diff --git a/climada/util/calibrate/base.py b/climada/util/calibrate/base.py index 13cb8efd4..73c4b583b 100644 --- a/climada/util/calibrate/base.py +++ b/climada/util/calibrate/base.py @@ -8,6 +8,7 @@ import pandas as pd import numpy as np from scipy.optimize import Bounds, LinearConstraint, NonlinearConstraint +import matplotlib.pyplot as plt import seaborn as sns from climada.hazard import Hazard @@ -157,6 +158,80 @@ def plot_impf_set(self, **plot_kwargs): :py:meth:`~climada.entity.impact_funcs.impact_func_set.ImpactFuncSet.plot` """ return self.impf_set.plot(**plot_kwargs) + + def plot_impf_variability( + self, + cost_func_diff: float = 0.1, + p_space_df: Optional[pd.DataFrame] = None, + plot_haz: bool = False, + haz_vals: Optional[np.array] = None, + **plot_kwargs + ): + """Plot impact function variability with parameter combinations of almost equal + cost function values + + Args: + cost_func_diff (float, optional): Max deviation from optimal cost function value + (as fraction). Defaults to 0.1 (i.e. 10%). + p_space_df (pd.DataFrame, optional): parameter space. Defaults to None. + plot_haz (bool, optional): Whether or not to plot hazard intensity distibution. + Defaults to False. + haz_vals (np.array, optional): Hazard values at exposure points (if + pre-calculated). Defaults to None. + """ + haz_type = self.input.hazard.haz_type + if p_space_df is None: + p_space_df = self.output.p_space_to_dataframe() + + # Ignore cost dimension + params = p_space_df.columns.tolist() + try: + params.remove('Cost Function') #Hardcoded name i.o.? + except ValueError: + pass + + #determine cost function values within 'cost_func_diff' % of best estimate + max_cost_func_val = p_space_df['Cost Function'].min()*(1+cost_func_diff) + params_within_range = p_space_df.loc[p_space_df['Cost Function']<=max_cost_func_val, + params] + + # Initialize figure + fig,ax = plt.subplots() + + #Plot best-fit impact function + best_impf = self.impf_set.get_func(haz_type=haz_type)[0] + ax.plot(best_impf.intensity,best_impf.mdd*best_impf.paa*100,color='tab:blue', + lw=3,zorder=2,label='best fit') + + #Plot all impact functions within 'cost_func_diff' % of best estimate + for row in range(params_within_range.shape[0]): + label = f'within {int(cost_func_diff*100)} percent of best fit' if row==0 else None + + sel_params = params_within_range.iloc[row,:].to_dict() + temp_impf_set = self.input.impact_func_creator(**sel_params) + temp_impf = temp_impf_set.get_func(haz_type=haz_type)[0] + + ax.plot(temp_impf.intensity,temp_impf.mdd*temp_impf.paa*100,color='grey', + alpha=0.4,label=label) + + # Plot hazard intensity value distributions + if plot_haz: + if haz_vals is None: + haz_vals = self.input.hazard.intensity[:,self.input.exposure.gdf[f"centr_{haz_type}"]] + + ax2 = ax.twinx() + ax2.hist(haz_vals[haz_vals.nonzero()].getA1(),bins=40,color='tab:orange', + alpha=0.3,label='Hazard intensity\noccurence') + ax2.set(ylabel='Hazard intensity occurence (#Exposure points)') + ax.axvline(x=haz_vals.max(),label='Maximum hazard value',color='tab:orange') + ax2.legend(loc='lower right') + + ax.set(xlabel=f"Intensity ({self.input.hazard.units})", + ylabel="Mean Damage Ratio (MDR) in %", + xlim=(min(best_impf.intensity),max(best_impf.intensity))) + ax.legend() + return ax + def plot_at_event( self, diff --git a/doc/tutorial/climada_util_calibrate.ipynb b/doc/tutorial/climada_util_calibrate.ipynb index 14f7ae78e..6651a99fe 100644 --- a/doc/tutorial/climada_util_calibrate.ipynb +++ b/doc/tutorial/climada_util_calibrate.ipynb @@ -23,6 +23,8 @@ "metadata": {}, "outputs": [], "source": [ + "%load_ext autoreload\n", + "%autoreload 2\n", "import logging\n", "import climada\n", "\n", @@ -1387,56 +1389,7 @@ "cell_type": "code", "execution_count": 4, "metadata": {}, - "outputs": [ - { - "ename": "type", - "evalue": "HTTPSConnectionPool(host='api.worldbank.org', port=443): Read timed out. (read timeout=30)", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mtimeout\u001b[0m Traceback (most recent call last)", - "File \u001b[0;32m~/mambaforge/envs/climada_env_3.9/lib/python3.9/site-packages/urllib3/connectionpool.py:386\u001b[0m, in \u001b[0;36mHTTPConnectionPool._make_request\u001b[0;34m(self, conn, method, url, timeout, chunked, **httplib_request_kw)\u001b[0m\n\u001b[1;32m 385\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[0;32m--> 386\u001b[0m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_validate_conn(conn)\n\u001b[1;32m 387\u001b[0m \u001b[39mexcept\u001b[39;00m (SocketTimeout, BaseSSLError) \u001b[39mas\u001b[39;00m e:\n\u001b[1;32m 388\u001b[0m \u001b[39m# Py2 raises this as a BaseSSLError, Py3 raises it as socket timeout.\u001b[39;00m\n", - "File \u001b[0;32m~/mambaforge/envs/climada_env_3.9/lib/python3.9/site-packages/urllib3/connectionpool.py:1042\u001b[0m, in \u001b[0;36mHTTPSConnectionPool._validate_conn\u001b[0;34m(self, conn)\u001b[0m\n\u001b[1;32m 1041\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mgetattr\u001b[39m(conn, \u001b[39m\"\u001b[39m\u001b[39msock\u001b[39m\u001b[39m\"\u001b[39m, \u001b[39mNone\u001b[39;00m): \u001b[39m# AppEngine might not have `.sock`\u001b[39;00m\n\u001b[0;32m-> 1042\u001b[0m conn\u001b[39m.\u001b[39;49mconnect()\n\u001b[1;32m 1044\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m conn\u001b[39m.\u001b[39mis_verified:\n", - "File \u001b[0;32m~/mambaforge/envs/climada_env_3.9/lib/python3.9/site-packages/urllib3/connection.py:419\u001b[0m, in \u001b[0;36mHTTPSConnection.connect\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 417\u001b[0m context\u001b[39m.\u001b[39mload_default_certs()\n\u001b[0;32m--> 419\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39msock \u001b[39m=\u001b[39m ssl_wrap_socket(\n\u001b[1;32m 420\u001b[0m sock\u001b[39m=\u001b[39;49mconn,\n\u001b[1;32m 421\u001b[0m keyfile\u001b[39m=\u001b[39;49m\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mkey_file,\n\u001b[1;32m 422\u001b[0m certfile\u001b[39m=\u001b[39;49m\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mcert_file,\n\u001b[1;32m 423\u001b[0m key_password\u001b[39m=\u001b[39;49m\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mkey_password,\n\u001b[1;32m 424\u001b[0m ca_certs\u001b[39m=\u001b[39;49m\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mca_certs,\n\u001b[1;32m 425\u001b[0m ca_cert_dir\u001b[39m=\u001b[39;49m\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mca_cert_dir,\n\u001b[1;32m 426\u001b[0m ca_cert_data\u001b[39m=\u001b[39;49m\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mca_cert_data,\n\u001b[1;32m 427\u001b[0m server_hostname\u001b[39m=\u001b[39;49mserver_hostname,\n\u001b[1;32m 428\u001b[0m ssl_context\u001b[39m=\u001b[39;49mcontext,\n\u001b[1;32m 429\u001b[0m tls_in_tls\u001b[39m=\u001b[39;49mtls_in_tls,\n\u001b[1;32m 430\u001b[0m )\n\u001b[1;32m 432\u001b[0m \u001b[39m# If we're using all defaults and the connection\u001b[39;00m\n\u001b[1;32m 433\u001b[0m \u001b[39m# is TLSv1 or TLSv1.1 we throw a DeprecationWarning\u001b[39;00m\n\u001b[1;32m 434\u001b[0m \u001b[39m# for the host.\u001b[39;00m\n", - "File \u001b[0;32m~/mambaforge/envs/climada_env_3.9/lib/python3.9/site-packages/urllib3/util/ssl_.py:449\u001b[0m, in \u001b[0;36mssl_wrap_socket\u001b[0;34m(sock, keyfile, certfile, cert_reqs, ca_certs, server_hostname, ssl_version, ciphers, ssl_context, ca_cert_dir, key_password, ca_cert_data, tls_in_tls)\u001b[0m\n\u001b[1;32m 448\u001b[0m \u001b[39mif\u001b[39;00m send_sni:\n\u001b[0;32m--> 449\u001b[0m ssl_sock \u001b[39m=\u001b[39m _ssl_wrap_socket_impl(\n\u001b[1;32m 450\u001b[0m sock, context, tls_in_tls, server_hostname\u001b[39m=\u001b[39;49mserver_hostname\n\u001b[1;32m 451\u001b[0m )\n\u001b[1;32m 452\u001b[0m \u001b[39melse\u001b[39;00m:\n", - "File \u001b[0;32m~/mambaforge/envs/climada_env_3.9/lib/python3.9/site-packages/urllib3/util/ssl_.py:493\u001b[0m, in \u001b[0;36m_ssl_wrap_socket_impl\u001b[0;34m(sock, ssl_context, tls_in_tls, server_hostname)\u001b[0m\n\u001b[1;32m 492\u001b[0m \u001b[39mif\u001b[39;00m server_hostname:\n\u001b[0;32m--> 493\u001b[0m \u001b[39mreturn\u001b[39;00m ssl_context\u001b[39m.\u001b[39;49mwrap_socket(sock, server_hostname\u001b[39m=\u001b[39;49mserver_hostname)\n\u001b[1;32m 494\u001b[0m \u001b[39melse\u001b[39;00m:\n", - "File \u001b[0;32m~/mambaforge/envs/climada_env_3.9/lib/python3.9/ssl.py:501\u001b[0m, in \u001b[0;36mSSLContext.wrap_socket\u001b[0;34m(self, sock, server_side, do_handshake_on_connect, suppress_ragged_eofs, server_hostname, session)\u001b[0m\n\u001b[1;32m 495\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mwrap_socket\u001b[39m(\u001b[39mself\u001b[39m, sock, server_side\u001b[39m=\u001b[39m\u001b[39mFalse\u001b[39;00m,\n\u001b[1;32m 496\u001b[0m do_handshake_on_connect\u001b[39m=\u001b[39m\u001b[39mTrue\u001b[39;00m,\n\u001b[1;32m 497\u001b[0m suppress_ragged_eofs\u001b[39m=\u001b[39m\u001b[39mTrue\u001b[39;00m,\n\u001b[1;32m 498\u001b[0m server_hostname\u001b[39m=\u001b[39m\u001b[39mNone\u001b[39;00m, session\u001b[39m=\u001b[39m\u001b[39mNone\u001b[39;00m):\n\u001b[1;32m 499\u001b[0m \u001b[39m# SSLSocket class handles server_hostname encoding before it calls\u001b[39;00m\n\u001b[1;32m 500\u001b[0m \u001b[39m# ctx._wrap_socket()\u001b[39;00m\n\u001b[0;32m--> 501\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49msslsocket_class\u001b[39m.\u001b[39;49m_create(\n\u001b[1;32m 502\u001b[0m sock\u001b[39m=\u001b[39;49msock,\n\u001b[1;32m 503\u001b[0m server_side\u001b[39m=\u001b[39;49mserver_side,\n\u001b[1;32m 504\u001b[0m do_handshake_on_connect\u001b[39m=\u001b[39;49mdo_handshake_on_connect,\n\u001b[1;32m 505\u001b[0m suppress_ragged_eofs\u001b[39m=\u001b[39;49msuppress_ragged_eofs,\n\u001b[1;32m 506\u001b[0m server_hostname\u001b[39m=\u001b[39;49mserver_hostname,\n\u001b[1;32m 507\u001b[0m context\u001b[39m=\u001b[39;49m\u001b[39mself\u001b[39;49m,\n\u001b[1;32m 508\u001b[0m session\u001b[39m=\u001b[39;49msession\n\u001b[1;32m 509\u001b[0m )\n", - "File \u001b[0;32m~/mambaforge/envs/climada_env_3.9/lib/python3.9/ssl.py:1041\u001b[0m, in \u001b[0;36mSSLSocket._create\u001b[0;34m(cls, sock, server_side, do_handshake_on_connect, suppress_ragged_eofs, server_hostname, context, session)\u001b[0m\n\u001b[1;32m 1040\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mValueError\u001b[39;00m(\u001b[39m\"\u001b[39m\u001b[39mdo_handshake_on_connect should not be specified for non-blocking sockets\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[0;32m-> 1041\u001b[0m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mdo_handshake()\n\u001b[1;32m 1042\u001b[0m \u001b[39mexcept\u001b[39;00m (\u001b[39mOSError\u001b[39;00m, \u001b[39mValueError\u001b[39;00m):\n", - "File \u001b[0;32m~/mambaforge/envs/climada_env_3.9/lib/python3.9/ssl.py:1310\u001b[0m, in \u001b[0;36mSSLSocket.do_handshake\u001b[0;34m(self, block)\u001b[0m\n\u001b[1;32m 1309\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39msettimeout(\u001b[39mNone\u001b[39;00m)\n\u001b[0;32m-> 1310\u001b[0m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_sslobj\u001b[39m.\u001b[39;49mdo_handshake()\n\u001b[1;32m 1311\u001b[0m \u001b[39mfinally\u001b[39;00m:\n", - "\u001b[0;31mtimeout\u001b[0m: _ssl.c:1112: The handshake operation timed out", - "\nDuring handling of the above exception, another exception occurred:\n", - "\u001b[0;31mReadTimeoutError\u001b[0m Traceback (most recent call last)", - "File \u001b[0;32m~/mambaforge/envs/climada_env_3.9/lib/python3.9/site-packages/requests/adapters.py:489\u001b[0m, in \u001b[0;36mHTTPAdapter.send\u001b[0;34m(self, request, stream, timeout, verify, cert, proxies)\u001b[0m\n\u001b[1;32m 488\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m chunked:\n\u001b[0;32m--> 489\u001b[0m resp \u001b[39m=\u001b[39m conn\u001b[39m.\u001b[39;49murlopen(\n\u001b[1;32m 490\u001b[0m method\u001b[39m=\u001b[39;49mrequest\u001b[39m.\u001b[39;49mmethod,\n\u001b[1;32m 491\u001b[0m url\u001b[39m=\u001b[39;49murl,\n\u001b[1;32m 492\u001b[0m body\u001b[39m=\u001b[39;49mrequest\u001b[39m.\u001b[39;49mbody,\n\u001b[1;32m 493\u001b[0m headers\u001b[39m=\u001b[39;49mrequest\u001b[39m.\u001b[39;49mheaders,\n\u001b[1;32m 494\u001b[0m redirect\u001b[39m=\u001b[39;49m\u001b[39mFalse\u001b[39;49;00m,\n\u001b[1;32m 495\u001b[0m assert_same_host\u001b[39m=\u001b[39;49m\u001b[39mFalse\u001b[39;49;00m,\n\u001b[1;32m 496\u001b[0m preload_content\u001b[39m=\u001b[39;49m\u001b[39mFalse\u001b[39;49;00m,\n\u001b[1;32m 497\u001b[0m decode_content\u001b[39m=\u001b[39;49m\u001b[39mFalse\u001b[39;49;00m,\n\u001b[1;32m 498\u001b[0m retries\u001b[39m=\u001b[39;49m\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mmax_retries,\n\u001b[1;32m 499\u001b[0m timeout\u001b[39m=\u001b[39;49mtimeout,\n\u001b[1;32m 500\u001b[0m )\n\u001b[1;32m 502\u001b[0m \u001b[39m# Send the request.\u001b[39;00m\n\u001b[1;32m 503\u001b[0m \u001b[39melse\u001b[39;00m:\n", - "File \u001b[0;32m~/mambaforge/envs/climada_env_3.9/lib/python3.9/site-packages/urllib3/connectionpool.py:787\u001b[0m, in \u001b[0;36mHTTPConnectionPool.urlopen\u001b[0;34m(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw)\u001b[0m\n\u001b[1;32m 785\u001b[0m e \u001b[39m=\u001b[39m ProtocolError(\u001b[39m\"\u001b[39m\u001b[39mConnection aborted.\u001b[39m\u001b[39m\"\u001b[39m, e)\n\u001b[0;32m--> 787\u001b[0m retries \u001b[39m=\u001b[39m retries\u001b[39m.\u001b[39;49mincrement(\n\u001b[1;32m 788\u001b[0m method, url, error\u001b[39m=\u001b[39;49me, _pool\u001b[39m=\u001b[39;49m\u001b[39mself\u001b[39;49m, _stacktrace\u001b[39m=\u001b[39;49msys\u001b[39m.\u001b[39;49mexc_info()[\u001b[39m2\u001b[39;49m]\n\u001b[1;32m 789\u001b[0m )\n\u001b[1;32m 790\u001b[0m retries\u001b[39m.