdiwNnw9pWChnOw+MJvMWdKp7XTdsz+5efJDw595/9ot3FY7W+o0q8q96494ev+FWj9t5a/U+KZSjHbEhdDQUEKCQwjwD6Rp8c4Eal/n6iN/RZoeCwkJYeHElWxYtFWta9axAaNmD4zVvXo2GsKdqw8A6Dq4HT+O6szju8+Y+ctCbly4o9c2XUYn5vw7gfxF83zNy5MkU6TwmBcpWoQADuw7z6oVuzl6+DI2ttZkzZqeLFnTU6hILub/+Z/aztraiuYtq9OpayMG9Z/Ni+ea6afefVsy68+BUU4rvX3jzh8z1vPPsl0Go3fncMnE/MXDqFu/PACPHr7i/NlbOKdzpF6D8tjYWKttDe0Pcnv3kd/7/aFGx46IEIIRs36ieaeEc74ATV6ikd0m4enuRe1mVdm78Yh6LuKUXBgB/oHUztlar27epsmUq14yxvs1L9kF93efABg0sRff9WqOEIIA/0B+7z+LY7v0QwsVLVuQpXv+iMcrkyR3pAiZFylehKLj4oU7NKw9yODUGoCzcxpuPlgfK6eGVy8/8L/1Bzl14hp37zyjYKGcdOvRhKYtqukJTXREtUlVURTOHLrE7FGLefsy3B3b0tKCsfOH0qB1wmbxfPnkNcM6/q46HESk009t6Te2m8Fzr5695buK+utS7fu2YsBv0aeVGNltEif2nlPL2XJm4Zvv6tC2R1McndNw7dxttq/ey4Et4Rtlv+3ZjIZtalFExy1fkrKRAmR+SBGKgfPnbvPryMWcM7AgPnl6Xwb+/F1CmRcjMUVK+OTmydr5mwjwCyBDlvTUbFyZPIVyJtj9P3t94Z/Z/2PT8l3RRtAeNXsgzTo2iPL8yjn/smzGOr3UECsO/EmhkvmivObN83cMaDNGT2RB45E3d+NEipQpyCc3T5qX6KLXrxCCmWvHUaVe+di8REkyR4qQ+SFFKJbcuvGYf5bvYteOU3h6fGHQkHaM/LVLrEPgJASmisANcOfKfUZ2n6xOiYXRoHVNCpbMh71DaoKDQ3BK50jtaFzS1f6uPqBnoyFqeeo/Y6jZuHK017i9dWfhpFWc3HcOX524f3WbV2fgxJ6kz+TM6rn/qdlfw6hcrxx/rPstlq9UklyRAmSeSBFKQphKhJ7ce07vxsPU/UAAJSoUYeCEnnFO7/3+tRvr5m9m14aD+PsFqPWZc2QkrbMj1RpUoEGbWrjmzR5lH4EBQezfdFT1lgujeqNKtOr2DUO+H69XX6VeeWat06+TpCykAJkvCSlCSSJigiRuhIaGMr7PTFWAHJ3TMGxaX+q2qB7rPT5hvHzymp7fDOWzdn+WLu9fufH+lRsPbj5m1dyNjF8wlHota/DF24el09dyYMtxLC0tKFQyPz1/6UjTDvX539/b9DwAT+47h0se/bBErvly0Gtkp3i8colEktQw+yjakrjz7MFLHt99BoCllSULtkylXssacRYggP2bjhkUoIiEBIcwe/RifL748vP34/hv2U68Pnnzyc2TM4cu0q/FCM4duczIPwZEunb9wi165XHzh1CweOxDFUmSH3IUlHKQIpQM8dDZTFu0TEHyFskV776qf1Mp0ibSVHa21GlejUlLRzLh71/Ues+P3vRvOYrbl+9H7AZ/vwB+6TKRp/dfsPv2umjvOXnQnwQGRHaNl0gkyQ85HZcM0V3nCzKwzykuFCyelzXH5rP8jw2EBIdQvVFFqtQtRyqdTK1vX35g0aSVADy4+Vitb9yuLm1/aMboH6bw7uUHQoJDmDb0L2aPMbzGl8rOFn+/AJ7ef8GuDQdp3a3xV9keF7w9v7Dmr/84c/Aifr7+FCtbiMETe5Euk3Oi2SAJJ2K6eknyRYpQMuL1s3ec3HeOjct2qHW6ab3jS1bXzPw6d3CU51t3b8zWVXt49/KDWmdtY8WPo7uQMUt6/t41kyHfj1enCAMjRKNwcLRn/MJhPL3/nIXaaBgHtx5PVBEa2mG83gju3csP2KVOxag5sYsOIUl4pBClDKQIGZnizvZG85ALDAji1IHz3Lxwl0snr6s/8ro079zIKPfWxd4hNfM3T2H+7yu4du4WWXJkovuQ9mTUppXImCU9C7dPY+Wcfzmy8xTvX7lhk8qGIqULULpyMVp1a0yGzOnIld9FFaGXEYKnGpN3rz4YnEI8e+RSotkgkaRUpAglAsYQoo8fPBjYdoyep5kuqexs6flLR+q3qmHwfEKTLWcWpqwYHeX5NGkdGPDbD/w0vgef3DxxdHLAOkLUiSwuGbGytiI4KJhPbp74+vgZPahpUGAQu/93yOC5kOBQg/USiSThkCKUSCSUECmKwpmDF5kz5m+97KsANrbWlKteiuqNKlLjm8o4Z0j71fdLaIQQpI9incXS0pKsLpnU0EKvn701akDT4OAQhrQfz+VThmP4ebh7MrrHFByd0/DtD82+ysFDEj/klFzyR4pQIhL2ZYqvGPn5+DO+70xO7T+v1llaWvBtr+aUqVKcMtVKJPl0CDnzu6gitH7hVkbNHoiNbezi9MWVHWv3RylAYRzbrQmyuu+/IyzaMYPCpfIbxRZJ1IR9X8xdjOLyvTb315KYSBEyAfEVo0WTV+kJkIOjPaP/HEStJlUS1D5T0ujb2upr3L/pKOePXqbRt3Vo3rEhuQq4JOi9Tu47F6muTY8meH705vD2k3r1gQFB/DP7f8xYPTZBbZDEHnMcFcX3gdLQdeb22hILuU/IhBR3to/1H56fjz+71h9Qy43b1eXfs0uSlQAB1GpSheqNwnMoeX705n+Lt9Ghel9+ajWK+zceJdi9ylYrEalOIJi4ZAQrD89j9JyB9BoRHrnhwvGr+HzxTbD7S5IuNz18Enyd15RxJk2JFCEzIDZidHLfOTVuW+6CroyZO9gs13y+FgsLCyYuGcGPo7qQOXtGvXNXztykd5NhXD1rOF14XMnqkjlSXQZtMsICxfLQtEMDug/5Xh2BBfoH8tf45Qlyb4lEokGKkBkRnRDt23RUPa5Qq3S8QvAkFWxsrek6+Ds2XVzG7A2/U6tpFSytLAEICgxm2pB5JETgXd2NtWG8MJBvqcug8NQfO9buj5QVVpJ4mMNowRxsSE5IEUoi6EY+OHfksl7+neSKpaUlleqUZcry0aw6PA9bO1sAXj55w7Shf/Hq2duv6r9ExaKR6vZtPILPZ/0pt4ZtalG8fGG1fPtK5D1FkpRBXJ0PYvonkSJkdkT1R9qsQ3jCuecPX/Hg5hNTmGcy8hTKSYNW4dlmd647QLtKvVk8eVW8R0VV65fnp9966NWlz+yMnb1+lAkhBFldMqnlpO6BmNRJ7JFI2PpPXO+re11U/wxdk9KIUYSEEC5CiKNCiLtCiNtCiEE65wYIIe5r62fo1M8UQlwSQtTUlnMJIRQhxACdNvOFEN0S+PUkO8KESFjoT7+l0o4KUhL9xnajkI6LtKIorJ73H39PXaMKUUhICJdOXufQthN89oo++veRHadYMlU/mV6fMV0NJj100EkHf3TXaUJCQr7mpUi+ksT4sTaG80Fs75sQfcRG9MyB2LhoBwNDFUW5IoRIA1wWQhwEMgMtgBKKogQIITIBCCEKaa+rAawEjmvLH4BBQoi/FUXRDx4miZZtq/cyY/gCtZy3cC5y5s9hQotMQ9p0jizdM4tzR66wdv4mrp+7DcDquRu5cvoGdZtX5/jes1zTOi7kLujK5GWj+Oz1Bc+P3nh5eJPW2ZEKtUqjhIYyZfBcNVp3ans7RvzxE/V1Rlu61G5alS3/7AbgwrGrLJy4km++rYNLnmzqNKEkcTHW/iFz+LH+mtcWnf1RnTPl1GCcM6sKIbYD84FewBJFUQ5FOF8U6AL8BqxWFOVbIUQuYBdwGrikKMpSIcR87fHK6O6X1DOrfi1uHzwoVaQz3t6aP55srpmZvnoseQvnMq1hJiYoMIiR3SZx9vDlOF+bv1ge2vdtxYT+fwCQKVsG5v43iZz5ohf2BRNWsG6Bfu6jDFnSsXD7dHLkyhpnOyQJy9f8kJqD8ERHdK8toWyPy/uXkJlV47QmpBWT0sB5oABQXQhxXghxXAhRHkBRlNtAauAUsChCF9OAoUIIyxju01s7nXfJXSc3Tkpk6qRVqgDlL+DCxSvLU7wAAVjbWDP1n1/p9FNb1XMutjy89UQVIICqDSrEKEAAfX/tRvmapfXq3N99YlS3yXJ6zgyI65STuU9T6RKXdaWvuYcpiHXEBCGEA7AZGKwoircQwgpwBioB5YGNQog8iobI6TMBRVGeCiEuAB2iu5eiKEuAJaAZCcXWxuRGQEAgGzeEDzSnzuyHo6M9xbXlpPDlMSY2ttb0G9uNNj2asOffQ9y7/pg0Tg607dGU80evsH7hZvz9AggKDKZKvfL4+vipU3W6OKVzjNX9LCws+GVGf76v0puQkHDvxMd3n+HvG4B9mtQJ9tok8Se6qayU/p0xR2IlQkIIazQCtE5RlLD5iFfAFkUzn3dBCBEKZADcYuhuCrAJOBE/k1MOx45cwctL86XJlTsrDRpV1DsfFhQ1pX/ZMmfPSPch7fXqCpXMR9fB3+nVKYrCsI6/RZrCq1i7TKzvlT1XFhydHfFw99SrlwJkfqSk70BSJjbecQJYDtxVFGW2zqltQB1tmwKADeAeU3+KotwD7gBN42FvimLzxiPqcfNWNQxuUI1qHlfuRYiMEILxC4dTrUEFQJPwb9CEXpSoUCTWfSiKYtAlXG5glUjiR2xGQlWBzsBNIcQ1bd1oYAWwQghxCwgEuiqx93KYDFyNo60pir27z7Jh3UG13LJ1/PMCRSVE0QWETK5PkY5ODsxYM44AvwAsrSyxso5bDF8hBDNWj2X0D1Nwf/dJrX/+8FWcxEwiMTdM9cAa4zdQUZRTQFQxYjpFUR+xj2dAMZ3ydeRG2WjZqhOmJ3uOjJQtVyia1vEjuj863XPJUZC+xq26WLlCLNk9i9Zlwze6JnSEb4kksTFVlHIpBGaKg84aQ5vv6hjcQJlYyGm9yMwbt0w9zpk/B0XKFDChNRJJ0kWKkJlStFh4RtG3r2Py9UgcpBBpOLnvvJrsDuCXmT9haRk3N3GJRKJBJrUzU0qWDg9Ps3vnGQICArG1tTGhRRqS+zRdTPj6+DF79GK13LR9fUpXLhbNFRKJJDrkSMhM0V0D8vX15+qVBya0xjApMSLwib3neK8dmTqld6T/uO4mtkgiSdpIETJThBB6QtS35wwCtekcFEXh3p1nLF6whe6dJjJ00Fzu3HpqKlNVUoIYPb77TD1u2r4BaWO50VUiMXfM1jtOYjomTe9Dqya/4O8fyKOHL1m/9gBpHOyYPmUNd+8802u7ZNE2WrauycKlv5DGxBsnwzbRJkeCg4LVYxtbaxNaIpEkD+RIyIypVr0kPw8LjwQwoM8sunWaGEmAwti25Tjft/kVP20acFOSXEdEBXQcRgxlZpVIkiKm/L5KETJzuvZoYnBkY2+fiuYtqzP9j/40a1FdrT9x7Cqd2/+mTt2ZkuQoRIVKhjuM3Lv+yISWSCQJhylnLqQImTnZc2Rky67puObMjKWlBblyZ2XkmC7cfLCBdRsn0G9AW9b/N4HfJ/dWr9m/5xy9uk2RkZ2NgGu+7Nil1mRedX//Cbe3MUaqkkiSBGYfRVtiOipVLsbth/9DURSD8eMAhgxvz5fPvsycthaALZuOERAQxJy/BpM1W4bENFeP5LY+ZGlpScGS+dRo3HevPSJjVtO9vxJJUkeOhJIQUQlQGGN/70Gf/q3U8u6dpylbvCsL/9pEcLAcFSUUhXVSjB/fcyaalhJJ0sIUD4xShJIRQgim//ETP/YLF6LPn30ZMXQBNSv34aKJIj0nt7WhOs2qqccHt57A7d1HE1ojkSRtpAglMywsLJj150B2H5hNgYKuav2N649oUGsg27eaJo3T125qNSchK1q2oBoxOzgomM3Ld5nYIokk6SJFKJlSo1Zpzl5exviJPbHTRowODg6hW8cJHNx/waS2xSRGESMxhLU1pwgN3/dpqR7v33zMYI4hiUQSM1KEkjE2NtYMG9GRC9f+IV9+TaqB4OAQfvt1qYkt02BIbOIiLqYUomoNK5LawQ6A96/deP3srclskUgSksReF5IilALIlTsrW3dNV8uPH70yoTUJi8lCjVhZ6gUuvXbutknskEiSOlKEUgg5c2XB0lLzcfv4+BMQEGhii5I+9rqbiOV0nEQSL6QIpRCEEDjrBNuMKvRPUsRUo6HXz9+px9lzZTWJDRJJUkeKUArCxSWTely7aj+GDZ7Hq5cfTGhR0ubN8/fqcbacWUxoiUSSsCTmupAUoRTE8FGd1TThwcEh/L1wK7Wq9uXtm6QfeiaxR0O+Pn54uHsCYG1jRYYs6RL1/hJJckGKUAqiWYtqbN01neIl8qp17999ome3KXh4fDahZQlDYgqR16fw98s5g5NM7y1JdiTWaEiKUAqjTr1ynL64lCkz+qp1J45dpWr5Xrx88T6aK/UJDQ3l9KkbPH/2LubGiUhiCVFwUHiUcplXSJJcSQwhkiKUAhFC8NOgb/XizL188Z5vW45m/Zr9bN96ggP7zvNGm8Y6Ip8+edOt4wQa1RlEsQLtqVvjJ5NvgNUlMYQoKDA8uZ21jRQhSfLF2EIko2inUIQQzJwzkNJlCvLjD9MAuH3riXoMmhBArdrUZPzEnuTOk40vX/wY2HcW//17RK+vC+du07rZCBYsGU6Xbo0T9XVERZgQGesLFKSTYdXKWn6NJMmbmx4+Rnu4k9+eFE6Hzg25f+8Fs2euj3QuNDSUzf8dZdeOU3Tp3pgrl+5z+dK9KPvq33sm3l4+/DToW2OaHCeMlUrC86OXeiyn4yQpgbDvUUKLkRQhCb9N6kntumU4cugyr16+x88vkDev3bhy+T4AAQFBLF28Xe8aa2srsmRNT4dODdi7+yw3tFlGR/+yiCrVSlCmbMFEfx1RYYxR0bkjl9XjQiXzJVi/Eom5k9APdVKEJAghqFWnLLXqlNWrv3D+DsMHz1PFKIxxv//A8FGd1HLfAW1o2mAIt24+QVEUtm85YVYiZAzOHLyoHldtUMGElkgkSRspQpIoqVCxCEdPL2TfnnOcPnUDf78AmjSrSp165fTapU+flpp1ynDr5hMAPn82z0yqCTU19/LJa14+eQNAKjtbSlcu/tV9SiQpFSlCkmixsLCgcdMqNG5aJco2fn4BbNxwWC2XLVcoMUwzGWcOXlKPy9csjW0qGxNaI5EkbaSLtuSrObD3HG4fPNRy23Z1TGhN9CTEouq9G4/U4wo1S311fxJJSkaOhCRfTcR9MocPXop25GRqvnZa7uXj1+pxrgKu0bSUxIV1j1PH3CgedMzra5R+JQmDFCHJV9OocSUqVi7K+bOanDq7dpwyaxEC/RFRXAXpo86oL3P2DAlmU0rEWMIT3T2kKJkXUoQkX42FhQWDh35P+7ZjAVizci9Fi+WhS/fGODjYIYQwsYUJS9p0jrzXRpPw9vgMuU1sUBIiMUQnLjZIQTI9ck1IkiA0blqFBo0qquWRwxaQLX0TypfszsULd0xoWcKTKWt69fiF1ktOEj3rHqc2CwGKSJhd5mhbSkGOhCQJgoWFBavWj6dxvcFcvfJArb9/7zl1qvWnQaOK2NhY4+PjR1BQMK3a1KR331bR9Jh4xHWNqFCp/Jw6oImVd/XMTRq2qcXty/d58fg1Af4BWFpaUrF2GTJnz2gsk5MUSeUHXo6QTIMUIUmC4eBgx/a9sxg3+m8OHbiolzDvwL7zem1PnbhO1mwZadaiWmKb+dWUrhK+L2jnugOc3HcOz4/eem2EEFSoVZpmHRpQrWFFGdoniREmSFKMjI+cjpMkKM7Oafhr0TDuPv6XyzdXkTdf9ijb7tpxKhEtSziKly9Mjtzh6bwjChCAoiicP3qFX3tNo0Wprvz56xIe3X6amGZKEgA5VWd8pAhJjEaBgq5curGKI6cWsHLtWKpWL6F3Pn2GtCay7OuwsrJk+PT+apZagDRp7anbvDotOjeiXPWSeu29PnmzcekOutQZQI+GP7Nl5R4+e31JbLMlX4FcOzIeQlEUU9sQLWXKFlROnPvb1GZIvoLAwCDatR7DoQPh8dYcHe05c2kZOXNlMaFl+sTVVfvlk9fcunSPNGkdIkVOePviPbv/PcTu/x3i/avIeZlsUtlQq0kVmnVoQOkqxfQELTmREn60U+KUXZXMTS8rilIu5pYxI0VIYnTmzdnImBGL1HLRYnlY+s8oiptZ9GljpHwIDQ3l0snr7Fp/kBN7zxIYEBSpTTbXzDRpX4+qDSqSp6BrsspPlBJEyBDJXZikCEm+ioCAQB4/fM3Tp2/IkjU9JUvlx8rKUq/Nu7cfef78HTY2VqRJY0+u3FkjtdElJCSEXTtO8+WzLw0bVyaDzlRbmxYjObBX45jQqk1Nlq0ag42ZZiM1ZhZJb4/PHNhyjF0bDvHg5mODbWxsrclXJDcFS+ajcMl8FCyZj9wFkp4wRSc+Smgovh6eAFjZ2GBpY4PHs+fc2rYTr1evyVKsCCW+bUXqdOkSydrEITkJkxQhSbxZu3ofQwb8iZ9fgFqXMZMzbb+rTZNmVSlfsQhTJ65i7ux/0f3bsLW1pmTpArRoVYPWbWuRwyWTei4kJITWzUZy5NAltW3tuuVo3qo6oaGh/PTjLLXt3IVD6NGzWSK80vhj7HTGAPdvPmb3+oPs33KMz57Rrw/ZpLIhf5HcFCqVjxIVilC9YUVSpU5ldBvjQ5j4KIqCn4cnXq9e4/niJZ6vXuP14hWer17h9eoNwf7+0fZjaWNDkWbfUKR5U9Lny2PSDc9hovnl/XsCvL/gkDkjjtmyYmVri/fbd7w4ex63B4+wsLTExsGeDAXyk7V4URwyRXbRTy5CJEVIEi8+vP9EiUId8fGJ/gcgNlSsXJQyZQuSKXM6rl6+z45tJ2N13fY9MyOlgjBHEkOIAAL8Azm57xxHd53m3rVHvH35PsZr7NOkpkHrmjTt0IBCJfPp/UCHhITw4tFr7t98zP0bj3hy9zkIgXN6R5zSp8UpfVocHFPz6M4zbl68y8cPHmTOnpHaTavSsG1tsuTIyINbT1gxawPeHt4ULVuIDn1bkS6Tc7Q2BQYEce3cLZZuuIDb3Qd4vnxFoE/CvIep06fDpUI5XCuWx6V8WeycnWK8xvfTJz7ce4CdkxOZCheMUsSU0FBubNrG0xOnCPL3x87JCTuntCihoXx+/4Ev7z/wxc2d0KDI06g29vbRvsbMRQtTpEVTCjduiIiw5pfUxUiKkCRebPr3CN07T1TL1WuW4sH9F7x/98lg++w5MpIhgxMfPnjw9o17gtjg5X84ySzCJ5YQ6eL50Yv7Nx9z79oj7t94xN3rDw06NoSRr0gu8hXNjYWlJS8eveLR7af464xy40pqezv8/QIIDQ1V69KktafLoO8oVDI/wcHBvH3xgXcv3/Pu1QfevvzA25fvcY/ibygqbNM4YGFtTUhAIMEBAVjb2ZGjXGmylijGgwOH+XD3vuELhSBjwfy4ViiPa8VyZC5eFEsrzVSloih8fvuO+/sPcWnlWlU4XMqXpcnMyVjaaBxHQoKCODFrLu/v3uPjoyfxeJfiRpFmjak9alik+qQsRFKEJPFi88YjdOukEaHmLauzbuMEQkJCOHHsGtu3nuDEsas8fPCS1KlT0aN3MyZO+VFdB3Jz82Tv7jNs+e8ox45cISQkNFL/GTM5c+HaP3h7fWHn9lPs2HaSC+duq+er1SjJnoNzkkwsOVOIkCE83L24f+MRty7f48DmY7x6+tbUJsUK69R2pM2RHScXF5xcsuPkkoO0LjlwcslOqrRRu+crisKrS1e4u3MPLy9ext8r8j6sMKzsUuGYJQt26ZzxevWaL+8/GGyXr25tynbtgI29PVfWbuD21p1xei22adLgkCUTqdKk4fO793x+9x4lNBRLG2uylylNjnJlsLK1wcftI+9u3+Ht9ZuEBger1ztmz4ZzTldSp3MmX51auFYqDyRdIZIiJIkX+/ac5duWowFo0Kgim3dMi9Tm40cvHB3tsY5mIdzNzZPjR67w5o07H95/4sP7T6R1cqBXn5YUKKif2uD9u088e/YWRVEoW65QtP2aG+YiQrooisK1c7fZtf4AR3aeJsDAqCdDlnQULJ6XgiXykb9YHmxsrfH86IXHRy883L3w9vhMlhyZKFWpKC55s3P55HV2bTjIg5uP+eylec3Zc2WlWccGbF+9L1ZThBYWFmR1zUzV+uXxL1adnrUzkz6TM+uffF3+ptCQENzuP+Tl+Yu8uHCJd7duoxh4APpaHLNno87o4QR8/oK/pycIgUOmjKTJnBmHzBmxtrPTax8SFISP+0fsnJ2wThV5fc7fy4sjU2fx9MRpg/erOXwwxVo1B5KmEEkRksSLUyeu8U29nwGoUq0E+4/MNbFF5o05ipAuX7x9uHzqBj6ffQkMCCJTtvQULJGP9DGs30SFoih4uHni6+NHtpxZsLCwwN/Xn32bjnL51A3c3n7EwtKCrC6ZyOqSmSza/7O6ZCJTtgxRevAlpJt2wJcvvL58lRfnL/Hi/EU+v32nd97GwZ4M+fORs0pFSrRtzeFJ03h0+FiU/RVp1hgbB3vKdGofq7WmuBDo68eh36fw9GRkIRKWFlQfPIBirZvTKZ9fgt43MZAiJIkX27eeoFO78QA0+KYim7dHHglJ9DF3IUoqGGO/kKIo+Ht68cXNHd9Pn0jlmIaMBQpgobOVQFEU7u89wKMjx/F69Ypg/wBs0zqSqWABynXvjGNW42+W9vPw5OXFy3i+eMn9/Yfwfh0eeT193jy4ViqPk0sOWpZxJnuuLGTLaT4buKMiIUUo6cyNSL6a58/Cnxpz5coaTUtJGGHJ76QYmR9CCOycnaIdwQghKNS4IYUaN0w8wyJg5+xEgQZ1ASjaqjm7ho7E/YEmRfzHx0/4+FjjHHFU275MleJMWjYSp/RJM6xVXEkabkqSBOH5s/AF7ZxShOKEbiZWiSS+2KdPR5u//6J0x3ZY2doabHPlzE1+7TVdL4NvckaOhFIQt26Gu6PmzJnZhJYkTeSoKP6ELb6n1DA+uljZ2lKl/4+U7dqR15ev4fbgIZ/fvsPz5Sve374LwJXTN2hZuht1W1Sn94hOSWKKLr7EOBISQrgIIY4KIe4KIW4LIQZp638TQrwWQlzT/musc81MIcQlIURNbTmXEEIRQgzQaTNfCNHNCK9JYoD7915w5tQNQOPJVL5iERNblHSRo6L40zGvb5L0BjMGtg4O5KlZjYq9ulNv3CjaLl3AD8M7qOdDgkM4sPkYHar35eLxa6Yz1MjEZjouGBiqKEphoBLQXwgR9gs2R1GUUtp/ewCEEIW052oA/XX6+QAMEkLYIElUPD2/0KndOLXcoFFFssmsn1+FFKKvI0yMpCDp02Noeyb8/QslKxVV6wIDgvhj9GLM3YksvsQoQoqivFUU5Yr2+DNwF4g6UxlYAqGAAujuSnQDDgNd422tJF6MHbWYe3efA2BjY82IMZ1NbFHyQApRwiCFKBwhBPVa1mDR9umMmPWTWv/i0Su61RvE/RuPTGidcYiTY4IQIhdQGgjL1fyTEOKGEGKFEMIZQFGU20Bq4BSwKEIX04ChQoiowzFr7tNbO513yd3dKy4mSgxw/OhV9XjewiGUK1/YhNYkL6QQSRKKiGLctEN9vT1fD289oXv9wezacJCQkJDENs9oxFqEhBAOwGZgsKIo3mgEJi9QCngL/BHWVlGUAYqilFUU5YhuH4qiPAUuAB2IBkVRliiKUk5RlHIZkmj2TWPh5fWFjRsOMW3SKlYs24lbDB40z5+948XzcNfsFq1rGttEiSTOyNFQZCwtLZm1brxeKnmAKYPn0r3eIBNZlfDESoSEENZoBGidoihbABRFea8oSoiiKKHAUqBCLO85BRgR23tLNHz86MXvY5dRKPd3/NB1MpMnrGRQv9mUKdYlygjWISEhDBn4pxrnrUq1Ejg42BlsK5GYmpQsRFG99oIl8rHx3FIWbp+GjW14Dq5Hd57Rt8UI/H2/PiK+qYmNd5wAlgN3FUWZrVOvK8+tgFuxuaGiKPeAO0DTuJmaMlEUhdkzN1Asf3tmTV/Hly/6IT48Pb/QreMEzp2N/PaPHb2EA/vOh5d/6250e1Mickou4UiJQhSb11yqUjHWHJuvV3f93G3+GLXYWGYlGrEZjVQFOgN1IrhjzxBC3BRC3ABqAz/H4b6TgRxxNzflcfnSPcaPWaInPgUKutKrTwuyZc8AQFBQMEMHztXznlm3eh9/zdmoln8e1p5qNUolmt0SSXxJKV5zb67d4NHsiXStO5AJP/3BkR2n8Ism15dLnuws2DaNMlWKq3V7Nx7B7W3CpFkxFTJ2nJlz49ojqlbopZZ7923JzDkDsLCw4Pmzd5Qv2U3NkjpoSDsG/vwdISGhlCvRDW9vzabKps2rsW7j70kmj09SRG5gNQ7JdXPrhWUrubhidaR6p/SO/DCsAy06N4o2pXuvb4Zy+4om59Lk5aOo3bSq0Ww1RELGjpO/SmZOiVL5aN+pgVr+/NlXFZOcubJQrUZJ9dzc2f+S16UNBXJ9qwpQvvwuLF05WgqQJEmSHPcThQQHc2/zZoPnPD9688eoxXSq2Z8Te89F2hvk6+PHyX3neXjnqVqnhJr3QCIm5C9TEqBP/9bq8fYtJ/D3D1TLNWuXifbaP+cPls4IiYBcFzI+yUWMWmR0V/M2AcxYPZYeQ9uTOUf4BvIXj18zstskhnb4jZdPXvPfsp0M+vZXGhb4nhFdJxKo/Q1Ik9aeckl8ml3GjksClCqdXz329fXn4f0XFC+ZD4D+A9uSK3dWrly6z7mzt7h04S6BgUFYWVky9vcfYhQpiSSpoStESW26rmNeXxQlDRmzpsft7UcAhIUFPX/pSOeB37Jp+U5W/bmRL9qZjHNHLtOu8o8G+xJCMHxGfxydHBLNfmMgRcjMURSF/j/O1KtLZRcefdfKypIWrWrQolUNAPz9A3n9yo1MmZ1JkyZpfUGTOsWd7eXaUCLTMa9vkhGiMPEUQlC/VU3WL9wCwLZVe6havzy2qWzo2L8NTb6vR89GQ3jzwnBG27yFc1GyUlEatK5JiQpJPwakFCEz5tHDV5Qr0VXd5wPQp38r8hdwifKaVKlsyJsvuqhKEmMihSjxSQpCFHEasXmnhqoIXTt3W++cU/q0rDr6FzOGLeDIzlNYWAjKVS9JtYYVqVq/ApmyZUg0uxMD6R1nxjSsM0iNfA3Qum0tVqz5FUvLaKMeScwAKUSmwRzFyNA6lqIoVM3STC2fervDoPNQcFAwCIGVlXl956V3XArg6pX7egLk4pqZWX8OlAKURJCOCqbB3JwXorJFN2Fdanu7KL1XraytzE6AEhopQmbI+DFLqVGpj1q2sLDg8s1VZNQJZigxf6QQmQ5zE6OIHNYJtZW/eB4TWmJ6pAiZGcHBIfz150a9uvETe2JnZzgVsMS8Ke5sL8XIhJhKiKITQUVR2LFuv1pu1LZ2YplllkjHBDPj3duPBAUFq+Wl/4ymXYd6JrRIkhDI1OCmIzFTi8dG9O5cecDT+y8AsEudinpaz9aUihwJmRlnT99Uj0uXKcD3HeujiSErSQ7IUZHpMPYUXWz71h0F1W1RHXsH83OmSEzkSMiMCAgIZPyvS9VyiVL5o2ktSarIUZFpScjNrnEVNZ8vvhzaekItN+vYIJrWKQMpQmbE5o1HeandoOaczpFRv8pM6MkZuafI9MRXkOI7ojqy/RR+2hxAuQq4UKxcoXj1k5yQImRGHD8Wnoa7c7dvyK4TS0oikRiXxHBi0J2Ka9axgZxqR64JmRX37jxTj+fN/peJ41dEiqIrSV7INaKUw8snr7l9WZN+wcraikZt65jYIvNAipAZ4Zozi155xtQ1bPnvqImskUgkCcmlk9fV44q1SuOcIa0JrTEfpAiZEYuWjWD02G446UTF/XngXG7ffGJCqyQSSUJw7Wx4jLiy1UpG0zJlIUXIjHBwsGPU2K5cu7tWFSKPT94M+3meiS2TSCRfyyOdRHQlKhQ2oSXmhRQhMyR9+rSsWDNWLd+/98KE1kgkkq8lNDRULzWDS14Z6T4MKUJmSslS+UxtgkQiSSDOHr5MgF8AoEnVkCZt0k5El5BIEUoCfHT3kl5yyRjpIZd8CQ4OYfOKXYzrPV2tq9m4sgktMj+kCJkpdqlTqeHdQ0NDmTdnYwxXSCQScyLAP5BhHX/jj1GL1Q2qadM50mNYexNbZl5IETJT0qRJTe++LdTyryMX0+HbcRw9fFmOipIhcjSU/Ni6cg8XdDag58idlXmbJpExS3oTWmV+SBEyY6bM6EdJnfhxO7efpPk3w6hVpS87t58iNDQ0mqslEokpOXvksnr8zXd1WHN0PvmLpuzcQYaQImTGWFtbMWVG30i5hK5cvk+Hb8dSqcwP/Lv+IMHBISayUJKQyNFQ8sLPx089bvJ9PWxlTjCDSBEyc2rUKs39Z/+xddd0evdtSapUNuq5u3ee0bPbFMoU68KKZTsJCAg0oaWShEAKUfLBOYOTeuzl8dl0hpg5UoSSAM7OaajXoAJ/zB3E7YcbGDz0exwc7NTzT5+8YVC/2ZQo1JEF8zbho/MEJkl6SCFKHuiG5fnk5mk6Q8wcKUJJjEyZ0zFx6o/cfvQ/xozrhnM6R/Xcm9fujBy2gKL52zNz6lo8Pb+Y0FLJ1yDTgid9HJ3SqMfeciQUJVKEkijp0jky8teu3H64gUnT+pA5Szr13Ed3LyaMX07RfN/z+9hluMmnsCSLFKKky7tXH9RjGaw0aqQIJXHSpEnNoCHtuPVgA3P+GoxrzszqOW9vH2ZNX0fRfN8zYuh8Xr9yM6GlEknywdvzC8f3nOXckcvcvfaQty/e4+vjR2hoKF6fvNm4dAeHt59U2+fM72JCa80bYe57TsqULaicOPe3qc1IMgQFBbNxwyH+mLGehw9e6p2ztrZi+MhODB/VCSsrSxNZKIkrMvuqeREcHELH6n15+eRNrNqXqVKceZsnq5vPkwNVMje9rChKuYToK/m8KxJAIzQduzTi4vV/WLPhN0qUDI9BFxQUzJSJK2nSYAivXn6IppfI+Pj4SYcHEyGn5MyD0NBQrp+/zfShf8VagLLnysrEpSOTlQAlNPKdSaZYWlrSsk1NTl1YwuYd0yhXPjyX/ZlTN6hSric7tp2Mpodw/l1/kKzpmpA1XRNqVPqR3TtPy6gNJkQ6LSQ+iqIw+Lux9G0+gt3/OxTpfKZsGbCxtQYgtYMd+YrkYuDvPfnn4J9yPSgG5HRcCiEkJIQ/pq9nysSVhISER1qoW78c5coXxt7BDnv7VKS2tyNnzixUqlIMa2sr/PwCKJLve9wjODfUqlOGFWvGkjGjU+K+kBTMTQ+fSOIjp+oSh0e3n9KlzoAoz++7t4E0Tg6EhISmiKnuhJyOs0qITiTmj6WlJb+M7kz1WqX4octkXmpzmxw+eInDBy9Fau/k5ECDRhW5eOFuJAECOHbkCh2+HcvuA7OxsbE2tvkSDE/LFXe2l0KUCLi9+xjt+Y8fPHB0TpMiBCihkdNxKYzKVYpz+uJSWrWpGW07T88vbPzfYZ7qzH3/Or47vfu2RAgBwLkzt/h93HKj2iuJGTk9Z3zyFcmlHlvbWDF8Rj9c8+VQz8kkdfFHjoRSIM7OaVi94Tdu33zChQt3ePPKDR9ff3x9/Pns7cOZ0zcjOS7Ua1Ce4aM6YWFhgYtrZsaO0kyRrlm5l8nT+pjiZUgiIEdFxiNj1gy45s3Oi8evCQoMJndBVzacWoSHmycOaR3kCOgrkCKUgilaPA9Fi0eO6qsoCjeuPeLAvvN4e/uQLXsGOndrrHr4DBrSjqkTV+Hr64/HJ28+ffImnU7kBonp0B0RSUFKWNJndubF49cABAcGI4QgXSZnE1uV9JEiJImEEIKSpfNTsnT+KM/nzpON27eeAHDrxmNq1CqdmCZKYkGYIEkxihpFUVg48R8O7zhFNpfMFCyZj4Il8pG3UE5y5s+BlbXmJzI0NJRHd56p12XMlsFEFic/pAhJ4kWx4nlUETp/7rYUITNGjo40YrPijw3cv/GY2s2q8s23dQA4uOU46xZsAeDdyw9cOXNTvSZzjows3zeHdBmdeHj7KZ+1sRjTZ3LGVa4BJRhShCRxRlEUDuy/oJbdPniY0BpJXIivA0NSF6+ju06zfOZ6AE7tP0/GzOkoV6MUF45fjfKa96/cOLD5GN/3acmV0zfU+tJViqvOOZKvR3rHSWJNUFAwq/7ZTbkS3fD45K3Wt/mujgmtkiQGSd0D79zhy3rlDYu3AvqBRTPnyEjXwe302j29/wKAK6fCRahM1RLGMjNFIkVIEisCA4No1fQXfvpxFg+0X0yA3n1bUrFSURNaJklMkqoQPbn3XK989vBlntx7TukqxdU6R6c0/DiqM78vHq7W7f7fIbat3suV0+HTdGWrFUeScMjpOEmsWLt6H8ePhk9dWFhY0LptLcb+/oMJrZKYgoiu4ObuGh4aGqqOaHQZ/N1YsuXMopZ9v2hiI1ZrUJFsrpl58+I9oaGhzBi+QG2T1SUzOXJnM77RKQgpQpJYcU7nSbBp82rMnjeIrNJDKMUScURkzp54715+wM/XXy0LIVAUBff3n3B//0mtL1tNM81mZ5+KBdumMaT9+Eji1bLrN3I9KIGR03GSWJExc3jSvPwFXKQASQwStnZkzGm7kJAQvD55ExwUHKv2J/edV4/LVS/JmLmDSe1gp9cmb+Fc9Pu1m1rOnD0ji7ZPp3G7uqRxcsA+TWra/tCMDv1aJchrkIQjR0KSWJFFN3PrRy8TWiJJKiTk6Cg0NJQ/xyzh0PYTeH36jKIo2Nhak69IbgqWzEehEvnIXywP6TM5kTpNajzcPHn3yo1r526xdv5mtZ86zavRuF1dKtUpy5mDF3B795HcBXNSpV55NQp2GI7Oafh13s9qxHg5AjIOUoQkseLk8evqcZGiuU1oiSSpkRBidGLvOTat2KVXFxgQxJ2rD7hz9UGs+sjikokGbWoBkC6jE007NIjVdVJ8jIucjpPEisePXqnHn73Nb95fkrz53+JteuWI02kxkc01M1P/GUNq+7hdJzE+ciQkiRVlyhZUXbMnT1iJp+cXfp/cC1tbGxNbJkkqfI0X3aPbT9XjzReXk9U1Mx7uXty/+Yj71x9z/8Yjnj96hbfHZ7589sUpvSMZs6THNV8OKtYqTY1vKmObSv6tmiMxJrUTQrgAq4EsQCiwRFGUuTrnhwEzgYyKorhr62YCtYGhiqIcF0LkAp4CAxVF+UvbZj5wSVGUldHdXya1Mw/evHajTvX+vH7lptYVL5GXUxeWyNTFkjgRVyFSFIXq2VoQGqpJxnji9XYZtdrEJGRSu9j8egSjEZPCQCWgvxCiCKgCVR9Q/RiFEGF5pGsA/XX6+QAMEkLIx5EkSLbsGdm0bape3c0bj3n44FUUV0gkCcPHDx6qAKWys5UClMyIcTpOUZS3wFvt8WchxF0gO3AHmAP8AmzXucQSzYhJAXRX9NyA00BXYGlCGC9JXIqVyIuLa2Y1K2uGjE7kySs37kkSnpdPXnNgy3E+vv/EvRuP1foipQuY0CqJMYjTmpB2Wq00cF4I0Rx4rSjKdV3vEUVRbgshUgOngOERupgG7BVCrPgqqyUm4fGj16oAASxeNgJra7msKIkbMa0N/W/xNhZMWEFISGikc6WrypA5yY1Y/4IIIRyAzcBgNFN0YwCDPo6KogyIov6pEOIC0CGGe/UGegO4uGaOrYkSI5PWyQEbG2sCA4MAcJaJ7CTxJCoh2rX+APPGLzN4TSo7Wxq0jj4tvSTpEasVZSGENRoBWqcoyhYgL5AbuC6EeAbkAK4IIbJE3YvKFGBEdPdWFGWJoijlFEUpl0Enyq3EtGTIkJbv2tdVy4cPXDShNZKkTsSoCu9fuzFnzBK1XKhkPnoMa0/lumWp27w6c/+bhEsemccnuRHjSEho5tqWA3cVRZkNoCjKTSCTTptnQLkw77joUBTlnhDiDtAUuBBTe4l5UaFSUdau2gfAE22qY4kkIZg7dqka4y1XARcWbJ2GnX0qE1slMTaxGQlVBToDdYQQ17T/Gn/lfSejGT1JkhCKonDx/B21bGUtvZQkCcOZQxc5tvuMWh4x6ycpQCmE2HjHnULfy81Qm1wxnH8GFNMpX0dGa0hShIaGMvqXRaxZuVetq1JNJveSxJ+wNSFFUZg3frla3+T7epSsKHNUpRSka5MkSoKDQxACvL19+fmnOWz+76h6rn7DCrTvGLvYWxJJRHSdEp4/esULbVio1PZ29B/X3VRmSUyAFCGJHoqisGbVXqZMWMnrV25q7hVdWrSqwbJVY+SmQUm8iOgVF+AXoB7bpLLGwTFpZm+VxA85JSbRY82qvfTvPVMNzxNRgHr1acGq9eNIJeNwSRKIXAVccUqvcff3/OjN4e0nTWyRJDGRIiTRY+Xy3ZHqhBAULJSTv5eP5I+5g7C0lCMgScJhm8qG1t2aqOVTB6TTbEpCTsdJ9LCwCPdBWbVuHM1aVickJFSOfCQJQlSREpwzOqnHMn9PykKKkETFzy+Ad28/qmUbW2usra2wto7mIokkATiu455dqFQ+E1oiSWzkdJxEZeJvK3j+7B0Ajo72VK9ZyrQGSZIVUY2C3r924/KpG4BmFFS/ZY3ENEtiYuRISALAly9+LFm4VS1PnPYjadM6mNAiSWyJKT9PxPA45saOtftVB5hyNUqRMWsGE1skSUykCEkAcPvgQUBAkFr+7vt6JrRGEltikyDupoePUYUoPtlSr527xcEtx3l89zk3LoRH4Wj8XZ2ENE2SBJAiJAEgZ64sermCTp24RqPGlU1slSQm4psyOzbXRCdc8U3TDXD+2BV+bjcuUn3ewrmo26J6vPtNDIICgzh35AqeH72oWLsMmbJFP2rz/OjFqQMXOLHnLO9fu9FjWAdq6nyvFEVJ8Y4YUoQkAFhYWJApk7MqQin9i5HcMJZQxYeVs/8Xqa5stRKM/nMwVmaen2re+GVsXqHZxuCU3pFFO2aQM5/hMJh7Nx5m+vAFBPoHqnXj+8xgxYE/SZfRiUWTV3F420kKlcrPj6M6U7x84UR5DV+DMUbUIuJmRHOjTNmCyolzf5vajGSPr68/OTI2IygoGIBnb7eRPr1Mo5EUMJZYGItGhdrj7fEZgNJVijF8en9yFXAxsVUx88Xbh28KdyAkOESty13QlX8OzsXGVt+F9Pies4zuMSXSZm+AgiXy4uiUhosnrql1lpYWrDw0j7xFchnL/HhjSHjS2NS+rChKuYToX3rHSQC4cumeKkAFCrpKAUpCFHe2V//F1MYccM0bnhPo6plbjO87Uy90j7ny+tlbPQECeHr/BVOHzCM0NDwL7PNHr5g4YLYqQJmzZ+SH4R2w0e61u3/jsZ4AAYSEhHJdZ23MXEiMvxkpQhIAzp65pR5XlimUkywRxSaqsilF6fs+LfXKD2894fCOUyaxJS74+vgbrN+/6SizRixEURR8vvgyuscUfL/4AZAtZxb+OfgnPwzrQJW60Q8c/Hz8EtzmpIB5T8BKEo1zZ8NFqFKVYtG0lCQFYiMwpprGczYwyn7z/J0JLIkbqexs1eMCxfNSuFR+tq/RJHjctnofD28/xcPdS30tNqlsmLJiNE7a11uuRim9nEkRKVK6gBGtN1/kSEgCwMP7L9XjX37+i1cvP5jQGokxuenhY9J1pP2bj+mVLa0saZQEXLNTO9ipxx7ungyf0Y9G39ZW625fvq8npr/M6E+BYnnUcr0W1XHO4GS4b3s7ipUrlPBGJwGkCEkAyJsvfJ7+82dfZk1fZ0JrJMbipocP3h6fObnvPLs2HOT+zceJbsP712565UlLR5IjV9ZEtyOuZM+VVR0Nub39iNvbj4z+czANWtfUa2dja83oPwfRuF1dvXpH5zRM/Wc0js5pcM7gxJApP6rn0mVywtomZcbHktNxEgBmzxtMiUId1fKalXspWiw33zSpQg6XTCa0TJJQXLp4l4nT13Ny3zmCAoPV+uadGjLyjwGJZkeWHOF/T03b19fbN2POWFlZUqRMQa6c1oQYunXpHnVbVGf8wmE0+b4+1y/cJkv2jFSsU5aMWdIb7KNEhSLsurUWFAWfz77MHq3x/P30wZOQkBCzi1Bv7I3OIEdCEi2582RjwM/fqeXAwCCGDJxLmWJdOHbksgktk8QVRVHo0XkiObO2YMjAP/H29uHVyw/Uq/ETR3ac0hMg0ITNcXv3MYreEh7dDam7/3eI+zceJdq9vxbdvTxhkR6EEJSvWYqewzvStEODKAUoDCsrS6ysrXB0TkM6bfRwXx8/bly4azS7vwZjT99KEZKo9OnXioyZnPXq/PwCaN92rFwjSkK8ee3Of/8e4dNHb5Yu3k72DE0pVqA9ISGh0V53ePtJ9m86yovHr41qX7nqJalavzygEcw5Y5YY3E9jjpSoEC5CNy/d+6q+hBDUalpVLR/ZYd7J/IwlRFKEJCquObNw8tzfDP2lA22/q4OTkyaA6ZcvfowavtDE1kliS9ZskZ/EoxKgn8b3YM+ddfRsNISxvafze/8/aF+1DzvXHTCqjQN+76lGR7hx4Q7nkshou2jZcOeBhzcf4xeF23ZsqdMsXISO7jxNSEhINK2TJ1KEJHpkz5GR3yb14p+1Y/nflslq/bYtx9n07xETWiaJLRYWFuw/Oi/GdnVbVKdDv9a8ffkBN508UoqisHjKaqP+ILrmzU6rrt+oZWOLXkLh6ORA7oKugEbY711/+FX9laxUVJ2S++TmyfVzt7/WRKNijNGQFCFJlFStVoL2nRqo5Z7dJjNlwkoCAgKjuUpiDlSpWpw7j/5Hn/6tsLIyvNgdEhzCuaOXWTp9baRzHu6efPrgYVQbW3RupB5fPn0jyYwCCpbIqx4/f/R1U5eWlpbU1hkNJYVNuwmNFCFJtEyZ0Y/82rheISGhTJ20irLFu3L44EVGj1hEPtc29P9xJp8/+5rYUklEXFwzM3POQDx8D/HxywGOnFqgd/7Y7jMM+X58lFNhwsK4Pw+5C7qSXrsG+dnzCyf2njPq/YxBxJhx8aFO83BHjWO7zhAcnDTEOKGQIiSJlgwZ0rLn4BzKVyyi1j1/9o6WTX7hrzkbef/uE6v/2cPg/rNNaGXyJiF+lGxsrMmY0TnmhjroRggwBkIIausszI/7cQaLJq3Ui8NmbgQHh/Dw1lO1nCr1179HJSoUVsXYw92Te9e+boovqSFFSBIjWbKm5+Cxefwxd2CUbe7cfhrlOUn8OXTgAq6Zm1O6aBd27zz9VX3Z2MR+W2DHLo2onDOT0feIdBvyvbomEhIcwpq/NrF15R6j3vNr+PfvbTy++wzQjIJKVCgS/QWxwNLSkhI6D3lJIYRRQiJFSBIrLC0t6d23Fes2TjB4Prvc0GoUli7ezufPvjx6+JLv2/xKs0ZD2bD2AN7ecV8gjmpHfo1apalesxTVapSkRasa7Nw3i0VLf1HPGzPgabqMTizeOUMvbtru/x1K8Pt8LYqisHPdARZPXqXW9RjWgQyZ0yVI/5mzZ1SP370yr+0Qxg52KyMmSOJEsxbVGPf7Dxw6eJEzp26o9U2bVzOhVcmX1KlT6ZWPHbnCsSNXsLCwIG++7BQrnoeixfJQtHgeihXPi2vOzFhEsZZzwMCay4Ilw+nSrbFRbI8tOXJnY/b/JtCo4PcAPLrzjKDAILMIY+Ph7sXejYfZsXa/3v6pgiXy0qFvqwS7j24UiSf3XyRYvwmBsaMmSBGSxAkhBMNHdaJ8xcI0azQMAEdHe75tZ/4BKJMiv03qxc7tJwkICNKrDw0N5eGDlzx88JKtm4+r9WnSpKZIsdwULZZHI1DF81K0WG6sra0YN2ZJpP5LlMxn9NcAMachd3RyIHuurLx+9pbgoGCun7tNuRqlEsU2QwQFBrFw4kq2rNwdKcJErgIuzFw7PkGzwOpGYji09QTla5Siyff1Eqx/c0aKkCReLF+yUz1u36kB9vZ20bSWxJecubJw98lGpk5cydLF22Ns//mzL+fP3ub82djtN7G2iv1PgLEjb1euW45NyzV/V8f3njWZCAUHBTOs0wQuHr+qV2+fJjUtuzSix9AO2NmniuLq+FGoZD5KVizC9fN3CA0NZcbw+ZStVkJvhGRKdD/7hP47kGtCkjjz7u1HdunsZ/ihVzMTWpP8yZjRidnzBnPpxiq+aVIlynY28Zi+soxiD1FEvvaHJzbX12oSHsj08PaT+JjI7X/+7yv0BKhQqfyM/nMQO66vpv+4HgkuQKCZYZi8fDTZcmYBICgwmGtmvnE1oZAiJIkzq1bsVt2Gq1QrQeGiuU1sUcqgYCFXNm6dzO4DsylVOn+k84GBQQauih53t5g3pCZW7qESFYuqC/SeH71pX60PuzYcTJR7h3F4+0k2Lt2hlrsM/Jbl+2bTtH19o4iPLukyOlGgeHj+oYNbjxMUj880qSFFSBIngoKCWblit1ru2bu5Ca1JmdSoVZrjZxezZMUosufIGPMFWiwsLKhctTjfd6yv1h05ZD4x26ysLPlhWHu17P7uE9OG/BUp/5Cx8Pb8oqZWAKjVpAo/ju6CECJR7g9Qony4q/bZQ5fYsGhrot3bVEgRksSJP6avUyNqZ8joRPNW1WO4QmIMLCwsaN+pAVdurWbgkHaxuiY0NJSzp29yXWcz5MxpaymQ61vq1viJjx+9jGVurGnSvj42qWzUcmhoKH6+XxckNLYsnrwSD3dPADJmTc+YuYMTVYAA2v7QlPI6a2GXT99M1PubAilCklhz/epDpk9Zo5Z/HtYeW1ubaK6QGJvUqVMxeVof2sYhPfbd28/03LjfvnHnwrnbNG0wxGB7Y29Y1UUIgaWObVXrlydXfhej3/fh7SdsW71PLQ+Z8iP2aVIb/b4RsbK2okGbWmo5rXOaRLchsZEiJIk148YsUdeCKlUpRv+BbUxskSSMqTP7kSt37FNkh4aGYmmp//V3TOtgsG1irQmFkUVn43PBEonjQq4rQFXqlafGN6bL9hqqk3YjwD/5BwuWIiSJFW/fuHPk0CW1vODv4WaXijglkyVres5eXs6iZSPo1acFzulifoL+bWIvvXK+/DmMZV6c6PRT+MPNzYvGzzYa4BfAwS3he6069m+d6NNwuhTXSZx39vAlvD55m8yWxECKkCRWeHmFPw1nyOhEAW1OFYn54OBgR6cujZg9bzD3n/7HX4uHUb9hBfLkzUaqVJGnTQMCA/lr8TC1vHPbSfz8AhLTZIMULhUewufl0zfq8bMHLxnQZjTtKvemX8uRXDx+LUHud/bIZb5owyBlz5WVUpWLJUi/8SVnvhzqVGBwUDBvk3lWYylCkliRNVt6NS+Nu5sno0cs4rFOLpWQkBBOnbzO+jX7OXP6psw5ZGLs7Gzp1qMJW3ZO5/rddXzw2seL9zvo+1Nrtc20SavJrBP7zMPjM+/ffQI0U3Bh/xKbbDmzqGtW71+5EeAfiJ+PP8M6/c7lUzd4+eQN187eYnC7sfy3bGcMvcWMp45DRvHyhUw6CgK4fOqGukcqlZ0trvmym9QeYyMjJkhiRdq0DnTq2oiVyzXu2X/N2chfczZSoKAr9RtW4Ozpm1y5fF9t7+hoT6PGlWjesjr1GlaQERVMjBACZ+c0TJnRj4P7L/Lo4UuCg0P4e+EWvXZZs6U3ifDoYmNrTebsGXn78j2KovDm+Tse3HwcKbq0oijMGfM3H9640W9s93iLR1bXzOqxqUcdiqKwZFq480/DtrVJncy/O1KEJLFmwpQfuXXjMZcu3lPrHtx/wQMDARe9vX3Y+L/DbPzfYVKlsqFx0ypkd8lEWkd72ndqgKt2Z7gkcQkMDOLRw5dq+fDB8HW+omUL8sDXPDZH5siTjbcv3wPw8skbbus84JSuUgzfL37cv/EYgHULtpAjdza9TK1xwTVP+Ejj7tUHfPrgQbpMccu9lFDcunSPW5c03y9rGyu6Dv7OJHYkJnI6ThJrnJ3TsO/IXOb/PYxvmlTBLkLSM0tLCxo0qhjJS8vfP5Atm47x15yNTPr9H+pU78+XL36JabpEi6fH5yjPdRscu/1GiYFLnmzq8aunb/D2+qKWm3ZowPRVY/XaTx82P973yuKSiUKlNBEoAgOC+G/5rnj39bVcPXtLPa7fupbZxI4zJlKEJHHC1taGrt2bsHHrZJ6/285/26YwcEg7Bg/9nhNn/2bzjmncuLeOMxeXMnJMF4oYCOnz/t0nnj15Y6B3ibHJmi2DwfqCJfJSpX75RLYmalxyh4vQyydv9KfaFIVM2TLQPkIqhXULNsfrXkIIOvUP98g7sfdsvPpJCHx08kS56ghxckaKkCTe2NnZ0qhxZSZP68PEqT9SopRmT4cQguIl8zFmfHfOX12h54EF4JzOkXwFjL8BURIZIQRFi+WJVF+4VH6TL8jrkiOPvgjpBlr189V48PUf152iZQuq9ZtWxH8EU7luOdUZ4tmDlyYLnhoUFJ42IiFTRZgzUoQkRuXQgQsMGzRXr2723EEGXYYliUOGjGkj1dmZ2eJ3xOk417zh6zb3rz8CNKGL5vwvPNPv+1du8Y4zZ2efirxFcgEa54C7Vx/Eq5+vxU4niaGHGYRRSgykCEmMxv6952jX+lc1IVvatPb8b/Mk2soEeCbjpocPFg6Rw9HYpTZuhOi4ks01sxrR4cMbd3IXCN+XdvNS+AZWB0d7ylUvqZb3bzoa73sW0xlV3bx0L5qWxiNv4Vzq8eM7z0xiQ2IjRUhiFPbsOkOHb8ep6QVcXDNz/OzfNGlW1cSWpTxuevhwzd2bfkMX0LfFCI7uPB2pjWs+84iWEIaVtRX5daYNPT96qaL07MFLvD3DHRW+aVdXPT62J/7rOcXKFVKPj+85i6Io8e4rvoSNxgAe3Xma6Pc3BVKEJAnO+XO36dRuvCpAuXJnZe+hP8mbzDfdmSM3PXwICQlh4oA5rPlrE9ejSJRWwMA6kamp3qiSenxs92ny6Ti53LkS7rJdrUEFdc3o3rWH8Z6Sq1q/ghrB+8HNx6qrdGKSI3dW1Qb3d5/0NtImV6QISRIURVEYOXS+usCaJ2829hycQ85ccl9QYhASEsKKpTto1fQXatQawIC2Y2hT7gcObD4W5TW2dra45DU/T6xaOllkzx6+rO4LAnh895l6nCatA2WqllDLJ/edi9f97B1Tk1NnRHhq//l49fM1WFpakqdQTrX8+O7zRLchsZEiJElQLl28q25mtbW1Ztvumbjo7EiXGJeFf21mUP85HDpwkatnbnH55HU+vHGP9prM2TKYZTDa3AVdadahgcFz9mn000vUbBwe9fp4PKbk7lx9QJtyP/Dw1hO1zlTOGvl01oVSwpScFCFJgvLy+Xv1uF6DCuROIXsdzIV1q/fH2MbROQ1z/5ukll8/e4vb2+iFylQMmdqHwqUipzLP4qKfUbZagwrq8eVTN+I8jbV85jo9sc6QJR3NOxoWQGOjuy6UEpwTYhQhIYSLEOKoEOKuEOK2EGKQtn6iEOKGEOKaEOKAECKbzjUzhRCXhBA1teVcQghFCDFAp818IUQ3I7wmiQn54hMeCcEpBSTkMjdsbAzvLbGwtCC3dprH2+Mzwzv9rro9h4SEsnLOv4lmY1ywTWXD3P8m0XlAWwoUz4sQgkIl81GmSgm9dpmyZSBj1vRquX+rUbF2LHhw6wlnD4enOU9lZ8uCrVNNFronX5Hwta9HOtOOyZXYjISCgaGKohQGKgH9hRBFgJmKopRQFKUUsAsYByCECHMxqQH01+nnAzBICCE3iCRjPD6Fh4VJk8a89p6kBCpUKmKw3tLSgqf3wtcXAgOCePE4PAr61lV72bvxsNHtiw8Ojvb0/bUbKw/N5firbSzfPwcbW+tI7XSn7p7efxGrPDz3rj9iWIff1HKhUvk5+HgjLnlM50STWydNykudzyi5EqMIKYryVlGUK9rjz8BdILuiKLqfsD0Q9thhCYRqy7pbsN2Aw0DXBLBbYqboJr7LlwhpmSX6NGocOSOohYUFQYHBBlrrM334Au5pN4KaK1ZWllFGdvhheAe9stu7j3plRVEIDg4hNDSUJ/ees3nFLn5qNQr395r0FXapU/HbwmEmXx+z1dnIbQo38cQmTnEhhBC5gNLAeW15MtAF8AJqAyiKclsIkRo4BQyP0MU0YK8QYkUM9+kN9AbkonYSIjQ0lJM6icaaNq9mOmNSKHXqlSN9Zmc+vvcAIFVqW/y1YW6yuWZm0rJR5MyXg1+6TODyqRt61wb6BzKqx2RW7P8T5wyRoyqYO0IIylQtwZXTmtc1oM0YKtUuQ4vOjXj+6BXzf19BgH8gDo72kUZJadLaM23lr3qRGUxFiE5674gp2JMjsX6FQggHYDMwOGwUpCjKGEVRXIB1wE9hbRVFGaAoSllFUY7o9qEoylPgAqD/yBIBRVGWKIpSTlGUchmS4JchpRIYGKwX+yqNY+Sd+RLjYmFhwU/jf1DLYQIE0LxTQ4JfvWdslwm8e2V4L837V26M+3E6wcEhRrfVGHQa0EYdKXl7fObAluP0bzWKGcMX4PvFj5DgkEgClDFrehbvnEnpKsVNYXIkQkPC33sLM/RaTGhiJUJCCGs0ArROUZQtBpqsB9oYqDfEFGBEbO8tSTqkSmWjtx+oe+eJhIQkzR+zpMpNDx8atK5J+RqlIp1bPGU1vXtM5cypG7x+9jbKPi6fusHiyauMaKXxqFS7LL8vHo5Tesdo26VxcqBaw4r0H9eddScW6q3DmJrQ0PApuJDgkGQ/JRcb7zgBLAfuKooyW6de12+yORCr7cWKotwD7gBN42aqJCkw9rce6vGBveeZP3eTCa1JmQghGPnHANKmi/6HOCK6EanXL9zCA509M0mJei1rsOP6av7cOFGv3tLSgplrx7Pm6Hx231rLjNVj6di/DQ6O9lH0ZBrSpkuDfRrNLMIXbx/evngfwxVJm9iMRqoCnYE6Wnfsa0KIxsA0IcQtIcQNoAEwKA73nQyYV7AqSYLQrkN9Bg/9Xi1Pn7waL52EZBLjoZuWO6trZnr+0lHvfL6iualcrxxtejQxKFBP7z7XG0Ed2XHKaLYmNB/euLNx6Q7OH7sCaGLPVahZmi4DvwUge66sTFs1lqr1y5O3SC6zTpNgaWmp90CwcekOE1pjfGL8JBRFOYW+l1sYe2J7E0VRngHFdMrXkdNxyZZxE35gz64zPLj/gs+ffVm5fDeDhphP1s6UQFBgUKRF7Ue3n9J10LcULVuIBq1rMaLrRDw/hq+P+PkFUKVeOS6euAbA4ySyWz80NJTB7cby7IEmbfmCrVPV9Z0+Y7rSaUBb7NOkNqt8STHRoHUtLhy7CmhE6P6NR7Tu3oR6LWskqdcRG8z3cUCSZLG2tmLgkO/46cdZAMyf+x/dezbF0cymPZIrb19+oH+rUbx7GXkaZ2zvGepxkTIFaPJ9Pb54++Lt+Zmq9StQsERe9fy5o1d4/uiVXjw1c+TV07eqAAE8e/hSz8nA3KbbYsM339Xh2K7TnDpwAYDr5+9w/fwdnj96Rc/hHWO4OmkhRyMSo9CufX0yZdbsOH/39iP5XNrQr/cMPmj3ZEiMQ4B/ID+3G2tQgCJy58oD9m48Qs3GlZm8bBSN29Ulb+FclNH+gIcEh/D3lNXGNvmrOXv4kl45lZnlRooPQgh+/WsIdVtU1xvRrpi1QS94a3JAipDEKKRKZcNvk3qpZT+/ANas3EujuoMJCAg0oWXJm6O7TutFQjCEbnibT26eLJuxjv+W7VQ9GQdM6KmeP77nrNnGlQtjw6KteuWyVUtE0TJp4ejkwMQlI9h6dSXZc2VV629eNE3CPWMhRUhiNDp3/YY5fw0ma7YMat3DBy85uP+CCa1K3pw7clmv7JovB655s5M9V1a++a4Oh578x/Zrq/hz40Q1m+qdqw+YM+Zv/hq/HICCxfNSqrJmCVdRFLP90QvwD2TnugN6gUcLlshLJp2/t+RAhszpqN+qhlo294eCuCLXhCRGpeePLfihd3O+qTeY0yc1O9k/poBEXabA57MvZw5e1KtbfeQvvThrT+49Z9LAOQbD82xcuoMyVUtQ45tK1KlWgmtnbwHw/PJdindtCOh74JmST26e/NR6lN5aEMB3vZqbyCLjkilbeNTw9zGk5khqyJGQxOgIIfQ8ejJlSmdCa5IfISEhDOz3B42LdOCLt2GRCA4KZteGg/zYdHi08eHWL9TsRa9Vp4xa9791B83OzX7igNmRBAigeAXDAVyTOpmyhU+huiUzEZIjIYnR8fD4zGWdKZ3iOh5Ykq8jJCSEkcMW8M+yXQbPu7/7SGoHO4Z0+I171x7G2F/+Ypo0AulKFaBAQVfVzX7f7rMU+aZKDFcbj+1r9nF4+0msbaxInykd549eidSmYIm8ZM+ZPDP4ZtYZCb1+/s6EliQ8UoQkRiU0NJQBfWbh56eJYVagoCvZc2SM4SpJbPD19adF4+GcO3MryjYLJv5DUGBwrASoeaeGDJnSB9DEoKvUsCIP7r8AYNz4FayqVkrdyZ+YvH/txvRh82Nsd//GY149fWPSNAzGwiVvdqxtrAgKDObN83e8f+1G5uzJ43skp+MkRmXF0p1s33pCLf86vnuy22xnKo4cuhStAAEc3XmaU/vPq2ULi/CvfERBuX/jkd5n06LLN6R20OSEevP8HYunrIpXHLPizvZ6/2JDSEgIezcepmvdgQxpPz7W95r5y8JkGWvNxtaawqUKqOXJg/6Mcuo1qSFFSGJUVq3YrR53+6EJrdrWMp0xyYyKlYvFeVQZGqpJE5Ajd1Z2XF/NgYf/qiFs7t94zPvX4dG1s7pk4qfx4bEAN6/Yzdje09U+YouuM0NEx4Zd6w/Qo8FgOtXsT/f6g/il8wS2rd7HgS3HmThgDg9vPeGpdjRmiLLVSpAjd7j78qWT11nzV/KMV9i+b0v1+NLJ6/RsNIS3Lz+YzqAEQoqQxKgE6iRTa9m6pgktSX5kzOjEyfNL6NWnhboxOLbUbloVO/tUODja60UXOLJTP15co7a1cdWJmHBkxymO7ToTZ1tvevhEEqCQkBBmj/6be9cf8eTec+7feMypAxeYMXw+S6evNdiPlbUVgyf1Ztm+2Qya0ItJS0ey9vhCchUIT6C4ePIqfv5+HMf3nImzYJozNRtX0YsH+OLxa8b1np7kI9VLEZIYlTLlwgMxbv7vqAktSZ5kzOjE7HmD2XJtFbM3/E7jdnXp+UtH+o/rHqmtpVV4bpryNUurx3WaVVWPNy3bpZdLKFXqVCzYOlXdNwTwa69prF+0hduX70dpV3BwCE/uPcfXxy/KNg9uPsHfL8DguXdRPOFvvfIP3/VqTrs6pZk0sgNp0zliY2vNykPzKFkx3DPu/NErjOo+hfF9Ziar6bkeQ9vz++Lh6md5+8p9rpy6aWKrvg4pQhKj0r1nM/V4y39HCQwMMqE1yRcLCwsq1SnLr/N+psfQ9tRvFT7qFBaCjFnTE6IVF1s7W0rouDI3bFNLjar99uV79m/Sf1hIn8mZX2b016ub/9sKejUeyn/Ldkay5c7VB7Qu251ONfvTqGB7Xj8z7M21aNLKOL3G1t2bkD6TZsQXNrIKW2OysbVmzv8m0KBNLb1rDm8/qbqdJxfqt6pJk+/rqeWbl+6a0JqvR4qQxKiUr1CYXNo5ex8ff27eeGxii1IG6TM7Y22jWetRQhXa9W6hnitduZjeBtZUqVPxXa/wh4VlM9YR4K8fWilXAReKly8c6T5bV0UOpr/n38O4v9PECAwOCmbmiAUGbYytp10qO1tad29C/7GRR3e6U3ypUqfit4XD+Pfs3zTQmfpdPHkVV88k7dFCRPIWzqUef0zi8RilCEmMihCC0mXCvXq2bzkRTWtJfDAUxcDS0pJyOrmBdMP5GMoi2u7HljilTwtoXKLXL9wcqc2UFaNp+0MzvR/4Zw9ecunkdb12dVtU1ytfOHYVD/fIUTIGTexFzcaVo3hV0KrrN6w/uYgDD/9l2LS+2NnHLjCpS57sjJk7mGLlCgEQEhLK2N7TcU/iP9a6pMvopB5/cvM0mR0JgRQhidFporPmsPCvTbh98DChNckHQ4v9ujRpFz5l8/zhK/U4TVqHSG1T29vRa0T4ovfKOf9y5fQNvTbpMzkzZMqP/LZoONUbVVLrJw6YTWBA+DRr6crFGDShl961//yxIdI9s+TIxNR/xnD63U42X1zOr/N+VqfbAB7efkquAi7xSkBnbWPNpKUjVWH95ObJ2N7TCQ4KjuHKpIEUIYkkDnz7fV1KltJkgw8ICOLfDYdMbFHSJzYx3AoUz6Me+/qGOwhEtYbQvFNDCpXMB0BQYDBjek7jUxQPDEOm/EgaJ42Yub39yNAO43n3KtyZoFW3xnrtN63YFSm4ahhCCLK6ZqZxu7o069hAr/5ryJQtAxMWD1f3Rl0/d5vFSSA1RWxIpyPWH5P4Q50UIYnRsbCwoGef8DWJfXvOmtCapE9MAhQSEsK5I5eZNuQvtc7H21c9PnvoEuP7zMQzQiBZS0tLJi8fTYbMmth+Xp+8mfPrEoP3yJw9I91+Ds+We/nUDXo3HqaKlo2ttZ7zA8DWVXujtVtRFPZvOqaWdRffo+Ptyw9ResCVq1GKXiM6qeX1C7dwbHfcXczNjdQ6U5MBUXgYJhWkCEkShWrVS6rH9+4+N6ElSZuYBCg4KJj+LUcxpP14rkSzGH9w63E61ugfaV9QVpdMjP1riFo+tuu03lSbLu16t6Bj/9Zq2f39J9pW6MmPTYfTqmx3bly4o9f+2tmb0e5peXL3OW+1yfjs06Tmm+/qRP1C0YjW4smr+LZCTw5uPcG4H2fw9oXmet3IDJ0HtqVq/fJqedLAOTHmXDJ3dB1HbFPZmNCSr0eKkCRROHEsPOBkaGjy2beRmMRmCu7E3nORfvz10Jnh8nD35Nee0/it3yz8ff3V+vI1S5HNNTOgWdR/9fSNwa4sLCzoP64HI2b9pNb5+wVw8+Jd3r9yi9T+s5cPJ/aeM9jXyyevGdVjslquWLsM1jbWBtuGcf7oFVbP+4/Q0FB+6zuTQ9tOMKLrRHVvUpgQWVhYMHb+UPU1+X7xY3SPKfj5+EfZt7kT4KcjQna2JrTk65EiJDE6mzceYVD/OWo5VRJ/cjMFsc3jE3FkA1C6SrHwmHEKWNtY6a0pHNh8jF+6TNSb0sqZPzxKwrOHkVMm6NKicyN+HNUlkgOBpaUFFWqV1nMnnjb0L3auO4DPF18e3HrCrg0HmTToT7rUGcirp28BjWi06dE0xtdqaP/PozvPmDRwDtc/fgbChcjRyYHJy0eprulP7j1n5ogFSXYja5COg0VSfQ1hSBGSGJ2jR/TD7r988Z7NG4+YyJqkRUwecBG5clp/Cu70u50s2DqNfw79qYbfCQoMpnDJfDTWWXO5dPI6Zw9fUsu5C+YM7+NAzJlwuw7+jl0317B8/xwWbJ3K+lOLOPJsM3/+O5EFW6eq2U4/e35h6pB51M/7Hd3qDmTK4Lns+d8hdV3DxtaayctHUVonQoMhHtx6orqGW1hY6K1PHdt1hhV/bFDftzAhKlgiH0On9lXb7fvvKAe3HI/xtZkjOXJnVR03Xjx6rRfzL6khRUhidH4e1l71jgtjzMjFSf4JztjENYupn49/JGeDIG3svvxF8zB23s9q/dnDl+k7pitN29dX67av2a8e12leTT0+vP1k9FN8Whyd01C4VH5KVylOrvwu6nSao3MaJi4ZgaNzmmivT5XalkU7Z0S7dygM3cjgtZpWoffIznyrE51jxawNHNl5KpIQNevYQM/hYdHkVZE25iYFHBztKVutBKAJSrtj7f4YrjBfpAhJjE7efNk5ef5vjp1ZpNa9fuXGM+30S3InNDSU8WOW0q/3DK5EE2/ta3lwSz8aRZ5COfUiIxQtW1CNARcaGsqBLcdo92O41+Ldaw/U48Kl8lNI++AQGBBEn2a/RLmeExuKly/MpgvL+HFUZ+zsNekhIrpg+/sG8CyaiNm6pNJZB3Fw1AjMgN97Ul5ng+6kAXN4cOtJuA1aIRo8qbfextxNyyOHHkoKNO/UUD2+cOyqCS35OqQISRIFIQRlyxWifsMKat2eeERjTmo8f/aOtKnqMnvmetas3MtPP86M1XVxHQUZYuxfP0eqq1KvnHr81/jlPH0Q/qPv/u6TuvFRCMGvcweTLqOTup40qvtk1i/aEu0ItnKmJlTO1MTgOQdHeywsLfHTOg4Y6ufckcgZUw3lIMpXNLd6fPnUDUJDQ7GysmTikhFqagd/vwBGdJ3I58++etfap0nND8Paq+VVf27E65N3lK/JXNHNL6S7RyupIUVIkqjoRk9YMG+T3gJrcuP+vRdUKKUf7yxX7mxGu1+xcoUoXaUYqexsmbR0JAVL5IvUJmL4nP8t3qZX1p12y1MoJ4t2TFfD/CiKwvzfVjB92HyDKRJ0xceQECmKwp5/o9+orJtWAgwLEEDxcoXVEdDrZ2+5cFwzEnB0TsOM1ePUZHzvX7mxa3tkZ40WnRvhkkfzWXzx9mHV3I3R2mWOZHHJiI3WyefjB49IU7FJBSlCkkSlfacGZNCGHHn54j07tibPWHK3bjymUd1B+PrquwHPWzQ0xmvjOwqytLRk/papHHi0UW9NRxcvj8965XvXH+mV18z7T6/skic78zZN1tt4umPtfhZPjhx