Vizzuality/landgriffon

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Water impact \n",
    "\n",
    "The water footprint is an indicator of direct and indirect appropriation of freshwater resources. This term includes both consumptive water use (the blue and green water footprint) and the water required to assimilate pollution (grey water footprint).\n",
    "\n",
    "Advanced frameworks consider both water performance in the direct operation as well as the indirect water footprint in order to fully understand how a certain business relates to water use efficiency and the exposure to risk.\n",
    "\n",
    "The indicator provides incentives to improve water use efficiency through all sectors, highlighting those sectors where water use efficiency is lagging behind. \n",
    "\n",
    "We derive the total amount of annual, crop-specific water use from the blue water requirements of the Water Footprint Network (WFN) data layer. All calculations are performed on the grid-cell level  which comes in a resolution 5 minutes by 5 minutes (~10 km by 10 km).\n",
    "\n",
    "Datasets:\n",
    "\n",
    "- Global water footprint by crop (1996 -2005) from Water Footprint which is splited by:\n",
    "    - Blue water footprint for agriculture\n",
    "    \n",
    "    Link to dataset: https://waterfootprint.org/media/downloads/Report47-App-IV-CropWaterFootprints-RasterMaps.zip\n",
    "    \n",
    "    \n",
    "- Harvested area and production for 42 crops [MAPSPAM](https://www.mapspam.info/data/)\n",
    "\n",
    "The water impact is calculated for each commodity following the formula below (which is also presented in this [doc](https://docs.google.com/document/d/1IDuYWOllQ2fTf2ZeBUmOtEZpqht2rqMot3G9W3CjEjE/edit?usp=sharing)): \n",
    "\n",
    "    Water impact  (m3/yr) =(blue water footprint (mm/yr) * 0.001 (m3/mm) / All  irrigated crops production (t)) * (Harvested area (ha) / Total Harvested area (ha)) * Volume (t) \n",
    "\n",
    "As an alternative and for comparison we also compute the water impact as:\n",
    "\n",
    "    Water impact  (m3/yr) = blue water footprint per ton of crop (m3/yr t) * (Harvested area (ha) / Total Harvested area (ha)) * Volume (t) \n",
    "\n",
    "# Table of Contents\n",
    "- # [Setup](#setup)\n",
    "    - ## [Library import](#import)\n",
    "    - ## [Utils](#utils)\n",
    "- # [Data import](#data)\n",
    "    - ## [Vector data ](#vector)\n",
    "        - ### [India](#india)\n",
    "    - ## [Raster data](#raster)\n",
    "        - #### [Water footprint](#footprint)\n",
    "        - #### [All crops production](#crops)\n",
    "        - #### [Irrigated cotto production](#production)\n",
    "        - #### [Irrigated cotto harvested area](#harvested)\n",
    "    - ## [Merge datasets](#merge) \n",
    "- # [Compute water impact](#impact)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='setup'></a>\n",
    "# Setup"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='import'></a>\n",
    "## Library import"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import xarray as xr\n",
    "import rioxarray as rxr\n",
    "import cartopy.crs as ccrs\n",
    "import geopandas as gpd\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.colors import ListedColormap\n",
    "import matplotlib.colors as colors"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='utils'></a>\n",
    "## Utils"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "def da_plot(da, gdf, color_list, values, title, x='x', y='y', xlim=(65,100), ylim=(4,40)):\n",
    "    # Define the colors you want\n",
    "    cmap = ListedColormap(color_list)\n",
    "\n",
    "    # Define a normalization from values -> colors\n",
    "    norm = colors.BoundaryNorm(values, len(color_list))\n",
    "\n",
    "    plt.figure(figsize=(12,10))\n",
    "    ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "\n",
    "    ax.set_global()\n",
    "\n",
    "    gdf.plot(ax=ax, color='red', alpha=0.1, edgecolor='red')\n",
    "    da.plot(ax=ax, norm=norm, cmap=cmap, x=x, y=y, transform=ccrs.PlateCarree())\n",
    "    gdf.plot(ax=ax, color='w', alpha=0.1, edgecolor='red')\n",
    "    ax.coastlines()\n",
    "    ax.set_xlim(xlim)\n",
    "    ax.set_ylim(ylim)\n",
    "    ax.set_title(title)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='data'></a>\n",
    "# Data import"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='vector'></a>\n",
    "## Vector data "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='india'></a>\n",
    "### India"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>GID_0</th>\n",
       "      <th>NAME_0</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>IND</td>\n",
       "      <td>India</td>\n",
       "      <td>MULTIPOLYGON (((93.78773 6.85264, 93.78849 6.8...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  GID_0 NAME_0                                           geometry\n",
       "0   IND  India  MULTIPOLYGON (((93.78773 6.85264, 93.78849 6.8..."
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#import geometry:\n",
    "geom = gpd.read_file('../../datasets/raw/water/QA/gadm36_IND_0.shp')\n",
    "geom.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='raster'></a>\n",
    "## Raster data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='footprint'></a>\n",
    "#### Water footprint"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:          (x: 4320, y: 1668)\n",
       "Coordinates:\n",
       "  * x                (x) float64 -179.9 -179.9 -179.8 ... 179.8 179.9 180.0\n",
       "  * y                (y) float64 83.05 82.96 82.88 82.8 ... -55.7 -55.79 -55.87\n",
       "    spatial_ref      int64 0\n",
       "Data variables:\n",
       "    water_footprint  (y, x) float32 ...\n",
       "Attributes:\n",
       "    _FillValue:    0.0\n",
       "    scale_factor:  1.0\n",
       "    add_offset:    0.0</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-00cfaa39-a9a6-4f32-8921-7ccda8779cd7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-00cfaa39-a9a6-4f32-8921-7ccda8779cd7' 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'>x</span>: 4320</li><li><span class='xr-has-index'>y</span>: 1668</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d66ed51b-da21-4897-b24c-2d8abbdf7cfe' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d66ed51b-da21-4897-b24c-2d8abbdf7cfe' 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'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-179.9 -179.9 ... 179.9 180.0</div><input id='attrs-36ff4f92-1b7d-43d8-9bff-4435c72cb9b0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-36ff4f92-1b7d-43d8-9bff-4435c72cb9b0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9cf3df39-90d6-4c9d-ab98-15ebfac99bbf' class='xr-var-data-in' type='checkbox'><label for='data-9cf3df39-90d6-4c9d-ab98-15ebfac99bbf' 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([-179.95    , -179.866667, -179.783333, ...,  179.800029,  179.883362,\n",
       "        179.966695])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>83.05 82.96 82.88 ... -55.79 -55.87</div><input id='attrs-98d3090b-40c4-4b11-8c71-17ccb6d705be' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-98d3090b-40c4-4b11-8c71-17ccb6d705be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0229e66e-7720-49dd-9810-af689ba3f82c' class='xr-var-data-in' type='checkbox'><label for='data-0229e66e-7720-49dd-9810-af689ba3f82c' 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([ 83.046678,  82.963344,  82.880011, ..., -55.703333, -55.786667,\n",
       "       -55.87    ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-e2018c9f-883c-499c-b45d-a7819bb2224c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e2018c9f-883c-499c-b45d-a7819bb2224c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e8d7b273-146a-43d0-9bc7-8c81935ef68d' class='xr-var-data-in' type='checkbox'><label for='data-e8d7b273-146a-43d0-9bc7-8c81935ef68d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>spatial_ref :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>GeoTransform :</span></dt><dd>-179.99166664999998 0.08333334 0.0 83.08834447000001 0.0 -0.08333334</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-92fa4aef-b08e-4d70-a180-134b67069d52' class='xr-section-summary-in' type='checkbox'  checked><label for='section-92fa4aef-b08e-4d70-a180-134b67069d52' 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>water_footprint</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e8011e62-445c-4e60-b1e7-fbad4e98fed1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e8011e62-445c-4e60-b1e7-fbad4e98fed1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d5b7d31b-7295-4c5b-8a4e-81b7d5813c2e' class='xr-var-data-in' type='checkbox'><label for='data-d5b7d31b-7295-4c5b-8a4e-81b7d5813c2e' 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>_FillValue :</span></dt><dd>0.0</dd><dt><span>scale_factor :</span></dt><dd>1.0</dd><dt><span>add_offset :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[7205760 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4cef6097-c92e-4bc9-b655-36b7591a60a0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4cef6097-c92e-4bc9-b655-36b7591a60a0' class='xr-section-summary' >Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>_FillValue :</span></dt><dd>0.0</dd><dt><span>scale_factor :</span></dt><dd>1.0</dd><dt><span>add_offset :</span></dt><dd>0.0</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:          (x: 4320, y: 1668)\n",
       "Coordinates:\n",
       "  * x                (x) float64 -179.9 -179.9 -179.8 ... 179.8 179.9 180.0\n",
       "  * y                (y) float64 83.05 82.96 82.88 82.8 ... -55.7 -55.79 -55.87\n",
       "    spatial_ref      int64 0\n",
       "Data variables:\n",
       "    water_footprint  (y, x) float32 ...\n",
       "Attributes:\n",
       "    _FillValue:    0.0\n",
       "    scale_factor:  1.0\n",
       "    add_offset:    0.0"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xda = rxr.open_rasterio('../../datasets/raw/water/QA/bl_wf_mmyr_area.tif').squeeze().drop(\"band\")\n",
    "# convert to Dataset \n",
    "xds_wf = xr.Dataset({'water_footprint': xda}, attrs=xda.attrs)\n",
    "xds_wf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 864x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "color_list = [\"#ffffff\", \"#73b3d8\", \"#2879b9\", \"#08306b\"]\n",
    "values = [0, 29584100, 863202440, 10063202440,  105581714153]\n",
    "title = 'Water footprint (mm/yr)'\n",
    "\n",
    "da_plot(xds_wf['water_footprint'], geom, color_list, values, title, x='x', y='y', xlim=(65,100), ylim=(4,40))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='crops'></a>\n",
    "### All crop production by technologies\n",
    "- All: all technologies together\n",
    "- Irrigated: irrigated portion of crop\n",
    "- Rainfed: rainfed portion of crop"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define path\n",
    "path = '../../datasets/raw/spam2010v2r0_global_prod/'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "tech_dict = {'All': 'A', 'Irrigated': 'I',  'Rainfed': 'R'}\n",
    "\n",
    "for i, tech in enumerate(tech_dict.keys()):\n",
    "    included_extensions = [f'{tech_dict[tech]}.tif']\n",
    "    file_names = [fn for fn in os.listdir(path) if any(fn.endswith(ext) for ext in included_extensions)]\n",
    "\n",
    "    for j, file in enumerate(file_names):\n",
    "        xda = rxr.open_rasterio(path+file).squeeze().drop(\"band\")\n",
    "\n",
    "        # Remove negative values\n",
    "        xda = xda.where(xda > 0)\n",
    "\n",
    "        # Add crop coordinates\n",
    "        crop_name = file.split('_')[-2]\n",
    "        xda = xda.assign_coords({\"crop\": crop_name}).expand_dims(['crop']) \n",
    "\n",
    "        # Convert to Dataset \n",
    "        xds_tmp = xr.Dataset({tech: xda}, attrs=xda.attrs)\n",
    "\n",
    "        if j == 0:\n",
    "            xds_tech = xds_tmp \n",
    "        else:\n",
    "            xds_tech = xr.concat([xds_tech, xds_tmp], dim='crop')\n",
    "\n",
    "    if i == 0:\n",
    "        xds_crop = xds_tech\n",
    "    else:\n",
    "        xds_crop = xr.merge([xds_crop, xds_tech])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:      (crop: 42, x: 4320, y: 2160)\n",
       "Coordinates:\n",
       "  * crop         (crop) &lt;U4 &#x27;ACOF&#x27; &#x27;BANA&#x27; &#x27;BARL&#x27; &#x27;BEAN&#x27; ... &#x27;VEGE&#x27; &#x27;WHEA&#x27; &#x27;YAMS&#x27;\n",
       "  * x            (x) float64 -180.0 -179.9 -179.8 -179.7 ... 179.8 179.9 180.0\n",
       "  * y            (y) float64 89.96 89.88 89.79 89.71 ... -89.79 -89.87 -89.96\n",
       "    spatial_ref  int64 0\n",
       "Data variables:\n",
       "    All          (crop, y, x) float32 nan nan nan nan nan ... nan nan nan nan\n",
       "    Irrigated    (crop, y, x) float32 nan nan nan nan nan ... nan nan nan nan\n",
       "    Rainfed      (crop, y, x) float32 nan nan nan nan nan ... nan nan nan nan\n",
       "Attributes:\n",
       "    _FillValue:    -1.0\n",
       "    scale_factor:  1.0\n",
       "    add_offset:    0.0</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-959f8807-b90e-4c0d-8d70-58f82d240b03' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-959f8807-b90e-4c0d-8d70-58f82d240b03' 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'>crop</span>: 42</li><li><span class='xr-has-index'>x</span>: 4320</li><li><span class='xr-has-index'>y</span>: 2160</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-5d4ff8ac-b98e-4c2b-a3c0-87f736e9a6e0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5d4ff8ac-b98e-4c2b-a3c0-87f736e9a6e0' 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'>crop</span></div><div class='xr-var-dims'>(crop)</div><div class='xr-var-dtype'>&lt;U4</div><div class='xr-var-preview xr-preview'>&#x27;ACOF&#x27; &#x27;BANA&#x27; ... &#x27;WHEA&#x27; &#x27;YAMS&#x27;</div><input id='attrs-58c707dc-0d7e-4135-9b5e-85a77a18da76' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-58c707dc-0d7e-4135-9b5e-85a77a18da76' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44b5bec4-1d62-4e6b-abed-e744addf4af6' class='xr-var-data-in' type='checkbox'><label for='data-44b5bec4-1d62-4e6b-abed-e744addf4af6' 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;ACOF&#x27;, &#x27;BANA&#x27;, &#x27;BARL&#x27;, &#x27;BEAN&#x27;, &#x27;CASS&#x27;, &#x27;CHIC&#x27;, &#x27;CNUT&#x27;, &#x27;COCO&#x27;, &#x27;COTT&#x27;,\n",
       "       &#x27;COWP&#x27;, &#x27;GROU&#x27;, &#x27;LENT&#x27;, &#x27;MAIZ&#x27;, &#x27;OCER&#x27;, &#x27;OFIB&#x27;, &#x27;OILP&#x27;, &#x27;OOIL&#x27;, &#x27;OPUL&#x27;,\n",
       "       &#x27;ORTS&#x27;, &#x27;PIGE&#x27;, &#x27;PLNT&#x27;, &#x27;PMIL&#x27;, &#x27;POTA&#x27;, &#x27;RAPE&#x27;, &#x27;RCOF&#x27;, &#x27;REST&#x27;, &#x27;RICE&#x27;,\n",
       "       &#x27;SESA&#x27;, &#x27;SMIL&#x27;, &#x27;SORG&#x27;, &#x27;SOYB&#x27;, &#x27;SUGB&#x27;, &#x27;SUGC&#x27;, &#x27;SUNF&#x27;, &#x27;SWPO&#x27;, &#x27;TEAS&#x27;,\n",
       "       &#x27;TEMF&#x27;, &#x27;TOBA&#x27;, &#x27;TROF&#x27;, &#x27;VEGE&#x27;, &#x27;WHEA&#x27;, &#x27;YAMS&#x27;], dtype=&#x27;&lt;U4&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-180.0 -179.9 ... 179.9 180.0</div><input id='attrs-a106bae5-9608-4490-9df0-8b7aa0d14af7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a106bae5-9608-4490-9df0-8b7aa0d14af7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4f4ebfb2-3185-472c-9d35-39acb06f7820' class='xr-var-data-in' type='checkbox'><label for='data-4f4ebfb2-3185-472c-9d35-39acb06f7820' 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([-179.958334, -179.875   , -179.791668, ...,  179.790227,  179.873561,\n",
       "        179.956894])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>89.96 89.88 89.79 ... -89.87 -89.96</div><input id='attrs-dc8ef66a-098a-4af6-95f5-76b554b8043a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dc8ef66a-098a-4af6-95f5-76b554b8043a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bfdfac9e-7c1c-4d54-9de0-97a149ca5c78' class='xr-var-data-in' type='checkbox'><label for='data-bfdfac9e-7c1c-4d54-9de0-97a149ca5c78' 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([ 89.958333,  89.875   ,  89.791667, ..., -89.790948, -89.874281,\n",