\u001b[39msleep()\n", - "File \u001b[0;32m~/mambaforge/envs/climada_env_3.9/lib/python3.9/site-packages/urllib3/util/retry.py:550\u001b[0m, in \u001b[0;36mRetry.increment\u001b[0;34m(self, method, url, response, error, _pool, _stacktrace)\u001b[0m\n\u001b[1;32m 549\u001b[0m \u001b[39mif\u001b[39;00m read \u001b[39mis\u001b[39;00m \u001b[39mFalse\u001b[39;00m \u001b[39mor\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_is_method_retryable(method):\n\u001b[0;32m--> 550\u001b[0m \u001b[39mraise\u001b[39;00m six\u001b[39m.\u001b[39;49mreraise(\u001b[39mtype\u001b[39;49m(error), error, _stacktrace)\n\u001b[1;32m 551\u001b[0m \u001b[39melif\u001b[39;00m read \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n", - "File \u001b[0;32m~/mambaforge/envs/climada_env_3.9/lib/python3.9/site-packages/urllib3/packages/six.py:770\u001b[0m, in \u001b[0;36mreraise\u001b[0;34m(tp, value, tb)\u001b[0m\n\u001b[1;32m 769\u001b[0m \u001b[39mraise\u001b[39;00m value\u001b[39m.\u001b[39mwith_traceback(tb)\n\u001b[0;32m--> 770\u001b[0m \u001b[39mraise\u001b[39;00m value\n\u001b[1;32m 771\u001b[0m \u001b[39mfinally\u001b[39;00m:\n", - "File \u001b[0;32m~/mambaforge/envs/climada_env_3.9/lib/python3.9/site-packages/urllib3/connectionpool.py:703\u001b[0m, in \u001b[0;36mHTTPConnectionPool.urlopen\u001b[0;34m(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw)\u001b[0m\n\u001b[1;32m 702\u001b[0m \u001b[39m# Make the request on the httplib connection object.\u001b[39;00m\n\u001b[0;32m--> 703\u001b[0m httplib_response \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_make_request(\n\u001b[1;32m 704\u001b[0m conn,\n\u001b[1;32m 705\u001b[0m method,\n\u001b[1;32m 706\u001b[0m url,\n\u001b[1;32m 707\u001b[0m timeout\u001b[39m=\u001b[39;49mtimeout_obj,\n\u001b[1;32m 708\u001b[0m body\u001b[39m=\u001b[39;49mbody,\n\u001b[1;32m 709\u001b[0m headers\u001b[39m=\u001b[39;49mheaders,\n\u001b[1;32m 710\u001b[0m chunked\u001b[39m=\u001b[39;49mchunked,\n\u001b[1;32m 711\u001b[0m )\n\u001b[1;32m 713\u001b[0m \u001b[39m# If we're going to release the connection in ``finally:``, then\u001b[39;00m\n\u001b[1;32m 714\u001b[0m \u001b[39m# the response doesn't need to know about the connection. Otherwise\u001b[39;00m\n\u001b[1;32m 715\u001b[0m \u001b[39m# it will also try to release it and we'll have a double-release\u001b[39;00m\n\u001b[1;32m 716\u001b[0m \u001b[39m# mess.\u001b[39;00m\n", - "File \u001b[0;32m~/mambaforge/envs/climada_env_3.9/lib/python3.9/site-packages/urllib3/connectionpool.py:389\u001b[0m, in \u001b[0;36mHTTPConnectionPool._make_request\u001b[0;34m(self, conn, method, url, timeout, chunked, **httplib_request_kw)\u001b[0m\n\u001b[1;32m 387\u001b[0m \u001b[39mexcept\u001b[39;00m (SocketTimeout, BaseSSLError) \u001b[39mas\u001b[39;00m e:\n\u001b[1;32m 388\u001b[0m \u001b[39m# Py2 raises this as a BaseSSLError, Py3 raises it as socket timeout.\u001b[39;00m\n\u001b[0;32m--> 389\u001b[0m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_raise_timeout(err\u001b[39m=\u001b[39;49me, url\u001b[39m=\u001b[39;49murl, timeout_value\u001b[39m=\u001b[39;49mconn\u001b[39m.\u001b[39;49mtimeout)\n\u001b[1;32m 390\u001b[0m \u001b[39mraise\u001b[39;00m\n", - "File \u001b[0;32m~/mambaforge/envs/climada_env_3.9/lib/python3.9/site-packages/urllib3/connectionpool.py:340\u001b[0m, in \u001b[0;36mHTTPConnectionPool._raise_timeout\u001b[0;34m(self, err, url, timeout_value)\u001b[0m\n\u001b[1;32m 339\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39misinstance\u001b[39m(err, SocketTimeout):\n\u001b[0;32m--> 340\u001b[0m \u001b[39mraise\u001b[39;00m ReadTimeoutError(\n\u001b[1;32m 341\u001b[0m \u001b[39mself\u001b[39m, url, \u001b[39m\"\u001b[39m\u001b[39mRead timed out. (read timeout=\u001b[39m\u001b[39m%s\u001b[39;00m\u001b[39m)\u001b[39m\u001b[39m\"\u001b[39m \u001b[39m%\u001b[39m timeout_value\n\u001b[1;32m 342\u001b[0m )\n\u001b[1;32m 344\u001b[0m \u001b[39m# See the above comment about EAGAIN in Python 3. In Python 2 we have\u001b[39;00m\n\u001b[1;32m 345\u001b[0m \u001b[39m# to specifically catch it and throw the timeout error\u001b[39;00m\n", - "\u001b[0;31mReadTimeoutError\u001b[0m: HTTPSConnectionPool(host='api.worldbank.org', port=443): Read timed out. (read timeout=30)", - "\nDuring handling of the above exception, another exception occurred:\n", - "\u001b[0;31mReadTimeout\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[4], line 6\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[39m# Calculate the exposure\u001b[39;00m\n\u001b[1;32m 5\u001b[0m \u001b[39mwith\u001b[39;00m log_level(\u001b[39m\"\u001b[39m\u001b[39mERROR\u001b[39m\u001b[39m\"\u001b[39m):\n\u001b[0;32m----> 6\u001b[0m exposure \u001b[39m=\u001b[39m LitPop\u001b[39m.\u001b[39;49mfrom_countries(data\u001b[39m.\u001b[39;49mcolumns\u001b[39m.\u001b[39;49mtolist())\n", - "File \u001b[0;32m~/coding/climada_python/climada/entity/exposures/litpop/litpop.py:165\u001b[0m, in \u001b[0;36mLitPop.from_countries\u001b[0;34m(cls, countries, res_arcsec, exponents, fin_mode, total_values, admin1_calc, reference_year, gpw_version, data_dir)\u001b[0m\n\u001b[1;32m 155\u001b[0m litpop_list \u001b[39m=\u001b[39m [_calc_admin1_one_country(country, res_arcsec, exponents,\n\u001b[1;32m 156\u001b[0m fin_mode, tot_value, reference_year,\n\u001b[1;32m 157\u001b[0m gpw_version, data_dir,\n\u001b[1;32m 158\u001b[0m )\n\u001b[1;32m 159\u001b[0m \u001b[39mfor\u001b[39;00m tot_value, country \u001b[39min\u001b[39;00m \u001b[39mzip\u001b[39m(total_values, countries)]\n\u001b[1;32m 161\u001b[0m \u001b[39melse\u001b[39;00m: \u001b[39m# else, as default, country is initiated as a whole:\u001b[39;00m\n\u001b[1;32m 162\u001b[0m \u001b[39m# loop over countries: litpop is initiated for each individual polygon\u001b[39;00m\n\u001b[1;32m 163\u001b[0m \u001b[39m# within each country and combined at the end.\u001b[39;00m\n\u001b[1;32m 164\u001b[0m litpop_list \u001b[39m=\u001b[39m \\\n\u001b[0;32m--> 165\u001b[0m [\u001b[39mcls\u001b[39m\u001b[39m.\u001b[39m_from_country(country,\n\u001b[1;32m 166\u001b[0m res_arcsec\u001b[39m=\u001b[39mres_arcsec,\n\u001b[1;32m 167\u001b[0m exponents\u001b[39m=\u001b[39mexponents,\n\u001b[1;32m 168\u001b[0m fin_mode\u001b[39m=\u001b[39mfin_mode,\n\u001b[1;32m 169\u001b[0m total_value\u001b[39m=\u001b[39mtotal_values[idc],\n\u001b[1;32m 170\u001b[0m reference_year\u001b[39m=\u001b[39mreference_year,\n\u001b[1;32m 171\u001b[0m gpw_version\u001b[39m=\u001b[39mgpw_version,\n\u001b[1;32m 172\u001b[0m data_dir\u001b[39m=\u001b[39mdata_dir)\n\u001b[1;32m 173\u001b[0m \u001b[39mfor\u001b[39;00m idc, country \u001b[39min\u001b[39;00m \u001b[39menumerate\u001b[39m(countries)]\n\u001b[1;32m 174\u001b[0m \u001b[39m# make lists of countries with Exposure initaited and those ignored:\u001b[39;00m\n\u001b[1;32m 175\u001b[0m countries_in \u001b[39m=\u001b[39m \\\n\u001b[1;32m 176\u001b[0m [country \u001b[39mfor\u001b[39;00m lp, country \u001b[39min\u001b[39;00m \u001b[39mzip\u001b[39m(litpop_list, countries) \u001b[39mif\u001b[39;00m lp \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m]\n", - "File \u001b[0;32m~/coding/climada_python/climada/entity/exposures/litpop/litpop.py:165\u001b[0m, in \u001b[0;36m\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m 155\u001b[0m litpop_list \u001b[39m=\u001b[39m [_calc_admin1_one_country(country, res_arcsec, exponents,\n\u001b[1;32m 156\u001b[0m fin_mode, tot_value, reference_year,\n\u001b[1;32m 157\u001b[0m gpw_version, data_dir,\n\u001b[1;32m 158\u001b[0m )\n\u001b[1;32m 159\u001b[0m \u001b[39mfor\u001b[39;00m tot_value, country \u001b[39min\u001b[39;00m \u001b[39mzip\u001b[39m(total_values, countries)]\n\u001b[1;32m 161\u001b[0m \u001b[39melse\u001b[39;00m: \u001b[39m# else, as default, country is initiated as a whole:\u001b[39;00m\n\u001b[1;32m 162\u001b[0m \u001b[39m# loop over countries: litpop is initiated for each individual polygon\u001b[39;00m\n\u001b[1;32m 163\u001b[0m \u001b[39m# within each country and combined at the end.\u001b[39;00m\n\u001b[1;32m 164\u001b[0m litpop_list \u001b[39m=\u001b[39m \\\n\u001b[0;32m--> 165\u001b[0m [\u001b[39mcls\u001b[39;49m\u001b[39m.\u001b[39;49m_from_country(country,\n\u001b[1;32m 166\u001b[0m res_arcsec\u001b[39m=\u001b[39;49mres_arcsec,\n\u001b[1;32m 167\u001b[0m exponents\u001b[39m=\u001b[39;49mexponents,\n\u001b[1;32m 168\u001b[0m fin_mode\u001b[39m=\u001b[39;49mfin_mode,\n\u001b[1;32m 169\u001b[0m total_value\u001b[39m=\u001b[39;49mtotal_values[idc],\n\u001b[1;32m 170\u001b[0m reference_year\u001b[39m=\u001b[39;49mreference_year,\n\u001b[1;32m 171\u001b[0m gpw_version\u001b[39m=\u001b[39;49mgpw_version,\n\u001b[1;32m 172\u001b[0m data_dir\u001b[39m=\u001b[39;49mdata_dir)\n\u001b[1;32m 173\u001b[0m \u001b[39mfor\u001b[39;00m idc, country \u001b[39min\u001b[39;00m \u001b[39menumerate\u001b[39m(countries)]\n\u001b[1;32m 174\u001b[0m \u001b[39m# make lists of countries with Exposure initaited and those ignored:\u001b[39;00m\n\u001b[1;32m 175\u001b[0m countries_in \u001b[39m=\u001b[39m \\\n\u001b[1;32m 176\u001b[0m [country \u001b[39mfor\u001b[39;00m lp, country \u001b[39min\u001b[39;00m \u001b[39mzip\u001b[39m(litpop_list, countries) \u001b[39mif\u001b[39;00m lp \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m]\n", - "File \u001b[0;32m~/coding/climada_python/climada/entity/exposures/litpop/litpop.py:650\u001b[0m, in \u001b[0;36mLitPop._from_country\u001b[0;34m(country, res_arcsec, exponents, fin_mode, total_value, reference_year, gpw_version, data_dir)\u001b[0m\n\u001b[1;32m 648\u001b[0m total_value \u001b[39m=\u001b[39m total_population \u001b[39m# population count is taken from pop-data.\u001b[39;00m\n\u001b[1;32m 649\u001b[0m \u001b[39melif\u001b[39;00m total_value \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[0;32m--> 650\u001b[0m total_value \u001b[39m=\u001b[39m _get_total_value_per_country(iso3a, fin_mode, reference_year)\n\u001b[1;32m 652\u001b[0m \u001b[39m# disaggregate total value proportional to LitPop values:\u001b[39;00m\n\u001b[1;32m 653\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39misinstance\u001b[39m(total_value, (\u001b[39mfloat\u001b[39m, \u001b[39mint\u001b[39m)):\n", - "File \u001b[0;32m~/coding/climada_python/climada/entity/exposures/litpop/litpop.py:850\u001b[0m, in \u001b[0;36m_get_total_value_per_country\u001b[0;34m(cntry_iso3a, fin_mode, reference_year)\u001b[0m\n\u001b[1;32m 847\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mNotImplementedError\u001b[39;00m(\u001b[39m\"\u001b[39m\u001b[39m`_get_total_value_per_country` is not \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[1;32m 848\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mimplemented for `fin_mode` == \u001b[39m\u001b[39m'\u001b[39m\u001b[39mpop\u001b[39m\u001b[39m'\u001b[39m\u001b[39m.\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[1;32m 849\u001b[0m \u001b[39mif\u001b[39;00m fin_mode \u001b[39m==\u001b[39m \u001b[39m'\u001b[39m\u001b[39mpc\u001b[39m\u001b[39m'\u001b[39m:\n\u001b[0;32m--> 850\u001b[0m \u001b[39mreturn\u001b[39;00m(u_fin\u001b[39m.\u001b[39;49mworld_bank_wealth_account(cntry_iso3a, reference_year,\n\u001b[1;32m 851\u001b[0m no_land\u001b[39m=\u001b[39;49m\u001b[39mTrue\u001b[39;49;00m)[\u001b[39m1\u001b[39m])\n\u001b[1;32m 852\u001b[0m \u001b[39m# here, total_asset_val is Produced Capital \"pc\"\u001b[39;00m\n\u001b[1;32m 853\u001b[0m \u001b[39m# no_land=True returns value w/o the mark-up of 24% for land value\u001b[39;00m\n\u001b[1;32m 854\u001b[0m \u001b[39mif\u001b[39;00m fin_mode \u001b[39m==\u001b[39m \u001b[39m'\u001b[39m\u001b[39mpc_land\u001b[39m\u001b[39m'\u001b[39m:\n", - "File \u001b[0;32m~/coding/climada_python/climada/util/finance.py:396\u001b[0m, in \u001b[0;36mworld_bank_wealth_account\u001b[0;34m(cntry_iso, ref_year, variable_name, no_land)\u001b[0m\n\u001b[1;32m 394\u001b[0m ref_year \u001b[39m=\u001b[39m gdp_year\n\u001b[1;32m 395\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m--> 396\u001b[0m gdp_year, gdp0_val \u001b[39m=\u001b[39m gdp(cntry_iso, np\u001b[39m.\u001b[39;49mmax(years))\n\u001b[1;32m 397\u001b[0m gdp_year, gdp_val \u001b[39m=\u001b[39m gdp(cntry_iso, ref_year)\n\u001b[1;32m 398\u001b[0m result \u001b[39m=\u001b[39m data_wealth\u001b[39m.\u001b[39mvalues[\u001b[39m0\u001b[39m, \u001b[39m-\u001b[39m\u001b[39m1\u001b[39m] \u001b[39m*\u001b[39m gdp_val \u001b[39m/\u001b[39m gdp0_val\n", - "File \u001b[0;32m~/coding/climada_python/climada/util/finance.py:161\u001b[0m, in \u001b[0;36mgdp\u001b[0;34m(cntry_iso, ref_year, shp_file, per_capita)\u001b[0m\n\u001b[1;32m 159\u001b[0m close_year, close_val \u001b[39m=\u001b[39m world_bank(cntry_iso, ref_year, \u001b[39m'\u001b[39m\u001b[39mNY.GDP.PCAP.CD\u001b[39m\u001b[39m'\u001b[39m)\n\u001b[1;32m 160\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m--> 161\u001b[0m close_year, close_val \u001b[39m=\u001b[39m world_bank(cntry_iso, ref_year, \u001b[39m'\u001b[39;49m\u001b[39mNY.GDP.MKTP.CD\u001b[39;49m\u001b[39m'\u001b[39;49m)\n\u001b[1;32m 162\u001b[0m \u001b[39mexcept\u001b[39;00m (\u001b[39mValueError\u001b[39;00m, \u001b[39mIndexError\u001b[39;00m, requests\u001b[39m.\u001b[39mexceptions\u001b[39m.\u001b[39mConnectionError) \u001b[39mas\u001b[39;00m err:\n\u001b[1;32m 163\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39misinstance\u001b[39m(err, requests\u001b[39m.\u001b[39mexceptions\u001b[39m.\u001b[39mConnectionError):\n", - "File \u001b[0;32m~/coding/climada_python/climada/util/finance.py:195\u001b[0m, in \u001b[0;36mworld_bank\u001b[0;34m(cntry_iso, ref_year, info_ind)\u001b[0m\n\u001b[1;32m 193\u001b[0m \u001b[39mwith\u001b[39;00m warnings\u001b[39m.\u001b[39mcatch_warnings():\n\u001b[1;32m 194\u001b[0m warnings\u001b[39m.\u001b[39msimplefilter(\u001b[39m\"\u001b[39m\u001b[39mignore\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[0;32m--> 195\u001b[0m cntry_gdp \u001b[39m=\u001b[39m wb\u001b[39m.\u001b[39;49mdownload(indicator\u001b[39m=\u001b[39;49minfo_ind, country\u001b[39m=\u001b[39;49mcntry_iso, start\u001b[39m=\u001b[39;49m\u001b[39m1960\u001b[39;49m, end\u001b[39m=\u001b[39;49m\u001b[39m2030\u001b[39;49m)\n\u001b[1;32m 196\u001b[0m years \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39marray([\u001b[39mint\u001b[39m(year) \u001b[39mfor\u001b[39;00m year \u001b[39min\u001b[39;00m cntry_gdp\u001b[39m.