EDA_Solutions_OneHot-March_2024.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "483876f5",
   "metadata": {},
   "source": [
    "### Notebook for EDA on solution portal analysis\n",
    "#### Several columns are transformed using one hot encoding which is suitable for statistical analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "7f5c22b3",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import kaleido\n",
    "import plotly.express as px\n",
    "import plotly.graph_objects as go\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "d98adc98",
   "metadata": {},
   "outputs": [],
   "source": [
    "### TODO Add your file path ###\n",
    "file_path = '../'\n",
    "file_path_2 = '../Figures_ver8/'\n",
    "#File that was extracted from the big database having only labelled data. Relevant = 1 means relevant.\n",
    "file_name = 'aaa_solution_export 20231029.xlsx'\n",
    "#file_name = 'local and indenous knowledge_analyses.xlsx'\n",
    "df = pd.read_excel(file_path + file_name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "329ecd81",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.drop(['Name','Email address','Contributors','Acknowledgments','Contacts of key institutional partners involved with the solution planning and implementation',\n",
    "         'Is there anything you would like to add with respect to CCA in mountains?'], inplace=True, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "307d13ea",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.replace('Other (Specify)','Others',inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "af4099ba",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.replace('Other (specify)','Others',inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "ec9f06f9",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.replace('Other (Please specify)','Others',inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "d9a0378b",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.replace('Other (please specify)','Others',inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "011bd2f0",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.replace(to_replace='GLOF(glacial lake outburst floods)', value='GLOF',inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "3383ed48",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.replace(to_replace='Natural snow scarcity (frequency of “bad winters”)', value='Scarcity of natural snow',inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "da4416f4",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.replace(to_replace='GLOF (glacial lake outburst floods)', value='GLOF',inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "dd3bf083",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.replace(to_replace='Periods with low temperatures (frost) and intense rainfall.', value='Low temperature and intense rainfall',inplace= True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "12a3c9c4",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.replace(to_replace='Glacial Lake Outburst Floods', value='GLOF',inplace= True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "d0bfde88",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.replace(to_replace='Increasing temperature (impacts on precipitation type snowfall vs. rainfall and on snow production capabilities)', \n",
    "           value='Increasing temperature',inplace= True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "36eaf1bb",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.replace(to_replace='soil erosion', value='erosion',inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "47bb9f51",
   "metadata": {},
   "outputs": [],
   "source": [
    "#df2 =df.iloc[:, np.r_[0:5, 6, 10, 12,14,16,18,20,21,23,32,33]].applymap(lambda s: s.lower() if type(s) == str else s)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "id": "f85ede34",
   "metadata": {},
   "outputs": [],
   "source": [
    "del df2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "4b60430e",
   "metadata": {},
   "outputs": [],
   "source": [
    "df2 = df[['Title', 'Body','Solution location','Was the solution implemented in more than one country?',\n",
    "    'What were the other countries?', 'Mountain range', 'Solution scale',\n",
    "       'Mountain ecosystem type(s)', 'Solution type(s)', 'Sectors',\n",
    "       'Climate impact(s) addressed', 'Climate impact time-scale(s)',\n",
    "       'Main benefit associated with the solution implementation',\n",
    "       'Co-benefits(s) associated with the solution implementation','Performance evaluation','Sendai Framework targets addressed',\n",
    "       'Sustainable development goals addressed (1 – 17)',\n",
    "       'Long term project sustainability and maintenance']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "ef2fb42b",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/hd/n13870fj1mv_x9bv1cytjvk80000gn/T/ipykernel_40702/1968158546.py:4: FutureWarning: In a future version of pandas all arguments of DataFrame.drop except for the argument 'labels' will be keyword-only.\n",
      "  df2 = pd.concat([df2, df2['Solution scale'].str.get_dummies(sep=';;').rename(lambda x: 'Solution scale:' + x, axis=1)], axis = 1).drop('Solution scale', 1)\n",
      "/var/folders/hd/n13870fj1mv_x9bv1cytjvk80000gn/T/ipykernel_40702/1968158546.py:5: FutureWarning: In a future version of pandas all arguments of DataFrame.drop except for the argument 'labels' will be keyword-only.\n",
      "  df2 = pd.concat([df2, df2['Mountain ecosystem type(s)'].str.get_dummies(sep=';;').rename(lambda x: 'Ecosystem:' + x, axis=1)], axis = 1).drop('Mountain ecosystem type(s)', 1)\n",
      "/var/folders/hd/n13870fj1mv_x9bv1cytjvk80000gn/T/ipykernel_40702/1968158546.py:6: FutureWarning: In a future version of pandas all arguments of DataFrame.drop except for the argument 'labels' will be keyword-only.\n",
      "  df2 = pd.concat([df2, df2['Climate impact(s) addressed'].str.get_dummies(sep=';;').rename(lambda x: 'Climate Impact:' + x, axis=1)], axis = 1).drop('Climate impact(s) addressed', 1)\n",
      "/var/folders/hd/n13870fj1mv_x9bv1cytjvk80000gn/T/ipykernel_40702/1968158546.py:7: FutureWarning: In a future version of pandas all arguments of DataFrame.drop except for the argument 'labels' will be keyword-only.\n",
      "  df2 = pd.concat([df2, df2['Sectors'].str.get_dummies(sep=';;').rename(lambda x: 'Sector:' + x, axis=1)], axis = 1).drop('Sectors', 1)\n",
      "/var/folders/hd/n13870fj1mv_x9bv1cytjvk80000gn/T/ipykernel_40702/1968158546.py:8: FutureWarning: In a future version of pandas all arguments of DataFrame.drop except for the argument 'labels' will be keyword-only.\n",
      "  df2 = pd.concat([df2, df2['Solution type(s)'].str.get_dummies(sep=';;').rename(lambda x: 'Solution type:' + x, axis=1)], axis = 1).drop('Solution type(s)', 1)\n",
      "/var/folders/hd/n13870fj1mv_x9bv1cytjvk80000gn/T/ipykernel_40702/1968158546.py:9: FutureWarning: In a future version of pandas all arguments of DataFrame.drop except for the argument 'labels' will be keyword-only.\n",
      "  df2 = pd.concat([df2, df2['Main benefit associated with the solution implementation'].str.get_dummies().rename(lambda x: 'Benefits:' + x, axis=1)], axis = 1).drop('Main benefit associated with the solution implementation', 1)\n",
      "/var/folders/hd/n13870fj1mv_x9bv1cytjvk80000gn/T/ipykernel_40702/1968158546.py:10: FutureWarning: In a future version of pandas all arguments of DataFrame.drop except for the argument 'labels' will be keyword-only.\n",
      "  df2 = pd.concat([df2, df2['Co-benefits(s) associated with the solution implementation'].str.get_dummies(sep=';;').rename(lambda x: 'Co-benefits:' + x, axis=1)], axis = 1).drop('Co-benefits(s) associated with the solution implementation', 1)\n",
      "/var/folders/hd/n13870fj1mv_x9bv1cytjvk80000gn/T/ipykernel_40702/1968158546.py:11: FutureWarning: In a future version of pandas all arguments of DataFrame.drop except for the argument 'labels' will be keyword-only.\n",
      "  df2 = pd.concat([df2, df2['Sendai Framework targets addressed'].str.get_dummies(sep=';;').rename(lambda x: x[0:8], axis=1)], axis = 1).drop('Sendai Framework targets addressed', 1)\n",
      "/var/folders/hd/n13870fj1mv_x9bv1cytjvk80000gn/T/ipykernel_40702/1968158546.py:12: FutureWarning: In a future version of pandas all arguments of DataFrame.drop except for the argument 'labels' will be keyword-only.\n",
      "  df2 = pd.concat([df2, df2['Sustainable development goals addressed (1 – 17)'].str.get_dummies(sep=';;').rename(lambda x: 'SDG' + x[5:8], axis=1)], axis = 1).drop('Sustainable development goals addressed (1 – 17)', 1)\n"
     ]
    }
   ],
   "source": [
    "#Make sure to remove in excel all spaces like: landslides, floods becomes landslides,floods otherwise sep=', '\n",
    "#but it can be messy\n",
    "#df = pd.concat([df, df['Mountain Range'].str.get_dummies(sep=',').rename(lambda x: 'Mountain Range:' + x, axis=1)], axis = 1).drop('Mountain Range', 1)\n",
    "df2 = pd.concat([df2, df2['Solution scale'].str.get_dummies(sep=';;').rename(lambda x: 'Solution scale:' + x, axis=1)], axis = 1).drop('Solution scale', 1)\n",
    "df2 = pd.concat([df2, df2['Mountain ecosystem type(s)'].str.get_dummies(sep=';;').rename(lambda x: 'Ecosystem:' + x, axis=1)], axis = 1).drop('Mountain ecosystem type(s)', 1)\n",
    "df2 = pd.concat([df2, df2['Climate impact(s) addressed'].str.get_dummies(sep=';;').rename(lambda x: 'Climate Impact:' + x, axis=1)], axis = 1).drop('Climate impact(s) addressed', 1)\n",
    "df2 = pd.concat([df2, df2['Sectors'].str.get_dummies(sep=';;').rename(lambda x: 'Sector:' + x, axis=1)], axis = 1).drop('Sectors', 1)\n",
    "df2 = pd.concat([df2, df2['Solution type(s)'].str.get_dummies(sep=';;').rename(lambda x: 'Solution type:' + x, axis=1)], axis = 1).drop('Solution type(s)', 1)\n",
    "df2 = pd.concat([df2, df2['Main benefit associated with the solution implementation'].str.get_dummies().rename(lambda x: 'Benefits:' + x, axis=1)], axis = 1).drop('Main benefit associated with the solution implementation', 1)\n",
    "df2 = pd.concat([df2, df2['Co-benefits(s) associated with the solution implementation'].str.get_dummies(sep=';;').rename(lambda x: 'Co-benefits:' + x, axis=1)], axis = 1).drop('Co-benefits(s) associated with the solution implementation', 1)\n",
    "df2 = pd.concat([df2, df2['Sendai Framework targets addressed'].str.get_dummies(sep=';;').rename(lambda x: x[0:8], axis=1)], axis = 1).drop('Sendai Framework targets addressed', 1)\n",
    "df2 = pd.concat([df2, df2['Sustainable development goals addressed (1 – 17)'].str.get_dummies(sep=';;').rename(lambda x: 'SDG' + x[5:8], axis=1)], axis = 1).drop('Sustainable development goals addressed (1 – 17)', 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "d025015e",
   "metadata": {},
   "outputs": [],
   "source": [
    "#df2.columns = df2.columns.str.replace('SDG:goal ', 'SDG')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "7cdb505c",
   "metadata": {},
   "outputs": [],
   "source": [
    "df2.rename(columns = {'SDG1: ':'SDG 1', 'SDG2: ':'SDG 2', 'SDG3: ':'SDG 3', 'SDG4: ':'SDG 4',\n",
    "                    'SDG5: ':'SDG 5', 'SDG6: ':'SDG 6', 'SDG7: ':'SDG 7', 'SDG8: ':'SDG 8','SDG9: ':'SDG 9', \n",
    "                   'SDG10:': 'SDG 10','SDG11:': 'SDG 11', 'SDG12:': 'SDG 12', 'SDG13:': 'SDG 13',\n",
    "                   'SDG15:': 'SDG 15','SDG16:': 'SDG 16', 'SDG17:': 'SDG 17'}, inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "e4b26f72",
   "metadata": {},
   "outputs": [],
   "source": [
    "#df2.columns = df2.columns.str.replace('Sendai Target:', 'Sendai target')\n",
    "df2.rename(columns = {'None':'No Sendai target', 'TARGET 1':'Sendai target A', 'TARGET 2':'Sendai target B', 'TARGET 3':'Sendai target C',\n",
    "                      'TARGET 4':'Sendai target D','TARGET 5':'Sendai target E','TARGET 6':'Sendai target F',\n",
    "                      'TARGET 7':'Sendai target G'}, inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "b4fbab34",
   "metadata": {},
   "outputs": [],
   "source": [
    "# remove other, others and other (please specify)\n",
    "df2.drop(list(df2.filter(regex='Others|Other (Specify)|Other')),axis = 1,inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "d0789136",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x700 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(ncols = 2, figsize = (15,7))\n",
    "split_character = \":\"\n",
    "df_new = df2.loc[:, (df2.columns.str.startswith('Climate Impact:')) | (df2.columns.str.startswith('Solution type:'))].corr(method='spearman')\n",
    "x0 = df_new.loc[df_new.index.str.startswith('Solution type:'),df_new.columns.str.startswith('Climate Impact:')]\n",
    "x0.columns = x0.columns.str.split(split_character).str[-1]\n",
    "x0.index = x0.index.str.split(split_character).str[-1]\n",
    "x0.head()\n",
    "\n",
    "del df_new\n",
    "\n",
    "df_new = df2.loc[:, (df2.columns.str.startswith('Solution type:')) | (df2.columns.str.startswith('Ecosystem:'))].corr(method='spearman')\n",
    "x1 = df_new.loc[df_new.index.str.startswith('Solution type:'),df_new.columns.str.startswith('Ecosystem:')]\n",
    "x1.columns = x1.columns.str.split(split_character).str[-1]\n",
    "x1.index = x1.index.str.split(split_character).str[-1]\n",
    "\n",
    "\n",
    "#First plot\n",
    "sns_a = sns.heatmap(x0,ax=axes[0], linewidths=.5,annot = True,fmt=\".2f\",cmap=sns.color_palette(\"vlag\",as_cmap=True),vmin = -1,vmax = 1)\n",
    "sns_a.set_xticklabels(labels = sns_a.get_xticklabels(), rotation=45, ha='right', rotation_mode=\"anchor\")\n",
    "sns_a.tick_params(axis='both', labelsize=12)\n",
    "#sns_a.set_title(\"Correlation climate impacts and solutions\")\n",
    "\n",
    "#Second plot\n",
    "sns_c = sns.heatmap(x1,ax=axes[1], linewidths=.5, annot = True,fmt=\".2f\",cmap=sns.color_palette(\"vlag\",as_cmap=True),vmin = -1,vmax = 1)\n",
    "sns_c.set_xticklabels(labels = sns_c.get_xticklabels(), rotation=45, ha='right', rotation_mode=\"anchor\")\n",
    "sns_c.tick_params(axis='both', labelsize=12)\n",
    "#sns_c.set_title(\"Correlation ecosystems and solutions\")\n",
    "fig.subplots_adjust(wspace=0.4)\n",
    "plt.tight_layout()\n",
    "\n",
    "figure_name = 'Correlations2'\n",
    "plt.savefig(\n",
    "    file_path_2 + figure_name + '.png',\n",
    "       bbox_inches='tight', transparent = True, \n",
    "            facecolor =\"w\", \n",
    "            edgecolor ='w', dpi = 400)\n",
    "del fig, axes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "7c587166",
   "metadata": {},
   "outputs": [],
   "source": [
    "def pvalues_spearman(df,string1,string2):\n",
    "\n",
    "    import pandas as pd\n",
    "    from scipy.stats import spearmanr\n",
    "\n",
    "    # Assuming df2 is your original DataFrame with the appropriate column names\n",
    "\n",
    "    # Calculate the Spearman correlation matrix\n",
    "    df_new = df.loc[:, (df.columns.str.startswith(string1)) | (df.columns.str.startswith(string2))].corr(method='spearman')\n",
    "\n",
    "    # Select columns and indices that correspond to 'Solution type:' and 'Climate Impact:'\n",
    "    impact_cols = df_new.columns[df_new.columns.str.startswith(string1)]\n",
    "    solution_cols = df_new.index[df_new.index.str.startswith(string2)]\n",
    "\n",
    "    # Initialize a DataFrame to hold the p-values, with rows as 'Solution type:' and columns as 'Climate Impact:'\n",
    "    p_values = pd.DataFrame(index=solution_cols, columns=impact_cols, dtype=float)\n",
    "\n",
    "    # Calculate Spearman p-values for each pair of 'Solution type:' and 'Climate Impact:' variables\n",
    "    for sol_col in solution_cols:\n",
    "        for imp_col in impact_cols:\n",
    "            # Calculate the Spearman correlation coefficient and p-value\n",
    "            spearman_result = spearmanr(df2[sol_col], df2[imp_col])\n",
    "            # Fill the p-values DataFrame with the calculated p-value\n",
    "            p_values.at[sol_col, imp_col] = spearman_result.pvalue\n",
    "\n",
    "    # Remove the prefixes from the column names for better presentation\n",
    "    p_values.columns = [col.split(':')[1] for col in p_values.columns]\n",
    "    p_values.index = [idx.split(':')[1] for idx in p_values.index]\n",
    "    return p_values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "01979405",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "climate_impact_cols = df2.filter(regex='^Climate Impact:').columns\n",
    "solution_type_cols = df2.filter(regex='^Solution type:').columns\n",
    "ecosystems_type_cols = df2.filter(regex='^Ecosystem:').columns\n",
    "\n",
    "# Initialize a DataFrame to store the counts\n",
    "co_occurrence_counts = pd.DataFrame(index=solution_type_cols, columns=climate_impact_cols, dtype=int)\n",
    "co_occurrence_counts_1 = pd.DataFrame(index=solution_type_cols, columns=ecosystems_type_cols, dtype=int)\n",
    "\n",
    "# Calculate the count of co-occurrences where both columns are 1\n",
    "for solution_col in solution_type_cols:\n",
    "    for climate_col in climate_impact_cols:\n",
    "        # Logical AND between the two binary columns to find where both are 1\n",
    "        count = (df2[solution_col].eq(1) & df2[climate_col].eq(1)).sum()\n",
    "        co_occurrence_counts.loc[solution_col, climate_col] = count\n",
    "\n",
    "        # Calculate the count of co-occurrences where both columns are 1\n",
    "for solution_col in solution_type_cols:\n",
    "    for ecosystem_col in ecosystems_type_cols:\n",
    "        # Logical AND between the two binary columns to find where both are 1\n",
    "        count = (df2[solution_col].eq(1) & df2[ecosystem_col].eq(1)).sum()\n",
    "        co_occurrence_counts_1.loc[solution_col, ecosystem_col] = count\n",
    "        \n",
    "\n",
    "# Remove the 'Climate Impact:' and 'Solution type:' prefixes for better display in the heatmap\n",
    "co_occurrence_counts.columns = co_occurrence_counts.columns.str.replace('Climate Impact:', '', regex=False)\n",
    "co_occurrence_counts.index = co_occurrence_counts.index.str.replace('Solution type:', '', regex=False)\n",
    "\n",
    "# Remove the 'Ecosystem:' and 'Solution type:' prefixes for better display in the heatmap\n",
    "co_occurrence_counts_1.columns = co_occurrence_counts_1.columns.str.replace('Ecosystem:', '', regex=False)\n",
    "co_occurrence_counts_1.index = co_occurrence_counts_1.index.str.replace('Solution type:', '', regex=False)\n",
    "\n",
    "\n",
    "# Plotting the heatmap\n",
    "#fig, ax = plt.subplots(figsize=(15, 7))\n",
    "#sns.heatmap(co_occurrence_counts, annot=True, cmap='Blues', ax=ax)\n",
    "#ax.set_title('Number of Co-occurrences of Solution Types and Climate Impacts')\n",
    "#plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "75853307",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1600x800 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(ncols = 2, figsize = (16,8))\n",
    "\n",
    "#First plot\n",
    "sns_a = sns.heatmap(co_occurrence_counts,ax=axes[0], linewidths=.5,annot = True,annot_kws={\"fontsize\":12},cmap=sns.color_palette(\"Blues\",as_cmap=True),vmin = 0,vmax = 50)\n",
    "sns_a.set_xticklabels(labels = sns_a.get_xticklabels(), rotation=45, ha='right', rotation_mode=\"anchor\")\n",
    "sns_a.tick_params(axis='both', labelsize=14)\n",
    "sns_a.set_title('Co-occurrences of solution types and climate impacts',fontsize = 16, pad=10)\n",
    "\n",
    "#Second plot\n",
    "sns_b = sns.heatmap(co_occurrence_counts_1,ax=axes[1], linewidths=.5,annot = True, annot_kws={\"fontsize\":12},cmap=sns.color_palette(\"Blues\",as_cmap=True),vmin = 0,vmax = 50)\n",
    "sns_b.set_xticklabels(labels = sns_b.get_xticklabels(), rotation=45, ha='right', rotation_mode=\"anchor\")\n",
    "sns_b.tick_params(axis='both', labelsize=14)\n",
    "sns_b.set_title('Co-occurrences of solution types and ecosystem types',fontsize = 16, pad=10)\n",
    "\n",
    "fig.subplots_adjust(wspace=0.4)\n",
    "plt.tight_layout()\n",
    "\n",
    "figure_name = 'Co-occurrence'\n",
    "plt.savefig(\n",
    "    file_path_2 + figure_name + '.png',\n",
    "       bbox_inches='tight', transparent = True, \n",
    "            facecolor =\"w\", \n",
    "            edgecolor ='w', dpi = 400)\n",
    "del fig, axes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "7c565a07",
   "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>Agricultural land</th>\n",
       "      <th>Forest</th>\n",
       "      <th>Grassland</th>\n",
       "      <th>High Alpine</th>\n",
       "      <th>Lakes and rivers</th>\n",
       "      <th>Meadows</th>\n",
       "      <th>Peatland</th>\n",
       "      <th>Urban</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Education and awareness</th>\n",
       "      <td>36.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Engineering</th>\n",
       "      <td>22.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Finance</th>\n",
       "      <td>9.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Land use practice</th>\n",
       "      <td>39.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Monitoring</th>\n",
       "      <td>15.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Policy</th>\n",
       "      <td>19.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Research</th>\n",
       "      <td>9.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Technological development</th>\n",
       "      <td>19.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           Agricultural land  Forest  Grassland  High Alpine  \\\n",
       "Education and awareness                 36.0    30.0       22.0         27.0   \n",
       "Engineering                             22.0    17.0       13.0         16.0   \n",
       "Finance                                  9.0    11.0        9.0          6.0   \n",
       "Land use practice                       39.0    32.0       23.0         22.0   \n",
       "Monitoring                              15.0    18.0       13.0         21.0   \n",
       "Policy                                  19.0    16.0       11.0         11.0   \n",
       "Research                                 9.0    10.0        8.0         14.0   \n",