       "       -89.957614])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-cf8d3ec6-a33f-456a-934c-e80610018cc4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cf8d3ec6-a33f-456a-934c-e80610018cc4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b151858f-2d07-406f-84e0-df9f1aa1b047' class='xr-var-data-in' type='checkbox'><label for='data-b151858f-2d07-406f-84e0-df9f1aa1b047' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>spatial_ref :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>GeoTransform :</span></dt><dd>-180.0 0.083333 0.0 90.0 0.0 -0.083333</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-03e043d4-8f76-4ddf-a961-4792fe054663' class='xr-section-summary-in' type='checkbox'  checked><label for='section-03e043d4-8f76-4ddf-a961-4792fe054663' class='xr-section-summary' >Data variables: <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>All</span></div><div class='xr-var-dims'>(crop, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-0d711376-daef-4445-b897-71830e16239d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0d711376-daef-4445-b897-71830e16239d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea9e7499-d7bd-40dd-bd0d-e43d42bd6c0a' class='xr-var-data-in' type='checkbox'><label for='data-ea9e7499-d7bd-40dd-bd0d-e43d42bd6c0a' 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>_FillValue :</span></dt><dd>-1.0</dd><dt><span>scale_factor :</span></dt><dd>1.0</dd><dt><span>add_offset :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "...\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Irrigated</span></div><div class='xr-var-dims'>(crop, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-390b34e8-3ed0-437c-aa83-02683405dae2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-390b34e8-3ed0-437c-aa83-02683405dae2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a1f48b27-8d77-4fe9-a7c6-a66c04ed6f91' class='xr-var-data-in' type='checkbox'><label for='data-a1f48b27-8d77-4fe9-a7c6-a66c04ed6f91' 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>_FillValue :</span></dt><dd>-1.0</dd><dt><span>scale_factor :</span></dt><dd>1.0</dd><dt><span>add_offset :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "...\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Rainfed</span></div><div class='xr-var-dims'>(crop, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-efbe7258-5e38-49f1-a362-d6446a9a2ce5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-efbe7258-5e38-49f1-a362-d6446a9a2ce5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2c347c11-003b-4781-be90-16e48fd55953' class='xr-var-data-in' type='checkbox'><label for='data-2c347c11-003b-4781-be90-16e48fd55953' 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>_FillValue :</span></dt><dd>-1.0</dd><dt><span>scale_factor :</span></dt><dd>1.0</dd><dt><span>add_offset :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "...\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-27767b60-ae88-4f99-a099-9f935d308bee' class='xr-section-summary-in' type='checkbox'  checked><label for='section-27767b60-ae88-4f99-a099-9f935d308bee' class='xr-section-summary' >Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>_FillValue :</span></dt><dd>-1.0</dd><dt><span>scale_factor :</span></dt><dd>1.0</dd><dt><span>add_offset :</span></dt><dd>0.0</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:      (crop: 42, x: 4320, y: 2160)\n",
       "Coordinates:\n",
       "  * crop         (crop) <U4 'ACOF' 'BANA' 'BARL' 'BEAN' ... 'VEGE' 'WHEA' 'YAMS'\n",
       "  * x            (x) float64 -180.0 -179.9 -179.8 -179.7 ... 179.8 179.9 180.0\n",
       "  * y            (y) float64 89.96 89.88 89.79 89.71 ... -89.79 -89.87 -89.96\n",
       "    spatial_ref  int64 0\n",
       "Data variables:\n",
       "    All          (crop, y, x) float32 nan nan nan nan nan ... nan nan nan nan\n",
       "    Irrigated    (crop, y, x) float32 nan nan nan nan nan ... nan nan nan nan\n",
       "    Rainfed      (crop, y, x) float32 nan nan nan nan nan ... nan nan nan nan\n",
       "Attributes:\n",
       "    _FillValue:    -1.0\n",
       "    scale_factor:  1.0\n",
       "    add_offset:    0.0"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xds_crop"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 864x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "color_list = [\"#ffffff\", \"#d5e1df\", \"#e3eaa7\", \"#b5e7a0\", \"#86af49\"]\n",
    "values = [0, 1, 100, 1000, 10000, 20000]\n",
    "title = 'All irrigated crop production (t)'\n",
    "\n",
    "da_plot(xds_crop.sum('crop')['Irrigated'], geom, color_list, values, title, x='x', y='y', xlim=(65,100), ylim=(4,40))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='production'></a>\n",
    "#### Irrigated cotto production"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:            (x: 4320, y: 2160)\n",
       "Coordinates:\n",
       "  * x                  (x) float64 -180.0 -179.9 -179.8 ... 179.8 179.9 180.0\n",
       "  * y                  (y) float64 89.96 89.88 89.79 ... -89.79 -89.87 -89.96\n",
       "    spatial_ref        int64 0\n",
       "Data variables:\n",
       "    cotton_production  (y, x) float32 nan nan nan nan nan ... nan nan nan nan\n",
       "Attributes:\n",
       "    _FillValue:    -1.0\n",
       "    scale_factor:  1.0\n",
       "    add_offset:    0.0</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-f4a4b913-453c-456b-8d9a-514d51d0d82a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f4a4b913-453c-456b-8d9a-514d51d0d82a' 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'>x</span>: 4320</li><li><span class='xr-has-index'>y</span>: 2160</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-79d0ab68-a076-415e-8499-78461e75b527' class='xr-section-summary-in' type='checkbox'  checked><label for='section-79d0ab68-a076-415e-8499-78461e75b527' 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'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-180.0 -179.9 ... 179.9 180.0</div><input id='attrs-6e1c6cfd-a76b-41a8-86b7-37f049b8254b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6e1c6cfd-a76b-41a8-86b7-37f049b8254b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f910b706-ab8c-41be-a4e8-0a46325f87fe' class='xr-var-data-in' type='checkbox'><label for='data-f910b706-ab8c-41be-a4e8-0a46325f87fe' 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([-179.958334, -179.875   , -179.791668, ...,  179.790227,  179.873561,\n",
       "        179.956894])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>89.96 89.88 89.79 ... -89.87 -89.96</div><input id='attrs-2a70d15c-239a-4bf8-88d8-d9b428885364' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2a70d15c-239a-4bf8-88d8-d9b428885364' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cba0c1a9-aa3d-491e-b69c-fbc76a04468e' class='xr-var-data-in' type='checkbox'><label for='data-cba0c1a9-aa3d-491e-b69c-fbc76a04468e' 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([ 89.958333,  89.875   ,  89.791667, ..., -89.790948, -89.874281,\n",
       "       -89.957614])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-2e5c2f6e-6841-425b-88bf-5aae25aadf4d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2e5c2f6e-6841-425b-88bf-5aae25aadf4d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d38e821f-d143-4d4d-aef0-69db069b7524' class='xr-var-data-in' type='checkbox'><label for='data-d38e821f-d143-4d4d-aef0-69db069b7524' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>spatial_ref :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>GeoTransform :</span></dt><dd>-180.0 0.083333 0.0 90.0 0.0 -0.083333</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-3311df07-2a43-482d-b376-da12b6be1123' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3311df07-2a43-482d-b376-da12b6be1123' 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>cotton_production</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-05dacefb-2f66-4833-a481-1fedda90bdfa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-05dacefb-2f66-4833-a481-1fedda90bdfa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-509d7065-f1a3-463c-914e-91f12d6b9867' class='xr-var-data-in' type='checkbox'><label for='data-509d7065-f1a3-463c-914e-91f12d6b9867' 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>_FillValue :</span></dt><dd>-1.0</dd><dt><span>scale_factor :</span></dt><dd>1.0</dd><dt><span>add_offset :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bc315394-dfcd-4d6c-aeb6-513847fc72fa' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bc315394-dfcd-4d6c-aeb6-513847fc72fa' class='xr-section-summary' >Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>_FillValue :</span></dt><dd>-1.0</dd><dt><span>scale_factor :</span></dt><dd>1.0</dd><dt><span>add_offset :</span></dt><dd>0.0</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:            (x: 4320, y: 2160)\n",
       "Coordinates:\n",
       "  * x                  (x) float64 -180.0 -179.9 -179.8 ... 179.8 179.9 180.0\n",
       "  * y                  (y) float64 89.96 89.88 89.79 ... -89.79 -89.87 -89.96\n",
       "    spatial_ref        int64 0\n",
       "Data variables:\n",
       "    cotton_production  (y, x) float32 nan nan nan nan nan ... nan nan nan nan\n",
       "Attributes:\n",
       "    _FillValue:    -1.0\n",
       "    scale_factor:  1.0\n",
       "    add_offset:    0.0"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xda = rxr.open_rasterio(path+'spam2010V2r0_global_P_COTT_I.tif').squeeze().drop(\"band\")\n",
    "\n",
    "# Remove negative values\n",
    "xda = xda.where(xda > 0)\n",
    "\n",
    "# Convert to Dataset \n",
    "xds_cp = xr.Dataset({'cotton_production': xda}, attrs=xda.attrs)\n",
    "xds_cp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 864x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "color_list = [\"#ffffff\", \"#d5e1df\", \"#e3eaa7\", \"#b5e7a0\", \"#86af49\"]\n",
    "values = [0, 1, 100, 1000, 5000, 10000]\n",
    "title = 'Irrigated cotton production (t)'\n",
    "\n",
    "da_plot(xds_cp['cotton_production'], geom, color_list, values, title, x='x', y='y', xlim=(65,100), ylim=(4,40))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Total production of cotton**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total production of cotton: 43693792.0 tonnes\n"
     ]
    }
   ],
   "source": [
    "tot_pro = xds_cp['cotton_production'].sum().data\n",
    "print(f'Total production of cotton: {tot_pro} tonnes')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='harvested'></a>\n",
    "#### Irrigated cotto harvested area"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:                (x: 4320, y: 2160)\n",
       "Coordinates:\n",
       "  * x                      (x) float64 -180.0 -179.9 -179.8 ... 179.9 180.0\n",
       "  * y                      (y) float64 89.96 89.88 89.79 ... -89.87 -89.96\n",
       "    spatial_ref            int64 0\n",
       "Data variables:\n",
       "    cotton_harvested_area  (y, x) float32 nan nan nan nan ... nan nan nan nan\n",
       "Attributes:\n",
       "    _FillValue:    -1.0\n",
       "    scale_factor:  1.0\n",
       "    add_offset:    0.0</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-2208951a-dedd-42cb-b08b-12f3e2db4450' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2208951a-dedd-42cb-b08b-12f3e2db4450' 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'>x</span>: 4320</li><li><span class='xr-has-index'>y</span>: 2160</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-61773729-cfed-4b40-ba93-21ab6f1ccaaa' class='xr-section-summary-in' type='checkbox'  checked><label for='section-61773729-cfed-4b40-ba93-21ab6f1ccaaa' 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'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-180.0 -179.9 ... 179.9 180.0</div><input id='attrs-7afb669a-1076-451c-a70a-c09d8bb319c8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7afb669a-1076-451c-a70a-c09d8bb319c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-11fa1427-8ab4-4373-8c4d-917b323d474c' class='xr-var-data-in' type='checkbox'><label for='data-11fa1427-8ab4-4373-8c4d-917b323d474c' 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([-179.958334, -179.875   , -179.791668, ...,  179.790227,  179.873561,\n",
       "        179.956894])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>89.96 89.88 89.79 ... -89.87 -89.96</div><input id='attrs-531ae404-a115-426d-abfe-e3c6dd8d3e96' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-531ae404-a115-426d-abfe-e3c6dd8d3e96' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b48a69c5-31b0-45b3-966d-dd7b96e5ec88' class='xr-var-data-in' type='checkbox'><label for='data-b48a69c5-31b0-45b3-966d-dd7b96e5ec88' 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([ 89.958333,  89.875   ,  89.791667, ..., -89.790948, -89.874281,\n",
       "       -89.957614])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-58244f6b-800c-4502-9370-1a5c1594956a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-58244f6b-800c-4502-9370-1a5c1594956a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-42091a14-f4db-454a-9de6-c6db84aeacf5' class='xr-var-data-in' type='checkbox'><label for='data-42091a14-f4db-454a-9de6-c6db84aeacf5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>spatial_ref :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>GeoTransform :</span></dt><dd>-180.0 0.083333 0.0 90.0 0.0 -0.083333</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-84dbb278-aad7-4879-ae2c-7d28b2edc2ed' class='xr-section-summary-in' type='checkbox'  checked><label for='section-84dbb278-aad7-4879-ae2c-7d28b2edc2ed' 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>cotton_harvested_area</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-60607970-84e3-4ec9-846e-7785c837a52a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-60607970-84e3-4ec9-846e-7785c837a52a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-59cb7b4a-b98a-40c7-bcf0-6ab83c3568aa' class='xr-var-data-in' type='checkbox'><label for='data-59cb7b4a-b98a-40c7-bcf0-6ab83c3568aa' 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>_FillValue :</span></dt><dd>-1.0</dd><dt><span>scale_factor :</span></dt><dd>1.0</dd><dt><span>add_offset :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e7127c96-259c-4005-878d-6f82e165e1e6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e7127c96-259c-4005-878d-6f82e165e1e6' class='xr-section-summary' >Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>_FillValue :</span></dt><dd>-1.0</dd><dt><span>scale_factor :</span></dt><dd>1.0</dd><dt><span>add_offset :</span></dt><dd>0.0</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:                (x: 4320, y: 2160)\n",
       "Coordinates:\n",
       "  * x                      (x) float64 -180.0 -179.9 -179.8 ... 179.9 180.0\n",
       "  * y                      (y) float64 89.96 89.88 89.79 ... -89.87 -89.96\n",
       "    spatial_ref            int64 0\n",
       "Data variables:\n",
       "    cotton_harvested_area  (y, x) float32 nan nan nan nan ... nan nan nan nan\n",
       "Attributes:\n",
       "    _FillValue:    -1.0\n",
       "    scale_factor:  1.0\n",
       "    add_offset:    0.0"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xda = rxr.open_rasterio('../../datasets/raw/spam2010v2r0_global_harv_area/spam2010V2r0_global_H_COTT_I.tif').squeeze().drop(\"band\")\n",
    "\n",
    "# Remove negative values\n",
    "xda = xda.where(xda > 0)\n",
    "\n",
    "# Convert to Dataset \n",
    "xds_cha = xr.Dataset({'cotton_harvested_area': xda}, attrs=xda.attrs)\n",
    "xds_cha"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 864x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "color_list = [\"#ffffff\", \"#d5e1df\", \"#e3eaa7\", \"#b5e7a0\", \"#86af49\"]\n",
    "values = [0, 1, 10, 100, 1000, 7000]\n",
    "title = 'Cotton harvested area (ha)'\n",
    "\n",
    "da_plot(xds_cha['cotton_harvested_area'], geom, color_list, values, title, x='x', y='y', xlim=(65,100), ylim=(4,40))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='merge'></a>\n",
    "## Merge datasets \n",
    "**Equal extents and coordinates**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MAPSPAM bbox:  (-180.0, -89.99928000000003, 179.99856, 90.0)\n"
     ]
    }
   ],
   "source": [
    "print(\"MAPSPAM bbox: \", xds_cha.rio.bounds())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Input file size is 4320, 1668\n",
      "Warning 1: Computed -srcwin -1 -83 4320 2160 falls partially outside raster extent. Going on however.\n",
      "0...10...20...30...40...50...60...70...80...90...100 - done.\n"
     ]
    }
   ],
   "source": [
    "!gdal_translate -projwin -180.0 90.0 179.99856 -89.99928000000003 -of GTiff $\"../../datasets/raw/water/QA/bl_wf_mmyr_area.tif\" $\"../../datasets/raw/water/QA/bl_wf_mmyr_area_MAPSPAM_ext.tif\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:                (x: 4320, y: 2160)\n",
       "Coordinates:\n",
       "  * x                      (x) float64 -180.0 -179.9 -179.8 ... 179.9 180.0\n",
       "  * y                      (y) float64 89.96 89.88 89.79 ... -89.87 -89.96\n",
       "    spatial_ref            int64 0\n",
       "Data variables:\n",
       "    water_footprint        (y, x) float32 ...\n",
       "    all_crop_production    (y, x) float32 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0\n",
       "    cotton_production      (y, x) float32 nan nan nan nan ... nan nan nan nan\n",
       "    cotton_harvested_area  (y, x) float32 nan nan nan nan ... nan nan nan nan\n",
       "Attributes:\n",
       "    _FillValue:    0.0\n",
       "    scale_factor:  1.0\n",
       "    add_offset:    0.0</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-b34d39d7-2114-492f-935a-dda75f56cc9f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b34d39d7-2114-492f-935a-dda75f56cc9f' 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'>x</span>: 4320</li><li><span class='xr-has-index'>y</span>: 2160</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-88124e52-b0ba-4d79-a144-a11d7b9af837' class='xr-section-summary-in' type='checkbox'  checked><label for='section-88124e52-b0ba-4d79-a144-a11d7b9af837' 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'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-180.0 -179.9 ... 179.9 180.0</div><input id='attrs-e75c3d3c-cd24-417f-ae10-0a4cbd5cfaa2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e75c3d3c-cd24-417f-ae10-0a4cbd5cfaa2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5cd1b5fd-2cfc-406b-b663-cdd138ece1fb' class='xr-var-data-in' type='checkbox'><label for='data-5cd1b5fd-2cfc-406b-b663-cdd138ece1fb' 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([-179.958334, -179.875   , -179.791668, ...,  179.790227,  179.873561,\n",