\u001b[39mindex\u001b[39m.\u001b[39mget_level_values(\u001b[39m'\u001b[39m\u001b[39myear\u001b[39m\u001b[39m'\u001b[39m)])\n\u001b[1;32m 197\u001b[0m sort_years \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39mabs(years \u001b[39m-\u001b[39m ref_year)\u001b[39m.\u001b[39margsort()\n", - "File \u001b[0;32m~/mambaforge/envs/climada_env_3.9/lib/python3.9/site-packages/pandas_datareader/wb.py:861\u001b[0m, in \u001b[0;36mdownload\u001b[0;34m(country, indicator, start, end, freq, errors, **kwargs)\u001b[0m\n\u001b[1;32m 816\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mdownload\u001b[39m(\n\u001b[1;32m 817\u001b[0m country\u001b[39m=\u001b[39m\u001b[39mNone\u001b[39;00m,\n\u001b[1;32m 818\u001b[0m indicator\u001b[39m=\u001b[39m\u001b[39mNone\u001b[39;00m,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 823\u001b[0m \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs\n\u001b[1;32m 824\u001b[0m ):\n\u001b[1;32m 825\u001b[0m \u001b[39m \u001b[39m\u001b[39m\"\"\"\u001b[39;00m\n\u001b[1;32m 826\u001b[0m \u001b[39m Download data series from the World Bank's World Development Indicators\u001b[39;00m\n\u001b[1;32m 827\u001b[0m \n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 859\u001b[0m \u001b[39m DataFrame with columns country, year, indicator value\u001b[39;00m\n\u001b[1;32m 860\u001b[0m \u001b[39m \"\"\"\u001b[39;00m\n\u001b[0;32m--> 861\u001b[0m \u001b[39mreturn\u001b[39;00m WorldBankReader(\n\u001b[1;32m 862\u001b[0m symbols\u001b[39m=\u001b[39;49mindicator,\n\u001b[1;32m 863\u001b[0m countries\u001b[39m=\u001b[39;49mcountry,\n\u001b[1;32m 864\u001b[0m start\u001b[39m=\u001b[39;49mstart,\n\u001b[1;32m 865\u001b[0m end\u001b[39m=\u001b[39;49mend,\n\u001b[1;32m 866\u001b[0m freq\u001b[39m=\u001b[39;49mfreq,\n\u001b[1;32m 867\u001b[0m errors\u001b[39m=\u001b[39;49merrors,\n\u001b[1;32m 868\u001b[0m \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs\n\u001b[1;32m 869\u001b[0m )\u001b[39m.\u001b[39;49mread()\n", - "File \u001b[0;32m~/mambaforge/envs/climada_env_3.9/lib/python3.9/site-packages/pandas_datareader/wb.py:641\u001b[0m, in \u001b[0;36mWorldBankReader.read\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 639\u001b[0m \u001b[39m\u001b[39m\u001b[39m\"\"\"Read data\"\"\"\u001b[39;00m\n\u001b[1;32m 640\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[0;32m--> 641\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_read()\n\u001b[1;32m 642\u001b[0m \u001b[39mfinally\u001b[39;00m:\n\u001b[1;32m 643\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mclose()\n", - "File \u001b[0;32m~/mambaforge/envs/climada_env_3.9/lib/python3.9/site-packages/pandas_datareader/wb.py:650\u001b[0m, in \u001b[0;36mWorldBankReader._read\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 647\u001b[0m \u001b[39mfor\u001b[39;00m indicator \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39msymbols:\n\u001b[1;32m 648\u001b[0m \u001b[39m# Build URL for api call\u001b[39;00m\n\u001b[1;32m 649\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[0;32m--> 650\u001b[0m df \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_read_one_data(\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49murl \u001b[39m+\u001b[39;49m indicator, \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mparams)\n\u001b[1;32m 651\u001b[0m df\u001b[39m.\u001b[39mcolumns \u001b[39m=\u001b[39m [\u001b[39m\"\u001b[39m\u001b[39mcountry\u001b[39m\u001b[39m\"\u001b[39m, \u001b[39m\"\u001b[39m\u001b[39miso_code\u001b[39m\u001b[39m\"\u001b[39m, \u001b[39m\"\u001b[39m\u001b[39myear\u001b[39m\u001b[39m\"\u001b[39m, indicator]\n\u001b[1;32m 652\u001b[0m data\u001b[39m.\u001b[39mappend(df)\n", - "File \u001b[0;32m~/mambaforge/envs/climada_env_3.9/lib/python3.9/site-packages/pandas_datareader/base.py:110\u001b[0m, in \u001b[0;36m_BaseReader._read_one_data\u001b[0;34m(self, url, params)\u001b[0m\n\u001b[1;32m 108\u001b[0m out \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_read_url_as_StringIO(url, params\u001b[39m=\u001b[39mparams)\n\u001b[1;32m 109\u001b[0m \u001b[39melif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_format \u001b[39m==\u001b[39m \u001b[39m\"\u001b[39m\u001b[39mjson\u001b[39m\u001b[39m\"\u001b[39m:\n\u001b[0;32m--> 110\u001b[0m out \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_get_response(url, params\u001b[39m=\u001b[39;49mparams)\u001b[39m.\u001b[39mjson()\n\u001b[1;32m 111\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[1;32m 112\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mNotImplementedError\u001b[39;00m(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_format)\n", - "File \u001b[0;32m~/mambaforge/envs/climada_env_3.9/lib/python3.9/site-packages/pandas_datareader/base.py:155\u001b[0m, in \u001b[0;36m_BaseReader._get_response\u001b[0;34m(self, url, params, headers)\u001b[0m\n\u001b[1;32m 153\u001b[0m last_response_text \u001b[39m=\u001b[39m \u001b[39m\"\u001b[39m\u001b[39m\"\u001b[39m\n\u001b[1;32m 154\u001b[0m \u001b[39mfor\u001b[39;00m _ \u001b[39min\u001b[39;00m \u001b[39mrange\u001b[39m(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mretry_count \u001b[39m+\u001b[39m \u001b[39m1\u001b[39m):\n\u001b[0;32m--> 155\u001b[0m response \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49msession\u001b[39m.\u001b[39;49mget(\n\u001b[1;32m 156\u001b[0m url, params\u001b[39m=\u001b[39;49mparams, headers\u001b[39m=\u001b[39;49mheaders, timeout\u001b[39m=\u001b[39;49m\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mtimeout\n\u001b[1;32m 157\u001b[0m )\n\u001b[1;32m 158\u001b[0m \u001b[39mif\u001b[39;00m response\u001b[39m.\u001b[39mstatus_code \u001b[39m==\u001b[39m requests\u001b[39m.\u001b[39mcodes\u001b[39m.\u001b[39mok:\n\u001b[1;32m 159\u001b[0m \u001b[39mreturn\u001b[39;00m response\n", - "File \u001b[0;32m~/mambaforge/envs/climada_env_3.9/lib/python3.9/site-packages/requests/sessions.py:600\u001b[0m, in \u001b[0;36mSession.get\u001b[0;34m(self, url, **kwargs)\u001b[0m\n\u001b[1;32m 592\u001b[0m \u001b[39m\u001b[39m\u001b[39mr\u001b[39m\u001b[39m\"\"\"Sends a GET request. Returns :class:`Response` object.\u001b[39;00m\n\u001b[1;32m 593\u001b[0m \n\u001b[1;32m 594\u001b[0m \u001b[39m:param url: URL for the new :class:`Request` object.\u001b[39;00m\n\u001b[1;32m 595\u001b[0m \u001b[39m:param \\*\\*kwargs: Optional arguments that ``request`` takes.\u001b[39;00m\n\u001b[1;32m 596\u001b[0m \u001b[39m:rtype: requests.Response\u001b[39;00m\n\u001b[1;32m 597\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[1;32m 599\u001b[0m kwargs\u001b[39m.\u001b[39msetdefault(\u001b[39m\"\u001b[39m\u001b[39mallow_redirects\u001b[39m\u001b[39m\"\u001b[39m, \u001b[39mTrue\u001b[39;00m)\n\u001b[0;32m--> 600\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mrequest(\u001b[39m\"\u001b[39;49m\u001b[39mGET\u001b[39;49m\u001b[39m\"\u001b[39;49m, url, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n", - "File \u001b[0;32m~/mambaforge/envs/climada_env_3.9/lib/python3.9/site-packages/requests/sessions.py:587\u001b[0m, in \u001b[0;36mSession.request\u001b[0;34m(self, method, url, params, data, headers, cookies, files, auth, timeout, allow_redirects, proxies, hooks, stream, verify, cert, json)\u001b[0m\n\u001b[1;32m 582\u001b[0m send_kwargs \u001b[39m=\u001b[39m {\n\u001b[1;32m 583\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mtimeout\u001b[39m\u001b[39m\"\u001b[39m: timeout,\n\u001b[1;32m 584\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mallow_redirects\u001b[39m\u001b[39m\"\u001b[39m: allow_redirects,\n\u001b[1;32m 585\u001b[0m }\n\u001b[1;32m 586\u001b[0m send_kwargs\u001b[39m.\u001b[39mupdate(settings)\n\u001b[0;32m--> 587\u001b[0m resp \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49msend(prep, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49msend_kwargs)\n\u001b[1;32m 589\u001b[0m \u001b[39mreturn\u001b[39;00m resp\n", - "File \u001b[0;32m~/mambaforge/envs/climada_env_3.9/lib/python3.9/site-packages/requests/sessions.py:701\u001b[0m, in \u001b[0;36mSession.send\u001b[0;34m(self, request, **kwargs)\u001b[0m\n\u001b[1;32m 698\u001b[0m start \u001b[39m=\u001b[39m preferred_clock()\n\u001b[1;32m 700\u001b[0m \u001b[39m# Send the request\u001b[39;00m\n\u001b[0;32m--> 701\u001b[0m r \u001b[39m=\u001b[39m adapter\u001b[39m.\u001b[39;49msend(request, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n\u001b[1;32m 703\u001b[0m \u001b[39m# Total elapsed time of the request (approximately)\u001b[39;00m\n\u001b[1;32m 704\u001b[0m elapsed \u001b[39m=\u001b[39m preferred_clock() \u001b[39m-\u001b[39m start\n", - "File \u001b[0;32m~/mambaforge/envs/climada_env_3.9/lib/python3.9/site-packages/requests/adapters.py:578\u001b[0m, in \u001b[0;36mHTTPAdapter.send\u001b[0;34m(self, request, stream, timeout, verify, cert, proxies)\u001b[0m\n\u001b[1;32m 576\u001b[0m \u001b[39mraise\u001b[39;00m SSLError(e, request\u001b[39m=\u001b[39mrequest)\n\u001b[1;32m 577\u001b[0m \u001b[39melif\u001b[39;00m \u001b[39misinstance\u001b[39m(e, ReadTimeoutError):\n\u001b[0;32m--> 578\u001b[0m \u001b[39mraise\u001b[39;00m ReadTimeout(e, request\u001b[39m=\u001b[39mrequest)\n\u001b[1;32m 579\u001b[0m \u001b[39melif\u001b[39;00m \u001b[39misinstance\u001b[39m(e, _InvalidHeader):\n\u001b[1;32m 580\u001b[0m \u001b[39mraise\u001b[39;00m InvalidHeader(e, request\u001b[39m=\u001b[39mrequest)\n", - "\u001b[0;31mReadTimeout\u001b[0m: HTTPSConnectionPool(host='api.worldbank.org', port=443): Read timed out. (read timeout=30)" - ] - } - ], + "outputs": [], "source": [ "from climada.entity.exposures.litpop import LitPop\n", "from climada.util import log_level\n", @@ -1448,7 +1401,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -1487,7 +1440,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -1518,7 +1471,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -1566,7 +1519,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -1594,7 +1547,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ @@ -1630,7 +1583,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "metadata": {}, "outputs": [ { @@ -2076,7 +2029,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -2099,10 +2052,10 @@ { "data": { "text/plain": [ - "{'scale': 0.9966365391467045, 'v_half': 61.99226099517253}" + "{'scale': 0.9966365391467046, 'v_half': 61.99226099517253}" ] }, - "execution_count": 12, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -2148,7 +2101,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -2273,7 +2226,7 @@ "[200 rows x 3 columns]" ] }, - "execution_count": 14, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -2293,7 +2246,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -2418,7 +2371,7 @@ "[200 rows x 3 columns]" ] }, - "execution_count": 15, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -2438,7 +2391,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -2447,13 +2400,13 @@ "" ] }, - "execution_count": 16, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", 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8Lh9hl0cSEq/nECDALg2Q7hTBId3tQ9XtDkfPpK+QZiRg1JuQHGGXZjbkv1fz89HJR6WrgMOVy5ANJBBCgMOAEmcF+QW/UG5UvwaO/EaqExOBRFQlJw1reB+L5rkVUkrJm/u+46PUn6peK+5E7Jes9SzOWsu1vU7nom7TfIijtl8Ob+OedR/UvD6OXCglCw5tILeyhBfGXhn0Y10OlRVy6c/vUup0J+JOeSTZza0o48pfPuCz6VfTPyqhScd3yYZbGoEGv8QApJcWNvh+NAmN9JLCBvbyn4auAW2KEO5aJU1lNO6xZWVlaMe01Om6rqYE+6pz585kZmbW2paVlYXJZCIurv6Lzb333sucOXNqfi4qKqrT3+Zv9go763/eQkl+CQnd4xk8sX+j31AzBvXhg5UbcBn1f4Q4Qw2MKLhr2cKabf1jO3HfhKmckNKjweP/lPU7X6QvAqi6yAgchoZZM7wkJhIdo+o9JbFp9mPuF1iFgwitnGLDggkDs3Cho2HRfOjCkQZSakjhoZXjWHPiahISaak9xkQIgSG9r/EtEehVpymXsqalxoKBA4EhBRXSPbakoVaJEpcFT10pEsPjffXFBFBpVLds1H1MdWJi1ZxUGGavx400RWFIM8XOUo/7aGiMix3l8f4lWev4KPUngFrdSNVdY//d+y29wrswNtb79O2jGdLgmW3fer4fycrc3azI2c3E+H4+HzcQ3tz5B6XOynpbHwwkTunipW2/8dxx5zbp+EmhkURbbBTYKzzuoyEYFJPY4OdMhMVWa6BsfQwpibQEtuvGYbj4bPdm3t6+hh352Zg0nROSe3DNoLFMTOoe0NjakjPOOIPHHnuMbt26MXjwYNatW8czzzzD1VdfHbCYgvsrxjEmTJjAokWLam1buHAhY8aM8TiexGq11jRl+dqk1VqklHzy1FdclPwn7jvtceb+3/PcPvkfXNHvL6z4dk2jjnXJ+BF4ajNwhBs4YiQurfYHy868XK78/jMW7d9dz6Nqx/l52sI628tdlgZaSgRW3Ul1e0KofnRSIjHhorsph0itHCc6lZgokTYKDSsuSZ1ZRLUfKxFCUindH5fHjm1xpwQatSaTPZNbk5AIu4Rncmuen5Sy3g9eKSVGVctI9XPVgJCjnrgmwFIVhS+JhCEFdrwnB2Zx7BiWuqQEh9SREp+6ZsyiOkHwfIGZnjiLU5NmeLwfQBOC6YmeZ27MO/iz1yRRQ+Ozgz97PcexNuancqg83/s4CQRfHlzVqOP6m5SSz/at99od4pKS+WnbKHUem8T7xqzpXNZ3FJqXN6eB5Ip+Yxo81undB9ZqyfFkVjffE8yWZne5uPanz7jn9/nsyM9G4k5SlqTv5dKFH/H6lpUBi625hNCafWuMF154gfPPP5+bbrqJgQMHcscdd3D99dfzyCOPtNIzbFhAk5KSkhLWr1/P+vXrAfeU3/Xr15Oamgq4Wzlmz55ds/8NN9zAgQMHmDNnDtu2bePNN9/kjTfe4I477ghE+I3237vf4/W736OkoPa30sy9h7n/rCf57Ys/fD5Wz04xPHvx6eiahn7Uh5EwgTOy/g9AWTXt9Z4lC3C4PLcSZFbkkFGRXWe7U+qUOizIOgmE+web5qhp8YgxlWES1S0A7haUnuYs9+ByUX05df/XiU6uK7RqNIrkyEW0alojEC7cL1a7NLBX1UeRNfdrmIQJrep4UspaY0jkgT4Yd8aiPZVXk5g46gxkPcJxzLgOIQR61ayfmm2AtVas4Onib/iQuFi1I8lcfaSESmlCovmUkIiq/1i0I7VkqlUPFJ4UN4XpibM4M3kmkzsdV+u+6n+bhInb+91Ioi2+3vMUOUrZVeJpRpabgcHa/J24DO8tU0fLKC9ocB8XkvSyPJ+PGQh2w0WJD8mGISUFlWVNPs+NgyYyJKZzvYmJAE5J6c/ZPYY0eJxxCSmMju9S6zPlaBqC83oPJSkscF/u/rNxOb8e2g/UfsdUJ36Prf6ZNVkNj4EKSppo/q0RIiIiePbZZzlw4ADl5eXs2bOHRx99FIslcGO1Atp9s3r1ak488cSan6u7Wa644grefvttMjIyahIUgJ49e/L9999z++238+KLL5KcnMzzzz/fJqYDH9yRzif/+rre+6QEhOS5G1/nuNNHYzL79meZNrA3P9x2JR+t3MjP2/dQ6XKhx2jsqszz2PwqgdyKcn46sIdTetXf7G03PH+IVhhmHA4dm+7ArLmIs0Ri0QRmUUmYKYaBESNJsEawr+Q3Ch2H0YS7yyaOzZg8dtEIKqtaEswYGFWjITTAKiQWqlst3DVJKqQLEwJd6OhoNd/Sa5qmjx3UCsjbY2vGmDgwMG6PqjrzUYkM7gudo76psVJiOnoAYNWpdAxcaGhIj8mH5kOrii4k0SYLhU5nrQt89elcaJQatqpT+zgKR7rPaBEuDKljAJHmGHqG9WZK/HT6Rwyq+Z3d2Psqju90HIsOL+FA2UHMwsyY2BFMT5xCvNXzOByH0XALT1UouKSBjucBtUeLNDdc90UgiLaE+nS8QLFoOqG6mTKXw+t+GoIoS9Nr3YSaLHww7TJe3LKcD3avpbCqK6dzSARX9x/HVf3HotczyyenopSDJQWEmiz0jeqEJgSvTz2fq3+ex/qcQ+hCc//dqv4/I6Ufj4yb2eQ4m6vS5eSd7Wu9JsG6ELy1bTWjE7r4MTKlpQQ0KZk6dSreare9/fbbdbZNmTKFtWu9T1kLRj