       "Technological development               19.0    18.0        9.0         16.0   \n",
       "\n",
       "                           Lakes and rivers  Meadows  Peatland  Urban  \n",
       "Education and awareness                25.0      5.0       4.0    4.0  \n",
       "Engineering                            16.0      0.0       1.0    3.0  \n",
       "Finance                                 7.0      3.0       3.0    0.0  \n",
       "Land use practice                      21.0      6.0       5.0    0.0  \n",
       "Monitoring                             15.0      4.0       5.0    3.0  \n",
       "Policy                                 12.0      2.0       2.0    2.0  \n",
       "Research                                9.0      6.0       4.0    1.0  \n",
       "Technological development               9.0      2.0       1.0    3.0  "
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "co_occurrence_counts_1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "7b065db5",
   "metadata": {},
   "outputs": [],
   "source": [
    "p_climate_solution = pvalues_spearman(df2,'Climate Impact:','Solution type:')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "fb45b726",
   "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>Altered growing seasons</th>\n",
       "      <th>Drought</th>\n",
       "      <th>Flood</th>\n",
       "      <th>Heat stress</th>\n",
       "      <th>Landslides</th>\n",
       "      <th>Wild Fire</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Education and awareness</th>\n",
       "      <td>0.003708</td>\n",
       "      <td>0.632781</td>\n",
       "      <td>0.118946</td>\n",
       "      <td>0.259336</td>\n",
       "      <td>0.223717</td>\n",
       "      <td>0.564336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Engineering</th>\n",
       "      <td>0.268952</td>\n",
       "      <td>0.014296</td>\n",
       "      <td>0.049786</td>\n",
       "      <td>0.872542</td>\n",
       "      <td>0.975364</td>\n",
       "      <td>0.358021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Finance</th>\n",
       "      <td>0.298132</td>\n",
       "      <td>0.781157</td>\n",
       "      <td>0.844501</td>\n",
       "      <td>0.760267</td>\n",
       "      <td>0.057566</td>\n",
       "      <td>0.673708</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Land use practice</th>\n",
       "      <td>0.077695</td>\n",
       "      <td>0.000520</td>\n",
       "      <td>0.701209</td>\n",
       "      <td>0.832418</td>\n",
       "      <td>0.675787</td>\n",
       "      <td>0.733640</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Monitoring</th>\n",
       "      <td>0.938859</td>\n",
       "      <td>0.560182</td>\n",
       "      <td>0.440569</td>\n",
       "      <td>0.373668</td>\n",
       "      <td>0.791991</td>\n",
       "      <td>0.237285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Policy</th>\n",
       "      <td>0.220949</td>\n",
       "      <td>0.957860</td>\n",
       "      <td>0.063254</td>\n",
       "      <td>0.179673</td>\n",
       "      <td>0.025554</td>\n",
       "      <td>0.559299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Research</th>\n",
       "      <td>0.086664</td>\n",
       "      <td>0.038190</td>\n",
       "      <td>0.662723</td>\n",
       "      <td>0.086664</td>\n",
       "      <td>0.089645</td>\n",
       "      <td>0.882574</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Technological development</th>\n",
       "      <td>0.625280</td>\n",
       "      <td>0.734729</td>\n",
       "      <td>0.657563</td>\n",
       "      <td>0.042026</td>\n",
       "      <td>0.120856</td>\n",
       "      <td>0.146583</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           Altered growing seasons   Drought     Flood  \\\n",
       "Education and awareness                   0.003708  0.632781  0.118946   \n",
       "Engineering                               0.268952  0.014296  0.049786   \n",
       "Finance                                   0.298132  0.781157  0.844501   \n",
       "Land use practice                         0.077695  0.000520  0.701209   \n",
       "Monitoring                                0.938859  0.560182  0.440569   \n",
       "Policy                                    0.220949  0.957860  0.063254   \n",
       "Research                                  0.086664  0.038190  0.662723   \n",
       "Technological development                 0.625280  0.734729  0.657563   \n",
       "\n",
       "                           Heat stress  Landslides  Wild Fire  \n",
       "Education and awareness       0.259336    0.223717   0.564336  \n",
       "Engineering                   0.872542    0.975364   0.358021  \n",
       "Finance                       0.760267    0.057566   0.673708  \n",
       "Land use practice             0.832418    0.675787   0.733640  \n",
       "Monitoring                    0.373668    0.791991   0.237285  \n",
       "Policy                        0.179673    0.025554   0.559299  \n",
       "Research                      0.086664    0.089645   0.882574  \n",
       "Technological development     0.042026    0.120856   0.146583  "
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p_climate_solution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "4bbfb55e",
   "metadata": {},
   "outputs": [],
   "source": [
    "p_ecosystem_solution = pvalues_spearman(df2,'Ecosystem:','Solution type:')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "a94a0cd3",
   "metadata": {},
   "outputs": [],
   "source": [
    "with pd.ExcelWriter(\"../Figures_ver8/p_values.xlsx\") as writer:\n",
    "    p_climate_solution.to_excel(writer,sheet_name='Climate_Solutions')\n",
    "    p_ecosystem_solution.to_excel(writer,sheet_name='Ecosystems_Impacts')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "bc359c9d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Assuming p_values is the DataFrame containing the p-values from the Spearman correlation tests\n",
    "# which you obtained from running the previous code\n",
    "\n",
    "# Set up the matplotlib figure\n",
    "fig, ax = plt.subplots(figsize=(10, 8))\n",
    "\n",
    "# Draw the heatmap with the mask and correct aspect ratio\n",
    "sns.heatmap(p_climate_solution, annot=True, fmt=\".3f\", cmap=sns.cubehelix_palette(as_cmap=True), ax=ax)\n",
    "\n",
    "# Set titles and labels (might change depending on your actual columns)\n",
    "ax.set_title('P-values for Spearman Correlation')\n",
    "ax.set_xlabel('Climate Impacts')\n",
    "ax.set_ylabel('Solution Types')\n",
    "\n",
    "# Show the heatmap\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "2715b948",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Uv4+2gFBKKaWOH4OB3caYvcaYYuAL4Kxa0v0H65F+yQ0ZnFJKKaX+3Wp7xr1SrqBNa5RSTd1feW57rfblJ7jkmNjeP/ZG4AanSdOMMdOcPsdSdVTyQ8AQ53U4HgF7DjAOGOSKuJRqAFquUEo1ZS4rU3S85TeXHQ93vzXOZXEdK62AUG7TPaZfY4fgEtsS1jP05g8bOwyXWPX2JMbOO+YnP/6jLTrtXIZ+/m1jh+ESqy49j2FfHR95WXnheQx67cujJ2wC1tx+0dETNTBHZcO0epLUVpCoXlB5FbjfGFMm0uDlDqX+sq+GjmzsEFziwlXLWLZ2V2OH4RIjB3Zi0U03HD1hEzB26jS2TX+3scP427pfcz0bX325scNwiT533MWBg8dHQ73WrSIbO4R/DK2AUEoppdzMbuwNtalDQCunzy2BhGppBgJfOCofwoHTRaTUGPN9g0SolFJKqb/Mo4nfO9AKCKWUUsrNGrACYg3QSUTaAYeBi4FLnRMYY9qVvxeRD4HZWvmglFJKNQ0etqbdI00rIJRSSqnjhDGmVEQmA/MBD6wnXGwVkZsc86c2aoBKKaWU+lfTCgillFLKzewN+MhrY8xcYG61abVWPBhjJjVETEoppZRyDe2CoZRSSql6NWAXDKWUUkodx5p6BYStsQNQSimllFJKKaXU8U9bQCillFJuZkdbQCillFLq77M18RYQWgGhlFJKuVlDjgGhlFJKqeNXU++CoRUQSimllJvpGBBKKaWUcoWm3gJCx4BQSimllFJKKaWU22kLCKWUUsrNtAWEUkoppVxBu2AopZRSql46BoRSSimlXEG7YCillFJKKaWUUkodhbaAUEoppdxMH8OplFJKKVdo6i0gtAJCKaWUcjMdA0IppZRSrtDUKyC0C4ZSSimllFJKKaXcTltAKKWUUm6mg1AqpZRSyhX+9U/BEJEyYLPTpC+MMc9VSzMWuMcYc8bf3V61dRYbY1Y4Pt8E5BtjPnbVNv5iXG2B2caYno0ZR1P14JP3MXrcCAoKCnnwzkfZvnlHjTRPvvQoPXp3RwTi9x7goTseIT+/oN7lA4MCeOLFR+nUtQPGGB6+63E2rtvk1rzcdeFghvVoSVFxKU9+vIy4g+k10kSHBfDUtWMI8vcm7kAaj324lNIyO/07teCFm8eRkJoLwKIN+5k+dyORIX48etUowoJ8sRvD98t28tXC7W7Nx+DwKCZ3642HCHMOxfP53p1V5rf2D+D+XgPo1DyY93du48t9uyrmBXh6cW+v/rQLCMJgeH7zH2zLTOeRvoNp7R9QkSa3tITrlv/m1nwADI2O4s4BfbCJMGvPPj7ZVjUvbYICeXjoALqEBDN141Y+32HlJdLPl0eHDSTMxwe7ge/37OOruN0ATO7bi5Gx0ZTa7RzKzeWpVevILSlxf15aRHFH3z54iDBr3z4+2VEtL4GBPDTIyss7W7byeZyVl2Y2G2+fMAYvDxseYmPhoUO8t9X6DY1rGcu1PbrTNiiQa3/5jR0ZmW7Px7A2Lbh7TD9sIvywdS8fra35P3/3mH6MaBtNYWkZj/+8mriUDAACmnnx8EmD6BDWHAM8uWA1mxPTuG1kH0a1i6HEbudQZi5PLFhNbrH790l9tAvGsdNyRY242qLlir+kxdAh9L3zdsRmY9+s2ez45NMaafrddTsthg2jrKiQ1U8+Q2bczmNatsull9Dntlv5/tQJFGdluTUfmzeuY8Yn0zB2O6PGnsLpZ15QI82ObZv44pN3KSsrIyAwiPv/+xwlxcU8/+T9lJSWYC+zM2DwCM4+/zIAvvv6Ezas+x0RITAomGtuuoOQkDC35gMgtHsPOl54EWKzcWT5Mg7M/6nKfL+oFnS56ioCW7Vm36zvObhgQcW8LldcRVivXpTk5LDmyccrpvvHtqTzZZfh4e1DYVoq26e/T1lhodvz4h/bkhZDhyEiZOyMI23Txirzg9p3ILx3HwDsJaUcWbmMonSrLNjxgouxl5SAMRhjZ9+s7wHwDg0levhIbJ5elOTmcHjxQiudmwW2aUvMmLGIzUb6ls0kr11TZX5wl65EDhzkyEsJh377hcLUVLwCAmh96ml4+vuBMaRt3kzqhvVVlo3oP4CY0WPYMvWtBtkva1b/zltvvYbdbue0087g4ksurzJ/44b1PPLIA7SIjgZg5MjRXHHF1QDk5ubw8kvPEx+/D0S4554pdO9eeej9+qsZTJv2Ft98+yPNmwe7PS91aepdMFzRAqLAGNPXBev5s8YCucAKAGPM1EaI4R9DRDyMMWWNHcffMXrcSNq0a834EWfRu38vHn32QS4+48oa6Z579EXycvMAuO/Ru7n0mot5740P6l3+gSfuY9miFdx5w714eXni4+vj1rwM6xFLq8ggLnh0Jj3aRXDfJcO49oU5NdLdes4AZvy2jV/W7uO+S4Zx5ohOzFwSB8CG3Unc89avVdKXlRle/3YNcQfT8fP25MMHJrJ6ewLxie4p/NiA23v04Z7Vy0gpLGDq8BNYnnyE/bk5FWmyS0p4ffsmRkZG11h+crferE5J4tH1v+Mpgo+Hdch5YsPqijQ3d+1FXqn7T642gXsG9uW235aRXJDPB6eOY+mhI8RnO+WlqJiX125kTMuYKsuW2Q2v/7GZuIxM/Dw9+XD8OFYfSSI+O4fViUm8vXELZcZwa9+eXNWjC29u2OL2vNzdvy+3L7byMv2kcSxNqJaX4mJeWb+R0bFV81JstzN58RIKSsvwEOGdcWNZeSSJrenp7MnK5oEVK7l/QH+3xl+ZD+G+sQOY/N0iknIL+Ojik1myN4F96dkVaYa3jaZ1cCDnfjSXni3CmDJuAFd/+QtgVUys3J/IlLkr8LTZ8PH0AOD3A4m8uXwTZcYweURvJg3qxhvL3VvheDRaAfGnaLniH6CplyvEZqP/PXex+LY7KUhO5qQP3iNh6TKy4+Mr0rQYNpSAVq2Yd8HFhPbowYD77uHXa2846rK+kZFEDR5I3pFEt+fDbi/jsw/f5u4HniIkNIwn/3snffsPIaZl64o0+Xm5fPrB29x5/+OEhUeSnZUJgKeXF/c89Aw+Pr6Ulpby3BP30avPADp06sr4CedxzgVXAPDLT7P4ceYMrrx2snszI0KnSy5l42uvUJSRwYAHHiR100byjxypSFKSn8fuL78gvG+/GosnrlzB4UUL6Tbp6irTu1xxJXu+/YasXTtpMXwErU4+hfgfZ7k9L9HDRrB//lxK8vJof+bZ5BzYT3FmZmVecnOInzsbe3ExAS1bEjNiFPt+/KFi/v55sykrKqqy2pgRo0las4r8xESCO3UmrFdvUv5Y5/a8xJ4wjr0zv6UkN4dOl1xG1t49FZUlAMXZWez55ivKiooIbNuWliedzO4vZmDshoQliylIScbm5UXnSy8n58D+imW9AgIIbNOG4uzsurbuUmVlZfzvfy/z/POvEB4RweRbr2fY8BG0adOuSrpevXrz1NMv1Fj+rTdfZ+CgITzy6FOUlJRQVFRZYZKcnMS6dWuIjIxyez6OpqlXQLhtDAgRGS8iO0RkGXCu0/THROQep89bHLX7iMiVIrJJRDaKyCeOaRNF5HcRWS8iv4hIlCP9TcCdIrJBREY5r1dE+orIKse6vhOREMf0RSLyvIisFpGdIjKqlrgDRORXEflDRDaLyFmO6W1FZLuIvCsiW0XkZxHxdcwb4Ih5JXBrHd9HXeu9T0Ruc7x/RUR+c7w/UUQ+dbx/W0TWOrb7uNM640XkEcd3fIGInCIiKx3b+FpEApzSPe607a6O6f4iMl1E1ji+3/KYeji+ow2O77CTI+0cRz63iMhFf/IncVTjTh3DD9/MBmDTH5sJbB5IeGR4jXTllQ8APj7eGEfT5rqW9w/wZ+DQ/nz7+XcAlJSUkpOd6+rwqxjdpzVzV+0BYOu+FAL8mhEW5Fsj3cAu0Sz8Ix6Auat2M7pP6xppnKVlF1S0pMgvKiU+MYvIYD/XBu+ka3Aoh/PyOFKQT6kx/HbkECOqVTRkFhcRl5VBWbUm5n6envQJDWfOoXgASo0ht5aKhhNaxPJrwkG35aFc97BQDuXmkZCXR6ndsGD/IUZXq2jIKCpie3oGpdUuFtMKC4lztAbILy0lPjuHSD9rf65OTK7I+5bU9Irpbs1LaNW8/HLgEKNjaslLRs28ABSUWtcUnjYbnjbBYMW/PyeHAznu/d9w1iMqlINZORzOzqPUbmfBzgOMaR9bJc2Y9rHM2R4PwJbENAK9vQjz88G/mSf9YiP4YeteAErt9opWDr8fSKrcJ4lpRAW4739ENRwtVxzzerVcAYR270buoUPkJSRgLy3lwIJfiBk9skqa2NGjiJ9r3YFP37oVr4AAfMLCjrps3zv+w8Y33gbc37Vq756dREZFExHZAk9PLwYPHc36dauqpFm1YjH9Bw0nLDwSgCDHnVkRwcfHOieVlZVSVlaGiHXl4utXeVwsKiqsmO5OQW3bUZCcTGFqKqasjOQ1aypaCJQryckhZ/9+TFnNuq+s3bsozc+rMd0vKoqsXVbLlYzt24jo7/5KdN/wCIqzsynJyQG7nay9ewhs3aZKmoLkZOzFxQDkJyfj6ed/1PU2a96c/ESrYis34TBB1S6c3cGvRQuKszIpzs7C2O1k7txB8w4dqqTJP3KkorIk/8gRmgUEAlCan0dBSjJgtYwoTE/DKyCgYrmYMWNJWLqEhvhfAYiL205MTCzRMTF4eXkxduyJrFi+7JiWzcvLY/PmjZx2mtWwzsvLiwBHPgGmvv0/rr/hlgb5XzneuaICwtdxQil/XSQiPsC7wERgFNDiaCsRkR7AQ8A4Y0wf4HbHrGXAUGNMP+AL4D5jTDwwFXjFGNPXGLO02uo+Bu43xvTGasb5qNM8T2PMYOCOatPLFQLnGGP6AycAL0nlL60T8KYxpgeQCZznmP4BcJsxZlg9WaxrvUuwviOAgUCAiHgBI4HyfD1kjBkI9AbGiEhv5/UaY0YCvwAPAyc5trEWuMspXapj+ttAeUHtIeA3Y8wgR0z/JyL+WIWw1xx3oAYCh4DxQIIxpo+jGWjVNnMuENkiksSEyrsJSQlJRLWIrDXt0688xpKNv9CuY1s+m/5Fvcu3ahNLeloGT7/yON/+PIMnXnwEXze3gIgI9iM5o/IkmZyRR0S1ioLm/t7k5BdTZrcOysmZVdP0ahfBJw+dySuTT6JddHCNbUSHBtC5VShb4lPdkwkgwseHlMKCis8phQVE+BzbBXaMrz+ZxUVM6TWAd0eM496e/fHx8KiSpndIGBnFRRyupUDhahG+viTn5Vd8Ts4vIOIvVBZE+/vROSSYLak1u9RM7NCWlQnuvyMW4etLcr5TXgoKiPA99rzYBD46+UTmnnkGq5OS2Zae4Y4wjyoiwJeknMrfV1JuPhEBvjXT5DrlNbeAyABfYoMCyCwo4tGTB/PpJafw0ImDKlpAODuzeztWxB+pMb2h2TEuef1LaLlCyxV/m29EBPnJyRWfC5JT8I2IqJYmnIIqaZLxjQivd9mYUSMoSEkla/duV4Zbp8z0NELDKuMOCQ0nMyOtSpqkxMPk5+XywlNTeOKh21mxtLL1pN1exmMP/Ic7b76c7j370r5jl4p5M7/6mHv+M4lVKxZx9vlVm6m7g3dIMEUZlefOosxMvENC/vZ68xISCOtjVWRE9B+Ad0jo317n0Xj6+1OSV1lhX5qXh1c9FQwhnbuQe6jqzZbWp55OuzPPJrhL14ppRRkZBDgqMoLatscz4OiVFn+Xl38AxTmVLShLcnLx8g+sM31oj55kx++ruZ6gIHwjIisqUILat6ckN5fCVPeVU6tLTU0hIrLy2iE8IoLUtJrb37ZtKzfeMIkHH7jH6m4BHDmSQPPmwfzf/z3DTTdew0svPUdBgVVGWbFiGWHhEXTo0LFhMnIUNnHdq1Hid8E6Chwn6/LXl0BXYJ8xZpexbk/X7HRX0zjgG2NMKoAxpvwI1RKYLyKbgXuBHvWtRESaA8HGmMWOSR8Bo52SzHT8XQe0rW0VwDMisgnr5BsLlLe12WeM2eC8fC3b+6Su0OpY7zpggIgEAkXASqyT8ygqCwoXisgfwHpH/rs7rfdLx9+hjunLRWQDcBXgXBVbW75PAaY40i8CfIDWjhgeFJH7gTbGmAKsAtdJjjs9o4wxNdr8i8gNjjsqa6dNm1bH11C32moUTR0Dtz1052OM7XcKe3ft47QzT6l3eQ8PT7r36sqXH3/NeadcQkF+AddNvuZPx/dn1Pb/XD0ntVWglmd3x8E0zn74G654ehZfLdzOCzeNq5LO19uTZ28cy6tfrya/0J3dF2r7To9tSQ8ROgcF88OBvVy//DcKykq5tH2XKmlOjGnVIK0foPZ9csyZcfD19ODZUUN5dd1G8ktLq8yb1KMLpXY7P8W7Pz+1/76OPS92A1ct+JWzZs+le2gI7YOCXBfcn1BrPswxpAE8bEKXyBC+2bSby2f8TGFJKZMGdquS7upB3Si1G+bF7XdVyH+Z3dhd8vqX0HKFliusDP6dckWtdymrH2BqOxHXvayHtzfdJl3F1mnv/blY/oZaj+zV4rOXlbF/325uv+cx7pzyBD9+9wWJRw4DYLN58Niz/+PF/33Ivj07OXQwvmK5cy+8khf/9yFDh4/l159nuy8TlYHXmFJXOe/PiPv4I2LHnMCABx7Cw8cHU+383Nj8WkQT3LkLyWsru5/Gz57FvlnfceDnnwjt1h2/KKtONWHZYkK7dafdmWdj8/LClDXAcb/2AlKtSf1btiK0Z0+OLKtaR2vz8qLthIkkLF6EvbgY8fQkcvAQEleucH289ajt51Q9ex07deazz7/mnWkfctbZ5/Hoow8CVveNXbt2MnHi2Ux9Zzo+Pr58+cVnFBYWMuPzj5l01bXuz8Axstlc92qU+N247rqOKKXVtlt+K1rqWOZ/wBvGmF7AjU7p/6ryzlZl1D4GxmVABDDAUVOf5LRN545a5cvXFfcxrdcYUwLEA1dj9TtdinXXoAOwXUTaYd1ZONFx52UOVb+D8lvHAixwKrB1N8Y4/6fUlm8BznNaprUxZrsx5nPgTKAAq5A2zhizExiAVWB4VkQeqZ5BY8w0Y8xAY8zAG2644Ri+Erhk0oXMXPAFMxd8QXJSCi1iKm9qRcVEkZyUUueydrudebN+5uTTTwQg6UhSrcsnHUki6Ugym9Zb/fJ/nv0L3Xt1rXWdf8d5Y7ry8YNn8vGDZ5KaVUBkSGWtdWSIP6mZ+VXSZ+YWEejXDA9H9WNksD+pWVaa/MISCoqsE+jKrYfx9LDR3N8bsC68nr3hBOav3suiDQdcng9n1Vs8RPj4klpUUM8SVZdNKSxge5Z1d31x4mE6BQVXzPcQYVRUDAsTD7s05rokFxQQ6V/ZwiTSz5eUgmMfDMlDhGdHDWN+/EEWHUqoMu/0dq0ZERvNoyvW1LG0ayUXFBDp1Hw20teX1D+Rl3K5JSX8kZzK0OjG6c+YnFtAVGDl7ysqwI/UvIKaaZy6UEQG+JKSW0Cy47U1ybqm/HX3QbpEVt5Jm9CtLSPbxfDf+VWbKqsmTcsVx7Def3u5olxBcjJ+TndCfSMjKEhJrZYmBd8qaSIpSE2tc9mAlrH4R0dzyqcfMuG7r/GNiODkj6bjE+q+O+4hoWGkp1WWhTLSUwkODq2WJpyeffrj7eNDYGBzOnftycEDVe9Q+/kH0KVbL7Zs+qPGNoYMH8u6NcvdkwEnRRkZVVoneAcHVxkz4a/KT0pk0+uvsu7Zp0les5qC1LrLjq5SmpeHl39lVwNPf39KamnN6R0SSszI0Rz8ZUGV8R5KC6zyXllhITn74yta2BRnZXFg/jz2zfqe7L17KMlx/9gJJbm5NAusbPHgFRhQpXVHOZ/wcFqddDL7Zv1QdTBJm422Z0wkY8d2svZYLYO8mwfTLKg5XS6/gm7XXItXQCCdL70cTz/3domMiIggxan1UmpKCmFhVbtz+/v74+trxTFkyDDKSkvJysokIiKCiIgIunWz6qRHjx7Lrl1xHEk4TGLiEW688Wouv+wCUlJSuPmma0lPr9oSSR07d1VA7ADaiUh5B6JLnObFA/0BRKQ/UN656VesGvkwx7zyI1RzoPwK5Sqn9eQANdoHOWrQM6SyH+YVwOLq6erRHEg2xpSIyAlUre2vwRiTCWSJSHnnwMv+wnqXYBUGlmAVFG4CNjju8gRhFQayRCQKOK2O9a8CRohIRwAR8RORzvVnlfnAf8qbgopIP8ff9sBeY8zrwCygt4jEYI0G/inwIo59+HfN+PArzj35Ys49+WJ+/WkhZ51v9bvq3b8XOdm5pCbXbDbVum2rivcnnDKafXviAfjt58W1Lp+akkZiQiJtO1hf+dBRg9mza68rwq/i28U7uPKZWVz5zCwWbzzA6UOtn3+PdhHkFhSTll3zwn1dXCIn9G8LwOlDO7J0o1WhEOo0XkT3NuGIQFaedeJ66IoRxCdmMePXbS7PQ3VxWRm09A+gha8fniKMi27JiuRja86eXlxEcmEBrRwn6AFhkezPrTyRDgiL5EBeTpUuHu60PS2DVoEBRPv74WkTTm7TkqWHE46+oMNDQwcQn5XNjB27qkwfGh3FFd27cO/iFRTV0mfVHbanZ9AqoDIvJ7VuydKEY8tLsHczAry8APD2sDEoKpL9ToNXNqRtSem0Dg4kJsgfT5uNkzu3ZsneqhVSS/YeZkK3tgD0bBFGblEJafmFpOUXkpSTT5tg6zQwqFVUxeCVw9q04MoBXbn7x2UUlf4zxtArM3aXvP7FtFzx59b7ry1XlEvfvoOAVq3wj47G5ulJ65NPImFp1YvshKXLaHv6eABCe/SwmounpdW5bNaevcw6fSJzzrmAOedcQEFKCguuuobC9Jpd8lylXfvOJCUmkJKcSGlpCatXLaHvgCFV0vQdMJSdcVspKyujqKiQvXviiI5pSU52FvmOC8ni4iK2b91AdHRLwOq2UW7jH79XTHennP3x+EZG4hMWhnh4EDloEKnVnhzxV3iVXzyL0Ob0CSQsWfK313k0BakpNGsehFdAINhsNG/fgdwDVW8Kefr70+rEkzi8ZCHF2ZUNfMTTE5unV8V7/5iWFGZYN2s8fCrrAsP79iNjh3ufdAaQn5hIs+BgmgUFITYbwZ27krWnajnZKzCQtmecyYH582pUGrU66RQK09NJXV9ZuVWYlsq2aVPZPv19tk9/n5LcHHZ+/iml+VVvxrlaly5dOXz4EEeOJFBSUsKiRb8ybHjVsV/S09MqWt7s2LENu91OUFBzQkPDiIiI5OBBaz+u/2Mdbdq0pV37Dnz9zY98+tnXfPrZ10RERPD21PcJDXX/U2Pq0tS7YLjiKRi+jqZ25X4yxkwRkRuAOSKSitXfsvwZJt8CVzqWWQPsBDDGbBWRp4HFYj2Caz0wCXgM+FpEDmOdDMsLFj8C3zgGOPpPtZiuAqaKiB+wF+suwLH6DPhRRNYCG7AKPUdzNTBdRPKxTr5/dr1LsfpNrjTG5IlIoWMaxpiNIrIe2OrIS61V1MaYFBGZBMwQEW/H5IdxfL91eBJ4FdjkKCzEA2cAFwGXi0gJkAg8AQzC6stpB0qAm+tZ71+y5NdljD5xJD+tmEVhQSEP3flYxbypn/yP/97zBKnJqTzz2hMEBPgjIsRt28njU5456vJPP/w8L7zxDF5enhw6cJiH7qytm67rrNhyiOE9Y/nmiXMpLC7jqY8rB8B5+daTeObT5aRmFfDm92t58tox3DixHzsPpjNrhXVxO65fG84d3YUyu6GopIz/vm+Vdft0iOT0oR3ZfSidjx88E4C3f1jHyq3uaUVQZgyvbdvA/w0agU2EeYf2E5+bw5mtrH/DWQf3EdrMm3dGjMPP0xNjDOe37chVSxeQX1rK69s28nCfQXiKjSMFeTy3qXIk53HRLfkt4ZBb4q4rLy+u3cBrJ4zEJsLsvfHsy8rhnI5WXr7bvY9QH28+HD8Ofy8v7MZwcdeOXDx7AZ1CmnN6uzbszsji49OsFjdvb9zKyoRE7h7Yl2Y2G6+Ps65NtqSm88Ka9XXG4aq8vPTHBl4d7cjLvnj2ZedwTgdHXvZYefngpMq8XNSpI5f8tIAwHx8eGTwImwgi8NvBQyx3jOQ+JjaGu/r1Idjbm5dGjWBnZhZ3Ljm2wZv+aj5eWPQHr589xnqc6La97E3P5txe1jXmzM17WB5/hBFto/nuqgkUlpbyxILKJqwvLvqDJ8YPxcvDxuGs3Ip5947tTzMPD948ZwwAmxPTeO43N48ifhR2FzQz/hfRcoWWK/42U1bGHy++zOjXXrYepTl7Dtn79tHhnLMA2PPdDxxZsZLo4cM4/ZsvKS0sZM1Tz9S7bGPw8PDgskk38crzj2C32xk55mRiW7Zh0S9zARh70unExLaiV+8BPDplMmITRo89lZat2nLwwD7en/oKxm514Ro0ZBR9+g8G4JsvPiLxyCFsYiMsPIIrrql1rFOXMnY7u76cQe/b7rAew7liOflHjhAzyurRlLB0Cc2Cgiq6UmAMLcedxOrHH6WssJBu115HcOcueAUEMOzZ59n34ywSVywnctAgYsecAEDq+j9IXOH+1hwYQ+LKFbQ+9TREhMxdcRRlZhDSxeoKmBG3nYi+/fHw9iF62EjHItbjNj19fWl14snWesRG9t7d5B22ykPN23cgxHEHPmf/PjJ31ffv5rq8HF64kPbnnAcipG/dQlF6GmG9rKFh0jZvImrIUDx8fGg5zioDGbudXTM+xz8mhtDu3SlISaHzZdY4IkeWLyenljEiGoKHhyeT/3MnD0y5G7vdzqnjJ9C2bTt+/PF7ACZOPJslSxYx+8fv8fDwoFkzbx56+LGKbty3Tr6DZ599gtKSEqKjY7jn3gcbJR9H09SfgiGu6HulVC1M95h+jR2DS2xLWM/Qmz9s7DBcYtXbkxg7b+bREzYBi047l6Gff9vYYbjEqkvPY9hXx0deVl54HoNe+/LoCZuANbdf5LJT/M9HVrnkZHtK9NAmXuxQ6i8zXw0defRUTcCFq5axbO2uoydsAkYO7MSim/5c95h/qrFTp7Ft+ruNHcbf1v2a69n46suNHYZL9LnjLg4cTD56wiagdatIl52/z3rkV5ddwP/wxIkNXq5wRQsIpZRSStXDzr+6+4RSSimlXKSpt4DQCgillFLKzbQLhlJKKaVcodYH9TQhWgGhlFJKudm/fABJpZRSSrlIU28B0UhP/1RKKaWUUkoppdS/ibaAUEoppdzMjnbBUEoppdTf19RbQGgFhFJKKeVmOgaEUkoppVyhqVdAaBcMpZRSSimllFJKuZ22gFBKKaXcTAehVEoppZQr2Jr4YzC0AkIppZRyM+2CoZRSSilX0C4YSimllFJKKaWUUkehLSCUUkopNyvTp2AopZRSygWaeA8MrYBQSiml3E27YCillFLKFZp6FwytgFBKKaXcTAehVEoppZQrNPUKCB0DQimllFJKKaWUUm6nLSCUUkopN9MxIJRSSinlCtoCQimllFL1shvjktexEJHxIhInIrtFZEot888SkU0iskFE1orISJdnWCmllFJuYRNx2asxaAsIpZRS6jghIh7Am8DJwCFgjYjMMsZsc0r2KzDLGGNEpDfwFdC14aNVSiml1L+NVkAopZRSblbWcE/BGAzsNsbsBRCRL4CzgIoKCGNMrlN6f9D+IUoppVRT0dQfwylGHw2m3EN/WEqpps5lp/i39851yTHxlg4TbgRucJo0zRgzrfyDiJwPjDfGXOf4fAUwxBgz2Xk9InIO8CwQCUwwxqx0RXxKuZGWK5RSTZnLyhQ3vbjQZcfDqfec0ODVGdoCQrnNmDPfaOwQXGLxrMkM6nxaY4fhEmt2zuPsFTMbOwyX+H74uQy+9+PGDsMlVv/flQz+76eNHYZLrH7yckZe9E5jh+ESy768sbFDqMFR2TCtniS1FSRqFFSMMd8B34nIaOBJ4CTXRKiU++z45MPGDsElul4xiW9GjW3sMFzi/KWL+HHCGY0dhktMnDObq579rbHD+Ns+emAcHW9p+vkA2P3WOI6sWNbYYbhE9HAdbqmcVkAopZRSbmZvuHu3h4BWTp9bAgl1JTbGLBGRDiISboxJdXt0SimllPpbmvpTMLQCQimllHKzBhwDYg3QSUTaAYeBi4FLnROISEdgj2MQyv5AMyCtoQJUSiml1F8nTXwQCK2AUEoppdysrIG6rxtjSkVkMjAf8ACmG2O2ishNjvlTgfOAK0WkBCgALjI6IJRSSinVJGgLCKWUUkr9Yxhj5gJzq02b6vT+eeD5ho5LKaWUUkorIJRSSik3a8AuGEoppZQ6jtlsjR3B36MVEEoppZSbaQWEUkoppVyhiQ8BQROvP1FKKaWUUkoppVRToC0glFJKKTcra+wAlFJKKXVcsDXxJhBaAaGUUkq5mXbBUEoppZQrNPWnYGgXDKWUUkoppZRSSrmdtoBQSiml3ExbQCillFLKFZp6CwitgFBKKaXcrEzrH5RSSinlAqJjQCillFKqPmVoDYRSSiml/r6m3gJCx4BQSimllFJKKaWU22kLCKWUUsrNtAuGUkoppVyhiffA0BYQSimllLuVGeOSl1JKKaX+3WwiLnsdjYiMF5E4EdktIlNqmd9cRH4UkY0islVErj5q/H8x30oppZRSSimllDoOiYgH8CZwGtAduEREuldLdiuwzRjTBxgLvCQizepbr3bBcDERKQM2O036whjz3F9c1wpjzHDXRFbnNs4Euv/VGF3ttutHMWRgG4qKSnn21V/ZtTelRppzJvTi/DP70DI6mDMve4+snEIAWscGM+X2k+jUIYL3PlnFl9+vr1jmvIm9OeOUHojA7J+38c2sjW7Py90P38SIMYMoLCji8SkvEbdtT400T754H916dqK0tJStm3byzCOvU1ZaBkD/wb24+6Eb8fT0JDMjmxsvvw+AYaMGcPdDN2HzsPHD1z/x0bSv3ZqP3M1xJH0+G2O3Ezx6EOETxlaZn7VyPWlzlwBg825GiyvPxqd1NAAJ739D7sYdeAYF0P6pOyqWKcvN5/DbMyhOzaBZeAixt1yKh7+vW/NR7u6zBjG8ayyFJWU88eVy4g6n10gTExLAU5ePIsjXm7jD6Tz6xTJKy+y0iQjikYtG0CU2lLd/Ws9ni7cB0DoiiGcuH125fGgA0+Zv5Itl292Wj6Edo7l7wiBsIvywbjcfL91aM6+nD2R451gKS0p5YuZK4o6k17vsjSf2YXTXlhhjSM8r5ImZK0nNKXBbHsrdPmk4w/q1prColGfeXsTOfak10kRHBPL47ScSGODDzn2pPPnGb5SW2Qn0b8YDN40lJiqI4pIynp26iH0HMwC44LSeTDyxGwLM+m0HX8/dXGO9DaWs0basmjotV/x1f+zZw7vzf8Fu7Jzcty/njxhWZf6izVuYuXIVAD7NmnHzaafSLioKgNzCQt6YPZcDKSkIwn8mnk7Xli3Zl5TE23N/orC4hMjg5tx19pn4eXu7NR9RgwfT9/bJiM2DfbPnEPfZ5zXS9Ln9P0QPHUppUSFrn3mOzJ27ABgw5T6ihw+jKCOTBVfVvDHZ+eKL6H3rzcw64yyKs7Lcmg+AiAH96XnDDYjNxoGff2b319/USNPjxhuIGjiQsqIiNrzyKll7rPLTidPfp7SgAGO3Y8rKWHrHnQB4BQQwYMr9+EZGUZCcxLrnnqMkN8/teenVPpTLTuqEzSYs3nCEOav2V5nv6+3BjRN7EBbkjYdNmPf7QZZuPkKLUD9uObtHRbrIYF9mLt3Lz2sOce7odvTvFIHdGHLyS3h39jYyc4vdnpfR3UN5+IJOeIjw1YojvPNz1bwE+Xry3BXdaB3hS1GJnSmfbGfXkTzaRfrx2rWVeWkd7surs/fy4cJD3DahHReOiCE9x4r/pVl7Wbw1ze15+X3zZt74fAZldsOE0aO4bMLpVeYv+2M907/7HhHBw8PG5EsuoXfnTgBcdM99+Pn4YLPZ8PCwMe3RRwDYdeAAL3/0CcUlJXh42Ljzisvp1r692/NSlwYchHIwsNsYsxdARL4AzgK2OaUxQKBYj+YIANKB0vpWqhUQrldgjOnrihU1QCHB0xgzC5jlzu0cqyED2tAyJpjLbvyU7l2iuOvmMdx8b80T05btR1i5Jp5Xnz6nyvTs3CJen7aEkUOrHhDatQ7ljFN6cNPdX1NaWsYLj53JyjXxHD7ivhPt8DGDaN02hnNPvpaefboy5fHJXH3BnTXSzftxIf+95wUAnnr5fs6+YDzfzphDQKA/9z82mduufZikIymEhDYHwGazcd+jtzL56gdJSkzlo29fY8mvv7NvzwG35MPY7SR+MovW91yLV2gQ+554k8C+3fCOjapI4xUeSpspN+Dh70vupjiOfDSTdv+9FYDgkQMIOXEYR96rWkmSOncxft070HrCWFLnLCJtziIiLzzNLXlwNrxrLK3Cgzjv+e/p2Tqc+88dwjX/m1cj3eQJ/ZmxZDsLNsYz5dwhnDW4I9+u3El2fjEvfr+asT1bVUl/ICWby1+ZDVjN4ub893wWbXHPPinfxn0TBzP5w19Jzs7no5tOY+mOQ+xLqfxND+8UQ6uwQM579Qd6tgzn/omDuWbaT/Uu++mybbzzq1U5d+HQLlw3thfP/bjabfkAGNq3Fa1aNOfi27+gR6dI7rl2JDc8/H2NdDdfNoQv527m1xV7uOe6UZwxrivfL9jGFWf3Z9f+NB586WdaxwRz1zUjueOp2bRrFcLEE7tx/YPfUVpaxksPns7KP/ZzKDHbrfmpi44Bof4GLVf8BWV2O+/M+5nHL7uYsKAg7nn/QwZ37kTriPCKNFHBwTxzxWUE+Pqybvce3pwzjxevmQTAe/MX0L9De6acfy4lZWUUlZQA8MbsuVx90on0bNOaXzZs5LuVq7hs7Bj3ZcRmo99dt7P0znvIT0nhxHenkrB8OTnxlReILYYOIbBlS3665DJCu3en/9138tuNtwCwf95P7Jn5HYMeerDGqn0jI4gcNIC8xET3xV8tL71uvplVDz9MQWoao155hcRVv5N78GBFksiBAwmIieG3628guEsXet16C8vuurti/soHHqQ4u+pxvOMFF5C6cSO7v/6GjhecT8cLLmD7Bx+6NSsicOUpXXjhi/WkZxfx2KSBrN+VQkJafkWaE/u3JCE1j1e/2USgrxfP3TiUFVsTSUzP55HpayrW8+rkEayLsyre5646wMwl+wA4eWBLzhrRjo/mx7k1LzaBxy7qwlWvrycxs4iZ9w/k100p7E6szMvN49uw/VAOt0zbTPsoPx67qDNXvr6Bfcn5nPnsmor1LH9mBD9vrLyJ8MFvB3j/l4M1tukuZXY7r33yGS/eczcRoSHc9MSTjOjbl7axMRVp+nfvxoh+fRER9hw8yGNvTeWTZ5+umP/K/fcSHBhYZb3vfPU1k846kyG9e7Fq4yamfvUNr025r8HyVZ0rx4AQkRuAG5wmTTPGTHO8jwWcd+AhYEi1VbyBdcxPAAKBi4wx9vq2qV0wGoiIxIvI4yLyh4hsFpGujukRIrLAMf0dEdkvIuGOebmOv2NFZJGIfCMiO0TkM0ctEyIyQEQWi8g6EZkvItGO6R1E5CfH9KVO2/tQRF4WkYXA8yIySUTecJr3uoisEJG9InK+Y7pNRN5y9OuZLSJzy+e50sgh7Zi/cAcA2+KSCPD3JjTEr0a6XXtTSUzOqTE9M6uAHbuTKS2r+ptv0yqEbXGJFBWXUmY3bNx6mNHD3FtrOebEocz57lcAtmzcQWBgAGERITXSrVi8puL91k1xRLawCkbjJ45l4c/LSTpitQDJSLcuLHv07szB/QkcPphIaUkpC+YsZsxJQ92Wj4K9B2kWGUazyFDE05OgwX3IWV/1rr5fpzYVrRd8O7SmNL2yYODXpR0eATX3Ye76bTQf0R+A5iP6k7N+W4007jC6RyvmrrPupGw5kEqgTzPCAmu2vBjYsQW/bbYKd3PW7WFMj9YAZOQVsv1QGqX1XE0O6tSCQ2k5JGa67+5Lj5ZhHErLISEjl9IyOz9vjmd0t5ZV0ozu1oq5G6xCzJZDqQT6NiMswLfeZfOKSiqW923m2SAPjhw1qC0/LdkJwNZdyQT4exMWXPM3079HDItW7QVg3uKdjBrUFoC2LYNZt/kwAAcSMomOCCCkuS9tY0PYuiup4v9+/bYjjB7crgFypFTD0HJF/XYlJNAiNIQWISF4eXgwqkc3Vu/cWSVNt1YtCfC1zgFdYmNIy7HKFvlFRWw9cJCT+/YBwMvDgwAfHwAOp6XTo7VVCd2nXTtW7HDvxWFot67kHj5M3pEjmNJSDv76GzEjR1RJEzNyBPt/mg9A+rZteAUE4BMWCkDqxk0UZ9csMwH0+c9kNr/1Dg31lOCQzp3JSzhCfmISprSUhCVLaDG0ahmmxdAhHPztNwAy4+Lw8vfHO6Rm+anGMr9YZa6Dv/xaY53u0D4miKSMfFIyCymzG37fnkz/zhE10vl4ewDg3cyDvMIS7PaqX3aPtqGkZBaQlm215i0srmwv5+3lQUPsnD5tg9ifks/BtEJKygxz1iVzUp+qeekY7c+KOKt14d6kfFqG+RIW6FUlzfCuoRxILSAhvdDtMddlx969xEZGEhMZgZenJ+MGD2b5+vVV0vj5+OA43FFYVFTxvj6CkFdgtQjNKyggPDjY5bE3FmPMNGPMQKfXNKfZtX051X+UpwIbgBigL/CGiATVt02tgHA9XxHZ4PS6yGleqjGmP/A2cI9j2qPAb47p3wGt61hvP+AOrP437YERIuIF/A843xgzAJgOlFfhTQP+45h+D/CW07o6AycZY+6mpmhgJHAGUN588lygLdALuA4YVstyf1t4WADJKbkVn1PScokIC/jb6923P50+PWIJCvTBu5knQwe0JTI88OgL/g0RUWEkJVbWACcnpRIZFV5neg9PD04/60RWLl0LQOu2LQlqHsDUT57n45mvc/rZJzrWG05SYmW3lKTEVCKiwtyUCyjNyMbT0foCwCs0iNKMuluOZC5Zg3+vzkdfb1YuXsHWsckrOIjS7NyjLOEakUF+JGVW1ugnZ+UT2bzqxW5zP29yCoopcxQSkjLziWh+7N1DTu7Tjp/X73NNwHWICPIjKatqPiICq+YjMsiXpKw8pzR5RAb5HnXZm0/qw4/3nMP43u0qWkO4U3iIP8lpTnGm5REeWm2fBPqQm1+5T1LSc4kI9Qdg9/70ioqFbh0iiIoIJDLUn70H0+nbNZqgAG+8m3kyrF9rIl1wPPmryoxrXupfScsVf0FaTi7hQZVl4LDAwIoKhtos2LCJ/h06AJCYkUlzfz9e/3EOd7w7nf/NnkthsdWMvHVkBKsd3RtWbN9Bah0X967iGxFBQXLleb8gJQXf8IgaafKPkqa66BHDKUhJqeje0BB8wsIoSK2MszA1FZ+wsBppClMqy08FqWmVaYxh6JNPMOq1V2k9/tSKNN7BwRRlWBfHRRkZNGuAi8OQAG/Ss4sqPqfnFBESWLUrzi/rDhET5s9r/xnB09cN5rMFu2pcuQ3pFsmqbUlVpp03uj0v3zqcYT2iKlpDuFNUsDdHMirzkphRRFTzqnnZcSiXU/tav6nebQKJCfWmRbBPlTQTBkQye23VvFwxpiWzHxrMs5d3JcjX/Q3vUzIyiQgNrfgcERpCSkZmjXRL1/3BFQ88xJRXX+N+R6snABHh3hdf5obHnuDHRYsrpk++9GKmfvU1F9x1D29/+RXXn3+uO7NxVA04COUhwLnZb0uslg7OrgZmGstuYB/Qtb6VahcM16uvqeRMx991WCdfsE7K5wAYY34SkYw6ll1tjDkEICIbsE7cmUBPYIGj9s4DOCIiAcBw4GunWj3nI8nXxpi6uiR/72g2s01EytvZj3QsYwcSHXc5anBuwvPOO+/Usfq61VrF5oJR3/cfyuDzmet46YkzKSgsYfe+1BqtJFytttrU+vIy5bFbWb9mCxvWWn3xPTxtdO3RiVuumoK3jzfTv3yZLRt21NrkqsEHxq/jYJW3fQ+ZS9fS5sEbGzigP6HW76/qF/h3vmNPDxuje7TkrXl//IXgjl3te6B6kLX8Bo9h2bd/2cjbv2zkqtE9uGBoF979bdNfDfOY1PpzqpaV+o4Nn/6wntsnjeCD589jz4F0dsWnUma3s/9wJp/O2sArD0+goLCU3fvTKHPz/3197Fp5oP46LVdglStG+9Y7rllVtRy4pY4j4Kb4/fyyYSPPXnU5YDXj3nMkketPPZkusbG8O38B365YyWVjx3DbGRN4d/7PfLl0OYM7d8TLozHu5R39IFlfmcPD25tuV17OkrvudXFcR1Hr1189L3WfFJbdex9F6ek0a96coU89Re7BQ6RvrTn+UUOovaxQNS8924VyICmH5z5fT2SIL/dd3Je491dXtHLwsAn9OoXz9aKqlUDfLtnLt0v2csawNpw0sCXfLXVvJUTt33jVvLzz834evqAzsx4YxM6EPLYdyq24KQDg5SGc2DucF3+ozMtnSw7xxtx9GODOie154LyOPPDpDjflojLy6mrbV6MG9GfUgP5sjIvj/e++5+V7rfrbNx6cQnhICBnZ2dzz4ku0jm5Bny5d+GHhIm695CLGDBzIwtVreOGDDyuWaQwNOAbEGqCTiLQDDgMXA5dWS3MAOBFY6jjGdwH21rdSrYBoWOXVi2VUfvfH+hMqcnpfvrwAW40xVe4cOJq9ZNZTYKmvbbjzdqTa33o5muyUN9sxn81+46jLnH16L844xRpMNW5XMpERAeBo4R8RFkBqumuasc9dsJ25C6wVX3/FUFJSXX/H/YLLzuDsC8cDsG3zTqJaVLZ4iIwKJyW59oF3rpt8KcGhzXnmv09VTEtOTCUzI5vCgiIKC4pYv2YLnbq2IzkxlagWlXc1olqEk1rHel3BMySI0vTKFg8l6dl4BtdsVVV48AhHPphJq7sm4Rngf/T1Ng+gJDMbr+AgSjKz8Qxy353p84d34ewh1uBC2w6mEeXUvD+yuR8p2VUHWczMKyLQtxkeNqHMbogK9iM1+9gGYhzeNZYdh9NJz3Vv88Pk7HyimlfLR7XBIq00/kCKI40/KdkFeHnYjroswPyN8bxyxQluqYA495QeTDzRqhzfvieFyLDK30xkmD+pGflV0mfmFBLgV7lPIkIDKtLkF5Tw7NuLKtJ+/b9LSXB00ZqzMI45C63m0TdcPJiU9IZpaVMbbb2g3ORfVa7Y8cmHx7IYAGFBgaQ6jRWQlpNDaGDNc018UjJvzp7LI5dcSJCfdWwMDwokPCiILrGxAAzv1pVvV6wEoGV4GI9fdgkAh9PSWLvbvS0IClJS8I2sPO/7RkRQkFp1oN6C5BT8IiNIc0pTmFZzMN9y/rEx+EVHc/IH71ekP+n9afx6w80UpdccmNlVClPTqrTM8AkPpzAtvVqaVHycxunwDQ+rSFMeW3FWFokrVxLcpTPpW7dSlJmJd0gIRRkZeIeEUJyZ6bY8lEvPKSI0qLIOLjTQu8ZgkaN6RzNnpdWdMzmjgJTMQmLC/Nh7xDpH9e4Qxv6kXLLzS6jNyq1J3HVhb7dXQCRmFhEdUpmXFiHeJGdVzUtuYRlTPqnsgrvoyWEcSqssO4zpEca2g7mk5VTmxfn9l8sSePeW3u4Iv4qIkBBSnH7DKekZ9XaX6NOlCwnJ08nMySE4MJBwR3efkKAgRvbvz/a9++jTpQvzl6/gP5da//djBw3k/9w8xsjRHEu3EVcwxpSKyGRgPlaF9HRjzFYRuckxfyrwJPChiGzGOrbfb4yp+wCEdsH4J1gGXAggIqcA9Xd0qyoOiBCRYY7lvUSkhzEmG9gnIhc4pouI9PmbMZ7n6LMZhfWIFZf4fu5mrrvjS66740uW/r6XU0+wLkq6d4kiL7+Y9GoXIn9VsKMJfWR4AKOGdeCXJbtcsl5nX382m8vOmsxlZ01m0S8rmXCO1W2iZ5+u5ObmkZZS8ybUWRecyrCRA3j4zuer1Jwv/nUV/Qb2xMPDhrePNz37dCF+z0G2bd5J67YxxLSMwtPLk5MnjGHJr6tcnpdyvu1aUpycSnFKOqa0lOzVGwns161KmpK0TA698Skx11+Id4v6m3yWC+jbjazlViuBrOV/ENCv+hN9XOebFXFc/spsLn9lNou3HOD0AVYT256tw8ktLCGtlovvdbsTGderDQATBnRg8dZjG0DplL5t3d79AmDb4TRahQUSE+yPp4eNU3q1ZemOQ1XSLN1xiNP7Wl0TerYMJ7ewmLTcgnqXbRVa2TVpdNeWxKe6Z6DWmT9v5er7v+Xq+79l6Zp4xo+2uu306BRJbn4xaZk1/+/Xb0tgrGOA2dPGdGbZ2ngAAvya4em4AzlxXFc27jhCfoFV6AkOspqHRoUFMGZwW35Zvtst+VHqH+ZfXa4o1ykmhiPpGSRlZFJSVsbSrdsZ7BjpvlxKVhbPfvMtd5w1kVinrgAhAQGEBwVyKM26pN+0L55W4dZFcWaeVddiN4avlq1gfP9+rg69iowdcQS0bIlfdAvE05NWJ47jyLIVVdIkLF9BG0eXhNDu3SnJzatxYe8se+8+Zp95DvMuvJh5F15MQUoKv1x7g1srHwAyd+7EPzYG36goxNOTmNGjSfz99yppEn//nVbjxgEQ3KULJXn5FGVk4OHtjYdjvA4Pb28i+vcjZ//+ymVOsspcrU46kcRVVdfpDvsScogK8SO8uQ8eNmFIt0jW76p6zZWeXUj3tlZ3gCA/L6LD/EjOrLxBMbR7FKu2Vu2yEBVS2eWzX6dwjqS5phxcn037c2gT6UfLMB+8PIQJAyL5dVPVvAT6euLlYV30XjQihjW7M8ktrGz0dMbAKH5cUzUvEUGVLZZO6RvBzgT3P5mkS7t2HEpO4khKCiWlpfy2ejXD+/WtkuZQUlJFmXtn/H5KS0tpHhBAQVER+Y5xHgqKili7ZSvtWlqVkGHBwWyIs25o/LF9Oy2jovi3MMbMNcZ0NsZ0MMY87Zg21VH5gDEmwRhzijGmlzGmpzHm06OtU1tAuJ6voyljuZ+MMVPqSf84MMPRp3MxcAQ4pg6Fxphix6BNr4tIc6z9+SqwFbgMeFtEHga8gC+Av9qh+1uspjVbgJ3A74DLr0xWrd3P0AFt+PydKygqKuW513+tmPf8I2fwwhsLSUvP47wzenPxuf0JDfFj+uuXsGpdPP/3xkJCg/145+UL8fdrht1uOP/MPlx162fkF5Tw5JTTCAr0obTMzqtTF5ObV1RPJH/f8kVrGDFmEN/9Mp3CgkKeeOCVinmvvvsETz30KqnJ6Ux5/D8kJiQz/auXAVj48wree/Nz4vccZMWStXz+49sYu50fvp7Pnl3WifaFJ97m9fefwsPDg1nf/Mze3e572oJ4eNDisjM5+NJ0jN0QPGog3rFRZCy0Tu4hJwwh5YdfKcvNJ/GTHxzL2Gj36GQADk+dQd6OfZTl5rHrrmeJOPskgkcPImzCGA6/NYPMJWvxCgum5S3VW3O5x/IdhxneLZaZU86hsLiUJ7+qLMS9cs04nv5mJanZBfxv7h88fdlobhrfl52H05m12qqwCgv04cPbJuDv44UxcPHIblz84izyikrw9vJgSKcYnv3WfRVC5crshv+bvYbXrzoRm0348Y897E3O4txBVuF65ppdLN95mOGdY5h551kUlpTy5MyV9S4LcOsp/WgTHoTdGBIz83hulvsLcSvXH2BYv9Z8+drFFBZbj+Es939TTuO5dxaTlpHP25/9zmO3n8T1Fw1iV3wqs3+zmnG2iQ3h4VtPwG63E384k+emVi7/9F2nEBToQ1mZnZenLycnz/2PMqtLWYP3lVLHES1X/AUeNhs3jD+Zx2Z8gd1uOLFvb1pHRDBvnVX5fdqA/nyxdDk5BYW84xjA0Waz8fK11qMqrz/1FF7+fhalZWW0CA7mtokTAFi6dRtz164DYGjXLpzYx713dU1ZGRteeY1RL/0fYrMRP2ce2fHxtD/rTAD2/jCLxJWraDF0COO/+IyywiLWPvt8xfKDH/0vEf364t28Oad/+zXbpn9A/Jy5bo25zrzY7Wx5eypDn3wCsdk4uGABuQcO0OY06ylY++fNI3nNWiIHDmTce+9WPIYTwDskmIEPPQyAzcPG4cWLSXHsy91ff8OAKVNodfIpFKSksO7ZZ92eF7sxfLJgJ/de3BebCEs2JXA4NY8T+llPW1i4PoEflsdz/RndeerawYjAVwt3k+uoIG/maaNnu1A+/Klql4QLxnYgOswPYyA1q5CPfnJ3lwWrXPD4lzv5YHJfPGzC1ysT2HUkj0tGWXmZsTSBji38+L+rulNmN+xOzOOBTyrj8vGyMaJrKA9/XjXW+8/pSLeWARjgcFoBD3/u3gFbATw9PLj9ssu496VXsNvtnDZqJO1iY/lh4SIAzjphLEvWruPnFSvx8PDAu5kXj9x8EyJCRlY2/33Dar1dVmbnxKFDGNKrFwD3TLrK8WjPMpp5eXH3pCvdnpf6NGAXDLcQV/SxV3+diHgDZY4mLsOAt131uC1XEpEAY0yuiIQBq4ERxpj6nttkxpx59C4YTcHiWZMZ1Nn9j4hsCGt2zuPsFTOPnrAJ+H74uQy+9+PGDsMlVv/flQz+71ErjJuE1U9ezsiL/vwYMP9Ey7680WWn+KvXf+uSk+0H/c5r4sUO5W7Hc7niz3TB+CfresUkvhk1trHDcInzly7ixwlnNHYYLjFxzmyueva3xg7jb/vogXF0vKXp5wNg91vjOLJiWWOH4RLRw0e67Pz93EfLXXYBP+WqEQ1ertAWEI2vNfCViNiAYuD6Ro6nLrNFJBhoBjx5lEKCUkoppRqHliuUUkr9Y2kFRCMzxuzCehTWP5oxZmxjx6CUUk2V3WjDBdUwtFyhlFLHt4YahNJdtAJCKaWUcrO6nk+olFJKKfVnNPUxIPQpGEoppZRSSimllHI7bQGhlFJKuZldx3tWSimllAtoFwyllFJK1UsrIJRSSinlCk29C4ZWQCillFJuphUQSimllHIFWxNvAaFjQCillFJKKaWUUsrttAWEUkop5WbaAkIppZRSrtDEG0BoBYRSSinlbsbe2BEopZRS6nigXTCUUkoppZRSSimljkJbQCillFJupl0wlFJKKeUKTbwBhFZAKKWUUu5mtAJCKaWUUi6gj+FUSimlVL20BYRSSimlXMHWxGsgdAwIpZRSSimllFJKuZ1WQCillFJuZoxrXsdCRMaLSJyI7BaRKbXMv0xENjleK0Skj6vzq5RSSin3EHHdqzFoFwyllFLKzRpqDAgR8QDeBE4GDgFrRGSWMWabU7J9wBhjTIaInAZMA4Y0TIRKKaWU+jv0MZxKKaWU+qcYDOw2xuw1xhQDXwBnOScwxqwwxmQ4Pq4CWjZwjEoppZT6lxKjQ3Mr99AfllKqqXPZLYbTl8x0yTFx3pjzbgRucJo0zRgzrfyDiJwPjDfGXOf4fAUwxBgzubb1icg9QNfy9Er9g2m5QinVlLmsTPHed2tddjy87pyBDd6cQrtgKLcZfe5bjR2CSyyZeQuDnvm8scNwiTUPXsrgez5u7DBcYvWLVzLo2eNkvzxwKROXzWzsMFzix5HnMujFGY0dhkusuecSl63LVXX9jsqGafUkqa0gUevWReQE4FpgpAtCU8rt9nz3TWOH4BIdzjmfZz5Y3thhuMSDV4/g1pcXNXYYLvHmXWN59fNVjR3G33bHpUOZfeZZR0/YBJwx6wdmL9rS2GG4xBlje7psXU38IRhaAaGUUkodRw4BrZw+twQSqicSkd7Ae8Bpxpi0BopNKaWUUv9yWgGhlFJKuVkD9nZcA3QSkXbAYeBi4FLnBCLSGpgJXGGM2dlgkSmllFLqb2vqg1BqBYRSSinlZg1VAWGMKRWRycB8wAOYbozZKiI3OeZPBR4BwoC3xCrElBpjBjZMhEoppZT6O5p4/YNWQCillFLu1pDjPRtj5gJzq02b6vT+OkAHnVRKKaWaoKbeAkIfw6mUUkoppZRSSim30xYQSimllJvpE6+VUkop5QrSxJsQaAWEUkop5WbG3tgRKKWUUup4oF0wlFJKKaWUUkoppY5CW0AopZRSbqZdMJRSSinlCram3QBCKyCUUkopd9MKCKWUUkq5gmgXDKWUUkoppZRSSqn6aQsIpZRSys20BYRSSimlXKGpD0KpFRBKKaWUm2kFhFJKKaVcoYnXP2gFhFJKKeV2WgGhlFJKKRewNfFRKHUMCKWUUkoppZRSSrmdtoBQSiml3Ey7YCillFLKFZp4AwitgGgqRKQM2Ow06Wzgc2PM8MaJyD1uu3YkQ/u3oaiolGff+JWde1NrpDn3tJ6cf0YfWkY3Z+JV08nKKQSgdWwwUyaPo3P7CN77/He++GEDAJFhATx424mEhfhhtxt+XLCNb+Zscms+hrWP5u6TB2AT4YeNe/ho5bYaae4+eQAjOsRQWFrK4z+uIi4pg2YeNqZdcTJeHjY8bcKvOw4ybam124N8mvHMOSOIbh7AkaxcHvhuGTmFJW7NR0WsZw1ieLdYCovLeOLL5cQdTq+RJiY0gKcuH0WQrzdxh9N5dMYySsvsnNqvHVee0BOAguISnv/2d3YdyQDg4QuHM7J7LBm5hVzy4o9uz8ew9tHcfdIAbDbhhw17+GhVPfulpJTHZzvtl8ud9ktc5X65aXRvRneKxRhIzy/k8dmrSM0tcHte8jbHkTxjNhg7zUcNIvT0sVXmZ69aT/q8JQDYvJsRdcXZeLeKrnfZ1O9+JnfDdkQEj0B/WlxzAZ4hQW7Nx7C20dw9rr/1v7J5Dx+t3l4jzd3j+jOiXQyFpWU8Pm8VcckZFfNsInx8+akk5+Zz13dLKqZf2K8TF/brTJndsGxvAv9bssGt+TgarYBQ/yT/ljLF2ridvPPjHOzGzqmDBnLh2DFV5i9cv4GvF1vHDd9m3tx69pm0j7GOk98vW8H8NWswBsYPHsjZI0cAsCchgTe+m0VJaQk2m41bzz6TLq1auTUf7WODOXlIe0Rg484kVm4+XGX+kJ6x9GwfDlhNs8Oa+/HqjNUUFpcyqHsMfTtHAYbkjHxmL9tFWZmha9swRvVtTXiwLx/8uInEtFy35qFc97ahnD+2IzabsHzzERasOVBlvk8zDyad1o2QIB88RPhl3UFWbU2smC8C9182gMzcYqZ+b/2ETx/WlhG9osnNt8pEs5bvZeu+muUUV2sT3ZwxA9piE2HLnmTWbkuoMn9At2i6tg13xC2EBvnyzsy1FBWX4e3lwUlD2hPW3A+ABb/v4UhqLt7NPDh9RCeCArzJzi1i7rJdFJWUuT0vEf370eO66xEPGwd+XsCeb7+tkabH9dcTOXAAZUVFbHj1NbL37gVg3LvTKC0owNjtmDI7y+6+G4Cgdu3odcvN2Ly8MGV2tkydSuauXW7Py44t6/n+q+nY7XaGjDyRE8efWyPN7rgt/PDVB5SVleIfEMSt9zxJcuJhPnn35Yo0aalJjJ94MaNPOqNi2sKff2D2tx/z+EsfEBDg3vJRfZr6Yzi1AqLpKDDG9K027bgqKAzt35qW0c259NbP6N45irtuGMNNU2oeADfvSGTF2v289uRZVaZn5xbx+vvLGDm4XZXpZXY7b320nJ17U/H18eK9Fy9gzcaD7D+UgTvYRLjv1IFMnvEbSdkFfHT1qSzZdYh9qdkVaYZ3iKF1aCDnTv2RnjFhTBk/iKs/+pniMjs3f/YrBSWleNiE9644mRV7EtiSkMZVw7qzJj6Jj1Yu5Kph3blqWA/eWLjBLXlwNrxrLK0igjjvue/p2Tqc+88bwjWvz6uRbvKE/sxYsp0FG+KZct4QzhrckW9X7iQhPZeb3p5PTkExw7rG8MAFQyuWn7N2N18v38Fjl4xwez5sItx3ykAmf+HYL5Mc+yWt2n4JqWO/fF77fvlk1TamLrEqtC4a2JnrRvTkuflr3JoXY7eT/NksYu++Fq+QIPY/+Sb+fbvhHRNVkcYrPJRW992Ah78veZvjSPpoJq0fvrXeZUPGjyb8nFMAyPhlOWk//krUlee4LR82Ee47aQCTv15IUk4BH11+Ckv2HK66T9pFW/vk/dn0jA5jyskDufqzBRXzL+7fmX3pWfg386qYNqBVJGM6tuSSj+ZRUmYnxM/bbXlQqok67ssUZXY7b/3wI09fezXhzYO44423GdqtG62jIivSRIWG8PwN1xPo58uauDhe/+57Xr31ZuITk5i/Zg2v3HozXh4e/PeDjxjUtQux4eFMnzefS086gUFdurBmRxzT587n+Ruvc1s+RODUoe2ZMX8r2fnFXD2xD7sOpJOaVVnR/fuWw/y+xaqU6NgqhME9YigsLiXArxmDukcz7bv1lJbZOWdsF7q3i2Dz7mRSMvL59rcdnDa8g9tiry0vF47rxP++3UhmThH3XTaAzXtSSUzPr0gzpm8sR9LzmfrDFgJ8vXjk6sGs2Z5Emd2qxT2hX0sS0/PxaVb1Eua3dYf4dd3BBs3LCQPbMfO37eQWFHPJqT3ZeyiD9OzK/bJu+xHWbT8CQLvYYPp3iaao2KpMGDOgLfFHMpmzbBc2m+DlYfWKH9Q9loNJ2axdmMDA7jEM6hHLsg0HagbgSjYbPW+8kd8feZSCtDRGvfQiSatXk3uw8vuMHDAA/5hoFt54E8FdOtPr5ptZfu+9FfNXPvQwJTk5VVbbbdJV7JzxBSl//EHkgAF0m3QVKx962K1ZsdvLmDnjXW684xGah4Tx6rP306P3IFrEVFYSFuTnMXPGu1x/28OEhEaQk51l5bFFLHf/96WK9Txx/w307De4YrmM9FR2bt9ISGi4W/Pwb6BjQDRhIpLr+DtWRBaJyDciskNEPhNH1ZiIPCIia0Rki4hMc5q+SESeF5HVIrJTREY5pnuIyIsisllENonIfxzTB4jIYhFZJyLzRSTa1fkZObgd8xfFAbBtZxIB/s0IC/GrkW7XvlQSU3JqTM/MKmDH7mTKyuxVpqdl5Fe0pCgoLGH/oQwiwvxdHX6FHjFhHMzI5XBmHqV2Owu27WdMp5ZV0ozpHMuczfsA2JKQRqBPM8L8fawYS0oB8LTZ8PSwVYxdN6ZzS2ZvsmqbZ2/ay9jOVdfpLqN7tGLu2j1WrAdSrVgDfWukG9ixBb9t2g/AnLV7GNOzNQCb96eQU1BsLb8/lcjmld/9+r3JZOcXuTsLQC37Zft+xlT7Dsd0imXOFqf94l3HfrFV7pe84tKK5X29PBtkrMHCvQfxigyjWUQo4ulJ0OA+5K2v2nLAt2MbPPyt/eTTvjUlGdlHXdbD16dieVNU4vZhlnu0CLX2SZZjn+w4wJgO1fZJx5bM2RoPwJYjVfdJZIAvI9vH8IPj/6LceX078dHv2yhxHAsyGug3Vh9jXPNSyl2OtzLFzoOHiAkLJTosFC9PT0b36c3KbVWPk93btCHQzzpOdm3VmrQs60LkYHIyXVq1wqdZMzw8POjZri0rtlot5gTIL7SOKXmFhYQGBbo69CpiwgPJyCkkM7cIu92wbW8KnVqH1pm+R7sItjm1HrXZBE8PGyLg6WkjN986H6dlFVS5WG4IbVsEkZJZQFpWIWV2w7odyfTuUPVizhjw8fIAwNvLg/zCUuyOyofgAG96tg9jxeYjDRp3bVqEBZCVW0h2nrVfdu5Po0PLkDrTd2kTTtz+NACaeXoQGxnI1j0pANjtpqKVQ/uWIWzba03ftjeF9vWs01WCO3Ui70gi+UlJmNJSDi9dStSQwVXSRA0ZzKGFCwHIjNuJl78/3iH1x2YMePpZ5XhPfz8K093fKuXAvt2ERbYgLKIFnp5e9Bs4kq0bq94U+mP1Unr1HUJIaAQAgUHNa6xn147NhEVEERpWWWE56+sPmHjulf+IR1DYRFz2agzaAqLp8BWRDY73+4wx1W9L9gN6AAnAcmAEsAx4wxjzBICIfAKcAZS3dfc0xgwWkdOBR4GTgBuAdkA/Y0ypiISKiBfwP+AsY0yKiFwEPA1c48oMhof6k5xa2QQwJS2P8FB/0jLy61nqz2kREUinduFs25nksnVWFxHoS1J2XsXnpJx8esZUPcFGBPiRlF2Zr+ScfCID/UjLK8QmwifXjKdlSABfr9vF1gTrhBXq70NantXdJC2vkBA/HxpCZHM/kjKdYs3KJ7K5H2k5lQWX5n7e5BQUV9yhSMrMJ6J5zUqKMwd3ZOWOwzWmN4SIgGPYL4FH2S9X19wvADeP7s2EXu3ILSrhps9+dXteSjOz8QytPGF6hgRRsK/uOz9ZS9fg36vzMS2bOnM+2SvWY/P1oeV97rurB47vO6fy+07KzadndFjVNAG+JOVU7rfknHwiA6x9cte4/ry+ZAN+Tq0fANqEBNK3ZQQ3j+pNcamd1xavZ1ui+ws+9dLKA/XPctyXKdKyswlvXnmsC28eRNzBuo+TP69dy4DO1nGyTYsoPvp5Adl5+TTz8mRt3E46xcYCcMPECfz3/Q95f+5PGGPnxZtvdGXYNQT6NSM7r7jic05+MTERtVd6eHrYaN8ymPmrrErZ3Pxift9ymMkXDqS0zM7ew5nsS8h0a7z1CQ7wJiOnskI4M7eIttFVm7Ev3nCYm87uyTM3DMOnmSfvz9lacfg8f2xHvluyp0brB7BaTgzpHsWBpBy+XbyHgqLSGmlcyd+3GTnV9kuL8IBa03p62GgbHczCtdYNjuYB3hQUlXLK0A6EB/uRnJ7HonXxlJbZ8ffxIt/RvTa/sAQ/H69a1+lKvmFhFKZWVloVpqYR0qVzlTQ+YWEUpDilSUvFJyyMogyrNfHQJx7HGMOB+fM5MP9nALa99x5DHn+M7ldfjdiE5ffd7/a8ZGWmExxSWbZrHhLKgX1Vu32kJCVQVlbGWy89QlFhAaPGTWDgsLFV0qxfs5x+g0ZWfN6ycQ3Ng0OJadXWneEfs39AHcjfoi0gmo4CY0xfx6u2NtGrjTGHjDF2YAPQ1jH9BBH5XUQ2A+OwChTlZjr+rnNKfxIw1RhTCmCMSQe6AD2BBY4Cy8OAy2+/19afyZV3/Hx9PHnyvlP53/Tl5Be4b+yE2o4JptrVR20HjvI0dmO47P15TPjf9/SICaNDRM2a2QZVW6zmGPJTbd8N6BDFmYM78sacP1wY3LGrPcZq+ahluSr7Zfo8Jrzh2C/hlfvl7SWbOOPNH/hpazwXDuxcy1pcrJb/C6k1esjfsYfsZWuJOH/8MS0bfu6ptH9xCkFD+5L560pXRFunWr/vavHV9b8ysn0MGflF7Eiq2ZXKwyYE+jTj6s8W8Nri9Twz0f1dfJRqYo77MkX14zvUfZzcuGcvP69ZxzWnWcfJ1pGRXDBmNA+9P53/Tv+IdtEt8LBZRea5q1Zz/Rmn8/ED93H9GRN47dvvXB169aBrqqNw1Kl1KIeScih0tMzzaeZBp9ahvPX1Wl7/Yg1enjZ6tI9wY7B/XvX91L1tKIeSc3lw2kqe/XQtF47rhE8zD3q2CyMnv5iDyTXHqli68TCPTl/Fs5+sJSuvmPPGuL9bSa2/pDrKrO1jQ0hIzanofiE2ITLEn027kvj8p82UlJUxqEeM22I9qmMoH9WRCIDl909h6Z13sfrxJ2h7+umE9ugOQJvTTmPre+/z67XXsvW99+n9n/+4OPDa1LYTqsZut5dx6MAerp38INff/l8WzP2alKTK8TtKS0vYunENfQZYvdKKi4v4de63nHrmxe4M/F9FKyCOH85tjMsATxHxAd4CzjfG9ALeBXxqWaaMytYwQs3/XgG2OhVWehljTqkegIjcICJrRWTttGnTjinoc8b35P2XLuT9ly4kNT2PSKfa44gwf9Iy8upZ+th5eNh48t7xLFiyiyW/7z36An9Dck4BUUGV3QyiAv1IzSmoliafqKDK7iWRgX6kVEuTW1TCuv1JDGtvtUxNzyusaHoe5u9DRn6hu7LA+cO78OmdZ/DpnWeQmlVAVLBTrM39SKnWbDMzr4hA32Z4OIbljQr2I9UpTcfoYB66YDj3frCQrEZqDl/rfsn9i/vlQOV+cfbT1njGdXHvYGRgtVooTc+q+FyakY1ncM3BkIoOHiHpw5nETL4CjwD/P7Vs4JA+5K7b6oboKyXn5BMVWPl9RwXUtk8KiAqs3G+RgX6k5BbQJzaCUR1i+eH6iTxzxnAGtY7iidOHVSyzcNchALYlpmOMIdi3cceBMHbXvJRqII1epoC/Vq4oF968OalZlce61KxsQoNqHuv2HUnktW+/479XXk6Qf+Xx6NRBA/nfbZP5v5uuJ9DXj5hwq3XWL+v+YERPq95lVK+exB089Kfi+rNy8ooJ8m9W8TnQrxk5+cW1pu3eLpyt+1IqPreNCSYzp4j8olLsxhC3P42Wke7tMlKfzNwiQgIrj8XBAd5k5VbNy9AeLdiw27rTXt5dIyrUj/axQfTqEM4T1w7lmgnd6dIqmKtO6wZATn6J1U0NWL75CG1auH9wwNyCYgKr7Ze8gtr3S+c2YcTFV7YeyM0vJje/uGLgz10H0okMsc5zeU6tHvycWkO4U0FqGj7hla0GfMLDanSXKExLxTfCKU1YeEWaIsff4qwsEletIriTdSOm5bgTSFxp3cg4snw5wZ07uTUfAM2Dw8jMqPyuszLSaR5ctctS85Awuvboh7e3DwEBQbTv1J2EQ/EV83dsWU/L1u0JDAoGIC0lkfS0JF568m6eevAmsjLSeOWpe8nOcs9YcseiqXfB0AqI41t5wSBVRAKA849hmZ+Bm0TEE0BEQoE4IEJEhjmmeYlIj+oLGmOmGWMGGmMG3nDDDccU4Hc/beHau7/i2ru/YunqfZw6tgsA3TtHkZdf7LLuF/ffegL7D2fw1Y8bXbK++mxLSKN1SCAxzf3xtNk4uXsbluyq2u1gyc7DTOhlDZbZMyaM3KIS0vIKCfbzJsDbOvF4e3owuF0L4h0D8i3ZdYgzercH4Ize7Vm8032Fnm9WxHH5K7O5/JXZLN56gNMHWncTerYOJ7ewpEr3i3LrdicyrncbACYM7MDirVZT16hgf56/aiyPzljGgdSaY3c0lBr7pVst+2XXYSb0rGW/+FbbL21bEJ9u7ZdWIZWFudGdWlbsL3fyadeSkqRUSlLSMaWlZK/eiH/fblXSlKRlkvDWp7S47kKatYg4pmWLk5wKSBu30yzavXfKtiWmV90nXVuzZE/V3/WSPYeZ0KMtAD2jK/fJm0s3csY7P3DWuz/y4OwVrDmQxCNzrYLOot2HGNTaGpCzdUggXjYbmQWNOw6EjgGhjgMNWqaAv1auKNe5ZSwJaWkkpqdTUlrKko2bGNq9a5U0yZmZPPXpZ9xz0fm0jKjaJS8zN7cizYqtWxnTpw8AYUFBbN5rNaXfuGcvseFVu425WkJqDiFBvjQP8MZmE7q3j2DXwZpdyry9PGjdIohdByrnZecWERsRiKdjgMO2McGkZTXsuA/O9ifmEBnsS1iQDx42YUDXSDZXe9pZRk4hXVpbYwsE+nkRFepHamYhs5bt4+F3V/LI+6uYPmcbcQcz+WieNaaHcwVNn47hJKS65uZVfRLTcgkO9CHI39ovnduEsedwzQvSZl4etIwMYo/TwOf5hSXk5BcREmj9S7Vu0bxiv+w9lEF3RyuV7u0j2OumAdOdZe3ahX9MNL5RkYinJ7GjRpH0++oqaZJWr6blCScAENylM6X5eRRlZODh7Y2Hr9Xl1sPbm/C+/cg5YI0HVpieTlhP6yloYb17k5dQ9Skh7tCqbUdSk4+QlppEaWkJ69cuo0efgVXS9OwzmL27tlNWVkZxcREH9u0iskVlI6z1a5ZV6X4RHduGx1/8gIefmcrDz0yleUgYdz78fwQ1d//4HHWx2cRlr8agY0Acx4wxmSLyLtajtuKBYxma/z2gM7BJREqAd40xb4jI+cDrItIc63fzKuDS26Or1u1nWP/WzHjrMsdjOH+rmPfCQxN4/q2FpGXkc97pvbjknH6EBvvxwSsXseqP/bzw1iJCg32Z9n8X4O/bDLsxnH9Gb668bQYd2oQxfmwX9sSn8f5LFwLw7merWPWHe0YVLjOGF35ey+sXn4CHTZi1cS97U7M4t19HAGau383yPQmM6BjDdzdPpLCkjCdmrwIg3N+XxyYOtQ4KIvyy/QDLdlsH7I9WbuPZc0ZyZp8OJGXnMWXmMrfEX93y7YcZ3jWWmVPOobCklCe/XFEx75Vrx/H01ytJzS7gf3P+4OnLR3PT+L7sPJzOrN+tPnfXndyb5n7e3H/uEOv7sdu56rW5ADx52SgGdIgi2N+HHx8+j3d/3sis1bvdko8yY3hhgWO/iDBrUx37pUMM393k2C9zHPslwJfHzqh9v0we24c2YUHYjSExK59nf1pdZwyuIh4eRFx2JodemQ52Q9DIgXjHRpG56HcAgscOIe3HXynLzSf50x+shWw22jwyuc5lAVK/+YnixFSwCV5hwURecbZb81FmDC/8upbXzxtr/a9s3svetGzO7ePYJxt3s3xvAiPaRfPddWdY++Sn34+63lmb9/LI+CF8Mek0SsrsPDbv6Mu4ndYeqCauqZUpPDw8uPnMiTw8/UPsdsMpA/vTJiqKOaus48GEoUP4/JffyMnL563vZwFgs9l4/T+3AvD0p5+TnZ+Pp82DW846s2KwytvOO5t3fpxDWZkdLy9P/nPO2a4MuwZj4OdVe7n4lB7YBDbuSiY1s4B+XVoAsD7OekRl5zZh7DucSUlpZVOphNRcdsSncu2ZfaxzVFpeZfrWoZwytD1+Pl5cdHI3ktLz+OLnmo+mdiW7MXy1cBe3ntcbmwgrtxzhSFo+I3tb3Q+WbUpg3qr9XHFqVx68ciCC8P3SveQdpRXAOaPaExsZAAbSsguZ8ctOt+YDrP2ycG0855zQFRFh695k0rMK6NXRGrRw8+5kADq2DGV/Yial1QZIX7Q2nvHDrceRZucW8fMqa7DvtdsSOH1kJ3p0iCAnr5g5yxogL3Y7W9+ZxpDHHkNsNg7+8iu5Bw/SerzVJenATz+RvHYdkQMGcsI7UykrKmLj6/8DwDs4mIEPPgBYZZPDi5eQ8sd6ADa98SY9rr8Om4cHZcUlbH7zLbfnxcPDg3Mvvo5prz2JsdsZPGIcLWJas2LxfACGjzmVqOiWdO3Rl5eevAsRYciIk4iOtQZOLy4uYuf2jZx/uXvHdvm7mvoYEFJbHzmlXMCMPtf9B5qGsGTmLQx65vPGDsMl1jx4KYPv+bixw3CJ1S9eyaBnj5P98sClTFw28+gJm4AfR57LoBdnNHYYLrHmnktcdoofMfNbl5xsl597XhMvdij1l5k9333T2DG4RIdzzueZD5Y3dhgu8eDVI7j15UWNHYZLvHnXWF79fFVjh/G33XHpUGafedbREzYBZ8z6gdmLtjR2GC5xxtieLjt/z1+2zWUX8KeO7N7g5QptAaGUUkq5mdb1K6WUUsoVGmvsBlfRCgillFLK3bQCQimllFIuUNuTA5sSHYRSKaWUUkoppZRSbqctIJRSSik30y4YSimllHKFRnp4hctoBYRSSinlbloBoZRSSikXaKzHZ7qKdsFQSimllFJKKaWU22kLCKWUUsrNtAuGUkoppVyhqQ9CqRUQSimllLvZGzsApZRSSh0P9DGcSimllKqftoBQSimllAs08foHHQNCKaWUUkoppZRS7qctIJRSSik3MzoIhFJKKaVcoKk/BUMrIJRSSil30/oHpZRSSrlAUx8DQrtgKKWUUkoppZRSyu20BYRSSinlbtoCQimllFIuoI/hVEoppVS9dAgIpZRSSrlCEx8CQrtgKKWUUscTERkvInEisltEptQyv6uIrBSRIhG5pzFiVEoppdS/k7aAUEoppdytgVpAiIgH8CZwMnAIWCMis4wx25ySpQO3AWc3TFRKKaWUchXtgqGUUkqp+jVcF4zBwG5jzF4AEfkCOAuoqIAwxiQDySIyocGiUkoppZRLNPXHcIo+m1y5if6wlFJNncvO8IM/+Nolx8Q111x4I3CD06Rpxphp5R9E5HxgvDHmOsfnK4AhxpjJ1dclIo8BucaYF10Rm1JupuUKpVRT5rIyxYat+112POzbo02D12ZoCwjlNqcunNnYIbjE/BPOZWXqpsYOwyWGhfdm0AszGjsMl1hz3yUMvvvjxg7DJVa/dCWDXjxO9ss9lzDkto8aOwyX+P31qxo7hBoclQ3T6klSW0FCL9zUceGniy9q7BBcYvwXX/LV0JGNHYZLXLhqGV/MW9/YYbjExaf1447XFzV2GH/bq7eN5ceFWxo7DJeYeEJP3p25prHDcInrzx3U2CH8JSIyHngN8ADeM8Y8V0uascCrgBeQaowZU986tQJCKaWUcjd7g23pENDK6XNLIKHBtq6UUkopt2qoISCOZVwpEQkG3sJqfXlARCKPtl6tgFBKKaXcreHaIKwBOolIO+AwcDFwaYNtXSmllFJu1YBjQBx1XCmsMsZMY8wBqBhnql76GE6llFLqOGGMKQUmA/OB7cBXxpitInKTiNwEICItROQQcBfwsIgcEpGgxotaKaWUUo1BRG4QkbVOL+dxpmKBg06fDzmmOesMhIjIIhFZJyJXHm2b2gJCKaWUcrOGHO/ZGDMXmFtt2lSn94lYXTOUUkop1cTYXNgH4yhjSx3LuFKewADgRMAXWCkiq4wxO+vaplZAKKWUUu6mw0AqpZRSygWkoQaBOLZxpQ5hDTyZB+SJyBKgD1BnBYR2wVBKKaWUUkoppZSzinGlRKQZ1rhSs6ql+QEYJSKeIuIHDMHqAlonbQGhlFJKuVtD9sFQSiml1HHLlV0w6mOMKRWR8nGlPIDp5eNKOeZPNcZsF5GfgE1Yz/x6zxhT73NgtQJCKaWUcjetf1BKKaWUCzTgUzCOOq6U4/P/Af93rOvUCgillFLK3bQCQimllFIu0HBDQLiHjgGhlFJKKaWUUkopt9MWEEoppZS7aQsIpZRSSrlAQ40B4S5aAaGUUkq5m11rIJRSSin190kDjgHhDtoFQymllFJKKaWUUm6nLSCUUkopd9MGEEoppZRyAe2CoZRSSqn6aQWEUkoppVygqVdAaBcMpZRSSimllFJKuZ22gFBKKaXcTVtAKKWUUsoFpIm3gDiuKyBEJNcYE+DidT4G5BpjXnTlehuSiEwCfjbGJDg+vwe8bIzZ1phx5W+NI/2r2WC3EzBiEMHjx1aZX5yYTNpH31B0MIGQM0+h+SmjK+Zl/bKM3OVrQIRmMVGEXXU+Ni8vig8dIe2z77AXFeMZFkLENRdh8/Vxe142rVrP569+gN1uZ/TEEznjinOqzP9j6RpmvvsFIoKHhweX3j6Jzn26AZCXk8cHz73Nob0HERGuffBmOvbswhdvfMyG5evw9PIkMjaKax+8Ff9Af7fnZVi7aO4+sT82EX7YtIePft9eI83dJ/ZnRPsYCkvKeHzeKuKSMirm2UT4+MpTSc7N565vlwBwYpdW3DCiF23Dgpj0yc9sT0x3ez4qYj17EMO7xVJYXMYTXywn7nDNbceEBvDU5aMI8vMm7nA6j36+jNIyO6f2b8eVJ/QEoKC4hOe/+Z1dRzJo5mnjnVvH08zThofNxq+b9vPu/I1uzcewttHcPc6xXzbv4aPVteyXcf0Z0S6GwlLHfkmutl8ud+yX76z9cv3wnpzdqwOZBUUAvLl0Iyv2HXFrPgDuOm8ww7vHUlhcypOfLSfuUM19Eh0awFOTRtPcz5sdh9J47BNrn4zu1YobTu+LMVBmt/PKzDVs3JtM68ggnp40pmL52PAAps3dwBeLan5PDcJoDcTxQMsVtfunlivC+/Sh21WTwGbj0G+/sW/WDzXSdLtqEuH9+mEvKmLz22+THb8P/+ho+tx+R0Uav8hIdn39NfvnzSWwTRt6XHc9Ni8vTFkZ26a/T9aePW7NR4uhQ+h75+2Izca+WbPZ8cmnNdL0u+t2WgwbRllRIauffIbMuJ31Ltty3An0uO4agtq24ZdrridjR5xb81Bu1/YNzJv5EcbY6T90HKNOOqvK/GW//cjmtcsAsNvLSEk6zH1PvYuff0Cdy27dsIqFP31DatJhrr/zKWJbd2iQvHRtE8q5ozsiIqzaeoRf1x2oMt+nmQeXn9qNkAAfbDZh4R8HWb09EU8PG/85ry+eHjZsNmHj7hR++j0egDNHtKdHu3DK7HZSswqYsSCOguJSt+dlx9b1/PDVdOx2O0NGnMi48efWSLM7bguzvv6AsrJS/AOCuOXuJ0lOPMyn771ckSYtNYlTJ17M6BPPAGDZwrksXzQPm81Gt54DOOO8K92el31xG/lt9icYu51eg8YyZOyZVeavXjKb7RtWAGC320lPPswtD7+Nl1czvpj2FGWlpdjtZXTuOZgRJ59XZdk1S+aweN4Mbnn4bfz8A92el7rYmvhTMI7rCoh/AxHxNMb82SPTJGALkABgjLnO1XH9WcZuJ33GLKJuvxbPkCASnn0Tv97daBYTVZHGw8+P0Ismkr+hanmmNCOLnIUriHn0TmzNvEie9jl5azYROHwAqZ98S+h5p+PTuT05y9eStWAJIWee4ta82MvK+OSl97n31f8SGhnK49c9QL+RA4lt16oiTfcBPek38kVEhIO79/Pmf1/muRmvAfD5qx/Qa0g/Jj99D6UlJRQVFgPQc1AfLrjpMjw8PfjqrU+Z88l3XHjL5W7Ni02E+04awOSvFpKUU8BHV57Ckt2H2ZeWXZFmePtoWocEcu67s+kZHcaUkwdy9acLKuZfPKAz+9Ky8Pf2qpi2JyWL+75fygOnDHJr/NUN7xpLq/Agznv2e3q2Duf+84ZwzevzaqSbPKE/M5ZsZ8GGeKacN4SzBnfk25U7SUjP5aa35pNTUMywrjE8cMFQrnl9HsWldm55+2cKikvxsAnvTh7Pyu2H2XIg1S35qNgvXzv2y+WnsGRPtf3SzrFf3nfaL5857Zf+ndmXnoV/M68q656xLo5P1+5wS9y1Gd49llYRgZz/5Hf0bBvOfRcO5dqX59ZIN/msAXyxaBsL/ojn/guHcuawTsxcFseauCMs2XwQgI4xITx99Rguevp7DiRnc8ULPwLW9zX7yQtYtPFAjfU2GK1/UE3E8VKuQITu11zDmqefpjAtjWHPPEvyurXkHT5ckSS8b1/8oluw9I7bad6xE92vu5ZVDz9M3pEjrJhyf8V6Tnh7KklrVgPQ5bLL2P3tN6Ru2EB43750uewyVj/xhPuyYbPR/567WHzbnRQkJ3PSB++RsHQZ2fHxFWlaDBtKQKtWzLvgYkJ79GDAfffw67U31Lts1t69rJjyIAOm3Oe22Kuz2+3M+WY6V978EEHBYUx7+UG69BxAZIuWFWlGjpvIyHETAYjbso6Vi+fi5x9Q77KRLVpx8dV38eNX7zZYXkTg/LGdePu7jWTmFnHXRQPYsi+VpPT8yrz0jiUpLZ/3ftyCv68XD14xmHVxSZSW2Xnzu40Ul5Rhswm3n9+P7fvT2Z+YTdzBDGav2IfdGCYOb89JA1vz44q9bs2L3V7GdzPe5YbbH6F5SBivPXs/3XsPokVMZbm1ID+PmTPe5frbHiYkNIKc7CwAIlvEctfDL1Ws58kpN9Cz72AAdsdtZuvG1dz98Mt4enlVLOPevNj5ZdZHXHDtFAKDQvn0zUfo0G0A4VGxFWkGjz6DwaOtCpI92/9g7bKf8PULwBjDhdc9SDNvH8rKSpkx9UnadelDTOuOAGRnprF/9xYCg8Pcno+j0TEgmhgRmSgiv4vIehH5RUSiHNMfE5HpIrJIRPaKyG1OyzwkInEi8gvQpY71figi5zt9znX8jRaRJSKyQUS2iMgox/RTRGSliPwhIl+LSI07Ko5YXhWRFY5lBzvFOk1EfgY+FpG2IrLUsa4/RGS40zruE5HNIrJRRJ5zxDgQ+MwRk69jOwMd6cc71rFRRH51TPN3fDdrHN/bWdVj/buK4g/iGRmGV0Qo4umJ/6A+5G+qeqfSIygA77atwMOjxvLGbseUlGDKyjAlxXgGW7WSJUmpeHdqB4Bvt47k/7HV1aHXsHf7bqJatiAyNgpPLy+GnDiC9UvXVknj4+db0XyqqLCw4n1BXj5xG7cxeuI4ADy9vCpaOfQc0gcPTyvvHXp0Ij05ze156REdysHMXA5n5VFqt7Ng+wHGdGxZJc2Yji2ZszUegC1H0gj0aUaYv9XKJDLAl5EdYvhhU9WTZ3x6NvvTc9wef3Wje7Zi7jrrTtWWA6kE+jYjLNC3RrqBnVrw26b9AMxZu4cxvVoDsDk+hZwCq0Joy/5UIoMrW6CU36Hw9LDh6WFz6/VmjxahHMxw2i87DjCmw1H2i3e1/dK+5n5pDKN7tWLeaiuOLfGOfRJUxz7Z4Ngnq/cwppdVMHK+M+TTzBNTS0uDQV2iOZSaQ2JGnjuyoP7ltFzxzyxXBHfsSH5iEgXJyZiyMhJXrCBqYNVK76iBg0hYYrUAy9q9Cy8/f7yDg6ukCevVi/ykJApTHRXKBjx9rWOUl58fhRkZuFNo927kHjpEXkIC9tJSDiz4hZjRI6ukiR09ivi5PwGQvnUrXgEB+ISF1btsTvx+cg4cdGvs1R3ev5vQ8BaEhkfh6elJz37D2bF5bZ3pN/+xnJ79hx912YgWsYRHxTRIHsq1iQoiNbOAtOxCyuyG9buS6dU+vEY672ZWuc3by4P8wlLsduscVVxSBoCHTay72Y5zV9yBDOyO9/GJ2TQP8HZ7Xg7E7yYssgVhES3w9PSi76CRbN20pkqaP1YvpVe/IYSERgAQGNS8xnp27dhMWHgUoWGRAKxYPJ8TTj0HTy+vOpdxtcSDewgJiyI4NBIPT0+69hnKnu3r6ky/feNKuvUZBljdGpp5W+Uke1kZdnspzpf5C+d8yujTLkZo2hf//wT/xhYQy4ChxhgjItcB9wF3O+Z1BU4AAoE4EXkb6A1cDPTD+r7+AOr+Jdd0KTDfGPO0iHgAfiISDjwMnGSMyROR+4G7gNqq0P2NMcNFZDQwHejpmD4AGGmMKRARP+BkY0yhiHQCZgADReQ04GxgiDEmX0RCjTHpIjIZuMcYsxYq+xGJSATwLjDaGLNPREId23oI+M0Yc42IBAOrReQXY4zLSvNlGdl4hlQemDyDgyjad2wnRs+Q5jQ/aRSH/p+9u45v6nofOP45Sd3dW6y4W4GiQyZsg425MLaxMWPC3N1+cxemzJgBQ8bGNtzdXQt1d01yfn8ktE1bZF8SStnzfr3yosl97s053Jvk3HOfc+7j/4dydcWzfTyeHdoA4BYVTtnmnXh160DJhq2Y8vIdVeRjysvKJSispnc0MCyIA9v31otbv3g1v3zyA0V5BUx64zEAMlMy8A3w4/OXPuTIviSat23JdffdhHudYSNLfl9In2GJ9bbpaKE+XmQU1fTmZxSV0inKvuc31NeTjMKaQyGzqJQwXy9ySsq5f1gP3lu0Ca86V9kbS5i/Fxn5NfXJLCglzN+LnKKy6tf8vd0pKqvEbGskZBSUEtrACfGoPvGs3FVzJc2gFN9MupCYEF9+Xb6b7U7KfgAI9a2zX4pL6RRZZ7/4eJJRVGe/+Nj2y9AevLek4f1yRffWjOzYgp3pubyzaANFFVVOqwdAqL8XGfm1yplfSqi/FzmFx94nmfklhPp7VS8f3CWOOy/uQaCPB/d/Or/ee4zo0Zy/1h90Yi1OgmRAnM2kXXEGtivcg4Ioy6npqC/PzcE/Pr5OTGC9GPegICry86tfi+yXSNqK5dXPd06ZQq/HH6ft9dejlIFVTz/lqCI3yDM0lNLMzOrnZZlZBHXsUCcmhDK7mEw8Q0NOat3TqbAgF//Amt8q/4AgkpP2NRhbWVnBvl2bGXnZzf963dPB38edvOKK6uf5xRU0C/ezi1m6OYVbLu7Ec+P74eHqwpQ/t1f/FCgFD17dixB/T5ZtSSEpo/5FmT4dI9i4J8uZ1QCgIC+XgMCazpOAgCCSDtq3W7MzUzGbzXz05tNUVJQxcOiF9Oo7xC5m07rldOs9oNY6aRzct5M/Zk7F1dWViy4bR1xz+8+goxUV5uHrH1T93McviLQjDQ+Rqqqs4NCeLQwbNa76NYvFwrcfPEl+Tgbd+o4g0pb9sG/Henz9AgmLbObU8p+sJp4A8d/LgABigHlKqa3AQ0DHWst+11pXaK2zgUwgHBgIzNBal2qtC4FZ//L91gI3KesYz85a6yKgL9ABWK6U2gSMA451RE8F0FovAfxsP9QAs7TWR1vorsBntjr9Yts2wHDgK611qW0bJxpo3xdYorU+WCf+XOBRW1kXAR5AXN2VlVITlFLrlFLrJk+efIK3Ogkn+ekyl5RRumUHMS8+ROz/PYalsori1RsBCL7hMgoXryT15ffR5RUol/rZE47W4FDvBurSc3AfXp36Lve8+jDTP/sJAIvZQtKegwy99Dye//p13D3dmfPtb3brzZoyDaPRQL9zBzqh9Ccsdr36NbSXtNYMaBVFXmkFuzKce3XoVOk6Z4YN1qfO856twhmVEM8HczZUv2bRmuvfmsNFz/9Kh7gQWkYEOLysxy1j3f3S0L5DM6DlsffLtE37uPTzOVw35Q+yS8q4b0gPxxT4OFSDn/M6+6TButRYvOUwV730Gw9/vpDbLuxmF+diNDCwUywLNh061aKeGu2ghzgTSbvi2BqxXXGCL45jxtQEKaORsJ49SV+1qvq1uBEj2PXNFBbfdRe7vplCp9tu/5fl+pdO4jvymF+SJ7NuYztGW2/PtvXEtmiLl/dxplw5w87C6rYn2jULIiWrmGe+WMnrU9dx2eDW1RkRWsPrU9fx7JcriYvwJSLIfk6vEb3isFg063dnnJaS11X3t9lsNpN8eD/jJz7OhHue4p/ffyErI7V6uclUxfbNa+nas+bimNlipqy0hHseeYWLxtzAt5+92WCWomM1VJeGI/fv2khUszZ4etUcYwaDgXH3vMxtj75HevJ+stKPUFVZwaqFs+g/4vKGN9QIDLbMGUc8GsN/MQPifawTI81SSg0Bnq21rKLW32Zq/n9O5tNiwtaho6yfWjew/sDbrjJcCHyrlHodyAP+1lpfcxLbrfveR5/XvkowCcgAutrKUG57XZ1k2Y86VrwCLtNaH3eGIq31ZOBoC0FPWzj9pN/YGOiHKa9mbJgpvxBjgN9x1qhRvmsfLsFBGH2tXyDe3TtSsT8Jnz7dcYsII+Le8QBUZWRRutX5kywFhQXZDY/Iy8wlMCTomPFtu3UgMyWdovxCAsOCCAwNplXH1gD0GtKP37+bUR27bO4iNi9fz8PvPXNaZsDNLCol3LfmSnO4rxfZxWV1YsoI9/OGFOsV/zBfL7KKyxjWNo6B8dEktozE3WjE292V5y/sx9O/r3R6uWu7vH9bLulj/f/ccSSH8ICa+oT5e5FVYF+f/JIKfD3dMBoUZosm3N+L7FpX4+MjA3jiykTu++wfCkorqKu4vIoN+9Pp1y6KA+n5TqlTvf3ic4z94usN1NkvbeIY2CqaxBaRuLsY8XZz5fmR/Xh67kpyS8ur1/9ty37eHjMIZ7h8YFtG97NmKe04nE14raEsYQEN7JNi+30SFuBNdkEpdW3an0FMiC/+3u4UlFj3TWKHaHYn55JbVF4vXggHkXbFsTm0XfHngvoZTsdSkZuDZ3DNFXOPoGAq6gyXqMjNxTM4mPxjxIR2607hoYNUFtS0T6IGD2bnlK8BSF+1ik4TbjvpMv0vyjIz8QoLq37uGRZKWVZ2nZgsPO1iwijLzsbg6nLCdU8nP/8gCvJq2kcF+bn4+gU2GLt140o696g5mf03654OBcUVBNYaHhHg405hSaVdTEL7iOqJKbMLrMM1wgO9OFwr26Gs0sS+5HzaNwsiPdf6EezdLpyOLYL5cIZzJ7M+yj8wmPy8muMiPz8XvwD7dmtAYDDePn64u3vg7u5By9YdSE0+RKht6MuubRuJiWuJr19AzToBwXTq1gelFHEtWmNQipLiQnx8nTcUw9cviKKCmn7R4sJcfI5xnOyqNfyiLg9Pb2JbtOfQni00b9OFgrwsprz7OABFhbl8+/6TXH/Xc3j7Bji8Dv8F/8UMCH/gaN70uOMF2iwBLrWNafQFLj5G3CGs6YsAo7FePUAp1QzI1Fp/BnwB9ABWAf2VUvG2GC+lVJtjbPcqW8wAoEBr3dAMLv5AmtbaAowFjl7m/wu42ZZKSa3UxyKs6aB1rQQGK6Va1ImfB9xtawChlOp+jLL+z9ybxWDKzKYqOxdtMlGydjNeXdqf1LouQf5UHDyMpbISrTVlu/bhGmn9wTUXFgPWOSLy5y7Ed1AfRxe9nhbt4slITiMrNQNTVRWr5y+n+4BedjEZyWnVvcCHdh/AVGXCx9+XgOBAgsOCSUuyHqI71m8lqrl1bP+WVRuZ+/1v3Pt/j+Du4fwxgQA70nKJC/Qlyt8bF4OBEe3jWLIv2S5myb4ULuzYHIBOkcEUV1SRU1LOh0s2c9HHMxn96Wwen72CtYczTnvnA8Cvy3dz/VtzuP6tOSzedpiRPa2zY3eKC6G4vMpu+MVR6/elM7SL9eLhhb1asXibdThQeIA3/3fjEJ6ZuozD2TUNiABvd3w8rMMZ3F2MJLSOJCnDeZMt7Uivs1/axbFkf539sv8Y+2XpZi76dCajP5vN43Ns+2Wudb8cnSMCYEjrGPZnO6cOvy7dzdjXZjP2tdks2XKYCxJaWsvZ3LZPChvYJ3vTGdrNtk8SWlVPPBkTUvNV1jYmCBejsbrzAeDcHi0af/gFWC93OeIhzkTSrjgD2xUF+/fjFRGBZ2goymgkIjGRzPX28w1krl9H1CBrR6t/fGuqSkvth1/070/a8hV261Tk5RHUwZoQEtSpEyXp6Y4uup3cnbvwiY3FOzISg4sLcSOGk7p0uV1M6tJlNB95vrVMHTtSVVxMeU7OSa17OkXFtSI3O528nExMJhPbNq6gXaee9eLKy0pJ2r+Ddp16/et1T5fDGUWEBHgS5OeB0aDo3jqMbQfsO3fyi8ppE2s9+fXxdCUs0IucgnK8PV3xdLP2RboaDbSJDSQjz9qp3q5ZEMN6xfHZnG1UmSynpS6xzeLJzkwjJzsDk6mKTWuX0bGLfbu1Y9cEDu7bidlsprKygqRDe+0mD920bpnd8AuAjt0S2Ld7KwBZGamYbHfPcKaImJbkZaeTn5uJ2WRi1+ZVtGpfP5uzoryU5IO7aNWhZllpcSHlZdZOoKqqSpL2byMoNIrQiFjuevIjJjzyDhMeeQdfvyDG3v1io3Y+GJRy2KMxnO0ZEF5Kqdqt8rewXpn4RSmVgvUHu8XxNqC13qCU+gnYBCQBS48R+hkwUym1BphPzZWEIcBDSqkqoBi4QWudpay3rJqqlDp6JvkksKeB7eYppVYAfsDNx3jvj4BpSqkrgIVH31tr/adSqhuwTilVCcwFHge+Bj5RSpUB1V1/tnJNAKYrpQxY00VHAC8A7wBbbI2FQ8BFxyjL/0QZjQRdNYqM974Ei8YnsRduUeEULlkNgN+gPpgKikh75QMs5RWgFIULlhP9zCTcW8Th1aMTqS99gDIacIuNxHeAdQbekrWbKVxsPbny6t4Jn0Tn/1gZXYxcP2k8b9z/EhazhYEXnUN0y1gWzPgLgKGXnsu6RatZ/sdijC5G3NzduPP5SdUZDddNuplPn3sPk8lEaFQ4tzx+JwDfvfUFpioTr9/3AgCtOrbhxocnOLUuZq157Z91vHfFEIxKMWvrAQ7kFDKmm3VM3PRN+1h+IJX+LSOZcetFlJvMPP/H6hNud0jrGB4c3pNAT3fevmwwezLzuOeXRU6tC8DynSkkto9m+mOXUl5l4oUfaxqWb98ylJd+Xkl2YRnvz9nAS2MHcfsF3diTksus1daxkLec2wV/L3ceGWPtyDJbLIx7Zy4hfp48c80A25c5/LM5iWU7UxosgyOYtea1+et477IhGA219ktX237ZbNsvLSKZcctFlFeZef7PE++XewZ1o01YIBpIKyjm5b/XnnCdU7V8RwqJHWOY9vSY6ttwHvX2bcN4aeoKsgvL+GDWel68cTC3XdidPcm5zFpl3SfndGvGyN6tMJktVFSZePLrxdXru7saSWgXySs/nf6Or3pOTztSOJ+0K5pIu0JbLOz46kt6Pf44ymAgeeEiipOTiR0+HIAj//xD1saNhHTrzqB338VcUcnWTz6uXt/g5kZw585s/8x+6Me2yZ/SftyNKKMRS1VlveWOps1mNrzxFoPefct6K805v1N48CCtLrXO27l/xkzSVqwkMrEfI3/9CVN5OWtffPm46wJEDx5E9wfuwz0ggIFvvU7+nr0sue+BY5bDEYxGIyMvu4lvP3kZi8VC9z7nEBYZy9rl1js09e4/AoCdW9bQqm2X6gkBj7fu0fi5076mpLiQ7ye/RkR0M26443Gn1sWiNdMW7eX20V0wGBSrt6eRnltKYidrRsCKbanMW5vEtSPa8fC1vVBKMXv5AUrKq4gM9ua6c9thUAqlFJv2ZrLjkDW747LBrXExKu68pCtgnYjyl4UNfYwdx2g0culVt/DZey+gLRZ6Jw4lIiqOFUvmAZA46DzCI2No27Ebb75wP8qg6NN/OJHR1lFTlZUV7Nm5mcuus88GSkgcys/ffMTrz9+Hi9GFq8fd7fTsXYPRyLBR45j25WtYtIXOvQYTEh7DptXW7KlufYYBsHf7Opq17oybW80xVlKUzx+/fIpFW9Ba07ZzH1q1d3jfqEOcjixoZ1LOH4sj/ldKqUXUmtSpidHn/YshGGeyeeeMYWX2lsYuhkP0C+lC79emNnYxHGLtw9eQ8MA3jV0Mh1jz5g30fuMs2S8PXkOfe6Y0djEcYvV74xz2C9/7takO+bFd+/A1TbvVIRpVU29X/Hn1VY1dBoc4/8ef+LnvgBMHNgFXrlrGj39sbOxiOMTVF3TnvvcWNXYxTtk79wxh9sJtjV0Mh7j4nE58Nt35F0NOh1vH9HbY73dOdr7DTuCDQwJOe7vibM+AEEIIIRqf9PULIYQQwgEaa/JIR5EOiDOY1npIY5dBCCGEA0gHhDgDSLtCCCGavqY+BEM6IIQQQghnk+GOQgghhHCAxpo80lH+i3fBEEIIIYQQQgghxGkmGRBCCCGEs0kChBBCCCEcoIknQEgHhBBCCOF00gEhhBBCCAdo6nNAyBAMIYQQQgghhBBCOJ1kQAghhBDOJhkQQgghhHCApj4JpXRACCGEEM4md8EQQgghhAM08f4HGYIhhBBCCCGEEEII55MMCCGEEMLZLI1dACGEEEKcDZp6BoR0QAghhBDOJiMwhBBCCOEAiqbdAyEdEEIIIYSTKemAEEIIIYQDNPUMCJkDQgghhBBCCCGEEE4nGRBCCCGEs8ldMIQQQgghJANCCCGEcDrtoMdJUEqdr5TarZTap5R6tIHlSin1nm35FqVUj1OsnRBCCCFOE+XAR2OQDgghhBDiLKGUMgIfAhcAHYBrlFId6oRdALS2PSYAH5/WQgohhBDiP0s6IIQQQghnO30ZEAnAPq31Aa11JfAjMLpOzGjgG221CghQSkWeSvWEEEIIIU6G0jIuVTiHHFhCiKbOYdmJCU9865DvxLUv33Ab1qyFoyZrrScffaKUuhw4X2t9i+35WKCP1npirZg5wKta62W25/OBR7TW6xxRRiGcRNoVQoimzGFtiqrSEod9H7p6eZ/2kRgyCaVwmoTHvm3sIjjEmlfG0u+WLxu7GA6x8vOb6T/288YuhkMs//YWEr74pbGL4RBrxl9Bn0lTGrsYDrH67XH0/WlaYxfDIVZddVljF6EeW2fD5OOENNSQqNtQOZkYIc44Ax6c39hFcIhlbwwjJTW7sYvhENFRIZRlpDd2MRzCMzyCzHVrGrsYpyysVwIvfLGssYvhEE+NH8DWjz5o7GI4ROc7J5446D9COiCEEEIIZzt9p/fJQGyt5zFA6v8QI4QQQgjhcDIHhBBCCOFsp28OiLVAa6VUC6WUG3A1MKtOzCzgBtvdMPoCBVrrtFOpnhBCCCFOE60d92gEkgEhhBBCOJvl9LyN1tqklJoIzAOMwJda6+1Kqdttyz8B5gIjgX1AKXDT6SmdEEIIIU5ZEx80KR0QQgghxFlEaz0XaydD7dc+qfW3Bu463eUSQgghhJAOCCGEEMLZ5I5TQgghhHCIpt2mkA4IIYQQwtmadltBCCGEEGeKJn5RQyahFEIIIYQQQgghhNNJBoQQQgjhbE37YoUQQgghzhSW0zSztZNIB4QQQgjhbNIBIYQQQggH0DIEQwghhBBCCCGEEOL4JANCCCGEcDLVxK9WCCGEEOIM0cTbFNIBIYQQQjhb024rCCGEEOIMobXMASGEEEKI45EOCCGEEEI4gLY07UaFzAEhhBBCCCGEEEIIp5MMCCGEEMLZmna2pBBCCCHOFDIEQwghhBDH1bSzJYUQQghxhpAhGEIIIYQQQgghhBAnIBkQp5FSSgPfaa3H2p67AGnAaq31Rf/jNldorROVUs2BRK31D/9y/SjgPa315f/L+zvaAxf3JrFtFOWVZp7/dQW7U3PrxUQF+vDiNQPx83Rjd2ouz/y8HJPZctz1r+nfntG949Ea9mXk8cKvK6g0OTd9adI1fUjsHEt5pYkXvlzKnsM59WIiQ3x4YcI5+Hm7sftwDs99vqS6Lt3bRnDfVX1wMRooKC7nztf/wM3FyMePjMTVxYjRoFi4/hCfz9ro1HoA3De2H/26xlBeYealyYvZk9RAXUJ9eO6uofh5u7PnUA7Pf7IIk9mCt6crT99xDuHB3rgYDPwwdwtzl+7FzdXIh09ciKurEReDgYVrD/LF9A1OrUff6HAe6Nsdg0Exc/cBvtmyu17MA327kRgbSbnJxPNL1rI7Jx+AqzrGc0nblijgt90H+XH73up1ruwQzxXt4zFrC8uPpPH+2q1OrcdR91+aQGL7aMqrTLwwdTm7k+t/XiKDfHjxhkH4e7mzKzmHZ79fhsls4bweLRg7rBMAZRUmXvt1FXtT86x1HdSe0X1bo5Ri5so9/Lhkp9Pq0DcinEndu2JQilkHDvLtrj12y5v5+vJkQk/aBgbwydbt/LDb+v8e5unJM316EezpgUXDb/sP8vPefQC82C+BOF9fAHzdXCmqrOKGv+Y7rQ4npYnfMkuceaRNcWJ92gZx7+g2GAyKOatT+W5hkt1yX08XHruyPVHBnlSaLLzy804Oppfg5mLggzt74OZisP7Wbsnky78OAhAf6cODl7XD091Iel4Zz32/ndIKs1PrsWbNKj744B0sZgsjL7yYa68da7d806YNPPXko0RERAIwcOBgbhh3MwDFxUW88fqrHDx4AKUUDz38OB07dqKwsJAXnn+K9PR0IiIiePqZF/D19XNqPQCWr17Na++9j8Vi4dILL+Tm669rMG7bzp3ccMed/N+zzzBiyJDq181mM9dOmEBYSCjv/9+rAPy1cCGffPU1B5OS+O7TT+jYrp3T6wGwevMW3v32WywWCxcNGcL1oy62W7503Xo+/3UaBqUwGo3cM/Y6urRty+HUNJ55/4PquNTMTMZffhlXXnB+9WtTf/+dj374kdmffESA7ffMmVpFB3Be35Yog2Lj7gxWbEm2W96vczSdWoUCYDAoQvy9ePP71ZRXmkjoGEX3tuEoYMPuDNZsTwVgWO/mtIkLwmzR5BWWM2vpHioqnftZAfCJjSNqwEAwKPJ27CBro33bMqB1G0J69ADAUlVF6uJFlOfkoIxGWl4yBmU0ogyKgv37yVy7BoDYc8/DPSAAAKObO+bKCvb9/JPT63IschcM8W+UAJ2UUp5a6zJgBJByKhvUWifa/mwOXAucdGNBKeWitU4FzoiGQmLbKGKDfbnsjZl0ig3hkUv6cPNHf9SLm3h+d6Yu28nfWw7x6CV9GN0rnmmr9xxz/VA/T65KbMdVb8+iwmTm5WsGMqJLc37fcMBpdenXOYbYMH+uePxXOrYM5eHrE7nl5dn14u66rDc//r2Nf9Ye5OHrE7l4YBtmLNqFj6cbD13Xj0nv/EVGbgmBvh4AVJrMTHzjD8oqTBiNik8fuYiV25LZfiDLeXXpGkNMuB9XPfgLHVuF8uBN/Znw7Kx6cXdclcBPf25j/qoDPHRjfy4a0pbf5u/ksuEdOJSSxyNv/UWArwdTX7ucv1bsp7LKzD2vzK2uy8dPXcyqzUfYvt85dTEoeDixBxP/XEJmSSlTRg1n6eFUDuYXVcckxkQQ6+fDZb/8QafQIB5J7MHNsxfQMtCPS9q25MaZ8zFZLLx73kCWH0njSGExPSNDGRQXxbUz/qLKYiHQw90p5a8rsX00saG+XP7yDDo1C+Hhy/sy/p259eImXtyTHxfv4O+Nh3jkir6M6tOa6St2k5pbzB0fzKOorJJ+7aJ59Mp+jH9nLi0jAhjdtzU3vf07JrOFd24bzvIdyRzJLmqgFKfGoODBnt24Z9EyMstK+WrEUJampnGosOa9CisreWvjZgZHR9mta9aa9zZvZXdePl4uLnx97lDWZGRwqLCIJ1euqY67p1tniiurHF72f036H4TjSZviOAwK7r+0LZMmbySzoILP7+3Nsh3ZHMooqY4ZO6w5e1OLeXzKVuJCvbh/TFvu+3QjlSYL936ykbJKM0aD4uOJPVm9K4fthwt55Mr2fDh7L5sO5HNh70iuHdKMz+c5rz1hNpt59903ef31dwgNDeOO228hMXEAzZu3sIvr3LkrL7/yer31P3j/HXon9OHZ516iqqqKiopyAKb+8C3de/Ti2mvH8sMP3zL1h++YcNudTqvH0bq88vY7fPLWm4SHhnLdhNsYPKA/rZo3rxf37ief0q9373rb+OHXX2nRrBklJaXVr8W3aMFbL77AC2+86dTy25XRYuGtr6fw9mOPEBoUxK1PPU3/Hj1oERNdHdOzU0cG9OyBUop9hw/zzHsf8P0brxEXFclXr7xUvZ0xE+9hUK9e1etl5OSwdut2woODT0tdlILzE1vx/Z/bKCyp5JZR3dhzOIfs/LLqmJVbU1i51fr10jo2iD6doiivNBEa6EX3tuF8MXMzZouFa8/rxL4jueQWlnMwNZ8F6w6htbUzYkDXWOavPeT0ykQNGszB2TMxFRfT6vIrKTx0kIq8vOqQyqJCDvw2A0tFBT5xcUQPOYf9035Fm80cnPkbFlMVGAy0unQMRYeTKMvI4Mhf86rXj0jsj6Wy0rn1OBEZgiH+pT+AC21/XwNMPbpAKRWklPpNKbVFKbVKKdXF9vqzSqkvlVKLlFIHlFL31Fqn2Pbnq8BApdQmpdQkpZSHUuorpdRWpdRGpdQ5tvgblVK/KKVmA38ppZorpbbVWjZdKfWnUmqvUuq1Wu8zXim1x1aGz5RSNV23DjKofSxzN1p/xLcdycbXw5VgX896cb1aRbBgm/Uqxu8b9jO4Q+wJ1zcaFO6u1qwBDzcXsovK6m3XoXXpFscfK61XY7cfyMLHy41g//p16dkukoXrDwEwd8VeBnWLA+DcPi1ZtCGJjFxrQymvqLx6nbIKEwAuRgMuRuX0C6sDejTjz2XWq87b92fhe6y6dIhi0RrrFaK5y/YyqEczwHre5eXhCoCnhwuFJRWYLZYG6mJw6jlax9AgkguLSS0qwWTR/HXgCIPiou1iBjWLYu4+67G1LSsXXzc3gj09aOHvx7bMHCrMZsxasyE9iyHNrOte1q4VU7bsospWp7zyCifWolZZO8Xyx1rb8Z6Uja+nG8F+DXxe4iNYsNn2eVmzn8GdrZ+XrYeyKCqrtK2fRZi/NwDNw/3ZlpRFRZUZs0WzcV8Gg7vEOaUOHYKCSC4qIbXEuk/+PpzMoDodDXkVFezMzcNkse/tzykvZ3dePgClJhOHCosI86xf/2GxMfx9OLne60KcJaRNcQzt4/xIzikjNbcck1nzz6YMBnQMsYtpHu7N+r3WzLHDWaVEBnoQ6OMGQJntSq2LUWE0qOrfp7hQLzYdyAdg7Z5cBncJc3TR7ezatZPoqBiioqJxdXVl6NBhrFi+9KTWLSkpYcuWzYwcab0y7+rqio+P9Wr68hVLOe+8CwA477wLWLZ8iXMqUMu2nTuJjY4mJioKV1dXzhs2lEXLltWLmzptOsMGDyYoMNDu9YzMTJauXMWYC+0TfFo2b07zOOf8Th3Lzv37iQ4PJyosDFcXF4b17cuy9evtYrw8PFBKAVBeUVH9d23rt20nKiyMiNCaY/P9b7/nzmuuajDeGaJCfckrLCe/qAKLRbP9QBZt447d+dGpVUj1ha8Qf09SMoswmS1oDYfTC2jbzLrugZT86jZqcmYRvl5uTq+LV1g4lQUFVBUWoi0WCvbtxa9FS7uY0vR0LBXWtlppRgau3j7Vyywm6wULZTCgDIYGLx74x8eTv3dP/QXipEkHxOn3I3C1UsoD6AKsrrXsOWCj1roL8DjwTa1l7YDzgATgGaWUa53tPgos1Vp301q/DdwFoLXujLVRMsX2ngD9gHFa66ENlK8bcBXQGbhKKRVrS6l8CuiL9QqLU3Lbwvy9yMivuTKRWVBKWJ0TKn8vd4rKKzHbev4yCkoJ9fM67vpZhWV8t3QHsx4Zw9zHLqe4vIrVe9OcUYVqoQFe1Z0HAFl5JYQGeNnXxced4rKaumTmlRIaaD0JjAv3x8/LnQ8fuoCvnhrFBf3iq9czKMWUp0cz961rWbMjlR0HnZf9ABAa6E1mrbpk5pYQGuRdvy6lFdV1ycotITTIWt9pf++geVQAM9+/lm9evox3vl1V/YNkUIqvX7yUOR9ez9ptKexwUvYDQKiXJxm1rphklpYS6m1/fIU1EBPm7cn+vAK6R4Ti7+6Gu9FI/9hIwm3rxvn70i08hC8vHsonI4fQPsS+weS0+tQ93vNLCfWvc4x5u1NU+xgrKKkXAzCqT2tW7rKepB9Iy6d7y3D8vNxxdzWS2CGa8ADveus4pA6enmSW1f7/LiO0gU6EE4n08qJNQADbcuyHoHQLDSG3vIIjxcXHWPM00g56CGFP2hTHEOrvQWZ+Ted9Vn4Fof72GWr7UosZ1NnagdA+1o/wQA/CbDEGBV9NSmD2swNZtzeXHYcLATiQXlzdkXFO1zDC/Z2b9ZadnUVYWE0nR0hoGFnZ9X8rd+zYxi3jx/HoIw9w8KC1czotLQX/gABe+7+XmHDrjbzx+iuUlVkvwOTl5hEcbK1HcHAI+bYOXWfKzM4molZdwkNDyczKtovJyMpi4dKlXDF6VL31X3//A+6743aU4fScmB9PVm4eYcFB1c9Dg4LIrnWV/agla9dx3YMP8/Drb/LohFvqLZ+/ahXDE/tVP1+2fgOhQYHEN2vmnII3wM/LjcKSmosnhaUV+Ho33FngYjTQKiaQnQetQ3Gz8kqJi/DH090FF6OB+NhA/Lzrfya6tQlnf3L9/x9Hc/H2pqq4JouyqrgYV+9jt2GC2neg6HCtoVlKEX/lVbS/6WaKjxyhLDPDLt4rMgpTaRmVBQUOL/u/oS0Whz0ag3RAnGZa6y1YUxuvAermSw8AvrXFLQCClVL+tmW/a60rtNbZQCYQfoK3qr2tXUAS0Ma27G+tdf3B4lbztdYFWutyYAfQDGsDZbHWOldrXQX80tCKSqkJSql1Sql1kydPPkHxTk7dq/sNdQbr47TKtQZfDzcGd4jlktdnMPKVX/F0deH8bi2OuY5DNFDQuqVUNFQZa5TRqGjbLJgH3v2b+96ex00XdSU23Do206I1456fyeiHfqJDi1BaRgU4uPB1ytlgMXWdmAbqawtJ6BzN3sM5jL77B258Ygb3j0uszoiwaM2NT87g0nun0qFlKC1inHfyfrz/75qghuqhOVRQxDdbdvH++YN47/yB7M3Jx3x0XxkUfu5u3Dx7Ae+t2cwrQ/vV24YzNHhlpO5+aWC9ulXuGR/BxX3j+WC2dYzkocwCvlmwjffvGMG7t41gb2pedQeGozXchPx37+XpYuSV/n15Z+NmSk0mu2XnxsXy9+Ej/3P5HElpxzyEqO1sblPAqbUrTub777sFh/D1cuGrSQlcNiCGvanF1d93Fg03vb2GMS8sp32sPy0irCcxr/y0kzGJMXxxX2+83F2oMjv3g1n39xbqf/+3bt2WqT9O4/MvpnDJpZfx9FOPAdahDHv37GHUqEuZ/NnXeHh4MnXqt04t7/E0XBf756+//z733n4bRqPR7vUlK1YQGBhAh7ZtnVnEf6GB/d7A7/Kg3r34/o3XeHnSfXz+yzS7ZVUmE8vXb+CcPgmANUvim5kzGX/5ZU4p8b9xrOzaNnFBHMkoorzS+nubXVDGii3JXHd+J649vyMZOSVY6qw8oGsMFotmqxMvMlU7iabeUd5R0QS2b0/6ypV2wft+/oldU77GMzwc96Agu3UCWrem4AzIftDa4rBHY5A5IBrHLOANYAhQO8epwd9L27+187rNnHjfHa97uOQ4yxp6n5PqatZaTwaOthD054+d+Efu8r5tuKR3awB2JOdYr7QmWb+gwvy9yKozVCK/pAJfDzeMBoXZogn39yK70BqTWVDa4PoJ8RGk5haTb+vdXbj9MF2ahfLnpoMnU62Tdtk57Rk10Noe23kom/BaWQKhgd5k55faxecXl+PjWVOXsEAvsmwxmXml5BenUF5porzSxKY9GbSOCeJIRmH1+sVllWzYnUbfTjEcSM13aF3GDG/PqCHWi1I7D2QRVqsuYUHeZOfVqUtROT5e7tV1Ca0Vc+GgNnw3ezMAKZmFpGUV0SwqgJ215q0oLq1kw640+naJ4aCTesgzS0sJ9665+h/m5UVWabl9TMnRmJx6MbP2HGLWnkMA3NGzE5mltuOupIyFh6zjIndk52HRmgAPN/LLHT8+8PL+bRndz3qM7TicbZeZEBbgRVZhA5+X2seYvzfZhbXGzUYG8vhVidw3+R8KS2s++rNX72P2ausQojtGdiezwH5/O0pmWRlhnrX3iSdZZeXHWcOeUSleSezHvKQjLEpJrbdsSEwU4/5a4LDynpImPl5TnNHOyjYF1G9XfPPgyU8mm1lQTliAR/Xz0AB3sgvth8iVVph55aeaSXZ/eTyR1Fz779HichMb9+fRt20wB9NLOJxVyv2fbQIgNsSTfu2dO04/NDSMzMzM6ufZWZmEBNsPJfGudYW3b99E3n3nTQoK8gkNDSM0NJT2HToCMGjwEKb+8B0AgUGB5ORkExwcQk5ONgGBAU6tB1gzHtJr1SUjK4vQEPu67Ni1m0eeex6A/IIClq1ahdFoZNuOnSxevoJlq1ZTWVlJSUkJj7/wIi8/9aTTy92Q0KAgMmtl3WXl5hJim6SwId3atyP10wzyi4qqJ5VctWkzbZo3J8jf2i+YkpFJWlYWNz32RPU2xz/xFJOff5bg42z7VBWWVtplLfh5uVNc2nAbpmPL0HpzdW3ak8GmPdZMgXN6NrNrT3SJD6N1XBDfzt3mhJLXZyouwdWnZtJOVx8fTKX1v6I8goOJPmcoh+bMxlxRv91hqaykJCUF37hmVOTa9rNS+LVsxb5fGm/yyaPkNpzif/El8LzWuu5U+UuA6wCUUkOAbK11ISenCKg9TW7tbbUB4oD6U/6fnDXAYKVUoG2WbYd1zf66ag/Xv/8717//O4t3HGFkd+s4rU6xIRSXV5HTwFwN6w9kMLSTNTXtwh6tWLzTeoVz6c7kBtdPLyilU1wI7q7W3vTe8REcynR86tS0hTsZ9/xMxj0/kyUbk6qHTXRsGUpJWSU5BfXrsmF3Guf0bA7AyMTWLN10GIAlm5Lo1jrcOneFm5EOLUM5lJZPgI8HPp7WtDh3VyO920eRlO74ukz/Zyc3PjmDG5+cwZL1SZw/wNpJ1LFVKMWlx6jLzlSGJFgzS0YOaM3SDdaUtoycEnp2tM6XEOjnSVyEP6mZhQT4euBjGw/o5mqkd8dokhzckVLbjqw8Yv18iPLxwsWgOLdlLEsP25+0Lj2cysh467HVKTSI4qoqcmwnxEcnlwz39uSc5tH8td+6rxYnpdAryppSGufng6vB4JTOB4Bfl+9m7BuzGfvGbJZsO8wFvW3He7MQisuqyCls4POyL52hXW2fl4RWLNlm/byEB3jz6k1DePb7pRzJsv+aCfTxqI4Z0qUZf21wbGfdUTtz84j19SHS27pPRsTFsLROR8LxPJHQk0NFhUzds7fest7hYRwqLCKrzLnzvQhxBpA2RQN2HSkiNsSLyCAPXIyK4d3CWb7dPt3fx8MFF6O1P+TiPlFsPpBPaYWZAG9XfDysfTJuLgZ6tQ4iKdN6EhPgY83gUwrGDW/BzJWnNO/nCbVr146UlGTS0lKpqqpiwYL59EscYBeTm5tTnV2wc+cOtNb4+fkTFBRMWFgYh20p5hs2rKeZbcLHxMQBzJtnneh73rw/6J840Kn1AOjYrh2Hk5NJSU2jqqqKefMXMLh/f7uYuT//xB+2x/DBg3n8/kkMHTiQe26bwF/TfuWPn3/i1WeepnePHo3W+QDQrmVLktPTSc3MpMpkYv6qVQzo2cMuJjk9o3q/7D54iCqTGX+fmvkG/lm5kmG1hl+0iotl9scf8cu7b/PLu28TGhTEFy+94NTOB4DUrCKC/DwJ8HHHYFB0bBnKnsP1k5rcXY00i/Rjd527uh3NavXzdqdd8+DqDopW0QEkdonhp793VN/hzdlKMzNw9/fH1dcXZTDgH9+awoP2bRhXHx/izr+A5Pl/U1mQX/260cMDg5u1XaqMRnxiYu0mrzz63FRyvD5XcTIkA6IRaK2TgXcbWPQs8JVSagtQCoz7F5vdApiUUpuBr4GPgE+UUlsBE3Cj1rrif5nQRmudopR6GevY0lSsaZQOP+tdvjuFxLbRTH/wEuttBX9dUb3s7RuH8tK0lWQXlfH+Hxt46ZqB3H5uV/ak5jFr7b7jrr/9SDbztyXx7cQLMVs0u9NymbGm/gmLI63Ymkxi51h+eflyKipNvPhVzYRRb947gle+XkZ2QRkf/rqOF24bwm2X9mTP4RxmL7OmdSWlFbBqWzLfPnsJFg2zl+7mQGo+rWICefrmQRgMCqUUC9YeZPkW56aYr9x8hH7dYvn5jSsprzTx8mc1E1W98eB5vPr5UrLzS/n4x7U8d9c5TLi8J3uScpiz2No2/fq3jTwxYRDfvDwGpeCjn9ZSUFxBq9ggnpwwCIPBgMEAC1YfZMUm59XFrDWvr9zIe+cPwqAUs/cc5EB+IWPaWU/ip+86wPIj6STGRDL9igsoN5l5Yena6vX/b1g//NzdMVssvL5iI0W2OyvM2nOQpwb2ZuqYc6kyW3huyZoG39/Rlu9IIbF9DNOeGGO91euPy6uXvX3rMF76aQXZhWV8MGc9L44dzG0XdGdPSi6zVlmP/fHndcHf252HL+9r/f+xWLjxrd8BePWmIfh7uWMyW3h92qrqySodzaw1b2zYxLuDB2BQijkHDnGwsIhLW1k7smbsP0iQhztfjxiKt6srFq25uk08V//xN60D/BnZvBn78gv45txhAHy8dTsr09IBGBEXc8YMvwBk/gbhNNKmaJjZonlrxm7eurU7BgW/r03jYEYJo/tZO8RnrkyhWbgXT17dEYvWHMoo4dWfrdkQwX7uPHF1BwzKesvBBZszWbHTetI1olsEY/rHALB4aya/r3XunFJGowt33zOJRx6+H7PFzAUXXESLFi2ZNWsGAKNGXcrixQuZNXMGRqML7u5uPPnUc9XDNO6+ZxIvv/QcJpOJyMgoHn7kcQCuuWYszz/3FH/MnUNYWDjPPPuiU+sB4OLiwqP33ccdDz6IxWJh9MiRxLdowS8zZwJwxejR/9N2FyxZwqvvvkdefj53P/IobePj+fjNNxxZ9HpcjEYm3XgDD/zf61gsFi4cPIgWMTH89o81S+eS4cNYvHYtfy5dhovRiLubG8/dfZfdpJTrtm3nofE3O7WcJ0Nr+HPlfq49vxNKweY9GWTll9KjXQQAG3ZZf1fbNg/mQEo+VXVuY3/FsHZ4urtisWj+WLGfctsErucntsJoMHDd+dZbfqdkFjF3xX6nVyZ16RJaXDwalCJv1w4q8nIJ6mjNAsrdvp2wXr1xcfcgatBg6yoWzf5ff8bV25uYocPBoFAoCvbvoyjpUPWmA1q3pmBf4w+/AKCJ34ZTNTQeS4i6lFI+Wuti29WKGcCXWusZx1lFJ5zEEIymYM0rY+l3y5eNXQyHWPn5zfQf+3ljF8Mhln97CwlfHHPocJOyZvwV9Jk0pbGL4RCr3x5H35+mnTiwCVh11WUOm+ms761fOeTHdtVnNzX+7GtCnKL/oU0BoAf8iyEYZ7JlbwwjJTX7xIFNQHRUCGUZ6Y1dDIfwDI8gc93puYjgTGG9Enjhi/p3F2mKnho/gK0fOfwmOY2i850THfb7XXhgn8NO4P1axp/2doUMwRAn61ml1CZgG3AQ+K1RSyOEEEKIpkraFEII8R8lQzDESdFaP9jYZRBCiKZKSbahENWkTSGEEP87mYRSCCGEEMenHfQQQgghxH/a6bwNp1LqfKXUbqXUPqXUo8eJ662UMiulLj/RNqUDQgghhBBCCCGEENWUUkbgQ+ACoANwjVKqwzHi/g+YdzLblSEYQgghhLNJ9oIQQgghHMFy2u6CkQDs01ofAFBK/QiMxnr3otruBqYBvU9mo9IBIYQQQjhbEx+vKYQQQogzgyPvYqmUmgBMqPXSZK31ZNvf0UDte5onA33qrB8NXAoMRToghBBCiDODkv4HIYQQQjiAdmAGhK2zYfIxFjd0i866LZp3gEe01malTu6OntIBIYQQQgghhBBCiNqSgdhaz2OA1DoxvYAfbZ0PIcBIpZRJa/3bsTYqHRBCCCGEs0kGhBBCCCEc4DTehnMt0Fop1QJIAa4GrrUri9Ytjv6tlPoamHO8zgeQDgghhBDC6ZQDx2sKIYQQ4j/sJG6f6ZC30dqklJqI9e4WRuBLrfV2pdTttuWf/C/blQ4IIYQQQgghhBBC2NFazwXm1nmtwY4HrfWNJ7NN6YAQQgghnE0SIIQQQgjhAI6chLIxSAeEEEII4WxyG04hhBBCOIAjb8PZGAyNXQAhhBBCCCGEEEKc/SQDQgghhHAy1bQvVgghhBDiTNHEh2BIBoQQQgjhbFo75nEKlFJBSqm/lVJ7bf8GHiPuS6VUplJq2ym9oRBCCCEcTlssDns0BumAEEIIIZztDOiAAB4F5mutWwPzbc8b8jVw/qm+mRBCCCEcT2vtsEdjkA4IIYQQ4r9hNDDF9vcU4JKGgrTWS4Dc01QmIYQQQvyHqKY+i6Y4Y8mBJYRo6pSjNjTwyk8d8p247JfbbwMm1HppstZ68smsq5TK11oH1Hqep7U+1jCM5sAcrXWnUyiuEI4k7QohRFPmsDZF+uqVDvs+jOjTz2HlOlkyCaVwmnNGvt3YRXCIhXMnkfDUd41dDIdY88L1jFwyvbGL4RBzB42h/4yzoy7LLx3DTRunNXYxHOKr7pfR+72fGrsYDrH2nqsctzEH3YbT1tlwzA4HpdQ/QEQDi55wSAGEaESb3n6jsYvgEN0mPUi3e+c3djEcYtO7w5g7ZkxjF8MhRk6fzppnn27sYpyyhGefZ/rQ4Y1dDIcYs+AfUlKzG7sYDhEdFeK4jTXxBALpgBBCCCHOElrrY7Y6lVIZSqlIrXWaUioSyDyNRRNCCCGEkA4IIYQQwtnUmXG1YhYwDnjV9u/Mxi2OEEIIIf6txrp7haPIJJRCCCGEs50Zd8F4FRihlNoLjLA9RykVpZSaezRIKTUVWAm0VUolK6XGn+obCyGEEMIxmvptOCUDQgghhPgP0FrnAMMaeD0VGFnr+TWns1xCCCGE+O+QDgghhBDCydQZMQJDCCGEEE3emTGs838mHRBCCCGEszXxxoIQQgghzgxNfQ4I6YAQQgghnM1Bt+EUQgghxH+bbuIXNWQSSiGEEEIIIYQQQjidZEAIIYQQTnaG3IZTCCGEEE2dDMEQQgghxHHppt1YEEIIIcSZQTfxNoUMwRBCCCGEEEIIIYTTSQaEEEII4WwyBEMIIYQQDqCb+MTW0gEhhBBCOJnMASGEEEIIh5AhGEIIIYQQQgghhBDHJxkQQgghhLNJBoQQQgghHECGYAghhBDi+Jp4uqQQQgghzgxabsMphBBCiOOSDAghhBBCOEITb1NIB8RZRCllBrZi3a87gXFa69JjxN4I9NJaT1RK3Q6Uaq2/OW2FPYa7bxtCn94tKK+o4v/e+ou9+zPrxVxyUVcuv6QH0VEBjL76YwoLywHo37clN41NRFs0Zovmg08XsW1HKqEhPjz2wPkEBXqhNcz5cyvTZm50aj36xkfywIW9MSjFzPX7+Gbp9noxD4zsRWKbaMqrTDw/fSW703JPuO6VfdpyRd+2mC0Wlu9O4f2/nFsPgNJtu8n+cQ7aYsFvYG8CLxhit7wyLZPMr3+l4nAqwZecS8B5g6qX5f+znMKla0Fr/Ab1JmD4AAAqjqSR9d0MdEUlLsGBhN9yFQZPD6fXpU9YOPd16YJBKWYnHeK7PXvslsf5+PBEz5608Q9g8o4dTN231265AfjinKFklZfx8MqVdsuuiW/NxM6dGfn7HAoqK51dFfI27eHglDlgsRA2tDcxowfbLc9atomUWUsAMLq70fKW0Xg3i8RSWcW25z7DUmVCWywE9+lE3BXDASg5lMr+z2diqTKhjAZa3jwK3/hYp9ajX7MIHhjU3Xq8bz/AlPW76sU8MKg7/ZtHUm4y89zfa9idlQeAj5srTw7vTasgfzTwwj9r2Jqew+19OzGoZTRaa3LLKnju79Vkl5Q7tR5CnI2aervCt1lzoocMRRkUOdu2krl2jd3ywHbtCeuVAIClqpIj8/+hPDsLVx9f4s6/AFcvbzSanK1byN64AQD/1m2I6JeIR1Awe6Z+R1lGhtPrkdguiIfHtMFgUMxYlcpX/yTZ19PTheeubU9MiCeVVRaembqT/WklAMx9OpGSCjMWi8Zk0Vz35loA2kb78MSV7XB3MWCyaF75ZTfbDhc6vS4h3bvT4eabUQYDR/75hwMzZtSL6TB+PKE9emCuqGDLBx9QeOAAAC5eXnS+6y58Y62/S1s++ID8PXtofc01hPfuDVpTUVDAlvffpyIvz+l18Y+PJ+78kSiDImvDBtKWLbVb7hESQsvRl+IVGUnygvmkr1hevSy8bz9Ce/QENGUZGRyY+RvaZMLo6Un85VfiHhBARX4++375CXO583+/wnv3psvEO1EGA4fm/sGeqT/Wi+ky8S4i+iRgLq9g/Wuvkb93H56hofR69BHcgwJBaw7O+Z3902v2actLL6HVJaPRZjPpq1azbfJnTq/LmjWr+OCDd7CYLYy88GKuvXas3fJNmzbw1JOPEhERCcDAgYO5YdzNAFxz9WV4eXlhMBgwGo188umXAOzft5e3336dsrIywiMieeKJZ/D29nZ6Xc5W0gFxdinTWncDUEp9D9wOvHWilbTWnzi5XCelT6/mREcHcP0tX9G+bQSTJg7lzkn1vwC37Uhl5ZqDvPN/l9u9vn7TEZav+g6Als1DeOaxCxl32xTMZs3Hny9h7/5MPD1d+fS961i3IYmkI7lOqYdBKR6+OIGJX88ns7CUKbdfwNJdyRzMKqiOSWwdRWywL5e9M5NOMSE8cnECN0/+87jr9mwRzqD2MVz7wRyqzBYCvd2dUv7atMVC1g+ziJo0HpdAP5Jf+hDvru1xiwqvqa+3FyFXX0zJph1261akpFO4dC0xj9+JcjGS9u5XeHVuh1t4CFlTphF8xUg827akcNk68uctIeiSc51aFwPwQNeu3Ld8GZllZXx+zjksS0vjUFFRdUxhZRVvb97CoKjIBrdxRXw8h4qK8Ha1/+oM8/Skd1gY6aUNtssdTlssHPhyFh2fuBm3YD+2PP4RQT3b4RVTs1/cQwPp9PStuPh4krdxN/snz6DLS3eiXF3o+NR4jB7uWExmtj3zKYHd2uDbOo5D3/9J7GVDCezelryNu0n6/k86PXOr0+phUIqHh/Rk4oxFZBSXMeWqESw5mMrB3JpGcGKzSOICfBnzzVw6RQTz6Dk9uennfwB4YHB3Vial8+jcFbgYDHi4GAH4dsMuPlm1DYCrurbmloSOvLpwvdPqcTJUE0+XFP9ZTbddoRQxQ4ezf/ovVBUV0eba6ynYv5+K3JzqkIqCAvb98iPmigp8m7cgdvi57P3xe7S2kLpkEWWZmRhcXWlz3ViKkpKoyM2hPCebQ7NnEjvMub9ZRxkUPHZFW27/aCMZ+RV8/0BvFm/N5kBGSXXMLSOaszulmPu/2ErzMC8eu6Itt31Yc4Hi1g82kF9SZbfd+0bF8+mfB1m+M4cBHYK5b1Q8t3ywwcmVMdDx1ltZ89xzlOfk0P+118hcu5bi5OTqkNAePfCKjGTxXXcR0