Data Visualization.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "import pandas as pd\n",
    "import random as rn\n",
    "import matplotlib.pyplot as plt\n",
    "from gurobipy import *\n",
    "import numpy as np\n",
    "import seaborn as sn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.rcParams[\"figure.figsize\"] = (10,6)\n",
    "plt.style.use(\"fivethirtyeight\")\n",
    "plt.rcParams.update({'figure.autolayout': True})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "path = \"C:/Users/garg1/Desktop/IAC Jupyter Files/demand_profile.csv\";\n",
    "\n",
    "#importing demand profile\n",
    "demand_profile = pd.read_csv(path,header=None);\n",
    "demand_profile = demand_profile.iloc[:50,:].copy()\n",
    "nr_cust,nr_t = demand_profile.shape;\n",
    "\n",
    "#demand_profile = demand_profile*2\n",
    "\n",
    "#getting demand of the customers\n",
    "demand = demand_profile.sum(axis=1).values;\n",
    "\n",
    "#getting mean hourly demand of each customer\n",
    "mean_hourly = np.rint(demand_profile.mean(axis=1).values)\n",
    "\n",
    "\n",
    "# Loading Data Related to fuel\n",
    "path = \"C:/Users/garg1/Desktop/IAC Jupyter Files/fuel_properties.csv\";\n",
    "data2 = pd.read_csv(path);\n",
    "data2['Eff- kWh/$/CO2'] = data2['kWh/Unit Fuel']*100/data2['Unit Price']/data2['CO2 lbs/Fuel Unit']\n",
    "data2['Eff- kWh/$'] = data2['kWh/Unit Fuel']*100/data2['Unit Price']\n",
    "\n",
    "#getting length of the data\n",
    "nr_fuel = len(data2.index);\n",
    "\n",
    "alpha_rate = list(data2[\"kWh/Unit Fuel\"].values) #capturing kWh/fuel source\n",
    "beta_rate = list(data2[\"CO2 lbs/Fuel Unit\"].values) #capturing CO2 lbs/fuel source\n",
    "\n",
    "fuel_supply=[]\n",
    "capacities = [.50, .60, .20]\n",
    "for i in range(nr_fuel):\n",
    "    fuel_supply.append(round(demand.sum()*(capacities[i]/alpha_rate[i]),ndigits=0))\n",
    "    \n",
    "\n",
    "#other fuel properties\n",
    "cost_fuel = list(data2[\"Unit Price\"].values) #capturing cost of unit fuel source\n",
    "\n",
    "cost_ramp = 0.50; #ramping up or down cost\n",
    "\n",
    "caligraphy_n = 24; #maximum number of price change allowed\n",
    "\n",
    "#epsilon_rate = round(np.median(mean_hourly),ndigits=0); #maximum ramping allowed at no cost\n",
    "\n",
    "epsilon_rate = round(np.median(mean_hourly),ndigits=0); #maximum ramping allowed at no cost\n",
    "\n",
    "cost_gamma = [10,10,10,10,15,15,15,15,20,20,20,20,20,10,10,10,10,10,10,15,15,15,10,10]\n",
    "#cost_gamma = [5,5,5,5,10,10,10,10,15,15,15,15,15,5,5,5,5,5,5,15,15,15,10,10]\n",
    "\n",
    "\n",
    "cost_emission = 10;  #Penalty cost of CO2 emisisons\n",
    "\n",
    "#inconvenience cost to the customer\n",
    "cost_xi=pd.DataFrame(0,index=np.arange(nr_cust),columns=np.arange(nr_t));\n",
    "\n",
    "#Maximum overconsumption allowed more than psi\n",
    "omega_rate=pd.DataFrame(0,index=np.arange(nr_cust),columns=np.arange(nr_t));\n",
    "\n",
    "for i in range(nr_cust):\n",
    "    n = demand_profile.iloc[i,:].max()\n",
    "    m = demand_profile.iloc[i,:].mean()\n",
    "    for t in range(nr_t):\n",
    "        r = demand_profile.iloc[i,t]\n",
    "        cost_xi.iloc[i,t] = abs(round((1-(r/n)),ndigits=2))\n",
    "        omega_rate.iloc[i,t] = abs(round(r*(1-r/n)*1,ndigits=0))\n",
    "        \n",
    "times=range(nr_t)\n",
    "fuels=range(nr_fuel)\n",
    "customers=range(nr_cust)\n",
    "\n",
    "psi_values = [5000, 70000,180000] #low, Medium, High Psi Values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "cust_cost_comp = []\n",
    "\n",
    "for k in range(nr_cust):\n",
    "    cust_cost_comp.append(sum(demand_profile.T.iloc[:,k]*cost_gamma))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "low_MCE_leader = pd.read_csv('low_MCE_leader.csv', index_col='Day-hours')\n",
    "low_MCE_wh = pd.read_csv('low_MCE_wh.csv', index_col='Day-hours')\n",
    "low_MCE_wl = pd.read_csv('low_MCE_wl.csv', index_col='Day-hours')\n",
    "low_MCE_vplus = pd.read_csv('low_MCE_vplus.csv', index_col='Day-hours')\n",
    "low_MCE_vminus = pd.read_csv('low_MCE_vminus.csv', index_col='Day-hours')\n",
    "low_MCE_ukt = pd.read_csv('low_MCE_ukt.csv', index_col='Day-hours')\n",
    "\n",
    "low_MWCE_leader = pd.read_csv('low_MWCE_leader.csv', index_col='Day-hours')\n",
    "low_MWCE_wh = pd.read_csv('low_MWCE_wh.csv', index_col='Day-hours')\n",
    "low_MWCE_wl = pd.read_csv('low_MWCE_wl.csv', index_col='Day-hours')\n",
    "low_MWCE_vplus = pd.read_csv('low_MWCE_vplus.csv', index_col='Day-hours')\n",
    "low_MWCE_vminus = pd.read_csv('low_MWCE_vminus.csv', index_col='Day-hours')\n",
    "low_MWCE_ukt = pd.read_csv('low_MWCE_ukt.csv', index_col='Day-hours')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "med_MCE_leader = pd.read_csv('med_MCE_leader.csv', index_col='Day-hours')\n",
    "med_MCE_wh = pd.read_csv('med_MCE_wh.csv', index_col='Day-hours')\n",
    "med_MCE_wl = pd.read_csv('med_MCE_wl.csv', index_col='Day-hours')\n",
    "med_MCE_vplus = pd.read_csv('med_MCE_vplus.csv', index_col='Day-hours')\n",
    "med_MCE_vminus = pd.read_csv('med_MCE_vminus.csv', index_col='Day-hours')\n",
    "med_MCE_ukt = pd.read_csv('med_MCE_ukt.csv', index_col='Day-hours')\n",
    "\n",
    "med_MWCE_leader = pd.read_csv('med_MWCE_leader.csv', index_col='Day-hours')\n",
    "med_MWCE_wh = pd.read_csv('med_MWCE_wh.csv', index_col='Day-hours')\n",
    "med_MWCE_wl = pd.read_csv('med_MWCE_wl.csv', index_col='Day-hours')\n",
    "med_MWCE_vplus = pd.read_csv('med_MWCE_vplus.csv', index_col='Day-hours')\n",
    "med_MWCE_vminus = pd.read_csv('med_MWCE_vminus.csv', index_col='Day-hours')\n",
    "med_MWCE_ukt = pd.read_csv('med_MWCE_ukt.csv', index_col='Day-hours')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "25.699962850000002"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_46 = med_MCE_wh.iloc[:,46]+med_MCE_wl.iloc[:,46]+med_MCE_vminus.iloc[:,46]-med_MCE_vplus.iloc[:,46] \n",
    "\n",
    "low_cost = sum(med_MCE_wl.iloc[:,46]*med_MCE_leader['Low_Price'])\n",
    "high_cost = sum(med_MCE_wh.iloc[:,46]*med_MCE_leader['High_Price'])\n",
    "inc_cost = sum(med_MCE_vplus.iloc[:,46]*cost_xi.T.iloc[:,46])\n",
    "(low_cost+high_cost+inc_cost)/1e6"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "high_MCE_leader = pd.read_csv('high_MCE_leader.csv', index_col='Day-hours')\n",
    "high_MCE_wh = pd.read_csv('high_MCE_wh.csv', index_col='Day-hours')\n",
    "high_MCE_wl = pd.read_csv('high_MCE_wl.csv', index_col='Day-hours')\n",
    "high_MCE_vplus = pd.read_csv('high_MCE_vplus.csv', index_col='Day-hours')\n",
    "high_MCE_vminus = pd.read_csv('high_MCE_vminus.csv', index_col='Day-hours')\n",
    "high_MCE_ukt = pd.read_csv('high_MCE_ukt.csv', index_col='Day-hours')\n",
    "\n",
    "high_MWCE_leader = pd.read_csv('high_MWCE_leader.csv', index_col='Day-hours')\n",
    "high_MWCE_wh = pd.read_csv('high_MWCE_wh.csv', index_col='Day-hours')\n",
    "high_MWCE_wl = pd.read_csv('high_MWCE_wl.csv', index_col='Day-hours')\n",
    "high_MWCE_vplus = pd.read_csv('high_MWCE_vplus.csv', index_col='Day-hours')\n",
    "high_MWCE_vminus = pd.read_csv('high_MWCE_vminus.csv', index_col='Day-hours')\n",
    "high_MWCE_ukt = pd.read_csv('high_MWCE_ukt.csv', index_col='Day-hours')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_rates(low_MCE_leader, med_MCE_leader, high_MCE_leader,\n",
    "               low_MWCE_leader, med_MWCE_leader, high_MWCE_leader, \n",
    "               xaxis=times, comp_cost=cost_gamma, psi=psi_values):\n",
    "    \n",
    "    title_row = ['With CE', 'Without CE']\n",
    "    psi_labels = ['Low \\u03C8', 'Medium \\u03C8', 'High \\u03C8']\n",
    "    pad = 5 # in points\n",
    "\n",
    "    fig, axes = plt.subplots(1,2, figsize=(16,8), constrained_layout=True, sharey='row', sharex= True)\n",
    "\n",
    "    axes[0].plot(low_MCE_leader['Low_Price'], label='Low-Price', alpha= 1)\n",
    "    axes[0].plot(low_MCE_leader['High_Price'], label='High-Price', alpha= 1, ls='--')\n",
    "    axes[0].plot(comp_cost, label='Comp-Price', alpha= 0.75, ls=':', c='k')\n",
    "    axes[0].set_ylabel('cents/kWh')\n",
    "    axes[0].set_xlabel('Day Hours')\n",
    "    axes[0].set_xticks(np.arange(0, 24, step=2))\n",
    "    axes[0].legend()\n",
    "    axes[0].set_title('With_CE')\n",
    "    \n",
    "    axes[1].plot(low_MWCE_leader['Low_Price'], label='Low-Price', alpha= 1)\n",
    "    axes[1].plot(low_MWCE_leader['High_Price'], label='High-Price', alpha= 1, ls='--')\n",
    "    axes[1].plot(comp_cost, label='Comp-Price', alpha= 0.75, ls=':', c='k')\n",
    "    axes[1].set_xticks(np.arange(0, 24, step=2))\n",
    "    axes[1].set_xlabel('Day Hours')\n",
    "    axes[1].legend()\n",
    "    axes[1].set_title('Without_CE')\n",
    "    fig.suptitle(f'Low \\u03C8- {psi[0]}', fontsize=24);\n",
    "    \n",
    "    plt.savefig('low_psi.jpg',quality=95)\n",
    "    \n",
    "    plt.clf();\n",
    "    \n",
    "    fig, axes = plt.subplots(1,2, figsize=(16,8), constrained_layout=True, sharey='row', sharex= True)\n",
    "\n",
    "    axes[0].plot(med_MCE_leader['Low_Price'], label='Low-Price', alpha= 1)\n",
    "    axes[0].plot(med_MCE_leader['High_Price'], label='High-Price', alpha= 1, ls='--')\n",
    "    axes[0].plot(comp_cost, label='Comp-Price', alpha= 0.75, ls=':', c='k')\n",
    "    axes[0].set_ylabel('cents/kWh')\n",
    "    axes[0].set_xlabel('Day Hours')\n",
    "    axes[0].set_xticks(np.arange(0, 24, step=2))\n",
    "    axes[0].legend()\n",
    "    axes[0].set_title('With_CE')\n",
    "    \n",
    "    axes[1].plot(med_MWCE_leader['Low_Price'], label='Low-Price', alpha= 1)\n",
    "    axes[1].plot(med_MWCE_leader['High_Price'], label='High-Price', alpha= 1, ls='--')\n",
    "    axes[1].plot(comp_cost, label='Comp-Price', alpha= 0.75, ls=':', c='k')\n",
    "    axes[1].set_xticks(np.arange(0, 24, step=2))\n",
    "    axes[1].set_xlabel('Day Hours')\n",
    "    axes[1].legend()\n",
    "    axes[1].set_title('Without_CE')\n",
    "    fig.suptitle(f'Medium \\u03C8- {psi[1]}', fontsize=24);\n",
    "    \n",
    "    plt.savefig('med_psi.jpg',quality=95)\n",
    "    \n",
    "    plt.clf();\n",
    "    \n",
    "    fig, axes = plt.subplots(1,2, figsize=(16,8), constrained_layout=True, sharey='row', sharex= True)\n",
    "\n",
    "    axes[0].plot(high_MCE_leader['Low_Price'], label='Low-Price', alpha= 1)\n",
    "    axes[0].plot(high_MCE_leader['High_Price'], label='High-Price', alpha= 1, ls='--')\n",
    "    axes[0].plot(comp_cost, label='Comp-Price', alpha= 0.75, ls=':', c='k')\n",
    "    axes[0].set_ylabel('cents/kWh')\n",
    "    axes[0].set_xlabel('Day Hours')\n",
    "    axes[0].set_xticks(np.arange(0, 24, step=2))\n",
    "    axes[0].legend()\n",
    "    axes[0].set_title('With_CE')\n",
    "    \n",
    "    axes[1].plot(high_MWCE_leader['Low_Price'], label='Low-Price', alpha= 1)\n",
    "    axes[1].plot(high_MWCE_leader['High_Price'], label='High-Price', alpha= 1, ls='--')\n",
    "    axes[1].plot(comp_cost, label='Comp-Price', alpha= 0.75, ls=':', c='k')\n",
    "    axes[1].set_xticks(np.arange(0, 24, step=2))\n",
    "    axes[1].set_xlabel('Day Hours')\n",
    "    axes[1].legend()\n",
    "    axes[1].set_title('Without_CE')\n",
    "    fig.suptitle(f'High \\u03C8- {psi[2]}', fontsize=24);\n",
    "    \n",
    "    plt.savefig('high_psi.jpg',quality=95)\n",
    "    \n",
    "\n",
    "def plot_demands(low_MCE_leader, med_MCE_leader, high_MCE_leader,\n",
    "               low_MWCE_leader, med_MWCE_leader, high_MWCE_leader, \n",
    "               xaxis=times, psi=psi_values):\n",
    "    \n",
    "    title_row = ['With CE', 'Without CE']\n",
    "    psi_labels = ['Low \\u03C8', 'Medium \\u03C8', 'High \\u03C8']\n",
    "    pad = 5 # in points\n",
    "\n",
    "    fig, axes = plt.subplots(1,2, figsize=(16,8), constrained_layout=True, sharey='row', sharex= True)\n",
    "\n",
    "    axes[0].plot(low_MCE_leader['Low_Price Demand'], label='Low-Demand', alpha= 1)\n",
    "    axes[0].plot(low_MCE_leader['High_Price_Demand'], label='High-Demand', alpha= 1, ls='--')\n",
    "    axes[0].plot(low_MCE_leader['Comp_Demand'], label='Comp-Demand', alpha= 0.75, ls=':', c='k')\n",
    "    axes[0].set_ylabel('kWh/hr')\n",
    "    axes[0].set_xlabel('Day Hours')\n",
    "    axes[0].set_xticks(np.arange(0, 24, step=2))\n",
    "    axes[0].legend()\n",
    "    axes[0].set_title('With_CE')\n",
    "    \n",
    "    axes[1].plot(low_MWCE_leader['Low_Price Demand'], label='Low-Demand', alpha= 1)\n",
    "    axes[1].plot(low_MWCE_leader['High_Price_Demand'], label='High-Demand', alpha= 1, ls='--')\n",
    "    axes[1].plot(low_MWCE_leader['Comp_Demand'], label='Comp-Demand', alpha= 0.75, ls=':', c='k')\n",
    "    axes[1].set_xticks(np.arange(0, 24, step=2))\n",
    "    axes[1].set_xlabel('Day Hours')\n",
    "    axes[1].legend()\n",
    "    axes[1].set_title('Without_CE')\n",
    "    fig.suptitle(f'Low \\u03C8- {psi[0]}', fontsize=24);\n",
    "    \n",
    "    plt.savefig('low_psi_demand.jpg',quality=95)\n",
    "    \n",
    "    plt.clf();\n",
    "    \n",
    "    fig, axes = plt.subplots(1,2, figsize=(16,8), constrained_layout=True, sharey='row', sharex= True)\n",
    "\n",
    "    axes[0].plot(med_MCE_leader['Low_Price Demand'], label='Low-Demand', alpha= 1)\n",
    "    axes[0].plot(med_MCE_leader['High_Price_Demand'], label='High-Demand', alpha= 1, ls='--')\n",
    "    axes[0].plot(med_MCE_leader['Comp_Demand'], label='Comp-Demand', alpha= 0.75, ls=':', c='k')\n",
    "    axes[0].set_ylabel('kWh/hr')\n",
    "    axes[0].set_xlabel('Day Hours')\n",
    "    axes[0].set_xticks(np.arange(0, 24, step=2))\n",
    "    axes[0].legend()\n",
    "    axes[0].set_title('With_CE')\n",
    "    \n",
    "    axes[1].plot(med_MWCE_leader['Low_Price Demand'], label='Low-Demand', alpha= 1)\n",
    "    axes[1].plot(med_MWCE_leader['High_Price_Demand'], label='High-Demand', alpha= 1, ls='--')\n",
    "    axes[1].plot(med_MWCE_leader['Comp_Demand'], label='Comp-Demand', alpha= 0.75, ls=':', c='k')\n",
    "    axes[1].set_xticks(np.arange(0, 24, step=2))\n",
    "    axes[1].set_xlabel('Day Hours')\n",
    "    axes[1].legend()\n",
    "    axes[1].set_title('Without_CE')\n",
    "    fig.suptitle(f'Medium \\u03C8- {psi[1]}', fontsize=24);\n",
    "    \n",
    "    plt.savefig('med_psi_demand.jpg',quality=95)\n",
    "    \n",
    "    plt.clf();\n",
    "    \n",
    "    fig, axes = plt.subplots(1,2, figsize=(16,8), constrained_layout=True, sharey='row', sharex= True)\n",
    "\n",
    "    axes[0].plot(high_MCE_leader['Low_Price Demand'], label='Low-Demand', alpha= 1)\n",
    "    axes[0].plot(high_MCE_leader['High_Price_Demand'], label='High-Demand', alpha= 1, ls='--')\n",
    "    axes[0].plot(high_MCE_leader['Comp_Demand'], label='Comp-Demand', alpha= 0.75, ls=':', c='k')\n",
    "    axes[0].set_ylabel('kWh/hr')\n",
    "    axes[0].set_xlabel('Day Hours')\n",
    "    axes[0].set_xticks(np.arange(0, 24, step=2))\n",
    "    axes[0].legend()\n",
    "    axes[0].set_title('With_CE')\n",
    "    \n",
    "    axes[1].plot(high_MWCE_leader['Low_Price Demand'], label='Low-Demand', alpha= 1)\n",
    "    axes[1].plot(high_MWCE_leader['High_Price_Demand'], label='High-Demand', alpha= 1, ls='--')\n",
    "    axes[1].plot(high_MWCE_leader['Comp_Demand'], label='Comp-Demand', alpha= 0.75, ls=':', c='k')\n",
    "    axes[1].set_xticks(np.arange(0, 24, step=2))\n",
    "    axes[1].set_xlabel('Day Hours')\n",
    "    axes[1].legend()\n",
    "    axes[1].set_title('Without_CE')\n",
    "    fig.suptitle(f'High \\u03C8- {psi[2]}', fontsize=24);\n",
    "    \n",
    "    plt.savefig('high_psi_demand.jpg',quality=95)\n",
    "    \n",
    "\n",
    "    \n",
    "\n",
    "def plot_demands_shifted(low_MCE_leader, med_MCE_leader, high_MCE_leader,\n",
    "               low_MWCE_leader, med_MWCE_leader, high_MWCE_leader, \n",
    "               xaxis=times, psi=psi_values, d_demand = demand):\n",
    "    \n",
    "    title_row = ['With CE', 'Without CE']\n",
    "    psi_labels = ['Low \\u03C8', 'Medium \\u03C8', 'High \\u03C8']\n",
    "    pad = 5 # in points\n",
    "\n",
    "    fig, axes = plt.subplots(1,2, figsize=(16,8), constrained_layout=True, sharey='row', sharex= True)\n",
    "\n",
    "    axes[0].plot(low_MCE_leader['Upward_Demand_Shifted'], label='Low-\\u03C8', alpha= 1)\n",
    "    axes[0].plot(med_MCE_leader['Upward_Demand_Shifted'], label='Medium-\\u03C8', alpha= 1, ls='--')\n",
    "    axes[0].plot(high_MCE_leader['Upward_Demand_Shifted'], label='High-\\u03C8', alpha= 0.75, ls=':', c='k')\n",
    "    axes[0].set_ylabel('kWh/hr')\n",
    "    axes[0].set_xlabel('Day Hours')\n",
    "    axes[0].set_xticks(np.arange(0, 24, step=2))\n",
    "    axes[0].legend()\n",
    "    axes[0].set_title('With_CE')\n",
    "    \n",
    "    axes[1].plot(low_MWCE_leader['Upward_Demand_Shifted'], label='Low-\\u03C8', alpha= 1)\n",
    "    axes[1].plot(med_MWCE_leader['Upward_Demand_Shifted'], label='Medium-\\u03C8', alpha= 1, ls='--')\n",
    "    axes[1].plot(high_MWCE_leader['Upward_Demand_Shifted'], label='High-\\u03C8', alpha= 0.75, ls=':', c='k')\n",
    "    axes[1].set_xticks(np.arange(0, 24, step=2))\n",
    "    axes[1].set_xlabel('Day Hours')\n",
    "    axes[1].legend()\n",
    "    axes[1].set_title('Without_CE')\n",
    "    \n",
    "    fig.suptitle(f'Total Upward Demand Shifted', fontsize=24);\n",
    "    \n",
    "    plt.savefig('upward_shift.jpg',quality=95)\n",
    "    \n",
    "    plt.clf();\n",
    "    \n",
    "    fig, axes = plt.subplots(1,2, figsize=(16,8), constrained_layout=True, sharey='row', sharex= True)\n",
    "\n",
    "    axes[0].plot(low_MCE_leader['Downward_Demand_Shifted'], label='Low-\\u03C8', alpha= 1)\n",
    "    axes[0].plot(med_MCE_leader['Downward_Demand_Shifted'], label='Medium-\\u03C8', alpha= 1, ls='--')\n",
    "    axes[0].plot(high_MCE_leader['Downward_Demand_Shifted'], label='High-\\u03C8', alpha= 0.75, ls=':', c='k')\n",
    "    axes[0].set_ylabel('kWh/hr')\n",
    "    axes[0].set_xlabel('Day Hours')\n",
    "    axes[0].set_xticks(np.arange(0, 24, step=2))\n",
    "    axes[0].legend()\n",
    "    axes[0].set_title('With_CE')\n",
    "    \n",
    "    axes[1].plot(low_MWCE_leader['Downward_Demand_Shifted'], label='Low-\\u03C8', alpha= 1)\n",
    "    axes[1].plot(med_MWCE_leader['Downward_Demand_Shifted'], label='Medium-\\u03C8', alpha= 1, ls='--')\n",
    "    axes[1].plot(high_MWCE_leader['Downward_Demand_Shifted'], label='High-\\u03C8', alpha= 0.75, ls=':', c='k')\n",
    "    axes[1].set_xticks(np.arange(0, 24, step=2))\n",
    "    axes[1].set_xlabel('Day Hours')\n",
    "    axes[1].legend()\n",
    "    axes[1].set_title('Without_CE')\n",
    "    \n",
    "    fig.suptitle(f'Total Downward Demand Shifted', fontsize=24);\n",
    "    \n",
    "    plt.savefig('downward_shift.jpg',quality=95)\n",
    "    \n",
    "    MCE_low_shift_perc = sum(low_MCE_leader['Downward_Demand_Shifted'])*100/sum(d_demand)\n",
