From c7407e1f1cee787dcf0dcf0ad81eb5c362282dea Mon Sep 17 00:00:00 2001
From: Yang Li <sdshiyan2005@gmail.com>
Date: Wed, 5 Jun 2024 16:09:06 +0800
Subject: [PATCH] export4matlab

---
 python/4_export_for_matlab.ipynb              | 1232 +++++++++++++++++
 ...I_NY.GDP.PCAP.KD_DS2_en_csv_v2_2252313.csv |  269 ++++
 python/data/cntrylabel2.tsv                   |  250 ++++
 3 files changed, 1751 insertions(+)
 create mode 100644 python/4_export_for_matlab.ipynb
 create mode 100644 python/data/API_NY.GDP.PCAP.KD_DS2_en_csv_v2_2252313.csv
 create mode 100644 python/data/cntrylabel2.tsv

diff --git a/python/4_export_for_matlab.ipynb b/python/4_export_for_matlab.ipynb
new file mode 100644
index 0000000..967e861
--- /dev/null
+++ b/python/4_export_for_matlab.ipynb
@@ -0,0 +1,1232 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "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 scipy.io as sio\n",
+    "from concentrationMetrics import Index"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "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>region</th>\n",
+       "      <th>year</th>\n",
+       "      <th>gdppc</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>ARG</td>\n",
+       "      <td>1960</td>\n",
+       "      <td>5642.765138</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>AUS</td>\n",
+       "      <td>1960</td>\n",
+       "      <td>19378.325276</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>AUT</td>\n",
+       "      <td>1960</td>\n",
+       "      <td>13031.031769</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>BDI</td>\n",
+       "      <td>1960</td>\n",
+       "      <td>213.396881</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>BEL</td>\n",
+       "      <td>1960</td>\n",
+       "      <td>13021.652323</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   region  year         gdppc\n",
+       "7     ARG  1960   5642.765138\n",
+       "11    AUS  1960  19378.325276\n",
+       "12    AUT  1960  13031.031769\n",
+       "14    BDI  1960    213.396881\n",
+       "15    BEL  1960  13021.652323"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "gdppc = pd.read_csv(\"data/API_NY.GDP.PCAP.KD_DS2_en_csv_v2_2252313.csv\", skiprows=4).drop(\n",
+    "    columns=[\"Country Name\", \"Indicator Name\", \"Indicator Code\", \"Unnamed: 65\"]\n",
+    ").melt(id_vars=\"Country Code\",var_name='year', value_name='gdppc').dropna().rename(columns={'Country Code':'region'})\n",
+    "gdppc['year'] = gdppc.year.astype(int)\n",
+    "gdppc.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Load region-product data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "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>year</th>\n",
+       "      <th>region</th>\n",
+       "      <th>prod</th>\n",
+       "      <th>export</th>\n",
+       "      <th>regionsum</th>\n",
+       "      <th>prodsum</th>\n",
+       "      <th>yearsum</th>\n",
+       "      <th>rca</th>\n",
+       "      <th>binrca</th>\n",
+       "      <th>pivec_p</th>\n",
+       "      <th>pivec_m</th>\n",
+       "      <th>pivec_c</th>\n",
+       "      <th>pci</th>\n",
+       "      <th>pci_m</th>\n",
+       "      <th>pci_p</th>\n",
+       "      <th>pci_c</th>\n",
+       "      <th>pcil_m</th>\n",
+       "      <th>pcil_p</th>\n",
+       "      <th>pcil_c</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1962</td>\n",
+       "      <td>ABW</td>\n",
+       "      <td>001</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>6.782654e+08</td>\n",
+       "      <td>1.234760e+11</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.008395</td>\n",
+       "      <td>0.002745</td>\n",
+       "      <td>0.003898</td>\n",
+       "      <td>-0.058055</td>\n",
+       "      <td>-2.307477</td>\n",
+       "      <td>-0.919122</td>\n",
+       "      <td>-1.095074</td>\n",
+       "      <td>-0.006335</td>\n",
+       "      <td>-0.007716</td>\n",
+       "      <td>-0.004269</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1962</td>\n",
+       "      <td>AFG</td>\n",
+       "      <td>001</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>8.181017e+07</td>\n",
+       "      <td>6.782654e+08</td>\n",
+       "      <td>1.234760e+11</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.008395</td>\n",
+       "      <td>0.002745</td>\n",
+       "      <td>0.003898</td>\n",
+       "      <td>-0.058055</td>\n",
+       "      <td>-2.307477</td>\n",
+       "      <td>-0.919122</td>\n",
+       "      <td>-1.095074</td>\n",
+       "      <td>-0.006335</td>\n",
+       "      <td>-0.007716</td>\n",
+       "      <td>-0.004269</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1962</td>\n",
+       "      <td>AGO</td>\n",
+       "      <td>001</td>\n",
+       "      <td>9682.848633</td>\n",
+       "      <td>1.311828e+08</td>\n",
+       "      <td>6.782654e+08</td>\n",
+       "      <td>1.234760e+11</td>\n",
+       "      <td>0.013437</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.008395</td>\n",
+       "      <td>0.002745</td>\n",
+       "      <td>0.003898</td>\n",
+       "      <td>-0.058055</td>\n",
+       "      <td>-2.307477</td>\n",
+       "      <td>-0.919122</td>\n",
+       "      <td>-1.095074</td>\n",
+       "      <td>-0.006335</td>\n",
+       "      <td>-0.007716</td>\n",
+       "      <td>-0.004269</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1962</td>\n",
+       "      <td>AIA</td>\n",
+       "      <td>001</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>6.782654e+08</td>\n",
+       "      <td>1.234760e+11</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.008395</td>\n",
+       "      <td>0.002745</td>\n",
+       "      <td>0.003898</td>\n",
+       "      <td>-0.058055</td>\n",
+       "      <td>-2.307477</td>\n",
+       "      <td>-0.919122</td>\n",
+       "      <td>-1.095074</td>\n",
+       "      <td>-0.006335</td>\n",
+       "      <td>-0.007716</td>\n",
+       "      <td>-0.004269</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1962</td>\n",
+       "      <td>ALB</td>\n",
+       "      <td>001</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>2.301677e+06</td>\n",
+       "      <td>6.782654e+08</td>\n",
+       "      <td>1.234760e+11</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.008395</td>\n",
+       "      <td>0.002745</td>\n",
+       "      <td>0.003898</td>\n",
+       "      <td>-0.058055</td>\n",
+       "      <td>-2.307477</td>\n",
+       "      <td>-0.919122</td>\n",
+       "      <td>-1.095074</td>\n",
+       "      <td>-0.006335</td>\n",
+       "      <td>-0.007716</td>\n",
+       "      <td>-0.004269</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   year region prod       export     regionsum       prodsum       yearsum  \\\n",
+       "0  1962    ABW  001     0.000000  0.000000e+00  6.782654e+08  1.234760e+11   \n",
+       "1  1962    AFG  001     0.000000  8.181017e+07  6.782654e+08  1.234760e+11   \n",
+       "2  1962    AGO  001  9682.848633  1.311828e+08  6.782654e+08  1.234760e+11   \n",
+       "3  1962    AIA  001     0.000000  0.000000e+00  6.782654e+08  1.234760e+11   \n",
+       "4  1962    ALB  001     0.000000  2.301677e+06  6.782654e+08  1.234760e+11   \n",
+       "\n",
+       "        rca  binrca   pivec_p   pivec_m   pivec_c       pci     pci_m  \\\n",
+       "0  0.000000       0  0.008395  0.002745  0.003898 -0.058055 -2.307477   \n",
+       "1  0.000000       0  0.008395  0.002745  0.003898 -0.058055 -2.307477   \n",
+       "2  0.013437       0  0.008395  0.002745  0.003898 -0.058055 -2.307477   \n",
+       "3  0.000000       0  0.008395  0.002745  0.003898 -0.058055 -2.307477   \n",
+       "4  0.000000       0  0.008395  0.002745  0.003898 -0.058055 -2.307477   \n",
+       "\n",
+       "      pci_p     pci_c    pcil_m    pcil_p    pcil_c  \n",
+       "0 -0.919122 -1.095074 -0.006335 -0.007716 -0.004269  \n",
+       "1 -0.919122 -1.095074 -0.006335 -0.007716 -0.004269  \n",
+       "2 -0.919122 -1.095074 -0.006335 -0.007716 -0.004269  \n",
+       "3 -0.919122 -1.095074 -0.006335 -0.007716 -0.004269  \n",
+       "4 -0.919122 -1.095074 -0.006335 -0.007716 -0.004269  "
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "trade = pd.read_parquet('data/cleaned.parquet')\n",
+    "trade.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## transform and calculate metrics"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "R0 = 0.115"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "count    3.335355e+06\n",
+       "mean     3.586094e-01\n",
+       "std      2.806920e-01\n",
+       "min      0.000000e+00\n",
+       "25%      1.172252e-01\n",
+       "50%      3.212149e-01\n",
+       "75%      5.881455e-01\n",
+       "max      1.005534e+00\n",
+       "Name: avgrca_p, dtype: float64"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "## transform with R0 and project\n",
+    "df = trade.assign(llrca = np.log(1+trade.rca/R0)/np.log(1+1/R0))\n",
+    "df['bin'] = df.export>0\n",
+    "df['avgrca_part_p'] = df.llrca*df.pivec_p\n",
+    "df['avgrca_part_m'] = df.llrca*df.pivec_m\n",
+    "df['avgrca_part_c'] = df.llrca*df.pivec_c\n",
+    "df['avgrca_p'] = df.groupby(['year','region'])['avgrca_part_p'].transform(sum)\n",
+    "df['avgrca_m'] = df.groupby(['year','region'])['avgrca_part_m'].transform(sum)\n",
+    "df['avgrca_c'] = df.groupby(['year','region'])['avgrca_part_c'].transform(sum)\n",
+    "df['diversity'] = df.groupby(['year','region'])['binrca'].transform(sum)\n",
+    "df.avgrca_p.describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "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>year</th>\n",
+       "      <th>region</th>\n",
+       "      <th>prod</th>\n",
+       "      <th>export</th>\n",
+       "      <th>regionsum</th>\n",
+       "      <th>prodsum</th>\n",
+       "      <th>yearsum</th>\n",
+       "      <th>rca</th>\n",
+       "      <th>binrca</th>\n",
+       "      <th>pivec_p</th>\n",
+       "      <th>...</th>\n",
+       "      <th>rct_p</th>\n",
+       "      <th>rct_m</th>\n",
+       "      <th>rct_c</th>\n",
+       "      <th>rct_demean_p</th>\n",
+       "      <th>rct_demean_m</th>\n",
+       "      <th>rct_demean_c</th>\n",
+       "      <th>proj_p</th>\n",
+       "      <th>proj_m</th>\n",
+       "      <th>proj_c</th>\n",
+       "      <th>eci_part</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1962</td>\n",
+       "      <td>ABW</td>\n",
+       "      <td>001</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>6.782654e+08</td>\n",
+       "      <td>1.234760e+11</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.008395</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>-0.766895</td>\n",
+       "      <td>-1.179861</td>\n",
+       "      <td>-1.066510</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1962</td>\n",
+       "      <td>AFG</td>\n",
+       "      <td>001</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>8.181017e+07</td>\n",
+       "      <td>6.782654e+08</td>\n",
+       "      <td>1.234760e+11</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.008395</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>-0.766895</td>\n",
+       "      <td>-1.179861</td>\n",
+       "      <td>-1.066510</td>\n",
+       "      <td>-0.000000</td>\n",
+       "      <td>-0.000000</td>\n",
+       "      <td>-0.000000</td>\n",
+       "      <td>-0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1962</td>\n",
+       "      <td>AGO</td>\n",
+       "      <td>001</td>\n",
+       "      <td>9682.848633</td>\n",
+       "      <td>1.311828e+08</td>\n",
+       "      <td>6.782654e+08</td>\n",
+       "      <td>1.234760e+11</td>\n",
+       "      <td>0.013437</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.008395</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.117628</td>\n",
+       "      <td>0.268855</td>\n",
+       "      <td>0.202484</td>\n",
+       "      <td>-0.649267</td>\n",
+       "      <td>-0.911006</td>\n",
+       "      <td>-0.864026</td>\n",
+       "      <td>-0.000908</td>\n",
+       "      <td>-0.001703</td>\n",
+       "      <td>-0.000864</td>\n",
