{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import pandas as pd\n",
    "import re\n",
    "import os\n",
    "from cmdstanpy import cmdstan_path, CmdStanModel\n",
    "import matplotlib.pyplot as plt\n",
    "import scipy as sci\n",
    "import stan_helpers as sh"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Processing data from AMW/5HTP experiments"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "ser_drugs=pd.read_csv(\"serotonin_drug-longform.csv\")\n",
    "serotonin_mutants=pd.read_csv(\"serotonin_mutant_longform.csv\")\n",
    "serotonin_mutants[\"Batch #\"]=serotonin_mutants[\"Batch #\"]+3\n",
    "serall=pd.concat([serotonin_mutants,ser_drugs])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
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       "      <th>Batch #</th>\n",
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       "      <th>5-HTP</th>\n",
       "      <td>192</td>\n",
       "      <td>192</td>\n",
       "      <td>192</td>\n",
       "      <td>192</td>\n",
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       "      <td>192</td>\n",
       "      <td>173</td>\n",
       "    </tr>\n",
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       "      <th>aMW</th>\n",
       "      <td>192</td>\n",
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       "      <td>192</td>\n",
       "      <td>192</td>\n",
       "      <td>192</td>\n",
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      ],
      "text/plain": [
       "                Unnamed: 0  Batch #  Fly ID  Date  Day  nTurns  rBias\n",
       "Drug Treatment                                                       \n",
       "5-HTP                  192      192     192   192  192     192    173\n",
       "Control                192      192     192   192  192     192    186\n",
       "aMW                    192      192     192   192  192     192    184"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "ser_drugs[ser_drugs[\"Day\"].isin([1])].groupby(\"Drug Treatment\").count()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
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       "      <th>5-HTP</th>\n",
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      "text/plain": [
       "                Unnamed: 0  Batch #  Fly ID  Date   Day  nTurns  rBias\n",
       "Drug Treatment                                                        \n",
       "5-HTP                 1728     1728    1728  1728  1728    1727    826\n",
       "Control               1728     1728    1728  1728  1728    1728   1287\n",
       "aMW                   1728     1728    1728  1728  1728    1728   1111"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ser_drugs.groupby(\"Drug Treatment\").count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
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      ],
      "text/plain": [
       "      Unnamed: 0  Batch #  Fly ID  Date  Day Drug Treatment  nTurns     rBias\n",
       "0              0        4       1   5/4    1            TrH     466  0.526882\n",
       "1              1        4       2   5/4    1            TrH     500  0.442886\n",
       "2              2        4       3   5/4    1            TrH     567  0.556537\n",
       "3              3        4       4   5/4    1            TrH     526  0.565714\n",
       "4              4        4       5   5/4    1            TrH     370  0.696477\n",
       "...          ...      ...     ...   ...  ...            ...     ...       ...\n",
       "1723        1723        4      92  5/20   17        control      -1       NaN\n",
       "1724        1724        4      93  5/20   17        control      -1       NaN\n",
       "1725        1725        4      94  5/20   17        control      -1       NaN\n",
       "1726        1726        4      95  5/20   17        control      -1       NaN\n",
       "1727        1727        4      96  5/20   17        control      -1       NaN\n",
       "\n",
       "[1728 rows x 8 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "serotonin_mutants[\"Drug Treatment\"]=pd.Categorical(serotonin_mutants[\"Drug Treatment\"])\n",
    "serotonin_mutants"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
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       "                Unnamed: 0  Batch #  Fly ID  Date  Day  nTurns  rBias\n",
       "Drug Treatment                                                       \n",
       "TrH                     96       96      96    96   96      96     93\n",
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      ]
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     "metadata": {},
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   ],
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    "serotonin_mutants[serotonin_mutants[\"Day\"].isin([1])].groupby(\"Drug Treatment\").count()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
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       "      <td>2/22</td>\n",
       "      <td>17</td>\n",
       "      <td>aMW</td>\n",
       "      <td>222.0</td>\n",
       "      <td>0.271493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5182</th>\n",
       "      <td>5182</td>\n",
       "      <td>3</td>\n",
       "      <td>95</td>\n",
       "      <td>2/22</td>\n",
       "      <td>17</td>\n",
       "      <td>aMW</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5183</th>\n",
       "      <td>5183</td>\n",
       "      <td>3</td>\n",
       "      <td>96</td>\n",
       "      <td>2/22</td>\n",
       "      <td>17</td>\n",
       "      <td>aMW</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>6912 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Unnamed: 0  Batch #  Fly ID  Date  Day Drug Treatment  nTurns     rBias\n",
       "0              0        4       1   5/4    1            TrH   466.0  0.526882\n",
       "1              1        4       2   5/4    1            TrH   500.0  0.442886\n",
       "2              2        4       3   5/4    1            TrH   567.0  0.556537\n",
       "3              3        4       4   5/4    1            TrH   526.0  0.565714\n",
       "4              4        4       5   5/4    1            TrH   370.0  0.696477\n",
       "...          ...      ...     ...   ...  ...            ...     ...       ...\n",
       "5179        5179        3      92  2/22   17            aMW    -1.0       NaN\n",
       "5180        5180        3      93  2/22   17            aMW    -1.0       NaN\n",
       "5181        5181        3      94  2/22   17            aMW   222.0  0.271493\n",
       "5182        5182        3      95  2/22   17            aMW    -1.0       NaN\n",
       "5183        5183        3      96  2/22   17            aMW    -1.0       NaN\n",
       "\n",
       "[6912 rows x 8 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# serall=pd.concat([serotonin_mutants,ser_drugs])\n",
    "serall[\"Drug Treatment\"]=pd.Categorical(serall[\"Drug Treatment\"])\n",
    "serall"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(576,)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ser_drugs[\"uID\"]=pd.Categorical(\"F\"+pd.Series(ser_drugs[\"Fly ID\"], dtype=str)+\"B\"+pd.Series(ser_drugs[\"Batch #\"], dtype=str) + \"C\" + pd.Series(ser_drugs[\"Drug Treatment\"], dtype=str)).codes\n",
    "ser_drugs[\"uID\"].unique().shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(192,)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "serotonin_mutants[\"uID\"]=pd.Categorical(\"F\"+pd.Series(serotonin_mutants[\"Fly ID\"], dtype=str)+\"B\"+pd.Series(serotonin_mutants[\"Batch #\"], dtype=str) + \"C\" + pd.Series(serotonin_mutants[\"Drug Treatment\"], dtype=str)).codes\n",
    "serotonin_mutants[\"uID\"].unique().shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(768,)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "serall[\"uID\"]=pd.Categorical(\"F\"+pd.Series(serall[\"Fly ID\"], dtype=str)+\"B\"+pd.Series(serall[\"Batch #\"], dtype=str) + \"C\" + pd.Series(serall[\"Drug Treatment\"], dtype=str)).codes\n",
    "serall[\"uID\"].unique().shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "def return_stan_dict(serall):\n",
    "  #This function does the necessary processing to prepare a dictionary for STAN\n",
    "  # serall[\"uID\"]=pd.Categorical(\"F\"+pd.Series(serall[\"Fly ID\"], dtype=str)+\"B\"+pd.Series(serall[\"Batch #\"], dtype=str) + \"C\" + pd.Series(serall[\"Drug Treatment\"], dtype=str)).codes\n",
    "  # len(serall[\"uID\"].unique())\n",
    "  serall[\"x\"]=np.array(((serall[\"nTurns\"]+1)*serall[\"rBias\"]), dtype=int)\n",
    "  # serall.dropna()\n",
    "  serall_obs=serall.dropna()\n",
    "  serall_obs=serall_obs[serall_obs[\"nTurns\"]>0]\n",
    "  # serall_obs\n",
    "  serall_mis=serall.drop(serall_obs.index)\n",
    "  # serall_mis\n",
    "  posnturns=serall[serall[\"nTurns\"]>0]\n",
    "  posnturns[posnturns.isna().any(axis=1)]\n",
    "  serna=serall[serall.isna().any(axis=1)]\n",
    "  serna[serna[\"nTurns\"]>0]\n",
    "  serall[serall[\"nTurns\"]>0].isna().any(axis=1)\n",
    "  #select from serall all rows where rBias is Nan or nTurns is less than 1\n",
    "  serna=serall[serall.isna().any(axis=1)]\n",
    "  serna=serna[serna[\"nTurns\"]<0]\n",
    "  # serna\n",
    "\n",
    "  serall[serall[\"nTurns\"]>0]\n",
    "  serall[serall[\"nTurns\"]<1].dropna()\n",
    "  # serall_mis=serall[serall.isna().any(axis=1)]\n",
    "  # # serall_mis=serall[serall[serall[\"nTurns\"]>0].isna().any(axis=1)]\n",
    "  # serall_mis=pd.concat(serall_mis, serall[serall[\"nTurns\"]<1])\n",
    "  # np.array(np.nan, dtype=int)\n",
    "  # skt_unmelted_mis_b=skt_unmelted_mis\n",
    "  dummyrow=serall_mis.iloc[0,:]\n",
    "  # dummyrow\n",
    "  actualdays=np.unique(serall_mis[\"Day\"])\n",
    "  fullrange=np.arange(0,np.max(actualdays), dtype=float)\n",
    "  for ii, i in enumerate(actualdays):\n",
    "    for jj, j in enumerate(fullrange):\n",
    "      if j==i:\n",
    "        # print(j)\n",
    "        # print(i)\n",
    "        fullrange[jj]=np.nan\n",
    "\n",
    "\n",
    "  missingdays=np.array(pd.Series(fullrange).dropna(), dtype=int)\n",
    "\n",
    "\n",
    "  # np.unique(serall_obs[\"Day\"])\n",
    "  for i in range(serall[\"uID\"].unique().shape[0]):\n",
    "    dummyrownew=dummyrow.copy()\n",
    "    dummyrownew.loc['uID']=int(i)\n",
    "    for j in missingdays:\n",
    "      dummyrownew.loc['Day']=int(j)\n",
    "      serall_mis=pd.concat([serall_mis, pd.DataFrame(dummyrownew).T])\n",
    "      # skt_unmelted_mis_b.append(dummyrow)\n",
    "  # serall[\"uID\"].unique().shape[0]\n",
    "  # pd.Categorical(serall[\"uID\"]).codes.max()\n",
    "  # np.array(serall[\"Day\"], dtype=int)+1\n",
    "  # serall_mis[\"uID\"]\n",
    "  # serall\n",
    "  # (pd.Categorical(serall[\"Drug Treatment\"]).codes+1).shape\n",
    "  serall_u=serall.drop_duplicates(subset=\"uID\").sort_values(\"uID\")\n",
    "  # serall_u\n",
    "  # serall0=serall[serall[\"uID\"]==0]\n",
    "  # seralld1=serall[serall0[\"Day\"]==1]\n",
    "  # seralld1\n",
    "  # serall[serall[serall[\"Day\"]==1][\"uID\"==0]]\n",
    "  # serall[serall[\"Day\"]==1].value_counts(subset=\"uID\")\n",
    "  groups=pd.Categorical(serall_u[\"Drug Treatment\"])\n",
    "  categories=groups.categories\n",
    "  codes=groups.codes+1\n",
    "\n",
    "  # serall[\"uID\"].unique().shape[0]\n",
    "  # del dgrp_data_ser_m6\n",
    "  stan_dict={\n",
    "    \"N\": serall[\"uID\"].unique().shape[0], # skt.shape[0], #Total number of flies\n",
    "    \"S\": serall[\"Drug Treatment\"].unique().shape[0], #Total number of Lines\n",
    "    \n",
    "    \"T\": int(serall[\"Day\"].max()+1), #Total number of Days. (1 is because stan is 1 indexing).\n",
    "    \"s\": codes, # list of line number per fly\n",
    "    \"fly_i_obs\": serall_obs[\"uID\"]+1, # indexes of fly number for flattened observations\n",
    "    \"time_i_obs\": np.array(serall_obs[\"Day\"], dtype=int)+1, # indexes of fly number for flattened observations\n",
    "    \"t_obs\": serall_obs['nTurns'].shape[0], # total number of observed trials\n",
    "    \"x_obs\": np.array(serall_obs['x'], dtype=int), # flattened array with number of right turns for each obs\n",
    "    \"n_obs\": np.array(serall_obs['nTurns']+1, dtype=int), # flattened array with number of total turns for each obs\n",
    "    \"fly_i_mis\": np.array(serall_mis[\"uID\"], dtype=int)+1, # indexes of fly number for flattened observations\n",
    "    \"time_i_mis\": np.array(serall_mis[\"Day\"], dtype=int)+1, # indexes of day number for flattened observations\n",
    "    \"t_mis\": serall_mis['nTurns'].shape[0] # total number of observed trials\n",
    "    # \"x_mis\": np.array(skt_unmelted['x'], dtype=int), # flattened array with number of right turns for each obs\n",
    "    # \"n_mis\": np.array(skt_unmelted['n'], dtype=int) # flattened array with number of total turns for each obs\n",
    "  }\n",
    "  return stan_dict, categories"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "mutant_stan_dict, mutant_categories=return_stan_dict(serotonin_mutants)\n",
    "drug_stan_dict, drug_categories=return_stan_dict(ser_drugs)\n",
    "all_stan_dict, drug_categories=return_stan_dict(serall)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# AMW vs Control vs 5HTP"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First Set of experiments"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'N': 576,\n",
       " 'S': 3,\n",
       " 'T': 18,\n",
       " 's': array([2, 3, 1, 2, 1, 3, 2, 3, 1, 2, 1, 3, 2, 3, 1, 2, 1, 3, 2, 3, 1, 2,\n",
       "        1, 3, 2, 3, 1, 2, 1, 3, 2, 3, 1, 2, 1, 3, 2, 3, 1, 2, 1, 3, 2, 3,\n",
       "        1, 2, 1, 3, 2, 3, 1, 2, 1, 3, 2, 3, 1, 2, 1, 3, 2, 3, 1, 2, 1, 3,\n",
       "        2, 3, 1, 2, 1, 3, 2, 3, 1, 2, 1, 3, 2, 3, 1, 2, 1, 3, 2, 3, 1, 2,\n",
       "        1, 3, 2, 3, 1, 2, 1, 3, 2, 3, 1, 2, 1, 3, 2, 3, 1, 2, 1, 3, 2, 3,\n",
       "        1, 2, 1, 3, 2, 3, 1, 2, 1, 3, 2, 3, 1, 2, 1, 3, 2, 3, 1, 2, 1, 3,\n",
       "        2, 3, 1, 2, 1, 3, 2, 3, 1, 2, 1, 3, 2, 3, 1, 2, 1, 3, 2, 3, 1, 2,\n",
       "        1, 3, 2, 3, 1, 2, 1, 3, 2, 3, 1, 2, 1, 3, 2, 3, 1, 2, 1, 3, 2, 3,\n",
       "        1, 2, 1, 3, 2, 3, 1, 2, 1, 3, 2, 3, 1, 2, 1, 3, 2, 3, 1, 2, 1, 3,\n",
       "        2, 3, 1, 2, 1, 3, 2, 3, 1, 2, 1, 3, 2, 3, 1, 2, 1, 3, 2, 3, 1, 2,\n",
       "        1, 3, 2, 3, 1, 2, 1, 3, 2, 3, 1, 2, 1, 3, 2, 3, 1, 2, 1, 3, 2, 3,\n",
       "        1, 2, 1, 3, 2, 3, 1, 2, 1, 3, 2, 3, 1, 2, 1, 3, 2, 3, 1, 2, 1, 3,\n",
       "        2, 3, 1, 2, 1, 3, 2, 3, 1, 2, 1, 3, 2, 3, 1, 2, 1, 3, 2, 3, 1, 2,\n",
       "        1, 3, 2, 3, 1, 2, 1, 3, 2, 3, 1, 2, 1, 3, 2, 3, 1, 2, 1, 3, 2, 3,\n",
       "        1, 2, 1, 3, 2, 3, 1, 2, 1, 3, 2, 3, 1, 2, 1, 3, 2, 3, 1, 2, 1, 3,\n",
       "        2, 3, 1, 2, 1, 3, 2, 3, 1, 2, 1, 3, 2, 3, 1, 2, 1, 3, 2, 3, 1, 2,\n",
       "        1, 3, 2, 3, 1, 2, 1, 3, 2, 3, 1, 2, 1, 3, 2, 3, 1, 2, 1, 3, 2, 3,\n",
       "        1, 2, 1, 3, 2, 3, 1, 2, 1, 3, 2, 3, 1, 2, 1, 3, 2, 3, 1, 2, 1, 3,\n",
       "        2, 3, 1, 2, 1, 3, 2, 3, 1, 2, 1, 3, 2, 3, 1, 2, 1, 3, 2, 3, 1, 2,\n",
       "        1, 3, 2, 3, 1, 2, 1, 3, 2, 3, 1, 2, 1, 3, 2, 3, 1, 2, 1, 3, 2, 3,\n",
       "        1, 2, 1, 3, 2, 3, 1, 2, 1, 3, 2, 3, 1, 2, 1, 3, 2, 3, 1, 2, 1, 3,\n",
       "        2, 3, 1, 2, 1, 3, 2, 3, 1, 2, 1, 3, 2, 3, 1, 2, 1, 3, 2, 3, 1, 2,\n",
       "        1, 3, 2, 3, 1, 2, 1, 3, 2, 3, 1, 2, 1, 3, 2, 3, 1, 2, 1, 3, 2, 3,\n",
       "        1, 2, 1, 3, 2, 3, 1, 2, 1, 3, 2, 3, 1, 2, 1, 3, 2, 3, 1, 2, 1, 3,\n",
       "        2, 3, 1, 2, 1, 3, 2, 3, 1, 2, 1, 3, 2, 3, 1, 2, 1, 3, 2, 3, 1, 2,\n",
       "        1, 3, 2, 3, 1, 2, 1, 3, 2, 3, 1, 2, 1, 3, 2, 3, 1, 2, 1, 3, 2, 3,\n",
       "        1, 2, 1, 3], dtype=int8),\n",
       " 'fly_i_obs': 0        62\n",
       " 1       128\n",
       " 2       194\n",
       " 3       260\n",
       " 4       326\n",
       "        ... \n",
       " 5162    432\n",
       " 5165    450\n",
       " 5166    456\n",
       " 5169    480\n",
       " 5181    558\n",
       " Name: uID, Length: 3221, dtype: int16,\n",
       " 'time_i_obs': array([ 2,  2,  2, ..., 18, 18, 18]),\n",
       " 't_obs': 3221,\n",
       " 'x_obs': array([496,   5, 253, ..., 165,  30,  60]),\n",
       " 'n_obs': array([904,  13, 554, ..., 274,  75, 223]),\n",
       " 'fly_i_mis': array([  2, 368,  20, ..., 576, 576, 576]),\n",
       " 'time_i_mis': array([ 2,  2,  3, ..., 13, 14, 15]),\n",
       " 't_mis': 7147}"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "drug_stan_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "# # del dgrp_data_ser_m6\n",
    "# dgrp_data_ser_m6={\n",
    "#   \"N\": serall[\"uID\"].unique().shape[0], # skt.shape[0], #Total number of flies\n",
    "#   \"S\": serall[\"Drug Treatment\"].unique().shape[0], #Total number of Lines\n",
    "  \n",
    "#   \"T\": int(serall[\"Day\"].max()+1), #Total number of Days. Changed this to 2 as hack, but I forget why (1 is because stan is 1 indexing). Maybe unmelted mis is higher?\n",
    "#   \"s\": pd.Categorical(serall_u[\"Drug Treatment\"]).codes+1, # list of line number per fly\n",
    "#   \"fly_i_obs\": serall_obs[\"uID\"]+1, # indexes of fly number for flattened observations\n",
    "#   \"time_i_obs\": np.array(serall_obs[\"Day\"], dtype=int)+1, # indexes of fly number for flattened observations\n",
    "#   \"t_obs\": serall_obs['nTurns'].shape[0], # total number of observed trials\n",
    "#   \"x_obs\": np.array(serall_obs['x'], dtype=int), # flattened array with number of right turns for each obs\n",
    "#   \"n_obs\": np.array(serall_obs['nTurns']+1, dtype=int), # flattened array with number of total turns for each obs\n",
    "#   \"fly_i_mis\": np.array(serall_mis[\"uID\"], dtype=int)+1, # indexes of fly number for flattened observations\n",
    "#   \"time_i_mis\": np.array(serall_mis[\"Day\"], dtype=int)+1, # indexes of day number for flattened observations\n",
    "#   \"t_mis\": serall_mis['nTurns'].shape[0] # total number of observed trials\n",
    "#   # \"x_mis\": np.array(skt_unmelted['x'], dtype=int), # flattened array with number of right turns for each obs\n",
    "#   # \"n_mis\": np.array(skt_unmelted['n'], dtype=int) # flattened array with number of total turns for each obs\n",
    "# }\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "14:59:24 - cmdstanpy - INFO - compiling stan file /Users/ryanmaloney/Documents/GitHub/DGRP experiments/dmodel6_AR_transformed.stan to exe file /Users/ryanmaloney/Documents/GitHub/DGRP experiments/dmodel6_AR_transformed\n",
      "14:59:35 - cmdstanpy - INFO - compiled model executable: /Users/ryanmaloney/Documents/GitHub/DGRP experiments/dmodel6_AR_transformed\n"
     ]
    }
   ],
   "source": [
    "modelname=\"dmodel6_AR_transformed\"\n",
    "# modelname=\"dmodel6_AR_singlephi\"\n",
    "if os.path.exists(modelname):\n",
    "  os.remove(modelname)\n",
    "\n",
    "stan_file=modelname+\".stan\"\n",
    "# stan_file=\"dgrp_model_test.stan\"\n",
    "model3 = CmdStanModel(stan_file=stan_file)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "15:00:26 - cmdstanpy - INFO - CmdStan start processing\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "aa09cca7a6c54e77a87753b750098a69",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "chain 1 |          | 00:00 Status"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "91f4940689c849b4b7de9eae73a5ed7e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "chain 2 |          | 00:00 Status"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9bf6734863cb4258b3118538f53bedd7",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "chain 3 |          | 00:00 Status"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1f32a60aa2834945b6176b3377de9b57",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "chain 4 |          | 00:00 Status"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                                                                                                                                                                                                                                                                                                                                "
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "15:02:20 - cmdstanpy - INFO - CmdStan done processing.\n",
      "15:02:20 - cmdstanpy - WARNING - Non-fatal error during sampling:\n",
      "Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/var/folders/s_/7_g1r1fs2wdcxn113q39_gzw0000gn/T/tmp7r9smqxq/tmpnejj9hgt.stan', line 78, column 10 to column 51)\n",
      "\tException: normal_lpdf: Scale parameter is 0, but must be positive! (in '/var/folders/s_/7_g1r1fs2wdcxn113q39_gzw0000gn/T/tmp7r9smqxq/tmpnejj9hgt.stan', line 78, column 10 to column 51)\n",
      "\tException: normal_lpdf: Scale parameter is 0, but must be positive! (in '/var/folders/s_/7_g1r1fs2wdcxn113q39_gzw0000gn/T/tmp7r9smqxq/tmpnejj9hgt.stan', line 74, column 8 to column 34)\n",
      "\tException: normal_lpdf: Scale parameter is 0, but must be positive! (in '/var/folders/s_/7_g1r1fs2wdcxn113q39_gzw0000gn/T/tmp7r9smqxq/tmpnejj9hgt.stan', line 78, column 10 to column 51)\n",
      "Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/var/folders/s_/7_g1r1fs2wdcxn113q39_gzw0000gn/T/tmp7r9smqxq/tmpnejj9hgt.stan', line 74, column 8 to column 34)\n",
      "Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/var/folders/s_/7_g1r1fs2wdcxn113q39_gzw0000gn/T/tmp7r9smqxq/tmpnejj9hgt.stan', line 74, column 8 to column 34)\n",
      "Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/var/folders/s_/7_g1r1fs2wdcxn113q39_gzw0000gn/T/tmp7r9smqxq/tmpnejj9hgt.stan', line 78, column 10 to column 51)\n",
      "\tException: normal_lpdf: Scale parameter is 0, but must be positive! (in '/var/folders/s_/7_g1r1fs2wdcxn113q39_gzw0000gn/T/tmp7r9smqxq/tmpnejj9hgt.stan', line 78, column 10 to column 51)\n",
      "\tException: normal_lpdf: Scale parameter is 0, but must be positive! (in '/var/folders/s_/7_g1r1fs2wdcxn113q39_gzw0000gn/T/tmp7r9smqxq/tmpnejj9hgt.stan', line 74, column 8 to column 34)\n",
      "\tException: normal_lpdf: Scale parameter is 0, but must be positive! (in '/var/folders/s_/7_g1r1fs2wdcxn113q39_gzw0000gn/T/tmp7r9smqxq/tmpnejj9hgt.stan', line 78, column 10 to column 51)\n",
      "Consider re-running with show_console=True if the above output is unclear!\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "fit3 = model3.sample(data=drug_stan_dict,\n",
    "#  show_console=True,\n",
    "#  adapt_delta=0.999,\n",
    " \n",
    "  iter_sampling=2000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Processing csv files: /var/folders/s_/7_g1r1fs2wdcxn113q39_gzw0000gn/T/tmpqgr80elm/dmodel6_AR_transformednd5j8tzh/dmodel6_AR_transformed-20240823150026_1.csv, /var/folders/s_/7_g1r1fs2wdcxn113q39_gzw0000gn/T/tmpqgr80elm/dmodel6_AR_transformednd5j8tzh/dmodel6_AR_transformed-20240823150026_2.csv, /var/folders/s_/7_g1r1fs2wdcxn113q39_gzw0000gn/T/tmpqgr80elm/dmodel6_AR_transformednd5j8tzh/dmodel6_AR_transformed-20240823150026_3.csv, /var/folders/s_/7_g1r1fs2wdcxn113q39_gzw0000gn/T/tmpqgr80elm/dmodel6_AR_transformednd5j8tzh/dmodel6_AR_transformed-20240823150026_4.csv\n",
      "\n",
      "Checking sampler transitions treedepth.\n",
      "Treedepth satisfactory for all transitions.\n",
      "\n",
      "Checking sampler transitions for divergences.\n",
      "No divergent transitions found.\n",
      "\n",
      "Checking E-BFMI - sampler transitions HMC potential energy.\n",
      "The E-BFMI, 0.28, is below the nominal threshold of 0.30 which suggests that HMC may have trouble exploring the target distribution.\n",
      "If possible, try to reparameterize the model.\n",
      "\n",
      "Effective sample size satisfactory.\n",
      "\n",
      "Split R-hat values satisfactory all parameters.\n",
      "\n",
      "Processing complete.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(fit3.diagnose())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['5-HTP', 'Control', 'aMW'], dtype='object')"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.Categorical(ser_drugs[\"Drug Treatment\"]).categories"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CmdStanMCMC: model=dmodel6_AR_transformed chains=4['method=sample', 'num_samples=2000', 'algorithm=hmc', 'adapt', 'engaged=1']\n",
       " csv_files:\n",
       "\t/var/folders/s_/7_g1r1fs2wdcxn113q39_gzw0000gn/T/tmpqgr80elm/dmodel6_AR_transformednd5j8tzh/dmodel6_AR_transformed-20240823150026_1.csv\n",
       "\t/var/folders/s_/7_g1r1fs2wdcxn113q39_gzw0000gn/T/tmpqgr80elm/dmodel6_AR_transformednd5j8tzh/dmodel6_AR_transformed-20240823150026_2.csv\n",
       "\t/var/folders/s_/7_g1r1fs2wdcxn113q39_gzw0000gn/T/tmpqgr80elm/dmodel6_AR_transformednd5j8tzh/dmodel6_AR_transformed-20240823150026_3.csv\n",
       "\t/var/folders/s_/7_g1r1fs2wdcxn113q39_gzw0000gn/T/tmpqgr80elm/dmodel6_AR_transformednd5j8tzh/dmodel6_AR_transformed-20240823150026_4.csv\n",
       " output_files:\n",
       "\t/var/folders/s_/7_g1r1fs2wdcxn113q39_gzw0000gn/T/tmpqgr80elm/dmodel6_AR_transformednd5j8tzh/dmodel6_AR_transformed-20240823150026_0-stdout.txt\n",
       "\t/var/folders/s_/7_g1r1fs2wdcxn113q39_gzw0000gn/T/tmpqgr80elm/dmodel6_AR_transformednd5j8tzh/dmodel6_AR_transformed-20240823150026_1-stdout.txt\n",
       "\t/var/folders/s_/7_g1r1fs2wdcxn113q39_gzw0000gn/T/tmpqgr80elm/dmodel6_AR_transformednd5j8tzh/dmodel6_AR_transformed-20240823150026_2-stdout.txt\n",
       "\t/var/folders/s_/7_g1r1fs2wdcxn113q39_gzw0000gn/T/tmpqgr80elm/dmodel6_AR_transformednd5j8tzh/dmodel6_AR_transformed-20240823150026_3-stdout.txt"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fit3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Mean</th>\n",
       "      <th>MCSE</th>\n",
       "      <th>StdDev</th>\n",
       "      <th>5%</th>\n",
       "      <th>50%</th>\n",
       "      <th>95%</th>\n",
       "      <th>N_Eff</th>\n",
       "      <th>N_Eff/s</th>\n",
       "      <th>R_hat</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>lp__</th>\n",
       "      <td>-900183.000000</td>\n",
       "      <td>12.732300</td>\n",
       "      <td>177.039000</td>\n",
       "      <td>-900481.000000</td>\n",
       "      <td>-900181.000000</td>\n",
       "      <td>-899894.000000</td>\n",
       "      <td>193.341</td>\n",
       "      <td>0.677369</td>\n",
       "      <td>1.017500</td>\n",
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       "    <tr>\n",
       "      <th>R_obs[1]</th>\n",
       "      <td>0.188468</td>\n",
       "      <td>0.000511</td>\n",
       "      <td>0.064602</td>\n",
       "      <td>0.082196</td>\n",
       "      <td>0.188236</td>\n",
       "      <td>0.294722</td>\n",
       "      <td>15974.700</td>\n",
       "      <td>55.967300</td>\n",
       "      <td>0.999746</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R_obs[2]</th>\n",
       "      <td>-0.175520</td>\n",
       "      <td>0.003065</td>\n",
       "      <td>0.359675</td>\n",
       "      <td>-0.769667</td>\n",
       "      <td>-0.172307</td>\n",
       "      <td>0.418824</td>\n",
       "      <td>13772.300</td>\n",
       "      <td>48.251100</td>\n",
       "      <td>0.999611</td>\n",
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       "    <tr>\n",
       "      <th>R_obs[3]</th>\n",
       "      <td>-0.171503</td>\n",
       "      <td>0.000681</td>\n",
       "      <td>0.082877</td>\n",
       "      <td>-0.309322</td>\n",
       "      <td>-0.172196</td>\n",
       "      <td>-0.034108</td>\n",
       "      <td>14808.200</td>\n",
       "      <td>51.880300</td>\n",
       "      <td>0.999791</td>\n",
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       "    <tr>\n",
       "      <th>R_obs[4]</th>\n",
       "      <td>-0.182912</td>\n",
       "      <td>0.001010</td>\n",
       "      <td>0.122847</td>\n",
       "      <td>-0.384754</td>\n",
       "      <td>-0.182794</td>\n",
       "      <td>0.015003</td>\n",
       "      <td>14782.300</td>\n",
       "      <td>51.789500</td>\n",
       "      <td>0.999640</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>R[576,14]</th>\n",
       "      <td>0.001238</td>\n",
       "      <td>0.004870</td>\n",
       "      <td>0.515603</td>\n",
       "      <td>-0.854089</td>\n",
       "      <td>-0.001028</td>\n",
       "      <td>0.854183</td>\n",
       "      <td>11208.700</td>\n",
       "      <td>39.269600</td>\n",
       "      <td>1.000110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R[576,15]</th>\n",
       "      <td>0.002669</td>\n",
       "      <td>0.005118</td>\n",
       "      <td>0.520080</td>\n",
       "      <td>-0.854308</td>\n",
       "      <td>0.003555</td>\n",
       "      <td>0.857687</td>\n",
       "      <td>10325.600</td>\n",
       "      <td>36.175500</td>\n",
       "      <td>1.000170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R[576,16]</th>\n",
       "      <td>0.001180</td>\n",
       "      <td>0.005071</td>\n",
       "      <td>0.522638</td>\n",
       "      <td>-0.866672</td>\n",
       "      <td>0.008402</td>\n",
       "      <td>0.847027</td>\n",
       "      <td>10622.500</td>\n",
       "      <td>37.215900</td>\n",
       "      <td>0.999718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R[576,17]</th>\n",
       "      <td>-0.014424</td>\n",
       "      <td>0.004878</td>\n",
       "      <td>0.505939</td>\n",
       "      <td>-0.855685</td>\n",
       "      <td>-0.007806</td>\n",
       "      <td>0.810564</td>\n",
       "      <td>10758.400</td>\n",
       "      <td>37.691900</td>\n",
       "      <td>0.999636</td>\n",
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       "    <tr>\n",
       "      <th>R[576,18]</th>\n",
       "      <td>-0.008708</td>\n",
       "      <td>0.004477</td>\n",
       "      <td>0.509213</td>\n",
       "      <td>-0.844427</td>\n",
       "      <td>-0.008829</td>\n",
       "      <td>0.826225</td>\n",
       "      <td>12938.400</td>\n",
       "      <td>45.329600</td>\n",
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       "</table>\n",
       "<p>20746 rows × 9 columns</p>\n",
       "</div>"
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      "text/plain": [
       "                    Mean       MCSE      StdDev             5%            50%  \\\n",
       "lp__      -900183.000000  12.732300  177.039000 -900481.000000 -900181.000000   \n",
       "R_obs[1]        0.188468   0.000511    0.064602       0.082196       0.188236   \n",
       "R_obs[2]       -0.175520   0.003065    0.359675      -0.769667      -0.172307   \n",
       "R_obs[3]       -0.171503   0.000681    0.082877      -0.309322      -0.172196   \n",
       "R_obs[4]       -0.182912   0.001010    0.122847      -0.384754      -0.182794   \n",
       "...                  ...        ...         ...            ...            ...   \n",
       "R[576,14]       0.001238   0.004870    0.515603      -0.854089      -0.001028   \n",
       "R[576,15]       0.002669   0.005118    0.520080      -0.854308       0.003555   \n",
       "R[576,16]       0.001180   0.005071    0.522638      -0.866672       0.008402   \n",
       "R[576,17]      -0.014424   0.004878    0.505939      -0.855685      -0.007806   \n",
       "R[576,18]      -0.008708   0.004477    0.509213      -0.844427      -0.008829   \n",
       "\n",
       "                     95%      N_Eff    N_Eff/s     R_hat  \n",
       "lp__      -899894.000000    193.341   0.677369  1.017500  \n",
       "R_obs[1]        0.294722  15974.700  55.967300  0.999746  \n",
       "R_obs[2]        0.418824  13772.300  48.251100  0.999611  \n",
       "R_obs[3]       -0.034108  14808.200  51.880300  0.999791  \n",
       "R_obs[4]        0.015003  14782.300  51.789500  0.999640  \n",
       "...                  ...        ...        ...       ...  \n",
       "R[576,14]       0.854183  11208.700  39.269600  1.000110  \n",
       "R[576,15]       0.857687  10325.600  36.175500  1.000170  \n",
       "R[576,16]       0.847027  10622.500  37.215900  0.999718  \n",
       "R[576,17]       0.810564  10758.400  37.691900  0.999636  \n",
       "R[576,18]       0.826225  12938.400  45.329600  0.999728  \n",
       "\n",
       "[20746 rows x 9 columns]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fit3.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>accept_stat__</th>\n",
       "      <th>stepsize__</th>\n",
       "      <th>treedepth__</th>\n",
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       "      <th>R_obs[1]</th>\n",
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       "      <th>0</th>\n",
       "      <td>-900015.0</td>\n",
       "      <td>0.671112</td>\n",
       "      <td>0.099003</td>\n",
       "      <td>6.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>905261.0</td>\n",
       "      <td>0.292494</td>\n",
       "      <td>-0.176935</td>\n",
       "      <td>-0.204464</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.526559</td>\n",
       "      <td>0.656662</td>\n",
       "      <td>0.330105</td>\n",
       "      <td>0.781359</td>\n",
       "      <td>-0.409820</td>\n",
       "      <td>0.983802</td>\n",
       "      <td>0.665781</td>\n",
       "      <td>-0.764237</td>\n",
       "      <td>0.274051</td>\n",
       "      <td>-0.666207</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-900035.0</td>\n",
       "      <td>0.865096</td>\n",
       "      <td>0.099003</td>\n",
       "      <td>6.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>905251.0</td>\n",
       "      <td>0.101357</td>\n",
       "      <td>-0.305011</td>\n",
       "      <td>-0.132484</td>\n",
       "      <td>...</td>\n",
       "      <td>0.760035</td>\n",
       "      <td>0.804955</td>\n",
       "      <td>-0.576434</td>\n",
       "      <td>-0.826648</td>\n",
       "      <td>0.010084</td>\n",
       "      <td>-0.357578</td>\n",
       "      <td>-0.693482</td>\n",
       "      <td>0.648639</td>\n",
       "      <td>-0.214105</td>\n",
       "      <td>0.607376</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-899886.0</td>\n",
       "      <td>0.967989</td>\n",
       "      <td>0.099003</td>\n",
       "      <td>6.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>905107.0</td>\n",
       "      <td>0.168941</td>\n",
       "      <td>0.093950</td>\n",
       "      <td>-0.154341</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.604646</td>\n",
       "      <td>0.642938</td>\n",
       "      <td>-0.144596</td>\n",
       "      <td>0.309663</td>\n",
       "      <td>-0.278206</td>\n",
       "      <td>0.198696</td>\n",
       "      <td>-0.437027</td>\n",
       "      <td>-0.050221</td>\n",
       "      <td>-0.036297</td>\n",
       "      <td>0.042354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-899997.0</td>\n",
       "      <td>0.657653</td>\n",
       "      <td>0.099003</td>\n",
       "      <td>6.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>905164.0</td>\n",
       "      <td>0.146428</td>\n",
       "      <td>0.254831</td>\n",
       "      <td>-0.235362</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.034740</td>\n",
       "      <td>0.679983</td>\n",
       "      <td>0.286935</td>\n",
       "      <td>-0.370292</td>\n",
       "      <td>-0.221050</td>\n",
       "      <td>-0.352187</td>\n",
       "      <td>-0.345433</td>\n",
       "      <td>0.702808</td>\n",
       "      <td>0.120189</td>\n",
       "      <td>0.281367</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-900006.0</td>\n",
       "      <td>0.744854</td>\n",
       "      <td>0.099003</td>\n",
       "      <td>6.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>905235.0</td>\n",
       "      <td>0.243665</td>\n",
       "      <td>-0.499140</td>\n",
       "      <td>-0.103118</td>\n",
       "      <td>...</td>\n",
       "      <td>1.142800</td>\n",
       "      <td>0.769855</td>\n",
       "      <td>-0.196745</td>\n",
       "      <td>0.527516</td>\n",
       "      <td>-0.246761</td>\n",
       "      <td>0.503495</td>\n",
       "      <td>0.203380</td>\n",
       "      <td>-0.572825</td>\n",
       "      <td>-0.001779</td>\n",
       "      <td>0.176972</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7995</th>\n",
       "      <td>-900209.0</td>\n",
       "      <td>0.880993</td>\n",
       "      <td>0.089656</td>\n",
       "      <td>6.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>905357.0</td>\n",
       "      <td>0.169685</td>\n",
       "      <td>-0.009634</td>\n",
       "      <td>-0.191901</td>\n",
       "      <td>...</td>\n",
       "      <td>0.055608</td>\n",
       "      <td>0.665932</td>\n",
       "      <td>-0.642155</td>\n",
       "      <td>-0.147115</td>\n",
       "      <td>-0.250557</td>\n",
       "      <td>0.305387</td>\n",
       "      <td>-0.477404</td>\n",
       "      <td>-0.264630</td>\n",
       "      <td>-0.023852</td>\n",
       "      <td>0.139704</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7996</th>\n",
       "      <td>-900061.0</td>\n",
       "      <td>0.954037</td>\n",
       "      <td>0.089656</td>\n",
       "      <td>6.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>905295.0</td>\n",
       "      <td>0.214552</td>\n",
       "      <td>-0.263070</td>\n",
       "      <td>-0.136664</td>\n",
       "      <td>...</td>\n",
       "      <td>0.205434</td>\n",
       "      <td>0.805964</td>\n",
       "      <td>0.511077</td>\n",
       "      <td>-0.032622</td>\n",
       "      <td>-0.197969</td>\n",
       "      <td>-0.670131</td>\n",
       "      <td>0.340205</td>\n",
       "      <td>-0.010419</td>\n",
       "      <td>-0.329095</td>\n",
       "      <td>-0.423899</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7997</th>\n",
       "      <td>-900219.0</td>\n",
       "      <td>0.784497</td>\n",
       "      <td>0.089656</td>\n",
       "      <td>6.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>905338.0</td>\n",
       "      <td>0.212499</td>\n",
       "      <td>0.547235</td>\n",
       "      <td>-0.145064</td>\n",
       "      <td>...</td>\n",
       "      <td>0.338271</td>\n",
       "      <td>0.893823</td>\n",
       "      <td>-0.182464</td>\n",
       "      <td>0.359417</td>\n",
       "      <td>-0.249909</td>\n",
       "      <td>-0.612889</td>\n",
       "      <td>-0.169880</td>\n",
       "      <td>-0.524155</td>\n",
       "      <td>-0.501857</td>\n",
       "      <td>0.039191</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7998</th>\n",
       "      <td>-900115.0</td>\n",
       "      <td>0.987411</td>\n",
       "      <td>0.089656</td>\n",
       "      <td>6.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>905285.0</td>\n",
       "      <td>0.226896</td>\n",
       "      <td>0.104415</td>\n",
       "      <td>-0.195785</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.118102</td>\n",
       "      <td>0.603823</td>\n",
       "      <td>-0.593058</td>\n",
       "      <td>-0.561600</td>\n",
       "      <td>-0.303646</td>\n",
       "      <td>0.808267</td>\n",
       "      <td>-0.189578</td>\n",
       "      <td>0.036885</td>\n",
       "      <td>0.066071</td>\n",
       "      <td>-0.956775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7999</th>\n",
       "      <td>-899985.0</td>\n",
       "      <td>0.923849</td>\n",
       "      <td>0.089656</td>\n",
       "      <td>6.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>905211.0</td>\n",
       "      <td>0.212271</td>\n",
       "      <td>-0.380712</td>\n",
       "      <td>-0.166649</td>\n",
       "      <td>...</td>\n",
       "      <td>0.319099</td>\n",
       "      <td>0.877011</td>\n",
       "      <td>0.691986</td>\n",
       "      <td>0.229447</td>\n",
       "      <td>-0.134398</td>\n",
       "      <td>-0.275019</td>\n",
       "      <td>0.616946</td>\n",
       "      <td>-0.695989</td>\n",
       "      <td>-0.315562</td>\n",
       "      <td>0.169136</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8000 rows × 20752 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          lp__  accept_stat__  stepsize__  treedepth__  n_leapfrog__  \\\n",
       "0    -900015.0       0.671112    0.099003          6.0          63.0   \n",
       "1    -900035.0       0.865096    0.099003          6.0          63.0   \n",
       "2    -899886.0       0.967989    0.099003          6.0          63.0   \n",
       "3    -899997.0       0.657653    0.099003          6.0          63.0   \n",
       "4    -900006.0       0.744854    0.099003          6.0          63.0   \n",
       "...        ...            ...         ...          ...           ...   \n",
       "7995 -900209.0       0.880993    0.089656          6.0          63.0   \n",
       "7996 -900061.0       0.954037    0.089656          6.0          63.0   \n",
       "7997 -900219.0       0.784497    0.089656          6.0          63.0   \n",
       "7998 -900115.0       0.987411    0.089656          6.0          63.0   \n",
       "7999 -899985.0       0.923849    0.089656          6.0          63.0   \n",
       "\n",
       "      divergent__  energy__  R_obs[1]  R_obs[2]  R_obs[3]  ...  R[567,18]  \\\n",
       "0             0.0  905261.0  0.292494 -0.176935 -0.204464  ...  -0.526559   \n",
       "1             0.0  905251.0  0.101357 -0.305011 -0.132484  ...   0.760035   \n",
       "2             0.0  905107.0  0.168941  0.093950 -0.154341  ...  -0.604646   \n",
       "3             0.0  905164.0  0.146428  0.254831 -0.235362  ...  -1.034740   \n",
       "4             0.0  905235.0  0.243665 -0.499140 -0.103118  ...   1.142800   \n",
       "...           ...       ...       ...       ...       ...  ...        ...   \n",
       "7995          0.0  905357.0  0.169685 -0.009634 -0.191901  ...   0.055608   \n",
       "7996          0.0  905295.0  0.214552 -0.263070 -0.136664  ...   0.205434   \n",
       "7997          0.0  905338.0  0.212499  0.547235 -0.145064  ...   0.338271   \n",
       "7998          0.0  905285.0  0.226896  0.104415 -0.195785  ...  -0.118102   \n",
       "7999          0.0  905211.0  0.212271 -0.380712 -0.166649  ...   0.319099   \n",
       "\n",
       "      R[568,18]  R[569,18]  R[570,18]  R[571,18]  R[572,18]  R[573,18]  \\\n",
       "0      0.656662   0.330105   0.781359  -0.409820   0.983802   0.665781   \n",
       "1      0.804955  -0.576434  -0.826648   0.010084  -0.357578  -0.693482   \n",
       "2      0.642938  -0.144596   0.309663  -0.278206   0.198696  -0.437027   \n",
       "3      0.679983   0.286935  -0.370292  -0.221050  -0.352187  -0.345433   \n",
       "4      0.769855  -0.196745   0.527516  -0.246761   0.503495   0.203380   \n",
       "...         ...        ...        ...        ...        ...        ...   \n",
       "7995   0.665932  -0.642155  -0.147115  -0.250557   0.305387  -0.477404   \n",
       "7996   0.805964   0.511077  -0.032622  -0.197969  -0.670131   0.340205   \n",
       "7997   0.893823  -0.182464   0.359417  -0.249909  -0.612889  -0.169880   \n",
       "7998   0.603823  -0.593058  -0.561600  -0.303646   0.808267  -0.189578   \n",
       "7999   0.877011   0.691986   0.229447  -0.134398  -0.275019   0.616946   \n",