    "    MCE_med_shift_perc = sum(med_MCE_leader['Downward_Demand_Shifted'])*100/sum(d_demand)\n",
    "    MCE_high_shift_perc = sum(high_MCE_leader['Downward_Demand_Shifted'])*100/sum(d_demand)\n",
    "    MWCE_low_shift_perc = sum(low_MWCE_leader['Downward_Demand_Shifted'])*100/sum(d_demand)\n",
    "    MWCE_med_shift_perc = sum(med_MWCE_leader['Downward_Demand_Shifted'])*100/sum(d_demand)\n",
    "    MWCE_high_shift_perc = sum(high_MWCE_leader['Downward_Demand_Shifted'])*100/sum(d_demand)\n",
    "    \n",
    "    return MCE_low_shift_perc, MCE_med_shift_perc, MCE_high_shift_perc, MWCE_low_shift_perc, MWCE_med_shift_perc, MWCE_high_shift_perc\n",
    "\n",
    "    \n",
    "df_wh, df_wl, df_vplus, df_vminus, df_ukt = low_MCE_wh, low_MCE_wl, low_MCE_vplus, low_MCE_vminus, low_MCE_ukt\n",
    "pi_h, pi_l = low_MWCE_leader['High_Price'], low_MWCE_leader['Low_Price']\n",
    "\n",
    "def cust_cost(df_wh, df_wl, df_vplus, df_vminus, df_ukt, pi_h, pi_l,\n",
    "                  cost_comp=pd.DataFrame(cost_gamma),penalty_df=cost_xi.copy(), itr1=nr_cust):\n",
    "    \n",
    "    penalty_df = penalty_df.T.copy()\n",
    "    cust = ['Cust'+str(j) for j in range(itr1)]\n",
    "    dict_columns = dict(list(enumerate(cust)))\n",
    "    penalty_df1 = penalty_df.rename(columns = dict_columns)\n",
    "    \n",
    "    cost_list = []\n",
    "    \n",
    "    for c in cust:\n",
    "        a1 = sum(pi_h*df_wh[c])\n",
    "        b1 = sum(pi_l*df_wl[c])\n",
    "        c1 = sum(cost_comp*df_ukt[c])\n",
    "        d1 = sum(df_vplus[c]*penalty_df1[c])\n",
    "        cost_list.append(a1+b1+c1+d1)\n",
    "        \n",
    "    return cost_list\n",
    "    \n",
    "    \n",
    "\n",
    "def plot_cust_penalty(low_MCE_vplus, med_MCE_vplus, high_MCE_vplus,\n",
    "                     low_MWCE_vplus, med_MWCE_vplus, high_MWCE_vplus,penalty_cost=cost_xi.copy(), itr1=nr_cust):\n",
    "    \n",
    "    penalty_cost = penalty_cost.T.copy()\n",
    "    cust = ['Cust'+str(j) for j in range(itr1)]\n",
    "    dict_columns = dict(list(enumerate(cust)))\n",
    "    penalty_cost1 = penalty_cost.rename(columns = dict_columns)\n",
    "    \n",
    "    title_row = ['With CE', 'Without CE']\n",
    "    psi_labels = ['Low \\u03C8', 'Medium \\u03C8', 'High \\u03C8']\n",
    "    pad = 5 # in points\n",
    "    \n",
    "    low_MCE_inc = []\n",
    "    med_MCE_inc = []\n",
    "    high_MCE_inc = []\n",
    "    low_MWCE_inc = []\n",
    "    med_MWCE_inc = []\n",
    "    high_MWCE_inc = []\n",
    "    \n",
    "    for c in cust:\n",
    "        low_MCE_inc.append(sum(penalty_cost1[c]*low_MCE_vplus[c]))\n",
    "        med_MCE_inc.append(sum(penalty_cost1[c]*med_MCE_vplus[c]))\n",
    "        high_MCE_inc.append(sum(penalty_cost1[c]*high_MCE_vplus[c]))\n",
    "        low_MWCE_inc.append(sum(penalty_cost1[c]*low_MWCE_vplus[c]))\n",
    "        med_MWCE_inc.append(sum(penalty_cost1[c]*med_MWCE_vplus[c]))\n",
    "        high_MWCE_inc.append(sum(penalty_cost1[c]*high_MWCE_vplus[c]))\n",
    "\n",
    "    fig, axes = plt.subplots(1,2, figsize=(24,12), constrained_layout=True, sharey='row', sharex= True)\n",
    "\n",
    "    df_sum = pd.DataFrame(index=range(nr_cust))\n",
    "    df_sum['Low-\\u03C8'] = low_MCE_inc\n",
    "    df_sum['Medium-\\u03C8'] = med_MCE_inc\n",
    "    df_sum['High-\\u03C8'] = high_MCE_inc\n",
    "    df_sum.plot(kind='bar', grid=False, rot=0, xticks=np.arange(0, 50, step=5),subplots=False, ax=axes[0],\n",
    "                title='With CE', width=0.75)\n",
    "    axes[0].set_ylabel('cents')\n",
    "    \n",
    "    df_sum1 = pd.DataFrame(index=range(nr_cust))\n",
    "    df_sum1['Low-\\u03C8'] = low_MWCE_inc\n",
    "    df_sum1['Medium-\\u03C8'] = med_MWCE_inc\n",
    "    df_sum1['High-\\u03C8'] = high_MWCE_inc\n",
    "    df_sum1.plot(kind='bar', grid=False, rot=0, xticks=np.arange(0, 50, step=5),subplots=False, ax=axes[1],\n",
    "                title='Without CE', width=0.75)\n",
    "    axes[1].set_ylabel('cents')\n",
    "    axes[1].set_xlabel('Customers')\n",
    "    \n",
    "    fig.suptitle(f'Total Inconvenience Cost', fontsize=24);\n",
    "    \n",
    "    plt.savefig('inc_cost.jpg',quality=95)\n",
    "    \n",
    "\n",
    "def plot_cust_object(low_cust_MCE, med_cust_MCE, high_cust_MCE,\n",
    "                    low_cust_MWCE, med_cust_MWCE, high_cust_MWCE,nr_cust):\n",
    "    \n",
    "    title_row = ['With CE', 'Without CE']\n",
    "    psi_labels = ['Low \\u03C8', 'Medium \\u03C8', 'High \\u03C8']\n",
    "    pad = 5 # in points\n",
    "\n",
    "\n",
    "    fig, axes = plt.subplots(2,1, figsize=(24,12), constrained_layout=True, sharey=True, sharex= True)\n",
    "\n",
    "    df_sum = pd.DataFrame(index=range(nr_cust))\n",
    "    df_sum['Low-\\u03C8'] = low_cust_MCE\n",
    "    df_sum['Medium-\\u03C8'] = med_cust_MCE\n",
    "    df_sum['High-\\u03C8'] = high_cust_MCE\n",
    "    df_sum.plot(kind='bar', grid=False, rot=0, xticks=np.arange(0, 50, step=5),subplots=False, ax=axes[0],\n",
    "                title='With CE', width=0.75)\n",
    "    axes[0].set_ylabel('cents')\n",
    "    \n",
    "    df_sum1 = pd.DataFrame(index=range(nr_cust))\n",
    "    df_sum1['Low-\\u03C8'] = low_cust_MWCE\n",
    "    df_sum1['Medium-\\u03C8'] = med_cust_MWCE\n",
    "    df_sum1['High-\\u03C8'] = high_cust_MWCE\n",
    "    df_sum1.plot(kind='bar', grid=False, rot=0, xticks=np.arange(0, 50, step=5),subplots=False, ax=axes[1],\n",
    "                title='Without CE', width=0.75)\n",
    "    axes[1].set_ylabel('cents')\n",
    "    axes[1].set_xlabel('Customers')\n",
    "    \n",
    "    fig.suptitle(f'Customer Total Cost', fontsize=24);\n",
    "    \n",
    "    plt.savefig('cust_obj_cost.jpg',quality=95);\n",
    "    plt.clf();\n",
    "    \n",
    "    fig, axes = plt.subplots(3,1, figsize=(16,8), constrained_layout=True, sharey=True, sharex= True)\n",
    "    df_diff = pd.DataFrame(index=range(nr_cust))\n",
    "    df_diff['% Change_Low-\\u03C8'] = (df_sum['Low-\\u03C8']-df_sum1['Low-\\u03C8'])*100/df_sum['Low-\\u03C8']\n",
    "    df_diff['% Change_Medium-\\u03C8'] = (df_sum['Medium-\\u03C8']-df_sum1['Medium-\\u03C8'])*100/df_sum['Medium-\\u03C8']\n",
    "    df_diff['% Change_High-\\u03C8'] = (df_sum['High-\\u03C8']-df_sum1['High-\\u03C8'])*100/df_sum['High-\\u03C8']\n",
    "    \n",
    "    df_diff.plot(kind='bar', grid=True, rot=0, xticks=np.arange(0, 50, step=5),subplots=True, \n",
    "                 ax=axes[:], width=0.75, legend=None);\n",
    "    \n",
    "    fig.suptitle(f'% Change w.r.t. With CE', fontsize=24);\n",
    "    plt.savefig('perc_change.jpg', quality=95,constrained_layout=True,)\n",
    "    \n",
    "\n",
    "def plot_cust_object_perc(low_cust_MCE, med_cust_MCE, high_cust_MCE,\n",
    "                    low_cust_MWCE, med_cust_MWCE, high_cust_MWCE,nr_cust,cust_cost_comp):\n",
    "    \n",
    "    title_row = ['With CE', 'Without CE']\n",
    "    psi_labels = ['Low \\u03C8', 'Medium \\u03C8', 'High \\u03C8']\n",
    "    pad = 5 # in points\n",
    "\n",
    "\n",
    "    fig, axes = plt.subplots(3,2, figsize=(24,12), constrained_layout=True, sharey=True, sharex= True)\n",
    "\n",
    "    df_sum = pd.DataFrame(index=range(nr_cust))\n",
    "    df_sum['Comp-Price'] = cust_cost_comp\n",
    "    df_sum['Low-\\u03C8'] = low_cust_MCE\n",
    "    df_sum['Medium-\\u03C8'] = med_cust_MCE\n",
    "    df_sum['High-\\u03C8'] = high_cust_MCE\n",
    "    \n",
    "    df_sum['%_Low-\\u03C8'] = (df_sum['Comp-Price']-df_sum['Low-\\u03C8'])*100/df_sum['Comp-Price']\n",
    "    df_sum['%_Medium-\\u03C8'] = (df_sum['Comp-Price']-df_sum['Medium-\\u03C8'])*100/df_sum['Comp-Price']\n",
    "    df_sum['%_High-\\u03C8'] = (df_sum['Comp-Price']-df_sum['High-\\u03C8'])*100/df_sum['Comp-Price']\n",
    "    \n",
    "    df_sum.drop(columns = ['Comp-Price', 'Low-\\u03C8', 'Medium-\\u03C8', 'High-\\u03C8'], axis=1, inplace=True)\n",
    "    df_sum.plot(kind='bar', grid=False, rot=0, xticks=np.arange(0, 50, step=5),subplots=True, ax=axes[:,0],\n",
    "                title=['With CE','',''], width=0.75)\n",
    "    axes[0,0].set_ylabel('%')\n",
    "    axes[1,0].set_ylabel('%')\n",
    "    axes[2,0].set_ylabel('%')\n",
    "    axes[0,0].set_xlabel('Customers')\n",
    "    axes[1,0].set_xlabel('Customers')\n",
    "    axes[2,0].set_xlabel('Customers')\n",
    "    \n",
    "    df_sum1 = pd.DataFrame(index=range(nr_cust))\n",
    "    df_sum1['Comp-Price'] = cust_cost_comp\n",
    "    df_sum1['Low-\\u03C8'] = low_cust_MWCE\n",
    "    df_sum1['Medium-\\u03C8'] = med_cust_MWCE\n",
    "    df_sum1['High-\\u03C8'] = high_cust_MWCE\n",
    "    \n",
    "    df_sum1['%_Low-\\u03C8'] = (df_sum1['Comp-Price']-df_sum1['Low-\\u03C8'])*100/df_sum1['Comp-Price']\n",
    "    df_sum1['%_Medium-\\u03C8'] = (df_sum1['Comp-Price']-df_sum1['Medium-\\u03C8'])*100/df_sum1['Comp-Price']\n",
    "    df_sum1['%_High-\\u03C8'] = (df_sum1['Comp-Price']-df_sum1['High-\\u03C8'])*100/df_sum1['Comp-Price']\n",
    "    \n",
    "    df_sum1.drop(columns = ['Comp-Price', 'Low-\\u03C8', 'Medium-\\u03C8', 'High-\\u03C8'], axis=1, inplace=True)\n",
    "    \n",
    "    df_sum1.plot(kind='bar', grid=False, rot=0, xticks=np.arange(0, 50, step=5),subplots=True, ax=axes[:,1],\n",
    "                 title=['Without CE','',''], width=0.75)\n",
    "    axes[0,1].set_xlabel('Customers')\n",
    "    axes[1,1].set_xlabel('Customers')\n",
    "    axes[2,1].set_xlabel('Customers')\n",
    "    \n",
    "    fig.suptitle(f'% Change Compared to Competitor', fontsize=24);\n",
    "    \n",
    "    plt.savefig('cust_obj_cost_perc.jpg',quality=95);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(14.192701404972018,\n",
       " 20.152836683312202,\n",
       " 20.152836683312202,\n",
       " 17.074330886577638,\n",
       " 20.152836683312202,\n",
       " 20.152836683312202)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1152x576 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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UdTGBQ0T0GlP9YOnatavGwT9dXFwwZswYAPl3kbXNzMwMXl5eAPBKd78riqpLQ1ZWFl68eCGsV12fyZMna5xmfMiQIWjatCkA9esjFouFVj0FEyOqv728vISWMQW7VKn+1pQ0UZk+fbrwo7yg/v37AwDu3Lmjtt7NzQ0WFhbIyMjA9evXi8TSs2dPtGnTBnFxcYiKiioSi+r5eVU9e/aEoaEhbt26hYyMDI1lnJ2dMXjwYI3boqKihDhnzZqlsUzhbmkVqeDz/u+//wp/q2Y3e/fdd2FmZqZx3+HDhwMAzp8/r3F706ZNheetoG7dugl/z5w5s0hXJyMjIyHpUPj5fplXeX5atGihcbyZhg0bolmzZhrPW/C9okokFDRx4sQiXS1f1cCBA7Fz507Y2dkByB8TaMeOHfjoo4/Qvn17tGjRAkuXLhXGpCnOzJkzNa5/6623AJT+WpaXQqEQWtBMmzZNYxmxWIwhQ4YAUH8dXbhwAUlJSRCLxZgxY0aR/SQSicb1RERUtTGBQ0T0GlMNzOnt7V1smS5dughlixv89GVu3ryJTz/9FB07doSTkxOsrKyEAT1VU/8mJCSU6djapvqxnJKSgtjYWACvdn0KJkeA/xIfmhI4nTt3FlrGFLe9OG3atNG4XtWqQCaTqa0Xi8XCj/3C51K1hFKdT5W0USgUuHTpUrGxqH54jhw5Ei1atICtra3wfNrY2CA3NxcKhaLYwVfbtWtX7Pgrqutoampa7GN1d3eHhYWFxm0VqWDMqq5uK1euRJMmTTT+GzRoEID8liOqcWEKUrXuKUzVlQwAmjdvXmKZws83UP7np7jrDuS3lCp83oLvleJeu4aGhuWaIWro0KG4ceMG9u3bh8mTJ6N169ZC66D4+HisWbMGXbt2RUxMjMb9VbNVaVLce6ei3blzR2iVNGzYsGJfR6oWaXFxccK+qvdJw4YNheeksNImX4mISP9xEGMioteYagao4n4AAP/9uMnJyUFaWhosLS1LdY7du3dj9uzZwqCqYrEYlpaWMDIyApDfnSYrKwuZmZlleQhaofrhVqNGDSGugrNjvcr1KTyblqqFzaVLl5CXlweJRCIkTTp06CAMOKpKqigUCmEMnpISOMW19lB139HUZcLT0xOnT59GSEgIPvnkE2HcmXbt2gmtoFavXo2QkBD4+Pjg5s2bSE1NhZmZWZEfvdnZ2RgzZoxaawATExPUrl1baBmkGry1uOdU1SVKk+TkZAD5A2UX1woJAOzs7MrcJac0Cv6oV7XGycnJEVrjvOqP/qysLOG1pWJra6uxbMHHXVwZ1bUu/Hxr4/kp7jUGaH6dFXztq1rJaKJ6r5SVkZER+vfvL7Rays7ORnBwMHx9fREYGIioqCh89NFHarPgqdSoUaPY11NJ752KpBq0GECJM02pFBzvSPU+Kel6W1lZwcTEBNnZ2eWIkoiI9Alb4BARFSMoKAhSqRTLly8v1X5ubm4au9voM02tA7QhJiYG8+bNQ15eHnx8fBAcHIykpCRERUUJA3qOGzcOAMrcukcbbt++DQCoV6+exu1luT7u7u4wMzNDWloabt68KXRRatWqFczMzIQWJo8fP0ZMTAzCw8OFpIm7u3t5Hk4RqoTQxYsXkZeXV6SlT7t27WBoaCisV/3foUMHtdlzAGDr1q04f/48LCwssGHDBty9excJCQmIjIwUnlPVrFLFPaeauoCVVmW9XlSvDQsLC6ELUMHBjE+cOAGZTPbSf5X1maCN56eiaPt8JiYm6NWrFwICAoTWTsHBwWpdAfWZ6nVkYGCAlJSUl76GCna3fFW6/Fytal6n73wiqrqYwCGiauPatWuQSqVq40cUdObMGaEbQVhYmMYyLVu2hFQqLfEHgD5U1rKysvDdd99h8ODBaNKkCaytreHs7Axvb28sWrSoyMw0y5cvFx57wX+qu76ffvppsc3tVVP3GhkZlbrbym+//YacnBy0a9cOmzdvRsuWLYskBJ4+fVqqY2pbenq60F1I1dUIAOrUqSP8/fjx42L3V12fguUBCC1tgPwflQXHv1Ep2I1Ktb19+/ZFrlF5qZJGqmRS4Vhq1KiBNm3aCLMVldSVSzXWz5dffokJEyYUaQGQmZlZ7Ngqr0LVOufp06dqiZLCCrZeqCgKhQLnzp0DkJ/MUrXgMDExEd4L9+7dq/A4SqOinx9NCr72S+oKWZHdJH18fIS/IyMjK+w82qTqBieXy/HgwYNS7at6n5R0TWUymdqYXtXN6/SdXxbajjs3Nxf79+/HqFGj0Lx5c9jY2MDR0REdO3bEzJkzhW6lKvv27dNY7yj4r27dulqLj+h1wS5URFRtvPHGG7CyssKNGzfw77//wsrKSm37X3/9BZFIBKVSicDAQLRu3Vpt+8OHDxEbGwsXFxfUq1cPNjY2CA0NLbG7hy5cvXoV77zzDmJjY2FnZ4fu3bvD0dERWVlZuHv3Lnbs2FFsi5HOnTurJRBOnDiB8PBwODg4YNKkSRr3+euvvwDkX9+CY4CofsyWdIdXldwoPA21Sm5urjDbka5s27ZNmNFoxIgRwvpatWrByckJsbGxCAoKQvfu3TXur7o+mlrNeHp64ty5cwgJCYGNjQ0A9aSIp6cn1q5di5CQEKErTkndp8rKwMAA7dq1w/nz54VkkUQiERJMqlguX76MoKCgErtyqZ7T4sYTCQwMLFesquuYlZWFsLAwtG3btkgZ1WxdFe3QoUPCD7uCrw0gv9XSuXPncOzYsWLfO7pQ0c+PJgXfKxcuXEC7du2KlJHL5UV+4GmTagYzIH+8HX3wss/IFi1awMzMDBkZGTh27FipBudWvU8iIyORmJiosatdWVrsVCWvy3e+Pnj48CF8fHxw+/ZtWFlZoVu3bnBxcUFubi4ePHgAf39/7Nq1C6tWrcKUKVPU9m3ZsqXGwdoBCONYEdGrYwscIqo2xGIxvL29oVAoEBQUVGR7YGAgXF1d0ahRI40/YlTrunbtCiD/B0GTJk30qjIXERGBwYMHIy4uDosXL8bNmzexbds2fPHFF1ixYgV+/fVX3Lx5s9hxEby8vLBw4ULh32effQYg/0df48aNi5SPjo4WBhkuPGuQaqaZkmZ+UbVSUHVDKWzr1q2vNPZDRQkICMCKFSsAAG+++aYwc5SKqlvG999/r3Gsk19++UVogaFpVqWCXZeCgoIgkUjUzqHqohQcHCwksioigVPwuIcPH0ZkZCRatWqlNluQavuOHTuQkpIitMoprKTn9MWLF8L1LKt69eqhVatWAIANGzZoLLN+/fpyneNVXLhwAXPmzAGQ/0NbNU27ytixYwHkzwx04sSJEo9VmYPjVvTzUxzV63/79u0aW/js2bNHGLeltDRNlV7YoUOHAOR3z3N1dS3TebTtZZ+RhoaGQmLQ19cX0dHRxR5LoVCoJS09PT1ha2sLhUKhcZr6vLy8Yqevry5eh+98ffD06VMMHDgQt2/fxuTJkxEeHo5du3bhyy+/xDfffIODBw/i1q1bmDNnjsbEupubm1q9o+C/4maGI6LiMYFDRNWKqiKmahWhkpKSgvDwcHTp0gXe3t64dOlSkablqn1UzbEL94ePjo6GVCoVutMUbAas6e6SXC7H2rVr0aZNG9jY2MDV1RWff/55uZq0z5s3D2lpafjkk08wZ84cjXeabW1t0bBhw1c6Xp8+fYRWGO+99x5OnToldFu5dOkShg4diqysLNStWxcTJkxQ27dp06YQiUSIjY0t9q5+jx49hGN99dVXQksXmUyG5cuXY8mSJWWeWris/v33X5w+fRo+Pj549913IZfL0ahRI3z33XdFyk6fPh1SqRSpqakYPnw4bt26BSC/5dDBgwfx8ccfA8hP9KiSDgW1adMGpqamkMlkePjwIdzd3dWSJqrxbqKiopCSklLizEvlpRpU+erVqwCKJopUAyurtqvGxSlM1RLpq6++wrlz54TXS3h4OIYOHYqHDx8WGay3tBYtWgQAOHbsGObMmYOUlBQA+e/juXPnIiAgQONU1eWVnp6OwMBATJ06FQMHDkRaWhqsra2xf//+IuP2DBkyRPismDhxItavX682mG9ycjICAgIwbNgwrFy5UuuxFqcynh9NPv74Y1hYWCA2NhYjR45EREQEgPyk0e7du7Fo0aIyzxw2bNgwdOnSBX5+frh7967QokUul+PmzZv48MMPsWvXLgD5U7fryw9w1Qxi/v7+xQ6QvHDhQtjb20Mmk6Ffv344fPiwWhfY6OhobN++HZ6enmrfawYGBkKCcevWrVi1apWQOIuPj8d7772Hmzdv6k1rpIpSlb/z//rrL4wYMQL169eHjY0N3N3dMX/+fI3divv3719sd6jyxv0yS5cuRWxsLAYPHozVq1cLY2gVJJVKsXjxYkyfPr3Uxyei0mEXKiKqVlSVucIJhaCgICiVSnTp0gVZWVnYtWsXQkNDhemhlUolgoKCIBKJhGmhC7O0tMT8+fPh5+eHtLQ0zJ8/X9imqR/3+++/j4sXL6JXr14wNzfH2bNn4evri6dPn+Lbb78t9WOLjo7G+fPnYWJiorW7VmKxGDt37sTgwYMRERGB0aNHw9TUFBKJRPgxYGNjg3379hWZmcbGxgZ9+/bFyZMnMWjQIFhaWgo/0DZu3IgePXqgTZs2GDduHPbt24d169Zh/fr1sLS0RFpaGhQKBQYNGgQ7Ozts27ZNK4+nsHPnzqFJkyYA8p/jjIwMPH/+XNgukUgwatQoLF++XOPsWnZ2dti7dy/Gjh2Lf/75B507d4aFhQVevHghVMrbtWuHjRs3ajy/kZERPDw8hLvDmsYZ6ty5M65cuSIcqyJ+XANA27Zt1WakKRyLubk53N3di03wqMydOxcnT55EfHw8hg0bBmNjYxgZGSE9PR2GhobYsWMHpk+fXq6BsXv37o3Zs2dj7dq12LFjB3bu3AkLCwvhdbNo0SIcPXoU4eHhZT7H3bt3hdcGkD82TOFZmfr27YsNGzZobNEmFouxe/duTJw4EefPn8eSJUvw1VdfwcLCAgqFQkhWAlA7T0WrjOdHEzs7O2zfvh3jx48XulFZWloiKysLubm56N69Oxo1aoTt27eX+tiGhoa4ceMGbty4ASA/eWFubo7U1FS1cZJ69OiBtWvXau0xldf48eNx5swZ/Pjjj/j5559hbW0NkUiEHj16CJ8ZNjY2OHz4MMaMGYPo6Gi89957kEgkwrUrOINUwS6sQP53zN9//w1/f38sW7YMK1euFK6LSCSCr68vFi5cWOmza1Wmqvqdv2vXLsyaNQumpqbC9+Dly5exbds2nDhxAidPnoSzs3OZrklp4y5JdnY2Dh48CCA/2fgyqhndiKjiMIFDRNVKo0aN4OjoiIiICMTFxcHR0RFAfuVOIpHA09NT+OEdGBgoVObCw8Px7NkztGzZsshgtCpSqRQLFy7E/v37kZaW9tLKTHR0NC5fvizcNfv888/h5eUFf39/fPnllyVO/6qJalySVq1alXlgwuDgYI0zbAwYMADPnj3DtWvX8PDhQ+Tl5aFJkybo168fPvnkk2LvaG/btg0rVqzAqVOnEBcXJ3QVKHgH2dfXF25ubti7dy8iIyOhUCjQtm1bjBs3Du++++4rVQrL6sWLF0IXLQMDA5iZmcHe3h4tWrRA+/btMWzYMOE1UpwuXbrg4sWL2LRpE86ePYsnT57AyMgIbm5uGDFiBCZNmlTiXe7OnTsLCRxNSZHOnTsLXR1UrWQqgrGxMTw8PBAcHFykK1fBWFQJnOJisbOzw7lz57Bs2TKcPXsWycnJqFmzJnr16oUZM2agVatWWrkL+/nnn8Pd3R1+fn64ceMGFAoF2rdvj6lTp2LQoEE4evRouY4vl8uF14ZEIoGZmRlcXFzQrFkztGnTBsOGDUOjRo1KPIZUKsWRI0dw9OhRHDhwAGFhYUhOToahoSEaNWoEDw8PDBw4ED179ixXrKVRWc+PJn369MG5c+ewcuVKhISEIDs7Gw0bNsSoUaMwffp0LF68uEzHvXv3Lk6dOoXg4GBcv34dMTExSEtLg6mpKezs7NCqVSsMGzYMb731lpYfUfm8/fbb2L59O3bs2IE7d+4gLi4OSqWySAuLFi1a4D1TFiwAACAASURBVOLFi9i9ezeOHz+OO3fuIDU1FTVr1kSTJk3g7e2NQYMGFRlbSCQSYdu2bfDy8sL333+P+/fvA8hvhTVjxgx07dq1Qj9f9UFV/M6PiYnB/PnzUaNGDfz+++9CSy0gv7XLmjVrMHv2bPj7+5fpmpQ27pJcvXoV2dnZcHBwQNOmTct0jJs3bxY7s5ebmxsGDBhQ5viIXkcimUzG+QWJqFqZOnUqfvrpJ/j5+WHMmDEAAA8PD1hZWeHs2bMAgI4dO8LCwgJnzpwBAGzZsgWfffYZpk2bhm+++QZA/h28t99+G/Pnz1erALm5ueHx48fFjmuh2h4QECDcHVRZvnw5Vq5ciQMHDqBv376lelwbN27E//73PwwdOhQ7d+4s1b6q85ak8OMkIiLSd1XtO3/NmjVYunQpPvnkE3z11Vdq5V+8eIFWrVrhyZMnuH37NhwcHADkd6EqONh9QWWN+1X88ssvmDhxIjw8PPD777+Xat99+/Zh2rRpJZYZM2YM/Pz8yhwf0euIY+AQUbVTuEl1fHw8Hjx4oNZM2tvbG1evXhW6ORTuC68NmsZEUd0dLEuFSjXuQ+Fm9KUxf/58yGQyjf+YvCEioqqmqn3nX79+HQA0dt0yNjYWWkequgzqkjbqHWPGjCm23sHkDVHpMYFDRNWOqkKmqqCpKnWFK3NyuRwhISGQy+W4cOECDA0N0alTJ63FoWlMFdVAqHl5eaU+nqr5dVxcXPkCIyIiqiaq2ne+aqYmGxsbjcdRTQmvaUanysZ6B5H+YQKHiKodOzs7NG3aFPHx8YiIiEBgYCCMjY2F2ZaA/AFcRSIRAgMDhbtyHh4eRQbq1Seqiua1a9cqdVpiIiIifVXVvvNVg/2rxuAqLDExUa0ckD9oOpA/dldhxU1Trw1t2rSBiYmJcG2JSPeYwCGiakl15y0wMBBBQUFo164dTExMhO21atWCq6srAgMDhbt1hfuuF6c8rWjKw8XFBd27d0d2dnaxsx4VVJ7pyomIiKqKqvSd7+7uDgDC4PYFvXjxApcvX1YrB0AYGDk2NrbIPmFhYRrPo424TUxMMGrUKADAihUrXlqe9Q6iiscEDhFVS6qK2c6dOxEXF6exr7m3tzfu3LmDX375RW2fl1HNyPT48WMtRfvqVq1aBQsLC2zcuBEbNmzQeDfu6dOnmDNnDg4fPlzp8REREVW2qvSdP3LkSBgZGanNHKaybt06xMfHo3fv3rC3txfWq2YgKzyBwY0bN4pMUa7tuBcvXgwnJyccPnwYCxcuVJtlUiU9PR3Lli2Dr69vuc5FRC/HacSJqFry8vKCRCLB7du3AWgeLNDb2xt+fn64ffs2zMzM4OHh8UrH7t69O65cuYLx48ejd+/eMDExgbOzM0aPHq3Vx6BJ48aN8euvv+Kdd97Bl19+iW3btqFr165wcHBAdnY27t69iwsXLiAnJ0fj1MXFTSMO5N9pmzlzZkU/BCIiIq2qSt/5devWxcqVKzFr1ix0794dgwcPhq2tLS5fvoyQkBA4Ojpi7dq1avuMGzcOmzdvxqZNm3Dr1i24uroiKioKJ0+exMCBAzXesNFW3NbW1jh69Ch8fHzg5+eHgwcPonv37nB2doZcLkdkZCSCg4ORnp6O1atXF9m/pGnEAWDmzJlqraWIqGRM4BBRtSSVSuHu7o6rV6/CzMwMbdu2LVKmc+fOkEgkyMvLg6enJwwNDV/p2LNnz0ZaWhp+++03bNy4EXK5HJ07d66UBA6Q3yc9NDQUP/zwA3777TecO3cOMpkMxsbGcHFxwYQJE/Duu++iefPmRfYNCQlBSEiIxuNaWFgwgUNERFVOVfvOnzhxIho0aABfX1+cOHECmZmZsLe3x5QpUzBnzpwiAxzXrl0bJ06cwBdffIGQkBBcuHABrq6u2LVrFywtLTUmcLQZd4MGDRAYGIiff/4ZAQEBCAkJQUpKCiQSCZydnTF06FD4+PgILYUKCg8PR3h4eLHHnjp1KhM4RKUgkslkSl0HQURERERERERExeMYOEREREREREREeo4JHCIiIiIiIiIiPccxcIiIdKikgf0K8vLygre3dwVHQ0RERNXZ1q1bkZqa+tJybm5uGDBgQCVERESlwQQOEZEOrVy58pXLMoFDRERE5eHn5/dKU4uPGTOGCRwiPcRBjImIiIiIiIiI9BzHwCEiIiIiIiIi0nNM4BARERERERER6TkmcKqhiIgIXYfwUvoeI+MrH32PD9D/GBlf+el7jIyv/KpCjPquKlxDfY+R8ZWPvscH6H+MjK/89D1Gxld+VSHGV8EEDhERERERERGRnmMCh4iIiIiIiIhIzzGBQ0RERERERESk55jAISIiIiIiIiLScwa6DoCIiOh1IZfLkZmZCQAwMTFBamqqjiMqnr7HB+hXjDVr1oSBAatVRESkHawzaJc+xVieOgNrGkRERJVALpcjPT0dUqkUIpEIxsbGMDEx0XVYxdL3+AD9iVGpVEImk8Hc3JxJHCIiKjfWGbRPX2Isb52BXaiIiIgqQWZmplARo+pFJBJBKpUKd0qJiIjKg3WG6qu8dQYmcIiIiCoJK2LVF59bIiLSJn6vVF/leW6ZwCEiIiIiIiIi0nNM4BARERERERER6TkmcIiIiIiIiIiI9BwTOERERFSsqVOnYtSoUboOg4iIiPQc6wwVjwkcIiIiIiIiIiI9xwQOERERlcnjx48xbtw4ODk5wcnJCT4+PoiLiwMAZGRkoE6dOvjnn3+E8i1atED79u2F5fPnz8PBwQG5ubkaj1/wTp6vry/c3NwAAEFBQZBKpUhOTq6oh0ZERERaxDqDdhjoOgAiIqLXmXRXXKWeTzbRUSvHUSqVGDduHExMTHD06FGIRCLMnTsX48aNw/nz52FmZgZ3d3cEBQXBw8MDkZGRSEtLQ0pKChISEmBnZ4fg4GC0b98ehoaGWomJiIioOmOdgXUGtsAhIiKiUvvzzz8RHh6O7du3o02bNmjdujV27NiB69evIzAwEADg5eWFoKAgAEBwcDA6duyINm3aIDg4WFjn5eWls8dAREREFY91Bu1hAoeIiIhK7d69e7C3t4eLi4uwrl69erC3t8fdu3cB5FfGLl++jNzcXAQHB8Pb2xteXl4IDg5GVlYWrl69KlTGZs6cCUdHR+EfERERVQ+sM2gPu1ARERFRqSmVSohEIo3bVOs7deqEFy9e4OrVqwgJCcHUqVORkZGBmTNn4vLlyzA0NETbtm0BAIsWLcL06dPVjiORSKBQKIocX7VOLOZ9KCIiIn3HOoP2MIFDRESkQ9rqX17ZmjVrhvj4eERHRwt31KKiovDkyRM0a9YMAIQ+7bt370ZGRgbc3d2Rm5uL2NhY+Pv7q/Vlt7a2hrW1tdo5nJyc8Pfffxc598OHD2FkZARzc/MKfpRERET6g3UG1hmqRxqKiEgXsjIgufUPRAmxQG6OrqMhqjBpaWm4ceOG2r/69eujZcuWmDJlCq5du4awsDBMnjwZ7u7u6NKli7Cvl5cX/P390alTJ0gkEpiYmKBt27bw9/d/aV/2AQMGIDIyEhs3bkRGRgaUSiX+/vtvrF+/Hv369YOBAe9DERER6RPWGSpW9XgUREQ6IImOgOmqOcKy3L0jsmet0GFERBXj4sWLahUsABg4cCD27duH+fPnY8CAAQCArl27YtWqVWrNpL29vbFx40a1ipe3tzcuXLjw0spYy5YtsXPnTixZsgSRkZEAgCFDhmDkyJH43//+p62HR0RERFrCOkPFYgKHiKiMRMmJastKIxMdRUJUcfz8/ODn51fs9v3795e4f69evSCTydTWLVy4EAsXLnyl8w8cOBADBw7EqlWrsHv3bly/fl1oQp2dnf1KxyAiIqKKxzpDxWMXKiKiMhI9K5TAqWOro0iIqj9TU1NIJBKhIkZERESkSXWuMzCBQ0RURuLCLXBqM4FDREREREQVgwkcIqIyEj1LUFs2CDoF452rdRQNUfU2ffp03Lx5U9dhEBERkZ6rznUGJnCIiMqocAscSfR9GAaeADLTdRQRERERERFVV0zgEBGVhUIBUXKSxk3iuKjKjYWIiIiIiKo9JnCIiMpAlPYvRPJcjdvEcY8qORoiIiIiIqrumMAhIiqDwuPfFMQWOEREREREpG1M4BARlUHh8W/UtsWyBQ4REREREWkXEzhERGUgesYEDhERERERVR4mcIiIykBUUgucdBlEaf9WYjREVZujoyP27dsnLEulUgQEBOgwIiIiItJHr3udgQkcIqIyEJcwBg7AcXCo+pg6dSqkUimmT59eZNsXX3wBqVSKUaNGafWc9+7dQ9++fbV6TCIiIqpYrDNUPCZwiIjKoHALHIW9s9oyu1FRdeLk5IRffvkFmZmZwjq5XI6DBw/CyclJ6+eztbWFsbGx1o9LRKRLT58+xfbt27F3716kp6frOhyiCsE6Q8ViAoeIqAxy+45ETv+xyO3YE3mNWkLu3kltO6cSp+rE1dUVDRo0wC+//CKsO336NIyNjeHl5aVW9scff0SHDh1ga2uLtm3bYsuWLVAoFML2hw8fon///rC1tYWHhwdOnTpV5HwFm0NHR0dDKpUiLCysSJljx46plTl8+DDeeust2NnZwdvbG+Hh4bh9+zZ69+4NBwcH9O3bF1FRUcU+zsLnKthMu3///pg7d24prhoR0X+USiVWrVqFgIAA+Pv7Y+PGjboOiahCsM5QsXUGgwo5KhFRNSf37qe2LLl2ATjlLyyzBQ69KrN3u5VpvzyXJnj+1Xcat5l+MQWS6Psat2Xs+bNM5xs/fjz27dsHHx8fAPmVrnHjxqlVbvbs2YNly5Zh1apVcHd3x507dzBjxgwYGhpiypQpUCgU8PHxgaWlJc6cOYPnz59jwYIFePHiRZliKmz58uVYtmwZ6tWrh1mzZmHy5MmoXbs2Fi9eDGtra0ydOhXz58/HwYMHtXI+IqJXlZycjDt37gjLly5dQlJSEmxsbHQYFVU1rDOwzsAWOEREWqBwrK+2LI57BCiVOoqGSPtGjBiBsLAwREZGIjExEefOncPYsWPVyqxevRpLlizBoEGDUK9ePfTr1w+ffvopvv/+ewDAn3/+ibt37+K7776Du7s7OnbsiOXLl0Mul2slxmnTpqF3795o0qQJPv74Y9y5cwdTpkxBly5d0Lx5c0yePBnBwcFaORcRUWlkZGQAAEQZaRBl5f9948YNXYZEVGFYZ6g4bIFDRKQFytq2UJqYQpT9HAAgysqE6N9nUNay1nFkRNohlUoxYMAA/Pjjj7C0tISXlxecnf8b++nZs2eIjY3FzJkzMXv2bGG9XC6H8v+Tmffu3YODg4Pafh4eHhCLtXM/ydXVVfhbdVe78LrMzExkZWUhOTkZHTt2FLbNmjULw4cP10ocRESF1atXD1NdauNs0G00NTNG216d0L5XL12HRVQhWGeoOEzgEBFpg1gMhUM9SB7mN49WSiQQPX3CBA5VKz4+Ppg6dSpq1qyJRYsWqW1T9Vlft24dOnTooHF/ZRlapakqagX3zc3N1VjW0NBQ+FskEgEADAwMiqxTKBSwt7dHUFCQsM3KykoYcLFg/3sVhUIh7E9EVGoZqRiREY1RrevmL9+7iMx/n0FpVUe3cRFVENYZKqbOwAQOEZGW5PQfC1FeLhSO9aCwcwYMDF++E732ytq/vCTF9XMvr65du8LQ0BDJycno37+/2jYbGxs4ODjg0aNHGDNmjMb9mzVrhvj4eMTGxgozUVy5ckVj5UelTp38HzcJCQnCups3b5b3ocDAwAANGjRQW2dubg5DQ0PExMSgbdu2wnqFQoGoqCh079693OcloteTODaqyNgVBn8eR+6QCboIh6oo1hlYZ2ACh4iolMQxD6A0Moaylg1g9N+0hXke3jqMiqjiiUQihISEQKlUapyyc8GCBZg3bx4sLS3Ru3dv5Obm4vr163jy5AlmzZqFbt26oUmTJvjwww+xbNkyZGdnY9GiRWp3vAozNTVFu3btsHHjRtSvXx9paWlYsmRJhTw+AwMD9O/fH6tWrUKTJk0AADKZDF9//TWSkpLQr1+/lxyBiEgzcVxUkXWGfx5H7ts+QAmfgURVFesMFVNn4CDGRESlZLxjFWrOHw+zyX1Q45MhEEdH6Dokokpjbm4OCwsLjdveeecdbN68GQcPHoSXlxf69euHPXv2wMXFBUB+0+Yff/wRCoUCvXr1wocffog5c+ZorNgVtHnzZgBAjx49MHPmTCxevFi7D6qA9evXw83NDb169UJmZiY+++wznDlzBgcOHICbm1uFnZeIqjkRoDRT/+wUy55BEqZ/g6QSaQvrDNonkslknCalmomIiEDjxo11HUaJ9D1Gxlc++h4fUL4Ya04bCFFGmrCcuc4fytranQZU36+hvscH6F+MqampsLS0FJazs7NhYmKiw4hKpu/xARUb44sXL1C/fn18/fXXeO+9915pn8LPcVWgb+8TTfQ9RsZXPvoeH6DdGI2/Ww7DkNPCsrx5a2QvWF+uY+r7NdT3+AD9i5F1Bu2rLnUGttcjIiqNF8/VkjdKiQRKq9o6DIiIKoKxsTFEIpHeV0iJSP/FxcXhyJEjsLOzg0OdhmiWlQNnU0OEp2Uj8PgZJKUvwPxvVug6TCIqo8qsMzCBQ0RUCqJniWrLSitrQCzRUTRERESk7x4+fIjTp/9rdeOepUD8kyik5OblrzhzGimz56FWrVq6CZCIqgwmcIiISkFcOIFTx1ZtWZSSBElEOMRxURDHPoL8jQ6QdxtQmSESkZbExcXpOgQiqgaePHmitlyvQ2fknvz1vwROajKCz/+BgcOG6yA6ItKGyqozcBBjIqJSECUnqC0ratupLRtcDYHJ1q9gFLAXBleCILl7rTLDIyIiIj1TcEpjALBp3xnezgVuACkUuHL0cCVHRURVEVvgEBGVwsta4OQ51Vcvr2HaUCIiInp9vPnmm3BxcUFCQgKePHmC+g0bwXHwCOy/vx6drGqgax0ztLY3gkKpBEQiXYdLRHqMCRwiolIQJasncBS11RM4Csd6asviJ9FAnhyQ8OOWiIjoddT61A9ok5IIhUM9KFo3gNzJHnAahyN/HYUhlFBIa0PeoRty8uSAgaGuwyUiPcZfFEREpVC0BY56FyqYS6GwtII49V8AgCg3F6KkeCjt61ZWiERERKRHxFH3IZY9gyQmEgAg9+gCpWM9KAa/i+eO9ZDXxgsw4M8yIno5flIQEZWC6FmhMXAKdaECAIVjfSGBA+R3o8pjAoeIiOj1k5kOseyZsKiUSKC0dQIA5A6ZoKOgiKiqYgKHiOhVyXMhSk0WFu9nZOPzBZ+jfsOGqF+/PlxdXdGqVSsoHOsDt68K5cSxj5Dn0UUXERMREZEOieOj1ZYVts5sbUNEZcZZqIiIXpEoOQkipVJYjoAxEp8+xaVLl/DTTz/h+PHjAABF4YGMYx9VapxElS06OhpSqRRhYWGvvM++ffvg6OhYgVEREele4ckMlI4uugmESE+wzlA+TOAQkXblvIDxsyeAXK7rSLROXGgA4wd56nfQGjRoAEBDAoczUVEVNnXqVIwaNarI+rCwMEilUkRHR8PJyQn37t2Dm5ubDiIkItJfsog7yM5TCMsKh3qay8lkOHnyJBYvXgyZTFZJ0RFpF+sMFY/t94hIa0SyZJgu/xQtEh5DEVAXWV9sBWqY6TosrREVGsD4YY5CLQ0uJHAc1O+uiRMfA7k5gKFRhcdIpAsSiQS2tkXHgyIiet1t/OUEQu8/hJWhBA4mhpjYX4LGhcps3boVJ0+ehDIvD6K0FPyd/QxvrvlWJ/ESVTTWGcqHLXCISGsMLp2DOOExAED8JAaGpw/pOCLtUjg3QM7bPsjt1At5Tdyw9IOJ2LBhAz755BO8/fbbaNz4/6tkNcygqGUj7CfKy4M4IVZHURNVPE3NoU+fPg0PDw/Y2tqiX79+OHz4sHD3raDAwEB06tQJDg4OGDBgAKKiol75PA0aNMC+ffsAAP3798fcuXO1/+CIiMohISn/5s+/uXm4lZ4NkV3RbiC1pVKIEh5D8iAc4oRYBJ8/B1GhsXOIqgvWGcqHLXCISGuMjv2ITHkeHj/PRf0aRjD+dXe1mmFBUb8pcuo3FZZFABoBaNSoEYD85s8BAQEICgrC0joOqJOSJJQVxz2CwrlBJUdMVcGAAQPUllVjKRV26tQpbN68WVju06cPpk+frrHsjBkzEBkZKSxv2LBBeJ1WhsePH2P8+PF4//33MXHiRNy+fRufffZZkXIvXrzAunXrsHnzZhgbG2Pq1KmYNWsWjhw5UmmxEhFVFGVWBp6kZqits3VrXaScV9eu2L98CaDI72p1PfU5nv/mD5P3q+YPTKo4rDOwzsAEDhFpTaKBKWaG3UBSjhy2xgb41t35tWnm9+233+K3336D4v8rX3+2rIfhBbZzIGOqyn7//fcigweqXuua7Ny5E/Xq1cM333wDkUiExo0b48GDB/j666/VysnlcqxZs0ZovTZ9+nRMmzYNCoUCYvHr8ulBRNVVZsQdWBsbICE7FwoAZjVrwtyqVpFyjo6OcGnuCoO719C1jhm61DFD7St/InP8x4CxaeUHTlQOrDNULCZwiEhr/kiTIyknf/DixBdyHIz7F2OyswCTGjqOrOLVqlVL7cvp3OMkDC/wCSuOYwKHqi5PT09s3LhRbd3t27fh4+Ojsfz9+/fRunVriEQiYZ2Hh0eRcsbGxv91PQRgZ2eH3NxcpKamIiMjAx07dhS2zZo1C8OHDy9yDCIifSVNfYYf2rogT6lE0gs5njVpVWzZFdt3os5nEyBO//8BjLMyYXDxHOTdBhS7D5E+Yp2hYjGBQ0Ras+vaXbXlA3EyjHv8EIrGLXUUUeXp1q0b9u7dKyzfS0rGs9py1DE2gFIiAfLydBgdUfnUqFFDGKRbJTU1tdjySqVSrSJWHAMD9WqIah+FQgF7e3sEBQUJ26ysrJCZmSlsL0yhULzSOYmIKovq5o1EJIK9iSFqt2qDnGLK1rCUQt61P4yO7xPWGZ77BfKu/QF+tlEVwjpDxdJpAickJAS+vr64fv06njx5gi1btmDcuHHCdqVSiRUrVmDPnj2QyWRo27Yt1qxZg+bNmwtlZDIZ5s2bh1OnTgEA+vbti1WrVkEqlQplbt26hblz5+Lq1auwsrLChAkTMG/ePLUnLSAgAMuWLcOjR49Qv359LF68GG+//bbWYyGqzppKzXAn/b8P6CkutSGJjngtEjg2NjZwdXVFZmYmunfvjq6dOsLs8X1kOtWH0tYJMGC+nDQrrv96YX379kXfvn1fqWzhO1+VrWnTpvjtt9/U1l25cqVUxzAwMChSATQ3N4ehoSFiYmLQtm1bYb1CoUBUVBS6d+9e9qCJiLRMXGgg4uKmEFfJ7f42DE/8BJEy/wenJCYS4ge3Xot6FL0a1hk0e53qDDrtLJaZmYkWLVpgxYoVMDUt2r9z48aN2LJlC1auXIk//vgD1tbWGDJkCNLT04Uy77//Pm7cuIGff/4Zhw4dwo0bN/DBBx8I29PS0jBkyBDY2Njgjz/+wIoVK+Dr66s2qFNoaCgmTZqEESNGICgoCCNGjMCECRPwzz//aDUWoupuo1dL/O7ZEMc7NoB/u3p4284S4pgHug5LOzLT82eEeJGNzMxMHD58GGFhYZDJZEKR//3vf9i8eTOGDRuGOg6OkHfoDqVjPSZv6LUzceJEPHr0CIsXL0ZERASOHj2KXbt2AUC57ngZGBigf//+WLVqFW7dugUg/+bJ119/jaSkJPTr108r8RMRaYM4PkptWeHoUmJ5ZR075LXqpLbO8Nyv2g6LSK+wzlA6Ok3g9O7dG1988QUGDRpUZOAhpVIJPz8/fPrppxg0aBBatGgBPz8/ZGRk4NCh/KmJ7927h99//x0bNmxAhw4d0L59e6xfvx6nT59GREQEAODnn3/G8+fP4efnhxYtWmDQoEGYMWMGtm7dCqVSCQDw8/ODt7c35syZg6ZNm2LOnDnw8vKCn5+fVmMhqu5eTJyL3D7DYSoRo7aRAWoYiCGOrh6vf4Mboai58F2YTemL+MkDsWflUnz++efw8fHBokWLAOQ3GSUioG7duti7dy9OnjwpfJ/Onz8fAGBiYlKuY69fvx5ubm7o1asXsrKy8Nlnn+HMmTM4cOAA3NzctBE+EVH5KfKgqNsICltHKEUiKEViKOycX7pbbs/BassGoX9ClPZvRUVJpHOsM5SO3g7XHB0djcTERPTo0UNYZ2pqCk9PT1y+fBlAfssZMzMzdOjQQSjTsWNH1KxZU61Mp06d1Fr49OzZE0+ePBHmlf/777/VzqMqozqGtmIhqu4UDZoh9+38AcqUJqbIa+KGvOZFp8usikTJCcLfD58mA8r/ttWpU0cHERFVDj8/Pxw8eLDI+tatW0Mmk8HFxQUuLi6QyWRo3fq/93vfvn1x5coVJCYm4uTJk0hPT4eFhYXwfhk3bhzi4uLUjunt7Q2ZTIbatWsXG4+VlRW+++47REVFwdTUFGvXrkVISAjefPNNLT1iIqoMiYmJiIuLQ2pqKrKzs4Ubq9WGWILsGd8ga9U+ZH53Cs+Xfg8YGb90tzzXtsizcUB42nNsefgUfyXKYBB4ohICJio/1hkqnt62609MTAQAWFtbq623trbGkydPAABJSUmoXbu2WtMqkUiEOnXqICkpSSjj4OBQ5BiqbfXq1UNiYqLG86iOoa1YNKmo1jlVodWPvsfI+MrO6KNvkGNVBxD9f45YT2MtzTV0irwP1SfAg4wXyIEJcp8/B5Cf0K2I50Ofn2NA/+MD9CtGExMTGBurV96zs7N1FM2rKU98O3fuRKtWrVC7dm1cvXoVq1evxsiRI5GTU9wQnqUnEokgkUj05jqmpaVp/M4vOGtGebDOoL8YX+l9++23uHbtmrA8efJkGqhBIQAAIABJREFUtXEq9E1pr+Hz58/x888/o06dOrC2toatrS3qPpe/dL9bt27B/+8YZMbm/1iNeZ6LTmeOIKJJO6CEqZL18TkuSN/jA/QrRtYZWGcojt4mcFQK93srPEq1pn5xLyujyvC/rEzhddqIpTBtVeoKioiIqJDjapO+x8j4yiciomJe29pU2mtoIv/vw75DrRpQtPDGQ7kIUVFR8PT01Prj1f/nWL/jA/QvxtTUVLWmwNnZ2eVuGlyRyhvf48eP4evri5SUFDg4OGDSpEmYN28ejIyMtBglYGhoqDfX0cLCAs7OL+8iUVasM+gnxlc2pqamMDU1xfPnz2Fqaopjx47B29sbjo6Oug6tiLJcwwcPHiAsLExYdnJywrfffvvS/YyMjLDD1BwSkQhQKhEmy8KL5KdolvkUeW28tBZfZdL3+AD9i5F1BtYZiqO3CRxbW1sA+S1bnJychPXPnj0TWsLY2Njg2bNnakkSpVKJ5ORktTKFM1vPnj0D8F+LGltbW41lCm7XRixErxOZTIbHjx8jPT0dnp6eug6n3MTP/utC1a2OOdp/NBWK+k2RV8z04EqlEuHh4Qj84XsYyJLxqasLxHGPkLXkO8C0ZmWFTaQzy5cvx/Llyyv0HA8fPtSbihgRlc7z/2/FqpKamooHDx7oZQKnLFSt9FXs7OxeaT8XFxc416uHuKQ4iFJTkAcgOCUTb54LKDaBQ1TVsc7w6vR2DBwXFxfY2tri/Pnzwrrs7GxcvHhRGGemffv2yMjIQGhoqFAmNDQUmZmZamUuXryo1lTq/PnzsLe3h4tL/kjw7dq1UzuPqozqGNqKhai6+/XXX/HTTz/hww8/hI+PDxYuXIhNmzZV/X7tSiVEzxLVVinq5Cd2JRIJJBKJ2ranT59i0qRJWLhwIc4eP45z5/9ETuhfECfGQRwXVVlRExER6S1N41bExMToIJKKUTiBY29v/8r7du7cGUZ2juhWxwz/a2qHHnXMILl1BaKUp9oOk4iqGJ22wMnIyMDDhw8B5M/HHhsbixs3bsDKygrOzs6YOnUq1q5di8aNG6NRo0ZYs2YNatasieHDhwPInzO+V69emDlzJjZu3AilUomZM2eiT58+QhO44cOHY+XKlfjoo48wZ84cPHjwABs2bMC8efOEljIffvgh3nrrLaxbtw4DBgzA8ePHERQUhFOnTgHI7xqljViIqrNcWQq+X7caEEsgyc2FSCyC0tgEGRkZkMlksLKy0nWIZZeRClHOf0lgpZEJYGZZbPE6der81xLP2AQ5OdkISslAHxsLiGMfQdHItcJDJiIi0meLFi3C2bNnsWLFCmFdtUngKPLQvm0bmJqaIiEhAQkJCWjatOkr7z548GCMGDEC0pWfQpwQi1zvfsjqMRDKWmzVT/S602kCJywsDG+//bawrGo6NWbMGPj5+WHGjBl4/vw55s6dC5lMhrZt2+LIkSMwNzcX9tm+fTvmz5+PoUOHAgD69euHVatWCdstLS3xyy+/YM6cOejevTukUimmTZuGjz/+WCjToUMH7Ny5E0uXLsXy5ctRv3597Ny5Ex4eHkIZbcRCVJ1lR0VCHJ8/s5spAJiYIq9efmXlcfh1WLVrD5hUzWm2xUVa39gBJYxtJRKJ0K1bN/j7+wPGJkA6cCE5Mz+BE/eoosMlPfaycdGo6qryLQ2JdKBBgwZo1KgR3njjDdStWxdNmjTRdUhaIY6JhOs3H6G5vTMUDvWg6PQGcrt1e+X9zczMAADZHyyG0qrOK81eRdUP6wzVV3nqDDpN4Kim/iqOSCTCwoULsXDhwmLLqKYGK4mrqytOnjxZYplBgwZh0KBBFR4LUXWVnfpvoRXP0TjjKeopX6D2+gWQLFyJvHZddRNcOYmS1RM4yv/vPlWSbv/H3p3Hx1WXix//nHNmn+z7vjZtulB2CgUtq2wqolzEC4KIoAjKYkFAr1zvRVTwCqhYvApuXBBZFGQRfggFhEIr0AKlpUmbZrKn2ZPZMnPO+f0xySSTbmkyyUzS5/168Xrle+bMOU9S2nznOd/v85x4Ik8++SQrj13BGdvXc2RGJHklW6gOXm63m76+PjIyMmRCNs+YpklfX1/MQx0hxP5VV1ezevXqebdaXW3ZiaKH0Zob0JobCA8HCZ167gFfx8yfH/WAxIGTOcP8Nd05Q9IWMRZCzC12DD5XmI5PN+keDpNrt3B9uZOR9TgMN9bN2QTO6Aoc0zTx6ybW7P0ncMrKynjooYdwdLfjvvmSsWs1ywqcg5XFYiE1NZWBgQEg0j4yLS0twVHtXbLHB8kVY2pqKhaLTKuEELs/rDGKyxMTiJizZM4Qf8kU43TmDDLTEELERZZF5etVe9+brXrqZzGa+FK6Ix2odg2H+cK/GsnreZaKFj+LFy+ObpncE7vdjplfjGmxooRDAKj9PTDUv88aOmL+slgspKdH/uw7OztntOX0dCV7fDA3YhRCHHxGt5SPMooqEhOImNNkzhBfcyHGyUjaLlRCiDkmENsOVJ9QqFdtnLsJnNEVOPXeYQDavX7WrVvHunXr9v9mzYJRVBZ7vead8Q5RCCGEEElCbd0ZMzaKK6Z1vYGBAZ5//nkeeughAJSezmldTwgxd8kKHCFEXCgBX8xYr6pFbdyGEhpZedLXhTLQi5k297pRjdbA2T4UjByw2oBI8cXJMIor0Tzbo2O1pQGj9tD4BimEEELMEZ2dnTz22GO4XC76+/s57LDDWLVqbm6z3s1wkMGWJqyAyxJ5Vj7xQc5keb1efvSjH7Fp0yYMXcfqHeCCra+S2rod712PQmpGHAMXQswFksARQsSFEoxdgWO6UiOJi53bosfUxjr0Q46Z7dCmTe2KbKHqD+soEE3gVFZWTur9RnHseVpzA+F4BiiEEELMIZ2dnTz77LMA+P1+mpubWbVqFV6vl/b2dqqrqxMc4dSpbR5+7+nmibZ+0i0qBRnpfPbdTRx77LEHfC2Xy0VHRweGYaA11mEEfLy1wcdpealYX32W0Nn/PgPfgRAimUkCRwgRH/7YFTg4nBjlNXM/gWMYhE75DEpXB1cu6uCy7g62XvF9duzcyaGHTm4VjVFSSV8ozNpdQ7y4a5DLMt+h5pL9v08IIYSYj/z+2Ic+W7Zs4ZJLLqG7uxtVVXn88cexWq0Jim561NZGWgOR1cf9YYM+v87w8PCUrqUoCscffzyPPvooZloGSsDHK11DkQTOS08ROvPzoGrxDF8IkeQkgSOEiIuJW6ga+od4bXs7rVvb8PhCHJfl5pK5WAdHVRn+3GUxh2qAmkWLJn2JRzdu4Y/rd2KMjP+x8QNqTBOkLaQQQoiDkM/n2+1Yd3c3AIZh0NLSQkVFxSxHFR9qy07aRhI4ANgdFBYWTvl6J5xwAo8++iglyw7llB0hTsyMdPdUu9rR3nsL/bCV0w1ZCDGHSAJHCBEXf3rrXV56pxGXpuLQVNyp63ltyzbUbi8AeV4L2hzuRDUd5cuWYygqmJEUzitt3Vy2qx1r3tQndEIIIcRctWDBAq644goCgQA7d+7k1VdfjXnd4/HM2QSO0tyApihYFAibYNodFBQUTPl6VVVV3HfffZSUlGD/9Y+w/vPv0des/3hSEjhCHGQkgSOEiIuuvn48/rEnTp9ITcW0O6PjRv8wSkczBHzgcCUixIQ57IgjSE9Lpb+/HwCfbvDR62tZdu4XEhyZEEIIMfuKi4spLi4GoK6ujqysLP7617+iaRpFRUWYppngCKdOa/Pw68PLMEyTXcEwDZfcSGpq6pSvpygKJSUlAIRO+UxMAkd7fz1KR8u0YxZCzB2SwBFCxMXE/ewLKitRPvgIbHYYDtIRDBMM66ie7RgLD0lQlImhaRqrli1m0ztvc2pBBictW0xGVSV6ogMTQgghEsU00T7YQN7GDXy2v41P1WaT/YNfYbE7Eh3Z1IWGowkVVVHId1hxn3Ra3C5vVNWiV9aiNWwFQDFNrC8/BUeeGrd7CCGSmyRwhBBx4ZuQwEnLyuaLX/wiea8/R6XnQ8pdNhyaSrCx7qBL4ABcctsdWFQV8kvAYpHkjRBCiIOa9en/w/7Ybyged8zb04lZOLWW28lAbW9GMY3o2MjOB2d8Vx2HTjkH7Tdbo2Prq8+hLP94XO8hhEheksARQsTFtUtKuSxDwacb+HWTgkOWcdyiZVjdOvY/N0TPU+dYHRxlVxthVwr3/OrXlJeXU1VVRWVlJRkZGQd0HUtp1QxFKIQQQsw9lo3rdjumNjegz+UETktDzNgoKo/7PcIrTsZ8eA2KdwAAxTtA5ocbYMnSuN9LCJF8JIEjhIiLlPO+TGp/D0rAR19HG66SyKTFKFsQc57aWJeI8KbMedvVeFpbeWVTK1htGGXVpGfn8OCDDyY6NCGEEGLuCuzeiUptbkA/elUCgokPMzWD8JEfQ23ZidLRglFcEf97WG28X3Mk6/7yKBeXZeHUVHLeXot53pfifi8hRPKRBI4QIi7CHz8z+nVLXR017kjBPr28BtPmwCirRi+vwaiqTVSIBy40jNrXTf3QMBg6BP2YqkZ1dXWiIxNCCCHmLNM0Ufy7J3C0lgZCezh/rtCXHom+9MjIIDQMw8G4Xv+xxx7jmWeeoaulGbW1j0Wpdk7MScXduhPfjq1za44lhJgSSeAIIWZWWgbeXz0DqpboSA6Y0tMJwHbvyATMYgVFobKyMm73ME0TRVHidj0hhBAi2d10001sf/YtXBi4NJXvLiqgNtWB2tyw/zcnuXvvvZesrCwKCwvJz89n0aJFqKoal2v39fWxa9cusNkx3Wm80jXEiTmRB2bWf/yVYNVNcbmPECJ5SQJHCDHz5mDyBkDt6gDgtLxU8uwWtjky2VZVTU1NzbSua5ommzdv5uWXX6axsZE777xTkjhCCCEOGoFAgFA4TD/QH44U/R0K62z8cCvbHvo/PK1tZGdnc+mllyY20AM0NDTEc889Fx1bLBaeeOKJuF3/hBNO4K9//SsAZmYOb7U2ENANHJqK5a2XCH7perDa4nY/IUTykQSOEGJGmaZJX18fHo+HpqYmjj32WHJychId1qQo3ZEETpXbTpXbTujYkwle+R9Tv16bB+XV5/jqvffTuqsL05WCUVhGfX39tJNCQgghxFzhHxqKGbs0FY8vxK0ftmI88ACmw0lpaemcS+C0t7fHjAsKCuK2+gZg0aJF5ObmMjAwwFErz+DUfz2DNvIASAkNo/T3YOYUxO1+QojkIwkcIcS0hcNh3n//fRwOB06nk56enuhrt99+O+vWjXWaSE9P52Mf+1giwjxgoytwRpnZ+dO7Xm8XzmcfpiLQT2toGCUQab3+8ssvSwJHCCHEQSPg88aMXZpKtm1ktW4wAA4nra2thMNhLJa583Glra0tZlxYWBjX6yuKwq233kpBQQEOhwPtvVMIAw1dPZTULMLMyI7r/YQQyWfu/IsohEhaQ12dfO/GG0BVMVUVi83GX598CoD8/Nikh8fjSUSIU6J0xz5JM3Kml8AxSiK1c07NTeWNHi8MBwDYuHGj1MIRQghx0PjDXXdiXX0hPt3Apxtk2jQ0RSHXZqEz6MckE13XaWlpobw8/q24Z8RQPzWVlVx55ZW0t7fT1tbG4sWL436bioqK6Nf68hUAeOvqMEqr4n4vIUTykQSOEGLagh+9j9qwNTrOzsqKfl1SUhJzbnPdNrRNb6JX1UJqxqzFOBVqV2wCx8ye3rJkMy0TMzWd4wyDLKvG8nQnJ1z1NQ4/7QxJ3gghhDhoqAE/dk3Frqlkjjt+cm4K3vwCii65ktLSUgoK5s52IPvv7qL6ndeozC/FLC5n+MJ/x6hclOiwhBDzjCRwhBDT5uvvixk7bWMF9MrKyrDb7ZQND1I5tIvD3mzF2fAK/qv/E/3oE2c50gOjTNhCNd0VOAB6cSW2wX4ePqoCi6rgz01Hn0PLw4UQQohpC+zeQhzgioocjJxUfGefPcsBTZ/auhNF19Fad0LrToY/cV6iQxJCzEPxq6olhDho2fUwh6c7qU2xU+60UpCeFn2ttraWxx57jHu/cA63lKVzVn7kNa2xPlHhTo6ho/Tu4qPBAL6RDhlmHBI4o9uoLGpkxY3aMvdbpgohhBAHQvHvOYEDI/Xn/N69vp6UwmHU9uaYQ0ZxRWJiEULMa/LYVwgxbWXpKfxkWXF03HX48dGvR7svGOWxRXrVxrrZCW6KlN5ugsMhrnqvGRMoTHFScdc9fPvb357WdqeJEzpJ4AghhDjYKHtZgTNKbdmJsWDpLEUzfUpnC4oejo6NjGxwp87KvQcHB1m3bh3hcHhGau4IIZKLJHCEENM22k1plGFz7HaOUbYgZpz0CZzudnZ4hzFHxm0hMHbsmHatmtEVOKPUZkngCCGEOMjsY4WNkZWH4h3a6+vJSG3ZGTM2ima+8PLWrVv50/2/YdM7/8I3NETX4Yew9LrrMBYtn/F7CyESRxI4Qohpm/gkTd9TAqewDNNqRQmFAFD7e1D6upO25aXa1cF2bzA6Nq02qqqm3+HBKJ6QwGlvgnAILNbIfaQblRBCiHmss7OTja+/SVrnIC6LSp7NQsXRxzL8ucsiq1RdKYkO8YCprY14wzqGCalWbVa2T4XDYd55/VWUzlYcwPqXOuD4w0ESOELMa5LAEUJM34S97IbNvvs5FgtGSRVaw0fRQ2pjPXqSJnCU7g40VaHcacXjD8UtgYM7FSMjB7WvK3IfXWeofiuvbPewdu1aTjjhBM4555zp30cIIYRIQtu3b+dnb2xECWfCsM6SnBLuuPhazAmrVgYHB2lqaiIzM5PCwsIERTs5astOXugc5BcNXaRoKnn+lzktawFnnXXWjN1z6dKlpLjdjK5l8hsmvd3dpM/YHYUQyUASOEKIaVOCsVuo9rQCB8Aoq0Fr+AjDNFEVBdVTj37oitkI8YAZJVWc9rl/4xNdHYQ6W6k77ERSTzopTteujCZwXuse4vtfu4pwSqS4cygUkgSOEEKIecvv94OmYWoaAGpBSUzy5plnnuGRRx6hp6cHgAsuuICLLrooIbFOltqyk9ZAZIXxkG4w0NXHcUMzuw1MURRys7KwNKm4NBW3RUXfR3FoIcT8IAkcIcT0TdhCZdhjEzjhcJiHHnqIljfep/WdRnqGdf66ojKp6+Doh69EP3xldByHtTdRRkklfLABgMUpDswuH4wkcOrr6/F4PHG8mxBCCJE8fL7YOYPDETtnsFgs0eQNQFNT06zENWV6GLW9KZrAATDtdgoKCmb81r+45QacP70pOg5bFQIzflchRCJJAkcIMW1PvruZD7e249JUXJrCgq5ecsa9rmkazzzzDL6uTlR/ZIKzazhMjid5Ezgzafze+By7hcOyUnh73Ovvv/8+CxcunPW4hBBCiJlWWlrK6aefjt/vx+/3U1xcHPN6WVlZzDjZH2oou9pQwiEUFKyKQkjVQLPMSgLHdLhiY5EVOELMe5LAEUJM25bWTl7pHlsqfPFA7LJhRVEoKytjy+Bg9NhO3zB5HS2RThRO96zFmgwmFjI+Nd1Ge1oxJ598MqtWraKgoIC6uoMzuSWEEGJ+O/TQQzn00EOj44m/70pLS4HISpyioiIqKyuTusD/aAeq25YUYpomHRVL2Hn+VZSXz3wnKpyxCRwCe+/uJYSYHySBI4SYNt+ENuI2d+pu55SWlrJlyxaw2WE4SHsgDIDq2X7Qtbw0iiOTOtNixSgq4+SiKk746s0oqprgyIQQQojZ0+nXeaNXJTdokNnfjuVfr5Ld0sDvFmaQd9hRGBdfm+gQ92t8C3FFUchasIiUZctm5d7mhAdgsgJHiPlPEjhCiGnzB4MxY1vK7i1ATz75ZBYvXsyCN56hatvbuC2R4oVaY91Bl8DB4cJ7x4OYOQWgRf4ZTs7nikIIIUT8WV5+ip6hIHdv1Wkz7fzPRyqvL2qj8JH7AKgA9MZ0/Pu8SnJQWxtjxrPRQnyU6Zy4hUpW4Agx30kCRwgxbV+qzKU7TcOvG/h1g9zikt3OWbZsGcuWLcMa6sa+Y2P0uOqpn81QJ8fv45ZbbyU7v4DKykqqqqo45JBD0EY6ZsSDmb/7z0gIIYQ4GNieepCink5+NjKuTrmbR4fz+ea4c9TmBjBNSNKtU6PGr8ABdmuHPqMcE7dQ+ebEz0wIMXWSwBFCTNuS0z+NMtQfWbob8LE5L3+v5xrlC2LGydiJyvvsn9n8xMOgarxqtaFm5/HoS68kOiwhhBBiXlAm1GoZtDh4U8/gG053dBWJEvCh9HRiZu99TpEMwseciJlXhNqyE6WjGX1CnbuZtMPTxPttA/iDIby6ztJUJ8cOB2FCN1AhxPwhCRwhxLQNX/SNmLGxjwK8enkNetVijPIF6OU1GBXJ121px9atkS8MHYJ+KrIzsVhm/5/LZC7aKIQQQkyJaYI/dnPUoOakbkDHKK5Eq/8gelxtbkBP8gRO6FMXEW0gHg6BxTpr9962bRsPNPaAHqkrOGyYHOf3YkoCR4h5SxI4QojZlZKO/9Y1iY5inxp27IgZV1XN3tM00zTZunUrf/7zn9mxYwe//vWvsdlss3Z/IYQQYib993/eyuDGRpyailNVuWJBISHVQn1/GL2kYvcEzqHHJjDayXnwwQcBKCwspKCggJqamln53e1yuUBVQY+MfboR2UZF9ozfWwiRGJLAEUKICT6Z62TpsmK2e4PUe4MsP/romb9p0A8WK9+64Ua2bduG3+/H6XTS29tLfn5yP30UQgghJmtHfT09Q2PNDz6v2gEYDJn05VWQN3J8Q6+PD596mu2bm/B4PNx4442UlZUlIOL9e/rppxkaGoqOf/vb35Kbmzvj940kcMbq83l1A8XvxZzxOwshEkUSOEKIWWOaJj09PTQ1RSZj6enprFq1KtFh7Sa1v5tD050cmu4EwHvG2TMyGbK+8Bja5ndQWxpQd7Xh+94aAoFAzDl+/1zowSGEEEJMTsAX2+o6ZBtrhb0jrTSawHm0tZe3t69Hb+kHoLGxMSkTOENDQzHJG6vVSk5Ozqzcu6ioiH9bVk3qrlZcmkqRw4oSkHmDEPOZJHCEENMSDocZGBjA6XTicDj2WbNl/fr1/Pd//3d0vHz58uRL4Pi9KL6xiZhpsWKmZc7IrbSP3sOy8Y3oWG1pwO12x5wzflIohBBCzGWmaeL3xhYwDtvHfu+95y5hdMNUhdPG2/0DgAkoeDyeWYvzQHR0dMSM8/PzZ61+XVFREV/65vV0b99GdmkZOFzohcmX5BJCxI8kcIQQ09La0sLXr7oKAEVRqKqq4uqrr97juSUlsa2zk3EypnbFTsTM7LzI/vIZYBRXwr9eHbt3cwNHHHEEhYWFeL1eysvLyc6WfexCCCHmj3tvuh7jF9/Hpxv4dAO/dawV9qZhN0Z6Jmp/L+UuG5gmyvAwps1OU1NTAqPeA8NAbW0kOz2Nq6++mra2Ntra2mZt9c2o8PGfoDOvkvSamlm9rxAiMSSBI4SYluF316Ft3RhJcqgqltDeV4wUFBRgsVgIhyPdEvq7u/C9tZb0XS2EV56GmZW31/fOFqW7PWZszGD3C70ktjiy2rKTL9wQSYbV1dVRI5MxIYQQ84iiKJRlpOFMHeuS9IzFGf26rj+MUVyJ2t/LklQH5xamU3D2aZScclbSbZ9SujtwfedSnKrKZ/NL0GuWEbzllkSHJYSY5ySBI4SYlsDgQOQLwwDDwKnt/VxN06ipqUHXdSqatlLV04bznv/AbtUwc4sIr0h8Ame3FTg5BTN2L6O4IvbezQ0zdi8hhBAiGSj+2C1UA+MTOANhjJJK+PAdKt12rq7KJViWR2jZstkOc7/UlsjvbMUwUNo8mKnpCY5ICHEwkASOEGJajICPDIuG3zAIGiYup3Of5995550A2B7+Jba//zl6XG2sgxUnzWisk/HGm2+SN+Cnym3HqakzugLHzC/B1CwoemRFktrXBd5BcKfO2D2FEEKIhArEFjEe1MbmDU1DOoHyCsY34NZaGgjNUmgHQm1pjBkbRRWJCUQIcVCRBI4QYlqOLC7g8RWRrUC6aeI75XTqJ/E+o2xBzFj11M1AdAfGNE3+56kX8PfsQgGKHVbuvDAV137fOUUWC0ZhKdq4lTdqSwPGwuUzdUchhBAioZSJCRxL7IOfnelljP8tmKyrU9XWnTFjo7g8MYGMEw6H0TRt1oooCyFmnyRwhBDTMr5dpaYo2FPTJvU+ozy2vovqmUzaZ2Z1dHTg90WWdptAX0jHXVo5Iy3ERxnFlbEJnGZJ4AghhJi/FP/EFTiOmPEHruJoAsfIyccoKAXThCRLSuy2AmfCtujZ8r3vfIf3330HxTQJBQP88rbvU7oyyTp8CiHiRhI4QojpmfAkzXTsewvVKKOwFNNqQwkNA6D296L0dWNmJK7r0o4dO2AkHoBqtw1msAYOSB0cIYQQB4/e3l66djSQ7g3i1FTSLRoDWuy84cOADd9/3hdJ3Djde7lSghkGautOgrqB3zBIt2gJ20LlbdyOse19AFQg9MzDIAkcIeYtSeAIIaZl/AocmHwCB82CUVqNtmNL9JDaWIeewAROmtPBiZkOtg8FaQ6EqEpxYGbmzug9jQmdqLZufJf7PriR9vZ2LBYLS5YsYfXq1TMagxBCCDEbNmzYwM//35sMDSm0Dw1TXb4Ab0ZtzDl1/WGMw2OPDQ4O0tjYSHd3N6tWJT45ofR0ogQDbOz3c8uWNlw2K7m3/hcrVqzgwgsvnNVYXKmxdfN8Q3vvBiqEmPskgSOEmJ4JK3BwTL5ijFG2AKP+Q0xMbKoaSeAcemycA5y8ZQtrOPLyL6N0tTPc3sKwaYJlZv+ZnJjACbc18eFgN36/H6fTSV5e4jtzCSGEEPHg9/sx7U68hp22UIi23MMhNfb3YF1/OPp1MBjksssuo6+vDwCLxcLxxx+PZYZ/N+/P6Pap1kCkvLJPs7Fjxw48xpkzAAAgAElEQVSqq6tnPRanOyX6tQIEfb69nyyEmPMkgSOEmJaJxQjNSSRwXn75ZV5//XWaN7xB++bt3FiTxyfy0tAa6xLbacKdSvCyG6NDizmT1W8izNzCmK1k7qAPJTzWf