54EvQMfX47Ifdkc6HhITqhQ+KSFaXzDTUiYIdXRZWO/tUNGkfvrazfOZ6NSRPrgIufNeruXruuIEpUCtrK/qM6aqWN6/YxZvnhqN9myuWlpbk0YkD+DiJ7r+TIpTI3LrxmJZNhlO7Wj8G9vuD9++ST1DF2JA6dSp66Cwgnz51I5rWSYcnj1+ze+dpfH39efPajVbNRuAeIabX1Jn9yJAhrVHtEEJgpZM3KCLO6R31yqEh+iOau9ce8tnri/41GdIyb9NkGratrdatnb+JywY+uy9BxwwKEGhctlt2aWTwXOV65ViwbWqUQUoNCVKbHk2xtNT8hN2+fJ9lM9ap5/IVCZ+ue3L/RSQHBYBaTaqoQU6DAoP5e+oag/cO639oh/H82HQ488YvM5tEcrru74/vPjOZHV9D3CMDSr6KSb//w+GDGlfYSxfucuLYVU5dWIqDdvogJeCYNvyH4IV2h3tSxsvrCxVL98DfP5ACBV1xdEzNu7cf9drkzpONbj/EvPclIdaCoqNeyxqsWxB1fh1rG2vVcUAXG1trfp03mMd3nvLozjMAg27B0dkvhGD4jP5Urlue/ZuPEhwUTKasGWjYtjZFyxaM8rowijvb6/WfI1dWeo3opMaDWz3vPwICAqnbvLreCM9C6wARln8orB8hBD+N70GfZr8AmigS3/dpSeEInpwAs0cv5u61h5p+Lt6lUp2yVNBJDGgq9ERI+7kkNaQIJTIZMznplR8/es22LcfpFMUTYnJk5fLwJ+XSpQtE0zJp8PDBS/y1br4PDHh3WVtbsXLduBgfNIwtQKDZK1OsXCFuXbpn8LywEBCF44GlpSXenuGjpILF8+qdj8r+kJAQNi3bxZnDl0hlZ0uT7+sx4e9fwjfQxoGIQtRpQFsun77JRe2a0L9/b+ffv7frXVOiYtEo+ylRoQg1G1fmuDae4fY1+yKJUIBfgCpAYaTL4BRn241BviK51OOkOhKS03GJzPCRnbCLEGbj7OnklXArOvz9A3mk3YEvhOCnwd+a2KKvJ5t2I2ZUTJz6I2Vi8aSfWIyeMwgLC8MRqgP9A7l9xbAbudu7j3x44w5oXKRzFnCJ1CYkJCRSSu8zBy8xd9xSLh6/ysl95xjZbRJdag+INj04RL1RV3dKzcLCgvELhkYKlqp7PixuXMQpvbCyrpv6mUMXI3nt3Ywg2DlyZyWvzo+/KcmjMxJ6cu+5QYcRc0eKUCLjmjMLQ3/poFfn9sHTNMaYABsbK9JoM2oqioKnx5cYrjB/smXPSOEofpQaN61CvwFtYuwjMUZBYeQq4EKRMlGLYlTOA3evho8GCpbMF2ntyf39J9pX7cM3hdrrpf029IT+5N5z+rUcEckxwhCGxEhXUNJldGLRjulM/WcMZaqWIF+RXFSuV47mnRoyc+048hTKGbWXnbM9xcoVVjfSur/7xLMH+mGKdNeaAGo1qfrVaSYSinQZndTcQv5+AYniXBGdw0h8kCJkAho3raJXvn7tQZJ8gokPFhYWlKsQnib6wrnbJrRGn2dP37Ls7+08fxb3L3IBA9lKc7hkYtGyEWbzg6VLxqzpozxnKPMqwJ2r4ZtZixiYRv1r/HJePX1LUGAw88YtVX8QvTz09+DYpdY4H1hZWbHvvyOxTkUQnRAJIajZuDLzt0xh9dH5/LHuN0b+MYDKdcvF+KNZOqMjRXWy/4bFyvP18WP9oi2RokXU1tlmYA7orgs9SoR1oYR+YJIiZAKKlcirtz7w5rU7Z8/cMqFFiUuFiuFTJ2dOm4d33N7dZylesAM/D/iTVk1/iVNIoS9f/CJ5+VlaWrBiza+kS+cYxVXhJOYoKIyoktUBZMuZxWD9Q52IDIbWTY7tPq2WQ0JCObpLU/bWcQsfPWcgq4/OB8DP15+NS3ew8s/o9+iEbYCNzxN4bK9xyZNdPX7+8BV7/j1MvTzfMv+3FXrtHBzt1cR/5kLeJL4uJEXIBAghKKyz4xvgv/8dNpE1iU+1GuG5hf5dfyiSJ5mx8PcPNCguHh6f+a7VaLUcEBAYp9HLn7M2RHLH/vW3HlSOsPHSEKYQIEVRePnEcHoG0Mv2oIe/zohFN700wL0bj9Q4dWGEjZx0RSiNUxqy58pCl0HfqXWr/vw3yvUh3U2vDta1orTZEHERrbDgrgBLpq1h0sA5Btv9vni42Y1sk7qHnPSOMxH5C7hw8Xz4MP/alQfRtE5e1KhVmgwZnXB38+TzZ19+HbmYZavGGPWeM6asYfqUNWTNlp5d+2eTSxvaBeCvOfpP4s1b1Yh1v69fuTEvwvVZsqZn4M/fRXFFwnP1zE2O7T6Da97sfNOuLqkNuFjrcvvyfTU8TxhWVpYEB0e/90XoyFPEnFDuBva7eX3UTMN98Q4XWkdtSvDOA9pydOcpVQyP7DwVKzftiEJUOVOMl+ihu6FWF9e82Q3Wh5HNNTODJvamct1y0bYzBUndQ06OhExE/gieRdeuPuBJEs/2GFssLCwI0dkkuXWzccPpBweHMH3KGgIDg3j+7B2Tf/9HPXf44EVmTlur137I8A4Ru4iS38ctwy/CmkbP3s2xiSEhGyTMKCg0NJRhHX/nv2U7+WPUYn7tOS3Ga7asDHeRt7O3w9rWWhUVIYQa8iYiQtejLsKI0tNA7LWwjafBQeHiFpZzyD5Nagb+3lOtT6wAnFGNpqIToZlrxrHx/FKqN6poJKu+jlz5XVR391dP3ya5ZH1ShExExIXskJBQurT/HS+vpO8tFhvKlgt/6jV2/LjXr9wIDAxPUb1l0zECAjT7eqZFCD+TOUs6MkaYaoqKp0/esGHtgUj1XXsYDuBpDEJDQvVe27kjl6NNTeDh7sXh7SfV8tyNE5m8bKTqGOOSNzupUhuOWqC7ryc0gghdN+BgkjO/5kErRMfpJizCAUBxHbfqxAyZY0iIMmZNrzpMRGR45wlGtujrsLWzxSWvJg6eoig8vZ+0wvdIETIR1WqUxDpCJsrr1x7yXasxuLt7cefWU3p1m8Kg/rPVjZDJCd3NuYqiGDXJ3fNn+ikjAgOD8PikWaeI6B6fSSfjaEz4GnjitLdPRabMse/jqxGCkAjTaLo/9BHZteGgunZTpHQBipUrxIZFW9XzulG2I93KQnc6LlxY7l57yKFtkWMAXjxxDUDPPgvLcLduu9Th++UCAwIjTQdGFY07IYgoREIIvWyyEdF1TzdH8hUOX2NOajHkpAiZiHTpHOlrYP/ImVM3yJ2tJRXL9OB/6w+yYulOVizdYQILjUurtrX00jr07TWDq1Fskvxanht4yrZNZcPJ49d4/Eh/T0zlqjE7E4RRtHgeGkSYovHx8Wffnvjn3YkrT+7p/+DkLZwrUprtMLw+efPv39vUcpseTbh65iZXtZ6ZllaWfPtDM4PXgv5ISNFZEzqy46Sh5rzW5osK0hmpWVqF92FtY016reiHhITqpSMwpgCFEVGIdJPdJTXyFA7PhPvozlMTWhJ3pAiZkHG/96BCpcghRSIyYugCpk1axetXpknh+/7dJ4YOmkv3ThOZP/e/BAneaGFhwYo1Y9W1MT+/ANq3HcsnI+R1iei5ZmdnS4B/IO1aR3aGGDSkXaS66OjVp0Wkup8HzMEnQtSAiMR2PejF49fRTlU9uKmfyO7DGzeD+24e3HpC/1ajVIeEDFnSUad5dVb8sUFt0/i7umR1zRzlvfRHQuEi9OKxYU87m1TWBAUG8UoneWFWl/D+fX389EY/PloHhsQQoDB0hahVt8ZUqBU5HlyO3FkpWCJvpHpzQjdgqxwJSWKNra0N/22bEuVue10mT1hJoTzfUbtaP+bN2YinZ+KtHf02dilLFm1j08YjjBq+kC3/HUuQfp2cHPh3y2TSagOavn7lFslTLSEIi9AQRoaMTqxZuTdSsrMNmybiGsUemaioWbsMqbQ5XcJ489qdA3vPR3FF7Dm1/zzfV/mRdpV7RxlZwD7Ca/vs5cOx3eHJAh/dfsqQ9uPpVneg3qhp5B8DuHf9oRoJ29LSQs9t2hC63nGKdjouNDSUe9cNT1W55s3B0wcv1RQL2VwzqzmAQJPLKCyZXKZsGchdUPM0H1UUbmMRJkQWFhZMX/krjb4NjxaePpMzC7ZNi3J0aS7k1RkJPb77LE773EyNFCETky6dIzv2zqJ6zVKxan/pwl3GjFhEiYIdmDNrg9EjLYSGhrJzm/50y9kzCRfrLn8BF+boZABdv3Z/gn+BnJzS6JXfvf3ImzeRR5W604Oxxc7OlmLF80SqfxLNPhzQpMx+9+qD+gNtiF+6TAQ0U1V7/mc4GVyVeuXV5GxhvHyqufeF41fp+c0Qzh25rHe+ZZdGZMmRiQU6XoINv61D9lzRC7CFgZHQnSsPcItin1fNJpW5pF0XAv1sqK+fvWO1TiK5H4Z10EtFHpUrtbEIG33Z2tlSqU74uljJSkXJmCXq6BLmQhaXTKpXo9cnbz5Gsxn5a0no76cUITMgS9b07Nr/B9t2z2DoLx3o1LUR3zSpgmvOqKdGPDw+M270Ev6Ysd6oti1esAUvL/2pIweH1FG0jh+t2tZSR0NvXrvz4nnCpndwcnbQKwcFBfMxQoZRgBlT1kaqiw0RNx4DvIhiCs3Hx4/uff6glmsrWpftwbg+Mwy20w2RA+D+wXDeKdtUNpGiF2Rz1YjJn78uITBAsx5jYWFBnebVGDl7IB/euNOpZn9uXQ4PzNl1UMyBZN11ftisrDUOBlfPRo70UbV+BQqVyk/1hhX1MpZWqVdePV46fY1qW8ESefmmXd0Y729swoQobC8TwMvHrzmx9xznj10x69GFhYUFeQrpj4bCCA0N5e3LD1w6cY19m45GyhcVVxJ6s655jzFTEBYWFtStX5669cvr1X94/4l9e8+xbvV+zhhIIrZi6U6GjeholF3cfn4BzJn1v0j137aro9r29s1HcuXJStq0DpHaxQZ3dy8WzP1PT+jev/9EzhieyuNCWqfItl28cJd27evx74bwEcacWRvo1acFWaKJq2aIIgZESHcjchiKotCs0TC9czcMtANY+9cmvXJ+A/cAWL9wCwe26O+zqlq/PG5v3dVAnBYWFqw6PI/Hd5/xW79ZkfrIXdBVL2yNIe5ee8g9bToDSytLipXTxP97eOtJpLb5iubm9wHD+aXzBD5rp42zuGSiQeuaAOzbdFTP5p8n/xhtIr7EpLizPd5lCiKEQFEUHt5+yshukwDoPbIz3X6O25phYhAcFMzmf3brpefw18nou2TqGvZtOkqeQjk5d+QyadM58svM/tRuah4x8ORIyMzJlDkdXbo1Zu+hOfQf1DbS+VcvPxgtO+vB/RcihdQZPrIT9g52tGkxkrwubahWsTcFc33L/XuR8+jEhl9+nses6fpRip2d00TROn5EnI4DzftWumxBvR+/oKBg1q7eF+f+C+nMx4dx+9ZTvnzRd044d/ZWJHGq2SQ8mO2zhy/p0+wXqmRuqreuA1CxVplI9wjwC2D+7/qxzTr0a03adI6s13G7LlW5GJdP3zAoQGH9RPeU7+/rz4Sf/lDLleuUVUcLvl8iO2BYWVsy9ed5XNFO2wohGDvvZx7cesKwjr8zoX94XzW+qWQwDUNcQ/QkJI5ODpQ2EHJp+5q4/20kBpMG/cncsUv16tJqYxYqisLmf3bz4Y276jLv9cmbMT9MZcJPf8RrVJTQSwBShJIIFhYWDP2lo8FEYLcieEglBKGhoXqRBUAzAmraohqVyvygt/Du4+PP3dvxcwuNOC3WvlP9SNEkvhanKERtw9oDFCykLyCXLtxNkP5DQ0Mjvbaxo/7WK7fu3kSNGvC/xdvoUK1vpIjNAOWql6SwgajVryLsfwLoMvBbHtx6wiadVAqpHez489clUdr/5sV77l1/xPqFWwzGHls4aZWa3sEudSoGTuylnnM2kK7cz9efwzpu2z+O6ozvFz/6Nh/BmUMX1XrXvNkZMqVPpOsT0zsuKtr3aRmpTnfNypwIS8gXRukqxShWVpO2PDQ0VB0VhQSHqC7xAPv+O0rnWj9xNQ5rvJ4fvVgw4Z+YG8YBKUJJCFtba4PTFteMsJHuwb0X3IkgLF26N+a7VqMjhampXbcsTZrHfWgfGhrK1Qi2165TNu7GxoCTgek40GwOvh1hOsnT87PBtvEhLCoDaJ5Iz58NjyqQJq09w6b1xTaVDesXbmHe+GUG+7CxtWbM3MEGp1vfGXDZf/fajRnD5qthkYQQnNofvaeepZUlPzT8mfm/r2BA2zF6o6ILx6+yaXm4oA2a2IscucLj7n3/Y0s9z7F8RXJFil23Y+1+hneeoNfvN9/VYfmBOWTKlkGNkh32zxyoUr885WuU0qsbOKGX4cYmpqjOA0qDNrWYv2Wq+plYWFhQvVEl9fyMNWP1vP8+vHFn0HdjObD5WIz38fb8Qs9GQ/Q2NycEUoSSEL+OXKwXoiWMdasT3qMsMDCy19amjUcjTf316d+KzTumRYr+EBuePX2LR4R9QdlzxDEiZSywtraiUpVisWpbKhbpxk8cu0qpIp1JY1ObkoU78l0rw8FXdcPnRHQgadK+PgDrF22JNKUWRu1mVdl0cTmZs2c0eN7QD0e3ugP1nBpi83ehG9HA86MXQgh2rN1PlcxNGfzdWPVctQYVaNaxAaBZOynubE/eIrn4a/NkOg9oy9i/fmbxrpk0aFMLW53swW9ehDuaWNtY8dfmKYz9awj2DqnNRnR0Ke5sjxCCiUtH6tU/uBlzAj5TULdldfX4/asPeg8sv/f/A8+PXmTRfq8yZEnPuPlD/9/efYc3Vb0BHP+eLqBltbRFlmwoe5VR9hTZgqgossTNFBQRZKlMBUVUhB8yZamgqAgICAIKMpS9kSGzbGiBzvP7I8lt0iQdkDZteT/P08fck5ubc4jtm3vGexj71TtGl11sTCyjX/+IRdOXJ/k+8z5ZavNZuooEoUxi6pSlzJn1s3FsmRwAcPzYf9y65dotAQKD7LtZ5s22X78x4aM+9xWAAIddi0WtvmW70uLvPmDq5284nERgoZTimeeSXzX/yeQlRqaFf0+c57KT6bD3okxbR4wZMYsxI2zvdO5G3jMFoET71QQE5WXVoUVsufAjY2e9Q2D+AIfXXr9iM2u/d33i10eKBDP346VMGDzNpjxvvjwMndwPpZTdFglValfgtXd70uppUwbvwsUKMHnhKJvszmBKEzT710+oUb8ykDG63Zyp5O9H7rw5Gf3Fm0bZri2uW5rgSo1a1zV+l/b8ddDYgh1g1+Y97N52gItnw2n7bAtjunmTtvWYu26qzQaGn42ezdSR/3M45hN+/orNHbErSRDK4O7di+bNgZ/y7tAvjbJmLULZYTV28djjte97dpozBQoGUiSJ1fMWNav0Yv/e+xuTKlrsER55xPaP7KE0SjkSGJiHdh0acDlR9gRrPV5oTbUktr22KOjkzmTQW8/RqEnCivvzZy+z/NsNdhMvwJRaJXEAKl72Ueau/5Q8AbkdBmiL/TsP88GAT4zj7L7ZGPHZILKZF816enraLF5MjdIVSjBzwgKbMm8fL0ZMe4OAYH8q+fvZbLdtuSNK/Lh6vcrM3/AZvxxcyIKNn7Hkzxn8b9Vkm71vMiLrCRGV/P2oZnUHvX/X4SSTw7pLQFBem3ru2rLHeGyd3eSloc/bvC5/oSCm/ziJKlZZW5bOWMHkodPt3mP7xr+NnIOuzh6RbBBSShVRSm1QSh1SSh1QSg0wl3+olDqslNqrlPpeKZXX6jUfKqV2KqUamY+LKaW0Uqqf1TmfKaV6urQ1WYDWmlkzVvBCt/fp2fU9qpZ/nhlfJPTBVqtehqtXbnLKnArFzy87k6cOcHk9IiPvcTvR3ZWjsZVjR//j6U7D7ysTtlKKEe+9aFP2Us9xabLJXXx8PA3DXnV61wIw+oOU9flPmtKXN9/uSrZEA9UvvtKemlYzvZYuXs+qlVsTv5zc/rk4k2jbjjpNa/DV6ilO73ysffHBXJvUPPfuRDF56HTjD2RcXBwX/gt39nKnatSvzObVtnnvSlcswWfLxxPWLJSw4DY2f6StUw8lDk4WefPloWS5YjxaslCG2wzOGes2BhUINBYDR9+Ltlu/lVFUDUsIQpbsGlcuXSP6XkL3vaM9n3LnzcknS9+nsdUsze/nreKnhb9y+eJVZoxfwI2rNzm0O2HsNpeLv/Cm5E4oFhistS4