{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "

PPOL564 - Data Science I: Foundations

\n", "

Lecture 17

Eigen Decompositions as Data Reduction

" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "import numpy as np\n", "import numpy.linalg as la\n", "import seaborn as sns\n", "import matplotlib.pyplot as plt\n", "import requests\n", "import warnings\n", "warnings.filterwarnings(\"ignore\")\n", "\n", "def download_data(git_loc,dest_name):\n", " '''\n", " Download data from Github and save to the notebook's working directory.\n", " '''\n", " req = requests.get(git_loc)\n", " with open(dest_name,\"w\") as file:\n", " for line in req.text:\n", " file.writelines(line)\n", " \n", "download_data('https://raw.githubusercontent.com/edunford/ppol564/master/lectures/lecture_17/icews-repressive-actions-count.csv',\n", " \"icews-repressive-actions-count.csv\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Data" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The following is data drawn from the ICEWS event data set. The ICEWS is a machine coding procedure that picks over an international database of news articles and codes in real time international and domestic events. The coding project seeks to classify a broad range of political activity for the purposes of prediction of political instability. For more on ICEWS and the CAMEO coding scheme in which events are cataloged and binned, see [here](https://en.wikipedia.org/wiki/Integrated_Conflict_Early_Warning_System) and the codebook at Harvard's [Dataverse](https://dataverse.harvard.edu/dataverse/icews). \n", "\n", "ICEWS seeks to track everything political. For todays purposes, I've filtered and cleaned these data to only reflect indicators that reflect \"repressive\" behavior of states toward their domestic populations for 5 countries from 1995 to 2014: China, Nigeria, United Kingdom, United States, and Zimbabwe. The data have been aggregated to the country-year. \n", "\n", "In a way, we can think of these data as the observable record of state repressive activities to its domestic population. We want to use these data to build a measure of state repressive behavior by year. " ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "There are 100 observations in the data and 77 variables\n", "\n" ] }, { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
countryyearpolity2regime_typeabduct,_hijack,_or_take_hostageaccuseaccuse_of_aggressionaccuse_of_crime,_corruptionaccuse_of_espionage,_treasonaccuse_of_human_rights_abuses...threaten_to_reduce_or_break_relationsthreaten_to_reduce_or_stop_aidthreaten_with_administrative_sanctionstortureuse_as_human_shielduse_conventional_military_forceuse_tactics_of_violent_repressionuse_unconventional_violencevetoviolate_ceasefire
0China1995.0-7Non-democracy0120011...1001086100
1China1996.0-7Non-democracy0290003...00000295000
2China1997.0-7Non-democracy2280201...00020227100
3China1998.0-7Non-democracy1220002...000002718100
4China1999.0-7Non-democracy0340013...000207413000
\n", "

5 rows × 77 columns

\n", "
" ], "text/plain": [ " country year polity2 regime_type abduct,_hijack,_or_take_hostage \\\n", "0 China 1995.0 -7 Non-democracy 0 \n", "1 China 1996.0 -7 Non-democracy 0 \n", "2 China 1997.0 -7 Non-democracy 2 \n", "3 China 1998.0 -7 Non-democracy 1 \n", "4 China 1999.0 -7 Non-democracy 0 \n", "\n", " accuse accuse_of_aggression accuse_of_crime,_corruption \\\n", "0 12 0 0 \n", "1 29 0 0 \n", "2 28 0 2 \n", "3 22 0 0 \n", "4 34 0 0 \n", "\n", " accuse_of_espionage,_treason accuse_of_human_rights_abuses \\\n", "0 1 1 \n", "1 0 3 \n", "2 0 1 \n", "3 0 2 \n", "4 1 3 \n", "\n", " ... threaten_to_reduce_or_break_relations \\\n", "0 ... 1 \n", "1 ... 0 \n", "2 ... 0 \n", "3 ... 0 \n", "4 ... 0 \n", "\n", " threaten_to_reduce_or_stop_aid threaten_with_administrative_sanctions \\\n", "0 0 0 \n", "1 0 0 \n", "2 0 0 \n", "3 0 0 \n", "4 0 0 \n", "\n", " torture use_as_human_shield use_conventional_military_force \\\n", "0 1 0 8 \n", "1 0 0 29 \n", "2 2 0 22 \n", "3 0 0 27 \n", "4 2 0 74 \n", "\n", " use_tactics_of_violent_repression use_unconventional_violence veto \\\n", "0 6 1 0 \n", "1 5 0 0 \n", "2 7 1 0 \n", "3 18 1 0 \n", "4 13 0 0 \n", "\n", " violate_ceasefire \n", "0 0 \n", "1 0 \n", "2 0 \n", "3 0 \n", "4 0 \n", "\n", "[5 rows x 77 columns]" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dat = pd.read_csv('icews-repressive-actions-count.csv')\n", "print(f'''\n", "There are {dat.shape[0]} observations in the data and {dat.shape[1]} variables\n", "''')\n", "dat.head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As you'll quickly note, there are a **large** number of variables in these data. Some of the variables correspond with the unit of analysis (e.g. `country` and `year`) whereas others correspond with important covariates (e.g. [`polity2`]() and `regime_type`). The remaining variables, however, are counts of specific repressive event types as coded by ICEWS' automated CAMEO coding scheme. \n", "\n", "These variables are represented as counts, where the reported integer corresponds to the number of times that event type occurred within that respective country-year. \n", "\n", "Let's list off the entire list of variables contained in the dataset. As reported above there are 73 variables that report state repressive behavior." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "# Let's subset our data to only include the repressive indicators\n", "D_sub = dat.drop(['country','year','polity2','regime_type'],axis=1)" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Index(['abduct,_hijack,_or_take_hostage', 'accuse', 'accuse_of_aggression',\n", " 'accuse_of_crime,_corruption', 'accuse_of_espionage,_treason',\n", " 'accuse_of_human_rights_abuses', 'accuse_of_war_crimes',\n", " 'arrest,_detain,_or_charge_with_legal_action', 'assassinate',\n", " 'attempt_to_assassinate', 'ban_political_parties_or_politicians',\n", " 'bring_lawsuit_against', 'carry_out_suicide_bombing', 'coerce',\n", " 'complain_officially', 'conduct_hunger_strike',\n", " 'conduct_strike_or_boycott',\n", " 'conduct_suicide,_car,_or_other_non-military_bombing',\n", " 'confiscate_property', 'criticize_or_denounce', 'defy_norms,_law',\n", " 'demonstrate_military_or_police_power', 'demonstrate_or_rally',\n", " 'destroy_property', 'detonate_nuclear_weapons', 'employ_aerial_weapons',\n", " 'engage_in_mass_killings', 'expel_or_deport_individuals',\n", " 'expel_or_withdraw', 'expel_or_withdraw_peacekeepers', 'give_ultimatum',\n", " 'halt_mediation', 'halt_negotiations',\n", " 'impose_administrative_sanctions', 'impose_blockade,_restrict_movement',\n", " 'impose_curfew', 'impose_embargo,_boycott,_or_sanctions',\n", " 'impose_state_of_emergency_or_martial_law',\n", " 'increase_military_alert_status', 'increase_police_alert_status',\n", " 'kill_by_physical_assault', 'mobilize_or_increase_armed_forces',\n", " 'mobilize_or_increase_police_power', 'obstruct_passage,_block',\n", " 'occupy_territory', 'physically_assault', 'protest_violently,_riot',\n", " 'rally_opposition_against', 'reduce_or_break_diplomatic_relations',\n", " 'reduce_or_stop_economic_assistance',\n", " 'reduce_or_stop_humanitarian_assistance',\n", " 'reduce_or_stop_military_assistance', 'reduce_relations', 'reject',\n", " 'reject_mediation', 'reject_proposal_to_meet,_discuss,_or_negotiate',\n", " 'seize_or_damage_property', 'sexually_assault', 'threaten',\n", " 'threaten_non-force',\n", " 'threaten_to_ban_political_parties_or_politicians',\n", " 'threaten_to_halt_negotiations',\n", " 'threaten_to_impose_state_of_emergency_or_martial_law',\n", " 'threaten_to_reduce_or_break_relations',\n", " 'threaten_to_reduce_or_stop_aid',\n", " 'threaten_with_administrative_sanctions', 'torture',\n", " 'use_as_human_shield', 'use_conventional_military_force',\n", " 'use_tactics_of_violent_repression', 'use_unconventional_violence',\n", " 'veto', 'violate_ceasefire'],\n", " dtype='object')" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "D_sub.columns" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "It should become immediately clear that **we have a problem here**. There are **too many variables** seeking to capture different dimensions of state repression. This is even more of a problem given the limited number of observations that we have.\n", "\n", "If we were to use every variable, we'd run into estimation problems, but if we were to only use one or two repression dimensions, then we'd essentially be throwing away important information about the concept we care about. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Below we'll explore using **dimension reduction** using nothing more than the linear algebra concepts that we've covered thus far in class. Specifically, the **_eigendecomposition_**!" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Exploring the Data: How do our repressive indicators relate to one another?" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
abduct,_hijack,_or_take_hostageaccuseaccuse_of_aggressionaccuse_of_crime,_corruptionaccuse_of_espionage,_treasonaccuse_of_human_rights_abusesaccuse_of_war_crimesarrest,_detain,_or_charge_with_legal_actionassassinateattempt_to_assassinate...threaten_to_reduce_or_break_relationsthreaten_to_reduce_or_stop_aidthreaten_with_administrative_sanctionstortureuse_as_human_shielduse_conventional_military_forceuse_tactics_of_violent_repressionuse_unconventional_violencevetoviolate_ceasefire
abduct,_hijack,_or_take_hostage1.000.630.130.350.250.510.250.320.260.38...-0.010.220.290.750.280.71-0.060.530.230.44
accuse0.631.000.370.260.170.470.500.410.410.36...0.280.490.260.450.290.79-0.100.700.290.12
accuse_of_aggression0.130.371.00-0.100.03-0.030.81-0.020.14-0.05...0.170.200.080.16-0.020.34-0.170.16-0.010.09
accuse_of_crime,_corruption0.350.26-0.101.00-0.01-0.00-0.060.370.120.33...0.000.040.020.100.210.24-0.000.21-0.110.02
accuse_of_espionage,_treason0.250.170.03-0.011.000.190.18-0.030.09-0.02...0.090.110.170.210.070.030.170.000.27-0.07
accuse_of_human_rights_abuses0.510.47-0.03-0.000.191.000.050.000.380.32...0.130.420.040.350.390.40-0.120.360.130.03
accuse_of_war_crimes0.250.500.81-0.060.180.051.000.070.20-0.05...0.140.170.140.200.090.38-0.150.190.250.04
arrest,_detain,_or_charge_with_legal_action0.320.41-0.020.37-0.030.000.071.000.110.24...0.16-0.030.310.210.070.340.450.220.120.02
assassinate0.260.410.140.120.090.380.200.111.000.10...0.190.570.340.140.150.43-0.150.180.23-0.02
attempt_to_assassinate0.380.36-0.050.33-0.020.32-0.050.240.101.00...0.090.22-0.020.21-0.030.170.010.15-0.03-0.03
ban_political_parties_or_politicians0.200.16-0.040.70-0.02-0.16-0.020.310.010.23...-0.07-0.12-0.09-0.04-0.050.05-0.040.00-0.050.08
bring_lawsuit_against0.540.570.200.44-0.020.290.180.320.200.25...0.180.290.230.340.220.52-0.200.410.060.18
carry_out_suicide_bombing0.330.320.350.020.080.220.390.060.12-0.04...0.000.04-0.020.170.010.29-0.100.42-0.040.09
coerce0.470.430.040.34-0.010.130.120.690.070.35...0.080.030.230.320.050.430.310.300.110.13
complain_officially0.360.380.030.100.210.220.170.370.210.02...0.080.220.420.360.140.320.040.190.470.09
conduct_hunger_strike0.330.33-0.020.130.030.350.080.180.130.01...0.020.04-0.070.140.770.30-0.070.39-0.02-0.01
conduct_strike_or_boycott0.190.300.130.050.080.090.080.100.030.09...0.190.180.020.070.010.19-0.180.110.02-0.01
conduct_suicide,_car,_or_other_non-military_bombing0.200.480.27-0.000.040.230.370.250.230.02...0.020.150.280.110.130.33-0.170.350.47-0.08
confiscate_property0.170.32-0.04-0.010.190.060.030.56-0.030.07...0.10-0.070.330.240.050.320.410.390.110.11
criticize_or_denounce0.580.900.460.150.160.470.560.290.450.21...0.370.580.240.430.330.77-0.170.610.240.15
defy_norms,_law0.380.560.21-0.050.180.500.290.190.370.39...0.360.510.220.310.050.34-0.070.250.16-0.01
demonstrate_military_or_police_power0.460.610.150.020.260.260.390.260.410.13...0.120.380.550.400.000.42-0.090.250.700.02
demonstrate_or_rally0.210.360.130.07-0.010.250.040.120.180.11...0.200.250.150.120.090.31-0.070.440.020.05
destroy_property0.420.250.060.35-0.080.030.070.28-0.010.13...-0.01-0.020.160.320.010.460.080.360.070.36
detonate_nuclear_weapons0.040.390.300.040.01-0.010.33-0.020.140.04...0.520.32-0.050.030.060.19-0.150.09-0.03-0.02
employ_aerial_weapons0.570.590.320.010.020.300.370.090.210.08...0.120.280.240.590.110.81-0.140.620.160.46
engage_in_mass_killings0.210.280.030.020.080.290.09-0.040.100.22...0.120.34-0.010.16-0.030.22-0.160.140.210.06
expel_or_deport_individuals0.480.560.050.160.100.380.090.260.200.30...0.220.320.140.400.210.53-0.010.600.100.16
expel_or_withdraw-0.01-0.04-0.10-0.140.210.03-0.070.10-0.07-0.07...-0.02-0.150.010.010.10-0.080.35-0.01-0.06-0.05
expel_or_withdraw_peacekeepers0.030.05-0.06-0.110.120.05-0.07-0.10-0.030.09...-0.02-0.03-0.040.02-0.050.030.000.050.000.05
..................................................................
obstruct_passage,_block-0.010.05-0.020.04-0.06-0.06-0.030.01-0.04-0.02...-0.06-0.05-0.04-0.02-0.020.00-0.020.34-0.02-0.02
occupy_territory0.240.550.140.09-0.040.220.180.130.060.02...-0.040.260.070.250.290.660.010.81-0.010.17
physically_assault0.410.25-0.070.160.300.17-0.040.50-0.040.17...-0.03-0.090.370.520.100.310.520.290.160.19
protest_violently,_riot0.450.390.160.250.090.220.270.240.150.03...0.07-0.020.170.350.550.45-0.050.550.110.17
rally_opposition_against0.390.740.440.070.120.520.440.120.490.35...0.410.650.080.230.240.51-0.240.410.06-0.04
reduce_or_break_diplomatic_relations0.520.560.100.030.260.610.230.090.340.30...0.160.600.100.300.170.40-0.180.310.14-0.02
reduce_or_stop_economic_assistance0.430.560.43-0.000.050.430.40-0.030.450.11...0.190.720.190.430.090.67-0.300.450.130.32
reduce_or_stop_humanitarian_assistance0.110.280.29-0.050.220.120.220.070.40-0.03...0.180.410.200.020.060.22-0.060.040.04-0.06
reduce_or_stop_military_assistance0.210.500.13-0.040.180.170.18-0.020.200.08...0.300.690.030.140.020.37-0.220.330.110.03
reduce_relations0.400.540.100.360.040.210.180.630.160.31...0.260.200.190.260.160.520.120.450.040.09
reject0.610.900.320.310.120.440.380.420.380.28...0.290.440.290.420.310.80-0.110.700.210.18
reject_mediation0.130.180.220.02-0.060.060.080.11-0.000.13...-0.080.250.130.10-0.040.09-0.110.020.05-0.04
reject_proposal_to_meet,_discuss,_or_negotiate0.530.770.46-0.000.200.570.570.120.350.32...0.270.560.180.370.220.55-0.270.380.260.03
seize_or_damage_property0.230.220.100.10-0.02-0.020.090.550.110.05...0.120.090.330.200.020.320.300.140.030.26
sexually_assault0.290.440.090.02-0.030.300.150.120.260.27...0.100.170.050.180.240.34-0.160.210.04-0.00
threaten0.500.870.330.110.180.480.410.180.380.26...0.300.670.160.370.320.72-0.210.650.210.09
threaten_non-force0.010.09-0.090.24-0.06-0.10-0.010.34-0.01-0.06...-0.08-0.110.050.01-0.010.030.06-0.02-0.06-0.05
threaten_to_ban_political_parties_or_politicians0.210.20-0.040.230.080.010.190.180.13-0.03...0.020.020.200.11-0.020.10-0.090.040.35-0.02
threaten_to_halt_negotiations-0.060.130.14-0.09-0.020.040.120.15-0.01-0.03...0.200.05-0.05-0.050.010.09-0.110.12-0.03-0.02
threaten_to_impose_state_of_emergency_or_martial_law0.020.00-0.050.26-0.04-0.10-0.040.090.000.18...-0.02-0.070.01-0.02-0.020.020.02-0.03-0.03-0.02
threaten_to_reduce_or_break_relations-0.010.280.170.000.090.130.140.160.190.09...1.000.260.06-0.06-0.070.13-0.03-0.01-0.04-0.09
threaten_to_reduce_or_stop_aid0.220.490.200.040.110.420.17-0.030.570.22...0.261.000.160.180.010.43-0.260.290.140.02
threaten_with_administrative_sanctions0.290.260.080.020.170.040.140.310.34-0.02...0.060.161.000.43-0.020.340.150.130.510.14
torture0.750.450.160.100.210.350.200.210.140.21...-0.060.180.431.000.110.650.070.480.250.46
use_as_human_shield0.280.29-0.020.210.070.390.090.070.15-0.03...-0.070.01-0.020.111.000.33-0.080.43-0.02-0.02
use_conventional_military_force0.710.790.340.240.030.400.380.340.430.17...0.130.430.340.650.331.00-0.060.820.160.45
use_tactics_of_violent_repression-0.06-0.10-0.17-0.000.17-0.12-0.150.45-0.150.01...-0.03-0.260.150.07-0.08-0.061.00-0.02-0.130.04
use_unconventional_violence0.530.700.160.210.000.360.190.220.180.15...-0.010.290.130.480.430.82-0.021.000.050.35
veto0.230.29-0.01-0.110.270.130.250.120.23-0.03...-0.040.140.510.25-0.020.16-0.130.051.00-0.02
violate_ceasefire0.440.120.090.02-0.070.030.040.02-0.02-0.03...-0.090.020.140.46-0.020.450.040.35-0.021.00
\n", "

73 rows × 73 columns

\n", "
" ], "text/plain": [ " abduct,_hijack,_or_take_hostage \\\n", "abduct,_hijack,_or_take_hostage 1.00 \n", "accuse 0.63 \n", "accuse_of_aggression 0.13 \n", "accuse_of_crime,_corruption 0.35 \n", "accuse_of_espionage,_treason 0.25 \n", "accuse_of_human_rights_abuses 0.51 \n", "accuse_of_war_crimes 0.25 \n", "arrest,_detain,_or_charge_with_legal_action 0.32 \n", "assassinate 0.26 \n", "attempt_to_assassinate 0.38 \n", "ban_political_parties_or_politicians 0.20 \n", "bring_lawsuit_against 0.54 \n", "carry_out_suicide_bombing 0.33 \n", "coerce 0.47 \n", "complain_officially 0.36 \n", "conduct_hunger_strike 0.33 \n", "conduct_strike_or_boycott 0.19 \n", "conduct_suicide,_car,_or_other_non-military_bom... 0.20 \n", "confiscate_property 0.17 \n", "criticize_or_denounce 0.58 \n", "defy_norms,_law 0.38 \n", "demonstrate_military_or_police_power 0.46 \n", "demonstrate_or_rally 0.21 \n", "destroy_property 0.42 \n", "detonate_nuclear_weapons 0.04 \n", "employ_aerial_weapons 0.57 \n", "engage_in_mass_killings 0.21 \n", "expel_or_deport_individuals 0.48 \n", "expel_or_withdraw -0.01 \n", "expel_or_withdraw_peacekeepers 0.03 \n", "... ... \n", "obstruct_passage,_block -0.01 \n", "occupy_territory 0.24 \n", "physically_assault 0.41 \n", "protest_violently,_riot 0.45 \n", "rally_opposition_against 0.39 \n", "reduce_or_break_diplomatic_relations 0.52 \n", "reduce_or_stop_economic_assistance 0.43 \n", "reduce_or_stop_humanitarian_assistance 0.11 \n", "reduce_or_stop_military_assistance 0.21 \n", "reduce_relations 0.40 \n", "reject 0.61 \n", "reject_mediation 0.13 \n", "reject_proposal_to_meet,_discuss,_or_negotiate 0.53 \n", "seize_or_damage_property 0.23 \n", "sexually_assault 0.29 \n", "threaten 0.50 \n", "threaten_non-force 0.01 \n", "threaten_to_ban_political_parties_or_politicians 0.21 \n", "threaten_to_halt_negotiations -0.06 \n", "threaten_to_impose_state_of_emergency_or_martia... 0.02 \n", "threaten_to_reduce_or_break_relations -0.01 \n", "threaten_to_reduce_or_stop_aid 0.22 \n", "threaten_with_administrative_sanctions 0.29 \n", "torture 0.75 \n", "use_as_human_shield 0.28 \n", "use_conventional_military_force 0.71 \n", "use_tactics_of_violent_repression -0.06 \n", "use_unconventional_violence 0.53 \n", "veto 0.23 \n", "violate_ceasefire 0.44 \n", "\n", " accuse \\\n", "abduct,_hijack,_or_take_hostage 0.63 \n", "accuse 1.00 \n", "accuse_of_aggression 0.37 \n", "accuse_of_crime,_corruption 0.26 \n", "accuse_of_espionage,_treason 0.17 \n", "accuse_of_human_rights_abuses 0.47 \n", "accuse_of_war_crimes 0.50 \n", "arrest,_detain,_or_charge_with_legal_action 0.41 \n", "assassinate 0.41 \n", "attempt_to_assassinate 0.36 \n", "ban_political_parties_or_politicians 0.16 \n", "bring_lawsuit_against 0.57 \n", "carry_out_suicide_bombing 0.32 \n", "coerce 0.43 \n", "complain_officially 0.38 \n", "conduct_hunger_strike 0.33 \n", "conduct_strike_or_boycott 0.30 \n", "conduct_suicide,_car,_or_other_non-military_bom... 0.48 \n", "confiscate_property 0.32 \n", "criticize_or_denounce 0.90 \n", "defy_norms,_law 0.56 \n", "demonstrate_military_or_police_power 0.61 \n", "demonstrate_or_rally 0.36 \n", "destroy_property 0.25 \n", "detonate_nuclear_weapons 0.39 \n", "employ_aerial_weapons 0.59 \n", "engage_in_mass_killings 0.28 \n", "expel_or_deport_individuals 0.56 \n", "expel_or_withdraw -0.04 \n", "expel_or_withdraw_peacekeepers 0.05 \n", "... ... \n", "obstruct_passage,_block 0.05 \n", "occupy_territory 0.55 \n", "physically_assault 0.25 \n", "protest_violently,_riot 0.39 \n", "rally_opposition_against 0.74 \n", "reduce_or_break_diplomatic_relations 0.56 \n", "reduce_or_stop_economic_assistance 0.56 \n", "reduce_or_stop_humanitarian_assistance 0.28 \n", "reduce_or_stop_military_assistance 0.50 \n", "reduce_relations 0.54 \n", "reject 0.90 \n", "reject_mediation 0.18 \n", "reject_proposal_to_meet,_discuss,_or_negotiate 0.77 \n", "seize_or_damage_property 0.22 \n", "sexually_assault 0.44 \n", "threaten 0.87 \n", "threaten_non-force 0.09 \n", "threaten_to_ban_political_parties_or_politicians 0.20 \n", "threaten_to_halt_negotiations 0.13 \n", "threaten_to_impose_state_of_emergency_or_martia... 0.00 \n", "threaten_to_reduce_or_break_relations 0.28 \n", "threaten_to_reduce_or_stop_aid 0.49 \n", "threaten_with_administrative_sanctions 0.26 \n", "torture 0.45 \n", "use_as_human_shield 0.29 \n", "use_conventional_military_force 0.79 \n", "use_tactics_of_violent_repression -0.10 \n", "use_unconventional_violence 0.70 \n", "veto 0.29 \n", "violate_ceasefire 0.12 \n", "\n", " accuse_of_aggression \\\n", "abduct,_hijack,_or_take_hostage 0.13 \n", "accuse 0.37 \n", "accuse_of_aggression 1.00 \n", "accuse_of_crime,_corruption -0.10 \n", "accuse_of_espionage,_treason 0.03 \n", "accuse_of_human_rights_abuses -0.03 \n", "accuse_of_war_crimes 0.81 \n", "arrest,_detain,_or_charge_with_legal_action -0.02 \n", "assassinate 0.14 \n", "attempt_to_assassinate -0.05 \n", "ban_political_parties_or_politicians -0.04 \n", "bring_lawsuit_against 0.20 \n", "carry_out_suicide_bombing 0.35 \n", "coerce 0.04 \n", "complain_officially 0.03 \n", "conduct_hunger_strike -0.02 \n", "conduct_strike_or_boycott 0.13 \n", "conduct_suicide,_car,_or_other_non-military_bom... 0.27 \n", "confiscate_property -0.04 \n", "criticize_or_denounce 0.46 \n", "defy_norms,_law 0.21 \n", "demonstrate_military_or_police_power 0.15 \n", "demonstrate_or_rally 0.13 \n", "destroy_property 0.06 \n", "detonate_nuclear_weapons 0.30 \n", "employ_aerial_weapons 0.32 \n", "engage_in_mass_killings 0.03 \n", "expel_or_deport_individuals 0.05 \n", "expel_or_withdraw -0.10 \n", "expel_or_withdraw_peacekeepers -0.06 \n", "... ... \n", "obstruct_passage,_block -0.02 \n", "occupy_territory 0.14 \n", "physically_assault -0.07 \n", "protest_violently,_riot 0.16 \n", "rally_opposition_against 0.44 \n", "reduce_or_break_diplomatic_relations 0.10 \n", "reduce_or_stop_economic_assistance 0.43 \n", "reduce_or_stop_humanitarian_assistance 0.29 \n", "reduce_or_stop_military_assistance 0.13 \n", "reduce_relations 0.10 \n", "reject 0.32 \n", "reject_mediation 0.22 \n", "reject_proposal_to_meet,_discuss,_or_negotiate 0.46 \n", "seize_or_damage_property 0.10 \n", "sexually_assault 0.09 \n", "threaten 0.33 \n", "threaten_non-force -0.09 \n", "threaten_to_ban_political_parties_or_politicians -0.04 \n", "threaten_to_halt_negotiations 0.14 \n", "threaten_to_impose_state_of_emergency_or_martia... -0.05 \n", "threaten_to_reduce_or_break_relations 0.17 \n", "threaten_to_reduce_or_stop_aid 0.20 \n", "threaten_with_administrative_sanctions 0.08 \n", "torture 0.16 \n", "use_as_human_shield -0.02 \n", "use_conventional_military_force 0.34 \n", "use_tactics_of_violent_repression -0.17 \n", "use_unconventional_violence 0.16 \n", "veto -0.01 \n", "violate_ceasefire 0.09 \n", "\n", " accuse_of_crime,_corruption \\\n", "abduct,_hijack,_or_take_hostage 0.35 \n", "accuse 0.26 \n", "accuse_of_aggression -0.10 \n", "accuse_of_crime,_corruption 1.00 \n", "accuse_of_espionage,_treason -0.01 \n", "accuse_of_human_rights_abuses -0.00 \n", "accuse_of_war_crimes -0.06 \n", "arrest,_detain,_or_charge_with_legal_action 0.37 \n", "assassinate 0.12 \n", "attempt_to_assassinate 0.33 \n", "ban_political_parties_or_politicians 0.70 \n", "bring_lawsuit_against 0.44 \n", "carry_out_suicide_bombing 0.02 \n", "coerce 0.34 \n", "complain_officially 0.10 \n", "conduct_hunger_strike 0.13 \n", "conduct_strike_or_boycott 0.05 \n", "conduct_suicide,_car,_or_other_non-military_bom... -0.00 \n", "confiscate_property -0.01 \n", "criticize_or_denounce 0.15 \n", "defy_norms,_law -0.05 \n", "demonstrate_military_or_police_power 0.02 \n", "demonstrate_or_rally 0.07 \n", "destroy_property 0.35 \n", "detonate_nuclear_weapons 0.04 \n", "employ_aerial_weapons 0.01 \n", "engage_in_mass_killings 0.02 \n", "expel_or_deport_individuals 0.16 \n", "expel_or_withdraw -0.14 \n", "expel_or_withdraw_peacekeepers -0.11 \n", "... ... \n", "obstruct_passage,_block 0.04 \n", "occupy_territory 0.09 \n", "physically_assault 0.16 \n", "protest_violently,_riot 0.25 \n", "rally_opposition_against 0.07 \n", "reduce_or_break_diplomatic_relations 0.03 \n", "reduce_or_stop_economic_assistance -0.00 \n", "reduce_or_stop_humanitarian_assistance -0.05 \n", "reduce_or_stop_military_assistance -0.04 \n", "reduce_relations 0.36 \n", "reject 0.31 \n", "reject_mediation 0.02 \n", "reject_proposal_to_meet,_discuss,_or_negotiate -0.00 \n", "seize_or_damage_property 0.10 \n", "sexually_assault 0.02 \n", "threaten 0.11 \n", "threaten_non-force 0.24 \n", "threaten_to_ban_political_parties_or_politicians 0.23 \n", "threaten_to_halt_negotiations -0.09 \n", "threaten_to_impose_state_of_emergency_or_martia... 0.26 \n", "threaten_to_reduce_or_break_relations 0.00 \n", "threaten_to_reduce_or_stop_aid 0.04 \n", "threaten_with_administrative_sanctions 0.02 \n", "torture 0.10 \n", "use_as_human_shield 0.21 \n", "use_conventional_military_force 0.24 \n", "use_tactics_of_violent_repression -0.00 \n", "use_unconventional_violence 0.21 \n", "veto -0.11 \n", "violate_ceasefire 0.02 \n", "\n", " accuse_of_espionage,_treason \\\n", "abduct,_hijack,_or_take_hostage 0.25 \n", "accuse 0.17 \n", "accuse_of_aggression 0.03 \n", "accuse_of_crime,_corruption -0.01 \n", "accuse_of_espionage,_treason 1.00 \n", "accuse_of_human_rights_abuses 0.19 \n", "accuse_of_war_crimes 0.18 \n", "arrest,_detain,_or_charge_with_legal_action -0.03 \n", "assassinate 0.09 \n", "attempt_to_assassinate -0.02 \n", "ban_political_parties_or_politicians -0.02 \n", "bring_lawsuit_against -0.02 \n", "carry_out_suicide_bombing 0.08 \n", "coerce -0.01 \n", "complain_officially 0.21 \n", "conduct_hunger_strike 0.03 \n", "conduct_strike_or_boycott 0.08 \n", "conduct_suicide,_car,_or_other_non-military_bom... 0.04 \n", "confiscate_property 0.19 \n", "criticize_or_denounce 0.16 \n", "defy_norms,_law 0.18 \n", "demonstrate_military_or_police_power 0.26 \n", "demonstrate_or_rally -0.01 \n", "destroy_property -0.08 \n", "detonate_nuclear_weapons 0.01 \n", "employ_aerial_weapons 0.02 \n", "engage_in_mass_killings 0.08 \n", "expel_or_deport_individuals 0.10 \n", "expel_or_withdraw 0.21 \n", "expel_or_withdraw_peacekeepers 0.12 \n", "... ... \n", "obstruct_passage,_block -0.06 \n", "occupy_territory -0.04 \n", "physically_assault 0.30 \n", "protest_violently,_riot 0.09 \n", "rally_opposition_against 0.12 \n", "reduce_or_break_diplomatic_relations 0.26 \n", "reduce_or_stop_economic_assistance 0.05 \n", "reduce_or_stop_humanitarian_assistance 0.22 \n", "reduce_or_stop_military_assistance 0.18 \n", "reduce_relations 0.04 \n", "reject 0.12 \n", "reject_mediation -0.06 \n", "reject_proposal_to_meet,_discuss,_or_negotiate 0.20 \n", "seize_or_damage_property -0.02 \n", "sexually_assault -0.03 \n", "threaten 0.18 \n", "threaten_non-force -0.06 \n", "threaten_to_ban_political_parties_or_politicians 0.08 \n", "threaten_to_halt_negotiations -0.02 \n", "threaten_to_impose_state_of_emergency_or_martia... -0.04 \n", "threaten_to_reduce_or_break_relations 0.09 \n", "threaten_to_reduce_or_stop_aid 0.11 \n", "threaten_with_administrative_sanctions 0.17 \n", "torture 0.21 \n", "use_as_human_shield 0.07 \n", "use_conventional_military_force 0.03 \n", "use_tactics_of_violent_repression 0.17 \n", "use_unconventional_violence 0.00 \n", "veto 0.27 \n", "violate_ceasefire -0.07 \n", "\n", " accuse_of_human_rights_abuses \\\n", "abduct,_hijack,_or_take_hostage 0.51 \n", "accuse 0.47 \n", "accuse_of_aggression -0.03 \n", "accuse_of_crime,_corruption -0.00 \n", "accuse_of_espionage,_treason 0.19 \n", "accuse_of_human_rights_abuses 1.00 \n", "accuse_of_war_crimes 0.05 \n", "arrest,_detain,_or_charge_with_legal_action 0.00 \n", "assassinate 0.38 \n", "attempt_to_assassinate 0.32 \n", "ban_political_parties_or_politicians -0.16 \n", "bring_lawsuit_against 0.29 \n", "carry_out_suicide_bombing 0.22 \n", "coerce 0.13 \n", "complain_officially 0.22 \n", "conduct_hunger_strike 0.35 \n", "conduct_strike_or_boycott 0.09 \n", "conduct_suicide,_car,_or_other_non-military_bom... 0.23 \n", "confiscate_property 0.06 \n", "criticize_or_denounce 0.47 \n", "defy_norms,_law 0.50 \n", "demonstrate_military_or_police_power 0.26 \n", "demonstrate_or_rally 0.25 \n", "destroy_property 0.03 \n", "detonate_nuclear_weapons -0.01 \n", "employ_aerial_weapons 0.30 \n", "engage_in_mass_killings 0.29 \n", "expel_or_deport_individuals 0.38 \n", "expel_or_withdraw 0.03 \n", "expel_or_withdraw_peacekeepers 0.05 \n", "... ... \n", "obstruct_passage,_block -0.06 \n", "occupy_territory 0.22 \n", "physically_assault 0.17 \n", "protest_violently,_riot 0.22 \n", "rally_opposition_against 0.52 \n", "reduce_or_break_diplomatic_relations 0.61 \n", "reduce_or_stop_economic_assistance 0.43 \n", "reduce_or_stop_humanitarian_assistance 0.12 \n", "reduce_or_stop_military_assistance 0.17 \n", "reduce_relations 0.21 \n", "reject 0.44 \n", "reject_mediation 0.06 \n", "reject_proposal_to_meet,_discuss,_or_negotiate 0.57 \n", "seize_or_damage_property -0.02 \n", "sexually_assault 0.30 \n", "threaten 0.48 \n", "threaten_non-force -0.10 \n", "threaten_to_ban_political_parties_or_politicians 0.01 \n", "threaten_to_halt_negotiations 0.04 \n", "threaten_to_impose_state_of_emergency_or_martia... -0.10 \n", "threaten_to_reduce_or_break_relations 0.13 \n", "threaten_to_reduce_or_stop_aid 0.42 \n", "threaten_with_administrative_sanctions 0.04 \n", "torture 0.35 \n", "use_as_human_shield 0.39 \n", "use_conventional_military_force 0.40 \n", "use_tactics_of_violent_repression -0.12 \n", "use_unconventional_violence 0.36 \n", "veto 0.13 \n", "violate_ceasefire 0.03 \n", "\n", " accuse_of_war_crimes \\\n", "abduct,_hijack,_or_take_hostage 0.25 \n", "accuse 0.50 \n", "accuse_of_aggression 0.81 \n", "accuse_of_crime,_corruption -0.06 \n", "accuse_of_espionage,_treason 0.18 \n", "accuse_of_human_rights_abuses 0.05 \n", "accuse_of_war_crimes 1.00 \n", "arrest,_detain,_or_charge_with_legal_action 0.07 \n", "assassinate 0.20 \n", "attempt_to_assassinate -0.05 \n", "ban_political_parties_or_politicians -0.02 \n", "bring_lawsuit_against 0.18 \n", "carry_out_suicide_bombing 0.39 \n", "coerce 0.12 \n", "complain_officially 0.17 \n", "conduct_hunger_strike 0.08 \n", "conduct_strike_or_boycott 0.08 \n", "conduct_suicide,_car,_or_other_non-military_bom... 0.37 \n", "confiscate_property 0.03 \n", "criticize_or_denounce 0.56 \n", "defy_norms,_law 0.29 \n", "demonstrate_military_or_police_power 0.39 \n", "demonstrate_or_rally 0.04 \n", "destroy_property 0.07 \n", "detonate_nuclear_weapons 0.33 \n", "employ_aerial_weapons 0.37 \n", "engage_in_mass_killings 0.09 \n", "expel_or_deport_individuals 0.09 \n", "expel_or_withdraw -0.07 \n", "expel_or_withdraw_peacekeepers -0.07 \n", "... ... \n", "obstruct_passage,_block -0.03 \n", "occupy_territory 0.18 \n", "physically_assault -0.04 \n", "protest_violently,_riot 0.27 \n", "rally_opposition_against 0.44 \n", "reduce_or_break_diplomatic_relations 0.23 \n", "reduce_or_stop_economic_assistance 0.40 \n", "reduce_or_stop_humanitarian_assistance 0.22 \n", "reduce_or_stop_military_assistance 0.18 \n", "reduce_relations 0.18 \n", "reject 0.38 \n", "reject_mediation 0.08 \n", "reject_proposal_to_meet,_discuss,_or_negotiate 0.57 \n", "seize_or_damage_property 0.09 \n", "sexually_assault 0.15 \n", "threaten 0.41 \n", "threaten_non-force -0.01 \n", "threaten_to_ban_political_parties_or_politicians 0.19 \n", "threaten_to_halt_negotiations 0.12 \n", "threaten_to_impose_state_of_emergency_or_martia... -0.04 \n", "threaten_to_reduce_or_break_relations 0.14 \n", "threaten_to_reduce_or_stop_aid 0.17 \n", "threaten_with_administrative_sanctions 0.14 \n", "torture 0.20 \n", "use_as_human_shield 0.09 \n", "use_conventional_military_force 0.38 \n", "use_tactics_of_violent_repression -0.15 \n", "use_unconventional_violence 0.19 \n", "veto 0.25 \n", "violate_ceasefire 0.04 \n", "\n", " arrest,_detain,_or_charge_with_legal_action \\\n", "abduct,_hijack,_or_take_hostage 0.32 \n", "accuse 0.41 \n", "accuse_of_aggression -0.02 \n", "accuse_of_crime,_corruption 0.37 \n", "accuse_of_espionage,_treason -0.03 \n", "accuse_of_human_rights_abuses 0.00 \n", "accuse_of_war_crimes 0.07 \n", "arrest,_detain,_or_charge_with_legal_action 1.00 \n", "assassinate 0.11 \n", "attempt_to_assassinate 0.24 \n", "ban_political_parties_or_politicians 0.31 \n", "bring_lawsuit_against 0.32 \n", "carry_out_suicide_bombing 0.06 \n", "coerce 0.69 \n", "complain_officially 0.37 \n", "conduct_hunger_strike 0.18 \n", "conduct_strike_or_boycott 0.10 \n", "conduct_suicide,_car,_or_other_non-military_bom... 0.25 \n", "confiscate_property 0.56 \n", "criticize_or_denounce 0.29 \n", "defy_norms,_law 0.19 \n", "demonstrate_military_or_police_power 0.26 \n", "demonstrate_or_rally 0.12 \n", "destroy_property 0.28 \n", "detonate_nuclear_weapons -0.02 \n", "employ_aerial_weapons 0.09 \n", "engage_in_mass_killings -0.04 \n", "expel_or_deport_individuals 0.26 \n", "expel_or_withdraw 0.10 \n", "expel_or_withdraw_peacekeepers -0.10 \n", "... ... \n", "obstruct_passage,_block 0.01 \n", "occupy_territory 0.13 \n", "physically_assault 0.50 \n", "protest_violently,_riot 0.24 \n", "rally_opposition_against 0.12 \n", "reduce_or_break_diplomatic_relations 0.09 \n", "reduce_or_stop_economic_assistance -0.03 \n", "reduce_or_stop_humanitarian_assistance 0.07 \n", "reduce_or_stop_military_assistance -0.02 \n", "reduce_relations 0.63 \n", "reject 0.42 \n", "reject_mediation 0.11 \n", "reject_proposal_to_meet,_discuss,_or_negotiate 0.12 \n", "seize_or_damage_property 0.55 \n", "sexually_assault 0.12 \n", "threaten 0.18 \n", "threaten_non-force 0.34 \n", "threaten_to_ban_political_parties_or_politicians 0.18 \n", "threaten_to_halt_negotiations 0.15 \n", "threaten_to_impose_state_of_emergency_or_martia... 0.09 \n", "threaten_to_reduce_or_break_relations 0.16 \n", "threaten_to_reduce_or_stop_aid -0.03 \n", "threaten_with_administrative_sanctions 0.31 \n", "torture 0.21 \n", "use_as_human_shield 0.07 \n", "use_conventional_military_force 0.34 \n", "use_tactics_of_violent_repression 0.45 \n", "use_unconventional_violence 0.22 \n", "veto 0.12 \n", "violate_ceasefire 0.02 \n", "\n", " assassinate \\\n", "abduct,_hijack,_or_take_hostage 0.26 \n", "accuse 0.41 \n", "accuse_of_aggression 0.14 \n", "accuse_of_crime,_corruption 0.12 \n", "accuse_of_espionage,_treason 0.09 \n", "accuse_of_human_rights_abuses 0.38 \n", "accuse_of_war_crimes 0.20 \n", "arrest,_detain,_or_charge_with_legal_action 0.11 \n", "assassinate 1.00 \n", "attempt_to_assassinate 0.10 \n", "ban_political_parties_or_politicians 0.01 \n", "bring_lawsuit_against 0.20 \n", "carry_out_suicide_bombing 0.12 \n", "coerce 0.07 \n", "complain_officially 0.21 \n", "conduct_hunger_strike 0.13 \n", "conduct_strike_or_boycott 0.03 \n", "conduct_suicide,_car,_or_other_non-military_bom... 0.23 \n", "confiscate_property -0.03 \n", "criticize_or_denounce 0.45 \n", "defy_norms,_law 0.37 \n", "demonstrate_military_or_police_power 0.41 \n", "demonstrate_or_rally 0.18 \n", "destroy_property -0.01 \n", "detonate_nuclear_weapons 0.14 \n", "employ_aerial_weapons 0.21 \n", "engage_in_mass_killings 0.10 \n", "expel_or_deport_individuals 0.20 \n", "expel_or_withdraw -0.07 \n", "expel_or_withdraw_peacekeepers -0.03 \n", "... ... \n", "obstruct_passage,_block -0.04 \n", "occupy_territory 0.06 \n", "physically_assault -0.04 \n", "protest_violently,_riot 0.15 \n", "rally_opposition_against 0.49 \n", "reduce_or_break_diplomatic_relations 0.34 \n", "reduce_or_stop_economic_assistance 0.45 \n", "reduce_or_stop_humanitarian_assistance 0.40 \n", "reduce_or_stop_military_assistance 0.20 \n", "reduce_relations 0.16 \n", "reject 0.38 \n", "reject_mediation -0.00 \n", "reject_proposal_to_meet,_discuss,_or_negotiate 0.35 \n", "seize_or_damage_property 0.11 \n", "sexually_assault 0.26 \n", "threaten 0.38 \n", "threaten_non-force -0.01 \n", "threaten_to_ban_political_parties_or_politicians 0.13 \n", "threaten_to_halt_negotiations -0.01 \n", "threaten_to_impose_state_of_emergency_or_martia... 0.00 \n", "threaten_to_reduce_or_break_relations 0.19 \n", "threaten_to_reduce_or_stop_aid 0.57 \n", "threaten_with_administrative_sanctions 0.34 \n", "torture 0.14 \n", "use_as_human_shield 0.15 \n", "use_conventional_military_force 0.43 \n", "use_tactics_of_violent_repression -0.15 \n", "use_unconventional_violence 0.18 \n", "veto 0.23 \n", "violate_ceasefire -0.02 \n", "\n", " attempt_to_assassinate \\\n", "abduct,_hijack,_or_take_hostage 0.38 \n", "accuse 0.36 \n", "accuse_of_aggression -0.05 \n", "accuse_of_crime,_corruption 0.33 \n", "accuse_of_espionage,_treason -0.02 \n", "accuse_of_human_rights_abuses 0.32 \n", "accuse_of_war_crimes -0.05 \n", "arrest,_detain,_or_charge_with_legal_action 0.24 \n", "assassinate 0.10 \n", "attempt_to_assassinate 1.00 \n", "ban_political_parties_or_politicians 0.23 \n", "bring_lawsuit_against 0.25 \n", "carry_out_suicide_bombing -0.04 \n", "coerce 0.35 \n", "complain_officially 0.02 \n", "conduct_hunger_strike 0.01 \n", "conduct_strike_or_boycott 0.09 \n", "conduct_suicide,_car,_or_other_non-military_bom... 0.02 \n", "confiscate_property 0.07 \n", "criticize_or_denounce 0.21 \n", "defy_norms,_law 0.39 \n", "demonstrate_military_or_police_power 0.13 \n", "demonstrate_or_rally 0.11 \n", "destroy_property 0.13 \n", "detonate_nuclear_weapons 0.04 \n", "employ_aerial_weapons 0.08 \n", "engage_in_mass_killings 0.22 \n", "expel_or_deport_individuals 0.30 \n", "expel_or_withdraw -0.07 \n", "expel_or_withdraw_peacekeepers 0.09 \n", "... ... \n", "obstruct_passage,_block -0.02 \n", "occupy_territory 0.02 \n", "physically_assault 0.17 \n", "protest_violently,_riot 0.03 \n", "rally_opposition_against 0.35 \n", "reduce_or_break_diplomatic_relations 0.30 \n", "reduce_or_stop_economic_assistance 0.11 \n", "reduce_or_stop_humanitarian_assistance -0.03 \n", "reduce_or_stop_military_assistance 0.08 \n", "reduce_relations 0.31 \n", "reject 0.28 \n", "reject_mediation 0.13 \n", "reject_proposal_to_meet,_discuss,_or_negotiate 0.32 \n", "seize_or_damage_property 0.05 \n", "sexually_assault 0.27 \n", "threaten 0.26 \n", "threaten_non-force -0.06 \n", "threaten_to_ban_political_parties_or_politicians -0.03 \n", "threaten_to_halt_negotiations -0.03 \n", "threaten_to_impose_state_of_emergency_or_martia... 0.18 \n", "threaten_to_reduce_or_break_relations 0.09 \n", "threaten_to_reduce_or_stop_aid 0.22 \n", "threaten_with_administrative_sanctions -0.02 \n", "torture 0.21 \n", "use_as_human_shield -0.03 \n", "use_conventional_military_force 0.17 \n", "use_tactics_of_violent_repression 0.01 \n", "use_unconventional_violence 0.15 \n", "veto -0.03 \n", "violate_ceasefire -0.03 \n", "\n", " ... \\\n", "abduct,_hijack,_or_take_hostage ... \n", "accuse ... \n", "accuse_of_aggression ... \n", "accuse_of_crime,_corruption ... \n", "accuse_of_espionage,_treason ... \n", "accuse_of_human_rights_abuses ... \n", "accuse_of_war_crimes ... \n", "arrest,_detain,_or_charge_with_legal_action ... \n", "assassinate ... \n", "attempt_to_assassinate ... \n", "ban_political_parties_or_politicians ... \n", "bring_lawsuit_against ... \n", "carry_out_suicide_bombing ... \n", "coerce ... \n", "complain_officially ... \n", "conduct_hunger_strike ... \n", "conduct_strike_or_boycott ... \n", "conduct_suicide,_car,_or_other_non-military_bom... ... \n", "confiscate_property ... \n", "criticize_or_denounce ... \n", "defy_norms,_law ... \n", "demonstrate_military_or_police_power ... \n", "demonstrate_or_rally ... \n", "destroy_property ... \n", "detonate_nuclear_weapons ... \n", "employ_aerial_weapons ... \n", "engage_in_mass_killings ... \n", "expel_or_deport_individuals ... \n", "expel_or_withdraw ... \n", "expel_or_withdraw_peacekeepers ... \n", "... ... \n", "obstruct_passage,_block ... \n", "occupy_territory ... \n", "physically_assault ... \n", "protest_violently,_riot ... \n", "rally_opposition_against ... \n", "reduce_or_break_diplomatic_relations ... \n", "reduce_or_stop_economic_assistance ... \n", "reduce_or_stop_humanitarian_assistance ... \n", "reduce_or_stop_military_assistance ... \n", "reduce_relations ... \n", "reject ... \n", "reject_mediation ... \n", "reject_proposal_to_meet,_discuss,_or_negotiate ... \n", "seize_or_damage_property ... \n", "sexually_assault ... \n", "threaten ... \n", "threaten_non-force ... \n", "threaten_to_ban_political_parties_or_politicians ... \n", "threaten_to_halt_negotiations ... \n", "threaten_to_impose_state_of_emergency_or_martia... ... \n", "threaten_to_reduce_or_break_relations ... \n", "threaten_to_reduce_or_stop_aid ... \n", "threaten_with_administrative_sanctions ... \n", "torture ... \n", "use_as_human_shield ... \n", "use_conventional_military_force ... \n", "use_tactics_of_violent_repression ... \n", "use_unconventional_violence ... \n", "veto ... \n", "violate_ceasefire ... \n", "\n", " threaten_to_reduce_or_break_relations \\\n", "abduct,_hijack,_or_take_hostage -0.01 \n", "accuse 0.28 \n", "accuse_of_aggression 0.17 \n", "accuse_of_crime,_corruption 0.00 \n", "accuse_of_espionage,_treason 0.09 \n", "accuse_of_human_rights_abuses 0.13 \n", "accuse_of_war_crimes 0.14 \n", "arrest,_detain,_or_charge_with_legal_action 0.16 \n", "assassinate 0.19 \n", "attempt_to_assassinate 0.09 \n", "ban_political_parties_or_politicians -0.07 \n", "bring_lawsuit_against 0.18 \n", "carry_out_suicide_bombing 0.00 \n", "coerce 0.08 \n", "complain_officially 0.08 \n", "conduct_hunger_strike 0.02 \n", "conduct_strike_or_boycott 0.19 \n", "conduct_suicide,_car,_or_other_non-military_bom... 0.02 \n", "confiscate_property 0.10 \n", "criticize_or_denounce 0.37 \n", "defy_norms,_law 0.36 \n", "demonstrate_military_or_police_power 0.12 \n", "demonstrate_or_rally 0.20 \n", "destroy_property -0.01 \n", "detonate_nuclear_weapons 0.52 \n", "employ_aerial_weapons 0.12 \n", "engage_in_mass_killings 0.12 \n", "expel_or_deport_individuals 0.22 \n", "expel_or_withdraw -0.02 \n", "expel_or_withdraw_peacekeepers -0.02 \n", "... ... \n", "obstruct_passage,_block -0.06 \n", "occupy_territory -0.04 \n", "physically_assault -0.03 \n", "protest_violently,_riot 0.07 \n", "rally_opposition_against 0.41 \n", "reduce_or_break_diplomatic_relations 0.16 \n", "reduce_or_stop_economic_assistance 0.19 \n", "reduce_or_stop_humanitarian_assistance 0.18 \n", "reduce_or_stop_military_assistance 0.30 \n", "reduce_relations 0.26 \n", "reject 0.29 \n", "reject_mediation -0.08 \n", "reject_proposal_to_meet,_discuss,_or_negotiate 0.27 \n", "seize_or_damage_property 0.12 \n", "sexually_assault 0.10 \n", "threaten 0.30 \n", "threaten_non-force -0.08 \n", "threaten_to_ban_political_parties_or_politicians 0.02 \n", "threaten_to_halt_negotiations 0.20 \n", "threaten_to_impose_state_of_emergency_or_martia... -0.02 \n", "threaten_to_reduce_or_break_relations 1.00 \n", "threaten_to_reduce_or_stop_aid 0.26 \n", "threaten_with_administrative_sanctions 0.06 \n", "torture -0.06 \n", "use_as_human_shield -0.07 \n", "use_conventional_military_force 0.13 \n", "use_tactics_of_violent_repression -0.03 \n", "use_unconventional_violence -0.01 \n", "veto -0.04 \n", "violate_ceasefire -0.09 \n", "\n", " threaten_to_reduce_or_stop_aid \\\n", "abduct,_hijack,_or_take_hostage 0.22 \n", "accuse 0.49 \n", "accuse_of_aggression 0.20 \n", "accuse_of_crime,_corruption 0.04 \n", "accuse_of_espionage,_treason 0.11 \n", "accuse_of_human_rights_abuses 0.42 \n", "accuse_of_war_crimes 0.17 \n", "arrest,_detain,_or_charge_with_legal_action -0.03 \n", "assassinate 0.57 \n", "attempt_to_assassinate 0.22 \n", "ban_political_parties_or_politicians -0.12 \n", "bring_lawsuit_against 0.29 \n", "carry_out_suicide_bombing 0.04 \n", "coerce 0.03 \n", "complain_officially 0.22 \n", "conduct_hunger_strike 0.04 \n", "conduct_strike_or_boycott 0.18 \n", "conduct_suicide,_car,_or_other_non-military_bom... 0.15 \n", "confiscate_property -0.07 \n", "criticize_or_denounce 0.58 \n", "defy_norms,_law 0.51 \n", "demonstrate_military_or_police_power 0.38 \n", "demonstrate_or_rally 0.25 \n", "destroy_property -0.02 \n", "detonate_nuclear_weapons 0.32 \n", "employ_aerial_weapons 0.28 \n", "engage_in_mass_killings 0.34 \n", "expel_or_deport_individuals 0.32 \n", "expel_or_withdraw -0.15 \n", "expel_or_withdraw_peacekeepers -0.03 \n", "... ... \n", "obstruct_passage,_block -0.05 \n", "occupy_territory 0.26 \n", "physically_assault -0.09 \n", "protest_violently,_riot -0.02 \n", "rally_opposition_against 0.65 \n", "reduce_or_break_diplomatic_relations 0.60 \n", "reduce_or_stop_economic_assistance 0.72 \n", "reduce_or_stop_humanitarian_assistance 0.41 \n", "reduce_or_stop_military_assistance 0.69 \n", "reduce_relations 0.20 \n", "reject 0.44 \n", "reject_mediation 0.25 \n", "reject_proposal_to_meet,_discuss,_or_negotiate 0.56 \n", "seize_or_damage_property 0.09 \n", "sexually_assault 0.17 \n", "threaten 0.67 \n", "threaten_non-force -0.11 \n", "threaten_to_ban_political_parties_or_politicians 0.02 \n", "threaten_to_halt_negotiations 0.05 \n", "threaten_to_impose_state_of_emergency_or_martia... -0.07 \n", "threaten_to_reduce_or_break_relations 0.26 \n", "threaten_to_reduce_or_stop_aid 1.00 \n", "threaten_with_administrative_sanctions 0.16 \n", "torture 0.18 \n", "use_as_human_shield 0.01 \n", "use_conventional_military_force 0.43 \n", "use_tactics_of_violent_repression -0.26 \n", "use_unconventional_violence 0.29 \n", "veto 0.14 \n", "violate_ceasefire 0.02 \n", "\n", " threaten_with_administrative_sanctions \\\n", "abduct,_hijack,_or_take_hostage 0.29 \n", "accuse 0.26 \n", "accuse_of_aggression 0.08 \n", "accuse_of_crime,_corruption 0.02 \n", "accuse_of_espionage,_treason 0.17 \n", "accuse_of_human_rights_abuses 0.04 \n", "accuse_of_war_crimes 0.14 \n", "arrest,_detain,_or_charge_with_legal_action 0.31 \n", "assassinate 0.34 \n", "attempt_to_assassinate -0.02 \n", "ban_political_parties_or_politicians -0.09 \n", "bring_lawsuit_against 0.23 \n", "carry_out_suicide_bombing -0.02 \n", "coerce 0.23 \n", "complain_officially 0.42 \n", "conduct_hunger_strike -0.07 \n", "conduct_strike_or_boycott 0.02 \n", "conduct_suicide,_car,_or_other_non-military_bom... 0.28 \n", "confiscate_property 0.33 \n", "criticize_or_denounce 0.24 \n", "defy_norms,_law 0.22 \n", "demonstrate_military_or_police_power 0.55 \n", "demonstrate_or_rally 0.15 \n", "destroy_property 0.16 \n", "detonate_nuclear_weapons -0.05 \n", "employ_aerial_weapons 0.24 \n", "engage_in_mass_killings -0.01 \n", "expel_or_deport_individuals 0.14 \n", "expel_or_withdraw 0.01 \n", "expel_or_withdraw_peacekeepers -0.04 \n", "... ... \n", "obstruct_passage,_block -0.04 \n", "occupy_territory 0.07 \n", "physically_assault 0.37 \n", "protest_violently,_riot 0.17 \n", "rally_opposition_against 0.08 \n", "reduce_or_break_diplomatic_relations 0.10 \n", "reduce_or_stop_economic_assistance 0.19 \n", "reduce_or_stop_humanitarian_assistance 0.20 \n", "reduce_or_stop_military_assistance 0.03 \n", "reduce_relations 0.19 \n", "reject 0.29 \n", "reject_mediation 0.13 \n", "reject_proposal_to_meet,_discuss,_or_negotiate 0.18 \n", "seize_or_damage_property 0.33 \n", "sexually_assault 0.05 \n", "threaten 0.16 \n", "threaten_non-force 0.05 \n", "threaten_to_ban_political_parties_or_politicians 0.20 \n", "threaten_to_halt_negotiations -0.05 \n", "threaten_to_impose_state_of_emergency_or_martia... 