KYNnSZMYMWjjwLWjomsjRvZ+PrrKBcXjG5uABz87Tf2Tp0KQLORI2l95ZVs+/RT59ZFKZqNvIjd306hsrCQjrfeRt7uXZRnZVWHmMrKSPrjdwLbtbdb1dXXl4g+fdny4ftok4lWV1xJcKdOZG/aRNSAgRQePEDasqVEDhhI5ICBJP/zt3PrYjDQ9d67WfbQI5RlZXHOxx+StmIFRUmHq0PC+yTgEx3NX2PHEdi+Pd3uu5dFd92NNpvZ+skn5O/dh4unJ+d88jGZ69dTlHSYkG5diUpMZP4tE7BUVeEeEODcegBms5l3332T119/h9DQMO64/RYSEwfQvHkLu7jOnbvy8iuvN7iNt95+H39/+7K+8car3H77RLp2684fc+fw00/fc/PNE5xVjRNq6kMw5C4YZ6+lQLxSKkgp9ZtSaotSapVSqkvdQKXUs0qpB21/xyul/lFKbVZKbVBKtVJKfauUGl0r/nul1ChHF7h/31b8NX8nADt3p+Pt7U5QYP3exX0HssjIrN9LX15e8+Pq4eGKtqUn5eaVVGdSlJVVcfhwLiEhPo4ufrWOMcEk5xSRmleMyWzhr62HGNQ+xi5mUPtY5m46CMC25Gx8Pd0I9vE87rqXJbRhypLtVJmtXzp5JRVOq8NRFQeP4BoajGtoEMrFBZ/eXSnZtNMuxsXPB48WsSij0e71qrQsPFrGYnB3QxmNeLRpQclGazZHZUY2Hm2sPwZeHeIp3lA/Q8TR2gcFkVxSQmppKSatmZ+czMBI+46G/MoKduXnYWpgcp9QD08SwyOYfehQvWX3dO7CR9u2VR9zzla8LxnPiGA8woMwuLgQktiF3HX2+8WvbTNcfDwB8G0dR6XtpF4phdHD2nmlzWa02QKo6mXmMutxZSotxy3Q16n16BgexJH8IlIKSzBZLPy99zCDW0bbxQxuGc3vuw4BsC09B193V4K9PPB2c6F7VCgzt1uvjJksFoorrd8BJZWm6vU9XV3OjExFrR3zEKLxNKl2hVdEBBX5eVQWFKAtFvJ278K/VSu7mNK0VMwVFdV/u/pa2wamkhLKMq3tBktVFRW5ubj6WJdV5OaelqvrR3Vq5seRrDJScsoxmTXzNmQwpHOIXUzLCG9W77FeVDmUWUpUkAdBvm7H3a7W4O1h/d328XAhq9D5bYqA+HhK09Ioy8hAm0ykLVtGeEKCXUx4QgIpixYBkL9nDy7e3rgHBuLi6UlQhw4k/2PtgNYmEyZbp7+prKx6fRcPj9PyW+wTHVN9LGizmZxtWwls284uxlRSQklqasMniwYDBldXMBgwurpSabsYEtC2HdmbrJ1H2Zs21uu8cIagdm0pSUmlNC0NbTKRvGARkYn97WKiEhM5/Le1IyRv505cfXzwCAqiPDeX/L37AOt+KDp8GM8Q6/HZctQodk/9EUuV9be5Ij/f6XXZtWsn0VExREVF4+rqytChw1ixfOmJVzyBI0cO06VrNwB69urN0iWLT3mbp0RbHPdoBJIBcRZSSrkAFwB/As8BG7XWlyilhgLfAN2Os/r3wKta6xlKKQ+snVSfA5OAmUopfyARGOfocoeE+JCZVXM1Oju7mJAQH3LzSo6zlr0B/Vpx640DCAjw4rFnfqu3PDzMj/hWoezcle6IIjco1M+LjIKaK+GZBaV0jLFvLIT5eZJRUFIrpoQwP8/jrhsX7Eu35mHcMbwblSYz787bwM6UHJzJlF+IS5B/9XOXQD/KDx45qXXdosPJnTEPc3EJytWV0q27cW8WU72sdPNOvLt1oHjdVky5+c4ovp1QDw8yazVSMsvK6BgYdNLr39ulCx9t34aXi/3X5oCISLLKythXWHCMNR2vIrcAt+Ca/eIW5E/xvmPvl4yF6wjo1qb6ubZY2PzYh5Sn5xBxbl98W1vTWZuPu5AdL3/Foe/+AK3p9PxtzqsEEOrjSUZxzT7JKC6lU3hw/ZiiWp+J4jLCfDwxWzT5ZRU8MzyB1qEB7MzM483FGyg3mQG4o19nLmzXnOLKKm6fvtCp9RDibNcU2xWuPr5U1cpwqyouxiui4ew2gKBOnSk6eLDe625+fniGhlGanubI4p20MH8P0vNrUvAz8ivo3MzPLmZPajHDuoSx6UABneL8iAz0INzfndyiSjTw8R3d0MC05SlMW5kKwOsz9vDRHd25f3RrDArGveP8LDGP4GDKc2raLWU5OQS0bm0fExREeXZ29fPynBw8goKwmM1UFhbSZeJEfJs3p/DAAXZ88UV1B1Kba68lesgQTKWlrH76aafXxdXPl4pav/uVhYX4xMQcZ40aVUVFpK9YTrdJ92OpMlGwfx+F+/dbt+vjTVVxsTWuuBjX05Dm7xESUt3hBlCWnUVQ+3YNxNRkd5RlZeEREkJ5bk02sVd4OAHx8eTutA6l9ImJJqRzJzqOvwlzZSXbPplM3u7dTq1LdnYWYWFh1c9DQsPYubP+Ra4dO7Zxy/hxhISEcNvtd9GiRUvAeiHmoYcmoVBcfPFoLrrY2k/avEVLVixfRv8BA1m8aCGZmc4fenU2kwyIs4unUmoTsA44DHwBDAC+BdBaLwCCbT/29SilfIForfUMW3y51rpUa70Y61WPMOAaYJrW2tTA+hOUUuuUUusmT578rwuvGnrxX/ZiL1u5n3G3TeGpF2Zx89hEu2UeHq48/8RFfDh5MaVlzhuj32A9qFuP+lH6BOsaDQb8PNy4efKfvDdvA69cNfBUinlyGvzvb7iUdblFhhFw/mBS3/6StHe/wj0mEmW0fuWEjbuMgoUrOfLC+1jKK1AuxhNs7dSpY/yfn4zEiAjyKirYXaf33t1o5Ia2bfl8546GVzydjrFbCrbvJ3PhOppde35NqMFAt/+7m14fPULx/iOUHLF2yKX/vZoWN1xIr48eofkNI9n/6fTTXuQTf1KsXwtGg6JtWCC/bt3H9VP/orzKxI29aq4UfbxyKxd9NZs/dydxZZd4Rxb7f9OEr1SI/7Qm3a6o5xhtCp+YWII7diZ12RK71w2urjS/aBQpixdiOQ1z+zRENfAlWLcWX/59CD8vF356KIGrB8WwO6UYsy2T78Z31nHNG2u565NNXDkwhh6tAgC4on8Mb8zYw/nPLueNGXt55hrnX2k/KQ1UWGuNwWjEr2VLkubNY/mDD2IqL6flmDHVMXt++IGFEyaQumQJzS644HQUtP5LJ9lmNXp4ENiuHZvfeZtNb76O0c2N4C71EolOG3USB1nDMTVBRg8P+jz3DFs++qg6M0UZjbj6+rLorrvZ9ulkEp5+0pHFblBD2S91y966dVum/jiNz7+YwiWXXsbTTz1Wvey99z9m8uSvePX/3uS336azefMmAB5++HF+mzmN2ybcTGlZKa6urk6tx4loi3bYozFIBsTZpXqs5lGqwW+MY553He/M8lvgOuBq4OaGArTWk4GjLQQ99be3j1tYsE4oeeF5nQDYtTeDsNCalO+QEB+yc04++6G2LdtSiIr0x8/Pg8LCcoxGA88/cRH/LNrF0hX7/qdtnqzMwlLC/b2qn4f5e5FVVNZAjDeQZYvxJquwDFej4ZjrZhaWsnCH9Sr3jpQcLFoT4OVOfqnz0iZdAv0w5db08JvyCnEJ8DvOGvb8BvbGb2BvAHKmz8Ml0LquW2QYUZPGA1CZnkXpVuf2iANklpcR5ulZ/TzM05Ps8rLjrFGjS1AwAyIj6RcejpvRiLeLC0/37MV3e/cQ5e3FlKHDAAj19OTLc4Zy66KF5FY4b7+4B/lTmVPryktuAW6B9fdLSVIa+z6dQYdHb8TV16vechdvT/w7tCR/0168YyPIWryBFuMuAiC4b2f2T64/OZgjZRaXEe5Ts0/CfbzILimrH+PrBbaLj2E+nmTZYjKLy9ieYb36Mn/fEcb1rN+A/nN3Eu+MGsTk1c4f5nNcMnxCNE1nVLti09tvHLewtVUVF+HqW9OmcPXxoaqkuF6cR0gIsSPO48CMafaT/RkMNL9oFHm7dlJQZ0Li0ykjv5yIgJpJmsMD3MkqsP99Kakw88wPNcPw5j6dSEqO9Xsyq9DacZJXXMXCLVl0ivNjw/58Lk6I5LXp1omY/9qUydOnoQOiPCcHj+CaLDfP4GAqal1Br44Jqcka9QgOtg5z0JrynBwK9lr3RfrKlbSq1QFxVMrSpfR+4gn2/vSTk2phVVVYiLtfrUxEP7/qYRQn4teyFRV5edUn6rk7d+ATG0fOli1UFZdYj9XiYtsx+7+1g/+NsqwsPGtlDXiGhFKWndNATGhNTGhodTaLMhrp+9yzHPlnPqlLl1XHlGdlVz/P27UbrTVu/v5UFjgvYzQ0NIzMWtkc2VmZhATbZyHXnjyyb99E3n3nTQoK8vH3DyAkxFrHwMBABgwcxK5dO+jatRtxcc14/fV3AOtwjFWrVjitDidDN/ELEpIBcfZbgvUHHqXUECBba93gNMe215OVUpfY4t2VUkfPWr4G7rPFOawl/9uczdx69/fcevf3LF+5n3OHWX8A27eNoKSk8l8Nv4iKrPkhaN0qDBcXY/UdMh6+bwRJR3L5ZYaTJ1jC2jkQG+xLVIA3LkYD53ZuztJdyXYxS3clM7KbdQ6ETjEhFJdXklNcdtx1F+88Qq+W1kkG44J9cTUanNr5AODePIaqzGyqsnLRJhPFazfj3fXkGymmQlsaYU4+JRu345PQze51bbGQ9/tC/Ab3cXjZ69qVl0eMjw+RXl64KMWwmBiWpZ1cSu0nO7Zz6Z9/cPlf83hm7RrWZ2fx/Pp1HCgs5KK5c7n8r3lc/tc8ssrKuHnhAqd2PgD4tIqmLD2b8sxcLCYT2Su2EFTn5LsiO5/db31P67uuwDOq5se3qrAYk+0E3lxZRf7WfXhGWX9w3QL9KNxhTUEu2LYfjwj74RCOtiMjl7gAX6L8vHExGBjROo4lB1LsYpYcTOHCds0B6BQRTHFFFTml5eSUlpNRVEqzAOsJRu/Y8OrJK2P9a+Z4GdQimkN5zp/ZXYj/kDO6XXFUaXo67oGBuPn5owwGAtu2o/DAfrsYV19fWlw8mqQ/51KRbz+vQ9yI86jIzSVrQ+NOYLv9cBFxoV5EBXngYlSc1yOcxduy7WJ8PV1wMVr7esb0i2L9/nxKKsx4uBnwcrdmGHq4GejXLoh9adbf36yCCnrFBwCQ0CaQw1nOn0S5YN8+vCMj8QwLQ7m4EDlgABlr19rFZKxdS/SQIQAEtGmDqbSUirw8KvPzKc/OxjsqCoCQLl0oPmK9KONVaz6n8N69KU6x/x1xhuLUFNyDg3ALCEAZjQR36kz+7vp3cWpIZUEB3jGx1jkgAP8WLasnr8zfvYuQbt0BCOnW/aS3eSrydu3GJzoar4gIlIsLMUOHkLbS/gQ7bcVK4kaMACCwfXuqSkqqh1/0eOhBig4nse/XaXbrpC5fTmj3boB1OIbBxcWpnQ8A7dq1IyUlmbS0VKqqqliwYD79EgfYxeTm5lRnSuzcuQOtNX5+/pSVlVFaaj3vKCsrY926NdVDM/Js875YLBa++3YKoy6+xKn1ONtJBsTZ71ngK6XUFqCUE4+xHAt8qpR6HqgCrgAOaK0zlFI7gd+cVdBVaw/Sp3dzvvviJioqTPzf239VL3vluUt4492/ycktYcyoblx9eS+CAr354sOxrF53kDfe/YdB/Vtz3rAOmExmKipNPP/q7wB06hDFucM6sP9gFp+9fx0An09Zzup1h5xSD7NF8/qctbw3bhgGg2L2hv0cyCxgTG/rOMfpa/eyfE8KiW2imD5pNOVVJl6YvvK46wLM2rCfpy7tx9SJF1FltvDcNOf3viqjkZBrR5H2zpfWL+j+vXCLDqdg0WoA/If0wVRQRPKLH1iHUihF/j/LiXt+EgZPDzI+/h5zSSnKaCDk2lEYva1Xu4vXbKZwobXO3j064du/p9PrYtaatzdv4q3+/TGimJOUxMGiIi6xzYz826GDBLm788U5Q/F2ccGiNVfGx3PdP39TaqqXGdyolNFIy5tGsePlr9AWTfg5PfGKDSf9b+t+iRjRhyPTFlBVXMqBL2fZ1jHQ9eW7qMwrYt/Hv9pS7yyE9OtMUE/rWM9WEy7l4JQ5aLMFg6sLrW691Kn1MGvNa4s28N7owRgNilnbD3Agt5AxnawTxU3ftp/lh9Lo3zySGeMutN6y9p+a2+i9sXgDz5/XF1ejgZSC4uplE/t3oVmgHxatSS8q4ZUFjXsCAcjwCXE2eZam0K7QmuQF82k55jKUMpC7fSvlOTkEd+kKQM6WzUT06YfRw5PYocNtq1jY88N3eEdFE9ShI2VZWbS97gYAUpcvpejQQfxbxRN9zjBcPD1pOXoMZVmZHJgx7ZjFOFVmi+bVabv5+I7uGAwwc1Ua+9NLuLy/dcLeX5en0CLcixev74jZojmQXsKzU63ZEMG+brw13pra72JQ/LE+gxW7rCeNz/+0k4fHtMFoUFRWWXjhR+ef6GqLhe2ff07C00+DwUDy/PkUHzlC3LnWO4oc/usvstavJ6xHDwZ/9BEW2204j9r++ed0u+8+lIsLpRkZ1cvaXX893tHRaIuFsqws598BA8BiIWnu77QbewMoA1kbN1CWlUVor14AZK1bh6uPDx0n3IbR3R2tNRF9+7Llww8oSUkmb8d2Ot52O9pioTQtjcz16wBIW7aUVldcRWj3Hra7tDg3kwOs+2XT++/T//9eRRkNJP3xJ0WHkmhxsTUj8uDsOaSvXk14nwTO/e4b2204rXeQCO7UiWbnjqBg/wGGTrbe/Gb7F1+SsXoNh/74k54PPciwLz5Dm0ys/7/XnF4Xo9GFu++ZxCMP34/ZYuaCCy6iRYuWzJplzegcNepSFi9eyKyZMzAaXXB3d+PJp55DKUVeXi5PP/U4AGaziWHDzyUhoS8AC+b/zcyZ1mGpAwYO5vwLLnR6XY6rkYZOOIo6XbO2i6bNdsViK9BDa30y3Zf6nJEnHoLRFCycO4mEp75r7GI4xJoXrmfkEueO6z9d5g4aQ/8ZZ0ddll86hps2Oq8Bezp91f0yer/n/AbT6bD2nqtObsKTkzB0yHMO+bFdsOgZh5VJiMb0v7Qr/s0QjDNZt0kP0u3e+Y1dDIfY9O4w5jYwFKIpGjl9Omuedf4Els6W8OzzTLd1qjV1Yxb8Q0pq9okDm4DoqBCH/X7v+/Unh53Ax1/uuLbOyZIhGOKElFLDgV3A+yfZSBBCCFGb3IZTiGrSrhBCiP+dTEIpznpa63+AuMYuhxBCCCGaPmlXCCHEf5d0QAghhBBOJ3NACCGEEMIBmvi8UtIBIYQQQjhbE28sCCGEEOLM0FhDJxxF5oAQQgghhBBCCCGE00kGhBBCCOFkWjIghBBCCOEITbxNIR0QQgghhLPJHSyEEEII4QDa0rQ7IGQIhhBCCCGEEEIIIZxOMiCEEEIIZ2vi6ZJCCCGEODPoJp5VKR0QQgghhLNJB4QQQgghHKGJD8GQDgghhBDC2aQDQgghhBAO0NQzIGQOCCGEEEIIIYQQQjidZEAIIYQQTia34RRCCCGEIzT1u2BIB4QQQgjhbE08XVIIIYQQZ4gm3qaQIRhCCCHEf4BSKkgp9bdSaq/t38AGYmKVUguVUjuVUtuVUvc2RlmFEEIIcXaSDgghhBDC6SwOepySR4H5WuvWwHzb87pMwANa6/ZAX+AupVSHU31jIYQQQjiGtlgc9mgMMgRDCCGEcLIzZA6I0cAQ299TgEXAI7UDtNZpQJrt7yKl1E4gGthx2kophBBCiGOzyBAMIYQQQpz5wm0dDEc7GsKOF6yUag50B1Y7v2hCCCGE+C9QTf0+ouKMJQeWEKKpU47a0ODedzrkO3HJuo9vAybUemmy1nry0SdKqX+AiAZWfQKYorUOqBWbp7WuNw+EbZkPsBh4SWs93RFlF+IUSbtCCNGUOaxNse2TDx32fdjp9rscVq6TJUMwhNOMmH92tFn/HjaGy9ecHXX5NWEMfe78urGL4RCrP7rxrDrGzqa6JDz0TWMXwyHWvH6D4zbmoCEYts6GycdZPvxYy5RSGUqpSK11mlIqEsg8RpwrMA34XjofxJnkr+uubewiOMS53//Ab+ed39jFcIhL5v3JvGVnxwit8wZ0OCuOsXO//4G/rr+usYvhEOd+9z3XvrigsYvhED88OdRh29IyBEMIIYQQx6O1dsjjFM0Cxtn+HgfMrBuglFLAF8BOrfVbp/qGQgghhHAwbXHcoxFIB4QQQgjx3/AqMEIptRcYYXuOUipKKTXXFtMfGAsMVUptsj1GNk5xhRBCCHG2kSEYQgghhLOdAXfB0FrnAMMaeD0VGGn7exkOHKcqhBBCCMdq6kMwpANCCCGEcDJN43dACCGEEOIscAZc1DgVMgRDCCGEEEIIIYQQTicZEEIIIYSzNfGrFUIIIYQ4M8gQDCGEEEIclwPuYCGEEEIIgW7iFzVkCIYQQgghhBBCCCGcTjIghBBCCGdr4lcrhBBCCHGGkCEYQgghhDgu6YAQQgghhAM09SEY0gEhhBBCOFlTbywIIYQQ4szQ1CehlDkghBBCCCGEEEIIYUcpdb5SardSap9S6tEGll+nlNpie6xQSnU90TYlA0IIIYRwuqZ9tUIIIYQQZ4jTlFWplDICHwIjgGRgrVJqltZ6R62wg8BgrXWeUuoCYDLQ53jblQ4IIYQQwslkCIYQQgghHOE03to7AdintT4AoJT6ERgNVHdAaK1X1IpfBcScaKMyBEMIIYQQQgghhPiPUUpNUEqtq/WYUGtxNHCk1vNk22vHMh7440TvKRkQQgghhJNJBoQQQgghHMLiuDaF1noy1mETDVENrdJgoFLnYO2AGHCi95QOiDOEUsoMbMW6Tw4CY7XW+Y1aKBul1CLgQa31Ome+T6+gcO5s0wWDUvyReoifkvbYLY/18uHBDj2J9w3gq/07+PXw3uplY2LjuSCqORrNoeJCXt+5nqpaH87L41pzW+vOXLZkDoVVlc6sBgBFW3aT+u0csFgIHNKbsIuH2C3PW76R7N+XAGBwdyPqxkvwbBZJZU4+yZ/+gqmgCJQi6JwEQs7rD0DB6q1kzPiHitQsWj17J14tT5jh5DD3X5FAYscYyqtMvPDNMnYfya0XExnsw4s3D8bf251dR3J49uulmMw1+6B9s2C+eOhCnvxiMQs2JhEX5sdL44dUL48O8WHynE38uHBHvW07ytl0jDmjLrfGd6JvSCQmi4XUshLe2LmeElOV0+vywOjeJLaLprzKzPM/LWd3Sv3jKyrQhxevH4ifpzu7U3J55sdlmMwWmoX68fRV/WkbHcTHf27k+8U1x4+PhytPXJFIq4gAtNa8+MsKtiZlO70+DTp96ZJCANKuAAju0oV2Y29AGQwkL1rIodmz68W0veEGQrt2w1xZybZPP6Ho0CEA4s6/gJhzzgGtKTpyhO2TP8VSVUWXu+/GKzISAFcvb6pKS1j1+OPOrAZhvXrS+fY7UEYDSX/8yd6ff64X0/mOOwhP6I25vIINb75Jwb59GFxdGfjmGxhcXVFGI6lLl7Lr2+8A8G/Zkq733I3RzQ2L2czmDz4gf/eeett1tB1bNzB96hdYtIV+A4czYuRl9WL27trG9B+/wGw24+3jy72PvARAaWkJU7/+kLSUwygF1944kRbx7fh9xg9s3bQGpRQ+vv5cf/M9+AcGOb0uZ8vxVVOXsba6LGq4LmNvILRbV8wVlWyb/GlNXc47j5gh54BSJC9cyOF5fwLg4u1N14l34xEaSnlWFpvffw9TaanT69KlZRA3nNcag1Is3JTG7BVJdss93Y3cNbojwf7uGA2K31cdYfHmNAAuSIjlnO6RaA1Hskr4dNZOqswWrhjcgp5tQrFoTWFpFZ/M2kF+sfPbesdyGodgJAOxtZ7HAKl1g5RSXYDPgQu01jkn2qh0QJw5yrTW3QCUUlOAu4CXTtebK6UUoHQjXaYzAHe37cojG5eRXVHGB73PYWV2GodLiqpjiqqq+HD3FvqHRtqtG+zuwSWxrbhl1d9UWiw82SmBc8Jj+CvtMACh7p70DAojo8z5X3oA2mIhdcosWjwyHpcgP/Y//SF+PdrjER1eHeMWGkTLJyZg9PakaPNuUr6cTvxzd6GMBiKvHYln82jMZRXse/p9fDrF4xEdjntMOM3uvZ6UL2eclnocldgxmtgwPy5/djqdmofy8NX9GP/67/XiJl7Skx8X7ODv9Qd55Jp+jEpszfSluwEwKMXES3qxekfNd9bhzELGvjKrevmcl69k0eakett1lLPpGHNWXTbkZvLF/u1YtOaWVh25plkbPt+/3al1SWwXTWyIH5f93290igvhkTF9uPn9+tl7Ey/swdQlO/l78yEeHdOH0QnxTFu5h8LSSt74bQ1DOsXWW+eB0Qms2p3CY98uxsVowMPV6NS6CHGG+U+3K1CK9jfexPpXXqE8N4e+L7xI1oYNlKSkVIeEdO2Gd0QEyx64H//4eDrcdDOrn3ka98BAmp13Hssffsh2UngPEf36kbpkCVvef796/TbXXef8EyqDga533cXyxx6nLDubIe+/R/qqVRQdPlwdEt67Nz7RUfxz080EtmtH17snsuTe+7BUVbHs4Ucwl5ejjEYGvvUmGWvXkbdrFx1vGc+u774nc906wnv3ptP4W1j28MNOrYrFYuaX7ydz1wPPEhAYzBsvPEynbglERtV8f5eWlvDzd59yx6SnCQoOpagwv3rZ9Kmf075Td8bf+TAmUxWVldYTwKHnX8KFl14LwOJ/5vDn7J+46oY7nFqXs+b4OlqXcTey/tVXKM/Npe/zL5C1fgMlqbXr0tVWlwfwbxVPhxtvYvWzz+ATE0PMkHNY9czTaJOJHg8/QvamjZRmZNDi4lHk7NjOodmzaX7xxbS4eBR7f/rR2VXhpgva8sr3G8kprODF8b3YsCeLlOya/8dze8WQnF3CGz9vwdfLlTfv6Muyren4ebtyXkIMD32ymiqThXvGdKRfxzCWbElnzsrD/LL4IADn9Y5hzMAWfPnHbqfW5QyxFmitlGoBpABXA9fWDlBKxQHTsXZyn1QvpswBcWZaiW18jVKqlVLqT6XUeqXUUqVUO9vrVyiltimlNiulltheMyqlXldKrbXdCuU22+s+Sqn5SqkNSqmtSqnRttebK6V2KqU+AjYAsUqph20xm5VSr9Yq0xVKqTVKqT1KqYGOrnBbvyBSy0pILy/FpDWLMpJJDLE/ccqvqmBPUR6mBnr9jErhbjBiUAp3o5GcivLqZbe36cJn+7ahT9Ms9KX7j+AWHoxbWBAGFxf8+3alcP1OuxjvNs0wensC4BUfR1VeIQCuAX54NrcOrTJ6uuMeFUZVrnWZR3QY7pGhp6UOtQ3qEscfq/cDsO1QFr5ebgT7edaL69U2kgUbDwHw+6p9DO4aV73syiHtWbgxidyi8nrrAfRuF0lydiHpuSWOr4DN2XSMOasu63MzsdjidxbmEeJRfz872qCOscxdbzu+Dmfj6+FGsG8Dx1d8BAu2Wjuofl+/n8EdrcdXXkk5O5NzMJnt6+nt7kr3lmHMXLMPAJPZQnG587M5jkVri0MeQvyP/nPtCv9W8ZRmZFCWlYk2m0lftZKwnj3tYkJ79iR16VIACvbtw8XLC7eAAACU0YjBzQ1lMGB0d6MiL6/ee0T06Uv6ipWOLrqdwLZtKU5NozQ9HW0ykbxoMRH9+tmXo18/Dv8zH4C8Xbtw9fbBPciaAWAut36/G1xcMBhdqrOxtAZXby/AeqW6LPeEFy1PWdKBvYSGRRISGoGLiys9EgawdeMau5j1q5bQtUdfgoKt7R1fvwAAyspK2bdnB/0GDreW2cUVLy9vADw9varXr6iosJ6FOtnZcnxZ69LKVpcsW11WNVyXZba67N+Hi7e1Lt5RUeTv34elshJtsZC3aydhvXoDENazR3X9U5cuJayX/TadIT7Kj4zcUjLzyzFbNCu3Z9KzjX3bWWvwdLNekPBwM1JcVoXFYv1cGA0KNxcDBqVwczWSZ8tyKKs0V6/v7mqkse9spS0Whz2O+z5am4CJwDxgJ/Cz1nq7Uup2pdTttrCngWDgI6XUJqXUCTPbJAPiDGO73ckw4AvbS5OB27XWe5VSfYCPgKFYd/Z5WusUpVSALXY8UKC17q2UcgeWK6X+wjp5yKVa60KlVAiwSik1y7ZOW+AmrfWdtlunXAL00VqXKqVq56+5aK0TlFIjgWeA4Y6sd4iHB1nlZdXPsyvKaOd3culzORXl/Hp4L9/3v4AKi5n1uRmsz80EoF9IJDkVZRwoLnBkcY/LlFeIa5B/9XPXID9K9x85ZnzuorX4dmlT7/XKrDzKk1Lxiq9/Zfd0Cg3wIiOvpmMgM6+E0AAvcgpr9pe/tztFpZWYbV/gmfnWGIBQfy8Gd4vjrnfm8USzkAbfY0TPFvy17qATa3F2HWPOqktt50U2Y3FmssPKfCxhfl5k5NdcmcgsKCXM34ucolrHl5c7RWU1x1dGfimh/sfvHIkK9iGvuIKnr0qkdWQQu5JzeHPmWsqrTM6pyAlJ54FoHP/VdoVHUCDlOTUn1eW5ufi3im8gJtcuxiMwkMKDBzn0++8Meu99LJWV5GzdSs7WrXbrBrZrR0VBAaUZ6Y4sdj2ewcGUZWXVlDE7m8B2be1jQurGZOEZHExFbi4YDJzzwft4R0VxYPZs8nZbr9pu/eQTEl9+iY633opSiiWT7ndqPQDy83MJCKppBwQEBpN00P6CaWZGKmazifdee5Ly8jKGDL+IhMRzyMnKwMfXj++/fJ+UI4eIbd6Ky64Zj7u7BwBzpn/HmhWL8PT0YuLDLzi9LmfL8QXgERhEeW7durSqH1Onvh6BgRQnJxN/xZW4+vhgrqwkpGs3Cg8eAMDNz5/K/HwAKvPzcfPzx9kCfd3JKayofp5bVEF8lJ9dzF/rknngyi58eG9/PN2NvDd9OxrIK6rk95WHef+eRCqrLGw9mMvWAzX778ohLRnYJYLSchMvfrfR6XU5rtM4rFNrPReYW+e1T2r9fQtwy7/ZpmRAnDk8lVKbgBwgCPhbKeUDJAK/2JZ9Chy9zLkc+FopdStwNK/4XOAGW+xqrL1RrbFOIPKyUmoL8A/WqyBHxwMkaa1X2f4eDnyltS4F0FrXHog93fbveqB5QxWoPYvq5MnHmsukYaqBOU5O9qPl4+JKv5BIxq74k6uXzcXD6MKwiFjcDUauad6Wr/c7b06BBjVQcHWM3vjiHfvJW7KOiKvOt3vdXF5B0nvfEXndRRg9PZxRypPWYNH1iWOOfjdOuiKBD2esr76yXpeL0cDALrEs2HDolMp5ImfTMeaMutR2bfO2mLVmfvqxO84cpsFjx742xzu+jsXFYKBtdBDTVuxh7DtzKKs0MW5op1Mo6KmRDAjRCP7T7YpjfLmcMEZrcPHyJqxnT5bedy+LJ96F0d2dyP797eIi+iWSvnJFvfUd7qS+ABuqhy3GYmHhnXcx77rrCWzbFt9mzQBocdFFbPv0U/66fixbP/2U7vdPcnDBG9DAF3fd3zOLxcyRpAPcdu+T3DnpGebN/oXM9BQsFjPJSQcYcM75PPLsW7i7ufPP3OnV61005nqef+NzevYdzNL5c+u+jROcJcdXw8WkfkOvgQitKUlN5dCc2fR89FF6PvwIRYcPo82N91vV4MelTl26tAwiKaOIu95dzmOfreXG89vg6WbE28OFnm1DufeDldz17nLcXY3071QzfPrnRQe4+70VLN+Wwbm9Tt88bA3RFu2wR2OQDogzx9Gxms0AN6xjNQ1Avta6W61HewCt9e3Ak1gnBtmklArG+vVwd63YFlrrv4DrgFCgp+09MoCjZ7W1c94Vxz6POdqdaOYYmTNa68la615a614TJkxoKOSYssrLCK2V7h3i7klORdlx1qjRIyiM9PJSCqoqMWvNssxUOvgHE+npTYSnF5/2Gca3iecR6u7JxwlDCXRz/1dl+7dcgvyoyq25Gl6VW4hLgF+9uLLDaaR8MZ1m943Fxde7+nVtMnP4ve8JSOyGf+/GOWG6fFA7vn1sFN8+Noqs/DLCA2vKFxboTVaB/ZjE/OIKfL3cMBqs3/xhAd5k22LaxwXzwvjBzHjhcoZ2b8ZDV/dlUK3hGYkdo9l9JOeYwzMc5Ww6xpxRl6NGRMTRJySCV7evdXi5j7o8sS3fTbqI7yZdRHZhGeEBNemzYf5eZBXa1yW/pAJfz5rjKzzAi+zC49c3s6CEzIJSth+xTjq5YGsSbaOdPymZEGeQ/3S7ojw3F4/gmu82j6AgKvLzGogJqhcT3KkTpVmZVBUVoc1mMtauJaB1TaaiMhgI692b9FWrcLay7Gw8Q2tSyD1CQijLyT1BTCjlufYxVSUlZG/eQnjvXgDEjRhO6rLlAKQuWUpgm/qZmI4WEBhMfm7NRMD5eTn4BQTVi2nfqTvu7h74+PrRqk0HUo4cIiAwmIDAYJq3tJazW69EjiQdqPcevfoMZPN65w9bOFuOr+pyBtWpS15+/Zh69bXGpCxezKonn2Ttiy9QVVJcnbVRWVhQPeTELSCAykLnZ4rmFlYQ7FfTBgvydSevyH6yyMFdI1m7y5oxlJFXRlZ+OVEhXnRqEUhmfhlFpVWYLZq1u7JoE1M/a2PF9gwS2p3+IdFnE+mAOMNorQuAe4AHgTLgoFLqCrBO6KSU6mr7u5XWerXW+mkgG2uDYR5wh1LK1RbTRinlDfgDmVrrKmW9RUqzY7z9X8DNSikv2/qnrbW+uyiPaC8fIjy8cFGKIeExrMxOO6l1M8tLae8XhLvBesGme1Aoh0sKOVRSyJVL5zJ2xTzGrphHVkUZd6xZQF5lxQm2eGq8WsZQkZ5NZWYuFpOJglWb8evR3i6mMjufw+9+R8xtV9rN66C1JvnzabhHhRJ6gcOHxJ60X5fsYuwrsxj7yiyWbDnMBX2sqXidmodSXFZpN/ziqPV70hnavTkAF/aNZ8kW6wRZlz49jUuf+pVLn/qVBRuTeP3HVSzZXDN51rm9WvLXWucOv4Cz6xhzRl3AemeNq5q34enNK6mwmI+3mVPy64rdXP/2HK5/ew6Ltx1mZE/b8RUXQnF5ld3wi6PW70tnaGfrV9eFPVuxePvxszNyisrJzC8hLtTa+dc7PpKDGadvmExdWmuHPIT4t/6r7YrCA/vxiojAMzQUZTQS0bcfmevX28VkbVhP1EDrb61/fDymsjIq8/Mpz8kmIL41Bjc3AII7dqS41oR8QZ06UZKaah3i4GT5u3fjEx2FV3g4ysWFmCGD652Ypq9aRdzwYYA1dd9UWkJFbi5u/v64elsvIBjc3Ajt0Z2iI9bvzvKcHEK6dAEgpFs3SlLrTWzvcHEtWpOVkUZOVgYmUxUb1iyjc7fedjGduyVwYM8OzGYzlRUVJB3YQ3hkDH7+gQQEhZCRbt0Pu3duISLKehU6M6Om7Fs3ryUs0vlXp8+W48talwN16tKXzA1167KBqAG2urSKx1RaVj28ws3P+jvrERxMeK/epK1YUbOOrf5RAweSuX6D0+uyP7WIiCAvQgM8MBoU/TqGsX6P/d2vcgrL6dTC+lXk5+1KZJAXmXnlZBdU0DraDzcX6+lxxxaB1ZNXRgTWXPTp0TqE1JzTM+n4sTgqq7KxMitlDogzkNZ6o1JqM9aZRq8DPlZKPQm4Aj8Cm4HXlVJH0yDn217bgjWNcYOy5vxnYR17+T0w2zYpyCZg1zHe90+lVDdgnVKqEut4H+ff+wewaM0HuzfxSvf+GFDMS0siqaSIi6JbADAn5SCBbu582HsoXi4uaK0ZExvPLav+ZldhHkszU/goYShmbWF/UQFzUw6djmI3SBmNRN0wioOvfwkWTeCgXnjEhJMzfzUAwcP6kPnbfEzFpaROmWlbx0D88xMp3ZNE/vKNeMRGsPeJ9wAIv+Jc/Lq1o2DddlK/mYW5qISkN6fg0SySFg/f7PT6LN+WTGLHaKY9N4bySjMvfLusetnbdw7npe+Xk11Qxgcz1vHi+MHcdnF39iTnMmvF3uNs1crd1UhCu0he+cH5aYZn0zHmrLpMbNsVV4OB/+tuvYXzzoJc3t29yal1Wb4rhcT20Ux/9FLKK0288HPNsfD2zUN56deVZBeW8f7cDbx03SBuP78be1JymbXGenwF+3rw9T0X4u3hitZw9YD2XP3GLEoqqnh95hpeuGYALi5GUnOKeP7n05TO2hAZPiEa0X+xXaEtFnZ9/TU9HnkUZTCQsngRJSkpxAyznqgnz59P9qZNhHTrxoC33sZcWcH2Tz8FoGD/fjLWrKbfSy+jzWYKkw6RvGBB9bYj+vU7benx2mJhy4cfkfjySyiDgaS//qIoKYnmF44E4NDvc8lYs4bw3r0Z8dWXmCoq2PjmW4D1KnWPBx9AGYwogyJlyRIyVlsnfdz4zrt0ueN2lNGIubKSje+86/S6GI1GLr/uVj56+zksFgt9BwwjMjqOZYust20cMOR8IqJiad+5O68+cx8Gpeg7aARRMdb+rcuvvZVvJr+N2WwiOCSc626+G4DZv35LZnoKymAgMDiUq8befswyOMrZcnxV12XK1/R4+BFbXRZb6zLUVpcFtrp07caAN9/CXFnJ9smfVq/f9d57cfXxRZtM7JzydfWdOw7Onk2Xu+8mevAQynOy2fzee06vi0Vrvv5zD49e0w2DQbFoUyop2SUM6xEFwPwNqUxfeojbR3Xg1QkJKGDqgn0UlVVRVFbF6p1ZvHxLb8wWzaGMYhZstHYMXT20FZHBXmgN2QXlfPFHg195p08jDZ1wFCVXVIST6BHzp584qgn4e9gYLl9zdtTl14Qx9Lnz68YuhkOs/uhGzqZj7GyqS8JD3zR2MRxizes3OGwq9YQ2Fzrkx3bNnt+dP727EGcm/dd11544qgk49/sf+O28808c2ARcMu9P5i07zXNtOcl5AzpwNhxj537/A39df11jF8Mhzv3ue659ccGJA5uAH54c6rDf79VPPeGwE/g+L7x02tsVkgEhhBBCOJmWu2AIIYQQwgGa+qTU0gEhhBBCOJtkGwohhBDCEZr4EAyZhFIIIYQQQgghhBBOJxkQQgghhJM19XRJIYQQQpwZmnqbQjoghBBCCCdr6o0FIYQQQpwZdBMfgiEdEEIIIYSTyR2nhBBCCOEQTfyihswBIYQQQgghhBBCCKeTDAghhBDC6Zr21QohhBBCnBlkCIYQQgghjkvmgBBCCCGEIzT1NoUMwRBCCCGEEEIIIYTTSQaEEEII4WQyCaUQQgghHEKGYAghhBDieJp6uqQQQgghzgxN/aKGDMEQQgghhBBCCCGE00kGhBBCCOF0kgEhhBBCiFOnLU27TSEdEEIIIYSTNfV0SSGEEEKcIZp4m0I6IIQQQggnOxPmgFBKBQE/Ac2BQ8CVWuu8OjEewBLAHWsb4Vet9TOnt6RCCCGEOJamngEhc0AIIYQQ/w2PAvO11q2B+bbndVUAQ7XWXYFuwPlKqb6nr4hCCCGEOJtJBoQQQgjhZJozIl1yNDDE9vcUYBHwSO0AbR0rUmx76mp7nBGFF0IIIQRNfgiGknGpwknkwBJCNHXKURvqGNPLId+JO1LW3wZMqPXSZK315JNZVymVr7UOqPU8T2sd2ECcEVgPxAMfaq0fqRsjRCOQdoUQoilzWJti0e0THPZ9OOSTyQ4r18mSDAjhNH3v+Lqxi+AQqz6+kd6vTm3sYjjE2kevoc+dXzd2MRxi9Uc3ctmq6Y1dDIeY1ncMQwc/3djFcIgFi59n4OyzY78svXhMYxehHltnwzE7HJRS/wARDSx64l+8hxnoppQKAGYopTpprbf927IK4WirNu5v7CI4RN/urfhs+trGLoZD3DqmN38v39nYxXCIEf3bM/P8Cxq7GKds9J9/sOj2CScObAKGfDKZZQ/c19jFcIgBb77T2EU4Y0gHhBBCCOFkp2sSSq318GMtU0plKKUitdZpSqlIIPME28pXSi0CzgekA0IIIYQ4AzT1EQwyCaUQQgjhbFo75nFqZgHjbH+PA2bWDVBKhdoyH1BKeQLDgV2n+sZCCCGEcBCLdtyjEUgHhBBCCPHf8CowQim1Fxhhe45SKkopNdcWEwksVEptAdYCf2ut5zRKaYUQQghx1pEhGEIIIYSTaRr/nt1a6xxgWAOvpwIjbX9vAbqf5qIJIYQQ4iSdrmGdziIdEEIIIYSTNfXxmkIIIYQ4M+hGGjrhKNIBIYQQQjhZU79aIYQQQogzRBNvU8gcEEIIIYQQQgghhHA6yYAQQgghnOxMmANCCCGEEE2fDMEQQgghxHHJHBBCCCGEcISm3qaQIRhCCCGEEEIIIYRwOsmAEEIIIZxMJqEUQgghhCNoS9NuU0gHhBBCCOFkTT1dUgghhBBniCbeppAhGEIIIYQQQgghhHA6yYAQQgghnEzugiGEEEIIR5AhGEIIIYQ4LhmCIYQQQghHaOptCumAEEIIIZxMJqEUQgghhENYmnYHhMwBIYQQQgghhBBCCKc7bgaEUioYmG97GgGYgSzb8wStdeUJ1h8CPKi1vujUiglKqRuBXlrrif/DulHAe1rry/+Hdb8G5mitfz1OTHNbTKd/u/3TuU1HUEo9rrV+2Vnbv//KBPp1jKGi0sQL3yxj95HcejGRwT68OH4wft7u7D6cw7NfL8VkttCjdQSv3TGU1OxiABZtSuLLuZtxczHy8QPn4+ZixGhQLNiYxOdzNjmrCgD0axHJA8N7YDAoZm7ez5RVO+vFPDC8B/1bRVFeZea531exOyMPN6OBydcNx9XFgIsyMH/3YSYv2wbAy6MTaRbkB4CPhyvF5VVc99WfTq3HUfdfkUBixxjKq06wX24ejL+3O7uO1OyXo9o3C+aLhy7kyS8Ws2BjEgBXD+3A6MTWaGB/Sh4vfLucSpPZafUo2rKbtO/ngMVC4ODehF40xG55/oqNZP2+BACDhxtR4y7BMy4SgOTPf6Vo0y5c/Hxo/fJ91esc/vAHKtOzATCXlmH08iT+hXucVofaJt4zkj59WlNeUcVrr8xg7960ejGXXJrAZZf3IzommEtGvUphQWn1sq7dmnPXxAtwcTFSUFDKpHu/JDY2mKeeubI6JjIqkK+/XMi0X1c6pQ4JoeHc26kLBqWYc/gQ3+/bY7c8zseHx7r2pI1/AJ/t2sGPB/ZWL/t52HmUmkxYtMasNbcuXVi97LLmLRnTohVmrVmZkc7HO7c5pfwnq6mnSzqKtCukXVGXM9sVWzat4/spn2KxWBg89DwuGn1lvZid27fwwzeTMZlN+Pr68fgzr5GTncXkj96kID8PZVCcM/R8zh15CQAzfvmORQvm4efnD8DlV4+ja/fezih+tYO7N7Ngzrdoi4XOvYfQZ8gou+Vrlsxh56YVAFgsFnIzU7jzyY9xdXXjx8kvYjaZsFjMtOmUQP8RlwGw/J9pbF27CE9vXwAGnnslLdt1c2o9AHZs3cCvP3yORVtIHDiCcy+8rF7Mnl1bmTb1C8xmMz4+ftz36EsAPP3Qrbh7eGIwGDAYjDzyzJsAJB8+wI/ffEJVVSUGg5Grxt5G85ZtnF6XsJ496XzH7WAwcPjPP9n78y/1YjrfcTthvXtjrqhg45tvUrBvf81Cg4HB771HeU42q595FoAOt4wnok8fLCYTpalpbHjrLUwlJU6vS1CHjsRfeRXKYCBt+TIOz7NvX3qFR9B23Dh8Y+M4OOs3jvz9NwDugYG0u/Fm3Pz8QGtSly0hZcECAEJ79KT5RRfjFRHBhldfoehwktPrARDQth0tLxmDMigyVq8iecF8u+WeYWG0vupafGJiSPrjd1IWLbTfgFJ0m/QAlQUF7PjiMwDajh2HZ2gYAC6enpjKytj01uunpT4NaepZlcftgNBa5wDdAJRSzwLFWus3nF8sx9JapwL/upEgGvQ44JSGQr+O0cSG+XHFM9Pp2CKUh6/px/jXfq8Xd9elPZm6YAf/rDvIw9f0Y1T/1kxfshuATfsyePAj+y+aSpOZie/Mo6zChNGgmPzgSFZuT2H7wax623YEg1I8fG5PJv64kIyiMqbceC5L9qZwMKewOiaxZSRxgb6M+XQOnaKCefS8Xtz0zd9Umi3cMXUBZVXWsn5+/XBWHEhjW2oOj89cUb3+fUO7U1xx3Ha6wyTa9svlz06nU/NQHr66H+Nfr79fJl7Skx8X7ODv9Qd55Jp+jEpszfSl1v1iUIqJl/Ri9Y7U6vhQfy+uGtKeq1/4jYoqMy+NH8yIXi34fdU+p9RDWyykfjOLFg+PxyXIjwPPfohv9/Z4RIdXx7iFBtHy8QkYvT0p2ryb1K+m0+qZuwAIHNCT4OH9SJ5s38CIu+va6r/Tpv6O0dPDKeWvq0+f1kTHBDP2undp3yGG++6/mLvumFwvbtu2w6xcuYe337nJ7nVvHw/unXQRjz70LZmZBQQEeANw5EgOE275GACDQfHzrw+ybOkOp9TBANzfuSuTVi0jq6yMzwaew/L0NA4VF1XHFFZW8e62LQyMjGxwG/euXEpBpf1noXtwCAMiorhx8XyqLBYC3NydUv5/QyahtJJ2hWiAU9oVFouZb778iIefeImg4BCeffw+uvfsS3RMXHVMSUkx33z5IQ8+9gLBIWEUFuQDYDQauWbsLTRvEU9ZWSnPPHYPHbv0qF73vJGXMPLi+ifOzmCxWPhn1hSuGP8ovn5BfPfh07Rq35OQ8OjqmIRBF5EwyNont3/nBtYt+xNPLx+01lx5y+O4uXtgNpuY+skLtGjblai4eAB69j+f3oMuPC31sNbFzM/ffcrEB54jICiY159/iM7dEoiMjq2OKS0t5udvP+XO+58hKDiUosJ8u23c+/CL+Pj62b322y9TuGDUVXTs0pPtW9bx2y9TuO+Rl5xbGYOBLnfdxYrHH6csO5vB771L+qrVFB0+XB0S1rs33lFRzL95PIHt2tF14kSW3DepenmrS0ZTfOQwLl5e1a9lbdjIzi+/QlssdLj5ZtpcdRU7vvzSuXVRitbXXMvmd9+mIi+Pno89TvaWzZSm1VzUqCotYd9PPxLSrbvdqtpsYf+vv1B85DBGd3d6Pv4keTt3UpqWRklqCts+/Zi2113v3PLXqUurMZez7dOPqSzIp9t995OzfRtlGRnVIabSUg78No3gTp0b3ETUwMGUZmTg4lHTntv97ZTqv1tcPBpTebnz6nAS9H9tCIZSqqdSarFSar1Sap5SKtL2erxS6h+l1Gal1AalVCvbKj5KqV+VUruUUt8rpZQt/pBS6jlb7FalVDvb60FKqd+UUluUUquUUl0aKEMzpdR8W8x8pVSc7fVWtnXWKqWeV0oV215vrpTaZvvbqJR6w/aeW5RSd9tef9q23jal1OSj5TzB/8NmpdRK4K5arxuVUq/btrVFKXWb7fWflFIja8V9rZS67Fjxdd7LQyn1la3MG5VS59hev1EpNVMp9adSardS6pla9d2llPrcVp/vlVLDlVLLlVJ7lVIJtjhvpdSXtvfeqJQaXWu7023b3auUes32+quAp1Jqk1Lq+xMcKv/aoK5xzF1l7RnefjALHy83gv0868X1ahvJwg2HAJi7ah+DusbVi6mrrMIEgIvRgIvR4NT753aMDOJIXjEpBSWYLBb+3nGYwa1j7GIGt47h922HANiWmoOvuxvB3tYvurIqW1kNBlwMhgaLOrxdLPN2nJ6e5EFd4vhjtXW/bDuUhe9x9suCjYcA+H3VPgbX2i9XDmnPwo1J5BbZf2EbjQbcXa2ZKR5uLmTXujrvaGUHjuAeHoxbWBAGFxf8+3SlaIN9ZopX62YYva1184qPoyq3ptPIu10LjN5eHIvWmoI1W/Hv29U5FagjcUA7/p63CYCdO5Lx8fEgKMinXty+velkpOfXe33Y8M4sW7KTzMwCAPLz619h6dGjJampeWRkFDi07Ee1DwwipaSEtNJSTFozPzWZARH2HQ35lRXsKsjD9C9+bC9p3pLv9u2myjZLdH5lhUPLLRxL2hV2/w/SrnCQA/v2EB4RRVh4JC4urvRJHMSGdfaZXKuWL6JnQiLBIdYrm37+AQAEBAbRvIX1JN3T04uo6DjycrMdWbyTln5kP4HB4QQEhWF0caFd177s37n+mPE7N6+kfdd+ACilcHO3ti0sZjMWi4njHoROdujAXkLCIgkJi8DFxZUefQawZdNqu5h1q5bQtWc/goJDAfD1VTo2ggAAOV9JREFUCziJLSvKy8sAKCstxT8gyMElry+wbRtK0lL5//buO7yqKm3j8O9NgIQOoXdExQYICoiKoig27BWdQWyDimUcHXv5LGMf29jG3tuMDcdeGAsyICqKoiiiNKmhtwRI3u+PtUMOIUCAJHuf8NzXlYvknJ2wdk7ZT1Z517KZM/FVq/j9k09ovnuvNY5psXsvpn4UBsXmjx9P9Tp1yMppCEB248Y069GTye++t8b3zPn669U7HMwfP57sxo0r/Fzqtd+K5bNnk5ebixcUMHv0aBp3WTPLrFy8mMWTJ+MFa85SXbFoIUumhk6Xgvx8ls2cQVaDBgAsmzlzjT/8K0Pdtu3Im5tL/ry5eEEBc8aModFOa3Y0rFyyhCVTp+IFaw8M1Khfn5wdd2TWqJHr/D8ad+3KnDHrfg3Khm1sB4QB9wLHuvuuwONAURfjc8D97r4zsAdQ1G3WDbgA2BHoAOyZ8vNy3X0X4EHgr9Ft1wFj3L0LoVf86VLacR/wdHTMc8A/otvvAe5x9x7A9FK+D2AwsBXQLeX7Ae5z9x7R1MSawIamdz4BnO/uu5e4/XRgYdSGHsCfzGwr4EXgBAAzqwHsB7y9nuNTnQPg7p2BE4GnzKyoW64n8AfCiNJxZtY9un2b6PfRBdgeOAnoTfg9XxEdcyUwLPq/9wVuN7Pa0X1do/Z2Bk4wszbufhmw3N27uvsfNvD72WhNGtRi9vziP4Jmz19KkwZr/sFXv3YWi5etoCD6Y2T2gjWP6bxVE5658nDuOnd/tmrRYPXtGWY8fcXhvHPbAL74cTrjJlVckGhStxazFhf/IT1r8TKa1K1Z4piazFqccq6Ll9G0bq3VbX3u1IN4//yjGDVpJuNmzF3je7u1acLcpXlMnb+kws5hjbY2qMWszXhcmtSvRZ+ubVfPhigyZ+Eynvvwe4b+7TjeuvkElixfwagf1/Wy3Xwr5y+iek791V9Xy6nHyvnr/sN6/iejqdul7FM4l/00iWr16pDVvOLDAkDjxvVWdx4AzJmziMZN6q3nO9bUpnVj6tTN5s67T+WfD59FvwPX7jjZd7/ODPtobLm0tzRNsrOZvXz56q/n5C2ncfbanVvr4sCdvXrz6F77cljb9qtvb1O7DjvnNOah3vtw7x57sX39huXY6k3j7uXyUQUpVxRTrihH8+fNJadR8ftxTk5j5s9b83o6c8bvLFu6hJuvu5RrLj+f4Z9+VPLHMGf2LCZPmsjW22y/+raP3vsPV14yhEf/eRdLU2ZsVYTFi+ZTt37xH9R16uWweOH8Uo9duSKfST+PZdtOxUtCCgsLeeofV/DAjUNot01nWkSzHwDG/O8Dnrznct59+WHyllf8NP+FC+bRMKf4MWnYsBEL56+5pHP2zOksW7qEu2+9kluvu5BRnxdPjzcz7rvjWm697kKGf1z8h/uxJ57O6/96kqsuOp3X/vUkRxwzsMLPJbtRY5bPKZ5Juzw3l+xGjUoc04jlc4rz5vI5udSMnpOdzzyTcY89tt6p9G0POIDZX44u55avLathA/JTHof8BQvIarjx183sRo2o06Yti377rTybt1Fq1K9P/oLi10f+wgXUqF9/Pd+xpg5HHMVvb76xzoHKeh06sGLxYvJy4+mQXM29/D5isLEdEFlAJ+ADM/sGuApobWZ1gVbu/hqAu+e5e9FfYF+4+zQPr7BvgPYpP+/V6N+vUm7vDTwT/ZxhQCMzK/nM2R14Pvr8meh7im4vmh/9PKXbH/inu6+K/o+iV9y+ZjbKzL4D+gI7reuXELWngbt/ktKGIgcAJ0e/n1FAI2Bb4B2gr5llAQcDn7r78vUcnyr1dzIemAwU/WX0gbvPjX7Wqym/i9/c/bvo9z4O+MhDev2O4t/1AcBl0f/9MZANFA1bf+TuC909D/gBaLeu30fK72WwmX1pZl8+/PDaU8E3+P2l3FbyZVHa+FHRa2f81LkcedXLDLzxDf713x+57ay+q48pdOfkm97g8Cv+zY7tG9OhZYONbl9Zlek8SjsmOpFCd/7wxLv0v38oO7VoxNaN13z6H7BDO97/cUopP6FilDpm5xs+puhx+ctxPbn/ta8oLPEmV7dmDfbu0pajrnmZ/pe/RM2s6hzUs0P5NLo0pb3HrmNAcsmPE5n/6Zc0O+GgMv/4hSO/pUElzX6AEMRK2pg/UDMzM+jYsSVXXPYsl1z8NANP3ofWrYvDU7Vqmeyxx3Z88vG4cmlv6TZvLG7I8E84/dNh/HXUCI5u34Gdc0L7M82oW706Zw7/mAd++J7ruvcsj8ZuFvfCcvmogpQrUK5Yz+9lk3OFl/KmX/J9s6CggEm//sKFl17HxZffwBuvvsDM6dNW35+Xt5x777qRPwwaTM1omnzffv25/R+PccMt99GgQQ4vPPvoRrVr45V2HqUfOXH8GFq260jNWsWz4TIyMhh0/k2cedk/mDltInNmTgWg6277c8bFdzLovBupXbcBH79V7hNb11LqNarEuRQWFjJ18kTOvuBqzrnwWt79z7+YNfN3AP5y+S1cdu2dDPnLNXw27B1++Slcnz7777scPeA0/nbHYxwz4DSee+K+Cj6TsmWj0g5yd5r17En+ggUs/GXdS047DhiAFxQwbdh/13lM+dm8PAGQmZXFToPP4pd/vURBzMsT1la2c2m4w46sXLKEpdOmrfOYJt12JXfM1+XVsE3mhYXl9hGHjd2G04BxJXvnzWx9w26pc18LSvyf+aXcXpaX9Mben8pKHh/1+j9AKEY11cK61PUt5F7rZ5S47zx3f2+tO8w+Bg4kjAC8sL7jLRSLSv2Z61KyHUVfp/7eC1O+LmTN3/Ux7r7G0LSZ7cb6H7fSG+L+MFCUEPzxs5/c0LdwTJ/tOWLPkHl+nJxL04a1V9/XtGFtchesOSV/wZJ86taqQWaGUVDoNG1Qe/W0/WV5K1cf979xv1MtM4P6tbNYuLT4VJYsX8HXE2bSa8dW/Dp9wQbbtylmL15Gs7rFMwSa1a1F7uLlJY5ZTrO6tYHQg9q0bi3mLFnzmCX5K/lqymx279CCiblhpDvTjH23a8PJT1Zs8clj9y5+XH6YnEuzEo/LnIVlf1x2aNuIG07vA0CD2lns0akVqwqdahnG9LmLWbAkPD7//WYynTs05d0vfq2Qc6qeU4+V84pnDKyat4jqDdZ+68qbMoPfH3uV9n89hWp1aq91f2m8oICFX41jm+s2upbdRjniyJ70P3RXAH766XeaNi3+G6pJk3rMzS37SNycOYtYuHAZeXkryctbydhvJ7H1Ns2ZNi2MEPbcbVsmTJjB/PkVNyo2J285TWsWz3hokl2T3Lzl6/mONc3NDyFnwYp8Pp05gx0a5PDtvLnMycvjk5lhsPrHBfNxdxrUqMGCFZVTN0U2inLFOn5GifuUK8BHjpm4vsPXkJPTmHlzi0cp583LpUHDNafm5zRqTN269cjKziYrO5vttu/ElCm/0bxla1atWsW9d97IHr33oXvP4kk29RsUjwz36XsQd912bZnbtCnq1sth8cLi0ekli+ZRp17po9PjU5ZflJRdszZtttqBST+PpUnzNtSuW3z96NJzX1596o7ybXgpGjRstMZSlvnz5661XKJBw0bUrlOXrKxssrKy2abjjvw+dRLNmrda/fjVrdeALrvsxqTfJrDNdjsxasR/OfakMwDo1mNPnn/y/go/l+W5udRs0mT11zUbNyavxAybvNxcajYpnvFRs0k4puVevWneqxfNevYgo3p1qtWqxS6XXMzXt4Wihm32359mu/VkxGWXV/h5AOTPn09Wymsjq0EDVixYUObvt4xMdhp8FrO+GEXuN2MqoIVlt2LhQrJSXqNZ9RuwYuGi9XxHsXpbdSBnp0403GFHMqpVIzM7m44n/ZGfn382HJCRQaPOXfjmrrQrW5Q4GzsDIh9oYma7A5hZdTPbyd0XAdPM7Mjo9iwzW/di6fX7lDD1r6jadW7081ONAAZEn/8BGB59PhIoqgo0gNK9D5xlZtWi/yOH4lCQa2Z12EBhKXdfACw0s6JRgdRpg+8BZ5tZ9ejnd0yZfvgicCqwV3Tcho4vkvo76UgYTSi6uPezsL61JnAk8Pn62l7Ce8B5ZqvXz3bbwPEAK4vaWh5e+WQ8J9/0Biff9AaffDuFQ3qFJb47bdWEJctXMHfR2n+MfPXTTPbdpT0Ah/Tahs++DbMBclLqEuzYrjFmsHBpPg3qZFGnZg0Asqpn0mP7lkyeWTFr2gF+mDGPtjl1aVm/NtUyMui3Y1s+/WXN3tRPf/md/p3COXRq2Ygl+SuZuzSPBjWzqJMVfr1Z1TLp2b4Zk1KKV/Zs35zJcxcxe3HZ/0jbFC9/Op6BN7/BwJvf4NOxUzh4t/C4dGq/nsfl55n07RbOqX+vbfh0bHhcjrrmFY66+mWOuvplho2ZzO0vjuTTb6cwa/5SOrVvQlb1TAB6bNeCSaXUKigvNbdqTf6sXFbMmUfhqlUsHPUtdbvtsMYxK+YuYMq9z9LmzOPJat5kHT9pbUvG/UJWiyZrLPGoCENf/4LBZzzI4DMeZPhn4+l3YFcAdtixNUuX5jFvXtmX5Xz++Y907tKOjMwMsrKqs8MOrZk8uXg6ad/9OjPso+/K+xTWMH7BfFrXrkOLmrWoZsZ+LVszfObaO3mUJjszk5qZ1VZ/3qNJU35dHF4rn82czq6Nw+PXpnYdqmVkxN75oCUY66RcgXJFeeaKIltt3ZFZM6czZ/ZMVq1ayagRn9Jt1zXX6O/SvRc/jx9HQUEB+fl5TPzlJ1q2aoO789hDd9OyVRsO6n/0Gt+zIGWq+lejR9C6zQYncmyW5q07MD93JgvmzaZg1SrGfzuSrXfYZa3j8vOWMe238Wy9Y/F9y5YsWr20YuXKFUye+D05TVoCsGRR8TT1CeO+pHGzNWtVVYR2W23LnFkzyJ0zi1WrVvL1qOF06brmDLUu3XoyccIPFBQUsCI/n0m/TaB5i9bk5+eRFy3Zy8/PY/y4b2jZKkyuqd8ghwk/hZ2Ofv5xLE2alV60uDwt+OlnardsSa1mzbBq1WjVpw8zR65ZN2DmyJG02W8/ABpuvz0rly4lf958fnziSd4fOJAPBp3Cl7fcQu63367ufGi6665se9xxjLr2OgryK6d+0eLJk6jZtCnZjRphmZk07dGD3LHflvn7tzv5ZJbNnMG0jz6swFaWzeKpU6jZuDFZOTlYZiZNunVj3riy7YI1+e03GX3DtXx54/X89OzTLPxlQnHnA9Bg244snz2LFQsr7m+IsvJCL7ePOGzsDIhCwkX0H9F0wWrA3YSpeAOBh8zsemAlcNwmtula4AkzGwssAwaVcsz5wONmdjFh+66i8u4XAM+a2UXAW0Bpz5BHCdMMx5rZSuARd7/PzB4hTCOcBJRlwdWpURuWUXzRL/r57YGvowvwHMIFHEJIeRp4w4u3Glvf8UUeAP4ZTeNcBZzi7vnR9X04YRrlNsDz7v5liVGO9bmB8PiNjf7vSWx4jerD0fFfl/d6zRHfT2OPTq14+fqjyVtRwN+eHr76vjvP2Z+bnv2c3IXLuf/1L7nh9D6ceVg3fp46jzdGhG35+nZrx9F7b0dBoZO/soCrHwszWRvXr8XVg3qTaYZlGB99NYnPv1/39KrNVeDObe9/yT9O2IdMM94Y+yu/5i7i6K5h3eWr3/zC5xOns2eHFrx25qHkrSzg+rdDEabGdWpy7aG9yDAjw+DD8VMYPrF42fEBO7attOKTRT7/fhp77NSKV64Lj8sNzxQ/LncN2Z8bnwuPy32vfcnfih6XacWPy7qMm5TLsDGTefrywykoLOTnqfN4ffjP6/2ezWGZmbQceDiTbn8cL3Qa7t2d7NbNmDcs/O5z+u7GnNc/YtWSZUx/emj4poyM1bMapj7wAkvH/8aqJUsZf8HNND1qf3L6hHW2C0eNrdTlFwCjRv7Mbr225dnnLwjbcN7y2ur7br71j/z9tqHMnbuYo47ZjQEDepOTU4dHHx/CqJETuOP2oUyZnMvoLybw6OND8ELn7be+ZtJvswHIyqrOrt235q473qjQcyhw567vv+GOXnuSYcZbUyczaclijmgXlqsPnfwbOVlZPLJXX2pXq0YhznEdtmHgxx9Qv0YNbuoe/pjIzMjgg9+n8sWcUOzqrSmTuLzrrjzVZz9WuXNTAopFlTYdXADlilTKFeWYKzIzMxl46tncftNVFBYWsve+B9C6TTuGfRB2cerbrz8tW7Wlc9ddueqSIZhl0KfvgbRu056fx49jxGfDaN22PVdfGq4BRdttvvTcY0yZ/CuY0bhJM04947zyanKpMjIz2e/wQbzy+G0UeiGdu/ehcbPWfDMq1Kvoulv4A3fCuC9pt21natQonmizdPEC3vn3QxR6Ie7Odp13Y+sdQp/Qp++8yOwZk8GM+g0b0+/I0yr0PCA8Jsf/8U/cf+d1eGEBvXrvT4tWbfnsv2FW5177HkTzlm3YsdMu3HzNn7GMDPbYa39atm5H7uyZPHLfLQAUFBbQfbe92bFz6Gw5adAQXn7hUQoLCqlWvTonDhpS4efihYWMfeBBdr/xb1hGJlPef5/Fk6fQ/pBQF3bS228z64vRNOvRg/0ff5yC/DzG3HnXBn9u53OGkFm9OnvcFErhzBs/nrH3VuySEi8sZMJLL9Dl/AvCNpwjPmfZjBm03GtvAKZ/9ik16tVj18uvJDM7G9xp3Xd/vrju/6jTqjXNe+3OkmnT6H7l1QD8OvQ15n3/PY27dmXbE06kep06dD73PJZMncrYe++p0HOhsJCJr75Cp8FngWUw64tRLJs1k+a77wHAzP+NoHrdunS94KLV59Jyrz58fdvNG+zwadJtF+YkYPkFpP82nFaVRlSi0ZHl7u5mNgA40d2PiLtdFcU2Yw/zSuC9yrAEIx2MfPAUetzywoYPTAOjLzuR3YY8GXczysWoB07hmJGvbvjANPBKr6Pp2+eauJtRLoZ9cj17/adqPC6fHXZ0uRWMb1GvWblcbGcsmhVnEfstjnJFomzUEowk69Vtax55teKLC1aGPx3dgw8+/3HDB6aBfnvuwNCDDo67GZvtiHff4eOzBsfdjHKxzz8fZvhFF8TdjHLR+467y+36/Z/+h5bbH/CHvfVmpeeKjZ0BkXS7AvdFve4LgIrvzhUREZGqSrlCRESkHFWpDgh3/wyo3HnQMXL3J4EnY26GiIhsQFWabbglUa4QEZGkSfdMUaU6IERERJIo3ddrioiISDLEtX1mednYXTBERERERERERDaaZkCIiIhUsHSfLikiIiLJkO6ZQh0QIiIiFUxLMERERKRcFKZ3B4SWYIiIiIiIiIhIhdMMCBERkQrmpPdohYiIiCRDuhehVAeEiIhIBdMSDBERESkPqgEhIiIi65XuYUFERESSwVUDQkRERERERERk/TQDQkREpIJpCYaIiIiUizTPFOqAEBERqWAqQikiIiLlQUswREREREREREQ2QDMgREREKpiKUIqIiEh5SPcZEOqAEBERqWBJqAFhZjnAS0B7YBJwvLvPX8exmcCXwO/ufmhltVFERETWLwmZYnNoCYaIiMiW4TLgI3ffFvgo+npd/gz8WCmtEhERkS2GOiBEREQqWCFeLh+b6Qjgqejzp4AjSzvIzFoD/YFHN/c/FBERkXJW6OX3EQPTulRJZ2Y22N0fjrsd5aGqnEtVOQ/QuSRVVTqXjWVmg4HBKTc9XNbfhZktcPcGKV/Pd/eGpRz3MnAzUBf4q5ZgyJaiKr236FySSeeSTFXpXNKBZkBIuhu84UPSRlU5l6pyHqBzSaqqdC4bxd0fdvfuKR9rBCYz+9DMvi/l44iy/HwzOxSY7e5fVcgJiCRbVXpv0bkkk84lmarSuSSeilCKiIhUEe6+/7ruM7NZZtbC3WeYWQtgdimH7QkcbmaHANlAPTN71t3/WEFNFhERkS2IZkCIiIhsGd4ABkWfDwKGljzA3S9399bu3h4YAAxT54OIiIiUF3VASLqrSuu1qsq5VJXzAJ1LUlWlc6lMtwD9zGwC0C/6GjNraWZvx9oykWSoSu8tOpdk0rkkU1U6l8RTEUoRERERERERqXCaASEiIiIiIiIiFU4dECIiIiIiIiJS4dQBISLlxsxqRP9a3G3ZHOnefhERkapAuUKk6lEHhKQ9M9PzOGYWbA98bmat3d3T9WJrZuZRcRwzaxt3ezZXuj4OZVGVz01E4qNcET/liuRK18dhQ6rqeSWR3mAl7RS9QZjZHmbW3N0L427TpjKzbDNrHH3e0syy427TpvBgPPA/4Ekza5GuYSElJJwHXGZmTWNu0iYrEXqapHOoTn0uRa+bDFcVZREpB8oVyaNckUxVJVcoU8QrLZ80smWLLkCHAo8BOxXdnm4XpehNe2dgkJmdA9wO1Iu3VZsm5QL0L6AFMMzMWqZrWDCzQcAfgevdfbaZ1Y27TZsiJSRcBFwPNIy3RZsu5VwuBO4GXjezLrE2SkSqBOWK5FGuSKaqkiuUKeKlDghJO2bWDrgJONrdPzKzrc1sh3TruYxGWH4H9gT+D/gguiil3YXV3QvN7GzgWuA84CfgvXQJC6W0bxfgSaCmmV0CvGRmj1R6w8qBmf0JOAK41t3nmlmtojW16SYKcIcA5wIdgdNS7kv0c0xEkku5InmUK5KrquQKZYr4qANC0lE28CuwnZndDfyT0DO+X6yt2ghFPfvuPg0YC7wP7GBmXVJ6ZdPt9dkNeMrdh7n7kcDnhMeldZJDXInphD3NrBbwGuGC9CCwArgVqG1mzeNr6SbbmhB6WkY9/S8CV5tZnVhbVQalBICahFA9BPgNuNjMMs2sRpKfYyKSeMoVyaRckUxpmSuUKZIj3d6IZAuUsjazjZlluvtPwNfAscBn7t4PuBPYO8ZmlklKQCg0sy5mti3hInQW4YI02MyaRqMxByQ1LKyjZ/h3oHXK1xcS3tzvNbPMSmnYJkgJCRcA9wEN3f1joC9whLvfTZhiuB2QH08ry6bEmsZa0affAwcB9wDLgDdIgym5qesxzexcM7uF8EfCjUAf4HB3XwlcCtwQX0tFJN0oVySPckUyVZVcoUyRLNXiboDIhkRT7Q4GHgA+NrMfgFvdPR/AzHYDBhGm6CWWmbUGjjOzewkXoaeBD4H2wNHAvYTe8SeBLsCJSSyEVaJn/wjAgIXAc4Q1dFOBj4BewPPAQ+5eEFd7yyI6jz8Afd19sZltR3jqzTKzgcDlwPHuPj/Whm5AyuMyhDCSNxt4C/gYWODuS8zsSML03GxgSUxN3aCi5340AtkXOIGwDngQYbSljZntDhwPnBhXO0Uk/ShXJItyRXJVlVyhTJEsphkmknRmtgvhjeJdoDqh17WQUPymCeGN4zp3fzO2RpaBmW0FvECYFlkX+Le7jzCzvwH9gQOjtZr7A3nuPjzG5m6QmZ0JnEMIA+cClwE/ANcAy4EdgROiKtaJkhp2oq/7AAcC8wmPzRGEHv4nCKMTM919QhxtLauod7/QzE4GziBcQMcCt7v7LdHIxTHAFcCx7j4uxuauk5l1Aga6+6Vm1owwOtEb6OXuC8ysN2Fkr5AwgnS5u38fX4tFJN0oVySTckWyVIVcoUyRTOqAkMSKptfVBiYDo939ADOrDnQn9OzXAC4CWrj71JJv/kkSTfEsMLP2hBGJ+sBf3P2r6P7rgZMIPeVT4mvphkXT8XIIlakvcvdvzGxr4D3CRejfhMetprvPia+lpSsx0tKWEGoaEp5TuwN3EaZ9ng286e7D4mprWUQ99vPc/ScLRaCuBV4FOhHCQn93XxWtzewNTHD3ibE1eD3MbA9gOrAIaOfuY6LwcBUwEbjD3eeZWX13X2hmdd19cZxtFpH0oVyRTMoVyVJVcoUyRXIlch2YbNmK1pu5e4G7LyL0IPcys8HR+qxRhPVmGcDW7j41Oj6RIQHCuZhZR8K0wjMIUwsPMbOG0f3XEC687eJr5bqlrgGMfs/zgClAraiHfCJh1OLg6JglSQwJsMZ0wksIazOfB/YjbL92VLROsxOwD+Eck64PMNTMOrr7CkLI+TthlOjAKCRcSZjq+W4SQwKAmR0AvAQ0BhYAN5vZv6KRiNuBOsAFZpbj7gsBFBREpCyUK5JHuSLR0j5XKFMkmzogJFGKepHNbE8zu8rMBgA/A3sAt5rZn6J1XJ8DV3soHJVYRRdYM+sBXEeotmuE6V67A0PMrBGAu1/h7p+lXpSToETPfudoHaMRtsS6mDBdFaAVoThUIt9XUn+vFvZ738/dDwcWA3sBuUCN6L5LgEHu/kssjS0DKy48dgswFHjKzFoBwwnrMB82sxwzO45QWO1/sTV2A8zsMOBvhCmcXxJGuk4H8s3siWhE7ynCc+yspL1GRCS5lCuUKyqKckUyc4UyRfJpCYYkTtRr+SDhzaEjkEeYvpYJjAGGuPtD8bVw45jZQYSA8D6h8M0IQuGrVYRe8mHAje6+KrZGlqLk1FMzOxf4EzABaE5Yz3gF4TFaFP17ahLXzpUIO1lA1+ijIWFE4nB3X2FhPe1iIMPdZ8fT2o1jYT/uToQCUPmE9Zi7AEcRqodnEqa0fhdbI9cjmt75NpDl7nuZWRPgWcKUz/HAI8BCdz/dzLoCM9x9VlztFZH0o1yRDMoVyhUVTZkiPagDQhLHzK4DvnX3Vy1sG9UP6Ojul1goFlPL3d+Pt5VlY2bZhP3EX3b3N82sG2FNZh1CUaVsoLm7j46xmaUys6ZFF0sz604Ib0e4+3Qzux3oSZjG2p4wxW2qu0+Oq71lYWaDCYXHbgOuBJYSzmmFmf2FEBqO96gSehKZWUOPqmZHr4fHgX0JPfzHAIcDR3qotN0IKHD3BXG1tyzMrCVwP2HLuBbAc0V/DJhZDqEg3AR3Pye+VopIulKuSAblimSqarlCmSL5EjmlSbYsKdMJ60Q31QD+GK0BnAyMBrqbWTN3H+7u76fDdKmo/XmECsgHmll1dx8DvEMo2jMYmO/uo5N2PmbWHHjSzI6PbpoJ/Ei4sOLuFxPWBJ7r7uOjxyXpIeFg4FDgOHd/j1BZezww0ML2UqcCVyQ8JHQETo5GWyA8HiPc/XfgV0IhsrnAMDPbxt3nJjEklHy+u/t0YAhh5KhOSlCo4e7zCOHu5kpvqIikJeUK5YrKoFyRDMoU6UcdEBKrlLWZhwN/j3omHyRchC6LDltOmO5Vo+j7UqfwJVE0IvFMFH5eIkxhOyG6ewqh+u4BhOl6iTofC9sULSVs7XWSmR1NWMfYkrCtV5HvCL3LiWRm9VM+70hofz/CPuIAlxIurh0JW3sN8ARuIVXEwnZX04FngG3NbC9C+/cws/PcfZW7LwE+JUzHTfIe6fWheL0pgLvPIOzH/buZPRTdtsJCpff57j4tnqaKSDpRrlCuqCjKFYnNFcoUaUZLMCR2ZtYPuBU4x93/Z2Y1CRV4jye8idcBrnf3V2Ns5kaJemM/AH4hrDs7iHCRaklY53gwoSDORHd/Mp5Wrs1CoaRrCFMgCwntHEQo5jMfeA74kFAsaj/gJHf/MZ7WrpuZVQMGAvUIIacH4Tk2kDAd8iZ3H27Fe1xXS9pa2VTRGtIrgMfcfaSZ/Z0QnO8jhOiXCWseZwFHAkcnda2phYJW7wPnufuwUtYEtyD8sbDM3U+Kq50ikr6UK5QryptyRTJzhTJFelIHhMTOzG4GZhB69PcnhIRfgXsI6wCXufvkkm8qSWRmHQjTvcZGYeF1YDahqvMKwgXrN6ADoRDOwZ6QisgWilpdSbiIvpMyinQS4QJ7HWGUZV+gLfCKu/8cX4vXz8JWZGOAWoRt1RZHF6KjCaHtLnf/JDo20c8tCxXCjyOsZbyXEH7OJYToJwlbTJ0NVAOe9QQWhoI1RiZPAc4j/HEwspTA0Aq4g7Cn/YyYmisiaUq5QrmiIihXJIsyRfpSB4RUulLeGI4njEpsBbxC6HltStgOa0EsjdxIUSioT+jlXw684FHVZjMbA8wh9B4vid70/0GoIJyIys7RFNVcQhtfN7NtgKsJb+gGHEIocvWYu78eW0M3IPW5ZaHy8d2E59W77n59dHtD4GTClMnT3H15TM3doKKRlOjzNoTA1o5wXrOBPxMKjr3o7l/H1c6yKPHY7AOcD2wDnOXuI0p5X8h096RO9xSRBFGuUK6oKMoVyaRMkd7UASGVKqW3si9hymC+u78STQXLdPdfLKxzfAo4yt0nxtrgDSjlDW4H4DRgIfAfd//WzE4AridUEP4xOm51xeGkMLP+wA3AKYTtyd5097ui++oQ9nw+iLBl1pKk9eyXuBj9mbDe902gLvBvYLS7X2yhwnM28IW7L4qtwRtQ4nwOJay/bEB4HLamOCxcASwBbkly6CliYdu1EwkjkXsQtpA7190/TQ1GIiJloVyhXFFRlCuSnyuUKdKTOiCk0kUXpFuJ1p4B96b0Ih9EeBO50N3fiq+VG5YSeg4m7I2cRbjA5hHWYdYmTIvcD7jS3b9Keg9s9Pt/m1C1+RYzywQKo/OsQ3jPWBxvK9cvuhgNJKwjnRjdtg0hfOYR1m8e6wmvrl3EzC4khINT3P3naDruAMJe3EWF1TLdfU6MzVynaGSug7u/E319DzDUw1rNDOAswuvlz+4+PMamikiaUq5QrqhIyhXJoUxRNWgXDKlUFiohX0jYVxjChfRcM7sr+roGMDjpIQFChWkLFYNvJlxcvwVeJWz7czvwFWFP63+4+1fR9yQ2JAC4+7uEQlGnmFn9qL3VovuWpEFIqENY7zsEWGhmg8zsRsLU24OAocCJSQ4JZtYqOg/MrBchJPSJQsIu0WEPELbFOo0wapS4kACrpxAfBRwahVCAmsAfAaKRiWHAMuAWM6sZfY+ISJkoVyhXVCTliuRQpqg6NANCKp2ZtQVygCfdvWs0NfIrQkXqa2Nt3EaIevGPAHb3sH810bTI24E93X1q0chEySmVSReNvtxNOLd5MTenzMwsG7iJUMwqC5gANAZ+TYfnlpm1BC4n7I3+FLATYeTuAUKhsS7Rv90J03Hz3X1uPK1dPzPrROjknkmoeN4KeJFwbm8Do9z9wug10wm4z91nxdVeEUlfyhXJp1wRj6qSK5QpqhbNgJAKVdTzaGZdzWwfM2vj7lMIFYRHRYdlE4onjYipmRvNzA4kVNeuDzQxs4woFLwEvEVYH7h6ZCKdQgJANLXtEuDD6NzSogfZ3fMIVcAfBs529wsJ23v1TIeecHefTnhddACOc/cvgI8I021fd/d9gPuB7u4+PYkhAcDMWgPbEqrQLya8vmcQCo51JlQM72lm/yJsJ/eigoKIlIVyhXJFZVKuiJ8yRdWjGRBS4aJpUncBzwKXEiofryRMmZwN9Cesq1tr65wkSVmbuSNwI3CZu/9kZp8Cwwl7WecAjwLHeEIqUW8OM6vj7kvibkdJFipOt3L3781sV2C6l9hayYr37P4r4aL7QwxNLbOU59dAQvX2tsAtwEteXLH6JOAq4DBPaCE1M9saOAN4nLDn+82ELb6+JFSpbknY0mu0mdUCaiYx8IhIcilXpC/lispTFXKFMkXVVC3uBkjVFfUKtyC8QfQH2hB6K39w93lmdhthP+7X3H0kJLNHPyW8ZAAFwAnAbkCj6JBjgTuBC4AdCYWu0j4kQFifGXcbSoqeV+2Ao8zsMsI6zCNLObQp4Tl3rEdVwpMsCgknErbAGgicCuwJ1DazFwi9/JcTQk/iQkKKasCuwA/A88BIwvZkBYRRi3OAs82snrt/RFirKSKyQcoV6U+5ovJUkVyhTFEFaQaElLuSow1mdhFhauRhhEI9Ey3s0T3M3XPjamdZmFlHwpt2fcK+1TdGd11KKHxzv7t/F60RLAByNO2r4lkopvQIcDBhX/d7o9tLPvequ/vKmJq50czsGkJ18L9ZqOZ8JiFcP0MYAWuY1J59C1vezXP3hWbWj7A28xDgO0JF6q6Ec/gGGIymSIpIGSlX6L2yoilXJIsyRdWmGhBSrlKme+1jZseZWRahh/VkwvTBiRYq7v4fsFWsjd0AC1v9vArMAyYSXi9fEaZ73UWY5nmGmXVx97zogjQ7rvZWdanrLKMRlPsI+4t3jKYXFvX21005LrEhIfV8LBQeA/iasI5xZ3cvdPcHCQF0a6BuEkMCrA7UrwIPmVlzd/+AEKbPJqxbfonw2rkA6Ozu9ygoiEhZKFcoV1QU5Ypk5gpliqpPSzCkXEVv1EcSgsAV7p5vZlcBLwAXR2+OewOXu/voGJu6XtF6zOcI5/BGyu3TgTcIUyUfAs4FzjKzi919aRKnelYFqSMQZnYMsASY7+53mNlpwD5mtghwoJWZPeLuq2Js8nqVOJ8BQAcz+xD4L9ALOMFC0SUjnOvd7r4wtgZv2K/AOKAPcKuZvUSopj0N6OXuQ83sPcIa7anxNVNE0o1yhXJFRVCuSHSuUKao4rQEQ8qVmeUQeiZPBaYDuwCtgY+BfYAGwE/u/r+S09qSxMx6A5+6e0b0dU13Xx59fhfQ2N0HWtjqa7G7/xJjc7cYZnY+Yergw8DFwKXu/kY0UnEU0A042N3Hx9jMMovafTHwOmEK4R8IlZ33IqwBLgAudvfv4mrj+ljY+i7bw17ijYHzCCN60wgVq3sDk4FT3H25mVVLcoATkeRRrpCKpFyRHMoUWw7NgJDyVgg0JBS8KSqmdBRwl7tfn3pgUkMCgLsPN7P+ZjYR6Onuc80s28N2TCMJ+3Tj7mNibegWxMx6ENb77kPYyms2cJeZZbn7M2b2OlDb3WfG18qyM7M9CK+NE919nJl9Ryg6drm7P2RmTwOZnsCCXQBmVhu4GqhhZq+5++tm9iuQB7xPmFK8A3AcsICw7rQgpuaKSPpSrpAKoVyRHMoUWxbVgJByE408LACGAHWAp939NEKl6hZmVjPO9m0sD3tWnwt8YWY5UUgAyAfmm1kNCwV9pAKkrmWMTABOIVSm7ufufQgFiJ41sz+4++Ikh4Si87Gw/3k1oCfhgnpUFHb+DVwPPGxmh7n78iSGhCLuvpQQFt4H7jezswmjk8cDHdx9HHAaYdr0bdH3JPaPAxFJHuUKKU/KFcnNFcoUWxYtwZDNljoFyswy3b0g5b5DgFsJva9vxtXGzWFmBxOqUnewUEBqKHCBu78bc9OqrBJrGXcjrPMbF639HUK47jxoZmcQCik97u4TYmzyepU4n2YeFUuKpkr2IIx+/dvdV5rZ4cD37v5rfC3eOBYKwN0KfEDY4qs+cLqH4nAZHu03LiJSFsoVUt6UK9InVyhTVH1agiGbxcy2BzqZ2TseiiUVRLcbYarkXwgFl9IyJEAYsTCzc8xsGfAbYT9uhYQKlHJRPRc4ERgNHB5dlBw42EKV5P2Bg9z999gaWwYp53MOcISZfUsIA0+ZWXVC8bFsM3vaU4qTpQt3/9rMTgUOIqzVPIzweN1DeLxERMpEuUIqgnJF+lCmqPrUASEbrajX1cz2Bq4COgKFZvahuy+C1W+MuWZ2tLsvTu2pTUdRWDgMqOfub8fdnqrKzBq6+/zo8z2BQ4G+hOm306KpuA9aqBreBngk6SGhiIWq2icQto67DTggGrW4LQoQ2xP2tV8UYzM3mbtPM7OnCMXiqgNva5RCRMpCuUK5oqIoV6RnrlCmqNq0BEM2SfQm/gChCMyxhDVnrwDvuPuylOPSOiCUpiqeUxKYWTtC8Hze3f9rZlsBBwDNCVPwDnX3FRa2Y3vTE1z5uORzJFqnfBzwJqHa9qHAzYQphi+7+9/NrL4nd0ssEZEKpVxRtc4pCZQrlCskmTQDQjZVT+Azdx8JjIyKxfwfQDRtchlUzQIxVfGcEiKTMBX1WDNbCUwEzgdWuHs3ADP7I6EI0efAnLgaWgaZwKqidcwetot6BahJmN75R3fPjUZc9jWzx919XqwtFhGJl3KFlDflCpEEUqVdKZNo7WWqMUBDM9sJwN0fJOzNeyhhCpvIRomKI91LCABDgGzCOs3WZnalmd0BXASc7+6JDQkW9q7+xUKF81XRWsyiCs/VgXpAxyj0LAMGKSSIyJZGuUIqmnKFSDKpA0LKJFqb2cfMTjWz/d39Y8Kasv5mdoCZdSEUhqlBKBAlskFmtl80ylWkJnA04YJ6BbAY2AuYS7Qdk7t/X+kN3QjungucB4yI1p6uNLNq0fTJGcBrhNfIOcDt0fEiIlsU5QqpCMoVyhWSfKoBIetl0fZXZtYbeB54irCH9WDgQ0KP8u5AY+BPhFGKfsBfPWXbLJHSmFnRVlEnuftLZjYceDb6GAxsBzzl7iNibOYmsbDN2n1Ad3efb2FP7nwz6wo0BEalrmsWEdkSKFdIRVKuUK6Q5FMHhJTKzHKA+dEIRSdCUaj33P1NC/snvwec5e4vmlkWocru3sC1hKlfY+Nqu6QXM+tO2Ou5ADjP3V+Ibt8aGEAIoVcCy9NtnWwpYeFc4AKgr7tPibVxIiKVSLlCKotyhUiyaQmGrMXM6hBGHdpGN+1FGI3Y2czqufso4EDgOTM7193zgYWEbY1OVkiQjeHuXxJCZibR/s5mluHuEwkjFje4+7J0CwkQtlkjjOx9YmYXEqZHHquQICJbEuUKqUzKFSLJphkQshYzq0EoaFMDONrd77Ow1/CewL+Az919iZn1Iuxf/X6MzZUqIpo2+T5wubv/M+72lCcz6w/8B+jm7t/G3R4RkcqkXCFxUK4QSSZtwylriHqIV5jZEsKay93NbJW7/zPac/hYoLqZfRxtlaX9q6VcuPtoM9sfGG1m+e7+RNxtKi/u/paZ1dHaTBHZ0ihXSFyUK0SSSUswZA3uXhhtgXWru/8HeALYxczOdvf7gR8IYSE75XsUEqRcuPtXwK5A2hWH2hCFBBHZEilXSJyUK0SSR0swBFhztMHMMoBPgA/d/TozO4SwD/dP7n6PmbVz98lxtldERESSS7lCRERKoxkQAqzej/sAM3sW2IaoSrCZ7UWoTP0hsJOZtVVIEBERkfVRrhARkdKoBsQWrsQ6y1WE9ZnVgGXA10And//MzN4Fhrv77JiaKiIiIgmnXCEiIuujJRiCme0N5Ln7F2Z2AfANYYusI4FOQH93/zC2BoqIiEjaUK4QEZF10RIMAWgPPGJmJwHNgROAG4GzCNtjWXxNExERkTTTHuUKEREphWZAbIGKpkeaWSdgBTALaEAICI2BMwhVqi8FcPdV2hJLRERESqNcISIiZaUZEFugKCQcDLwIXAKMBLq5+23AI4SpknsDTd19VdH3xNRcERERSTDlChERKSsVodwCmVk94FrgPHf/r5ntCQyNBiOGmll/YGt3nx5rQ0VERCTxlCtERKSsNANiC2NmvYGtgbHADwDu/jlwMbC3mWW4+3J3/z7GZoqIiEgaUK4QEZGNoQ6ILYiZ7Qr8DXDC2sy7Uu7OB+q7e2EMTRMREZE0o1whIiIbS0UotxBm1pEwGjHN3a8zMyOs0ZwBfAEMAC5193dibKaIiIikAeUKERHZFJoBsQUwsyzC6EQ2sLuZdfNgN+AdYCbwZ3d/JwoQIiIiIqVSrhARkU2lGRBVVMqWWDsSpkeeC2QCfwHmA0PdfWycbRQREZH0oFwhIiLlQTMgqqgoJPQDzge2Be6M7noAqAcMMLOd4mqfiIiIpA/lChERKQ/qgKiiohGKR6OPC4FxwD3AUuBxoBawIrYGioiISNpQrhARkfKgJRhVlJl1By5y9xOjr7cC7gbygPOAXFWmFhERkbJQrhARkfKgGRBV10RgZzMbDODuvxGqUi8lBIUsM9PjLyIiImWhXCEiIptNF4o0Z2atzayfmVVPuS3T3ecTAsGRZnadme0LHAaMApq6+3KNVIiIiEgq5QoREalI6oBIf72BW4G+ZlYDwN0Lovs+AS4DugInA2cCPwEdzKx+5TdVREREEk65QkREKoxqQFQBZnYZsB9wn7sPTbm9aMusDMJ+3fsA9wMDtFWWiIiIlEa5QkREKkq1uBsgm8fMDgS6A8uBh8ysAHjX3VdFIcHcvdDMMoFGwGHuPjHONouIiEgyKVeIiEhF0gyINGVmBjQDXgcudPcRZnYacDpwG/CG68EVERGRMlCuEBGRyqAaEGnKg5mEqtQ1oxGJx4EPgWeBg1SNWkRERMpCuUJERCqDLiRpJBqdwMyamVmb6OapQA+gRfT168D/gJmqRi0iIiLrolwhIiKVTUsw0oyZHU6oQD0HmAQ8E309F1gF7AGc6+6fx9VGERERSQ/KFSIiUpnUAZFGzGxn4AHgcOA44M/uvoOZNQZ2AbYHvnX3T2JspoiIiKQB5QoREals6oBIE2bWlLBk5nDCiMRg4CR3/9XMOrv7d7E2UERERNKGcoWIiMRBNSDSgJntA7wJ9AROBP4EHB2FhP2AR82sTdFaThEREZF1Ua4QEZG4VIu7AbJ+ZtYR+AtwjruPNrMdgEOBPcysAXABcJm7T42vlSIiIpIOlCtERCRO6oBIMDOrDuwJdAL6A6Pd/VYzWwJ0BpoAf3H3D6LtsrSeRkREREqlXCEiInFTDYiEKbrgm1kOkO/uS83sZKAP8LG7P5NybIa2xBIREZF1Ua4QEZEk0QyIhIlCwhHAn4F8MxsBPA0YYXpkNXd/oujwuNopIiIiyadcISIiSaIilAljZt2BSwjbYX0OHANMBV4Hvgb2NrMWEEJFTM0UERGRNKBcISIiSaIlGDGLRh5WpXy9C7AzsBI4B/hDVJW6HSEwtHD33+NprYiIiCSZcoWIiCSZlmDEyMxqAH3MbBpQF9gemAkMBGoAx7n7NDM7BLiUsEWWQoKIiIisRblCRESSTh0QMTGzmu6+3MyygQeBDkA/d//JzA4CtgO2N7PewFWELbHmxthkERERSSjlChERSQeqAREDM6sLvG9m+wFfAl2B74CGAO5+IfA/4ADgEOAid3/TzCyeFouIiEhSKVeIiEi6UA2ImJjZGYS1mKcDU4CDgX2Aoe7+hpk1AZYDealrOUVERERKUq4QEZF0oCUYMXH3R80sH3gKOBt4njBScYSZ9QB6AEPc/dcYmykiIiJpQLlCRETSgZZgVBIz287MBphZm6Lb3P0Z4HbCWs1ewH3Au0AX4AGFBBERESmNcoWIiKQjLcGoBNEay78D5wP/JlSkvhIocPcVZnYqcB5wibt/aGbV3X2lmZn25BYREZFUyhUiIpKu1AFRSczsAOAaYBAhNEwirMW8w93nmtmJwNVAH2CeuxfE1VYRERFJNuUKERFJR+qAqERm9jrwlbvfYGYnAw8APwAvAiOBCe4+J8YmioiISJpQrhARkXSjGhCVwMyKfs83ATXMbGfgEsLUySuBBoSq1AoJIiIisl7KFSIikq40A6ISmVlT4DmgN3CBuz8U3V7L3ZfF2jgRERFJK8oVIiKSbtQBUcnMrCfwD+Aod59hZhnuXhh3u0RERCT9KFeIiEg60RKMyjcGGAfspZAgIiIim0m5QkRE0ka1uBuwpYm2wXoIqKaQICIiIptDuUJERNKJlmCIiIiIiIiISIXTEgwRERERERERqXDqgBARERERERGRCqcOCBERERERERGpcOqAEBEREREREZEKpw4IEREREREREalw6oAQERERERERkQr3/9bY7bUWnS1vAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1080x504 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(ncols = 2, figsize = (15,7))\n",
    "split_character = \":\"\n",
    "df_new = df2.loc[:, (df2.columns.str.startswith('Climate Impact:')) | (df2.columns.str.startswith('Solution type:'))].corr(method='spearman')\n",
    "x0 = df_new.loc[df_new.index.str.startswith('Solution type:'),df_new.columns.str.startswith('Climate Impact:')]\n",
    "x0.columns = x0.columns.str.split(split_character).str[-1]\n",
    "x0.index = x0.index.str.split(split_character).str[-1]\n",
    "\n",
    "x1 = p_climate_solution\n",
    "\n",
    "\n",
    "del df_new\n",
    "\n",
    "#Coefficient plot\n",
    "sns_a = sns.heatmap(x0,ax=axes[0], linewidths=.5,annot = True,fmt=\".3f\",cmap=sns.color_palette(\"mako\",as_cmap=True),vmin = -0.4,vmax = 0.4)\n",
    "sns_a.set_xticklabels(labels = sns_a.get_xticklabels(), rotation=45, ha='right', rotation_mode=\"anchor\")\n",
    "sns_a.tick_params(axis='both', labelsize=10)\n",
    "sns_a.set_title(\"Correlation climate impacts and solutions\")\n",
    "\n",
    "\n",
    "#Pvalues plot\n",
    "sns_c = sns.heatmap(x1,ax=axes[1], linewidths=.5, annot = True,fmt=\".3f\",cmap=sns.color_palette(\"\",as_cmap=True))\n",
    "sns_c.set_xticklabels(labels = sns_c.get_xticklabels(), rotation=45, ha='right', rotation_mode=\"anchor\")\n",
    "sns_c.tick_params(axis='both', labelsize=10)\n",
    "sns_c.set_title('P-values for Spearman Correlation')\n",
    "fig.subplots_adjust(wspace=0.4)\n",
    "plt.tight_layout()\n",
    "# Show the heatmap\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2cce2017",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from scipy.stats import spearmanr\n",
    "\n",
    "# Assuming 'df' is your Pandas DataFrame with some numeric columns\n",
    "df = pd.DataFrame({\n",
    "    'A': [...], # some numeric data\n",
    "    'B': [...], # some numeric data\n",
    "    # ... possibly more columns\n",
    "})\n",
    "split_character = \":\"\n",
    "df_new = df2.loc[:, (df2.columns.str.startswith('Climate Impact:')) | (df2.columns.str.startswith('Solution type:'))]\n",
    "\n",
    "\n",
    "\n",
    "# This will compute the Spearman correlation matrix with Pandas\n",
    "spearman_correlation_matrix = df.corr(method='spearman')\n",
    "\n",
    "# Initialize empty DataFrame to store p-values\n",
    "p_values = pd.DataFrame(index=df.columns, columns=df.columns)\n",
    "\n",
    "# Fill the DataFrame with p-values\n",
    "for col1 in df.columns:\n",
    "    for col2 in df.columns:\n",
    "        # Avoid repeated calculations and self-correlation\n",
    "        if col1 == col2 or pd.notnull(p_values.at[col1, col2]):\n",
    "            continue\n",
    "        # Perform Spearman correlation test\n",
    "        corr_test = spearmanr(df[col1], df[col2])\n",
    "        p_values.at[col1, col2] = corr_test.pvalue\n",
    "        p_values.at[col2, col1] = corr_test.pvalue\n",
    "\n",