       "\n",
       "      R[574,18]  R[575,18]  R[576,18]  \n",
       "0     -0.764237   0.274051  -0.666207  \n",
       "1      0.648639  -0.214105   0.607376  \n",
       "2     -0.050221  -0.036297   0.042354  \n",
       "3      0.702808   0.120189   0.281367  \n",
       "4     -0.572825  -0.001779   0.176972  \n",
       "...         ...        ...        ...  \n",
       "7995  -0.264630  -0.023852   0.139704  \n",
       "7996  -0.010419  -0.329095  -0.423899  \n",
       "7997  -0.524155  -0.501857   0.039191  \n",
       "7998   0.036885   0.066071  -0.956775  \n",
       "7999  -0.695989  -0.315562   0.169136  \n",
       "\n",
       "[8000 rows x 20752 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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xVtONt1y+DWJ1dTX+/v5s3ryZ888/n/PPP9/VU4iIiIiIiIiInLK1a9fyr3/9i5SUFGbNmsXcuXMZPXo0ALNnz2bx4sXMmTOHyZMnO695/PHHGTlyJADz5s2jXbt2LFiwgKuvvvqU1jB+/Pgaz+fMmUN0dDTbt2+nZ8+eREVFARAZGUmbNm3qHON4mfuGrP+ZZ55h+PDhAEyZMoVLLrmEiooK/P39yc7OZvLkyXTt2hWAzp07n9I9iYiIiByneEvxloiIiLiX4q2mHW+5vLKWt7c37du3x2azuXpoEREREREREZFT8vnnnxMcHIy/vz+DBw/mvPPO46677qKqqoqhQ4c6+/n4+DBgwADS09NrXD948GDn44iICLp06VKrz8nIzMzk2muvpUOHDoSGhjrLwmdnZ5/UGA1df+/evZ2PY2NjAcjPzwcgNTWV2267jQsvvJDnnnuuRrl6ERERkYZSvKV4S0RERNxL8Vbzibfcsg3iI488wtSpU2uVJBMRERERERER8YSUlBQ2b97Mjh07qKio4D//+Q9hYWEAGIZRo69pmrXa6nK8j8ViwTTNGud+r4T82LFjOXLkCLNnz2bNmjWsWbMGgMrKygbf0/E5G7L+X5d9P37ueEn6J554gh9//JFLLrmEb7/9lu7du7NgwYIGr0NEREQEFG8p3hIRERF3U7zVfOIttyRrzZw5k++++464uDi6dOnC2WefXeMQERERERERETmTgoKC6NSpE+3bt3e+sdOpUyd8fX1ZsWKFs19VVRXr16+nW7duNa5fvXq18/GxY8fYuXOns6x6VFQUeXl5Nd7Q2rx5c71rOXLkCOnp6TzyyCNccMEFdOvWjWPHjtXo4+vrC3DCyuUns/7fc9ZZZ3Hvvffy9ddfc+WVV/L222+f1PUiIiIiirdOTPGWiIiInC7FWyfWlOItb3cMOm7cOHcMKyIiIiIiIiLiMkFBQdxxxx1MnjyZiIgIEhISmDFjBmVlZdx66601+k6bNo3IyEhiYmJ4+OGHad26tfP9jxEjRnDo0CFmzJjBVVddxaJFi/jf//5HaGhonfO2atWKyMhI3nzzTWJjY8nOzmbKlCk1+kRHRxMQEMCiRYto164d/v7+zr+UPJX116e8vJzJkydz1VVXkZSUxP79+1m3bh3jx49v4KsoIiIiUj/FW4q3RERExL0UbzXNeMstyVqPP/64O4YVEREREREREXGp5557DrvdzvXXX09xcTH9+/fnq6++olWrVrX63X333WRkZNCnTx8+/fRT518HduvWjddee41nn32Wp556ivHjx3P//ffz5ptv1jmnxWLhww8/ZNKkSfTs2ZMuXbowc+ZMRowY4ezj7e3NzJkzmTZtGo899hjDhg0jLS3tlNdfHy8vL44cOcINN9zAwYMHad26NVdeeSVPPvlkw15AERERkd+heEvxloiIiLiX4q2mF28Z5m83nXSRgoICPvnkEzIzM50ZcBs3biQmJoa2bdu6Y0qXKSoqIiwsjMLCwnqzBEVERERacszQku9dREQ8r6KigqysLJKSkvD393frXGlpaaSkpHDs2DHCw8PdOldTdaLPh2KGU6fXTkREPEnxVuOieMs99NqJiIinnMlYCxRvNcSZjrfcUllr69atXHjhhYSFhbFnzx5uv/12IiIiWLBgAXv37uWdd95xx7QiIiIiIiIiIiIiIiIiIiIiIiKNlsUdg6ampnLTTTeRkZFRI+Ns9OjRLF++3B1TioiIiIiIiIiIiIiIiIiIiIiINGpuqay1bt063njjjVrtbdu2JS8vzx1TioiIiIiIiIi43IgRIzBN09PLEBEREWm2FG+JiIiIuJfircbHLZW1/P39KSoqqtW+Y8cOoqKi3DGliIiIiIiIiIiIiIiIiIiIiIhIo+aWZK3LL7+cadOmUVVVBYBhGGRnZzNlyhTGjx/vjilFREREREREREREREREREREREQaNbcka73wwgscOnSI6OhoysvLGT58OJ06dSIkJIRnnnnGHVOKiIiIiIiIiIiIiIiIiIiIiIg0at7uGDQ0NJQVK1bw7bffsnHjRux2O2effTYXXnihO6YTERERERERERERERERERERERFp9FyWrBUREcHOnTtp3bo1t9xyCy+//DLnn38+559/vqumEBERERERERERERERERERERERabJctg1iZWUlRUVFAMybN4+KigpXDS0iIiIiIiIiIiIiIiIiIiIiItLkuayy1uDBgxk3bhzJycmYpsmkSZMICAios+9bb73lqmlFRERERERERERERERERERERESaBJdV1nrvvfcYM2YMJSUlGIZBYWEhx44dq/MQEREREREREWlpnnjiCQzDqHG0adPmhNckJiby0ksv1TlW3759nX1+O+6vjxEjRtTqFxgYSM+ePXnjjTdcfJciIiIinqN4S0RERMS9FG+5hssqa8XExPDcc88BkJSUxLvvvktkZKSrhhcRERERERERafJ69OjBN99843zu5eV12mOuW7cOm80GwPfff8/48ePZsWMHoaGhAPj6+jr7Tps2jdtvv52SkhLmzp3LxIkTCQ8PZ8KECae9DhEREZHGQPGWiIiIiHsp3jp9LkvW+rWsrCzn44qKCvz9/d0xjYiIiIiIiIgIpmlSXmXzyNwBPl4YhtHg/t7e3r/714YnKyoqyvk4IiICgOjoaMLDw2v1DQkJcc7/9NNP8+9//5uFCxc2qTezRERE5MxTvKV4S0RERNxL8VbLirfckqxlt9t55plneP311zl48CA7d+6kQ4cOPProoyQmJnLrrbe6Y1oRERERERERaYHKq2x0f+wrj8y9fdpFBPo2/O2VjIwM4uLi8PPzY+DAgTz77LN06NDBjSs8MX9/f6qqqjw2v4iIiDQNirdOneItERERaQjFW6euKcZbFncM+vTTTzN37lxmzJhRoxRZr169+Oc//+mOKUVEREREREREGrWBAwfyzjvv8NVXXzF79mzy8vIYMmQIR44cOeF1Dz74IMHBwTWOZ5999rTWUl1dzdy5c9m2bRsXXHDBaY0lIiIi0lgo3hIRERFxL8VbruGWylrvvPMOb775JhdccAETJ050tvfu3ZuffvrJHVOKiIiIiIiISAsV4OPF9mkXeWzuhho9erTzca9evRg8eDAdO3Zk3rx5VFRU1HiDavv27SQkJAAwefJkbrrpphpjzZw5k+XLl5/0eh988EEeeeQRrFYrvr6+TJ48mT/96U8nPY6IiIi0LIq3Gk7xloiIiJwKxVsN1xziLbcka+Xk5NCpU6da7Xa7vcmVHhMRERERERGRxs0wjJMq1d5YBAUF0atXLzIyMnjmmWe4+uqrnefi4uKcj1u3bl3rfZaIiIhTmvP4G2OBgYHExsZiGMapLV5ERERaFMVbDad4S0RERE6F4q2Gaw7xlls+0z169OC7776jffv2Ndo//vhj+vXr544ppQk5ePAgu3fvZtCgQU3yH42IiIiIiIiIK1itVtLT0xk2bBgRERGn/AbVyajrjTERERGR5krxloiIiIh7Kd46NRZ3DPr444/zl7/8hb/+9a/Y7Xb+85//cPvtt/Pss8/y2GOPndRYy5cvZ+zYscTFxWEYBgsXLvzda5YtW0ZycjL+/v506NCB119//RTvRNzhkUce4cEHH2TdunWeXoqIiIiIiIjIGXP//fezbNkysrKyWLNmDVdddRVFRUXceOONnl6aiIiISLOgeEtERETEvRRvuYZbkrXGjh3LRx99xJdffolhGDz22GOkp6fz2WefMXLkyJMaq7S0lD59+vDqq682qH9WVhZjxoxh2LBhbNq0iYceeohJkyYxf/78U7kVcYMdO3YAsGrVKg+vREREREREROTM2b9/P9dccw1dunThyiuvxNfXl9WrV9eqTC4iIiIip0bxloiIiIh7Kd5yDcM0TdOVA1ZXV/PMM89wyy23EB8f78qhMQyDBQsWMG7cuHr7PPjgg3z66aekp6c72yZOnMiWLVsanBxUVFREWFgYhYWFhIaGnu6y5TfOO+88AMaPH8/dd9/t4dWIiIicupYcM7TkexcREc+rqKggKyuLpKQk/P39Pb2cFu9Enw/FDKdOr52IiHiS4q3GRfGWe+i1ExERT1Gs1fic6XjL5ZW1vL29ef7557HZbK4eukFWrVrFqFGjarRddNFFrF+/nqqqqjqvsVqtFBUV1ThERERERERERERERERERERERERcyS3bIF544YWkpaW5Y+jflZeXR0xMTI22mJgYqqurOXz4cJ3XTJ8+nbCwMOfh6opgIiIinubiQpoiIiIiIiIiIiIiIiIiInIKvN0x6OjRo5k6dSo//PADycnJBAUF1Th/2WWXuWNaJ8Mwajw//gvq37YfN3XqVFJTU53Pi4qKlLAlIiLNxuOPP86ePXv45z//iY+Pj6eXIyIiIiIiIiIiIiIiIiLSYrklWeuOO+4A4G9/+1utc4ZhuHWLxDZt2pCXl1ejLT8/H29vbyIjI+u8xs/PDz8/P7etSURExJOWLl0KwNatW0lOTvbwakREREREREREREREREREWi63JGvZ7XZ3DNsggwcP5rPPPqvR9vXXX9O/f39VExERkRbNncnSIiIiIiIiIiIiIiIiIiLy+1yerLV3716+/vprqqurGT58ON27dz+t8UpKSti1a5fzeVZWFps3byYiIoKEhASmTp1KTk4O77zzDgATJ07k1VdfJTU1ldtvv51Vq1YxZ84cPvjgg9Nah4iISFN0fCtgERERERERERERERERERHxPJcmay1fvpwxY8ZQVlbmGNzbm3nz5nHNNdec8pjr168nJSXF+Tw1NRWAG2+8kblz55Kbm0t2drbzfFJSEl9++SX33nsv//jHP4iLi2PmzJmMHz/+lNcgIiLSVKmaloiIiIiIiIiIiIiIiIhI4+HSZK1HH32UlJQU3njjDQICApg6dSoPPPDAaSVrjRgx4oRVQebOnVurbfjw4WzcuPGU5xQREREREREREREREREREREREXE1iysH27ZtG9OnTycuLo5WrVrx4osvcuDAAY4dO+bKaURERKSBvLy8PL0EERERERERERERERERERH5mUuTtQoKCoiOjnY+DwoKIjAwkIKCAldOI82E3W739BJERJo9wzA8vQQRERERaeLS0tIwDEPv74iIiIi4ieItEREREfdpjLGWS5O1ALZv387WrVudh2mapKen12iTlquiosL5+ETbW4qIiIiIiIg0V3l5edx111106NABPz8/4uPjGTt2LEuWLHHZHCNGjOCee+5x2XgiIiIiTYniLRERERH3Uax1+rxdPeAFF1xQKwnn0ksvxTAMTNPEMAxsNpurp5UmIj8/3/m4rKzMgysREWkZ9DNXREREpHHZs2cPQ4cOJTw8nBkzZtC7d2+qqqr46quvuPPOO/npp5/O2FpM08Rms+Ht7fK3h0REREQ8RvGWiIiIiPso1nINl1bWysrKYvfu3WRlZdU6jrfv3r3blVNKE3Po0KE6H4uIiHtUVlZ6egkiIiIi7meaUFnqmeMkq0b/+c9/xjAM1q5dy1VXXcVZZ51Fjx49SE1NZfXq1QBkZ2dz+eWXExwcTGhoKFdffTUHDx50jvHEE0/Qt29f3n33XRITEwkLC+MPf/gDxcXFANx0000sW7aMl19+GcMwMAyDPXv2OEu+f/XVV/Tv3x8/Pz++++47rFYrkyZNIjo6Gn9/f84991zWrVvnus+PiIiINH2KtxRviYiIiHs1kXhLsZZruDS9rH379q4cTpqhI0eOOB8fPXrUgysREWkZlKwlIiIiLUJVGTwb55m5HzoAvkEN6nr06FEWLVrEM888Q1BQ7WvCw8MxTZNx48YRFBTEsmXLqK6u5s9//jMTJkwgLS3N2TczM5OFCxfy+eefc+zYMa6++mqee+45nnnmGV5++WV27txJz549mTZtGgBRUVHs2bMHgAceeIAXXniBDh06EB4ezgMPPMD8+fOZN28e7du3Z8aMGVx00UXs2rWLiIiI036JREREpBlQvKV4S0RERNyrCcRbirVcp+nVApMm7dixY3U+FhER96iurnY+/u02xSIiIiJyZu3atQvTNOnatWu9fb755hu2bt1KVlYW8fHxALz77rv06NGDdevWcc455wBgt9uZO3cuISEhAFx//fUsWbKEZ555hrCwMHx9fQkMDKRNmza15pg2bRojR44EoLS0lFmzZjF37lxGjx4NwOzZs1m8eDFz5sxh8uTJLn0NRERERNxJ8ZaIiIiI+yjWch0la8kZVVRU5HxcXFyMaZoYhuHBFYmING+/Ttay2WweXImIiIiIG/kEOv4C0FNzN9Dx5PkT/T84PT2d+Ph455tZAN27dyc8PJz09HTnG1qJiYnON7MAYmNjyc/Pb9A6+vfv73ycmZlJVVUVQ4cOdbb5+PgwYMAA0tPTG3ZjIiIi0vwp3lK8JSIiIu7VBOItxVquo2QtOaN+vR2XaZpUVVXh6+vrwRWJiDRvv66mpWQtERERabYMo8Fb43hS586dMQyD9PR0xo0bV2ef+v6o6bftPj4+Nc4bhoHdbm/QOn5dpr6+N9n0x1UiIiJSg+ItxVsiIiLiXk0g3lKs5ToWTy9AWpaqqqoaz39d8UVERFzv10FNQwMcEREREXGPiIgILrroIv7xj39QWlpa63xBQQHdu3cnOzubffv2Odu3b99OYWEh3bp1a/Bcvr6+DUrW79SpE76+vqxYscLZVlVVxfr1609qPhEREZHGQPGWiIiIiPso1nIdJWvJGXXs2LETPhcREdf6dZKsEmSbr+XLlzN27Fji4uIwDIOFCxc2+NqVK1fi7e1N37593bY+ERER+cVrr72GzWZjwIABzJ8/n4yMDNLT05k5cyaDBw/mwgsvpHfv3lx33XVs3LiRtWvXcsMNNzB8+PAaJd5/T2JiImvWrGHPnj0cPny43sT9oKAg7rjjDiZPnsyiRYvYvn07t99+O2VlZdx6662uum0RERGRM0bxloiIiIj7KNZyDZdtg9ivX78GlxDbuHGjq6aVJmbXrl01nmdkZNC2bVsPrUZEpPn79fazv34szUtpaSl9+vTh5ptvZvz48Q2+rrCwkBtuuIELLriAgwcPunGFIiIiclxSUhIbN27kmWee4b777iM3N5eoqCiSk5OZNWuWM/H6rrvu4rzzzsNisXDxxRfzyiuvnNQ8999/PzfeeCPdu3envLycrKysevs+99xz2O12rr/+eoqLi+nfvz9fffUVrVq1Ot3bFRERETnjFG+JiIiIuI9iLdcwzOMbOJ6mJ598ssF9H3/8cVdM6TZFRUWEhYVRWFhIaGiop5fTbBw4cIA//OEPmBhUt+6Ez+EMxowZw5QpUzy9NBGRZmvbtm3ceeedANx7771cccUVHl5R89IYYwbDMFiwYEG9e4X/2h/+8Ac6d+6Ml5cXCxcuZPPmzQ2epzHeu4iItBwVFRVkZWWRlJSEv7+/p5fT4p3o86GY4dTptRMREU9SvNW4KN5yD712IiLiKYq1Gp8zHW+5rLJWY0/AEs9bunQpAPbQWKpbd8bncAbfffcd999/P97eLvtSFBGRXykqKqrzscjbb79NZmYm7733Hk8//fTv9rdarVitVudzfT2JiIiIiIiIiIiIiIiInDyLpxcgLUdaWhoA1ZEdsIe2we4TQHFxsbbFFBFxo0OHDjkf5+fne3Al0phkZGQwZcoU3n///QYnTE+fPp2wsDDnER8f7+ZVioiIiIiIiIiIiIiIiDQ/bknWstlsvPDCCwwYMIA2bdoQERFR45CW5+jRo+zYsQOA6lYJYFiwhScAsGrVKk8uTUSkWcvJyXE+PnDggAdXIo2FzWbj2muv5cknn+Sss85q8HVTp06lsLDQeezbt8+NqxQRERERERERERERERFpntySrPXkk0/yt7/9jauvvprCwkJSU1O58sorsVgsPPHEE+6YUhq5zZs3A2ALjACfQMfjsHY1zomIiOtlZWXV+VharuLiYtavX89f/vIXvL298fb2Ztq0aWzZsgVvb2++/fbbOq/z8/MjNDS0xiEiIiIiIiIiIiIiIiIiJ6dh+96cpPfff5/Zs2dzySWX8OSTT3LNNdfQsWNHevfuzerVq5k0aZI7ppVG7IcffgDAHtLG2WYPiQFg9+7dlJaWEhQU5JG1iYg0V6ZpOqsagqPKYX5+PtHR0R5clXhaaGgo27Ztq9H22muv8e233/LJJ5+QlJTkoZWJiIiIiIiIiIiIiIiINH9uSdbKy8ujV69eAAQHB1NYWAjApZdeyqOPPuqOKaWR++mnnwCwBf+SIGD6BmL3DcZSWcLOnTvp16+fp5YnItIs5eTkUFhYiGkxIQiMYoPt27crWasZKikpYdeuXc7nWVlZbN68mYiICBISEpg6dSo5OTm88847WCwWevbsWeP66Oho/P39a7WLiIiIiIiIiIiIiIiIiGu5ZRvEdu3akZubC0CnTp34+uuvAVi3bh1+fn7umFIaMbvdzu7dux2PAyNqnguKBKjxC2aRxuqHH37g888/xzRNTy9FpEE2bdrkeNAKzGjH1+3GjRs9uCJxl/Xr19OvXz9n4nNqair9+vXjscceAyA3N5fs7GxPLlFEREREREREREREREREcFOy1hVXXMGSJUsAuPvuu3n00Ufp3LkzN9xwA7fccos7ppRGbPfu3ZSVlWFavDEDwmucswc6krWOb5Mo0pjdd999zJgxgy1btnh6KSINsnjxYgDMNiZmG0eyVlpaGpWVlZ5clrjBiBEjME2z1jF37lwA5s6dS1paWr3XP/HEE2zevPmMrFVERERERERERERERESkJXPLNojPPfec8/FVV11Fu3bt+P777+nUqROXXXaZO6aURmzRokUA2ELjwKiZH2gLbwc5G/n+++8pKioiNDTUE0sUaZDy8nIAMjMz6du3r2cXI/I7fvjhB0fyjQFmogn+YAaYFBQU8OWXXzJu3DhPL1FEREREREREREREREREpMVxS2Wt3xo0aBCpqalK1GqBSkpK+PzzzwGoju4Kpgm2KsdhmtiDorAFRmC1WlmwYIGHVytSv4qKCk8vQeSkvPfeewDY29shELCA2cVRXetf//oX1dXVHlydiIiIiIiIiIiIiIiIiEjL5LJkrU8//ZSqqirn4xMd0nIsXryYsrIy7AHh2MLjwV5N0Pp5BK2fB/ZqMAyqYnsDjq8bm83m4RWL1K2goMD5WFvISWN34MABVq1aBfycoFUNVIOZZGL6muTl5TnPi4iIiEjjYhgGhmGwevXqGu1Wq5XIyEgMw3Bubzxo0CDuuOOOGv1mzZqFYRjMmTOnRvutt97KkCFD3Lp2ERERkaZA8ZaIiIiIeyne+n0uS9YaN24cx44dcz6u77jiiitcNaU0Ad999x0AVVFngWHU2ccWkYhp8eHQoUPs3LnzTC5PpMEyMjLqfCzS2JimyZtvvolpmphtTAgErwVeeC3wcpxPclTXevvtt7FarZ5cqoiIiIjUIz4+nrfffrtG24IFCwgODq7RlpKSwtKlS2u0paWlER8fX2d7SkqKexYsIiIi0sQo3hIRERFxL8VbJ+ayZC273U50dLTzcX2HKie1HJWVlfzwww8A2MLa1d/R4o0tLA6ADRs2nImliZy0//3vf87HK777juLiYg+uRqRuNpuNmTNn8u2334IB9h72Wn3MsxzVtXbt2sXDDz9MWVmZB1YqIiIi4lqmaVJWVeaRwzTNk1rrokWLOPfccwkPDycyMpJLL72UzMzMGn1uvPFGPvzwQ8rLy51tb731FjfeeGONfikpKezYsYPc3Fxn27Jly5g6darzrxMB9u3bx+7du5vNm1kiIiJy5ineUrwlIiIi7qV4q2XFW97uGPSdd95hwoQJ+Pn51WivrKzkww8/5IYbbnDHtNLIrFmzhoqKCuw+gZgBrU7Y1xbaFu9je1m2bBnXXXcdRj1VuEQ8Ydu2baxYscL5vMJqZe7cudx1110eXJVITSUlJTz55JOsWbMGAHs/O0Tg2ALx1/zBPtiO1wov1q5dyx133MH06dOJi4s742sWERERcZXy6nIG/mugR+Zec+0aAn0CG9y/tLSU1NRUevXqRWlpKY899hhXXHEFmzdvxmJx/E1dcnIySUlJzJ8/nz/+8Y/s27eP5cuX849//IOnnnrKOdbQoUPx8fEhLS2Na665hu3bt1NeXs4tt9zCgw8+SEZGBp07d2bp0qX4+vo2mzLxIiIicuYp3lK8JSIiIu6leKtlxVsuq6z1azfffDOFhYW12ouLi7n55pvdMaU0MlVVVbz11lsAVLfuVO8WiMdVRyZhGl7s2LHDuXWiSGNQWFhY44fFcR9//DGrVq3ywIpEajt8+DB33nmnI1HLC+yD7JgdT5ABHw22ETZMf5OsrCz+9Kc/sWPHjjO3YBEREZEWbPz48Vx55ZV07tyZvn37MmfOHLZt28b27dtr9Lv55pud/69+++23GTNmDFFRUTX6BAUFcc455zj/yjAtLY1zzz0XPz8/hg4dWqN94MCBBAY2/E03ERERkaZK8ZaIiIiIeyneOn1uqaxlmmadlZH2799PWFiYO6aURsQ0TV555RUyMzMxvfyoiu39+xf5BFAV2xPfA1uYMWMGSUlJxMfHu3+xIidgtVp59NFHycvLI8rfxqEKLwBGxFWQdsCfadOm8eqrr9KxY0cPr1Rasvz8fO6++25ycnIw/U3s59rhxMUMHSLAfqEdy0oLhccKueeee3jxxRfp3r2729csIiIi4moB3gGsuXaNx+Y+GZmZmTz66KOsXr2aw4cPY7c7tq7Ozs6mZ8+ezn5//OMfmTJlCrt372bu3LnMnDmzzvFSUlL4+OOPAcebViNGjABg+PDhpKWlcfvtt5OWlqYq5yIiInJaFG8p3hIRERH3UrzVsuItl1bW6tevH2effTaGYXDBBRdw9tlnO48+ffowbNgwLrzwwpMe97XXXiMpKQl/f3+Sk5NPWHkpLS0NwzBqHT/99NPp3Jo0kGmazJ49m4ULFwJg7Xge+Pg36NqqtmdjC4qiqKiI++67jwMHDrhxpSInVlJSwsMPP8zmzZvx9zL5S68S57k/dC6nS3iVs7yjvr+Ip2RmZnLnnXc6ErUCTeznNzBR67gAsA+3Y7Y2KS0t5Z577lHFOBEREWmSDMMg0CfQI0ddf6x2ImPHjuXIkSPMnj2bNWvWOLexrqysrNEvMjKSSy+9lFtvvZWKigpGjx5d53gpKSns3LmTnJwcli1bxvDhw4Ff3szKzs4mKyuLlJSUU3hlRURERBwUbyneEhEREfdSvNWy4i2XVtYaN24cAJs3b+aiiy4iODjYec7X15fExETGjx9/UmN+9NFH3HPPPbz22msMHTqUN954g9GjR7N9+3YSEhLqvW7Hjh2EhoY6n/+2lJq4Xnl5OS+++CJff/01ANb2g7G1at/wASxeVHQZScD2z8nLy2PixIlMmzaNvn37umfBInWwWq0sXryYt99+m0OHDuFnMUntU0LbYLuzj7cFUvuU8uzGYPYeO8Ydd9zBlVdeydVXX01MTIwHVy8tydKlS5k+fToVFRWYwSb24XY4laqfPmAf5qiwVZFfwZQpU7jtttu47rrrnHtKi4iIiIhrHDlyhPT0dN544w2GDRsGwIoVK+rtf8sttzBmzBgefPBBvLy86uwzZMgQ/Pz8eO211ygvLyc5ORmA/v37U1hYyBtvvIG/vz+DBg1y/Q2JiIiINDKKt0RERETcS/GWa7g0Wevxxx8HIDExkQkTJuDv37CKSifyt7/9jVtvvZXbbrsNgJdeeomvvvqKWbNmMX369Hqvi46OJjw8/LTnl4bZvHkzM2bMYP/+/YCBNWko1dFdT34gn0Aqul2K346vKCg4wt13382ECRO4+eabCQg4udJ7Ig1VVVXFxo0bSUtLY9myZZSUOKpoRQfY+EuvUjqE2qiw1bwmyMfk4eRiZv8YxLpDvnz88cd88sknJCcnc/7553Puuefqe5C4hd1uZ/bs2bz//vsAmNEm9kF28DuNQb0dCVvGJgPLbguzZ89mx44dPPTQQ81m32cRERGRxqBVq1ZERkby5ptvEhsbS3Z2NlOmTKm3/8UXX8yhQ4dq/DHabwUEBDBw4EBeeeUVhg4d6nzTy8fHh8GDB/PKK6843/ASERERae4Ub4mIiIi4l+It13BLyYwbb7zRJYlalZWVbNiwgVGjRtVoHzVqFN9///0Jr+3Xrx+xsbFccMEFLF269IR9rVYrRUVFNQ5pmIMHDzJt2jQmTZrE/v37sfsEUt5t9Kklav3M9A2kovulVEWdhWmafPjhh1x//fUsXrzYudepyOmyWq0sW7aMadOmcdlllzF58mS++OILSkpKiPK3cW3nMp4bVESHUFu9YwR6w919SnmgXzHdW1Vhmibr169nxowZjBs3jkmTJvHJJ59w6NChM3hn0pyVl5fz6KOPOhO17F3s2IedZqLWcRYwk03syXawwPLly7nrrrvIz893weAiIiIiAmCxWPjwww/ZsGEDPXv25N577+X555+vt79hGLRu3RpfX98TjpuSkkJxcTEjRoyo0T58+HCKi4ubVYl4ERERkRNRvCUiIiLiXoq3XMMwTdN0xUARERHs3LmT1q1b06pVqxPuaXn06NEGjXngwAHatm3LypUrGTJkiLP92WefZd68eezYsaPWNTt27GD58uUkJydjtVp59913ef3110lLS+O8886rc54nnniCJ598slZ7YWHhCbP7WrKioiLef/99PvnkE6qqqgCoiu5KZfw54H2CrAFbFUHr5wFQ2v9G8PI54TxeBfvw3bMSi9VR6ahr16786U9/cpa9EzkZBQUFrFu3jhUrVrB69SrKyyuc58J87fSPqmJgTCVdW1Vj+c23sAob3La0FQD/TDmGfx0VGg+WWVh90Je1+T7sLa5ZuLBHjx6cd955DB48mPbt25/0vr8iBw8e5KGHHiIjIwMsYD/HjpnQgB/h1eC1wPEFa7vC1rCamkfAstKCYTWIjIzk2WefpVu3bqd3A81UUVERYWFhLTJmaMn3LiIinldRUUFWVhZJSUku+WMxOT0n+nwoZjh1eu1ERMSTFG81Loq33EOvnYiIeIpircbnTMdbLtsG8e9//zshISGAY6tCV/ptUoNpmvUmOnTp0oUuXbo4nw8ePJh9+/bxwgsv1JusNXXqVFJTU53Pi4qKiI+Pd8HKm5+ysjI++eQTPvjgA0pLSwGwhcRS2X4g9qDWLp/PFh5Pee+r8Mndhs+Brfz000/ce++9JCcnc9ttt9GjRw+XzynNQ1VVFXv27CEjI4OffvqJbdu2sXv3bn6dn9ra38Y50VWcE11JpzBbrQStkxUTaOfypAouT6rgULmF9fk+rM33JaPQmx9//JEff/yRWbNm0bp1a3r16kX37t3p3LkznTt3dn7/FKnL9u3beeihhzh69Cimr4l9qB1c/y33F5Fgv8COZYWFI0eOcNdddzF16lQuuOACN04qIiIiIiIiIiIiIiIiItL8uSxZ68Ybb6zz8elo3bo1Xl5e5OXl1WjPz88nJiamweMMGjSI9957r97zfn5+zWpvS3coLy9nwYIFfPDBBxQWFgJgC4ygKv4cbGHtwJ1VgizeVLXtR1V0V3xzNuGd/xMbNmxgw4YNDB48mFtuuaVGgp60HKZpcuTIEXJycti/fz/79+8nOzubvXv3kpOTg81WewvDhOBq+rSuon9UFR1CbW770o0KsDO6vZXR7a0crTBYf8iXTYd9+OmYN4cPH2bp0qU1tmiNjIwkMTGRhIQE2rVr5zxiY2Px9nbZt2ppgr7//nsef/xxrFYrZtjPiVpBZ2DiILCfb8eyxkJlbiVPPvkk+fn5XHPNNWdgchERERERERERERERERGR5sltGQB2u51du3aRn5+P3W6vca6+Cle/5evrS3JyMosXL+aKK65wti9evJjLL7+8wWvZtGkTsbGxDe4vv7BarXz66ae89957HDt2DAC7fxiVbc/GFtnBvUlav+UTQGXiEKpie+GTswnvQxmsWrWKVatWMWzYMG655RY6dux45tYjZ4TNZiM/P5/9+/dz4MAB9u/fT05ODjk5OeTm5lJRUVHvtYHedtqH2EgMsdE5rJqzwqsJ93PJzq8nJcLfZFS8lVHxViptkFnkzc4Cb7KKvNhb7MWhCi+OHDnCkSNH2LBhQ41rLRYL0dHRtGvXjri4ONq2bes82rVrp0TTZu7LL79kxowZ2O12zDYm9sF2N/7kroMP2IfaMbYYWDIszJo1i4KCAv70pz9hsVjO4EJERERERERERERERERERJoHt/zKd/Xq1Vx77bXs3bu3xpZj4NjSsK5qN/VJTU3l+uuvp3///gwePJg333yT7OxsJk6cCDi2MMzJyeGdd94BHFswJiYm0qNHDyorK3nvvfeYP38+8+fPd90NtgDV1dV89dVXvP322+Tn5wNg9wuhqm0/qlt3AsNzv6Q3/UKo7HAeVXF9HElbhzP57rvvWLFiBSNHjuTmm2+mbdu2HlufnJqysjL27t3L3r17ndWx9u3bR05ODlVVVfVeZ2DSOsBOmwA7bQJttAm0Exdko22QjVZ+5mnnE9rscNRqwfqrb1uHyy34eUGEnx2vk/yn4OsF3VpV061VtbOtrBoOlHqRU+pFbqkXB8ss5JVbOFjmRaXdTl5eXq0Kg8dFR0cTHx9PQkIC7du3p3379iQmJhIREVHvdrHS+BUXF/P666/z2WefAWBvb8fsb4InvvUaYPY1sfvbsWyz8MEHH5CRkcHkyZOVCC0iIiIiIiIiIiIiIiIicpLckqw1ceJE+vfvzxdffEFsbOxpJQxMmDCBI0eOMG3aNHJzc+nZsydffvkl7du3ByA3N5fs7Gxn/8rKSu6//35ycnIICAigR48efPHFF4wZM+a076slsFqtfP311/zrX/8iJycHALtv0M9JWmfBqVZSMe0YlaVg+yVBxbCWgJc3pm/QKSV/mf5hVHYcQVVcH3z3b8T7aBZff/0133zzDRdffDETJkwgKSnp1NYrblNeXs6ePXvIyspyfty7d2+9yUgA3oZJdICdmEAbMQF2ogPtxATYiAm009rfjrcbE1iOWi3cuzKsRtuU1Y7nfx9aSFSAva7LTkqgN3QKs9EprGYiq2lCQaVB/s+JWwfLLeSXef2cyGWhrNpCfn4++fn5tSpyhYSEkJiY6DySkpJISkpSElcjZ7Va+e9//8t7771HQUEBAPbudszuJnj402Z2NbEH2LFssLB+/Xquv/56xo8fzzXXXEN4eLhnFyciIiIt1m//QEw8Q58HERGR5ks/5xsHfR5ERESaJ/2MbzzO9OfCMN0wY1BQEFu2bKFTp06uHvqMKCoqIiwsjMLCQkJDQz29nDMiMzOT//3vf3z11VcUFhYCYHr7UxnXm+qY7mA5vbw+w1pM4OaP6jxX1ncCpl/IaY0PYCk9jM++9XgX7ne2nX322YwZM4bzzjsPf3//055DTk5BQQHbt29nx44d7Nq1i8zMTA4cOFBv/1BfO3GBNtoGOapjxQY5KmW19rdj8VCiyqHy2slax7kqWetUmCaUVBnkllnILXNU5MoptXCg1Iv8cgtmPZk9YWFhdOjQgU6dOtG5c2e6d+9Ou3bttKWdhxUUFLBw4UL+85//OJO0zBAT+9l2iD7FQe1AOVANXl97AWAbZXOkaQdw6lW6isCy0YJxyPE15ufnx5gxY/i///s/2rVrd4qDNl0tMWY4riXfu4iIeJ7NZmPnzp1ER0cTGRnp6eW0eIWFhRw4cIBOnTrh4+NT45xihlOn105ERDypqqqKXbt2ERcXR1hY3e+Pyplz5MgR8vPzOeuss/Dy8qpxTjHDqdNrJyIinqL3thqfMx1vuaWy1sCBA9m1a1eTTdZqKfbs2UNaWhpLly4lKyvL2W73DaaqTQ+qo7uCl88JRmhc7EGtsXa9mKrifHxyt+J1bC8bN25k48aN+PsHMHToEEaMGMGgQYPw8/Pz9HKbJdM0SU9P55tvvmHt2rU1qt79WpivnbZBNtoFO7YrbBvkeB7iq8zhhjIMCPE1CfG1cVZ4zYpclTbILXMkb+WUeLH/5y0WD5ZZKCwsZNOmTWzatMnZPzQ0lOTkZM477zyGDRuGr6/vmb6dFiszM5OPP/6YxYsXO7f7NANNzG4mZuJpbntYDl5f1gwknElbY2wQdIrjhoJ9uB1ywbLdgvWYlQULFrBw4UKGDBnCVVddxdlnn60KbiIiIuJWXl5ehIeHk5+fD0BgYKDiDw+x2+0cOnSIwMBAvL3d8jaTiIiIeIC3tzeBgYEcOnQIHx8f/bGnh5imSVlZGfn5+YSHh9f6xaGIiIg0TXpvq/HwVLzllnfR7rrrLu677z7y8vLo1atXrb+q7N27tzumld9hmia7d+8mLS2NZcuWsWfPnl/OGRZs4QlUR3XGFh5/StsSNhb2kGisIRdiWIvxPpSB9+EMKiqKWbJkCUuWLMHf35/BgwczfPhwBg0aRGBgoKeX3Cxs27aN1157jR9//LFGe1yQjQ6h1bQPtpEQYiM+2EaokrLcytcL2ofYaB9iA6qc7ZU2yCn1IrvEi+xiL7KKvMkq9qKoqIilS5eydOlSWrVqxY033shll12mX7S4SXV1Nd999x0LFixg8+bNznazlYnZxcRse5pJWmeCAcSBPdYOh8CywwJ5sHLlSlauXElSUhJXXHEFo0aN0vdYERERcZs2bdoAON/UEs+xWCwkJCToTUUREZFmxDAMYmNjycrKYu/evZ5eTosXHh7ujH9FRESkedB7W43LmY633LINYl1/YWEYBqZpYhgGNputjqsaj+ZU9vR4gta3335LWloa+/bt++WcYcEWGoctsgPVrdqDt/uqTZ2JbRDrZZpYSg/hfSQLr6NZWCpLnKf8/PwYOHAgKSkpDB48WEkFJ6m6upqNGzeyYMECVq5cCYCPxWRAdCX9o6vo3qqaIJ+mnZjVWLdBdJVqO+wu8mLzYR9W5Ppx1Or4/p2QkMD//d//cf755xMS4sZ/ny2E3W53Vp375ptvnNvNYoC9rR2zswmRjucuU1q7stZxp1VZqz5FYOwyMPYYGDbHjfj7+zN8+HBGjhxJv379aiVvNwfNKWY4WS353kVEpHGx2WzOKqXiGb6+vvVW21DMcOr02omISGNgt9uprKz09DJaNB8fnxNWeFDMcOr02omISGOg97Y8zxPxllvKpvx6Sz0580zTZOfOnSxfvpxly5bV2IrONLywhbXFFpFEdasEtyZoNRqGgT04msrgaEgYgKX0MF5Hs/A+ugertYjly5ezfPlyZ+LW8OHDGTJkCEFBrs5kaPqqq6vJyspi27ZtbNmyhXXr1lFS4kh+MzA5L66SqzqW08qvaSdotSTeFjgr3LGV4pUdKlia48f83f5kZ2fz4osv8tLf/06Pnj1JTk6md+/edOvWTUmNDVRWVsbGjRtZs2YNK1eu5PDhw85zpr+JmWRidjChubycoWCebWL2NDH2GhiZBhXFFXz11Vd89dVXBAcHM2jQIAYNGsQ555xDq1atPL1iERERaSa8vLy0HYyIiIiIm1gsFvz9/T29DBEREZFmS+9ttUxuSdZq3769O4aVEygrK2Pz5s2sWrWK1atXc/DgQec50/DCFt6O6ogkbOEJ4O3rwZV6mGFgD47CHhxFVfw5WMqOOBK3jmTVSNzy9vamb9++zsSC+Pj4FrmdQ2VlJVu2bGHLli1s27aNn376ifLy8hp9gn3sDI6pZGS8lbigpl1lqqXztsDIeCtDY62k5fix/IAf+0th69atbN26FXC8OZOYmEivXr3o3bs3/fv3V9LNz0zTJDMzkzVr1rB27Vq2bdtGdXX1L+e9TcxYE7O9CTE0/q0OT5UvmJ1NzE4mHMVRaSvHoKSkxFlZDKBLly4MGDCAAQMG0KNHD227KSIiIiIiIiIiIiIiIiItgst+M/rpp58yevRofHx8+PTTT0/Y97LLLnPVtC1WSUkJ27dvZ8uWLWzcuJGffvqpxvaSpsUbW1g7qiMSlaBVH8PAHtQae1Brqtr1/zlxaw/eR7Oorihk/fr1rF+/nldffZXWrVvTr18/+vXrR8+ePUlISKh3i4fmoKSkhNmzZ/P1119TWlpa45y/l0nn8GrOCqumZ0QVHcNsWFpIHtvYsWOZMGECH330EZ9//jkFVoOoAE+vyvUCvWFMeytj2lvJL7Ow7ag3Owq82VngzeEK2L17N7t37+a///0vFouFfv36cccdd3DWWWd5eulnnGmabNu2jaVLl7JixYoaibIAZpCJ2caRpEU00JKS4g0gEsxIE/NsE46AkWtg5BkYBQY7duxgx44dvPvuu4SGhjJkyBBGjBjBgAEDlLglIiIiIiIiIiIiIiIiIs2WYZqmS/Yrs1gs5OXlER0dfcIkFsMwaiQVNUaNbY9qu93Ovn372L59Oz/++CM//PADWVlZ/PZTZ/cLwRbWDlurBGyhsWBpPL/sNqzFBG7+qM5zZX0nYPqFnOEVnZhRXohXQTbeBfuwFB/EMGt+zYaGhtKjRw/n0bVr12a1beJTTz3F4sWLAQj3tdMzooourarpHFZNXJC9xSRnARwqt3DvyjAA3nvvPRISEsjOzuaPf/wjd/YsYXCblrV/8DGrwa5CR+JW+jFv9hQ7vs+EhITw8ccft5gtEg8cOMCiRYv46quvyM3NdbabXo6kLLONiRljgie/tZWC15d1Z4fZxtjAk9+yKsDIMyAPjIMGRuUv31TCwsK48MILufjiiznrrLMafVXDxhYznEkt+d5FRESk4RQznDq9diIiItIQihlOnV47ERERaQh3xAwuy+ax2+11PpaTZ7Va+emnn5xbj/3444+UlJTU6mf3C8UWEo09NA5baGyjS3hqysyAMKoDelEd2wvs1ViK8/EqOoBXcR6WkkMUFRWxatUqVq1aBTiSEH+9NVyfPn2IiYnx8F2cuqNHjzof94uqYlBMJV3Cq/FuvsXEGuSjjz5yVtYyDIPW/i3ve10rP5P+UVXEBdkI8bWzv8SLatOgrKyMioqKZp2sdfjwYZYtW8bSpUud20LCz9sbtjUx2/28vWFLqp51qvzBTDQhEUz7z1W3cgyMfQaFhYXMnz+f+fPnk5SUxPnnn8+IESNISEho9IlbIiIiIiIiIiIiIiIiIiK/p/GUXmrhysrKWLFiBcuWLWPNmjVUVlbWOG9avLAHRWELjsIeHIMtJBp8mmZSxG+3kjMqyxp3opnFG3tYHPawOKoA7DYsZUexlBzEq+QQlpJ8LNZisrKyyMrKcm4DmpCQwPDhwzn//PPp2LGjR2/hZN1///088cQT7Nixg6U5fizN8cPfy6Rbqyp6RVbTO7KKNoEtL1Hp888/57PPPsMwDEzTJNzPJYUJm4TSKoMfj3qz9YgPPxz15nDFLxlJoaGh3HvvvURERHhwha5XXV3N9u3bWbNmDatXryYjI6PGeTPGxEw0MeNM/TQ9HRYgCswoE7O3Cflg7DGw5FjIyspizpw5zJkzh7Zt2zJo0CAGDhxI37598ff39/TKRUREREREREREREREREROmn693AisXbuWv/71rxw6dMjZZvcJwB7SBltIDPaQNtgDIuAE20s2JRMmTCAhIYEJEyY4El+sJRDShKpQWbywB0dhD46i+nhbVRlexfmOylvFeVhKj5Cdnc27777Lu+++yyWXXMKkSZMICAjw5MobrG3btrzxxhts3LiRb775hlWrVnHs2DE2HfZl02FfAOICbSRHVzIguorEEBstoeDN8a1HXbR7bKN3zGqwPt+X9Yd8SD/mjd385ZPs6+NDn759SUlJISUlpdlsA1pQUMCqVatYuXIlGzZsoLS0tMZ5M9JRQctsZ0ITypf9bZIs5Xh2G8T6WIA2jm0kbZU2jAOOalschJycHGfFLR9fH/r07sPgwYMZOnQocXFxnl65iIiIiIiIiIiIiIiIiEiDKFnLw2w2Gw899BCVlZWYFi+qYntja5WIPTCC5pr98tut5Ey/YE8v6fT5BGKLSMQWkeh4Xl2JV0E23kez8D62ly+++IKEhASuueYajy7zZFgsFvr370///v2x2+1kZGSwfv161q5dy9atWzlQBgf2BPDZngBa+dnpHVlFl/BqzgqvJjrAjqV5fvk2a8WVBrsKvdlR4M2PR73JKq75IyIhIYGBAwdyzjnn0KdPnyaTfPh7rFYry5cv54svvmDTpk01kvFMXxMzxnQmENFEizn9NkmWMk+vqAF8HVslmokmVOGouJVrYBw0qCqrYv369axfv55XXnmFzp07M2bMGEaNGkVISCOu1CgiIiIiIiIiIiIiIiIiLZ6StTzMYrHQqlUrDh48CDiyW0wv72abqAW1t5IzfZtQeZqGsng5DrvN2RQZGenBBZ0ei8VCly5d6NKlC9dddx0lJSWsWrWK5cuXs3r1ao5ZrSw74MeyA34A+HuZtA+pJiHYRrtgG/E/fwzUd5xGodoOuWUW9pd4sb/Ei+wSL/YWe3PUWrt6X/fu3Rk+fDjDhg2jXbt2Hlite23cuJEZM2Zw4MABZ5sZ7tja0Iw1oRXHvzU3ab9Nkm1KVcEA8AHagtnWdCTTFYORZzgqbx02yMjI4OWXX+att97iL3/5C6NHj/b0ikVERESkGXrttdd4/vnnyc3NpUePHrz00ksMGzas3v7vv/8+M2bMICMjg7CwMC6++GJeeOGFJv3+gIiIiIg7Kd4SERGRlsJlqROpqak89dRTBAUFsXz5coYMGYK3tzIzfo9hGDz++ONMnz6dffv24ZuzCd+cTdgCI7CFtcMWHo89ONqR+NNMNNet5AxrCV6F+/Eq2I9XUQ6GrQpwJDpdddVVXHDBBR5eoesEBwczcuRIRo4cidVqZcuWLWzYsIEffviBHTt2UFFZyY4CH3YU+NS4LsLPTttgG+2CHEfbYBtxQUricpdqOxwss5BT6sX+UkdiVk6pF3llFmxm3RlICQkJ9OzZkz59+jBgwIBm/Z/aAwcOMHnyZKqqqjD9TcwOP1dxaozbA56m3ybJ0pSLohlAKJihJuZZJljB2GdgZBoUFxUzffp0WrVqxaBBgzy9UhERERFpRj766CPuueceXnvtNYYOHcobb7zB6NGj2b59OwkJCbX6r1ixghtuuIG///3vjB07lpycHCZOnMhtt93GggULPHAHIiIiIo2b4i0RERFpSQzTRRkzPj4+7N+/n5iYGLy8vMjNzSU6OtoVQ59xRUVFhIWFUVhYSGho6BmZs7KykrS0NL7++mvWr1+P3W53njMtXtiDY7CFxmILaYM9OAosTSu7xbAWE7j5ozrPlfWdgOnXxLatMk0MazFexXlYivPwKsrFYi2u0SUqKoqRI0cyZsyYOv8j0VxVV1ezd+9eMjIy2L17N7t37yYrK4tDhw7Ve00rPzuxgTZiA+3EBtmICbATHWCjdYAdPw/nKR4qt3DvyrA6z/19aCFRAfY6z50pdhOOVljIL7dwsNxCXpkjGSu31IuD5fUnZQUGBpKUlESHDh1ISkqic+fOdOrUiaCgZpipVI8vv/yS5557DtMwsV9ud1Rvak5KwevLuv8B2cbYml9Smh0siy0YRQZXXXUVkyZNOiPTeiJmaCxa8r2LiIhIwzWXmGHgwIGcffbZzJo1y9nWrVs3xo0bx/Tp02v1f+GFF5g1axaZmZnOtldeeYUZM2awb9++OuewWq1YrVbn86KiIuLj45v8ayciIiLupXhL8ZaIiIi4lzviLZdl/CQmJjJz5kxGjRqFaZqsWrWKVq1a1dn3vPPOc9W0zYavry+jRo1i1KhRFBQUsG7dOlavXs26desoKCjAq+gAXkWObbpMw4I9qDW2kBjswW2whcSAj7+H76CZM+1Yyo46ErOKD2IpPoilqqxGF4vFQrdu3Rg4cCADBw6kS5cuWCy1t5Vr7ry9venYsSMdO3as0V5cXMyePXvIysoiKyuLPXv2sHfvXg4fPswxq4VjVgvbj9UeL8zXTmt/O60Dfv748xH58xHobbp119AIPzt/H1qI1QZTVjuStp4bVIifl+Ocu1Xa4KjVwpEKx3G4wsLh8p8//txWX0IWQEBAAO3btycpKYnExESSkpJISkoiOjrasR1eC9a9e3csFgt2ux3Lagv2fnYI9vSq5JRYwfjRwChyfE336tXLwwsSERERkeaksrKSDRs2MGXKlBrto0aN4vvvv6/zmiFDhvDwww/z5ZdfMnr0aPLz8/nkk0+45JJL6p1n+vTpPPnkky5du4iIiEhToHhLREREWhqXJWs9//zzTJw4kenTp2MYBldccUWd/QzDwGazuWraZik8PNy5xZxpmuzdu5dNmzaxefNmtmzZwtGjR/EqycerJB/YBoDdPwxbSBtsoW2wh7RpepWqGht7NZaSQ3gV5+FVlIelJB/DXlWji7e3N126dKF3797069ePXr16taiqRCcrJCSEXr161UqiKC4uJjs7m+zsbPbv3092djYHDhzgwIEDlJaWUlhpobDSQmZR3eP6e5lEBdiI+jmhKybATpufq3S1DrBjOc18JC8LRAXYqfjVt63WAXb8XVTxyzShuMpwVMP6uSrW4XIvDlVYOFTuuPff4+3tTZs2bYiLiyM+Pp74+HjatWtHYmIiUVFRLT4pqz6JiYlMmTKF559/nqq8KrwWeWFva8fsaEIUju32pHErAGO3gWWPBX7+N3rdddcxYsQIT65KRERERJqZw4cPY7PZiImJqdEeExNDXl5endcMGTKE999/nwkTJlBRUUF1dTWXXXYZr7zySr3zTJ06ldTUVOfz45UeRERERJo7xVsiIiLS0rgsWWvcuHGMGzeOkpISQkND2bFjR5PdBrExMQyDxMREEhMTueKKKzBNk9zcXLZs2cIPP/zA1q1b2bt3L5aKQiwVhfgc2gGA3TcYW2gs9tBYbKGxSt76PfZqLMX5eBXnOrY0LMnHMGtWTQoKCqJnz5707NmTPn360LVrV/z9VdHsdIWEhNCjRw969OhRo900TYqLizlw4AAHDx7k4MGD5OXlOR8fPHiQwsJCKmwG+0q82VdSe2wfi0l8sI32ITY6hlZzVng1sYF2t1bi+j3FlQY7C7zJKPRmT7EX2cVeFFWdOCHLz8+PmJiYGkebNm2IiYkhNjaW1q1b4+Xl4f0im6iLL76Yrl27MmvWLFatWoVlvwX2gxloYiY4DkJR4lZjUgbGPgMj28Ao+OUT06VLFyZOnEhycrIHFyciIiIizdlv/xDGNM16/zhm+/btTJo0iccee4yLLrqI3NxcJk+ezMSJE5kzZ06d1/j5+eHn5+fydYuIiIg0FYq3REREpKVwWbLWccHBwSxdupSkpCS8vV0+fItnGAZxcXHExcUxevRoAAoLC9m2bRtbt25ly5Yt7NixAypLsBzOgMMZANj9QrCFxjmOsDjwCTij6zZ9gyjrOwFs1QRumw9AWa/x4OWN6euBalSmHUvJYbyKcvAqOoClOB/DrFnxLTIykt69e9OnTx969+5NUlKSEmLOIMMwCA0NJTQ0lK5du9bZp6KiwpnAlZubS25uLjk5Oezbt4+cnBwqKyvZXeTN7iJvluY4/gMW7munZ0QVvVtX0SuimhBf0633UW2HnQXebDniw7Yj3mSX1P6+aBgGMTExtGvXjnbt2hEbG+s8YmJiCAsLU3UsN0pMTOSvf/0rmZmZLFy4kG+++YbS0lKMnwz4CcxgE7OtidnGhEhA3wbOLBM4BsZBAyPHwDj2y78Fb29vhg0bxmWXXcbZZ5+tfyciIiIi4hbH/0Dmt1Ud8vPza1V/OG769OkMHTqUyZMnA9C7d2+CgoIYNmwYTz/9NLGxsW5ft4iIiEhToXhLREREWhq3ZFMNHz4cm83G/PnzSU9PxzAMunXrxuWXX65kFzcICwvj3HPP5dxzzwWgrKyMH374gc2bN7Np0ybS09PBWozl0A5n5S1bYCS2sLbYwtthD44Bi5s/L4bFUd3L9stWgqZfMHj5uHfeXy/BWoJX4X68CvbjVXQAw1ZZ43xkZCT9+vWjX79+9O3bl3bt2ukX/42cv7+/s/Lcb9lsNg4cOEBmZiY7duzghx9+ID09nYLKSlbk+bEizw8Dk87h1fSPqmJgTCWR/q5J3Kq0wabDPqzN92XrYR/KbTW/jhITE+nVqxfdunWjU6dOJCYmqkpbI9CxY0fuu+8+7rzzTr7//nsWL17M2rVrqSqpwthhwA4wLY6ELTPChFZghpsQjCpvuYoJlOPY3vDYz4lZh8Go+uUFNgyDXr16MXLkSEaMGEFYWJinVisiIiIiLYSvry/JycksXryYK664wtm+ePFiLr/88jqvKSsrq/VHjMffEzNN9/7RkIiIiEhTo3hLREREWhq3JGvt2rWLSy65hP3799OlSxdM02Tnzp3Ex8fzxRdf0LFjR3dMKz8LDAxkwIABDBgwAHAErFu2bGHDhg1s2LCBzMxMvMqO4FV2BHK3Ylp8sIXFYQtrhy28XfPZMtFejaU4D++C/XgV7sdSXlDjdHBwMGeffTbJyckkJycTHx+v5KxmxMvLi/j4eOLj4xkxYgQAVquVH374gbVr17JmzRp2797NzgIfdhb48EFGAP1aVzG+YwXtQ2wnHrwepVUGn+3x59scX8qqf9nasFWrVgwYMICBAweSnJxMq1atXHGL4ib+/v6cf/75nH/++ZSWlrJmzRpWrlzJxo0bOXLkCBwC49Av3ytMLxNCHBW4CAGCwQwxIRDwx3OJXAFgG2ODavD62vEmhW2UzfGT/8wWV6zJBCpxbGdYYkAxUAJGseH4WFn7BQsODqZPnz4MHjyYoUOHEhkZeaZXLSIiIiItXGpqKtdffz39+/dn8ODBvPnmm2RnZzNx4kQApk6dSk5ODu+88w4AY8eO5fbbb2fWrFnObXnuueceBgwYQFxcnCdvRURERKRRUrwlIiIiLYlbkrUmTZpEhw4dWLVqFREREQAcOXKEP/7xj0yaNIkvvvjCHdNKPQIDAxk8eDCDBw8G4OjRo6xfv55169axZs0aCgoK8D62F+9jewGw+4ViC22DLTQWe0gbTN9gaApJTPZqLCWH8CrOw6soF0vJQQz7L0k3FouF7t27M3DgQM455xy6dOmiSm8tjJ+fnzM574477iAvL4+VK1eSlpbGli1b2HjYl81HfLiqYzlj21tP6st+Z4EXr2wL5pjVkaTVpk0bzj//fM477zy6du2KxWL5nRGkMQoKCnImbpmmSXZ2Nlu2bGHnzp1kZGSQmZlJZWWloxJUQe0vGNPyc9JWIJiBv3kcgONwV4FBCxAEVP/6hnDTT/5fseGojlUGRrkBZT8/LjOg9OfHtvr/cVm8LCS2T6Rz58507tyZ3r1707lzZ32/FhERERGPmjBhAkeOHGHatGnk5ubSs2dPvvzyS9q3bw9Abm4u2dnZzv433XQTxcXFvPrqq9x3332Eh4dz/vnn89e//tVTtyAiIiLSqCneEhERkZbEMN1QCzQoKIjVq1fTq1evGu1btmxh6NChlJSUuHpKlyoqKiIsLIzCwkJCQ0M9vRy3stvt7Ny5k7Vr17J27Vp++OEH7HZ7jT6mtz+24CjsQVHYg1pjD4zE9A08tQQuWxVB6+cBUNr/xlPfBtFejaXsGJayI1hKDmEpPYyl7CgGNb+co6KiOOeccxgwYADnnHMOISHNpGqYuNzevXv55z//ybJlywBIjqrkxi5lRPy8NWKFDW5b6qiI9c+UY/j/nDdSbYdF2X58nBmAzTSIj4/njjvuYMiQIUrQagGqq6vZv3+/89i3b5/z8ZEjR2p9P62L6fNL4lathK5ARzunk6dUDV4Lfq6sdYXt9JK17EAFvyRf/ToR63iCVh2VseoSERFBXFwc7dq1Iz4+nnbt2tGuXTsSEhLw8/M7jUWeWS0pZvitlnzvIiIi0nCKGU6dXjsRERFpCMUMp06vnYiIiDSEO2IGt9TX8PPzo7i4uFZ7SUkJvr6+7phSTpHFYqFr16507dqVG264gdLSUrZu3crmzZvZtGkTGRkZ2Kor8C7YBwX7nNeZ3n7YAyOwB0b+/DECe0ArsLi48olpYlSVYSk7+vNxBEvpUYyKwlqJWeD45X/fvn2dR/v27bW1oTRI+/bteeqpp/jvf//Lyy+/zIZDsO2ID+e3tTK6fQVBPjW/3ipt8F2uL5/v9edQuePr/rzzzuOhhx4iMDDQE7cgHuDt7U1iYiKJiYm1zlVXV3Po0CEOHjxIXl4eBw8e5ODBg+Tn53Po0CEOHTpESUkJRpUBVUARGPXsmWj6m47tFYMcHwn+edvFUFz/k9zGL1sTlvy8NWGp4yPlYJi//z3Vz8+P6OhooqKiiIqKok2bNsTExBATE0ObNm2Ijo5uUglZIiIiIiIiIiIiIiIiIiKu4pZkrUsvvZT/9//+H3PmzGHAgAEArFmzhokTJ3LZZZe5Y0pxkaCgoBpbJlqtVnbt2sVPP/1Eeno6GRkZ7N2bjb3aildRLl5Fuc5rTcPA9A/HFtQae3AU9uBo7AERcBLVhYzKMiylh7CU5ONVcshRLau6os6+4eHhdOrUiS5dutC1a1e6detGVFSUkrPktFx++eV0796dv//97/zwww8s2ufP4v1+nNum0tknLceXz/YEUFjp+NqOiIjg9ttvZ8yYMfr6Eydvb29iY2OJjY2tt09ZWZkzeSs/P5/8/HxnQtfxx1arFaPCgAowDtex1WKQCWFghpmYkSa0puFbK9qAoz+PWwhGoQHFJ07I8vb2Jioqypl8FR0dXeOIiooiJCRE/xZEREREREREREREREREROrglmStmTNncuONNzJ48GB8fBy/Ma6uruayyy7j5ZdfdseU4iZ+fn706NGDHj16ONusVit79uwhMzOTXbt2OT8WFxdjlB/DUn4MDmcAYFq8sIXGYQtPwNYqAdPrN5XVTDuWojy8C7LxKsjGUlFUaw0WixcJCfF06tSJjh07Oj9GRkYqGUDconPnzvzjH/9g3bp1vP/++2zatIllub9UAXpvZxAA0dHRTJgwgUsvvZSAgABPLVeasMDAwHorcwGYpklhYSG5ubkcOHCAnJwc58d9+/Zx9OhRR9WrUjAOOL4fmoYJrcBsa2K2N2snblWBsc/A2GfAETBstb+PBgcHk5CQQFxcHG3btnUesbGxREREaItPEREREREREREREREREZFT5JZkrfDwcP773/+ya9cu0tPTMU2T7t2706lTJ3dMJ2eYn58fXbp0oUuXLs420zTJz893fs63b9/OTz/9RElJCd4F+/Au2Ie553uqIzs4r/E+lIFP3jYs1l+2zDQMg8TERLp160b37t3p0qULiYmJ2i5LzjjDMBgwYAADBgxg8+bNvPDCC2RnZwPg6+vLn/70J8aNG+dMSBVxB8MwCA8PJzw8nG7dutU6X1BQwO7du8nMzCQjI4OtW7dy4MABR7Wsowb8APZ4+y/jpRsYGUaNBK1WrVrRt29fzjrrLDp06EDHjh1VpVBERERERERERERERERExE0M0zRNTy+isSkqKiIsLIzCwkJCQ0M9vZwmy263s3v3blatWsXKlSvZvn07AKbFB9M3EEtFIQChoaEMHTqUwYMH079/f4KDgz25bJE6FRQUOLdxvfPOO5kwYYKHVyRSt4MHD7J27VoWLVrEtm3bADD9TPDGUYULaN++PaNHj2bIkCG0b99eiVmnoSXHDC353kVERKThFDOcOr12IiIi0hCKGU6dXjsRERFpCHfEDG6prCUCYLFY6NSpE506deL6669n+/btvPTSS/z0008YFYVYLBZndSJtISeNXXh4ONdccw1bt27lkksu8fRyROoVExPD2LFjGTt2LNu2beOZZ55xVNuyQlBQEA888AAjRoxQgpaIiIiIiIiIiIiIiIiIiAdYPL2AhnjttddISkrC39+f5ORkvvvuuxP2X7ZsGcnJyfj7+9OhQwdef/31M7RSOZHu3bszY8YM5/NRo0ZxzTXXKFFLmow77riDWbNmqfqbNBm9evXisccecz6fOHEiKSkpStQSEREREREREREREREREfGQRp+s9dFHH3HPPffw8MMPs2nTJoYNG8bo0aPJzs6us39WVhZjxoxh2LBhbNq0iYceeohJkyYxf/78M7xyqUt4eDjnnnsuXl5eXHXVVZ5ejohIs9e1a1eSkpIIDg7mvPPO8/RyRERERERERERERERERERaNMM0TdPTiziRgQMHcvbZZzNr1ixnW7du3Rg3bhzTp0+v1f/BBx/k008/JT093dk2ceJEtmzZwqpVqxo0p/aodi+73U5ZWZmqE4mInCHV1dVUV1fj7+/v6aU0Oy05ZmjJ9y4iIiINp5jh1Om1ExERkYZQzHDq9NqJiIhIQ7gjZvB2ySi/kZGRwX//+1/27NmDYRgkJSUxbtw4OnTocFLjVFZWsmHDBqZMmVKjfdSoUXz//fd1XrNq1SpGjRpVo+2iiy5izpw5VFVV4ePjU+saq9WK1Wp1Pi8sLAQcL7i4j15fEZEzq7Ky0tNLaHaO/yxr5LnvIiIiIiIiIiIiIiIiItJIuDxZa/r06Tz22GPY7Xaio6MxTZNDhw4xZcoUnn32We6///4Gj3X48GFsNhsxMTE12mNiYsjLy6vzmry8vDr7V1dXc/jwYWJjY+tc85NPPlmrPT4+vsFrFRERkZaruLiYsLAwTy9DRERERERERERERERERBo5lyZrLV26lEceeYRHH32Uu+++m1atWgFw9OhRXnrpJaZMmcKAAQM477zzTmpcwzBqPDdNs1bb7/Wvq/24qVOnkpqa6nxut9s5evQokZGRJ5xHTk1RURHx8fHs27dPZWWlSdHXrjRV+tp1H9M0KS4uJi4uztNLEREREREREREREREREZEmwKXJWq+//jq33XYbTzzxRI32iIgIpk2bRl5eHrNmzWpwslbr1q3x8vKqVUUrPz+/VvWs49q0aVNnf29vbyIjI+u8xs/PDz8/vxpt4eHhDVqjnLrQ0FAlDUiTpK9daar0teseqqglIiIiIiIiIiIiIiIiIg1lceVga9eu5frrr6/3/PXXX8/q1asbPJ6vry/JycksXry4RvvixYsZMmRIndcMHjy4Vv+vv/6a/v374+Pj0+C5RUREREREREREREREREREREREXMmlyVoHDx4kMTGx3vNJSUm1ql79ntTUVP75z3/y1ltvkZ6ezr333kt2djYTJ04EHFsY3nDDDc7+EydOZO/evaSmppKens5bb73FnDlzuP/++0/pnkRERERERERERERERERERERERFzBpdsgVlRU4OvrW+95Hx8fKisrT2rMCRMmcOTIEaZNm0Zubi49e/bkyy+/pH379gDk5uaSnZ3t7J+UlMSXX37Jvffeyz/+8Q/i4uKYOXMm48ePP7WbEpfz8/Pj8ccfr7X1pEhjp69daar0tSsiIiIiIiIiIiIiIiIi0jgYpmmarhrMYrHw9NNPExwcXOf54uJiHnvsMWw2m6umFBEREWnxli9fzvPPP8+GDRvIzc1lwYIFjBs3rt7+//nPf5g1axabN2/GarXSo0cPnnjiCS666KIGz1lUVERYWBiFhYWEhoa64C5ERESkOVLMcOr02omIiEhDKGY4dXrtREREpCHcETO4tLJWQkICs2fP/t0+IiIiIuI6paWl9OnTh5tvvrlB1USXL1/OyJEjefbZZwkPD+ftt99m7NixrFmzhn79+p2BFYuIiIiIiIiIiIiIiIi0TC5N1tqzZ48rhxMRERGRBhg9ejSjR49ucP+XXnqpxvNnn32W//73v3z22WdK1hIRERERERERERERERFxI5cma4mIiIhI02O32ykuLiYiIqLePlarFavV6nxeVFR0JpYmIiIiIiIiIiIiIiIi0qxYXDnYmjVr+N///lej7Z133iEpKYno6Gj+3//7fzV+ySciIpCWloZhGBQUFHh6KSLSQr344ouUlpZy9dVX19tn+vTphIWFOY/4+PgzuEIRERERERERERERERGR5sGlyVpPPPEEW7dudT7ftm0bt956KxdeeCFTpkzhs88+Y/r06a6cUs6QJ554AsMwahxt2rQ54TWJiYm1tlk6Plbfvn2dfX477q+PESNG1OoXGBhIz549eeONN1x8l9Jc5OXlcdddd9GhQwf8/PyIj49n7NixLFmyxGVzjBgxgnvuucdl44mcruPfI1evXl2j3Wq1EhkZiWEYpKWlATBo0CDuuOOOGv1mzZqFYRjMmTOnRvutt97KkCFD3Lp28awPPviAJ554go8++ojo6Oh6+02dOpXCwkLnsW/fvjO4ShEREREREREREREREZHmwaXJWps3b+aCCy5wPv/www8ZOHAgs2fPJjU1lZkzZ/Lvf//blVPKGdSjRw9yc3Odx7Zt2057zHXr1jnHmz9/PgA7duxwtv3nP/9x9p02bRq5ubls3bqVcePGMXHiRD766KPTXoM0L3v27CE5OZlvv/2WGTNmsG3bNhYtWkRKSgp33nnnGV2LaZpUV1ef0TmlZYuPj+ftt9+u0bZgwQKCg4NrtKWkpLB06dIabWlpacTHx9fZnpKS4p4Fi8d99NFH3Hrrrfz73//mwgsvPGFfPz8/QkNDaxwiIiIiIiIiIiIiIiIicnJcmqx17NgxYmJinM+XLVvGxRdf7Hx+zjnnqApDE+bt7U2bNm2cR1RU1GmPGRUV5RwvIiICgOjo6FptACEhIbRp04ZOnTrx9NNP07lzZxYuXHjaa5Dm5c9//jOGYbB27VquuuoqzjrrLHr06EFqaqqz4lB2djaXX345wcHBhIaGcvXVV3Pw4EHnGMerv7377rskJiYSFhbGH/7wB4qLiwG46aabWLZsGS+//LKzmtGePXuc2xl+9dVX9O/fHz8/P7777jusViuTJk0iOjoaf39/zj33XNatW+eR10earkWLFnHuuecSHh5OZGQkl156KZmZmTX63HjjjXz44YeUl5c729566y1uvPHGGv1SUlKcibHHLVu2jKlTpzqrbwHs27eP3bt3K1mrmfrggw+46aab+Ne//sUll1zi6eWIiIiIiIiIiIiIiIiItAguTdaKiYkhKysLgMrKSjZu3MjgwYOd54uLi/Hx8XHllHIGZWRkEBcXR1JSEn/4wx/YvXu3R9fj7+9PVVWVR9cgjcvRo0dZtGgRd955J0FBQbXOh4eHY5om48aN4+jRoyxbtozFixeTmZnJhAkTavTNzMxk4cKFfP7553z++ecsW7aM5557DoCXX36ZwYMHc/vttzurwMXHxzuvfeCBB5g+fTrp6en07t2bBx54gPnz5zNv3jw2btxIp06duOiiizh69Kh7XxBpVkpLS0lNTWXdunUsWbIEi8XCFVdcgd1ud/ZJTk4mKSnJWalw3759LF++nOuvv77GWEOHDsXHx8eZmLV9+3bKy8u55ZZbKCoqIiMjA4ClS5fi6+urbRCbgJKSEjZv3szmzZsByMrKYvPmzWRnZwOOLQxvuOEGZ/8PPviAG264gRdffJFBgwaRl5dHXl4ehYWFnli+iIiIiIiIiIiIiIiISIvh0mStiy++mClTpvDdd98xdepUAgMDGTZsmPP81q1b6dixoyunlDNk4MCBvPPOO3z11VfMnj2bvLw8hgwZwpEjR0543YMPPkhwcHCN49lnnz2ttVRXVzN37ly2bdtWY9tNkV27dmGaJl27dq23zzfffMPWrVv517/+RXJyMgMHDuTdd99l2bJlNapd2e125s6dS8+ePRk2bBjXX389S5YsASAsLAxfX18CAwOdVeC8vLyc106bNo2RI0fSsWNH/P39mTVrFs8//zyjR4+me/fuzJ49m4CAAObMmeO+F0OanfHjx3PllVfSuXNn+vbty5w5c9i2bRvbt2+v0e/mm2/mrbfeAuDtt99mzJgxtSohBgUFcc455ziTtdLS0jj33HPx8/Nj6NChNdoHDhxIYGCg2+9PTs/69evp168f/fr1AyA1NZV+/frx2GOPAZCbm+tM3AJ44403qK6u5s477yQ2NtZ53H333R5Zv4iIiIiIiIiIiIiIiEhL4e3KwZ5++mmuvPJKhg8fTnBwMPPmzcPX19d5/q233mLUqFGunFLOkNGjRzsf9+rVi8GDB9OxY0fmzZtHRUVFjQSs7du3k5CQAMDkyZO56aabaow1c+ZMli9fftJrePDBB3nkkUewWq34+voyefJk/vSnP53aDUmzZJomAIZh1NsnPT2d+Pj4GpWwunfvTnh4OOnp6ZxzzjkAJCYmEhIS4uwTGxtLfn5+g9bRv39/5+PMzEyqqqoYOnSos83Hx4cBAwaQnp7esBsTwfG19Oijj7J69WoOHz7srKiVnZ1Nz549nf3++Mc/MmXKFHbv3s3cuXOZOXNmneOlpKTw8ccfA46krBEjRgAwfPhw0tLSuP3220lLS6tRjUkarxEjRji/B9Zl7ty5NZ7/ertLERERERERERERERERETlzXJqsFRUVxXfffUdhYSHBwcE1Ks0AfPzxxwQHB7tySvGQoKAgevXqRUZGBs888wxXX32181xcXJzzcevWrenUqVONayMiIk5pzuOJX4GBgcTGxp4wIUdaps6dO2MYBunp6YwbN67OPqZp1vm189v2327ZahhGje3mTuTXWzDWl0BW3zpE6jN27Fji4+OZPXs2cXFx2O12evbsSWVlZY1+kZGRXHrppdx6661UVFQwevRoiouLa42XkpLCM888Q05ODsuWLeP+++8HHMlar7zyCtnZ2WRlZZGSknJG7k9EREREREREREREREREpCVw6TaIx4WFhdVK1AJHks6vK21J02W1WklPTyc2NpaIiAg6derkPLy9XZoD6HQ88SsuLk5JLlKniIgILrroIv7xj39QWlpa63xBQQHdu3cnOzubffv2Odu3b99OYWEh3bp1a/Bcvr6+2Gy23+3XqVMnfH19WbFihbOtqqqK9evXn9R80rIdOXKE9PR0HnnkES644AK6devGsWPH6u1/yy23OKti1fXzGGDIkCH4+fnx2muvUV5eTnJyMuCoDFdYWMgbb7yBv78/gwYNcss9iYiIiIiIiIiIiIiIiIi0RO7JqpFm5/7772fs2LEkJCSQn5/P008/TVFRETfeeKOnlyZSw2uvvcaQIUMYMGAA06ZNo3fv3lRXV7N48WJmzZrF9u3b6d27N9dddx0vvfQS1dXV/PnPf2b48OE1ti/8PYmJiaxZs4Y9e/YQHBxcb8W4oKAg7rjjDiZPnkxERAQJCQnMmDGDsrIybr31VlfdtjRzrVq1IjIykjfffJPY2Fiys7OZMmVKvf0vvvhiDh06RGhoaL19AgICGDhwIK+88gpDhw51JnX5+PgwePBgXnnlFWdCl4iIiIiIiIiIiIiIiIiIuIZbKmtJ87N//36uueYaunTpwpVXXomvry+rV6+mffv2nl6aSA1JSUls3LiRlJQU7rvvPnr27MnIkSNZsmQJs2bNwjAMFi5cSKtWrTjvvPO48MIL6dChAx999NFJzXP//ffj5eVF9+7diYqKIjs7u96+zz33HOPHj+f666/n7LPPZteuXXz11Ve0atXqdG9XWgiLxcKHH37Ihg0b6NmzJ/feey/PP/98vf0Nw6B169a/W80yJSWF4uJiRowYUaN9+PDhFBcXawtEEREREREREREREREREREXM0zTND29CBERERFpWoqKiggLC6OwsPCEVdxERESkZVPMcOr02omIiEhDKGY4dXrtREREpCHcETOospaIiIiIiIiIiIiIiIiIiIiIiMgZoGQtERERERERERERERERERERERGRM0DJWiIiIiIiIiIiIiIiIiIiIiIiImeAkrVERERERERERERERERERERERETOACVriYiIiIiIiIiIiIiIiIiIiIiInAFK1hIRERERERERERERERERERERETkDlKwlIiIiIiIiIiIiIiIiIiIiIiJyBihZS0RERERERERERERERERERERE5AxQspaISB1uuukmxo0b12jGERERERERERERERERERERkabP29MLEBH5rZtuuol58+YB4O3tTXx8PFdeeSVPPvkkQUFBHl5d3fbs2UNSUhKbNm2ib9++zvaXX34Z0zQ9tzAREREREREREZHfY7dBtRV8AsAwPL0aERFpKSrL4MguOJoJBdlQmAMlB6HsCFQUgLUEqivAXg0Y4O0HPoHgFwKBkRAcDWHtoFUiRHaCqC6OcyIiIo2ckrVEpFG6+OKLefvtt6mqquK7777jtttuo7S0lFmzZnl6aSclLCzM00sQERERERERERGp2/4NsHwG7E5z/DLcLwza9YfOI6HzKIjooOQtERE5faYJRTmQsxFy1kPeD3B4JxTuc/1c4e0hri+0GwCJ50KbXmDxcv08IiIip0HbIIpIo+Tn50ebNm2Ij4/n2muv5brrrmPhwoVYrVYmTZpEdHQ0/v7+nHvuuaxbt855XVpaGoZh8MUXX9CnTx/8/f0ZOHAg27Ztc/Z54oknalS/AnjppZdITEysdz2LFi3i3HPPJTw8nMjISC699FIyMzOd55OSkgDo168fhmEwYsQIoPY2iA1d/5IlS+jfvz+BgYEMGTKEHTt2OPts2bKFlJQUQkJCCA0NJTk5mfXr15/MyysiIiIiIiIiIi1ZYQ58ehf883zYuciRqAVgLYTMJbBoCrxyNjzfCeaNhc/vhdWvQ9ZyqCjy7NpFRKTxs9sgbxus+yd8fBO82BX+3gP+fT2sfNnxs+Z4olZAhCOxqtf/wdB74OK/wvg5cN18uOUr+H/LYOJKmLgCbvsWbvwMJrwPY2dCysNw9g2QOAyCYxzjFeyF7f+Frx+GN4fD8x3hP/8P0j9zVPISERFpBFRZS0SahICAAKqqqnjggQeYP38+8+bNo3379syYMYOLLrqIXbt2ERER4ew/efJkXn75Zdq0acNDDz3EZZddxs6dO/Hx8Tml+UtLS0lNTaVXr16Ulpby2GOPccUVV7B582YsFgtr165lwIABfPPNN/To0QNfX986x2no+h9++GFefPFFoqKimDhxIrfccgsrV64E4LrrrqNfv37MmjULLy8vNm/efMr3JSIiIiIiIiIiLUR5Afz0OWz/FHZ9A6bN0d7nGhgyybGN1LE9joSsHf+DfWug7LDjedbyXw1kQFRXiO7muCYsHiI7QttkCAg/8/clIiKeY5qOLQuP7YHDGXAo3ZGktW8dVBbX7Gt4OX52tOsPsX0gujtEdoagSNetp+yoY/6cDZC9CvaugvJjsPUjx+ETBF1GQ7dLodOF2jJRREQ8RslaItLorV27ln/961+kpKQwa9Ys5s6dy+jRowGYPXs2ixcvZs6cOUyePNl5zeOPP87IkSMBmDdvHu3atWPBggVcffXVp7SG8ePH13g+Z84coqOj2b59Oz179iQqKgqAyMhI2rRpU+cYx7dxbMj6n3nmGYYPHw7AlClTuOSSS6ioqMDf35/s7GwmT55M165dAejcufMp3ZOIiIiIiIiIiDRzdjvsXgqb34f0z8Fm/eVc+3Ph/Eeg/eBf2mJ7O44hf4GqCjj4Ixze4fgF/OGdkLsVCrMdv4w/lF5zLsPLsd1U8o3QfZy2nBIRaQ5Kj8C+1XBwu6MSVtkRR/JvRSFUFEDpoV+qM/6Wbwi0S4aEwY6fD3Fng2+ge9cbGAEdhjsOAFu1I/n4py/gp8+gIBt++MRxePlBwiDH2toPgbh+4Bvk3vWJiIj8TMlaItIoff755wQHB1NdXU1VVRWXX345d911F5988glDhw519vPx8WHAgAGkp9d8c2jw4F/eZIqIiKBLly61+pyMzMxMHn30UVavXs3hw4ex2+0AZGdn07NnzwaPUVVV1aD19+7d2/k4NjYWgPz8fBISEkhNTeW2227j3Xff5cILL+T//u//6Nix4ynfm4iIiIiIiIiINDO2Klj/Nnz/iiO56riobtDjCscRddaJx/Dxd/ySvV1yzfbig5C72ZG8VZjj+OX9wR/hWBZkLXMckdPhgkeh22VgGC6/PRERcaPqSvhhPmx8x1GdCvP3rwmJc1RZbH0WxPSAduc4PtaXuGu3OxK9SvMd1bAqS6CqHOzVjmpdXj7g5Qt+weAfBoGREBR98sleXt6QONRxXPQM7F8P6f91JG8d3f3Lzy0ADIhIclT8iuriuJeIDo4jMFI/z0RExKWUrCUijdLxKlo+Pj7ExcXh4+PDli1bADB+ExCbplmrrS7H+1gsFkyz5n8uqqqqTnjt2LFjiY+PZ/bs2cTFxWG32+nZsyeVlZUNvqfjczZk/b/e1vD4ueMJYk888QTXXnstX3zxBf/73/94/PHH+fDDD7niiisavBYREREREREREWmmSg7Bh9fA/nWO5/5h0Otq6Huto2pIfe+jFR+E3C1QlOPYIjEgAlolOn5h/etKIyExEHIRnHVRzeuPZsGWD2DNG3AkA/59g+OX9SOmQIfzwWJxy+2KiIiL2O2w7d/w7TO1E31j+zh+JgRHQUAr8AtzbH0bGAmhceDtV8+YNjiyy/Hz5eCPkJ/ueF6QDfYT/16mTv7hEB7vWEtEB2iV9HOSWBcIjj5xQpVhQPw5jmPkU46k46zlsHclZK+G4lxHAtfR3Y5tg3/NLwxad4aY7tCmt6NKWGxvR1KZiIjIKVCylog0SkFBQXTq1KlGW6dOnfD19WXFihVce+21gCPJav369dxzzz01+q5evZqEhAQAjh07xs6dO53bBkZFRZGXl1cjSWrz5s31ruXIkSOkp6fzxhtvMGzYMABWrFhRo4+vry8ANput3nFOZv2/56yzzuKss87i3nvv5ZprruHtt99WspaIiIiIiIiISEtXdhTeuQzytzuStC54DPpeBz4BtfsW58HuZZD9PexZ4fjleV0Mi6PKSPuh0HkUJJ0H3r61+0UkQcpDMPgv8P1MWPUPR8LYe+MhvD10usDxy+34AY5qJapQIiLSeBzcDp/dDfvXOp4Hx8CA/wd9roGwtg0fp6rcse3gnpWOjzkbobK4ns4GBLV2JAf7hTh+Vh1PfrJXO7bjrSx1bLdYdsSx3WJFAeQVQN622sP5hzt+XkX/f/buOzqKuvvj+Hs3vXeSkAah9ypFpBcFpaMoigWxYa+P7dGf7VGxNxRUFMUCgihKEZQivfdeQkJCCum97v7+uLvZhCQQSkiA+zpnzszOzs7MDp6dke+He1tIVa/g9jJ3cK7k0AYJIwc0gy73yLrsJAmUndwvU8oRCSJnxkFBBsRtlsnK0R0a9JTwcouh8l2UUkqpatKwllLqkuHm5sYDDzzA008/ja+vL+Hh4UyePJnc3Fzuvvvuctu++uqr+Pn5ERgYyAsvvIC/vz8jRowAoE+fPpw8eZLJkyczZswYFi9ezKJFi/D09Kz0uD4+Pvj5+TFt2jSCg4OJiYnh2WefLbdNvXr1cHFxYfHixYSGhuLs7IyXl9c5n39V8vLyePrppxkzZgwNGzYkNjaWTZs2MXr06GpeRaWUUkoppZRSSil1WcrPhB9ulKCWexDcuQD8y/9jSEwlsGcebPwSjq8/ZQeWgWufhtK2KicZUo9Im6rE3TJtnCoVVVoOh9ajIfxqaTFVlrMn9HsRrroHVn8A23+A9GjYPB2YLtv4NoKu90GnuyoPfimllLo4TCZY+5FU0zIVSQCp55PQ7YHKg76VyUmxtRY8tlpCVWU5uEFQGwlO1WshgV2fCDDYWdogpkkbRFOxhKjsXeRe4hYAHsGybDZDfgZknpCqXGlRtipYKUfkPpOfLgHkmLW2YxsdpBpWSCep9hjeTe5zlQWG3evJ1Khv+fVFeRLaOrlfwlzxOySMnJ8OBxfJtOBJaDwAOtwGzQZrxS2llFJnpGEtpdQl5a233sJkMjF+/HiysrLo3Lkzf/31Fz4+PhW2e/TRRzl06BDt2rVj/vz5pdWvWrRowZQpU/jf//7Ha6+9xujRo3nqqaeYNm1apcc0Go38/PPPPPLII7Ru3ZpmzZrx8ccf06dPn9Jt7O3t+fjjj3n11Vd56aWX6NmzJytWrDjn86+KnZ0dKSkp3H777SQmJuLv78+oUaN45ZVXqncBlVJKKaWUUkoppdTlJz8Dvh8lFT+cvWH8vIpBrZMH4dd7IH67bV1we2jYE8K7Q8TVEsQ6VVaCtIc6ukIG4nOSYMu3Mjl5yecb9YNmQ8Az2PY5j0AY/JZU9zryj+zjxHY5x9QjsOgZ2PQVjJwKIR0v8AVRSil1RrmpMHei/EaD/I4Pebf6lbTitsDaT2HfH+VbGnrUhwbXSDAqrAv4NZHA7/ENcHyj3D9SDlcMdVXF2VtaHvo3kVCxf1MJRvk0tAWGi/KlrWHSPkjaI5W34ndIRa74HTJttgSG3QPlntegJ0T2kX2frtqjg4sEvgJbQutRss5kgoSdcHipfP/4HXDoL5ncA6HTndDxdvAKrd53VEopdcUxmM1mc22fhFJKXSgrVqygb9++pKWl4e3tXduno5RSl63MzEy8vLzIyMiosjKhUkoppZQ+M5w7vXZKqWorKYaZoyBqpYStxv8G9duX3+b4Rpg5Rto4OXnB1Q9J9Q/P+vJ+Ya5UKUmLts2zE2S9vRN4hUH9DlJtJGkv7Jojwa281DIHMUibxB6PyCB9VQqyYefPsOJtCX4ZHWDoh3I+Sqmzps8M5+6KvnaJe+CnW6Qilb0LDJkMHcZXr0VtahQseRH2/2lbF9QWWo2UqlIBzSEvTUJMBxbBsVVSOetUBjsJNrn6gZM7GO2lglZxnoSQc07KvCpGBwlaWQNcAc0lUOXfVCpbmc1ShevEVojdLPfC+O1QUlh+P15hENkbIvtKgMsjsFqXsJzkQ1JJcttMOW+QNsJNroX2t0DT6+R+qpRS6pJUE88MGtZSSl1WNKyllFIXxxX9l1lKKaWUqjZ9Zjh3eu2UUtW28UtY+JS0mZqwCILblX8/5Qh82U/aNYV1g5tmgEcQnDwAm76Wiioph6t3LKO9DMR3f0jaSZ3YBkeXw8ElELvRtl3D3jDw1YqhsbJyU2H+w7bB/r4vQu+nz+abK6XQZ4bzccVeu73zYd79UJQD3hFw848Q1PrMnzOVwPopsOx1qYplMELbsdBtEgS3lXBU1Eq5Lx1cLG0NrZy9pYpjSCdpiRjQTEJSZVvpFhdKqMtskvuNo5sEq9Ki5T6VfFDuXckHJBxVlFv5edo5yb0wvCs07AMNethaOhblS4XHY2sg6l+5d50a3vJrIhXBQjpJ5cd6rarfsre4UO5rm6dLSM3KxQea3wCtRsg9UtskKqXUJUXDWkopdQYa1lJKqYvjiv3LLKWUUkqdFX1mOHd67ZRS1WIywcftpHLIkHehyz3l389NhenXycB2SCe4408ZsP73XVjxPxkQt3L2Bp8GtsmzvgyUF+VB6lEZdE7YZds+ogf0fAIa9ZdKLClHYN1nsPU7Szssg1TLGvgquPpWfv5mMyx/A/59R173fQF6P3PBLo9SVwJ9Zjh3V9y1KymGZa/Cmo/kdcNecOOMqn+jy0qPgXkPQPRqy2d7w5B3JHQFcGQ5LHtNWiNaBbWBFsOhyUCpvGU0yvqsBNnuxHap1ph6FDJioSCz4nEdPaTSlWcIeIdLJS2/xjLZO0k1yJMHLC0Q98v+Tt2Pg6u0TWwzRipdOTjb3ivMgeh1EjyOWgkJu4FThs6NDlK1K7idhLfCukC9lmC0O/01Sz4E276HnbMhK9623tkbml8vLRUb9ikfWFNKKVUnaVhLKaWUUkrVCVfcX2YppZRS6pzoM8O502unlKqW2C3wVT9wdIenD9sqhwBkJcLM0ZC4Czzqw73LpaLW6g/h75dlm2ZDpO1VWBdw85d1eekQsw6Ob4D4nTJAX1wAbn5SgaUgE47+C2ZLxRT/ptDpTmg9RgbU06JlwH7XL/K+WwDc8CG0uKHq77H2E2mpBTB8CnS49cJdI6Uuc/rMcO6uqGuXHgNzJ8pvO0C3ByVMe6agkNks7f0WPye//w5ucN3/oOMdtqDu4ufg0F+yvYMrtL8Vrrob6rWQdbmpcGQZHF0Bx1ZLwOpCMNiBXyMIbC1BqvodZMpOgthNEiw7vAyyTtg+4+wl7Rpbj4bwqyt+/9xUaZcYu8kSKNsmlSlP5egBEVdLe+DGAyQ8VlULSVOJBJ73/i5VzXKTbe95BMu17HKP7T6slFKqztGwllJKKaWUqhOuqL/MUkoppdQ502eGc6fXTilVLcv/ByvfhhZDYexM2/q0aJgxFNKjJSx1xx8yaJ6wC6b2BnMJXPs/6P6gbJ9+HHbPhQOLpCVU2YpblXEPlOom8TuljRZIO6wmgyS41eRa2c8fj8HJffJ+xzvgujelWldllr0uFbbsnCRYFtjqfK6MUlcMfWY4d1fEtTOZpLrTkhclbOXkCcM+kXZ8Z5J6FP58QqpOAYR2gVFT5fe/KA9WfyAB4JICaVt41UTo+RS4B0hgavevsG++BIDL3VcMck+q31HaL/o1kapZbv4SPi7KlcBx7knITZOwVH4G5KbI/Sr1MCQfhsKsiudstJdKko0HQNPrJMiVsAP2zINdcyAzzratszdE9oaQznLP8W8iFbzKVswymyHjuNzvTmyTENeJbRWrd/k1hhbDpFpWYOvTB7di1sm12TMP8lJlvaM7XPM49HhUWyQqpVQdpGEtpZRSSilVJ1wRf5mllFJKqfOmzwznTq+dUuqMSorh006QdgxGToN2Y2V9QTZM6wMph8CnIdw2VyqPFOXB1wMlsNViGNz0nQx+L3lRqqaUHUj3ayztqwx2UgEkO0kGz81myEm2BbScvWSwPTcFEnbaPu/fDPo+LwPlK/4Haz4GzLLfEZ9LJa9TmUzw01g4tEQqpNyz/MwtppRS+sxwHi7ra2cqgYOLJQR7YpusC+sKI6eCb8PTf7a4QH63V70Lxflg7wx9noOrH5Zg7t7fYel/pVoXQKN+cN3b8ht/5B/YPB0O/iXBYKvA1hDZR9onhneV+0dWIsRvlyBU0h5pG5gWXXkIy8rBVQJVPg3AM1gqfZlKIDsB4rZCZmz57X0joeVwqaQV0FKqbe2aDfsX2oJSZRntwT0I3OtJMLlcC8ZGENBUglWJu6VS2OF/IHqtpf2vRb1WUiGy/Thw8Tn9dd7/p7SljN8h6+p3kPC1V2jVn1NKKXXRaVhLKaWUUkrVCZf1X2YppZRS6oLRZ4Zzp9dOKXVGG6bComdkIPjxveDoKusXPw/rP5PB5Yl/g2d9aes05y4ZWHbxhUnrJQj1zRBIPiCfi7hGKnSZimUgPnbj6Y/v4CIBMKugNnIucdtsA+0R18DQj6SSybz7ICseMEi7p34vymB9WVmJ8NlVEiIb8q5sp5Q6LX1mOHeXxbUryoO8NAnNZiVIW8LYTfJ7b2235+guYatuD5w5BHv4b1j4DKQekdcNe8MNH0jo98Q2ucfErJX3PEPh2jekitWOn2D9FKnGZRXSWSpNtRgKTh7Sujdus+znxDbITqz6PBxcpRKj0R5KiqAwW4JjVbF3lopaQW3B3glOHoSjy8p/xqeBVH5s1FeCxmlREL0GTmyHk/shNap86KoqXmEQ0lHaKDbqK+Guw0th729wcIlUGrN+hw7jpVqWV0jV+zOZpHXw4v/In6V7EIyfB4Etz3wuSimlLgoNaymllFJKqTrhsvjLLKWUUkrVOH1mOHd67ZRSp5UaBZ9fLdWurn9PWk+BhLLeay4DxbfOhSYDZBD651ul2oiDG9z6C4R3g++Gw7FVEuoaPR2y4mDJS2WqkhikIomdI+SlQF66VNqycyjf/snBVc7Dys4RAprLwHdJobQ17PcCtLsFlr4kA/oAbvVg8FvQalT5dlEbv4SFT0l7qoe3gptfzV1HpS4D+sxw7i6pa5efAUeWw/GNUoUq7Zit6mFVXHykNW23SVIp6nTSY+Cv52HfH/LaPVDa5bYeLSGwf16x/X7bO0OPx6DjeNj2A2z4XEJGAE5e0OE2aHuTnN+RZRD1r5zzqQxGaYEY3E6CSU5eUrkxO1G+X0asVHMszJZAk9HOFuJycJHPF+XKdoXZ5fft6ichMvd6UrHryHJbiMrKMwQCmkkVSs/60jbYYAeYJCBWXCD3vqw4qfiVctgSOj6FbyNoc6NcD0c3aXG4ebpU37Jer6sfgZ5PgoNz1X8GadHw082QtFf+7G77VUJhSimlap2GtZRSSimlVJ1wSf1lllJKKaVqjT4znDu9dkqp05p7j7RxatATbp8PRqOs3/Q1LHhCqlzdt0oqnHzZVwb5fRvBTTPkvRVvwYo3pdrK3UthwxewdYbswzUAfMJlkLm4oOpzABnULm1zZZBBauuAuZ2jDISnRcnr4HYw+B0ozoMFT8qgN0Cz66X6lnuAvC4phmm95fgdb4dhn1ywy6bU5UifGc7dJXHt0o7Jb/buXyuGjawMduDqKwEr7wj5vW3QQ9oe2jmcfv8FWdLycO0n8vtssIOu90OfZ+V3fP1n8O97tva3bW6Cax6T89kw1VZJ0acBdLlPzmH/H1JhyvoZK99IqbYV0gk8giXQm7QX4rZIpa2yQeCz5eQh391ggNRj5Vsp2jlBRHc5Zn4GJB+03YPOxMFVglzeEeDfVFo9OrlLQOzYKmmBWFIo2xrsoO1Y6P9fOdbRFbBysq0SWUALGPs9+Dep+ni5qfDDGLkmDm4w7GNoM+ZcrohSSqkLSMNaSimllFKqTrgk/jJLKaWUUrVOnxnOnV47pVSVSorgrXCpJjJxGYR2sr330zg4sAD6vyQVPH66BQ4shNCrpEKHsyfs+Q1+uUO2HzkNEnbCuk+lQknL4dICq8A6+N5Q2j2VFEjVlOICsLOH4iLIOA5YhhfKhbaQgXFrqMA7XAafrSGu5jdA7//A/gWw6j1pOeUeCDd+CxFXyzbRa+GbwbJ8++8Q2efCX0elLhP6zHDu6vy12zkbfn/I9nvq10R+D4PbSVtCjyCpIOXkWb5CYXXkZ0jAd91ntnaJEdfAkMkQ2ErCVouesQVuQ7vAgFfg+HpY/SEUZMj6wDbQ6Q4JL23/AXJO2o7hGSLVrQJbSTvDlCNyz0nYKcc/lb2LBIrrtZT7VXG+VLbKTZXjFeXJvcZgJ/vDDAU5UhHy1BaJ3uHg4gdZJyq2WzQ6yPVzD5QKXRikBXBxPuRn2tpKnho2K7f/CKmm1WYMJOyCrd9JeAskZDX0Q6kuZjZLa+GFT8m1cfKEcbNs97vKFGTB7NulKhnIfbP/S1IFTCmlVK3QsJZSSimllKoT6vxfZimllFKqTtBnhnOn104pVaX0GPiwjVQ8eSHRVlUL4L0WMjB912Ko1wImR8rA9oMbZZA3ahV8P1ICUl3uhabXwszR8tluD8D6LwCzDJTbOUD8jtOfi52jDJoX59nWlQ1uGe1lANzeBYLbSvsuzBIM63SXDHL/+bi0TDQ6wPBPod3N8tk/n4DNX8tg+r0rpLKJUqoCfWY4d3X62h1YJC3xQKooDnilfDj3XJhMELsRtv8Iu+bYwki+kdD/ZQnspkfD4uck6AvgHiTHtnOQVrbWVrn1WklIK24z7Jpr+913D4SWIyRIlnwAjq6svHWg0QHqNYfg9hLmsneGzHg4vg5iN5++vWNlXHzBOwyKCqRyFibbe85eEjw2meT8T1fBy85Jgl6+kVItzNoesaRI9ntiq1S9slbTMjpA1/ug34uQuBcWPyvXGGDA/8E1j8tydhLMGi9hNwdXuOMPCO1c9XmUFMPKtyXUbC4BDNBkEHSeIAE4O/uzuz5KKaXOi4a1lFJKKaVUnVCn/zJLKaWUUnWGPjOcO712SqkqpUXDR21lYPuFBFs1lZIieM1flp8+Ii0Qvx4InqHwxB6p1PFJZ8hOgBbDpLXS59fIwHX7W6XyR2G2DAYfWyOD+EZ7aDwQGvaS9k8OlsH0mHVwcDFkxtnOy2iPVCcpsqwwAGYJdFkHtUM6SauqoyvktWcIjPwCNk+HPfNk3fXvw1V3Q2EOfDVAWmTVaykD227+NXttlboE6TPDuauz185kgk86SAvETnfC9R+UD+aejZIiiF4j1Qz3Lyj/ux3QHHo8Kq0Ni/Ng9Qew9lOp5GW0l3aIrUdLSMtaNcozFK5+SKpJ7fgJzJZQVIOe0GQgJO2DvfPLV6UyOkg1sJCOEsxycJPKWom7JPiUuLd8dUYAJy8J+dZrCT4R4FYPHF3leAXZci9LjZJ7RPwO230GwN5JWg4a7CRgVbYlIkjwzDMEXHzk3EoKpHpXVrwEjCvjHghNr5P7k19juQdu/sZ2Xep3sFSw9IJlr8Pq92X9Td9Dy2GyXJgLP4+Do8slXDbxb6nwdTpJ+2R/+/+0rfMIljbBXe4DN7/Tf14ppdQFoWEtpZRSSilVJ9TZv8xSSimlVJ2izwznTq+dUqpKhTnwP0uVqf9Eg4u3LOdnwlthsvxCIhzfAN8Nk8H4BzdIu6sFT0hrw0nrpHLKlm+kckhgaxkIDu4gLa/y02XgfcQUGRSPWSdVQQxGaU3lXk8G7AuzpU3T3vmQEWM7R2tFLYNRBtbLBrnsHKHdOIhaKceyc4Qx30iYYP0U+fzor6XqVtox+PpaGZT3aQCjp59/ZRmlLjP6zHDu6uy1S9wLn3eXUNPThyWkdDbMZojdBNtmShA3P932nqMHtLgBOtwGET3kt3rrDFjxlq2FYWQfGPAq7P9DWh6aiiQg3P0RMBpg7Se2ylfNhkjId/dcW3AJpE1gi6GyL7NZfuOj10L89vLBKivPEAjvDhHdIfxquXdVN6BWlC/3vENLJJBmbd0Ich8KaC7tIgtzpBVjQSUtGA12Eg6r31HCWHYOkHIY4ndKNa2ybRZbDJVgsXs9OPgXzLsf8lKljeQd88FoB3+9IC2G3QLg4S0S4gK5p864AU5sk/vxhL/AI/DM3zHliASbd/wkLRpB/iwHvQad76redVJKKXXOauKZQWskKqWUUkoppZRSSimllFKXCkc3qciRlwoZsbawloOLbZuiXKkYApCTLPNjq2Xe4VZpO7jlG3ndbRIsekYGtN18IX6bDFaP+Bz+fAwO/3368/FpIIPx9ZrDie0yYG8qlmolpiIkpGWpVOIVLqGurd9Co37SmvHgYvjlTrhtLphKYONU+O0BGcQO7QR3LoCZoyS49VV/aD0Kuj0oFVqsVcWUUupyYm0b6NPg7INaMRtg6X8lvGTl6iehqubXQ2RfqZJYUgw7Z0lIyxpu8m0k4R9Xf5h7N6QckvVNr5PWhv9OlqqNAGHdoPPdsGu23CtAgrmtRkn1KTtHCYHNvVuqaJXl7CXtD+t3kN/ykM7gFVL1dyrIgow4ue+VFEkbQc9g8KgvgS4HZ4jsLdOg16Xq1775EtxK2iuTlcFOqnV5hYGjuwS3EnZBdqIEqE5sk+086kug7cZv5H4avQa2/SBVIPf9AXFbYfxv0k74zgXw9SCIXg0bpkL3SdJW8uBfcg3XfiJtEgGc3OGWWVL5Mi1KQtW3/y5tI0/HrxFc+4bs1xqiS9gp174gUyqkKaWUuqRoZS2llFJKKXXW6uy/PFRKKaVUnaLPDOdOr51S6rQ+6yqBq9vny+C01VsRUkFl0nrwCoU3Q2X9M1Hw0y1wfD3c9B3snC2VtFqPkYHk+B0yiL9/AWCAuxbC/EfkPaMDNOwpVVJA9p+VAOkx5dtpAfg1kUH6bTMhcbetslZZAc0h9RiU5Ev1FFc/GXh28YX7V8PCp+HAAgl23b9Kwmi5qbDoPxIKsArpBH2ehyYDLuilVepSo88M567OXruYDTB9kPwOPr6r+p9b8xEsfRkwSyWsVqOg3c3Q4Bqp9gRS5Wrvb7D8f9IiEKT6U69noP04CWSt+Vj24R4I/S0tEHf8LNu6B0Hv/0hQaOsMW/XEjrfDNU9I277V70tFRiu3etB4gNxLwrqCb2TVYduCbKkKFrtJWiTG74SsE5Vv6+QJoVdJYKrFMAlwnSr9uFSAPLZazinjePn37ZygcT9p+WvvLC0KDy2xBczsnaUdZK+npI1vwm6Yc5dcO/cgmLgUvMOlJeKfj8k5PbwV3AOk6uTs8VIh7ZFt5StopR6Fb66X7+bTEMbPA9+GVf/ZnspkglXvwvI35D79xD45plJKqRqhbRCVUkoppVSdUGf/MksppZRSdYo+M5w7vXZKqdP6vIeEoW77FRr3t63/9CoZQL7jD2jYCz5oI5Ws7lwIfz0v7afGfAu/TpRqV32elaoqjp4Q3EYqh7S5USqP7PxZWh2OnwcBTSs/j7x0GVA/+JcEqayD223HQm4aHF5SPrBlbY/o01DabRVmy7aJeyFxFzQdDKOmwdSeUkmrw20w/DPb8eJ3wLopUtmkpEDWtR4NN3wo7RmVugLpM8O5q7PXLisB3msmv58vJklLvjPZORt+vUeW290CA/6vYrWmxD3wx2MQu1Feu/jA1Y9Al3vlmHPukhCWdR9NBkrL3OxEwACdJ0iwa91nUJgl27UYJlWjEnfbqj2BBIhajYSO46XdojUsdqqSIji+UUJSUf9KQMtajbEsJy9w85OKXYW5EnIqu53BKFXDOt4uVcTsHSs/XkachLaOrZYQV3q07T33IOh2P3QYL616138u9ziQSlvXvyvB5pwU+PZ6OLlPQsp3LwFnb/iyr9xn294Mo6ZKMO6rARC3We5VY6aXP5fUKPhuuJyDR30JSp9NYMtslvtlwi7Zd+vR1f+sUkqps6JtEJVSSimllFJKKaWUUkqpK11hjswd3cqvd7C0yyrKl3lAMwlrJR+0VTFJ2isD3L6NYMsMWdd8iISz7ByhybUS5sIAN35bdVALpOpVk4EyDXgZVr0nlV12zpLKV82HStUsK1OxVClJi5LKX4U5sm2/l6RS2MFFEL0WRk6F6ddKha6Od0BYF/l8cDsZAB/0Oqz5UAbSd8+FpP0w/tczt5FSSqlLgVs9mZtNkJcG7vVOv31hroSqAHo+KdWwTrXlW1jwlLSndXCVkFb3SdKScM9v8PuDEqB18ZVQUvQ6mDNBPuvXRIK1W7+TewpIC8Pez8jv78wxtvUObtD5Luj+IHjWr/x8c1OlBe6BRXB0hbTxK8szFMK7SdWs+u3lXmZt7WtVUiz3s6iV0pbw+AY48o9MLr7SMrfVSGnXaFdmONwrBNqMkclsln3s+kVaHGYnwN//J6Gz7g9Je97otbD4WQkQ/zxO9jn4HXnv60FSgXLmKGlleP17Es7a+TM0GwytRsCQd6SF7+650GSQVDqz8m0oQa/vhss98Meb4N6V1W99aTDYrktxYfU+o5RSqs4w1vYJKKWUUkoppZRSSimllFLqLOSlydzZu/x6a2Ur60Cvd5jMsxKkWhZI6yWQdkxZ8VJJ5PDfsq7HY9JWCWSwPeyq6p+Tk4dUchk/TwaP47bAiS3QYmiZjQxQnC9tpzJiwcPSsmr1+9J+C6QCWP2OUlULYOlLMqBelnsAXPsGTPhLzj9pD8wYKgEApZS61OWctC07VCO4c2Ah5CZLO74+z1V8f8NU+ONRCWo1HQwPb4G+z4GjByx7A365Q4JaEdfAuNkSVtr0pXy23TgJiy1/XQJZHvWh19PSynD2HfDPK7LexRd6PwuP7ZLf51ODWjkpEhibMQzeaQy/PQD75ktQy9VP2vIO+wQe3QFP7IExX0uVq/BuFYNaIAGs4LZw9cMSeHp4qwTVPIIhLxU2fSXVryZHwk/jYO0nUsHLGmYGCTsFtpJ71+N7YMTn4N9U2v0ufx0+bCttDycsgWsel/vonnkwpau0Fb5trnzvE9vg+5Hg11i2A/j9ITh5AEI6SotJkKpm8TvLfw+PIAl6eQRLsHrNh2f+87bKz4DYzbIc2Kr6n1NKKVUnaGUtpZRSSimllFJKKaWUUupSUpQrcyd327rCXFs7J99GMi+ttJVr2y4rQebWYJNPhFQk8W8GphKp7uEWAP3+W/6YJw9I26jsRAlPOXnIYHxga6l6Yq3cFdkHJv4DP46ViiM5yVJN5NASwCyD3SUF0hIx64QMdOelSotD1wBIPQIbp0LfF2DnL9Ku6uhyaNSv4nUIuwomLJYB+eSDMPt2GP9b+SoqSil1qVnzkczrdyz/O1+VffNl3ubGii0To/6FRf+R5Z5Pym+7wSCVqeY/DDt+lPe6PyRBrp/GQm6K/Da3HA7bf5TfbDsnqcKYcgT+fce2/+D20OUeacHn4FL+2NlJEiTb+zscXQnmEtt7ga2lpWCTa6VKl7FMfRGzWcLEKYch84SEkkzFUk3SM0SCSaeGwfwaSUWxPs9D1ArY/ascOy8NDiyQCaSCZP0O0KCn3FfCuso9w95RQsNtx0oga+Xbcl9Z/roEvbpPgjvmy7VM3C1Vx1qPhrE/wKxbJaD8/Qi49VcJhUWvhp9uhnuWSQWyuM0SjP75VrhvJbj62s7dIwiu/Z+0odw4DXo+VXUbx7I2fyP394DmENTmzNsrpZSqU/T/WJRSSimllFJKKaWUUkqpS4m1Spap2LYuYae0zHIPsrUDtLZLdHCRiiogFUNABsABkvbJvPMEWPKCLA95xzaQnJ8hA/p7f6/6fLwjpBLXVfdIsMCvkQxQ//YA7P9Tglr1O0D8LjAXy/mbigGDBLXsHCF+OzTqLy2sVrwtVVY63wUbvoAVb0FkX1sgrCzfhlLd5KsBcGwVrPvEVtlEKaUuNTtmwfrPZLnPs2fePjcVDi6R5eY3lH+vMEfaG2KG9rfZglomE/w+SdrQGuxg6EdSPWvmKAlmBbaR11u+kf2EdIaiPAkxgbSzbTNGfvPrt7cdz1QCJ7bL7/ihpRC7SY5tFdRW2gi2GiGVuayK8uDYBji2BmI3yj6s96qq+DSElsPke5Vt12tnD40HyGQ9n2OrIGa9nE9usgSUj2+QSpIuvlIBst3NEN4djHby3VqNlO/77zsSYl7xplT46vkk5GVIRcjdc2X/wz+V++SJbTBrHIz6Cr4ZLJUs594j1cpGfwXT+kob4Hn3w7hZ5e9pLYeDe6AEoo+tgsb9T//9i/Jg3aeyfPUjld8flVJK1Wka1lJKKaWUUkoppZRSSimlLiVu/pBxHLISwaeBrDu5X+ZBrW2DtukxMvesDwXZsmytslWQaZs7e8tAtqkYml0vg9QAxQUwc7QMcBvsoGEvCUcZ7CTElR4jFbHSo+Hv/4P1X8Dgt+Tzzp4wdqaErZb8VwaxPUMgLx2KcsBglHAZQEmhzI/8I22kUg7DoqdhyLvSNuv4Bqkc03J45dejXgsYPFnCBysnQ/tbJWiglFKXksN/y+8YSHu/ptee+TOrP4DiPAlY1e9Q/r2Vk+V32isMBr9tuzcse1WCWkZ7uPFbcPKEH8bIb3HjgZCTJL/HRkeI7G1plWsGR3fo9gB0fQDc/GRfGXFw6C84/I+EjKzteK3qd5AQWauREuS1ykqQMO+BRRC1SkJiZRns5P7mFSKBKqO9tGpMi5aKV2lRUoFszUcS5u3xSMVQr9EOQjvJBFKxK/UoRK+RSl9H/pHA8NYZMvk3k9aL7W6RkHObMdBqFOz9TULDyQdgyYtQrxUM/wyWvyHVIH9/EIa8B38+LtUg/35J7n/Tr4XDS6W1Yc8nYOz38GV/uV5bZ0CnO8ufa5OBsG2mXO8zhbUOLJR2mV5h0Pam02+rlFKqTtKwllJKKaWUUkoppZRSSil1KfGNlLBW0l4I7yrr8i3hK1fLALrZLNW2QAaWc5JlubjMgLjBTtpS1WsJBxfLut5P295f+bYEtZy9Yfw8COlY8VwKcy3VRyZD2jH45U7Y9wfc8AE4e8nAflgXmHU7ZMZKKMDRXQbdMVBadcUa3so5Kee17w+prnX1I7LvRc9Ki0Vnr8qvSftxsOkrOLEVNk+vXkUapZSqK9KPwy8TJDTb5kYY8OqZP3Pob1t1pX4vlg8qJe2zvTd4sq2d4sElEvACGD5Fql1N7SlBrWbXS+Wp+B0SkApqI2EjkPaAg94A9wBpobhjloRpY9aWPycnL2jYUypbNRkIXqG29wqy5H6xc7a01S1bdcujPjS4BsK7QWhnae1n71T59y7IknDYjp8l+HR0uUyBraUlY6tREhg+lcEggTG/RtDxdvke0aul5e6eeRLG+vNxCWb1elrCVHYO0HqUhIW3fQ//vApJe+DPxySgtflrue8sekbue/PulYpbDa6RKpXzH5JQV9Nr5Xr2f0mqWC75r7Sd9Ai0nV9jS1jr4F/SFvF01bJiNsi8xbCKrS+VUkpdEoxn3kQppZRSSimllFJKKaWUUnVG6FUyP7bats46EJ+XLvPsJEvwyQg+EVBgqXZirWIF8h7IgHBxnoSogtvLuqwEWGsZ6B/2SeVBLQBHV+hwK0zaIIPbBjsZqP7iGojbKtuEdIJ7l8u8IFNCWQ5ulBuoN5vA6CBVWTzry7oFT0KnOySclnUCFj5d4fC272KArvfJ8r4/qt5OKaXqosXPyu90SGcJURnPMIR7dAXMuk1+OzuMh2bX2d4zlcDvD9mqJTYfIusLsuCPR2S5y31SkWn+w/K7G9IJvMOlkqGTl1TUilopv8sjp8KoaRLUOrYGpnSTUFLMWsAAoV2g74sw8R945ijc/IO0sfUKleBwzHqY9wC821SOd2wVYJZ72YD/g0nr4Ym9MPpLuOpuCG5XdVALwMlDWimO+xke2SbfxcEVEnfDH4/CO43hx7GwYarch4ryK9+Pnb2EgEd8Bk/uh+vekkpV2Ymw8CmY2st2HzPaSXjrwY0SqirOhz8flba7QW0k5LbpS+j/smy/5L8SWGt2vfw5/PmEXItuD0i1sYJMWPZa+fNp1E/aAqcesbUoroq1TaS17bFSSqlLjoa1lFJKKaWUUkoppZRSSqlLibU90pF/ZFAewL+pzBN3y7y0BWKIBK8AXP2hKM+2H1ORzPPSZG60t1Xy2PGztKUKvQpaDD3zOTk4S2WXu5eAd4Qcf/q1sP0ned+9Htw+Hxr0lFaMRjswlG3+YZDzMdhJ1TC3ejL4vfQlGPGFBMt2zpKqI1Vp1M92DQpzznzOSilVF6QckZaAGKS9nr3j6bff9wf8cKOEbBsPgOvfL//++s8hbrNUMhzyjm39mo8gK17aCw58BQ4tkUCWvTP0fQE2TpPtuj8olaYwwE0zoN3Nsn77jzDjBkg5JJW3+r4oIauJS6UqY2hnCUCB/AZv+hqmdJd7wY4f5bffr4lUl3p0J0z8W8JO9VqcvorU6fg0gCGT4fE9MOh1aWVYUiDVIhc9A1/2hf8Fw8cd4adxsOx12L/Qdt+zcvaUINXDW+H69+T7Je2FrweVv++4+cO4WdDmJksI63H5M3N0lxaInvUl+FaYDavfl+vv4ArH10vLR6OdVDoD2P4DJB8qfw7W+9je30//vd0CZG691yullLrkaFhLKaWUUkoppZRSSimllLqUhHaRdoB5adKmEKRSh9EBMuMg9agMigM4ukn4CaRqSmlYq8zAeJplsDc/XSqsgKXyCTIgfTaD6KGd4b5/pZpISSH8dj+sfEcqiji5wy0/S9WUgkzwql/mXMwyN1vCZ/kZgFGqdOUmQ9/nZf2Cp6quOOJeTyrCAGTEVf+clVKqNu39TeaN+0O95qffds88mH27/L42vwFu/rF8uCsrQdruAQx6DbxCZLkgC9Z/IcsDXwMHF1j3mbzuco8EwMwl0prv0BJZ3/U+aH69LB/fJNW6zCZpifjoDgloWSshWhUXwtpP4IPWsOAJOLkP7F2g/W0wYQk8tAl6PikVHy8kV1+4+mF4cAPcv0YCYY36g4uPnHPqETiwAP59B36+BSY3gh9ugiPLy+/H3hGumggPb5EWg6Yi+P1B2DXHto3RDoZ/Kq0ac5PhwGJp2QtSzav/S7K87QcJYFmrPq56V+ZhXeQ6m01yrcpqMUzmBxed/vuGWVogH1xsC20rpZS6pGhYSymllFJKKaWUUkoppZS6lNjZSzUVgMP/yNzRTQaArescLW0R8zMhN0WWXf1tYSiPQJk7uEBRtq2V0nFL+CszXuZ+jc7+/Fy8YexMuOYJeb38dVj7sSw7ucPYHyRslh4jVVAwS0Uta1tEO0epjGIdzF/wFFx1j1QcKc6DOROqbmtlbQdZpJW1lFKXiOh1Mm8y6PTbxW2FX++VkE/7W+Gm7yq2C1w/RcK6oV2gw+229XvmQWGWVLZqfoP8xkf9K+91vBP2/CrLLYZKVS6jvYSqrP7+P7l/tBopbRGdPSueX+YJqaK15EXISwWfhnDtm/DUAWk1GN713CtoVZfBAEGt5dzH/wrPRMGTB+D23+G6tyU05t9Uvsuhv+D7EXJPKcwtvx9XX7m+Xe+X1388BjkptvftnWz3uD3zpGUvQOxGqNcKfBvJfejQEuj2oNzX4rZA/A7Zrocl3LVzti0kDdBkoMzjd0JuatXfs8lAqf6VcRx2/3ouV0oppVQt07CWUkoppZRSSimllFJKKXWpadhb5lErbeusAa5DS6WKFkjLq2JLsMlolAF4kIFkkMF0AHdLWOvQXzK3VmopriIUdSZGIwx4GQa+Kq+XvgxRlmpd3mG29dmJ0g7RGiIz2kvFGIMR0qLAPRCyTkg1lJFTpfVT0l5Y+XblxzVYhj1MpnM7b6WUutjit8s8pFPV25jNsOBJ+X1sdj0M+0QqPJ1q/wKZX/2w/A5bHVgs83ZjZf2hJYAZQjpDzkkJDLn6ScgKoGEvqVYIkBEL0avl93XQG5UHrkwl8POtcGIrOHvL+T20GbpPknBubTEYJIwc2Qe63S+hsYc2ybl1uVeCwrvnwuzxco1P/ey1/4OgNhJ0235KG95Iy3345H65dtb7atIeaDZYlqP+BfcA2+vdc2Ue3l0qcxXnwZ7fbPt0r2fZj1nCXVVxcJFrC/DPK1I5TSml1CVFw1pKKaWUUrWkuLiYv//+m6lTp5KVJf9DfeLECbKzs2v5zJRSSimllFJK1XmN+so8drOtKkfTa2V+dAU4OINHfcAMeemyPvOEVNcC8Gkgc0c3mVurb+39HUqKwTdSXifuPb/z7PEodLxdzmPBE7Z2Te1vk2Pkp0NIB1lndABTsSzbO8vcyUPmG6bKYPQNH8rrtR/DyQMVj2dnCZmVFJzfeSul1MWQkyxhKQxQr0XV253cL0Eoe2cY+lHlQS2ArESZn7qvxN0yD79a5jHrZd6oLxy3LDe4Rqp3WZetrO12g9ra2iqeKma9nJ+jB9y7XH737eyr/j61zb8JDHkH7vxT2jQe/ltaCp7KaCdVzMBWAc3K1c+yYIbCbFtLyJxkCOkoy9Z7aMsRMt+/UOYGA7S9SZb3zCu/X2to78S203+HbpMkmJ1xHBY9e/ptlVJK1Tka1lJKKaWUqgXR0dG0adOG4cOH8+CDD3Ly5EkAJk+ezFNPPVXLZ6eUUkoppZRSqs7zDpd2VuYSW8WUei3Br7EElfb+bqv6kRol86S9traG1konKUfAzkkGe508pdLVkX8gwjKgb620dT4GvQ4uPpB80FLNBRnE73y3LBda/tGS2VINy85J2ngZHSDlMAS3B1MRrHgLWtwATQdLqOufVyseyy1A5pknzv+8lVKqpll/nz1DbOHZyqRFyzygmVRqqoo1TGUNZ1nlpcnc3dICN2mPzIPbQ8IuWa7fARIt64Pa2T6bEStz/yZVHzdH/m4Tnwa2sO+lIOJq6Dhelo8sr3wba7g5O7H8+rLVrBxcbRXHzGbwtnzGei9q3F8qk6Ucsl1Pa4Dr2Crbnw9AcFuZW/9cquLoBsOnAAap+rVh2um3V0opVadoWEsppZRSqhY8+uijdO7cmbS0NFxcXErXjxw5kn/++acWz0wppZRSSiml1CWjzRiZb/lG5gaDrQLI+s9tA8EHFkq7Q1OxrbJWapS0qspLhfCuss4rTOabvoLmN0h7qNhNtsH7c+XsBe3GyfLe38uc/42AAZL2gW9jWyvEkkLb58DWunH3HEiPgYGvyOf2/wnJh8ofK7CVzI9vOL9zVkqpi8EaAPIIOv121hBW8iHISal6uyaDZL79p/LrrZW4TEUyz4yXuXc4pB6VZb8mkHZMlv0b2z5bYAnUWisdVia0s9wzEnfBtplVb1cXWSsyYq78fes9yc6h/HrrtXILAHsnqagF4OoDTu6ybA0jO3tJZTKA4xtl7tcIAlrIvfnIMtt+g9rI/NTAXWUa9pSWwwCLnoGdv5z5M0oppeoEDWsppZRSStWC1atX8+KLL+Lo6FhufUREBHFxcbV0VkoppZRSSimlLikd75DqUzHrpPUhQKc7pQ1V4m5pbejTQFoN+jaU962Dy0f+gSYDZdnBUs0lLQowSPWr/EypYgWw6r3zP9cmA2Qevda2ziMQQq+S5XrNZe7sDZhl0D/XMvAdt1m2M5tg63dSWcba8nHHKYEEa1Bhz29QUnT+562UUjWpKE/mp6uqBRDYWkI8RbnwxyNgMlW+Xcc7ZH5oiS2EBbaKWtZKT8X5MndwtVV1cnS3tZC1BnsB7C1/f1mUX/X5eYVCj0dk+fcH4feHLo0Kh9knYcfPshzevfJt0mNkbm1zaGUNU9VrIe2DrdfbNxKKLdfR3sm2fVBrmScftK1r1E/mZe+N9Syh49Qo238fp9PjMeg8ATDDr/fAxi/P/BmllFK1TsNaSimllFK1wGQyUVJSUmF9bGwsHh6n+VdqSimllFJKKaWUlWewZYAWWPQsFBeCqy/0elLWLf0vXHWPLMdtlWBXwg4ZSC4plIF5kOpZvo0kBGAdTF77MfR8SpZ3z4XYLed3rsHtZZ4ebavSArZWjWZLRZOCTJk7ulq+Y6jMrUEDa2WuViNlXrYaCUirKfdAyEmS81ZKqbrMaBmqNVX8e8JyDAYY+pH8ju//ExY/a/vdLMu/MTTqD5jLV7jytbTAtQaFrOGwggzZJ9iqG4KtmhSAd4TMz1Tpqd9L0ONRWd72PXzUDubcLe0Fz/T9akNmPPwwWoLB/s2gxdDKt4uz3P+sISqrGEsFx5BOkLBTAnBOXtIC0RrcKhvwsgbg8jNt6+q3l3nSfts6N39LZUlz+cBdVQwGGPKeLbC18ClY8KQ8EyillKqzNKyllFJKKVULBg4cyIcfflj62mAwkJ2dzcsvv8yQIUNq78SUUkoppZRSSl1a+jwLrn5wch+selfWdXtQqrDkpkjFLf9mUl3Lz9LWytoO6+hKcPGRgeoG18g664D6jp9lwLjdLfL6z8ekcsi5cvWV84Tyg88hnWWeHi3nbDZJcKAgS9bnp8v85H4wGCVokBEH9TvK+uTD5Y9j5wBd75PlVe9XXX1GKaXqAsdT2uWdTkgnGPmFLG+cWnUFJevv9v4FtnXBlhZ81uCRb6TME/fYKi+ePGBrhxu31fbZhr2lHW3CTji2purzMxph4Ktw12IIv1oCX7vnwPcj4IPWsOS/5UNJtaUoX67d590hfge4+MLNP1ZscwhS2eqwJRTcsJdtvckkFSpB7p+HltqWjUZbkNh6jwPIOC5zVx/bOhdfmRdk2NYZDFIVEyAtunrfyWiE69+H/i8BBmlnPOMGyEqo3ueVUkpddBrWUkoppZSqBR988AErV66kZcuW5OfnM27cOBo0aEBcXBxvv/32We3r33//ZejQodSvXx+DwcBvv/12xs+sXLmSTp064ezsTGRkJF988cU5fhOllFJKKaWUUrXK1ReGWEJa/74LMeulZdWoaWDnBIeXQoSltdPJAzLgnnxIqqqkHYUgywB+Xrq0HkzaK1WwTEWw7jMZeHf2lkH6822HaK3OYm0pBeBtCQZkxdvaQXkEydze2RJgMEDKYfBvKuvjNoOTJeBQlFvxOFfdI1VJkg/Avvnnd85KKVWTHCxVBKvT7g6gzRgY+JosL/1v5a0GG/cHDBJytYZ1rC3+jq6UoJE1oLv3dwljgbSVtbaSXT/FVrnLPQA63CbLc+8+c7WniO4wYRHcuwI63SW/x1knpGLjlK4wfTDs++PiVtsymyWYtfRl+LCNVJ/KS5PWkhP/lopkldk5W4JUXmEQWiZ4dXyD3LccPSCih4TSAJoPgcIcacULtnbCBVlw6G9ZLttuMSdJ5s7e5Y/rHS7z9GqGtUBCXj2fhFt+lgpfxzfAtD7yvZVSStU5GtZSSimllKoF9evXZ/v27Tz99NPcd999dOjQgbfeeott27ZRr169s9pXTk4O7dq149NPP63W9lFRUQwZMoSePXuybds2nn/+eR555BHmztX2EEoppZRSSil1SWo9CtqOlRZWc+6G3FQIbAXXviHvb/sBGvQETLY2TA6WFlipUTI/uMjWktDacnDLtxLusobBVr4lA/3nysvS0jAjtsxKg8zMZls7KINl6MI6eO1hOR83y7kn7pF2UyCBrlM5e0IXS3WttZ+c+/kqpdRFU0lLw6pc/TCEdZPfwW0/VHzf1dfW0vbYapmHdwcnTwkHRa2UewYGOPy33C8c3CSU6xkq1Q2P/AObp9v2OeAVCGghAaWvBkLUv2c+z/odYOiH8NQhGDsTml0voeCYtTDrNvisq4Shaiq0VZQHB5fAgqfgo7YwtRes+VCugWeo3NvuWQF+jSr/fG4qLLfcR7s9YKtKCbYWky2HQcJuqfpo7wIthsH2HyXg5RsJDSzVuNZ+Kuv8mkjVMauY9TK3Bqet/JrIPGnv2X/vZtfBvculqmZWPHwz5PQV0ZRSStUKDWsppZRSStUSFxcX7rrrLj799FOmTJnCxIkTcXFxOev9DB48mNdff51Ro0ZVa/svvviC8PBwPvzwQ1q0aMHEiROZMGEC7777bpWfKSgoIDMzs9yklFJKKaWUUqoOGfKuDAxnxsJvD0j46aqJ0PwGqZKVEQsOLpCdIPOcJKnokhEj7ZZKCm0D5kdXQEBzqWq14QtoeyO0v1VaFM6+HZL2nds5WitmWSuJAKRZwmKeIbYgmdlUfm4NlhnsZX7ygLSxAnCoJKwF0OUeCRzEbZaBdKWUqous1QGtFbaqw2CAtjfJ8rFVlW9jDQlZ2/HZO1oCWsDKyXK/sO5jyYvQ8wlZXvUOdJ4gywufgl2WilEu3nD77xIqyk2G74bDP69BSdGZz9feCVoMhVt+hMd3S/UnZy9IOQS/3gOfXgVbZth+189HyhHYMBW+HwVvRcCPN8KmL6Wio72znMdN38Oj2+U+YWdf+X5KimHefZCdKMGpqyba3stNtVXS6ngHbLcGt4aDk4ccH6Dr/dKeMCtBqooB9HtB1oHccw8slOXG/csf31p96+BfUFxw9tfBrxFMXCpB7cJs+GEMnNh+9vtRSilVY2osrGUymTh48CCrV6/m33//LTcppZRSSl3p3nzzTaZPn15h/fTp08+6DeLZWrduHYMGDSq37tprr2Xz5s0UFVX+FyxvvvkmXl5epVNYWFiNnqNSSimllFJKqbPk7Ak3zpDWhwcXw6avZEB/2CdSKSstCup3lG0Nluog1hZXmfFSzSpqpQxKlxTYglPrP4ecFLj+PQi9CvLTYcZQiNty9ufoYPkHSmUHno9vkHn99pCfYdnulNCCtdKW2RImSz1SZp2p8mO514Om18qydVBdKaXqmrw0mbt4n93nrJUIE/fYfsvLajZY5vv+gHzLP7q85jGp/hSzFrZ8A4Nel9/6xN0Swo3sJ+GxXb9A86Hy+zr3blj1vhzDIxAm/AXtb5P3Vr0L06+DtGPVP2/P+tD/JXhsN/T7L7j4yG/6H4/A+y1g4TNSBaq48Mz7MpshLVoCZX8+Dh+1g086wqJnpDJYSYFU0Op0F9z8EzxzVCp8tRwGdg5V77cwV773oSUS8Br9pQTOrLZ8K1XNgtpAcDvYM0/Wtx8HsZslhObgJq8B1nwk1zWkM7QcYdtPzHrIOSnXoGGv8ucQ2Qc86ktYbNnr1biwlXD2glvnSJvLolwJWxdkn9u+lFJKXXA1EtZav349jRs3pkWLFvTq1Ys+ffqUTn379j3r/U2ZMoWGDRvi7OxMp06dWLWqipS4RUFBAS+88AIRERE4OTnRqFGjSgdDlVJKKaVqy9SpU2nevHmF9a1ateKLL76o0WMnJCQQGBhYbl1gYCDFxcUkJydX+pnnnnuOjIyM0un48eM1eo5KKaWUUkoppc5BcFsY+Kos//1/EsJy9YUbPpB1MevBO0KqbLjVg+I8cAuwhLN8ZZvMOJlHrwafhlCQCSv+J0GrcbOlqkrOSRmgXznZFgKojtxUmTu629ZZW3Q1uAYSdsmyW4DMreEue0eZWwMJ6cdtwYb8jKpbaLUeLfM9v1UeZlBKqdpWmCPzsr+L1VGvpVQPzE2WalKniugB/k3lN3y15R7gFSqVnQAWPSu/pWO+lna3u+eAb0MIbg95qdLm0Bos+ucVmDNBztXRFUZ8BmO+kTBQ3GZpL3hg0dmdv7Mn9HpKQluD3pBQVV4qbJwK3w6Bt8Lhy/4w9x5Y/LxU8frnVQlzzZkgrRjfjpD2hnPvlpaNacfku0RcI/fCSeulktfQD6H5EHB0O/05mc1w+B+Y1gf2/ibXd8w30s7RqijfVjmr2yQJOedngHuQVLHa97u813yIVNkqLoDtllaVfZ6VELVVzDqZR/atGB6zd4TBb8ny2o9h8zdnd32tHJzhpu/AKxzSo6VaplJKqTqhRsJa999/P507d2b37t2kpqaSlpZWOqWmpp7VvmbNmsVjjz3GCy+8wLZt2+jZsyeDBw8mJiamys/cdNNN/PPPP3z99dccOHCAn376qdLBUKWUUkqp2pKQkEBwcHCF9QEBAcTHx9f48Q1l/2IAMFv+0vrU9VZOTk54enqWm5RSSimllFJK1UFd7pUKWIXZUs0DoPn10HSwVKZyqyfr8lKlOlXOSRlQzkkGVz+pvuFk+X++giyZb/oaYjZIoOvOBdDsemmbuPwNeKcxTO0N394AX18L3wyBOXfDus/g5EFbSCo3VaqUgFQiAaleEr9DlsO729p1WY9vnTt6yNwa2spPl0okRgep7pJ5ovJr0WSQVJFJi4ITW8/5kiqlVI0xWtrwVaedYFkOLrZqTOs+qWS/Ruj/siyv/RhiLdUQuz0IzYZISPenm6Ud4rBP5b3NX0vgKLQLFGRIC77OE+Qc9/wqAanUo7Jt61Fw/2qpFpWfIfv664Wzb9nn5A5XPwSP7oBxv0irRlc/CRPHbYZds2H9Z1LFa9V7EubaPRdiN8pxjQ4Spur6gFTP+s8xuGsB9HgU6rUoH46qTEEWRK+FFW/D51fDzFGQfEDulePnSeiqrI1TpZ2wZyi0HgO7f5X1LYfJNT/4l7xufr3MjyyX8/SoD41OaXVorUhWr0Xl59ZyOPR6WpYXPAFHV1bnilbk4g19n5flHT+d2z6UUkpdcFU04j0/hw4dYs6cOTRu3Pi89/X+++9z9913M3Gi9AL+8MMP+euvv/j888958803K2y/ePFiVq5cydGjR/H1lX8J1KBBg/M+D6WUUkqpCyksLIw1a9bQsGHDcuvXrFlD/fr1a/TYQUFBJCQklFuXlJSEvb09fn5+NXpspZRSSimllFI1zGiE3v+BH8bIIPe1/5N1A1+R9ohxm6Qd4omtUpklaa+0TjTmQW6KBLcKMqX1U24yeIVBxnH4dSLcu1ICWzf/IIPl/74DJ/dD/PaK57F7Dvz1vAxo+0VC4l7L/sKh8QDZ5vh6MBWDZ4iEAeI2y/oCSztEa4jB+ZTwFkBRHvg0kHZTKYfBO6ziOTi5Q4sbpKXX1u8hpNOFuMJKKXXheIbI3BqCOhs9n5B2f1u+hcYD5feurObXQ6uR0qbvlzvhPstv+KhpUh0xcTf8eDNMXCqhpUVPS/Cr34sSiD30l+z76kdg+4+QtAem9YUx06Fxf/AOh7sWwZIXJcS07lMJKw16DZped+agVFl29tB0kEwmk/yuJ+2B9Bi5NxXly/4cXCXM5RUCfo2leljZFoVlFeZCRixkxkJWgkzZSZAVL1P6ccg6Jexr7wKd75KQlLXipFX8TlhuGZvu+5yEsPZaKmm1uRGSD0HyQbl3RVo6Te3/Q+YtbpB7cbnzs7QkdDrNP4rt+wJkxMGOH+HPx+DhrWd3Xa0aWc4n5YhUozTanf0+lFJKXVA1Etbq2rUrhw8fPu+wVmFhIVu2bOHZZ58tt37QoEGsXbu20s/Mnz+fzp07M3nyZL7//nvc3NwYNmwYr732Gi4uLpV+pqCggIICW9LbZDKRmpqKn59fldUllFJKKaXMZjNZWVnUr18f46n/s30GEydO5LHHHqOoqIh+/foB8M8///DMM8/w5JNP1sTplurevTt//PFHuXVLliyhc+fOODg4VPEppZRSSimllFKXjMg+lrBVCqQfk8opAc2g1QgZtHexDECfPChhqsxYaZkVvUYG7O0coTgfMEhQy8VXBsx/vhVumyOtpNqMkTaDKUdkcLooV9o4mYohLRqOrZIWh5mWgXKQgf1bZtkqZO2aK/NGfW0D3qFXwYltslxgabHo4Cpza3tEkCo0/k1sYS3rQPSpOt4uYa3dc+G6t6QllFJK1RUhHaXKYcohSI2SVoTV1eAaqZS1/jOYOxHu/BNCO9veNxhg6EdwYrtUGPxtEtzyk4Ryx82S4FXSHmktOOIzKMqRFrrLXocRn8tv7vaZsOZDuPphiF4nodqZo6WlX8+n5Pd8yGSI7A1/PCbf46ebIaA5tB8HLYbKPehsGI0Q0FSmMynKg8Q9ci9KOQypR2Q59ShkJ1bveO5BENYFmgyU83XxqbhN1L8w+3ap+NWoP7QbB7/dL6/rd5R716L/yLaN+kk1q6I82PenrGt+Q8V9Zln+MW1lx7MyGGDIO3LvTj0q99uAZtX7XmVlJ8nc0U3+e1NKKVXraiSs9fDDD/Pkk0+SkJBAmzZtKgz6tW3btlr7SU5OpqSkhMDAwHLrAwMDK1SDsDp69CirV6/G2dmZefPmkZyczKRJk0hNTWX69OmVfubNN9/klVdeqdY5KaWUUkqd6vjx44SGhp7VZ5555hlSU1OZNGkShYWFADg7O/Of//yH55577qz2lZ2dzeHDh0tfR0VFsX37dnx9fQkPD+e5554jLi6O7777DpCW1Z9++ilPPPEE99xzD+vWrePrr7/mp5+0DLZSSimllFJKXRbsHMA9ENKjISfFNlDe/WEZ8I1aCWFd4fgGaUmYGStBrTY3SrCppBAwAJYWhnnp0nIrZi3MGAY3fSdVTQwG8G8s06l6PgGFORC3RQak3QOl1aE1qHV0pVQKAegwHv58Qpbrd4TYTRISsLaIsrMMZbj5S8USU7Gco/V7na4iTcQ1UrkmM04CZE0Gnts1VUqpmuDqCw17w9HlsOkruPaNs/v8wFekbd/hv6Wi4oQl5UNOzl7ym/1Vfzi4CLbNhI7jwSsUbvwGZgyVQFarEXDN49ISd92nMP8RuPUXcK8Hq9+HtZ9Aq1FSyWrHj7DiTanWOOQ9CO0kVbwiesDqD6R17sn9sPQlmXwbQYMe0l4x9CoJ2p5NZafiQrmfpRyW6lWpRy2hrKO2MHBVHD3kfuVZX0JZ7vXAI0gmr3AJx51aQaus5MPSftF6vwrpBKO+hL9fgp2zJPg0+G2I2yptJAG6TZL5xmnSttc7XIJ1ZcXvlHswlA/YVclcjW1OY6v8vTANe51bZS6llFIXXI2EtUaPHg3AhAkTStcZDAbMZjMGg4GSkpKz2t+p1a2s+6mMyWTCYDDwww8/4OXlBUgrxTFjxvDZZ59VWl3rueee44knnih9nZGRQXh4OMePH8fT8zSlJ5VSSil1RcvMzCQsLAwPD4+z/qzBYODtt9/mv//9L/v27cPFxYUmTZrg5FRF2e7T2Lx5M3372v4FsfW55o477uDbb78lPj6emJiY0vcbNmzIwoULefzxx/nss8+oX78+H3/8cekznFJKKaWUUkqpy4B1INxUbFsX2kkGy2M3SnvD4xvg8FLoeAdsnQF7/5BqWbvnUn5g2CRtqRzdparKlG7Q4xH5nHu9qs/B0U0GhssymWDLN9Ii0WyCtmNl4D1pDzi4WYJiyID4wcVS1asoX9a5+knFsMJsqfzlHSHr02OoktEoAYJdsyFhp4a1lFJ1T/cHJay18Uu46u6zq0Rl5wA3zoDvhkk4duZomPg3eJQphBHcVlobLn0Jlv5XglWuvpbKXJMknLXwaZi0Hga+JuHWPfNg1m1w6xxpM7vgKdjzK/g0hB6PweZvpAriV/2k5WH3B6FBTwmP9XwCds2Bvb/BsTUSrEo9YgsM2btIYMuvsezbLUAqKBoM8nuflyoh34xYqQiWfhzMpxlbdvaSQJhfY/CzzH0byrm6+JxdOKmkSNoDH1stVbFiynR66nSn3Pdmj5eAM8DgyVKN8ocxcr9tOVwqPSbugRVvyTa9/1M+nJYWLZUqzSZoMUzOuSomEyx6Ru55Pg0lLHe2kg9LO0uArvef/eeVUkrViBoJa0VFRV2Q/fj7+2NnZ1ehilZSUlKFaltWwcHBhISElAa1AFq0aIHZbCY2NpYmTZpU+IyTk1OlA6Oenp4a1lJKKaXUGZ1P22R3d3euuuqq8zp+nz59MJur/tdV3377bYV1vXv3ZuvWred1XKWUUkoppZRSdZjZJPNTq5f0eBRm3QoHFkvVqejVMhjeeKAEt/bOl4BV1L9lPmSAkgIwlUglkowYaZO17A0Iag31WkmVFlc/af3k7G2pXhIsg/B2DpAVD0eWwfovIHGX7LbJdfLZ+Y/I66sfkoosAB71ZV6/PeSmyrKrnwzoF2ZL20WPIFl/plZXDpZ/xF1ccHbXUCmlLobGA6S6VtRK+PU+uHOBrQphdTi5w7jZ8PVACb/+NFb24ehm26bbg7BjlgRjl70GN3wg6/s8KwHdtChY+RYM+D8Y8YW00Y36F74bDtf9D26fD/Pule3WfAhh3eS39egKCdYeXCwhszY3SivBzhMkeJaXDtFr4fh6iN0sAa+iXAnPJuys/nd0cAO/SEsgq7Ecy7eRBJ1c/eS+kJ0klcFykyFxr7RtLMiUKo/FBZb7mEnuj2YTYJaAVVEe5GfIfSo9pnzIGQM0HQTNh8GRf6RCmdkk96Lr35P70/RrJUwV3A6GfSrhqJlj5HtG9pGWiVbxO+HHm+RYvpHSprIquanwxyOw7w+p4HX9e2dfFctshoVPgqkImgySdpVKKaXqhBoJa0VERFyQ/Tg6OtKpUyeWLl3KyJEjS9cvXbqU4cOHV/qZHj168Msvv5CdnY27uzsABw8exGg0nnV7IqWUUkqpmpKTk8Nbb73FP//8Q1JSEiaTqdz7R4+epoWDUkoppZRSSil1JgajzM3l/3+TZkNkQDl+h1QcsXeRAfluD4K9E+z/U177RpZpL2j5B0LmYglq+Vn+UXTKIUjYJdPZcPSQyi6xm+DQYlnXejTkZ8ogu1cY5KXI+rCusOMnWfYIAkdXyAEKc6UtItjCXJUxmWzBs4BmZ3eeSil1MRgMMOxj+KKXVD6c/5AEpozG6u/DzR9umwtfDZBA1Jy7YexMWxtZO3sYMhm+vV6qYrW5CSK6g5MHDHlHqmit/kAqN7UfB7fMgrkT4cACWPCktKi99n8Qs05CtcfXy369G8ixk/bKPWPl2zJ5hkLj/hL+jbgamg+R7U0l0uL25H5IjZIqXrkpEqgym8HB2RL4DZQQsE+E3I9cA+T+k3xQ2iEe3wg7Z0PGcciMh6KcC/fn4eQlrQnrt5d76MElMP9B2/vNr4ew7tIeMeWwrGsyCEZ/LeG1+Q9J+CugOYz5xvbnuO9P+PVeOdeAFjB+XuUtGE0lsP0H+PsVuScaHWDEFLmeZ2v7D3JO9s7SrlEppVSdUSNhLau9e/cSExNDYWFhufXDhg2r9j6eeOIJxo8fT+fOnenevTvTpk0jJiaG+++XMo3PPfcccXFxfPedlM4cN24cr732GnfddRevvPIKycnJPP3000yYMKHSFohKKaWUUrVh4sSJrFy5kvHjxxMcHHxe1bmUUkoppZRSSqkKrBVVCrLKrzcaYfA7Uglk/x/Q5V7YOA3Wfwad7oI+z8O/k2XQ3dFdqpWUZbCTkBbIIL9XmLSAwmypVmKWNlIFmVLlxNq6ymCEwFYyQJ2wE3b+LOtd/aD1GBm03z1X1vV/Gf58TJYbXAMrJ8uyT0Ows3TJKCmU1lcgg/xV2fOrVIJx9oIm157NFVRKqYvHpwGM+Rp+HAs7Z0l1pxGfS4i2unwj4ZafYcZQOLgIFjwOQz+2VWNqcA20v1UCPHMmwN1LpA1hi6HQ9QHY8Dn89gDEbYX+/5Ww18ZpUonrxFb45Q7wbyZtDjPj5fc1/ZhMIJWu7BwsIaxYaa+7dYa85xkCwe2hXgupjOUVKm1pnTxt95CiPMhPl3tHZpzchw4vhZMH5b5TUljhK5fj4CbBMTd/aaHr4i33MQcXOYadAxjtpeKkwV6ui8FoqUBpkPtXUa7cM6LXSiUtKzsnaffo5gcHFsH+BbLe1R/6vyT3t1/utH0m9Cq4+ScJY5UUwfL/wer35b3IPtK60sW7/PmbzVJFa/kbEmYDCXyNmCKtgc9W4l5Y+Iws93n27NprKqWUqnE1EtY6evQoI0eOZNeuXRgMhtK2PNZByJKS0/QVPsXYsWNJSUnh1VdfJT4+ntatW7Nw4cLS6l3x8fHExNj60bu7u7N06VIefvhhOnfujJ+fHzfddBOvv/76BfyGSimllFLnZ9GiRSxYsIAePXrU9qkopZRSSqlqmDJlCu+88w7x8fG0atWKDz/8kJ49e1a5fUFBAa+++iozZ84kISGB0NBQXnjhBSZMmHARz1opdUXzDJGKV6lRFd8L7wpXPwxrP4btP8HVj8jylm8kENXnOdj+I6QeAQyUVtbCIOErOycZ5C7IkmoqVfEIAd8G4OInVblObIOE2fKeozsEt4XkQ7BxqmX3dlK5Jf2YhMR8I2WduUQGxD2CbJXCDEYZeIfTD+Bv+ELm3SZJqzClVJ11xT9vNRkIo7+U6ku750JaNNz0HXiFVH8fYV1g9Fcw+3bY+p2lotJkW2Br8NvSjjD5AHw7RCpoBbaU3147B7kXbPoSdv0CV02UdoatR8Gaj2DLt/K5lW9LtadG/cCzPiTtk0pbqUds5+FWz9aeMDPONh1YcO7Xx85R2uu6+EgbQntHwCCVqEoKpWJVYQ6kH4eTByT8Za7+mHQFRnuI6CGBqbQoqTxp3Z97kFwf90DY8aNUHLN+psdj0PsZCdrFbYE/H5dqlgBd74dBr9vuX1ZRq2DpSxKKA/mOPZ+SQPXZtMS0StwL34+Ua9Kwl9znlVJK1Sk1EtZ69NFHadiwIX///TeRkZFs3LiRlJQUnnzySd59992z3t+kSZOYNGlSpe99++23FdY1b96cpUuXnvVxlFJKKaUuFh8fH3x9KylzrZRSSiml6pxZs2bx2GOPMWXKFHr06MHUqVMZPHgwe/fuJTw8vNLP3HTTTSQmJvL111/TuHFjkpKSKC4uvshnrpS6otXvAAcXQ9RK6Hpvxff7vyThqWOrJJg1eLK0wEqLkioqAS2hQU95H2yhKaM9lBTY9uPsLVVLDEbALG0Hi3IkyJUVJ1NZzt4SDDixQyqXgFRAaTUSOtwmx1v+P1nf+1k4tESWG1wjYYP8DHnt5F51q0er7CRptYhBqoYppeosfd6yaD1afhN/uRPiNsPUXnDjt9Cw6tBaBS2GwrBP4fcHpTJWYS4M/VACQk4e0n5vxg1SuerLvhLQ7fYADHpNAliL/iOhrFXvSjWoRv2h3c3Q41HY+zts+17CR4f+kuM5ukuLXVc/SI+GmPWQkySTlb2LVKWyc5RKU0V5UsWqON/2G260l4CTvbOEwQwGCWHlZ4GpUJbTo2W60BzdJQjmGwlBraVqZGoU7Jkn91GrsG7Qcri0X1w/BfJSbefe5kbo9bTsI3oNrP9cAl4g1R2HfiT3urLSjsFfL9i2c3CD7pMkUG2tHnm29v4Ovz0IhVlQr5VU8TLandu+lFJK1RiD2Vr26gLy9/dn2bJltG3bFi8vLzZu3EizZs1YtmwZTz75JNu2bbvQh7ygMjMz8fLyIiMjA09Pz9o+HaWUUkrVUefzzDBz5kx+//13ZsyYgauraw2dYc3R5yWllFJKVcfl8szQtWtXOnbsyOeff166rkWLFowYMYI333yzwvaLFy/m5ptv5ujRo+cc0L9crp1SqhYl7oHPr5aQ1aT1ENC04jZ56fDdcIjfLgPE170t4aq1n8ogL0jbqoRdEtSyd4JiS1DL1Q9yU7FV3aqE0V4qfLn6gbOnnMuJ7ZCXIu/X7yAhgJwkabuVtM9WtaTDeLj+ffi4vVRjGTMdmg6G/9WXYz59FHKT4bMuEgB7tpLB+4N/wY83SVWUBzec/TVU6hJwuTwz6PPWKVKjYPZ4+f012sPIqdBmzNntY9sPMP8hCUOFXy1tFj3ry3s5KfDrRDiyTF57hUlAqP04qVq1f4FUJoxeY9ufo4cEldrfAk5esHuOVADLOG7bxs5Rqnt5R0goKy1KvkNx/vldDwC3ALmneASDe4DcW1x8JNTk5GmZ3KUNsIOrpfqWk5yTwSjhL7NJJlMJYJb7ksEOshOkUmTMerkmZatGOntB25shojvs/lVaFVrvfZ4h0PF26HiHhM92z5U2limHLR82SNBtwCvgEWjbZ16aVCtbN0UC0AY76HwX9P4PuNc7t+tTmAN/PS8V0AAiroGx30srRqWUUuelJp4ZaqSyVklJCe7uUk7Y39+fEydO0KxZMyIiIjhw4EBNHFIppZRS6pLy3nvvceTIEQIDA2nQoAEODuVLX2/durWWzkwppZRSSpVVWFjIli1bePbZZ8utHzRoEGvXrq30M/Pnz6dz585MnjyZ77//Hjc3N4YNG8Zrr72Gi4tLpZ8pKCigoMBWqSYzM/PCfQml1JUpsBU0vU6qa/06Ee5cIBVVynLxhjvmw+w74Ohy+OMhqchy91+w9XtpTxi/XQbGC7OlWpaDqwxI51oCV54hMvhv7yyvTcWyXUYs5KdXXgXFKxzajYV9f0rllrL8m0L3h2Twe9NXEtRyC4Bm10slMMzSXsvNz1a1paqKIfE7ZR7U5tyuoVLqotDnrUr4NoS7l0p1rN1zpTWiq69UvqquDrfK7+ecCRCzVgK8170FbcfKb+htv0plxWWvSeBq0TPwz6sSCms3Tu4bqUdhx0+wYxZkxMD2mTJ5R0g1xLsWQlYi7P1NqkOlHYNjq4HVcg52jhKY9QqV6lqYoChfKjAW50NxoaWylgHs7GV7OwdLZS1LwArLZMDSAtdRwlaFufLaVCzLOSflmCWFUrmrIMs2FWbLvaso33LcAss2GbaKjWUZ7KBRX2h3i9yX/n1Hqp1ZNeonLQrDu0mAa9at0vLQysFNrmP3ByGgmW195gnY+CVs+lqODdCwt/y5BLas/p/tqZL2yb08+YBcqx6PQL//Vmy3qJRSqs6okbBW69at2blzJ5GRkXTt2pXJkyfj6OjItGnTiIyMrIlDKqWUUkpdUkaMGFHbp6CUUkoppaohOTmZkpISAgMDy60PDAwkISGh0s8cPXqU1atX4+zszLx580hOTmbSpEmkpqYyffr0Sj/z5ptv8sorr1zw81dKXeGufw+Ob5R2Vd8MgdFflR80BqkYcttcWDlZglP7/oAjy2WQ967FMPduGcR38pTKKxnHwWAP/o2lckhmnEyVcfQAn3A5hoOrrSpKyiEZ+LYev81NENlHKm15hYDZLOex5L+yTa+nwcEZDi+V1xFXy7woV+bWoNipDi6WeVjXc7p8SqmLQ5+3quDgAqO+kspaO2fBvAfgka1SOaq6mg6C+1bCnLvkXjDvPtgyAwa9DqGdJNDVehRsmwkbpsrv85ZvZfJtJGGlTndBn+fh+HoJd+35TUK4y9+QtrWN+0P7W+W+kR4DR/6Boyvh+AZpE5iwU6a6zN5F7mv1O0h4qlE/CRyvel+CcuYSwCBtKns+KSHltZ/Ar/fZQlcGO7mXtRkjwWdrQLogW+5HO2fD4b9tFSQDWkhL4maDLaG0c7RrDsx/WO6J7kEwaqqch1JKqTqtRtog/vXXX+Tk5DBq1CiOHj3KDTfcwP79+/Hz82PWrFn063cWqe9aUKfLniqllFKqzriSnxmu5O+ulFJKqeq7HJ4ZTpw4QUhICGvXrqV79+6l69944w2+//579u/fX+EzgwYNYtWqVSQkJODl5QXAr7/+ypgxY8jJyam02kNllR7CwsIu6WunlKojTmyDmaOlEpbBDtreBN0egOB2FbdN2AULnpQBdpAWhYPfgnn3S8UQe1cIbisD9iCVVRr3l8pbZrO0Tsw+KZVYEnfbwlRV6XSXDFQbDLB/oRwjLUoqhGTFyzZNroVbfpbKKx+1g8xYGP21DIYfXAI/3iiVs+5fXX7fh/6GH0ZLdZbHd4NH0PldR6XqKH3eugKet4ry4LOuEpAa+jF0uuPs91FSBGs/hpXvQHGerGs2RNru1W8vr81mOLZK2ifum2/7DTcYofEAuGoiNB4olan2zZeA17FVtmO4+ECrkdDmRgnJGoxyzvE74eQBqbqVGSctbPMz5HuZSmQ7e2cJNzl7yX5cfS0tDr2ltaG9s1RRNJVI5azCHFvFrMJcOSdTsZyHnaME3Zw8bJOju6U1orPsy95JXjt5gKu/HM9gkHvYkWVSzezQEkrbHTYdLPergOZSWezv/7NVmPRrLPeztjfZWhgW5UtAa/ccuR9ZrzlIS8ruk6RipNF49n+WZf9M//4/WPepvI7sI+E+94Bz36dSSqlKXTJtEK+99trS5cjISPbu3Utqaio+Pj4YzicZrJRSSil1GUlPT2fOnDkcOXKEp59+Gl9fX7Zu3UpgYCAhISG1fXpKKaWUUgrw9/fHzs6uQlWHpKSkCtUfrIKDgwkJCSkdOARo0aIFZrOZ2NhYmjRpUuEzTk5OODk5XdiTV0opkCoh962SENbBRZZ2Vj9J1ZABr0j4yiqojVTT2jId/npRqqP8fBvc8iMsfEZeH98olbCOLJNB+M2WCjbuQeDfBHwioMkgGdTHJAPfyQcg+RDkpsqge/2O0PkuGeBe8zGs+UhaYpXl4AZdJkLfF2Uwe9N0CWq5+kPzG2Sb1CMy944o/9mCLPjjUVnucq8GtZSq4/R56wwcXKD9OFjxJkSvObewlp2DVIRqOxaWvQE7f4YDC2VqPBB6PSUt/Rr2kqngXdg7XyppRa+W4NKhJVJt6+qHpE1iu5sh5Yhss/1HyDoh94TN0+W3unF/iOgh4eBG/eT3vyqFuZCdCFkJEtbNTpJQV3aihHhLCgED2DtK8MrRXcJcvg0l0OXsKcErBzcJYtk5yPZmE5iKbG0PC3NkykqUylm5qZCdIBXBTh6UVo9lNR4IvZ+BsC4SaP52CMSsk/f8m1oqY5UJXaUelQpl23+yVdwC8GkoVbna3SIVvM5XRizMudsWnr7mcalsVlVbYKWUUnVOjYS1KuPr63uxDqWUUkopVeft3LmTAQMG4OXlxbFjx7jnnnvw9fVl3rx5REdH891339X2KSqllFJKKcDR0ZFOnTqxdOlSRo4cWbp+6dKlDB8+vNLP9OjRg19++YXs7Gzc3WVQ6uDBgxiNRkJDQy/KeSulVDleITDuZ6lcte4zaWF1ZBkcXQHdJkG/FyUMADLgfNVEqYryw00StJo5GsbPk1aJO36CXbOl6lZoZzj8D5zYKoPd2Qnlq6xYuQVIMCuko1QdsXOC9Z/LwH/OSdkmoIW06/JrAr6REjJzdJX3jq6o2BIRJDgGEjIra83HEuzyjoB+L1zAC6mUqgn6vFUNbpZqSQXZ57cfr1AY+bmEe/6dLBWkDi+VqUFP6PMcNOghwacOt8qUckQCWFu/l5Dsn4/Direhx6PQ6U7o/1/o+zxE/Sut/vYvkKDVzlkyWTl5gYu35X5jkBBVYY6lytYZKjFeNAYIbA1Nr5Uwmn8TCWn9ei/s+kXCXw5u8n273mcJhQHpxyVMt+Mn2QbAMxTajJaQVlDb82t1WNbe+dL2MD9dWhQP/wxaDrsw+1ZKKXXRXLA2iKNGjeLbb7/F09OTUaNGnXbbX3/99UIcssZcDiVjlVJKKVXzzueZYcCAAXTs2JHJkyfj4eHBjh07iIyMZO3atYwbN45jx47VzElfIPq8pJRSSqnquFyeGWbNmsX48eP54osv6N69O9OmTePLL79kz549RERE8NxzzxEXF1cauM/OzqZFixZ069aNV155heTkZCZOnEjv3r358ssvq3XMy+XaKaXqqLRj8PcrsMfyd/X+TWH0VxVbI6ZFw3fDZHvvcLhtngSs/n5ZqpwYHaTtU5sbpZ1UWpR8Ju2YLKcelaoop+MVDgNelsHssgPZhbkQtVIGvvfOB8xS4WTcLKkckp8J77eU1osTlkB4V/mcqQTebSpBgRtnQKsRF+SSKVVXXS7PDPq8dQb/vAqr3oPOE+CGDy7cflOPwuoPpTKWqUjWRfaV3+X6HcpvW5ANW7+T0G9mrKxz9Ydu90OnCeDmJ+tKiqT61JHlELsJEvdAXuqZz8XeBTwCpVKjR5AE1Fy8wdFN7jeYLRWycqWCYn4G5KVLaCk/U9YV5UBxoXwXs0laLBodbG0PHV1lf6UtF33BPVBCzX6NJahltIMT2+HYajiwQMJaVq1GwqDXJfRmvSZrPoS1n0grRpCWkd0egMh+59fm8FSFObD4Odg6Q17X7wBjpkvAWSmlVI2q020Qvby8Slscli05qtSpioqKSE9PJyBAeyYrpZS6cm3atImpU6dWWB8SElKh5LtSSimllKpdY8eOJSUlhVdffZX4+Hhat27NwoULiYiQtlvx8fHExNhapri7u7N06VIefvhhOnfujJ+fHzfddBOvv/56bX0FpZQqz6cB3PiNVA2Z/wgkH4Qv+8vgfLcHbYPLPhFw5wKYMVQG9KcPkgDUfatg8X+k4tX2H2RyD5RqW5G9pV2Xd5jsIz8TUg7L59NjIDdFBvJdfSGkE0T2sVUmAUjaD6vehX1/QnGebX2H8TDkXVuLp5VvS1DLvymEXmXbLnG3BLWcvGztEpVSdZ4+b52BNfjqWf/C7tc3EoZ9LFULV38gQaCjy2Hacgkm9XkeAprKtk7u0H2SVF/c8SOsel/a4S57HVa+I+HY1mPkPmBtp2iVnyEtDvMzJNRkNoPRXoJTzp4S+nLyqFh9ymSS3/Sck7YKXKYSCWHZOUoAy9lTWiG6eEso63RKiuQ+lJ1kmRIgMx5ObIM98yDlaMVWiEZ7uZ9c8zjUby/rivIkuLbqPdufTcQ1MPBVCO10bn8WpxO7GebdJ/dTDNDjEWkTbO944Y+llFLqorhglbUuJ5dUkv4S9OKLL7Jq1Sq++eYbIiM17a2UUurSdT7PDIGBgSxevJgOHTqUq6y1ZMkS7r77bo4fP15DZ31h6POSUkoppapDnxnOnV47pdRFk5MCfzwC+/+U1436wYgvpLqJVVYi/HgjxO8ADHD1Q9D7WUjaK62x9v0pwamyPEOkTWJQWwhsJaEq7wiwq+LfkJcUSVBg5dtgKpZ1XmHQbAh0ukP2AVBSLK2mVr0rr2/5GZoNtu1n+0/w2/3SzuvOP8/78ihV1+kzw7m7pK7dwqdh4zS4+hEY9FrNHSftGCz/n7QzxAwYpMVel/sg4uryYaqSYqnQuO5Ty/3BwsENwrtBWBf57faNBI9gCVSVrTRlNku1qNxkCXJlxEqoN91aofGYrLPeE6rD3kUqZjm6SZjLYJDPF+VJ2Ksgs3r78QyRdsCN+kHz6yVgbL0+W7+HLd/KeQP4NJSQVouhF67VoVVRntzz1n4ilcI86sPILyQQp5RS6qKpiWeGGglr5eXlYTabcXWVfvLR0dHMmzePli1bMmjQoAt9uAvukno4uwT16iVJ+jFjxvDII4/U8tkopZRS5+58nhnuvfdeTp48yezZs/H19WXnzp3Y2dkxYsQIevXqxYcfflgzJ32B6POSUkoppapDnxnOnV47pdRFZTbLwPPi56SalVsAjPgcmgy0bVOYCwufkipaAG714JrHoOPtMiAesw6OLJO2USe2g7mk4nGM9hLA8gqVgXu3AKnUkp8Jh/6S6lsgAa1eT0H9jraBb1MJ7P1dwlwn98u6Ps9Dn/+UP8a/70iVl/a3wYjPLuBFUqpu0meGc3dJXTtrENWvMTy46cK216tMwi5Y8ZYtyAvSDrflcGhyrQSZrFWdzGaI2wI7foZ9f0i1qkoZpBKW0V7uEUV5ld8rKvucq6+EvRxcJfRrNkm7w8IcCWAVZMq6ajGAm79UhPSwtFz0DJHv5xsp4WI3f9vm6cdh/wK5B8Wsta33CodrHoUOt9dMhauof6X6ZVqUvG5zEwx+2xYcU0opddHU6TaIZQ0fPpxRo0Zx//33k56eTpcuXXB0dCQ5OZn333+fBx54oCYOqy4xWtRNKaXUlezdd99lyJAh1KtXj7y8PHr37k1CQgLdu3fnjTfeqO3TU0oppZRSSil1JTEYoPNdEN4d5kyApD3wwxjo+gAM+D9wcAZHVxgxBVoMg8XPyuDxX8/LYH67m6Hz3VJZBKAgG05slbZSCbsgaZ+0birOl89ZB55P5eIL170F7cba1hXlSfWu9V/YWlO5+MKQd6DNmIr7yLKEBDyCLtjlUUqpWtf8emnvmnIYdv4s7WZrUlAbuPkHSNwLGz6H3b9K1au1n8jk4AYR3SGiBzS4BoLbSzXFwZOlHW3MOrkHJO2TSll5aYAZinIqHsveGdzrgWeotND1jpB2vT4NpB2ve1DVVRmtTCYoyIC8dAluFeZCSYEEyewcLBW3POX+4eJta6lbmZwU2L8QolbC0ZVwcl+ZNw1S1arTndB86JnP61yYSmDpS1KxDKSa1g3vl68iqZRS6pJXI2GtrVu38sEHHwAwZ84cgoKC2LZtG3PnzuWll17SsJZSSimlrnienp6sXr2aZcuWsXXrVkwmEx07dmTAgAG1fWpKKaWUUkoppa5U9ZrDPctkkHjjVBmgP7oCRn8FQa1lm2bXSVuoHT/KgH3KYWnNtXEahF8NXe+TUEHDXjJZmUyQdQLSoiEzDrLiITdFqqI4uEi7xGZDpNKWVcwGmHs3ZByX1y6+0OVe6PaADLZXJuWIzL3DLvTVUUqp2uPsCT0fh7//T4KyET0kyFTTAlvCsE/gurfh0BI4sAgO/y0tAA//LRNI4Cqkk7Q/DL1KKnB1vc+2n+ICCWwV5cr9wGi0BagcXM+/faDRCC4+MlWHyQQ5SdJmMe0YJB+ExD0Qv9MWDLYyGCGsG7S4AVqOAK+Q8zvX0zGbYd79sGu2vO50lwShnet45TellFJnrUbCWrm5uXh4eACwZMkSRo0ahdFopFu3bkRHR9fEIZVSSimlLhnFxcU4Ozuzfft2+vXrR79+/Wr7lJRSSimllFJKKeHgDEMmQ+MB8PskqSjyZV+49n9w1UQZULd3lKoiHW6Ho8ul8tWBRdIeKmattDjsMB7a3AgBTWW/RqO0P/QKrd55RP0LM8dIZRTPUOj9NLQdK8GuquSmSjUXgJDO53UZlFKqzun2oLTiO7ENZo6G2+ZenMAWSHXFViNkMpmkAuOx1TJFr4W8VIheI5OVR30Ibgf1WoB/E2kx6NNA2uiero1jYQ5knpBKXhnHJVCVGS/tFXNTpHWutYWiwSiVsxzcwNFNAr+O7hIes3OU45hKpLJjQZYExrJPSmDYVFT1Ofg3lUBcZG9o2PvitR7cOUuCWkYHGDUNWo+6OMdVSil10dVIWKtx48b89ttvjBw5kr/++ovHH38cgKSkpLrf81nVqKIi24NPcXFxLZ6JUkopVXvs7e2JiIigpKSktk9FKaWUUkoppZSqXNNB8MA6+P1BOPQXLHxKglBDP7ZVvzIaoXF/mTJPSGhrywwZBP93skw+DSCsq1RaiewL/o3PfOyMWJg1XoJaTQdLZa+yFbcqk5sKc+6SAfnANhDY6rwvgVJK1Sn2jjD2B/h6IKQcgi+ugZ5PSjjWza/yz+SkQOwmaUVotJMQUuhVpw++nonRKG0Sg9pIpUOzGZIPyT3i+EaI2yyVqrJOyHRw0SmftwdXP3DylICwwQ5KiqAwC3LTZH4xGIwSLvaOAL9GEioLaivfq6rqjTVtraX1Ye//aFBLKaUuczUS1nrppZcYN24cjz/+OP3796d79+6AVNnq0KFDTRxSXSKioqJKl9PS0mrxTJRSSqna9eKLL/Lcc88xc+ZMfH0v0r/MUkoppZRSSimlzoZ7AIybBeunSGvE3XOlTdSN38qgdlme9aHfi9DrGdg3H3b8LFW30o7JtHOWbBfQAjrcCu1vrbxSickkAbH8dKjfUY7l4Hz68zy4RKqA5ZyUdlrDPjr/llpKKVUXeYXAxL9h9u0Swvr7ZfjnFfm9DGguISOzWdoUJuyCpL0V9+HoDq1HQ88nJFB7vgwGqaIY0BQ63SHrCrIhYaecw8n90jI3NUra4JqKITtRpqo4uoNXmLS09QqVe4xHMLj6W1onukjoy2yC4kJpr1iYA4XZUkGrOF8CYGaThNTsnWWfLt7gFgAeQbI/O4fz//4XStwWSNwlFcG6TKzts1FKKVXDDGaz2VwTO05ISCA+Pp527dphtJSy3LhxI56enjRv3rwmDnnBZGZm4uXlRUZGhlYCu4CKi4t57rnn2LBhAwB2dnZ8/PHHtGnTppbPTCmlLm9msxmTyYSdnV1tn8pl53yeGTp06MDhw4cpKioiIiICNze3cu9v3br1Qp7qBafPS0oppZSqDn1mOHd67ZRSdU7Meph9h7ShsneG/i9Bl/vA7jT/Jjw/01JlZQtEr4bodba2U/Yu0GYMdLwDQjvbwlX/vgvLXpNj3L/mzJW4jq6E70dKO6yA5tI2KrjdhfnOSl0C9Jnh3F3S185UAtt/hE1fQvyO028b0FwqapmKpYViVryst3OEnk9Br6ck0HQxlBRBdpKEyfIzobgAMEvwytENXHzAvZ5U3bqSQrfFhfDdcGkl3PZmGDW1ts9IKaVUGTXxzFBjYa2yMjMzWbZsGc2aNaNFixZn/kAtu6Qfzuqo4uJiXnnlFVauXFluvaurK++8844GtpRSqgY988wzxMTEMGPGDJycnGr7dC4r5/PM8Morr5z2/Zdffvl8Tq3G6fOSUkoppapDnxnOnV47pVSdlH0SfrsfDv8tr+u1ggEvQ5NB1RtUz0uHPfNg89dSbcXK1V+CBHmpUoEFYMi70OWeM+/zi2tkX63HwIjPpU2YUlcQfWY4d5fNtUuLlipbqVFQkAEYpM2gXyMI6yZVEq3MZoheK21qj66QdU2uhZu+O3MVQ1UzcpJh3v1weKlUh5y07sJUPFNKKXXBXDJhrZtuuolevXrx0EMPkZeXR7t27Th27Bhms5mff/6Z0aNHX+hDXlCXzcNZHfLRRx8xd+5czBgwIP/JlbgHYpediLu7O9988w2BgYG1fJZKKXX5MZvN9O7dG4D333+fzp071/IZXV6u5GeGK/m7K6WUUqr69Jnh3Om1U0rVWWYzbPkW/v4/aVUIEHqVVNpq2Kv6+4hZD1u+gX1/QlGO7T07R+j7PPR47MwBsMx4eL85GIzw9JHK2yoqdZnTZ4Zzd0VfO7MZds6GPx6F4jxpTTtiSm2f1aXBbJa2i8UFUgXSweXcqoBlnoAtM6TVcEGm7GvsTGgy8MKfs1JKqfNSE88Mp6lPfO7+/fdfXnjhBQDmzZuH2WwmPT2dGTNm8Prrr9f5sJa6cPLz85kzZw5z584FoKBRX5yPLJP3mgzA+eASsrNP8vzzz/Pcc8/RuPEZSlorpZQ6K7m5uaXLJSUltXgmqjLp6enMmTOHI0eO8PTTT+Pr68vWrVsJDAwkJCSktk9PKaWUUkoppZSqyGCAzndBy+Gw5kPYME0quswYCs1vgMGTwesM/09rMEBEd5mKCyB+J2QclwHvsK7VD11Zq3D5NdagllJKnQ2DAdqNlZaDM0fB9h+g5QhoOqi2z6xuyUuDuK3SPjJhF5w8AOkx5UPGLj4Q2FruXw16SIDZyaPivgpz5H4XsxYOL4PoNWApcEFQGxg+BYLbXpSvpZRSqvbVSFgrIyMDX1/5H6PFixczevRoXF1duf7663n66adr4pCqDklLS2PHjh1s2LCBf//9l6ysLAAKg9tQ4hNm29DOnoLGfXDZM59Dhw4xYcIEWrduTc+ePenYsSONGjXC3r5G/hNVSqkrxvLly0uX161bR9euXWvxbFRZO3fuZMCAAXh5eXHs2DHuuecefH19mTdvHtHR0Xz33Xe1fYpKKaWUUkoppVTVXH1h4KvQ7UH49x3YPB32/wlHlkO/F+Cqe6rXktDeCcKukulsZcXL3FP/wZNSSp2TRn2h2yRY9yksfArCV4NzHaoylpMMSXsh5QikR0s1qtwUKMqXwJmTJ3gESWg3qA2EdAJH13M/Xm4qHFsFx9bAsdWQtOfMn8lLs3xmFax6FzDIfcm9nlSLLM6TNsJZ8ZSGs6zCr4YuE6HlSDAaz/28lVJKXXJqJAkTFhbGunXr8PX1ZfHixfz888+AhHicnbXf8eUkPT2dQ4cOcejQIQ4cOMCBAwc4ceJEuW1MTu4UhXSk2L8JmIrLvWd29iKv9QgcYzZhlxrF7t272b17NwDOzs40bdqU5s2b06RJE5o0aUJ4eLgGuJRSqpqysrKYMWNG6ev58+czcuRIIiIiavGslNUTTzzBnXfeyeTJk/HwsP1Lq8GDBzNu3LhaPDOllFJKKaWUUuoseATC9e9C5wnw52NwfAP89Txs/BK6PQBtbqxY9cpkkpZPjm5g53Dux04+JHPv8HPfh1JKXen6PAt750sY6pc74eYfpNJhdZUUS6gpfgekHJYWtXlpUJwPZpO0qrV3AgdX+d13dJNlBxcJMxntZLuifCjIgpwkyIiVgFZu8tl9FzsnCO8KDXtDo34Q1BbsqhhXNJshKwHiNkP0OoheLZWvTg1U+TSQEFhwO6jXEnwayr3P3kUqbKUdk8pb0esgei1kxEBmrEyncg+C0M5yfk2vBR/9u3qllLpS1Ujq5bHHHuPWW2/F3d2diIgI+vTpA0h7xDZt2pz1/qZMmcI777xDfHw8rVq14sMPP6Rnz56VbrtixQr69u1bYf2+ffto3rz5WR9bieLiYmJjYzly5AiHDx/m8OHDHDlyhOTkig9JZsDs4kOJZ32KfSIweQbJg1gVzE4eFDTph6EwB7vUY9hlxGKXlUB+fj47d+5k586dpds6OjrSsGFDGjVqROPGjWnUqBGNGjW68nqJK6XUaZSUlLBkyRK+/PLLcr/TxcXF3HvvvYwfP57Ro0fj4nIW/8OtLrhNmzYxderUCutDQkJISEiohTNSSimllFJKKaXOQ2BLuGsxbPsOlr0OaVGw6BlY/Ky0h/JrBBhkfdI+GcQ3GCGgOTQZCB3Gg3+T6h+vKA/2zJPlsC418pWUUuqK4OQBN34LM26AI//Al/3hhvchvFvVn8lLgwOL4cACOPovFGTU0MkZJCzl11jmXqHg5i9hL7MJ8jMgM07aE8ZthawTEPWvTMtek+38m8rnnL0koFWQCdmJkHpUqnSdKqAFNLhGWhpGXAPuAVWfnp2XhLiC20GnO2VdTjKkRknQrKQQ7J3B1V+CWW7+NXCNlFJKXYpqJKw1adIkunTpwvHjxxk4cCBGS9nGyMhIXn/99bPa16xZs3jssceYMmUKPXr0YOrUqQwePJi9e/cSHl71v5Y5cOBAuQBPQMBpbqSqlMlkIiEhgejoaI4dO8bRo0eJiori2LFjFBYWVv4ZJ09Mbn6Y3PwpcfPD5BYgCfmyzCYMhTmSrrcwFGSDnT1mRzcwGDE7ulEc1IrioFZgNmPIS8cu5yTGnGSMuSkYc1IpLCwsreBVVkBAAJGRkURGRtKgQQMiIiJo0KABrq7nUepUKaUuMQkJCaxYsYLff/+duLg4AMxuZgw5Bln2M5OXkse0adOYPXs2Q4cOpV+/fkRGRmIwGGrz1K9Izs7OZGZmVlh/4MABfW5RSimllFJKKXVpMhplsLr1GNj+owS3EnZBwk6ZTmU2SXurpL2w5iMZFO/2ADS9rupKKABp0TDvPgl+uQdCy+E19pWUUuqKENoJbpsLs2+XKlnTr4XQq6DJtVCvhVTDyk+XsG30WpnMJbbPO3lC/Q4SwPUKARdfqZxlMMpvfXEBFOVCYY5MRbkSui0pkACVwSBVsZw9JdjkWR98IyXE6+hWve9gNkvFxaMr4OhyaWNYkAnx22WqjDU0HN5NWhI2uAY8g8/vWrr5ayhLKaXUGRnMZrP5zJvVnq5du9KxY0c+//zz0nUtWrRgxIgRvPnmmxW2t1bWSktLw9vb+5yOmZmZiZeXFxkZGZdtxaasrCyOHz9OTExM6TwmJoa4uLgqQ1lmoz0mV98KE3aOZzyeoSAL1+2zKn0vt/1YzE4elb5X/gTMGAqyJLiVm2qZUjAWZFf5EX9/f8LCwggPDycsLKx0OSgoCDs7uzMfUyml6qiioiJiYmI4ePAgu3fvZvv27Rw/frz0fbOjGXMzM+aGZuzmy+9dyYgSDCcMGPYYSgNcIL+V7du3p02bNjRr1oyGDRtq1a1qOp9nhnvvvZeTJ08ye/ZsfH192blzJ3Z2dowYMYJevXrx4Ycf1sxJXyBXwvOSUkoppc6fPjOcO712SqnLRkastIfKiJWBdK8QqbTlFQq5qRCzDnb8DIeXyoA+gEd9aDMGGvWV1lPWaigph2HrDNj4FRTngaMH3PoLRHSv3e+oVC3SZ4Zzp9euElmJsPwN2P4DmIpPv229ltD8Bmh2HQS3l3aGdYmpRO4byYcgK15aLIJUEnMPlEpXfk3AUQs/KKWUOr2aeGaokbDWhAkTTvv+9OnTq7WfwsJCXF1d+eWXXxg5cmTp+kcffZTt27ezcuXKCp+xhrUaNGhAfn4+LVu25MUXX6y0NaJVQUEBBQUFpa8zMzMJCwu75B/OzGYzJ0+e5NixY0RHRxMdHV0aykpNTa36cwY7zM6emFy8JZDl4oPJ1VcCVedYeeWChLWqUlyIMS8VY24axjyZDHnpGIvyqvyIg4MDoaGhREREEB4eXlqJKzw8HCcnpyo/p5RSF1NOTg4JCQkkJCQQHx9PfHw8cXFxxMbGEhcXR0lJSfkPGKR6ljncjDnCLPUzi8FuniWsNbJE1pmAE2A8ZoREMJjK/7YbDAYCAwMJCwsjJCSE4ODg0ikwMBAvLy+txGVxPg9nmZmZDBkyhD179pCVlUX9+vVJSEige/fuLFy4EDe3av6LsVqif5mllFJKqerQZ4Zzp9dOKXXFyYiDjVNh2w/SOqosR3cZdC8u83e+EdfAsI8t7RWVunLpM8O502t3GlkJsO8PiFkv7QKL8qTqlV9jCdE26iuVr5RSSqkrQE08M9RIG8S0tLRyr4uKiti9ezfp6en069ev2vtJTk6mpKSEwMDAcusDAwNJSEio9DPBwcFMmzaNTp06UVBQwPfff0///v1ZsWIFvXr1qvQzb775Jq+88kq1z6uuKSgoID4+vjSIFRMTUxrOys3NrfJzJgdXzM5emFy8MDl7YXbxlrmTu5T9vFTYO2LyCMLkEVR+fXEBxvwMjHnpGPIzMOZlYMzPwJCfSVFREVFRUURFRZX7iMFgIDg4mIiIiNIgl7Uil4+Pj4YTlFIXTElJCSkpKZw8eZKkpCQSExNJTEwkISGhdJ6dXXXlQACzvRm8wexrxhxgBn/AWuzQBOQAZf/xUw5y53cBQsEUaoISIAUMJw0YUg2QBhRQGhLbtGlTheO6uLhQr149goKCCAwMJCgoiHr16pVOAQEBODg4nPc1utx5enqyevVqli1bxtatWzGZTHTs2JEBAwbU9qkppZRSSimllFIXn1cIDHwV+r4ABxbBwcVwbA1kxECh5e9IjA7QsCd0vR+aDDrnf1yslFLqDDyCoMs9MimllFLqgquRsNa8efMqrDOZTEyaNInIyLNPWZ8akDGbzVWGZpo1a0azZs1KX3fv3p3jx4/z7rvvVhnWeu6553jiiSdKX1sra9UlJpOJhISE0upYsbGxpVNSUhJVFUgzGwyYnSxVsly8MTvL3OTsBfZnbl94SbN3wuReD5N7vfLrzSYMBdkS3MpLx5iXjjFf5hQXcOLECU6cOMG6devKfczV1ZXQ0FBCQkIIDQ0tbanYoEEDXF21RKpSSuTn55ORkUFaWhppaWmkpqaSmppKSkoKycnJpKSkkJSURGpqasXKWJUwO5rBDXAFs5ssmz3M4IGErqr6O8k8sFtYvuy03RJLha0hJbJPADugHpjrmTFjuZfkA1lgyDZANpADhlyDzPMN5OXllYaCq+Lr60tAQAD+/v74+fnh5+eHr68vvr6++Pj44Ovri5eXF66urldUENbX15eDBw/i7+/PhAkT+Oijj+jXr99ZhdmVUkoppZRSSqnLmr0TtBohE0B+JuSclH9g7Bly+f+9tlJKKaWUUuqyVyNhrcoYjUYef/xx+vTpwzPPPFOtz/j7+2NnZ1ehilZSUlKFalun061bN2bOnFnl+05OTnWu9Z3ZbObQoUOsXr2aHTt2cODAgdNWyTIbHTC5eFkqZVkDWd6YnT3rXo/o2mYwYnb2pMTZE7zLhPLMZijOl/BWXlq5ilyGwmxyc3M5ePAgBw8eLL87g4GQkBDatGlD586d6dGjh4a3lLqMmM1msrOzSU5O5uTJk6SmppaGsNLT00lPTycjI6N0OT8/v/r7NpglcOUCZlczuCJhrDLLF+9OXYazTOYAWxC4NMhVAuTKZA1wlS7nAnnSVtEaUjtw4MBpD+Xg4IC3tzfe3t54eXmVLvv6+uLt7Y2fnx/+/v74+/vj7e19yQe7CgsLyczMxN/fnxkzZvD222/j4XEerYCVUkoppZRSSqnLnbOnTEoppZRSSil1mbioQ8BHjhyhuLj4zBtaODo60qlTJ5YuXcrIkSNL1y9dupThw4dXez/btm0jODj4rM61NqWmpvLyyy+zY8eOcuvNBqMtjOXsKcvOnpYqWc6XTMnnoUOHMnbsWGbNmsWff/6JoTAXs1MdGKg2GMDBBZODCybPU/57MRVjyM/CWJApAa78TAlx5adjLMorrXK2aNEinJ2defTRR7n++utr53sopc5KcXExKSkppW0IT21HmJiYSF5e3lnt02w0gxMyOYPZ2SwBKBfLsqss40zVlbHqKjukqpdHmQAXZZbNQAGQJ5MhzyCVuvKkKhcFyOsCMJQYKCoq4uTJk5w8efKMh3Z0dCQgIKBc+8XAwMDSKSAgAEfHuv2va7t3786IESPo1KkTZrOZRx55BBcXl0q3nT59+kU+O6WUUkoppZRSSimllFJKKaVUTauRsFbZloIgVUni4+NZsGABd9xxx1nva/z48XTu3Jnu3bszbdo0YmJiuP/++wFpYRgXF8d3330HwIcffkiDBg1o1aoVhYWFzJw5k7lz5zJ37twL8+Uugt9//71cUMvk5ElxvWYU+0RIpSyDsRbP7vyNHTuW8PBwxo4dyx9//IGhIBs8ql8prVYY7TG7+lDi6lN+fXEBdlkJ2CcfwT71KCAt0D744AOuu+467Oy0qplSdUVBQQF79+7l4MGDREdHExcXR3x8PCdPnqxeO0KHMlWwnCzhK0sgy+xUJpzlhNxdL7UQ1oVioLQyFz5VBLqsipHwlmUyFJ4S5sovE/QqMFBYWEhcXBxxcXGVH9pgwNfXl+DgYEJCQggPD6dx48a0adMGd3f3GviyZ2/mzJl88MEHHDlyBIPBQEZGxllVY1NKKaWUUkoppZRSSimllFJKXdpqJKy1bdu2cq+NRiMBAQG89957TJgw4az2NXbsWFJSUnj11VeJj4+ndevWLFy4kIiICADi4+OJiYkp3b6wsJCnnnqKuLg4XFxcaNWqFQsWLGDIkCHn/8Uukl69evH777+TmpoKgLEgE8fjm3A8vkmqazl5YLJU2DK7eGNy9cXk4nPJtDucNWtWaWUtg8GA2aluDKBXyWzGUJSLMTcVY24ahrw0jJbqWobiygfYhw0bpkEtpeqQLVu28H//939kZGRU+r7ZYKl25VqmBaF12Q0JadVGO8IL5NSKhuQh36u22Vsmy7mcGuYq99qEnHcuGHIMFVsx5gElkJKSQkpKCrt37y79qIODA4888shZVeWsKYGBgbz11lsANGzYkO+//x4/P79aPiullFJKKaWUUkoppZRSSiml1MViMJvN5jNvdmXJzMzEy8uLjIwMPD09a+UcCgsL2bVrF7t37+bo0aNER0cTGxtLYWFhpdubDUZMLj6Y3AMwufphcvOTAJedw0U+88oZCrJw3T5Llg0GzGZz6Ty3/di60QYRJJhVkG0JZiVjzLFMRVW3QPP39ycsLIzIyEgaN25Mp06dCAoKuognrS4mk8mE0XhpV7e70uTl5XH77beTmJgIgDnEjNnTLG383CxhrEuxHeGZ5IDdQgmNzpw5k/DwcGJiYrjtttso6VoC4bV8fheaGSgEcixhrmwgEwwJBgyFBhwcHPjuu+8ICQm5oIe9UM8M+fn5ODs7X8Azq3l14XlJKaWUUnWfPjOcO712SimllKoOfWY4d3rtlFJKKVUdNfHMcAnXCbm8OTo60qlTJzp16lS6zmQykZiYSGxsLMePHyc6Oppjx45x+PBh0vnMSgABAABJREFUsrKysMtNwS43pdx+TI5umJ29MDl7YnbyxOTkgdnJHZOTB9g7geHipxOs+cBaywmaSjAUZmMoyMJYYJnnZ2LIz8SYn4HBVFzhI0ajkfDwcBo2bEiDBg0IDw8nLCyM0NBQXF1da+FLqNrw5ptvsnnzZr799ls8POpIwFCdUUxMTGlQC4AkS5gnndK2hjiD2dlcuowTcBll8k6taMjl8LNlxtYyMd/SMjHPspxnWc6xtFYEioqK2LFjxwUPa50Pk8nEG2+8wRdffEFiYiIHDx4kMjKS//73vzRo0IC77767tk9RKaWUUkoppZRSSimllFJKKXWB1VhYa86cOcyePZuYmJgK1aC2bt1aU4e9rBmNRoKDgwkODuaqq64qXW82m0lISODAgQPs37+fQ4cOceTIEVJTUzEW5kBhDnaZJyrsz2x0KA1umZ09LHNLsMvRAy7V6kFmMxQXYLSGrwoyLcGsLAz5WRiKck9bQMfBwYHw8HCaNm1KkyZNaN68OY0bN77kKp6oC2/RokUALF++nGHDhtXy2ajqatq0Kffeey+LFy8mJiYGQ5ElqJUOhip+DcyYJbBlCXOZXSxBrrJtEl2AS6Tb6Z9//skff/xRWtEQl9o+ozMo2/Iwz9LyMM/S8tASyCIfDObqBY7r1avHNddcQ79+/WrunM/B66+/zowZM5g8eTL33HNP6fo2bdrwwQcfaFhLKaWUUkoppZRSSimllFJKqctQjYS1Pv74Y1544QXuuOMOfv/9d+666y6OHDnCpk2bePDBB2vikFc0g8FQGuLq06dP6frMzEyio6OJi4sjNjaWEydOEB8fT3x8PKmpqRhMRRjy0jDmpVXYpxkDZicPCW45e1rmXpbKXB5grOWEgtkMxfmWQFYmhoLM8tWxSipvF2nl5OREUFBQ6XULCQkhNDSUsLAwgoODsbfXonOqakVFRbV9CuosGAwGbrvtNm677TYKCgqIjY0lKSmJpKQkTp48SWpqKikpKaSkpJCamkpaWholJSVStamA04e6nMwVA13WKl3O2KZazr7WekVDKxO2algFliCWNXhlrYZlmaq65mUZDAa8vb3x9fXFz88PX19ffH19CQgIICAggMDAQEJDQ3Fzc6vRr3WuvvvuO6ZNm0b//v25//77S9e3bduW/fv31+KZKaWUUkoppZRSSimllFJKKaVqSo0kUqZMmcK0adO45ZZbmDFjBs888wyRkZG89NJLpKam1sQhVSU8PT1p06YNbdq0qfBeQUEBSUlJpeGtEydOEBcXVzrl5+dLAKogEzLKf9YMmB3dpRqXsxcmZ2/MLt6YXH0xO1beW8vs6EZu+7FQUozrrrkA5LYZDXb2mB1PM4huKsGYl4YxNw1DfjrGvAxLMCsLg+n0gZmAgABCQ0MJCQmhfv36pcGs4OBgvL29pRWYUtVUUlJSulxcXLFVpro0ODk50ahRIxo1alTlNiaTifT0dFJSUkhOTiY5OZmTJ0+WBrySkpJITEykoKAAQ4HhjIEuALODLbxVLsjlVPF1bQe7zpq1HaElhGXItwWwSl+XDWhVI4QFYG9vXxq4qlevHvXq1SMgIAB/f3/8/f1Lw1mXcrg2Li6Oxo0bV1hvMpk0FKqUUkoppZRSSimllFJKKaXUZapGRjhjYmK4+uqrAXBxcSErKwuA8ePH061bNz799NOaOKw6C05OToSFhREWFlbhPbPZTHJyMrGxseWmEydOcOLECfLy8jAUZkNhNnaZ8eU+a3JwweRejxKPIEq86mN28QWDAQxGqchVYht8Nju5g51D+YMXF2CXGY9d5gmM2UkYc1MwVFEJxmAwEBAQQEhISOkUGhpaGtDStoXqQsnKyuL1118vff3jjz/Spk0bWrZsWYtnpWqK0WgsrdDUpEmTSrcxm81kZmaSmJhYGuZKTk4urdCVlpZWOi8uLpbWi0VA1pnDSmbHU4JdZSt3uSGT4wX+0lUpBnJkKlv5qkIgq5oBLJDra62GVbYilr+/f2kYKzAwEB8fH4yXajveamrVqhWrVq0iIiKi3PpffvmFDh061NJZKaWUUkoppZRSSimllFJKKaVqUo2EtYKCgkhJSSEiIoKIiAjWr19Pu3btiIqKqv0WTOqMrCGogICACoPFZrOZtLS00gpcx48fJyYmhqioKGJjY6EoD2NaNPZp0QCYHFwp8Q6jxLchJV7/z95dx1dZvg8c/zwn1t2sN0Z3x6QbpFTAAgMDAxUsFEWwEBNRwUAxQEQBkRLpklJ6MGCMNevunXh+f0yO3/02cMDGGFzv1+u8xnnivq/nEQ/XzrnOdftWPV9pIdqsaHTZcWjy01Co+HfE0dGRhg0bEhQUZCkw8/X1xcfHB2tr69q5CUIAZWVlbN26lYULF5KWlmbZnp2dzZNPPsmYMWMYO3Ys7u7udRilqAuKouDs7IyzszONGze+6HGqqpKfn09WVlaVj+zsbMsyjLm5uZhMJpQyBcqAvEssv2ilgiOoLiq4gequggNUONwWTENNYATtxvKla00DTeX/8ttWMWgRKJkKZIGSo5TPX1L9IixnZ2dLAZabmxuurq6WQqwLf3Z1dcXZ2Rmtto6X0r1OvPbaa4wfP56kpCTMZjMrV67k9OnTfP/996xdu7auwxNCCCGEEEIIIYQQQgghhBBC1IJaKdbq27cva9asoX379kycOJEpU6awfPly/v77b2677bbamFJcI4qiWD6I///LK5aUlBAVFcWxY8c4fPgwR48epbS0CE36afTppzFbO1Lm+2/xl1JWhFXSIbSZ5yoUaAUGBtK+fXvatGlDixYt8Pb2liULxTVTWlrK8ePH2b17N1u2bCE3t3wdUE8bE+kl5QUmHTzLOJgOS5cu5eeff6Zr16707t2bjh07SuGWqEBRFJycnHByciI4OPiSx5rNZvLy8sjMzLQUc/3vUoxpaWmkpKSQlZVVXtCV+U9xVXT5+aq1Cp6geqqoXuXFXNhT3h3rAnv+/Ze/CJQ0BdJBSVdQCqt+nXV0dMTHxwdvb+8KSxBeKMRyc3PDxcWlXi9HWFeGDx/OsmXLePvtt1EUhRkzZtC+fXvWrFnDgAED6jo8IYQQQgghhBBCCCGEEEIIIUQtUNRaaHVlNpsxm82WD25//vlndu/eTVhYGJMmTcLK6lqt33Rl8vLycHZ2Jjc3Fycnp7oOp94qLS3l6NGj7Nq1i61bt1qWw7xA1VqjmEoBaN26NX369KF79+40aNCgLsIVN6H8/HzOnTtHdHQ00dHRnDlzhujoaIzGf6tbXK3NDAgooZdvKU/sdAXgq97ZRGbrWRNrQ1RuxQKVBg0a0KRJE8LCwggLCyM0NFQKDkWNKi4uJjExkZiYGKKiooiMjOTUqVOUlZVVOE61VVH9VNRgFe3mfzprDTGhxCkoiQpKXsW/kxqNhrCwMJo3b07jxo0JDQ0lICAAR0fHa3Zt9dGV5gxGo5G33nqLBx98sMoliesDyZeEEEIIUR2SM1w5uXdCCCGEqA7JGa6c3DshhBBCVEdt5Ay1UqxV30lyVvNKSkpYunQpixYtqrC9UaNGvPDCCzRp0qSOIhM3MlVVyc3NJTU1lZSUFJKTkzl//jzx8fHExcWRmZlZ5Xmu1mZauhno4l1GKzcjWg2UmOChbeXFWgv7ZGPzzypuiQUa9qZYcSRDT3yBFrWKZetsbW0JCgoiMDAQPz8/yzKeFzoVSUcicbXKyso4deoUR44c4fDhwxw/frxS8RaAqlNRjOV/RzUaDU2aNKFdu3a0a9eOli1bYm9vf61Dr/euJmdwcHAgIiLiP7uuXa8kXxJCCCFEdUjOcOXk3gkhhBCiOiRnuHJy74QQQghRHbWRM9R4hUBeXp4luPXr11foUKPVahk2bFhNTynqARsbGx544AE8PDx47733APDz8+OTTz7Bzs6ujqMT9U1ZWRnZ2dmWR1ZWFtnZ2WRmZloe6enpZGZmYjAYLjmWu42JQAcTAQ4mgh1NhDiZ8LAxc6ERlskM6cUaSk3/npNRrMFaC27WZvwdzIwJK2FMWAmFBoWYfC2xeVriC7QkFmhJKtRSXFzMqVOnOHXqVKX5FUXB1dW10vJyrq6uliXmXF1dcXV1xc7OTjp0iSpZWVnRunVrWrduzYQJEygtLeXgwYOsWrWKffv2WY5TjAqNGzdm7NixdOvWTbpm1bH+/fuzfft27r///roORQghhBBCCCGEEEIIIYQQQghxjdRosdbatWt59dVXOXz4MADjxo2jsLDQsl9RFJYtW8Ydd9xRk9OKeuTWW2+1FGt16NBBCrWEhaqqFBQUWIqtMjIyyMjIIDMzk6ysrAqPgoKCyxrbxcqMu40ZT1szXrYmfOzM+Nqb8LU3Yfcfr4JZpRqm/OlcYdu0feXPPwrPxdPWbNlur1dp6Wakpdu/RapGM6QWaThfpCW5UEtasYa0Yg0ZJRqySjQYVSzXdebMmUvGYmVlZSng+t9HVYVeWq32su6RuLFYW1vTvXt3unXrxnvvvcfatWsBaNGiBfPmzUOv19dxhAJgyJAhvPTSS0RERNChQ4dKnc1GjBhRR5EJIYQQQgghhBBCCCGEEEIIIWpLjRZrffnllzz55JMVtp09e5bQ0FAA3n33Xb755hsp1rqJ/W9XID8/vzqMRNQ2VVUpLi4mJyeHnJwccnNzLX/+3+f/2x2rqmXbLkarqDhZqTjpzThbqzhbmXGxNuNipeJibcbV2oyrtYqrtRmdphYv9D/oNODnYMbPwQxU7PJlViHfoJBVoiG7VENOqUJOmYbcUg05ZQq5ZRry/vlZalIoKysjJSWFlJSUS86p0WhwcXGxdORycXGp8HB2drb8dHV1xdHREY2mDm+SqDWKonDHHXdYirVGjBghhVrXkcceewyADz/8sNI+RVEwmUyVtgshhBBCCCGEEEIIIYQQQggh6rcaLdY6duwYM2bMuOj+IUOG8P7779fklKIeeumll9i+fTsjR46s61DEVVBVlbS0NOLi4khISCA5OZm0tDRLR6zs7GxKS0sve1w7nRkXaxU3azMuVuV/drE242xlxtlKxdm6/Ke9TqW+rwioUSi/JisTIVy6KKPEBHllGnJLy4u3cssUcko15JT9U+RVqiGrtLy4y2w2W7p1VYdWq8XZ2Rl3d3c8PDzw9PSkQYMG+Pn5ERQUhL+/vxT41GNBQUGWPwcHB9ddIKISs9n83wcJIYQQQgghhBBCCCGEEEIIIW4oNVqslZKSgru7u+X5tm3bCAgIsDx3cHAgNze3JqcU9dCQIUMYMmRIXYchLkNubi7x8fHExsZy7tw5oqOjOXv2bLWWI9RrVJyszDjpVRysVBz15X92tPpnu1V5VywnKxUXKzNWsnpflWy0YGNrxssWuERhl1mF3DKlvLCrTCG3VEO+ofx5+U+FAsO/fy4yajCZTJbirqioqEpj6nQ6QkJCaNiwISEhIYSEhBAUFIS3t7d05KoHtFotL774IikpKTRt2rSuwxH/iIuLY+PGjRiNRnr16kXz5s3rOiQhhBBCCCGEEEIIIYQQQgghxDVQo8Vabm5uREdHExISAkDHjh0r7I+KisLNza0mpxRC1ILc3Fx+/fVXjh07RnR0NNnZ2VUep1VUvO3MNLAz4WlrxtOmfPnBC8sROlmZsdZS7ztgXTB8+HDGjRvHsmXLWLt2LTmlCp62dR1VRRqFf5Z/rN7yaUZz+VKMuaUasssUsks0ZJZqyCjWkFKk5XyhlmKjkaioqEqFXNbW1gQHB9OsWTOGDh0qhUDXsWHDhtV1COJ/7Ny5k6FDh1JUVASUF0R+99133HXXXXUcmRBCCCGEEEIIIYQQQgghhBCittVosVbPnj2ZN28e/fv3r3L/vHnz6NmzZ01OKYSoBW+++Sb79++vtD3QwUhzVyOBjiaCHE342ZvQ3USNlcaNG0dgYCDjxo1jzZo1ZJRoaPQfyxde73Saf4u7gqvYr6qQUaIhLl9LfIGW6FwdRzPLl0QsLS3l9OnTnD59mvXr1rF8xQpcXFyuZfhC1Euvvvoqffr04YsvvsDW1paXXnqJF154QYq1hBBCCCGEEEIIIYQQQgghhLgJ1Gix1osvvki3bt0YM2YML7zwAo0bNwbg9OnTzJkzh82bN7Nnz56anFIIUQvatGlTZbFWfIGO5CItrtZmnP9ZvtDRSsVBb8ZRr+JgeZix16vY61Ts9Sr6G6Sga9myZZbOWoqi4GFjruuQropZhSKjQqFBocCgUGgs/1lg0FBgUMgvU8g3aMgrU8gt05BTqlBorPo/ZqPGjbGzs7vGVyBE/XT8+HF27tyJr68vAB988AFfffUV2dnZuLq61nF0QgghhBBCCCGEEEIIIYQQQojaVKPFWu3atWPZsmU89NBDrFy5ssI+V1dXfvrpJ9q3b1+TUwohasG9995L//79OXz4MGfOnCE2Npb4+HgyMjIwmCGtWEtacfXHs9KUF2056M3Y68oLuuz16j8FXuWFXo7/LJvo9M9PG23tXd+VWrt2LWvWrEFRFFRVxcVareuQLC4sZ5hXVl5clVemIf+fIqx8g0LhPwVYhQaFgn8KtIouUnj1XxwcHPD39ycoKIhGjRrRsmVLmjRpglZ7Hf5HE+I6lJOTg5eXl+W5vb09dnZ25OTkSLGWEEIIIYQQQgghhBBCCCGEEDe4Gi3WAhg5ciQDBgzgjz/+ICoqCoBGjRoxcOBA7O3ta3o6IUQt8fHxYciQIQwZMsSyzWAwkJ6eTmZmJllZWWRlZZGXl0dOTg65ubnk5eWRl5dHfn4+eXl5FBQUoKoqZWaFslKF7NLqFwdZa8s7dzn/U7zl8j/FXM7/76edTkVRauMuVKSqaoWfta3MBHllGnLL/i3Cyv3nee4/z3P++VlguPL2Zba2tjg6OuLk5GT56ezsbHm4urri5uaGm5sbXl5e8louRA04efIkKSkplueqqhIZGUl+fr5lW+vWresiNCGEEEIIIYQQQgghhBBCCCFELarxYi0AOzs7Ro8eXRtDCyHqkF6vx9fX17J0138xm80UFhaSn59veVwo6Prf4q4LxV7Z2dlkZ2dTVlZGqUmpdgcvnaKWF3VZm3H5p8DL2bq8wMvV2oyrtRk3m/LtmmtQ1HUp6j9LD2aVKmSVaMgp05BTWr7EYG6ZhpwyhdxSDbllGkpMlxesVqvF2dkZFxcXXFxcKhRcOTo64uzsXKEgy9HREQcHB/R6fS1drRDiYvr161ep8PPWW2+1dO5TFAWTyVRH0QkhhBBC1G/t27dny5YtuLq60q5dO5RLfLvn0KFD1zAyIYQQQogbg+RbQgghhBBXp1aKtWra/Pnzee+990hOTqZFixbMnTuXHj16/Od5f/75J7169aJly5YcOXKk9gMVQlSg0WhwdHTE0dGx2ueoqkpxcbGlc1dWVpaliCs7O7vC85ycHAoLCzGqCpmlCpn/0blLq6i42ZjxtDHjbWfG29aEr70ZP3sTnrbmKgu53KzNfBSeS6kJpu1zBuCdrrlYa8v3XUx+mUJioZbzhRqSi7SkFmlIL9aSUXJ5RVh6vR5XV1dcXFwsHa5cXFxwc3Or0PHKzc0NJycnNJor77AlhLg2YmJiamXcy82XlixZwrvvvktUVBTOzs4MHjyY999/H3d391qJTwghhBDiWhk5ciTW1tYAjBo1qm6DEUIIIYS4AUm+JYQQQghxdRT1Wq3ndYWWLVvG+PHjmT9/PuHh4XzxxRcsXLiQkydPEhgYeNHzcnNzad++PWFhYaSmpl5WsVZeXh7Ozs7k5ubi5ORUA1chhKgtpaWlliKuC4VcWVlZZGZmWh4Xlm40my9eXGWtVQl0MBHoaCTY0USwo4kABxO6f2qfSkzw0DZXABb2ycZGW75dVSGjRENMnpaYfC3x+Tri8rXklF26aMrZ2Rl3d3c8PT1xd3fH3d3dUnTl6uqKu7s7Li4uODg4XPJbSUKIunW95AyXmy/t3r2bXr168dFHHzF8+HCSkpKYNGkSjRo14tdff63WnNfLtQshhBDi+iY5w5WTeyeEEEKI6pCc4crJvRNCCCFEddRGznDdF2t16dKF9u3bs2DBAsu2Zs2aMWrUKGbPnn3R8+68804aNWqEVqtl1apVUqwlxE3OaDSSmZlJamoqycnJJCUlkZCQQGxsLPHx8RgMhkrn6DUqYc5G2nsY6OJdxlO7XQD4qnc2J7L07Eu1IjJbR+5FCrN8fHwIDg4mMDAQf39/fH198fHxwcvLCxsbm9q8XCHENXK95AyXmy+9//77LFiwgOjoaMu2Tz75hHfffZeEhIRqzXm9XLsQQgghrm/XS85QVlZGWlpapS/xXOqLgHXterl3QgghhLi+XS85g+RbQgghhLhR1UbOcF0vg1hWVsbBgweZNm1ahe0DBw5kz549Fz1v0aJFREdHs3jxYt58883/nKe0tJTS0lLL87y8vCsPWghxXdLpdHh7e+Pt7U3r1q0r7DMajSQmJnL27FmioqI4c+YMp0+fpqCggMhsPZHZelbF/Ftc9c4hR6LzdBXGDg0NpXHjxjRu3JiwsDBCQ0Oxs7O7ZtcnhLh5XUm+1L17d6ZPn8769esZMmQIaWlpLF++nGHDhl10HsmXhBBCCFEfnTlzhokTJ1bKi1RVRVEUTCZTHUUmhBBCCHFjkHxLCCGEEOLy1UqxllarJTk5GS8vrwrbMzMz8fLyqnZilpGRgclkwtvbu8J2b29vUlJSqjwnKiqKadOmsWvXLnS66l3e7NmzmTVrVrWOFULceHQ6HcHBwQQHB9O/f38AzGYzCQkJ/P3336xevZqYmBjL8dF5Ouzt7RkxYgTdu3enadOmWFtb11X4Qoib3JXkS927d2fJkiWMGzeOkpISjEYjI0aM4JNPPrnoPJIvCSGEEKI+euCBB9DpdKxdu5YGDRrIMvNCCCGEEDVM8i0hhBBCiMtXK8VaF1tZsbS0FCsrq8se7/8ndheq8f8/k8nE3XffzaxZs2jcuHG1x3/ppZeYOnWq5XleXh4BAQGXHacQ4sah0WgICgoiKCiIESNG8Nprr7F7924AXF1dmT9/Pn5+fnUcpRBC/Ku6+RLAyZMneeqpp5gxYwaDBg0iOTmZ559/nkmTJvH1119XeY7kS0IIIYSoj44cOcLBgwdp2rRpXYcihBBCCHFDknxLCCGEEOLy1Wix1rx584DyDwsXLlyIg4ODZZ/JZGLnzp2Xlax5eHig1WordYVIS0ur1D0CID8/n7///pvDhw/z5JNPAuXdcVRVRafTsXHjRvr27VvpPGtra+mKI4S4KL1ez7PPPmsp1ho+fLgUagkhrhuXmy9BeZes8PBwnn/+eQBat26Nvb09PXr04M0336RBgwaVzpF8SQghhBD1UfPmzcnIyKjrMIQQQgghbliSbwkhhBBCXL4aLdb66KOPgPJODp9//jlardayz8rKiuDgYD7//PNqj2dlZUWHDh3YtGkTo0ePtmzftGkTI0eOrHS8k5MTx48fr7Bt/vz5bN26leXLlxMSEnK5lySEEAC4u7vTvn17IiKOV/n6I4QQ1dGuXbtqt4I/dOhQtY673HwJoKioqNJy0Rfytot1SBVCCCGEqC/y8vIsf54zZw4vvPACb7/9Nq1atUKv11c41snJ6VqHJ4QQQghR70m+JYQQQghxdWqsWGv16tWcPn0aKysr+vTpw8qVK3F1db3qcadOncr48ePp2LEj3bp148svvyQ+Pp5JkyYB5UvyJCUl8f3336PRaGjZsmWF8728vLCxsam0XQghLtd7771HUVERzs7OdR2KEKKeGjVqVK2Mezn5EpR3CHz44YdZsGCBZRnEZ555hs6dO+Pr61srMQohhBBCXCsuLi4VCuRVVaVv376VtimKgslkqosQhRBCCCHqNcm3hBBCCCGuTo0Va40ePZqUlBQ8PT3ZuXMnBoOhRsYdN24cmZmZvP766yQnJ9OyZUvWr19PUFAQAMnJycTHx9fIXEIIcSl6vV4KtYQQV+W1116rlXEvN1+6//77yc/P59NPP+XZZ5/FxcWFvn37MmfOnFqJTwghhBDiWtq2bVtdhyCEEEIIcUOTfEsIIYQQ4uooag2tdePj48NXX33F8OHD0Wg0pKam4unpWRNDX3N5eXk4OzuTm5sr7VmFEEIIcVE3c85wM1+7EEIIIaqvrnKGoqIinn/+eVatWoXBYKB///7MmzcPDw+PaxbD1ZJ8SwghhBDVIfnWlZN8SwghhBDVURs5g6ZGRgEmTZrEyJEj0Wq1KIqCj48PWq22yocQQgghxM3OZDLx/vvv07lzZ3x8fHBzc6vwEEIIIYQQV+61117j22+/ZdiwYdx1111s2rSJxx57rK7DEkIIIYS4YUi+JYQQQghx5WpsGcSZM2dy5513cvbsWUaMGMGiRYtwcXGpqeGFEEIIIW4os2bNYuHChUydOpVXX32V6dOnExsby6pVq5gxY0ZdhyeEEEIIUa+tXLmSr7/+mjvvvBOAe+65h/DwcEwmk3yRUAghhBCiBki+JYQQQghx5WqsWAugadOmNG3alNdee40xY8ZgZ2dXk8MLIYQQQtwwlixZwldffcWwYcOYNWsWd911Fw0bNqR169bs27ePp556qq5DFEIIIYSotxISEujRo4fleefOndHpdJw/f56AgIA6jEwIIYQQ4sYg+ZYQQgghxJWrsWUQ/9drr70mhVpCCCGEEJeQkpJCq1atAHBwcCA3NxeAW2+9lXXr1tVlaEIIIYQQ9Z7JZMLKyqrCNp1Oh9ForKOIhBBCCCFuLJJvCSGEEEJcuRrrrNW+fXu2bNmCq6sr7dq1Q1GUix576NChmppWCCGEEKJe8vf3Jzk5mcDAQMLCwti4cSPt27fnr7/+wtrauq7DE0IIIYSo11RV5f7776+QV5WUlDBp0iTs7e0t21auXFkX4QkhhBBC1HuSbwkhhBBCXLkaK9YaOXKkJSEbNWpUTQ0rhBBCCHFDGj16NFu2bKFLly48/fTT3HXXXXz99dfEx8czZcqUug5PCCGEEKJeu++++yptu/fee+sgEiGEEEKIG5PkW0IIIYQQV05RVVWtyQFNJhO7d++mdevWuLq61uTQ10xeXh7Ozs7k5ubi5ORU1+EIIYQQ4jpVkznDvn372LNnD2FhYYwYMaKGIqw9ki8JIYQQojokZ7hycu+EEEIIUR2SM1w5uXdCCCGEqI7ayBlqrLPWBVqtlkGDBhEZGVlvi7WEEEIIIa61rl270rVr17oOQwghhBBCCCGEEEIIIYQQQghRi2q8WAugVatWnDt3jpCQkNoYXgghhBCiXlq9ejVDhgxBr9ezevXqSx5bH7prCSGEEEIIIYQQQgghhBBCCCEuT60Ua7311ls899xzvPHGG3To0AF7e/sK+6WVqBBCCCFuRqNGjSIlJQUvLy9GjRp10eMURcFkMl27wIQQQgghhBBCCCGEEEIIIYQQ10StFGsNHjwYKO8IoSiKZbuqqvLhoxBCCCFuWmazuco/CyGEEEIIIYQQQgghhBBCCCFuDrVSrLVt27baGFYIIYQQ4obx/fffM27cOKytrStsLysr46effmLChAl1FJkQQgghhBBCCCGEEOJmZTAbKDIUUWoqRVVVtBottjpbbHW2aBRNXYcnhBBC3BBqpVirV69etTGsEEIIIcQN44EHHmDw4MF4eXlV2J6fn88DDzwgxVpCCCGEEEIIIYQQQogaV2goJDYvlvi8eBLyE0jMTySpIInUolTSi9IpMhZVeZ5G0eBi7YKnrScN7Bvg7+iPv6M/gY6BBDsF4+vgi1ajvcZXI4QQQtRPtVKsFRUVxW+//UZsbCyKohAaGsrIkSMJDQ2tjemEEEIIIeqdC8tD/3+JiYk4OzvXQURCCCGEEEIIIcTN43TWabYlbCMyM5KMkgy0ihZvO2+auTejo3dHmrs3R6eplY9QhBCi1hnMBpLyk4jPLy/IisuL41zuOWJyY0grSqvWGBpFgwYNRtUIgFk1k1WSRVZJFqezT1c6Xq/RE+AYQKBjIP6O/jSwb4C3vTceth642bjhau2Ko5WjFHQJIYQQ1EKx1uzZs5kxYwZmsxkvLy9UVSU9PZ0XX3yRt99+m+eee66mpxRCCCGEqDfatWuHoigoikK/fv3Q6f5Nx0wmEzExMQwePLgOIxRCCCGEEEIIIW5ckZmRzPlrDgdTD1a5f0PsBgBsdbaEOodir7enwFBAXmkeRtWIrc4WD1sPPG09cbZ2RqNoyC/LJ6skC4PJgJutG609WtM/qD8+9j7X8tKEEDepjOIMjqcfJzIrkjPZZ4jOiSYxP9FSZFUVNxs3gpyCCHAMwN+hvEOWj70PnraeuNq4Yq+3txSsqqpKqanU8lqXVpRGcmEyifmJJOQnEJsXS0J+AqWmUs7lnuNc7rlLxuuod8TRyhEnayecrZ1xt3HH09YTH3sf/Bz8CHIOItAxUApmhRBC3NBq9F+5bdu28corr/Dqq6/y9NNP4+rqCkBWVhZz585l2rRpdO7cmZ49e9bktEIIIYQQ9caoUaMAOHLkCIMGDcLBwcGyz8rKiuDgYG6//fY6ik4IIYQQQgghhLhxrTq7ill7ZmFUjeg0Onr69aSTTycaODTAZDaRkJ/AsfRj/J36N3lleZzIPFHlODG5MZec5/eY33n3r3fpF9iPSW0m0cStSW1cjhDiJhaVHcW6c+vYmbSTqOyoKo+x0doQ4BRAkGMQAU4BhDiFEOJc/nC2rn5nf0VRsNHZYKOzwdPOs8rXNLNqJrkwmbjcuPKlFQsSSSlMIbUolYziDLJKsig0FAKQb8gn35DP+cLzF53TWmtNE9cmtPVqSyefTnT26Yyd3q7aMQshhBDXO0VVVbWmBhs3bhwuLi588cUXVe5/5JFHyM/PZ+nSpTU1Za3Iy8vD2dmZ3NxcnJyc6jocIYQQQlynriZn+O677xg3bhw2Nja1FF3tknxJCCGEENUhOcOVk3snhBA1a1PcJqZunwpA34C+vNTlpYt2vjKrZmJyY4jPi6fEVIKdzg5na2f0Gj2FhkLSi9PJKM4gtzQXFRUHvQNuNm7otXpSClPYnbTb0rlLQWFsk7E80/4ZHKwcqpxPiKshOcOVq4/3bk/SHr48/mWF7oAKCg1dGtLcvTlN3ZrS0KUhoc6heNt5oyhKHUZbkcFkIK8sj7yyPPLL8sktzSWnNMfSrSulMMXSqavYWFzhXL1GT+cGnRkcPJh+gf1wtHKso6sQQghxM6qNnKFGi7VCQkL44YcfuOWWW6rcv2vXLiZMmEBMzKW/dVLX6mNyJoQQQohr72bOGW7maxdCCCFE9UnOcOXk3gkhRM1JK0pj5KqRFBgKGNdkHNO7TK/1AobonGgWHF3AH7F/AODn4Me7Pd+ltWfrWp1X3HwkZ7hy9eneZRRn8Na+t9gcvxkAnUZHD78eDA4eTDffbrjauNZxhDXHrJpJyE/geMZx/k75m33J+0gqSLLst9HaMCBoAGOajKGtZ9vrqiBNCCHEjak2coYaXQYxNTWV4ODgi+4PCQkhJSWlJqcUQgghhKg33NzcOHPmDB4eHri6ul7yjYSsrKxrGJkQQgghhBBCCHHj+vTwpxQYCmjl0Yppnaddkw/2G7o05P1e7zO28Vhm7JlBUkES9224j5c6v8TYJmNrfX4hxI3jePpxJm+dTGZJJjpFx51N7+T+Fvfjbe9d16HVCo2iIcgpiCCnIG4NvRVVVYnJi2Fj7EbWx6wnJjeGNefWsObcGpq4NuGeZvcwNHQo1lrrug5dCCGEqLYaLdYqKSnBysrqovv1ej1lZWU1OaUQQgghRL3x0Ucf4ehY3qJ77ty5dRuMEEIIIYQQQghxE0gpTGFN9BoAXuz8IjpNjX4s8p86N+jM8uHLmbFnBpviNvHGvjeIyY3h+U7Po1E01zQWIUT9czD1II9tfoxiYzFhLmG80+Mdmrg1qeuwrilFUQh1DmVSm0k82vpRjmcc55czv7AhZgOns08zY88M5h6ay51N72Rs47G427rXdchCCCHEf6rx30oWLlyIg0PV667n5+fX9HRCCCGEEPXGfffdV+WfhRBCCCGEEEIIUTtWRq3EqBrp4N2BNp5t6iQGBysHPuj1AQuPL2Te4XksjlxMdmk2b4W/hVajrZOYhBDXv7i8OCZvnUyxsZiuDboyt89c7PX2dR1WnVIUhdaerWnt2ZrnOj7H8jPLWXpqKalFqcw/Mp+FxxYyLHQY9zS756YrahNCCFG/1GixVmBgIF999dV/HnO55s+fz3vvvUdycjItWrRg7ty59OjRo8pjd+/ezYsvvsipU6coKioiKCiIRx99lClTplz2vEIIIYQQtclsNnP27FnS0tIwm80V9vXs2bOOohJCCCGEEEIIIW4MqqqyOno1AGMaj6nTWBRF4eHWD+Pr4Msru19h3bl16BQdb4S/cU2WZRRC1C9lpjKmbp9Kflk+rT1b80nfT7DR2dR1WNcVZ2tnJraayIQWE9gUu4kfTv5ARGYEv579lV/P/kp7r/aMazKOfkH9ZIlEIYQQ150aLdaKjY2tyeEAWLZsGc888wzz588nPDycL774giFDhnDy5MkqC7/s7e158sknad26Nfb29uzevZtHH30Ue3t7HnnkkRqPTwghhBDiSuzbt4+7776buLg4VFWtsE9RFEwmUx1FJoQQQgghhBBC3BiOZRwjqSAJO50dfQP71nU4AAwLHYaN1oZndzzLb9G/4e/oz6Q2k+o6LCHEdear419xJvsMbjZuzO09Vwq1LkGv0TM0dChDQoZwNP0oiyMXszluM4fSDnEo7RBO+50YGjKU4Q2H08qjlRTICiGEuC4o6v//dPA606VLF9q3b8+CBQss25o1a8aoUaOYPXt2tca47bbbsLe354cffqjW8Xl5eTg7O5Obm4uTk9MVxS2EEEKIG9/V5Axt27alcePGzJo1iwYNGlR6k8DZ2bkmQ61xki8JIYQQojokZ7hycu+EEOLqvffXe3x/8nuGhgxlTs85dR1OBcvPLGfW3lkoKHw+4HO6+3av65BEPSU5w5W7Xu9dUkESw38djsFs4P1e7zMoeFCtzmc0G0kuSCazJJP8snxUVGy0NrjYuOBr74uDlUOtzl8bUgtTWRG1gpVRK0ktSrVs93fwZ0DwAPoF9qOVRys0iqYOoxRCCFFf1EbOUKOdtWpaWVkZBw8eZNq0aRW2Dxw4kD179lRrjMOHD7Nnzx7efPPNix5TWlpKaWmp5XleXt6VBSyEEEIIUU1RUVEsX76csLCwug5FCCGEEEIIIYS44aiqyqa4TQAMDBp4VWMZTAZOZZ3idPZpzhecp9RUiquNK83dm9PJuxN6rf6yx7yj8R2cyDzB8jPLefXPV1k1chWOVo5XFacQ4saw4MgCDGYDXXy6XPXrV1UKygrYl7yPfcn7OJp+lOicaAxmw0WPd7dxp4lbE1q4t6C1Z2taebTC3da9xuOqSd723jze9nEebf0o+5L3sTp6NdsStpFYkMiiiEUsiliEm40bt/jdQg+/HnRt0BUXG5e6DlsIIcRN5Lou1srIyMBkMuHt7V1hu7e3NykpKZc819/fn/T0dIxGIzNnzuShhx666LGzZ89m1qxZNRKzEEIIIUR1dOnShbNnz0qxlhBCCCGEEEIIUQtOZp4kuTAZW50t4X7hlzxWVVVi8mKIy43DqBrRoCHfkE9sbizHMo5xLP0YpabSKs91t3FnYquJ3Nn0TvSayyvaeqHTCxxIPkB8fjwfH/qYV7q+clnnCyFuPOcLzrPu3DoAnmr/VI0t2VdsLGZL/BZ+j/mdPef3YDQbK+y31lrjaeuJo5UjiqJQYiwhqySLnNIcMksy2XN+D3vO/9tIw8/Bj5YeLWnm1ozGro0JcQ6hgX0DtBptjcRbU7QaLeF+4YT7hVNkKGJX0i42x21md9JuskqyWB29mtXRq1FQaOHegm6+3eju2502Xm0u+zVdCCGEuBzXdbHWBf8/EVFV9T+Tk127dlFQUMC+ffuYNm0aYWFh3HXXXVUe+9JLLzF16lTL87y8PAICAq4+cCGEEEKIi5g8eTLPPvssKSkptGrVCr2+4i//rVu3rqPIhBBCCCGEEEKI+u+P2D8A6OnfExudzUWPi8uL45Xdr3Ak/cglx3OxdqG5e3MCHQOx1dmSVpzGvvP7yCzJ5N2/3mXtubW82/NdgpyCqh2jrc6W17q9xsSNE/n59M/c1ug2mrs3r/b5Qogbz+LIxRhVI10adKG159W/PxibG8uPp35kTfQaCgwFlu1BTkGE+4bT3rs9Ldxb4OvgW+WSgAVlBcTkxhCZFUlERgRH049yLvccSQVJJBUkWV5rAXSKDg87DzxsPHC2ccZR74id3g5rrTXWWmv0Gj1WWitstDbY6e1wsnbC3cYdbztvGtg3uKIuhZfDTm/HoOBBDAoehMFk4FDaIXYl7uLP839yNucsEZkRRGRG8NXxr7DX29O1QVd6+vekp39PPGw9ajU2IYQQN58aK9aaOnUqb7zxBvb29uzcuZPu3buj013d8B4eHmi12kpdtNLS0ip12/r/QkJCAGjVqhWpqanMnDnzosVa1tbWWFtbX1WsQgghhBCX4/bbbwfgwQcftGxTFMVSlG4ymeoqNCGEEEIIIYQQol5TVZWNcRuBSy+BmJCXwITfJ5BVkoVeo6exa2OstFaoqoqd3g5fB1+auzeng1cHQpxDKn2J3GA2sOrsKuYenMvJzJOMWzuOt255i36B/aoda+cGnRkSPITfY3/n7f1v8/2Q76ssmBBC3PiKjcWsiloFwH3N77uqsU5lneKLo1+wOX6zZZufgx/DGw5nSPAQQl1CqzWOg5UDrTxb0cqzFWObjAUgvyyfiIwITmSe4HTWaaKyo0jIT6DMXEZKYQophZdeHakqGkVDsFMwLdxb0LlBZ8J9w/G087zscapLr9XTpUEXujTownM8R2phKnuT97Ln/B72nd9Hdmk2W+K3sCV+CwoKbTzb0D+oP4OCB+Fj71NrcQkhhLh51Fix1ieffMKLL76Ivb09ffr0ITk5GS8vr6sa08rKig4dOrBp0yZGjx5t2b5p0yZGjhxZ7XFUVaW0tOoWxUIIIYQQdSEmJqauQxBCCCGEEEIIIW5IR9OPklSQhJ3Ojh7+Pao8xmg28vzO58kqyaKpW1M+7fsp3vaX/pL4/6fX6BnTeAw9/Xryws4XOJR2iGe2PcMDLR9gcrvJ1V5C69mOz7IjcQdH04+y/MxyS0GEEOLmsjF2I/mGfPwc/P5z+daLSS9KZ+6huayOXg2AgkJP/57c3exuujboWiPFoI5WjnTz7UY3326WbWbVTFpRGmlFaWQWZ5JTmkOhoZAiYxGlplLKTGXlD3MZJcYSCg2F5JbmklWSRUphCiWmEs7lnuNc7jnWnFuDgkI7r3aMbjSawcGDL9khsSZ423szKmwUo8JGYVbNRGZGsjNpJzsSdnAi8wRH0o9wJP0I7//9Pu292jMsdBiDggfhbO1cq3EJIYS4cdVYsVZwcDDz5s1j4MCBqKrK3r17cXV1rfLYnj17VnvcqVOnMn78eDp27Ei3bt348ssviY+PZ9KkSUD5EoZJSUl8//33AHz22WcEBgbStGlTAHbv3s3777/P5MmTr/IKhRBCCCFqTlBQ9ZdFEEIIIYQQQgghRPWtPbcWgH6B/bDV2VZ5zOro1ZzIPIGjlSOf9P3ksgu1/pe3vTcLBy3kw78/ZHHkYhZFLOJgykFm95hNoFNgtc6f3G4yc/6aYykECHMNu+J4hBD106qzqwAYHTb6ioqq1p9bz5v73yS/LB+AIcFDeLTNozR0aViTYVZJo2jwsfe5oq5TqqqSVpTG6ezTHEk7wt7ze4nIjOBQ2iEOpR3iw78/5L4W93FX07uw09vVQvQVaRQNLTxa0MKjBY+1eYyUwhS2xm9lY9xGDqUessQ158Ac+gT2YXTYaLo26IpWo6312IQQQtw4FFVV1ZoYaNWqVUyaNIm0tDTLEj5VTngFy/rMnz+fd999l+TkZFq2bMlHH31kKfi6//77iY2NZfv27UB5h68vvviCmJgYdDodDRs25OGHH+bRRx9Fo6leYpOXl4ezszO5ubk4OTldVqxCCCGEuHlcbs6wevVqhgwZgl6vZ/Xq1Zc8dsSIETUVZq2QfEkIIYQQ1SE5w5WTeyeEEFem1FRKn2V9yDfk8+WALyt0frlAVVWGrxpOXF4cz3V8jvtaXN1yY/9rY+xGZu6ZSb4hH1udLa90fYURDf/7d3yzauaRTY+wP3k/Dewb8PXArwlwCqixuMSNS3KGK3c93bv4vHiG/ToMjaLhj9v/uKyiJ4PZwOz9s/nlzC8AtHBvwfQu02nl2aq2wq11KYUprD23lp9P/0xyYTIAbjZuTG43mdFho+usMCqlMIXfY35ndfRqzuactWz3tvNmRMMRjGg4gmDn4DqJTQghRO2pjZyhxoq1LigoKMDJyYnTp09fdBlEZ+fruyXk9ZScCSGEEOL6dbk5g0ajISUlBS8vr0sWkV9Jcfu1JvmSEEIIIapDcoYrJ/dOCCGuzNpza3lp10s0sG/Ahts3VNmd5nDaYSb8PgE7nR3bxm67ZKcWVVU5nnGcHYk7OJ5+3FI0EOgUyC1+tzCi4Qjs9fYVzkkuSObl3S/zd+rfANzZ5E6mdZ72n8UFOSU5jP99PLF5sbjZuPFez/fo3KDz5d4CcZORnOHKXU/3bt6heXx1/CvC/cL5vP/n1T6v2FjMlO1T+DPpTxQUJrWZxCOtH0GnqbHFleqU0Wzk95jfWXB0AQn5CQA0c2vG9K7TaePZps7iUlWVU1mnWHV2FWvPrSWvLM+yr41nG4aHDmdQ8CBcbFzqLEYhhBA1p14UawHs2LGD8PBwdLr6mQhcT8mZEEIIIa5fN3POcDNfuxBCCCGqT3KGKyf3TgghrszDGx9mX/I+Hm/zOI+1fazKYz74+wO+PfEtt4beyuwes6s8Jrskm1/O/MLKqJUkFSRddD4Xaxeebv80tze6HUVRLNtNZhNfHv+S+UfmAzAgaABzesxBr9VfMv70onQe3/I4p7JOoVE0PN7mcR5u/fAVLYkmbg6SM1y56+XemcwmBq4YSFpRGu/1eo/BwYOrdV6ZqYzJWyez5/webHW2vNvzXXoH9K7dYOuIwWRg2ellzD86n/yyfBQU7mh8B0+3fxpn67ptElJmKmNbwjZWnV3FnvN7MKtmAHSKjnC/cIaEDKFPQJ9rsoSjEEKI2lFvirUATCYTq1atIjIyEkVRaNasGSNHjkSrvf7X671ekjMhhBBCXN9u5pzhZr52IYQQQlSf5AxXTu6dEEJcvrSiNPr/0h8Vld9v+x1/R/8qj7tj9R2czj7NnB5zGBo6tMK+MlMZXx//mkUnFlFsLAbATmdHT/+edG7QmWCnYFRV5WTmSVZErSA2LxaAW/xu4Y3wN/Cw9agw3qa4Tby480UMZgODgwczp+ec/yy8KjYW89a+t/gt+jcAhgQP4a1b3vrPQi9xc5Kc4cpdL/duR8IOntz6JM7WzmwdsxUrrdV/nmMym3hux3Nsjt+Mrc6WLwZ8QTuvdlccg6qqnC88z6nMU8TmxZJcmExWSRb5ZfkUG4sxmo2oqCgo6DQ6dBodVhor9Fp9hZ8X9uk0OrSK1vJTr9Vjo7XBTmeHo5UjbrZueNl5EeAQcFmvbZnFmXx48ENWR68GypdGfLbjswwPHV6hYLaupBelsz5mPWvPreVU1inLdhutDT39ezIkZAg9/HtgrbWuwyiFEEJcrtrIGWql9dXZs2cZNmwYiYmJNGnSBFVVOXPmDAEBAaxbt46GDRvWxrRCCCGEEEIIIYQQQgghhLhJbY7bjIpKW8+2Fy3UyizO5HT2aQC6NOhSYV9GcQZPbnmSE5kngPKltsY3H0//oP7Y6mwrHNu5QWfubX4vSyKXMO/QPHYn7eaO1Xcwq/ssegX0shw3IGgA1n2seXrb02yI3YC7rTsvdnrxkkUFtjpb3rzlTTp4d+D1fa/ze+zvoMCcHnOui2IEIUTN+v7k9wCMajiqWoVaqqryzoF32By/Gb1Gz8d9Pr6iQq0yUxk7E3eyLWEbe8/vJb04/bLHuFoaRUOgYyAtPVrS2aczPfx7VCp6/V/utu68dctbjAobxZv73uRc7jmm757OL6d/4YVOL9DKs9U1jL4yTztP7mtxH/e1uI9zOedYH7Oe9THrSchPYGPcRjbGbcReb0+/wH4MCx1GF58u/7lErhBCiBtTrXTWGjp0KKqqsmTJEtzc3ADIzMzk3nvvRaPRsG7dupqeskZdL5X0QgghhLi+3cw5w8187UIIIYSoPskZrpzcOyGEuHyPbHyEvcl7ebbDs9zf8v4qj/k16ldm7JlBM7dm/Dz8Z8v23NJcJvw+gXO553CxdmF61+kMChpUreKoqOwoXtj5AmdzzgIwsuFInu/0fIWludafW8+Lu14E4Jn2zzCx1cRqXdPOxJ08vfVpjKqR5zs+z4QWE6p1nrh5SM5w5a6He3c8/Th3r78bnaJj/W3raeDQ4D/P+fzo53x25DMUFN7t9W61l028ICE/gR8jf2R19GryyvIs23WKjkaujQh1CcXX3hcPWw8crRyx09mh0+hQFAVVVTGqRgxmAwaTAYPZQJmpzPKzyFBGUVkppUYjJtWESTWi0aigGDGpBgoNheSV5ZFVnMX5wvOWDoYXKCh0btCZ0WGjGRg8EL3m4l23DCYD35/8ni+OfWEZZ0DQAB5v8zhhrmGXdU9qk6qqnMw6yYaYDWyI3UBKYYpln5etFyPCRnBb2G0EOAXUYZRCCCEupd4sg2hvb8++ffto1api9fLRo0cJDw+noKCgpqesUddDciaEEEKI69/NnDPczNcuhBBCiOqTnOHKyb0TQojLU2wsJnxpOAazgd9G/Uaoc2iVxz2w4QH+Tv2bye0m80jrR4DyD9KnbJ/ClvgteNt5s2jQogofmueU5HAg5QCnsk6RWZKJVtHi7+hPF58uNHdvjqIolJpKmXdoHj+c/AEVFXcbd17t+ir9gvpZxvnuxHe8//f7ADzX8Tnua3Ffta5t6amlvL3/baw0VqwcuZIgp6ArvU3iBiQ5w5W7Hu7d5C2T2Z64nRENR/DWLW/95/E/Rv7I7AOzAZjWeRr3NLun2nOdyjrF18e/ZmPcRsyqGQAvOy+GBJcvzdfGsw02Opv/HCejoJST5/M4lZLH2bQC4jKLSMopJj2/lFKj+aLn2Vtp8XS0xs/VliB3e0I97PFzN6BYnycqL4I/k/60dDa8ENvElhMZ03jMJZdKTC1MZd7heayJXoNK+cfevQN6c2+ze+ns0/m66khoVs0cSTvCunPr2BC7oUKxXLhvOHc3u5tb/G75z+VyhRBCXFv1pljLzc2NtWvX0r179wrb//zzT4YPH05WVlZNT1mjrofkTAghhBDXv8vNGaZOncobb7yBvb09O3fupHv37uh0tbIqda2TfEkIIYQQ1SE5w5WTeyeEEJdnZ+JOntjyBL72vmy4fUOVH85HZERw17q70CpaNty+AR97HwB+j/mdF3a+gE6jY/HQxbRwbwHAXyl/sShiEX+e34NZNVU5b7BTMPc0u4fRjUZjrbXmSNoRZuyZQUxuDACjw0bzUpeXLMsozjs0j6+OfwXAuCbjeK7jc/9ZHKGqKo9uepS9yXvp6d+Tz/p9dmU3SdyQJGe4cnV9746kHWH87+PRKBpWjVxFiHPIJY9ffmY5s/bOAuDR1o/yZLsnqz3P18e/Znvidsu2cN9w7ml2D919u19yGb5So4mIpFwOxmVzOD6HY4m5JOUUX/R4AI0CdlY6FAXMZpUig4n/+jQ62N2OVv4uhPqUkqvdy46U1WQUZwDg5+DHcx2fo19gv0sWXp3JPsOCIwvYEr/FUrQV7BTMraG3MjRk6HXXuarMVMb2hO2sjFrJnvN7KsT8QMsHGB46/JJFakIIIa6delOsNWHCBA4dOsTXX39N586dAdi/fz8PP/wwHTp04Ntvv63pKWtUXSdnQgghhKgfLjdn0Ov1JCYm4u3tjVarJTk5GS8vr2sQac2TfEkIIYQQ1SE5w5WTeyeEEJfnnQPvsCRyCXc0voPXur1Wab+qqjyy6RH2Je+r0MEmtzSXkatGklmSyeNtH+exNo9RUFbArL2z2BC7wXK+qcQbU3EQqsEFB1uFIJ9cEkuOUGIqAco7wDzW5jFGhY3CrJqZf2Q+30R8g4pKM7dmzOs7Dx97H1RV5euIr/n40MdA+YfyL3d5mW6+3S55fTG5Mdz2220YVSPfDPqGTj6daurWiXpOcoYrV5f3TlVVJvw+gSPpRxgdNprXw1+/5PErzqxg5t6ZANzX/D6e7fjsJQuXVFVlV9IuvjvxHQdSDgDlSwwODh7MxFYTaeLWpMrzistMHIzL5kBMJvtjsjicmI5Rm4zGKh2NPgtFn4tGV4CNTQlW+lI02jJUyjBjxKQaMWPin5ojdBodOo0OW50ddjo77HRO2GndsMYDjcGHgjxvYlMcScgqqRSHozUEh54gXbuOQlN5E5Duvt15pcsr/1l0FZMbw5LIJayJXkORsciyvYlrE3oF9KKnf09aure8ZJHatZaQn8CyU8tYEbWCAkP5ClU+9j483OphRoWNwkprVccRCiHEza3eFGvl5ORw3333sWbNGvT68opfo9HIiBEj+Pbbb3F2dv6PEeqWJLZCCCGEqI7LzRkaNWrE2LFjGThwIH369OHXX3/F1dW1ymN79uxZ0+HWKMmXhBBCCFEdkjNcObl3QghRfaqqMnTlUBILEpnbe26FpQcv2JW4i8e3PI5eo+e3Ub8R4Fj+Yf8ru1/ht+jfCHEOYcXwFRQaCpm48SHOZJ9GVTUYsjtjzA6npVcY9tY6IpJyySsxAhDgrqFvx3j+zPiF1KJUABq5NuKlzi/RyacT+5P38/yO58kuzcbLzovP+n1GU7emAOxJ2sMrf75CenE6AENDhvJCpxdwt3W/6HW+ue9Nlp1eRhvPNvww5IframkvUXckZ7hydXnvtsRt4Zntz2Crs2Xt6LV42V38C52/Rv3KjD0zALin2T282OnFi/7/X2IsYe25tSyJXMLZnLMA6BQdwxsO58GWDxLsHFzheFVViUzOZ/uZNHadyeBgQiJm2zNo7c6htY1DY52Golx8acOr5WTlRCfvboTadkMtasbRhEL+is0i/5/XWZQyrDy2Y+2+ExQjesWKh1o/zMOtJv5n16lCQyGb4zaz7tw6DqQcwPQ/HRJdrF3o2qAr3Xy70d23u6XTYl0rNBSy/Mxyvj3xraWz2IWirdFho6XTlhBC1JF6U6x1wdmzZ4mMjERVVZo3b05YWFhtTVWjJLEVQgghRHVcbs6watUqJk2aRFpaGoqicLE0TFEUTKaql1e4Xki+JIQQQojqkJzhysm9E0KI6juddZo71tyBtdaaneN2Yqe3q7DfrJoZu2Ysp7NPc1/z+3iu03MAbIzdyLM7nkVB4bsh39HCvQX3b3iQ4xlHMRsdKE6YwKjm3Xh2YBP8XGwxq2YS81JYfuQ0P+6PJzPXGtXkQOsAB5o1jmBX+lLyDXkAjGp4O2NDH+NcVjrzTrxIWkk8eo0Nd4dMo7d/HwLd7bC2KmX+kfn8dPonzKoZNxs3ZveYTXff7lVeZ3pROkNXDqXEVMJn/T6jp//1/UUvcW1IznDl6ureGUwGRq8eTVxeHI+0foTJ7SZf9Ni159by8q6XUVG5t9m9vNDphSoLtTKLM/np9E/8fPpnskrKO1HZ6ewY03gM9za/t0IxkqqqHIrPZu2xZDZEpJBSlITeMQKd40k0tvEoSsX3LF2tXQl1CSXAMYAG9g3wsPXAxdoFRytH7PX22OhssNZao9fo0SgaFBRUVEyqCYPJQImphPyyfLJLskktSiUhP4Go7ChOZp6s0PnKzcaNO5vcyV1N7yEu3cye6Ez2RGdwICaLMiUNG5/f0DlElV8bvtzfZAoTOw7ESqf5z3ueXZLNrqRd7EzcyZ6kPeQb8ivsD3UOpbtvd7r7dqeTT6f/XJ62tpWaSll+ZjlfH//aUtTrbefN/S3u57ZGt1X6d04IIUTtqnfFWvWVJLZCCCGEqI4rzRkKCgpwcnLi9OnTF10GUTqRCiGEEOJGIDnDlZN7J4QQ1ffhwQ9ZFLGIvgF9+bjvx5X2b0/YzuStk7HX2/PH7X/gbO1MfF4849aOo8BQwMSWE3mmwzPM2P0mv0YvQzXZYEp8kvdHDaRLIz1rotewK2kXJzJOVCgsAFCNjhgLwjDktcNU4oud9ya0zvsBMJe5U5x4N2aDG7b+i9HZRwNQltWd0rTB+Dg60aepF92bF/HN6Xc4m3MWjaJhRtcZ3N749iqv9YO/P+DbE9/SzK0ZP936Exrlv4sUxI1NcoYrV1f3bvHJxcz5aw7uNu6sHb0WByuHKo/bmbiTp7Y+hUk1Ma7JOKZ3mV6pUCuzOJOFxxeyImoFxcZiAHztfbm72d2MbjQaJ6t/ryujoJSfDsTz89+JJOQloXM6ht7pOFrbxApjNnJpRFffrrT3ak9Lj5Z423nXSic/o9lIREYEW+K3sP7cetKK04DybluPt32ccU3GodPoKDGY2BOdwaaTqWyM+50Sp1VodOVLBVLYiv4+DzCxS2da+lXv/VSj2cix9GPsTd7LnvN7iMiIwKz+2z3MWmtNJ59O9PDrQQ//HpZOjHWhxFjCiqgVfHP8G8v9cbZ2ZkzjMYxpPAZfB986i00IIW4mUqx1jUhiK4QQQojquJqcYceOHYSHh6PT6Woputol+ZIQQtQ/JrPK4fhsErOLcbTR0crPGS+nuv22sLjxSc5w5eTeCSFE9RjNRgYuH0h6cTof9f6I/kH9Kx3z2ObH2J20mwdaPMDUjlMxmA3cs+4eIrMiae/VnoWDFvLLiS3MPvQ8ALq0h/h67D3sz/6FhccXUmYus4ylVbS4WLugopJTmlPhA35TqRdl6QNRTTbY+P6CRp8Lqo4Gxnvw0XQnUVlOumYTAOYyV0pSh2MqaA7AiLae2Pis4ve4NQC8dctbjGg4otK1ZJdkM2TlEAoNhbzX6z0GBw+uuZsp6iXJGa5cXdy7YmMxg1cMJqskixndZjCm8ZgqjzuVdYoJv0+g2FjM8NDhvHnLmxWKM8tMZXx74lu+Pv61pYi0hXsLHmj5AP0C+6HT/PueY0JWEQt2RLP88AlU+2PonI6hs4uz7NcoGjr5dKJ/YH96B/SucklAs2ompTCFc7nnSMhPILkgmbTiNDKLM8ktzaXQUEixsRiD2YBZNaNRNFhprXDQO+Bu6463nTfBTsE0c29GG882OFtXLKwymo1sitvE50c/51zuOQCauTXj9fDXLcvHApjNKn/GJPDBX/OILtkIilq+ZG1ue0K0w5nYtRPD2/hio9dW+79Jbmku+5P3s+f8HnYn7bYsa3tBqHMo4X7h3OJ3Cx29O2Kltar22DWl1FTKb2d/Y1HEIhILyovrNIqGcN9wRoSNoLd/7zrvBiaEEDcyKda6RiSxFUIIIUR1XG3OYDKZWLVqFZGRkSiKQrNmzRg5ciRabfXfTKgrki8JIUT9sv9cJi+sOEZcZsVOEK38nBnepgFDWzXA31WWURA1T3KGKyf3TgghqudC1yxXa1e2jNmCXquvsD+3NJdey3phUk2sGbWGYOdgvon4ho8OfoSztTPLhy/nj4gM3ot4GEVXgHVhb5bcPou5x6ezO2k3AK08WjG84XA6eXciyDkIvaZ8jhJjCcczjrMpbhNrotdQYCjv9NLBsxtT2k/hyxOfsjNxJwC3NbqNaZ2ncTD1IK/vfZ3kwmQAPJQOxJ0ZjNnoSKC7LT267GV1zE/oFB3fDP6Gdl7tKl3zgiMLmH90PoGOgawatcoSj7g5Sc5w5eri3i2JXMI7B97Bz8GPNaPXVPn/b25pLmPXjOV84Xm6NujK/P7zKxx3PP040/+cTkxuDFBepDW53WS6+3av0AEru7CMdzf/xcrTv6NxOIbWLtayxKGCQgfvDgwJGUK/wH6427pXiCG/LJ+DqQc5lHaI4+nHicyKpNBQWCP3QEGhrVdbhoQMYUTDEdjr7S37TGYTK6JW8PGhj8kry0On0fFE2yd4oMUDaDUV3zM9nXmGmX++R0T2PgBUVcGY3xKbot6Mb9eLCd2C8XS0vqzYVFUlKieK3Um72Zm4kyNpRzCpJst+W50tHb070t23O918uxHqHForXccuxmQ2sS1hGz+d+on9Kfst2x30DvQL7MfQkKF0btC5QrGeEEKIqyfFWteIJLZCCCGEqI6ryRnOnj3LsGHDSExMpEmTJqiqypkzZwgICGDdunU0bNiwlqKuGZIvCSFE/XE4Ppu7vtpHicGMs62eFr5OZBWWcTo1n/99R6B5Aye6N3SnaQMnXGz1lBrN5JUYsLPS0i3UXbpwiStyI+UM8+fP57333iM5OZkWLVowd+5cevTo8Z/n/fnnn/Tq1YuWLVty5MiRas93I907IYSoTU9tfYptCduY0HwCz3d6vtL+jbEbeXbHs4S5hPHryF8pMhQxYPkA8sryeLHDa+w6HMyOnI/QOx3D2uzLmtt+4cMjb7AhdgM2Whtmdp/J0JChFT6MV1XV0kXGXm+Pnd6O/LJ8FkUs4rsT31FmLsPF2oW3b3mbE5knmH9kPioqIc4hvBn+JmEuYXxx7Au+P/E9RtWIi5U7hvP3k5LuiZeTno6dfmfX+c342PuwcsRKHK0cK1xToaGQoSuHklWSxStdXmFc03G1fp/F9etGyhlu9HzLYDYwZMUQUotSebXrq4xtMrbSMaqq8uyOZ9kUt4kAxwCWDltaoQvVT6d+Ys5fczCajbjbuPN8p+crvUYVlRXz1o6fWR29GtUmylKgBdDGsw2DgwczIGgA3vbeFeY9lXWKHYk72JW0q9LSgAA6jY4gxyACnQLxc/DD284bd1t3nK2dcdA7YKe3Q6/RoygKqqpSYiqhsKyQjOIMzhee51zOOY5nHCc2L9YypqPekXub38sDLR/AVmdr2Z5RnMGb+95kS/wWANp7teedHu/QwKFBpXt2JO0Inx7+nP0pf1q2mYr9MOd1Z1TYMJ7o3YwAtyv7clJeWR57z+9ld9Ju/kz6k/Ti9Ar7vWy96Orbla4NutLNtxseth5XNM+ViM2NZXX0ataeW2spAAbwsPXg1tBbuaPxHQQ5BV2zeIQQ4kYmxVrXyI2U2AohhBCi9lxNzjB06FBUVWXJkiW4ubkBkJmZyb333otGo2HdunW1EXKNkXxJCCGuTxnFGSw7vYzE/ETaerbl1tCRDPt4L7GZRfRu4slnd7fH3rr8G7YZBaX8HpHC2qPnORCbxaXeHdBrFV4e2owHwkOu0ZWIG8WNkjMsW7aM8ePHM3/+fMLDw/niiy9YuHAhJ0+eJDAw8KLn5ebm0r59e8LCwkhNTb2uPzwUQoj6KKckhz4/98GoGvl1xK+EuYZVOmbOgTksjlzMnU3uZHrX6ayJXsPLu1/G08aX/LPPkmU+iV3g1yhoWDL0R85kn2Lm3pnoNDo+7/85XRp0QVVVTmSeYHPcZg6lHeJs9lnyDfmWObzsvAj3DWdM4zHYW9kzbec0IrMiUVB4qv1TtHBvwfTd00kvTkdBYWyTsUxuN5mUwhRe3Pki0bnR2Ovssc18gpjzbgR7abEJ/JikwkTGNRnHK11fqXRdS08t5e39b+Nu487629Zjp5cuqTerGyVnuBnyrc1xm5myfQruNu78cccfWGsrd33aELuB53c8j07RsXjYYlq4twDKi6nmHZ7HwuMLARgQNIDXur1WoZArrSiNTw9+w2/Rv2JW/u2qHOzQlDua3srAoIEVip1MZhOH0w6zKW4TWxO2klKYUiGWIKcgOnh3oK1nW5q7NyfUJbRGOvmlFKawMXYjv5z5xVK45Wvvy8zuM+nm281ynKqq/Bb9G7P3z6bIWISj3pGXu77MraG3VjluVHYU3534jnXn1mNUDeVjGO0w5nWiT4NRPNevKw09Ha44blVVOZN9hj3n97D3/F4OpR2i1FRa4Zjm7s3pHdCb/oH9CXMJuyZdt8yqmcNph/k95nf+iP2DnNIcy76e/j15tPWjtPZsXetxCCHEjazeFGtFRUXx22+/ERsbi6IohISEMGrUKEJDQ2t6qlpxoyS2QgghhKhdV5Mz2Nvbs2/fPlq1alVh+9GjRwkPD6egoKAmQ61xki8JIcT152j6UZ7Y8gS5pbmWbUF2rYk4NAZPBwe2PNsLJ5uq31jPKChld1QGh+KzOZdeSH6JAWudFkcbHcm5JZxMzgPg3TtaM7ZjwDW5HnFjuFFyhi5dutC+fXsWLFhg2dasWTNGjRrF7NmzL3renXfeSaNGjdBqtaxateq6/vBQCCHqo1+jfmXGnhk0cW3C8hHLqzzm/g33czD1IG/d8hYjGo7g+R3PsyF2A6asfhSl9se10XyMugTubXYvj7R+hGG/DiO/LJ9nOzzL/S3vJyY3hpl7ZnIo7VClsRUUVCp+xNLbvzfPdXqORRGLWBG1AoCBQQN5tsOzfHb0M1ZHrwbAzcaNmd1m0smnE5O3Tubv1L9xt/GgJPZpUrL1dGiSyRnNeygo/DL8F5q4Nakwj8FkYMSqESQWJPJM+2eY2GpiTdxSUQ/dKDnDzZBvPbPtGbbEb+HBlg8ypcOUSvtLjCUMXzWclMIUJrWZxBNtn7Ds+/LYl3xy+BMAnm7/NBNbTrQUAhUaCpl/ZD5LTv6ICSMAqsGVrl6Debnn3YS6BFvGUVWVo+lHWXduHZvjN5NRnGHZZ6uzpVuDbvT070l33+5VdrH6XyazidyyXPJK8ygxlWA0G9EoGmx1trhau+Js7XzJYiWzamZj3EY++PsDUgpTUFCY2GoiT7Z9ssKShwn5CUzbOY1jGceA8kK1l7u8fNEuVjklOayIWsEPJ5aSWZr6z3VrMOa3opvbWKb160MTH8cqz70cpaZSDqcdZu/5vew9v5fIrMgK+xs6N+TWhrcyKmzUNeu4ZTAZ2Jm0kxVnVrA7abfl36jeAb2Z1nkafg5+1yQOIYS40dRGzlDjC9bOnj2bGTNmYDab8fLyQlVV0tPTmTZtGm+//TbPPfdcTU8phBBCCFHvWFtbk5+fX2l7QUEBVlZWdRCREEKI+iy5IJnHNz9OXlkeTd2a0sOvBz+e+pG4omNYezlyf9vnLlqoBeDhYM2odn6Malf5jVtVVflg4xk+3XaWWatP0LuxpyyJKG4qZWVlHDx4kGnTplXYPnDgQPbs2XPR8xYtWkR0dDSLFy/mzTff/M95SktLKS3995v5eXl5Vx60EELcJHYl7QKgb2DfKverqkpUdhQAjV0bA3A47SgApfkhdGySz2lNAjZaGx5u/TDfnfiO/LJ8mrg2YXzz8ZzIOMHDGx8m35CPlcaKfoH9CPcLp7l7c/wc/CzLH57IPMGa6DWsO7eO7Ynb+Tv1b14Pf53m7s2ZfWA2G+M2cib7DO/2fJdRYaN4Y98bxOTG8NS2p5jUZhLz+sxjwoYJnM05S8dWG8neM5yDp91p0z6cc8V/8tHBj/h8wOcVrk2v1fNY28eYvns63574lrua3iXdtUS9dTPkW6WmUvacL7+WwcGDqzxm1dlVpBSm4GPvw8SW/xZg7krcZSnUeqHTC4xvPt6y71DqIZ7d/jwZJWkAGIuCaKgfzqej7ybY/d+CpJTCFFZGrWR19GqSCpIs2x2tHOkT0IcBQQPo2qArNrrKv+sVGYqIzIrkVNYpzmSfITY3lsSCRDKKMyotlfi/7HR2BDsH096rPT38e9DFp0uFIiyNomFw8GB6+vXk/b/f55czv7Dw+EKisqN4t+e7lte0AMcAvhvyHQuPL+Tzo5+zKW4Tf6X8xfOdnmd46PBKBWEuNi5MbDWR+1vcz66kXXx+eBEnsg+hdzrK38ajjPylFV2c7+H5frfQ0s+ZK2WttaZrg/IlEKd0mEJGcQa7EnexNX4re87vITo3mo8PfcxnRz5jcPBgHmz5II1cG13xfNWh1+rpF9iPfoH9iM+LZ+HxhayOXs32hO3sT97PlA5TuLPJndek45cQQohL09TkYNu2beOVV15h+vTpZGRkkJycTEpKiqVYa9q0aezcubMmpxRCCCGEqJduvfVWHnnkEfbv34+qqqiqyr59+5g0aRIjRoyo6/CEEELUI6qq8vq+18kry6Ole0u+G/wdT7V/ije6vQOA3nUvHRoar3h8RVGYOqAxbQNcKCwz8d4fp2sqdCHqhYyMDEwmE97e3hW2e3t7k5KSUuU5UVFRTJs2jSVLlqDTVe+7krNnz8bZ2dnyCAiQLnZCCHEpqqpyMPUgQIVls/5XalEqeWV5aBUtIc4hFBmKSC1KBqCpWxM6tUgEyou97HR2/HzmZwCeaPsExcZintn+DPmGfNp6tmXdbet4t9e7jAwbSSPXRpYiAkcrR7o26Mpbt7zFyhErae3ZmgJDAVO3TyWlMIWvB36Nl50XsXmx3L3+bo5nHOfnW39mQvMJAHx+9HOWnl7KnJ5z0Gl0/J2+i/v6FwNwPKI7GkXLn+f/5FBq5c5eQ0OGEugYSE5pDr+c+aUG764Q19bNkG8dTDlIsbEYL1svmro1rbTfrJpZHLkYgAdaPGApmiooK2DmnpkAjGsyrkKh1uqzq3nwj4lklKRhLnPDeP5BprX5lNUPPmIp1DqSdoSntj7FoBWDWHB0AUkFSdjp7BgeOpzP+n3GjrE7eOuWt+gd0Nsyp8FkYF/yPj74+wPuXHsn3Zd25/4N9/POgXdYGbWSQ2mHSCtKsxRqOegdcLfxwNXKC3utOzpsASgyFnEy8ySLIxfz6KZH6fh9H0Ytfpv3Np5gQ0QKafklANjp7ZjRbQbv9HgHa601OxJ3cP+G+yt0/dJpdExqM4mfbv2JJq5NyCnNYfru6Ty86WHi8+KrvOdajZbeAb35acR3/DL8F7p69wEU9E7HOWiezu3LXmL8op0ciMm60v+sFXjYejC60Wg+6fcJ28dt5/Xur9PaszVGs5G159Zy2+rbmLp9KrG5sTUy338JdArk9fDXWTliJR28O1BsLObt/W/z7I5nKTIU/fcAQgghalWNFmt9/vnnPPTQQ8ycORNXV1fLdjc3N15//XUefPDBCu1LhRBCCCFuVvPmzaNhw4Z069YNGxsbbGxsCA8PJywsjI8//riuwxNCCFGP7E7aze6k3eg1emb3mG354NDe3BJjQRMUxczm81UvC1RdGo3Ca8ObA7DycBLxmfLGrrj5/P9vn6uqWuU30k0mE3fffTezZs2icePG1R7/pZdeIjc31/JISEi46piFEOJGdr7wPFklWeg0Olq4t6jymGPp5UtmhbmEYa21Zm/8GQBUky0f3NGdg6l/AdDLvxc7E3eSX5aPr70vvQJ68cPJH0gpTMHfwZ8F/RfgY+/znzGFuoTy3eDvuK/5fQB8dfwrFkcu5schP9InoA9Gs5GPDn7EU1uf4uFWDzOtc3kXoU8Pf0puaS7jm5UXYRzMW8I9Xfwxl7ljyukIlBd1/X86jY4HWz4IwA8nf8BgNlT7/glxPbqR8619KfsA6O7XvcprOpx2mLi8OOz19owKG2XZ/sPJH0grTiPAMYDnOv67etGaqM1M//MVTKoRQ14rQsteY+1DD3Nf92A0GoX4vHge3/w4438fz7aEbZhVM519OvNOj3fYPm47b/d4m57+PdFryzswl5nK2BK3hed3PE+PZT14eOPDfHviW05knsCkmvCy86JPQB8ebf0o7/R4h+8H/8D7nZcz1v1HnNPmEHv4OeKPTiUl4nmyI18j/9SbFEZPpTjxLsqyO6Ea7TAq2USblvJt3BM8sWI5nd/awuC5O3l3wylOp+QzLHQY3wz6BjcbNyKzIrl3/b2VCrGaujVl6a1Lebr901hrrdmfvJ/bVt/GV8e+uuRrYFO3pnw1eB4rR6ygvWc3FMWElfsuDple5q7Fi7h9wR42nkjBbFYvOsblcLRyZHSj0SwZuoSfhv3EgKABKChsitvEqN9GMXv/bHJLc2tkrv8S6hLKokGLeKHTC+g0OjbFbeK+DfeRVpR2TeYXQghRtRpdBvHAgQP88MMPF90/fvx4JkyYUJNTCiGEEELUSy4uLvz222+cPXuWyMhIVFWlefPmhIWF1XVoQggh6hFVVZl/ZD4Adze9m2DnYMu+mIxCyjJ7oHM4zdpza3m247PY6myveK52ga70bOzJzjPpfLkrmjdHtbra8IWoFzw8PNBqtZW6OqSlpVXq/gCQn5/P33//zeHDh3nyyScBMJvNqKqKTqdj48aN9O1bebkua2trrK2ta+cihBDiBnRhecOGzg2x0lpVecyBlAMAtPNqB8DK4+XFWw5aL0I8rS1jtPNqZ1libGDwQFRVtXTZeqr9UzhYOVjGVFWVv1P/ZlPcJhLyE1BQ8HXwpaN3R3r498Beb89znZ6jsVtjXtvzGpviNpFamMrHfT6ml38v5vw1h73Je5mwYQLfDPqGM9lnWBm1krf2vcU3g77h5zM/cyb7DI/3ziI20509cb1wcPqLvcl7OZF5olJh2vCGw/nk8CekFqWyMXYjw0KH1dQtFuKauRnyraP/LMHawbtDlfs3x20GoF9gP8sXcEqMJSw5tQQofy260Plq5dETvHboZdCoGHM68XiLaTzeJwydtrxHx4ozK5h9YDalplK0ipbhDYfzQMsHCHUOrTTvuZxz/HT6J9adW0de2b/LQrrbuBPuF04332509O6Ij70PZrPKX7FZrD56ng0RKWQWllUYK9TDnpZ+zoR5OeDvaoubvRX21joUIL+0hO1JG9hw/luKrDKxC/qK0rQhnEq5hVMp+czfHk2bABce6RHKd4N/4LHNj5JYkMj438czv998Wnj8+9qn1+h5qNVDDAoaxBv73mBv8l7mHZ7HxriNvHXLW5Zlb6vSyLUR3w39kl2Ju5i1901Si85jF/gtJ3KO88iS4YS6uzPxlhBub++PjV570XEuRwuPFnzY+0OisqP4+NDH7EjcwY+nfmR9zHqebPskdzS+o8LykLVBURTGNx9PK49WPL3taU5lnWL8+vF8OfBLgpyCanVuIYQQVavRYq3U1FSCg4Mvuj8kJOSi7UqFEEIIIW5GYWFhUqAlhBDiiu1O2k1EZgS2OlseaPlAhX1J2cWYikKx03hSaEhne8J2hoQMuar5HuvVkJ1n0vnl70Sm9G+Mu4MUlogbn5WVFR06dGDTpk2MHj3asn3Tpk2MHDmy0vFOTk4cP368wrb58+ezdetWli9fTkhISK3HLIQQN4OkgiSgfJmnqpjMJrbGbwXgFr9bADh4/gzYQ0OXYKJzojGqRpytnfG282Z/8n4Awv3COZp+lIziDJysnOgf2N8yZrGxmBd3vsi2hG2V5lt2ehm2OltGh43moVYPMaLhCBrYN+CZbc9wLOMY438fz4L+C1g8dDGPb36cmNwYntzyJJ/0+4TNcZuJzo3mQMoBxjYey6ITi1h6aglfjv+cCd+YOZHXBr3zYd7ctYCloz6tMK+V1oo7m97JZ0c+Y/HJxVKsJeqlGz3fMqtmIrMiAWjp3rLKY/ae3wtA74Delm07EneQW5pLA/sGDAgcQInBxNvrI/k5bg5652L0hiB+uO092ga4W8755PAnfHnsSwC6+HThla6vVPhSzwURGREsOLqAnYk7Ldu8bL0YGjqU/kH9aeXRCo1SXvx1JjWf73adYvWR8yTlFFuOd7HT07eJF32aetGtoTse//H7YZ8mD/KCYRxv7nuTtefWYu29jr4tbTClD2Pb6XSOJuTwxI+HCPGwZ1Lf91mRNIvIrEge+OMB3u/1Pj39e1YYL8ApgC8GfMHac2uZ89ccTmWd4s61dzK1w1TuaXZPlR3MLujh34M1o1fxyeFPWHxyMXqXg+jtzxF3/g6m/1rIhxvPcG/XIMZ3C/rP66quRq6N+LTfp+xL3secA3M4m3OWN/e/ybIzy3i+4/MXXdK3JrX1asuSoUuYtHkScXlx3Pf7fXw18CsauTaq9bmFEEJUVKPLIJaUlGBlVfU3WAD0ej1lZWUX3S+EEEIIIYQQQojqMZlNlg4QYxuPxd3WvcL+7CIDoKGRXfkb2uvPrb/qObuGutHa35lSo5kf9sVd9XhC1BdTp05l4cKFfPPNN0RGRjJlyhTi4+OZNGkSUL6kzoVu8hqNhpYtW1Z4eHl5YWNjQ8uWLbG3t6/LSxFCiBtGelE6AF52XlXuP5BygPTidJysnOjm243zOcXkGMqX0+rk14zTWacBaOLahKSCJNKK09BpdLT1bMtfKeXLI3Zt0NWyRBjA2/vfZlvCNvQaPbc3up1Z3Wcxs9tM7m02Hl87f4qNxfx46keGrhzGl0cW0d6rPUuGLsHfwZ/EgkTu23AfqqqyaNAiXKxdOJF5gp9O/cQ9ze4BYOmppdzV9C40iob9KftJL0nkh4mdaedcXqxyPGcXz/+6gzKjucK1jmk8Br1GT0RmhGXpRyHqmxs530rMT6TYWIyVxqrKwqnc0lyic6MB6Ojd0bL9QmHo4ODBxGeVMHr+Hn746wg6p/IuXYuGz6lQqLXizApLodbjbR7ny4FfVpovsziTabumcde6u9iZuBMFhT4Bffii/xdsvGMjz3Z8ljaebcgqNLDozxiGf7KbgR/tZMH2aJJyinG01jG2oz8/TOzMX9P78+G4tgxv41vtgiZ7vT1v3/K2ZUnHP9NX0KT5Dva+1Jen+zXCxU5PTEYhL/4cizFxEq3dOlFsLGby1sn8cuaXSuMpisLwhsNZNXIVvfx7YTAbmPPXHJ7d8SxFhqJLxmKrs+WFTi+waPAi/Bz8QJ+NXdBXuAWuJrM4l4+3RBH+zlam/3qcmIzCal1fdXRt0JVfhv/CtM7TcLRyJCo7ikc2PcIjGx8hIiOixua5GH9Hf74b/B1NXJuQWZLJA388cE3mFUIIUVGNFmsBLFy4kHnz5lX5WLhw4RWNOX/+fEJCQrCxsaFDhw7s2rXroseuXLmSAQMG4OnpiZOTE926deOPP/640ssRQgghhBBCCCGuS18e/5LIrEgc9A5MbDWx0v6CUiMALV16AbD7/G5ySnKuak5FUXi4R/nSGT/sjaPEYLqq8YSoL8aNG8fcuXN5/fXXadu2LTt37mT9+vUEBZUvGZKcnEx8fHwdRymEEDeX/LJ8ABytHKvc/+vZXwEYEjIEK60V+2My0dgkA9DGqzknMk8A0MytGX+n/g2Ud7yx0dlwLKO84Km9d3vLeHF5caw6uwoFhS8GfMHM7jPx1/Vm+8FQFq9rw+mDT1AUNxFTUSAlpmI+Ofoh7b4cyws/R9PNdiYB9o3IKsni4Y0PY1SNzOg2A4BvI76ld0BvNIqGQ2mHMJgNhPuGA7A6ejV2VjoWj78NH6sWKIqZ386tYOwXe0nJLbHE5m7rbumguvTU0pq5wUJcYzdyvhWV88+yrS4N0WkqL3p0KusUAH4OfrjauFq2/5VcXjjqqLZkxKe7iUzOw9nzGIqi0sWnC228/10aMDE/kTl/zQHgybZP8ljbxyydsS44kHyA21ffzrpz6wAYHjqcNaPXMK/vPLr7dcesKvxxIoWHvvuLrm9vYdaakxxPykWnUejfzJtP72rH2qmtuC28mAx2s/TUYr6J+IYlkUv4I/YPTmWdwmg2/uf9UBSF+1rcZ3kd/O7kd6yNW8qUAY3Z/WJfnunfCDsrLYfiitm3dzShNr0xq2Ze3/s6Hx/6GFVVK43pYevBJ30/YVrnaeg0OjbFbeLe3++1dGG8lA7eHVg5YiVjGo8BwGC/B58WcwkJOUap0cCS/fH0/WA7jy0+SERS7n+OVx06jY57mt3D+tHrubfZveg0OvYm7+WudXfx+ObHOZp+tEbmuRh3W3e+HvQ1rT1ak1uay8MbH+Zw2uFanVMIIURFNboMYmBgIF999dV/HnM5li1bxjPPPMP8+fMJDw/niy++YMiQIZw8ebLKsXbu3MmAAQN4++23cXFxYdGiRQwfPpz9+/fTrl27y5pbCCGEEEIIIYS43pzLOcfXEV+zOno1AC92frHCG/oXGP7puOBnH0pTt6acyjrFuph1ls4NV2pISx/8XW1JzC7ml4OJjO8adFXjCVFfPP744zz++ONV7vv2228vee7MmTOZOXNmzQclhBA3MZNaXjSuUyp/zFFkKGJbfHlHmpENy7tS7TmXjMY6FYDm7s1ZcHQBAC09W7I9YTsAnXw6oaqqpcNIS49/lyu7cEw33274WLXg/kUH2H463bLfSqfFy7o1moJW5BbvxuT6G9ieIaL0bf7a8xCq+R4cgheSTSKTNj7JipHLaOfVjsNph/kj9g+6+HRhb/JeNsZtZETYCHYl7WJ9zHomt5uMVqPwfLcHeXbHs1i7/M2RqP4M/3Q3X03oSNsAFwDuanoXq6NX80fsHzzf6XncbNxq5D4LcS3dqPlWVHZ5sdbFlpo7k30GgKZuTS3b0ovSSStOQ0HDO6uKMJn0tA90QR+QyMksKi1xv+DoAoqNxXT07sgjrR+pNMfmuM08v+N5jKqRhs4NeeuWt2jhUV7sFZ9ZxJIDcaw4mEhGwb8rJLXxd2ZYGzecPc5wIHUpH5w+RMaRjEteq73eni4+XRjbZCzdfbtfcinCMY3HUGQo4v2/3+fDgx/i6+DLoOBBPNO/MeM6BfDm2kjWHU/m6OFBeAXaUGy/gYXHF5JWlMbM7jPRa/QVxlMUhXua3UML9xZM2T6FqOwo7l53Nx/3+Zi2Xm0vGbed3o4Z3WYwNGQor+97nZjcGAptfqRhOz/siwdx7FQov0ek8HtECn2bejGlf2Na+TtfcszqcLFx4cXOL3JPs3tYcHQBa8+tZVfSLnYl7aKzT2cmtppItwbdLnkfr5SztTNfDfyKJ7c+yV8pf/Hopkf5tO+ndG7QucbnEkIIUVmNFmvFxsbW5HAAfPjhh0ycOJGHHnoIgLlz5/LHH3+wYMECZs+eXen4uXPnVnj+9ttv89tvv7FmzZqLFmuVlpZSWlpqeZ6bW14VnZeXV0NXIYQQQogb0YVcoapvcwkhhBA1LakgiXcOvGP5oBDg8baPMypsVJXHm/7590mrKNze6Hbe2v8Wi08uZmyTsZXe1L4cOq2Gh3uE8trqE3y5M5o7OwWg19Z4424hhBBCiEu60J3GYDZU2vdXyl+UmErwc/CzFFztSziG4qripHfH0crRUhzR2qM1s/eXf9bQzbcbMXkxZJVkYaWxoplbM8uYJzLKO3HZmpoweO5OCstM6LUKd3QIYExHf1r7OaOz5ET9OJo6hqe2PUkWaXg3/g5z0uOkx92PXcg8zhfFc+fyV5nU+V4Opx1m1dlVTGo9ib3Je9mesJ2vBn6Frc6WpIIkTmaepIVHC/oE9sHNxo2skiwC/eOJTwxh3Bd7+XBsW4a1bkBLj5a0dG9JRGYEK6NW8lCrh2rpzgshLteFYq0wl7Aq90fnRFfaf2FZRFOpGyaTntva+TFrVBN6LosEoEuDLpZjc0tzWR9Tvuz9sx2frVTYczD1IC/sfAGjamRw8GBeD38dG60Ne6MzWbjrHFtPp3Hh7U0PB2tub+9H3xbWbEn5iW+iV1N47t8lAHWKDn9Hf/wc/HC2dkan0VFiLCG1KJVzOefIN+SzNWErWxO20tqjNa91f43Gro0vem/ua3EfyYXJLIlcwiu7XyHQMZBm7s1o4GzLZ/e0Z/TJVF5ZFUFKfG90zvbY+f7K6ujVZBZn8mHvD7HT21Uas61XW5YOW8pTW58iMiuSB/94kFndZzG84fCLxnFBR5+OrBixgmWnlvHlsS9JK0kC5RsC23rgbOzJydNN2XoKtp5KY3ALH54b1Jgwr6o7PF4Of0d/3rrlLR5p/QgLjy9kbfRaDqQc4EDKAVq6t+SR1o/QO6B3jRdt2ent+KzfZ0zZNoU/z//JE1ue4JN+n9C1QdcanUcIIURlNVqsVdPKyso4ePAg06ZNq7B94MCB7Nmzp1pjmM1m8vPzcXO7+LdIZs+ezaxZsyptDwgIuLyAhRBCCHFTys/Px9n58r5JFRUVxW+//UZsbCyKohASEsKoUaMIDQ2tpSiFEELUZ0fTj/LY5sfIL8tHo2jo7d+bia0m0tqzdbXOH9FwBAuOLiCxIJEfTv7Agy0fvKp4xnYMYN6WKBKyivntyHnu6OB/VeMJIYQQQlwuJysnoLxI4f87nnEcKO+UpSgKCVlFpJTGYAO09GhGREYEJtWEj70PaUVpZJVk4aB3oK1XW36M/BGAdt7tsNJaWcaMzYsDYO3fRoxlJjoHu/HO7a0I9XSoMr423s1ZMux77ttwH2lFSfTotIHxIbP4+M9STqjvEVu2hdmr2+PcwLV8fqvycY6lH6PUWMotfrewKW4T2xK20cKjBXqNniEhQ1gSuYTOLRMIc+jC1lNpPPHjIaLSGvFU30aMazqOiD8jWH5mOQ+0eACtRltj91sIceUuLHPYxLVJlftjcmMACHEOsWz7PbK8QNRscOeB8GBm3NqcM9lnMKpGHK0c8XPwsxy7LWEbRrORJq5NKnQEBMgry+OFHS9gMBsYEDSAd3q8w/6YbN7/4xCH4nMsx/Vs7Mk9XQLp2diN708uYvLuryk2FgMQ6BjI4JDBhPuG09y9OTY6myqvw2Q2cTr7NGui17AiaiXHMo5x59q7eLjpS/QPHISPsw2ONpW/OPR8x+eJzYvlz6Q/mbJ9Cj8N+wkXGxcA+jf3pkuoG7N/P8WP+6HQ6ISd/xL+PP8nD/4xkfn9P6uyk6CPvQ/fDv6Wl3a9xNaErby8+2UiMiJ4ruNz6LWX/vKSXqPn3ub3cluj2/jp9E8sPrmY9OJ0slmJQyMt7kobEuLasOGEmY0nUxjXKZAp/Rvh5VT1fbkcQU5BvBH+Bo+3eZzvTn7HijMriMiM4KltT9HSvSVTOkyp8c5XtjpbPu77MVO2TWFX0i6e2voUXw38ijaebWp0HiGEEBXVaLHW/v37ycrKYsiQf1tvfv/997z22msUFhYyatQoPvnkE6ytras1XkZGBiaTCW9v7wrbvb29SUlJqdYYH3zwAYWFhYwdO/aix7z00ktMnTrV8txsNpOVlYW7u3uttJW82eXl5REQEEBCQgJOTk51HY4Q1SZ/d0V9JX93a4+qquTn5+Pr63tZ582ePZsZM2ZgNpvx8vJCVVXS09OZNm0ab7/9Ns8999xlxzJ//nzee+89kpOTadGiBXPnzqVHjx4XPb60tJTXX3+dxYsXk5KSgr+/P9OnT+fBB6/uw3shhBA1L60ojae2PkV+WT6tPFrx5i1vEur838W9F36bVVGx09vxdPuneW3Pa3x86GOstdaMazLO0pHictlaaXmoRyhzNpzi061RjGrr+z+dJIQQQgghap+HrQcAGcWVl+RKKkgC/i182HgyFY1V+ZKFjd3COJFZXgTRyqMVOxN3AnCL3y3oNXrWnVsHQN+AvpbxisqMnMmMBwVUoyvP9G/E5L6N0Gou/fmBv6M/n/b9lPG/j2dX0i56+m/hpwkTuG/tfg5l7iRTtwF9elNw3svB1IOEuYRxNucs+1P209O/J5viNvFn0p882e5JAAYFD2JJ5BL2nN/FtnvfZM7vUXzzZwxzN0dxJCGHN0f3wcnKiaSCJPYm7+UWv1uu+P4KIWpGbmku8fnxAJZlB/+/xIJEAAIcy5tIHI7P5ucjEejcoaGbHzNubY6iKJbjghyDKnx+uS95HwC9AnpVGvvzo5+TVpxGkFMQk5q/wkPfHWTbP0u4Wus0jOnoz8RbQgnxsCe9KJ1Jmx/mUNohANp6tuWxto/RtUFXNMrFf98rMZjYG53JvphMDsXlcCa1HXmGQGx8VoLjKT478TofbIzGmN8SDwdrWvk50SXUnX5NvQjzckCr0fJuz3cZt2YciQWJvLT7JT7r95llTkcbPW+PbsWotn68/KsD5+LssA1YxInMCO5YdTffDf2KAKfKDTjs9HZ81OcjPjvyGV8e+5IfT/3I8YzjvNvzXfwd//sLR3Z6Ox5s+SDjm43nj7g/+OX0LxxKO0S6egibgEO44ENOSheW/mVg9ZEkHu8TxsRbQrDRX32hbAOHBkzrPI1HWj/C9ye+58dTPxKRGcHEjRMZEDSAaZ2n4WXnddXzXGCttWZun7lM3jqZPef38OSWJ/lhyA8EOwfX2BxCCCEqqtFirZkzZ9K7d29Lsdbx48eZOHEi999/P82aNeO9997D19f3steM/v8FU6qqVquIaunSpcycOZPffvsNL6+L/4NlbW1dqYDMxcXlsmIUl8/JyUmKBkS9JH93RX0lf3drx+V21Nq2bRuvvPIKr776Kk8//TSurq4AZGVlMXfuXKZNm0bnzp3p2bNntcdctmwZzzzzDPPnzyc8PJwvvviCIUOGcPLkSQIDA6s8Z+zYsaSmpvL1118TFhZGWloaRqPxsq5FCCHEtfHOgXfIKsmiiWsTFg5cWOUyD1X5/782jw4bzbH0Y6yIWsE7B95hUcQihoUOY3TY6Ct6A3ZCtyC+2nWO2Mwifj2cxJiO0p1aCCGEENdOA/sGwL+FWf+r0FC+ZJeDvrxb1eojSSi6PKC828qFLjeNXBuxK3EXAOF+4ZzIOEFkVqSlixVAXomB+xftwmRXAMBHt/VlROuG1Y6zmXszpnSYwjsH3uHjQx/TP6g/L3d/ijvW7ETvFEHx+THYOu9lY8xWRoQNLS/WSt7PI60fAeBk1kkKygpwsHKgtUdrnK2dyS3NJTLrBDOGt6VZA0emr4pg++l0hs/LoV273vyVtZpVZ1dJsZYQ14ELS6gGOgbibF35fUSj2Uh6UXnxlK+DL9mFZTyx5BBmm/LXsQGNG1o+E80szgTAw86jwhgRGREAdPDqUGF7amEqP536CYB29g8wfN5+So1m9FqFuzoH8mSfMEs3qIT8BB7e+DBJBUnY6+2Z3mU6t4beetHPY4vLTGyKTGXN0fPsikqnxGD+f0c4YZU1EZ1uBWW2+7D1XUZBjDcZBZ5sO53OttPpvPP7KZr6OHJbez/GdAhgbp+53LP+HnYn7ebbE99W6gjdOcSN9U/14Pu9AXy80x6z15ekk8StK8bxcOM3ebhLL6x1FQulNIqGye0m08qjFS/vfpnjGccZs2YMr3R9hWGhw6q8tv9Pr9Vza+it3Bp6K9E50Sw/s5xVZ1dRYEjBxuc3HLx2kp88kPf+MPLTX/G8Mqw5A5t710hDEDcbN57p8Azjm4/n86Of8/OZn9kUt4n9yft5vfvr9Avqd9VzXGClteKj3h8x8Y+JRGRG8PS2p1k6bGm134MQQghxeWr0a69HjhyhX79//1H46aef6NKlC1999RVTp05l3rx5/Pzzz9Uez8PDA61WW6mLVlpaWqVuW//fsmXLmDhxIj///DP9+/e/vAsRQgghhKgln3/+OQ899BAzZ860FGoBuLm58frrr/Pggw+yYMGCyxrzww8/ZOLEiTz00EM0a9aMuXPnEhAQcNFxNmzYwI4dO1i/fj39+/cnODiYzp07071796u6NiGEEDXvZOZJNsVtQqNoeOuWty7rTVJVrfhcURRmdJvBtM7TcLNxI7UolW8ivmH4quFM3jKZs9lnLys2e2sdj/Ys7/D1ydazGEz//815IYQQQojaE+hU/uWk+Px41P+X+FzoHmo0GzlxPpejiblotCVA+fKJyYXJAHjbeROZGQlAR++O/HLmFwAGBA3A1caV3GID4xfu50hqFACOeufLKtS64K6md9HcvTkFhgK+PPYlTdya0N6rPShmmviVoZqsyDdmk5Zdnuv9lfIXPvY++Dv4Y1bNHE0/CoBWoy0/DziSdgSAMR0DWP1kOM0aOJFdZGD7wSAAtsZvo8hQdNmxCiFqVmRW+WtMM/dmVe7PKslCRUWraHGxcuGllcc5n1uCo50JAAcre8ux+WX5wL/LwAKUmkqJzyvv3NXYrXGFsX86/RMGswFHGvHDVhtKjWa6N3RnwzM9eX1kS0uhVkphChP/mEhSQRKBjoH8fOvPDG84vMpio7Np+by6KoLOb2/mqaWH2XQylRKDGT8XW8Z1DOC9O1qz/qkenHpjMEdnDObAI5/TpUEX0Bjof8teVj7enVdvbU7Pxp5YaTWcSsnn7fWn6PbOFr7dXsZDzacA8MmhTziefrzS/FY6DQ/1CGXnM+O4rcE7qKW+mDX5fH7mObrOncfb6yM5eT6v0r8LvQN6s3z4ctp6tqXAUMC0XdOYvnv6Zb9ONnRpyIudX2TLmC283OVlvO28MWqysfVbhkvQMhJycnj0h4NM+OYAUan5lzX2pbjbujO963R+vvVnmrs3J68sj2e2P8P8I/MrXevVsNPb8Um/T/Cy9eJc7jneOfBOjY0thBCiohot1srOzq5QRLVjxw4GDx5sed6pUycSEhKqPZ6VlRUdOnRg06ZNFbZv2rTpkh8mLl26lPvvv58ff/yRYcOqVxUthBBCCHEtHDhwgPHjx190//jx49m3b1+1xysrK+PgwYMMHDiwwvaBAweyZ8+eKs9ZvXo1HTt25N1338XPz4/GjRvz3HPPUVxcfNF5SktLycvLq/AQQghR+76J+AaAISFDaOLW5LLOvVA8pf+f5Qk1ioZ7mt3Dpjs28UGvD+jp3xMFhe2J2xmzZgzfnfjust7oHd8tCA8HK+KzivjtyPnLik8IIYQQ4moEOAagVbQUGgpJL06vsM/F2gWAzJJMvtsTC4CbQ3kBl16jtxQ8GM1GjKoRe7093nbebIzbCMDtjW4nt8jAvQv3czQxF0enNACauV86H9tzfg8Tfp9A35/7MnnLZM5knwHKc7CpHaYCsPzMcjKKMxgVNqo8HudjeFu1BGBtRDSgEJsXS3pROu282gFwJP2IZY5WHq2AfwtAAJr6OLH6yXBeHtoUOzUQc5kbBnMZT61aRnGZqVr3UwhRO6JzogFo7Nq4yv05pTlAeQHW7xFpbDiRgl6r0D7IESjvdnRBmakMAButjWVbUkESKip2Ojvcbdwt282qmd/OrgEgLbEzVloNr49swZKHutDQ08FyXLGxmMlbJ5NcmEywUzDfDfnOUgz7vw7EZHHfNwfo/+FOftgXR36JEX9XW57o05D1T/Vg94t9mHNHa8Z0DKC5r5NlKUCtRstrXV9Dp+jYl7wHK7skJt4SwvcPduav6f15c1RLWvg6UWIws/RAPO/+4oynpjNG1ciLu168aDGVq70Vb9wazu9jl+Jv3RZFY8DgsYhFxxczdN4u+n24gw82nuZYYg5mc/nvuL4OviwavIjH2jyGRtGwOno1d6+7m9jc2Iv/B7wIO70ddzW9i3W3rWNyu8noFB0muyM0avULVjozu6IyGPzxLmatOUFukeGyx7+YJm5NWDxkMeObl7+/vODoAuYemltj40P5MsPv9HwHBYVfz/7KnvNVv8cshBDi6tRosZa3tzcxMTFA+QeHhw4dolu3bpb9+fn56PX6yxpz6tSpLFy4kG+++YbIyEimTJlCfHw8kyZNAuCll15iwoQJluOXLl3KhAkT+OCDD+jatSspKSmkpKSQm5tbA1coaoK1tTWvvfZapaUnhbjeyd9dUV/J393rS2pqKsHBwRfdHxISUqmr6KVkZGRgMpkqdR319va+6Djnzp1j9+7dRERE8OuvvzJ37lyWL1/OE088cdF5Zs+ejbOzs+URECBLXQkhRG1LKUxhc9xmAB5o8cBln39hGQprXeVf/a20VgwMHshn/T7jt1G/0TugN0bVyPt/v897f79X7YItOysdD/Uo76712bazmMw1941eIYQQQohLsdJa4efgB0BMbkyFfb4OvgBEZ8ex6nB5QXmAS3nhQ6mpFJO5vICpoKx8aUNvO29OZp0kvywfZ2tnGjm3Zvw3+zmelIubvRW3tCz/wtKFQqmq7Evex+ObH+dw2mHSi9PZnride9bdy6HU8q5YnX0608azDQazgZ9O/US/oH7oNDqic6MZ3bwTAFq7WEwlPgDsiN9HK8/y+S4scQblXV2quma9VsMjPRuy9dneBNmWd9/albiPUZ/9SXymdNgSoq4k5Jc3saiqAAqwFCPZ6ux4fe1JAB7vHYaLbXmRlsK/3a1Mavlrl0b593e8tKLyYlIfe58KnbC2xRwivTgV1WSFC21Y8Vh3JnQLrnCMqqrM2juLU1mncLNx44sBX+Bh+/+WWEzK5d6F+xn7xV52nElHUWBQC28WT+zCzuf78PygpjT3dbrkkn8BTgGWpWVXRK2wbHe203Nv1yDWTr6Fnx/tRt+mXphVhXORQzAbnEnIT2Dm7kt3dgpwcWP12G8YHXYbiqJi47MaW+8NnEsv4JOtZxnx6Z90nb2Fl1YeZ9upNIwmhcfbPs7XA7/G09aT6Nxoxv8+nmPpxy45z8VYa615pPUjLBq8CDudHSllEdw/NJoBzb0xmVUW/RlLr/e38fXuGMqMNdONWq/V80KnF3i5y8tA+Ze8LnSGrCmdfDpxd7O7AXjvr/9j777Do6jaPo5/Z2t676SRBBJCJ6H3JkUQpYiCYgEVwYIoigV776CCijRRRJEqVVroEDqB9EZ6733b+8eYhZgEAuLj8z6ez3XlIuyemTm7IcvuzO/c90fm/zcFQRCEW+eWhrVGjhzJ/PnzOXToEC+++CJWVlb079/ffP+FCxcIDLyxEsGTJ0/m888/580336RLly4cPHiQ7du34+cnl/LNzs4mLS3NPP6bb75Br9cze/ZsPD09zV9PP/30rXmQwl+m1Wp5/fXXRWhA+H9H/NsV/r8S/3b/u9TU1KDRaJq9X61WU1dXd8P7/fMJEZPJ1OxJEqPRiCRJ/Pjjj/To0YPRo0fz6aefsnLlymara7344ouUlpaav26kWqogCIJwc36J+wWDyUC4e/gNV9UCKK2WV+/aW1570VRr+9YsGryIeeHzAFgdvZpVl1a1+Dj39/LD3lJNSkElu6Nzb3iegiAIgiAIN8vHVl5IlFXRsMJnoL18HeJ0dix1BiNhfo60sncC5DZi9ZVqqvRySEKr1JJQLLc6DHXqwGOrz3IhQw5q/TCjO9ElpwDo5dWryXmYTCbePv42BpMBe2MYNWkz0VcGUGOoZtpvTzJtxSF+j87lvnZyJZT1CeuxUlnRw6MHAHVG+TyA1iYdU7V87ePdfduhVn58lwoumcP09QG1+laOf+ZmZ8GsPkPl/VlnE5dbzvglR4nNERWyBeGfkFslf0bytPZs8v76almVNZBfXktrF2tmDQ5EoZAv4dYHtODK+T8TVxbJ1FfmcrRwvHLMshrm7/gVAI0uhI2PD6Sjt32jY+9M3cm25G0oJSUfD/zYHHQFKKvR8fLGKMZ+eZjDiQWolRJTe/oS8dwgvrk/nH5tXFAomg9o/dntAXInpMOZhxvdJ0kSPVo7sfzB7mx7qh/DQ/ypyZoEwI60jTy2bg15ZTXN7lutUPNGn9d5qutTAKicIhje7zgjQt2x0ijJK6/lp8g0Hlp5krC3dvPkT2cpKPBm9aif6ODcgZLaEmbunklicWKLH8+fdXHrwht93wBgc8pPLJ7amdXTexDsbktJlY63tkYz9NMINp3NNFf6+qvuDbnX/Jg/iPyAjPKMW7Lfeo93fhxbjS2JJYlsT9l+S/ctCIIggOpW7uztt99m/PjxDBw4EBsbG1atWtXgYuTy5csbtehpiVmzZjFr1qwm71u5cmWDv0dERNzw/gVBEARBEP6TvvvuO2xsbJq8r7y8/Ib25eLiglKpbFRFKy8vr1G1rXqenp60atUKe/srJ2natWuHyWQiIyODNm3aNNpGq9WKwJ8gCMJ/ULW+ml/j5ZPr9atZb1RBRS0ATtbNh4TrSZLEtPbTUCqUvB/5Pp+f+Zwenj0IdQ697rbWWhX39fLlq/1JLD2UzMgOHjc1X0EQBEEQhBvlZuUG0KgNYohTCAAlunSQdDw6IIDTFXJYq7CmEDutHSBX2QKoMdRQWit350jKgaSUImy1Kr5/uAd61WUKqguwUlnRza1bk/NYf+kol8suYzJoyEi8A4xarJmOQfsRkrqY47m/cXD1QII9LLFxdaCguoCjWUcZ4D2Ao1lHiSmKwdXSlfzqfO4Na8+65OPUKBN56edC7IJVFNcWk1WZRSubVuaqNyW1JeiNelSKxpd5Wtu1BsDZvpJWnnbEZJdx33cnWP94H/ycrf/Scy4Iwo2pf21x1Do2eb8RudpSSZUcynppdDu0KiVqhbzoRme80kJPKcmtBa8OcNW3dbVVy9UDCytqmfrdCSq0iaiAR7oPx8fJqtFxK+oqeD9Srlr1WKfH6O7R3Xzf0aQC5v58npw/AlJ3dPZi3ojgJvfTUp1dOwNyBemyujLsNHZNjmvvZc/SaeFEZbThqd0pFCj2crjkGwZ+bMuDfdowc0Ag9laNFyRJksQjnR7B0cKRN469wfHCzTzdzZ+F9z7E8eRC9sTksic6j5yyGn47n8Vv57Owt1QztstzGBw/I6b4PM8eeJZ1Y9c1aD15I27zu403NW9SXldOYkki/du0Y9tTzqw7ncGnu+NJL6pmzs/nWBKRxJxhbRjR3uOGAm9Nmd5xOsezjxOZE8kXZ7/ggwEf/KX9Xc1ea8/DHR5m4ZmFLI1ayu0Btzeo6iYIgiD8Nbc0rOXq6sqhQ4coLS3FxsYGpVLZ4P5169Y1e2FSEARBEATh38DX15elS5ded0xLaTQawsLC2L17N3fddZf59t27dzNu3Lgmt+nbty/r1q2joqLC/N4sPj4ehUKBt7d3i48tCIIg/H02J26muLaYVjatGOwz+Ia3r9Mbyf8jrOVpb9ni7aaETOF07ml2X97N+5Hvs2rkqmu2s6j3QB9/vj2YzOnLxURllDa5alsQBEEQBOFWs9XI4YT6dob1PKw9sFY6UGkowdOtkGHt3Em/JAe78qrycLV0BaBWL79fKqguMAcjMksqUCslvpkWRodW9iw5fwSAvq36NrqAX1Gr5/0dMfwctxULDzBVBzGzfyhTevji62zFpgQjC44uwNEzkqrKwcTlVKM1haJxOsrG+G080e1RAM7lnaO/d392X96N3R9ZCKVFLibq0NW4orTI5mzORVoFtWoQcKjUVWKvbfy+q35Mpb6cTY/0Ysp3x7mUVcaMVafY/ERfrDS39NKQIAjXUK2Xq9hbqpr+XKb4owmSESNdfR0Y1k5+rdIq5UWT9aFSwBzO1BmuBLjqX8csVZaUVNVx/7JIEvMqsGubiwno7d2lyeOuil5FUU0R/nb+zOg4Q56D0cRX+xP5dE88JhP4O1vx7viO9Al0aXIfzTGZTKQWVpFaUElOWQ21OgMKhYRWYUWtsYrM0nzsXJsOa9Xr6G3PtvveZcSvt1NCAXU2h1gSoeCH45eZ0S+Ah/v5Y2vROLQ1se1EdEYd7554l0VnFtHToyeDgjsyKNiNt8aZOJdewvaobH47n01OWQ0/HMsB5R04tkkhuTSZX+N/vekFU/UVEOFKq0qVUsG9PXwZ18WLFUdS+fpAEnG55Tz+4xlCPGx5amgbRv6F0JZCUvBs+LNM3jqZXam7eKHHCzhZON3UvppyT/A9LI9aTkppCgczDjLIZ9At27cgCMK/3d8Sf7W3t28U1AJwcnK6ZtsfQRAEQRCE/3WpqamkpKRc9+tGzJ07l++++47ly5cTExPDM888Q1paGjNnzgTkFobTpk0zj58yZQrOzs489NBDREdHc/DgQebNm8fDDz+MpWXLL+gLgiAIfw+dQceKiysAuD/0/iarJVxPWlElJhNYa5S42LT8c7gkSbzQ/QUslBaczTvLkawjLdrOzdaC0R3lth4rjt7Y/2OCIAiCIAg3q/5iuNFkbHC7JElIdfJCqM6BZSgVkrkFWVZFlrmVYHldORIS5XXlpOTL4QeFpoh37roSTogvigegq1vXBsdIzKtg7BeH+eF4Ggp1CQCTu3Rl/qgQfJ3lxNXogNHYaeyoMhay6CEHpvdrjamiIwC7UyM4FivhoHWgxlCDh5VcnTSxJBE/Oz/AxKwRKqRaeVHVB/v3UF6jQ61Uo5Lk94c1+qbbgtVX3VFKSuyt1Cx/sDtutloS8ip4Z1vMDT3HgiD8NVe3LGyK0Si/jkmSgccHBpoXy1goLQCo1lWbx9YHuOpbp8KV33e9EaYsPUF0dhnONkpQyhW9vG0bL8w0GA38EvcLAE90fQK1Uk2NzsCTa8/yyW45qHV3uDfbn+7f4qBWnd7Irks5zF5zhvC39zD44wgeWnmSFzdE8fpv0by6+SI1evl19vYvjjB64SHe3xHLxczSBiGnq1mprZgbLrf5c/U+QbCHFeU1ej7bE0+/D/azaG8C5TW6RtvdG3IvYwLGYMLEZ2c+M98uSRJdfR15+fZQjswfwsqHujOsnTuS0ZqK3EEALDyxlvjcG+t8UO9I1hHK68qxVdsSYB/Q8LFoVMweHMTh54fw1NA22GpVxOaUM+vHM4xedIidF7ObfR6uJ9Q5lGDHYAwmA5HZkTe1j+bYaGyYGDwRgGVRy256joIgCEJjolahIAiCIAjC/3OTJ0/m888/580336RLly4cPHiQ7du34+fnB0B2djZpaWnm8TY2NuzevZuSkhLCw8OZOnUqY8eOZdGiRf/UQxAEQRCu8lvyb2RVZuFi6cKENhNuah/xuXJ1iSA3mxZVxrqau7U7dwffDcgnY1vqwT7+AGy9kE1hRe21BwuCIAiCINwC9e2/rDUNW/sVVNRSWOQOgMoqA8Ac0EovTzdfRE8tS6W1vdwy8NdT6QCoLbMZ09nZvK/6qjg26itdQ2Jzypj09VFSCirxsrdgWHu5iomLdcNKMRqlxlyF5HT+ERaMCWXT9KkoTBZIyipe3bkbY40cpKgP6EcXRpvbhVnaZfBQ9/7yY6pL5vEfzqAzGFEr5WoydYY6mlJUUwRgrrrlbmfB55O7APDjiTROXy5ucjtBEG69pipkXS0yWf7splTWMaydu/l2a7X8ulalrzLfZqH6I8ClvxLgqm+NeDAhl+jsMlxsNCx7sJM5JNZUu8G44jiKaoqwUdswxHcIhRW1TFl6nG0XslErJd4f35EPJ3ZuURW+ilo9iyMS6fP+Xh5bfZptF7IprKxDq1IQ4mHL0BA3bu/kyeBQCySFDkwSRp0d0dllfH0giTFfHGbk54f48cRlanSGRvsfEzgGB60D5boi3plsyxf3diXA1ZrSah2f7o6nz/v7+HhXHMWVDV8Pn+72NApJwcmck+RW5jbar1IhMSjYje8eCCfiuUGMChgCQCVpjFoYwZu/RVNZq7/u469Xqavkw5MfAjC+zXjz6/Sf2VupmTu8LYdfaBjamvnDGcZ9dYQjiQUtPubVgp2CAcioyLip7a/l/nb3o1VqOZd/jmPZx275/gVBEP6tRFhLEAThHxYREYEkSZSUlPzTUxEE4T/gxIkT7Nixo8Ft33//Pa1bt8bNzY1HH32U2tobv8A9a9YsUlNTqa2t5fTp0wwYMMB838qVK4mIiGgwPiQkhN27d1NVVUV6ejqffPKJqKolCILwX0Bn1PHthW8BeLD9g+aT8TfqQoa8ijrU6+baEd4fej8KScGp3FMklyS3aJsuPg509ranTm9kzYm0628gCIIgCILwF6WVy+856oNY9Y4kFmCokitrJZZeAsDfzh+A3KpcfG3l+xJKEujk0gWAOmUWaqMLRvQczjxs3peXjRcA8cVyha3cshoeWB5JcZWOzt72/PZkP3wd5TBEjaFxpas+Xn0AOJ17GoBQL0d6twoDQGOdQUGRIwAphXLAKr86n0D7QAAuFV5ieFA3AJQW2RxOLODDnbHmdoxXV9e5Wv3F+quflz5BLkwK+6NK187YJrcTBOHWs9fIn8lK60qbvH9/tBzWkpTVXL3OxkYjB0TrQ6lwJTR6devX8mr5Um9lXRWe9hasfbQ3bd0dzPfrjY0DR5fLLgPQ1rEtqfk13Ln4CGfSSrC3VLN6ek/u6eF73cdlNJr45WQ6gz7az4c74yioqMPVVsujAwL4dWZvol4fwc45A1j2YHe+mtKNMb3++Izq0o7Il0by2eTO3N7RE41KQVxuOS9vvEjf9/ex9GByg9CWWqGmo4tckTClPIWxnb3Y/cxAFt3blSA3G8pr9Hy5P5G+H+zjnW3R5JXJr8Me1h7mYG5iSeI1H4ufszUf3tUXkCucGdCx/EgKIxce5GjS9cNTJpOJBUcWcLnsMu5W7jzS6ZHrblMf2jr0wmCeGByElUbJhYxSpn53godXniQx78aqe9VXWJO4uXaK1+Jq5cqktpMA+PLsl6K6liAIwi0iwlpCi7z++uty6eirvjw8PK65jb+/P59//nmT++rSpYt5zJ/3e/XXoEGDGo2zsrKiQ4cOfPPNN7f4UQr/K3JycnjyyScJCAhAq9Xi4+PD2LFj2bt37y07xqBBg5gzZ84t258g/FX1r5HHjx9vcHttbS3Ozs5IkmQO6/Tq1YvHH3+8wbglS5YgSRLLljWsnjF9+nT69Onzt8793+b111/nwoUL5r9HRUUxffp0hg0bxvz58/ntt9947733/sEZCoIgCP+kHSk7yKzIxMnCyVzd6macS5erJXT2vrmwloe1BwNaycHfTUmbWrSNJEk81FeuTLH6+GVq9Y1XRQuCIAiCINwqeqOeSwVyECvYMbjBfWfTSjD8UbEqsyKTopoiHCwccLKQK2DpjDpsNbbUGmpJzpIXLmnsYpgQcjsAP8f9bN5XXy/5Av72lO2U1lTy+A+nyS2rpY2bDd8/3BNnGy2uVq4ATVZvaefcDoCk0iTzBe5Q51AARnUz4aKVw2B7EhKwUcoVvey0cvgrviieNg5tAJBU5UjKSpYeSkEyyWGtpsJhIFcPA/Cx9Wlw+9zb2qJRKohMKRLVtQThP8TFSm4j2NTrQ25ZDWdT5TZ+RvRU6K6EsBy0DgCU1JY0e9up1CIW78kBwMKiknUzexPkZoOlytLcRjG/Or/RceuDPWXVJu5afJT0omp8naxY/3gfegU4Nxr/Z0n5FUz65hjPr79AQUUdrV2s+fTuzhydP4SXRrcj3N8JjerKJWiTyWR+XR3uNxw3Wwvu6urNV1O7cfLlYbw6JhRvR0sKK+t4Z3sMgz6KYP3pDIxG+TWzPuhmqZJfr5UKiTs6e/H7nAF8fV83Qj3tqKozsPRQCv0+3M/rWy6RXVptrmqmMzZulfhn9c+9hMSKB/rQysGS9KJqpn53gne3xzRZ9ave6ujV7L68G7VCzccDPzZXNWwJBysNz40I5uDzg3mwjz8qhcS+2DxGfn6Id7ZFN9nm8c/0Rj1ncs8AEOgQ2OJj34jpHadjqbIkqiCKfen7/pZjCIIg/NuIsJbQYu3btyc7O9v8FRUV9Zf3efLkSfP+1q9fD0BcXJz5tg0bNpjHvvnmm2RnZ3PhwgXuvPNOZs6cyc8//9zcroV/qdTUVMLCwti3bx8ffvghUVFR7Ny5k8GDBzN79uz/6FxMJhN6fcvL5ArCX+Xj48OKFSsa3LZx40ZsbGwa3DZ48GD279/f4LaIiAh8fHyavH3w4MF/z4T/pc6dO8fQoUPNf1+7di09e/Zk6dKlzJ07l0WLFvHLL7/8gzMUBEEQ/ikmk4nlUcsBmBY6zXwi+kbV6AycTSsBINzf8abnc0fQHQDsTNnZ4pWzozt64mFnQV55LZvOZt70sQVBEARBEK4nrjiOKn0VtmpbghyCGtwXk10GRktctHJYKSpfPpfdxlEOPiWUJBDmJle3Onk5D5PBAlQldHUPRSWpiMyJJDI7EoABPgNoZdOKopoiHtn0OWfSSrC1ULF0Wjj2VnKbq/rqLXFFcY3mWV/dqlpfTblOrpTiZ+cHQIUhl1dG9QTkMFZJuXwOR0Jua5ZfnY/epDfvY3Q3+ZJOaaVcOaWyrrLJ5ya/Sg5nuFu7N7jd096SO7rI4TBRCVUQ/jPqQ5P1Icqr7YvNA5MGhckKgJzKHPN9zhZyaKqg+kplJxfLP4JfVbkcTSrg/mWRVFbJwSALq2JaOcifISVJMrd4bep1yVHtBkB8URIVtTp6tnZi0+y+BLnZNBp7NaPRxNKDyYxaeIjTl4ux1ih55fZ27JozgPHdvFErm77svCdtDzFFMViqLBnfZnyD++wt1TzcrzURzw3iwwmdaOVgSU5ZDc+uO8/4JUf59dJBLuRfQCEpzK/b9RQKiZEdPNn2VD9WPNSdcD9H6vRGVh5NZdBH+0goSgXkxUjXk1KaAsjVFAcHe7DrmQHc28MHkwm+PZjMnV8dITanrNF2F/Iv8NnpzwB4Lvw5urh1ue6xmuJio+X1O9rz+zMDGNbODb3RxNJDKQz79AA7orKv+Zn8x5gfya7MxlHrSA+PHjd1/OvOz9KF+9rdB8jVtYwm499yHEEQhH8TEdYSWkylUuHh4WH+cnV1/cv7dHV1Ne/PyUle1eTm5tboNgBbW1s8PDwICgri7bffpk2bNmzatOkvz0H43zJr1iwkSSIyMpKJEyfStm1b2rdvz9y5c80Vh9LS0hg3bhw2NjbY2dlx9913k5t7ZVVLffW31atX4+/vj729Pffccw/l5fLJlAcffJADBw6wcOFCczWj1NRUczvDXbt2ER4ejlar5dChQ9TW1vLUU0/h5uaGhYUF/fr14+TJk//I8yP8/7Vz50769euHg4MDzs7OjBkzhqSkpAZjHnjgAdauXUt1dbX5tuXLl/PAAw80GDd48GBzMLbegQMHePHFFxu0yktPTyc5OVmEtW6x4uJi3N2vnCw9cOAAI0eONP+9e/fupKc3PnkjCIIg/O87lnWMpNIkrNXWf6mq1tm0Emr1RlxstAS6Xvtk+7X0b9UfK5UV2ZXZXCy42KJtNCoF0/vJFwUWRyShM4gTuIIgCIIg/D0u5MtVqzu5dUKpUDa4L62oCoAQx/by2AJ5bKiTXNHqYsFFenv1BkBpk4CPRq6etSt1FxPbTgTgnRPvUGuoRa1QM7uLvAg0umoDCnUZn0/ugr+Ltfl4nVw7AXL1rKvDFgDFFVeqsWy9kEFOaQ2ulvK59cKaQlyt5HC9i50R9HJFre+OxOJsIYcy0svT8bf3B6BfqJG27jbodXIgo7i26epY9RW3rFRWje67p7scHNl5MfualWIEQbg16sOc9a1Ur3YwXg5WOmrkMNHVgS43KzlQdXVFrvrgZnldOQ+tOkC1zkAfvxCUkooKXQVZlVnmsfWhoRPZJxocc3d0LvN+LMJkVKNQlzG+j54fZ/TEyVpzzceRWlDJPd8e553tMdTpjQxo68rvcwcyo39Agypaf1ZWV8YHkR8AcH/o/eYKh3+mUiq4u7sPe58dyAsjQ7DRqriQF81rx18AYJT/WDxtPJvcVpIkBge7sW5mb9bM6EkPfyd0qnTqTJVg1HI2UXPdBUj1lRpDnEIAsNGqeG98J76bFo6ztYbYnHLGfnGYRXsTzJ9zjSYjbx9/G71Jz0j/kdwbcu81j9ESAa42fPdAd1Y82B0/Zytyy2p5/MczTF91isyS6kbjd6TsMIfFnuj6BFbqxq/7t8qDHR7ERm1DYkkiBzMO/m3HEQRB+LcQYS2hxRISEvDy8qJ169bcc889JCcn/6PzsbCwQKe7fvlP4d+jqKiInTt3Mnv2bKytrRvd7+DggMlk4s4776SoqIgDBw6we/dukpKSmDx5coOxSUlJbNq0ia1bt7J161YOHDjA+++/D8DChQvp3bs3jzzyiLkKnI/PlZLizz//PO+99x4xMTF06tSJ559/nvXr17Nq1SrOnDlDUFAQI0aMoKio6O99QoT/KZWVlcydO5eTJ0+yd+9eFAoFd911F0bjlQugYWFhtG7d2lypMD09nYMHD3L//fc32Fffvn1Rq9XmYFZ0dDTV1dU8/PDDlJWVkZCQAMD+/fvRaDSiDeIt5u7uTkqKvFKrrq6OM2fO0Lt3b/P95eXlqNXqf2p6giAIwj/op7ifABgXOA5bje1N7yciPg+AAW1ckCTppvdjobKgX6t+AOxP33+d0VdM6emLi42Gy4VV/HJKBJAFQRAEQfh7JJXIi9hCHEMa3G4ymcgvrwWgi5scoqoPnteHqs7mncVF0RUApeVlnuk9CZDf84xuPRpnC2eSS5P5+OTHmEwmMtJDMFT7ICnrCO9ygqHtGlascrJwoqubvL/NiZsBKK6sY9668/T7ZOMf81Lw0q+J9HpvLx/ulM8LVOmqsFDJrcosNEb6B8rnGJMK86mskkP3OZU5+NnKlbiyKzP4fHJXMMihru3RjSvmAOb2Z9X6xhf2w/wc8bK3oLLOwLGkwmaeXUEQbpV2TnIr1OjC6Aa3G40mjv7xO9jGUQ50JZdeue7mZSNXwSvXlVNSUwKAldoKJ60c5NQpcxkc7Mp39/ei7R9VA+tDrECDz3IGo4HEvHIeWhHJI9+fIqvEgKamGwCl2t9QKpr/3Kg3GPnuUDIjFx4kMrUIK42S98Z3ZNVD3c2VvJpjMpl489ib5Fbl4mPrw4yOM645HsBCreTxQYG8eo8Ou4BvUagqMNR4EnG0N3uiG7eSvJokSfQJcuHnx3oxomeG/DyVB/PihhimfneCjOKqZrc9n38egI4uHRvcPizUnZ1zBjCsnTs6g4lPd8dz+6JDHE0sICI9gpiiGKzV1rzY88W/9Pn7zwaHuLFrzgCeHBKEWim3Rrzt0wOsOJKCwWiizlDHp6c+5fmDz2MwGRgXOI5JbSfdsuM3xU5jZz7Guvh1f+uxBEEQ/g1EWEtokZ49e/L999+za9culi5dSk5ODn369KGw8Nof5l544QVsbGwafL377rt/aS56vZ6VK1cSFRXVoI2UICQmJmIymQgJCWl2zJ49e7hw4QJr1qwhLCyMnj17snr1ag4cONCg2pXRaGTlypV06NCB/v37c//997N3714A7O3t0Wg0WFlZmavAKZVXVu+9+eabDB8+nMDAQCwsLFiyZAkfffQRo0aNIjQ0lKVLl2JpacmyZcv+vidD+J8zYcIExo8fT5s2bejSpQvLli0jKiqK6OiGH/Ifeughli+X2yetWLGC0aNHN6qEaG1tTffu3c1hrYiICPr164dWq6Vv374Nbu/ZsydWVn/fapx/o5EjRzJ//nwOHTrEiy++iJWVFf379zfff+HCBQIDA//BGQqCIPyP0NdBRT5UFoLxv7+6U15Vnnll6uSQydcZfW37YuSw1sDgv14NebCvXGHzQMaBFm9jrVUxe7DciuiT3+Mpqar7y/MQBEEQBEH4s8Jq+dz0n9tbVdUZ0BvlCirdPeUA1YX8CxhNRrq5y+GExJJE9kYXYajyRZJMZFUnMNxvOCZMLL+0nLf6vgXA2ri1PPzrN3ywM56anLEAxFXubxCoqFdfGfX76O85kJjI6EWHWHc6A4WNHACwVfjR2dsJSYIL6XIrrYKKWgor5GCZ0WQkwEWusqVVGyivlEMQuRUF+Nr5AnLVnVAvO3p4y++1fo+P5kxa4+pa9RV5MsozGt0nSRIDg+X7DybkN/8EC4JwS3R0lcM/SSVJlNVdaaMXn1dOabUOK42S7l5y1b+rWxZaqa3Mr28pZXLAs7rOQEW5HNZq7VnK4qlhWKiV5te2UzmnzNv38uyFrcaW/Op8nty4jhGfH2J/XD5qpcTMgYH8MvlVtEotkTmRbEjY0OTcT18uZtxXR3h7Www1OiN9Ap3ZNWcA9/bwbVEwadnFZexK3YVKUvFe//ewVF073AVQqavklcOv8FbkixiooY1dZ5zKnianBGZ8f4on1pyh4I/XzeaU1ZVxpmg3ABPajsdCreBoUiGjFh5i64WsRuNNJpM5rNXZtXOj+11ttSydFsbCe7rgZK0hPreCKd+d4NV9SwGYHDy52Yphf4WFWsmztwWz/an+hPk5Ulln4I3fohn19feM2ziRFZdWADAtdBpv9HnjlobFmnNn0J0AHM06SpWu+fCbIAiCcH0irCW0yKhRo5gwYQIdO3Zk2LBhbNu2DYBVq1bx7rvvNghjpaVd6XU/b948zp071+Br5syZNzWH+uCXpaUls2fPZt68eTz22GO35PEJ/xvqy9he6w1pTEwMPj4+DSphhYaG4uDgQExMjPk2f39/bG2vVDPw9PQkLy+vRfMIDw83f5+UlIROp6Nv377m29RqNT169GhwPEG4nqSkJKZMmUJAQAB2dna0bi23F7r6NRfgvvvu49ixYyQnJ7Ny5UoefvjhJvc3ePDgBqGsQYMGATBw4MAGtw8ZMuRveTz/Zm+//TZKpZKBAweydOlSli5dikZzpcz48uXLue222/7BGQqCIPw/ZjTAsa/gy+7wtht8HAQfBcC7XvDjJEg59E/PsFlbk7diNBnp6tbV3CbjZiTmVZCQV4FaKTHoj4twf0Vfr75ISMQXxzdov3E9U3v60dbdhqLKOt74Lfr6GwiCIAiCINwgg0lu4aeQGl7muLoNc6hzWyxVllToKkguScbJwsnc4upQxhF0pWEArE9Yz+zOs1FKSiLSI1Ar1TzUXq4Ac7LiWxTaHF4aOoIhPkMwmowsi2q8CHOU/yjaObWjrK6M2ftmkm88iYfPMWw85QWgz/d+iM1P9OPgvMGM6CCHsqpqFTzx02kAVAoVSkleEDqmkwdq5M4Ba07F4m0jn8tMK5fPA41rL4fQ0GQzc/VpckprGswl1FkOfpzOPd1k66/+beSwh6isJQh/PxdLF/zs/DBh4lzeOfPtZ9NKAOjs7UCoi1x9K7YotsG2gQ7ygs6EYrkTwse/x1FeJlf26xlSg6VGfs3o7tEdgMicSPO2aoWaNtZyda19mdswGE0Ma+fOrjkDmD8qhCAnX3OL1/cj328wt8ySauasPcuEJUe5lFWGvaWaDyZ05IfpPfFxatnC3p9if2LhmYUAjPN5nLQsV3ZezOZoUgGXCysxGBu/Np3NO8vELRPZnLQZCYnpHabzy7iV7H56JI8NCEAhwdYL2Qz79AAbzmQ029rwh5gfqNJXEeQQxNsjxrPz6QF09XWgvEbPE2vO8urmi9Tpr/xfkVuVS351PkpJSXuX9k3uU5IkxnVpxf5nB/FgH3+UyjpKkD/rnowK4vTlv6+TSht3W9Y91psFd/hj22oT2dYfk1GZgkay450+HzGv+7xG7YD/LgEOAbhZuaE36okrbrq6oyAIgtAyIqwl3BRra2s6duxIQkICM2fObBDG8vLyMo9zcXEhKCiowZeT082ly+uDX5cvX6aiooIPP/wQhUL8ExauaNOmDZIkXTMEZTKZmgxz/fn2P7cgkySpQbu5a7m6BWNzAbLm5iEIzRk7diyFhYUsXbqUEydOcOLECUBuo3c1Z2dnxowZw/Tp06mpqWHUqFFN7m/w4MHEx8eTmZnJgQMHGDhwIHAlrJWWlkZKSgqDBw/+ex/Yv5CrqyuHDh2iuLiY4uJi7rrrrgb3r1u3jtdee+0fmp0gCML/c1ufgV0vQUE8cNVJW301JPwOq8bA76/8V1ba2pGyA4CxgWP/0n42nc0EoF+QC/aWf72trqOFIx1cOgBwLPtYi7fTqBS8P6ETCgk2ns1kzYm0628kCIIgCIJwA+qrmNRX2KonceWcm0JSmYNLFwrk9mD9W8nVrYs4h66sC5YqK1LLUsmrzjNXx3r3+HscPdUFfUUbJIWOwNDNPNDXh4c7yovidqbspLS2tMFxTSaJDuonMOpskbS5WHr/SKXNZnTGOob7DWdc0DgAfJysuL2b3OLQWulIlU5uVVhWJaEzygE0dztLhgTL1bTi8wvZfV6+Pb08HaPJaH5Masss8sqreWjlSSpq9ea5dPfojkahIaMio8mL6eH+clgsLrecshpdi55vQRBuXn21pqvbFF7MlF9DOvnYm0Okl8suN6hW1NaxLQDxxfHE55az4kgKxhr5GlxKWbx5XLh7OBISqWWpFFQXkFtWwwMrTnLojBz2Uttd5NsH2vHdA+EEuNqYt5sWOo0B3gOoMdQwe+9sTmRG8fbWaAZ/FMGmc1lIEtwd7s2euQOZ3N0XxTXaJQKkF1Wx6mgyo79/iXdPyF12agsGsXJXK5786SwzfzjDlKUnGPhRBJ1e38W93x7nmwNJJOaV8V3Udzy08yEyKjLwtPZk5ciVzAmbg0qhwlKj5MXR7dg8ux/tPO0oqdIx95fzPLDiZKPWhvlV+ay6tAqAxzs/jiRJ+LtYs+6x3sweLD8f3x+7zORvj5mDrvWtcoMcgq5b/cveSs3rd7Tnk/sckSQjRp0DR2MVTFhyjAlLjrLrUg7GJoJof9XhrEP8kPEE2B0HQFcSRmHc07y+VskPxy+jN/znznN423gD8nMtCIIg3DyRdBFuSm1tLTExMXh6euLk5NQgjKVSqf6WY9YHv7y8vETIRWiSk5MTI0aM4KuvvqKysrLR/SUlJYSGhpKWlkZ6err59ujoaEpLS2nXrl2Lj6XRaDAYDNcdFxQUhEaj4fDhw+bbdDodp06duqHjCf9uhYWFxMTE8MorrzB06FDatWtHcXHjEvf1Hn74YSIiIpg2bVqDFp1X69OnD1qtlsWLF1NdXU1YmLySNDw8nNLSUr755hssLCzo1avX3/KYBLmlalM/HycnpwaVtgRBEIQWunwUzqwCSQGjP4bnEuDVYlhQAI8fhfA/qk0e/QJ2L/hn5/onaWVpxBbFopJUDPcdftP70RuMrD8jt7qZGOZzndEt19urNyC3ObgR3Xwdefa2YAAWbL7IjqjsWzYnQRAEQRCE+mqkFwsvNrhdq75y2aNGb6CTayfgSkhiiK9cRVxlE4eVWs24wDsAWBOzhtldZuNo4UhKWTLny7ajKpiCjcqenJoUfo3/lU4unWjr2JY6Yx27L8sttkwmE0eTChj31RGWR5RTlfIUAZqRhDi1o4dHD17v/TofDfioQQWwpJIkAG4P6cCoTg4AlFQo2XVJDt5rlBpaO8mBKklRxw+Hy1FKKqr11eRW5hLoEIiN2gaTogYnx3xissuY9eMZc1Uxa7U1A33khXlrY9c2eu7cbC3wdrTEZIIL6aWN7hcE4dbq5NLwdQggNqccgFBPO1wsXXCzcsOEiZiiK4vRQxzlEFdMUQyf/h6P0QS9veV9JZYkYvgj4GmvtTdX4docc5TbFx3mYHw+ar0PLhp/kPSUKK60SKynVCj5aMBHdHDuRFldGdN/f4gV57ZRZzDSK8CJLbP78eHEzrjaapt9bOlFVXy1P5GRnx9kwGfref/sc6SbfgOgtmAwTnXj6ORtT8/WToT5ORLgYo1WpaCyzsCx5ELe23WeMb88wsIzCzGYDIz0G82GOzaYWzteraO3PVue6Mu8EcFoVAoOxudz22cHWXkkxVyp6/Mzn1Otr6aTSyeG+135fK1SKpg3IoTlD4ZjZ6HibFoJY744TGRKkfnnUr9QqSXKjPKCpD7enZkc7oNGqeD05WIeW32aYZ8e4JeT6Q0qPd4so8nIwjMLmb13NgXVBfjb+bNixAqWj/mYti7uFFXW8cqmi4z98gjHk/8z1RLrDPICcpXi77keLAiC8G8hwlpCizz33HMcOHCAlJQUTpw4wcSJEykrK+OBBx74p6cmCA0sXrwYg8FAjx49WL9+PQkJCcTExLBo0SJ69+7NsGHD6NSpE1OnTuXMmTNERkYybdo0Bg4c2KB94fX4+/tz4sQJUlNTKSgoaLbqlrW1NY8//jjz5s1j586dREdH88gjj1BVVcX06dNv1cMW/sc5Ojri7OzMt99+S2JiIvv27WPu3LnNjh85ciT5+fm8+eabzY6xtLSkZ8+efPHFF/Tt29ccGlKr1fTu3ZsvvvjCHOgSBEEQhH+UQQe6muuPO/aV/GfX+6HHI2DjBgoFKNXg3h7GfAbjFv8x9kuI3vL3zfkGRaRHABDmHoaDhcNN72dbVDbZpTU4WWsYFvrXWyDW6+Uph7dPZJ9ots1Ec2YNCmR8t1YYjCZmrTnD4ojEv2WVsSAIgiAI/z49PHsAEJkd2aASjYVaiVYlX/oordJdqWjzR2Wt9s7tcbHwQFLUYWmfwJR2UwA4kHGAsroyBrk8CIDWZR8L7w3nqTC5TdiqS6swYWKE/wgAItIPsulsJnd+dYQpS09wKasMOwsVH4/vx+Z7P2Ld2F9YNmIZE9pOaNSeqr5VWSe3TvQPsQBAYbIht1wOTun1arQq+ZxMOy9LQImh1hmQAxoqhcrc9mxc73Is1UoOxufz0oYo8/u1qe2mAvBb0m8UVBc0ev7C/OQw2Km/sXWXIAiyjq4dATlcajQZMZlMxOfKYa1gD1tAfm0CuFRwybxdsJO8+CW+KIFd0VkAvDSiH1qllhpDDZkVmVeO4SIf49MD+yioqCXEw5ZtT/XngY4TANiVuqvRvGp0Br4/ms2ls3ejrwxAUtRi5fM9Iwce5ptpoXT0tm/y8dTqDWw+l8m93x6n/4f7+WjPGZIN67EO+AyVTQJKScOMkJc4+8SnHH9xGFue6MfPj/Vm/eN92PfcIKLfHMnOOf15ZpQzrm2/QW0bjcmooiZrAr8fHMLX+zMprqxr8thqpYLZg4PY8XR/uvs7UlVn4PXforn7m2Osj97HlqQtSEi80OOFJgs/DAlx57cn+xHiYUtBRS1Tlh5ne6K82L6pgFhz4ovlymZdPUL5YGInDr8wmFmDArGzUJFcUMnz6y8w5JMINp/LvOnPwCaTiVePvMp3Ud8BcF+7+1g3dh3hHuH0CXRh21P9eW1sKPaWamKyy7jn2+PM/fkchRW1N3W8ljAYDaSUpQDQyqbV33YcQRCEfwMR1hJaJCMjg3vvvZfg4GDGjx+PRqPh+PHj+Pn5/dNTE4QGWrduzZkzZxg8eDDPPvssHTp0YPjw4ezdu5clS5YgSRKbNm3C0dGRAQMGMGzYMAICAvj5559v6DjPPfccSqWS0NBQXF1dSUtrvq3L+++/z4QJE7j//vvp1q0biYmJ7Nq1C0dHx7/6cIV/CYVCwdq1azl9+jQdOnTgmWee4aOPPmp2vCRJuLi4XLc60+DBgykvL2fQoEENbh84cCDl5eWiBaIgCILwzypIhJ/vg3e94B13+HYwJO5pemxZNsTJbQTpNav5fXadCn3nyN9vfw5qy2/plG/WkawjAAzwHnDT+zAYTSzeL1doeKC3P1pV09U1b0Zn185YqiwpqikioSThhraVJImPJnbm3h6+mEzw4c447lt2guzS6ls2P0EQBEEQ/p2CHYPxs/OjxlDD1uStDe5zsZGDTvkVteYAQ1JJElW6KiRJoqebfM7DYHWG1vat6evVFxMm1sau5eBZfww1HkjKGuKqd3BX0F1Yq63JrMjkYsFFOjvLIakDl08w5+eznM8oRaNSMK23H/ueG8SEMO9Gcz2fXsKctWcZ+NF+en/8ExfyLyAh0cujN9mVcvXRUSEhWGjlloQ/HMululYOGbT3siLczxFdtTsAMYWxAPT3lts5xpWf4MspXVFIsO50Bgv3yu/Xurl1o4trF+qMdayOXt1oTuH1Ya3U5qu3C4Jwa7RxbINWqaW8rpy0sjTyy2spr9GjkKC1izVwJawVXRRt3s7Pzg+1Qk2NoRpUxQxo60o7Dwf87ORrc6llqeaxbtrWABjU2fQNcmbdzN4Eudky1G8oAKdzT1NWVwbIIaAdUdkM/eQA7++IpaxShVfN0/Rxldu1HsnbyqgNo/j01KfEFsViNMmL1XPLavjk9zj6vLePp385TmTeESy8fsauzQdoXfYhKXSEuYexcdyvPN3zXqy1TVdeUiok6pSpbMyZT42UhbOFC/d4v4eHcgClVXq+3J9Ivw/28dGu2GZbtQa62vDzo715a1x7bLQqTqdn8trRVwG4u+3d5qqKTfFztmbDrD6M7eyFQVlIbm0CINHRqeUL+qMKogBo5yR3UHGzs+D5kSEcfXEoL40OwcVGQ3pRNU+vPcf4JUeJzSlr8b7rfRf1HZuTNqOUlLzT7x1e6PECFioL8/1qpYKH+rZm37MDmdrTF0mCDWczGfbpAXZH597w8VribN5ZKnWV2GnszNXcBEEQhJsjmW50WawgCIIgCILwr1dWVoa9vT2lpaXY2dn909MRBOF/zaWNsGkWXFUhwaz/szD4FblqVr3dr8KRheDbGx7eee1962pgcS8oToFBL8GgF27t3G+Qzqij7099qdZX8+vYX80rp2/U6mOpLNh8CTsLFQefH4yD1a1tqTtzz0yOZB7h+e7Pc3/o/Te8vclkYu3JdN78LZpqnQEnaw1Lp4WbKzoI/7vEe4abJ547QRCE61sdvZoPT36Ij60PW+7cYm7JNHHJUU5dLubLKV0Z08mLoeuGkleVx/IRy+nu0Z1dCad47uhDYFRxbOohTuee5ol9T2CtsiPn4jxsHGOR3H/EzdKN3yf+zrMHnmVv2l6GezxERGQ76nxeRJIMaLMXMK17V6b09DUHxK6mNxj5cFccSw8lI1+JMWHhvRq1bTS68nb46mbj1fZnThcc4oXuL/Bb4g6iiy9QnTEVJ/tKqm03MSZgDE90fJWRK14Hp+20tujDlsnfkF+Vz5B1ckvHvZP2sieqhpc2yuGBL+7tytjOXuxL28fT+5/GTmPHvrv3oVVemWNsThkjPz+EpVrJ+dduQ6MSa/v/vxLvGW7ef/K5m7p9KhfyL/Be//dwMvZiyncn8He2ImKeHB49lHGIWXtnEWAfwOY7N5u3m7BlAvHF8VSlP8CiO6ZyeydP5uyfw960vczvMZ+p7aZiNJoYvfQ7Mi0WoTZ4cuS+HVhqrizguWPTHaSUpvDRwI/o4TqEF9ZfMId5PO0tmDu8LeO7eaNUSJzMOck7x98hqTTJvL2N2halwZWiciUmDCjUJSjUxSBducTczqkdj3Z6lKG+Q5usaHW1PZf3MP/QfGoNtQQ7BvPV0K9wt3bHYDTx+6UcvtiXSHS2HG5ytFIzZ1hbpvb0RaVs+nUqvaice7Y8RpkUhbHWhUDdAhZO7mkOwjXHZDLx4OaXOVP6G/qKINyrnuKrqd1o79V0RbF6mRWZjFw/EoWk4ODkg9hrG4+vrjOw/EgKi/cnUllnQK2UeO62YB4dEHDd5wcgpTSF8VvGozfqea33a0xsO/G625xNK+bFDVHmFpuPDghg/sgQFIrrH6+lFhxZwKbETYwLHMfb/d6+ZfsVBEH4b/d3vGcQ774FQRAEQRAEQRCE/w4mExz+HNY9KAe1Wg+AmUdgbiz0eEwec+gT2DAD6irlv2echuNL5O/rq2Zdi9oChrwif3/8K6ituMUP4sYklSRRra/GVm1LG8c2N7WP9KIqPtwZB8BzI4LNQa3yunJ2pe5i+cXlbEzYSF5V3k3Ps6dHT0BuM3QzJEni3h6+bHuqH6GedhRV1vHA8sibWl0sCIIgCIJQb0KbCThqHUkvT2dz4pVwg7ejJQDpRXI1z/pWiPWVUDq7tcdQ6woKPXsu76Ffq364W7lTqS9DZRPNQO+h2GpsyavO43z+eXPFm+1xZymqNKIyuALw8RRPnhrapsmgVlWdnkdXn+bbg3JQ684uXjw0Kg21bTQSSrTlo4nPreBk9kUAghyCKNUVAuBq5UJxpR6AOoOeVg6WPBjeD4CksniiMkpxtXKlk4tcOeZAxgGm9PTl0QEBADz/6wXic8sZ6D0Qdyt3yurKOJJ5pMH82rrZ4mytoVpn4PRlUV1LEP5u9VX+LhZcNLdADHKzNd/fzlmu0JRaltqgtaujWm41Z2FZyNB2crt7T2tPAHIr5cDVhrOZxGXInwMV6iIs1A0v/w7yHgTAprjfGfvFYXZH56JWSjw5JIh9zw5iUrgPyj8CPd09urNh3Aa+HPIlPdz7oURLha6cUmMySusEVNbJKDRFIJnwsfVhcvBkVo9azc9jfmaY37BrBpFMJhPfX/qeuRFzqTXUMsB7AN+P+h53a7lyoFIhMaqjJ9ue6sfX94UR6GpNcZWO17ZcYvSiQ5xILmy0T6PJyLLYTyiTolBJGhT593EhvZrRCw/x88k0rlWzJKEkgQtlcpVuu9rhpBZWcddXR1l1NPWa221K3ARAuHt4k0EtAEuNktmDg9j33CCGtXNHZzDx3o5YnvzpLLV6Q7P7rvdd1HfojXr6terHhDYTrjseoKuvI1ue6MeMfnKVtW8PJvP0z+fQG4wt2v56imqK2JEiP18T2rZsToIgCELzRFhLEARBEARBEARB+OdV5MMv98Oe1+S/95wJ928Cjw5g5wmjP4Q7l4BCBRfXwxfh8MsDsHI0GOog+HZoO6Jlx2p/FzgFQk0pnPvxb3tILRFTGAPIJ+YVUss/ov+e+juTt06m7099uXPTJGptdtHRv5Z7unsTXxzP28ffZui6oTx34Dk+O/0Zrx59ldt+vY23jr1Fpa7yhufZw7MHAKdyT6E36m94+3oBrjb8+nhverZ2oqJWz1MtPFEtCIIgCILQFCu1FTM6zgBgyfkl1BpqAfB1sgIgrUh+31MfajqbdxYAJ2st+rIuAGxO3IpSoeSOwDsAUDucoauPM/1ayeGoo1lHib5cH4Io5plhbRnQWg5VZFamNTmvvPIa7l16gn2xeWhVCr6a0o1eXeL4NVVeZPBc+FwOPD2F4Z2UKNTFmEwKfj2KOVz/2YSBWKrlKmEXM0sAeDC8DwCSupBnf42kVm8wt0KsD2K9MDKEfkEuVOsMPPXTWfRGGOQzCICTOScbzFGhkBjYVg6d7Yv9e9plCYJwRQeXDgBE5UcRlSkvWgn1vBLWcrF0wcXSBaPJSHxxvPn2qkoHAFq5VmGhlqtleVh7AJBTmYPBaOKLfQmYdA5IKKg11lJQXdDg2MP8hgFwJOsAmWXFtHaxZtPsvjx7W3CDClz16vQmTkZ7cOjwHZTELKAy+SmCTLN5NOQVPuj/ActHLGffpH1sH7+dV3q9Qhe3LtetFmUwGvjg5Ad8dOojTJi4J/geFg5eiJXaqtFYSZIY2cGDXXMG8PadHXC0UhOfW8Hkb4/zwq8XzK0Raw21vHz4ZdYnrEchKfh44Ifsmj2F3gHOVOsMvLA+irm/nKeqrvFn2OKaYp6NeBa9Sc8gn0HsfGwGw9q5U2cw8tqWSzz+wxlKqxq3YCyvK+en2J8AmNR20jUfM4C7nQVLp4Xxzl0dUCsltl7IZsaqU9f8HFxaW2oORc3qPKtFlbjqaVQKXhkTyueTu6BWSvx2PouXNkZdM3zWUj9E/0CtoZYOzh3o4trlL+9PEATh306EtQRBEARBEARBEIR/Vvzv8FUPiPlNDmON+ghGfQCKP5007jIFpm0Gex8oz4LoTaCvgcAhcNfX0NITmAol9Hpc/v7E12C8NatMb0ZSidxa4kaqaq28uJJnDzxLdGE0ZXVl1CnT0LrtJtXyNcJ+7MqELRP4Oe5nqvXV+Nv5MzZgLJ1cOmEwGfgl/hembpt6w1W2QhxDsNPYUaGrILow+oa2/TMrjYol94XhYqMhPreCFUdS/9L+BEEQBEH4d5scMhl3K3dyq3LZkLABAF9nufVVWpFcnSbMPQyA07mnMRgNaFQKLGrDATiTd5L8qnzGBo4FQGmdgL11LeHu8v3Hs86w7ay8Hyf7ap4e1oYghyCABoGKevvj8hiz6DDn00twsFKz5pGe5Cp28M6JdwB4sP2D3B96Pw5WGnp2yADAWOXP+nNJ6Iw6VAoV4d6tGR/mBcDlwmr2xuTibOmMncYeSTKRWJzK4v1J9PLsJT+G3DOYTCaUConPJnfByVpDbE453x5Ipp3TlWo9fzYsVK5ms/NSzi25kC8IQvPqK/xFF0VzNl3+PNbZx6HBmBCnEABii2LNt6XlymEmK+srFfDqK1HlVOUQEZfH5cIq7C0taWUjV+G6uoUhgK91CAqdByjq8PU/w6ZZfZtt9Xcho4TRiw7x5f5E6vRG+gS6s+mRSWx8cCZP9pzM6IDRdPfojquVa5PbV9cZuJBRwoYzGSyJSOLd7TG8sukMo9c+wo8x8mKp21s9wr2BT6OUGgfFrqZSKrivlx/7nxvEvT18APj5VDqjPj/E+qhTPLDjAbYmb0UpKXm779sM9RuKl4MlP87oyfMjg1EqJDaezWTS18fILq0277eguoBHdz9KalkqHtYevNnnTRytNSydFsaCMaGolRI7L+Uw5stDnEsvaTCnL85+QWltKa3tWzPcb/g1519PkiSm9vRj5UM9sNIoOZRQwIsbmg9Q7UzZic6oI9gx2Bzyu1F3dm3Fl1O6oZDgl1MZrDyaelP7qVdQXcAPMT8AMKPTjBsKkAmCIAhNE2EtQRAEQRAEQRAE4Z+TuBd+ugeqi8C9I8zYCz0fbX68fz944iRMWgnD34JpW+C+DWBhd2PH7XwvaO2hKBnid/ylh/BXpJXL1Rj87PxaNP5kzkk+Of0JAG0txlKZPAddzkTaOYSjUsjVFzQKDUN8hvDdbd+x5c4tvNv/XX68/UeWj1iOm6UbSaVJPL7n8QatNa5HqVCaL1hG5txcK8SrOVlrmD9KvnD4zYEkKmpvvlqXIAiCIAj/blql1lxda9WlVRiMBnz+aIOYUSxfnG/n3A5btS3ldeXmVoguFl4YqnwxYmR7ynZa27dGrfdFkozElB8yBysuFUShq7MBoNJQhMFoMLczi8yONF9sj8ooZcaqkzy04iR55bUEudmwfmZvjhT+wGenPwPgkY6PMDdsLpIkUaOvYW3cWgDubncnKku5upWNwgOVQoW3k1p+gCYVL22MoqJWTysbOcAlqcpYHJGI2uCLSlJRXFtMTmUOAK62Wl4bGwrAVxGJKIxy5Z6SmpJGz92gYFesNErSi6o5kyZaIQrC38nbxht7rT16o57UcjlM1c3XscGYYMdgAOKK5Tb3SfkVZBfIv8OVxhzzOB8bObiUVpbGzyfTAZgU5k3oH60U66sI1nt3ewyVeYMAqLDcQXzZuSbnuOlsJhOXHCM5vxI3Wy1f39eNH2f0pJO3Q7OPy2g0cSatmA92xjLuqyN0eH0Xd3x5hLm/nOeDnbEsPXKBDdkLyNKdxGRUUp0xhbV7AhnyyQG6vLmbWT+e5tfTGZTXNK5iVc/BSsN74zvxy2O98XY2ka/ewGunZ3Cp8BJ2Gju+Hv61OXALcuXAWYOCWDOjJ87WGi5llTF+8VES8yq4VHCJqdumElsUi5OFE98O/xZHC/nnIEkS0/u1ZsPjffFxsiS9qJpJXx/lxxOXMZlM7EvbZ66qNb/HfJR/XmB2HX2DXPj2/nCUCokNZzJZE9m4OqPJZGJDohw8viPwjr8UihrR3oMFY+T/D97bHmtuv3kzPj31KdX6ajo4d2CIz5Cb3o8gCIJwhQhrCYIgCIIgCIIgCP+MukrY9DiYDNBhIjyyD7y6XH87taXcyrDvUxAwsOUVta6mtYHuD8vfR7z/j1XXqr+oVr8C+lr0Rj1vH38bgFCboZw+2xdjrQcfjJjBL+NWEDk1kv137+f41OMsHLKQnp49G5zY7e7RnVWjVuFs4Ux8cTyLzi66obn29OwJwInsEze0XXPu7OJFgIs1xVU6fj2Vfkv2KQiCIAjCv9O4oHHYa+3JrMjkSNYRPOwtAMgrk9siqhQq+rbqC8C+tH0AuNho0ZXKFbc2JW7CZDJhVSe3fo7M/50ghyCs1dboqUFSVqKU1OiNerIrs+nh2QNLlSUZFRn8eHELj/9wmrFfHmZPTB5KhXyx/6fHurAs7j2WRi0FYE63OTzV7Snz+7Ml55eQW5WLm5UbLw2Yyshuckus/EJnIuLyKKuV26TZaGzJLavli70J2Gjk0FgnXwt0BhOvbYqlla38PjK9/Mr7qTs6e9Hd35EanZHtUfL7TSON3+9aaVSMbC+3U1t/JvOv/yAEQWiWJEnmlqxKy8sEu9viaK1pMCbEWa6sFVMYA8DW89kY6uQKVjlV2VTUVQDgb++PhERhTSH7E+Xg18Rwb3p79QZgz+U95iBpfG45605noC/rTJhLf3RGHbP2zDK/7tVbdyqdOT+fo85gZHioO78/M4CRHTybDQuV1+hYfjiFIZ9EMH7xUZZEJHE+vQSD0YSztYZeAU6M6CzhEfIdSqs0NJI1g+xeYWTrEXT2tkejUlBarWN7VA7PrTtPz3f38sqmKNKLml5UlF6WzsGC5RhavYPW5QCSZEBfHkJnxVuEufVocpueAc5smt2XQFdrsksrmfjT29y3/T6yKrPwtfVl9ajVtLZv3Wi7jt72bH2yP6M6eKAzmHh540VmrtvA/EPzAZjabip9vPo0eczr6dfGhRdHyT/nd7fFkFdW0+D+kzkniS6MRqPQNAig3awH+/gzJMSNOoOR+esv3FQVxd+SfuO35N+QkHix54uiqpYgCMItIsJagiAIgiAIgiAIwj/jzPdQkQsOfjDuK1Bprr/NrdT7CdDaQc4FOLXsP3vsP+RWyRUU3K3crzt2R8oOkkuTsVbZEXmmHwAvjQ5hXBf5Ap1aocbF0gW1Qt3sPrxtvXm337sA/BT7EymlKS2ea3eP7gCczz+PztD8queWUikVPNTXH4DVxy+L1juCIAiCINw0S5UlYwPki9pbkrbgYCW/r6zWGajRySGo2/xvA2BbyjYMRgPO1hp0ZZ1QSRoSSxI5l38Oe2MPTCYllyvjiC+Op6OLXF1LaZ1CgH0AANGF0Virrbmv3X0AvH/6Nfblf4PGIZKenVJ48s5sDE6/cNdvt/Nb8m8oJAULei3gofYPczSpgNXHUvnw0BqWX1wOwIs9XkSj1KBTy4ELQ7UP89dHkVMpt0m7LVhuubjiSCrVdfJ7sMnhvlhplJy6XIxRJwe4SmpLzM+HJEnMHS5X6DmcJIewrFRWTT53E8O85eftXBaVotqpIPyt6luyKq2T6BPk3Oj+Ds5yy7u44jiqddVsOpcJBmvs1HJgK6ZIDnFZq60JdAgEwKRNJsTDlhAPO4b5DkOr1BJfHM/+9P0ALD+cgskEI9t78s3Iz+jfqj81hhoWHFnAQ7se4lDGIY4m5TN/g1x18ME+/nxzX5j5dfTPDEYTa06kMeDD/by5NZrUwiqsNUrGdPLkk0mdOfzCYE4vGM6MEZVcML1FhTGHVjatWHfHGr6cMJEvp3Rj8xP9uPTGCDbM6sNTQ9sQ4GpNVZ2BH46nMfjjCN7eGk11nYHS2lLWx69n+q7pjN44mlXRq6jQVdDWsS3jW71KXdaDbD9bzRNrzqA3NL0Ay8fJitcmWuPU5msMDtvQm/T09xrMT2N+wtfOt9mflb2lmsVTuzF/VAhq22iOVL5Ltb6aHu69eDb82ev+rK/l4b6t6eLjQGWdgYV7E8y31xpqeS/yPQDGtxlvrvj1V0iSxLt3dcRKo+RMWgmbz2Xd0Pa/p/7Oq0deBWBGxxl0cu30l+ckCIIgyERYSxAEQRAEQRAEQfhnnFsj/9nnSVBb/OePb+0CQ16Rv9/1MqQd/48e3mA0mC+qOVs2PlF/NZPJxOro1QBU5vXFZLDkvl6+PDog8IaP26dVHwZ5D8JoMpovErZEoEMgjlpHqvXVXCy8eMPHbcqdXVthpVGSlF/J6cui9Y4gCIIgCDdvTMAYAA5mHASp1nx7rV6+gD/QeyAOWgfyqvKISI/AwUoNRksCLfsDsDp6NbZqB/Rl7QH4IeYHOjjKlUUt7GLo7iGHLI5kHQGgu8NkDOUdkCQDGqdjaD03EK37hmUxn7M+YT2ltaX42/mz7LZlhDuNZswXh5my9ARv7FvL90kfADC81SSG+Q2jSlfF6ZzTALiqQ8kpq+FMViIA/f3b0ifQmTqDkZRiOejf2smNZ4a1Ba60evyzXgFOdPK2Ry/Jba+au+jfK8AZf2crKmr1bL1wYxfxBUG4Mb08ewGgskqid6Bdo/tb2bTCzdINvVHPuotHSCmoxEqjpIdnV6BhS/p+reQFPCq7KPMCHgcLB6a2mwrA60dfJ7Eojd/Oy7/XD/drjVapZdGQRczpNgetUsvp3NPM2juLxyPuRum8i8GdalkwJgSFounKSUWVddz33Qle2hhFcZWOABdr3rmrAydfGcaXU7oxIcwblaaM5w8+zzMRz1Chq6CbWzd+GP0DAQ4BDfalViro5uvI3OFt2Tt3IGse6Um/IBf0VLEyah19V05h4M+DeP3Y60TmRCIh0derL18O+ZJ1Y9fxxrBJfHNfOBqVgl2Xcnlty6VG800vS+f5g88zO+JhdKp0JKMV1VmTKEi+B2uV7XV/XtX6asqs1mPh/T2Sog59RRB5ifdQU3fdTa9JoZDM1bXWnc4gv7wWo8nIm8feJLEkEScLJ2Z3mf3XDnIVD3sLZg+Wg78f7Iylus5w3W10Bh2Lzizi2QPPojfpuT3gdp7o+sQtm5MgCIIgwlqCIAhNevDBB7nzzjv/a/YjCIIgCILwP6ckTa5oJSmgw4R/bh7dH4Hg0WCohR8mQPzv/7FDl9aVYjTJFw8dtA7XHBtbFEtMUQySSUV5QThdfR14dUz7mz729I7TAblaV1ldWYu2UUgKwj3CATiVc+qmj301Wws1ozt6AvDr6Yxbsk9BEARBEP6dQp1D8bL2olpfzfGsK22blX+EDjRKDRPbTgRg2cVl2FqoAPBTjQTktmEai3zqiuQAxPbk7fhYydWpsEwxVxPZlbqLstoy3t2WQFXGVNor5jK57WQGeA+gj1cfhvsN5+EOD7Nk2BI2jtuInRTMhCVHic4uw9YhCSvvtUiSEV1JGNsiwjiWVMiWpC3UGGrws/Pj+cGDASO5NZcBCHAI4LkRwSDpqDDKYS0/Oz8e7OtPkJuNOYxlr7Vv8HxIksR9vfxQqEsA8LDyaPJ5Uygk7ukhV5dZcyLt5p58QRBaxMLki1Fnh6SsQ7JMbHS/JEnm9vPrLu0B4PaOngzwll+XItIjzGO7Og4BQGV7iV5tr+xjVpdZtHNqR3FtMQ/ufJAaZRKtHCzp7i8HNlUKFdM7Tue3O3/j/tD70UiWGFUFaF32cUr3GsN+HcbzB55nTcwaLuRfoFovB0IzS6q5a/ERjiUXYqVRsmBMKLueGcDUnn6olEaOZh5lwZEFjN4wmh0pO1BICh7u8DDfjfgOF0uXaz4veqOeatV5XAPX4hDyLpZev6LTRmMw6fGxDuTpbk+zc8JOvh7+NQN9BqKQ5Mvbw0LdWXRPVyQJfjyRxuZzciXBjPIM3jj2BndsuoMdKTuQkBjfZjzLh61DW92DyJRiVh5NbXY+BqOB35J+487Nd5oXTY3wnoS28BGiMmp45PtT1OqvH3i6lh6tnejs40Cd3sgvp1N47ehrbEnagoTEe/3ew8HC4S/t/8+m92uNt6Ml2aU1LDmQdM2xsUWxTN0+1dzGd2q7qbzT9x3z8y4IgiDcGqp/egKCIAh/9uCDD7Jq1SoAVCoVPj4+jB8/njfeeANra+t/eHZNS01NpXXr1pw9e5YuXbqYb1+4cKFo5yIIgiAIgtCU5APyn97dwcrpn5uHQgETlsFP90DKAVgzCXo+DoNfAovGK51vpZKaEgBsNbaoFNf+eL4jZQcAdeXtsFDY8tndXdCobv5EaWfXzgTaB5JUmsS+tH3cGXRni7YLcw9j9+XdnMw5ySOdHrnp419tQjdvfj2dwbaobF6/oz0WauUt2a8gCIIgCP8ukiQxyGcQa2LXsCdtH9AHSQLLq95bTG03lR9jfiSqIAovlzOAIwq9J8P9hrP78m6ylL9irJmMp6Yj2XVR7Mvagr4iCJVNItEF0eb3T+8f/5KozM5YqJV8ddcUnG20Tc6ptErH9FUnKa7SEeJbSbH9Gqr0Bob7jqDENIl92QU88fMBrAIWA3BvyL2MaevFe3v2U6WoQa3QEugQiMpJRbc25SRIRrSSPe5W7kiSxAujAnnmRCEAKoNro+Pf3tGTNyLl+5XGxvfXmxjmzSe/x3E+o5TYnDJCPP7e98GC8G91IK4AfXl7NE7HOJS1n+GtBzcaM8BnAL8l/0Zy9XGgH1N7+eHv6odKoSK2KJa4ojiCnYKJjLc0vz4tj/mcRZ6LkCQJrVLLV0O/Yvrv00kpTcHS7xtcLYaRWxWKh/WV0KanjSfPhc1jS0RHSnVn6Bx8mfSacxRUF7AjdQc7UuXPoBISrWy8KSixolxribOvLbeFepGjOs3Lh0vJrMwkviieGkONed9h7mHM6z6P9s7XXmCUWZHJurh1bE7aTEF1gfn2APsgygvak5oWQJbKm6GD+uJl0/S1oZEdPHhqSBsW7k3g9Z2/c6gklj1puzCY5DBVX6++PN3tado5twPgpdtNvLzxIp/vjmd811Y4Wl9p91hnqGNb8jZWXFpBSmkKAF7WXrzc62UGeA8gKriUe5ce53hyEa9viea98R2v+fiuRZIkpvTw4UJOIssSv0GnTkEhKXi779v0adXnpvfbHAu1khdHtWP2mjN8cyCJid288XVu2B63zlDH1+e/ZvnF5RhMBuy19izotYAR/iNu+XwEQRAEUVlLEIT/UiNHjiQ7O5vk5GTefvttFi9ezHPPPfdPT+uG2dvb4+Dg8E9PQxAEQRAE4b9P6mH5T//+/+w8ADRWMHWdXGUL4MQS+DIcTq0Ag/5vO2xRTREAThbXD6sdyJDDbfqyjjwxOAh/l7+2iEGSJEa0lk+47rm8p8XbdffoDsC5/HPojLq/NId6PVs74WlvQXmNnoi4vFuyT0EQBEEQ/p2G+MqVZo5kHQQMOFtrzZW1AFwsXbg/9H4AjpesAKmOshodT3Z9EpWkIld/FpXNJfwVcuXXg1k70JfLF/jXJawzVyf9LfUnVPanCPNzbDaoBfDWtmjSi6pp5VKHwXUZVfpKwt3D+WDAeyyeGk6gh4Fq568pqS0myCGIu4PvRqVU0KZ1OgC2pmBzqL+1XyoAVaUB5JXLbR7tHDKRJCNGvS2/HC9vdHxrrQpLa7kaV1Ze8wEsFxstQ0PcAfj1lKh2Kgh/lwPx+ejL5QDTwYyD5krLVxvQagAqSYNCU0igdymdve1xsHBgsI8c7FoTu4ZavYFfTqVTmzsWpaQiIiOCNbFrzPtwtXLlh1E/oKwMR5JMJNXuZtT6UcyNmMvetL3mallRmaVkFBrR1oTxw9glHL7nMMtuW8asLrPo36o/ThZOmDCRUZFOjSoOtf056qwPsfXyz6yNW8uO1B1cyL9AjaEGF0sXJrSZwOpRq1k5cmWzQS2jyciRzCM8ue9JRq0fxbKLyyioLsDF0oWH2j/Er2N/ZfOdG9n+wBt0cg+mpErHC79eaHZRfLW+Gn//GJyClqL3/JRdl7djMBno69WXlSNX8vXwr81BLYB7u/vSztOO8lo9K/6orpVbmcvic4sZsX4Erx59lZTSFOw0djzd7Wk2jtvIAO8BAHT0tuerqd2QJPgpMo3fL+Xc4L+AK+oMdRQod2EdsBCdOgUrlQ1fDPmCsYFjb3qf1zO6owd9Ap2p1Rt5dt059IYr//4ul11myrYpLI1aisFkYLjfcDbesVEEtQRBEP5GIqwlCMJ/Ja1Wi4eHBz4+PkyZMoWpU6eyadMmamtreeqpp3Bzc8PCwoJ+/fpx8uRJ83YRERFIksS2bdvo3LkzFhYW9OzZk6ioKPOY119/vUH1K4DPP/8cf3//Zuezc+dO+vXrh4ODA87OzowZM4akpCulYlu3bg1A165d5VV8gwYBjdsgtnT+e/fuJTw8HCsrK/r06UNcXJx5zPnz5xk8eDC2trbY2dkRFhbGqVO3pg2NIAiCIAjCf0z6H61p/Hr/s/Oop9LC7R/DfevBKRAqcmHrHPi6L6Qe+VsOWVxbDICj1vGa43Iqc0guTcZkknBStGdG/4BbcvyhvkMBOJF9ghp9zXVGy4IcgnDQOlCtr+ZSwaVbMg+FQuKOzl4AbD6XdUv2KQiCIAjCv1OYexiOWkfKdSUorRNp5WDRaMz0DtNxt3KnVJ+H1nUP5TV6Wtu35sEODwKg9dxIWYUdo1qPwoQJtf05DNXecnvF7OPc1+4+ACy9fiXb4kvWxq5lZ+pOtiVvY3PiZrYmb+VgxkE2XDrOhqjTqO3Oo/FZTE5VFj62Pnw26DPUSjVJpbHo3D9HaZGNSW/D/G7vo1aoMRgNZBsPAVBW2A6TyYTeqOds4X4A6sras/ywXPFlX9o+AAwVbdhwNpPcsobv6QqrC6lFrqx1McX2ms/dXd1aAbD1QjZGo+gUIAi3mt5g5GRqEYYqfyyVVhTWFBJVENVonJXaCk1dBwB8vGOQJDlwOi10GgBbErfww6kzFFXW4W7px5xucwD4IPIDNiZsNO8nqxhK0iaiz3yMbm5h6E16dl/ezZz9cxj480Bm753N4rMrUGgz6RvkhKVGiUapoYdnDx7v/DiLhy3mwOQDbB23G0PmTKqzJjHK6xEe7fQoMzrO4NFOj/J89+f5aOBHbB63mb2T9vJ6n9fp4talycefX5XP8ovLuWPTHczcM5OI9AhMmOjt2ZtPB33K7xN/Z274XIKd5PazFmoli6d2w0KtIDK1iEMJVypv6Qw6DmUcYsGRBQz+ZTCvHn0FnToJk0mBsqoba0b/xNfDvybMPazRPBQKiVmDAgEjP17YyZN7n2LE+hEsOb+EguoC3CzdmBs2l50TdjKj4wys1A2rTw1s68pjAwIBWLD5IlV1N7bAy2gysjNlJ3duvpOvoxYhKXToKwO5y+0Tcyjs7yJJEu+P74SNVsXJ1GI+3CVfdzqceZh7tt5DXHEcThZOfDLwEz4d9CmuVs1XZBQEQRD+OtEGURCE/xcsLS3R6XQ8//zzrF+/nlWrVuHn58eHH37IiBEjSExMxMnpSkWCefPmsXDhQjw8PHjppZe44447iI+PR61W39TxKysrmTt3Lh07dqSyspJXX32Vu+66i3PnzqFQKIiMjKRHjx7s2bOH9u3bo9FomtxPS+f/8ssv88knn+Dq6srMmTN5+OGHOXJEvkg4depUunbtypIlS1AqlZw7d+6mH5cgCIIgCMI/oiIfilMACVqF37r9VhVBYSIYDeDgA3atQJKuv93VgobBrONwahkc+BDyY2HlaOj/LAx+RW6beIvkV+UDcoWHazmdexoAY40XM/t3vGVtAts4tMHNyo28qjxO556mb6u+191GISno7tGd3Zd3E5kT2eyJ+Bs1trMX3xxMZl9sHhW1emy04nSFIAiCIAg3TqVQMar1KNbErkHtcJJWjgMbjbFSW7Gg1wKe2PcEaqdD5FaGA72Y2Xkm25P2kFWVSnzdt3wWtogD6QeoskqntrA/KstMtiRt4eOBH3Mxo4azZRvIN5znnRPnm52PtXw9n4Ia8LH14dvh3+Jg4cDRrKM8ve9pagw1aE2eFKZOZf9FEz19YGPiRvKqMzAZLCnOCyWnrIYLxQfJr87HRuVAeXkIa06k8chAH7anbAegtWUfYgwmfjh+mWdvCzYf/2zeWQAMtW7EZesoqqzDybrp85aDgl2x0arIKavhfEYJXX2vvaBAEIQbE59bQVWdAVsLC/p79+f3y7vYl7aPzq6dG4xLL6qiIKcjVj5nSKiOoNZQi1appYtbF/q16sfhzMN8F/05cC/3dPflgfZDyKrM5KfYn3j16KsklybzZNcnOfxHuKmHRw9WjXqCuKI4NidtZs/lPWRXZnMw4yBwEOsAOI0VM3d3paNrRzq6dCTUOdT8OfX8ZSNVZf4EuLTng2EDzeGxlsipzOFw5mH2XN7Dsexj5kpiNmobxgWN4+62dxPg0PxiJC8HS+7p7svKoymsOnWaXMo5lnWMo1lHqdRVmse1smnF2IBxLPnNmZIqaww13s3uM70snRTDZmzb/EydqoSIP4oJhrmHMTl4MsP8hqFWXPt6y5xhbdgWlUV6UTUrjqQye3DQdZ8Lg9HA3rS9fHvhW+KK5ZCUq6UrPR3u56d9rpzABMOvu5u/zNfZivcndOSJNWf59mAy1aootua+h96op6tbVz4Z+IkIaQmCIPyHiLOfgiD814uMjGTNmjUMHjyYJUuWsHLlSkaNGgXA0qVL2b17N8uWLWPevHnmbV577TWGD5ff2a5atQpvb282btzI3XfffVNzmDBhQoO/L1u2DDc3N6Kjo+nQoQOurvKbV2dnZzw8PJraBZWVlS2e/zvvvMPAgfLJpPnz53P77bdTU1ODhYUFaWlpzJs3j5CQEADatGlzU49JEARBEAThH1NfVcs1BCwd/tq+SjPh0gaI+hWyzzW8z9EfOk6C8IfBzqvl+1RpoNfj0Pke2P0qnPkeDn0CZVkwbvEtC2zlVMktE9ys3K457vdEuRKrotafu7v73JJjg7yqtq9XXzYmbuRY1jFzWMtoNJFfUUt1nQFLjRJnaw0q5ZXH3MOjB7sv7+Z49nEe7fToLZlLey87AlysSS6oZE90Lnd2bXVL9isIgiAIwr/PxLYTWRO7BpXtJWxtSpscM9BnIP08RnI4Zyf5Fisoq5uAncaOV7q/y+P7H0CniWVD/Aae7vY070W+h8bxBP08budQzlYWHFnA7a6vcficHx3aJuLvWUq5rhyVpEKlVKE36imsKiG+IBtJ0uPn4MHIgGE80P4B7DR2nMs7x1P7nqLWUEtfr76McJvHM7GxrD+TwchutXx48kMA7GpGUmHSEptTxtK4pQBMDZ3Mxhx7kvIreffAj5TUluBh7cHMLqN5OvkCP59M5+mhbczv3Y5mHQXAxhhCFXA2rZih7dybfE60KiUD2rqwPSqHg/EFIqwlCLdYTHYZAKGedgz1HWIOaz0T9kyDcfti8zBUBKMyOVFWV8S25G2MbzMegHnh8ziedZwK5QXU9u2YFD4USZJ4sceLWKmsWHZxGSsvreRQxiGUpWMAue0dQLBTMM87Pc+88HnEFcdxNOsoi4/vokaRRJ2yiiNZRziSdaWqtKulK20d25JXaI/aQUNw63YkliTibOmMrdoWtVIONBlNRqp0VRRUF5BdmU1KaQpxxXGcyztHcmlyg8fW1a0rdwTewejWoxtVrLqazqAjtiiW8/nnSVedxDroFJG6MiKPXRnjYunCMN9hjPAfQTf3bigkBWfOn2RvbB5nLhfTxcfBPLa8rpzdl3ezJWmLeTEUKjDprejkMJS3hk4n0CGwxT9LC7WSZ4cHM+fncyw7nML0fq2bXVRVXlfO1uStrIlZQ2pZKiCH1aa1n8a00GmUVSn4ad8+zqWXUFxZh2MzgdpbaUwnLxJyK/jiyF42Zn6LpNBzm99tvN//ffPPVRAEQfj7ibCWIAj/lbZu3YqNjQ16vR6dTse4ceN48skn+fXXX+nb98qKf7VaTY8ePYiJiWmwfe/eV9rpODk5ERwc3GjMjUhKSmLBggUcP36cgoICjEZ5BUhaWhodOnRo8T50Ol2L5t+pUyfz956engDk5eXh6+vL3LlzmTFjBqtXr2bYsGFMmjSJwMCWf5AQBEEQBEH4x6Ufl//07Xnj21YWQkoEpJ2Ay0ch909tI+x9QKGC0nQoToWDH8Hhz6Hb/TDoJbC5gRWilo5wxxfg1w82z4LzP4GDHwx+8cbn3YTM8kwAvG2bX/ULcOaPx9jVo9MtrzjVy7MXGxM3cjz7OEn5FSzen8Tv0TmU11xp5aCQwN/ZmnB/R+7s2oqenvLP7VzeOap0Vdc8yd5SkiQxppMni/Ylsj0qW4S1BEEQBEG4aW0c2+Ci6ESB8QIJdRuAIU2Om9NlHge3RKLQFLHg8AI+H/w5vX3ao8u9C43nL3x94WsWDl6IjSmYCkUcSSUJ9PLsxfHs42zOeQ2l5R3Y147hi6G9Gu172eEU3joeTXd/R9ZN6GO+PaU0hSf3PUmtoZb+rfqzcPBCQMlrlokUK44y/fffqDPW0NerL8bsMWSRz86UHcQVx2GlsuK+dvdhX1vKgs1n2ZvzIyjhvnb3MSq4FW9Yx5JXXsuRpEIGtnXFaDJyIP0AACF2PcgDLmaWNRvWAugdKIe1TqYW/ZUfgSAITUgtlCtBBbrZMMC7I2qFmtSyVJJKkhoEhU6kFAIKwh3HcrxkFd9f+p67gu5CkiQCHALo7nA3x4rXYOW5GYPiAcAHSZKYEzaHTq6deOPYGySVJgELsfJvRbXFVEprXbDX2gPyZ68QpxBCnEL4aqMPFZXVLH7Ii1JTAlH5UVwsvEhqaSr51fnkV8vVoC084XDFJg5vufJ4lJISCQm9qfk2gApJQQfnDgzyGcRt/rfhZ+fX5LjimmLO5p3lbN5Zzuef51LBJeqMdVf2owaTSUln14708+5DP69+tHdpj0JquJAqxNOWvbF5JBdUUKWr4lDmIXam7ORgxkHz/iQkenn2wt7Qh3UHHbEL9b6hoFa9MZ08+WhXHJkl1ey4mM1dXa98rtcZdURmR7I9ZTu7L++mWl8NgJ3GjntD7uW+dvfhYOEAgLU9tHW3IT63gqNJhdzeyfOG53IzHu7vzs+5v1Bp0KMvD6E2617q9BK3qJC3IAiC0AIirCUIwn+l+ipaarUaLy8v1Go158/LJcX/XGbXZDK1qPRu/RiFQoHJZGpwn06nu+a2Y8eOxcfHh6VLl+Ll5YXRaKRDhw7U1dVdc7s/z7Ol87+6rWH9ffUBsddff50pU6awbds2duzYwWuvvcbatWu56667WjwXQRAEQRCEf9RleYU/vr2vPe5q2edh/3uQsAv+aJ0gk8C3F3ScCO3GXQlj1VbIYyO/g7SjcGq5XH1r6KsQPv3GqmN1ngxGvRzYOvABtB0Brbq1fPtm1K+q9bX1bXZMVZ2OYv1lJAVM7HAT4bbrqA9exRXHMfKLbejqbAA5oGWlUVFVp8doguSCSpILKvnlVAYD2rrgbutBblUOp3JPMcB7wC2Zy6iOclgrIj5ftEIUBEEQBOEv8VWMl8NaVQc4mXOS7h7dG43xc3KmOnMKVn5L2Je+j5WXVvJQh4dopepPZlE6GqdjvHz4ZTrbzOFw2cdk1cTRz/ZulJKSI1lHsPRaxyX9URadGY27lTt6k55KXSVGk5FN8cUorbX0Ce5nPicYmRPJ/EPzKaktoYNzBz4e+DFqpZr8qnxcAn4g33iOOiP09erLJ4M+4bNdl0GRzr685QBM7zgdBwsH7upqw/vHFmFUFuOocWFy8GQ0KgWjOnjw44k0dkRlM7CtKxfyL5BXnYe12pqeXj05eCGJ5IKKaz5vXf+oRBOVWdric66CILRMVkkNAK0cLLHR2NDDswdHMo9wKONQg7BQVKZcEfCekIlcOLWOpNIkDmUeMn/uqi0chL7mCCqryzy570lWj16NrcYWgCG+QwhzD+Ozk1/za8JalJaZLIv9kJVxn9DVrSs9PHvQ1a0roc6h2GnsKK/VA0o6uYXi7RjOvSH3AlClqyKhJIH44ni+PnKMrMp0PF2qqaOE0lp5fgaTocHjs1JZ4W7tjp+dH20c2tDBpQNh7mHmkNjVSmpKOJl7kpM58ldiSWKjMQ5aBzq6dKSLWxe+2qGntMSL10YNpa27bbPPsb21DpXdWQ6V/sqgXy6ZQ1IAgfaBjAkcw5iAMXhYexARl8e6AyfNIbobpVIqmBTuzed7EthyLouebRScyD7BsaxjHM48TLmuvMGxJwVP4q6gu5pc7NQn0IX43ApOpPznwlrvRr5LpaEAB7UnWTn3sjUjl0tZh/lscpcGVckEQRCEv4848ykIwn8la2trgoIa9vkOCgpCo9Fw+PBhpkyZAsghq1OnTjFnzpwGY48fP46vr3zRq7i4mPj4eHPbQFdXV3JychqccDh37lyzcyksLCQmJoZvvvmG/v37A3D48OEGYzQauTStwWBotP3NzP962rZtS9u2bXnmmWe49957WbFihQhrCYIgCILw/0NNKWSdlb/363vtsQAmk9yCcP87V0Ja7h3kbX17gv+ApqtlaW2gwwT5K/UI7HpJbpO4/TmI3QZ3fQO2zVcVaKTrVEjeD1Hr4PdX4KHtLd+2CTqjjpTSFIBrruLdcvEikqIWTEpGBXdqdtzNslE7YCv5UW66jMkigUGtb+OJwUF09nFArVSYWyJGZ5exOzqXX09ncDC+ALfWgWCRw8GMg7csrBXiYUtrF2tSCio5EJf/HztJLQiCIAjC/x4HZQB1+T3QOEbyyuFX+GXsL40CAxZqJXaK1lTmjsXCcxOfn/mcEKcQAlytSY65nYBWpWRURxMnraY6ezxW3mv4Jf4X5oXPw9+mAz/ErkCvymRp1NLGE1CClS8sT1vBT2ssUUpKKnRyUKqNYxu+GvYVVmorzuSe4ZmIZygyFmEyKrGsHMVXQ99GqVDi62yFhfsWakzF+Nn58UD7BwDIqUpF6bQPE+CvuAcLlQUAI9rLYa19sXmYTCa2p8jvVwf7DMbfXn7smcXVjed6lSA3ObhfWq2jpEr3H2nHJQj/FsVV8sJv5z9+r/p69eVI5hGOZh3lwQ4PAlCjM5BeJP+edmnlyd3ld7Py0kq+vfAt/VvJ1ybOpZVTo5uCd/tvSSpN4pn9z/Dl0C/NrwX2WnsGuDzIqh2t8fK+iJtXFIkliZzKPcWp3FPm+bSyaYXK0w5q3NmfUUNXQzD+dv7YaGywUlvR2bUznV07E3EykKS4bKZ2CWV6v9bojDqqdFXU6OXwmUqhwlptbT5+U/Kq8jibd5YzuWc4lXuK+OL4RmMC7QPp4taFrm5d6eLWBV9bX/P1m5Xb9lJqqqFG1/D6i8lkIqEkgcOZhzmUcYjTuWewbGWkCEAP3jbe3OZ/G6NajyLYMbhBANXDXp5vbllNi35+V6vWVxNbFIvB9hQWXhGcNKQxYn1JgzFOFk4M9xvO7QG308W1yzXDr+H+jqw8msr59JJmx9xK+9L2sT1lOwpJwVfDP6a2jzdP/XSWlIJKxi8+wmMDA3l6aJtmWzsKgiAIt4YIawmC8P+GtbU1jz/+OPPmzcPJyQlfX18+/PBDqqqqmD59eoOxb775Js7Ozri7u/Pyyy/j4uLCnXfeCcCgQYPIz8/nww8/ZOLEiezcuZMdO3ZgZ2fX5HEdHR1xdnbm22+/xdPTk7S0NObPn99gjJubG5aWluzcuRNvb28sLCywt294AuhG5t+c6upq5s2bx8SJE2ndujUZGRmcPHmSCRMmtPBZFARBEARB+IelHJRDV85B4OBz7bEmE2x9Bk6vkP/e/i4Y/DK4tLmxY/r3hUf2QeRS2PO6HLr6pj/c/b1claulhr0B0Zvh8hFIjwSfHjc2j6vEFcWhM+qw09jhZePV7LjfE+XqsvZKbzQqdbPjbkZ5jY6ZP5ymoNQfrctlugbnsGJ89wYnkRUKCXc7C9ztLBgc7MaDffyZtiyS/PxArHzkVeC3quqCJEkMD3Xn24PJ7InJFWEtQRAEQRBumr2lmtq80Ti5XCarMov5h+bz5ZAvUSoaXnj2srckOrsnAzpWE1mwi3kH5zHA6S1ARSfNk1SbXqGg5jJqGxdsKu+gwnoLH536iOfCXqAiYT5qu4tM6muiWl+OUqHEWm1NabWendFJqCwKUGkLzJVdLJQWjAsax9PdnsZWY8vJnJPM2jOLGkMNbRzacvHcGCqq3UgvqsHfxZoM/X7UDmfAJPFmnzfRKrXojDpeOvwSJuS2VdEZAeb3Yj1aO6FVKcgrryU+r5TfU38HYFTrUWjr5HBIYeW1uwRYqJXYW6oprdZRUFErwlqCcAtV/NFq3tZC/lzXx0tukXo69zTV+mosVZbm4JClWomTtYYH2j/AT7E/cT7/PEeyjhBs153Sah0KyZ4vh37Fo7sf5kTOCZ7Y+wSLhiwyV23KLK7GZLCmvfUdfDvuTdLL0jmadZTTuae5UHCBzIpMMisyUdpkorSJ4cMzEeZ5Olk44WPrg7etN17WXlRbSCit67iQZySrQoudxg4btU2DAKzBaKC0tpSS2hLyqvLIKM8gtSyVhOIE4oriyKvOa/R8BDkE0d2jO909uhPmHoaThVOzz53pqm8yKzKJzI7kRM4JIrMjza0azXOpccdLE86iO6bRzqlds59V7S3ln0NFbfNtHEEOhKWUpnA27ywXCi4QVRBFUkkSxj8Wk6n/eBqUkpL2Lu3p6dGT/t796eTSqdH/Oc2prxaWUnBzVb5uRElNCW8dfwuAB9s/SCfXTuAKO57uz2tbLrH5XBZLIpL4/VIOH07sTJif498+J0EQhH8rEdYSBOH/lffffx+j0cj9999PeXk54eHh7Nq1C0dHx0bjnn76aRISEujcuTNbtmwxV79q164dixcv5t133+Wtt95iwoQJPPfcc3z77bdNHlOhULB27VqeeuopOnToQHBwMIsWLWLQoEHmMSqVikWLFvHmm2/y6quv0r9/fyIiIm56/s1RKpUUFhYybdo0cnNzcXFxYfz48bzxxhstewIFQRAEQRD+afG75D+Dhl1/7N43/whqSTDmUwh/+OaPq1BCr5kQOBh+eQDyY2DlGHm/3aa1bB/2raDjJDj3I5xa8ZfCWmfz5OpinVw7oZCabsloMpk4lxML9tDGKajJMTfrcmElj3x/ivjcCqztQoEDZNWdRW/So5aaD4W1dbflq6ndmPRNGSajmqzKLGKLYmnn3O6WzKs+rLU3Jhe9wYhKeQPtKgVBEARBEP7g5WAJRgtCpNlcVL7L4czDfHr6U+Z1n9dgnLejJdHZZfSxf5RqsogqiOKo6UNQzCCr0IWPbv+IGbtmoHY4TXGOH9PDH+D7mFV8fPoD7Dz7U5Y1gmltBhPicWUR6G/ns9iUeZYwP0d+ejic7MpsDCYD3jbeaJTy+cnowmie3PckNYYa+rXqx6eDPuWBnHNEphRxOLGA1OqT/JKyEAB94Qg6uXQB4Luo74gpisFOY0dhwQQKaupIzKugjbstFmolXX0dOJ5cxKbowxTWFGKnsaO3V28ScuTAWHnNtUMJABZqBaXVUKs3XnesIAgtV2uQf6e0KvkzToB9AJ7WnmRXZhOZHclAn4EUV+kAcLLWIEkSLpZyq9Pvo79n0ZlFvNzlGwBcbLR0dmvP4mGLmbVnFidyTjBtxzQ+HfQpvna+lPyxH0cr+TXHx86HyXaTmRwyGYDS2lLii+N54tftlOjT6eBfQ2FtBoU1hRTVFFFUU8T5/PPmuVv5wr5y2Lf+yuNRKVRISJhMJvSma7+2KCQFbRza0M29G2HuYYS7h+Ns6Xzd50xn1BFfHE+VRQQW1sk8dfRTCmsaBr8slBaEe4TTv1V/CvMD+WR7AQGh7oQ6h15z30qFHOLSGUwNbjeZTCSXJnM8+ziR2ZGcyTtDSW1Jo+1dLV1p79KeS8n2XM5y5f3bxzAprPmq2dfi9EcwtqxGj8FoMs/tVjOajCw4soCC6gIC7AOY1WWW+T4HKw0L7+nK6I6evLLpIkn5lUz6+iiPDQxkzrA2aFWiypYgCMKtJsJagiD811m5cmWz91lYWLBo0SIWLVp0zX3069ePixcvNnv/zJkzmTlzZoPbXnrppWbnMGzYMKKjoxvcZjI1fBM/Y8YMZsyY0eC2P+/nevMfNGhQo/126dKlwW0//fRTk9sKgiAIgiD81zMaIUFe4U/bEdcee3E9HP5U/v6OL6Db/dfeb1kGVBeDhT3Y+4KimZCPazDM2AObZ0P0JtjyJOTHwfA35UDX9XSbJoe1ojfD7R+Dxvr62zThWNYxALp7dG92THxuBVVkoQZ6tLo1YSiTycSW81m8suki5TV6XG21LL1/Mk8dWUtxbTEnc06aV3g3J8zPkTu7tGZ7XhvUttHsT99/y8Ja3XwdcbRSU1yl40xaCT1aN7+6WhAEQRAEoTlt3eV2fpl5Trx151vMOziP76O/x9/en0ltJ5nH+TjJVWiyS/QsHLKQe7bdQ15VBpatfiIx7zG6ewxndpcn+OLcIlRum+nk+A1PdLHly3NfYrI7hLU2hk0JZcywH4VaoSazIpP9GSdROyagsnPlfL6aEKcQbDW25mOezDnJnP1zqNRV0t2jO58P/hytUkvfQBciU4rYmrSb+ITFGEwGjGXdqM4fSFpRFUZVDt9ekBebvtzzZVaVOXIipYiz6SW0+aMqS2cfOax1JGc/AEN8h6BWqLFQ1wJQq2/YQqwp9SGt+kCJIAi3htEon+OvD+JIksRA74GsjVvLvvR9DPQZSHWd/Dtqob7y+ze943TWJ6wnpiiGvek7ATscrOQFNmHuYSwbsYzZe2cTVxzH3VvvZm7YXOoMHQFQKZupKqW1p7tHd9paGjmUUMCkPh25p4cvFXUVXC6/TEZ5hlx9qzyTlJJMjqeloFCVo9HUoDPKQTC9sXFAy0plhZuVGx7WHvjZ+RHkEESwUzDBjsHmql/XUlBdwLm8c5zLO0dUQRTRhdHUGGrACdRAYQ2oJBXtXdrTw6MHvTx70dmtM1qlFoAvshKAAnNI7Vrq/nit06gkMisyOZlzkhPZJziRfaJRtS4LpQUdXDrQ2bUzHV070tGlI25WbgDMSD9JclUeesPNV8I2/PFvQyHJX3+XxecWE5ERgUah4YMBH5ift6uNaO9Bz9ZOvPlbNBvOZrIkIolDCfl8eW83/F1u7vyHIAiC0DQR1hIEQRAEQRAEQRD+MzJPQUUuaO3Ar1/z44pTYcvT8vd9n24+qJUXC0e/gLhtclCrnqUTdJggb9tUq0WtDUxaCQc+gIj34NiX8jHHLwXNdU4g+/QEBz8ouSxXCesw/trjm1ClqyIyJ1J+eF59mx13KCEfhUZeNdy2BZW1citzOZFzgoq6ClrZtCLMPQwbjXyh0mg0cTixgC/3JxKZUgTIoavFU7vhbmfBUL+h/Br/KztSdlw3rAXw6IAAtqwIRW0bze7UvQ1W5P4VSoXEwLaubDqXxb7YPBHWEgRBEAThpnRs5QBAQl4FvdyHM6vLLBafW8y7x9/F387fHJj3cbQEIL24ClcrVxYNWcS07Q+ATRyF1VupqhvMjE7TWRoZQY3mAm+dnM/GO38hxCmEZ/a9hE5bwI/JH/Jj8ocNjm/hAdF6eHjXd0hItLZvjY+tD8U1xVwouADIFVYXDV5kvlje3d8Rld1ZLunWgWRkuN9wEi6OI4oKorPK2JDzLnqjnkHegxjVehTHPS5xIqWoQdusEA9bwER67UmQYKjvUOBKOKQ+LNKcGp3BXJHH2abxRXxBEG6tYX7DWBu3lr1pe1nQa4E5tKO+qsKwk4UTMzrOYOGZhaxP/QYUT6JVXWlB2MGlAz+P+ZkXDr7AmbwzvHX8LVzUrVHZ9qJad+3W8sHuthxKKOBiVikANhob2ju3p71ze/MYk8lE/w/3k1FczdL7w+gXbE+NvoZaQ625DatWqcVGbYNa2fLAkslkIqMig5M5Jzmde5qzeWdJL09vNM5GbUtJsSeGaj+W3zOJbu6dmw1+Zf/RRtLNrvnXrxp9DbFFsfyeeBILrwg01mmMXF/SYIxWqaWLWxd6efaiu0d3Qp1Cm31s9a+ZthY3f8k9vagKAHc7i2bbNv5Vqy6t4psLcmW2V3q9QohTSLNjHaw0fDq5C7e19+DFDRe4mFnGmC8O8/nkLgwLdf9b5icIgvBvJMJagiAIgiAIgiAIwn9G7Db5zzbDQdXMSlejETbNgrpy8OkFQ15tPMZkgiOfw763oX41r1Ijh7Sqi6G6CE4uhbOrYcgr0Gt240pbkgSD5oNzkHy82K2w+k6Y8jNYXqNFtSTJAa3Dn8nVv24irHU48zC1hlpa2bSirWPbZscdTcpHoZXDWoH2zbdTMJlMfBf1HV+d+wqD6Uq1BK1SS1+3O7CsHE1ETCk5f5y41qoUzBoUxKzBgeaLAGMDxvJr/K/sSt3FC91fMIe8mhPiYUdrq+5km9aTWBpPdkU2njbXvhDQUkPaubPpXBb7Y/OYP6r5E8iCIAiCIAjNcbXVEuRmQ2JeBUeTCpnZaSYppSnsSNnBcwee4+cxP+Nh7YG3o3zBP6tEfp/U3rk9r/d5jZcOv4TWdR8bY/YztfNwulnO4lDVq5SSxxP7nmDFiBXc7riQn+PW4up5iXJDJiZMOGodUejdyClW4e+qxqTKI6syi+TSZJJLkwG5Hdj4NuOZFz6vQeAgx3gMC69fQDIxwncM7w94iwVF0URlVLArdR8nS06iVWqZ33M+kiThbmcBQEF5rXkf/s7WKLRZ6KViLFWW9PLsBYCEfPH/2lEtSM6Xg1+2FiocrW6+SowgCI3VV0wyXBWaDHMPw0HrQEltCWdyzwABTW57f+j9bEzYSFp5Glq3HZh4oMH9HtYeLBuxjLWxa/nq3FcU6FKw9E5hf9U23jw2gt5evens2hlXS9cGYaBufo5wOIVTqcV/PqSZJEkMCXHj+2OX2ReXx/D2HliqLG/48ZtMJlLLUjmVe4pTOac4k3eGnMqchsdCIsgxiK6uXeno2pFOLp0oKLbj7m9O4GVvQT/v3tc8Rsofr2F+znIFKIPRQGJJIufzz3Ox4CLRhdEkliSaPzer7eXXRZWkItQllJ4ePenp2ZMubl2arDr1Z3V6I9HZZQAEul77M/S1RKbKC6rae9ldZ+SN0xv1fH76c1ZFrwLg8c6Pc1ebu1q07cgOHnT2sefpn84RmVrEI6tPMX9kCI8OCPjbQmWCIAj/JiKsJQjC/5Sm2ggKgiAIgiAI/yXqw1ohtzc/5tQyuHwE1NYw/htQNvGxdf+7cPCP6gXBo6H3E+DTA5RqMOgg5SAc+hQuH4bfX4Gk/TDhO7BqokpTx4lg1wp+ugfST8CqsTDt/9i76zCryrWP49/d093NJBN0d3cJCAZ2YsfxGMduPRZ2goggKiEgId3dA8N0d3fuev94JhgmCPFVj8/nurzWYq1nr/3sjTPsvdZv3fe69sc2ibpWhLUSt0BNSedj2/Fb2m8AjA8Y3+EJToPRxNHMZBR+etQKDT62Ph0e7+f4n/nopGiz3d2lO65WrpzMi6WkIYcduSsw1hyhpvJObC2smN3bh3uGB+Ll0Prkei+3XgTaB5JSnsKapDXcFHHTRV/HlMhgvkz0Q22Vzt7svcwNm3upb0GnhgW7oFBAfH4lueW1eNpf/oUASZIkSZKk4SGuJBVUsTOugMndPHl58MuklqcSVxLHU3ueYuGEhXjYi8BTbnlt8+OmBU3jv7s2U6bezSdnX2ViaG+6uruyZc+tOAZ/zrniczy+63H6Of2LhuJRhLtdz+c398BkNqFT6XhjYyxfnU1hSJcuPD81gqLaImKLY8mvycdKbUVv9954WHu0muuB7AO8eugFFAozDaX9mTzgEdRKNd19HFh+JJ1DpctAAfPC5+Ft4w2AtVa08K7Rt4T1Pe0tUdvGATDQYyAWavH6LvWaelN1nQhPO3khXpKuMmVjWst43vULtVLNSN+RrElaw5b0LYx2nQ+A4YIqeDqVjhcHvcidW+5E63iYyoq+wLBWY9RKNTdF3MSUwCm8uf8bNqStwqCuYEXCClYkrADAVmOLl40XLpYu2OnsUGOJzr2AFKOG94+cwdnaBguVBZYaS6zUVliprbDWWhPh34DiaDnb4sy8aoxErVJ1+DqNJiOl9aXkVOWQVpFGUlkSCSUJxBTHUFZf1mbO3V2608e9D73de9PdtTt22taBpR1nRNC1q2fnQSaz2UxsXgUKbSHJ9Ru5f9spThacpEpf1Wask4UTVqYuJGe5MNyvDx/NmnFJbRovtDO+gJoGIy42OsLcbS/+gA5sOiNCayNCXY8R5gAAAQAASURBVK/4GO3JqMjgP/v+w+nC0wA81Osh7u5292Udw9PekmV3D+DlX2NYeiiDNzfFkVtexwtTI5r/n5YkSZKujAxrSZIkSZIkSZIkSX+84mQoTgSlBoLHtj+mMg+2vyLWx74EjgFtx8SubwlqTXwLBt7Xer9KA8FjIGg0nPgONj0NydvhqxFw/Q/g0a3tMf0Hwe0bYckMyDsDy+bArb923BLRIwo8ukNeNJxeDoMeuJR3AIBqfTV7svaI6QdM7HBcTE4FNYocrIAu9gGole1/fS+pK+H94+8D8EjvR7gl/A4e++kU6WdyUFnHY+XzEyqrdCYMP8JH415Dp27/pLpCoWBe+DxePfQq3537juvCrrtoC4uRYW58djIMtVU6+7P3X7WwlqO1lh4+DpzKLGNXfCE39Pe7KseVJEmSJOmfZWyEG4v2p7ItNh+D0YSl2pL3R7zPnPVzOFFwgm/OfMOcoNsBKKpqoMFgQqsWVUcHOdzG+qI4qizyef3w64xxfwKz3hmX6vsps/+Y/Tn7qXQyg2IS8fkVaJQtn5vcbEU1lpwyEQBzsXRhmM8wOhJbHMtjux7DYDbgqhhISt50UovEY7v72KOyiaNOkYWV2oo7ou5oflxTluP8S+XONlrU1vEA9HVr29radJGbXM9mlzc/ryRJV5eqMQB54c3mEwMmirBW2hZGu94DtK6+1aS/Z3/GeM1ke84vlFovoaBmFm5Wbm3GOVo48lCvB/h5axg62xTmjariVNEJksuSqdRXEl8aT3xpfPN4beO9R9/G7ux0/jYhUAf0XvofLNQWWKot0aq0qBTiO6bepKfWUEtVQxXmDur4aZVaurl2o59HP/q696WbS7eLhqR2xIlq0wO6dHyTVGZFJoujV9LgsR4bXQFLE1v2WWus6ebSjW4u3Yh0ES0e3a3cuebT/TQUlzN+VPcrCmqZzWa+2iOCZLN7e19xcOlsdjlnsstRKxVM7nZ1qlVXNFSw6Mwilpxbgt6kx0Zjw4uDX+z0HERnNColr13TjQBna17bEMviA2nU6Y28MbObDGxJkiT9DjKsJUmSJEmSJEmSJP3x4jeJpf9gsOjg4s/2V6C+Arx6Q7872+6vKYFfHxHrgx9qHdSqqwB9LVi7gFIlygf0uQ28+8JPN0FpKnwzDqZ/BN3bCRW5R4qKWosnQ/YxWHMfzFnccRmCvrfD+sfg8JfQ/972K4C1Y3fmbuqN9fjb+RPuFN7huEMpxah0+QAEOwR3OG5F/ApqDDWEO4Vze+TtPL3qDBvO5KJRKfn3iGuIDBzC/O13c7BgA5mVdxLs2PGxZgTP4PPTn5NXnccvSb9cNHzVzdseC0NXzGzhcO4xTGYTSoWy08dcqlFhbo1hrQIZ1pIkSZIk6Yr0D3DC2VpLcXUDh1JKGBrigq+dL88OeJb/7PsPX57+kpE+I9GqlDQYTRRU1jW3Rezq7szK6OuwCfyUrelb6ek0HNCQnuPCwukLeGTnQ0SXHMDSN5es7BspqqrHxUaEtLp62AFmTuWkkVhqh5eNF9Ya63bnmFCawPxt86kx1NDfoz9djA+TQgaZJTUAhLjZYOGyC4CJfrOx17V8jq6uF+3ArbUtn0NrDJUoLTMBiHIa0Lxd1VTRp50AyPlickQ7ryhvGdaSpKut6avlhZnJAZ4DcLZwpriumJiyQ4AKg8nU7jFu6foAW1IOorLI41+7/sXCCQvRqrRtxvk4WmJroaOyMoRZ/kN5YbA99cZ6MioyyKvOo6i2iMqGSqr11RxIyeVIej6eDioGBttRb6inxlAjglf6Kmr0NVQ2VFLRUAWYMGOm1lBLraG27QQbKRVKXCxd8LfzJ9A+kFDHUMKdwunq1PWiNwWdL6mgioMpxQBtgkxGk5Fdmbv4Mf5HDuUeAkClA4VZxUCv/gzxHkI/j36EOYahUra+aSmrtIbTWeUoFDAy7MqqWW08k8fx9FJ0aiV3DO1yRccA+LIx8DWluyfONhdvvdiZotoilsct54fYH5orig32GswLg15orsr4e9w1LBAnay1PrDjNj0cz0aqVvDw9UlZilCRJukIyrCVJkiRJkiRJkiT98RI3i2VoB3dy5sfAqR/E+uR3RODqQlufh5oicA2H0S+Is9ynf4T9H0JhrBijsYLAkdDvLlFdyyMK7t4Bq+4SFbZW3y3aHU54A9QXnAh1jxDVt76bDufWwMFPYfCD7c+3+/Ww/VUoS4eYX6D7nEt6G3ZmiruVx/mP6/SE5sGUYpSNYa0gh6B2x5jNZtYmrwXg5oibWR+dx4rjWSgV8NXNfRnV1Q0IYozfGLZnbGdp7FJeGvxSh8+pU+m4q9tdvHXkLb48/SXTg6Y3t85pj0qpYIB3Nw4atVQbKkgqSyLUMfQi78ClGd3VjQ+2JbAvsYh6g7HDimCSJEmSJEkdUauUjI/0YPmRDNZH5zA0xAWAqYFT2Z6xne0Z23nx4Iu42d9FVkkDueXnhbU8bTHVe6GtGke9zW98c+59bK0epbJGhz2RfD72cx7e+TDV1qlYBS7gnYNF3NtvMtX6ag6VbcMm+BeqNKXMWidCCz1dezItaBoTAiZgq7VFb9KzLmkd/z363+bg/YJRC/j5SBEAhVX1AJwuOoHSMgOzSU2gdlKr11dS0wCIqqRNDuceRqEwY6x3w07j0ry9qWKY3mjGZDJ3WAklpVBc3A9xu/J2XpIkta8ppHXh10C1Us20oGksjlnM/rzfgCl0kNXC3sKa2qybsOnyKacKT/H8/ud5c9ibbW6aUSgU9PR1YG9iEScySonytken0hHiGEKIY0irsRO8qxh9ZDeZhQpWzRnTYWBoxbFM/r3qGCEeahbd3pNaYy16kx6jyYgZM1qlFp1ah73WHjudXauKg1fCZDLz8q8xmM0wLsIdXyfx+7neWM/apLUsObeE9Ip08XpRoNV3paygG0+PmMVdQyI7PfaKY1kADAp0xs224++8HSmraeDlX2MAuHdEEO52l38MgKSCStZH5wBwz/DAKzoGQFxJHMtil7ExZSMNJvFvQ7BDMA/3epiRviOvaphqVm8fVEoFj/50iiUH03G10fHQmJCLP1CSJElq4+rc8ipJkiRJkiRJkiRJHamrgPQDYj10Qvtjdr8NmCFiBvj0bbs/bT+cXCrWpy0QYa4198Ga+S1BLRSgr4H4jbB0Fnw3TbRftHKCeStg+L/FsKPfwMJxYt+F/AfDxDfF+raXIPd0+/PVWsGg+1vmbjR0/h4g7vw9mHsQgOE+wzscZzCaOJpaglKXB9DmZHqTxLJEMisz0Sq1DPYYyWsbxPvwyJjQxqCWcFP4TQBsSt1Ejb6m0znOCZ2Dh7UHBbUFrEhYcdHXNDzUE2OtqHx1quDURcdfqkgvO9xsdVQ3GDmUUnLVjitJkiRJ0j/LtO6iEstvMXnojSL9oFAoeG7gc9hqbTlXfA4LJ/E5taltIUCkl6gsVZQ5lC52QZTWl+LktxGAw6nF9Pfszw+Tf8BB5YdSXc3GnC+ZsXYGN268ke/OLUKhKcVsVqLBGpPZxImCE7x88GWG/zicqb9MZcSPI3jp4EvUGGro59GPr8d/ja3WFlsLcX99U9WshWcWAqAv70NqfuvLOQWVItDlatsSrDiQI16LsTqkVfUeK21L8L1Wb2z3vao3GCmt0QPg7WB5aW+wJEmXrKkNaXvBmamBUwE4XXwIlLUdFni20Kgw611oyJuHWqFmY+pG3j7ydpvWiiCqCwIcTC7udF6BrjZ087bHaDLz6+mcDseNi3BHo9SRmKukrtaBUMdQIp0j6e7anR6uPQh3DifQPhBnS+ffHdQC+HhHEnsTi9CplTw1sSsVDRV8c+YbJq2axKuHXiW9Ih07rR13Rt3J631/oCjpVtS1fbm2V+fBoQaDieVHMgC4rp/vZc/LbDbz3JqzFFTWE+hqzf0j27+56lJ8sC0RsxnGR7g3/7tzqfRGPRtTNnLzxpuZ8+sc1iStocHUQHeX7rw/8n1WTV/FKL9Rf0jVqxk9vXl5ugjEvbc1gU1ncq/6c0iSJP0TyLCWJEmSJEmSJEmS9MdK3g4mAzgHg3M7JzJLUuHcOrE+4qm2++srYe0DYr3PbeA3ELa+AKeXg1INY16Ap9LghWKYvw8G3AdqC0jbC18Mg+ifRbhr9HMwbyVYOokQ1hfD4MjXtLltud9d0HUqmPSw+l4w1Lf/uvrfC5aOUJwIZy4ebEopT6G8vhxLtSVRLlEdjovJqaC6oQGVrgDoOKy1P3u/mIZnf1YdL6Cwsh5fJ0vmj2x9R24f9z5423hTY6hpvoDXEa1Kyz3d7wFgccxi9EZ9p+NHhro2h7WO5Z7qdOzlUCoVjI1wB2BLTN5VO64kSZIkSf8s/buIVohlNXoOpbQEFlwsXXii7xMAFGrWodAUkV7cEmq3t9QQ6GINqJnp+xhKhZISxWHUtmfZnVAIQKBDIJ+MXEJd7kxMtX5Yqa1xsnBitO9o7o98iar4lyiLe56PhqzksT6PEewQjMFsIL0inUp9Jc4WzjzR9wm+GvdVc3vDpkvqCuBs0Vn25+xHiZKG4uHE5JS3em2FFeIzqrudCGuZzCb2Zu0FwFAVhlrVcvnHUqNqboVYWdf+TQZ1DS2fia11sqqpJF1txsY8lbqdynahjqGNvyP0aOzONP+8Xkjb+HPdUBnMK0NeAeCHuB94+eDLGE2tg5hDGqsJ7kssag6rdmR2b9Ei7+fGilPtcbDSMiLUrXFcZqfH+z3MZjOf7Ejkg20JgJn54y1YnvwBY1eM5cMTH1JYW4iHtQdP9XuKrddu5eFej7B4j2jhem0fHxys2raFPN/GM7kUVNbjaqtjUpRnp2Pb88vJbNZH56JSKnh/bk8sNFf2+zI+r5KNjSGnx8ZdeoXqotoiPj/9OeNXjeepvU9xqvAUaoWaSQGT+H7S9yybsoxx/uPaVFu72m4ZFMCdje0fn1wZ3dy+V5IkSbp0MqwlSZIkSZIkSZIk/bHiNohlRy0Qjy0EzBA0BtwvaFdgNsOvj0BpKtj5wLhXIGk7HPxE7J/1NQz7lwhNKVXg0Q0mvQUPHIaAYaCvFq0PNz8LJiOEjBOBLv+hYt/GJ+DrUZC8o3VfimkfgbWrqNq16632521hB4MfFut73xXH78S54nMAhDuFd3qn8eHUYpS6AlAYsdHY4GPj0/64vMMADPQYxOL9aQA8NCqkTctAhULBaL/RQEsbxs7MCJqBq6UrBTUFbMvY1ulYXycrPHVhABzJPXnRY1+OcU1hrXP5mExt7xSXJEmSJEm6GLVKyYQoDwA2nmkdAJ8ZPJMBHgMw0YCl908kFZS12t83wBGAnHxXbo+8HQALj9UcSk+itFq0merh40x3+4lUp93PFLtF7L5uNx+O/pD7+s5mSjd/TGZ4Y10e14Xcwi8zfmHL7C0smrCIldNWsm3ONm6NvBW1Ut38nKWNrQ1tLTR8cfoLAIZ6jsesdyYur7JV9ZyixlaJLo0ty47nH6egtgCzUYexpguW5wUIFAoFjlbi82dJ49zbvlct4ZCGiwQ7JEm6fIbGn6v2glgKhaK5upbG/vhFw1pmM0wMmMJLg15CqVCyKnEVD+x4gJK6lqrEPXwccLbWUllvaBVWbc+Mnt5o1UrO5VZwOrOsw3E39BeVqH48mklFXec39lyJyjo9j/54kvd370HrvB2/bp+zKPVhfk74mVpDLcEOwbw+9HU2ztzITRE3YaWxYunhdI6nl2KpUfHgqM6rapnNZr7akwLALQP9m1vEXqrMkhpeWCvaHz4yJoSevg5X9DoBPt2ZhNkMk6I8CPe0u+j42OJYnt33LONXjuezU59RVFuEq6Ur9/e8ny3XbuG/I/5LT7eeVzyfK/H0pK709nOgst7Af345026FN0mSJKljMqwlSZIkSZIkSZIk/XH0dZCwWayHT2+736iH0z+K9X53tt2/9104u0pU0Jr9jaiYteFfYl//eyBqFmQchrUPwqKJ8P0s2P4KNFTDLWtFkAtEuOvHG0WVLntvuPVXmPQOaG0h9xR8P1O0TcyNFuOtnWHqB2J9/4cdt0PsfzdYOEBxEiT81ulbkVaRBnRcKavJoZQSlBbZAIQ5hbXbtsBgMnAyX4SjzHXB5JTX4WStZXpPr3aPOcp3FAD7svdhMnd+8U2r0nJt6LUArEpc1elYgJkRgwAobshqdXHg9xoc5IytTk1hZT3HM0qv2nElSZIkSfpnmRApwlrbY1sHwBUKBa8MeQULlTUqy0yOVC5qdaF5aIgrALsTCrm/5/1EOEegUNeg8f6WH4/HNo97ZIz4bPf9oTSSCiqbt788PRJXWx2JBVU8+MMJGgwmPG086efRjzCnsFYhrSZxueLxlraZ7M7ajVKh5JG+96FUiIpYhZUtFV+LG0NXztaiisySmCUA6Ct6gFnT3FKxibO1CHU1hbwuZKVVNQdBiqvaD3RJknTlmqpbaVTtX5qdHjQdJUpUVumgab+6sEZ9XqjSYGJ26GzeG/EeOpWO/dn7mbl2Jr8k/oLBZEClVDC+8fdfZ+0NARyttUzpJqpMfbs/tcNxo8LcCHazobLOwMfbEzs95qUym81kVmbyzv6ljPh2PtuqH8I6cAE6t62UGjLQKDWM9x/PwvELWT19NdODpqNRifDp4ZRiXl0vbor694QwPOwtOn2uPYlFnMutwFKj4uZB/pc9z6dWRVNVb6CvvyMPjAq+shcMZJXWsD5a/J08OLrj4+hNejanbebWTbcyd/1c1iWvQ2/S092lO28Pe5vNszdzX4/7cLVyveK5/B4alZL35vZEq1ayN7GIPYlFf8o8JEmS/q5kWEuSJEmSJEmSJEn64yRthfoKsPMGn35t96fshupCsHKBkPGt951ZCTteE+uT/gv+g0TbwtJUsPGA0c/Dludg0Xg4+T1kHBQtF/e+B58Phh/nQc95cO23IuSV8JsIdJWmg1IJA+6Bh0+KtokqrWib+NVI2Pu+uFU5fBpEXANmI6x7CIzttIzR2UKfW8X6sW87fSuyK0UAy9fWt8MxJpOZY2klqBrDWuFO4e2Oiy+Jp8ZQg63GloPnxInq2b29O2zB0NOtJ9Yaa0rqSjhbdLbTeYK4UABwNO8oRbWdn3C9sW84pnpxEWDpqYtX7rpUOrWKcZGiutaG6NyrdlxJkiRJkv5ZBgY6Ya1VUVBZT0xORat9XjZePNP3ZQCqdfv46MQnzftGhLiiUipIyK8it0zPgpELsFY5obLI54ukRziQfRCz2czwUFfGdHVDbzTzxIro5uo5LjY6vry5DxYaJTvjC7nt2yMdVrUCyCuvY9PZPFDoia5bBIjqX6FOgXg5WAKQ0dhmymw2U9lY1cbOUsPh3MPsytqFUqGioWQYFholVtrWnwvdGtsl5lfUtfv8CoUCH0fxPOe3hJQk6eowNIZF22uDCOBq5UqU42AAai32tzvm/CrKdXpR2Xms/1iWTV5GsEMwJXUlvHDgBab+MpVPTn5Cr+AKwMD66Nzm3xkduWOIaGm3PjqX9OIqDCZDmxt9lEoFz04W31G/3pvK9tj8i7zqtsrryzmce5hFZxfx2M7HGPnTaCavnsySpLfRWx1BqalAq9Qx3Gc4rwx+hZ1zd/LeyPfo79m/1Y1MB5KLuGPxUfRGM1O6eXL7kICLPvfnu5IAuHGA30XbJV5ozalsDiQXY6FR8u6cHh1WP7sUy49kYDLDkGBnIr3s2+zPr87ns1OfMXHlRJ7Y/QQnCk6IVoddJvHD5B9YNmUZkwMnN4fW/kxdXKy5eaAIvi3c13HQT5IkSWqr7a0bkiRJkiRJkiRJknS1RP8kllGzREDqQjG/iGXkNXD+icbc07D2AbE+6EFRdau2TFTaAhj9HBz6HA58LP7ccx4EjxXBsMStEL8REjZByi7RFvHWDfDjDZB/VrQ9vPZbCBwBNq5i/6AHYPN/IHYdbH8ZSpJh2scw+R1xjNzTcPgLGPxg29fQ6xZRfSt5B9SWipaM7SiuE60nnC2dO3y7kgqrqKgzYOMpwlpRLlHtjjuWfwyAbi492LlHhKlm9mq/XSKARqlhsNdgtqZvZXfWbrq7dm+1v7bByK74AmJyKjBjJsLTnkjnKGKKz7Irc1dzpa32uNlZEGrXi6T6TSw9vZm7e1+Dpbb90Njlmtrdk9UnstlwJpfnp0b8rhPikiRJkiT9M+nUKoaGuLA5Jp9d8QV082l9YXxm2Hhe2zwTvcMvfHP2K3RqDfN7zMfeSsOgQGf2JRWxPjqXB0YF882Eb7hh7V2YNMXcu+0eIp0jmRY0jYcmDOFIWgmnMstYsC2RJyaINtG9/Rz5+pa+3Pv9cQ4kFzNhwR6eGB/KjJ6tQ/ZpRdU8uPwEtYYaPIJXk1WdjKPOkQd7ic+eXvaWZJXWktcYtKrTm2gqEqZRm3jtkLjBYYTHNNadc8XD2aJNdVYvexHEyilrP6wFEORmQ0pRNYkFlQwNcfkd77okSRcyNoW1VB1/pxnsNpno0n1Uaw9To6/BSmPVar9KqcBSo6JWb6S63oizjdge5hTGj1N/ZHnschaeXUh2VTZfRn8JgG1XNaYGB+as/Y5gF2dUChUmTOiNemoNtdQaaqnWV1Otr8a+axVG9Exd3xLSUivUWKgtsNHaYKe1w1HnSNfuSlLz4aFNO7guP4x+fj5Yqi3RqXQoFAqMZiO1hloq6isorismpyqHrMosUstTKagtaPO6zWYVpjpvIhx7cf/AiQzx6YdOpWv3PTKZzCzan8pbm+IwmMwMDnLm3Tk92q1Ifb7j6aUcSilBo1Jw17AunY69UJ3eyNub4gF4aHQIAS7Wl/X485nNZtacFFW1bujv17y93ljPnqw9/JL4C/tz9jcH5ZwsnJgTOoe5YXNxs3K74uf9I9080J+F+1LZl1hIea0ee8s/P0QmSZL0dyDDWpIkSZIkSZIkSdIfo6akpQVi9+vb7jcaRKgKIGJGy/aGalhxOxjqRLWtca+I7fsXiDCUa1dwj4JfHxbbpy6Avre3PL7PbVCUKNolpu6GXx8R2+7cAituFcGrJTNg+BMw/ElQa8HBF+YugeOLYcPjcHKpqMY1+V3x/L8+DLveFKEzuwtaDboEg2s4FMaKYFfkzHbfjsoG0dbGQefQ4Vt2LK0UMKDU5WCm47DW8fzjANgSRoPBRKCrNeGeth0eF2Ck70i2pm9lR8YOHur1ECBOdC8/msH7WxKaW+k0cfDyBvuz7M/e32lYC2B+vyk8sW8T1epoHlx+lM/m9Wt11/eVGhrsioOVhsLKeg6lFDMkWF40lCRJkiTp8g0LcWVzTD77kop4aEzrltQKhYJBrtewNasOnfsmPj31KRYqC26Luo2p3T3Zl1TEmpPZ3D8yiCjXEG7yXcCic1+gdTxCTHEMMcUxALiF+9OQ685Xp93R2PVhUIAvrlauDAryZfX9g3lg2QmSC6t5atUZXv71HFHe9thbasivqONsXiZqu5PYBu+nWl2BRqnh7eFv42IpPvs4WIkL32U1ojJOvcHYPP/VST+SVpGGs4Uz/R3msY5kfBxbBzyA5upc2WUdV80K97Rj67l8zl1QgUySpN+vKayl7CRUFGbfF1O9C0pdESsTVnJL5C1txjhaaagtN1JcXY+fc8vPuk6l47ao25gbNpddmbv4Le03ThScoLy+HKWuiOy6IrKzLjJJBVw4O4PZQJW+iip9FXnVLe0ZtU5iuTJ9CyvTL3LcC1jgSlWFB4ZaH0y1/gzy7cHz1/QgzKPz77QphVU8s/oMh1NLAJjew4v/Xtu9wwrT51uwLQGAmb288WwMr16qFcezyKuow9PegjuHXl7Q60KxuZVkl9ViqVExNMSe3Zm7m7+nV+pbWun2duvNdWHXMdZ/LFrV5VUB+/8W4GKNv7MV6cU1nMkql2FfSZKkSyTDWpIkSZIkSZIkSdIfI+YXMDaAezfwaCd0lHEQakvA0gn8Brds3/WWqGxl6wUzvwSlSrQuPPiZ2D/mRVH9ymwSwag+t0Hseji9HMoywMoZugwTjz29HLa/IkJYZZlw02rY9qIIY+15B86thXGvQugEUChE6MvCDlbeCUe/AZcw6HeXGJ91BLa+ALO/aftaAkeKsFbavg7DWrWGWgAsVBYdvmUnMkpRWuRiVhiw19njZ+vXZozJbGoOa+XmieDY5CjPi95JPMJnBGqlmqSyJJLLknG18OOxH0+xPU7c2eztYMmIMFcUwK74QnJLgrC2h92ZBzEYDahVHZ9CGN1lMLaHHaikjF2Z+7juSyOf39T7sk+CX0irVjK5myc/HM5gzclsGdaSJEmSJOmKNH2GOJlRRm2DsU0V0MFBzmyIHoGPkwWFml947/h7uFu7M6nbWF5cF0NiQRWns8rp6evAAyO7serYHAqLRjOyTxYmy2hOFpykoC4draNILHyT8CvfiFwAlmpLBngO4KHp48jKCmD54SKyy2o5mpmG2iYWtV00VsEpKBQiyOFt482bw96kl1uv5vlp1aJCrb6xxWJTOzUU9SyOES0TH+n9CKmp4vPg+QGOJk0tDrNKazt8nyI87QA4k11+ie+sJEmXytz4Y9tZWEutVNFQMhwLz9UsjlnM3LC5WKhbf390t7cgp7yO3PI6erVzDCuNFZMDJzM5cDJms5nUskyuXbiRivoSZvZxoV8XB0CEuyzUFlhrrLHWWGOltsJKbcXrGxLZfLaQUHc7ltzRDxSiSlaVvoqK+gpK6ksorSulsKaYnYkpJBYVoFDVoVTqsbUyY61VY6lRY621xFpti4XSDoXRkdJyGxKyLSkqcaTSJF7TsBAXHhodQv8uTp2+dxV1ej7ZkcS3+1PRG81YalQ8M7krNw/0v+j3YIBd8QXsTSxCo1Lw4KiQi44/n9ls5rsDaQDcPSzwkoJhHanR17Di7G60zntwcs1i7KrnqDfWN+93s3JjauBUZgbPJMA+4Iqf58/g7WBJenENxdX1Fx8sSZIkATKsJUmSJEmSJEmSJP1Rzq4Wy+5z2t8ft14swyZBUxCoOBkONYaypi0AKydxVvu3Z8BYDwHDwM4TUnaCUi2CW+seFGGq86XshN3/hSGPwtzv4Zd7IHk7LLsW5q0SLRM3/huKEmD5deDZQ1TZ6joFomZDeTZsfR42PwPefUQ7xK9GwpkVMOA+8OnT+vl8+8PhzyHrWIdvh8FkAECt7Pir+JmsclSWmQB0c+nW7onn2OJYKhoqsFZbczJetF+YEOnR4TGb2OvsGeo1lF1Zu1gWs4IDRwcTl1eJVq3k6YlduWWQP2qVuBDYYDDx8Q5Pvs1aiF5VzUubd/Da5PEdHluj1HBNyDS+P/c9Vi4HOJUWzrSP9/Ptbf3atBq6XNN7ePHD4Qw2x+Tx2syoq1KxS5IkSZKkf5YAZyu8GgMOx9NL21T9GNoY5spIGcjt0634MX4Zz+17jiWT/JgU5cGaUzksP5xBT18HbHRqXpkRyfylJ9h9tCs/3nM7oaOUHMs/xqmCM/x86iRVhhIsLepRacupNdSyK3MXuzJ3oVQo8QzxxF/fQEl9Yas59HTtyayQWUwJnNKmikqdXoS0LvwcpLE/SXlDOX62fkwLmsbjx84A4O/UNqzl7djUBrHjsFYvPwcAEvIrqa43YK2Tl5Ak6Woxmy9eWUurVqIv642V2y4Kawv5Kf4nbo28tdWYAGdrTmaUkVJYddHnVCgUBDr68fCgCbz06zl2Hdfx4qiR2HTys/3KVFcOJe4hPkfPN7sLeHZKRIdjH+8L+xKLeGdLPKfTyqi+6IzA1kLNNT29uXGAH+GNAdGO6I0mfjicwYfbEylprAQ9MsyVV2dE4dvO77n2VNUbeGGtqIB4y6CAdsOsF6o31pNfnU9RbREns3JJqzuNlZMJnVMNqxNPokCBSqlCpRD/KRVKFAoFZrMZo9lInaGOGkMNZfVlFNUWkVudS3p5OtlV2Zgxo3ODCgAjuFu5M9pvNOP8x9HHvQ9KhfKSXtdfTVW9ON/xe8JskiRJ/zTyk7YkSZIkSZIkSZJ09VUVQvp+sd5epSmzWVTDAug6tWX7rrfAZIDgcaLaFcC5NRC/QYSzJr/TEuaKuEbsO7kUFCoY/CD4DxHVtaJ/gqyjsPst8O4L1y6GNfMh5yQsGg/zVsKDx2Df+3Dka9Ea8ad54NMfpn8Mgx+C7OPi+Kvvgvn7occNcPoHUdXr1nWtX49PX7HMjwFDPah1Hb41Hd35W6c3klRYhcYjA4Durt3bHXcg5wAAQbY92d8AHnYWRHl3fpK7ybWh17IraxcrE1ZTURCCq609i25tG6jSqpX8a3w4u1dGkFp9kp/O7GZUlx6MCXfv8Ng3hd/E8tjlGCwTCfQpJCXLldsXH2Hdg0Ob2+5ciX4BTrjb6civqOdAUjGjurpd8bEkSZIkSfpnUigU9OvixNpTORxLL2kT1vJ3tsbPyYqMkhr62t5Cnk82u7J28eiuR3m615esOZXD2tPZPDO5Kw5WWiZGeTKrtzerT2TzwA8nWP/QUMb6j2Ws/1hmBVQx9eN9FDcYeWZSKCO7mdiavpWt6VtJKU8huyq7+XmjnKMY6z+WCQET8LH16XD+2Y0BK1fb1p8xNQ5HAbi+6/WolWqySkWLw/ZCDN6Nn8dyyuswm83tfiZ1t7PAzVZHQWU9cXkV9PHvvNqNJEmXznwJY6y0akCNtnICdQ7L+Sr6K2YEzcDBwqF5TFOrwHO5l96u9MYB/iw+kEZacQ2f7Eji6UldOxzrZmvBW7O6M3/pcb7em0pXDztm9+n499PQEBeGBDtzMrOMnXEFHEopJrOklqKqejQqJbYWaoJcbYjytmN4qCv9ApwuGugxm83siCvg9Y2xpBSKCFiQqzXPTYlgZJjrJVXTAjCZzDy1MpqMkhq8HSx5bFxou88VWxLLwZyDnC48TUJpAjlVOZjP+xuz9BbLt45e0tN2Smm0p77ah+u7jeDGHmMIcQi55NfzV1VRpye28f/HUPfOW1lKkiRJLWRYS5IkSZIkSZIkSbr6krcDZvDoDg5tW/mRfQIqskBjDUGjxLbSNDi7UqyPfk4sq4thwxNifehj4OAPZ38Rf46YAavvEetTP4A+591x3O8u0YZx/WOQfQw2PC7aIm54HIqT4JsxcO23MO4VGPwIHPwEDn8pWh1+PUqMnfahCHyVpMDO12HUM6KyVupuyDwiqmk1sfcV7RxrS0Rgy7t3m5fcdIds0x3VF4rLq8RoMmNllQOIi3ft2Z21W6zUhom3Ktztkk/uRjj0R2Vww6guwNl7P6uuf63TO4unhAzhk1MnUVmm8eTKaLY9PgJHa227Y71svJgePJ3ViatxD9iC1jifuNxKnl59hu9u73fFJ6BVSgXjItxZeiiDLefyZFhLkiRJkqQr0jegMayVVtru/pFhriw5mM6ehGLemPIGN2y4gfSKdH5Ie52unjcTl1vNssMZPDAqGIBXZ0QRk11BfH4l9yw5xk/3DsJCoyLQ1Ybnp0bwzOozvLc1iTHhw3iw14M82OtBCmsKyarKQq1Q42/vj5324oH78lo9ifmVAIR7iovgSoUCpbYAlWU2aoWaKYFTACioFO2n3O3att1u2tZgMFFao8epg890EV52FMQXEp9XJcNaknQVNX0N7OxrkY1OhJjqy3oT0uUYiaWJfHTyI14Y9ELzmB4+DgAcSyvtMHh5Ia1ayXNTIrhryTEW7kvh2j7eBLt1HKqZGOXBA6OC+HRnMk+tisZSq2JyN88OxysUCnr7OdLbz/Gic7mY1KJqXloXw+4EUX3Q2VrLo+NCub6fLxrVpVedMprMPLfmLBvO5KJWKvjohl6tKoolliayLnkdG1M3UlBT0ObxFioLnCxcyC4Go1FLD29nXGzEd2czZowmIwazAZPZhNFkbH6cWqlGp9JhqbbEQeeAk6UTntae+Nr64m0dwNA3jmAyw323jmn3d/Xf0ZIDaeiNZkLdbejiYv1nT0eSJOlvQ4a1JEmSJEmSJEmSpKsvpTFQFDy2/f3nGgNXYRNB01h16cjXYDZB0Gjw6im2bXkWaorALUK0KYxbDw2VIgCWFw2GWlE5q/ctUJoOZ36GilxwDBBhrnt2wbI5UJwIa+8XAa0tz0HuKVgyA4Y8AiOfhrEvQv+7Yc39ooXiilthzmKYugB+mAOHPhfP0eM6Uclr/4dw/bKW16NQgFcvEVLLPt5uWEulFCfe9SZ9u29JXG4FKOpBLU5KRzi3bTdRXFtMdGE0AMlpIgQ3NvzSwkvV9QbuWHycqorxWPosxWS3i0pzKhDZ4WN6ufUCQGeTQXFOA29sjOWdOT06HP9AzwfYlLqJs8VneGxEAW+tsGZPQiFHUksYEOh8SfNsz7gID5YeymBXfOElX5CQJEmSJEk6X78AESI4kVGK0WRGpWz9eWJEqAhr7Yov5LVrovhg5AfM2ziPI3lH6N3FibjcEXy7P407h3bBQqPCWqfmq1v6MOPT/ZzOKueFtWd5e3Z3FAoF1/fzZdPZPPYkFPKfX87w490DUSoVuFq54mrlelnz/nZ/KgaTmTB3W3wcRVBAqQC1nfhMONBzEE4WIlRVUSs+Z9pbatocR6tWYm+pobxWT3FVfYdhrUAXG3bFF5JadPEWa5IkXTrjJbRBtLMQP7tVdUae6fcMd2y5g5UJK5kWNK35u1kvPwe0aiUFlfUkFVQRcomVjMaEuzGmqxvb4wp4cmU0K+YPbvN78Hz/GhdGbnkdq09k8+APJ3hxWiS3DPL/w76L1emNfLYziS92p9BgNKFVKbl9aAAPjgrG1qLt77TOlNfo+deKU2yLLUChgHfn9KCPvyO1hlp+S/2NlYkrm79XA1iqLRnoOZA+7n2IdI6ki30XnCyc+GxXMu8ciyfYzYbl04f/7td+KrMMkxmcrLW42XZcjfvvJC6vgo93JAE0h5klSZKkS/P3bHwrSZIkSZIkSZIk/bVlNfYH8B/cdp/ZDDFrxXrEDLHU14kQFMCA+WKZeQROLwcUojWhWivaGwJEzm5ZH3gfxG+ETwfAjtfg2ELY+jx81AuOfAU3rwGPblBdCCtuEwGsXjcBZti/AD4bCPGbwM4LbloFPW8SobHV94CtO4RNBrMRtr0Mgx4Uzxm/EcpbWtgALZW2Mg61+5aoleJ+KYPJ0O7+hPwqlLp8UJhxs3TD2bJtuGlX5i7MmOliG0peqQWWGhWDg1zaHuwCRpOZh5ef5Ex2ObamXgxwH47BpOfhHQ+TUZHR4eOiXKJQKVSYVGUo1GWsOJ7F6cyyDse7WblxT3dR7WxZwufM6CXmtvxIx89xKfoHOKFRKcgtryO9uOZ3HUuSJEmSpH+mEDdbbHRqahqMJDRWqjrfoCBntGol2WW1JBZUEeIYwlvD3kKBghOlv+Hsu5miqlqWHkpvfoy/szWf3tgbpQJ+PpbF2lOiQqpCoeCNmVFYalQcSS3h52OZVzTnA0lFfLpTXAR/eExIyw5zS1hrfMCE5s16owiD6NTtX/ppCnFV1LV/8wCAn5O4kSKjRH7mkqSryWQSP5+dBaQcrESI0mSGUPueXBN8DWbMPLfvOWr04mfSQqNiQBcR0Nwe17YiVEcUCgWvXhOFrU7NiYwyPmv83dIRpVLBO9f24Ib+fpjM8OK6GB784STlNR3//rhSB5KLmPzRXj7akUSD0cTwUFc2PzacZyaFX3ZQa0dcPuMX7GZbbAFatZIF13fDzT2d5/c/z6ifR/HCgReILoxGrVAz2nc0C0YuYO/1e/lo9EfcGnkrfT364mzpTFZpLZ/vSgbgwVHBVyWkdiytBIDuPvb/EzcgFVfVc/eSY9QbTIwIdWVad68/e0qSJEl/KzKsJUmSJEmSJEmSJF1d+lrRahBEG8QL5ZyE8gzQWEHwOLEtfiPUlYGdd0s1rm0vi2XPeeDTF6oKIGmb2ObVE8oaj+EcAituF1W2/AbB8H9DwDARsDr0Gfx0I8z6RsylpgiWXSsCYdctA1tP0X5x+fXw4zyoKYHpH0HIeDDUwco7YeR/QKGE+A1g1IP/UBHmOvVD69flN0gs0/a29Lg4j1rReVgrubAKlUUeAMGO7d+RujVjKwDOir4ADAl2wUKjanfs+d7ZHM/2uAJ0aiULb+3HB6PfItghmILaAm7ceCMHsg+0+zgrjRVhTqLd4qCICgBeXX+uw1aOALdE3IK3jTcFtQXYe4jQ3rbYAhoMpovOsyOWWhXdG9t9nMhov3WRJEmSJElSZ1RKBd287QFR3eRCVlo1g4NEWH5bbD4Ao/1G8/yg5wFosNmFhc9SPtl9kvLalrDCkGCX5iDVC2vPUlQlWhH6OFrxr/GhALy+MZa88rrLmu/GM7ncvvgoeqOZKd08mdzNo3lfXGksKl0BZpOa0b6jWr1GEEH99lg2fm6s03f8uczDXoS18ivqL2u+kiR1znAJYS2tWoltY6u+oup6/t3v37hbuZNRmcHrh19v/h42IVL8Pvj1dM5lzcHLwZKXpovKygu2J3I4pbjT8SqlCJ7+Z3JX1EoFG87kMvq9XSw/ktHh75nLUVBRx+M/neLGrw+TUliNq62OT2/szXe396OLizVGk5EafQ3l9eVUNFRQo69p1XLwfMmFVdy2+AB3LttMkTEaD9/9DBy0hrdiruPerfeyJmkN1fpqfGx8eKT3I2yds5UPR3/IGP8x6FStq1xV1xu4f9kJquoN9PV3ZFqPqxNC2npO/NsyNPjiN1z91VXVG7jzu2NkltTi52TFB9f1RNnJ/9uSJElSWzKsJUmSJEmSJEmSJF1dJamAGSzsRWWqC8X+KpYh40ArWrlwdpVYdp8LSpWoTpW+D1RaGPWM2HfqBzAZwLsPFCWKbUGjYdebYKwX67euh9HPwW3rYd5KsHKG3NMijHXN5+DZQwS2vp0COlt48KhohahUixaLXw6H/BiY+SXYeIj2iXHrIXKmeL5Dn0HPG8X6mRWtQ1m+A0BrA1X5kH2izctWKcTFMZO5/YtjyYVVKLVFAHSx79Jmf3l9OYdzDgOQlyMuCF5KC8QtMXl8sVvcEfzfa7vT288RW60tX4//mijnKMrry5m/bT6fn/q83bn1dhMtHQN8CrDQKDmWXsrmmPwOn0+r0jK/h6iOti37Z5yslVTVG4jOKrvoXDvTdHH1THb57zqOJEmSJEn/XL39HQA4nt5++HtchPjs+tvZvOZtc0Ln8PrQ19EoNWhsz2HweoPb1v6HQ7mHqGgQYfYHRwUT6WVHRZ2BdzfHNz/2tsEB9PCxp7LOwL9WnMJgvHh43Wgy896WeO5fdoJ6g4kxXd14b26PVlVY1iSJluLm6gjsLeyat1tqxefNqvr2bw5o0knuvrk9YllNw0XnKknSpWsKN6kvEmhxaWyPV1hZj53WjjeHvYlSoWRd8jpWJKwAYHI3T7QqJTE5FZd9M8us3t7M6OmF0WTm/mUnyLhI5WKFQsE9w4NYdd9gglytKa5u4JnVZxj17i6WHExrFV69VOW1ehZsS2D0e7tZfTIbFHom9q3mjsmp7C77gOvWX8eIn0bQ6/teDPhhAEN/HMqQ5UMY8MMAen7fk97f92bwD4MZ8dMIRvw4kj5LhjBj/XCOK+7FJvgdrPy+pdrmV04WHaBKX4WThRNzQueweOJiNszawF3d7sLFsv3AVEWdnju/O8qZ7HIcrTR8cF3PTgN2lyomp5zDqSUoFTCpm+fvPt6fSW80cd/S45zKLMPBSsOi2/p22FpXkiRJ6pgMa0mSJEmSJEmSJElXV2Xj3b12Pu3vT9gsll2niqW+FpK2i/XIWWJ56DOx7HE92PuA0QBHvxHb+twOiVvEukcPSNgEKGDSf0GlbnmekHFw13ZwDIDSVPj5FlFhy28w1JfD0lmi9eLYl+GeXeASJub+3TTRMnHim+I4Bz6CHjeI9bOroctQUOmgKB4KzrU8n8ZCVOSClhaN51EqxFfw9gJRdXoj2WW1KDTizmY/W782Y3Zk7MBgNtDFLpjYTFHxYHTXzsNamSU1PLHiNAB3Du3CjJ7ezftcLF1YPGkx14Zeixkzn53+jP/s+0+bO5X7uPcB4FzJSe4aGgjAf3+LQ9/JxcYpgVNws3SjuK6YAL9UoP0KFpcjzMMWgLSi6t91HEmSJEmS/rn6BojWYR2FtSZEeqBSKojOKiepoKp5+/Sg6SydvBR/6zAUqgaS6n/j7i13M2T5EEb8NIK7tt5BeORuVFbJ/HwsneRC8Vi1Ssn71/XEQqNkf1IxL6yLaW6F1p6S6gbuWHyUj3eIKrV3Du3Clzf3aVVJtaCmgC2Z4uYHm4ZhrR7vaCXahZV10Kas3iA+52k7aJMIYKW9ePUtSZIun8l88cpaAO52IqzVVI2vn0c/Hu71MABvHn6TvVl7cbLWMr2nqPb02c7ky5qHQqHgrVndifSyo7i6gVu/PUJBxcUr//XwdeC3R4fzwtQIHK00ZJTU8MLaGPq/vo353x/np6MZZBTXdFiFud5g5HBKMf/55QxD39rBgh3R1Fkcxj1kOc4Rr7O/+lU+i/6ITambiC2JpaSuBDPtH0tv0lOpr6SkroSS+mIazBUolOL3nlapJcg+iAkBE3ii7xP8OOVHds7dyQuDXqCPe5/m7+XtSS2qZu4XBzmUUoK1VsWi2/rh62R1Ce9q5/RGEy+sjQFE0M7bwfJ3H/PPYjabeWHtWfYmFmGpUbH49v4Eu9n+2dOSJEn6W1JffIgkSZIkSZIkSZIkXYbaMrG0dGy7rzwbCmJEW8Gmdofp+0ULQztv8OgGlfkQu17sGyAqNHFuDZRngpWLqKC17qHG52ps2xA8BlxCoCAWon8GY4MY11Rt69vJUJIMK2+Heatg63OiMtZvT0P6AZjxKdy5BZbOhuxjoiXivbvBq5do25h5GNwiRDgreac4bsImUSXMPbLl9fWaBzGr4fRyGPUfsHRo3mU0i4tjKmXbtoWpRdWYzaDRiffOx7Zt0G1rumiB6KsdSDTQw8ceNzuLDv8aDEYTj/50ioo6A738HHh6Utc2Y3QqHS8OepHuLt155eArbEjZgKPOkaf6P9U8pq97XxQoSC5PZsEIO5Yf0ZJSVM2PRzO5eaB/u8+tUWqYETyDr898TZ3uMODPudyKDud6KZpOaGeX1f6u40iSJEmS9M/V29cRhUJ89iqsrMfVtnXrKxcbHSNDXdkeV8DSQ+nN7cIAIpwj+HX2Cm5c+h0nS3ZgaZeOQVkiwgJ1JcBxrPzBWOfOq9sqWHzDPACCXG34YG5P7lt2gh8OZ5BfXsdL0yNbBQCMJjPro3N4bUMshZX16NRK3prdjZm9Wn8m1Jv0vHDgBfSmBow1fgTa9mi139laB1Q1t2K8UFljBRyHxlBXe5SNFbyMnZXfkiTpipku8rPl42gFlJBR0lLx6o6oO0gqS2J9ynoe3/U4X477kvkjQll9IottsfkcTSuhX2MY9VJYalV8e1s/Zn52gNSiaq776hBL7uh/0WCSRqXkjqFduL6/LyuOZbHscDoJ+VX8FpPHbzGiIqG9pQZ/ZyvcbC3QqBTojSZyy+tIKqii3liH2iYOtctpbG3jQWGgBsAkbibq5daLCOcIguyD8LLxwtnSGWuNNRqlBrPZjN6kp7qhlh+PpbBwfzwV9fWAiUhPB+aPCGdooC92WrtWlQgvhdlsZvWJbF5Ye5bqBiOutjq+va0fUY3VnX8Pk8nMi+tiOJ5eipVWxTOTw3/3Mf9MC/elsvxIJkoFfHRDL3r6OvzZU5IkSfrbkmEtSZIkSZIkSZIk6eoyNF4cUuva7kvbK5aePcGq8WRy2n6x7DICFIrG9oJG8OknglBmM+xfIMYMuBdSdgJmcI9qqcjVbS6cWQmr7xGPBTj4CfgPhVlfwa1rYdFEyD8LP98EN60G776w5TmIXQeFcTBvBdz4E3wxTLQ/3PMODH5YBLxOLoW+d4mwVswa6HatCGvFbYCRT7e8vsDR4NpVHG//Ahj7UvOuBpNoJaNRtr04llIoqkUpteWYAHer1u0jqxqqOJR7CICSwjAAxoa302Kykdls5pH1izhbexxbxyAWXDcfjarjO4hnhsykokbBu6eeZ2nsUlQNwTw8cCZatRIHCwe6OnUltiSW6JKjPDymOy+ui+HDbQnM6uWNta79UwtTAqfw9ZmvyWk4A4oZJJ9XneJKONuItgqlHVSKkCRJkiRJuhh7Kw1dPeyIza3gQHJRq6qjTW4dHMD2uAJ+PJrB/SODWoXjFQoFH864njHveVKaa+CpyQEMj4TksmSO5B5hS9o2ai3yOd7wFs/uSeGlIU+jUWmY1M2TBdf15MmV0WyPK2BnfAF9A5wIcrWmpsHIkdQSchur6Ph7FjO6dzHRdUdIOGKBs6Uz9jp7qhqq2Ji6kbiSOBRmNXV5Mxk0vHUbr6b2ae2Fter0xuaKW2627XxOb9RUPfVirdokSbo8TT9TemPnYa1AV2sAEs/7/qRQKHhl8CuU1ZexL3sf87fN570R73FdP1+WH8nkqZXR/PrQ0A6/m7XHzc6CH+8ZyPVfHSK1qJrpn+zj03m9GRzUfnvA81lp1dw6OIBbBvkTk1PB1nP57E4o5FxOBeW1eqKzyoFywIxCU4LaKgWVRyy21omgbPk+F+wQzFj/sYzxG0OYY9hFQ1bH0yt4cW0M8fmVgCPBbjY8PbErY8LdLjug1SS3vJbn15xlW2wBAP27OPHxDb1w7+TGqEtVVW/gmdVn+PW0qD6+4Lqef+uqWgeTi3lzUxwAz02JaG4dLEmSJF0ZGdaSJEmSJEmSJEmSrq7OTpKmNwazAoa0bMs+LpZ+A8QyZrVYdr9OLNP2Qt4Z0FhBv7tg1V1iu/8QOPIlKDWiqta3k0RQK3isaJ0Y/TOk74OvR8FNq+DmX0SFrayjsPwGmPezCIT9fDMUJcC3U+DOzTDlXfjxRjj0OTx4HCydoDIX7L1a5jPlfUABedGiWph944U+pRLGvAg/3gAHPobImeApKh7UGcQFOAt125O+KYVVgBGTQpyQd7VybbV/f85+9CY9frb+HD+hA0yMj/To8G3+z6632VO2DK0zwD5eOx7PO8PfwcHCoc3YspoGXlwXw9pTGnRuw9E67+HbuPdZc8CKD68bQB9/J4Z6DyW2JJY9WXt4Y8hUvt2fSlpxDV/vTeHRsaHtziHQPhA/Wz8yKjNQWyeRUmSN2Wy+4pPoNo0XHqrrDVf0eEmSJEmSJIDhIS7E5lawO6Gw3bDWsBAXevs5cCKjjFc3xPLxDb1a7Xezs+CpSV15bs1ZPtmWyTU9RhAZFMn0oOn8u9+/mbHseYpVO1mX+jOZ1Ym8P/J9XCxduKaXN2EetryxMZa9iUUcSS3hSGpJ83HtrSAwfBNJNbtZmdLx/LUKK8oyrkNt9Ob6/r6t9jk1VswqrWlo87j0YlGlx9ZCjb1lx5W1qhvEZ63LCX1IknRx1jo1FXWGi36fifQS1ZxOX9BGXqPS8P7I93ls52Psz9nPwzse5v4ej+Ae50NKUTWP/XSKL27qg/ISgpZms5msqizOlp9l6ohY1sacpbyhlLu26HGz09HF2QE7rQ32OnucLJxwtHDEycIJe509tlpbLNWWaFVaFCiwsjYzsbeRod20FNeoOFeQS0pZBplVaeTVJVFjLG/13N423owPGM/UwKmEOrb/XfJCBZV1vLkxjl9OZgOi5evj48O4oZ8v6k5uSuqM0WRmycE03t0cT3WDEa1KySNjQ7h3eOAVH7OJ2WxmR1wBL6yNIbusFrVSwduzu3f6Hf6vLqeslgd/OIHRZGZWb29uHxLwZ09JkiTpb09+2pYkSZIkSZIkSZKuLpWogISx7UUisk+Ipe+Alm35MWLp0V20QGwKb4VPF8ujC8Wyx/Wgr22srAWoGi8ydRkO+z8EQ51oT3jjChGaGvKIaGdYcA6+mwa3/go3r4bvZogQ1/Lr4Yaf4K7tYn9xIvx8C9z+m6i6lX0MopdD+FQ4sQRyToFTkGinmH8WfPuL9ogJm0SIrEnYJAifJlokrrwD7tkFOlsqGyoBsNXYtnlbEgqqUKhFdS2VQoWDzqHV/j1ZewAIsOxHjMGEn5MVoe427b798UWprE9fDgpwVfahSnmOQ7mHuO232/hmwje4WLbcKZ1ZUsMti46QWlSNQgEDHW8kVhFLraaQAsV2bvgavrq5DyN9R/L1ma/Zl70PFAb+PaErD/xwgq/3pHDTQH9cbNpWZ1AoFAzyGkRGfAYq62Qq8yMpr9XjYKVtd94X09ySxyRb8kiSJEmSdOVGhLry5Z4U9iQUYjSZUV0QbFAoFLw8PYoZn+7j19M5DAt2YW6/1qGoG/v78cvJbI6nl/Lq+nN8Nq8PAPY6e/476iVuWOaLpdfPnCw4yXW/Xsdbw9+in0c/wj3t+P7OAWQU13AopZjc8jp0GiXBbpasyHyFA7n7USlUjPUfS5BDEHWGOopqi6hoqKC2XklqthMpqV0xG214cUY4bratbwKwbg63G9u87qTGKj1BrjadhueLqsRneKcr/MwmSVL7HK205JbXUdJOmPJ8vf0cUCkVZJTUkFFcg59zS2tCS7UlH4/+mBcOvMD6lPV8dOo9uncbQNnxYWw5B0+sOM1/r+3ebtjIYDJwPP842zO2sytzF7nVuS07NaBu/HpdbIDi/KvxigW1Uk03l24M8BxwyRW0mudsNLH0UDrvbUmgst6AQgHzBvjxxPiwK/5eCXAio5Tn15wlJqcCEO/5W7O7E+re9rv65TCbzexOKOTjHUkcTy8FwNfJkvfm9KR/l0tvU/lXU6c3Mn/pcYqrG4jwtOP1a7pd8U1YkiRJUgsZ1pIkSZIkSZIkSZKuLl3jCc76itbbDQ1QECvWPXuKZW0Z1BSJdZdQiN8k1j26g6071JSIVoMAfe8Q7QjNJvAb3FKly38w7HhNrI9/TQS1AJwC4fZNsHS2CF59PxPu2CwCW9/PhNQ9ooLWDT+KbV8ME0GxI19Bvzsbw1o/w5gXRFgrZaeo2nUkGVJ2QehEEdaK/611WEuhgKkfimBacRKsfQDj7EVUNIj3w05n1+Yti8+rQKESF9DsdfYoFS0n181mMwdzDgJQVRoMwLgI9w5Pjj6zdSEoTKjqw1h7y9fk1qZy39b7SC5P5vbfbmfhhIW4WbmRVVrD9V8dIrusFm8HSz6b15sevg78mvwY/9n3H6zd9lNaMoT7l51g5X0DcbNyo6CmgL3Ze5ncbTTdfeyJzirnkx1JvDQ9st259PPox0/xP6GzSaM+X1R0uNKT6ubGjJZSnhSWJEmSJOl36BvghJ2FmqKqBo6mlTAw0LnNmG4+9jw2NpT3tibw7JozuNtbMCK0pfKpUqngtWuimPLRXjaeyWNvYiHDQsT+/l2cGOY9gt2prjgHLqOgNo87Nt/BOP9xzAmdQx/3Pvg5WzUHMPQmPS/sf4EDufubgxgDPFtubEgprOKNjXFsixXpCZ1ayXPXRHDzQP828+7sY1J8nvgs2tWj8zBCTlktAJ4Ov78FmCRJLbwcLDiXW0FWaW2n42wtNPQLcORQSgnrz+Rw/8jgVvs1Kg1vDH2D7q7deffou0SXHMaiy1GUFZGsS+pOznfZfDRnBNYWCrKrsokrieNgzkH2Zu+lvL6lypVaqSbCKYIwpzB8bX1xsXQhKa+B5UcyKamtRqGsx96mga7eClzs9VQbyqloqKCyoZI6Qx31xnrMmFEqlGiVWmy0Nthp7XCzcsPD2oMAuwC6OnUlzCkMnarj1qsd2ZdYxKvrzzW2PIRu3va8dk0UPXwdLvtYTQor63n7tzhWHs8CwM5CzZMTu3Jjf79LqkjWkfJaPb+cyGLp4YzmYKxOreS2IQE8PDrkb12p0Gw285/VZ4jOKsfRSsOXN/fBUqv6s6clSZL0P+Hv+6+DJEmSJEmS1Oyzzz7jnXfeITc3l8jISBYsWMCwYcMu+rj9+/czYsQIoqKiOHXq1B8/UUmS/hmaWu3VlrbeXpoq2hRqbUWbQoAK0cYASyfQ2YjwE0DAULGMXQcmPbh3A9dwWDZXbA+fDpufBoWyMRRmFhW23C8IDVk6iBaI300TLQuXzoa7tsFNjYGtlJ3wy71w7bcw/lVY9xDsfQ/uPyTaKxYlgF3jXIsSYOjjYj11N1y3DLa/LNbrK1tCagDWzjDnO9Ga8dxaynw+xWQ2oUCBo4VjqynW6Y0kF1ajsBCtaRx1rfenVqRSWFuIVqnlZJJ4b8dHuLf71h9MLiau8gAqHdzW7VpsLTTYWoSyeOJi7txyJ2kVady5+U4+GP4F9yxOJLuslkBXa5bfPRB3O3FBblKXSXx66lOyq7IJD04iNjGCR5afZtyQiSyLW8Kvyb8yxm8MT07oyk0LD/PD4QzuGR6Il4Nlm/n0dO0JgFmTC4p60oqrr/jkeo2+qSWPPDEsSZIkSdKV06qVTIj0YMXxLH49ndNuWAvggVHBxOdXsj46l3u/P8ai2/oxOKilQmm4px23DApg8YE0Xv71HJseGYamsZrN81MjOPhhMUXx9zGw737OVW1la7r4T6vUEuoYiq+dLzqVjpMFJ0mvSEelUPHf4f9tDmrpjSY+35XMJzuSaDCaUCpgVm8fHhsXinc7n7sAKuvE5yVbi7aXfs7lXlpYK61IVHv1d7LqdJwkSZcnyNWGbbEFzcHJzszs5c2hlBKWH8ngnmFt2/IpFApu6HoD/T36s+D4AnZl7UJtdwa13RligDGr2z+uo86Rkb4jGe03mgGeA7BUX/C7JAju62/kuwNpfLknhaKsBvZlgUalYFiIK7OjPBjT1Q3ndiorXy0nMkpZsC2RPQmFANhbavj3hDBu6O/XphLiparTG/l2fxqf7kyiqrEN5bV9fHh6Utd2q0RfCrPZzNG0Un48msHGM7nU6U0AWGtVXN/fj3uGBzZ/x/67MpvNvPVbHKtPZqNSKvj0xt74yn8bJEmSrprf13RXkiRJkiRJ+tP99NNPPProozz77LOcPHmSYcOGMWnSJDIyMjp9XHl5Obfccgtjxoz5f5qpJEn/GDaNVQeqi1rKIQGUNf5ecvRvue2/urDxMW5imX9WLL16iWXsr2IZeQ0k/AaVOWDlAk13BAcMg4QtYr379e3Ppymw5eAvAmM/3wLeveHGH0Ug69wa2P8B9JwH9n5QWyJCXD59W+bkEirW1ToRECtOEuEsp0DR7jFxa9vn9e0nKn0BRXv/K166hSMapabVsNjcCowmM7ZWeqBt5a1TBafES7UJp6IGnKy19A1o20Kh3mDk6XW7UOkKUaDkzj5TWqZi58uiCYvwtPYkrSKNub/OI7UsA097C5bdNaDVSWS1Us0NXW8Qb53LYVxtdSQWVFFZ2BOAXZm7yKvOY0iwMwMDnWgwmvh0Z1K7b727tTtulm6gMKOyyCW18eLflaioFSfVbf7GdyVLkiRJkvTXMKOnNwDrTudQp2/bMhBE9az35/ZkdFc36vQm7lx8jKNpJa3GPDYuFCdrLUkFVXx3IK15e5CrDc9NCQezjkNHR3OL38fMDpmNs4UzDaYGzhafZVPqJtYkrSG9Ih17nT0fjvqQkb4jAYjJKWfmZ/t5f2sCDUYTI0Jd2fLYCN6d06PDoBZAcqGo6NLemNhcUZ0m3LNtldfzJTRWsQlya7/ltiRJV6abjz0AJ9LLLjp2eg9vnKy1ZJbUsvpkdofjghyC+HjMx/w89Wdui7wNH+suYG65uUWjsKabcw/u6nYXiyYsYsfcHbwy5BVG+o5sG9RqZKFRce+IIA48PZo3Z3Wjm7c9eqOZHXEFPLkymr6vb2P6J/t4c1MsO+MKKK/VX94b0Y56g5GNZ3K5/quDzPrsAHsSClErFdw2OIDd/x7JTQP9ryio1WAw8eORDEa9u4u3f4ujqt5Adx97Vt8/mHfn9LiioFZZTQPf7E1hzPu7mfvlQVafyKZObyLU3YZXZkRy8D9jeH5qxP9EUOuDrQl8uTsFgDdmRjE42OUij5IkSZIuhzzDKUmSJEmS9Df3/vvvc+edd3LXXaIF14IFC9i8eTOff/45b775ZoePu/fee7nxxhtRqVSsWbPm/2m2kiT9I9h4iKW+RlS9shAnpakpbtzv1jK2rvGu4qYxxY2hH5dQaKiB1L3iz12nwvZXxHqPG+DMSrEeOEJsV6qh6+RO5uQG81bAN2NF+8StL8DEN2Hq+6Ka1s43xXP0vBF2vwXn1oFPP8g4CDknRXisKEHMz6M75J4SxwmfBvs/FBXAoma1fd7+90D8BvLyjgDgbtW2ItapzDIAfJzNpAN22tYX0M4UnREr9aLVzZiubu2eqP7uQBo5dWewAKKcu2GrbV01wcfWh8UTFzPrl1upNuVhHfA5/xnyAZ72bU/SzwiawYcnPiSxLJ5Hx1nw6up6fj6op+/A3pwtOcF3Md/xVP+neHRsKNd/dYgVx7J4aHQIHvZtT0h3de5KQVYBSouc5pYQV6Koqh7giu98liRJkiRJajI4yBlvB0uyy2rZdDaXmb182h2nVSv5bF5v7v3+OLsTCrnj26OsuG8QXT3E5zV7Sw1PTgjj6dVnWLAtkWk9vJov0N800J+04hoW7kvlk81VjA2fwsdjHsXeroK4kjhyq3NpMDbgY+vDMO9h2GhtSMyv5Ju9qaw4nonJDA5WGl6eHsn0Hl4dtsBuUl6j52iaqGzby691pdaymgayG9sbhnt1HNYyGE3Noa7ITsZJknT5+ncRN9zE5lVQUFmHm23HYR5LrYr5IwJ5Y2Mcb2+KY2y4O07WHbeTD3cOJ9w5nH/1/RdlNXW8tP4ka07mgVlDgo0F09xC6eXqg1p56TU8LDQqbujvxw39/UjMr2TT2Tw2x+QRk1NBdFY50VnlfLk7BYUCgl1t6OZjT6SXPWHutgS5WeNua9Fha0GTyUxGSQ2ns8rYk1DEttj85tCXWqlgZi9vHhod0twu9nKV1+hZcTyTRftSySmvA8DT3oInxocxs5f3FbU8TCqoZOG+VFafyKbeIKpoWWlVTO3uyXX9/Ojt53DR39N/FzUNBp5edYZ1p3MAeG5KONf18/uTZyVJkvS/R4a1JEmSJEmS/sYaGho4fvw4Tz/9dKvt48eP58CBAx0+7ttvvyU5OZmlS5fy2muvXfR56uvrqa+vb/5zRcXFS7ZLkvQPprUSrRDryqAipyWI1dAY1NGcd8LV0Pi7RW0h1psqbTn4iaCUsV60IbT1gKTG6lVeveDgx6C2BFNjJYSAYWDZ+qJUG65hMPML+PFGOPQZBI6EXjdD3EZI2CRCX8OfEGGttL0iiAVQECuCYNE/Qd4Z6DJMhLVSd0PfO0RYK2GLCJdpLziZrFTC5PfI/V5UMXRXtg0aNVVo8HSC9DLahKziiuMAyMwTJ/fHtdMCsaymgY93JKFyEmG3wd4D230LDieayI+7E0u/Ragscnnp6AOYNS8yPWh6q3EOFg6M8h3FlvQtFHOAkWEj2RVfiLFkFHCCn+N/5qaImxgY6E3/ACeOpJXw7f5Unpkc3uY5wxzD2JO1B6Uuj7i8ynbndSnyGk+yu9nJsJYkSZIkSb+PUqngun6+vL81gSUH0zsMa4EILHx5cx9uWXiEI2kl3Ln4GOseHNLcBmxuX19+PJrJqcwyXlwbwxc39wFEm7LnpoTjZqvjnc3xbIstYFtsAX5OVvTwdcXbwQ9LjYqYXBNbjyZxOrOM5MKWKqRTu3vywrSITgMd5/t4RyINBhNdPWwJdW9dFetcjvgO7+tkiZ2Fpr2HAxCfX0mt3oitTk2gi6ysJUlXk5utBT187DmdVc5vZ/O4ZVBAp+NvG9yFlcezSMiv4smVp/n6lr6XFAZysLJgwdxBzO5VyItrY0gpquaZ1Wf4ek8KD48JYWp3zzZtFS8mxN2WEHdbHh4TQn5FHfsSizicWsyR1BLSimtILKgisaCK1SdaqoBp1UrcbHU4W2ux1KpQKRXU602U1DSQW1ZH7QVVDT3sLJjdx5sbB/h3WkGwI0aTmcMpxaw+mc366JzmtoSutjruHR7ITQP9sdCoLnKUtmJzK/hwWyK/xeQ1b4vwtGPeQD9m9PT+n6r8bDab2RyTz2sbzpFVWotaqeDlGZHMG+D/Z09NkiTpf9L/zr8gkiRJkiRJ/0BFRUUYjUbc3VtfuHd3dycvL6/dxyQmJvL000+zd+9e1OpL+zj45ptv8vLLL//u+UqS9A9i59US1nJrCvC0d2K5sU2iQiHaJoKokmXpCGn7xJ+7DIekbaLdoEsoZB8T27tOhpTdYj1sUsshDQ0Q8wtU5UPwWHCPaNnXdQoMuA8Ofy4qaj1wGMa9LFosxq2HsS+B1lZUBFM13rlckgxujccoOAe9b4EDH0PqHpj+iQiWlWVA4hbRrvFCrqHkeEZBQxZepVmtX73ZzKEUEdZysTNDGdhoWi6MmcwmkspEAKuwxBkLjZLhoa5tnuKL3SlU1umxt03BBAzwHNBmTGxuBc+sPoPZaMst/v8lW7uQXZm7eHbfs5zIP8HT/Z/GQt1yMXBa0DS2pG9hY+pGvph0D3sSCjkS60L/Qb2ILTvJG4ff4JPRnzB/ZCBHFpfww+EMHhwdjO0FFwBDHUULSZUuj5SMKmoaDFhpL/90RFapqAbh43hld1dLkiRJkiSd7/r+vny8I5GTGWWczChtU43qfBYaFV/f0pdrPttPalE1j/50iu9u749SqUCpVPDGzG5M/2Qfv8XksfZUdnObRYVCwb0jghjV1Y1PdiTx29k8MkpqyCipafd5VEoFo7u6MX9EIH3827a9bk+DwcQnO5P4Zl8qAE9ODGsT6IjOFi3Eu3nbd3qsExllAPTwdbiiyjOSJHVuWg8vTmeVs+JY1kXDWlq1kg+u68nMzw6wLbaAd7fE8+8JXS/5uYaFuPLbo8P5/lA6n+5MIqXxd9c7m+O5fUgAc/r4Ym/VcXizI+52Fszu48PsPiLkWlRVz+nMMqKzyonLqyAhv4rMkhoaDCaySmubv8e19/rCPWwZGOjMiFBXBgQ6X3arw3qDkUMpJWyOyWNLTB5FVQ3N+7p62HLLoABm9fa+opBWbnkt725OYPXJLMyNpy3GR7hz9/BA+vo7/s9U0QJRiWxddA7fHUhrrobtZW/BB9f1ZECg8588O0mSpP9dMqwlSZIkSZL0P+DCEwRms7ndkwZGo5Ebb7yRl19+mdDQ0Es+/jPPPMPjjz/e/OeKigp8fX2vfMKSJP3vs/MWwaby88JJ2sYQUv151ZVUjSeHDQ0iIAWgsxPhrayj4s9+AyF5p1gPGS+CWAChk2HNvS3bAYx6WDpLVMYC2Po8DH4Yxr4sqlyBCGQlbxdtDbe9BNM+hOAxIhAW/TN4RImqXk3zqcoHpyCxXpICnj1FoKwsA0pTIXKmqK51dmX7YS0g18kX8rLwKkwWoTRrFwBicyspqW7AUqPCykKcWD6/slZudS51xjqUqDE3ODEswrXNiebiqnq+O5CGUpeLSVmJpdqSHq49Wo2pqNNz39Lj1OlNDA915d/je6BQfMiXp7/k89OfsypxFXElcXw8+mNcrUQYbIjXEOx19hTXFVNmjmN2bx9WHM/CVHQNGu1Z9mTt4ef4n5kTOpcgV2uSC6tZdTyL24Z0afXcgQ6B4q/aohCT2czZ7IrmFiCXI71YVJrwdZJhLUmSJEmSfj83Wwum9/Bm1YksvtmbyqfzOq/Sam+l4cub+zD9k33sTSxi8YE07hgqPvdEeNnx4OhgFmxL5LlfztLN255A15YAfqi7LR/d0IuqegPH0kqIz6skr6KOOr0JrUqBq62OUHdbBgQ6Y2958fBEWU0DJzJKOZBUzK/ROeRXiGq1D40OZnTXtlVYT6SL9og9fBw6Pe7JDDGut1/n4yRJujIze3nz9m9xnMku52x2OVEXCVBGetnz2owonlwVzac7k9GpVTw8JuSSn0+rVnLn0C5c18+X7w6ksWhfKtlltby2IZb/bo5nUpQH1/T0ZmiIC5rLrLbVxMVGx5hwd8aEt/zuMRhN5JbXUVBZT2l1A7V6IyazGa1Kib2lBk8HS3wcLa/oOUurG9gRV8C22Hz2JBRS3dBSocveUsPkbh5c28eH3n5XFqgyGE0sPpDG+1sTqGk89pTunjwyJoRQd9uLPPrvo05vZEdcAatPZLM7oQC9USTSbHRqbh8SwH0jg67oJitJkiTp0snfspIkSZIkSX9jLi4uqFSqNlW0CgoK2lTbAqisrOTYsWOcPHmSBx98EACTyYTZbEatVrNlyxZGjx7d5nE6nQ6dTradkiTpMjg0BjrLMlq22biJZVV+yzZd48nO+krQN1YY0FiB2Qy50eLP3r1h3/uNx/WHimzQWINCCSaDCFI5NQaEjn0rgloaa/DtDyk74cBHUFsiqmApFKCxgKkLYPFkOP6daGXYba4Ia8VtAN9+IqxVniXmoq8Rz2PlDDXFUJEFPv0h4wCk7IKoa1taIdZVgIVdm7cjxyiCRl76BlHFq9dNAOxKKABgcJAz1QZxB6udtuXx6eXpAKiMLoCq3RaIi/anUqs34tsljTKgn0c/tE1VwRAB3id+Pk1acQ3eDpZ8eF3PxjuWFdzX8z56uvXkyT1PElMcwy2bbmXxhMW427ihUWkY5z+OlQkr2ZS6iYfHPMUvJ7M5lqjj7ql382PyZ7x99G3CncO5bXAAz6+N4buD6dwyKKBVJQZ/O38UKDAra1GoqjiRUXpFYa3UxrBWF2fry36sJEmSJElSe+4e3oVVJ7LYdDaX9OJq/C/yOSPU3ZZnJ4fz/NoY/rs5jrHh7vg5iyD5g6OC2Z9UxNG0Uu787hgr5g/Cxab192gbnZqRYW6MDHO77LlmFNew8kQWW8/lE5tb0Wqfq62OZyeHc00v7zaPM5rMHGlsu93vIp/BTjZW1urlf5H24pIkXRFnGx0TIj1YH53Lt/vTeG9uj4s+Zm4/X4qrG3j7tzje35pAYWU9L0yLuKygk41OzQOjgrlzaBdWn8hmycE04vIqWXsqh7WncrC1EL+bhoe4MDjY5YraEJ5PrVLi62R11W60ySiuYcu5PLbE5HMsvQSTuWWfq62OseFuTIryZFCQ8xWHzgBicsp5cmU0MY2tY/v4O/L81Ah6+jr8zlfw12A2mzmRUcaPRzLYdDaPqnpD876uHrbM7evLnL4+baplS5IkSX+MK/8XS5IkSZIkSfrTabVa+vTpw9atW1tt37p1K4MHD24z3s7OjjNnznDq1Knm/+bPn09YWBinTp1iwIC2bbMkSZKuiIOfWJ4f1mraVpoGpsa7Xy0bLwTVlrZsU6lF+8T68saWiE7iMSigtliM6TIc0hvbJAaPEUuzGY58KdbHvQy3rIFZ34BCBSeXitBWk4AhEDUbMMP2VyBknDh+QQxYN7YZLEsHW0+xXpnb0goxPwYCR4r1lF3g0U20ZzTWi7BXO3KrcgHwMhhbWjcCO+NEWGtkmCuVDaLimJ2uJayVUSnev5oaRxQKGHXBhb3KOj1LDopAl7XjOQDG+I1pNeaL3SlsOZePVqXks3m9cbTWtto/0HMgtwe8j8roTFZVJqOX3s7jPx+npLqByV0mA7A1fSvu9mpm9xatLuITejHGbwx6k57Hdz3O6EgbbHRqUouq2Z9c1Or4OpUOLxsvAJTaQo6klrT7HnXGYDSR2dguyN9ZVtaSJEmSJOnq6Ophx8gwV0xm8ZnpUswb4M+gQGfq9CaeXXMGc2N/LLVKyafzeuPtYElqUTU3fHWI7LL2239djvi8Su5fdpwR7+7ko+2JzUGtQBdr5vb14fN5vdn31Kh2g1oAp7PKKKvRY6tTd9oGsbxGT2qRCMf3+h8JJkjSX9Fdw0Tl4bWnspu/41zMfSODeHZyOADfH0pn3teHL/mx57PQqLhxgB+bHhnGmgeGcNvgAFxsdFTWGfj1dA7/XhnNkLd2MPjN7Tzwwwm+3J3MvsQiCirrmn/X/X8wmcyczizj3c3xTFywh+Hv7OS1DbEcSRNBra4etjw8Opi1Dwzh8DNjeHNWd4aHul5xUKtOb+Tt3+KY8cl+YnIqsLfU8Pbsbqy4d9D/RFCrtsHIssPpTP5oH7M/P8CK41lU1RvwsrfgvpFBbH50OL89Opw7hnaRQS1JkqT/R7KyliRJkiRJ0t/c448/zs0330zfvn0ZNGgQX331FRkZGcyfPx8QLQyzs7NZsmQJSqWSqKioVo93c3PDwsKizXZJkqTfxcFfLM8PazkGgNoSDLVQnASuYWDdGD6qLhBhqyYlyS3HKYgV687BkH1SrHcZDscWivWm4FT+WXFctQX0uF5s6z5HhL42/EuEsgJHgmfj3cujn4OYNaKiVmmqCF3lRUODuEhFaTrYeYm5VOaJ/Wl7Ie8sRM2CXW9A6h4x76hrxZ/ProSeN7R6K/RGPUW1IsDkYTBA9nFAtC883tiSZnS4O5sPlANgr225iJZeIYJY5gZnuvs44GrbujrDT0czqawz4OdRSnZtEmqlmlG+o5r3H0op5p3NcQC8OD2CHhecaK7TG/nXitNsiC5Aobkd6y6foLTMYH36Mo5+OpWf7x2Am6UbBbUF7M3ey/2jBrLyRBZ7EopZPurfJJclk1aRxjvHX2NWrztZciiDJQfTGRbi2up5AuwDyK7KRqkTYS2D0YT6Mk6kZ5fVojea0amVv/sub0mSJEmSpPM9MCqYXfGFrDqexSNjQvCwt+h0vFKp4I1Z3ZiwYA97E4tYdzqHGT1FUMrN1oKldw3g+q8OklhQxdSP9vLCtAhm9PBuVXn0UiTkV/LpziTWnc5p/pg8LMSFa3p6MzzUtc3nwo78ejoHgJFd3ToNMpzNEZ9F/ZyscLDSdjhOkqTfp6evA8NCXNibWMSCbYmXVF0L4O7hgQS4WPPYT6c4klbCxAV7eGJCGDcN9L/skJJCoaCnrwM9fR14fmoEpzLL2BlXwL6kIqKzysgpryMnOpcN0bnNj3Gw0hDsakOQqw1BbtZ0cbGhi4s1vk6W6NSqy3r+C5nNZjJLajmcWsyB5GL2JhZSVNXQvF+lVNA/wIkJke6MjXDHx/Hq3MBjNpvZHJPPGxtjyWgMv03u5sHL06Mu+XfsX1lBZR3fH0zn+0PplNXoAdEac1p3L+b29aFfgNNl/9skSZIkXT0yrCVJkiRJkvQ3d91111FcXMwrr7xCbm4uUVFRbNy4EX9/EZTIzc0lIyPjIkeRJEm6yuxFBSYqslu2KVXg1VO0GMw6KsJaNu6AAowNLSEpkxHKMsW6gx/knxHr7lGQtkesOwWKYJZCCf5DxLbkHWIZOLKlvSJA3ztFNavYdbDuIbh7p5iLUyB0nwunl8OBT8B3gAhrNbVprMgGv0FivTJXhLVAjBn/KmhtREWw/LOiSteuNyB5J9SUgFVLi5m86jzMmNEptTiZTCIYZtSzPa4AkxkivezwdrCkvL4xrKVrCWvlVImLaya9M6O7t66qZTCa+HZ/GgABXaIpLYNRvqNwtBDVyoqq6nl4+UlMZhjbU0+q+Xue3ltFd5fuTA+ajkZpyd1LjrE3sQiNSsHDIwfj7GHHm8deQOe6i6ykvjz4w2km9p3IknNL2JCygfdHjmFGDy9Wn8xm0d5c3pn6Djesv4HtGdt5pvd4OATbY/PJLqttFarqYteF/dn7sbAqobLMwOmscvpcRnudlMLGFogu1vJksiRJkiRJV1W/ACf6d3HiSGoJX+5J5sVpkRd9TBcXax4YGcwH2xJ4dX0sI0PdsLfSNO9bff8Q7v3+GGezK3jsp9N8uC2RaT28GNDFmUBXa9xsdW2C65V1elIKqzmWXsrms3nNrQtBhAceGRNKmIctl6O63sCq41kAzOrdfuWtJjGNYa1Ir7YtvSVJurr+NT6MvYlF/HIyi/tGBhLsdmk/2+Mi3Nnw8FD+vSKaI2klvPzrOb4/lM4T48OYGOlxRd+VVEoFffwd6ePvyBMTwqiuN3A6s4yTmWXE5JQTl1tJWnE1ZTV6jqWXcqzxhqMmCgV42lng42SFj6MlPo5WeNhZ4Garw8FKg42FGq1KiUKhQG80UVmnp6RaT05ZLenFNcTnVxCbW0lJdUOr49ro1AwPdWFsuDuju7pd1RCp2WxmV0Ihn+1M4miaeD0edha8PCOSCZEeV+15/iyZJTV8tSeFn45l0mAwASKIe+vgAGb39paBXEmSpL+IPzWstWfPHt555x2OHz9Obm4uv/zyC9dcc02nj9m9ezePP/44MTExeHl58eSTTzZXjWiyatUqnn/+eZKTkwkKCuL1119n5syZf+ArkSRJkiRJ+nPdf//93H///e3uW7x4caePfemll3jppZeu/qQkSfpns2u8GFSZCyYTKBsvRvkOEGGt9IPQ6yZQa0VgqyqvpcWhsUE8DkRlqwJRGQoHX6gpFm0NaxtPELtHgaWDWE/ZJZZdRrSei0IBU94Tga3c03D8W+h3l9g38D4R1opdBxNeF9tK01rmbtMYkKrMg6DRYj3vjGjP6DcIkrZC2j4YdD+4dxPBsthfoc+tzU+fV5MHgIe1BwplOpj0UJnH1nMiFDYuwl08bb14TU1hK4CsKhF2MzU4Mqpr62pVm2NEKMrJroazFdsAuKGrqOplNpt5amU0BZX1+Pic41jDMg7HizaTG1I28MXpL/AxzeNAog9WWhXf3NqXwUEumM3BbM5Yw4mCE9i47eZ4uj39Q/sAS9iVuYvy+nLuHxXML6ey2Xoun8fHhXJr5K0sPLuQ5UmfMyjoGQ4ml7LsUDpPTuzaPFd/OxEgdrIvpzIH9iYWXlZYK7mwCoBAV+tLfowkSZIkSdKlenBUMLekHuHHI5k8NDoEJ+uLX8iePzKQX6NzSCqo4uX1Mbw/t2fzPm8HS1bfN4Sv96bwxe5k0opr+HhHEh+T1DzGWqtCq1ZiMkOt3th8Qb2JUgHjIzx4cHQwUZ20L+zMl3tSqKgz0MXFmhEXVD690Nls0V5RhrUk6Y/X09eB8RHubDmXz5sb41h4W79Lfqy/szXL7xnI8iMZfLA1gZTCau5fdoIQNxvuGtaFGT29sdBceaUra52awcEuDA52ad5WpzeSXFhFUkEVKYXVJBdWkVZcTWphNdUNRlGJq7yOI6lX/LRoVUqivO0YHOTC4GBn+vo7oVVfWVvDjqQWVbPxTC6rjmeR0tj2VadWcvewQOaPDMJG9/eucZJZUsOnO5NYeTwLg0mUZOzl58DdwwKZEOmBSt74JEmS9Jfyp/6rU11dTY8ePbj99tuZPXv2RcenpqYyefJk7r77bpYuXcr+/fu5//77cXV1bX78wYMHue6663j11VeZOXMmv/zyC3PnzmXfvn0MGDDgj35JkiRJkiRJkiRJErRUzDIZoKaoJfQUMAz2L2ipkAVg7y3CWjWN1QMM9SKUBWDtIsJQAKrGNgTOwZBzQqz7D255TMYhsd7UFrHVfNxg9LOw6UnY8RpEzARrZ9ES0au3OF6FqGJFYTwo1GA2gK7xYlVFtqgEptJCfYUIdPkPFmGtjIMirBV5jQhrnVvbOqxV3RTW8gQrZ6jKo66ikL2JhYAIaxlMBirqxQWypspaZrOZjApRYcxe7U6UV+uLdN8dTBNvafA+Emv19HbrTV/3vgCsOJ7F9rgCdNbZVNktw2g2Mtp3NFEuUaxLXkdaRRqlfIKF6xi+nPYsg4PEiXiFQsEDPR/gzi13onI4iiJ/NMv3awjpEUZiWTzrU9YzL3wek7t5siE6l092JPH2nLtYmbiStIo0bumazcFkK5YfyeDhMSHNFwkC7APEpLXiNe9NLOLRsaFt/5460NSSwt9ZhrUkSZIkSbr6hoW4EOVtx9nsChbvT+Xx8WEXfYxOreLt2d249ouDrD6RzfgIdyZGeTbv16qVPDAqmNsGB/Db2Tx2JRRyNrucjJIajCYz1Q1GqhuMrY7pbK0lytueYSEuTOnuiaf9lbd/jsur4IvdorX4vyeEXbTiztlsUVnrSoNhkiRdnqcmdWVHXAHb4wrYFV/AyDC3iz+okUqp4KaB/kzv6cU3e1L49kAaiQVVPLXqDG9uimNmL2/m9PEl4iqFLy00KiK97Im84Dup2WymuLqBjJIaMktqyCqtJbusloKKOgoq6ymv1VNVZ0BvNGE2g0atxFqnwtFKi6e9Bb6OVoS42xDmYUe4p+3vbqd4Pr3RRHJhFdFZ5ZxIL+VwagmpjQEtEIHZG/r7cdewwIu2v/2rK6is49MdSfxwJAO9UYS0hgQ788DIYAYFOaNQyJCWJEnSX9GfGtaaNGkSkyZNuuTxX3zxBX5+fixYsACA8PBwjh07xrvvvtsc1lqwYAHjxo3jmWeeAeCZZ55h9+7dLFiwgOXLl1/11yBJkiRJkiRJkiS1Q6UWrQBriqG6sCWs5TdQVMYqy4DSdHD0Fy0Ts49DdWNAy1DXUjnL0hGKxUUmjI1tEVxDRRtFAN/+Ypl+APQ1IiTmFt7+nPreCSeWiLaFW56DmZ+L7T1uEGGt1L0iENZQBbZeUJkjXgdAeSaoNODaVbRBzDsjqoRBy1zCp8GOVyF1D9RVgIU4MV5QUwCAu7W7aM9YlceZlCzq9Cp8HC2J8LSjuK4YM2YUKHDUiYpTJXUl1BlrMJsVDO0S2uoCW0J+JUdSS9BYp5FYK9o/PtbnMRQKBcVV9by2/hxgxCNoLSV6I+P8x/HeiPdQKBQMcJrFdSteQu20C43Ldo5XBjCMR5uP3c+jH1HOUZwtPou7z0ny0ofhYh5KIvGsTFjJjV1v5KHRwWyIzmXj2VweHRvC3NC5fH3ma+JrtuDtcAPZZbWsO53D3L6+AATaBwJQ1pALCgOnMssor9E3twu6mOzSWgB8HK/8gqUkSZIkSVJHFAoF940I5oEfTvDdwXTuHRGE9SVUWOnj78S9w4P4Yncy/14ZTai7LYGuNq3GWOvUzO7jw+w+ok240WSmrKaBqnoDDQYTCoUIQjhZa7HSXp1LNqXVDdy/9AQNBhOjwlyZFNV5W6/yWn1zlZnuPg5XZQ6SJHUuyNWG2wYH8M2+VF5Zf47BQS6XXUnKzkLD4+PDuGt4IMsPZ7DkYDrZZbV8uz+Nb/en0dXDlmt6eTOlmye+TlZX/TUoFApcbHS42Ojo7XfplZOvJrPZTFZpLbG5FSTkV5KQX0VCfiUphdU0GFtXLFQrFQwIdGJGD28md/f821fSqq438M3eVL7ck0xNY/h3SLAzj40NpW+A0588O0mSJOli/lb/Ch08eJDx48e32jZhwgQWLlyIXq9Ho9Fw8OBBHnvssTZjmgJe7amvr6e+vr75zyaTiZKSEpydZdpYkiRJkqSOmc1mKisr8fLyQqm8umW5JUmS/idYNoa1moJXADob8O4tAk7pB0RYy6bx4lFd4zhDPdSJO/tRqKCurHF/49KxC8T/Jta9RSUp4jaIZcg40fawPSo1TP0AFo6H0z9AxAwImyiWm54UgS23cCiIFa0VK3NEC0cQ4TIAj24irJUfA0MeBoVStEuszBOVt5yDoTgJkneISlu0hLVcLV1BI8JGZ9LyAG/GdHUTAavGFpCOFo6olOJu4sxKUVXLbLBjZKhXq5fy45FMUNZh77eSemBWyCx6uvUE4N0t8VTUGfANOEaJPgMHnQMvDHwBhUJBg8HEU6vOUZs/kSgnH9JZysKzC/Gy8WJu2FzxlisUzIuYxzN7n0FlfxgYzOEzXdB1sSCpLIkTBSfo49GHiZEe/BaTx0c7knhq6iy+PvM1R/IOc2u/e/h4ay2L9qUyp48PCoUCV0tXbLW2VDZUEuBRRVquA7sSCpjR07v9v6sL5FXUAeD5N7/jWZIkSZKkv66JUR4EOFuRVlzDj0czuXNol0t63L/Gh3IsrYRj6aXcsfgoK+8bjIuNrsPxKqUCZxsdzp2M+T2Kquq5ddERUoqq8Xaw5J05PS56neNUZhkA/s5Wl9QCUpKkq+PhsSGsOZVNSmE13+xL4f6RwVd0HDsLDfeOCOKuYYHsSSzk56OZbI8tIC6vkrc2xfHWpjh6+NgzuZsn4yM96OLy961YrDeaOJVZxuGUYo6mlXI6q4yyGn27Y211aiK87Ojp50BffycGBjpha3FpNwz9lRlNZladyOKdzfEUVorr2z187HlyYleGnNe+UpIkSfpr+1uFtfLy8nB3d2+1zd3dHYPBQFFREZ6enh2OycvL6/C4b775Ji+//PIfMmdJkiRJkv73ZWZm4uPj82dPQ5Ik6a+nMZiEvrb1dr+BIqyVdQR63gDWrmJ7bVnjADPUV4pVQ+ONNTbuoroVgNoCTHoRBnPwA6MeYn4R+yKu6XxOvv1h0ANw8BNY+wDctx9sPcCnn5iP1laMUzZ+XW5obJNQXSjm5BYh/lxwDrTW4BwCRfGi0patB4SMbwxrbW8OaxXWitZ/rlauoBYX5WKzigBvxoSL769FtUUAOFs6N081rjgVAFODc6sTrnqjiV9OZWHhsYZ6ivC28eaJvk8AkFRQyU9HM1Goy6i1/g1M8Hifx3GwcADg670pxOZW4Gil4dtZj/JLqiMfn/yYN4+8SaRzJJEukQCM9x/PO0ffoaSuCE/PFHJzQxhkNZyzlVtYFruMPu59eGhMML/F5LE+OodHxgTT3bU70YXRuLglYalxJC6vkoPJxQwOdkGhUBDsEMzJgpN09ashLdeBbbGXHtZqOgHtaiPDWpIkSZIk/TFUSgX3DA/iP7+cYeHeFG4e6H9JVW40KiWf39SHaz7dT1pxDTcvPMLSO/v/YWGszhxMLuZfP58ip7wOFxsti2/v12lwrMmRVHHjQB//P6cyjiT9U9lZaHhmUjj/WnGaj7YnMrWbF37OV14BS6VUMCrMjVFhbpTVNLDhTC7rT+dyOLWY01nlnM4q581NcYS42TAxyoPxER5Eedv95QtX1OmN7IwrYMOZXHbFF1JVb2i1X6tSEuxmQ5iHLSHuNoS62RLmYYu3g+VFW8D+3RxNK+HFtTGcy60ARMj23xPCmNLN8y//9yhJkiS19rcKawFt/qExm81ttrc3prN/oJ555hkef/zx5j+Xl5fj5+dHZmYmdnZXp5+zJEmSJEn/eyoqKvD19cXW1vbPnookSdJfk6Lx4lbj97ZmXr3FMueUWFo6iGVDZcuYhqrWS8cAKEkR6wZRZQnP7qKKVsJmqCkSoa/AkRef1+jnIWWXaIe45j6YtwpCJ4iwVsMFIbHKHLByFhXCSlJEG0SAwnixdAsXYa2CWFHVK2g0HPoMUnY3P11TEMvF0kW0WQRqamrRqZX07yJaEzQHuixdmx93OCMBAFuVB+52LSGlfYlFVKoPYml/CpVCxVvD3sK2MWT24fYkTGYzPiHrKDfV0sutFzOCZwCQUVzDR9sTAXhhWgSutjru7nY3scWxbMvYxrP7nuXnaT+jVWnRqrTMDJ7JwrMLcfM+SW5uCMlJvcB9C9sztpNZmUmkly8TIt3ZHJPPR9uTGBk5kujCaE4UHuLaPnfz/aF0Fu1PZXBj0CzUMZSTBSexsy8EvNgVX0CDwXRJF0Er68TJeHvLv/9d0JIkSZIk/XXN6u3NB9sSyCmvY83JbOb2872kx7na6vj+zv7M/fIQsbkVzP78AAtv60fQBS0Rr7aaBgMphdVEZ5WzPjqHA8kidBXoYs3Xt/a95Oc/2Pi4gYHOFxkpSdLVNqu3NyuPZ3EwpZjn1p7lu9v7XZXQjYOVlnkD/Jk3wJ/Cyno2x+Tx29k8DqUUk1hQReKOJD7ekYSHnQXjI92ZGOVB/wAn1Kq/TveA+LxKFh9I49fTOa0CWo5WGgYFOdM/wIne/o509bC77BaSfzcFFXW8uiGWX0/nAGBroebBUcHcNiQAnVr1J89OkiRJuhJ/q7CWh4dHmwpZBQUFqNVqnJ2dOx1zYbWt8+l0OnS6tneX2NnZybCWJEmSJEkXJe9akiRJ6kBTqEp9wfctd1G9iaIEEeTSNX7vqq9qGdO03tQO0d4Hso6J9ZqSxuNEieWxRWLZ80ZQXUKYR2MB1y6CL0eIdoUnl0DwGNjxKpSmNT5HUcscXUIh4yAUJoDfALG9JAWMhpbwVrEIQeE3UITUytKhPAvsfSipE/N1sXRpfi8saKB/FycsNOKkamGNCGu5Wbk1TzOuWITTghz8W01/1ekYLNx/BeDBXg82tz9MLapmfXQOGqd9lHMOC5UFrwx+BWVjaO6V9THUG0wMDnLmmsaKVgqFghcHvcjJgpMklyez6Owi5veYD8Ds0NksPLuQ1OqTuDpOpqDEkW5depFWc5IlMUt4duCzPDwmhM0x+fwancOkPt0BOJp3lO/GvsL3h9LZHldAenE1/s7WRDiLqmTF+mRcbPpTVFXPwZRiRoS60hmz2Uyt3giAlU6ehJYkSZIk6Y9joVFx97AuvLExjk92JjGztzeaSwwuBLra8NO9A7ll4RHSimuY8cl+XpgawZy+Plf1vMHZ7HKWHc7gQHIR6cU1rfYpFXBDfz+emRyOje7SLv9U1uk5nSU+cw8OkmEtSfr/plAoeH1mFBM/3MuehEJWHs9iTt9LC4peKldbHTcN9Oemgf6U1+rZEZfP5rP57EksJK+ijiUH01lyMB1HKw3jItyZ1sOLQYHOf1pw63BKMR/vSGJfUlHzNm8HS6Z292RilAc9fBz+5ypmdcRsNvPDkQze2hhHZb0BhQKu7+fLE+PD/pQKjpIkSdLV87eKGQ8aNIitW7e22rZlyxb69u2LRqPpdMzgwYP/3+YpSZIkSZIkSZIk0RKqaqqc1cSxC6AQVbOqi1rCXMaGljFNFbVqS8VSZwdmI6gtRRAKROirJFUErlBAn9svfW6uYTDmebG+7WVw8AdLx5aWjTWiugCF8WIsiEpcdj5iDia9mIdzkNhXkto4T1vw6CbWs46KXbXifXC0cBStEwErRR2DzrsYll+TD7QOa+XXiraPvb1CmrcZTWb2FC9GoaonwKYrt0e2vOZF+1JRWqRh6fYbAP/q+y8C7AMA2BlfwLbYAtRKBa/MiGx1wdDBwoF/930SgG/OfEN+tZiLr60vgzwHYcZM9/A4AHIzBgKwJmkNpXWlRHrZMz7CHbMZNh1XY6m2pFJfCZoCRoa5YjbDdwfE31ekswjpnSs+x7gIEdD67WxuR39Dzc4vzKaSAWlJkiRJkv5gNw30x8VGR0ZJDcuPZFzWY4NcbVjzwBD6d3Giqt7Ak6uimfPFQfYkFGIymS9+gE7klNXywLITTP14H8uPZDQHtRytNAzo4sTj40LZ8+QoXp/Z7ZKDWgCHUkowmsz4O1vh43jl7dckSbpyga42PDY2FIBX1p8ju6z2D3sue0sNM3v58MXNfTjx/DgW3daXuX19cLDSUFqj5+djWdy88AgD39zBS+tiiM4qa+5y9Ec7m13OzQsPc91Xh9iXVIRSAZOiPFh+90D2PjmKZyaH08vP8R8T1CqsrOf2xUd59pezVNYb6O5jz68PDuXNWd1lUEuSJOl/wJ8a1qqqquLUqVOcOnUKgNTUVE6dOkVGhvgC9Mwzz3DLLbc0j58/fz7p6ek8/vjjxMbGsmjRIhYuXMgTTzzRPOaRRx5hy5YtvP3228TFxfH222+zbds2Hn300f/PlyZJkiRJkiRJkvTPZqiHalEtCluv1vvUWrBpDCVVZIOy8WKSUd8ypqFaLJtCU01jHANaWhC6hsHpHwGzaH/o1OXy5tj/XnAJg9oSOLoQAoaK7ZaiNSEqnagO9n/s3XeUG+XVx/HvqGuLtL03e917wRWMAWPTMd2Q0BJIIJQECCEh5Q0hhZAEMAkloRoSMKZXUwy44oZ7X6+9vfeVVquuef94tFovLphiTLmfc3RmNPNo5hmJY7TST/fGRys/NWwFg6E3oNVSqkJeAO2VvcfNHa+WtesJRoIqvAQkW5PRbUkAJNHFpGgLROitrNXTBrG1y09AU9tO6D8sNm5hySb0+A0A/Gna7zEaVKUply/IS1u2Ysv7H7oW5rSi05gzeA4AwXCEP765A4AfHFvEgIy+7XuXlDRx10tWQt2F+MN+Lnz+99RFvxy4cPCFAOz1LiEnyUJLcwGp5v74wj6eK3kOgJ/OUGGyN7c0UOxQc93aspUrphYB8ML6aroDIYqTirGb7HQFuxhTrNpMvre9kVA4cpAXSNk3nxX6gl9yCiGEEEJ8mjiLiZ/NGADAfYt209Ed+JRH9JWeaGX+jybzq9OGYDMbWFfZzuVPrOWEfyzhj2/u4J1tDdR3eg87/OALhnlseRmz7lvGW1vr0TQ4a3QOT/5gAht+N5ON/zeLBddM4aczBn6usNWKUvWec9rAtM/8WCHEl+dH0/oxtiAJty/ETc9t/NS/k74MNrORk4Zk8rcLRrPuNyfz7NWT+N6kApLizLR0+Zm3soKzH/iIU+Yu4z9L99Lk8h2RebR0+bn95a2c9cAKlpe2YDJoXDq5gGW3ncjDl45nSnHqdyag1WNDVTtn/ms5S0qasZoM/PaMobxy3bGMyHUe7akJIYT4khzVNojr1q3jxBNPjN2/5ZZbALjiiiuYN28e9fX1seAWQL9+/Vi4cCE333wzDz74IDk5Ofzzn//k/PPPj42ZOnUqzz33HL/97W/53e9+R3FxMQsWLGDSpElf3YUJIYQQQgghxHddeyWggzke4g/wxU98OnQ19rYbBDW+R09lLU9TdFf0g2pnPjTvVOupA2Hbj9X6mO999jkaTXD8rfDyj+DjR2Hqz2DnG72tFOPTwVUDWrT1Xv0mVeYptVhV2WrdAyPOU/tctaototEE2WOi47fg8rtip3NYHLhMyTiBTEMnw3N6P2Rt8arnoSestXRvJZpRfRA+MrM4Nu7p7U8DkMI4RmeMiG1/fn0pZD6BwdTF4OTB3DH1jlj1rP+trqSs2UNqvIUbZ/RW6QJ4bVMtNy/YREQHW+BMiHuQNm0lFzz+Kq/++FxOyDuBFFsKrb4WLp3awcML42iomoQ5u4zndj3HVSOuYkSuk5OHZvL+zkZcnSqEt6N1B7+eeC6FqXFUtnbz2qY6LplYwKi0UaxpWEPEUkZKfCqtngAr97Zy/CFaIWqaRoLVRJc/RHcgBMgviIUQQghxZF08sYD/rq5kd2MXd79Twl3njfxMjzcaNK6dXsw5Y3L599K9vLi+hqq2bh5fUc7jK1RF1kSbiaLUeHKT7GQ6rKTEW0m0mWJtsju9QUob3XxY0kRHt/pRw9iCJP58zkiG5Ti+tGtdVqrehx434NCtqYUQR5bJaGDunDGc8c8VfFzRzt/eLeHXpw/9Ss8/dUAaUwek8Yezh7OitIVXNtby7vYGdjd2cdfbu/jbuyVMH5TO+ePymDE0I/bv1eflC4b53+pK7v+gFLcvBKgw6i9mDaYg9btb6e/NLXXc8vxmAqEIAzISeOj74xiUmfjpDxRCCPGNclTDWieccMIhfz0yb968/bZNnz6dDRs2HPK4F1xwARdccMEXnZ4QQgghhBBCiM+rrUwtU/v3LY3Uw56slt6O3qpZ2j4f9PaEs7qiYa2e8JYtGnBKyFSVu1r3gMEMg079fPMcfi68+2sVHOsJafW0XoxWrVL7LKrKV3u5CokBtJZCQpY6fyQI7npIyoesaIiqaQfugKqqFW+Ox2gwUhlMZhQw2NbR54PtZq+qaJAWp4JtH1Wo6mFWLRmbyQZAd7Cb3V3LQYNT8i6KPTaiR3hk558x2hqIMybxwIwHiDOrD7Y7u4Pc/0EpALfMGkSC1UiNuwaDZqC1I45fvLCFiA4Xjs/jztmncuOHW1jTuJw281v8bH4/nrl6ErMHzObJbU9SFVjCtIGXs7x0BPbMJNp8bbxX+R5n9j+Tn80YyPs7G9ld7cCWA6XtpRgMGt+fVMBfFu7imTWVXDwhn/GZ41nTsIaNTRs4bcRlPLOmitc31x0yrAWqVUeXP0SrJ0BhavxnfJGFEEIIIT4bs9HAnbNHcPEjq5m/torZY3KY3D/10x/4CVlOG3ecPZzbTh3MkpJmlpe2sKGynT3NXbh9IbbWdrK1tvNTj5ObZOfGkwZw4TH5GL/E6jIVLR7KWzyYDBpTB3z26xNCfLkKU+O5+/xRXP/sBh5ZVsaA9AQumpD/lc/DbDRw4pAMThySgcsX5K0t9by4vob1le18uKuJD3c1EW8xMnNYJrOGZzFtYBqJNvNhH7/dE2DBumqeWllBfaf6kdLwHAe/P2s4E/epQP1d9NjyMv70lvqB2sxhmdw3Z8xnam0rhBDim0P+dRdCCCGEEEII8eVrVxUDSD5Ia0Jr9FehfjdYouGbnrCW0QphP2im3uCUt0MtTdGqSslFUL5MredPAtvnrC5gNKvA1tpHVOUsqwN6qmH1tGCsXQfZo6HmY6haA2mD1Pbm3aotoiMHOiqhs0aFtdKHqP2eZjyuWgASzAkAbPenMwror9XFpqDr+n6VtTY37AUbZNpzY+M+rFpMRPMTCaQye8hxse1/W/UwXvMW9IiJe06cS1Z8VmzfQ0v20NEdpDhLp9n0Kic9/wqtPnVdxnAmYdvpnFwwjbvPH4XBoPGLiT/jgjeWY3JsYU3ZDp5elcl5I87jyW1PsqJuBU+ffhsb/92Bp/UYrOnv8+LuFzmz/5mMzHNy0pAMlpSrylplnSqsd+H4fP7x3m621brYXNPJMVnHwGZY27CWv038Jc+sqeLtrfX8cfYI7JaD/yo7y2mjtsNLQ+eRabshhBBCCPFJk/uncvGEfJ77uJrbXtzC2z+bRvzn/MI8zmLi9JHZnD4yG1DVZCpbu6ls9VDX4aXJ7ae9O4jbF8QXVD9acNhM5KfEMalfCpP6p36pIa0e7+9sBGBCUQqOzxC0EEIcOWeMymZn/QAeWLyH21/ZSnK8hZnDMo/afBw2M5dMLOCSiQXsaerilY01vLqxjtoOL69uquPVTXWYDBojcp2MyU9iaHYi+SlxZDps2M1GNE1VCqxp87KrwcWqslbWlrcRDKtiHtlOGzefPIjzx+cdkX/nvilC4Qh/XriTJz+qAODKqUX87sxh3+nnRAghvu0krCWEEEIIIYQQ4ssXDSnhPMivgHsCWgFPb2WtnkpWpmhYyxIP/k5V1aqnHWJPq0RnHtSuV+sFk7/YXAedqsJaexdD7ngoW6yCYj3VvBq3w4QfqbBW5QqYGG292LxLtUVMKlBhrY4qKJyi5u0sgM4qultVVaueSleruzK5BEgN1ILPBTYHroCLYES1tkm1p+IPhantqsVkgwEpBbFpvrXnA7XiGc2QbBVO29m6k2dLHwWgv3YpxxWMj42v7/Ty5OpdWNKW0pm6kse3eQGwGCyEIhHCxkbi8udxwjEFGAwTABicMpiTC07m/ar3saR9yN/ezWHW8OmMSR/DpuZNbGxdzO/PmsFtr7ZiSfuA9Y3rqe+qJzshmxtPGsCHD9cA0OHvoN3XTnJ8MmeMzOaVjbU8u6aSP507GqvRSquvlWRnO/kpdqrbvLy3o4HZY3qDaZ+Ul2xnfWU7Fa2ez/sqCyGEEEJ8Zr85YyjLdjdT1dbNn97a+ZnbIR6MzWxkcFYig7OOblurNzarHxCcMvzoBUGEEPv7+axB1HV6eXlDLdc9s55/XjyW06Jhz6NpQEYCvzhlCD+fOZiN1e28s62B93c2Ud7iYVN1B5uqOw77WCNyHVw+uYizx+R84XaK33RNbh+3LNjMij3qR1y/Om0I1xzfH+1AVcqFEEJ8axiO9gSEEEIIIYQQQnwL+VX7v1jbwk+KtvYj5FXBLOgNaxmj1bPMdrW0p4Bb/eqfSEgtE7OhWbUKJHP4F5tr4VTVytBd11s1y56klvHpqiWjLXq/YoUaoxnA2wbuBkgqVPs6KnuPmVoMgLejQh3OpK5lY6uJGl21OqRuAwBtvjZAVd+yGq1sr3MRMaqKYgNTVNgtokdY37wagKK48RgNGrqu8+c1f0YnTNA1gstH9LZGDEVC3PLOg5gL/4o1/QP8ES9DU4Zy3wn3sfCcZYTL7yDQPhE0nX+s/xMfN3wce+w1o68BwOzYgpcGfvfqNs4qPguAN8ve5ILxeZw+bAjhblU17c29bwMwtiCZ44pziATVa17pUs/H9yepwNnrm+vwBjTGZIwB4OPGtZwbDWi9tKH2kC/RwAxVmay0seuQ44QQQgghvkyJNjP/uGg0APPXVvHu9oajPKMvz5aaDjbXdGIyaJw5OudoT0cIsQ9N0/jb+aM4a3QOwbDO9c9uYN5H5ei6frSnBoDBoDG+MIXfnDGMxbeewIpfnsh9c0Zz1XH9OG5AGv3T4km0mrAYDZgMGqnxFoZkJTJ7TA7/d+YwPvz5dN68cRoXTcj/Tge1whGd5z+uZtZ9y1ixpwW72chD3x/HtdOLJaglhBDfAVJZSwghhBBCCCHEl6/nQ+SDfcDYE8QK+sASDWARHWuM/qlqtKilzdkbhAoF1NKerCpZAaQcpNXi4TLbIWsE1G3srfilh6PnTgJPM3S3qDaN7RXqfupAaCmBhq2Q2l+NbSntPWZqMZQtxutWISS7yY4/FKa6vZv1pkHkGVugchX0PyEW1kqxpQCwqaoDg7kDgOx49evp0vZSvGE3etjC+MwxAKysW8nm5s3oETPBprM5Odoao9pdzc2Lf0GJbzsGE2TZ8/nFxJuYWTgTTdP445s76PKZGGa4gpH90llY/ha/XvFrXp39KvHmeIakDOGEvBNYUrMEW9pSPtiVzonDRmDSTJS0l1DhquDP54zgpEfGEIwvY/62d/nR6B8CcN2JxVz1bioGcyc7mysYkzGG8YXJDMlKZFeDmxfX1zAxayJr6tewrnEdPx03m39+uIcVpc00uXxkOGwHfImGRiuJbavt/CKvtBBCCCHEZza1OI1rju/Pf5aVcduLWxie4yAvOe5oT+sLm/u+eu965qhs0hKsR3k2QohPMhkNzJ0zhgSrkflrq7njjR3srHfzh9nDv3YBp7zkOPKS4zh37NGeyTeDNxDmjS11/HvJXspaVPXoYdkO5l48hkGZR7fiohBCiK+OVNYSQgghhBBCCPHls0Y/YPQdJFwTC2t5e6tl9eS6PtkW0WyHkE+tR9sFYo5XASqA+IwvPt/MEWoZjh7fqypbEYhWCKtapVokApQthexRar1+c281rpaS3uMlqwCZv0tVX7AZbVS3daPrsMkQrQRWvgyAdp86V7ItGYDNNR1oJhcAGXHq2jY2bVTT8xYyLDsJgP/t/B8AwfZJjM0pJCnOwtbmrVzy1iWUtG