/89yd0k4bL6eHCLKEgq5CVP6xj4pm+1wDoGhPFHTMnc8fMyQDcvOgbdu3N8zp61CQ0dud7/oYZb43FJEw4Zf0XHJfUKHPa6B6azL+G/63efcZ3Oqfm32nFn7IlZ1MDz0SjSNpI1sqweEn2hXBfkh0IBLLeQY7CoCYhOfrDy3l7lLudwSWPmqni5j6mq96EpOa4R/3bkJBrWGuO4R7eqVNf8qEJgU0YVEpz1fiR2seRVR1xQ2LOJinsJJZnvUZa2bqauFxoFLlsNedyt5MYVeNLPP+yqufkaEJjZMwYTku6iARb3Rlq4P69DosexLDoQR6PV59ocziRplCKnN6/5SfaYrHovk/ZHxPXi3CTjRKn53ESEsnM5BE+HzMQhBCc02MYH+1d67ELRxeCacn9mj3FNtRk4c7hU7l1yGTSywrRhaBLaFS9ycj+4jyeXLeEhQd31nyB6RoWxY2DJ3BJnxF8NnM2yzL38/W+LeRVVXQ9v/cwhsclBXRA6a6CnJqEyxOXlPyWsd8/AbW05s6+aQeDfdvUQNe2LH13pueEpIqma6TvzPC6T0NsJlODnQUGEls9s3d2FKXxS9YmSpzldA3pSmpZar0FtcB9QZiVdIJPMdldee7xHh6mu1Yf0cCGRlmD0xYBXCICk7AgKanzfOUdR3+zr2pXEAZSguv2GKC6TqvEwMApDew+1Eo5evZCsWHGhUAIgSbdrSQmXLjQOJLyuCMLNfWgX9wt/Jb1OFI6AQOXFDikftSsHdhW9COh5h6c0/1pthQsYn7GMzW/GbMwsFcVRhKCqp/rf/sKBCZh5k+9/oZNDyPGEkeYKaLB59cUuqZzevIkPkr90WPrnEBwdpfJjTquVTdzVe+pvLBjfv3nFRoJtkhmJA1tdMz+dnW/4/jywCbKnY46vyNRlTTeNPD4FjufRdfpGRHr8f49Rbmcu+BdSh2VteJJLy3kvpXzSS0p4J6RJzI5qSeTk3q2WFwtwZcZRI3ZL+iopEQlJf5iC7Oi6RqGy/PFTxoSW1jzvi1N796bT3ds8bqPISUndu9V83Oxo5wHNv+P1Xm70IV7ZIYhXURZJboQ9QwqFQyI6MWJCeN9ismqxzeQkLgHqYZaBoBrGb5MEnYZeWBKRkgdGjx29ZTe2rMK3B0/GhrCp6SkugHekFBeU9H1SA0R9zmqUx2NUHMv+sY9SpR1NEIITjIlsSzz75Q4c6isJ6EodWbx6+HHKXflMjz2/+gWNpJNBfNJL9+MSxocKEunwlWGxMCkGUjDiUMeOwtHYNFsXNnzbnqHD27wObWEC7udxPLcTaSWZtVJYjUE/SO7c2bypEYf9/Kek8m3l/LevqU13QfVf8OkkGheGHs1Nj3465R0C4/h3Sn/xw3LPiG7oqRWnZIIs5XnJpzL4Jj6W7Baw31/zKfUUXc2UPVPr25dwandBjAszn8x+apXVCw23USFy3O3oS4EIzol+zEqpSWppMRPJp09jsUf/OZ9JwHHneF9hLzLMNhy8DAlFXa6xkXRrVN0rfun9+hDSkQUh0qK6m0u1oVgSkpPeke7v0kZ0uCeDW+ypdA9dudIzQNBYaWVMLMdi37kOBbNzLSECVzR4xzMXmpXHC0x7GS25j6MISs97iNx0TPmb5QVzEG4djR4TIHAZeShi4ZbhqqTKnerRu0y3KKqtcMmw6mgxOMx7PJIauZE49hukyODd6sH37qQRg7RtiN/z4SQEZzZ/Qs+2ncuuAo8nmtVzmv0ijiJCHMyE+P/r2Z7kSOXT1KfJK18BwINqybQpQNBKDGWLoSbY+gfMYIxsVMJ0ZtfxbchuZWFVBh24iyR/HvELbyx71sWZq7EXjXOJES3cGrSBK7oOatRXTcAdpeTpVnbiDKHck3vE8m3l5JnLyFEtzA1cRAnJAzEpPk2PiUYDItN5pfT/sKPh3ayKvsAhnRXdD01ZRBW3X8fw3uLcvkjK9XrPrrQeG/nWv454TQ/ReW7cLOVC/oM5YOdnmc0uaTkyoFtdH0eTXPfmn6AFgslUFRS4icTzxpLUq9EDh/Irre1RNM1TrrkeOK71j+oUErJJ79v5NVFf5BddGT2zsieydx55hSGdusMgEnTePe087nkm485XOq+yEqoKUk/qFMC/552as3jV+ftYlPh/nrPaaBR7LARaph5YMiF2HQL/SJ6EmZq3IA8kxZO7+gb2ZX/7NHPCBMGJuEeGxFpm0qUbSQRCd+RlTkcaZR47cIRQIV0YBUNvYQF1Z01UDWTpmrAbHUHi0RiEnbCw++hrPR/GMaRkfuGlNilxFHnmA0T9QzqzCzfQLmXhMT9OMH2wm8Y2+n6WtsjzXFc2/ufpJfvYnfxOlzSQWdbT/pHjkNv8PfQcpblbOTDA4vYVXIQALNm4uTEsVzWfSbX9jqDfaWH0NDoGZ5EiN74lr+Fhzbw5NavKXKUowutpil+ZvIw/jbk7DbROlIfs6Yzq+tAZnUdGLAYtuVnNbiPSxpsystscL9AuWPUCazITGVvUV6txKS60/SSfsM5sUsvj48Paqr7RiUl/mIym3hiwd+5c9pDZKXm1KxuW92lM3zqYG595U8eH//CD8t5/ae68+837M/gyhc/4b83nMfInu7R5j2jY1h00VV8tmMLX+zcSl5FOV0iIrlk4DBm9eqHRT9ysVyQuabBYkllLgeVLo0JnRo3CPJoPaOuQ0oXewpeRsdOhFbhTkhk1fvIvpB9OX+hW+zjREU9QmHBHI/H0qtaN9yFp4yaLqf6iJBzkeXz6m4X7nk3sqYFxIRJFhGbuAKHfRWGkYmmxWJ3FeMs/g84NuIeOmojJuw8CkrmY0hvgzt1okPqjhPIt+/l6ILw9ZEY5Ffu9Xh/l5C+dAnp6+XcrefTgz/z+t6vatUlcRhOFmT+we85m3l21G0MiWr6BWFx5mbu2/Bxzc9HVytdeGgj+ZWlPN8GqrgGK7OPrUuWZq7H05qiLDY+PfX/eHHj73y4cz3FDvdswe4RMVw3eByX9hvedqu7CpqZlLRYJAGjkhI/Su7dmTe2PsvPH/7G4g9+oyivmKSeicy6dhpjTxlRp9xvtT2ZufUmJOD+Ju90Gdz/8SK+vvuKmjdjhMXKlUNHceVQz5U4AXIri70mJOB+nefZixt+gt6OIQS9Y26kk204e7L/D2q6VGqeCfll31DpTKVPpxcxVS2Wd3RkgiMJSfXPDhwgrZjqvBnNiPCbIewGpGMXwrm+1gDa6llf7hLxVf82ihFCw2I9MlbGAoSHnoqULqQsRYgwhNCpEPGkF70OHseiuOgcMbvOVk340o2hoTdj+fLWklqayet7vwLqFq9zSYMiRynP7fyEucNubNLxXdLgmW3febzfQPJH7m5W5uzhuPjAJGVt3biEFMyajsNLzRhNCE7q0vBqwoEUZbHxtzEn8teRk8koLcas6SSHRbTdZESpoZISP7OFWpl1zTRmXeP7WiCfrtiErgmPJeUNKdmfnc/6/YdqWkt81ckaWTOI0BMJxFpbZvZGVtEL1C6QdjSDMvs6CitWYLFNx1G5GHlUKfhjP3D0qq8FBg7g6It91X6WMe4WkZCzcBatPaqiSfXZjq7qaiB0z787IXSEOFIwKiX6NoorN1JU+Tu1Wz7cA297xtxPhHV4neOkhI338NyPZpASNqGBffzvu4zltda2OZYLg7X5O0gvz6ZLSP3F1rxZl7ePwxWFXvfRhcZXaatVUtJE0dYQzu81lI/3bKh3hooAzELj4j4j/B5bU1h1Ez0iYwIdRstR3TftYFRMB7AzI8djQnK03Zm5jT72jM6jGlzQK0y3MSGu+f3glc40iiuX4X22jEZOyXuERt4DwupOKoSok5BUt5oA9RTkclf3kIV3I6WBHnImEjMuDBzShUO6cGLUaSEyhZ7v83PRhJVBiW/RK/YRQsy9cY8EMRMTciKDEz8kKfLKeh8XYU6me9hkhIe3nkDDpsfQK6LxC9i1ti2F+zwmJEfbVXywUcfdVZTBv7d9wws7fmhwX5c0OFSe36jjK7X9Y/R0Rsd3BeDojk9dCEyazssnnEtiaOtMIVca4OeKrsFItZS0AVaT3sAoBDeLqfGzEcbE9mV4dC82Fezz2I1zda8ZWBs5e6I+dqcvFyuDSucBTOYBRMV9TnHelRjG4Vp7aIAZzT2bBkH9I0oMcKWBfQXCOhFTxO04i5/0eFZT2J8QeuOmQGrCQueIy+gccRlSuhct9KX5+ITO9/J92m3kVu7k6FYWgYZFC+OULv/CpAV2wbP6eFtbpfZ+vn3XcRouHt38GfMz1qELDafh/h16PXYbqOIa7EJMZt476RK+2r+F93auZW9xLiG6mdO6D2R2v9H0jPRc40RRWptKStqAqYN7sXT7fq/7aEIwqX+PRh9bExpPDL+Khza/z4rc7VWDRkVNaemre83g/JSWKezkrXpvrZi0cABMlqFEJ66mouhh7KXv4F4lx4wQ1XVOBRbMXhIBDZzbwToRU9j1CGHFUfw0yFKOzMixYQq/EVP4X5r13BqzEJZVj+CMlJfYW/wT2wu/ptiRgUWPoE/EDAZEnUGIKTibo0fF9GdX8UGvY5A0BIMjfSu49ez2b1mQsR44ekCr93L8BpJTkkb4FrDikUXXuaD3MC7oPSzQoShHU903KilpC04bNZDnf1hOcXllvf3AmhCcOmoAnSKbVpsizGTjnyOuYU9JBr9kbaTEWUFySBzTE0cSbWl+vYsyx14O5D9DTtkCQkRDA8w1YkPPrvlJCEFI1APYIm7DWf4N0nUQRDiaYx2afTmeB5qC+wJnrjmOKewq9NCLcVX8BEYWaLHo1umIqiTIn0yalX5Rp9Iv6tSGdw4SpyZN5JODP3lczllDY3L8cOKsUQ0eK7eymC/SVtYaMFtd68VT7qoLjeSQGKZ1bnhhOUVpk4TmvjXn8W2cSkragDCbhVeuO4c/vfo5pZX2msSkuvbIiB5J/OO8k5p9nt7hSfQOb9kqjqX27WzIuAiXrAAkDqlj1TyPKREYOMveIo9sIsKuxmx2LxootCjMYUcKicmyT5H2BorRIcFau7y5ECGYQk5v6tPp0BJsMdwzcDZzt76DEKLWWCSBoFtYIn/pe4FPx1pyeAtGPWOZqgvQyVpjHdwDsVNC43hh7FVY/FhsDGBz/iG+PriJ3MpSEmzhnNVtOAOiEv0ag6J0FCopaSOGdOvM1/dcwed/bOb7tdspqbCTEhfFhROHM31YH8x6cFa33JFzV1VC4k5EnGgIKbEcXaMEoOoyFKW5EDKX0tL3KC19n7jYVwgNqaeyZMhpUPwUyELqby3RwXI8wtSjNZ5Wh3VC/AiSRsXxedoSfsvZiN1wkGiN5Ywux3N68iSfi6UVOcrR6pn1Vd16LaVESkG8LZKxcX04KXEwkxL6o/vxm2CZ085fV37O4syd6EKrmVL+5q4VnNp1ME+OPsvvCZLSzjV7sKrqvlH8qFNEGH+aPp4/TfdtzZlAK67cRKl96zFbBQ5pwiklZuFCkxJdSMKFgVUYR70fXYAgN+8GLIm/YTJ1r30UEQKx/0XmXVk1RuRIeXyQYOqNiP5niz2XcvtODpe8TX7ZAgxZSYi5DwkRs4kNPcPH2iPtR9+IFO4eeDl3416moCmFzDqHRHmd9SUEmDTBjKSh3DogMOXO71r1BUsydwFHjXmpaqX8IW0rFk3nyTFnByQ2pZ1SY0rUlGCl9ZTYPS8MKBHYpYkKacYldUI0o54vCO56JiWl79Z7DGEeiuj0A4TdCHpXEJFgGoCIfAgRNw+htcyA0byy79mcOYvsko9xGrkYsoRS+0b25c5hV9ZVGNL7UurtWVMrq05JGNxguXiXNDi9S2DWMNlReJhFGTs8DuqVSL5K3cjBUjU9WVFakmopUVqN8Onl5amQWjUX5RULiY76R/3n0BMQEbdCxK1NCbFBFc5U9ubcgrsl5ug43d+ciyqXk1bwL7rF/L1Vzg/urow9pZvZXLiCClcZcZbOjI49kVhLQquds7WFmqzc1Hcmz2z/pt77BXBal9H0jujc7HNJKfk9ey+fHVhLWlkBUeYQTu86lJldBnmc6v7dwc0NFhUUQvB92hau798ys9MUBZrZUqK6bxTFs+iQCTS0zgtAiPBWTA2ktLdcUI2UXfxe1QwRT8/BILvkfbpE3Y6utfzKvMWOfN7eP5f08r1o6DWzVX7KmsfU+HOY2fnSNlta+8LuEwF4edcCyl32qsX33N1B56dM4C/9ZzX7HBUuB7et/IRfD+9CFwKXlGgIfsvazYvbl/DmpNl0CavbolZgL2/w411DUGD3tv6RojSS6r5RSYnSemymLsSFTiO37Gfqr+IqEEjCNaeXo+hYzHXLtftLQflivFegBUOWU2JfR5StZb8xu6ST/+57hOyKNPd5joljSfYX2PRQpiac06Ln9acLu0/kjC5jWJK1hayKQqLMoUxJHESMpWWmaT+y4Tt+O7wboGZF2eoumUPlhVy7/H98M+3PmI5ZqC4xJLLO+j7HMqQkMSTS6z6K0ijNHegq235SosaUKK2qb9xcQqvKsNduWtTRhIWutsHowtvMIRfh4Ve2aoze+NpKI6Wjxc+9tWg1hytSvZZ2/znrM+xGZYuf259CTBZmJY/kil5TOTtlXIslJIfLi/gqdYPHcSEuaXCgNI8lmTvr3HdWt2H11gQ6mhCCM7oObZFYFUVxUy0lSqsy6zGMSPqUzJJ5ZBS9T6UrHU2EkhB2JsmRl2MWGoezZ2EYhdTXIhEWegVWS/2L00nHVnClgggFyziEsNW+35WNs/wLpCsNoUWi205FMw9qVPxh1mFUlqXXG9sRghBz/0Yd1xfr839FoCG9JCWVRgU7i9cxJOq4Fj9/MLO7nPyYuZWtBYfQhcb4Tr04Lr5XrYG3P2fuaLC1QxeCRYe2MT259tpOXcOiuazXWN7bu8rjY6/rN5E4W8t32XUEUkrW5hwiu6yEOFsYo+KT0T2skt6hqO4blZQorU/XQukSeQVdIq+o9/7E+PkUFD1Gefm3VF/8dS2JiIibCA+7ps6YCWlfgyx6GJzbjmwU4RB2NYTdBAicJc/hLHmh6k4NkDhLXkSzTsUS/TxC823BsYTwy8kr+9bbsyMqZCpWU7JPx2uMUmeR14SkWpmzuMXPHcyWZ+3m7rXzKHSUY6pKQt7a8xvdw+J4fuyl9Ixwr1Bc5rSjVY0j8cQlJaXO+lua/jZ8JhbNxLt7/qhZdsElDUyaznX9JvKXgVNb/Ll1BD8c2MHcNT+TWnJkReik0AjuHHkC5/bu2NV6pRDIZiQWzXlssFBJSQd1uCKfbw/9zu85W3AYTvpGdOXMLhMZGtXL7wMnTaYUOsW+gsuVi9N1ACFsmE39EfV060j7amTebOoUTJMlyJLnwZWBS+uKs+S5o+48sq9RuRR7/p+wxH7g0/MMt44jIXw2WSX1TUvWMWnRdI950Kfn2VhR5k5oaA2uzBtpjmuV87eGHUWH+Dx1BRsK9qMJjXFxfTg35Ti6hXXy6fEb8w9y88r3ahIN51GzY9LK8rly+Zt8NuUmOtki6BYW6zUhAXe12G7h9S9ApwuNu4edzLX9JjI/fSu5laXE28I5pcsgYqxqUcCm+GzPZv667Ls6g4gzyoqZs+w7ih2VXDEgMNPAleCgkpIO6PecLTy4+W0MadT0t2dU5PJz1jrOTJ7ILf3OC8iMDl2PQ9c9X2CllMjC+3EnGR4u1OXzcOF9jIphX4FhX4Furb9b6GhCCLrFPITN3IfMolewuw65t2MiJvQ0ukbfhdXUpcHjNMWY2JPYUOi9lH6YHkXfiLaxqNpbe37m1d0La021PVCazScHlnPfkPM4zYeaJC/v+BlDynq7ZVzSoNBexof7/+AvA6ZzQue+xFhCyfcyQ8YlDc7vPsrrOeNsYVzWe2yDsSnelTrs/OOPhYDnuWyPrl7MmT0GEWML8V9gwUSjeSM9fVvzNKipTrwOJq0smwc3v41LumoNAKy+SHx9aDmfpy0NVHjeOTaCazfeFuGTaOgNDjrVcZV/7vNphRAkRsxmWPJvDOm8kEGJXzOiy2p6d3qu1RISgN7hQ+gTPgzhZXLqqUmXo4vg/27xU+YmXt3tviAdXfvDVZUYP7r5MzYXpHo9Rl5lKcuzd3tdpdhA8nnqWgAsmol/DD+tzhDro13eazy9qrp7lNb13f7tlDm9vzedhsFnezf7KaIgVD2mpDm3Nk4lJR3MV+m/VX3T9Ozj1MVei0YFjGtvg7sIDK8X8aoDIV3ZjT69EBohln6EWYdh0qMb/fjG0oTG7B53MTTK3aIjEGhVrUAWzca5XW5gdOzUVo+jJbyzd4nXv4smBB/s994qlGcv9emLYL69tObfp3QZzHPjLqJzSO2Vi8NMVm4ZeBJ3D53pwxGVlrCnKBdzA4NZdaGxtyjPTxEpwSj4v2IpLWpp9sYGxyjk2ovYU3KIfhFd/RSVj0TDTbryqP96piP0tlEN1aLZuLT7HE6xX8bmwj+odJUTa01kaNQELJpvi98FWm5lMTuLD3ndxyUNlmZtrVn0rj4xFt/GccSYa+83PXkgJyX1Z1XOAQ6VFRBpCWFifC9CTN7L3Csty6abG5xm7d6vA1+W1OwblZR0NBUu3+pp2H3cz68sEwEL4Ll2iEDgFCaQ3qbwutBDzm3p6FpVrCWRE+LPDHQYTeLra84hXUikxxaVOGs4x3XqzcqcvR67cDQhOLtb3TEimtAYH9/T96CVFndySh+e27jM6z5OaXBySl8/RRSEVFKium86mh5hiWgNdG8IBMmhvs2G8CehRULoJXgeIaCBiEYL+7OXo2holololqavtOw0Stlf+DZLD57Cwn3DWHxgAltzHqHUsb/Jx2zP4qwR2LSGV1JODolpcIG/m/qfiBD1py26EESYbFzSs22sot3RDInrzPjEFHQPF05dCAbFJHBcYoqfI1OCiUpKOpgzu0zyOlBQExqTOg0m1uJbHQ9/ExF3gnVa1U9Hz7IRICIRsW9iCr8ZU/gc3A2BGmCu2VeznoQl5tUmzy6yu/JZcegiduQ9RZkzFYkTh1FIWvEnLE8/m9zy5U1/cu2UTTdzepfR6F4SDoHgvJSGC8CNiO3Gv8dcjEWr28gbbrLx2nFXkGBTpd+D1UtTzqZvlPsLj1b1HqxOMbuFR/PGSYGZ+RcsquuUNOfW1qnumw5mSvxwFsSsYk3+zjrTKjWhEabbuL5P8HYTCGGB6P+AfTmy7ENw7gMtDGE7FULORWjuAY3miL9gCr0UV8VXGM40hBaBbjsNzdyvWeffnPN3yhwHOHbcisSFlAbrDv+FKSmLMetR9R+gg7qq90n8mrWNXHtxnUHUGoI+EUmc60NSYkiD79M3UmnUXS+p0FHOKzuX8PSYi+qsZaMEhzhbKF+dNpvvD+zgk10bySwrJj4knPN7D+GMngMJMTXcotauqSnBKinpaHRN55Fh1/DfPd/x7aHlVBpH+vtHRvfhln7nkRwSfF03RxNCA+vxCKv3BfCEHocp7OoWO2+ZI43ssiV4fudLXLKC9JIv6RFVf/XajirOGsEbx93EU9u+YmnWtpqE2CQ0TkkeyW39T/dp4OkXqeuYf8jzlNElh7fzyYFVXNqzY5XdD5SM0iI+3LWBlYcPIqVkbGIKl/QdTpdwz0m5VTdxTq/BnNNrsB8jbSPUmBKVlHREFs3ETX3P4sqeM9lSuB+HdNIzLImkkLZTGTQQ8ir+oOGvIpLc8uUqKalHvC2Sf468nKyKQrYXpaMhGBLdjWiL7+vHvLfvdwTe/wrv7f2dS3qM79DdAP7w1d4tzFn2HRJZM6tmdXYaL2/+nScmzOKCPm2jqJ8SXFRS0oGFmmyMjRsQ6DDaDCnrdhk0Z7+OKsEWRYKt8d1b5U47e4qzvO4jcZebL7CXEWNVi+W1ljVZadz+27d1xqdVl/W/a/n3dA2PYkLn7oEIr+0SNLOlpMUiCRg10FVRfBRp9aW5WSPS2rEXFWstjWn5UK0kreuVLX94vXZqQvDK5hX+C6idUANdVUuJovgsyjqECMtAiu07qV7NuC5JSsSF/gyrw7DpZvpGJLK7OKvetW/A/UUxJSyWKHPwrZ3iMFwsObSHg6UFhJssnNSlL51sba81x+5y8VPabq+F0FxS8uuhfZQ57ISaVZE6xXcqKVGURhga/wR/HLoUQ1YgayUmGmAwIPYeQsyttx5OsHFJg53F6ZQ5K0gKiSW5lcclXd5rAvdv+NLj/RL4v54Tgq6l5NvUrTy0ZiF5lWVoCAwk+mrBxb1H8veRJ2PR285soUqX06fKrBIodzlVUtIYgub1XwTh6iCNpZISRWmECEtfJnSZx+6858ksW0j1p0CEpT+9o28kMWx6YAP0EyklX6ev4N39P5FdWVizfUR0L/7c9wz6R7bOEgVnpoxgZc4+vk3fgEDUtJhUD36dnjSIC3oE14q+36du49blX9b8XD0OwyUlH+xeR25FKf+ZdG7QJVKehJktRFlsFNorvO9ncu+nNIKafaOSEqX9krISaRQitAiED+vm+CrM3IPhic8w0FVApSsLkwjrUK0jAG/sXcC7+3+qs31jwT7+vOZFnht1A4OjWn6QoyY0Hh15DmM79eS9vb+zq/gwAD3D47ms53Gc2917kTZ/cxoGD69d5PF+iWR+2g7W5KQxJr5tVDLVhODSfiN4bcsfNQNbj6ULwcV9h2NqYAE+RTmWSkqUdsfl3EdF8Ys4yr/AvU6Ojtk2E2vEXzCZW24QqkWPxuKH1YKDzf7Sw/UmJOBuBXAaLp7Y+gnvHndHq3z714TGOd1GcU63UZQ5KwEINQXn4oTLD+8nu6LE6z660Ji3d0ObSUoArhs0jq/3bSWzrLhOYqILQSdbGDcMUbViGqu5g1Ub+9gePXpw4MCBOttvuukmXnzxxSbH0RwqjVXaFad9E8XZs3CUf8qRhftcOCoWUJJ9Jo6KXwIZXrvwdfoKr60RBpIDZVlsLqz7YdfSQk3WoE1IANJKCxrcxyUNDpY0vF8wibWF8vmsyzk+qUed+45L7MYXp84mPqTtDeINONECt0ZYtWoVGRkZNbdFi9ytehdccEELPJmmUS0lSrshpUFZ/g0gK6g7O8YFSErzbyAqcQ1CC63nCIov9hRn1CkVX599pZkMje7R+gEFsUgfxlRoCJ/2CzaJoRG8M/0iDhTnsyorDYBR8V3oFRkb4MgUX8XHx9f6+YknnqB3795MmTIlQBGppERpR5yVSzFcqV72MECWYC//CmvYJX6Lq72xaKYGq6oCmOtZNK+jmZLUG5tuosLluaCegeT07oP8GFXL6h4RQ/eImECH0T600EDXoqKiWputVitWq/cWRbvdznvvvcecOXMCOuhadd8o7YbTvoaG82wdl321P8JptyZ0GtjgPhqCsbF9/RBNcIswW7m6/ziP9+tC0CM8hhld+vsxKiVYSa35N4CUlBSioqJqbnPnzm3w3F9++SUFBQVceeWVrfskG6C+yijthju7b+j7ezO/iSjMTBrNG3sXUOqsqFNmHNwJybTEEXSyqpWSAW4bcgK5FWV8vHc9utBwSQNdCFxS0i08hnenXtKm6pQoraiFWkoOHjxIZGRkzeaGWkkA3njjDWbNmkVycnLTz98CVFKitBu6ZSyeK61Wc6JbPH9zVRoWZrLx1IhrmbPuNSpc9prEpLoo2KCobvx1wHkBjjJ46JrG4+NOZXa/MXy8Z31NRddZ3QYyLbmvmjartLjIyMhaSUlDDhw4wI8//sjnn3/eilH5RiUlSrthskxC03thuA5Qf3KiIUQElpAz/B1auzMoqhvvTbiLb9JX8OPh9ZQ6K+gSEsdZXY7jxMThajxJPQZEJ/DA6BmBDkMJYlK4b815fFO89dZbJCQkcNpppzX95C1EfXIo7YYQgrDYVynJOR8pS6idmOiAidDY11u0kFpH1skayVW9ZnBVL3WhVZQWEYCKroZh8NZbb3HFFVdgMgU+JVDthkq7opsHEBE/H0vYbBDV037NmEPOJSL+e8zWCQGNT1EUJZj8+OOPpKamcvXVVwc6FEC1lCjtkGbqSmjUw4REPgiyFEQoQqiBhIqiBLkmFECr8/hGmjFjBtKHBRb9RSUlSrslhAYiItBhKIqi+MTfZeaDkeq+URRFURQlKKiWEkVRFEUJBhrNaypoB80MKilRFEVRlCCgum9UUqIEgJQuXJXLMFx7QYRisk5F0xMCHVarcUkHu4r/IK8yHbNmpW/EcURbOgc6LEVRlKCjkhLFr5wVSygvuBtpZEDNsm465pDzsUU/ghBtb7VUb7YVLWV+xn+ocBWjoSMx+PHwawyIPJ5Tk27DqqvVihVFqRKA2TfBRiUlit84K36lLO9KjqxPU/1/F47yT3A5tmCLvA/dOgYhGl6rIdjtLP6dL9OOLIRlHFXMbUfRckqdBVzafS6amq6sKA2SUrI+J4ODxQVEWKxM6NwdWxAU+2pJgaroGkza119UCVpSSiqKHsCdiNQ3J15iODdTmXcZmhaDKfxPmMKud0/rbYOkNPgx8zXP92NwsGwze0pW0TfiOD9Gpihtz2+H9vPAH4vYU5hXsy3SbOX6oeO5cehxaO1gLAUQkIquwSbgn/gvvfQSPXv2xGazMXr0aJYuXep1//fff5/hw4cTGhpKUlISV111Fbm5uX6KVmkqw7EBw7mHhlbxNTBAFuAs/ieOwvv9E1wrSCvfRqHjsNd9BBrr8xf4KSJFaZt+Sd/L7EWfsLcwv9b2IkclT639lYf++DFAkSmtIaBJyccff8xtt93Gfffdx7p165g8eTKzZs0iNTW13v1/++03Zs+ezTXXXMOWLVuYN28eq1at4tprr/Vz5EpjGa6DPu13dMriKn8fw76+VeJpbUWO7Ab3kRgNJi6K0pEZUnLv8gVIKZEevtC8s30t2/Ky/BxZ65Ac6cJp0i3QT6AFBDQpeeaZZ7jmmmu49tprGThwIM8++ywpKSm8/PLL9e6/YsUKevTowS233ELPnj05/vjjuf7661m9erWfI1caS/hYWbV246OOs+zD1gin1YXoDT9fgSBU9315cUXpaJZnHOBQaZHXi60uBB/t3OC3mFqVaIFbGxewpMRut7NmzRpmzKi9wuiMGTNYvnx5vY+ZOHEiaWlpfP/990gpOXz4MJ9++mlQLLeseKdbjwPR8AVY1HpXuTCcO1ovqFbULXQYtgYSE4lkcNRJfopIUdqefUV5DV5nXVLWGmuitG0BS0pycnJwuVwkJibW2p6YmEhmZma9j5k4cSLvv/8+F110ERaLhc6dOxMdHc0LL7zg8TyVlZUUFRXVuin+J4QNa/hNDe6nHfMRJERIa4XUqkyamUmdLvF4v0AjypzIoKgT/BiVorQtISZzg10SGoIws9kv8bQ6TTT/1sYFfKCrOGa0sJSyzrZqW7du5ZZbbuH+++9nzZo1zJ8/n3379nHDDTd4PP7cuXOJioqquaWkpLRo/IrvLOE3Ygm7puqnutNgTWjH/O0Fum1Gnf3airGxZzGx08WAOwkRCETV846xJHFp9ycwa+2rLouitKSpXXqhNzCjxEAyo1s/P0XUupo1nqSZ04mDRcCmBHfq1Ald1+u0imRlZdVpPak2d+5cJk2axJ133gnAsGHDCAsLY/LkyTz66KMkJSXVecy9997LnDlzan4uKipSiUmACCGwRT2AOfRiHGUf4ChfAEYGGu5um9oJiQYiHD3kvECF22xCCKYkzGZ49Aw2FCwgz56OWdjoHzmR3uFjVX0SRWlAp5AwLugzlE92bcKop81EF4L4kDBO69E/ANEprSFgSYnFYmH06NEsWrSIc845p2b7okWLOOuss+p9TFlZGaZjiuXouvuDXcr6G/msVitWa9svxNWe6Ob+6FEPYY38G/b8GzAql+BuOakuLuZOSKyx7yC0tj8QNNrSmSkJVwQ6DEVpkx4cfzKZZSUsSd+LLgQuKWs6eWNtobw34yJspnbSfaMquga2eNqcOXO4/PLLGTNmDBMmTOC1114jNTW1pjvm3nvvJT09nXfffReAM844g+uuu46XX36ZmTNnkpGRwW233ca4ceNITk4O5FNRmkAIK5aYNzAqF+Msex/p3FvVOnI6ppALEXpcoENUFCXAbCYTb04/n1/T9/HhzvXsLyogymrjjJ4DOaf3IMLN7edLp6roGuCk5KKLLiI3N5eHH36YjIwMhgwZwvfff0/37t0ByMjIqFWz5Morr6S4uJj//Oc//PWvfyU6OpqTTjqJJ598MlBPQWkmITR023R02/RAh6IoSpDShGBq115M7dor0KG0LlXRFSE99Xu0U0VFRURFRVFYWEhkZNvvGlAURVFajz+uGdXnOO60RzCZmz743emoYMV3/2jT1ze19o2iKIqiBAHVfaOSEkVRFEUJDmqga+DrlCiKoiiKooBqKQlaBwsLySktpVNYGClRUYEOR1EUpcmklKzNTmfBgV2UOu30iIjh3D5DiLOFBjq0oKK6b1RSEnR+T03l6d+WsS4jo2bbiKQk5kyaxKTu3QIYmVLiOMyuovkUOzKw6hH0DD+RhJBBgQ5LCRJOw+DnQ7tZlX0QKSUjO3Xh5K79MGsdu0heTnkpf1r8BWuz0zEJd+O8S0qeXPMLd44+geuHjA9whEFEzb5RSUkwWbBrFzd/822d7RszM7nys8944fTTOKVf+yin3JZIKVmV8yob8z+oWjDQ/cbflP8RSSGjmJ78KFYfVgVW2q9NeRncsPQzMsqKai68b+xYSSdbGC8efy5j4ztmFWmH4eLyhR+zsyAHAKc0au5zSsnc1UsIN1u5rP+IAEWoBBs1piRIlDsc3DV/AVJKjGNmaRtSIqXkrgULKXM4AhRhx7U+7x025r+Pe11fA4kLWVV9NrN8PQvT7/ZYUVhp/1JL8rnsp/c5XF4MuC+81RffvIoyZv/8ITsLswMZYsAsOLCTbfnZuLy8P55e+ysOw+Xx/o5ErX2jkpKg8f3OnZTY7R5XxJRAqd3Od9t3+DOsDs/uKmV93nse75cYHK7YxKHyNX6MSgkmr2/7g3KXo86XCXAvFuc0XLy0ZXkAIgu8z/dsQWugSyGvspxlhw74KaIgJ1rg1sappCRIbMvKxqR5/3OYNI2t2Vl+ikgBSC1dhktWet1HoLO7aKGfIlKCiSEln+/b5LUlwCUl36duo8LZ8Vo5s8pL6k3WjpVbUeaHaJS2QCUlQaKhhKRaRx8052/lrnxEA28TiYtyZ76fIlKCSYXLQbmr4WTDKQ0K7RU+HTOtpIClGftYk53W5rs1OodGNNhSApAQGuaHaIKf1Jp/a+vUQNcgMblHD15fvdrrPk7DYErPHv4JSAEg1NQJieF1H4FOmKmTnyJSgolNN2PTTVS4nF7304VGpMV7+fDt+Vk8uuYnlmXur9kWaw3l+sHHce3AcT5d3IPN+X2G8uPB3V73iQ8JY0Ln7n6KKMip4mmqpSRYTOyWQp/YWHQPHzy6EPSOjWVCNzUt2J+6h03CLLzXUpC46Bs1y08RKcFEE4Jzew71+L4F93t3VsoAQkxmj/tszT/MeQveZcXh2mMr8irLmLt2MfevXNBiMfvT9JQ+DO+U5PX3c9eoKT63FLd3aqCrSkqChhCC1845m06hoXW+EWlCEBcayqtnn9Umvy21ZSbNxqhOV3u8X6DRNXQ8ibahfoxKCSbXDhiPVTfV+97UEJiExk2DJ3o9xt//WECly+lxbMr7u9axNjutReL1J5Om8c7JFzChs/vLlC4EZk1DAFZd5+HxJ3NBX/XeUY5Q3TdBpHt0NN9fMZuPNm7ik82bySkro1NoCBcMGcrFw4YSExIS6BA7pCHRF2JIJ2ty38CQTjT0qqnBBj3CpzCl898QKlnssHpExPL+SZdxw9JPOVxeUlOnxCkNoq02Xjz+XAZEJ3h8/K6CHNblpHs9hy403tu5jlHxXVs0dn+Itobw3syL2ZqXxYIDOylz2ukeEcOZvQYRabEGOrzgooqnqaQk2ESHhHDD+HHcMH5coENRqgghGB57GQOizmRP8Y+UODKxaGH0jDiRKEvHLIql1DY8LpmlZ97Mj+k7WZl1EHBXdJ3ZdQAW3fvgdF9qmLikwbb8tj3zblBsAoNiPSdnilt76IJpDpWUKIqPrHoEg6LPCXQYSpAyaRqnpAzglJQBjXqcRfPtY9hmUh/XSvunxpQoiqIE0PjEFKy694RDQzCjq1piot1TxdNUUtJROIxKdhWvZFPBYlJLNyOl92muiqL4R6TFxmV9R6J5uKIIBDaTiQv6DPNzZIq/qdk3qvum3ZNS8nvOZyzP+YRK40jVxChzAid3vo7+kRMCGJ2iKAB3jZzKnqJcfjm0F02ImiqomhBYNRNvTL2ATjZVYExp/1RS0s79dPhN/sj9os72QkcWnx58jHO73sPAqOMDEJmiKNWsujvxWJS2i/d3rmV3US6hJjOndhvApX1HkhQWGegQFX9QxdNUUtKe5Vam1ZuQHG1+xsv0izwOXaiXgqIEkq5pnNKtP6d06x/oUJQAaW4XTFMem56ezt13380PP/xAeXk5/fr144033mD06NFND6QZ1JWoHVufvxCB5rVMepmrkN3Fq1Q3jqIoSgeTn5/PpEmTOPHEE/nhhx9ISEhgz549REdHBywmlZS0Y3n2Qz6s26KRZz/kp4gURVEUj/zcffPkk0+SkpLCW2+9VbOtR48ezQig+dTsm3bMooX4sMKtxKKpSrGBJqVkS+FW3jvwAW/ue5sfMhZQ5CgOdFiKoviRv2fffP3114wZM4YLLriAhIQERo4cyeuvv946T85HqqWkHesfOYHNhT973UcAfSM6XvVYKQ0Ol69gX9HXlDkzsemxdIuYRZewqWjC88JprSG3Mo9/73yOg+Vp6OggJIaUzEv7jItTLmBG55P9Go+itHWpxQX8lr6fSsPFwJh4xndOaRtLQbRQS0lRUVGtzVarFau1bkn/vXv38vLLLzNnzhz+9re/sXLlSm655RasViuzZ89uRiBNp5KSdqxfxHhiLMkU2DPr7cYRCIZEnUikuVMAogsch1HKsozbya5Yg0BH4gI0DpX9QqSlN1OSXsJm8s/vpNJVyRPbnyKnMgcAFy6oWpPNJV28n/oRoXoox8dP8ks8itKWFVZWcMfS71mUuhuJ+xotgZ6RMfxr8qmMSewS4Aj9IyWl9vIXDzzwAA8++GCd/QzDYMyYMTz++OMAjBw5ki1btvDyyy8HLClR3TftmCZ0Lu3+MFHmeMCdhABoVX/2HmEjmJV8U8DiC5RVWQ+QU7EOoCohAaqStmL7fn7LuA3pYbXWlvZ77h9kVWZheBn782naFxiq2J3SDHuL8rj/j0WM/Ph5+r/3L6Z/9V/e3raGcqcj0KG1mAqng0t++IifDu6pzutr/n+gqIBL53/EppzMQIXnEylEs28ABw8epLCwsOZ277331nu+pKQkBg0aVGvbwIEDSU1NbfXn6olqKWnnoi2d+VOfl9hW9BubC5ZQ7ioi2tKZETEz6BU2EiE6Vl5abD9AeqnnLi2Ji3z7NrIrVpMQMrbV41mWsxyBQOI5Ccp35LOrZDf9I1SZcaXxfj20j2sXf4ZLGriqku09hbk8tOpHPt69gY9mXEqU1RbgKJvviz1b2ZJX/6KFBhKHYTB31S98MOsiP0fWCC3UfRMZGUlkZMO1bSZNmsSOHTtqbdu5cyfdu3dvRhDNo5KSDsCsWRkWPY1h0dMCHUrApZcuaXCatEAnrWSxX5KSQmeR14SkWrEa9Ko0QV5FGX/6+XMchqvWq6z63zsLcrh3xXxemnJ2AKJrWe9vX1/TXVMfQ0qWZRwgvaSILuGqGB3A7bffzsSJE3n88ce58MILWblyJa+99hqvvfZawGLqWF+TlQ7PKUvx5WXvNEpbPxgg1hxT063mTbQluvWDUdqdebs3UelyerxQu6TkhwM7OFRa5GGPtuNgSaEP6T2klxS2eixN5e/ZN2PHjuWLL77gww8/ZMiQITzyyCM8++yzXHbZZa3zBH2gWko6GEM6SS/9lX1FX1PqzMCqx9Aj4lS6hc/ApLX9JtyGhJu6InE2sJck3NzVL/FMjj+ebcXbve6TYI2nd1gvv8SjtC+/HtrX4IVaAisyUzm39xB/hNRqIi02CiorfNovaAWgzPzpp5/O6aef3oyTtizVUtKB2F0lLE67juWZd5NZ9jtF9r1kl69lVdYjzE+9hFJHcA8CqyalxOE8RKVjL8ZRiwz6omv4dHThvS6LRNIj8szmhOizcbFjSAnpWjP4uD4XpVzQNqYzKkHHbrga3glwGm1/IPXZvQeieXmfCNyzcPrHdKzZhm2NSko6kD8O309e5VaAo8ZUuL9HlTkz+PXQrcggn+VRUPY1uw/PYHvGOHZmnsDW9KGk5d2Fw+VbQmXSQhnRaY7XfQbGXEOoqXNLhNsgs2bm7gF31Axi1dDQhQ6AVbPyp17XMCY2MGtQKG3f8E5J6D4ktIPjEv0QTev6vwEjCDOZPSYmErh15MTgTvBFC9zaONV900EU2fdzqGypx/slLooce8ks+4OksOBcByer8DkOFz3F0e88SSX5pR9TXP4jvRO/wWJquA5Br8hz0YWVjbnPUeHKrdlu1sIZGHMt/aL+rzXC9yjCHME9A+/kQGkq6wrWYzfsJNk6My52LFa9bsEjf5FSsqPoEOlleYSZbIyM7YFV929hOU+klOwtzqXMZadLaBSx1rBAhxSULu03gje2rvJ4vy4Eg2MTGRzb9pOSxNAI3jvlIq5YOI+CyoqaWW26EBhScs+YKZzTe3Cgw/QqEAvyBRuVlHQQh0qX+jTrJL10SVAmJeX2rVUJCdQdX+/CaeSSnn8vPePf9el43SNOIyV8JlnlKyl3ZmPVo0kMOQ5dC1wS0D2sG93DugXs/Edbm7ePp7Z+ze7iwzXbIkw2Zveawuxek9ECOJX8ywMbeWn7UvaX5AGgIZie3J85Q06kV4Rqmj9ar8hY7hk1lblrl9SZmaILQYjJzFMTTw1UeC1uRHwSv194A1/t3cbPaXuxu1wMjI3nkv7D6RYRHejwFB+opKSDcBrluHvrvHXPSJyy3E8RNU5eybuADnjqI3dRUvEzdudBLKYUD/vUpgkTnUMntlSI7cbq3D3cvOotjGMKyBU7K3hx5wKyKgq5a7B/xtwc68Vtv/Lc1l9qtVIbSH7K2MHyrH18NPVK+kUlBCS2YHX9kPEkh0Xyn03L2VHgrhysCcEp3frz15GT6RUZG+AIW1ao2cIl/YdzSf/hgQ6l8QIw0DXYqKSkg4iwdPNh1glEmANXNMebUvtqPCck1STl9k0+JyVKXVJKHtv8BYaUHuunzEtdwVkpY+gfmezX2HYVZfHc1l+AetrKpKTcZee+Nd8w76Rr/BpXW3BGz4Gc3mMAqSUFlDjsJIdGEmNTC3EGG9V9owa6dhhdw07ErIV73ce9RsQZ/gmokQS6b/sJlWc3x7r8/aSV5Xkt6KYLjS8Oeh6n0Fo+2rvW66BNl5RsyD/E9sLDHvfpyIQQdI+IYXBsokpIgpUa6KqSko5C16yMjr/b6z5DY68n1BScTd8RtinQYGJiItSiZqo0x/6S7Ab3cUmDfcX+v/Bvyj9UUybdm20FbWNqu6IodamkpAPpHnEKkzo/SZipdrO7VY9hdPzdDIy5KkCRNSw2/PIG9tCJDj0Xkx7nl3jaK5sPs2sEghCT/wcEWzTfWsHMmm+taooSbPxd0TUYqbbuDqZr+El0CZtKTsUmyp2HserRxIeMQgvybg+LKYWUuOc5mPsX3G2ULgwJdmnCKQWaFkGkloLdmY3FFB/ocNusCZ36ogsNl5d6NRLJ1MRBHu9vLSd07s2qnFSvXUuaEIzrFJzjohTFJ+0gsWgO1VLSAQmhER8ynG4RM0gMHRf0CUm16NCz6JP4HdGhZ+GUNooMKxXShBMdu1FGauHLrEybzOGSLwIdapsVYw3nrK5jPK7HoyGItYQxM8n/MxvO7zECq657/MzWhOD0lCEkhET4NS5FUVqOSkqUNiXEMpTYiD9Tapio+/I1kDjZmXMXBeW/ByK8dmHOwNOY0Kkv4E5Cqgkg0hzCf8ZeTYjJ4ve4Yq1hvDzhIsyaXmvAa/W/Bkd35sERs/wel6K0GDXQVXXfKG1PWuF/cc8V8tSMLzhY+DLRIcFXBK4tsOpm/j1mNr9n7+LzgytJLc0hwmzj5KRhnN5lFBHmwM3cmJTYi+9OvoH396zmu7QtlDrtdA+L4ZJeYzin+zCsuvpIU9ouNSVYJSVKGyOlJLv0O6TXmiUGBRXLcbgKMetRfoutPdGExqSE/kxK6B/oUOroHh7L34bP4G/DZwQ6FEVRWphKSpRWZRiFVJR9TEXZPKSRi6Z3xhZ6MbaQ8xFaaKOPJ3Egsfu0r0uWYEYlJYqitBGqoqtKSpTW43LupyDnPAyjuqaFxDCyKCncQHnJf4nqNA9db9xCYJqwYNZicRh5XvcTuPdTFEVpK7x1Svv6+LZODXRVWoWULgpzL8cwsqn9VnP/3+XaT1Hen5p07M4Rl+D9pauTEH4WuqaqViqKorQlqqVEaRX2yiW4XHu97OHC6ViNw74Bs6Vx00u7RF5BVskXVLoOU3c9HB2TFk5M6OkUVu4kzJyCSSUnSgclpWR1VjoLUndS5nTQMzKGc3sPIc7W+K5TxQ/aaPeN3W4nKysLw6hd36hbt8aveq6SEqVV2CsW4355eVsEUMdeubjRSYlZj2V40sfsyP4rhZUrOfJOlJi0eAoMjaUZN7vPIELoEXk2A2NuxKKr+hVKx5FVXsKfFn/O+pwMTMLdsmhIyZNrfuGe0VO4dvC4AEdYV4mjkm/2bie1uIAws4WZ3fvRN7oDVWluY0nJrl27uPrqq1m+fHmt7VJKhBC4XA0tolqXSkqUVlLpwz4CKSuadHSrKYlhSR9Qat9JYcUqJC4OlPxCRvk6ju5Zdcly9hZ+TFbZH0zp8rZKTJQOodLl5P8WfsyewlwAnEdV6DWk5NHVPxNmtnBJvxEBirCu97ev5+E/FlPhcmLWNAwpeWrNUqal9ObZKacTafH/0gb+1tamBF955ZWYTCa+/fZbkpKSEF4WzPSVSkqUVqGb+lG3a+VYTkymAc06T5ilH2GWfqQWf09m+dp695EYlDgOsD3/VYZ1uqNZ51OUtmD+gZ3sLMjxus/T65ZyQZ9hmLTADy38dNdm/rZ8Yc3PjqO6AZak7eXqRZ/y8axL0IMgVuWI9evXs2bNGgYMaN7n+NHUX1hpFbbQ8/Ge8wqEiMQa0jIVOPcUfoi3l7PExb6iL3AZTWuZUVqGlBKn4XldHaVlfLZnc61qvPXJqShjRWaqnyLyzGG4eHzVEo/3u6Rk1eF0lqTv819QgdLGKroOGjSInBzvyW9jqZYSpVVoWizhUY9RUngX7nfK0ZPV3O+ciOinEcLWIucrrNwBeL/YuWQZpc50Ii29W+Sciu9WZu/nrd2/s/TwLlxS0i0slkt7jeXinmNUFdZWkFVeguHDBNHcijI/ROPd8kOpDcahC8G8nZuYltK+37ttrfvmySef5K677uLxxx9n6NChmM21VxmPjIxs9DHVp4HSakLCLkPToigterLWTBzdNJDwyPuw2Ka22LmE0EE6Gt5PveT97r09f/DYxvnoQuCS7gvlwdI8nty0gPnpW3hj0uWEBmAtnfYsKTSCXQU5Nb9vT+JDwvwUkWeHy0oa3MclJZllxX6IRmmM6dOnAzBt2rRa29VAVyVoWUNOx2I7DZdzC4YrD01PxGRu+dLlCSHHkVm21Gv5+RA9gXBz1xY/t+LZ1oIMHts4H6DWBbL6Xxvz0nl262L+NuyUAETXfp3fZyg/p3ubkg+dQ8MZn5jip4g8i7M1PGVfE4I4W+ATqFbXxmbf/Pzzzy1+TJWUKK1OCIHJPATMDe/bVH2iLyOjbEkD+1zublFR/Ob9PSvRhYZL1t+1ZiCZt38ttw46iTDVWtJiZnTry5C4RLblZXlsLbl71NSgGDh6fJceRFqsFNk9z9gzpOTcPoP9GFWAtLGkZMqUKS1+zIC/Il966SV69uyJzWZj9OjRLF261Ov+lZWV3HfffXTv3h2r1Urv3r158803/RStEqziQ8YwJO52AARHJx7ul3jX8FPoE3VpACLr2H7P3usxIalW4XKwrSDDTxF1DGZN53/TL2J8ort4lS4EZs099NWmm3h8wkzO6R0cF3mrbuL2kZM83q8LwYCYeGZ07+PHqBRfFRQU8PTTT3Pttddy3XXX8e9//5vCwsImHy+gLSUff/wxt912Gy+99BKTJk3i1VdfZdasWWzdutVjJbgLL7yQw4cP88Ybb9CnTx+ysrJwOr0V6FLaOrsrj+LKDUgkEZYhWE0J9e7XL3o2sdYh7C58n6yyFUhcRFsH0TvqYrqETUeIgOfgHU5DYxqqGT7uFyhSSjbnZXK4vIQ4WyjD45LRWqAmQ2uKsYXwwcyL2ZJ3mAWpOyl3OOgZFcsZPQYSEWQ1P64aNJpih51n1y0DqJk55JQGQ+M689+Tz8Wstf9WzrY20HX16tXMnDmTkJAQxo0bh5SSZ555hscee4yFCxcyatSoRh9TSBm4T4Px48czatQoXn755ZptAwcO5Oyzz2bu3Ll19p8/fz4XX3wxe/fuJTa2aYutFRUVERUVRWFhYZNGBiv+43AVsjvvUbJLvz1qrIhGfOgM+sTdj0XvFND4lIbdvnIeiw5t99paYtZ0fp31V6ItwbkcwI9pu5i7bjF7i44sAtk1LIo7R0zhzB7B0drQXhwuK+bTXVvYX5RPuNnCrB79GJvYtaYol5SS/MpyHIZBJ1uoX7qf/HHNqD5Hv78+jm5t+oxEV2UFO5/+m9+ub5MnT6ZPnz68/vrrmEzuNg6n08m1117L3r17+fXXXxt9zIC1lNjtdtasWcM999xTa/uMGTPqlKyt9vXXXzNmzBj++c9/8r///Y+wsDDOPPNMHnnkEUJCgvMDTWkap1HC+sxLKXPspXYRNoPsskUU27cwKulTzHpMoEJUfHBZr3HMT9/q8X5dCE7rOiRoE5Kv92/htmVf19meVlrIrcu+ptBeweX9RgcgsvYpMTSCPw8/rs52KSVf7NnKa5tWsi0/G4BYWwizB4zk+qHjCDWr8UiBsHr16loJCYDJZOKuu+5izJgxTTpmwNqzc3JycLlcJCbWXro+MTGRzMzMeh+zd+9efvvtNzZv3swXX3zBs88+y6effsqf//xnj+eprKykqKio1k0JfulF/6PMsYf6q8K6qHAeIrXwNX+H1ShSSoodJZQ6ywhgg2RAjenUnev6uccLHNuyrAlBSlgsdw2Z4f/AfFDudHDfyvlel5N/ZM2P5FcGvtZHeyal5OE/FnP7r9+xoyohAcirKOf5Db9zwfcfUuqwBzDCFtTGiqdFRkaSmlq3AN/BgweJiGjakh4B72Q/tlZ+9fzm+hiGgRCC999/n3HjxnHqqafyzDPP8Pbbb1NeXl7vY+bOnUtUVFTNLSUl8FPgFO+klBwqfh/vxdBcZBR/jOFDbRJ/cxpOfshYyJz193DT2tu4Yc0t3LvpAX7J+q1DJie3D5rGU2POpV/kkS8g4SYrV/Y+jo+mXEOMNThXrP0+dTslDVzsnIbBZ3s3+ymijumX9H28uXUNUPcTwZCSrXlZPL32N/8H1gqqx5Q05+ZPF110Eddccw0ff/wxBw8eJC0tjY8++ohrr72WSy65pEnHDFj3TadOndB1vU6rSFZWVp3Wk2pJSUl06dKFqKiomm0DBw5ESklaWhp9+/at85h7772XOXPm1PxcVFSkEhMPHM4MnEYOJi0Osyk5YHEYsgK7K6vB/VyyBIcr3+PA10BwGk7+teM5thZtRx71/fpQeQb/3fc2u0p2c03PK1pk4aq2QgjB6SlDOa3rEHIrS6k0nMTbIrAE+cDF3YU5mIRWazG7Y+lCY3dhy5bZVmp7a+uaWoX3jmVIyYc7NnDn6MmEmFqx7oA/tLEpwf/6178QQjB79uyaCSdms5kbb7yRJ554oknHDFhLicViYfTo0SxatKjW9kWLFjFx4sR6HzNp0iQOHTpEScmRCoA7d+5E0zS6dq2/KJbVaiUyMrLWTamtrHIl+7POZ1fGGPYdPoVdGWPZf/hcSit+D0g8mjDj67tLb6Ey9S3l+4wFdRISoObnX7J/Y0XeqkCEFnBCCDrZwukSGh30CQm4p84e+3esdz+TKvfUmtYcPtTgLK4yp4PdBbl+ikipZrFYeO6558jPz2f9+vWsW7eOvLw8/v3vf2O1Nm2GV0C7b+bMmcN///tf3nzzTbZt28btt99OamoqN9xwA+Bu5Zg9e3bN/pdeeilxcXFcddVVbN26lV9//ZU777yTq6++Wg10baLi8h/Zn3U+ZZV/1NpeZl/FgewLKS5f0ORjS2nH7tiF3bEbKX2fti2EidiQKYC3C5dGpHUUJj14kkxDGiw8/JPXC5lAsDDzRz9GpTTVtK59G7wYOqXBtC51W2iVluNro2J7aH1sa9031UJDQxk6dCjDhg0jNLR53bEBTfEvuugicnNzefjhh8nIyGDIkCF8//33dO/eHYCMjIxag2jCw8NZtGgRf/nLXxgzZgxxcXFceOGFPProo4F6Cm2aIStIz70Fd0/tsR++BiBIz72Ffsnr0TTfkz5DlpNX9ByFJe9iyAIAdC2OqPCriY34M0I0PFI+Jepa8sp/8XYWUqL+5HNM/pBrz6PQ4X0gtUSyp2QfhjTQVN2UoDYktjPjElJYk51Wb3KiC0GvyDgmde7h/+A6kAlJ3fgxdbfXBDHSYqVPVJwfo2olbaD75txzz+Xtt98mMjKSc8891+u+n3/+eaOPH/B2x5tuuombbrqp3vvefvvtOtsGDBhQp8tHaZqisu8wpLfKexJDllBU9jXR4Rf5dExDlpOefREV9rXIqr54CRiuXHIKn6K0fDEpCZ8jhPe+32jbOPrGPcSu3AdwN+i5Z+EIdCQuesXcTafQk3yKyV9EIz4RGrOvEjgvTj6Hy378gJ2FOQgEElmz5nVyaCRvTr0w6IuotXVXDRrNggO7PN6vCcHlA0aqbjQ/iYqKqmmVioyMbPEWKvVXbCHpuYX8vv0Aq3ansS87H4lkQJd4Lpw4nKHdOwc6vHpV2Dfhfgl461oxUe7YRDS+JSUFxa/VJCT1fa8pt6/hYNbFpCTMa7DCanLExURbx3Ko+APyK34HJFHWsSRHXkq4ZYBP8fhTrCWGaHM0BY4Cj/sIBH3Ce7eLpuaOoJMtjK9nXcU3+7fyyZ4NZJQV08kWxvm9hnJ2zyGEqfoYrW5CUjduHzmJf69bVmvAa/U7aFxiV24ZUf84xDYpyD8a3nrrrZp/19dw0FwqKWmmwwUlPPrhjyzdsq9mmwQQsCsjmy9XbeWyySO4++ypQXchkkhc8qgp7h7CEz6+TKR0UVDylseEpFq5/Xfyil8kLvIvDR4z1NKbPnH/8On8gaYJjZmdp/HJwc89jiuRSE7pPN3PkSnNYdVNnN97GOf3HhboUDqs20ZOYmhcIv/dsprfM1KRQLeIaK4aNJpLBwzHqrePS1lbKzN/0kkn8fnnnxMdHV1re1FREWeffTaLFy9u9DHbx18yQPKKy7ji6Y/ILiyptV0AUoKsBMzw/tL1pMRFc9kJIwMS57HsrizSC/5FbunnVY3RZgQSszQwYRyTnDgJs53g03FdRg4uo+GpvAB5RS8SE3EdWpDNnmmuUzqfzPainWwo3FRre3XT/7SEqYyNVRVAlcCzu9xdohY9+GdCAUzr1odp3frgNAychqG6a4LAkiVLsNvr1vKpqKhocHFdT9RftRneWrSK7MISXEbdb8XV/c7CBdIEbyxexUWThmPSAzu40e7MZOvhs3G4sjm6WqoE7OgYgEVWJyY6ZlMK4bapPh7dVHOshhiyiPKK3wkLObEx4Qc9k2bitn5/5uesX1lw+EcOV7iTtO6h3Tgl6WQmxo0PuhYzxT92F+ayOisNKSWj4rvQPybe7zEYUvL5ns28uXU1W/Pcr83BsYlcPWgM5/Qe3CbGx5g0DZMf1rwJCD8PdH3wwQd56KGHam3zVlW92saNG2v+vXXr1lr7u1wu5s+fT5cuXRoXTBWVlDSR02Xw+fLN9SYk1QSA4W41yS4qZVtaVsDHl6TmP1QnIXGrWpUTHRMSHYGuxdCt0zs+r66ra7FYTP2ocOz0aX+XbJ8l/02aiZM7n8T0xBOpNCoRCKx6cK3KqvjPodIi/vrbt/x+uHY57jEJXXlm0ul0i4j2SxyGlPx16Xd8sXdLzSq8ANvysvjrb9+xLGM//zr+tDaRmCgtZ/Dgwfz445EyBboPLWcjRoxACIEQgpNOqjvhICQkhBdeeKFJ8aikpIkKS8sprWh4vYWj397l9sCWRHe4ssgvX4D38u3gFKEkRl5PbPgVmBqxEq8QguiI68nM+6tP+5v19l1ZVwiBTW9f3VNK4+RWlHHeD/8jq7ykzn3rstM554d3+e70q+gc2rR1Qhpj3q6NfLF3CwBHj/qq/vfne7ZwXOduXNhXjZ3pSEwmE507N+7L8r59+5BS0qtXL1auXEl8/JFWP4vFQkJCgk/JTb3xNOlRCjaLb+WMq9/6AujWKbq1wvFJmX0HDSUkAJoWT0KUb4nFsSJDL6a49FtKK3/2spfAYuqNzRIcY2wUpbX8d+tKsspL6q2x4ZKSgspyXtm8ggfHndzqsbyxdXVNt3J9BPDGllUqKQmglhroeuzCs1ar1WOF1V27dpGcnIzVamX8+PE8/vjj9OrVy+t5qmuJGUbD15PGaqcdc60vzGZhbL8Ur02d1bNwNF0woX93Ose0/rchb4TwLQf1db/6HytI7vQuVvMQT3sAgoSYR9TYCqVdk1Lywc71Xot+uaTkk90bawadtpZieyU7C3K8jveSwI6CHEocla0ai+JFC60SnJKSUmsh2rlz59Z7uvHjx/Puu++yYMECXn/9dTIzM5k4cSK5ub6V7J87dy5vvvlmne1vvvkmTz75pM9P+2gqKWmGq08ei+HhA6dmq8m9NsadZ/k2g6U1hVmGo4mGSgDrRNmaN/hU03S6JXxFVNilHCkV7363mPQkunR6lzDblGadQ1GCXanTTqG9osH9ypwOCuz1r3LeUhqzNnUHXMg6eLRQUnLw4EEKCwtrbvfee2+9p5s1axbnnXceQ4cOZfr06Xz33XcAvPPOOz6F++qrrzJgQN2aUYMHD+aVV17x7TkfQ3XfNMOEgd2576KTePyTxWhC1Ax6rX5PSx2G9Uji/gum06ez72MzWouuhRIffimHi9/EczeOJCHi/5p9Lk0LoXPsv+gUdTelFYsxjDIs5l6EWif7PHBWUdoym272urptNQGEmVq3CFuE2UL3iGhSiwu8dt/0iIwhXBWEa/OauvhsWFgYQ4cOZdcuzxV0j5aZmUlSUlKd7fHx8WRkZDT6/NACSUlFRQU2W8cdzHfB5OGMH9CdT5duZM3uNAwp6RwXydh+XRnXLyUokpGjdY2+gzL7Voorl+NuKKtOTnRA0jPuaULMfVrsfCY9nqgw36rBKkp7YtI0ZqT0Y+HBnR4TE10Ijk/q0eqVYYUQXDNoLA/84X2JjqsHjVHdqoHU3EX1mvmnq6ysZNu2bUyePNmn/VNSUli2bBk9e/astX3ZsmUkJyc3KYYmJSWGYfDYY4/xyiuvcPjwYXbu3EmvXr34xz/+QY8ePbjmmmuaFExb1S0+mjnnBr57xheasNEv4R1yS78gq/h/lDt3oWEhOmQGiZFXEmbxNBZEUZTGumHIcSw4uNPjAFNDSm4cMsEvsVzafwS/HtrHTwd3A7UH4QNMT+nDJf1G+CUWxQM/1ym54447OOOMM+jWrRtZWVk8+uijFBUVccUVV/j0+GuvvZbbbrsNh8NRMzX4p59+4q677uKvf23aZIkmJSWPPvoo77zzDv/85z+57rrrarYPHTqUf//73x0uKWlrNGEmPvxC4sMvDHQoitKuDe+UxIsnnMUtS7/BZRg10281IRAInpp4Ksd17uaXWEyaxisnnsO729fy5tbVpJW4F+PsGh7FVYPGMHvAqFYtSlbhdPLDgR2sz85AF4LjOnfjpJTe7bcQWhuQlpbGJZdcQk5ODvHx8Rx33HGsWLGiZnZNQ+666y7y8vK46aabaiq72mw27r77bo/jWBoipGz8sKY+ffrw6quvMm3aNCIiItiwYQO9evVi+/btTJgwgfz8/CYF4w9FRUVERUVRWFjYpD43RVGUxsouL+XjXRv4o6qA2uiErlzcd7hf6pPUR0pJbkUZAHG20FbvsvktfT9//vlrCuwVmKrGlDmlQVJYBG9MP5fBcYmtev7m8Mc1o/ocPR98HK0ZwyGMigr2Pfg3v1/fSkpK2LZtGyEhIfTt29fj9GNfNKmlJD09nT596o47MAwDhyOwBcIURVGCTXxIGDcPm8jNBMdqtkIIOoWE+eVcm3IyuXLRpzirJgI45ZFB9lllJVz8w0f8cPaVdA2P8ks8Qc3P3TctJTw8nLFjx7bIsZrUbjZ48OB6F9uZN28eI0eqgliKoiiK23Prl2NIWe/K2S4pKXXYeXPLmgBEpjRXaWkp//jHP5g4cSJ9+vShV69etW5N0aSWkgceeIDLL7+c9PR0DMPg888/Z8eOHbz77rt8++23TQpEURRFaV8KKyv4MXW31zopLimZt2sT94+vu4ZKhyOk+9acx/vRtddeyy+//MLll19OUlJSi3QDNikpOeOMM/j44495/PHHEUJw//33M2rUKL755htOPrn1yyUrHVOZM4fD5ZsASbxtEOHmwC5uqCiKdwWV5T4VbiuyV+IyDPQOPui1pcrM+8sPP/zAd999x6RJk1rsmE2uUzJz5kxmzpzZYoEoiicVrgKWH36a/SW/cHTRt5SwiUxMuJMws/+XgFcUpWHR1hA0ITxWvq4WabF2+ISkLYqJiSE2NrZFj6leBUpQs7tK+C71Jg4ck5AApJX+wbcHr6fcGbyzvRSlI4uy2pie0hvdS7O+LgQX9h3qx6iCWAuVmfeXRx55hPvvv5+ysrIWO6bPLSUxMTE+9xfl5eU1OSBFOdqWgnkUOdKQ9ZTFl7goc+awIe9djku4NQDRKYrSkFtHTuLntH1IeaROSzVdCMLNFq4ZPCZA0QWZNjb75umnn2bPnj0kJibSo0cPzGZzrfvXrl3b6GP6nJQ8++yzjT64ojSHlJLtBV/Um5DU7IPBzsJvGRt/E7owe9xPUZTAGBKXyLszz+fPi78mr7LcXSxNHqlT8t/p55IcrmpGQdsbU3L22We3+DF9Tkp8LTurKC3FJe2UuxpudXPKciqcBY0aW1LoyCPfno1Fs9HZloKmFglUlFYzMak7f1x8EwsO7GRddUXXpG5M7dJTjSVpwx544IEWP2azF+QrLy+vUzBNVUr1ndNwsTxnB6mlOdh0M8fHD6RzSHSgwwoKmjAh0Ly2lFQzab5VQcysSOO7Q++xrXhdzbZYSwLTE85lbOxUtRiZorQSi65zRq+BnNFrYKBDCV5trPumNTQpKSktLeXuu+/mk08+ITc3t879Lper2YF1BL9mbeWJLV+QZy9BQyCRPL3tG6Z3Hsq9g88l1NT0Ur3tgSZ0UsImcbB0OZL6X1MCjYSQoVj1hst1Hyrfz392P4DDsNfanmfP4pO0V8hzZHNKZ7UekKIoAdLGkhJN07x+kWtKLtCkpOSuu+7i559/5qWXXmL27Nm8+OKLpKen8+qrr/LEE0805ZAdzvLsHdy97r2aKodHBoBJfsrcRE5lMf8Zey16B+9WGBp7Kamlv3m8X2IwLPb/fDrWJwdfxWHYPba8/Hj4M4ZHHUdSiH8WSFMURWnLvvjii1o/OxwO1q1bxzvvvMNDDz3UpGM2KSn55ptvePfdd5k6dSpXX301kydPpk+fPnTv3p3333+fyy67rEnBdBRSSp7d/i31L2buTlDW5e9jWfZ2TkgY5N/ggkxiyFAmd/4bv2XOBahJKAQ6EoPj4m8lJazhpd/Ty/eTVr7X6z4aGityf+Scrlc3P3BFUZTGamMVXc8666w6284//3wGDx7Mxx9/zDXXXNPoYzYpKcnLy6Nnz56Ae/xI9RTg448/nhtvvLEph+xQthQeJLUsx+s+OoKv0lZ1+KQEoG/kLBJtw9hR+BWHytYAksSQ4QyIPptoi29LbB8qP9DgPgYGaeX7mhmtoihK00iaOfumxSJpnvHjx3Pdddc16bFNSkp69erF/v376d69O4MGDeKTTz5h3LhxfPPNN0RHRzcpkI7kcEVhg/u4kBwqU/VeqkVaujA2/qYmP94kfHupm9S0YkVRlCYrLy/nhRdeoGvXrk16fJOSkquuuooNGzYwZcoU7r33Xk477TReeOEFnE4nzzzzTJMC6UgizCEN7iOAKHNo6wfTQfQOH4yGhuFlJo9AMDBSrXKtKIrii2OLqkopKS4uJjQ0lPfee69Jx2xSUnL77bfX/PvEE09k+/btrF69mt69ezN8+PAmBdKRjIzpQZQ5lEKH59K8EpiZPMJvMbV3keZoRsYcz9r83+od6CoQmDULY2On+j84RVEUaHOzb44tqqppGvHx8YwfP56YmJgmHbPZdUoAunXrRrduasaCr8yaiat6ncizO76r935daMRZIpiZNMK/gbVz53S5muzKDFLLdiGqpmCDe4CrLkxc3fMuwkwNTy1WFEXpyN58800uu+yyVimq2qT5prfccgvPP/98ne3/+c9/uO2225obU4dwUfdJXNFrKkDNtN/q/yfaonhx7LUdvk5JS7PpIdzU+wEuTLmBriG9CNHDiDbHcUL8adw54Gn6hA8JdIiKonRg1WXmm3Pzh+uuu47CwiNjI5OTk9m/f3+LHLtJLSWfffYZX3/9dZ3tEydO5IknnlDr5PhACMGNfWdyevJovk5fTWppNjbdwpSEQZyQMAiTpgc6xHbJpJkZF3si42JPDHQoiqIotbWRKcFS1j5PcXExhtFw5W1fNCkpyc3NJSoqqs72yMhIcnK8T3VVaksJ68Sf+50S6DAURVGUQGtjY0paQ5O6b/r06cP8+fPrbP/hhx/o1atXs4NSFEVRFCU4CSFqzbo59ufmaFJLyZw5c7j55pvJzs7mpJNOAuCnn37iX//6F88991yLBKYoiqIoHUobaSmRUtKvX7+aRKSkpISRI0eiHbPic3Vh1cZoUlJy9dVXU1lZyWOPPcYjjzwCQM+ePXnllVeYPXt2Uw6pKEoHUuly8mP6TtJKC4m0WDm5Sz862cIDHZaiBFYbSUreeuutVjt2k5KS8vJyrrjiCm688Uays7M5fPgwixYtIjExsaXjUxSlnfl07wYeXb+IYkcluhAYUvLAmvlc3Gskfx85A4uuBnkrSjBrjanA1Zo0puSss87i3XffBcBsNjN9+nSeeeYZzj77bF5++eUWDVBRlPbj030buHvVtxQ7KgFwSXe1GJeUfLBnHXf88VWdkf2K0mFUz75pzq2Na1JSsnbtWiZPngzAp59+SmJiIgcOHODdd9+tt36JoihKpcvJ3PU/erxfIvnu4DY25h3yY1SKEkREC9zauCYlJWVlZUREuCtfLly4kHPPPRdN0zjuuOM4cKDh1VgVxV+KHYVkVWRS6aoIdCgd3pKM3RTYvf8ddKExb98GP0WkKEqwadKYkj59+vDll19yzjnnsGDBgpq1cLKysoiMjGzRABWlKbYUrmdB5pfsK90FgC5MjImZwClJ59LJmhDg6DqmQ2VFaAgMLwusu6RBWmnDq2grSnvU3Kqs/qro2pqa1FJy//33c8cdd9CjRw/Gjx/PhAkTAHeryciRapVVJbB+y/6JV/Y8xf7S3TXbXNLJqrxl/HP738ksTw9gdB1XlNnmNSEB0IUg2tLwKtqK0i61sTElDz/8MGVldReWLS8v5+GHH27SMZuUlJx//vmkpqayevXqWkXUpk2bxr///e8mBaIoLSHPnsMnB93T1eQxF0ADg0pXOf878EogQuvwpnXpi6WB5RNcUnJ6t0F+ikhpSworK0gtLqDUYQ90KEqVhx56iJKSkjrby8rKeOihh5p0zCavEty5c2c6d+5ca9u4ceOaejhFaRHLcxbjHu1V/zcGA4PUsr0cLNtPSmgPf4bW4UVZQriy71he37Gi3r+OLgR9IuM5MamP32NTgteqzDSeX/c7S9P3IwGT0DitV39uHTmR3tGxgQ6vZbWROiXVpJT1VnLdsGEDsbFN+9s0OSlRlGC0v3QPkoYXhjpQukclJQFwx7ATKXRU8PHe9ehCw5AGmtBwSYN+UfG8dcIl6FqTGnCVduj7fTv48+Jvan3NcEqDb/duZ9GB3Xxy+sUM7dTZ2yHaFCHct+Y83h9iYmJqSssfXdkVwOVyUVJSwg033NCkY6ukRGlXNOHbBc3X/ZSWpWsaj489jSv6juXTfRtIKy0kwmzltG6DmNy5F5q/PlUbkFVeQrnTQUJIOCEmc6DD6ZAKKyu4fcn3SFn3a4ZLSipcTv780zcsufDaoHndNFsbWSX42WefRUrJ1VdfzUMPPVRrgV6LxUKPHj1qxpo2lkpKlHalX8RgthdtqjOe5Fh9wwf6KaKOK6+yjO9Tt5JdUUqcLZRTUwbRyRYGQP/oBO4beXKAI6xrfuoOXtr0OxtzMwGw6ibO6z2EW4ZNonNohMfH7cjPZm12OgLBmMSu9ImK81fI7dbnu7ZQ6XJ6fCcbUnKguIDlhw5wfJce/gytw6uu6NqzZ08mTZqEydRyqYRKSpR25bi4KXx/6FOc0llvYqKh0T9yKPG29tPkG2wMKXlm0xJe374ClzTQhYZLSh5dt4ir+4/nzqEnBmUXzetb/uCxNT/X+tZd6XLy8a4NLDq4iy9mzaZreFStx6QWFzDnt29ZnVV7RteEzt14+vjTSA5TJRKaal12BpoQuLxU+NWFYF1WRvtJStrYmJKIiAi2bdvG0KFDAfjqq6946623GDRoEA8++CAWi6XRxwy+TwZFaYZwUwTX9LoNTehox7y8BYI4azz/1/36AEXXMfxr48+8vG05TumeAOz+v8QlJa9vX8HjXqq6BsqughweW/Mz4E6qjuaSkryKMu79/Yda2zNLiznn+/+xLrtuBdqVhw9y3vfvkVtRd7qk4hvdxy6ZYExwm6yNVXS9/vrr2blzJwB79+7loosuIjQ0lHnz5nHXXXc16Zjt6K+pNFeJ4wBbc59hRcYNrMy8lf1F83Aa/vtQLbRnsS5/AatzvyW1dHOT10AZHDWCuwY8yri4yVg0KwDR5lhOS76AO/o/QqQ5qs5jXNLgcEUOhyuycUlXs55HR5ZVXszrO1Z43eedXas4FGQF0t7fuc7rRdAlJUsz9nOgOL9m28ubV1BQWV7vN3mXlGSVl/DfLataJd6OYHxSitdWEnD/no9LSvFTRMqxdu7cyYgRIwCYN28eU6ZM4YMPPuDtt9/ms88+a9IxVfeNAsDO/NfYkf8fBDoSFyA4XPYz2/OeZ3znl4ixDW21c1e4Svgu/Xm2F/+Oe4y9e6x9rKULZ3S5ja6hjR//kRySwmXd/8Rl3f/kcdoagNNw8c2hH/kh42fyHe4LZZQ5glmdp3Jml5Mxa2qQY2N8dWCLp9nYNYQQfHFgE38edLx/gvLB6qy0Bi+AABtzMukeEYPd5eKTXRu9PsYlJR/sXM9do07w+PpTPDur90Ae/2MJxQ57ndYrcLekDIiNZ2R8UgCiay2SBt9ADT7ef6SUGIZ7GPKPP/7I6aefDkBKSgo5OTlNOqZqKVFILf6SHfn/AahKSNz/AnAYxazIuJ4KZ3arnNtp2Hl//33sKF7BkTeU+//59gze2/83Msp3e3y8L7wlJE9uf4kPU7+qSUgACuzFfJj6LTeufoBnd77LpwcXkm8valYMHcXh8uIGZ0JoCDLLiv0UkW9MPs7G0jX3cyuoLKfc5Wxw/0J7BWVOR7Ni66hCTGZeP/kcLJpepxVLF4JYWygvTzuzfSV8baz7ZsyYMTz66KP873//45dffuG0004DYN++fSQmJjbpmCop6eCkNNiZ/yqeX80GTlnGgeJPW+X8mwuXkFlRf20RiYEhXSw+/GarnHvR4aWsL9haa0CslOCUGg6pkW0vZEnWKt478A1Xr/w7n6cF31iIYBNtCWlw5pMEYqzBVUr++OSeDSdTQjAmvisAYWaLT5//uhBYddUg3VTjk1L44dwruKT/MEKrpmbHWkO4Ydg4fjjnCrpHxgQ4wvZl7ty5CCG47bbbfNr/2WefZe3atdx8883cd9999OnjLnz46aefMnHixCbFoN4tHVyRfQflzobWgjHYkf86W/M/JdLSkz5R55MSPh1NNP/lszbvB7xVYJUY7C/dSKE9iyhLyy2kJ6Xkh4yfa51ZSnDIo/N0UXOBlUje2f8l4aZQZnRu2putvZFSsi43nflp2yhxVNItPIYJCd359+aGxgEYnNFtsJ+i9M0lfYfzyuYVHtfm0YXg1O4DSAgNB9xJyeTknizL2O+xC0cXgpnd+mFqTwMxA6BXVCyPHT+Dx46fgdMw2vXvUwiJaEatkeY8dtWqVbz22msMGzbM58cMGzaMTZs21dn+1FNPoevel5TwRCUlHZzDqLtuQb2kE7ssIrdiEzkVG9hX9A2Tk55BrxpI2lQFjkx86QctdLRsUlJhVJJRkVVrm+FD++cHB75lWuJ4dNG0N1x7kVdZxo3L5rEm5yC60BBUzVoR0D8qnl2FOfVe4DUEM7r2p29UvP+D9qJLeBTPTj6DW5Z+jYBaiYZA0CcqjkfHz6z1mJuGHsfSQ/vqPV51snv9kPGtF3QH1J4TkhoB6I0qKSnhsssu4/XXX+fRRx9t9OPXrFnDtm3bEEIwcOBARo0a1eRYAv4Xfumll+jZsyc2m43Ro0ezdOlSnx63bNkyTCZTzchfpWlCTckN7iNl9QWbmm6Ww+Wr2JD7n2af36qF+bafHtrscx3t2OnCAIb03GJTLd9RxJbCPS0aS1vjMgyu/vVD1uemuX+WBk5pYCAxpGRHYRb9o91Jhy40NCHQq8ZsTO/Sj3+NPzNgsXtzeo+BfHXqFZzeYyDWqm95XcOiuHvUFD6fNZsoq63W/sd17sYzx59e8xyraQhMms6LU85ieKf2NAhTaSuKiopq3SorK73u/+c//5nTTjuN6dOnN+o8WVlZnHjiiYwdO5ZbbrmFm2++mTFjxjBt2jSys5s2DjGgLSUff/wxt912Gy+99BKTJk3i1VdfZdasWWzdupVu3bp5fFxhYSGzZ89m2rRpHD582I8Rtz+h5i7E2caQW7EWPKwZIwQ4jWNbBiR7i75gaNz1mLXwJp9/SPRUlmV/4nW9mmhzZxKsPZt8jvpYdQu9wrqxr/TgUV004MvXlCKHj61L7dTPGbvZnJ/h8X4hIK2sgM+nX8n3B7eTXVFCJ2sYZ/UYwuCY4C5aNzSuM89NdidNhpQNjjM5p/dgJiZ146NdG1l9OA0hYHxiNy7qO4xOIb4l3IpSraW6b1JSak+TfuCBB3jwwQfrfcxHH33E2rVrWbWq8dPX//KXv1BcXMyWLVsYONA9S3Lr1q1cccUV3HLLLXz44YeNPmZAk5JnnnmGa665hmuvvRZwD5pZsGABL7/8MnPnzvX4uOuvv55LL70UXdf58ssv/RRt+zUo7g6Wpc/GwMmxiUl1K4mrnpYFl6wkp3wDSWGTmnzuUTGzWJn7NQ6jwmNiMjnhklYZYX968jSe3/VWzc/udpLqKcmexVrq1jnpSL46sAm9gUqbJY5KDpcXc++IaX6MrGX5up5KYmgEtw5v+ntAUWq0UEXXgwcPEhl5pJqw1Vp/N/vBgwe59dZbWbhwITabrd59vJk/fz4//vhjTUICMGjQIF588UVmzJjR6ONBALtv7HY7a9asqRP4jBkzWL58ucfHvfXWW+zZs4cHHnjAp/NUVlbWacpSaou2DmJC8n8JM1dn11VdNRJcaFRKM57eKS7ZvOmOEeY4Lu3+CFatuntGVP3X/dKcmjCbYdGtc2E7vtNYTuk8BXA3uWui4YQkwRrLgMiWbbVpa7IrSnyq6ZFXqaqZKkpjVK8S3JwbQGRkZK2bp6RkzZo1ZGVlMXr0aEwmEyaTiV9++YXnn38ek8mEy+W9kKRhGJjNdWs5mc3mmvoljRWwlpKcnBxcLleducyJiYlkZmbW+5hdu3Zxzz33sHTpUp8XAJo7dy4PPfRQs+Nt72JtIzix69fkVayl2L6LfcXfk1Ox3eNshGrR1j7NPneX0P78pd9bbC5cwp6S1TgNB4m2noyMPYUYS+v1yQshuLrnRQyJ6s93GYvZXrgXd0F0z4nJlT3P6fArDHcOiWywpQQgPqTp3XqKorS+adOm1Zk9c9VVVzFgwADuvvvuBmfQnHTSSdx66618+OGHJCe7xyemp6dz++23M21a075MBnz2zbHN8p6qb7pcLi699FIeeugh+vXr5/Px7733XubMmVPzc1FRUZ3+NsVNCEFcyGjiQkYTZhnA4vTrPO+LRnzIaMLNXVvk3BY9hFGxsxgVO6tFjucrIQTj40YyPm4kUkqKHaU8s/Nt1hVsR0NDCIFLugjRrfyp14VM6jTSr/EFo3N7DuPbg1u87hNtCWFyYm8/RaQo7YSQ7ltzHt8IERERDBkypNa2sLAw4uLi6myvz3/+8x/OOussevToQUpKCkIIUlNTGTp0KO+9916jYqkWsKSkU6dO6Lpep1UkKyur3kpwxcXFrF69mnXr1nHzzTcD7qYjKSUmk4mFCxdy0kkn1Xmc1Wr12HSleBYfMoI+kRewu2henfsEOiYtlDHxdwcgstYjhCDSEs6DQ27mQOkh/sjbSKXLTpeQBCZ1GoVVb/yKl+3R8Ym9GBffjdU5B+st/w1wx9ATsTSxToGidFSBrFPSFCkpKaxdu5ZFixaxfft2pJQMGjSo0bN4jhawpMRisTB69GgWLVrEOeecU7N90aJFnHXWWXX2j4yMrNPM9NJLL7F48WI+/fRTevbs2P38rWFU/J1EWLqzPf8dyl3V07s0ksMmMzzuFiIs7bfFqXtYMt3DGp4u3RFpQvDq8Rdxxx9f8tOhXehCIBC4pIFF07lr2DQu7t30OgWKogTOkiVLGv2Yk08+mZNPPrlFzh/Q7ps5c+Zw+eWXM2bMGCZMmMBrr71GamoqN9xwA+DueklPT+fdd99F07Q6zUkJCQnYbDafmpmUxhNC0C/6IvpEnU+hfTdOo4IIc1dsprhAh6YEWITZyqvHX8SuwmwWpm+n1GGna1g0Z3QbTISl8aP4FUWpPVi1qY/3h8WLF3PzzTezYsWKWrN8wF2yY+LEibzyyitMnjy50ccOaFJy0UUXkZuby8MPP0xGRgZDhgzh+++/p3v37gBkZGSQmpoayBAVQBM6Mdb+gQ5DCUJ9o+KDrjqrorRZzey+adZ4lEZ49tlnue666+okJABRUVFcf/31PPPMM01KSoSUPszta0eKioqIioqisLCw3l+ooiiKolTzxzWj+hy93vkbemjTWxpdZRXsveLxVr++de/enfnz59eqT3K07du3M2PGjCY1KgR89o2iKIqiKLRY8bTWdvjw4Xrrk1QzmUxNLjPfsQsuKIqiKEqQqJ5905ybP3Tp0qXe1YGrbdy4kaSkptWYUkmJoiiKoig+O/XUU7n//vupqKioc195eTkPPPAAp59+epOOrbpvFEVRFCUItJHeG/7+97/z+eef069fP26++Wb69++PEIJt27bx4osv4nK5uO+++5p0bJWUKIqiKEoQaCvF0xITE1m+fDk33ngj9957L9XzZYQQzJw5k5deeqneIqi+UEmJoiiKogQBd52S5iQlLRhMA7p37873339Pfn4+u3fvRkpJ3759iYmJadZxVVKiKIqiKEqTxMTEMHbs2BY7nkpKFEVRFCUItJWKrq1JJSWKoiiKEgQ0IdGa0X0j/bwgX2tQU4IVRVEURQkKqqVEUZRGsbtcSCRWXX18KEpLaiuzb1qT+lRRFKVBUkq+P7iNN7avZH3uIQB6R8ZxZb+xXNR7BCZNNboqSnOppEQlJYqiNEBKySNrF/H2ztVoR42k21uUy/2r5/Pzod28PPk8zJoewCgVRWkP1NcbRVG8Wpi2k7d3rgbAOGpRcVl1+/nQbt7cvjIwwSlKO1I9+6Y5t7ZOtZQoiuLVWztWoglRKyE5mgTe3rmKaweMR1fdOEoArMg4yFub1/BHxkEkMDaxC1cNGc2kLt0DHVqjqNk3KilRFMULKSVrctI8JiTVDpeXcKisiJTwaP8E5gfF9kq+3LuVbXlZWHSdE5J7MqVLT5V4BZl/r1nGc2uXowuBq+p1+vPBvfyYuofrh43jnnEnINpDE0IHoZISRVG8aiAfObIfbf9bWrWv9m7l7mU/UOlyogt3EvL2tjV0j4jmzenn0zsqLsARKgAL9+/iubXLAWoSkqP//erGlQzplMgZvQcEJL7GUgNd1ZgSRVG8EEIwLC6p1gDX+sRZQ0kOjfJTVK1rSdpebvv1GypcTiTglAZOaQCQVlLIRT98SF5FWWCDVAB4fdNqr69NDcHrG1f5MaLm0ZDNvrV1KilR6lXqLOTX7M/57577eGX3nXyV/jKHyvcGOiwlAK7qP9Zr942G4PJ+o9vNtOCn1y31eJ9LSvIqy/hw5wY/RqTUp8LpZFWm965FA8nGnEyK7JV+jKzpBM0c6BroJ9ACVPeNUsfekk28f+AxHIa9pkk+o3wvq/MWMjn+HE5OvFz10XYgp3cbxK8Ze/ls3yYE1PoupiEYm5DC9QMnBCq8FrW/KJ9NuZle9zGkZN6uTfx5WPt4zm2V0zB83tfhcrViJEpLUkmJUkuBPYv39j+KUzpqjREwcH8ALM3+gmhzAuPiTglUiIqfCSF4cvzpjO7UlTd3rGR3US4AiSERXNFvDFf1H9tuqrvmVpT6uJ/qvgm0MLOZLuGRpJcUed0vPiSMGFuIn6JqHtHM2TdGOxhT0j4+SZQW80fufJzS6XXQ4q/ZnzEmdgaaaB/N9UrDNCG4uM9ILuo9gnx7OS7DIM4W1uBYk7YmISTcx/3CWjkSpSFCCK4YPJIn/vgVw8PnlSYEsweNbDOvUzXQVY0pUY6xufA3JN6bRQsdOWRW7PdPQEpQEUIQaw0lPiS8zXzQN0ZKRDSj47t4fW4CuKjfMP8FpXg0e9AoRibUPxBbE4LBcQlcM3R0ACJTmkolJUotdqOiRfdTlLbmztEnAPUPGtSFICkskov+v737jovqSvsA/jv3DjP0Kr1XC6Ao9t57i8YSazbJboqm6G7qbjbZvMmauptkszG6KSaxxlhii4q9YEVABJQiAlKkdxiYuef9Y2QUYQrMMMMM57uf+WS9c+bOOQPMfe4pzwntZ9hKMW2yFImwecZCPBM5EDYWYuVxa5EFngwfgO0zF8P6oeNdXXPyNF0epo4N33QjlY0luFB6APHlJ1Evr4aNyAHRThMxxGU67CycAAAuEi/U16VpzDnhLHY3RJUZxuCGevhh4/h5+PPZg6hsbFCsKqKKpcG9nNywYfxjcJBYGruazH1WIgu8NWQs1kaPQFp5KSgoQh1dTCoYacaGb1hQ0m0U1Gfh+9tvQyrUK4dnamQVOFO8G1fLYvB08AdwlXhjsPNU5NbdUnkeAg6htlGwt2DJoxjzNdE3BJcXrcLh7DSklBVBzHEY4x2EaDdvtvKsi7IUWaCvq4exq8HoiAUl3YCcyrH5zgctApJmFALq5NXYmr0OL4X+B5GOI3G1LAY5dTdblSXgYMGJMdlzpSGrzzBGIeFFmBPUB3OC+hi7KpALAk7evY3E4gLwhMNwLz8McvdhAZKZ0XUIhg3fMCbhZtVlVMlKVT5PIaBEmoes2iQE2fbFisC3cSj/O8SXn4SAB+v7vayCMdf7Bbhb+hmi2gzDALhcmIsXT+5HYV0NRIQDBcW/48+jl5MrvpkwB4EOzsauIqMnumZlNYeMriwo6QayapLAgW8RYDyKA4/bNYqgRMxZYq7PKkzyWI6s2iTIBRncLf3hYRVguEozDIOU0iIsO/wLmuSKXsvmdPcAkF5RgscPbsXhx/4AV7ZEmTETLCjpBtQFI+rK2YjsEeEwojOqxDCMFv597RxkgtBmHg45pShrqMePKdfwl+hRRqgdo29soisLSroFL6sQXMFRtWUEyOFlFWKgGjEMo0mFtB4xORlqO+QFSrH91nWjBSUFNdX4ITkOO9NuoKKhHi5W1ljYMxJPhg+Am7V2ieiYB9icEpanpFvo6zgKYs4KqrZrIiCw4R3Q236wYSvGMIxKJfV1Ws0QKKmvBVWzKV1nSSktwpRdP+C7pKsob6gHhaLO3yRexrRdm5BRoXoeG9M2lqeEBSVdjlQuxZni0/g87TOsS30fP2R9h8yaDJ2+dMScJR73fQUEBOSRHzkBB47wWOi3FjxhHWcM01U4SbTbr8VebGnwVTgyQcDTR3ajtqkR8ke+mwRKUSFtwB+P7lG7gy/DtIVdhbqQ/Pp8fJb2MSqbKkBAQEGRVXsb50vPYpjLCPwh4OkO7zfT234wng56HyeLdiCzRrHtOgFBmN0AjHNfDG+rYH02hWEYHblYWWOklz9iC3LavrhTRSp1J4kVHtu3BW7WNpgfGo7xvsGKhG+d6Fh2Bgpqq1U+L6cUWZXliM3PxkjvgE6tizlhwzcsKOkyGuQN+CztY1Q3KXa8bM6o2rw774XS83CycMI8n8c7/B7+Nr3xZOC7qJFVoE6myOhqI7LXvfIMw3SKl/sPR2xBDgjQciiHAgCBQIGc6krcqaoATwgO30lHZA93/Dx1QafujHshPwciwrVYDfQoEeEQm5/DgpJ2YEEJG77pMi6VXURlU4UyCGnLsaKjaJDrvueMrcgRbpa+LCBhGANqlMtR3lCPJkG71XAAMNjDF+vHz4GlyAIEAE84iB7pLW3uRWkeRkkpLcKzx/bqq9ptenTIpk1EkfSNYdqDBSVdxNWyyyAqJqI2axQakVKVbKAaMQyjD2nlJVhz+iD6/PRvRG35D/r8+DleO/s7sirLtHr91IAwXH3iBbw/fBLmh4Zjkl8IVE1aBxQBw6XCu0gsLtBTC1rr6+qhtpcEUMw76evq2Wl1MEcEDxKodeTR3plF69evR9++fWFvbw97e3sMGzYMv//+e2c0TWts+KaLqJfXa9wED4BeekqMraapDjH3LuDYvUuobKqGs9gBkz2GYbzbEFiL2EZnjPm4XJiLZYd3QibIlb0LjYIcv6bfwP7bN7F9+mL00+LCbSuWYFnv/lgG4F9x53A0O0Ntb4WIcDiUlabVuTtiVnAvvHfhBGqbGtv81uJA4GRphUn+LM1Aexh6+MbHxwcffvghQkIUP6cff/wRc+bMQXx8PMLDwztcD12wnpIuwt3SA5wWPw5XiZsBatN58uuLseraP/FD1m/IqStAZVMNsmrzsCHzV7wc/xFKpRXGriLD6IVULsOzx/ei6aGApJmcUuXz7R3iqGlqBKdptQ1RlOssViILfDFuJjhCwD9SF54Q8BzBl+NnQszznVYHRnezZs3C9OnTERYWhrCwMHzwwQewtbXFxYsXjVYnFpR0EaNdx6idT0JA4CZxR4it6d55CFTAP5K/QUVjdZu9QkUNZfhn6rdGybnAMPr2+500lDXUq1wWK6cUBbXVOHn3drvO62/vCJmGQEagFP52ju06b3tN8A/GL7OewAgvf+WwAQEw1jcIu2YvxQhv/059f3NkzDwlcrkc27dvR21tLYYNG6bHVrUPG77pIsJse2KQ02BcLb/S6oJN7v9vqd9yk94V9Fp5KvLri1Q+L0BAWnU20qqz0dM+wHAV66aSSgvwY1ocLhRmQwDFYFdfLA+LxkA3H2NXzSzE3cuDiOPUBhAiwuHqvTxM9NP+ZmNucB+8f/EUGtVMmOVAMC+083c3jnb3xk/TF6C0vg7l9zO6duaqH3Onr+GbqqqqFsclEgkkEkmbr0lKSsKwYcPQ0NAAW1tb7NmzB336GG9nbNZT0kUQQvB04J8wyX0KRMSixXM9JK54OXQtwh0ijFQ7/YgrSwGvIc8KBw5Xy9lk3s72XeplzD68CXuzbiC/rgqFddU4mHMTC2J+xr+vnzF29Rg1HCSWeGPwaLVl/jxwJHoYcJM+FytrhDi5sICki/D19YWDg4PysW7dOpVle/bsiYSEBFy8eBHPP/88Vq5ciZSUFAPWtiXWU9KFiDgRFvouxkzP2UiuugGp0AA3iTtCbcNMuoekWROVaSxDCEGToLkc03FnC7Lw/rXjAFou7ZTfX03xZdJ59HR0w3S/Xkapn7mIdvfGT6nxasvIqICB7t7tPvfTEQNhyYvwydWzKJc+mPzuILbE2ugRWNmnf7vPyRifvnpKcnNzYW//IOWDql4SABCLxcqJrgMHDsSVK1fwxRdfYMOGDR2uhy5YUNIFWYusMcjZ/Pah8bP21Jh2Wk7lCLDxMlCNuqdvUy+BJ0Tl6g0OBBtTLrKgREfTAsLwD0srVEgb2vy95wmBm7UtxvkEdej8S3tHYUFYJM7m3UFRXS1crawxyicAEp59rZuq5qW9urwegHKJb0dQSiGVSjtcB12x317GYMa7DcamrN/U9pjY8FYY3iPKcJXqZmSCgLMFWep3ngVFYmkBKqT1cNRy/5XuqqyhDjVNjXC1soGVqOWwq4QXYcOEua2WBAOKgKT5eV6HlPBinscEP7ZFhLkw9JLgt956C9OmTYOvry+qq6uxfft2nDp1CocPH+5wHXTFghLGYGwtrPFCyCJ8kb5FubdPs+bEcS+HLYWYs1B1CkZHcipofR+mbiJld3fq7m38N+EiLt+7CwCQ8DzmhYTjxajh8LZ9cIc62MMXB+aswDfXL2Hf7VQ0CQLEnKLsc30HI9DB2VhNYBjcu3cPy5cvR0FBARwcHNC3b18cPnwYkyZNMlqdWFDCGNREj6GwtbDGz3cOIKfuQcbJYFsfrAiYjf5ObMigM0l4Ebxt7JFXW6W2nKPYEs4SawPVyrRsuZmAt84fbZErRCqX45e0JBzJTseeWcsQYO+kfC7MqQf+NWYGPhw5FbVNjbAVi2HBsfwdTGscEcCRjqfmb+9rv/vuuw6/V2dhQQljcENd+mKIcyRy6gqVGV19rN2NXa1uY3lYND6KP6UygzBHCJaE9u/0nWZNUW51Jf4WGwMAreaJyClFpbQBfz59CLtmLW31WjHPQ8yz4TBGNbYhH1sSzBgJIQT+Np7o6xjGAhIDWxEWjUhnjzazgvKEIMjOGc/2GWqEmnV9224lqt1fRE4prhbl4VZZscHqxDDmhAUljMmRyptw6l4K9uRexpmiVDSyJcTtYiWywNaJS7A0tD8sH1qpYcHxmB8UiV8nL4e9mO1B1Ja4e3la7ZCbUNJ5m+Ex5ovosBmfYkM+0+8pYcM3jMmglGJHdiw2ZhxHjexBbgZ7kRWeC5uEx/3Y3b22bCzEeG/QFLwaNRbJZfcAUPR2dIMDW22jlqbkf824du/XyjD3lwTrMnzDghKGMZxNt09jffrRVserZPX4OGUfpPImLA0cZYSamS47CwmGuvsZuxomY5iXHy4U5qjNt0MADPHwNVylGMaMsKCEMQll0hpszDimtszXaUcxy2cg7C3Y3T7TORb37Isv42PRROVt3pPyhGC0dyD87B0NXbVOdSInE9/fiMOlgruglKKvqweejBiAWUG9zCLbdFdh6NU3XRGbU8KYhN/z4zVmg5VROQ7nJximQky35Gplg6/GzQZHCPhHLsYcIfCxdcAno6cZqXad48PLp/HUkd24kJ+DJkEOGRWQUFyAl04cwJ9P/67x75LRHk+ozg9Tx4ISxiTcrStrdRF4FE945NWVGahGTHc1JSAU++eswJzgPpDwinwj7ta2WNN/BPbPWQFXA26E19mO3knHN4mXAbTcJ6k5ENmdnowtqQnGqBpjptjwDWMSbEQSjVO4KChsRKo3nmK6jgZZE3ZmJOHnm/HIrq6AlUiEGQG98Ife0Qhx7KHTubOrypFVVQ5rkQWiXL0g5vWfqCzcxR3/HjMD/xo9HXJKzTany3dJV9Xuk0Tul1nWO4oN4+iBvva+MWUsKGFMwniPCPyUdUZtGTkVMN4jwkA1YjqqulGKJUe240ZpIQCAApDKZdielohf0q/jm3GPYYJvSLvPm1JahH9cOo6LhbnKY04SKzwbORjPRg5uMy+LrgghEJnpxVguCLhceFftZY4CuFNVgeL6WrhZ2xqqamaLzSnpAsM3X3/9NQIDA2FpaYno6GicPXtWZdndu3dj0qRJcHV1hb29PYYNG4YjR44YsLaMsfRx8EG0c5DKJZkcCIb3CEOInYeBa8a0198vxiCl7B4o0OKCJ6cUMkHA8yf3oqiupl3nvFF6D/MObsaV+3vRNCuX1uPDq6fx19ijoGzuQ7s8+vNRRyaY/sWwK+DIg6yuHXsYuwW6M2pQsmPHDrzyyiv461//ivj4eIwaNQrTpk1DTk5Om+XPnDmDSZMm4dChQ4iLi8O4ceMwa9YsxMfHG7jmjDF8GLUEPe29ADzIA9EcpEQ6+uH9fos75X0rG+vxXdoFzIrZgJEH/40FJ77HL1nxaJA3dcr7mbPi+lrsy0pRORxAAciogG1pie06719jj0Iql6s879ZbibhalNfe6nZrIo5DmFMPjRlXXCytWS8JozeEGvH2YciQIRgwYADWr1+vPNa7d2/MnTsX69at0+oc4eHhWLRoEf7+979rVb6qqgoODg6orKyEvb295hcwXYqcCogtTsPv+fEokVbDVWKPGd79MbRHKDgtE1u1x+3qEiw/8zNKGmqVe8UQKC6eYfau+Gn0cjhLzGdiY2c7eOcmVp36TWO5Aa7e2D1jmVbnvFVejMl7flBbhicEs4N64/MxM7U6J6Ow7WYi3jzbOjdQM44QvDxgOF4eMNyAtTIsQ1wzmt/jT6cXQGzb8V3SG2uasHHMTpO+vhltTkljYyPi4uLwxhtvtDg+efJkxMbGanUOQRBQXV0NZ2fV239LpVJIpVLlv6uq1O+OynRtPOEwyq0XRrl1/m7CMkHA0+e2okz6ICABHnRpZ1aXYM2l3fhx9PJOr4u50Labv0mQa33OtPISjWXklCKV7UfTbgvCInEsOxMncjJbDeVwhCDK1RPP9h1klLqZI6LjnBLC5pR0XElJCeRyOdzdW27G5u7ujsLCQq3O8dlnn6G2thYLFy5UWWbdunVwcHBQPnx9WaZFRjvHC24hr65S5ZCAnFJcKL6DtMoiA9fMdIU7a958kb9/sdOWpUi7eysrLcsxD4g4DhsmzcXrg0fD/aEhGkeJJVZFDcXWGQthKer4nT3DPMrof6WPLiOjlGq1tGzbtm1499138dtvv8HNzU1luTfffBNr165V/ruqqooFJvc1CTLk1hWBgsLHyhUSXmzsKnUppwszwBMOcqr67oMjBKcLMxDmoPp3kHkgxNEFg9x9cK1I9cZ2ckqxtGd/rc85xMMPEl4EqVz1xowEBFP8w9pdX0YRmDzXbwj+GDkId2sqIVDA29a+U5Zad3fNE1Z1eb2pM1pQ0qNHD/A836pXpKioqFXvyaN27NiBp59+Gjt37sTEiRPVlpVIJJBIWO6KhzUKMmzNjsG+vHOoltUBAKx4CWZ4DsOKgKmwYrk+AACNcpnGFRscCKRsl+J2+XD4VMw7uBk1TdIWgUnzXJ01USPRy8lV6/PZiyVY1qsffki+BqGN9SIcIbDiRVgYGqmH2ndfJfV1uFFSBLkggCOAv72TsatkdnTNymoOGV2NFpSIxWJER0cjJiYGjz32mPJ4TEwM5syZo/J127Ztw1NPPYVt27ZhxowZhqiqWWkSZPjb9Y1IqMhoMU+iXi7F7runcb0iE5/2XwUrngUmIfaaL4wyKiBUi3LMA8EOLtg/ayU+vXYGB+/cVAYmwQ4uWN13GOYGh7f7nK8PHIOsynKcuHu7RbKv5oBk0+TH4WJlrdd2dBflDfV4+1wMDmWltUgpP8rbHx+OmQpvW9OcUMl0TUYdvlm7di2WL1+OgQMHYtiwYdi4cSNycnLw3HPPAVAMveTl5eGnn34CoAhIVqxYgS+++AJDhw5V9rJYWVnBwcHBaO0wJQfzLyChIr3N/AMCKDJq7mJnzkmsCJxq8Lp1NfMDovBFymlATTZLJ7E1xnuyYYH28rNzxJdjZuO9oZOQV1MFGwsx/O0cO5wVVMKL8O3EeTiWm4ktNxOQUVEKawsLzAjoiSW9+sHd2k7PLegeahobsXD/NtyuKGu1x01sfg7m7tmMA/NWwN2GLQnWBw4COOiQPE2H13YVRg1KFi1ahNLSUrz33nsoKChAREQEDh06BH9/fwBAQUFBi5wlGzZsgEwmw6pVq7Bq1Srl8ZUrV2LTpk2Grr5J2pt3Vm1CJAEU+/LPY6n/JPBc9x4zdrW0xZt9J+H9xCPKoYVmzXlS1g2cBYtu/jnpwlFiBUeJfnZ15jkOU/xDMcU/VC/nY4CfUuKRWV7W5rCYnFKUNdThP/EX8P7ISUaonflhc0q6wETXF154AS+88EKbzz0aaJw6darzK2TGmgQZ8uo1L4usbKpBeVMNekhY79OKkMFwlljj8+RTyKktVx7v7eiO1yInYphboBFrxzCd6+fk+DYDkmZySvHrrRv429CxbBUOoxdGD0rMyfXybGy7cx7nS25BLggItvPAQr+hmOoVBVEXuJvmQFrd8asiIsavb1cx0zcCM3zCkVJRiIrGerhb2Wk134RhTJlMEFBQW62xXINchuK6WvjaO3Z+pcwcDwG8DkMwury2q2BBiZ78mnMRH6fsa7GENK0qH+/d2IVjhUn4ZMAyWHDG/bh5jkdfxxAkVWSqvPshAPysPeBgwbKUPowQgnAn7XNnMIyp4wmBBcdrlcjO2oKlE9AHNnzTBTbkMweplXn4OGUfALTIadF84b9Qko7vM08apW6PetxnrNruWApgge84tg25AZU11CGtohjF9bXGrorJoZQiNj8bG5Mu44fkOK2yuzLaIYRgSkAIeDXfBRwI+rt5spVNesITQeeHqWM9JXqwIztWbZItCoqd2Rfxh+BxEOupt6RGVo+Ywnhk1hTAgvAY7NITQ1x6atz/ZWiPcCz3n4Kfs4+AAwfhfndf8/+f4zUSkz1Y2mhDuF5agH8nnsXp/AcpvIe7++PlfqMw2I0l+NPkWlE+Xjl1ANnVFeAIAaWKRe7DPf3wxdiZbJM4Pfhj30E4lJWm8nkBFM9HDTFgjRhzx4ISPbhQkqY26ycAVMnqkVFdiD4OPjq/39HCa/g4dScaBZlyl9xdd8/Dx6oHPop6Cr7W6uc7rAicikjHYOy5ewaJ95cH97H3x1zv0Rji0of1khhAbOEdPHniFwi0Zb/VxaIcXIzZgvWj52GyL1tqrEpKaREWH9quHFp4eLnqpcJcLDy4DfvnrICdmOXb0UU/N098Pm4G1p48BAqqzP/CEwKBUvx16DhMDmCrnfSFgILTataf6tebOhaU6IGmgKS95dS5UJKK95O3tXnOgvoyvBS3HpuG/lnjnJD+TqHo79Q5XybpVYW4VHobAqXo4+CFaOcAFug8pEmQ46Vzv0EuCK2G0gRKQQCsPb8Pl+a/BBs2Vt+mT+POQibIW+XOABQrQu5UlWP7rev4Y2T36PVrkMlQ3SiFvUQCCa/fr/XZIb0R7eGNrSmJOJ+XDRkVMNDDG8v6RCHE0UWv79Xd6ToEw4ZvGABAuIMvLpdmqA06LDgegTa674/ybeZhEJAW2VibySGgrLEGB/IuY2nAOJ3fq73uNVThzfhfcK0sW5nHQwCFv40L1vVfgD4O3gavU1cUk5uO0oY6lc9TALWyJuy7k4InQqMMVi9TUVxfixO5rXetfdSWmwlmH5Sklhbh64RLOHT7FuSUwoLjMSekF56PGopgR9W7p7eXt609Xh08Cq9ilN7OyTBtYRNd9WCh/zC1AQlPOEz37A9bC0ud3ientgjpNfltBiTNKCh+L7ii0/t0RFVTPf4Q+z8klucCUAQjzb0AubVlePrCd8isZrvpAsCNskKINMz9EREOSaUFBqqRaSmsrdYYkFBAq+Wspiw2Pwdz9mxWBiSAohduT3oKZu3+CYlF7PfH1HBE0Plh6lhQogfDe4Rhjs9AAMCjgxQ8IfC0csKqnlN0fp/yxhq9ltOnHXcuobC+ss3gTABFoyDDN2knDF6vrojTciiL59ifZ1scJNoF9+Y8n6RBJsMLMb9BJgitdluWU4oGuQzPxSiGCBnTwQPgQXV4mD72racHhBC8Ff4YXu09Cx5WjsrjlrwF5vsOxfdDn4ejWPe8Hy4SzRtfES3L6duunKsaMz8eL0xBVVO9AWvVNY3wCIBMw/wiGRUwwiPAMBUyMX52jgh3cbufCrBtPCGYF9L+jf1MxaHbt1AhbVD5NydQioLaapzKzTJwzRhGN2xOiZ4QQrDAfxjm+w1BXl05mqgMXlZOsOT1N1HRx7oHetv74lbVXTUBAMFMr8F6e09tFUmrNJYRQFHcUA17C/3sdfIoShWrA0RdvIdhqLsfQh164HZVaau7XEBxQXWzssVEH7aqQZU1/UfgmWN72nyOIwSWIgus6N3fwLUynLh7eRARTm1wKyIcrt7LwwT/YAPWjNGFrkMwbPiGaYUjHHxtXBBk667XgKTZs8HTAbQeJgIUc1fcLR0x3cvwk/tsRdp1lXdGQJJVXYq34w6h356P0XvXPzH4t8/wadIJlDQYfhhLG4QQbBgzH04S61ZDOTwhsLGQ4NuxC7p8cGVMk/xD8c8Rk8ETAo4o+kyaJ1fbiyXYPHUhfOzMd+8mbVezsTVvpkW3oRvFw9SxnhITM8A5BP/XdwXWpexAjawBIsLfzx8gIMjWE//suxK2os7piVBnulc/7My5onLCLweCvk6+cLXU7xbyl4uz8fTZbWgSBOV7lzfW49tbF7D7TiK2jVsJf1v9rULQl0B7Z/w+82n8fCsOOzISUdJQByeJJR4P7osVYdHwtDH8EJypWdorChP9QrDj1nUklxXBgnAY4e2PucF9YGXmm8MN8vDG5pQEtWVkVMAgD93zIjGMIbGgxASNco3A4JE9cbroOjJrC2FBeAxx6YkIB+PlA1kaOBx7714DldM2h5YEUPwpVL/LlOtlTXj+/E40yuWt3lNOKcqkdXjpwi7snfhMl8yT0sPSBmv6jcaafqONXRWT5W5ti5f6Dzd2NQxuamAYnC1PoKKh7XklPCHwtLHDGF+2i7UpYcM3LCgxWRLeApM9o41dDSVfG2d8PXgFXr6yBdWyBnD3c6kQKLrX346cg+GuIXp9zwO5yahqalD5vJxSpFTcQ0JZHvq7sDtGxnxIeBE2TJ6L5Qd3okmQt5ibxBMCK5EFvpk8V+uVXl3F5YK7+Dk5HonFhRBzPMb7BWFZeBT8uskOxJyOuwRzbJdghnlggHMAjk54FQfzE3G55DYEKqCPgzfm+g6As0T/+5BcLs4GT0ibk0WbcYTgcnE2C0oYszPIwwcH5q/AxoTL2JuRikZBDktehMd7RuBPfQeZ1IWcUop/xJ7AphvxLf6msyrL8f2Na/hywgxMD+pp5Fp2PrZLMAtKGD2zEonxuN8gPO7X+ZNt5VSAmngEgGKin7qghWFMWYijCz4eOw3rRk9BrawJNiILk8xvszklEZtuxANo+fcqpxSEUrx47ABCHndBmHMPY1WRMRDT++1lmPv6OXurzW4LKL7U+jl7GahGDGMcPMfBXiwxyYBEoBTfJFxW+XzzX3hz0GLO+PvDN7o8TB3rKWFM1mP+ffFJ0gk0ymVthiYcIfCxdsQwt64/2a9RLsfhnFs4cTcTjXI5Qh17YFFoX3ipWIWTV1OFTalXsSvjBiobpXC1ssbisH5Y0WsAnC2tDVx7hum4jPJS5NWoz3MkpxRHstLwz9GTDFQr42Ab8rGeEsaE2Yst8engOSCEgG8j34eEE+GLYfO6/GS/tPJijN79DV46sx/7s1Lxe/Yt/CcxFiN+XY9Xzx1CbVNji/LXSwow9bfv8X3KVZRJ6yGnAgrravBlYiym7/sBOdUVxmkIw3RAg1ymZTl5J9ek+1m3bh0GDRoEOzs7uLm5Ye7cubh165ZR68SCEsakTfXpjS1jl2O4W5AyUZSIcJjuG449E59GhJOnUeunSYW0Hk8c3Y7i+loAijtCCsUSagpgZ2YSorZ9iY/iTqNJkKNRLsdTx3ahVtbYaq6MQCmK62vx3Mk9oGweDWMi/OwcNG5QyRGCUKeul29I3zhQnR/tcfr0aaxatQoXL15ETEwMZDIZJk+ejNra2k5qoWZs+IYxeQN7+OH70X6obKxHZWMDXCxtYCPSfzbdzrAj/TrKG+pVbxtAgSYqx/qki8iprsAUv1CUNKj+wpBTipSyIlwrzkO0G1txxHR9jpZWmBHcEwcyb6qclC5QimV9ogxbMSMw9PDN4cOHW/z7hx9+gJubG+Li4jB6tHHyJ7GghDEbDmIrOIgNn81WF3tuJ6vdyFDZ/UOBg3duoqZJCp5wKjPnAoqhq/MF2SwoYUzGa4NH4VxeNioa6lsFJhwIhnr5Yk5IbyPVzvRUVbWcoyORSCCRaN4KpLKyEgDg7Gy8Xik2fMMwRlQu1X7XZJ4QpFeUAhq6aAkI5AIbvmFMh7edPfY+thRjfQNb7NdjJRLhycgB+H7aPFjwvNHqZygcBJ0fAODr6wsHBwflY926dRrfm1KKtWvXYuTIkYiIiOjspqrEekoMpEHehAO5Sfg1Ox6FdVVwklhjjl9fzPPrD3uxpbGrxxiJj40DiupqNS5tBhRDM41yGQQN80VkVECEi7u+qsgwBuFr54Dvps1Dfk0VbpWVQMRx6O/mBVuxaQzF6gMHgNcledr9/+bm5sLe/sHKPW16SVavXo3r16/j3LlzHX5/fWBBiQGUSWvx5LmfkF5VBALFfW5RQxU+TirED+kX8OOolQiwdTF2NRkjWBzWD3HFeaoLPPL95G5li5qmRkhVLYMGgau1Dcb7sO3qGdPkZWsPL9vuuSGlItdIx1cLNucpsbe3bxGUaPLiiy9i3759OHPmDHx8jDvsy4ZvDGDt5V9xu7oYwINrDL3/KJXW4E+xW9TOEWDM16zA3gh3dm+1pBlAq4CEgGBmUG98OnK6ck+hh/GEQMRx+HL0bJNMosUwjGFRSrF69Wrs3r0bJ06cQGCg8XM6sW+uTnar8h4uldxROatcTilya8txpjDdwDUzrNqmRuTVVqK6UfUGet2RJS/ClsmLMMY7SHGgOVp9BAcCGwsLLAzti5mBvbF5yiIMemgiKwEw1jsYu2csxxAPX4PUnWEY/WreJViXR3usWrUKmzdvxtatW2FnZ4fCwkIUFhaivl77uW76xoZvOtmZwnRwhKidByAiHE4WpmGcp/ltOJVeWYyvks/j99ybkFMBBMA4rxCsDh+Jfi4s/TsAOEqs8P2Ex5FRUYo1Z/cjqfQeOECZMFoRkIixadICuNzP1jrc0x/DPf1RVFeDcmk9XK1sWCZXxqzlVVchJjsDtU1NCLB3xMSAYEh487qE6Wv4Rlvr168HAIwdO7bF8R9++AFPPvlkh+uhC/P6iXZBDUITOBC1yz4pKBrNMFthQmkelp3YikZBpuwpogBOF2TiTMFtfDPqcYzzCjFuJbuQEEcX7Ju5EhcLc7H1VgJuVRTDxkKMqf5hWBAS2WbQ4WZtCzdr7XdgrmqUYlf6Dey7nYpKaQMC7J3wRM++GO8bzIZ8mC6prqkRb545in0ZNwEA3P0l8Q4SS7w3cgJbKqyDrphkkQUlnSzEzg0yDfNFKAWC7c1r90u5IODF83sgFVqvFpFTCgKKl2L34uKcl2BjYfqz6ymlSCwpwOHsNNTJmuBv54jHgsPb3XtBCMEwTz8M8/TTex3TykvwxO/bUVpfp6gzgDtV5Tiem4mRXv74btI8WIos9P6+TGtSuQzHszORXVUBWwsxJvqHwNPWztjV6nIESvGnI78hNj9HeVvXPP+uUtqAl48fhAXHYXqQefQy84TqtPpGl9d2FSwo6WQTvHrBUWyFysZ6lX0lhBDM8+9v0Hp1tjOFt5Ffp3qTLQqgTtaIfdnJeCLEtNte1lCH507uweV7d8ETDoQogrIP407h9egxeCZ8sLGriAZZE5b+vgPlDS1/D5t7sGILcvB27DF8MnqacSrYjfyWnoq/nz+OSmkD+PtDu++cP4F5oX3w/qiJLDB8yNm7d3AuL1ttmf+LPYWpgWFdfo8rbShyjXS8HZwZ7BLM+ms7mZjj8X/9Z4OAqPxVeyNyMlwkNp1WhzJpHXZlXcePaVdwMj8DMqHzf3ETS/M17mfBEw6JpfmdXpfO1CTIsfzoL4grUizrlVMBMkExWNckCHj/yklsvZVg1DoCwP7bN1FUX6s2jfeujBvKPXiYznEg8yZePnEQlVLFhG/lXkeUYnd6Cp47uq9Ldqkby46bSW2vTHtIQW01LubnGqhGTGdjPSUGMNGrFzaOWIpPkmJwq+qe8rivtRNe6jMOM30jO+V9G+VyfJh4DFsyrkF2f5IpBeBqaYN3B0zFVN9enfK+gGIDLU1frQSKXiJTdiwnA8ll99SW+TT+LBaERsKCM15GyqPZ6cqfvypySnEq9zYWhHXO72N3JxcE/F/sSZXPC5TiVG4WYvNyMMLH34A167ruVlepDKQfll+julfWlCj2vtFhoqsO++Z0FSwoMZARbsEYPj4I6VVFuNdQDSexNcIdPTvtokwpxV8u/YZDuaktcqMAQHFDLVbH7sJ/R8zHFJ/OCUwGu/pBTs+qLSOjAoa46X/uhCHtyryhcXVVWUMdzudnY6xPkAFr1lKdrEmrILFO1mSI6nRLsfk5uFenvieKJwS/3EpiQcl9zpZWGv++AMUKNnPA6bj6hg3fMO1CCEGYgztGuYcgwsmrU3sJ4kru4uBDAUlb/nHtKOSdNJQzxM0PIfYuKqN+DgTOEitM68TeGkO4V1ej8QsTgNqdfQ0hxFH1z6IZBRDs2L7MwvWyJsUmagYYEjR1+TXVGsvIKUVutXnc9evDnJDeGv++7MRijGRBnNlgQYmZ2pmVAF7NnA4K4F59NWKL7nTK+xNC8N8R82Evtmx1MeQJBwkvwjejFph8ngF3a1utJti5WnXenCFtLOnZT203OAHgbWuP4Vqu+jmfl41lh35B7x8+R9TPX2HA5v/io8tnUN5gvKRLXZ2DRPMeVxwhcLI0j7t+fZgWFIYAe0e1AfUL/YfAUmTa3yPNOFCdH6aOBSVmRi4ISCzNx/XSAq0mtN6trei0uoQ49MCBKc/gDz0Hw95C8YVszVtgcXAU9k99GtE9jLvHgj48HhKh8U7OxdIawz2NeyfX09kVT4cPbPM5AsXF8MMRU7QKsDanJGDpoV9wIT9HeaxS2oCN1y9jzt6fUaxhiKK7Gu3jD2sNK2sESjE7xLR7D/XJUiTClpkLEejgBEAxvEXu/xcAnu03CM/1M/7qNn1RzCnR7WHqzCO8ZEApxZb0eHx14zzu1dfcP8qBgoLwFKquNXYWnbtDsYe1Hd6MmoA3oyagUS6HBceZ/OTWh030DUWkiwdSyu6p7Il4bcBo5STXCmk9iupq4SCWwN3GsHkp3h4yDu42tvhvwkVUPpTuP8ypB94ZOgEjvBSBU4NMhjpZI+zFlhA9klDtdkUZ3j4fAwCt2iunFHk1Vfjb+RhsmDS3cxtjgqwtxHi+/2B8duV8m8/zhMDP3hFTA0MNXLOuzdvOHkcWPIlTuVn4/fb9PED2jljUKxIB94MVc8GDgteht0OX13YVLCgxE58mnsbXyRfafI7KCdBGYCLhRBjjabjdZMW88VafdBYRx+HnyQvxwsm9iC3MaZGnxILj8cbAsVgU1g9p5SX4LO4sjuZkKHtWot288Er/ERjtY5hNsAgheDZyMJ7sMwBXCu+iqlEKXzsHRLi4gxCC68WF+DrhEo5mp0OgFFYiERaEReK5foOVu7ZuTk0AR4javZyO3klHQU01SwbWhlX9h6K8oQHfJ8Upc5Q0f55Bjs74cfp8kx/S7Aw8x2GCfzAm+LPdr80d++03A7cqilUGJLi/EPTRwIQA+EPPwbCzkBiolubLUWKFrVOfwI3SQhzOTkNtUyMC7J0wNygcDhJLJBYXYNGhbWiUy1sM9cQXF2DFkZ34bPR0zA+NMFh9JbwII70DWhw7lp2BZ2P2AoCyjvUyGbakJmB/5k38OnsJgh2dcakgV+MSTQogvigfnrbmkWVTnzhC8Pfh47C0Tz/8cjMJ2VUVsLEQY3pQGMb6BrJU/92cYl5Ix4dgzGFOCQtKzMDW9Hjwau5eoVxiRsHf3zdifmA/rI0Yoyxxr64ah3PSUNUohbeNPab6hcHaDNK/G1KEiwciXDxaHKOU4qVT+yF9JCABHlz8Xz93GGN9guBiZZwN9SqlDVh9fD+E+4m8HianFFWNDVh9fB8OzVup9TnNaISuUwQ7OuPNoWM0F2S6FcW8EN1eb+pYUGIGUstVz2d4WKidK4a4+2JhUBQinD0BKPbgeOdSDH7JSAK9H7TIqIC/XTqKNwaMxYpeAzq7+mbtQkEO7lRVqC0jEyh+SUvC8/2GGKZSj9iVngypXKbyHktOKVLLihFfVIChnr64WVas9veNIwRRrmwHaIZh2o8FJWZAwltozNYJAM/3GY65gS2HCdaeO4Dfs9OUuxg3bx5YJ2vC3y/HgCMEy3oadm8aqVyGw3fS8GvGDRTV18DdyhbzQyMwzb+nyc1LuV5SqFXyp+slhQaqUWtxhXkgIGjdT/IARwji7uVhWZ/++P5GnMpyPCEms7mcQCli83KQUFQAQgiGevpigHvnJTRkGE3YRFcWlJiF8d7BOF+YpbYMTwhGeAS0OJZYUoCD2bfUvu6ja6fxeHCEwTYJK66vxbLDO3CrogQcCARQpJeX4kz+HXzjdAmbpy6CSzt33jUmnnAao0VCABGn3wuhXBBw5E46fkqOR2pZMcQcj8kBIVgZPgBhzo/sSE2gNiB5WKCDEz4YORlvnTvaasiQJwQ+dg74YOQkfTalU1wvLsTqmP3Iqa5ULi+VU4o+Lm74etIss1vVwZgGQig4HXb6JWawSzCbVWUG5gdFws5ConJ3SY4QzA0Ih6uVbYvjOzOSNG6aV90kxbG7GXqrqzqUUjx7fA8yKksBQNl70/zftIoSPH9ir0Hqoi8jvPyV9VdFoFSveUyaBDleOLYPLxzbhyuFd1EpbUBxfS2237yOqbs2YV9GaovyA929NZ5ToBQDPRTllvTuh63TF2Kkd4DyN85RYonn+g3Bb3OWoYeRE8VpklFeisX7duDu/f1S5JQqg6tbZcV4/LdtKGK5VhjGKFhPSScQKMXBOzfxY2qcsvt+hKc/nuozECO8AvT+fvZiS/wwbiFWnNiBenmTcqigedhgQA9vvDd4SqvXFdRVKYdrVOEIQUGtIj12aX0d9mQm405VBWwsLDDVPwxRrvrr7r5WnI9rxap3DZZTisv37iKxuAD9XD318p6drY+LGwa6eyO+KL/NeRgcCOzEYswJ7q239/zPtQs4eicdQMtcIs3/f83Jg+jTww0