8MnEzEhhBDzxOjvtPDo71ebfbdz6gfCGKaJqijY7XZUVY2+Fg6HaW1tpaysbFbi3ZvRAsajCRzTFqnjU1hYOOuxXPnlS/lWywbcmopdVTCz3MjMQYj5SxI4Qohp+cfW7exq6sGlqTg1laW+AOynC3ZjYyNvvvkmij+ACnh8kQmQ2pj4QsYxZqNgohrZN681bgPAbVFhOACKBkgCRwghxPyRlZVFbW0tA839YAyCc/fGB76wSYtXpzQl8jGlrKyMnp6e6OsejyfxCZyWnQAYJthVhYA9ksApKJjZunl7klVYhNs29pHO9HtnPQYhxOyRBI4QYlperG/kHc/YxOp73b2k5e97YjU68TJHJjyN/pFCxrtawTcErpS9vnc+MorHEjh5dgt3XPAZWqsPYenSpbhcM9bEXAghhJhVp59+Oqeffjrf29DPex/svVZLfX84JoHzwfvvU1JSQll5ORkZGbMV7l6NrsD5RnUuV1fl0PrV/6A5o5Di4uJZj8V0xs4TJnb5EkLML5LAEUJMSyAQjBk70tL3+57S0tLIF6oKNgfesB59TfVsx6g9NK4xJjujpBLTasUoLEcpqWTZscdhcWYl5EmeEEIIMdMGho2YsapEVrOM2tYf5rSGv6N9+C6XN9TxzRwfw9d9HWPB0lmOdA9MM6aFuKIoZNQuJz07QTXr7E5MFBQiP0BlOAB6GDT5mCfEfCR/s4UQ0+ILDseMnemZ6Hs5d1RZWRnXX389paWlVP/9QdL+9Ur0Nc1Tl5AEjmmaKLOxZWoPQqd9ltAZ/xY72aqrS0gsQgghxEzSNr1JqWeYIwZVBjQn25151GbY+LBvrHhxXX8YbeObWDesxTpyLNzckBQJHKV3V0z9P9Phwsya2Y6V+w5IwbA70ILjuoIG/ODez352IcScJAkcIcS0fLoglV0pFny6gU83yMjPp9sX2Od77HY7J598MgDWusUwLoGjNiYmcXH99dcTCvipqllIVVUVp5xyCqmpszT52UMRRyGEEGLeMU0cd93CrabBrSOH7B//A0fm7p7AMUoqYcPa6DG1uWF2Y92L0fo3o4zi8tmpmbcPui02gaP4vZiSwBFiXpIEjhBi6kyTTx57DAS8KAEfSsCPt7CI7u07Jn0Jo7wmZqx6Zr+QcTgcpmHHDszNb9P0D5VXrDbO2voZuPHHoGqzHo8QQggxLw0HUMyx7VM+1YauahyZa+OPdWOrWur6QxjVse3F1ebJzy1mkpFTwPBnLkFt2YnS0ohRuiCh8QwODrKt30+4exCfbpBqUTnG72Pm+2gKIRJBEjhCiKlTFPz/8YtpXUIvryG06pPo5TUY5QswSqviFNzkeTwe9IAfFcAwyDPDZDTX45PkjRBCCBE3EwvsDmhOAJZnWbEoEB7JOrT6DAYLKnCOOzdZVuCYhWUMn3vpuAOJTZU0NTXxn2/Xow5HVj8vTXVwTEAKGQsxX0kCRwiRWClpBL+8OqEhNDU1QWislk+1246Zk5+weLq6umhsbMTn8+H1eqmtrSUrKyth8QghhBDx8PNfrkGr68Cpqbg0laMX5ACQ5VCpTLNQ1z+2jWqbLZdcqw1l5PezOtiHMtCLmZaZkNgneuqpp+jr66OwsJCCggKqq6sT0jnS5XJhqmp0PBTWUaSVuBDzliRwhBAHvVWrVnHMzdfR/IsfsMM3TJ7dgpmduATOfb/4OWtffhlHahoAt9xyCytXrkxYPEIIIUQ8vPL66wx3DkbHCxc5AEizKiyYmMAZNDmuqAKtcRttgRAvdg5S/1/fZ6c/RHV1Nddff/2sxz/e2rVr2bZtW3R8++23s3z58lmPY2ICx6eb0kpciHlMEjhCiITp6uqiqakJj8dDU1MTV155JZqWmG1Lab5+Ds9wcXhG5OnZcM7stvBWOlqwP/QL1OYGMt7YhLM/hDmSwPF65UmaEEKIuc00TQL+ke3KI0K2FABSbSoL0y081zT22raRQsZa4za6hsP8rqkHc3gdRmYCOz6N09raGjMuLCxMSBwpKSkcXlJIVncbKRaVTKsGsgJHiHlLEjhCiIS59tpr6evri47PPfdciouLExKL2t0RMzZnOYGD3YFl4zoA3JqKGgpG27H7fPIkTQghxNzm9/vB0KNju6owZHVhV02sqkJNRuzHkvrRTlRAhdMWORiI1HlpaWlB1/WEPfQZGhpiaGgoOrZYLOTk5CQkFpfLxXVf+iJFve2YThc4XIRLqxMSixBi5kkCRwgxZVu3buX73/8+LpcLp9PJokWL+MY3vjHp95eVlcUkcDweT8ISOEpXbALHmOUtVGZ6FqY7DcU7QKHDygKXFVt1Ja6cPHJzk+NpoxBCCDFVVquVb59/LuEn/0hANzEwGdQcpIzkYGrSYj+WbOsPYVRGEjipVo0sq0bPSKvscDhMe3v7rM8ZlPYmlOFhtPRsrrnmGtra2mhtbcUwDJQEthLvOfxjZNfU7P9EIcScJwkcIcSU+d9Zh++9DfhUDVNVyerthANI4JSUlPDee+9FBnqYlnWvYu3ZidpYx/B5X8HMK5qhyHe3+wqcWa6BoyiRpeIfbeK84gzOK87Af8kF6EccP7txCCGEEDPAarVy4qIqHAXp0WP3WZy4LZEuTjXpsR9Ltg+ECRVXRjtRXVSaiWZ3kPejH1NaVkZqaupshR5le+7PWNf+Daeick5eEcHzr0C/+OJZj0MIcfCSBI4QYsr83bsgGFnOrADu4QPbc11TU8OiRYsoKyuj6p2XOer1v2LfZAdAP+J4wrOVwDFNlO7ErsABMIor0D7aFB2rLQ2SwBFCCDFvTOyONKQ5SNEiCZwsh0aOQ6UrYAAQ1MFjy2Spy43i83JOYQYA3vxszAQkbwDU1p0AKKaB0tEMFvkoJYSYXfKvjhBiygJDgzFjh/PA2meedtppnHbaaQDY/mTD9twj0ddUTz0ce8r0g9yP5557DryDLO0eoMptw6GpmE43uGd/cqiXVGIdN1abG2Y9BiGEEGKmKAF/zHhAc+IeV8amJt1CV2A4Oq4b0FlcXIlW90H0mNrcgD7bdeoATBO1ZWfMIaO4cvbjEEIc1CSBI4SYslNryvnY0RX4dAOfbmJZddyUr2WUx+7dVhvrpxvepDz++ON0NOxAbWxGAf73sFLKS6pm5d4TTZwISgJHCCHEvDJhBc6gxUnKyBYqiCRw1nWMJXCinajGJ3BaGtAPm/p8Y6qU/h4U79iDK9Nmx0zAal0hxMFNEjhCiCmzhIZx2SxkjoyDBYWEpngtfbcETh2YJsxgUUCv10t7eztKeGyyWOywzn79mxFGSUXMWG3zQDgsS7SFEELMC0ogtqvigOaMFjGG3evg1PeHog83jJwCjJJKzJzEtOtWWxtjxkZhOajqXs6eXS+88AK/+93v8Hu9eAcHufyif+eok2Z+FbMQYvbJpwIhxJRNXAptOg5sC1XMewtKMG12lOEgAOpgH0pvF2bWzHVgamiIrHBRQpEETpnTil1TGU7UE7WUdMzUdJTB/khcehilvwczOy8x8QghhBBxEgwGMfr7sZhmtGPTwLgixrB7Amdbf5jQiWcQOuEMOMBt2vE2un3KME36QjopRWVTvpY57mcQD7vqP+KDp/8KZqR+kDfYBpLAEWJekgSOEGLqJjxJw+Hc83mToWoYpVVo27eMHfLUoc9gAicnJ4eLL76Yxr88xM6BXSxwRwoom4nYWz/CTEnH19vDbxq78YYN+n/4Q9TMHL7zne8kLCYhhBBiup5++ml+99Q/GRj0EtThuKoF7HDkcfS4FTgL060x76nrD++WuOnv76epqYnGxkZqa2uprq6ejfCjK3BaAiG+9I4HW8uz5H/QzqJFi/jGJDtwPt3o51vr+rCqCnevzODUEkdcYrM7XdHkDYDXd2BNJYQQc0dyrPvbC13Xue2221i+fDn5+fksX76c2267jXA4HD3HNE1++MMfUltbS0FBAWeffTZbtmyJuU5fXx9XXHEFZWVllJWVccUVV9DX1xdzzubNmznrrLMoKChg8eLF/PjHP8Y0zZhznnzySVasWEFeXh4rVqzgb3/7W8zrk4lFiPlk4lJoc5pPx/xFlXQFx/5+z3QdnIKCAs4//3xuuewS7r/4c3z740dhWq0YiUzguFIAeKp9gH90DbH+3Y1s3LgxYfEIIYQQ8eDz+TDTMtiVms9WWw6/LTyRTakVuLWx+XZZioZt3KeTTr9BX3AsMfH73/+eCy+8kJtuuok1a9awfv36WYt/dAVOqz+yWTygauzcuZOWlpZJvb87oHP5K710+A2avToXvtTN27uG9//GSbCnxDZe8Pv8ezlTCDHXJfUKnLvvvpvf/OY3rFmzhiVLlrB582auvPJKbDYbN954IwD33HMP9957L/feey81NTXccccdnHvuuWzYsIHUkRaDX/nKV2hububRRx9FURS++c1v8tWvfpVHHol0vBkYGODcc89l5cqVvPTSS9TV1XHVVVfhcrmiGfX169fz5S9/mZtvvplPfepT/O1vf+NLX/oSzz//PEcdddSkYxFiPpmYwMF+4CtwWlpauP/++2lqaqJjywcs8+7iZ8tLANA89VOuqXMgQqeeS+jUcyMD0wRDn4W77pnpSsGpjZu96jp+vx/DMFCTZK+9EEIIcaD8/khSQR/N19gic4bxRYwtqkJVmoWtfWMPc+oHwhyVawMgLy92S7HH45nBiGONthBvDYzMTGyR1TOFhZOryfNQnQ+/Pva9BnW48B/dvPSpPIrGt+KagmOOP56z3nwSl6bitqhk2q0zXkdQCJEYSf1pYP369ZxxxhmceeaZlJeXc9ZZZ3HmmWfy9ttvA5EVL2vWrOHaa6/lnHPOYcmSJaxZs4ahoSEee+wxAD766CNefPFF7r77blasWMExxxzDXXfdxfPPP09dXR0Ajz76KH6/P5ooOuecc7jmmmv45S9/GV2Fs2bNGj72sY+xevVqFi1axOrVqznhhBNYs2bNpGMRYr55t7GV17uHeLfPx9bBAH7lwCcgVquV9evX09bWhulw0ugbjv69Uxvr4h3y/ikKaInLbZuuFFRFwTWaxNEjySSfz7ePdwkhhBDJTVEU7HY74dEV7tbItuWJuYvd6uD0jT3KKSuLrTvT1NQU/0D3wOIdjNanGzZMXBYN0xaJfzIJHMM0eeCj3bc1tfsNLnypG3/Y3MO7Ji+/qJgj89JZkuag3GUjTVNgpKagEGJ+SeoEzrHHHss///lPtm3bBsDWrVt57bXXOO200wBobGyko6ODk08+Ofoep9PJypUreeutt4BIEiglJYUVK1bEXNftdsecc9xxx+F0jq0eOOWUU2hra6OxMbLfdcOGDTH3GT1n9BqTiUWI+eaB97bxva3trN7cylXvNdPQ1XPA18jNzcVuH6k9Y3cwpBv0hiJJC3VXG4xr2XlQGNlC9fXKHL5dk8f3zv80P/jBD3A44rNPXgghhEiEyy+/nMcff5xl3/kjfOWXsGglELsCB2DhhAROXf/YapyysjKsFguVxUWsWrWKk046aeYDBxxdrdGvP1+SyV/OO5UHH3yQn/zkJ5x44on7ff/a1iANg3te3ftuV4ir/9m7W+mGA2U63DHj3VZJCyHmhaTeQnXttdcyNDTEihUr0DSNcDjM6tWr+cpXvgJAR0cHEPkAOF5ubi5tbW0AdHZ2kp2dHVPpXVEUcnJy6OzsjJ5TVFS02zVGX6uoqKCjo2OP9xm9xmRiEWK+8Qdj9247MzIO+BqKolBaWkp9fT0oKvkZ6fSGdLJskX+eNE89+uLD4xLvXGDkFqCXVPKxUg1Hdi6h449HP/TQRIclhBBCxMVgGLCP1cybuAJnwR4KGSt93dge+RXOlgb+nj2EkpmK74YbZiHaCMeu1pixWVJJRkYGGZOc99y/NXb1jU2F4bHSPjze4GdxppXVh06j5ILTBYPjanz6fZCeNfXrCSGSUlIncJ544gn+9Kc/8Zvf/Iba2lref/99brrpJsrKyrj44ouj501swzexNd+e2vTt75zRLPj+zpl4bDLnjDe6jSveZuq68ZTsMUp8++cLxi7P7egbIDgS14HEd8YZZ2C1WsnPz2fhcw+S9cGb0de6317HLktKfAIep7+/ny1btmCxJNk/gwuPjvw3XhL8We9JMvw/uD/JHqPEN31zIcaampq4XEfmDMlL4psEw8DW343em4HVcBNSI79/UyxmTHzOQRUYW3W6eZeP+uY+Dn3jhegxs72Z+i0fYlpikz0zpaQr9mHsLnsKHZP8mXYEFZ7zOICxzwN31Aa4Z6eNBt/YZojb3hkgzbeLk3KmVocvoFoY30qiadtW/IPJU8w4Kf4f3I9kj1Him765EOP+5gxJ9skl1ve+9z2uvvpqPve5zwGwdOlSmpqauOuuu7j44ovJz88HIqtkSkpKou/r6uqKroTJy8ujq6srJpFimibd3d0x54yupBl/DRhbUZOfn7/Hc8a/vr9Y9iRek7rx6urqZuS68ZTsMUp8k2AYHJPuoNtpwa8b+HWTJYcdjjst/YDjG3+utfkIGJfAyff2kTED3+tVV11FS0sLZSUlVFZVcf7nP09xcXHc7zNVSfFnvA/JHh8kf4wS3/TNhRjjSeYMyUnimxylZxfu27/K2yPjRns21cf9DLcW+/923rABm8YSJs1BlfIlyzByClC72iPXMk0WuqwY5bPzfZl/jF2Bk3nIkaRN8mf66LsDGIxtB1+SYeGSY6o4cYnOSX/rpDc4tnXq+/UOjluUyyFZB5aYqqurw56RCe1jRZ3Lc7PRk+DPHZLn/8F9SfYYJb7pmwsxTkZS18Dx+XxoWuy6Sk3TMIzImsPy8nLy8/N5+eWXo68HAgHWrVsXrXlzzDHHMDQ0FNNmcP369Xi93phz1q1bRyAQiJ7z8ssvU1hYSHl5OQBHH310zH1Gzxm9xmRiEWJeCQW5flk5ty8p4q5DSlhzzALcaenTvuz4yZipKCi+oWlfcyLTNGlubiYcDrNz/eusve9u7D+6DsdPb0LbJDWrhBBCiLibUJMlqEaSFClabO2XdJtKvnPsI0rIgMZBHaOkMuY8tblhhgLdXedxpxM891JCK05CL6naLZa9CRkmf5hQvPjLtW4URaEi1cLvT8rGMm6hvjds8oUXu9nlP7BVOIZh0KFDgzfI5gE/7/b5wL970WQhxNyX1CtwzjjjDO6++27Ky8upra3lvffe49577+WCCy4AItuVrrzySv7nf/6HmpoaFixYwE9+8hPcbjfnnXceAIsWLeLUU0/luuuu45577sE0Ta677jpOP/30aAbuvPPO48c//jFf//rXWb16NfX19dx9993ceOON0VU7X/va1zjrrLP46U9/yic/+UmefvppXnvtNf7+979POhYh5hW7E++vngPDgGAAJRifZbp6eQ3Bi76JXl6DUVod2dMdZ729vQwNDUUKl4eGsWNS1t+BuqmT8IqT938BIYQQQhwQxR+bwBnUHCiAaw8NLGvSLXT4x+rsbesPsbi4Ejauix6bzQTOwIJDCE3hyf2zngDt/rFiN26LwvnVY/OajxfauePYDK5fN1a7ptmrc/HLPfz19Bzs2uTagPv9fi564iWUgd7IfTSVP/uliLEQ81FSJ3DuuOMOfvCDH/Ctb32Lrq4u8vPzueSSS7jxxhuj51xzzTX4/X5uuOEG+vr6OPLII3niiSdITR0rAvbrX/+ab3/723z2s58F4Mwzz+SOO+6Ivp6ens5f/vIXVq9ezUknnURGRgZXXXUVV199dfScFStW8MADD3Dbbbfxwx/+kMrKSh544AGOOuqoA4pFiHlHVcHpwoxXosWVQui0z8bnWnvR3d1NZmYmgUAAJRSiymVDHUnWGtn5M3rvAxEOhxkaGsLv9+N0OiddLFEIIYRINo88+SSpLX04NQWXpkK6g1Sbwp5KRS5Mt/LP9rEETl1/GKO0KuYctSWSwAmHw2iats+ak/Hyyiuv0NDQQEFBAQUFBVRVVZGWlrbX8x+YULz4/GonabbYDRBfrnWzpTfEr8edu65jmG+t6+Pnx2dM6vtyOByR+dgIn25gygocIealpE7gpKam8qMf/Ygf/ehHez1HURRuvvlmbr755r2ek5mZyf/+7//u815Lly7lueee2+c555xzDuecc860YhFCJF5NTQ0//OEPyc/Pp+1r58a0KjdzkiOB89xzz/HCC2MFG88///yY4u1CCCHEXBEOh/nDk8+gtkRqTKrANxY5SbPuuZrDgj20EjfKxrYtPd7axwee/0d9XT+tra3ce++9MTUoZ8pbb73Fq6++Gh1/85vf5BOf+MQez63vD/FKW2yzhy/X7rkpw+0r0vmoP8yr485/sM7HkkwrX1+6/0YOmqZhs9kJjYxNINDfx+yUeBZCzKakTuAIIQ4efX19bN++naamJpqamjjmmGNmvH5Umt1GkVWHjMjqIVNVMTNzZvSe++UbwnnXzVS9sxmtvgEUBb16CT6fLIUWQggxN/l8PjDG6rq4NJVBi4s0655XlyzcUwKnsBRTVVEMgzd6vGzs96M7d4Kq4fF4ZiWB097eHjMuKCjY67m//Sj29/Yxuba9Fie2qgq/PymLk//WScPg2M/puxv6WZhu4dQSxx7fN15pXg764C5cmorLomLMQA1BIUTiSQJHCJEUnnnmGR5++OHo2Ol0zngCR+nuiBmbmbmgJfifRYsVbdv7ZHgHIByKHpYEjhBCiLnK7/ejGGO1YCIJHMdu24lG1UxI4GzrD4PVhllQitLaSIXTxsZ+P0owgOl04/F4WLly5Yx+DwCtrbHdqAoLC/d4nj9s8n91sVuYLq117/PamXaVP52azWlP72IgFCnsbJjw5bU9vPjJXBZm7Hs9zc9XX4P1+T+Dw43pdBEuX0B4f9+QEGLOkQSOEGJKNm/ezIMPPojL5cLhcFBbW8unPvWpKV+vrKwsZuzxePZyZvyoExM4yVD/xmbHtNpwW1RUwG1Rsefk4Hbve+InhBBCJCu73c7njz2C0PpBfLqBW1MZ1Jyk7mUFTmmKhkODwMhilJ6gQXdAx15cidraSIXLFnkhGACnm66urhmLXduwFmdAxywr5fLLL6etrY22tjY6OzvJzs7e43v+0uCjb3isu1amXeHcCud+77Uow8r9J2bx+Re7MUbePhAyueDFbv7xqTwy7XtvIBw+4XTCJ5x+YN+cEGLOkQSOEGJKetb/k83PPx0pmqeqmCtXTiuBU1paGjNu/vADrM89gtpYh9pYT+Cb/4VZWLaXd0+N0hWbwDGSpP6N6UrhhKwgL6ysRlEUvD+9EzMrN9FhCSGEEFOSkZHBpSsOw9b1YfTYf1h2L+g7SlUUqtMsbO4dW0NS1x+moKQSNqzliAwn11XnUnLqKRRceRMpKfuvEzMl3kGcv/hPagHzfpVPFpbh/8EDMQWD9+SBCa3DL1zgxmGZXJHl00oc/NdRaXx3w0D02I5BnUvX9vDYadlY1Jkv1iyESF6SwBFCTEmwtSnarhLA3Te9p1/FxcUsXryY0tJSSktLqV77F+x/WhN9XdtZRzjOCZykXIED4EpB6e+JDhXfkCRwhBBCzG2B3duI720FDkQ6UY1P4GzrD3N8SaSQcbHTRrHTRlj3Epip5A2gtuyMfq2YBijsN3mzqXuYf+0KxRy7dNGBraK9amkKH/aGeah+7Ge2tjXILev7ueNY6UgpxMFMEjhCiCnxDQ3GjJ3u6bURt1qt3HnnndGxbbgDnh3bRqV66uC4U6Z1D4AnnniCtrY2HA4HlpbNLNQN7FpkMmbk7L0Y4WwyXRMmo1KIUAghxByn+GMTOAOak4y9rMCB3TtR1e+plXhzQ/wC3AO1tTFmbBRV7Pc9E1uHn1Rkpzr9wD5yKYrCXSsz2D4Q5q3OsXbq/7vFy5JMK186wISQEGL+kASOEGJKVlUWs2hpET7dwK8b5B96SFyvb5TVxIzVxrq4XPf111/no48+wu/381RnM7dXpLEiKzIRMpM0gaNIAkcIIcQcp0xcgWNxUrrPFTi7FzI2jyzEtNpQQpGkhjrYhzLQi5mWGf+AiV2BA2AWl+/z/P5hg0d3+GOOfXk/xYv3xq4p/PHkLE7+2y6avWOdqVav62NBuoUTCuxTuq4QYm6TBI4QYkrybBrFGWOrbgLV1XHtdqCXL4gZa411YJqgTH3vt2EY7NixY+xAaJhq99gEKJlq4IwnCRwhhBBz3m5bqPZeAwd270RV1x8CVcMorkDxDmIUV2KUVEbmBjNk4gocvbhyn+f/ebsPX3gsniKXypml+28Bvjd5To2HTsnijGe7otcNm3DxSz289KlcKlLHfkabNm1iw4YN+Hw+vF4vxx13HCeeeOKU7y2ESE6SwBFCTE0g9gkTjv13VzgQZkEJps2BMhwAQBkaQOnZhZmdN+VrBgIBVq1axYsvvgimSToG2TZt7J5ZU792XEkCRwghxDyj+GO3Fu2vBs7ELVQ7B3WGdRP+45dgmZ2PMGrL2BatnuEw9n3U4jNNc7ftUxcvdE+76PDybBv3fSyTi18eq43XEzT4wovdPH92bjQJVr91C3+7+w4wDDB0Stb+BU5cP617CyGSjyRwhBBTMnEvuxnnBA6qhlFWjVa/eeyQpx59Ggkcl8vFNddcQ0VFBffefReHpDlQRlb0GOmZYEuO5cijK3Be6BygZ1in/9kXGKhr54tf/OLMddoQQgghZsjDDz/Mi69twe/1YzHh9JI8uq2pkeTD8J7fk2JVKXZptPgi24d0ExoGwyzKsAKRhEl/fz+NjY14PB68Xi8XXHBB/IL2DaH2Rho0hAyT8//ViPrN68kvKKSoqIjvfpi/dI4AACAASURBVPe70TkEwLqOYbb0ja1F1pRIAicePl3h5JbDU7n93bH6g1v6wlz+ai8PnZwFgDMlNWaVk39oCPQwaPJxT4j5RP5GCyGmZsJSaBzTK2I8UTAYpMmRSY1hRp9eaZvfRj985bSuqygKn/nMZ9B6d3Fk/b8wdD9KdwdmdnLUvwEw3ZEkzR88PbQFw5iDb2Fsa+LTn/60JHCEEELMOb29vXQ403jP72Rg2OCpsvPBVbDPBA5ATYYlmsCBSB2c0QTO4OAgF110UfQ1q9XK+eefj7qfLlGTZV37dPTr9mAI02pjOBSmqakJv98fk7yB3VuHn1XmoMitES83HJrK1r4wTzSMrYB+vinAf78zwIXp4E5JiXTIMgwAhsJGZLW0OzVuMQghEk8SOEKIKZlYjNCMUwLnnnvu4b333qOzsxN6u7i/AKpG6tTY/t/j6IsOQT/6xGnfp/aEEym69HJ8ENk/H/Tv7y2zZnQFTopFg2AY9Mjk1efz7ettQgghRFLy+yO/Y3Vj5IAtUhcmbR9bqABq0iysbQ1Gx/X9Yytc0tLSSE9Pp7+/H4BQKERbWxvFxcXTjlfp2YXtyd9Hx63+EKY7LTouKIh96LPLr/Pkzth5xGVTLF6815gUhV+ckMGOgTAbu8falN/9/hCZCzU+V13NFYvLcQeGcGsqhQ4rSsCHKQkcIeaV+KSohRAHnZbuHtoCIfpCYYYNA8M+9SJ94/X09NDR0YFpmpipGTSasXlmx69uR92+JS73ilKUuK8gmpaRBI5rpL05RiSB4/V69/YOIYQQImmNJnDCowWHrZFt1/sqYgy7FzLe1h/bLqG8PLYrlMfjmU6YUbY//wplXK2/Ac2Gs3yshXlhYWHM+Q/W+QgZY+OqVI2PF8Z/W7bLovJ/p2ST74z9uf2gzkabLY9/W1LFJwvSOSk3ldpUx251h4QQc5+swBFCTMl33viA1oGx4rr39vZTUjL965aWlvL2229HBppG/bFncuKWf6CMrEJRQsM47rkF//fW7LPtt2maPPjggxx//PFUVVXt9bxkNLoCZ1WOm4UpdhzlVVjPu4yioqIERyaEEEIcuGuvvZahoSGOeWQnwSE/ZEYSIKlWhb59vG9hxh46UY1TU12Fd1cHZRUVlC2spbS0dNqxqls3YV33Ysyx2s9fwiNfuILBwUHa2tpwOMYeWumGyW8nbJ+6tNaNOo2umftS7Nb4v1OyOfu5XQRHdpcNmwrXvtHLOxMfRvll5a4Q840kcIQQU+IPxm5ad2ZkxuW6o5MvRVEoKCjAWrmQ4DGH4njgzug5an8vjrtuwf/dn4Nzz0uUn3zySR555BGefPJJbrjhBlasWBGX+GbDaALn05VFmK4U9JplBM85J8FRCSGEEFOTkpKC2+3Gl67D2E4k0mzqPhM4C9ImJnDCmKaJ9bXnsP6/x7m61YMSDhE87BRCZ//b9APVw9gf/FnsobJquo5YRSaQmppKamrslqR/tATxDI3V6bFrcOGCmV3Ve1SujZ8dn8lXX+2NHtvcGyZgczF+ViQrcISYfySBI4Q4cKaJLxT7FCxeCZwVK1awcOFCioqKsNsjy4/DwHBHM7ZnHo6ep/T3oO5qxyir3u0a69ev5/777wcircNvu+02rrrqKs4444y4xDjTjMpFvHvLfdQsqk10KEIIIURc+HWTsDk2tqlg1/a9SqXIreG2KHhH3tg/bLIrYFAcDKB5tkfPU5sb9naJA6J99B5q846YY8EvXgPK3rd63T9h9c25FU6yHPErXrw3n6928dNNg3w0blvZ7gkcWYEjxHwjNXCEEAfMDPopcljJs1lItahYVDXSvjIOMjIyqKysjCZvRg2fdznhoz4OgF5Ugf/WNXtM3gBs3boV0xybJTqdTpYsWTLuGzAj/yUrVYv8J4QQQswD6o6t5Hz9bDxvXMUHb63mgS337bf+DYCqKCzYQx0co6Qy9rw4JXD0JUfgv3UNevViAEIrT8NYuHyv53uGwrzQFIg5dlnt7HWLzHLE/gz9NmfsCRM7hgoh5jxZgSOEOGBqwM9vDi+LjvWUdPwztNd77KYqgStuwZadz/A5F++zLebFF19MTk4O9913H6ZpctNNN1FWNhav0t/D8juuRskpwMjJxyiuZPgLX5/Z+IUQQoiDlOIfQg36KcJPEX202TNJ3U8HqlE16RY2jeu6VN8f5oTiCQmctkbQw6BN/6ONUVmL/7v3Yvnn8+jLj9nnuX/4yMf4x0GHZFk5Ktc67RgmK31CEsxrcWKaJn7dxKcbuL1De3mnEGKukgSOEOKAmanpeH/ycGRpbtAfbXM94+wOhv/9qkmdetZZZ1FUVER7eztHHHFEzGtKVztaaBjaPKhtHvS+npmIVgghhBAA/tgW2wOac1IrcGBPnahCsCgDIz0TtT9SA0YJhVA6WzELy/Z0iQOnqoQ/fuY+TxnWTf5QF7t96rJaN8pMP9AaJ8MWe69vPfoUAc/2aFLpj2d3jS85JISYBySBI4Q4cJoFM7eQJN6EBMBhhx22x+Nqd0fM2MzOn41wps00zVmdGAohhBDTFQ6Heetf/yKjz4dLU3FrKgP5zkmvwFk4IYFT1xep+WIUV0YTOABq8w4COYX4/X7S0uKXtti0aRPPPvssy5cvp6ioiPLycrKysnjG46fTP9Y7PNWqcF6Vcx9Xir9M+/9n787j46rrxf+/zjmzZ7Kv3dd0BdrSLW1BWaqAXMQiIKKgIGvZxCvyRb1X5SpewR+CAr3sXhS4gqCAiKzKTltElu4L3Zs0aZM0yexzzvn9Mc3MnEnSZJKZzCR9Px8PHpcz58zMJ+Nl8sn7vBdrECyiaJa9WaDtoARwhBhmJIAjhBgWlIPNOB+5g9DXr8UsrTj8tfutARyjsudx5Lm0bt067rzzTvx+P36/n5kzZ3LzzTfnellCCCFEn7W1tfGz3/0BZd9eAEpsGidPdvU5A2dysbUkaXPboQDO6Imw7gM2tAd5fHcL23/0U3bZPBx//PHccMMNGVv/Rx99xCuvvMLbb78NwLnnnsuFF17Igxus2TfnTfLgtQ9ue9GSlACOktIDJ9B2cDCXI4QYBBLAEULknVAoxMcff8yuXbvYtWsXANddd123177zzjtURvzMevZ+1P37UJoaCPzgTnD2fBdM3d9gOc7HDJyqd1+k8dPN1L/3JoqhY1SPJpCSgi6EEELku0AgAEai1NqtKbTb3BT1MQNnUpGGAvHMkh3tOsGoie1QI+OwYfJWsw8zUo8xagI7d+7s++J87bge/iWhZRdhjhrf7SUNDdY9Q01NDRtbI7zVELY8fvG0AgZbaUoQzHTGxpc7VYUCTSUqU6iEGHYkgCOEyDt+v5+f/OQn8WOXy8W1117bpXxo06ZN/PKn/4X26Xq+N7GcEysL0XZswvU/PyV4zc09TnJSUkqojIr8C+AUbltPaM0HKL622APRCB0d0oxQCCHE0BIIWHvleTSVds1NYR8zcDw2lTFejZ0dsdcwga1tUY4+FMAZ53EAoIRi06B2796NYRioau+v7/jTb7Gtfh3tg7eILD2L8Je+AR7rFKnuAjgPpWTfLKp2ML108JoXd0rNwFlyxgV8v7gRzVOA6fKgTxxPaNBXJYTIJgngCCHStn79et544w3cbjdut5vJkyczZ86cjL1+SUkJXq83HrAIBoM0NTVRVVUVv6apqYmbb76ZsKqhOj38dNM+6oMRzh9Thu2Dt3E8cR/h867s9vWVLhk4+VdCpbs8FGhJGzNDJxgM9vwEIYQQIg85HA4Wjh9FKNpOQDcY7bazT3NTnEa5UW2xLR7AAdjSFmXmyPEAFNs1SmwareEQmAYlJSW0trZSVlZ22NdUd27F/sqfAFB0HceLT2IWlxI5/XzLdV/+8pcZM2YMpmlSX19PadUIHn/Vmtly8dTBz76Brj1w3h61gOBvXwPplyfEsCUBHCFE2ra/9Xee/+3DoGqYqsppp5yS0QCOoiiMGTOG9evXxx/btWuXJYCzcuVKWltbATBGjUfbsZlyZ+IrzfHCHzCqRxM98Qzri5tm1ybGeZiBo7vclDtsPDRnLAWainbhtdhOOyfXyxJCCCHSMnbsWG4+uQ67uz3+2EU2F9WOvgcZaottvLonkUuyqTUC44swKmpQ9zfwvdoqiuwalbf8Ate0o3t/QdPE+ftfo5iJJsRG5Qgin/tyl0uXLFlCVVUVtbW1ADyyyUdbuDV+vsKl8sXxg9u8uFNJShZTcwQJ3ggxzEkARwiRtuDWDShN9QAoQEHDjoy/R11dHWPHjmXs2LGMGTOGKVOmWM7/27/9Gy6Xi7vuuotoNMqyK6/hc5tfh9YD8Wucj/wKs2oE+sx5iSf62lGCiV4ypsOJWViS8fUPlO7yYFOVeGp4SA8TkU2ZEEKIIUgJWjNW2jQ3RWlk4ExJbWR8sLOR8QTU/Q0sLItlwAQP1BOl9wCO7b3X0DZ+ZHksdP7V4HD2+tyHN1rLp75e68Gp5eb3c6nT+r6tIaOHK4UQw4UEcIQQaQv4rL1Y3N5Evfj6lgh/rrdxXnWUCUX9/4r58pe73gVLtXTpUmpqanjttdf4xlXXENx+Cu5brkMJx0qNFMPAddeP8P/w7nhzwq4jxKvy8m6VfqgRYSfFL/1vhBBCDFEpzXQ7NDeFaWTgTE4dJd6WGCXOh+/GH1d3b+v9xYJ+HP+3wvJQ9JiF6HMW9/rUf+0P86/9kfixAnwzR+VT0LUHTmtYAjhCDHcSwBFCpG3hyCrKxlcQ0A38usGMSRMBWNMc4eS/NBLSHdyxfR/vfal6QEGcvjjqqKM46qijADAmTCV4xQ9w/eY/UczYvArF78P9q5sI/Oc9mEWlXfrfGHnY/wYg6rKmYys+CeAIIYQYmrpk4NjSzcBJCeC0RjFNE2PMRMvj6p7eAziOZ3+H2ro/fmza7IS+dk2fbuakjg5fOsrJ+MLc/TlVnFJC1RoyMUwTNQ9vTAkhMkMCOEKItM0o9TJrVKLsKDhjBlHgme0BQod6DIZ0+O1GHz+ZXzyoa9PnHk/4K1fgTLq7pjbV47rzhwRuvL2bDJz8638DsRIqC8nAEUIIMUQpKRk47ZorrQycardKkV2hLRK7OdMRNan3G4wePRGjciTG6AkYoyegT5px+HXU78T+tyctj0VOOQezZnSva2gNGTz1acDyWC5GhyezqwqFdoX2Q5+L2X6AZ15YgxoJ4vf7GTFiBCeccEJO1yiEyCwJ4Agh0pbcQwbAdMayRRoDuuXxd/ZlZnjlnj17aGlpiWfa9CZy6rmoDbux/+O5+GPalrU4H/gFZrF1KkU+jhCHrgEcKaESQggxZA0wA0dRFCYX2/ggqXxp88EoI8dMxP/Lx/r2IqaJ8/e/QdGj8YeM0grCX/x6j09pbW2lqKgIgMe3+AnoZvzc6AKNz4929flnyJZih0p75ND+68Au7n/kh9j0CBgGC6pLOWHu85CHvf6EEP0jARwhRPpSNmK4YwGc5pTmef/aH8EXMShIY5OWqr29nZ/85Cc0NjZy9dVXs3Tp0t6fpCiELrgOpWkvtrX/jD9sX/lal0vNivwsodIPBcV2+MM0BCO0b9xK69/+xuzZs6mpyc81CyGEEKmefvpp1q+rJxoIUazofLHSk3YGDsQmUVkDOBE+OzLRdLi1tZXt27ezadMmnnzySc4//3yWLVsWP6998Ba2NasBqA9GiJom+lfOQ/EFKLY5sNm6/ll0/fXX09LSgtvt5j1Gw/EXgzsW0Pnm1AI0NfelSqVOld2+QwEchxut4yBKNAxAoCmM4uvIy2ENQoj+6f9fVUKII1ZqLbt5KFukJSWAEzVhdVN4QO/19NNPs3fvXqLRKHfccQe//e1vMU2z9yfabASv+jHGyHFdTu10ltOhxjZ9+Z6B8787m/n++np+/s7H3HXXXWzcuDHHKxNCCCH6bvPmzbzrLOPXoXJ+HKjk2CnfoT3NKVTQdRLVpoNRy/Fjjz3GD3/4Qx555BECgQAPPvhg4mQ4hPOxu+OHP9vYwDc2NPPNe37LN77xDTZv3tzl/SKRCE1NTUSjUbbubaRl80dgj2Xc2BS4oNbT5Tm5UJIcCLO7MFUtfujXjS57NiHE0CYZOEKItHUpoToUbEjNwAF4qyHMCSP7l2L8xhtv8Prrr1sea25u7vsLFBQS+M5/4/7JlajtrbSMmcbMMdfS6CgG02SazccbY8fj6NfqsqszgFNgO7TBNWJ31/x+2YgJIYQYOgKB2J5B77z54nSDEuvdko7a1EbGKQGcceOsN2ySe7/Yn38cNWmIQQQwqxN9b+x2a3AIYhnAF198MQ899BBNYQUKSsEW2zGcMc5NtUfr8pxcKE2eROUp5rhxo6hub6LAplLptKEEfD0/WQgx5EgGjhAibWbqZuDQxKTUDByAtxv63wensrKSxsbG+PH06dO55pprUNKYrmBWjiD47Z8RWfx5/r8z/isWvAFQFDboXp7dqx/+BXIkHsDRDn1N6xLAEUIIMfQEAgGiydsDuwuvTUm7/Ki3AM78+fMtZVBerxcApWU/juetfXLCNeMwnYmbS92VT5WVlTF9+nTCBrREFKgcGz+X6+bFySyjxAtK+NbiBVwzqZKLx5VzRk1xlxHuQoihTTJwhBBpO/uVfxGKRPBoKh5N5RdRg0K6D+D8sylMMGrisqVfJz59+nTOO+88Xn31VSZPnszVV1/d7V2y3hiTZxKaPJPX/tLU5dy96zo4e2J+pEEnM212TLudcR4Hc0vcFGgq9pNO7HKHUQghhMhn3/rWt9iwp4n3XtwL4SCU1FCUZv8bgIlFNlQFjEOJPLt9uqXPXlVZGb/4zrX8429/pb2shilTpgBglpQTvOI/cD5+F+r+fRhFpVSOmUGosQld14lEIjgc3efiRqNR9vl1KCiDBbF+OlOKbRxXkz+5uyUpo8Q7bG7LsWTgCDG8SABHCJEe08QfjjX/Cxk6LREdh7cIf9Qg2E0yS9iA9/eHOa7G2fVkH3z961/n61/veUJEX7VHDP65v2s/ntVNEf61P8ycivzZjHUyPV5Oq45wWnWsYaLvom9gllbkeFVCCCFE302ZMoVIxQTYnsioLezHcAOnpjDeq/Fpe2KzsaUtyqwyO+7/ugp1x2bmRiPMBXw3Pp2YOqko6POOx3/0fBzPP45RPYr/XPL5vq196jQi3/w1GLGyL4CLphaklQmcbZYSKmIj2i2kB44Qw4oEcIQQaYn4OogmNRFWFQWHx8MeX8+lSG83hPodwMmUdxvC6D30Pr53XQf/85my7k/mUOD/3QF2B6bHC24PqPlRby+EEEKkoz1izdDtTwYOxMqoLAGcg1FmlTtAj6JEExOq1N3b0ItTfq87XYTPuiit93utIcpe0wOHluvWFL46Ob+ydlMzcFo1ycARYjiTHjhCiLQEW61NhD0OO4qidNvAuNM7DQObRJUJb9T33Ivn6W0BmgL51wvHHDkOs3IEFBRK8EYIIcSQpK19nzm/+TbPf/QL/m/tnSzf/VK/MnAAanuYRGWMnmB5XN2zrX+LTfHQBmvw48sT3daeM3kgNQOnRU0N4EgGjhDDiWTgCCHSUmTXeGXxJAK6iV83CJRWAtAS6nm096rGMGHdxKHlLuU4NYCjYaIfuqUWNuC3G33cMLsoF0sTQgghhi2luYnyXes55dBxQHWw19G/IMiUku4bGRujUgI4uwcewNnWFuWVPda9w7fyqHlxpxKndW91QJUSKiGGMwngCCHSYhaXEfz2LaihAN6gH6/NTpTuGxh3CugmHx4Is6AqN2VUzUGdT5ojlscuHB3l4d2JO3kPbfTx7WMKsac5FUMIIYQQPUvNAGnT3GmPEO80uaiHAE5KBo799ecJn30JZlFpv94H4J61HSTfmppTYc/LfnmpJVQvrHyXT9bsxKcb+HWDH4zfxvQcrU0IkXn5lQMohMh/Lg/6sUuILlpK9MQvEj3+NIDDllABvJ3DMqq3GsKWTdjMUhsXjI7gSZqMVe83+MuOwOAvTgghhBimotEoe/fsoSUcJaQbmKZJh81FUYYycLYcjGKYZpcADoDne1/H/tJToEe7nOtNc1Dn95utgacrZ3jTfp3BkFrS1dTh41N/mH2hKO1RA197W45WJoTIBsnAEUJkRGoGTqlTsZRVvd0Q4vpjCgd7WQC82WBNgf7MCCeFNvjqZA8PJtW337fex7IJ+dWc0O/3c+edd+L3+/H5fGiaxm233ZbrZQkhhBC92r17N9eu+C1Kc2wC1Xi3g5qJ/c/AKXeqlv1FQDfZ7dMZW1qJ6SlA8Sd+pysBH85Hf4P66XpCV/wwrfd5cIOPQNLkgyqHwbIJ7sM8I3dSM3CC9gKKk479HR2DuyAhRFZJBo4QIiNSM3BOHWPd6KxsDBM1eu6Tk01v1ncN4ABcOt1ay/7uvjAfHch9w+VO6o7NuF56knf/9CQfvfAsm99fyebNm3O9LCGEEKJPAoEAGIkhAS5NoV1z9zsDR1EUaousjYy3HIyConTpg9MpctKZab1HMGpy33pr8+LzRkbztsS6yKGgJuUZ++3WTKGAX6ZQCTGcSABHCJERqQGcuioHFa7EV0x7xOzSh2Yw7PPrbGhNpE+rCiw+NNJ8Womdz46w9uVJ3bTlkrp1HYVPP4StuRGl9QCKr4NoNEo4nD9BJiGEEKInwWAQjMT+wKWptNn6n4EDUJtSRhWfRDVyfJdrI4s/jzHl6LRe/4lP/TQFE2sutCssq0m/DGuwqIpCYdJH4ph1MvfOGsPv547j6QUTOGNESe4WJ4TIOCmhEkKkZevWrWzZsgW3243H42HUqFGMGDGiSwlVmUtlcbWDZ3cE44+91RAa9AaAqeVTc8rtFDtUGg8dXza9gNeTMnT++Kmfm+cVUe7Kg7HdHi+KolBgU2mLGvG7mH6/H4cj/xopCiGEEMkURaHa4yToV/HrBh5NZbvW/x44AFOKe2hkPGZil2vDX7k8rdc2TJO711hLjr4xpQCvLX9u7nSnyGZyMBoLiu2smk7kZ7+jqKoI0+Uh7MrP0i8hRP9IAEcIkZb3X/wrv3/iSVBVUDXOOfccLrzsim564KgsrnFaAjjvNIS55qjBXW/q+PDPpGTcnDrGxVivxs6OWHAkpMMjm/w569eTzPTE0qBvqK1GA9zTjka7+kd4vfnZSFEIIYRINnv2bH53+nHYNnwIxAIkp9rcFDv6n4HT0ySq6NzjcfxhBUoklu0buuA6zJLytF775d0hNh5MZNtoClw+o4Bgfb+XOygKbYkSqrBqp75sBGPKcjP5UwiRXRLAEUKkJbT2A9Tdn8aPC7atB7qWUJU5VZbUWDcP7+4LYZgmqjJ4deS9BXA0VeHSaQX8x/uJKQ0PbvBxzVFebDmud+8M4Cwui/Xq0QvsBMaNy+WShBBCiLQkjxFXlVgPnEL7ADJwSlIDOLGAjVlWSeAHd2F771WMCVOJ1p2c9mv/Zk275fisCW7GeG3ke/e5lJgWraHc9BwUQmSf9MARQqQl6LeO1fR4Y5kqzcGuAZyZpTbLXbbWsMnalsGrI9/RHmV7e6J5ol2FhdVdS4++PqUAt5ZY526fzvM7g12uG2ydAZxOil8mSQghhBhalKB139CmuSkaQAbO+EIbtqSn1/sN2sKxPYgxYSrhry7vV/Dmw/1h3mqw9pi7aubQyHgtslkDNi1ho4crhRBDnQRwhBBpmVFWxKlVhXymvIB5JR5qamowTLPLZqHUqaIqCouqrRkv76T0pMmm1P438ysdeGxdv/ZKnSrnTrLWiN+3Pg+CJSkBHGSShBBCiKEmaP3dFWti3P8/QeyqwoSUlJOtbQO/OXTXWuvv/c+McDJ7kPv29VeR3RrAaQ1JAEeI4UpKqIQQaVk6topT91fHjwOzjuFA2CR5QrhbNXEeymhZUuPgb7sS2SxvN4S4fMbg3NFKHR9+/Iie68Evm+7lfzcl7hK+3RBmTXOEo8rsPT4n27rNwDFNGMQSNCGEEGIglEDActyuuQaUgQNQW2yL976B2CSqgQxJ2NkR5U/brOu8eohk30BKCVU0zNYtm/koouL3+1FVlYULF+ZsbUKIzJIAjhAiPUHrBgeXp0sD4+KkO0HHpfTBeWdfGNM0UbIchDBNs0sAJ7X/TbKZZXaOq3FY0qfvX9/BnUtKs7bGXjmcmHZ7vCGjokchHAKnK3drEkIIIfpKj6KEEzdxDBSCNqelbLk/phTb+GvS8ebWgWXg/M+6DvSkG1HTSmwsHT10mgAXakmL9x3kH/+1nA22KOg61QVu6h7/P8yaMblboBAiY6SESgiRluRmhACmy901gJMUGj66zE6hPbFR2x802HQw+31wtrZF2etPrMutKcyrPPzducumW++2PbE10OVnG2ymx0vYMGgKRdnhD7Phww+or8/zcRhCCCEE8OLzz/PAjgM8tquZP+9t5dOIQqFTG/BNnMmpo8TbIv1+rdaQwSMbrXubq2Z6B3XgwkBZSqgcLop8LShN9SjNjQTqd6E2yb5BiOFCAjhCiLQooa4ZOKkTqJKb6dlUhYVV1sDJ2ylNArPhjXrre9RVO+JlXT35wlgXowu0+HFAN/ndphz3nfF4eXrvQc57fzsX/2snN/zwP3nhhRdyuyYhhBCiD95ctZoHXGP55sFKzj9QysnjvjWg/jedpqQGcAaQgfPIJh8d0cS+pcqtcu4kT79fLxcsJVQOF1El8Rn7ogam9NATYtiQAI4QIj3Brhk4qQGc4pRmeqnjxN/Zl/1Gxr2ND++OTVW4ZFqB5bEHNvjQjdyN4zQ9Xgq0pK9qQ8fnk42YEEKI/BcIBIiaYCgqYdXGnsLRFDkG/udHbbG1P93W9mi/fleHdZP/WWdtXnz5dG+vN3zyjWUKlWanpqyCWUUuFpUWcFJlIYavvecnCyGGFAngCCHSkjoO1OyuB07KOMvF1akZOCFMM3tBESPN/jfJLpzidzzJNQAAIABJREFUwZVIwmFnh25pwjzYTI/XOjlL1/GnjHIXQggh8pHf70dP/n1vd1rKqvur1KlS4Ur8bgzpsMunp/06T28LWMqtPTaFi1Nu5AwFqWPEv7L0dG4/ejQ/nTGCm6ZUYw8P3gRQIUR2SRNjIUSfmYbBpW9vwK0quG0KblXlu04XzSFrgCPlxhhzKhy4NYXAoQ6B9X6Dbe06E4uy8xW0riXKgaSgUpFdYVZ536ZJlbk0zp7o4febE0GSe9f7OH2c+zDPyh7T46XIplFm1yjQVJwjaxgxYkRO1iKEEEKk46yzzqJ4Yz2ffHQAIkEoKM5IBg7EJlHtDybKpTe1Rhlf2Pd9hWma/GaNNTPla7UeSp1D7/526nbqgJIy7CAoN36EGC4kgCOE6LNQRzvb/Im7OA5VRbE7aA5ZNwapGTgOTWF+lcNS1vR2QyhrAZzU8qnFNU5sat/v+F02vcASwHmjPsT6lgjTS3MwUtzjZX6phycXTAAgeOH5RE/+0uCvQwghhEjT5z73OfZP8ENBS/yxogxk4ECsD867+5ICOAcjfH5M36c0vl4fYm1LoneOqsDyGUNndHiy1AycRqyfgxKQ0mshhgsJ4Agh+izQ2mw59jhiAY3eSqgAltR0DeBcMCU7acr9LZ/qdEy5g0XVDsvG8P71Pm5fXJKR9aUjcsIZRGctwvR4wePFKKsc9DUIIYQQ/dUWThl0kKEMnNRJVFvSnHD5mzXW3jdnjHMxIUs3lrLNqYJDhc6PukWzZg2nThAVQgxdQ/NbSgiRE4EWawDH5Yj1tukSwLF3F8BxAolU5bf3ZWcSVdQwebvBGsA5Ps0ADsSaGL67L/Hz/t9WP/85t4iSQU6tNsZPgfFTBvU9hRBCiEzQPl7JZ196jVtbNNpsbt4qnkqRfWFGXntKSr32pjQCOGuaI7y6x7pXuHpmYUbWlQuKEusLtC8Q24+1pQRwCEoGjhDDhQRwhBB9Vl3g4f7ZY/DrBn7dgOrRAN2MEe/63LkVDsvdoV0dOjs7ooz1ZvZr6OMDEdoiiQBSmVNlZmn673H6OBcjPWq8uaE/avL7zT6uPmrobvCEEEKIwaRu28i8T15k3qHjn489k4hjUUZeu8so8TQCOHevtWbf1FU5mF/l6OHqoaHEkQjgdGipJVSSgSPEcCEBHCFEn9nKKxl14XKUYACCfsziMiJAc7D3DBy3TWFupbUs6Z2GMGMnZ/ZrKLX/zfEjHKhK+vX2dlXh4mlefvpBW/yxBzb4uHKGFy2NfjpCCCHEkSp1cmW75qIqQz1wxno1y42hpqBBa8joNVO23q/zx0+t67r6qKHZ+yZZcvPlnbu2csvGBvy6iU/XOd1ZQV0O1yaEyBwJ4Agh+swsrSDyxQu6PN4S7r0HDsTKqCwBnH0hzpvsyegaUwM46fa/SfaNKR5u/bAtvjnc3q7z8p4gp47JzUQqIYQQYihJzfxos7mZlKEeOJqqMKnIxvrWRObN5oPRXjNp7lvXQSRp2zKpSOO0NJof56vipABOy8FmXt2fyDI6tuVgLpYkhMiCtAI4hmGwZ88evF4vpaWl2VqTEGIIiRombeFEwEYBepriuaTawS+TjlN71QxUWDctASIYWACn0q3x5YkeHt+S2IDet86XkwDOM888w/79+/H7/fh8Pq644gpKSga/qbIQQgjRF2vWrOEn9zyCp60Fj03lmCIX7dNcGZtCBbFR4skBnE0HI4cN4LRHDB7aaO0Hs3zm8MisLXUkfoaQ01ru7fdLDxwhhou0QuC6rjNnzhweffTRbK1HCDHEdGlg7FDQetgHLahyYEs6t7VNp8GvZ2wt7zeFCeiJYNIIj8rkAU6UuHy6dVLWa3tDbGqNDOg10xIOoX30Hi8+8jB/fuh+XvrDo7z11lu0trYO3hqEEEKINAUCAULhMK1Rnb3BCAfCOm02N4UZysCBWAAnWW+TqH6/yc/BsLVP3lcznAmcK8mlY0FXseWczx8c7OUIIbIkrW9Qu91OTU0NSj/6SQghhqfUAE7ZYWrPC+wqsyusUyPeyWAWTtf+N84Bf1/NrnCwoNJ6N+/+9YN3J0vxd+C+/f9RtPUT1H27UZsaAPD7pSGhEEKI/OX3+1GMxB7Bo6m0a+4MZ+D0fRJV1DC5Z521efEl0wvw2AZ3umS2lCQFxoJjj+HG2ipunlbDL2eO5LwaL5jdl7cLIYaWtL+xLrzwQh577DGCQYnkCnGkaWhoYOPGjezcuZOmpiZCoVCXCVSlvTQPXFJtLWnK5DjxNxsy1/8m2WUzrFk4j2/x05bS9ydbTE+ssWJ8g6nHMpYkgCOEECKfBQKB+O8sALemxAI4GczASWcS1XM7AuzqSKzHqcGl0wp6vH6oSd5/RcrHsPP8n3Dsz+5i6m0PUPKLh3O4MiFEJqVdWzBhwgRM02T+/Pl89atfZfz48bjdXftBLFu2LCMLFELkj7/88Qmeee4vmKoGmspFF12Me/4XLNccLgMHYo2M71yTuAOWqT44/qjB6kZrMOj4mswEcL44zk2N+yANneM5oyaPbfFzxYxBmFrhcGLa7ZxaVcTcYg8em4p63XVMnDgx++8thBBC9NMpp5zCaS/NJVi/m4Bu4FRVHrJlNgNnckoAZ1t7lIhhYk/paWOaJr9ZY82+OW+Sh0q3lrG15Frq9K2XxyzhvFllOVqNECJb0g7gXHbZZfF/v+2227q9RlEUCeAIMQxF3n8Ldeu6+HHBpo/Yf8yplmtKXYcP4CysdqAqYBzK5N3QGmV/UKfCNbBN1KrGMMlJMeO8GuN66qacJoemcNG0An7+r/b4Y/ev7+Cy6QX9GlGeLtPj5aTKRN8d37w5mKWyKRNCCJG/FEXBHQlR4Ej8Lm7XXBntgVPkUKlxq/EbLBEDdrRHmZxSWvXOvjAf7Lf2r7tq5tAfHZ6sNOVzbR2kTGEhxOBK+xv0ueee6/WfZ599NmMLbGho4IorrmDSpElUV1ezcOFC3nrrrfh50zT5+c9/zrRp06ipqeH0009n/fr1ltdobW3lsssuY+zYsYwdO5bLLrusSwPQtWvX8oUvfIGamhqmT5/OL37xC8yUWtFnnnmGhQsXUlVVxcKFC3nuuecs5/uyFiGGsoDPWrbj8XrT6oEDUOxQObostQ/OwMuoMjk+vDvfnFKAPelH29qm8+qezE7R6pEnZZPp7+j+OiGEECKPKEHrviHi9HTJjhmo1EbG3fXBSc2+OXWMiykl9i7XDWUlTuvnmro/E0IMD2nfnj7uuOOysY5utba2csopp1BXV8cTTzxBeXk5O3bsoLKyMn7NnXfeyd13383dd99NbW0tt956K8uWLWP16tUUFsZG6F1yySXs3r2bJ598EkVRuPbaa7n88sv5wx/+AEBbWxvLli1j8eLFvPbaa2zevJmrrroKj8fDNddcA8CqVau4+OKLuemmmzjjjDN47rnn+OY3v8mLL77IvHnz+rwWIYayGredqV4n/qiBXzfwFpd02SD01gMHYEmNg48OJO6Evd0Q4ovjBzaaO9sBnGqPxrLxbp74NBB/7L51HXxutCuj79MdMyWAo/g7kFaEQggh8poeRQknfjfrKNhcmf+dWVts582kG0Gpk6g2tUb42y5r785rjhpe2TfQdf/VKgEcIYalzNQXZMmvf/1rampquPfee+OPjR8/Pv7vpmmyYsUKvv3tb3PmmWcCsGLFCmpra/njH//IRRddxMaNG3nllVf429/+xsKFCwH41a9+xWmnncbmzZupra3lySefJBAIsGLFCtxuNzNmzGDTpk3cc889XH311SiKwooVKzj++OP57ne/C8DUqVN58803WbFiBQ8++GCf1iLEUHfxzAnYlJb4cWDOHB5pSy8DB2BxtZN71iYmOb0zwEbGB8NGl9To4zMcwAG4fIbXEsB5eU+IrQejTCrO7ldpdwEcIYQQIq8FA5bDds1NoSPzPWd6y8C5Z631d+acCjuLq63TJYeDkpQSquZAiNbWVgKBAH6/n4kTJ8okYSGGgX4Vof7jH//goosu4sQTT2T27NnMmjXL8s/s2bMzsrjnn3+euXPnctFFFzF58mSOO+447rvvvnhp044dO9i3bx8nnXRS/Dlut5vFixezcuVKIJY54/V648EbgLq6OgoKCizXLFq0yNKM+eSTT6a+vp4dO3YAsHr1asv7dF7T+Rp9WYsQQ52Sshkz3R5awv0J4Fg3TmuaIwO6U/TuvlC8pw7A1GIbNZ7MbxLnVjqYmzIG/f4N2Q+mSABHCCHEUKMEfJbjdpuLIkfmAwhTSnqeRNUU0Hl8q7WM65qZ3mEZyEhtYhy545tc8KUzuOwrZ/PtC79GdNumHK1MCJFJad82XrFiBT/4wQ+oqKhg3rx5TJ8+PRvrAmD79u08+OCDLF++nG9/+9t88skn3HjjjUCsmfK+ffsALCVVncf19fUANDY2Ul5ebvmiVhSFiooKGhsb49eMHDmyy2t0nhs/fjz79u3r9n06X6MvaxFiyEsJ4OBy0xzspoSqlwnXZS6NGaU21rXENlkm8F5jiFPH9K+MKtvlU8kum+Hl8jcSWUiPbvbzg2OLKLRnriljF0kBHNM0CbY2E2hvl9JMIYQQeWvVu+9iNLXj0VQ8mkqk0pGV35WTi1IzcBIZufdv8BFKTA5njFcbcMl2vrKrCl6bQkc0dkdrkt6Guntf/Hzwk/exT5yaq+UJITIk7QDO3XffzZIlS3jqqadwOLKbfmgYBnPmzOFHP/oRALNmzeLTTz/lgQcesEzDSo2im6bZJWCTqrdrOrN8ersm9bG+XJNs8+bNPZ4biGy9bibl+xplfV3N7GgjOa9lW/0+GtrsJCfzdTTuBm/v65vpsrOORDbLX9bvY1Iwcphn9OyV7S7LGibTzObNTb0+rz+f4VEGlNndNEdi/123R0x+/c4Ozh3ZtWniQHWub2QwTGNbgP9YX48vahBcdwsTFvyD66+/PuPv2Z/15bN8X6Osb+CGwhpra2sz8jqyZ8hfsr6u7vnjn1jX4qE+YKKZBlNmnIIn7GPz5pYu1w5kfYYJTtVNyIj9Xm4JmaxetxmXCveucQOJffg5lQG2bd3Sr/cZCv8bF2guOqKx/ZBqt/Yb2rvtU9Qc/gz5/vlB/q9R1jdwQ2GNve0Z0g7gHDhwgH//93/PevAGoLq6mqlTrZHiKVOmsHv37vh5iGXJjB49On7N/v3745kwVVVV7N+/3xJIMU2TAwcOWK7pzKRJfg1IZNRUV1d3e03y+d7W0p1MbeqSdfb2yWf5vkZZX/fsUWuvmnHTZ+D/NAAkbm/NmjyecMO2Xtd3ui3Ak/XN8eN1IQ+1tVVpr6k5qLPprYb4sQKcM2ccZb2MJR/IZ3iJv41bP0yMFH/mgIfvf6YqoynZyeuzbxhLi6LQHo1lO9lVFYfDkdP/H833/0Yg/9co6xu4obDGTJI9Q36S9XXP7nShe7y0RWI3OFZWHM35pUXU1pZmfH216xtZ05y4CRQtH8vqligHo4mps0UOheuXjOtXFtBQ+d+4cl0j+0Kxz0F1FVBoUyk4lAFV4nZRnaOfId8/P8j/Ncr6Bm4orLEv0v4Gmz17Njt37szGWrqoq6tjyxZrlHzLli2MGTMGgHHjxlFdXc3f//73+PlgMMi7774b73mzYMECOjo6WLVqVfyaVatW4fP5LNe8++67BIOJDvV///vfGTFiBOPGjQNg/vz5lvfpvKbzNfqyFiGGNNOElHGguDw0p44Rd/Xta2VRSh+cjw5EaI+k3wfnzZQR5EeV2XsN3gzURVMLsCXFajYdjPKPvdkbKW56vBTYkj5XQ8fv76VOTQghhMghv9+Pnvxr3eHOSg8cgNqUMqqNrVHuXttueeziqQXZLXfOAyVJn++Sz3+FPy+cyKPzxnP/nLGM8Qy/xs1CHInS/hb72c9+xmOPPcYbb7yRjfVYLF++nNWrV/PLX/6STz/9lD//+c/cd999XHLJJUCsXOnKK6/kjjvu4Nlnn2XdunUsX76cgoICzj77bCA2LWrp0qVcf/31rF69mlWrVnH99ddzyimnxCNwZ599Nm63m+XLl7Nu3TqeffZZ7rjjDpYvXx6/o37FFVfwxhtvcPvtt7Np0yZuv/123nzzTa688so+r0WIoSzQdpCfrd/L7VsaWbFtP4/tbSOAjYCe6B5sU8Br69vmrNqjWSZH6Casakx/GtWbg9j/ptMIj8aZKTX096739XB1Bni8eLTE17UDsNnyeoigEEKII9ySJUsYOasOxh4DI6aA3ZW1AEptSiPjFWs72NqWyA62q3DZ9OE3OjxV8ijxNs26T1ECcuNHiOGg178AzjnnnC6PFRUV8aUvfYlJkyYxZswYNM16t1tRFJ544okBL+7YY4/l0Ucf5eabb+a2225j9OjRfP/7348HcACuu+46AoEAN9xwA62trcydO5enn37a0tzz/vvv58Ybb+Sss84C4LTTTuPWW2+Nny8uLuZPf/oT3/3udznxxBMpKSnhqquu4uqrr45fs3DhQh566CF++tOf8vOf/5wJEybw0EMPMW/evLTWIsRQ5Ws+wN/3J6YflbtdzO0m+yadMqIl1Q7LtIi3G0KcPMp1mGd0NZgNjJNdNr2Ap7Ylmjq/uCvI9vYo4wszH1gxPV7K7BpPL5hAgabCMQsI3nBbxt9HCCGEyJQrr7ySnStbeXtd4gZHtjJwpqSMEt+YMkr87IkeRhZkNzs3HySPEm+zpQZwsnijSQgxaHr9S2PDhg3d/kE2evRoQqFQlxIn6L5pcH+dcsopnHLKKT2eVxSFm266iZtuuqnHa0pLS7nvvvsO+z4zZ87khRdeOOw1Z555JmeeeeaA1iLEUBVobbYcuxx2WlIDOH0YIZ5scY2T325K3BF6pyG9DJx6v86mpE2apnQtzcqWBVUOZpfb+fBArNbcBE54tpFZ5Q6OLrNzTHnsn9oiG5o6sO9EY+RYwmdfgsvjJerxYlTUZOAnEEIIIbKrLWJajouylIGTOokq1VUzh3/2DVgzcDq0lBtiqWXwQoghqdcAzieffDIY6xBC5LlQ20HLsdvp7NL/pjTNAM6SGmu2zD/3h/FHDTy2vr1OavnUsRV2ihyDU9+uKAqXTS9g+VuJBomtYZPX60O8nrQut6Ywo9QWC+iUOTim3M70Uluff0YAs3IEkS9ekNH1CyGEENmkrfuA4z5ai9Jmp11z8aF3PEWO0t6f2A+Ti3v+k+akkU6OKrP3eH44KZESKiGGvT7l+v/3f/83p556KrNnz872eoQQearK6+b/1VYT0A0CuoF37PguGTjpBnBGFWiML9TY3h6rU48YsLoxwmdH9q0MKlflU53OmuDhpx+0sdffc/PlgG7yz/0R/rk/AsQ2T6oSS/c+psyelK3jSPvzE0IIIfKVbeXfuXTVc1x66Piq2osockzLynt57SqjCzR2+/Qu56456sjIvoFeSqiCUkIlxHDQpwDO73//e2699VYqKytZunQpp556KieeeCJe75HzhSjEka6kegQnnPFFlGAAJRjAGDWeewdYQgWwuNrJ9vakMqp9oT4HcHLRwDiZy6bw2Mnl/OSfbaxqDOOLmr0/CTBM2NAaZUNrlCc+TfTRGV2gxQM646Iqk00zoyWpQgghxKBJKdlp11wU2rP3O21ysa1LAGdmqY0T+rinGA5KnYnPt/lgC/+3uwWfbuCPGtT64Lgcrk0IkRl9CuCsWbOGtWvX8tJLL/HSSy9x0UUXoWkadXV1nHrqqXz+859n0qRJ2V6rECKHjNETCS3/keWx5o+tIzr7k0GypMbBY1sSm7y3G/o2jnt7e5QdHYmNmkOFBVWDv0mbXeHgT6dUYJgmn7ZF+fhAhE+aI3zcHOHjAxGagn0fjb7bp7Pbp/PCriDgYnWklV8tzk66uRBCCJFNqU1z22zurJY51xbb+Mde6x7imqMKj6gbIZYMnJYm7t9xIH58EooEcIQYBvo8LmXmzJnMnDmT66+/ntbWVl5++WVeeuklbrvtNn7wgx8wYcKEeMPhJUuWyIhbIY4AzcGBZ+Ck9sF5vylMSDdxaoffcKVm3yyocuDu4wjzbFAVhcnFdiYX2zlrYuwx0zRpCBh8cqAzoBPmk+YI29q7pnh355FNfn40tzhe075hwwb27NmDz+fD7/dTV1fH+PHjs/QTCSGEEP3z4Ycf8uizr1HQ3oJHU5lV7KZjVvbGiEPXSVQjPCpnTXD3cPXwlHwjLeAutpzzh8Jg6KAO/2lcQgxn/YqylJSUcM4553DOOedgGAYrV67kpZde4sUXX2TFihUUFhZywgkncPXVV7NgwYJMr1kIkSdawgMP4IzzaozyaOzxx4IaQR0+2B9mUfXhs2lSAzjHD3L5VF8oisIIj8YIj8bnxySmQRwMG6xpPpSpcyi4s6ElQmoFlm7CHp9OiVNFaT3A848+wj/eeRd0HdNdQGVlpQRwhBBC5J3m5mY2NbVAKFYm7FIV2myerI0RBzhtjIsfrDpI59bkhllFOHq5GTTcJDcxxuFBR0Uj9oH4dQOCAfBICwwhhrIBp8moqsqiRYtYtGgRP/rRj9i1axcvvvgiL7/8MitXrpQAjhDDWGoGTn9KqBRFYUmNw9IL5u2GwwdwTNPMeQPjgSh2qCypcVqyj0K6yYbWCFe+2cK6lsRo9KagDthx/fqHlPz9ddSGNgCMcbX4fNKQUAghRP7x+/2xbI9DPDaVDs1FQRYzZUd7bTxzagV/2OLn2EoHF9R6svZe+Sq5hIriSk4bW8NIM0iBTaXaaUMJ+DElgCPEkJbxOqcxY8ZwySWXcMkll2T6pYUQORQIBFBVFYfDEa8nH+gUqk6La5yWAM47DSGYVdjj9ZsPRmkIJN7bY1OYW+Ho13vnC6emMKvcwZRiuyWA03jo5zQ9Xry2pLRnXY9tkIUQQog8EwgEwEj6Pa2pGG4Papb70SyqdvaawTucFTkUFMAEKKyg8YTLuGaOB9VTAC43UQneCDHk9SuA09raylNPPcX27dtpaWnBNK15/4qicNddd2VkgUKI/HDvvffyyiuvoKoqbreb5cuX0xyyjgPtTwkVxBoZJ1vZGCZimNjV7jd6qdk3i6odwyZNutJl/QwbA7E7mKbHS22Bk6WVhRRoKo7PLmb69Om5WKIQQghxWEuXLmXeE6MJhcL4dYNRbju/ch15GTGDTVUUih0KreHY32Z3jjmNaz5XQ4VL+t4IMVykHcB5/fXXueCCC2hvb6ewsJCSkpIu1xxJ3d6FOFKE33oZbdMnoGoEVRXbp+tocU2xXFPm6l8AZ3KRjSq3Gs828UVNPjoQYV5l91k1bzYM3fKp3lS6rZ/h/s4yNbeXz1TE/gEIfqaO6KxZg708IYQQolelhV7GeGzgif2poaNgd7l6eZbIhFKnSms4Ub7WGjIkgCPEMJJ2AOf73/8+paWlPP/88xx99NHZWJMQIg8F/P5YOvShlGi3qnUtoerneFBFUVhc7eTP261lVN0FcAzT5M36sOWx4RTAqXJbN1nJJVTJFL/0vxFCCJGngtYS33bNTaFTggiDocSpQtK0y5aQeZirhRBDTdp/bW3ZsoUrr7xSgjdCHGFUI4ql96Cn0DI1yWNTcA2gOWFqGdXbKVk2nda2RGlOChwVORSOKbP3+33zTWoJVVNSCVUyxd8xaGsSQggh0qEErAGcNpubIrtk6A+G1JtprSkTQ4UQQ1vaGTjjxo0jGAxmYy1CiDx2y+Kj0Ko1ooaJXzeonzgFPk6c72//m07JE5kA3t0XRjdMtJQ+OKn9b46rcXa5ZijrkoET7CkDRwI4Qggh8lNqAKddc1HYzyxdkZ6SlP1YZ7a0ruuoqiqtLoQY4tL+Jv3Od77Dww8/TEtLSzbWI4TIV4FYeZNNVSiya3Q4rAGF1A1DuqaV2Ch1JjYVbRGTNS2RLtcN5fHhfdGlB07ntK3UyRESwBFCCJGvUkuoJANn0CRPBLX95XZWXPt1vvyF0/jS55eybdU7OVyZECITes3AufPOO7s8VlZWxrHHHsuyZcsYPXo0mma9Y6woCtdee23mVimEyDklZTPWjDVwMtAMHPVQH5zndyYy/N5uCDOrPFFaFTXM2IjxJMfXDLMATmoJVVDHNE3JwBFCCDFkbNuyBY8vhEdT8WgqB1UXRZKBMyhKHIlA2TEH1lO4+2OixO7aB1//GyxckrO1CSEGrtcAzo9//OMezz388MPdPi4BHCGGHyUUsBzvV5xAoq56oAEcgMU11gDOOw0hls9MBC4+PBChPZJovFPhUplemnYlaF4rsKsU2BR8hxoMhQ04GDYpK/AS1A1uWrcXX9TAt6EFfWMLDzzwQI5XLIQQQlj9+NEn2bADWoNhNFNn9rLZzJIMnEFRkhQoM5zW0e2B9vbBXo4QIsN6/cvno48+Gox1CCHymWl2SYduNFxA4rFMBHCWVFsbGb+zL4xhmqiH6rVTy6eOr3HGzw0nlW4VX9IEicaATqnHi11V+LjtUIAr2oGxbx+maUo9uxBCiLwS0A1a3cXUm7HfZbtHLOF4ycAZFMkl7bqjIP7vChDySfauEENdrwGcsWPHDsY6hBD5LBJG0RMBBVOz0aRbSyeT+9f019FldorsCm2HsmyaQwYbWqPMKI1NmXpzmPe/6VTpUtmeHMAJGkz1eNEUBaeqEDJM0GOlVYFAAI/Hc5hXE0IIIQZP5++maPLwI4ebQsnAGRTJAZya+afyu4KteDQVt6agj65ARtEIMbT1qfbga1/7GosXL6auro7Zs2d36XkjhBje2vc38eyuZtyailtTKS0qsozyBmvTvP7SVIW6agcv7U4Eat5pCDGj1E5IN3lvX9hy/bAN4Lg1INHAeX/AwCyLlZJ5NZWQoYMRC/D4fD4J4AghhMgbuq4zadIkNiut0OIDPQKaXXrgDJLk/ViosJIKZ+LPPSXgy8WShBAZ1KcAzquvvspf//pXFEXFMaYgAAAgAElEQVTB7XYzb9486urqWLx4MfPnz5c/HoQY5g7U7+XBnc3x47ElQUIpAZxMlFBBbJx4cgDn7YYwl0yH95vCBPRE/5tRHo2JRcMzmFyV0si4MaCD3YVps/PjaSOwqVCgqZh3P0RxRUWOVimEEEJ0ZbPZuP3229nw1yb2Jt14KbRLAGcwJPfAadPc1pMp492FEENPnwI4u3bt4l//+hfvvfce7733HqtWreKNN95AURQ0TePoo49m0aJF1NXVsWjRIirkDwohhpVga4vl2O10Up+FDByIBXCSvb0vhGmaXfvfjHAM294vsQychMagAYpCdPHnqFU1TI8X0+MlUlQEw/QzEEIIMbQlDx0AKHbI76vBkLwfa7NZAziSgSPE0NenAI7dbmfBggUsWLAgPl1q06ZNvPvuu7z33nusXLmSe+65hxUrVgAwefJkVq1alb1VCyEGlb+t1XLscTm7lFBlKgNnVrndMoWpMWCwtS3aJYAzXMunoJtR4oFYuVToW9/LxXKEEEKItKjbNzGtfjda2Embzc1eR6lk4AyS5DHiqRk4imTgCDHk9Xv+7pQpU5gyZQrf+MY30HWdl156iTvvvJOVK1eyZcuWTK5RCJFj1V4PXxlVQkA38OsmY0bX8ExqAMeVmY2ZXVVYUOXg73sTAZuXd4d4v8na/+b4YRzAqUrJwGkKGj1cKYQQQuQfx9MP8fhH78WPv3TUv1PkkMEog8FjU3CoEDa6ZuAQ9Mcmi0r2rhBDVr8COD6fj9WrV8czcP75z3/i9/spLy/nC1/4AnV1dZlepxAih8aOGsW3Fs9DCQVQgn6iM2ZzXZZKqCBWRpUcwLlrTQeRpLebUKgxxtvv+HPeq3R3n4EjhBBCDAkpmR5tNrdk4AwSRVEocao0BgzCkQhvtQSJRCP4dAOPprIgEgbH8L0JJsRw16e/gPbt28d7770XD9isXbsWXdepra1l4cKFnHvuudTV1TFp0qRsr1cIkQP6jGMJ/Py38eOoYXLwf/darinJ4HSJxdUOy/EevzWAMZzLpwCq3KlNjCUDRwghxBCS0mslaHfhsknWx2ApccQCOBxs5Pvr67GbsX1UbYGThUE/pgRwhBiy+hTAmT59Ojabjfnz53PSSSdx0003sXDhQkpKSrK9PiFEHjoYtgYUih0KNjVzG7O5lQ6cGoR6SDwZ7gGcSlfPJVTt7e00Njbi8/nw+/1UVVUxceLEwV6iEEII0a2PPvqIt1auoTDYgUdTmVHkwnAV5HpZR5R4VrTDha6o8QBOR1SPBdeKSnO4OiHEQPQpgONwOAiFQuzatYtRo0YxevRo9u7dKwEcIY5Q2Wpg3MmpKcyrdPB2Q7jb88O5/w3EAmJ2xSRixoJi/qiJL2JQYFd59ZVXeOD++1B0HVNVOeNLy7j88stzvGIhhBAiZtu2bby4owHFiAUNlo0oBre7l2eJTIo3Mna4iZLYo/l1AyXgx+zheUKI/NevMeK33HILBw4coKioiPnz57Nw4ULq6uqYN28ebvmCFmLYaw5mr/9NpyU1zm4DONNLbF2a/A43iqJQajdpDCeympqCBiWv/pHy+36BtnkfAGZZFX6/TJQQQgiRPwKBAIqZ2Ce4NRXV483hio48JfEMHDeTKyuZGm3Fo6kU2VUZJS7EENfvMeIbN26MjxB//PHHueWWW7DZbBx99NHU1dVxyy23ZHXhQojcyXYGDsCSaifQ3uXx4Z5906ncYdKYFL9qDOhMtjvxJJeqGboEcIQQQuSVQEdHbNLRIU5Nw+F0HOYZItPifQltDmqXfo2z3AeYOqIY0+UhUlqR28UJIQak32Ncpk6dytSpU7sdI/7hhx9KAEeIYeSOO+5gzZo1uN1u3G43VSd+BaiJn89GAGd+lR27imX6FAz//jedyuzW48aAAR4vZQ6NiR4HXpuKc2QVtbW1uVmgEEII0Y3j5h/LxEmVBHQDX9RgfGkJRc7hnTmbb5Izo386/iyCswr54bFFOVyRECJTMjpG3DRNPB4Pc+fOzfQ6hRA51PzmKzRt2oypaqCqVE2cA85EAKckCwEcj03l2AoHK5PSUBTguJojI4BTardWqDcFDEyPl6OL3Nw/ZywA0aNmEzz33FwsTwghhOjW1FEjObamOH683VlBoV0mUA2m1H1Za0imWQoxXAxojLhpmpSXl/PZz36WRYsWsWjRImbNmoXN1u/EHiFEHgo074eAj87tlxaJQFIcJRsZOABLaqwBnFnl9qwEi/JRmSMlgBPUMb3WHgKKv2MwlySEEEL0SglYS3vbbS6KHEfG7+58UZLyebeGJYAjxHDRp0jLtGnTUBQF0zQZP348Z599djxgI+n7Qgx/wVDIcuxzWtNwsxXA+bexbm7/OBGkOHP8kdMkvby7DJwqCeAIIYTIc0Frk9x2zU2RZOAMqtThEpKBI8Tw0acAzqWXXsrixYtZtGgR4XCYMWPGHPb61157jZNOOikjCxRC5N4vF00nsMuNXzfw6wYPF9VAIHE+G1OoAI6tdHBbXTGPbPIzv9LBVTOPnCkWZSkBnMagDqlTPCSAI4QQIs8ogYDluF1zSwbOIIuPET+kRQI4QgwbfQrg3HrrrfF/P/bYY3nhhReorq7u9tq//OUvXHLJJTQ0NGRmhUKInCs1dcrdiQkSTbZCy/kyV/Y2ZpdO93Lp9CMncNOpNKWEqjFgYHqsmU+K/9CkD0XubAohhMgPSkoGTpvNTaFdAjiDyXJj7aOX2FL/Cf/+dxN/RwcXnPcVFp+0NHeLE0IMSNrNapxOJ2eeeSbPP/885eXllnN//OMfufLKK/nc5z6XsQUKIXJPCVrvptUb1kbC2SqhOpKlllDtDxpgd2Da7CjRCEDs/0bC4DgyGjsLIYTIf6G2gzhNE+XQzYV2zUWRQ240DKbkfoHTd6+m/MO/sOWfsSwcn+YHCeAIMWSl/VfXn//8ZyKRCGeeeSatra3xxx955BEuv/xyvvjFL/K73/0uo4sUQuRY0NqQcK/usBxnq4TqSNalhCqgg6Jgugt4ZGcz/71pHz9cV89NN95IU1NTjlYphBBCWJ13x33M+qiNY/7VRt3H7bzhGS8ZOIPM0sTY4UYjUULV0SHl10IMZWl/m1ZXV/PMM89w8OBBvvzlL9Pe3s4999zDddddx1e/+lUeeOABNE3LxlqFELkQCaPo0fihqWnUR6z/jUsAJ/OK7aAm3bA8GDYJ6SZ4vLx1oIOXm9p5t8XHmrVraGtry91ChRBCiENM0ySgaOzyVLHOUc77Whm/H71UMnAGmUNTKLDFPvOw01r2HvD7u3uKEGKI6Ne879GjR/Pss89y+umns2TJEnbv3s2ll15q6ZUjhBgmUrJvTKcbv544tinIdIks0BSocKk0BhJ3zZoCOiUeLwW2pICZrsvdNCGEEHkhcKiBsW4eyiK1OUBVKZIMnEFX4lDxRXWUyfP4+YHnKdBUPJpK6djy3p8shMhbvQZwekrN93q93HvvvZx//vmcf/753HDDDZZrKysrM7dKIUTOdOzfz8fNPjyagkdT8biKLedLnWq8zl1kVmoAZ3/QYLLHi0ezBnACKRM/hBBCiFwIhUI4nU6iRjj2gMMNQKFk4Ay6EqfCHj8EysayoLQg/rihR5EcHCGGrl4DOFOmTDnsH2emafLYY4/x2GOPWR5vbm4e+OqEEDm3Y+sW/mN9ffx4WnUI6hLnpXwqe6rcGutaEuVrsUlUXs4cUczx5bFMHPtXLmDM9Ok5XKUQQggRU1paylNPPcXoR3YR9gVAjzXdlwycwdfZyLjd5rY8njolTAgxtPQawPne974nd9eFOIL5D7Zajp1Ol+VYJlBlT1XKePbGoI45ahxz5y/A9HgxPV4i8xdgFBf38ApCCCHE4NINkw5dBVci66NQSq0HXemhRsYdmnXfpgQDYOigSs9SIYaiXgM4N91002CsQwiRp4JtBy3HtpSR1ZKBkz2VbuvmqilgEF52ESy7KEcrEkIIIQ7P33yAkoiPds2Frmp4bQqaKgGcwdaZgWMoKu2ai0I9mDgZDIDHm6OVCSEGol9NjIUQR44Sp50FJR4CuoFfNygr7toDR2RHZWoGTkDv4UohhBAiP5Te/j327/kUAL/q4MzFNwMjc7uoI1Dy/qxNc1sCOErAjykBHCGGJAngCCEOa8640Syamdh4fTzjWH6YdF5KqLKn0m39bPcHjR6uFEIIIfKDEki0yPUYYTSX+zBXi2wpOVRChWmyPaoS9YfxRQ1ChsGUoLQxFmKokgCOEOKwoks+T8eikyEYQAn6+ePHftiWOF/mkgBOtlSllFAlT6QSQggh8pGSEhxQ3J4creTIFs/A0SNc/87HFOqxiZV2ReHpgA8zh2sTQvSfBHCEEL1TNTjUNHenrQWSBlBKBk72pJZQNSWVUOm6jt/vx+eLTZOoqakZ1LUJIYQQqdavX8/OT/fgUUw8msrEAgeqp6D3J4qMK+kc3a7ZMVQNDm0hIqZJtL0N2b0JMTRJAEcIkZbmkDULRHrgZE9qE+PGQyVUa9eu5cYbb4w/Pn36dG677bZBXZsQQgiRavV77/HU1n3x46+PrcDlcuRwRUeuzibGKAqa3QGRxDlf6wEKc7MsIcQASQBHCJGWFgngDJrUDJwDQQOjsZ7Se29G27oWdB1sdgLjx+dmgUIIIUSSQMrkSuwuihwyrjoXkvdnhd5ixpjteDQVj6Zi+qUHjhBDlQRwhBBpSQ3gSAlV9jg0hRKHQms4VqluAi2GRuG+3RA5dCtN1+NlVEIIIUQuBTvaLcem3UmRQ/YJuVCS9Lkf97lz+cqB1UwZUYzp8hAZPRaZaynE0CQBHCHEYT3wwAM0NDTgdrtxu900qUvAWRE/Lxk42VXl1mgNR+PHDXiYoakoQIGm4rErlFRU9PwCQgghxCCZUzuR/5+9+w6Po7rXB/6emW2zRdqVtSu5yTa2cAFCscEldEiIDbkOBG5yU2khodwQ8rNDnJDc3IRcMKGG4tCckA4mEEqCkwAOmGoIEIMxLtgYG8uSVVbbZtvM/P5Ya7WzkizJljWz1vt5nvtcn9mZ1RfpiTT7zvecU1VfjaSmQ9V0BALVCDiF1WWNSKX3Z9dOPAc/b/wsPvwSt3MnqnQMcIhor9b95c94f/sOQJIASYJ3wTi0je8ODNiBc2CFFQkbSzrSW/IyjnW78I95kyFE4aY48dNrLaqOiIio28kfOxwLJoeL45eq6rCVHTiWqHIJCKC421QsZyCvG3BIDNSIKhl/oxLRXqV37YCItkK0t0C07kKdni6+psgCioM3AgdS2GNeO2B3xgB8gWJ4AwAilRjusoiIiHoo30I85lDYgWMRSQhUu8zf+86s3sfZRFQpGOAQ0V6lMhnzWKkq/jvk5k3ZgRZWzL+mW1QN8PrNJzHAISIiGxCqOcCJywrXwLFQsKxLunwdQyKqPJxCRUR79b0jJiLZuhupPfPZFys1xde4/s2BFynbiWq3qsMoC3BEKlFskSYiIrJMeQeOrCDCDhzLFBYy7l6uuGtTBCKqXAxwiGivjvE5IdAdGFzqDhT/zfVvDryIYp5C1ZLuJcBJsgOHiIisJ1TzrogJhwdT2IFjmeKDtp0bgC1v4IEdEp52ZjFr1iycfvrp1hZHRPuEAQ4R7V1GNQ0Tsqf47xoPb8oOtNoeHTharx04REREVhNp8z1DTOYaOFbq2kq87qO1GPPC3djykoEPDQ21a54GGOAQVSQGOETUt3wOIp8rDnUhIS05i+MQn6odcOUdOLvTOuD14/WOFN5PZpDSdEQffhQnjRqPQw891KIqiYhopMvn8/jaAw+jsykJnzBQ7RAQU2u5Bo6FujpwJKcbVZpanE2lxjr3chUR2RkDHCLqW9lc9oxLAUp2P2IHzoFXvojxblWD4fNjVWscK1viAAAj8yrGf2ILAxwiIrJMKpVCkybwoh4srMsme4HRJ+NaduBYJrhns4mUUm06nlLTvZ1ORBWAAQ4R9am8FVp1KqYxFzE+8MLlU6jSOoyQDz655LimQVVVEBERWUVVVehA96L6LgWyALwOBjhW6eqUVsOTccmEUfDKErwOCfVeD2AYpodyRFQZGOAQUZ/S0XbE07nCH3xZQsrhMb3OAOfA8zkl+BwCyXzhljinAym3Hz5Hyfde15BMJvt4ByIiogNPVVVopbtUO90IOAUEQwLLVO+5T8uGxuLs8bVwGd07UiVyWcDltqo0ItpHDHCIqE9vvvkmrvvXtuJ4+rgscFT369yFaniEFQnJeMk2oLIXhwUUnDvGgE+W4J52OCbPmmVhhURENNKNGzcOP751Gc7483YglwaExPVvLNa1iDGEQExWUJvv3vRApFMwGOAQVRwGOETUp3QsZhrrsss0ZoAzPCIeGR+UBDjtsoKZ9TU45pAGGF4/tMOPRXbaNAsrJCKikc7hcMBdUweEu+8NGOBYq7RTOu4wBzhQk0BVyIKqiGh/MMAhoj6lEnHT2HBxCpUVyhcyfnfCTEy9Z6VF1RAREfUunjNMY24hbq1gyX1aTDavYyjSKozyC4jI9hjgEFGfnFoOYZcDKU1HStORd5j/+LMDZ3hEygKcljRvuYiIyH5OuP4r+CCVRcyhICEruGHBj6wuaUQLuboDtHjZPRxUrp1HVIkY4BBRnxYcMR1nHzsRAGAYBpaNPga/LHmdHTjDo9Yjm8a703ofZxIREVnEMOCNtcKva0C2AwCgeFz9XEQHUnkHjmEYyOgGkpoOd1mXNRFVBgY4RNSn3LxPQJv6MSCdQiKWwL0vdz/JqXIJOCS2Rg+H8g6c3arWx5lEREQWyWUh6d1/nzLCAa/CRXKt5HMIOKXCDpY3vfQKbmnbga5HQPfvakKtpdUR0b5ggENEffMFoPsCAICdnTm8/XZL8aUQFyYcNhHF3IHTovbswNF1HZLEnwkREVlj++aNSEdT8MoSvA4JhqJwDRyLCSEQdEnYndaREzKcJa8lo1EGOEQViAEOEQ1Ie8YcGtR4GBYMl3DZ93p3WkM2m8U3v/lNpFIppFIpGIaBP/3pTxZVSEREI92TTzyJlet2FsfnTZ3MXahsIOQuBDhwmjeiUOOdFlVERPujon6r3nTTTQgGg1i8eHHxmGEYuO666zBt2jTU19fjzDPPxPr1603XRaNRXHLJJWhoaEBDQwMuueQSRKNR0znr1q3DggULUF9fj+nTp2Pp0qUwDPNCoY899hhmz56NSCSC2bNn44knnjC9PpBaiCpVR8b8vwcuYDx8ynehalF1+B5Zjl2vrkbnm68it/4tZOMx5PN5iyokIqKRTi3fudLJDhw7CHaFaC5v4f8JgZBThq6mLKyKiPZVxXwCe+211/DAAw/gsMMOMx2/7bbbcOedd2Lp0qV49tlnEQ6HcfbZZyMe7/4jcvHFF2Pt2rVYsWIFHn74YaxduxZf//rXi6/HYjGcffbZiEQiePbZZ3H99dfj9ttvxx133FE8Z82aNbjwwgtx3nnnYfXq1TjvvPNw/vnn4/XXXx9ULUSVqrwDhwsYD59w2SLGrWkdjvfegl+NF3aRyKQBLY9kkjtKEBGRNVJl97uG28sOHBsIugsh2lHzFuCpuVPw2ClH4KEzjsWRkydZXBkR7YuKmELV2dmJr33ta7j99ttxww03FI8bhoFly5bhW9/6FhYuXAgAWLZsGRobG/Hwww/jggsuwIYNG/D0009j5cqVmD17NgDglltuwfz587Fp0yY0NjZixYoVUFUVy5Ytg6IomDFjBjZu3Ii77roLV1xxBYQQWLZsGU444QQsWrQIADB16lSsXr0ay5Ytw/333z+gWogqzZ/+9CeoqgpFUfDibgEYhwMeHwAGOMOp2iXgkoDsngwtlTeQV3zwyhLi+cJBoetQVRXV1dUWVkpERCPVhNoQMlUeqJqBlKYDHh87cGygayequyeeiWWTzsKdJ9TgC40+i6sion1VEZ/AukKRk046yXR827ZtaG5uxqmnnlo8pigK5s2bh1dffRVAoXPG7/cXwxsAmDNnDnw+n+mcuXPnQlGU4jmnnXYampqasG3bNgCFDqDSr9N1Ttd7DKQWokrz1wfux4PL7sCvbr0Zr//yJgQSu4uvcQrV8BFC9FjIWHX78LPDxuAPsybgidmH4C//9wPU19dbVCEREY10F5x2Em45Yhx+cdR4/HrmBIwKj2UHjg10TaHSJBmGkNCRNfq5gojszPYdOA888AC2bNmCu+++u8drzc3NAIBwOGw6Hg6H0dTUBABoaWnBqFGjIET3EwAhBGpra9HS0lI8Z8yYMT3eo+u1iRMnorm5udev0/UeA6mlN5s2berztf1xoN53KNm9RtYHpD7YDClVmCNdB8ChJ/DOnte0WBs2bWq2tL79ZfcaS+sLCDeA7hCnOQtMVVzF8YfbtqKtdnj/e+z+/QPsXyPr23+VUGNjY+OQvA/vGeyL9QGjtm1FQ8k47vDAaNqOTfH+AwO7f/8A+9fYV31GwgmU7D+1pakVm1x9fzY5UOz+/QPsXyPr23+VUGN/9wy2DnA2bdqEH//4x3jqqafgcrn6PK80nAEKU6vKA5ty/Z3TtYBxf+eUHxvIOaWG6qauVNfUMDuze42sryCb10zjpNI9PefQcXVonOzt9Tq7f/8A+9dYXt/4D1qxPpEpjvVgxHR+nd+LmmH877H79w+wf42sb/9VQo1DifcM9sT6Cpyb/mUax2UFc6ZMxMTA3j9u2P37B9i/xr3Vd0g2AWzv3nFK8gXR2BgcrtIA2P/7B9i/Rta3/yqhxoGwdYCzZs0atLW1Ye7cucVjmqbhpZdewvLly/HKK68AKHTJjBs3rnhOa2trsRMmEomgtbXVFKQYhoG2tjbTOV2dNKXvAXR31NTV1fV6Tunr/dVCVEkMw8BFh0SgJhNIaQZUTccNrkDxdU6hGl7hsilUUYc5PBOpxHCWQ0REZCLS5l2NYg4FVVwDx3LlaxZGs3ofZxJRJbD1J7AzzzwTL730ElavXl38v6OPPhqf/exnsXr1akyZMgV1dXVYtWpV8Zp0Oo2XX365uObNcccdh0QigTVr1hTPWbNmDZLJpOmcl19+Gel0unjOqlWrMHr0aEyYMAEAcOyxx5q+Ttc5Xe8xYcKEfmshqiRCCJxX78dXG0bh0km1+PaUCJKO7nWiGOAMr4jH/P1ulRngEBGRjZRtSx2XFQS4Bo7lunahQjIKvPcCNjz/FP74xz/imWeesbYwItontu7ACQaDCAbNLX5erxehUAgzZswAAFx66aW46aab0NjYiClTpuDGG2+Ez+fDueeeC6CwW9Tpp5+Oq666CrfddhsMw8BVV12FM844o9hCde6552Lp0qW47LLLsGjRImzevBm33norvvOd7xS7dr7xjW9gwYIFuPnmm3HWWWfhySefxOrVq7Fy5UoAhQ+7/dVCVFHyeYhcrjjUIKBK3VMZuQvV8CrvwGkRivkEBjhERGShfCqJ0gUP0k4vnBI7cKzWtYixo3UbJj3xExjCwO8dBo6qq8Fpp51mcXVENFi2DnAG4sorr4Sqqli8eDGi0ShmzpyJRx55BIFA91SPe++9F1dffTXOOeccAMD8+fNN25FXV1fj0UcfxaJFi3DKKacgGAzi8ssvxxVXXFE8Z/bs2Vi+fDmuvfZaXHfddZg0aRKWL1+OWbNmDaoWoopR1goddyhAyXpODHCGV7isA2eXUNCayWNrKoukpiH273WIvPMODj/8cIsqJCKikSoWi+Hmf7wEaWcMQUnHGNlA/iil/wvpgOu6X9PcPozJRgsHM4DanAF0HZB4P0dUSSouwPnLX/5iGgshsGTJEixZsqTPa0KhEO655569vu9hhx2Gp556aq/nLFy4EAsXLuzz9YHUQlQpREY1jeOyp/hvWQDVLj5VG04RxXyDtcPw4sX2BH6+pbBeF7bF8Ykj/skAh4iIhl08HsfzsTzeSI8qHKiKoHH83L1fRMOiqwPHcHuhQYKMwho4KU0HMiqg+Kwsj4gGqeICHCIaHqJsLnuiJMAJuqS97q5GQ698CtWHugKvXHJM16CqKoiIiIabqqrQSncLd3ngd8t9nk/DJ9jVMa1UYV59LeqRgc8hocYpQ6hJGAxwiCoKAxwi6l267wCnxsN22+FW3oGzVfPA5yg5pmlIJpPDXBURERGQSqWg6SUJjlNBlZP3CnbglgW8DoGUx4+vHD4V09Sm4mvJsod1RGR/DHCIqFfPPPc87nllCxRJwCtLqJ+gADMLr3EHquEXckmQBNB1f7zdUBB2OXBMtQKvLMHvdmLsMcdYWyQREY1IDQ0N+PQ3FuOdNbuBXBpQAghwC3HbCLkkpPJaYT3DEkJNwujjGiKyJwY4RNSrZCyGlKYjpQFtOQ2ufPefeC5gPPxkSaDWI6FFLcxdVyUXplT78LPD3QAAw+NFcv6nrCyRiIhGqGAwiNFHHAfEosVjVdxC3Daq3QIfpYCYXB7gsAOHqNIwwCGiXqUTcdPYcHf/0WeAY41wSYADIfDa1fdjxthgYQFCmb/OiYjIOrGsbhqzA8c+uhYyjpV14CDNqddElYZ3/ETUK7UswNGd3X/0OYXKGhFFxrqOfHG83VuHGX7PXq4gIiIaBtkM/uu3i3FUxoW4rKDN6ce2I6+0uirao+vBW88OHG5+QFRpGOAQUa+++vFZ+PKON5DSdKiagQcmTCu+xgDHGuGyxaNbVM2iSoiIiLoJNYkJTe9hwp7xbmcA97nYgWMXXTtRlXfgCHbgEFUcBjhE1Ctj5glwjKpDVVrFP99rw3OZ8cXXOIXKGuVbibem9T7OJCIiGkZla6nEZQ93obKR0J4pVKvWr8Pb73+IlKYjqen4f0e+i6M+aXFxRDQoDHCIqFfG2InIj50IAPgd2vDch+nia+zAsUb5VuLswCEiIjuIt7Ygn9PglSU4JYGYrKCKHTi20dWB05bOoDOVLR5PxjqtKomI9gIfnFIAACAASURBVBEDHCLqV0fG3OnBDhxrlE+h2p3Wcd999+HDDz9EKpVCMpnENddcg7Fjx1pUIRERjUR3/erXeHHNVgCAQwCfPjqEcezAsY2QuxCmaS6f6cNfKh7v/QIisi0GOETUr54BDp+qWSFSNoWqftvbeO+JP2HjR02ArsEIVCPOmzEiIhpmarJ7LZW8AWSd7MCxk65dqPJuH9wlx1OJhDUFEdE+Y4BDRP1qLwtwOIXKGrVlHTiH7FyPD3dshujcs4uEw4lUKtXLlURERAeOmjQHATm3DwF24NhGV+d0cPpc3K69Ca8s4HNI8DSOQ76fa4nIXhjgEFGvnnvuOUiSBEVR0LY1AYQnAXLhV0aNhzdlVijvwNkpFPjkkp+FriGZ5I4SREQ0vBRJIOCQkMrr0ADkXT5UuXivYBddHThrxs3BubWNGFtbhYf+YzzyHqWfK4nIbhjgEFGv7rzhOqjpDDQhwdGmwbj4LmjeanhkwOvgTZkVwmWLGH9kKPjeuBAW1FXB65DgnjkPwZkzLaqOiIhGqmvP+zTcxk4YhoGcYeDnNaMRcHIKlV10byPuxTq/F3GHDPgCFldFRPuCAQ4R9WAYBrJbNkLKZSEBmA1gu57AFlRzAWMLOSWBkFugI2MAAKIOH6YHPMXX8x4H0l6vVeUREdEIZezZRlwIAZcQSDoV+Bng2Eb5vVs0q/dxJhHZHT+JEVEPmUwGht69RbVLCCRcfgDcgcpqYU/3NKqowxzWiBQXIyQiouGXK5u+m3V5IQkGOHZRVRamxbIGNN2wqBoi2h/swCGiHnRdxyfDAaSyOai6DhkCL8qFfQu4gLG1woqEjZ2FfzPAISIiO8iXBTh5N7tB7USWBKpdAp3Z7tCmM6ujxiPv5SoisiMGOETUg9ftwtWTa4tjDQI/kwoBDjtwrBUxdeD4zC8ywCEiIgvoqnkHRM3DAMdugi4JnWoGaP8IyKbwzxe3YYxPwpw5c6wujYgGgQEOEfWUVk3DhOwB9rRCswPHWqULGbMDh4iI7MBQzR04BgMc2wm5JWxLJ1D/myvhMvK4588CdT435jz1D8Drt7o8IhogBjhE1INIm5+kxeXuhXIZ4FgrXLKFuyq5kBUS4pksknkdSS2NzPp3MWX6DAsrJCKikaS9vR1/fuNtRDo74JUl1LodAAMc2wm6JcDpwYRMKzx6DkgDakxAxDthMMAhqhgMcIiop946cPbgFCprRZSS+epC4K20wJLXPygemnznHbj5jruGvzAiIhqRmpubcXenA5ujtZANHd7asfhU/WSry6IyQZcEON3QhAwgBwDI6Aa0RAxS3VhriyOiAWOAQ0Q99OjAcSjFfzPAsVbpFCoAMDzmp2bJzthwlkNERCNcOp1G3gA0IUETErLeUfAonv4vpGEVcgtACIwPBjEuF4UiS/DJErRknNsSE1UQBjhE1EN5gJPgFCrbMHXgAMi5A6axmuQ6OERENHxSqRS00h2pnR4EXLxXsJvgnp/JhfM+jvnt/y4eV/U8NKuKIqJBY4BDRD0888KL+PvaHVBkCV5ZQJ5UX3ytxsObMiuFy77/qtuPkFOGT5bgc0jwj66zqDIiIhqJxo8fj2mfPA8fvB8FciowqgFVTmF1WVSmq4M6Jium46JsBzEisjcGOETUw66mZqyLp4vjKXWZ4r85hcpa5VOoYq4qPHzcpOI4/ZXPIT/cRRER0YjV0NCAcSefA9R370TFDhz7CXYFOA5zgIOyHcSIyN4Y4BBRD6lk3DTWXd1/7DmFylpehwS/QyCRL/SrX9ewECd85fPwVwdgeP0wqmssrpCIiEaaWE43jdmBYz9dU6ji7MAhqmgMcIioh3TS/DRGd/uK/2YHjvXCioREvDBj/a3ARGxviGBq0GlxVURENBKJaBu+tPpuHKM6EZMVbPeMQsD1GavLojJ9deAIduAQVRQGOETUw+dnHYFP7VwHVdOR0nQ8UT8RABBwCjglPlWzWkSRsTXeveRgi6pjatDCgoiIaMQSHa1YsPHvWLBn/KZ/AnY6z7G0Juop6Crcv5WvgYO0akE1RLSvGOAQUQ/hY49Hvc+LWCyBlZvasSV8BAB239hFbdlCxrtV7h9BRETW6G3nymoXH/bYTdc93Kamj3D9xmYk9zykOz38Dk74ksXFEdGAMcAhoh60I46FdsSxeGd3Fuc/ubt4nOvf2EOkbCHj3Wm9jzOJiIgOsLI1VGKygnFO3i/YTdcUqpZ4DP/Y3b3W4fTWVqtKIqJ9wACHiPrUXhYMsAPHHsKKbBq/ueYV/PLV7UgkElBVFWeccQaOPPJIi6ojIqKR5H/vvg/vr9kKryxBkSUcetw0zGAHju34HQIOAeTcAdPxVJJr4BBVEgY4RNSn9ow5wGEHjj1ESqZQVeeSyLz0CB7Z/CaEpsGQJMyYMYMBDhERDYuOjijacxrac4XpvPXChQA7cGxHCIGgW0LGUxbgpLgGDlElYYBDRH3qYIBjS6UdOGOzHfjE1ufx4K4oAEC43EiluCUoERENj/IAQHP74HGwA8eOQm4J+pipWDwlAp9Dgk+WUNtQZ3VZRDQIDHCIqIfNmzfD7XZjR4sGZPOA0wMIgZCHAY4dhEt+DlGHFz655OeiaQxwiIho2CTL/uYY3iqLKqH+BF0C6yPT8JuTlyDuUPCDj9ejdvwocCU9osrBAIeITHRdx1VXXAFDEng/YQApDbjslwCAkIsBjh2ULmIcdXhxVLWCr00YBa8swed2oe7kk60rjoiIRpRbzjsLvuceR2rPrkYPBUdZXRL1IeiSkHAoeLBuHgDgy2NrMH2c0s9VRGQnDHCIyERVVUhb3wO0PA4FcLgs49+5GFpc1ahhB44tlE6hSkluHFrtx2FV3TdgiTGjrSiLiIhGILeWR627+yMFO3Dsq3wzivKp8kRkf/w0RkQmqqoCulYcByQgKbkBcA0cu6hyCri7MhwhEHV4Ta8LlTtKEBHR8DBS5r85hocdHXZVXXYfF80aFlVCRPuKn8aIyETPZdHodWGsx4mQU0bQ5UBSLgQ43EbcHoQQCHu6u3DKAxykEsNcERERjVjpsjVwPD6LCqH+lN/HRbPswCGqNJxCRUQmkaoAfnHU+OI4JnuwXBR2k2AHjn2EFQk7koVOqajDfLMsUgnwmRoREQ0HqSzAkbzswLGrYNdahloeyKXx0c4ktgbbMHHiRAjBncOIKgEDHCIyEWnzdqBxuftGjAGOfURK1iPqLJ9CxQ4cIiIaJnLZfYOksAPHrro6cKruvgiObBKvOgx8UwH+8Ps/wN8wyeLqiGggGOAQkVnZk7SE7AEASAKocvHpjF2ULmTcNYXKMAxkdQPR5l0IHGFVZURENFK0t7dj7bYdCGeTUGQJNS4ZTp+3/wvJEsE993FHZVsgku2Fg51AZusmBjhEFYIBDhGZiLIAJ74nwAm6JEhsr7WNcEkHTrvkwWde3YJUXocGANuux59P+zTboYmI6IB6//33cVWTgbaUGw5DQ3h0A75SXWN1WdSHrg4cyeWGUbL2dLKzA9z8nagyMMAhIpPyKVQJRyHA4fQpeyntwIm7AshoBrr2DjPyOWQyGXg8HmuKIyKiESGVSkGV3Yg5Ch8p2qsnQ+EaOLYV3HMvJ7sUeGQJXlmCzyH1uPcjIvtigENEZj06cAo3Ygxw7CWidP88og4vfA4J2dyeCEfTkEqlGOAQEdEBpaoq8qWr5rs8nG5tY12LGJ914hn4753/KB7PBP3IWVUUEQ0KAxwiMlm95nWs29wC754nM7uchUAn5OYNmZ2UbyPukyV05DQ4BOB1O5HJZCysjoiIRoJIJILAtGPR2pYAcmkgWI+Akw987KorwEmUbX4ANdXL2URkRwxwiMhk3ebNeLI5Vhw31hZ2NAqxA8dWwqYOHB/u+tg4eGQJTkkgN/tUZEaPtrA6IiIaCY455hiEPzMeW3dni8fYgWNfHoeAIovi+oZdhJrs4woishsGOERkoibNf8Q1V+EpTY2HAY6dlE6hej1wCH56+AX40Yljkff6YYQZ3hAR0fCI53TTmB049hZyC8Qc5nWKyjewICL7YoBDRCblAU7eXQhwQi7ekNlJjVuCLADNADZ5R+NG72gsmjMGHgeffBIR0fAQrbuwcNPfcbTmRsyhYId7FKpcdVaXRXsRdEmIyWULTXMKFVHFYIBDRCZnzpiMWc2bkNIMpDQdr4QK3RzswLEXSQjUeiQ0q91PPnenNYz389c6EREND+nDzbh23fLi+MlRR6PKOdfCiqg/QbfUswOHU6iIKgbv9InI5KjZc+Fw6tjUHEM2mcLTkckAuAuVHYUV2RzgqDrG+y0siIiIRpayzo2YrCDgZCeonQXdEnYnEnhwRwdSmo6kpmOiYyNOtrowIhoQBjhEZJI/dSHypy7EN57ajRd3dS9KyEWM7Sdc1hXVktYsqoSIiEaiTCKJ0l6OtFOBLDHAsbOgS8KmWBT3bGsrHvu4ZycDHKIKwQCHiHrVkTYvSsgAx35Kd6JCtBnPr/o3ciENqqpiwoQJmD17tnXFERHRQe+mhx5FZt1HUCQJXlmCqNf7v4gsFXJLUD3VpmNqOmNRNUQ0WAxwiKhXHVnzTRinUNlPxCMX/z16y0t4esUKvO0yAF3D6QvPZoBDREQH1PptH6IjqhbHJ0lOC6uhgQi6BFJlAU4ynbaoGiIaLAY4RNSDYRhozzDAsbvSrcSv3/EYlre8Xxyn2nZbURIREY0gKdX8wV/4q/s4k+wi5JaQDI7BuWOC8MmFzqmI12N1WUQ0QAxwiKjIMAzkcjlkISNTspyKSwK83J7admpL1sDJu32m11Kx2HCXQ0REI4yaTqP08Y7DV2VZLTQwQbeETCCCzpMuxA7Zg0mRapx1ZBh5wwAE7/WI7I4BDhEVxWIxfPGLX0QOEtAhAf5RwOd/jBq3BME/6rYTUbqnUDn9IZxa64fPIcEnS6g/6ggLKyMiopFgycmzEdz0BlKaDlUz8HZV0OqSqB8htwQIgWsO+RwA4OQxbnz+47UWV0VEA8UAh4iKVFWFvHkdJACzdIGqhBcvaVnUuL1Wl0a9KF3E2BUM4/tT64vj9BHTkLeiKCIiGjGm+RU0hLo7QNd5/RZWQwMRdJmnxHdkuPA0USVhgENERelUEsjnIAD4AIzXgYzkQJDr39hSaQdO1FEWsqUSw1wNERGNNHJGNY0lr9LHmWQX5QFOlAEOUUXhpzIiKsrEY5BLxg6nE4aQuICxTZWugROTzQGOSCWHuxwiIhphHJmUecwOHNsLuc1T4st3HSUie2MHDhEVTRs/Fn+bNxk5w0BK07HTWY37AdR4GODYkVMSCLkFOjJGjw4cwQ4cIiI6wFzlAY6PU67trrqsAyeWNZDLa3DIXO+QqBLwUxkRdUurEELAJUkIOh1wKAEA3ELcziKeQs9U1GHehYoBDhERHWjurHkKldvn6+NMsgtZEqhyCTif+jmU+y+D/67z8R+fOB0bXnvF6tKIaADYgUNERUI1P0mLyx4Ae3YsIFsKKxI2dHINHCIiGl7xWAzpzk74ZMAnS1BkCQoDnIoQdEk4rvl15HZtKBzoANJvvgIcN9fawoioXwxwiKhIlC1GmJALixEywLGvroWMOx1e3LipBZuTGSQ1HYn1f8JP5n8ZEydOtLZAIiI6KL22Zg2+/b6GbC4P2dAxZfwkfNPDjxaVIOSWAKd5wWk1HrOoGiIaDP6WJaJu6bIOHEehA4dTqOyrayHjqMOH7WoWm5KZwgtCRSLBLhwiIjowUuk0Wt3VSEiFRXC3R2bi+y7eL1SCoEuC7jZ37qYTcYuqIaLBYIBDREWcQlV5ujpwog4vvHLJz0nTkEql+riKiIho/6iqirxudB9wKahychHcShByS6g78nj8KLBzz/Q3gdyUCchaXRgR9YsBDhEVvfHOu9jdFC3MY5cl7AwWnqqxA8e+IkpXB44XPkfJz0nPM8AhIqIDxuv1wgjWA6oK5DKFAIcdOBUh6BLI+kch7O7+KCjSvGcgqgQMcIio6Nl/vYFVW1qL48ZQFAADHDsLl0yh+sr4Gpw7Jgi/Q4KiKJCPP97i6oiI6GB15plnQrQdBWjdxwLswKkIQbeE7bJ5DRyhJi2qhogGgwEOERWVd2zkXIXdJDiFyr7Ce6ZQJWU3/jb5DLj8fnz+iDDg9SMnyxZXR0REB6usZiBdEt7IAvA6GOBUgpBbwrsOc4ADlR04RJXA1p/Kbr75ZpxyyikYP348Jk+ejM997nN49913TecYhoHrrrsO06ZNQ319Pc4880ysX7/edE40GsUll1yChoYGNDQ04JJLLkE0GjWds27dOixYsAD19fWYPn06li5dCsMwTOc89thjmD17NiKRCGbPno0nnnhi0LUQ2ZlaFuBk3T74HQIumTdkdtXVgQMhcOnUi3FN4xeQW/gV5D5xDiD4cyMiogMj1dKM46Pv4WOJbZiktmC0UCH4d6ciBF0SYuUdOGl24BBVAlsHOC+88AIuuugi/O1vf8Pjjz8Oh8OBz3zmM+jo6Ciec9ttt+HOO+/E0qVL8eyzzyIcDuPss89GPN69kvrFF1+MtWvXYsWKFXj44Yexdu1afP3rXy++HovFcPbZZyMSieDZZ5/F9ddfj9tvvx133HFH8Zw1a9bgwgsvxHnnnYfVq1fjvPPOw/nnn4/XX399ULUQ2dm88fU4q64Kp9b6MTfkg+6vRchj618TI17XIsZddqs69LLwmYiIaKiJf72If771E7zx+vew6dWr8NP3/2h1STRAQbdU3KiiS/lGFkRkT7aeQvXII4+YxnfffTcaGhrwyiuvYP78+TAMA8uWLcO3vvUtLFy4EACwbNkyNDY24uGHH8YFF1yADRs24Omnn8bKlSsxe/ZsAMAtt9yC+fPnY9OmTWhsbMSKFSugqiqWLVsGRVEwY8YMbNy4EXfddReuuOIKCCGwbNkynHDCCVi0aBEAYOrUqVi9ejWWLVuG+++/f0C1ENndwtkzYRgxpBNJ+LU0vlozmuvf2JziEAg4BeK5QmiTN4BoRkeNh9OniIjowMklE6Zx1uXt40yym6BLQlQXeK0jhaSmIaUZcKW3Y47VhRFRvyrqk1kikYCu6wgGgwCAbdu2obm5GaeeemrxHEVRMG/ePLz66qsACp0zfr+/GN4AwJw5c+Dz+UznzJ07F4rS3Up42mmnoampCdu2bQMAvPbaa6av03VO13sMpBYiu8t+4XL89Tu/xagT7oP7pN/gwchcrn9TAWrLuqRa0rpFlRAR0UihlU27zrsZ4FSKkFsgpqbw3Xd34icbmnHT5hb8bsMOq8siogGwdQdOue9+97s44ogjcNxxxwEAmpubAQDhcNh0XjgcRlNTEwCgpaUFo0aNMs3JFUKgtrYWLS0txXPGjBnT4z26Xps4cSKam5t7/Tpd7zGQWnqzadOmAfyXD96Bet+hZPcaR2p961tkAG5ACBgQcGaT2LSpo9/rytn9+wfYv8aB1heAG4AM5LNAdBee/NvbWOdIwuFwYMaMGZbXZyW718j69l8l1NjY2Dgk78N7BvsaifU9+vdnMPqjVvhkCV5ZQud0fZ+/jt2/f4D9axxMfdG0QEIJmY6lslls2rgBEAfmwZ3dv3+A/WtkffuvEmrs756hYgKc733ve3jllVewcuVKyGU7q5QvmGYYRo/Aplx/53QtYNzfOeXHBnJOqaG6qSvVNTXMzuxe40iu75lcAkBncTyhthqNjcFBvYfdv3+A/WscTH0NH7ZhbTwNtO+E9NAP8UhAwiingYmHHFKc0mllfVaxe42sb/9VQo1DifcM9jRS63tp8xYYHd2bgpzl9e3T17H79w+wf42Dra8uq8N4cTM0CMgofOZJaToax48HlKHvpLL79w+wf42sb/9VQo0DUREBzpIlS/DII4/giSeewMSJE4vH6+rqABS6ZMaNG1c83traWuyEiUQiaG1tNQUphmGgra3NdE5XJ03pewDdHTV1dXW9nlP6en+1EFWC9ox5+k2QU6hsr2sh4+81rcSLnRuK+ZtaEb/hiYio0hiGgXQmA3fJMVd1qM/zyV4CTgHJpWBGTTUiIgefLMEnS0AqcUACHCIaOrb/ZHb11Vfj4YcfxuOPP45DDz3U9NqECRNQV1eHVatWFY+l02m8/PLLxTVvjjvuOCQSCaxZs6Z4zpo1a5BMJk3nvPzyy0in08VzVq1ahdGjR2PChAkAgGOPPdb0dbrO6XqPgdRCVAk6ytZP4SLG9hdWCj+jtKfKdDyV4o4SREQ09LLZLAxNK44dAnAGqvZyBdmJEAIhjwNHnfqfmHriOag68b/whUsuB9zu/i8mIkvZ+vnsokWL8OCDD+K3v/0tgsFgcZ0Zn88Hv98PIQQuvfRS3HTTTWhsbMSUKVNw4403wufz4dxzzwVQ2C3q9NNPx1VXXYXbbrsNhmHgqquuwhlnnFFsoTr33HOxdOlSXHbZZVi0aBE2b96MW2+9Fd/5zneKXTvf+MY3sGDBAtx8880466yz8OSTT2L16tVYuXIlAAyoFiI727VrF374wx/itahUaN0I1QOnXMAApwKE9yxinFJCmOR1Fdcj8I+rt7gyIiI6GEmShIsOmwxf2w6omg4NALw+q8uiQQi5JVw29aLieNanI5jqd1pYERENhK0DnPvuuw8AeqzhcPXVV2PJkiUAgCuvvBKqqmLx4sWIRqOYOXMmHnnkEQQCgeL59957L66++mqcc845AID58+fjhhtuKL5eXV2NRx99FIsWLcIpp5yCYDCIyy+/HFdccUXxnNmzZ2P58uW49tprcd1112HSpElYvnw5Zs2aVTxnILUQ2VUyHkfzK88jmAemGxKC1SG8fPL53IWqAoT3TKGKuQL49dENxeO5OUcjY1VRRER00HI6nVgwOoh6JVk89msvp95UkqDbvEZnR4Y7WBJVAlsHONFotN9zhBBYsmRJMdDpTSgUwj333LPX9znssMPw1FNP7fWchQsX7nVB0IHUQmRXqc4OIJVAFYAqAIdmNbwsBDtwKkBkzxSqTof55lmkElaUQ0REI4Arq5rHfr9FldC+CLnM93fRLAMcokrAT2ZEBABIlwWmDqcLANfAqQQRT6EDJ+owt68zwCEiogPFkzWvs+b2sQOnkpRvUtGRMSyqhIgGw9YdOEQ0fI6cMgm/PLoBKU2Hqulo8YWxDECNhwGO3dXu6cCJsgOHiIiGg67Dm0+bDikBroFTSYLlHTicQkVUERjgEBEAwKNrqPG6iuM3/GEIAFVO0fdFZAtVTgG33DPAAQMcIiI6EDLm6VNJyY2Amx8rKknQLQFvPwtsfQPIqvjDXzOY8fX/wkmnf9Lq0ohoL/iblogAAKLsZiwhexB0C8gSAxy7E0Ig7JHRkeEUKiIiOvCMZAKGYRR3a405FFS72LFbSYJuCSd8sArG209DRqH7Jv53BWCAQ2RrDHCIqEA1z2WPyx6uf1NBIoqEHQk3/taSwFvRJJKajqSmY8GLL2D2x4+3ujwiIjqIPPb0M/jpG51wyRJ8soTpE0fjh+zYrSghl4DsdMNA99SpVJwPfojsjgEOEQEARLoswHEo3EK8goQ9EiAE3kzp+MfuePH40ds+ABjgEBHREFINgU2ecHG8JjwXP3PynqGSBN0Scm6f6cNgKpns83wisgcGOERUUBbgJGQ3O3AqSFgp7EQlXIrpeCraYUU5RER0EIsmzPcMTo8HLpkdOJUk5JbgnXg4ftQxGj6HBK8soXr6BKvLIqJ+MMAhIgDA+1s/gNapQpEleGWBKJzswKkgkT07Ueku80LGamenFeUQEdFBrDNl3oHKq3AL8UoTdEnIBcdgdk33+nmaoUHdyzVEZD0GOEQEAPjNM8/jtXc+Ko4nV7czwKkgYU+hA2d83Wgs0trgkwtP00bNmWVxZUREdLA5+6uX4HrfWUAuDWRV1NQGrC6JBinklhAr371S5RQqIrtjgENEAIBUytwOnXX5Uc8Ap2J0deB8NPZIRKqqIVUHcOTEUchNbixZnpCIiGj/xXMGIDsA2Q94/AhWOa0uiQYp6JIQk83TrkXZhhZEZD8McIgIAJBOm5tms24f18CpILV7OnC+f8jnAQBzIi6sPDO8t0uIiIj2STKeQFU+hYTsgS4kVHEB44rjcQhky9bNYwcOkf0xwCEiAMAhQT88AQ9UTUdK05FWqhngVJCuDpwuu9OaRZUQEdHBbuIzf0T7Cw8BABKSG3+c+QUAX7W2KBo02eczH0izA4fI7hjgEBEAYNFxh8PhThTHnwmO5ho4FaRHgKNy4hQRER0Yekmnhl/PwO2QLayG9pXb7cKunIFMLoeUpkPVUjg0lwWcLqtLI6I+MMAhIgBA+pvXYv4j27CjLYGAlsZ2dw0WMcCpGCG3BFkAmlEYx3IG0nkDHge3dSUioqElyjo1DA93oapEQbeE/3ztAziN7q7dP6tJCAY4RLbFAIeIChwObDO82OnxFA/VeBjgVApJCNR6JDSrOqDrQFbF+u1NCIksJk6caHV5RER0EHnunXexoyUGn0OCIklAyb0DVY6Qx4Gk7ADy3QFOuqMdSlXIwqqIaG8Y4BBRUXvGPO2GU6gqS1iR0ZzSgGUXATBw1Z+d8DuAxx5/ArLM9nYiItp/hmHgt6+/BW+2exrVRT6/hRXRvgq5JWSdLuTzmeIxtb0NyoTJFlZFRHvDAIeIAACpvI7SdW+dEuDn9JuKEvFIOCqxDcHkFmTzOTijGqD4kEqlEAgErC6PiIgOAqqqQjK6H/h4JAFX+WK4VBGCboG01wfFSBe6qWQJRtmupERkLwxwiAgA0JExTOMatwQhGOBUkrAioVnICIs8Wrrms2saAxwiIhoyqqpC6N1PfLyyBCcDnIoUdEmYedJ8HJPYirisYFTQj/Do0eA2CET2xQCHiLB9+3bceM+vgC0a4FKA0BiETvik1WXRIIU9MjodXvgdEhKagwizMQAAIABJREFUBJ8swas4oWncUpyIiIaGLMtYMKYGIp1EStPhkyW4/QxwKlHILeGi6d8oji+Y6sUtE7n+DZGdMcAhIrQ17cR7f3kYkzKAJiRU1TUgcPqnrC6LBimiSIg6vLjnqPHF7inD5UFyzBiLKyMiooNFMBjElYfUwpfvXvfmnwxwKlLQZV7rMFrWjU1E9sMAh4igdrTDE2tDw57xx5IatnAB44oTVmQkZA90IUFG4SZMZNNAPgc4nBZXR0REBwVdhy+fNh3yMcCpSOWbVXRkOXmKyO74CY2IoMY7TWPJ4UINA5yKE1EkQAhEHWU30qlk7xcQERENVsa8yG1c9qDKw2fClSjoLu/AYYBDZHf8bUtEOHJSA34wtQ6qZkDVdCRrRuNNBjgVJ+wp/MyiDi9G5RPF4yKVgFEVtKosIiI6iAjV/FAgJisIOLnpQSUKlU+hYgcOke0xwCEiRLwKJtR271K0unoMtjHAqThhRQZQCHBKiVQCnNVORERDQUulTOO47MEYBjgVKegWQNNmYOsbQDaFJi2NvwWOxxlnnGF1aUTUBwY4RASky9uhFdR4GOBUmto9P7POsilUIpXo7XQiIqJBS8eTqCoZJ50KJMEApxJVuyRM//BluJ+/Hw5Dh2zoeN94B2CAQ2RbDHCICCLd82la+c4EZH9OSaDGLWGjqqHtow4k8zqSmo6Jq1/ASYfPsro8IiI6CDy06nn8dX0SAQnwSwYmHWpgqtVF0T5xSAKjXDJkrftBXqKzcy9XEJHVGOAQEVAW4CRkD8ayA6ciRRQJmxJprPigrXjs5HfW4SQLayIiooPHBxkDf9eDwJ7lUsaOOQnfsrYk2g8iUG0aJ9VUH2cSkR0wwCEiiLIpVAmHh7tQVahaj4Sc2286lkrELaqGiIgONp1J8z2Dz+vt40yqBP7RE/HFCaPglSV4ZQnVY0dbXRIR7QUDHCJCrL0NSl6DV5YgCYG4rCDEAKciRRQZGU+V6VgywTVwiIhoaMST5g4Nv1exqBIaCr7R4/H5caHiWPXK0Cysh4j2jgEOEeFHDz2G99ZtBQC4JYEx1Z3swKlQYY+ETHUE54yuhk+W4HfIqD280eqyiIjoIDHvs+fj4eCpQE4FsmmMnjLd6pJoP7h85g4qOZ1igENkYwxwiAjJVHc7dEY3oHl8cMvcUaISRRQZG4Njcc60RkQdXiiBAEYfdyxyVhdGREQHB38NEOl+yFM7ilOoKpnbZ9650plRkdV1QOKDPCI7YoBDREioadPY4avq40yyu7Ai4Sd18/Bg3TwAwOcmK7j7xBqLqyIiooNFLKubxlXctbKiVStOJCU3fHoGACBgAJk0oDCYI7IjBjhEBI8Q8MoSVE2HAcBZtiMBVY5w2e5hrWm9jzOJiIgG77S/34mvbHwNMVlBwuHBhpovA9zrsGIFXRJiDgW+bKZ4TKhJGAxwiGyJAQ4R4dbTjkPt1rdhGAbSuoHvh2qtLon2UUSRTeMWlQEOERENHW+8HQ2ZtuJ4l5HZy9lkd0G3hJisoN7oQFY3kNR0yIkY5Jqw1aURUS8Y4BARnp9/BW5/aTsCWhr+fBpK3USrS6J9FFbMHTi7VS5FSEREQ8eRMe9C5WSnRkULuSVc86/30Nmxu7h48Z0fbsO4hsmW1kVEvWOAQ0TYGhiL1UF/cXxh0LeXs8nOwh5zB87utA5N1yEJASG4MDUREe07XdexpakJrkQGiizgkyU4/P7+LyTbCroEssK8dbja2WFZPUS0dwxwiAjtGfM0G24hXrkUh0DAKRB/4k5g12ZoWRULHtJx+60349BDD7W6PCIiqmDxeBxLX3kTbi0LAPDLEr7t40OfShZ0S5CcHtOxVDRqUTVE1B8GOESEjrIAJ+RhgFPJwh4Jc3e+iObdO+HQNbg7dKR2NwMMcIiIaD+oqgpJ775n8MoSPAEGOJUs6JIg3AoAwCkKXVW6murnKiKyCgMcIuoZ4Lg41aaSRRQZk7UYMvk9N2A6kGpv2/tFRERE/Uin05CN7sk2iizg5RSqihZySzhh5sdxxdgs0k4FcYeCmmmHIm91YUTUKwY4RCPcjh078M7f/gIkHIDLAwTrUOP5uNVl0X4IKxJQ1g6diXVaVA0RER0sJAEcGXAjpelIaTrq3E74/IrVZdF+CDgFfjj9fFw9/SLootCB3TJ3DFwW10VEvWOAQzTCfbBxA9S/3oeILkETEjwTjkDNJSdYXRbth7BHxmnTZuCaegGfQ4JXlpA58jBwPyoiItof40eNwq0fG1ccx2QPsm5+nKhkQggoHjfUkm7saFZHRJH3chVVqlhWx//+K4YWVcP/+1gAR9Uyqqs0/I1LdIA1pzRoBjDGZ88/hOnWZkxINBXHM6N5LmJc4cKKBN0fQl3a2X0wlbCuICIiOijkUua1URKygoA9b29oEEJugfZM97gjwwDnYKTpBj73dBtebi4sQv70jgxeWBjB5GpGApWEn9KIDqC71iUw/aFdOHzFLlz/Zmz/3zCfg/OJ32Hs3/4Asbup//MHQO00T60RTjdCDHAqWkSREHV4TccEAxwiItpPybj5b0nCqUAIrptX6YIu831ftGxtRDo4/GJ9shjeAICqGbj8hQ5ourHvb2oYcKx6HOOe+h2kre8NQZXUH8ZtRAfI800ZfH9NJ7p+JV7/Vhx1iowLpu3jbg2GAc/t/wPHWy8hAsB493WkfnIvjFF1+1Xn5NF1+PK40J757AacNbU9/pBTZQl7ZDQzwCEioiGWjidNY9XJ9W8OBuUP7jqyDHAONps6c/jJv3quh/hKSxbL3k3gisMD+/S+rj8ug2vlQ/AAMN56Aer3boM+5bD9rJb2hp/SiA6A3YkMvvbI2yjPsxe9EsVzO9P79J7OfzwCx1svFcciGYPnFz8F9P1b2WRCJILzJ4zCZYeEsagxghkNEyFLfJpWycKKhKjDHBQywCEiov2VTpr/lqSd3j7OpErizcWB914E3n4G+NeTeOHZZ6wuiYaQphu4fHUU6T4+Mlz7Rgwbo7lBv6+89lW4Vj5UHAstD88vrgWymb1cNTipVAptbdxJtRQDHKIhpus6Fn73Z2j+zf8AW980vaYZwFdWtWNz5+B+SUofvg/Xg7/o+bVCo4BctpcrBi5V9jQt6/L0cSZViohH7jGFimvgEBHR/someM9wMAo1bUDjEz/BtKeW4vCnb0HLb26yuiQaQnetS2DNbvPnhdJm+7QGXDbIqVSisx3ue6/vcTx77sWAy73PtZbauHEjrrzySvzf//0f8nlubN+FAQ7RELvq57/Bu688B+SzwF9/Dvz774DR/QuxM2vgP1fuQsdA5xdn0vAs+zFE3hz6ZD/zVWQu/SHg3r/25XTCvCBh3sWnaZUurEhoNRx4vSOF51oTeKo5hn/++x2ryyIiogr3zOv/wpItMVy/NYp7PmjD+8mhe9JO1gkrDozJdqAu14lR+QSkjharS6IhsiGaw7Vl63B+arwHtx8fMh17fXcOd6wb4MM+XYf73ushxTpMh9Nf/z7yc04bdI0fffQRMpnu3yWGYWDFihVYvHgxmpqasGHDBvz+978f9PserBjgEA2h59ZuwG9/97uSIwZCG1fh6sP2bNGXzwLP/QZbfnMdvvLMbuQGkHS7/3AnpJ3bTMd2nrQQ2bMvAIZg4cBM2Y4Suofz2StdwCnQkc3h6nd34scbduHGzS347Zq1VpdFREQV7uWkgZ+po3BNKozLEvX47YQTrS6JhoC/psY0zmT3r7ub7CGvG7hsdQcyJVOngi6BW+cF8Z+HKDizwdxB99M3YnhvAFOpnH//ExxvrzEdazr+LOTnfWLQNTY3N+O73/0urrnmGsRi3UHTe++9B03rLnzFihV49913B/3+ByMGOERDJK8b+OmHNdBO/DIgCv/Tkjx+/Pqmn+C7x4XxaX8bsOLHwDvPALs2YfXjK7D45SgMo+8QR379eThXPWE6ljthPppPOGvo6i4LcMAAp+IJIeAImm/GEqpqUTVERHSwSCRL/pYIwB+osq4YGjKj6iI4tdaP/6ivwufHBvHZ0fy5HgzueCeBf7WaA5kb5gRR75UhhMAt84KoKVnAOqsDl67uQH4vD5ilbZvgeuhu0zHt0COw68TBfzaJx+P4n//5H3R0dGD9+vVYvHgxdu3aBSEEvvnNb6KmJFhcsGABJk+ePOivcTBigEM0RG5aGy/MLz38VOCsqwBPAFddvQQnTJ8AIQQaNzyBqsTO7gtefxy/+ueb+MW7yV7fT7S3wLP8Z6Zjet04ZL7030Nat5Yq+/oeTqE6GLhDtaZxKsM2dyIi2j/Jsoc+QT/vGQ4GNTU1uHrqGFw5OYKvTazF50cHgPzgF7Ul+1jfkcP/lU2dOrPBg/MO6X5QG1Fk3Din2nTOm6053PZ2H1OpMmphWQetez0aw+tH+hvXAJI86Bp/9atfYceOHcXxRx99hGeeKSygXV1djW9/+9uorq7GD37wA1x66aVwu4dmbZ1Kx23EiYbAay1Z3PBWvPtAwxE4fcntuGbBmOKhb15xOd5591089/5uZDQDqKoFZCe+/1onplQ78IlxJW2MugbP3T+FSHa/pyE7kL70B3sNWByvPgutYQqM0Q0Drv3GRx+DvOsDeGUBRZYwexYXCTsYKKPCOLpagU+W4JUlOH0BGIYBMQTT7oiIaGQ65NSzsSY0C8ilgVwG9WPGWl0SDYGQR0bMoaAmX/JQL50C/NV9X0S2ldMNXLq6A6W7wde4JdwyL9jjPvDsSQoe26bisQ+6d8m9/q0YPjXeg8NqnKZz3b+7A1LTdtOx9IWLYIyqA9rNYREAIBmH+9e3In/iAmiHzezx8oUXXoimpiasXVuY5n/88cfjC1/4QvH1o446Cvfddx8UhbMDSjHAIdpP8ZyOS55vh1bSbRj2SFh2asT0SzIYDGLJ4kVoXXIN3gnPQvb4LwMuBboBXPjPdvz9zDCmhwq/KJ1P/h7ye/82fZ3suRdDnzS19yLSKbh/83M4X1gJbcKhUH9wB+B0Daj+aCIOPdsd2hzv5dO0g4Gvqgo3Hl64sU5KbuSqaxjeEBHRfnE3zADSE4vjMXVB64qhIRN0S4jJ5gBHqCkYDHAq0m1vJ/BWm7mD6sY51YgoPbtkhBC4aW4QL+5qQWu6kPjk9kyleubTYTilwr2j/No/4XzuL6ZrcyedCe3Yk3utQdr0Djy/+Amk1mbI772F1LX3AwHz7wufz4f//d//xS233IK2tjZ8+9vf7nGvyvCmJ06hItpHhmFgx44dWPJqJ7bGNdNrdx4fQriXX5JHH3007r3z5/jddUsgleweFc8Z+PzTbWhNa5A2r4Pr0V+arssfNgu5T/1n74XEovD+8BI4X1gJAJC3bYTrT/cP+L8jUza1JhDkH+uDQVWVF/XzlkE58QFUn7gcP/vq3f1fREREtBfxnHltjICTDwYOBiG3hJjD/EFZqL1P8Sd7W9eew9K3zN0wCyd6cPakvoOQWo+Mm+aaw5W17TncvLYwE0C0NcOz/EbT6/ro8ch88Ype30+0t0C57luQWpsBAFK0DZ77bjDtytvF6XRi8eLF+NGPfgSXa2APn0c6BjhE++gPf/gDPnfxZfjtU/80Hf/aNB8+Od7T+0UAJk+ejE+M8+Cnx5qDkm0JDV96ph35ZBLw+ovHjUA1MpcsAaQ+/ucaqIY+/hDTIddTD0J++7V+/xsMw0C2bKeB6lCoj7OpktQqDrS6qpCTCo2Wu9UBbltPRETUhy+8dB8eX/sz/G7d7Vj2/9u78/CmqvSB49+brftOaQu0LC1QoOyDIKCM4AI6iIoo6KiDICro6CiOuDKgIwJuqLiCOqMIOAwKuOFPZNgFFNlkKy2U7i3dt+z390cwbZoAbSkk1PfzPDyQm5ObNyTn5s17zzn38CLiKvK8HZJoBuEGDZXaerlr/TUShc/7beqUpU7KF+Wn4aVB7lOn6hvTIYCx9Yo883dXsLfIjG7nBpTq2nVxVJ0e4/3Pgp/nopAa2RrLteNdtul2b0X3wyqP7RVFafRIm7S0NFasWNGox7QUUsARognWr1/PRx9/yuEiI6x9C37+ElSVrmE6Zg9o2AiW+7oHMbGr63SlHwvMTC1Louq5xVi79wPAOHkGanjU6XekKBgnTsceGe2y2e/9F1DKS84ax+tXXMKn/duzqE88b/RsR0i4XHmgJWgd4Hp4LzTaTtNSCCGEaJjkgoNcW7ybWwt/5J7c9YRb5Ud+SxCgU6jUu/6ANlXJe3uxeWVvBXuLXadOvXxpuMdZAZ7MHxTmkj9aVcdUqqqrxlEz7R+ogUEAmMdNwd6+8xn3Zb7hL9gSuzlvH64wYv/kTTRZ6Q19OR6pqsrnn3/Oo48+ykcffcSOHTvO/qAWRgo4QjRSYWEhry1YwOEyC9bfhgLu/hadsYz3h0UQoGvYcGJFUZg3KJzL406tqG6zQPoulqXV8FqWP8bHXqLm7y9h63Pp2XcWHIrx3qdRldourSkrwW/RXI/DFevG8H7XW/hnymQWpdzBqpRb8W8d06D4hW+r/2UtI3CEEEKcK3+z0fV2cJCXIhHN7au0E9y3O5M7fs5g7PZjbNj+k7dDEo2wt8jM/LoXVAFu6hjADWeYOlVfpL+WV+tNpfq1xMr8PRXYLvkj1c8txnzdbViuHnv2nel0GO97BtU/kPQqE9N/zeGRXceoeuVpMDf9yqhvvvkmixcvxmp1rN/52muvUVxc3OT9XYykgCNEI0VHR9Nh9CTKrKe6j0YHo/7Ks5cl0CuqcXM39RqFf10RSYIlH1Y8B9+8Dhl7mfVzOV9mmrD1+EOD92VP7o3l+j+7bNPt+RH9/6084+OWRfTnrXZXM7f9GJ7pdAuhraPP2F5cHOqPwCmokRE4Qgghms5ut6PWlGO1154YCgyRAk5LUWS2klplIsdoodRqo6Sk1NshiQYy21Smbi7FWu+CKvMHNX5dy+vaB3BLomvR55W9Few+aUZtFYv5limnX9ahHrV1GzLH3M2MX3OottlJrTLx8NqtFLz9YqPj+s1VV12Fps7zl5eXs3nz5ibv72IkBRwhGmlfsYWlun5w/aPgFwQjJnNZvxQeSAk++4M97W/7Ztp+9RzaolOX5Vu3CLW6jCkbS9hTZD7zg+sxj7kTW1KKyzbD8nfQnDjqsX2NVaWmzuWzdIosSNhSRPtr4NcNsOYV+O8/ObHoCf73v/95OywhhBAXqZycHO7etJdrtqUxcmsa0/ZkEhTctNxH+B59gOu0/sryMi9FIhrrpb0V7K83deqVweFE+Tds6lR9cweGE1PnRKBNhambSjDZTj+q/3Q+PJjByYDa5RnyTFb2fPk52l1bmhRbcnIyt99+O+C4itWMGTO4/vrrm7Svi5UUcIRohBqrypQNxZjtQNtu8Od5hKdcytuXRaBp4iWaYzKPoLMY6RahO/Uk5bBtBdVWldu+LyavuhEjJ7Q6jPc95ZyjCqBYLfi/NRtMRrfmJSbXaTWR/hq51HQLEeGnoU/WdhIP/R/JaRtIPr6Ngp1bvR2WEEKIi1RVRQUaHD/gLKqKRYXgYLnEb0uhD3QtxlWWV5ympfAlu0+aeXmP63s1rlMAo9s3vW9GluTw2qWuo3cOlFqZV+/qVg0xdepU+l17PegdsxRujAvjhrgw/BfPRSkubFJ848aN48Ybb+TNN99k6NChTdrHxUwKOEI0wsyfyjhYaq3d4B/Ea4MjaBesa9L+tL/+RP/vPuEupYwISxVJoTpIugSGOlZuz662cfu6ImqsDa94q9FxmO56xGWbJvcEfksXurUtrlfAiTDIIaGl0CgKvezFtDMXE2MpI8paSVlOtrfDEkIIcZEqLnJdZ0Kn06PVSt7QUvTp2Ze3erXjX/0S+M+ADlzVrYu3QxJnYbKpTN1UQt2BMTEBGuYObPzUqd8oeZkEPjuZG9fMZVK86++EV/dVsquwcbMDAgICePofsxgxbgKXtQphasdWKIqCUlmO3/tzwN74NRo1Gg2TJk0iOvr3ueyDHHWFOIuCggIAvs8y8t5B1xX5JyQFNmpxMBflpfi9NweAO6L0DKzIZd6Ifkx5aLpjatYpP5+0MG1zCeoZFiOuzzpoBJahI1226devQfvTRpdtaZm5kPYTnNgPuUcJMZ39qlXi4qEPCnG5XVbW+DMnQgghBEBlRSVBWg2/jdPV6hu37p/wbVmXjGb8Fa8y7I9vkXzFItZdPsnbIYmzmL+7ggN1TywDrw4OJ7KJU6ewmPF/6zkUkxHdzg0s/OpRrjcecd5tP3VVKmMjTiwD6HQ6Hpz1PI898YTLjAXdgV3ov1nWtFh/x5o2bECI34kfvvgvr3/4b+687wFmlLmuLdM+WNv0Creq4r94HprSIgC0isILPdpguulmLu8aTnqFje+za1doX3mshi5hOmb0bfglvk13/BVt6n40+VnObf4fzKe6YzJqVGsA9v60g9AvX8OmaLCiwTzoCpgws2mvSficDknJ/OXkToK0GoJ0Gsp6JHs7JCGEaLGUk3mokdGgaeKPJx/XuX1HVg/qhKqqmO0qR4LivB2SaEa6iEj2Beudt4ttcp7fl+0qNPPqPtepU+MTA7g2oelTpwwrFqHNqC3Y6IoLeDqujNV1zu8eLrMy55dyZg1o3G8gRVFQR/8Z66Hd6A7sqn3O/y7GltwXe51Ljp8rk8mEn59fs+3P10jPFL9vlWWnvZTd3j17WPjU46ip+/nnU09zcv1nzktyaxR47/IIQps45Uj//efodruuR2Id/Wds3fqi0ygs/mMkyeGu9dUXd1ewMr264U/iH4jx/mdQtXX2YzaiOX649mZeJn0rj/OHinQGVRzlpmPrmvR6hG8Kj23LpZFB9AoLIDHIj2C75ewPEkII4dkZcgbsdgJe+juBM+5Ct+ErsLa8421NpWMUsqIo+Gk1KIENP6kkfF94vZy2xNT4BWvFhWG0qkzd7Dp1Ki5Qw4sDw0//oLPQ7tuB4dvPXLZZBwyjy5gx3NHZdYHrN36tZEeB+7Fw9+7dVFZWnv5JNBpM9zyBGlx77LC364Qa1DyLoauqyurVq7n77rvJy8trln36IingiN8lpbgQw6cLCfrbreg3fu12f3V1NXMen47VZASziXbl2Qz+3wLuOPgZ/jYzj/UOYWBM0yq7msx0DMvfdtlmS+yG+Ya/OG+HGTQsuzKKKD/XLjp1cwk/N2Luqb1jV8w3T3Y8R9sO1Mx8F1v/y5z311+gzs9fFiNsSfQhrlOoqDrDl6oQQgiPlJKTGJa+RdAjnnMGAO2uzWhyT6DJz8L/g/kEPnYb+u9WgKnmAkd7/liqXKeRmwySM7Qk4fVyzlJz49cmERfGi7vLOVRv6tSCwRFu72FDKeUljvVo6rBHxWCcOB0UhecvCaNdUO3IQrsKUzeVuqzRefjwYf7xj3/w+OOPU1h4+sWJ1chojJP+jqoomEfeQs0zC1Fj45sUd12lpaXMnj2b9957j7KyMl5++WVstkZcCOYiIgUc8bui5Gfj9+HLBD52G4a1/0ExG9F/vQysrgfBwIAA/tYmCH2deZozEyP4sGA1J3Y8zNNZa6C6CT+GzSb83p6NYqk9M6f6B2K87xnQuY646RCi4+PhkejK82D1S1BRhNEGt60rIs/U8CtFma8ZR9n4Bzj86EJ2BbRjQ46RL47V8OGhKqoIZHBkEH3CAkgO9iMyrOmLngnf4x/sWsDR1lSdpqUQQoj6nDnD9AkYvv0MxeQ5Z0BVMaz5xGWTprgQvyVvEvToePSr/g1VF/8VfcxVrqOALX5SwGlJIvzqj8CRAo4v+qnQzOv7XX+D3N45kKvj/Zu2Q1XF7/0X0ZTVzpNSFQ3G+56CU2sphhk0vDHEdXTP0XIrz+9yrK14/Phx3nnnHaxWKxkZGUyfPp3jx4+f9ilt/YZS/cJHmCdMdV6d6lxt3bqVnTt3Om8fPHiQpUuXNsu+fY2sgSN+FzSZ6ei/+hTdjz+gqK5fSJqifHQ/fo+1zqK/GouZIYMGMq80n38cyObmNuFcEe04iEWaymDF+6hff4plxI2Yr74ZQhs2ZNFv6Vtos4+7bDP95RHU1m3c2qqqSs2vm+ny7ZscKKyE/3sXbnic/Bp49IAfs8NqKDWplJjslJjtlJocf0pMdkrNdkpO3VdqtmNTL4XVpW7PcUtEB57rVjuHPTVZrjjQkgSGuQ5v1xtlBI4QQpyNJisd/ZcNzxkUqxl7u05oMtNQ6p3xVSrK8Fv5AYavl2EZPgbLNTejhkddkNfR3OzVVVjsKnqN4ySS1RB4lkeIi0mIxg6FGWAxgrmGrCIFrrnW22GJOmqsjqtO2etMnWobqOWfjVyPpi79//0X3d7tLtssY+7A3qWXy7Yr2vozsWsgHx6uLeS+9Wslf2rvz4Zly6ipqSEgwFHULSoqIiMjgw4dOpz2edU27ZscsyejRo1i586dziJOYGAg8fHnPrLHF0kBR7RomrQDGNYsQffLFo/3V1hs/Iof1QeOcEmdZMxu8OOZ/lP5r3UU93X4LzcWbQNcz7gp1VUY1nyCfu0KLH/8E5ZRt6BGtj5tLNqfN6H/YZXLNsuQa7BeeqXH9jt37uTVV18lUgvtgrRk5R6Bn7+EAWM4UqVh/PfFHh/nkdUMOUcg64Dji3nYnQCE2FyHdusCJRlrSYLDXUfgBJhkBI4QQpyOJu0Ahi+XoNvlOWcAsIdHgeI6UkHV+2G6ZwbmG/+C/tvP0P/vSxSL63RnxViN4eul6P9vBZbLr8My6laKQlqTVm4jrdxKWrmV9HIrxyqsaBToFWmgTys9fVsZSA7XOYsm3rBz50527NjBpjVfYVUquLq14+SAzV9yhpbE31JJm4//ila1o1Pt+Bt0MF0KOL7khV/KOVLm+nvk9aHhTZ46pclIxbD8XZdtts4pmK+/w3m7urqatLQ00tLS6JiTR3z0DWRWOgrVKjBtUwnfP/Az3gbxAAAgAElEQVQQhYWFHD7sWGfzrrvuYtiwYU2KqakUReGhhx7iwQcfJDY2lunTpxMTE3NBY7hQpIAjWh5VRXtgF/ovl7iscl5XRrWZZ4+VcsI/DDUshPhfDnJJnft3lWl4dV8lakA0T/S8j9dM43mj4v+48eh3KEbXIcSK2YjhuxXo132Bdeg1mK+bgBrTzrVNcSH+i+e7bLO3boPpjodO+zIGDBhAv3792LVrFx1CdFRbVYqLsh0LKSuNSOSqy+Bfj4L91AFfo4Mh40FnINriOqS7dWQwsmRdyxEaFkyx2UqVzU6V1U5xeQE9VRWlMZ8fIYRoyVQV7cFf0K/55LQ5A4A9Og7zdROwDrkGDJ7XwFNbxWL+81+xXH8H+rWOvECpN3VVsVgwrPsCzQ+r2dB6MPMSRnMwqJ3bvn4qtMCpaw74a6FnpJ4+rQz0jXIUdbqE6dBeoKLOzp07+eabb1ArKyjxs7Emt4wArYYqm2QMLUlseDCda2oXflVMoNpsKNqWeVW1i82ecg1v1ps6dWeXQEa0beLUKVMN/m8/h1JnwXU1MAjjfU/DqQugWK1WbrvtNqx1po3Oe+VmJmypHWmYXmFj7n4TU6ZMYf369djtdm6++eamxQRojh9Bm7ofy1U3Nfqx4eHhvPjii8TGxqJtwZ9bKeCcB4sWLeL1118nPz+f5ORk5syZw+DBg70dVstnt6PdvQ3Dmk/Qph+k1GJFpygE61w7sK1tB4KvHMuJV951FisyMzOprKwkODiYUpOdmUcMLoUMbUQkAyb+lSrrJPTff47huxUoleUu+1VsVvQbvkKpKMX40D/rxGXD770XUKpq26taLcb7n4WA05+9UhSFRx55hGnTpmE0GnnlyWnMt/Tj1xKre2O7Hawm8LSgYGAY2pBItBWF6DSg09jppWYwNCqc5//nutq8PiCQhi+RLHxdVFgw43/KwKbWfpo/q67GLyjIi1EJIYQP+C1n+PITtGkHT9vM1qYDltG3Yx14hfNHTX3VNthTZCa93HpqRA2kB95AweDh3JK+loeyvqW1xTVn0Kl27sjfTJi1mpt6PnrGUI022FloYWdh7Q+tQJ1C7yg9fU4VdPq20pMYqkPTwAK9qqocO3aMQ4cOcfjwYQoLC3nhhRdcn9eqUmC0oY1NpNhkJ9cewJ0lBnTY0KoqT/a+khENejZxMWgVEoBWo8Fmd0wbVIGaslICIy/OKX8tSbXVzux6v03aBWl5/hymTtk/fI39hw5zpNJEuwA9gyKDMP1lOmqrWGcbnU5HfHw8x44dc26LrcrknuSOvH+otjj97sEq+vbUce+99wI06URhjdmG+vVntFq9GMVuY7OuDcaufYny1xDlryHST4Of9uz7bdu2baOf+2IjBZxmtnLlSmbMmMHLL7/MoEGDWLRoEePGjePHH39ssfPwfIVSlM+efzzCuoIyDlYYyTVZ+WunVoyJc6xPY+uYjPn6P2PrMxg/jYb4Fd9w4sQJ5+NTU1Pp27cvj/1YSp7JdSji25dFOBZ38wvBMuZOLCPHoV//JfpvlqMpPenS1vyn211u679ahu7gL65txk7C3in5rK8pPDycJ554gtDQUBISEhhSY2PmT+Xsy68gnBqsR3+m5vgByo8foNugYVx3+2Qi/DSE+2mI8NMQYXD8+92KgXz33XfO/Y7PWMO9O/a6PZ96hoKSuPhEB+kx6PTU1BnKX36ykGgp4Pgku9mExlgDIWFuo+y2bdvGiY3rqD52hJrKSq5PakdSkB9KTSVKdRXUVKHYrKj+QUz/KRV0egIDAwkMDGDalZej/+O12JN6uOyzoqKCkoJ8gq1mAiJb4R8RgaLTX8iXLITXKEX5+L/+jNsaN7852aYLOwffwu4OAyi3KJTvrKTcolJutjv+nPp3mVml2BQIeLrqij9z24/h9XYjmZi7gUczv6S9qcilxdyE65sUf7VVZVu+mW35ZsDxQypE7yjq9K0zUqdDSO1JLFVVKbeoFFaaKSwo5vFp92M2mbDbbNitNmKi/0WAokB1FTpjFf7masKs1VSaNRwoOVU80miwhbeFgTcS1qlrk2IXvkmnUegYFoK/1USgVkOQTkN5WYUUcHzA87vKOWF0/W3y5tBwQutd+n3Pnj0UFhZSVVVFdXU1V155JdHR0W77O7F6GX99aaGzIDQsKpj+N4xzFKrrSUpKcingHD16lJk39Ob/so0cr6gdiTP7iIE/9VYJ0ilUWewUmewUG+0Umxx/in7796m/695fZLTz5v63uSt/k3N/XT+dS78BcyjW1y4HEKJXiPRzFHSi/DRE+v/2b62zyFO34BPpp0Hnxemn54sUcJrZwoULue2227jrrrsAmD9/PuvWreODDz5g5syZFySGRTMepywvy3n7lu5dSAgLcWtXXGPkg92/Om+H+/tx6KGlmHTuQ4M7r56Led9G5+1h7dsyoE2sWzuABdt/wWKvTYi097xCemvXL3ljjR+dP30PzXeLnNuSoyL4U5dOHve57NcjZNW55HXkqLv5pd/Yeq10XB7Qnh9PbnVuOVBhol3vHnzcfSw/t06BPAW+dSRPOcRTUpyOf+t4Atp15pHdNrTZBY5hy3U80COYYW3qDU/0C8AychyWEWPQbfkOw1efoinIwdq9H/bE7rXt7Ha0+3e6PNTavR+WUeM9vk5PUlJSnP+ODtDy1mURpKaepKSkjNkffUowEKyD0PxD3NbZ8w/z3r17s3fvXnr37k2vXr3oV56DsuJnt3aqzGdvUXQaBYPB4FLAefDro5S1r/2cFP34DWE/rSGxLAOAER3j6RvreS2nl3/chXpqNI9qV3nk0n58kjKOn2J7u7SrOLob6w9L6FN4AIAe0VGMSurgcZ9L9h0it7L2LM6ElK4c6X4VKzuPcmlnLsknb9XbXJbt6E+tAgP4S+/uePJ9+gl25xei2lUUjcKIjvGEdh3Aa/0nubU9/vE/GZDzC4FWx3pQfxvYF63GfS75/oKTfJuW4bzdIzqKEV278Oiwp93a5nz9IYmH19O6usj5mtqGBLu0UVSVzMJC/rn3ICaLCZPFQp9QP+b1aMuoGz+i0uDalzP/+w3BO1cTU+0oGP+hOIPkaPfjOuWl7M/Kpe4yqtP1Zcwzd2TtEdf3tXTvJkpXvEqXUkdiNrxVMI90b0+1PoBKfSD+GgOZGsePv3f3HKTYaAIcidDk3t3YkvInvu403GWfNXkZlHy9iME5juNLu9BgxveoPf6rdQpTX6Ye49DJ2rW8rk3qgK3bEN7rdZvLPu0WExmfzmNwzs8Y7Bb0Gg0PDezr2J/NzlFt7fu1MyePDRnZztt/iIuhT9fuPDNkutt/VdbnC+mWvpVIo2OB95uHX8WVz/3TrV1Lt2jGDMryMp23G5MzHH7oU4w69+H755Iz6Ca/TFqM6wmO5swZVBUqrSoVZoUnwnrz66Y1znatDDoGDxzOiwljWBfRA04qcPLUlIV96yB1R+2T9LwCOg/y+Pysmu8YFXtKzfWP8Va7q3mvzXAmFGzl7yfW0K06h/dsMRzZsIz2eg2hBg0pvftw+x13YK0op8/7T1JtVam2qpjtsPxgKhmnXpOiKIxL7kxCWAgqtX1KBdbp4piVeurEkqLgFxZJ++unUP1LHhvXTSPKXElbuyO2VUWZHKysjXPYujcYGuV6rAI46B/Lc5fcBK07QEwn8He0iWziuhvCdz0+oCedqmqnUR1Y8BxHdQZWH0nnSFHtVYr+1Lkjm66Yxt7obi6Pt5lqqProKXqedMz/89NqefCSPm7HaoDt2XlsOlF7vB7QJgbj5bfzZaL7uK6C5S8x4Oh65+3JfVMI93f/vXK8tJwVB1OdtxPCQki57Dre7n2HW9uC/62g149L8LM5cqTrEjugtHYvVhmtVt7cucd520+r5S9DhvDkZY+7tS3dt4W2371NK2OJ8zUNa+8+RRLgvV37KDfV5meT+6bw8vAnKfV3HVVTk5OOcekcRldkYrRa6RoVydR+3UjMcf8Z/9m6HewvrH2f+m37kphpj2PvWmdBYquF0K8+dRnNc8SmxXT7Ax7j7NKlC4cOHSIpKYmkpCT69u1LsF7DwqERXPdN7UnsHJOGlM/yqLGpmJpw9e5PYi/jjvzNaE5F1s5cwtafZ5Lrd+YLxSxvfSnPtb3KbXugzchXe+ehVRT0GrCrdl7a9jMaRaFNSBB3nSaH/C4tg41lZnZHO+6PGnQtoV37O+9/dttrRNcUUxYVT/8nnmz8C20GUsBpRmazmd27d/Pggw+6bB8+fDjbt28/zaOaX2luFnkFOc7bCdHQx+z+wzyrxkxufm07rb+en/KNVOrcK5WxuZkU12kbFmCij77ErR1AYX42NXWWR7fll7JNrT8xR0tYbh5qnX0m28rpE2HCk3/nZ5FbbnTe1uXmnTrr5Kog6Qba/ewo4BTpglmg68Iz3U91rgLXwgzdr4fet1BucCSfGQD1ijcpkXqe6e96JR8XegPWP/4J62Uj0e3YgD26XoKq0WD8+0sYVn2MfvXHEBSMacqT4OEHYmOlpKSg0Wiwn0p8MzMzKSkpISIiwq3t5Zdf7rqYmKpiPXYA3c+bXBvKJUFbnPCgYIJsJoK0GlLDOpBVVMl+/zp950QO7U6kE2jMByAi0EwfbZHHfeXnZbsUBnoXHuK1gmK2KfX6YlYRYcdTial09O9eagV9wlwXzP7N4vwscitr+3aH1gqprVLYFlpvnycr0aQdIrfMsc+AQAN9Cj2fVdlYUEhufpnzdkSgmcjIaI/HDI4eIrcsk0C7+dRrCvB4tia3oJzc/ALn7V5qBd0j7J73eSydwKwMbKemTHRordDD6N63dBU1lNSZillldfTlw7mlnPCvNxLGYiDBXhtXlc3zqAGzXXV5j3QKGDQafqoyuMeaX0GkpXZKZpBOQ4DNRIDNRJTR9ap1JYW5ZBtrj48diw2sKyxkW1C9feaU4Zd+mJzyXABaGf3pHeN5nYyv8vPIPVk7nz8mzEZlVLx7nGYTpB0ktywLg2rDX6PQp9DznP/UghJy82s/v37aahIj9Z7fp/Q0wrNPYLI6YgjOO+5xny1dWV6WSy4Q36phOYPmVM5QoXP/PmtMznCyIIfqOp9ne0Ep29wm8zY2Z8gmt7z2mKPLzfX4GXglejhx5f8BHDlDXlBXZvZ5yuM+KS+E3MO1tzv28dwOID/NccEAHCXPxBANSdH+JIXqSAy9nvTgGwg5/iNtMzLosXQFWIBq6KgmMDTWDwL1BOenuuxyWUkuJXVeU+cyHX0V9/fpmMEOebWji03VsRyp0gA2gqwmguy1/2fdQvxdCjgHK4weCzjhdiMMch0pFBeoYUis57WAxMXLqHf9THUvSQNgdX4euUW1x+vYcBu5+SVss9frV0YjkceP0qrK0VeDtRr6FHr+nByqd7wO0FVTWZjHtmD3vuqXkU67Ov2/a6GeuPrfk4CttNrlOBVrDCCiIMPzd0BGFtG5Wfipju/BuHAbfZQCt2YVFpvLPoO1GroUHvG8z6wCNNknsFgrnK+pT2CFezugPD+LXFPtd3DXQj1786vJ9q+XL+SU0T4/g3Jj4annN9IlT4U83IRUlECddbdq0g+jVJa5NtLp0UyfC1vGgLEaUMgOj6XSase99zuu7jRq1Ci37UNi/bivexDvHKh9vlJz09fFWh/Rg/kJf+LxE7VF9SRjPkmn8tPT2RGa5HG7VrVzWZnjmF1usfHS0QKKix2xRtT4nTaHXF9QQG6Rlbxyx/157QZAeO173aHwKJ1r8tlvtXh8/IUgBZxmVFRUhM1mcxuqFh0dTUGB+wEBHNN2RPNJ63Ap5oBYinWBVOkCITjGcQUmncG9cdCZK7p+GpWn25dzIr3sjO2cWiU4Tn95ek97DiUorDUai5mKkyVw0nMi2xjZ2dlER0dz/PhxwHG5vG3bttG5c+cGPV477Ca6H9iFrs6BPrPGQmUzfSYvhs+2r8fYHPFNuvwyhuQ6pvD1GPAiRwI9nwUXF1799bl+K+CEWT0UuwwBWJXa9tVWzwWcynqFneBTi/hVaD0UZ801aOtMHwnS/r7PpttV+3k7JjT0uHw2vn7MutgcCWpDtX8MJfogqrR+YPAwqq0BtIpKWz+V+ACV+AA72wPt6Kx2/DRg0MCClAr8/esk+zVQGNOOrIwcampq+3tRURGpqanoqsrp6fYs575gcJkugChr7Y/wvuGB5JmsdA/xp1uIH12DPRdGw63VDAq3EalXiTSoxPipjIiyUXgizePEsaa4GD7bvh5jc8RXFRAOpWdvJ7ynynb64S2B9daIqbLZyc3NpazeZ8NqhaqYeDqoJjq0iSVqyAjS0tIIbOTVaG8Pg6/8/ck0nnv+oFNUXu88llFlv9KrLP2c9/ebtCoTT/yaQ5GlCcOCzkD1Ys4gBZzzoP7CTeoZrvrSXEmdOEVnIHPUdAiLcQz19VS4aQAtKguGRDIyqRmnFJ16r5vj53NqaiqdO3fm9ttvp7y8nF69etGxY8dGLxpmnj4PzYKn0ZSXYO3ej7gRo0Bz7qu2/xafL/P1GJsrvl9H30bNov0E2B0/HlTl9/0j3ZfUL5hU21WKdMH42z2c1WnXHY3lWkIshZj9glkS04mPWyVQpgt0/NE6CjzB5ir8E48SYCzHz1hGtc3Iw23acTgwzn2fBn8CQiLxsxVjsVgIaOQVG1ra9Wc0isanjwkgOcP5kOUfiQbQaxT89AqdW+kJ1WsINSiEGjSE6h1/H8wO4OAxHVpFQaeBG/uFMubG1oQaNBSdSKdb19r35pbFQVRX134fJyYmevxhlJOTQ0BAbXE1KiqKzp07o5Sf/STP6b7uu0YYaBekpcKiUmlxHZFXpnPEYEOhSh9IYnw0U5KCsPoHYg8IIjcwCG1QMIbgYAJCgvELCUYJDIaAQL7tHd+4K2A2gq9/H4Pvx9hsOcP1E6h+f79zVKrwPVWnOYED0DMsAEVRCDq1hlHHQANxcXG09vDZ+Orrr/HzO/dRdB+3MjP2uyKKTLVxGTS4rEMT5a91/LvOOjWRfrXr2ET6aQjRKyiKgjLyeexz/4bm5JlH3vxmSIyBh1KCKaqzzk6R0Y6pynG8ivHTEWXQNXsBR/FizqCUlpa2tBzMa8xmM3FxcSxevJgbbrjBuX369OkcOHCAr7/++oLEseLfn2Koc6WENrFxBAa4n301W8ycyKpdK0en0xE+dCSqhyS++vBearJqF7CKjIggMtx9qg5A2vFjznUyAFoN/CNqsOt8zqysLFpr7VQcqF3cNygwiLiYGI/7zMrNwWisnWYR2a03SpsOHts2B23RCQb1aPlf1ABUV6KUl6C2btssU7vA9xMd8P0YmzO+spJysg+lUtY2CbvB9QzryfxcTCfS8C93DGNuFRlFeJjnqxocPVZ7RqSkuJg/9OtPdet4zCGux4KK0hJKMtIIOumY2x4SHExMtOd1dTKzszCZaxPFdnFtIKYtNVFtXNqZjDXkHDtKaI4jBoPeQEI7z/PKC0+epKyinJLiYiIiI2kVGUVwTBwVbRLd2h47/CtBeRloTw2FTezguRBaXlFOwcnaud4hwcG0bh1DaccUt7bZx9PR5h5DX13pfE3+/u5ntrNPnsTmF4g+ohX6iCg0QaEozdQHm0K12dBZTeiM1eiMVRRlnaB169YoqGScyMDy23QrVSWhXTz26DaYwl1HnNZUVZF//CjB+ccB8Pfzp10bx3up1Ms2cvPzqaquHQEYE90av9ZxVMV2cGlnt9vJSD1IcE46GrvdMSWlo2Ptk8LCAqLrfLZKykopKq5dVycsNJSomDjKEtwXjc9MT8WQcwydyTECIqlLF7oPOMO0mBbq95gzBOkcRRk/1Ux+RhqGU9MmDQYDXbp08bjPvLw8TtY5BsTExDhHXNc/Xh88eND5mhRFoUuXLh4vaVtWVkZeXp6zXXBwMG3atAGrFU3Gb2d2Hfs5kZNLjdHo3G98XCxBdY8rp7abdAaO1FhRVRVVVck366hQDPTt3J7WlnICA/zBP+C8FWOawte/j8H3Y2zunCHncCpqneUQPB2vlcTuWIJc+6rNaiVn/y4CixzTaDUaDZ3ad3A7VgMUl5ZQXFJbrAwPCyOoUzLGSPdTnVlHDhKQecR5O6FdOwx695O0VdXV5ObXzi0K8PendacuVMZ1dGtbkJ2JcmQPGrvjh71WUejYwb2d1Wbj+InaNfA0Gg0dOiVS1t59DZXSokKMh3ajN1Y7X1Or0ywCfTzzhMvluRPataM6sSdqvZPP1ZWVlBz8Bf/cdPp1bk9IUBARoQ0fLWhv2x5Czjzr4FzVWFX+tz+N7okdiPLXEKRTmnQlKiezCU1mGljOPk1JjYxGbd3G/Q6bFfXIfiotKsU1Fg5n5pCbm0dEZCR+BgPxbT3nkAUnCykxWahq7bg/qnUcoRGRzvvDMg+hsVgwBAWSdJp1dM43KeA0sxEjRpCSksKCBQuc2/r378/1119/wRYx9vUvGfD9GCW+c+Pr8YHvxyjxnTtfj1HiO3cXQ4y+7mL4P/T1GCW+c+Pr8YHvxyjxnTtfj1HiO3cXQ4wNIVOomtm0adO499576d+/PwMHDuSDDz4gLy+PiRMnejs0IYQQQgghhBBCXKSkgNPMbrrpJoqLi5k/fz75+fl069aNzz77jISEBG+HJoQQQgghhBBCiIuUFHDOg8mTJzN58mRvhyGEEEIIIYQQQogWQi5HIoQQQgghhBBCCOHjpIAjhBBCCCGEEEII4eOkgCOEEEIIIYQQQgjh46SAI4QQQgghhBBCCOHjpIAjhBBCCCGEEEII4eOkgCOEEEIIIYQQQgjh46SAI4QQQgghhBBCCOHjpIAjhBBCCCGEEEII4eOkgCOEEEIIIYQQQgjh46SAI4QQQgghhBBCCOHjpIAjhBBCCCGEEEII4eOkgCOEEEIIIYQQQgjh46SAI4QQQgghhBBCCOHjpIAjhBBCCCGEEEII4eOU0tJS1dtBCCGEEEIIIYQQQojTkxE4QgghhBBCCCGEED5OCjhCCCGEEEIIIYQQPk4KOEIIIYQQQgghhBA+Tgo4QgghhBBCCCGEED5OCjhCCCGEEEIIIYQQPk4KOC3MokWL6NWrFzExMQwbNoytW7d6OyQAXnnlFa644gri4+NJTEzk1ltv5cCBA94O67RefvllwsPDeeyxx7wdiou8vDzuu+8+EhMTiYmJYeDAgWzevNnbYQFgs9l4/vnnnZ+/Xr168fzzz2O1Wr0W05YtWxg/fjzdunUjPDycJUuWuNyvqipz5swhOTmZ2NhYrrvuOg4ePOgT8VksFmbOnMngwYNp06YNXbt2ZfLkyWRmZvpEfPU99NBDhIeH88Ybb/hUfEePHuXPf/4zCQkJxMXFcfnll3P48GGfibGyspLHHnuM7t27Exsbyx/+8AcWLlx4weJryLHZm/3kbPH5Qj+5mEnO0DwkZ2g8yRmaNz5fOBZKznD+Y5Sc4dzi84V+0hykgNOCrFy5khkzZvDoo4+yceNGLrnkEsaNG+cTH8rNmzczadIk1q5dy+rVq9HpdNxwww2UlJR4OzQ3O3fu5F//+hc9evTwdiguSktLueaaa1BVlc8++4zt27czb948oqOjvR0aAK+99hqLFi1i7ty57NixgxdffJH333+fV155xWsxVVVV0b17d1588UUCAgLc7l+wYAELFy5k7ty5/PDDD0RHR3PjjTdSUVHh9fiqq6vZs2cP06dPZ8OGDXz66adkZ2dz8803X7AE92z/f79ZtWoVu3btIi4u7oLE9ZuzxXf8+HGuueYa2rdvz+rVq9m2bRtPP/00QUFBPhPjU089xXfffcc777zD9u3befTRR5k1axbLli27IPE15NjszX5ytvh8oZ9crCRnaB6SMzSN5AzNG58vHAslZzj/MUrOcG7x+UI/aQ5KaWmp6u0gRPMYMWIEPXr04PXXX3du69evH2PGjGHmzJlejMxdZWUlCQkJLFmyhFGjRnk7HKeysjKGDRvGggULmDdvHt27d2f+/PneDguA2bNns2XLFtauXevtUDy69dZbiYiI4J133nFuu++++ygpKWH58uVejMyhbdu2zJs3j9tvvx1wnCFITk7mnnvuYfr06QDU1NTQuXNnnnvuOSZOnOjV+Dw5dOgQgwYNYsuWLRf8x8Lp4jtx4gTXXHMNX3zxBTfffDNTpkzhwQcfvKCxnS6+yZMnoygK77///gWPxxNPMV566aWMHj2aJ5980rnt2muvpUePHl459tQ/NvtaP2nId4c3+8nFRHKGcyc5Q9NJztC88XkiOUPj4pOcofEkZ/AOGYHTQpjNZnbv3s3w4cNdtg8fPpzt27d7KarTq6ysxG63Ex4e7u1QXDz88MOMGTOGYcOGeTsUN1999RX9+/dn4sSJJCUlMXToUN577z1U1TdqsIMGDWLz5s0cOXIEcBwQN23axFVXXeXlyDzLyMggPz/fpc8EBAQwePBgn+wzgPPsha/0G6vVyuTJk5k+fTpdu3b1djgu7HY73377LV27dmXs2LEkJiZyxRVXsHLlSm+H5mLQoEF8++23ZGVlAbB9+3b279/PiBEjvBJP/WOzr/WThnx3+Fo/8UWSMzQPyRmaTnKG88/XjoWSM5w7yRnOLT5PfK2fNITO2wGI5lFUVITNZnMbGhsdHU1BQYGXojq9GTNm0LNnTy655BJvh+L0r3/9i/T0dN59911vh+LR8ePHWbx4MVOnTuXhhx9m3759PP744wBMmTLFy9E5EtnKykoGDhyIVqvFarUyffp0Jk+e7O3QPMrPzwfw2Gdyc3O9EdIZmc1mnn76aUaOHEnbtm29HQ4Ac+bMISIigkmTJnk7FDeFhYVUVlbyyiuv8OSTTzJz5kw2btzIPffcQ2BgICNHjvR2iADMnTuXv/3tb6SkpKDTOb6S582b57X46h+bfa2fnO27wxf7iS+SnOHcSWR/jMkAAA2WSURBVM5wbiRnOL988VgoOcO5k5zh3OKrzxf7SUNIAaeFURTF5baqqm7bvO3JJ5/kxx9/5Ntvv0Wr1Xo7HABSU1OZPXs233zzDQaDwdvheGS32+nbt69zaHvv3r1JT09n0aJFPpGMrVy5kmXLlrFo0SKSk5PZt28fM2bMICEhgTvvvNPb4Z3WxdBnrFYrU6ZMoaysjKVLl3o7HMAxz/jTTz9l06ZN3g7FI7vdDjiGFj/wwAMA9OrVi927d7No0SKfScbeffddtm/fztKlS4mPj2fr1q0888wzJCQkcOWVV17QWM50bPaFfnK27w5f7Ce+zhfe17ORnKFpJGc4Py6GPuOLx0LJGZqH5AwN15JzBingtBBRUVFotVq3M2cnT570mQXrAJ544glWrlzJmjVr6NChg7fDcdqxYwdFRUVceumlzm02m42tW7fywQcfkJOTg5+fnxcjhJiYGLchp126dHEOo/S2Z599lgceeICxY8cC0KNHDzIzM3n11Vd9MhmLiYkBoKCggHbt2jm3+1qfsVqtTJo0iQMHDvDll18SGRnp7ZAA2LRpE3l5eS6fSZvNxsyZM3n77be9fsWYqKgodDqdxz7jK0Oia2pqmD17Nh999JFzbnZKSgr79u3jjTfeuKDJ2OmOzb7ST8723eGr/cRXSc5wbiRnOHeSM5wfvnoslJzh3EnOcO7x/cZX+0lDyRo4LYTBYKBPnz6sX7/eZfv69esZOHCgl6Jy9fjjj7NixQpWr15Nly5dvB2Oi+uuu46tW7eyadMm55++ffsyduxYNm3a5BNn2AYNGsTRo0ddth09epT4+HgvReSqurrarcKt1WqdZzV8Tfv27YmJiXHpM0ajkW3btvlMn7FYLEycOJFff/2VNWvWOL8YfcHkyZPZsmWLS5+Ji4tj6tSprFq1ytvhYTAY6NevH6mpqS7bfanPWCwWLBaL1/vNmY7NvtBPzvbd4cv9xFdJznBuJGc4d5IzND9fPhZKznDuJGc49/jAt/tJQ8kInBZk2rRp3HvvvfTv35+BAwfywQcfkJeXd8FX/PZk+vTpLF++nE8++YTw8HDnHMmgoCCCg4O9HJ1j4ar6i1cFBgYSERFB9+7dvRSVq6lTp3L11Vfz0ksvcdNNN7F3717ee+89nnnmGW+HBsDIkSN57bXXaN++PcnJyezdu5eFCxcyfvx4r8VUWVlJeno64Bgem5WVxd69e4mIiCA+Pp7777+fl19+mc6dO5OUlMRLL71EUFAQN998s9fji4uL46677uKXX35h6dKlKIri7DehoaFnvETnhYgvPj7e7WyKTqcjJiaGzp07n/fYGhLfX//6VyZOnMjgwYO5/PLL2bRpEytXrmTJkiUXJL6GxDhkyBBmzZpFUFAQ8fHxbNmyhWXLljFr1qwLEt/Zjs2Koni1n5wtPqvV6vV+crGSnKHpJGc4d5IzNG98kjOce3ySM5yd5Ay+QS4j3sIsWrSIBQsWkJ+fT7du3XjhhRcYMmSIt8M67crejz/+OE888cQFjqZhrrvuOp+6JCjA2rVrmT17NkePHqVdu3bcc8893HvvvT4x/7qiooJ//vOffPnll5w8eZKYmBjGjh3L3//+d/z9/b0S06ZNmxg9erTb9gkTJvD222+jqiovvvgiH330EaWlpfTv35+XXnrpgiXgZ4pvxowZ9O7d2+PjFi5ceMZLhzaXs/3/1dezZ88LeknQhsS3ZMkSXnnlFbKzs+nUqROPPPLIBUu2GxJjfn4+s2bNYv369ZSUlBAfH8+dd97JAw88cEH6dUOOzd7sJ2eLLyMjw+v95GImOUPzkZyhcSRnaN74JGc4O8kZzp3kDL5BCjhCCCGEEEIIIYQQPk7WwBFCCCGEEEIIIYTwcVLAEUIIIYQQQgghhPBxUsARQgghhBBCCCGE8HFSwBFCCCGEEEIIIYTwcVLAEUIIIYQQQgghhPBxUsARQgghhBBCCCGE8HFSwBFCCCGEEEIIIYTwcVLAEUJc9JYsWUJ4eLjzT0xMDMnJydx000288847VFRUeC22nj17MnbsWI/35efnEx4ezpw5cy5wVEIIIcTvk+QMQoiLmc7bAQghRHOZMWMGHTt2xGKxUFBQwObNm3niiSdYuHAhS5cuJSUlxdshCiGEEMIHSM4ghLgYSQFHCNFijBgxggEDBjhvP/LII2zYsIHx48czYcIEduzYQUBAgBcj9B3V1dUEBgZ6OwwhhBDCKyRnaDjJGYTwHTKFSgjRog0bNozHHnuMzMxMPvvsM+f2/fv3c//999OnTx9iYmJITExk0qRJZGVlOdukpaURHh7OwoUL3fZ76NAhwsPDee+995o95szMTO655x46depETEwMQ4cOZenSpS5tNm3aRHh4OJs2bXJ7fP0h1nPmzCE8PJxDhw5x33330bFjRwYNGgRAZWUlTz/9NL169SImJobOnTszevRoj/sVQgghWjLJGSRnEMLXyQgcIUSLd+uttzJ79mx++OEH7rrrLgDWr19Pamoqt9xyC23btiU9PZ0PP/yQXbt2sXXrVgICAkhMTGTgwIEsX76cadOmuexz+fLl6PX6085Vr8tisVBUVOS2vaSkxG1bUVERI0eOpKSkhClTphAbG8vKlSu5//77KS0t5f7772/i/wJMnDiRhIQEnnrqKcxmM+A44/jFF18wefJkkpOTKSsr46effmLfvn1cdtllTX4uIYQQ4mIkOYOD5AxC+CYp4AghWry2bdsSGhrKsWPHnNsmTZrEgw8+6NJu5MiRjBo1ijVr1nDLLbcAMGHCBB5++GEOHTpEcnIyAKqq8p///IcRI0YQFRV11uffuHEjiYmJDYr11VdfJTs7m1WrVjFs2DAA7r77bkaNGsXzzz/PbbfdRlhYWIP2VV9SUhIff/yxy7a1a9dy11138cILLzRpn0IIIURLIjmDg+QMQvgmmUIlhPhdCA4OprKy0nm77lzuyspKiouL6dKlC2FhYezevdt534033oi/vz/Lly93btu8eTNZWVmMHz++Qc/dt29fvvjiC7c/H330kVvbtWvX0qtXL2ciBmAwGLj//vupqqpi8+bNjXnZLiZNmuS2LSQkhJ9//pmcnJwm71cIIYRoSSRnkJxBCF8lI3CEEL8LlZWVtGrVynm7tLSUf/zjH6xatcptWHJZWZnz32FhYVx77bX85z//4dlnn0VRFD777DNCQ0MZOXJkg547MjKSP/7xj27b8/Pz3badOHGC0aNHu23v2rWr8/6m6tChg9u2WbNmMW3aNFJSUujVqxdXXnkl48aNcz6fEEII8XsjOYPkDEL4KhmBI4Ro8bKzsykvL6dTp07ObXfffTfLli1j0qRJ/Pvf/+bzzz/niy++IDIyErvd7vL4CRMmkJWVxZYtWzCZTKxatYobbrgBf3//C/YaVFV1ua0oisd2NpvttPvwdDWNsWPHsnv3bl5++WXi4+N59913GTJkiMvZQyGEEOL3QnIGB8kZhPBNMgJHCNHi/ZZYDB8+HHCcSfvhhx+YMWMGM2bMcLYzGo2Ulpa6PX748OHExsayfPlyTp48SXl5Obfeeut5iTUhIYEjR464bU9NTXXeD46rRoDrmT9o2tm22NhYJk6cyMSJEyktLeWqq65i7ty55+01CiGEEL5KcoYzk5xBCO+SEThCiBZtw4YNzJ8/n/bt2zsXGdRoHIe++meo3nrrLbczaQBarZZx48axatUqPv74YxISEhg8ePB5ifeaa65h7969bNy40bnNYrHwzjvvEBgYyNChQwFHUqbVat0u3dmYS5TabDa3ZC48PJz27dt7TEqFEEKIlkxyhtOTnEEI3yAjcIQQLca6detIT0/HarVSWFjIxo0bWb9+PfHx8SxdutQ5fDk0NJShQ4fy+uuvY7FYiI+PZ9u2bWzdupXIyEiP+54wYQJvvPEG69atY/r06acdjnyu/va3v7Fy5UomTJjAvffeS0xMDJ9//jk7d+7khRdecF5NIjQ0lLFjx7Jo0SIURaFz585s2rSJ48ePN/i5Kioq6N69O6NHjyYlJYXQ0FB+/PFHvv/+e+65557z8vqEEEIIXyA5g+QMQlyMpIAjhGgxXnzxRcBxBYaIiAi6d+/OnDlzuP322wkJCXFpu2jRImbMmMGHH36I1Wpl8ODBrF69mjFjxnjcd/fu3enduzd79uw5r8OEo6KiWLt2LbNmzeLDDz+kurqapKQk3n77bSZMmODSdu7cuVitVj755BM0Gg1XX301K1asICkpqUHPFRgYyOTJk1m/fj3ffPMNVquV9u3b89xzz3H//fefj5cnhBBC+ATJGSRnEOJipJSWlqpnbyaEEOKqq67Cbrezbt06b4cihBBCCB8mOYMQ4nyQNXCEEKIBDhw4wM6dO93OaAkhhBBC1CU5gxDifJEROEIIcQYHDhxg9+7dvPPOO2RnZ7Nnzx6Cg4O9HZYQQgghfIzkDEKI801G4AghxBmsWrWKadOmUV1dzeLFiyURE0IIIYRHkjMIIc43GYEjhBBCCCGEEEII4eNkBI4QQgghhBBCCCGEj5MCjhBCCCGEEEIIIYSPkwKOEEIIIYQQQgghhI+TAo4QQgghhBBCCCGEj5MCjhBCCCGEEEIIIYSPkwKOEEIIIYQQQgghhI/7f+qdpIHS23raAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1152x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_demands_shifted(low_MCE_leader, med_MCE_leader, high_MCE_leader,low_MWCE_leader, med_MWCE_leader, high_MWCE_leader)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1152x576 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1152x576 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1152x576 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1152x576 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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NmjUr13Oa37t//vlHV65cyVEMuVW80dHROeLNi7mwmZycbCl+5SYlJUXStTXdcpNXTOYi5o3x7Nq1S5LUsGHDfE/Zt2vXLplMJplMJjVu3DjPdpcvX75prHfDn3/+qStXrkjK+3fRyclJAQEB2rBhg9XvYuvWrTVlyhRt27ZNPXr0UP/+/RUUFJRjbSsAAAAAuaOABQAAABTQ+fPnJclSpMmN+Qv+K1euKCkpSR4eHgU6x1dffaWXX35ZV69elXRt2jEPDw9L0SMlJUVpaWmWESb3Sl6jiySpRIkSSk9PV2ZmpmXbP//8I+naaB9HR8d8ncN8f6X83ePr2+c3VvP0ftfHKklGo1Ft27bVDz/8oBUrVlgVsMzTCppHUplduXJFly5dkpSzoJOXtLS0HAWs24k3L+ZRP5mZmTp37ly+4slNXjHlFY/5/a5YsWK+4rw+1uzs7DuKNbcYXV1dlZqaanl/Csr8u2VnZydvb+882+X2u1inTh298847evPNN7V582bLyLFq1aqpbdu2GjRokB599NHbigsAAAB4EDCFIAAAhSAiIkJGo1HTpk0rUD9/f//bXlQeQNEzj8wobCdPntT48eN19epVBQcHa9u2bTp37pyOHz+umJgYxcTEqF+/fpKUY0SWrbnT+O7WPb4Z8/SAq1evVlZWliTp9OnT2rFjh9V+s+zsbMu/169fr4SEhFv+3O2//eaYgoKC8hXPe++9VyjnvZ332xxr5cqV8xWrebrG/KhRo4YkFWjtsNyYTCZlZGQUuN/w4cO1d+9eTZkyRe3bt5eHh4eOHTumzz77TM2aNdNnn312R3EBeLCRgwAA7ncUsAAAD5zff/9dRqNRLVu2zHX/xo0bZTQaZTQatXfv3lzb+Pn5yWg06vjx4zc9V1Ekh5mZmVqyZIl69+6tRx99VJ6envLx8VFAQIBGjx5tmebKbPHixZbrzevH19f3nl4DYOseeughSdKpU6fybHP69GlJ10YllSpVqkDH/+GHH3TlyhU1bNhQc+fOlZ+fnxwcrCdPMI90sXWenp6Sro2yyW8xynx/pfzd4+vbF4YOHTrI3d1d58+f15YtWyRJK1euVHZ2th5//HFLUcTM2dnZ8h7fuKZWUTFPUxcTE3NPz2t+v2/2vt3IHGtcXJySk5MLNR7ztH87duzI9+i465l/t0wm002nLrzZ76KPj49GjRql0NBQ/f333woLC1ObNm2UnZ2tSZMm3fKzBID7w/2egxSGO43bZDJp3bp1GjBggPz8/OTt7a3y5curXr16GjZsmDZt2mTV3lwAvNXP7fz/AQAoHEwhCAB44Dz++OMqXbq09u/fr0uXLuVY2H3r1q0yGAyWRe3r1q1rtf/YsWOKjY1V5cqVVaVKFUlS/fr1FRUVpbJly96ry8jVsWPHFBwcrOjoaJUuXVotW7ZU5cqVlZmZqSNHjmjZsmVauHChZsyYoaFDh1r19fPzU+fOnXM9rrOz870IHyg2Hn/8cUVHRysiIiLPNlu3brW0vX79Kzu7a8+Q3WykivnLcH9//1z3Z2Zm6tdffy1w3EWhQYMGkqSMjAxt3bpVbdu2vWWfMmXKqGLFioqNjVVERIRatWqVazvzPa5Tp07hBSzJxcVFnTp1UmhoqJYvX662bdtqxYoVknKOvjJr2LChNm3apHXr1mnw4MGFGs/taNSokaRrhcPIyMibri1VmBo2bKhPP/1Uu3fvzvdIs4YNG0qSsrKyFBYWluc9vh3PPPOM5s6dq7S0NH3yySd67bXX8tXPvG7do48+qhIlSujKlSuKiIjQww8/nKNtRkaGdu7cKenWv4t2dnYKCAjQkiVLVKNGDSUmJmrXrl2WzxPmvw8A7j/3cw5iC/755x8NGDBAv/76q9zc3NS8eXM9/PDDMhgMOn78uMLCwrR06VI9//zzmjp1qlXfSpUqqW/fvnkem1wIAIoOBSwAwAPHzs5OQUFBWrt2rSIiItS1a1er/eHh4apdu7bS09MVHh6ul156Kcd+SWrRooVlW8mSJXM8kX+v/fPPP+ratatiY2M1ZMgQvfXWW3J1dbVqk5CQoLlz5yopKSlHf39/f7366qv3KlygWOvWrZuWLl2qqKgoRUREWEZ5mJ04cULffvutJKl79+5W+9zd3SVJiYmJeR7fPJonOjo61/3z5s3L11pBtsDb21utWrXS5s2b9fbbbyswMDBfXwR169ZNn3zyib788ku98MILOQohq1atsox2uvEeF4ZevXopNDRUP/zwgw4cOKC9e/fKYDDoySefzLV93759tWnTJm3evFnr16/P84EASfdkCsEGDRqoVq1a+uuvvzRp0iStX78+x5pbZsnJySpZsqTs7e3v+LwdOnSwPK0+ZcoUffjhh7fs4+3trTZt2mjTpk1655139K9//SvP+3PlyhVlZWWpZMmS+YrnkUce0TPPPKOvvvpKs2bNkr+/f47/96+XlJSkF154QR999JGMRqOcnJzUvn17rVu3TnPmzFHfvn1z3MdPP/1UiYmJcnR0tHrfr1y5kuc9L1GihOV+Xz81ofnvQ2pqqrKysnKMvARQfN2vOYgtuHz5snr27Kl9+/apW7dumjVrlsqUKZOjzYIFC/T333/n6O/r60seBAA2ise7AAAPJHPiZ3563+zixYs6cOCAmjdvrqCgIO3cuTPHmhfmPtdP/3Hj/PMnTpyQ0Wi0TKF0/RQUuX2pmZWVpQ8//FD16tWTp6enateurddff71A621MnTpVsbGx6t69u95///0cxStzHJMmTdKoUaPyfVwAObVv394youXZZ59VWFiYZR2fnTt36sknn1RaWpp8fX01cOBAq741a9aUwWBQbGys5cuoG7Vu3dpyrLffftsyrVpCQoKmTZumyZMn5/hixpa9/fbbcnJy0v79+9W1a1dFRkZaRqBdunRJa9euVf/+/a36jBo1SkajUYmJierZs6cOHjwo6dros9DQUD3//POSrhW6nnjiiUKPuVWrVipXrpySk5M1cuRISVLTpk3l4+OTa/sePXpY/l8YNGiQZs2apfPnz1v2X7hwQWvWrNF//vMfTZ8+vdDjvZHBYNCMGTNkb2+vXbt2qUuXLvr1118tv6dXr17VH3/8oXfeeUdPPPFEoU3d5+rqqjfffFOS9OWXX2rEiBGWLwvN0/B99tlneuutt6z6vfvuu3Jzc9Px48fVvn17bdy40TLlpMlkUkxMjGbPnq169erpyJEjBYpp2rRpatCggbKysjRw4ECNHDlSu3fv1tWrV62O/8EHH6hu3bpavXq1Vf8JEyaoRIkSOnr0qIKDgy1Td12+fFkhISF6++23JUnDhg2Tl5eXpd+4ceM0ZMgQbdiwwWr6qbi4OI0aNUoXL16Uo6OjmjdvbtlXqVIlubu76+rVq5YiOID7R3HPQbZu3apevXqpatWq8vT0VJ06dTRhwoRcpzXu3Llzng8j3GncN5o3b5727dunRo0aacGCBbl+RnJxcdHIkSP1zjvv3PJ4AADbweNcAIAHkjl5vPHL44iICJlMJjVv3lxpaWlauHChoqKiLKMrTCaTIiIiZDAYrL5wupGHh4cmTJigkJAQJSUlacKECZZ9ua0n9d///lc7duxQ27Zt5e7urp9++klz5szRP//8o08//fSW15Oenq7Q0FBJytfTg05OTrdsAyBvdnZ2WrBggbp3767Dhw/r6aeflouLi+zt7ZWSkiLp2lpAixcvlpubm1VfT09PdejQQT/++KO6desmDw8Py4ir2bNnq3Xr1qpXr5769eunxYsXa+bMmZo1a5Y8PDyUlJSk7OxsdevWTd7e3po/f/49v/bb4e/vr0WLFunZZ59VVFSU2rdvL2dnZzk6OloKJzeuE+bt7a2vv/5affv21e7du9WsWTOVKlVKGRkZli/WGjZsqNmzZ9+VmO3t7dW9e3d9/vnn2rdvn6S8pw+Urv1OfPXVVxo0aJA2b96syZMn6+2331apUqWUnZ1tVSC6V0/LN2/e3FJEioqKUqdOnVSiRAm5ubkpKSlJWVlZlrbXT3N5pwYNGqQzZ85oxowZWrJkiZYsWSJ3d3dlZmYqPT1dktSpUyerPjVr1lRoaKieeeYZHTp0SE899ZQcHR3l7u6ulJQUq/XTChqri4uL1q1bpzFjxmjp0qVavHixFi9eLHt7e5UqVUopKSnKzMy0tO/evbvVQyB+fn6aN2+ehg0bpo0bN2rjxo3y8PCwjJKSpI4dO2rSpElW571y5YqWL1+u5cuXS5Lld8H8N8JgMOjdd9+1+lxgZ2envn37av78+Ro1apQmTpxo+QJ4/PjxOQq9AIqX4pyDLFy4UGPGjJGLi4vlc0hkZKTmz5+v9evX68cff1SlSpVu674UNO4bffXVV5KuPThwq9HE5EEAULxQwAIAPJAeeeQR+fj46PDhw4qLi7M8UR8eHi57e3s1bdrU8gVpeHi4JXk8cOCAzp8/Lz8/v1wXajczGo169dVXtWTJEiUlJd2yqHTixAlFRkZavqR6/fXXFRgYqGXLlumtt96St7f3Tfv/9ttvSk9PV4UKFVSzZs1834fr/fHHH5anIG/k7++vLl263NZxgfuVj4+PtmzZok8//VSrV6/WsWPHdPXqVdWoUUMdO3bUCy+8kOeaFPPnz9d7772nsLAwxcXFWaYTTEtLs7SZM2eO/P399fXXX+vo0aPKzs5W/fr11a9fPw0YMKDYTXXToUMH7dq1S3PnztWmTZt06tQpmUwmVa9eXfXr11fv3r1z9GnevLl27Nihjz/+WD/99JPOnDmjEiVKyN/fX7169dLgwYPl6Oh412Lu1auXPv/8c0mSo6OjunXrdtP2RqNRK1eu1Nq1a7V06VLt3btXFy5ckKOjox555BE1aNBAXbt2VZs2be5azDfq3r27GjVqpPnz52vTpk06ceKEkpKSZDQaVaNGDf3rX/9S9+7d5eHhUajnnThxotq3b6/58+fr119/1blz5+Tm5qbq1aurZcuWua4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      "text/plain": [
       "<Figure size 1728x864 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_rates(low_MCE_leader, med_MCE_leader, high_MCE_leader,low_MWCE_leader, med_MWCE_leader, high_MWCE_leader)\n",
    "\n",
    "plot_demands(low_MCE_leader, med_MCE_leader, high_MCE_leader,low_MWCE_leader, med_MWCE_leader, high_MWCE_leader)\n",
    "\n",
    "plot_cust_penalty(low_MCE_vplus, med_MCE_vplus, high_MCE_vplus,low_MWCE_vplus, med_MWCE_vplus, high_MWCE_vplus)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1728x864 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1152x576 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1728x864 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_wh, df_wl, df_vplus, df_vminus, df_ukt = low_MCE_wh, low_MCE_wl, low_MCE_vplus, low_MCE_vminus, low_MCE_ukt\n",
    "pi_h, pi_l = low_MCE_leader['High_Price'], low_MCE_leader['Low_Price']\n",
    "low_cust_MCE = cust_cost(df_wh, df_wl, df_vplus, df_vminus, df_ukt, pi_h, pi_l)\n",
    "\n",
    "df_wh, df_wl, df_vplus, df_vminus, df_ukt = med_MCE_wh, med_MCE_wl, med_MCE_vplus, med_MCE_vminus, med_MCE_ukt\n",
    "pi_h, pi_l = med_MCE_leader['High_Price'], med_MCE_leader['Low_Price']\n",
    "med_cust_MCE = cust_cost(df_wh, df_wl, df_vplus, df_vminus, df_ukt, pi_h, pi_l)\n",
    "\n",
    "df_wh, df_wl, df_vplus, df_vminus, df_ukt = high_MCE_wh, high_MCE_wl, high_MCE_vplus, high_MCE_vminus, high_MCE_ukt\n",
    "pi_h, pi_l = high_MCE_leader['High_Price'], high_MCE_leader['Low_Price']\n",
    "high_cust_MCE = cust_cost(df_wh, df_wl, df_vplus, df_vminus, df_ukt, pi_h, pi_l)\n",
    "\n",
    "df_wh, df_wl, df_vplus, df_vminus, df_ukt = low_MWCE_wh, low_MWCE_wl, low_MWCE_vplus, low_MWCE_vminus, low_MWCE_ukt\n",
    "pi_h, pi_l = low_MWCE_leader['High_Price'], low_MWCE_leader['Low_Price']\n",
    "low_cust_MWCE = cust_cost(df_wh, df_wl, df_vplus, df_vminus, df_ukt, pi_h, pi_l)\n",
    "\n",
    "df_wh, df_wl, df_vplus, df_vminus, df_ukt = med_MWCE_wh, med_MWCE_wl, med_MWCE_vplus, med_MWCE_vminus, med_MWCE_ukt\n",
    "pi_h, pi_l = med_MWCE_leader['High_Price'], med_MWCE_leader['Low_Price']\n",
    "med_cust_MWCE = cust_cost(df_wh, df_wl, df_vplus, df_vminus, df_ukt, pi_h, pi_l)\n",
    "\n",
    "df_wh, df_wl, df_vplus, df_vminus, df_ukt = high_MWCE_wh, high_MWCE_wl, high_MWCE_vplus, high_MWCE_vminus, high_MWCE_ukt\n",
    "pi_h, pi_l = high_MWCE_leader['High_Price'], high_MWCE_leader['Low_Price']\n",
    "high_cust_MWCE = cust_cost(df_wh, df_wl, df_vplus, df_vminus, df_ukt, pi_h, pi_l)\n",
    "\n",
    "plot_cust_object(low_cust_MCE, med_cust_MCE, high_cust_MCE,low_cust_MWCE, med_cust_MWCE, high_cust_MWCE,nr_cust)\n",
    "plot_cust_object_perc(low_cust_MCE, med_cust_MCE, high_cust_MCE,\n",
    "                    low_cust_MWCE, med_cust_MWCE, high_cust_MWCE,nr_cust,cust_cost_comp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "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>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>%_Low-High</th>\n",
       "      <td>50.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>%_Low-Medium</th>\n",
       "      <td>50.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>%_Medium-High</th>\n",
       "      <td>50.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               count  mean  std  min  25%  50%  75%  max\n",
       "%_Low-High      50.0  -1.0  1.0 -4.0 -1.0 -0.0 -0.0  0.0\n",
       "%_Low-Medium    50.0  -1.0  1.0 -4.0 -1.0 -0.0 -0.0  0.0\n",
       "%_Medium-High   50.0   0.0  0.0  0.0  0.0  0.0  0.0  0.0"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_sum = pd.DataFrame(index=range(nr_cust))\n",
    "df_sum['Low-\\u03C8'] = low_cust_MCE\n",
    "df_sum['Medium-\\u03C8'] = med_cust_MCE\n",
    "df_sum['High-\\u03C8'] = high_cust_MCE\n",
    "df_sum['%_Low-High'] = (df_sum['Low-\\u03C8']-df_sum['High-\\u03C8'])*100/df_sum['High-\\u03C8']\n",
    "df_sum['%_Low-Medium'] = (df_sum['Low-\\u03C8']-df_sum['Medium-\\u03C8'])*100/df_sum['Medium-\\u03C8']\n",
    "df_sum['%_Medium-High'] = (df_sum['Medium-\\u03C8']-df_sum['High-\\u03C8'])*100/df_sum['High-\\u03C8']\n",
    "df_sum.drop(['Low-\\u03C8', 'Medium-\\u03C8', 'High-\\u03C8'], inplace=True, axis=1)\n",
    "df_sum.describe().transpose().round()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>%_Low-High</th>\n",
       "      <td>50.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>%_Low-Medium</th>\n",
       "      <td>50.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>%_Medium-High</th>\n",
       "      <td>50.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               count  mean  std  min  25%  50%  75%  max\n",
       "%_Low-High      50.0  -1.0  1.0 -4.0 -1.0 -0.0 -0.0  0.0\n",
       "%_Low-Medium    50.0  -1.0  1.0 -4.0 -1.0 -0.0 -0.0  0.0\n",
       "%_Medium-High   50.0   0.0  0.0  0.0  0.0  0.0  0.0  0.0"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_sum1 = pd.DataFrame(index=range(nr_cust))\n",
    "df_sum1['Low-\\u03C8'] = low_cust_MWCE\n",
    "df_sum1['Medium-\\u03C8'] = med_cust_MWCE\n",
    "df_sum1['High-\\u03C8'] = high_cust_MWCE\n",
    "df_sum1['%_Low-High'] = (df_sum1['Low-\\u03C8']-df_sum1['High-\\u03C8'])*100/df_sum1['High-\\u03C8']\n",
    "df_sum1['%_Low-Medium'] = (df_sum1['Low-\\u03C8']-df_sum1['Medium-\\u03C8'])*100/df_sum1['Medium-\\u03C8']\n",
    "df_sum1['%_Medium-High'] = (df_sum1['Medium-\\u03C8']-df_sum1['High-\\u03C8'])*100/df_sum1['High-\\u03C8']\n",
    "df_sum1.drop(['Low-\\u03C8', 'Medium-\\u03C8', 'High-\\u03C8'], inplace=True, axis=1)\n",
    "df_sum1.describe().transpose().round()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Profits_Actual_MCE = {}\n",
    "Profits_Wghited_MCE = {}\n",
    "Emission_Cost_MCE = {}\n",
    "Retailer_Profits_MCE = {}\n",
    "\n",
    "Profits_Actual_MWCE = {}\n",
    "Profits_Wghited_MWCE = {}\n",
    "Emission_Cost_MWCE = {}\n",
    "Retailer_Profits_MWCE = {}\n",
    "\n",
    "high_MCE_leader['Total_Emissions'] = high_MCE_leader['Coal_Emissions (lbs)'] + high_MCE_leader['Oil_Emissions (lbs)'] + high_MCE_leader['Gas_Emissions (lbs)']\n",
    "med_MCE_leader['Total_Emissions'] = med_MCE_leader['Coal_Emissions (lbs)'] + med_MCE_leader['Oil_Emissions (lbs)'] + med_MCE_leader['Gas_Emissions (lbs)']\n",
    "low_MCE_leader['Total_Emissions'] = low_MCE_leader['Coal_Emissions (lbs)'] + low_MCE_leader['Oil_Emissions (lbs)'] + low_MCE_leader['Gas_Emissions (lbs)']\n",
    "\n",
    "high_MWCE_leader['Total_Emissions'] = high_MWCE_leader['Coal_Emissions (lbs)'] + high_MWCE_leader['Oil_Emissions (lbs)'] + high_MWCE_leader['Gas_Emissions (lbs)']\n",
    "med_MWCE_leader['Total_Emissions'] = med_MWCE_leader['Coal_Emissions (lbs)'] + med_MWCE_leader['Oil_Emissions (lbs)'] + med_MWCE_leader['Gas_Emissions (lbs)']\n",
    "low_MWCE_leader['Total_Emissions'] = low_MWCE_leader['Coal_Emissions (lbs)'] + low_MWCE_leader['Oil_Emissions (lbs)'] + low_MWCE_leader['Gas_Emissions (lbs)']\n",
    "\n",
    "\n",
    "Emission_Cost_MCE['Low'] = sum(low_MCE_leader['Total_Emissions']*cost_emission)\n",
    "Emission_Cost_MCE['Medium'] = sum(med_MCE_leader['Total_Emissions']*cost_emission)\n",
    "Emission_Cost_MCE['High'] = sum(high_MCE_leader['Total_Emissions']*cost_emission)\n",
    "\n",
    "Emission_Cost_MWCE['Low'] = sum(low_MWCE_leader['Total_Emissions']*cost_emission)\n",
    "Emission_Cost_MWCE['Medium'] = sum(med_MWCE_leader['Total_Emissions']*cost_emission)\n",
    "Emission_Cost_MWCE['High'] = sum(high_MWCE_leader['Total_Emissions']*cost_emission)\n",
    "\n",
    "title_row = ['With CE', 'Without CE']\n",
    "psi_labels = ['Low \\u03C8', 'Medium \\u03C8', 'High \\u03C8']\n",
    "\n",
    "fig, axes = plt.subplots(1,2, figsize=(16,8), constrained_layout=True, sharey='row', sharex= True)\n",
    "\n",
    "axes[0].plot(low_MCE_leader['Total_Emissions'], label='Low-\\u03C8', alpha= 1)\n",
    "axes[0].plot(med_MCE_leader['Total_Emissions'], label='Medium-\\u03C8', alpha= 1, ls='--')\n",
    "axes[0].plot(high_MCE_leader['Total_Emissions'], label='High-\\u03C8', alpha= 0.75, ls=':', c='k')\n",
    "axes[0].set_ylabel('lbs')\n",
    "axes[0].set_xlabel('Day Hours')\n",
    "axes[0].set_xticks(np.arange(0, 24, step=2))\n",
    "axes[0].legend()\n",
    "axes[0].set_title('With_CE')\n",
    "\n",
    "axes[1].plot(low_MWCE_leader['Total_Emissions'], label='Low-\\u03C8', alpha= 1)\n",
    "axes[1].plot(med_MWCE_leader['Total_Emissions'], label='Medium-\\u03C8', alpha= 1, ls='--')\n",
    "axes[1].plot(high_MWCE_leader['Total_Emissions'], label='High-\\u03C8', alpha= 0.75, ls=':', c='k')\n",
    "axes[1].set_xticks(np.arange(0, 24, step=2))\n",
    "axes[1].set_xlabel('Day Hours')\n",
    "axes[1].legend()\n",
    "axes[1].set_title('Without_CE')\n",
    "\n",
    "fig.suptitle(f'Total Emissions', fontsize=24);\n",
    "\n",
    "plt.savefig('emissions.jpg',quality=95)"
   ]
  }
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