9HD9vICn6Pty94nVlFs9A0jYZOH/9drYJvvzx1KL+f8n/kJeTR4GngwU0PxqZ/9airAbA4N6GZOrn7rWpGpx0DwPuV75MUZ+H2E88FoCm4izUVqoXOlP6pJFuyAFi4axugfhV+6WRVfex/qysZlz4OgA2NGyhMjWNcQRIRXVXeOphReeqa9zR30eUPHXScEEIIIcSR8PNZgxmd56TTG+S6ZzbgC4aP9pS+kFc21vDhriZMBo0bZww82tMRQhyE0aDxl3NHcvtpQzBosGBdNbMf+IhdDa6jPTXxGUUiOusq2rj95a1M/PP73PbiFspaPDjtZn59+hBeu+FYCWoJIcR3jIS1hBBCCCGEEEJ8+RJVRShcB2lvZ45WIwh596++1XNfi/7Jatj3V8P7VOzqCXlZvoTKBj2BK3cdOPJ6t7ujrW6adkCeCitRvhSyx6j1uo2QPlStN5dAJPrFXXIRAH5PMwBWo5XqNi8AFc5JakzNWvC7aff3DWttrelEM6mQWHpcutrWshWAsLeAQVmJtHhbWFW3CoBA+2SOHZBGWWcZ17x/DZ3+TnRfPp6ym/j1tKswGXqLaj+4eA+BUIQJRckcPzCNOHMcv538WwDm75xPeWc5AKPTRzMuYxwRQhQWbcbtD7G3QgXQFlcvBuDC0WOwkYamRfjt228SiehomsbkggEAbKqvoDugXqNzx+aSaDNR3uKhtSMTk2ai1ddKnaeOc8eqVogvH6IVYnqildwkuwq7VXUcdJwQQgghxJFgMRl44HvjSI4zs6Wmk5+/sJlI5OvRjuyzWlvexq9eUu8tbzhpAMXpCUd5RkKIQ9E0jWumF/PUDyeSlmClpNHN2f/6iLnv78Yf+mYHR78L9jZ3cfc7uzju7g+54N+rmL+2Crc/RH6KnV+dNoSPfnUSPz6+GLNRvrIXQojvGvmXXwghhBBCCCHEly+1WC1b9hx4f0+7wYCnt5JWT9Cp54svPdJ3CaoVIfRW2ILelotfhFMFhnA3qJaIAPFpaplU2HfO5csgR1WHona9asNojlPVv1r3Rh9TAEAgWqHLYrRQ26HCWsbUfpDSX4XNypbGKmslWZPo8ocoa3GhGVUrhDS7msO2lh0AhH25DMhIYGn1UsJ6GEOgAD2YxjFFDm5deivugJsc2xC6Kq6mf3IuJwxKj11ibYeX5z5WrSNvmTkYLRqKOzb3WI7PO56QHuL+DffHxn9/6PcBiCSsJjXBRE2dCmttbdlKq7cVgOPyJwBQ6dnJKxtV2OrYIhXWCmltvLi+Rj2VVhMXHZMPwDOr6hmYrCo47GzdyZmjcjAZNHbUu9jb3HXQl+iYIhVm+7ii7aBjhDiSHnroIfr164fNZmP8+PEsX778oGNffvllZs6cSXp6Og6HgylTpvDuu+9+hbMVQgjxZctPiePB74/DbNR4a0s9v31t2zcusLW+sp0fPLkWfyjCyUMzuPEkqaolvl7k/dbBTRuYzjs3TePkoRkEwhHmvl/KafcvZ/GupqM9NfEJ4YjOO9vqueg/q5hxz1IeXrKXuk4fCVYT543L5dmrJ7H01hO5dnoxCVbTpx9QCCHEt5KEtYQQQgghhBBCfPkyhqll8y4I+fff3xN88neB0aLWY2GtaBCrpyVh0AcGs1rvaZ/od4Mpun6wVoufRVyqWna3QvoQtR6tdEV8NPDkbgSjFboaweZQwbGuBhXwyoy2NmzYopZJKpjkD6nQlcVoodGlWjlmO20wcJYat/udWPApzZ7GznoXmrEbTdPR0EiyJuEP+6lwqYpXyaZ+OGxmVtatBMDbOQijQaOk+21K20tJtiYTabgCdCuXTS6MBbJAVdUKhnUm909hSnFqn8u/edzNGDQDH1R9wJZmdQ0nFpxIqi2Vdn8b157mx0ISYZ+qmNZT1euY7NEAGG013PNeCb5gmOyETAA0cydPflQR+xLziilFaBos291Mll0Fv0rbS0mOt3DcQBVKe+MQrRAnFKUAEtYSR8eCBQu46aab+M1vfsPGjRuZNm0ap512GlVVVQccv2zZMmbOnMnChQtZv349J554ImeddRYbN278imcuhBDiyzS1OI1/XDgaTYNn11Rx/bMbvjEtmrfVdnLlE2vxBMJMLU7lge+Nw2jQPv2BQnxF5P3Wp0tLsPLo5cfwr0vGkpZgoazZww/mfcz3Hl3N+kr5O+lo03WdN7fUMfPepVz7vw2sLW/DoMGMIRk89P1xrPvtydx70RimDkjDIP/+CiHEd56EtYQQQgghhBBCfPmSCiAuTQWv6jbtv9/qUEu/C6yJaj0cUMuQCjURVJWo8Lb3hql6wlquWkjMjK4fPOBz2CzROQS6e1si9rRc7Gm3WPMx5EYratVv6g2k1a6HrFHR7ZvV0pYEJjv+aFjKZrTR5FKhtYxEKww6RY0rfY8WbwsAqbZUttd2ohm7AXBYHZgMJso6yojoYfRQHP2Tc9B1nQ1NGwAIe4oZmGnjf7ueAuDC/tdQWq9hMRk4d2xvO8ea9m5eWFcNqKpanxT2ZzI4/gQA7vlYVdcyG8ycXXw2ADtci/nnJWMJe1T1hXkb3gdgaIpqAWmOa6Cu08dza6vIissCwGhyU97iYelu1QqyIDWOmUPVa1bf7ASgwlUBwJmjcgB4Z1vDfnPrMbGfCmttrOogGI4cdJwQR8K9997LVVddxdVXX83QoUOZO3cu+fn5PPzwwwccP3fuXG677TYmTJjAwIED+ctf/sLAgQN54403vuKZCyGE+LLNHpPL/RePxWzUeHtbA2f8czkf7Wk52tM6pOq2bq58ci1uf4iJRSk8dsUx2MzGT3+gEF8heb91eDRN46zROXx46wlcc3x/zEaNlXtbOf/hVVzyyGo+3NVI+BtW9e/bYEtNB+c8tJIbnt1IWYsHp93MDScO4KNfncTjV07g9JHZ8u+uEEKIPiSsJYQQQgghhBDiy6dpkD9JrVev2X+/TYV18HWAPUmtBzzRbS61jLYQxNMEzmjwyGRVy9a9qpUgQMvuLz5fY08rxiAkF/WdT1c0QNS8E6KVpFRwa6xar9sI2dGwVk9lLU2DhAy8mvqz22ay0epRYa3UBCsUHqcCa12NtHSoqllpcWmUNLrRTKoVYLJVVfba06FaSYb9mfRPS6DeU0+LtwUNI2FfHmkZpbT6WsmMy8TVrOZx8tAMnHHm2OU9uHgvwbDOsQNSKc7SKesowxfyoes6d7+zi1PvX8bHm45B141saF7L7955lUhE5/T+pwOwrGYZxw5M4PujZwCws2M972zrbWeoGzvA4OXhpXtxWKIVyYxe0II8taoiNo8fHqcqam2rVM93jbsmNl+jQWNXg5vKVs8BX6IB6Qk47Wa8wTDb61wHHCPEkRAIBFi/fj2zZs3qs33WrFmsXLnysI4RiURwu92kpKQcdIzf78flcvW5CSGE+Ho6e3QOz/14CjlOG5Wt3Xz/sTVc8cRa1lW0oX8ZLbq/RJ3dQa58ci0tXQGGZjt47MpjiLNI2y3x9SLvtz47h83M7acPZfGtJ3DRMXmYDBqrylr54bx1TLv7Q+59r4Q9Te6jPc1vvS5/iDte387sBz9ic3UHcRYjN588iI9+dRK3njKYbKf9aE9RCCHE15SEtYQQQgghhBBCHBkFk9WyatX+++zRD9C9HRCfoda7W0EzABEwmNTSZAc9Aomq/R6haPWtxh2QOVKt167/4nPVeyo1aeDMjc4n2kbC3QCO6LaeYFn9FsgeE13fDFnRuTRshZ4v6OLT6I62Nogzx9HmUXNPiTeDyRJrhdjYVQtAVlwWJQ3uWGWtJKs6V1lnGQCRQAZFafHsbN2pjkku6GY8ZlVl68z+Z/LudlXV4axopSp/2M/6ulJe3vk+lvS3aXL8kROeP4HZr81m2nPT+N5Lv+PhJSXoOhxXNAhn8DgAXip/lBvmb6AwYQBFjiICkQAraldw6/GnomHAYOng1peX0tFlJCNOvX5pyZ00uvx8sM2NxaBaW2omN0tKmmMBrEn9UhiW7cDvU5XVGrsb1bXGWZgUrZz1/s6mA75EBoPW2wqxXFp8iK9OS0sL4XCYzMzMPtszMzNpaDh4Nbh93XPPPXg8Hi666KKDjrnrrrtwOp2xW35+/heatxBCiCNrfGEy79x8PFdOLcJk0Fi6u5kL/r2K2Q9+xLNrqnD5gkd7ingDYX709Dr2NnvIdtqY94MJOGzmT3+gEF8xeb/1+eUlx/G3C0az7LYT+dG0fjjtZuo6ffzzwz2cfO8yZtyzhD+9uYMlJU3fmLat3wS6rvPe9gZm3ruUeSsr0HWYPSaHJb84gZ+dPJAEq4RihRBCHJr8n0IIIYQQQgghxJFReKxaVq6ESAQM+/xeKC4a1vI0g0MFi+huAWc+dFZDYhZ01qjgVOsesEXbJnbWgDkO/J2QFP1gvXypCkhFWw5+LiFV9QqTFRKiXxCE/SpU5m0DZ4FqvdgTxGreBZkj1HrjNtUSUTOowFlXk2rRaEvCE1DXHG+Kp8OrvrBz2lWQiaFnEtn2Io2hbtAgw55BWcs2NEvfsFZ5p6q8FfGnU5Qax842FdYK+3KACDU+1XpxUOJUqtqasZg0XOaVXPjGc5S0laCjY4kWJmvwgoZGvDmermAX2zyvYc/fwW+O+TuXTiqmydOPU146HeKqeLdsKS1PBpg6ejoVrgo+rPqQU/udyvDUYWxr3YbPtIefP7+Zon5FNHU3cdywCK8uhydXVpCWl0adp47x/Uys2w3Prqni9tOHomkal08p5PbXqwBo9bai6zqapnHi4AxW7m1l6e5mropW4Pqk8YXJvL+zkU3VHZ//tRbic9I+8W9Mz3+7n2b+/PnccccdvPbaa2RkZBx03O23384tt9wSu+9yub4VXyAKIcS3mcNm5o6zh/ODY4t4eMleXt5Qy5aaTrbUbOWON7YzfVA6Jw/N4PhB6V95dZVGl4/rntnA+sp2Eq0mnvzBBDIdtq90DkJ8VvJ+6/PLSbLzmzOG8fNZg3l3ewOvb6pjWWkze5s97G0u57EV5RgNGoMyExmd52RotoMhWYkMzEwkJd5ytKf/pejsDrKuso0ddS6q2rrp9AYJR3TirSbSEqz0S49naFYiw3Oc2C2fvyXhznoXf1m4k+Wl6sdSBSlx/OXckRw3MO3LuhQhhBDfARLWEkIIIYQQQghxZGSPUsEqXwe0lEDG0N59PYGokA8MZjUu2K3CWZ3VEJeqglk9lawi0V8A16xV7RXLFoPfA0YrdFSpwFRPdavPo6floSUezHZ13LBfVfTytkFctLWfr1NV/Qp2986tqxGCXkgqhPZyFeRKzASbE3eXCmslWhJxedU1OOzRP8UHzKTJYiekgUkzYiaJju4gFns0rGVTx6/orFBPQSCDwtR43tpRAoCrMwODrR5f2EOiOZGahmSgiZzit/jTmuWxS9MjJiLBZCbnjuGiYbM4NvdYTNg58eEH6XI8jSmhlGqeB24nIz6D7w+9mKd2PEVcxvusLR9ESzANEmFF3QpCkRBjM8eyrXUb1oQq1la0MT0nFYC89G7sZiO7GtyMKnAAdRw72Mq63fDC+hp+PmswFpOB2WNy+fPCRPXy6yG6Q93Em+M5flA6f164k7XlrQRCESym/YuBj85X7TMlrCW+SmlpaRiNxv2qOjQ1Ne1X/eGTFixYwFVXXcULL7zAySeffMixVqsVq9X6hecrhBDiq1eYGs9fzx/FL04ZzIvra3hxfQ2lTV0s2tHIoh2qkmj/9HimFqdy3IB0jhuYdsSqrnR6gzy7poqHl+zB5QuRaDUx74cTGJLlOCLnE+LLIO+3vjw2s5HZY3KZPSaXTm+QFaUtLN3dxOqyNqrautlZ72Jnfd/2jynxFvqlxdMvLZ6i1DjyU+IoSFHL1HjLYQXmjpb6Ti9vbq7nne0NbKhq53A60ZoMGsNzHEzsl8LEfqmMK0giNeHQ/134Q2EW72piwcfVLC5pBsBiNHDVtH789KSBXyj8JYQQ4rtJwlpCCCGEEEIIIY4Moxlyx0PFctUKcd+wliUOLIkQcIOnCZL7QdN2sKdGHxv9oDQSbU/YVg5WhwpLpQ9RYa2yD2DgTNj1JmxZ8AXDWl3ReSX0zs/r723XaIpWQnDVgjMP2itUFS1HrtrWugfSB6uwVstu6D8drIm4om0QEy2JdAdUWCv2xZw1gaqCYyBcSY4xjpp2Vd0r3u4nhKqsFdEjVLur1VMRSCU/pbeyVsibgzVe7RuVMYo1ZR2YnOtpNSzHqBm5YewNBDvGcfdbdfRPT+Cx06ZjiM7nseVlNNQPIC18Of7Ux3h217PMKJjBxOyJXDniShaULMBnqyYltYqymnwcg+NwB9xsa9nGqPRRAGSmN1FWB1vKzZAETd5azh59IgvWVeP2qKoNOakhMhIdNLn9LNrRyBmjsrFbjJwxspA33UY0LYzL7yLeHM+gzARS4i20eQJsre1gfGHKfi/TiFwV1qrt8NLa5f/UD9SF+DJYLBbGjx/PokWLOPfcc2PbFy1axOzZsw/6uPnz5/PDH/6Q+fPnc8YZZ3wVUxVCCHGUpSZYuWZ6MT8+vj+7Gty8u72BJSXNbKnpoKzZQ1mzh/+trsJqMjBzWCbfm1TAlP6pX0oQorLVw3+WlfHKhlq8wTAAI3Id/PPisfRPT/jCxxfiSJL3W0eG027mjFHZnDEqG4CGTh+bqjvYVtvJznoXJY1uatq9tHkCtHkCrK9s3+8YCVYTBSlxFKXFUZQaT1E01NU/LZ6UoxTk6g6EeGdbAy+ur2FVWWufgFb/tHjGFCRRlKrmZzJodPlDNLn9lDa62V7nosntZ3NNJ5trOnl0uapknZtkZ3BWInnJdtISrJiMGsGQTpPbR2ljF1trO2P/tmoanD4ym1/MGkxRWvxXfv1CCCG+HSSsJYQQQgghhBDiyCmYrMJaNevhmB/23efIhha3CjulD1JhLVM0fNMTnnLVqWXdBhg4C0oWgh4NcFWsgNkPqbDWpmfhxN+C+XO2dvG71dKqKj6hRX8Va41+sWWI3u9qhsQcFdZyN0BKfzX/9gpIHaDGtO6NHasj+jin1Yk3qFok2M29v7ityBwIdZUUBfzUdngBiLP7cKHCWk3dTQQiAXTdgNOcTkB30djdiIZG2J9NYtYmvMCI1BE8srIJa867ANw49kauGnkVZz+wAtC4dFJhLKjlDYR5aIma423TzmN32M2CkgX8ec2fefHsF0mzp3HewPN4dtezjBy+kT1bhtDqHoDZuYX3ypdy6fALAWgLVpKXYqShy4E9CWq6avj5hHwWrKumqd2CwQnt/jYuGD+Kh5bs5eUNNbEvCc4dm8cbi21oJg8dfhfZCdlomsb4wmQW7WhkY9WBw1oOm5l+afGUt3jYWe/muIES1hJfjVtuuYXLLruMY445hilTpvDII49QVVXFtddeC6iWOrW1tTz99NOA+uLw8ssv5/7772fy5MmxKhF2ux2n03nUrkMIIcRXQ9M0hmY7GJrt4KaTB9HZHWRNeSsf7Wlhye5mKlu7eXNLPW9uqWdYtoObTh7IzGGZnyv0EI7o3P/+bh5aspdQRCUWhmQlcvW0/pwzJgeTcf9qpUJ8Hcn7rSMvy2njVGcWp47Iim3z+EOUt3goa/FQ1eqhorWbqrZuqlq7aXT76PKH2FHvYscnqnEBJMWZGZSRyOCsRIZkJzIky8HgrMQjUjnQHwqzck8rb2yu453tDXQHwrF9E4tSOHN0NjOHZX5qy1ld16lp97Kuso215W2sq2intKmL2g5v7G/yg8l22jh7dA4XTyygn4S0hBBCfEES1hJCCCGEEEIIceTkjFPL2vX773PmqypUHVWQMRy2v6LaCQK0lql2g10NvdWrkovUvorlkHsM1K5TLQid+ap14pbnYPyVn2+enwxr6dEPfnvCX1r0Sy5fR28oq7tVnRvU+VP6q/X28uixHHREvxxLMCWh6yqsZd0nrFVuUx/wFrlbaWtRrRRM5m7QIcWWQo27Rk0nmExecgLbWrYBkGzJxRWxollVmC3F3I9u42bsZjeZcZlcPuxy9jZ3saWmE5NBY/aYnNg5X1xfTZsnQF6ynfPG5dId/invVbxHWWcZr5S+wkWDL+KyYZcxf9d8NjSv5tHv38KNLw/Dxxae3/4hN469njR7Gi3eFs6eCP9erEJV1e4axhUkUZgaR30wASvQ4m3h4nG5PLRkL0t3N9PmCZASb+GYohQMug3wsLainqGpgwEYnedk0Y5GttZ2HvSlGpyZSHmLh10NLo4bmHaIF1WIL8+cOXNobW3lzjvvpL6+nhEjRrBw4UIKCwsBqK+vp6qqKjb+P//5D6FQiOuvv57rr78+tv2KK65g3rx5X/X0hRBCHGXOODOzhmcxa3gWuq6zrdbFcx9X8fKGWnbUu/jxf9dzTGEyd84ewbCcw29XGIno3LRgE29sVu8Jjx+Uzk+mFzO5f8rXum2ZEAci77eOjniriRG5zlgV4335gmFq2r1URkNcFS0eKlpVlcC6Ti8d3UHWVrSxtqKtz+Pyku0MyXIwLDuRwVkOBmQkUJQWh9V0+K0CwxGd0iY36yvbWVHaworSFtz+UGx/YWoc54/L49yxueSnxB32cTVNIz/a4vHcsXmAah9b0uBmd6Obhk4frR4/obCOyaiRnmClIDWeMflJ9E+Lj/0ISgghhPiiJKwlhBBCCCGEEOLIyR2vls27VCCqJwwFkNIP9qJaHOZPVNvaK8DmVO0OM4dD4/be6lXeDjCYoWkHTP+lCmtt/C9Muhbe+w18dD+MuRSMn+NP3U+GtUKqJSEGS3QZPWagG2xJvY9JjP4i2d0I2aOj11CpDmFNpMOgwlpOa3LsVJZ9qhvs9TYB0D8QINK4HsgkYnBBGFLtqdR51BdvkWAy2U4721rWquMZ+gFhfFq9Opc3C5PjvwCcXXw2ZqOZRTvUFxlTB6TF2gXqus4za9T2q47rh8lowGF0cM3oa/jr2r/y783/5uzis8lLzGN6/nSWVC9hWcMbPHjexVz14XP4DBXcuXADI1JHsKRmCRlpTSRbsgkAHf52PEEPZ4zM5tHN6nls8bYwICOR4TkOtte5eH9nIxcdk4/RoJFoScCtt/JxdT1XRP8z6flysqTBfdCXakBGAmyHilbPQccIcSRcd911XHfddQfc98kvBJcsWXLkJySEEOIbSdM0RuY5GZk3kltnDebR5WU88VE56yrbOeuBFVx3QjE3njQQi+nTK2I9uryMNzbXYTZq/O2CUbHggRDfVPJ+6+vFZjYyICNB/Q32Cd5AmL3NXexudFPS4GZng5uSBheNLj817V5q2r28v7MxNl7TINthIzfZTqbDRnKcBYfdhMVoRNNUMMztC9Hs9lPV1k15iyfWdrBHRqKVU0dkMXtMDuMKkr+0UKrTbmZivxQm9tu/urMQQghxpEhYSwghhBBCCCHEkZOYqdoGuuugYRsUTundl1Kslq17YOKP1HrLbuh/Auz9AOIzgO29bQ/LlkDxSVD6rgpNWRLVY5OLwJ4CbWWw/WUYddFnn2dP20VLAkTCEOxW93uCX0azWob9YI62VQh2Q3y6Wvc0Q1KRWu+oAl2n3WRG1zQMQIKpt0LCvp8n7+1Q7QiLg0GaOrYDmfj1DgDS7ensaN0BQCSYRKbDytaWrWqaoX4YrM1ECBJvjqexzYYpfg8AMwpmALB4lwqCnTw0I3a+7XUudjW4sZgMnLfPl3kXDbqIp7Y/Rb2nnhd2v8Blwy7jgoEXsKR6CW/ufZObx99MmjWHFn8dz29bzpxj1bWWdpRw4bjL+G9dHAZTN7Vdtcwclskj61VYq7FbzeGU4Vlsr3Px3nYV1gJIjXPg9sCOht4P8Aekq8eVtXgIR3SMB/jVcmGq+tV0eYuEtYQQQgjxzZYcb+G2U4dw2ZRC7nxjB29va+BfH+5h6e5m/nnxWIoO0WarrsPLPYt2A3Dn7BES1BJCfKXsFuMBK3K1ewKUNLrZUeeipMFNSaObvU1duP0h6jp91HX6Dvsc8RYjI/OcTC1OY9rANEbnJUllKyGEEN8aEtYSQgghhBBCCHFkZY+OhrW29A1r9bQTbN0DjhxIzAZ3PSQVqO2h6Ie4TTtViMpdBxOuVmGt7S/DmEtg7SOw/kmYcj18+EdY9ncYcT4YDr+9AgD+aFjLmqCqen1ST1grEuptjRjygT1aMcvbDs7oF2RBD3S30WZSj0nSNUwHqPblDrhpilbWKg4ECXkrgDDeiDp/elw6DZ4GAPRgEmnxVpZG2yAGu/MwWFXQa1DyILa17EIz+rEY4hiSMgR/KMzG6g4AjhvQ2yrw3e3qeDOGZOCMM8e2m41mfjTqR9y56k6e3PYkcwbP4djcY0mxpdDma2NV3SqmF0zhpdKXMMXtZW3JSLDDjtYd/G1yLk9XpoCpm5K2cs7sP4gEYyphoM6tznfSkAzuXbSb1WWtBMMRzEYD2YnJVHigztWGLxjGZjaSk2TDZNAIhCI0unzkJNn3e94KU9WXltVt3v1fJyGEEEKIb6Bsp52HLx3PW1vq+fUrW9lS08kZ/1zOH88Zwbljcw9YPeafH5QSCEWY2C+FiyfkH4VZCyHE/pLjLUzun8rk/qmxbbqu0+oJUNnaTX2nl0aXn47uAC5vkGBER9d1rCYjCVYTGQ4r2U47xenxFKbGH/AHPEIIIcS3wafX0RVCCCGEEEIIIb6InvaAdZv6bk8fpJateyAc7G2ZaIiGiBp3qLaE3rbefd421YbQVRs9rgZ73od+09X2lt2w47XPPseeNoiWBBW8AjDHQzig1k3R0JCu984vHOxtmxjoUiGunkpbrhpajepD5ZRwBOM+X7CFIzoAFZ0VAGSYE0nUdZyBRjSTG9AxGUyk2FJo7FZVpyJBJ0ZLGx3+DkwGEy5XGkZbLQBDUoZQ2bUTgH4JwzEajOyocxEIRUiNt9Bvn4oMS3Y3YbBVEZe+gpd2v0SnvzeYNrt4NhlxGTR7m3l97+uYDCZmFc4C4N2KdxmfOT76tFSwt0b9erq8s5z8VDNxBlW966Py3RgMGuPzigBo97cSioQYlu0gKc5Mlz/E1lp1zsx41WIionWzu1E9/yajgewkFYaraT9wGCs3Wb0W9Z1eItHnUgghhBDi2+CMUdm8c9M0JvZLwRMIc8vzm/nJ/zbQ8IlKNHubu3hhfQ0At50y+EtrBSaEEEeCpmmkJVgZX5jMmaNyuOq4fvx81mD+MHsEfzl3JHedN4o7zh7OracM5vIpRcwclkn/9AQJagkhhPhWO+phrYceeoh+/fphs9kYP348y5cvP+jYK6+8Ek3T9rsNHz48NmbevHkHHOPzHX5ZTSGEEEIIIYQQX6LsUWrZsLXvdmeBCkeFAyqwlXeM2u6uVS0O/Z2QM05ts0VbK+x6C0bNUeu734GhZ6n19U/C5J+o9RX3qlDVZ9FTTcue1BvWikuBQLTVniWud6xxn7BWT5WtYPRvTkeOWrrq6TSoP7mTQkHM+/z1HQipto4VrgoACuOyAIgPuzCYOwDIjMvEoBliYS095KRTLwdgcPJgWtwRDNGw1tCUobSH1b7hqSMAKGlQ4acBOWE2N29mZd1KHt3yBGWWO4nv9xDvNTzGHavu4MxXzmRT0yZ1iUYLVwy7AoCndzxNRI8ws3AmAMtrljMmYwwABlstetiGiUTCepi9HXvp5ywEYEezmsfkgiL0iAmdCI3djRgMGuMKVBWyLdGKX0m2JAA0o4e9zV2x5yczUT2nLV1+DiQj0aqe8rBOe3fggGOEEEIIIb6psp125v9oMj+fOQiTQeOd7Q2c+I8l/PmtHWyu7mBLTQfXP7OBcETnpCEZHFOUcrSnLIQQQgghhPiMjmpYa8GCBdx000385je/YePGjUybNo3TTjuNqqqqA46///77qa+vj92qq6tJSUnhwgsv7DPO4XD0GVdfX4/NZvsqLkkIIYQQQgghxCdlqgARzbsgtE+4xmCAjGFqvXE75E9W69UfQ9FUtW5PUsvWMlXdqr0c8iepbbsWwpjvq/Utz8Owc1Q1rIatULbks83R06yWcam9YS17cm/FLfM+7fgM+7RENFrUek8FrgQVvKKrgc7oj4Cd4RCmUBfmaKUtbzAMQKWrEoCCuEwAjITRzOrc2fHZADR1qzaJeshBi78MgMHJQ3D7/BjtKqw1LGU4QWM1AGMy1Y+ZdjQ2YM9/kh2mX3DZ25dxzaJr+OfG+zBYGyBiYUbBDIocRXT4O7jhwxto9KhQ2HkDzyPeHE95Zzmr61YzNnMsiZZE2v3ttHpbyYjLQCeC0V6D36PmXdJewpisYgDqPKrCw+j8FCJBFc6qdqu5jchVgbvtdS4AkqxJgAprlbd0x57etAQVxjpYWMtsNJAcbeHYfJAxQgghhBDfZEaDxo0zBvL6DccxvjAZbzDMo8vLmf3gR5z9wEfsanCTGm/hT+eMONpTFUIIIYQQQnwORzWsde+993LVVVdx9dVXM3ToUObOnUt+fj4PP/zwAcc7nU6ysrJit3Xr1tHe3s4PfvCDPuM0TeszLisr66u4HCGEEEIIIYQQB5JUoFoURoLQvLPvvmi4iIatkDNWhZ88TZAVbZ3obgA0aNoG/aerbXUbVGBLD0PjVsibqI6941UYGw1vrT7w35UH5VLBJxw50N2m1u3J+1TW6mklqIPRpFYjITW3fcWlqmV3G10RFSRKjESgq5kEq3pclz8EQG2XOmeeWYWYQgYbBos6d35iPv6wP9amMBJ00OivACA3vj8GayOaIUC8OZ5EUxYGqwp1jcsaSkSP8GH73zEllKBhIDchl4HJAxnimISvYTYDfHcz98S5PH/W8wxLHUanv5N71t8DQIIlgdnFswF4qfQlzAYzk7NViG5N/RpGp6vXJTWlkbBP/a1d2l7KpHzV0tJHE75gmMFZiegB9VyUtqpqWwMyEgCoaFXPaYpNVYHQTB6aXL3VsJ12FcRyeYMHfKkAkuNVSK7dc/AxQgghhBDfdMNyHLx47RSevHICM4dlkhxnJsFqYuawTF76yVRykuyffhAhhBBCCCHE185RC2sFAgHWr1/PrFmz+myfNWsWK1euPKxjPP7445x88skUFhb22d7V1UVhYSF5eXmceeaZbNy48ZDH8fv9uFyuPjchhBBCCCGEEF8STYOskWq9cXvffdnRUFb9JtVSMG+Cut/TarB2Q++2+Ay13PYyjLtSrW94GiZcrdbXPwXHRNdL34O28sObX3cbdKnKUqT0B280rBWXsk9lrfje8YZ9wlqRYN/5WhPVMuChO6iqRdkjOnS34IiGkDqjIaR6Tz0AORHVsrHbkobB3ApAXmIezd3Ral+6CSJ2GryqCnWGtRCjPVqtKm0Eu9sq0LQwesRKgSOfD6o+oFPfhR4xc+PgB3jn/Hd4+eyXOS39NwTbp5DjUCEpu8nOHVPuQEPj7fK3KetUlbvOG3geAB9Wf4gr4GJSlqpktrZhLSPSVPWGpORGwn5VWau0o5RRmaqylmZuZ1dDO067GSvq9drWvBeAwhTVSrKqTT0vqXYV5tJMXTS5eytkJdrU8+v2hQ70agGQHGeJPpfSBlEIIYQQ326apnHikAwevfwYNv7fLLb94RQevfwYitLiP/3BQgghhBBCiK+loxbWamlpIRwOk5mZ2Wd7ZmYmDQ0Nn/r4+vp63n77ba6++uo+24cMGcK8efN4/fXXmT9/PjabjWOPPZbS0tKDHuuuu+7C6XTGbvn5+Z/vooQQ32qLFy/mgQceIBKJHO2pCCGEEEJ882QMVctPhrVyxqhl3SbQdSg6LjpuhwpORYKQqoJAtJaC1QnuOkhIV+sdVaoClj1Fbe+ogOKTAB02PHV4c6v8SC3TBoHNCd0qMIU9BQJdat2sgkboem9YKxyEoFetm2xquU+QKxgNcll1HXydpEarQbVEg0k9YaxMl6qK1eUoRtunslazV+03RpyghWn1qb+Vky25GO0quDU6fTQlbSXq1MEcNE3jpd0vARBoO5aByYNjlxkIq/exNrMxtm1o6lCm56uKZc/teg6AwSmDKXYWE4qEWFq9lHGZ4wDY2rKVQcnRClpaNZFoWKu8o5z0uHQ03Yqm6WxpVCG5ZHMeAGWd6n6GQ7U3bO0KoOs6qbZoWMvYhdvXWyHLblHz80XbRR5IT6DLdYhAlxBCCCGEEEIIIYQQQnwdHdU2iKB+FbIvXdf323Yg8+bNIykpiXPOOafP9smTJ3PppZcyevRopk2bxvPPP8+gQYP417/+ddBj3X777XR2dsZu1dXVn+tahBDfbr///e95/vnnD7v6nxBCCCGE2EdPWKt51ye2D1etD30d0FYG/U9Q28uXwqDT1HpPdauq1TBwplrf8RqMvECtb30eRl+s1jc9A8f8UK1v+C+Eeis2HdSWBWpZPEMtPdGKVvHp4I+GtfZtg6hFw056GHzRysw2h1qGo+czWghFVJDIhA5+NxmJKtDVU0WqxdsCQFr1OgC6sibGKmvlJ+bT2K2qfZn0JDRTBzoR7CY7Ni0ZQ7Sy1qi0UZS79qhxoRzcATer6lcBEOw4BqupN5jV85e2rut9Lv/iweq5e6f8ndicZxSq52JZzTL6O/sTZ4rDG/JiM6pr6AjWEwkmqevxNuEJeojTVCWt0jZVoSvDpn4I1dCtgmU91bBCER23P9SnspbL11shqydM5gse/EcSibZPb5UohBBCCCGEEEIIIYQQX0dHLayVlpaG0Wjcr4pWU1PTftW2PknXdZ544gkuu+wyLBbLIccaDAYmTJhwyMpaVqsVh8PR5yaEEAfT2Nh4tKcghBBCCPHNkzFMLZs+EdYyWXpbIVavVS0PrU7VijB1gNpevhxyxwM6xKmADztegxHRsNbON2HYbLVe8g4UTIHEbOhuUeMOpXIl7HwD0GDc5WqbS7UnJCETAtGgmCVaWQtNtXXssW8Vrn3vx6XEhmgAIR/ZSSroVNfpJRAO0B1S7QCTOqrBZCfSfwoGszpfXkIeTR5VcctCMgZLOwC5Cbl4Qt0YLCpQNjxtOFVdKqxlDOWyvnE9ET2CMZyOHkzrE8xKilMBp45PBJwmZU8iyZpEu7+d9Y3rAZiSPQVQrQ8NmoHBKapCV2N3I8nWZHR0NdewavtY6a7EYcpR1+dRQbJsewEAncEm/GE/VpMBQ/Sp8wXCpNjUc6RpEQIRT2w+puig4CEq2iZYVWWtLr9U1hJCCCGEEEIIIYQQQnyzHLWwlsViYfz48SxatKjP9kWLFjF16tRDPnbp0qXs2bOHq6666lPPo+s6mzZtIjs7+wvNVwjx3ebx9H551N3dfRRnIoQQQgjxDZU6UC1dNRDw9N2XP0ktq1aB0QzFJ6r7nVUQnwH+TsgapbbVbQRHHvhd0NWgjhvyQsseSB+qKluVLIRjon8vrnpAtS48kObd8PwVan3s9yEzGiiLVoYiIb13bE9lLYOx7/G6okH+BFVVita9aunMxxitwBVCg0iYvGQV+Kpq7cYVUBW5NCAxosPwc7AkquCRHrZhNybS1K3CWjZDCgZTBwCZ8ZnUe8rRNB1DxEGaPY3qLnVOLZDNhqYNANjD0XaFod5WghkOFRarbuv7ftZkMHF83vEArK5fDcCo9FGYDCbafG3UeeooTlKtKMs6yyhyFqmnwtyCHlDhuWpXNclmFdZqC9QBkGJPRQ9b0YlQ7apG0zQsJvUxhD8UwWK0YDeq5zWIOzYfYzSsFQof5HUDHHYV1nJLG0QhhBBCCCGEEEIIIcQ3zFFtg3jLLbfw2GOP8cQTT7Bz505uvvlmqqqquPbaawHVnvDyyy/f73GPP/44kyZNYsSIEfvt+8Mf/sC7775LWVkZmzZt4qqrrmLTpk2xYwohxOfx2mu9FRlWrVpFKCRfCgkhhBBCfCbxqWBLUutt5X33FR2nluXL1HLImWq5ayEMPUut+zoBDWrWwqBT1LYtz8OoOWp96/Mw6iK1vvk51QrRHA/1m2HXW/vPp2o1PHkqeJogcyScerfa7u+CtmjgKi5NLS2JvY8zWiDaKhCDGdzRatGJWRD0QdNOdT9rBBajqgTt0zQwGOmfroJJZc0eugKqvWJ8JKL+MB9/JUFNVeWKBJOpaO2OhbUc5lQ0c6c6bFwWDd5KNZVQNu2+djoC6nF+bwY7WnYAkGxU4ap2T28VrSFZ6jrKWjz4gr0hLoAJWRMAWNegWjJajBYGJKnKZrvadlGYWAioUFZeQp66fEsbWkiFtWq6akg0qR9JucPqObFbjEQCKvBW6VJz1tinKhmQYFaVrSNab4CvJ6x18KgWOKQNohBCCCGEEEIIIYQQ4hvqqIa15syZw9y5c7nzzjsZM2YMy5YtY+HChRQWqg+B6+vrqaqq6vOYzs5OXnrppYNW1ero6ODHP/4xQ4cOZdasWdTW1rJs2TImTpx4xK9HCPHtous6FRUV3Hvvvfz73/+Obd+2bRs33ngja9euJRiUL4eEEEIIIQ5bqgoQxcJQPQqPBYMJ2stVVatBs1QQqqUk2v4Q2PtBb6jLqII67FkEA05W6+XLoN/xgAaVH4GvAyZHf7Tzzq+gu02t6zqseQTmnalaFmaPgctfA2tC9DhLQY9AUoGq0gUqiBWIVqMy21UlLwCTDVyqihSOXKheA5EgJGRBUiFxZlVJq9uggcnGoEwVltrb3IU7ejx7JAJJhZA/iYZuFXKKBJMoaXTT2K2qdqVa09FMqvJUelw6rYFadc5gOns6VAvESCCFLq+J0o5SAHLiVNCqrsMbe5qzHDYyEq2EIzofV7T1eQlGp6tWlLvadhGOqCBXoUP9bV7jriErIQtQbRCz4tW6ZurEggpr1XfVY0dVF+uKhrWMBgORQG+YCyASrUrW00nSblTPu2b0xebSE+eKHKwiGuCwR8NaPnk/LoQQQgghhBBCCCGE+GYxHe0JXHfddVx33XUH3Ddv3rz9tjmdzkO2ILvvvvu47777vqzpCSG+I4LBIFVVVVRUVFBeXs6ePXsoKSmhtbV1v7FWg8727du59dZbsdlsDBo0iAEDBtCvX7/YLTEx8QBnEUIIIYT4jksphtr1vW0Ge9gcUDAFKpZDyTsw5TrVCrH0PeioUuGnrgbIHKHGlC2BnLGqJWLVKig8DipXwN4PYcAM2PM+rHsCTvw1bHtZhcCePA3GfE9V66pWrf4Ydg6c81Bvi0OADf9VyyFnQuue6Lz7qfAXgM3Z28bREg+uaHDKkQO731Hr/U8ATSPRrN4Tug0GsCWR47SRFGemozvIniZ1PIuOCpxpWiycpYecbK/rjN3PTsiMhbVSbalsDahAVsCXQnmnqlIWCaQT0bpo87WhoTE8bQDvU0V5S2/FKk3TmD4onRfW1/DBziamDext81iQWIDNaMMX9lHTVUOho5CceNXWsMHTwIg0Vdm62dtMRpwKZWlmF05LMc1AvaceY2gaAN2RVoLhILquEwkmA1DtrkbXdYLhiLpuo/rtmNVoB8BoDPSZp3oiOChnNKzV0S1hLSGEEEIIIYQQQgghxDfLUQ9rCSHEVykSidDa2kpFRQVlZWWUlpZSWlpKVVUV4XB4v/Fmg87wlCAzcv3cs1l92fbHSZ0sqraxptGCy+djy5YtbNmypc/j0tPTGTBgAAMHDowFuXJycjCbzV/JdQohhBBCfC0lF6lle8X++wafroJYO99QYa1h56iw1s43YNhsWPsf6GpU1ayad8GxP1NhrU3PwNQbVVhr/VNw2t9UWGvDf2H6bXDJfHh6tnrMov9T5zLZ4eQ7YNI1vSWeQIW9dr8NaKqN4kf3q+0Zw6BLtSQkPj3akhEVMotV1sqBPR+o9Wi1r6Ro28cOowESM9E0jZG5TpaXtrCrUR3DiA5ZKgjV6lU/FNBDiWytbafJqs5Z5MzFYFShq1R7Kq5ACwA+byJ7O9RzaY5k4reo7VnxWYzMyQCq2Frb2edpPnVEFi+sr+G1TbXcfvoQrCajmofBSL4jn9L2Uqrd1RQ6CnFanQC4A24cFtWusCvQFbsuzdhNbmIWzQFo8bZg7bKjayYwhGjobiAQiqAH1djG7kb8oQiRaADLZomeV7Opl8TU22Zc76mo1bdjYh/Jcep9dae0QRRCCCGEEEIIIYQQQnzDSFhLCPGtoOs6XV1ddHR00N7eTltbW2zZ3NxMS0sLzc3N1NXV4ff7D3gMu1EnLyFMbnyYgoQwBYlhChNCdIUM+PfJcUV0jdML/Xx/oJcGr4EKt4lKt5Faj5HaLiOtfgPNzc00NzezatWq2OMMBgMZGRlkZmaSnp5OWloaaWlpJCcn97k5HA5MJvnnWQghhBDfQj1hrbby/fcNOxvevV1VyuqshSGnwxsmaNoO025WYa3SRTDoFNjxGvhcYLRC4zbVRjAuDVw1EPRA2mDVQnH1v+GEX8K1H8HHj0LLbkgbBOOuAGdu3/M37YIXr1LrE3+kqoDtXazuF06F6rVq3Zmn2ieCOn9Pq8SeuYCqrAWkGiwANBuNao7A2IJklpe2sLvR1XvuRFXBqs2nWhPqoQS21tVDoQoiDU7LRYuGtZKsSbT5VSgrEnJQ3r5DbTdn0W1Wj89PzGdMQRIApU1dtHsCJMeruUwflE6200Z9p483Ntdzwfi82DRy43MpbS+lrksF0GJtHEPdfdadFhXi0gxehmXksKkGWn2t6G1eIo5kjNZm6rrq8ATiiIRUyKu5uxmPvzeQFWdWYS1D9GMJs7H3DfchCmrFJMep62nzBD5lpBBCCCGEEEIIIYQQQny9SBpACPG11d3dTWtra5/wVUdHB52dnXR0dPRZ7+zsJBQKffpBAYOmk2GPUJAQJj8hTFFimILEEClWvU9hBYBmr4GbP3L22far1er+fcd2kpcQIS8hwHHZvfs9QY3qLiNVXUYq3Uaqu1SQyx+O0NDQQENDw6fO0eFwkJSUhNPpJCkpab/1lJQUkpOTSUlJwel0YjAYDuvahRBCCCGOqpT+atl+gLCWMw8KpkLVStj6Ahx3E/SbDns/gPZKcOSpMFbaIDV+x2sw9EzY9hJs/J8KWC25C1bcB9N/AS9drSpjjfkeJOWrlogHU7senrkQvG2QMw5O/gOULVbnsySqeWx4Wo1NHaCqfQEYVOCI+Ayo26DW04dAgmovmOlW4akmkxndmogGTCxKAWB7rRvSIQJgUUGoTn9Pta14POE24oEUWwpFaQ4wdgPgsCTR7msHQA/FU9tVD0BuYg4N7p2AqqyVlmBlSFYiuxrcvL+zkQuPyQfAZDRw+ZQi7n5nFw98WMo5Y3IwRVsSptpTgd4KX0ZNXZ+u65g09fFBWA9j0qwAaIYgkwrzebZGzb2t1YM1zgnWZhq7G2nvzkMPqxaTHf4OXD71fj3eYoydMxJR57DsU4D2MAprkRINn7V3B9B1vbd1ohBCCCGEEEIIIYQQQnzNSVhLCHFUhMNhOjo6aGxspKmpiYaGBurq6qivr6exsZHm5mY8Hs9nPq7NqOOwRHBa1DLJopNsjZBsi5BijZBhj5Bqi2A6gtmmeLPOkOQQQ5L3beUCnQGNJq+BVp+Bdr+BNp+BjoABV0CjM2CgM6DhCWroaLhcLlwu1yHO0stsNpOWlkZGRgbZ2dnk5OSQlZVFZmYmmZmZpKamYrVaj9TlCiGEEEIcvtQBatlRDUEfmG1994+eo8Jam55VbQ6HnqXCWrvehOHnwKoHVHWsxGxw16tgFMC2F+EnK2H1Q9C0AwLdUDBFVel69Sdw2atgPMifvzteg5evgZAXssfApS+BwQTv36H2j70UTFaoWafuZ4+BVQ+pdS36ptKZC/Wb1Xru+Nihsxp3oOk6fk2jzddGqj2V8YXJmI0aLV1h4tMhpGkQUe8b3UE3APlJKZQFu9RTZk8ly2lFM3oB8HSb6A6p4BYRO+1+FQgbkJLNhqaPAUizpwGq5eGuBjevb66LhbUALp9SyGPLy6ho7ebpVZX88Lh+ACTbkgHoDKjQWFhX1a40TUPfp97Vthr1Pt1gCDMuV1UF84f9RPQQFpKIoAJfLe509LAKorn8rljLQqe9N5kVihbUspp7w1Y9ZzpUAKsnrBUM67i8IZxx0m5cCCGEEEIIIYQQQgjxzSBhLSHEFxYOh3G73bGAkcvlorOzE7fbTWdnZ59t+1bHikQin3rsfcNXTkuERIuOw6yWiWadREuERLMak2jWsRi/ggv+HDQNkqw6SdYwED7ouHAEukIa7oCGK2DAHdTULbruioa7XNFwlztoIBgMUl9fT319PZs3bz7gcePj42NtFp1OJw6HA6fTSWJiYux+z63nvsViOULPhhBCCCG+s+LTwOYEXye07oGsEX33Dz8X3v6lamFYuwGGnAFv3gx1G+GEX6uw1u73YMJVar3iI8gZq/ZvehaO/wW891sVtLpkPvzvfKhYDq/fAGf/C4z7BHqCXvjgj7D6QXV/wMlw4Twwx8ObP4OGLWBPhuNuVu0NuxrAZIfMYariFoAefT/ryIXmErWeMTR2CnPp+2SawjSYTFS7q0m1p2K3GBlfmMzaGlVt1a9pEFDhp+6gCmENSk+lvK0RUJW1/GEvmqYiTJVt3tjx9bCV7pAK+I/KzuGFUnWcZKsKXZ03No/7PyiNtl10MygzUb0MVhO3zBrEb17Zxj3vlTBzWCb5KXHEm1UVLE9QHccX8gFgM9oIhlXQymKw8N6OZrXdbCDeGtf7nBoC5CSmURNRYa2adi9E1I8GPCEPLW51vNSE3h8SBMOR2LFi1xUtrWU8RLEsm9lIgtVElz9Eq8cvYS0hhBBCCCGEEEIIIcQ3hoS1hBAHFQqFaGlpibXua2lpobW1lba2Ntra2mKtCF0uV+wLlc9CQyfJqpNmU9WuMuxh0u2R2P1kawT7d+xfKaOBaDBNJ9oU55BCEejwG2jza7T4DDR7jbHqXS0+tQxGNDweDx6Ph5qamsOeS1xcXKztYlJSEqmpqbFbTxWvzMxM7Hb7F7hiIYQQQnynaBqkD4Xq1aoC1ifDWjYnDD0btj4Pm/4HZ94H+ROheg20lavKXK17VNtBNChfAqf9XYW11vwbrv8YNj+nwlXL/gHn/BteuAI2z4fG7TDxxxCfDvWbYP1T4K5T5518Pcy8U1W4euUadX7NALMfgsRMWHGvGjdghpoHQFwqeFU7Qpx5UPmRWk8dqJYdVVC/ibzsTBpMJmq6ahiTMQaA4wels6Z6DwBeTQNvBwCBcACAoZmpvLdHBbecFidd0Spbum6krDla1QoDYCCMeszY/CwwBKL7VMWygtQ4Th2exdvbGrj3vd38+7Leql+XTCjgtY11rK1o44ZnN7DgmilYjSpE5Q/7AXAHVKWvBEtCbA5WYxxrS1uI6wfxVnOsPaJ6ecMMTMukpgnafJ3UdXrRo/sjeoSmLnVNaQm9PwoIREtrxVt6jxOJ/m3xaa0NUxMs0bBWgP7phxwqhBBCCCGEEEIIIYQQXxvfsRiEEOJwrFixgocffpjq6urP9Di7USfBEiHBrJNg0tXSHL0fvTksERw9VbLMOsYj2I7wy3bWWWcxZ84cFixYwJtvvkmHXyP9KOeUTAZIs0dIs8MgwkCwz35dh+6QRuc+1bi6ghpdQUN0eeD7Ohrd3d10d3dTV1d3yDnY7XbOPfdcrrnmmk/9Qk0IIYQQgqyRKqxVtwlGXbT//jHfU2GpbS/BKXfBkDNVWKvkLRh1MSz+E+xZBANnQem7qqJV9hgVwFryZzjvEXj0JDUmYwhc/Ixqc9iwRVXY2pcjD864BwafCp018PzlULseNCOc8xAMOV2Fs9bPU+OP+WHfdogdVWrdma9aOwIkRdsNlrwNQIE1hXV4qHb1vrc+fmA6f3tPBap8BgPB7hbMQDCi3ssNyUpGM6oqVAnmhFjFLSIWSppUQMxkMIPW23Y7x+EgzhohCNS29b4nvOnkQby3o5F3tjewbHczxw9SqSaDQeOei0Zz1gMr2FzTyfXPbOCECapMbU8VLVdAVe1yWByx1ohenxk9WinWZjKjaRpGzUhYD2MyRRiTm8XiJqh3t6PrkJoQF42TQU27CnxlOXvfRPvD0bCWtbcyVrTYFoZPC2vFW6hs7abF7T/kOCGEEEIIIYQQQgghhPg6kbCWEGI/8+bNO2BQy2GJMNAZYoAzRLot2pIwGrpKMOuYvkHBq89jzpw5FBQUMGfOHN544w1afAYGHqKl4deBpkG8WSferJMT/+mVugAiOnhDGq6AFmu92BHQqHCZKO00Uevp22vS6/Xy7LPPctZZZ5Gbm3skLkMIIYQQ3ya54+HjR6Fm7YH395uu2gq6amH3OzD0TFj0O6hYAaf8GRb/WbU2PPffKqy16RnVvnD+HNj4Pxhylmp5+PKPYOW/wGiBG9fBuiegfBkEuiC5CAafrtoumqyqteKr10J3K9iS1PGKT1SVs56/DEI+KJoGxSfB2kfVPAunwo5X1bozD3wdat2Ro5Z73lfD0oZB68eUu8pjlzgs20FqnJOADmjQ2d1CGqr6FEBhSjwmowpMBUNmfGEV3NIjZkoaOiEFzEYTibbe92WappFkt9Acht2NXbHtg7MSuXxKIU9+VMGvXtrC2zcdj9OuglH5KXH859LxXP7EWj7Y1cReXyXYQUdVtmrztQGQbEum1dsKQFe3HbNJhcTsJhW66qmEdVxxBsl2VY2rpUtVABuek8jG6FwaOtV15Dhtsfn5QiEwQaK1tzViONou3WQ4dFgrPdEaPZeEtYQQQgghhBBCCCGEEN8c3/JohRDi8zj//PMPuN0VMLC+2cKCPXH8d3ccz+2x89JeO29U2FhUbeXjJjPlLiOeoMbn6Ir4tbdgwQKqqqpYsGABmqaRZju88NM3QSAMdR4DW1pNLK618GallVfKbTy/x84zpXb+WxLHkjrrfkGtHqeddhpZWVlf8ayFEEII8Y1UOFUtazeAz7X/foMBRs1R65ufg5T+kDkS9LBqd1h8ktrXsB1yxkHIC+VLYdJP1PaXf6yqd836k7q//B547QYYfQn8YCFcswwuehpGX6yqab38Y3j2QhXUyhoJ1yxVQa2GrfD4LLWMS4VzHlbhrb0fqOMOmAktpWrdnqKWRqsKe+k61HwMQL88db3lnb1hLYNBY/qgDKwR9d6qp2pVT5VSgwFSEtSf667u3vaI6Caq271qVdcZnZ8cO2ZEj5CWEAfAjoa2Pm3Kb501mMLUOOo6ffzu1W199k3qn8q8H0wkKc5MbYc69paadpaUNNHqVWEtM4k8t2GbOm/IwYUT0tRlm+w0u73o0fbdcyYUYjKo34S1elQ1sMn9U2LnqmpXYa2C1LjYtkBQhdKc9t6wVjCs5mcyHjqslRKv2im2dwcPOU4IIYQQQgghhBBCCCG+TqSylhBiP6eddhqnnnoqtbW1lJSUUFZWRmVlJdXV1TQ0NOD1eukMGOgMGCg/yDHsRp1UW4QUW4RUWwSnJYIz2v7QYenbHvGbUpHrzTff5I033kDTNHRdJ8n69U6kRaItEHtaG/a0QexZtvsMtPoNtPrUa/lpjEYjmZmZ5OTkUFhYSFFREYMGDaK4uBiLxfIVXJEQQgghvhWSCyGlGNr2quDT8HP3HzP6Ylhxr2pl2NUMw8+Bxq2w5XmYfJ163Mb/wuyHYMH3VLWrHy9RYa7q1fDU2XD5q6rC1ls/VxW4/vk+FB0H6YMh5FchrLoN0RNqMPknMOP3EAnBov+DVQ+q9cQcuPRF1d5w8V0QDkDWKNBQFbesDjBF3wslZKrSpu5GFezSDBTlHweb76fSVYmu67FA1vED01m7zoTfGKYt7KMYMGoqvBWKhEhJMNIZgNauUKzilslgRI+o921hPczEggw216pT+0I+8pOS2dkJbV432+tcjMh1AhBvNXHfnDFc+O9VvL65juMHpXPB+LzY0z2lOJWFP53GNa9togKo6/Bz5ZMfE9+/GoMVbn+hAlNiGZYUGJNTyMQB8bzWoNojPrysJHacacU5fFC9E4AOrwpQTSp28HCF2l/WpMJa/dLi1TVEdPzhEEYg2d5bbSsY7YNo/pSe6UlxPWGtwCHHCSGEEEIIIYQQQgghxNeJhLWEEAekaRp5eXnk5eUxY8aM2HZd13G5XDQ2NtLU1BRbNjQ00NjYSENDA21tbXjDGjUeIzUHqcS0L5tRJ9EcIc6sE29SAa742HpvqCvBrNouOixqn3boH9p/6XoqEOhHoWyYP6wqm/W0JuwKGmIhLE/0viek1nuWXUENncN/kux2O1lZWWRnZ5OZmRm7ZWRkkJGRQVpaGkbjp7+eQgghhBCfauiZ8NH9sPXFA4e10gerqll1G2DbSzDyQvjwj6oV4tn/UtW22sqgvQwGnqLCWG/eBHOegf+dB43b4PFT4NyH4cdL4d3boWyJqsBVvnSfE2kwcBac8CvIGavaGr77G9WCEWDoWXDGfZCQDo074KO5avu0W1RLRYD8ieBuUOuJ0UqjHZVq6cglL7kYk2bCG/LS2N1IVrwaM6U4lYTVRjot0BBRrbVtRhVYCoQDJMdZKA9AS1dvEMlqMoBuio2ZXJzGI1UWNGOArkAXGXGp6qqMXby0oSYW1gIYV5DMzScP5B/v7eb/XtvG+MLkWGgKICfJzsUTc/nrWihMScTVZcNlVO0U9XA8zkQPXuCcESPo9KtKYCYtjmfW7sbSHzQ07GY7oYhqkahHjIzIdZDh0KLXZqfZE8SgwcCMREC1L9SjbcVT4vZpjRhUYS2b+dDvPRNt6rno8oUOOU4IIYQQQgghhBBCCCG+TiSsJYT4TDRNw+l04nQ6GTRo0AHH+Hw+GhoaaG5upqmpiebmZtra2mhra6O9vZ329nZcLhdutxtd1/GFNXxhI/gOfx5GTSfRrJNkjZBsjZBk1UmxqipePbc0W+RrX7VL16EjoNHqM9DiU1Wu2nwG2v0GOvwG2qOVsPzhz59Ms9vtOBwOkpKSSE5OJiUlheTkZNLS0mJBrKysLBwOR6zSgxBCCCHEETXqYhXWKnlbtSJ05u0/ZvQlKqy16X8w+Vrod7wKSG38Hxx3C7x+A6y4D654E6pWq7aDS+9W9xdcCpUr1HL09+C8R1XLxfKl4KoDo1kFvvodr6phVX4ET54GVavUuZMK4LS/weDT1P3mEnjmAlVJa8DJMOwceDTajnHgLOioUus91xELb2VjNpjJS8yjwlVBhasiFtbKdNjI1KEW2B1QgaU4s2oP6Al5SEuwQwc0d3VjNKjQktmko+uqmpSOzqBsK0TiwRhga0MdmXGZABjMHby4roZbZg4i0WaOPaU/OWEAK/a0sLqsjZ/O38hLP5mKZZ83zMGwqoY1riCNP11yAmP/60UH3v/Z6fzyo3fY1QY5CTlsad4CQEltmIDejQWIN8dj0Ax0BTxqfrqZiycU4A66AbAa1LX1T0/AblHXU9PeDVpPFa3ejye8QRW+irMcOqwVb1GP6Y4+f0IIIYQQQgghhBBCCPFNIGEtIcSXzmazUVRURFFR0SHHhcNhurq6cLlcsfCW2+2OrfcsOzs7cblcdHZ20tnZSVdXF2FdoyOg0REwUOE+8PE1dFKsOhlxYTLtEbLiwmTFRciOV/e/qiCXrkObX6O+20i9x0hjt4FGr4HGbiPNPgPByOEFpCwWC0lJSbGwXGJiYmzpcDhwOBwkJCT0ue9wOKRFoRBCCCG+fjKHQdE0qFiuAldn3LP/mJEXwHu/ibYr3AQTrlZhrfVPwo0bVdirtRQ2PKUqaD33fVj3OJjtcOnLsPhPsPJfsPlZVTFr5AUw6FR1Xs0ArhrY8DTseE1V4gIw2eHYn8FxN6njBH3w8aOq/WHQA2mD4dxHVDisbgMYzDDifHj/DvX41AFq2d2ilvFpABQ5ilRYq7OCydmTY5c4QO9mA7ArqCq3JpgTAOgKdJGVqKpPeUM+vH71xtVgCEPEgq4b0LQI/rCHeFMy3bSzsqKMmUMLAbDHt9BeF+K/qyu57oQBsfMZDRpz54zl1PuXsbW2k7+9s4vfnjkstt8XVr+esJlsuAIudNS8CpLSqffUA5ATn8OyGlVVrLJZw2TyAuC0qipeqytUVTKrIZ7zx+WxsXkNAFpEVfEaX5AcO191mxeIROfWG8zq8qvwVYL10B9Z9ATN/KHIIccJIYQQQgghhBBCCCHE14mEtYQQR43RaIwFjz6LQCBAR0cH7e3ttLa20tLSQktLS6ySV2NjI42Njfj9flr9Gq1+Azvb+x7DoOmk2yLkxIfJiY9QkBCmnyNEdlykT3vFFGuE+47txB+GX61W8/zr5E6sRrXvk9wBjb0uI5VuE7UeA3UeI/XdxkNWxjIYDKSnp8daDqanp5Oenk5aWhqpqamxSlh2u10qXwkhhBDi22P6L1VYa92TMO5yyB7dd39cimpDuO0lWPcEnHEvJBdBewVsfBpOu1u1PFzzHxh8Opz+d1h4K6x6QI2Z/YB6/Du/gtr1Kpi14ekDz8VkgzHfg2m3gjMXXPUqDLbuCehqVGOKpsGF88DmUMcE9Zj4NBUmA8gaoZY+1SYQWxIAhQ4Voqp0Vfaes6uJgb42SEhhT7SSVE/gqcPfgdOmglsY/NS1q/CSP9JNotVMJByHZuqi3d9Odnw2e7vL2FRfzk+mHg+Abm4ELchDi/dy/rg8Mh29LQaznDb+dv4ofvzf9Ty2opxjilI4dYSq9tUd6gbAbrLT4e8AVIAsEA7EWh9mxWdR61JhND0cx2mjHSzuUHN3+YKsLK+CRBiXl4vdYqTV16qO7VNzmDogNTaXsuauWGUto9Yb1uroVq0fHfbeqmAHYoi+NT4abcqFEEIIIYQQQgghhBDi85KwlhDiG8discTa9x2Mruu0t7dTX19PbW0tNTU11NTUUF1dTVVVFV6vl0avkUavkY0tvY9LtUaYmu1nRm6ANHsEowHS7RF8+3RWSbNHsO3TkcUfhlUNFhbXWilzGdHZP1BlNBrJyckhPz+fvLw88vPzyc3NJScnh4yMDEwm+edYCCGEEN8x/abBsNmqstVLP4Kr31dBqH0dc5UKa219AU6+Q4WpXr8Blt8DN26AcVeoylov/kA9/px/wxs/hV1vQu0GOPNeuPoDqFgB219WFbE6a0GPQEKGClcVnwRDz1bBqrLF8M4vYddC0KNvAB15cMKvYMz3QdPg7dugfpMaf+KvVcvDxq1qbMEUtfR2qKU9SW12FABQ7a7uvbYdr5EXUiGttrAKNKXaVZCpxdtCii0FAM3YTX2rqiDlDXkZV5TAx4FEMHXR1N3EyIz+7K34iEpXJem2bFJsKbT52hhc0ElJpZlfvLiFeVdOwGDofY86a3gWVx3Xj8dXlHPL85vISZrMqLwkXH6XumSLA3fAHVtv6m4CIM4URzBoYW1VNZihwJnGCUMTWLwKkqxJ3Pvebnx6B2ZgenExQOyxHk8CRoPGCYN638Pvae5CO0BYq82jwlop8YcOa0lGSwghhBBCCCGEEEII8U0k6QAhxLeSpmmkpKSQkpLC8OHD++zTdZ3W1lYqKyupqqqioqKC0tJSdu/eTas/wBsVdt6ssDEkOcTkzABTsgIYPpG/iuiwvc3ER/UW1jVb8O1TOaugoIDBgwfTr18/CgsLKSwsJCcnRwJZQgghhBCfdPo9UL0WWkrg+cvhewvAZO3dXzgVMkeqMNS6x+HYm2H1w9C0Hd79taq2Vb8J6jfDU2fDFa/DD99R4a+2vTD/Yiieoap4nXEvHKhKafNuVZ1r87PQUdW7PX8yTPyRCpQZzRCJwKL/g7WPqP2zH4DELNXGESBvogqAQW8bxDgVuOoJa8Uqa+k6bHiKvGhFrbCxBY8/SJpdtU1s8bZQnKTCTgZjF+VNEcwGM8FIkOH5BtbuSgJbPfVd9UzIHcqrFRAxN/BxRTvHZB7De5XvcezIVipqM1i2u5l/vFfCbacO6XPZvzptCCUNblbsaeGyx9fy2BXHxKpnOa3OWFgrwZJAi1ddT5I1lTmPrMIb58Johp+dNIaOYI26hpCdp1ZVYCtQga+shHSAWPvESMjJcQPScMb1BrB21bshYf82iI0uPwAZib0VwQ4kGFaPtXxV/c2FEEIIIYQQQgghhBDiSyDJASHEd46maaSlpZGWlsb48eNj2/1+P6tXr+aVV15hw4YN7Gw3s7PdzPN77Fw2uDs2rrnbwCM74yl39f4Tmp2dzTnnnMPMmTNJS0v7Sq9HCCEAHnroIf7+979TX1/P8OHDmTt3LtOmTTvg2JdffpmHH36YTZs24ff7GT58OHfccQennHLKVzxrIcR3XkI6XPwszDtDVbV66Wq44EkwRt9naRoc+zN4+WpY9RBMuhbOvA+eOAU2z4cBJ8P3X4QnT4PWPfDYTLj4Gbh2BSy9G1Y9CHs/ULe0waqalyMHwkHVKrFqNbSX987H5oRRF8P4KyFzWO/27jZ47QYoeUvdP+1vqsWit0OdA2D8Fb3jXSqgRGI2APmJ+QDUdtUSjoQxVqyAhq3kmuyga2iGIBvrKsmKV+0I6z31ZMZlqqfA3ElJYxcZORnUdtVSkBEkskVV4KpwVXL+wPMAMFrreG97PSeMPIH3Kt9jY+ty/nr+Rdy8YDMPLdlLYWoccyYUxKZoNhp4+NJxXPHEWjZUdXDJI6vJG67Camn2NLqCXeolMidQ2aGqY9W2GOhq7MIx0IcO9EtOZ0nNdgC2VAbQdUiI68IHZMera6/sVNXEIoEUvjep9/xd/hDlrR7siSpwZdLUa+4PhWnpUmGtnCT7wf/bAbxBVf3MbjYecpwQQgghhBBCCCGEEEJ8ncjPT4UQIspqtTJ9+nTmzp3L888/z09+8hPy8/PxhAz8e3sC5/bzcvtYF39en0i5y0RcXBznnnsuDz74IPPnz+eSSy6RoJYQ4qhYsGABN910E7/5zW/YuHEj06ZN47TTTqOqquqA45ctW8bMmTNZuHAh69ev58QTT+Sss85i48aNX/HMhRACyB2nAlZGC+x8XbUZ3Le/3fBzIaUYvG0qGFUwCY6/Ve177QZVDevKhZA1SlW0mneGqsI14/dww1oYeymYbKp618ePwQd3wpK7VNirvRwMZhgwE857FH5eAqf/rTeo5XPB6n/DA8eooJbRAuc8DJOuUXN88ybwNEPqQBg1p3fObXvVMrkIgKy4LEyaiWAkqNoCfnQ/AOax38cUUdW4tjTuJjc+F4Bady05CTkAaCYXu5vayYlX9y22NoxhFeTa2lRCkbMIq8GOZgzw9u6NHJdzPGaDmT0dexiU38mNJw0A4NevbGPp7uY+T32izcx/r5rE2aNzCEV0mr0NAPz+pRrufX8LANuq/fzq1TWAqp41sSgFuy0IgMPqiLVO7PCYSU80EdQ6gN6w1o4W9Vyk23I4aUhvC8RNVR3oOpiN6rU2GVRYq6pV/UgiwWoiOe7QbRA7uqPzsB96nBBCCCGEEEIIIYQQQnydSFhLCCEOICsri0suuYSnnnqKiy66CIBXyu3ctdFBV8jAoEGD+O9//8vNN9/MyJEjMRjkn1MhxNFz7733ctVVV3H11VczdOhQ5s6dS35+Pg8//PABx8+dO5fbbruNCRMmMHDgQP7yl78wcOBA3njjja945kIIEVV8Epz/OKCpoNWGp3v3GU0w43dqfcVcaK+EE26HgbMg5IX/nQ/uOtX+cMT5EAnBe7+FZ84HcxzMflCFsC54UlXpGnOpqpx14m/gkgVwWxlc+iKMukiFunraIj5zEfxjILzzS+huhfShcNV7MOZ7ai4f/AG2vwIGE5zzkGqVCODrVHMESFetB40GY6xqVl3NKlXpSzPAlOtJNOQBsKdjD/kOVYGr2l1NkiWJOFMcmqYT1FpItapx1V2VDEkZBEBpRwlGzciYjNEAdOol7KwNMrNwJgDP7HyGW2YO4ryxuYQjOjc8u4HyFk+fpz7eauKfl4zlP1eMwmBWwav61jjKWtsA8PhMYPABMC4/m2eunkB3SB0jwZzAriZVdUsP2/j1WTmE9TBmg5k0exq1HW5cQbX/x1MmYzb2vmdeW94KgNXSN6y1t1kduygtDu1AbSv30d4dACDpU0JdQgghhBBCCCGEEEII8XVy2OmCcePG0d7eDsDYsWMZN27cQW9CCPFtYTKZuOGGG7jyyitj2wYNGsS//vUv0tPTj97EhBAiKhAIsH79embNmtVn+6xZs1i5cuVhHSMSieB2u0lJSTnoGL/fj8vl6nMTQogv1bCzYcb/qfW3fwkte/bZdw4UHqfCWW/8FNBU+CpvIvg64KmzoeZjFfg6414Vutr7ITw0Bba9rNobjjgPZt4J5zwIZ90P02+DwaeCzaFaIn74Z/jnWHhwgqruVfouhHyQNkgd89rlkDNWzWfp32HFfWr9zPsgf2LvXCtXAjok94P43qqruQmqalbdjpfUhsGnQ0p/ks3RgJannJz4HCwGC4FIgHpPPf2d/QEwWBuw6urxu9t3M71oNLpuoDvcSZ2njmNzpwJgStjNs2uruGzYZQC8Vf4Wla5K7jp/JMcUJuP2hbj2v+vxBsL7Pf05aR0AJFmTeeYHMzh9TDIAJw0q5NoTVFBscEYa3khve/Dq1ggbalTLx+kDCsjPUO0Ls+OzMWgG/m/hEtB0NN3OZRNG9DnfstIWACwmFdYyG1TgqqTBDcCgzMT95vhJ9Z0qRJblsH3qWCGEEEIIIYQQQgghhPi6OOyw1uzZs7FarQCcc845zJ49+6A3IYT4tjnvvPNi6yeeeCJ2u/0ozkaIz+att97iscceO9rTEEdIS0sL4XCYzMzMPtszMzNpaGg4rGPcc889eDyeWCXBA7nrrrtwOp2xW35+/heatxBCHNCxN0G/6SqU9dYtve0QNQ3O/ieY7FC2BFbcC9YEuPQlKJoGfpeqsPXxY3DMD+HHSyFrpGqd+OIP4JkLoW5T33P5XLB5ATx1Ftw/Gpb9TbVFNFqg/wlw8h3wk5Vw/VqYcFVv5aw1/4HFf1Lrs/4E4y7ve9wdr6vlgJP7bO5pa1hTv05tGH8lAFn2IgCafOUYDUb6OfsBUNpRyqBoBS2DrZ5Qt2oruK1lG8cWZxPxqeOta1jPtNxpABjj9vLOjnKSjP2ZnjediB7hr2v/isVo4KHvjyMtwUpJo5s739yx31O/oWkDACPTRjB1QBq50fzugPRUNINqN2g32fEEVOUrk2bimqc3E9G8AJw3pj/1HhXcyo7P5t3tDSwt3wZAsbM/pn2qajW7/Wyu6VDH+UQbxG11nQAMy3bsN8dPqm1X585JkvfmQgghhBBCCCGEEEKIbw7T4Q78/e9/f8D1L+qhhx7i73//O/X19QwfPpy5c+cybdq0A45dsmQJJ5544n7bd+7cyZAhQ2L3X3rpJX73u9+xd+9eiouL+fOf/8y55577pc1ZCPHdk5SUFFu32eSX++Kb5e677wZg2rRpDB48+CjPRhwpn2wVpev6p7aPApg/fz533HEHr732GhkZGQcdd/vtt3PLLbfE7rtcLglsCSG+fAaDqnr14CQoXwolb8OQ09W+1GI4/W/w+o3w4Z9UxathZ6vA1ms3wNbnYeGtULNOVbu6+kNY/g9Yfi/sWaRuyf3AmQfdbdC8C/SeClOaCmiNvRQGnaqCYAeya6Gq+gVwwq9h6o1993c1wfaX1fqovgHYnrBWnR4AezL0V3/b5sUNADd0hKoIRUIMThlMSXsJJe0lDE8dzsulL2O0VdPUmo7JYKLN10ZqkhuDfwDYa3i3bDlnF59FP2c/yjvLIX47//pgILfOvJWVdSv5qO4jXtj9AhcNvoi5c8Zw2RNrmL+2iqnFqZw1Oic2v2U1ywCYkjMFgE6/Ck05LU4aPCr8azfZ6Qp2ARAOWWl0+UnODBICnFYHO1pVCCzJms6vX96Kwd4IwMiMQX2ei7e21KHrMDo/iXY9BIDFaEHXdTZVdwBq36FEIjqVbarKV1Fq/CHHCiGEEEIIIYQQQgghxNfJYVfWOpBAIEBNTQ1VVVV9bodrwYIF3HTTTfzmN79h48aNTJs2jdNOO+1Tj1FSUkJ9fX3sNnDgwNi+VatWMWfOHC677DI2b97MZZddxkUXXcSaNWs+93UKIYQQ31R6T0USoLOz8yjORBwpaWlpGI3G/apoNTU17Vdt65MWLFjAVVddxfPPP8/JJ598yLFWqxWHw9HnJoQQR0RKP5hynVr/8I8QifTuG3c5TLga0OGlq6F8OZiscN4jMPOPoBlhy3Pw+Exw1cCJv4br18CIC8BgVpWzKpZD03YV1EodCNN/BTdtgctfhZEXHDyo1bAVXv6ROvf4K1UbxU9a/BfVOjH3GMib0GdXrA2iyQQDZoLRFN2ehx62ECFIRWcFQ1LUD5F2tOxgVPooAIz2KnbWuRmRqloJbmhax9Akdfx1jauI6BHO6HcGAOakj3l+fTWdriR+OvanAPx17V9Z17CO4wam8ZPpxQD86qUtlDaqloPlneWsbViLhsYJ+ScA0OprVS+HLQVvSFWwsplsrKuqBSActtE/LZ50h3qvEW+Op7FbhbO2VkKrJ0CSsw2A4qTi2POg6zrPr6sBYPboHIIRVbXLqBmpbO2m2e3HbNQYmes88OsQVdXWTSAUwWIykJMkP6YQQgghhBBCCCGEEEJ8c3yusNbu3buZNm0adrudwsJC+vXrR79+/SgqKqJfv36HfZx7772Xq666iquvvpqhQ4cyd+5c8vPzefjhhw/5uIyMDLKysmI3o9EY2zd37lxmzpzJ7bffzpAhQ7j99tuZMWMGc+fO/TyXKoQQQnyjBYPBoz0FcYRZLBbGjx/PokWL+mxftGgRU6dOPejj5s+fz5VXXsmzzz7LGWeccaSnKYQQn82xPwOrE5p2wK43+u479W4YfAaE/TD/Yqj+WLVJPPancMXrEJ8OjdvgkRNh74eqItcFj8Nte+GyV+H8x+F7L8DN2+HGdXDi7ZBUcOj51G9WbRYDXart4un3qHPuq/R9WP+kWp955377s+NVG8M6kxH6HR/bnmizEParClc72nYwMm0kAFtbtjLAOYBEcyKaMUCjv4yx6ZMA+KjuI04fOBU9bMMb6WRT8ybOG3geJs2EKa4CzVrDrS9s5sKB3+fkgpMJRoLc+OGNrGtYxy0zBzGlfyqeQJgfzPuY+g4v92+4H4Dp+dPJT1RVE5u6mwDIiMugO6QqWG2p8nLHW6qNo80Yz4JrptAdVm0REy2JsbBWWb0Ji9FAWooKive0dgRYW97GjnoXVpOBc8fmEo5WNzMajKwqUwGxMflJ2My9f+cfSE+7xKFZiX1aLAohhBBCCCGEEEIIIcTX3ef6RPMHP/gBBoOBN998k/Xr17NhwwY2bNjAxo0b2bBhw2EdIxAIsH79embNmtVn+6xZs1i5cuUhHzt27Fiys7OZMWMGixcv7rNv1apV+x3zlFNOOeQx/X4/Lperz00IIQ7mcNqKCfF1EQ6HP32Q+Ma75ZZbeOyxx3jiiSfYuXMnN998M1VVVVx77bWAamF4+eWXx8bPnz+fyy+/nHvuuYfJkyfT0NBAQ0ODVF8TQnx92JNh0jVqffk9sE+lSIwmuOAJ6DddhaeeOR/qt6h9RcfBNctVZStfhwpYrfmPerzNCcUnqupZg2apdogH4nfD3sWw5hFY9Ht45iJ49CToaoSM4TDnv7GqWDHNu+Glq9T6hKuh6Nj9DptrTwegwWQinN9bdSvBaiLiVXPZ2ryVoalDMRvMtPpaqfPUMTF7IgCmhN2kGUcDsKJ2BccPTCXkHgbAK7vfID0unVP7nQpAYtaHlDZ18bvXtvOX4/7ChKwJdAW7+NGiH/FcybPcf8koClPjqGnv5uxn/o8Pqj7ApJm4YcwNAET0CNWuajXvhFyaPer/Dws3dxLWVDhrXF4eKfEm3AFVncthcVDdqao8RkIObj1lAA3d6hj9nf1j1/uvD/cAcN64PJLjLYQj0bCWZmR5aTMAU4rTDvza7GNjVQcAIz6lApcQQgghhBBCCCGEEEJ83XyusNamTZv4z3/+w2mnncaYMWMYPXp0n9vhaGlpIRwO79eeJzMzc782Pj2ys7N55JFHeOmll3j55ZcZPHgwM2bMYNmyZbExDQ0Nn+mYAHfddRdOpzN2y8/PP6xrEJ/PBx98wB/+8Ad8Pt/RnooQn8u+beWE+Lrr6uqKrUuVrW+vOXPmMHfuXO68807GjBnDsmXLWLhwIYWFhQDU19f3aTP9n//8h1AoxPXXX092dnbs9rOf/exoXYIQQuxv0rVgsquqVmVL+u4z2+CS+ZA/GXyd8N9zoGmX2ufIhivfgtHfAz0Cb98Gr90Age6DnysUgO2vwjMXwt391PHe/gV8NBdK34VICIacCT94SwXJ9uWqh/+dp8JheRPhlL8c8BQZ7iZMuk5I02iy9baSTbSZCftUWGtbyzasRmusutbHDR9zXO5xAJgSdtHWmklmXCbekJeK7g1kGVUo7J2Kd/CGvFwz6hqMmpGIfQfmhN28vKGWZ9c08NCMh5hVOItQJMTdH9/N5e+dx+ixC3EOeABfwjsATEn6Abnxql1hpasSX9iH2WBh/koPG2pU60MTccwcYVfXE5eGO+Amoqs2lQY9jvKOOgDG5hRyymgrwUgQi8FCToKqHLZ0dzMr9rRgNmpcd0Jva0SAUERneWkLACcMTj/4axW1OlqFa2K/lE8dK4QQQgghhBBCCCGEEF8nnyusNWzYMFpaWr6UCXyyQo2u6wetWjN48GB+9KMfMW7cOKZMmcJDDz3EGWecwT/+8Y/PfUxQ1SY6Oztjt+rq6s95NeJw/OEPf+CDDz7g9ddfP9pTEUKIb709e/bE1svKyo7iTMSRdt1111FRUYHf72f9+vUcf3xvi6158+axZMmS2P0lS5ag6/p+t3nz5n31ExdCiIOJT4Vxl6n1j+7ff78lHr7/PGSPge5WeOpMaNqp9pltcM5DMPOPoBlg0//gP9Ng97sQUeEidB2aS+CDP8LcEfDCFVD6HkSCqi3i4DNg4jVw6l/hJyvh4mf2D2qF/PDc96CzGlKKVYDMZD3g5Rhr1pMbCgFQ3VUT2+6wmwh7VRvGXe278IV8TMpW7Q5X1q1ket50QMNor2ZNdTmn9zsdgNf3vs65Q44nEkjBH/GwsGwhRc4iLhlyCQBpRa+B0cNfFu5kQ0UX/5j+D3476bckWZOo7aplce07RMy1aLoFX8NsFq4sZsKf3ueyx9dw65svAuBz5/OfpRVgUpW1/nnhdLLT1I9usuOzafaqSlhOi5ObFmwmrKkqW3edfRzVXSokXOAowKAZ8AXD/P61bQBcPqWI/JQ4oPfv983VHbh9IVLiLYzOSzrgc9ij0eVje52qiD2lf+ohxwohhBBCCCGEEEIIIcTXzWGHtfZtEXj33Xdz2223sWTJElpbWz9XC8G0tDSMRuN+Fa+ampr2q4x1KJMnT6a0tDR2Pysr6zMf02q14nA4+tzEkVdfX3+0pyCEEN96H3zwQWx98eLFUhlOCCHEN8uUG0AzQtliqF2//36bEy57BbJGgqcZnjgFyqOVlzUNjv2p2p+QBa174NmL4B8D4D/T4Z7B8OBEWP4P1eIwIROm/RyuXws3bYVLnoXT/waTfwKZww88vyV/hboNKsR16UsQf4j2fZUfkR9UYa0qd2+1w+Q4C3owGT2USCgSYnvrdqbmTAVgVf0qkmxJDHaOAGBbx1LO6H8WAEtrlnL8UCuB9skAPL51HhE9wo1jb6TQUUhXuJX8IQsI636uf3YD9Z0+5gyZw3sXvMfcE+dy8/ib+dOxf2LxRYu46+Rr6Z8WjzcYZnlpMztdSwAIeQYyusCGwaQqdU4qGBCbe25CLvUe9TddMOBgRVkZmqZj1EwUp2ZR6aoEoNChqjz+84NSKlq7yXRY+dnJA2PXb9DUxxKLSxoBmDk0E6Ph0G3H39uhxo7JTyLDYTvkWCGEEEIIIYQQQgghhPi6OeywVlJSEsnJySQnJzNz5kxWr17NSSedREZGRmx7z5jDYbFYGD9+PIsWLeqzfdGiRUydOvWwL2Djxo1kZ2fH7k+ZMmW/Y7733nuf6ZjiqyGBAfFNM3DgQDRNY+LEiUd7KkIclnXr1vX5f+KePXt44YUXjuKMhBBCiM8ouRBGXaTWl/z1wGPiUuDy11ULQl8nPD0bFv8FwtH2v/1PgOvXwNQbwepUVbj+v737jo+iWv84/tnd9E4gQEJCEgi9N6lSBAEFAVHBAqLYLz8FC4pXBUW9qFdF7KgIVkRFEBEUBEKV3iH0QCihBUgBUvf8/tib1UCCSUgh4ft+vfbF7syZM2ceJrNPss+eid/oKNCyuUGt7nDrZBixFbqOhqA6+Rvb6f2w4j3H8z7vQWBk3m2zMiF2MdVzKdaq6OMGWMg8FwHA+mPraVSpEYEegSSnJ7P26Fr613YUaGV5ryPjfGVaVmlJlsli8dGfaRl4AybLg4Mp+5l3YB5erl680/kdfF19OWPfRcWoyZxJT+DRqRvIyLLj6eJJ1+pdGdpwKH2j+lLRK5BbW4Sy4MlOzH60Aw92z8TmFYeLxZXv73yMl29z3JKwkmcl/N392XPaMWtnVEAUOxNiAUhM8sPN4wwA1XxCsFqsOYq1Nh48w8Qljhk+X+rTED8PV+fx2yw2AKJ3Or50dWPjv36/z8uP6xwzk/Vq9M9tRURERERERERERK40LvltuGjRoiLf+RNPPMHgwYNp2bIlbdu25ZNPPiEuLo6HH34YcNye8PDhw3z55ZcAvPPOO0RERNCgQQPS09P5+uuvmT59OtOnT3f2OXz4cDp27Mjrr79O3759+fnnn/njjz9YtmxZkY9fCi4rK8v5XMVaUta89dZbnDp1irCwsNIeisglGWP47bffeOutty661r7//vukpKQwePBgXF1d8+hBRETkCtJxJGz+3nGLwgMrIDyXL+J4BcKQWfDrU45bHi5+HXbOhVs+cxRfeQZA91fgutFwdAucOwleFaFyfXDzKty4lk9w3DKxRmeod9Ol28YuhtREwr0dMz7vT9z/19DdXPD1cCH1XASufltYfXQ1DzR+gC5hXZi+ezq/7/+dEc1H8NrqN7B5HGHG9pUMqj+ItcfWMm3nNJ5r05snfuuAe9AfvLN2AteFXUdUhSg+uv4jHvnjEZKJxafGBDbF9+P1uf483zv3WcIsFgsBfsnMO/EOAAPq3EbTamF8sW0hAPUC6xGfEk9CagI2iw3XrGA+WbkMPMAlqyqDOvvyzV4I9Q0FcBZrVfOuzpPfbyTLbujTJISeDavm2K+r1ZGPnDmfSkXvINrXvPRtDbcdSWTTwTO4WC3c3LzapeMuIiIiIiIiIiIicgXK98xanTp1olWrVnz//ffceeed3HbbbUycOJEGDRrQqVOnHI/8GjhwIO+88w5jx46ladOmLFmyhDlz5hAe7rhNQnx8PHFxf33jOD09naeeeorGjRtz7bXXsmzZMn799Vf69+/vbNOuXTu+++47Jk+eTOPGjZkyZQrTpk2jdevW+R6XFJ/Dhw87n6ekpJTiSEQKLiAggBo1apT2MEQuacOGDQwbNoxx48aRnp6OqfJXsZY9yg7AlClTGDJkCH/88Qd2u720hioiIpI/FWtC87sdz38bBfas3Nu5ekK/D+CWSY7bEh7d7Ljd4aZpf7VxcYPQFlC7B4S2LHyhVmoibPrO8fzaJ/+5/bopANQMdRSa7T2zN8fq0ApeZJ2NAmDD8Q2kZqbSM7InAPMPzMfT1ZM6vu0drw/9RJewLtSqUIuUjBT2pM2mhuuN2DN9OXz2EJ9v/RyAJkFN+PbGb6ldoTbYzuIZ+g3fHHiBiSsXXzQ8YwyL4hYxaM4gElITqF2hNsObDwdg0UHHF7fahbRj7bG1AFT3qcUdn6znLI6ZtUZ2vh6b+3EAIv0dM4xlF6T9udPK3hNnCfJ1Z2zfiwvFXKz/+w6ZJZO+TavhYrv0nyk++d8MXTc0CqaSj/sl24qIiIiIiIiIiIhcifJdrAUwZswYpkyZQq9evbjjjjuYP38+jzzyyGUN4F//+hf79+8nLS2NdevW0bFjR+e6KVOmEB0d7Xz99NNPs2fPHs6fP8+pU6dYunQpN95440V93nrrrezYsYP09HRiYmJyFHNJ6Vq/fr3z+YYNGzS7lohIEdmyZQsjRoxg+PDhbN26FWxgb2jH3vavYizTyGBvbce4Gw4dOsTYsWO59957iY6OVtGWiIhc2br823ELw/hNsP6LS7dtdCv8a6VjxqvM8zDjQZj3AhTle92WHyHjHATVhYhrL932xE6I+QWAqBYPAnAw+SDnMs45m0RU9MKeXhkfW0XSstJYe2wtraq0oopXFZLSk1gYt5B7Gw0C4JRlFbGnj/Bo00cB+Gr7Vzx0XVXSjvUC4ONNH7P15FZHv/4RTO01lQcbP4gVF1x8dvP+zv/j1pmD+WLbF/wW+xtfbPuCQXMG8diix0hITaBWhVp81O0jvFy92H16N+uOrcNqsdK1eleWHFoCwN64YM6kn8TmcQwLFvrUbceOUzsAqF2hNmczznLk7BEAfl7tuB3lf25uRICX20XhsWZP+G2xM7DVpWew3Xcihdmb4wF4qKO+RCEiIiIiIiIiIiJlU4GKtX766ScmTZrEJ598woQJE/j111+ZOXNmjlvbiVzK0qVLnc9PnjzJnj17SnE0IiJlW1paGvPnz2fYsGEMGzbMURBrBXtNO1k3ZGHqGbDk3MZUN9hvsGNvYMe4GmJjYxk9ejR3330306dPJykpqXQORkRE5FJ8KkOXZx3PF4yFc6cu3d63KgyaAdc+5Xi94l2YNgjSkotmPOu/dPzb/G6wWC7ddt4LgIG6valYvR1BnkEYDLtO73I2qVvVD7DgT2MAFsUtwma1cXOtmwGYtnMaN9RqjUt6FBZLFv9Z8R6dwzpzTdVrSLens+jEp3QL60FGUkOyTBaPLXyMwymOWY3dbG482uxRZvWbRUXTBmOs7EzcyJtr32TkkpG8ufZNNp/cjJvVjaENh/Ltjd9S2asydmPnjTVvANC1elf83f2JPugo1jqfWJe6NR2zYDes1BBfN1+2J2wHoH7F+uw+vRsAq90Pe5Y3fZuGcH39KrmG51y64ws89UO8qFPV95KhHP/HbrLshuvqVqZhNf9Lx11ERERERERERETkClWgYq2DBw9y7bV/fWv4mmuuwcXFhSNHjhT5wKT8SU5OZsOGDTmW/X3mNBER+Wfnzp1j8eLFvPzyy/Tt25eXX36ZLVu2OIq0Iu1k9czCNDfgeYlOXMHUN9hvtGOvZ8e4GOLi4pgwYQL9+vVj1KhRzJkzh1On/uGDcBERkZLU6gGo3ADOn4bFr/9ze6sVur4A/T8Dmxvs/BU+6QJxqy5vHPGbIH6jo8/Gt1+67Y5fYffvYHWBbi8C0KCi41aAm09sdjZrWM0PgJRTdQFYELeALHsWt9S6BReLC+uOrSPmVAydKw8GYHXCb+w9s5dR14zCxeLCooOL6H7NCbwS7yArrTInzp9gyNwhOfYR7h/G3Ds/pm7GOFKP3UBWcgOqeTSka/WuPNXyKX6/9Xceb/E4Hi4e2I2d/675LyvjV+Jh8+DRZo8ycd10UrPOYU+vSMfqzfEL2ghAz4iebEvYRkpGCr5uvtQKqOUs3Eo/F0wlHzfG3HTx7Q8BklMzSE51fPnrxka5F3Nl23o4kV82Of728GT32peOu4iIiIiIiIiIiMgVzKUgjbOysnBzy3nbAhcXFzIzM4t0UFI+/fLLLxedK7/++iuDBg3C0/NSVQUiIlcnYwzHjx9n586dxMTEsGnTJnbs2JHjWmq8DCbCYGr8Q4FWbtzANDSYOgbLAQuWfRYyEzNZsWIFK1asAKBmzZo0bdqU+vXrU7duXapVq4bVWqBabxERkaJhc4Eer8JX/WDNJGj7fxBw6dvmAdD4NgiMhGmDIWE3fN4dwjtARHvHjF0unuDmDX4hULk+uPtcur9Vnzj+rXcTeFfMu11aMswZ6Xje7lGoVAuAJpWbEH0omg3HN3B3g7sBaBFeAYsFDh0JJaSSHwmpCaw6uop2Ie3oHtGdObFzmLRlEg9eM4a5P36Pq982Xlj+Il/f+AX3NryXT7d8yjsbxjGm7yeMmHY/ntU/4xjHGDx3MH1q9uHu+ndTq0ItPN1sfH1PD0b+GMwvm46w4xAE1Ajk2oaNqOTpOO59ift4deWrrD66GoDRbUdzOtGXz7d+Dq5QzdaFf/Vw477523CxunBjjRv5JuYbANoEt8FmtfH7HkdBXNb5UMb1b0yg98W3PwT48s8DZNnBBrSICMwzlMYYxs2NAaBf0xAahGhWLRERERERERERESm7ClSsZYzhnnvuwd3d3bksNTWVhx9+GG9vb+eyn376qehGKOVCdHQ0kyZNyrHM7ubNqVOnGDNmDC+88AK+vpe+5YWISHl1/vx5jhw5wsGDBzl06BCHDh3iwIEDHDhwgJSUlIvaGx+DCTY6X/N5AABhWElEQVSYUAMVuehWhwDYgfPA32tkz+J45/ck59yarmCiDCbKQCJYDlmwHLFgOWNh79697N27l+nTpwPg7u5O9erViYiIIDQ0NMdD13ERESl2NbtAZEeIXQLLJ0CvN/O3XWhLeGQ5zB8NG7+BA8scjwtZXaBmV0dxVeS1F68/Ewebpzmet37k0vuMfg2SDkNAOHR82rm4ZZWWAKw5toYsexY2q40ALzfqB/ux7UgSdXyvZe2pX/l5z8+0C2nHfY3uY07sHOYfmM/DTR6murmDI1kvszVhE5O3TebhJg+z5NASdp7eyS/xb/Jopyd5d9EjeAXPAr8NzNwzk5l7ZlK/Yn16RPTgurDrmDCwCa0jA3n11xhW7jtFj3cWcUOrc+C7iiWHF5JlsvCweTC67WjcUlsxeOabWCudxGZ8+WbA44xd9RwAvWv0JtAjkLmxcwG4Pvx6lu8+wbrja7G4QLeItnne/vDU2XQ+jt6LJdQxs5a7zTXvUO46wfI9CbjZrDzZvc6l4y4iIiIiIiIiIiJyhStQsdaQIUMuWjZo0KAiG4yUP3v37uXTTz91ztCSGRCGy5mDAKRFdsBj9x+sXLmSQYMGcc8999CrV6+LZm8TESkPjDEcO3aMvXv3EhcXx4EDB5yFWZe63aCxGPADU8FAJTBBBv5hwg8AzoNtji3HIts8x+usG7PAO7eNAH8w/gbTwEAqWE5Y4CRYTlvgNKSlpbF7925279590aZ+fn6EhIQQFhZG9erVqV69OjVq1CA0NBSbzZbLzkRERArh2qccxVobvoYu/wavvGdkysErEPq+D52ehp1z4dg2OJcAmamQlgJnDkByvOO2hbt/h8YD4cb/gsffZnGaPxrsGY6CsbBWee8rYS+s+tjxvNdb4OblXNWgUgN8XX1JTEtky8ktNK3cFIBu9aqw7UgS50+1AH5l/oH5PH3+aWpXqE338O7MOzCPt9a+xZBrnmXMot54hkzn/Q3v0zSoKW90fIPbf72dVfGriKg9ne51ezBv+0ACz19LqyabWXVsKdsTtrM9YTvj140n2DuYOhXqcH0nD9YeiiPJvo9FiamQ6BhjLZ/WdK1yPzOX2oiOm4ZndUcx1tPXPM7+lJ1EH4rGZrExtOFQog9GczjlML6uvuzcV50Pls3AIyIJq3HjjT598gzRf3/fSXJaJv4umdgBT5fcpwjNshtem7MDgCHtwgkL9Mq1nYiIiIiIiIiIiEhZUaBircmTJxfXOKScOXToEJMmTWLhwoUYYzBYyAhuREZwE1zWfwWA3bcqqfV64b53MadPn2b8+PFMnTqVe++9l+7du+uDfREp086dO8fWrVvZsmUL27ZtY8eOHbnOkpXNuBrwdcyahQ+OAi0/xzJK666DHmDCDISBwYDBMTtXIliSLZAMlhQLpIAl1UJSUhJJSUns2LEjRzfu7u5ERUXRoEEDGjVqRJMmTQgICCiNIxIRkfIgsiNUbQxHN8Paz6HjUwXbPqA6tH4o93UndjmKrNZNdsygdXAV3PwJhF0DKz+CbTPAYoPur1x6H9HjwJ4JtbpDretzrHK1utKhWgfm7p/LgrgFzmKtGxsFM2HBbtbt8qZZm4bEnNrKdzu/Y1jTYQxvPpxFBxex/MhyerXfjndGW9IS94L/Rp5a/BTf9f6O/3T4D09EP8G0XdO4vbYLdU+3ZUd8CLHbazNzyPOsPrGYPw78wZpja4g/G0/82XjHgCyOQ7LavUlNbEjG6dasTwthPSdwDViNZ9hsLBY7PcJ7cmvtvtw+53YAbq19K+F+4Yxc/AwA5xOu4Z3N+3EL2gJA5+od8XHLvQBr1b4Epq6OAwxW23nsBvzc/HJt+9P6Q+w8loyfhwvDukRdOu4iIiIiIiIiIiIiZUCBirVE/smhQ4eYOnUqc+bMISvLcTuLzMBI0kNbYDwDICsjR3u7T2XON7oFl+M7cD2ykaNHjzJu3DimTp3K3XffTefOnXFx0WkqIle+tLQ0tmzZwrp169i4cSMxMTHY7fYcbZyzZGUXYf29OKssTCpowTFWn/8Vb/HXv2QCKY6Hs5Ar2QKJjths27aNbdu28f333wMQGRlJs2bNaN68Oc2aNdMtFEVEJP8sFmj7fzDjQVg10fHc1aNo+g6qDb3fhia3w4/3wen98Hl38K4MZ4872nR5FoKb5N1H4iHY+tP/2j6Xa5PuEd2Zu38uc/bNYUTzEdisNupU9aVRNX+2HE4k3OUGYtjKNzHfMLj+YKr7VefehvfyyeZPeHPda9zV9r98uLA/Hl7HSeAI/7fg//jyhi95rvVzvLLqFb7b9Q1No3aSkHY9u47ByO/3MuXe/gyoM4BzGefYcnILB5IOcD7zPH5uftSqUIs6Feqwdn8Sc7btZ31CNMct80i1HAGgc1hn/nPtq3y86WN2n95NBfcK/KvJv3h2/iR2no7BZLlz5mhbQgLcoOoWkjPhhho9cj32lLRMRv64GYB+LXxZcC4Dq8VKJc9KF7VNzcji7fm7APi/66II8CoLCZOIiIiIiIiIiIjIpakKRi7byZMnWb58OQsXLmTDhg3O5Zn+oWSEtcLuXfHSHVitZFatT2bl2rgc247b4U3s37+fsWPH8v7773PdddfRsWNHGjZsqMItEbminD9/nsWLFxMdHc26detIS0vLsd54GcdtCyuCCXQUalFeJw10AQIcjxyFXAZH4dYpCySA5aQFS5KF2NhYYmNj+emnn7BarTRs2JBOnTrRrVs3KlSoUHrHISIiZUPD/rBgLCQdgvVfQusHi7b/sGvg4SXw+/Ow6VtHoZbNHTo/Ax2euPS2m6aCyYLwDhDSNNcmHUM74u/uz/Hzx1l2eBmdwjoBcFfr6oz6aQvLN4UQWbcGsYn7mLJ1Co81f4yHGj/E4oOL2Xl6JxvTJ1DJZxAJ+wcTVOdjdp7eyROLn+C9697Dz92PMSvGsPHkWixV1uHrW4uNifUY8Plhvhjcm0o+XrQObk3r4NbO8aRmprL8yHJ+O/IbC5MXct56HgBfN1+GNR3GHXXvYN6BeXy65VMAnmzxbx6btoaN9k+w2MDn/I2MvrkdvoExPL00gQD3AK4Luy7XYx/981biTp2jWoAnfa9xYUE0BHsH42pzvajt58tjiU9MJdjfg7vbRlw67iIiIiIiIiIiIiJlhCpfpMDsdjsxMTH8+eef/Pnnn+zevdu5zgBZAWFkBDfB7le1YB1bXcgMbkxmUB1cj23H9eg2Tp06xY8//siPP/6Ir68v11xzDW3btqV169b4+/sX7YGJiOSTMYaff/6ZSZMmkZiY+NdyT4OpbKAyjiIt71Ic5JXCwl+ziUX8r4ArDTgBluMWLMct2JPtbN68mc2bNzNx4kRuvfVW7rvvPlxdL/7QVkREBACbK1z7OPz6JCx+HRoPAM+Aot2HZwXo9wF0e9Exw1alKMeyf7J9luPfJrfn2cTN5sbNUTczZdsUvor5ylms1a9ZNd6ct5MjZ9K40f8uYhNf5ottX9C/Vn9CfUN5s9Ob3DnnTrac3Ey9+jM4uao3ifsH4xPxKcsPL+e5Zc8xrsM46lesz5tr3yT6YDR47cLDaxdx/EyXH16npn8U9YIi8XXzJTUzlQNJB9iesJ3UrFTn+CL8Iuhfqz+31L4FX1dfftr9E6+sdNz6sU/kAN79xY0jHu/g4p1KZfcoZt/5HB4ubgyc/SQAA+sMxM128SxYP6w9yE/rD2O1wPiBTVl96ltHqIIunqnsZEoaHy3aC8DIHnXwcC2vFe8iIiIiIiIiIiJytVGxluSL3W5ny5YtLFiwgCVLlnDq1CnnOgPYvYPICowgs2JNjLvP5e3MxZ2Mas3ICG6CLfEgtlP7cTkTR3JyMgsWLGDBggVYrVaaNm1Kly5d6NSpEwEBAZe3TxGRAvj11195++23ATDeBhNuMNUM+OMoTrrC3HTTTQwcOJBp06Yxe/ZsOE/pFpK5A6FgQo2jeOssWI5YsBywkH46nW+//ZbU1FRGjBhRioMUEZErXvMhsPJjSNgNvz/nKKwqDj5Bjkd+JB+Fo5sBC9S54ZJN76h7B19t/4pV8avYenIrDSs1xMPVxv3X1uC1uTv4bU1FrmnSmtVHV/Hyypf5uNvHRPhHMKHLBB6e/zAxSX9SvV4acTH9CTx1D1kVPmNu7Fwy7Zn8p8N/eO+694hLimPegXks3L+MLQlbwJrG3uRt7E3edtF4qnhVoVt4N26IvIHGlRpjN3ZWxq/k862fs/roagCuDe7B/GWtSfT8HjfvWDxsnnx+4zt4urrzy95fiDkVg5eLF3fVu+ui/rcdSeT5mVsBeLxbbVpGBPDqz/MBaBPc5qL2//1tJ8lpmTSs5ke/ptXyF38RERERERERERGRMkDFWpKntLQ0Nm3axJ9//smSJUs4ceKEc52xuZLlH0pWQHUyA0LB1fPSnRk7lvSzkJXpXGRJSwGbC8bNGyzWi7exWsmqEE5WhXDSjR1ryglsZ+KwnTkI506xfv161q9fz/jx42nevDkdOnSgTZs2hISEFFUIRERytXnzZudzU9dgwgxcwZNADRw4kOrVqzNw4EB++eUXOFfaI7qAN5gaBuNlsK1wzJrx9xiLiIjkyuYKN02AKb1g49dQtRG0ebh0x7RvsePf4CbgXemSTUN8Qrgx8kZ+2fcLEzdN5L2u7wFwd9twJi2L5dCpVPq5DmGjdQMrjqxg6o6p3FnvTlpVbcX4LuMZsWgEp+3rqVDjPPGxd1LX80GOe37G/APziUuKY2z7sdSvWJ/7G93P/Y3u59S584z+NZrfd2/A4nIGbKlU8/Pl2hq1uL1JO+pVrEWWyWLtsbW8svIVFsQtICE1AQA3qxvdggczZ2kdUr0W4RG4HIBx1/6HcL9wTqee5s21bwJwf6P7qeCRcwaykylpPPTVOtIy7XSuE8SwLlH8cWA++xL34ePqQ7fwbjnabzp4hu/XHQTgpT4NsFqvwGp4ERERERERERERkUJSsZY4JSUlsW3bNrZt28bmzZvZtm07GRnpzvXG5kpmhQiyKtYgyy8ErPm/DYUl/SxeG6flWOa1ZToA55oOxLj7/kMHVuy+VbD7ViEjrBWW1CRcTsViS9gH5xJYu3Yta9euBaBq1ao0bdqUhg0b0rBhQyIiIrBacykGExEppP79+7N06VLOnj2LdZ0Vs8FACNhr2qFyaY/uYtOmTXPOrGWxWMCrtEf0N4lg2WPBctCCJcPxQazVauXOO+8s5YGJiEiZENEeur4AC8bCb89A0mHo8u9//jJJcYn9X7FWZMd8NX+g8QP8Gvsr0Yei2XRiE02CmuDl5sLj3Wrz7xlb+HLJOYb1e4z3N73Jm2vfpF7FejSr3IyOoR15v+v7DF84nFT3GHzDJ7Nj/900qTmc096T2Hl6JwNnD6RzaGd61ehF6+DWBHpV4P3bbmDH0fZ8sGgvc7fEE3vCELs3ixlr5hMZ/jEJZi1JGaed4/N396djcA9OHWnDtD/ScA2MxqPKHAAea/YY3cK7YTd2Ri8fzanUU0QFRDGkwZAcx3g2LZP7vljLodPnCa/oxTsDm3L8/DFeXfUqAHfWuxNft79+H7TbDaN/3ooxcHOzarQID7yc/xERERERERERERGRK47FGGNKexBXmqSkJPz9/UlMTMTPz6+0h1MsjDEcPHiQzZs3s3nzZrZv305cXNxF7eyuXmQFhJFVoTpZ/qEFKtD6O0ta8kXFWtnyVax1qb5TE3E5tR/bmYNYk49hIecp7e3tTb169WjQoAGNGzemQYMGeHldSZUKIlIWnTlzhl9++YV58+Zx4MAB53ITbLA3s5fubQYBzoJtjuOabbFYMMY4/826Mav0x5cOlq0WrHv/KqatVKkS1113Hf379y8zsyReDTlDXq7mYxeRK4wxsPBlWPqW47V3EDS9CxoPhCr1S24cdju8XRdSjsHgmVCzS742e2H5C8zcM5MWVVowucdkLBYLWXZDn/eXse1IErc0r4Y96Av+iPsDf3d/JnWfRJ3AOgCsP7aeYQuGkZKRgkkN5WzcPTQO9aNm3YXMj/stx36qelclwi+CIM8gPF08OX3+LFuPxxJ/fg9Y//qSDlle+NmbUdHSiqTT4ew/mYbF5QweVX7FxW8LAPc2vJfHmz+OxWLh3fXv8umWT3GzuvFNr2+oG1jX2VXiuQzu/3INa/afJsDLlZ8eaYeXVwoPzn+Q2MRY6lSowze9vsHd5u7c5uuVB3h+5lZ83V1Y8FQnKvt6FPI/RK4UyhkKT7ETERGR/FDOUHiKnYiIiORHceQMKtbKRXlNzowxbN26ld9//52VK1dy/Pjxi9rYPfzI8nHMYJXlG4zx8APL5d9yojiLtXLIysCWfAxrcjy2lONYU05gsWfmaOLi4kLjxo3p1KkT3bp1w9e3iPYtIlclYwy7d+/ml19+4ddffyUzMxMsjqItE2IwQcZRGFXSd+/5W7HWhUqtWCsVOAGWeAuWwxYsmY6gdOzYkZtvvpmmTZtisxWuKLi0lNecIT+u5mMXkStUzGz47VlI/NuXUMLbQ9cxUL118e8/dil80Rvc/WDkXnBxy9dmR88epfeM3qRlpfF257e5Pvx6ANYdOM2tH6/AGJg8tDGf7R7F5pOb8XPz450u79CqaisAtids5+H5D3M67TRkVORs3N1E+tfg5Vsrs/Lkbyw9tJQ9Z/Zccgw+Lv742hsTf6Q2yadrADYsrqdw8d6Ni28Mrt67MZYsXCwuPN7icQbXH4zFYuGbmG94bfVrALza4VX61OwDOPKj5XsSeHbGZg6eOo+vhwtfDr0GL5/jDFswjGPnjlHVuypf9vySYJ9g5ziOJ6fS7a3FJKVmMuam+tzbPrKg/wtyBVLOUHiKnYiIiOSHcobCU+xEREQkP1SsVULKY3IWFxfHG2+8webNm53LjMWG3SeILN+qjuIs7yBwLZ5vLZdYsdaFjB3rudNYU47/r4jrKNb0FOdqT09Phg4dyoABAxy3BhMRuQz79+9nwoQJrFu3Lsdy424gAEyAAT8wfgZ8AddiHExpFmtlAclgSbJAElgSLXAGLOdyXmcjIyN57LHHaNGiRTEOpniVx5whv67mYxeRK1hWBuycA5umwe7fIfuLG63uh+vHglsxvgF+ezvsmgst7oGbJhRo0/c3vM/EzRMJ8Q5hZr+ZeLo4buP4/MwtfL0yjrBAT75/pBkjlz7KphObcLG48ETLJxhUbxAWi4XYxFge+eMRDqccBrsbqcduxCejAx/c2YJ2NSuRlJ7EntN7OJh8kITUBNIy03C1uVLFqwp1AusQFRCFBQtbTmxjWsxs/oxfzIm0QznG2Lpqa55s+ST1KtYDyFGoNbTBQ1xb6U72J5xj97FkFu86wY6jyQCEVvDkk8Et2Hl2If9Z9R9Ss1KJ9I/k424fE+KTcybNYd+s59ct8TSq5s/MYe2xWfU7WnmgnKHwFDsRERHJD+UMhafYiYiISH6oWKuElLfkbP/+/QwbNozk5GSM1UZmYA2yKtYgyy8YrC4lMoZSK9a6kDFYUpOwnTmA64ndWM+fBqB///6MGDGiZMYgIuXe3r17iY6OZt26dezYscMx21YujLujaMv4/O9f3/8VcfkA1lw3yb/iLtYywDkcxVjJFkj527/ncv9g1WKxULNmTZo2bUrHjh1p3LgxVuvlHmjpKm85Q0FczccuImVE0hFY9Cps+NrxukIk9H4bal5X9PuK+QWmDQKLDYatgkq1CrT5uYxz9P25L0fPHmVow6E83uJxAJJTM+j5zlIOnznPbS1CefnmOoxeMZq5sXMB6BjakVfbv0qARwCnUk/x9JKnWRW/CoCstMpknm7HkCZ9GNmtBW4uub/nHkw6yO8HfmfW3lnEJsY6l9ssNhoHNaZ9SHu6hXejZkBNAOzGzvsb3ufTLZ8C4JfWncP7unDhNKJuLlbuvKY6g9oHMGHja0QfigagfUh7Xu/4Ov7u/jna/7H9GPd/uRab1cLPw9rTsFrO9VJ2KWcoPMVORERE8kM5Q+EpdiIiIpIfKtYqIeUtOXvkkUfYtm0bWd5BpNXqinH3KfExXDHFWn9nDC7HYnA/sAKA8ePHl+nZXUTkypSWlsa+ffvYtWsX+/bt48CBA+zfv59Tp07luY2x/K94y99ABTCBBgKBgtwhsCiLtexAIlgSLHAaLGcsjpmzsvKe7cLHx4eIiAjCw8OJjIykdu3aREVF4eNT8u9Bxam85QwFcTUfu4iUMXsXwc/DIOmw43V4e2h6J9ToAv7VLr//XfPghyGQcQ7aPQbdXy5UN4viFvHYosewWWx8fePXNKzUEIBV+xK4/dOVGAMTbm9KnyYhfLfzO95c8ybp9nRCvEN4q/NbNKzUkCx7FlN3TOXDjR+SnJHs7NuWVYX6lWrRqEp1vF29SctKI/5sPDEJMRxK+WsGLXebO51CO3F9xPW0D2mPr1vO39OOnT3GiyteYtmRpQCknehG+smugIUQfw8iKnlTI8ibZmEVuK5uZZYd/Z1xq8aRnJGMi9WFYU2HMbThUKyWnIVjiecy6P7OYo4lpfFQpxo8e0O9QsVQrkzKGQpPsRMREZH8UM5QeIqdiIiI5Edx5AwlM62SlJrMzEy2bdsGQHp461Ip1LrQTTfdxMCBA5k2bRqzZ8/Gkn6udIq1LBYyq9bH5dQ+bMlH2bp1q4q1RKTIubu7U69ePerVy/mh49mzZzl06BBxcXEcOnSIgwcPcujQIQ4cOMD58+cdM1YlWeCgo72xGKgIJthgqv1vBq5L8fxfUVYm2OY5irayumc53vk98zHw82A5YsESb4HjuRdmubq6EhoaSvXq1QkLCyM0NJSwsDDCwsLw9/fX7WVFROTKULML/OtPWDQO1nwGB5Y7HgDelaFqQwhpDhEdHIVcLm756/fcKVj4Cqyd5Hhdqzt0HV3oYXap3oWeET35bf9vPLPkGab1noaPmw+ta1Tk0S5RvLtwD89M30xUZR/uqHsHzSs35/HoxzmYfJC7597NC21e4OZaNzOo/iD6RvXlp90/8e22mRw5v4cs2zG2nD7GltMX79dmsdGyakt6Rfbi+vDr8XHL+Ttjhj2DbSe3MSd2Lj/unE6GScPYXUg9ejNhrh0Z2jeCng2DCfJ1z7HNqytfZfru6QA0rNiQse3HUqtC7jOOjZ61lWNJadSo5M3j3WoXOoYiIiIiIiIiIiIiZYFm1spFeauk/7//+z82b96M3d2XtKgu2H0ql/gY/j6z1tdff0316tWJi4tj0KBBpNbsQlalmiU+JrIycTu0FtejWwF47733aNKkScmPQ0Tkb4wxHD9+nNjYWPbs2cPOnTvZunUrCQkJOdtVMJhIg6luwPUSHWaCbcb/irVuzrp0mbYdLIctWGItWI7lLLTy8fGhQYMG1KlTh1q1alGjRg2Cg4Nxcbm6677LW85QEFfzsYtIGZZ42HFbxF1zIX4zmKyc6z38oeEt0OJeCG6cex/p52D1RFg6HtISHcta3gc9X8t/oVdew0tL5NZfbuXo2aNcF3Ydb3d+G5vVRpbdMHTKGhbvOkGwvwc//asdwf6eJKcn8/yy51l4cCEA/Wv155lWz+Dl6uXs88Dp47y1eCGL9m4ljUQs1nQwLtgzffGwhxDhW5/aQUFEVfahZpA3AT4Z7EpezbZTm9hxKob9SXvJNBnO/jLPheOZNICnOndmQMtQXGw5Z8k6l3GOJxY/wfLDy7FarDzc5GEeaPQALtbcc4aZGw4zYtpGbFYLPz7clmbVK1xWDOXKo5yh8BQ7ERERyQ/lDIWn2ImIiEh+6DaIJaS8JWfx8fGMGDGC+Ph4ADIDa5AR0gS7d8USG8Pfi7UunFnrXL3e2H2rlNhYyMrA5cQuXI9swppxDoAHH3yQQYMGldwYREQKwBjD4cOHWbt2LcuWLWPdunVkZTk+XDYujoItE+m4ZSIXTmaVn2KtFBwFWrEWLGl/ddCgQQPat29P69atqVmzJlarNZeNr27lLWcoiKv52EWknEg/B8e2wdHNcGgN7FkAZ4//tT60FTS9C6K6gV81SDoE22bAnx9AyjFHmyqNoOc4iLy2yIa18fhGhv4+lAx7BnfUvYNnr3kWi8VC4rkMbv5oOftOnKVmkDffPdiWIF937MbOJ5s/4cONH2IwVPetznOtn6NtSNscs1yeS89k4Y7jLN55gvVxp4k9eRa7868Bdmzeu3ANWIOLbwwWiz3HmEymF5lno3BPbc3Q5j2579oa+LhfnFSkpKcwbMEw1h9fj4fNgzc7vUmnsE55HuvuY8n0/WA559KzeLxbbYZ3y33mLSnblDMUnmInIiIi+aGcofAUOxEREcmPclms9eGHH/Lf//6X+Ph4GjRowDvvvMO11+b+h+6ffvqJjz76iI0bN5KWlkaDBg148cUX6dGjh7PNlClTuPfeey/a9vz583h4eORrTOUxOUtKSuK9997j999/dy7L8gsmI7gxWf6hUMy3qvp7sZbFYsEY4/z3XNOBJXIbREv6OVyObsP1+A4sWWkAVKlShREjRtC+ffti37+ISFE5c+YM8+bNY9asWcTFxTmXG1+DiXA8yH7Ly6tYKxMscRYs+y1YEv56DwgMDKRXr1706tWLkJCQEjqisqs85gz5dTUfu4iUU/Ys2L8U1n0BMbPAnpl3W//q0OXf0HggFEMx89zYuTy95GkAbql1C8+1eQ5XqyuHTp9jwMd/ciQxlRpB3nw59BpCKzhm0Vodv5p/L/s3x845CskaV2rMzbVupnNYZyp5VrpoH+czMliwdz1zYuey7uQiztlPOddlpQaTmVIba0Z1qrhH0iw4iuvqVaF7/Sp4uNpyHfPJ8yf51x//IuZUDL6uvnx8/cc0DspjdjLg1Nl0bv5wOQcSztGuZkW+uq81NqtuoVweKWcoPMVORERE8kM5Q+EpdiIiIpIf5a5Ya9q0aQwePJgPP/yQ9u3bM3HiRD777DO2b99O9erVL2o/YsQIQkJC6NKlCwEBAUyePJk333yTVatW0axZM8BRrDV8+HB27tyZY9uqVavme1zlOTnbs2cP3377LQsXLsRud3xbOssrkIzgJmQFRhbLBw2Qs1jrQsVdrGVJTcQ1fisuJ3Zh+d9tTqpVq8aAAQPo1asXbm6Xd6sSEZHSYoxhw4YNzJ49myVLlpCenu5YYQV7dTumoeMWiTmKtQDLDguW3RYsmY4PRK1WK61ataJXr1506NDhqr+1YUGU55zhn1zNxy4iV4GU47DxW9j+M8Rvctwu0WKD0JbQbLCjSOsyb3n4T37c9SNj/xyLwdC8cnNe6fAKYb5h7D95ljs/XcmRxFQq+bgxcXBLWoQ7bh2YnJ7Mhxs/ZNrOaWTY/7p1YahPKOH+4QS4B2C32zl+/ji7Tu8iOT3Z2SbAPYDeNXrTv1Z/ogKisBvyXTy1P3E/wxYMIy45jgruFfjo+o9oULFBnu0Tz2dw12cr2Xo4ibBAT2b+qz0VfdwLGSm50ilnKDzFTkRERPJDOUPhKXYiIiKSH+WuWKt169Y0b96cjz76yLmsXr169OvXj3HjxuWrjwYNGjBw4EBGjx4NOIq1RowYwZkzZwo9rqshOTt27Bg//vgjs2bN4vz58wDYXT3JqliTzAoR2H0rg6XoCrdKuljLkn4W25mDuCTsw5p0xHlXsAYNGnDnnXfSrl07bLbcvxEuIlIWpaSkEB0dza+//sq2bdsAMK4Ge1s7tiX/K9bqnoV1hRVLiuOqGBoaSu/evenevTuVKl0844b8s6shZ8jL1XzsInKVyUyHtCRw9wWXki0oij4YzTNLnuFc5jlcra7cXvd2hjYcSnqaN/d9sZaY+CRcbRae6VmXoe0jsf6vuOrk+ZPM2juL32J/I+ZUTJ79e7t606FaB26IvIFrq12Lm63gBWiLDy5m1NJRpGSkUM2nGp9c/wnV/S7+8lW2+MTz3DdlLdvjk6jo7ca0h9oSVdmnwPuVskM5Q+EpdiIiIpIfyhkKT7ETERGR/CiOnKHUps5IT09n3bp1jBo1Ksfy7t27s2LFinz1YbfbSU5OJjAwMMfylJQUwsPDycrKomnTprz88svOmbdyk5aWRlpamvN1UlJSAY6kbKpSpQrDhg1j8ODB/PTTT8yYMYPTp09jPboV16NbMTZXsnyrkuUXjN23KnavimC9coubLOlnsSYfxZZ8DFvSEaznz+RY36ZNG+644w6aNm2KpZhv+SgiUhp8fHzo3bs3vXv3ZuvWrUyYMIGdO3di/fOvwlvrakehVlBQEMOHD6dDhw5Yi2lGRRERkXLDxQ1cSqeouXNYZ3686UdeXvkyf8b/yVfbv2Lajmn0qtGLcbffzsT5XszdepRXfo1h8a4TvDWgCZV9PajkWYmhDYcytOFQEtMS2XFqB4dTDpOcnozVYqWCRwVq+NegVoVauFpdCzW2tKw0Ptr4EZO2TgKgWeVmvN357VxvuZht8a4TPDFtIwln06no7cbX97dWoZaIiIiIiIiIiIhcdUqtWOvkyZNkZWVRpUqVHMurVKnC0aNH89XHW2+9xdmzZxkwYIBzWd26dZkyZQqNGjUiKSmJCRMm0L59ezZt2kStWrVy7WfcuHG89NJLhT+YMszPz4977rmHu+66i5UrV7JkyRJWrlxJYmIiLmcO4nLmIADGasPuXZks3yqOAi6fKmArpdPHGCxpSdiS4p0FWta05BxNLBYL9evXp127dlx//fUFug2miEhZ17BhQ95//30eeOAB9u/f71xuOWPB29ubDz/88KL3XxEREbkyhfmFMfH6iaw4soIPN33I5hObmbFnBjP2zKBnRE+eDr+dCb8fZ+nuk/QYv4QX+zSgT5MQ55dU/N39aR3cukjHtOH4Bsb+OZY9Z/YAMLDOQJ655pk8C7+2H0nivYW7mbvV8bt+vWA/PhncgrBAryIdl4iIiIiIiIiIiEhZUGq3QTxy5AjVqlVjxYoVtG3b1rn81Vdf5auvvmLHjh2X3H7q1Kncf//9/Pzzz3Tr1i3Pdna7nebNm9OxY0fefffdXNvkNrNWWFjYVTvtaVZWFnv27GHDhg1s3ryZLVu2kJiYmKONsVix+1Yhyz+UzMAIjIf/pTs1dizpZyErE68t0wE41+gWsLlg3Lz/+ZaL9kxsZw5hOxOHLfEw1vSzOVZbrVaioqJo1KgRTZs2pWnTpvj7/8OYRETKuWXLlvHvf/87x7KhQ4dyzz33lM6AyqGrear0q/nYRURKizGGTSc28dX2r5h/YD4Gg6eLJ7fVvI8Fq+qwI97xe1L3+lV4uV9Dqvh5XNb+0rPSSUxLJCUjhRPnThBzKoaFcQtZf3w9AIEegYxuM5qu4V0xxpBpN6Rn2klKzeDgqfNsOniGeduPsmb/aQCsFhjSLoKne9TF0+3KnblZipZyhsJT7ERERCQ/lDMUnmInIiIi+VGuboNYqVIlbDbbRbNoHT9+/B9n+5g2bRr33XcfP/zwwyULtcBRxNOqVSt2796dZxt3d3fc3d3zP/hyzmazUadOHerUqcPtt9+O3W4nLi6OLVu2sGnTJjZs2MCJEyewJcVjS4rH7eAasryDyKxSn8xKNXMvvLJYMe6+kJXhXGTcfcB26VtuWFITcY3fgsvJvVjsf23r6upK/fr1adKkCY0bN6ZBgwZ4e3sXWQxERMqD9u3b06xZMzZs2ABAUFAQt99+eymPSkRERArLYrHQtHJTmlZuSkxCDONWj2PD8Q18ufN9mkQ1ZWjt+/ly6VnmbT/G8j0nua9DJPd1qIG/V/5udXgm9QwLDy5k6aGlbD65mePnjufazmqxUce7C75n+/LadAsjkn4nJS2TvL4KZrNauKFhVf7vuijqVtUHICIiIiIiIiIiInJ1K7ViLTc3N1q0aMH8+fO5+eabncvnz59P375989xu6tSpDB06lKlTp9KrV69/3I8xho0bN9KoUaMiGffVyGq1EhERQUREBDfddBPGGA4dOsTq1atZvny5owjg7Als+xbjGr+ZtBodsfsEXd5O7Zm4HlqHa/xWLDj+4l+lShU6dOhA27Ztady4MR4el/ctcRGR8s5isdCvXz9nsVbPnj117RQRESkn6lWsx5SeU/h5z8+8vuZ1Np3cyHbr4wzsMYCt21qyKS6NdxfuYdKyWPo0rUa3epVpFOpPkI+78xaJABlZWSw99Cc/7vqeP+OXkmkyc+zHggV3mxfuFj+smVU5cyqUpIQGrM4MAHLOeJzNxWqhip8Hdav60i6qEr0aBVPVXzmIiIiIiIiIiIiICJRisRbAE088weDBg2nZsiVt27blk08+IS4ujocffhiAZ599lsOHD/Pll18CjkKtu+++mwkTJtCmTRvnrFyenp7OW9699NJLtGnThlq1apGUlMS7777Lxo0b+eCDD0rnIMshi8VCWFgYYWFh3HLLLZw+fZpff/2VadOmkZh4Go9ts8gIbkxGtab/OHNWbqxJR3GPXYY19QwAbdq04Y477qBp06Y5PlQQEZF/Vr9+fefz2rVrl+JIREREpKhZLVZurnUzrYNbM3blWJYfXs6s/d8QEPgrfWvewNadNdh7xIepq+OYujoOAFebBQ9XC7gdJtNjK1bfDVjdTjn7zEoNJjO5IVlna2BPr4zJ8gRyzp7s6+5CuzoVaRFegbpV/QgJ8MDPwxV3FxuuLhY8XW363U1EREREREREREQkD6VarDVw4EASEhIYO3Ys8fHxNGzYkDlz5hAeHg5AfHw8cXFxzvYTJ04kMzOTYcOGMWzYMOfyIUOGMGXKFADOnDnDgw8+yNGjR/H396dZs2YsWbKEa665pkSP7WpSoUIFBg0axE033cQ777zDggULcIvfhMvJ3WSEtSKzUhTk4w/1lrRk3OJW43IqFoDAwEBGjhxJ+/bti/sQRETKraCgv2Y69PT0LMWRiIiISHEJ8Qnho64fseTQEt5c+yb7k/az8OhU8IeQShXwNNVJSvEkOS0di8sZjMdhLLY05x8ETJY7GYktyDhzDfa0qs5+PVytBHi7UcXPnchK3tQP8aNFeCBNQv1xsVlzH4yIiIiIiIiIiIiIXJLFGGNKexBXmqSkJPz9/UlMTMTPz6+0h1PmLFu2jPfee4/4+HgAsnyrklajI8bDD7Iy8F77BQBnWw5xzLxlDC5Ht+F2aA0WexZWq5VevXrx0EMPKf4iIkWgY8eOALz55psqXi5iV3POcDUfu4jIlSzTnsmCuAX8vOdnVsWvIt2enms7TxcvmgVdw3VhXbk+vBu+7l5YLRay/0Rgs1o0O5YUCeUMhafYiYiISH4oZyg8xU5ERETyozhyhlKdWUvKpw4dOtCqVSt++OEHvvzyS1KTj+K5dSaptbph9wnK2dieifueaFxO7wegadOmDB8+nJo1a5b8wEVEyjl94CoiIlL+uVhd6BHRgx4RPUjLSiMmIYY9Z/ZwOvU0FouFyl6VqVOhDlEBUdistlx6UL4gIiIiIiIiIiIiUpxUrCXFwt3dnUGDBnHdddfx8ssvs23bNjx2/k5aVJe/Gtkz8dizCFvSEVxdXXn00Ufp27eviglERIqJJtMUERG5urjb3GlauSlNKzct7aGIiIiIiIiIiIiIyP9YS3sAUr6FhITwzjvv0KFDBywmC/c9C53r3P9XqOXh4cGbb75Jv379VKglIlIMIiMj8fT0pF69eqU9FBERERERERERERERERGRq5qKtaTYubu789JLL9GuXTssxu5c7vK/Qq3//ve/NGvWrBRHKCJSvn300Ud89913+Pr6lvZQRERERERERERERERERESuairWkhLh6urKSy+9RGRkZI7lzz77LE2aNCmlUYmIXB28vLyoUKFCaQ9DREREREREREREREREROSqp2ItKTHu7u7079/f+bpy5cp07ty59AYkIiIiIiIiIiIiIiIiIiIiIlKCVKwlJSo0NDTHc4vFUoqjEREREREREREREREREREREREpOSrWkhJVqVKlXJ+LiIiIiIiIiIiIiIiIiIiIiJR3KtaSElWhQgXncx8fn1IciYiIiIiIiIiIiIiIiIiIiIhIyVKxlpQob29v53PdAlFEREREREREREREREREREREriYq1pISZbPZSnsIIiIiIiIiIiIiIiIiIiIiIiKlQsVaIiIiIiIiIiIiIiIiIiIiIiIiJUDFWlJqrFadfiIiIiIiIiIiIiIiIiIiIiJy9VC1jJS4Ll26YLPZ6NOnT2kPRURERERERERERERERERERESkxLiU9gDk6jN69GiSk5MJCAgo7aGIiIiIiIiIiIiIiIiIiIiIiJQYzawlJc5ms6lQS0RERERERERERERERERERESuOirWEhERERERERERERERERERERERKQEq1hIRERERERERERERERERERERESkBKtYSEREREREREREREREREREREREpASrWEhERERERERERERERERERERERKQEq1hIRERERERERERERERERERERESkBpV6s9eGHHxIZGYmHhwctWrRg6dKll2y/ePFiWrRogYeHBzVq1ODjjz++qM306dOpX78+7u7u1K9fnxkzZhTX8EVERESuCMWRU4mIiIjIX5RviYiIiBQv5VsiIiJytSjVYq1p06YxYsQInnvuOTZs2MC1117LDTfcQFxcXK7tY2NjufHGG7n22mvZsGED//73v3nssceYPn26s82ff/7JwIEDGTx4MJs2bWLw4MEMGDCAVatWldRhiYiIiJSo4sipREREROQvyrdEREREipfyLREREbmaWIwxprR23rp1a5o3b85HH33kXFavXj369evHuHHjLmr/zDPPMGvWLGJiYpzLHn74YTZt2sSff/4JwMCBA0lKSmLu3LnONj179qRChQpMnTo1X+NKSkrC39+fxMRE/Pz8Cnt4IiIiUs5dKTlDceRU/+RKOXYRERG5spWXnEH5loiIiFypykvOoHxLRERErlTFkTO4FEkvhZCens66desYNWpUjuXdu3dnxYoVuW7z559/0r179xzLevTowaRJk8jIyMDV1ZU///yTxx9//KI277zzTp5jSUtLIy0tzfk6MTERcARcREREJC/ZuUIp1r4XW051IeVLIiIiUhhXQr50uZRviYiIyJVM+dZflG+JiIhIcSiOfKvUirVOnjxJVlYWVapUybG8SpUqHD16NNdtjh49mmv7zMxMTp48SXBwcJ5t8uoTYNy4cbz00ksXLQ8LC8vv4YiIiMhVLDk5GX9//1LZd3HlVBdSviQiIiKXIyEhodTypculfEtERETKAuVbyrdERESkeBVlvlVqxVrZLBZLjtfGmIuW/VP7C5cXtM9nn32WJ554wvnabrdz6tQpKlaseMntpHCSkpIICwvj4MGDmlZWyhSdu1JW6dwtPsYYkpOTCQkJKe2hFEtO9XcX5ktnzpwhPDycuLi4MvuHwKKgny8HxUExyKY4KAbZFAcHxcExW0H16tUJDAws7aFcNuVbpUM/R4pBNsXBQXFQDLIpDopBNuVbOdvntjyb8q2L6efIQXFwUBwUg2yKg2KQTXFwKI58q9SKtSpVqoTNZruoIv748eMXVcJnq1q1aq7tXVxcqFix4iXb5NUngLu7O+7u7jmWBQQE5PdQpJD8/Pyu6h9oKbt07kpZpXO3eJT2H3KKK6e6UG75EjiOX+eVfr6yKQ6KQTbFQTHIpjg4KA5gtVpLewiFpnzryqCfI8Ugm+LgoDgoBtkUB8Ugm/It5VuXQz9HDoqDg+KgGGRTHBSDbIqDQ1HmW6WWubm5udGiRQvmz5+fY/n8+fNp165drtu0bdv2ovbz5s2jZcuWzntP59Umrz5FREREyrLiyqlERERExEH5loiIiEjxUr4lIiIiV5tSLbN/4okn+Oyzz/j888+JiYnh8ccfJy4ujocffhhwTEd69913O9s//PDDHDhwgCeeeIKYmBg+//xzJk2axFNPPeVsM3z4cObNm8frr7/Ojh07eP311/njjz8YMWJESR+eiIiISIkojpxKRERERP6ifEtERESkeCnfEhERkatJqd0GEWDgwIEkJCQwduxY4uPjadiwIXPmzCE8PByA+Ph44uLinO0jIyOZM2cOjz/+OB988AEhISG8++673HLLLc427dq147vvvuP555/nhRdeoGbNmkybNo3WrVuX+PFJ7tzd3RkzZkyuU82KXMl07kpZpXO3/CuOnOqf6LxyUBwcFAfFIJvioBhkUxwcFIfyEwPlW6VHcVAMsikODoqDYpBNcVAMspWXOCjfKh2KgYPi4KA4KAbZFAfFIJvi4FAccbAYY0yR9SYiIiIiIiIiIiIiIiIiIiIiIiK5KtXbIIqIiIiIiIiIiIiIiIiIiIiIiFwtVKwlIiIiIiIiIiIiIiIiIiIiIiJSAlSsJSIiIiIiIiIiIiIiIiIiIiIiUgJUrCUiUsqio6OxWCycOXOmtIciIiIiIiIiIiIiIiIiIiIixUjFWpIvL774IhaLJcejatWql9wmIiKCd955J9e+mjZt6mxzYb9/f3Tu3Pmidl5eXjRs2JCJEycW8VFKeXH06FEeffRRatSogbu7O2FhYdx0000sWLCgyPbRuXNnRowYUWT9iVyu7GvkypUrcyxPS0ujYsWKWCwWoqOjAWjTpg2PPPJIjnYfffQRFouFSZMm5Vh+33330a5du2Idu1w5PvzwQyIjI/Hw8KBFixYsXbo0z7Y//fQT119/PUFBQfj5+dG2bVt+//33i9pNnz6d+vXr4+7uTv369ZkxY0ZxHsJlK+oYTJkyJdccJzU1tbgP5bIUJA7Lli2jffv2VKxYEU9PT+rWrcv48eMvalfWzgUo+jiUxfOhIDH4u+XLl+Pi4uLM+/+uvJ8Lf5dXHMr7uZD9ZYQLHzt27MjRrryfC/mJQ1k8F6DgPxNpaWk899xzhIeH4+7uTs2aNfn8889ztCmL50NhKN9SvpVN+ZZyrWzKtxyUbynfyqZ8S7lWUStoPBcvXkyLFi3w8PCgRo0afPzxxyU00uJTHDloWVQc77llTXFcX8qigsbhm2++oUmTJnh5eREcHMy9995LQkJCCY226C1ZsoSbbrqJkJAQLBYLM2fO/MdtyuO1saBxKK/Xx8KcD9nKy/WxMDEokuujEcmHMWPGmAYNGpj4+Hjn4/jx45fcJjw83IwfPz7Xvpo0aWKMMeb48ePO/qZPn24As3PnTueyhIQEZ19jx4418fHxZvfu3ea5554zgPnuu++K+lCljIuNjTUhISGmfv365ocffjA7d+40W7duNW+99ZapU6dOke2nU6dOZvjw4ZdsY7fbTUZGxj/2tWjRIgOY06dPF83g5KoEmLCwMPPggw/mWD516lRTvXp1A5hFixYZY4wZNWrURT8PAwYMMGFhYeauu+7KsbxGjRrm3//+d7GOXa4M3333nXF1dTWffvqp2b59uxk+fLjx9vY2Bw4cyLX98OHDzeuvv25Wr15tdu3aZZ599lnj6upq1q9f72yzYsUKY7PZzH/+8x8TExNj/vOf/xgXFxezcuXKkjqsAimOGEyePNn4+fnlyKHi4+NL6pAKpaBxWL9+vfn222/N1q1bTWxsrPnqq6+Ml5eXmThxorNNWTsXjCmeOJS186GgMch25swZU6NGDdO9e3dn3p/tajgXsl0qDuX9XMjOb//+u118fLzJzMx0trkazoX8xKGsnQvGFO5nok+fPqZ169Zm/vz5JjY21qxatcosX77cub4sng+FoXxL+VY25VvKtbIp33JQvqV8K5vyLeVaRa2g8dy3b5/x8vIyw4cPN9u3bzeffvqpcXV1NT/++GMJj7zoFEf+VRYVx3tNWVMc15eyqKBxWLp0qbFarWbChAlm3759ZunSpaZBgwamX79+JTzyojNnzhzz3HPPOT+bnzFjxiXbl8drozEFj0N5vT4WNA7ZytP1sTAxKIrro4q1JF/+XmCVX/kp1vq7SxWs5NZXrVq1zO23316gMUn5d8MNN5hq1aqZlJSUi9Zln1sHDhwwffr0Md7e3sbX19fcdttt5ujRo8522efol19+acLDw42fn58ZOHCgSUpKMsYYM2TIEAPkeMTGxjrP4d9++820aNHCuLq6moULF5rU1FTz6KOPmqCgIOPu7m7at29vVq9e7dyfirUkP+bOnWvat29v/P39TWBgoOnVq5fZs2ePcz1gnn/+eePn52fOnTvnXH799debF154IUex1u+//24Ac+TIEWe7KlWqmA8//NBUq1bNuSwuLs4AZv78+cV/gFLqrrnmGvPwww/nWFa3bl0zatSofPdRv35989JLLzlfDxgwwPTs2TNHmx49elyx79/FEYPJkycbf3//ohpiiSiKONx8881m0KBBztdl7VwwpnjiUNbOh8LGYODAgeb555/PNe+/ms6FS8WhvJ8L+clvr4ZzIT9xKGvngjEFj8PcuXONv7+/88tYuSmL50NhKN9SvpVN+ZZyrWzKtxyUbynfyqZ8S7lWUStoPJ9++mlTt27dHMseeugh06ZNm2IbY3ErjvyrLCqO95qypjiuL2VRQePw3//+19SoUSPHsnfffdeEhoYW2xhLUn4KU8rjtfFCBSlS+rvycH38u4LEoTxdH/8uPzEoquujboMo+bZ7925CQkKIjIzk9ttvZ9++faU6Hg8PDzIyMkp1DHJlOXXqFL/99hvDhg3D29v7ovUBAQEYY+jXrx+nTp1i8eLFzJ8/n7179zJw4MAcbffu3cvMmTOZPXs2s2fPZvHixbz22msATJgwgbZt2/LAAw8QHx9PfHw8YWFhzm2ffvppxo0bR0xMDI0bN+bpp59m+vTpfPHFF6xfv56oqCh69OjBqVOnijcgUq6cPXuWJ554gjVr1rBgwQKsVis333wzdrvd2aZFixZERkYyffp0AA4ePMiSJUsYPHhwjr7at2+Pq6ur87aI27dv5/z58wwdOpSkpCR2794NwKJFi3Bzc9NtEK8C6enprFu3ju7du+dY3r17d1asWJGvPux2O8nJyQQGBjqX/fnnnxf12aNHj3z3WZKKKwYAKSkphIeHExoaSu/evdmwYUORjbuoFUUcNmzYwIoVK+jUqZNzWVk6F6D44gBl53wobAwmT57M3r17GTNmTK7rr5Zz4Z/iAOX/XABo1qwZwcHBdO3alUWLFuVYd7WcC3DpOEDZORegcHGYNWsWLVu25I033qBatWrUrl2bp556ivPnzzvblLXzoTCUbynfyqZ8S7lWNuVbDsq3lG9lU76lXKuoFSaeecVq7dq1ZfLzqOLMv8qS4nyvKSuK6/pS1hQmDu3atePQoUPMmTMHYwzHjh3jxx9/pFevXiUx5CtCebs2FpXycH0srPJ0fSyMoro+uhTT+KScad26NV9++SW1a9fm2LFjvPLKK7Rr145t27ZRsWLFPLd75plneP7553MsS09Pp379+oUeS2ZmJl9//TVbtmzhkUceKXQ/Uv7s2bMHYwx169bNs80ff/zB5s2biY2NdRZYffXVVzRo0IA1a9bQqlUrwPEGO2XKFHx9fQEYPHgwCxYs4NVXX8Xf3x83Nze8vLyoWrXqRfsYO3Ys119/PeAosPnoo4+YMmUKN9xwAwCffvop8+fPZ9KkSYwcObJIYyDl1y233JLj9aRJk6hcuTLbt2+nYcOGzuX33nsvn3/+OYMGDWLy5MnceOONBAUF5djW29ubVq1aER0dzR133EF0dDQdOnTA3d2d9u3bEx0dTa1atYiOjqZ169Z4eXmVyDFK6Tl58iRZWVlUqVIlx/IqVapw9OjRfPXx1ltvcfbsWQYMGOBcdvTo0cvqsyQVVwzq1q3LlClTaNSoEUlJSUyYMIH27duzadMmatWqVaTHUBQuJw6hoaGcOHGCzMxMXnzxRe6//37nurJ0LkDxxaEsnQ+FicHu3bsZNWoUS5cuxcUl9181r4ZzIT9xKO/nQnBwMJ988gktWrQgLS2Nr776iq5duxIdHU3Hjh2Bq+NcyE8cytK5AIWLw759+1i2bBkeHh7MmDGDkydP8q9//YtTp07x+eefA2XvfCgM5VvKt7Ip31KulU35loPyLeVb2ZRvKdcqaoWJZ16xyszM5OTJkwQHBxfbeItDceVfZU1xvdeUJcV1fSlrChOHdu3a8c033zBw4EBSU1PJzMykT58+vPfeeyUx5CtCebs2FpXycH0sjPJ2fSyMoro+Xp3RkwLLLjIBaNSoEW3btqVmzZp88cUXpKam8p///Me5fvv27VSvXh2AkSNHcs899+To691332XJkiUFHkN24VdaWhpubm6MHDmShx56qHAHJOWSY2ZCsFgsebaJiYkhLCwsx0xY9evXJyAggJiYGGexVkREhLNQCxy/+B8/fjxf42jZsqXz+d69e8nIyKB9+/bOZa6urlxzzTXExMTk78BEcJxLL7zwAitXruTkyZPOGbXi4uJyFGsNGjSIUaNGsW/fPqZMmcK7776ba39dunThhx9+ACA6OprOnTsD0KlTJ6Kjo3nggQeIjo7m7rvvLt4DkyvKhddPY8wlr6nZpk6dyosvvsjPP/9M5cqVi6TP0lLUMWjTpg1t2rRxvm7fvj3Nmzfnvffey/Pn80pQmDgsXbqUlJQUVq5cyahRo4iKiuKOO+64rD5LW1HHoSyeD/mNQVZWFnfeeScvvfQStWvXLpI+ryRFHYfyfC4A1KlThzp16jhft23bloMHD/Lmm286PzQraJ9XiqKOQ1k8F6BgcbDb7VgsFr755hv8/f0BePvtt7n11lv54IMP8PT0LHCfZZnyLeVb2ZRvKdfKpnzLQfmW8q1syreUaxW1gh57bu1zW16WFEcOWhYVx3tuWVMc15eyqCBx2L59O4899hijR4+mR48exMfHM3LkSB5++GEmTZpUEsO9IpTHa+PlKG/Xx/wqz9fHgiiq66OKtaRQvL29adSoEbt37+bVV1/NUTEaEhLifF6pUiWioqJybFvYqQCzC7+8vLwIDg6+ai/+krdatWphsViIiYmhX79+ubbJK+G6cLmrq2uO9RaLJcft5i7l77dgzCtZuZp+GZaicdNNNxEWFsann35KSEgIdrudhg0bkp6enqNdxYoV6d27N/fddx+pqanccMMNJCcnX9Rfly5dePXVVzl8+DCLFy/mqaeeAhzFWu+99x5xcXHExsbSpUuXEjk+KV2VKlXCZrNd9O2h48ePX/SNmQtNmzaN++67jx9++IFu3brlWFe1atVC9VkaiisGF7JarbRq1cp5u9ErzeXEITIyEnAU9h87dowXX3zR+cFZWToXoPjicKEr+XwoaAySk5NZu3YtGzZs4P/+7/8Axy+txhhcXFyYN28e1113Xbk/F/IbhwuVp3MhL23atOHrr792vi7v50JeLozDha7kcwEKF4fg4GCqVavm/OMVQL169TDGcOjQIWrVqlXmzofCUL6lfCub8i3lWtmUbzko31K+lU35lnKtolaYeOYVKxcXl0veZeZKVVL515WupN5rrmTFdX0pawoTh3HjxtG+fXvnnXIaN26Mt7c31157La+88spVMatUebs2Xq7ydH0sqPJ4fSyMoro+WotrgFK+paWlERMTQ3BwMIGBgURFRTkfxTXdXXbhV0hIiIpcJFeBgYH06NGDDz74gLNnz160/syZM9SvX5+4uDgOHjzoXL59+3YSExOpV69evvfl5uZGVlbWP7aLiorCzc2NZcuWOZdlZGSwdu3aAu1Prm4JCQnExMTw/PPP07VrV+rVq8fp06fzbD906FDnrFg2my3XNu3atcPd3Z0PP/yQ8+fP06JFC8AxM1xiYiITJ07Ew8MjxzcPpfxyc3OjRYsWzJ8/P8fy+fPn065duzy3mzp1Kvfccw/ffvstvXr1umh927ZtL+pz3rx5l+yztBRXDC5kjGHjxo1X7C/xhY3DhYwxpKWlOV+XpXMBii8Oua2/Us+HgsbAz8+PLVu2sHHjRufj4Ycfpk6dOmzcuJHWrVsD5f9cyG8cLlSezoW8bNiwIcfxlfdzIS8XxuFCV/K5AIWLQ/v27Tly5AgpKSnOZbt27cJqtRIaGgqUvfOhMJRvKd/KpnxLuVY25VsOyreUb2VTvqVcq6gVJp55xaply5YXfcG7LCip/OtKV1LvNVey4rq+lDWFicO5c+ewWnOWVGR/7pI9YUN5V96ujZejvF0fC6o8Xh8Lo8iuj0YkH5588kkTHR1t9u3bZ1auXGl69+5tfH19zf79+/PcJjw83IwfP/6i5WPGjDFNmjS5aPmiRYsMYE6fPp3vvkQutG/fPlO1alVTv3598+OPP5pdu3aZ7du3mwkTJpi6desau91umjVrZq699lqzbt06s2rVKtOiRQvTqVMnZx+5naPjx4834eHhztcPPPCAadWqlYmNjTUnTpwwWVlZeZ7Dw4cPNyEhIWbu3Llm27ZtZsiQIaZChQrm1KlTxphLn/sixhiTlZVlKlasaAYNGmR2795tFixYYFq1amUAM2PGDGOMyfHcbrebEydOmLS0NGOMMadPnzaAWbRoUY5+O3bsaHx9fU3Pnj1zLO/WrZvx9fU11113XXEfmlxBvvvuO+Pq6momTZpktm/fbkaMGGG8vb2d7/WjRo0ygwcPdrb/9ttvjYuLi/nggw9MfHy883HmzBlnm+XLlxubzWZee+01ExMTY1577TXj4uJiVq5cWeLHlx/FEYMXX3zR/Pbbb2bv3r1mw4YN5t577zUuLi5m1apVJX58+VXQOLz//vtm1qxZZteuXWbXrl3m888/N35+fua5555ztilr54IxxROHsnY+FDQGF8otp7oazoUL5RaH8n4ujB8/3syYMcPs2rXLbN261YwaNcoAZvr06c42V8O5kJ84lLVzwZiCxyE5OdmEhoaaW2+91Wzbts0sXrzY1KpVy9x///3ONmXxfCgM5VvKt7Ip31KulU35loPyLeVb2ZRvKdcqagWN5759+4yXl5d5/PHHzfbt282kSZOMq6ur+fHHH0vrEC5bceRfZVFxvNeUNcVxfSmLChqHyZMnGxcXF/Phhx+avXv3mmXLlpmWLVuaa665prQO4bIlJyebDRs2mA0bNhjAvP3222bDhg3mwIEDxpir49poTMHjUF6vjwWNw4XKw/WxoDEoquujirUkXwYOHGiCg4ONq6urCQkJMf379zfbtm275DYq1pLScuTIETNs2DATHh5u3NzcTLVq1UyfPn2chSoHDhwwffr0Md7e3sbX19fcdttt5ujRo87t81OstXPnTtOmTRvj6elpABMbG5vnOXz+/Hnz6KOPmkqVKhl3d3fTvn17s3r1aud6FWtJfsyfP9/Uq1fPuLu7m8aNG5vo6Og8i7UulFex1pgxYwxgXnvttRzLX375ZQOYl19+uRiORK5kH3zwgfPa2bx5c7N48WLnuiFDhuQobO3UqZMBLnoMGTIkR58//PCDqVOnjnF1dTV169bN8QfTK1FRx2DEiBGmevXqxs3NzQQFBZnu3bubFStWlOARFU5B4vDuu++aBg0aGC8vL+Pn52eaNWtmPvzwQ5OVlZWjz7J2LhhT9HEoi+dDQWJwobzy/vJ+LlwotziU93Ph9ddfNzVr1jQeHh6mQoUKpkOHDubXX3+9qM/yfi7kJw5l8VwwpuA/EzExMaZbt27G09PThIaGmieeeMKcO3cuR5uyeD4UhvIt5VvZlG8p18qmfMtB+ZbyrWzKt5RrFbWCxjM6Oto0a9bMuLm5mYiICPPRRx+V8IiLXnHkoGVRcbznljXFcX0piwoah3fffdfUr1/feHp6muDgYHPXXXeZQ4cOlfCoi07255J5/ZxfLdfGgsahvF4fC3M+/F15uD4WJgZFcX20GHOVzM8nIiIiIiIiIiIiIiIiIiIiIiJSiqz/3EREREREREREREREREREREREREQul4q1RERERERERERERERERERERERESoCKtUREREREREREREREREREREREREqAirVERERERERERERERERERERERERKgIq1RERERERERERERERERERERERESoCKtUREREREREREREREREREREREREqAirVERERERERERERERERERERERERKgIq1RERERERERERERERERERERERESoCKtUREcnHPPffQr1+/K6YfERERkbzMnDmTqKgobDYbI0aMKJZ9vPjiizRt2vSiZVWqVMFisTBz5sxi2W9pUh4nIiIioFyruCjXEhERuTrkJ5cqaL4zZcoUAgIC/rFdQfvNLScrKUePHuX666/H29s7X8cmImWfirVE5Ipzzz33YLFYsFgsuLq6UqNGDZ566inOnj1b2kPL0/79+7FYLGzcuDHH8gkTJjBlypRSGZOIiIgUv+PHj/PQQw9RvXp13N3dqVq1Kj169ODPP/90tomIiHDmNp6enkRERDBgwAAWLlxYJGN46KGHuPXWWzl48CAvv/xyrm0udwxPPfUUCxYscL6OiYnhpZdeYuLEicTHx3PDDTcQERHBO++8k6/+NmzYwMCBAwkODsbd3Z3w8HB69+7NL7/8gjEmX30UN+VxIiIipU+5lnItERERKbyykktl5zv5NXDgQHbt2uV8nVeRVUH7/SfZnwVmPypUqEDHjh1ZvHjxZfc9fvx44uPj2bhxY45jE5HyS8VaInJF6tmzJ/Hx8ezbt49XXnmFDz/8kKeeeqq0h1Vg/v7+qoAXEREpx2655RY2bdrEF198wa5du5g1axadO3fm1KlTOdqNHTuW+Ph4du7cyZdffklAQADdunXj1Vdfvaz9p6SkcPz4cXr06EFISAi+vr55ti3MGIwxZGZm4uPjQ8WKFZ3L9+7dC0Dfvn2pWrUq7u7u+R7zzz//TJs2bUhJSeGLL75g+/bt/PDDD/Tr14/nn3+exMTEfPdVnJTHiYiIlD7lWsq1REREpPDKSi5V0HzH09OTypUr/2O7gvabX3/88Qfx8fEsXrwYPz8/brzxRmJjY3Ntm5GRka8+9+7dS4sWLahVq1a+ju1y9iUiVwgjInKFGTJkiOnbt2+OZffff7+pWrWqSU1NNY8++qgJCgoy7u7upn379mb16tXOdosWLTKAmT17tmncuLFxd3c311xzjdm8ebOzzZgxY0yTJk1y9D9+/HgTHh6e5xjmzp1r2rdvb/z9/U1gYKDp1auX2bNnj3M9kOPRqVOnXPvJ7/j/+OMP06JFC+Pp6Wnatm1rduzY4WyzceNG07lzZ+Pj42N8fX1N8+bNzZo1awoQYRERESkKp0+fNoCJjo6+ZLvw8HAzfvz4i5aPHj3aWK3WHO/zFzp16pQZPHiwCQgIMJ6enqZnz55m165dxpi/8oa/PxYtWnRZY8ju87fffjMtWrQwrq6uZuHChTnypzFjxuSa+1y4LDcpKSmmYsWK5uabb87zmO12uzHGmMzMTDN06FATERFhPDw8TO3atc0777yTo22nTp3M8OHDcyzr27evGTJkiPP1Bx98YKKiooy7u7upXLmyueWWW5zrfvjhB9OwYUPj4eFhAgMDTdeuXU1KSooxpuD5YGxsrAHM9OnTTefOnY2np6dp3LixWbFiRZ7HKiIiInlTrqVcS7mWiIhI4ZWlXAowM2bMMMbk7z1/8uTJxt/f3/n8wv1Mnjz5on6NMebpp582tWrVMp6eniYyMtI8//zzJj093bk+t88P/y57bBs2bHAuO3TokAHMxx9/7NznRx99ZPr06WO8vLzM6NGjjTHGzJo1yzRv3ty4u7ubyMhI8+KLL5qMjAxjjOP/4O/jz861zpw5Yx544AETFBRkfH19TZcuXczGjRsvGu+kSZNMZGSksVgsxm6353u7L7/80oSHhxs/Pz8zcOBAk5SU5GyTlZVlXnvtNVOzZk3j5uZmwsLCzCuvvJLjuAcMGGACAgJMYGCg6dOnj4mNjc0zdiJyMc2sJSJlgqenJxkZGTz99NNMnz6dL774gvXr1xMVFUWPHj0u+hbAyJEjefPNN1mzZg2VK1emT58+l1VRfvbsWZ544gnWrFnDggULsFqt3HzzzdjtdgBWr14N/FVN/9NPP+XaT37H/9xzz/HWW2+xdu1aXFxcGDp0qHPdXXfdRWhoKGvWrGHdunWMGjUKV1fXQh+biIiIFI6Pjw8+Pj7MnDmTtLS0Am8/fPhwjDH8/PPPeba55557WLt2LbNmzeLPP//EGMONN95IRkYG7dq1Y+fOnQBMnz6d+Ph42rVrVyRjePrppxk3bhwxMTE0btw4x7qnnnqKyZMnA47p5LNzn9DQUOc3MePj43Pd37x580hISODpp5/Oc0wWiwUAu91OaGgo33//Pdu3b2f06NH8+9//5vvvv8/38a1du5bHHnuMsWPHsnPnTn777Tc6duzoHPsdd9zB0KFDiYmJITo6mv79++d5a6B/ygezPffcczz11FNs3LiR2rVrc8cdd5CZmZnvMYuIiIiDci3lWsq1RERECq+s51L5fc8fOHAgTz75JA0aNHDmSQMHDsy1T19fX6ZMmcL27duZMGECn376KePHj8/3mHLj5eUF5JzVasyYMfTt25ctW7YwdOhQfv/9dwYNGsRjjz3G9u3bmThxIlOmTHHOXLZmzRp69uzJgAEDiI+PZ8KECRhj6NWrF0ePHmXOnDmsW7eO5s2b07Vr1xyfKe7Zs4fvv/+e6dOns3HjRoB8bbd3715mzpzJ7NmzmT17NosXL+a1115zrn/22Wd5/fXXeeGFF9i+fTvffvstVapUAeDcuXN06dIFHx8flixZwrJly/Dx8aFnz56kp6dfVjxFriYupT0AEZF/snr1ar799lu6dOnCRx99xJQpU5z3mP7000+ZP38+kyZNYuTIkc5txowZw/XXXw/AF198QWhoKDNmzGDAgAGFGsMtt9yS4/WkSZOoXLky27dvp2HDhgQFBQFQsWJFqlatmmsfZ8+ezff4X331VTp16gTAqFGj6NWrF6mpqXh4eBAXF8fIkSOpW7cuALVq1SrUMYmIiMjlcXFxYcqUKTzwwAN8/PHHNG/enE6dOnH77bdf9KFbbgIDA6lcuTL79+/Pdf3u3buZNWsWy5cvd/4x65tvviEsLIyZM2dy2223OadFDwwMzDMHKcwYxo4d68ylLuTj4+O8Zc3f92mz2fD19b3kOHbt2gVAnTp1nMvWrFlDly5dnK+/++47evfujaurKy+99JJzeWRkJCtWrOD777/Pd04XFxeHt7c3vXv3xtfXl/DwcJo1awY4PkDMzMykf//+hIeHA9CoUaM8+/qnfDDbU089Ra9evQB46aWXaNCgAXv27HHmbiIiIpI/yrWUaynXEhERKbyynkvl9z3f09MTHx8fXFxc/nEfzz//vPN5REQETz75JNOmTbtkofulnD17lmeffRabzeb8TA/gzjvvzDEJw+DBgxk1ahRDhgwBoEaNGrz88ss8/fTTjBkzhqCgINzd3fH09HQew8KFC9myZQvHjx933srxzTffZObMmfz44488+OCDAKSnp/PVV185P6fM73Z2u50pU6Y4b005ePBgFixYwKuvvkpycjITJkzg/fffd465Zs2adOjQAXDkk1arlc8++8z5RYDJkycTEBBAdHQ03bt3L1Q8Ra42mllLRK5Is2fPxsfHBw8PD9q2bUvHjh159NFHycjIoH379s52rq6uXHPNNcTExOTYvm3bts7ngYGB1KlT56I2BbF3717uvPNOatSogZ+fH5GRkYDjj1IF6SO/4/97ohwcHAzA8ePHAXjiiSe4//776datG6+99hp79+4t9HGJiIjI5bnllls4cuQIs2bNokePHkRHR9O8eXOmTJmSr+2NMc4/alwoJiYGFxcXWrdu7VxWsWLFy85r8jOGli1bFln//6Rx48Zs3LiRjRs3cvbs2Rzfkvz4449p2bIlQUFB+Pj48OmnnxYo/7r++usJDw+nRo0aDB48mG+++YZz584B0KRJE7p27UqjRo247bbb+PTTTzl9+nSefeU3H7xUHiciIiIFo1zr8inXEhERuXqV5VyqON7zf/zxRzp06EDVqlXx8fHhhRdeKFDuk61du3b4+Pjg6+vLL7/8wpQpU3IUpV+Y661bt46xY8c6Zzvz8fHhgQceID4+3pk7XWjdunWkpKRQsWLFHNvFxsbm+FwwPDzcWahVkO0iIiKchVrgiHF2fGNiYkhLS6Nr1655jm3Pnj34+vo6+w8MDCQ1NVWfWYoUgIq1ROSK1KVLFzZu3MjOnTtJTU3lp59+wt/fH+CixPBSyeLfZbexWq0XTbn+T7dIvOmmm0hISODTTz9l1apVrFq1CqBA03lm7zM/4//7bQ3/Pj09wIsvvsi2bdvo1asXCxcupH79+syYMSPf4xAREZGi5eHhwfXXX8/o0aNZsWIF99xzD2PGjPnH7RISEjhx4oTzg6gL5XWLmPzmPvmR1xi8vb2LpP8LZc8Imj0NPoC7uztRUVFERUXlaPv999/z+OOPM3ToUObNm8fGjRu59957c+Rf/5TX+fr6sn79eqZOnUpwcDCjR4+mSZMmnDlzBpvNxvz585k7dy7169fnvffeo06dOsTGxuY69vzmg5fK40RERKTglGvln3ItERERuVBZzaWK+j1/5cqV3H777dxwww3Mnj2bDRs28NxzzxXqtn3Tpk1j06ZNnDhxgsOHDzNo0KAc6y/M9ex2Oy+99JKzgH7jxo1s2bKF3bt34+Hhkes+7HY7wcHBObbJ/tz073fqyW1f+dnu7/EFR4yz4+vp6XnJ47fb7bRo0eKifezatYs777zzktuKyF9UrCUiVyRvb2+ioqIIDw93JgxRUVG4ubmxbNkyZ7uMjAzWrl1LvXr1cmy/cuVK5/PTp0+za9cu59SoQUFBHD16NEcimX0f59wkJCQQExPD888/T9euXalXr95F3wR0c3MDICsrK89+CjL+f1K7dm0ef/xx5s2bR//+/Zk8eXKBthcREZHiU79+fc6ePfuP7SZMmIDVaqVfv3559pOZmen8oAocecmuXbsKnDsUdgwF4ebmdslcCKB79+4EBgby+uuv/2N/S5cupV27dvzrX/+iWbNmREVFXfTtvKCgIOLj452vs7Ky2Lp1a442Li4udOvWjTfeeIPNmzezf/9+Fi5cCDj+ENW+fXteeuklNmzYgJubW65F8PnJB0VERKRkKNfKm3ItERER+SdlKZfKr/zkScuXLyc8PJznnnuOli1bUqtWLQ4cOFCo/YWFhVGzZk0qVqyYr/bNmzdn586dzgL6vz+s1tzLNZo3b87Ro0dxcXG5aJtKlSpdcl+F2e7vatWqhaenJwsWLMhzH7t376Zy5coX7SN74g0R+WcupT0AEZH88vb25pFHHmHkyJEEBgZSvXp13njjDc6dO8d9992Xo+3YsWOpWLEiVapU4bnnnqNSpUrOhLJz586cOHGCN954g1tvvZXffvuNuXPn4ufnl+t+K1SoQMWKFfnkk08IDg4mLi6OUaNG5WhTuXJlPD09+e233wgNDcXDw+OihKQg48/L+fPnGTlyJLfeeiuRkZEcOnSINWvWcMstt+QziiIiIlJUEhISuO222xg6dCiNGzfG19eXtWvX8sYbb9C3b98cbZOTkzl69CgZGRnExsby9ddf89lnnzFu3LiLZjnIVqtWLfr27csDDzzAxIkT8fX1ZdSoUVSrVu2i/vOjMGMoiIiICJYsWcLtt9+Ou7t7rn8A8vHx4bPPPmPgwIH06tWLxx57jFq1apGSksJvv/0GgM1mAxyF7l9++SW///47kZGRfPXVV6xZsybHNzqvu+46nnjiCX799Vdq1qzJ+PHjOXPmjHP97Nmz2bdvHx07dqRChQrMmTMHu91OnTp1WLVqFQsWLKB79+5UrlyZVatWceLEiVz/oJiffFBERESKlnKtnJRriYiISEGUtVzqckRERBAbG8vGjRsJDQ3F19cXd3f3HG2ioqKIi4vju+++o1WrVvz6668ldtea0aNH07t3b8LCwrjtttuwWq1s3ryZLVu28Morr+S6Tbdu3Wjbti39+vXj9ddfp06dOhw5coQ5c+bQr1+/PG+rXdjt/s7Dw4NnnnmGp59+Gjc3N9q3b8+JEyfYtm0b9913H3fddRf//e9/6du3L2PHjiU0NJS4uDh++uknRo4cSWho6GXFS+RqoZm1RKRMee2117jlllsYPHgwzZs3Z8+ePfz+++9UqFDhonbDhw+nRYsWxMfHM2vWLOfsV/Xq1ePDDz/kgw8+oEmTJqxevZqnnnoqz31arVa+++471q1bR8OGDXn88cf573//m6ONi4sL7777LhMnTiQkJCTPRDS/48+LzWYjISGBu+++m9q1azNgwABuuOEGXnrppXxtLyIiIkXHx8eH1q1bM378eDp27EjDhg154YUXeOCBB3j//fdztB09ejTBwcFERUUxePBgEhMTWbBgAc8888wl9zF58mRatGhB7969adu2LcYY5syZc9FU5flR2DHk19ixY9m/fz81a9YkKCgoz3Y333wzK1aswMvLi7vvvps6depw3XXXsXDhQr777jt69+4NwMMPP0z//v0ZOHAgrVu3JiEhgX/96185+ho6dChDhgzh7rvvplOnTkRGRtKlSxfn+oCAAH766Seuu+466tWrx8cff8zUqVNp0KABfn5+LFmyhBtvvJHatWvz/PPP89Zbb3HDDTdcNOb85IMiIiJStJRr5aRcS0RERAqirOVSl+OWW26hZ8+edOnShaCgIKZOnXpRm759+/L444/zf//3fzRt2pQVK1bwwgsvlMj4evTowezZs5k/fz6tWrWiTZs2vP3224SHh+e5jcViYc6cOXTs2JGhQ4dSu3Ztbr/9dvbv30+VKlWKfLsLvfDCCzz55JOMHj2aevXqMXDgQI4fPw6Al5cXS5YsoXr16vTv35969eoxdOhQzp8/n+fEGCJyMYvJ64ayIiJlUHR0NF26dOH06dMEBASU9nBEREREREREREREREREREREnDSzloiIiIiIiIiIiIiIiIiIiIiISAlQsZaIiIiIiIiIiIiIiIiIiIiIiEgJ0G0QRURERERERERERERERERERERESoBm1hIRERERERERERERERERERERESkBKtYSEREREREREREREREREREREREpASrWEhERERERERERERERERERERERKQEq1hIRERERERERERERERERERERESkBKtYSEREREREREREREREREREREREpASrWEhERERERERERERERERERERERKQEq1hIRERERERERERERERERERERESkBKtYSEREREREREREREREREREREREpAf8PvRUVcvDPIzEAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 2400x600 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import importlib as imp\n",
    "imp.reload(sh)\n",
    "drug_fig, fd, sp = sh.plotResults(fit3, pd.Categorical(ser_drugs[\n",
    "  \"Drug Treatment\"]).categories, var1=\"BH\", var2=\"D\", var3=\"PHI\", Des1=\"SD of initial Preference\", Des2=\"SD of Drift Gaussian\", showallbivariateplots=True, check=False)\n",
    "drug_fig.savefig(\"5ht_Stan_drug_fig_includingPHI.pdf\", dpi=300)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, fd, sp = sh.plotResults(fit3, pd.Categorical(ser_drugs[\"Drug Treatment\"]).categories, var1=\"BH\", var2=\"D\", var3=\"PHI\", Des1=\"SD of initial Preference\", Des2=\"SD of Drift Gaussian\", check=False)\n",
    "fig.savefig(\"5ht_drugs_withphi.pdf\", dpi=300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#calculate q values (i.e posterior probability of difference with control being greater than 0)\n",
    "drugs_draw_pd=fit3.draws_pd()\n",
    "draws_trunc_columns=drugs_draw_pd.iloc[:,drugs_draw_pd.columns.isin([\"BH[1]\", \"BH[2]\", \"BH[3]\", \"D[1]\", \"D[2]\", \"D[3]\", \"PHI[1]\", \"PHI[2]\", \"PHI[3]\"])]\n",
    "draws_trunc_columns\n",
    "sns.violinplot(data=draws_trunc_columns)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Q values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "q value for D[1] and D[2] is 0.00012500000000004174(0.00038264062500004137 assuming independence)\n",
      "q value for D[1] and D[3] is 0.34075(0.33537253125 assuming independence)\n",
      "q value for D[2] and D[3] is 0.00025(0.0006601875 assuming independence)\n",
      "q value for BH[1] and BH[2] is 0.32325(0.323770734375 assuming independence)\n",
      "q value for BH[1] and BH[3] is 0.43575(0.43938509375 assuming independence)\n",
      "q value for BH[2] and BH[3] is 0.39312499999999995(0.38966807812500004 assuming independence)\n",
      "q value for PHI[1] and PHI[2] is 0.0(0.0 assuming independence)\n",
      "q value for PHI[1] and PHI[3] is 0.1975(0.200752546875 assuming independence)\n",
      "q value for PHI[2] and PHI[3] is 0.0(0.0 assuming independence)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.0"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#calculate q values (i.e posterior probability of difference with control being greater than 0)\n",
    "#create a matrix of pairwise differences between D[1] and [D2]\n",
    "#calculate the proportion of differences that are greater than 0\n",
    "#this is the q value\n",
    "#repeat for BH and PHI\n",
    "#this is the q value\n",
    "def calculateqvalue(draws_trunc_columns, varname, column1_index, column2_index):\n",
    "  d1_repmat=np.expand_dims(draws_trunc_columns[varname+\"[\"+str(column1_index)+\"]\"].to_numpy(), axis=1).repeat(len(draws_trunc_columns[varname+\"[\"+str(column2_index)+\"]\"]),axis=1)\n",
    "  d2_repmat=np.expand_dims(draws_trunc_columns[varname+\"[\"+str(column2_index)+\"]\"].to_numpy(), axis=1).repeat(len(draws_trunc_columns[varname+\"[\"+str(column1_index)+\"]\"]),axis=1)\n",
    "  q_ind=np.min([1-np.sum((d1_repmat-d2_repmat.T)>0)/(len(draws_trunc_columns[varname+\"[\"+str(column2_index)+\"]\"])**2), np.sum((d1_repmat-d2_repmat.T)>0)/(len(draws_trunc_columns[varname+\"[\"+str(column2_index)+\"]\"])**2)])\n",
    "  q=(draws_trunc_columns[varname+\"[\"+str(column1_index)+\"]\"].to_numpy()-draws_trunc_columns[varname+\"[\"+str(column2_index)+\"]\"].to_numpy()>0).sum()/len(draws_trunc_columns[varname+\"[\"+str(column2_index)+\"]\"])\n",
    "  q=np.min([q, 1-q])\n",
    "  print(\"q value for \"+varname+\"[\"+str(column1_index)+\"] and \"+varname+\"[\"+str(column2_index)+\"] is \"+str(q)+\"(\"+str(q_ind) +\" assuming independence)\")\n",
    "  return q\n",
    "\n",
    "calculateqvalue(draws_trunc_columns, \"D\", 1, 2)\n",
    "calculateqvalue(draws_trunc_columns, \"D\", 1, 3)\n",
    "calculateqvalue(draws_trunc_columns, \"D\", 2, 3)\n",
    "calculateqvalue(draws_trunc_columns, \"BH\", 1, 2)\n",
    "calculateqvalue(draws_trunc_columns, \"BH\", 1, 3)\n",
    "calculateqvalue(draws_trunc_columns, \"BH\", 2, 3)\n",
    "calculateqvalue(draws_trunc_columns, \"PHI\", 1, 2)\n",
    "calculateqvalue(draws_trunc_columns, \"PHI\", 1, 3)\n",
    "calculateqvalue(draws_trunc_columns, \"PHI\", 2, 3)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Serotonin Mutants"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "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>Unnamed: 0</th>\n",
       "      <th>Batch #</th>\n",
       "      <th>Fly ID</th>\n",
       "      <th>Date</th>\n",
       "      <th>Day</th>\n",
       "      <th>Drug Treatment</th>\n",
       "      <th>nTurns</th>\n",
       "      <th>rBias</th>\n",
       "      <th>uID</th>\n",
       "      <th>x</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>5/4</td>\n",
       "      <td>1</td>\n",
       "      <td>TrH</td>\n",
       "      <td>466</td>\n",
       "      <td>0.526882</td>\n",
       "      <td>20</td>\n",
       "      <td>246</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>5/4</td>\n",
       "      <td>1</td>\n",
       "      <td>TrH</td>\n",
       "      <td>500</td>\n",
       "      <td>0.442886</td>\n",
       "      <td>42</td>\n",
       "      <td>221</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>5/4</td>\n",
       "      <td>1</td>\n",
       "      <td>TrH</td>\n",
       "      <td>567</td>\n",
       "      <td>0.556537</td>\n",
       "      <td>64</td>\n",
       "      <td>316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>5/4</td>\n",
       "      <td>1</td>\n",
       "      <td>TrH</td>\n",
       "      <td>526</td>\n",
       "      <td>0.565714</td>\n",
       "      <td>86</td>\n",
       "      <td>298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>5/4</td>\n",
       "      <td>1</td>\n",
       "      <td>TrH</td>\n",
       "      <td>370</td>\n",
       "      <td>0.696477</td>\n",
       "      <td>108</td>\n",
       "      <td>258</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1723</th>\n",
       "      <td>1723</td>\n",
       "      <td>4</td>\n",
       "      <td>92</td>\n",
       "      <td>5/20</td>\n",
       "      <td>17</td>\n",
       "      <td>control</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>181</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1724</th>\n",
       "      <td>1724</td>\n",
       "      <td>4</td>\n",
       "      <td>93</td>\n",
       "      <td>5/20</td>\n",
       "      <td>17</td>\n",
       "      <td>control</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>183</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1725</th>\n",
       "      <td>1725</td>\n",
       "      <td>4</td>\n",
       "      <td>94</td>\n",
       "      <td>5/20</td>\n",
       "      <td>17</td>\n",
       "      <td>control</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>185</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1726</th>\n",
       "      <td>1726</td>\n",
       "      <td>4</td>\n",
       "      <td>95</td>\n",
       "      <td>5/20</td>\n",
       "      <td>17</td>\n",
       "      <td>control</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>187</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1727</th>\n",
       "      <td>1727</td>\n",
       "      <td>4</td>\n",
       "      <td>96</td>\n",
       "      <td>5/20</td>\n",
       "      <td>17</td>\n",
       "      <td>control</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>189</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1728 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Unnamed: 0  Batch #  Fly ID  Date  Day Drug Treatment  nTurns     rBias  \\\n",
       "0              0        4       1   5/4    1            TrH     466  0.526882   \n",
       "1              1        4       2   5/4    1            TrH     500  0.442886   \n",
       "2              2        4       3   5/4    1            TrH     567  0.556537   \n",
       "3              3        4       4   5/4    1            TrH     526  0.565714   \n",
       "4              4        4       5   5/4    1            TrH     370  0.696477   \n",
       "...          ...      ...     ...   ...  ...            ...     ...       ...   \n",
       "1723        1723        4      92  5/20   17        control      -1       NaN   \n",
       "1724        1724        4      93  5/20   17        control      -1       NaN   \n",
       "1725        1725        4      94  5/20   17        control      -1       NaN   \n",
       "1726        1726        4      95  5/20   17        control      -1       NaN   \n",
       "1727        1727        4      96  5/20   17        control      -1       NaN   \n",
       "\n",
       "      uID    x  \n",
       "0      20  246  \n",
       "1      42  221  \n",
       "2      64  316  \n",
       "3      86  298  \n",
       "4     108  258  \n",
       "...   ...  ...  \n",
       "1723  181    0  \n",
       "1724  183    0  \n",
       "1725  185    0  \n",
       "1726  187    0  \n",
       "1727  189    0  \n",
       "\n",
       "[1728 rows x 10 columns]"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "serotonin_mutants"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'N': 192,\n",
       " 'S': 2,\n",
       " 'T': 18,\n",
       " 's': array([1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2,\n",
       "        1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2,\n",
       "        1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2,\n",
       "        1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2,\n",
       "        1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2,\n",
       "        1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2,\n",
       "        1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2,\n",
       "        1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2,\n",
       "        1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2], dtype=int8),\n",
       " 'fly_i_obs': 0        21\n",
       " 1        43\n",
       " 2        65\n",
       " 3        87\n",
       " 4       109\n",
       "        ... \n",
       " 1714    162\n",
       " 1716    166\n",
       " 1718    170\n",
       " 1719    172\n",
       " 1721    178\n",
       " Name: uID, Length: 1293, dtype: int16,\n",
       " 'time_i_obs': array([ 2,  2,  2, ..., 18, 18, 18]),\n",
       " 't_obs': 1293,\n",
       " 'x_obs': array([246, 221, 316, ...,  10,  16,   8]),\n",
       " 'n_obs': array([467, 501, 568, ...,  25,  30,  22]),\n",
       " 'fly_i_mis': array([ 33, 149, 181, ..., 192, 192, 192]),\n",
       " 'time_i_mis': array([ 2,  2,  2, ..., 13, 14, 15]),\n",
       " 't_mis': 2163}"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mutant_stan_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "16:28:29 - cmdstanpy - INFO - CmdStan start processing\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "74642d6e4693463bb264a1dab1210da7",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "chain 1 |          | 00:00 Status"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "731b4094ef114860a07880e88846c0a0",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "chain 2 |          | 00:00 Status"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "959d8fedc1fd471b8cc12cba8eda231a",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "chain 3 |          | 00:00 Status"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "874ebe958305430eb03bb844ef43c0ac",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "chain 4 |          | 00:00 Status"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                                                                                                                                                                                                                                                                                                                                "
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "16:28:53 - cmdstanpy - INFO - CmdStan done processing.\n",
      "16:28:53 - cmdstanpy - WARNING - Non-fatal error during sampling:\n",
      "Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/var/folders/s_/7_g1r1fs2wdcxn113q39_gzw0000gn/T/tmp7r9smqxq/tmpnejj9hgt.stan', line 74, column 8 to column 34)\n",
      "Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/var/folders/s_/7_g1r1fs2wdcxn113q39_gzw0000gn/T/tmp7r9smqxq/tmpnejj9hgt.stan', line 74, column 8 to column 34)\n",
      "\tException: normal_lpdf: Scale parameter is 0, but must be positive! (in '/var/folders/s_/7_g1r1fs2wdcxn113q39_gzw0000gn/T/tmp7r9smqxq/tmpnejj9hgt.stan', line 78, column 10 to column 51)\n",
      "Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/var/folders/s_/7_g1r1fs2wdcxn113q39_gzw0000gn/T/tmp7r9smqxq/tmpnejj9hgt.stan', line 74, column 8 to column 34)\n",
      "Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/var/folders/s_/7_g1r1fs2wdcxn113q39_gzw0000gn/T/tmp7r9smqxq/tmpnejj9hgt.stan', line 74, column 8 to column 34)\n",
      "Consider re-running with show_console=True if the above output is unclear!\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "fit_mutant = model3.sample(data=mutant_stan_dict,\n",
    "#  show_console=True,\n",
    "#  adapt_delta=0.999,\n",
    " \n",
    "  iter_sampling=2000)"
   ]
  }
 ],
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