+       "      <td>-0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1962</td>\n",
+       "      <td>AIA</td>\n",
+       "      <td>001</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>6.782654e+08</td>\n",
+       "      <td>1.234760e+11</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.008395</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>-0.766895</td>\n",
+       "      <td>-1.179861</td>\n",
+       "      <td>-1.066510</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1962</td>\n",
+       "      <td>ALB</td>\n",
+       "      <td>001</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>2.301677e+06</td>\n",
+       "      <td>6.782654e+08</td>\n",
+       "      <td>1.234760e+11</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.008395</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>-0.766895</td>\n",
+       "      <td>-1.179861</td>\n",
+       "      <td>-1.066510</td>\n",
+       "      <td>-0.000000</td>\n",
+       "      <td>-0.000000</td>\n",
+       "      <td>-0.000000</td>\n",
+       "      <td>-0.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 38 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   year region prod       export     regionsum       prodsum       yearsum  \\\n",
+       "0  1962    ABW  001     0.000000  0.000000e+00  6.782654e+08  1.234760e+11   \n",
+       "1  1962    AFG  001     0.000000  8.181017e+07  6.782654e+08  1.234760e+11   \n",
+       "2  1962    AGO  001  9682.848633  1.311828e+08  6.782654e+08  1.234760e+11   \n",
+       "3  1962    AIA  001     0.000000  0.000000e+00  6.782654e+08  1.234760e+11   \n",
+       "4  1962    ALB  001     0.000000  2.301677e+06  6.782654e+08  1.234760e+11   \n",
+       "\n",
+       "        rca  binrca   pivec_p  ...     rct_p     rct_m     rct_c  \\\n",
+       "0  0.000000       0  0.008395  ...  0.000000  0.000000  0.000000   \n",
+       "1  0.000000       0  0.008395  ...  0.000000  0.000000  0.000000   \n",
+       "2  0.013437       0  0.008395  ...  0.117628  0.268855  0.202484   \n",
+       "3  0.000000       0  0.008395  ...  0.000000  0.000000  0.000000   \n",
+       "4  0.000000       0  0.008395  ...  0.000000  0.000000  0.000000   \n",
+       "\n",
+       "   rct_demean_p  rct_demean_m  rct_demean_c    proj_p    proj_m    proj_c  \\\n",
+       "0     -0.766895     -1.179861     -1.066510  0.000000  0.000000  0.000000   \n",
+       "1     -0.766895     -1.179861     -1.066510 -0.000000 -0.000000 -0.000000   \n",
+       "2     -0.649267     -0.911006     -0.864026 -0.000908 -0.001703 -0.000864   \n",
+       "3     -0.766895     -1.179861     -1.066510  0.000000  0.000000  0.000000   \n",
+       "4     -0.766895     -1.179861     -1.066510 -0.000000 -0.000000 -0.000000   \n",
+       "\n",
+       "   eci_part  \n",
+       "0       0.0  \n",
+       "1      -0.0  \n",
+       "2      -0.0  \n",
+       "3       0.0  \n",
+       "4      -0.0  \n",
+       "\n",
+       "[5 rows x 38 columns]"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['rct_p'] = np.where(df.avgrca_p>0,df.llrca/df.avgrca_p,0)\n",
+    "df['rct_m'] = np.where(df.avgrca_m>0,df.llrca/df.avgrca_m,0)\n",
+    "df['rct_c'] = np.where(df.avgrca_c>0,df.llrca/df.avgrca_c,0)\n",
+    "df['rct_demean_p'] = df.rct_p-df.groupby('prod').rct_p.transform('mean')\n",
+    "df['rct_demean_m'] = df.rct_m-df.groupby('prod').rct_m.transform('mean')\n",
+    "df['rct_demean_c'] = df.rct_c-df.groupby('prod').rct_c.transform('mean')\n",
+    "df['proj_p'] = np.where(df.avgrca_p>0, df.pci_p * df.llrca * df.pivec_p / df.avgrca_p,0)\n",
+    "df['proj_m'] = np.where(df.avgrca_m>0, df.pci_m * df.llrca * df.pivec_m / df.avgrca_m,0)\n",
+    "df['proj_c'] = np.where(df.avgrca_c>0, df.pci_c * df.llrca * df.pivec_c / df.avgrca_c,0)\n",
+    "df['eci_part'] = np.where(df.diversity>0,df.pci * df.binrca/df.diversity,0)\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>year</th>\n",
+       "      <th>region</th>\n",
+       "      <th>avgrca_p</th>\n",
+       "      <th>avgrca_m</th>\n",
+       "      <th>avgrca_c</th>\n",
+       "      <th>proj_p</th>\n",
+       "      <th>proj_m</th>\n",
+       "      <th>proj_c</th>\n",
+       "      <th>eci</th>\n",
+       "      <th>bin</th>\n",
+       "      <th>gdppc</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1962</td>\n",
+       "      <td>ABW</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1962</td>\n",
+       "      <td>AFG</td>\n",
+       "      <td>0.229441</td>\n",
+       "      <td>0.075256</td>\n",
+       "      <td>0.101934</td>\n",
+       "      <td>-1.007255</td>\n",
+       "      <td>-1.725521</td>\n",
+       "      <td>-1.162990</td>\n",
+       "      <td>-0.067015</td>\n",
+       "      <td>39</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1962</td>\n",
+       "      <td>AGO</td>\n",
+       "      <td>0.413560</td>\n",
+       "      <td>0.180938</td>\n",
+       "      <td>0.240246</td>\n",
+       "      <td>-0.870960</td>\n",
+       "      <td>-1.279847</td>\n",
+       "      <td>-0.896124</td>\n",
+       "      <td>-0.060397</td>\n",
+       "      <td>134</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1962</td>\n",
+       "      <td>AIA</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1962</td>\n",
+       "      <td>ALB</td>\n",
+       "      <td>0.211957</td>\n",
+       "      <td>0.075734</td>\n",
+       "      <td>0.103582</td>\n",
+       "      <td>-0.996652</td>\n",
+       "      <td>-1.301794</td>\n",
+       "      <td>-0.791606</td>\n",
+       "      <td>-0.079119</td>\n",
+       "      <td>24</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   year region  avgrca_p  avgrca_m  avgrca_c    proj_p    proj_m    proj_c  \\\n",
+       "0  1962    ABW  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
+       "1  1962    AFG  0.229441  0.075256  0.101934 -1.007255 -1.725521 -1.162990   \n",
+       "2  1962    AGO  0.413560  0.180938  0.240246 -0.870960 -1.279847 -0.896124   \n",
+       "3  1962    AIA  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
+       "4  1962    ALB  0.211957  0.075734  0.103582 -0.996652 -1.301794 -0.791606   \n",
+       "\n",
+       "        eci  bin  gdppc  \n",
+       "0  0.000000    0    NaN  \n",
+       "1 -0.067015   39    NaN  \n",
+       "2 -0.060397  134    NaN  \n",
+       "3  0.000000    0    NaN  \n",
+       "4 -0.079119   24    NaN  "
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cntryagg = df.groupby(['year','region'])[['avgrca_part_p','avgrca_part_m','avgrca_part_c','proj_p','proj_m','proj_c','eci_part','bin']].sum().reset_index().rename(columns={'avgrca_part_p':'avgrca_p','avgrca_part_m':'avgrca_m','avgrca_part_c':'avgrca_c','eci_part':'eci'})\n",
+    "cntryagg = cntryagg.merge(gdppc,how='left')\n",
+    "cntryagg.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(57, 249)"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cntryagg.year.nunique(),cntryagg.region.nunique()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## plot figures in main text and SI"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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n14q1MkMIaI1Ha8m4ypm0FohApLVJsrrzycxmVGo653E21Q9Sdv1oBYQj/Zt1+vRpzp49e9lzZ8+eZTweU1XVNV83Ho/7mkHPgSCEwIc+9CEAvuIrvuIO383BYq/yaKYkRSbxPg2KddajZGoBTUNjKfUDkClJrlNSxMiAWPgbj8uMWZWzVRsuzjpciGxUGYVWGB8IATYGGblWtNYz6ucMDg/Pf/7z+a3f+q3LnnvPe97D85///Dt0Rz09PY+XpbxE4zwCgVbJs3iQSXZdyv+nXb8jAsY5GpNaQrWWaCWYNCAl5EpSKEmIyef45FqJkhINNC4QEZgQKJVkoCXHhgWjMqPzgSrEQ1FEfrQcqmAwm834+Mc/vnr8yU9+ko985CNsbm7y5Cc/mde97nU8+OCDvPWtbwXgu7/7u/mFX/gFfvAHf5Bv//Zv57d/+7d5+9vfzjvf+c479SX09PQ8DlrjuDA3NMajpEBLgQ8S60NyJisVTRewLtI5S2uhtoGqyDk+yMhzCQhqY6m0Ii80SslVDaDMFGWuqIqMYyO1UC9N/3eu5UrqOkaOlGIpHLJg8KEPfYgXvehFq8evfe1rAXjlK1/JW97yFh5++GE+/elPrz7+1Kc+lXe+8518//d/Pz/7sz/Lk570JH7pl36Jl770pbf93nt6eh4fzgcuzLrkSFZmxJhcx1rrybXEiUBnPLu15cK8S2mkECmU5PS4YHOtwvpACBEpBSFEWhs4nl9yK9NKsl5mdMbjFikoLZNHcrGQoPALjaOjVkQ+VMHghS98Idcbi9hvuviFL3whf/RHf3QL76qnp+d2MO8cjfWUecrZWxdS5xCCeWcxPjBpDMMi496NAT4EtucWYz1nJg1Ta1FCpY4hIRAkzaITw8ud5IpMcWyYMzcpyCzlq5ccRcVSOGTBoKen54mJD5HWeUDQdg6/KPrqxRxA3TjO7LYMM83GRo5WabagzNMA2rS1eDzjQiKkSLt7CTYkVdPiCuG5MlPYhd+xVIK4SBcdVcVS6INBT0/PISDEiEBgvcf5S4b2QqQEfoyCxgYGRVgN5wkh8AsdIS0lIcD6IEeIiHHJzKYNSa6CCCfWilVA0EqyVmha6+l8IC7MbI6qYin0waCn50CTZRnf+73fu3r/iYoUAh8Cs8ZhQ8CGgCB1A0kpMM5DDKgoFkJyabEORIip4KtEajH1yx2/hFylXf60s2gt2aiyywLCSEmqPS2sRy01tJc+GPT0HGCEEGxsbNzp27jjxBjpXMDFQJFJYoxIIWmdJ0SYtQ6ItCGyXXcoJdEClJBYkrjcus4wCwE6pQSllmRaoSQIobA+7Ds/oKQ4Ul1D16IPBj09PQee1noyLRkWGdZ5hBC4EHA+MuscSkJVaFrj8XkSobMu4mJAA1FEhBQ4nzqJcq3IpCSNpAmEiBRaHcn5gUdLHwx6eg4w3nve9773AfDiF78YpY5e4fKR8CEytw6BAAHzzrO0FJBykUICJAITA7XxDHNFlPDwdoNxnnuODSh0ci0bLlRLO+dXA2ellmRK0Ln4uOcH/CFNK/XBoKfnAOO9X6nsvvCFL3xCBgPjPLtziw2BGMB4T+cikggi0nZJkbTMNCfXiqRQWgds8FS5psoVJwYFea7ZqTtiAy5EMpX8jSGlgqx/fPMDbpFm2ltwLtThKTj3waCnp+dAcK0ddW0c09aQKYUPgTJTxOg4O+3YnVtCjIxKzVquIQSUkETpqYRmo9IopahKRZkpXMjYnhsyJRhoBRF8DMwNGGdYKzJieeMidM6nFlW/CDJSQIjQuoBdOKYd9IDQB4Oenp47yvV21EIIJk0yqW+tpbEe4zzOp06iUksmxmFdYLc1mKAYZBk7rSGTmsZ7pIBToWTtmObeYwPWy5zWOqJIukZKSnwI5FqBhGnnbnjxbq3Hh3jZ/IESoGQakDsMwnZ9MOjp6blj7N1RS5EKuSBWO2oRIxfnhjyT4ALN3AGCuXHMWpsKx1pTKLEYLnPs1gbjAqfW0vONDTw8aQhETo8rylzR2NRmWiwkwctMrdI5N7p4+5CkrrNrXJ8peSgK030w6OnpuWO01tNZjwDqK04GzkNnPCFGxnlOJgNaGYKPWO/pXGC9yKiGEmsDc+cWrmWRTEgmrSWKNI08zFJKaN45hBBYHzixVlJm6qq01I0u3iFGYoRrXXpYhO0O9rmlp6fnyOJDpDaOzgVaF9BSJptKKWld6gqaW0eVaYwP5FoyyDVSSbRUbFQFNgR8CEl4zidTmoHWBJEWfmM9w0yR54oiV7Q+4BbXE9PCf+WCv3fxfjSkEw0rddMrCYsAd9CF7fqTQU9Pz21jWSSOEVwIzFqHlIIqv7QULXPtk8ZgfGC9ytipDfPWYlyg6SxbdcuktjTGsT4oUQIGuWStKCi0RARJJtNMgQ8BLRQKqK1DVBnDQtO5wGCf3f+NLt5KJj+F1oWVoc5eDouwXR8MenoOMFmW8T3f8z2r9w8ryyLx3DpaE7A+EENkqzasVzmZCit56EvuZQrnLXqxe29dYN5Zzk9bPnNhzpnthiBgc2hYH2TszCRCg5IlmZbkShMInJ8ZlBBIKSkyzXqVY71nbhwhZlelbvZbvB9pdmApbNdaf1k30WEStuuDQU/PAUYIwalTp+70bTwulkXiznk6m/yDC61orUt6Q21HIKCFTOmZhSy1C4FCS+rOETypY6ixfGZrzta0pcwETggmrWFuLVpKopB4J/jce0YpGMSA0kmWujGO48MCEwKdTWmo7XkKJLmS+y7eyyBWW7/yQRjsKTYvOQrCdn0w6OnpuaUs2y6XE17LlJCSGdM2tY1enBpyJTg2LCBA4xwhRLQUnJ927Mw7psYxqS3nJh2t9xS5JkcwCRLlAzIHiedCXXN+krMxiORakmtFs5C/hpgUTHXkRFYQY2SnNgwLTbZoVV0u3s4HHt5t2K0NIQog4EM6BRwb5ZwYFlcFhMMsbNcHg56eA4z3nv/5P/8nAF/2ZV926CaQl22XUqQJ32X7pQ+RGCODTHPBdGRK4APstobgQavkOXBx3rHbGOa15UJjObc9Y2YdG1WOsR4jBGuZoHWCxngKKRkVCggopTDe4yMMcsXxYU6eaerOoZRgWGoKrZh3jlwJxlW+Wrx35x1/eW7KJy5MmTWW3daBT2Y4a1XGsUHG596zzlOOj67a9R9WYbs+GPT0HGC897z//e8H4AUveMGhCwbLYrEQabccfGDWJoE5IZPURGMd4yIjkhzIhmWGC57OeSad5cx2g42R1jh2GoezHpcpXADwFEVGHgVepunjXCtKrdESnnRsiBQS4wJKwbSxDApFiWZr1pErSZVrXIhYH3AetuuWv3howl9fnDPvHF3nV11LLga0gsY6AimddNe4OhRpoEeiDwY9PT23jGXbpQuRaWeZNY4YI1pJiiyZ0yshmLeWIASjMkNKCC55Dpgu8NDuHBciVZ6hlAApOTftUEKCigig1IpMC2ZdZBxBKjAhUGWaUZVxdrchhBScXIhszTqMWxSyiQwyxV3rJVEIHtyep4E2IsYG5s4TfAQi27WltZ7jg5IHd+fcs1OyXuUHfrr40dAHg56enltKCIGduaU1qWA8rrJVsbbpPESYGc+oyFALS8qZ8cw6x4M7c5oupZm2raGzkUILOhOZdh1Fpoh5hvEBYwMhBCQZk8ajOs9n9Ixjo5JZl4rXPqZTSSYEOlMY69huLIUUdN6TK8XDOw3BBT6z3TJr7SLVlIreuRZMWoeSBm0kZ6Ytd21UVLk+VPWB/eiDQU9Pz01nr97QpHVsNx3Wpl38vLNoqZJAnHU4H1IOv0gDZ1uzlod3GySC1kaKXDLIMlxMO/q2s8iF9/G0tcnxLJMYC+NKU2QZs9ZQ5pLP7DRcnBsisFEVVIWiyBRCwMVpS+s8UkpsjJzfNfgYOTfvkHguzmp2a0tEkOvUllpqRRSS4AJOQ9066tYRxgd7uvjR0AeDnp6em8qVekOZlIzLnIeaGrd4LuIJ3qGlYq3K8SFifRpEMyHQmQAisj7QtJ3Fhsig0FSFZmY9KkQGuWTeeQgRLRRrI8XmWkVYTI0VWpNnEokgiogJnkHUaCGZGcvFxjBc+BhoKdhtLdN5y/m2Yy3LiULSuUBAgoCmsygpEYDONFJErI/YkOoih50+GPT09Dxu9g5l7VXwtD75FROTqYwPUCgwHrbmHrFwGstyibGe1jhmrUMJmBqXUkkh0DSG7VlExMCxXBGFABTZwrpyvVDkWqFFREnNvZsVmZAEImtlhg8B4wIz22GC5ty0pbOBQgiEjZytW85PW9ouKaNOMkOZKXKtaZ1fzENEIobjw5JBLlFKki+CyQFXmnhU9MGgp6fnMXOl/HSMkcb6VSBwPtKYNLA1LDTTxnF+bpAiGct0LuDajkprCJFWwLx1bNcdu62hNgFnA0JEahMIMZJrxfqwoHWOTCavgirXeA9SRAaFpO48VRHRQiBkxNpA5xwRTaUEA6VReWRaW2amIQJ112GtJ9ea83ODihatQAlB2yUBvFGpqHKBEIJhJlmrNINMH3jdoUdDHwx6eg4wWmu+8zu/c/X+QWI/Q5e5cWzNOiKRTEpcgIuzFiUkVa7YmrXUNnByrUAISdN4dmaWfE2yVqZC8G7d8cDFGUpr1kvNvOnoukimJcFHtIIYAutVwUaVUyjBqNDstg4lJc5FlPSslQXWeWKAxlimjUNnqRhcd5ZJ5zg3awku4GNkMncIJRipyFArwGGdBAl5LshExlqRMR4UrJcZJ4YZx4cFa1V26IvH0AeDnp4DjZSSe++9907fxr5caejifJJ58ATaNpDrQJ6pZFpvLWdnDU2XZgpCBGsDTfCMS02+8BEwLgUWpTXOeyYthCApSpFmBUTEB2h95FSZsVYojI9EIrmSKJnSN8NcUmnNrLVs1TXWp3RUZxzTxrHTdHjnQQiM90znhi7CQCnqziOkYK2oiGUgk4rjA83aoOTe9QGbo5xs0cp6fK1kWByNZfRofBU9PT23lf0MXVrrASikohEBsRj2yhaDci4k2ehARArYHBXIWixmEJJZzbQzPLTT0raG1nmCSEb3AxRSC7oOxmUByyE2AQgolSYA3keM92AjF+YNrUvtq7nWFIVg3oExHXXnqBuLj4IgAkjNQESMi4wKxcYgJ31pSTZbKUWVp9NNniuqTLI5KLhrXB6JgTPog0FPz4HGe8///t//G4Av/dIvPTATyFcauqRuoKVbmaDUkt3WMMg1g1IxawJCJO2hYaGpco1WgijB28C0M2zPkjT1mZ0W48LChCaZ28y1YlRqhE7DaqNSs14oAoCIFBqkUHxmVjNrDTYINgc5g0JzrMoxPtJ2jp25IfhAnmta6zDGU+UZIoJSkswLilygVWp9VQKGuWZUaD7v7nXuPTakzDSDXDE8BL7GN0IfDHp6DjDee9773vcC8CVf8iUHJhgsJ4utjwgR93QTgVyofs5ajxACKZKCp5aCUa5xMekSnd1p2ak7HHBhp2W3tdQmCdRJkQJNWWVJ8jpeMrHxLtC5wE60FJkik5LtWTpJmBDZGBaUuSKXisZ65p2l9Z6IQMlUEFYI5LDkQdtSO0ulNJtVAUIgRZor6KxHScmgzLh7o+JzT2+wPswPnQDdo+XQhbU3velN3H///ZRlyfOe9zz+4A/+4JrXvuUtb0EsdirLt7Isb+Pd9vQcTWJMHToXZx2TxrJbW6atpXNhIT8dWasUm4OcjSrn5LhkVCWD+nnneHin5q+35lyctew2HbUL2JAE4hrrUUqw23nmnU+DXg62p4btXYOQEUnyQuhswPvAzDgCSVG0yjWnRgVSSWat5cHdmq2ZYdYYiJHWRTof6axDE8FLnPfMWkuuL7WMHhuW3L1RcXpUcP+JIevDfF9ntKPCoToZ/Nqv/Rqvfe1refOb38zznvc83vjGN/LSl76Uj33sY9fUfB+Px3zsYx9bPRZHoAWsp+dOsuwiIskEMe8sPsCk7diaCYpMoqWgzHTSAvIh+REHsNajpWZn3rA968iFxIi0ezcu0Plkhdl6T/Rgiew4z6Qx4AMqV0ybQMCRC0EQkbOzltZYhlnB+lpGZyMPbrVILZm3HRfnjipTQCTLJM5HvBfYkAx1ylwhYypKb80Mp0YFd60VlJlESsnpzQGn1qoj0T56PQ5VMPjX//pf8+pXv5pv+7ZvA+DNb34z73znO/nlX/5lfviHf3jf1wghOH369O28zZ6eQ8/1nL1S109AS4GIySVAShiXOVvzDmMjRanpnKMxAQQYk7yH81xzfqfl/52boWSkrBTCRRobmHcGGyIheDqXdvkz4+hcMrcZDxSl1JhgUUaTKY2sA7ttR916uiLNEhgPxhuUUszmlplxC00iGPpkgBNissnMlcLFQCEFm3nOsZFmlGdsVDkeuGe95J6N6si0j16PQxMMjDF8+MMf5nWve93qOSklL3nJS/jgBz94zdfNZjOe8pSnEELgi7/4i/nJn/xJvuALvuC6/9dkMrnscVEUFEXx+L6Anp5DwJVDZEJAoS4ZvnQ2uYO5haS08ZFRocm0RC5URzub8vvz1mFcQErovE/qpI1l2lmcT7LQW+cMiMBO7Wg7g4skn2MX2G06MgmVVAQkIUiMCGgXidEyaxvazjA1HnxgVOYAlEVOBDJlybVGdZHdxuKtJ8SCshAMMsmwyIgRcimRMbI5zDg1Lim0ZnOYszkqOLlRMsyzQ2Fb+Xg5NMHgwoULeO+56667Lnv+rrvu4qMf/ei+r3n605/OL//yL/OMZzyD3d1d3vCGN/CCF7yAP/uzP+NJT3rSNf+v++6777LHr3/96/nxH//xx/019PQcVHyIGOeZm9QeutfHt3UBGyKVlkw6t5owRiTpaOMDxofUdqkkSgi0SjvpezYH7DQGs9VQG8v5WUsgKZZO6o5J6/A+KZSykIy2IeKSmCmdhKA8QkaaLpJJaDrPrOuYtGA6cIuvQe4aMgkbA8NwoBjoghB9OplYh4DF/wNrRToBRAHDTDAsMk6sl5walOS55NS4Yn2YMcz0obGtfLwcmmDwWHj+85/P85///NXjF7zgBXze530e/+7f/Tv++T//59d83QMPPMB4PF497k8FPUeVvSeBWWMxPrJW6pQCkhIlQElFaz07tUVIQZWnWgAIBKkmMO9SYXiQaaSE9UFGJHUEVTotqA/vNnTGs9u1PLTdMOssmZZMG0NjAmUmsRFmDSgNxyqBixHjIIuBoARbc8+kdcwD+H2+Hhmgm0FRe46Pa7od0AqqXKYmEumJaKzx7HYdJ0cVo0HBuFI8aWPA/SdGZEqyPjjaxeL9ODTB4MSJEyilOHv27GXPnz179lHXBLIs44u+6Iv4+Mc/ft3rxuPxZcGgp+dOobXmla985er9m8mV6qKIlKfvXMCFlP5Z7oilEMyMY3OYfIMbk7wBahsAyLXEh0DrHFIK7CxSdw4izDvHVt1xYdKy3VouTDoaZ+isp209jY+0NimW5lpQ5qTTA2mWQUloHUxrz9SDvc7XFIAGaALs7sAI0DqdRPIMKqFRQuBjpJSKu9dLqiJjc5BxemNAphXDXD0h0kJXcmjOPnme8+xnP5v3ve99q+dCCLzvfe+7bPd/Pbz3/N//+3+5++67b9Vt9vTcVKSU3H///dx///1EBNaHZC5/HfzCwvGRrtsrJ5EaZQSZSjMCPsTVRHEiJmlo0vUR2J0bpnOLFKRawswyby1N57kwbYghJmOb2jCpHRfmLVuTmp3G4myaR6hdZNpAY2CrgWmd5CZihGkNO1O4OIWLDWw9QiC4kghMSYGkddBYEDFSFDJNGGeSxnmqLA2oZTLNFzwRAwEcopMBwGtf+1pe+cpX8pznPIfnPve5vPGNb2Q+n6+6i771W7+Ve++9l5/6qZ8C4Cd+4if40i/9Up72tKexs7PDT//0T/OpT31qJfzV03MYeKSi7o1eB1fLSSyHyEIEJVLNwPo0TJZSJQIpkzx1azxbtWGnscw6x9lZm6aKM42UkkltqI3nYVcTouDCtOXCtOUzW/PUYWQdnU/y1XUHc38p5TPxEHxamHLS4p+qCY+dBlAGMpXqHyoETgwLhE6troNMszEsWK+yy05DTzQOVTD4hm/4Bs6fP8+P/diPcebMGZ71rGfxrne9a1VU/vSnP42Ul36Q29vbvPrVr+bMmTMcO3aMZz/72XzgAx/g8z//8+/Ul9DTc0N0xvJ7v/8hQoRnf/EXkWt1WVF3bbF47acgut91S66Uk1BSUCiZFkupiDFp/FivUFIRYirent1tEFKQKclaoYkusNVYWhMYF55Pd4bJ3OII1CYgQmDSWD61NePh7RofIXpoHHQ2LfZ7zx9h8a/jUmH4ZhAXn9uFSOciW3XHvZsVp8YVTzs14t7NIcUT9ESwRMR4FDx6bg6TyYT19XV2d3f7mkHPgWBrUvMv/9W/RovIa3/gB8jzfPWx1npKLRmVGbPW0rqwb4pj73VLfIjsNAYtLxVJnQ9szTrmncUt5gdGZUYmBcNCM+8sZyYtPgS2ZpaHd2t25pa5NUy7gA6BLqT0beccu3VHCIJJYxdTymBIuenuFn/frmQIbK5BpRV3bww4Nh7wN+9Z4wvv3eSZT9k8sqmhG1nTDtXJoKfnicQy9y+vkSTJlKTzgdwFOh9WLmPLjy0X+eV11Srlc+kkMDeeXEtCjLTGM+ksjUlDZcNisUAKQW09k8YSYuTcpGPaOZyP7NQtF2Yd5yYNdWOS+FyIbDWBeZM6eYRIJ4Hm1n/Lrov3UA01wyJjs9KUuaLM1WXKq09k+mDQ03NACTFNAV+ruVGKVGhtrWN3bjAu1QtYGLiPy7TwKSmIMX2+pWm78wHnA7POYmYB4z3GeqSSrFfJbyBTAkHq5tmZGz6zldI8LkTGRcbu3PDgdsOZnRlT46kbcJ40OEZKy8T9+j9vMxnplONjCowbg5y7xxXDLKPQfSBY0geDnp4DilwoaKaO/qsJMaVkZjayvUj5VFn6kzY+sDU3i3pBhhCstHVW9YUIG4Oc7ZlhbhyNDWRRsFbIlWHL1ryjc5Jca7rFPEFrHdvzjv93dspntmY01tPY1LHTcSnvf1CwpIWuyuDUWsmTNoccXyvZGBQMFjMT6poh94lDHwx6eg4QV2oCZUoSEPumiqwPhJBqArlKQ1XLIvFSOqLuPCLC8VGxek29KDQvW0iLTLEpi9UuWcn0eXZrQ2M8WgZyLWms49MX5xAjf31xymcu1nTeYwLMuxQEDlogWFIpuP/4GvefWOPEuGRzVLA5zKmKo+FffDPog0FPzwHgWm2hWqWCq4sCH5IPQIhpUXchMDOWaetSr7/xdM4zzLOU4hGC1jgkkc6lnb33kUlrGeRpyjiS0keFlhgnEQha55lPHJ+5WDO3lrpzuBC5OOu4OGsxzrE1s8w7S9dB093+gvCNct+m4v6Ta1RVzjDXbAxSG2mVqSfUlPH16INBT88d5nptocEFFB6BJIRI50IyihFgQ9Ly0VJQZYpcRSatYXveMiyyxWkhpYxaGxiVGYJUaDYuOYhVmUIKQZoni0w7y7xzTI1L9QTn2K0tTRfYrlOn0aQ1XJjXdCYy6aC909/AR+AYMCgLGuPISCcvLSXjQX5ku4geC30w6Om5w1xpLA+sNIHqEPj6v/8KBrlic61aOXE1xiF9ZFBo5sbhArgYyZSi9o5557Ba0hiPFDDIF11GWgIRJVOKqLGO2ji25gbvIxdmLecmLVWhaE2aETDOQ4i0C2OapgvsTiNzd/BPBCdzOH2sYGOUMx7m5FnqshqVmo1B/oQdMNuPPhj09NxB9jOW30uRae576mexUeWrdMbyNWWmIEZmrWXXpLZOLSWllkwbx6Sx1NZyejxgbiznpx1KQaEEiOTmNamTnLRxkc55tqYNO43l/Cx5BmdKIUREIjHWE6Nn1naEePADwRC451jO8XHJU0+scXpjSKYURaYoc90bXV1BHwx6eu4gV04CX8myfXRvx8ve1xSZQkqxMJCXKBHpbGBuHIiIEgopk66QkskrQESJkoFPXJxybrdDCZlSP7MG4yCISAZUlaY1Hh9IxeVICjJduOb9HiSOj2BYao5VOZvDirUyw3pPCGFVqO+7iC7RB4OentvM3o6hKzWBrsQ6z5//6Z8xzCXPeuYzQMjLCslCCKpMc2IIrfPUxjFpkyXlsUGOUhLjIoKUUipCZLe2tNZSm8h2bWmMxSyq1lpFOhOpQ2Cn7VBSgYg8vFszbSzbc8N8fvBPBWNSO25tPK3z7LYWqSQbZYYQcvX977lEHwx6em4T1+oYUqTuICX3kZIwlv/fb/0WWkSe/Fl/A5lpYoTGeurOMSg0UgqOjQpChMY4BC1CCNYHGU1n2TGOQif9IoDGGIyLSBGxIe381wc5Wkq2Zi2TrsO7SBscVQaVlrTGM6sN8w5q9vcSOAjkQClBSJh2EETH2iBja9ZSKMFGqVFS9l1E+9AHg56e28D1OoYiERFTIXnvxxrjaI3HRUEbNednLWuDCq1AS8HMeDpnkEIkMxqR2k+JEeNDWrg7x27dImKgzDXORS7ODaMsY1ob6i7JXezUFkUScauNZ9paiJ5Z0wKC2kQmnWViDnYgGGegFJiQJqdjhHmbhPNsCExqy8mNkrU9Ok09iT4Y9PTcBq7XMdRaj5Yp5dNah0QQibgQ0VoSEcSY5KQf3J7jQ0wWk1oSSHMIIUayRZ6pyDWmsVgfmbaeEAV+0TraWodx4HSqK0zb1BgqpCR4MN7RGAdYzk4tdQM6A+/AuMcnJX0r0Iu3gYYigyqHKDLKmHwzSyUQUYEPSYuokIzzJ65M9fXog0FPzy3mkTqGhIBJ56gyBQg8Ee8iWgu0VAQELgomtSUrMgRLaQlBCAElBYNc0XQOEyJKwM6s4VO7LZkQrJeanXkkxoz1KqOLge1Zx7mZYbd1eBsIIgUcGwLb8w4pAkRoPIiF38CNGMvcDtaAQZk0h5SEQQ5al1SFgKgRCPJMsV4pijzneFVweqMi1+qaabknMn0w6Om5xVyvY8gt5CFa4xnkmkGWTGUuNi15VAQRcFHiokBpySDXGBewPiQzmcVQGUATAvPGsdNYLtSGWWPREjwBjWRuLGGtpO0sO7MOQqSUgi0CbePoXMQ4R2NSIqhpl/aTB48cODYEqRUheKKAQmmiFOR6YeYTI1pJxmXGRpVxfFQwHuSHyN/x9tIHg56eW8Sya2hZLN6vY6i1HufjSkpZCIEQkVwng5nWenxMpwCA2jisTRPFzqc0kiD5DIsILHb2mVLcvT7AOZ92/8EgtWLezciVwLpA6zw2RCbTjrmxtA5MA2ahOqq5uQYzN5NhBoNSEVAUSuEDyHSwQgqwHiSR9VJxcqPk5HrJ5lpJiFBp3ctW70MfDHp6bjL7dQ21nScKx1p5+fCY9ZHIoqto8fyy3VQKiQmBGCMuSjrjiDJ9fuM9dJFm7imUQIkS6wKf2WmJwEZVUFtLEyNaCVwQlFqQK0meKT6zNWe3Nuw0HTutZXcG8yu+joN4IgAogJMjyen1EYMClNRcnBm254ZhEXEerLesVQX3bA45Oaw4vVYhJCgh2BhkfSfRPvTBoKfnJnJl11AIgcYGpp2lNo5Z6xhXOVUm8YuOoSpXl1kuLo1nGutRWvM1X/UVnKuTm5jSKaWklaDFEyNs14ZJYxAIzk87ikyiibQ+UBuHlGBdYF57aiXRAh7ebZkbi3Mea68OBAeRDBjncGqseerxMfedGLIx0GzXCy8GUTDMFSqTZCJy98aIU2slG4OcQalRwMm14jLHt55L9MGgp+cmsrdryPnA3KTH4ypHS0EIMO8sjRFUhaLKVFIQvSJtUWSKuUkyEZ/9tKeRXZyxNbc0c4sUkSrXHBvkCBUxVnFh3mBcCjpmClpCZx3zxuKEREjAJZXTeeeYzVvq4JPi6EE9AuyhAE4O4Gl3rfGFTzrO+lDTukBt0/f6//ucU2yUBbvWUhvPoJCsFwWDUrM5zNgclmxUGaMy6zuJrkEfDHp6bhJXdg1d2U46KDJcCIyKjM55BplCFYLWXe4CsEwzGefx3rPTeabGpc4hEdBKkStJ5wLeB5SCMtN8ZntKDIHOeWat5dykozaOXAkqrUFBazzzzuB84NxuSgWZ2/2NugEqYKOCu0YZTz61xuc96Th/49Qam8M8mdv75OWwUeUgQEtJrhVVLim0RqtL1p99auj69MGgp+cmsbdraFkP2FuoXOoMCQGDXONCoFQKG+Jq4CyEwKR1dNZT5RqRCT75yb/iwq4hDjdpbSBIKJVmkEukEsgoObs7Z3vWYX2g857ZvGPSuiRCJxUXZx1CQqlgZuDi/GAHAQV81hhOHR9xrMp52j0bPO34GvceH3DvepW6gmD1/bWLjqp+0X/s9MGgp+cmsVdnaOlfnO3RvwmLQJA0iVJgkFKwVuhVwXnWOozzrFcpnXF+p+Wdv/Vedsn5/178d9gYFqyVit3G8umLcx7arWmMZ2tmMa7F2QACvFS0JtUDTOewpH6kTKbp3IMcCDLgc45JTm6ucWyguXdjyD3jknuOVTz5+DBdc8Wi388MPH76YNBz4LnSCvKgsiz8ti4sZCXEZe2k1gdKnRYxH+IqMCgpGClJ7pJJ/VqZIQXszDs+vd2wTUEgve7ctKOxkrPbLQ/uNjy8W9OZFuuT41hj05SwEh7jko7QZVPDB9WXcsExAXcdk4xGJaUSnBxVHBvlDIoMRJLXyLTsFUdvAX0w6DmwXEvYrczUgS0ClllK+8y7tMMPITIss8XEq1h1De0NDEuEACVTqmirMVyYGnZmHQEBRHbqjod2OyatpTWe1qRr5nXqsY8RjE+7fsnBbQ3dj3VgYw3uPzVmXGYMtOLkuOTeE0NOjCru3agIwG5jqXLFsSpPuaSem0YfDHoOJNcTdrMhslY8Nn2ZKwfBbvZpw/lA3Vou1ia5ghlHlWnuGheMy2KhP+RRUlymU+RDZNpYzu7UTFvLhdrSdo6Hdlq2yYkILsw6nPdszxq254ZZDTOfFn3tLjekP6hiclcyADYr+OzTIzZGOafXh1S5JsTAidGAQmkEESkFmZTUJg3XWR8ua8ftefz0waDntnEj6Z5HEnZrrWd0A8FgecqoTZJbsIsgU+aSYaYf92nDh0jdWc5NO3yIHBsUbA5yZp1nt+nYri2lVhSFptSXTjfOBy7O2pT/32m4OOs4M2lwLjCsMibzlhkKgeAzF2tqY9ltLbMZzOOl3f9BnRS+HvdUcPdGhtI5RZ4xqgqODQqODzKCkKn2EdO8xKS1lFoipWBQaDofqEI80GnDw0YfDHpuOTea7nkkYbdMyRtaDJanjM56OhfSxK9W+BBoTSBG95hPG3u/trO7LbPOcGJYEmKSixDAuMrZrQ3T1nF8rVztaFvj+PTFGf/v3Iyzuw3WB7amLZ/antOZQK4Fk7plQk4A9KTGOJjVyVzmsOz+96METqxpRoMKLSV3jQvuHldsDnLWhzmdDzgXkq+zSG20uZSsl1ma4eidym46fTDouaU82nTP3lPDY7GCvB7LU8byyipf/tpLWpukjv2ivfNGTxvLry3G9HiU58yto6s9pVZkKmkMKSk5P22pCs1d4xIlBWemLX99Yc6sdWRKMG0cO50D0snpQt2wM+moF8nxByZwTO1TFD5kKOCudajKHO8Dd29UfN7pYxS5psgVU5Mmq8dlhhSCQaHYqAps8BSZWuk39U5lN5eDWYW7Dm9605u4//77KcuS5z3vefzBH/zBda//L//lv/C5n/u5lGXJF37hF/Jbv/Vbt+lOe+DydI9aGLAs8+U+JDP3WWvZaQy7Tfq37tKAVViseKlnP/nWwuUtmo/E8pQhhdj3tJGppBK6/Pjy/7jRry2Sglmu05TxtHHszC1nJg1/eW7Gx8/t8olzU/70M9t8/OyEh3ZqHtyqmXQO7wMXZpYLM4uOAqWgsYE/fKDjr3YBji/eYNsf7kAAsK6hVIqBVqwPCu45NmRjLWc8yDi5VnDXWkGuJc4FpEwDdZB+RpkWqV7QzxPcdG44GLzxjW/krW99KwBve9vbeOMb33iz7+ma/Nqv/Rqvfe1ref3rX88f/uEf8sxnPpOXvvSlnDt3bt/rP/CBD/BN3/RNfMd3fAd/9Ed/xMtf/nJe/vKX86d/+qe37Z6fyDyijj+wVVvmxqOlpNASLSU2RIyPTBvDvLXsNoZJk/6dt5bGuEe9GCxPGbD/aSOdMuLq4yFee6ldBiXjAvPOsVUbfEimM1pKIrBdWy5OOyaN5ePnJ3zywozJ3IBfyGlGOLPb8omzU/76/JwzOzXnJw1bs5bdtuPCtGXaeD7w15NH+20+VJTAsVE6nWVaMaoyjg9yNqoCH1Kgr3LFepUxXSi0ZkqilUyF5cBVxfeem4OI8Tq//fswm834yq/8St7+9rfzile8gve85z0Mh8NbdX+X8bznPY8v+ZIv4Rd+4RcACCFw33338Y//8T/mh3/4h6+6/hu+4RuYz+f85m/+5uq5L/3SL+VZz3oWb37zm6+6fjKZsL6+zvnz5xmPx1d9XEqJ1pcya8Zce3RHCEGWZY/pWmst1/qx3KprAfI8f0zXOpd28ldifWDSWEaDErHYxe+9dtZYpsZxYlSsAkaWZQgh2Gk6tnYbpIQq02gJLkBjk5/vXeOStUG17+fdiw+RSWPRWcbcOLSUEAPe+9XHfYgMC73I72eURb76vN57OmNpbaCxnmlnmdaOmbE0xrM+yNkYloxKzbndmovTjsZ4LswaLs4MnQ9oKciV4q6NAccGBdZ5Jm3HQxdrgogoobgwbdhtUnF43nr+/MJBt5x/bGxq+KxTOcOyYjzM+IJ71nnqiSHehxS4ERSLwKo13LMxoipyjPeUSjLKJWUm963t7P37jDFi7bWbax/rtXD9v+WDtkYs17Td3d1917S93FDNYHki+IIv+AKe+9zn8rKXvYxf//VfB+Bbv/Vbb+RT3TDGGD784Q/zute9bvWclJKXvOQlfPCDH9z3NR/84Ad57Wtfe9lzL33pS3nHO95x3f/rJ3/yJymKYvVYa43Wms/5nM/hm7/5m1fPv+ENb7jmL9FTnvIUXvWqV60e/+zP/ix1Xe977T333MOrX/3q1eM3velN7O7u7nvtyZMn+Uf/6B+tHv/iL/4i58+f3/fa9fV1vu/7vm/1+C1veQsPPfTQvtcOBgP+yT/5J6vHv/qrv8qnPvWpfa/Nsowf+ZEfWT1++9vfzl/+5V9edV2IYKLih3/4h1aDV//9v/93PvbRjxIidEERgVL61Y79tT/wA+R5jkTye7/3e3zyo39G3JMOSgmZSCYiP/KDr11tRN797nfzoQ99aN/7NUHyqu/8h1TDIa31fOiDv8eHP/xhAFwUaCJCRBSRXAa+53u+h1OnTgHwO+//Xd73/v+Fi2CDoAsKFyU+CiKCl33N3yGcPMl2bfjz//sn/K8/+DC7VDgEnpTSCSgCkS/+/C9k49gm1gUefPgB/vrTf40mYJA0aOZoLJI5imVa6BIX9/3aEofn2pmD7Z3jnH7aOk/eHDCIlv/6q/8Zh6AUjoDEI5AxoCW86Eu/kC9/4d9mIBSxq/n5n/n5a97Bc57zHF72spcBUNc1b3jDG6557TOf+Uxe/vKXA2lh/amf+qlrXvv5n//5/P2///dXj6937UFcIx4tNxQM9kai5fs3eLB4zFy4cAHvPXfddddlz99111189KMf3fc1Z86c2ff6M2fOXPf/+pmf+ZnLHv+tv/W3eNGLXvQY7vpokNLoafDpRtK0UoCM8RoWgwKPICdc9Tl9iDifFoNMpuV07+cMEQLiUeX3kzREMoVx0tK4wFbj6VySghBEoogoQIurTxbGRwIgEAQUCJnui0DtMmobmZvAbtOxawMeTUDQIVffs0gkILnQOGZhig+Bi3NoWQYKyRzNhOwa9YDrLcKHBw0M6ThZwdNPjrlns6KZTZEiMlKeQnginhAlBgkxSWcMc0WZKWa+vdNfwpHmMaeJfu3Xfo1XvOIVvPe9770taaKHHnqIe++9lw984AM8//nPXz3/gz/4g7z//e/n93//9696TZ7n/Mf/+B/5pm/6ptVz/+bf/Bv+2T/7Z5w9e/aq65dHqr/6q79ibW1t9XxRFBRFceCOgDfzWrg6TWSdp7XJYnHZ6ZOpdEwfVOXq2mulaCB12HRRXtL39y49t+j5X6syCn0pUGRZhguR7bmB4BmXGnlFtIgxYl1gczxIE7sxErxHXLGUOh+YdQ4XIlIpJrXlwrxj0hhkjJxcK9gcFqyV2WWpB6k0C/94dusO7z2T1rJT25WXgF1+DTZig6dpA1IktVAR4aFJw8wEbAh0nWdmHForWptSVBdnNSJeKtrVBmZNahm9OkG0DAZX7r4PLiPSVHSuoMwhChhmii940jpPObHOfceH3LVWYn1goCVFphgV6ffAhzRkVmaSTGecHFcoKW5Z6qdPEyVuuLX0l37pl/iH//Afct999/Ga17yGX/zFX7wsFXGrOHHiBEqpqxbxs2fPcvr06X1fc/r06Ru6fsnx48cf8RsHly+eN/PavT/0O3WtkIouRoIUlFm22pFbH+iiIPdhtXju/eW/khzI984ZIJFaslHkjHzARcivKAYuVT+HeUZZXv198yHiScNjLrprzi6Y1iK1II+R89OOncYQAgzLjOgBpSjKnPGwWA2AtdbTWUuMpDkEG1AS5iYwaz02BqIXxBAplMZ1HfPOsV1bbIjUrSXXCqRGSIM1kZ3WYW1EWEvbWrrg2a3BLv72I0lALiy+x4LD2zGUkbwH1kdAhBBS19cgz7j3WMVnnzrG3RsV92wMkUSkhCxXhCipF5NzuVYMyoxBrvB7WoiFEI/67+hWXQu37u/+Vq0Rj5YbDgZ7F/5v+ZZvuZn3cl3yPOfZz34273vf+1a5vhAC73vf+3jNa16z72ue//zn8773ve+ye37Pe95z2cmiZ39u5gSwVpKRklRXTCAv+/SX8s17A06Vq6tOBEsas9jty2vPLohFq6gAzk1aLsw6ijyZyUASPNttLJlqU2GyzK6ah5i1gbO7NZOZZeoMxoALaWhtqZ3vokcg0FIQZUQSMA6MC5yfWCZNw05tkUJivWNuYKAgLkTkloNjIqT++8M4SQxJVmKQQ1mmr6/McgJicZoU3LM54LNPjVkrFJtVwSiXSCnZqjuMhROjjExL9KL92Pok5V3msp8nuE3cUDD4kz/5k0d13TOe8YzHdDOPxGtf+1pe+cpX8pznPIfnPve5vPGNb2