       "        179.956894])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>89.96 89.88 89.79 ... -89.87 -89.96</div><input id='attrs-2daed446-791c-4bd9-b119-1a9fb8bc7420' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2daed446-791c-4bd9-b119-1a9fb8bc7420' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81613dfe-7f3c-406a-8788-2183d26de886' class='xr-var-data-in' type='checkbox'><label for='data-81613dfe-7f3c-406a-8788-2183d26de886' 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([ 89.958333,  89.875   ,  89.791667, ..., -89.790948, -89.874281,\n",
       "       -89.957614])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-6b08e53c-7586-42d6-ba30-4c9dee9484ce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6b08e53c-7586-42d6-ba30-4c9dee9484ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-baf3efe6-08d6-4451-b7c4-25e69fb31f84' class='xr-var-data-in' type='checkbox'><label for='data-baf3efe6-08d6-4451-b7c4-25e69fb31f84' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>spatial_ref :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>GeoTransform :</span></dt><dd>-180.07499998999998 0.08333334 0.0 90.00501169 0.0 -0.08333334</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-a6f5468b-5ad4-459e-a044-9d8ab3d3040a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a6f5468b-5ad4-459e-a044-9d8ab3d3040a' class='xr-section-summary' >Data variables: <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>water_footprint</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c4d19e3d-1118-4b06-ab9f-dba888424192' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c4d19e3d-1118-4b06-ab9f-dba888424192' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad789726-f99f-4791-b0d2-5c3e9fb35e94' class='xr-var-data-in' type='checkbox'><label for='data-ad789726-f99f-4791-b0d2-5c3e9fb35e94' 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>_FillValue :</span></dt><dd>0.0</dd><dt><span>scale_factor :</span></dt><dd>1.0</dd><dt><span>add_offset :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[9331200 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>all_crop_production</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-d228bb32-24d4-419b-9162-2b2cfc411eaa' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d228bb32-24d4-419b-9162-2b2cfc411eaa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18324c19-1039-4404-a750-518dc38b66cf' class='xr-var-data-in' type='checkbox'><label for='data-18324c19-1039-4404-a750-518dc38b66cf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cotton_production</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-eb09af1d-dec3-449e-8d65-9a30942ea50a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eb09af1d-dec3-449e-8d65-9a30942ea50a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ab991a8-0210-4afe-b069-16ff679f2ecf' class='xr-var-data-in' type='checkbox'><label for='data-6ab991a8-0210-4afe-b069-16ff679f2ecf' 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>_FillValue :</span></dt><dd>-1.0</dd><dt><span>scale_factor :</span></dt><dd>1.0</dd><dt><span>add_offset :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cotton_harvested_area</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-e878719b-b97f-4d07-a439-d1181f8d7501' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e878719b-b97f-4d07-a439-d1181f8d7501' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-74f74bdc-2cd8-47d1-95bd-3ef9b819a9af' class='xr-var-data-in' type='checkbox'><label for='data-74f74bdc-2cd8-47d1-95bd-3ef9b819a9af' 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>_FillValue :</span></dt><dd>-1.0</dd><dt><span>scale_factor :</span></dt><dd>1.0</dd><dt><span>add_offset :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-da331b30-4d69-43e2-89cc-1a3c711fbf49' class='xr-section-summary-in' type='checkbox'  checked><label for='section-da331b30-4d69-43e2-89cc-1a3c711fbf49' class='xr-section-summary' >Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>_FillValue :</span></dt><dd>0.0</dd><dt><span>scale_factor :</span></dt><dd>1.0</dd><dt><span>add_offset :</span></dt><dd>0.0</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:                (x: 4320, y: 2160)\n",
       "Coordinates:\n",
       "  * x                      (x) float64 -180.0 -179.9 -179.8 ... 179.9 180.0\n",
       "  * y                      (y) float64 89.96 89.88 89.79 ... -89.87 -89.96\n",
       "    spatial_ref            int64 0\n",
       "Data variables:\n",
       "    water_footprint        (y, x) float32 ...\n",
       "    all_crop_production    (y, x) float32 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0\n",
       "    cotton_production      (y, x) float32 nan nan nan nan ... nan nan nan nan\n",
       "    cotton_harvested_area  (y, x) float32 nan nan nan nan ... nan nan nan nan\n",
       "Attributes:\n",
       "    _FillValue:    0.0\n",
       "    scale_factor:  1.0\n",
       "    add_offset:    0.0"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xda = rxr.open_rasterio('../../datasets/raw/water/QA/bl_wf_mmyr_area_MAPSPAM_ext.tif').squeeze().drop(\"band\")\n",
    "# Convert to Dataset \n",
    "xds_wf = xr.Dataset({'water_footprint': xda}, attrs=xda.attrs)\n",
    "\n",
    "# Assign MAPSPAM coords\n",
    "xds_wf = xds_wf.assign_coords(x=xds_cha.x.values)\n",
    "xds_wf = xds_wf.assign_coords(y=xds_cha.y.values)\n",
    "\n",
    "xds = xds_wf.copy()\n",
    "\n",
    "# Add all variables\n",
    "xds['all_crop_production'] = xds_crop.sum('crop')['Irrigated']\n",
    "xds['cotton_production'] = xds_cp['cotton_production']\n",
    "xds['cotton_harvested_area'] = xds_cha['cotton_harvested_area']\n",
    "\n",
    "xds"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='impact'></a>\n",
    "# Compute water impact\n",
    "\n",
    "Water impact  (m3/year) = (water footprint (m3/year) / All crops production (tons)) * (Harvested area (ha) / Total Harvested area (ha)) * Volume (tons) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "mm_to_m3 = 0.001\n",
    "volume = 745"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "**Clip dataset with India**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:                (y: 2160, x: 4320)\n",
       "Coordinates:\n",
       "  * y                      (y) float64 89.96 89.88 89.79 ... -89.87 -89.96\n",
       "  * x                      (x) float64 -180.0 -179.9 -179.8 ... 179.9 180.0\n",
       "    spatial_ref            int64 0\n",
       "Data variables:\n",
       "    water_footprint        (y, x) float32 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0\n",
       "    all_crop_production    (y, x) float32 nan nan nan nan ... nan nan nan nan\n",
       "    cotton_production      (y, x) float32 nan nan nan nan ... nan nan nan nan\n",
       "    cotton_harvested_area  (y, x) float32 nan nan nan nan ... nan nan nan nan\n",
       "Attributes:\n",
       "    _FillValue:    0.0\n",
       "    scale_factor:  1.0\n",
       "    add_offset:    0.0</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-24b1a777-4a9c-4e01-a3ef-8605b698f24c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-24b1a777-4a9c-4e01-a3ef-8605b698f24c' 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'>y</span>: 2160</li><li><span class='xr-has-index'>x</span>: 4320</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-125dbda2-30ac-422a-9a1f-2203622cf8fa' class='xr-section-summary-in' type='checkbox'  checked><label for='section-125dbda2-30ac-422a-9a1f-2203622cf8fa' 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'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>89.96 89.88 89.79 ... -89.87 -89.96</div><input id='attrs-e0849751-0019-4071-bd80-8d8cd45a3c36' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e0849751-0019-4071-bd80-8d8cd45a3c36' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d8c670e9-2375-4334-b541-4e6437d36952' class='xr-var-data-in' type='checkbox'><label for='data-d8c670e9-2375-4334-b541-4e6437d36952' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([ 89.958333,  89.875   ,  89.791667, ..., -89.790948, -89.874281,\n",
       "       -89.957614])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-180.0 -179.9 ... 179.9 180.0</div><input id='attrs-a0b0e5a3-98d8-4169-b066-ab232894e14d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a0b0e5a3-98d8-4169-b066-ab232894e14d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-71d14058-42e0-486f-a4d4-91765e35a7a1' class='xr-var-data-in' type='checkbox'><label for='data-71d14058-42e0-486f-a4d4-91765e35a7a1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([-179.958334, -179.875   , -179.791668, ...,  179.790227,  179.873561,\n",
       "        179.956894])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-0a0d560b-bcb2-467e-ae13-a20d56280827' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0a0d560b-bcb2-467e-ae13-a20d56280827' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b4480b9b-acc0-4c92-8192-faee0973e80c' class='xr-var-data-in' type='checkbox'><label for='data-b4480b9b-acc0-4c92-8192-faee0973e80c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>spatial_ref :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>GeoTransform :</span></dt><dd>-180.0 0.083333 0.0 90.0 0.0 -0.083333</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-0efae5f1-c1de-4821-a7ee-88a09cf118a5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0efae5f1-c1de-4821-a7ee-88a09cf118a5' class='xr-section-summary' >Data variables: <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>water_footprint</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-88304594-10ac-4f7d-ba2b-29cb97b811d1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-88304594-10ac-4f7d-ba2b-29cb97b811d1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-42548e37-d007-4557-93f3-aaacaf5cbe54' class='xr-var-data-in' type='checkbox'><label for='data-42548e37-d007-4557-93f3-aaacaf5cbe54' 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>scale_factor :</span></dt><dd>1.0</dd><dt><span>add_offset :</span></dt><dd>0.0</dd><dt><span>_FillValue :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>all_crop_production</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-8a4e22ad-5459-4955-b0de-501109cf3357' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8a4e22ad-5459-4955-b0de-501109cf3357' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ae5c34b-2265-4575-abb6-8bcaf082d539' class='xr-var-data-in' type='checkbox'><label for='data-3ae5c34b-2265-4575-abb6-8bcaf082d539' 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([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cotton_production</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-5f770356-0e00-4d19-b42b-54e504e16fc6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5f770356-0e00-4d19-b42b-54e504e16fc6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49dd6e47-6275-48e7-a01e-058371b67526' class='xr-var-data-in' type='checkbox'><label for='data-49dd6e47-6275-48e7-a01e-058371b67526' 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>scale_factor :</span></dt><dd>1.0</dd><dt><span>add_offset :</span></dt><dd>0.0</dd><dt><span>_FillValue :</span></dt><dd>-1.0</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cotton_harvested_area</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-df93224d-fe8e-493b-b6c3-b6c1c9b81b55' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df93224d-fe8e-493b-b6c3-b6c1c9b81b55' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b045f2c6-1b6c-409f-8903-13a638f08c09' class='xr-var-data-in' type='checkbox'><label for='data-b045f2c6-1b6c-409f-8903-13a638f08c09' 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>scale_factor :</span></dt><dd>1.0</dd><dt><span>add_offset :</span></dt><dd>0.0</dd><dt><span>_FillValue :</span></dt><dd>-1.0</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-48d8adde-e165-41eb-91bb-92b161f1e728' class='xr-section-summary-in' type='checkbox'  checked><label for='section-48d8adde-e165-41eb-91bb-92b161f1e728' class='xr-section-summary' >Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>_FillValue :</span></dt><dd>0.0</dd><dt><span>scale_factor :</span></dt><dd>1.0</dd><dt><span>add_offset :</span></dt><dd>0.0</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:                (y: 2160, x: 4320)\n",
       "Coordinates:\n",
       "  * y                      (y) float64 89.96 89.88 89.79 ... -89.87 -89.96\n",
       "  * x                      (x) float64 -180.0 -179.9 -179.8 ... 179.9 180.0\n",
       "    spatial_ref            int64 0\n",
       "Data variables:\n",
       "    water_footprint        (y, x) float32 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0\n",
       "    all_crop_production    (y, x) float32 nan nan nan nan ... nan nan nan nan\n",
       "    cotton_production      (y, x) float32 nan nan nan nan ... nan nan nan nan\n",
       "    cotton_harvested_area  (y, x) float32 nan nan nan nan ... nan nan nan nan\n",
       "Attributes:\n",
       "    _FillValue:    0.0\n",
       "    scale_factor:  1.0\n",
       "    add_offset:    0.0"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xds_ind = xds.rio.clip(geom.geometry, geom.crs, drop=False, invert=False)\n",
    "xds_ind[\"all_crop_production\"] = xds_ind[\"all_crop_production\"].where(xds_ind[\"all_crop_production\"] > 0)\n",
    "xds_ind['cotton_production'] = xds_ind['cotton_production'].where(xds_ind['cotton_production'] > 0)\n",
    "xds_ind['cotton_harvested_area'] = xds_ind['cotton_harvested_area'].where(xds_ind['cotton_harvested_area'] > 0)\n",
    "xds_ind"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 864x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "color_list = [\"#ffffff\", \"#d5e1df\", \"#e3eaa7\", \"#b5e7a0\", \"#86af49\"]\n",
    "values = [0, 1, 10, 100, 1000, 7000]\n",
    "title = 'Cotton harvested area (hectares)'\n",
    "\n",
    "da_plot(xds_ind['cotton_harvested_area'], geom, color_list, values, title, x='x', y='y', xlim=(65,100), ylim=(4,40))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Total production of cotton in India**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total production of cotton in India: 8992966.0 tons\n"
     ]
    }
   ],
   "source": [
    "tot_pro = xds_ind[\"cotton_production\"].sum().data\n",
    "print(f'Total production of cotton in India: {tot_pro} tons')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Total harvest area of cotton in India**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total harvest area of cotton in India: 3055540.5 hectares\n"
     ]
    }
   ],
   "source": [
    "tot_ha = xds_ind[\"cotton_harvested_area\"].sum().data\n",
    "print(f'Total harvest area of cotton in India: {tot_ha} hectares')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### **Water \"risk\"**\n",
    "\n",
    "Water risk (m3/yr*t) = blue water footprint (mm/yr) * 0.001 (m3/mm) / All crops production (tons)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "xds_ind = xds_ind.assign(water_risk = (xds_ind[\"water_footprint\"]*mm_to_m3)/xds_ind[\"all_crop_production\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 864x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "color_list = [\"#ffffff\", \"#96ceb4\", \"#ffeead\", \"#ffcc5c\", \"#ff6f69\"]\n",
    "values = [0, 100, 500, 1000, 5000, 10000]\n",
    "title = 'Water risk (m3/yr*t)'\n",
    "da_plot(xds_ind['water_risk'], geom, color_list, values, title, x='x', y='y', xlim=(65,100), ylim=(4,40))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### **Evenly distributed volume**\n",
    "\n",
    "If the volume is distributed evenly across the entire area\n",
    "\n",
    "Water impact (m3/yr) = (water footprint (m3/yr) / All crops production (tons)) * Volume(tons) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total water impact for cotton in India:: 26278492.67578125 m3/yr\n"
     ]
    }
   ],
   "source": [
    "mean_risk = ((xds_ind[\"water_footprint\"]*mm_to_m3)/xds_ind[\"all_crop_production\"]).mean().data\n",
    "print(f'Total water impact for cotton in India:: {mean_risk * volume} m3/yr')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### **Probability purchase area**\n",
    "\n",
    "The volume is distributed using the 'probabilistics purchase area' approach:\n",
    "\n",