    "# Print the Spearman correlation matrix\n",
    "print(\"Spearman Correlation Matrix:\\n\", spearman_correlation_matrix)\n",
    "\n",
    "# Print the matrix of p-values\n",
    "print(\"\\nP-Values Matrix:\\n\", p_values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "6cf7b47b",
   "metadata": {},
   "outputs": [],
   "source": [
    "df2.drop(['Sendai Target:'],inplace=True, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "e16d51c9",
   "metadata": {},
   "outputs": [],
   "source": [
    "c = ['red', 'goldenrod', 'forestgreen', 'darkred', 'orangered', 'deepskyblue', 'gold','brown', 'darkorange',\n",
    "    'deeppink', 'orange','darkgoldenrod','darkgreen', 'limegreen', 'royalblue', 'navy']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "id": "f20d46d0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Title', 'Body', 'Solution location',\n",
       "       'Was the solution implemented in more than one country?',\n",
       "       'What were the other countries?', 'Mountain range',\n",
       "       'Climate impact time-scale(s)', 'Performance evaluation',\n",
       "       'Long term project sustainability and maintenance',\n",
       "       'Solution scale:Global', 'Solution scale:Local',\n",
       "       'Solution scale:National', 'Solution scale:Sub-national / Regional',\n",
       "       'Solution scale:Trans-Boundary', 'Ecosystem:Agricultural land',\n",
       "       'Ecosystem:Forest', 'Ecosystem:Grassland', 'Ecosystem:High Alpine',\n",
       "       'Ecosystem:Lakes and rivers', 'Ecosystem:Meadows', 'Ecosystem:Peatland',\n",
       "       'Ecosystem:Urban', 'Climate Impact:Altered growing seasons',\n",
       "       'Climate Impact:Drought', 'Climate Impact:Flood',\n",
       "       'Climate Impact:Heat stress', 'Climate Impact:Landslides',\n",
       "       'Climate Impact:Wild Fire', 'Sector:Agriculture',\n",
       "       'Sector:Basic Infrastructure', 'Sector:Ecosystems Biodiversity',\n",
       "       'Sector:Forestry', 'Sector:Human Health & Wellbeing',\n",
       "       'Sector:Natural Hazards', 'Sector:Plans & policy',\n",
       "       'Sector:Tourism & Consumption', 'Sector:Transport & energy',\n",
       "       'Sector:Water', 'Solution type:Education and awareness',\n",
       "       'Solution type:Engineering', 'Solution type:Finance',\n",
       "       'Solution type:Land use practice', 'Solution type:Monitoring',\n",
       "       'Solution type:Policy', 'Solution type:Research',\n",
       "       'Solution type:Technological development',\n",
       "       'Benefits:Climate risk reduction', 'Benefits:Economic benefits',\n",
       "       'Benefits:Environmental benefits', 'Benefits:Social benefits',\n",
       "       'Benefits:Technical benefits', 'Co-benefits:Climate risk reduction',\n",
       "       'Co-benefits:Economic benefits', 'Co-benefits:Environmental benefits',\n",
       "       'Co-benefits:Political benefits', 'Co-benefits:Social benefits',\n",
       "       'Co-benefits:Technical benefits', 'No Sendai target', 'Sendai target A',\n",
       "       'Sendai target B', 'Sendai target C', 'Sendai target D',\n",
       "       'Sendai target E', 'Sendai target F', 'Sendai target G', 'SDG 10',\n",
       "       'SDG 11', 'SDG 12', 'SDG 13', 'SDG 15', 'SDG 16', 'SDG 17', 'SDG 1',\n",
       "       'SDG 2', 'SDG 3', 'SDG 4', 'SDG 5', 'SDG 6', 'SDG 7', 'SDG 8', 'SDG 9',\n",
       "       'code', 'Countries', 'Country_0', 'Country_1', 'Country_2', 'Country_3',\n",
       "       'Country_4', 'Country_5', 'Country_6'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 204,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "id": "2fa0e026",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_UN = df2[['No Sendai target', 'Sendai target A','Sendai target B', 'Sendai target C', 'Sendai target D',\n",
    "       'Sendai target E', 'Sendai target F', 'Sendai target G', 'SDG 1', 'SDG 2', 'SDG 3',\n",
    "       'SDG 4', 'SDG 5', 'SDG 6', 'SDG 7', 'SDG 8', 'SDG 9', 'SDG 10',\n",
    "       'SDG 11', 'SDG 12', 'SDG 13', 'SDG 15', 'SDG 16', 'SDG 17']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 312,
   "id": "57deb3f9",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<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>No Sendai target</th>\n",
       "      <th>Sendai target A</th>\n",
       "      <th>Sendai target B</th>\n",
       "      <th>Sendai target C</th>\n",
       "      <th>Sendai target D</th>\n",
       "      <th>Sendai target E</th>\n",
       "      <th>Sendai target F</th>\n",
       "      <th>Sendai target G</th>\n",
       "      <th>SDG 1</th>\n",
       "      <th>SDG 2</th>\n",
       "      <th>...</th>\n",
       "      <th>SDG 7</th>\n",
       "      <th>SDG 8</th>\n",
       "      <th>SDG 9</th>\n",
       "      <th>SDG 10</th>\n",
       "      <th>SDG 11</th>\n",
       "      <th>SDG 12</th>\n",
       "      <th>SDG 13</th>\n",
       "      <th>SDG 15</th>\n",
       "      <th>SDG 16</th>\n",
       "      <th>SDG 17</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "    </tr>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
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       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>88 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    No Sendai target  Sendai target A  Sendai target B  Sendai target C  \\\n",
       "0                  1                0                0                0   \n",
       "1                  0                0                0                1   \n",
       "2                  0                0                0                0   \n",
       "3                  0                0                0                0   \n",
       "4                  0                0                0                0   \n",
       "..               ...              ...              ...              ...   \n",
       "83                 1                0                0                0   \n",
       "84                 0                1                1                1   \n",
       "85                 0                1                1                1   \n",
       "86                 0                0                0                0   \n",
       "87                 0                0                0                0   \n",
       "\n",
       "    Sendai target D  Sendai target E  Sendai target F  Sendai target G  SDG 1  \\\n",
       "0                 0                0                0                0      0   \n",
       "1                 1                0                0                0      0   \n",
       "2                 1                0                0                0      1   \n",
       "3                 1                0                0                0      0   \n",
       "4                 1                0                0                0      0   \n",
       "..              ...              ...              ...              ...    ...   \n",
       "83                0                0                0                0      0   \n",
       "84                1                1                0                0      0   \n",
       "85                1                0                0                0      1   \n",
       "86                0                0                1                0      0   \n",
       "87                0                0                0                0      0   \n",
       "\n",
       "    SDG 2  ...  SDG 7  SDG 8  SDG 9  SDG 10  SDG 11  SDG 12  SDG 13  SDG 15  \\\n",
       "0       0  ...      0      0      0       0       0       0       1       0   \n",
       "1       0  ...      0      0      1       0       0       0       1       0   \n",
       "2       0  ...      0      0      0       0       0       0       0       0   \n",
       "3       0  ...      0      0      0       0       0       0       1       0   \n",
       "4       0  ...      0      0      0       0       0       0       1       0   \n",
       "..    ...  ...    ...    ...    ...     ...     ...     ...     ...     ...   \n",
       "83      0  ...      0      0      1       0       0       1       0       0   \n",
       "84      0  ...      0      0      1       0       0       0       1       0   \n",
       "85      0  ...      1      1      0       1       1       0       1       1   \n",
       "86      1  ...      0      0      0       0       0       0       0       0   \n",
       "87      0  ...      0      0      0       0       0       0       0       0   \n",
       "\n",
       "    SDG 16  SDG 17  \n",
       "0        0       1  \n",
       "1        0       0  \n",
       "2        0       0  \n",
       "3        0       0  \n",
       "4        0       0  \n",
       "..     ...     ...  \n",
       "83       0       0  \n",
       "84       0       0  \n",
       "85       0       1  \n",
       "86       0       0  \n",
       "87       0       0  \n",
       "\n",
       "[88 rows x 24 columns]"
      ]
     },
     "execution_count": 312,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_UN"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "id": "afc88ae0",
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "title='Sustainable development goal (SDG) addressed'\n",
    "xlabel='Solution counts'\n",
    "ax = df_UN.loc[:, df_UN.columns.str.startswith('SDG')].sum().plot.barh(color = c,figsize = (8,6))\n",
    "\n",
    "#ax = df2.iloc[:,68:84].sum().plot.barh(color = c,figsize = (8,6))\n",
    "ax.set(xlabel=xlabel)\n",
    "ax.set_title(label = title)\n",
    "ax.set_title(label = title, fontsize = 12, pad=10)\n",
    "ax.tick_params(axis='both', labelsize=10)\n",
    "#ax.tick_params(axis='x')\n",
    "figure_name = 'SDG_Addressed'\n",
    "plt.savefig(\n",
    "    file_path_2 + figure_name + '.png',\n",
    "       bbox_inches='tight', dpi = 400)\n",
    "plt.savefig(file_path_2 + figure_name + '.svg')\n",
    "plt.show()\n",
    "del ax"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 199,
   "id": "fb251046",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "title='Sendai Target'\n",
    "xlabel='Solution counts'\n",
    "ax = df_UN.loc[:, df_UN.columns.str.startswith('Sendai')].sum().plot.barh(figsize = (8,6))\n",
    "ax.set(xlabel=xlabel)\n",
    "ax.set_title(label = title)\n",
    "ax.set_title(label = title, fontsize = 12, pad=10)\n",
    "ax.tick_params(axis='both', labelsize=10)\n",
    "#ax.tick_params(axis='x')\n",
    "figure_name = 'SendaiTarget'\n",
    "plt.savefig(\n",
    "    file_path_2 + figure_name + '.svg',\n",
    "       bbox_inches='tight', dpi = 400)\n",
    "plt.show()\n",
    "del ax"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 205,
   "id": "42188ca9",
   "metadata": {},
   "outputs": [],
   "source": [
    "from pycountry_convert import  country_alpha2_to_continent_code, country_alpha3_to_country_alpha2,country_name_to_country_alpha2,country_name_to_country_alpha3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 206,
   "id": "12de5b29",
   "metadata": {},
   "outputs": [],
   "source": [
    "df2['Solution location'] = df2['Solution location'].str.capitalize()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 207,
   "id": "6d03c03d",
   "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>Title</th>\n",
       "      <th>Body</th>\n",
       "      <th>Solution location</th>\n",
       "      <th>Was the solution implemented in more than one country?</th>\n",
       "      <th>What were the other countries?</th>\n",
       "      <th>Mountain range</th>\n",
       "      <th>Climate impact time-scale(s)</th>\n",
       "      <th>Performance evaluation</th>\n",
       "      <th>Long term project sustainability and maintenance</th>\n",
       "      <th>Solution scale:Global</th>\n",
       "      <th>...</th>\n",
       "      <th>SDG 9</th>\n",
       "      <th>code</th>\n",
       "      <th>Countries</th>\n",
       "      <th>Country_0</th>\n",
       "      <th>Country_1</th>\n",
       "      <th>Country_2</th>\n",
       "      <th>Country_3</th>\n",
       "      <th>Country_4</th>\n",
       "      <th>Country_5</th>\n",
       "      <th>Country_6</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Sustainable watershed management in glacial mo...</td>\n",
       "      <td>The Glaciares+ project was led by NGO CARE Per...</td>\n",
       "      <td>Peru</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Andes</td>\n",
       "      <td>Slow Onset;;Rapid Onset</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Glaciares+ long-term sustainability comes from...</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>PER</td>\n",
       "      <td>Peru</td>\n",
       "      <td>Peru</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Assessing the Economic Impacts of Disasters al...</td>\n",
       "      <td>This World Bank and Global Facility for Disast...</td>\n",
       "      <td>Tajikistan</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Pamir Mountains</td>\n",
       "      <td>Slow Onset;;Rapid Onset</td>\n",
       "      <td>NaN</td>\n",
       "      <td>This project took into account future climate ...</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>TJK</td>\n",
       "      <td>Tajikistan</td>\n",
       "      <td>Tajikistan</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Renewing the flow of water in Mireshelli, Azer...</td>\n",
       "      <td>This project was part of the “Integrated Rural...</td>\n",
       "      <td>Azerbaijan</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Lesser Caucasus</td>\n",
       "      <td>Slow Onset</td>\n",
       "      <td>NaN</td>\n",
       "      <td>About 1,500 Khariz are thought to have existed...</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>AZE</td>\n",
       "      <td>Azerbaijan</td>\n",
       "      <td>Azerbaijan</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>As good as new: Rehabilitating irrigation syst...</td>\n",
       "      <td>This project involved the collaborative effort...</td>\n",
       "      <td>Azerbaijan</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Talish Mountains</td>\n",
       "      <td>Slow Onset</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Rehabilitating irrigation systems can be an im...</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>AZE</td>\n",
       "      <td>Azerbaijan</td>\n",
       "      <td>Azerbaijan</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Restoring lost water resources in the Shirak r...</td>\n",
       "      <td>This solution was supported by the EU-financed...</td>\n",
       "      <td>Armenia</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Lesser Caucasus</td>\n",
       "      <td>Rapid Onset</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>ARM</td>\n",
       "      <td>Armenia</td>\n",
       "      <td>Armenia</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>The Winter Preparedness and Avalanche Readines...</td>\n",
       "      <td>The Winter Preparedness and Avalanche Readines...</td>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Pakistan;;Tajikistan</td>\n",
       "      <td>Pamir, Karakoram, Himalaya</td>\n",
       "      <td>Rapid Onset</td>\n",
       "      <td>Detailed impact analysis has not been done but...</td>\n",
       "      <td>ClimSnow is jointly operated by Dianeige, Mété...</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>AFG</td>\n",
       "      <td>Afghanistan,Pakistan,Tajikistan</td>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>Pakistan</td>\n",
       "      <td>Tajikistan</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>ClimSnow, a novel climate service to inform sk...</td>\n",
       "      <td>ClimSnow is a climate service developed to inf...</td>\n",
       "      <td>France</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Andorra;;Spain</td>\n",
       "      <td>French Alps, Pyrenees, Jura</td>\n",
       "      <td>Slow Onset;;Rapid Onset</td>\n",
       "      <td>The performance of ClimSnow has not been evalu...</td>\n",
       "      <td>The municipality is in charge of the maintenan...</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>FRA</td>\n",
       "      <td>France,Andorra,Spain</td>\n",
       "      <td>France</td>\n",
       "      <td>Andorra</td>\n",
       "      <td>Spain</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>Co-designed nature-based solution in Nocera In...</td>\n",
       "      <td>This nature-based solution sought to reduce la...</td>\n",
       "      <td>Italy</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Monti Lattari</td>\n",
       "      <td>Slow Onset;;Rapid Onset</td>\n",
       "      <td>No information available</td>\n",
       "      <td>No information is available regarding environm...</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>ITA</td>\n",
       "      <td>Italy</td>\n",
       "      <td>Italy</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>Nature-based “carrots and sticks” solution</td>\n",
       "      <td>This nature-based solution focuses primarily o...</td>\n",
       "      <td>China</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Qionglai Mountains in Western Sichuan province...</td>\n",
       "      <td>Slow Onset;;Rapid Onset</td>\n",
       "      <td>Intensive semi-annual evaluations are conducte...</td>\n",
       "      <td>Multiple gender-balanced stakeholder-led commi...</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>CHN</td>\n",
       "      <td>China</td>\n",
       "      <td>China</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>Integrated Water Resource Management: Water fo...</td>\n",
       "      <td>The Virunga area is a fragile but strategic re...</td>\n",
       "      <td>Uganda</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Congo (Kinshasa);;Rwanda</td>\n",
       "      <td>Mgahinga</td>\n",
       "      <td>Slow Onset</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>UGA</td>\n",
       "      <td>Uganda,Congo (Kinshasa),Rwanda</td>\n",
       "      <td>Uganda</td>\n",
       "      <td>Democratic Republic of the Congo</td>\n",
       "      <td>Rwanda</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>88 rows × 90 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                Title  \\\n",
       "0   Sustainable watershed management in glacial mo...   \n",
       "1   Assessing the Economic Impacts of Disasters al...   \n",
       "2   Renewing the flow of water in Mireshelli, Azer...   \n",
       "3   As good as new: Rehabilitating irrigation syst...   \n",
       "4   Restoring lost water resources in the Shirak r...   \n",
       "..                                                ...   \n",
       "83  The Winter Preparedness and Avalanche Readines...   \n",
       "84  ClimSnow, a novel climate service to inform sk...   \n",
       "85  Co-designed nature-based solution in Nocera In...   \n",
       "86         Nature-based “carrots and sticks” solution   \n",
       "87  Integrated Water Resource Management: Water fo...   \n",
       "\n",
       "                                                 Body Solution location  \\\n",
       "0   The Glaciares+ project was led by NGO CARE Per...              Peru   \n",
       "1   This World Bank and Global Facility for Disast...        Tajikistan   \n",
       "2   This project was part of the “Integrated Rural...        Azerbaijan   \n",
       "3   This project involved the collaborative effort...        Azerbaijan   \n",
       "4   This solution was supported by the EU-financed...           Armenia   \n",
       "..                                                ...               ...   \n",
       "83  The Winter Preparedness and Avalanche Readines...       Afghanistan   \n",
       "84  ClimSnow is a climate service developed to inf...            France   \n",
       "85  This nature-based solution sought to reduce la...             Italy   \n",
       "86  This nature-based solution focuses primarily o...             China   \n",
       "87  The Virunga area is a fragile but strategic re...            Uganda   \n",
       "\n",
       "   Was the solution implemented in more than one country?  \\\n",
       "0                                                  No       \n",
       "1                                                  No       \n",
       "2                                                  No       \n",
       "3                                                  No       \n",
       "4                                                  No       \n",
       "..                                                ...       \n",
       "83                                                Yes       \n",
       "84                                                Yes       \n",
       "85                                                 No       \n",
       "86                                                 No       \n",
       "87                                                Yes       \n",
       "\n",
       "   What were the other countries?  \\\n",
       "0                             NaN   \n",
       "1                             NaN   \n",
       "2                             NaN   \n",
       "3                             NaN   \n",
       "4                             NaN   \n",
       "..                            ...   \n",
       "83           Pakistan;;Tajikistan   \n",
       "84                 Andorra;;Spain   \n",
       "85                            NaN   \n",
       "86                            NaN   \n",
       "87       Congo (Kinshasa);;Rwanda   \n",
       "\n",
       "                                       Mountain range  \\\n",
       "0                                               Andes   \n",
       "1                                     Pamir Mountains   \n",
       "2                                     Lesser Caucasus   \n",
       "3                                    Talish Mountains   \n",
       "4                                     Lesser Caucasus   \n",
       "..                                                ...   \n",
       "83                         Pamir, Karakoram, Himalaya   \n",
       "84                        French Alps, Pyrenees, Jura   \n",