Q+n/Nt3/ZtQCpi33vvvasCz/d+7/fyt/7W3+Jf/at/xcte9jL+83/+z3zoQx/i3//7f39L7u+ocLMngJcoKS4bEtNKMsgUtXF0zq8koEstGeWKxoV9A4XzAb2QdFh97isCVZEpYoTOOLbqDqXEKh3VOU8EWhvYnhuUlJxadLIsHcq2a8u5acuD2zXnJi1SSfCRLqap5bVSIxA0xi2GoCTGOi40BgJkUjBtLNPa0HVx8bWkHX9HEpPbO0EcOZyBYACMyvRW5ZphlfHkjSFaKWrrWSsznrI5YFQWrJWaTGtGlUYrRZkrrEtdWoNCXyVJvVubfp7gNnJDweBZz3oWQoh9c1XL54UQq7a9m803fMM3cP78eX7sx36MM2fO8KxnPYt3vetdqyLxpz/9aaS8tIC94AUv4G1vexs/+qM/yo/8yI/wOZ/zObzjHe/gb/7Nv3lL7u+ocLMngPfjSomKGCJBREZFxqBIv5ZaLfSEbFL/lAuJaJ9JymukppaBKtcK6z1npy3TzlNqiQ+W1jiUlGSLQCSi4NxOi7Geu48NmJs0J3BxmnyFZ+3iFBLSacV0ge1ZS2sUIKhby9ogZ5ArRBBYF7k4M1jvmbUGu5CqtjYFgUgKBAdcSfpRUQJrORwfKUZFzr2bFePBgFGlUUjyHNbLnFGRpXbg9YpxmbExLNBKLH7uASTMWnvZYOJSiE7KtDnpA8Kt54YKyNdqNbySpzzlKY/5hu4kN1JsOcr4ENlpDFpevStbDl7FGNkcFo/pj3SvjIMArPM0LmBdQCnB8UG+Mi1vrU9F4EWNotBpsR/mejULsJcYI50LDHPFmd2GB7ca5saSKcmsc9RmeWqISCIeCD6itGSj1MQI1idxtGCTlHQMAaHSwNi8Czy0M2PWOrRU1NZxaq3g9LEhTWf51PkZ52YNPsCs6ZgZj/Mwba4+DTx6DlYBeQDkEogwXoNjaxWVVLzgc05y/8k1pp3F2sBalTMoNDFGqkyxMcxYL3M2R6lGY33g/LRdmNkLbEh9W7mWjEvNINf4COtVds1Tas/1uWUF5MO6yB8mDoKRy16TlmVL6LIDqPOB1njKXNEY95jUPpf1CC0Fs0VQKHTK5zfGs9s6bIx4H+jcpQliFwK18biQUlh7u5CWLKUqjAsoIdBKMG0drXW4AKVW7NQdxiUhtNo5NheL1iemLSFGNsqM3c5RW8f5nZZRkYEUVLlkmGvuHg84K1Nj6MykbqudWcvFuaH1HikkPqZKsBZgXWojfexF4YMRBCCdBsZDUBGkTvpBG0XGWqWpMkGVZ+SZRASB8Z71QiOUIIRIlWmigFnnGBWaECKT1lBqzcawIMaYBOhCStkFHr3sSM/j54b+iv/yL/+Sb/qmb2IyuXpUfnd3l2/+5m/mr/7qr27azT2RcD5cpdEzay3O35mEwvLInrprPNM2yUZ4H6lyxbDQtC7t8G/kHvfWI7p9dIuKTCGFYGduOT9JfeX5oj6QL8xgOuPYqfdvw7M+oIWgMT45jmlJoRf1hhBXqZ/d2rLVGKaN52JtuTBpmXaWpgs8uNtyfqdl1lomrePTWzO265bduWVmPYFIphSV1kQXOTtp+NjDO/z1xTm7jWHWtFyczZk1Hh/AhsPbHQSpI6widQkNcpARqkJyfFQwHpQMcs16ldN5QQiB0+MBRSEQMr1lSrBWpQJxlenk+dA5Zq2lkJIqTz9/vegGGxR6oVv16GVHeh4/N3Qy+Omf/mnuu+++fY8b6+vr3Hffffz0T/80//bf/tubdoNPBG6VkcvjQSu58ubdnhsa56kyTabEZaeBG+0sWtYjYty/SC0FdD5QG4eP8TKv22WR2GSa2njmXTqZ7C0uEyONcXzyQk3nPEIIAiLl+2tDIDJvLBdmHYNcc2xUECNsd5ZJaxlkinlnscYzrApKJdnqLG3riB6aLqWcptYz6wznZjWtsdQGjEttod6lYrCS6f3DPiqlSfMCQkKuoSoUp9cHxBgZlZp7jw85NSxAwPasQ0qBJKmNDnNFmWukEOkkFh1qcSLMteTUepXSclc0CiwHCvv00O3jhoLB+9//fn7lV37lmh9/xStecdkods+j42YbudwstJJUQlBbT1Xoq0zI4cY7i5YdQy7sX6ReLgTOB/JreN0OCk1sLUosWj0XqSEtoF0ogM47y6jIVp0+znk6D6bzTDtDFyJPGhcMM83W3GA7h7eR7a5lbhyjPMfHACKJ0LU+stO2dMYyLDXGBy5M2lTPcGlgLJCO2kvbye6QnwiW5CKJy0klIQqOVUlh1IX0szgxKhhXBVEEBnmGc4HGeU6vV4yqLHV1uYBxHuEC40pTZCnNN8jTKaCzl/tdDLLUUnqt9uKem88NBYNPf/rTK82W/Thx4gQPPPDA476pJxK3qo3zZrGsXxRaXlawXdY2BDfWWbSsR8yNRyx2gUpc+nzWBTIlVkHjynzxsoCNgFGZCovLe5w2hq25oV20jl6YdygpmC+mkHMlyCvNzGb4YAg+sOssW/MOJQRrpeb8JLWG5loyzDKaaJAKmi61vzof6Wxgbi2NTV6TS1WMCDTcCtOZO1NAzhdvx9dgbVARAUFEa0UIkUGRMcoVIUYu1C0nBzkSmLQWuzjdPXhxztowY5jnFFrSWM+88xRaLoJ92nRoJSn31MsgBfq+XnD7uKFgsL6+zic+8YlrFpI//vGPP6G7cB4Lt6ON8/GwXJSXi/beQvLyvrQQrBX6URuUL03jW5PUP5VYpsSSwue4zJKUdLxURF/+v8YHpo1FKUHdOcaLTpPOei7MOlrnKZRCkr5vs8bhgyNXis5FWpu08FutuDg3aC1ZKxQgsTEQQtqZxhiwzhORGJ8ktXMpiFJwdjKnbeNq0W9NSgtZDrf72F4qUsfQsQrGgwKHIBOpXiRVkiUZF5qT4wrj03beEWm9p8olx3WBAOY2oLrAIIsImU4DtXFoIRBRXKZbtXcOpbWpHbivF9w+bigYfPmXfzk///M/z9/+239734//3M/9HF/2ZV92U27sicKVi+2V3IiRy61gb2dRjJe6f5b53cZ4goB6YfK+t7Zxrc6oZT3CO89WbbAuUOWaUa5RStLaNFQmRVoUBGnquLEe4wKNcYzKjHPTlnohgb38WKmTJWKRaYQMQMS1is55QkwdSS6kXpWZCQgLa0VGDJYQF+YpbZpcNjGgYqTUkizqhWy1ZXcWWdavl2mhoyQ4rYFSweYYjg1LTo0GVGXq9DImkOWKE2slZZYRgLvWCkalpnMwLDSZlFSZxPhAoQV156kzy7DMsd4jJRRZOlEsHeauHCzsPQtuPzcUDF73utfx/Oc/n7/39/4eP/iDP8jTn/50AD760Y/yL//lv+Td7343H/jAB27JjR5V9mvj3Iv14Y7vkJY7+d3a4CMMcpUkqBfdOqNC4/bYRl45UBZiJJOCQa5X/r9aScpcc2pcEkPEhXQKEkJQVYpBVHTG45ynNp7OOzqbdvbVorMoRLgw69LcQZZqGtPOYl3awdo2tcH6EGmdx7rA1twwaS3HBxkiF+w2lrOmQQnIpCQiyPNUOPcmCfS1NqCBeWcxPmBdSgctOQoDZEtK0mngrvWCKs8YV5KTxypOjApa65m3ls21irVCE0NcWVL6GBmVEhEFkUCZZ+ggCSFQm8DMOPLs0omtdR4XIsNCERfXSSlXE+iPpWW55/FxQ8Hgi77oi/iv//W/8u3f/u38xm/8xmUfO378OG9/+9v54i/+4pt6g08EVmmTA7pDWspGTKVAhtTDLxZ1hOUfrRCL2sdiYtgvJ29dWBUPtbJsDjJGZbbSDhoVGUqKy04RMUbqbhkgUgHbmoiJno1BTrkwu4mkk8jZ3YZhrsi1Ym4c884zzhXOpUXIWI8JAYlgVGqmbcvFWUjaOVIyWhzJcqVw0tJ5nQrTIqJipNAwaR2TtsMF0DnQHq0gkJFSQ6MKNscFgyJjrcjRmSK4wHRuESJybFBwclgsVGdTm23wSWxwvGgnHZcapVKrMEqiVaqJlYufj1aSTCm0jFRZtnKXW/4M+9TQneGGheq+5mu+hk996lO8613v4uMf/zgxRv7G3/gbfOVXfiWDweBW3OORZ28b596OioO0Q5KLnb2WSSj6ytTPsraRWkK5bKAszQlIauPZbSxRCEotL6uVLPPFK9npRTfRIE9eyefcHBXTCak2bo+kdqodtM7z5M0R62VGbTwP7jbszjtq65k0DoRgXKSgNshyLtYt1gbWRwWDPMO6iIspQJQK0BonAjqmU9vFWUdnwdjULnqUAgGkYJDnUOj0s94cFWyOSpxzVLlORXgiVaExC7c5h8K5SCc9dZM2MqfWM06uVzgXmbaWxnpGhSbTksYk9aVxmWTKl0VkuNRR1weCO8cNrTJf/dVfze7uLlVV8XVf93V47/mu7/ouXv7ylzMYDLh48SKf//mff6vu9UijF8qZG1XOepX+HZXZgQgEcKm2IRaeBlf+0YZFOsgt6gl722WXA2VlphBSYFxYnC4udeIsWQ6i5VqhZdpBKikIQTLvLA/vNMxbx6yx7M4tD203tD6ghSSEyMawoMol56YdZ6YtkzbVCkol2ZpbHtieYb0nBoHSCusgekGlJYMs1St8FAwrxTAryDJFoQXeeZoOJl0ypT9KrJFaRzeHmqKUjHLBsUFOrgTDPNUF1quMzbLAO5h2gVFVcO/GgCcdG3DXqEpB2DoKpRhkmnK5yxeC2jqCT9pSo0UguPLEu+yaezSGRT23hhs6Gbz73e+m6y6Vyn7yJ3+SV7ziFWxsbADJ5ORjH/vYTb3BJxpXKnseFB6ptjHvHMQAQpKpiPVx34GyGNPncosupGU3ybJltLF+ITIXKBZFZOcDZyZJw8aF9HEpBAKYGsu4yCi0oHNpJmMyd9SNhSgQCE6sFYQYOTtzTGq7KMin7hYp4eK8gQhCCqwLuODIM0kuwcXAg9tzHt4xbNs7dSK4NS2lJbA+gLVCcWyUo6WCAPccq0Akl7dRoYgxdVHlWhKsJ9eSzgVypZPRT0gT2Z1xfGa7psjS/ECaUE4m9loIGudRQqwmyvdudO5011zP47C93O9xz8HCuIALAS0vHccfD/vVNmrruDg1zDtHJhcLSJkhhVg4V106RSw7o7QUqe8/k9jOcXHaEgDvA7utTbv0IkOrlGpCgHNpatj6ZL2ZidSb7mKkaR3Ge+4ZD3EistN0aerVeWwIDLRit/UUUlHlmqbzKCXIdXJUdj7ShcCwUBS5YNY6HtgyuCBojOEzFzouXtsI61BSAscGsF5qBmVOpjTDTBNj4MQgR+kMFz3EpCu0UWg6H+gi3DfIyORi4htACNaHOk1vW8/2rIVRhVKC9SLViEKErbojV2rf38U73TXX8xhqBj0Hn9Y4dmrLzLiV9PMo12wMMsr8sf/Ir6xtNNZxZqehs4HBQl+mbSxnJh1awt3rFYM85YuLTOJ8atNMU8GLYrEAhEgWkFKgRDJER0Bnw0LETuJDYLs2OAujUtNGhxCQaYl1nkA6QURAInnSZsW881ysDUIpCp1ST4MYmMztQuY67XBdDPiQzGqsD0xbx7zpsDGytRPYPmJ7ngoY5VAVUFUZa5lmYy1jLc8JIdAhGJBabgOpayxKQaE1QgQ2hwXAahjR+EAmBF4Gjo9yjo8KBqWm0Iq4WNxzLRnlSc9qPw5C19wTnRtaGdIfsbjquZ6DQ2scD09arEua/lJFQhRMWkvjPHePy8cdEJauZdPa4ENkXGWEEKmdp3MB6z3bc4uWkftPjKmNY97F5HecqdUfvvUBgeD4qFh1ExWLOQEfIjNjqQrNw9sN56cWYzwISWtsss9UAuMdWoAzgY+dnXBsmON8xPhA5xyEyNa8xfuIcZbGWpSSFBJ266RManzEuYBzNk0uT2umLTgHkyMSCEoWGkMZKJ0kJmJIstzH10vu2ai4azxgu26ZNsnnucw15WJIzLhA8IEql4ufFYyr1FLsfMCF5E9QZYpRlewby8XPetlyfNC75p7o3HCa6FWvehVFkXYGbdvy3d/93QyHQ4DL6gk9d4ad2tIsBNzmxq5OBpVWNF06MZx+HMFgiQ+RaevQMi0OPkZCEJR5Up08G+HspGWtzBkvZAokYlU8zJRkZtyqrrCslQwLzaxL7aDbtWHaWB7YnRNC0sfXOqVxiJApxbCUzBqLJ3Bu0pJJyDPBTm0plGI8EExry05juTA3GOPT/UhJ55Jommks865j2gq6LtJ66AzMH/d36Wbx+OQoNiQMiyQyNxhmBOuxMQKKu8YFn3fPmJOjijJXtMbhCrAhJM+GCkSMzDoPEcpc0hpHFLAzD7TO05iAjykdt7mWIUQkhMV8yR45lcPQNfdE5oZWhVe+8pWXPf4H/+AfXHXNt37rtz6+O+p5zBgXmDQGEwJN41c+AJCkqJUUTBrD5qh43DWEznlq58kFi1ZSSRccWimUhNPrJWcmUKrkARAiGB9YX+wAfUy5+nzPZtCHmMzhlWAe4cK0ozOOpnOsVznbjYUQGVf5QvkUSinZDZFIpDaWz+wIci2YNwYxyNNAWyTVJ0IgCokLnhgF1qVW18akttHORGbukhvZUUACawPYXCsRQrBeaNZPZrQm1ZKec/8mTz2xjomREAKZhmNK01jPtHNMWkGRCU6O0vRw5yAQaEwkRk8mBRAZZIq1KsO4yM7cMFzUja4sDF/LD7vnznNDweA//If/cKvuo+cm4EJYiYTlmbrsKO5CoOkcwaeicn5jXcVXIYVABOhI074xxqTzv0gbxpikCaoyY1zlQFKmDDEyMw7vUx96aiMVOJ86kIzzNIv20kGRJLOVVnTeMes8u61hKAXBB6IQtCbpBg2KjNPjCiRYm7qazk8bTBeJMjLKMwZaU0fD1jwSQtI52p22TDuY+6QtdFSQpD/upfz0uMgotWQ8KqkyTS4tSLjYOMTWnEEpGeYZgzKnMx7pIidGBUpJvA+UmeJkXmBj5O6NimnrqK2n1BobAseqbNE2GtipLdnCeOhaheGD2jX3RKYvIB8hBILWpUnbvS5gSznszgRqm/L0j5cyU1Sl4vykY1hoOh8xNh39i0xSW8+wSL3my3mC2nqkXBjVqFTw3alTarHIVHLCWnSoWe/JiGS5xgaHlhmjynCh9sy6pImXaclW3ZFFxYlRTpErjEuTw+tVRmwjzlukkAgpeOqpNS5Oa/7iwSmzpqF2kdpCe8QCQQaMsuStkCnQRU4QoBctn7V1ECP3jitOjkqqIjmQNcYxmZs0Sa4l1UJpNESocomSknWtGOYZ64MkTyFZyJEvnOhmraMznkljKRY/+/VS97v/Q0AfDI4Qafo/7bJhkXaJEbE4ivsY0SoNj12LR2u7qaTg1FrBw9s1nzw3BwGttdgAhVQMSsk9gwF6IUc9aSwyskpPCSEYLOoD23VHptLpwizufVgkHXwfIhul5vzcUCpNqVIREiHYrltaEzg50hQ6wy4sEwuVfq2rTDOdWwaDjOPDnN3GMO0Mc5vupTVQ26OjNKpIbmSZhCyDUsBokJFrzahQi9RNOrER4dioYn2Yk2lFDIGm80wX8h33HR8xrjJKLci1RkqYNZZcp04vLQUnRwWdSwXi3dZStxatkuSHVgLj0ne2UYLK+pUu1aPlIFjAPpHog8ERY63MmNQdZ3cbBILkJpv+rTK5SNlczZXickJAoa5f2BtmmiLTbNU1lU6dJ6Zx7BpDWZSImCwoZ61l2hiKXDFp7OpzJ40awXqZ01i3CAaetVxT5holBBdnHWtVho0RYy0bVc60tbQ+kinNeKzYrDLmnUEpwSBPWjfeeSKRznkqHzk77Xhoa8pD2y11Z0Ekb2LH0ZGWyIAihzKHQgvGWcbasGBYaI4NCzKtKKRkUCqyTHFyXDIuczrn6YJAKMkwT3aea1XGQCvyTK6mxEdVRlGkyXApZNJ1KtPshhSgECiVhv98SM4+mU4e1DZENgf5oyoUP5bfxZ7HTx8MjhCZkgwzxRSB957aXlrmBplEZIqBVldNBj9W281Z5zk+LFivMnYX6YVcSaKEWes4N+lYKzM8IJVgkKV0wfJzB5vMYgaFQlixmlWo8nTdIFfM84XbW+foTEDIZLquguPYoCKQnMimtaPKFccqxdxaQpTszBsmncWGpH56dmIwzqEk7LbQhBQMjgLZ8k3COBeMBxVIyVqp+dx7xqwPylQgFmm2QsqIdXFhXZkxBurOkIkBM2MJPhJUxDpPkWtyLRhkCiHS5/SrltC025dCsjkq6JxHyUihM4o8/a7lOtWD5sY/oo3rQbSAfaLQB4MjhJKpe6P1gbWqYH0gEAQiyQ2sdT7t4K5QCX0stptmoQi6PsgJMQ2HSevJZNrtbw4iNgRaHxnkijWZr+ZUlIAYBdtzw27rkAunM1dlQBpyWh9kSClZKzJmMTK3ntZ5TowKIiRZg1xSN5azkw6tBHkmkgOZcWiZ9Pfr1jJtIITIbmtoa4uN4Mxh6hi6dkvpiGT3KSUgWAzi5WgpyLTkyZtr3HdsDReh7Rw7nWXeWo6v5UTSIo1IbaMmCJBwYm3AuJRYn34uAhjmqTsIERmXGV0ITGpLvVCnNd6v8m2lSieK5e/TMt2Xa7nyL7iWjetBtYB9ItAHgyOED5EArJV68RiW5eJMCTKtV74Ebo8xfWN9yiPvw7VsN10IhBDREhqTOn+GRbbSpdcSpq2js45hrsiUoFvoGjkfmHdp2GveOUSMHF8rEYu6hneO8xO/KoJHxOKkkFHlCh+h0Iqd2tC4lErobFrQtl1DRNO6ltY5Mi3ZmbT4YGk7jwXmHZhDPkwmgAEpCOgChhkMc43SkirTbFQZ40HOqNSYkDwgGhNpjKXKFYM8DQBGIt7DvLWwkI/IMs3dxyo6GzDWM7eOxjqUlIxyhY2pa2y90tQ21Ro6FxhkKnUUxUCpL/0+pRJPqh1JJa5p43rQLWCPOn0wOEJYn47SxwYFtXHMWreQBSYZy2jFbmsoc83aopjYuWQAI0i77SuP4NcSENNSIqWgc5HGOjqbHMSWxUUWu8Eqz7EhMMqzlQFO3VrmxjLrHPPOMcwlzgVkrnAh4H1kbhzWt4QoyBd+Cs55pJC01jGZd2zXlqnxzFuDJKUmTPB01qAltCZ1t5yft3gDIdU+U+rh9v5objqpux9ETPqAUkpOr5UorclzyYlBGiLTmSC4wDwmo56nnBgya/zCVjR9nklrqTvLsWFBXijWSr1qDc61wIVAbT13jQuOLU5s1geUUtxV5sQ1mLUWv2gQmDT2MhvXpeigksmr4lqCdAfdAvao0weDI0YMSXRNq0WxeKEkKiVMGnOZrDSk3VaZK5zf//h+rT7xpdbMw5M5O7UjBlBKoITAq6RdP64yciUwLslLVJli3jm2G5vkITycGOasD3OMS9pDdhFUTo5LjHN0Pqmb7rYdtXHsto5ZbfjM9pwoBC7CtLbkEjZGsF072tbQLiQpJvOGpoUQUsE4krIZh3UpkaRAlgGZSPpCuYYqE2S5pspzqkKzPswY5pr7T4xZH2TMjCUGGJea6cJBrjUhSYLESJ6lQvCJYcHGMMf7tEufd54oIseqjHGpV/MDy7SN9SFJrUvBtFvIVizsLEOMC1OjSymj6wnSHXQL2KNOHwyOEJlKhjEzkwxJrAuL1tJ0rN5pLOtldtkxfClNPfce6+NVBiNLHaHl+3vb/EaFomk9WzPD8WFBrgTOw87cUOo0aTxtk1XkUoIi5fMF66Vmu06ic6VW5EpyZrfFeMcgy/DBU6dxV7as5ZMXaurOUhvH2e2G3dZRaBiVGUqCDZ5zu5EL8xZBYN4anId5C7VJbZcBqG/nD+SmkeQoFMdZz5O+UCUuFb/HgwydZQipGJWKezYqTq2XDLKM+45XbA4Lpq2jtQ4QDEtNmWmMC3TWE2NkpzEcG+YcGxUpPZdB5kIq8OeptTTTl7eGLtM2+cKbYpApMimoW8v5pkWJdBqQMtWlStJMwrUE6Q6DBexRpg8GRwylBWaaunTKLOXqXYBJbWmt58Ta1a2lRaYwCxXSKldIIVcCYkniObDTmKva/HyE8TBHKMmkdUSb8sLH13KUFHQ2TfmuFXpVJJ4Zi/OR2npCSC2ExgfmjWNu0qCSVgJjA7uNozWGi43DW493kWltcTHtVi9MDd5FqlLT2MCFyTQFNAc7NTSLNMjhKRRfnxGwVsK4Sgv/vLVUSpDpjBPDjNMbJetVzvG1klwocinQMg3+aeUJBnZqw6iQZFJRLPyrIf1c18rssmHF5dxKjJFCXW1HGRZDZs4H1MK/WJGkPyqvkDI51QE0xjPvHONBdl1Bul7M7s7RB4MjxLI7aFApQhB0NtBGjxCpu2MUNSCuzv8rySBPg0ghRrrFTk8LcIv2yyvb/FqXiouDPGOtyKgyg/NhUZiU7DaWaWtZH2ScGBUIIZibVIQM0THrHMMidQ85n/yNXYBZ3aIWpje7rWGn7tiaWqZdEq3bqQ0+BGaNw3jH3EaCCGzPLLMuMquhjYc/AOSkk8zyDaAooMozCp0hEIikvkGZa06tDRhmGmsCW7OGXCtKo9gcl1R5combNBYtU4BsnSeYQKYVUsCxQc6w0pctwjGmrrFcy6sGxpwPTFqHcZ61MiNTqWV4Z97hQuT4WrFKNcWYUogyQLZPXWovvZjdnePQfGe3trb4lm/5FsbjMRsbG3zHd3wHs9nsuq954QtfuGpnXL5993d/922648fG0vHrsdj/LcXbqjxJC1+cdZyZtFycdURSOsEuum+uei1wbJiv5gY2qtQKahf93kvryuXuzPnArLV01jE3SQQvArPOstsYjA0UuWRQKKoiY1hmbAwK1sqMYaGQCEQUNJ3n3KSlbgIXpw27jaU2ns57hBRcnBrO7sw4u9NybtIxbRx1a2msYd4FHt6xfPxczdlty/yIBAJIO+xSJu8BSH+oT1pXbAwKilxTZIpRXrBW5VQq1YSI0DrLrPEIBEpKpq3lga05F2cGGSPz1vHp7ZpPnJvyme2av74wY95ZTowKjlU5pZa4EJKHAamvv9DyqkW4tZ7OesZlRr7wqIDkFidFmoIflhnrVc64Sv9uDAs8POLv9kG3gD2qHJqTwbd8y7fw8MMP8573vAdrLd/2bd/Gd33Xd/G2t73tuq979atfzU/8xE+sHg8Gg1t9q4+JmzF1KQQE73l4u6ZZGMNIwIfAxWlLoQQbwwLj/Gom4cojuJKC6COz1nJ+1iEXu/RCpd3h8l6kEMyMT4U+sZS4EFjvaWwymRlKzSjPVukFKSD4yPbc4GPE1IYQIoKIjQEvBLmQbDdJnoIQObNbc27SURaKtUJhfZLhbg04C1N/tFJBSxRAgEEOcwMDLOtrw+QepxSEQJYptMwoMs/xUcm8dlgfOT7WHBsVbJQF1gamjWWY57RA59xKriQiWMs1MQrmxlPmmlGZXaYoGsvItHOXnRisT/LlRaYuOzEsu4FyLS+rPy1PodfrJNr3e9CL2d1WDkUw+Iu/+Ave9a538X/+z//hOc95DgA///M/z1d/9Vfzhje8gXvuueearx0MBpw+ffp23epj4mZNXUqRRv/PzQyFTiqUWqZUz9xYpl3yBKiy1MK53xF8eS+d9UghqDJJXAjg2UVHkJRJ/llKyKRM5ichksnkWDaZW7bmhtMbFafGBU3ncCF93nln6Vxgbiyl1miV5iF8gM2qYNYazu52rOWS2qWFrFmonZZFBgFaC8ZBfcQE5pYIoCX9cQYHBY6CgBKSUVUiYsTEuCjawqgoiEFgCWyMSk6OKsZlhpSRndpybtqyVjkQghOjgg2tVpLimUoSErPWMiw0o8Up8NIiLK5K27gQyJVgXF7+eynFJd2rGONVi37fDXSwORTB4IMf/CAbGxurQADwkpe8BCklv//7v8/Xfd3XXfO1v/qrv8qv/MqvcPr0ab72a7+Wf/pP/+kjng4mk8llj4uiWBn63Apu1tSlD5HdxlEoybFBytmGGFFCcGxQsD3vmHd+JfewnwjY8l6qXGN9XA18RQS7dZpezbRitzFIKXDEVX3h4UmbCrzO42JkuzH86Zld1rKcGNLEcpkpOu8JMQmZXZyleYgiU2wMJK0NNNYyN2mQLNOKQgka6xEq9bzLRS/6UTsN5CxOBAs0kBdQNoECz70bBRtrBfPOM1aKYSHT7IYJTNqWEEHGpCDaOk8MacF3zrM19wyyjAmWMEwe0krKdLpTyZ6ysZd+N/ZypQdBjDBVFikv/51cdaaZ5Sni8s/TdwMdbA5FMDhz5gynTp267DmtNZubm5w5c+aar/vmb/5mnvKUp3DPPffwJ3/yJ/zQD/0QH/vYx/hv/+2/Xff/u++++y57/PrXv54f//Eff8z3fz2unLq8UqnxRqYua+MwPmnL60XPf4wBISRCwrEqw4RIbRwbg/yyXduyVlHbNPmb/m+xyB0L5q1bLQSFSPIOSiSz9CJTnNvpaDvPoMgYjQpMDFyctDzcWtwoIAUIITm721Jbt0wcMG8d086zdbFhoHOqXFBqSWNSUBpmkibTTNqGaR0WpwxwR0VqdIEmzQ4sfyJVmQJsmUEZ7+auAdyzucag0hzzESkluRTMGsdQeqZa0nYGG5LMR6kVo0LTOo+Pkd2ZJVtXoBY7dCVw3tN0nlGZhg5DuHo3v5e9J4bC7d8CWmSKWZd+V2B5Qjh83UBPRMXUOxoMfviHf5h/8S/+xXWv+Yu/+IvH/Pm/67u+a/X+F37hF3L33Xfz4he/mE984hN89md/9jVf98ADDzAej1ePb+WpYLnAhhBoTVgZuygpqDJFruUN5Vm1FOSZolt8vmR7GSjzlPN39vJVdG+twrpkBj8qkmFNmSU/4t3apjSNTguAcYE8Sw5mk8biXMATODEqqBatihemLWtVjg2RSWO5WHdI0sTzzrxlZkKyrcwWdYCZZQfLWqkWxX6JC47WBlrrUo2idUzn6URwxGIBJZAvZgSlgkEBldZYD6fuGnByXPLpi3M210pOjgus9cxs8m4oM0EhJMO8xPnUClxbR5kl4xlNOkF4H8ilwrtAkJIQ0wyAiEm7Si6Kv4/qfq/RAupC8pLQUlwzFXmQeSIrpt7RYPADP/ADvOpVr7ruNZ/1WZ/F6dOnOXfu3GXPO+fY2tq6oXrA8573PAA+/vGPXzcYjMfjy4LBrUQKQQipTa9znsAlqYHGOAqtGJX6Uf2RDnJNWSh25pbxICMv1UKvIElY79SW8TBLbaRcXatQWUoVtDbtJkeFpsoUs9ZCTJoybjE3UGYSF0BJyfndBusjg1KiJMzaZdpLYxrDbm144EINBHyA1jmsSwqn81YwaQOdNQiRtHKkkJRZoHNQO5dM162jNikISOAouW3ngFYpEGQZbFSS8aBa1XA2BpphLmidZdoI1opUt1kfpLmA9WHO1qxj0hgQYJxnt+4wC6mRc7UhzyQuwm7TURUZeQwoCRtVho8RsTCzf7S74EfTAnrYdtdPdMXUOxoMTp48ycmTJx/xuuc///ns7Ozw4Q9/mGc/+9kA/PZv/zYhhNUC/2j4yEc+AsDdd9/9mO73VqCkwLrAVt0xLDJyeblV5VbdrXRdHumPK9eSzSrn4qRLrZ2ZSvIQEYxN0gObVb4ymLm6VpFkilsXVuqSxUKmgBjZrk1KJ8TUoVR3loszw5lpm9IBi5SRJJ1sZq1hp0mzAklzyGN8xLrAxDhKFXEh6RIJIXDBMzegJXQWCpW6jxprqR1Ym2YejkKtYCk5nWaCU61AKxiUglFRoKRM8s9SkOHxBoqyZJBrqkLRmHTaOz2uVm3DjXWYzuFDoDUS7y1lplirFJWWlJnG+0jTOcaFpsxV6jgTcTGVfGMpnEfyMz5s3UBPdMXUQ1Ez+LzP+zz+zt/5O7z61a/mzW9+M9ZaXvOa1/CN3/iNq06iBx98kBe/+MW89a1v5bnPfS6f+MQneNvb3sZXf/VXc/z4cf7kT/6E7//+7+fLv/zLecYznnGHv6JL+JA0dLSU6Tiwl4XRfGP8ZUqj1zq6+hA5Nsi5d3PAbm2ojVsFFing3s0Bxwb5qs97v1qFVhIVYtpV2vTx1jq2ZqkdNFeSc5MGYwNb85aLtWHaOkRMHUsbg5z1osC6mMzm26QnJGJk0nlcCFgbaa2j8QEbAj5GNsschKTrLI1Ik7Fu8Q0pMs2sMRiORvfQ0pt4kIOPqf5RlKAklEKm1E5MJ6NTaxkf+7MP45F80Rd9CUJoui7pAS06RBeFW02uJVIkd+vWWXKlGQ8KNoYFIUQa41A6tRSbEMiCpNKKE2sFm8PiMe96D9uivx+9YuohCQaQuoJe85rX8OIXvxgpJV//9V/Pz/3cz60+bq3lYx/7GHWd1GfyPOe9730vb3zjG5nP59x33318/dd/PT/6oz96p76EfVkpjQ5zfADrAn7hTlYsaga7jaXqHKOF0ui1jq4hRrJM8ZTNAZMqZ7sxOO8RQnKsylivMpRWe4p7l2oVe4/6CsglNN7TWNhuDI1xDKuMWZOURi9OG3yEqtDkSlEbizGBnWiTCqpIapjT2tC6yFqpmHWe1gXqzmG9pbEBIUEKRYcglxCkxDSWbWNxwRNjoFCaEK+OlYeZfCEyp6WiLJJ0NFEyM47OBbwzjEc5wXkCgoBglCvGg5xMS3SW5kE655FSYGLg9FpF6wMmBPwsoJSgUIKoJfPOMyg1g0JzfFgk2ZBRQZFJ1svshi0pjxq9YuohCgabm5vXHTC7//77V2bqkDqC3v/+99+OW3vcCARaSspM4rPLfYt35ynFUuzJ517r6Lrs884yzV1FxrjKmHV2IQeQ+va1vxRAQgjMF25oV+rAgGAtzxAChjojZpGzOy2NSYJnF2pD5z3HTM6g0EQhLrUTRrAetmeGmekoM4mIEp1JSivwuSYYj2sDKkBRKkznqJFo6QnBM+8irUnzB3nmmHRHx5VMkmoDmYL1YcFd6xVrRVJ0lY2g7VLbphaSzoNBkhM5Oap40saQIlcY65k4i/MwzBSFVuRKUE9aREi/P6kBQeHxSQwwS1LgmwONkIpBnobGDkuHz62kV0w9RMHgqJIpSZFJjEuy02nBT79wPkRmNmn47Hd8vfLoulf1MS4KvnHhS6tlkpIOAmrrGZDqCHXn2Bxd6pZaBprd2pAtFCc9YaFHlATwXEgFxwzJg5OGQaa4a1xiBMQQCAEGZcbmICMIR/SCySJVVJUaqQKN7XAL+QzvXeoOio5pF+kcNIvF3wKyOxrdQ5J06qpEkp0e5TnjIqNUkrUyp9SacVmw21kkgioHieBhPDmek+sloyoZ/IgqNQJUi66euJALOTYsmDcOF0SyE5WCzbKgWk+dYZPWMreRUZEKxsMjXhR9tPSKqX0wuOMoKRgXmotzc1WbXmMcwUfGo6sHgWD/o+uy5W9r2jJdyEX4hXpnqSXjYcaksezODY1LbmMXZx2jUpOrS2qlRaaIImIdNF0SpVOAziWdFRjvcS7QueQOoCRsFgVSwLQ1aCl50rEhJniikMTQMvNgO5fmIawleLCLwSgh0j12iyDQ7Pk6j0IggNQ1NNBQ5TCqFGWRJsSN92zPG9arkrUiLfI+ptbb4B0lHk2S7XA+4IOkUIK1QUahZDK5ETAsMsrFz/zYKCcsppTLLOlDddZzck0TSeb064OrFWyfyDzRFVP7YHAAGJUZNkbqzmNcIDWCpp3eeJDSMPux39FVK4mMkXN1R9elgpiUItlFAlszk3wPgEIpBplg3jmmTbJDzFSSNi60TFLT3tE6z6Sz+CAWvgCRuQnszBuMhfURbM88SMd6VVBkGdY5xoOSzWHJuUlLWWb4ztK0gWnbpZ3/Iu9jfdoxz2MKBEepNrCkYmGsE2BUSLTSSX21SwYxRivKPLIxTIbzQaaTYak1BRFFpMwko2IxUKhTOq7KNEUhGWQppVflHh8CxGQe5BeT35F0ktTq/9/eu8dYltXn2c+67r3PpU5VX6a7BwY8w2BP5A8bjMUwyJK5jGDsfDKxEREkijyWNb5A5DgCW9gyYGKsCRgJJ5btxAQDVgLI/IET2bGdZAxOQgYco5nYMcME8oFnuPQMfanbuey91+X7Y+1zuqq7urumpqu7eno9Uqm7T51zau+q6vVb63d53/R7Vdln9sK2F250xdQcDA4AWklWKkulfafznwaAep06qLvI6rjT0dX5wJlJg4hw01KZTg8kTfq69bgYWFZF95qI0YrDVjOpk1/wsDSLNlZJQHvB+rRms07TzZNZCljr04ZZ7ZFS0jjPqemUIJJJujEi6eILkYxYrMYTGE8bZnWgUAqtWwqbOmlUhHX3zKkJbGUIDHsp4M3qNFjmhECkIx1aJxe2slAUSqbvVTKv5lDfYgmUODSBY0s9ji2n+YNp47BKYo0ERPdzBquSD3HdBlrf4n3qGuvb5DNQquQXYXUOBjtxuXbZZzI5GBwQFr+EVm/7JZwPwuz26DrurAfnkr/zX2Qf0tBZYSSND1RKUSjVvU8qJG6VFm59QIvOLjJEvOskJWSk9i4VmQVMW8dG6xk1gbrxGCUYlJZhpTmlxngvUSqyselwMWC0QLcSqzVapdPQ6uT69yTeynxosE9a/EsrcHWkKGBgU66+1DrVcpRiYBWSVJM5M25QMtV4VBTUMXLs2/4Oh0ownVT0PI2nu+eNG8+06+AKMbI2aRjPXDe7ERYe2KPS4kLE7FQhvQTX2/DYleCZ0C77VMnB4IBx/i/hUzm6+pAEyoxW6JBaDOfFsBgjSkGMgWkbWeraDDe7QKNlmoRufaD1EImMa89m7RhYzRlqWh8YFgbnIqVKg09t8DTOUyMIhHSaCZFvrk5Y7hfcPOpRakWgIUSJ1pJ+IZnMBLPomDYspq6fKViSfpNUqSDf+JhmCBRoa1jqVYwKidKSUWGRKrI582kKOUYKKVjqG6SS4BUv+97vxBaWSRvotS2lUsmvQInkYRGS/o9Vgo1xy+q0oW0C/cosNhCrk4b1WcvAapYqw+q0uazMwo0szXAjkoPBAWOnXdhuj64hxs7UBIRU+NZTO58G2gAiTJrAsNJUNnWRDApN3ab0lPORKkasFNQuWVNarVgqDSeWKv727JjVcVpUpEwieBEwEloCTQ3TJhJCkxY/I4nd8FRpVOpmQqVZBdcy6eoGkWdGncCQit2lgn6RTlXGpADf73L7WmiWK8VKaZDGMCgVoQ3oSnF0qUArxbT7mTkf6RWa44d69Kxm0njGMweloBKCpvEoJRn1LJu1Y33aslk7Sq0wnRxEYVL9Z2PmkBIOdzWoy8ks3OjSDDciORgcEHazC7vc0VWKtFs0XtKGSL9b6BsfFh0nIaZOkvmQkVadi5UQSaO+skwbx9QlX9sYAj4EtJYc6Rc8Xm+yPqmRUhJ9YFo3GKWplEpWiqHBeUlVKCZt4GtnJwQijUseuOO65ex0yqROngQt17e8REUnJyHBiGRWXxYpIAeRxOYKrSnUvIaSvt9aG5Z7qUfoVNswKg1VYZJnQWnwIclNnFjqobxDushKVRIFHO4nG9HTmzU2pkBrpGA8a1mdtJ1xUVJ/XenZ9PtEspv0dL30UlxSZuFGl2a4EcnB4ABwpXZh817pVgYUSUGytJoixk61MgUIa+aaNBfWH3yIjFuXBM7WZ7Q+cGqzZnPq2axrVqcNMQoEkTpGahcxGgQRgqf1AmMk0Sfl0s26wTnBpG4ZT6ZMfNIdmjYw2f9v7b4hgBWT2nuNhn6pGJQ2mQoVitZ51icebaGUqTC/MXP0reZwv6TQmoHV+AiH+gVHBiWFFsQo6FvFpBWs9C2HepLf+u2PoEXkZ3/mTUSpkd2pMCnaRsazljak/uFRZSiMWAgLzjqTotIofAwXyFTvJLOQpRluTHIwOABcyV3YvFea1iOB1vvOSSyw3DMsVwaEWJxAQjckJlSyV5y5mm+tTkGAFOeG2U5t1jyxOuHUpMF7z9S1nFmfEKKg9ZJJTUpjtJ6qkTTe4yMcHVQUBhCBzTp9jfo69ynWwEjBch+EtDjfsGQNy/0S2fX2RyV51oqlcQGkwBSaw0qxMrQpNRQjZaFpvecmU2G1SAJ9HqatZ1RYVnoF08bjosAKv9CYmrcSSyFACDa7ieV+YRjX7aJOVIrUFVYHj1GW2ElWb21F3mlWJUsz3JjkYHCNudK7sHnB2ci04BsvCURKbbdNm1ahS900JPvK7kQybQTrdbI1XO4Z1mfJc3izdjgBPnrGdYMLAh8l41lgs6kZlhoroXWO4KDpvInHdYPSacLZd4vIfMb6eqsT9DiXCpIyfa+thCkKR1JYtYVAKehJhVYKGyKHKsvxQxXOBbQWNHVAKNBCsDysmLTJwP5wv2DiHE0bOLZcMupZTq5uQBSd93BgqTjXIWaUYFI7Zt6z3DmUTZsWFwLEZDRjpGR1mgYatUpyFFt/j3aaVcnSDDcmORhcY87fhZ1fQN7LLmxecLYu4EJSRJ3LVs+ZzxIAixOJD8nEvGcVtfOLVNKs9kyalknTcGajxYVIr1CL3nZCsk1IxirQxFQ89Q4QDdZq2tbRulRgbbi+AoEgdQhZCVInKYmeTT8XRMR0suNeeKS0DEuLVQrnPYNKcfvxEaVJQn0hBOq6TgN/hWZQGKxSaAmlTcKEU+WB5EhXKgVEmpDaSLcKypUm6RnVbUBUYHWa7zg7adFS0LPptW0IxDpyfKW6QJBup1mVLM1wY5KDwTVmvgtrXOgcqrYPnWkln/IubF6MPv+9thajd7LbrF1qEy2MQIqkltq6tJiszRraNrWOCiExWrGpJIKAB8atozASAbgApM0pzsOptUnXApkeu95OBRqoTPJZMBqWe5peYbBGUalkGqOlYFAZhoVGyNSaqxAU1hAj1M4zLBSNlxglODasGFYa1/18NGmnH1WquRQmne5MoRAidYkNzqsdaSUprWLoDSECAfqlwWpF6z1NCDRtpFCSUWUpdXKR240V5Y0uzXAjkoPBNSZ1CMETm8nQ3Pm48C1OxT84Nix3vQtzPnB22jCpfdq5dsvvtPH0CsVKZZNi6Ra7zWkTaH3ngdwkeYTSKFoPp+sppzZmrE9aWh+IUiSnsZCmjyNJgC2SROqsTNO2tU87ZxOTBEPjU5Do4sR1hSKlh0SEoZXcfKiPtYahMUQRiS5gtKZfKpDpVBSjQFuBVkl7qBAaoyVSQllphj3NSr9k2jhE47BastJLvgPzSXCAyXRGTzqUSMN/9rzCf89q+kZR+9j5GaQTZe08a5OW9dDQt4ZRzxA6lzkl5GVlFm50aYYbkRwMDgAuBDamLU0ISJJ1pA+BQMBKyeH+7gXFNmct65P2vOnjLkhseowQLHd69j4GxvU5CWujUjfRkxsOFxwxRE6tTzk7TeXepk2FAIWg8YHWeURMi7uOyYlMihQcRHcKUIBVMJ6l7qGDfCJIwg5QAP0SooemBSGhtKBU0pHqF5ZhZdNC3waGg5KIoGk9w76hryWjLv8vgmBYWEKIzJrAUmW4aSnJgdStR0mJiJHWxUUgGBTnhAkjYGVEi0Cp1Y6+wgCx60aTKtUNTm/UrNctVimkSpsMKQVKSPo2SVtfboNxI0sz3IjkYHCN8SGyXifD90IrYiClBaRASIWIsF47VvqXLyDP3yvEpG45c0mmwIc0AetCpPZpkKxXaKKHuvXb1Ct7heJQMHz1yTFnpw2btcdqQSkFG1IwmcxoY9olz3ygcXRpkXQakKnBBaEgONiYkSSp/cEOBKb7swB6JSwVgNRMG8ekhsqkGYFekczeeybJeTjjGVWWtg3UBo72LEqrFBS8ZtoGmpCc6qxS3DQssFpRWIn3ya/YRai0WAgKzus5rQ9YrfieF74AJWCpZxFS7bgwz3fxk8ZxcmPGrPGs9EoqI5FSpvQOkHyon1q+/0aUZrgRycHgCvB0tFtaH9iYJpG4fmFoXCCEgOyKvuO6ZWPqFhpCl3uvSe0IIeJJXsMpWQ8b05a6CZzerBFRcGJUEkgaN1vzwoIkYmaNwG0EtFQEJEhJM2twLiSfgRZms2RMbz1sdl9KK3AxTRbXpILx2B3sQADpOgciTQ4bBUVRJDVZl8x2Rv2SaRs4NLAcGpaMCsug1BiTZgqE8PSE5uZDfWYuUGlJUWo2moZ6FnnWSBNlxMfI6qRm4DWDyuKD5HC/4PhSiew6wGoXtuz8Da/74b+37Vp3Wpjnu/jGBRSCI4OScqshUtemLCHPCGR2JAeDp8GV0G6ZF257RjNuHK0LndNZoA0SgaDxbpuI3KWonUeJJFOc7BMDZ6YNjQ/UtUuF4bIhdHr5yz1NjGJb+sHKNAX7rGXBmfGMb20q1seRIBVB+KSFQ0oPtaSFvvTpNJBSUqljSJB23Ad1pmBuSj8FSqBfwVKpOjE3yVKpEcLQrwwCgYyBY6M+w1KhlMBaSQgxBU8l0/cxBkalpio0LgaW0Oie6oJymhBvfOT0pCUAw8IwqixL3ens6aRk6tazOm2SDLpIv0taicXvo1GS1vvUbpxnBDLnkYPBHtk6NZw6glKhdi9Tw0YI1qcNhVVomYqAIaYUQt34RergckghkAgmjWdaezZqx/qspm4jVaFRMslOhAirE0ftalpfstIv0FJitMCq1FY6t90MUaBReAdGRLwSaSGRIA3INi32BSmQzE8E14MctaIz/SHpK0kAKenb1NIrYuoQ6hvNkaWCm5f7i+4sEQVSxmQcJKFvkyfFsLMbbXzEu0ivM6vZmLU0PrJUGIYCNmYtbRvojwyD0py7pvNSMjFG2rYFwBiDuEhXmfOB9VlL3QaslmiZFE4bH/CdNElKPyU/ijwjkDmfHAz2yKwTgUt+v+d2c0YJXAAjxa6mho2SGC1ZnzmKHT7f+shSt6u7HEJAoSXf2phycr0mhshm3SRD9RjRKmnkT5sWJBRKs1m3rPQL6tZTO1iqkh+zAIRKBYCqEAQRutODoDAacPiQ0kWCVBxWXTroenEmq+naRoFR1Z1svEOZkoFVHBpZDlUVh/qaWw4PUTJJhAwKnYT92lTklwiEFoy0ouxkppVIUtG9ThDQatnJdqSZkdIoXEz9+jttGuapR9e2vPc9/xyAX/iFX8DaC5sJfIgpuPhIv9TUbWpTLoxEyRTcZ61PXgkhUGp73aWIbkQZ7atNDgZ7YK7fU28xkzfdjrt26TEhHJXd2a7yfPpWUxe+c6fyiz58CQwKRd/u7sckRZIaaH1k3CQNoXETktQxEKNkbeqoLAghKMrkifvk2oSy0N1EsmNoNYWWTBtPv5TM2sjmtKENASnTnEFl0gSzIP0SzXWGrqf/pvPE21IfykIjoscjEBJsYbBSoQQ4UueVFhoRk9Vn32p0mb7fk9oxrAzLfYMkff+HlWV92nSDfJ5CK/qlRnSBOYRI3fleb+X81KNvW5og0eLChtz5c6et52xXoA4hpBmHrltJK4kSgroNNK5hWGr6F3HOO4hkGe2rx/XzW3GACDG1CcYYqbYs1HM9oWnjmDWB0Lt8XjbEJFMsRNKkcaFziRdp4rQyil5neLP1vS62U5qGJG2w3CuZ1R5vIlZJlJKsjhvGjefYQKCNZOY9GzNHqR3WaIyU1E3AyrDIL08a1w2wRRof0i+MSAvcrDOqn6eEHNfHQNmAVO/wQCXBewjRc2jQQwoYWMVNg5Kjw5KlssB5j4iCfqkWlqRKCGatp3WgVJKKbtok4zEsDUoJNup0ghz1LLrzHhAibR4mLg3pbT3x7SRYOPMCjyDG5Hpnd3iuEAKr0jBb3bURz9VofUgnuknjOTosOTIorptFNMtoX11yMNgDcW4afxHrQCUltZsPfV0aKQRaS4bKUtnAdMvUcDXf/WyZQL7UTsmFSNt2UhFSMJEOHzx0U6e187gYOb5U0C81rk3Fz0KpRVDZbBrWJo7VcfI+jgG0FlRGsj4BLwO+TR4FTYDZ+d+bp/m93U8MUHVeA1aDj6n9tY7QC2ne49CgYLlXgIg8fmbCkYFjWFm+cmaTIIYc6hmGlWZ96qisolcIrEzy0HUbiELwrJ6ltBotBKc2aurGMSX9rGJMJz4lBSu97cOEOwoWSoEWERcFszbQqy58rp/XMYSgX5rFD0VrifMCFQQDazgxulCO4iCTZbSvLjkY7AEhUk3Ah0BXdtyGDwErk8zE5diqA9MvDUomxU+rFKVNv/RlN0B2uZ2SJC1ow9Liwoymy/GvTmumdcrkRwSz2lOYdLI5ulSAhCfWJlgjmTRJ5TSEwNQFJrVn2RoKqxHA5jQNYnkuDAQHkfkvuAJKmQIBpO+7JLVyFpKFJ/B05rGqpegVaJ0CaD8kCfBTm1NWKoP3sdNlkixXZlGcpYJxk7yi+zKdENZmjs1Zi5ISJWJSeQ2BgTHbFrnLCRZK0tzBvKts63PP1xIqrV4UjedSJ32rrqtAkGW0rz45GOwBKdJw0LQ9pxc/l30IMR3bSyN33bFRGsXmrOWxtSm1D4s0UaEkh/qWskrdJufvBl3XyVR2swI+RowQrE3SLIGVisoGxrVmLTqKbtFAzjuCJFZKxq3nW5M6BR3RdTMF2JjVfGuzpm5aelZTWMHmLEk0Ew/2KQDODZIJUjpo1AOlBGMfmbmIlhGhSKJxpUVIifOOxmlCEJRW0caAJ7Lc0wQfeWx1g8O9ikGZDOx7WxZZHyJWJU2f+c9nUGoGhWbWnpsfKU067bkt7cKXk40W0GkKpdec/9xii5bQ3MI0dDMmdsuk8vVCltG++uRgsAeUTF0ijWuo28C4dYvUTt9oCiPp7bJ4DCn1s9kkRzKBQEoIMbUFbjaeZR/S3IBPw0ibXefI1g4moyW+W1tWJw1KSaQCRGoD1UDrAqOe4fCgoOgUL59cn3F6XHNm0tC3mlHfUnSnjp61EGpOrtWI6LHG0i9q1meAT7vtg9o5VHJOM0kDhaVLpUiWrexSYIHKpIAbhQQfUNZglcDhaFwK+APjWemE3kJIshyyNJRGY7akClPqUHZF/JB2rib9HlR2e41nvvOd72wvJxudnOrOeRGc/9yLWZieL1B4vZBltK8+ORjsES1F2gHGSN8aROrexoeUstFP4ei6OmlpXWCpsswaj49Jk6i0Kg0STVoOD5OkQOsCIV7YwdT6gJQCn3SViQiCC4QoGBSGaetZnzVJCweRLCgbx2bdMKsDvSLJJyshU6qj8QwrS4hwerMhekfdtNQOgk/DZgc1EFhSgdiQdpBVCWUBIkaiiBidFlUXU0E4RKgKSdcpjFECKxTjmaMoNCsDm+RCjGDmI0qQ5KVtkvGeS0comSQr5mzd2c7nB+bPFWzf2V5MNlpKyXfccQdtSLv/+QZjp+fuZGF6vaZQsoz21ScHgz3iQlpUQhBszFpc8GipGJYao8W2FMClaFxgbdYSYqRufRITQxJJrYEhRtZmLaNecs3ynUn6nHlBbVI7XOuJQL/QjNuWs7OW9WlL8AEfAz2dZJFDTMW32axlY5Y09kstETJydlyzWbc0bWDSOFYnMzbqmunU0frItE5DZgc1ECy8BzQoDb0CjgxKtNYEByEmg5lCFgiViq6FUiz1Nd4lBVcfImPnsEZyYlhhtUJIgdGKEANepu6dECPTJrVvFvpcEb/UqUto6852Xvifn+hiTAY5w0LTiQbtKBstpOIH/t8fQskkYT3n/OfGubVpSOqlw2L3J9ODSpbRvrpcN2fHX/3VX+VlL3sZvV6P5eXlXb0mxsg73vEOTpw4QVVV3H333XzpS1962teydc4gKU+mxWHe2z1PHe1GQsKFwLRJXT8+BDZmDavTho1Zgw8BHzzT1uFCQFwiTx9JTltNG2i9p3URK5MCausjWiqqQjNpA6uTNg0/SUG/SCmtqQ+s147G+65lD/729Jivr85wrafxkY0JjEnDWge1XjAUMCzT7MCoUiz3Cg4vVdx6ZMjzjg84sdJjpVdgCsVSabj9pj53nFjiUK/kplGfWw73sYXlaL/kxHKP48slA5vkp6dtoF9qlkvDysCkE4SWDEtNZZM3wXyRWvhR+zQAtlk7apcWsUJ3EuIhdimdNEMwl40utcSFpFHkukB9fhvl/LlawPqk4VubM86OmzQ9vps2tuuAp/L9yDx9rpuTQdM0vP71r+euu+7igx/84K5e8973vpd/+S//JR/5yEe49dZbefvb385rXvMavvCFL1CW5Z6vJcTI5swxnrUYrSilRAqV/AhCYDxL8gGHdjFnIBBpAQ+BgCN4FrnlmfNIBEZKYlcIpNthnr9TMkpghGKjblidOVZ6Fm8jPnq0lBRGsTpukjWjVvSsSrLGJomtrU+apJKpBC5GxnXg62tT1jZnuJAczBwH24tgJGE4BIugXxZoDcZoBBElRFrIe5Zp7VjvTmOTWaA0qa5SasmgLKlsTaUlxii07lp628DhoeXwsEi1nSjw3SLvQqS0kr7R2/Lz853t2rQlhEhl1SKtZzupatftfOctkk9VNjoKkUx2Co3u2kvbruvsmbBgZhntq8d1Ewze9a53AfDhD394V8+PMfLrv/7r/NIv/RKvfe1rAfi93/s9jh