0.01 \n", "threaten_to_reduce_or_break_relations 0.06 \n", "threaten_to_reduce_or_stop_aid 0.16 \n", "threaten_with_administrative_sanctions 1.00 \n", "torture 0.43 \n", "use_as_human_shield -0.02 \n", "use_conventional_military_force 0.34 \n", "use_tactics_of_violent_repression 0.15 \n", "use_unconventional_violence 0.13 \n", "veto 0.51 \n", "violate_ceasefire 0.14 \n", "\n", " torture \\\n", "abduct,_hijack,_or_take_hostage 0.75 \n", "accuse 0.45 \n", "accuse_of_aggression 0.16 \n", "accuse_of_crime,_corruption 0.10 \n", "accuse_of_espionage,_treason 0.21 \n", "accuse_of_human_rights_abuses 0.35 \n", "accuse_of_war_crimes 0.20 \n", "arrest,_detain,_or_charge_with_legal_action 0.21 \n", "assassinate 0.14 \n", "attempt_to_assassinate 0.21 \n", "ban_political_parties_or_politicians -0.04 \n", "bring_lawsuit_against 0.34 \n", "carry_out_suicide_bombing 0.17 \n", "coerce 0.32 \n", "complain_officially 0.36 \n", "conduct_hunger_strike 0.14 \n", "conduct_strike_or_boycott 0.07 \n", "conduct_suicide,_car,_or_other_non-military_bom... 0.11 \n", "confiscate_property 0.24 \n", "criticize_or_denounce 0.43 \n", "defy_norms,_law 0.31 \n", "demonstrate_military_or_police_power 0.40 \n", "demonstrate_or_rally 0.12 \n", "destroy_property 0.32 \n", "detonate_nuclear_weapons 0.03 \n", "employ_aerial_weapons 0.59 \n", "engage_in_mass_killings 0.16 \n", "expel_or_deport_individuals 0.40 \n", "expel_or_withdraw 0.01 \n", "expel_or_withdraw_peacekeepers 0.02 \n", "... ... \n", "obstruct_passage,_block -0.02 \n", "occupy_territory 0.25 \n", "physically_assault 0.52 \n", "protest_violently,_riot 0.35 \n", "rally_opposition_against 0.23 \n", "reduce_or_break_diplomatic_relations 0.30 \n", "reduce_or_stop_economic_assistance 0.43 \n", "reduce_or_stop_humanitarian_assistance 0.02 \n", "reduce_or_stop_military_assistance 0.14 \n", "reduce_relations 0.26 \n", "reject 0.42 \n", "reject_mediation 0.10 \n", "reject_proposal_to_meet,_discuss,_or_negotiate 0.37 \n", "seize_or_damage_property 0.20 \n", "sexually_assault 0.18 \n", "threaten 0.37 \n", "threaten_non-force 0.01 \n", "threaten_to_ban_political_parties_or_politicians 0.11 \n", "threaten_to_halt_negotiations -0.05 \n", "threaten_to_impose_state_of_emergency_or_martia... -0.02 \n", "threaten_to_reduce_or_break_relations -0.06 \n", "threaten_to_reduce_or_stop_aid 0.18 \n", "threaten_with_administrative_sanctions 0.43 \n", "torture 1.00 \n", "use_as_human_shield 0.11 \n", "use_conventional_military_force 0.65 \n", "use_tactics_of_violent_repression 0.07 \n", "use_unconventional_violence 0.48 \n", "veto 0.25 \n", "violate_ceasefire 0.46 \n", "\n", " use_as_human_shield \\\n", "abduct,_hijack,_or_take_hostage 0.28 \n", "accuse 0.29 \n", "accuse_of_aggression -0.02 \n", "accuse_of_crime,_corruption 0.21 \n", "accuse_of_espionage,_treason 0.07 \n", "accuse_of_human_rights_abuses 0.39 \n", "accuse_of_war_crimes 0.09 \n", "arrest,_detain,_or_charge_with_legal_action 0.07 \n", "assassinate 0.15 \n", "attempt_to_assassinate -0.03 \n", "ban_political_parties_or_politicians -0.05 \n", "bring_lawsuit_against 0.22 \n", "carry_out_suicide_bombing 0.01 \n", "coerce 0.05 \n", "complain_officially 0.14 \n", "conduct_hunger_strike 0.77 \n", "conduct_strike_or_boycott 0.01 \n", "conduct_suicide,_car,_or_other_non-military_bom... 0.13 \n", "confiscate_property 0.05 \n", "criticize_or_denounce 0.33 \n", "defy_norms,_law 0.05 \n", "demonstrate_military_or_police_power 0.00 \n", "demonstrate_or_rally 0.09 \n", "destroy_property 0.01 \n", "detonate_nuclear_weapons 0.06 \n", "employ_aerial_weapons 0.11 \n", "engage_in_mass_killings -0.03 \n", "expel_or_deport_individuals 0.21 \n", "expel_or_withdraw 0.10 \n", "expel_or_withdraw_peacekeepers -0.05 \n", "... ... \n", "obstruct_passage,_block -0.02 \n", "occupy_territory 0.29 \n", "physically_assault 0.10 \n", "protest_violently,_riot 0.55 \n", "rally_opposition_against 0.24 \n", "reduce_or_break_diplomatic_relations 0.17 \n", "reduce_or_stop_economic_assistance 0.09 \n", "reduce_or_stop_humanitarian_assistance 0.06 \n", "reduce_or_stop_military_assistance 0.02 \n", "reduce_relations 0.16 \n", "reject 0.31 \n", "reject_mediation -0.04 \n", "reject_proposal_to_meet,_discuss,_or_negotiate 0.22 \n", "seize_or_damage_property 0.02 \n", "sexually_assault 0.24 \n", "threaten 0.32 \n", "threaten_non-force -0.01 \n", "threaten_to_ban_political_parties_or_politicians -0.02 \n", "threaten_to_halt_negotiations 0.01 \n", "threaten_to_impose_state_of_emergency_or_martia... -0.02 \n", "threaten_to_reduce_or_break_relations -0.07 \n", "threaten_to_reduce_or_stop_aid 0.01 \n", "threaten_with_administrative_sanctions -0.02 \n", "torture 0.11 \n", "use_as_human_shield 1.00 \n", "use_conventional_military_force 0.33 \n", "use_tactics_of_violent_repression -0.08 \n", "use_unconventional_violence 0.43 \n", "veto -0.02 \n", "violate_ceasefire -0.02 \n", "\n", " use_conventional_military_force \\\n", "abduct,_hijack,_or_take_hostage 0.71 \n", "accuse 0.79 \n", "accuse_of_aggression 0.34 \n", "accuse_of_crime,_corruption 0.24 \n", "accuse_of_espionage,_treason 0.03 \n", "accuse_of_human_rights_abuses 0.40 \n", "accuse_of_war_crimes 0.38 \n", "arrest,_detain,_or_charge_with_legal_action 0.34 \n", "assassinate 0.43 \n", "attempt_to_assassinate 0.17 \n", "ban_political_parties_or_politicians 0.05 \n", "bring_lawsuit_against 0.52 \n", "carry_out_suicide_bombing 0.29 \n", "coerce 0.43 \n", "complain_officially 0.32 \n", "conduct_hunger_strike 0.30 \n", "conduct_strike_or_boycott 0.19 \n", "conduct_suicide,_car,_or_other_non-military_bom... 0.33 \n", "confiscate_property 0.32 \n", "criticize_or_denounce 0.77 \n", "defy_norms,_law 0.34 \n", "demonstrate_military_or_police_power 0.42 \n", "demonstrate_or_rally 0.31 \n", "destroy_property 0.46 \n", "detonate_nuclear_weapons 0.19 \n", "employ_aerial_weapons 0.81 \n", "engage_in_mass_killings 0.22 \n", "expel_or_deport_individuals 0.53 \n", "expel_or_withdraw -0.08 \n", "expel_or_withdraw_peacekeepers 0.03 \n", "... ... \n", "obstruct_passage,_block 0.00 \n", "occupy_territory 0.66 \n", "physically_assault 0.31 \n", "protest_violently,_riot 0.45 \n", "rally_opposition_against 0.51 \n", "reduce_or_break_diplomatic_relations 0.40 \n", "reduce_or_stop_economic_assistance 0.67 \n", "reduce_or_stop_humanitarian_assistance 0.22 \n", "reduce_or_stop_military_assistance 0.37 \n", "reduce_relations 0.52 \n", "reject 0.80 \n", "reject_mediation 0.09 \n", "reject_proposal_to_meet,_discuss,_or_negotiate 0.55 \n", "seize_or_damage_property 0.32 \n", "sexually_assault 0.34 \n", "threaten 0.72 \n", "threaten_non-force 0.03 \n", "threaten_to_ban_political_parties_or_politicians 0.10 \n", "threaten_to_halt_negotiations 0.09 \n", "threaten_to_impose_state_of_emergency_or_martia... 0.02 \n", "threaten_to_reduce_or_break_relations 0.13 \n", "threaten_to_reduce_or_stop_aid 0.43 \n", "threaten_with_administrative_sanctions 0.34 \n", "torture 0.65 \n", "use_as_human_shield 0.33 \n", "use_conventional_military_force 1.00 \n", "use_tactics_of_violent_repression -0.06 \n", "use_unconventional_violence 0.82 \n", "veto 0.16 \n", "violate_ceasefire 0.45 \n", "\n", " use_tactics_of_violent_repression \\\n", "abduct,_hijack,_or_take_hostage -0.06 \n", "accuse -0.10 \n", "accuse_of_aggression -0.17 \n", "accuse_of_crime,_corruption -0.00 \n", "accuse_of_espionage,_treason 0.17 \n", "accuse_of_human_rights_abuses -0.12 \n", "accuse_of_war_crimes -0.15 \n", "arrest,_detain,_or_charge_with_legal_action 0.45 \n", "assassinate -0.15 \n", "attempt_to_assassinate 0.01 \n", "ban_political_parties_or_politicians -0.04 \n", "bring_lawsuit_against -0.20 \n", "carry_out_suicide_bombing -0.10 \n", "coerce 0.31 \n", "complain_officially 0.04 \n", "conduct_hunger_strike -0.07 \n", "conduct_strike_or_boycott -0.18 \n", "conduct_suicide,_car,_or_other_non-military_bom... -0.17 \n", "confiscate_property 0.41 \n", "criticize_or_denounce -0.17 \n", "defy_norms,_law -0.07 \n", "demonstrate_military_or_police_power -0.09 \n", "demonstrate_or_rally -0.07 \n", "destroy_property 0.08 \n", "detonate_nuclear_weapons -0.15 \n", "employ_aerial_weapons -0.14 \n", "engage_in_mass_killings -0.16 \n", "expel_or_deport_individuals -0.01 \n", "expel_or_withdraw 0.35 \n", "expel_or_withdraw_peacekeepers 0.00 \n", "... ... \n", "obstruct_passage,_block -0.02 \n", "occupy_territory 0.01 \n", "physically_assault 0.52 \n", "protest_violently,_riot -0.05 \n", "rally_opposition_against -0.24 \n", "reduce_or_break_diplomatic_relations -0.18 \n", "reduce_or_stop_economic_assistance -0.30 \n", "reduce_or_stop_humanitarian_assistance -0.06 \n", "reduce_or_stop_military_assistance -0.22 \n", "reduce_relations 0.12 \n", "reject -0.11 \n", "reject_mediation -0.11 \n", "reject_proposal_to_meet,_discuss,_or_negotiate -0.27 \n", "seize_or_damage_property 0.30 \n", "sexually_assault -0.16 \n", "threaten -0.21 \n", "threaten_non-force 0.06 \n", "threaten_to_ban_political_parties_or_politicians -0.09 \n", "threaten_to_halt_negotiations -0.11 \n", "threaten_to_impose_state_of_emergency_or_martia... 0.02 \n", "threaten_to_reduce_or_break_relations -0.03 \n", "threaten_to_reduce_or_stop_aid -0.26 \n", "threaten_with_administrative_sanctions 0.15 \n", "torture 0.07 \n", "use_as_human_shield -0.08 \n", "use_conventional_military_force -0.06 \n", "use_tactics_of_violent_repression 1.00 \n", "use_unconventional_violence -0.02 \n", "veto -0.13 \n", "violate_ceasefire 0.04 \n", "\n", " use_unconventional_violence \\\n", "abduct,_hijack,_or_take_hostage 0.53 \n", "accuse 0.70 \n", "accuse_of_aggression 0.16 \n", "accuse_of_crime,_corruption 0.21 \n", "accuse_of_espionage,_treason 0.00 \n", "accuse_of_human_rights_abuses 0.36 \n", "accuse_of_war_crimes 0.19 \n", "arrest,_detain,_or_charge_with_legal_action 0.22 \n", "assassinate 0.18 \n", "attempt_to_assassinate 0.15 \n", "ban_political_parties_or_politicians 0.00 \n", "bring_lawsuit_against 0.41 \n", "carry_out_suicide_bombing 0.42 \n", "coerce 0.30 \n", "complain_officially 0.19 \n", "conduct_hunger_strike 0.39 \n", "conduct_strike_or_boycott 0.11 \n", "conduct_suicide,_car,_or_other_non-military_bom... 0.35 \n", "confiscate_property 0.39 \n", "criticize_or_denounce 0.61 \n", "defy_norms,_law 0.25 \n", "demonstrate_military_or_police_power 0.25 \n", "demonstrate_or_rally 0.44 \n", "destroy_property 0.36 \n", "detonate_nuclear_weapons 0.09 \n", "employ_aerial_weapons 0.62 \n", "engage_in_mass_killings 0.14 \n", "expel_or_deport_individuals 0.60 \n", "expel_or_withdraw -0.01 \n", "expel_or_withdraw_peacekeepers 0.05 \n", "... ... \n", "obstruct_passage,_block 0.34 \n", "occupy_territory 0.81 \n", "physically_assault 0.29 \n", "protest_violently,_riot 0.55 \n", "rally_opposition_against 0.41 \n", "reduce_or_break_diplomatic_relations 0.31 \n", "reduce_or_stop_economic_assistance 0.45 \n", "reduce_or_stop_humanitarian_assistance 0.04 \n", "reduce_or_stop_military_assistance 0.33 \n", "reduce_relations 0.45 \n", "reject 0.70 \n", "reject_mediation 0.02 \n", "reject_proposal_to_meet,_discuss,_or_negotiate 0.38 \n", "seize_or_damage_property 0.14 \n", "sexually_assault 0.21 \n", "threaten 0.65 \n", "threaten_non-force -0.02 \n", "threaten_to_ban_political_parties_or_politicians 0.04 \n", "threaten_to_halt_negotiations 0.12 \n", "threaten_to_impose_state_of_emergency_or_martia... -0.03 \n", "threaten_to_reduce_or_break_relations -0.01 \n", "threaten_to_reduce_or_stop_aid 0.29 \n", "threaten_with_administrative_sanctions 0.13 \n", "torture 0.48 \n", "use_as_human_shield 0.43 \n", "use_conventional_military_force 0.82 \n", "use_tactics_of_violent_repression -0.02 \n", "use_unconventional_violence 1.00 \n", "veto 0.05 \n", "violate_ceasefire 0.35 \n", "\n", " veto violate_ceasefire \n", "abduct,_hijack,_or_take_hostage 0.23 0.44 \n", "accuse 0.29 0.12 \n", "accuse_of_aggression -0.01 0.09 \n", "accuse_of_crime,_corruption -0.11 0.02 \n", "accuse_of_espionage,_treason 0.27 -0.07 \n", "accuse_of_human_rights_abuses 0.13 0.03 \n", "accuse_of_war_crimes 0.25 0.04 \n", "arrest,_detain,_or_charge_with_legal_action 0.12 0.02 \n", "assassinate 0.23 -0.02 \n", "attempt_to_assassinate -0.03 -0.03 \n", "ban_political_parties_or_politicians -0.05 0.08 \n", "bring_lawsuit_against 0.06 0.18 \n", "carry_out_suicide_bombing -0.04 0.09 \n", "coerce 0.11 0.13 \n", "complain_officially 0.47 0.09 \n", "conduct_hunger_strike -0.02 -0.01 \n", "conduct_strike_or_boycott 0.02 -0.01 \n", "conduct_suicide,_car,_or_other_non-military_bom... 0.47 -0.08 \n", "confiscate_property 0.11 0.11 \n", "criticize_or_denounce 0.24 0.15 \n", "defy_norms,_law 0.16 -0.01 \n", "demonstrate_military_or_police_power 0.70 0.02 \n", "demonstrate_or_rally 0.02 0.05 \n", "destroy_property 0.07 0.36 \n", "detonate_nuclear_weapons -0.03 -0.02 \n", "employ_aerial_weapons 0.16 0.46 \n", "engage_in_mass_killings 0.21 0.06 \n", "expel_or_deport_individuals 0.10 0.16 \n", "expel_or_withdraw -0.06 -0.05 \n", "expel_or_withdraw_peacekeepers 0.00 0.05 \n", "... ... ... \n", "obstruct_passage,_block -0.02 -0.02 \n", "occupy_territory -0.01 0.17 \n", "physically_assault 0.16 0.19 \n", "protest_violently,_riot 0.11 0.17 \n", "rally_opposition_against 0.06 -0.04 \n", "reduce_or_break_diplomatic_relations 0.14 -0.02 \n", "reduce_or_stop_economic_assistance 0.13 0.32 \n", "reduce_or_stop_humanitarian_assistance 0.04 -0.06 \n", "reduce_or_stop_military_assistance 0.11 0.03 \n", "reduce_relations 0.04 0.09 \n", "reject 0.21 0.18 \n", "reject_mediation 0.05 -0.04 \n", "reject_proposal_to_meet,_discuss,_or_negotiate 0.26 0.03 \n", "seize_or_damage_property 0.03 0.26 \n", "sexually_assault 0.04 -0.00 \n", "threaten 0.21 0.09 \n", "threaten_non-force -0.06 -0.05 \n", "threaten_to_ban_political_parties_or_politicians 0.35 -0.02 \n", "threaten_to_halt_negotiations -0.03 -0.02 \n", "threaten_to_impose_state_of_emergency_or_martia... -0.03 -0.02 \n", "threaten_to_reduce_or_break_relations -0.04 -0.09 \n", "threaten_to_reduce_or_stop_aid 0.14 0.02 \n", "threaten_with_administrative_sanctions 0.51 0.14 \n", "torture 0.25 0.46 \n", "use_as_human_shield -0.02 -0.02 \n", "use_conventional_military_force 0.16 0.45 \n", "use_tactics_of_violent_repression -0.13 0.04 \n", "use_unconventional_violence 0.05 0.35 \n", "veto 1.00 -0.02 \n", "violate_ceasefire -0.02 1.00 \n", "\n", "[73 rows x 73 columns]" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "corr = D_sub.corr()\n", "corr.round(2)" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAABEYAAARjCAYAAABi2SGQAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAIABJREFUeJzs3Xe4VNXZ9/Hv7xzKoUgVC4qCiKKCIkVEkaBi7y12RYyIMRpfX9ujxpLYEn0tMSYGjRJjiYpYY31URFGQXgQ7xI4gCNIO7X7/WGtgO8w5a4CjHOD+XNdczOx9r73X3rOZOfueVWRmOOecc84555xzzm2IStZ2BZxzzjnnnHPOOefWFk+MOOecc84555xzboPliRHnnHPOOeecc85tsDwx4pxzzjnnnHPOuQ2WJ0acc84555xzzjm3wfLEiHPOOeecc8455zZYnhhxzjnnnHPOOefcz0bSfZK+lTSxgvWS9GdJH0saL6ljZt3pkj6Kj9Oroj6eGHEFSZpbREzLii7kIsr2lLTHKsRfI+miCta9Hf9tLmngatZnsKTOq1N2dUnqLal5EXFrXDdJUyVtvIbbaCnppDXZhnPOOeecc84BA4ADK1l/ENAmPvoCfwOQ1AS4GugK7AZcLanxmlbGEyNubekJFJ0YqYyZ7RH//crMjq2KbVYlSaUVrOoNJBMj1UhLwBMjzjnnnHPOuTViZkOAmZWEHAE8YMEwoJGkzYEDgFfMbKaZzQJeofIES1FqrOkG3LpP0lNAC6AMuMPM+sfltwH7A98AJ5jZdEmdgPti0Zcz2+gNdDaz38TXzwG3mNlgSQcCNwClwAzgTKAfsFTSKcB5ZvZmEVXdUdJgYCvgdjP7c9zXXDOrL6kl8JyZtYvP/wXUi2V/Y2a5liWXAqcAy4AXzOyyzHGUxOP7wsyuLOLc7QvcQvi/NAI4x8zKJU0FHgX2A/4E/Duv3LFAZ+AhSQuAbsDFwGFAHeBt4Gwzs4rqJml/4FqgNvAJcIaZVdbS5zxJhwE1gePM7P2Ycb0P2AaYD/Q1s/GSfgHcEcsZ0AO4CdhB0ljgn8CTFDjHsZ5/AfYBPgcWA/eZ2cB4/dwK1CdcC73N7OsC57UvITPMb0o26XRgSaNKDgv2faBPpesBnm11cTKm4yZTkzHTFzVNxgDs/N3/JmPGNdkvGdOo1g/JmLlL6iVjNiv5Khnz/vzWyRiA7jPTDbM+26pHMmbz2e8nY75r2CoZs5hayZipczdLxgCUyJIxC5dUlOtcodfX9yZjpm+XPkcbzfs2GQMwprRrMqZdyfhkzMOf7paMObvmP5IxQ7c4JRnTZdEbyRiAOz7cNxmzUb30e9Kx9fxkzLD36yRjdtu+PBnTtkb62gZoOPKFZMyX3U5MxjT/ckQy5uPNeyZjmtq0ZMxzU9snYwB22GJeMqbzjGeTMU/XOD4Z8/FnS5Mx++yyMBnThuLetxpLFiRj5pelf7xsMv2D9HYapn8/eXHW7skYgM0bpa/dnWpOTsY0em9wMuaZ5r9NxhxW/mgyZtQmhydjABrUTF9v28wcnoy56/NDkjGdt1+UjHlpaPq7ZJNNaidjAMoXpbe1V/v09d2oVvocbfFI8k9fPjvxhmRM62evS8YAXFf3xmTMNTs8nYwZ3eywZMyOS0YXVacmO++logLXsv/U3D59YaxFhy758Gzi3/JR/9w95irYgnAvkfNFXFbR8jXiLUYcQB8z60S4UT9fUlPCze5IM9sJeIPQXAngfkIiY5diNiypGXAPcEwsc5yZTQXuBm4zsw5FJkUA2hIyhLkmUzUrif0W2M/MOgLHA7kkykGE7GPXWJ8/ZcrUAB4CPioyKVJGaAJ2vJm1j+XPyYR8Z2Ydzezf+WXNbCAwEjg5noMFwF/MrIuZtSMkRw6tqG6xW8yVQK94jCOBCxNVnhFj/wbkuiVdC4wxs52By4EH4vKLgHPNrAOwF7AAuAx4M9b3Nio4x8DRhNYlOwKnEpI+xPfrTuDYeL3dB1xfqKJm1t/MOptZ51RSxLkNXTFJEeecc865n0v2b/n4WNWkyM/OEyMOQjJkHDCM0HKkDaE1RS6V/yDQXVIjoFFs9gShtUDK7sAQM5sCYGaVNZdK+Y+ZlZvZDMJN+aaVxNYE7pE0AXiccJMO0Au438zmF6jP34GJZlbwZr2A7YEpZvZhfP1PQsuKnPRPIT+2t6Thsc77ADtVUrfdCcc0NLbgOB3YOrH9QfHfUYTEBUB34vtoZq8BTSU1AIYCt0o6n/CeLymwvYrOcXfgcTNbZmbfAK/H5dsD7YBXYp2vBLZM1Nk555xzzjm34fmScG+as2VcVtHyNeKJkQ2cpJ6EZEG32IJiDKFLTb5Uc60l/Ph6KrSNNZVtA7qUyruC/R9gGrALoSVMuq196L6yd2wJUhXSbRajuM+/ElpTtCe0ssnWI79uIvSt6xAfO5rZmYnd5M5f6txhZjcBvyK0XBkqqW2BsFU9xwLey9S5vZntnyjjnHPOOeec2/A8A5wWZ6fZHZgdu+C/BOwvqXEcdHX/uGyNeGLENQRmmdn8ePOb66haAuQGMj0JeMvMvge+l9Q9Lj85s52pQAdJJZJaELq7QGiF0kNSK1g+ijDAD8BGucKSjpKU7mi4asf1tZktI3TnyHVAfwU4Q1LdvPoA/AN4HnhMUo24/gFJFXW6/wBoKWnb+PpUQrejYmXPQS7hMUNSfVac+4rqNgzYM7dvSfUkbbcK+855k/g+xiTZDDObI6m1mU0wsz8Sxk5pm1dfqPgcDwWOidfCpoSBdiGcr2aSlnetkZRtFeOcc84555xLUE1V60dRxyA9ArwDbC/pC0lnSuonqV8MeR74FPiY8KPxr2F5i/8/EO5RRgC/X8NeCYAPvurgRaCfpMmEG9dhcfk8YDdJVxK6reRGPzsDuE+SkRl8lXAzPAWYBEwGRgPEAVv7AoPioJzfEgYkfRYYKOkI4DygNTCnCo4n17Llr8ATkk6Lxzgv1udFSR2AkZIWEf7DXb68sNmtkhoC/5J0MrAzUHDUSjNbKOkM4PGYrBhBGDulWAOAuzODr94DTCQMdrvSSHrZuhGSGb2BRyTlRu+6Evgwv1zCNYT3czxh8NXcPOAXSNqb0KXqPeCF+Hxp7HY1gArOMfAEsC/hWviccC3MNrNFcdDZP8fjqAHcHrfvnHPOOeec20CYWaWji8dJKM6tYN19rJgQpEp4YmQDZ2blhDmi89WvIH4UoetEziVxufHjFiTZMi8Qbqyzyz4kJB0AkHQ2oWtGRfW8Ju91u8zzXF2bEqd8MrOPstsHLs3E30SYYSW7vZ6Z51fHOjUgDHb6RSX1ehXYtcDylhWVycQ8QUgi5FwZH/lxK9Uteg3oktpPfn3MbCSxFUfMrh5ZIP68Cja1T97rlc6xmS2TdJGZzY0D+b4LTIjrxvLjcVicc84555xzbq3yxIirFswsPbdjJSR1Bh4mzJxSJcxsDnBcVW1vA/NcHKy3FvCHOAirc84555xzbg2V1FgnZhVep3hixFUrsWvKb/MWDzWzgs2ocmIriNUZY6PYej0JtMpbfKmZJQf6kXQXsGfe4jvM7P6qql9mX6tdz6qUbeXinHPOOeecc9WZJ0ZctRKTBVWeMFhTZnbUGpStNKlTldakns4555xzzjm3IfJZaZzbwEl6StIoSe/FgXKRdKCk0ZLGSXo1Lqsv6X5JEySNl3RMXD43s61jJQ2Iz4+TNDFuY0hcVirpZkkj4jbO/tkP2DnnnHPOuXWYapZU68e6yFuMOOf6mNlMSXWAEZKeJsyQ08PMpmSmNP4dYXaZ9gBx3vDKXAUcYGZfxvFGAM6M2+gSZ9MZKullM5tS0Ub2faBP8gBePS09KPVuk1caY3Yl0xZtloyZOb9uMgZgcZ2GyZj2c9KzO89r0DwZ09QsGTO/tEF6X4uK+0rQooXJmGVF5N0X1So4xvOP1Fi2KBlTXlKWjGler7hZ3Lb+fmwy5ovG7ZMxH1z+cDJm+wtrJ2OYm56sqxvj+HqXQ5Jxnyxum4w5ZvsiJol6vzwZ0qRsbjKm1tcFJ/xaycIFS9P7a5S+dnf7ZEAyZlL9dAO/Teukr6W6s2ckYwDmduyVjKm1LP3/TV98kowp33T/ZExJ/xuTMRyQvrYBPp5WLxnT4sH0trb4v4clY2bOSe+r09eDkjFjmqe/JwC2KvtvMqbuY3cmY0q6dkvG1J//QTJmx62L60m83cyhyZjSBT8kYyb99YlkzEa3/CYZ88MzLyRjlp5yRDIGYMsF6fP02U23J2M2OT99vS1blh7boUuHWsmYjz9Lf3cDHNxpVjJm21nDkzHv18jv1b2y0sNPSsaIdL3nffltMgZg/hbp7/il40clYxocmD83wMpenNm9qDqlz4BbX62b6RznXFU6P07BOwxoAfQFhuSSFZl5wXsBd+UKmVnqm3ooMEDSWUBpXLY/cJqkscBwwkxCbfILSuoraaSkkf94Nf1l79yGrJikiHPOOeecq5i3GHFuAyapJyHh0c3M5ksaDIwF0j8tr5D96WD5T/dm1k9SV+AQYJSkToCA81KDwZpZf6A/wMJH/ljcTyrOOeecc845txq8xYhzG7aGwKyYFGkL7E5IbvSQ1Aog05XmFWB5O/NMV5ppknaQVAIclVnf2syGm9lVwHRCa5SXgHMk1Ywx20lKt4F2zjnnnHPOAWG63ur8WBd5YsS5DduLQA1Jk4GbCN1pphO60wyKXWwejbHXAY1zA6oCe8fllwHPAW8DX2e2fXMcqHViXDcOuBeYBIyOy/+Ot1xzzjnnnHPOrUV+Q+LcBszMyoGDKlj9Ql7sXOD0AtsYCAwssPzoQrsELo8P55xzzjnnnFvrPDHinHPOOeecc86tI1Rz3eyuUp15VxrnnHPOOeecc85tsDwx4pxzzjnnnHPOuQ2Wd6VxrpqQdDNwMPC8mV28tuuzqiQ9D5xkZt+v7bo455xzzjm3vlpXZ36pzjwx4lz10RdoYmZLf86dSqphZkvWdDtmdnBV1Mc555xzzjnnfk4ys7VdB+eqnKSngBZAGXCHmfWXdCBwA1AKzDCzfSXVB+4EOhNmTLnWzJ6QNNfM6sdtHQscama9JR0HXA0sBWabWQ9JpYSpbnsCtYG7zOzvFdRLwJ8IM8EYcJ2ZPSrpGeAQYAJwo5k9WqDsYcCVQC3gO+BkM5smqRnwMNAceAfYD+hkZjMk/Q44hTAF7+fAKDO7RdJgYCzQHXgEeAC4G9gq7u4CMxsq6RfAHXGZAT2A+oQpfBsQkqvnmNmbkqYCneN+LwT6xHL3mtntkloSZrp5C9gD+BI4wswWFDpXOY8PW5b8kNpt449SIUzc4fBkzPM3Dk/GtNmuYTIGYOasxcmYs4afmIy5b49/J2Pab1eajHl33KJkTI2axfWu7Nkx/b2xTb0vkjHPTtomGbOkiDTh3LnpvN722xT3O0CbjWclYwa9VS8Zc/GuQ5Mxo2rskYyZs6BmMgZgybL0L0ffzU6/v91bf5OMKVX6TXlhYvNkTK3iDo3335+TjKlXv1Yypv0OZcmYkiJ+gJv65bJkTIONivu/tM1m6Wt30dL0tto1+SwZ0/+VzZIxR/dMf0789aH5yRiANjs2S8acuNvnyZj730hfS7Vrpz8Dd9w2fR6HjV6YjAHo3rl2MmavOunvk/98l/4MOLjpO8mYr2q3TsYAvD9j42TMwkXp87TblunP928WNE3GdFicPrZn5uyTjAFI/6UAu7dI1/uuZxskYxo2Sn+WdNwx/Z0zckL67wSAbh3S13dZjfTn8uffpa/bZg3Tn0lj3k+GcOLuX6aDgKv+nv7QPf64LZIx732S3tcWm6XPI0DvnqwTTTFea7lztb6J32fq+HXiPGZ5ixG3vupjZjMl1QFGSHoauAfoYWZTJDWJcb8jJDjaA0hqnNjuVcABZvalpEZx2ZlxG10k1QaGSnrZzKYUKH800AHYBdg41m2ImR0ekzEdKtn3W8DuZmaSfgVcAvxfQqLmNTO7MSZ/zozH0gU4Ju6rJjAaGJXZXi0z6xxjHwZuM7O3JG0FvATsAFwEnBuTJPWBhYSWLS+Z2fUxKVQ3W0lJnYAzgK6AgOGS3gBmAW2AE83sLEmPxfo9mH+gkvrG/dD30r/R68i+lZwW5zZsxSRFnHPOObf+8Flpqp4nRtz66nxJR8XnLQg32UNyyQozmxnX9QJOyBUys9TPxUOBAfGmflBctj+wc2xZAtCQkAAolBjpDjwSu8tMiwmDLsAzRRzTlsCjkjYntBrJbb87cFSs/4uScsewJ/C0mS0EFkp6Nm972VYpvYAdQ4MWABrERMhQ4FZJDwGDzOwLSSOA+yTVBJ4ys7EFjvFJM5sHIGkQsFc8ximZ+FFAy0IHamb9gf5QXIsR55xzzjnnnFtdPiuNW+9I6km40e9mZrsAYwjdRlZF9mZ8eZtJM+tH6M7SAhglqSmhVcR5ZtYhPlqZ2ctrcgwVuBP4S2zdcna2XqtpXuZ5CaE1Su4YtjCzuWZ2E/AroA6hJUxbMxtC6FLzJSFJdNoq7LM883wpnpx1zjnnnHPOrWWeGHHro4bALDObL6ktsDshidBDUiuATFeaV4BzcwUzXWmmSdpBUgmxNUZc39rMhpvZVYRxO1oQup2cE1tQIGk7SRUNQvAmcLyk0jg2SA/g3VU4rlynzdMzy4cCv4z73h9onFl+mKSy2Prj0Eq2/TJwXuY4O2SOd4KZ/REYAbSVtDUwzczuAe4FOhY4xiMl1Y3n4ai4zDnnnHPOObeGSmqoWj/WRZ4YceujF4EakiYTBkUdRkhi9AUGSRrHim4k1wGNJU2My/eOyy8DngPeBr7ObPtmSRMkTYzrxhGSA5OA0XH536m4JcSTwPhY7jXgEjNLj3YYXAM8LmkUMCOz/Fpg/7jv44BvgB/MbASh+8p4wqCnE4DZFWz7fKCzpPGSJgH94vIL4rkZDyyO2+kJjJM0BjieFYOzAmBmo4EBhITPcMLgq2OKPEbnnHPOOeec+1l5M3a33jGzcsKsL4W8kBc7lx+3vsgtHwgMLLD86EK7BC6Pj1TdDLg4PvLX1U+UfRp4usCq2YQBYZdI6gZ0iecA4BYzu0ZSXWAIcfBVM+uZt+0ZhCRH/j7Py18G/DM+8mNbZp7fCtyat34q0C7z+pYC23bOOeecc865n5UnRpxb920FPBa7/SwCzsqs6y9pR0JXon/G1hzOOeecc8455yJPjDj3E5DUHvhX3uJyM+taRNkrCF1ish43s+sLxZvZR8CuFaw7qYjqOuecc84559YRKl03x/Gozjwx4txPwMwmAB1Ws+z1QMEkiHPOOeecc865quWDrzoHSLpZ0nuSbl7D7TwvqVFV1as6k3RBHLsk93qDOXbnnHPOOefc+kNhLEjnNmySZgNNzGzpapYX4f/TsqqtWdWTVMPMllT0ehW2MxXoHAdu/cl88umnyQ+p7xY1TW7nn8+lP+sO/p9kTyfG/mtSMgZARbRw/H7WomTMub0+S8a8PW27ZEzHzb5IxjR/7vZkDMDifY5Kxtz74R7JmCM7pOv09udbJWPqlRX33+6b79Jvypwf0ttaVsT35k6t0787vDsu/f43a1Y7GQNQv2762PZr/Uky5tlJ2yRjFpanj7+Y63+7rYr7++OZ579LxtQqq5mMueaIqcmYm15pk4wp5tj6HTQrHQQMmdIiGXNSvaeSMTdMrmi88RV+s8fkZMwLX6UbOrbf4vtkDMD709J58nkL0ts5qPUHyZhnPkh/BhbzfwSgcf30nwGbbTQ3GTPus4bJmHkL0v8HFi5MfybNmbM4GQNQo2b6c6nPXp8nY+ZbvWTMSxM3TcaUl6ePbcvNSpMxANNnpc/lpuk/Fdhm4/R7u8zS5/HRl9PX0akHFvcZ+Or4SsfmB6BunXSdFi9O72+TpuntbNFkYTKmTo3irsnB4+smY7rumN7WwBfTdWrdukFRdbro6JJ1oo/KW7t0rNY38d3HjV4nzmOWtxhxVU7SU5JGxRYYfeOyAyWNljRO0qtxWX1J98fpb8dLOiYun5vZ1rGSBsTnx+Wm1ZU0JC4rja09RsRtnF1JvRRjJ8Z9Hh+XPwPUB0bllhUou6mkJ+O+x0naQ1JLSR9IegCYCLSQNFXSxnHd+5IGSPpQ0kOSekkaKukjSbvF7daTdJ+kdyWNkXTEKpznS+NxjJN0U1zWQdKweC6elNQ4Lh8s6XZJI4HfxnrdLWk48CdJ10i6KLPtifEYcsfxkKTJkgZKqivpfKA58Lqk12OZqZI2js8vjNuYKOmCuKxl3MY98dp4WVKdCo6tr6SRkkb++5FHij0lzlWomKTIuqrYGz7nXOWKSYo455xbP/kYI+6n0MfMZsab3hGSngbuAXqY2RRJTWLc74DZZtYeIHcTX4mrCNPSfpnpsnFm3EYXSbWBoZJeNrMpBcofTRj3Yxdg41i3IWZ2uKS5ZlbZT2V/Bt4ws6MklRISKY2BNsDpZjYsHkO2zLaEQVT7ACOAk4DuwOGEqX2PBK4AXjOzPvGY3pX0v2Y2r7ITIekg4Aigq5nNz5zTB4DzzOwNSb8HrgYuiOtqmVnnWH4AsCWwh5ktlXRNJbvbHjjTzIZKug/4tZndIulCYO/8FiOSOgFnAF0BAcMlvQHMiufrRDM7S9JjwDHAg/k7NLP+QH8orsWIc84555xzzq0ubzHifgrnSxoHDANaAH2BIblkhZnNjHG9gLtyhcws1fZ4KDBA0llArm3l/sBpksYCw4GmhJvvQroDj5jZUjObBrwBdCnymPYB/hbrudTMZsfl/80lRQqYYmYTYvea94BXLfRdmwC0zNT/slj/wYRpddN9B8K5u9/M5sc6zZTUEGhkZm/EmH8CPTJlHs3bxuNFdh363MyGxucPEs5jZboDT5rZPDObCwwC9orrppjZ2Ph8FCvOg3POOeecc64IKlG1fqyLvMWIq1KSehJu2rvFlgyDgbFA21XYTLaFQNnyhWb9JHUFDiF0e+lEaJFwnpm9tKZ1X02Vtewozzxflnm9jBX/9wQcY2bpTtRrLr+u2ddL+HGitCzzPL/Fxpq04Miek6VAwa40zjnnnHPOOfdz8RYjrqo1BGbFpEhbYHfCTXYPSa0AMt0+XgHOzRXMdKWZJmkHSSXAUZn1rc1suJldBUwntEZ5CThHUs0Ys52kikYFexM4Po5L0ozQmuLdIo/rVeCcuI/S2DqjKrwEnKfYB0fSrvHfLRTHYqnAK8AZirPCSGoSW7HMkpRrnXEqoVVMMaYCHeO2OgKtMuu2ktQtPj8JeCs+/wHYqMC23gSOjGOR1CO8h28WWQ/nnHPOOeec+1l5ixFX1V4E+kmaDHxA6E4zndCdZlBMdnwL7AdcB9wlaSKh9cC1hG4XlwHPxXIjCeN5ANwsqQ2hlcWrwDhgPKE7xuiYXJhOGLujkCeBbrGcAZeY2TdFHtdvgf6Szox1PQf4usiylfkDcDswPp6bKcChwOaEVhwFmdmLkjoAIyUtAp4njFtyOnB3TJh8ShjroxhPELokvUfokvRhZt0HwLlxfJFJxC5FhDFAXpT0lZntnanb6DiGSS7pdK+ZjZHUssi6OOecc8455yqgUm/fUNU8MeKqlJmVAxXNG/hCXuxcwo18/jYGAgMLLD+60C4JCYHLi6ibARfHR/66SudCi2OSFJoxpl1eXMv4dEZ2nZn1zjyfmltnZguAQjPp7E5m/JUK6nQTcFPesrGxbH5sz7zXvfNeLyCMd/IjMZmxxMxOKbDNO4E7M69bZp7fCtyaFz+VH5+TW1Y6KOecc84555z7mXlixLlqyMz+srbr4JxzzjnnnHMbAk+MuPWOpPbAv/IWl5tZ1yLKXkGYYjfrcTO7vqrqtyrW5FiqQn4rD+ecc84559zaVVK6bs78Up15YsStd8xsAtAh91rSzcDBkm42s5W60eSVvR5YrSSIpOeBk8zs+9UpX0F9fnQsVUHS5WZ2Q1Vu0znnnHPOOefWVZ4YcRuCvkATM1v6U+7EzA7+KbdfhS4HVkqMxMFrZWbLfv4qOeecc84559zaoTAepXPFkfQUYZrcMuAOM+sv6UDCjXYpMMPM9pVUnzAwZ2fCAKnXmtkTkubmBjqVdCxwqJn1lnQccDVhxpfZZtZDUilhcNGeQG3gLjP7ewX1EvAnwsCvBlxnZo9KegY4BJgA3GhmjxYo2wy4G9gqLrrAzIZK+gVwR1xmhOl9OwG/J0xVuy3wOvBrM1smaSrQ2cxmSLoQ6BPL3mtmt8eBTF8gTHe7B/AlcISZLZB0FiGBUwv4GDg1TnncGngIqAc8HeuWO38XA7+M5+ZJM7u68Lv2o2O9iTD47ATgPeAKwpTBw+OxHQxsT5ghqDbwCXCGmc2VdBVwGFAHeBs428xM0vlAP8IsOpPM7IQ4JfN9wDbAfKCvmY2XdE08z9vEf283sz8XqGffeD649NrbOx35y96VHtfM+XVTh86HX6TzwPPmp3NCHU7dMRkDUDpiQjLGLN0Mclh6M7RsUTMZ8/lXFU5ylKlP1X0fbLF5uk7TpqdzlbvvtDgZM+7T2smYRhsV1+R03oL0OWizRbpOi5aUJmNqlKSvt2b15iVjAF4eU2jm7B+bPn1BMqZ58/T/pZIiTmWjhunR8munLxEAtmycrvc3c8qSMcNHp8+lLUu//6cftCgZM7s8fR4BhoxLfy7VrJk+lwd3nJmMeWlc0yL2lX5zZ85KX/8ApUVcKDtsmz7+yR+nP7sWLkzH1KiRPo8n9CiuwefIzzdNxpTVSl9L2248Oxnz7qeNkjE7tUj/HwFYsDh9vov5rtykSXpfYyYsTMYcsGf6GnlrXPqzFGBZET/pdC2iY/AbI9PX0vbb1knGfP5V+v/J4iXFfee23rpWMqZmjfS2GtZNf+fWrZU+/o+/Tn/eFvNdCtBmy3SdJn6Svk7222VOMuaRV9PnEeD//breOtFHZXi3rtX6Jr7rO8PXifOY5fP8uFXVx8w6ERIe50vaFLgHOMbMdmHF+By/IyQ42pvZzsBrie1eBRwQt3F4XHZm3EYXoAtwlqRWFZQ/mtDlZBegF2Fq383N7HBggZl1KJQUie4Abov7OQa4Ny6/CDjXzDoAewF8PLCsAAAgAElEQVS5vzx2A84DdgRax30vJ6kTYZrcroQZYs6StGtc3YaQ4NkJ+D7uD2CQmXWJxz85HnuubneYWXvgi8w+9o/b2i0edydJPSo4vuXM7LLM+Tg5U6e/xjrNA64EeplZR8J0yRfGuL/EOrYjJEcOjcsvA3aN73O/uOxaYExcdjnwQKYabYEDYt2vlrTS7ZGZ9TezzmbWOZUUcW5DV0xSxDnnnHPOVcwTI25VnS9pHDCM0HKkLzDEzKYAmFnuZ6teZKabNbNZie0OBQbElhO5nwf2B06TNJbQoqEp4Sa+kO7AI2a2NE6t+wYhmVKMXsBf4n6eARrEFi9DgVtji4hGZpZLo79rZp/GrjmPxH3n1+VJM5sXpyQeREisAEyJU+oCjAJaxuftJL0paQJwMrBTXN4NeDw+fzizj/3jYwwwmpBsqOjcpPzXzIbF57sTEj5D4/k4Hdg6rttb0vBYx30ydRwPPCTpFEKrkdw5+BeAmb0GNJXUIK77j5mVm9kM4Fsg/dObc84555xzzv1EfIwRVzRJPQlJhG6xm8dgYCzhprxY2WZfy9vimVk/SV0J3V5GxVYXAs4zs5fWtO4JJcDuZpbf7vMmSf8hdC8ZKumAXHXz4lalKVt55vlSQssLgAHAkWY2TlJvQvehyojQNahg16JVlG1fLuAVMzvxRzuTyoC/EroKfR67xOTev0MI3YwOA66IM+lUJv8c+OeQc84555xzbq3xFiNuVTQEZsWkSFtC64IyoEeui0scWwLgFeDcXEFJjePTaZJ2kFQCHJVZ39rMhpvZVcB0QmuUl4Bzcl0tJG0nqV4FdXsTOF5SaRwzpAfwbpHH9TKha0yuLh0ydZpgZn8ERrAiAbSbpFbxGI4njBmSX5cjJdWN9T0qLqvMRsDX8VhPziwfxoruNidklr8E9IktW5C0haRN4vNXJW1Ryb4WF+q+ktnfnpK2jduqJ2k7ViRBZsR9HhvXlwAtzOx14FLCNVI/Hu/JMaYnYeyZdAdQ55xzzjnnXKVKSlWtH+siT4y4VfEiUEPSZMKgqMMISYy+wKDYxSY3jsd1QGNJE+PyvePyy4DnCIN3fp3Z9s2SJkiaGNeNI4z1MQkYHZf/nYpbFzxJ6NIxjjCeySVm9k2Rx3U+0FnSeEmTWDFOxgWx/uOBxYSBUyEkSf5CGAtkStz3cmY2mtAC5F1CF6B7zWxMog6/i7FDgfczyy8ALox12BaYHffxMqFrzTuxa8tAYKOYqNgWqGwkvv7AeEkP5a8ws+lAb+CRuM93gLZxCuJ7gImEpMyIWKQUeDDWYQzw5xh7DWHck/GEa+X0xPE755xzzjnn3FrhTdhd0cysnDDrSyEv5MXOpcDNsJkNJNzE5y8/On8ZoYvK5fGRqpsRZlu5uMC6+omyMwgtP/KXn5e/LEx+wxwzO7RAfMvM81uBW/PWTwXaZV7fknn+N+BvBar3JaGbj0k6gTBjTK7MHayYNSdXv3bAE2ZW4RD1ZnYpoXVHTru89a9RYHwWM7uSMDBrvvwxVnJjzRxZYPk1ea+LGCPeOeecc8455346nhhxrnrrRBgYVoRZbPpUFmxmE1kxi4xzzjnnnHNuPaN1tLtKdeaJEbdOiQN7/itvcbmZdS2i7BWsmE4453Ezu77Y/ZvZYGBwsfFryszeJExBvMokDQdq5y0+1cwmrHHFnHPOOeecc2494WOMuHVKvKl/BahJmD2lQ35SRNIASccWKHt9jM8+ik6K/FQk9ZN0WiKmt6S/VLCuYFcjM+ta4HiTSRFJgyV1Lq72zjnnnHPOObdu8xYjbl3UF2hiZkvXdkXWlKQaZnb3Gm7mcuCGqqiPc84555xzrnpTibdvqGqeGNnASXqKMDVuGXCHmfWXdCDhRruUMM3qvnGK1juBzoRBUa81syckzc0NbhpbaRxqZr0lHQdcDSwFZptZD0mlhBlKehK6eNxlZn+voF4C/kQY7NWA68zsUUnPEKaDHSXpRjN7tFB5whTCFwKbEWaoGRinjb0oN3BqbIEx0swGSJoKPBL3t4SQfLmRMMPLzWZ2dzwHTwONCS1WrjSzpyW1JAw++xawB2HA1CMqGgBV0mBgLGHQ0kckbQTMNbNbJHUB/gEsI7SMOSgzQGlzSS8CrYEnzewSSTcBdSSNBd6L9X4M2DK+f3+o6BxJugo4DKhDmAno7DiILcCpku4lfEb0MbN3JV2Tq2csPxE4lDAz0Ur7lNSJMABtfWAG0NvMvpZ0PmHmnyXAJDPLTkOcq1vfeCzcefHZ9Dliv0KHsNziOg0rXQ8wbFaPZExZWWkypnREcT2RlnZpn4yZ8vT7yZiysmXJmP22mJiM+WGrxsmY6+8rrr/qJb3TXx0zyzdKxjSom9/Ta2WlsmTMke0+Tca88VnrZAxAx1bzkjETPq90PGcATmz2v8mY0sUVjpG83GT2Ssbsv+sPLLX0e/f2Bw2SMQsWpK+3wzvPSMZYEfVpTHo7AI+9t0Mypqx2en877ZB+3776ZnEyRipPxvz3uzrJGIBDd6tsArHgpTHpz7dWP4xLxpSX90zGnLX9sGTMFS8WN2b2tm3S9d6jWfozcOi7lc0+H9StW9EM9Cvs3zX9W8rU2U2TMQDbbDI/GdPlu+eSMSUTv0zGtNp+92TMy9+nYwA2qpM+B+1apq/vXRmZjJm59Urjsq9kzy/vTcYMVe9kDMCxe3yXjGk5a1Qy5vm5eyZjps2olYxp0jj9Pfn+5NnJGID6bdPb6rnRiGTMv6fulow5pO1/kzHbt0x/d9VYlv4sBbj6qa2TMf9zbPq74t3p2yZjmjf3MTlc5Twx4vqY2UxJdYARkp4mTMvaw8ymSGoS435HSHC0B5CUusu6CjjAzL6U1CguOzNuo4uk2sBQSS+b2ZQC5Y8GOhDG19g41m2ImR0ekzEdEvvfnJB4aAs8Q4GZcAr4zMw6SLqNMN3unoSE0UTgbmAhcJSZzZG0MTAsJmoA2gAnmtlZkh4DjgEerGRftcysM0BMOOTcD5xlZu/EpEdWB2BXoBz4QNKdZnaZpN/kzoekY4CvzOyQ+Lqyv0z/Yma/j3H/IiQ5no3r6sZz0QO4j7yZa/IcmL9PSTUJibQjzGy6pOOB6wmDx14GtDKz8sy18SNm1p8wrTDzhz6RvjN2bgNWTFLEOeecc85VzNvguPMljQOGEVqO9AWG5JIVcdpVgF7AXblCZjYrsd2hwABJZxFaEQDsD5wWWzcMB5oSEgqFdAceMbOlZjYNeIMCU8hW4ikzW2Zmk4BNiyyTS3JMAIab2Q9mNh3I3cALuEHSeOB/gS0y255iZmPj81FAy8S+VmrFEfexkZm9Exc9nBfyqpnNNrOFwCSgUJp9ArCfpD9K2svMKvs5Ym9JwyVNAPYBdsqsewTAzIYADSpKYFSyz+0JyZRX4vt9JaFFCcB44CFJpxBajTjnnHPOOeeKpBJV68e6yFuMbMBi15JeQDczm5/p4tF2FTaT/TW/bPlCs36SugKHELq9dCIkFs4zs5fWtO5FyLYFzf3vXMKPk4Fl/FiuzLK88ssI/1dOBpoBncxscex+U5ZXFkL3oVQ76nR7/ZXl72Ol/79m9qGkjsDBwHWSXs21CsmSVAb8FehsZp/HVivZ85HfSsOo4PwV2ifwJPCemXUrcByHAD0I3XiukNTezDxB4pxzzjnnnFsrvMXIhq0hMCsmRdoCuxNudntIagWQ6UrzCnBurmCmK800STtIKgGOyqxvbWbDzewqwhgULYCXgHNiNwskbSepXgV1exM4XlKppGaEG+l31/B4/wvsKKl2bAGx7yqWbwh8G5Mie1O4xcZqM7PvgR9iQglgpbE3KrA4c06bA/PN7EHgZqBjBWVySZAZceyU/Fl8jo/b607o/jQbmJrbXkyE5K6RQvv8AGgmqVuMqSlpp3idtDCz14FLCec03fHfOeecc845534i3mJkw/Yi0E/SZMKN7DBCEqMvMCjexH4L7AdcB9wVB9xcClwLDCKMF/FcLDeSFTe5N0tqQ2it8SowjtCFoiUwOg6uOh04soK6PQl0i+WMMIDqN2tysLFlxGOEMUOmAGNWcRMPAc/GricjgfSocavuTOAeScsI3YeKGZmrPzBe0mjgAcK5XwYsBs4pVMDMvpd0D+FcfAPkj9q1UNIYwiCzfeKyJwhdod4jdIX6MC5vn79PM1sUB+P9cxznpAZweyzzYFwm4M8xIeScc84555wrQknputldpTrzxMgGzMzKCbOwFPJCXuxc4PQC2xhIgYFNzezoQrskTC17eRF1M+Di+MhfV2kLAzPrXVG8mV0CXFKgTMvM8wGEwVdXWkdI1hSyfHDS3KwtldSvZ97razIv3zOznQEkXUZIwBSq06GZ55cSWl/kFNVVycyuJIz9UWn9MssXEMaJyTe10D7jmCuFpoJJD1XvnHPOOeeccz8TT4w4V70cIul/CP83/wv0XrvVcc4555xzzrn1mydG3FolqT3wr7zF5WbWtVB8XtkrgOPyFj9uZtdXVf3WhKS7CFP+Zt1hZvdXVMbMHqXAjDVrWI8nieOBZFz6Mw2C65xzzjnnnHPVmidG3FplZhOADqtZ9nqgWiRBCjGzc9NRIOlmwowuz5vZSl2HqqAeR6WjKiepH2GA1QeqoErOOeecc8651bSuTolbnXlixLm1ry/QxMyW/lQ7kFRjdafEjWXvruo6Oeecc84551x14IkRt16R9BRhauAyQreV/pIOBG4ASoEZZrZvnKL2TqAzYVDYa83sCUlzc4O1xllVDjWz3pKOA64mzMgz28x6SCoFbgJ6ArWBu8zs7xXUS8CfCIPdGnCdmT0q6RnCTD6jJN0Yu9Jky5UCHwPbEKa2/Q7Y28yGSBpCmMWmMXBHPOYFwBlm9oGk3sDRcfulwC8qqNulwCnAMuAFM7tM0mBgLGGg1EckbQTMNbNb4roxwF5APeA04H8Is9M8Ggd1RdIpwPlALcIsNr+Ou/xH5rzfZ2a3FahTX0LCiEuuuZ0jf3lGoaov137OG5WuBzhr+InJmDt3fjAZY1bcx+aUp9OTFrU6om0y5ov/fJCMeX9hm2TMa/nzDhWw3Y6l6SDgix8sGdOh3uRkzNfL2idjfiivmYx5bVrrZEyxP6y0qPl5Mmb4wvT7VntGejsftjokGdPc0ttBMOijdsmwjeqlT8Kh7b5MxpQtm5eMefWLHZIxsEkRMfD11/OLikvp0K5OMmbjpunr7fPZjZMxGzcoLg/93+8bJWP22Kk8GbN0We1kTN06JcmYb+u2TMY0bpI+jwBz56bPQd3y9KRkW2+1fTLmh7np3xXmL0qGMGxccb9PHN19YTJmYaPNkzETm6Y/A7Yr/TAZ07xRuj4ACxanv7/KF6e/B+bXT1+3tWsVUaEl6c+kFs2L+879aGazZMym9dOfOZtuXi8Z03n79LU9Y276BDTeuG4yplgjyjsmYzbfOP3d/cncLZMxn3+X/rzp1SL9NwDAgnnpz7cP57VMxmzV+IdkzNczGhRTJbcB88SIW9/0MbOZkuoAIyQ9DdwD9DCzKZKaxLjfERIc7QEkpf7SvQo4wMy+lJT7i+DMuI0ukmoDQyW9bGZTCpQ/mtBlaBdg41i3IWZ2eEzGFOxOZGZLJX0A7EgYJ2Q0sJek4UALM/tIUgNgLzNbIqkXIQl0TNxER2BnM5tZaPuSDgKOALqa2fzM+QGoZWadY9w1eUUXmVlnSb8FngY6ATOBTyTdRrjjOR7Y08wWS/orcDLwHrCFmbWL2y3415WZ9SdMQ8w7k+ekv8md24AVkxRxzjnn3PpDJelkt1s1nhhx65vzJeXG1GhBaHUwJJesyCQIegEn5AqZ2azEdocCAyQ9BgyKy/YHdo4tSyC06GgDFEqMdAceid1lpkl6A+gCPFPEMb1JmPa2FXAjcBbwBpBrA9AQ+KekNoRWGNmfPF+pKCkS9QLuN7P58KPzA5UPApur9wTCFMNfA0j6lHDeuxOSJSNCYxnqAN8CzwLbSLoT+A/wciX7cM4555xzzrmfnKea3HpDUk/CjX43M9uF0N1j7CpuJts6oWz5QrN+wJWEm/5RkpoCAs4zsw7x0crMfoob/SGEbiu7Ac8DjQjdd96M6/8AvB5bYRyWrTeQbvNescrK5to+Lss8z72uQTg3/8ycm+3N7JqYgNoFGAz0A+5dg/o555xzzjnn3BrzxIhbnzQEZsUuIW2B3QlJgh6SWgFkuoq8AiyfNSbTlWaapB0klQBHZda3NrPhZnYVMJ2QIHkJOEdSzRiznaSKOqe+CRwvqVRSM0ILkHeLPK53gT2AZWa2kJDsOZuQMMkdd25ggN5FbjPnFeAMSXXjMTRJxBfrVeBYSZvktitpa0kbAyVm9gQh0ZTuFOucc84555xbTiWq1o91kSdG3PrkRaCGpMmEQVGHEZIYfYFBksaxonvIdUBjSRPj8r3j8suA54C3ga8z275Z0gRJE+O6cYTWDpOA0XH536m4e9qTwPhY7jXgEjP7ppiDMrNy4PN4PBCSLBsRurFAGNT1RkljKtl/Rdt+kdAtZqSkscBFq1K+ku1OIiQ+XpY0npCA2RzYAhgc9/UgYdBW55xzzjnnnFtrfIwRt96ICYSDKlj9Ql7sXOD0AtsYCAwssPzoQrsELo+PVN0MuDg+8tfVL6L8XpnnDwMPZ16/A2yXCb8yLh8ADChi2zcREknZZT3zXl9TaJ2ZDSZ0iym07lEKj1PirUScc84555xz1YYnRpxzzjnnnHPOuXVESem62V2lOvPEiHNVSFJ74F95i8vNrGsRZa8Ajstb/LiZXb826+Wcc84555xz6zMfY6QakNRB0sFrUH6wpM6JmAtyA2wm4u6VtOPq1uWnImlqHLizutsTuNXMOgC3Awfnkg+pYzCz63OzuMSyb1VFUiRue0LcbiOgV9zPGiVFJPWUtEfmdT9Jp61pXZ1zzjnnnHPu5+QtRqqApFIzW1rR6yJ0ADoTpmL9qVxAGOxyfmVBZvarn7AOy0mqYWZL1rd9mdndmZe9gYnAVz/HvteCnsBcwmC0+cfunHPOOeec+wmsqzO/VGeeGCmCpKcI07OWAXeYWX9JcwmzkPQCzpX0IGGgyf2AP0kaAdwFNCMkI84ys/clHQdcDSwFZsfyvwfqSOoO3BgHraysPnWA+4FdgPeBOpl1+wPXArWBT4AzgD5Ac+B1STPMbG9JfwO6xLIDzezqWH4wcJGZjYzHeAdwKLAAOMLMphVxvpoA9wHbxGPva2bjJV0DtI7LPwNOLFC2FPgjcCCwDLjHzO6Mq8+TdBhQEzguns/dYh3LYh3PMLMPJPUGjgbqA6WS9gb+AuxDmOFlMXCfmQ2U1Am4NcbOAHqbWXZGmlzdNgFeMLNOknYhTJu7tZl9JukToD1wCSFZMJWQ7HpI0gKgW0XHUMT5bAbcDWwVF11gZkPj8ocJ7+07hGuvk5nNKHTNpvYT91WwnKQDgRuA0niOzgT6AUslnQKcB+wLzDWzWyR1iHWuS7gO+5jZrHh9DSfMAtQIONPM3qysTo1q/ZCs97wGzZMx9+3x72TMubt/mt7O29skYwDKypYlY774zwfJmC0P2T4Z881rycuIQ7rNS8Y0rDUrGQNQqnTe9+mPdk7GnPrJJcmY7w44MxkzubRVMmb6nFrJGICvlqavpV/XGZCM+bDVIel9zWuUjFlYVjsZ07X1HD6e0SAZt8OmM5Ix/x6WPv4WzdN/Onw8pTwZc8QeC5MxAFLDZMyIkd8nY/ZovtLH+krenZb+//3+f9N/jJ796QXJGIAPD/9DMmZzfZGMuW/insmYk3ccn4x557v0/9vf1fljMgagfId0o8SRy9L1/s3S25Ixd9T9P8mY2QvS79v/7PhsMgZgwtKeyZgX53RPxpQvTtfp1c/bJWOab1YzGQPwzbeLkzGXlt6ajPlh557JmLJalowZVLtPMubE8geSMQBPLj41GTOqfJdkzAm7fZmM+XhO+nOyrGb6b4DWWxf3vVSzNP2dO2xC+nyfsGd6MsRpCxonY5amD43ykmQjdQBuP+7jZMyE0vR3wKdFfAcuXpw+R4EnHDZU3pWmOH3MrBPhRvd8SU2BesBwM9vFzN6Kcd+ZWUcz+zfQHzgvlrsI+GuMuQo4wMx2AQ43s0Vx2aOxe0OlSZHoHGC+me1ASLJ0AojdNK4kdJXoCIwELjSzPxNaLextZrlpaa8ws87AzsAvJBX6a6geMCzWdQhwVlFnKyRmxpjZzoQZW7LfajvG+q2UFIn6Ai2BDrH8Q5l1M+Jx/Y0V08q+D+xlZrsSzuMNmfiOwLFm9gtCkqRl3P+pxESFpJrAnTGuEyGhU7D7ipl9C5RJagDsRTi/e0naGvjWzOZnYgfG9SfH93VBJceQcgdwm5l1AY4hTBMM4b1/zcx2Isyks1WmTKFrthgrlYsJmHuAY+K1cJyZTSUkPm6Lx5ef3HgAuDS+hxNiXXNqmNluhFZMV1OApL6SRkoa+di/Hyyy6s5tmIpJijjnnHPOuYp5i5HinC/pqPi8BdCG0OLjiby4RwEk1Qf2AB6Xlmcdcz/7DQUGSHoMGLSa9ekB/BkgtsTI/Qy0O+HGf2jcby1CS4JCfimpL+Ea2DyWy/85aRHwXHw+itAioRjdCTfwmNlr8eY695f7M5kkQSG9gLtzXV/MbGZmXe58jSIkOgAaAv+U1IYwfW72Z5NXMuW7EwYyXQZ8I+n1uHx7oB3wSjxnpUBlPyu+TRhHpAchCXMgIbVcaauHxDGk9AJ2zFxLDeI11h04CsDMXpSU/bm/0DX7XRH7KlSuGTDEzKbEfc2sqDCAws+7jczsjbjon8DjmZDsOWhZaBuxpUp/gMmffFlsit8555xzzjnnVpknRhIk9STcmHYzs/mxK0AZsLDAOCK5tuolwPdxsMsfMbN+kroChwCjYjeOKqsuIRlQUWuMECS1IrRW6BK7NwwgHFO+xWaWuyldStVcL+n2/BXLtc3O1uUPwOtmdpSklsDgVdyXgPfMrFsyMhhCaC2yNfA0cCkhIfOfIssXOoaUEmB3M/tRu/NMooS85T0pfM1WanXLrYbVOQfOOeecc845QCXe8aOq+RlNawjMijeKbQmtMiplZnOAKXE8ERTsEp+3NrPhZnYVMJ3wq/wPwEa58pJ2k1RZp8ohwEkxth2hOwzAMGBPSdvGdfUkbRfXZffRgJA0mC1pU+Cg1DFlSTpK0o2VhLwJnBxjexK6j8wpcvOvAGdLqhHLN0nENwRyHUJ7VxI3FDhGUkk85p5x+QdAM0nLu9ZI2qmS7bwJnAJ8FFufzAQOBt4qEPuj93UNvEwYw4NYx1zCbSjwy7hsfyDXMXSVr9lEuWFAj5hQy74nBY/PzGYDsyTtFRedCryRH+ecc84555xz1YEnRtJeBGpImgzcRLhJLMbJwJmSxgHvAUfE5TdLmiBpIqFbxjjgdUJXibGSjieMFVFZd5O/AfVjnX5P6JKAmU0nJAceid1r3gHaxjL9gRclvW5m44AxhPE5HibcYK+K1kBliY5rgE6xDjcBp6/Ctu8lDMw6Pp67kxLxfwJulDSGylsfPAF8AUwizM4zGpgdx3g5Fvhj3N9YQjeoguLYGiIkpyAkRL43s0KjVg4A7o7va50C64t1PtBZ0nhJkwiDnkIYy2X/eC0dB3xDSFas7jVbsFy8rvoCg+I5yo2D8yxwVDy+vfK2dTrhWh9PmHXp96t60M4555xzzjn3c/Bm7AlmVk7hFhX18+Ja5r2eQhh/In97hcaVmEmYIQYASTcTZrSpqE4LgBMqWPdadluZ5XcSBhnNve5dQfmemef1M88HEgb4hHCjW+EQ8HEMiiMLLL+mojKZmCXAhfGRXd4y83wkscWHmb0DbJcJvTIuH0BITOTKLJN0kZnNjQORvksYFBQzG0sYM6QoZtYi8/wGMgO+Zo/RzJ7gx+PQFDyGCvaxvP5mNgM4vkDYbMJAvktii5cu8XqFCloB5V+neesqutYxsxeAF/KWfciK1kqQGWclntOVWqrkXV8zqGCMEeecc84551xhPl1v1fPESDVkZhev7TpUxsxOWdt1WE3PSWpEGJT2D2aWnresetsKeExSCWGg3GJnDXLOOeecc845F3lipBqTdADwx7zFU8zsqELxPzdJZwC/zVs81MzOLaLsz35s2dYKKZLuIsw+k3WHmd1flXVak3NoZh8Bu67GPpsCrxZYta+ZFTNzjXPOOeecc86tNzwxUo2Z2UvAS2u7HhWJSYLVShSsA8eWTExU0X5W+xyuwT6/I3SHKoqke4FbzWzSqu4rDr67yMzeXtWyzjnnnHPOuZV5V5qq54kR51ylzOxXa1C8JzCXMNCwc84555xzzlU7MrO1XQfnXCUkPUWY1rkMuAP4R3x0Bgy4z8xuk3Q+YcaaJcAkMztB0m6xTBlhpqMzzOyDOCXx/YTxVkqAY4CvgMeALYFSwjgsj0oaDFxkZiMlzY3bOzRu7wgzmybpMMLAt7WA7wizMtUhzGyzlDA19XmEmZDuJoyPAnCBmVU6K9KID75PfkhtvfTjVAhvze2YjCn//+zdd5hV1bnH8e9vhg7SEamiiCCioqJRg4pETSyJEDUaNQYx1xJLco3R3MTYYhI13hhLGvEqFoy9J1GJgCJYQOkIGgUFEZUubRjgvX/sdeQ4nJn3gEMZeD/PMw/n7PPba6+9TxnOmlXK/db3lauKa6E/qt1kNzNtZRc3M3dxHTfTrG83N/Pp0Olu5qNP1rgZgF5dV7uZeUv9ei9Z5l/L3dqsdDMLlvnHmvVxcc/bgV2Wu5mhY/3j/Xgfvy1wccM2bqZ++WduBuDNlXu7mbHT/Guwx67+YnXNGqxyMx8uqOdm2jYrczMA/3rZf73Vb1Dbzey0o59p32qtm1lZ7l+jpSuKe73Vq+P/H6y0iPUDT+AxN/NA2Ylu5qs7z3Izf3u+hV8hoE6dUhk+pO0AACAASURBVDdz7uEz3czTb+/uZuZ+Uu5m2rfx37ezP/Jf2wD7d/fP7Uj5nWI/br6Hm2m+bLabWVWnkZsBmFTW3c2sKPf/ZrpvE//3yT1vdHUz3z1gppt59aNd3QxAl1aL3cxOJXPczOCx/uut2y7+m3LaDP+zpFZpcZ8T+3f1fzcfNvdeNzN7t75uZvy8nd1MqfzPrUMbvO5mAH7y0C5u5tT+/mfODnX99+4Lb/qfAQBXnVG7RnTFmH7K17fqL/FdH3yuRlzHfNFjJISt30AzW5CW/B1DtjxzOzPrAZAmlAX4GbCLmZXlbZsGHJpWrjmSbAWdE8kaUG4xsyGS6pA1hBwLzDGz41K5TQrUpSHwqpn9QtKNZBO+Xke2bPFBZmaSfgBcZmY/kfQXYKmZ3ZTKvB+42cxeltSRbDjVev8zlHQO2RLB/M81N9P/lAEbffFC2NYV0ygSQgghhG1HDKWpftEwEsLW72JJuUlpO5D1ythV0m3AP4Dn02MTgSGph8kTaVsT4G5JXch6l+T+ZPoK8AtJ7YHHzOwdSZOA/5V0A/CMmX2+/G6eVcAz6fYbwFHpdnvgQUltUv1mVHIuRwLdpc8/zBtLamRmS/NDZjYIGATF9RgJIYQQQgghhI1VRAfNEMKWkiYvPRI42Mz2AcYBdYF9gBFkPT/uSPHjgD8C+wFjJNUCfgUMT71Lvkk2pAYzux/4FtlwmH9K6mtmb6d9JwHXSbqyQJXKbd34uzWsa1y9DbjdzPYCzs0dp4ASsp4lPdNPu4qNIiGEEEIIIYSwOUWPkRC2bk2AhWa2XFI34CCgJVBiZo9Kmg7cJ6kE6GBmwyW9DJwKNEr7f5jKGpArVNKuwHtmdmsa0rK3pGnAAjO7T9IiYEMmXc0/zvfztn8GNM67/zzZXCO/S/XoaWbjN+A4IYQQQgghbNdUEv0bqltc0RC2bs8CtSS9BVxPNplpO2CEpPHAfcD/kM0Rcl8aDjMOuNXMFgE3Ar+VNI4vNoR+B5icyugB3APsBbyetl1FNndIsa4GHpb0BjAvb/vTQH9J4yUdClwM9JI0UdJUsh4vIYQQQgghhLDFRI+RELZiZlYGHFPgoVsKbOtdYP9XgPwp1q9I268na2jJ91z6qVhGn7zbjfJuPwI8km4/CTxZYN+3gYozQ55SoO4hhBBCCCGEsEVEw0gIIYQQQgghhFBDlBS53HMoXgylCSGEEEIIIYQQwnYrGkZCCCGEEEIIIYSw3YqGkbDNkPTzvNtNJf1wMxyzk6TTnExPScdu6rpsKpLaSnrkS+z/Y0kNqrNOIYQQQgghhFBdYo6RsC35OfCbdLsp8EPgT5v4mJ2A04D7q8j0BHoB/9zEddkkzGwOcNKXKOLHZKvnLN+YnXcqmeNmlpc2djOvT1jlZs7q+6mbefDVNm4G4LOOzdzMsDF+OccdvMzNvDN0uptpdVRXN7PbhDf9CgG1Sla7meFj/XLOPuJDN/PExF3czJo15h8Mo1Vz/28Br73tt+G1ae2P6x1fcqCb2X3tf9zMS4v3dTMAZeV+nbp28q/Th5/45SxqUM/NdNnJf7u3qLvEzWR2cBOdd65TZFlVGzPJf2232ck/1h4dVhZ1vEkz6rqZQ7stdDMPzD7RzbRt7n8GTvy0nZvZqbUbAWDHFv777ZVPdnczHXdc62bmL/Bft8tW+K//Zk1r07XjGjf39iz/3D7Zq5ubWbHW/7x5dsl686qvZ9q75W4GoEM7/7X71U7+79xP1/ovgi47+8/JKvzX/4IiPybUyn9+P1rjv74/W+xfy8lv+1+fzPz67L9XcXNEfLjAf95ea/9dNzNsVG03c8R+ZW5m+Jv++dfucYCbAejWw78GK4r4/fbKRP/ctI1NyaGSbeyEtgLRYyTUSJKekPSGpCmSzpF0PVA/LQs7hGzFlc7p/u/SPj+VNCYtFXtN2tZJ0jRJgyW9LWmIpCMljZL0jqQDU+5qSfdKeiVt/69UleuBQ9Nx/rtAPesA1wKnpMwpkpqn+k+U9Kqkiqu25O9/YDrmOEmjJXVN2/eU9Hoqc6KkLpIaSvqHpAmSJks6JWWvTOc9WdIgKfvVIOliSVPT/g+kbYenMsenY+6QrtHk9PgASY9JejZdhxvz6vpnSWPTc5K7vhcDbYHhkoanbUenc3pT0sOSGlFBek7HSho75IGHin5dhFCZYhpFaqpiGkVCCL5iGkVCCCFsm6LHSKipBprZAkn1gTHA4cCFZtYTsgYPoEfe/aOBLsCBgICnJB0GfADsBpwMDExlnUa29O23yHqh9EvH3Bs4CGgIjJP0D+BnwKVmdnyhSprZKklXAr3M7MJUl9uAcWbWT1Jf4B6yXiWFTAMONbPVko4k6xFzInAecIuZDUmNL6XAscAcMzsuHadJKuN2M7s2bbsXOB54OtV9FzMrk9Q0ZS8FLjCzUanBotCfPXsC+wJlwHRJt5nZLOAX6TkpBV6QtLeZ3SrpEuAIM5snqSXZksFHmtkySZcDl5A1HuVft0HAIIBZ70wtpjtACCGEEEIIIWyUaBgJNdXFkvqn2x3IGj2qcnT6GZfuN0r7fADMMLNJAJKmAC+YmUmaRDZUJudJM1sBrEi9Hw4EFm1E3XuTNW5gZsMktZDU2MwKdRhtAtwtqQtgQK6v4CvALyS1Bx4zs3dSff9X0g3AM2Y2MmWPkHQZ0ABoDkwhaxiZCAyR9ATwRMqOAn6fet08ZmaztX7fwxfMbDGApKnAzsAs4DuSziH7XGkDdE/HyHdQ2j4qlVsnnUsIIYQQQgihCCrZdnvCbilxRUONI6kPcCRwsJntQ9bY4Q16F/BbM+uZfnYzs/9Lj+UPqFybd38tX2w8rNhzYXP0ZPgVMNzMegDfJJ2nmd1P1qNlBfBPSX3N7G1gP2AScF0aQlOPbJ6Vk8xsL+BvrLtWxwF/TPuMkVTLzK4HfgDUJ2u8KDRIOv96rQFqSdqFrLfJ18xsb+AfFH5OBAzNex66m9nZG3ltQgghhBBCCOFLi4aRUBM1ARaa2fL0xf2gtL1cUq5HxWd8cca+54CBufksJLWTtOMGHvcESfUktQD6kA27qXicQipmRgKnp3r0AeZV0lsEsnPNzVA5ILdR0q7Ae2Z2K/AksLektsByM7sP+B1Zg0eucWJeOveT0v4lQAczGw5cno7TSFJnM5tkZjek8/Nnj8s0BpYBiyW1Bo6p5PxfBb4qabdUj4aS/Nn3QgghhBBCCGETiaE0oSZ6FjhP0lvAdLIv25DNSTFR0ptmdrqyCVQnA/8ys59K2gN4JQ3hWAqcQdbjoVgTgeFAS+BXZjZH0qfAGkkTgMFmdnOB/YYDP5M0HvgtcDVwp6SJZCu1fL+KY95INpTmCrJeGDnfAb4nqRyYSzb3yAHA7yStBcqB881skaS/AZNTLrcOSilwX5qHRMCtKfsrSUeQ9ZaZAvyLbFhMlcxsgqRxZHOizCIbkpMzCHhW0hwzO0LSAODvknLT0V8BvO0dI4QQQgghhBCr0mwK0TASahwzK+OLPRJyRpD1fsjlTquw3y3ALQX265GXGZB3e2b+Y8BEMzuzQpnlQF+nvgvIGi3y9SuULbDvK0B+j4or0vbryVbEyfdc+qlYxhW5/SpYbw1AM7uoQG4m6TqY2WBgcF7++LzbAyo5h9uA2/LuD2P96xFCCCGEEEIIW0QMpQkhhBBCCCGEEMJ2K3qMhFAEM7vay0j6OnBDhc0zzKx/oXyFfc8CflRh8ygzu6DoSoYQQgghhBC2eTGUpvpFj5FtkKROaW6NrYKkpenftpIeSbd7Sjo2L/MtST/byPJnSmpZPbUtWH4/Sd3z7l8r6ciKOTN7Lm+1ldyP2yiS9r2rwL7V3ihSXc+FpNHVXbcQQgghhBBC2BKiYSRsNmY2x8xOSnd7AsfmPfZUmjdjqyKpFtl8IJ83jJjZlWb2781ch2r1ZZ8LMzukuusUQgghhBBCCFtCDKXZdtWSNIRsydYpwJnApcA3gfrAaOBcMzNJI4DXgCOApsDZZjayUKFpRZH+ZMu7tgPuM7Nr0mOXAANT9A4z+0OFfTsBz6Q6XQvUl9SbbKWW+kAvM7swLff6F2DXtOv5ZjZa0hNAB7IlaG8xs0HeRUjHfBZ4I/9apKV+r6zieownm5z0ceBbwOFpZZgTgV8Cz5jZI5L2B34PNALmAQPM7CNJFwPnAauBqWZ2aiX1aw7cmc51OXCOmU2UdDXQOW3/APhugX0HsOWei6Vm1igtAfwk0AyoDVxhZk+m8v8FvAwcQrbk8AlmtqKYayPpHOAcgB9dcTvHnfSDQpfvc8tW+R9ltWr7CxC1feYPbsZaFNd+9+s7/S6Ou3cvdTNN6ix0Mx99Ut/N7DbhTTezeJ/93AzAAROGuJk1a/Z0M1MXdnQzzZv413Hup2vdTLFWrvTLWrbM3Mz8hXXczB0TmruZHvv6xwJj1Sq/3r338d8DE97yr/fKlavdzAeza7uZTz+p52YAbO0qN/PGOL9OV319mpv5w4yebmbKlMVuZr9d/Pc2wKfz/OvdrNT/DHjlVf91cva3/c/J5172633cYf5zCzDlff898On8cjfzk31fcTOvrz7YzSxZ4r9G/jO7uP8WlxbxZ8XfP+a/v1cs81/bdeotcjNt2jXyKwS8Oc4vq2ubJm5mzVr/AnxUxGv7xVF+vXfv6kYAePo1v6yyMv8z8LyjPnQz05f4v7teneSfv4ocCTFl2nI3M/qVFW6mQUP//Ie+7r9vzfzfNzPn+uUALF3qvwemz/Tfl8X8Duy8S3G/c2oKlUT/huoWDSPbrq5kDRyjJN0J/BC43cyuBZB0L3A88HTK1zKzA9OQiquA9YaK5DmQbJWS5cAYSf8ADDgL+ArZ8q+vSXrRzMZV3NnMVqVGiV5mdmGqz4C8yK3Ai2bWX1IpWaMDwEAzWyCpfjruo2Y2fyOvxU3O9ahjZr3SY11IDSHpPunf2mSrrZxgZp9KOgX4NVmDxM+AXcysTFLTKup2DTDOzPpJ6gvcQ9aDA7JeKr3NrKrfdlvquchZCfQ3syVpONOrkp5Kj3UBvmtm/yXpIbJGpfuKuTap0WsQwNAJZcV8Mwxhu1XMfwhDCCGEEELloqlp2zXLzEal2/eR9X44QtJrkiaRLTGb/yfdx9K/bwCdnLKHmtn89IX9sVR2b+BxM1tmZkvT9kM3su59gT8DmNkaM8v9ee5iSROAV8l6jnQpsrxC1wKqvh4PFlFuV7JGiaGSxpMtids+PTYRGCLpDLKeEZXpDdwLny9j20JS4/TYU06jCGy55yJHwG8kTQT+TdZzpXV6bIaZjU+3819XxV6bEEIIIYQQQtjkosfItqviX9kN+BNZz4