h91PKzwsNx0eXz6icV8ITgp7Oroh66DMf7u2P4d7+aJDJIJXLYCeWmMzW8f+5dhFSuazNITU5pSipr8MfD+/BlxNmwt/BUa/vLRcEnM/LQUZ5KaxEFhjrF2gSQ12MYfAQoMsANW8Ge9+woETPBEqx5uwB/HY7pcVcglN5t3H8bib+3H8UXuw3XO/vO8DVB8dn/QlbM+Kx706KYlmqnROWhg7AdP9ebe5Q6yC20rBqR9EeR4kVNiRdxsdXzyjyKnAEoMA3SZcxyN0HGyfMhbMehlSOZqdDdH+irSo8ITiak24yQQkAfDVuNuYf2IKC2uoWF0KeEIh5Ht9Nmq+3lU4NMhk23bimcTDm5+R4/GPERACK9Of/nTAbz8bsBQVtNSTjILHEV+NntRl8WopEJpXiu7apEQczb2mcGJ5YXIjxO77Dh2OmYEFP/SzXPpN7B6+fOoKC2mrl0CRHCGYF98Q/x0yGTTdZ7Xa3uhK7biUjv6YaDhIJZoX0QqSrh+YXdgNsTgkLSvTux9Q4/HY7BQBaXICavwQ/iz+LKFdPjPLSf8Isd2s7rOk7Gmv6jtaq/OzA3th9+4baMmKOR3l9Pf555ZTymCA8aNe1ojwsP7ITv81a3ir7p7YSigrw7Y2r+D0rDbLmz4woHo9eBzlCTG4nW08bOxyauxI/pyZg680E3KurgZ1YgseCw/GH8AHwt9ff/IXkknuoapSqLSOnFDHZGcqgBAAm+Adj79xlWJ9wCYfvpEFOKaxFFljYMxLP9h1sNnfzZfV1GnsHm8kpxWunDiPQwUk5dNVRsXk5ePLQLlDackhSoBT7M2+hsLYGW2Yt7PDfkCkQKMW6i6fxbeJVEEKUw80bE69ilI8//jtpNuwlLG9Sd8eCEj0SKMW3yVfUluEJwXfJVzslKGmv0V6B6OvigWQ1KdJX9OyPr69fUnkOOaW4UXoPMTkZmBYQ1u46/JKWhNfOHG6dJZQqHpRrGZjIBAFBDs7tfh9jc5RY4cWoYXgxalinvk+jINeqXJO89YU5ooc7/jtxNhrlctTLmmBrITaLZF4yQUB5Qz0sRSLYSyy1WqnWjCMEGxKuYODUjgcllFL8X+xJoI08MIDie+NSwV0cu5OBqUHt/xvSN6lchvL6etiIxbAT6y9I+Pzqefwv8SoAxWfy8Fyr2LwcPHtkL7bOWtitVz9xOk501eW1XQULSvQor6YSebXqtx2XU4rzBdkGqpF6HCHYNGEBnjrxKxJKCsATDpQqsr7KKcXSsCgMdffH/5JULwEFFIHWrowb7Q5K0spL8PrZI6B4dB+VB8neQB/6JxSp6ucE9WnX+5i6SmkDdqUl49DtNNQ0NiLEyRlLevfDMC/fVl/gIY4uGpcg84QgvIebyufFPG9yS6/bUiltwIaEK9iSkohKqWKvn4EeXujj4qYx10ozOaU4npMJmSB0uBcjtbQYqaXFastwhGBb6nWjBiV51VX4Ov4Sfr2lyFtDAIzyCcALA4ZgqJevTueulDbgm3jVN2xySnEhPxeXC+5iiI7vZcrY8A0LSvRK225hgQr3L/7GvyNwtrTGnmnLceFeDg7cuYlKaQN8bB2wICQSIQ4u2JmepPEccko7tDPsTynxKtYLNSOKu0v6oLfkb4PHw16Pd29d3Y2Se1h2YCcqpQ3Kr5v08hIcyLyFmcE98e9x02HxUADham2DqQGhOHInXe3+NCvDTTcpXm5VBXKrq2AnFiO8h3ubE2zL6uswf+825FRVtPgcrt0rgEBVb1DZFoFSNMnlHQ5K7larv1Fpfo9sDUn2OtPtijLM37sVVVKp8vOiAM7nZePs3Tv4fMIMzAnVbjJ2k1yOI1np2HEzCfk11XC2tIKfvYPGXjyecNibnsqCEhaUMO0lUIrE4gKUN9TD3cYWfZzdQAiBt40D7MUStWP6HAj6OLu3CkgopbhWlI+9GSkora+Dm7Uthnj6wpIXwZIXQSrIkF9TDRsLMcb6BsJBor/dfQkhGO7hj+EerZelumpa3kkVd3kEBNfu5SPKzVPrVRin72Zpcbeq6Gz3sLbFa9FjMC8kXKtztyWjvBTp5aWQ8DwGe/rCVqzbxMLMijLk3N+7pL+bZ4vgQB+qpFIsO7ATVY3SFl81zZ/Zwcxb8La1V6Yrv1NZjm2p11EllUJEeAhUrpjD8NCPgwCYG9oHY307Z/iwoqEe14vvgYIiood7h1Lnp5eVILe6EvZiS0S5eyqDgetFhfjgwilcKrirLOtla4eXoodhUa/IFn9T/xd7qlVAAjyY50UpYMFzaBI030j0sLLWaTKvtvMkHMSdu2O3OmuOH2oRkDRr/vefT/6OYd5+cLNW/31QKW3AigO/IrH4QdLA2wCuFOZprIOcCiipr+twGxjzwIKSdtqTnoxPr55DXs2Du58wJxe8OWQsxvkGYUlYFDYmX1bZfS6A4sne0S2O1TY14vmY33Am745ybxoA2JR8rc1ziDkey/tE4Y0hY9pcVaNPI7z84WxphbKG+tZPCooHBZBQWIB5v22Bl60d1g4cicfDNK9Y0Kb7HADeGjgWz0QM7PD8htTSYvztbAzi7j1YbmzJi7A8PAqvDh7V7qGKhKICvBd7AtfuFSiPOVta4YX+Q/B0ZLTeesB2pSW36CF5FAXw4414rO4/FP+7fgVfXruoXE3FEQLFx6vobQJRXFyfiRyIP/UbrPdeuiqpFB9cOIXdacnKCz1PCGaF9MLfh4+DsxbByZWCu/i/2JO4XnxPeczVygYvRQ9Fbxc3LNn/S6veyPyaarxx+igKa2vwykDFqrbS+jrsz7ip9veLJwQzg3qhoK4al/JzVX7GHCFY1idKp88r2t0LLpZWKG3rb+g+AmjdE6FvN4rvIbFYfUZhgVL8kpqE1dFD1ZZbe+IQbpTcU74G0H7+Dk8I3DUEPeaOI4qHLq83daY/i82AfrgRhzWnDrUISAAgvbwUTx3ehcNZaVjdbxh6Obm22VtAAEzxC8XcR+ZEvHh8P87lK+aZyLUYAmoU5Pj+Rhz+fOqQcjZ/Z7HgeLwW3cZqnvsBCXlkACa/php/OfU7vr2ufsIvAPR39VRm01SFIwTzQsI7HJDcKivG/L1bkVBU0OJ4g1yGb69fxfMx+zSmgH9YXGE+Fv62HQlFLb/Eyxrq8f6FU/i/C6c6VM+2HM5K01imQS7Dukun8eW1iwAeBHrNbeIJgaPECttnLsbFpc/juaghes8nUtvUiMX7tmPnrRsteh7klGJ/xk3M37tNOadDldi8HDyx7xfcKClqcby4vhZvnzuOZw7vgYwKKn9Wn1+Nxe2KMgCKIS9NQ6lySnHtXj6+mjgTnrZ2bf4e8oQgwN4RT0VGt3EG7VnwPFZHq57gzBMCZytrzO/Z8V5AXcTfy9cwjKr4fXo4qG9LRnkpjmff1vpm41FySjFfT8uvTRV3f/imow9z2CWYBSVaKq6rxfsXT7b5XPOvwetnj8CC4/HLtCV4ps8g2D2Ud8DNygavR4/Ff8fObXGBTS69hxO5t9t1YWx+z32ZN3GtSP0XhT480bMf3h0yAWKOBwEgIgREUP81tu7SaRTV1agts6JPf413s9MDwuCqw93TP86fhFQua/N9KIDj2Zk4lp2p1bkopXjzzBG1F8fvk+KUd4q6qmls1OorZn/GTZXPySlFpbQBKaVFnbbcdFNSPG6WlqhMRpZdVYH18ZdVvl64v/RWAFX5uVZIGzRO3t2Weh1A60BZFUKAHlY22D13Ccb4BrZ4FUcIpgSG4tc5T+hlmeqTEf3xQv8hyroCUC6J7WFlg22zFup1SLZdtAxSNZU6np3Z4YCXIwQT/YMR5cbylXR3bPhGS7+m3VB7gaBQjKcevZOBWcG98NagcVjbfxRyayrAEw5+do5tXhT2Z97UmDBMFZ4QbL95HdFapAnX1R/CozEvJBy/3U7FyZzbOJl9W+2XPwWw89YNrOqvurt3iKcv/hg5EP9LutpqmaaiK9cWfx82vsN1zq2qQGx+jtoyPCHYkpyAyQEhGs+XUFSItPJSDefjsC31Oj4Ypfv+L6FOLlqtEqlualT7PAWwNz1F5zv+Ns9NKX5OjlebSl+gFFtTEvGXwSPb/Bu4kJej1WRQdeSUIrVEscKlr6s7LDj180V4QjDcWzGHysPGDt9Pm4e71ZVILCoEIcAAdy942OgvNwshBK8NGYX5PcOxPfU6MsrLYCUSYVJACKYFhRk1Ad0QTx+NwS8BMMTLR22ZeplM48qvh78xeI6DQCkopZgZ3BMfj53SJSb/GxMH3XoKzKGXwehByddff41PPvkEBQUFCA8Px+eff45Ro0apLH/69GmsXbsWycnJ8PLywmuvvYbnnnuu0+uZXlGq8U5BxHFIryhR/ttSJEKoYw81r1AEMu1KnPAQOaXIqixv/ws7yEFiiRW9+6O8rh5nc+9ApmGSYHp5idrnAeCvg8ci1LEH1l+/pGyLJS/C46HheGXACJ16SW5r8dnIKUV6hfpAo5k27ZFTATc1LP/U1pI+/bD3kX1qHsaBwNPGFnn3twFQp0LD8ElHNchkKKxV3yMGAFWNUpTV18HNxrbVc+nlpR39E1AiACQixdwgR0srPBbaB7vSklUGdAKlWBEe1eKYj50DfOwcdKiFZsGOzvjrsLGd+h7tFebcA4M9fRBXmNfm50WgWCa+sFek2vMEOzpr/E4ghODZqEHwtLFDXnUV7CWWmBncU+/p/E0VTxQPXV5v6owalOzYsQOvvPIKvv76a4wYMQIbNmzAtGnTkJKSAj8/v1bls7KyMH36dPzxj3/E5s2bcf78ebzwwgtwdXXF/PnzO7WuEp6/3zOg+quTUgoJ376P1MvGvt1DN804EKNkQJTwvMY6cyBafRaEECzqGYmFYRHIramEVCaHt62dXtKuW2m5s7G25SRa3M0SAFZ6uusd5OGNuSG98VtGaqvfOg4EPEfwysDhePX0EbXn4QmBn52jXur0KAue1zqgUPX5WYpEOo+EUwDj/YOV//7r8LG4Xqzo2Xo0tb+cUrwzYjx6ubjq+K7m49/jp+PxvVtRVFfbapsBAoKvJs2Ck6WV2nNMDgyBg8QSVWomZwPAyvD+8DCTDMGM/hm1t+df//oXnn76aTzzzDPo3bs3Pv/8c/j6+mL9+vVtlv/mm2/g5+eHzz//HL1798YzzzyDp556Cp9++mmn13WSf4hWk+cm+gWrLfOox0L7dHiyqgCKGYE9O/RaXUz0D9EYlMiogIn+modEmpH7F85QJxe97QMT5eYJJw3j9BwhmKFlwqpR3v5azcuYHBCq1fk0IYTg03HTsKr/UFg/EjiFObtg26xFeLxnBHq7uKrtxZNTiiV9+uqlTo8ScRzG+AaqnbDMEYIB7p4q50yM8Q3Uai6CqhLc/f155j60esVBYoldjy3B2oEjlCs6CICRPv7YMnMBnow03TwtncHbzh4HHl+B56IGw/H+z0nEcZgZ3At75y/FJC2GNyW8CB+MUmxdoOpn9edBI1lAogYPovPD1Bmtp6SxsRFxcXF44403WhyfPHkyYmNj23zNhQsXMHny5BbHpkyZgu+++w5NTU2wsGh9xyuVSiGVPsgbUlXVsbHrMT6BCLR3Qk5169wHgOKOYqinL3o6t+/uy8fOAU9HDsS3SVfb9TqeELjb2GFGUK92vU4fQpxcMNonAOfzslV+Ft629hjvF2Twuj1MzPP4Y79B+Pjy2TafJyCQ8DyW9Omn1fmcrayxoGcEdtxMajMo4wiBnYUYc0P1l3FWxHH4y+CReKH/YFzIz0VtUxMCHRwR0eNBrpu3h43DsoM720xj3hwQ6CtQasufogbhVG6WyucFSvFs1GCVz3va2mFmcE8cyLzV5ufKEwJHSyt429rj+kP5LwBF+2wsLPDj9PmtNrSzsRBjdfRQrBowBPWyJlhwvN5zyZgTFytrvDpkFP4yeCSkchnEvKjdE1dnhvSCRCTCBxdO485Dw6du1jZ4ZeBwrf/Wuis2p8SIQUlJSQnkcjnc3d1bHHd3d0dhYdtr5gsLC9ssL5PJUFJSAk/P1jvHrlu3Dv/4xz90ri/Pcdg0bT4WH9iBwvtj+BRQ7vYZ6tQD/5kwq0PnfmvIWEh4ETZev6wxmVNzV7m7jR22Tl9otAlyX4yfiaUHdyCltFj5GTR/fbla2eDH6Qu6xL4pz0UNRk5VBbbfTGqxIzJHCCx5Eb6b9li7JjS+M3wccqoqcD4vp+2L44zHO2VIzdpCjAn+bffCDff2w/dT5+GNM0dQWFtzP0eJol7Tg8Lw4egpnbrR23BvP/xj5Hi8e+5Eiz2Mmj/vVwePxJRA9UHRujGTkV9ThauF+S0/1/tDlJtnLkCQoxMOZNzClpRE5FRVwE4sweyQXljap1+bc1WaEUL01vvWHRBCYKnlkGZbJgWEYKJ/MBKKClFYWw1HiSUGefqY9WaDjP4Q2tmJLlTIz8+Ht7c3YmNjMWzYgzX8H3zwAX7++WfcvNl6mWNYWBj+8Ic/4M0331QeO3/+PEaOHImCggJ4eLReTtZWT4mvry8qKythb2/f7npXN0qxOz0Zu9JuoLShHp42dljcqy9mBvXSOUAob6jH4TtpKK6rRUl9HTIqSpFdVQERx8FBLIGI4+FsaYUZQT0xLbCn0beMl8plOJB5E9tvJiG/pgrOllaYFxaO+WERXSoVPKUUVwrzsDk5AallxbASiTA5IBSLekV2aCKtXBAQcycDW1ITkVVRDluxGLOCe2FR70j00JQBtxPJBQFn72Yjo6IUliIRxvkGwduu/b/jHXWztBg/JSfg/N1sUFAM8fTB8vD+6KvlMs/m9ORbUxKRXV0JB7EEc0J7Y2GvSI3zGRims1RVVcHBwaHD14z2vEfmTQ/Y2XU8eKuuFhDcq7BT69rZjHZV69GjB3ieb9UrUlRU1Ko3pJmHh0eb5UUiEVxcXNp8jUQigUSPd652YglWhg/olL1DnCyt8EQv0+nelPAizA+LwHwtsrcaEyEEgz19MNhT/ZJGbfEch6lBYV1iR9eH8RyHsX6BGOtnnB2oe7m44p+jO74U2oLnMTOkF2aGGH5IkmG6Ag5Emb+mo683dUbrTxOLxYiOjkZMTEyL4zExMRg+fHibrxk2bFir8kePHsXAgQPbnE/CMAzDMKaC03GSKwtKdLR27Vp8++23+P7775Gamoo1a9YgJydHmXfkzTffxIoVK5Tln3vuOWRnZ2Pt2rVITU3F999/j++++w5/+ctfjNUEhmEYhmH0xKiTEhYtWoTS0lK89957KCgoQEREBA4dOgR/f0WmxYKCAuTkPMjIGRgYiEOHDmHNmjX473//Cy8vL3z55ZednqOEYRiGYTobG74x4kRXYzHEpCWGYRjGPBhyomv+LR/Y6zDRtapagFfPuyZ9fWNrtBiGYRiG6RKMvvcNwzAMwzAAd/9/HX+96TOHNjAMwzCMyWueU6LLo73OnDmDWbNmwcvLC4QQ7N27V/8NawcWlDAMwzBMN1VbW4t+/frhq6++MnZVALDhG4ZhGIbpEnjCgScd7yvgO7D4Ztq0aZg2bVqH31PfWFDCMAzDMF2AYghGlzklisW0j248q+/M5p2p2wUlzSugO7pbMMMwDNN9NF8rDJE9o6pa/Yas2r7e19e3xfF33nkH7777rk7nNpRuF5RUVyt2+H30h8YwDMMwqlRXV8PBwaFTzi0Wi+Hh4QH/6Ds6n8vDwwOJiYmwtLRUHjOVXhKgGwYlXl5eyM3NBaUUfn5+yM3NNdkkM9po3hWZtdM8dJd2At2nraydXRulFNXV1fDy8uq097C0tERWVhYaGxt1PpdYLG4RkJiabheUcBwHHx8fZZecvb29Sf2BdBRrp3npLu0Euk9bWTu7rs7qIXmYpaWlSQcT+tLtghKGYRiGYRRqamqQkZGh/HdWVhYSEhLg7OwMPz8/g9eHBSUMwzAM001dvXoV48aNU/577dq1AICVK1di06ZNBq9Ptw1KJBIJ3nnnHZOaANQRrJ3mpbu0E+g+bWXtZIxp7NixBllZpK1ut0swwzAMwzBdE0szzzAMwzBMl8CCEoZhGIZhugQWlDAMwzAM0yWYdVCybt06DBo0CHZ2dnBzc8PcuXNx69atFmUopXj33Xfh5eUFKysrjB07FsnJyUaqsX6sW7cOhBC88sorymPm0s68vDwsW7YMLi4usLa2RlRUFOLi4pTPm0M7ZTIZ/va3vyEwMBBWVlYICgrCe++9B0F4kILaVNupaZt0bdollUrx4osvokePHrCxscHs2bNx9+5dA7ZCM3XtbGpqwuuvv47IyEjY2NjAy8sLK1asQH5+fotzmHo7H/Xss8+CEILPP/+8xXFTaCdjOGYdlJw+fRqrVq3CxYsXERMTA5lMhsmTJ6O2tlZZ5uOPP8a//vUvfPXVV7hy5Qo8PDwwadIkZTp6U3PlyhVs3LgRffv2bXHcHNpZXl6OESNGwMLCAr///jtSUlLw2WefwdHRUVnGHNr50Ucf4ZtvvsFXX32F1NRUfPzxx/jkk0/wn//8R1nGVNupaZt0bdr1yiuvYM+ePdi+fTvOnTuHmpoazJw5E3K53FDN0EhdO+vq6nDt2jW8/fbbuHbtGnbv3o20tDTMnj27RTlTb+fD9u7di0uXLrWZFdUU2skYEO1GioqKKAB6+vRpSimlgiBQDw8P+uGHHyrLNDQ0UAcHB/rNN98Yq5odVl1dTUNDQ2lMTAwdM2YMffnllyml5tPO119/nY4cOVLl8+bSzhkzZtCnnnqqxbF58+bRZcuWUUrNp50A6J49e5T/1qZdFRUV1MLCgm7fvl1ZJi8vj3IcRw8fPmywurfHo+1sy+XLlykAmp2dTSk1r3bevXuXent70xs3blB/f3/673//W/mcKbaT6Vxm3VPyqMrKSgCAs7MzAEXmusLCQkyePFlZRiKRYMyYMYiNjTVKHXWxatUqzJgxAxMnTmxx3FzauW/fPgwcOBALFiyAm5sb+vfvj//973/K582lnSNHjsTx48eRlpYGAEhMTMS5c+cwffp0AObTzkdp0664uDg0NTW1KOPl5YWIiAiTbntlZSUIIcpeP3NppyAIWL58OV599VWEh4e3et5c2snoT7dJnkYpxdq1azFy5EhEREQAAAoLCwEA7u7uLcq6u7sjOzvb4HXUxfbt23Ht2jVcuXKl1XPm0s7bt29j/fr1WLt2Ld566y1cvnwZL730EiQSCVasWGE27Xz99ddRWVmJXr16ged5yOVyfPDBB3jiiScAmM/P81HatKuwsBBisRhOTk6tyjS/3tQ0NDTgjTfewJIlS5R7wphLOz/66COIRCK89NJLbT5vLu1k9KfbBCWrV6/G9evXce7cuVbPEUJa/JtS2upYV5abm4uXX34ZR48eVbuhk6m3UxAEDBw4EP/85z8BAP3790dycjLWr1+PFStWKMuZejt37NiBzZs3Y+vWrQgPD0dCQgJeeeUVeHl5YeXKlcpypt5OVTrSLlNte1NTExYvXgxBEPD1119rLG9K7YyLi8MXX3yBa9eutbvOptRORr+6xfDNiy++iH379uHkyZPw8fFRHvfw8ACAVhF5UVFRq7u1riwuLg5FRUWIjo6GSCSCSCTC6dOn8eWXX0IkEinbYurt9PT0RJ8+fVoc6927N3JycgCYz8/z1VdfxRtvvIHFixcjMjISy5cvx5o1a7Bu3ToA5tPOR2nTLg8PDzQ2NqK8vFxlGVPR1NSEhQsXIisrCzExMS12zjWHdp49exZFRUXw8/NTfi9lZ2fjz3/+MwICAgCYRzsZ/TLroIRSitWrV2P37t04ceIEAgMDWzwfGBgIDw8PxMTEKI81Njbi9OnTGD58uKGr22ETJkxAUlISEhISlI+BAwdi6dKlSEhIQFBQkFm0c8SIEa2WdKelpcHf3x+A+fw86+rqwHEt/zR5nlcuCTaXdj5Km3ZFR0fDwsKiRZmCggLcuHHDpNreHJCkp6fj2LFjcHFxafG8ObRz+fLluH79eovvJS8vL7z66qs4cuQIAPNoJ6NnxpphawjPP/88dXBwoKdOnaIFBQXKR11dnbLMhx9+SB0cHOju3btpUlISfeKJJ6inpyetqqoyYs119/DqG0rNo52XL1+mIpGIfvDBBzQ9PZ1u2bKFWltb082bNyvLmEM7V65cSb29vemBAwdoVlYW3b17N+3Rowd97bXXlGVMtZ3V1dU0Pj6exsfHUwD0X//6F42Pj1euOtGmXc899xz18fGhx44do9euXaPjx4+n/fr1ozKZzFjNakVdO5uamujs2bOpj48PTUhIaPHdJJVKlecw9Xa25dHVN5SaRjsZwzHroARAm48ffvhBWUYQBPrOO+9QDw8PKpFI6OjRo2lSUpLxKq0njwYl5tLO/fv304iICCqRSGivXr3oxo0bWzxvDu2sqqqiL7/8MvXz86OWlpY0KCiI/vWvf21xwTLVdp48ebLNv8mVK1dSSrVrV319PV29ejV1dnamVlZWdObMmTQnJ8cIrVFNXTuzsrJUfjedPHlSeQ5Tb2db2gpKTKGdjOGwXYIZhmEYhukSzHpOCcMwDMMwpoMFJQzDMAzDdAksKGEYhmEYpktgQQnDMAzDMF0CC0oYhmEYhukSWFDCMAzDMEyXwIIShmEYhmG6BBaUMAzDMAzTJbCghGG6oXfffRdRUVE6nePOnTsghCAhIUF57Pz584iMjISFhQXmzp2r0/kZhul+RMauAMMw5mPt2rWIiorC77//DltbW2NXh2EYE8N6ShiG0ZvMzEyMHz8ePj4+cHR0NHZ1GIYxMSwoYRgTtWHDBnh7e0MQhBbHZ8+ejZUrV2p1jp9//hkBAQFwcHDA4sWLUV1drXzu8OHDGDlyJBwdHeHi4oKZM2ciMzOzzfM0D+WUlpbiqaeeAiEEmzZt6nDbGIbpnlhQwjAmasGCBSgpKcHJkyeVx8rLy3HkyBEsXbpU4+szMzOxd+9eHDhwAAcOHMDp06fx4YcfKp+vra3F2rVrceXKFRw/fhwcx+Gxxx5rFQQBgK+vLwoKCmBvb4/PP/8cBQUFWLRokX4ayjBMt8HmlDCMiXJ2dsbUqVOxdetWTJgwAQCwc+dOODs7K/+tjiAI2LRpE+zs7AAAy5cvx/Hjx/HBBx8AAObPn9+i/HfffQc3NzekpKQgIiKixXM8z8PDwwOEEDg4OMDDw0MfTWQYppthPSUMY8KWLl2KXbt2QSqVAgC2bNmCxYsXg+d5ja8NCAhQBiQA4OnpiaKiIuW/MzMzsWTJEgQFBcHe3h6BgYEAgJycHD23gmEYRoEFJQxjwmbNmgVBEHDw4EHk5ubi7NmzWLZsmVavtbCwaPFvQkiLoZlZs2ahtLQU//vf/3Dp0iVcunQJANDY2Ki/BjAMwzyEDd8wjAmzsrLCvHnzsGXLFmRkZCAsLAzR0dE6n7e0tBSpqanYsGEDRo0aBQA4d+6czudlGIZRhwUlDGPili5dilmzZiE5OVnrXhJNnJyc4OLigo0bN8LT0xM5OTl444039HJuhmEYVdjwDcOYuPHjx8PZ2Rm3bt3CkiVL9HJOjuOwfft2xMXFISIiAmvWrMEnn3yil3MzDMOoQiil1NiVYBiGYRiGYT0lDMMwDMN0CSwoYRgzFB4eDltb2zYfW7ZsMXb1GIZh2sSGbxjGDGVnZ6OpqanN59zd3VvkJ2EYhukqWFDCMAzDMEyXwIZvGIZhGIbpElhQwjAMwzBMl8CCEoZhGIZhugQWlDAMwzAM0yWwoIRhGIZhmC6BBSUMwzAMw3QJLChhGIZhGKZLYEEJwzAMwzBdwv8DnagLnLoOBRgAAAAASUVORK5CYII=", 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" ] @@ -2466,6 +2419,26 @@ "bayes_output.plot_p_space(x=\"v_half\", y=\"scale\")" ] }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'scale': 1.0, 'v_half': 62.596215652392985}" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "p_space_df.drop(columns='Cost Function').iloc[1,:].to_dict()" + ] + }, { "attachments": {}, "cell_type": "markdown", @@ -2481,7 +2454,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 81, "metadata": {}, "outputs": [ { @@ -2490,13 +2463,13 @@ "" ] }, - "execution_count": 13, + "execution_count": 81, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", 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", 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" ] @@ -2512,6 +2485,65 @@ "output_eval.plot_impf_set()" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Here we show how the variability in parameter combinations with similar cost function values (as seen in the plot of the parameter space) translate to varying impact functions. In addition, the hazard value distribution is shown. Together this provides an intuitive overview regarding the robustness of the optimization, given the chosen cost function. It does NOT provide a view of the sampling uncertainty (as e.g. bootstrapping or cross-validation) NOR of the suitability of the cost function which is chosen by the user." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#select all hazard values at Exposure points\n", + "haz_vals = output_eval.input.hazard.intensity[:,output_eval.input.exposure.gdf.centr_TC]" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 80, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Plot the impact function variability\n", + "output_eval.plot_impf_variability(cost_func_diff=0.1)\n", + "output_eval.plot_impf_variability(cost_func_diff=0.2,plot_haz=True,haz_vals=haz_vals)" + ] + }, { "attachments": {}, "cell_type": "markdown", @@ -3092,7 +3124,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.16" + "version": "3.9.18" }, "orig_nbformat": 4 },