07xh/8wR/whje8Yc/XEiOM6zRitXXWYJ6yaV1gXLtdzRlolcaYnlyfMSgMcW4SHEG4ZHb+rOUeVkvakHLCritObtW110oybdOJoG3T109SGelkIEgpKAH0C4NWKUURJPS0ZuYd9dizOktiZ0+cmTCeNDTeEXzExYOZGtIkXaTSJM+BSkqOLPXoW0NRpGLueOrYmNWMyj4upk6pw/0qWUzWXeDuFwwqw+G+pVhLpj3WpDoCBPqVYlhZpjOHUsnpbamXjIJaH1DiwqnYuefw5rQlCLapkRYLF7u4Y4vkvMbQNA3vvv9+4EI5inl32fkTxc/EPvwso73/XDfB4Knyla98hZMnT3L33XcvHhuNRtx55508+OCDlwwG6+vr2/5dFAVFcU45KKTKH+IiO5Q0XHSuDfBSJDHLQPAp9aSFRMmIDwIXPcFHgkjtq1vnEcrzdkrj2tF2vsWllhAjLsw7ajo5ax/STtS1VMIQpWBtXOPLgG9SYfPJtSkz37LZNMxaRxMiUZwrGh8kFDBQoDWUGoyW9ApL32oODQyH+hVKRL4SxgQpOTVp6BvF8sCw3CuSB7E1WCsZVWah6XNoYLFSYY1kvWkxSFYGduH2dnRU0Pj0DTFde++4dmgBy/3tClOR7rqURHZdQ1sX/b22SOY+/MyV5hkbDE6ePAnAsWPHtj1+7Nixxecuxi233LLt3+985zv55V/+5W2PFV2vf+2S/MNcpiB2KYndHs9T7ljSqwyz1nFyfUIbAkZKDg8LepUhBrkQN9taUNMytZ+uTlJ9YlynqWG69NHczKYNAWIashIyKVpqJVifOU5NGs5Ma4iCGJN72amNGWvjmmnrmDV0dYeDlSKay2P3yhR8lUwGNP3CLKaqY0zeCiv9gqFRND4yqjS3HR1RWsVS37BUaIRIrcIz5zm90bDcK9isG4SSHO4VCBFpXGTamTtPGw908hIxpsJyiJyeNFRWUxi1zYd6Y+bQqjPEMXOt1MReWyRzH37mSnNNg8Hb3vY23vOe91zyOY888gh33HHHVbqixOOPP87S0tLi31tPBZB2XVWhmcyS6czmLBV4tZTJ8ERKykLvSml0Ppy0OavZmCUbSUVERDg7bhiWnmFhFsNmW31pWx+6HWkactuYJdP505s1SqWcdu3T4pVaT+HIsGB93LDRpZGGRvHE6pT1pqVpPeuzwHjmcSHJNdQuvef4in+X946m6xhS0C81pVIYk9zDrFKM+pYARJEW64HVlFYzAEYDy01LlqLQDItkJB9CRCtJJVKL6XJpGJZpUY8RfAzMGk/E41zyepi/tgkB33p6VjFpUgeWkmIxKV5oxaBIAXw+Kb7V2H6vLZK5Dz9zpbmmweAtb3kL99577yWfc9ttt+3pvY8fPw7AE088wYkTJxaPP/HEE7zwhS+85GuXlpa2BYPzUVLQM5In11pqF7Yd/denLYWWHBnursc76QG1nB23aCUIAqSQBFJQODtuGVTN4r22FtTWpw2iMBRacnbSsFk7hqXm7LRh0rpkz2g1ldE8fnaM8JFSK5CCzWmLj0l+eX3Wpt2uiExmNa1v8T55E4QA9QE5EnSyPDhS+ssWUBjNwKYCaoxQGEEMnuVRj0Olxej0PSBKSisASRMBFyh16F4zt5pMHsEISWlhVKX8fIiRDZm+R60IlFp3MtUsJKKnjcdoietOaFs1dSqr8DG1fTYuMBOOqjBPq0XyavXhZ+noG4drGgyOHj3K0aNH9+W9b731Vo4fP84DDzywWPzX19f53Oc+x0//9E8//S+QjKuSbLScT5UCKSOz697LGNNEsfOBXlF0w2ppcMyFyKyp2Zy1OxajA6ljZdo4vE+DbkoJlipDpSWrM8e0k8s4sdKDzlylqpIG0sn1STJpUaB0EtebBQhREvDMHEzCwTCq6QE9mywpGw+FguWe5tDAslIZJHKRM5m5SE9qhqVBG8lyaXHeE7rhLhlTd9C32pqjw4KiGxQLMdKzisZ5RpU5t/iFNP2rlKB1yadgK1pKJk3LEVtAhKnzVObcf635dHAq6gY2mlSErp7mdPA8bTiu02lkazfR0+3Dz9LRNx7XTc3gscce48yZMzz22GN473n44YcBuP322xkMBgDccccd3H///fzwD/8wQgh+9md/lne/+908//nPX7SW3nzzzfy9v/f3nta1+BCZtoFRadFSMHVblEZ1GjyatqEzor/0bqp2Hu+htMnofGPa4mOqOxRWp8e9oHbJ8WzOPGccY6T1EaNT+2ntAzcNy85ofQYErNBECRA5O21pYsCFlEoILuCFROuAUoZKNcmmMkja1l/zQGCBoYLlQVLhJAhGQ0tPK4RUDCrLTYOCwhpGfU2MkTMbLSdW0mPEpCOllWZz5tBaMK49UUTwkQ0tAYGRoDuj+tbFZNITkiBd69MsSM9qQpeaq6ze0tqbAq5WkkBMkiLn/djnJ7rSBGatZFiaKzI0JWKkaT3TrnZVGMlSobelop4qWTr6xuS6CQbveMc7+MhHPrL494te9CIAPvWpT/Hyl78cgEcffZS1tbXFc37+53+e8XjMT/zET7C6usr3fd/38Sd/8idPa8YAusXBefrdf4oy6G1HaecDk3Z3JvZz20wdJZt1Q93ErhQtaGNgoAxKcsEA2zxn7LpjvACEiAQPUUes1ixVZtHRFFzEEXE+Mms8RipElw/HeZASSUQqQdvA2UlL/bS+S3vHkNJAji4YVDDsVSAiQ2O4aamkrDStCxRWc2hYsNIrKHUS3SuWNUtVCTFNiRdGMXOepTJpCZUquX41rUMqycasoTCKw6ViVKQA77punRih7YK90gJjFZszhw8BoyVGKoxSWB1pQ9ICipfI5QuRdKR2U0+CJEfx/Oc/f/H3OYsFO8JSzzLcMoEcn2adIEtH35iIGJ8h44pXgPX1dUajEWtra5esGcxaz+NnJvSs6gxE4oXBoPHccqh32d3fuHb80V9/jSdXZ/S6nf9c9x5g0niOrZT84P/z7Av6yTdnLWvTls1ZS+MDa5OWr5+d0C8MELs20tT5okgDcd84O0FIqLRm7BxnNmtWxzU9q9icNnxzfcqZjYazYxhfZWXSuQVlJLWxamCphMNDS1UqDvdLnr2yhFZJ0G+p0qT0f2Slb1mpSjZaR6Eko56hcSm/X1pFZSSFVkxbx6Aw3cRwYFgapEgnr55RjHrn+vhTjt8zbjzjOokRGi3SwGHjsN0cwbRTjB0UhkGliR6QMCjMBfc4a3033Hbh554Km7OWmQs7/n49na/hQ2R12qDlzvWG1PAQWL6OdY9uJHa7psF1dDI4SBglKYxk0uVqGx+6LD/YLjgUVu1q92eUpJApvVDY1Ikkt+jebzYOK3beSWopmDWOb21MmbmIVQJE4OT6hCP9gkGpGM8azowdSz3Nk+tTTp6dMGk8Rbc4BiLRR05vtklEzXk2Z9BcxUBQAKVKHsRKQTNNJ4PKwuGhYWVYcGRoedbSgKhgVJT0jMJaSaE0tXcoIams5vAgqYmeGte0jWdgNYd7BiGT0YwQUGvPdJw+p+W5NuCp89jGo9W5eYD5iWxUGTa71Emv6xQ7Pa5ZGzdUheboUsmw0EgpmQbXtZ9CZbamk66Mps5+zhjkltUblxwM9sC8m+j0xgwhBaXWGAkuwHrdEkNkpW929R+x9YF+YTg+rGhCak2MIaR5ACU4PqwYdJ0nVm//z79Zt6xOW6Zt5Oy4SRpGLnB2MuPrp8coowjOs9444pmAlgotk/qm80lltfWOb23OoFNA3ZwmK8f9HDCTJIlpRxocsyqlgpJ0N8QS+hKWSkWvLFjpWUa9iqrUtD7SxsDSoEJLiQ+epcIihGRYKZaKtPAf05KNsiZ42KgdzgcCkVF3EtBagIDVaZPsPlvP+qxlzTSUVlNaSakUM+8ptV4Ixc3F5oySSZ5awC2H+6ljqWOxI+/c07ZOil+JAux+Lti5ZfXGJQeDPaKlpF+YZDXZ9fxD6nPXRqDl7v7Dh5jkBDSRk+MZ65OWxqdd/qGh5aa+pSr1BdPMdev5xtkpp8Y1MoAW4L1nddayOm6ZNC2mlfS1RoSkjqoLzfKgYFr71MGEZzJz1I2ncZ4ATJp0IlDsXxeRAYyGUqTWVSHSPMNypZOFpPRYrbh5pc9K31AoxXTW0lSGUamxRhJDEomzVmG0ZFAYjgwKZl2ef1hZDvcLNmvHpHZESEVnBKXuhr8EnNlMsntCpFntwqQi9KwJNDIkX+O+REm1KALPZah9iMSLzJMs0lCFWSyee0mrNE3D+973PgDe+ta3Yq3d1wU7S0ffuORgsAd8iHhg1DdsTl3yI/AOozTLvZQ39t3zLvefptAKo+HkqsP5dMTXaZ3CeTg7dQz65gK/5bPjhq+dHTNtIp5I3SYjlTPTlvVZCyLS1gGrACXoS0uhFbULlFahlOBLT2ykNJSRICLjukV69u3w34PUtWNSCqjUgtZHJjMoDAgZwQiWrWWpshwfFliTOoGESA5yhdVURiFEoPECZCq+NyGwOmmwVi1y9XNxP6tsKrSHkET6utrLuHbJNMgFiJ6Vnl10bM1ajxKSED3TNmwzsVFSEKJIQVPuvOjOd+dCsOti8cVo2+3ntP1esLN09I1JDgZ7IMS0M5zWjrpNueH5f/e69clQpdC7OqZbLQkentycMaosNw0qpIyEIJh6z5ObM561Um1LEdWt5/Q4TSxLkU4ptQicnrR8c3Wahp9cmjweqxYhJFPnQCa3s8pITm3M2Jy11E3D1CXfYyI4CfgrdyqYTwsr0oJvS6i0YlhaQBJi4HA/KatqLegbiy0NAyvpWUMbArVrOTIsee6hPtOmRYpk3OJcGuIa2NRjf3pcc0RWqQhBl3LqDlQ9q6h9WrjnVqXTJqWPNsaOw0t2m0ew6U4ApU6OcAuf4w4pxOLzOy26+51O2c8Fey4dff6cwZVKc2UOJjkY7AEpBJPGcWqzpnaepo3EGBEiMDGColEcEXB0cPkW1sYFZt2Qk5GCIEn5ewkmCkaVYeY8jTtXM5h0i5gQgkndYo1ifZIc0dY2Gwor8B4gEhBYSSfX3LAxbVNto2mY1I4Q08SzF4FZS3qdgCKmusFeho/Pjc3ByKRBsdZ3u2QJS6VhWJmuFVJyaFDSN2bRKnvL4QGKlM8nRiotGZUGhWDSerTRCEAqQU8pSpPy9xszx6RpWeoGxlofFn7RAEpIeoWiaQOr45pTk5roYRYD81g77wwTpBmO0qRTx7Q5f7YgUFmFvMjue7/TKfu9YGfp6BuPHAz2yObE8eTajF6hOzMT8CENka2NZ5RKwaHLv8+kcdQ+8tzDfRofGc9cMraXgn7fYlVaACeNw2qb8tUhopUiisjUJSG6cdMyqR1r0xYxg16h0ALq2uFNMt2ZEdmoPVIE2ibiIygkQkLdBnxMRfDukPCUMKQNudWAgKZNJ4FnHSmwUjJpGto2IqVCCJl61UvLwEpKmzwHeoVN7l6d33PrIyARQtB433UNCTQpGA8Ky6hvMDLJSGspFn3wqpsK79nUGz9tPEolsb4kT61ZqdKiPQBqH/nWxgyjBFLKpFckBaUpGBaaQqsLisEDq5i6nf0lrkY65Wos2Fk6+sYhB4M90PrAel0jZSpiJqP11A1jtWTWCjbqeldDZwBEgVGSYZUkFEIISCnTezWOuEUcaP6fPrlsde2PpDSVD4FAYHWzZdqkHaJQgXq1ASkx3TTtsNKE6IjB46XCdsXutoUpaUcf2Ll2MB8Ia9geMDTpBNCv0p9WSvpVwVJlWOkVnJm2bNaO6AM9K1FSUllJYdLnW98iEFSVomck1SBJUU+aBh8EszYkj2KRFuPNWfKTODYq6Xc75EndsjkLhJBkJeY75JJUH5CBzonOU2jJzAms6BRcp2mOQFjFwEimweMjbMxaDvcto57dUadHqwtlG652OiUv2JkrQQ4Ge6BxgbqFQz2L7NIRXXYFqySHepZxk1I7F9sdzheWQisGpWbaeEqru1TQuUVk2nj6pV60Lkoh0oIkBYeKgnWd1EcbndpSp02bDGlqMMoiQpJRdqFFCxj1LVIprFbpq0iBj8nMRYmU35+3fO50OnDASEFfQd2kVNJ8tCkCWsJyr2JYGWJMwm9tiPSkZCrSqWZ14qgKjdGBm5cN/UJxerNluZdqASJC4zxGwtAaxo0nhDR3IaLgyfW0g1ci/SxGvbRDblzAaL8wjpl/n12ILPUMwQdObtRpmrhb0KVMA2dJToSk5SRTcDZabvsm7LTo5nRK5plCDgZ7QAhSx4+AXqFTi2FM3S5Kis4OM50WzmcnAbBBIfnGuO5mFtS2oTMfIs8ZFYt6gZIC0wWg5YHhRKx4Yn1G43xy1AqCvpZoo3BRUkjBUk/RNi1BRE4s91gqLP1CcnbiaVtH05kVhJAC2lxxPzXLnpOGiKRUUK+A5b7hzKRlVsOol+6t0IZBqTi2XCGBEAIekSSgQzcUZzQDI9LJQHfCagR6heX4qMexUUWIkbOTho1JQ5SCw4WhblJ9ozRpVsJIgRCS9VlDv9SLRXilMhAjZ8b1Nq2e0mg2aoeVkqpUnWF9MqXZqB2FSdpOk8YTRVIyrUxqW91NZ9h+7c6FEDz3uc9d/D2T2S9yMNgDhU7DTZPGU3c+xZAGgVwIOB8ZWn1BO+hWATApBCGktkWJIKrIE2sziBGlBEYqSqs4vmI5tlRte5+e1SghqNvQFVZhVge0kox6BYKAkl12XCbhtaqvup1zuqalnkVEx4YQuCiRuiHG9AvhSQFh69qmux2y1VBaweGlisIY1qYzjNSUStArNEILNqeBUT/NN/SLtFC72KIxDEtBZS2DUjIqCvqFwGrN4SMFUUoKLal9ZKVnqVuPNYK+tQgZKbWmMpLGRcZN6uQaT1pO6xmj0qIEqfXU6gu0ematJ8Tkf7BVaqFnFeM6KYhWVtP4wHLPYlR6ToyR2oVrNnFrjLmszHsmcyXIwWAPWC25aankK2fGTGqfiq8EFEmmQki4aam8YGJ41uWrBbDeOsYzl1JFSjK0huAbpk0Sjyu1ZtTTSRn1vNxzYRSH+5bTmzWhEyo7tuQ5caii2qxpXWRt1hKFQAuBVklPRkpBjIJZCAQvUFJRKEelA4UUlDYybWAG9IGiguDSvIPwUGgQEloX2Zw4hj3NoBowqQNKplOSiCBV57msU6dPqTUDm8zfjRSMegWjSiKkYqUqQCaJh2kTaAksVwYtk+nM6jQZ149sEpDrFZqqSJGp9h5kkpVufKDqcvVpoRfMY/G4dtTOJ3+CGLf15wshsFrhQ+pkGnYNAXPyxG3mRiEHgz0yqgyllHxrMus0RtPwV+sdRwclo2q7SJgPMXUOuVQM9j6lFkqlObs5YzLzjHoFNy8bGtdSWrvw5d2ctRd46w5Kw7Dqag1asdy3HF+qWJ+2qJgE2FofiDGmFbxTJXWtY7lv2IyB0HqaKAhBowrDUR05tdHimjQhjO8mXBXoMtUGpnVKFzkildEc6Vtq75jWnsIajgwLVkrLtzanNAFGlWbWRpSU6BCxhaAOgVNTjxGp33RUpV15vxBYI+lbg4shBQiXZCRiCKhuka6dByIDazi+VFDOW5ikYLN2F8g3K5lOUbGMFDv052spODutqYpq26wB5InbzI1DDgZ7xIVIv9QgSmoXCTEghaTQgn6RdsFbCTEybXxqa9QqyUirtPC0IQWSce1RIu3exzOXJm2B9doxPE8lUkrBct+ipWPSpIVtuaeTFn+MaYGsG6RI48yNixQmFTy9F4ggUFpyrDPCOb1hODNt02TC2NPGVDOwGqRPQnKl0RjpKAvBLStlCnr9grOTGikDR4YFNy/3GBWGpb5lMmvxAnpFSrGMG4eUioGVzNqWQmtiDNRNKgb3yjTYJSQMtUFGQAgms4aZDxRRJ42hbhd/dGAZ9YqUCqIbLHOBuvXbgoGWAkRKG5VGMSh06irq6jZSCgZGY7s6QozxwEzcNk3Dv/gX/wKAf/JP/gnW2su8IpPZGzkY7AEfIuu1ozSaQ4OSxgV8SHl6q5Oa6fkLeIxp0S90MrEJRLRIiqfTJtC2gXHbohFoDa2D0yLQtxoX9AVtqlIIKpMsLWeN54m1KVpq+oVm0nhmtWPSRg73BbUXKBkYVgVGpslbgadvTNcBpKhKRd97NpTGGk9ogQhWgrUSIzWDnqJcSkHg8KhEhrSIr/QKhqXmUK9gZVAwawMjBSulwQuBBCbOczhGQkjFYR8lhzpr0FmTFvjDg4JZ4xcTawIY9VJRunGeQiU70LaOLPcsK/2iC64yGfXEc4qd5ZaCrxCCUp0bPtNKdj4UqQOocYEj/ZSOO4gTt5PJ5Jp+/cyNQQ4Ge6D1gboNC/8BJQVSyEW3h9WSSWdCfy43PZc4CF1bZ1IJBZi0DePGYUwSYVNSIERESsl67ahiIGXxzzHXp9lsknCE73a4zz3UZ1K3/H+nx7ip58wEBlZyeFAk6QQVsbpAEvBRUpo0AOZ8yp0f6lmQETNpiEBVWAaFTumcwqCt4juftcxNSxXfXJuBhJuHPY4uF8zqZPpuJcy8wFrFsNRMW8d4PYnPKS2YNZ6eNfSMobKKUEbqEGld2rk3PqClTG2wInX4nB4Hpm2Slx6WkkP9AroOovmcQe0CRef4trXg2/rAsNSLQvI8PQQpsFstF6ml3CKauVHJwWCPRFJRtnaBtstrS5KLlZKAuNCZrLSSWZMUToVIdolEwbQJeA+H+gbVBYzCSHpWc2ajpmHnAqaWgmnjWZvUSAEnRhUCOLMpeS5wbGCZOU+vsFglmbRJ0qIQ0DoFMWkVTVtPjIFBaVEqorViWhZszlpKk6QgopD0C8VNw4qjox6l0RxfkZRKcGSppGc1gzI5qQGsThokghPLVTo5+bTAtj6y1LeMSs2hfkHR6f2fntQ0ziOQOB8ZWEBKBIJDgyRfMa6TycxcRnpQbh8scyGl4uanirm66Fx+GrjsgFge4MrcqORgsAeMkhgpODtuKHRaSHTnB1C3vutcMdvUKpUU9I0mxjQkFkKk9p5p7Sh1OllASlkY2YnPOY/WyX/gfAlrSIufVZLSdDr/IbLSK9IAlZIoKk6Pa0JI09HLRibz9tbjQ2DY02xMWiqjiMSu3iAwis77IJ02pJb0tOTm5Yrjy30a7zk8MDz7UJ/KaAJJKC6daFLvvlWCGCJGKyprWBm0aCHxMTJsPUvVOYXQ1gUGhWGlXyAEVDHdV7vFelHJNCuw3LOc2pghYJuT19x0fi20aS4iRISIFyz2eUAsk9mZHAz2gJICqyQuBAqhCCHVAOZbUhcCVl3YgTJXmvQhMuop+oViTTvOThpMt4OFgFIKHwISGBQaqy8sYM7drgqjUkukFBRKYJO4D0rOODWuU8FYpB37ck8Tg2DmXPIJMJJTG00KTK1nXDcQJVUp0UJRtJ5Zm7ppnnV4wLOXe4QgWC4tx5Z69GxKrcSYrmXmPK0LCFIwCxJiiEQRqIxiY+Y4MiwZhIjz5yQ2pq1jWKSU0axNtQEX447Sz6ornK9OGsa1ozRqoQnkQmSpMvRMEpC72GKfd/+ZzIXkYLAHfIgYLVkqDOuzZEYzzztYJVgqTZpcPW9q9XylSSklyz3Ds1Z6xBgodOpC8jGgRBrACjG1Q56/MM7drnSniySEoF8a2hixjeNQzyb9Hg1RRAop6BWWs5OGpcJSGcX6zGEUFFbRBI9qU7cOQTLoGcpewXrrGZaGUc+ipSLISK9QtCGwOm0x3f2WKom7CZ1SN41LNYL5rMXxpRKjW5xPRvIhRDZnLa1PKbFBqRcCc1ZL2sZf1MnLKpkkpUUKJAKBVuLAFHwzmeuRHAz2wHwhNkbSx1D42IlFJ9EzY5KmzU5Tqztp2RgpOD1u0EpiI4s2VSHS1PLSeVr6cM6eUIhzRielUQxLk4KNCBwelrSuRWuDVamLqFCCJqTBttVJjQsCKaBnNP1OgiGSTj1tgGN9S68yiCgorUCr5AVcWsOw0CgpWZsm/2SjBL3OolMrSc+mhXnWeoxWPHtZszpp2WwcAUEUkb7VLJUarSWF6sT1RFJqvZiTV+MDjUtzB2nOOqLFMzMQCCG4+eabF3/PZPaLHAz2gBSCxgViFBzqFxeoWaaJ13DJqdWtqYpBmTwLzoybxVAaQKElh/p2W2586+vnQeD8Qarl0vCkq1mqNKUumdQt6zPPuPacXJsRRFo8B6XBKMHquGVz2qRWWKUptaRxno1Zi9QaKyWOdPJRApRUjOs0k3DzSo8YFF8/O6FnJYXRFOft0BcG7dZyfFnTuIALYSELsVP+/mJOXs4HVscNWqbup62y0Ru1Y3jewNn1jjGG++6771pfRuYGIAeDPRLFOeme83PQovv8U0Gp5Klc6AgxQCetrC6xsM1rEC5EKqNonU/+Bi7l6L1SbExrpJQs9TStdygbCW2ab6isYtQrIAo2mpamcYgqLeJ1p2O0UhbJwzF4lFCURiMlKCmZ1IFpnSSxl3sWKZKf8/kyHHMLyPlJyWqJ3aLMulP+/mJOXmvTZAE56p2b4ZgHqLmXweAZFAwymatFDgZ7IMTUm96ys7GJVqnFdLfiZrPWIxAcHlx4yrjUAnd+DUJrxUBJliuDVZLHTo85NY4MVJo2HpWW564s0frA2UnNwGoGVhGC4VBjWZ046iaiRcAq3RnVdCcC2Q3LdbUNCRiliDF1IRVadh08O32/nrq+z05OXiFGJLDcu1CvCbacQHbhPX012ckHIZM5aORgsAeSuYzEKEnrkiOX6ySsC93p4LO7xW/eFTQvEJ9/yrjcArdTDSLGyPq0Zdx6DvUsMaT0SpRQGUW/MvSN5ptrU+q2ZtAzHF+p0KrpunCSlpCUgiZEdAgcHRbULrmFVTZZThZGdSJv6d598Dve8171fc6/Nx8im0JccPKYc/4J5Fqzk1z5vC6y21RW27b85m/+JgBvfvObMebClGEmcyXIwWAPbM3XD0qz425+6+J3qZ3hvBh9sXVytwvcPIjMZbLHjUu9+IWm9pFmmhYmEHjnk/hbjEyDp/KKUmqWSs/Ue5ZsQVEItEhy0YUVFFahfdLsKYxCSii1wqhUP5FdoGl9ckG4khaQ83uTIp08LlZYPkgKo1vlyreeHGcu0HbqqLsJCDFG1tbWFn/PZPaLHAz2yPk5bS3T0Nm8PbI0alc7w3lX0JVa4Gatx4dIvzBIWbMxc0glkgG995weNxBTB07PKobK0DgYuxplBEvGslKZboZAYWQ6BQwLixSBs1NH6zz90lBoSeuT3v9K3zKwaeZhv/R9tgbhnexED5LC6PznsDUI5tpG5iCTg8Ee2SmnvXXxA3a1M7ySC5wPkWnrF45rSgjWG8/hYZK/Vkomb2UlWZ14Bj3L4Z7l1LjBBclKzzKqkrGLC0l/6cRyhRCCjbpFiGQC37MGbQQ+QuPSwNhyZRYL/n5O+F6ssHwQFEbnnJ/6O5+DWtvI3NjkYPA0uJT/7eas3fXO8EoscM4HNmYtZzbrhSxEjAGrBBvTNi1MMTIwGhccQ6uIQnZyz4pRz6QpYJMGyqQUyXFNK5aqpJm0OWs5PChZ7tvuRODpF3pbIID9nfC9XBA+CG2lVyr1l8lcTa79/5xd8qu/+qu87GUvo9frsby8vKvX3HvvvQghtn3cc889V/zaVGegvrVGsJud4VZJ5WGR+vvn4ncupBPBbnLLzgdWJw1nxw2T1jNtPZt1y6TxlFZQGcnMe9Zr3/kg9/l/nr3MzcsF1kiODS2VVmzUjknrcCHgfWCll7TzU51AMupZCpPaTiPpdHN+ILgaaJVmJJarZAC0XKVZjIMQCGB76m8nDlJtI5OZc92cDJqm4fWvfz133XUXH/zgB3f9unvuuYcPfehDi38XRXGJZ18Z9rIzvNQp43JszlrWpm0n1mZoXTLOmTSBWRs53Ncs90uMmDIsNYeHJXXrkTKljVTXGWR0miKORHpGUVjJzHmslwysXkwHH5Q2yYOqMXQ91TYymTnXTTB417veBcCHP/zhp/S6oig4fvz4PlzRxXk6ReGnusD5ENmYuWTgYhRaCcZdG2bPKtanLeuzlkOdNabpFqBx3VIYRWkVzkcmjcdqGFhDILJUaKrC0HrPSq/Y1s55EBfgg8aVqm0IITh69Oji75nMfnHdBIO98ulPf5qbbrqJlZUVXvnKV/Lud7+bw4cPX/I16+vr2/5dFMVTOlFczZ1h6wNT5+nb9KPUUtIvdfL8jaAlrE5bDvULDvUNkyZwZrOm7tJAjYu0vmW5l+oFc4VUF5LvQt9eOFGcuTxXqrZhjOFNb3rTPl9tJnMd1Qz2wj333MPv/d7v8cADD/Ce97yHP//zP+cHfuAH8N5f8nW33HILo9Fo8XH//fc/5a9dGrWYOfAh9fT7bqd4qZ3h3JDFXyzhvAPifDE8mVQ9l/uWm5YqDvULKqsRQlJaybDUlDqZ22gl6GlFoeRC6yfGyKxTDT0I3TnXKwe9tpHJbOWangze9ra38Z73vOeSz3nkkUe444479vT+b3jDGxZ/f8ELXsB3fdd38bznPY9Pf/rTvOpVr7ro6x5//HGWlpYW/95LneH8nWHwyfOg1Ir+DkXhvU6rGiUpjKRx4YLnqU7T/8iwYLlnk7qnNKi+4PS4XkxSxxgX7mGuM4MvrWIpL1zb2KusxEGtbWQyW7mmweAtb3kL99577yWfc9ttt12xr3fbbbdx5MgRvvzlL18yGCwtLW0LBntlbsfoQ2RKQCBw3cJbdp+HpzetqqRgqdCcHjc75qdbH7BKsVG3yQFNCnpGYaXARbpFTTBQcrHYNS7Qt4oinwqAKyMrsVfatuUDH/gAAPfdd1+Wo8jsG9c0GBw9enRRHLsafO1rX+P06dOcOHHiqny9rYt81Xn97rTIP91p1cpqes4zbQIxhk7hX+BjagFNXw/o3NimjccagRHyogbxOT2UuFKyEnslxsi3vvWtxd8zmf3iuskBPPbYYzz88MM89thjeO95+OGHefjhh9nc3Fw854477uCTn/wkAJubm/zcz/0cn/3sZ/nqV7/KAw88wGtf+1puv/12XvOa11yVa966yM8Hweb1gnn94KnOJMzxITJtHGuThs3GIUkmOZGIUoJekeoAIqYTyHyBnxeDJzMPxD3PNtwo7OZnmMk8E7huuone8Y538JGPfGTx7xe96EUAfOpTn+LlL385AI8++uhC1EspxV/91V/xkY98hNXVVW6++WZe/epX8yu/8itXZdZg6yK/U655vsjrLvWw25mEecpi0jjWZ44YoV9oKiMpbapRSAF9qznVOYztdOKYhMikDaz0NRUcmNmBg0SWlcjcSFw3weDDH/7wZWcMth6jq6riT//0T/f5qi5OiKkrqGkDbqvFpRKLXeb8cnc7k7A1ZeF8XLh9tT4QYmRQCPpd0XrSOOo20LM7p3uslkwan9pcjcoFzh3IshKZG4mcC9gnQoiMa7doJS26uYLaBTZrR+MDQnTdQEp20s8X0vpA0UldzFMWRklcjFitdkxZGJXURF3Y+T0XiJyDvhRZViJzI5GDwT7R+oAWIgm+7ZBr3py5xSK/m5mEecoi+S97vI/bdqzzAOBDelxLQdnZV+5E7QKlUhdNgWTODQ/uJlBnMtc7102a6HpivnAPSsO06wba2okyLwbPF+LdTKtOG8fmtAUBPsBm3eJ8oNcVe6WgmxFIHUNSCZYqw+q03bHlNMbIsDR5IbsM11oyWwjBaDRa/D2T2S9yMNgH5rnmRWrovEW+ZySyOzXMuZRQnfOBceNpfOpqKazAh8i4bomkAvJclVUKsZC7KEtFBMa1o3YeQWoulcCoMgzK3LN+Oa61ZLYxhp/92Z/d16+RyUAOBvvC1lyzVjINn21Z5CFp/+xWqG5eCxiWmtoFhJD0bDKjn3T2lkbLRTF5vmPVSrLcs5RGMW39YuisMurAaP9fDzwdRdlM5nohB4N9YCehuq2L/PkeyZdia3ujlgK3JWXRs4oQYXXWsFJaqkJdsGNdLGRW54XsaZJlJTLPZHIw2CeuVK55a3ujkJJBl7JofXq8ZxVWlxwZWPrFxWsAeSG7PmnbdtFSfe+992Y5isy+kYPBPnGlcs3neyPMd/rzQbYYIRIvGQgy1y8xRr7xjW8s/p7J7Bc5GOwje8k1nz+tfDFvhPlO/6mknDKZTOZi5GBwFbhcisaHSOM8jQu4bre/VRnzWrc3ZjKZZz45GFxD5jpDmzPH2rQBBMPKUJnkTbxVGfNatjdmMplnPjkYXCOcD6xOGsa1S/IUzmO1Ym1c0xR60RK6kLAuTW5vzGQy+0beUl4jNmcta9MWH9Nkab8wyX9YCjZmLePaARdKWCuZ3MlyIMhkMleSfDK4BvgQ2Zg5hBBYLamd36JfNNcuahmUJitjZuj1etf6EjI3ADkYXANaH5g6T98mGQmJ2CZhbZVk6hxtN2yWlTFvXKy1/NzP/dy1vozMDUBOE10jRLfLV1KglbhQbjqmz2dlzEwmczXIweAaYJSkMJKmk5cujUIJQe06G0znUSqJ0eXW0UwmczXIweAq0bjApHE0Ls0GLBVJK2jWeoQQ9GwKCNMmKYz2jaJvVfYjvsGZy1F8+MMfpm3ba305mWcwuWawz8wax+qkZbNxC9XQgdUMCsVSzzCp07CZIDmXaSUpbcHhXkGRTwQ3PDFG/vZv/3bx90xmv8jBYB+ZNY5vrs9oXaCyGi3BBViftUyd52jfUvUVky3y0r0sL53JZK4BORjsI6uTltYFRj27eMxKsNqyNmnYrD3Hl6ssL53JZK45ORjsE40LbDaOyu78La6sZrOrIVgt8wxBJpO5puRcxD7hQiCEiL7Id1jLNEh2QUtpJpPJXANyMNgntJRIKXAXWetdSINkWuYfQSaTufbklWifsFoysJpp43b8/LRxDKzGXuzokMl0GGOyw1lm3xEx96stWF9fZzQasba2xtLS0tN+v4t1E00bh9GSE0sl5UVqCplMJvN0eSprWl6J9pHSak4slYs5g2nXMbRUGpZ7JgeCTCZzYMir0T5TWs1xq5OLWQhoKXNqKJPJHDiui1Xpq1/9Kj/+4z/OrbfeSlVVPO95z+Od73wnTdNc8nWz2Yw3v/nNHD58mMFgwOte9zqeeOKJq3TV27Fa0ss1gsxTxDnHRz/6UT760Y/i3M71p0zmSnBdnAy++MUvEkLgX//rf83tt9/O//7f/5v77ruP8XjM+973vou+7p/+03/KH/3RH/GJT3yC0WjEP/7H/5gf+ZEf4TOf+cxVvPpMZu+EEPjSl760+Hsms19cF8Hgnnvu4Z577ln8+7bbbuPRRx/lt3/7ty8aDNbW1vjgBz/IRz/6UV75ylcC8KEPfYi/83f+Dp/97Gd56UtfelWuPZPJZK4HrtucxdraGocOHbro5z//+c/Tti1333334rE77riD5zznOTz44IOXfO/19fVtH3VdX7HrvtLUdc0v//IvH+hrvNLcaPfsnONTn/rUDXO/cOP9jOHa3/N1GQy+/OUv8xu/8Rv85E/+5EWfc/LkSay1LC8vb3v82LFjnDx58pLvf8sttzAajRYf999//5W47H2hrmve9a533XD/aW6ke3bO8ed//uc3zP3Cjfczhmt/z9c0GLztbW9DCHHJjy9+8YvbXvP1r3+de+65h9e//vXcd999+3Jdjz/+OGtra4uPX/iFX9iXr5PJZDIHhWtaM3jLW97Cvffee8nn3HbbbYu/f+Mb3+AVr3gFL3vZy/id3/mdS77u+PHjNE3D6urqttPBE088wfHjxy/52qWlpSsydJbJZDLXC9c0GBw9epSjR4/u6rlf//rXecUrXsGLX/xiPvShDyEvo+nz4he/GGMMDzzwAK973esAePTRR3nssce46667dnzNfBh7fX39KdzFtWV+rdfTNT9dbqR7bppmkTbY2NjAWnuZVzwzuJF+xnP2457n77UroYl4HfC1r30t3n777fFVr3pV/NrXvha/+c1vLj62Puc7vuM74uc+97nFYz/1Uz8Vn/Oc58Q/+7M/i3/5l38Z77rrrnjXXXdd9Os8/vjjEcgf+SN/5I9n1Mfjjz9+2XX2umgt/c//+T/z5S9/mS9/+cs8+9nP3va52EW8tm159NFHmUwmi8+9//3vR0rJ6173Ouq65jWveQ2/9Vu/ddGvc/PNN/P4448zHA4RIvsLZDKZ65sYIxsbG9x8882XfW4WqstkMpnM9dlamslkMpkrSw4GmUwmk8nBIJPJZDI5GBx4zpw5wz/8h/+QpaUllpeX+fEf/3E2Nzcv+Zrf+Z3f4eUvfzlLS0sIIVhdXb0i73u12Mu17Uahdqehxo9//OP7eSsX5Td/8zf5tm/7Nsqy5M477+Qv/uIvLvn8T3ziE9xxxx2UZckLXvAC/uN//I/bPh9j5B3veAcnTpygqiruvvvuhcDdQeFK3/O99957wc9zq4bZteap3O/f/M3f8LrXvY5v+7ZvQwjBr//6rz/t93zK7LnfM3NVuOeee+J3f/d3x89+9rPxv/23/xZvv/32+MY3vvGSr3n/+98f77///nj//fdHIJ49e/aKvO/VYi/X9lM/9VPxlltuiQ888ED8y7/8y/jSl740vuxlL9v2HCB+6EMf2taaPJ1O9/NWduTjH/94tNbG3/3d341/8zd/E++77764vLwcn3jiiR2f/5nPfCYqpeJ73/ve+IUvfCH+0i/9UjTGxL/+679ePOef//N/HkejUfyDP/iD+L/+1/+KP/RDPxRvvfXWa3J/O7Ef9/yjP/qj8Z577tn28zxz5szVuqVL8lTv9y/+4i/iW9/61vixj30sHj9+PL7//e9/2u/5VMnB4ADzhS98IQLxf/7P/7l47I//+I+jECJ+/etfv+zrP/WpT+0YDJ7u++4ne7m21dXVaIyJn/jEJxaPPfLIIxGIDz744OIxIH7yk5/ct2vfLS95yUvim9/85sW/vffx5ptvjvfff/+Oz//7f//vx7/7d//utsfuvPPO+JM/+ZMxxhhDCPH48ePx137t1xafX11djUVRxI997GP7cAdPnSt9zzGmYPDa1752X6736fJU73crz33uc3cMBk/nPXdDThMdYB588EGWl5f53u/93sVjd999N1JKPve5zx24970S7OXanopC7Zvf/GaOHDnCS17yEn73d393d5OZV5Cmafj85z+/7VqllNx9990XVdN98MEHtz0f4DWvec3i+V/5ylc4efLktueMRiPuvPPOyyr0Xg32457nfPrTn+amm27iO77jO/jpn/5pTp8+feVv4Cmyl/u9Fu95PtfF0NmNysmTJ7npppu2Paa15tChQ5dVXr0W73sl2Mu17Vah9p/9s3/GK1/5Snq9Hv/pP/0n3vSmN7G5ucnP/MzPXPH7uBinTp3Ce8+xY8cuuNbzRRnnnDx5csfnz+9t/uelnnMt2Y97huRz8iM/8iPceuut/N//+3/5xV/8RX7gB36ABx98EKXUlb+RXbKX+70W73k+ORhcA972trfxnve855LPeeSRR67S1VwdDsI9v/3tb1/8/UUvehHj8Zhf+7Vfu6rBIHPleMMb3rD4+wte8AK+67u+i+c973l8+tOf5lWvetU1vLLrkxwMrgG7VWs9fvw4Tz755LbHnXOcOXPmssqrl2K/3vdS7Oc971Wh9s477+RXfuVXqOuaoih2fS9PhyNHjqCUuqDT6VLXevz48Us+f/7nE088wYkTJ7Y954UvfOEVvPq9sR/3vBO33XYbR44c4ctf/vI1DQZ7ud9r8Z7nk2sG14CjR49yxx13XPLDWstdd93F6uoqn//85xev/bM/+zNCCNx55517/vr79b6XYj/veatC7ZzLKdQCPPzww6ysrFy1QABgreXFL37xtmsNIfDAAw9c9Frvuuuubc+HpNc1f/6tt97K8ePHtz1nfX2dz33uc5e8/6vFftzzTnzta1/j9OnT2wLitWAv93st3vMCrkgZOrNv3HPPPfFFL3pR/NznPhf/+3//7/H5z3/+tjbLndRav/nNb8aHHnoofuADH4hA/K//9b/Ghx56KJ4+fXrX73st2cs9X06h9j/8h/8QP/CBD8S//uu/jl/60pfib/3Wb8Verxff8Y53XNV7izG1CBZFET/84Q/HL3zhC/EnfuIn4vLycjx58mSMMcZ/9I/+UXzb2962eP5nPvOZqLWO73vf++IjjzwS3/nOd+7YWrq8vBz//b//9/Gv/uqv4mtf+9oD11p6Je95Y2MjvvWtb40PPvhg/MpXvhL/y3/5L/F7vud74vOf//w4m82uyT1u5aneb13X8aGHHooPPfRQPHHiRHzrW98aH3roofilL31p1+/5dMnB4IBz+vTp+MY3vjEOBoO4tLQUf+zHfixubGwsPv+Vr3wlAvFTn/rU4rF3vvOdO8rYfuhDH9r1+15L9nLP0+k0vulNb4orKyux1+vFH/7hH94mcf7Hf/zH8YUvfGEcDAax3+/H7/7u747/6l/9q+i9v5q3tuA3fuM34nOe85xorY0veclL4mc/+9nF577/+78//uiP/ui25//+7/9+/PZv//ZorY3f+Z3fGf/oj/5o2+dDCPHtb397PHbsWCyKIr7qVa+Kjz766NW4lV1zJe95MpnEV7/61fHo0aPRGBOf+9znxvvuu++KLYxXgqdyv/Pf6fM/vv/7v3/X7/l0yaqlmUwmk8k1g0wmk8nkYJDJZDIZcjDIZDKZDDkYZDKZTIYcDDKZTCZDDgaZTCaTIQeDTCaTyZCDQSaTyWTIwSCTueLsZMd4viXjQw89xOtf/3qOHTtGWZY8//nP57777uP//J//A8BXv/pVhBA8/PDD1+guMjcaORhkMvvAPffcwze/+c1tHx/72McA+MM//ENe+tKXUtc1/+7f/TseeeQR/u2//beMRqNtMtuZzNUkS1hnMvtAURQ7SgtPJhN+7Md+jB/8wR/kk5/85OLxW2+9lTvvvJPV1dWreJWZzDnyySCTuYr86Z/+KadOneLnf/7nd/z8+W5tmczVIp8MMpl94A//8A8ZDAbbHvvFX/xFtE7/5e64445rcVmZzEXJwSCT2Qde8YpX8Nu//dvbHjt06BAf+MAHrtEVZTKXJgeDTGYf6Pf73H777Rc8/u3f/u0AfPGLXzwQLmSZzJxcM8hkriKvfvWrOXLkCO9973t3/HwuIGeuFflkkMnsA3Vdc/LkyW2Paa05cuQI/+bf/Bte//rX80M/9EP8zM/8DLfffjunTp3i93//93nsscf4+Mc/fo2uOnMjk08Gmcw+8Cd/8iecOHFi28f3fd/3AfDa176W//E//gfGGP7BP/gH3HHHHbzxjW9kbW2Nd7/73df4yjM3Ktn2MpPJZDL5ZJDJZDKZHAwymUwmQw4GmUwmkyEHg0wmk8mQg0Emk8lkyMEgk8lkMuRgkMlkMhlyMMhkMpkMORhkMplMhhwMMplMJkMOBplMJpMhB4NMJpPJAP8/BojOri/ihXgAAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 400x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(figsize=(4,4))\n",
+    "plt.axvline(x=0, color='grey', linestyle='--',zorder=0)\n",
+    "plt.axhline(y=0, color='grey', linestyle='--',zorder=0)\n",
+    "ax.scatter(cntryagg.eci,cntryagg.proj_p,alpha=0.05,zorder=5)\n",
+    "ax.tick_params(axis=\"y\",direction=\"in\")\n",
+    "ax.tick_params(axis=\"x\",direction=\"in\")\n",
+    "#ax.set_xlim([-1,1])\n",
+    "#ax.set_ylim([-1,1])\n",
+    "ax.set_aspect(0.065)\n",
+    "plt.xlabel(\"ECI\")\n",
+    "plt.ylabel(\"ECI*\")\n",
+    "plt.savefig(\"fig4.pdf\", bbox_inches = 'tight', pad_inches = 0.05)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "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>prod</th>\n",
+       "      <th>pci</th>\n",
+       "      <th>pci_p</th>\n",
+       "      <th>pci_m</th>\n",
+       "      <th>pci_c</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>001</td>\n",
+       "      <td>-0.058055</td>\n",
+       "      <td>-0.919122</td>\n",
+       "      <td>-2.307477</td>\n",
+       "      <td>-1.095074</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>011</td>\n",
+       "      <td>-0.047274</td>\n",
+       "      <td>-0.748433</td>\n",
+       "      <td>-1.504462</td>\n",
+       "      <td>-1.079574</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>012</td>\n",
+       "      <td>0.004117</td>\n",
+       "      <td>0.065186</td>\n",
+       "      <td>-0.488577</td>\n",
+       "      <td>-0.492125</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>014</td>\n",
+       "      <td>-0.030579</td>\n",
+       "      <td>-0.484118</td>\n",
+       "      <td>-1.760025</td>\n",
+       "      <td>-1.132278</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>022</td>\n",
+       "      <td>0.045869</td>\n",
+       "      <td>0.726199</td>\n",
+       "      <td>0.118942</td>\n",
+       "      <td>-0.481562</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  prod       pci     pci_p     pci_m     pci_c\n",
+       "0  001 -0.058055 -0.919122 -2.307477 -1.095074\n",
+       "1  011 -0.047274 -0.748433 -1.504462 -1.079574\n",
+       "2  012  0.004117  0.065186 -0.488577 -0.492125\n",
+       "3  014 -0.030579 -0.484118 -1.760025 -1.132278\n",
+       "4  022  0.045869  0.726199  0.118942 -0.481562"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pcidf = trade.groupby(['prod'])[['pci','pci_p','pci_m','pci_c']].median().reset_index()\n",
+    "pcidf.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x1500 with 6 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from matplotlib.ticker import FormatStrFormatter\n",
+    "from scipy.stats import spearmanr\n",
+    "fig, ax = plt.subplots(3,2,figsize=(10,15))\n",
+    "\n",
+    "ax[0,0].axvline(x=0, color='grey', linestyle='--',zorder=0)\n",
+    "ax[0,0].axhline(y=0, color='grey', linestyle='--',zorder=0)\n",
+    "ax[0,0].tick_params(axis=\"y\",direction=\"in\")\n",
+    "ax[0,0].tick_params(axis=\"x\",direction=\"in\")\n",
+    "ax[0,0].scatter(pcidf.pci,pcidf.pci_p,alpha=0.2,zorder=5)\n",
+    "ax[0,0].set_xlabel('PCI')\n",
+    "ax[0,0].set_ylabel('PCI*')\n",
+    "ax[0,0].text(-0.1,1.4,f'Pearson:{np.corrcoef(pcidf.pci,pcidf.pci)[0,1]:.3f}\\nSpearman:{spearmanr(pcidf.pci,pcidf.pci)[0]:.3f}')\n",
+    "ax[0,0].set_title(r'(a) $\\Phi^P$')\n",
+    "\n",
+    "ax[0,1].axvline(x=0, color='grey', linestyle='--',zorder=0)\n",
+    "ax[0,1].axhline(y=0, color='grey', linestyle='--',zorder=0)\n",
+    "ax[0,1].tick_params(axis=\"y\",direction=\"in\")\n",
+    "ax[0,1].tick_params(axis=\"x\",direction=\"in\")\n",
+    "ax[0,1].scatter(cntryagg.eci,cntryagg.proj_p,alpha=0.05,zorder=5)\n",
+    "ax[0,1].set_xlabel('ECI')\n",
+    "ax[0,1].set_ylabel('ECI*')\n",
+    "ax[0,1].text(-0.1,1.4,f'Pearson:{np.corrcoef(cntryagg.eci,cntryagg.proj_p)[0,1]:.3f}\\nSpearman:{spearmanr(cntryagg.eci,cntryagg.proj_p)[0]:.3f}')\n",
+    "ax[0,1].set_title(r'(b) $\\Phi^P$')\n",
+    "\n",
+    "ax[1,0].axvline(x=0, color='grey', linestyle='--',zorder=0)\n",
+    "ax[1,0].axhline(y=0, color='grey', linestyle='--',zorder=0)\n",
+    "ax[1,0].tick_params(axis=\"y\",direction=\"in\")\n",
+    "ax[1,0].tick_params(axis=\"x\",direction=\"in\")\n",
+    "ax[1,0].scatter(pcidf.pci,pcidf.pci_m,alpha=0.2,zorder=5)\n",
+    "ax[1,0].yaxis.set_major_formatter(FormatStrFormatter('%.1f'))\n",
+    "ax[1,0].set_xlabel('PCI')\n",
+    "ax[1,0].set_ylabel('PCI*')\n",
+    "ax[1,0].text(-0.1,0.8,f'Pearson:{np.corrcoef(pcidf.pci_m,pcidf.pci)[0,1]:.3f}\\nSpearman:{spearmanr(pcidf.pci_m,pcidf.pci)[0]:.3f}')\n",
+    "ax[1,0].set_title(r'(c) $\\Phi^M$')\n",
+    "\n",
+    "\n",
+    "ax[1,1].axvline(x=0, color='grey', linestyle='--',zorder=0)\n",
+    "ax[1,1].axhline(y=0, color='grey', linestyle='--',zorder=0)\n",
+    "ax[1,1].tick_params(axis=\"y\",direction=\"in\")\n",
+    "ax[1,1].tick_params(axis=\"x\",direction=\"in\")\n",
+    "ax[1,1].scatter(cntryagg.eci,cntryagg.proj_m,alpha=0.05,zorder=5)\n",