H1AH6KKXKA2uBilrrysBR4B0ApVSI+XUNgT5W1wkHBiilbHOcCBtzZ6/kjX6f8O3S31j27QabfHEdn2xEseIFjIkISim+mv+uzQZtrjKo38d2qYHyBeZh/ebP7c7978wlft/w9329z7NdW9gc37gRYbe9gitcvHCVs0n8YW7SrAb58tl3QTri65udUe+/yImzy21m8m3+fTddzGMmAGvX/GWzbxKYBu5feaebsX4GTJ/jhLnvOt1CwVr4+Svs22E/gy/xVGlHU6ctcjuZLWh93Rr1K7PxzPfMW/8plWqWs+k6s37sjp1h04N1IKper7LxODUzydJTSOWELccP7DpC/87DaV+5O3eschgGOsnuni27D+//722aP5GwmePMCQsY0Pld5n2ylGmjv+L7eauM53Zu3uPoMvct2c58rfUF4IL58W2l1CGgkNbaeiOVbYBlEYsnEA9obHcKvgz8AfQAbCe1C8N/DrIFBAX7M2xED7x9vOj7SsJajw8mvEqbdq5fcHb82FkWL1xrVx6cP8AuGajF7Vt3HJZHR8cwdfJSTp26QMNGVXnmOdug4+3tRclShThxPOHOYNm3G5jy6YAku6RS65EC+ShVugjHj/3n8HlHa32SkydPTlq2rsMx86LQ06cu8ly3lhQvUZCT/57n3r1ovku0RcXxg6f4cMgXNmV1mtVI8fTf2ZMX223dkFotOjbkyN4TNosbASODgW/OHIyYNgifbN5G91pEzEbjD3NEzEaHW2db7oYy8ljP/agWVtFYI3Rg1+FkznaPslUSgtChPcdsspwDPP5UE4IKBDp9vaenJ8M+7s+OTbuNtD+W1D9rl7t+7NFaqn7LlVLFgGpA4jmfLwCrALTWBwBfYAuQuHNxAjBYKZXk8mil1Mvm7rydVxykV8nKyobYbna3dPlY9h5eSI8X2jB2zFyjvHuv1vQbmHyqlfvhaLU/wNNdmvHOW/Z3Qj4+3tRrUNnBK+C9kV/x3qivmD/nF17sOY5NDnbQLJloH5cb129z5459JuikxMXFMXLYTNq3epPl326we97Dw4NBQ551+vr7vZvcuzthxpTlGm071E/VNRq1CkvReZcvXGHlYvsvB4n1HfWC0+fy5svDstkr6TOyFzN/+cguMaenlydvTXyd4IKmP1jWdzoRMRuTzemW1QIQQIDV2pqoe/azUzOCwPwBBJrHV60DUOkKxen91nMMndw/2Wtk981uNy0dTLvvAk43/XtQKQ5CSqmcwDJgoNb6llX5cExddsboq9a6n9a6htba5mug1voksB1Icv9krfVMrXWo1jo00MFiuKwqPj6eeXN+MY6btQilZava7N93gh++38QF86yX/I8E8OHH/R64jz0uLo65s1eydNFamwFMR9N6Q2uGkDu3H/86SNs/aUpfgh2MZWitbWb0AXyzZL3decUczIjz8UndjLuFC9bw8UeL2bB+Fy+/MJ6rV+2/vDzzbHOnky3ud1be+XMJM5EC8pmmvA566zlKlko6DY5FpZrlaJ3CvGm7/thn172XWLYc2Xj2tY42EwCKlirMI4WD8fT25Ib53+W19m/zxjMjGfDei+T2z0WegNx07NmaxVum07JzEydXT5o7sxyklxtXb2bYHHJtujS3WdQ8aNwrzPttml1y2KSEWN1RWYyYNoiKoSE0M3fXVUjB5J3USFEQUkp5YwpAC7XWy63KewBtga465Z/MOODtlL73w+SnHzaz+ffdgGmc4OVXn6DNY4No0agfLzz/vnFelWql8XXBt5IF81bT79WPeLHnOGpU6mFsLe7o2jt3HKZ3j7E2ZV5enny9dAy9X27v8Prx8fF2ExbmzV5ptPHM6Yts2byHbX/aJsEMKVcUH5/UrU5ft2a78TgqKsbhTq0+Pt4O9/+B+88MHFozxHj87tAviYmJJTAwDz+vmUL7Jxrg7e1FcH5/flg5iemz3rZ5bceerfl46XtE3Ytm15a9DvcBsnbqSPKpkeo2D2Xt95tsElj6ZPfh4tlw4mJsu/Eib9+hZPlirD68mFWHFvHWxNcpXLwg9yMrByD/wLzG438Pn2bpjBXuq0ySFIfMEyfqt6xN5yQ2KHTGMv5lyawQXDCQOk2r88UPE3j1nW5MWTKG6T85Trp7v1IyO04BXwGHtNZTrMofxxRM2mutHQ8IOKC1PgwcxBS8hJnW2mYqb58Bnfll5Vb+2GyftPSwg9Qq9+NvqzGBE8fPMXXyUoAUb1rXqk1dOnRs6PR5T09P6ta3z8HVusUb5Mv5GBVKP0urZgPZm2ivnCbNUp81ITAor83xhLEL7PYLAucZgG+ZE6hu2byH0Mo9ebHH2BRtq/7OiB5G0D586DTfLTUFv8JFgln4zXtcuLaSQyeW0qxFTf6wGtB96sV2vDXxda5cvEaLUk/T78lhfPj2Fw7fw+KS1foP620VrGXPkY3Rr31oHOcJyO0wyajFXxvsu0etORr7SSwrB6Czpy4w6NmRNmXfzMqYOx1XqZMwM/PSufvbADOkSin6jn6BmSs/ou/oFxg3exhe3l54eXsREOxPnSY1XJ5sNiV3I/WAbkBTpdRu809r4DMgF7DWXPZlklexNRZwvqH7Q+i3dTuNWW/Zs/vwZOcmzLfqmrN25vQl/nvAlcsXzl/h20RdY5YurA2/pWymW+ItEhx5M9HaBAtHmR8satVOfrfZxLp2f9zm+HL4dZYs/NXuvO3bHI933boVSVRUNC/3Gs+Rw6dZunidzdosZ0qULMTAwV2M47ff/NxmGni2bD7GXd2N6wkz4ixTars2eM0o2+NkLM7i1NGEO6H4eMd3bqus7gDzBOS22UTOkcTbQFh72APQpYvX6N95uN1+SRf/C8+Q64UqhZYzJvMcP3CSSAdfwlLiudc6UeDR/Dz3WifKpyCDyINKNghprbdorZXWurLWuqr55xetdSmtdRGrMvtMhAnXOKW1rmh1vEdr7aG1nuuidmR61mlderzQhpU//ZFkF1HinGepNWvGj3ZZngsWDOTWrUi+W2o/bmNhGfcA0xql5NRvUIWRY3qnqm5+OXMkf1Iijma3WQec+Ph4xr8/j59WJCTWDKuXcJd262YkC+ausgnuM774nvBLyWcof75HQgC8fu0W8+eucnjeJatp2b45c3Dhv3CbMZ5zDhKSWty+GcHRfY4/c+sUORbV6lbk642fJ3nNT755n4at6jh87mEPQBExG+n35udcdDKtf87kxSyducLYGTYj8MvlS5GSpu5UrTUX0iDFTlqQcZkM4K9tB4xxEi8vT/q/8TRbkpmL7yi3W2ps+t22G8bHx5vuvVrz3dL1REbec/Iq8LDqzgoOTn5hJcBb7zzPb1s+p3uv1ilK8bN924Fkz7F2924UndoNtSu3TiA6sO/HjHt/rnFcIzSEggUTpqx6enny4QT7Te2SmwiwZOFa6lS3DbKOviXvux7JDas/WDFRMYy1ynoAUN3B9gEWW9ftdPqlpHSrx/G2mshRqWY5Js0fabtAIpF3P32DAU+963A2mwSgjfwTfpP1P25xes78T79l6oj/2X2G7pbP6nfy2pUb7qtIKsimdhnA5IkJd0FPdWnGo0UfMTIiODNrxgradah/3zPkcifqpgkKzotfzhx2s9l8fLxtus5uWu0/kpo1SjVrladmrfL06deZ7s+N4cjh007PXfnTH4x6/0Wnzyc2ZNA0hxv+WWa8rft1u0276jWozLPPP0a/VxP2tbl5I8JmphtAyVKFbTa4i46O4ejhMxQoFEi+fHn4YPRsJo6zTXHj4+PNc91a2pTtux5J5O07NtskWLbutlag47MsPGG/a23E5cv8MN5+c0GL6t2eZeSQNmz4+U9KhBQlrFkNPDw8WOlgS/DsObKxaMt0OlbvZZSFBbdha7gpL6AEoI3sux5pzjZg+jLh65fDZtGntfsde0krd63qaUnjlNFJEHKzpYvWsspqA7NBb5rWsvj5Jd0ltWH9LlYs38QTTza6r/dt0Kgqv65OWO517uxlOrZ9225biDbt6vL9MtNiNV+/7Nwx3yWVr1Cc8hWdJwN1pnzF4vy68VNCK/d0mkLn0MFTnDp5IUVrdw4fPMXcr+wTqwLGv803Vruntm5blzFjX6ZhnVeMO4uGjavRul1dPv5osc3rT5+6wIh3ZlCvQRXO/neJieMWGFnEn+jUiB+sFvH5B+Tm8Va16fVSO4f1jrgVmexmYEXr1rYrO79nH6uHj+buNdO/lfL0RFtNHAkqW5pc+YMpXDwn3folbHpYyd+PtQ6+n0yY966RUdlaVlzfcz9MAXYlAUH+xu6qzgIQQPcBT6db3VLCOnmps+zrGY10x7nJ4UOnad6oLy/2HGeUPflUE0Kr9CSnd2N6vdiW0FrlyJnE+MjQtz63G9dJqW49W5E90TelxN1gOXPmoG79hEWo1mu2mrYIva/3BQgIyM2wET2SPMcSmLXW/LXtAFs277Hpjrpz5x79XvuImlV7OXx99RplqREaYj43Yepzm/b1mPLhImNPpOIlCjJ7/rvUCavIE51sA3psbBxTpyzl6Y7DGNR/qs02FtYBqGnzUPYfXcTMOcMIS9SlltO7MWHBbchfKIjXR/TEx8/5ncaZbduJNwcYrTX7lq1gRd9BVgHIg6JhtWxeU+vFnnQtaT8Ave96JN17tebZri3w9vEirHkoizZPp1ajanbnClthwW3wyeZN/sJJ/xFv3LYuzTo0SPKc9BQTHcM1c0YTDw8PAh9J3Tb17iJ3Qunszp17zPjie8aOmUNUVEI316NF8zNj+rfG8bAhXxAf94qx02fu3H522zWcO3uZiWPn8/74V/hjy14unLvCY61q23W1OeLh4ZHsFOSIiLssWrDGOA4MzMsZc1qh8AfcUjy5GXBzv1pJ2/b1GTlsppH6ZtKUvrzW90kAln+30e4OqGq10sadnHVXYUi5oqww54A9cewc+6ymhE+eOoD85pXmn3z+Brt2Hk7VzMPyFYoz5+sRDv/NrbutwoLbQF+IafQUh39ZzfWTp9n/ve1U358Hv0PO4CAKh1bn1vkLnN+d0MWYPW8eWr4/Ev+ij/Jb7IfcuXqNmi90Y3j3KsY5lq48S1C64OnFzDnDmDlnWJbN8ZZWwoLbkC/Y3+nEhJy5/egx8BluXb9NxK1IggsG2mWfSG+XL1w1vqjly+/v8qnUaUWCUDq6ffsOTeu/zuFDCeMh3t5edOnagknjZ5MvX8I3l1tRvzHzy4RFcUOGdWPD+p2sX7vT5prTP1tG2XJFee3FiYApyegvv36cbFfZG30/TlGd//k7IWtwseIF+HvXEQD23ef2DRZlyz2Kp6eH04H/gwdOUr5UF5uyRQvWGEEocYbvGqEhlC5TxAhCBa2+xRYslDABITz8GvesUq/kyJFwN5gvXx4WfjOGNi0G2a0xqh1WgRaP1eL27Tv88vOfPFo0P52facbTXZoZU7CTGysJC25DWDOgWWsAFixYwODBg7l8OWFcISL8Mod/WWPzuurVq/P999/z6KPmlE7tOuNIWBL7ASb1nLD356Wf7TKdW4uJiaVX84Ts9YWLF2Du+k/tdpVNT9bjU8FWk24yOumOS0eLFqyxCUCVq5Ri87YZzJ/zC4888ohRHhGzkY2//W1kfc4XmIdX+3SkSlX7OftRUTHM+DxhR8SrV27Ssd0Qhws1Le7cucfPScz8ccbLO+GbVeEizv+qXb9+m1kzVvDN4nVOF75my+ZDqdJFHD7nzJHDZ4x2Jd4/adr0wVy32prbetuJs/8l/HL6B+QmrF5C2vvfzYs1r1+/zZZNuzlz6iKffjGYPHls72z6v/EMbw/vzgcTXuXv/fP5YeWHPN/98RQHIEe6devGqVOnWLt2LYMGDSIw0P4Px6uvvsqWLVsSApBIc1vDV3Lx7GWbTOeJJc5ucfbkBY7ue7AvZg/qUiYcDwK5E0o3a9dsZ+SwmcZxoybVWP7TRAL8bLNKWxJELrBaa9LluRZky+ZD1WqOFxY2blrDZkLB+XNX+N+XKxj0luOEnV9MW2bTFZgSPj7eNl1OZZPIOt33lQ/58QfTepzw8Ov0HeA40WqVqqWSnCWX2N27USz/bgM9erWxWePj55edsuWK2owZWRbthV+6xrw5Cd12VaqUQill/Pv++cc+pn+2jHfe+sK4K/Pw8LDryki8d5C1B5kt5uvrS/PmzWnevDnjx49n8+bNHDp0iBw5ctCgQQPKlEn7xYLC3v0ElBIhxVxfkVQIt7oTykxBSO6E0tjNmxEM7Psxndq9zZ07ppll/gG5+XzGEHx8vG2yElseX7t2i59WJNypdOvRCrDtYrL+I1nCQbLMdb9utyuzmPvVzw7Lk9rOoEev1ly/djvZc6OjY4wABDBz+g9Or2k96cEZDw/Fu6MTJh98Pc+UUr94iYLkM0+UiIy8x78nzuOfN2GfnB1/HeTkv+dp9/ibhF8yDewXKBhIh06NjNcB7Nx+iLFj5th0C8bHx9tMS69StTQtWtpOCLBw5XRlHx8fmjVrRt++fendu7cEIDcJC27D3ZOpH0+5lsSGielBuuOEjevXbzPhg3lUKvMcX81MGIAuVDiIXzd8StFitt1v1sHou6XrjT+C1WuUpUKlEoDtOIj1N/OAgNyUK1/M5v03/76bSeMW2E0+uHbtFqdPXQQgR45sNtdZsmwsS5Z9wPvjX+GHlZNsMh3Ea23TlViuvOMxpx+W2e49cvrURae7rrZ/ogGenkn/Lxgfr6lVu7wRdLf9uZ9jR/8jIuKuke8NTJnF6zeqahx/NHEhlUO6cvCAabtwDw8Ppk0fTPbsPlSuUsroRrtz5x43bzoftA+tVY6F37zncG+jrLxe5mF35cqV5E+yUr1eZbx9vLnuxq1nMuP0bJAg5HLhl64xcthMKpTqwtj35nL9esLdQ+u2ddmw5YtkN1Cz7orr1rOV8fja1YQV95asBkop6tarRDsHU0XfHz2bwQOmcurkBb7/biNHDp/hplU/d77APBS0+p/13t0o2rSrR70GlZk8aRHvjfrKeK50mSLG5m1gv++RxayZtjO+4uPjbXaHtRYU7M9jjztOG2MRnN+fWnUq0NIqvczC+av5auaPRnArWaow/v656PJcC6o4yIXm4+PNl7PeNq4RFOzvdDFssxahHDt2jDlz5rBkyRK2/bnP5guDhQSgrK1FixbJn2TlkSLBPFX7RdpU6MrJFGQ7TwuxVpsdeqcyC707yZiQi8TFxTF1yjdM+GCesQbFoniJgox+/0U6dm6cbIaDE8fPcd7qG01n814z3yxex0AHM9o6dW5MULA/7Z6oz6TxC+yenz/nFyMRqp9fdjZtm2E8d+7sZapUTdg/5Nc1f1GhUgneHzXbSCNkEVKuqHF3VrBQoN3EgM2/76ZH1/ccLkA9c/qi04Wnk6f259DBkw4zRPj6ZmPm7Hfw88th0/24Z/cxjhxO+EXvas5QkD27D9+vnETrZu9w+LApQ3jBggVZvnw5tWvbLgQd+mZD1q85wm+/2W75ULpkKKVKlaJUqYR/l5yejR3WXWRdHTp0oFevXsyZMydF5/9ilZ1icNfRLN85O62q5pR1strIW5lnSr7cCbnAqZMXaNX8DUYNn2kTgELKFeV/c4bx9/75dHqqiU0Ayund2OG36fVrtxtjGPUbViFv3pyc/S+cV3pPsJvx5ueXnYmT+wKmcQt//1x217MWGXmPmOhYYyxGa22zSd2iBWvQWtttE/DCS+1sxlFyOEiYOXLYDKcZEE6fvui0TkUezc/q9VMdJkOd9HF/mrWoSXR0jM0YV5WqpW22GZ86ZYlxt1W84BNs3ryZ8ePHM3XqVPbs2WMXgMDUPbdkyRIee+wxo6xFixZMnjzZ7lzx8FFK0b9/8ruROuJsbVFay2U1ozPxEoaMTO6EUigi4i5b/9jHtj/3Ex5+Da1NGQVu377Dsm9+s0n6WalySd4e3p12HeonO5aQ07uxzXjQfqtMya3b1gVM4z+O1tPUqlPBWGiplKJDp4ZOU9iAaVp1uQrFeGtoVzq2NS2EtB6vOXzoNHt2H6OQVVqX4iUK8uHH/YiKijHW9Zw4fo6dOw4RWrMckZF3GdjnY3buOGz3fhaLFqyhUKEgKlctjaOdcgsVDqLHC234Ytoym/Kpk5fQtVtL/jsTbvPvW7FSSZtgf/NmJIcOnqRscdMsvMDAQIYOtU9omlhQUBCrV69m8+bNXLx4kY4dO+LtnXm6MUTaCix0Fk8vT+Jsurm8mL5iItPGzGZPEol24+Li8PRM38Wifpn0TkiCkBP37kWzfdsBft/wD5t+/4ed2w/Z9Lk64unpyciRIxk2bBheXvf3T2sdtMa9N5dNG3dTJuRRcuTIZsyusziw/1+b/9kfLWo/dmGtbMijeHh4UNVqe97E+/r8tfUARazWAHV8sjE+Pt74+HjTqXNjvjVv2jb+g3ksWzGBTz5awpJFa5N83y2b9rBl0x68vDzpO+Apho/qZaQM2rB+F5cuXqNZi5pGELIEuwvnr3Bg379Uq9gVX19f7twx3Qn26mab/DMsLIw2j72RZB2cUUrRsKHzjfnEw6twUFuq163Ejk27AQhtUIUR094gqEAgg8e9Svem/Zy+Ni42Pt2DUK7cmfNOSLrjzOLj4/lr2wE+HP81bVsOonBQW9o8NohJ4xew7c/9yQagMmXK8OeffzJy5Mj7DkAA7TrUNx5HRNxl9S9b+XTKUpsA5Gvuugq/dJ33R83m+vXbaK1Z/cu2JK8dHR3L0SNneP2lhO15rbfR9vHxpniJgox9b65RduF8wqSCIcO6G12Kv676i107D7M9mY3YrMXGxvHJ5CXUr/Uy27buZ9GCNbRv9SYv9RrHiHcSxqoC8uWmT//O7D2yiHq1XsLX15c33nAcZLp06cIvv/widzAiTfR85iWb46ACpqnPpSoUd7oXE4BPEuvK0kpOq3HaiCRmfGY0D/2d0JnTF/l63mq+nr862ZxhFSuVoGHjapQuUwRfn3JEREQQGxtLaGgoDRo0cMkfwqbNQ3m935N2XVMWHh4edH6qibFx2uRJi5g5/Qc+mPBKsvvwbP59NzUq2SYObdGylrGup37DKvy2zjYtUIBV91lIuaJ06tyYZd9uAGDSuAVJjkPlyePHOyN7cujAKXbtOGR0NR45fJoWjWy/RVqmUpvepxgTPupj02353nvvUaZMGWbOnElUVBSVKlWid+/e1KuX8u0khEitDh060KdPHwD+2bqf6KgYI8A0bluPTavsv/jVdFOSWOuJCRKEMrioqGhW/vgHv67+i0Vf/+p0s7CyZcvStGlTmjZtSqNGjQgKSpu599bjQkopJk7uy8uvdeTokTPcuxvF2l+388fmPeTIkZ133u1O3QZV+Hbpb8a4yO3bdxjQx3EuuMpVShEefp2LibYoBtM6HeuxpqCgvNxIlKqkdqJEo091aWYEoa1/7OO98a8Yx4ndvBnJiKEzGD6qF598NpB5s39h+NvTk9w0D6BHt752kzY8PDzo3r073bt3T/K1QrhSoUKFyF8oiEvnLhMXG8elc+EUKWFaHF7ayVq5V97plp5VNOTMnbAXVcRtCUJud+7sZaKioileoiBKKe7ejWLvnuN8t3Q9Sxev5/q1W9SsVc4mAAXky02rNnVp3KQ6rVq8TqFC9pkI0kriCQolSxWipDkTQsfOje3Of+PNZ212CnUktGYI8xaNYvb/frLZPrxp81Be7dOJCxeuMOD1KUb50sW2m6DlC8xD+46264++XZKw9XfJUoV45tnm9Hv1I8dtypmDiIi7jH73f5z97xIfT3uDDm36M3z4cBYvXmzzbx8cHEyxYsXo27cvzz//fJLtEiK9bA1fSYFH8xvZCM6fuWQEodu37HPLeXp5UvDR/OlaR4tc0h3nPlpr1q7ZzoK5qzh18jyRkfeMhZX5AvMQEJCbE8fP2W0qtvufYwTky031GmXp3rM1rdvVJVs2H7ctREwciJLy9vBuNG9Zk8Vf/8r/rLJtW/tx9WRy5fLlnRE9KF2mCKdOXqBm7fK0aFkLpRSPNxvg8HUWYye8aje4ar2eZ+eOwxR9pIPD1+Z/JID8+QPYa942YdaMHxnYbxwVKhRj4cKFTJw4kTNnzlCmTBmHiTuFcDfL72LegNxGWaTVMomD/xxN/BJ6v/kcefPZzwBNDzkz6cSETB2ELMFn/PtznU4RvnrlJlcdpNIoVqwYvXr1okePHhQtmnQGg/SUmgDYpF5Tom6XcBiE6tatS4GA1uZrwiu9H7M7Z88//9qVWWtUryc5vUNsysaNnUr79u2JijJ1BVpPlQ4MDDTSneTJHcgnH39J06ZNjed37NhBhQqm7r3ChQtTuHDhlDRTiHRnCUBxcXGcPn7WKLeeyHPAvK2JResuzekx0H07rebMYz0m5DwDeEaTKWfHWYJP0wZ9eLL90CTXqFgopShbtizdu3dn3bp1nDhxgpEjR2aoAHQ/mjRpQoMGCV1mnp6evPbaa6xZsyaJV5mUKFHC6XNDhgwhJCTErvyxxx5j3bp11K5dm2zZTItWc+XKxRtvvMHSpUuN844ePWoTgADjfCEyMuveiKUzVxhpeDw9PShZrhi3zOOmp6zSWAHUalQt2Ywoacl6inaE3AmlnRPHz9H31Q/ZsmmPTXm2bN70erEtnZ9pRrZs3lQs8zR58uTh6NGjREZGEhISgq+vr5OrZl7ZsmXj999/5+DBg9y+fZtSpUqluHvr2WefZe/evXble/fupVKlSg5eYVK/fn22bduG1pqrV6+SJ08evL29iYmJIX/+/Fy6ZD/L0M/Pj5YtW6a8YUK4QeLu8M2r/zIex8XF07nWi2it8fL2IjZRYt6P3v6CZh3qp/v6IItsObIZi2ujo2KIuhdNtuw+yb/QzTJNEIqPj+fLz5cz+t1ZNl1APj6m4DNi2DSHEwnKli1rV5bVKKWMbq7UGDJkCPny5eOzzz4jIiKCFi1a8PLLLycZgBK/r3XA8/b2Zs2aNYwbN47Vq1fj5+dHmTJlCA4O5vXXXycgICDVdRQiPSUely1SvKBNZgTLZJrEAQhMdx9fvD+XfqN72z2XHpRS5Mrjxw1zouPIW5EShFwlMvIuXZ8eabO1taenB71fbs+gt54z0rWI1PHw8OCll17ipZdeSv7kFKpSpYpNt5wQmY11IAprHsrPi5POCGLtz3U7XBKEbt2IIHfenMmfmEjuvLmMIHTj2i0Cgv0fuC5pLcOPCcXHa57uONwmAFWoWIKNf05n8tQBEoCEEC5nmSDUoGVtKtUsZ/Nch26PU6ux/YLUclVL88o797+OLTY2jlmTFnJs/7+0Kf8cfToOZefmPcm/0Ip10Am/kLo9kdwlw98J/XvinE326IGDuzBizAv4+HjLni5CiDST07sxDQrBto0tmD59Oht3raFSzXLUaVqDDlUTMo/4B+bl2+3/w9cvx32/l9aaj97+gh+/XsMPC1YRFxfPP3/uZ+/2kXy2fBxVaqesu71oqcLs3rofgKN7T1CnSY37rlN6yfBByDoAjf7gJQYPeQ6QTcWEEOnD19eXwYMHM5jBbA1fSVycbR7JOk2r31cAOrL3OD/MX41/YB5++3ELZ06cA+Ba+A3jnLjYOKaOnMXsNY4zoiRWvloZVixYDThex5QRZfjuOIuRY3pLABJCuFVYcBs8PT1p/kRC5vW//9zHiYOnUnWdG1dv0v+pd1mxYDUHdh3hzIlzRlfa4081Yc66qca5h3cfM6aFJ6d8tTLG470pyPyfEWSKIDRmzBjGjJzldCM4IYRIL2HBbejapxOenqY/n5fOXqZf5+Fcc7KpoyMLpn3HbXNguXzRlNex95vP8tzrnXhnSn/KVipJ8bKPGucf25/0wnKLYmWLkM8czG5cvcmuLakbU3KHDN8dV6BAAUaOHOnuagghhKFn8wEcm3ySj4ZOJ/peNDeu3uTLcfMZ9knSqbDAtNxk3Q+bjOMaDarQb3RvSlUoTtAj+YzyiqEhxkLZUa9Ool3XlpSpVII8/rmIvH2HS+cuU6hYAaLuRVOzUVX8cvoad2lLZ5qyqPy6bCO1G1d3cetdSznLIJ1RhIaG6p07dyZ/ohBCpLPJi0bzZtcxxvGsVZMpXz3ptYkHdh3hpdaDAcjtn4uf93+Nl5f9Atej+/+l92MDHe6qbFmUWqlmCPt2HCZ/oSDmb5hGrjw5ObT7GL1bmvbf8vXLwc/7F5DdN/uDNNNO3fxtd2mtQ11xrUzRHSeEEBlR3eY1qd+ytnH88fCZdomSrcXGxvHZe7ON4/otazsMQABlKpbgg1lD8Q/Ma/dckRIFATi85wQAl85d5ruvfgYgpEopHi1pWrh/J/Iuf6zdkbpGpTMJQkII8QD6v/ci3j6mkY0Dfx9htZP9tQDmTF5sZGDw8PCgU49WSV67Ueu6LN/5FePnDKdjz9bUb1mbCtXL0rRdfdo825zCxR4xzl06cwV3Iu+ilKJFp0ZG+ZplGx+gdWkvw48JCSFERla4WAGefa0T86d+A8AX78+hYas6NlsrgOluxXIOQO+3nku26w5MOeEatQ6jUeswu+diY+PoEvYy589c4tb122xZ/RePPdmYlk825qsPTXuIbfttF/fu3HN5l5yryJ2QEELcp7DgNgB0H/AUQQVMkwquXb7Bstkr7c7dun6nMb5Trmppug948GwvXl6etOzcxDg+vNe0f1fh4gWNtUuxMbGcOnbW4eszAglCQgjxAMKC2+Drl4OXhnQ1yv5cZz8Oc+3yDeNxzUbVXJZtu0ylhC1ZjpiDkKVrziJvvtx2r8sopDtOCCEeUFhwGy41umwcn7Xagdgih19Cd9jNa7dc9t7WC1R3bz3Ay23eZP/OhD3WWnRsxCOFg132fq4md0JCCPGAtoavtBkDioy4Y3dOiZCEDTSPHzzpsvcOKhBoJFnNlt3HJgBVrlWeIR/2cdl7pQUJQkII8QC2hpvGfy5fuGqUBTrYQqFoqYTt7M+ftt/48UH0H/MiJUKK0vbZFkZZu+ceY8qSMfjlytibeUp3nBBC3CdLAAI4f+ai8fiRIvntzr13J2EzTuuuOVeoUKMs8377lL3bDxEQ7E9YsxqUrVzKpe+RViQICSHEfQoLbmMEogtnEu5uCj5qH4ROHDplPLYsNnUlT09PqoVVpFpYRZdfOy1Jd5wQQjwAyzTtG1aTDRztaGqZPg1QukIJu+cfVhKEhBDiAYUFt7GZmHDsgH3W6+tXbhqPvbxdMz07K5AgJIQQLlCjXmXj8dZ1O1ny5Q82z1epVd54/P28VanegyirkiAkhBAuUKpCcZvN7j4dNYs13yXkkWv2RAMCgvICpnVCr7Yfwr+HT6d3NTMcCUJCCOEiwz8ZQJXaCXc8Hwz4hJ2bTRvL+frl4L0ZQ/DNaUqnE3n7DrMmLXRLPTMSCUJCCOECYcFtaFy0ExtWbaFChQoAxMXGMeb1j7h1/TYA1etV5qOFo4zXbFz5J1vW/OWW+mYUEoSEEMKF/P39WbNmDcHBplQ5V8OvM/eTpcbzVetUpKrVNOq3e3zAxDenERcXl+51zQgkCAkhhIsVKlSIzz77zDheNvtnm/Gftya+bmTd1lqzYsEavv5sWbrXMyOQICSEEGmgc+fO1K1bF4CY6Fj6dhrGP3/uA6B42UeZs3YqRcw7oALMGDf/obwbSjYIKaWKKKU2KKUOKaUOKKUGmMufMh/HK6VCE73mQ6XUTqVUI/NxMaWUVkr1szrnM6VUTxe3RwghMgSlFDNnziR7jmwA3Lh6k/5Pvcu3s35Ca01AUF7CmtWwec218OvuqKpbpeROKBYYrLUuB9QB+iilygP7gU7AJuuTlVIh5ocNAev0reHAAKWUzwPXWgghMoEKFSowZckY/APzAqaJCh8Pn8HUEf8D4OJ/4TbnXzx7OfElsrxkg5DW+oLW+m/z49vAIaCQ1vqQ1vqIg5d4AvGABpRV+WVgPdDjgWsthBCZRNU6FZn968eUq1raKPvmfz+yd/tB7lolNQXTFuAPm1SNCSmligHVAKdzCrXWBwBfYAswPdHTE4DBSqkkc1YopV42d+ftvHz54ftQhBBZS/5CQXyxYiI1G1Uzyjav3kb0PQlCKQ5CSqmcwDJgoNY6yW0Btdb9tNY1tNa/JSo/CWwHnkvm9TO11qFa69CgoKCUVlEIITKsbNl96PxCW+N45+Y9+GSzHZ04f8a1+wxlBikKQkopb0wBaKHWevkDvuc44O2UvrcQQmRmlizbANXqVsTDw/Sn7+i+f8lmnrRgsWXNX9yJvJuu9XO3lMyOU8BXwCGt9ZQHfUOt9WHgINA2uXMB4vXtB31LIYRwK0sgypnbzxgb0lpzbL9ttu3LF64y/YO56V09t0rJ3Ug9oBvQVCm12/zTWinVUSl1FggDViql1qTifccChZM9yywiZmMqLi2EEBmPJRDVbVHTKHM0BrR8zi9cSDRrLitLyey4LVprpbWurLWuav75RWv9vda6sNY6m9Y6v9a6ZRLXOKW1rmh1vEdr7aG1nuuidgghRKbw9Evtyedg0zsLrbVN9u2sTsZlhBAiHfnl8uX1ET2TPGf1t7+htU6fCrmZBCEhhEhnLTs3oUKNsk6fP3PiHIf+OZqONXKfTBOEZFxICJHZWcaFPDw8eGPsK5jmfTm26tvfnD6XlWSaIAQSiIQQmZ8lEJWvVoa2z7Zwet7a7zcREx2TXtVym0wVhMAUiKx/hBAis7EEoleGdccvl6/Dc25dv82f63amZ7XcItMFISGEyCoCgvLSa3AXp8+vfgi65CQICSGEGz3RvRW58vg5fO6PtTu4eS3JLGmZXoYPQg/JLEUhxEPK1y8H7bs97vC52JhYNq/els41Sl8ZPghdvux8k6ec3o3TryJCCOFCYcFtjJ/xQz7Gx8fxVmt7tx9K8joLTzgeU8osMnwQunjxGjExsXblEoCEEFlFkSJF+Oqrrxw+t2+n8yBkCUCZORBl+CAUFxvH5IkL+WjiQm7digQkAAkhsp7nn3+e+fPnU6ZMGZo0aWKUnz52ll+X/55sBoXEgWjbhl18OW4+p4+fTfFr3EFl9NQQSimjgkOHd2f4qF4ShIQQWV6XLl1YunSpcVyuammGTulH6QoljLLEQaRryTsAXL9ykyeq9SAm2tSL1H/MizzzSockF8emRt38bXdprUNdca0MfydkLTAor7urIIQQ6WL06NHkzJ0wa+7Q7mP0aNqfZ8Je5ufFax2+xhKUcvhmMwIQwKejZvH9vFVpW+H7lKmCUM/ebZI/SQghsoCQkBBmr/2EVk83xcvbyyj/79/zjBs4lb3bDzp83cITvmT3zU7DVnVsyj8dNYur4c4nerlLpghCvr6+3Lp1i3w5H5OuOCHEQ2Fr+EoKFyvAiGmDmL9hGrWbVLd5/r2+U7h14aLT1w+fOpDsVju3Rt+L5tORs9Ksvvcrwwchf39/rly5Qq5cudxdFSGESBdbw1faHBcrXYSPl7zH179/jk82bwDOn77I8lf7c+3UabvXLzzhS648Oekz6gWb8rXf/85fG/9Ou4rfhwwfhEqUKEGOHDncXQ0hhEgXiQOQtRIhRfngf0Px9jF1z0VevsIPfQdx55p9N9vCE7506tna7g5qSLf3uHLpmmsr/QAy/Oy40NBQvXNn1k/iJ4QQybEEqJ2b9/B29/e5e+ceAGUea06L0cMcvqZlzrO0r9zdpiy0QRWmfvvBfc+We2hnxwkhxMPMkn07tEEVPpg11Cg/vuF34mIcb/uwJqIw4+cMtynbuXkPf67dkXYVTQUJQkIIkYlYAlFYs1DyFw4CID4mhmsn7ceGLBq1DiOkammbsnlTvwFM3XaWH3eQICSEEJmMJRCVq5IQWP7b4XzYYuEJXwo9+ohN2aG9J1hwNJvdeelNgpAQQmRCYcFtqFK7gnG846v5nPpjq9Pzr/jaBqG46BhuXbjIvZs3iQi/TFysfY7O9CBBSAghMqmxgz4md6GCAMTeu8cvb49g//IVDs/NGRxoV7bq7RF81aoj8554hnntn+b4bxvTsroOSRASQohMys/Pj+3rfyNXAdNdjo6P5/ePpvLn5zPR8fE25+YMDrJ7/bWTp4zHd2/cYO3ocfz377k0rXNiEoSEECITK1u2LIt//ZDgkLJG2T8Ll/DrqLHERkUbZfkrlIdkpmTHx8aycaXzLr20IEFICCEyuTYVn+ffnbsoVj/MKDu+fgM/DnyLe7duA5ArfzCFqldN9lpn/z2fVtV0SIKQEEJkAX5+fhzfuJmKnToYZRf27GPt6LFG11xI65YOX+uVLWGW3JVLV5N8n6h70Uk+n1oShIQQIovw9PRk73ffU7fvK0bZmW3b2fPNMgCK1bPNrB0UUoaaL3Sn3SeTjLIrF5NO6XPNxZm4JQgJIUQWopTij2lfUq3rM0bZzjkLiI2KIubuPaMsW+7cPD37S2q92JM8BQsY5WfP30jy+vfuRrm0vhKEhBAiC/pkQhdym4NL1O0ITvz2O9etMm77Fy1iPM7h729MWrh7/TrzDno6vW6egNwuracEISGEyIK8fbzp+kLCGNCBFT9z82zCpIO8jyYEIQ8vT3I9kt84/uPT6Sw4YptNwSJPgGu31ZEgJIQQWVSbZ5rh6WW6q7mwdz83z1qtAUq0g0KFDm2Nx/u//5EV/Qcze7ftWiMADw/Xhg0JQkIIkQWFBbchINjfZpvvfzdtMR7fu3nT5vyqzz1NycYNjePzu/fy9TPdGDj8Ozb8/AexMaa0PlcuJj17LrUkCAkhRBYVFtyGDt0eN45vW20HfvfGLZtzPb28aPnBSGq/1Msou3fjJttnzWV47/E822EM84/4MH3lKZfWUYKQEEJkYf2eHGZMULB279Ytu7JLh47w345dDq9zbtc/3Lt5i13zF7q0fhKEhBAiC/Pw8OCdfv3tyu/dSOiOi7l7ly1TP2fZy305v3uvw+tU6/oMp//YyuUjx1xaPy+XXk0IIUSG06dPH6Z8+hGXLySM50Tdvk18XBzn/t7NhgmTbbrqAPIULkRwSBmK1gujWN06RISH891LfV1eNwlCQgiRxeXKlYvvliynUaNGRpmHtzdH16xj/dhJNjPlitQKpfGQN2y68KJuR7DqnVHE3ruHq0l3nBBCPAQaNmzIxIkTjeOSTRqyYfxHRgDKlisXzUYMpd3HE20CkI6PZ91742ynd7uQ3AkJIcRD4q233iIgIIDIyEimr15JfFwcAPlKlaDdx5Pwyxdg95qdc7/m1B/b0qxOSidasJTRhIaG6p07ne+dLoQQIvWCCwYaY0RPzpjGI5Uq2J1z9cS/LOn+kt3CVmCX1jrUFfWQ7jghhHjIbA1fyc3rt43jvct+IPrOXbvzds792ghABapUwsfPz+V1kSAkhBAPka3hKwFo8URCdoRjv67n2xde5fLR40bZtZOnOP7b78Zx9ee7EB0Z6fL6SBASQoiH0JAP+1D28RbG8Y0z//HdS33Yt+wHtNY2d0HF6tVJ0a6s90MmJgghxEMkLLiN8fjwqidoPvIdfv/oE2Lv3iM+JoZNkz/l7K5/+HfjZuO80F7duLBnf5rUR+6EhBDiIbbuvfE8PftL8pUuaZRZB6BH69TCv1gxVg4ZnibvL0FICCEecgu79ODJLz8loHgxm/JsuXJR6amOQNrNopYp2kIIIQD4ad8CZoybz+njZ4n0zcfZHX8Tc/cuxeqHEX7kGHcuX7Gc6rIp2jImJIQQAoB2lboRONW0YPWt58dw8q5p2vapLVtRns63/H4Q0h0nhBDCYJm4cPniNZtybc6u4GoShIQQQtgIC25D4zZ10+W9kg1CSqkiSqkNSqlDSqkDSqkB5vIApdRapdQx83/9rV7zoVJqp1Kqkfm4mFJKK6X6WZ3zmVKqZxq0SQghxAP64oM5BATltSvPnjePS98nJXdCscBgrXU5oA7QRylVHhgKrNdalwbWm49RSoWYX9cQ6GN1nXBggFLKx1WVF0IIkTY8PT15/RX7/YM8vbxd+j7JBiGt9QWt9d/mx7eBQ0AhoAMwz3zaPOAJSx2BeExz+pTVpS5jClY9XFFxIYQQaWvIkCHkz5/fpizyyhUnZ9+fVM2OU0oVA6oBfwH5tdYXwBSolFLB5scHlFK+wBbgrUSXmACsUkrNTuZ9XgZeNh9eU0qdTE09M7FAwLWfcMYm7c3aHqb2PkxtBcjuqgulOAgppXICy4CBWutbSimn52qt+zkpP6mU2g48l9R7aa1nAjPN77vTVfPRM7qHqa0g7c3qHqb2PkxtBVN7XXWtFM2OU0p5YwpAC7XWy83Fl5RSBczPF8A05pMS44C3U/reQgghsq6UzI5TwFfAIa31FKunfiRhfKcHsCIlb6i1PgwcBNqmrqpCCCGympR0x9UDugH7lFK7zWXDMI3vfKOU6g2cAZ5KxfuOBf5J4bkzU3HdzO5haitIe7O6h6m9D1NbwYXtzfC544QQQmRdMi4jhBDCbSQICSGEcBu3BCGl1BvmFED7lVKLlVLZlVJLlVK7zT+nrMafnKUBumt1/m6lVHd3tCUlnLS3qlJqm7nuO5VStazOz4rtraKU2qqU2qeU+kkpldvq/EzbXqXUAHM7DyilBprLUpvSKlO0FZy29ynzcbxSKjTR+VmxvR8qpQ4rpfYqpb5XSuW1Oj8rtvd9c1t3K6V+VUoVtDr/wdurtU7XH0zZFk4COczH3wA9E50zGRhpfhwCfAj4At+Yy4oB+9O77q5sL/Ar0Mpc1hrYmMXbuwNoZC57AXg/s7cXqAjsN9fdC1gHlAYmAUPN5wwFJmb2tibT3nJAWWAjEGp1flZt72OAl/mciQ/B55vb6pz+wJeubK+7uuO8gBxKKS9zA85bnlBKKeBpYLG5yFkaoMzEUXs1YLkbyEPCv0FWbW9ZYJP5+bXAk+bHmbm95YBtWus7WutY4HegI6lPaZVZOGyv1vqQ1vqIg/Ozant/NR8DbAMKmx9n1fbesjrHj4RtVl3S3nQPQlrrc8BHmKZ1XwBuaq1/tTqlAXBJa33MfP4BTH/ItgDTrc4rmeiWr0H6tCB1kmjvQOBDpdR/5uffMZ+fVdu7H2hvPu0poIj5/Mzc3v1AQ6VUPmVKVdUaU7tsUloBRkorMm9bwXl7HXpI2vsCsAqydnuVUmPNf6u6AiPBde1N951Vzf3jHYDiwA3gW6XU81rrr82nPEvCXRDgNA3QCa111TSsqks4ay9QC3hDa71MKfU0pgXBzSHLtvcF4FOl1EhMC52jLa/JrO3VWh9SSk3EdGcXAezBlHU+qddkyraCtJdE7VVKDTcfL7R6TZZsr9Z6ODBcKfUO0BcYZS5/4Pa6ozuuOXBSa31Zax0DLAfqApi7bzoBS91Qr7TirL09zI8BvsUUlLICh+3VWh/WWj+mta6B6UvGCbfW0kW01l9pratrrRsC14Bj3H9KqwzPSXuzLGftVUr1wJT1pas2D4ZkBSn4fBeR0JXuEu4IQmeAOkopX/P4TzNM20OA6Q/YYa31WTfUK604a+95oJH5nKZknV9mh+1V5izrSikP4F3gSzfW0WWs2vUopi9Qi7nPlFaZgZP2ZlmO2quUehxT/sv2Wus77qyfqzlpb2mrU9oDh135nuneHae1/ksp9R3wN6ZbvX9ISAHRhZT/T11SWU3jBmZrrT91WUVdJIn2/gNMNd/93SNh6wpnMnt7X1VKWTY5XA7MSeZSmaK9wDKlVD4gBuijtb6ulEptSqvM0lZw3N6OwDQgCFiplNqttW6ZxDUye3s/A7IBa03fs9imtX41iWtk9vbOUkqVxTQJ4TSQVFshle2VtD1CCCHcRjImCCGEcBsJQkIIIdxGgpAQQgi3kSAkhBDCbSQICSGEcBsJQkIIIdxGgpAQQgi3kSAkhBDCbSQICSGEcBsJQkIIIdxGgpAQQgi3kSAkhBDCbSQICSGEcBsJQkIIIdxGgpAQQgi3kSAkhBDCbSQICSGEcBsJQkIIIdxGgpAQQgi3kSAkhBDCbSQICSGEcBsJQkIIIdxGgpAQQgi3kSAkhBDCbSQICSGEcBsJQkIIIdxGgpAQQgi3kSAkhBDCbSQICSGEcBsJQkIIIdxGgpAQQgi3kSAkhBDCbSQICSGEcBsJQkIIIdxGgpAQQgi3kSAkhBDCbSQICSGEcBsJQkIIIdxGgpAQQgi3kSAkhBDCbSQICSGEcBsJQkIIIdxGgpAQQgi3kSAkhBDCbSQICSGEcBsJQkIIIdxGgpAQQgi3kSAkhBDCbSQICSGEcBsJQkIIIdxGgpAQQgi3kSAkhBDCbSQICSGEcBsJQkIIIdxGgpAQQgi3kSAkhBDCbSQICSGEcBsJQkIIIdxGgpAQQgi38XJ3BTICpZQCGgPBbq6KEELcr3+01kfdXYnUeuiD0F9/fasbN65FsWKFKVEm0N3VcYmLd6PdXQWX+eeqj7ur4DInwpW7q+Aysf/edncVXCL2XLi7q+Ayt2/swStnaeIijz+itb7k7vqk1EMbhJRSJZ5+utWJyMi7TJs2gooVyxARc97d1XKJfdcj3V0Fl1EnfN1dBZe5ccjT3VVwmaiNF9xdBZeIij7s7iq4TJR3PuLvniU++upF7zyViL21P6fWOsP/MXjogpBSKt/AgT2uhIVV45VXnqFp0zB3V0kIIR6YUgpP3yJ45ChIXMQJlHfeCO+AWsRe3+GltY5zd/2ceWgmJiilsk+a9JauUiXkSmhoRbZsWSQBSAiR5SjliVeuMvgEN0XHRqC8A2J9ghpp89h3hpPl74SUUh4LFkyKq1IlBKUU27Z9Q/bs2dxdLSGESFPKwwfvvFXQsZHE3NyHR7b88UqpGlrrv91dN2tZOgitXz9P16lTlb//Psj69XPJl8/f3VUSQoh0pbz88MlXh/jo68Te3LPL068Y8XdOF9Nan3Z33SCLBiGlVMXWrRvty5XLj4ULP6JEiSLurpIQQriVh48/PkGNibt7AR17+5RX7nLE3T4coLW+7s56ZakgpJQq1Lt357NNmtRm1Ki+1KpV2d1VEkKIDMUzRwE8sucn7s4plHfea97+1Ym98U92rXWUO+qTpYJQ27ZNzp47d4lffvmfjPsIIYQTSnng5VcCD58gosPX4+Vf8x7glokLWWp23M8/b/Bt1KgWdeo8zaJFPxEfH+/uKgkhRIaj42OIubGXmKtb8Q6oSez1HW6LBVkqCGmt7w4d+pHas+dw0F9/7aF+/efYuPEvd1dLCCEyBK3jib19lOjw9SgvP3TMNe/oy5uU1lq7q05ZqjvOQmt9BVNKuFKff77w2JQpc5gw4U3Kly/l7qoJIUS601oTf/cssbcO4pmjEDrmRq6Ya9sj3F0vyKJByEJrfRxQW7cu1a+9NpqyZYszZkw/ChSQPKVCiIdDfNQVYm7uwcMrNzrmesGY6GsZKudSluqOcyYs7Bm1adMOj1atGtKmzSuMHj2NiIgMn1JJCCHuW3zMbaKvbCH21kF01OUKsRHHldY6QwUgeEiCEIDWWnfs2Ef9889Bn6CgAOrVe5aZM5cSGxvr7qoJIYTL6LgoYq7vIubaX8TfPdsk7u45pbU+6O56OfPQBCELrXVMnz5j1N69R/KcPn2eOnWe5qeffsON43JCCPHAdHwssbcOEn15Ax4+gejoK55a643urldy1MP+x1cpVbhXr07/nTjxHyVKZ42xomtRWefu7vitrDNsef5GhswfeV/izt9xdxVcIu7qDXdXwWXuRvyLp28xYm/udtvC0/vx0AchC6VUMeBF4Hs3V8UVOpI12gHSlowqq7Qlq7QDoL7Weqq7K5FaEoSsKKV2aq1D3V2PB5VV2gHSlowqq7Qlq7QDMm9bHroxISGEEBmHBCEhhBBuI0HI1kx3V8BFsko7QNqSUWWVtmSVdkAmbYuMCQkhhHAbuRMSQgjhNhKEhBBCuI0EIUApNVspFa6U2u/uujwopVRepdR3SqnDSqlDSqkwd9cppRx9Dkqpp5RSB5RS8UqpTDP91Nn/U0qpfkqpI+Y2TXJX/VJKKVVEKbXB/P/SAaXUAHN5pvtcnLXF/Fym+VyUUtmVUtuVUnvM9R1jLs90nwlk8SzaqTAX+AyY7+Z6uMJUYLXWurNSygfwdXeFUmEu9p/DfqATMMMdFXoAc0nUFqVUE6ADUFlrHaWUygwpOmKBwVrrv5VSuYBdSqm1ZM7PxVlb8pO5PpcooKnWOkIp5Q1sUUqtInN+JhKEALTWm8wZEzI1pVRuoCHQE0BrHQ1Eu7NOqeHoc9BaHwJQKnOlvHHy/9RrwARLShWtdXi6VyyVzFmXL5gf31ZKHQIKaa3XQub6XJy1BXiJTPS5mDegs+wF5G3+0Zn1d0W647KWEsBlYI5S6h+l1CyllJ+7KyUMZYAGSqm/lFK/K6VqurtCqWEOqtWATL9dcaK2ZLrPRSnlqZTaDYQDa7XWmfYzkSCUtXgB1YHpWutqQCQw1L1VEla8AH+gDvAW8I3KJF9blVI5gWXAQK31LXfX50E4aEum+1y01nFa66pAYaCWUqqim6t03yQIZS1ngbNW34q+wxSURMZwFliuTbYD8UCgm+uULPO4wzJgodZ6ubvr8yCctCVTfi4AWusbwEbgcffW5P5JEMpCtNYXgf+UUmXNRc2ADLuZ1UPoB6ApgFKqDOADXHFnhZJjviP4CjiktZ7i7vo8iCTa8gOZ6HNRSgUppfKaH+cAmgOH3VqpB6G1fuh/gMWYBixjMH0r6u3uOj1AW6oCO4G9mH65/N1dpwf5HDCl2j+LaUbQJWCNu+v5AG3xAb7GNIvpb0wznNxe12TaUR/Q5v+fdpt/WmfGzyWJtmSqzwWoDPxjbsd+YKS5PNN9JlprSdsjhBDCfaQ7TgghhNtIEBJCCOE2EoSEEEK4jQQhIYQQbiNBSAghhNtIEBIinSilnlVKDXdQfkoplSkWRwrhahKEhEg/jwOr3V0JITISyaIthBPmJJergS2Y8ortAeYAY4BgoCumxY7FgQKYEmEOMp/bCjgHtNNax5hX61cF/lZK5cO0mDUI2A4oq/f8ASgCZAemaq1nKqV6AxW11m+Yz3kJKKe1HpSGzRciXcidkBBJK4Vpj6bKQAjwHKaV928Cw8znlATaYNqT5mtgg9a6EnDXXA6mjM17tGl1+ChgizYlmf0ReNTq/V7QWtcAQoH+5oC1BGhvznsG0AtTMBQi05MgJETSTmqt92mt44EDwHpzINkHFDOfs0prHWMu8yShy836nMeBVebHDTEFK7TWK4HrVu/XXym1B9iG6Y6otNY6EvgNaKuUCgG8tdb7XN1QIdxBuuOESFqU1eN4q+N4En5/LJuhxSulYnRCLizrcx4DnrS6ll2+LKVUY0zJKMO01neUUhsxdcsBzMJ053UYuQsSWYjcCQmRxpRSeQAvrfVVc9EmTONJKKVaYdrLBiAPcN0cgEIwjS0BoE3bcxTB1B24OL3qLkRakyAkRNprAayzOh4DNFRK/Y3pDumMuXw14KWU2gu8j6lLzto3wB9a6+sIkUVIFm0h0phSahYwS2udOKik9jo/Ax9rrde7pmZCuJ8EISEyOPMGZtsxza57ys3VEcKlJAgJIYRwGxkTEkII4TYShIQQQriNBCEhhBBuI0FICCGE20gQEkII4Tb/Bzal1ZCsgTfYAAAAAElFTkSuQmCC\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",
    "\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(annual_pr_mm['longitude'][:], annual_pr_mm['latitude'][:],annual_pr_mm,\n",
    "                 np.arange(1,35+1,5),transform = ccrs.PlateCarree(),cmap='YlGnBu',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, 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",
    "#ax.add_feature(cfeature.STATES)\n",
    "plt.title('CHIRPS Annual mean precip rate in mm/day')\n",
    "\n",
    "\n",
    "#plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/bd_pr_chirps_annual_mean.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b6d9b2b3",
   "metadata": {},
   "outputs": [],
   "source": []
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  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5a8000ea",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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