    "Probability purchase area (t)  = (Volume(t) / Total harvest area(ha)) * Harvest area(ha)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "xds_ind = xds_ind.assign(probability_purchase_area = (volume/tot_ha)* xds_ind[\"cotton_harvested_area\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAmkAAAJDCAYAAABQRoOCAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/MnkTPAAAACXBIWXMAAAsTAAALEwEAmpwYAAD14klEQVR4nOydeVxU5f7HP8+AgGyCqAwC4gqmJYqmthgtXjLKlpu2aWW3rG7R7ZZli7Zr2S3rVtS9Zfmz0m5eqSyLzKwu2aa5kSu4oiCgbLKD4zy/P75zZs4Ms8LALHzfr9e8Zuac85zznIE58znfVUgpwTAMwzAMw3gXGk9PgGEYhmEYhmkLizSGYRiGYRgvhEUawzAMwzCMF8IijWEYhmEYxgthkcYwDMMwDOOFsEhjGIZhGIbxQlikMd0KIYQUQgxt59jDQojJNtZNEkIUWNtWCPG4EOLd9s3Yc9g73+6CEOJnIcQYO+s/EUJc1pVzYhim+8AijfF6DGKhSQhRL4QoF0IsE0KEe3peaqSUG6SUKTbWPS+lvAMAhBADDUIxsGtnyLiKEGIqgDop5TbD+6eFEMstNnsRwIIunxzDMN0CFmmMrzBVShkOIA3AOADzLTdg4eMa/vZ5CSEC3LzLuwF8aG8DKeUmAJFCiHFuPjbDMAyLNMa3kFKWAPgawJmA0X15rxBiH4B9hmWzhRD7hRBVQogvhBD9LXaTKYQ4KISoEEK8JITQGMYNEUJ8L4SoNKxbIYSIshh7thBitxCiWgjxf0KIEMPYC4UQxdbmbGGB+dHwXGOwDKYb5nmWavt+QohGIURfK/uaZXDBZQshTgoh9gohLlGtN3NRqo+tsuLdLoQ4AuB71ee1RwhRZzi3NNUhRwsh/jAca6XqfKOFEF8KIU4YPosvhRAJFvM8aNjnISHEDNW6vxiOVy2E+EYIkWTtczNsu0oIUWY4/o9CiJGqdcuEEP8SQuQKIRoAXCSE6G9wQZ4wHPdvqu3HCyF+FULUCCFKDZ9hkI3jBgG4GECe4f0UAI8DuN7wd8tXbf4/AJfbOgeGYZj2wiKN8SmEEIkAMgFsUy2+GsAEACOEEBcDeAHAdQDiABQB+NhiN9eArHFpAK4C8Bdl94ax/QGcASARwNMWY2cAuBTAEADJsGLRc8AFhucoKWW4lDLPML+Zqm1uBPCdlPKEjX1MAHAAQB8ATwH4VAjR24U5pIPO71IhxHTQOd4CIBLAlQAqVdteB2AKgEEARgGYZViuAfB/AJIADADQBCAbAIQQYQBeB3CZlDICwLkAthvWXQUSO38G0BfABgD/sTPXrwEMA9APwFYAKyzW3wRgIYAIAL8AWAMgH0A8gEsA/F0Icalh29MAHgB9bucY1t9j47jDAOillMUAIKVcC+B5ACsNf7dU1bZ7AKRa2QfDMEyHYJHG+AqrhRA1AH4CWTeeV617QUpZJaVsAomopVLKrVLKFgCPAThHCDFQtf2Lhu2PAPgnSBRBSrlfSvmtlLLFIJBeAQkaNdlSyqNSyiqQOLjRDef2PoAbhRDC8P5m2HezHQfwTynlKSnlSgAFcM2S87SUssHwed0B4B9Syt8lsV9KWaTa9nUp5THD+a4BMBoApJSVUspPpJSNUso60Geh/qz0AM4UQvSUUpZKKXcZlt8N+nvtkVLqQH/H0basaVLKpVLKOsPf8mkAqUKIXqpNPpdS/iyl1AM4C0BfKeWzUspWKeVBAEsA3GDY1xYp5W9SSp2U8jCAt9H276sQBaDO0QdpoM6wPcMwjFthkcb4CldLKaOklElSynsMAkPhqOp1f5D1DAAgpawHWYbibWxfZBgDIUSsEOJjIUSJEKIWwHKQ1QWOxnYEKeVGAI0ALhRCDAcwFMAXdoaUSCllB+ahPodEkFXOFmWq140AwgFACBEqhHhbCFFk+Kx+BBAlhAiQUjYAuB4kyEqFEF8Zzgsgy9trBpdjDYAqkAVT/feB4RgBQohFQogDhmMcNqxS/03U55IEoL+yb8P+HwcQa9hfssEtW2bY3/No+/dVqAZZ55whAkCNk9syDMM4DYs0xh9QC5ZjoB9rAEbXWwyAEtU2iarXAwxjAPrRlgDOklJGglyQAubYGtueuap533C8mwHkSCmb7ewjXmV1s5xHA4BQ1TqtgzkcBbluXWUOgBQAEwyfleLGFQAgpfxGSvknkMt5L8iipRzvLoPgVh49pZS/WDnGTSB39GQAvQAMVB/Dxrkcsth3hJQy07D+X4a5DDPM+XG0/fsq7AcghBBq8Wjrb3cGyMXKMAzjVlikMf7GfwDcJoQYLYQIBgmvjQb3lsLDhsD3RAD3A1hpWB4BoB7AScOP88NW9n+vECLBEAM2TzXWWU6AXIGDLZYvB8XKzQTwgYN99APwNyFED0NM2RkAcg3rtgO4wbBuHIBpDvb1LoCHhBBjBTHUXiC/ighQHFqN4bN4SllhsEheZRDILaDPVG9Y/W8AjykJAEKIXoZzsHWMFpAlNBTmLm5rbAJQJ4R4RAjR02CJO1MIcbZqf7UA6g2Wvb/a2pGUshXAepi7Q8sBDBSGRBMV6aDYOYZhGLfCIo3xK6SU6wE8AeATAKUgK9ENFpt9DmALSNB8BeA9w/JnQMkEJw3LP7VyiI8ArANwEOQmdKlGlpSyERS/9bPBJTfRsPwoKDBegoLp7bERFNheYdjXNCmlEuz/BOicqw3n85GD+awy7OMjUGzVagDOJCH8E0BPwxx+A7BWtU4D4EGQda8KJGL+ajjeZ6DaYh8bXI47AdgqBvsByJVbAmC34Tj2zuU0gCtAcXOHDHN7F2SFA4CHQNa5OpBlz5HAfhtk2VRYZXiuFEJsBQCDAKw3lOJgGIZxK8I8tIVhGE8hhFgK4JiU0mbGqBBiFoA7pJTnd9nEujFCiJ8BZCkFba2s/wTAe1LKXGvrGYZhOoJfFbNkGF/FkH36ZwA2WxAxXY+U8jwH66/tqrkwDNP9YHcnw3gYIcRzILffS1LKQ56eD8MwDOMdsLuTYRiGYRjGC2FLGsMwDMMwjBdiNyZtypQpsqKioqvmwjAMwzBMO9myZcs3Usopnp4HbNcUbEN1dTXitIm48uIs/PfrRa4ex1adQ7/BrkirqKjA5s2bu2ouDMMwDMO0EyGErQ4aXss///lPDB0wBr/vzAXgskjze9jdyTAMwzBMl1NdXY03X38Pk8ZNB6TE9ZmPenpKXgeLNIZhGIZhupx//vOfOCslHQEBgTj7rExs2sHlBi1hkcYwDMMwTJeiWNGGD5oAAOgXk8TWNCuwSGMYhmEYpktRW9EU2JrWFhZpDMMwDMN0GZZWNAW2prWFRRrDMAzDMF2GNSuaAlvTzGGRxjAMwzBMl2DLiqbA1jRzWKQxDMMwDNMl2LOiKbA1zQSLNIZhGIZhOh1HVjQFtqaZYJHGMAzDMEyn44wVTYGtaQSLNIZhGIZhOhVnrWgKbE0jWKQxDMMwDNOpuGJFU2BrGos0hmEYhmE6EVetaApsTWORxjAMwzBMJ9IeK5pCd7emsUhjGIZhGKZTaK8VTaG7W9NYpDEMwzAM0yl0xIqm0J2taSzSGIZhGIZxOx21oil0Z2saizSGYRiGYdyOO6xoCt3VmsYijWEYhmEYt+IuK5pCd7WmsUhjGIZhGMatuNOKptAdrWks0hiGYRiGcRvutqIpdEdrGos0hmEYhmHcRmdY0RRcsaYJIaYIIQqEEPuFEG2UnRDiAiHEViGETggxzWLdrUKIfYbHrarlY4UQOwz7fF0IITp8UnZgkcYwDMMwjFsQQkR3hhVNwVlrmhAiAMCbAC4DMALAjUKIERabHQEwC8BHFmN7A3gKwAQA4wE8JYSINqz+F4DZAIYZHlM6cj6OYJHGMAzDMIy7+HtnWdEUnLSmjQewX0p5UErZCuBjAFepN5BSHpZS/gFAbzH2UgDfSimrpJTVAL4FMEUIEQcgUkr5m5RSAvgAwNUdPyPbsEhjGIZhGMZdXDAkcUynHqBfTBLqG2oghLhTCLFZ9bhTtVk8gKOq98WGZc5ga2y84XV79tkuOk/qMgzDMAzT7dBoOjVMCwAghICU8h0A73T6wTwIW9IYhmEYhvE3SgAkqt4nGJZ1ZGyJ4XV79tkuWKQxDMMwDONv/A5gmBBikBAiCMANAL5wcuw3ADKEENGGhIEMAN9IKUsB1AohJhqyOm8B8HlnTF6BRRrDMAzDMH6FlFIHIAskuPYA+K+UcpcQ4lkhxJUAIIQ4WwhRDGA6gLeFELsMY6sAPAcSer8DeNawDADuAfAugP0ADgD4ujPPg2PSGIZhGIbxO6SUuQByLZY9qXr9O8zdl+rtlgJYamX5ZgBnunemtmFLGsMwDMMwjBfCIo1hGIZhGMYLYZHGMAzDMAzjhbBIYxiGYRiG8UJYpDEMwzAMw3ghLNIYhmEYhmG8EBZpDMMwDMMwXgiLNIZhGIZhGC+ERRrDMAzDMIwXwiKNYRiGYRjGC2GRxjAMwzAM44WwSGMYhmEYhvFCWKQxDMMwDMN4ISzSGIZhGIZhvBAWaQzDMAzDMF4IizSGYRiGYRgvhEUawzAMwzCMF8IijWEYhmEYxgthkcYwDMMwDOOFsEhjGIZhGIbxQlikMQzDMAzDeCEs0hiGYRiGYbwQFmkMwzAMwzBeCIs0hmEYhmEYL4RFGsMwDMMwjBfCIo1hGIZhGMYLYZHGMAzDMAzjhbBIYxiGYRiG8UJYpDEMwzAMw3ghLNIYhmEYhmG8EBZpDMMwDMMwXgiLNIZhGIZhGC+ERRrDMAzDMIwXwiKNYRiGYRjGC2GRxjAMwzAM44UEenoCDNNlNDYCGg0QFAQ0N9Oy0FDPzolhGIZhbMAijekelJcD+/YBPXvS+4YGEmyjRgGRkZ6dG8MwDMNYgd2djH+j1wOHDgGHDwOJiUBAAC3v0QMYNAgID/fo9BiGYRjGFmxJY/yXxkZg/36gpYUEmkYDaLXAyZOATgfEx3t6hgzDMAxjExZpjP+h1wMlJcDRo0B0NNCvn/n6sDCguJi207AxmWEYhvFOWKQx/oViPWtuBgYMAAKt/IsHBpI4Ky1laxrDMAzjtbBIY/yHkhLgyBHr1jNLtFqKVdNogLi4rpkfwzAMw7gAizTGt6mpIbflsWNkRUtMtG49syQoiMaFhXX6FBmGYRimPbBIY3wPvZ7EWUgIsHMnEBwMRESQe9MVwsOpFAeX4GAYhmG8EBZpjG9RVAQcPw6cPg1ISaU0EhPbt6/oaEogiI3lBAKGYRjG62CRxvgW5eVATAy5KVtbOyaulMK2FRWOY9gYhmEYpothkcY4pr6eisHqdCSOevUiF2FISOceV68nS1dAAAmz+nqagyKugoI6fozQUHJ5MgzDMIyXwSKNaUttLT0HBlKtscpKivmKiCDrVXExFYgdOBDo29e5QH1X0OmAAweo6KwQJNKOHqV17nZNhobS+SUlscuTYRiG8SpYpDHmVFUBe/fSayHIajVwoEnAhIVRLFdLC4m1gwdp3enTQFQU0KcPZVnq9RSY36+fY/FTW0ulMwCy0pWWkpUsNpaSAjqTnj3pPHfupGPHxna+hZBhGIZhnIBFGmNOYyNZl7Ra+9sFB5sC9vV6eq6tBcrKaJ1SFqOujnpkWrO2NTZSIkB1NQm6Hj3IqtUV4kxNfDxZ7Y4fp4eSkJCSQp8FwzAMw3gAFmmMCb2e3IoREa6NUyxlUVHmy3v1oqD8TZtIpClCLSyMxE9JCR1LbanzFL160aOpidyrjY3A7t1AcjKX6GAYhmE8Aos0htDpyHV56hS5LN1BYKDJItfaSi5RjYaEUFUVVfrvSouZM1gmJezaRSKSuxIwDMMwXQyLNIY4fJjclYMHd87+1ZmY3ibMbBEVRRa/I0fIDZuQ0NZayDAMwzCdBKezMURLCzUlP3yY4rMYIijI1Gpq925KamAYhmGYLoAtaQwxciS5PBsbycUXFub+0hq+ikZDFjQhyKLGrk+GYRimC2BLGmMiMJCyLAMCKH6MMdHSQnF0/ft7eiYMwzBMN4FNJYw5Bw+Si89X4sY6m6YmKhFy6hTF6/Xu7ekZMQzDMN0EFmmMCZ2O6pzFxZE4qa+nemGhoe5pweRrtLRQmZDERKqlxu5fhmEYpgthdydjQqMhS9HJkxR71bOnqX+mUrC2OxEQYDpvFmgMwzBMF8O/PIwJjQYYMaLt8s2byd3X3Vygej2JM04UYBiGYTwAizTGNjodcOIEFaLt0cPTs+l6NBrK6GQrGsMwDOMB+NeHaYteTzXB6upInMXHe75tkycIDKRm60ePAklJnp4NwzAM081gkcaYo9cDf/xB7s1Bgzw9G88TEkJilWEYhmG6mG5oHmEc0toK9Ovn6Vl4npaWzm2VxTAMwzB2YJHGmKPRUFP0igoqw9GdUbI7u6Orl2EYhvE4/OvDtEWrJYFSUtK9hVpgIBARARw65OmZMAzDMN0QFmlMW4KCgNGjgTPPpIbi3bFGmkLv3uTyPHrU0zNhGIZhuhks0hjbREUBUnp6Fp5Fo6Hs1mPHyKLWnQUrwzAM06WwSGNs09hIdcK6O4GB1BqqshLYtYsSKxiGYRimk2GRxrRFpwOKiqhWWu/eHDgP0GeQkACcPk2fC8MwDMN0MlwnjWlLbS1w8CAJtKgoT8/Gu+jThwTs/v3UJkvpxBAZSY3oGYZhGMZNsImEaUtkJNUGa2kBqqs9PRvvIjCQug+cOgVUVQFlZcDhw/RgGIZhGDfCljSmLYoQiY0Ftm+nZRER3MNSITAQiI42vS8q4uK/DMMwjNthSxpjm5AQYMAAyvA8cgQ4edLTM/I+WlspuaJPH0/PhGEYhvEzWKQx9unfHxg+nOKvmps9PRvvQ6Ohshy1tZ6eCcMwDONnsEhjHKPRAL16kdWostK0nEtRkOszJoYyPhsbPT0bhmEYxo9gkcY4x9ChwJAhQH09va+spFisujrPzssbiIgg13BVladnwjAMw/gRHAnOOE/v3kBYGJWfAChWLSzMs3PyFqKjqXVUjx6UcMEwDMMwHYRFGuMaZ55J1rTmZuDAAf8udFtTA1RUkDjt3dv+tsHBlDxw/DiLNIZhGMYtsEhjXCc83H+TCJTacKdOUdbmwIFAebnjcXV1JF6Dgzt9igzDMEz3gEUa0z4UC5pe7z/WtJoaiivTaslyFhJCwstak3m9noSZRkPjAgKAvn3pwTAMwzBugEUa0z6Unp5Hj1Kvz8BAEjUNDdQeSav19AzbT0ICEBREr1tbyaqmFqOtrUBJCSUM1NYCcXFU/NdfxCrDMAzjFbBIY9rPmDHk9gwKIrFSXQ3ExwOlpZRc0KuXb1mWoqLIkrZtG3D22SS6wsOpxEZREZ2bRkPuz379KNtVEagMwzAM42b414VpP4GBJGIACppXqu5HRZFoKy01iRtFyGi11O/SWwkNJYugYhXTaIDkZDqXgwfJ9dmzJwk3gAUawzAM02nwLwzjfgIDTRmRO3fi35/mQtczFKX5OoyZPgTTUoZ5eoa2aW6mchqWFrK4OFqu0ZhcoQzDMAzTiXAQDdO5NDUhQKdDab4OcamBmJY+ydMzcsyxY8CWLW07KoSEsEBjGIZhugwWaUzn0NwMVFTg+12foehAiKdn4zwDB1ISQGur/5YZYRiGYXwCdncyHUevp4B7jYZchEVFVLpCp4M+KhJS+Ni9gEZDcXW7dwOjR5MFjWEYhmG6GBZpTMfZvRuorMQPR9bjooEZ+KH4e+T9TwtdQA9IjakUR3J8OeZlLTO+Xzh/igcm6yR9+5JY27EDSEkBIiM9PSOGYRimm+FjJg7Gqzh4ENi4EaiqwhMr9+NUTBTmfbwf639OwqkewZAWdcPycmOQnllpfL9u64qunrFrxMRQAgE3TmcYhmE8AFvSGNdpbQV278aCxd9DhoSgtUcw9JoA5OXGAML+0MKSWAA6AEBG5hxa6M0lOU6fpppoDMMwDNPFsEhjXKeoCGhuRlNkNPW39FdOnqRsztBQT8+EYRiG6Yawu5NxDZ0OOHECT76/o8MCbV7WMmQvWe6miXUCej09GIZhGMYDsEhjXEOnw7PZv0CvCTAuUseZ2SMuNRDJ8eVmyyzfexXR0eTaPXTI0zNhGIZhuiEs0hjXCAnBky9MR2BLk9nihdmz7A6LSw1E1uyZbZbn5cZ4dwJBYiI1ka+o8PRMGIZhmG4GizTGdfr2RUCTSaTl5caYldawJC41ENrkJMzLWmbM8FRb3/JyY6inp7eh11PT+J49OS6NYRjGxxBCTBFCFAgh9gshHrWyPlgIsdKwfqMQYqBh+UAhRJMQYrvh8W/VmLFCiB2GMa8L0bmB2SzSGNepqQEgEHD6lKdn0rmcOgU0NlKDeEWkNTaSVY1j1RiGYbwWIUQAgDcBXAZgBIAbhRAjLDa7HUC1lHIogFcBvKhad0BKOdrwuFu1/F8AZgMYZnh0asFPFmmM62i1eOL+SdA4IVQUN+i2VQcAUPxaYUmsoRSHCXuWOI8RHAz06QMcPkwJEwDFp+3eDezcyUKNYRjGexkPYL+U8qCUshXAxwCustjmKgDvG17nALjEnmVMCBEHIFJK+ZuUUgL4AMDVbp+5Ci7BwbhOVRWefetXnArvZXMTRZxlL1mO0nyd2TrL9wrZa9Yja+pk0wKt1vM11MLDyXJ28CAQEADU1gJDhwIlJSTYhgzx7PwYhmG8jEumViA0NLhTj/HNb6cghLgTwJ2qxe9IKd8xvI4HcFS1rhjABIvdGLeRUuqEECcBxBjWDRJCbANQC2C+lHKDYftii33Gu+N8bMEijXGN5mY8lbUUiIq2uUlcaiBy8jYAsC3IrFGarwNmU2yaujSHmXDragIDgdhY4MQJej9gALWLio8H9u+nrgRRUZ6bH8MwTDfFIMjecbih65QCGCClrBRCjAWwWggxshOO4xAWaYxrNDYiIDgYLYE9rK5Oz6xERuYcm+7LvNwYq8sVLMelZ1Yip2AfpqUMa89s3UNEBMWnASTaABJqYWFkUWORxjAM422UAEhUvU8wLLO2TbEQIhBALwCVBldmCwBIKbcIIQ4ASDZsn+Bgn26FY9IY12hthUYDBLU2Iai1yfH2/kLv3vRQExtL2Z/c25NhGMbb+B3AMCHEICFEEIAbAHxhsc0XAG41vJ4G4HsppRRC9DUkHkAIMRiUIHBQSlkKoFYIMdEQu3YLgM878yRYpDGuERmJU00teOq20Tj/nMO4MOO4cZViRXN3F4GywiK37s9tBAaSu3P3bs/HzjEMwzBGpJQ6AFkAvgGwB8B/pZS7hBDPCiGuNGz2HoAYIcR+AA8CUMp0XADgDyHEdlBCwd1SSuVu/B4A7wLYD+AAgK878zwEWfWsM27cOLl58+bOPD7ja+j1wMaNWPDmLzgdHIzWkDCr7aHiUskt6GxMWnpmpU1X6JjpQzzr7nTEyZPA8eNAjx5AWhotq68nERcaanKRMgzDdCJCiC1SynEensMPH3/46IWdnTjw4Nx3sG//MT9uHk3wrwfjPI2NwK5deO7tTWiOsh9bphZnSuFaSxFmJr60WhSWLIc2OQkAMC1lGNZtXYG83BhsW3UAZalkTfNoEoEtevWiuLXDh4Ft2yh+TQjKBhUCSE0FQkI8PUuGYRjGx2CRxjhHVRWeuuddiF697JbesIYtC9m2VQcQmbnJbJvSfKqntg0HMGb6eJA12ST6srHeO4WaRgMMHkyFfkNDgaAgWl5WBuzYASQlAf36eXSKDMMwjG/BIo1xTGMjsGcPAiLC0dKjc03YPo9lpqdWC9TVAQcOAKWllHwQG2sScQzDMAxjA04cYByzZw+g0aAl2P39K/NyY+xa2iwpzdchp2Cf2+fRqUREAIMGkRv04EFg61agtdXTs2IYhmG8HLakMfY5ehTPvZaHU2GRQIDn/l3UDdkzUjq1VVrnkZAANDSQRY1bSjEMwzAOYJHGWEenA44fx7OPr0JrRBSkxrNGV7W1LS93LeJSA70zNs0Rra2U7cmJBAzDMIwDWKQx1ikqwsJnVqM1MhpSeJ9XvDRfh3n5a82WLZzvAxa2iAhqMfXrr5RM0Ls3CzaGYRjGKizSGHN0OmDvXqCyEq09w71SoPk0gYGUBdrUBBw7Bhw9CkRHU7mO2Fhq6M4wDMMw4MQBxpIDB4CqKsxbdQg6H8vknLdgreONvIHAQLKoJSQAcXEUp3biBJCfT5+/zvmm9AzDMIz/wpY0xkRNDRARgfmv/Ux1v5jOJyiIhBpAyQTHjlHcWkoK/w0YhmG6OfwrwJiIjARqa9FD1+LpmbQLn4hJs4dGA/TvTy2lNm8G9u0DKio4E5RhGKabwpY0xoRGAwwciKdmpWLeR4Weno1NFDGmuDd9Xpyp0WiAxERygRYXk0gbOZIENMMwDNOtYJHGmNDpSBhYaZjOdDEnTgADBpBg4wbtDMMw3RK++jNEfT1QWIin3/oVp4JDvUKopWdWtulGoLaa+ZUFTU1FBXD6NNC3Lws0hmGYbgz/AnRnamqAigo89cRnEIGBQGgoToWEeXRK6s4CgB8LMVtUVlJ5jjFjqFE7wzAM021hkdYdKS3FEw8sR4/gIOhDQnA6OsbjHQVskb1mvePOAlotPZeVdf6EOouaGuDkSUBKYPhwFmgMwzAMi7RuR20tnn30YyA6Gi0e7MVpC8W9qVjUkuPLsW7rCuP6jMw5HplXp3PiBHDGGZQgEBTk6dkwDMMwXoD3/UozncvJk5DBIdB7oUDrlpw8SRbAnj2BPn08PRuGYRjGi/BOHxfTeVRW4nRAD0/PwikKS2I9PYXOpagIqKoCoqKAtDRPz4ZhGIbxMtic0p1obQWamnDai61ocak0t8KSWCTHl3t4Np1MSwswcCCV2mAYhmEYC7z315pxP7W1PhPvZCnQ7Mai+WrCQFgYldtgkcYwDMNYgUVaN+LRe5chODoSCHReqC3MnmV8PS9rmfsnZUFpvs7wbEog8MtkAb2eRHOsn7t0GYZhmHbDMWndhdpa9Oyhgc5H4tH8nqIiShZITvb0TBim+9Dayr1wGZ+CLWndhcOHoQ8Pd6mTgNqKpn7fFRY1hbzcGOTlmh/Pcl4+R2kp/R2Sk7mjAMN0BTodWa4LCijMYMQI/u4xPgH/l3YHqqrw7OIfoIvo1a7hjkRZV4o3qwLN14rZBgZS0kDv3p6eCcN4NxUVlP3cXkFVVkYZ1FVVgEZD4QUnTwIHD7IVm/EJWKT5O3o95t/zHhY8dzUQEWG2at6CtVaHKBmW63IXIyNzjlURtjB7VhtRtDB7VqcJNZ+3nqnp2xeorgaOHwf69fP0bBjGO6mpAXbvBkJCyPIVHu782NZW4PBhslpHRwODB5NIA4DgYFo3cCDQ2EjLIyPdP3+GcQMs0vyd8nIEhYa0EWiMB2lqoueQEM/Og2G8Db2ehJVeD5SXk+VLowF27QJSU537zuzbRzeQYWHAkCFtrXCBgST4tm8Hmpvp2jhmTKecDsN0FBZp/kxNDXD4MFpDwmxazSxRZ1Pm5G0wW2fTmqVY1LTaTrGm2TpuTt4GTEufZFqguD1tUVbmedeoXk8WtOBg7s/JMGpqaoBjx4C6OhJjYWFAL0OIRm0tsG0bLWtpIetY//5tv0M1NfTdTkigxBxbREcDxcX0Oj6+M86GYdwCizR/Zv9+fHv8R0iN9TIP6ZmVyMuNMfbJBICMtBlGATMtZZi5sHGEYZw1UdVZblC1kDQTbNZQn4dW6xmhVlRETdQTEjhwmWEUysspTiw0lEST5Xejb1/63jQ3U6hAfT2NCQoiITd0KFncDhyg7e0JtMpKEn0JCUBMDFnVmpvpBopvnBgvg38l/BG9Higrw/cFa/C/Xwe1Wa3EnAEGy1naDPv7U4sZZ8SN5fYwCUL18ZWaaACwcP4UANbj5NrEwqlwKMy8ibo6ej73XM/Og2G8icZGEmjx8baLbSvLg4NN1jW9HmhoILFWXU3btLSQi9MeFRUkzuLjgZISunGqribL3ODB7jsvhnEDLNL8ieZmumCVleGZtzdBF5wIBKhcmE5ajnIK9pEVzRquWp8M22ekzUCGRXvKeflrjeJMwZ5YA0iwKULNpwQaAJw44TMdHximyzhxgtybrn43NBqKJ4uIoBIbTU0kvjQOyn/GxpIlbfduGhcRQYIvIKD958AwnQSLNH9Ar6f4imPH6GIXF4fWUE4U8CpaW8mFM3q0p2fCMN6BXk8WtBMnOh4XFhjofHLUqVP0CAwk6xlAYu34cSApqWPzYBg3wyLN16mqogudEJj/4W5I0fYuMi83BhlpzlvAbFrR3IylFc1Z1NY0W2QvWW72Pmv2zHYdy62cOkXxMNwKimGAPXsotiwpybH1y5307UsuU7XlrlcvSjqoquL6hYxXwW2hfJXGRmDzZmD/fspUio/HgicyzTaJSw00SwrwJSwF3JjpQzBmuinWJCdvA7lSLR7ZS5a3EWhq1uUuxrrcxXa36RSCgsgVc/gwUFhI7haG6a7odCSKtNquFWgKlq5VjYZqFhYWdv1cGMYOQkppc+W4cePk5s2bu3A6jFPodFTjJzycqnH7MTkF+2yus2Xxy16z3u4+s2bPNBNpWVMnt29y7UGpA9XcDIwcSX+/+noSbZ76wWKYzqC5mf6ve/em//uaGlpeUUEJABUV3uNeLC+nG9/evYGUFE/Ppt0IIbZIKcd5eA4/fPzhoxeGhgZ36nEenPsO9u0/5nyfQx+F3Z2+SGkpxVP4uUBrL2rRZSnYFLenmfuzK0txaDQUf1NdTe6eiAgSaU1NwNGjwLBh7G5hfJvmZrLwV1eTOOvRg3rVBgUBp09TrbOqKudL+3Q2Oh21iho+nDuAMF4HizRf5MQJcnEyvkt0NAntmhr64erdm8RaQQH9eA1qWzqFYXyCw4fJKjVkiG3LcExMl07JJtXVpsSFPn08PRuGaQOLNF+jsZFqAdkr1ugvaLWYptW26XwAOJ/cYLSq2btr91RhW6V8wIkT1DswNpZE25Ejpr6eLNYYX6K+noRPfLz3u+6V7h8JCSQo9XpTFra3z53pNrBI8zWqq7uNQLMmzratoorikZmbkJcbgzHTh5gLNsu2T97iUrFH376m11FRJNhKSsj9WV5OZQIGDPDY9BjGKRobgfx8spL5Qj3AigoSZNHRVL6ovJxugDUaIDERiIvz9AwZhkWaT6HTUTyat7gKOpOyMmOx2py8DUYhtg0k0pTuBdtWHTAuMyvLoVjHfEmsKSg/Eq2t1Cy6qIgCsCMj6a6f7/IZbyQoiOLPfKUobGsrtZo6cIBCDqKiSJg1NQGHDlG5nFOnKJFAiRu11rKKYToRvtr7CjodVcgODOweljTAKLJsuTbbW2fNKt4o4oKCKAN00CDKhjt2zJQhxzDeQmUlsHMnsGkTCZ/gzs3qcxsJCcDAgZTU0L+/KRGrZ0+TGAsIoMbuBw5QWMLOneQi1ens7Zlh3AbfEvgC9fXA3r30o+2NYoLpXJRq6jodWdUiI/lunvEsOh3FcO3eTRYmjYZEj6/FcwUG0rwtCQ42iU11QkFlJVnZDh6kPp+cDcp0Mj70beqmtLbShTAigi8IIOuZo/6eVnEmMcDbBXB0NDVp37aNyne0tnp6Rowavd7TM+gaamuB33+nYtpC0P9lYiLdRPqSQHMWjcb06NuXarvpdJTFyjCdjB9+o/yMoiLqx9mrl6dn4hittsuETntcndYSEdqs83ahFhFBAdqVlSTUGO+guRnYssXU6shfqaggl5+hywliY8lN6I/izBaKq/PMMz07D6ZbwD4Td9HaSvFC9fUU0+CuzKCaGt/p9eiJMhYwTxhQxNa09ElWuxVYLeehSlBQvwfgsXOySVwcPfR6yv7cuZPiasLDPT2z7oleDxQXU7yglFQUtaaGRMzQof7nlm5ooPOMjOxewkyNXk+JBjt3Amlp/vc3ZrwK/u9yB42N9IXt0YNM/hUV5JYaOrRjF7LGRsou8oV0dsCsbEZXNWkHqOE6AIdN121hKdzMxJqnaqg5QqMht0t1NfDHH/R+1CggNNTTM/NvGhupWn5zMz3q6kwuv4gI+jvo9VTrrqLC+y2zrpKUZLq++YJ1vzMICqI4tuPHu4+Lm/EYLNI6Snk5BZJGR5suWtHRZOUoLSWXgCP0etMDIGvcsWOmsgsMY4voaHrU1JBYS0wkoXDgAGWmnXEGtw9zJ8XFVMMuJIQ+1/7922YzajTU+ujIEf8SaUoJoNZWEqTdEZ2O/v7NzXRD5Cs30IzPwiKtI5SXU5aP5YVaoyFx1dhofZxOR3fjVVUkxHQ6uhsH6FmjIcE3eHDnn4M7KStDWWERkuPLsW7rJgBARtoMu0PmLViL9MxKh9s5g2JRGzN9SBvXZU7eBnKB2olLUzBzdwJtC+R2Fa4cNyqK3OzKD4hSZ+2PP+h/cfhwEhaMOQUFrjXU7tePLElRUfZbsynCWafzLndYczOwfTvdEA4eTP8bQUGmOSpu9GPHqFXZoEF0jTp5kqxnOp1vdBPoDJqaSKQmJdHnxAKN6QK86OrhYzQ2kkCLj7f+ZY2IoItdYqLpx7G5mYRdaSm5RsPC6IfYT77s2WvWIzm+3OntFYGWlxuDvFzzTM32JAYsnD8F2WvWo6ywCNrkpDbrFaFmDafctJZWEXeLto7uPziYOhPo9fQj2rMnif3qavphHjiQREZ3/IG1hauxo4oYdpRZ29BAn703CTSArjUREZR4cuQIXZNiYkiMnThBQqylha5rxcUkSAG6hgUEWC9X4e/o9fTZ1NaSsHXGO8IwbsLLriA+RFkZBWvbEliBgXSXunMn3ZGeOkWWs7Awsrz5iTADAGi1yF6y3KpAW7d1hZmVTF02Iz2z0visdBBwFUsxlzV1splQs2k5UwsgrZbEm6csZe7GUoRFR5Nr5vBh+qHp04d+nE+coB/k0aP96//RFVwNJ2huJgHmqE2XTkc3Yt6GRkMio6bGJOgPHjS1mwsJMYkQpbuFtwnNrqa0lD6HoUO5VRTT5XTzb1870elMjXntERNDF/SWFnqflOSbVgxbFh7VclsWNBJfK6yKsPYKMwVb1jZrVjS7eCoxoKzMceN3ZbuOoljZjh8HCgtNlpGGBlOWGuOYEydI0DoStXV13mlx0emoMLbSWk6jIeuQTtf2nLqrcFdTUkLPI0fy58F4BBZp7aGigu6SnbnDDAujB8N4Go2mrSg8cYLKCTCOaW4mF2H//va3q6ujMhXeKNIAEmTq1nIaDQsQWzQ2AmPG8OfDeAwfNOt4mJISyubs3dvTM/E8ht6a2UuWGxcVlpjXdFO7MtMzKxGXGoj0zEqjq7NTplVY1GaZWS00a5YppRCvKy7IjrorvSHzT0p6PnqUHrZirerr6Qerudl238LaWmDjRopl8kcOHybro6PeuUr2ozdazQMDKS7x4EH6HjQ1UVKATkevuaSEOcHB/l2cmPF62JLmCrW1dCedmNh94zSsCJys2TOxLncxCktibbo941IDkZE5B4UqQacsT44vNxNyHSVr6mSrhWyNSQOW5+ApseTI3dkVDB1KsZI1NSQuiovph6mlhQRJWhqtLywk67FeT8JOqyWLkpINePIkvW5ooJuY0lJg7FjvFCrtRcnAdkRAgHc34FbqN1ZV0f9gQIApQSAqyuQKZeh/nYUr40G6qdJoB/X11PKlT5/uK9AsUQkMxYKmPJfmm36k0jMrUVgSi5y8DWaCTNkuOd4kztxRigOgLE1rQs3W/B1iy/rWFXRmQd3gYPNgaL3eJNCqq4GtWynxQK+nmErAVEJm2zb6LjQ00H5CQiiDtKWFLDV//EHJNSEh9OzrdaWkdO67HxkJ7N9PPXdHjOj8ebmKEgSvRq+nshtHjnRfkabXU/a9Xk///716kdXx0CG67vvy/y7js7DacIbjx+lHJybG/4s4WgtWVycK2BAmWbNnmr1fl7vY+Lo2bDyyZk/CutzFDhMIMtwYv64Wam1aPjkrsOyJI3cIJytJGFbpqs4HSukOgNqRFRSQi1NdE0xxmel0VMohOJjeKwQHA8OGkXhraiJBJwSJt1GjfLdAs7M1zzQaEqsHD9L1IjGx06fWYTQaCuE4fJhi6vz9OqfT0Xk2N9P706fJnd+vH/1/trbS961/f/o+7NtHyQMM08WwSHNEURHdYVqrLM4w/o69Qq+Bgbb7ygYGtm0bVFNDwmX0aHfNrmupq3Ne3B87ZqqF6Cs0NpJY82eR1tJCNxZNTXSO0dH0v6pYydQ3Gzoduf8HDiQL46FDVE+OYboQFmn2OHKE7qb8NQbN2R8ctXXNiTFKfBpApTkiGzZhXtYBALbdKB2plWaPNsVpFWuUs/FgXWXBsqjb1maZPxAebop98jVaW6nWoaOkAYAs7xoNMH68b8XkKa3pHGWv+ipKx4DERLq5cOS+jIwksX38OHlRSktJ2PXp0zXzZRiwSLONTkdf0ISE7inQ1OstXZ8OxmZkzkGG6r3SrskeebkxSM+sNBa7bU/HAZdx1tXY1fiKOLP1P2KLEyd8S7Soqa11PoC8uZkEXXGx46K33kRDg29Z/lzl+HFgyBDb1l9L+vWjeMqTJymrv7WVYtZYpDFdiI9eMbsApWhldxRo1rZvp5BRx6ZZYpnJ2RmWNKcwlBLxGXHkjTjz/1FVRS7Aqiq6AfIlwsNp7pVOZB8PGEA3d0eOdP683ElQECVIeXNmqqvo9eRmP3qUrGDOCjSFyEiyvI0aBZx5Jok8hulC/FCBuImKCv+Ky+iItcgJi1P2kuWUPGCwtJmsZ22Fl3kmp3k3gi6xoNnDG8pi+ALt+YyGDaPPd+dOel9SQj96vlBzMCSEAsf37CFroL3m6gBlBwpB5zpihG9YEOPi6Oa0osJ/vgPFxSQ++/fvWEun0FB6MEwX4wNXDg/R3MyJAgzjToKCyMqUnGzKeNy1i5q/63S23YneUqdKqSFWWup4W42GhFpVFRX4LWpbYNll9HoStu6M69PrqVxIURG91mr9w5LW0ECflU5HiSrx8b4hlBnGArakWUOvp5gSf3J1WlqIXLEYuViFf13uYqRn0ltrLkwlqSAjU9tmvTMxae2JW1M3dreG2b7Y7WkbR71Gnf3sevYkoXboELnYfvuNRM3YsaaAbqXPZF0dWa4GDiSLlidR+p+2ttoPPFfKcLS2UsB6URGds0ZD4xsa6PPq25euM/auNa2t9Dm0ttJnIgRZvIYMsT2H5ma6jiktn1pb6XPu04f2oaw/coTmp9HQPqX0/GfcEZSyMHV1JKod9VdmGC/Hj1SIG1EuhP5252X5A+rIjelkYD3FncUa20OV5lt3cSqCTCl0q04ocJTdaU1kWVsWlxqIrKmTba63hsddrL6Eu5vCDxpElqnQUBIvx4/T69JSCtZvbqZ9NjVR+Q5PF4cNCSGx1dLiXHFTpRn76dM0fyFIkEVEmMo6BAaSCD3jjLbjdToSeK2ttI0S2H/8OPD77zSfPn1o/62tJP5On6ZxGg0dT+mU0NxM2yvXNyGoTIpi1VTaQvly8kBZGc0/MdFUfJlhfBgWadYICqK7sKIiuohFRvqfYHOEEwJNSQooLImFNpkuiJZ9M50traFsY00wrdu6wmiZU2+rPoZCYUksi7OuwlrZEPV7Z4WaEit06hQlFDQ10XcuKsoU+1VaSuu9geBg112wvXu3jb2LiqLnoiKy/vzyCyUoNDaarF9S0uuYGPPyH/36kTirraVHYCBdo5RrVWCgKVyjpYXm27OnfQugM+VFvA2djs5PSeoIDKTYR3/ygjDdGv5PtsUZZ1BW0LFjdBHt08e/EgkYxttwVNqguZlcdkFBQH4+/UBrtSTkQkJIgISHd+4NlZItOHgwva+ro2WWhXtdITGRhIbihgwLI7EVEGBfbGg0JqFnD3VsrT+1NmptpeuzXk9Wwb59yR3NAo3xI/i/2R5RUfRQ+nZWV9PFQAmsDQqilG5/vCi4EIeWHF+OWpAlTZuchOT4TUZrl+WzO1GsdOrCucnx5VbdrQpsPXMD1ixk1qxq7izKGxtLLr6tW8lq0txMP8hlZZTBJwT9WPfoQW6ufv1sfy+PHCHh4mo5BoCSHE6dIoGk15OFT8qOiTR1Ky6+EXSeY8fof0yJO/PH6zDT7eH/amcID6eA5vp6ujCHhNAFobjYP9LVXSw7YeooYPqR0yab1tM65zPEHLlE1U3X5y1YaxRa5AatNIo0wLYrNC83hgVaV9EZiRcaDf2PKi47pT3PoEH0/vRpWldXR1l9hw6RWOvf32RZq6ig3pSNjeR6dFakqV2ELS2mwPrycpPrc/duylplodA1KPFz/fvzZ874Nfzf7SxKvIeayEj3pcN7uhWQkzFoebkxiEuNRdbsmcam5ZYo1jTAOQuaK1a2hfOnYN3WFWbLkuPLAZA4TM8sN+4vPbPSKPDc2bid8SDWLFZqF15EBD2qq4EDB0iwKSKtpYVciPHxFL+kNNcOCSHhVlNDr3v3ptIZhw+TQNPryTI3eDBZzZQYuqoqOnZAAB3z4EGysimNuFtaaJlez8253U1pKbnH/cl9yzBWYJHWEfR6ukC3B0tRZuku8pBYy16yHNrkJExLn2R8rVCmspBZCrSywiLjttPSJxl6dbqfeQvWGpMI1BY0BcWKx1azbk50NAm66mq6kYqMJIuLIrDq6ig7Ughad/IkCS1FuLW20vOpU7S+tJREWUuLyTWZkkLrDx40xYfV11Ptt5Ejqf5YRISplEhycvdLQOosevcmoa3TsSWN8Wv4v7sjKAGrDMN4HxoNZUXGWLHUKq3OGhpMVhklk/TkSQreV//419SQVS4lxXw/hw7RtgEB1Dro999JuBUU0PrmZhJ1QlBcK1vU3ENUFNV1Yxg/h0VaR2hpaZ9IU7sUbbkXPWhNA8hSZq2sRlyq438ZZxqqu4q6rIbagqZNTjKbX9bUycBUtx+e8VfCwoChQ82XWXOpKklEagoLyVJ21lmmODUpqc6bTkfWOCHIahcSYioY27ev+X70euot2a+fb5bB8AR8g8x0E1ikdYSWFtdN7ZaiTB0LpgTwuyLOLLsIdAKWYk0RRurlarfomOlDsG2Va+5OR+5Jy2bsilArKywyFq9lmC6hqYni1YKCSFSpK/QPH07u0eJiSiwIDycrXEAAWdisCcA9e2hfBw9S6R92iTpGoyFBzO5Oxs/h/+72Ul9PJQEGDGi7Th1vZk902cqqtCXk1Os7IshU47PXrEfW1MnIXrPedDgL0aW2VFlarmyNUYhLDTR2GFBQZ1w6izrDU5lrab4OC7NnqSZR5vkEDMb/OXKEhFhSUtvabkpyUUKCeUuisjJyjR440DazNCCAxF6PHuwSdRal5ZU/9BllGDuwSGsvJSUUw2LtLk4RC5b1ouxhmUDgaIwjIWdte9U2OQX7zF5bs4pNS59kliBgKcIsLWtqxkwfYraNGmviTF1awxFZUyc7FrcedhczforSbmnYsLbZ3vbQak0N0quqKJkhNJTWSUnWtt69Tf052TpkH42GHocOkbuZYbwcIcSZAEYAMJrepZQfOBrHdvX20qOHp2fAMExXU1pK3/32iKj+/akpemSkSaCdOkX7GzeOLG9BQcC+ffb3w1CoiZRUToVhvBwhxFMA3jA8LgLwDwBXOjOWb9faS3Aw3f0qGWHWsGYVU7vk7FnLrFmB2lM01zDGrGSGwYo2LX0ScgyLpqVPou0s3ttyY7Y5jI1tLDsQWEMpSDtvwVpjYkKH48zYisa4G72e4tESE00iy1XUPTx1OkoYqK83JSUcPUrWNHs9Nrs7dXUU7zdkSNt+qAzjnUwDkApgm5TyNiFELIDlzgxkkdZeYmOpLUldnfVWLq4mAai3VScRqPdlCycEndp1qbxWCzd7hWktXZbJ8eVmGZbWYtaUArOA49izwpJYY9yaMX7NMkPTFYFq6/Ni4cZ0FCHoxkyJieoIgYGmzgkKffqQlYgFmm0aG8mCptS8Yxjvp0lKqRdC6IQQkQCOA0h0ZiCLtPYSGEhxKXv20MU6LKztNtbEgjPCy3KdK4LDzv4V65gz5ORtwLT0SWYCTC28LJMBjIc3tIdSRBxZ2KxnepoF/YNKdyiWNCVGbd6CtW22c4iXljVhfByNhtpP7d1LIi06mrIx3UldnXlDdKYtSqcXS4HLMN7LZiFEFIAlALYAqAfwqzMDWaR1hKgoKm5ZUEAuECVOpamJXBi9etm2cjkqxWGJq5mLHewnqu44oAg1dbslSxSXpTqZACArW3pmJTIy5zg85sLsWViXuxgAkByvdBdoe6w2WGvubQtbIpbFG+MMiYlUXiM8nLK76+upr6+7ymaoux4wbdHrSaCpy54wjJcjpbzH8PLfQoi1ACKllH84M5YTBzpK794UEFxSQnWO9u+ndiUhIVwRm2H8jbAwujGLjydLTkMDdRnQ692z/169yN3prv35G8ePk0DmMiWMDyGImUKIJ6WUhwHUCCHGOzO2Uy1pP//8MxYsWICDBw9iwIABuO6663DHHXdA+Ful6KQkusPW6UyxJDU1QG2t47GWFhx1KQ5XrWFWtrcWa2bP7Wm5rqywqI1rMy83xqqFS93o3FrpDWdQW9zycpfZ3tCeK9kZ7LmhGcYZgoKoH+f+/dR9YPjwju8zKoqyPU+dYrenJZWVZLkcMYIL/jK+xlsA9AAuBvAsgDoAnwA429HATvtPLy0txeTJkyGEwJ/+9CeEh4dj8eLFuO+++6D3x7tEjcY82FfJBLPEUVyULVeoIxFhQ6BYxpUBtpMEnMWRC1IduwbAKVengpLQkL3EQeKLpduyg+5dhmkXGg2JqooKYMsWSibasgXYvLl91rDGRnJ3skAz5+RJoLqaiodzUgXje0yQUt4LoBkApJTVAJz6R3arJa20tBS7d+/GgQMH8Nlnn6G5uRlff/212TY1NTWYOHEiZs6c6c5Dex+BgW0vJo5ioGwlC7RToKlxVErDlnUtOb4cyYZSRJZZmur3lsLNUqipUWeZKszLWoaF2bMQ2bAJABAZD5TmxyAvNwZ5ucusJw9YZtCyUGM8waBBQFERWc8bGym5QEqKXbPWkcQeJ06wq1NNayt9jkJQopa6UwPD+A6nhBABACQACCH6gixrDnFapJ06dQq7d+/G1q1b0dTUhJiYGMTExKBXr1746aefsHLlSuzbtw9nnXUWhgwZgkmTJmHWrFkYOHAgevbsid27dyMvLw+DBw/GypUr/V+k6XTA4MHmbUvsuTCdERjtECEOLVJwPuvTqSB+kLtT7frMsFivCDGAjqvO6lQnJzjM6rQsVeIqluKOXZ1Me0ky3AAppTn27CHrmqsiraXFfu3F7saxY9R4fuhQT8+EYTrC6wA+A9BPCLEQVDdtvjMD7Yq00tJS3H333diyZQt27dqFgQMHIi0tDREREaisrERlZSWqqqowZswYPPPMM7j44ovRw0Yl/lGjRuGGG25AXV0d3n77bSxfvty/hVpkJJnnq6q44CLDdBeUWKnwcLKqbd1KGZvDhjk3Xq+ncaWlQExM93bttbbSMws0xocRQmgAHAIwF8AlAASAq6WUe5wZb1ekSSkxcuRI3HLLLUhNTUWYtVpgLhIREYFPP/0Ul1xyCc4880yMHj26w/v0SgIDKRNMrzcVp3S204Ab3XZK4Vlbrk5nrGiWbs70zEqz5IHCklhjXTRrbs7sJcuRNXum8dxM+1ts3E9ebgzmZS1z/sQUOvJZsXuU6SwSE0lo1dSQ+9NZoqJojE5HLtSICMr47NmzkybqxdTVtW1gzzA+hqGI7ZtSyjEA9ro63q5I69+/P+677752T84Wo0aNwrx58/Dyyy9j+XKnOiP4JqGhZE0LCXH+YuNG4ZCTtwFlJbZjOBwJNG1yEgoLgfRMEl6KoCosiUVcKsy6Digoy9TrjMLN4J40NlLXapGRCTNxpgg/V5IN2oWt7FB2eTKuoNdTZqdS6DYggOLRlLiyHj1MLZ+cQZ0E09xM8VgVFZSEFBBAFvrISBJyFRWmcQEBVIG/qorGBQRQ8oFSziM4mNyoUVHUUik8nCxVx47RDWR4OGWU6vVkwbPWRaWrOX2azqW+nubHML7Ld0KIawF8KqWUrgz0WDHbkSNHYs2aNZ46fNcRH0/9+LZupSbKlthqBeUGlN6c1sphOGNBm5Y+CdmqsXGpgUarnDoRwfJ1e3A23s1tcMIB4y4CA8lyptdTYPuhQyTUWlvp2VlXpyUhISZXX3MzlfQ5cYJqMgYGkoUNIKtbQADdECpCLjaWnpub6VFdTY8TJ0g41tTQPiIj6Tk8nMRafT2JuCNHqB5cexrJu4s+fWi++fn0+boa38cw3sNdAB4EoBNCNINcnlJKGelooMe+ga2trTbj1/yOuDi6I7aGo/ZPHcRaE3VXyJptihusNWRlWssUtVymHpe9ZHmb5AGFnLwNRvEH2M8KdTu2uj4wjLPodGRFS1J9Hzqj0GpICD369XNtXKThN2DAABKRynyPHaP/f2sxbzt3kuXu8GGyroWEeKYFk0ZDYjMkhMQjw/goUsp2m6Y9JtL279+Pod0lIDQwkO5wFXcIwzC+i05H3+XgYGDfPut9e70RdS1He1apM8+k5/p6annX0EBWQU8lMdTXA337eubYDOMmhBDRAIYBMPY0k1L+6Gicx0TawYMHMXDgQE8dvuvp3ZvuTrs4tsJaTbL2ouwjB6benm3WW1muTU4yK6BrORe1BS5vFZUsKSxZjuT4crfHpimN49vAVjTGGU6epNZEAAmXkBDviN9yN/X1lPgwaBBw4AA93N1M3lkaGsj1yjA+ihDiDgD3A0gAsB3ARFCD9YsdjfWYSEtOTsY777wDnU6H0aNHY/To0dD6c2xQQgKwfTtw9tm2rWmuNAp3EneIMzWKAFvXsAmAKTlA7d5UvwZg1nS9rLDIMBaoDRtvEn4GEaeOTasNG491uYtRWBLbZp/OYCkMbXZaYIHGOEt9PX1/g4LIMtWzp3/2kdyzh2Lgyssphs1TbZjKy+kGlxMHGN/mflALqN+klBcJIYYDeN6ZgR4TaXfccQciIiKwfft2vPTSS9i+fTt69OiB0aNHY9asWbj++uv9q8dnSAgFv9bW2i5W6QPZhcnx5agNG4/CQvPllmJKEXPa5CRok5OMIkmbnAQ0UNxZWWERYENEmixok2zGs7mCXYuiD3zujBeg09H3NyICSEujgPyQEMfjfJGAABJn8fGUZOCpG+j6erqxZRjfpllK2SyEgBAiWEq5VwjhlHnYYyItODgYt9xyC2655RYAVJOtuLgYmzZtwqOPPooePXrg2muv9dT0OofYWOrpZ82a1glWtM6gNmy80TKmBPlnZM5p4+K0tHwptdLW5S42CrAM1XIFd7o3La1n7rYqMt2MEyfIojN6NFmWQkM9PaPOY9Qo4LffSKjFxXX98fV64OBB+pw9mWHK+DRCiCkAXgMQAOBdKeUii/XBAD4AMBZAJYDrpZSHhRB/ArAI1F+zFcDDUsrvDWP+ByAOgNKcO0NKedzBVIqFEFEAVgP4VghRDcCpUghe898vhEBiYiISExNRWlqKr776yv9EGkDirL7elD7PMIz3o9PR9zY1tXuIhrIyEkqeOlclC3X4cM+5WhmfxtAr800AfwJQDOB3IcQXUsrdqs1uB1AtpRwqhLgBwIsArgdQAWCqlPKYEOJMAN8AiFeNmyGl3OzsXKSU1xhePi2E+AFALwBrVXONNjRdb4NXXm2mTJmC559/HlJK/3J5HjhAdZPq6iiJwMLNlr1mvdUSFOraZO2JzXIXStC9UjtNKZuRgbaWM0uU9bYsZWzlYryawECKP6usNJW18Gc8eSOp01HSQnw8t9RjOsJ4APullAcBQAjxMYCrAKhF2lUAnja8zgGQLYQQUsptqm12AehpcFO2dHRSUso8K4u/A5BmbXuvFGlDhw5FaGgoduzYgVGjRnl6Ou7j1Cm68Cl3p+ritWVlbQSaumq/4mJcl7sYQBdU5LeBzeD7duJJ0ckwLqHVUmHqXr38Wzzs3EkizVON3isqqDNCYqJnjs90mD3FWoSEdG4rs6aWHhBC3AngTtXid6SU7xhexwM4qlpXDGCCxW6M20gpdUKIkwBiQJY0hWsBbLUQaP8nhDgN4BMAC1ztImAFm9Yor7UjT5kyBWvXrnW8oS8RHEzNk1usi3HLHpnWUIRb9pLlxjiwnLwNHs1ctIxH8xYUy5/ycLfAZLoZgYEk1AoKqNBrc7OnZ9Q51NfTNcoTpUVaWuj4SUns5mQcIqV8R0o5TvV4x/Eo5xFCjAS5QO9SLZ4hpTwLwCTD42Y3HMqmyPPab8GUKVPw9ddfe3oazqPXU9+8ggLg55+prYolSn+8oiJTbz+GYXyHnj1NGY87d5LVp6LC97/P9fXApk2U2KTTAf37e0YknTxJyQr+mjXLdCUlANTm2ATDMqvbCCECQbFilYb3CQA+A3CLlPKAMkBKWWJ4rgPwEcit2ml4pbsTANLT0zF9+nTo9Xpo3HmxaGyki487LgJKP72KCrpo9+hBQkyjMc/e1OupLdSRI4AQVD1bOScbli7L5uWKW1ApdaGQvWS5MV4t20rMWk7BPkxzU7ao0vrJsk+nU62c3NyX1Bks49wsa7IZl6e0s7ci0z0JCqL/5Zoa+k7rdMD+/dR5IDCQRJwvxa3pdCQ4GxvpmhYa6jkrWk0NMGJE1x+b8Ud+BzBMCDEIJMZuAHCTxTZfALgVVFh2GoDvpZTSkIn5FYBHpZQ/KxsbhFyUlLJCCNEDwBUA1rthrjbdnV4r0iIiIhAdHY2SkhIkuis2ob4e2LaNGvcCJJYUcRUcTIUTAQruDw+nC1ZEhHlfPoWqKmDvXrqz7tkTGDjQJLyOH6e2MUqG0oEDJFKSkugirhKd2Wvo70tCh9ydlgJNEUVKPFpyfLlxG6UGWbbSO1Ml+nIK9hmLx7ojhi1r9kyz+mcKZvu2Jca8qKyIIjZZnDEdIiqKHgB9548fp5uwmhpgwgTvdtfV1Jg6JgQF0Y1kdLRnym0oNDXR56lcnxmmAxhizLJAmZkBAJZKKXcJIZ4FsFlK+QWA9wB8KITYD6AKJOQAIAvAUABPCiGeNCzLANAA4BuDQAsACbQlzsxHCHE+gGFSyv8TQvQFEC6lPGRYfYmtcV4r0gCgX79+qKiocJ9I0+noIlpZSa9PnqS7Rr2eRFVkpOnC2txMgqq0lO7w+vUzCSy9nmJSYmKsZ0D160fjjh6l42k0tMzJ3ndZs2e2qe9lTBhIm0HPmW1FT1lhkbGZurrhuTuTDLKmTkb2mvVm+8/J2+C+zFNrlkV1FqwbxF7W7Jm+XbxW/Rn48nn4E/36mZqf79/v2bk4Q2EhWftra8kCqNdTHUdPcvIkMIxvnBj3IaXMBZBrsexJ1etmANOtjFsAYIGN3Y51dR5CiKcAjAOQAuD/APQAsBzAeYbjVdka69UibcyYMVi5ciXGjBnjvp327ElWspAQsp7ZQmmaHBlJd8j79pGFTUniCAuznaIeHd2uzKj0zEoUlsQaK+wr7jlLgWYNy0r/gHlGqNnYjggdrbaNiLRc73bUQsQdRX8Va58vCRwvskQydjh5Ehg8mESPN1nSamtJPA4dSu9bW+lZryc3p5TunW9NjcnK6AwtLXRD68oYhvEdrgEwBsBWADDUX3MqpsCrRdoLL7yAsWPH4vDhw1i6dClCO1rhW6+ni5Er9X80Gv6BZBjGOZQQCW8reLt3L7kT//iDrmmnTgEDBpjm6c7Eh4YG6s5QVWV+DHvU1tK8vEnYMoz7aDXEukkAEEKEOTvQq78RWq0WhYWFEEJg7ty5rg3euhVYsQL45ReKRWtuNiUNeBFKIL5SfiM5vhzrchcj0tCEHCB3pWIJm7dgLdZtXWF1X+tyF6M0X4fSfB0AmL1et3UFiU03WZDUpS0U12eHSnGUlbk+L2VMe8cqeLsI9/b5MSb69iWLVZVN70XXotcDW7aQlSo0lKx8cXHAGWeQNyA4mB493VjTSulUEBdHYq201FS2pKTEtI2axkb67BjGP/mvEOJtAFFCiNlwIZbNy2732hIWFobnn38e48ePx6xZs1BYWIibbqIEjeLiYiQkJJgPaGyku8b8fLoofPopxVpcfjnd4XrZhUBxSQLmddLSMyuNr+dlLTMbk5cbg7zcZcbtlN6ZyaqmFYo4U7aPSw1EnmE/can0Z3dXIVnF/ekThWnVrk5fET++NNfuTkMDCSJvYfduuknV6UigaTTuFWTWCAujJCyNhm6ONRpKrIqOprCRffvoMwoIIPemEufLxWsZP0VK+bKhH2gtKC7tSSnlt86M9XqRBgCDBg3Cgw8+iPT0dDQ2NmL69OnYsmULzjnnHDzxxBO4/PLL0bt3b+zatQvnFBcjtrWVzOeFhXSRCAmBbGlBXkEBDhw7htsfesij55NTsM+YWagWU2oyMudYtQ4p4k3J7qwNG28QaNbLYKjFniLiasPGt68Nkw1rlZJFCjv7tGyk7mif7cKZ5AJlna+JHntZs74UW+evtLZSFndAAFmsvKUjQWMjxeDGxzve1l1oNCTIWlvbZrmedZZpTrW1wKFD9DxokNd5ORjGXRjcm99LKb8VQqQASBFC9JBSnnI01idEGgA89thjePTRR3HOOeegt+ECuHjxYuTm5uL111+HEAI1NTWYO2YMXkxMNMaGNPTogQ9+/BH3vPoqAGD88OEeF2mRDZuwbusm5OXGYOH8Kcbl8xaYOixYWs8U8nJjkJ5ZaRRleat0ZkJMea1kdM7LWmZMSFDGbFt1wHmR5qIAUMSYkuxgItboDs2aOtmlfbqMLUHjrxYpFmqep7GRsrcHDaJCsN6EJwrDBgVZDy8JCjJluffuTYlZR4745/eSYUz8CGCSECIa1Fh9M6iRu+1sQAM+I9IAQAiBtWvXQq/XIzo6GkIIPPjggwCArKwsvPnmm6jRaIBevSDDwvB/v/+OuUeOoNKQyfT1889jym23efIUGIbxRyorKQ7LmwTa9u10s+qMAKqupjJEvXub6j+GhLS/blpgICUnOLPd4MHtOwbD+A5CStkohLgdwL+klP8QQmx3ZqBPiTQAiLKRop2dnY3ZgwfjmgULIC+7DP8sKMDCo0chAFw8Zgz+8/jj6Hf++V06V1sYa52lmaxnikVNsYQ56uOpuDvTM+1X+1f2V5qvM4tZW5e72G3108oKi4wJDyaLmfWCvF2GpWXJWtKEr929+6sl0B8IDXVOlHQlzc0kvJypz1heToLpxAmK3W1pofi69pYSUfoU19eTa5NhujdCCHEOyHJ2u2FZgJ3tjfhVEMCo9HScFgLjV67ES99/j8DTpzErPh7rFi3yGoFmycL5U4wCTXkuLInFmOlDzLZTxJbiunSWjMw5RhcpJRyQ+MvLjcG63MX2MzLd4EJTt5GaljKsc6v824rZ8ndhw65Oz9OzJ8Vgbd7cJYeTUmLp0qUoLi62v6GzpTVCQ03toFJTTRa09gpPjYaEmreVImEYz3A/gMcAfGboejAYwA/ODPSrb5AQAqv+/nc09uuHwQkJSLniCjza2oqAUaM8PTWnycicg1pDBX9LFKHmVK9MFXGpgVYtc7TMeuKCK2iTk1BYaH1dl7ResiXCnBVnviJyHCVE+Mp5+CNRUUBdHVmvjh0jt2EnxoJt27YNt99+O1599VX8/e9/t75RdDTVRnOWPn2orhkADBlCZUSKi+l1ezh1ipMBGAaAlPJHUFya8v4ggL85M9avRBrS0jA+LY1e//ILbgoOxj8rK/HcV19RCQ4fwFbCQGFJrDETVJ0o0F4culWd+cE3iIayNab+skpf0U5PDrCYg1VstZhS1vmSqLFXNsQyY9WXzsufSEyk2K79+8mKNGGC23Z99OhRvPHGG5g6dSqGDRuGxsZGAMDJkydtDxo0iOZTWmo/tkynI7dkRYVJpAGmEhrtoanJ1BeUYbo5hl6dcwGMBGC8e5NSXuxorP/e5rz2Gub37Yu3mptR9dRTwFdfeXpGDMP4O9HRFAcW4FS4idO0trbipZdewgUXXIAhQ4bgwgsvBABUVFTYHhQUBCQkUKsqWzQ0UOmQsDBTyyiFuDigR4/2dSNobmaBxjAmVgDYC2AQgGcAHAbwuzMD/VekvfgiBk2Zgmt79sSCY8eA118nobZrl6dnZhdrVjIlPi09s7LNerUlLC83hroTZM6x3VvTgBLXtnD+lPZV7ldZdNT1z9SlPrwSX7OgAb5b26070tpqqhPmRoYMGYITJ07gqquugpQSSUlJeOmll/Dbb7/ZH9ivHwmt6mrr64uKSKBNmEDlMNT0709C68QJ1ydcVcWuToYxESOlfA/AKSllnpTyLwAcWtEAf3N3qhk4EFiyBAtiYjBy8WLcXluLkUpzdC8mI20G8nLXmi1TsicBkwiy5aZUu0uVuLbk+HKU5rfd3mbD9naIGCU5QDlmtsEF2mVuT8D3xJcrOJvZ6c+fgS9QUkKuTp0OOH6c4rzcJFb69OmD1atX4/Tp0/jkk09wzz33oLKyEi0tLQgODrY+KCiIrHrFxdSBZeRIk4WrqYnmeuaZtg8aEEDN0mOdT1YCQIkU/fq5NoZh/BclA6dUCHE5gGMAnKp47fe3Ov2uuw5PTpqEe/V6tCYk0EXKy7G0lpXm68wyOh2V51CPs2bVWjh/SsfFk4XlraywyNjD05XsU8Ak6LLXrEdOwT7kFOxD9pr1NnuUGrEULf5qaVKElz0B5osWQn8kMZHET3k51RvbuJF6Z7qRgIAAXHfddYg3dBHo0aOH/QG9e5NoDAujlkxq7N246nT0sLSwOYMQriUtMIx/s0AI0QvAHAAPAXgXwAPODPRfS5pCWhr+umgRvnvoIWQ88ghy3nkHfZK6sGaXRdZd9pr1NltBmcprxJrVP1N6cypWNGtWMRrXdr/WarK5g5wC08V+Gkz9O61lpTpDtir5QKGwJBaFJet9oydoV2HNosbizHsIDKTm5TodcPQoLXPVCuUEzc3N2L17NwBA48hSFx5O1rwePUg86XQ0z5496fWhQzRnSwIDKR6tPS2uWlrsC0CG6UZIKb80vDwJ4CJXxvq9JQ0AAsePx6evvIJzxozB+Guuwe+ffOL2Y+j1etw5ejQGDx+O6qoqt++fYRgfoqWFBNCgQRS870a2bduG8ePHo3///khJSXE8IDKSrGgBAeTqVMSjTkdCypApapWAAOqt6QyVlfTQ6yk2z0bhcYbpbggh+gohHhdCvCOEWKo8nBnr/5Y0A5px4/DCP/6B1JQUXP300zj3v//Fs7feijMyM9u3w9JSyMpKlFVVISgwEF/98gvW19TgpE6HHzdtwqlBQ8xiwgD7bkql2KxiQVMK0AIUZxaXavtPlZE2gyxl+eaWMnVf0Dbv21NXS6s1JiRY6/05LX0ScgCj2xMgC5krrlVLS5zLVrTuUC/Ml7smdBeUSv2d0Gh9xYoVCA8Px44dOxAZGYl9+/Zh2DA79QjDw6n10qlTVGajpoZi52pqaJ29EJDAQCrP0bev/Unp9ZScEBZG2aK9e7NIYxgTnwPYAGA9gNOuDOw2Ig0A0K8fbnjsMVx5wQXI/vhjpM+Zgyv++1889fTTSBo40KldSCmR/8MPWL56NXJ+/BENzc04dfo0mlpa0HrqFO4891xc9Oc/44OVX7iU5ajuBGC5DIAxWcCaq9OaGzM9sxLZa9ZDm5xku6Csi4ImJ28DCTEHmaPa5CSX3J5KbTVXx9meQAeEmq+JPF+aa3dCZwg9qK93u1CbOnUqli1bBgCora3Fk08+if/85z/2Byk9RWNigJ07ydLVqxcwapT9Uhn9+wN79jielEZDQi0piV63J46NYfyXUCnlI+0Z2C3cnZaEnnce5r7xBgpXr0Z8//5Iu/RS3H/PPcjfuhWnbbRBOZWfj8VPP42zzj0XV8+Zg5DQUHz12ms4/t13OJqbi/NTU3HjxRfj7ZUrERkZiazZM41tmCi2KtauNcxdxKUGGo+THF+OyIZNZvFjHWFayjCjKFALNfVrJYFAwRmhmpE2A8nx5VYFmq22VY6Eot0WUdYSDtTLu0MrKaZz6dWLXJ4HDpgEm5v4+uuv0dDQgClTpmDmzJn44Ycf8Mcffzgcl52djQeffBIYPZpaP40b57iW2alTFLtW7uB7rNNRvFtQEFnQuPwGw6j5UgjRLredkHaCO8eNGyc3d1EvOo9RUYHj27fjH0uX4suff8axigqcnZKCc844A+eMGIGJw4ejprERty1ejNDQUDz+l7/g/L/8xSxY96f33sP1jz6KBx5+AiHRvVGar8OY6eTutJUk4AyK2CrN12Fh9iyb3QicwbLnp9GN2B5LjMHtaenyVJZZE1bOuDzXbV1hNTPUsjm72ppnze3qVux9Pr5mdWO6loYGKn0xZozbLEunTp1CZGQkmpubcfPNNyM3Nxe33nor9u/fj88//9zmuN9//x3jx4/HgAEDUFTkorV6yxZyjdpzi544QZa01FTX9s24FSHEFinlOA/P4YenXvjnhSEhPTv1ONmLF6L4aJHo1IN0ECFEHQAJQAAIA9ACKschAEgppcMLQ/dyd1qjTx/0mzwZL0+ejJf1elT+73/YuGMHfsnPxyuffYZNO3YgtEcP3DtzJua/9VabTKrTP/yAv73wAhbfdRcqot0ff8IwjA+iFM2OjKTG5W7i9OnT0Ov1GDBgAB5++GEkJCRAr9dj27Zt+OWXX3Duuee2GfPqq69i0aJFeOONN/DUU0+hsrISMTHOlfEBQPFo9fWmrFBraDRkcWMYxoiUMqKj+2CRpkajQczFFyPz4ouh2CX1eXkQPXtCjB9vdcj/zZ+P0JAQXP/UU5j/ANX1Ss+sRN6qttsqgfvOlsJQW+HW5S7GmOnjEdmwqU0CgpJ0YI2F2bPomFnLMGa6ecHZ9liBcgr2YZpWa9WKVlZYhGyLZAnj/LeusF081wmU4+XkbTC31HW2Jc0CxXWsdv0yjFWEIJdnY6PbLGkhISG45ZZbsHv3brz11luYMWMGbr/9drz00ku48cYb8fPPPyPBkE0qpcSLL76IZcuWYfPmzUhMTERBQQH+/ve/44MPPoAQThohEhLof/3ECds9QFtbqTAuwzBtEEJcA+B7KeVJw/soABdKKVc7HNvt3Z2ukptLpv+kJFS2tODMa67BfdNmYNy1Q5wuMtse0jMrjfXS7LlQ1aJsYfYsrMtdDIBqrSmva8PGk+hpR3anPRTx5CgOza5YMxxD2VfW7JnIXrLcrKOBkmCgHCcjc45T03cW5XNS/p4L508xFtY1mzs3NGcsOXmSMhz1eipmGxQEnH++bQtUO/jxxx9x11134dSpU9i6dSsuv/xyTJ06FVJKvP/++5g0aRKOHz+OgoICBAcH48svv0R8fDz+/ve/46KLLsK8efPw4IMP4i9/+YvzB928mYrT2soiraujzNEJEzgezYOwu9M7EUJsl1KOtli2TUo5xtFYtqSp2bqVfnAHDbJe3HHzZmyfOxfPFhVht16Po3o97r3tNoy7oq1AWzh/iluLxxaWxAK5i9tkdypCLC83xkyUpWfCTKBRPJsy9kDbWC4bgiN7jeNisuoittrkJBQWmq9XizZ7As2yoK06Fk2dVNAmwaC9JSmsiSut1hgXZywobNhnYUksMjItPicWaIya4mLT640bybpkxQXZERISElBZWYkLL7wQmZmZ+OijjzBhwgS8//77iI+PR11dHfr06YPExESMHz8eGo0G9fX1eO211/DJJ5/g66+/xkUXXYSzzz4bZ511lnMHFYKsZbZgYcYw9rD2BXFKf3VrkSa3bEHLF18gJCAAePBBSjWvqgJCQuiO8Y8/gL178fHhw6g4eRKbfvkF64qLMf/cc/HcX/+Kn/cchK5XNPJy24p5awLNVeGmztIESCSkZ5r37czJ24BIUBN25XWbuTiRcKBYrkrzdYhLDTQKM2fqlCn10QDzGmkKatGWkWZ9H2SpijUbqwhJy9IcdsuKdBSV6MrLjUFcaiAyQJ99m+QHFmjdA52ORIgzQiQwkCzt+/ZRHNfQoeQmNLRwcpZvvvkGwcHBuPDCC9usGzx4MBYsWIAPP/wQhw8fRnNzM/7zn//guuuuQ0lJCTQaDQIDA/H9998bY2iLioowYMAAREdHo7S0FC+88AKysrKQl5fn3ISEoMK29s5br6fPylHGKMN0PzYLIV4B8Kbh/b0AnOoX121vf3SbNuG2J55A+IIFuOzDD9H088+UZt67N3Rpafjovvtw07334qqXXsLTb7yBnYWFGDxkCAo3bkTWN99g5NVXo7VPP+gd9c3rJCIaqhHRUO2RYzNMd0J+/z3q/vc/5zZOSQHGjiXBcuQIVeA/csSl461YsQJTpkzB2rW2b+huv/12VFVVYciQIdi+fTsuvPBC1NbW4vTp06iupuvCokWLjNv3798fjY2NOOecc7By5Urccsst2Lt3L/Y4UwMNIOFlL4YtOJge+/c7tz+G6V7cB6AVwEoAHwNoBgk1h3RbS9qvf/yBTbt24Z+PP4NP1/0H9z7/PN669VZ8lJeHFx54ALE9e+Ivl14K6HToM643rrz6QXz560a8+MavAH5Femal1cKylqitZ666P5XYM+U4C+dPxrqtK8jSNXgU3dmeOxHoMcno2rQkI3MO8nKXtUkuWJe72OR61GrN4txK83WmmLCpk03B8qrgfTWW1jNnC9JaNlBPji9HLUyxZzmGY05Ln2RMSABg34pmrbelre0UtFpkL1mOrNkz21gds6ZOBsrKTFY0ZRzHo3UbDgcHY/ANN6Bx/3707NnTvkXt6FGgXz+q5N/YSO9HjXL6WDqdDjNnkvV6wYIFNrcLCAjARRddhI0bN6K+vh51dXXQaDQICgrCiRMnMGjQIPzxxx/GbgTR0dF47rnnkJWVhUceeQRBQUG4//77ce+996KpqQkbNmxAoL24ucGDyULY0mI7QSAmBjh+3OlzZZjugBAiAMCXUkqXenYqdFuR9uq730HISJRWJ2D1/EW4cu5cxNx7L84dORLv3nknLjjnHLyYU4hzLq7GjuZkrNv+HzT3GQ/qj2q/xVN7UdpAqVtCKeTlxqClpQXPvbAa1SfrsX/YYIwYNAi99uzBz+vWoaK2FkPOOgu9e1Zi1LBEBPYIRPoVDwAgt2lG2gzk5a41219GGgkl9bko9dSMokurBQwiTV0bTV0PTZucZIpxSyfBaFnvTOmYoG5dlZ5JbsTSfB0lRqji1ZT2UpbZm8nx5c61mrIj1trUeCsrgzY5yXg+xvZZhvH2asJxrTT/J2HQIADAcy+8gAU33gjNsGG2XXp1dSTOqquB6dOBoiLaVmkTpeL7779HTU0N/vznPxuXKUVp3333XfuiCcD27dtx6NAhjBw5Evv378fQoUOh0WhQUVGB/v37o3///vjtt9+MLaPuvvtuXH/99YiOjgYA3H///XjyySdx+vRpBNhzZQJURiQwkCxltuql6fXAaZc63jCM3yOlPC2E0AsheinZna7QbUXam8/Mwohp09DSVI+3Pq3GD+vX41hZGTadqET6lAwAwNDwSOwwWHAoJmkYtuGAU/tXW9DUPTPtWdPU4qxNIkL2LLz27/dxurkZu3Zsx5k4jZoDB1Dz/fcYNWYMfty1C//5/nsAwLihE3H1udMBvIodzclIji83WK3M9zlvwVqkW9RApuPqUJp/AHGpgcZYMwVj+Yv0SaaepKt02LZK/bnQPtRYszoqx1Jeq0Wk+nja5CSzuLzSfB0wtc2mJhxY06wlTZSpkhYs/0bpmZXIXkL/B0qMXllhEZAyzOXepIzv0aN/f4waPBgvvPce/rFsGfb95z8YdN555qJLpwMKCii78/BhsjpFRlKMa0kJxaXFmt+4TJ8+HVVVVVBn2Pc01BqLiLBdXkmv12PhwoXYtWsXpkyZggkTJmDlypVGMVZRUYE+ffrgyJEjSExMNBurCDQACAsLwxtvvIGff/7ZuXIctiyIOh1Z0E6eBPr0cbwfhul+1APYIYT4FkCDslBK+TdHA7utSIsbOBAzpkxBwe4VGDDrrxDx8YgPCMA1Y8eaufO0yUlGAWLZwNweyg+9vfpglg3Qle2tCrWyMtx/9aW4/+pLce9dd6FPUxOeufpqICoK/f/+IPqG98dVE6chISYR/fvEoym0F1piJJJRbtPqZ6++GkBWq4z0meYuPpUFrTNLjiiU5uuQHL/JbJlT7bWcdXuqjpOeWYnkeLSxLAKm5A219dBd7bYYLycwEJu//hr//uc/8bd//QuDr7sO299/H6kZGaZtmprQUFuLo7t3Y3hzM4mWo0dJmO3aRQVh+/Y1EzoXX3wxcnLMb4MUcbZ3714AZC279NJLceWVV2LJkiXQ6/W44447kJ+fDwBYvJjCHH788UecYchIr6iowK+//oqgoCBMmDDB7qlNnDgRr776qnOfgzL3Q4eA6GhTA/WmJsr87N2bMuMZhrHkU8PDZbpt4gBSUvDKQw+hrqUFX//nA0/Pxmnkzp34fvt2XHrddcDEiaiKi0N1bQ0uv+w+jBx7OXoNHIWG8BjoNQ7cFwzDOE2Po0dx35//jCf/Rje+ew9YWNQjIvDMsmU444knsKOggKxLLS1ARATmfPcdHl2ypI0l6oorrgAAHDt2zLhMCeRfvXo15s6dizFjxuD48eO44oorIKXEXXfdhf3796N///6YMGECli1bhiuvvBKfffYZ7r//fgBA7969kZ6eji1bthgtc7ZITU3F8ePHceLECccfgtKDVAhy6x4+TMsqK2lZairF4jEMY4aU8n1rD2fGdltLGgAETZiAT15+GeNvvhl/ue4mLP3vR0BZmYXrzj6OrFGWbjx7iQTqfaVnVpp1KMhesx439QnDo6++ihCNBueMHg2kpaFg2TKMSE5GXGogirc1IzDAlG2quE+txbdZLrNGRtoMq/FYintP3Vu0M1DmqC5WmwEnmqu3A3VvVFsuZzWRDZuMrtdssMvT7xk8GP995x28vWwZQoKCMGzwYFqu05E7s74eRVVVGBgZifTPP0fZOecgqGdPoKUF72/ejMoff8SiDz802+Xw4cMBAJs3b8aVV14JAPjkk0+wYMEC/Otf/0JhYSG0Wi2efvppXHXVVfjiiy+wceNG/Pzzz1i+fDl++eUXVFVV4eabb8a7776Lvn37AgCuvfZaXHvttU6dlkajwdlnn42NGzcaRaNNgoIo3i40FBgxAti5k0qNBAYCZ5/twofJMN0LIcQhUA9PM6SUgx2N7dYiDQBiLr4YX77+Ov70179i0eOP45GFC21uG5ca2EaQZKTNQEaa85mbtrazJqTU4u6mazNx0fnnY2KfPlj/yCMQhYV0Z376NIqKivC3u24BAMyZ/RaCg+jueeH8Kcgp2GfMtlRcdmoxaO2cFNZtXYGykljrrZfKysybtBuarlsK3DHThzglepXzrw2j9ltlhUXGzghqoahuP2WWsKDMowMoQk1JeohLhfG1ZZcDErrlKM2PYYHWDahpbkbWW2/hzTvuwN/eew+jzz+fLGX79wPNzZAaDX7evRtfz5mD8c8+C3HeeUBCAl766is06ax/v5TEgO3bt+PKK6/Eb7/9hk8++QTbtm3Dfffdh9LSUmRkZODOO+8EALzxxht45JFHEBERgb/+9a/461//2uHz0uv1GDRoEH777TfHIk2rBaQEhg8nYTZwILk5Q0O5mC3D2EfdBSIEwHQATjX77vYiDQDOuPZa/BYaiivvvx97Nm/GO2vWINiQZq5uw+SqxUixhCmlJhzFcFlmYKp5/fnnMTohAf+eOxciPJwKZQI4Z/RorH3hBVz48MPYuGkTfvhlm3GMuoK/kl1piRKLpbbgFZbEGgVYRlmZWTkOM9SiqKzMWC7DUixFZlJMmTHo3waKQAPMM0bVWZ5lhUXImj2zjVgDLEpzuNJ5QHUO6hZQypwBspyVIdZMwNEzf4W6Ay8uXoyp556LwwcO4OrkZGgqKuj/vLoaKCzE4UOHoG9uxqlDhzAsOho9tm0DQkORt28f0vr1w88lJaitrUWkqofnjh07AAD79u3DPffcg1WrVmHp0qXG3pvHjh1Dc3MzDh8+jKKiIuzatQvTpk1z63l99913WLJkCcaMGWO35AcAoH9/eihERQFnnunWBvIM449IKS1dV/8UQmwB8KSjsXz7YyDhssuw4f/+D7UtLbj28stx6tQpT0/JSFNzPZ5ZvBiJycmob2qiVPfJk4G0NEAIrNywAXOnT8dIW6nxDMO0m+9Wr8Y7q1bhmZdfxqf79uGasWOpG0lxMZXYEALb9+xBalQUdjU0YGRMDFmcDh9GdmoqdlZW4tqrr8Y999xjzOSsrq7Gc889h7lz52L58uX48ccfceDAAUydakpbTklJwdy5czFu3DhcffXVeP/99403j+5i0ya6gTp8+DAKCgpc3wELNIZxiBAiTfUYJ4S4G04aybjBugWnNm7ElY89Bm3fvlj68cf45MefyEKj1WJe1jKjW05pE+TIzekoZs0SW62jJo7X4K1ly3CgsBCbHnsMUaNGAZMmAVu3YuyNN+K1F1/E9hP1RgvYvKxlGHP+Ebz5r8+wZ3cVbr/+mTbzUrc6UqxuZi5MV1EXeLVslO7gsxozfUgb12VOwT5j7JfZYdSWM0uLma0+npZFaC1R5lxWZmaBzJpKBYStzaGssIhdnX6MXq/Hv15/Hc++8w4+fvttJMTH4/wrrsDR++7D9u3b8fSmTfjqzDMhEhJwMCQE5y1bhlsvvBDhJSW4LTYWuSdOYHZoKC45cAB/ffFFLMrOxqRJk3DHHXfgzjvvxMSJEzFz5kykpaVh9+7dxuxMS3bv3o2YmBjEWpTwcAeLFi3CY489httvvx09evTAv/71L7cfg+k6uMG6dyKE+EH1VgfgMICXpZQO74zYV2NBjwkTkPPcc7j4zjvx0N1345zp1+P/PlyFpvAIKgprCGIvXLLcqTg0e7XPrDFvwVqzhAGF3zbpkTbiFgzo/SUeXrkSSwz1jvR6PXYdOoSr/vIXBAkN3vnHMxA9euCPPXuMXcLOTbvc6rwAHdbFk2svayqVCTHrRNAeVGJHQZucZBQ+Y6YPcarvplEoJY8HUGRWJ00Zb6xRZqv6vzWhaUvEKYVrVWU1tMlJxuWl+bq2QrKz+ocyHqWxpgbfff89nnz1VYQEB+Onb7/FsLFj8c+HHkLqsGHoERSE7+rq8HVZGe4MD8ebycnoGRGBmtZWlFRU4JxevfDv6mosyM/HiHPOQbRGg4qtW/Htt9/itttuw1VXXYU///nPWLRoETQaDezdKAPAiBEjOu1cH3roITz99NN47733EB4ejn/84x92a7QxDOM67e02ALBIs0rYeech9403cPnf/obK6mos+dOf0GPsKOTUNajaL8W2sZJZE2OuWtLUWCuCGxg6ER//8QyW6PXA1q3QaDQov+MOnPzlFzRddx0e/vJrrPn1J0RF9sWk8VfjjCFnIzDQfn9RpfsAYMiktGdFU1ooWbMgWRFoxu1ShtkvQGvtUKpWU4pwrA3bh+w1682buDuYr9k2dmLVlMK5ZtZFlRCLbNgElA1rs5+cgn1WY/EY36Cuvh4/b9yIH9etQ97Wrdi+fz9Sk5PxxCOP4JrbboMwVOO/dfp0/HftWkQtWAAJ4MPbb8eqjRsxbOVK1DY04L6RI5E4YQIeffttBPfogbsmTMCte/agV1AQhiYmIjoiAqtXr/bouVoSGBiI6OhonHXWWdi8eTOqq6tZpDGMmxFCxAB4CsD5oCzPnwA8ayVWrQ0s0mwQc/HF+G7JElz/8MO48p13sGrKFEx77jlj5fnSfJ2xir4ixJTA94XzhxlFVV5ujFXLmDUsi9ta214ACAtWxYGkpaHX1KmI7N8fj+/YgZ927MasaU+gf6zDzF7j/NTHsnSDWpKTt8G+i68jQsVS3CnWLZiSL7blxiAuNZCsaYpVy94xbVnTrLhCs6ZORvaa9cYuC1mzZ5qNLyyJRUZmW5E3LWUYCzQfo/LwYfzr/ffxeV4e9hw+jHEpKbhg7Fg8+8ILmHjRRQgLCzMfoNMhOj4eP2/ZgurcXJTt34/hI0bgpscfxy9ffIGxISHomZCA5nHjsGX7dtx97rmYOGUKkJBArZISEykj0gvp2bMnampqEBAQAJ2NTFSGYTrExwB+BKDUxpkBarbuMF7GO68aXkLYOedg9Suv4M5Fi3DVl19i7UMPeXpKOFL4C0YNHQoYmjADAAYMQPrjj2PD9u2YcdEspwUaw3RHNnz2Gf782GO48uKLsfillzB+zBiE1NUBKSm2BwUGAgkJEAB6T52K3no9LQ8Kwvl3303dBYYNQwiAZT/9RPXT6uupNZSXl6cYPXo0vv32W/Tr1w91dXWeng7D+CNxUsrnVO8XCCGud2YgizQHBI4fjyWPPYapjz6KOQ8+iAtumQUAKM031f5SrFFKPTDL/p72LGjOWtkAIKimFD/kr8dPS982W66PjcXWnTsBALXC1GlgYfYsh/sEYCziCsDcimbFtTnNivVKcT86E2vmLPMWrLWosWbuMs4p2AeHxQisuTbVVjQr1i+zGDfDPjIy56A2jEp+KIV0zZqrc5N1nyEvNxfTH38cH//737jkhhvatxNLi1hICDBsWNttlLZJXs6nn1K3mszMTBw5cgSpqakenhHD+B3rhBA3APiv4f00AN84M5BFmhMEnH02PnrySZx5002oq23C2IxMx4NUKGJJLYYA25mc6vWAScD9uPN/uOai85F6uXkigObttzEoLAzz5s/HDdasfQ4ERBsxZ9heycw0y3Y01CjrDCw/i22rDmDM9CFmRWQzMudQcVtnBKEhQxSAsSguAMAQQ6Zeh7IyrNu6ggroWu5Hq6Vt1PsAfT7J8eXGzE/O9PRudm/ahGlz5mDlihW4ONO173B3YODAgSgqKvL0NBjGH5kN4O8AlLYjAQAahBB3AZBSykhbA1mkOUlUejq+e+MNnH3LrYjrFwshbN9tWlbZtxRnzqIWLWHFu7H94K94b8FH5EJRc8EFGL92LUptZYnZsihZe63CVnKAUSCpYsbKCouwrmFTmyQJJV4vPbPSataoutCvtSSLbasOUFatMlZ9fCdQZ2Oq570udzGgFM81nD8V8bXSXUFBdWxFwAIwCjXl72UZW8h4nlP19bhl7lwseOYZFmg2SEpKwuHDhz09DYbxO6SUdrNxhBAjpZS7rK1jkeYCKX/+M1YWF+P2Z5/FLRdHIKCfKfZLLTCmpU8yExIdbRkV0lSHT3Z8j1vOPRcDrbVuCQvDtLvuwoLXXsMDDz/s3MlYqyHmIor4XJg9C0ifZBAu5oHHymeitLmKSw00ZmaWFRaZJV+QRcp8vLMlO2xiI3GA5kVCelo2WdKypk5u6w5VuzQNra8AyjyNNBOlHHDtzax45x30io7Gnffd5+mpeC0DBw5Ed6uLyTBewocA0qyt8O6IVi/ksr/9DXNmzsTSde9Anuh810Br6T588eMKFFeW4NnHHrO+UVoaLklOxpGiIrz44IM4fvx4p8+LYXyJPcXFmHzRRRDCJ2pfeoQzzjgDv/76K+oNLecYhukybF6Y2JLWDuYsWIDmlha89elruHvGXYg+YyQyMuegsMTkAlMHk5u5vwydCwDbljMpJaoObcWGXXk4XH4Q9984HQ/MXIiI9HSbcwo6eBB5992Huz78EB+tXYv83bsdn4jKyqR2OzrrrhszfYjZvrKmTkY21tvsz6lYy2w1XFfGA+blL4x1yABT4H4HrGs5BfvMGsu3KeBrWVNNZXVUF9KNjDe3oLKb03upPHkS8T07twK6rzNq1ChkZGTg4Ycf5s4DDNO12KxozSKtPYSHY96rr2JAXBzue/lFTLvsGuSoiquuy11MYid7VtuaXGgbs6Zw/qXH8fGirdhbugmVra14YMYMzLrySoSdd57jOen1GCwE1qxdi15nnAG9Xg/N8eNONxo3iZQV5ivstF0qKzRYElWZjo6Emlp8KcLQWgFdYzup2TMxTSV4yUWqwzZQrFp7gvWnpQzDvFXm2bkZ1gzNFt0JspcsN7XNAsWwKQkN6ZmVpvPpSMcGplO4ND0db+fk4G/z5nl9SQxP8uqrr+Kss87CunXrkJGR4enpMEy3h0VaewkJwc3z5yNt+HBc+/jjKH1qFy6Zfh+CgoJQWBKLuFS0ER72EgjKCn/F/au/gjYwEI9deCGm3nsvAs4+2/n53HQTsHUrQo4eRXRYGErz8xEfF2dVJNIBrcehWQ3uN3RZUIsSs1IdSjbomvVIji+nFlOG7gJqa2FG2gyz42ZkzkH2kuXIsNahwHKeqvZMAGwmIrSXdVtX0P4sYvVyCvYZi9Wquxyoy5QAi80SHqwKPsajXDF9OmY/9xxO7N+PvsnJnp6O19KrVy8sWbIE99xzD/bu3YtALy3AyzB+RqutFfwN7AgaDUZedx1+j4vDnc8+i7f+8Rieuv8GxA4fYOw+AJhETlwqlWpQhE5ebgwSE0/g4y8+R1FhAbJnzcLlN94IpLXzV374cGDXLkwYPhx5v/6Km/78Z1puS6g5Q1mZUQxlpJGYoUzMctM2hoB6pWJ/Ycl6o4hRrIZKyyw1xu4FquB8tSA0E2yK61gpF6JyhVriyBWavWa9zXZd2UuWmwnBbbkxwHTaZ5vOAob55hm6IHAJDu+lZ8+eGJ2Sgm3/+x8yWKTZ5dJLL0VCQgI+/PBD3HbbbZ6eDsP4PEKITwG8B+BrKaXecr2UcqKtsWz3dwMRkybho0WLcNn5ZyLryXfwzmv/ReWhQza3r6upQ+7K9Xj/4ycw/8UXENc7Brs+/RSXv/BC+wUaAISGAgEBmDJxItatdS6jlGG6BTodRqekIH/jRuDIEU/PxutZtGgRHn30URQXF3t6KgzjD7wF4CYA+4QQi4QQdtqbmMOWNDchxo7FGyu+wyNff43XP/oIj99/H/LGjUPm+PE4c+BAAMB/f/gGBw5twe87DuKK8ybhvacfweRbb0WAOxsap6UheeVKrCwoMF/upor4GWkz2rjzlMbkgMlKqO61CQC1YeNNLkVlSoVF1MBcsYrlbTBur1jqLMdYFrK1Fts3bb59S5pi8aoN22fchxKXljV1MtbFm5IolPXKPpXzUoreWvs8GC9kzRqkVldj7aFDwM8/A1ICSUmOx3VTJk6ciJtvvhmZmZnYvHkzgoKCPD0lhvFZpJTrAawXQvQCcKPh9VEASwAsl1KesjWWLWluJuGyy/CPDz/EoTVrMHHMGHy1eTNmvvgiZixahMbq47juoitxNHctPv7wQ1yaleVegWYgNioK5U1N7RtsqAcGmFyJOQX7rLoV1ShiKSNthqEmWoxR5KRnVqKssMhYmV/B0j04LWUY4lIDjcVrjZ0OtFpkr1mP7DXrzUWZVouF86cYxwAwPjuD0YWpPndQrFxG5hyMmT7E6KZdt3WF2WdgTJpoL+11PzOus3cv0NiIzEsuwef79+PYnj1AcLCnZ+X1vPTSSxg6dCiysrIgbRXKZhjGKYQQMQBmAbgDwDYAr4Fqo31rbxxb0jqJyAsuwN8uuAB/KygAGhqAPn3oERra6ceWgwdDOJHBlr1mvc2uAgAJkWyVGMk2ZFYqKCUntMlJKM0/YLWkSHpmJWrDxiNr6jCz9lLOoE5MUCx1WbMnGa1p87KWYeH8KcaMy3lZy4xxca7EhyntuZTEDkWYTUubAWgnIS93maE0yTAAJOqcsZ4pn4epUK+qrZZSVoR7fnY+RUVAUBByfvoJo1NSoL3nHhbJTiCEwPvvv48LLrgA//jHP/DII494ekoM45MIIT4DkAIqWjtVSllqWLVSCGG3gjSLtM4mxWnXs9soKi1FQt++DrdTZyga64+BLGdlhUXImjrZbrcERXSpA+0BK0H/hv2rsyMdzskCo8WrrAzT0idhXe5ipCvdfdRJBUrnACtYuk4tz0PB1CVhLRZmz0JcaqDRjesKioh1VZwybmb0aPz300+x8Pvv8cP330PDAs1pIiIi8OWXX2LixIkYOHAgrrvuOqSmpuKVV17B5MmcKMMwTrJESpmrXiCECJZStkgpx9kbyCLND/nqp59wSUcSEBjGX9DrcWznTtzz2mtY/7//IeWsszw9I58jPj4eX375JSZPnozExETs2LEDV1xxBerq6tCjRw9PT49hfIEFAHItlv0KG62g1Ah7sQbjxo2T3MvNtzh96hT6x8bil9dew5A//and+1GsP2qr1LwFa22WmlBb35TgesC1DgauzK00X2cqFtxBjLXQDBYWdT07pXeoUgNOISNtBuYtWGv13CwbrastaZbWxA71JWUcU12N2++9F/2iovDCp596ejY+zeeff445c+YgPj4ev/zyCy677DKsXr0ax44dw/Hjx5HGN4YeRwixxZFlpgvm8MNTL/zzwpCQzu3wkb14IYqPFnl1nzchhBZAPIDloOxOZb6RAP4tpRzuaB9sSfMzfly6FPF9+nRIoAEwxnapg+UdiS1LEUPPJFqUuKzSfJ1ZO6n2iBRj1X8nBJpaMALWuxuoXamAqRZb9pLlbeLGlPNyxYWZHF9Ox4WqrZWhzRXHpHUyISEoKi2lrhVMh7jqqqvwwQcf4NNPP8W3336LuXPn4vPPP8fq1avxwQcfQK/Xc29UhjHnUlCyQAKAV1TL6wA87swOWKT5EzodVn3zDaZPmuTSMMvMzWkpw2xmc67buoLKT1iIK3qvBNWbx30pAk2bnITk+E3IW2Vavm7rJtc7B7ggbMzKdxTsM7V2Uhf4tdyf4X3W1Mnmr1UopTpsJSmohahlpwUzbM2B6TAtTU14+bnnsL20FKkrVjgewDjktddew7p16xAaGorTp0+juLgYH3zwASIjI1mgMYwFUsr3AbwvhLhWSvlJe/bBIs2POL1tGz7Ny8OGNWtcGjctfZLRwrNt1QFswwGjyDBafACgrIySAmZbz0pUN2lXowT4lxUWoQyxWDjfJGpyCvYZLW2WYk1xQ7qarWnzPFOGIQeGhupqi1o7hFL2mvXQJlPWqjUiGzZBEa1WYVHWeej1+Gb5ctz3+usYMWQINm/YgP4ci+YWEhIScPDgQTz++ONIS0vDjz/+CADIzMyElJKFGsOoEELMlFIuBzBQCPGg5Xop5StWhpnBddL8iJ+2b4c2OhrDBg/29FQYxmM8/9BD+Ourr+LVZ57B6rw8DGSB5lb69u2L3r17Izc3F/v27cPNN9+Mjz/+GN98842np8Yw3kaY4TkcQISVh0PYkuZHrFq/HtPT010ak1OwD9O0WpP7cjpZgRSX5LysZW1La1hagQy9N02WsBVm1jRKHmhrCVu3dQUiAQAxxor/bdBqqcTHVJdOyyZqt6xlM3XjMiesXKX5OptWtLjUQOP5KMkFxkQMpU6aAcWtzAkEHaOqoAA9tVoUHT2KV778Etvffx8J11zj6Wn5LS+++CIuu+wyFBUVIS8vD7feeisyMjKwfft2HDp0CAMGDMDo0aMREBDg6akyjMeQUr5teH6mvftgkeZH/JKfj39lZbk8Tt1UnDB3V5oElw7z8u27JoH2tUqyTEpYt3UFtuXGoKywyCy+qyMoGail+TqbWarZS5YbX9tzsTqTsapkeZJr1JDVaajzxu5O9yGbmxFz4YUAgCH9+uGFW29lgdYFJCQk4KKLLsKQIUPwwAMP4L777sMXX3yB0aNHY//+/QgODsZXX32F+Ph4T0+VYTyCEOJ1e+ullH9ztA8WaX6CfutWFB45guGJiS6Nm5YyDEgZhmyYF6YFKLA/LzfGaElTKCyJRUaaKuHAIH5yQHFnyfHldpMBTOU9TBmg1rAmBi33Y0tIKSUzasPG03mmTwIK9hkzQ7OXLLcai6ZktXYE5TMcM30IygqLoE1OMreUqY7HFrSOI4KC8J9778WNb76J+y+6CLOfafdNK+MC0dHRAICioiIsWLAAt9xyC6ZNm4ZXX30VOp0O06dPx7hx4/D+++8jIyPDw7NlGI+wpaM7YJHmJ5SUlSGiZ0/0Cg/v8L7iUgNRmq8zWtCUlkZKiY3k+HISSGrBAxIc2YVFyEibYUwiUMaquxJkzZ5jHKfUVbOsp+ZMxqc9S5c2OQloKDcE8AM5eeTGXZdryiZdl7vY6rFcTVKwJRanpU9CDtomX9AELUpCsGXNjA2//YbX33sPF0yciHtvuw0aK23OWmpr8f2PP+Lzzz5Dzk8/YdHdd+O+Bx4Aevf2wIy7HzExMbj11lvx/vvvIzU1FZs3b0ZFRQUAoL6+HqtXr0Zqaipuu+02HDt2DAC4ByjTrTBkd3YIThzwE/YdOYKh8fHAyJGengrDtJvW1lY8tnAhrrvrLlx47rl46a23sGnbNuP66uJifPjGG5h+ww2IHTsWC998E0NGj8bvGzbgkX/9C0hO9uDsux9KP8+LL74Y5eXlSDZ8/r169UJ8fDzy8/OxYcMGjB49Gi+99JInp8owXY4Q4p+G5zVCiC8sH87sgy1pfsKwAQOw58gR1B89inAXXZ6AuhCtITlgKtpYwzIy5xitT8nx5WYNyQtLYgGtFlmzZyJ7yXIkx5v2a1mSw7L2GFmyVhgtaoBzMV/2oA4Ck8yC9JVzyUhTFcRV5qMkDDiZOGDEYBGz1RfU6vbW9u/qcf2Qk7W1uHjaNPTXarF9/Xr0iojAkhUrUFtVhXWffoqln3yCtZs24cLx43HVtdfirf/8B33j4jw97W7NGWecgdLSUoSHh2Pu3LnG5UIIzJs3D/fccw/Wrl2LPXv24LrrrvPgTBnGI3xoeH65vTvgtlB+xNkjRuD1v/4V50yf7tb9Wha2VeLOFPJyY4xNyBVBp6Y0X4eF86e0EX0K6jgwZ9tQOTPnyIZNxkr/KCuj5AZbQfv2KtI7EE/KealFmq2iv2bH6uaizJIHn3oKVTU1ePCuu1Bw4ADyd+7EwtdfR1R4OIYMHIi//OUvuHHWLGMsFOP9bNq0CWeccQays7Px0ksv4Z133sG0adM8PS2/hdtCeS9CiCAAwwFIAAVSylZnxrElzY9ISUpCYXExznHT/syyEgFjYVlL1IkFSgskY/sjQ1ICZTpSEoI6Pk05jjUsExZcYduqA6DSHssAmHpwuiSMnNxWaXelToDIy43BGJVWNpbaUBUOthqr1k05dOQIXn3nHUy74gpcMn06KqqqcOuUKfjszTcxeMIEjBo71tNTZNrB+PGUuPPYY49h7NixeOyxx1ikMd0OIcTlAP4N4ACof+cgIcRdUsqvHY1lkeZHnDV0KJavX4/pt92G0KioDu1LEU5lhUVG12BO3gazZAG1NU2hsCQWGWVlbSxIC7NnYV3uYhSWxLapmVZYst5qRqixLpuDOVpuY62lldJJAVAJNtV+OtLRQHEPq7HnrjUTZ2q6scszLDQUF557Lo6VlCCqZ08MHT0aj7zwAs4YPdrTU2PcwMmTJ5GXl4eTJ0/i1VdfxQMPPODpKTFMV7IYwEVSyv0AIIQYAuArAA5FGicO+BEPTJmCqqoqvPmKw04TDONV9I2JwTnDh+NwcTGenD8fP2/ZwgLNj7jnnnvw7bffoqqqCs8//zzS09Pxww8/eHpaDNNV1CkCzcBBUJN1h7AlzY8IqK7GjqNH8dW113Z4X2aWJYN1x+gutBe/ZYlWC21ykjHhoDSfCuIqkEsz1mrQvTY5qa2Vy3BspQDvmOlD2ljUpqUMQ1lqkTGJATAlMKRnVqKwMBBIGebaedg4t5y8DU4VpzVa7mx9fh2diw9zqqUFd9xzDwpLSvBHfj5iOBnAb6ivr8eOHTsQFxeHHTt24O2338bSpUvx008/4fLLL0d5eTkiIpzqjsMwPocQ4s+Gl5uFELkA/guKSZsO4Hdn9sEizY8ImDkToxYswJsffoiHBw9GZGdd/OwIEkUoGWOwtFqDe2+SQTCZF8sF2go3gNyFSqFdRQwp+8vJ24Dk+HKU5scgsmETpk21EHharbF9lTKf7DXrMWZ6EmoxxNQg3iLL1J2fQ7v21Q2FWsOxY5h+773Q9OiB9T//jLCwMMeDGJ/hggsuQHl5Oc4++2ycf/752LZtGz7//HOMGzcOxcXF/Pdm/B11IEw5AKVv4wkATmVWcHann7HmlVdw5RzKaEwZMgR/fP89goKC7A9qZyyUtYD/rKmTzUWVIVDeWsB89pLl0CYnGQvOAjAr15GeWUkZkqoYrnW5i9uW9DBglgnqSgZlV2dbWusZ2g2p+OUXXPHEExg+aBCWrFqFHj07NxuM6XpmzZqF2NhYHDhwACUlJdizZw8CAwOh1+tx2WWX4brrrsNVV13l6Wn6DZzd6X+wJc3P2HPwIDLGjsXQwYPx444daGxqcizSGKaLKfr+e1z62GO45uKL8fzSpRDC76+13ZJnn30WY8aMwfbt2/H8889j586dAIBHH30UH330ET766CPuQsD4PUKIEAC3AxgJIERZLqX8i6OxLNL8jF4REUjSavHGP/+JnC+/RFSvXo4H2asb5oRrEzCV68gp2IcyVcsogDJEswuLTNuqXpcVFqEMscYaa+mZlDFaGzYeeasA4AAiGzapWlM5Ph01RrernR6ZOXkbTFmsluertjK6M/uym7o3sWsX/jh4EJnz5uHhW27B/S+3u8Yj4wMMGDAAt99+O5544gksW7YML7/8MhoaGrBv3z489thjiImxbhVnGD/jQwB7AVwK4FkAMwDscWYgizQ/Q2g0gBD4fO1aXH/XXZgwZgySXOlAYBAOZq5JlTDJKdhnFDzWitwat1ON1yYnYVr6JGMQvzUUEWYqdFtktl6prVaab35RV5rAA7AqspypRab0HFV6iao/gzIbNdyUc2qXaFPGdFNX57WPPooX7rwTN7/wgqenwnQBTzzxBEaMGIG8vDykp6cjLCwMTzzxBCZNmgS9Xu/p6TFMVzBUSjldCHGVlPJ9IcRHADY4HAUWaX5H/759sefIEWxZtAja3r3x08cfI+nhh+0PsrDoqFspKVmZAFXUVwSaZTyaElumZFCigSxi2UuKUJqvQ2TDJmiTx5vFn2WkzTBa4BSBpy6eCxQZ66cVltDxSvN1SM+sNOskYCwiqxY9lo3MHQgipeuBrcK6yrHVc8u2ZX1zRDfuOPDb7t1o0ukwkwuadhsiIiLw2muv4a677kJeXh5iY2MxfPhwFBcXG92fDOPnnDI81wghzgRQBqCfMwNZpPkZF44bh+sefRR/TklB3z59ENzY6NoOysrMgv2BSUahpm51ZLQkweQujIyn4H2lAj8AxKWasjgVgWYK/F9hFG5Gl2ehaSra5CTUwqIMh5Ir44TAyVa7XS2D9bVas/IcGWkz2nRCsJWgoCYnb4NdV6pVuqE4A4C633/H7FdfxYsPPwzBHQS6Fddccw127NiBtLQ0vPLKK+jXrx80Gg1KS0tx+vRpBAQEeHqKDNOZvCOEiAbwBIAvAIQbXjuERZqfER4aipLVq9Hyww84IzsbH19+uaenxDBo2bYNVz75JM4dPRo3zZvn6ekwXUR+fj42bdqEiooKjBs3Dueeey7mz5+Pbdu24a233sLmzZtx7NgxJLoSksEwPoaU8l3DyzwAg10ZyyLN3wgORnS/fniopAQ3T5mCKGfKGlhadgzWNAXFtbgudzG5JVOGmfXBnJYyDLCIOVOsUdYarqvXJceTdc2yxZTaqqYuSqtNTjJZrqy5DVUWs+T4cqMVsLAk1tTeqmAfIreuMEtCoCbpZDlzxoJWmq9DXGogfR7KZ+WKhaybtYB68v33ER4RgbdWreJMzm6ClBJ/+tOfkJycjIkTJ+KKK67Aa6+9ht9++w2///47xo4di59++glz5szB0qVLER4e7ukpM0ynIISIAfA0gPNAxWw3AHhOSumwQTW3hfI3Ro5EXX093vv8c8y9/vr2ZRDaGJORNsMYu9WGsjJkzZ6J5PhyM8GlZG1aEz7KdoqQqw0bD21yErTJScZl5jFqqvkZarFlL1lufK+wLncxspcsR0bmHNSGjUdt2HjjHNflLsa2VQeMc1LmZVmfzZnm7qX5OirEm7UM87KWIadgHyVTdMesTTv8b8UKfLh+PZY+9RS7tboRQgi8/fbbKC0txcMPP4xHH30UFRUVEEJg/PjxCAgIwJtvvomQkBBERERg9+7dnp4yw3QWHwM4DuBaANMAVABY6cxAtqT5If9bvx5pQ4Yg4YIL7G9oTUxYWHdMsWkmbAbLl5UhI3OOmUVNEWJKFqY6G1NZrmBeasMg4AqBdQ2bANDyssIi5EDV+F1l0VPPoXDJcrL8GfaXNXumWSFcJQEBsG05i0sNNM5FaVs1b8Faq9sC1MRdeVY3lLfa0aCbWNEqf/kFt770Et598kn0veQST0+H6WKuueYa7Nq1C+PHj0dDQwNWr15ttj4sLAzXXnstPvzwQ+zYsQMjRozwzEQZpnOJk1I+p3q/QAhxvTMDWaT5IeXl5YiJjHS8oWUGpCMM2ykuRGv9NnPyNiBr6mRjeQ7FZZmRNsOYhalkaioogozEkqnUxpjphhZOADIM27Yp42Gter/SDkqrRW2e9SxnS7GoXlZoIewAGJMXnE0qmJe1DOQ+1Zk3BulGNGzejCueeAI3TpmCzL/9zdPTYTzE/PnzMXToUBQXF+O8885rs/6KK67A2LFj0dzc7IHZMUyXsE4IcQOodydA1rRvnBnI7k4/5Nqrr0bejh048O23np4K0005deoUrl+wAMmDBuH5f//b09NhPMwNN9yAhx56yGo8YkBAAJ577jksXbrUAzNjmM5DCFEnhKgFMBvARwBaDY+PAdzpzD7YkuaHRF92GcaPHImdhw5hiDMD7LjeLF2dOXkbMC1zDsV9qWLTFJeeEtRv7M9ZaF6UVr2tMt6UXGDefD0jfZbxmGbTLSwyNlDPKdhnLO2hlAcBYLSwqcuEbFO5W9W115Ljy83i0xTmZS3DwvkzDEkFMD4D5Ao1r5vWFsVdau1zAsh1ujB7luGk/Mf9KU+fxuw77oBeo8G7TzwBTUiI40FMt+aMM85AQUEBl+Ng/AopZURH98EizR9pbkZi37442km7V4SaTRckYBQdatcnYC50sqaSAFKSC+JSA011zcrKTNmjKqGoxKOpMSUZtD2+NeJSA5FTsM94LJo/xaips1EXzp9i3L+17FPL7geWKGNqw8Yb49WyYar55kxygs+h1+Oxhx7C3pISfPf22+gxYYKnZ8T4AElJSRg8eDBWrlyJm266ydPTYRi3I4S4EoASKP4/KeWXzoxjkeaPhIQgUavFkV276L1eD2ja6dlW95hUl+ZQLVdKZKj7dZqNB4zZmGUWgfTq+K+cvA3G7RUxZxn3prRwUtpTTUsZRskDNrDMRKXkhXJVQgKgTR6P5PhNZjFxAAkqylZFm4QGV1GsaopoVSx+xvi+zDl+YU1b9e9/45OffsJv77+PMCvxRwxjDSEEnnnmGdx33324/vrr2ZrG+BVCiEUAzgagWCnuF0KcJ6V8zNFYFml+ypjkZCxasgRQhNrIkc4PttX8206CgVWBZmBa+iRDID1M7j1lnOL6NFjjFOFUWBJrVn5DcXkqVrQ2WZ7KvG3MK3vJcrNkAcXFCQBxqdTkXbGmqTNAFWtZXCqM81KIS7VsFWWOev/qOZJ71oqw9PHaaflffIH73nwTq195BTEXX+zp6TA+xuTJk9GnTx98/PHHmDGjbVISw/gwmQBGSyn1ACCEeB/ANgAORRonDvgp56WlYeP+/TgdyDqc6VwOfPstZsyciUsfewyL7rsPE2+91dNTYnwQxZr27LPPQqezH+/JMD5IlOp1L2cH8S+4nxIREYHevXqhpLQUA/r2dX6go+bfipXN0upjy8qmWp6eWenQUmSyPtF7pQG72S5VDdkBkxXOzJpncRx1vTb1cdTrlA4EimtSfbxpFh0VlDllzTZZCW2hFLw1EYOMTC0yDAkYgCFJIXuWT1nTSn/8EQs++ggr//c/3H/jjfj3M88ggl2cTAe4+OKLER4ejg0bNuCiiy7y9HQYxl08D2CbEOIHAAIUm/aoMwNZpPkraWkY1L8/Dh075ppIU7AjupSG6gr2XJ0K9rIYKf6M3IhjplM+qhKzlWN5eEUwFRZRI3iYXKBqEWVZcLc2jBq55+XGGESY6U5dKbJrD8vkiGkpw5C9Zj1yDOfmSKip919YEguUlRni5ei8F2bPNBdqgNeKtZMbN+Ifq1bh32vWYNbUqdj7ySfow4VqGTcghMC4ceOwe/duFmmMXyCE0ADQA5gIiksDgEeklE5d4Fmk+TGjU1Kwce9epDvKlrIsCGsh0CxLYADm1iyrlixb+7MUf4YOAchdTCU0rPTBtMzmVMp6KN0QlPdK8kFZYVGbRIZp6ZOwLpfi3ZRuA7YK0lq2qypT7d84hyXLjS2yrJUZsYWxqK9Wayy4q2AZr+eNYm3fN98gc948nDt6NLZ9+ikGsDhj3Mzw4cOxd+9eT0+DYdyClFIvhJgrpfwvgC9cHc8izY+5ZPx4vP3f/2JuUxNgr9G6WkiphYFFrTEFRbRZijJrLaScQt2o3UKQKNmcCtZaUlmKMaQMoz6aqvnk5G0AwsYjPXOTcVu1dUvdskq9XC3Y5mUtM65Ljqc6Z8p7R+U4TD1Cqa2U3fpoXtr78/hPP+GSuXMxf/Zs3Llggaenw/gpZ5xxBnJzcz09DYZxJ+uFEA+B+nU2KAullFWOBnLigB9z4fnn45ddu9DMd6VMBzmVn4/rFi7ErVOnskBjOhW2pDF+yPUA7gGQB2Cz6uEQtqT5MdETJ2LciBHI3bQJfw4Ksl+Gw7KPpx1rjj1rmWJlM27jwCqk9MS09loJztcmJ5k6CVjOU2XxUx97mkUAvhL4X4ZYs/Ibamy5PwtLYo2lNhQXqPq9o84DVvEiF6YzzH33XYSGhuLpt9/29FQYP2fAgAGorKxEbW0tIp3pQcwwNhBCTAHwGoAAAO9KKRdZrA8G8AGAsQAqAVwvpTwshIgBhUSfDWCZlDJLNWYsgGUAegLIBXC/lFI6mMoIkEg7H4AEsAGAU/3yWKT5OTMuuwzLv/sOf55pI7jfhohq4yqEwR1pbXuDUGqPq1NxXyriRylimxxvas4OwFSw1nB8s5gzK50JAFDRWJWYUzobAG1dnZbL1CTHlyNr6gxAqzXG3yndCVwVaJZdDZzCkfuzkwXf2y++iC9+/RWbt23jIqNMp6PRaHDRRRfhP//5D+666y5PT4fxUYQQAQDeBPAnAMUAfhdCfCGl3K3a7HYA1VLKoYYG6C+CrF7NAJ4AcKbhoeZfoF6cG0EibQqArx1M530AtQBeN7y/ybDsOkfnwe5OP+faBx/Ed1u3onrHDvsbqtowAeaCZ1r6JMqkVLV3MqOjMVRaLbJmz0TW7JkoLIlFYUksJROAit2qOxTk5G0wT2RQyoGoBJSZaFOdlyKOrFnMLMtuKJgJqrIys/kkx5e73NopI22GU9mwDlHOqzMFml6Pd/72Nyz86COse/NNRLcnS5hh2sG8efOwaNEinD592tNTYXyX8QD2SykPSimVpuZXWWxzFUgsAWQ5u0QIIaSUDVLKn0BizYgQIg5ApJTyN4P17AMAVzsxlzOllHdIKX8wPGajrfizClvS/JyoqChMPvtsfLJhA+6YOLHtBpY/8hbuQ6sN1m1ZzGy4Hl1BLWCsJQlQluZi6hBgaLBuln2p3l71WunVqS6lYa1WGmAuzNQCUU1G2gyzPqSA9RpsVrEnrJwRvF3kKl3y8stYsH49vs/KwpCrLK9tDNN5nHvuuQgKCsKuXbswatQoT0+HcZH+KYPQMyysU4/Ro2cIhBB3ArhTtfgdKeU7htfxgFkL62IAls2EjdtIKXVCiJMAYgBU2DhsvGE/6n3GOzHdrUKIiVLK3wBACDEBHJPGKEw480zsOXLE09NgfITGgwfx0LPP4uv8fHy3dCmGXn21p6fEdEPOPvtsbN68mUUaYxODIHvH4YaeZyyAX4QQyg/xAAAFQogdAKSU0uY/Obs7uwHNp04hqEcP+xspbkMVlvXJAAeWMdV4xUXqNNZcdzYsRhmZcyipQKs1JRQYUBqqGy1mhvNSXJ9Zs2caLV7pmZU2OxAoD3tQzbMZZvtwaEVzIjHDSGe7M62w/fPPMe6mm1Cj02HbG29gGAs0xkOEhYWhtbXV09NgfJcSAImq9wmGZVa3EUIEgto12YthKTHsx94+rTEFwCAA6YbHIMOyKwBMtTeQRVo3YGxmJjYWFACHDjneWCUetMlJZvFfatFlrcCtESfFVpvjOtFaKidvA1BWZj17tKwM2uQkU2aoxf6y16yn4rlpM5CROccY/6aINSUWTnkUlsQaRZ89MtJmYOH8KWYPW8zLWmZfoFn7rLpAqJX/9BPuv/de/OnRR/H4HXfgo/XrETVtWqcfl2Fscfz4cfTr189jx9fr9R47NuMWfgcwTAgxSAgRBOAGtC0m+wUApdnwNADf28vUlFKWAqgVQkwUQggAtwD43NFEpJRF9h72xrK7sxswKSoKN+zZg+aaGoRY28CGaLBmCVMsVGoB59Bipi6HoQ7wh6nNk0OUwrrKvixLccCQzZkyDDCU28hRzc3MsmZF9JAFTGe2zpElzR4L50/BvAWmwrVK2yizrgK2+nTaE2VuFmw1Gzfi5VWr8K81a3Dz5Zdj52efIfbCC916DIZpD+Xl5R4VaZmZmfjhhx9w/Phx9OrldD9sxkswxJhlAfgGVIJjqZRylxDiWQCbpZRfAHgPwIdCiP0AqkBCDgAghDgMIBJAkBDiagAZhszQe2AqwfE1HGd2dggWad2AyAsuwMghQ/Dr7t24aMyYthtYaQWloO7TqQT1Ky2hlDpmZskELogIZbxa+CmYCTeL+SlZpkqHAsvG6sr+Ihs2IXsJzV0pv5GTt8HoIjUer8GUpZlTsK99XROssHD+FOO827R8UnC29ZNalFpu246m7I1btuD11auxOCcHV6anY9t332HAuHEu7YNhOgspJY4dO4bYWBfL1biRBx54AN988w1GjRqFX3/9Ff379/fYXJj2IaXMBZXJUC97UvW6GcB0G2MH2li+GU5mZroDdnd2Ey4eNw4/bN/u6WkwXsCBb7/F+Pvuw+8HDmDDu+/ivdWrWaAxXsWGDRsQFBSEwYMHe2wOwcHBGDRoEG6//XZkZmaitrbWY3Nhui9sSesmXDB2LP6xdCmg0wGB7f+zK1arHIvlxuKytkpwWLHUTUufhJy8DbYtaMo4yxpuqmQBs4K1oLgzddFaBbP3Wi1y8jYgsmETLFFb3wBlzApkpM1os61T2LFSmuFKrbkO1KX77sMPcdMLL+CpO+/EX194ARRWwTDexYsvvoiHHnrIo8WTly9fjrvuugtz587FkSNHcPfdd+PDDz/kgs5Ml8KWtG5CcmYmDpaWAgUF7d6HupCspZiyTDKwhzY5yaYwUx/DrHiuqmitQvaa9SgrLDKNMRSbVQRVRtoMY/HZrKmTzY+ZMsxUONeQpakIOcv5dQoeaAv19osvYsaiRVi5aBHuWbSIBRrjlezduxfbt2/HLbfc4tF5nH/++di0aROEEHjllVdQUlKCSy65BHV1dR6dF9O9YEtaNyEhIQGllZXQnT5t/Y9uEYivFlyKYFEsXwqWbaPMdmeIY1MH71vDcp82x6nnZ7CuaZOTENmwCRkpbQvOWitCazyWYV+W22RNnYx1W1eYLGzJ41FWWGQQcjZPwTHOWtMMKDF1LnUmcBCXtvfrrzHv//4Pmz74AIOvvNL5/TJMF3Pw4EGcddZZCAmxmubUZVxxxRW4//770dTUhMjISKxduxahoaFoampCRESER+fGdB9YpHUTgoKCENu7N4pPnMBAJ8coosZRIL217ewJO7W4UycgWKKsNxNTZWWmSv9h411yQ2YvWW4s0WGvk4DCuq0rUIZYm9u6hEFAqbsUKK2vAPMEDWvu2o7y+P/9Hx6bNQuDU1Lcul+GcTclJSWIj3emiHvnUldXhx6q+pI9e/ZEv3790NLS4sFZMd0Ndnd2I5K0Whz2gJuN8TC7dmHv0aOYNGYM0NDg6dkwjF0++eQTnH322Z6eBt5++23MmjULPXv2NC4bPXo08vPzPTgrprvBlrRuxMD+/XG43EbtLwt3nGLtsmZFU6xmlm5OZbkxiUBZljLMZmkLS4ub8t6sxIdS/8zwOhJKIkARslVdERxZvFyNM6NYNZeG2ESpmZaeaX39tPRJWKdKZEiOL8e63MU0D5XFzRpG9+jUyWZxfOoEi5v/9Cc89e9/Izc7GxyJxngrW7duRWFhIW6//XaPzkNKiZycHKxatcps+XnnnYf169fjiiuu8NDMmO4Gi7RuxMD+/VF04gSg1wOa9hlR1UJL7bZU2i4Zq/5bqX1mKe4U9561pANlXHJ8OQoLYRRjSoHZ5Phy5OXGIC7V9C9sz40JqESLRSupTsWiTlr2kuXGc1iXu9ihAHMWZZ/qVl7KZ5Y1dTIeuvFGvLl6NfYdOYLksWPdckyGcTebNm3CRRddZOZm7AyefPJJDBkyBLfeeqvV9fn5+WhtbcXo0aPNll9//fW46KKLsHjxYs7yZLoEFmndiIH9++On33+3LtCsVPB3FqVsRdbsmaZisRZWs2mGTgOWpTusWc7UqDMuAaCw0BSzFZcKlObrjNvGpQYaY77aXTKjPWi1WJe7GLVh4wGYxOu8rGVGcaZ0HFCK5gLmFjISb+2fAmWqUgurNkJ161ac/vlnnKythTbGQW9RhvEg27ZtwxhrBbfdzHPPPQcAVkXaqVOncP/992POnDltMqBTUlIwaNAg/H97dx4XZb09cPwzgIqCqCCCYoAb7hvuKWKpqJRb4lJaaandFOunpplm6U1vZZpWWK5pqZmKaZKmaCZh7hsuGbiiIqDijgsCz++PYcYBBhhghpmB8369eAkzz/N9Dt0rHr7LOV9//TVjx441eZxCyJ60EsSrdm31cuepU+YORRSl6Gi2nDxJI1dXnBwdzR2NEDk6cuRIttkrUxg3bhwADx48yPR6eno6b775Jo6OjowePVrvvT/99BMzZszg8uXLJo9TCJlJK0G8vbxMcnDgrkNr4qPOaWeLgkL8Mu2n0ixlZm0nZcgesawnHd19vLiLFz4eBzLe1/TdfHqtyWuc6RHgO1i77+zounPa1zX/TTR0l2gD8hhT830F6Oxj093vp5H1a81/b00pkbbPdWb8zJksGj4cfI20yU4IIzt//jznzp2jZRF0v2jbti0A8+fPZ8KECQAkJyczadIkzp49y44dO7DLoei3l5cX3bp1Y9u2bQwfPhxQJ3tLly7F19eX9u3bmzx+UXJIklaCPFOmDHHXr+dcK81AWfeU6S45QualO3170/TRXfbUd73uXisAJw/1Ep/us2Pi3LR72Ipq31lo9BmOzthK1aZ22qVMTXKVE03MWRM4cNPuLdMdY0rwcu3YeS6JJiRo997t2LOb/VEpvLWoBy9160bXAQMM+6aEKGJpaWm88MILfPzxx9nqo82YMYOJEydSunRpoz1Ps6Q6ceJEDh06hIODA7/99hsdOnTgt99+o1y5crne36NHD8aNG8ecOXOIj4/nzp07ACxYsECSNGFUkqSVIGVat8bN2ZkL8fHUadJE/0UGFF7VzIY93cSf/RrN/iyI1d5TGJpngToZCwgcr52J0iSNR9edI7in8U5kGiKobh2CPqwDGXvu1FJzvScn8VGpmWYGdWle093Tpku3zdXzAe+yfvFi5oWsJPH2beZ/8AGB77xToJiEKApXrlzh3r17vPvuu5lev3TpElOnTiUgIIDWrVvncHf+1a5dm5kzZ7JhwwYCAgJITU1l0qRJ+Pj4GHT/yy+/TKNGjejbty+urq5UqlSJoUOH8tZbbxktRiFAkrSSxcaGwPbt2bBnDxM7dYIyZbJfk0eCFhoRqd6Y7u5O+BZ1UpA1qfAPTMpUmBUy987UTdg0S6BZJcTEEh+Vin+gejlPtwp/pmVCnZmjoBA/7WtFLqMlFQA9dV53d9czY5YzzXJo1tlJjZQnqUz6zzskJt2gqo0Ng17qye9xSUx8uS+39yexZMsWhg/zwLtaNSYOG0avsWPlFJqweOfOnaNWrVrZXj9wQP0z5ubNm0Z5Tnx8PElJSWzatIlvvvmGESNGFKjch52dHc2bNyc5OZn58+czevRoatSoYZQYhdAlSVoJ80qPHrw7axYTX34Z6tUzdzgiHx48us+wYTNxdKhIFZcqHLqZxK/7d3MhMZFpH4yldKlS9OrYkQ1ffkmL/v3BiMtDQpjS+fPnsyVpcXFxLF26FMAoJz6TkpKoUaMG1apVo2PHjmzfvp1GjRoVasxKlSpx+PBhKlasyKNHjwodoxBZSZJWwvi9+SY3pkzh1LlzNNSXpOWy3Kktr+HuTmhEJEf1LMtpluM0e8ruop4p8/FI5K5D60yzZpqSHZo/s86o+QcmqZc20dkcn9ssmQV2U8jPLFpeDu0LZeDzAYRMnpz5AEBKCvcPHCA1LY2K/v5Ge54QReXcuXPUrFlT+3VSUhL+/v64u7tTs2ZN3NwK3iZNURT279/PN998Q5cuXfjtt9+METIAQUFBfPrppzRv3lySNGESUoKjhLGxseHlbt1YvXNnvu8N8vfTJnD6lig1pxZj4txIiInNdAhAUxPM3ceL4BFDtIkZ6G/QrrkneMQQbZFcvUmYuzuh0WfUlfYLUOPNVEKjz2hPe+aXvkMWSnoaJy8fZcwrr2Q/oVm6NI4dOkiCJqyW7nKnoigMGjSIUqVKkZaWpt0nFhMTwzfffGPwmIqi8MUXX1C3bl1ef/116tevz/fff2/UuD/55BNWrFiBnZ0dDRs2NOrYQoDMpJVIQV26MHz6dGYU8H5NUjXzw+7a18KPrMooqJp7Q/KgunW0yZamXZSGbnKi7WCQi5CwHfh4JJKQsd9NW2HfkFk3EypocqZxdN05/AOTMu31q+aym+qVK1P3pZcKG54QFufixYt4e3sDEBoaSnR0NJcvX6ZKlSo0bdoUgFdeeYXDhw8zZsyYbPfv37+fVq1aYaNTqHvLli18//33rFixgtatW2crTGsMtra2vPTSS7z11ls8++yzRh9fCEnSSqDm1atz4epVEo8cwU1f3azcTnhqNupnKXER4DuYmLjsbZlCwtRV8N19vDL1ktTQbTOlbS+liSEHmjF1T3xqnqGZvQtZvDLPXp7Gpokra4JVEAGB44nYslw73uxPLxDUpWi/HyGKir29PdeuXWPy5Ml8++23KIpC27ZtSUlJoXt39S+Dhw8fxtPTM9u9aWlptG3blsjISDp06KB9/YsvvmD69Om0adPGpLGfPHkSHx+fTI3YhTAWWe4sgUo3bcqozp0Z/dlnKIpi7nBEHmxv3uHQiSj6d+1q7lCEMIn27dszdOhQ9u7di52dHYMGDeL8+fPUqVOH8uXLs3jxYgC9SdrChQsB9clNjatXr3Ls2DF69epl8tjT0tK4ceMG169fN/mzRMmjyu0f6ZYtWyqHDh0qwnBEUXn02280Hz2aaa++ysDgYP0X5TCblnWWKiRsR6YyGbpdAnQboedU0FZzGAHIeQYt433dBuW6ZT20l2U8w5DlUn3jF3iJVOe/VUEOC6SlpeLscYBbydWYOWYkNtWqMSV4OekP7/H73kVUrVie3//6C3Kogi5EcbBz504GDRpE6dKlCQ8PZ/HixSxdupQqVapgb2/PjRs3uHr1qnZZ88qVK3h6eqIoChcuXMDb25vHjx/TuXNnunTpwrRp04ok7smTJ7Nnzx62b99u8ubwuVGpVIcVRTF9y4bcY/hz4S+/dirr4GDS53wUPIoLMdHGX8O2MPITvyRKT8e+Rg1++OQTeo0dS69nn6WsIe2CMpZBNQmZJiHSHAJw9/HCKfkAEVtc8A/MXDlfXfcr82GDrO2MgOyJYQ5Jk27j9aAszdxzHcvdPfuYutfpfp6fhE3n2pkfdif8yCrDljyvx3LgzD4OndtLraruJCcns/bbuRz/4QeqNrXj50WraORVne/nz5cETRR79erV4/r164SFhdGgQQOGDBlC3bp1efvttwGoX78+ixcvJjU1lbJly/LDDz9QtWpV/P398fb2JjU1lREjRuDm5sZHH31UZHF/8skndOvWje+//14K2gqjkp/6JZGNDTRsSOuGDfFduJA1u3Yx1NC9aTnsV3u636wOAb7qgwRZZS3QOiV4OVWb2j09wZnL6UzdWToNTVIIOSRpWWnGzzprlvXZhTxwoC9By9oySlHSOXJyFfuPHGBA167MnriApgMGQEoKverVo8O4cbw3bhwnTx0nbP16SuuUJxCiuKpWrRp79+7V9tZs0aKFthjznDlzsLW1ZdWqVdSvX59Hjx7RunVrunXrxt27d7l8+TIvv/wyDg4O/PLLL5kOEZiara0tPXr04PTp00X2TFEySJJWwo3q35+Pv/uOIf36YeelZzlST8Kibp7+dKlRtz9nkL8fIYtXEh+lfxZJU6ZDc71T8gG9TcOfXpRz4pYQE8vRKJdMDcizxZ7LAQhjJmY5qdrULtsBB4CkOztJvpPEuU2bcH7uuadv2Nvz8X//y5rNm1m5YgWjO3emktRfEiWIJkHTaNasGZcuXcLDwwMbG5tsraPWr1/P22+/zffff8+4ceOYOHFikSZoGrVq1WLXrl1F/lxRvEmSVsL1GDOGr1evptXgwVTz9mbjsmVm3VNREtyNPc7mQ38QHRqKg55mzC0aNaKFbiV0Q5aihSjGnnnmmRzf69evH76+vjx+/Jh6ZuyiUrNmTc6fP2+254viSZK0Es7W1pZf585lyAcf8FBRsDNw35OPRyIkq2eInDQN1pMTCd9yIMdZtOb9a5EQE6udNQtZvJIE3HKva5Yx26U9dJCsPpSQY3P3rGMYOkOmu1etkIcIAnwHE7Flq3YWLevSZ8TJPxk7aJDeBA2QpEyIfLKEvpk1atTgwoULKIpikppsomSSEhyCsvb2+DVtyvkzZwxqbRLgO5gA38Har2Pi3IjY4qJu4ZTRWaBqU7tMS5v+gUnafWshi1dqDx5kqmXm7p79A7QtoxJiYomJc9MmbBFbXLTPy0Tn3lzpdjLImqAVkqbQb9YE7c7Nq8Re/5eRUpRWiGKlfPnylC9fPlMpECEKS2bSBPj68n/p6ew/dYrRb7/N0mXLDPpNUJOoBfjClKitxEelErJ45dPDADwtRxGxxYW7Dmcy7c+KWJdKUEjem/51W1DFR6USH3UO0El+jLWfzMhtpYJHDMnYv/fUZ59sIbhrd8r7GXjYQQhhNTRLntWqVTN3KKKYkJk0AcA/kZGcvHCBZdu2sebXX3O+UN8slbs7/oFJ+AcmPT3BmTE7pZlRm/lhd4L8/bSzbpoZpqxJjD4+HonaD4NiyqnPZ1Fydydk8UptIhsT58bp/Y85evok74waZd7YhBAmYWtrS0pKirnDEMWIJGkCgBoVK1JOpSLI35/e0qjbJP7cu5uBPXviJp0DhCh2UlJSOHbsGK1atTJ3KKIYkeVOAUDZYcNY37UrDevVw+7SJahUSf+FOezdCggcr50V8/FI1Pax1HwdfmQVdx1aZ6uVlpuntdGy7+3S0NRaA7L36tRXuDYnRl7qJCEBdx8vbb04H49ElsWd5j+99OyhE0JYPUVRsLe35/r165QvX97c4YhiQmbShFb16tWp4eHBwejovC/Wk/xougDoJlTxUakEBI7nrkNrnJIPaJdFNcVd9Y6bMXbwiCEEjxhCTJxbpvuy3uvu46W/5ZSmFpqxEzADBdWtoz3YEH9MxZmL12lct65ZYhFCmFaZMmV44403+O6778wdiihGZCZNZNK5VSv+OHaMZwcMyPtinUQtNPoM8VGp+AcmZSqRAW7awwP+WYrOapKt0IhIbWun0Ogz6qHDdmhnxrLNkJFxWGHGVvwDkwio292gGPP8XvJI5kJ0YtIyoFxHTJwb/WuXppStDdU6dDAsHiGE1fHz89M2fBfCGCRJE5kEtGnDhHnz+OD4ceyaNDHsJnd3gtzdtYlWzOKV3HVorX7LB4J71iE0+gwxMdmr76tLaqAtyaFtL6VtM2XY8wG9PTlDIyK1XwblMqamSXxOQqPP5Dxbp+dazYnU4BFDCO7ZhchNm/Dx8kJVtmwu34gQwpqVK1eOBw8emDsMUYzIcqfIJCA4mKpVqvDZmjVw5465wyk2qtrbk5CUwxKvEKJYKFu2LA8fPjR3GKIYkSRNZKJSqVi6Zg3fbNjA77/8YviNOjNKujNOmhklzSyWZt+a7udBdesQ3LNLrjNdGiFhO7T7zKo2tSMmzk1bHDfr/jPdIrhPg3NXL6nqWdoMWbwyc0kQnWuyjZMH7T65hARCwnbg7e5OfFISD5OTDR5DiGLj5k1INfzQkLWSJE0Ymyx3imyqe3qyYdIk+n76KccDA3Fzc8v9hixLfgkxsXqXBrPu5woI1FmOzKgrpm//WVahEZEE1a2Du49XnomTJo4gfz/1szKWIkNiYrVLr5qlWY2np0rVLag0Mbn7eGlPreYWZ1DdOtolT81z7AKGUNPLizM7d9KkZ888v0chio1Ll+DyZSgBpSnKlSvH3bt3zR2GKEYkSRN6PVuhAm/UqcOYd95h7Zo1+brXxyORiHXq35r9A5MIjT6jf5YsISFT8qSbBGXanwaZSnokxMRC3TrqZAi0e+E0Y2Z6REYSF5KROGru0U3udD/XnenTFTxiSKb9bfq+J90YNTNpmlZWNhs+w8VJxelTpyRJEyVHejqULg21aqn/LOZq1apFWloa27dvp2nTplSpUsXcIQkrJ0ma0O/NN/koPp5m333H+rAw+r3wAtjkvToevmVORsmMp7NUCTGx6mQqS1ITGn0Gos88PdkZEfl05ivLtZpZL92ZLc2BhUx0DhEE+fsRqvNWkL+f9vWQmFjtDFpwz4yeojpJluZZPh6J6oRMM3xGfJrvSRNrSNiObLOHQXXraA9AhITtoJp7A5bu+IOBkybp/48nRHFjYwNVqhj0s6M4sLOz49133yUgIAB3d3fOnz9PWTksJAqhZPzNEflnZ0fZDz/kh+nTefuDDzh28qS5I7J6jevV51jUMZTDh80dihBFp4QkaBrvvvsuffr0ISEhgRdffNHc4QgrV7L+9oj8sbOj7X/+w9xp03h59OjcN71nzGAFBI7XFqCNiXPLvBSZhWYzvmYZMdO1WTb4B/gOJsB3sHYWLTT6TKblR/WA2cthBPn7qT/q1nn6fkJCpnIbWbsj5CTr7J5m7JzKc2hqvoWE7cDHI5FWzzmTlprG6XPncnyGEMK62dra4uzszBtvvMGUKVPMHY6wcpKkiTwNfvZZ6pUvz9fvv2/wPZpuAZr6Zznx8UjU7gnLtOcro8BtaERktmVIDW1Sp+lSoKmLllNhWd3TnxnLnpoxNHXS7jq0ztTBICbOTe9+Ot0kTzNG1hOgCTGx2gQtJs6NM1fdqe1Vg8OnT+f430MIYf369etHdHQ0zz//vLlDEVZO9qSJvDVqxPQJE+j57rvkmKblULFfk6iBevM+ZD4ZGbHFRbt/TZfurJq+JC9T4pTx3Gwza7p0Y9P09MySzGniNFgOyaDmdKvu9xngq/7zt5XLiLtxI3/PEUJYlc6dOzNkyBASEhJwN1NbOlE8yEyayFvp0jSsXZsb9+5x88IFc0dj1VJTUylbpoy5wxBCmFCZMmVo2bIlR44cMXcowspJkiYMYtuqFd0aNeLXdev0X5DLb4vBI4ZoZ8N8PBIJP7KK8COr9O7/0rdkqPu1tpitjtCISO3yaI574PTMnGnj06mDpvla9yOn+HT3zGnqtumb9QsJ26H9nhOTrlPF2Vl/jEKIYqNBgwaSpIlCk+VOYbCBbdqwLCKCYRMn5vteTTmMu3jhlHwg03sRW1yIiVuZKcnJaenS3cfr6UEDzdiapc+sSZjuEmwejdC1BxLyuFY3Pk2x2qyJnI9HIiQnEhIW+/R7Sk4k/lIisVcu06dbN70xCCGKj2HDhtGtWzfeeecdnJyczB2OsFIykyYM9uLLLxNx8iSP793L/mZOm/XJnnBpTn6q66kl4R+o7mmZEBOb6TSmvg372msyapNl3Wumnd3KbR9ILu8nxMQ+bTNFxinSjFOaWa+DzPvlNDFrCuJqDkUkZNRkO3jsHr39OlC2RYucYxOiOHjwAB49MncUZtW0aVO6devGrFmzzB2KsGKSpAmDObRrRwVHRxIPHtR/QQ6JmrarAOrkxscjMVNx2pg4N+1pSd0ESZ/gnl20Y+mesNQ8P9typ2aZU99ypyZZ0/3g6clU3N2zjZc1ecy6FKvvJKqm80CpJ0iTdVEybNumbgVVwo0dO5affvrJ3GEIKyZJmjCcjQ3tmzYlUgrbFoiXR3WOREeTnp5u7lCEMC1Z3gMgKSkJT09Pc4chrJjsSROGOXIE6tWjb716LAgP55UxY1CpVNmvy6EUh3ZGyt+P8C1zgKcNzOHpkmjW/V2ar8OPrHo6lu/gnOPUzJZpZsb0ze7lEGO252fcq2knpTtebg3Wsx6I0My22T3jhVPFSvy1ZAmdRo7M+XsQwlqdPw/OztC0qfrPEi4mJoY6depw6tQp3N3dcXFxMXdIwsrITJowTL16UK4cL/fsyY0bN9i2fHnO1+axPy1ii4v2QzehyXQyMiPJ0pyM1Fyf7Tm6z8qybJlJ1mXNnJI3feNmfB6+ZU6u+9k0hwR0m7RnTdjeGTaU5Zs26b1fCKtXpoy6kXrlyiWuHZQ+5cuX5+bNmzRv3px69eqZOxxhheRvkTBMuXIA2PbowSejRjFl+XKU3JY9s+4FS0jItdhskL9fpv1dmrIamhkrzQGDmDi33A8F6D4fsidVOt0Jsr2Wk4wDCZqG7Ll9D5oZw5wStcGNGvFrRAT3d+/O+3sQwtp4eGh/Vgjo0KED+/bto0yZMtyQItaiACRJE/n20nvvcSc5maNnz+brviB/v0zlNzSnOjWCe3bRnqbU3aCv6dsZoLvMqS9Ryzqrltv7eg4T5HSSUxN7pvtyoakLp5uoaVTp0IHGNWqw9/jxXMcQQlg/V1dXrl69yuPHjwFQFMXMEQlrI0mayDcbGxv6Pf88v0Tm0oZJZONw+xZ7162jtocHMZcumTscIYSJlcuYVaxcuTJ2dnY8efLEzBEJayNJmiiQvp07s3HPHsMu1pnV0q2Nlqn8RkICIWE7tHXFQsJ26J3VCu7ZJftSZk77xHIrv6GHdrYspyVSnfeyxZblen2dD87u3U37d99l2dat3L1/P894hLB4KSmwezecPm3uSCyS5nBVfHw8PXr04H//+5+ZIxLWRk53igLxrVePmCtXSE1Nxc4uj/8b6WzIz3wqchUxcW6ELF6pv4l6Rn017enKvMbP+rmh3N3V++Uylln1juHuTlBOe+FyOik6Yoi2M4Hd9WvM+20j6wMCeGnbNr5Zs4YPQkLyH6sQluL2bXj8GG7cUP9Zv765I7JIR44cITExkcaNG9O8eXP69u1L06ZNzR2WsBKSpIkCKd2mDQ729txNSsLZLfveK0Oo95npvKCnw0CuvTj1yenkZm4SEvR2N8jaHio0IlJ7Xabrc3lekL8f+Puxad16vD09OWxjQ3Dz5oQcPcqDBw+0yyFCWJ34eK7v3cvkdev4Jy6Ov2WfpV7NmzfXfv7ZZ58xbNgw9u/fT6lSpcwYlbAWstwpCszJwYFbJ06Y9iG5LVVmXZY05NRnbjLu13uAIGMJU/Oepv1UTgcNssbdy689m6dP4+D58/yQ8d8s6ocfChevEOaSns7NqCiajh+PfZky7DlxAiUtreDjpabCxYtGC89SDRs2DBcXF5YsWWLuUISVkCRNFFjTqlU5ls8TniWZd+fObNu1i7Xvv4+LkxO3r183d0hCFMzp03y1ciU9nn2WeaNHA3Dz2LGCj/foEdy7B8W8G4dKpeKdd97h559/NncowkpIkiYK5tEjmisKRw8fNvyegsx05VKYNjQiUt3nM6+G6vmkW+8st9pumvd0Z9W0M2u6RXOzzAR2Dw4mZMwYZktRW2GtXFxYun8/4/v14/vvv+cZZ2cqVq9e8PEcHaFx4xJRALdr165ERUWRmJiY98X5kCR9gYul4v83QpiGvT3NVSqOnjpV6KG0Jzlz25iv5xRnkL+f9mRofk5x5ijrvVn2quWWsOmt0ZZLLA8fP8bD1bUgUQphfnfu8CQtDZe6dXEsUwYHe3spYmsge3t7XnzxRRYvXmzUcXdLgexiSQ4OiIJJTaXZgAEc/eILw+/JIWnRnILUe32WxE1znaY7gbuPl/5N/4WRQ5yZEjadvWia06fa9w1IFP+9fJl6NWoULk4hzCQ9NZXHKSnYVapEr+HDeW3lSh7Z2OBg7sAs2G+//Ua7du1wcXHhk08+oVWrVgwaNIjatWsbZXybEjALWRLJ/6qiYGxs8OrShUepqSQW9jc4TYKjrw9nFpplSE3JjhxPfxZGbrXXNHHUraOt6ZY1KdP0G83Nv5cvU69mTaOEK0SRSk/n5OHDVKlYERdnZ0J37eK5tm1xcJAULTc9e/ZkwIABANSoUYN3332XL/LzS64B44viR5I0UTA2NqhataJ53bocio42dzRW5/SlS9SXmTRhbe7ehb172XX4MJ2aNGHzV18xYc4cpr7zjrkjswp//fWX9vOWLVtysQScaBWFI8udolA6t2nDtkOHeOHNNws8hmbpUO+ypW6lf3ha3BbAFLNo+p6dg/ioVACmRG1Vh5PRizQ+ygUfj6fXhYTt0H7u7uNFzwf3uXTtGrXkN19hbeLiIDWVG/fuUdrWllHz57PypZfw69Il73tLOAcHB5KTk7VfV6tWjatXr5oxImENZCZNFEq/559nbUQEjx49KvAYmqVD7eGBXFo8aZdFDVgaLZBcxgkJ26H9gOwN4iO2uBCxxUX7te6Sp7uPl3r/nL8f58qWxcvdndKlSxsnZiGKyPHISFSdOpG2fz8rduygrKIQ0Lmz+nSmyNXw4cMzfV2rVi0uXrzIfWkRJ3IhM2miUOp6e9Oqfn1+XLuWka+9VuBx3H281D07Mw4EaF7L81BAYU5zZgtC/6nMkLAd+HgkZpodCz+yioDA8cTErdTOqGnoJm+6s2igngk8svl36nl7Gy9uIYpCejp/Z9RF3HvhAiMaNuTHkyfZe/8+7eQXjjx98cUX9O/fX/u1o6MjrVq14s8//zTKfrKUlJRCjyEsjyRponB8fQnu359pixYVKknTtE/S0G3BZGzhR1YR4Ds402uh0WfUvTl1EjRNchY8YjzhW+ao78lI5EIWryRG23M0NlNP0vAjq7jr0Drjq1iy+vfEKdmPJqyPjQ23bt0CIKliRabNm0f1n39mSWQk7d5+28zBWb5SpUrRvn37TK+1bNmSU6dOGSVJ27p1a6HHEJZHljtFoXVs3ZoTFy5wT6btDRJ/LVFm0oRVGtmnD69Wq0b/tm1xrF0bz6pVSZLOGQVmb29vtOXODRs2GGUcYVkkSROFVtbenlb16xO5dm3BB8myxGhQaY0CLHVmXX7M7Xk+HonExLlBQgIBvoPV92bshwvu2YXgnl30zvYF+A7Wvu7u46UuuKsJOSaW+KRrNJDyG8IKVX7hBTq0asXZmzchJYXKbm7ckEr3Brl//z6DBw9m8+bN2tfatGnDnj17jDL+cWlwXyzJcqcoPF9fnm/dmp3HjhFYkPszWjyhWyDWyEudIWE7CO7ZBR+PxIzN/U+XJBNiYrWb+nWTON09aECmJc28XtecWNXss9PUdSv9+C6P7t+nxeDB2e4RwuLdvcvelBQa+viAnR0uFSuSdPeuuaOyCjExMezcuZMNGzawYcMGunXrRq1atYiLizPK+JUqVTLKOMKyyEyaMIqu7doRtm8f6QVpkJyQkG0mK1MfzELQPY0ZEraDmDg3/AOTCAgcry1G6+ORyNF15wjfMgd3H6+MQwKJBPgOzjExy4tukqk5ABFUtw6Re/6mX+fO2NraFvp7E6LI3b3LkX//5fk+fcDGBqeKFbl5+7a5o7IK3t7eJCcnM3/+fLp3786dO3cASEtLM8r4np6eRhlHWBaZSRNG0ea11yj/2Wf8tnQpvUaMyP8AWfpkamfXsmzmzy9NkqU5jakdKyFBuww5JXg5VZuq/yokxMSSgBsAdx3OFGpGT9O6KiEmltCM105EHePrsWMLPKYQZmVvz/1Hj6h49y639u1jxtKldGvb1txRWQVnZ2ecnZ1p2bIldnZ2ODg48Mcff9CqVSujjP/MM88YZRxhWWQmTRiFSqVi4uuvM2vtWnj82NzhWKSjWzbz8NEj2nfrZu5QhCgYR0fSAZvkZAL+8x/OnTrFnEmTzB2VRfr777+ZMmUKsbFPT3gnJSWxZMkSXnrpJezs7IiKiqJu3bpGeZ7MpBVPMpMmjKbf6NF8EBLC3xs30n7gwEKPp10C1TObFhqdv1muAN/BmcbQLTTrHwgxcW7qQwLkvPcsP0Kjz2j3oQGkx15i4ZIlhH76P2zlN15hrdLTsbOxIebuXcqULs20Dh1wbdZM3S7Kycmg+0lNhWJeV+3EiRN07NiR9PR0ateuzbBhw3jw4AH3799n1apVREVFATBw4ECCgoKYOnVqobdAeHh45H2RsDoykyaMxrZ8ed579VX1bFph6XYVSEjQdhXQdiWA7HvWDOw6EH5klbY7gOYjPiqV+KjUzAlaIboYaPagBfn7UerWLcK+C6F3h/Z0GjmywGMKYXY2Nnzl6srL779PpTJluKko6qQrJgZu3sz7/qtX4eBBuHHD9LGaUZUqVahevTqurq7MmTOH2NhYypYty7Jly9i3b582oZo4cSLvv/++Ufao6racEsWHJGnCqIYOH87+Eyc4/cEHxhkwI0ELjYhU71ED7Z/A05ZQunvY8kiuAgLHZ2vppBF+ZNXTwwbG6GaQkMD9HeGcio/nm4kTCz+eEGZ0fPVq5sbGcuvJExSVivvXrsG1a+rEa9euvAdwcgJbWyjmCYWbmxuHDx/G1taWU6dOceXKFVQqFUOHDqV27doAKIpCfHw8c+fO5dixY4V+5rVr1wo9hrA8kqQJoypbqxbBnp588eefcOpU4QbTTb6y0CyFapK3bAlcDsla+JFVTAlenqnHpiZh8w9M0ukUkHlJtKDSk5P5dPNmPn3vPcplqTYuhFVJT2fq4sW0qFaNPwID2X/tGu2GDoUtW+DyZXWylhcnJ2jbFry88r7WylWuXJn//Oc/gLpobVYqlYrTp09z//59o2z6P3nyZKHHEJZHkjRhdKO8vNh49SpXEhPViVoJ7im35eefKVW6NAGjR5s7FCEKJfXaNX4/eJCpw4bxQ2IiIwYPpoadHUp0tLlDs1gfffQRu3fvplGjRtrX0tLSeO2117h69SqKomBjY0P58uUL9Zzbt2+zevXqwoYrLJAcHBBG57x5M+Neeole779P2IABeAQGQsOGBR4vp+4D+l7PNOumu1zp7k74ljkZddISM82kBfgOJiZOXUstISZW2zA9uGchC84+fszna9bw/tChqFSqwo0lhJldu3yZCg4OXC5XjrDoaKJ//50/V63i+QUL2DZjBgGy3zIblUqVrV/nw4cPWbFiBadPn2br1q1Ur16dmJiYTIlcfiiKwrhx43jppZdYunSpMcIWFkRm0oRJTJkyhQHNm9NuwQISL15Un+rKL83hAd2PPK7XJm5Zr834WnMwwD8wiZkfdmfmh92zLWtqXi+sC5GRxFy5QtCECYUeSwhzSn/wgP++9x4d69Rh/759NPLwwNnZmbt26t/zJ65cCTbyz4khHB0dKVeuHHZ2dlSuXJnk5ORCFbRdvnw5Bw4cYN68ecYLUlgMmUkTJqFq0YJJ06Zx58kTRoaEsLFVK1RVqhR8QM2JzohIgvz9tDNmQf5+mROyHBK5KTO2Ai7ExO0gPko9ixaxZSsAMz8cTICv+rRocM/MBXULc3hg++HDBLRti52d/DUT1i1s5Ur2XLjAtrFjKV+1Kh9v28aRAwfoPWoUM44f58PFi80dokVKS0vTe3LT29ubmJgY+vfvz6NHj2jSpEmBn7Fy5Uo+//xzHB0dCxOqsFDyq48wHV9fpn38MRfv32fRsmWFP0hgZcKPHCGgXTtzhyFEobmoVDxWFKp26oS9szO3k5Px9PYGGxumvPkmys6d6lIcQuu7777Dzs5OO0uWlpZGUlISW7duZfDgwXz66ac4OTnRvbt61j6pAI3qFUXh2LFjtGjRwqixC8shv+IXJ+npFrfkUKZtW9Z+/jkdhw+nVtWqdCnE3jQg+yxaVpoTnXpmwPwDkzLtRdO0gtKOnVEcV7fJuqGFbdUzdU+lp6Wx7fBhvpk926D7hbBkbXr14uLo0TypWJF/o6Jwc3bGrWpV9ZvNmxunXE0xoym18dNPP/Hqq6/yyiuvsH79etLS0pgwYQIhISG0bt2aY8eO4e/vz8GDB9myZQvPPfecwc/4559/KF26NO6FqOkoLJskacXJ0aOgUoGvr7kjyaTuSy+x7uZNgiZMIKZuXSq2aZP/QTT/CLi7Z07Octh7ltXMkKGELF4JPP1tX3NAYEqUOsHSJHEzQ4bmOpY+WRO+aydO4u3mRlUj9eUTwpxKlS9PA29vdq5bh5OtLZV0l9ZKlwZpSZSNm5u6g8n69esZMmQIa9euxcHBAUdHR0aPHs3u3bvp168fv//+Ox07diQyMpIFCxYYnKQ9fPiQV155hQ8//NCU34YwM8uadhG5S0+HI0dyfl+lsriZNI2Ow4fTo3175v/6a+EGMuQAQQ40SVlONLNsU4KXMyV4ubqmWpYZsqw0xW+zSn18hqY+PgWKUwizu3kTHjzI9NJ7gYH8b+VKEm7exMnBwUyBWY8mTZrQv39/SpUqRUREBAADBgygefPmHDhwgEuXLuHv78+qVas4cOAAkydP5ueffzZ4/CVLluDp6cmoUaNM9S0ICyAzadYkrxOSFjaDltUHw4bRcfhw3p0yBcfC/pDXl6jpbvTPMv2vryCuhu5JzikztmqL22qTthlbtadANf09AXw8ErV/Zn1962IVnp7yD5mwQqmp8O+/6s4Amlnva9cYeOsWH126xCuzZ/PVtGlmDdFarM1okTdkyBAAWrRoQYUKFRgwYAClSpWiWrVqpKSksHPnTrZs2WJwqZ7U1FTmzJnDmjVrpLxPMWeZ0y5CPzu7/CVihw/nPvNWxOr160cnX18WzJpl7lBMztutJn8eOqRuPC2ENbGzAxcX0Ow5A6hWDVXXrpy/c4cGnp68PHSo2cKzRqGhoQD06tWLIUOGcOnSJX766Sfs7OxIT0/H1tY2X/07161bh5eXF20KsnVEWBWZSSvOLPA3rOmjRtFx+HD6+flRo4thm/LzpFOeQyMhbAfuPl7a/WtH153TvpdXDTTdwwW6z8g6WxYT55bpT937lUoKlxITSf33X+xat84+nhCWrG7dzF/b2XE8Y/a7RrVqlNdN4ESeZs+eTeXKlbXtn5555hnt57GxsXh5eeVrRmzNmjW89dZbJolVWBZJ0oozC1z+rN+vHxP++osx8+fzm7GStIwlzkwHCjJOgWoSN0OL02a7TmfZNHjEEO3n6kMIZErcNNLSUlny81TKlLIhJSVF/pIJ65eezoH9+wFwqVTJIk+SW7Lg4OAc30tOTs5XjbP09HT++usvvvvuO2OEJiyc/C0rZs5v2sTVc+fyvtCMxkybxp5Tp7iya1fhBtI0YI8+Q2j0mWxv6yZt+jb36xMafYaQsB1Pr8/lkELwiCG4+3hlmkUDqNn4X1KePOIZV1cWZCxzCGHV7Ox4a9o0bp84wcJXXpGaaEZUrlw57t+/b/D1x48fp0qVKlSV2cwSQZI0a3H7Npw+nedltXr3ZtbUqaaPpxDKVqpEUOfOrNxhWOKUSS71gDQzZ5pZLlAnakH+frj7eBmUqCXExGZ+Vg7P8/FIzDSbpjujNvKl91Di45nz1lv8tnt3ns8UwirY21PB3V29FFq6tLmjKTbs7Oy4ceOGwdfv3LkTf39/E0YkLIkkadYiNRXcsi+tZXLkCAtGjeL/XnmlaGIqhNd79uTHLVtQLOhgg7F51avH1evXzR2GEMbj6AiurpCSYu5Iio1PPvmEMWPGGHz96tWr6du3rwkjEpZEkjRrUbkyODvnfo2i8NYbb+D94otFE1MhPDtsGClpaRzasyd/NyYkZJrdynRYICaWhJhYdZeAjGVK3X1peZkyY2umpcvwLXNyvV5zrbuPF+4+XgT4DibAd7D2fZWLC4qiGPRsIayCvb06UZP9aIVy69Ytli5dCkB4eDhvvvmmQfedO3eOK1eu0LVrV1OGJyyI7GkuTqyof5tKpeLlnj0JPXuWfNfk19knptsmyt3HS7tcGRp9BqLPaPelhUZE4u7jRajOa9pELvoMCTGx2vpoGupTnnMynfbUraHmH5iEU/IBAgLHq5c+69bJdL9KUSRJE9YpNVVdiiOrlBQoV07/eyJH6enp2OgktsuWLWP8+PG8/vrrJCcnU7FiRYPGiYmJoXHjxvkq11GSqVSq7sBXgC2wRFGUz7K8Xwb4EWgBJAEDFUW5mPHeB8CbQBrwjqIo2zJevwjcy3g9VVGUlqb8HuTXIWv000+wcaO5oyi0bu3asePo0fzdpLtPLEv3Ad0ELWtfz6C6dbT707KOlRATS3xUKhFbXDLtLcva6xPUyZnmtazXZ6V68sQiy6AIkafr17MvaaakwJMncmggnz799FNsbW3Zu3ev9rUDBw4AsGvXLsqVK4eDgcW9Y2Nj8fb2NkWYxY5KpbIF5gM9gAbAyyqVqkGWy94EbimKUhuYC3yecW8DYBDQEOgOfJsxnsZziqI0M3WCBpKkWZ8jR6BaNfjnH4sqVFsQbQYM4GxcHDdiY/O+WENPR4GgunW0zdFBnazpHh7IS/CIIcwMGcrMkKEEjxhCfFSqNmnTpblmZshQqja1o3n/WtqY3H28sg9865bMpAnrVLWq9nBAxPbtBLZvz7mtW9UJmr29mYOzHlFRUUyePBmAYcOGaX8eLF++nJMnTzJ9+nRmzJhh8MzYv//+i5eXnp81Qp/WwFlFUc4ripIC/Az0znJNb+CHjM9Dgc4qdcG63sDPiqI8VhTlAnA2Y7wiJ3PW1mTHDvVSg5cXdOpknDFPn4bkZPD2Vu97K0KlypfHr2lT/ty8mf7FsP+c6sEDSdKEVfttwwbeHD4ctwoVmPvjj4T06mXukKxK7dq12blzJ/Pnz2f9+vX88ccfdOnSBXt7ey5dusTt27d54403DBrr8uXLrFy5koMHD5o46sIb1LkTTk5OJn3GV07lUalUI4GROi8vUhRlUcbnHsBlnfeuAFlbNGivURQlVaVS3QFcMl7fl+Vej4zPFSBcpVIpwEKd55mEzKRZk+efh3v3oEYN4435+LF6E/CjR8YbMx+6t2/PL/ktU5F1Ni2XUhm6BwcMPUCgmS3TVbWpHSGLV2o/gnuqC/Fq/gzKsh8NQFWhgiRpwmqlp6fz5vDh/Prf/xK6fDmbIiOlzVk+OTg48Nxzz/H5558DEBYWBsDDhw+ZPn06kydPNngWbcKECYwaNYoaxvz5b+UURVmkKEpLnQ+TJkwZOiiK4ot6GXW0SqXqaMqHyUyaNbGxgW7djDtms2bGHS+fBgcGMvW770iIjsY9aysaQ7i7602+dFtCaekUvA1ZvFK7RJn1Os2pTv/Apy2iNMmYLn2Jma4UOztKlyqV9/cghAVSqVSoVCqqeXri+swzxCcl8fDOHcqaeIakOKpVqxbLli3Dz0/9s+bVV1/Fw8OD/v37G3T/rl272Lt3L99//70pwyxu4oBndL6unvGavmuuqFQqO6AC6gMEOd6rKIrmz2sqlWoD6mXQv0zxDYAkacLMKnXqxIAuXVi0bBkfffZZ3jdk0CRmmYrP6tA91amREBNLSMb1WfeQhW95eopzZsh47esBgTkEkEsnAo0UGxtJ0oTVUqlUNKpfn3/OnePqqVN0bd2asi56+toKgwzVaUp/+PBhtm7dip0Bp2RTU1N55513mDNnDuXKlTNhhMXOQaCOSqWqgTrBGgRkLSK6CXgd2AsEATsVRVFUKtUm4CeVSvUlUA2oAxxQqVQOgI2iKPcyPg8A/mvKb0KWO4uLQ4es9iBB8KBBLAgLIyWfey0SYmL1btjXvJZ1hk3v5n50Z86Ssi1z5iiXzgcaj9PSKCNJmrBiDx48YH9UFF8sXMi4QYPUe2JFoTVo0IDTBnSQAXXxWmdnZ/r162fiqIoXRVFSgWBgG3AaWKsoyimVSvVflUql2Vy5FHBRqVRngXHApIx7TwFrgX+ArcBoRVHSADdgt0qligIOAJsVRdlqyu9DkrTiwoqLSzZ+4QV8PDzYUMxaKKWkpVHazk5KFgirNWnsWI7HxdGlZUs6BwWZO5xio2HDhpw6dcqga8PDwxk8eDAqKeeTb4qibFEUxUdRlFqKoszMeO0jRVE2ZXz+SFGU/oqi1FYUpbWiKOd17p2ZcV9dRVF+z3jtvKIoTTM+GmrGNCVZ7iwufH3NHUHBOToy5tVXmfvjjwwcO9agW4Lq1gHNXjKdPWWhEZHapc5se9JQn7HWLJFq/gwaMV5bsiMieLn2WkNn1ULCdujds5by5Il6Ji0lRYp/CqvUa8gQeg0ZYu4wip2GDRuybdu2PK9TFIWIiAimWng/ZmE68i+HsAi9u3Zl9GefcWbbNuoYejgi674wd/fsiZnuNTpLlLp72UIjIrUtnoJ7Ds59KVNPnTb3WtW5f+8ep7Ztw6N0aarb2ICrKw8fPVLPpP37r3Un0UIIo2rYsCFz587N87qvvvoKBwcH6tTJ/ZCSKL4kSRMWwa5ZM14NDGTu+vV8W9ATrJq+nvo29WdJvHT3p6kTOz+DDgNkehYQu3MnC778ktdOnqSelxcXr1yhXGoqpW1tSVQU3pV9JEKILFJSUihTpkyu16SnpzNp0iT2798vS50lmCRpwmJ88MYb1O/Xj7ePH6dxkyYFGySHmTONIH+/TMujurTLlrmNofP1vbAwnp8wgeF9+7J13z7s7t8n/fRpYo8cIf3CBar16UPZcuUMOmQghCg5zpw5o50dS0pKokKFCtlOetrY2NC+fXvi4+Np2rSpOcIUFsB6d5uXdMY6yXnkiMWcCnWuUIHubdrw95Yt5g7FIN/8+ittmzThg5AQ9Q/YihWxadeOGqNHU2v2bMp26KBe5qxWzdyhCiEsyPXr16lYsSK//vorlStXZutW/QcEHR0defjwYRFHJyyJzKRZowcPjDfWv/+q/7SEPVO+vqhsbCh15w4cPAitWhV8rIzZK90enpolTk3pDt39ayGLV2r3pWWiZw+axoOUFOpJs2MhhAEeP36Mra0tdnZ2PPfccwQFBbFokbpAfqcc2vzduHGDykXcrk9YFknSrJEmsTKGunXBgvY7tG3ShK8XLqSXqyuuBUnSNB0Ios/glHwAn4xua3cdWhPk70f4ljkcjXIhPuocR9edy3RrfJQLATnlqpr9bjruliqFi7R9EkLkIi0tjUmTJjF79mzGjh3Ll19+SYsWLahTpw4XL17k9ddfx9HRUe+98fHxVK1atYgjFpZEljutUb16xpv5atHCMmbRMrzRpw/1y5en6+LF3Lp5M9/3a2bOsnYiCPL3IzQikpg4N/wDk/APTMp/cDp71Y6Gh7P6l18Y1rNn/scRQpQYs2fPZvbs2Tg4ONCjRw/t6xs3bqRBgwaZOhHoUhRFkjQhM2lWqRhX/S7dpg1rLl0C4L/Bwcz96ad8j5EQE4uPRyJ3HVprX9PtPhAT5waAf6B6eTNiiwszP+xu8PiPzp9nyFtvMXf8eDxfeCHf8QkhSo6QkBAA1q1bR9euXbWvR0dHk5ycTMeO+vtza/aiOTg4mD5IYbEkSRMWp0OzZuw+dox5f/7J3FOnoGFDc4eUyeTPPqNBrVoMnjLFoOuvX7/OypUrsbe3Jz09HWdnZ7p164azs7OJIxVCmNv06dNp2rQpLVq0yPT6qlWrePXVV7HJoVtMcnJyvhK0tLS0QsUpLJMkacLitGrYkKuxsZy/dYsrQPV83u/u40WAv7pKur7+nU7JB4iJc9POqM38MHu3gJz8OWcOazZs4HhYmEG1izZu3Eh4eDhHjx6lSZMm2NnZceHCBWbPns2ePXvyrJUkhLBub7zxht7Xd+3axbx583K878GDB/lK0tauXZvf0IQVkD1pwuI08/GhXIUKAGxfuTKPqzMLHjFEbzuoIH8/gvz9SIiJJSbODR+PROKjUomPSmXKDMP64947eJChX3zB0o8/xqVt2zyvv3LlCn379mX//v04Ozszd+5c5s+fz+bNm/H29ua9997L1/cmhCge7t+/z+nTp2nZsmWO15QrV447d+4YPEOWdaZOFA+SpAmL07BWLeIzDg2EG9iEGHh6+jIhQfvhlHwAp+QDTAleTviWOQD4eCQSscWFqk3tqNpUPZlsSKK2+PffadukCd2Dgw0Kx8PDg7p163LkyBHs7Oxwd3fH39+fcePGMXDgQDZv3szXX39t+PcnhCgW9u/fT/PmzbG3t8/xGldXV5555hkOHDhg0Jg+Pj7GCk9YEFnuFBanpocHSXfvArDhyBHSDx/GxpDfEvW0dQoIHJ/xmTpBU8+eqRM0TV20+CiXPIdWTp7km40bWfPZZ4Z9E4BKpSIiIoKwsDAGDx7MgAED2LdvH87OzoSHh5OSksL//d//ceXKFT777LMc96YIIYqXHTt20L59+zyve/nll1myZAnt2rXL9bobN27QoEEDY4UnLIj8qyAsTqWOHXEsW5bWlStT38mJFGMW7y2gxFu3uPfgAa1efTVf97m5uTF8+HDKli2Lo6Mjbdq0Yf/+/XTv3h0bGxsUReHvv/9myJAhPH782ETRCyEsxfnz51m8eDEjR47M89rhw4ezfv16kpJyLxn0zz//UKNGDWOFKCyIJGnC8tjY0KhWLT59/32OHj+OvZ/+Xpt5CQnbQcjildraaRFbns6YxUelErHFJdNruUm8dQuHsmVJT00tUCwAjRo1olGjRhw+fJiHDx/i7+/PtGnT2LFjB48fP6Z79+7cvn27wOMLISzfihUrGDJkCLVq1crz2ipVqtC7d2+WLl2a63Xu7u7ExMQYK0RhQSRJExapZ8eOrI+MBLsCrMi7uxMafQZQ7z/T7EED9Bay9Q9MyrNOWpNmzfDx8GD0oEEkJyc/fePaNXj0SP35sWPwzz85juHs7Mzt27epWrUq3377LStWrODjjz+mbNmyrF27liZNmtCxY0ceWMDMoRDCNEJDQxkwYIDB11epUoV79+7leo2Pjw+rVq0qbGjCAkmSJizSwIAAQiMjST1+vED3B/n7ETxiiPZr3UMCAM3712Lmh92Z+WF3AgLH535w4Pp1VKVKMX/MGH7ZuRNHR0eqOjvTv107Qj77jNv79qmva9YMctkXYmtry5MnT3J8b968eTRo0ICZM2fm63sVosilp5s7AqsUHR3NrVu3aGvA6XCNQ4cO4e/vr/36+vXrLFmyhB49euDp6cnAgQM5d+4cgYGBpghZmJkkacIi1erdG093dzZrEiBziIsjZts2Pg8Jod2rr9JmzBhqubnxjLMzCbduEbpvH2PmzqXSc89xxIDfYs+ePZvrEodKpeLLL79k4cKFREdHG/M7EcJovp4xgxYNG3Inl1ljod/hw4dp3759vg4JeXp6MnbsWKZOnUrnzp2pXbs227dvZ9iwYWzfvh1XV1emT59uwqiFOcnpTmGxZowaxStTpnCgRg1q6bRTyVWWJuia050BGV+Hb5mjbrZet87TixIStMudysmTHIqOZsPff7MxMpI79+7Ru0UL/tu5M/4tWlDaxgbq14f4eO6rVPx2/DgvT57Mis2b8e3XD3I5Un/gwAEmTpyYa/jVqlVjypQpBAcHEx4eblDBXCGK0tTPPiM1NZVdmzfTW04UGuzmzZscOnSImjVr5uu+5cuXEx4ezl9//cWYMWPo1q0bZcuW1b4/ffp0atSowf37940dsrAEiqLk+NGiRQtFCHMa3L27snT8eEWJjzfsIwfrdv2V/UXd+86fV0I/+kipXqWKUs/dXZn0/PPK/m+/VdL27FGUixcVZf9+RblzR//gaWmKcvhwppfWrl2rtG3bVtm3b5+iKIpy/fp1xdHRUUlOTs7ze37y5InSpEkTZe3atXleK0RRmz1hghLg7a3c+Pprc4diVXx8fJRSpUopixYtMvrYnTt3VjZt2qQAh5Rc/k0vig/gzzs5/aw0ooz8xKzfa1F8yEyasGj+LVrw++7d6G+skkWWWTRDr1d27OB/q1ezcPNm1s2aRdt+/WDPHggIeHqtl1fO49jYgK9vppecnZ3Zt28fbdu2Zd++fXz77be88cYblCtXLs+w7OzsmDx5Mj/88AP9+/fP3/ckhImNnzWL8bNmmTsMqxMTE4O9vb1JSmU0bNiQs2fPGn1cYX6yJ01YtH6DBxN+6BB3z50zzoBZC95evcr0Vav4Zc8e9q9bR9vXXwdHx8wJWgF07tyZw4cPAzB//nz++uuvfB0I6NGjB3v37mX27NmkFqLshxDCMty+fRtnZ+d8L3cawtPTk0uXLhl9XGF+kqQJi+Zcvz7+zZuz4IcfTDL+zt27WbJpE5v//JOqBazHlhNfX19SUlLYvXs3CxYswNHR0eB7nZyc2LVrFxs2bODTTz81alxCiKJ38uRJypcvb5KZNEnSii9J0oTF+/K99/g2LIwV8+blfqGetlAaQf5+2qK2ur09f1i6lA9798Y9v0ulBkpLSyMuLo6AAszMNW7cmNWrV/PVV19JoUpheZKSQGZ5DbZkyRKGDx9uksNAkqQVX5KkCYtXu3dvwubNY9zChfz7++8FHic+KlVb5DY0+gy4u/N3TAx+3XMvZFsY9vb2ODo6cv369QLd7+npyYcffsh//vMfzaZcISyDra16P6bI04MHD9iwYQOvvfaaScb39PQkNjbWJGML85KDA8IqNB44kP+dOMGAGTPY7+FB2SZN9F+YkKDuOBARydF1T/exVW1qx8yQoYRvmUNoNDglHyBhXQI3k5Kob+Ked1WqVOHatWtUqVKlQPcHBwezYsUKfvjhB4YOHWrc4IQoqIoVzR2B1YiPj8fZ2bnAPwPy4ubmxt27d00ytjAvSdKE1Rj+ySfsPHiQsd98w4LFi3O9NsjfjyB/P8K3zNG+NiV4OeACnANcSL+0At8KFbBp1cpkMd+5c4e4uDi8vb0LPIadnR0LFy6kV69eDBkyBLuCtMoSQpjN7du3qWjCpNbGxoa6detyvIAdWoTlkrlqYTVUKhULp0xhx9GjrAkJKfR4N9PTcdUpCmkKW7duxc/PL1+HBvRp2bIltra2XL582UiRCVFEbtzItadtSXDnzh2TJmkAQUFBJh1fmIckacKqOHXsyNrPP2fM/Pmc275d/0WagwGoOw4EBI7XNlgHtA3Wr3p4UCmnZVMjCQsLo2fPnkYZy8XFheXLl3POWOVIhDCG9HR49Cjn9+/dg9u3S3S/z9TU1Hy1giqICRMmmHR8YR6SpAmr4zt4MFOHD2fgjBk8NnB6f2bIUEC9Ny3AdzCtOzqyYPNmBpnw0EBqaiq///47L774olHGW7lyJVeuXKFdu3Zy2lNYjoQEuHgx92sUpUQnaa6urgU+PGQo+1xa0gnrJUmasErBs2ZRy9OT/tOm8fjCBYPuad6/Fu4+Xjx++JDwVSuo7uZGx+HDTRbjyZMncXNzo3r16kYZr1GjRixdupQBAwawadMmo4wpRKG5u5Ps4EB6TiVwnnkGnJxKdLmOOnXqcOHCBW7fvq19LS4uTmbFRZ4kSSvG0pKTef3FF/ly3Dhzh2J0KpWKlTNmUMrenhfHjOHGnj153hPk70fDc2doExBA/N27rP/iC5PF9/fffxMaGkrDhg2NPnbbtm05cOCA0ccVokBsbHD09KRT9+76Z8vs7KBxYyjBMz2Ojo506tSJzZs3A7B06VIaN25M27Zt+eabb6S8jsiRJGnF2LGNG/lx82YcDegXaY1KtWnDmtBQfBs2pOXo0Rxcvz7Ha5WEBBZ/8QUdx49n1MCBrN+5E5fnnzdZbB06dGDmzJl4enoafezWrVuzf/9+o48rREEoioJzhQpERkVx9ocfIONwi6IorPjmGy4cPWrmCC1D3759WbFiBY8ePeLLL79k7dq17Nu3jyVLlvDtt9+aOzxhoSRJK8ZaDB7M/fv3GTljhrlDMRk7Z2c+/+EHvhw3jhc+/JCQmTN5lLGJOWTxSuIOH+bLjz+mZUAA8xcv5q8//2TkjBkmqfqtkZycrP3cFHWRateuzaVLl+S3b2ERVCoVkRER+Narx7U7dyDjxPSapUt57Z13WLlwoZkjtAx9+vThzJkzVKtWjZo1a9K5c2dq1arF/PnzZTZN5EiStGLOwcHB3CEUiZcmTGD399+zcd8+3Bs35pVXXiExYitNnn+eU8eOMWvUKA4fPEj9Zs1MHovuvhNTJGk2NjZ4enoSGRlp9LGFKIgGTZty+PRpnv2//4PKlQG4mrHfqtz9+3Dtmhmjswz79+/n/PnztGzZkilTptC7d29iYmJo3749tra2/PXXX+YOUVggSdJEseHTty879u4l+pdf8GvThsu3b3Pgxx9Z+uuvdP7Pf7CtUKFI4kjX2ZdTtWpVkzxjzpw5vPXWWzx+/Ngk4wtRUEpaGke3bsW7Vi0A4i5ehCtXzBuUBTh+/DivvfYadnZ2bNy4kbCwMOrWrQvAu+++y2uvvcaiRYsy/fwQQpI0UbzY2eHWtStvf/opy3/7jVq9exd5CB4eHgCMHTuWLl26mOQZ/fr1w8fHh08//dQk4wtRUCu++w7fHj2YNXcuH/XsyUevvw5GOuFszU6cOEGnTp1ITk7mueeeIzAwEFAvF48cOZLVq1fz448/4ufnR1xcnJmjFZZCkjQhjMzGxoZ27drRp08fk7VwUqlUzJ8/n/nz53P69GmTPEOIgnArXZoarq6cPH+eth06ULFZMyimh5fy4+LFi3h7e3Pv3j0qVKjASy+9lGlv7LPPPstff/1F9+7d6dy5Mzdv3jRjtMJSSJImhAk0bdrU5H30qlevzrRp0xgxYoQskQiL0W3kSPq0b49vo0ZUa9IEWrWCQrZFKw7q1avHypUrOXr0KPb29rz55pvZ/t7a2NgwdepUXF1dpcyOACRJE8IkGjduzIkTJ0z+nLfffpv09HR++uknkz9LCEN9uWEDfx08SFMTdvSwNm3atOH777/n448/zrN+4pMnTwrd71cUD5KkCWECPj4+nDlzxuTPsbGxYfDgwezatcvkzxJCFNzgwYM5ffo006ZNo1SpUrle+/zzzxMUFESTJk04dOhQEUUoLJEkaUKYQO3atTl79myRPMvPz4+wsDAScmrLI4Qwu7Jly1KvXj2DrvX29mbNmjWMHTuW/v37c+vWLRNHJyyVJGlCmMAzzzzDtWvXtIV1TalJkyYMHDiQb775xuTPEkKY3ltvvcXkyZMZNmwY3bt3Z8qUKeYOSZiJJGlCmICtrS2urq5cK6Iinm+//Tbff/89T548KZLnCWGQBw/g+nUogl9WihNvb2/2ZPQjnj59OqtWrZKaiCWUJGlCmIirqyvXr18vkmfVr1+fBg0asHjx4iJ5nhAGsbcHBweU69e59scfkqwZaP369VSoUIG0tDSqVKlCgwYN2L17t7nDEmYgSZoQJlKUSRrAvHnzmDRpEmlpaUX2TCFyZWPDnSdP6B0UhFuXLpzfssXcEVkFX19fbt++ja2tLQA9evTgu+++49atW9y9e1daSJUgkqQJYSJFudwJ6rIfzzzzDEeOHCmyZwqRl59WrODg2bM4lStHkq0tpKSYOySrM3r0aMqWLUu1atWoUKEC/v7+5g5JFBFJ0oQwkSpVqhTpTBqofwM/depUkT5TiNwEvvACqFQsef99zl28yMqZM1Fk72S+uLi4sGLFCh4+fMicOXN48803zR2SKCKm6VkjhCjy5U4AOzs76T4gLIpXjRpsWLKEPsOG0dDbmxMXL1K/RQta9Opl7tCsUnp6OhcuXCAyMhI/Pz9zhyNMTGbShDCRol7uBPWpUtmTJizNNwsWMHnwYP7YvJk3X3qJjeHh5g7Jar377rs0bNiQ119/nVmzZpk7HGFikqQJYSLmmEmztbWVmTRhcZ6kp+Pi5AQ2NnT392frzp0g/z8tkFKlSvH111/z2WefsX//fnOHI0xMkjQhTMQce9IePHhAmTJlivSZQuSlU6dOBH/zDedPnOBZf39iLl3ixsmT5g7LqiUkJFC1alVzhyFMTJI0IUzEHDNpsbGxeHl5FekzhcjLqMmTGfnyy3y9YAGpjx6Rlp5O6cqVzR2WVYuPj5ckrQSQJE0IEynqPWkpKSlERUXRqFGjInumEIYaM3EiP27fzpY1a2hSuzZO1aqZOySrVr58eX799Vfi4uLMHYowIUnShDARJycnKlSowD///FMkz9u7dy916tTB1dW1SJ4nRH5Ur12b7m3b8tqnnzK0d29zh2P1Jk2aRJ8+fWjVqpUUty3GJEkTwkRUKhVBQUGsW7euSJ63adMmAgMDi+RZQhTE5GnTeGPgQEZMm2buUKxaQkICmzdvZvLkySxbtox+/fpJfcRiSpI0IUxowIABRZKkKYpCaGgo/fv3N/mzhCioRs8+yzfLl6PKaHckCmbOnDn06tWLO3fu0K1bN2bNmiV/94spSdKEMKG2bdty+/ZtTp8+bdLnhIeH4+TkJPvRhCgBdu3aha2tLdu2bQNg2LBhtGnTxsxRCVOQJE0IE7KxsaF79+5s377dZM9ITU1l6tSpfPjhh6hUKpM9RwhhGQICAkhLS6NGjRra1+bPn2/GiISpSJImhIk9//zz/PnnnyYZW1EU3nvvPZydnWW5Q4gS4r333mPhwoXcuXOHPn36MH36dMqVK2fusIQJSO9OIUzsueeeIzg4mLS0NGyNuBfn3r17jBw5kujoaP744w9sbOR3LiFKgqioKMaMGYOPjw/t2rXjyy+/5IUXXjB3WMIE5Ke6ECZWtWpVatSowc6dO4025qlTp2jdujXly5fn77//plKlSkYbWwhh2Vq1akXLli3p0qULderUwdnZmTNnzpg7LGECkqQJUQTeeOMNli5dWuhxUlNTWbRoEZ06dWLSpEksWrSIsmXLGiFCIYS1cHBwYP369cybN4+NGzcyatQoBg0aZO6whAnIcqcQReCVV15hypQp3Lhxg8oFaIdz9uxZVqxYwY8//oiXlxc7d+6kcePGJohUCGEN3N3duX37Nk5OTnJgqBiTmTQhikClSpV47bXXCAoK4vbt2wbdc+/ePRYtWkT79u1p3749d+7c4ZdffuHPP/+UBE0IQYUKFSRBK+YkSROiiMydO5cmTZrQsWPHXPvt3bhxg48++oiaNWuydetWJk2axJUrV5g3bx7NmzeXH8pCCFFCyHKnEEXE1taWr776ii+++IL69evToUMHunfvTvv27UlMTOTcuXOcOHGC0NBQgoKC2Lt3L7Vr1zZ32EIIIcxEkjQhipBKpWLixImMHDmSHTt2sHXrVhYvXky1atWoXbs2DRo04MSJE3h4eJg7VCEs3tmzZzl27BiNGzembt265g5HCKOTJE0IM6hYsSJBQUEEBQWZOxQhrNa3337L3Llzsbe3Z+PGjXTr1s3cIQlhVLInTQghhFWaOnUq1atXJy0tjcePH5s7HCGMTmbShBBCWKVKlSpx5MgRTpw4QadOncwdjhBGJ0maEEIIq+Xq6kqzZs3Yvn07pUuXpkqVKtSqVQt7e3tzhyZEoUmSJoQQwipdvHiRd999l127dtGiRQvS09NJTEwkNjaWli1bMnToUIYNGyZla4TVkiRNCCGEVZo3bx6urq7ExcXh6Oioff3hw4f8+eefTJs2jdWrV7N69eoCdfoQwtzk4IAQQgirVLNmTRRFyZSgAZQtW5bAwED27NlD8+bN8ff3z7WAtBCWSmbShBBCWKXKlSuTlJSU4/t2dnbMmjULZ2dn/Pz82LFjBzVr1izCCIUoHJlJE0IIYZXCwsIIDAzM87pJkybx3nvv0aZNG7788ktu3rxZBNEJUXgykyaEEMIqXblyBVdXV4OuHTVqFM899xwffvgh06ZNw9PTk8aNG9OwYUMaNGhA9erVsbe3Z9++fezcuZPIyEhSU1NxcXGhV69e9OvXj+bNm/P48WMuXbrEpUuXSE5Oxs/Pz+AYhMgvlaIoOb7ZsmVL5dChQ0UYjhBCCGGYdevW8fnnn3PgwAFsbAxfGHry5AnHjx/n1KlT/PPPP/zzzz9cvXqV+/fv07p1a5577jn8/f1xcHDg8uXLrFu3js2bN3PmzBlsbGzw9PTE09MTe3t79uzZw4oVKwya0TM1lUp1WFGUlmaO4c87d+50cnJyMulzWrZsyaFDh4r9sV1J0oQQQlil9PR0Wrduzfvvv0///v1N/ryHDx9ib2+fqaTH/v376dmzJ5s3b6ZVq1YmjyE3kqQVP7InTQghhFWysbHhf//7H1OnTiU1NdXkzytbtmy2mmtt2rRhyZIl9OnTh/Pnz5s8BlGySJImhBDCanXt2pWqVavyww8/mC2GXr168dFHH9GhQwf2799vtjhE8SNJmhBCCKulUqmYPn06s2bNIj093WxxvPXWWyxcuJAXX3yRtWvXmi0OUbxIkiaEEMKq+fn5YW9vz++//27WOHr27Mn27dsZO3Ys27dvN2ssoniQJE0IIYRV08ymvf/++0WyNy03zZo1Y968eUyaNIncDuYJYQhJ0oQQQli93r17U7VqVf773/+aOxSCgoK4efMm//zzj7lDEVZOkjQhhBBWT6VSsXLlSpYtW0ZoaKjZYwkICGDjxo1mjUNYP+k4IIQQolhwc3Nj06ZNdO/eHQcHB3r06GG2WMaNG0fHjh1p1qwZL7zwgtniENZNZtKEEEIUG82bN2fjxo28/vrr7Nq1y2xx1K1bl02bNjFs2DB27NhhtjiEdZMkTQghRLHSrl071q5dy4ABA9i7d6/Z4mjTpg3r16/n5ZdfJjIy0mxxCOslSZoQQohip1OnTvz444/06dOHI0eOmC0OPz8/Vq9eTd++fXnw4IHZ4hDWSZI0IYQQxVL37t1ZsGABL7zwAqdOnTJbHF26dMHHx4d9+/aZLQZhnSRJK6Hi4+PZs2ePucMQQgiT6tu3L3PmzCEgIIDjx4+bLY4nT55QunRpsz1fWCc53VlCNW/enPv373P//n1zhyKEECb1yiuvYGtrS5cuXVi2bFmRn7Z8+PAhx48fp0WLFkX6XGH9ZCathKpZsyaTJk0ydxhCCFEkBg4cyKZNmxgxYgTz5s0r0m4AZcqUoUmTJtLTs4ipVKruKpUqWqVSnVWpVNn+wVOpVGVUKtWajPf3q1Qqb533Psh4PVqlUnUzdExjk5m0EkqWOoUQJU3btm3Zu3cvL774IleuXGH27NlF8lwbGxsWLFhAQEAAERERTJgwgfr16xfJs0sqlUplC8wHugJXgIMqlWqToii6bSDeBG4pilJbpVINAj4HBqpUqgbAIKAhUA3YoVKpfDLuyWtMo5IkTQghRInh5eVFZGQk7du3x8vLizFjxhTJc1u0aEFMTAzffvstnTp1ol27dnz66afFMVl78s4775h8/92tW7fyuqQ1cFZRlPMAKpXqZ6A3oJtQ9QamZXweCoSoVCpVxus/K4ryGLigUqnOZoyHAWMalSq3KV+VSnXIVA8WQgghhFHdUBSluzkDUKlUbkD1InjUTdQzWiN1XlukKMqijDiCgO6KogzP+PpVoI2iKME6sZ7MuOZKxtfngDaoE7d9iqKszHh9KfB7xm25jmlsuc6kKYrS0lQPFkIIIUTxoihKIpBYRI9blPFRbMnBASGEEEIUN3HAMzpfV894Te81KpXKDqgAJOVyryFjGpUkaUIIIYQobg4CdVQqVQ2VSlUa9UGATVmu2QS8nvF5ELBTUe8B2wQMyjj9WQOoAxwwcEyjkoMDQgghhChWFEVJValUwcA2wBb4XlGUUyqV6r/AIUVRNgFLgRUZBwNuok66yLhuLeoDAanAaEVR0gD0jWnK7yPXgwNCCCGEEMI8ZLlTCCGEEMICSZImhBBCCGGBJEkTQgghhLBAkqQJIYQQQlggSdKEEEIIISyQJGlCCCGEEBZIkjQhhBBCCAv0/8vlCeW5yktIAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 864x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "color_list = [\"#ffffff\", \"#a2b9bc\", \"#878f99\", \"#b2ad7f\", \"#6b5b95\"]\n",
    "values = [0, 0.005, 0.01, 0.025, 0.05, 0.1]\n",
    "title = 'Probability purchase area (t)'\n",
    "da_plot(xds_ind['probability_purchase_area'], geom, color_list, values, title, x='x', y='y', xlim=(65,100), ylim=(4,40))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Check that the volume distributed is equal to the volume injested by the user."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total distrivuted volume of cottom in India: 745.0000610351562 t\n"
     ]
    }
   ],
   "source": [
    "tot_volume = xds_ind[\"probability_purchase_area\"].sum().data\n",
    "print(f'Total distrivuted volume of cottom in India: {tot_volume} t')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Water impact**\n",
    "\n",
    "Water impact (m3/yr) = (water footprint (m3/yr) / All crops production (t)) * Probability purchase area (t)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "xds_ind = xds_ind.assign(water_impact = ((xds_ind[\"water_footprint\"]*mm_to_m3)/xds_ind[\"all_crop_production\"]) * xds_ind['probability_purchase_area'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 864x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "color_list = [\"#ffffff\", \"#b2b2b2\", \"#f4e1d2\", \"#f18973\", \"#bc5a45\"]\n",
    "values = [0, 0.1, 4, 8, 32, 64]\n",
    "\n",
    "title = 'Distribution of the water impact for 745 tonnes of cotton in India (m3/year)'\n",
    "\n",
    "da_plot(xds_ind['water_impact'],geom, color_list, values, title, x='x', y='y', xlim=(65,100), ylim=(4,40))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Total impact for 745 tonnes of cotton in india**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total water impact for 745 tonnes of cotton in India:: 1019260.6875 m3/yr\n"
     ]
    }
   ],
   "source": [
    "tot_impact = xds_ind['water_impact'].sum().data\n",
    "print(f'Total water impact for 745 tonnes of cotton in India:: {tot_impact} m3/yr')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Total impact of all produced cotton in india**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total water impact for cotton in India:: 12303593472.0 m3/yr\n"
     ]
    }
   ],
   "source": [
    "tot_impact_all = (((xds_ind[\"water_footprint\"]*mm_to_m3)/xds_ind[\"all_crop_production\"]) * (xds_ind[\"cotton_harvested_area\"]/tot_ha) * tot_pro).sum().data\n",
    "print(f'Total water impact for cotton in India:: {tot_impact_all} m3/yr')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### **Validation**\n",
    "\n",
    "In order to validate our analysis we compare our results with the values shown in  Table 3.4 of [this report](https://www.waterfootprint.org/media/downloads/Report18.pdf).\n",
    "\n",
    "According to this report the volume of the blue water use for cotton in India is 11.9 Gm3/yr, which is of the same order of magnitude as the value that we get here: 12.3 Gm3/yr.\n",
    "\n",
    "In addition the virtual blue water content is 2150 (m3/yr t), so the impact for 745 tonnes of cotton in India is equal to 1.6 Mm3/yr, which is again of the same order of magnitude as the value that we get here: 1.0 Mm3/yr. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}