+    "ax[1,1].yaxis.set_major_formatter(FormatStrFormatter('%.1f'))\n",
+    "ax[1,1].set_xlabel('ECI')\n",
+    "ax[1,1].set_ylabel('ECI*')\n",
+    "ax[1,1].text(-0.1,0.8,f'Pearson:{np.corrcoef(cntryagg.eci,cntryagg.proj_m)[0,1]:.3f}\\nSpearman:{spearmanr(cntryagg.eci,cntryagg.proj_m)[0]:.3f}')\n",
+    "ax[1,1].set_title(r'(d) $\\Phi^M$')\n",
+    "\n",
+    "ax[2,0].axvline(x=0, color='grey', linestyle='--',zorder=0)\n",
+    "ax[2,0].axhline(y=0, color='grey', linestyle='--',zorder=0)\n",
+    "ax[2,0].tick_params(axis=\"y\",direction=\"in\")\n",
+    "ax[2,0].tick_params(axis=\"x\",direction=\"in\")\n",
+    "ax[2,0].scatter(pcidf.pci,pcidf.pci_c,alpha=0.2,zorder=5)\n",
+    "ax[2,0].set_xlabel('PCI')\n",
+    "ax[2,0].set_ylabel('PCI*')\n",
+    "ax[2,0].text(-0.1,1.5,f'Pearson:{np.corrcoef(pcidf.pci_c,pcidf.pci)[0,1]:.3f}\\nSpearman:{spearmanr(pcidf.pci_c,pcidf.pci)[0]:.3f}')\n",
+    "ax[2,0].set_title(r'(e) $\\Phi^C$')\n",
+    "\n",
+    "\n",
+    "ax[2,1].axvline(x=0, color='grey', linestyle='--',zorder=0)\n",
+    "ax[2,1].axhline(y=0, color='grey', linestyle='--',zorder=0)\n",
+    "ax[2,1].tick_params(axis=\"y\",direction=\"in\")\n",
+    "ax[2,1].tick_params(axis=\"x\",direction=\"in\")\n",
+    "ax[2,1].scatter(cntryagg.eci,cntryagg.proj_c,alpha=0.05,zorder=5)\n",
+    "ax[2,1].set_xlabel('ECI')\n",
+    "ax[2,1].set_ylabel('ECI*')\n",
+    "ax[2,1].text(-0.1,1.25,f'Pearson:{np.corrcoef(cntryagg.eci,cntryagg.proj_c)[0,1]:.3f}\\nSpearman:{spearmanr(cntryagg.eci,cntryagg.proj_c)[0]:.3f}')\n",
+    "ax[2,1].set_title(r'(f) $\\Phi^C$')\n",
+    "\n",
+    "plt.savefig(\"figs1.pdf\", bbox_inches = 'tight', pad_inches = 0.05)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## export dataset to analyze in matlab"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(11544, 12)"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cntryagg2 = cntryagg[cntryagg.bin>0].assign(ry=cntryagg.region+cntryagg.year.astype(str)).sort_values('ry').reset_index(drop=True)\n",
+    "cntryagg2.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sio.savemat('data/cntryyear_pmc.mat', {'struct1':cntryagg2[['year', 'region','ry', 'avgrca_p','avgrca_m','avgrca_c', 'proj_p', 'proj_m', 'proj_c', 'eci','bin', 'gdppc']].rename(columns={'ry':'cntryyear','avgrca_p':'zct_p', 'proj_p':'ecistar_p','avgrca_m':'zct_m', 'proj_m':'ecistar_m','avgrca_c':'zct_c', 'proj_c':'ecistar_c','bin':'bindiversity'}).to_dict(\"list\")})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Index(['year', 'region', 'prod', 'export', 'regionsum', 'prodsum', 'yearsum',\n",
+       "       'rca', 'binrca', 'pivec_p', 'pivec_m', 'pivec_c', 'pci', 'pci_m',\n",
+       "       'pci_p', 'pci_c', 'pcil_m', 'pcil_p', 'pcil_c', 'llrca', 'bin',\n",
+       "       'avgrca_part_p', 'avgrca_part_m', 'avgrca_part_c', 'avgrca_p',\n",
+       "       'avgrca_m', 'avgrca_c', 'diversity', 'rct_p', 'rct_m', 'rct_c',\n",
+       "       'rct_demean_p', 'rct_demean_m', 'rct_demean_c', 'proj_p', 'proj_m',\n",
+       "       'proj_c', 'eci_part', 'ry', 'bincounts'],\n",
+       "      dtype='object')"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df2=df.assign(ry=df.region+df.year.astype(str))\n",
+    "df2['bincounts'] = df2.groupby('ry')['bin'].transform(sum)\n",
+    "df2 = df2[df2.bincounts>0]\n",
+    "df2.columns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(235, 11544)"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "Rcpt = df2.pivot(index=\"prod\", columns=\"ry\", values='llrca').fillna(0)#.values\n",
+    "Rcpt.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sio.savemat('data/rcptcolumns.mat',{'cntryyear':Rcpt.columns.values})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "zct = df2.pivot(index=\"prod\", columns=\"ry\", values='avgrca_p').fillna(0).values[0,:]\n",
+    "zct.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ecistar = df2.pivot(index=\"prod\", columns=\"ry\", values='proj_p').values.sum(axis=0)\n",
+    "ecistar.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pcistar = df2.pivot(index=\"prod\", columns=\"ry\", values='pci_p').fillna(0).values[:,0]\n",
+    "pcistar.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sio.savemat('data/fig5b.mat',{'Rcpt':Rcpt,'zct':zct,'ecistar':ecistar,'pcistar':pcistar})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df['share'] = np.where(df.regionsum>0,df.export/df.regionsum,0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sharemat = df.assign(ry=df.region+df.year.astype(str)).pivot(columns='prod',index='ry',values='share').fillna(0)\n",
+    "sharemat.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "rygini = Index(data=sharemat.values+1e-12,index='gini').results\n",
+    "ryshannon = Index(data=sharemat.values+1e-12,index='shannon').results\n",
+    "ryhhi = Index(data=sharemat.values+1e-12,index='hhi').results\n",
+    "len(rygini),len(ryshannon),len(ryhhi)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cntrylabel = pd.read_csv('data/cntrylabel2.tsv',sep='\\t',dtype='string')\n",
+    "cntrylabel.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cntryagg2 = cntryagg[cntryagg.bin>0].assign(ry=cntryagg.region+cntryagg.year.astype(str)).sort_values('ry').reset_index(drop=True)\n",
+    "cntryagg2.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cntryagg2 = cntryagg2.merge(\n",
+    "    pd.DataFrame.from_dict(\n",
+    "        {\"gini\": rygini, \"shannon\": ryshannon, \"hhi\": ryhhi, \"ry\": sharemat.index}\n",
+    "    ),\n",
+    "    how=\"left\",\n",
+    ").merge(cntrylabel, how=\"left\")\n",
+    "cntryagg2.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sio.savemat('data/cntryyear_pmc.mat', {'struct1':cntryagg2[['year', 'region','ry', 'avgrca_p','avgrca_m','avgrca_c', 'proj_p', 'proj_m', 'proj_c', 'eci','bin', 'gdppc','gini','shannon','hhi','label']].rename(columns={'ry':'cntryyear','avgrca_p':'zct_p', 'proj_p':'ecistar_p','avgrca_m':'zct_m', 'proj_m':'ecistar_m','avgrca_c':'zct_c', 'proj_c':'ecistar_c','bin':'bindiversity'}).to_dict(\"list\")})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/python/data/API_NY.GDP.PCAP.KD_DS2_en_csv_v2_2252313.csv b/python/data/API_NY.GDP.PCAP.KD_DS2_en_csv_v2_2252313.csv
new file mode 100644
index 0000000..8d5696c
--- /dev/null
+++ b/python/data/API_NY.GDP.PCAP.KD_DS2_en_csv_v2_2252313.csv
@@ -0,0 +1,269 @@
+"Data Source","World Development Indicators",
+
+"Last Updated Date","2021-03-19",
+
+"Country Name","Country Code","Indicator Name","Indicator Code","1960","1961","1962","1963","1964","1965","1966","1967","1968","1969","1970","1971","1972","1973","1974","1975","1976","1977","1978","1979","1980","1981","1982","1983","1984","1985","1986","1987","1988","1989","1990","1991","1992","1993","1994","1995","1996","1997","1998","1999","2000","2001","2002","2003","2004","2005","2006","2007","2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020",
+"Aruba","ABW","GDP per capita (constant 2010 US$)","NY.GDP.PCAP.KD","","","","","","","","","","","","","","","","","","","","","","","","","","","15669.6160398263","18427.6115299095","22134.0172712515","24837.9509579621","25357.7869437251","26329.3131412118","26401.9687400419","26663.2077602359","27272.3100411519","26705.1813209964","26087.7756610939","27190.5014747821","27151.9237278694","26954.404887031","28417.3842120132","26966.0548644166","25508.3027198476","25469.2876015726","27005.5294296216","26979.8853984373","27046.224230202","27427.5785719272","27365.9311941508","24463.6921995023","23512.6025956397","24233.0010815022","23781.2572983852","24635.764947531","24563.2343250816","25822.2513745534","26231.0266768348","26630.2052807325","","","",
+"Afghanistan","AFG","GDP per capita (constant 2010 US$)","NY.GDP.PCAP.KD","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","330.303552908057","343.080889714587","333.216684486798","357.234719908026","365.284494951006","405.548979051796","412.014286663305","488.300250990155","543.303041863931","528.736648057768","576.190125450699","587.565090150175","583.656192833123","574.184114271259","571.07377452356","571.440690906349","564.609991742901","573.287551042738","",
+"Angola","AGO","GDP per capita (constant 2010 US$)","NY.GDP.PCAP.KD","","","","","","","","","","","","","","","","","","","","","3193.40386146031","2947.19411234777","2844.32188041471","2859.91920641002","2925.36676659462","2922.21685478586","2902.61784962511","2916.79393491043","2989.61658586719","2889.88585921143","2697.49077823593","2635.15554951792","2401.23365594738","1767.02533535","1733.84384399231","1930.79950949125","2122.96845868156","2205.29400017451","2235.39017194206","2211.12993969616","2205.20533780581","2223.33463308956","2444.41778235176","2433.86155040755","2608.7840447081","2896.55472912948","3116.18103865483","3424.37170191088","3668.07989214814","3565.05693638622","3587.88379824396","3579.95990738589","3748.45065461021","3796.88218936433","3843.19787714916","3748.32011771476","3530.31067153378","3409.93030259958","3233.90623484048","3111.15769874335","",
+"Albania","ALB","GDP per capita (constant 2010 US$)","NY.GDP.PCAP.KD","","","","","","","","","","","","","","","","","","","","","1992.29193141135","2064.98366201803","2081.41762946956","2060.25372979627","1992.11089530965","1986.32191372469","2058.12060889689","2001.53265726801","1936.2322073095","2070.28951506789","1838.66748471688","1331.80531341432","1243.60582446625","1370.82607057959","1493.78590178292","1703.28184475531","1869.86587314624","1676.12710708271","1835.6466813013","2085.42599716821","2244.62463172571","2453.62441365203","2572.72143217486","2725.17138911963","2887.37034243453","3062.67388299547","3263.90171311883","3485.32240934607","3775.58131429173","3928.45039149695","4094.3503344202","4209.87480089435","4276.60790388367","4327.37995998728","4413.29689127908","4524.3730858712","4681.82656299266","4864.31061630449","5074.85722194352","5210.68829038413","",
+"Andorra","AND","GDP per capita (constant 2010 US$)","NY.GDP.PCAP.KD","","","","","","","","","","","41701.5444268705","41449.7985565243","42605.7949944759","43744.396232266","44186.4290832146","42711.4745829757","42634.0917910764","42514.4209587348","41901.2714300987","40617.2283412736","40076.7104991884","38494.1831759067","37365.7752340516","36396.0078557637","35450.3115567374","34732.872913185","34384.9106439106","34840.7420976256","35178.8672109271","35460.8900418109","35410.3176062566","34926.5667828861","33923.9841131311","32427.0466237806","32296.1802412276","32577.0673618283","33821.6667720915","36907.4285929324","38196.3937249671","39621.2565388614","40379.390206452","42393.0818204197","42607.056937381","44328.7604494183","46010.1013427567","46880.8061047792","47845.400420286","47594.8281439041","44317.5502434378","41668.8373600629","40852.6667774434","41191.7854116591","39769.5614582283","39143.6896810315","40914.7285238633","42140.9617984695","44107.9563309965","44430.7440094935","45133.7136149095","45887.3021264552","",
+"Arab World","ARB","GDP per capita (constant 2010 US$)","NY.GDP.PCAP.KD","","","","","","","","","","","","","","","","4069.29706657125","4565.94641927511","4786.3381133601","4601.04077608879","4974.0526343136","5254.16730081613","5245.4324948427","4623.11851328074","4174.48328371861","4104.12045200896","3889.60858616919","3954.46370683489","3821.82075059212","3926.34563357885","3909.91531936399","4266.2360780366","4215.2855807567","4343.24818263543","4367.30186541724","4393.26199200571","4377.4566680337","4474.29596402499","4560.82653272493","4698.90059701862","4682.82969190953","4836.09530392798","4808.04638980802","4733.16686024951","4878.15154586759","5218.4621865787","5393.94029230816","5611.25410600898","5725.91471416968","5913.54227181057","5797.32713748938","5926.71296268116","6008.89692801383","6266.26881457638","6331.42558635702","6352.8055723166","6424.35820704436","6518.06325824662","6445.93377633857","6456.27832472536","6428.59338306899","",
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diff --git a/python/data/cntrylabel2.tsv b/python/data/cntrylabel2.tsv
new file mode 100644
index 0000000..9166806
--- /dev/null
+++ b/python/data/cntrylabel2.tsv
@@ -0,0 +1,250 @@
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