BZaahGfp+ysvTvGvzXRaGyNylJfch6sRychsGM4Iv1r8p69ZVUj6qvx7JiqgVMMbNCfXiPAw4jG6rzC0l7mdmGNgIUU4fN/lxUcDrQCtjfzMolzWTddSzLy60hG6ID1XNtQgghhBBCCKFaRI+RbVdHSbkv7KeRzfUAMC/NC3FS4d2KcpSk5mlISz9gFDAS6CepgaSGZHNfFJynJPkM2KGSx14AzgeQVCqpCdk8GgtTo0g34KANqG+ha5H78l7M9aisrtOBVrmyJdWWtKekEqCDmQ0HLk91r2zw60iyxoVc4888M1tS9JltmeciXxPgk9QocgSwc1WV3cBrE0IIIYQQQqhAJdqqf2qiaBjZdk0HLpD0FtnEmH8G/gZMBp4DxnyJsl8HHiUbEvGomY01szeBwemx18gm/FxvTos8w4HuksanuTny/YhsmMsksiEY3ckmUK2Vzud6suE0xVrvWpjZIoq/Hg8AP5U0TlLn3EYzW0XWoHJDGuIznmyi0VLgvlT/ccCt6XiFXA3sn4aiXA98fwPOC7bMc5FvCNArPX4m4M1uuCHXJoQQQgghhBA2uRhKsw0ys5lAtwIPXZF+Kub75N2ehz/HyGwz61egnN+TrdBScXujvHr1SLcXAAdUiA5Oj30MnFDguMcUqoyZefVdbWZnFNjPvR7p/ii+2CAwIO+x8WTDQirqXWDbetJ1KHQtry5mf7bQc5FXzjygsuUAeuTlb8rbXtS1CSGEEEIIIYTNIRpGQgghhBBCCCGEGiKW661+0TASCpL0deCGCptnmFl/Um+CrYmkFmTzYVT0NTPrUWD7ZiXpLLJhKflGmdkFRexbo56LEEIIIYQQQqhJomEkFGRmz5HNvVEjmNl8oGf+NkmdgBfJG9JRiKRrgZfM7N/VVR9JS3PDTVL97gLu2piyinkuJPUCzjSzi9MkrqvMbPTGHG9DSfoncNqGzhWyuesZQgghhBBCCIVEw0jYrkkqNbMrt3Q9viwzGwuMTXf7AEuBzdLgYGbHbuSufdiM9QwhhBBCCGGboJq58svWLBpGwraulqQhwH7AFLKVU6YCDwJHATdK+gbwjJk9ImkmcDfwTaA2cLKZTZPUCrgfaAu8kvbdP00+Wqm0FPCTZKvh1AauMLMnJf0UKDOzWyXdDOxjZn0l9QXOTvX8P6AXYMCdZnazpBHApWY2VlJLYKyZdUq9Ly4FLgTOA9ZIOgO4yMzWW6pX0jfJJp6tA8wHTjezj6s6T0lPAB3Iljq+xcwGpbJmpno2Av5FthzyIcCHwAlmtkLSxaleq9P1/1lV9ZR0DnAOwG2XDOTs4/tWdZnRqpVVPg7QaL/15t9dT7n6uxkm+BGAywb4H6+zPzM3U6o1bqZX19VuplaJnzlgwhA3AzBmn9P9Oo18y83s0uQTN9O16Sq/Qh39yNI1Df0Q0KGFv3r0nIV13Uz/hs+6mXkH7OZmlpt/jQAa20I3s7Sk4mrb69uxVVs387U9/GPNW1nEseotdzMAN9zjj6Nu1sp/3uqu9Du1ddvNf26ts59pVed9NwNw8cFV/goBoHyNf7z/qbieWAFln69SX7mLjvE/S4e+29nNANTzq82l+7zsZj5p5L9PdutUx810aOGf2/JVxX3R6Np0jps5puIabgUsXt3YzTSvvcDNLFtT7h8MWFC2g5vZvdRbXA6aThvhZhrv5S+yd+puM9zM0rrN3AzAhytau5k9mOxmFrOjmzH/Vzc7NCp1M1PfL+719rWD/Ey7RkvdzJJy/7N0p7r+a3v2ip3czIELHnYzAGeM38/N/Pn8xW7msff3dzPtmhf3Psn+ux62RzFrS9jWdQX+ZGZ7AEuAH6bt881sPzN7oMA+88xsP7Ilji9N264ChpnZnsAjFPVVDICVQP9U3hHA/0oSMBI4NGV6AY0k1U7bXiIbFtTOzHqY2V4UOQwnrTbzF+BmM+tZqFEkeRk4yMz2JVuO+LIiznOgme2f6ntxmteloi7AH9P+i4AT0/afAfua2d7AeV49zWyQmfUys15eo0gI27tiGkVCCCGEEELlosdI2NbNSsvtAtwHXJxuP1jFPo+lf98Avp1u9wb6A5jZs5KK/SYi4DeSDgPWAu2A1qns/SU1BsqAN8kaHA5NdfwI2FXSbcA/gOeLPF6x2gMPSmpD1msk92ebqs7zYunzLhUdyBpB5lcod0Zawhiyc+yUbk8EhqReJ09U54mEEEIIIYSwPVFJDKWpbtFjJGzrKnZ4zN1fVsU+ZenfNXz5xsPTgVZkw1F6Ah8D9cysnKwxYgDZHBsjyXqU7Aa8ZWYLgX2AEWRDTu5I5a1m3fvW7xdduduA21NvlHO9stJQnSOBg81sH2BcJfuU5d3Ov37HAX8kG9I0RlI0yoYQQgghhBC2CtEwErZ1HSUdnG6fRjaEZGOMAr4DIOlosjlDitEE+MTMyiUdAeyc99hIsqE6L6Xb5wHjzMzS/CElZvYo2VwguUGYM4HcQMqTKjnmZ4A3kLgJ2RwgAPkDgSs7zybAQjNbLqkbUMSI14ykEqCDmQ0HLk9lNSqyniGEEEIIIYSwSUXDSNjWTQcukPQW2Zf8P29kOdcAR0uaDJwMzCX7Yu8ZAvSSNIlsQtX8Wc1GAm2AV8zsY7L5SHJzbbQDRkgaTzYE6H/S9puA8yWNA1pWcsyngf6Sxks6tJLM1cDDkt4A8mf/q+w8nyWbyPYt4Hrg1SLOPacUuC9dg3HArWlp32LqGUIIIYQQQsijkpKt+qcmiu7sYZuVJvjsVuChThVyA/Jud8q7PZZsSVmAxcDXzWx16oFygJnlDxupeOxG6d95wMGVZF4gb+prM9s97/YE1vUSyd9nGrB33qYr0vYRZMNuMLO3K2QKHftJstVyKqrqPI+ppKxO6eY8oEfe9pvyYr0L7OfWM4QQQgghhBA2tWgYCaE4HYGH0rCQVcB/beH6bCrby3mGEEIIIYQQAhANIyEUxczeAfbN35aWq32hQPxrZlZxtZYtQtIvyIbE5HvYzH5dKF/oPEMIIYQQQghbj1iVpvpFw0gIBUj6uZn9pqpMavzoWWR53wK6m9n1VWRGm9khBbYPBp4xs0eKOVbefiOASytrBNlYkmYCvdIwofzt5wHLzeye6jxeCCGEEEIIIWxK0TAStnqSapnZ6srubyI/B6psGNkQZvYU8JSTWa9RpCYxs79s6TqEEEIIIYQQwoaKhpGwWUk6k2yJWgMmAg+RTSBaB5gPnG5mH0u6GugM7Ap8IOk54Ntky7yWSnofeMzMnkjlDgEeSpOKVjxmPbLVaHoBq4FLzGy4pAFkPR8uTLlnyFZ9+QZQP60IM8XMTi9QZsNU9/Zkq678yswezO9NIakXcJOZ9ck/lqTWwF/SuQGcb2ajJS01s0aSBNwGHAXMIpvrI3fc/YHfp+swDxhgZh9Vccm/J+kOsvf6QDN7XVJz4M50/OXAOWY2MV3zXdL2jsB/ky3LewzZ0r7fNLPyVO5lko4BVgCnmdl/0v5Lzeym1FvlNeAIoClwtpmNlNQAGEw2Set0oC1wQZroNv/6ngOcA3DNdb/llFPXewq+YG0RC2ztymw3c8d4v22qXZviZtpeUOavRNyz4Vtu5sl3/Plpm+5gbmb4WDfCmjV7+iGg10i/3g0O3cPNTBw+zc28P2etm2nXutTNzJ67xs0AfLfXDDfz0aLd3Mzixu3dzPsr2rmZD+bXdzPQhqNbj3NT4z5u62aa7OB3zV25pq6bGf6m/9+Lkw7xnzeAljs1cjO1a/tl/WPl0W7mrXcqnVP7c/vuWdvNvPrhzm4GoFZpRzczf7FfzjHd/NftX55u7GZOOdrPvD/Lv0YAbdvUcTPvNdzHzQyb0MzNnL/TY25met3D3cyrU5q6GYD9913kZlaX+K+TFuX+76UxK3q5mZkf+9caoEUT//N0eZ0ebmbXnq3czIhJ/vN2/F7L3MyzU/zPUoBiFsFouvsubuaBEU3cTK1a/u/cVi39z9KPPy13MwDjV/mfb2/X95+TRYv9vynut0cHNzN1hn+xm+/Tx80AtOnov3Zl/vvtw7mr3Ez9esW9T8L2KxpGwmYjaU+yRpBDUsNBc7IGkoPMzCT9ALgM+EnapTvQ28xWpIaF/YC9zWyBpMPJvrg/IakJcAjw/UoOfQFgZraXpG7A85J2rySLmf1M0oVmVtUwmW8Ac8zsuHRu/m/SdW4FXjSz/pJKyRo58vUHupKdf2tgKnCnpNpkDSYnmNmnkk4Bfg0MrOJYDcysp6TDyBpDepAtyTvOzPpJ6gvcw7ohQZ3JGjO6A68AJ5rZZZIeB44Dnki5xel6ngn8ATi+wLFrmdmBko4FrgKOBH4ILDSz7pJ6AOMLVdrMBgGDAKa/O8v/H0gI27FiGkVCCCGEsO2oqUvibs2iYSRsTn3JJv6cB5AaOPYCHpTUhqzXSP6fvZ4ysxV594ea2YK074uS/iSpFXAi8GgVw2t6kzUoYGbTUm+TShtGijQJ+F9JN5DN/zFyA/btC5yZ6rOGbIncfIcBf0+PzZE0LG3vStawMTTrVEIpUFVvEYC/p+O8JKmxpKZk1+PEtH2YpBaScn8m/JeZlUualMp/Nu98O1UsN/17cyXHzv0J7428fXsDt6RjT5Y00al/CCGEEEIIIWxS0dQUtrTbgNvNbC/gXKBe3mMV+1hWvH8PcAZwFllviA21mi++B+pVFqzIzN4m68EyCbhO0pUFyiy6vCKJbGhPz/Szl5l5fcMr9rbwel+UAZjZWqDczHL5tXyxIdUqub1eWcAaohE2hBBCCCGEsJWKhpGwOQ0DTk7L3JKG0jQhm78CKh8KU5nBwI8BzGxqFbmRwOnpmLuTzZ8xHZgJ9JRUIqkDcGDePuVp6EpBktqSrcByH/A7skYSUpn7p9snVrL7C8D5qZzSAsNwXgJOSY+1IRvaQqpzK0kHp31rp+FJVTklZXuTDX9ZzBevRx9gnpktccopWG7695UN2G8U8J107O7AXht43BBCCCGEELZrKtFW/VMTxV9xw2ZjZlMk/Rp4UdIaYBxwNfCwpIVkDSf+zFjryvtY0lusm/eiMn8C/pyGh6wmm7C0TNIosqE7U4G3gDfz9hkETJT0ZqHJV8m+0P9O0lqgnNTQQTZ/x/9J+hUwopL6/AgYJOlsst4U5/PFxoXHyYbbTAU+yD1mZqsknQTcmhpTapHN7zGlinNfKWkcUJt1c5FcTTZnyUSyyVc3tEEKoFnavwz47gbs9yfgbklTgWlkdS9iasEQQgghhBBC2DSiYSRsVmZ2N3B3hc3rrSRjZldXuD+YrIfI59IKJ11YN99FZcdcSTbcpuJ2I/WcKPDY5cDlVZT5HPBcge0jKTB/SX79zexj4IQCmUZ59bqwkuOOJ5uDxGVmfSrZvgDoV2D71YXqU/ExM+uUbl5eIZ+f6ZN3ex7r5hhZCZxhZisldQb+DbzvnUsIIYQQQgghbCrRMBJqJElHAv8H3JyGh4SaoQEwPA1TEvBDM/PXWAshhBBCCCEA1NjhKluzaBgJNZKZ/RvYOX+bpK8DN1SIzjCz/ht7nDQfygsFHvqamc3f2HKrk6Q/Al+tsPkWM7trS9SnKmb2GdBrS9cjXbaw6wAAIABJREFUhBBCCCGEEHKiYSRsMyob3vIly5wP9KzOMqubmV2wpeuQT1KtKpZODiGEEEIIIYStSqxKE0JA0pmSJkqaIOleSZ0kDUvbXpDUMeVaSXpU0pj089W0/eq03yjg3rSizk2SJqcyLkq5/SW9KOkNSc+lVXdCCCGEEEIIxSop2bp/aqDoMRLCdi4t+XsFcIiZzUvLKN8N3G1md0saCNxKNmHrLWTzurycGkueA/ZIRXUHepvZCknnk0242tPMVktqnuYVuQ04wcw+lXQK8GvWrZZTUJvF09xzWFWnkZsZMuMgN9Ov5yw38/CYdm4GoHGDum7mo7X+asXfe/cyNzOky41u5uwjPnQzUxd2dDMAuzT5xM1MHO4/b02O6OZm+k0b5mbGzC7uOSnGqDmd3cwerRe6mc9Km7mZ2QvruZkD2892M4toxcsz27u5ozu+5WYemeo/J0tb+vXu1KHS1c43WJ+v+O+lqTP8/4R129Ef/Vha0tzNvD/HjXCh3eyHgMk9BriZ4+qPdTOvfna4m7nm8NFu5vVVh7iZgX38zxKAOmtXupn5tHIz39jb/7z51fBj3UzfA/3XyID9proZgOllXdzM0lX+e2CHuuVuZsbcOm5m9pwyNwNQp7b/XvrmYn8U7uwmfd3MqlVr3czclS3czLe6v+tmAP49Yzc3s6aIvwfv3tm/RqVFfOd7Z4Y/fVq3zsV9Tq4q9+eSWLLU3MwR+/p12rGe//vt/Qb+79y2ZcU9bz/s18nNfIL/+63rrv77pF4d/zWZqZlf6sOXF898CKEv8HBaPSa3as3BwP3p8XuB3un2kcDtksYDTwGNJeVaJZ4ysxV5ub/mhtSkMrsCPYChaf8roPBvO0nnSBoraexdj/2jGk81hG1PMY0iIYQQQgihctFjJISwIUqAg9ISyJ+TBLDM2VfAFDM72DuImQ0CBgEseXOo/2eQEEIIIYQQthPp/96hGkWPkRDCMODktAIPaSjNaODU9PjpwMh0+3ngotyOkiqbmHYocK6kWnllTgdaSTo4baudhvGEEEIIIYQQwhYTDSMhbOfMbArZXB8vSpoA/J6s8eMsSROB7wE/SvGLgV5pQtWpwHmVFHsH8AEwMZV5mpmtAk4CbkjbxgP+gPYQQgghhBBC2IRiKE0IATO7m2zC1Xzrza6W5iE5pcD2qyvcXw1ckn7yt48HDvuS1Q0hhBBCCCGEahMNIyGEEEIIIYQQQg2hGrok7tYsrmgIIYQQQgghhBC2W9EwEkIIIYQQQgghhO1WNIyEsIVJGizpJCdzraQjq/GYdSX9W9J4SadIOlTSlHS/naRHnP3vkNTdyYyQ1CvdnimpZXXVP4QQQgghhO2VSrRV/xR1DtI3JE2X9B9JPyvw+M3pu8l4SW9LWpT32Jq8x56qjmsac4yEUAOY2ZXVXOS+qdyeAJL+AvzWzO5Lj1fZUGNmP6jm+oQQQgghhBC2A5JKgT8CRwGzgTGSnjKzqbmMmf13Xv4i0veXZEXue0x1iYaRECoh6UzgUsCAicAvgTuBlsCnwFlm9oGkwcAKsjfrjsBA4EzgYOA1MxuQylsK/A04GpgLnGpmn1Y45pXAN4H6wGjgXDOzdIxnzOwRSTPJVpD5JlAbONnMplVyDs1TnXcFlgPnpGPfB7SSNB74M/Ad4OuSjgF+kY7VI31o3QB8A1gL/M3MbpM0ArjUzMZK+jNwQKrzI2Z2VRXX9FpggZn9Id3/NfCJmd1S2T7zm+xS2UOfq7V2lZtZvcaNMHpWRzdz0J4r/YKAUpmb+aystpuZ//Wz3cxuK/w6PTHRv47NmxTXwt+1qX+935+z1s30mzbMzbzXbb3Fkdaz99SX3cwO9Zu7GYBmDfxrOe2Tpm7msJ3mupnWjf1OVJ3eeMDPAI+0+Ymb+/esPdxMWZn/Rlm91u9selDHD93MlHlt3AzAR/P81+VHHy1zM8NqtXAzy1f4599l51I3M6f1t9wMQPkqv6wRa/33wGElI/1yyg91M03q+e/tyQv8z0mApSv918kRrSe7mZc+6eFmGjTwn7dJM/xrXdq5i5sBaFzH/5woX+sfT0X8nvhq50/cTJsOM9wMwPjV/neIWY38zqmri/j6sEMj//lvU2+em1lqO7gZgPp1/Wu5Q8lnbmb+Iv9z4tBuS9xMw3p+vSe9vdrNALRr4/9foeeu/muym95yM0tp5mZ2auFf63n1O7gZgGHTdnIzXdqVu5kTGg11M48uPqqoOoXN5kDgP2b2HoCkB4ATgKmV5L8LVPodozrEUJoQCpC0J3AF0NfM9gF+BNwG3G1mewNDgFvzdmlG1hDy38BTwM3AnsBeknL/E2kIjDWzPYEXKfzmvt3MDjCzHmQNDcdXUsV5ZrYfWaPGpVWcyjXAuFTnnwP3mNknwA+AkWbW08z+mur8UzM7vcL+55B97+qZd94V/cLMegF7A4dL2ruK+txJ1miEpBLgVLJGmi+QdI6ksZLG/v0B/4thCNuzYhpFQgghhLANKSnZqn/y/y+ffs6pcAbtgFl592enbeuRtDOwC5D/F7V6qdxXJfWrjksaPUZCKKwv8LCZzQMwswWSDga+nR6/F7gxL/906tkxCfjYzCYBSJpC1rAwnqzHxYMpfx/wWIHjHiHpMqAB0ByYAjxdIJfb9428OhXSGzgxncMwSS0kNa4iX9GRwF/MbHUqY0GBzHfSh10toA3QnayHzXrMbKak+ZL2BVqTNdrML5AbBAwCmPHuf/w/TYQQQgghhBC2Cvn/l68Gp5L1Ss/vHrizmX0oaVdgmKRJZvbulzlINIyEUD3K0r9r827n7lf2PvvCF35J9YA/Ab3MbJakq4F6zvHWVFH+JidpF7IeKweY2cI05KeyOufcAQwAdiLrQRJCCCGEEELYfnwI5I+5ap+2FXIqcEH+BjP7MP37Xhrivy/wpRpGYihNCIUNA06W1AI+n6tjNNkbE+B0wB/U/UUlrJvU9DSg4sQIuQaFeZIa4UyAWqSRZHVFUh+yITj+4Nh1hgLnSqqVyqg4UUNjYBmwWFJr4JgiynycbM6SA4DnNqAuIYQQQgghbPe29Koz1bAqzRigi6RdJNUh+4613uoykrqRTVnwSt62ZpLqptstga9S+dwkRYseIyEUYGZT0sSgL0paA4wDLgLukvRT0uSrG1jsMuBASVcAnwCnVDjmIkl/AyaTTZA65kueBsDVwJ2SJpJNvvr9Ddz/DmB3YKKkcrLJY2/Pq/MESeOAaWTjBEd5BZrZKknDgUUVusSFEEIIIYQQtnFmtlrShWR/JC0F7kzfv64lm5Mx10hyKvCAmeX3tN8D+KuktWR/eL4+fzWbjRUNIyFUwszuJlv9Jd96ywPkVp1Jt2cCPQo9lu5f4ux/Bdmkr1VlOuXdHgv0qeIcFgDrTUhkZiOAEd45pLlFLkk/+fv3KbRvFZnP65wmXT0IOLmyeocQQgghhBC2XWb2T+CfFbZdWeH+1QX2Gw3sVd31iYaREMJmI6k78AzwuJm9s6XrE0IIIYQQQk2T/Z0xVKdoGAlhMzGzRpuqbElnkS0pnG+UmV1QKL+lpG5uu27peoQQQgghhBBCTjSMhLANMLO7gLu2dD1CCCGEEEIIoaaJPjghFCBpsKSNWhVG0s+dxztJmrxxNdtyJDWV9EMnMzr920fSM5unZiGEEEIIIYSw8aLHSAjV7+fAb7Z0JYohqVaaYLUYTYEfAn+qrBwzO6RaKwiUU8fNlJXUczNLl/qn2XGnUjcz4b26bgagX4/33Mywjzu7mbdKd3Ezn630P8rXrDE38+kCKypHRz/SrrV/LcfMbudm9p5acVXr9X3YvbebqQPsMP5NN9ey7mI3M215WzdTDMNfzu6h1pf6Ba2Fr7Sf5Zf1ehs3s3Nb/7W0ZKVf72mz/Wt0UOdFbgZgRVkzN9Okif++3KWt/9quVcQSg6vX+uWMn++/bwH2bPGhm5m92B+F+RKHupm5C/z3ZOfO/mruLevDlE92dHMdmq9wM++W+yMrFyzxn5Nje33mZt54338d/eejerRqutbNHTLpZjfz3oED3My8siZu5t2FLdzMh7X9cwNYuMx/fzep29TNtK41183Uq+s/byX4C9NN+Mh/rQH0aT3FzSzDv96LF5e7mXEf+OXs2NQ/t1Wr/NcawKLFfm7SSv//Qc980N3NfGVfv5zDnxzgZgA+Pvt3bmbm+8vdzLe7+P+f+sOYI9yMSor9724N+Xpc3JK4YQNEj5GwTZB0pqSJkiZIujf1yhiWtr0gqWPKDZZ0q6TRkt7L9QpR5nZJ0yX9G9gxr+yZaY1sJPWSNCLdbiTpLkmT0nFOlHQ9UF/SeElDqqhyqaS/SZoi6XlJ9VOZIyT1SrdbSpqZbg+Q9JikZyW9I+nGvPqdLeltSa+nMm9P21tJelTSmPTz1bT96nSNRgH3VnI990zljU/n1gW4Huictv0u9QoZKekp0trhkpYWKOsASeMkdZbUUNKdqexxkk6o5PjnSBoraeyDD9xfxWUM1amoRpEaqphGkZqqmEaREKpLMY0iNVUxjSIhBF8xjSIhbG1qSJNYCJWTtCfZEreHmNk8Sc3Jltm928zuljQQuJV1y9a2AXoD3YCngEeA/kBXoDvQmuyL/p3OoX8JLDazvVI9mpnZo5IuNLOezr5dgO+a2X9Jegg4EbjP2acnsC9QBkyXdBuwJtVjP+AzYBgwIeVvAW42s5dTw9BzZOt+k86zt5lV9ie984BbzGyIpDpk64v/DOiROzdJfdJxe5jZjEKFSDoEuA04wcw+kPQbYJiZDZTUFHhd0r/NbFn+fmY2CBgE8Pa7H2y739ZDCCGEEEIIW1w0jIRtQV/gYTObB2BmCyQdDHw7PX4vcGNe/gkzWwtMldQ6bTsM+LuZrQHmSBpWxHGPBE7N3TGzhRtQ5xlmNj7dfgPoVMQ+L5jZYgBJU4GdgZbAi2a2IG1/GNg9r37dpc+72jWWlOuT/VQVjSIArwC/kNQeeMzM3skrJ9/rlTWKkDXCDAKONrM5advRwLck5cYH1CMbmPFWFXUJIYQQQgghJCqJgR/VLRpGwvaoLO92MQP0VrNu2Jk/+HLD67AGqF/EsSru471/S4CDzGxl/sbUwLGs4B6Jmd0v6TXgOOCfks4FCg3yrKqcj8jOYV8g1zAi4EQzm+7UPYQQQgghhBA2i2hqCtuCYcDJkloApKE0o1nXm+N0YKRTxkvAKZJKJbUB8mdxmgnsn26fmLd9KHBB7o6k3Oxn5ZJqb8R5VDxWMavijAEOl9RMUq0K9XseuCivft7wns9J2hV4z8xuBZ4E9iYbqrNDsWUAi8gaVn6bht1ANpznIqXWGUn7bkB5IYQQQgghhFDtomEk1HhmNgX4NfCipAnA78kaBM6SNBH4HvAjp5jHgXfI5ha5h2woSc41wC2SxsIXplC/DmgmaXI6bq4xZRAw0Zl8tTI3AedLGkc2TKZKZvYh2Qo4rwOjyBpWcstqXAz0SpOnTiWbN6RY3wEmSxoP9ADuMbP5wKh0vkXNqmVmHwPHA3+U9BXgV0BtsuszJd0PIYQQQgghFEkl2qp/aqIYShO2CWZ2N9mEq/n6FsgNqHC/UfrXgAsrKXsk6+btyN++FPh+ge2XA5dXUdeZZI0Nufs35d2eRtY7I+eKtH0wMDgvd3xe5n4zG5R6jDwOPJEy84BTChz/6srqlpe5nmwVmorbT6uwaUSFx3PXc0TuMTP7ANgzL3aud/wQQgghhBBC2Fyix0gINd/VqWfHZGAGqWEkhBBCCCGEEIIveoyEsImkOU9eKPDQ19KwlGphZpf6qcIkfR24ocLmGWbW/8vVKoQQQgghhLBJKPo3VLe4omGbI2mwpGImLi207883cr8fS2qQv83M5ptZTzPrCYwFTku339+YY1QXSUtzt83suVwd836qvVFEUk9Jx+bd7yPpkOo+TgghhBBCCCFsqGgYCeGLNqphBPgx0KDQA5JKzewHZjZ146u1YZTZmt7fPYFj8+73AaJhJIQQQgghhLDFxVCasMVJOhO4FDBgIvBL4E6yVVk+Bc4ysw8kDQaWAL2AnYDLzOyRtPTrbcBRwCxgVV7ZM4FeZjZPUi/gJjPrI6lR2qdXOu41wAFA/TRfxxQzO71AXRsCDwHtgVKyVVVaA22B4ZLmmdkRqVfGX4EjgQskXQdcamZj88pqCTwNXGdm/5D0U7LVYOoCj5vZVVVcs0uAgenuHWb2B0mdyJbDfY1syd9jqaR3iqSbgaOBucCpZvZpWs73L2QNPO+m8psDD5vZfmm/LsCDZrafpAOAW4CGQBnwNaAc+HO6rquBS8hWy7k2XdvewN/JVshZI+kM4KI0wW1+/c4BzgH40RV/5NiTflDZpQCgbcMFVT4O0HVX/+NubhEDnJruUNxM2y9+0NnNFDNp96dL6viZheZmWjWvvhnCl65p6GZmz13jZoqxQ/3mbqbF+DfdzGc99yvqeEtfm+xmmjde62YW+ItK0azecjdTt+VqNzN3ZQvWrvWf39IiXnCri3ja2jb+zM1Mm9HIzZSvLfUPBkyZvtLNHLiP/z7Zs8WHbub9pa3dTL1a5W5m2Sq/PgDvLG7jZlaU+W3c7ZsscTMLljZ2MyX4r23zP24AeGSo/9o993j/PdCwvv958/Rr/uttx1ZuhJkfFfc5+fuSy9zMsbbQzaxeW8xz67/fGtfyMwCza/kXYebCHdxM8x3937k92/vnX8v895JZcc9Jg7JFbmZePf/9vWOr2kUdz/ON5Q+5mcn1Ty6qrH06+9epmNdSWVk9NzN/sV/OXfsPdjP7LvPf/wCz3/vIzQz/uIebqVfP/2AqLy/yw6uGqKkrv2zNomEkbFGS9iRbeeWQ1HjRnGx1mbvN7G5JA4FbgX5plzZAb6Ab8BTwCNAf6Ap0J2ukmErWsFKVXwKLzWyvVI9mZvaopAvTcJfKfAOYY2bHpf2amNni1FBxRFoJBrLGgtfM7CcpV/G8W6f6X2FmQyUdDXQBDgQEPCXpMDN7qcA12x84C/hKyr4m6UVgYSrj+2b2ahXn0BAYa2b/LelK4CqyFXnuIWukeFHStcBVZvZjSYsl9TSz8em4d0mqAzwInGJmYyQ1BlaQLYtsZraXpG7A82Qr+lxJ1kB1YTqH+sDS/BV58pnZILJlj3l+wqpt6zdZCNWsmEaREEIIIYRQua2pq33YPvUl65EwD8DMFgAHA/enx+8lawjJecLM1qZhKbmm/8OAv5vZGjObAwwr4rhHAn/M3TEr4k87mUnAUZJukHSomS2uJLcGeLSSx2qTTcp6mZkNTduOTj/jgDfJGn66VLJ/b7IeJcvSksGPAYemx953GkUA1pI1agDcB/SW1ARoamYvpu13k11XgDuAsySVki3/ez9ZQ9RHZjYGwMyWmNnqVLf70rZpZD1W1lvqOIQQQgghhBC2FtFjJNQ0ZXm3i/kz6WrWNQD6fQgdZva2pP3IhqlcJ+kFM7u2QHSlmVXWKX018AbwdSDXECHgt2b21y9ZxWUbsY/XI+NRsl4lw4A3zGy+pLYbcZwQQgghhBDCl1US/RuqW1zRsKUNA05OS9uShtKMBk5Nj58OjKxk35yXgFMklUpqAxyR99hMsvk2AE7M2z4UuCB3R1KzdLNcUqUDTFODwHIzuw/4HZCbuOAzwB+YmzGy+Tu6Sbo8bXsOGJjmPkFSO0k7VrL/SKCfpAZpzpP++NcoXwmQW7XnNODl1PNloaRcz5PvkRptzGxlqt+fgbvS49OBNmmeESTtIKlWqsfpadvuQMeUrXh9NuR6hRBCCCGEEMImEw0jYYsysynAr4EXJU0Afg9cRDZ0YyLZF/QfOcU8DrxDNrfIPcAreY9dA9wiaSzZ8Jac64Bmkian4+YaUwYBEyUNqeRYewGvpwlar0rl5PZ7VtJw75wBUm+S7wJ9Jf3QzJ4nG6LyiqRJZHOnFGw4MLM3gcHA62QTrd5hZuOKOW6yDDhQ0mSyoUy5Hi/fB36XrnvPvO0AQ8iG4Dyf6rCKbFjNben6DSXrkfMnoCSdw4PAADMrA4YD3SWNl3QK2aSz/dP9QwkhhBBCCCGELSSG0oQtzszuJpvTIl/fArkBFe43Sv8a2eShhcoeSYE5LtLcHN8vsP1y4PKK2/Mef46s90TF7beRrXLzhbrl3e9ToN5lZMNpcttvIVvlxWVmvydrRMrfNhNwp+6uWLe87eOBgyrZrTdwV/7woDS/SKH8WQXKXkC26k++vb26hhBCCCGEEMKmFg0jIYQqSXoc6EyBxqoQQgghhBDC5lVxxcvw5UXDSAgFpDlPXijw0NfMbH5NqIOk14C6FTZ/z8wmbUg9zKz/huRDCCGEEEIIoSapUXOMSBos6SQ/WXDfn1dzXb4l6WdOZnQl2zf6PGoySf0kdc+7P0JSry1Zp8qY2Xwz61ngp5gGidHp305pHg8k9ZJ0a7rdR9Ihm7gOV5Mtg1xx3w1qFClQbsHXbv75hRBCCCGEEEJNsj31GPk58JvqKszMngKecjLul98tQVJpFUvJbkg5tcxs9Qbs0g94hmyS1M197M2m0PNuZmOBseluH2Ap2eo7RdmazxfWO78QQgghhBDCphLL9Va7TdowIulM4FKy5UknAr8E7gRaAp8CZ5nZB5IGA0uAXsBOwGVm9oiywVO3AUcBs4BVeWXPBHqZ2bzU6+AmM+uTlju9LZVlZKuSHADUTyuJTDGz0wvUtSHwENAeKAV+ZWYPVnGcAWn7hZJaA38Bdk3FnW9moyUtNbNGznnsTzaJZiNgHtkqHh8VcW0rO+YTQAeyFUJuMbNBKb8U+CtwJNkytS875fdM5TcA3gUGmtlCSSOA8WSTcf4d+N8C+3aiwvNMdl2/BRwu6QrWLZ17sqQ/AU2Bs81spKRS4HqyBoS6wB/N7K+S+gC/AhYC3SgwqWo69r/S+R0CfAicYGYrnHN6jWxlms/rUaDsEcA44FCgIXAm8D9kK9U8aGZXpNzSihOcprpfSjZJ7HnAGklnkK3A0xS4AqgDzAdON7OPU6+PzmTP8QeS2gEXp0lSkfQycIGZTahY12QfSa+k5+FGM/tbei3eCBxD9v64Lr3O+5C9Vxal83kImES2IlB9oJ+ZvZvKPTL1lmoMXGJmz+TOz8yOT/XumOrdEfiDmeV6y/wSOIPsdTELeMPMbipwrc8BzgH48S9v57iTflDJKWZ2XjS+yscByloe6Gbe/aCJmym2o91+uyxzMx1qz3Izc9a0dTO7tPQ/yl97u4GbWblyrZsB6NCi4Py9X/DdXjPczKg5nd1MswYr3UzLuovdzNLXJrsZAPuKO38xe7z1kpvpuMTvnPXeDj3dTPv6C9wMQJPlH7uZt5sd7GZWlfvHalnbr9NuHf3VuCXzDwZ8NGuRm/lP88pWN19njxb+e/eDeXXczD7tl7sZo7ix37MW1HczCxb716ll+4VuZtjchm6mdwf//VZWXty5derkvwZ2XPW2mynRTm7mBwe/42beXrmrmymhuNfkrvU/8Msq4u9Pqucfb1m5/xp5c157NwNQv47/Gd+x2Wdupu3cN/06lfijcLtpvf9qrWfp8vX+q1fQytaN3Uwrm+tmZn/ov2577+//zh1d2z//RVPL3AzAhHf910Dn9v5rqW8P/3Ni6sfN3Uxz/1LTsdEnfggorVXqZg5p+56badngP27mqle+WlSdsq9kYXu0yRpGJO1J9mXvkNSo0Jxs5ZG7zexuSQOBW8l6EQC0Ifuy3Y2sJ8YjQH+gK9AdaE3W0+BO59C/BBab2V6pHs3M7FFJF5pZVf8L/QYwx8yOS/sV8w0p51bgRTPrn77UV3xHFTwPSbXJGkxOMLNP0zKmvwYGfoljDjSzBZLqA2MkPZqGXjQEXjOznxR5TvcAF5nZi5KuJVua9sfpsTpmVtUQmNuo8DybWT9JTwHPmNkj8PmkQbXM7EBJx6ZjHPn/7J13vJTF9f/fHzpIEQRplosogkqRZgODisQYjRh7NIoajUls8afRqFE0GhNNsURNiFFssaCiqPlagrSg9CoqKgG7KEWkl8v5/TGzsiy7Owtcmpz363Vf99nn+czMmdl+9sw5wLmE+7CLpOrASEmvxL47AvuZWbFvXXsBp5nZeZKeJDhhHknMKZ8d+VhhZp0lXQI8B3QC5gEzJP0ltc3FzGZJ+huwKOMQkFQfONDMTNJPgF8BmftpH6BbdOycBfQBLpXUCqhRxCkCoerLgYT7fqKkF4GDCKV42xMcJmMlZb7ltQfaxPn8j1AGuGuc60VZa1UGdCU4bYZI2jPP2K0JjqY6wHRJ98ZxT4jjVAUmAOMLrFM/Qglk/jNleWmfVB1nO6UUp4jjOI7jOI5TmE0ZMXI4IcfBHAjlOiUdBPwwXn+Y8Mt1hmfNbDXwVoyGADgUeCxu+/hU0msljNsTODVzw8zS7tHAVOBPkv5A+PKedmOv4XBC9ADR1tyfLwvNY29CedVXo5OgMpCMFkmMebGkjJt6V4KTYC5QDjxdSsfRKbSjmQ2Lpx4EBmRJnkh0Uex+zuWZ+H884Qs3QC+gXVYui3qEeawAxiScIgAzM1EVmX5LmFM+O/KR2T41lRB99BmApP8R1ntDErPuAjwhqSkhaiR7foPMbGk8HgD8RtIVBOdZ/0S/z8W2SyUNITgzurHmsThb0jBCRNXXwNis+cwAMs6oqQQnR4Yn43P1vTjv1nnGfjGWI14u6QuCQ/CQaNMyYJmk5xP2O47jOI7jOI6Tgyp5VZqKZmvKMZIdT1bKPb2KNTHtNTZ2cDN7V1JH4GjgJkmDzezGih4nBxG+XKfjm0vpLGxn6AkcZGZL4taPjM3LKiKvSCS9R6B0Mvd7OWsejyJEdrycLYzzK2Xs7MdSOWEryHrbIekBYH9CJNHRObrVOeOsZsOfT3cBfzazQXGOfbOufTPfeJ++ChwHnEyIVilGbqRFKvIidz7Zc83QwLzwAAAgAElEQVSeWyn95t4HW9NrjeM4juM4juM4zjdsyqwtrxHyR+wEELfSvM6aaI7TgVRUxnDgFEmV46/p2b9az2LNF8MTss6/SsihQRy3fjxcGbeu5EVSM2CJmT0C3EbYslFsnGwGAz+L/VTOsw2n0DymA41iJA2SqsYtSEi6UNKFhewtMGY9YH78At2asI2i0HxvyYosWQszWwDMl9Q9nvoxMCyftgCF7ueFhK0VKV4Gfpa5vyS1ijlgNpgNmZOZnR0ruRxdTLcB5K5DPUIuFICzEm3vI2yjGltCNNRxkmrE52APYCzhvsg8FhsRopnGrKf9J0mqJCmT/2R6ie1GAsdGm2oDx6znuI7jOI7jOI7jOBXOJnOMmNk0Qr6MYZImExKMXgScLWkK4YvpJYluBgLvEXJyPAS8kXXtBuAOSeMIv0hnuAmoL+nNOG7GCdEPmCLp0QJjtQXGKCRovT72U2ycbC4BDpM0lbAVY5+c63nnYWYrgBOBP0RbJxEShkLYnlBsW0a+MV8Cqkh6m5C8dFSR9m2BYlmozgJui/dVB+DGItpcCt3PjwNXSJoYv1QX4j7CWk1QKHf7dyom4mBj5lSRPA8cL2lSdNT0BQZIGk9IwFsQMxtP2PbyQAnjTAGGEB4HvzWzTwmPxSnAZILz8ldmJWQjW5sPCc6U/wMuiFtjkpjZWMJWpCmx7VTW3XbmOI7jOI7jOE4xVGnr/tsG2aTh7Wb2ICGXQzaH59H1ybldO/43QhWPfH2PIE9VEjNbRJ5f3c3sSuDKIra+TIhUKHWc/sQcD2Y2m7C9IVdTyjwmEX61z6UMuKyIvXnHJFQbyafPTQhb1czeyKfNsmudiBMz61GoTZbmA/LfzyNZ22nUI+vaHGJuj5i/4ur4l83Q+Fds7FmEvC2Z23/MOk7OKduOhG4tW3KuZe73b2zJ1pvZu4TEqNk8l2e8vrnnYmRTJdbk/8hLvrbxvAFXxL/s89/YF2/3yHct97laQNM351p2mY8/mllfSbUIkVR5k686juM4juM4juNsLrZNd852gJkdEyNKNlX/391UfTubBoXy16OBa6LzaFukX4zKmgA8bWbpmn+O4ziO4ziO4zibkO0uIWLMtzA4z6UjUqVWtwSSrgFOyjk9wMxurqD+7yZUC8nmDjNLbtXY1LYlxt6m7seKwMweImzF+gZJZ7PulrSRZvYLtkLM7Edb2gbHcRzHcRzH2abxqjQVznbnGIlfmjtsaTtKJToZNpmjYWO+QG9q2xJjb1X3o6TbCBWN/g3MICTyfah4q5L7vhToZ2ZLcq9FB1Yp+Ua2GJKuNrPfbWk7HMdxHMdxHMdx8rHdOUYcZxNxPtCgAksiZ3Mp8AiwjmOkIpBUxcxWbYJ+RSi9fDXgjhHHcRzHcRzHcbZK3DHibPfE3B2XA0aomPIb4H6gIfAlcLaZfSipP6EiTGegCaGiy1OSBgG1gfGSbgHaAIvM7I+SLgYuAFYBb5nZqbFU7V2xHwNuMLOnJd0LdAFqAk+Z2fWxfTNgiKQ5ZnaYpF6EaknVCdEpZ8ekw/nmNgt4kpCUdynwIzN7P85lGbA/MFLSTXHOexAcMOeb2RRJfYGWwJ5xPW41s3/Evq8ATo52DIz2lhGSGI8mlLkeA9SMeUWmRXvnmdntsY+bgS/M7I4cu88nOJv4xTX3cNQPzyt6H35cv23R6wDPDEtXfK5R05KavZqvTGoApn6Um+94XUYva53U/Lxm/6Tmls/PSGqaNk6HXC5enJ4/wKfzqyc1n321Z1LTpnGq4jS888WOac2SZklNg7qlpeVp8/bwpObDNvnyZa/NnAmTkpqVSyonNSM/2SmpgRbstnN6fu13SxeBGvBa+mNByybp9R49cWlSc0Cv0gpi/fS09HgfzEs/vqtpeVIzd356HV+dk646f+kuzyY1AGVN90tqhtveSc0jI9NrVLZr+vE2Z2WDpKZX0ylJDcCHTXZPaj5Q+nXie43SFeVf/KRrUvPdJunn5I5jX0hqAAbve1VSM+OT9Hp/tSD9m0SVKul0gLXTb28ALC7h55Uee09Mar5onH7P/fqDtN13zvl+UnNq5xlJDcAjk9LPpTZl6ef3IR3TY03/MH3fHtom78eytahZq1Z6MGDnndJrOXJ8+s7dp1da02Kn9Pv7pA/Sn2/YOS0BuP3M9PvAqlXVkppBS3olNR3b+dYTpzjuGHG2ayTtC1wLHGxmcyQ1IFRSetDMHpR0DnAn0Ds2aQp0I5RTHkRwYPxA0iIz6xD77Js1xFVACzNbLinzDe83wAIzaxv19eP5a8xsnqTKwGBJ7czsTkmXAYdF+xpGe3ua2WJJVxKqFxUrPbzAzNpGB9DtwDHx/C5x3uWS7gImmllvSYcTcplktiq1I1Tz2QGYKOlFQrWdvYCuhKiQQZIOJZTy3Qs4y8xGxfmdlLU2ZcAzwO2SKgGnxj7Wwsz6EUps88KEVaV9W3ec7ZRSnCKO4ziO43x70DZaEndrxh0jzvbO4YSEsXMAomPiIOCH8frDwK1Z+mdjRZi3JDUuof8pwKOSngUyPyH2JDgEiGNmfjY/OUZKVCE4YPaJ7bM5MJ4fGXaqUA0oWHY58ljW/79knR+QtfWnG3BCtOc1STtJqhuvPWdmS4GlkoYQHBndgF5A5qel2gSHyIfABxmnSC5mNkvSXEn7A40JzphvZbJcx3Ecx3Ecx3G2Ddwx4jjrR3Ysdikxed8HDgWOBa6RlDf+VFILwnaeLmY2P251qZFPCrxqZqeth81W4HjxBrTP3BZwi5n9fS3jQkRIqt/7gD6E7Uj3l2iD4ziO4ziO4zjOJsFjcJztndeAk2L5X+JWmtdZE9FxOjBiQzqOW0V2NbMhwJVAPUJkxavAL7J09YG6BIfCghiJ8r2srhYCmU3to4BDpLAxW9IOklolTDkl63+h6JIRhLkiqQcwx8y+jteOk1QjrlEPYCwhj8g5MV8KkppLKrSjdKWkqlm3BwJHEfKpvJyw3XEcx3Ecx3GcbCpp6/7bBvGIEWe7xsymxQSgwySVE7aGXAQ8EJOLfgmcvYHdVwYekVSPEGFxp5l9FROd3i3pTaCckHz1GUkTgXeAj4CRWf30A16S9GlMvtoHeExSJkPWtcC7ReyoL2kKIdqlUKRJX+D+qFsCnJV1bQowhJB89bdm9inwqaQ2wBtxS88i4Iw4n1z6AVMkTTCz081sRdyS89UmquLjOI7jOI7jOI5TMu4YcbZ7zOxBQsLVbA7Po+uTc7t2geO+WbJuefpZxNqOh7z9Z52/i1DFJnP7NUK0RancZmZXFhvLzOaxJsFsLlPM7Mw8dt0B3JFHv1+O7kpCxAzwTSTNgcBJpRjvOI7jOI7jOI6zKXHHiOM4mw1J+wAvEMr7vrel7XEcx3Ecx3GcbQ1V8owYFY07RhznW4CkgUCLnNNXmlnZxvSbE/2y0ZjZW8AeFdmn4ziO4ziO4zjOxuCuJme7RdIPJF0Vj3vHaIbMtRsl9SzStrOkOzeHnaVgZsebWQdCSeBHzKyDmXliU8dxHMdxHMdxnAQeMeJsl0iqYmaDgEHxVG/CFo+3AMzsumLtzWwcMG6TGplFtHfV5hrPcRzHcRzHcZytFG2blV+2Ztwx4nxrkXQmcDlghMoq5cAyYH9gZKzA0hn4F/AD4DuSrgVOAH4DvGBmT0nqQkgyugOhsssRQCfgcjM7RtK/gWZx2BbAxcAjwO8J5W2rA3eb2d8L2CngVkKJXgNuMrMnYtnc3wLzgdZA3rK8kq4hJHP9glDRZnw83xK4G2hEqDRznpm9I6k/8HWcexPgV3Gexey43MyOif3+FRhnZv0lzSIkrj0WqAqcFMeoTUgY2zn2dYOZPS2pF3BDXJMZwNkxGW1Ben52X7HLAEy/+l9JzRW39E1qXlvZI6lZsaq0N6LTGv0nqak+56Ok5t0W309qLm38elIzqVLXpGbu/GpJDcDxO7yU1Cyou0tSs7By/aTm0Cafl2RTink0LEm329dTk5o5EyYlNUs6dkhqjnj+iqSmW730GrEcZjdpn5RNX7hbUnPz7venx3vn66SkzuE/TWoafTIxPRbw50nNkpoWuRsJ81Cv3uykZqf66Z1+xzYbn9R8Xi19/wM0WJh+Ddhr5yZJzTEjrkpq/m+Pe5KaZreni7A93POppAagXp10UPIxz6dzcD93/ICkZsFCS2pq1F+Q1Pxnn/Q6AnSplX6d2POhK5Oa3X9waFKzeuGypGZO5x8nNQA7j3o6qVm1Mv3YXfbrC5Oa5le/mNQc8egJSc0H+z6R1ACc3XpsUjPjnIuSmpcvGpnUtCrh9eajBXWTmlUrV6Q7Ar7TfHpSc/LC15KaCSvOSGpar56S1DRstWtSU/++a5IagEvKb0pqHjhwYFKzR5v0nTJ7Ya2SbApFJZ3tEd9K43wrkbQvoYzt4WbWHrgkXtoFONjMLstozex1QuTIFXELyoysfqoBTwCXxH56AkuzxzKzo+M2lnOBDwjbWc4FFphZF0IFmfMkFXrV/iHQAcj0f5ukpvFaxzh2IadIJ+DU2P5o1q5W0w+4yMw6ERxE2Z+KmxIq5hxDcOCk7CjGHDPrCNwbx4HgWFpgZm3NrB3wmqSGhPukZ9SPAy7L16Gk8yWNkzTuny+NKMEEx9l+KcUp4jiO4ziO4xTGI0acbyuHAwPMbA6EcrQhIIIBZla+Hv3sDXxmZmNjP18DKCd8LX7pfxg42cwWxMiIdpJOjJJ6wF7AzDxjdAMei3bNljSM4OD4GhhjZvnaZOhOqPCyJNoxKP6vDRwMDMiytXpWu2fNbDXwlqTGJdhRjGfi//EE5woEx8qpGYGZzZd0DLAPIVoHoBrwRr4OzawfwbHDshf/lv4p0HEcx3Ecx3G2F7wqTYXjjhFne2NxRXcoqTLwOHCjmb2ZOU2I1tjYBKgbam8l4KsYyZKP5VnHqb0hq1g7uqxGgb7KKf6aIuBVMzstMZ7jOI7jOI7jOM5mw11NzreV14CTJO0EIKlBQr8QqJPn/HSgacwzgqQ6knK//P8emGJmj2edexn4maSqsV0rSTsUGHsEcIqkypIaAYcCYxL2ZhgO9JZUU1IdQq6PTGTLTEknxfElKRVvX8iOD4B9JFWXtCMhx0qKV4FfZG5Iqg+MAg6RtGc8t4OkvFuEHMdxHMdxHMdxNhceMeJ8KzGzaZJuBoZJKgdSWf4eB/4h6WIgs/0FM1sh6RTgLkk1CflFcsv4Xg5Mk5TJyHgdcB9QBkyISU2/JFS+ycdA4CBgMiFR6a/M7HNJrUuY5wRJT8S2XwDZ2cdOB+6NCWWrxjlOLtJdXjsAJD0JvEnYClRKxsSbgLslvUmIJLnBzJ6R1Ad4TFJmW8+1wLsl9Oc4juM4juM4DnhVmk2AO0acby1m9iChYkqh6/2B/vF4JCH/RYY+WbqxwIE5zYfGP8ys0CvT1fEvZacBV8S/7PPfjJFofzNwc57zM4Gj8pzvk3O7djE74rVfAb/Kc74s63gcoQoPsdLMWXn0r7F2gljHcRzHcRzHcZwtim+lcRzHcRzHcRzHcRxnu8UjRhxnMyGpLaFyTTbLzeyAEtruBAzOc+kIM5tbEfY5juM4juM4juNsj7hjxHE2E2Y2FShUJSbVdu6GtnUcx3Ecx3Ec59uDvFxvheMr6jgVhKS+ki4vcr2RpNGSJkrqvjlt25Sk5u04juM4juM4jrM14xEjjrP5OAKYamY/2ZyDSqpiZqs255gVyZetDk1q9r6selIzssrBSc2YcSuSmkM7VU5qACqvXJrUvNvi+0nNp4t3TGrq1m6a1LRa/X5Sc9/kVFXrwJwueyY1HyxtntR8PL9GUtO4bsOkxkhnZq9fY0lSA/C/OunArJVL0o+BI55fJ4fxOgw+9rakpuukh5Ka2svmMrdGer3HTEv/FrJjp9OSmsL5ptdQvdLKpObrxnsnNQDl5auTmtWW7uehGbk5tPP0U8JYi8vSz8n55fXTBgGfVmuS1Lw0qmpS0/rok5KaLz9O21P5shuSmtWTSlhs4P3/pZ9zNS/4ZVLz9Yz0eDs3SD8mB879TlLTrEH6PQBgprVMavY/+btJjTVM3//LG+6e1Mxele4HYPVBJyc1pTx2W11+UVKzovb8pKbxdzonNR+qtMfbl9V3TWra3XpZUvPoxPR79w61aic1+7YoT2oWLliW1ACsVvo9Z3X9nZOaFeXpr32f12iR1Ax9N/2Zo9dPfpvUADR/Jf0eP2mfPknNnEW1kpo3S3gtATi+a0ky51uIR4w4zkYg6RpJ70r6L7B3PNdS0kuSxksaIam1pA7ArcBxkiZJ+oWk27P6OU/SXwqMUSbpbUn/kDRN0iuxdDCSOkgaJWmKpIGS6sfzQyXdLmkccImk/pLujdr/Seoh6f7Yb//YpnLUvSlpqqT0J9Z1bT1P0lhJkyU9LalW7HemAjtKKpd0aNQPl7RXnn7OlzRO0rhHH39yfc1wnO2KUpwijuM4juN8i1ClrftvG2TbtNpxtgIkdQJOJeT+OJo1ZWj7AReZWSfgcuAeM5sEXAc8YWYdCGWEj5WU+SnwbOD+IsPtBdxtZvsCXwEnxPMPAVeaWTtgKnB9VptqZtbZzP4Ub9cHDgJ+CQwC/gLsC7SNjpsOQHMz28/M2gIPrPeiwDNm1sXM2gNvA+eaWTkwnVAOuRswAeguqTqwq5m9l9uJmfWLtnc+/dT0L1yO4ziO4ziO4zgbim+lcZwNpzsw0MyWAEgaBNQADgYGSN+E9q6zz8PMFkl6DThG0ttA1ZictRAzo3MFYDxQJqkesKOZDYvnHwQGZLV5IqeP583MJE0FZmfGkzQNKAOGAXtIugt4EXgluQLrsp+km4AdgdrAy/H8COBQoAVwC3BeHG/sBozhOI7jOI7jOI5TYbhjxHEqlkrAVzEqJMV9wNXAO6SjM5ZnHZcDNUvof3GBPlbn9LcaqGJm8yW1B74LXACcDJxTwjjZ9Ad6m9lkSX2AHvH8cOBnQDNC5MwV8dqI9ezfcRzHcRzHcbZvKqVzKznrh2+lcZwNZzjQW1JNSXWAY4ElwExJJwHEvBrt8zU2s9HArsCPgMfWd3AzWwDMz6pw82NCFMYGIakhUMnMngauBTrG8xdKurDEbuoAn8UtQqdnnR9DiKRZbWbLgEnATwlr6DiO4ziO4ziOs8XwiBHH2UDMbIKkJ4DJwBes2RZyOnCvpGuBqsDjUZOPJ4EOZpZO356fs4C/SaoF/I+Qq2RDaQ48IH2TMenX8X9rYGSJffwGGA18Gf/XATCz5ZI+AkZF3QjgNEJeFMdxHMdxHMdxnC2GO0YcZyMws5uBm/NcOiqPtj9hq0k23QhJUIuNMQvYL+v2H7OOJwHr1KA0sx45t/sU6a9PlrRjHhPKgII17sysb9bxvcC9BXTds47/BfyrUJ+O4ziO4ziO4+RH22jll60ZX1HH2QLEsrXvAkvNbPCWtqcYZnaMma3Y0nY4juM4juM4juNsCjxixHG2AGb2FdAq+5yknYB8TpIjzGzuZjGsCJKuAU7KOT0gRs04juM4juM4juNsk7hjZCtFUl9gUfa2iS1oSwegmZn9ez3blQEHx20TmwRJFwBLzOwhSf2BF8zsKUn3AX82s7ckXW1mv9tUNlQU0fmRrGaT/diQdCMw3Mz+sxnsK7RtyHEcx3Ecx3GczYVXpalw3DHilEIHoDOwjmNEUhUzW1WgXRmh4somc4yY2d8KnP9J1s2rgfVyjEiqbGblG2Pb5ujTzK6ryP62BInHEHUWf5HuZNHXScnXS6smNY0apXcXvv0hHNpmQVpH96SmmX2U1CyrUT2pqblyYVIzfMH+SU3v4+D9Dy2pW2Lp++TDuemK0l13+TipKRv/eFLzZOPLk5rPqcbuDZckdbvUnJfUjPxkp6SmW736SU3XSQ8lNWM6nJnUAJS/8VZSs1vzyknNrHl1k5rOjWclNe8vbJ7UrK5ZltQA1K1XI6n56quVSU2HNumPPIuWpl8D5q5K3/8A9aukc2rPW9osqWnVolpSU+PdcUlNh/3WSUe1Dqsqpcf6Ucf3eWXW3kmdWfq1q8Yb6d9bqu9ycFIze87qpKYs/ZBk0fIqLFuR/rJRs2rBt6xv+LjjD5OaqiXsUpWl51al8FvoWpSTfg1YXp5+ryyvmn59/2JpvaSmVZP0nTL76/TzH6ByvfR4u1dL91WnTvpx+6N930xq+k/aN6lpvmsdli9P37+jPk/P7ZCd06+BB3z0VFKzoNl+Sc3XC3dOap4avws/2W98Urd8efq9shQOG/mrpObdXW+rkLGcby+eY2QrQtI1kt6V9F9g73iupaSXJI2XNEJS63i+v6R7JY2S9D9JPSTdL+ntGDmR6fM0SVMlvSnpD1nnF0m6WdLk2EfjeP6kqJ0sabikasCNwCmSJkk6RVJfSQ9LGgk8LKks2jYh/mU+xfwe6B7b/VJSZUm3SRoraYqknxZZix6Shkl6Ls7v95JOlzQmzqdl1PWVtM63IklDJXWW9HugZrTh0Xjt2bie0ySdn7Mmf5I0GbhG0rNZ146UNLCIvcXWOdPnQQXazpJ0a2w/RtKe8XyZpNfiWg2WtFuetv0lnRiPu0h6Pd53YyTV2YA1Hy7pRUnTJf0tU6Em3/ziY+XP8fgSSf+Lx3vExwaSOsX7cbyklyU1zbp/bpc0Drgkjy3nSxonaVz/p58vZPIWoRSnyLZKKU6RbZVSnCLbKqU4RZzNSylOkW2VUpwi2yqlOEUcp6IoxSmyrVKKU8RxtjbcMbKVIKkTcCohOuNooEu81A+4yMw6AZcD92Q1q0/4sv1LYBChusm+QFtJHSQ1A/4AHB777SKpd2y7AzDKzNoDw4Hz4vnrgO/G8z+ISTevA54wsw5m9kTU7QP0NLPTCKVqjzSzjsApwJ1RcxUwIrb7C3AusMDMusT5nSepRZFlaQ9cALQBfgy0MrOuwH3ARYklBcDMriIkOO1gZqfH0+fE9ewMXKyQ2yOzJqPj3H8LtJbUKF47G7g/3xglrPNoM2tvZv8tYuoCM2sL/BW4PZ67C3jQzNoBj7JmXfPZUA14Argk2t8TWMr6r3lXwtruA7QEflhkfiPgm7CI7sBcSc3j8XBJVeMcTozrfT9rb8WpZmadzexPuUaYWb94rXOfE44tYq7jOI7jOI7jOM7G4Vtpth66AwPNbAmApEFADeBgYID0za8Y2TF+z5uZSZoKzDazqbHtNMI2lt2BoWb2ZTz/KHAo8CywAngh9jMeODIejwT6S3oSeKaIvYPMbGk8rgr8VSEXSTk5SUWz6AW0y0Q4APWAvYCZBfRjzeyzaPsM4JV4fipwWBHbUlws6fh4vGu0YW60/WmAuK4PA2dIeoDggCoU096Fwuv8TZ8JHsv6nynfexCQicV9GLi1SPu9gc/MbGy0/+toy/qu+Rgzy0R+PEYoJ7wy3/zM7FlJtSXVIazjv+K8uxMeO3sTygK/Gh+/lYHPssZ6AsdxHMdxHMdx1g8v11vhuGNk66YS8JWZFUrIuTz+X511nLldhfCFthArzSwTN18e9ZjZBZIOAL4PjI+RLPlYnHX8S2A2IcKjErCsQBsRol9eLmJXNrlzyp7vBj12JfUgRFMcZGZLJA0lOKAAluXkAHkAeJ4wnwHF8mAUIbfPQliB441lfdc8d+yULa8TommmEyJIziE4dP4fsBswzczybiFi7ceQ4ziO4ziO4zjOFsFdTVsPw4HekmrGX+CPBZYAMyWdBKBA+/XocwzwHUkNJVUGTgOGFWsgqaWZjY5JPb8kRAIsBOoUaVaPEK2wmrDlJZPdK7fdy8DP4hYLJLWStMN6zGdDWZkZM9o6PzpFWgMFs9GZ2afAp8C1BCdJIdZ7nfNwStb/N+Lx64TtVQCnExwPhZgONJXUBSDmF6nC+q95V0ktYm6RU4D/JuY3grDFazgwkRDJs9zMFkSbGkk6KI5dVVI6G5njOI7jOI7jOM5mxCNGthLMbIKkJ4DJhJwdY+Ol04F7JV1L2LLyeNSU0udnkq4ChhAiB140s+cSzW6TtFfUD45jfQhcJWkScEueNvcAT0s6E3iJNZEAU4DymHi0P3AHYYvPBIW9FV8CvdfpreLpB0yRNIEQ0XCBpLcJX9xHJdo+CjQys7cLCTZwnXOpL2kKISrmtHjuIuABSVcQ1ursIjaskHQKcJekmoT8Ij0J+VjKKH3NxxLynOwZ5zPQzFYXmd8IgvNsuJmVS/oIeCfLphOBOyXVI7ze3A5MW491cRzHcRzHcRwnG3my6IrGHSNbEWZ2M2snp8xwVB5tn6zjWYRcDvmuPcaa/BXZ7WtnHT8FPBWP89WXm8eaZLD57H4PaJd16sp4fiUhYWc2V8e/opjZUGBo1u0e+a6ZWd+s830K6K/M2BT5XoExa+c53Q34Rwn2Jtc5wW3Rzuy2H7Du+hWb81jyR8CUtOaRr83smDxjFprfDIKzJHO7V871SYS8I7ntepRoj+M4juM4juM4zibFHSOOUwBJ4wnRL/9vS9viOI7jOI7jOI7jbBrcMeJsUSS1JVRcyWa5mR2wJezJJpaYXQtJo1m7MhDAjzMVgYohaSCQWyr3SjMr22AjN4DEmg/dnLY4juM4juM4jrOeVPJUoRWNO0acLUp0KBSqurNJkNQXWGRmf1zfthvjsDGz43PPSeog6Wgz+/f69CWpDDjYzP61AXZsljWPFX8uN7NxkmYBnc1szqYe13Ecx3Ecx3EcZ31wV5PjbFk6AEfnuxCryhSiDPjRpjCohLEzGsXqNY7jOI7jOI7jONssHjHibBdIugY4i1Dx5yNgvKSWwN1AI0Jp5PPM7B1J/QlVXfYHdiZUsjkTOAgYnUl4Kuk0QlLTTKWWK+P5RYQKPMfEfo4zs9mx7PL1QDmwgFA15kagpqRuhIo/bYCWwB7Ah5J+Tdj2kimxe6GZvQ78HmgTKwU9CNwZz/UgbPW528z+Xt42SzAAACAASURBVGAtBNxKSEJrwE1m9oSkHsBvgflAa6BVnrZlhBLAo4FOwNGxYk0XoCbwlJldX+R+uBGYZ2a3x9s3A1+Y2R05uvOB8wEuu+4ujjnx3EJdAlDWfpei1wFWfZnO3l27VlrzysRilavXcESHRUnNM+/vl9TsVC891twd2iU1y1em57ZiRXl6MKCuzU9qejX+PKl5Ydb+Sc24pukUPwc0+yip+XRJw6QGoN6S2UnNbjvvntTMrp+urL6cGklN+RtvJTUAlQ/aJy16dXpSsqKEx8mclQ2Smq+WVE1qulZ6M6kBqF69YFX1b2iyc3q8GlVWJjUz56fn36x+zaRmyapqSQ1A1cqrk5oVq9L9TNv/J0nNlPfSdjfaO/36tniJpQ0C2uRuHM3D2/XSz++an6T7OWfO75KaVyv/OqlZWam0Kg+dFg1OauZWX+ctdB0+WdksqalaKf26PGNuCW8UwB4N0h/7q1dOP0+W1topqXnnf+nnQNNWeX8XWguVGGe6uoSH5Wc7p1+Xq76X/r3n6ffbJjVtWqSf22/PLO23pUZ1ViQ1n6xqntSMq713UrNiXvo50LhhWvNFtV2TGoBq1SonNa1WTkxq+u2eDgKvUdrL8raD/zZZ4bhjxPnWI6kTcCohOqMKMAEYTyjje4GZvSfpAELZ4UwVmPoER8gPgEHAIcBPgLGSOhAcLH8gOAfmA69I6m1mzxKcGKPM7BpJtwLnATcB1wHfNbNPJO0Yy9leR9hicmG0tS+wD9DNzJZKqgUcaWbLYhnlx4DOwFWEbSrHxHbnAwvMrIuk6sBISa+Y2cw8S/LDuBbtgYZxTsPjtY7AfgXaZdgLOMvMRsWxrzGzeZIqA4MltTOzKQXa3g88A9weo01OBbrmisysH+H+YcjUpaV9Cnec7ZSSnCKO4ziO4zhOQdwx4mwPdAcGmtkSAEmDgBrAwcAArakDnp1U9XkzM0lTgdmZ5KqSphG2sewODDWzL+P5RwllaZ8FVgAvxH7GA0fG45FAf0lPEpwDhRhkZkvjcVXgr9EZU06eKI5IL6CdpBPj7XoEB0Y+B0c34DEzKwdmSxpGiPj4GhiTcIoAfJBxikROjo6ZKkBTgmMnr2PEzGZJmitpf6AxMNHM5ibGcxzHcRzHcRzH2WS4Y8TZXqkEfGVmhZKQLo//V2cdZ25XAYrFmq40s0yUQ3nUY2YXxMiU7xO28qxT9SayOOv4l8BsQnRHJWBZgTYCLjKzl4vYVQqL05I1GkktgMuBLmY2P25DSu0PuA/oAzQhRJA4juM4juM4jlMqJW79c0rHNyc52wPDgd6SakqqAxxLyCkyM+b9yCQSTW8+XcMY4DuSGsYtJKcBw4o1kNTSzEab2XXAl8CuwEKg2KbuesBnZrYa+DGQ2YyZ2+5l4GeSqsaxWknagfyMAE6RVFlSI0Kky5hithehLsFRskBSY0LekhQDgaMIUSob68hxHMdxHMdxHMfZKDxixPnWY2YTJD0BTCbkBhkbL50O3CvpWsKWlcejppQ+P4tJR4ewJvnqc4lmt8U8IQIGx7E+BK6KSVRvydPmHuBpSWcCL7EmWmMKUC5pMtCfkOy1DJgQk6t+CfQuYMdAQv6UyYTkq78ys88ltU5OPAczmyxpIvAOIantyBLarJA0hBCxU1q2T8dxHMdxHMdxnE2EO0ac7QIzuxm4Oc+lo/Jo+2QdzwL2K3DtMUIy1Nz2tbOOnwKeisc/zDP+PELkRCG73wOyS45cGc+vZE2i2AxXx7+ixG0+V8S/7PNDgaGJtrPIWo94rk8BbY+s47LMcUy6eiBwUspWx3Ecx3Ecx3GcTY07RhzH2WxI2oeQmHZgdPo4juM4juM4jrM+eLneCscdI47zLUVSW+DhnNPLzeyAEtruRNjuk8sRG1NFxszeAvbY0PaO4ziO4ziO4zgVjTtGHGcjkdQXWGRmf1yPNh2AZmb2701lVywxXKjqTqrt3A1tm42k3sC70SHiOI7jOI7jOI6z1eExOI6zZegAHJ3vgqTN5rDclGPFvnsD+2yqMRzHcRzHcRxnu0Pauv+2QTxixHE2AEnXAGcRqtx8BIyX1BK4G2hEKAd8npm9E0sCXw+UAwuAnsCNQE1J3QjVaNoALQnbTD6UdDZwL9AZWAVcZmZDJA0HLjazSdGO/wK/MLN1qunESJaWwJ5AQ+BWM/uHpB7Ab4H5QGuglaTLgHNi0/vM7HZJZYRKOOOBjsA04EwzWyKpE/BnoDYwB+gTK/UMBSYB3QjVb35AKGt8LXACMMDMOkb79gKeyNzOsf184HyAP15/FWeeVKjATmDGynRBnbkL0n7gXnvOSGrunN44qQF4fXrdpKbODuk3jjaN5yQ1L4zbManZu8ySmm7tSysStKhSvaRm4uxmSU2v3d5Oav7zUZuk5skxTZOaypVKe5N+t/5BSU373RYkNdMX7pbUjJmWfkzu1rxyUsOr09MaoNGReyc1w+6alNT0bPJBUjN2ftuk5svGZUkNwNKl6cflvrusSGoaVEvfb2+Tfiy9NDJtz7m95ic1ALVXp23avaxaUjPq85ZJTa/WHyc1MxY0SWqa75x+LQGoXMJPb8vK03Pbr1l6je5ffm1Sc2DdeUlN3coLkxqAUYt7JTWvj04/dytXLuE9YI+05j9DStvh2qp1g6TmiLZfJTVzqqSfJzul3yZ4bXr68daiaWnvSxNm1EpqZu+8e1LTrf3KpObLEh4moyen+2mxe410R8Ab09LPOVudnv/+rVcnNfvs9HlSM2hS+v19lx2nJTUA+7bumdQsqJV+nNSulX6e9Gr5fkk2hY/NzvaIO0YcZz2JToFTCVEfVYAJBOdBP+ACM3tP0gGEUruHA9cB3zWzTyTtGMvVXgd0NrMLY599CZEV3cxsqaT/Rygg0zaW0X1FUivgn0Af4NJ4u0Y+p0gW7QgVYHYAJkp6MZ7vCOxnZjPjfM4GDiCUEh4taRjBcbI3cK6ZjZR0P/BzSXcAdwHHmdmXkk4hVPzJOFaqmVnnOK+9gBdidR4kLZDUITp2zgYeyGe0mfWL68mX00aX9inccRzHcRzHcRxnA3DHiOOsP90JVVWWAEgaBNQADgYGaE34WPX4fyTQX9KTwDNF+h1kZkvjcTeC84EYdfIB0AoYAPxG0hUER0T/hK3PxT6XShoCdAW+AsaY2cyssQaa2eI4n2fiHAcBH5nZyKh7BLiYEEWyH/BqnGtl4LOsMZ8oYs99wNkxQuWUaI/jOI7jOI7jOKVSyTNiVDTuGHGciqES8JWZrZOw1MwuiBEk3ydsuelUoI/FqUHiNpZXgeOAk4FCfX3TpMDt5FhF2guYZmaF9hwU6/tpwrai14DxG1PhxnEcx3Ecx3EcpyJwV5PjrD/Dgd6SakqqAxxLyCkyM+YTQYH28bilmY02s+uAL4FdgYVAnSJjjABOj+1bAbsBmUQC9wF3AmPNLLWR/ThJNWL53R7A2AJj9ZZUS9IOwPHxHMBukjIOkB8B/412NMqcl1RV0r4Fxl9rnma2DHiZkD8l7zYax3Ecx3Ecx3GczYk7RhxnPTGzCYTtIpOB/2ONs+F04FxJkwmJSo+L52+TNFXSm8Drsd0QYB9Jk2KOjlzuASpJmhrH6mNmy+P444GvKc2xMCWONQr4rZl9WmA+/YExwGhC8tWJ8fJ04BeS3gbqA/ea2QrgROAPca6TCNuI8vE4cIWkiTE5LcCjwGrglRLsdxzHcRzHcRwnmy1ddcar0jiOA2BmNxMSjuZyVB7tD/Po5gFdivS/jJCcdB0kNSM4NUtxLEwxszNz+h4KDM0592dClZlcVpnZGXnsmwQcmud8j5zbI1m3XG834AEzKy3VvOM4juM4juM4zibEHSOOsw0h6UyCQ+YyM0vXXdvKkDSQUEL48C1ti+M4juM4juM4DrhjxHG2KczsIeCh7HOSzgYuyZGONLNfbORYswjVZyoMMzu+IvtzHMdxHMdxnO0OeUaMisYdI84WQVJfYJGZ/bHA9d7Au2b2VgWPWwYcbGb/qsh+N8COWUBnM5uzsX2Z2QN4IlPHcRzHcRzHcZwNwl1NztZKb9bNTVERlBGqq3wrkFR5S9vgOI7jOI7jOI6zLSMz29I2ONsJkq4BzgK+AD4CxgMDgbuBRoSSt+cBDYAXgAXx7wRCyde/AbWAGcA5ZjZf0lBCJZXDgB2Bc81sRIwMeRjYIQ5/oZm9LmkU0AaYCTxIKHv7e0Ip2+rA3Wb29wL29wD6AnMIW0zGA2eYmWVHgEjqDPzRzHpIqg3cBXQGDLjBzJ7O0Z8BXAxUi3P5uZmVS7qXkKC1JvCUmV0f7ZhFqFRzJHCrmT2eY+fOwP+ZWadYMngSsLuZfShpBtA2rsvfCGWAAS41s5GSugJ3ADWApcDZZjZdUh9CGd96QHPgETO7IY53GXBO7Oc+M7s9rv//Ecr7Hgx8AhxnZkslXQxcAKwC3jKzU/Os9fnA+QAn//xvnQ4+6vx8d8k3nLD3tKLXAb6q1DCpGfx246Rm+YrSXjNXrkzrTurySVLz+KhmSc0+e6Z93J98kc4Q/sWXK5IagJ0bVUtq6tVJjzdvQXqNli9Pp9Jp3jjtH1xVYqrfFSvTmvdmLE5qbt794aRmUsvTkppZ8+qmDQJWrEyv95tvL01qvnNRh6Sm/I10IN/bs9L2HNhmWVID8PKo9P27R1n1pKZSCUnyZ89JP1A6770qqRk6Pj0WQL16VZOamjXShu+9S/qBO3Rc+vn2ywMnJTW/G1KoOvva1KyZntuphy5Iav7xYo2kpmHDmklN7drpIOmPP04/twEO6LhDUtP7o9uSmnFt0ztea1ddktR8uKBBUgPQa376denJan2Sms7N1ylwtw6DpzdNao5r9U5S029ky6QGoOXu6felU3k0qen7Xr58+WtTq1b6sVSnTlqzYEH6tQTgyhbPJjWzmh6S1Dz4Wv2kpmmT9POtRvX0a9IeTUr7PPHo0/OSmh6HNUlqZn2Ufg2sVGI4wPVnVN0mSqose+m+rfpLfI2jfrJNrGM2vpXG2SxI6gScCnQgPO4mEBwL/YALzOw9SQcA95jZ4ZIGAS+Y2VOx/RTgIjMbJulG4Hrg0th9FTPrKunoeL4nwflypJktk7QX8BjBOXEVcLmZHRP7PR9YYGZdJFUHRkp6xcxmFpjK/sC+wKfASOAQwpf/Qvwm9t82jrfWu5KkNsApwCFmtlLSPYSyvw8B15jZvBgVMlhSOzObEpvONbOO+QY0sy8k1ZBUF+gOjAO6S/ov8IWZLZF0H/AXM/uvpN2AlwkOo3eA7ma2SlJP4HcExxRAV4JDaAkwVtKLBGfP2cABgIDRkoYB84G9gNPM7DxJT8Z+Hon3QQszWy5pxwJz6Ed4bHDH8+69dZxilOIUcRzHcRzHcQrjjhFnc9EdGGhmSwCi46MGIZpggNbUu17nZz9J9YAdzWxYPPUgMCBL8kz8P56wVQagKvBXSR2AcqBVAbt6Ae0knRhv1yN8oS/kGBljZh9HuybF8Yo5RnoSHEIAmNn8nOtHAJ0IjgYI0SFfxGsnR8dNFaApYWtRxjHyRJExAV4nOG0OJTg3jiI4LkZk2bVP1rrXjdEt9YAHozPJCOuY4VUzmwsg6RlC2V0j3K+Ls853BwYBM2NZX1j7vpkCPCrpWSD9M4jjOI7jOI7jOM4mxB0jzpakEvCVmaVjt4uzPP4vZ81j+pfAbKB9HKdQzLYIkSgvr+dYueOtYk3OnnQc4trjP2hmv17rpNQCuBzoErcM9c/pNxXvO5zgoNgdeA64kuDEeDFerwQcaGZrrYukvwJDzOz4uB1maNbl3MiNVCRH7lplYp2/T3DYHAtcI6mtmZUWT+o4juM4juM4jlPBePJVZ3MxHOgtqaakOoQvxUuAmZJOAlCgfdQvJOQVwcwWAPMldY/XfgwMozj1gM/MbHXUZzapf9Nv5GXgZ5KqRhtaSUpvHl6XWYTID1iz9QTgVeCbTcS5W2mAwcCJMS8IkhpI2h2oS3B+LJDUGPjeetozAjgDeC+uwTzgaNZEt7wCXJRlV8Y5VY+QDwSgT06fR0b7ahKS446M4/SWVCuu2/GsiUpZB0mVgF3NbAjBWVMPqL2ec3Mcx3Ecx3Gc7Rdp6/7bBnHHiLNZMLMJhO0fkwlJOcfGS6cD50qaDEwDjovnHweukDRRUktC0tbbYq6RDsCNiSHvAc6K/bZmTYTFFKBc0mRJvwTuA94CJkh6E/g7GxZJdQNwh6RxhOiIDDcB9SW9GW05LLtRLEd8LfBKnNurQFMzmwxMJOT8+BfBCVEyZjaLEI0yPJ76LyE6J7OV52Kgs6Qpkt4iJEMFuBW4RdJE1l2HMcDThDV82szGxfu1f7w2mpB8dWIR0yoDj0iaGud3p5l9tT5zcxzHcRzHcRzHqUh8K42z2TCzm4Gb81w6Ko92JOuW6z0wj65H1vEcYh4LM3sPaJclvTKeXwkcntPN1fEvZf9QsraWmNmFWccjyJPHxMwWEZw6uefLso6fIE/OEDPrU8COsnzn8+h2zTr+HSHXSOb2HELS19w2b7D2PK7NOv7YzHrnafNn4M8552YRErVmbv8x63K3Uux3HMdxHMdxHMfZHLhjxHEcx3Ecx3Ecx3G2FeQbPyoad4w4Tg6S2gIP55xebmYHbAl7iiHpbkL1mWzuMLMHKnIcM+tP2DLjOI7jOI7jOI7zrcIdI852j6RFZvZNAlAzm0rIY7Kl7Pk38KNiuTckzQI6m9kvCmkcx3Ecx3Ecx3GcNO4YcZytBEkCZGZHb2lbHMdxHMdxHMfZStlGK79szbhjxNmmkHQGoaJKNUIVlJ8DC4B7CeVoPyMkUr0V2A241MwGSepDKCVbD2gOPGJmN+T0rdjue4ABN5nZE5IeAp4xs2ej7lHgSTN7Lo99ZYRtOJmSvxea2evx2hXAyUB1YKCZXR/1L8e5dAKOljSMEA0yR9KzwK5ADcIWmX4lrNEVhK0/d0r6C9DezA6XdDhwrpmdLqkXoZJOdWAGcLaZLZJ0HaGUck3gdeCnZmaShhIqCn2H8LpxjpmNkdQAuB/Yg1B++XwzmyKpb1z/PeL/26M9OwBPArsQKtT8NiafLchPq/4zNWV4Z3lSsnDfdfLGrsOy5ZbUVC5xS+cPOs9JamqsXpzU7Nos/TJdv9aypOarWjWSmmXLViU1AEe0mZ/ULCuvntQsapi2adXq9IJ/vSz94aBZ3YVJDUDDqvOSmpZNmqU7eufrpMQsbXfnxrPSYwFzVjZIano2+SCpGffGW0lN5YNy82KvS6fxU5KallX/l9QALJi/S1LTZP/KSU27Ou8lNa9Ym6Rm71rvJjUNujVOagDavH5XUjO85a+TmkM/vj+pGV/nvKSm5tCnk5o6dfZPagDa7Fk1qdlr9H1JTdOmVyY1K1euTmp+1mBAUjN0t+OTGoCyup8lNXMapn/j2HN1+rFUb9SLSc3U3a9NagA+3aN7UnOopW1qNOShpObrOjckNTu/Oyyp6brfOnnt89JrXgk7iFetTErKy9OfA3ZqkH5fVglfWkt9z31WJyY1bWxuUnNc9/R4Hd+7J6l5Zoefp+35+2lJDUCVpn9Lak6b86ek5tV9L0lqulcantQEcms0ONsLnrXF2WaQ1IZQSeUQM+tAKIt7OsEJ8ZqZ7QssJJTIPZLgCMku69sVOIFQreYkSZ1zhvghYQtNe6AnoTxwU+CfQJ9oQz3gYKDQJ5UvgCPNrGO09c7YrhewV7ShA9BJ0qGxzV7APWa2r5nlfnM5x8w6AZ2BiyXtlFonYASQ+fTTGagtqWo8N1xSQ0K1mZ7RznHAZVH/VzPrYmb7EZwjx2T1Wyuu+88JzhAIzpWJZtaO4JDK/rTUGvhunPP10YajgE/NrH0c46V8E5B0vqRxksb989+lvpE5zvZJKU4Rx3Ecx3EcpzAeMeJsSxxBiKoYGz3xNQmOiBWs+YI9lRAtsVLSVGL53sirZsGlLukZQtnYcVnXuwGPmVk5MDtGbnSJESf3SGpEcKw8bWaF3O5Vgb9KyjhuMj919Ip/E+Pt2gSHyIfAB2Y2qkB/F0vK/IS1a2yT+llgPMHxUhdYDkwgOEi6E6JtDiSUQh4Z17Ea8EZse5ikXwG1gAbANOD5eO0xADMbLqmupB0Ja3ZCPP+apJ3iuAAvmtlyYLmkL4DGhPvnT5L+ALwQyxyvQ4yM6Qew7KX70j/fOI7jOI7jOM72QiWPb6ho3DHibEsIeNDM1oorlnS5mWW+PK8mOAMws9WSsh/juV+w1+cL90PAGcCpwNlFdL8EZhOiTioBmT0OAm4xs7/n2F4G5N1PIakHIXLlIDNbErezJPceRKfQTEKUy+vAFOAwYE/gbaAlwUm0VpyjpBrAPYRtPB/F7TDZ463v+mXvbykHqpjZu5I6ErY93SRpsJndmL+54ziO4ziO4zjOpsddTc62xGDgREk7A0hqIGn39Wh/ZGxTE+gNjMy5PgI4RVLlGB1yKDAmXusPXApgZsU24dcDPjOz1cCPCXk0IOQROUdS7Wh788w8En3Nj06R1oRIj1IZAVwODI/HFxC2vBgwCjhE0p7Rlh0ktWKNE2ROtDN3U+spUd8NWGBmC2Lfp8fzPYA5ZlYwuYKkZsASM3sEuA3ouB5zchzHcRzHcRzHqXA8YsTZZjCztyRdC7wiqRKwElifcrVjgKcJiT8fMbNxOdcHAgcRkowa8Csz+zyOPVvS28CziTHuAZ6WdCZhe8/i2P6VmCPljbh9ZREhAqW8SF8vARfEcacTHBqlMgK4BnjDzBZLWhbPYWZfxmS0j0nKZMi8NkZz/AN4E/gcGJvT5zJJEwnbhc6J5/oC90uaQki+elbCrraE3C2rCfffz9ZjTo7jOI7jOI6z3WNelabCcceIs00RK5jkVjGpnXW9b46+dtbNj81sndIkGU2Mprgi/q2FpFqE/B6PJex7j5DcNcOVWdfuAO7I02y/nD7Ksm5+r8A4ZfnOZ10fTHBgZG63yrn+GtAlT7trCYlZ8/GImV2ao59HiL7J7advzu3MHGcRomccx3Ecx3Ecx3G2CnwrjeMkkNSTkJvjrrh9xHEcx3Ecx3Ecx/mW4BEjznaBmfUn5AnZkLb/AdbKZSLpu8AfcqQzzex4NhOxdO/gPJeOyFTfqSjMrEdF9uc4juM4juM4jrO14I4Rx9kAzOxltvCWkOj86LAlbXAcx3Ecx3EcZzMj3/hR0fiKOs5GIumCmGx1m0FSmaQ385zvLOnOeNxH0l/jcV9Jl8fjG+P2IsdxHMdxHMdxnG0ejxhxnI3EzP62pW2oKGKlntxqPbma6zaTOQCMbH5GUtOgxqKkZsibOyU1kiU1O9YrzZ9sls4WPvjjNknN+zOXJzWVK9VIavZqsiSp+fDjqkkNwJxl9ZKaIRPSby9lu6bHO3C3T5Kadz5ultbMrJ3UAOy5W52kZvTEpUlNncN/mtRUr7QyqXl/YfOkBuCrJem1HDu/bVKzZGn6OdBp/JSkZnmndknNqP++ndQA1K6bfg5MfT/9fPuobvr5NnNW+r7tsEuTpGbiR/WTGoDJu12f1NRcnL5P3m6VW109DxPTkkmHpe2Z++/0awnA1FU1k5qdu16W1CwZX6x4W2B1eXqNntFJSc2Mt1YlNQCjVzdKar7XdYekpk6V9FrOP/jspKbZkmVJDcC8VQ2Smk8X1k1q6h50TVJTe+b/Z+/Mw6wqrr39/oCGBppBJgdUGnEAAUEZjDMOcYizosYpwfhpNGquyfVGjUbRjEZzEzUOQa9iolEUNRo1RuOEoiIgM4KogMogMzI1Q7O+P6qObA7dXQdopFvW+zw87F37V1Wr9t5nn97rVK2V/q6c2vHEpGbS6MIyb6zaOZUUDzq2nJPULB6dfgaUbZ/+zq1XwBuWCswqUoispM6ypOa50c2Tmvl7pr+7Jo1Pf3e1vexvSQ1A2cMLk5oX2v0kqdmufvp74tEZRxRkk6dL3HbxGSNOjUbSeZLekzRa0l8k1ZW0VNKvJY2R9K6k7aO2Q9wfJ+lXkpbG8hJJr0h6Px47OdP+LyRNlvSWpEczsyI6SHpR0khJb0rqWIWN2dkUr0u6Jdr8oaRDqqjXT9I/JL0saZqkyyX9VNKoOI4WUXeRpOFxvE/GDDlIOkPS+Fg+JJZ1zpyvsZL2KOAc7xb77CWpj6TnEvqBkvrG7WmSbsqc246xvHUc1wRJ90uaLqmVpMaSno82j5d0ViV9XCxphKQRzw3+v9QQHGebphCniOM4juM43yBUp2b/q4XUTqudbQJJnYCzgIPMrDtQDpwLNAbeNbNuwBDgoljlduB2M+sKfJ5pqgw41cz2Aw4H/qBAL+B0oBshLW7PTJ0BwBVm1gO4Crh7I0yvZ2a9gSuB1M9vXYDTCKlzfw0sN7N9gXeA3PKcp8ysVxzvB8CFsfwG4JhYflIsuySeg+5xPNnzsAGS9gKeBPqZ2fCNGGOWefHc3kM4VxDG/aqZdQYGA7vG8mOBmWbWLabwfbGiBs1sgJn1NLOeJ/S9sCKJ4ziO4ziO4zhOteBLaZyazJFAD2B4nG7YEJgDrAJysxpGAt+O2wcAp8TtvwO3xW0Bv5F0KLAWaAtsDxwEPGNmZUCZpH9CmGECHAg8kZnm2GAj7H4qY1tpQvuamS0BlkhaDPwzlo8DcnPRu0j6FdAcKGFd0NehwEBJj2f6fAe4TtLOBIfKlCr6bg08A5xmZhMLGlnFZMd7Wtw+GDgVwMxelJSbKzmO4Ji6BXjOzN7cjH4dx3Ecx3Ecx3E2G3eMODUZAQ+Z2bXrFUpXmVluQXE56fv4XIIToIeZrZY0DahqgWgdYFGcdbEp5BY6FmJbdlHk2sz+2kzdgcApZjZGUj+gD4CZXSJpf+B4YKSkHmb2d0nDYtkLkn5oZq9W0vdi4FOCE2NzHCMFj9fMPpS0H/Ad4FeSXjGzmzejb8dxHMdxHMfZprACvwazDQAAIABJREFUY9Q4heNLaZyazCtAX0ltACS1kNSuCv27hKUxAN/NlDcD5kSnyOFAro2hwImSiuMskRMAzOxLYKoUIrXFZTfdqm1UG08TYJakIoKTBwhxUMxsWAyGOhfYRdJuwCdmdgdhNkhVERBXEWZ1fE/SOdVs81DgzGjn0cB2cXsnwnKhh4Fbgf2quV/HcRzHcRzHcZyNwmeMODUWM5so6XrgJUl1gNXAZVVUuRJ4WNJ1hNgVi2P5I8A/JY0jZFyZFNsfLulZYCzwBWGZR67OucA9sf8i4DFgTHWObyP4BTCM4PwYRnCUANwag6uK4EQaA1wNnC9pNTAb+E1VDZvZMkknAC/HYLVfVpPNNwGPSjqfsLxnNrCEMNvlVklrCdfTg387juM4juM4jrNVcceIU6Mxs0HAoLzikszxwYTgngAzgG+ZmUn6LrBX1MwjxB+piNvMrH/M9DKEECcDM5tKCBRaiI39M9t9MtvzqCLGiJkNJCyTye2XVnTMzO4hBDbNr39afhnwu/gvZfM0QuBXzGwRIfhrjtcrsKF/pm6/SmweQVzmQ3AwHWNmayQdAPQys5WE+Ci5GCmO4ziO4ziO42wstTTzS03GHSPON4kewJ8VIqYuAn5QQJ0BkvYmxBx5yMze35IGbkPsCjweZ/qsYl3mIMdxHMdxHMdxnBqFO0acbwwxw8lGxQIxs4Jja8QlOmfkFT9hZr9O1DsGuCWveKqZnVpo35uKpJaEZTb5HGlm87dUvzEbzr5bqn3HcRzHcRzHcZzqwh0jTq1F0kBCytfBKe1m9lMa++kCVOkEqQgzK2j5iKQrgQFmtrwKzQvAOXH5SyE0AeqZWRdJPYHvmdmPq2j/EkJw1L/mlZey7hxsNJJeB66Ky20cx3Ecx3Ecx9lUPCtNteOOEWebRlJdMyuvCXYQg8cClTpGzOw7m9pHdEpU6Zgws3s3tf0tRa9VbyQ19WfNTGqGFvVLanbbyZIaKGfJirpJ1XbMK6CtNknFyQeWJTVfrkr3tLq8Ljs0Wlil5syD4K6nq8pkHWhTXOkt+hV9D0yfo0KYMG/HpGaHlkZp88VJ3eq1aZuk9D2w/9Gzk5rWM0YlNV9uv1dSs1MxfK7SKjWtGsJuK8cn25q7fdXtAMwua5nUdCj6JKl5960PkhqAhgd3SmpOGjMyqelaVllW8nVMatQ7qZkxu2FSM37WdklNUT04bJePkrqSsvTEvaHLe6b705qkpvNuSQkLlhdzxJrnq9R0Pxj+tuikZFvNm6Q/S71WvZTUfFZ6TFLTve3cpAagWZ2qnxMH7QTlpJ8TTVemr1v9FelY5rOapp8BjWxpUrN7w6UMnb1nUtdi+3RbuzSr+nsCoOOMl5OaOa3OSmqalKf7OqfrQt5ZsHdS16rxyqRmt1lvJjU773pKUtNyu3Rsh3oFfAW2bF7MR9NWJ3Vtm6e/c9cU8ErXsX3a7p6Nx6Y1+8PE1R2rtmdtHQ5Y8I9kW291y5+IvSHfmfnnpOaJFpX+5vcVO7Ys9M/96vn7xal9eNQWZ4si6TxJ70kaLekvktpJmiKplaQ6kt6UdLSkUkmTJD0i6QNJg2NAVCT1kPSGpJGS/i0p/aYU6h0paZSkcZIekNQglk+TdIuk99lwaUyubg9JYySNIZMJR1JdSbdKGi5prKQfxvI+koZIel7SZEn3xvgaSDo72jBe0i2ZtpZK+kPs4zpgJ+A1Sa9VMaZp8dyVxvN0n6QJkl6S1DBhex9Jz8XzPk1S88yxKZK2l9Rf0lWJdvpJ+nNm/zlJfeL2PZJGRJtuqsD+upIGxnMxTtJPKhnnxbGdEQ8+9UJlp2OrUIhTpCaScopAYU6Rmkh1OUVqIimnCBTmFKmJFOIUqa0U4hSpiaScIlCYU6QmknKKQGFOkZpIIU6R2kohTpHaSiFOkZpIyikCFOQUcZyahjtGnC2GpE7AWcBBZtYdKAcOI8TbuAf4b2CimeV+MtoLuNvMOhHSxv5IUhFwJ9DXzHoAD1DAchZJxYSMKmeZWVfC7Khsatj5ZrafmT1WSRMPAleYWX7MkguBxWbWi5DJ5SJJ7eOx3sAVwN5AB+A0STvF8R4BdAd6Scr9HNEYGGZm3czsZmAmcLiZHZ4aX2QP4C4z60wINnt6wnYAzGwt8AxwKoCk/YHpZvZFgeegKq4zs57APsBhkvbJO94daGtmXeJ1ebASGweYWU8z63nBaZs8ScZxHMdxHMdxvnnUqVOz/9VCaqfVTm3hSEKmmOGSRsf93czsfqApcAlwVUb/mZkNjdsPAwcTnCVdgJdjG9cDOxfQ916EAKcfxv2HgEMzx/NTAH9FnEnR3MyGxKK/ZQ4fDXwv2jIMaElwUAC8Z2afxKU5j0b7ewGvm9lcM1sDPJKxoxx4soCxVMZUMxsdt0cCpQnbswwiOK0Avkve+diIdvI5M87EGQV0JjiJsnwC7CbpTknHEhxgjuM4juM4juM4Ww2PMeJsSURIgXvteoVhiUzOuVECLInb+QuSLbYxwcwOqGbblm1iPRFmUawXTDUuJanI/qoo28z4JtkFteVAenH8Ot4BdpfUGjgF+NVG1F3D+k7VYoA4c+YqoJeZLYzBcddbmxHLuwHHEBxjZ1JYWmXHcRzHcRzHcZwtgs8YcbYkrwB9JbUBkNRCUjvC0pJHgBuA+zL6XSXlHCDnAG8Bk4HWuXJJRZI6F9D3ZMIMit3j/vlAOoonEDO+LJJ0cCw6N3P438ClcYkPkvaU1Dge6y2pfYwtcla0/z3CkpJWCgFWz67CjiWELDKbTML2rM6Ap4H/BT7IT92baGca0D3GKtmFsIQIwiygZcBiSdsDx+X3K6kVUMfMniTM/tlv40fpOI7jOI7jOI5TffiMEWeLYWYTJV0PvBSdBauBnxKWlxxkZuWSTpd0AfAawZlxmaQHgInAPWa2SlJf4A5JzQj37J+ACYm+y2K7T0iqBwwHNibjygXAAwopKrJh8+8HSoH3JQmYS5hxQezjz8DucTxPm9laSdfEfQHPm9kzlfQ5AHhR0syNiDOyMbbnMyja3G8j2xkKTCVcow+A9wHMbIykUcAk4LOoy6ct8GAuMC1wbQUax3Ecx3Ecx3EqwTxdb7XjjhFni2Jmg9gwnse3MsdPA5BUCqwxs/MqaGM068cHyZX3S/T9CrBvBeWlBdg9EsgGHf1ZLF8L/Dz++4rgI+FLMzuhgrYeJcQcyS8vydu/kxBotiq7crbPI8ReyZXfVoDtrwOvZ3QjCM6abPv9C2jHqHwmSr9Kyvtkdn2WiOM4juM4juM4NQZfSuM4juM4juM4juM4zjaLzxhxagRmNo3MDIiNQdLTQPu84qvzA6RWUvcu4KC84tvNrMI0spWRPxtjc5E0DGiQV3y+mY2rrj4cx3Ecx3Ecx6mFyOc3VDfuGHFqPWZ26mbUvaw6bSmEmK3lOTMbXJnGzPbfQn1fAiw3s79K6ge8ZGYz47FpQE8zm5dooyCd4ziO4ziO4zhORUg6FrgdqAvcb2a/yzveD7gVmBGL/mxm98dj3yckcgD4lZk9tLn2uGPEcWohkupuSqpfM8sGoO0HjAdmVoM9AhRjsDiO4ziO4ziO41RIzNZ5F/Bt4HNguKRnzWxinnSQmV2eV7cFcCPQEzBgZKy7cLNsCnEUHcfJIuk84MdAfWAY8BvgP8ABwAJCyt1fAh8CLwIjCUFFJwDfM7PlknoQ0uGWEIKl9jOzWakZI5KOBG4jOC6HA5ea2co4U2MQ4QHyezN7LK9eG+BfZtZDUjdgNNDOzD6V9DHQlRBAdSkh5e5Aggd2RRzXB8BDwIlAEXCGmU2S1JIQPLYt8E7sv0cc17/j+ekBfAe4hpB1qCEw2MxulNQLuNbMTpN0MvAY0IwQ42iime1WwTm4GLgY4KQL7+7R88iLKjpVX1G2Iu0jWryoLKlZvmRlUnP+aYVlVH7/4+KkZtasFUlNl06NkppxE5cVZFOKZUtWFaRbsSx9nlrtkD5PffbPXy22IdNm101qmjdJR2afMDl9/QFmfbYoqfnh2Y2TmkFV5YOKlJen/YhNm6XvI4AGDdJTalcU8DmpUyd9LhcvTN+3JU3T1/akgwvz7S7q1iOp2W3Sq0nN7YPTn6U+hzRPakZPSN//Jx28OqkBeH9qSVIzddrypGbR/LSm1fbpvspWrElqDjsgff8DtGue/izd/0z6vt2na/qazJidfnYV1Uvf22cfMCupAXj5w12Tmg8+WJzU1CtKP9+Wfpl+dh18UKukBmDUmCVJTas2DZOaGZ+m22nYuCipWbEs/Tlp3iJtD0Ah7zPLlqbvkz32aJrUzJqdfgYUwtrywt7BGpekf8f+5MP5Sc3e+7RJagpJdLJj6/Tn9v2xS9MNAVcc90VS8+jw0qRm8aL0ta1Tt7AsLr+7qLhWpHtZ+u6zNfolvuRbJ1V5HiUdAPQ3s2Pi/rUAZvbbjKYfYZZ6vmPkbKCPmf0w7v8FeD0mvNhkfHGS4+QhqRNwFiGlcHegHDgMuAW4B/hvwgt97tVnL+BuM+sEfAn8SFIRIcNMXzPrATwA/LqAvosJDouzzKwrwTlyaUYy38z2y3eKAJjZHKBYUlPgEGAEcIikdsAcM1ue0Q6Ox881s+5mlnvTmWdm+8VxXhXLbgTeMrPOwNNA9i/CPeLYO5vZdOA6M+sJ7AMcJmkfYBTQPeoPIcxS6QXsT3CqbICZDTCznmbWM+UUcZxtnUKcIo7jOI7jOF8Xki6WNCLz7+I8SVvgs8z+57Esn9MljZU0WNIuG1l3o/ClNI6zIUcSZkAMj2l4GxIcC/0lnQFcwroXfYDPzGxo3H6YMNPkRUIw2ZdjG3WBQn6K2guYamYfxv2HgMuAP8X9/NTH+bxNCCZ7KGGWy7GElLxvFtA3wFPx/5HAaXH70Ny2mT0vKTtNbbqZvZvZPzM++OoBOwJ7m9lYSR9Hh1NvwiyaQwnnpFC7HMdxHMdxHMepBZjZAGDAZjbzT+DROHP+h4T3oiM227hKcMeI42yIgIfM7Nr1CqVGwM5xtwTIzSXNn8pmsY0JZnZANduWWjMxhDArox3wDHB1tOf5AtvPzQ8tp7Dnw1f2SGpPmGXSy8wWxiVDuXUAQ4DjgNWEJUkDCY6R/ynQLsdxHMdxHMdxoLB1TzWbGcAumf2dWRdkFQAzy64Rux/4faZun7y6r2+uQT7/1nE25BWgb4zZgaQWcTnKLcAjwA3AfRn9rnGdHMA5wFvAZKB1rlxSkaTOBfQ9GSiVtHvcP58Qz6RQ3gTOA6bEQKgLCLE/3qpAuwQoJGDGEMK4kHQcsF0luqYER8liSdsTHCFZu64E3jGzuUBLwuyY8QX07ziO4ziO4zjON4fhwB6S2kuqD3wXeDYrkLRjZvckQjxECDEOj5a0naTtgKNj2WbhM0YcJw8zmyjpeuAlSXUIsxx+SoiLcZCZlUs6XdIFwGsEZ8Zlkh4AJgL3mNkqSX2BOyQ1I3zW/kQIzlpV32Wx3Sck5YKv3ltVnbz602KGmCGx6C1g50qiNA8E7pWUC75aGTcBj0qaQFiq82klfY+RNAqYRFj3NzRzeBiwfcauscAO5tGfHcdxHMdxHGebwszWSLqc4NCoCzxgZhMk3QyMMLNngR9LOglYQ/ixt1+su0DSLwnvSQA3m9mCzbXJHSOOUwFmNogN43l8K3P8NABJpcAaMzuvgjZGE2Jp5Jf3S/T9CrBvBeWlScODbpfM9m8IsUZy+/0z208CT2aqlmaOjSBOUYvT2I6uoKt5hDgq2b77VWLTCqBBZj8/AJPjOI7jOI7jOAVgqv0LP8zsBeCFvLIbMtvXAtfm14vHHiAkt6g2av8ZdRzHcRzHcRzHcRzH2UR8xojjbAZmNo28WROFIulpoH1e8dVmllwjJ+kuQvaZLLeb2YObYovjOI7jOI7jOM62ijtGnGohZiB5zswGb4W+LwGWm9lfJfUDXjKzmfHYNKCnmc1LtFGQrjoxs1M3o+5lG6PfmtfHcRzHcRzHcRynJuOOEafGIKmumZVvbD0zywYn7UfIdDKzGuwRoJjdxdlMJNUzszVb2w7HcRzHcRzHqdXU/nS9NQ53jGxDSDoP+DFQn5Al5DfAfwgZSRYQ0sL+EvgQeBEYCexHyKTyPTNbLqkH8L9ACSH4Zj8zm1VA30cCtxHuueHApWa2Ms7UGAR8m5Cb+rG8em2Af5lZD0ndgNFAOzP7VNLHQFfgZ8BSYBrQE3gkL9PKFZJOBIqAM8xskqSWwKNAW+AdQLG/UkJ05GFAD+A7kq4hZKRpCAw2sxsl9QKuNbPTJJ0c7W5GiNsz0cx2q+Q8vA6MAQ6L5+IHZvaepMbAnYRlOUVAfzN7JtrzN6BxbOJyM3s7tnU1ITXv2niOrpHUAbgLaA0sBy4ys0l5NvySkDf8QqA7FVzPytqJM0/K4nluCvzUzJ6TVBf4HSFgawPgLjP7i6Q+hHtqIdBR0r7A44R843WBX8ZAt/nn6WLgYoAzfnQvBx5TdazWFs3Tj7I1a9L+rTWr05rZXxYnNQDFDarnC2v4iEVJzXatGiU1HdrVT2pGjirMb7Vd65KkpqioblIzcWo6zNWsWcuSmmbNGiQ1vbulxw/wUYs2Sc30Belr2z5/kVwFrC0gJ9OiRauTmvJyo+2O6fF13nlVUjNpVuOkZod909d23Efpc9S17NWkBmDGpLTuk45HJDV7PDEpqZkyPe2b32v39DNgztKipAZABfxhu7Is/bncfa8WSc3sWcuTmo57pTO4v/xG+pkE0LRZw6Sm/W7pz+6ceenPQP2i9LOkqCh9rictbJvUAMybn7Zpjz2aJjXlBfzsUlQv/ZlcurywBG/tStPP7rKytFFd99kuqVmzJm1Tg/rpa/LO0NlJDcB5p6dtmvR5+po0bpi2aU7dtKaQvznqFNAOFPacaNch/Qz48sv0fbtd8/Sz64MpK9P27Jq+bwEGjSxNapo2SX++Q7bXqmlS4qE1narxO2QbQVIn4CxCutnuQDnh5fwW4B7gvwkv9C/FKnsBd5tZJ+BL4EeSiggv733NrAchEvCvC+i7mJAa9iwz60pwCFyakcw3s/3M7LH8umY2ByiW1BQ4BBgBHCKpHTDHzJZntIPj8XPNrHvMhAIwz8z2i+O8KpbdCLxlZp2Bp4FdM93uEcfe2cymA9eZWU9gH+AwSfsAowhOBaJd4wnOk/0JTpWqaBSvwY9YF035OuBVM+sNHA7cGp0lc4BvR/vPAu6I5/Q44GRgfzPrRnAqAQwArojX5yrg7mzHkm4lODsuIHz+K7ueVbVTCvQGjiek+y0mOFkWm1mveB4ukpR7NdwP+C8z2xM4FphpZt3MrAvBAbcBZjbAzHqaWc+UU8RxtnUKcYo4juM4juM4leMzRrYdjiTMgBgePc8NCY6F/pLOAC5h3Ys+wGdmNjRuP0yYafIiYUbDy7GNukBytgjByTLVzD6M+w8BlwF/ivsbzBjI421CoNFDCbNcjiXM8HizgL4Bnor/jwROi9uH5rbN7HlJCzP66Wb2bmb/zDiDoR6wI7C3mY2V9HF0OPUmzLo4lHBOUnY9GvsdIqmppOaEdLgnSco5booJzpqZwJ8l5ZxZe8bjRwEP5hxDMZ93CXAg8ETm14Xsz3G/AIblUuVK2osKrmcB7TwelxdNkfQJ0DHav4+kvlHTjOBgWgW8Z2ZTY/k44A+SbiHEPCn0GjqO4ziO4ziOA/ANSNdb03DHyLaDgIdiPuh1hVIjwrIGCMsplsTt/DmQFtuYYGYHUL2k5soPIczKaAc8A1wd7Xm+wPZzc/7KKeye/8qeOOvhKqCXmS2MS0ly86iHAMcBqwlLkgYSnAv/k2i/snN7uplNzh6Q1B/4AuhGmOFRVkW7dYBFcTZKRQwHekhqYWYLqOR6xtk5VbVTmf1X5GfUiUtpvjqfZvahpP2A7wC/kvSKmd1cxZgcx3Ecx3Ecx3G2KO5q2nZ4BegbY3YgqUVcjnIL8AhwA3BfRr+rpNwL8znAW8BkoHWuXFKRpM4F9D0ZKJW0e9w/nxDPpFDeJMTSmBJnKiwgvFi/VYF2CZBeJB2cGufAV8tSKluc2pTwYr9Y0vYER0jWriuBd8xsLtCSMDtmfKLvs2K/BxOWnywmxDW5IgZ8JcbigDDzYlYc9/kExwvAy8AF0bFFdHZ8CUyNM4BQoFum3xcJcUCel9SESq5nAe2cIalOjEOyW2zn38ClcbkVkvaMS4HWQ9JOhAxCDwO3EpbZOI7jOI7jOI7jbDV8xsg2gplNlHQ98JKkOoRZDj8lxIM4yMzKJZ0u6QLgNcLL7mWSHgAmAveY2aq4VOIOSc0I98+fCMFZq+q7LLb7hKRc8NV7q6qTV39adBgMiUVvATub2cIK5AMJcS+ywVcr4ibgUUkTCEt1Pq2k7zGSRgGTgM+AoZnDw4DtM3aNBXYws1TEsbLYZhHwg1j2S8K5HBuvz1TgBEJsjyclfY/g2FgW7XoxLq8ZIWkV8ALwc+Bc4J54rYsIQWHHZMbzRHSKPEtwLlV2Patq51PgPYLT6JJ4fe8nxB55P16rucApFYy9KyF+ylrCPXhpBRrHcRzHcRzHcSrBPCtNteOOkW2ImP0jP57HtzLHT4OvMrOsMbPzKmhjNCGWRn55v0TfrwD7VlBemjQ86HbJbP+GEGskt98/s/0k8GSmamnm2AhC1hTMbD4hLkY+8whxN7J996vEphVkYm/kYncUwMNmdmUFbf2wgj6mEIK+5rg6c+x3hBkgWf1UQgyW/Hb6ZbYfYF3Q18quZ4XtRP5jZpfk6dcSHDM/z9O+Hv/ldP8mzC5xHMdxHMdxHMepEfhSGsdxHMdxHMdxHMdxtll8xoizAWY2jbxZE4Ui6WmgfV7x1flBOSupexch+0yW283swU2xZWtSxVj6bAVzqo3UzCDHcRzHcRzHcbYwnpWm2nHHiFOtmNmpm1H3suq0ZWtS0Vgk3SzpKDP7z5bsW1I/oKeZXS7pFOBDM5uYswEYsrk2xBTD55jZ3ZttsOM4juM4juM4zlbEXU2O8zVhZjdsaadIBZwC7L0FbGgO/Kga2nEcx3Ecx3Ecx9mq+IwRx9kCSPoFIcXwXEI2m5GE5UnPAUuBC80slw63D3CVmZ0g6WhCxpwGwMfABWa2tJI+phFmhsyT1BO4LbtUR9KBwEnAYTG7zOnAL4DnzGxwrP8oIQXxGuBi4LfA7sCtZnavpBLgGUI64yLgejN7hhD0tYOk0YTUwc/nxhD7/jMwwswGFtJPBWO7OOr47xvv4KQzfpAvWY/eHw+s8jjA4E5pP85RrSclNb97eY+kBqBzp5KkpnuXhknNgTvNSmpemNysIJtS3HhMevwADcoWJTXPl1UU23h9OraZn9S8Wq9lUtN+p1QiKOjcckZSA9CpZfr3gvpamdQ0a/ZFUvPXj7+V1HTvVMjX9FqK65UnVS3qL05q6myYZXsD9mkyJan5rGmnpGZSo95JDcADg9cmNXs8kb53O57RMalZOfSDpEakz3XXltOTGoAmxTslNad0qDBp2nqMXZYe23b7pM9j9w/vSmpeO6qwOOMTp6fv3cvqpRPUzeyefpYMfGuXpObKudckNS/s/IekBqBNq7pJTdddlyU1i8oaJDV1SD/fvlhclNQA9NlzdlKz89L0Z6n+mCFJzStd8mOxb8iOJUuSmuIGOyQ1APXrLU9q+rX5V1IzqtFhSc1aSz8nWzZJPyfmLErfRwAN6qc1bZquTmo++LSw+yTFkb3T9+SB8x8rqK1fzj0tqflJoweSmj8q/VxaviJtd6B2ZHuxWmJnbcIdI45TzUjqRXBCdCM4E94nOEZy/AcYIKmxmS0DzgIek9QKuB44ysyWSbqakFL55k2xw8zelvQs0RESbcuXfWpm3SX9kZDq+CCgGBhPSKlcBpxqZl9G+96NbV4DdDGz7rHdPglzUv3k2z4AGAAwZMKyQr/JHGebpBCniOM4juM4jlM57hhxnOrnIOAZMysDyiT9M3vQzNZIehE4UdJg4HjgZ8BhhGUvQ6MDoz7wzha29dn4/zigxMyWAEskrYxxRJYBv5F0KLAWaAtsX939mFl6CoLjOI7jOI7jOM4WwB0jjrN1eAy4HFhAWHKyRMEb8rKZnV1gG2tYFyeoeBPtyK0JWJvZzu3XA84FWgM9zGx1XBZTUV9ZWyqyJ9WP4ziO4ziO4zjOVsGDrzpO9TOUMBukOMboOKECzRvAfsBFBCcJwLvAQZJ2B5DUWNKeVfQzDegRt0+vRLMEaLJx5q9HM2BOdIocDrSrpN3pwN6SGsSZJkduRp+O4ziO4ziO41SCqU6N/lcbqZ1WO04NxsyGE5aOjAX+RVg+sjhPU04IxHpc/B8zmwv0Ax6VNJawjKaqiHo3AbdLGgGVRgN8DPgfSaMkddiE4TwC9JQ0DvgeMCnaOp+w5Ge8pFvN7DPgcULMkMeBUZvQl+M4juM4juM4zteOT2F3nC3DbWbWX1IjYAgw0szuywrM7HLCcpps2atAr0I6MLM3gQ1mlJjZQEKAU8xsKJl0vQTHS05XWlGd/GPAAZX0f07e/s8IsVLydYX24ziO4ziO4ziO87XjjhHH2TIMkLQ3IdbGQ2b2/tY2yHEcx3Ecx3GcbwC1dLlKTcYdI46zBcifTbE5SHoaaJ9XfLWZ/bu6+nAcx3Ecx3Ecx9lWcVeT42xhJJVKGr8R+v6Srorb/YDLzKx73r8t4hTJ6/tmSUcl9P0k7ZTZvz/OlHEcx3Ecx3Ecx6kV+IwRx6nZ9CMENJ35dXdsZjcUIOtHxj4z+39b0ibHcRzHcRzH2dYxaWub8I1DZra1bXCcbzSSSgnZad4CDgRmACcD5wEXA/WBj4DzzWy5pP7AUkI63oFRvwI4wMxWVND+NOBRQoabNbHN3wK7A7ea2b1R9z/AmUAD4GkzuzGWXwd8H5gDfEYIFHubpIHAc2Y2WNINwIlAQ+Bt4IcEP/XsAAAgAElEQVSEFMHr2RfHeZWZjZB0NvBzQMDzZnZ17G8pcDshjfEK4GQz+6Ky8/f7J9cmH1JNS9KT35o2Tj/r3hu1LKmxtDkAtGhZnNS0almU1LRslu6vuGhtUjN83JqkplA67t4gqflgysqkpvve6fFPnpYeW7c90n8cFBdVlrhpfT6dVz+pmb8wbVPL7dL35KLF6XbatCxsYufchdXzXb5qVdqm1i3rJjUfTtngUbUB9YvT7QB02TN9n0yZnr6+nTukz2WDgzolNZMHT0pq1pYXdj2KitL37qefLU9qenVvlNTMmJO2p376VLNH29VpEdC58UdJzfCFVSVeC8yYmz5H8+ann2/1CjjXu+9a2D35wUfpc9CrS/p+m70w/ftk62bpe7tNSfoeAZi+oCSpWbQkfZ6aFPB9ulurpUnNvGXp+/bTOYU9A3fbIX0PzFuSvsEbFaefgeMmp69JeQF/K9Qp8L22kD87vrVP+jx99Hn6/p41uyypadAg3c6uO6e/S6Gw78Fly9Pne/Wa6jvfN3+/fq3wOCwc80aNfonfrtthteI8ZvGlNI7z9bAHcJeZdQYWEZwKT5lZLzPrBnwAXJitYGaDgRHAuXH5TFVvGp+aWXfgTYKzoi/wLUJKXyQdHW3oDXQHekg6VFIP4Lux7DtUnhHnz9HWLgTnyAlV2ReX19wCHBHb7iXplHi4MfBuHPcQ4KL8ziRdLGmEpBHDXh5QxbAdx6kup4jjOI7jOM62ii+lcZyvh6lmNjpujwRKgS6SfgU0B0qAzYkb8mz8fxxQYmZLgCWSVkpqDhwd/42KuhKCo6QJYfbIcgBJz1Ixh0v6GdAIaAFMAP5ZhT29gNfNbG5s9xHgUOAfwCrguagbCXw7v7KZDQAGQGEzRhzHcRzHcRxnW8E8K021444Rx/l6yK4rKCfMuhgInGJmY2KQ1T7V0P7avL7WEj7nAn5rZn/JVpJ0ZaphScXA3UBPM/ssLvVJrxOpnNW2bg1fOf4cchzHcRzHcRxnK+KuJsfZejQBZkkqAs6tRLMk6jaXfwM/kFQCIKmtpDaEpSynSGooqQkhjkg+OSfIvFi/bwH2vQccJqmVpLrA2cAb1TAOx3Ecx3Ecx3GcasV/qXWcrccvgGHA3Ph/RQ6GgcC9kioNvloIZvaSpE7AOwpRrJcC55nZ+5IGAWMIwVeHV1B3kaT7CNlnZudp1rMvU2eWpGuA11gXfPWZTbHdcRzHcRzHcZwMnpWm2nHHiONsYcxsGtAls39b5vA9Fej7Z7afBJ5MtF+a2R5IcFZUdOx2QjaY/Pq/Bn5dQXm/zPb1wPUVaPLt65M59ighW05+nZLM9mBgcL7GcRzHcRzHcRzn68KX0jiO4ziO4ziO4ziOs83iM0Ycp5Yg6WmgfV7x1Wa2OdlsHMdxHMdxHMepRXhWmurHHSOOU0sws1O3tg2O4ziO4ziO4zjfNNzV5DgbiaRSSeM3Qt9f0lVxu5+knbacdQXb9PO8/bcT+uaSfpTZ30mSxwZxHMdxHMdxHKfW4zNGHOfrpR8hu8vMrWzHz4Hf5HbM7MCEvjnwI+DuqJ/J+ml7txi991qZ1GzfcEFS8/SIHZKaQgJ8f++4VWkRIKXt/mzxdknNpOlpo3bdMe3j3nGH+knNhAmLkxoA69Agqdm3c1FSM72AT8Ee7eomNWvWWlJTXG91ujOg287Lk5qX56UzaJ+408ikZllp86Rm/pqWSU2nHWDxyoZJ3YtDy5OaYw5Mn++9Gn2Y1HTfOf15Gz8rff8DjJ5QlrZp9+KkRqTHP3nwpHRffTsmNauGTkxqAD7+PK1p3Dj9WTqhzj+Tmus/OyKtOXxcUvPE5wckNQBDZnRIas45bE5SM2Jc+j4pKUn/ObtHu/Sz9N33059/gD13b5zU7Nsk/ftJk9fuS2oWnnJZUvP653smNQDfXbBB/PUNeHfPi5OaXRrNSmr+77W2Sc0v2v89qXlA5yc1AL2KRyU1deulv5dvfmPfpKa0Xfr6r1yV/l6aPbuw++3og9LfuQforXR/jfskNZ32TH+XrEg/kmnXKn2uAYYNW5rUHH5oi6SmkL/fxk8u7O83Z9vFZ4w4zqZRV9J9kiZIeklSQ0kXSRouaYykJyU1ylaQ1BfoCTwiabSkCr99JE2TdJOk9yWNk9QxljeW9ICk9ySNknRyLG8k6XFJEyU9LWmYpJ7x2NmxjfGSbollvwMaRhseiWVL4/8lkl7J9H1yNOt3QIdY59bsrBlJxZIejPpRkg6P5f0kPSXpRUlTJP0+lteVNDDaNE7STyo4BxdLGiFpxD+f+L/NulCO802nEKeI4ziO4zjfHAzV6H+1EZ8x4jibxh7A2WZ2kaTHgdOBp8zsPgBJvwIuBO7MVTCzwZIuB64ysxGJ9ueZ2X5x+cpVwP8DrgNeNbMfSGoOvCfpP8ClwEIz21tSF2B0tGEn4BagB7AQeEnSKWZ2jaTLzax7Bf2WAaea2ZeSWgHvSnoWuAbokqsjqTRT57IwPOsanTgvScr9fNUd2BdYCUyWdCfQBmhrZl1iWxv8bG5mA4ABAK+PX5H+2cVxHMdxHMdxHGcT8RkjjrNpTDWz0XF7JFAKdJH0pqRxwLlA581o/6m8tgGOBq6RNBp4HSgGdgUOBh4DMLPxwNio7wW8bmZzzWwN8AhwaKJfAb+RNBb4D9AW2D5R52Dg4dj/JGA6kHOMvGJmi82sDJgItAM+AXaTdKekY4EvE+07juM4juM4juNsMXzGiONsGtnFk+VAQ2AgcIqZjZHUD+hTDe2Xs+5zKuB0M5ucFaqQhZWFcy7QGuhhZqslTSM4YDaV/PNUz8wWSuoGHANcApwJ/GAz+nAcx3Ecx3GcbQZP11v9+Bl1nOqjCTBLUhHBwVARS6JuU/g3cIWiJ0RSLkLYUIJzAUl7A11j+XvAYZJaSaoLnA28EY+tjnbm0wyYE50ihxNmeKTsfpM43riEZldgciVa4hKdOmb2JHA9sF+Vo3Ycx3Ecx3Ecx9mCuGPEcaqPXwDDCI6KylIbDATurSr4ahX8EigCxkqaEPchZIppLWki8CtgArDYzGYRYoO8BowBRprZM7HOgNjOI3l9PAL0jMuBvpcbh5nNB4bGgKm35tW5G6gT6wwC+plZVeHI2wKvxyVBDwPXbtRZcBzHcRzHcRzHqUZ8KY3jbCRmNg3oktm/LXP4ngr0/TPbTwJPJtovzWyPIC7JMbMVwA8rqFIGnGdmZZI6EGKDTI91HgUeraCPq4GrM/sl8f95QIW5GM3snLyiLrG8DLigAv1AgiMot39C5rDPEnEcx3Ecx3GcTaF6l9I7uGPEcb4JNAJei0tjBPzIzDxZu+M4juM4juM4TgG4Y8RxthKSngba5xVfbWb/3ph2zGwJ0LPaDHMcx3Ecx3Ecx9mG8Bgj2yCS3t7aNlQHkvpIem4j69wfA5RWpblE0vcS/R64Mf3Get0lfSdT9CDwmJl1z/zbKKfI10W+7ZJOknTN1rTJcRzHcRzHcbZFjDo1+l9txGeMbIOY2Ua/1H9TMLP/V4Dm3oSkD7AU2MDBJKmema2ppF53wsyOF2I/zwLPpuypIdRm2x3HcRzHcRzHcSpFZra1bXC+ZiQtNbMSSX2Am4BFhBSvjwPjgP8CGgKnmNnHkgYSAnz2BJoCPzWz5yQVE4KN9gTWxPLXJHUmzIaoT5iVdLqZTZF0HvDjWD6MEAujvBIb7wF6RTsGm9mNsfxY4E/AcuAtYDczO0FSf8KylN0I6WJ/AnwLOA6YAZwYU9C+DlxlZiMkLQVuB04AVgAnm9kXsa2lZnabpB8Dl8TxTSRkeXkXKAfmAlcAF8bzsy8hI81jsd3i2O4FwFTgozieGcBv43ZP4DpgLNDezNZKakzIBpMby11A6zjmi8yswow3ks4Aboy2LTazQyWVAn8DGkfZ5Wb2drz2/YF5hCCqIwkBXE1Sr2h/Y2Al8G3CfbGB7WZ2eezjAaBVPCcXmNmn8b75Mo5xB+BnZjZY0o6E7DVNCc7ZS83szbyxXAxcDPD7m67rcf6Zp1c05K9otHxelccB/jr7qKTm23t9ntTMXN4qqQGYPj+ddKhV08p8aOs45JWfJDVP7HdnUtO+TVlS07De6qQGoHX9BUnNuzPaJTVnzP1jUjOz+0lJzej5+SvSNqRhUYWPmg1oVD99Dnot+ldSM3uH7knNwvLtkppmdRcnNQAzyrZPatoUL0xqHn4jfX+fdvCypOb9T1skNUe1/yipAZi1Kj22OUsbJTVdW05Pap4eXZrUdNg5/XdT/YOqnJj4FR0np++lkpXp6zZqZdekZo+m6efb1KVtk5r9NDypAVhV1Dip+Uzpz26Xmc8nNQ+Xn5vUtG2R/mz3Wfp0UgPw8U6HJTXjZrdJaorrp++l+V+mf3lduzYpAWBNAY/BC1f9OalZ3Xb3pOZPU9LfuUd0S38vdSofndQAjFjbO6lpUj/d39xl6fu2EL5YVDepKeSeBCi3dJDNsVPSmr69ZiY1K9c2SGpeHJv+nrig04ikBqDO2vTfQbOL08+JyQvS3xPLVxYWrPS8Q2pHVNM5E0fU6Jf4Nnv3rBXnMYvPGHG6AZ2ABcAnwP1m1lvSfxFe+q+MulKgN9CBEOhzd+AywMysq6SOwEuS9iQ4Em43s0ck1QfqSuoEnAUcFB0UdwPnAn+txK7rzGyBpLrAK5L2AT4E7gOOIDgZBuXV6QAcDuwNvENwyPwsxvI4HvhHnr4x8K6ZXSfp98BFhHS3Wa4hOCxWSmpuZosk3Ut0nABIuhDYGTjQzMolNQUOMbM1ko4CfmNmp0u6gehMiPX6EU7g4pi69jBCat0TgH/H8zQAuCQ6lvYnpMY9opJzdgNwjJnNkNQ8ls0Bvh0z1uxByFCTi0eyL9AZmElw6Bwk6b14Xs8ys+FxLMtj2xvYHrkTeMjMHpL0A+AO4JR4bEfgYKAjYYbJYOCcOL5fx+u7wRuNmQ0gpBRm9qRRNfrB7zhbm0KcIo7jOI7jfHOw2uG/qVW4Y8QZbmazACR9DLwUy8cRnAw5HjeztcAUSZ8QXnQPJrwUY2aTJE0H9iQ4Ja6TtDPwVHypPxLoAQxX+CA3JLy0V8aZcdZAPcLL9d6E2SdTzWxKtPdh4qyCyL+iM2EcUBd4MTOW0gr6WAXkYpSMJMyMyGcs8Iikf7ChYyXLE5nZL82Ah6IjwoCiKurlGERwHL0GfBe4W1IJcCDwhNY9/Kpy5Q8FBkp6HHgqlhUBf5bUnTCTZM+M/j0z+xwgOmZKgcXALDMbDmBmX8bjVdl+AHBa3P4b8PvMsX/E+2aipNzb23DggZhF5x9mVtjPQY7jOI7jOI7jOFuA2hkZxalOVma212b217K+4yz/V/tKf8U3s78DJxGWkbwg6QhCGtmHMkFG9zKz/hXVl9QeuAo40sz2AZ4nLEspaCzxRXy1rVsnlj+WHFlNeSWa4wlLWfYjOHUqcyZm55b/EnjNzLoAJxZo+7PAsZJaEBxIrxI+n4vygrN2qqwBM7sEuB7YBRgpqSVhSdEXhJlBPQnLmHJkr31l499csn0o2jkEOJSwLGdgVYFuHcdxHMdxHMdxtjTuGHEK5QxJdSR1IMS+mAy8SVgOQ1xCsyswWdJuwCdmdgfwDLAP8ArQV1KbqG8hqbIgBE0JjobFcZbBcbF8ElAabQA4u7oHmUVSHWAXM3sNuJowE6QEWAI0qaJqM8JLP0C/THml9cxsKWEmxe3Ac2ZWHmdrTI2xQ1CgWxX2djCzYWZ2AyHWxy7RllnRWXQ+YSZNVUwGdoxxRpDUJDqDqhrz24RZLhDuhzcr0eXsbAd8YWb3AfcTnE6O4ziO4ziO4zhbBXeMOIXyKfAe8C9CzIsyQryLOnHpyiCgn5mtBM4ExsflGV2Av5rZRMJshpckjQVeJiyR2QAzGwOMIjhC/k5YIkLs82LgeUnvU/VSnOqgLvBwHN8o4A4zWwT8EzhV0mhJh1RQ7/fAbyWNYv1ZGK8Be8d6Z1VQbxBwHuvHTjkXuFDSGGACcHIV9t4qaZyk8QRnxRjCNfp+rN+R9We2bICZrSIs6bkz1nmZMOOlKtuvAC6I1/V8QvDequgDjInn5yyCM8hxHMdxHMdxnAIw1anR/2ojHmNkG8TMSuL/rwOvZ8r7ZLbXOwb8Jy7VyLZTRsi4kt/+74DfVVA+iA0DplZmY79Kyl8kvODnl/fP2y+p6FjeGLOawYTAoPltHVxBXx8SZsHkeDPv+DusH8vj+li+gJBpJ8vAPBvWC+ZhZlOBY/NtqAgzO62C4il5tl4dta+z/rW/PLM9nJDRJ58KbTez6VQQEDb/Gmbuu4eAhyoZhuM4juM4juM4ztdK7XTnOI7jOI7jOI7jOI7jVAM+Y8RJUtnsjepA0jA2zLRyvpmN21J91nYkXQeckVf8hJn9emvY4ziO4ziO4zjO14fh6XqrG58xUoOR9PbWtiGFpKWVlA+U1DdV38z2z2ZdAf4E/HAz7JkmqdWm1t9cJHWX9J0qjveUdEeijZ9XddzMfp2XqaZ7bXSKpM6V4ziO4ziO4zjO14E7RmowZnbg1rZhW0dSKotLPt2BCl/2JdUzsxFm9uNEG1U6Rr5BVHquHMdxHMdxHMdxvi58KU0NRtJSMyuR1Ae4CVgEdAUeB8YRsn80BE4xs48lDQTKgJ6ElLc/NbPnJBUD98TyNbH8NUmdgQeB+gQn2elmNkXSecCPY/kw4EdmVl6FnX8EjgZmA981s7l5x48EbiPcb8OBS81sZUwJezvQGFgJHJlX73hC4NITgQPidn1gPnCumX0hqSXwKNAWeIdM8NKNHUem3jRCkNhvA7+XNBy4C2gNLAcuMrNJMY3ujUA5sBg4CrgZaCjpYOC3QCcgl+L4U0l/Aa4ysxMklQB3Eq6LEa5xr1h/NDDBzM6twL5S4EXgXeDAeE4fjPXbxHPznqQWwAOx7+WEjD7jgU+A7jHDDpKmEILMrgXuJaRdBrjSzIZK6g+0j+3sCvyEEJz1OEJa4hPNbLWkHsD/ElIazyNkKZol6fV4/g8HmgMXxv31zlUMzpsb48XRXu684GQuPKJ3ldds6X5HVXkcYLcd1iQ1Q6buktTMnL06qQE4ofeCpGb6ouZJzYcn/TKpKZ5jSc24qfkr1jZk7rzCpmX++IB5SU29ursmNeO79EtqVq9K+yY7t5yR1ExZXGESrA34bEHDpKZ0xy5JTYslnyU1M+vvkNQsWLFTUgNQVHdtUlOydnFS06xZ+jx1evvOpGbMrjem7Smbn9QAvD+9Q1Ijpe/dJsXpc1lUlG7n48+TEk6d/K+0CJi013FJTeNRo5OaXUvSn8lhM9snNcc2G5rUvLt6/6QGoGOjT5OavRYPT2qeaXBOUjNravr5fky7j5Ka5fXT3wEAbZd/mNTMKNkuqVlSlv4z/PTt30pq7p14QFIDsMuO6efptD1PSbfzxXtJTfOm6b7q101ft2VFLZIagDVL0p/d1vXTz5z3pzVNapo2TtvTrHH6mfzGiPT4AXbZuTip2b51evz1WZnUtH35rqTm+KNTyQeh3qAHkxqAh7rendRcUufepOb9ppcmNWesHFiISUC/AnVbl9qa+aUm42e09tANuITwon0+sKeZ9QbuJ6RLzVEK9AaOB+6NTpHLADOzrsDZwEOx/BLg9riEpSfwuaROhBSqB8XyckLK2MpoDIwws87AGwRHwVfEfgYCZ8X+6wGXSqpPcD78l5l1IzgVVmTqnQpcA3zHzOYBbwHfMrN9gceAn0XpjcBbsf+niS/1mzCOfOab2X5m9hgwALjCzHoAVxFS4ALcABwT7T8pprq9ARgUl7fkXvT3Bo4ys7Pz+vgFsNjMuprZPsCrZnYNsCLWr8re3YE/EDL0dATOITg3rmLdjJObgFGx7Z8T0iavBZ4BTo3naX9gupl9QXBS/dHMegGnE+6tHB0ImWdOAh4GXovXcwVwvKQigpOnbzxPDwDZ5T314v16JXBjFecKADMbYGY9zaxnyiniONs6hThFHMdxHMdxnMrxGSO1h+FmNgtA0sfAS7F8HOGX+ByPx5ffKZI+Ibw0H0x4aSXOdJhOSCf7DnCdpJ2Bp+JskSOBHsDw+AtcQ2BOFXatZV0K3oeBp/KO7wVMjSluIaRpvQx4BZgVU8NiZl/GsUF4Ae8JHJ0rB3YGBknakTADZGosPxQ4LbbxvKSFsXxjx5HPoGhPCWFWxhOZXyRzP70PBQZKeryCcWd51sxWVFB+FPDd3I6ZLaxAUxlTcwFqJU0AXjEzkzSO4ByDcN1Pj22/KqmlpKZxbDcQZpl8l3XX7yhg78w4m8bxA/wrzgoZB9QlzFiBcP+VEq5zF+DlWL8uMCtjb+78jMzY5ziO4ziO4ziOs9Vxx0jtITv/bW1mfy3rX8f8OfWVzrE3s7/HrDDHAy9I+iFhKcpDZnbtJtqZntOf5mPCso09gRGx7E7gf83s2bi0qH+ijc0dx7L4fx1gUZx1sh5mdkmccXE8MDIuJamqreqk0PuhIt4BdpfUGjgF+FUsr0OYlVOWFUdHx0oAM1srabWZ5a5zrj8Rlv5UNp83Z195AfY5juM4juM4jlMJVsASUmfj8KU03zzOkFRHUi6uxWTgTeIyEkl7EpabTJa0G/CJmd1BWF6xD2EmR19JbaK+haR2VfRXB8hlnzmHsOQly2SgVNLucf98wpKbycCOMc4IkppIyr0wTyfMdPhrjIMC0IwQzwLg+5n2h8R+kXQckFvUW+k4JP1VUkHrM+KMlakxnggKdIvbHcxsmJndAMwFdgGWAE0KaRt4mTB7hthezvbVcWnK5pK97n2AeWb2ZXRqPE2IB/KBmeUW3b5EZlmWpA2cQVUwGWgt6YBYtyhz7SpjY86V4ziO4ziO4zjOFsEdI988PgXeA/4FXBJ//b8bqBOXQQwiBMVcCZwJjI+BPrsQYlBMJAQ5fUnSWMLLe1XR+JYBvSWNJyyBuTl7MPZ/AWEpyjhigM8YY+Is4E5JY2I/xZl6kwgv9U9EJ0//uD2SENgzx03AoXE5yWlx/CTGsQ8wM3km13Eu/H/2zjzeqqr8/+8PCIKg4BxqioBKCkiKsxIOmaWZ5vQttVDLsLTMr2Wl31822/Ctr5o5pmiZOWWSmbOI4QQpiqI4gfM8gMggcD+/P9Y6eu7hnLsOeJn0eb9e93XPWfuz13rW3vvuc/dznvU8HJHtfAj4XG7/taSJee53APcDt5KWo0yQdFCh358Cq0p6MPddWRJ1DvCApIsXwsZ6nAxsmed/Cq0dSpcCh/DeMhpIiWqHSHpA0iRSDpqmyOdzf+CXeS4TSEuQ2mJhjlUQBEEQBEEQBMFiIULal2Fsd8+/RwOjq9qHVb1utQ24yXarB9oq50Rt/6eQHphr2y+l9QNz0cY67cOrXt8MfLyOZhypukk1I/MPtu8jJS6FtLzm6jp9vEaqiFPPhgXmkXNsPGa7YV0B271r3k8B9qij+3yd3V8nVZZp1Pdo8vmyPYPWzoqK5gTghDb6mEpyZFXeD6+3zfbrpKUy9foYT1UFn9z2KslZVas9ueZ993rbbE8g5Xyp3X9YzRi9q+xreKyCIAiCIAiCIFgQE0tp2ptwjAQfKvLSmAOWth1BEARBEARBEATBskE4Rj5AVEcOtDc5SeuKNc2HViqjLI9IugrYsKb5BNvXLw17apG0OilXSi27VuUFCYIgCIIgCIIgCN4H4RgJmsL2NkvbhvbG9r6LewxJd9gu5dqoS3Z+LEwC1KVCTkz7Y+BF2zuX9EEQBEEQBEEQLDpWpAptb8IxEgSLkUV1iiwPKNXxFXAE8FXbtRWJgiAIgiAIgiAIlnnCMRIEixFJM2x3z+VyfwS8CQwELgMmAt8CugL72H5C0khgNjAEWAU4zvY1kroAZ+b2ebn91lwS9wKgM6nK1H62H5N0CKnKTGfgbuDrtuc3sHEP4OdAR1JJ310lnQzMsP2brHkQ2Cvvcn3uc8s8jx2BP0oaBXyPlNB3GGnp1Rm2z5Z0BnC97VF5CdMbtg+XdDjQ1/aJNTYdCRwJ8JOf/oz/+q8vtHmcO7fMbnM7wDtvlz3rX+z296Lm1E6fLWoArr+vR1Gz/WZzippeapgn+F0e71Aea6f+bxQ1q3YsawDmzq9dVbcgr00r97Nn1/FFzeiWXYqaZ6fVzQHdillzmvtm5fVpLmrGeJOiZqO1PlLUXHdXuSr3xht2LmoA3plX1mzQu9xX1y7lZG5j+n6/3M/b5eM4duaQogZgytSZRc2c2eUDsE/fp4uaa5/pU9R061Y+b93nNPe31O2+CUXN2x8vBw6Ov2lyUXPAc78oau4dfExR0zK3uYR/U2auW9Q8ucJ6Rc3Oq95b1Ex4qFQdHh6bXbtydkGmzyqfW4DNVn+uqHnh6fLf2/Mv1f1YboU3aOb7lfLfG8DU58p/J8N6TS9qHl1zgTzrC441ofx3u+oq5c+urr3Kn+8AL75ZPnedOq5T1PRavaWoeXt2+fNk+syy5kfrN1d88M+dvlLUvPxq+Voa27lvUbPatj8palZq4n7ba++DixqAmZPKx/vRLfYraqbcU7bpxv6HNGVTc//lBR9EwjESBEuOzYGPkSrXPAmcZ3trSd8CjgGOzbrewNZAX+BWSf2AbwC2PVBSf1IZ4o1JJXVPtX2xpM5AR0kfI1WX2cH2XEl/IJUcvqjWIElrAucCQ21PkbRaE/PYCPiy7btyHzsDx9senx0a02xvJWlFYKykG4DbgZ2AUcC6vFc6eSfgr7UD2D6HVLaYx5+Y0tx/fEHwIaUZp0gQBEEQBEHQmHCMBMGSY5ztFwAkPQHckNsnAtW5OS6z3QI8JulJoD8pKuN0ANuPSHoK2Bi4EzhR0nrA33K0yK6kaI5xabULXYGXG9i0LTAmlySulNAt8VTFKVKH3YFBkvbP73uQHCm3A8dK2hSYBKwqqRewHSmyJQiCIAiCIAiCJj3Eu1MAACAASURBVIhyve1POEaCYMlRvW6ipep9C63/FmsjJBpGTNj+S64YtCdwraSvkfJ+XGi7HO/emHmkpTkVulS9fruN/QQcU6+yj6SewB7AGGA14EDScp233oedQRAEQRAEQRAE74tIZxsEyx4HSOogqS/QB5hMirg4GCAvoVkfmCypD/Ck7dOAq4FBpBK/+0taK+tXk7RBg7HuAoZK2rCize1TgS1y2xYsWNa4EdcDR0nqVLFVUreqsY4lOUZuB47Pv4MgCIIgCIIgCJYaETESBMseTwP3kJKvjrA9O+cJOVPSRFI0x3DbcyQdCBwqaS7wIvBz269LOomUh6QDMJeUo+Sp2oFsv5Lzgvwta18GPglcCXxJ0kOkRKuPNmn7eaQcKffmqjWvAPvkbbcDu9t+PC8FWo1wjARBEARBEATBQhHletufcIwEwWLEdvf8ezQwuqp9WNXrVtuAm2yPqOlnNnBYnf5PIVWBqW2/FLi0SRv/Bfyrpm0WKV9IPQbUaIdVvW4BfpB/asf5I/DH/Hou0K1WEwRBEARBEARBsKQJV1MQBEEQBEEQBEEQBB9aImIkCJYhbA9fXH3nJK0r1jQfanvi4hozCIIgCIIgCIL2JarStD8RMbIEkHTH0rZhcSJpmKRrlrYd1SwtmyTtk0vSVt4Pl7TOkrajHra3sT245qcpp4ikwZI+U/V+b0nfW3zWBkEQBEEQBEEQLBnCMbIEsL390rZhWUZSx6VtQzuyD7Bp1fvhQLs6RiQtjUivwcC7jhHbo3J+kyAIgiAIgiAIguUa2V7aNnzgkTTDdndJw4AfAW8CA4HLgInAt4CuwD62n5A0EpgNDCFVJjnO9jWSugBn5vZ5uf1WSZsBFwCdSc6u/Ww/JukQ4Ju5/W7g67bnN7Bx92zbisATwGG2Z0iaClwCfDqPeSTwC6Af8GvbZ+V5/Rh4K7ffmsdqkXQmsFWe3xW2f5jHm0pKDvpJ4Fd5zD8CLcCNwKdtD2g05yaOeVs2fYGUHFTAP22fIOlwYJDtY/P+XwU2tf1tSV8ilZY18IDtQyX1Bs4H1iBVXjkMWA+4BpiWfy4B/gd4DpgFbJeTmrZl92DgLGClfEwOt/2GpNHABGBH4BLb/1tn3wOAHwLzgWm2h2Y7/8R7iU6Ptn1HPj4nA6+Skqn+BzjEtiVtBZya95lDOkcTSefwOdL57woMsX10vWNh++l8HU8nnbuPAN+1fYWkXqRzvwppOd9RthtWp5k55rLiTUrPPlGS8Nw2/1XUXHBb2Yd1wE7TixqADd+6v6iZv0LtyqYFOf/xHYqar699VVHz1zn7FTV33vVaUQPw/YPeLGqscojnE2+tV9Rs7XLA3Zh5OxU1a3Z7u6gBWKPzG0XNn8eWr5Njn/lmUaPPHFDUdHl0fFED8NDHv1LUPPrKqkXN6t3nFjVDnz2/qHl44/2Lmk6aV9QA/O6Ssu+83yarFTWDN2opaqbNKvud9+rwj6Lm3132KGoA1u/+alEz/rny9bb6bpsUNVNHTS5qjvA5Rc3Xx+1T1ACss0HPouY7r/x3UXNCy4+Lml7rdi9q9t+2fKyvvHvNogZgh0Hla3eHB08taua9Xr7ntswtjzXrUwcXNQAr3zmqqHl0p6OLmv6PXlnU/GP1I4uaXW4YUdRcv8vZRQ3AkF7PFDU9zzupqDlx5d8VNXt+snxtv/Ba+b71+JPNfS5tvlk5V/1+j5bn9tTOXy9q1nzn2aLm+te2Kmr2f/G3RQ3AbhcNKWqu/FX573t65zWKmsnT1m3Kpr22WGG5WKMy5YnHl+mH+A379lsujmM1ETGy5NkcGAF8DDgU2Nj21qQyp8dU6XoDWwN7AmdlB8E3ANseCHwBuDC3jwBOtT2Y9BD6rKSPAQcBO+T2+UDdT05JawAnAbvZ3gIYDxxXJXk693E7MBLYH9iW5EipsHW2f1OgL/D53H6i7SHAIOATkgZV7fOa7S1s/5Xk2Plala0VGs25GRawKS9r+SWwCykKYitJ+5CcVJ+V1CnvexhwfnY6nQTsYntzkhML4HTgQtuDgIuB02zfAYwCvpOXqfwyH8uD8/s2nSKZi4ATcr8TSY6OCp1tD6nnFMn8P+BT2c69c9vLwCfzeT0IOK1K/3Hg2Hx8+gA7SOpMclp8K/ezG/B27vvSPI/aajcLHIuqbb1Izpy9eK96zheB6/O53pzk8GmFpCMljZc0/vxRNzWYbhAE0JxTJAiCIAiCIGhMOEaWPONsv2B7Diki4IbcPpHkDKlwme0W248BTwL9SQ+Yfwaw/QjwFLAxcCfwA0knABvkB/BdgS2BcZIm5Pd9Gti0LenheGzWfhnYoGp75SuGicDdtt+y/QowR1LFbX6P7SdzRMol2VaAAyXdC9wHbEbrZSaXAuQ+VrZ9Z27/S5Wm0ZyboZ5NWwGjbb9iex7pQX6o7RnALcBekvoDnXL+jV2Ay22/mm14Pfe9XZWdf6qa7yIjqQfQ0/ZtuelCYGiVpFR+dywwMke7VL6q6AScK2kicDmtj/89tp/NJXYnkK6/TYAXbI8DsD09H6e2aOtY/D1fx5OAtXPbOOAwSScDA22/Vduh7XOyE2jI4XvvVhg+CIIgCIIgCIJg0YmqNEueOVWvW6ret9D6fNSGRzUMl7L9l1xxZE/gWklfIy0TudD295uwScCNtr9QsLna3lqbF7BX0oakJShb5eUgI4HqaI/mYggXnaaPYeY80hKbR0gRLMsabR4v2yMkbUO6Dv4jaUtSxMxLpMiMDqQlWhWqz+V8Fs/9oHoMZTvHSBqa7Rwp6be2L1oMYwdBEARBEATBB46oStP+RMTIsssBkjpI6kuK9JhMWspyMICkjYH1gcmS+gBP2j4NuJq0bOVmYH9Ja2X9apI2qDMOwF2kZRT9srZb7n9h2FrShpI6kJZs/JuUQ+JtYJqktUl5ShbA9pvAW/mhHqA6GUSjOa8r6eZFsOke0pKeNXLS1y8At2U77gY+SlrqcUnu4xbSuVg921BZyH5HlZ0HZzsh5TRZucqGVu8l/ULSvg2OwzTgDUmVhAmHVmxrBkl9bd9t+/+Rcn18FOhBigBpyf2VFr1OBnrlPCNIWjkne62dVzWNjkUjOzcAXrJ9LskZtUVxckEQBEEQBEEQBIuJiBhZdnma9BC/CjDC9mxJfwDOzMsi5gHDbc+RdCBwqKS5wIvAz22/Lukk4IbsGJhLytfxVO1Atl+RNBy4RFIlG+RJwKMLYe844Pe8l+j0qpzo9D5SBMYzpKUejTiCtOSjheQMmJbbG825V36/KDZ9L7+vJF+9umqfy4DBtt8AsP2QpJ8Bt0maT1oSNJwUiXGBpO/wXvJVgL/meXyTlItlJClHzCzSkpOBvLc0qR5fzvqVSEuoDmtDW8uvJW2U53UzcD/p+F2ZE8heRznq5B1JBwGnS+pKShq7G+l4fS8vtfpFzW6NjkUjhgHfydfrDOBLzU8xCIIgCIIgCIKgfQnHyBLAdvf8ezQwuqp9WNXrVtuAm2y3StdtezZ1Hjpz2dQFSqfmJJmlvBQV7S2k/Bu17b2rXo8kPejXbhtN61wY1fsPb9Deu6bpoZy8k+y4GJ91dedMyotyRr2+835t2XQJ70WE1LIj0Colue0LSfk+qtueIuUfqe17LK3zeDwBvJu+XVKnqlwq9WybQJpbbfuwRvtUaT5fp/kxUgRRhROydjStr8Wjq16Pq2cDC14fI7O+0bEYXvO+8newwPEMgiAIgiAIgiBYWoRjJFhW2FPS90nX5FOkqIyG2P59ew6eE8DeA9xvu7REZ5Gx/anF1XcQBEEQBEEQBB98rMgx0t6EY2QZpFGURXuQk7SuWNN8aK7AstRYmOiWaiQNJFVCqWaO7W3q6dsY/02ar3bzvpF0BrBDTfOptotJXyWdCBxQ03y57Z+1l31BEARBEARBEAQfFsIx0gaS7rC9/dK2Y2HJ+UJusP187bZqh0Fbuvcxdn9Sng0D+9t+or36rkd26AxenGMsDmx/433s+zNgkZ0gko4FzrE9M7+/Fvhidg412mcqMKRStrjO9hmVpTJBEARBEARBEATLE1GVpg2WR6dIZjiwTjvqFoZ9gCtsf3xxO0UakauoLHfkKjlLYoxjgZUqbbY/05ZTJAiCIAiCIAiCZQdby/TP8ohsL20bllkq34JLGgb8CHiTVFXkMmAi8C2gK7CP7SckjQRmA0NI1WSOs32NpC7Ambl9Xm6/VdJmwAVAZ5KTaj/bj0k6BPhmbr8b+Lrt+XXs6wj8Mfdr4HxS9ZeRwHOkiiLbAd8BPpttvQP4GrBfHd2mwG+B7sCrpAowLzQ4NoOBs0gP2E8Ah+c+zgfmA4/a3rnBvnXnJ2lGPk6fAV4AfgD8ilSi91jbo/KcTyFVNlkROMP22fkc/QR4A+hve2NJ/wMcQqqU8gzwH9u/ySWQzwDWBGYCX7X9SD5/0/Px/AjwXdtXZJtPyH21AP8CziUtX9kib98IuLTyvs6cdwV+Q4rSGgcclavrTCUtIfok8Cvbf62z72hSNZydgG6kKi7fJ12Ll9o+Kev+TirR24W0LOec3D4DOJtUXeZKUsWhycCrtneujgZpo493NQ3mV/lb6U4qGb0q0Ak4yfbVuWLNHNunSfodsLntXSTtAhxh++B6/QI88NjLxZvUnJbOJQmX31q7gmxBvj1sclFz0YODihqAOXNaipqVupZ90wdv+kBR86/ny0FT66z2TlHTs8usogagR6cZRc1Z16xS1PzoE/8pakbP3amoefH1sk+xS/n0A/DciwvcahdgnbXL463YqfzZ+sobZXsG92nunDwwtWtRs3v/Z4uaC0evVdSsvHL7+J4369Ocbuy95Wt39qxSkTL4wqfKf5NjHylft88802ZxLwCO2fPlogbg7uc3LGr2fXqB3OoLcP6q3y9qeu+9SVHz7D/L98A+a88pagBmzClfJ/Nayv8879izfA889fb+RU2vj5RvAhv2Kl8jAJ1XKN8n7p1cvk/MnVseT03kEZg3rzm7u3Qp27TdpuW/t7fndipqJk0pf76t3K2s2bPvw0UNwNWPlq+BVct/3vTqWb6+O1C+v4+5v3z9f3rIzLJBwAPP9ShqXnqlfE0O7Fce6+Vp5WukZ/fy9dZr5ebm9sQr5WDj7l3L481v4k9g6zUea8YkNui3yXLxVP/4E1OW6Yf4fn03XC6OYzURMdI8mwMjgI8BhwIb294aOI9UrrRCb2BrYE9S2dUupDK5tj0Q+AJwYW4fQXr4HEx6GH9W0seAg4Adcvt8oNFD42BgXdsDct8X5Af58cDBtgfbngX83vZWtgeQnCN71epIDpvTSctftiQ5ONparnERcEKuJDMR+KHta0nOkt+14RRpa37dgFtsbwa8BfyU5DDYF/hx1hwBTLO9FalKylclVf6z3AL4VnaKbEVy/mwOfDof3wrnAMfkeR5PKmlboRepMs1e5Eo/kj4NfA7YxvbmJAfGE8C07CCCVDmnbn6QfK5HAgfl87QCcFSV5DXbW9RzilTxju0hpON7NemaGgAMl7R61hye5zQE+GZVezfgbtub2/4x8Dywc4Nz1KiPZpkN7JsdRDsD/6v0X93tJMcOue/ukjrltjG1nUg6UtJ4SeOv+OtFC2lCEHy4aMYpEgRBEARBEDRmuVxysJQYV4mekPQEcENun0h6AKxwme0W4DFJTwL9SQ/apwPkyISnSIk+7wROlLQe8LccLbIrsCUwLn9L0BVo9NXTk0AfSacD/6yyqZadJX2XFN2xGvAQ8I8azSakB+0b87gdSVEbCyCpB9DT9m256ULg8gZj19LW/N4BrsuvJ5IiDOZKmkhyOAHsDgyStH9+3wPYKO97j+0puX0H4Opc7ne2pH9k27sD2wOXV30LU/010t/z+Zskae3cthvJ6TQTwPbruf084DBJx5GcPVs3mPMmwBTbj+b3F5IcG/+X3zeTdHZU/j2RVNq4ci0+SYrweI3kyNg36z5KOi6vkZxPV9IcjfpoFgE/lzSUFF2zLrA28B9gS0mrAHOAe0kOkp1I0UOtyJEq50BzESNBEARBEARB8GHBEd/Q7oRjpHmqY+taqt630Po41j7ENXyos/2XXCVmT+BaSV8jPVheaLsYF2v7DUmbA58iRZ8cSFrS8i45WuEPpGUQz0g6mbRMohaRHri3K437PmlrfnP93tqud4+x7ZaqvCEiRXtc36rTtJSmHN+coqTezNEq9ag+z6UQsCuBHwK3kJbpLIwDoZpm7K6+3mqvxRXy/HcDtrM9My+/qZzn2fWWYtVS6KNZDiYtUdoyO7WmAl3y6ymkvDZ3AA+QHIr9gObiZIMgCIIgCIIgCBYD4Wpqfw6Q1CHnsehDyuVwO3m5iKSNSTkzJkvqAzxp+zTS8ohBwM3A/pLWyvrVJG1QbyBJawAdbFfyRlTyW7wFrJxfVx5sX83REvtXdVGtmwysKWm73HennANlAWxPA96QVFkacShwWz1tHZqeXwOuB47KyzCQtLGkbnV0Y4HPSuqS571Xtn06MEXSAXl/ZedSW9xIigxZqWJz7mt2tudMGiyjyUwGekuqrO5cmOPVLD2AN7JDoz+wbRva6vO+qH20ZcfL2RGyM1B9bm8nLV0ak1+PAO6rcoYFQRAEQRAEQRAscSJipP15GriHlHx1hO3Zkv4AnJmXhMwjJTWdI+lA4FBJc4EXgZ/bfl3SScANkjoAc0nLLp6qM9a6wAVZBykhJ6R8FmdJqiRVPRd4MI8xrmr/Wt3+wGl5qcwKpKUeDzWY55fzviuRlvQc1szBsT1pIeZXj/NIy2ruzbkrXiFVwqkdZ5ykUaTIhJdIS1Cm5c0Hk87HSaQEoX8F7m/D5utyLpHxkt4BriUlhgW4mJQDpdEyJvI1cBhp+U4l+epZTc63Wa4DRkh6mOSIuasN7TnAdZKer8kzsjB9NOJi4B/5Wh8PPFK17XbgROBO229Lmp3bgiAIgiAIgiBoEhcD24OFJRwjbWC7e/49Ghhd1T6s6nWrbcBNtkfU9DObOo4D26eQE3zWtF9KE3knbN/Pe1Ei1e1X0jqnxEn5p6SbAAwtjZv3nUCdiALbJzexb935VY53vX6qzkULySnxA1ozmtbnAeA3tk/OzpsxpDwX5Dwke9QZf3gb9tQ9V6T8MReUlqrYvhn4eJ323m3tlzXDql6PpsG1SEoyW2//7jXvTyfnvKljQ6M+2rSz6vy8SnKy1dPcTHJEVd5v3FafQRAEQRAEQRAES4JwjAQfZM6RtClpOdGFtu9tz84lXQX0BXZpz36DIAiCIAiCIAiCJUc4RtqR2oiD9iQnaV2xpvlQ2xMX15h53DNIFV6qOdV2Wzk1yGVeb66zadf3kaR0obD9xcXc/761bdlZsmFN8wm1yWLrsajHekmxLJzTIAiCIAiCIPiwE0tp2p9wjCwn2N5mKY37jUXc7zWgUeWXDyz1nCULse8iHeslxYf1nAZBEARBEARB8MEmqtIEi4SkO5a2DYsbSddK6plfz8i/15F0RX49WNJnlpJtvSU9uJD79JT09UUcrzany/vSBUEQBEEQBEEQLCsoKmUGSwtJK9iet7TtaAZJM2qTmEoaDgyxffRC9NMuc5bUG7jG9oBmxwXWW5h9avZfYP7vR7cwPPfoxOJNqsPZvyj289RXzyxqJj3fo6h5863m7pnD+4wtal5eqXdRM+m1dYqazVZ/rqh54JV1i5o7xs8sagCO+fRLRc2L76xV1Mx4p3Z14IJ06tBmXmMA1ug6vajpQEtRA7CiZhc1r85drahZ5//Khbo6HvejomZeh85FDcDbdStwt2bq9DWLmq1WLKdi6jr6yqJmws4/LGoGT6+3Mm9BTrx756Km/ybl+R/2zhlFzbkdy77jL2xQLtg1oWWBvOh12ULjipqHO5YD9bac+pei5sIVjixq1ttzk6Jm8hWPFDUAM2aU/3aH335gUfPnnS8vambOKo913LPHFDV/2+7sogZgyPqvFDX9bv5tUdNh4JCy5rkpRc2kwU0VBmTTKX8vat5ar/wvwpyz/reoufozlxU1h71Uvgf+5aPlewnA59f6d1Hz6s9/WtSc94mripqP9OpS1AzpV/48vfk/zd3fD97hhaJmvefvLmpu6PL5ombT1cr/T6w0v/yZ2/nC3xQ1AMfMKV8DZ6/566Jm1La/L2p6divfJwD2HtJxuVijMvmJZ5bph/hN+n50uTiO1UTESLBIVEVQDJM0WtIVkh6RdHEuo4ukrSTdIel+SfdIWlnScEmjJN1Czlch6TuSxkl6QNKPqsb4u6T/SHpI0pG5raOkkZIelDRR0rdze19J12X97ZL6t2H7SElnSrpL0pN5DudLeljSyCrdVElr1OzbO4/dGfgxcJCkCZIOkrS1pDsl3ZfnvUnep9WcJV0kaZ+qPi+W9LkGtvbO87k3/2xfR9NR0q+rjuHXqs7N7bls8SRSVZ2+2d66nzKSekkakzUPStpJ0ilA19x2cRvnppWuNqpF0vGSTs6vvylpUrb3r3XsOFLSeEnj/3zpFfVMDYIg04xTJAiCIAiCDw5Gy/TP8kjkGAnag48DmwHPA2OBHSTdQyrJe5DtcZJWAWZl/RbAINuvS9od2AjYGhAwStJQ22OAw7OmKzBO0pVAb2DdStRDZakLcA4wwvZjkrYB/kDb1WJWJZWV3RsYRUp6+pU8zuBcjrghtt+R9P+oihjJc9zJ9jxJuwE/B/arM+dPAN8G/i6pB7A98OUGQ70MfNL2bEkbAZcAtV8xHQFMs72VpBWBsZJuqBp3gO0pOcpkgO22vn78InC97Z9J6gisZPt2SUfX7LfAubH9vWpdHq8R3wM2tD2n6hy+i+1zSOe0qYiRIAiCIAiCIAiCRSUcI0F7cI/tZwEkTSA5L6YBL9geB2B7et4OcKPt1/O+u+ef+/L77iRHyRjgm5IqyUw/mtsnA30knQ78E7hBUneSc+Hy3D8sWMGnln/YtqSJwEuV6j6SHsr2t+kYaUAP4MLswDDQqWrbu3O2fZukP0hak+Q4ubKN5TWdgN9LGgzMBzauo9kdGCRp/yo7NgLeIZ2bchzue4wDzpfUCfh7Gw6ieudmYSrTPABcLOnvQDm2NwiCIAiCIAiCYDERjpGgPZhT9Xo+5evq7arXAn5hu9XCXknDgN2A7WzPlDQa6GL7DUmbA58CRgAHAscCbxYiIRrZ3FJjf0sT9jfiJ8CttvfN0RKjq7a9XaO9CDgE+C+grcXB3wZeAjYnLX2rlwBBwDG1JYHzMawdt01sj5E0FNgTGCnpt7YvqtPvAuemTnfzaL1cr1qzJzAU+CxwoqSBy0u+mSAIgiAIgiBYmiyvy1WWZSLHSLC4mAz0krQVgFJ+kXoOh+uBw3PUB5LWlbQWKerhjfzg3R/YNm9fA+hg+0rgJGCLHI0yRdIBWaPsPFncvAWtFvf3ACpZq4YX9h1Jcuhge1Ibuh6kyJsW4FCgYx3N9cBROcoDSRtL6taEvQsgaQNSBM25wHmkpTgAcyv90+Dc1NG9BKwlafW8xGevPEYH4KO2bwVOyP21a8LWIAiCIAiCIAiCZgnHSLBYsP0OcBBwuqT7gRupE1Vg+wbgL8CdeVnLFaSH9+uAFSQ9TEoaWikDsC4wOi/Z+TPw/dx+MHBEHushoG4y03bmVmDTnGz0IOBXwC8k3Uch6sT2S8DDwAWFMf4AfDnPqz/1I0DOIyVXvTcnOz273vi2XyPlH3mwUfJVYBhwf57DQcCpuf0c4IGcfLXRuWmlsz2XlKD2HtL5r5Qy6Aj8OZ/v+4DTbL9ZOA5BEARBEARBEASLhVhKEywSlZKstkdTtWSkunRtzi+ybc2uI/NPdV+n8t4DeDWfbjD8AnUQcx6NPUp2Z+3wqtdTgQENtvWuet29Vp9zhmxV0311DpCTsm4kNXOWtBIpL8clBVsfAwZVNZ1Qx44W4Af5p5rRtF7Og+0vFsa7ELiwTvsJlbEzdc9Nrc72acBpdaQ7tmVHEARBEARBEAT1sWMpTXsTESNBsITJFWseBk63PW1p2xMEQRAEQRAEQfBhJiJGgg8skk4EDqhpvtz2z5aGPRVs3wRsUN0m6VPAL2ukU2zvy2JA0kDgTzXNc2xvszjGC4IgCIIgCIIgWFYJx0iwWJB0h+3tl6YN2QGy2J0guUrL8bb3krQ3sKntUxamj1xR5vqi8L0xR+cxxy/EPsOBG2w/n8sTN1XFR9I+wKOFJLFN64IgCIIgCIIgWHSiKk37E0tpgsVCezhFGlSxWaaxPWphnSJLAkkdSZVy1lmE3fcBNm1HXRAEQRAEQRAEwTKDbC9tG4IPIJJm2O6eoylOBl4lJQv9D3CIbedSvqcC3YA5wK7AfsDnSeVbO9r+hKTvAAcCKwJX2f5hHuPvwEdJ1W5OtX1OdgD8ERgCGDjf9u8k9QXOANYEZgJftV2pklJr+0hgdu5jFeA429dI6gKcmdvn5fZbayJGhgNDbB8taW3gLKBP7voo23dIOgT4JtAZuBv4uu35DWw5k5TgtStwRdXcR+cxx0vaHfhRPj5PAIfZniFpKnAp8Engt9mW54BZwHa2Z9UZ7xRg7zy/G4C/AdcA0/LPfsAuwJHZ/sdJZYQH19H9scrGNYDxtntL2oxUjaczyTm7X04yW23HkXkMDv7W2Vvu9Jkj6x2ehWLs7S8UNccc0rWoufrOlZoa77VXZhY1q65WHu9/uv62rJn2raLmI2svUBRqAQb3m1vUADzx4opFzVPPzClqDh/2fFHz4OvrFzWz55Z9/M1+1M2ZW/4GZvdeDxQ1f5o4oKhpaSkbtcZq9Sp0L8jbM8t9rbtWWXPH+PJ1u/LKnYuaZq7/AQN6FjUAa6/WUtTceNv0ombv3epVMW+NVD5GU14sz/+gdf9d1ADcNbe8erGliW8F//aP14uaL+zTo6iZOLU8t03271/UAAyadFVRc/7dGxU1x/W/uag5Nb2M3gAAIABJREFU86ndi5oVO5eP456bTi1qACa+Vr4v/Xv87KKmW7dORc0Lz71V1Gy0yapFDcDTT5X7+v5eTxc1Nz4/sKh57MnyZ8C0N8vH6LC96v57tACj7lq5qJnfxD1320Hlz5MtupUDY6fM71PUjHmw/D8AwMc2LGsu/kv5vB126HpFzcNPl7+TdBPHsXu35r5736Pvo0XNPyaX7xNvTi9fJ/PmNvePwI++1Gm5CMV46PEXlumH+M369VoujmM1y9038sFyyceBzYDngbHADpLuIT20H2R7nKRVSA/skKrODLL9en7o3wjYGhAwStJQ22OAw7OmKzBO0pVAb2Bd2wMAJFX+8z4HGGH7MUnbkMrg7tKGzb3zmH2BWyX1A74B2PZASf2BGyRt3EYfpwG32d43O2y6S/oYqQzuDrbnSvoDqdTwRQ36ODHPsSNws6RBtt99KssOh5OA3Wy/LekE4DhSmVyA12xvkbVfoY3lN5JWB/YF+mfHVU/bb0oaBVxj+4qse9P2ufn1T4EjbJ9eR9fouIwgObIultSZVL63FbbPIZ0zzr6BZfrGHwRLm2acIkEQBEEQfHCIpTTtTzhGgiXBPbafBZA0geR0mAa8kEv6Ynt63g5wYy6FC7B7/rkvv+9OcpSMAb4pqZKc9KO5fTLQR9LpwD9JzovuwPbA5VUP66WvvC/LZXAfk/Qk0J9UYvb0bO8jkp6idXneWnYBvpT184Fpkg4FtiQ5ciBFgrzcRh8H5uiJFYBepKUq1V9Xb5vbxub+OgN3Vm2/tDDPaqaRImX+KOkaUgRIPQZkh0hP0vloOjdK5k7gREnrAX+rjRYJgiAIgiAIgiBYkoRjJFgSVMdTzqd83b1d9VrAL2yfXS3Iy1d2Iy0JmZmXlnSx/YakzYFPkSITDgSOBd603VSy0UztV7Dt9ZWsgAttf78olDYEjge2yvMaSVo2VNvfjba/0KCbtxu0L4DteZK2Ji1p2h84mvpRNSOBfWzfn5cODWvQ5Tzey2P0rt22/yLpbmBP4FpJX7N9S7N2BkEQBEEQBEEQtCeRfDVYWkwGeuU8I0hauUGy1euBw3PUB5LWlbQW0AN4IztF+pMiJypLSzrYvpK0xGSLHI0yRdIBWaPsPGmLAyR1yLlJ+mR7bycteyEvoVk/tzfiZuCorO8oqUdu2z/PAUmrSdqgwf6rkBwb03K+kk/X0dxFWprUL/fXrY3lPW8BDRfh5mPcw/a1wLeBzRvstzLwgqRO5OPRQDeVFB0DydFSGacP8KTt04CrgUGNbAqCIAiCIAiCoDVGy/TP8kg4RoKlgu13SLk2Tpd0P3AjC0ZDYPsG4C/AnZImAleQHr6vA1aQ9DBwCslBALAuMDov2fkzUInMOBg4Io/1EPC5golPA/cA/yLlJplNykvSIdtxKTDcdlvZxb4F7Jz1/yGV8Z1EctjcIOmBPO9eDY7R/aQlRI/kYzC2juYVUrWZS3J/d5KW/dRjJHCWpAk5L0stKwPX5H7+TcpVAvBX4DuS7suOov8hJY0dm22jge43wFGS7gPWqNIdCDyYz9EAGudXCYIgCIIgCIIgWOzEUppgsWC7e/49Ghhd1X501etx5EiPKkbmn+q+TiVVr6mlXgQFpOSttfZMAfYo2V3FTbZH1PQxGzisTt+jyXO0PZJsv+2XqOOAsX0pTeb+sD28Qfuwqte3kCrX1Gp617y/EriyjbFeICWcrW0fS+syvGfmn5IOWkeDnJR1p5CcWUEQBEEQBEEQBEudiBgJgiAIgiAIgiAIguBDS0SMBB9aJJ0IHFDTfHmjKI3FbMvdLFgp51DbExfTeFcBG9Y0n2B7YSvMBEEQBEEQBEGwBLGXzzweyzIRMRIsd0jqLenBmrYhkk7Lr4dL+n1+fbKk4+v1Y/tnwJvAV2wPzj8/a0c737WjhO1tqmyo/EzM/ZwnqXaJSjPjD8tld+uNt2+d8Ra7U6Tapvx6+8U9ZhAEQRAEQRAEQVtExEjwgcD2eGD80rZjcWD7K0vbhsXEMGAGcMdStiMIgiAIgiAIgg8x4RgJlmty6dcrSVVbPmF7r0Xo5lBJ55H+Hg4nOVgmA9vbfkVSB+BRYLtcBabWhpHAbGAIqcTucbYrkRrrSLoO6AtcZfu7kg4HBtk+Nu//VVLS0pOAy4D1gI7AT2xfKmk0cLzt8ZL2AH6et79qe1dJW5OS03YBZgGH2W6rjHDF7rr7SdoMuADoTIoq2w94voFt/w/4LNCV5OD4mm3X2LwGML46Gayk3sAIYL6kQ4BjbN9etf1I4EiA//7haex9wOFtzuXxl7qVpstGm65Z1DzyUvmW2LHD3KIGoN9GPYqaGTPmFTVzPrZNUdP53o5FzVqrlwMEH3qqc1ED0KV20Vcd1ulV7qtzy+yiZsbsst0fXW1WUXPFjeVjDdC7d8OK1u/y9EcaVdh+jx4rl+1+/MmZRY3dxMEGPla7MK4OHZuIEe3atVN5rH5lzcR59Qpftabnyi4bBGzQ882iZpUe5fEmPVX++z5ws4eLmjHP9S1q3uldvicB9F/p6aJmysx1i5p1NuhZ1MyYU75PzJgxv6gZNOmqogbggU33LWo6XzypqJnSY4F86guwao/yxT1zVvl6W+/J24oagOfWObCoWX31BQrtLcC8eWWb+vQrn9vnnn27qAHo1r18X36R8vXWDPPmtRQ1a661UlGzUseXmxpvhU6rFDVdmrgJziv/CXDWXY2K/73H9OnvFDXbbNFc4P6Nt00ratb+6GpFzbyW8nh7Dyzfk66fvH5R03/d8ucywFovlVeM91qjX1Ez9am2ikQmdhhS/pxYnmhZTkviLsuEYyRYbpG0CalE7HBgVeATi9jVSrYHSxoKnG97gKQ/k0r8/h+wG3B/PadIFb1JFV36ArdKqtzFBwMfB+YAkyWdTnIwnCjpO7bnkirdfI1UNed523vm+bV6spa0JnAuMNT2FEmVT8FHgJ1sz5O0G8lxsl8T82603wjgVNsXS+pMcoR8poFtv7f949z2J2Av4B+lgW1PlXQWMMP2b+psPwc4B2DMQ2839/QUBB9SmnGKBEEQBEEQBI2JHCPB8sqawNXAwbbvf599XQJgewywiqSewPnAl/L2w0kRFG1xme0W248BTwKVrxNutj0tl/qdBGxgewZwC7CXpP5Ap5xPZCLwSUm/lLST7dqvCLYFxuTSw9h+Pbf3AC7PeVd+B2zW5Lwb7Xcn8ANJJ2R7Z7Vh286S7pY0EdhlIcYOgiAIgiAIgiBYJgjHSLC8Mg14GtixHfqqjUiw7WeAlyTtQooE+dfC9pF/V8f2zee9KK3zSJEuh5GdLrYfBbYgOSF+mpepNMNPgFttDyAtaynH77axn+2/AHuTltdcK2mXerZJ6gL8Adjf9kBSNEtl7Hm8d39p1p4gCIIgCIIgCAoYLdM/yyPhGAmWV94B9gW+JOmL77OvgwAk7QhMq4qGOA/4M6mEb2nV6QGSOkjqC/Qh5ShpiO27gY8CXyRHrEhaB5hp+8/Ar0mOiGruAoZK2jDrK0tpegDP5dfDC3ZWU3e/nLflSdunkaJyBjWwreLweFVSd2D/qr6nAlvm19Xt1bwFlBM6BEEQBEEQBEEQLEbCMRIst9h+m5TT4tukpKeLymxJ9wFnAUdUtY8CulNeRgMpeuUeUmTJiLx0psRlwFjbb+T3A4F7JE0Afgj8tFqcc5wcCfxN0v3ApXnTr4Bf5DksTN6gRvsdCDyY7RgAXFTPNttvkqJEHgSuB8ZV9fEb4Kjc9xoNxv8HsK+kCZJ2Wgi7gyAIgiAIgiAI2o1Ivhosd9ieSnpgJz+cb5U3jcptI4GR+fXJhb6GtbF5c1LS1UeaMOsm2yNq+n7Xjvy+tmLOjqTcHpXt15McDA1ttP0vapb12L4T2Liq6aTcPhoY3cjgNvY7BTilRt7ItpMq+9W0PwIMasumvDxnUO2+QRAEQRAEQRA0xl4+l6ssy0TESBDUQdL3SGWAv78Y+u4p6VFglu2b27v/IAiCIAiCIAiCoHkiYiT4UCDpDGCHmuZTbdddJlMvakLSicABNdLLbQ9fGFtylMvGRWE7Iekw4Fs1zWNtf2NJ2RAEQRAEQRAEQbCsEo6RAEknAzNs/6amfR3gNNv7SxoGHG97L0l7A5tm58FSo9q+krY9nAC2fwb87P32s6TJzp8LACT1Bq5p63hIuoRUdvcC279rpAuCIAiCIAiCYMmzvFZ+WZYJx0jQENvPU6eiiO1R5HweSwJJK9ieV8eOuva1V//LAkvaNkkfAbay3W8h9llmj18QBEEQBEEQBEEJ2V7aNgTtQI4EuI5U0nV7UoWQC4AfAWsBBwOPA+eTysnOBI60/UCOGOkL9CNVEPmV7XOrogsG1ESMDAeG2D46VympsAmwBzAeOJ2UILUTcLLtqxvY3QU4ExgCzAOOs31rHuPzpKowHW1/osGcK/YNB/YGVspzucr2d7NuD+DnQEfgVdu7Vs25D6mizCGkpTPDgBWBM2yfncvQXg2smudyku2rJXUjVZVZL/f7E9uXStoS+G22+1VguO0XGsz9q6QqM53zuTnU9kxJI4HZwMeBscB0YMNs6/qkKjzbAp8mldv9rO25jcbO7efnYW8APm17QAObHgA2IpUbPoZUUvesfFyfAA63/Yak0cAEUgLZS0hljc/KNgIcZfsOSYcA38xzvBv4et7+R9I5N3B+bWSKpCPzseH0//7Klod/dtd65r7LSxf+pc3tAPNPPLWouenxDYuanis3d8/cfs1yzt6V5rxZ1Exoqa3avCAbrTS1qLnz5fLqrQcfnVvUABy/+b+Lmie7bV7USOVjuVb9P59WPDG3T1Gz2opvFTUAa73zbFHzVMey37DX6V8tarqO+HZR0+XOa4sagIeH/ndRM3t+56JmlU5vFzUb3X1eUXPH5scVNVu9c1tRA3DCLdsUNRv2KRcm++aKZxc11671taJm49VeLmpmze9S1ABs8va4ouaeFYYWNVtdf3xRc8NO5XvgNiPL3zVcsOOlRQ1A587lNHaDDt60qJlydfle+sa0+UXNt1//QVFz09a/KGoA1l2lfD8Z+GC5oN38dcqfOR2fn1LUPD9476IGYJ37rylqXhq0R1HT6YyTi5o3vvHbomaDG8rX5DWDmzsn/dd8tahZ+SfDi5oLd72qqNl6YPnanjG7Y1HT7GfuFpuWv8f+zLSLippXNxhS1Kwyo/yZO2mlrYua9c8eUdQAHL/ir4uas9b6TVEzfa+vFDUPzmxuFfsegzsvF6EY/3n09WX6IX7LjVdbLo5jNREx8sGiHykHxuEkx8gXSQ+uewM/AJ4B7rO9j6RdSGVYB+d9B5EetrsB90n6ZzMD2h4MIOmzwHeBO0jOmFtsHy6pJ6nM6025vG4t30jdeKCk/sANkip3ri2AQbZfb3L+g0nOhDnAZEmnkxwM5wJDbU+RtFqVflNgR9uz8oP4NNtbSVoRGCvpBtIx29f2dElrAHdJGkVyAD1ve888/x6SOpEcQp+z/Yqkg0hLbw5vYO/fbJ+b9/8pqVTw6XnbesD2tudXOXF2zjbfCexn+7uSrgL2zOer0dgXAEfbHiOp9Am0N8nZVDmvDwDH2L5N0o9JpXqPzdrOtodk3aXAbbb3ldQR6C7pY8BBwA7ZcfMHkoPuIWDdinMmXyOtsH0OcA7AzNv+ukzf+INgadOMUyQIgiAIgiBoTDhGPlhMsT0RQNJDwM22LWki0BvYANgPwPYtklaXVPma7Wrbs4BZkm4FtiZFBBSRtBHwa2Dn/AC8O7C3pMpXWF1IkQ4P19l9R7IzwPYjkp7ivcSkNy6EU4Q832nZpkl5vqsCY2xPyWNU9zcqzxlgd2CQpMrXZT1IkRPPAj+XNBRoAdYF1gYmAv8r6ZckR8LtkgaQomRulAQpkqQt1/uA7BDpSYryqC6He7nt6q/A/pWP7cTc73W5vXJuN6k3dnY69LQ9Juv/RIo0KSKpR9638rXuhcDlVZLqrw13Ab4EkO2eJulQYEtgXLapK/Ay8A+gT3Zc/ZMUxRIEQRAEQRAEQRNEud72JxwjHyzmVL1uqXrfQjrXbcXs1X4r39S39HmpyWXAV6uWjIgU0TC5mT7aoBzT3Zrq+c+nfH1X9y9SZES1c4K8RGdNYMvsmJgKdLH9qKQtgM8AP5V0M3AV8JDt7Zq0dySwj+378zjDGtgGeW62WyTN9Xtr4CrnVvXGrheN0Y6Uzo+AC20vUPJY0ubAp4ARwIE0jqoJgiAIgiAIgiBYrJQXyQUfJG4nLWUg5wx51fb0vO1zkrpIWp30gF5e+Jw4n1S95PaqtuuBY5TDBCR9vEmbNiZFlrxfh0o1dwFDJW2Yx1itge564Ki8HAZJG+c8Ij2Al7NTZGdSFEqlIs5M238mRctske1eU9J2WdNJ0mZt2LYyKaqjE/kYvA/qjp1LA78pacesa3qcHH3zhqSdctOhQKOkADcDR+WxO+Zok5uB/SWtldtXk7RBXpLUwfaVwEmkYxcEQRAEQRAEQbBUiIiRDxcnA+fnvBEzgS9XbXsAuJWUfPUntp/PyU0bImkDUlWYjSVVvvH/CvAT4P+AByR1AKYAezXo5g/AmXmJyDxSwtA52afyvsn5No4E/pZteRn4ZB3peaQlKfdmh84rwD7AxcA/sn3jgUoWuIHAryW1kCJxjrL9Tl6Kc1p2DKxAOg4PNTDvf0gJSV/Jv1d+H/Nsa+zDSOfdLPyylS8DZ0laCXgy91WPbwHnSDqCFK1zlO07JZ1EyhvTgXScvgHMAi7IbQALRJQEQRAEQRAEQVCfKNfb/oRj5AOC7amkHBOV98MbbNunzr4nl/q0PRoYnV+PJC0DgcZRR+XU/qmv2dR52K4Zo9G+1fa10tveq+r1v4B/1ex7cs37FlKC2npp6+stjZlK65wglX4mAOUSAkl7JqkiT2378IKt3ettazS27f8A1SVCvtuGTVNpfR1NICXlrdUNq3n/EvC5OrpLaZ2LpEJEiQRBEARBEARBsEwQS2mCIAiCIAiCIAiCIPjQEhEjwRJB0qeAX9Y0T7G9bxP7DiRVU6lmju1t2su+xYmkM4AdappPtX3B0rAH3t/5CIIgCIIgCIJg6RFVadqfcIwE7yLpZGCG7d/UtK8DnGZ7/5y09Xjbe0naG9jU9imlvnO1lwWWnjRDLkE8uA2737VvUfpf3Nj+Rnv2lyvYDLF9tKQRpCSwFy2kTYt8PoIgCIIgCIIgCD5IxFKaoIjt5+s5HWyPasYp0l5IquvIa2Rfe/W/LGP7rIV1iixrLI/HPQiCIAiCIAiCRUfSHpImS3pc0vfqbD9O0iRJD0i6ORf+qGybL2lC/hnVLvbYbo9+gmWEXEnmOlKZ2u1JZXcvAH4ErEUq1/o4qcxuH1J1miNtP5AjRvoC/UjVaX5l+9zc5zW2B9REjAznvciFCVVmbALsQaricjopmWcn4GTbVzewuwspEekQUnWa42zfmsf4PNAd6Gj7Ew3mXLFvOLA3sFKey1W2v5t1ewA/BzqSShXvWjXnPsDTwCHAKaSSxSsCZ9g+W1J34Gpg1TyXk2xfnUv6Xgasl/v9ie1LJW0J/Dbb/Sqp2s4LDeY+Grgf+AQpiutw2/fk0sL1zlP1cT+ZHOUjqR9wFrAmqTLMAbafkPQd4MA8n6ts/7CBHb1J185/SMlRHwK+ZHumpF2B32T7xpFK8w4Cvm/785I+B/yVVN64AzDJdh9JfYEzsk0zga/afkTSSGA28HFgrO3j6tkEcMnY8k1q3Z4zSxKuv7vsfzly6NSi5vw7+hQ1AK+/Pquo2WD97kXN0fN/V9Sc163h4XuX9ddqKWp26vTvogbgle4bFjWj7l+vqNlj0MtFzcSX1i5qXp9eDift1rUoAaBDE5Gpn17znqLm6he2Lmqmzyh//q7YublQ2a4rljUD1plW1PzpuvJ4vXp1K2pmzppf1PTr3bmoAZg1u6x5+dW5Rc2h2z1d1PzzkfLf9wsvvlPU/E+fK4oagKtX/GJRs/Oq9xY1PxxVtvuHn3uqqLng/oFFzTF9byxqAKb0KOfYHvPYmkXNhp/rX9Q8/rdHipouK5av7aF9nytqAB574yNFzd0PzCtqZrxVvpZmzypf2wMGrlrUANx9R91/Q1rxk8PLn6fPzelV1Ex5tXyfmDip/Dn5P0NuK2oALnplj6LmtdfL5+Tbm9xU1Dyw0o5FzZgHyx86mzX37wSvz+hY1Nx51+tFzVf2LX8ffvsjPcr2vFG+Jrcd1Nx379t1Ln+e3ji9Xg2E1kx6rGzTwE2a+x7ugG2b+U9g6XPXI9OW6Yf4bfv3aPM4SuoIPEqqFvos6fniC7YnVWl2Bu7OzyJHAcNsH5S3zaguSNEexDe1H0z6AQcAh5Musi8CO5IcBj8AngHus72PpF2Ai3hvqcogUhWSbsB9kv7ZzIC2BwNI+iyp6skdJGfMLbYPl9QTuEfSTbbfrtPFN1I3HiipP6nE68Z52xbAINvlu35iMOmBew4wWdLppIfwc4Ghtqdkp0OFTYEdbc/KpX2n2d5K0orAWEk3kI7ZvranS1oDuCt7J/cAnre9Z55/D0mdSA6hz+VywQcBPyOdj0asZHuwpKEkZ8iAfPwanad6XAycYvuq7GjqIGl3YCNga0DAKElDbY9p0McmwBG2x0o6H/i6pN+TKv7savtRSReRHCO/r7JnJ+BBYCvSfeXu3H4OMML2Y5K2IZVn3iVvWw/Y3vYCT1D5PBwJcMR3zmLXzx3ZxrSD4MNNM06RIAiCIAiCZYitgcdtPwkg6a+kCpfvOkZs31qlv4v0BfZiIxwjH0ym5LwcSHoIuNm2JU0EegMbAPsB2L5F0uqSVsn7Xm17FjBL0q2ki3bCAiPUQdJGwK+BnW3PzQ/le0s6Pku6AOsDD9fZfUeSM4EcUfAUUHGM3LgQThHyfKdlmybl+a4KjLE9JY9R3d+oPGeA3YFBkipLc3qQHAvPAj/PjosWYF1gbWAi8L+SfkmKWrld0gCSY+NGSZAiSUpf01yS7fr/7J13mFXV1f8/X3oTEOwVxYpShLEhKhpLNGg0tsQKMTH2n/G1vdEoxpgQTeyJRn0VI8Yo9qixRMWChSIdxQYqiCiIwNCHWb8/9r5w5s69s+9QZAbX53nmmXP3+Z591t7n3jtz1ll7rdcktY6OpF4Uv05VkLQesLmZPR71i2L7IXFMo6K0VRxPMcfI52Y2NG4PAs4HXiS8pz6I7fcB55jZTZI+lrQz4X1yA6FccEPg9Rhl0xMYHOcBQtRKjsGFnCLR/jsJTpWSIkYcx3Ecx3Ecx6k3bE548JxjKlBTYY3Tgf9kXjeTNIKw0mCAmT2xqga5Y2TdZHFmuzLzupJwzWuKN8u/CS3ppjTeBD9MWCqRcwIIOMbMJpXSRw0UijCpiez4l5F+n2f7F3BeTE66ojEsX9kQ6BGdPlOAZjGCojtwOPB7SS8BjwMTzCwd+7eClZr3EhDwRzP7+xqy4zXgMMJ76r+EyJKGwMWEJTXf5qKJClDb6+o4juM4juM433vqelWabPR35M744HNl+jqZkG4hm1JhazObJmlb4GVJ48zs45W32JOvfl95nZBrhJgzZKaZzY37fiypmaT2hDwbw0vs8x7gXjN7PdP2PHCeYriApN1KtGkHQmTJqjpUsrwN7Cdpm3iOdkV0zwNnxeUwSNoh5hFpA3wVnSIHEKJQchVxFpjZIEK0TPdo94aS9o6axpJ2SdiXWy/Xi7CUZw41X6cqmNk8YKqko6K+qaQWcTw/j44rJG0uaaMa7NgqZzdhCdYbcTwdYg4TgFOA3KLf14ELgLfM7GugPWE5zvho62RJx8VzS1LXxDw4juM4juM4jlOPMbM7zaws85PvFJkGbJl5vUVsq4Kkg4DLgSPNbPnDbzObFn9/AgwhpFFYJTxi5PtJf+AeSWMJCTFPy+wbC7xCSL56jZl9EZNyFkUhQ/CxwA6Scnk0fgFcA9wEjJXUAJgM9CnSzd+A2+NynwpCstLFmSUYq0TM9XEG8Fi05StCsp987iYsN3o3OnS+Bo4i5O/4d7RvBJDL9NYZuF5SJSFq4iwzWxKX4twiqQ3hc3YTIZlpMRZJGkVI7Jqbw/4Uv06FOAX4u6TfRVuOM7MX4lKXt+JclhPW5xXLejkJOCfmF5kI3G5miyT1IyyJySVfvSPq3yEsKcotzRkLbGIrsjqfRLiuV8Sx/YuQaNZxHMdxHMdxnO8nw4Ht40PracBPCQ9llxMfqv8d+KGZfZVpX5/wYHpxzP24D3DdqhrkjpF1DDObQshvkXvdt8i+owoc2z/Vp5kNIXjlMLOBhKUTUDz66Fcl2r0I6FegPXuOYsdm7auiN7M+me3/UHVtWrUxm1klIUHtbwqcqtDSmCmEqIx8m0YT8m2UyiAzuyCvj28ofJ0GEseYtd/MPmRFYtOs/mbg5hLtqDCzaomNzOwlCnhiY26WppnXZ+Ttn0xIUJt/XN8S7XEcx3Ecx3EcJ4NRt5fSpDCzCknnEu6jGgL3mNmE+IB3hJk9RYjGb8WKfIWfmdmRwM6Eh8GVhHvQAdlqNiuLO0Ycx3Ecx3Ecx3Ecx/nOMLNngWfz2q7MbB9U5Lg3CVH7qxV3jDjfKZIOBf6U1zzZzI4u4djOwP15zYvNrKYMxnUGSX8lhHpludnMen/HdrQHXiqw6wdmtmuBdsdxHMdxHMdxnHUWd4w43ymx2ku1pSclHjsO6BZznjxd6k18TEj6weoIsYr99QVeMLMvanOcmZ2zOs6/qpjZLKBYpZjlxISvF2WXI2X2TQHKzGxmbc4taSDh2j1Sm+Mcx3Ecx3Ecx3HWFF6Vxvk+cBTQqdCOmEy0tvQFNlsVgxzHcRzHcRzHcVYGM9Xpn/qIVhSPcJy6iaQLWVGp5W7gCeA5YCShPO4E4FQzWyBpAHAkobLNC8BjwNPAnPhzDPB/wGigF/AgYY1pIAKSAAAgAElEQVTa8igGSeVmlitveymhikslIXHrCELi02nAQmDvmIA03+YpwMPAYVF3opl9JOkI4AqgCTALOMnMZkjanxUJUo2QuLUV8BDQmhDddZaZvS7pdmB3oDnwiJldFc95OHADMB8YCmxrZn1iueFbCQlqGwP9zezJEua9N/A7YB6wHaFa0dlmVpmNGMm/PmZ2Uzz+VOCiOJ6xZnZKNmJE0jWEMl2nm9myYnZc82BF8kuqXdu0f2vWNxVJzfptGyY1U6ctSmpKpVmztN0tWqRtmleeHlvjRuk/UkvTUw3Adh2aJDXHNXksqblmwuFJTYsW6Tk6vGxeUvPvd1olNQC/2PvDpOalaQX9rFWY9W16Ljdql74mM2ZWJjUA58z/Q1JzzwZXJDUzZy0t6XwpFi9O2338fgWrj1fjkaFtkpomjdPPeSoq0jaVUgmtadP0uTZsn/7cAkyfkf7sLliQ1jRvnj7fwoVFv2aX06iEeWy9XmnPE9Zvk+7ry6/TY2vdKj227X6yU1Iz9oF00GiTJqU9LzxHf01q7m95blIz9Yv0561BCSaVcm0BNt+saVKzrISuWrVMf06mf5W+tlbC11ujEv52ATRpvHpuxOaVpyegYcP0uUrRLFtW2t/c8nnp90kpn90GJdhUyv8KpXxPNi7xeixZkn4TnLT31KTmgbe2SGpKrXR55UklvunWMkMnltfpm/h9OrWqF/OYxZfSOHUaST0I1Wr2BEQoD/sqsCPhhnpoLC17tqR7gaOBnczMJLU1s28lPUVVxwdAEzMri68HFjn3YcCPgT2j06WdmX0TMyhfZGYjEubPMbPO0UFwE6FU8RvAXtG+XwCXAP9DcCCcE8fTClgEnAE8b2bXSmoItIj9Xh7taAi8JKkL8AGhnNV+ZjZZ0oMZOy4HXjazn0tqCwyT9F8zm5+wH2APQrTNpwRn1E+A5ctgCl0fSa8CSwgOoJ7RedIub26vB9YD+mVK+2b3nxHHz5Gn/42yH/yyBFMd5/tJKU4Rx3Ecx3Ecpzi+lMap6/QCHjez+WZWTogA2Rf43MyGRs2gqJtDcCj8n6SfAAtq6PehEs59EHCvmS2A5eVza8ODmd+5Ur9bAM9LGgdcDOwS24cCN0g6H2hrZhWE+t79JPUHOptZ7rH48ZLeBUbF4zsBOwGfxPK42XMDHAJcJmk0odRyM2CrEscwzMw+iREdDxLmOUux63MgMDiXgyRv7n4LtDGzMws5RaL+TjMrM7Myd4o4juM4juM4zgoM1emf+og7Rpz6Sv4NtUVnwh6EiIY+hAiHYmSjJSqInwVJDQjLXFa3jbntW4HbzKwz8CuCkwIzGwD8grA8ZqiknczsNcKSmmnAQEmnStqGEF3yAzPrAjyT66MGBBxjZt3iz1Zm9t5KjKHQ65VhONAjP4rEcRzHcRzHcRxnbeCOEaeu8zpwlKQWMVfG0bFtK0m5KIwTgTfiEpQ2sSb2r4Gucf88wrKNYkwBesTtIwl5OABeJERstADI3Min+stxQub3W3G7DcHRAXBaTiipo5mNM7M/ERwHO0naGphhZncRcqt0J+QbmQ/MkbQxIYcJwCRg21ixJ3tuCFWAzlNcQyRpt/h7c0mFyvZm2UPSNtFhdAJhKVCWYtfnZeC4WBqYPCfIc8AA4BlJpcyj4ziO4ziO4zjOGsNzjDh1GjN7N+YAGRab7gZmExwB58T8IhOB2wlOhyclNSNESVwYj/kXcFdcpnJsgdPcFY8bQ7hpnx/P/ZykbsAISUuAZ4HfEJKv3iGpaPLVyPqSxgKLgZ/Ftv7AYEmzCc6DbWL7BZIOICR5nUBI9PpT4GJJS4FyQoLZyZJGAe8DnxOW4GBmCyWdDTwnaT7BuZLjGkKOk7HRwTGZEFGzKSFapiaGA7exIvnq49mdha6PmY0CkHQt8KqkZYRlP30zxw2OTpGnJB1ewxw6juM4juM4jpOhsk6nXq2fuGPEqfOY2Q2EaitZCqWgX0BYSpN//FCqluvtnbd/BrBXpunSzL4BhOiGrP5R4NESTL/ezC7NNsRqMNUqwpjZeQWOvy/+5Gv7FjnfK2a2U4wM+Suhgg7R6fCrAvq9oq4gZjaEsJSn0L4Ome1C1wczq2Z/1nYzuwe4p9j5HcdxHMdxHMdxvgvcMeI46w6/lHQaIUfKKEKVmqKY2W3fiVWO4ziO4ziO4zh1GHeMOM4qIOlxViyHyXFpNqLiu8LMbgRurO1xkjoD9+c1LzazPVeLYY7jOI7jOI7jrDbqa+WXuow7RhxnFTCzo9e2DauKmY0Duq1tOxzHcRzHcRzHcdYGXpXGcdZxJB0lqVNameynTNItcbu3pJ6rbp3jOI7jOI7jOM7aRWae0tZx1mVi1ZinzeyRWhzTyMwqanjdHyg3sz+vbJ+lMnRiefJLqsf0x5L9PN3q5KRm3oK0r/ijyYuTGoBD9lyW1CxY0jipmbMwHdj37bx0OOX8henv+rlzS7s8++2WHtv6TecnNTMXpqs1j5ucnqNWLdLjr0ibDMBOWyxKajo1fj+pabZ4TlLz+Kz9k5rWLSuTGoAmDdPXd/PWaZuGTFw/qTmr3eCk5jEdl9Tss9nHSQ3AP97aOqlp0iT92T3ni4uTmps3vi6p2Wmb9LlaNintDbfreh8lNR8uyl+tWZ1Nms9Oav773iZJzSljzkxq7u96R1JTKqd/dmlS88D26Wvyzbfp+e5yUvr5wILX30tqSmXrtvOSmgpLv5faNC5Pap4Zs3FJNh3Z7YukpgHp75ytPnoxqfnL7L5JzQFdFyQ1b01qldQArN86/XfgxGUDk5rb5p1a0vlSbLFJ2p5Jn5T2N3fJkvQ1+XHP9N+uUZ+1SWq6bDk3qWnZKH2u7V4vmtu/Cre1uSqpOfGVE5Ka+3r9K6npukNp97x9ujeqF2tUhowv4R+7tUjvXZvXi3nM4hEjjrMakHShpPHx54LYdqqksZLGSLo/tm0s6fHYNkZST0kdJI3P9HVRdDwgaYikmyWNjn3vIamBpA8lbRg1DSR9lHudZ1dP4Ejg+thHx/jznKSRkl6XtFPUDpR0h6R3gOsk9Zd0v6ShwP0xSuRpSR2AM4Ffxz73jWN4OY73JUlbFemzVLvPkDRC0ognH/bCNY5TE6U4RRzHcRzHcZzieI4Rx1lFJPUA+gF7AgLekTQcuALoaWYzJbWL8luAV83saEkNgVZA6hFtCzPrJmk/4B4z21XSIOAk4CbgIGCMmX2df6CZvSnpKTIRI5JeAs40sw8l7Qn8DTgwHrJFtHlZdM50AnqZ2UJJvWOfUyTdQSZiRNK/gfvM7D5JP4/jPKpAn3NKtPtO4E4oLWLEcRzHcRzHcRxnZfGIEcdZdXoBj5vZfDMrBx4DyoDBZjYTwMy+idoDgdtj2zIzS8e2w4NR/xrQWlJb4B4gF+/5c+DeUgyV1AroCQyWNJpQ0nfTjGSwmWVjkp8ys4UldL038M+4fT9hTgr1uVJ2O47jOI7jOI7jrCk8YsRx1j4VVHVSNsvbnx8xYWb2uaQZkg4E9iBEYZRCA+BbMytWhSY/MUQ6UUSa5X2sgt2O4ziO4ziO4wCeJnT14xEjjrPqvA4cJamFpJbA0cAI4DhJ7QEyS2leAs6KbQ0ltQFmABtJai+pKdAnr/8Tor4XMCcTZXI3MIjqUR75zAPWAzCzucBkKWRGVKDrSox5eZ+RN4Gfxu2TCHNSjFLtdhzHcRzHcRzHWeO4Y8RxVhEzexcYCAwD3gHuNrOhwLXAq5LGADdE+f8DDpA0DhgJdDKzpcDv4vEvAvklLxZJGgXcAZyeaX+KkKMktRzlX8DFkkZJ6khwXJwe7ZoA/Lj2o+bfwNG55KvAeUA/SWOBU+I4i1Gq3Y7jOI7jOI7jOGscX0rjOKsBM7uBFc6PXNt9wH15bTMo4Igws1sICUsLMcjMLijQ3pWQvLTG2qHRSZNfp/CHBXR98173z3s9BBgStz8AuuR1cWDe62p91sZux3Ecx3Ecx3GqU0m9q4Zb53HHiOPUQyRdRliSU69ydNRXux3HcRzHcRzHWXdxx4jj1GHMrHeR9gHAgGybpMuB4/Kkg83s2jVjXe0pZLfjOI7jOI7jOM7axHOMOM5KIGmKpA1WsY8yScWWz6SOHSKpLGuLmV1rZt3yfuqMUwRAUnn83UHSiWvbHsdxHMdxHMepb5ipTv/UR9wx4jhrCTMbYWbnr2071hIdAHeMOI7jOI7jOI6z1pF5EWTHKYqkDsBzhAoy3QlVXE4FJhISqx4BNCYsYfkAmAT0NLOvJTWIbXsDvYGrgGWEkrv7SeoNXGRmfSS1Am4FygADrjazRyXdDuwONAceMbOrol1D4rEjJE2Jx50PfGNmN0XNtcBXZnZzgXG1Ap4E1o/2X2FmT8Zyww8DWwANgWvM7CFJA4AjgQrgBTO7SNIRwBVAE2AWcJKZzZDUHyg3sz/Hc40H+pjZFEnlZtZK0tvAzsBk4D4zuzHPvjOAMwCuv+p/e5x6/E9qvE4fa4ca9wM8OiS9crBXWdOkpuP6M5MagClz2ic1b49JVyv+307PJzUD3q+WS7cae3VJ+8E/mtowqQHouHna7rEfpp8W9O0+Mal5f/H2Sc2chU2SminTS3t6sdu2i5KavUb/Jan5b6fLkprGDSuTmpnzGic1AA1LeMxRtslnSc3f/pN+3x7cM/05GZ6+tJy099S0CKgk/b58f/bmSc2CJelJKuVfohFjFiQ11+z6TLojYEG7LZOa1xfskdSM+zBteLcd05+Br+ak57p3h8lJDcAWn7ya1DzX9pSkZsd2XyY1z47bLKnZapP0HLXYd+ekBmD9sSOSmrc/aJXULF2atkklfHUtW1ba//KfTp6b1Fxw7Pyk5tul6yU1H37VJqmZU562u/PWC5MagPGftUhqWjZP99Oqefp7+bMv0xflm9lLk5r1WpWW0WDBgvTf3G++Sc/T//RJf5Y2+mJ0UvOIHZ/UlG3+RVID0OGLN5KaDzY9IKn5fO76SU3TRulrC3BI1yb1Itzhv2MX1+mb+IO6NK0X85jFc4w4TpodgdPNbKike4CzY/tMM+su6WyCk+IXkgYREoveBBxEqL7ytaQrgUPNbJqktgXO8VuCw6QzgKTcN/zlZvaNpIbAS5K6mNnYInbeAzwG3BSdMj8Fiv1HvQg42szmxiVBb0t6ilCt5gsz+1G0o42k9sDRwE5mZhn73wD2im2/AC4B/qfGmVzBZUSnUKGdZnYncCfAVxNH1OkvfsdZ25TiFHEcx3EcZ93BYxtWP/7vlOOk+TyWvAUYBPSK24/F3yMJS0MgOCdOjds/B+6N20OBgZJ+CQUffx4E/DX3wsxmx83jJb0LjAJ2oXrZXTLHTAFmSdoNOAQYZWazisgF/EHSWOC/wObAxsA44GBJf5K0r5nNAeYQHCn/J+knQO5x6RbA85LGARdH+xzHcRzHcRzHceoV7hhxnDT5Ptnc68Xx9zJi9JWZfQ7MkHQgIVrjP7H9TMKyky2BkTEKo0YkbQNcBPzAzLoAzwDNEofdDfQF+hGcNMU4CdgQ6GFm3YAZQDMz+4CwZGgc8HtJV5pZRRzLI0AfwtIiCEt/botRLr/K2FZB1e+WlM2O4ziO4ziO4zhrDXeMOE6arSTtHbdPJCwhqYm7CZElg81sGYCkjmb2jpldCXxNcJBkeRE4J/ciLqVpDcwH5kjaGDisBFsfJyyH2R2oKTlFG0L+kaWSDgC2jufdDFhgZoOA64HuMR9JGzN7Fvg10DXTx7S4fVqm7ykE5wqSugPbFDj/PCC9SNlxHMdxHMdxnCoYqtM/9RF3jDhOmknAOZLeIyQrvT2hfwpoxYplNADXSxoXE5G+CYzJO+b3wPqSxksaAxxgZmMIS2jeB/5JWI5TI2a2BHgFeDjnlCnCA0BZXAZzajwHQGdgmKTRhGSxvyc4MJ6Oy27eAC6M2v7AYEkjgWxG0keBdpImAOcSEtDmMxZYJmmMpF+nxuU4juM4juM4jrOm8OSrjpOmwsxOzmvrkNswsxGEqjM5uhKSrr6f0RQqqzIk/mBm5VSNusgd17eQQWbWO7O93JaYdHUvQpWcopjZTEK1nHymUDjSpFoSVzN7klDZJr99ISHHSaHztoq/lwIH1mSj4ziO4ziO4zjOd4FHjDjOakTSZYSIif9dC+fuBHwEvGRmH37X53ccx3Ecx3Ecx6mPeMSI49RArPSyay30A4ABa8ygms89Edg22yapM3B/nnSxme35nRnmOI7jOI7jOM5qo9LL9a52PGLEcYogqW9MRroyx/aW1HMlj/2dpIMSmiGSylJ9mdk4M+uW/QEuzdomqb+ki1bG1hrsO1PSqQnNSs+v4ziO4ziO4zjO6sIjRpzvNZIa1pCktC8wHvhiJbruDZQTEq3Wili5Zk3Sm5W0rRQkNTKzO0qQ9mXl59dxHMdxHMdxHGe1IDOPw3HWTSR1AJ4DRhLKx04gVGCZCDwEHAxcR6jIcgfQAvgY+DnwA2AgoRztQkKi0k7ADYSKMzOBvmY2XdL5wJlARez7MuBtYBmhNO95ZvZ6nm1tCJVZtjGzSkktox3bAncBT5vZI5J+APyZ4MQcDpxlZoslDQEuMrMRkg4BrgaaRvv7mVm5pCnAfcARQGNCQtZF+bbFsZYTSv0ONrNcqd3tgYdyrxNzPQQYDfQCHiRUsik3sz9L6lbK/Makrbn+zgDOALjhtxf1OO3YI2s8/8JmbVMmMnxOp6Rmk/XKk5r3prdJagC23WhBUtOq8aKkZsmytP/6y3ktk5rJ09MBgg1LjCE8rNPnSU2rim+TmklLtk/302RxUrPryFShKLihwSVJDcDJZR8lNePmdkxqylqMS2omW7qfJZWlPb/oUf5SUvN284I5kasws7xJUtNlo+lJzUNvbpjUnFOWX5yrMIM/TQbHMXPW0qRmow0aJzXTZyxJajbfND1HPbedkdQAbL6gUNGuqsxsuXVS8/mCjZKapcvSH/BNWs5JaibPbpfUALRrmf7stmiUnu/p89KV3Q+Zlv4O+PfGZyc1m7eZn9QAzO6Sfk9uPP7tpOaDr9N/u7ZYP/235K33mic1AI0bp0to/nCX9Od7/Yqvkpo/vbhdUnPiwTUVzwssKuFvIEClpd/f7ZrOS2r+M2aDpKbjlml7JnyYHtsmG6W/kwAalPC3eeoX6e/A3XdNX/+d236W1Gw++Y2kZsGG2yQ1AH8eXi23fzWu7PBQUvNY01OSmrYtKkqy6fDuJXxQ6gD/GbW0Tt/EH7Zb/ZjHLL6UxlnX2RH4m5ntDMwFcv8ZzTKz7mb2L+AfwKVm1gUYB1xlZo8AI4CT4vKTCuBW4Fgz6wHcA1wb+7oM2C0ef2bMS3IHcGNcvlLFKQJgZnMIjoT9Y1Mf4PlYrQUASc0IzoMTzKwzwTlyVrYfSRsAVwAHRQfGCFaU0wWYGdtvJzhSitpmZh8Dc6IjA6AfVUsOp2hiZmVm9pe89uT8Zp0i0ZY7Y19lKaeI43zfKcUp4jiO4ziO4xTHHSPOus7nZjY0bg8iRDRAiBjJRW60NbNXY/t9wH4F+tmRkIT1RUmjCc6ILeK+scADkk4mOFBK5SHghLj905xNeeecbGa5R4qFbNuLEMkyNNp1GpB9vPhY/D2STInhGrgb6CepYbTtnyUck6OaS78W8+s4juM4juM4jrNW8BwjzrpOfphZ7nVp8bIrEDDBzPYusO9HhJv9I4DLYyWYUngK+IOkdkAP4OVa2pSz60Uz+1mR/blY5mWU9nl/FLgq2jLSzGbVwpbazqnjOI7jOI7jOLXEs2GsfjxixFnX2UpSzplxIlBlYWRc0jJb0r6x6RQgF90wj5ArA2ASsGGuL0mNJe0iqQGwpZm9AlwKtCHkIMkeWxAzKyfkDbmZkFMkf0HqJKCDpNxC3axtOd4G9slpJLWUtENN563JNjNbBDxPWHqzfBmNpD9KOjrRb6H+Sp1fx3Ecx3Ecx3GctYI7Rpx1nUnAOZLeA9Yn3PDncxpwvaSxQDfgd7F9IHBHXKLSEDgW+JOkMYT8ID1j+yBJ44BRwC1m9i3wb+BoSaMzToFCPAScTIFlKNFJ0Q8YHPuvJOQHyWq+JlR3eTDa/xawU40zkrbtgXiuFzJtnYEvE/0WIzm/kkrLHOc4juM4juM4jrOa8aU0zrpOhZmdnNfWIfvCzEYTcnWQ1/4oYWlJjtEUzo/RK78h5gXpkjIuJiFVXlvfzPZLwG4Fjuud2X4Z2L2ApkNmewShTG8h2/KTw/YC7s2LYGlsZm/VMI7eea/7Z7ZLnV/HcRzHcRzHcRJUUu+KvtR53DHiOM5yJD0OdAQOzLab2aFrxyLHcRzHcRzHcZw1iztGnHWWWJp217Vth6TLgePymgeb2bWF9GsTM6sxj4ikvwL75DXfbGa1KevrOI7jOI7jOI5TZ3DHiLNOIWkIcJGZjZA0BSgzs5lr06boAKnRCSLpSKCTmQ2QdBTwgZlNjPt+B7xmZv9d89bWjJmdk30t6W7gndr2I6kbsJmZPbu6bHMcx3Ecx3Gc7wNelWb1444Rp94hSYDMrHJt27K6MLOnCOV7AY4CngYmxn1Xri27UpjZL1by0G5AGeCOEcdxHMdxHMdx1iruGHHqBZI6EMrIvgP0AIZJ6gw0Bx4xs6tqOPZ3wDdmdlN8fS3wlZndXEAr4DrgMMCA35vZQ5J6E6qpzAO2A14BzjazSknlwF3AIYTKLT81s69jVMQdQAvgY+DnZjZb0vnAmUAFMNHMfiqpL8FR8E/gSGB/SVcAxwC/JZTzfUTSD4A/Ez67w4GzzGxxjI65DzgCaAwcZ2bvF5mPPQglgpsBC4F+ZjZJUgtCpZhdCdV8NgPOidE3txMSvFaZ77wInfLYb5/Y74/NbIak44CrgGXAHOCgOJfNJfUC/mhmVarySDoDOANgwO+u5KQT8lciVaXFw7fWuB9g36NOS2oe+axnUtO6ZWku+t1nPZ3ULGq7aVLz3NxquX2rcUTT/yQ1X3VOFSuCGx5rl9QAHNYpralo0DipKV+S1iytbJjUfLJH36TmcJud1AA0qFY1uzofT0vbtN0/Lk1qdjs+nbpnavefJDVfNtuVxrYkqXvznbTdlzS6PqmZucHhSc1he7RMaposnJvUALz33pykZvvtWyc1nbean9RssWHTpGa39cYnNa99uUtSAzCt1fpJzfTPmiQ1P/vyT0nNDQ0uSmrOn31DUnN/5RVJDUD79s2Smgsb/T2peWLO2UnNjK3OTWq6tk2/j96YlH4fAew3/u20TbtWyzlejSNuODKpabx1h6Rmu841Fb9bQbvRzyU1n5Cfr7466w2pVkivGkcdkH6ms+kt6b/Lzx9TWo72H2+SDl79tv/VSc03+6fPV1mZ/kx23iH9ffvmyAVJDcBFB0xKalpP+3dS88/Z6WvSuunGSc2Xm6b/LnWbU1qQ88jX3ktqvt2nc1IzZ0o6Een4SaU9Tz28e0kyZx3Ey/U69Yntgb+Z2S7A/5hZGaG6yv6SaqoAcw9wKoCkBsBPgUFFtD8hRDN0JdzAXy8pd/e6B3Ae0ImQoDT3l6ElMCLa9SrBCQDwD+BSM+sCjMu0XwbsFtvPzJ7czN4kRI5cbGbdzOzj3D5JzQiOixPMrDPBOXJW5vCZZtadUJK4pv+A3wf2NbPdgCuBP8T2s4HZZtaJ4IzpkTnm8hLmuyXwtpl1BV4DfhnbrwQOje1HmtmS2PZQHGOhUsV3mlmZmZWlnCKO832nFKeI4ziO4zjrDmaq0z/1EXeMOPWJT80s95jmeEnvAqOAXQjOioLEJKyzJO1GiOoYZWazish7AQ+a2TIzm0FwdORK4Q4zs09iGdsHWVGmtxLI3dwPAnpJagO0NbNXY/t9rCj1OxZ4QNLJhKiRUtkRmBzL7eb3CfBY/D2SvJLEebQBBksaD9xImD/ieP4FYGbjo505SpnvJYQlQPk2DAUGSvolkH6E4jiO4ziO4ziO8x3ijhGnPjEfQNI2hIiIH8Soi2cIy0Jq4m6gL9CPEEGyMuSvoSi2piK11uJHwF+B7sBwSatrSdvi+HsZNS+TuwZ4xcx2JSy9qXHuajHfS82Wp4JaboOZnQlcAWwJjJTUvrThOI7jOI7jOI7jrHncMeLUR1oTnCRzJG1MyAeS4nHgh4Toj+dr0L0OnCCpoaQNCREZw+K+PSRtE5fjnAC8EdsbAMfG7ROBN8xsDjBbUm7h7ynAq/HYLc3sFeBSQvRGqzwb5gHrFbBtEtBB0nbZPhPjLkQbYFrc7ptpHwocDyCpE5Bb1Lky870cSR3N7J2YRPZrgoOk2Bgdx3Ecx3Ecx3G+Uzz5qlPvMLMxkkYRcmV8TrihTx2zRNIrwLdxKUwxHgf2BsYQIj8uMbMvJe1ESHZ6GyuSrz4ej5lPcJpcAXxFcJoAnAbcEZOafkKIVmkIDIpLbQTcYmbfhpyvy/kXcFdM0ppzuGBmiyT1IyyDySVfvSM19gJcB9wX7X0m0/632D6RMLcTgDlm9mFt5zuP6yVtTxjvS4S5/Qy4TNJoCiRfdRzHcRzHcRynMJVerne1444Rp14Q84Tsmnndt4iud2a7Q247RmrsBdSYyTMuBbk4/uQz18z6FDnuwgJto+M586lWZsTMBhISq2JmQ6maw6NvRvcSsFuB4ztktkcAvQvZGfe/BeyQacqVGFgEnBwdMB2B/wKfxmP6UoC8+W6V2X4EeCRuF0pf/g0rcrc4juM4juM4juOsNdwx4qzzxGUhTwOPm9mHa9ueOkwL4BVJjQnRHWfHCjKO4ziO4ziO4zjrLO4YcdZ5zGwisG22TVJn4P486WIz27NIH0OAIUX25ecIqRPEZTf/L695qJmdU0hvZvOAsjVumOM4juM4juM4K435UprVjidfXYeQ1FvS02nl2kNSX0m3raG+h0gq6cbezMaZWTcz6wbcREiYuqekMyWdmjjPGhtD5hwXxNwkudfPSkC7EjoAACAASURBVGpbmz7M7N7cGDM/1ZwipbxvJHWTdHjm9ZGSLquNPY7jOI7jOI7jOHURjxipByhk5pSZVa5tW0pFUiMzq1jJY9faeM1sZZKZrgkuAAYBCwDM7PCa5TWzKtcj0o0QTfJstOcp4KlVsclxHMdxHMdxHKcu4I6ROoqkDoSysu8APYDrJJ0JNAU+BvqZWbmkHxIiHhawonwskvoD5Wb25/h6PNDHzKbEiIiLCFVXxprZKbE07R3AVrGLC2IS0EK2tQPuISxPWQCcYWZj4zk7xvbPgJ8VGd6WkoYAmwODzOzqAuM9XNKOwNUFxnwlcATQHHgT+FVMmpqzr0G0b6qZXUEB4jKT/wW+JVRJWZw/b9HGMcD+hM/Kz81sWF4/HeK5NiCUou1nZp9JGggsJCRK3Qj4OXAqoeLNO7lkppJuJyQhbQ48YmZXxWo0mxHyfcw0swMkTQHKzGxmoetXZIwDCQlVdwOGSvotcCshiW1joL+ZPZl3zB7AzUCzaH8/YDLwO6C5pF7AH6O9ZWZ2bmIO5hIcKpsQKvw8ImlT4CFCGeBGwFlm9nqhMQC0+3pSsV3LabDn3knNw7N6JjXzF6bjErtvPSepAWgwflpSM779j5KaxUuV1MzYdOekZmFli7RmfmkpZeZUtE5q2i+dmtSs13RpUiOlr8nMxW2SmorK0gIk1Sx9vm/npH2MWx+5X1JjG2yS1DQuMc3PtKWbJTUNG6bfSyM6F1xpV4XtKj9IatZrtCCpmd56x6QGoFHjhknNshLc6N8uaprUfDk7/W/Req/cldQ02+/GtEHAvEXp830xo6ZCaoGKb2YlNUvbpCepQed00GXLjxonNQAVFenP0rKttklqyqemPwNTv0h/vnfZPK1ZurS02PQPvk4HcB5xw5FJzWsXpp8v7DP870nNxMWlfZZ6NXgxqamw9Huywc5dk5qv5qU/b503Wj+pWbS4tGvSoMaCg4FN9+mS1MwvT7/fNt64WVIzaUr687Z0SdpmgGHlabsPaVP036jlNCnhrm/9puVJzadz2yc1c9ptm9QAtNkg/f/ErEbp99LG7dLz/fWs9N+S+oSR/pvu1A5fSlO32Z5QQnV/4HTgIDPrDowALpTUDLiL4CToQbj5rBFJuxCqkBxoZl1ZkYPiZuBGM9sdOAa4u4ZurgZGmVkX4DfAPzL7OkU7izlFAPaI5+gCHJdZ/rI98Dcz24VQAveK/DFH3W1mtruZ7Uq4Qc9WimkEPAB8WINTZNM4hn0IFWI6FdJFWsTlNmcTbv7zuRW4L87FA8AtmX3rExwhvyZEV9wI7AJ0ltQtai43s7I4F/tL6mJmtwBfAAeY2QF5the7fsXYAugZq+ZcDrxsZnsABxDK6LbM078P7GtmuwFXAn+ICVivBB6Ky3HyS+vWNAebEua4DzAgtp0IPB/ntSswOt9oSWdIGiFpxD1Ppv+Rc5zvM6U4RRzHcRzHcZzieMRI3eZTM3tbUh/CzfvQsMqEJsBbwE7A5FylFUmDgDMSfR4IDDazmQBm9k1sPwjoFPsHaC2plZkVch33Ijg2MLOXJbWXlHP5PmVmCxM2vGhms6LNj8X+nsiNN2r2KjJmgAMkXUKootIOmAD8O+77O/CwmV1bw/n3BIaY2dfRhoeoWr42y4NxnK9Jal0gz8feQK4c7f3AdZl9/zYzkzQOmGFm4+L5JgAdCA6B4yWdQfgsbhrHPLYG24tdv2IMNlv+GOUQ4EhJF8XXzVgRIZSjDXCfpO0JESmlPBqsaQ6eiEuiJkraOLYNB+6J1W+eiGWNq2BmdwJ3AiwY+qinl3Icx3Ecx3EcZ43hjpG6zfz4WwRnQpUojEzUQSEqqBoRlIr7awDsZWaLam1lVeanJeTf6OZeZ48tNuZmhCiaMjP7PC59yY7tTYLj5C+rYSw12VoKi+Pvysx27nUjSdsQlsTsbmaz49KTdHxm7cif02PMrMralIzDAuAa4BUzOzoukRmyiufPjluw3Mm0H/AjYKCkG8zsHwWPdhzHcRzHcRynCpX+2HC140tp6gdvA/tI2g5AUktJOxCWPXSQ1DHqsk6EKUD3qO8O5BbyvkxYvtI+7msX218AzssdnHC6vA6cFHW9gZlmNrcW4zlYUjtJzYGjgEK5TIqNOec4mCmpFXBs3nH/R0gQ+rCkYo6/dwjLVtrHqIXjarD1hHj+XsAcM8tPMPEm8NO4fRJhbkqlNcFxMSc6Jw7L7JsHrFfgmGLXrxSeB86LyW2RtFsBTRsglxyjbwn2QC3nQNLWhAiauwhLtrqXYrzjOI7jOI7jOM6awB0j9YC45KMv8KCkscRlNDEi4gzgGUnvAl9lDnsUaBeXbZwLfBD7mgBcC7wqaQxwQ9SfD5RJGitpInBmDSb1B3pEWwYAp9VySMOifWOBR81sRC3G/C0hr8p4wo3+8ALH3gCMAu6PiVjz90+PY3iL4JR5rwZbF0kaRUhMe3qB/ecB/aKNp5DO+ZG1Y0y0833gn1R1EN0JPCfplbxjil2/UriGsDRmbHxfXFNAcx3wxzjmrGPpFcJSq9GSTsg7prZz0BsYE89xAiG/jeM4juM4juM4zlrBl9LUUcxsCqF6SO71y4TqJfm65wi5RvLbFxJyShTq+z7gvry2mcToiBJs+4YQ6ZHf3r+EYwcCAwu0TyEz3thWbMxXEBKQ5rf3zmxflbDjXuDeAu3985oGmdkFeZqBxDGY2aeEvB/5/fTNbE+h6rXsW2g77/hbCUlNc687ZLarXb8iffTNe70Q+FUB3RDikhkze4uq+VauiO3fUP1aDIz7knMQX7eqjf2O4ziO4ziO41THfCnNascjRhzHcRzHcRzHcRzH+d7iESNOUST1o/qyiKFmdk4Jxx4K/CmvebKZHb267CsFSe8A+QXQT8lViKmJbARKXUbS5VTPkzI4UZnHcRzHcRzHcRzHwR0j6yQxIepFZtZnVfopttykxGOfJ+QAKZlYCvdEM/vbypyziB17rq6+1gSSyoBTzez8le0jOkBq5QRJnTdWpOlpZv9cWbscx3Ecx3Ecx3HqA76Uph6hQL26ZjVUhilEW+DsNWVLXcTMRqyKU2QNnrcDcOJ3ZI7jOI7jOI7jOCViVrd/6iMeMVLHiU/unyeUmO0BXCfpTMLykI+BfmZWLumHwE3AAuCNzPH9gXIz+3N8PR7oY2ZTJJ0KXAQYMNbMTpG0IaECy1axiwvMrFA53Vyp2HuAbeN5zzCzsfGcHWP7Z1QtI5w7dhdCNEoTgoPuGEKVlI6SRgMvApcQqqQcFm38vZk9FCNifkcoIbsdoWLK2WZWWcTOQ4CrC8zZ7oSKKC2BxcAPgKXA7UAZUAFcaGavSOoLHAm0iGN73Mwuif3/DPgNIOAZM7s0tpfHvg4HpkfNdXFuLzCzp7LRPbH88K3x3AZcbWaPFhnT7YRkqM2BR3LJZiUNiHZWAC+Y2UWSjgOuApYRSg7vl3fe/VlRGcaA/QjVhnaO1+I+4HHg/jhXAOea2Zuxn/7ATEKC2ZHAyWZmReZ3Qey7d7wefzWzvxcaY44FbTaraTcArRZMSmoOb/9WUnPnl3skNcM+aZvUAGyz415JzQ4NP0hqXvp816Tmx+2nJjXPze2V1DRp9m1SA9Cu8TdJzfCFZUnN5C+bJDX7dPwqqfl4dvukZos285IagPlLmyc1jRql/dOV8xYlNYs32DqpUeGvtSps0WgqMyo3Tep23lZJTavGC5KaNm8/k9TM7tkvqWlh5UkNQPnc/NWQ1WncqGVS04D0f2obtlmW1Mw+KrmalFlTSnuGcczGbyQ1tnXPpKbyy4qkJlZqr5EG0yYnNdOnlfZZ2na79Hdlwy/S51u0cGlS06B9s6SmTeP0+01Kv48Atlg//TlpvHWHpGaf4TX++QNg6O7VcqZXo2xsacGdizt2TWoWLUt/3hqUp/9WNNko/Xlr0bFDUrP5BunvQICZzbdMarZar1VSU/5V+ru7aZM2Sc0m7dPfAV9OT0oAaNY4/b20+KOPk5pND16c1Gy2KN3P8G83TmrajHw4qQH44oOD0zbNT/czrmKTpOb4vb4sxSRgixJ1zrqGO0bqB9sTSuJ+BDwGHGRm8yVdClwo6TpCCdsDo+ahVIfRMXEFYbnEzOjkgHAje6OZvSFpK4JTZuci3VwNjDKzoyQdCPwD6Bb3dQJ6xUoohTgTuNnMHpDUBGgIXAbsambdoo3HxP66AhsAwyW9Fo/fI57jU+A54CfAIwXGuUEcZ/6cDSDM0wlmNlxSa2AhIaeKmVlnSTsBL0jKVWnpBuxGuMmfJOlWgrPhTwSn1eyoP8rMniA4BF42s4slPQ78Hjg42n0f8FSeub8lOC46R9vXLzJ3AJeb2TeSGgIvSeoCTAOOJpQ1trg0CeBK4FAzm5Zpy3IRcI6ZDY3OmUWEa7F8OZakFsDBZrZI0vbAgwQHDnFOdgG+IJQc3kfSsCLze3oc4+6SmgJDJb1gZlX+O5Z0BqEUNX+58hJOPa5aESTHcSKlOEUcx3Ecx3Gc4rhjpH7wqZm9LakP4aZ6aHzy0wR4i1Cud7KZfQggaRDxprIGDiQk6JwJy8uxAhwEdMo8WWotqZVZwUd7vQiRHpjZy5LaxxtggKdqcIoQ7b5c0hbAY2b2YYGnWb2AB81sGTBD0quEKIm5wDAz+ySO98GoreYYAfai8JztCEw3s+HR/rmxr17EMrlm9r6kT1lRvvYlM5sTdROBrYH2wBAz+zq2P0CIuHgCWEJw2gCMAxab2VJJ4whLVfI5CPhp7oWZzS46e3B8dB40AjaNY5xIcGr8n6SngaejdigwUNLDBMdaPkOBG6Ltj5nZ1ALXojFwm6RuBGdQtqTvMDObGsc/Oo5tDoXn9xCgi6Rj47FtCI6/Ko4RM7sTuBNg5vi36mlAnuM4juM4juOsfiotHQXo1A53jNQPckFkAl40sypLU+LNajEqqJpLJhVv2gDYy8zSsYQ1U2Pgm5n9M1aM+RHwrKRfAZ/Uov/8m+ViN8/F5qxzLc6VIxuDuIz052ep2fJVdpW5482sspa5V6ogaRtClMfuZjZb0kCgmZlVSNqDsGTlWOBc4EAzO1PSnoS5HimpR7Y/Mxsg6RnCkp+hsaJQPr8GZhCidxoQHDA5ajMvAs6LyXkdx3Ecx3Ecx3HWOvUqkafD24RlCtsBSGoZl3m8D3SQ1DHqsk6AKUD3qO8ObBPbXwaOk9Q+7sstpXkBOC93cMLp8jpwUtT1BmbmIgNSSNoW+MTMbgGeBLoQcoasl9f/CZIaxtwn+wHD4r49JG0Tk9GeQCavSh7F5mwSsGnMg4Gk9aKzIjumHQj5QGpKYDEM2F/SBnFZy8+AV0uZgwK8CCxfvF7DUprWBMfTHEkbE3KwEJfBtDGzZwmOjK6xvaOZvWNmVwJfA1UW4sb948zsT8BwQgRS/rVoQ4gAqQROISx9qoli8/s8cJakxrF9B5W6qNtxHMdxHMdxHGcN4BEj9Qgz+zomAX0w5mcAuMLMPojLKp6RtIBwc5+7qX0UOFXSBEIC1w9iXxMkXQu8KmkZMAroC5wP/FXSWML74zVCPpBC9AfuidoFhDwopXI8cIqkpcCXwB9izoyhCgli/0NIvro3MIYQEXKJmX0Zc38MB25jRfLVx1dizk4AbpXUnJD/4iDgb8DtcblLBdDXzBYXS1pnZtMlXRZtyCVffbIW85Dl94S5H0+IvLiaAktfzGyMpFEEh9jnhKUwEK75k5KaRVsujO3Xx7wgAl4izOf+mS4vkHQAIaplAmHuK4FlksYAAwnz8qhCwt7nSEcELSkyv3cTltq8qzCpXwOeQMRxHMdxHMdxSqS+Vn6py7hjpI5jZlMI1T5yr18m5NnI1z1HeNKf374QOKRI3/cRkoBm22YSIjBKse0bCtzUmln/Eo4dQKhOkt+eXyL24viTz9xcYtASzlVszoYTcpDkU62cgpkNJDgIcq/7ZLYfJCQjzT+mVWa7f6F9ZjYEGBK3yynRuWRmfYvsqlZWxcx+UkCXPe95BfZDyEOTpUtm+9J47PJ+4utzM9vF5vc38cdxHMdxHMdxHGet40tpHMdxHMdxHMdxHMf53uIRI04SSf0IZWyzDDWzcwrp8449lFDONstkMzt6Ze3Jj1LInOsdoGle8ylmNm5lz7W2WRfH5DiO4ziO4zjOyuNLaVY/7hhxkpjZvcC9K3ns84SEm2scM9vzuzjPd8m6OCbHcRzHcRzHcZy6hC+lqSNI6i3p6bVtR22R1FbS2Wug3/LV3efKIunN+LuDpPwcKLXqoy6RskmS5wFxHMdxHMdxHGedxyNG1jCx8oZimdN6gaRGZlZRorwtcDahask6iZn1jJsdgBOBf5Z6bG4uM33UGUqw6TfAH74LW2riudmF8rdWpdPWOyQ1jbQsqZk7d2lS03OXJUkNwAvfpu3erO2itGaTxknNkiatkpr3P06PbdPN0/0AzF+W7mvKjCZJzdQvFqdt2nJyUjOtcbHK1ito3WheUgPw7swtkppWJRSYnll2SlIzo2KTpKZRCV/FDbWMD2a2S+r++8qspObIQ9P9jNv6iqRmswXp9/aMOZslNQC99ilcFSxL+YJ0TPGMOenP0o6bpN8nQ6amv28qS/yLf8fEvUtQpce28NCTkpqKYWmjJu5eLfd4NbZvmP68AUybWmPxMgC+6HNkUrNrs/T5ppXwXfLMmI2TGoBly9Lz/dZ7zZOa7Trvm9RMXLxjUlM2Nv0vx4gupT2z2XRC+hnNZ7PXS2qa7VAop3tVOmpmUjO958+SmsUzSnuGO3le+vo26Jn+Xu7YqH1SM2du+v+JzTdISmjUuLSxVSxLfwcuPjw9NtJ/uhn4Ufo7qWX67c+InqU9W+tZwtgGTW2W1JTynXvP2PS1BbiuY0mytU6lL6VZ7XjEyBogRhZMkvQPYDyhLO1bkt6VNFhSq6j7oaT3Jb0L/CRzfH9JF2Vej5fUIW6fKmmspDGS7o9tG0p6VNLw+LNPDba1k/RE7ONtSV0y57xf0lDg/iLH7iJpmKTR8fjtCZVlOsa26xW4Pto8LpZszUXEvCbpmTg3d0iq8f0n6do4zrclbRzbBko6NqMpz/T/qqQnJX0iaYCkk6K94yR1jLojJL0jaZSk/2b67S/pHklD4vHn558jjnXfONZfx+v8eryu70rqmbHldUlPARPz7Gwl6aWoHyfpx7G9g6T3JN0laYKkF2KZ22Jz88t4rcfEa98ith8X536MpNdquG5ZmzaN12Z0PHZfSQOA5rHtgah7QtLIaN8Z2fkpcq02lvR4bB+TmZ+TM/b8XVLDAuM7Q9IISSNefurOmt4mjvO9pxSniOM4aUpxijiO4zjrJu4YWXNsT4ii2B84HTjIzLoDI4ALJTUD7gKOAHoAyUeHknYBrgAONLOurEiIejNwo5ntDhwD3F1DN1cDo8ysCyEi4B+ZfZ2incVc+GcCN5tZN6AMmApcBnxsZt3M7GKCg6cb0BU4CLhe0qbx+D2A8+J5OpJxBhWgJfB2HOdrwC9r0OboGm3cGTgF2MHM9iDMR64k7RvAXma2G/Av4JLM8TsBh0Y7r5KU/3jxMuD1ONYbga+Ag+N1PQG4JaPtDvw/M8t/tLgIODoecwDwF0k5d/n2wF/NbBfgW8K1LMZjZrZ7nJ/3CO8xgCuBQ2N77lFcoeuW5UTg+bi/KzDazC4DFsax5h5F/tzMesQ+zpeUc70Xu1a3AK/G9u7ABEk7x7naJ55vGVDtUaeZ3WlmZWZWduCRZ+TvdhzHcRzHcRzHWW34Upo1x6dm9rakPgRHwNB4/9sEeItwEz7ZzD4EkDQISN0BHggMNrOZAGb2TWw/COi04v6a1pJamVmhPB29iDfcZvaypPaSWsd9T5nZwhrO/xZwuaQtCDfmH2bOme3/QTNbBsyQ9CqwOzAXGGZmn8TxPhi1jxQ51xIgl3NlJHBwDXblGG5m02P/HwMvxPZxBCcEwBbAQ9FZ0wTIxuk/Y2aLgcWSvgI2proTIUtj4DZJuRv8rBNkmJkVWgMg4A+S9gMqgc3jeSC8H0bH7ZGEpTvF2FXS7wlLmVqxIsHtUGCgpIeBx2JbteuW19dw4J7oCHoiY0M+50vKVRPakuDImUXxa3UgcCpAfD/MkXQKwRE4PL53mhMcTI7jOI7jOI7jlIBZehmSUzs8YmTNkVtcK+DF+OS9m5l1MrPTazoQqKDqtUktrmtAiILInWPzIk6RUm0uiJn9kxCFsBB4VtKBtew/P0a1ppjVpWbLC1EtY4UTb/ncxKU42UQG2UXGlZnXlZnjbwVuM7POwK+oOrfZ47PnLMavgRmEKIuyPFuKzeVJwIZAjxgxMSNjQ23OPxA4N47j6lwfZnYmIapoS2CkpPap62ZmrwH7AdMITpVT808mqTfBAbd3jAAZlbG72LUqhID7Mu/VHc2sfw16x3Ecx3Ecx3GcNYo7RtY8bwP7SNoOQFJLSTsA7wMdcrkvgOzylSmEpQdI6g5sE9tfBo7LLWGQlFtY/gIrlooQIxiK8Tpx6UK82Z1pZnNLGYikbYFPzOwW4EmgCzAPyGbqeh04QVJDSRsSbriHxX17SNomOjROICxrqS1TCBEHEG7209n0qtKG4AAAOK2Wx+aPtQ0wPSbWPQWoliujyPm/MrOlkg4Atq6lDTnWA6bHKI/lS1EkdTSzd8zsSuBrYMsi143MMVsDM8zsLsKyo+5x19LMcqI2wGwzWyBpJyCdWRReAs6K52goqU1sO1bSRrG9XTy/4ziO4ziO4zjOWsEdI2sYM/sa6As8KGkscRmNmS0iLJ15RiH5anY5waNAO0kTgHOBD2JfE4BrgVcljQFuiPrzgbKYWHMiIadEMfoDPaItA6idc+B4YLyk0cCuwD/MbBZhmdB4SdcDjwNjgTEER84lZvZlPH44cBshJ8bkqK0tdwH7x/HvTSLKpQD9gcGSRgLplOlVGQssi4lEf03IIXNatGWnEm15gHCtxhGWmbxfSxty/BZ4h7B0JtvH9QpJXccDbxKuQ7XrltdXb2CMpFEEh9XNsf1OYGxMvvoc/5+9+46Tqrr/P/56U5ZeFBGxAIoiIipBLCgaNKLGbsQYO2g0xhaTn9EUvwZLEluMXUOMgtEYFI0aNSoRMYqCglIN2EAjIFKlt93P749zBobZmTkDLLIsn+fjwYPZO+977rl3yu6cOQXqSPov4XkzooQ6/gQ4LJ7raKCTmX1A6NHySnwODgFaFynDOeecc8455zYqn2NkIzCzqYQPoJmfhxLm2cjNvUT4QJ27fSlwZIGyBwIDc7bNJnygLaVuc4GT8mzvV8K+NxE+FOduz10n7ufxX64FZnZcifVsnHV7MHEuEjObydq9Fa6O24cBw7L26Zl1e/V9ZvYsoddE7vH65fyc/fg1jv+vJMybkS2790XeuuSUMZvQoJNP9jFvK5DJ3H8/cH+e7fkmtC30uGXqVOk5FbdfTTyn6LsF6lLssToxT34QMChfWc4555xzzrnizBfRqnLeY8Q555xzzjnnnHNbLO8xUkNJ6sua5XwzhpvZJSXsexRwc87mKWZ2cr58KfL1oojHGgnUy9l8tpmNX99j1SSS7gUOztl8p5k9vCnq45xzzjnnnHM1jTeM1FDxg3PRD89x8tUrc4e3mNnLrFn+daMyswPWdR9JzYEzzOy+jVCl1LG7AeeY2eWS+gDdzOxSSRcBS8zskbj9FTObvqHHK6Uha31JesvMDipy/6/M7Hcb6/jOOeecc865dVfhQ2mqnA+lqYEUbFaPraR1aaRrDly8sepSjJmNMrPL82x/wMwyk5r2AbZfl3LX8fyrRLFGkehX30hFnHPOOeecc24T8h4jNYSkdoReHiMJy9neEnsx1AM+Afqa2SJJRwN3AEvIWi5XUj9gUWbSz7iqyXFmNlXSOcCVgAHjzOzsuBTvA0CbWMQVZja8QN22Bh4CdonHvdDMxsVjto/bP2ftJYsz++5J6PlSRmjIOwW4AWgfV1kZAlwF3EKYHNSAG81sUOwRcz1hmd1dgdeAi+PyuvnquYgwoekxwAxCw8At8RyvMLPnCvWyyVw/wnLC3YDHJC0lTLT6c+B4oAFhpZgfmZlJGgaMAXoA/4w9TTrEpXybElaU6RAnfc2t6wWEVY3KgI8Jw4+WSDoV+A1QDnxtZofmu4Zm9pGkRWbWWFJrwmSoTQnvCT8GjgUaxGs80czOlPQMsBNQnzCcp3/WdbsTOA5YCpxoZjMltSI8R3aJ1f6xmb0l6SzCSkplhOfrxWZWnnN+F8bz44pr7+G43ufne8hW6zA371NvLS+WMO9vnbqrkpmlK5XMADRpUJ7MLF2Zfgv+8qtKD38l41t1SmZ22qEsmXnv/fnJDMDc5U2SmRbN8r7M1lJWN3cUXWVjVhVbfTyYtzh9Hb+o0zKZAWhQlq734iXpcrYd8VQyU9H9+8lMeQmrgHdrtYC5K7dO5jp0TGeOnJe7aFVl03c5JJmZuyp9rK1bLUpmAAa8mH6etG3XOJnp2eHLZGb8zFbJzA/m3pnM/KVB7kjW/HZqnX58p05Lvy81efu5ZKZ+o/RrqdOUZ5KZhz7rncwANGqcfs/ZfuzzyczI0acmMwcclF7crFfHacnMHYMbJTMAHTo2T2a2HvNSMtOj1pBkZnn7fZKZ1hPfSmYAZuyZ+j4Ethv7XjLTZvEHycwI0sfqOetfycznC3ZOZgAatk2/lpo99Jtk5sut7khm2u7cNJn5ZFr6bwWptL8ndmo6N5lp+O/075yJ2++bzLRtne6G8NmMZISdyz5Lh4APRqePd36v9N8c707fMZkpr6hfUp3clmuz6lXgknYjLCH7beB84Agz6wqMAn4mqT5hudvjCY0n26UKjB+qrwEON7N9WDNvyZ3AH81sP0JjxYNFirkOeN/M9iY0NmT/5d0p1rNSo0h0EeFDeBdCg8MXwC+AT8ysi5n9HPgevL2IggAAIABJREFU0AXYBziCsGRt5q+k/YHL4nHax2whjYChZrYnoTHlRqAXcDKhgSUprsoyCjgz1m8pcI+Z7RdXumlAaEDIKDOzbmZ2HWEOlmPj9h8AT+drFImejmXuQ1j+ONNycC1wVNx+QtyW7xpmOwN4Od6/DzDGzH4BLI3ncGbMnWdm+8YyLpfUIm5vBIyIx/wPcEHcfhfwetzeFZgoaQ/CCkoHx+OVA5nys69j/3hduqUaRZzb0pXSKOKcc865msOsev/bHHmPkZrlMzMbIek4QkPA8NgaXQa8TVgaeIqZfQQg6VHit/JFHA48GZeZzSz3C6EBolNWa3dTSY3NLN9XgD0IjSeY2VBJLWKPCIDnYuNBIW8Dv5a0I6Ex4KM8Lew9gMdjr4OZkl4nLI+8AHjHzD6N5/t4zA4ucKwVQOYrnvHA8th7YzzQrkgdUw6TdBXQENgamAj8M96XvWztg4TeL88AfVnTwJBPZ0k3EoYVNWbNnDDDgQGSngCejtsqXcOcst4FHpJUF3jGzMYUOOblkjIT8O5EaIibQ7huma/9RhMakyA8d84BiI/N15LOJjTKvRsfxwbAV0XO0znnnHPOOec2Ku8xUrMsjv8LGBK/7e9iZp3MLPW1+yrWfj6k+pvVAg7MOsYOBRpFSq1zXmb2N0LPh6XAi5IOX8fyc9ssi7VhrjRb3cZZASyPdahgPRsRYy+d+4DeZrYXocdO9rVdff5xKFK7OFyntplNKFL0AODSWOZ1mTLN7CJCD5+dgNGSWqSuoZn9BzgUmEZoVDknz3n0JDSGdY89QN7POo/s61ZO8WslYGDW82Z3M+tXJO+cc84555xzG5U3jNRMI4CDJe0KIKmRpA7AJMIH7/Yxlz18ZSphuAOSugKZQZ1DgVMzwybifCEArxCGqBC3Fxu8/AZxuET8gD3bzBaUciKSdgE+NbO7gGeBvQnDXLIHHL4BnCapdpz75FDgnXjf/pJ2jpPRnkbWvCobUXb9Mo0HsyU1BlKDsx8B/kZiRaFY/ozYy2P1UBRJ7c1spJldC8wCdipwDcnapy0w08z+TOi10jXetTKWD9AMmBfnMekIHJioH8CrhPlKiI9Ns7itt6Rt4/at4/Gdc84555xzJdjUQ2Vq4lAabxipgcxsFmFllMcljSMOozGzZYShMy9Ieo+1hzA8BWwtaSJwKfBhLGsi8FvgdUljgdtj/nKgm6Rxkj4gzGNRSD9g31iXm4Bz1+F0vg9MiJOAdgYeMbM5hGFCEyTdCvwDGEeYrHQocJWZZWbZexe4hzAPx5SY3dgGAA/EOi8n9BKZQBju8m5i38eArYDHE7n/I0xcOpzQ4JVxq6TxcfLctwjXpNI1zCmrJzBW0vuExqPMzIL9gXGSHiMMMaoj6b+Ex3BEon4Q5qM5LA5FGg10MrMPCD1aXonPhyFAetY855xzzjnnnNtIfI6RGsLMphI+9GZ+HkqYZyM39xJhrpHc7UuBIwuUPRAYmLNtNuFDdCl1mwuclGd7vxL2vYnwQTx3+xk5m34e/+VakLuCTJFjNc663S/ffWY2jDBJKmY2gNAIslbezJ4iNDRlXBP/5R6vZ55q9AAGm1nR5UHM7H7CCjq52/NNLlvoGmbOqdLjG7dfDVydtem7BeqSfd0GE+dwMbOZwIl58oNYe24V55xzzjnnnNtkvGHEuWpC0t2ExodjNnVdnHPOOeecc9VTxWY6XKU684YRV2Uk9WXNcr4Zw83skhL2PQq4OWfzFDM7OV++FNm9O3KONRKol7P5bDMbv77HqgpmdlnuNkn3AgfnbL7TzFJzkDjnnHPOOeecK4E3jLgqEz+sr9cHdjN7mTVLzm5UZnbAN3GcQuIEtFeWMsSnlEalKqhPO+B5M+ucyBwUV7hBUjfgHDO7fGPXzznnnHPOOec2Jp981bkqoqBavqYkbWgjaDtg9bwuZjbKG0Wcc84555xzNYH3GHFuA8SeFC8TVojZF7hF0kWEoTqfAH3NbJGko4E7gCVkLRksqR+wyMxuiz9PAI4zs6mSzgGuBAwYZ2Znx+WIHwDaxCKuMLPhBerWD2gP7AJ8LukswiSsPWP97jWzP+U5n78CjeKmS83srbjfHnFlm4HA+8ReL3EJ54ficZYAF5rZuHj8NnF7G+AOM7tLUiPgCWBHoDZwQ5yQNbseFxJWUOKW637N2d8/Jd8prlZ76cKi9wMsq5VuszrvkP8lM//8YJdkBqBzu+XJzPKVtZOZq2vfnsy8svLKZObgdtOTmd1bN0tmADrUnpTMLCkr2AFpteO/Tncw+1/jI5KZZvWaJzNT5zVJZgDabJV+LvXc/f1kZtXKYiuYB/PKt0pmlpfXTWYA6tVemcx8Z6+iczoD8MSMPsnMofZhMjN9YdNkZqdm85IZgG22bZDMLFtWkczsuCj9vH1j4XbJzIgOFyYz539yTzIDMLVDpXnJK+nZOr26/Ydcmsx0X7YimVlYK/26/eXOnyczAF+yQzIzs9bRycwN+yxJZp6dmK5PLdLPkSt6L04XBFTY0mTmU85KZlZZ+s/wZeW5I38r+7zE97ftxr6XzHy9T9dkpv5Lv05mRs86JJlpv99hycyBy9LXGmDR8rJkpvbp6dfufrPTv08q0k8ldmyRfr1J6fc2gGXl6bLe7t4vmelE+vfEVvXTr7ey2unn2zZfTkhmAM7q2zuZ2XbRf5KZOfN3TGa2bqaS6rS52FyXxK3OvGHEuQ23G2EJ4o+Bp4EjzGyxpKuBn0m6hbBk7+Exk1yRRdKehJVsDjKz2bHxAcJSun80szcltSE0yuxRpKhOQA8zWxobG742s/0k1SMsefwKoeEl4yugl5ktk7QbYdngbsAvyBr+E4cDZVwHvG9mJ0k6nLAccOZTYUfgMKAJMFnS/cDRwHQzOzaWVenTuJn1JywXzJeT3ve3fueKKKVRxDnnnHPOFeYNI85tuM/MbISk4wgNEcMlAZQBbxMaB6aY2UcAkh4l9oYo4nDgybgscmbJY4AjgE6xfICmkhqb2aIC5TwXl2KGsBzz3pIyzfPNCI062V//1gXukdQFKAc6JOoJYYnhU2I9h0pqISnzdfELZrYcWC7pK6AVMB74g6SbCXObvFHCMZxzzjnnnHNuo/CGEec2XKbvrYAhZnZ69p2xkaGQVaw910/9xLFqAQea2bJ1rFumfpfFiW6z69cu68efAjOBfeKxSj1OIdnjScqBOmb2oaSuhGWJb5T0qpldv4HHcc4555xzbotQypAut26q5USRzm2mRgAHS9oVQFIjSR2ASUA7Se1jLrvhZCrQNea7AjvH7UOBUyW1iPdlhtK8Aqxe1jfR6JLrZeDHkurGfTvE+T6yNQNmmFkFcDZhDhCAhYThMPm8AZwZy+wJzDazgoPiJW0PLDGzR4FbiefvnHPOOeecc5uC9xhxroqY2SxJfYDH4xweANfEHhIXAi9IWkJoSMg0MjwFnCNpImEC1w9jWRMl/RZ4XVI5YbLTPsDlwL2SxhFev/8BLiqxig8SVpd5T2Esziwgd+a/+4Cn4sSvL7Gmx8k4oFzSWGBArE9GP+ChWKclhPlWitkLuFVSBbAS+HGJ9XfOOeecc865KucNI85tADObCnTO+nkosF+e3EuEuUZyty8lzP2Rr+yBhBVgsrfNBk4rsW79cn6uAH4V/2X7OnMOcR6UvbPuuzpuX0mY9yTbsHjfXCo3sOQ7fuY6TSX0XnHOOeecc86tI1+Vpur5UBrnnHPOOeecc85tsbxhxLnNnKS+ksbk/Lv3Gzr2g5I6rcd+XSQdszHq5JxzzjnnnHPrwofSOLeZM7OHgYc3VvlxPhLFoTi5x/7hehbbBegGvLghdXPOOeecc25L40Npqp73GHHOVSKpnaTJkh4BJgBnS3pb0nuSnpTUOOaGSeoWbx9ZILOfpLckjZX0jqRmwPXAabF3S0lzpjjnnHPOOefcxuA9RpxzhexGWGHmY+Bp4AgzWyzpauBnhMYNACRtA1yTm5F0EzAIOM3M3pXUlLByzbVANzO7NN+B4yo+FwLc86NTOb9X96IV/eC+p5Ins3//byczSyx39eLKtt06GQHgW4xKH69x82Rm4d4908cqm5zMzKpolcyUV5TWVt580rBkZpcuLZOZL5rlzudb2aoSfk21qvNlMrP1tnOTGYDtv3wvmfmq1V7JzLJf5n1qr6XDlZclM+V1GyQzAEsbtkhmZtdpncx022F6MtPytUeSmabdf53MdJw2JJkB+NPnRycze+29VTJTNvY/yUyTXdLvEzs1nJHMrNxh12QGYKeZ7yQzH7Y8NJnZ48PBycy/W6c7+C1/+A/pck55Ipkp1ZHPXpLMfHrBg8lM40ZKZtp8nH6+jWnbO5kBaMuUZKbJsEHJTK099klnFs1PZup3+F4yA9Bm8Qfpsl5Kv3ZfPfq3ycx+o36QzLQcfGsyM+/E9LEAuq4cmszMfyj93mWnHJTMlNVNf1W/YFn6d9fceSuTGYC6tdK5fTU+mfm8QaU1ACrZYWX6ud2o+Y7JzLy/pt+TAF7fsVcyc2z955OZzj0PSGZWrKpdUp2gbok5V9N4w4hzrpDPzGyEpOOATsDwMKqGMuDtnOyBBTK7AzPM7F0AM1sAEDMFmVl/oD/Asqf+6J0FnSuilEYR55xzztUcFf7XcZXzhhHnXCGL4/8ChpjZ6UWyeTOS0l+tO+ecc84559wm5HOMOOdSRgAHS9oVQFIjSR1KzEwGWkvaL25vIqkOsBBo8o2dgXPOOeecc84V4A0jzrmizGwW0Ad4XNI4whCZjmtH8mfMbAVwGnC3pLHAEKA+8BrQySdfdc4555xzzm1qPpTGOVeJmU0FOmf9PBTYL0+0BTC3WCbOL3Jgnn3zleecc84555wrwqr9er3pSbGrG+8x4pxbL5KGAOPNLD2FuXPOOeecc85VU95jxDm3Xswsvcaac84555xzzlVz3jDinHPOOeecc85tJqr9SJrNkA+lcW4jk/SgpE7rsV8XScdsjDoVOF47SRPi7W6S7krk16qfpBMk/WJj19M555xzzjnnqpL3GHGuCkgSIDOryL3PzH64nsV2AboBL25I3daHmY0CRiVia9XPzJ4DntvIVXPOOeecc865KqXqP6Otc9WTpHbAy8BIYF/gFuAioB7wCdDXzBZJGgZcaWajJB0JXJcnsx9wJ9AIWA70AsYDDYBpwO/NbFCeOvQDdgZ2AdoAPyWsAPPduN/xZrZS0r7A7UBjYDbQx8xmxO0PxeJeAb5rZp0l9Yx1Pk7S/rFu9YGlQF9gCvBxdv3i7W5mdmm8Ng8B2wCz4nl+LmkAsIDQoLIdcJWZDS52nZ94uyL5JtWkfnkqQoO6q5KZ0R/XT2ZmfrksmQFo27ZBMlOvLF1O/bL0e/Rn0yq1x1WyW9v07OAzZpc2g3iP3eclM8M+2CqZWbEiXe8mjdMdG+vXS9e7y47pOgN8OrdZMrNgSbpOO2y9Mp1pnK7TV0vT9QGY9EX6ydSihKJmz09nFixMP26NG6WvUettSvv74+3RS5KZdm0bJTO7bJ9+n2jRcGky8/xb6WvdoGHtZAagedN0bupn6fM/sGv6/WbKtHR9GjVMP27TZyxPFwSsWpV+npxzePoJ99701snM1Gnp9/daSr9PtNm+tMdt9NhFycxJh6XL+mphvWSmrE76ddJ+q9nJDMC0Ren35dGT0vXeb4/0a2llt72SmW0njExmvvi6STIDsHBput6tm6efuxM/S7++Z89Nv79XlKcftxKekgAsWZI+3ve/k369fTYvfS1XrkpXavKnK5KZ9m1L+AMHeGdU+j1g193Sv7xK+Ttgxsx0vQFu7FO2WSyncuc/q/eH+J8cX+ozvPrwoTTObZjdgPuAbwPnA0eYWVdCb4ufZQclbQNck5uRVAYMAn5iZvsARwCLgWuBQWbWJV+jSJb2wOHACcCjwGtmthehEeNYSXWBu4HeZpZpCPlt3Pdh4LJ43EImAYeY2bdinX5nZisS9bsbGGhmewOPAdnDcloDPYDjgJvyHVDShZJGSRr172f6F6mac66URhHnnHPOOVeYD6VxbsN8ZmYjJB0HdAKGh1E1lAFv52QPLJDZHZhhZu8CmNkCAJXe0Pqv2CtkPFAbeCluHw+0i+V3BobEMmsDMyQ1B5qb2X9i/q+Enia5mgEDJe0GGFC3hDp1B76XVe4tWfc9E4ccfSCpVb6dzaw/0B9K6zHinHPOOeecc+vLG0ac2zCL4/8ChpjZ6UWyeTOS0v1Ni1sOYGYVklbamvFxFYTXuICJZtY957jNSyz/BkIvlJPjEJlhVVHfTDU2sCznnHPOOee2KNV7IM3myYfSOFc1RgAHS9oVQFIjSR1KzEwGWsd5RpDURFIdYCFQ2uDa4iYDLSV1j+XXlbSnmc0H5kvqEXNnFti/GWEeEYA+WduL1e8t4AdZ5b6xnnV3zjnnnHPOuY3KG0acqwJmNovQaPC4pHGEITId147kz8T5Ok4D7pY0FhhCmOj0NaCTpDGSTtuAuq0AegM3x/LHAAfFu/sC90oaQ+HeG7cAv5f0Pmv3MitWv8uAvvE8zwZ+sr71d84555xzzrmNyYfSOLeezGwqYe6OzM9Dgf3yRFsAc4tl4vwiB+bZN1952fv1y/m5cb77zGwMcGie/UcD2ROvXhW3DyMOmTGzt4Hs3i/XxO1z89RvQLzvM8KEsLnH61Oovs4555xzzrk0n4Gv6nmPEec2IklDgPFmNmVT18U555xzzjnnXGXeY8S5jcjMelVFOZL6Unk4ynAzu6QqynfOOeecc865LdUW3WNE0oOSOq3Hfl0kHbMx6vRNkdRH0j1F7j9pfa7NxiTpCkkN13PfnpKej7dPkPSLqq3dxmVmD5tZl5x/33ijSO5jIOnF1Oo2kn618WvmnHPOOefclsGsev/bHNX4hhEFec/TzH5oZh+sR7FdgA1uGIkrj1RXJwHVqmEEuAJYr4aRbGb2nJndVAX12SQk1d6Eh1/rMTCzY+LqNsV4w4hzzjnnnHOu2qrOH8zXm6R2wMvASGBf4BZJFwH1gE+Avma2SNIw4EozGyXpSOC6PJn9gDuBRsByoBdwPdAgLnP6ezMblKcO/YD2wK7ANsAtZvZnST2BG4B5hFVLOkj6GXBe3PVBM7sjnsNLwGigKzAROMfMlkj6DnAb4fF7F/ixmS2XdBNwArAKeMXMrpR0PGGyzDJgDnCmmc1MXL+DYjnflnQNcAphWdYHCB+KPwHOM7N5BfYfBrwPHBKv2znAL4G9gEFmdk3MnQVcHus2ErjYzMrzPRbx+mwPvCZptpkdVuwcYvlHA3cAS4A3s7b3AbqZ2aWSTgV+A5QDX5vZobHh4WbgaKAC+LOZ3S1patxvtqRuwG1m1lPStwnPEQAjTHLaGBgENCU8Tj82s+SStUUe26mxvF6EVWL+nmffYfE6HgY0B843szfi+dwE9CRc03vN7E+xwfAewiSp/wNWAg+Z2eB89QB+RM5jkHNNngF2Iqyoc6eZ9Y/PyQZx1ZuJZnZmoce90DU5fnmll1clC5/7VzJT9v0+ycxby7+dzBx1cKHFe9Z28LQH06FV6bKerndeMnP6flOTmRXUS2ZeH17aXLg/2DU9Zc5xey1OZr5c1iKZaV1/djJTi4JPn9Xq2MpkBqCj0itL3zX72GTmO4+dksy0+na3ZKbDdjskMz1qwyft0231Qydvl8yc2GFSMrPth68nM1M6Hp/MNCnP+yukkqGL09egXln6tdS68cJkZvrCpsnM/+38t2Tmve1OTmYAymqvSma2atosmTn8lR8lM0/s3z+ZOffL65KZq+ZfkcwAtNw2/T1G21fuTGYG1vpNMtO4Sd1k5rCuS5KZ96aU9h54Rq/0e07ru85NZvbadqtkpmH7dsnMjINOT2YAes5K/65sv1/yzytaDr41mflowshk5qvOB6QzL0xOZgDOXfjHZGb24LeTmWfapl8n+3Ur2lEWgIb1KpKZt0enn5MAZ/ZK//7q/Nkzycz8lmclM52afJrMtGmxUzJzwJeV/kzNa+DI3ZKZX52Ufg+cUZ7+PfHmivT7u9uy1eQeI7sB9wHfBs4HjjCzrsAo4GfZQUnbEBoP1spIKiN8GP2Jme0DHAEsBq4lfMDvkq9RJMvehA+d3YFrJW0ft3eNZXaQtC/hg/8BhFVJLpD0rZjbHbjPzPYAFgAXS6pPWPnjNDPbi/ihW1IL4GRgTzPbG7gxlvEmcKCZfYvwYfqq1IUzs7eA54Cfx3P8BHgEuDqWPZ7QmFDMCjPrRmhMeRa4hLCCSx9JLSTtQVii9mAz60JomDiz0GNhZncB04HDSmwUqQ/8GTie0DhW6BPBtcBR8fE9IW67EGgHdInn+1jicFcCl8TzOARYCpwBvBy37UNYIreUOg8g57HNiswxs65mVuy3TR0z25/QsyPzGJ1PaPTZj7CKzAWSdga+F8+zE2FJ3e7F6lHCY3Ceme0LdAMul9TCzH4BLI3PozMLPe55rsWFkkZJGvWXf75a7LI5t8UrpVHEOeecc84VViN7jESfmdkISccRPvgNlwThW+rcJuMDC2R2B2bEpVQxswUAMVOKZ81sKbBU0mvA/sB84J2sVUp6AP8ws8Wx7KcJH66fA/5nZsNj7lHCt+xDgClm9mHcPpDQ6HAPsAz4S5xL4/l4/47AIEmt43mt8+ookpoBzc0s8zXhQODJxG7Pxf/HE3oKzIhlfUroVdCD0GDxbryeDYCvKPxYrKuOhOv0UTzuo4QGj1zDgQGSngCejtuOAB4ws1WwelnaYoYDt0t6DHjazL6Q9C7wkKS6wDNxudyU3cn/2N4Rf053nVhzDqMJjR4ARwJ7S+odf25GaDjsATxpZhXAl/E5Wko9CrlcUuZr0p3iMebkZL5D/sd9LWbWH+gPsHTY45vpSEXnnHPOOeeqnlX79XpL/rxcbdTkhpFMP24BQ8ysWD/DvBlJe21gHXKfsZmf033Mi+9fOWi2StL+hA+evYFLCb1V7gZuN7Pn4jCefiUee0Mtj/9XZN3O/FyHcM0Hmtkvs3eKQ39Sj1eVMbOLJB0AHAuMjj14ClnFml5W9bPKuEnSC4R5Z4ZLOsrM/iPp0FjuAEm3m9kjG1jdUp43mWtdzprXt4DLzOzl7GBVTiAcn1tHAN3jcK9hZF2j7Ch5HnfnnHPOOeec21Rq8lCajBHAwZJ2BZDUSFKHEjOTgdZxnhEkNYkTpi4kzLmRcqKk+nGYS0/CXA253gBOktRQUiPCcJjMIPc2krrH22cQhsVMBtpl6koYAvG6pMZAMzN7EfgpYfgGhN4B0+Lt9IDXNVafo5l9DcyTdEj2MdehrHxeBXpL2hZA0taS2lL88Vrrukt6JDYG5TOJcJ3ax5/zNrRIam9mI83sWmAWoafDEOBHmclxJW0d41MJvR0gzLuSXcZ4M7uZ8Bh3jOcy08z+DDxIGD6VqnPex7ZAdl28TBhuVTfWoUN8rg0HTpFUS1IrwnM0VY9Cz/1mwLzYKNKR0PMnY2Xm2BR+3J1zzjnnnHNuk6jxDSNmNgvoAzwuaRxhWEbHtSP5M2a2gjAfwt2SxhI+MNcHXgM6SRoj6bQihx8XsyOAG8xsep76vUeYz+EdwkSUD5rZ+/HuycAlkv4LbAXcb2bLCHOSPClpPKEHxgOED6vPx/q/yZp5VPrF7GggPYvhGn8Hfi7p/di4cC5wayy/C2EC2vUWVwO6BnglljkEaJ14vPoDL2UN+dibMOdFvvKXEYbOvCDpPfIM14hulTRe0gTgLWAsoSHjc2BcfNzPiNnrgDsljYK1Znu8QtKEWN+VwL8IjQxjJb1PeA5lZphL1TnfY7uhHgQ+AN6L5/knQm+Sp4Av4n2PAu8R5iIpVo/cxyDjJaBOfK7eRHjOk7XPOEmPFXrcq+AcnXPOOeec2yJUWPX+tzmqkUNpzGwqYaLPzM9DCZNO5moBzC2WifOLHJi7vUB5ucaZ2Tk55Q0DhuVsux24Pc/+q8ys0hTSZvYq8K2czTMIc5jkZp8lTH6au30AoUEmrzi3Se5yvfmuQ759e2bdHkbW+ebcN4g882YUeSzuJgwNQlJT4CMz+6JIPV5i7UawzPYBxHM3s+/l2XUVoWFprUl646oyub2NMLPL8pQxMP5brcQ653tsMbN2hfbJyvTMuj2bOMdInEPkV+RZNlfSlRZWX2pBaJwbn6jH6scgT72+W6BeVwNXZ/2c93F3zjnnnHPOuU2hRjaMlELSEGB81iSobjMSJ8I9dVPXY11U0zo/L6k5YZLbG8zsy01dIeecc84555z7Jm2xDSNm1qsqypHUF/hJzubhZnbJhpSb2+tlY5H0ayp/WH/SzH5bwr73AgfnbL7TzB6uqvqVQtI/gJ1zNl+dO9lodbIhda7K657dy8Q555xzzjlX/dlmOlylOttiG0aqSvww+o02BFSl2ACSbAQpsO8GNf5UFTM7OZ2qXjakztXlujvnnHPOOedcTVDjJ191mzdJ10s6YlPXI5ekqZK22dT12BxIukJSw01dD+ecc84555zLR+b9cJxbTVIdM1tVQm4q0C1OcrpZK/Wc17Ps2sAnbMC1evODxck3qXJTspzPZldN28yU/60sKSel67TT9ulOe6dXPJLMPF3v7GRm7oJkhPLydAbguD3TUzM9PzF3pFhlJ3T6JJlZZOmV0cfO2DaZAbASnieLlqTLOWq3dL0/X7p9MiOlf//OXFA/XSGghKcbDcoqkpkR49KZ/TvXTmYmfZau0M47JCMAjB6/IpmZ8b/5ycxhh2+XzCxakn5MSnltn77jm8kMwOL6WyczXyudGfdlq2SmR6tJycwrn++RzHxrp7nJDEDD2kuTmbEz06+TY8vSo2Lv/iQ9OrpevdK+C+y2W7reIv08+fDLRsnMsuXpcnbYJv2aXL6qtHP7fEb6eAd2TJ9//drpPxmmLWiczHw1P/1esuNdtJBzAAAgAElEQVSxuyczAJ8+k35+N2+Sfu22br48mZk8rV4yU1Y3GSlZ4wbpx23ZivS5Hdzm82Tm88Xp95IxH6dP7th9ZiQzAKss/XfQ5Dktk5kvZqbP/6AOJfwhBOzfsVkJv1E3vd8/UV6tP8T/8vu1k9dR0tGElTtrE1ZmvSnn/nrAI8C+wBzgtDjdBJJ+CZxPWCn08qqYQsF7jLhvnKRGkl6QNDYuc3uapH0lvS5ptKSXJbWO2QGSekvqFpdHHhOX17V4f3tJL8X93pBUaRWarOO2kzRU0jhJr0pqk3WMBySNBG4psG8LSa9ImijpQUBZ9z0Tjz9R0oVZ2xdJujVu/7ek/SUNk/SppBOy6vSGpPfiv4Pi9lqS7pM0SdIQSS9K6h3vy3utCtR7mKQ743WbIGn/uL2fpL9KGg78VVJ9SQ/Ha/u+pMNiro+kZ2M5H0n6TVbZZ0l6J5b9p9gIkjnvP8Sljn8NbA+8Juk1SedJuiOrjAsk/TFPvS+UNErSqOeeeKjQ6TlXslIaRTZXpTSKOOfSSmkUcc45t+Hi54Z7CatadgJOl5S7Iur5wDwz2xX4I3Bz3LcT8ANgT+Bo4L7M55AN4Q0jblM4GphuZvuYWWfgJcISsL3NbF/gIXLmPTGzUWbWxcy6xPxt8a7+wGVxvyuB+4oc925goJntDTwG3JV1347AQWb2s7x7wm+AN81sT+AfQJus+86Lx+8GXB6XvgVoBAyN+ywEbgR6AScD18fMV0AvM+sKnJZVp+8RltvtBJwNdAeQVDd1rfJoGK/bxTGf0Qk4wsxOBy4BzMz2Ak4HBkrKfFW9P3AKsDdwamyk2iPW9+BYdjlwZtZ5j4yP7/XAdOAwMzsMeAI4Pp4HQN+cOkGoSH8z62Zm3U74/nmJ03POOeecc85tRvYHPjazT81sBfB34MSczInAwHh7MPAdhW6bJwJ/N7PlcYXZj2N5G8QnX3WbwnjgD5JuBp4H5hFW4BkSuyjXBvL2wZN0GtAVOFJSY+Ag4Mmsrs3F+jd2JzQ4APyVtXuHPGlmxQYSHJrZ18xekDQv677LJWUmU90J2I3Q3WsFoREnc87LzWylpPGERg+AusA9kjKNCx3i9h6xThXAl5Jei9t3p8RrleXxWO//SGqqsDwvwHNmlvl6rAehwQUzmyTps6y6DDGzOQCSno7ZVYRube/GejQgNPIQz+OpfBUxs0WShgLHSfovUNfMxifq75xzzjnnnItqwGwYOwD/y/r5C+CAQhkzWyXpa6BF3D4iZ98SB+gW5g0j7htnZh9K6gocQ+hFMRSYaGbdi+0nqTPQDzjUzMol1QLmxx4LG2rx+uwkqSdwBNDdzJZIGgZkelqstDWT+FQAywHMrEJS5rX3U2AmsA+hB9ey1CEp4VrlyH3rzPxc6jnn21+E3je/zJNflmhkehD4FTCJzXhFJ+ecc84551xlcXqBC7M29Tez/puqPqXwoTTuGydpe2CJmT0K3EpoHWwpafVwEUl75uzTnNDz4RwzmwVgZguAKZJOjRlJ2qfIod8ijEeDMOzjjXWo9n+AM+JxvgtsFbc3I4x9WxLnNzlwHcrM7D8j9gw5m9ADBGA4cEqca6QV0DNun0ziWuVxWsz2AL42s6/zZN4gDoWR1IEwVGhyvK+XpK0lNQBOinV7Fegtadu4z9aS2hY4/kJg9QyaZjaS0LPmDGJvFuecc84551zNkD0sPv7LbRSZRvg8kLFj3JY3E79UbkbolV/KvuvMG0bcprAX8I6kMYS5O64FegM3xwk7xxCGyGQ7EWgL/DlO9jkmbj8TOD/uN5HKY9OyXQb0lTSO0Ajxk3Wo83XAoZImEobUZKb2fgmoE4eF3MTa3bpKcR9wbqx/R9b04niK0C3sA+BR4D1Co8YK0tcq1zJJ7wMPECYxKlSPWnGYzyCgj5llpmZ/J9ZnHPBUnO/lA+Aa4JV4PYcAhSaB7Q+8lDUcCMJcI8PNbF6BfZxzzjnnnHM107vAbpJ2llRG+PL6uZzMc8C58XZvwtyNFrf/QFI9STsTpjF4Z0Mr5ENp3DcuLqeUb0mlQ/Nk+2T9ODDP/VMIk7mWctzPgMMTxyi07xzgyAJ3f7fAPo2zbvfLd5+ZfUSY1DTj6ri9QtKVcU6OFoQX+/h43xjyXKsiHjWzK3KOn1ufZYSJUPP5wsxOyt1oZoMIjSi52xvn/Hw3cf6SLD0Is0s755xzzjnn1sHmPsdInDPkUsJnwtrAQ2Y2UdL1wCgzew74C2H1zI+BucSe/zH3BOEL5FXAJYlh/CXxhhHnqq/n4xCiMuAGM/tyU1doQ8XzeQcYa2avbur6OOecc8455755ZvYi8GLOtmuzbi8DTi2w729Jr8y5TrxhxNU4kn5N5RfRk/EFlNq3L5WH2Aw3s0uqqn6lMrOepWYl3QscnLP5znUpo0AdBgADNqSMnPLms2a1G+ecc84555zb5LxhxNU4G9KCaGYPsxmslBJXw7nSzI6T1AewKlqdZ6OS1A9YZGa3xXq/YmbTN22tnHPOOeec23xUbO5jaaohn3zVObep9AG239SVcM4555xzzm3ZvMeIcxtIUiPCKis7EiYPugH4GLgdaAzMJjQCzALeBn5uZsMk/R6oMLNfS5oKdDOz2ZK6AbeZWU9J+wN3AvWBpUBfM5tMHpKaEFaO6WBmKyU1BcZmfs6Tv4CwvnhZrO/ZcdnhUwmrBZUTVsI5NC4J/HDM1gJOMbOPJD1DWC6rPmHoTv9Y9qLMJKySegPHZU9yG7d1Ax6TtBTobmZLs+5fvfb5/11/K71/cE7Rx2DHpXkvyVqm2CHJzJz56db3iopkBIDeB81JZj6a2zKZ+cfKs5OZ3bbJtwLz2tQyfW7/HNk4mQGYtrRVMlOrhGb3f0/ZNZlpUC9d756tJiYzDZfPT1cIWNaqaTLz6JjOyUzfju8mM7Pq7ZTM1G7WLJkBqCjhi6P3PmmYzLRvm/6z4Mi56U51K3Y8N5nZptHyZAZKm2DurFO2SmbK6ixJZhYvr5vM7Ff//WRm1Mr9kxmAVQuVzHw5P12nHm0/T2aendQxmTmzzZvJzJ0jDkhmAOrUTb+Wju82O5l55OP0/OplddNvzFs1TV/rCZ+nXyMAe+60NJk5cbuRyUytEuYKnN0g/T4xZWH6PRmgYdvaycyi5WXJTNeVQ5OZScuOT2bOXZieg/3Pz0xKZgB2OSn9/O4ycXAy84+P0+/vi5ekn2+rVqXfuJYuK22uyA47px+Tls1WJTNDPmyTzOyyXaU/Fyvp3jH9XlqXFckMwI1/SWd+eEb6d8U01U9m/j22tL9x9k8/lVwN5Q0jzm24o4HpZnYsgKRmwL+AE81slqTTgN+a2Xlx+MhgSZfF/VJ/YU4CDokzNx8B/A44JV/QzBZKGgYcCzxDmLn56XyNItHTZvbnWOcbCUv53k1YPvkoM5sWJ0sFuIjQ8PFYXFIr89fVeWY2V1ID4F1JT8UVfIoys8FxJuorzWxUnvv7E5b5ZdxHX3lfQeeKKKVRxDnnnHM1h5X4RZ0rnTeMOLfhxgN/kHQz8DwwD+gMDJEEoRFhBqxeXuqvMdfdzFJN6s2AgZJ2AwxIfXX4IHAVoWGkL3BBkWzn2CDSnNCzJbOE8nBgQFwG6+m47W3g15J2JDSofBS3Xy7p5Hh7J8I64umuEs4555xzzjlXTXjDiHMbyMw+lNQVOAa4ERgKTDSz7gV22QuYD2ybtW0Va+b8ye4PeAPwmpmdLKkdMCxRl+GS2sXJWWub2YQi8QHASWY2NvZk6RnLuEjSAYSeJ6Ml7Wtmf5M0Mm57UdKPgArgCEIDz5LYWyVT9+zvsNP9G51zzjnnnHNuE/HJV53bQJK2B5aY2aPArYThMS0ldY/3141zdCDpe8DWwKHA3VlDVaYC+8bb2UNlmgHT4u0+JVbpEeBvpFfXaQLMkFQXODPrfNqb2ci4jvgsYCdJuwCfmtldwLPA3rFu82KjSEfgwKyyZ0raQ1It4GTyWxjr4JxzzjnnnCuRmVXrf5sjbxhxbsPtBbwjaQxh0tJrgd7AzZLGAmOAgyRtA9wE/NDMPgTuIUysCnAdcKekUYRJTzNuAX4v6X1K7+H1GLAV8Hgi93/ASMLQmezZzW6VNF7SBOAtwgSu3wcmxHPsTGh8eQmoI+m/8bxGZJXxC8JwobeIw4jyGAA8IGlMnKPEOeecc845575xPpTGuQ1kZi+zZn6ObIfm2dYha7+7sm6/kX1f1va3c7ZfE7cPIw6rMbMBhEaGjB7AYDMrugyHmd0P3J9n+/fyxG+K/3J9t0DZg4FK07+bWb+s208BTxWro3POOeecc85tbN4w4lwNIuluQmPFMZu6Ls4555xzzrmqV+Gr0lQ5bxhxrgYxs8syt+P8JWcAewJHAS2BKfHuO80sNQdJSeJEryvM7K2qKM8555xzzjnnvkneMOJczdUcuNjMOsfGiyvN7LhiO0iqbWblxTJ59AQWEeYTcc4555xzzrnNijeMOFdz3QS0jxOmrgQWSxpMmDx1NHCWmZmkqcAgoBdwi6R3gXsJPUyWABeY2SRJxxPmOCkD5hBWsmkAXASUSzoLuIwwkesDQJtYjyviMsL94rZd4v93ZM+z4pxzzjnnnEvbXFd+qc68YcS5musXQGcz6xJ7jDxLGFYznbASzcHAmzE7x8y6Akh6FbjIzD6SdABwH3B4zB4YG1N+CFxlZv9P0gPAIjO7Le7/N+CPZvampDaEiWn3iMfpCBxGWKZ3sqT7zWxlbsUlXQhcCHDnLy7mvJOOLnqin990R/JiHHjbwGRmVO0dkpk92iQjALSbNzqZadV422Rm9PJ9kpntak1PZmaUp89t+fLSOgvtwYRkpnmHnZOZ8hIWRmtSa2Eys5hmyczs+q2SGYCW9mUys0e79MDeT867LJnZ+5afJTNty+onMwAztk0/T2Zu2zaZOW7p39IHW1XpJVtJxxZfJTO7zHgjfSxg8KIjk5lJXzRNZvps+69k5h9L0tMz1a6zPJlpUrYsmQFoWTYnmalbe/tkpvmD1yQzWx2Tfg+c/bsbk5nyo55LZgDq1y7h9X1Dn2RmzlHPJjMNG6SPdUb5gGTm7w3S9QHYul76fWl+v+uSmdYH753MtGnSOJmpddDZyQxAs4d+k8zUPv3CZGb+Q48kM60vSL9uZw9+O5lpfupPkxmALhMrzfdeyZg9eyczU+96P5nptHvDZKZJw/TviVHjSvud23WH9O+lnV+7J5kZ0iX9nNyz8cfJzOJa6ffblv9I/10GsGj+xcnMgWNKGPnd5f8lI1Nn+wKIrjhvGHFuy/GOmX0BEHuRtGNNw8iguL0xcBDwpKTMfvXi/zsCgyS1JvQaycxXkusIoFPW/k1juQAvmNlyYLmkr4BWwBe5BZhZf6A/wKKR//QmceeKKKVRxDnnnHPOFeYNI85tObK/5ixn7df/4vh/LWC+mXXJs//dwO1m9lzsgdKvwHFqEXqWrPWVaWwoKVYH55xzzjnnnPvGpfseOuc2VwsJQ1ZKZmYLgCmSTgVQkPk6uhkwLd4+t8hxXiHMNUIsI18ji3POOeecc249VFj1/rc58oYR52ooM5sDDJc0Abh1HXY9Ezhf0lhgInBi3N6PMMRmNDA7K/9P4GRJYyQdAlwOdJM0TtIHhMlZnXPOOeecc65a8m7sztVgZnZGge2XZt1ul3PfFKDSbKdm9ixhAtfc7R8CuTPInZYn1y/n586Fa+6cc84555xz3wxvGHHOOeecc8455zYTtrmOV6nGfCiNc84555xzzjnntljeMOKcc84555xzzrktljeMOBdJai7p4ni7p6TnN9Jxeko6aGOUvTFI6hgnVn1fUvtNXR/nnHPOOee2ZGbV+9/myBtGnFujOXDxuuwgqfZ6HKcnsNk0jAAnAYPN7Ftm9kkqHJf49fcW55xzzjnn3GZBtrk26ThXxST9nbA07WRgJbCYsCxtZ2A0cJaZmaSpwCCgF3AL8C5wL9ASWAJcYGaTJB0PXAOUAXMIy+A2AEYA5cAs4DJgEvAA0CZW5QozGy6pX9y2S/z/DjO7q0Dd2wH/At4kNLpMA040s6WSusTyGwKfAOeZ2TxJw4CRwGGERqHzzeyNnHKPAR6K9f3QzA6T9DPgvBh50MzuiMd/OZa3L3AMsAfwO6A2MNvMviOpEXB3vKZ1gX5xtZvc87kQuBDg5Avv3/eAXhfmO+3Vtm2Rbod5b+yCZOb0o5TMPPtGaXNWL160Iplp1bpRMvOD/aclM39/Z4dkZuHXK5OZi3pNT2YAKkpoU39o2PbJTIf29ZKZOfPTv6O+LuHctm1ZN5kB+GLa8mTm4K7p58B7/03Xe/bspclMkybpawRQt276MemxT0Uy8++R6Ux5eQmPybz0ue3YpmkyA9C8Wfp6N2mUfu3u2mpxMvPVogbJzJvvLElmDu+eLgfgf7PSbeutW6Qfk3/9e14y84Pj0+83Lw9PP7aH7l/aa2lVefoxee+D8mTm53sOTWZu++A7yUyTxulr3S79VgrAJ/9LZ+bOTb+XlPJ7YtGCZclM+91bpCsEfDltUTKzX7fmyUwpHx2+XpgOffTh18nMyUeW9lqa9EVZMjP1s/T70mGXfyuZmfvq5GRmwqT0sZo2TdcZYNasdFnLl61KZvbcs1kys3hJ+nFbtSqdadCgtO/HGtZPv0/MnJX+Hb9kSfr8a9curU6/O79eulLVwK/+srxaf4jfXK5jNl+Vxrk1fgF0NrMuknoSlqbdE5gODAcOJjQ8AMwxs64Akl4FLjKzjyQdANwHHB6zB8bGlB8CV5nZ/5P0ALDIzG6L+/8N+KOZvSmpDaGBYY94nI6EhosmwGRJ95tZod8QuwGnm9kFkp4ATgEeBR4BLjOz1yVdD/wGuCLuU8fM9o8NIL8Bjsgu0MxezK6vpH2BvsABgICRkl4H5sXjn2tmIyS1BP4MHGpmUyRtHYv8NTDUzM6T1Bx4R9K/zWxxznH7A/0Bbh7s0247V0wpjSLOOeecqzkq/M/jKucNI84V9o6ZfQEgaQzQjjUNI4Pi9saEHhpPSqsbRjNf8e4IDJLUmtBrZEqB4xwBdMrav2ksF+AFM1sOLJf0FdAK+KJAOVPMbEy8PRpoJ6kZ0NzMXo/bBwJPZu3zdHa+QLnZegD/yDRkSHoaOAR4DvjMzEbE3IHAf8xsCoCZzY3bjwROkHRl/Lk+oTfMf0s4tnPOOeecc85VOW8Yca6w7H6w5az9esn0cKgFzDezLnn2vxu43cyeiz1Q+hU4Ti1Cz5K1+svGhpJidUjVt5T+p5l9Vpct6WHgW8B0MzumhDIy0v3UQy+TU8ws3Q/VOeecc845574B3v/WuTUWEoaslMzMFgBTJJ0Kqyce3Sfe3Yww1wfAuUWO8wphrhFiGfkaWdaLmX0NzJN0SNx0NvB6kV0ws75m1qVAo8gbwEmSGsb5Qk6O23KNAA6VtDNA1lCal4HLFFt9JKUH8zrnnHPOOedWM7Nq/W9z5A0jzkVmNgcYLmkCcOs67HomcL6kscBEwgSuEHqIPClpNGES14x/AifHJXAPAS4HukkaJ+kD4KINPJVc5wK3ShoHdAGuX9+CzOw9YADwDmGi1QfN7P08uVmEyVOfjtdlULzrBsKkq+MkTYw/O+ecc84559wm40NpnMtiZmcU2H5p1u12OfdNAY7Os8+zhAlcc7d/COyds/m0PLl+OT93LlLvqYSVXjI/35Z1ewxhzo/cfXpm3Z5NgTlG8tTjduD2YseP2/5FWCkne9tS4EeFzsM555xzzjnnvmneY8Q555xzzjnnnHNbLO8x4txmRFIL4NU8d30nDgVyzjnnnHPO1WBWsalrUPPU2B4jkppLujje7inp+Y10nJ6SDqriMlfXfT3rs1HOdX1Iahfn7EBSN0l3xdtrXTdJF0k6Zz2Psahqaluw/D6Sts/6+UFJnTbmMQsxszlxYtTcf8lGkap6LCRtL2lwVZyPc84555xzzm1qNbnHSHPgYuC+UneQVNvMytfxOD2BRcBb67hfMetc982BmY0CRsUfe5J13czsgU1UraIk1Qb6ABOA6QBm9sNvuA51zGxVVZa5IY+FmU0HeldlfZxzzjnnnHNuU6nJDSM3Ae0ljQFWAovjt9ydgdHAWWZmkqYSVszoBdwi6V3gXqAlsAS4wMwmSToeuAYoA+YQViJpQFhBpFzSWYQlVycBDwBtYj2uMLPhkvrFbbvE/+8ws7tKqPsQ4CrgFuC7gAE3mtmgAvsCNJX0ArAr8BpwsZlVSLof2C/We7CZ/QYgXoOBwPGEFUNONbNJ+QqO59E+lr0NcIuZ/Tkuv1q0jpJ6AlcCl+a5bt8BFpnZbZJ2jdewJVAOnArMJExkulWs4zVxctOi4jGvJyyRuy7XI/OcuB3oBjwmaSnQnTCh6JVmNkrSkcB1QD3gE6CvmS2SdBNwArAKeMXMrixQv3bAQ/Fazor7fy5pALAM+BYwHPhZnn37sWkei3LgeTPrHOv/V6BRLPpSM3srlt+PsBpP7muupGuT0W33FcXuBqCiQsnMJ83rp8uxlcnM7rs2SGYAZs4uS2a67Z5u7/p4wfbJTMed053/JnyYfrufvKBNMgNQyipsdeqkQ7VL6LN4SMcFycz7nzdLF1SiHvuWcJ0+r53MdNg5faxGDRsnM2fsOSFdEPDUx3slM7MWpstp2DD9nGyxdfoaLWuVfr212Kq0TquTP16WzHxVO/0eUGGNkpn/TUu/B7Rrmy4HSuvj3LSEohYvS1+nY3s1T2ZqkX4v3a51+nHr2mh8MgP8f/bOO9yq6trb7w+kIyBVBBXFgoiCiGIPiBqvSSxRYxRrLNcYNSYx6r3mixiTe1USNfZLii1qiBXUxBIURRQpCgdUFBVUVFB6r2d8f8y5YbPZe891Doc+3uc5z1l7rTHnHHOutcsaaxTuHdEpKXPgPum5VdQ/LClTO8P5z8Jn07L103HH9OdbZWX6O6BNhvdJvbrpz7e587I909t5lyZJmcoMl27dOun5z5iVfi8d0CN93X7wRVofgIWL0op33rNhUmbWkA+SMs377JmUaXhf+rN7xYpsnxPt26X1zsKe7dKfAdPm1kvKfPJZ+tw2b5r+ngQYMzb9Hb9bx22TMmcd/FlS5qE3s/3G2Vyo3ExL4m7KbMmGkWuALmbWLd6kDQL2Jjz1Hw4cCrweZWeaWXcASUOAi81skqSeBK+NI6PsQfHG7gLgKjP7haR7iTeRsf0jwK1m9rqknYAXgL3iOJ2A3sC2wAeS7jEreie2SvfY58mEMqtdCTfAoyS9ZmZflZj7gUBn4FPgeeD7wOPAtWY2K3pBDJG0r5lVxDYzzKx7DOG5EijnFbEvocpJI+CdaIQ5uJiOxRqb2ZQi69YnT+Rh4EYze0pSfULI1zLgJDObJ6klMELSYMtWKLs665F/TVxANITE18T/LQnGsqPMbKGkq4GfS7oLOAnoFK+Xct/8dwAPmNkDkn4E3A6cGI+1Bw5JeDFtjHPROu/418DRZrZE0u7AowRDEgSjzhrvOUnvZ1kbSRcRyv1yxa/v5LunnF9mCRxn6yaLUcRxHMdxHMcpzZZsGClkpJlNBYieGB1YbRgZGPc3Bg4BHsvd/BI8ASDcpA6U1JbgNTK5xDhHAZ3z2jeJ/QI8Z2ZLgaWSvgbaAFMz6H4Y8Gi8QZ4u6VWCp8PgMnP9JM7p0dj+ceAH8YZzG6AtwViQMwQ8Gf+PIRgOyjEoll1dLOkVguGhlI4VZfpZC0nbAu3M7CkAM1sS99cB/kfSEYRHce0I6zctQ7fVWY9yHjk5DopthsfzXRd4E5hL8Pb4S8z3Ui7ny8GsXu+HCJ4eOR7LENq1Mc5Fvlgd4E5J3QieJHvkHSv2nhtBhrUxswHAAIAh45e4SdxxHMdxHMdxnPXG1mQYWZq3vZI1574w/q8FzMl5ahRwB3CLmQ3OCxMoRi2CZ8kavr/xZrKcDjVJ4Y2kSdqF4AlygJnNjqEa+T6cOd2y6LVW/9VVtAr0JYRz7G9my2O4S9oHNVCd9VhIGgEvmdnpax2QDiSEpJxCCFc5MqOu+WTRYWOci3x+Rghz6kq49vOv+7WudzNbUUNr4ziO4ziO4zhbJdmc5p2qsMVWpSHklEgHpeVhZvOAyZJOBVCgazzcFMhFOp5TZpwXCXkaiH0UM7KkKOxzGHCapNqSWgFHACPLtD9Q0i6SagGnETxjmhButOdKakPIP1FdTpBUX6F0bC9gVDV0LHp+zGw+MFXSiQCS6klqSFj/r6NRpDewcxX0Xdf1KHUtjSCEh+wWdW0kaY/oIdTUzP5JMBx0LdI2xxvAD+N2X8I6VoWNcS7yaQp8ZWaVwFlA2aDSKq6N4ziO4ziO4zjOemeLNYzE8qXDFcqT9q9C077A+ZLGAe8CJ8T9/QghNmMICSVzPAOcJGmspMOBy4EekiokvUdIbFlt3SX1B54ihEGMA14m5DcpF0IyCrgTeJ8Q8vOUmY0D3iEkh32EkPOhulQQkpiOAG6IVUqqqmPhuuVzFnC5pAqC4WB7Qq6LHpLGA2fHeWRlXdfjfuDeqOuqzJtm9g2hYs2jUdc3CXlktgWejftep0ji1DwuA86LsmcBP63CvGDjnIt87gbOie+XTqS9XKqyNo7jOI7jOI7jOOudLTqUxszOKLH/0rztDgXHJgPHFmkziJDAtXD/h4QEmPmcVkSuX8HrLqU1L6r7L+NfWcxsKMFDoNixc0vs75C3PZrgeVCOCjM7u6APK6ajmU0hVCXJ6TY0bheu27C8NpMoHl5xcAn9U6Ud5pnZd4u0O7dEfx0KXj8BPJG3q1fesZcJ+TsKOTChU679pxSZayndirCxzkWXvOP5ba8u7D++vjRPJtPaOI7jOI7jOI6zNpWVHkpT02yxHiOO4ziO4ziO4ziO4zgptmiPkU2dmBdiSJFDfWI4Tbm2+xCqmOSz1Mx61pBu59jyIZoAACAASURBVLF2WMdwM/tJTfRf0yTWY+iG12hNJF0LnFqw+zEz+12GtpvVuXAcx3Ecx3Ecx9mccMPIRiQaP6qTnBUzG1/dthn7vw+4r9gxSc2AM8zs7lih58pioSrrSux7mZm9kZLNuh75uldTnyrNNVa7edbMfidpITDAzBZVZdxy56KqFM5f0g7A7WZ2Spk2HYBDzOyR+LoHcLaZXV4TOjmO4ziO4ziOkx0vSlPzeCiNUx2aAZdUpYGkstVKStALOKQa7cpRZd1rkCuAwqouG5o15m9mX5YzikQ6AKty3pjZaDeKOI7jOI7jOI6zpeAeI051uBHoKGkssBxYKOlxQkLOMcCZZmaSpgADgaOBmyWNAu4CWgGLgAvNbKKk7wG/AuoCMwmVgRoQKvqslHQmoXrLROBeYKeoxxVmNlxSv7hv1/j/NjO7PYPuLwFXATcTyvUa8FszG1hm7o1LzPXXwPei3m8A/2l5BcYlXQ7sALwiaYaZ9S7WuaQFwB+B7wKLgRPMbHosu1ts7q0IVXV2IFTFORrY38xmSPo58KMo/2czu63I/O8ieLR0iZ4hDwGNYptLo7fOjcBesc0DhGo+V5rZdyU1B/5KWPtFwEVmVlHqnEhqBPwDaE8o7XtDYr15YXjaJH5At7pJme6dkyIMfHFJUqZly+XpjoDm26U/XmcsSOtdv05lUmbi5LRMlnr3I8YrKQOwbeO0nbNVy3RfkyYvS8o0qp+uut662cqkzLGL/pGUAXijzklJmSP2WpCU+Xxuk6TM3ruk9b5/7N5JGahkr13SUm+NS1+7rVvXS8pI6XO7TYZfF9tUx1xeghUr0u+BFtum13tKhmR2S5elZabPyTa5po3Ses9blH6GtWBRerxxM9Inpfd+aYfGySt3TcoAzJuXfn8vWNIoKTP+owZJmdoZlrv99unrdsKH2T7f589P97XPHmmlPpiSPv/bt0if/3YtkyIAfPxFWu/2LdLnbd6S9LVUuTL9PmlYLz3/5SuyPcNdsSI93rYN0+ONrlialGl434SkTI/zytZYAGDkX9L9AHTbLX1dTpya/j3xyuj0WJWV6d9BzZunx8rKiuXpc9Jqu3Q/DwzfKS3kOAncY8SpDtcAH5tZN0Llk/0I3hCdCTfCh+bJzjSz7mb2d2AAcJmZ7Q9cSSj1CqFs60Fmth/wd0J52SkEQ8CtZtbNzIYRDAa3mtkBwMnAn/PG6QR8m1Dx5DpJdVK6m9kvge8TQnC6AkcB/SW1LTP3UnO908wOiNWGGhAMG6uIhpovgd6ljCKRRsAIM+sKvAZcGPeXmvt1wMtmtjfwONFwIml/4DygJ3AQcKGk/YrMP5+vgaPNrDuhslLOuHQNMCy2ubWgzfXAO2a2L/DfwIN5x4qdk2OBL82sa1yr54stgqSLJI2WNHrcsL+UWS7HcbIYRRzHcRzHcZzSuMeIUxOMNLOpANGroAPB2AHBYwRJjQlhMY/lPW3MPZpsDwyMBom6wOQS4xwFdM5r3yT2C/CcmS0Flkr6GmgDTM2g+2HAo2a2Epgu6VVC+d3BVZxrb0lXEUJlmgPvAs9kGL+QZcCzcXsMwQMESs/9MOAkADN7XtLsvHk9ZWYLo65PAoeXmRdAHeBOSd2AlcAeGfQ9jGCowcxeltRCUu5RebFzMh74g6SbCJ4qw4p1amYDCIY0rrp3sUdROo7jOI7jOE7EvFxvjeOGEacmyPc7XMma19XC+L8WMCd6mRRyB3CLmQ2OCU77lRinFsGzZA0/v2gsKKdDTbLWOJLqE7xfepjZ5zGMpH41+1+eF4KTP49yc68pfgZMJ3jP1ALS/pTlWWutzOxDSd2B44DfShpiZr9Zx3Ecx3Ecx3Ecx3GqjYfSONVhPpAO/M/DzOYBkyWdCqBA13i4KfBF3D6nzDgvEnKNEPuoTlWewj6HAadJqh3zdRwBjKxinzkjyIzoxVEqmWmV1y2PUnMfDvwg7jsGyEViDgNOlNQw5vU4Ke4rp0NT4CszqwTOIuQASek9jJATJle1Z0Y810WJVXAWmdnfgP5A91KyjuM4juM4juM4GwI3jDhVJpYZHi5pAuHmNit9gfMljSOEmpwQ9/cjhNiMAWbkyT8DnCRprKTDgcuBHpIqJL1HSM5abd0l9QeeAiqAccDLhPwm06rY5xzgT8AE4AVgVAnRAcDzkl6pqt6Unvv1wDHxXJwKTAPmm9nbwP0EI89bhOSr7xSZfz53A+fE89OJ1d4+FYQkuOMk/aygTT9gf0kVhCSt51CefYCRMQzpOuC32ZfAcRzHcRzHcZxKs036b3PEQ2mcamFmZ5TYf2nedoeCY5MJyTcL2wwCBhXZ/yGwb8Hu04rI9St4XTYVeBHdfxn/ymJmQ4Ghea/z5/orQmWdwjbn5m3fQQgbKjdG47ztxwkJVTGzGRSZOzAX+LaZrZB0MHBAzOuBmd0C3FJkjML5d4n7J7Hmel8d9y8HjixoMzQemwWcWGSMfgWvc+dkCsF45DiO4ziO4ziOs0nghhHH2bzZCfiHpFqExK0XJuQdx3Ecx3Ecx3GcPNww4myRSGoBDClyqE8MJynXdh/goYLdS82sZw3q9xarq/LkOMvMxleln+jlsV9N6eU4juM4juM4zqaNV6Wpedww4myRRONHdZKzEo0T1WpbhTFqzMjiOI7jOI7jOI7jVJ+yyVclNZN0SdzuJenZ9aFE7PuQGu5zle7VaLuDpMdrUp8NhaQrJDWsKbkqjn24pHdjstQGNdm3UzNI+u+C129kaLOgzLEOMfGr4ziO4ziO4zjOZomsTNZYSR2AZ82sSyzFeaWZfbdsh1JtM1tZJSWkfsACM/t9Vdol+uxA1L2m+twckDQF6BGTda6zXBXHvhd4PZZi3ShI2sbMVmys8atLdd43VexfgIB5+QleM7ZdUKrNhnif/f7JtK/g8hVpd8L589OXxYmHLknKDB6RzeY3e8aipMx2LdO2yY47103KTPsmfel03a0yKSMlRQB479O0s+HsOcuTMp061knKfPxp+rwtW5aeG0D9BrWTMnNmL03KNGiY1nvF8rRO8+emr7eWrRslZQDq1UsXmWuxXXr+X05Ln7clS9LnRBkupnr10voALF6UHq9W7fR4u+xcPynzxVfLkjLz56dljj6kMFKyOK+OTs/t+p0eTspc+8npSZnTjkyP9dzI9GdS/frZChp2aJeWe3dS+no7sEv6Ohn7Qfo7oNzv3Xzq10+P16xJem6TPk5/ByxfVjNf+9vUyXZOsrwvd9gh/R03a3b6vGVx81+0KN1P507ZfrJ8OjX9vsyy3k2apL9zV6xIf75XZvhaOvD8bD+dRt+Xfv40b156/q1bp8/tkiU1c002apjt8z0L8xfUjE61MtZive7MOhl/DW1cfvL7OZt0LM1dVzbbLNYxn9QlciPQMZbW7A80lvS4pImSHo43W0iaIukmSW8Dp0rqKOl5SWMkDZPUKcp9T9Jbkt6R9G9JbeKN1cXAz3JlWSW1kvSEpFHx79DYvp+kv0oaKukTSZdn0V1SfwX6xzKl4yUVq/BBHGfVU3BJ50p6WtJLcZ6XSvp5nMMISc2j3FBJf4zjTZB0YNzfPLaviPL7xv3firJjY1/bxv2/jHOukHR9GR0bSXoullCdIOm0uB47AK8oloSVdI+k0dGT4/q4r5jcMZLelPS2pMcklfwmktQn6jw+no96ki4AfgDcIKnkr7hi84vrPVHS/ZI+jNfWUZKGS5qUt5aN4ngj4/gn5J2jwZJeBoZIqiXp7tjnS5L+KemUKLu/pFfjtfmCpLZ55++m2PeHCuWBkVRb0u/jGldIukzSkZKezpvT0ZKeKjPn0+NaTZB0U97+BZL+oFAe9+ASbadI+t94nYyW1D3q/bGki6NMY0lD4rkbn7cuHSR9IOlBQinhvwANYl8P53Qo10dViOMNi328regFJukuScfH7ack/TVu/0jS70r0dVGc7+gRLw6oqiqOsxZZjCKbK1mMIo7jpMliFHEcx3G2TFKP/a4BuphZNwWPkUHA3sCXwHDgUOD1KDvTzLoDSBoCXGxmkyT1BO4mlPt8HTjIzCzeSF9lZr9Q8DRY5TEi6RHgVjN7XdJOhPKee8VxOgG9gW2BDyTdE8uJltQ99nkyIW9EV6AlMErSa2b2VYZ16kJIcFkf+Ai42sz2k3QrcDZwW5RrGNfqCOCvsd31wDtmdqKkI4EHox5XAj8xs+HRCLFE0jHA7sCBhKf7gyUdYWavFdHpWOBLM/tOnF9TM5sr6edA7zxPkGvNbJak2gSjwb5mdnu+nKSWhFKzR5nZQklXAz8HflM4qKT6wP2EJKYfxpvuH5vZbZIOI3gPFA1DKjU/4DNgN+BU4EfAKOAM4DDgeOC/CSVhrwVeNrMfSWoGjJT079h9d2DfONdTgA5AZ6A18D7wV0l1COVyTzCzbxSMY7+LYwJsY2YHSjoOuA44Crgo9tUtlsRtDswG7pbUysy+Ac4jnO9ic94BuAnYP7Z7UdKJZvY00Ah4y8x+UaxtHp/F6+rWuPaHEq7FCcC9wBLgJDObF8/lCEmDY9vdgXPMbETU59Tce6KAon1Y1kdsga+Bo81siaTdgUeBHsAw4HBgMNAOaBvlDwf+XqwjMxsADIBsHiOO4ziO4ziO4zjVparJV0ea2VQABS+SDqw2jAyM+xsDhwCPabXLXs6ntD0wMD6lrwtMLjHOUUDnvPZNtNqD4TkzWwoslfQ10AaYmkH3w4BHY7jCdEmvAgcQbtZSvGJm84H5kuYCz8T944F98+QeBTCz1yQ1iTfvhwEnx/0vS2ohqQnBsHRLfHL/pJlNjYaDY4B3Yn+NCTe2xQwj44E/RA+EZ81sWAndfyDpIsK5bkswFlQUyBwU9w+Pa14XeLNEf3sCk83sw/j6AeAnrDYOlaPU/D6LfY4HkPQuMCQa0MYTrrNc++MlXRlf1yeUqwV4ycxmxe3DgMfMrBKYpugVE3XvArwU51kbyDeMPRn/j8kb8yjg3lx4Tm4MSQ8BZ0q6j+DtcXaJOR8ADI0GFOL5PgJ4GlgJPFFqsfLIXaPjgcZ51+LSeI0tBP4nGpkqCcaHNrHNpzmjSAKV6GNahrY56gB3SupGmNsecf8w4ApJnYH3gO3iZ8DBQDmvL8dxHMdxHMdxCvDHhjVPVQ0j+cHXKwvaL4z/awFzSjyVvgO4xcwGRw+UfiXGqUXwLFkjADvezJbTYX2RP2Zl3uvKgvELL9GSl6yZ3SjpOeA4gkHi24Sb0/81s/9LKRS9NbrH9r+VNMTM1vDwkLQLwTPlADObLel+gjGhEBEMC+kg5XWj6PwUwqmyrLGAk83sg4L2PVl9/aXGf9fMioat5I2Z5bq6j2AgW0IwwlQnr8mSjHlF8teicJ22AfoCrYD9zWy5Qv6Y3HnOsi4k+sjKz4DpBK+sWoS1wcy+iAacYwlGvuaEsKsF0cjjOI7jOI7jOI6z0UgFJs8nhKxkxszmAZMlnQoh6aOkrvFwU+CLuH1OmXFeBC7LvYhPoKtKYZ/DgNMUcka0Ijy1H1mNfstxGkAMKZlrZnPjuH3j/l7AjBiu0NHMxpvZTYTQkU6EkKEf5bxjJLWT1LrYQDFEY1FMdNqfEEoCa867CeHGeK6kNsB/5HWRLzcCOFTSbrHvRpL2oDgfAB1yssBZwKvppYGqzK9M+8ukVblt9ishNxw4WSHXSBugV57urSQdHNvXkbR3YsyXgP+UtE1s0xzAzL4khJT9imAkKcVI4FuSWsZwptPJvl5ZaQp8HQ0avYGdy8gujyFF69JHOT2+ip46ZxE8cnKMAK4gGEaGEQx2pbycHMdxHMdxHMdxNhhln4qb2UyFBJgTgMWEp8FZ6AvcI+lXBPf6vwPjCB4ij0maDbwM7BLlnwEeV0j4eBnBvf4uSRVRx9cICVozU6D7v4CrCK774wieHFeZWVXCBLKwRNI7hDnn8lb0I+S3qAAWsdogdEW8Aa0E3gX+ZWZLJe0FvBnv/RcAZxJyNxSyD9BfUiWwHPhx3D8AeF7Sl2bWO+ozEficYDCghNy5wKOScmFPvwI+pICYP+I8wnnchmDUuTfL4pjZiyXmlzXd9A2EkJ0KSbUIoVjFqiQ9AfQhhG18DrxNMFQti/lHbpfUlHBt3UZY/1L8mRASUiFpOfAn4M547GGglZm9X6qxmX0l6RrgFYLHynNmNijjfLPyMPBMDDsaTTjfpRhAmMvbZta3mn2U4m7gCUlnA8+zprfKMOAYM/tI0qcErxE3jDiO4ziO4zhOFclS+cmpGmXL9TrZkTSUUM549MbWxQm5bsxsgaQWBK+NQ2vaECbpTkJi3b/UZL/Omni5Xi/XmyJLud6sVWk2x3K9WavSeLleL9ebYmsv15u1Ko2X6/VyvSm8XK+X613fXHzT7E36Jv7eq7fbLNYxnw2Rn8NxNgbPxrwWdYEb1oNRZAzBIyJVUcZxHMdxHMdxHMfZhNnsDSPRI2BIkUN9zGxmou0+wEMFu5eaWc+q6mFmvaraJgvrMr8aGPspVoc75bjazF5ItKuxda0u6+t85PW/f+E+SW+xugJTjrNy1XbKUd213lBsCufUcRzHcRzHcRxnfbDZG0aicaA6yVmJN6zValtTRK+GM8zs7pic9UozW5U3Y13mVzBOL2CZmb2RtY2ZnZToc5XuBe3W27rGXCg9zOzS9dH/upAzEkjqR6i48vsqtC271jlitZgeZjajOjqW6HMo6TCwPsAhZrYotvkncEZN6eA4juM4juM4TjY8HUbNkzHaylmPNAMuqUqDWN2kqvQCDqlGu3JUWfdi5Cq+bG6si94bcs6xMtS6vtevAFYFn5vZcWY2Zx37dBzHcRzHcRzH2ehsljekWxg3Ah0ljSVUl1ko6XGgCzAGONPMLHoKDASOBm6WNAq4C2hFqHZzoZlNlPQ9QkWZusBMQoWgBoSqPislnUmo/DORUE1mp6jHFWY2PHo77ATsGv/fZma3Z9D9JULln5sJZYEN+K2ZDSzWMHqw3ADMJpQq3iPqdnnU/S3gEjNbGavg/Bcwh1BVaGns437gWTN7PL5eYGa5UsBXEyreVBIq/lwjqWOxNSuhXwfgr0BL4BvgPDP7LI65BNiPUOXn5yXWpqukN2P7m83sT1Wc8z3AAYRz97iZXVegXwPgSeBJM/tTCf1fiH3uDxwnaU/gekK4z8dxTgsK2q01rqTLgR2AVyTNiFWMphA9VyT9nNVVmP5sZrfF8f8FvE4wyH0BnGBmi2N/FwMrgPfM7IdF9L8IuAjghAvu4YA+F5ZY5sBx+88uexxg6rxmSZkhFekkbx13zmaXbNypZj5e69ROJx1r1zwt88WsdEK5dyemkwUC9DkoLTN2WXqdli1P5+Vq1zad6HTO3HSWu64d00n+AMZ9nE5O17pF2s74rXYfJGUqM9i4R0xrmpQBaLVtOvHem++mny5dvcvTSZmndUpSJksi33bNsl1vr7yTvnYzJXtNd0OWJP/HHJpOrLqiMlvOuR3bpxPC/q3OBUmZrqnC80DFF2mZvod+lpR5b1a7dEfAS6/OTcr0OaJJUmbWgvT7bcH8xUmZOnXT/WRJmAnQvFm6ryt7pz8DRi7YNylTv076833FyozXW5NZSZklK9OfJXVqpT9PH3gh/Vna9+h0P5NmZHsqvscu6Td493bpdHN//lf6d0D7dukkxd12S89teIakqgA9zksnaW01fmRSZsyU9HU7a1Y6AXmW5LN7dcyWqH7Ch+mk0FkSdS/KkKR73rz03ALp3x3OlokbRjY+1wBdzKxbvHEeBOwNfEm48T6UcHMJMNPMugNIGgJcbGaTJPUklEo9MsoeFI0pFxDKEv9C0r3khXdIegS41cxel7QT4SZ6rzhOJ6A3sC3wgaR7zKzYJ/wq3WOfJxNCaLoSDAKjJL1mZl+VmHv32H5yLON7GqF6zHJJdwN9Jb1EuJnfH5hLKHv7TrkFlfQfwAlATzNbJKl5PDSgxJoV4w7gATN7QNKPgNuBE+Ox9oSwknK/VvYFDgIaAe9Iei7rnIEHgWvNbFb0DhoiaV8zq4h9NCaUwH7QzB4so8PuwDlmNkJSS4LB7CgzWxgNRz8HflPQpti4t0fjR+/CEB5J+wPnAT0J5YjfkvQqwfizO3C6mV0o6R/AycDfCNfNLrE8dVFrhZkNIJwvfvf3le4r6DhlyGIUcRzHcRxny6HSy/XWOG4Y2fQYaWZTAaInRgdWG0YGxv2NCU/hH8t7SpZ7hNUeGCipLcELYXKJcY4COue1bxL7BXjOzJYCSyV9DbQBpmbQ/TDg0WgwmB5vkA8ABpeZa06/PgTjx6ioUwPga8IN91Az+ybOfSCwR0KPo4D7cvkw4o1+uTUrxsHA9+P2QwRPmByPJYwiAIPMbDGwWNIrwIEEj5cscwb4QfSa2AZoC3QGcoaRQQQvlFQNx0/NbETcPij2MTyOVRd4s0ibcuMW4zDgKTNbCCDpSeBwwjmfbGZjo9wYwrVM7O9hSU8D6cfTjuM4juM4juM46xE3jGx65Pt5rWTNc7Qw/q8FzMl5ahRwB3CLmQ2OHij9SoxTi+BZsiR/Z7xpLqdDTbIwb1sED43/KtDnREqzgpgnJ+bQKOdHWW7NqsrCtAiFZtzc6yxz3gW4EjjAzGbH8J18f+vhwLGSHrHymZcKx3rJzE4vJZxh3KpSeB3l/Cq/AxwBfA+4VtI+Zpb2gXQcx3Ecx3Ecx1kPePLVjc98QshKZsxsHjBZ0qmwKrlm13i4KSGfA8A5ZcZ5kZBrhNhHdQwGhX0OA06TVFtSK8LNbzroMTAEOEVS66hPc0k7E3JkfEtSC0l1gFPz2kwheFwAHM/qoMCXgPMkNcz1lVizYrwB5HJf9I1zqwonSKqvUG65FzCqiEypOTchGDXmSmpDyNmSz68JoSp3VUGfEcChknaLYzWSVOh5U27cUtfpMOBESQ0lNQJOosxaRQPWjmb2CnA14XpNB/Q6juM4juM4jgOEqjSb8t/miBtGNjIWyvEOlzQB6F+Fpn2B8yWNA94l5NSA4CHymKQxQH4+iGeAkySNlXQ4IeFnD0kVkt4jJMOstu6S+gNPEcIkxgEvE/KbpDNdhb7eI+TAeFFSBcG40TbmJ+lHCPsYDryf1+xPBKPJOELoy8LY1/OEUI7RMRzpyihfas2KcRnBuFIBnAX8NMs88qgg5EMZAdxgZl9WYc7jCHlUJgKPxHkX8lOggaSbixxbixiKdC7waBzrTUIumXyZcuMOAJ6PYUH5bd4G7icYwN4iJF8tlwOmNvA3SePjWLebV7dxHMdxHMdxHGcj4qE0mwBmdkaJ/ZfmbXcoODYZOLZIm0GEHBSF+z8kJATN57Qicv0KXpdNhV1E91/Gv7KY2VBgaMG+gcQ8KgX77wPuK7J/OiF3Ro6r847dSKiaky9fdM1K6PcpRRKzmtm5Gdr2K7F/KNnnXHScguvgvDI6TCFUNsrf9zIh50uhbK8M495BCNNaSw8zuwW4pdz4FpP+Rg4rpbfjOI7jOI7jOM6Gxg0jjuM4juM4juM4jrOZYF6VpsZxw4iTJObJGFLkUJ8YTlOu7T6Eqi75LDWznjWl37og6VrWzFsCoerM7zK0PY+1Q2yGm9lPakq/DDpU+9w4juM4juM4juM4bhhx8pDUDDjDzO6OFW2uNLPvxhvsalVzMbPxhW0l9ZJ0iJm9sc5Kr+5zle5V1O93QNIIUqo58Hp+yNOGpjrnRlIH4BAze2R96FRkvH8Szs2cgv39gAUFYTaO4ziO4ziO4zgbFE++6uTTDLikKg0k1a7GOL2AQ6rRrhxV1r0YkjZLY2EV9e4AFM1rsz4ws+M8warjOI7jOI7j1AxWaZv03+bIZnkT6Kw3bgQ6xkouy4GFkh4nJNEcA5xpZiZpCiFh6NHAzZJGEUrHtgIWARea2URJ3yNUXakLzCRUhWlAqICzUtKZhOovE4F7gZ2iHleY2fDoUbATsGv8f5uZ3Z5B95eAq4CbCSVnDfhtTHS6FtE75gZCCdxOwB5Rt8uj7m8Bl5jZyhg+81/AHEL1naWxj/uBZ83s8fh6gZk1jttXA2cClcC/zOwaSR2LrVkJ/ToAfwVaAt8A55nZZ3HMJcB+hAoyPy/S9lvAH+NLI5RQvhHYK67VA8A98a8HsAL4uZm9IulcQvndpkA74G9mdn0xHeNYTwM7AvWBP5rZgLh/CtDDzGbE0KVzgK+BzwnXVbG+LgIuAvjFdbdz/Kk/KjUsALvNfqvscYAZ9Y5KyjRsUDcpU2ebbB/2vbYtVqF5TUYt7Z6UGTE+Pd5/b18YrbY2b7U/PSnzxpuLkzIA7RovSMp82KBVUmbegvTcuu26JCkzfkn9pMyKymzPATq2T+s0fMyipMwP5r+clKncrnVS5tDWy5MyAF+saJeUscqGSZkpbQ9NyuyVIUqvca2FSZkVGX+CfPJh2v6+c8fmSZnWTdJr2XLf9HVysF5Pytw16fCkDECbVkrKfD1jZVLmp/OuS8rctm3Jj+9VtK+b/iy99skeSRmANjumz8lxcx9Myvx0zPFJmRatGiVlTjgk/Vny0PPp85GVJl88k5Q5pmnJ6varWPrRx2mZ487KpFPDfz+RlHnz4H5Jmf01Pinzgz5dkzJdPn06KTO+Tsk882vQqumKpMwur9yZlFm65MqkTBYmTk3/npg3L/1dAtBq/MikzDf7HJiUaT/i3aTMzq3Tn8vjPkp/Th65bfqzBOBPL6bX6Q/9dkzKfDirZVJmyhd1MunkbL24YcTJ5xqgi5l1i8aCQcDewJeEG+9Dgdwvwplm1h1A0hDgYjObJKkncDehosvrwEHRmHIBoXzvLyTdS14IhaRHgFvN7HVJOwEvAHvFcToBvYFtgQ8k3WNmxX7drtI99nkyIcSkK8GgMErSa7H8bzG6x/aTJe1FqNhzqJktl3Q30FfSS8D1wP7AXEI53nKlaZH0H4SyCdQqNAAAIABJREFUwD3NbJGk3C/FASXWrBh3AA+Y2QOSfgTcDpwYj7UnhMWU+uV8JfCTaGhqTDCkXEMMk4o6/gIwM9tHUidC+eA9YvsDCYaxRYQ1fM7MRpcY60dmNktSgyj7RH6eE0n7Az8knJdtgLcpYRiJRpUBAK+9u3DzNDs7zgYii1HEcRzHcRzHKY0bRpxyjDSzqQDRu6ADqw0jA+P+xoSwmMekVU9a6sX/7YGBktoSPC8mlxjnKKBzXvsmsV+A58xsKbBU0tdAG2BqBt0PAx6NBoPpkl4llKodXGauOf36EIwfo6JODQgeDj2BoWb2TZz7QGCPIn0Vzu0+M1sEEA0H5dasGAcD34/bDxE8YXI8VsYoAsGgdYukh4EnzWxq3pg5DiOW4o2ePp/mzeulnHFD0pNRtpRh5HJJJ8XtHYHdCZ5COQ4HnsqthaRS58JxHMdxHMdxHGeD4YYRpxxL87ZXsub1kvOTrgXMyXlqFHAHcIuZDY4eKP1KjFOL4Fmyhp9rvIEvp0NNku/3LYKHxn8V6HMipVlBzNkjqRbBEFSKcmtWVcr6q5vZjZKeA44Dhkv6dhX7L/TWKOq9Ec/vUcDB0TNmKCGkxnEcx3Ecx3GcGqTS3KG6pvHkq04+8wkhK5kxs3nAZEmnAiiQCyxtCnwRt88pM86LhFwjxD6qYzAo7HMYcJqk2pJaEXJrpIM0A0OAUyS1jvo0l7QzIdfItyS1kFSHNcv8TiF4mQAcD+QCGV8CzpPUMNdXYs2K8QYhBAVCnpZ0UHJEUkczG29mNwGjCKFJxdaqb5Tfg5DP5YN47Og4/waE8J3hJYZqCsyORpFOwEFFZF4DTpTUQNK2wPeyzsNxHMdxHMdxHGd94YYRZxUxZGK4pAlA/yo07QucL2kc8C4hpwYED5HHJI0BZuTJPwOcJGmspMMJSU57SKqQ9B4hOWu1dZfUH3gKqCAkSH2ZkN9kWsa+3iMkjX1RUgXBuNE25ifpB7xJMBC8n9fsTwSjyThC6MvC2NfzhPCd0TEcKZfVq9SaFeMygnGlAjgL+GmWeUSuiGtSQUio+y/CuqyUNE7Szwj5TWpJGk8IkTo3hi9BMCY9Eds8USa/yPPANpLeJyR3HVEoYGZvx/7HRT3S2Ukdx3Ecx3Ecx3HWMx5K46yBmRUt42pml+Ztdyg4Nhk4tkibQYQEroX7PwT2Ldh9WhG5fgWvu5TWvKjuv4x/ZTGzocDQgn0DiXlUCvbfB9xXZP901vSSuDrv2I0EY0G+fNE1K6HfpxRJzGpm52Zoe1mJQ4X9lUr7PtXMyoUQ5cZZSqgAVOxYh7zt3wG/S/XnOI7jOI7jOE5xNteSuJsy7jHiOI7jOI7jOI7jOM5Wi3uMOJsVkloQcoAU0ie/NGyJtvsQqrrks9TMetaUfuuCpGtZM28JhKozSQ8LSeexdojNcDP7SXX1MbP7gfsLxqn2+juO4ziO4ziO42yKuGFkAyKpGXCGmd0dq3hcaWbfXQ/j9AKWmdkbNd13Ytx/ArlwljPM7O48fWpkrvHmu5ukDsCzqfCaAk6Nevy7lICk44HOMfyl2PFuwA5m9s8qjEvU9xAzeyS+7gGcbWaX52TWJcykVIhPTZCvu5nNlHQBBbo7juM4juM4jrNhMK9KU+N4KM2GpRlwSVUaSKpdjXF6AYdUo906YWbHmdkcqjHPDYGZ/bqcUSTKDC5lFIl0I5S+XQtJ5QyNHVhtNMLMRm9GhoUObL66O47jOI7jOI7jlEVubdpwSPo7ofrIB4QKIQsJ1Vq6AGOAM83MJE0hJP48GriZUL3jLqAVsAi40MwmSvoeoXpKXWAmodJJA0JFkJXAN4SKJhOBewllWAGuMLPhkvrFfbvG/7eZ2e0ldP8lIezkdkm3Al3N7EhJRwLnm1nfqHcP4M68eb4EPEeo5rLWXEuM9WtCKdcGhFK1/xnXZX/gr1HsReA/zKyLpHMJpWQbAbsDv49rchawFDjOzGZJup/gZfJ41PWBOE4d4NS4pucCPczs0lhO97q4lnOBo4CPol5fAP8L7AV0jGv4GfBfhHCdRlHPS83sDUkjouzkOO47hAo1xwOfAN2iUQlJk4DDgMpi563Emn0L+GN8aYTyxEZIfrtdnOOvzGxQ9AD5F/A6wYD2BXCCmS2WtFscs1Wc96nAw8V0N7PvSmoez8muhGvzIjOrKHVtSWoE/ANoD9QGboiJbgvncxFwEcD/+03//U/54dnFpr2KpZV1yx4HGP9Fs6TMrDmVSZk9d07LAEyZlrZptm2Z/vzt3CJdTKmuliZlHhrePikzZ/aSpAzAqUenbepD3k6fk977LUvKdNL7SZmbX+2clNm+Tf2kDMCRXWYnZRrVXpSUmbksfb0tW5l22uz59eNJGYB/Ne6blKlTO33tvj5meVLmhMNXJGWGjG2QlOm0S7ZnM59MTcvMm5fWu3nz9DVZO4NKjRspKXN4h8/THQF1Sb93h3/ZMSnTve1XSZmP5rRJymTJ5Vc3w3UEsKIyvZjdm6Tf319Z+rNr0JsNkzI77pA+/9/e9cOkDMCEebsmZabNTr+/62bw227bLH2NZOXdT9Nr0Hnn9HupdcO5SZmJ37RMyjRtkP4s6dgkfW0DvPThTkmZdi1XJmWmfpO+bvdsl/7ueqVUDb88mjatkxYCmjRO69S+VXotax20d1LmoHfSzse3v31AUubMQ79MygCMn7ljUmbZivRn7vH2ZFLmn9uclEmnU3rWSg+4CXD2//tqk76Jf/CGtpvFOubjoTQblmuALmbWLYaXDAL2Br4klH89lHCzCjDTzLoDSBoCXGxmkyT1JJRXPTLKHhSNBhcQStL+QtK9wAIz+31s/whwq5m9Lmkn4AXCjS5AJ6A3sC3wgaR7zKzYt+Iw4BfA7QTjRz1JdYDDgddKzTOO3wvYr8xcC7nTzH4T2z4EfJdQ4vc+gqHhtViSN58ucYz6BOPF1Wa2XzTinA3cVmScGWbWXdIlBCPFBQXHfw1828y+kNTMzJZFo02PXJWeaADoDBwWDQsNgaPNbImk3YFH43pdQ144UVwTzKxS0iDgJOC+eH4/NbPpifNWyJXAT6LBqzGQu8M9yczmSWoJjJA0OO7fHTjdzC6U9A/gZOBvBCPIjWb2lKT6BK+yorpHrgfeMbMTo5HsQYJXDRS5tgiVeL40s+/EvpoWm4yZDQAGAFRM+nqT/uB3nI1NFqOI4ziO4zhbDpVelabGccPIxmWkmU0FkDSWELKQMxYMjPsbE57qPyatMrzVi//bAwMltSV4SEwuMc5RQOe89k1ivwDPxVKrSyV9DbQBij2fGwPsL6kJwQvjbcIN/+FAlrCKcnMtpLekq4CGQHPgXUnDgGZmljPCPMSa5WFfMbP5wHxJcwmGFIDxrF0aOEfOvDwG+H6R48OB+6PhoJwperCZLY7bdYA7Yy6SlcAeZdrlGEgwwtwH/JDVZYKLnjczW1BC11skPQw8aWZTo+HqfyQdQfA+aUc4vwCTzWxs3B4DdJC0LdDOzJ4CMLMlAHnjF+MwglEFM3tZUot4jUDxa2s88AdJNxG8d4ZlWB/HcRzHcRzHcZz1hhtGNi75/pErWfN8LIz/awFzct4XBdwB3GJmg+NT/H4lxqlF8CxZw08+3vCW02EVZrZc0mTgXEJ4SwXBG2A3IO0Lm3Gc6KVwN8Er4/PokZHFBz6//8q815WlxsqTKaqPmV0cPTi+A4yJoTzFWJi3/TNgOtCVsO5ZYhPeBHaT1IoQEvTbuL/oeSuGmd0o6TlC/pPhkr4NHEQIidk/nr8prF7LwvOR9nuvOmudczP7UFL3qOdvJQ3JeQc5juM4juM4juNsDDz56oZlPiGsIDNmNg+YHPNdoEDXeLgpIT8EwDllxnmRkGuE2EcxI0sWhhFCNl6L2xcTwigKfbmqPM88cjfuM6JXyykAMf/GHEmHxePr3XdcUkcze8vMfk3I17Ij6bk1Bb4ys0pCjpNcoomS7eL6PQXcAryfV/Y283mLuo43s5sIOWk6RV2+jkaR3sDO5eYbPW6mSjox9lkvhgaVm/Mw4rmIxrkZ8ZotpecOwCIz+xvQH+heTifHcRzHcRzHcdbEKm2T/tscccPIBiTe8A6XNIFwU5iVvsD5ksYB7xISm0LwEHlM0hhCYtMczwAnSRorKRfq0kNShaT3CAaN6jAMaAu8aWbTCd4Qa4VC5M+zSC6QskQDyJ+ACYScGqPyDp8H3BVDcTZEQp/+ksbH8/UGMA54hRDeMlbSaUXa3A2cE89VJ1Z7k1QAKyWNk/SzIu0GAmeyOowGqnberojrXUFI7PsvQr6QHpLGE/KsTMww57OAy2M/bwDbJ3TvRwixqgBuZE0DXTH2AUbGc3gdq71jHMdxHMdxHMdxNgoeSrOBMbMzSuy/NG+7Q8GxyYSklYVtBhESuBbu/5C182qsdRNvZv0KXncprTmY2RBCDo3c6z0KjnfI2y6c59C8Y5dSBjP7FaHaTuH+MYQQlRxXxf33A/eX0GPVMTM7t4TMaEKJ40L5YnlHZgEl03Gb2STWXPur4/7lhIS5+Qwt0GENY4+ZzaDIeSsx7mVFdi8FDi7RZNW5ziXpjduTiuhJkX1Do/wsQvhPoT79Cl7nxptCMHg5juM4juM4juNsErhhxHEcx3Ecx3Ecx3E2E9bOZOCsK24YcdZAUgtgSJFDffJyX9TUWE8BuxTsvtrM3KOgBJLOA35asHu4mf2kmv01A84ws7vXZxvHcRzHcRzHcZxNFTeMOGsQjR/VTc5a1bFO2hDjbEmY2X2Esr41RTPgEkJulCSStqlqm7y2tc1sZZU1dBzHcRzHcRzHWY948lXH2bq5EegYk8n2j38TYtLZ0yBUm5E0TNJg4L0ibXpJejbXoaQ7JZ0bt6dIuknS28CpkjpKel7SmNhnpw0/ZcdxHMdxHMdxnNW4x4jjbN1cA3Qxs26STiZUvukKtARGSXotynWPcpMldci1gVVlessx08y6R9khwMVmNklST4LXSbFkr6to9+haeXjXovbxRXMar8G0poclZbapnf5IbFh3WVIG4DudPk3KfLygfVJm+uLtkjIzF9VLyvTuvjQp89LIukkZgO3rfZmU6b7XjkmZ1vVnJ2UWkJ5/z/3qJ2Vmzs32HOC96c2TMru0SK93p8qKpMy0+oWRhGszd4eyObEBOIRxDJ2VdvTr3GJaUubj7dslZbpPSjuLzdzjP5MyPRql1whg8heFucTXZrtmdZIyWfhq2pKkzF57NEjKLK1MXyMA7V66KynT/KAbkjKtlk1Nyrwxd4ekzBEdPkvKPDM+/d4GOH6fdF9N5n6VlPnH53snZepssyIps++OJSvJr6L1l2OTMgB7tU9/VzSp1yYps129BUmZHZZ8nJS5/6NSedbXZOe26ZwE29VflJRpt3xyUmb8ilZJmc7bfpKUmbSwQ1IGYNftlydl9m78UVLmg0/3TMpMm5t+f1dWpj9LlizJ5kQ7a1b6+3vn1ulrsuc7aYfjEfudl5TZ85V0kcP2bzyUlAF4uU36N97pLdIR9hWNjkrKHLV4aBaVSPws3WSwysqNrcIWh3uMOI6T4zDgUTNbGcsxv8rqCjwjY3Wk6jAQQFJj4BBCiemxwP8Ryj+vhaSLJI2WNPqB0e9Xc1jH2TrIYhRxHMdxHMdxSuMeI47jZGFhmWMrWNPIWvj4Pte2FjAn52lSDjMbAAwAmPmbizzttuM4juM4juM46w33GHGcrZv5wLZxexhwmqTakloBRwAjE20APgU6S6oXK9b0KTaQmc0DJks6FUCBrjU0D8dxHMdxHMfZKqistE36b3PEDSOOsxUTqxANlzQBOBioAMYBLwNXmdlaSQny20jqb2afA/8AJsT/75QZsi9wvqRxwLvACTU6IcdxHMdxHMdxnCrioTSOs5VjZoWZS39ZcHwoMLRcGzO7CriqSN8dCl5PBo6ttrKO4ziO4ziO4zg1jBtGHMdxHMdxHMdxHGczwWzzDFfZlPFQGsdxHMdxHMdxHMdxtlrcMOI4juM4juM4juM4zlaLG0YcZwMjacHG1qGqSJoiqWWR/cdLuibR9lxJd5Y4ttmtheM4juM4juNsTKzSNum/zRHPMeI4TrUxs8HA4I2th+M4juM4juM4TnVxw4izRSKpA/CsmXWJr68EGgOzgIuBFcB7ZvZDSY2AO4AuQB2gn5kNKtPvQ0CjuOtSM3tDUltgINCE8L76sZkNK6Pf74DvAouBE8xsuqT7o86PR5kFZtZYUi/gemAOsA+hJO544KdAA+BEM/tY0veAXwF1gZlA39hvP2AnYNf4/zYzu72EXo1i/+2B2sANZjYwHr4sjlEHONXMJko6F+hhZpdKagXcG8cAuMLMhhf0vwvwCOFcFF3jQj47/X+SMiJtmX5nZHqsQ/ddkpT56Kv66Y6APTssTsp8PrNeUmZlZXqslk1WJmVeeTv9cW+WYTBg6uLtkzLvTU47JH7asF1SZvsW6XP7rUHnJmXu2//+pAxA8yZpmbGfNk7KtNxjx6TM0A/bJmXmzW+dVohK2rSsnZQaPHaHpEyTxkrKPNnokqTMxAnLkzINu3dKygC0bZW+lt6ftDQp0+fA9LX06tz0Oi5Of0zwfMVaDnZF+c4xP03KNFyyIinzwswDkjLNGqff3w1XzkvKZH0S+MIHOyVleuzaLCkza3b6WqpbJ32NNNomfeIetx8kZQB+MPnBpMy0tt9Pynw6r0VSZtScNkmZRg2SImG8r9IydWtvmx6vWfukzAefLEvK7NQi/Tk59qM6SRmAgzstSsosrJX+gF+xIn19f/JZ+pps3rxuUmbx4vR3d9Ap/d4d91H6PfDWkvTnxJ6vTEzKNO2d/uz+fOJLSRmAif9KOw4v65U+by+MbpiW4fBMOl23XyYxZwvEQ2mcrY1rgP3MbF+CgQTgWuBlMzsQ6A30jwaCYnwNHG1m3YHTgJyB4QzgBTPrBnQFxpbRoREwwsy6Aq8BF2bQu2vUdy/gLGCPqO+fgcuizOvAQWa2H/B31iyf2wn4NnAgcJ2kUr80jgW+NLOu0aj0fN6xGXHe9wBXFmn7R+BWMzsAODnqVkzmHjPbByj5E03SRZJGSxr9xN/TP0AdZ2smi1HEcRzHcZwth40dKuOhNI6z+VMBPCzpaeDpuO8Y4PjoVQJQn+D18H6R9nWAOyV1A1YCe8T9o4C/RoPD02ZWzjCyDHg2bo8Bjs6g9ygz+wpA0sfAi3H/eIIxB4KXx8DovVIXmJzX/jkzWwoslfQ10AaYWmSc8cAfJN1E8F7J93p5Mk/nYo/CjgI6S6ueODeRVPho/VCC0QSC581NxSZrZgOAAQDvTJqxeX66Oo7jOI7jOI6zWeAeI86WygrWvL5z8Q/fAe4CugOjJG0DCDjZzLrFv53MrJhRBOBnwHSCB0cPggECM3sNOAL4Arhf0tlldFtuq4uPr2S1gXKVzpJq5fqO5PuJV+a9rsxrfwdwZ/TG+M+8ORe2zx9zDczsQ8LajAd+K+nXRfoo1b4WwWMlt47tzKyYj6QbOhzHcRzHcRzH2WRww4izpTIdaC2phaR6hHwetYAdzewV4GqgKSHXxQuE/BkCkFQuurAp8JWFZAxnEfJwIGlnYLqZ/YkQQtK9GjpPAfaP28cTvFOqQlOCYQbgnGqMj6QdgEVm9jegP1Wbx4usDushetUUMhz4YdzuWx0dHcdxHMdxHMdxahIPpXG2SMxsuaTfACMJxoKJBCPG3yQ1JXiJ3G5mcyTdANwGVERPjckEQ0ox7gaeiB4hzwML4/5ewC8lLQcWAOU8RkrxJ2CQpHEFfWelH/CYpNnAy8Au1dBhH0KOlUpgOfDjKrS9HLhLUgXhs+U1VudxyfFT4BFJV5Mx+arjOI7jOI7jOKupzJgw38mOG0acLZZYeaVo9ZUCucWE0JMsfU4C9s3bdXXc/wDwQMY+GudtPw48HrenAwcV6XsoMDSvTa+87VXHYiWdtYwNZtav4HWXMrq9QPCgKdzfIW97NMEQhJndD9wft2cQEtIWts2XmQwcnHf4V6V0cRzHcRzHcRzH2RB4KI3jOI7jOI7jOI7jOFst7jHiOEWQ9G3Wrpgy2cxOqkIfbwH1CnafZWbj11W/dUVSC2BIkUN9zGzmhtbHcRzHcRzHcZxsbK4lcTdl3DDiOEUoFVJSxT561pA6NU40fhRLjuo4juM4juM4jrNV4aE0zlaFpGaSLsl7vYOkx9fDOEMl9VjHPnpIuj1unyvpzrh9ca4ccNy/w7prXFaPTpLGSnpHUsf1OZbjOI7jOI7jOM6Gxj1GnK2NZsAlhOoymNmXwCkbVaMSxCSno4vsvzfv5bnABODLrP1K2sbMVlRBlROBx83stxn7F6BY0nid6fhMetiFX3ydlDn9kv9NynyzrHl6rMWF0VHF2aZyeVLmqB3fT8osrdUwKbPd4vTpr9PlgKQM1GbKtNpJqQNnPZaUad61V1Jmh6UfJ2VmNNgxKTP9/P5JmeP4hq8WbpeU26lx+lqidVpkuz9fm5Q55oIbkjLNlk5PDwZ8XTe9Tu2bvZuUeav2EUmZvf7v9KRMu588lJQ5YMbgpAzAteNLFQlbzc47NUrKHDLz70mZye3Tc9u55dKkTLc645IyANsMvC8p0/b4dGXzg6a9lZQZs3c6x3jdB36flDkbePKI+5NyndotTsrs9H+FhcvW5qCz0tfS+I+UlNlt2F1pGWDKEel1WrQoXfSt29x/J2XmNt81KdN0zD+SMqMP+e+kDMAudT9NyrScNiEpM/uh9POkjicOTMr0nJZ+T7bu2icpA1CHZUmZVk/dlpRpsHtapnnT9PdkFmbMyia3V8cGSZkjt01/BsxukH6O1v6N9Pvt84kvJWUAJnU6OilT546xSZlFd6a/47uen/5d8q26rydlomRGuY2Lh9LUPO4x4gAgqYOkCXmvr5TUT9Llkt6TVCHp7/FYI0l/lTQyehGcUKbf2pJ+L2lC7OOyuL9PbDs+9lUv7p8i6XpJb8djnSTVivub5fU7SVIbSa0kPSFpVPw7NB7vF/sdKukTSZfHpjcCHaMHRP/8eUuqL+m+OO47knrH/edKelLS83Hcm/P0uEfSaEnvSrq+Cuu9II7/rqR/SzowT9fjo0wvSc8Wadsvnp9TgB7Aw3E+DST9Oq7DBEkDopEi58Fym6TRwLWSJkuqE481yX9dMNZxwBXAjyW9Evf9PPY/QdIVcV8HSR9IepBgqNlR0rHxPI6TNCTKZbp2JF0U13X0fW9u9JQsWw1ZjCKbK1mMIpsrWYwijlNTZDGKbK5kMYo4jpMmi1HEcTY13DDipLgG2M/M9gVyj3auBV42swOB3kB/SaUe110EdAC6xT4ellSfUL71NDPbh+C59OO8NjPMrDtwD3Bl9DwYBJwEIKkn8Gksb/tH4FYzOwA4GfhzXj+d4P+zd97hdlRVH35/aQQICdKL9Cq9hF4ERFA6UhRBDSrFQpEPEEUBAaV3pElvGkGUIgqIJEDogRAITemCgKGGECBlfX+sPblz5p5z9txLJDdmvc8zz70zs86ePXtm9sxeexW2BNYGjkwD/8OAZ81sNTM7pFLXHwCW6rQbcFmqK3g8jq8CKwNflVSMRA43s8F4Ct/PS1qFesyOt+GKwDjgWOCL6RyPrlNASvX7ELB7Op8JwNlmtlZKyTsrUJ5q7Wdmg83sF3iK363T9q8B15lZJxMHM7sZOA9v400lrQnsCayDpxbeS9LqSXwZ4Jx0Th8AvwF2MrNVgV2STK17x8wuSHUdvOd6K9dpjiAIgiAIgiAIgm4RipEgx2hcmbEHULhfbAEcJmkUPsDuDyza4vebA+cXrhtm9hawHJ7h5ZkkcxlQtt++Lv0diStVAIbiignwgXxho7k5cHaqyw3AQEkD0r4/m9lHZjYWeAOYP3OuGwJXpno+BbwILJv23W5m75rZh8ATwGJp+66SHgYeAVYEVsgco+Bj4K/p/8eA4Ukx8VjpnLvDppLul/QYsFmqU0HZrvVCXMFB+pu353Y2BP5oZuPN7H38Wm2U9r1oZvel/9cF7jSz52HqdYeu3TtBEARBEARBEFQwsx69zIhEjJGgYBKNirLCUmJrXGmxLe6CsTIg3BLg6f9SXQoH7sl03KP3AktLmhePeVEEnugFrJsUFlNJHiRlR/ByWZ+kTlPLkrQEcDCwlpm9LelSOtotx0Tr6DWmFOWb2RRJ3apnsm45BxhsZi9LOqpSn/HFP2Y2Irm/bAL0NrO8U3Ge8XmR//q9EwRBEARBEARB0CXCYiQoeB2YT9LcKd7HNvj9sYiZ3QH8GBgEDMDT2O5Xil+xeosyAW4D9ikG+5LmAp4GFpe0dJL5BjC8XeWSEuGPwKnAkyndLMCtwH6FnKRcCtpxwBwt9t0F7J7KWRa3ZGg3gB+IKwPelTQ/8OXMsf8blM+nUIKMTVYzuaCylwNXU99aBLyNdpA0W3KB2TFtq3IfsHFSHhXXHbp27wRBEARBEARBEPzXCYuRAAAzmyjpaOAB4BXgKaA3cKWkQfhM/5lm9o6kY4DTgdGSegHP0xjLosyFuDvKaEkTgd+Y2dmS9gSuSQqTB/E4FjmGJtkhpW37A7+WNBq/n++kIxZKs/N8U9KIFHD1L0A5TP05wLnJDWUSMMTMPkpj+GZlPSrpEbytXgZG1DiHac2lwHmSJgDr4XE9Hgdew9uqHVfhlje/rXswM3s4WcY8kDZdaGaPSFq8IvcfSXsD16V75A08hkpX7p0gCIIgCIIgCCpMmTJNkj8GJUIxEkzFzM4EzqwhNwGoFbo9xRY5KC3l7bcDnawFzGzx0v8PAZtU1lWRH0tH7JHy9qMq6yuV/v96RXyltP1DOuJulH97Ka6AKNa3Kf0/pCqftm/SbHtp/4DS/9W6Dkh/h+FxOBrqUJY3sz8Afyj9/GdpqVOfDfE0vO9k6lqt36m45U552wtMvEtHAAAgAElEQVSkdixt+wuufCpvq33vBEEQBEEQBEEQfBqEYiQIZkIknYW7/mw1vesSBEEQBEEQBEEwPQnFSDBNkLQlcEJl8/NmtuP0qE9PQdL9wCyVzd8ws8emR30KzGy/6jZJvwY2qGw+w8y6EoMkCIIgCIIgCIJghiIUI8G04nXgp2Z2c3d+LOlA4AIz+yCt3wx8Pefm8UmQ9Fs8ne0lZnZaF353IXCqmT3RRuYFPDvMOt2o1w7AM+3K/29gZj/4JL+XtB2wgpkdP42qFARBEARBEARBBZsyY6bE7cmEYiSYVqwGDAa6pRgBDgSuBD4AMLP/qouHpAXwNLtLZ4UrmNl3/wtVKrMDcBNQSzEiqU+K5dItPunvC8zsBuCGT1pOEARBEARBEATBp4k8C2ows5Cyh9xUBCOVdDCegvctPJvLJOAJM/taSsd6Fh5Usy9wlJld36TMfsA/gVnxjDbH4dlGzsBTyE4A9jSzpyX1xl1uvgRMwbOoCDgZT4071sw2LVlcjJX0TeBgwIDRZvYNSbsARwKTgXfNbOMW59sfOBdX2kwCDjKzO1IWm2XSMfczs7sqv1seuNzM1i61241mtrKkYcDBZvaQpN2An6Zz+LOZ/TjJl+u/B549px9wP/B9M5ss6f3URtukNtoeWApXiryblp3M7Nkm5zUMGIUHUP0tnnr3PDzFMMCBZjZC0lGpzKWBeYATzew3kjbBM8S8DSxvZss2q2cq66LUfgZcbGanSdqfzvfLkHTOP0ztdXE65n/w6/9SymjzXipvAeBQM7u2yfntDewNsMXXz1pz1Y2+UxVp4IMPPm67H+DN197Nyqy85sJ5maXr9Zk33fZeVmbC+I+yMqfv8s+szI+uXSYrs/xK82Zl3n+/nn7syVEvZ2UWXHSerMz3d5iQlfn70wtkZV548YOszL+eG5uVAejdp3dW5vRvvpaVOeDS+bIyCy+Rb6OPPqp3Tfr1y9d7xeVnz8oMH5Y/tz5988f6sMYzucKq+WsLsNtaL2Rlho5cPCszbly+Lef6TN+szNNPvZ2VOX67dpneO7jiufWyMh9MyGceuPnKu7Myex/8+azMn298MStzwr75fgtgvtfzHqPfvTFvVHnWHi9lZc4etVZWZtZZ8/ftD+ft9DpqyrH/2D4rM/LOJ7Myg+aZMyvz6jP5a7L+1mtnZQCeGPl8VmaPPT+XlRk+Iv8+rcOT9+fb6Kzjl6xV1vEX5Z/v9995Pyvz5R2Wy8qMeTL/fp80Mf/cLrXUwKwMwHs1+q57b80/b987oFPOg078551eWZmnnsm3Y98a71KAz++3WlbmoUsez8q8/GKNb7xV5q5VpwO2bZGOsoexzV5P9OhB/E2/WWGGaMcyYTESFBwGLJHS0xZv6sOBv5vZt9O2ByT9zczGl39oZh9LOoI0KAaQNBDYyMwmSdoc+BWwEz7YXRxYLe2by8zeknQQsGnKMjMVSSviWVbWT0qGudKuI4AtzeyVUn2b8QOvoq2clB23SloW2A5XEDXtkc3sKUn9JC1hZs/jmW+GVuq2EK7kWRNXMNwqaQcz+1NJ5nPptxuklMjnALvjiozZgfvM7HBJJwJ7mdmxkm5Idct9ofUzs8HpOFcDp5nZ3ZIWBW4Biq+bVYB10/EekfTntH0NYCUze75NPccAC5cUaUVbN7tfypwFXGZml0n6Np7taIe0b0FcobM8bmHS6TzN7ALgAoBDz5vQozv+IJje1FGKBEEQBEHwv4NZpOud1uTVgsHMwmjgqmQ1UKimtwAOkzQKTxvbnw6LhByDgGskPQ6chsfyANgcOL9w3TCztzLlbAZcUyhMSvIjgEsl7QW0GxVsiLvoYGZPAS8Cy9Y8h9/TkQq4k2IEWAsYZmb/SedzFVC1XPkCrjh5MLXjF4Bi+uNj3DoEYCSuMOoK5fpsDpydjnEDMFBSkRL4ejObkNrwDqCYWnogKX3a1fM5YElJZ0n6Em7tAc3vlzLrAVen/6/Ar0PBn8xsSoqhMn8XzzkIgiAIgiAIgmCaEhYjMx+TaFSI9U9/t8YH9dsCh0taGXcP2cnM6tkEN3IMcIeZ7ZjcKoZ1t8LNMLN9Ja2D13ukpDXN7M1peQxc8XCNpOv8kPaPbpQh3HLiJ032TbQOX7bJdP15LFvu9ALWNbMPGw7u1oBVi4tivfz7lvWUtCqwJe46syvwbZrfL3Up22HPcGZ2QRAEQRAEQRD8bxEWIzMfrwPzSZpb0ix4fItewCJmdgfwY9zaYwDujrGf0uhaUjvnxHHAHKX1QXi8EYAhpe23AftI6pPKLFxjqr8v+Duwi6S5y/KSljKz+83sCDyGxSIt6nUX7hJCcqFZFI8rkiXF9pgM/JzO1iIADwCflzRPip2yGzC8InM7sLOk+Yr6S1osc+hWbdGOW4GpKXgllV2EtpfUP7XhJsCDTX7ftJ6S5gF6mdkfcJemNSS1ul/K3AN8Lf2/O34dgiAIgiAIgiD4hNgU69HLjEgoRmYyzGwicDQ+qL8NeAp3RblS0mPAI8CZKU3uMXjQ1dGSxqT1VtwBrCBplKSvAicCx0l6hEZLiAuBl1KZjwJfT9svAP4q6Y5KfccAvwSGJ/lT066TJD2WXHXuAR5tUa9zgF7p3IYCQ8ysXuQ4ZyiwB+5W04CZ/RuPtXFHOv7IanDa5C7yMzz+yGi8zRfMHPN3wCGSHpG0VM167g8MljRa0hO4dUfB6FTH+4BjzOzVJufSqp4LA8OSe82VwE9ofb+U2Q/YM5X1DeCAmucRBEEQBEEQBEHwqRKuNDMhZnYmHgwzJzcB2KdmmW/hMTfKlGN5/CzJTQIOSkv592fhATuL9cVL/18GXFaR/0rNen0I7Nlk+wt4tp3c70/GM+aUt21S+v+3eFaY6u8WL/0/lCYWJ2Y2oPT/taQgpGY2AlghU69NKutj6YiHUmW0mX2zIj+MintTq3riQVqrbFjdYGaXApem/1/E48NUZYZU1quWJkEQBEEQBEEQBJ8qoRgJgiAIgiAIgiAIghmEGdVdpScTipGgS0jaEk9RW+Z5M9txetSn4JPUS9KvgQ0qm88ws0umVf26yyetm5kdNc0rFQRBEARBEARB8D9EKEaCLmFmt+BBWXsUn6ReZvaDaVwdYGoA1IXM7Oa0vh2wgpkdPy3rJun9rrqkSBoMfNPM9m8jMwQYbGY/7ErZQRAEQRAEQRAEMxKhGAmC/x6rAYOBmwHM7Abghulao4SZPQQ8NL3rEQRBEARBEARB15hiU6Z3Ff7nkFn4JwXdR9LiwE1mtlJaPxhP3foWnhllEvCEmX1N0ux4gNWV8Gw3R1WzuJTKHULJWkHSTcDJZjZM0vvAGXiq4QnA9mb2uqT5gfOAJVMx3zOzeyQdBHw7bbvQzE5P9f4LcDewPp5aeHtgMeByM1u7dH43mtnKktbEs+IMAMbiGW7+LWkYcD+wKTAn8J20/k9g1lT2cen/wWb2w1TuxcA8eLrhPc3sJUmXAu/hCpUFgEPN7FpJA4Drgc+ktvtZ0XbtLEYk/Q64wsz+nNYvBW5K9T/YzLZJKZAvTu32AbC3mY0uXwNJ86a2XTQVfaCZjZB0VNq2ZPp7egrui6RvAgcDhgeA/UarcprUe29gb4Cz/u+7a3572y80O72pTB49su1+gNvXzRvqzNF/YlbmgSf7ZmUAdlvj2azMM+MXz8rM0mdSVuaDj/N1mjCxd1bm6RfqvQ++vfKorIxqvFve6PfZrMy/3p8rK7PybPkM3He8no21DMD6Cz2Xlek/aXxWZq4xd2RlRq0wpE6VarHsxMeyMu/OtkBWZthLS2dldht7Slbm5sV+lJXZ6tWzszIAp3yYN+obOEc+yd5edl5W5oR3vpuVWWbx/JzSqgu8lpUBWOqpP2Vlnllup6zM/JNezsqMGLd6VmazO1oaEU7lipXOysoALDhPvg/YYsRBWZmb1z0tKzN4/heyMv1POzQrM/aAc7IyAMu/9JeszDsLr5yVebNP/plcaPwzWZkr/7VxVgZgi+X/lZWZ7/18H9jnzpuyMhcscmJWZtcVn8zK3P/W8lkZgLlnyyccXHdUvu86UT/Oysw5KN8HzPuZrAhPP5d/vwP065fv37Zd882szBP/mTcrs9Ust2ZlPp5lYFbmg7NPysoAXLJhs5j/jQzeM//+fv76p7IyWy2Xv7cBllxqKdUSnM5s+a1RPXoQf8tlq32idkzjk6HA4sALwK5m9nZFZjXgXGAgMBn4ZUomUYx5Pg+8m8SHmFnbD9hI1xv8tzgMWN3MVqEjdezhwN+T0mFTPOXu7N0oe3bgPjNbFbgT2CttPxMYnravAYxJyow9gXWAdYG9JBVfh8sAvzazFYF3gJ3M7Cmgn6QlksxXgaGS+uJKnZ3NbE1ckfDLUp36pPM6EDjSzD4GjgCGmtlqxUNa4izgstQ+V9GYJWhBPOvLNkAxmv8Q2NHM1sDb7hRJdTqcocCuAJL6AV8A/lyR+QXwSKrLT4HLm5RzBnCama0F7ISnXS5YHtgSWBs4UlJfSSvimYg2S9fjgBrlTMXMLjCzwWY2OKcUCYKZnTpKkSAIgiAIghmIw4DbzWwZ4Pa0XuUDPDTAisCXgNMlzVnaf0gah62WU4pAuNIE/z1GA1dJ+hNQTIltAWyXrEoA+uOWA/kpg0Y+xq0eAEYCX0z/bwZ8E8DMJgPvStoQ+KOZjQeQdB2wEe7S8nzpIRmJayQBfo8rRI5Pf78KLIdbutyW9BG9gX+X6nRdk3LasR5QpBy+AihPrfzJzKYATyQrGAABv5K0MTAFWBiYH8hNS/4FOEPSLHiHcaeZTajoVDbElRSY2d8lzS2pOh2wObBC6XcDkxULwJ/N7CPgI0lvpHptBlyT0ggX6ZxblmNm72fOIwiCIAiCIAgCZoqsNNsDm6T/LwOGAQ0mXWb2TOn/V9M4ZF58wrvLhGIk+KRMotHyqH/6uzWwMbAtcLiklfHB/U5mlrd7b10uwETr8AGbTPfv47Ld5WTc1QXcyuKapEQxM/tHqv8YM1svU9YnqU+zehUahN3xB31NM5so6QUa26QpZvZhcvXZElfw/K6bdeoFrGtmH5Y3JgVHtR3bnX/TcoIgCIIgCIIgCBLzm1kxCf0aPvHaEklrA/2Asi/7LyUdQbI4SRO5LQlXmuCT8jowX7IymAV3/+gFLGJmd+CavUF4XI5bgP0KF5CSS0szXgBWk9RL0iK4m0aO24HvpbJ7SxoE3AXsIGm25LazY9rWEjN7Fh/g/xxXkgA8Dcwrab1UfuEu0o5xwBwt9t0DfC39v3uuTngbvpGUIpvisVDqMhR3J9oI+GuT/XelOiBpE2Csmb1XkbkV2K9YST597fg7sIukuZN8ESiiq+UEQRAEQRAEQTADIWlvSQ+Vlr2byPxN0uNNlu3LcmlCvKWJjKQFcQv8PZPVPcBPcHf/tYC5qFibNCMsRoJPRBqoHw08gAcZfQp3M7kyKSYEnGlm70g6BjgdGC2pF/A8rkhpxoi0/wnc1ebhGtU5ALhA0ndwxcb3zOzeFHzngSRzoZk9koKftmMocBKwRDrPjyXtDJyZzqtPOpcxbcq4AzhM0ig8+GqZ/YBLJB1CCr6aqc9VwI2SHsOzyeSjTHVwK95ZXJ9in1Q5CrhY0mjcV+9bTWT2B36dZPrgsV32bSIHgJmNkfRLYLikycAjwJCulhMEQRAEQRAEwYyFmV0AXJCR2bzVPkmvS1owJbpYEHijhdxAPH7i4WZ2X6nswtrkI0mX4Akh2hKKkeATk7KQnFlDbgKwT80yjWTF0GTfgNL/1wLXpv9fx/3RqvKn4tlkyttewGOGFOsnV/afDFS3jcLdg6rlb1L6fywpxkiKq7FWRfzStO9FPA5HtawhlfUBpXKbuvG0ykhT2j8R15SWtw3DffWKeu7Q5HeXluo7FnfFqcocVVkvt+lluE9geX/TcoIgCIIgCIIgqIdN+Z9P13sDPll7fPrbKZNpSizxRzyj6LWVfYVSRfg45/HcAcOVJgiCIAiCIAiCIAiCnsLxwBcl/QNP3nA8gKTBkoqslrvik9ZDJI1KS+Gmf1WytH8MmAc4NnfAsBgJpiuStgROqGx+3sx2nB71mVFJwWGvqGz+yMzWmR71KUgps75uZudMz3oEQRAEQRAEQTBjYGZvAl9osv0h4Lvp/yuBK1v8vpNlfo5QjATTFTO7BQ/KGnwCzOwxoCcGMp0T+D4QipEgCIIgCIIgmAbMBOl6P3XClSYIgi4h6XhJPyitHyXpYEmHSHpQ0mhJv0i7jweWSqZtJ8k5KUWcfkxSxBsJgiAIgiAIgmC6Io9xGQRBUI+UZvl0M/t8Wn8Cd4faAA+uKzxg0onAS8BNRVBWSTvhWWi+hPv7PQisU4ocXRxjb2BvgEOOPHPN7Xb9dts6Dew7PlvvG0fOnZX518vjsjLf2a5en/ncW4OyMot+Jn+858YOzJcz1wdZmVsf7JuV+fjjeoG8Flukf1bmldeaJUBqZLkl+2Vlth9wW1bm9Cc3zcr0719vHmDfxfPHu+GDLbIyS87zflZm7PjZsjKbjjg0KwNwwWInZ2UGzKaszKuvTczKDF4xX86Afvly/vX2rFkZgMeemJCVmfMz+XtJ+Woz/oPJWZkVl8k/S7P0rddPjP8wf18+//KkrMxu676SlRn1n0WyMhM+ytfnxVfz9QF45+2PsjI/2vz5rMwF9y6blendO39x+/TJn9sqy9S7buMm9M7KvPt+vk7zz5Xvcz+elC/n9TezIgDMPWde5s138jIrLZ6/tk/9K/+eWGuJd7My9zyTfwdCved7lcU/zMr89d58Oft84dWszGUjFs0XVJNJk/L3yeor5vulrSb9MSszeu6WSUKmcstD+XfXqsvVe+fedOvbWZnVVs9/vy2x/fJZmYcuycbeBODIPfrWuJumP5vv9lCPHsT/7beDZ4h2LBOuNEEQdImU7ng+SQsB8wJvAysDW+BpeQEGAMvgipEyGwK/NbPJwOuShuOZe26oHGNqiq+7nxjfozv+IJje1FGKBEEQBEHwv4PZ/3xWmk+dUIwEQdAdrgF2BhYAhgKLAceZ2fllIUmLf+o1C4IgCIIgCIIg6AIRYyQIgu4wFPgarhy5Bg+g+21JAwAkLSxpPmAcMEfpd3cBX5XUW9K8eIqtBz7VmgdBEARBEARBEJQIi5EgCLqMmY2RNAfwSooP8m9JnwPulTv6vg/sYWbPShoh6XHgL8ChwHrAo4ABh5rZa9PnLIIgCIIgCIJgxmNKZKWZ5oRiJAiCbmFmK1fWzwDOaCL39cqmQ9ISBEEQBEEQBEEw3QlXmiAIgiAIgiAIgiAIZlrCYiQIgiAIgiAIgiAIZhBsSmSlmdaExUgQBEEQBEEQBEEQBDMtoRgJgmmEpIUkXZuR2UTSTRmZ1SRtNW1r999F0kmSxqS/+0r65vSuUxAEQRAEQRAEQR3ClSYIphFm9iqevvaTshowGLh5GpT1abE3MJeZTW4lIKmPmU36FOsUBEEQBEEQBEGQRWaR6icIuoqk44GXzezXaf0oPEXtEDNbSVJ/4FxcwTEJOMjM7pC0CXCwmW0jaW08i0t/YAKwJ/A88E9gVuAV4DjgJuAsYCWgL3CUmV3fol69gROALwFTgN+Y2VmS1gROBQYAY1M9/y1pL1yp0S8d9xtm9oGkXYAjgcnAu2a2cSr7eGATYBbg12Z2vqQbgK2Bx1J9Pwe8b2YnSxoGjAI2BH4LXA6cByyaqnygmY1o19Zvjb4r20n99b0NcyJ8PElZmbFv5f01//3ahKwMwEILzZaV6dM7X87Eifk+evwHLfVRU6njivrZhfrmhYCF55qYlXnjvXxZs/fPV+r9CXnDxn+9lte39VL++gOMHZu/vmusMiArM6B//po8/mz+2s46Sz3Dzv798+e39XLPZmUuv3exrMwBK96Vlfnt65tlZRacO99GAPeNyt9vCy80S1bmgwk1nqXx+Xtp8uR8OZ9bpl9WBmDnDy/Lytw21x5ZmTq398oD89f/0XeWzsqMfKKeX/uqy+c7uNn65dt73If5Obwnn83XaY3PZUXo17veuU2anG/wux/Jl9W/f76Ndl03n9H+4tvmzsoALLBg/6zMXIPy5zb/oPwzOeLR/HMy12fy74kNl3svKwPwt0fz/fKC8+Xb+x/PfZSVmaVGv1znndurpt1+nffSYovmz3/xhfPH2rzfsKzMGWM2ysrsv/I9+YMBl7+0cVZm2xWey8pcce+iWZnBe65Uq05bT3y63gfDdObzX7mnRw/ih1+3/gzRjmXClSYIusdQYNfS+q7A/aX1HwCWUtruBlyWlCVlngI2MrPVgSOAX5nZx+n/oWa2mpkNBQ4H/m5mawObAidJmr1FvfYGFgdWM7NVgKsk9cUVKzub2ZrAxcAvk/x1ZraWma0KPAl8J20/Atgybd8ubfsOriRZC1gL2EvSEma2HTChVN8q/cxssJmdgiuCTktl7ARc2OwkJO0t6SFJD1127Q0tTjUIAqinFAmCIAiCIAhaE640QdANzOwRSfNJWgiYF3gbeLkksiGujMDMnpL0IrBspZhBuMJkGcBwa5BmbAFsJ+ngtN4ft7h4sons5sB5hcuKmb0laSXc2uQ2+bRib+DfSX4lSccCc+LWJLek7SOASyX9HriuVI9VJBXuQoOAZXArl3aUlSWbAyuoY3pzoKQBZvZ++QdmdgFwAdSzGAmCIAiCIAiCIOguoRgJgu5zDR5TZAEaB/91OQa4w8x2lLQ4MKyFnICdzOzpbhyj+P0YM1uvyb5LgR3M7FFJQ3A3GcxsX0nr4C4yI5MrjoD9zOyWJuW0Y3zp/17Aumb2YRfLCIIgCIIgCIIAMIt0vdOacKUJgu4zFPgarhy5prLvLmB3AEnL4hYeVcXGIDyOCMCQ0vZxwByl9VuA/ZTMLCSt3qZOtwH7SOqTZOdKx51X0nppW19JKyb5OYB/J3eb3YtCJC1lZveb2RHAf4BFUj2+l2SRtGwbl55W3ArsVzrOal38fRAEQRAEQRAEwTQlFCNB0E3MbAyuWHjFzP5d2X0O0EvSY7gCZYiZVSN6nQgcJ+kRGq237sDdTUZJ+ipuWdIXGC1pTFpvxYXAS0n2UeDrKW7JzsAJadsoYP0k/3M8NsoIPOZJwUmSHpP0OHAP8Ggq+wng4bT9fLpudbY/MFjSaElPAPt28fdBEARBEARBEATTlHClCYJPQAquWvz/Ah7Lg+QqsmcT+WEklxkzu5fGuCM/S9vfwoObltmnZn0mAQelpbx9FNAp9LeZnYtnz6lu/0qz4oGfpqUqP6D0/1Gl/zepyI0Fvtr+LIIgCIIgCIIgaIVNiRB805qwGAmCIAiCIAiCIAiCYKYlLEaCYAZE0pbACZXNz5vZjtOjPkEQBEEQBEEQBDMqoRgJghmQlBmmq9lhgiAIgiAIgiCYwbEpkZVmWhOuNEEQBEEQBEEQBEEQzLSEYiQIgiAIZmA+/DACsAVBEARBEHwizCyWWGKJpccuwN7TQmZaltXTZHpineLc/nfPrSfWKc4tzq2n1WlmP7eeWKc4tzi3unKxzJzLdK9ALLHEEku7BXhoWshMy7J6mkxPrFOc2//uufXEOsW5xbn1tDrN7OfWE+sU5xbnVlculplzCVeaIAiCIAiCIAiCIAhmWkIxEgRBEARBEARBEATBTEsoRoIg6OlcMI1kpmVZPU3m0z5enNu0kfm0jzez1zvOrefVKc6tHj2tTv/L9Y5z63l1+rTPLZhJkZlN7zoEQRAEQRAEQRAEQRBMF8JiJAiCIAiCIAiCIAiCmZZQjARBEARBEARBEARBMNMSipEgCIIgCIIgCIIgCGZaQjESBMEMi6TFJG2e/p9V0hzTu04FknpJGvgpHGe2aVxe03pL2qDOtmlYj/0kfaaG3KySlmuzf5rUu259apa1VGZ/b0k/+jTrVCrzU7lvP20kDZQ0V7H0gPrsUmfb9OCT3APT8HnrLenkGnJqsm2WyvrcNco5ILetWm6bbdPs2vakd1xPvGfrXpOaZbV9l0xPZrR+eVq3ZbvvHEnzS9omLfN1p4wgKAjFSBAEPY70ortI0l/S+gqSvlOR2Qu4Fjg/bfos8KcmZc0i6euSfirpiGLpqkyS6y1pIUmLFktl/9VpADY78DjwhKRDKjIHJBmlc3xY0hYVmQ0k3SbpGUnPSXpe0nMVmfUlPQE8ldZXlXROkzrPJunnkn6T1peRtE1X6w2cVS27uk3SGk2WpST1Kclkr21ifuBBSb+X9KUWA6BtgVHAX9P6apJu6Ea9D2qyfEfSal2sT7atExdLelbS7yT9QNLK5Z1mNhnYrcnvqtSp08h0jJYKlJr37S7FoEzSzyRdJ2mNJmVl5Wo+A89KukrSvpJWbFHvOsfaR9JrwGhgZFoealLWvOn5v0DSxcXSjXpvkNoRSXtIOlXSYk2q/5PcNknHSPpiUV6LNsgeT9KVkvaStHybcurcA0spDTolbSJpf0lzVorKPm/p923bMj0DG7aqb4mLKuUOAG6uyNwn6RpJWzV7RhLfarJtSGX93iYyzbbVubZ1rlv2HZfabw+l95X8vbR2V2XS9tzzlD2v9NuvSPqHpHclvSdpnKT3ulHvU1o9+yWy10SZ93aSyb5LJJ2Y7tm+km6X9B9Je1Rk6vaTdZ7tls+kmr+zpi5drZOkZdM5PZ7WV5H0s9L+celaNl260ZbZeyTJtf3OkbQr8ACwC7ArcL+knbtSRhA0YGaxxBJLLD1qAf6Cv+QeTet9gMcqMqOAfsAjpW2PNSnrr8BQ4FDg/4qlGzL7AWOBMcBjaRldrVP6uztwCtC3iUxxTlsC1wErAg9XZJ4CvgzMB8xdLBWZ+4FFKuf/eJPzL87r8bQ+W1HPOvUG1kvt8TJwUGk5qjiXUjn3AR/jA8+RwEfAw8CzwBZ1r22pPKV2+h3wT+BXwFKl/SOBQc3ugf24NGcAACAASURBVC7W+2rgmXTupwBPA9cADwKHdqE+2bYuyfYDNgAOB14C3qrsPw04G9gIWKNYutFGSwO/TPt+l2TVjfu2uB82BIYBWwP3N6lPVo56z8AswMapfW5O99Afu3GsfwDz1Ohz7gFOwO/NnYqlG/Uena7JqsAjwA+A4aX9X8YVBa8DZ5aWS4EHKmXtCVwMPIl//J8CbN+V4yWZTYEjgNuA54A/AAd04x4YhT+vS+PPy0nAzV193rrQlucCNwDfAL5SLBWZo4Fz0v+fSddxzybPyBeB39LxjCyb9u0G3Ai8nY5VLHcAtyeZBYA103VYnY7ncRPgqW5e2zrXLfuOS230a+DJUhs82FWZds9TV84r/f6fwOcyz1uden8XGJHqsC8wqLSv7jXJvreTXMt3SZNnZEdcITeIzu+Suv1knWe73Xv5yLRcjfdxxbvrGeDKbvSTw4G1yX9PHAN8H5gDGAh8Dzi6G22ZvUeSXNvvHOBRYL7S+rxNrkmtb6VYYjEzps7iBUEQ9CDmMbPfS/oJgJlNkjS5IvORmX1cTADKrRKa5R//rJl9KXO8OjIHAMuZ2ZttZPpK6gvsAJxtZhMlVetUzFhuBVxhZmOazGK+a2Z/ydQHM3u58tNqG4EPkr8qabf0mw+aHK9dvfsBA/ABUdmM+z1g58ZieBX4jpmNAbcGwQcuh+KDn1upd22L8zP5bP9rwCT84/laSbeZ2aHARDN7t3I63an3Z3Glw/up3kcCf8YH5iOBE2vWp05bI2lDXOGxETAncBNwV0WssFY5unJum3Wljczsn8Dhkn4ObIN/jE+WdAlwhpm9Rb37trhGWwMXmNmfJR1bPbeacnWegcnAxPR3CvBGWrp6rGeBD5rUs8psZvbjjEydek9K12R7vC0vUqNF1Ku44nA7/N4qGAc0uE+Z2SXAJZIWwBU2BwN703g/546Hmd0h6U5gLVxJsi+uiDijJFbnHpiSntcdgbPM7CxJj6R9XXneoF5b9gfepPGeN7wvKc7tiDSTfx4+UD7ezP5QOX/DlUK3SdoUuBL4vqRHgdPxAeU86W/BOFx5Aa68GYL3E6dWZH5aWq99balx3aj3jlvHzNYoroOZvS2pXzdkoPXz1JXzAnjdzJ5ssr1LdTKzC4EL5S4ZewKjJY0AfgMsSr1rUue9De3fJQXFmGlr4Jom8lCzn6z5bLd8Js3sFwDpuV7DzMal9aPwd1dX6zSbmT1QOZ9J1XoD25nZqqX1c9NzVLawrdOWde4R/2H775xeZlZ+L7xJE2+Imt9KQRCKkSAIeiTj5X7hPt0nrQu8W5EZLumnwKySvojPYtzYpKx7JK1sZo+1OV4dmZeb1KHK+cAL+CzGnXLT6Kp56EhJtwJLAD9JJq5TKjJ3SDoJHwB8VGw0s4fL9ZG0PmDp4+kAfPapyseSZqWjLZcql5mrt5kNx9v6UjN7MZXRCxhgZtVzW7ZQiqTfPiFpeTN7rvRRUufaFv7938Rn+y4EDkkfhr3wGbJDgTGSvg70lrQMsD8+Y1yu9wQzO7FS9i6pjIL5Km0yEZjfzCZI+qgL9anT1uCzdiOB4/AZ94+rAma2aZPfdaeNkLQKPrDYCrcWuAqfPfw7roCpc9++Iul8fOb9BLlLRTN33DpydZ6B9/DZ3VOB37QY2NQ51k/w5/t+Gp+l/StyN0naysyqbhhdrfe4pPTbA9g4XYu+peM+Cjwq6Wozm9jmWEi6EFgBn6m/C1cwPFwRa3u8VM7twOy4i8FdwFqVwQTUuwcmJqXft4Bt07a+6bw69RMZsm1pZnu2+rGkr5RW7wd+js+8m6SvmNl1Jdm58fb5Bt6W++FWIavhA9wlcIuXppjZZcBlknaqKl0qcp2urdyFbREze7sinr1u1HvHTZTUm44+Z14635N1ZKDF81Q6rz8C483dnEhlNovn8ZCkobjbT/mZu64kU6tOSWb5tIzF78+DUj02zV0T6r23oc27pMRNkp4CJgDfS3X+sCJTq5+s+WzXeSbnx600Cz5O27pap7HpfVVcj52Bf1frjb+/d8etDw23uBpfkanTlnXuEch/5/xV0i24NRjAV3Gr1K6UEQRTkSvSgyAIeg5y/9ezgJVw39p5gZ3NbHRJphfwHWALfPbxFuBCq3Rqct/SpYHn8Rew8EnEVboocxGwHD4bU36Rl2ermp1LHzObVFrvhX+QP2dm76SP9oUr53ZHk6LMzDYrycyDz/hunup7K7B/sgAoH38L3B1hhSSzAW5q3uwY7ep9NT7TPBl3MRmIWxycVJIZCryFfzSBf6TMgw9I7jaztepc21TWL4CLmw2yJH3OzJ6UB1M7HL8HSOd3jJl9WJJ92Myq/tQN2+TWFDsC16dN2+IDp1PwGbbda9bni8DPaGzrIWY2rCI/Z9q3MT6LPwW418x+XpKZHzf5X8jMviy3vlnPzC4qydSp00jgHdz0+w9m9lFJ5joz+0r1t2lf9frPBnwJN4n+h6QFgZXN7NbK77JyNZ+B7XHlzdr4x/49wJ1mdnsXj/UAcDeuZJk68EqD3XK9x+HKg49xxVgSs4ElmTr1XgD4Ou4WcJc8nsEmZnZ55Xgb4G4mi+GTVEWfs2RJ5o/AQsATuKn7nWZWjTWUPZ6k03Brio9w14Q78fttAm1ocg+sgPcB95rZbyUtAexqZidIupHmFntFQ25XKbtOWy6Lu1zMb2YryRV825nZsXKLpzaHs2+XynkGuAK4xMz+VanHRzRXXhbXo3z958RnxjdOm4bjbgQNA29Jw3Drij64AvQN4B4z+1FJps51y77j0iD1q7gbyWX4APtnZnZNV2SSXNvnSdJ9wObWYVk3ALjVzNavlNPs2lSvSbM6/dzMfl+SOQ23cvs7cJGZPVDa9wZwfJPjFAc7NcnVem83eZfcAhxbfpckublwi87J6TcDzey1Sjl1+snss92MJs/k4bjFyR/Tph2AoWZ2XFfqJGlJ4AJgfdyt7Hlg9+q7RdLi+HfHBvjzPgI40MxeqByvbVvWuUeSXLPvnAPKinK5krSIR3SXmf2xq2UEQUEoRoIg6JHIzYaXw19kT7ebXU0fK5+tDq7TvsWa/ab8wq8pc2QLmV+UZOoMZoX7DC9pZkenD+IFyh99dZC0gZmNyG1L2+cG1sXb8j4zG1vZPwseU2FxSpaEZnZ0SWaUma2WPmjXAA4DRlaUR7Pis5rFR8oI4Bx8Vm220gd1y2urTMaQsuJH0hJm9nzlXNYyswclfRm3kNgVj/1RMBBYwcyqgf7Wwj8KAUaY2UOV/VeY2TdqbGvb1iW5zwGfx91p1gdeMrPPl/b/BbgEONzMVk1t9oiZrdzFNlqyyWC6od3qXP8k1xufjSzLvFSRaVa3ceaWLJ2CEFbqXZ0xRR4w9MvAgbgv+ayluowxs5YBRZPcI2a2ejuZriBpYTqUGUW97+xGOU/hbggjKZl1N/tYT/fKlkm+t5l9tus1B7lVxhDcbH8BM5ultK9TsOlUn6ObbW9S9ufb7Te3KCnLZ/tBScOBQ4Dzi2so6XEzW6lOnZJ8b+BEM/u/ur9pU9YfcGVuoVT7BrBqVblY3HOSvotbixwpaXS5r6x5vNmBD61ioWFmH1Tklge+gPc5t1sTF4U6MqVjNH3Gi3dARb7Tti6cX9s6SdoT+L2ZVS0SkPQrmiu0ijoXribZ93YX67w+nfvJqtIz20+WZFs+213ol9fA3yPgCpZHqJC5rr3wyYnfp3uulyXXnJ6OpBOs4gJZ3pbOe38zO226VDCY4QjFSBAEPQ41mkkXvIvPeLyRZIaRmZUrlbcqHR8Od5mbBndZJskNACgG+ZV9LQezJZlz8Znrzczsc3JT61vNbK2SzCA8sFrLmUnVsIRI2243sy+02ybpr3j7Vgdpp5RkxuAzvFfj/s7DJT1qjf7GWST9ALjKzN5J658BdjOzc9L683TMPFcduM0aZ9QfBrY1s1fS+sbAr5PyYNVU36Np9H8eB9xhFdP23MdstW2T/GNmtkJp247A34vrJJ9h3sTMqpkknsMD7N6Nz94/YBV3GkkPmlvYTB3Yl5RTXWqjJvfESDNbs7Re5/rvh9+Tr9NheWHVwZ6kF/BAd2+nus2Jxz95PZXd6bkplVW2iPoDHpjy2dRGd+MBA8uzjtcD+7UadCSZX+Hm6DfSOGP8VhPZ7eh45oaZ2U2V/Sfgs9xP0NFOZiVriNR3nYC7ZyktZiXLgyR3v5mt06reSWYbvE/aGG/H+/C+6eKSTPZ4kn6YylkztcVdqZy/l2TKioP++Ez9k9Y4y1++76ZSvt/qUrMfbPkMlGQuw2d/y/3JKZV632tmLV1lkkynTCXp3Mp9QC3FgKTH8Nnyy/B3wYNVxUjN65a10JC7Io6xjhgTA/Gglvd3RSZtb/uMy+N77FcoMCWtib8L1quU81ncKrBI03wXfo3+VZLJKprrvLvqImm2qkKpsv82YJfKffQ7M9uyXD9gKTwobvn5378kU7efrPNst+yXJQ00s/fUQklujcrxbJ0kPWRmg9u0z1m0twgrt0GdtszeI0mu7fPd4v1WfdYeLPcrQdCOiDESBEFP5Du4z3fh7rEJ/nGwhKSjzewKPEL9e2lW7nJLs3LVguRxGPaiI2DflZIuMLOzuiizEm6OPVdaHwt800oxNagXWLROILyL8ZnJXdP6N3CFy1ckrYdbGMyrxrR8A4Hepfr2x7OizJM+JlSSW7hyvDrBZ7P+zursHkA6x/LAaS8z+3Vp39vytJTnpPUlMvUosw/wJ3l6wDXwmB1bpXKm+vvj575s+k0n66PKh+PkJG/AKulaFn7+xfkKd7m4oFKfI61kxmvuInAkndNIL21mzXz8y7SMxVKnjeSzsSsCg9SoaByID3zLTKvgw+BBLq81s1tSPbbAzeQvxl2vsrFTEsfhSsV2QfI+g/uzP0DJz90a3TaKtMfltKIGNAzmJR2PuzVdlTYdILfAKv9uB7wNWs5U44F6t7V8YME6cYS+hA8YzjCzVz/B8frjsVpGWskMv0xZCQYg6WTcBL5MeeDUH0+R2TAw64LypE4/WCfuwSrFoKlUTtVCaJQ8Xeg1NN4n5XgG5YCV/YEl8OxU5XSxEyRtaGZ3p/psgMebqHI03nZ3J6XIkjTGNIKa181KCngze1/uplDmXLzvK3i/ybY6MpB/xg8ErpH0Kt4HLoArCqtcgivQd0nre6RtXyzJNKThTYrmNdP/td9dcpeMZvdbMXBeD3cjHAAsKleY72Nm36/8ZJ4m99F8FZnBuLVhuxnluv1knWe7Xb98Na68HEnj+RfvrvLzVqdOf5N0MG5dWX5GCgVLpxTnbajTlnXuEWjxfEv6Hm6dumTlu28O3FK1zN2Szm5ybp0sFIMgFCNBEPRE+uAzWq8DyF1ULgfWwWePrwD6yH1ld8X9WVvxHfwjfHwq6wQ8COFZXZS5ADjIUmwOSZvg0fHL/tV1AovWCTq3lJntVFr/haRR6f+62R/2wT9kF8I/nlSSO7tyvGzwWTMrUjQWvCjP8FDmIpq4B1ToLUnFx2Vqi6kDInXB3SINOvbHfYY/xGdX/1P5yfr4vfMC3gaLSPqWNbo/tPxwNLPj0v1woVX8n5vQLBhps/dsP3kGihUpKSkq5f8fHudkqTRTOy/p+tZso+XwD+c56QiUCW4xs1flJ9Mq+DDAumY2tXwzu1XSyWa2t9w0nHQOK+GxWMrnf3np/4ckrSR3R2sqgwfcbEsXFG1bAasVCqs0U/kIjQqV5/AAme0UI3WzLRTWImVlQ0PWITP7YVJArgC8KndV62ONZu7Z45nZyQCS5kuDzmJ7S0sbfGDa4LLT5Pk4XR7DpmyRlVWeJOr0gz/A+93lJb1CintQkekl6TOWLMDSDHr1mauT3Wbl8g/SM1YdPH8PD8I6CO9L3sJdkxowj91xTWn9Odwlokyd+2S8pDWs0UKjqoiZ2pemY02RWyp2VQYyz3jqb5fH+xZo7eI6r3nWlYJLJR2YzqGqaC7eS2VFc1feXWWrrv54rKiyouF03FXlhnQOj8otC6tMkbSodbiXLEZnhcvjuDKoWVDSglr9pJn9MCdDm37ZzLZJf+v0b3XqVCi4flA+DEnBYp1jMrWzwKnTli3vkQqtnu+r8SCrx+FuvQXjrLM1YK0Mb0EAoRgJgqBnskihFEm8kba9Jan4EKszKwf+UVUepBcWAV2Vmd1KAUvNbJjcH7fMQbQYzJY4Ew+UNp+kX6b9P6vItJyZtJrZH8zsDOAMSftZyfKlBRsCQ9Jsb6vgs039nWn82KiTZvgWYKg8Sj74R/BfS/tP6fyTqRiwmToHepwN//C7SFLVYuBUYAszezqdx7J4BPs1SzK5AcEUeQySHA9JOhUoLGJ+QGN6y4IrcFeaLfH2251KlHwzGymP29AsFku2jczsekk3AT82s19l6p29/rhSYJikXPDhf0v6MY0BeF9Pg+BC6XAkbgW2AnAzHkPkblyBRV0Zc3euxYBlzOxvaTZ9qtVUKuebzU64omApmBMf7AIMarL/A9z64HZaZ7iplW3B6mUd2gtP4TkXbsL/WeA8PC5D7ePJLapOxQeab+AWXU9SmrWXu38Uz1RvvO86plKfskKuF64EafiOrKk8gRr9YFIobK72cQ9OAe6VdA1+3+4M/LJSTsvsNq0ws4clrVPZNgpYVe6KgnXOygVMVfLsRefYEGXFZ537pI6FxnNJOXxuWv8+/qx2VQYyz3h6vg4CFjOzvSQtI2k5q7icAW9K2oOOTCG74YopzIOCHifpOGu0xpqKmZ2RZvh/ambHNJMpyTZkpJH0W7yfKMvUSdV6OG5ZMBxv643wZ6/MPMATcgu1cvuU3ze1+sk0aXIW8Dl8YqA3nmmn7HJXp18u3EuWoVGBXFb8Z+tUV4GsehY4ddqy5T1Soenzbe6u+i6wm6QN8XfAJZLmUSWGVp2+NggKQjESBEFPZFga1BWzbjulbbPjGTbqzsqBm2feL48CD24Of1E3ZJ6TZy+5Iq3vQeXjMn1MtxrMFjJXpYFCEXRuhyYzh3VmJj+Qm+JXrQ4aZkHM7Kzc7Dw+6MxxPR3+zq1mzOu4BxyKfyR9L63fhqeaLWTrfMScXEOmoG+hFEnlPyNP2Vemzsfsw0qBXdscaz/ciqEI9nobjTNwBUub2S6Stjezy+TuPneVBSTdjceWuQsPBjv1Pqr7oWeeOWEHPCBwO+pc/5fS0o+ShU8Tvo67JRXuQyPStt50uIbtjMcPecTM9pRbhF1ZKScr00RxsDCdFQdlhVb/tO9hSgqWxHHAI/KMUMJ9/w+ryNyQlnYMxBUoW5S2NVgnpLpnAzXj987aeDpazDNKVE3S6xzvWDwg8N/Mg4JuivdfZbYp/T8Jt2iout2cUpF5no5rWpxXVnmSziXbD0p6lhR7IS1jmpRzuaSH8NlfA75iZk9UyqkT86LsltgLdzN5Ne3bw8yurMhQDLabKAevT8f4G60t57LXraaFxr64kuln6fe303kQWkcG8s/4JXj/X8QUeQV/B1cVI9/G2/u0dLx78HThHSdq9pN2A/rUd32FinKuBsvgcVsKsqla5RdyDH7N102bD7TOgbOPqnH8uv3k2cDX8PYbjKddX7Yik+2X5a7EB+BK01F4/e+l0RoiW6cuKJDbWuB0oS2z90hx/NRPFO+8huc7KdAH48/IJen8rgQ2aPXclspum1EwmDmJ4KtBEPQ40st1Jzo+ZEfgqUbLaQrb+hZXyluDxnRuzaK2t5VJH3G/KMncCfzCSkE8Je0C/NXMxkn6Gf5xcGxFMVCUtQiNs4nNMnK0nJmUdCs+AD8Y//D9FvAf6xyhvenMu5lVLVlIg66mpvaqkQ1CmTTDyWrgcjOrmsO3Ki+n0KlTxsW4pUIxqN4dj/5fDs5YJ+PQU3hK5xdxP+Wms3c16/SAma0t6U589vY1PABrOWjqEvhM20b4B+ZH+H35o0pZbdtInvKyLxn/ak2D4MN1KZ1/8cE7Dg/0uXwXZUaRFAfWEZzzMau4RVSOPSceCLCT777cNa9QpDxgpTScJZl+tIlXUxfVC9R8v5mto44sJ32Ah7t6zykFVpT0KLC6uQVUQ+Bk1QuGWSfDUbkPmIS7sJ1cVk4muTpBQ2fBXY42wt8FywGjzWzHSlmr4ooso8m9Kw8GeTWNSu3dzeyLJZlyH1DU+w9m9qGkfczs/Dr9RCqr25laqqhGFpRpTatnvHQflYPhdjkAd/pd0wG9NQZgPhkf5F9XfvdXyhmHX/citsZrwE8sWZKoflr7tv1GN86vbT9ZasupgULVJINWrl+WW3qthWdAWy0p0n5lTdKwt6uTPLhqwVQFcvU7odonpW3VvmRat2XbTEnA6qmuRX1Gm9kqkvY2swvqPrdBAGExEgRBDyR9BF2blla09S1WY9T2F9JS7JvL3C0nK1Oq09vA/mlfb9y1pqqw+LmZXSM37fwCbtlwLh3xBJB0DG798Swdip3CRaQrM5Nzm9lFkg6wDveaZtYMdWbet8Nng1ua2lMvDklbS4Y0C7iYpH5WycJSpZVCB7hc0t1mtmHpo3jqz/wwDebI38Nn3gt3h7tIgV5L9arzgbRlTkDupnMwnQcyVV/mC5Jy7Of4zNsAKq4GZva8pA9x3/uPceXA5yrHy7qbUMO/WtMu+HDdNngoKSh+g89Av48PgOiizEdm9nHxfCTFQW62Zzww1Wxc0vJm9pQ6LB0KK4KFJC1UViDJ4wpdRpt4NaqZbYF6gZqHSyriMXwRV6LdWBaoebx30qDoTuAqSW9QUpIlqsEw+9DobgbeH1fj21xblsv1ASXqBASdDExMf6fgfdMblXoW9+4f8GvS6d6lRjyDdn1AUor0Bt6zemk/b5K0lZnd3EqgznVTiywoNLqcZd126sgkudwz/rE8zk0RF2YpShZ2kg41sxPVIoOJNbqcHUDHgH7TYkBf+ck+uOvOZEkTaNK/m9kctGe5qiJe7ppaDdCZtQhUDfeXuv0kbvHZD3fNOxGPW9IQo6pOv4ync/5QEpJmSX3ZcpVysnUys/0qv5mTDnfIMlkLHNq0ZRfvEdQmMHoS+djMTFJxT5bdm5dKf58wtzAOgiyhGAmCoMdR5wPE8r7FdaK2147sLnd32Bd/OT8IDJR0hpmdVPpd8fG6NfAbM/uzpGMrp7crHly1mWKgeKk3+9irfkQUM9X/lrQ1rhRqFuRwQpohniSflX0Dt1Ypcwx5U/uW/s6tFDpTK96o0HkOGCHPEjG+hQy0UeiY2Ybpb+6jGPw9d4Z1+Mn3BmZJ/59uZgeqc8ySok7blf5/UY2+zPPiCo0y1+CuHBfS2oQeMytch4ZTyY5SIHcjGIvfoxfhaTKrwSmzSq+aA9VpFXwYarSBdfijnydPSTnQzKZmFpBrOo4zz0bQVCZRR3FQvra9cCVS+SP5INytoFnclmqAvlPIx6upm22hTqDmw/Br8xg+SLyZkttZF463PR6c+Ee4xdQgkqJMNbIuqWsZjkj9UdXF7+iqWNkKwJoHBH0vnfupeH/aLAZBnXs3G88gPc+HNqn3ZunvZEm74ab/OQ4AfirpI7yfbqawrXPd6mRBqeO2U0cG8s/4kXg8qEUkXYUrdYaUfl8MkOtkMMkO6Gv274UFZqsYG2fRWZnXbNs6wO6S2lkE1nF/qdtPfgP/rvkh/lwuQmdX4Dr39r+SEuNPwG2S3satGrtTpzINCuQS++IWOAvjrlS30tldtF1bduUegXxGnd/L45XNKXet/DZ+bgBbSToMD6AdipGgFqEYCYKgJ1LnA6RKg2+x1YjaXkemxArJumR3PBr6YbhCpawYeSW9pL8InCA3Ba9mKnkcD/L4RmU7ZlYEJP2bmTXMaKVZrjLHymOQ/B/+oTQQ/8CqUmfmfaKZvSmpl6ReZnaHpNMrMu38ndspdKo8m5ZeGfm2Cp2k4BhjJdeKFtyOm1EX5sOz4h9z69NhWp+NWaLOvsx9Sb7MJbFJZnZuk58XZTRVHBVUlENn4sqo3XBT4eGS7jSzZ0syWaWX6sWymFbBhyHTBqlOnbJCSNrYOuILmKSbgZXT+gstiqqjOChf20nAi+VZeTMrYi182cw+rNSpOuivE6+mbraFloGaJd1uZl/AlUM/puNDvxl1rCHK1iGXVfZlg2HShQxHks7DgyFvil+LnYEHmpRZJyDobvgz8H3gu5LuAe40s9vLhyR/7zaLZzCkInMV7m62DSXXxIrMCNVI+1lzQF/nPqmTBWU2q7hPdlMGMs+4md0m6WFciS7cwmVsaX+hlPygOkMvdzMtkx3QJwXp7sASZnaMpEWABc3sgZJMU5ccSYdTI619iaxFYDrHf0rqbZ5G/BJ5uunyc1Orn7SOwOkTcBfdZmTvbetwKztK7sY2iFIw86Q0ytaphgK5+O1YOmeGqtKyLYt7xEpZbiT1AgZY82DGuYw6hk+IvYd/Ix5hZrelfX8F3gYGqCMD0lS3q4qiMgiAUIwEQdBDyX2AqLMbxWtAp4+/pFAYZWbj06zhGsDp1hg/oxiI0GZb3zQI2gE428wmKplvltgV+BLuU/+OPGbBIRWZIsjj47SObJ+d5bKOTADv0hGYrBO52flES1N7JXcjfBDU6hjnp79Zl5RCRu3T/UFGoZNmcJ9WKS1gC/pbyafazN6XZ1fAzEamv8PlZs3L4/fU09bZomdHki9z+s2rkqoDoBslfR/PtlG+toVLVq0Z0PSbIqvQADwo3VH4x3/5o76O0utSUiyLtP4MPrArK0bKwYeFWxh0OfhwItcG0PhM9MfjhIyk0Toja9qelEKX4cFJi+tWfSa3qg4KJZ3QZKB4D52fueq2hyRdSGO8murMZ61sC9Y+UPOCcnP17ST9js6DofJAvOXxmvSRBc1cEloGwzSz64HrJa1nZtX7q8r65lZko83sF5JOwRXJVbIBQUvHXR5XzB6IW3XMWhKrEzj7s5X+tXgvvFzaIsKw3gAAIABJREFUVMc1sa1bmjq7ZTVQ97qVqJMFJeu2U1MGWjzjTc6rUNQsmpQVb1ljhrRmM/QN23ID+sQ5uAvVZrhV4/t4xq9yQOVWLjl109oX9XlR+ThLWfcXMv2kGrM/dcIaLVTq3Nvl3w5vsvn2XJ0SbRXI6oILTJ22VD0LXMgHRh+AKz7fwt9ro0syhwCHSLrezLav1jkImhHBV4Mg6HHIg1Jujs84voZ/gAyx7gV5G427G6yCDxIvBHY1s8+nGeHZgDvwWA3FAGQgHkS1HOhxf1zx8ijuKrMocKWZbVSSWbRZHSpKmDHA+fgs95SSzHB5Krz18QFA2WR7ILCjNQY4q+U3nmQXxuOGlOXKcRFmx03tixm6QcBV5lYkN5nZNnIXmmK2pVRMQ8DQJXEz23WT7L3Aj6wUsFGldH9m1irdX7X+i9NEoZPuk9XxGenyDO52JZkRuBvKw2l9TVyxtV5JZmvc/ePZdH5LpDr9pSRTBAN92MzWSG12rzWmNJ4ahLJVG9VB7t4wDz5bPgBvx7vwD8znkozwAd/LmTZ60MzWUmOwvE7BIdURfNjw4Ly54MN3AUdZKfhwd9sgDa5ON7OdStuywW5rXreHzaxhoKrGgIcL4GbhV+LZc8p9wHmVPmAW3Gy83AbnmFk5zsJiuBJzPTqsE/avKu/kFk9b0/n5PVXSzrglzIZ0VryYNQaorHW8dqRruxP5YJj9U72q7ibleBZFcMb7gK/gg/0xZrZ05dz3t0y8Dkl/wPvuZ+nITHO/dbbsyQXObnYPNGyTdJ+ZrSvpFlxh8ypwrZktRU0k3ZEG522DUCfZ7HVLirNmBQ0vyYzDLfZauu3UkUlyTZ9x4AQz27vFeQHMjb8Xrwa2wicIhpb2D8QtLtdWY1yvZuc2VYFa6mvbBfos+rdRuNvJR5LGmNmKaf9i1iatfamcajyPHYFqnKXFcKu8vrh15iD8+f9nSaZtP5nKaEm1rrl7u8Z5PYIrltr23WqiLC5vk7Stmd0o6Vst6l22AKnTlqPMg8XujiufDwNGWudUxHUDHq+Cp7LeCfiXmW1e2b8YHWndZwX6WPP038FMTihGgiDocaSX2Ov4rE/xAfJrK7kRSNoR+Lt5PnvkM+ebmNmfKmUVH1dHAK+YzwoW2w7AlRALUQrcis8q/cbMzs7Us4+VUlqWZoOEDxyWwGeCVyzJPGhma3UqjKkfwpvgMynnlXaNA240s3+UZO/BP3D+n70zj/9sLP//85oxdjPWFmFsUYiyZC1blKWphJJ9KSmMr1SyJxEiIjuDQYUhWzSSfTeLGURkq2RJYbKVcf3+eN3n877f9/ss93t8+v6mr3M9Hufx+Zxzrvd97nOf+9znvq/l9ZpAFG7rvdgrR6MJw0ORnnviQR0MCYuhn9Hxgn4ZGSVi8Nm7kcfuymiyO8B4Y314XTMXDqshELln0HN5H/AlD9EiQedhYPNigmsCFbwmWRTvh7zpG6Gon12Ai7wbCG9QxBSufiSaCD9Xo9eI/m9mN6HJ4vWhz6+BFjrrJnorIw/f24geuIclKeiNAN4ezEllMPI86O7LRcdKFxDxwqHuuZnZHigFY0m0sC5kHnR/24Xf7IjSKlal2wgxDTjX3btodgdLTKlCb9BrIC0iqgyBOafYHP+JukxEi71adgszuwR4GBmQDkdG1N+7++hI52C04N8QjQUOnOXuByfXvMfdP95Qr1URfk4PLkbVwroQF7h2P4bmzdF4uiid1MTvu3sTPXNcpx4DzLtFTCxp30ZRNYfTDSY9DbjR3f9h5Yb2OL0hNrTfjZ7fvWHsWggY7xFziymaYmf0jDdAqRPD3H3TcL4WOyYqZwpKMSwiJXsM3/9bYkqL/A0ynPaIJ4w6DWVl9ckmA3I/ktOWJgfRR5Ex7WSXY6iS4cgaIkyDgXsrNOeYJ7nWAK27uy9lZh9ERu8Ny0tr5d0srWGklVZamenEFM58Yt0xK/d6l9Hd3YxCdHdGlI7PA/d7Ny3mXjkLXMsDFYz1Vwa+4e67RceOR567K+kODY0X/I1errL7r9B7BFjRI692dK4fdpfCG1YFclc6kSrx8NXS/ZlQ96u8k+7dXtdaL1d0bBhKWYASitXUWBUWpfekBiwTwOfGYXe8d3KZi/M7lNQZ759iuKBnHYX6LMDN3snhL/TOQ5PKOiaFldFCbwWEWbAQsKV3g50egiaVBbPH54FL3P2ISGc14Bw6YekvA7sUBiYz28Ddf2fd4JwDEhsYrDscewiaID/p7tvlLHijciqfWzDgzIeMWPtHRUwrW1iY2RdTo2J07mJ339oqwuBdqSP9si00LjrqDF/9Xq/hOpMQNkyl573QC/2yoMMchox3a1SUOxtKZevBCLAMGulQ/h5E7wBa0PzbyiPYomJ8yX4MzYMhyZhWSqPdz3OzDBDyoFc7LjfpWCYItSkFcV9gsTBGfxABY8YMcZjZsHSMnRExRRN8CYEbn4sM6gd5BcNIeN4jULTnv8KxXFr7qcBqHqKRTNFR97r7RzLf/2wg74z7vhpFsc1L+Xc5KwLRhBP2SQSSWlqnyIC8FPBYdLrLgByV2cg6VteWkU5jBG7Qq40wNaVtbo2+a5cAF7v7Q0kZfdO6t/LulRZjpJVWWpkZZUeUkhHLTsmxNLcXyse0LyEP567u/qwp3SXNYz3LBNBWpBLciibgAyHblg8qOCAuHIHVk8OF4SZeTKTsF2eZ2VYuVo5iUvsLd49BzbLzxtECpMcw4n2wu1gFyB2iGS4Ws9eaUOB/Ee7pSwgQM5Zauj8PYJiex6ayEb24MpvEx8xsAppY/dx70z6KRfx9Jg/+xaHeW6G851SmInwDD/+nEhtSZkde84l00+fmiJvZUWgyd2E4trcJ4+GASK+RScHrsSwK2RZYKZrI/gg945hR6Wxk5Ls16KyDcuCLa60L/I5ucM6BatAJq4buyIy30LMpwIYLhihDk+V/hP/nBZ6GLqaE0udWPNdgjNkm1Pc96JnMbWZze5Jq4u7jagyfRUTE5iX3Vki/bAvXmtnG7j6+RqcOZ6Xf69WJk8duUfSbl8LC/1kiwGsAE8jmda6Iom8DK5vZD7w3BaCRRhoBsw6jQ6+9fTi2m2cAZnsHK+TcDEPzMai/v44M6SuiNMAL6n6XXjKUdSjVNNr9PLdGEPK6cbkPnVwQ6jHo/SzYTP4S6nZ1ord4GL9Sw1AcDdKI6+XuF4bxuzj2eXf/ffKbpVDqRMGUtjj6ThcYUbm09nV4HjnvfzaQd5O4Imom5vTxBhmLxuW6Ol2EMICyDMjkMa81YqO4+09RylohT5nY8FI5AYG5Xhl+d791g3cvCuzj7pMr6gIzRuveyrtV3L3d2q3d2m2m2NAi5iq0GLoy2m4Cbkh0z0E0jkuF7XgU+p6WORcwNPy/DDAKhdrGOhejD/f6YTsTecxjnSnJ37mRtzTW2Tfa9kOTjt/MQDtMajqGvJ5vo4l8AY76SsnvxiFP0OloIvJT4KeJzhoo/LTYnwd5jWOdqWiSOznsfwi4LPz/BDLAPFGyPZ6UsyBa7D+HWB8uQJPXtN7fBOaN9udDC3OQF3kq8BoCWyu2J5DXKS5naeCHoQ1+gSZZRbTkmLotKWc3tDA/FzF7PIkiJuqe47xokdj38w/3MyQ6NrToe9GxkWVb0mazh/54WegL+yAvflzOjUlbz4vS1Jr65MTBfP+Tss9EwKnF/ibA6YlO3fM7J+h8FngUGY6eQO/MgyXXOw0tXP+EaEmnAmcnOkeX/O7oZH+rEp2yY18Idap8f1HaylsoFWhKqFPaB7Ku19DWE5P9dSkfJ3cLfeqT6H1/Hnlvy8bJddC4vRny1M5IH7g/89gWaPw/Di2ei+MnhL9X0f09uRKl8sVlFOPaF9C3YETZtRrqOyn8nYoM9/eH/feiVLa+nhtwX9ym8TWi/cpxuR+dcHx03bGoPpOiY2XP4zZkzJiCxqTDgMPDudkRrfz9oS/NH7bFgYdLyloZ2BvYC1i55Pxk5BBZGgFLHwv8Ojp/V/hbpKZ8DPhjdH6JkmvtDXys5FpLEI2dyEi+eD9t2Edfmkgy5wnHy45VtlFo26bnOrSs7SvqNaHmXD9tORqlqxl63yYiKvRU7+6cPtdQ52MQJfnDyJlyOfDDfp9Ju707tv/vFWi3dmu3diu2MIlaD3mz1o22lRFYVqw7F/Aj5Hm7F2EyzFVS5gTkQfoAWsxegoBFY52HSn73ULJffKDvQpgkswGPJTqHRtuByBM/ezi3Xfi7b9lWUufFknaZoUUoir7p2RKdSQRjQdgfkl4PhcKCJqKzhf97FpiD2BcmlxwrFh4j0ET653QbBeavKW8IWuz9BRk4vl+nX/L7R4gMOAhw8JGG3wxr0qn43QFoUTF/dGx+kkVxRjkTyTP6/Sq0y7nIqPBnZEgZMKIhz93p6P1cF3nxj0fv5spV/Tru34SFfdWW1Glqyf30HMtog/vDsyr6zvokBo9wPMfw2fMOltS7TKfs2BMoKsFq6j6ybJuR6zW00SRgbMnxscn+EiU6S6Rlhb9HAV+JjyV6I0L/uS9sxwEjSvrvUtH+kum9hX44HqVK7oyiPX4Wzq0S/q5btiXlPBD+ngV8pug7fbbjyeHvPeHvBDqLv4fTe2t6boglbFZksDsG4W3dn+g0jss5OjV1ihekdyBjwMSwv1Rxr8lvJoS/U0uOjQ59/026Dej3A3sm5RyCxozD0Hh9P0ql6akzik7aq6TOm4e+tgIyAE8ARpXUq8fgUHJf9wGzRvuzFm2b24aZ/Wh2NCY2Go+iNvp+UxvV1Qm4gmjOUaJf1OEwlHrz/ujY/DPQloXR8NPoW7N8RT0vRRFKBQ7Sfih6tp/2HILAYC8J5X2VmnG33d7dW5tK00orrcw04gp3fsrMPgW87qLjXAZ5uKYmuq/SHfpZJebur5nZrghB/hgzS2n4JprZGu5+F0BIf0lDna8OoebHoo+0o0l0XKcCOHG4drsAKucKf3MoWw8EbjPhoxgCxfxaKLsfSkg8QouvEXN3j37zdgg3jaUx1N5qmDYinUVQ3vza4dCtyHv1Z7plqJkN1CuUPWso72XgZTM7CHjWhYewHrCimZ3vIQUpuuaKaNG0KYqauBB5tH8HfNTMlkDetrTecV74i3RTFk8joddM8suHImyAi2mQkCf9IjDO3d9y9yMDhsIkE9aKIS99Tn/vKhpYwSNQU+BGM3so0bs8bIXcVFJWgRNzaHL8Y+iey6giUylC0b8Z/sb0kZ7oPhOeb0yNGwMkF/nupwLvdfcVwnMe5RE2CvBvF7vSEDMb4u43htz7VF4Pf18zs4XR83h/uM4AkKsJWLCQeYDbg84mqH99wMziEPHhKOojlT+hxXh637FUnsu5nuXjtWwI/DYpfyjCdohlHL2Uxpcmen8xs9ORZ/ZoE85IWdrjOQjzZuuwvz0yysUYNd9G/fVx1JdHovc4lg2AD0fjxHnAg+H+JoT7+Jq7b1tSh1iuNoH5vg7sYQLtfKPuB2b2OTT+3B2ut2c4VUmj3Wc/2R613Z7IKLIo3e0DeSlQtTpmtg1KN13CzGKw2XkQDWqB33MaMjwtamYXojF8p5KmedPMhgCPmtmeyOg6d2ijgoY8B9crJ8Xv36H+O9JJ4xtWnPRmWvshZnYAsExIp+2S+NuFnDP/is79y0Tfm9WGfcjuyOCwEOo/BY7OKyi9KpbKNuqzTvMBD5qoocsY3uIUR+imXHdktOynLYtyNkUG2AetyHXplq+jFOoPoH40ns73I0vc/W30Lp4ZxsRFGsbdVt7F0hpGWmmllZlRbgE+YcLWGI8iQr6EJgEAmNn1KPS4DocjnLI1w293DcfSifoqwB1mVuAOLAY8YgFszd1XdPcfhHPjTOBoPaCCJhaFMQTjh5m9jLBN7nP308Mk/RVvoKl09+uC4aPAIdnH3f8W/t8XGUmOK/spIW/cqgHjenAogMdNYGinhv1voFD5uE5fCP8eFhbrI9AkOZarKGHaSGQMSjHaKuxvF45tlOhdB/wyLLJAk8X0euOAVc1saeAM5PUqKCN1s8pRfwlFTezvHRDau82sMM78Kpy/qqbej4XfXIHa83PAlGICGCZ9cS73W8BTJQafMjFkqNkWRbXg7j83McqsFq73XXd/NqOsWJwMo1+O8czzMF+ayngq1GEj7wZJ/q6JGSU2/GyDjDCFweaWcCyWM9EE/fRQ/hQzu4juhdNLZjZ3+P2FZvY80cQ/kjrDZ04e/jOoXUehRcSADlrUpvI4cJOZXUs3CHO8eLiGEpYr5F3NuV66mInFkaHneyhCaQ4zeyWcM4TRcAbIGBuuOcK6wXWHE2FIBNka+AzwY3d/yczeT/ciqpClPKJnBr5vAknsVND9BgsAn+HQI94LIv0YGq+Lhf6iRCCS7j7dzEaa2azxojYVd9/fhDPycvjNq+gdr5PVgY+Y2Mk2icoqqMdPM7Pr6KbR7qeffD4YEt5A0QCYmNQGsLYqxuVr40IydO4A/orSHOPvyjQUuYC7u5l9G0WMrYH6yOjouxTLaBSluTfwA/RN2jHROT18cwq8iJtQqlyMf/QM6l+FgWo2tDiOZWe0eP6huz8RjNyFwTXHePplhIExC81OixfMbJQHpqJgGCvuv7ENw29SoPOBUwTA8z6NR3VtlFWnIAdTI56Hd9JPW04wAeMuAXzPzOah5Nsb+leTUbNWwnd0VKjXBOB5M7vD3cvG5Vbe5dKy0rTSSisznViHTncvYI4Q5dHFwmLlDDRlx9YFvoUQ1o82syWRoSFG/x9ZVx93f8qEyP8tFG76VStB5A/e5G96N0DlKd5NHddIUxn0GpkGGn7/fnf/a9W9eTft6XtQ2sQGaNJ2A2qj5yOdMu/ztHgia3lMG2VsQmXHhiBjSAG8dz2i/Zwe6RT95DsowuiktA+Y2ZLu3mXkKanT3R5RClfopJESXeKdaKH30gFhvSduw34lLEILQODb3P3yhp+kv5+IQt+XRelDEIx+yHDjLkaFD6JFfyVYYiivkpXJur3fPZK8b5PRe1JEW6yF3pNGlqWkPve6mFRiNpB0nJgLLRoMTbBHoFS6F0sL1W8q2VTC+QLItbi3p6NzwxFzyPSwPxSlL7yWlFHan4p+VHHdMparrOs1iZkd5e7fqzj3ObTgGUUAQQwyDRmj74h0B8AwLURxAWVRXHcC33b328L+2siYsmakMzsy0vaAYlsnOmsEet/uCfuro/duvaic81H01pV0e8PjSLYB0FhTpNLKwBFeQVtdJ1YezfcyMpQW0TyNzC1WTqGajm9j3X37RKfrWI5OjlgGC1YfZZ2FIjsKo+z2wPSkb/8KPdvr0bPdCD3nP0Mv81L4Zi7q3YxbNxOMp15CDx/pbeLuXQalkjovhaINF0bjyZ+AHTzQhf8nxCrYjaLzjW0U5jzPeCeqZA5kKHoyuVbjt6viPekCV25qSxNF+lgEwPx4MKAuAHygeHZWwdoUtUFfrFsuNq3dUP84NGeu0sq7U9qIkVZaaWVmFLPeKI+hic7bZrZYsSgxs8Upp6QrkOjnDPuPI09Wl1pZJbybuWIM8jYUE/cyRP7phVEk/P42M0vDo283s5Opp6nMYRqonaC4+1+D6t/oTUtKPYrPI29PnUxE3tiYJeRZM3sO+KqLtjWHaeNFM9sO4YOAogB6Fqmu8NdT6USxlEkRRr0DJWHU0fWOp5vy8/Bk0XtiWKiOp4JCOTJ8FCHh/0wrY2Zbo4iDm1AbnWRm33b3SxO90ag/TUNRCR9D0SzjI51TEKBg0U67m9mn3L2fMGJD3vsmGYOiM36Cws13JomqsmZWptj73SS7AueYKHUN9aldkus10kICfwuLlSKNYkvkISXSfzWcG44igrrEamiGzQzvphn+LMLFWBgBj45ELCPLRz8bD3wKpU+ADFPj6TB5FPUq+tOcuUYML2e5yrpehqH1ajOby91fDe/nysCJ7v6Uu18BXGFiRbqzoZqNUVxBvg6cH/oAqA+kUQXno3ek8Jp/BS2otqI/9o8/hm0I1Z7sg939kmDM/hR6j09FhhZgIPrsHOAiTxiuEjkFtd8U1L9XQOk9I8xsj/CeL24VzC1WnQIxnN4UiLjvVaVA5ehgzfTAtSxY1h9l7Woe0bgDv7PeFNfGFD8rjwa43d2LVI453f0e687S6EltixfyZna1u/cw0Lj7H4E1Gr4BWRTLkX6dkfVQqtmNCslJg7yY7vFgOpq7xFTnWd8uyt+T04jekyYDE5rbnB/ua3PETDUX3dFng8G2Vcgspsi1rVGaciutVIvPBEAn7dZu7dZu8YbA8a5E6QOg/NWUSeUzyAs+FuEQPAV8uqSsNYGHgKfD/krIOx3rFKCQUxGDxVv0AthVIvLTAaAsBahMyrmxZEsZQHKYBrLYH6gBnwW+E/6eRMRYQzlzzZlx+wIbh3tdgw4wbQ7TxsjwbF9Ai8tfIS9Ocf7i5JnUAXQuF+q6Tdhfougzkc44FIa+ZNgOLWnLo5CH7eaaZ7ICAql8KmwTgOUTnfuB90T7C1HDrEEN8BxC0E8BcX8f7TcyCdABxVsJ4RTsifLRe/pI0ebpsZL+VglOOgPv+QgSwM2kLfdAlMWrFFuisyTCxngNGSpvo5clYndEK/skHeakx6Pz3w9/x5Rs55TUqRbIlXLQ4LJjOeNSI8tVzvUQm8xUZHy4Eb2faf8uFvErhX7+TeDmROcYtDgfhqLKXiCASkc6BRjmdygHwxwd/q4d/g5HqSZlfaARFDujj92JIlGa9BpBY6lhuEr0LiMaG9A4dWnor8WYXsfcMpIGEHLge2h8fQuNtcV4+yJwVK5OUu/7wj1OQuPLzrEezSxY/YDdNgLrhuOzorF3BRKWpOS57UbnXY5ZfK5FILFFv9wSuDanL0T7/QCn17ZhpDeKBrYsMtiNMtuobIxIQXxzv11Z4MpN7YuMjj8jfNMQxsm9Nb+ZG5i7n+tEv90KvWenRH1t3IyU1W7/97f/7xVot3Zrt3ar2po+hsB7gIOQUWBL4JMlOnejSId4cv5Aw3VXRmkb8bFKRH7KjR2lC+zM+85hGshlfyjquxcdQ0gxOf9s+Ltj2ZaUU8YSMiUp7wmamTbOA+aL9ucnWoACC4e/tZPwzHYcVzEpTBeOjxGxDVSUdQewfrS/HnBHXRuhSW1du50IfKHs2aFIpJHR/kjgqkSnlkkg6IxGIJeHh20qYcGa3NsQtKDbExm4Hkl0almZyKBGpU9mpj6e81xEdNPJuUeBBfvpNzXXKYyj9xOolOldYNxORJmJDDp3lpTVOC5Rw3LVz/XIM7QW48QhCBdp4Fj63lBDaRvua5vQ55ZI7ysqo5E5Bxm814j2V0dpOf08s0ll7V+idzUy9D6OouFmS+8t0q1luEqfY3wsuv8cY+RcUT+roprvWXSXXLtRJ+nflfTAg7Uho9DTyKh/MzJcrp/orIeM0DcjjKAnSL7xoW+/H0VJrVZS/zLj6ciGuqUG0d3D30NLtkNmpA3JM7LmsBvltNH1dDPxfI6EOYb8b1f2e1LTvhPpjDdN1M+xQ+JpShwS7dZug7m1qTSttNLKTCdm9hEUajm/du0FlMv7YKTTmG5SiLv/KQmlnZ7qJPplIeuHUoHI730AU5rZkcAx3g0a+y13PyhSy2EayGV/qExLcvciteA1d78k+dFWdMtfzey7yFMKAsN9LoRlF6BpOUwbK3oUhu7ufzezGBfmajr5/X3lwJfIksDrZraOd2MZvJ7oPYAmeXV4IHO5+41RvW8y4VfEcp2Z/YZO+suXUAh0KjnAc/MAvzexBDiKnLivCK13haU3MQmAnvnq3kkpORq9JzGoXwqWuD69aQ1NrEwF4GFdikMjM5N1sGyuMrH1XE53etPfI933Ipruhd19EzNbDljT3c+OivwjWhRVXa+HPSEW7wZDzQFy3Qe4xMyeQQuZ96F+UFZ27bjkNXgjfV7vDRcuB2Y2m4vVatlEZ5oJiHU74JMmjJ80La3Y3wxRPr9svUQStWCYqE8/Cixs3Qw/ZaDQjaDYVY0SiQOTw3tzCd3vyWWRXhZorDUwXAW1B83sVLrHyofCGF3gilQyt0TSCEJOTQpUnzogRqZZQ3sdg9LSyr4ppWK9QN9dEj8vzwPWPQ7Y2N0fCeUvg8bWOA3ocOA3CIPpXhOexqNBfwiwqrt/KozVQ7ybKa6qnrsk+wUA+G894CJF97w23ZLbhjlsWZXsRpHktNHX0Xh1MhE2SlLOtZnfrtr3xMzm8/o0M0Id/hXmDh5+txDlwOdnIKP5jUFvPdQea5Xoll9MWEW70ouPtUvlj1p510oLvtpKK63MdGJmdwAHJh/DI919rUhnKsqRvcvdP2piTjjS3bdIyroU4QKcjDyOo9Fk6cuRTrw4GoImjgt4YLgxzf4XQQusApH/Li9B5LcagMpwvgwgtgdkLzq3LoEBxgOrQpgov4kmKFPd/dEwQfmIJ/gelgc+Wwby13XMzBZExqF1wqHbkaf0ZRS18JiZnYuMEZVMGyGPfL1i8hQWwje7+0fC/gNosfsDShYmyWKmVkzgo7ugKJUCz+LvKBomBui7CUW63JvUe1SkczkyCMQUs6t4h/Gh0PsiERWxlwCmhgl7JfBc0Fm37t7c/eYqHReuTlHOVORJLYD3ZkcRSR8pqVcW3oXVgJOa2SouvJn42ObeDVK8kLu/UFH2E9QwqXgECGtidBmDxoqVTBTTk+J7C0a3MSiSIX62e4fzh4ZDy6LxpMB0+Czy2G4XlZUF5Gpmw+he8PWAbGaOS1nMW03XC313Z2RE2QCl1Axz95i96X0I1+Jed7/VzBZD72kM9PgjBML6OjLUzQtc7Q3AxSX3/j60mB2VnvNuUOiRDUW90rQIC2NAil0RLtW7MLJ6zIeY4WpcvJA3s8uKb48J3LIAjQWNlaegvjOnu//TzFZD+DTzorFuBDKY3xXX3ZtlPjdAAAAgAElEQVRByKeg9KcVgXORsXJrd1+3H52gNxIZh4chhpwRKP0gC1w0el6ldNzuvn+k24Ppg74lUz2AfloJQGbZsYY63efuq2borY3SmUYivJLCUBePNznfyaw2NLPfonfpKMQa8zwap0sX/CYMtZjdqDie3UZWj41yNBojiz57K4rW+m5ZfaokvG+reQSSXqJzMjLwfAnNtc5DEb8Hea+D5n7vxqIpPdZQp0tQaupXkCFtW5TCMzq3jFbePdIaRlpppZWZTnI+htZhpJiMPOJvmtmD7p4CzS2IUhY+hSY741Ge+4uRzqHRT95CYb3jisVk0JlatphMrlUKUOnuu0Y6U9DE4c2wPwcKv12+pMiq60xEebON7A/J74ag1KRXwv4myPO5NQKDLWQ4sJxnsOck5R9adtwjz7eZ7YDoQYsJ0FbIuzw2nC9oa7emmwEjFJXv5YknrSbwTYp7T/RyDAzzIUNQzJDx/QzvWFXdVqQXWLQfo8+d7r6mNTAJBKPfjnQA+j4PnOvuJ0Q6a6LF3tzuvpiZrYTCx78R6TSyMgW9iSi664Gwvw0yxMUgln9A79gvUUpHTxua2ezx+1d2zPJYae5B4fNdFNKeUBSb2S3AZh48yqYonmvc/ZP0KSaWncXpfrbnJzo541IZW1OZYbXxepFuj6E1856K/jY/HUrbIoXp2aCzEXqujQxHGdcb5910vmU6lQblSKenvSr0RiHvewGsuxhKW1g+0mlkuBpMMbNJyMDyE5Te9GD6HYqMJ4cAf3H3s0sW6406g13vkj6a1ukahLNTROGth6IilkBYK2PN7Bz0zl4QdLYFhsbfAGuIBgjGvL/RC3beBWJrZg8jQ8YEosgtV1THmihCYR/0LAoZjlIhsxfp0fUqjaxWzmo0IN4N1J7TRrMBX6R3jIgdNmVGn76ZW0KfHYGiqca4+0M1uh9CKVWGUnt+X6KT5ZBoqpOLlWaKi4VtGHJarJF9Y628a6RNpWmllVZmRnnczA6m+2OYTkgb001MoZrbu/u2VEjQmcfd92uo00QzW83rqQrXCh/eKe7+fTM7joQBBoVe32BmY8L+znQoC3PFyGR/MLOLUCjtdBQRMdzMTnT3Y4FnEFjcKLpZRaahSWJczkIIUDGdgG4Q/d/I3OLu55vZfXRSnrZIJk/vd/c9wmTmjLzmqBQzRWMUkS5uZrehiffAAtQVfVFpYAh95EBvoAgMXtCjEfaN0fE6Dk/0zkGGrAfpLNYdYXzkyuyWwSTg7sebImIKT+DOHlErBjkBAUkWaTr3m1lqEBhDMysTyBh4qZl9BfgECtneOFZw92XM7OOICelAM3sIRUJcEKndgbyJ1Bx7NTzfIhx7DeR1jmWYdxgq6uS9QGwo+Fc4hpnd5u7rmNm04lpBep6vmY1F+EOT6SywnG4mCZBjqnJcCjLdupm3RibXr72emQ1391esm2p7avg7N70MJ3UyO3QvKF3pWXEq0dEoqu5QahiOMiXHkFIWVZTK9qb0glMRRekKwSg5yt2PiPR+gKIBfxsWUeuj705hXCT833MB7063wmror62CsSXSiaNo9kEAqpcHo8iSdAwJheSkQNXqWB8pMJliZra2d9Nxp31gFuDD7v5c0HkvekdWRylEYxH48jfpsMjdiiJvYhmLogE+TRQNEJ0v0spiNi+nt3+97NVsKrOi92UWutMAX0HjHWZ2sbtvXdWWaRuGd6eQ9Pt/XEU9irrH6cJlbfSz5DdXoHFxAlHUXKj3Hsj4tqR1p7bNgyKd+hVH0UlfBs4Kfe0cNL4XDpmhCDPtQ+jZ1ckuyCFRfBtvJWEwy5Aigu4lE/3xs+gb3UorveIzAdBJu7Vbu7VbvCHshJ8SQLqQZ3W+Gv110eK+B0CTGqTzSCcHnO9hFE3yRzoMNilLSi1AZaT3GYTF8GNKmHQy6hKDl5WyP0S6BdjftmjCNayk3rNkXHM88sz9PrT3OcDRiU4jc0vOvcV/a/SGEth1anQ2RsBzByNP5BIIrPe3id7Wob7nocn5E8CWic5dGXV/DE32m/T6Ytao6QO1TAJkMNck/bYSCI8aVqaS8pZBjCvXoRSAumsvGNp8eth/H8qP/z2iMS4Yn9ZL7yUcvx1N+m8H/oAwbGKdI4GvIYDG+YutpB4HhvY8LGyTgQNm4Ln8HqrBhyO9P0Tv1LwVOo3MW3XXQ2kuhP78ePq33/6WoTOJDFDRQbxeGYvJb5ExevPo2M0o9acO6LYSWJdy0M1iO6SkDnWMM+vWbTPQTu9D4MWfCPuLoYitbB0qgK6ZAcDrUN4qoR2fDNtkIoDgoPNQsm/FMTqMLrXje6Eb/haA1sPIGKtLyvkRMjKvSWfMSetc2RbIoF/ZlnHfCH+n0WEKKmVwy6z36KZjaV9Pzo1AkSQ/T+rcM0Zm1icFbF4XGdFfRd/XpcPxRuDwwdoQY9F8oS6Po4iwr/9vXLvd/vu2NmKklVZamenEFVpf651P9G+uOX2bKac1DaWdGOnkgPN15fVXSBlA5Zkl9b0OLRp7pAhZz7jWv0Oawg4IDwF6PYUAw0Lo6OeBk93932bm4VoXu/vWwKTiWFLP2Mu1gCsEe3Ro75vNLI2eecdAacCLFoBJwzNJ6zQq/J1uZiPNbFavSAlw9/Fmdry7/yA6fISZpeCUB6L0piK3fSG0wLo00pmU0Uee85Jw4BK508yW85ow40wZ4t2pMy8SeWZDGz0SRx1UyJ+CV9dDXxlNt9cVBJY3B53ojKWIvI8lntL50eLmbjPr6kumtKYvIK/iUijNp0jb+jQCNV4EYXAUMg2lYMUyCU12l0ULq0fo9UxvE/5+LzrmJB5jd/+hCbPkE+FQT2SNmY31BBC45NgDaCH6V2rEM6Jm3P26EFZfhHzv4xGukZktX3c9d988/F2iri6DKE4eqOh/UnZARrA4TH5Od78nifZ4K/ldJbCudyLhBqIgCrFe8E2QMfAGMzMXZsphJnySQ7w7PW8OtDh8JCnzBHffpyq6xKOoElca0/HR/tMk0UlNOt6L6/JBd/9tqF/f6wQXxtBKZjYi7PdgEQE3mdnVdFIqtwzH5gJeyhnfgzRGA1heqlmR6hfjkTiwQfE8gJMrvpOj3L14/77hCS6HCb/ju0F3nfC3EoA6+t2cyKC1mLt/zcrTF3dEjqNYdkqO3WFmH3H3qYle8WxepjNOvlOxEBGyGYoWWxw5ZC5EY+uvkeG8Fji8n3egSdy9AAm/mbxItFbexdIaRlpppZWZTkLo8370TmZ6GGcypMjRPzw65nSHo86OFpUbJDrxoreHJSWEsQ8cixbg48Kkrwug0sw2cvfrG+o7e8N50CKwif2hkNOR1+5+4JYw8S1wNgrwsc0zrllMQP9qAph9Bi1+Y8lhbmmSzZC3biz1IcUg78/twWART67iBfV4M/sycHHY3xIBP8ZSa2AIktNH7jOzX6L0rhjoM02ROR8ZR54NemWMHE1i5LHg5DDXfB1NpD+AFrLj6Q49B3m9S1mZguT0oQKrZSJqo8PdvYtlwYX9cZ6ZfdHdxzUUd7Yrl/7BUPZcKB1ow6i8fowCcyKv7RgzW8jMlnD3J6LzKX7RLHSzP4AiYB4K7V0K5Bsduwe4x8RUdTzyqF6Q6PyN3nSlQsaiRU3t9czsBnffMP5h2bEGyUlbgTyGo8G6nkG3gcHdn0FjU5wa+LdgyCuMelvSa0j6HAKV/R86mA+HJzon0ZveVXas0ThkZp9FEYOzIiPwR9H7MIoMhifLSO/K0UnK/CqKrpofGSwXAU4jep9yxPLYor4JbEEnxe88hOvlqM9A3vh+RhhTDkLv/twoQrCoS1Zqm9czy+UwbhWyEcEIEskm6bFMI+sY1I8Lx8JA+mJwinyFXgfCcHpT5NYBdjIBW8/o9yau51CUZhjPzQrD+4aIFehG4Fh3vyP66aXWSdE8mHrpp82b6pvTH1tpBaAFX22llVZmPjExl5xGLxDahMofzfi1hgJ7u/tPGvRS8LihKFx8uT6uVQt4Z8ICuJHOxLBLPOT3m9n8noDH9SNmNou7px7Tpt9sjvJ7F0WLgeEIfPTKSOcdA6VFZS3k7i9YPZL+oWW/deG7FIsBQzSxRT8aCvzTu3EhjkWYH7GBYUrq+cuo85jy6nQDxprZY8gTmAKCphg5Pd5b74CDruDuD5hwTQaYBDxhwbE8YNkeoNOK+1uABlamjDImoj5ROvkws+3c/QIz+xblnsKY4egHKJLpG2FxdA1wZjBsbODuv7Ny9oseY1XoS6sij+wyZrYwoqRd24TPcAAwB8LQKBbt/wLOcPfvReU0tnfQK4uaubifMc4EdLhP1fVMwJRzojFlvajewxH46oeiso4u83QXx4I3/lFPKFVN9L8FkPQAM0tNnU9y970y7m1jV8TXOugdGGOK5Jq7MFaF8XJtgoHB3VMDQ1HWkiiabS3EyPMEsG36vtXUZU00NgwlA3zTehlnhqNFYsw4MwEZWW/yDnBwJcB36N+LesJKMphiAjL/OEqta6xTTTmNbFFBLx7f5kSgodOi85Xjex91eQYxftUudkzRLYcCxcL9ZtSPyqJdyn4/gNWB0m0LmQcxwm2X6KfziVnQN2e56Nh97r6qdYNL3x/adCRKDT0K2D8qeloo562onJFldc7t/0m990Lt9BwRPlZhZLEOHldqVCwr632ovzlKeX62RGcLBIKdUjn3U+es/thKK9AaRlpppZWZUMxsgrunntgZLasMePFllPc+Oejc4xUMLCWLItACo2dRlFGXWoaE4NFZGHk8U3Hvpg6sBPgrKbeUQrjKk1j8TT2KdRLa6TQ6zC0gQ8phPgPMLWEhNhZ5Lw14AdHsPlCim0UzW3Gd5V3Ahk0GhiVRVMUaqI3uRKkNT9CnWEa6VOy9dfelwvM+rR8vv3WYRGonoMFQ8xx6XreiPPiXE50L0GLhVndvAsyrqs8JKPXlz1SER5vZ7u5+eu6iyMyOQQvPVYAfeYgyMbPvu/uhfRirJiNMk4nRIqSLlcHMjurnfa+T8K7/ChlD7mzSryijydA6GhlOFkbe5sIw8goyIJ1cV1bJ/TfSlWbU+XXkUS6V5HqVxqpIp9HAYCHyxxRRNMTdp1lvNFBdndcFfhF2T4tOTQOucvfK+6ko7ySUurdGsuhN2/smhJ01C3ISPI8W2TEY7FI0sJPl6AS9u919deuweMyC3od+mUly2KKyx7dgRPTYaNJHXf6BGNZqU9vMbBxKSyuAULcHVnL3LawanHYg8iIYVuajxFDhkROjn/mEmd2BIjBud7EKLQX8PJ6rhD79uru/bYq0/RBwrZdThFdSUedK+Fas7glFeaJTOZ+KdHYDDgF+h+5/XWSIOifRG4Pe71tQOvR13r9Tp7E/ttLKgPhMAHTSbu3Wbu3m7tABRzwMeV9qARMzy7wIAR0eF7ZHUDjqvcB3gs5PgJNRDmwV8NpRDddpBBklE8Aw874qAf4SvdNQ2PCfkKdnKkpBGOxnNzH6fwRi+nkn5d0BrB/trwfckeisiUA+nw77KwGnzEi9EU7D5xBey/tK9O5Ck+VZwrYdAbQ00lkGuIEAdocWIAeVlHVK6JfboHDyLRA7T6wzGYXZx4CRU/u8t0kIeO5p4Fw06X8S2KVEdzGUQnBK0JmcnF8fTWSvRyHu4ygB/muozyooomjdsi3Rnb2mnC2i7Yuhrc6oaMclSn5fduyepD/MRQJSHI6PogOcvHnJ+TXQ2PJPtNiZTgmoIh3H1NwoCmKG3rmm66Eoh4NrytgDjQmvobGk2J4ALojejSxA3Iw6P4DGq2PC9pGw/QgZttJ3wJJ3IAWOvqvo6zU6ZSCtfQHChrYeOSPPqaKss1EqxBTggygK77RErwAW3Q1F55Xd22Q0Hi2NvnPHAr/uVyfoHYMW7Q+jlJDLUapmv/d3E7BA9C6tAdxcUqfa8Q0ZxabSAXG9H0Wb5dThKpRaMw1FCf0m7F8JXFmiP7nqGH2C06Lv0J5hW6nk/BDgnIx72AgZo19AGB1PAuul/RhFhX0gnL+EBLQWjVmPonSkJ1Ckx4Mz2HdvpAGsnbz51CMo2q/YXwB4pKK8YeEeLkQA1GcNdn9st3YrthZjpJVWWpmZZAKdiAWAb0fnnBkDzloEfZT/CQNeyGtQyOwENBlsxCHxZk/xWHpzzXvEzG70+nzm7YPefGjCHHt4bon0KgH+kvJyKIQxs5XoAE/e4v2HbFsIIT+HQGloZi+jRfiMpEDl4JXk0Mzm1Dv1Xp1kZqn3ak53jzFcLjCzuH+CgGa/jXBdcPcpJrrkIxK9OVCud0xj63Tjlbzp7v+yABgZvLf9hnh6qM/HPHj4TOkwd6DnVJS9CEpJ+ASa1D+IDG+dgtxvNLNbEKXx+giXZHl6gf+qK+M+wQTEWgeWXMgDZlYVxfLZRHcSmjx/lt52HEfve3kpvdggF5vZ6cC8wZu9CwlwspkdhSJvLgyHRpvZWu4eg8KejNJjLkELux2QwSyV5U34B/OraKuMiKqRfzVdzwViuQVK6SiTi9B4UOfpjgFxj6M78iQFxG2ss7s/ZcJbiqPn9jelWe2f6Lp1wKLL8IoeNFFDDw1RB3uj/o2ZfQj10RHWnVI1nDwsp1RmM7MzGBzsq70Q6POb6Bn8ht5xYhYzez9izTqwopy33f0tM/sCcJK7n2RKsepXB9T2uyJjxO4Ir+isEr0m2ReNyUuZ2e2ILWvLRCdnfDsHgZneGnTWQSkROREsP0b9dEMEPF6IIVrpVF43s3Xc/bZwrbUR5gzeDU5bSesezu+NImGKMegCMzvD3U8qdFzRHatRI6aGeRgZe4v0xdHem75o7v6ame2KnALHhOi3WCqpqGdAHkcgudfQjWkU477k4Lq9iIxWhUwLx3rEBRh/bShjDvQ8d+ujzjn9sZVWgBZ8tZVWWpmJxDOBEi0PxLSQ9xB9wBGI6Hvd/XUzezNct85QkSs5YIFPokn6CK/IXXbhRuyGQAwXQZ61NVDqRjyxyGV/eD38fS2Eor+IInE6FVfI/VfpTOYuTCdzGeLICzqjE9lUHjezg+nGK3m856Luf7JutonpqU6DZBkPgGvNbH8UUu8EoFMTzgFhEdnIfmHKwZ7iDZg2iPXnAGAOM9sIRVBd1ee9Qd4E9GkUdXCku3+9rBAzuwFFUdyJDBWrpYuCJgkh6UubWanRzaOQfXdf2swWQ8aazYCfmdlL7v5Rd98541p9LYrd/cehnV9BLDeHlIwxmwEfdfe3wzXOQ0aZA5KyHjOzoe4+HRgTFqGpYbWMwanAwSjuwVAUz5Ku1LfFUDTTPeE6a5hwCJqud4OZfRG4zN27Fp/u/rKZ/RP1/1LMAXc/LxhxtnH3C8t0+pDi5TCLWF5MzCEp4HGjsYpuA8PPkYGhMAIti0CB56XbmDYNjXf91vsSFIF3Fv2PM6kc7u77UW3wAC0sf4OMgvea0vnStJ2CnWxHqtnJGnXCuHS+u29LCZNaP+LuE03pRwNsUd6b2pEzvk0vviWh3NvMLCuNojC+BsdBiu8zR8lPvg6cb0qJMQRgulPyu61RtM1NdAzo33b3mL1sN5Rq8mr4zdFozEy/pRPNbDV3T5ndivq7mf3alRJ2Tc2tmgkDZ1tk1AJFicXyb3d/0cyGmNmQYOQ+oabMOnk6bLOGrazuOfOpxxBj2RXoe/o5YIqF1OfC0GJmm6Bv7Xqo3c9ChsJsyeyPrbQCtIaRVlpp5b9TjkYh/TlyIZ0PMGhieFHwPj4EvGPgtSBuZluhHNhpZnYQ8lQf4YEa2JWvfAUw1cyupxtpP6YnHo28Une5+/phkXdkcr2U/WEDytkfyiiEUy/gruRN5urEeAcT2RLZBeGVXBbqfGs4FksOzWyO5BgPisnY7snxL9OJZmpkvwge/G3oBnEsk8Hw3hp5E9CPIXyVrwTjz6Mo1DhG7Z+CoixWQBg9L5kwTF6PdJrwDDZHaVaFtzI2enlSTmMUiymn/lRk6FzBzFYERrn7EczAotjdrzezuwlzIysHOZ6XDuvDiJJiXjOzWREF+DHo+acLfsiLiDoFhb1vgBbJ01AETOxtzrne7shr+paZvUGCIeQZtM7By/0/dKJlZlSKCKNdgXPC2AvwEsn7nWOscmELHUiJgcHdrwCuMLM1vQbHxYT78E+UOlSFh7Q9cJ67n9p0gxlidPCMKsXdL6FDZ4u7P45Sx2LJYSdr1PF8etxGCUaWTelE1mxsihSLowpyxrebg2Hs53SM0TeZKKyLBW9hEEzrUIChDksMsfMAt6f67n4/ohgu3olXUh3yaN2NbqPZdMqdJqsD25rZU2geUMYUU2s8CTIaGUEvd2FlLYnSXWKppKLuVzwT+NYqcM0ilT/SDVJbzM9SGuMdELbI7j6DAKxm9k2UXlSwl81nZtu4+ykzUl4r/7elBV9tpZVW/uvEGkBMS/RXRYssEJDZfcn5SuC1Pq4xEeXermiKlDgCGSMOcffVI70y4wUumtJCpwALm4wMFm+a2YPuvnzZb02RI3NXTOZivdlIKITD8alowvdG2J8dgXTGAIYD3t30WJio7oKiI+ageyL7hkdggYMlJgDD76OF1qfQxHI8CjcuIj8MWMTd/1RRxr7IsHQLwjnoMh64+0591GcjNNFL2S+2c/cnE92fII/tL+k2jk2MdOZCbTc97A8FZvMEZNYamGvoXUh1STHRDRPndZAhYrtwbmTJfc6DPKn7oeiF2ZLzk1FKx+JosXMFwt/ZNNLpeX+tl6XhbTpRLFdQImZ2MyF1yTugeg+4+wqRTu2iONLbHfWnN5AxolioxIDH2yAsjBvD+U8C+7v7LyOdkQjIdlZE/ToChbg/llyvkcGpaBMrYaXo93oZ938LMpBV0jqb2Y+Av9Hbb/9uZldRk+rlJXTFocwR4XyPETos4P8ajUtzICPYk5FO2XVfBu5D/SKHbWki6qtfRs/kHOA3nkyQzewwBIB6Od1pBH0xhJnZTmhh/AFk+Ijb8rJI7xj0HXkdUWWvCPyPu3dROkf6jcw1dTpmdj7wYZR2UEWP2yhm9mv0HqWsW9lsMqGcdIEfi7v7BmZW4B2NcfeHot9mgaFG+rOhsXJxutOkDo90UlDfIcD9ybF9kYOiAO/+PHCuu3dFaFgGU4yZPYxwYeqMJ7USvpP7oz40hA4V9YVeA6BaU95CwHfoNXpsEOmchpw26yNj15Yo7WhXErF3AJwefp8DZN4DtNrvHLKVd4+0hpFWWmnlv07SRVSD7vwlh6d5FEpZ8eHsC7XczO5CC9ePmbAIprr7RTPyAQ6Lpp0Ro8QGaJE9LFlcXoS8gNPRAnI4cKK7H5uUVRbF8gN3nxTpxJM5Q4aBrslcWZtHC7fGCWw/958juX0gncwm5w6t+20/E/m4PhaxX1TolrWXJ5PLu4BPeQcbZ25gvLvHqRaDwVxzEgKxnQ2lD92KmGdS6uA9kdFkFZQSVuj9rqwdTPgrb3jAM4jfgWA8+aZ3p1Gc4t2sFSshQ80nETBsTxSL1bANhPuqW6jHEVqY2aPAmt5AQWzCfIgxBnooJiPdukXofDQwOJmiV9ZCRsqVw6JkfNV4knG9Sswiy6N1fqJcxZes+n1ZOaGs96IouIXdfRMzWw61f/x870MYSf8K+7Miw/Zqkc6JCDMgptp+BT374e6+fV29QhkFC4sh3J+dkXHvYgRU/cem+0/KWwYZ7EZSgUViGWxJUV/+Aop+2hfhP8WGsZtoZq5p1Al6pePhDBg0uth1KnTWRoDhRRv1GCIzrrMjiij8MnpmQ5BR6xfe4CQoKes6AlsdUcSHux8X6WTRupscBTHDWRmeS6FbyRTTZDwxs/m8gfEtGP0+QSZzTZOY2XhkGN0PzT92BF6I26B4/tHfucP1PhHprIlSb+d298XCeL+7u3+jz/o0zq9Mjp8VC0OnddJZSx1Nrby7pU2laaWVVv6vy0RgUWRcMBQK/6wJ2PGrLmDQSuC1KgkLpL97CO905ftfbQr93Qg4OnihhiS/a6TZ9Y7X+LCwiB6BPIaxLOfur5jZtgg8cX80qTs20TvY3S8xRbF8Kpw/DXksi+sdHybP66AFxc7FZC5MYNYCFrJu6uPhhFxmz8RoMbMdPYqMeadiZj8tOfwycJ93ogwqw5FzJ/xmdpK771Vzfl/gPUn7YAFrxBOPa2Z7zV4YRcJv/mlmcyY630RgoHcHnUfDRLsfWRv4tLu/UKUQFiCzA8cjNo+e9Khokp6DeRCnURh6N9M0ivvNrAi3LqJY1kWT6ULqUpe6osIy5I906DNLJSx4QHTDAAsHI9hTRZuULULNrGcRGtqqyzhTIj9Fxsr3mNkPkef1oKROjdezDMwid7/ZuqOP5iTBKvAaDKjU8JEh5yL8oSIF5g9owRU/31k8SutwgXWmuAZrxYYS4KrIYPZgZl08lO9m9izwLIp+mw+41Myud/fv1N1/IgUWyZlUYJF4A06OKb2nmKNvhmiKX7Zu/CKAEeE7sBtKWTvUejF8cnQax8OmcTCSa81sY3cfX6NzNopw6jJE9Cmjw/fkTODMYJy7CPiJmV2KHAC5kVOLuPtn6hTc/dvWTet+hvfSus9Ph0WnODYsNUKY2SgEZLwwMlSNRGmgA4v11DhdIjeQAfiOIiI/EYyj45Ej5UsoeqRfWcDdzzaz0eGdv9nM0m9rI64ZgwOcDjXG70iuA34Z5mag1K10PtVKK0BrGGmllVb+O+XJPnSvBy51998AmNnGKGR2DMrhXx1RVp5nnXz3f5AAr5XIWIRyPs4FogfCofgM8GN3fykYT1LmkjEIz+QnKNS08HQNiHVHuUwNf9MJwDATrsbngZNdyO1lk4Ri0rkZmshdY2Yp+8HApcN14tn3rAjUdRa6839foX9k99F00pUGQ2ZH3q8iD/+LKH1lJTNb3933IS+Xu0nWbjg/D3qGq6JogivD8c+i1IQusTxMm1fNbGUP6TVmtgq9xnFw/ZMAACAASURBVLrBYK6hzigSZLQ3R+cUk/QcPIMJ6BnVpVHcR3cUyydLFgrfRKlLHzKzvxBSl0KZ/faz7wF3mKI04jSJ2HhxSrjHKagfrYCwT0aY2R5hIZi1CDWl9x1Ab+h+DEB7oYlpasNwvc+7e4qhk3O9Rswii6KPgKVQmsdp4dqFzpwoamExd/9aMPIu6+5XRzqNht8gC7r7xcEAgIs1JV0gv2Bmo9z9ylD251AqTyxzW4SNYgKoLUCoc7EyzARAvUMo/yzg22FMHYKilb6Tc/9B3vJ3jkWyFcKHehi993uYIobS1KAc5pocnRxpGgcLuQu4PLTdv6Eb0ybIy+7ew47Wp1jw/m+Gxp3FkbHhQmRM/TXljFBlcoeZfcTdpzbpoW9qkeqXSo4jBgaHKSYH8B3IYq7JlcLA81cTjsgzaMyIJQfXbDCA03Plu2hs2yPsX19Wn1ZaAcBnAs7gdmu3dmu3eEP5qQcDZ4b9DwKbz2BZU0uOTQl/JyfHh6Pw69yyDeEnFPtjS3TGJvsT0noVx6L9J9Ek4W/I2zIdsc5MRDgEIG/zX9Dkz5DH6daS61+N6GMfR5O02VBedKxzCDLAHIbC++8HDkp0Rg7Cc500iH1kEpqAD42OzYI84UOBh4p6l219Xmtijg7yzM0THZsHhb6nuuNCOy8ZtkMRY0issxqKYrgVgY4+Vjz7SOcYtLh+GEUpXY4MEoN9b43PrUwHedxXLDk+G/CVUPdDii3RWajhejtG/88Vt3uidyOiYe7aSvTuQRExO6Nolx3jawSdy+h+35dDwItLEsaS8B69H3lmVwvHppRc7xEU6bFEVb9EBorZwv/roXd+3kSn8XooFQcULVKU92CiMxkZQSfFZSc6v0T4Ag+E/TnpHUNvQ8aUKeGeDkNGv/T+bwIWKPofWiTeXHL/dyEWjD+hRenSic6m4fyNocyn0EJ5LmCfoLNAQ186AL2PIyvOfzj3/sPxwxDw5/vRonF+lO7W1/gW/s5PGOPC9d6X6G0V2vqUsL8kMK5fncw6NY4VQe8JlHJiNTo/QgvnNZGxcWVg5X7rg75rZ6PIofT8T/so6yFkSHsktNXUkvdot9DXzkUG/icRHX2scyaKwCv2N0bf3zWAu6Pj94W/96O0S0i+y4PxPNB3clJo57sI4xcl86LMaxYA2iuEd24CAryOdWaL/w/6syU6l6JI1IkoonA/lALVb33e8ZxiRt6Fdvu/u/1/r0C7tVu7tVu65U5AM8sajzwGxeLjO8hjMJTOpPxIogUHWtAdUVLWOijNBGBBYInk/MRkf2CBHh27A0UXXAbsCXwB0cfFOlmTq5L6zVJybE5gCxQiD5qsb5zoPIJSN4r9OYo6ASeEv1ehSIiurc9nkTWxzixrp1DvEdGxEVG94wXeSqGt90Sguv1eK2cCelmoTzopfKREt2wxVXZsWJiAroAwZtLzQxDDyiVhovnVGbi3HKNHlmEo/L0JGRjnRwuku4HjE93ronf8W8XW7zPJeW8RJkqxrY2MH8fMYDs8UHWMjmEkaxGKKFibrjcZGfuWDn3rWODXiU7OwvhyZBQ9DBnvrigp5+64HcJ104XhfbFO+D81sjYafsOxlRE7yMvh7x8oMaIF3bkRFkFVO82G3vGViMax6Pyj4R3ZlGSxTmS4KNv6vf9w7ImS7fF++3f4uwKK9Nih2PopZzA38g0jtxAW+zU6N5ZsPQbLhjIm1fWLPssaWbZF5+cL7+AC0bEF6P12ZzliEJvN3Ij57ecIRPyOfp8Hik6t09kJRSZeCXw3HFuSPoxGg9FP0mNo/nQhAo5+HriABgNmxbVWGIT6DprDpt3++7c2laaVVlqZGWUpd/9SwCrAFQaaGzaayleQR/5XYf/2cGwoHQrWTdz9gOIH7v4PM9uUKJ/fBEy3KqKNHIO8qxcAa4dw8AOAOcysAH0z5IE6I6lPSrO7Pr00u2u4+wClqLuPN7Mfu/vuJtwSQuj3GETheRZilNgfGYJieT9wjSf0qYnOMyjsvQjTng1Fo0AnDeLHvHPJfobWAGDo7ueGMOrJAWehYAk5MuA+/DaUMxoZDwq2hwvM7Ax374uKOITRfwuF0X81DaN3UTEfCNxjAs+FwEhQUl4lpo2ZbeDuvwu57LEsY6K8vCw6tpe7n4gMaUVFR4djxX5TePiJNecGisnQKSQntaMxnz+zTo3vrXdC1wu53cx60psQLsLXkAGwinHkQTM7FfhF2P8S8FB4J/8d9GspVs3se+5+FHComZ2FUpDi68XP921XiskWKF3uJDPrAnLMvF4OZtHNZlaMYRuhiIerEp1/mZhhPJS9VFz3IG8W6ScmwN6/0Elties9MWBCLIue5SMecBjMbDt3v8AyMXtQROGyaAxbKbwn8Ri3DMJX2gX4qZldjMCl/4A83l5cIq0mWkT2c/94PhZJnVj45qyHIpN+DWyCInLOj5RmR5g9KUvILv3o5NYpU+9xRKt7Ld19+/jo/1qcJWvAozKBKw9B433PeU/AlZvE8/A8cmjd/2pm36V7jHgufKvejvQ+h763/0OHKSams82RRtpndz83/HtLdOxxInwjy8eOIaRG7kVvCuAoM3sfSsGbw8w+Rqe/DEdznqKMocD27l6JcWJm0yhPC02pxh/IqXeDlF2nlXeptIaRVlppZWaUrAlojrhYJqo++gUw21Azm80DkGq49myJ7heQ8WFiKPcZE3UpYaFzlJkd5e7fa6jS312gmv9EYftlkjO52sXdTzSzTyNv1vbIiJEaRsYBq5rZ0shIcwUCqNs00nkZLfquR22+EVrgF+CmE7x/cMUyub1ZZUByAAzPNlFDfjwcOsDdnwn/F9guuyLK41cBzOxolG4zYBjJNB6MQYuoghrwL6GOA/gC7v7DsBgo0PcHQGzDdQqA0q8D51sHfPTvdDBt1kXpHgVwadct0zHwgAxqqWFjp+TYKWHhfi6iaEzxPM43s63d/eLSO5fkPLdiEpyDZ5Cbz18nHq5V+95aN17PEBQ5MoJe2Sb8jd/fdGG8EzIY7BP2b0ch4P9GBs4c2QphcOyM8HGG0Xmn0+dbANnuQDWQbdb1LDDWoMXcNBSJMDHS2x+9K1MROOGv6c3DPxQZVBY1swtRBM5OiU6O4bdYHG1KZ4G1cTBoHI/SYKAb06hUcowH7u4oSvD6gOVwAfANM7sf+Ipn0DkHybl/TNhPe9DBELoJUQf3wwJyCeqTKyGP9s4mJp+UqncsSqX7NFpYb4tAPPvVietfRaGaY0SFTpTMrGGbERltYoqpYi66j/4Blt+JGJov3G1mXbTuhQEv9N3YEeOUO2KIvkfD6TVAEs7t6hFLUzj2I3cv6Ic3BH5oZldSQ/ucIbnYMaD7OjvU+e3k3KfR+7AIiswrZBpyHBV1m25mX0E4a6Xi7o3vfiut/CekpettpZVWZjoJHsuD0GR3PGEC6u43zUBZC6GQ/dRbFlMnfhctPMaEQzujNJFjIp173P3j1qEjnQu40xMQTzP7AL1RDjEt5s1o4nAvwo+4JV0gmtmCaHJVsMTcjia0L6OIhcesQ4V3InCTu19uJdR1UX2/gyj7yuhTexYusbj7eSaqyp4PhkegipZBwZkrZjbB3VfJ0Gtq76kIe+GNsD87wlz4SKRzK1pQn0u58QAzu8/dV7Vuatj7PaLOzKhrF8VwmBTj/VNLboMm2+ugPlTIPCjKYMNE/4PIW74VwtIY4+7Xp/dWca0yuusBKSIqzGx+d/+7iR76YJQq8g0zWxI41t3jKIaHUHrIE8jg2Tcgboic+AXN723Rbw0xjTyBMC9uy71WKGcjd78+GF8Wc/dH+vl9XG8X2OIj7r5sg+5yyIh2p7v/PHhrt3b3o/u5HjLe7YQ8+QNGGJ8BGm0zWwCl9BkCc62lN64p59fIYz41qhPePzXsVDrGg5UK44G7b5TUeTtkPH4OLeyuBD6KDMVlRsiiPrHxKOv+TZFAw+gATW8PTHf33SKd8xCo8Uthfz7guCTSo/jmTEAGpmnA7939Q5FO0Z+K78EwhDW1Rj86QW8tZAx7RxSqTZIToRD67bME5qLwbGdBz7mUfv0/KSba2yvqdOK+a2ZzFcaPivJ2R7g2b6D+30NXHN6RC939wrD/M5QqtmukM4Zece8jGij9LjXo3u3uqzfofNHdxzXo/AS9I7+k26AzsUK/ktb4nUrZvKmVd6+0ESOttNLKTCdhATKRzgR09IxOwFEe6y8RaNjXkfeyi4XD3Y8O3sNPhUM/8MBiE8nFJrq3eU0MDrsQpTCAvDnAlxGQWxHl4HSHsa5ropxcDXk6rzGzud19/kjnb8BeFZOrIsplgpmNR+CN3zNFr6QeHMjwOnsDg4eZjUNpRIXMjhbZ6aL5XJopOHPlKjP7BsJHKE1tCNEfX0LMILHX/ZaonDHIyxent3TVx90/ERkPJphSLbqMBwxOFJOF386G0h0WR1EPRT0OtyR9IJXglbwD0dIuiFgYCpmG8CbS3zxqZgchD+tPgY+ZLnpA8Cz+1sz2o3eS+nc6qQZlYfQDERXFc/GG1I4gm9TdoykVY8umKJbw3k6hw5zS8956Q1pDYfCo0wlydHj+xyIv+BJm9lFkZBmV8fuBKoW/d5jZcu7+UKWi+0PhuSxjZiugdJNso0h0va1RemIPS0swLFR6yMJCOl00FZTIi5kYYQYWM6aos62SBf8v3P3TSRmLVBnCrJyGO65TnCbxuru/bWZvBUPj8ygyJpY7UdTE5939z9Hx+8zsDbrfoa5LARv0c/9BVksMpr8L35dYVizaKNzTP0zpB7HcZ2L3OBO9h/8M9xJLEYXyUugjzwIpZXeODsiDPxgUqk2SE6Hg1DAXmdlV1Pfbft7JLGky2pnSe35OMC6h/lFlXNoP4WPUzWu+CFxpZm8jtruXYqNIqFMt7fN/QE40RWmNp/u7PNFCChyweNl3zLtT4D4a/sbpQ05EIQ5gGbTGOdJg0P5uP2W18n9bWsNIK620MtOJmR3u7ocA14T9IWZ2odfkpNbIAq6Ui9GudJCbzayHZs/dr6OC297M7nT3NU2RLK+gfPZDShZUX0C4E5ULZjNbB6VafAIBIl5Nt9e/y3NH9eRqVzS5GIaMFgtSjmfRSJ+aIUu6e5pLfULwZB4SHcuh4MyVIoolpjtOUxs+T0N7u/vxJgySIhe7NL0lw3hwGL1h9P1OSouJ/BUo+mcCvcaVxhBiVz78U3TSeirFzFZE9dwMpRN8NkxiF0aLrMuQcQlEfxvXdckmw0LJ9SrxDMxsuCs6ZlrV74Pu26YIp0rDiLvvGf5eC7wT2s+jUbs0iaEoro+j1AjcfXJ4n/qRwsC0BsLHqYyaMWECFewXhvrejh5FRGVe7wE01jxfcn7zjDKqDAfQu5hZsGTBX7YIv9bMNnZRHKeS4sLUSY7xYFl3dzMbbmbzuPtA/3P3pTKu0c/9A0w3s6Xc/Y8ApqipdBwcYp3UuiIyq2tOHo33p5nSSoa7+4Dh08yWB84IxqeDkEFjbhSxFUuOTnHN/y0K1SYxRFm+AB1j9Bpo3ITBwbzqtz5NsjYaH3KMS38EytKV0ii93VD6yu3A9y1E5kW6i6C00MLYdCtyJMUGwCbpB0PqIygCagO6nREb0EmB68EUSsXzMWbeMa2xmX0W9ZdSg3bFGNTKu1Raw0grrbQyM8qiFkAKg3f9YoRAPyNSeMv+amabIaDR2vSAEpkdFMlC/SLqcWSoqIskuAlN4I9CzBA9XlzyPHe7oHz+RRB7xRok2Bnhtw8RAa25+xNoMdiPeOI1HYKMMek3pG4i298F8xbkOe1dhOeWhugCN5jZTjQYD1wAuBMYnCimSvDRJq9kLKF9TwI+jCZ9Q4FXPQDTBTkJRcgc4O6vR9d5JhiCssEiw+Lqg3QbPNJFeh2ewUVoIV4WhZIaveqiWPq5/8bbytRz4N/u/nKycOw3H7mIpqkFnw1tfRxikHokHFsGeaRXCftDgb3dvTJXP1xvPDDJzB6g28s7yptBJxsXMYm8HaIong51HEl5G90FXB6ig/5NxzA03JMINjObO9TjnyV1qzUeBFnFlHIwj4qzlxBGU5cBJkRTLEd3/z6/z/sHGXNvNLPHw32NpNeIehxwp5ldEnS2BH5YVaC7P1lyeKx3UiBuofv9AQYWmGdl6JwH/CkY5d2UbjOaGiySdyKWh2t0DvoGLmVmtwMLoXbCBwfzKq3TUOC9dKdlFikbG5b+qEQyjUvfQ1Fjd9P9Tu5N9/hY/N0sbOk4OQaNq1uF/e3CsY1IxN45dgzhOkuWzVvc/fTwt690uAoZjYzC/3b3F4NzbIi732hmJ/RZ1mG8c4N2K+8SaQ0jrbTSyswouwAXhsiD9YFrGyb/dXKECeTyW2gRNRwhwfcjbuUo6S+jCINXwv+vIS9wyjQRh34viLw7nwT2DmGyd7p7lwcvY3I1GqXj3OXu65vZhxC+R5eYUkSOonfC3zNBbpDYa/oW8mJvnejsS8VENlesmpUF6AGVy2nvxkuifnEWNcYDM7vBhd1xTVTX4lg/14IM8NFMT+DJKHXrEmSo2gExcAyId1K3lgn9aYD9w90HIoeqFoXR+d0oN8Sl3vKl3X0rM/ucC5vmolB33H3z8LcpvWV5aqJY+rn/DOnHsPGgCTRwaHiv9kZpTQMSjBenAu919xVCxM4odz8CwN2PDH9zWDBm8Sj0293/EBasxf50U5pcHYjhkWb2IDKGduF5JPXOMjI19ROURnebCUvJUGTc10oueTyKeJrqXg52F641FhmyzcxeQHS1D0Y6ayMa1FdRVNjKZnZi0r7nAN9w91vDb9ZBi8c4OieHASYLVNXdbwj9o8CQecSTqDZ3P9/M7qPz/mzhNWlVFZJj1CsWmDk6X0eL5A8gcOnxdL9/gyWGcL8aI8KsgrlooKBB+r6Z2V4oIuw5uiMhVgzl/b3ip6nkGpdORyDbPe9krqE6yELuHuOMnGtm+8QK1hCB6h3mmhypjD6z/lLgmqTo2y8Fw+gtaE74PJGhPFMGw6DdyrtEWsNIK620MtNIEpVwIpo83I7SX1b2CmCuOvFAp4oMFz2eP+vQZzbJCcCfkXfG0IJsKRSJcBjwI+TpubKhPi8FT+KiaJG5Fr1MEzmTqzfc/Q0zw8TM8bCZlYE5jkETvp+g+98ZRXz0I5bjNfUaCs4+pB9WlitpaO8MceAvsZEgkUtCaPOCwYsfUxB+oFAK3sYHPQJGLJHCiLIOsJPVpFGQ6Ql0AfEOdffpwBgTaOEAs0p4HudTk46Rsygk0xBHPp5BnYzNXRw03X+uWMRuU3HsScRudSB6Zj8HfoNCvWM5E0UMFN7TKcE4dES/VUJpImfRYSLZll4mjtvN7GTqQQxfc/faRQsZRqacfuLu14VxvAD23KcisupPwANVRpEgZwD7uvuN4frrofZdK9I5FVH0roSM32eF+qwb6UwvjCKhjreZ2VvJtbakmQHmVDRWnxL2tw/Hdgv1qzLqLm2BattCOlkYU55F7zjh911pEhmSs7jLMZ4YUGBbzUi6andhZlu5sIaqjp0IfMiaI8LKKMtfRsa0YmE+GN830Pi2rPemjPYjRr5xaZi71+JJQZYh8kUz2w6NRyAmo/QeBhM7Zl7gYVM6clf0Gf2lwDVJ0bcHg9a40aDdSiuFtKw0rbTSykwjZnZjzWn3GWBRyLhmIyJ7WGwN8YSBxMwmu/tHrQ92kmAUeRh50W8F7knDUk2sNCciMFhDk6vR8aTNBCa6M6IO3QD4B5psbZqUNcHdVzGzqR7Q/C1ifAkL+vO9Br/FzDZGnuQxCB/iTGBlYH9XiklpdEch3h914P+qmEB+XwU2LAsPNrPRqI0XRhPdYqHxCnCmu58c6V4B7OUNiPmm9IIeKbzcwQBzo7t/NPnd5PiYmd2C+shZaJH1V8TetFKkMwFRknalY3jE+GN5zB73uvtqZjYZ0R+/aWYPunsXCF6ILBmHPK1jkJfyEHc/ra5NkjImodDnWu98zv1nXOsyd9+ibBzIGRtKyivaKWYvmpw+y4xyJqKIim/Swce5FTglNuBUjJldY6WZHY8WMVeSACZGOgXr0pTCQGe97FWV/cTMPhSMs6XtlRq1zexcFP1zbVKn4yOdnnE1PWYd1q1DkIHz7PS5mULv50CLR0fRSG8QDB/BoJvDAFNbHzP7vrsfajVMIWZ2tbtvbr0sXz2sJE2S+e3K1rEMppwZrVfJM3mi5Kdd929m16B3oOjj66HF9xIII2Js0/etjzrfCGzk7qnBrDg/FDja3ferKWMnz4y+MLMjkbH1KqrBxUsNke6+ZaQzEkV6rYn60x0ove7pSOdud1/d3gGjWlTWumXHfZBTm9Kx5x2WNScyaG8cDv0GAXX3C57eyrtA2oiRVlppZaYR7z+XezAkx6O2PXCmmW0NXBqObYkm19DB1ChjeCjSbY4Iho2l3b00nD2UUUSw1Hru3P0L4d/DwqRuBOXgsW+a8vgfNbM90eJ+ABzNFY4/0sxmLTMMBJ3xZnasu59oZp8GFkBtMhYZbYrojvcgb+7vwv76aKI2Q4YREyZMCuJ5eHS+kUI45zKIwvV2M7uSbu/l8e5+IkLi38vdT6oqJMh8yDt1T1JOF0OC56VR5HgCt0fe0T2RR21RehlghnlNOkaQHGaPP5tALn8FXG9m/0AAsF3iHTyDmynBM8gUp8E7Hx2rvf8wKf4WYiT4avAYLuudSLJvmNkqwBwmVpA4ImjOpKxlEJvE4nTjEMQG27+ZGIuKMWFLOiwmfUkwPp2M+sPbKALrX4lOzphZLDBietYUNPQ1U8rVZDM7JtQ59bzX9ZN9UcpMGVBpGUDpE2GbNWxl8riZHUwHLHo7hCsUyzRTyuV2wCfDWJf272IBeGhy/GNR3XJAXGtBVd29KP9wF5bTgFjANPDMdLJMKR2vE8mOGCGPKae6ELNNgE2BD1h3WsVwlH45IJn3PwvwYXd/LpT/XhQNtDpKrRhLw/etD3kcuCkYY3oMdeE7uU7Vj4POuWa2EPBVeseI1Li0TfgbR7elqYKNUUzhW1LJwBPejUHDjqkzgJjZCe6+j1UwBsXfQTNbouwdiY7dHo5tgdIA34P66QAWUR/V3szdD6TDloeJVv6S6p+08m6V1jDSSiutzJTStCgeROn5gJvZb1FKwM/c/Wp3f8DMtkVRHKeE39wFbGeigdsz/PRaNFEuwqO/jBZX/4+9L4/fbaq/X+veG9fQRYVU5q9IhjJlqigpRSokSYiizBWFStSXTPkaQsQ1C6mUkCHjNV3uNUQqpEnSJNccrd8fa5/Ps89+zrDP536ubj9nvV7P6/N5zrPPPvs5zzn77P3e673WI7BjzCYtQZFjAWxJcpHKhtbk6Las1uwR2rA7TPtfHwPHlwIPoiYwEDcv/H0vzDC5h2RBwd4+tP9yAMtL+lN4vwiqnXJaQfLE0O71YUbA5gBuTYrlWAgXmgLLSJocBq7zRgOwd8IpEg/AE8FKVxhJx7Kd1lzp9DAKENbZORYD/YgpiAQcwwrmwTLT5xkAdYJ3OekYrZPC3EBcqOfjGJ4YdMkvBzIsTyX9Ntx/i6he8G8y/J0KB58/wgPiIjDybgDbwWlt8fU+A8B+SV0XADgRvh7r3Dp2gVNAliP5R3jyP5r0BIY+8ET42iSAJUnuJDvxFIXmgyf8BbPmWnhiPiJ63BY8Ibkt8oJstdeJpE/lHCscbzyAlzetvgd8Ar6ui8Dq9WFbjC0BfBTADpIeIbkYbKk8gpw2KU/ENUdUFTBjKmVpfA9BNBcAWKFPlG4j+UEAPyt+y3Du15P0w9DmONBVhykcpJrVlgl/W51yWvAw3LekaRUzkOh6MU+vZdEiKBLwaNj2d5JFufT59g4MP99y8LvwagrUTQ/PyAtQfk7Ggf+L4Ov0SjQ4+rQFhmgHvJyAdRu2gJkSY6Idw7LW2hxwELLQIioCmDmOQY33iILGDIDD4HHTzIgA74vhIEjVth49+lSaHj16zH6omxRL2mEWHGuIskm7kSwCYE1J3+pQVy2FmBHVt2H/beH82a9Ufa7ErWEsEIIxle4q8WSTpoe/FqYxrwyLM16jckrGLyS9IXo/DtbdeAM6goHSH/2dFxbhfWvLfrcnbToADqAsK+n14be9QNI6tZVU19tKaw7lFoa1OABfs1UWqW3HykrhIHkDgHfUMX1CmTnRko6RlF8C0aSQZU2EISjRRCB5Ixw0LIkKdrl2Sd4MD7q3SFbnv6cyHX/EhlHSkkxsGEOZIkWkkUZOcjNJF7a0q5WiX0xCSc4Dp99VWhOTPFPSNnXbwvm+EcDGku4P25YG8BOV0zsuhAURi/O7DYCVJTWmtyXHzUm3uFDSZtH7JVBtH7s8gMskzaCFi1eBaevTk/puktRqNx3Kzgfg31XnMpznZ8I5fz2A5eB+Ik65qutPY/ZZYxAiKjcnakRVad2dN8KTudhmfBKAvSW9kbaznhtOD1kPZYbSZclvO5SClT6vQns2w3AgMv5uD8IT0clqEHgl+XE4GFhyylG9/lJdPZPgyfIL4f14AHMqckQJwdqXoXzdviBpx6jM8QAWw2ACuxms87U3gItzAl5dwXrnluIZmEIxG6TqNxtlO6bB/eh+8ALL5+BA5B3FQkRmPdNhZ6u/zGybKuomrAGypqQvZu7Teo8k5ad0fVZH+xYMpg/DWjbxsZaXtMZo6u3x/zd6xkiPHj1mR6wdTYoPJHkkzMbIBslDJX2BFUJwCS4I5eeC6fa/lPQwvPo1suoVBrQ7YJjFEq9gjie5hqRbwz6rwwEEIKESV0F28dijbRJJ8lhJu7XVl4l1ikkRG2wx4e/+JgAPSnqKtuVNB2hXkfwpBukfW8IrZ6NB4Q7zVAhm/A0OVo2AeRbCH4Qp89MAFE4zJVYIzSLZB8O/bUz/b6U106lWh8OrnwRwLMm9JX0PHRECAUfD6Q+CNK0c6AAAIABJREFUV+b3khSnEjQyfcKE5FSZVRKzIdJjEWY1LCXpIJKLRddxlcVu/DdNl5moFlHBttVySWuSfCfaV+e/inYbxufCvV2ktiyNiCpP8rNV/xdQmTX1Y5KfAfAD1OgCAPgNzTg4D4OUsiqkE4DxiBgFYVV8RhEUCXgQXn2PsXQcsABwIK0D0wU56Ral31k19rGwk84FNEtrA/h+OBFOf4hxR9vqe+g/T0VgcdHCm6nN7nUA3krrYVwOYCrc78QsndjFYiJ8Pacr0AdI+kHUjsdCMPSHzBBVDe+XDXXPj7J49Aw4vQIAdsJAs+h2oKRZdBzKqBIRTfu3i+B0zdtRb1u+Mjy5/k4IVp8K4LuSHo8LaWyccgD/DhvAE3nA+i6Xoyya28oIgwO6m2HgzHUGgAvlFd31AYBmr1WlbXTSIyO5FmxrXuncEurMCUhcTPK9ki7pcvyqJimPxdQGwc+Ih+A+6UJF6VIzg/A7/DDcJyOBEZIbw+ydxeHrNU5/yblHYtxG8jw4hTPuc3PSc7MZTD16FOgDIz169Jgd0TopzsB7SX4RLZRJ2c5yZOUZpqsPrTzDg/77YOr9QfDAOx1c7wjg1BBgIDzY3TGsauY43wB5k5RRraDUHrBsiwmSf0Viiwmv7F0HW+Q+JuullDQvJO0aJg8Fq+OkeLLREReHVdvD4aCGYPZQjBwL4eckiWQxMZ6n4lhnw4PGjWFXgW0BpCtsObTm/eEB/6PhWAvCgaGugRHCAYlvwYEdwBObc1GeYD6A4RSgkUmCMvRjAo6H2R3vgK/tGfAK8+qyUCQBvF0torIBZ5L8JJyqUgoeRKvljQ4/oXyj5SlNNc+xYfwqnPKzKMmz4Xtnu+jzytSpGhQU/XilMw0OLQdfR7sAOIXkxfAk9IbQ7n3hVeC5SBYTU8J6ESclx7uN5CWwralgWvzUYoIeJgdPk1w3qn8dDPrPXORQh3MdUIr0gffB9/9PSFY58kyE+494Apu6Tp2CFptdeAL5FMkdYCbUYekEW1JJ94TkEbAAY4ymIESWU5akiwBcRHItSak+SdGWLppFt9HCuQVrcRcMO3+8TtJ7mioJTJuTYZ2st8N9y1EkvwezeQpG0mJwMGPE6YvkYpn3fYyJcXBd0hO01k+MRr2WsJ/gvrOp/4zTsSbCgZTWRYgK/B9anFuYZ6G+B4D9SD4Lp+OORhMDsB5IU8A6F5SZkmvAz5D9Sd4L90mp61J7ZeXgYLEY8UxS7P8AfAgVVtw590iCSfCYY8NoW9pPVELSnQDuJHmOurvj9XipQlL/6l/9q3/NVi9Yq2F+eJBTuE18rWMdhwN4DB4kPQ5P9kb+JmVvhzUTpkfb7k7KTA9/7wp/XwZbl1Ydez4A8yXbDg1/t2hp934Z323aGJ7raTBlf/1o23oAbkzKrQ+n+FwBr1xfCA8KX4zrYc70fHbY9/OwdeqD8IrUTbBqf+n3j3/b8P/UpMzx4ZrcGcCvAUyHqelxmfSaGZduC9uPBPDGhja/Im5LtP3O5P3QtZRug1dZp4Z76rPFq+p6Sq7/9FhD36Om7buE++4hDAQ2Hwyf7RHePxt+j+LzOwHsOorr9hRYX+IuAMvAk5YTK8q+Ep6obwzgVbPwOn1X8n6BcP5fqCh7SEZ9kxtep4YyK4fz91B4TYdFNLu0e3pGmdY+J/wmF0f32/zh3r2zS3ua2pW2I3zfteC0gzfmXKvhd7k/2XYqzKpaOry+CeC0pMz4lnr3CX+PBXBM+qoovwIcyP148Uo+nwe2gb8tvA4BME9S5iQAK7a0azy8av6DcL4+C2BhmAX3q6jc3eFeugvu456HUyG7/m5TAKwSvV8VwE1JmXfCmh7XwLo4DyF6BoUya8J91xNw4PAFJM/umuPfOoo235Jec+l1Cz/7tocDZhPgAOsVHY9T2+9X3EsnwEGxX0TX7dSOx9svef8q1PRJmfXFfdDJ8GLAQkmZq+E0wqZ6FoQDxCeFe+9UhD5trF/ws+F7AO6F+6UHEZ5J/at/pa+eMdKjR4/ZEYfJq8MXhhXXiRhelWiEpL0B7E3yIkmbthTPWXkuVhweCwyLR2CldJD8mKSzUip+UZ9Mx89msLS0daxBeLB9ddSGa1JmhaSraXvU1eEgyc5wOsDRJG+QtC7LwmxF3VKH1bIKunr8GVSm2rfm10s6IrALHofZB1+RdEVSdfHb/okWvHwYiYir8mjNl3E4laiKUv0LACeRnAAPMM9VWSzz7yQvDdfLd4ERi9FLGLQ+5PSNHFG5RlZJ8f1DKkfBqlkQkT5IwDSSq0uaWvF9YnwOdl4a0q2RXY2OgwfrX2uppw2ERXP3hwMt5yLYMJYK2SHhHAA/kvRkWklULidVrg2Hwo49b4d/r/fAE9qUxQQAt5KcTw2aFsqg7suroisHFhOUpEeQ3A7AU5LOb6hmSsNnI1VllAH8Xd8D4Ag5HWURlBk2Rbtyzve1JL+Nss3uNQwpdLIF8B7wNf8DWRB6KQzsXYtjxW5h4+FJWSrkvRscPCy0CK7AsEBlKU1KUnofFQzCVNx4CKzRLIInrQjf70lEKQo1WBfAdrRD17MY9Lkxq+bX8Dk5XNKN0fbvxawIJRpY4Tx/Bt2xJ4ALSD4c2vNq+LcbgfIYYYfALIcLYGbCxwG8Pmlj3E+Pg4Mw842izTnOLQtKmhy9P43knh2PcybJ1WBdjhsbyj0E26KvQuuEQHYJKgnD0ro6JwBYWNIKJFcC8H5JXw/7HBz6hg/C53JpOEA2Kn2NnD4JTku9hOS1qLHiRqZIbSZLpw2TYYHqo+Cxy/aoZoj16NGLr/bo0WP2AxtETEdZXyyIeYsSITKSp8CWmF+EJ9q7wzanO0dldoRZEivBD9p54Un2ibRTxLfDYHcIsk7K4TBjYV6YGlrSaugYPBgSjM3Yp1I/JEycNoVXqGJbzFU1cCIByavgFcyb4MHJDRqFsGhGOyc3fCyVhe4uwyC/PrbNPDIqs5EiF4+wbWdJJ0bvN4a/06LwIGwSgK9K+nFUJlec8UOIhE7VkEpEcll4kLYVPDk9uQhQhYlOHSbCK2CtonKs0NhJt9GOS1vCQpmnwyvJX0rK3Afgf2CL3idRPQED7Uz0AdUIGIYyna/fijpG+oMw8JeqxTmLIMX74NXn78LCjc8k5S6AU+U+iihVTtIeHdo0HV7VnQ6nv9QGY5gnrLkkPGFfAuXAX609Z8VxpsHCpau1lNsEFnatdM0iuaGky1vquBm+jk9VOQ2vqmzr+ab1I+ogZepIkFw8evs8gD9L6pxuEdJBNoYnmKvA7JiRNKmafcbBLlhpwOpuDDSLVg7PqLMkvYvdbE8XTz8PZX4bPh8PYH+N0tGNGaLhNfu9DOWgR6dUhvi6ZRDgDtvTe+Q3GDxHn4cZaAc1/SY1x3sVrOm0QajrcphZ+PeozFUIgeywaSsA2yvRS2o5znRJb87pA0neAuuyTA0BkgUBXJ58/2vhwOO3NRCX/rmkFaIyv4E1Os5XXvpKU5ta7YjDM+AJDAtwx2LuWSK1JK+AA9vx2GRrSe/q0ObbJa0aX8vMENLu8dJEHxjp0aPHbAOSr4a1Bs6CB8yxBsGJihT7O9S5Bawfck2o762w+vn3ojJzwyvPG4YyP4VTd7JZKmEAuruko1rK5TBY2o61naTTMsuuCK9CvgL+bn8BsK2kn0dlFoBtMdeFB5nXAzhQwbYxlDkKXo17Fp78XAfTo5+OyqwJU69nhPcvhyfqt4z+2zZ+t9IAsKbMjfAk/2fh/T4wZXujqMw6kqYk+5W25UxkM9o74sQRrpeN4cDIovBEel3YzeEjLfWsDE8kt0TZwWgGgKuT3y0ryEi7BbwTvkauUmKP2DYBi8r9AGYBXI3yauHuUZkj4ADb9ytW3bMQJk47IRLnhINkqThnUX48rGfxSQDvSQOR0YSlcEF6GRzYyrFEjdu0XjoJrik7MtmLtpUmobRWxikYnmA02XOnx5kO92d/hYNosdBpPOk7C05JuRAObNxXUdeQ5gGAVyvSPAgB5CLdYIgNFbdrDM73tjDbolE4ualf6hKESI69ADyR3lrS+OSzc2BG3QtwMG4SgKMlHR6VuVXSGiRvh1exZ8CBoeVIrirp9hDUG0LV709yoeT7/y767FZlOHCwzHgcBwd/Xinp3W37JvXMDafrLC7pkwzMEEkXt+wa1zEdPicbwNpSRUrtdkocpcYCmc+AxeHA+VrwtXIj/MzP1mDhwKWutQ/MDFhPlbQ6y65bpWcVSY62n61o043w+CBdjLgwKpPzXP46nK7bKFJb89zt5PwT2rwuvJjwM9iy+BuSlm3cscdLEn1gpEePHrMNwkB3O5g2OxUoKfafrjwl8rTOO+Hc/5IgZtfBFfNsEXMHoG0MltfDq0CLJ8fqpLQf6roRXjEsmAjrAThY0tqNO5brGHHBCZOK7WDtjldLmjMqNx3OLS9SMsYBuC2dhGce85Uw/bUI1twArwT+LSpzEoBjJd3dUM+r4JXdvWGK/3IAtlIkRpoTPMiZyGZ8p2IyeBQcFPkZgFOSieUvcwZsYRL+FoWV2DBRW1QDm91Wq0LWWPAW0LAV77oAlpE0OdxH80r6TVJm25q6To/KzIDZRy/AQqGjYU19H2aw7KKyOOfxFb/TXLBwZjHJuFiJq1M0Ub0OTh94BNYqSF136tqzD8wkmILqCfbuSflTYS2WWFjzFZK2i8rcIil1c+mEcJ0sUPGR0u9GM2+2ggMbwiCwUQQUTkAQ6ZX0hnDNXS5pdSRgAxsqfD5T5zv6bkXA5/OIhJMlfSEqV9svdQ1CcDhN6jwlNs/FxC1MbFeBmYi3x9clbUU7U1asoZ73w5pFr4EFoReHAyxvjMocBWtipYGxaUldMeOxELO+UB0WCEI958ET54/L6R1zw5PgLpPZaXD6x6Oh7XvBKTLHK3JqIvk1mN1XWAMXQaiu53GmWaok95XUKLIeBUay+sCMgPWlAHaFLehXIbk5gB0kbTTaoF9L+1uDEiQPg8dYtQyz6Ps/F151338sWDqrw2lR88OplvPB6do359bR46WDXmOkR48esw3C5Ol0kpulg80YJLdVi6VthHEqp3z8DUl+KZ3zux+Ggx7xBCvHFnEKraFQOwDlMIOlytL1Atji8mQ05N9molU/JAPrkNwVZtusCg+YT4VXjmKUVqZkF5fRPme+C7NSCivSreHzugEHmgETAGxPW7pW5tdL+muYPFwJ/3abRxOktWCq8oLJaukkDGyWC6QOEbti2CGiDYUzw68BvEnVaRa5ud+E9SzeD5+H2wE8SvJGSXshz6owtuAFBoPnISveMGlaDabHT4YnK2chcUhquy9JXiip1gmGDRozof7CAeRDIdB0ffTZDSRLKRIkz4fP6WWwHeq1qk4XOSlM9L8EO1PMC2tOxHXNqUgHIdn2C/i+aNWXCMjRtDg6nPfLUWbfTEM+KCm1MK6EpMdpp5K5YJ2ID8I6TcfIDiqtmgfACDtnufD6KywO+1k65bBgQ7We75zvBjMaTqFtzq+FdUlSHZzafkmBXRQHQNIgY7T9IQzSpPauuX8B4GU0A+YDAI6T9C8GV6yoDa2aRWy2PS3wNVik9MoQdF0fTjeIUUxk43QaoewIVEp1mEksLWlLkluFep8iywJeOdCAjfY0zGiswgRYr2d7WFD2OJjVkYWOz4A2bIF297nnAKCpDwztGg+znJaDU87qsAssYLocyT/CqUTF71+knxzR0qYuyLEj/jSAz7PBmaft+0f4BPx7HoUBS6dT0EsDXawnuu7b46WHPjDSo0eP2Q5NQZGAPWBqaQ5yBDHPhhkFJcp6glZbROQNQL+EdkvX5yWd0HKsXDxI8sso5+g+OIp6JsJODberPj//QZK7w2JwgFeCR3MsAFhEZYHOr5MsBPw2btuZAyHYYpI/BzzR35xmFk8K2+aFn4XxQO1xmLYcI2ci24bC3ndHScdXFVBF2kENBDv1PE6nL5wh6QCSd4V6hqwKownfP0KZrAlzwAcBvBnWooGkh2n2UFcsFdryfgCF8OM1GtDsqyxRCwhlm8Zr2S7OeQrMEGoLMJ6JASOs6FsWTsrcBDMAhrbJejQ/Zo2my9AXyRPWXBHANnD/UfRLQxPaFkwJk/RPIzrfsCbBiO4DyU1hJtj/wKl3a0h6NKz23wtPTlpFegM7YRNYs+lgDdhQh5L8ZVFOUmG9fR3KdsdFPTnBbyFDOBkZ/RLJa+AgYhxknCIpniyvpIY0qYgx8G04SHYngOvoFIyh/WihzCXCMUHyf1RmRdbankb4l6S/kRxHcpwskv1/cQFJ69e1ORy3klEQ7d+VWfAczdIqrpOlUb+YUIeHcgJDkvYleSWAWwD8A8DbYkZJBro8A9pAklelbIZ4m6JUsYY+ELLV+i/ZYpcs6UF4sWAeeBFoRvRZERB/k2wTHbdpD9gNKPeLxc/TRjvijKDPG+E+ZWsAS0r6GslF4Wd+yYo4BMc6M1vCccb6uu7xEkCfStOjR4//OrC7tkOjICaDq0pLHa1pGxnt2BbA51XWERgH2wKuyEFqw+4whfgHKK8Ul1IbMo9ZpR/yVUmPdagjFrpsymVfCLamfEc41lUA9tQoRFoDO+NWeHUW8CB1DUmfH027W8otrkQro6X8eJiJ06olkez3JByE2xTl9BYAw+kWLXVNg1kbG8IT+f0lTWWS8lM14YNp7XtFZVqFZTlIfSio4PPAGjOltJXMdl8Op5KdHTZvBac27NuxriZxzvnDCnolAyWZgIINQr7soH1Udc0l908XYc374bSn59JydQgBjkcU6fqQ/A58rRSBhm1gu84dozKnwdoi11XU+U7ZRSRH82B7WORxiE3ByIUn43u03ruBufJlDAsnHyjpR1G51n6JgzS3HeHg4QHpvTQzbSY5IQ4o06lUKwG4B1HQS2URy6sBvFM1grihzJUwM+UQ2Ir1UTjwvnZS7n0Y1mE5KHxWpBF9CHaQOSu83woWqt0LHUA7ynwJdty5HGaVbSfpmoZ9VgPwsKSHo233oyUwRLvqnBDavCKcNrZDXE9mmzs9Ayr2nwgHZwC7DcV9xGVK9NFIfgMtfSCdZvZm+DkYM1DjPuJgOC3ksfB+AQCfk/SlqExVnzTTAthVIPlGtQsvT4PPVW1aHsl9JB1G8lhkpCbWHKcyPS6qIzsw1OOlgz4w0qNHj/865E54M+u6CR7EbQUPmONARGwNey+8mtpki9ja7nCMlVBmsNwl6QssK+ynkDrk30fHbHUlyahjOizy+U005LKPJTjIQS4mBeMwGByWVqhq9l8OPsc7VH0uaVrHSWqroGIotzisw3FlWDWdoIFGw7oAXgfbusaiqcXxTg/lxqHFzpHW2DgXnhjeIOkztFXp4ZI2i8q1TviY55DyeQDLAChsND8B4Bw5xSIb4R6YAK9i/jtsGw+7c8RtWhjAwQBeI+fLLw9gLUmnZB7nQJgVsB7KzKHivv1EUr5WMJBl7aM4VWYGgNMkfZ8Zmi6hrmxNC5I/BPCpLoHFMFFaEb7uNgrb7lSiqRRvC+f/SrUwC0LZRs2DUOa1GNZHGgq4tBwnx7XjOEm7dqm3oa670RJkzKijuNfmg/WRCjbAtbA+0j+jsvdKWr6lvtVhxkSt7WkIUD4D/x5bw/oJZ6usxXQinMa3Pixkujms51LqG0nepsS9qGpbDmiNqDVDu25WhX13Uv50+Ln4K0lbhm05gaFb4aDLveH9h2CmUiehdpr91Cji27L/HgAOC2/joMzjsL7OcUn5u9DeB+b0EUP3SRS83goO5K6Lctrry2HHn2ydjlx0CGgqtDEWjY37pE0k/ZgZmlWZ7ZoDA6vnzi5JPV466FNpevTo8d+IzvnKDZgI550uB6+qxpT1eFV5I8w8KGlvlhksJykwWBRSG0hO1LCd6ESMDvvCmiVt24rjVNlLHg3g66jJZR+L1Z2KfUaTphHjs6EtR1Z8VqQjdMnBXl5OW9kawKUIgooAYqeJTwL4FEzlXxoOgpwITyShYCFJ8hdyqkslZA2Eb8GrhXVlCibEBdG2BzHQZCkwgeQi8IR9/5rqxlVsK40PJB0RVoIfh3VGviLpirr2NaC4d+cHUDCg5qsodxqsZVK0+VdwwCErMBICQNPgFdlUR+WfJN8k6Y5olxtJrqgKRpjytI9yNF0QgiLj4YDH1i1fY34A99GaGfHEOA7YlXRPJO1X0X+8QHJpSQ+EfZZCmRXzAsl/s4XRwYG7y7fC+0kk36IyO+UbsKDovdExBKfMdIHagmOSdg3f5WjYKeTfcGrTXuFeKNp0OoA9klX1I5Pg2EGwe88NISiyFKwF1KnN4e+pAH4O33OAGTqTYfZDgZtILl9M6Gvwv7AuwkQ45WP4gGVmTt1kcW3Z+ecu2Tr+SLgPSzEPyaWKc0fbRWfrUZFcTtJ9DKlssIsMACxGp0r8XTWsDEnbhjrifn8fAJfQlrSVgSH4eoiv5e+H8l1xNty/bIxIxDd3Z0lHhyDVjA7B4sY+UNK1NFttDfjamirpkaTY+LgPCMH4QhD9Rvg3eBXKz8EZAEp6NmOInLGZ0JKWJ6cmAsBT6SIOK1ITGxtkwfnT4fQ2AliUTtXr2if1eAmgD4z06NFjtkKYmG8u6fyGYlMaPusKwdTjRicQSb+lbVLfGjZd3zS5bThWwUSpdNihGSxzYljL4MaKbbWIVrBfS/KY6KNJsONAXHaIDUFyhA0h6TSSu6o+l71YNc4Vnsz9DqUc/NCWLGciSZ8KE+MvKbFhjMoMCS82oFVQEdYcWQOBUi3p1zSNP8XTtNr+wrJrw0oA3i/p61GZq0huhmY7xwVh+9klUD5HVRO+KQ0TvlRYdhdUCMuGQMhogiExvgDglQCmhxVhwivrqd7GqySdT3LfcOznSXYVIiYsFrwaLPBJeOJzF4CdSV4AT1obhXwZiTKyLNCI0LZvqkLTpQ4hELE4yTnUnCZzQMNnBap0T9K+Ym8AV4fvRpjNkYoQPgHgbpJXoEzbj4OaJyT1PlGx7YOwNWtXTYkURF5w7Bz4uv1geP8RmEkVu/mspCh1UBaNTYOOP4snYDVBxpw2AxYfjfc9kOQdSdkz4ODII6hnIL5G9SymGySty4H2Q9wGqcyoKyzVnyL5GliAfJGKaveCNXri62Snui9bgc/CgeGqYDQAvDKwArYhuQ7swvMkyY/B19DRSeCkNTAE4FU0S+q1kt5TBM+QGUCN26YWEV/abeXr8Pm8DGa47CXprLDYcV8oN5S+V/HcOgQtfSDN8vsK7F5WCLUfJOnUqNjZ8LNicni/PUKALJzL38Ln48VCbhrCMXCq8EIk/xchLa+iXKeFnRocCWBDSb8EANr171z42dCjRwl9YKRHjx6zFcJq+T4YaEtUlRkT+nSEG9tW72iq7CcxCGicRfKkDqtDQMtqSlgdWgBeLX1zVH4SBo4muchawQ5oZUMAeIzkvPDK79kkH0WYQBWrO13prU1gTQ4+agJKddXALgWVzAsO3G0qkUxScgQVn5X0HIMBA+18UVX/yfBk9dvhOHeF4FQcGNkJnmi8QLLOzvEimCJ9JWrci8Jkr23C1yosG9gCxwJ4AzxJGQ/gSQ3bK64D4KsYFkxcKhz/8lDuGjjHXgC+ULES+iRNxy9WFNeENUC6QDBrZxVJT4R6DgDwE3gicjvymGBd2EtLkDwE1leIKflpGtyDsDDqj1AORHwz+r82YMeB7slcbX2FrA+yDMz0AUwlfzaq613wfdV2b+W4Tj0IM+9mNjAyBXbBaQuOzS3pzOj9WST3TsqMI7mAgugwreWUtvvmELyYDODSqmAkyXXSIGuyrbjPnia5rgYMsXUwCE4UOAUOyjUJfl9CckNV2J4qaGIpj1l3Ma0bdDgsniw4pSat87JwnRRpKPd1CXBJ+lT4W5uSRbL4LicAWDksNnwutOcMAHH6SG1gKMJpmAlmWYQcEd8NJe1DazI9BDOAroP1TbqIRkPSuVEfCCR9IC1QujeANyukRYX+8EaYkVTUcyidllOkxXxN0k/jY+X23S8inpN0NsnbMUjL+4CitLwuCzsZeFkRFAEASb8Kixw9egyhD4z06NFjdsSVtKZBanvbWXw0A4RTRO6gNT7qVu92gAfqTwIAyUPh1dougZE2psu74ckOYD2PAjNgO+Fs5K5gk7wQeWyITeFc9r0wyGU/KKnralSn0nRx0Siwptpz8M+UtE3DtnfCCvp1zItWd5sCko6BV7kK/JZOJ4pxLcn94Mnqu2D3ix9jGHNLupVlB8vSYC9zwjO3pC80FQirYyeggZ2iPIeU4+DV+AtgBsbHMcjZjnEKfI2UREwrsBYGgsAT4NXDGJ+FWR5Lk5wCYEGMwiUCwEIoT9L/BZ+Lp0k+qwzBRXWzMZ0MMz2OgjUdtkd1qtID4TUOg8BLEQTKYQO8G9Y9eR28IlpcTI+joq8IE9w6+vyhytNsqnV34SCN7im4L031mkrpdMxLk7kmIzh2KckvwvbehTPRJSH4UTwzjoQDH+fD52lzmI0Q4/UANoC1c44JZU+T9KuozLEYZueMbJN0cNj2aTj1ar5wvL/DqRkx/qJIILYGhe3pcxhM3EeCoyxbujbhsPD7X0jyYjhg90xaiHYg+iyAxSV9kuQyJJdV5JaSg6iexWTm3jIwi+hiSRuGYs9LEi0WfFxga6R6ULWBoQhjwSwD7Ho2HxykKUR80wWEYs70PgAXSPpn0YdL6mwDK+lPcB9XhTNhZs+MaNuMsC2t51JUp0YVyO27Zwp0CtUEDlKp0nZOC/fle8PfRzHQWgPJV0RjvC4LO224jRagLkSFt8YYs1t7/P+DXny1R48esx1CgCLFyKrzKOprEsRcAeXBR3zA30Z13A2n3DwT3k+Ec35jh5k5MbD8jFMbSgGElrZOA/C/arcsHhPQQmiT4RSHO+FB32IAzpL01qZ9K+qKqakT4XODb8+8AAAgAElEQVTxvKR9RtGuU2AdgCYWT0noLUwU7o4DKhyIuD6PgUhhyrxoasfHZKr0UAoFUF7hp9PAdoBFHAngp5JOrqjzUgC7woPrVUhuDjspbJSUq7VzDJ9/HXaYSe2n4zLXIrBTNBC5KwmN5gS0GEQYGQlSslr47xZJb0nrSsocDwsZxwLED0hKWSoTYJYDMQrBPJLHAfgznGZxUdi8CTwZORLW92nT+Yjrmwj/vqlAY+wkcrukVUneXfQNxbakrpkWRQ777CPpsGTbkpKq+tC6OqbDehiNTBc2uLuwRiQxqqfEJgv3wGRY6HTl8FtPT/rTVeBJ6gqwZseCcJrlXVGZpu858swguTY8KRTs/nFT3U4h4HkW3G/cGf6fBGBPOOBVYBKADyoRto3qmRQaUWXVezysMfFj1Ah+54DkRQB2U4Ola9pPNmw7D56EfjwEUeeG+5eSMHNGm1rrCf3SZXDg8G3wJPnO5Pcv+u5aa9jAutgMwBWhL10TDvQ1OpKMBrR+zgdg9s8a8O93cdrfscEBKPM4n4UDSz+DhZQvgq/bTWGh9u2isnHwdA6YrfVkco6y+u7MttWmQLHZJUyS3sGOAvMkX9a1369o85wwA3LEmRDA8Zr5dL8e/x+iZ4z06NFjtoOCCOlYgA2CmCQnSfo5Bza5TZgM4BaSxcr2BzBM170IA8vPzg/dMNAgTMev1DLoWmcGpAY2RMWq9UhzkQxSFTQ7IkyhXQNGg9oc/LA6WDAzikkHATwH4KTky9UyLzJX5ou0hBwGx9YAvhsHQ0huXLHiukto53Ik/wg7HZUm6By2c9yDpu3HlrZ7wIyYyhXlgFZ2CoDYAnkkoJWUeYpW9r+DzrX/E6qZEFeTPBymjscTvmlRmXcAeIPCygwtjlmyeAxBiM8gspkmeaIiUVGSDwC4GR7oXq/EJlIh5S5MwtcJm3eWVKwWZgdFAs6EdQTeDbOltsZAX6fAsyFA9muSuwL4I4B5K+oai9x5wCvBhyXbvodu+fNCBtNFdsf5SGUFUeAjXCfLhXp/qWodldaV/rDC/HY0BMfanhU0c2t5ADvC1yQBfJvkyYrSIGlmysfg9JY/w+llPwLwJjh4cSI8Zo77gcdRwWIKdR2AcO2SvAF2pYlX++eC748No21DKRdtwVE49fKe0M+WLF3ZId0qYGlJW9JuJpD0FJOOIxM59WwJO6bsIOkRkouhnLqZy5obC2ZZLrPui6Hv+6esE/QUHKyI66l0AOrYnJfD917BKitwUVowPkfhHG8KM2Bj5PbdOahNgVKGq9UoxnZrkPwqalIzcxACIN9EmYXbo0clesZIjx49ZjvQaR2fRjQghFe8O68c0HnjawC4JVoxv1vSiiQvlrRxzSpG1erFKohWHSRNTz6vtfxMylUyWEjuBKfbVIr+qRulPws0Q2UjzIQ1aqhnAZTP3zh4cnaMWoRta+q7Hx70lnLwVWbxHJIECqrquUqJLWHVtob9D5WtlFtX80k+Bueeb6WQLx2vzFYEu+ZCZEOsMvuk1c4xs/1Z7JSK/W5VsJgN7xeHJ4xzwFTm+eBVt/uT/apWDaUy++RiALsUv2Wo+zhJm0RlzoeZXAX9+aMA5pe0RVRmTlhk861w4GNZeEW1EOIcU3Bgx3pXCNC9DO4H1ozKrA4HS+aHrVYnwRbKN4fPs2x9M9qyHLwqfRjMCIrr2VsdbLRDHyDVMF3YwXWK5Hth7ZwH4P5gSQA7yXT/+JjXoGWln3afuCz0jV+CV6e/ngTZcr7bBLg/K9Ig5wFwk8rWqL+CA1+TJf0hqeMLspbD4tE1W+XeVZS/AgPtCcABtPUkbZDb7lBPGhzdCma77BuVqbV0ZYbNdHK8G+H0wynhN1kawLm512SXesJv8EwIMLweDqRdmj7jw3NlGZTZF9dFn28Bi0svCl9PbwHw5S7XSKgnh1lXmyIUlSn6huLvvOF7dWVf5tjeHitpt4rtqdV6Vt/dpV0kvwLgj3IKVBX7aAUMs8/OSMq0Bf1A8j5UpGYmQca6tp4v6cOs0RLr+izt8dJAzxjp0aPH7IgTYEro8eH9NmHbjqOoq1YQMwRFCK92VFKRaVbJ4zSr5KHwKj6Lc2KBBsvPaJ9aBoukb4cy9yux652FyHV/aMNVCMKxoc7nYSZEmjeei5wc/FsZWYzSAoPrSfohzTiYG3YtiIM2kzDQcRlBKLMoyilQ0+B86C8ibzW/+L7fI/nVEEiJg0XF6t6y8ITnovD5NqheVWyztM0ZXOawU2LGVBHQKh0vCkg9A2AoQEfyQkmb5awawufhF/Qqt+DA5W20EClkO9oVVNaYuZpkmlb1AsyUeQEOnj0aXrMKxaTtsTDwfwTWMAEwErzaUtLnYTeNKt2BscqdXxbWyJkfZeHHGbBIdBc8BODVrGe6dHGd+iaA9YtJV5gU/wTDGgg5K/1flnQByXXhifYR8HOgMVUrAcMrZqO8gGEq/7KqWSmUdGj49xCSte5dERaR9LXo/ddJbllqFPk6OE2oYDJdD1sKx0GZ96IcHD0dwHS4LyraVivQqzyb6aI9hJ9Dl8F2pmeHtm3XtN9M1HMdgLeGfvdy+Hxuiahvol1Z9oCfkXfATIibYMZZgeIaWQBmaYzmGgHymHWT4Xt27fD+j/AzIe5zcx2A2tDkVlVgHZYdcMbBQbCYVTcewMFyymBl390RM2iW18cAvC30GSUhU1rgej04MHIJvPByA8wsKcpUMSLXlpTqI/0zDap2wB7h72kws/AP9UV79DD6wEiPHj1mR6yuct72z0h2tcYtcC0bBDElieRP4FzeKpwDT0BuRwWrBEDMKlkXwHZsFnHNsXT9Ock/I6QIALihmPx3BW0/eHTDti/AmiYzbY2qMUyBgq0Mz0FzDv4Bkn4QffZYGJT9EHZ12RPAa+DfLhanPK7UcPJr8MD9QZQdcN4BD/D/AWBeDtJ2gIpUovC+oP+fS/ItsANA8eGB4XjXwU4phc7NV+HJY4wcO8fadBuW2SmXALgaA3bKZijTiuNre7QBrVVDm1q1WGALyjZMI7lmxLR4C4Yn5o/DjKJvAjg5ZxVxJnFSmIB9CZ7Uzwu7+QAAwur3unU7hzJDoshFUE7BNSUHki4CcBHJtdSglxHqvx12sjin6hiSPkQzXeYGsDvMdFkfFmns6jo1I1mJfhAVGk7KSJPBIJjxPvj3/Qmtq9MFRZpQWxrkMrTg9xIoB0fjSXiOexcAXE7yIxg4q20OsxpiTIafLQUD6mNh27uSco3BUTY4jjDoIyEjNTM8B/eGJ7Rrwr/JHpL+mu7XhA71UE6x2QFmLxxW8YzfA+7fbpa0Ps2SOjgpMxbXCAD8NQTxivS+zeGUkxg5KUJZDkAkvw9fg5cWga8YilhoLYiDos/DQc6R9B7lW4PnojUFCr7eV4YZjtvTQstnJWXqgn5pYCQnNbMSsrgt4H76JPg+Og9mT/659Zv2eEmiD4z06NFjdsQLJJeW9AAAkFwKzQ4XTfgiPMm7G54sX4Lhgco0kqtLmpruLGnj8Ddn0p9j/dlq6Srpf8KA463wgO9bJB9TRxG8gG0BHJ1s267YJulykvtxDKxROQbU9wg5OfhVedITACAEfo4muZvaLZU/DA96hwaOkvYGsDfJiyRtOrxrCX8K+/yV5LsBHAoLR6ZYGOUVwefCtvi4OXaOTSvK2eyUMQpoFb9Fqy6ATPOvFUQOWBVmYBVMrsUA/JKBFh2CjVvBwcjPANiRpvBfJ+mqMfg+VTgTA3HlIkiwcFJmemC+XICy5kMqqnlFYPtMgCfXj5K8UVJXx4Xfhwl/E/NgS5i9MpXkbfAE/PKEIbFE6P9GmC7hfr6F5I9RrTNUfLf3R29vI3kJHBQQPPGfWqxsF+ch6ivuKfoKkmlf8UeS34aDBYfSqVOdtREkfTPcS0XQanslaZDw73Ui/Gyoe9bkuHcBZuzsicFkcBxsP70TBsHUBSVNjvY5jeSeST2twVE0O47ME/5WadxUYRqApSSlQdquyKmHJNeCGSJFEDb9bZ+R9AxJkJxT0n0k07TMMblGkMGsA/Bc6KuK5+TSSLTEIqbQiANQzaLG8fB9dgzJC+AUrl9WlGuE8txwWq3BOxzvEURBdZlpe0ZS7GnZyvt5WoD4UZiNmaKVEYkB82e1uBkos4ba2nwggANp3Zgt4cWyP6hjaluPlwb6wEiPHj1mR+wNrxQ8CA8IF0c1Lb0VYdJ4MoCT6ZSB1yUTAsAP361J/hYeOFQxPRAG9yNikJJ+mByryD9fCFFubYJr2WLpStOs14EDIyvDwpQ3dPneYVXrowCWDAOiAi/HYDBSYEwE7FCmvm8ArySNhtacO+C7jeQ3AXwrvN8F5fQEAHiE5MtbgjU/hwdptWkYGUERSHpf9P+/4et474qiZ8BpQPEK9mkV9bXZOQI1g8uO7BTQrh1LoLxang54m/DX+Lh1oFlJf0VNOllU9D1tB4xYE8vBQck9AewDB9VmBXLElSfC9Pl44D4kqglgvsA+2BHAGZIOoHVluqKVeRAYHPuT/DLMfjsVDj5Phh0l/o5mMdgjOrRnIqxnUGhf/AX+PTZB+TzkpMl8GL4OjpDZYIsguZ/ChPnZhm0PhXMwDZ6w1+F5SSc0fA5YO+Uh2KnmuhDcG9IYUZ5o6N9ose3CmWkrJFasbcHRqNz9JMdLegHAZNplaF+F1My2ezJC1nNwjOrZE76+fhCCY0vBrLYYfwjsix/CgcR/AEjttVuvkTbQ6SCrSdqA1j4ZlwRpCxyAjFSjtC8lOdSXSroSwJW0RfBW4f/fw2OVs9Sip0br/byO5DFVn6tsj11rDd4VrGYoPSEpDmzcFn63k+G+8gk4BSpGTtAPykvNzMWjcPrj3xClQPboEaMXX+3Ro8dsibDyU6wO/TIe/JJ8l6QrMuu5Bs7nH1mZha0D94rKLF61r8pCn60Wo2EF+Eg4feNROKDzC0VCiKywdAXwnThYQ/LfcM71wWHy1xnhOy0JD0DiAccMWKDy+aT8zFqjTgcAWZzyENg29xyO3hawNQc/DGK/DAdhAOAKOOjxZFSmEMFbF8DX4WDNVxRZLJJcDZ70/hxluu77ozIfghkgC2GgWyCZsv5/kvasW1lPVtSL+laBA1+AWQ7pCnYjwvk+DMA34AnFyOBS0nlRuV8CWKm4f8J9dZciQVySZ8IBijswWC1XMrhubU/O70yLYY5DjSByVG6DMHmI991WZfeTC+HA4QOwZsENoc5Zos/DDHFlOpVpSsa2u+E+4HTYsnYqIzvNDm26U4ldLMk7lLDLwmrp9jDL6Kdw+lXBtrkEmWKwtLtFwUgYTT+xr6RDOBCybe0r0kCzIj0oZlrRNrSn0NfZHQ7ipJT9NIic7j8h7UvD9sYgeuifjwWwVihzI4DdlWhdkXwtBo4cRZti8dHr4P7vO/Ck708AtpMtkCsnzVE9pfs75zmYg7GqJ6nz7XDg9zKNTUpIWv9tklbLKPdKDFKEblaSItSlL2XZCelhDO7JFeFg4aGyXlFVO7bF4PpaHoN7dwsA90raOSo7JtbgYb/bUMFQUo0IOsklAExSZLEdfbYIBkG/W6uCfnQazswKw38G7t8WDO0+X1KqV9WjB4A+MNKjR4//QnQc+BYD8B3hPP4D0glIWAW5J1pVnwTbid4SlbkPZYvRcWGfN0Rl7oRXiq8Mx1wfwMckVeo1cMBguSvZvjI86HkbnELwawDXdhkMJPW9Gp6ICsDUYgBC8h2SfsaygNsIFNH/WW1pPEMDnYRXwEyIP8Kr1avAQnS3phO3zDZfAa+EF8yIjwHYWlKag99WT+sEjOQ98Gpw6oBzbVTmfgCbKLjNJMdYVdLtbHCI6NLmHHDgDtA4uCS5PzwojNkp50k6JCrzC3gSXDsgILkJgJ+oIh8+fL6hpMsz2j0dwHOS3hL9NhMATEvuyetgptTn4VSA78BpaJtHZVaD89hHm2bXCSRPAnCsmsWVsybqdCrJl2Hnjk+HFfPDJVU6UjUc7yqYIRIzD7ZX5LpEa4w8BmsaXJgEma+C79uDUNZ+mQHgakWaJCTXgwM5D8ETw0UBbBtP1DPaW1y3F6Olr6gINC8G4D5Jb+TAivYsmBkXiyufKGm5zPakjmRpWuNSUdmsSVpOED2zbYeGfe9BpH2UBGyrHEe+JemBMHmuhfI0Y2YJAlOgKoj8jppnTVymMVg1yvZ8A2aynYdyusnfSS4np/FUjjkUsQ9z+tJQ7gfwQsSZsEPQn6LPbpO0Gsmb1aI1QvJmAOsWwTlWO2XNVPAw2a9o28gYqiqgWRfQ63IuQz2XIgjDh2DfBLjPr9OEq2rzIfAz747cfXq8dNEHRnr06PFfh9zV6VC2dWU2TNZWSYIet8UDB+ZZjBaDhjsBvFnOsy2t6DKDwRLKzQsHR94KBwUgqXIlruX77wBTgH8GD/7fDuAgSaeSPDAEiiZX7CpJn4jqeQieCP0j1DM/vEL5ZwCfDIGBuWFa892yqOwiAFYsJswkF1CmwCSrV71L25oG11GZnAnYVEmrp/Ukx54iaZ2WMvMg5FeH9+MBzCnpqab9RoNogrkShlNgUhvORnYKneO+ezw4rzjeWfDq9oUATpV032jbDeBKeKL+cQC7wayFeyXtH5UjgM/BukCAWT7nJtWBGbaQMwsO7B4nwNahDyIRV6b1EtaGUwSOinafBOCDowkOZratlXlAcilJD7bUU8l8SMrcDuCjCloItM3quZJW7dDeIhjW2FeEsrWBZpataKdiENh4HMDp6T2Q0a654OtwhOUBB1iejspkTdKaguissTwuoLL1cYntVdPuNnHt2RIk42tmIqzd87ykfZJg1WIoP3N+p7EV+S7a85uKzZK0FMmTZHveHCvy1r40lFtfUlV9cZkT4OBfrV5RuEbWKoJFtJDzzZKW5RhZgydtqmUoRWWKgN69KLNm3t/lXIa6pkpaPR7zVY0NevQYK/QaIz169PhvRJeI7kEwdfyGEBRZCmZgxGC8whMCGmn/GFuMAl6lTy1GHwsBjesAnE3yUUQDmoBWbQGarjonPMm5HsDbNHoa8j5wkOZvoe5XhnpPlXRAKHOQpNLAkGQ6+LwCwPck/TR8viE8mJ0MC8m9JQQARgZtYXAYDxCvgoMTOWjNwYfZBAVGBtdJmcYc9DCQvD6sKv0I9cr3t5E8D853r3PJuQoeND4R3s8FW1GujbHHcyRPBbASkhVlJHoWatdXeBWAe8O1XZlKJOljNJNqK1gosnD7OFfV+fh1IPIEkReAWU4PwBoki5Ms3afMsIUcI2ycUWYOmNkyAWUB2sdRodcTggonAFhY0gohwPV+SZ0cNUK/MJSqlWBHkodJeiwcewEAn5P0JZLnS/ownO9fFWSMU3tepkggUtKvwgp1pyaHfZ8C8H2SC9FC0wCQBtv+JelvJMeRHCfpapL/F/bPtqLNxOnwb1Wkn3w0bPtwVOZVynPvuh+e0Bd99qJhG5BneVzgQdgKtTYwggZxbY4ixe/FgqRUC2pK8WwtAh8kT4Y1SC4J7zeCGW+zoj21wRZJnwr/bqQkTY+2hUd0jl+Olr40YPkw2Y/vya0kHR+VydEr+gaGtTq+Gj4bK2vwGNvAqZC7hjoWhZ+7MT4A218PXbfFuVS+dsiTnHlh+B49stEzRnr06PFfB46SBtpQ3/cBXANPVACvHK4v6QNRmco0iQKy08Y8AJ6BByhbw7TmsxXZiDKPwbKgpL80tHdbZdKgaaeO9RTysmmNgGskrR2VqaLa3h6vBDPRgAjbCv2OrBUcdmP6VK2E7ybp9y373dplJSwwGKoGWulKYA6rppXl0qFdjXaOocy9kpbvWndFPdkpQGGQug3MjPgFnDJwjNqdf4r995OUWm5WlfsVgG/IzKa5YH2X1ZLr9m4MbCFXZrCFVMd0q7EEycU1YJWNAzCvpCGBTpLXwgG6b0croa0aJhX1nA5r78QTrCOT67KK6j6SiiXpT8zTWToVDsAVbitbAxgfHyujvQVjpDZNJip7JTzJ+gaAV4ZyqyfXwMEAKoM+uW0K+w3dS+k2mu23GYArwrlbE9aBeHuy37Vw4LwUREfoZ1ROhZnkTcPBRQ40dK5CeZK9Owfi2uvCwfMCLwfwb0nv5H8gxS8XLKfLjINdqI5RWfuo6pkztG0M29QoQF3znCzuo9bxQbJf1bNitHpcr8ZAtPgWDadTvkzD1uCjEXrOacuFsO33FpKeaCh3F7zocb6C+2BNuVXhYOUKsAbYggA2n1Xt79GjZ4z06NHjvxEP5RYME9qq1bJ4ML8z/PD9Uih7FeyaEeM2DGzoXg9gOXjSOiI+qCD6GQa7P0Y1WhksTUGRgD0wsAttw/2w5eZF8HfbFMBdJD8LC4lOBTAfyzojkzDsqvMnkl8A8N3wfksAf6bTRSon7hXoyvTZViH1JgykjwAQT/iqBtd1tn91YM7qlfJccp4kuUrBNAmDuqdb9qlDjp3jTSSX10wKybVNkEjeBIv4bg8HQs4AsIakR+mUiHvhIFYjEyIEMkTyIzXtiNkJGwB4O8mvSDqI5BHwpCVGri3ki4lDSO4MU8inAphE8mhJhyfl5pZ0K8l4W2MqSw1WKoICACDpHyTTydV4Rk4tIdA0ZyhfWEznMNI+DTs/Feke18PX6QhIvjIOBFegEHz8GixiWUqTScpuCt8/e2IQaD4oKbORpP2KN+H7vxfuy7tgGsk1Jd0cvsdbMMzuqHLv2gLD+ErFthJofZzJcCCDJB8D8ImESfEj1LtS3Qiz8V4FB5gKzABwFzBgZfwnAyANuB2DdJnnYXvcVIvrYdpJLA7EPTwrGsMa0VQAZ3CgZzNXuLdiPZu5gfxzTPImSWvB9+QIAy48R+dIyuYIkBPuK5cK/eRiJNeQFFuyj5U1eA6WgplOd9D6RaWAXlRuE3gMcT4tNn8eHCQpiQ9Hgb1RC8P36NEFfWCkR48esz3CIPJhSQ8DgKRKsdAaXBz9PxHAB5EMriQ9Ciut1x1/X5gO/9aw4nI5POnZEh6sFeV2AnAgzBr5N/wgFzxYKI51ASJbTDn3v5PgIgYDsxwUVn0FCpebl8OrtAvDudubRGVmAPhkUs9HYa2Swl1hStg2HmW6+VhhJUV6JLIIXjrhyxlct6EUrCF5saSh1ImcQSo8gbuA5MOhTa+Gr5HOUJ6d4xlwcOQRJJoXozlmA4o0paOUCG1KeorWsSlwMgITInx+F8lzYEeg4rwWIpSxsG4aNNsXvofeAU+GZ8ATwFgLJscW8sXG8nKq3NYALoXThm6H3ZBi/JXk0hhQxDdHOe0sF+MYafeEYGE6tjsbwFUcsJ62RwiskpyB6oDliOtSsUHSsySPgwPH/4YnKalDyM0k74An/ZcWE7+ojoItVJsmE5V9MjBZlpF0egjCjU+OVxv06YhVAdxIspiYLQbgl0UwL9xT98AaTSOTNDggW4LMHlwYZVHk1Ar8VACfkXR9aPe68DlbKarndNa4AIVA1m9hRl0jSG4MB6IKMcyh3/bFhvJ0QraCnzk/gK/R68K2WYHVUC+a+m44Pel1cB8U69nsV1G+CcWCw2UAziP57fB+p7AtRqsVNxyYTPvJC1HuJ8fKGjwHQnNAz4V8/R4G4DCSy8BC1Iciub9DO78Li6fWMkt69BgzSOpf/at/9a/Z+gUP4qfDD8eZrWscLHbaZZ9psGsGYLHIfcL/dyblfg3noTfVNRkeFJdeXdszhud2PID9XqTfcXqHsncCWCB6/wpYqHGs2zQteV/ZRlhjZXt4YjEBHihfUVHuZTDtdwVYk2Fm2vZKmB10GzzQ3BIOzlwTPr8fzh