       "85                                      Monti Lattari   \n",
       "86  Qionglai Mountains in Western Sichuan province...   \n",
       "87                                           Mgahinga   \n",
       "\n",
       "   Climate impact time-scale(s)  \\\n",
       "0       Slow Onset;;Rapid Onset   \n",
       "1       Slow Onset;;Rapid Onset   \n",
       "2                    Slow Onset   \n",
       "3                    Slow Onset   \n",
       "4                   Rapid Onset   \n",
       "..                          ...   \n",
       "83                  Rapid Onset   \n",
       "84      Slow Onset;;Rapid Onset   \n",
       "85      Slow Onset;;Rapid Onset   \n",
       "86      Slow Onset;;Rapid Onset   \n",
       "87                   Slow Onset   \n",
       "\n",
       "                               Performance evaluation  \\\n",
       "0                                                 NaN   \n",
       "1                                                 NaN   \n",
       "2                                                 NaN   \n",
       "3                                                 NaN   \n",
       "4                                                 NaN   \n",
       "..                                                ...   \n",
       "83  Detailed impact analysis has not been done but...   \n",
       "84  The performance of ClimSnow has not been evalu...   \n",
       "85                           No information available   \n",
       "86  Intensive semi-annual evaluations are conducte...   \n",
       "87                                                NaN   \n",
       "\n",
       "     Long term project sustainability and maintenance  Solution scale:Global  \\\n",
       "0   Glaciares+ long-term sustainability comes from...                      0   \n",
       "1   This project took into account future climate ...                      0   \n",
       "2   About 1,500 Khariz are thought to have existed...                      0   \n",
       "3   Rehabilitating irrigation systems can be an im...                      0   \n",
       "4                                                 NaN                      0   \n",
       "..                                                ...                    ...   \n",
       "83  ClimSnow is jointly operated by Dianeige, Mété...                      0   \n",
       "84  The municipality is in charge of the maintenan...                      0   \n",
       "85  No information is available regarding environm...                      0   \n",
       "86  Multiple gender-balanced stakeholder-led commi...                      0   \n",
       "87                                                NaN                      0   \n",
       "\n",
       "    ...  SDG 9  code                        Countries    Country_0  \\\n",
       "0   ...      0   PER                             Peru         Peru   \n",
       "1   ...      1   TJK                       Tajikistan   Tajikistan   \n",
       "2   ...      0   AZE                       Azerbaijan   Azerbaijan   \n",
       "3   ...      0   AZE                       Azerbaijan   Azerbaijan   \n",
       "4   ...      0   ARM                          Armenia      Armenia   \n",
       "..  ...    ...   ...                              ...          ...   \n",
       "83  ...      1   AFG  Afghanistan,Pakistan,Tajikistan  Afghanistan   \n",
       "84  ...      1   FRA             France,Andorra,Spain       France   \n",
       "85  ...      0   ITA                            Italy        Italy   \n",
       "86  ...      0   CHN                            China        China   \n",
       "87  ...      0   UGA   Uganda,Congo (Kinshasa),Rwanda       Uganda   \n",
       "\n",
       "                           Country_1   Country_2  Country_3  Country_4  \\\n",
       "0                               None        None       None       None   \n",
       "1                               None        None       None       None   \n",
       "2                               None        None       None       None   \n",
       "3                               None        None       None       None   \n",
       "4                               None        None       None       None   \n",
       "..                               ...         ...        ...        ...   \n",
       "83                          Pakistan  Tajikistan       None       None   \n",
       "84                           Andorra       Spain       None       None   \n",
       "85                              None        None       None       None   \n",
       "86                              None        None       None       None   \n",
       "87  Democratic Republic of the Congo      Rwanda       None       None   \n",
       "\n",
       "    Country_5  Country_6  \n",
       "0        None       None  \n",
       "1        None       None  \n",
       "2        None       None  \n",
       "3        None       None  \n",
       "4        None       None  \n",
       "..        ...        ...  \n",
       "83       None       None  \n",
       "84       None       None  \n",
       "85       None       None  \n",
       "86       None       None  \n",
       "87       None       None  \n",
       "\n",
       "[88 rows x 90 columns]"
      ]
     },
     "execution_count": 207,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2[df2['What were the other countries?'] != 'NAN']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 208,
   "id": "5af686e2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "20                                       Rwanda;;Uganda\n",
       "38                                                Sudan\n",
       "52                   Argentina;;Bolivia;;Chile;;Ecuador\n",
       "61                                          Philippines\n",
       "62                          Bangladesh;;Nepal;;Pakistan\n",
       "68                    Bolivia;;Burundi;;Nepal;;Pakistan\n",
       "71                                             Colombia\n",
       "73    Argentina;;Bolivia;;Chile;;Ecuador;;Peru;;Vene...\n",
       "82        Andorra;;Austria;;Germany;;Italy;;Switzerland\n",
       "83                                 Pakistan;;Tajikistan\n",
       "84                                       Andorra;;Spain\n",
       "87                             Congo (Kinshasa);;Rwanda\n",
       "Name: What were the other countries?, dtype: object"
      ]
     },
     "execution_count": 208,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2['What were the other countries?'].dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 209,
   "id": "eb06cd0a",
   "metadata": {},
   "outputs": [],
   "source": [
    "#for i, row in df10.iterrows():    \n",
    "code = []\n",
    "for p in df2['Solution location'].str.capitalize():\n",
    "    try:\n",
    "        aa = country_name_to_country_alpha3(p)\n",
    "        code.append(aa)\n",
    "    except:\n",
    "        code.append('')\n",
    "df2['code'] = code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 210,
   "id": "246fb123",
   "metadata": {},
   "outputs": [],
   "source": [
    "def try_concat(x, y):\n",
    "    try:\n",
    "        return str(x) + ' ;; ' + y\n",
    "    except (ValueError, TypeError):\n",
    "        return x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 211,
   "id": "c70f0b45",
   "metadata": {},
   "outputs": [],
   "source": [
    "df2['Countries'] = [try_concat(x, y) for x, y in zip(df2['Solution location'], df['What were the other countries?'])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 212,
   "id": "d7980281",
   "metadata": {},
   "outputs": [],
   "source": [
    "df2['Countries'] = df2['Countries'].str.replace(';;',',')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 213,
   "id": "63d287e4",
   "metadata": {},
   "outputs": [],
   "source": [
    "df2['Countries'] = df2['Countries'].str.replace(' , ',',') "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 214,
   "id": "90b7f720",
   "metadata": {},
   "outputs": [],
   "source": [
    "df2['Countries'].str.split(',', expand=True)\n",
    "new = df2[\"Countries\"].str.split(\",\", n = -1, expand = True)\n",
    "df2[['Country_' + str(i) for i in range(new.shape[1])]] = new\n",
    "#df2 = df2.replace({np.nan: None})\n",
    "#df.drop('Climate impact(s) addressed', axis = 1, inplace=True)\n",
    "del new"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 215,
   "id": "ed3c390a",
   "metadata": {},
   "outputs": [],
   "source": [
    "df2.replace(to_replace='Congo (Kinshasa)', value='Democratic Republic of the Congo',inplace= True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 216,
   "id": "b431f49a",
   "metadata": {},
   "outputs": [],
   "source": [
    "df2.replace(to_replace='South sudan', value='South Sudan',inplace= True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 217,
   "id": "cd77012b",
   "metadata": {},
   "outputs": [],
   "source": [
    "df11 = pd.concat([df2['Country_0'],df2['Country_1'],df2['Country_2'],df2['Country_3'],df2['Country_4'],\n",
    "           df2['Country_5'],df2['Country_6']]).value_counts(ascending=False).rename_axis('countries').to_frame('counts')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 218,
   "id": "83edcca8",
   "metadata": {},
   "outputs": [],
   "source": [
    "df11.reset_index(inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 219,
   "id": "f7688085",
   "metadata": {},
   "outputs": [],
   "source": [
    "df12 = pd.concat([df2['Country_0'],df2['Country_1'],df2['Country_2'],df2['Country_3'],df2['Country_4'],\n",
    "           df2['Country_5'],df2['Country_6']]).rename_axis('solutions').to_frame('countries')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 220,
   "id": "4cf379d9",
   "metadata": {},
   "outputs": [],
   "source": [
    "result = pd.concat([df12, df2], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 221,
   "id": "46dedc50",
   "metadata": {},
   "outputs": [],
   "source": [
    "cf = result.groupby('countries').sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 222,
   "id": "b6cd510e",
   "metadata": {},
   "outputs": [],
   "source": [
    "cf.reset_index(inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 223,
   "id": "6d239578",
   "metadata": {},
   "outputs": [],
   "source": [
    "#for i, row in df10.iterrows():    \n",
    "code = []\n",
    "continents = []\n",
    "for p in cf.countries:\n",
    "    try:\n",
    "        aa = country_name_to_country_alpha3(p)\n",
    "        b1 = country_name_to_country_alpha2(p)\n",
    "        bb = country_alpha2_to_continent_code(b1)\n",
    "        code.append(aa)\n",
    "        continents.append(bb) \n",
    "    except:\n",
    "        code.append('')\n",
    "        continents.append('')   \n",
    "cf['code'] = code\n",
    "cf['continents'] = continents"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 224,
   "id": "78e3455f",
   "metadata": {},
   "outputs": [],
   "source": [
    "cf.set_index('countries', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 225,
   "id": "60f014cc",
   "metadata": {},
   "outputs": [],
   "source": [
    "cf.rename(index = {'Democratic Republic of the Congo': 'DR Congo'},inplace= True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 256,
   "id": "7251496c",
   "metadata": {},
   "outputs": [],
   "source": [
    "scale = cf.loc[:,cf.columns.str.startswith('Climate Impact')]\n",
    "#cols = ['Solution scale:global', 'Solution scale:trans-boundary', 'Solution scale:national', \n",
    "#        'Solution scale:sub-national / regional','Solution scale:local']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 257,
   "id": "a1abc8c6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Solution per continent / we don't use this figure\n",
    "title='Impact addressed per country'                                                          \n",
    "ax = scale.plot.bar(stacked=True, figsize = (12,5),width=0.5)\n",
    "ax.set(ylabel=None)\n",
    "ax.set(xlabel=None)\n",
    "#ax.set_title(label = title)\n",
    "ax.set_title(label = title, fontsize = 12, pad = 10)\n",
    "ax.tick_params(axis='both', labelsize=8)\n",
    "ax.set_ylim(0.5, 13)\n",
    "#for c in ax.containers:\n",
    "#    ax.bar_label(c, label_type='center', padding=4,fontsize=8,color='black')\n",
    "ax.set_xticklabels(ax.get_xticklabels(), rotation=80, ha='right', rotation_mode=\"anchor\")\n",
    "\n",
    "#for p in ax.patches:\n",
    "#    left, bottom, width, height = p.get_bbox().bounds\n",
    "#    ax.annotate(str(width), xy=(left+width/2, bottom+height/2), \n",
    "#                ha='center', va='center')\n",
    "sns.despine(bottom=True)\n",
    "plt.tight_layout(pad=5)\n",
    "figure_name = 'Solution scale per country'\n",
    "plt.legend(bbox_to_anchor=(1.0, 1.0), fontsize = 8)\n",
    "plt.savefig(\n",
    "    file_path_2 + figure_name + '.png',\n",
    "       bbox_inches='tight', dpi = 400)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3e8bdc29",
   "metadata": {},
   "outputs": [],
   "source": [
    "cf.iloc[:,14:21].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 242,
   "id": "8b1018c8",
   "metadata": {},
   "outputs": [],
   "source": [
    "ccf = cf.groupby('continents').sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 243,
   "id": "b0c7bf59",
   "metadata": {},
   "outputs": [],
   "source": [
    "ccf.rename(index={'AF':'Africa', 'AS' : 'Asia', 'SA': 'South America', 'EU' : 'Europe'}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 263,
   "id": "3ab16cf7",
   "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>Solution scale:Global</th>\n",
       "      <th>Solution scale:Local</th>\n",
       "      <th>Solution scale:National</th>\n",
       "      <th>Solution scale:Sub-national / Regional</th>\n",
       "      <th>Solution scale:Trans-Boundary</th>\n",
       "      <th>Ecosystem:Agricultural land</th>\n",
       "      <th>Ecosystem:Forest</th>\n",
       "      <th>Ecosystem:Grassland</th>\n",
       "      <th>Ecosystem:High Alpine</th>\n",
       "      <th>Ecosystem:Lakes and rivers</th>\n",
       "      <th>...</th>\n",
       "      <th>SDG 17</th>\n",
       "      <th>SDG 1</th>\n",
       "      <th>SDG 2</th>\n",
       "      <th>SDG 3</th>\n",
       "      <th>SDG 4</th>\n",
       "      <th>SDG 5</th>\n",
       "      <th>SDG 6</th>\n",
       "      <th>SDG 7</th>\n",
       "      <th>SDG 8</th>\n",
       "      <th>SDG 9</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>continents</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Africa</th>\n",
       "      <td>2</td>\n",
       "      <td>12</td>\n",
       "      <td>5</td>\n",
       "      <td>18</td>\n",
       "      <td>3</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>10</td>\n",
       "      <td>4</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>15</td>\n",
       "      <td>14</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Asia</th>\n",
       "      <td>2</td>\n",
       "      <td>21</td>\n",
       "      <td>12</td>\n",
       "      <td>18</td>\n",
       "      <td>4</td>\n",
       "      <td>24</td>\n",
       "      <td>18</td>\n",
       "      <td>8</td>\n",
       "      <td>23</td>\n",
       "      <td>17</td>\n",
       "      <td>...</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>5</td>\n",
       "      <td>20</td>\n",
       "      <td>15</td>\n",
       "      <td>2</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Europe</th>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South America</th>\n",
       "      <td>1</td>\n",
       "      <td>16</td>\n",
       "      <td>1</td>\n",
       "      <td>19</td>\n",
       "      <td>7</td>\n",
       "      <td>13</td>\n",
       "      <td>25</td>\n",
       "      <td>19</td>\n",
       "      <td>27</td>\n",
       "      <td>13</td>\n",
       "      <td>...</td>\n",
       "      <td>31</td>\n",
       "      <td>17</td>\n",
       "      <td>8</td>\n",
       "      <td>16</td>\n",
       "      <td>1</td>\n",
       "      <td>14</td>\n",
       "      <td>19</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4 rows × 72 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               Solution scale:Global  Solution scale:Local  \\\n",
       "continents                                                   \n",
       "Africa                             2                    12   \n",
       "Asia                               2                    21   \n",
       "Europe                             0                    11   \n",
       "South America                      1                    16   \n",
       "\n",
       "               Solution scale:National  \\\n",
       "continents                               \n",
       "Africa                               5   \n",
       "Asia                                12   \n",
       "Europe                               0   \n",
       "South America                        1   \n",
       "\n",
       "               Solution scale:Sub-national / Regional  \\\n",
       "continents                                              \n",
       "Africa                                             18   \n",
       "Asia                                               18   \n",
       "Europe                                              1   \n",
       "South America                                      19   \n",
       "\n",
       "               Solution scale:Trans-Boundary  Ecosystem:Agricultural land  \\\n",
       "continents                                                                  \n",
       "Africa                                     3                           21   \n",
       "Asia                                       4                           24   \n",
       "Europe                                     0                            4   \n",
       "South America                              7                           13   \n",
       "\n",
       "               Ecosystem:Forest  Ecosystem:Grassland  Ecosystem:High Alpine  \\\n",
       "continents                                                                    \n",
       "Africa                       21                   10                      4   \n",
       "Asia                         18                    8                     23   \n",
       "Europe                        4                    4                      9   \n",
       "South America                25                   19                     27   \n",
       "\n",
       "               Ecosystem:Lakes and rivers  ...  SDG 17  SDG 1  SDG 2  SDG 3  \\\n",
       "continents                                 ...                                \n",
       "Africa                                  9  ...       7     15     14      5   \n",
       "Asia                                   17  ...      14     14     14     14   \n",
       "Europe                                  1  ...       2      7      6     10   \n",
       "South America                          13  ...      31     17      8     16   \n",
       "\n",
       "               SDG 4  SDG 5  SDG 6  SDG 7  SDG 8  SDG 9  \n",
       "continents                                               \n",
       "Africa             1     11      7      1     15      1  \n",
       "Asia               5     20     15      2     15     15  \n",
       "Europe             0      0      0      1      7      3  \n",
       "South America      1     14     19      1      8      8  \n",
       "\n",
       "[4 rows x 72 columns]"
      ]
     },
     "execution_count": 263,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ccf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 311,
   "id": "68c8efaa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 700x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Solution per continent\n",
    "title='Impacts addressed per continent'\n",
    "#xlabel = 'Solutions'\n",
    "#order = ['Altered growing seasons', 'Drought', 'Flood','Heat stress','Landslides','Wild Fire', 'Others']\n",
    "#c = ['gold', 'lightblue', 'green', 'grey']\n",
    "xx = ccf.loc[:,ccf.columns.str.startswith('Climate Impact')]\n",
    "xx.columns = xx.columns.str.split(split_character).str[-1]\n",
    "\n",
    "#ax = ccf.loc[:,ccf.columns.str.startswith('Climate Impact')].plot.barh(stacked=True, figsize = (10,6), color = c)\n",
    "                                 \n",
    "c=['yellowgreen', 'brown', 'lightskyblue', 'red', 'orange', 'darkgrey']                                 #                                    'plum'], width= 0.5)\n",
    "\n",
    "ax = xx.plot.barh(stacked=True, figsize = (7,5), color = c)       \n",
    "ax.set(ylabel=None)\n",
    "#ax.set_title(label = title)\n",
    "ax.set_title(label = title, fontsize = 14, pad = 10)\n",
    "ax.tick_params(axis='both', labelsize=12)\n",
    "ax.set_xlim(1, 101)\n",
    "#for c in ax.containers:\n",
    "#    ax.bar_label(c, label_type='center', padding=0.3,fontsize=8,color='black')\n",
    "\n",
    "\n",
    "#for p in ax.patches:\n",
    "#    left, bottom, width, height = p.get_bbox().bounds\n",
    "#    ax.annotate(str(width), xy=(left+width/2, bottom+height/2), \n",
    "#                ha='center', va='center')\n",
    "figure_name = 'Climate impact per continent'\n",
    "plt.legend(loc='upper right', bbox_to_anchor=(1.43, 1.02), fontsize = 10)\n",
    "plt.savefig(\n",
    "    file_path_2 + figure_name + '.png',\n",
    "       bbox_inches='tight', dpi = 400)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "id": "1ebd19dd",
   "metadata": {},
   "outputs": [],
   "source": [
    "#for i, row in df10.iterrows():    \n",
    "code = []\n",
    "continents = []\n",
    "for p in df11.countries:\n",
    "    try:\n",
    "        aa = country_name_to_country_alpha3(p)\n",
    "        b1 = country_name_to_country_alpha2(p)\n",
    "        bb = country_alpha2_to_continent_code(b1)\n",
    "        code.append(aa)\n",
    "        continents.append(bb) \n",
    "    except:\n",
    "        code.append('')\n",
    "        continents.append('')   \n",
    "df11['code'] = code\n",
    "df11['continents'] = continents"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
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