9fEp70LA5g8Vl1juAg2sbhtVBN2anpeQRwR9s5rvgdplXUc2f0P2FKePF+CTiYNsuv45ZzdU+4Bi4A8Pa03VG5pWAR2qdgceAbRvPbwQK298ET36+F/7epKLcRzLg6AsC7R/nd3gfg93Da4bUAfgczNuIyhCdu54br82DYzjOt60pYk+W4UPZoJP0yHJydCju6ABa+vSop84Vw7nYIrxsQ+ueO323xplfVNdqw7cNw0OJ0OHj5G5j+3/UeWC/Ucy0cFPgNrDcFmHEIeCL8ePSaAeDxpJ774YAL/9P3R9SmXQDMH71fAA4Udanj2DFszwUAFmn4fBzsijazx5kW1fdpAN8Lr53gtLS47B0V+6d9aWM/Gd7fDWAReEFn9bDtrln0uxbtmQMtz8Fwb+0DB45vhVPgmspMhXXFFnuxrtP+9dJ79YyRHj16zPaQtG2gjM47BtUtA6eQdAEBgHae2BoDVkK6WvgAPNFpQiuDJbc9WQXNttkfw9Z5K4W/L5D8ADyBaarn9fCgZImknliH40xJ2yT7xdveiXwcCbMhCnbNFgD+N9TZyBhSN0eK9FxOrywFLCgp1hk5jeSeoT11tsevJ9m1PQh1xnaOm2jgcnAeLc4LAH+R1LgyN1ag7WWPgCfFBHAsyb0lfS8pmsOEIMl1JE0Jb9bG8L30r0AvL+pZEGUrZZG8BMCK4f1DM/0lxwbfhlP97gRwXWA8lDRGaO2R1SRtQOsSjVM3AdsRSDojXA/FffghVaRWSboUZrCUQHKSvJpcaZGqsjXqkbD20v1h36UB/CSuV5LgIOIVIT3mLACfoR1mviipYPTkpMnsAgvw3hLq/jXJUt8t6dCwqlz0LV9TEIjuAjWkEpF8dUiLq02lSLA/PAF9NOy/IBwIiu+VawNb4Fz4Gt8SwDUMNqZyOt6RADZU4gIEYFVJ64ZysdBvHX4P4Ofht5ld8ElJ3yreyClQn0SSmtWCRpewHDBTNFVO2dsLZl/NNGTdqBMw0DWrQo4AeWM/GZAjQD9WICtsvWldtOuiQrfAAeTzYT2SStcsZTJLevQYK/SBkR49esx2IHmQpK9E78cBOFPS1g271dWVUsUfgVcZu0CwAvu+sEr+PWFwcXVSbl+Yjn0Laljo0y0AACAASURBVHJrlTgokDwXXuXsgikdyp4NpzbcjXotkCmBIn8eyraAsZPJBQBOhN1DqpwYAOCN8ZswYBsRcE0mWY1omfAVaT8LwY4vPwvv14dz72M7w07BGtULSTYNUt8e2rBJxX5C4hLThnC93y7pg1WfS1ot/Ds9pKn8GPVOOWMBwpoNbZM9wJPZkwAsR/KP8Cp3qh2xA4BTQ5oQYOve9LwfA1PoFyL5v3AqW6obMY3k6pKmjvqbjTEkHYOBswkA/DYECOIy/ya5D5xTn7pWdQLJIwGcIum4hjIfgicTC8G/ZZxKcQ7MAIrT0kaaiigNEMCMIigS8CDMUIiP9Ur4994GtvLeDWY7vQnuQ5YEstNknpX0HIMOC+0UNjS5rwv6jCHiVIpvRttnoDqVYpzKqTN/w3Dgr7A3PSDZ/mb4O74DmS5AoZ9dGOWAdazVsA+AS2hR2LifiL/Li41WjY0XCUfA1/yhKDveFNtiXEny8xh+TmY/1zBYZFkHdo9J05vi++0TMEPwKAwEyFOtq9Z+UmOTvjv4Ak5XW0zDmleAx1a1Ab2o3Mdr9i+Osa2CwHzoJ7YMrxfg67lHj1mC3pWmR48esx1CLvyvJB1Cck54VWG6pK/+h9ozohZPcm7ZarKq3K1wkKMUhFCDgwzJZQH8RNL/RNsWhhkcr5G0EcnlAawl6ZRRtP2GYnWxoUwa4AnNLrFBSi41yf77whOEuTBgzBDAcwBOkrRv13bngOTlsEDrn8L7RQCcJundUZmSk0AYgN+tsttE6yCVGS45JJdUhe1xui3zu7U6FDDDKafD8YpJ6pVh4DuhYDGQXAG25V0xKj8OpmxXOkTkMCGKwIikfybbtw2T5eXgwBXhFIpfJOXug8VgfwtPVGaVxkorSH5M0lm0qPEQ0kkoyW8A+CtmbpIFWjegSPGaDP9O6fm8H2Yd/aKiii7HOgG+R86H74Et4HSaK0Pbv0+7CZ0JiwX/Idn/C5IODf9/Eha4foWkpcNq8ImS3hmVPwwOmn0cDrB8BsC9kvaPysSB7zngVegnNQv0M5hpDUzycDh1pQiibgmnLnQKyDPDBYjkbnBw5c+ILLtVdjm7HNbfSZ9LB3Zpz1ginKPFEbSI4FSS30v6XIc6xsydrqouDrvFVfXjaTCjeH5X6suQXEHSz0PftRcckHwhqqxJuDht875hjFTZT5LcR9JhJI9FdUBx93RbxjE3gYNJc0hakuSbABykstNS6bzVbWs5TuH2UzBLLoBTqSuZJT16jBX6wEiPHj1mO9BLhGfDA7n1AVwi6f+a96qt64MAflZMFmixxvUk/ZDkoZK+QHKLsKpSV8d+MDvkFNh+czGSKwPYSdJnonI5k9kqBsu+8YCb5KXwJGd/2YZ0AhwY6mxTSPKdMLshVYjvymL4Kuz68YOknr9HZQ6ZVUGQmjb9QtIbovfjANwj6Q1dgjU5g1TaFnVPJS45ySSl1fa4w3c7AhYS/b5m8YM6c5KaNdmrCQz8E2bA3JHZnqwJDzMsZl8skNxJ0rdJpgyAok0HJuWzJlkdjr8sHCDZCmaUnSzp6vDZFEmtaQe0g9ASKDMPYvZVVSAubvsnChYAG2xoQ113IKTJREHnkhVruJ93gO3NCacDfKfufgjPjU0BrCnpi23ftyvCs+MrAN4WNl0LTwqH7L5plk4RkL5e0g/C9uwAWlgU2CWuB8DxCkKzocz9AN7SNKHmKGygZzXCb/sp2FEFcPrVdyTVsRGr6hiVvW1Sx6fhgNtSKIuUvxzAFEkp262tvg/DQsvXwNfsWwEMpRySvEXSW4Zr6HSsabC71XI1n28i6cckt636XA0LNg3HvB1mM13TcN+Opa33smpglvToMdboAyM9evSYbcCQXx3wMng1aQockEhTO3LrvEPSm5JtxUP3bniyd3vbRCysXGwO4EfRgKA04CR5MJxXm6Y2dF0FnippdZaZKkPfI7Ous2Br4XtQXlH8RFLufXAqzIhNr6SDos9bJ3Ik31ZRBkqcTMYKdPrPMihP1u+XtFtUpjVYkzNIrRqER9fRcvC5OwxOWyowCR4Ul1KMchACaPPAbjvPAMNOEmywxu14rNZJati2GSJXnmKyl5Q5B3Z4KOyqN4btQ5cAcIGkwzLa0zjhYY0eRoGu99vsCJLvknRFZtnx8HneHrYrPh+eTD8p6SMkj4Ydkn6ImuBomMwUziu1/URLO/aFJ7iTEWxoEdKkVLahHbnnontoAizcuFL0nc7Q6NInZ3rCXFPvhQB+joFV+jYAVlYHlzTauWw7DDuQACgH0GjW1TNFsCCckzkVMRZptt+7JNVaPdPMmyslXZ7bzhcT4X5+naS7om3jARwq6fMN+20n6bSZPPZ8sPDrIbCDVIEZVf0IzZ5bHuXn5BnR53fCv0cp5VDSykk934BTx76P8j2ZPcYhOR1mbO2mxOZ2VoHkzZLWTMYmKbOmNaCXcZyCMTInnPazBMoB21SPqEePMUGvMdKjR4/ZCUcm7/8BD0KOxCDvuiuG7BQx6PsuC8eYl+TjwIi9bqWdoaTfkyWtznR1q7ASjCfipTz9JgZLtM+TdK5+kX+9JrzqPhqsLmnZpgIkT4RFBNeHNUQ2h1XiB18iz14xDgpMhCfbxQrTmEPSrmFl9q1h00kVk/VbSc7Xcr6vDoyIpkFqky3qsvDENMf2OPe75YgqNlnjdkGulsOFsBVkE14HYBVJT4S6DoAFOt8GXwutgZGqYyeI9TAWg+9hwuf/dwByrtVZgjAR+iSGB/Jd05sOhYMMbcc7Cr7mrgJwsKTivj2UZLHSOglmTW0Y7Zpq36ypKL1slNgC7gMbbWgDrqWZeHORfBe8al8E0wpR6MVJzqFhS+ARsCx4PA4Oyj0zk9+jDktLirUZDgxBxWwEVtHOKYOoBlfBjIonwvu5YGeRtaMyD8KirT9BvX7IpwF8nuSzAP6FmufbiwmS18COWhPg+/lRkjdK2gsY+f0bU0BnNigS6vgn/GxttQEOfdl68JjkEtjp6QbYeahAjr4MABSB+NWibV3HOIKDOvfQabxxSl6c2tIqnN4B95D8KKwRswyA3eG00kGjHAD5Jsp6PF1RDLQuQmAcIrq+e/SYVegDIz169JhtIGn99lKdcRvJbwIoFPB3gR+ykLQ3gL1JXiRp05Z6fk+7Z4gWwNsDQClnPzN4cEA8eZf0WBhwxRP1z8KChUuTnAJgQThYMRrcSHJ5VThVRFhb0kph5edAWtDxUgBgveNK0f7vR/+XxEdJLgpgVClQuQjHb0oLyjnfOYPUWpccSRcBuIjkWhq4bsw0SC4AM2Li1cmYfTO3pFuTYF3tynEDaiepHE79GmkeqidXC6E8gP0XzGh5OkzMctDoulTcZyRPhsWQLwnvN0JZQPE/gYvgFdIrUS9SnINc56m7AHxJ1SKuawCApFSwsQo3ZfQTbSCAF4qgSDj2DSSrrskvwmkyd8P6EpfAQdkYD8LC0D9CedIXT7jiPud5mLHX1pePFk+TXFfSDQBAaxM93aUCkscAeG34OwSVdR8mFgHG8NkTtEhtjN+F1xyoES9tC7KSfKOke3LaP4aYT3ZD2hFmBh1AuwvFmB5++wtQ/v3HWlw6F5vDornTJW1Pa4mclZS5jORPUWYxDgkDj9FYh7BLSxtyhNNzsRvsuvQs/B1/CtuEg+T5kj5MM3GrAusrkdxD0tGMXMlqUHz2Oknvmck29+iRjT4w0qNHj9kOdErKYZIeC+8XgD3uU1eKHOwGDx7Ogx/WV8DBkRFI2pRlwbRbJP0lqWdnAEcDeC2AP8Ird6V6SH68qgEx1RbNDJai/DSSb4eZCATwS0n/qvuCLVgTwB10KsyzQKVAZTG4f4rka+BVrkXCtplxXPkDgDc0fD5TYLPbRoGc8906SFWDSw6DyB2Aj5IcWnnU6ETudoSDb68DcAf8O96EcrAmxxo3B0OTVEknh7bnMFdinA3gFpIXhfebADgnpAXcS2sLbC7p/IY6cl2X1pQ0wsiRdGlIG/hPYm51FNmsQVaes6TJJN/PQRrbtZJ+HD4rWFI5KVdnwMGRR1DfT9SCToOcCOCnrLChTcrGaTInN1T7QHiNg1Nz0mOOh3Vujspp4xhgZwBncOCm9A8AlfoNDbgdZkpMhJkH54XtWwBIg1JPklylYK7RlsGlQEwm86QNZwIYExHTDphAi2V/GJ5oV2Ei/CyK+7zOLl9jiKdlR6nnaQ2dR+HUtRFI2ptlfZkqFiM4NgLrF0i6tqkAyZsAPC+pyRY4G3Ia1/4A9g/33zySCobWHuHvxg1VbA+Po45FwzUnadfw740kV5R098y1vEePPPQaIz169JjtwGo9hzFToK843haw0vo1aBBMa6ljXwCviTZNhJXip0naPCp3Kpx3HzNYXiFpu6hMFTvjn7CbyqMVnzW1q1WgkuSX4YHKO0O7BIs3fiV8njOZBcvq9+Ngi86H1FHALhfMcNvIPN/zwc4OraKKNceYFSJ3d8OBupslvYnWMTlYkZ4BbRl9Ekyt/wdsjbu1OoqPFqt4GdtWgQf8AnCDpOk19a2OAd1/iqTbks9v08ByeNQIK7PXoyzy9zZFrkQvNkh+HcCNBYtlJurJFaA9BGaGnB02bQVgqqT9ojLXIqRcqV4f6X6YqZY6l2RdS7TWxWoAbqv4WCltn+QNAN6hhjSZzOPeKmmNmakj8zgjfWCYFEPS46OsazocfFpXQRsksBCvl7RmVG51AN8F8DD8XHo1gC0V6bXQqVv7YFgfKjtNoup5O6sRnrlfhvuRz4S+7HCVU5VmK5A8Hhb0/giAz8EpTnfEjCwGQfdkv6ptrQLrmQHNtjZPh1lsjcLpHeo7Bw4QvgBgKpymd7Skw1u+byF0fy7cT7wGZbHbykAsyXth57GmhZ0ePcYMfWCkR48esx0CpXZ1BbEu2j70No1OxPIKAFsk7JPvqmzpmiWY1nKcKkeS+cOx3hNtmwceEG6AAYPlfxVR4el88bVgJxzAec23w9oJB0k6M7ddob51YSvWyeG7zasaC1la7GxiGhTImcwmgYHn4aBI7up/ZzDDbSM534DP99eT8z0WooqtYoFdwIEA7x2w68SzJO+R9EYOO1rMBQeingSGrWEzjlV17ZYmSyS/Aq9qF6u1H4BXLCsH6SQXQnmi9rvos7Gyqn0FygGt6wAcOJoB/1iBA9HcmdJzIPn9nOsv9JVvkvTv8H48PMGKxRBbxZxJ3iRprS5trGjLfpIObimzrWzFfAbMJqtNk8nsu4+ChbrTa6mzUHcbcgN6tIXuWQp6RBWfrwBr9axVXKvhu92sRA8qBEyKbUPMQdqK9zxYQ2JnmMHyl3Ri2tLeWbboMDMg+To4YD8i+AxgDyU20P8JkFwCwCRFgrFhe6vtb9iWc0+2BjQz2jkN1iFJIY3CAatoI8mtYcbHF2Hx+ri/aTwHJF8Np+C8HwnSQGzOwk6PHmOJPpWmR48esyPOBnAVB/aQ22Mwae2KVxUDawCQ9I8waYuRK5jWhCpNgCeBshBkmJC3WUlOAPAGSX8GRmi3Z8BaGNfB1Oe8RllPYzV4cD0ZnkSchcFgEyQnwroSI2wAkidoQJEFgCtJfh4Nk9kw4ZkDwOvDpllts3cbyfPQ4LaReb7HQlTxBVpzYKzwhxBY+yGAK0j+A0AxGCzSCpaFWSUXwdffNkhEc5tAp/18FMCSdC5/gZcDSIMLW8PBomfCvt+AU3xKgRGS74f1WF4Dr1IuBuA+eEW7wJbhb5yKVhIpzkG49vZoLfgiQt1Tj/D/2DvzuNvGuv+/P+YM50Q0I3NJNPBkqCdCpSSEkqEoUuJoToRU/BRKR6XMp+jJUImQIfMRMlNUhibFo0fHlPnz++N7rXtfe917WPu+93Af1vv1Oq9zr7Wvva5rD2vtdX2v7/fzAZC0JnCP7XvScSoH5QjR2eLzmt7i8SolV9en1eCyo1buXNNxBbtbUCQxg7iWdyyTSSxV4dpdTCRzl4qJCnV3o+s1MPEi4Jo0KT0O+JWzVUjbt6Tz5/qUaSMiuHdAfhCFnsingGVt7yJpJYV96VlZsxfYPlaR4XUJoRd0Td9ecZ9RKjtUc3bhGG4uOzweOJkIyAJsn/ZtPPCBtkGNMhkTwqs3pf1jtr9q1kpZjNalgVUE1vuiIeVq2mdVmT8F6zYHjrT9pBqi3ZXeA9v/BNYo3yuUg36p7Z8lrUFDYP0y2zf28fXU1DRRB0ZqamqmHLYPST+sG6ZdX7H9qwke7hlJyxQr1mmlp3xD1kowrddUeEs6Mzv2PEQNeVP5SZVVUGDpIiiSuC/t+z9JvWqNbAG8DrgOwPY9ksoTkVmEg8rMtP0BIviyddbmfem1fbz03NxxZ31i0nM3cbO/dFohHohdLxXcNtLEo9UNeD5xmrSoYuIG9Uks0PYW6c8D0muYThLxc9IVkHQp4QDzUNo+gHCAqcpsYoK8JM2OUA+Rbvgz7iEyQIpg2YKE1k6ZrxB6KBc4bFg3ICY0+Wvry426+uu2MNmxvNL2bWq2HB+jQgbDHsDqkv5g+31d2uYczPgJdjkQuDtRcvVKSX8n0tLL5W3PIwIinZxr+uGCpPTcKtoYT5eu3csy/lz+sO07mzqIsoxB0PUaCGB7X0V54tuIoP6Rkk4BjrV9R2pzvKKcohB+/nyaMBav4dXAfkSmYJHJ83fi2pIHRorfg38oLNfvATraWbdgUuVMPVKUPbYquSqzlO3js+0TJO01gDFVQlFKsyKN+4SPStrI9u5EAOccutj+quFsVkVgfVIaUpLeGv91F07vgaOI68dNwKXpnCwCOpXegzS2txD3HXfT4V5B0gzC5asY648k/cD2TGpqBkBdSlNTU/OsRtI7iEnBJTCmH7JrOdCiZsG0y9xCMK1LP9cD+U3bU8Cfy2m/aq2fUi5b+C6x0l44oLyXEDL9LHCWe1C0V6rBL9JbFaUlV5ZSX3/nklVneZ+inCnPKrkMOMr2f7I21wIfsH172l4Z+LHtN1Qdb79RCBYWLES8l0/Z/lzWZg3iJm068R35P+BDva5MZRlOOXbvVq1I+qHtHTrtU9ixru5GydmChBhlR3vmiSDp50R2yvnE578xkZ3yN2is9CqVGyjK017nECu80VlZWlpx/BiNEpiLiXTxnoJ+qY+jiMnjmNuCMw2GYZFu1ndNAYoyrhqskbRYEejqoe+XEJ+NCX2Rf7ZptwiRHdfT8dNz9yYEhzum/1c4TnEdqlIm0/XardZp+9cO4ppT5RpYar8GERh5B1EWuTZwfn7t6dDXdcAz6VzK3+/yubRpGsfSRGB7GlFO9ovS8ZoyHXr9fRsFki4kMkSKQMS2wE62N2z/rIGO5zYik7MIVMwD3Gq7ssB4/n1V6Iq0FVhXaw2p7W3fXWqXC8df7UZJ8JeJe4hPtxjKRH+X9s+PQSwAzWv7S6V28xKZU3nAOi+nrHSvkBbI1nEqfW11/1JT00/qjJGampopR0ornUnUoC8AzAs84h7r9AFsn6tIU98VuJ4oTRh3I+s2tq+SDiEmcIfbPrX8eEZXhfhElQyW3YE8UDMLOD3dkPVq83eKwiXi+ZJ2AXZmvC3mdZLWtv2bNKY3Mn5F70TgQaCwmfxA2rdN1mb+4kYHwPYf0iR4IKhCDXqLSfIVkprKTVIAZA1NUlSRuEmcUZrsHdb5KW1p0tNJN5rlyd4s4GpJxSRnc+CEXjuqeL79LP0ruLjN4f4taVGi5OskSfeRZc8kvkeUdH03be+Q9n2kx6H3zW1hstjeNf1f6fyUJKI8aXnbB0paBnix7cqlUBnr0Jj0zkfz54RKmjTRNXMIbYCqJWNbA/dOZgW76D7937VMJl27X08EFAD2sn1/6vuVxDkyvbQiPo1M26bPVLkGFqvcOxI6OscQQt5Ppon0Hwmx1G4IeCIFY4r3ewWarbBxo6xmDm1+G7pkOgwVNWdVjsN2rjuxM3Fd+mZ6zmwi0DQq/kQsWBQljUunfb0gGAtU5awsqUlgPWVCbdQpoClpG+AbNITjZ0r6rO3TbBdBjH6+Zw9nfy8EbEIjC6gY0yeIsrB7aQg5G8iDGVXvFUSzxfDTtC5brqnpC3XGSE1NzZRDYYv6fmK1Y03iJnNl23tP4FgtbU97WMG9mcj+cHllskXbrvax3VZB0wT4gl6yQiq8ho2JtG4R9e7nlx7/PbFyVazoLEPogxSve/WKWSXHETdCuUvIvBNZmapCWnU+mYbmyvaEK8vGWZs8rXweIrjw7TyrImVavJfxJRm5bkGV8XTNBqpwjL0J54PnEWVCkCZJhPXj3qX2r6dRf32p2zjFdOmzn+fbIkS5TTHxnw6cZPtfWZumVe92+zr0UXyme9Int4V+kc7fdzH+u3R4qd33iHPlrbZflYJo59leix5oMel9H3BHPulVlLusSeiHQNhp3pTGeKrDarpbP9cT50jXFewuxznS9ifSivEWbi6T+VmL7I+XAcvS/F5eKuk9RCBwM6IkoeAhIvNkdtUx9TD2rtfAtO/LwHFuIRAp6VXu4KKVtbsO+DywL1GSeR4RAP6Q7YuzdssRZVivoPk92ixrM+lMh36hKKGACPy/mMZvxbbAvbY/2cOx9rZ9cJ+H2Km/S4jMjKuJif5/EQsIc2BcUKfdMYqMqa4C65IOAr5eCrR/2va+2fG6CscrtKp2ZPx3pGcb+RavZ0HinmL9bN+fCMHwf3V4XqV7hRTU/SCNYO/mwAm2vzXZsdfUtKIOjNTU1Ew51EjHz5XMJ2QpqAq2p12e/w2guFl7lBTsKP4vBT262semdi+kkcHyPOA+Z7W1KYV4S1e0i+3SV1f7QLVRfs94kFi5O7KUVbK77R2z4yxIZLuMlSQB33Uq9eg3apHGX94n6S4an9dTxGTuQCc9kdTmXNIKOs0lGT1le6Sb1PWd3CjSBP4SZxaMPRzr4IkEJiZClfNNkbL/FRqT1Am5raRjXUeUUdyRtpcHTusWeMyen3+mZewJuC30C0lnE4Ghsu3tl0vtiglS2zKJiv11nfQqtGjeafvhtL0ooUXzDiJrZNXxRx7XT14CMG4Fu5yVUqZFYKhKmcwhRKDnVrKV59Kkfx3bV3Ybfz+Q9CM6XANLQdhx9BKwy74fLyCC+SJ+w+7P2ryaCAwfy/jv2yVZu7PSOP+ctpdNr+PdVcfTb9TC4afVvi7HGKqbThbUaYkrZIxmn+uvgB09XmB9WyLAvVqbQHvTa5Z0s5stfucBbiztmw38hvHfkYkK2ufjWZwo31sx23cREaxpKxTby72CGjbxEGXOPQf/a2qqUpfS1NTUTEUeVSiW3yDp60S6dq8uMQWP2X5MEpIWdAgkVtZgsP1ZSRsCf7X9ni7N760QFGmZwUKzi8LDwM0pIyIX8ZzICs/GxMpjzib5vlYrm9l4byZWpO8GZkv6CzEpXZZwGxkj3dQcnv61OtbpbnZ/mSz/krQ9zTXoTatUrib0+XJnlsqT4DDgSklFydXWwNd6OYCSiCdwqloIeXoANqRUO9++Razy3lxMwluhsKstPz6HWFn9tCM9/LPARZLuJCZ8y9JDunfxmUpayM3OSSgclkbJy12t/v3JlF1SBDSWIpu09ECV9P4X0lyC8SThLPMfSVWDllKUiBxPZGUcnb6fX7B9Hu2dZVriDmUyGZsDq3QJrG4h6VaiPPJcIl3/k7Z/1OE5E+UNNK6BkDLr0jXSxHtQfPfLQbteXZeeAEir7u0ElX9I/L59u83jBYsBv1ejhHAtwtHrF6mPrpkOA2ARScun60GR+bJIj8cYaklFt8CHqlleF2OuIrA+b7pnKTSknkeIXue0Eo4/p9RmIdsdA5dVyb7rECWXS9HsCAVwJ3BxyorJM/kOz/6udK+gKPO8tfjdkzRN0httX9WP11NTU6YOjNTU1ExFdiB+dD9BZGssTaRxT4ROtqdVke33qFnk7Crb/wsUJTRQwT6WCIoUGSwbFBkspf5a6p30NOCGdd4KGm+d10ua+abEjfm7JjOeRL9X8lvVoH8Imj6TlpQ+k9mSXmP75skMxvYsRVlKEeTa0vbvejzMpwkV/lbZKoOyId2BCIR0Ot/+CtzSKSiS+BYhyHoyMQl4P7AC4Yp0HJFRc6GklYjyLQjhwbHzRdLGLpV7tWE2UA4etdo3TM6R9LYULOjEt4n08BdK+hrhSLFv56c0UEOrIZ/0mnA5KeuUnARcJemMtP1u4OSU+VH1+3kqsLPtIyS9HXgB8b35IVECVMVlpsyChNDxfMCqknCzK8WdhBZNp8DI22x/TtIWRPB2S0LfZhCBkY7B004B5jKSDrS9X7Y9LzDL9nbpWGu3fXJ2GOAIhSDmeTT/5uQB1P3KT5wCfJKYPOfB0V17PMZUS3lfCMY+y3bCo4Vw7MUpkycXWL84nZOF9s5JwIVqiHrvRGjajJEWbnI9sh94vLDuDxX6Ymcx+ZLDTbO/nyIWg8qZIX9J/xZI/yZCca/wPZqv5w+32FdT0zfqUpqamprnDCkVdjpwru0nSo8tC6xk+4K0MjOfGzaoqxHClIfSEDl7MyGqd5pau5EU2FndrKRrHM4ONxB1uI9LutX2qzsco2ckTQcWp4J1XoVj9SVlud+pz5JOJFaa89KVQ23vnH0mLyQ0EX6dtjcAZtveNDvO74ismLuIG8eiTKRWvk9IWosopbmENquAqV0r/ZAbHGVslUpFun1PJL0YeBkx+f0AjVXYaYRLyCsrvqy+kyboPyICTU/SoeQoBUU3TG0u7JZtVnpuT2n9CgHqQqT4Ctu/LT2+MjHheFFK418d2Mz2V7M2Nzn0ho4ALrb9syLdX1LHrIVytpuqlcmcDqwBXEjzd27PrM2ttl8t6RiiHOvcqt+zftMqwysnD1ak69MfbB+cygpOAa63fUAP/V0H/IoIUN1B8/v41lLbls4loyS97uJcva3X4KgmWF47KNLncTywPyXh0fJviSTRLLB+BtivIgAAIABJREFUBQ2B9bzdJjSCKed7vJtelVLZ3YnMxX/TCCbZAy45lLSw7Ue7t2z53KLkqFW57E3l97Ompl/UGSM1NTVTBkmn2N6mlK5ZYGJ18Vu2zxj/7O60S4VNqym7AksQq9svJ2xAN0zPu0XSScBaLomcETfjlcoAFMKaXTNY0mr6wYTo3lhpQC83Mg59kjmSniqvZKqFFexcyupFUARiBUzS69LfOwFIOg9Y1fY/0vZLGO/cskmnTiQtnvczSHrMdOlXn+sRLgJlkcv8+/Y1YrVuITqvAj6qcEo4LW1vRWhuQPUV3m4p8m8nMoNeTnMq9kOEcO0oOZwQVWxZcqRmHYr7aKTAI2mJqkHLbmn92TGvBBZPwaKy01TO0USJ0/fT8W9SiLZ+NWtzbTqflgP2lrQYjclfrxbJVcpkfkGzsGorzlTorPwH+Fi6Lj/W5TmDopMmUTnba2fCtWlvIlh7ticmKLk14Wz0RLsG6uBcMoH++kb67NtZoh9CWIN3opNL3KiYQXyvOwmP5gLrp3c6mO1zGF8ak9O1VJbIQlzR40vVBoKkdQjdm0WBZRS21R+1/fEJHO5OSXsSQVuILNg7+zPSmprx1IGRmpqaqcSM9P+mbR5fkkgvnVBgpAO7EwrzVwHY/qNK1pGE2GC+yvYvetc92TpbCT9AIVI2naiNzylWnb5J3DTvNIG+Csq2r/Mx3va1G/2q5e53Tfg8edAiTTrLv2tLF0GRxL2ENsAYFVLgL2R4qbudBBHNJEus2nAskdreJD5b4qW2V6twrO2AIwgrXhOif9unLKxPVBxPxwCKQzTwREnvtd1xYjECupUcXUtDOHYZwt1FwPOJ9PMqmji9sBChgzFmEd6GhW1fHQvZY5RT5D8MvBa40/ajCmHQnWBCQo5dy2SqHNP2FxS6OHNsPy3pEaCbFtRAcAUnsVJWyRFEIOoK4FJJr3dvGkJPALcQ351OGSD70Cao30Nfw0bdsphsl0tQR42I87+jaHr6nj4jabo7CKyrWa9pAeJ8ecT2NDVKZZfX+FLZK0qH+hMNh7Nh8C0ieF1o2Nwo6b97PEZxIdqNKDvcl3gvLqT3kquamsrUgZGampopQzGB7TBR/bOk7QbQ9eO2nygmBSl4UJ7YtBI5O7vHfppmHR1WfZ/n0GFQei8OUNhbVq4VV2b7KunB7KEnCTeIXlwUNuzULuvz3cAvbbcTkSyvbE2WKmKnF7b43C7osZ+hifxVzT7qM3PSymQnzlYF7QyHmGK74M7lbfb3hKTtHeKar1ALN5Ryec+QKYQHz6FFyZEbwrFHE/a0Z6ftTYgsin5joqTuVoUOSS7mnItu3i9pBRpisFsRIrxk7Z9ROAKtrJLIraRv2d5LDe0TSs8tC3w+Soj9jiuT6ZI5SJ5Gn8bxIeBNkkx8x75Xfs6wUZRfljP+ZjE+q+SB1O4wWmgIqaEfYeByZ/oRtteWdDFwm6RraH4f8/e7H0H9YWOqZTFNJXagoZ3SVng00VVg3faYoHEqvXkPDbHik4lMko6lsgrXmEeIc+0i2pSk9Rvbfy0FWdsF3IsxLm07D/B8Ph3nPkKnqqZmKNSBkZqamimDpMttv0njnS3G6vRt95qyXYVLJBVBhI2JlZgz8wauJnLWjaqlBI8rbPf+KOkTwN+JtNTqHdkHAwdLOhj4OrAyjZv0Yhz56nWrsS6fjlVVk+R9wLcU2gDHOdxV8jF1E6TsCVcQO7X9ifS5vTntGuTnNmmKSX+rCT8MbNJ/kcKW+qe0F3D8GPBpSU/QQTsjrUbvAryC5rKcnanO3V0eL9wrejonhsRd6V834cG1be9SbNg+J2U+DIIvVWizOxEwfaWkvxOvYfu8gTo7av0wNbsEuKZ07FaONZ3KZLplDubMIkqoZqbtD6SxbF3huQNBIYa6PhHwOJsobbicEFftmlWSHee7hPZREdT9qKSNbO+eNdu/wqGqOJdMRapkMQ2cFvcjYw+RXQNTyW1V4dGeBNZTBtrP03frC0WpLOHE1okLicykn1ftqw/8VdK6gCXNT5zPTfpJKaC3GfEbcS1wn6QrnNxzinuFPv2e1NRUphZframpec6TghAfBt5G3Oz8CjimQzp8q2N0tepTRbE4hdDl74kU6a8Q5TZft/2bquPJjrULsCelyYxL4nz9QtI04mZtJ+Jm8njgx05CtnMj6rNobJe+Pmr7++kGeByemPtHtz4vat1V4zuSzpHtgOVsHyhpGeAlLtkmSpoNXEapLMf26eqzfopa2PXOLaSJ6mU03FO2A/7b9tv73E8hjpqLSy8MzNvqnFS4YszT5rGbaThqvVbJUcv2llmb64Adbd+StrclBJLf2M/XlY59JTDd9qql/b8r7xsm6X1agxBTXUMhfPoj2xuX2r2LKHXMs0oOzB6/DXhV8TuUzsFbbb9qAmPKg/qXTSA4PFQk/RQoyu9OdQhxbgV82HZHTaipgCoIjyrKC5exfXubx/Pr5TzAmsBbut1nlI4xdIFaSUsSwZiNiPup84AZznRXsuvSR4hskf3VQlS10+/JEF5KzXOQOmOkpqZmSqLOlnd9JZV+HA0cncpLXt5jUOQQYCFJW9vuJAhXSSzOdrHi+jCphn8S7El3e+AinXUlmm/SLy2364btByWdRtzU7gVsAXxW0rdtz+z87P6Tbi4PIdxpRAeXkE6HGcTYWmG7SBvvewCkQ59VVrG/QwhtvhU4kFilP52G00XBwi65JGT0Wz/lFkn3EjfOlxGlBh3r+wdFuxKSghalJNsSq/3FBPVSuq/+ToQdNF5c+mVk4tIAkmYQQcyHiOvg64mV6TzL6zHbj0lC0oK2b5O0Cs1sBZwm6QNEltaORMC56KdymUwFFgKuk7R2ETSW9EY6i8wOg8dS2dFTKVB8H2GBPYako4CFCQ2pY4j3rWyz/CdCh6YoLV067cuP01aHImtTuJT8tMW+KYHCNeke2/cA2N5S0vJ0yWIaBQr9sfx38i/ZY5WERxVlp4cSn9lykl4LHFi6TuTXy6eITLrK+jnpHFtRzRokY/R4rvWCnGynOzCfQgh9G0IDpx2dfk9qavpOnTFSU1Mz5ZC0BxUs7/rY38WU0joJS9dPVnz+zUR5Af3ILFCIzn2W8S4hPWd5qII9cLsU+V77k/Qeot5/RSLF/UTb96UV6t/ZfkWv458skv4EvNttrFBTAO5Wd7B4VQ9uIf1C0nLAHoxPIS5PsPvR13TifCsE8i4hbtLnZG0K+8SxFUi1tub9KnHu9Kq/M9GxL0NMwNcD3gn82yV7xyGNo7DP3RJ4MY1MkG2Be6teS/owjguIa9F3bJ+V9t1AEpfOPrubbb8me96NKbvh7YTg4b7AD/PrmaSfEYHavYgA2QPA/LbfWRrDykTq/l+ALWz/J3vsJbb/kTJYxuHuQsjFcW4mrjN3A6ukvkxcM28bVcaIou7jGMIJ5P3p/4eBG5zpB6lhfVz8vyhwju03Z20uIQKPRcBkLSLoMwfGXwtS3+8hyrS+kO0fl/HWanV+lCis11cnLIzfV3qsbRbTMJG0GaEF81LiHmFZ4Pel39KriCDXL7Jz7RaXhKsVmmFvJWyv27ab5HiXBX5JQwutKHfbnrif+kLLJ06+3z8Q5+VPCAvif7doszVR4ne57Y+nINg3bL+31G6ovyc1NXXGSE1NzVSkq+Vdn5meMh0+QtSB799ulaUN5xKiayiETkVDu6PX7ASIzJKjiCyWtqJlFelqD0y8312zSiqwBfDNcqaJw8HiwxM4Xj+4t11QBMYcAjq6dgw7KJL4ObHyeCaN4OCgOI5wt9gmbe9AZA/kqdxPpiBSkda/VJtxzSCsXNtqkaTSgoMIp5tNJK0KrGP72F4GLenlREDkzUTpwq30SeC1V5yElCUdZnvN7KEzFTo4TaT373OML6WYbInbjsBLaIg0QjVx6SIr6p3ENfBWqVncwfYW6c8DVHLUapEBsgQwL3CVpLHVaXcX2C7G2K00cVNi0vcuQly2CChcCoybiA0L25b0X2kyeJSkc4FpbhaWhLAXhrC3fikhiPqSUpvKYttF32Q6FOrNuWSk2P4ggMICmvT304TN8N5FBmerIM8Q+QpxXl3gKAPZgBYZLK4mPPqk7Tmlds8ASJpJ5+yzSqKptv8s6UlgYzeX03xeUfI2kMCI7ZUl/RcRGNxH0u+A/3EIZhdtTiXLoHWIdr933MHi9+SLkh6ng7ZVTU2/qAMjNTU1U5Gulnd9pmpaZ0scwqwbAX+x3Q+ryKds98VZodNkJqNKinxH0qR52XJQJBvHhT0Pvj/8VtJPiEBDLiyal21Uce0YNo/Z/vaQ+lqhtFL35ZRlkPNtouzjhZK+RqyK7tviWNNpoUVSanMCEXgpzrU/EKuLPQVGiCyBawidi916fO6gWETS8ulGv8j8WaRFu5OI17wpkaHxQeB/J9KhpAUIcWWA21M5Qi5SfYm6iEsD10o6D1iOCGwtRovAl6Q3EVolx6fgzsuIEocqQqm9sFCnB7NJ3+bAR4gyERGr4kfTEGMdBddJWsv2NbbvbtPmrBSw/gZwHTERPiZvYPuSFEQsytWudrO7TDsdikJ3p5JzySiQdKHtDbvsu5V4TedJel8a89DKGlvwpO1/SZpH0jy2L5L0rVKbrsKjiVsV5WbzSlqJKHmdnR4rAqnrEQK+P0nbWwNN4uLQtex4Q+DXktazfUVqvy4DdiWyfTVwtaSDgMOBE2lk0RUZQjOKbBJFKe9hLomqOnPmqakZBnUpTU1NzZRBDSeOVxPp0d0s7/rVb9W0zlzA8HnAfEV6r6TVHKr0+Y3sVbYrT3bUsM/dk0jV/RnNr38gN7NVU+QrHOdCwhlmJDoPrZB0fIvdzm/A1CiDKDdqZ6c8cNJN80qEcF07p5h+9XUl8Fnbl6ft9YBDyyv2KZNoQ2JycmGrTBxJ3yNpkdh+VbrhPc/2WlmborwrL8u5wT2WwCjq999ElAAtA/wRuKTXzJN+IukdhC7CncT7tCyhMfCrUrtrbb9BWUlD8b702N/6xKTj7tTf0sAH8wClKohLpzavBe60/W9JLwBelmc6pEyENYlsvpVTpsOpttfrZcwVX9d1hI10W/0bhSXuyUS20SNp3yJEGeDIykQUoqkrEpl5j9BY5W45JkkLAguVr5uStiECJxenY7yZOE9Py9rk17dCh+LoPICisGH+m6OMcn2iZGWWW5Q4DBqFvfLCwEWEc08R6JgGnOuspFGN8r33EdkzOxKvbSQZI4oytc2JQNOSxG/0WrbXzdq0Eh7ds/zbrSgv3Yfmc/IrzsSkJf0GeJPtp9L2/IRw7tpZm65lx5LeQGQFTk99PQDsPIjfktTfNCJ79P2EptHPgFOcOQqqhShsm33/TQvaLcDU1EyWOjBSU1MzZVAbJ44CD1GQsowyAUPbK6RVnqPyFa4UYDmUDjeyXfq4iw72ubaXn9yrqDSGt5CySmw/0eNzzwBeB5xPc+ZFpdTfUaKKrh1DHM/BREnLHTTf8PbdTSgFGGYRnzvEjfMHPT79v8qxumqRKDR93gucn9quDRxiu2WAqkt/ixLBkTeT0tptt9SvGBZpoltM8G6z/XiLNr+xvbbCnebbwD3AabZX6LGva4EPODlbKPQ9fmz7DRMYd0cB5pRF9DrguuyzHYhWRQqMPECXQKuSU04xoUwT72uc6acMG1XQT0nXmE8TriS7pN+TVZx0YVKbG4kyiPvS9lJEGcca9ED63NYk9IrOBs4AXt1r4LsfKER+9yJ0Ou7JHnqQCHocmbXNryFFEGwZ288f4pDHSEG3/xDZFtsR18uT3Oy2MpaZ0Wlfxf5uJ4J+/5e2FyfKXVfJ2vyJ0A7rWnas0JJi0AsX6T7m50Qw5Mo2bW4E1rf9QNpegghqv6bULs9sW4jQSrp2EL+DNTVQl9LU1NRMIaoGPiTNtL1Hv/pNq26tHBLytM7dSQKG6bE/KtTpc/YlbtKbbmSBSoER28v1PvrJkyamt9p+yJG+PY2YAF3V5allfkrvziIDRaFDMZNIS4ZwL5lh+29Zm66uHSNga2D5XoNTE+RBh/DmNBhzFprod7GKFsmngF8AK0i6AliKKM3pCYV2x4JECvplhN1tJfHOAbMSkfG2ELCGQmNjVqnNV9NE5dPE93MaSaeoR+Z3Zvdp+w9pZXkMSZsS+giFmHMr3ZeWAsxEBlnBE7YtqfhsW5UI9QsRoqU3S+oUaD2e0DEp3H02p/eSrL5S8Tt4PFHuVGRl/Z3QXDgrazOPm0tn/kWpBCKdX7swXqQ5/+16xvZTirKbmbZnSrq+4svpK7aPAI6QtIe7u5R9JHveLZLeTA+uLAPghcA/UhDuREXW6IuIz6VgJlDOaBm3T+HC80XGf255kPH/AdcrSmBFZMYdUDp2pbJjZdbQSromzqyh+8zyeTZaGw4DrpR0KvHatgK+Vm5ku8nJTNLSQLl8qaamb9SBkZqamrmRfqdu5zejCxFpoPeU2lQRMOx6I1sFSbsTK1F5/e22tr/b67Eq8j2ab9webrGvI2ky/DZ3t+kbNscTK41bp+3t076NszZVgl7D5hbg+US69qA5HXi97QezfacBPWcdUEGLxPZ1KTNpFeKm+HbbT06gr03coVRN0gdtnziB406YlPW2PqENcDawCSEIWw6MzE4rt3MIy9ZCj6RXfivpGBr1+9sx3q72W4SQ7s0dJixVBJhPkfR94PkpmLgzoefRE+lacUGnMhkiW+oNdAm02j48ZSC9Ke3ayfZIJv09soLt90naFsYEqsuZguemjKIfp+33EZohOWcQQcELaC/U/WTqZ0caFrDzt2k7LI6TtC+RAbJrnjEj6a22fw0s2yL75uHhD3WMU4F1s+2n0761FDa96wJLqVESDBHwnLfFsU4inOdupo24tkPH5xzgjWnX523/s9TsTuBiSW3LjlXNGrqfrCTpM4wP+rw1+3tWCmwX+7a0PU4/pQV/A17Vx7HW1DRRB0Zqamqe89g+Pd+W9GPGu1tcou4Chq1uZCdiM7eL7e9k43sgTUQGFRhRPmGy/UwK/FTG4e6yrKQFhpTlUJWlbOd1+CdI2qvUpkrQa9g8H7hN0jU03/D2TRA2TX5fDUxXs4jjNLqIX7bD9kmpvKPQItncJS2SVO7wcWIya+AySUc5q6+v2Fc3/Z4ZhP7GMNmKcMi53vZOCs2hH7Vod6akTYpglKRXEZOsXu06P0YE9oosissYf534K3BLl1XcrgLMtg9N174HiaDWfrbP73G8xbXiGUnT26X1274FuEXjhWXHBdAcWgkD0UsYIE+kjIMi+2YFsvMcxkS9t6QR9PmB7Z81H4aFbX++S187EQK/X7N9VwrA/bDLcwbNcUTGTBFoyDNm3gL8mkYQJ8eMLitxvvy3Lf1mLJA2FwAWJeZVuWDog7TOhvtf27/o1FkKlG1EZGAcKGkZheNRHtT4S/q3QPrXinXdsIb+sqTDGB9g6yeFq94xlIJ1kqaljMQlgH8SixbFY0t4vBZL7tBT6CDNbed6zVxEHRipqampGc9KRNpszhcIAcObgY8SAY+yi0CVG9kqzCtpLFiRVljb3fT0gzsl7UlkiUBMWu+cyHGAKyT9gubU94GI5lbkX5K2pxGs2pbm1GeoFvQaNh31dvrEKoSbyPNpnoQ8RKTnTwjbtwG3dWgyK/VRpNJ/gJiobd32GRNjFA4W/0mBxadSadJ9hCBqmYOI4Mi7iM9hFpHt0RMO/ZLD0792fA44W9IltBez7mjrXcry6DkY0oKuZTJqISybsoCeDcKL+xPuYEtLOonIgvxQ3kDSISno8dMW+wrOkvRO220D8Gklfs9s+y7gkOyYp7skND4E2mbM2N4//b/TkMfUjf+VtFkR0JD0HuB+GBPqvkTSCRVLqfZPmV4X0t4t7bskIWvgQOKaeToNcfex8mNJC9t+tE1fVayh+0knV72Tid+ca2lefFDaLuuo5dlvTxH6SVPKarrm2UUdGKmpqZkb6euER9JDNP9I/xNoWoWz/QyRNn50Wu14easV2HRj03JFS9KVLjl9tOFc4CcpbR0iEFO22O0nuxElEPsS78OFhOZGr9yR/s1D86rZKNmZmIB/k3htsylNQKgQ9Bo27uKI08N3qVMfZwBnSFrHbUTyBsRqtlfNti+SVCWNuldGkfXz2xRgOJq4+X+Y0OpowvYvFVog5xHnyha2/9BrZwrx0fLrnENMKL7qEGX8WhrHQrQJsLqLrXeVLI8eqaJHdBhRntckLMvESrymDCkAcBtR3rQ28Xs2w/b9paYbU/odIkqzPp/9Zgn4oqTHgSdpoR9TgYGLerega8ZMyrY6CHip7U0krUqIkY5KQ2Y34CRJRxLv81+J8qScRyV9g6TnUez0eLHQnQiB5vnJxLVpPife6CRknY7xQJahAkAq4TmWyFZZRiGk/VHbH8+atbKG7rkErgfOlPRxWrjq2d40/V2pbLBbKeSIgno1z2JqV5qampq5Dkkfsn3CkPu8GNiMCChfS6wEz7ZdWTBRLezo2rSbhwhMbJR2nU/Ya7arIa9pg6QTgb3crH5/qJvFCec6qn6XKh5rZSJb6EW2V5O0OrCZ7a/24/gt+vsRcKTt36TtNwK72y5PMibbT9/eown2/wpgmpstb0+iOWNpQyKYeDf07uAk6etEunqRkv5+Qk/gn4TV57sl3WK7a4mOpDcRzkzHK0Q9F03ZBcXjfXWd6lYmoxaON632zY1IutltnHMkfYzIWlue+G4ULAZcYXv7Hvp5te1bu7S5zkO2wE2ZefsSWjznkTJmbF+ctTmH0IPaxyEOPR9RojYyx6E0rkUBbI/TO5F0HvAT4DNEIOWDRNnM50vtbnfmLtOmn6uIUqNrUoBkKcL6/HWlNlsBv3DDwaft+a4W1tCSNp5ISVyHcd/VYreduepJutCZo1+7fRX6Guk1vubZR50xUlNTM+WRdBCxCnqM7X/1OygiaQvg18XNQlpdWd/2z7Nm01Nt7EeAWbb3l9SrnWmlSHTKTjkq/Ws13r6skkj6nO2vl+p483H0Oklbikjb77ZaNkxWL4IiaSz/J6npRkrSeoTaf9m1YxQrqVXp56rG0YQQ4PcBbN8k6WRgIIERYsV/tqS/pO1lgNuL7IcqE98UPNzK9ikdmo005dr23S12r0dzmdS1k+xmo9Kk9mY1LJOLCfTZkt5m+7x2B1GIxq5JlPUcT6xk/4hmoeu+uU5VLJOpIiw7t3KdpLVsX9PisZMJDYiDiWy2godc0mCowA/pQUR7WNg+X2HJ3CljZknbp0jaOz3nKUlDXxyQtL3tH6lZVBU13F3ykrQX2D5W0oysvKbVZzxb0qruLDjaVcg69f9XNev2tn2PHKV3ZfvwQ+hPeVzRR9tsEIW+1MLAkgpR+WLg0wg3uJ67m8BzamraUgdGampq5gauJmxUv8n41NV+sL8zLRDb/04ThTwwMp+klwDbAPsMYAy90K8JeyGK2a/JxknEatmmZKtlfTr2RJlH0uKljJHyb9+xhFXqtXS4qXwWs7Dtq0s3108NsL93TPYADh2PzwFtAyO2PzHZfgbAA7ZPVFjdPlZkgSk0PBacwPHmVSbIKGktGi4YxWf4MeAzkp4AnqB1ucUWRDbIdcSD90gql8Od1qcxQ7UymSrCsnMrbwS2k/RnIvum+ExWTwH6OQrXln/afjwFklaXNMvJrawiVcpOh67Fk8qJNqGzsOgjkl5Ao9xmbSpY0w6Awpa6VXloeWJeZD39Q6EfdA9hA19mbeCGlF3xONnnP3bgCkLWwF8lrQtYUZo3g8bvelX6XZo8P3Hu/nfadTHw/ZQR9lFgL+ClxO9t0feDwJH9HEdNzUSoAyM1NTVTDknrORPYsv3ztO+wAXXZylK3fH08EPgVcLntayQtD/yxx376dQPSl1US24XA6KO2T80fkzQRIcyqq2XD5DDgSknF69ua0FzImWN7kCr9g6CfN7P3K2r8iwnIVsA/+nj8MivZviDfoYlZ616gsIX8Cc2lHb2uqg+T4ty9kCiVK9Lxn0eUFKzb6kkd+DBwfJHeTwg0fjgFXg4GsF1F7+cJ25ZUfAcWadGmX2MGmL8IiqQx/iFNqMj2dRSWncv1Bd5eoc3pwJqSVgR+QFjzngy8s4d+LOkkd7ZR7+ZqMwi6CosCnwJ+Aawg6QpgKVo7vAwU24XW1wUuCX+mbMOcr0qaDnya0LaaRgTdy3QMDqeg4622X0lnIevdgCOIbIu/E+fjxzu0b0W/sy6+R2ScFUHMHdK+j9g+AjhC0h62Z7Y7QA+MQmC75llMHRipqamZisxkfPpvq3394reSDgcKi9zdKaW4p8DBqdn2ncC4m3JJy5ImfgpxuflsP5Qe3mEQg+8De5O9tg77ulF1tWxo2J4l6bfEDTjAlkX6sqTi+3SRQjDvpzSLxY3UFnCI36XdiYnXKyX9HbiLCTik9MB+kt5L1OEvSgjdPk7v1rrvS//vnu1r5WwwFVko1yiw/bCkhXs5QConWt72a9JkDDcLo56S2on4PJez/RVJSwMvKa3On6IQe36+whp8Z8YLNE56zBn9KJOZGz7nltj+c7r+FJbVV7S43jyTyke2BGbanqkkxNkjHW3UO5VYDZCuwqJElugmhKvTe4ksm1HOW7rel9g+K/05B9ig3YHS5z9O0yd7/GlJt0taxvZf2h0HWKUc9ErBmlGWEa5le41s+9eSbiy1eUbS84vsp1RWs63tcRlh6bdvmTyQmjGKoF7Ns5g6MFJTUzNlUCisrwssVarnnUYjPXwQ7AF8iVh5NlFvm0+2kHQ8rXU4ds7a7EKIpi5B3NS9nNAJ2TC1vaVP4+3LKomkTYjVx5dJ+nb20DQmVkrRarVsr0kPdJKkQEirWu5yBtKa+dNoBFOGzjC+S6Vz7GzgIiJ76hFiIjIom+W3EN+RG9L2frZ/3KF9SzrVsk9hisnpI5JeX0yGJb0wvlXLAAAgAElEQVSBhq1mJfJyInd2islX579CZHx8h2bbz0MVgpgPEjoj+3m8IOOkx5zRjzKZuVZfQNJ+RPZaodlyvKRT3Sx4/KTCznZHGnbaTVk1FXiCqWmj/mTKiigylJai4c5S8CXbp6ZJ8wbAoUTmwRuHOdBe7ktUUcha1TR9FgdulXQ1zZ/bZlmbfiwi3d1D2yo8LWkF23cApOzaconqLraLhagiMLYLpWuApHcTn/sCwHKSXgscWLwHIwrq1TyLqQMjNTU1U4kFiFWT+Wiu532QAabQ2n6EZpG7VpyV/b0QUZN/T6nN7sB/AVel4/5R0gt7GUu6WZw1pNTne4hV2s1ozpB5iNbpv93Ymig1ugXYQMkBBjiz89NGg+0NIG7cUgbQGOlmbpRM+rtUgeIcW4WYJJ9BBN12IHR9BsXixGu7gwj4LCtJdm82eV1q2UdClp0xpp0AvLjIzrC9dmq6F3CqpHuI9/zFNDJgeqFKOVHH1fl0zbkgnQ+dRBj7NeZne5lMFbYD1rD9GICk/0cECvMJ9E5EqcTXbN8laTlCTLWJlFFSZJ5c7ma9rLXTJHyq2ahXERYtJtPvAo52WFwPShC6E73cl1QVsq6i6fOldgPqdRFJoUPyCrJ5n+1Z6f8t2/UzQT5LZGHeSVwnliW+yznz5tf8dA1qZSV+APFbcXEa6w3pPKipGQh1YKSmpmbKkOlSnGD7z8PqV9L5wNaltM7/sT1WB2779NJzfgxcXjrU47afUBKxVNgL9jTZSym0Q0l9tn0jcGOqQe+H2ObqzoQB3cIBZopyGuNX2E6lWQhy2Ez6u9QN219Ox74UeH1RpiPpAOCX/eyrxG+A/2f7uJQmfQiR+t2rVkXbWvZ+DXQCVNFOwKFT9EoiKAUt7GorUqWcqOPqfLrmPCNpeqfMkz6OuQpVApNzs77APUSA/bG0vSChETFGynTbM9u+izhXgAgeAfcCKxLCtQAflbSR7d2z5xXneVub2WHjasKif0/lXRsDhyisZlvpgQ2UHu9LqgpZd9X0Sf22YwEiUNk1WCPph0TW4Q00gk0GZnV+KRPD9oWSVqL5OlF2wjkX+En6fCFEWc9tcbgnbc8pvZ9zbaZYzdSnDozU1NRMRY6R1DFQ0WeWLE3oH6iwOr8SUG5ziaQvAs9LaekfZ2LZEkNJfZZ0iu1tgOuLG7QcV7BNLVHFAWbKkCZ5rwamp1XXgmlkdsMjol/fpSq8iEaJB+nvFw2oLwgBz7dI2i9lVRxKrGb2SpVa9mFTRTuhZbaLpJ6zXSqWE1VZnX+YsPo9n+ZrTtmyey0aK8+vlzS28txnignjs0pfQA1r9DlEmcT5aXtjes/SWp64fr0qW3k/Ebi11OdqRKbJEmn7fmBH27cyWu4lSqjmI65zY2VaiW0IkdJDHU5xLyGyEYaKpG/Z3gs4ss3vZF7aUlXIuoqmT1tsX5I+x80rBGvWBFbtNSNvokjaHTjJ9k1pe3FJHy7ph3yeCIZ8LG2fT2hNlblV0geIDJOViEDh7MGNvua5zpS9Ya2pqXlOM5FAxWR4RpnImaRXUFqVkPRQad8/GX9j/gXCJeJm4kf/bFr/2HfjDoaT+jwj/b9pn45XxQFmKrEK8dqfT6OGH2KVf5eRjKjBuO+S7co3zj0yC7haUpGCvzlwwoD6ghD2LWdVHEYpq6ICVWrZh00V7QToY7ZLmviuShbMy4MV3VbnU+D5pzT0Ltr1M9SVZz079QUKgdlriWBVwcUTOJaBPwHLAMXkeOm0L+cHwKdsXwSgsP49mom5CfUFSV8BPkT8zhW/q026TrYfJftO2v4Hg3XLakdRvnRohbaVhKwravp0w8CjCuHwV9N8/uf6WLcQZW/Deu+66ofYfoa43n2vy7H2APYhxLl/TDgDfqXvI66pSWhIAcSampqayqSb+C2yQMWywM9sD8SVRtI7iJuZS4iJw5uBXW3/ahLHXAJ4ebFqMsFjTJnU56pIWpXGze2vUzr4lEbSOravHPU4chSWx0d029fH/l5PfO8BLrU9EfeLqn1dV2RV2H5d2ndjKfujynE2JIQLm2rZiwngKJC0HVHe8nrCZWcrYF+Pt8Me93on+B7sD6xPBEbOJlw8LrddWZNJ0nXEZ/+Y7afTvnmBBdPktGj3e4a08pwyborg2cXZ9+Rm268ZdP+jRhU0VtLn9hARUCyyTdYigi9zILIZ+vVd6yeSbgde065cdG5E4RK1le1TUmnMPG64iPV6rCttr9OlzXXA/YS+0GcIPZoPAv9r+/OSziSCJ4sBryW+I7nr2mbjDtoHJN1MlNXm+iE32X511mYlwk68HNBtW0KXjrOI7QcHMe6aGqgzRmpqaqYm+wCXS2oKVAyqM9vnSloz9XE98HNKbguStiAm+nPS9vOB9W3/PGtzMSFkOh+xInifpNm2exIyHVbqc4ssGKVtAbY9rddjur0DzFTmrylbonAEuAyYYftvIxzTB4FyEORDLfb1hZTCPix74qpZFR3pVssuaeMJrMJOioraCdC/bJetgDWA623vJOlFNCxwqyLgQqLEqQjCPg84j+asgr6uPFcokznwOawvUFVjZb8K7e6U9CUamQ/bE8HEUXILkal334jH0ZU00W/1vSt+J1eHcS5Rj7Ro3wtVSjkFvMD2sSloXmihXJMer5LhMgiq6IccD+wPfJNwHNqJFvoxCuHa3Yhr4zXANElH2P7GgMZe8xynzhipqamZkkhaEigcHH5j+/4B9vURoqzk5USa+NrAlXk6qqQbbL+29LyxFe98Ox1vadv7S7qpV60OSbOBfUqpzwfZHlnq87OZVOd/Ms0Th+1sbzyCsWwLfIBwmbgse2gx4BnbGw57TP2malZFH/q5blBZZh36XAH4m+3H03m7OuEy9e9Su75ku0i62vZ/pWDMBkQGwe9tv7KHY1xHrG6Xr29N1zxJF9Gnlee8TMb2uDKZ1OZYImDzBcI+ek9gftu79drf3Eb6TH7vDu5kkt5m+7wUDCvK0K62fV+p3eLAl2k411wGfNlJC2oUpIWIM4gAycCzGCZDylhtS67xoXAXKrI42rlEVemzyKpr+9mmBZRjHM5DvyK0hO4BTrO9QtbuENufLx1/3L5+kTJndiUCrZD0Q4pstNTmWttvyDPAin2lY91g+7XpN+P1xLXg2l7vqWpqqlJnjNTU1Ew5JBWChEXK5KoKkb9LB9TlDOLm4ze2N1CIch5UatNKDb98DZ1PIRC3DZH1MlEWySdIti9WC9X6fiJpDZpLKSZcAjQX8kLbx2fbJ0jaa0RjmU2syC9J6G4UPAQ8Kz6THrIqJssoXEtOB9aUtCJh2fkLIuj2zrxRt2yXHvhtyl47mshSexiYSFnYI8rELyW9gVLWHGGd2S8OoLsNZ64vcDKhLzAKu9ZR0dWdTNI2wDeI91HATEmftX1a1u4BMnebMpJm2t6jv0PvyomEw87NTCBbbJiUAh8dg1BUc4mqRLfP1vYtkr4qaTrwaWAmIRxezlDdmPF6aJu02NcXHPohR6V/41C4KT2eAih/lPQJwpFp0RbN51cIVW8OHGn7yVIGWU1NX6kDIzU1NVORXHl+IeIG+loyYbY+85jtxyQhaUHbt0lapdTmt5IOBwpRsd3TmHIOJG7eL3dYWy4P/HEC4xlq6rOkGYTYaCF0d5KkH9ieOag+pxj3S9qehuXltsC/RjGQdBP+Z6Bjffncju3bgNsG3c2Aj9+KZ2w/pXA5OtL2TCWHGgA1ux/lrJiCvx0FUMvY/nj68yhJ5wLT3HCDWM5h8doNEdafp0q6J22/mMYkr+irk31or1Sx4XwDIUo5FmRWaOEMq+RrlIhq7mT7EO5M98FYWdoFhAV5Vdbr3qTvPGr72yPod8JUDEJ1dIlK9xdVAqCiwmdr+6z05xwiYyzv62OEm9nykvKg+mKEPfqoWJ7IKFmYCNh9hRj7ji3aHkUI2N4EXJqyd9paitfUTJY6MFJTUzPlsJ07hCBpaeBbA+zyb2nV9efA+ZIeoKHyX7AH8CUiRdZEemi+KkQqBTg1276TSAHvlZ2J1Oef0kh93nkCx6nKhwmb0Ucg0myJVefnSmBkZ+K1fpN4v2cTNc8jQ9LaaUyvIlw55gUemYjuS81QeTKVQ+1Iw+lo/uzxd49/yhimizNMK1KwpSiTuJxGZtFpwBskXdilBGtD2/+XMuXyDJYn0/Evt/0mtdEkmuB3sooN56+AaxTW7cXK/DFESv1ci0JfZ1anMhliNX8duruTzVPKWvgXrbMbpxqXSTqYyKjKS2mmctCrUhBK0ro0LK2BJpeoKwmb6x/a3qFDXzsAP+722UpamXB2eZHt1SStDmxm+6tEltU5hMjpF7KnPdRraU+fMfAK29cQGW47AUjaGriq1HYJGjbGXyJe/8XDGWbNc5E6MFJTUzM38DdigjgQbG+R/jwg1dFPpyQWloIGXyg/N0fS8bRYpbbdU1BjBKnPoln48WlGU4YwElKWRtvadkl72z54iEMCOBJ4PxFoW5OYaK885DHM7dw9gj53IsQCv2b7rlQeUmR+YbuvATdJ3wVWpJHt9FFJG9neHZhH0heBlSV9qvzcIvMgmyStRWNC9/qUwTLL9ptSu35ah1cpk7mdWKG/RNKHbc/mWXBdsv20pK5lMoT4bTd3snOTvkTx+b+PmAxPdQptrrWzfU12vVOQrkEodbe0XiAFBNdtlT1WZIylMpkqn+3RRIbt99PzblIIln41Nn23pN1Lz0HSEiMOjuxNtojUYV/+nV+IKAEaRNllTQ1QB0ZqamqmIJJm0ggwzEMI/g1lJaldurhCoHPrQkQxCdr9j+23Z83Oyv5eCNiCEEPrN/1OfT4euErhzCLgPcCxfe5jbmZrYtVtqNj+k6R5k2jd8akkY+9hj2Oq0aEcBWiaXHRsNwhs/07SZ4hgxGpE5sUh5XaSXkC4MuSZHgfa7rWE663Aq+wxa8wTgcK96v1Ebf58tM84KMbTbULXb6qUydj2WQpr159IOo5njytN1zIZVXAns/3ZLGMI4Ae2f9bjWIYebLK9QafHJX3Q9onDGk9FWgUqzi61WZPOlta7AdsRjjzl7LGmjLGKn+3Ctq8ulaQ9lf4/GdiUKPkt3ObyvnrWPZkskjYBlgaekZSXUk2jMe4xbOc6W0g6lAii1tQMhDowUlNTMxX5bfb3U0RK6ShrYgGWdOYsYfsBSS/MG9g+Pd+W9GNiwjOlsX24wmq4mKTtZPv6zs96TjGKVepHJS0A3CDp64Qg69yQIj8M+l6O0i8UTjQnEtkqApZOk7yycPT/AJfSKLXbjijT24je+BOwDI3Sv6XTPhw2uIconLG6ZRF0m9D1myplMgKw/UeFIPdxhMvPs4E76F4m8wPgU252JzuazEJZDXeRn7bY14SkhW0/2qKfgViAT5IZxHk0ZagYqOhoaW37cuBySb+13XHxoeJne7/CCasIjG5V9G170/R/R92TQaD2Vtz3ACcQAvW5RttDjBeNbcXChHtgTc1AqO16a2pqaiqgcNHYwvZf0vYrgJ+6gx1oEnD9pe0V+zyWvtuQptXaNxMOAVdM8VrvoTKI97tCn8sC9xL6Ip8kyru+a/tPwxxHTW+k68QHiglB0gD4scfbUN5ie7XSvjHrygr9nElMhqYTJTBXp+03Em4Z62dtpxPZKYXb1yVEdsqcrM2pwJ62W07o+k3KfvoSUSrzYduzVbI/b/O8ZYpr8LOBTmUykm60vUanfa2uTSpZxCfNi2OARW0vo3Ag+6gbwr1TjirfhVEg6cXEOfYMcI3tf6b9xfm4GBUsrVPQezeaz8mjCl2f1KbKZ7s8EUBbF3iAECrdzs1OOj8kgrCXOUSvB4qqWXHPn7/WFsc43fZ7Jd1MI0tsXmCpdKwjB/gSap7D1BkjNTU1U4bSj+A4PFrv+n2IlZ5LiJXMNxPK6mO0ECf8J4OxxOtrBoOk/YhykdPTsY+XdGoScKsZcsZIEmc8yCHO+BghxFtTQmGdeRDwUtubSFoVWKfbSuyAmT9fJbX9B4XdZJnzJL0fOCVtb0VvKeKH9tD2OGIle5u0vQNRPpeXGi0J/E5SxwldH2lbJiPpc7a/Xkq1z2mrvzS3UKVMhg7uZOrNceSbwNsJoVNs35gycKYyU27VVtJHgP2AX9NwpTnQ9nHE+SjCgnjz/GlpX5nvEqLM303bOxAiqh+p+tkq7G7XtL2RpEUIDZSHWvR1HHG/MjNll1wPXGp7UJlCB9DFirtTUCRRlPlsmu17CrjX9riSm5qaflFnjNTU1EwZ0io5NNxe8htC2+4ofjpoUunMrsSNxfOA+1qkyA9jHB+yfUIfj3c7sIbtx9L284AbbJcti591pCDEnra/2aHNF20fNMRhIely4K1uI85YA5LOISb4+9heQ9J8wPVVsy4GNKbjiNXkH6Vd2wHzOgkwZ8FTAYvQ0POYF3jYE3QdkjSNZheM/8seu8H2a0vtm/ZJekur47q/Fr15/2MZASlr4jhgS9vzSXq37TMlfbDNmKZUicVEkDSb+N7mZTIH2c7LZBYngqJFieNlwJdTGed0YHEqOI5Iusr2G0vv+bhslKnEVMwYSb+T6zrpACl0gmbnv5NVsjzSvrbZQFU/2/T9ON/2mhXGPi+RWbYBkanyH9uvrPTCe0TSb2yvXfq+jXsPuhxj6FmaNTVQZ4zU1NRMIYr0T0kbl26KPi/pOrq4wgyStFo0g6hvvYFQ07+STEVf0hbAr4sUdYUF8Pq2fz7Jvg8C5gDH2P5XP4MiiXsIsdjH0vaCwN/73MeUxOEQsS2xqtquzVCDIomu4ow1LGn7FEl7A9h+StLT3Z40YD5GBHaLrIbLaKwKV3Z2kfTqUvZAu3a7AgcS5+4zRMClLKz4H0lvSvoGSFoP+E9+nEEFQNqRX99TGck2kpZJ22em/+f6AEgHFimCIgC2L06r/mT72rqT2Z4j6avAvsA/bT+egiurS5rlTA8L+Gsqp3HKXprB1Hf2GLWmWCv+RWhhFDyU9vWawQPwtKQVbN+Rnr88KUia7h/mANt2Gc+FRObZZwh9ovx3Ig+gXEgEYa8krkdjlsMDoooVd03NlKQOjNTU1ExFJGk9J8HVdFM3auHJGcSKy29sbyDplUQaf87+zsTYbP9b0v7ApAIjRL3yCsTkfcdJHqsVc4ibmfOJSdXGwNVFKrvtuT51vQtXSDqS8TeXo9RZaSXOWKd4NvNIWrUtSjDWJr7LIyNNUI8kJi3PEK40E8n6+SHNQqTt+Cywmu37O7TZDZiVVqIhtAg+CJGZZPtNLcoARWTpTSiDpR1VymQyvYaWDLC8Z5i0LZPpgfWIEok1Ja1IaE2cQbiRvDNrtxshsPoyIuB9Ho2szJGQvosHEOOHku6N7U+MaGid+BPh3nYG8f18D3CTwgp7IUIUumsGT+KzwEWS7iTOtWUJq+9eEOGMA82fZzkwehPhArUacX38t6QrbTcFR/tIbsX9Y6JE8Cs9HmOut+WumTupAyM1NTVTkQ8Dx6WbJxE38juPdkg8ZvsxSUha0PZtCnHVnFbBm0lfZyebcVKBn6V/BRcPuL+pRlFScGC2z2TZQCPgd7ZPzXdI2npUg5mifIrQTVhB0hWEMN9WoxyQpHcBRxFBLQHLSfqou7vCjDtUxXZ3AK2cRsawfSOwRiq3wfaD2WNvUrjmVMpk6QNFpsK1Hdr0op8yt7IzUSbzUxplMhP5jXsmZUptCcy0PVMhbDtGCpptN9kB95kqujdTjSJYXXBG+n8xANt30z3Lg9T2wpRNUdxD3G57TNsnZc2e3/0w3R1nbH8yHXMx4EPE+/xiIjO07zicj/YB9kklPIsUZbo5au9cA4PRZqup6UqtMVJTUzNlKVY4nbknjHAsPyNWdPYiJswPEEKL78zaHAf8G/hO2rU7sITtD/XY11LALsAraNYNGElwSEkhfhR9P1dpU6te112XSLoiqxCBhNsriPoNejy3AZs6uQclscNf9lrPX/WzlvQ6YqJzFc2iqZWzvOrv1dRD0kzbe3Rpcx3wJPAtYiL6btt3qeR4JOlEYEZRXpO0KQ4b1e9JGkNX3Zu5jSqfWQ/H6npOFm1SRu0raL5XmJW1+wSRmfMGwkb8MsKh5tf9GGuLcZ1MZCk9DVwDTAOOsP2NrE1X55qamlFQZ4zU1NRMOVJ6/P4k0TmFEOWBhejZKLC9RfrzAEkXETaZ55aa7UFYUP6EWAU8n4mlLJ9B3LxcQEOccZQs373J3Isq2JkOcSybEGnwLyuVG0wjVPlrEpIWIur6x8QpJR3VanVyiDzkZkvlO2nWJeg33ydcMm4mSncmwtDS1quUyUg6xfY2Gu9SVpT3jNKdbFisV6GNiGD9bsDXUlBkORrlOQWr55ojDvHWUQubdtW9mQup8plVpco5KYUV7wqE7llxr2BgVtZuIeBw4Fq3cHSRtHjSs+kXq9p+UNJ2wDlEadG1hDV3wQF0ca6pqRkFdWCkpqZmKvI/wKVAkaWwHRFs2GhkI8poJ1Ro+xH6IxC7sO2plEr6bE8tnEpp3fcAvwU2o7nc4CHgkyMYz1RmFvG+zEzbHyAmhaMsOfqtpLMJG16nsVyTSh2w/dOKx6mqSzK/7U/1Pswmhnl+VymTmZH+37Rjq+cIkhZO5QlljrD9OzKBVtt3kdnDSjodmCef/EpagtHf/7fVvakBGrpJ8wIvojkb5C/pzw0JYddV3SH933a3c+5CqukZVWX+JPK7OXCk7SelcXGeJ5OAcL7v2X6fUTMXMOoLY01NTU0rXmI7F+v6qqT3tW09RUjipVuXUpb/x/bbezzUWZLeafvsvg+yphUrlEqFvizphlEMJOlB3Cjp5KIsJH2Plu7zqt6zgdVsr5ptXyTpdyMbTbAQcC9Q2N/+L2Ht/W7ixv+nEEu9RMB3edsHKhxZXmz7agDba1fs7xyFM82ZNJfStBJ8bMfQMkbaBZVLbf6R/v+zpBcTK8sGrrH9zwEPccqQSiSOARYFlpG0BvBR2x8HcDV3suWBw4ArJZ1KfNZbAV8byKCr86DDmnZM96bOGGhG0h5EJuO9NLLBDKwOcY5LuoXQC/nHZLqazDhbcBRwFyH6eqmkZRkvil0719RMSerASE1NzVTkPEnvJ1ZdIW7kfjXC8VRlyRYpyy+cwHFmAF+U9DhRQz4Qh4geeLYrxE/FtO7zJW1G/E5fC9wnaXYhpFcDwHWS1rb9GwBJbySybUaG7arOEt8lJjtvJUR/HwJOJ5yveqEQe9w7Hwa9lb8NzRq1lzIZhUX6fkSpkICZkg60fdywxjtCRLiQvZ0QGMb2jZL+u+OzxmPbsyT9loaY9JYp02SUnA68PhcCBk4jdDDmVvr5O3k3cR+wSqsS4qwkbTHgd5Kupjkw2otWR78zNZYAjk5/f4kQpb+41KYfzjU1NX2nDozU1NRMGdSwjBQhclrUSs8LPAx8ZkRDq8ozkpYpUl0lvYIJ3HQM0SGiKlOprGcQTMW07ulpFfUjwCzb+0u6acRjmmq8AZgtqUgtXwa4vZh0j0KLIq1678F4McTyROWNSTjx+vT4A5IW6LW/Kq4Ukl5EWIu/1PYmklYF1rF9bDrGMK1ReymT+SzwumJimLSnZhOlb88KOpXJAB+z/ddSuUHPmlMpG+lhUoCl2JeVZAwNhc39q4HpRXlZYhqRbTU3c0TVhpIWBj5NuLLsUjjU2D4LwPaWScusnc7VocR90iFEycrYoclKqUbEw9nfCwGb0HCjAqo719TUDJs6MFJTUzNlyAMCqQ56Jeaum6V9gMslXULcoLwZ2LXqkyW90mED3LLe1/Z1/RnmuH7XI8TQliV+F4rV2+VTv+cNot+pgjvYmQIo7ExPHPKw5pP0EkL3ZJ8h9z238I5RD6AFPweOJUpbOomhPpkmBIWWwFJd2rckTbA+RUywdi1PsBInEJo5xffoD4Rm07G99jdZeiyT+RfNwrUPpX1zPVXKZCRtmto5aTbMoDTBrNIV8EsaAfrnAcsBtxMBimGzChEUez5RXlbwEOHENmWRtDIRrCt+JwGw/db0/wk9HO54IhNwnbT9d+BUID9v7wQulvRLmrNBDi9K0iTNXy5PU9jg9kJfM0JtH9Z0cOlQShm/rZxrJDU519TUjII6MFJTUzPlSKvkM4CXE2rraxMrhRuOclzdsH2upDWJYMj1xCSpl5KMT6XnHtbiMdNIhe43xxLCntcyNVxwRkI5IJIxAxh2YORA4mbyctvXSFoe+OOQxzDVWcn2BfmOEQWxch6z/e3uzfg28DPghZK+RpQL7juB/ooJ1rppu9UEa0nbp0jaG8D2U5JGep53KpORVIjJ/gm4StIZxPXvPYRuwbOBKmUyuxFZCC8jPtfzyFzOUmBtlu3tOvTz+XJgOwXePz7pVzABbJ8BnCFpHdtXtmsnaW/bBw9xaFU4ldDPOJrJ/06uYPt9kraFyKDQeIXSv6R/C6R/Y0j6GPEZLl/KJFyMFqVxFURcB8nCxL1cThXnmpqaoVMHRmpqaqYiM4ha+9/Y3iCl3x404jF1pU1A50oqBjRs75r+32BQY2zDHNvnDLnPuYmha6zYPpW4ES+276Th0lQT7CfpvUSJ3aLECvzjDD+IlXOEpP2JSWy+ytuU7WX7JEnXEpMSAZvb7jUbAKpNsB5JZShFdsratE/RHxadymSKzME70r+CM4Y6wgHTrUzG9v2EQG+75z8taVlJC9hu6WLUKtvP9nVJj2dkdAqKJLYGplpg5Cnb3+vTsZ5ImR3FObkC2fUCwPaX02Otyq1OJgIKB9PshPdQWXi5iohrP15Q1l+uHzQvsBQR6M+p4lxTUzN06sBITU3NVOQx249JQtKCqbxklVEPqgJ9C+hIWg1YlayUyPasvoxyPBdJ+gbhmNF2MvccZug2gqm0YhfGa1XsPOyxTGHeQtTpFw5C+9n+8QjHA/Aawu75rTRPQpqCo2kidBXeo94AACAASURBVJft70haH9hY0j9y8eaKdJ1gEZlovwBWkHQFMVEZpaUxdCiTKSaEBZIWTftz7YK5nb92K5ORdCIww80uZ4eVrgF3AldI+gXwSLHT9uHZcXI753kIa9Z7+vx6+s1UnCWfKenjRKbXRB2gCg4AzgWWlnQSsB7QJNwsaR0im3NcuZXtOURwc1u601bEdUDk+kFPAffafqrUpopzTU3N0KkDIzU1NVORv0l6PlGKcr6kB4A/j3hMVehLQCetOK9PBEbOJsTLLgcGFRgpVg/XzPYNsnRnbmMUN+lnAJcBF/AcLm/qwuKERsUdRJbWspJke+iBrIytCQveliv4GacDa0paEfg+Ebg4GXhnj/3tz/gJ1odKbW4lgkirEN/l24kJ8tDppUwmBYd/SLhcIOl+YEfbtw5vxAOjY5lMYnWPdzl7XalNkVUzD41MmzL5/qcIzZHTJz70/9/enYfJWZb5Hv/+woAssg+CzrAlsggYIASBgCOLyHFjFEEGUdwHhQNRjjg6OoPOhSLjco3CiOBBRtTxIAoOiyLKkaAgJCHsCGcQRAZxQVEiDPvv/PE8RSpNp7uru7reStXvc125ut+n3n7qTqcrXe/zPvd990STr+EVaRXkPr5trNMOUOWL7EvrjrHdKa/J+XWHULt/YepdiQDuoYeLDrYn8l5tIp1rInouCyMR0Xdsv7Z++pFamX1dypv/ftetBZ2DgR2B62y/VaWrxFe7GOdyGkjdWdn0rJ1pmzVtD3o3oKm6GvhErUuxBqUbw5Usq7fRhJsphSV/M855T9VaHwdRtpKfotqhphO2vy9pCSu4wJK0PfAV23MoCySt8SWUnQO91kmazBnAcbZ/CFB31nyRZv99u2K8NJlqhqT1bT8ATxckX+59e1u6xQp31YzcgbOS6LsdI55AB6iJknSZ7f0oi1Qjx9qfc8pdiRijiOsk5uqWcTvXRDQhCyMR0ddGVlzvZ11c0Plv209JekKlU8pvgE27FedoJL2S0qWgPXVnZF7wUJD018CvbF8DPW9n2nKRpFfY/k4Dz72yeCnwEkn/aPufaveDLRqOaT3gNkmLWP4iZGS73sdrXZAjWNadY9XJPGHdIn/xyHGVri/frJ/vzLKLzXUoBRF7rsM0mbVaiyL1nMslrTXNIfbEBNNkPg38RNK5lH+7g4GPjZhnhbtqJF3IGDsvRvmZ7Cfnjn9K7001xVXS6pTX3p/Xf/P21+RfjDh93HSrCVphEdemTKRzTUQTsjASETENprigs7juPPkipVL7nyhFXKeFpC9Q3qztQylgeTCwcLqebyWwG/BCSX9m++UNxTAf+HtJjwGP1zHbXqehePrRByl1PPalFPdbSrmY3LXBmE6Y4HlvpaRTfMz2XZK2pFzgdtMBLOsG0X53eCnw911+ro5MME3mTkn/wLLvyxspd78HwbhpMrbPlrSYZSmNB9m+dcQ8Y+2q+VTr64BNWLbr8DBKIc6ek3QKYy/WHFs/9l2x9S6luB4JvAd4HuV3e2th5EHg1BHnjpZu1XE3oXGKuPaL0TrXRPScmk3FjYiIsUjaAljH9rS1qZR0o+3ZbR+fDXzX9oun6zn7haQZwO62r2o6luiMpCW250i6zvbOdewG2zs2HdtESFoN2Loe3m778bHOn+RzLKEsvvRVTQlJVwEfGnFB/3Hb89rOWR/4KKVuCpSaOx+ZRIHaviPpBmDvEWkyC2y/sO2czUb7Wi9rszrqz/vIMUmLbc8dcc4zxnpB0pvHetzNttoeU+220kpx3bGV4mp7/0nMdYztU8Y5Z0/bV443NoHnerqIq+3lirh2Gne3aAWda2yPXByK6KnsGImI6DPtuca2fz5ybBr8d/34sKTnUbpDPHeanquv1JSlfwVGFjVsnKQDgVaxvcttX9RkPH3ocUmrsKwjy0Ys6wTTU5J+bHsvSUtZ/o64GGWnT10I+DLw83rOppLebPuKbsdm+1t9mCo3kTSZWZQUwhmU96v7UXZPzO5ZlNNn3DQZSnpU62dpDWBLSuHc7dvOmciumrUkzXRp+U3dndRISlI/L3xMQNdSXGtNofHSck7hmXWARhsbT7eKuHbTRDrXRPRcFkYiIvpEh/nH3XRRTd35Z8r2XigpNcPiMkmvA85ruKPJ0yR9gpIS8rU6NL/eLfxgg2H1m89RWmc+R9LHKBeXH24iENt71Y8r6gwy0qeBl9m+HUDS1sDXgV26HNpjfZoqN5EL+q8B76MUtG1kwWu6TCRNpn33CICkOTwzleJtlF0151EWUX5Ux9q9l1J8807K75TNKSkdjamLmH/HMxcG+rkTWtdSXMdKy6k7POYBG2n5VsvrUHZXdKxLRVy7ZoKdayJ6Lqk0ERF9QtJ8luUf/7LtoQeBL07XNtPa0ePdwItZ9ub6NNuPTMfz9Zt6l38typ2rR1jBXf4ex3QjsJPtp+rxKpQt3INwt7xrJG1L2Ukg4DLbK0Vng1ba2nhjE5hHlO4mM2sB2s2ATWwvbDun71LlJpIm09qF00R8020iaTIr+LqbRi6YjHP+KbaPkfQsYNs6fJvtR8f6uukm6VLgHMrC17sorXB/65WkE9dUU1zHSsuR9BLKosm7gC+0fdlS4ELb/9nhc32TUmPoVEr9rPnAXNt/M5nYIwZZFkYiIvrMRPKPu/x836C86WoV53sDsK7t1/cqhlheXRjZ2/bv6/EGlHSaLIwMAElfouyCaL3mDgdWGdGVZCLznFbn2df2C+qCw6W2d2075xrbu0m6mlKI83fALbaf342/y2RImgt8iNJFqLV72e0/35L2oxQKvYzlO/yc17tIp8eIGgtPp8nY3r7tnPbdAjMoKRQb2j6gg+dZAuwFHAdsbvudkrYCtmkyNU/StbZ3aV8MlLSo/ee2H6m0196L8m/3Y9vnT3KehbZfJOlayk6upcBPbW/bds7m3dhZIenPKUVcX0pZQL4UOLb1uyUilkkqTURE//mSpA8Dm9n+2x68kd3B9nZtxz+UNLL7wUCrF5Rbsfy27q7Xe+jAScB1Km2fRak18oEG44nuejdwNHBsPf4R8PlJzLNbqwAtPN3dZGRLzlaq3CeBJZSLuqZT5SaSJvNWyi6HVdvOMSVtZKU2wTSZ9rSsJyg1RyZTRPcsSurHHvX4Xko73CZrFrUKDd9X69/8ktqhqF9J+jzwfErKG8CRkl5q++hJTDeRtJyHJX2SZ9YG6jTdaBvbh7cPSNoT6KiIa8QwyI6RiIg+I+kcypulI2zvIGlN4CrbO03T830VONX21fV4N+Bo20dMx/P1G0nvoGwv/kvgemB34CdN57tLei7LWs8utP2rJuOJ7qoLGC+gXPTfbvuxScxxDaUewaK6QLIRZcfIzm3nPKuVOlFTKlYHHmkynWIiaTKSbre9Ta9ialqnaTITnHMJ8JTtueqj7k2SXkVZDNyUUlB0HeCjti9oKqbxSLoNeEGrDpVKR7NbbL9givNuwShpOd1KN1Lt3jXeWERkx0hERD+aZftQSYcB2H5YIyqndUPbdu5Vgask/aIebw7c1u3n62PzKQsQV9vep9at+HjDMUFpYQjld/U8SQORRhBQ75J/AfgZZUfQlpKOtP3dDqeaSAHan1A7WdTFkEfrBXOTF0YnSPrfjJ0mc5Wk7UYWJR0EK0iT+WV97EKW72y0HNsHdvJUlAK8a7TmlDSLtu95E9p2P/6RkkqyMrgD2AxopbdsWsc6pol1ntvQ9pmS5tteACyQtKiD5+h6EdeIQZeFkYiI/tOrN7KvGv+UofCI7Uckte6u3yap0TvVtQbFbOAWBiyNIIDSlWYf23fA06/xi4GOFkZsf63WKWgVoH1NqwCtpE0o3azWkLQzy3e5WrMrf4vJm0iazO7A9ZLuovz/1yqKPAh1dsZKk/lU/XgQsAnL6tAcBvx6tMkkrWn74VEe+izl+3sJpSX01ygFb98yleCnStI/AydSWsVfQvm/7r22vzrmFzagbaFqbeCnkhbW493osLuTOus8N9V0o9WAZ1Ou9dp/3h6kLKBGxAhJpYmI6DOS9qfc9d2OUihtT+Atti9vMq5BJel8yoXaeyjtMx8AVrX9igZjunVE3ZcYICMLTdYdYQs7LT5ZF1T+y/ajkvamXGCebfsPkt5MuQCeCyxi2UXYUuDfmtx9NJE0GUmbjzY+LK0+JS22PXesMUnzKPVinm17M0k7AkfaPqrtnJsoXU52p/wMXG37/l78HVZE0vW2d5L0WsoC/XHAFU2m96xI7RKzQnU3x0Tnau88dy/LXpPP6DzXrXSjbhVxjRgGWRiJiOhDkjakj97IDov6Jnhd4JLJ1HzoYhxnAp8exDSCeLqbzObANyh3nw8BfgH8ACbeeUXS9ZSFjy0ouw4uALZvX9ST9DrbkynaOW0knQV8cth+vjtJk5H0U+CVtu+sx1sC32mvaVFrzBwMXNBWP+Rm2zu0nfNlSg2pCadhTLdWjDWd6pu2L2m67slUSfqJ7T3GP7O3nedq3aH3M/UirhEDL6k0ERF9onYmaHdf/biZpM1sL+l1TMNA0u6UInpLbS+QtA6wM3BNg2GdDfxE0q8YvDSCKBcovwZad6N/S2nb+mo6S5l6yvYTKm1ET7V9SqtDTZu/rD/TSyldMOYAH7B96VT/ElMwyGkyY+kkTea9wOWS7qR8fzYHjhw5oe17RpSgenLEKbsBh0u6G3iI/vheX1SLmf438O568f5Ig/F0w+rjn/K0X0la2/ZSlQ50c4AT23/HS9oaOA3YuC4izQYOtH1ih3F9jVLE9VW0FXHtcI6IoZAdIxERfUKlNSuUN1hzgRsob2JnA4snejcqOlMvJOeM6DawuMmq/ZLuoGwvv4m2dqbZEh3t6o6BfwE+BLza9l2j7Bi4wfaOkg6gXBh9GPhKwz/fSZMZJ02mjj2LUosF4LaRnYQkfRP4DHAqZQFkPjDX9t+0ndOX32tJGwB/tP2kSue1dVbmzluddHqRdKPt2ZL2otRa+STwj7Z3aztnAXA8cPqKdgNN8Lmutb1L6znr2HKpfBFRZMdIRESfsL0PgKTzKBfqN9XjHYCPNBjaoJPb7hLYfkpS078ff9vPrStjampaxDGUFJinf9Y67DgCpTbOu4CP1UWRLYGvjHy6+vEVlPojt0jd73LViaYvyvvAWpJmjkiTWav9hLpYcBywue13StpK0jZtHV2g/Nt/llK4815KTaqj2+fpx++1pFWBNwJ/VX8UF1C6NA2L1q6eVwJn2L5Y0sidIGvaXjjipfrEJJ5rqkVcI4ZG02/8IiLimbZpLYoA2L5Z0gvG+oKYkjslHUvZtgxwFHBng/EAXCfp34ELWXE701h5fRs4k/Lv+9Q4566Q7VslvQ/Yui6g3m775BGnXSvpUmBL4IOS1p7Kc0ZXTCRN5izgWqC1U/Be4Fzg6YWRWnvq8GmPtvtOo3Qk+nw9flMde0djEU1dJ4uN90o6HdgfOLnuDJox4pz7a3Hl1k7Gg1mWXtuJEyWtC/wvlhVxfe8k5okYeEmliYjoM5K+TskFb+WfH07pOnBYc1ENLknPAT5H6Uhj4DLgPbZ/02BMZ40ybNtv63kw0XWSrmnfNj+FefYGvgz8nHJhtinwZttXtJ0zA9gJuLN2q9kQ+AvbN9bHt7d9y1Rjic5MIE1mse25kq5rS6VYrkBpLaw63/Yf6vH6lKLNff3/xGiFVleG4quSNgZaKSgL239HSNrB9s0TnGdN4H8AN9n+T0nPBV7YqvtT/x3XB84A5lE6pd0FHN6PO4AiBkUWRiIi+oyk1YF3A39Vh64ATrO9shenWylJ+qDtk5qOIwaHpDcAW1FSH9p3BHVUYFnStcAbbN9ej7cGvm57lw7mmHBthOiO0dJkKDsFL2o75ypgP+BK23Pq7oGv235R2zlPL5qMNdZvJC0BDrH9s3o8k9Kdpm9/DiW9nlIL5HLKIuSLgeNtf3ManmsJ8Anb35C0FjDD9tJJztWtIq4RAy8LIxERKxlJ37L9uqbjGBZNXDjmzexgk3QSJX3gZyxLa3GnLTTbCyqONTbOHH1/IT1oJJ1DSZM5or6+1wSusr1TfVyUn4+3A9tRFtD2BN5i+/K2eW4A9rb9QD3eAFhg+4W9/Pt0StJ+lFSh9lSit9r+4Zhf2KD6vd6/tUukdtL5wXTscqkFwZ8cWYx3knN1pYhrxDBIjZGIiJXPzKYDGDJNFKr8IvXNLIDtG2vNkSyMDIZDgJm2H5viPIsl/W+WT7tb3OEcuUPWe7NsHyrpMADbD7cXxLVtSccDe1NaG4uSMnP/iHk+TWnrfW4952DgY734C0yF7ctau2Tq0O0jU4n60IwR6ZW/45l1QbrFwA9q/aBzKKm15QH79x3O1a0irhEDLwsjERErn1zI9FYT3++8mR1sNwPrAVOtY/NuSheSY+vxj1hW0DL612OS1mBZYc1ZtKVUVUsoi2cXr2gS22dLWkypjwRwkO1bpyPgbqrpokcBe1G+Bz+S9IU+Txe9RNL3gK/X40OB707j8x1aP7Z3GTKd3xjpVhHXiIGXhZGIiIixNbFjJG9mB9t6wG2SFrF8jZGO2vXaflTSqZSCwU9R7rx3ugtlqrtWogN1Z8gXgEuATSV9jZomM+LU3YDDJd1N2TEgymaS2W1zbQb8Cbigfcz2L6b1LzF1ZwNLKV1SAN5AaTN9SGMRjcP28ZIOoizmQGmze/40PZ1sb9mluY6mFHHdVtK91CKuXZo7YqCkxkhExEomNQF6S9Lf2/54j59zJulIMLAkvWS0cdsLOpznlZSL7J9RLpy3BI60/d22c0S5EJpp+5/qxfQmthdONv6YGkk3sXyazNUj02QkbT7a17b/H1Dnab2RX4Py73+77e2nIeyukXSr7e3GG+snkk62/XfjjXUw317AVrbPqvVKnm37rvrYBrZ/L2kesAVtN7Jtn93Bc8wADu5GEdeIYZCFkYiIlYykl7Xa+kX3STqKkj/+Lds9TV+RdNyIoTUoeewPAdj+TC/jif4m6TbgVbbvqMezgIttb9t2zmmU3ST72n5BbQV6qe1dR500pl1ts3uq7UVdnncOcJTtd3Rz3m6T9FXK3//qerwbcLTtI5qNbMVGK8LdaaHjtq87AZhL6US0taTnAefa3rPtnK8As4DrgSfrsG0f+4wJx36uxd0o4hoxDJJKExHR5+qb6IeBf7V9cxZFpp0o26UPBzpKbeiCtevHbYBdgf+o8bwJyB3+lZykH9veS9JSlq9d00qTWKfDKZe2FkWqOykpCu12q+1er6M8yQOSVus4+OimcdNkJsP2krrI0O92Aa6S1Er52Qy4vbUDZqrfh26S9G5KPZSZkm5se2ht4MpJTvtaYGdKHRls/1LS2iPOmQts56nfwe5WEdeIgZeFkYiI/ncq5Y3jm4BJbduNibP9rw0+90cBJF0BzGlte5b0EWCFRRhj5WB7r/px5EXQZC2W9B3gG5SFlkOARbUWArbPAx6XtArL6tVsxLIWwdGMA7oxyYgdZjOAOcAvuzH3NPsfTQfQgX+nFFk9CfhA2/jS9sUFSeu32iZPwGO181DrNbnWKOfcDGzC1GtLdauIa8TAy8JIRESfkXSI7XNbx7YXSdpisrnMMTZJGwMfB55n++WStgP2sH1mg2FtzPJFMR+rYxHtVgd+DbRqlvyWkn71asrFz3nA54DzgedI+hilpeuHex9qtHSxVlD7AtsTlMXTb3Vp7mlj+25JOwIvrkM/sn1DkzGtiO0/An8EDhvn1MsoC1MT8Q1JpwPrSXon8DZKi3YkXUh57a4N3CppIVMr0NytIq4RAy81RiIi+swKcpmfMRbdIem7wFnAh2zvKOnPgOtsv7DBmD4EvJ5yQQvwGuAc2yc1FVOsvCRtC+xHSdm4zPZPGw4phpik+cA7KQt3UFJLzrB9yoq/qr91WhRd0v7Ayyivye/Z/n4df0kdOxl4f/uXACfb7jhVaqpFXCOGRRZGIiL6hKSXA6+gXBCf0/bQOpRc4xc1EtiAk7TI9q7tb2wlXW97p4bjmsOyO6pX2L6uyXii/0jaEjiGZ170HNh2zizgv2pr372B2cDZtv/Q22ijW9p2FYyq010FvVZrdexh+6F6vBbwk36qLdKpTm5e1L/vI7aflLQNpabUd20/PtZ8kyn22q0irhHDIKk0ERH945fAYkrBz2vbxpcC720kouHwkKQNWVaDYXfK1ulG2V5CLc4XsQLfBs4ELmTFdUO+BcyV9HzgdOACSt2EV/QkwpgOn6ofD6LUofhqPT6MklrV78Syi3Tq52ooliZcAby4doi6hPJ7/1BKQd5uF3vtVhHXiIGXhZGIiD5Rc6xvkPTvrTtH9Y3Tph0UdYvOHUe5WJwl6UpgI0odhoh+94jtz41zzlO2n6gFWU+1fUqrQ02snGwvAJD06RGtWC+UtLihsDpxFnCNpPZUwSZrOnVDJws7sv2wpLcDp9n+Z0nX18cmVOy1A90q4hox8LIwEhHRf74v6UDK/9HXAr+RdJXt7BqZBrXF5Uso25kF3N6+pTmij31W0gnApSxfoLF9p9Hjkg4DjqAUZQVYtXchxjRaS9JM23fC06lVo3U46Su2PyPpckpbdIC3rgypgrW708Ysn7bWajm8X2dTaQ9KS/i317FV6nwTLfY63hN0tYhrxDDIwkhERP9Z1/aDkt5BqQVwwogttdEFrZamo9haUqvVaUQ/eyGljfe+LEulcT1ueSvwLuBjtu+qF89f6WmUMV3eC1wu6U7Kou7mwJHNhjS2urhwi+1tWYlSBSUdA5xASVVqf63NBuhwN8d7gA8C59u+RdJM4IddDBdKulWriOtr2sZbYxExQoqvRkT0GUk3UarVf5nSKWXRZIquxdgknVU/fQ4wD/i/9Xgf4Crbr2oksIgJknQHpX7AY+OctxqwdT3MjqgBIulZwLb18Dbbj451fj+Q9B/AMW27Lfpefa3tZvt3XZzz2QC2/9StOUd5jq4UcY0YBtkxEhHRf/4J+B5wZV0UmQn8Z8MxDRzbbwWQdCnl4vK+evxc4N8aDC1iom4G1gN+s6ITaieaLwM/p9wt3lTSm21f0YsAY/pIWpNSI2lz2++UtJWkbWxf1HRs41gfuKWmdzzUGuzz9I576FJRbkkvBM4GNiiH+i1whO1bujF/fY5uF3GNGHjZMRIREUNN0k9tv6DteAZlq/cLxviyiMbVOg2zgUWsoH6ApGuBN9i+vR5vDXzd9i69jTa6TdI5lDpUR9jeoS6UXNV0q/Hx1JpOz9AqKtuPJJ1JqUN1Mcu/1j4zibmuouwG/WE93hv4uO153YkWJK1LWYDqVhHXiIGXHSMREX2mXricBmxc3+zOBg60fWLDoQ2qyyR9D/h6PT4U+EGD8URM1AkTOGfV1qIIgO3/JynFVwfDLNuH1uK61E4nfd/21vYCSZsAL6LU6Vhk+1cNhzWeX9Q/q9U/U7FWa1EEwPblkrpaNLdbRVwjhkl2jERE9BlJC4DjgdNt71zHbra9Q7ORDa5aiPXF9fAK2+ePdX7EykLSlyjFIr9ahw4HVrH9tuaiim6oOw/2o6RdzpE0i7Ib6EUNhzamWlj8Hyl1nQS8BPgn219qNLAJkLSm7YenOMf5lMKzrSLIbwR2sf3aqcYXEZOXhZGIiD4jaZHtXSVd17Ywcn2/b4+OiN6Q9GPbe0laSrnj/vRDgG2v03bus4CjWdYa9UfA51eGIp2xYnVnyJso7V63o7Rs3hN4i+3LGwxtXJJuB+a1CplK2pCSArRNs5GtWG2veybwbNubSdoRONL2UZOYa33goyz/mvyI7Qe6FnBEdCypNBER/ef+eufPAJIOBu5rNqTB08nFZUQ/sb1X/bj2BM59VNKpwGWUnSO3j9fFJvqfbUs6Htgb2J3y/9Z82/c3GtjE/A5Y2na8tI71s38BDgAuALB9g6S/msxEdQHk2FoH5CnbS8f7moiYflkYiYjoP0cDZwDbSroXuIuy/T26qJOLy4iVlaRXAl8Afka5eN5S0pG2v9tsZNEFS4CZti9uOpAO3QFcU9v2Gvhr4EZJx8HkCpr2gu17RpRweXIy80jaFfgSpUMMkv4IvM32tVMOMiImLQsjERF9pHZEmWv7pbUY24zcTZpeknandKFZWo/XprTvvabZyCK64tPAPrbvAKi70S4GsjCy8tsNOFzS3ZS2t63dbrObDWtcP6t/Wv6jfuznRep7JM0DXIsXzwd+Osm5zgSOsv0jAEl7AWdROkxFRENSYyQios9IWmx7btNxDAtJ1wFzXH8h1sWpxbbnNBtZxNS1aha1HQtY2D4WKydJm482bvvuXsfSTZJOsX1M03G0k/TnwGeBl1IWoC4Fjp1M69v2+mFtY0vyOyeiWdkxEhHRf34g6X3AOZS7gABM5g1YTIjcdpfA9lOS8vsxBsViSd8BvkFJWzgEWFQ7MWH7vCaDi8lb2RdAxrBn0wGMYhvby6W0StoTuHIScy2QdDqlRbwpLeIvlzQHwPaSqQYbEZ3LjpGIiD4j6a5Rhm17Zs+DGQKSzgMuB06rQ0dRUg9e01hQEV0i6awxHnba9ka/6cfdE6PFNNk4Jf1wjIdte9+OA4yIKcsdsYiIPlLTON5oezJ3oWJy3gV8Dvgw5e7dZcDfNhpRRJfYfmvTMUSsrGqb3nnARq3isNU6wCqTmdP2Pt2ILSK6KwsjERF9pKZxnArsPO7J0RW2fwP8TdNxREwHSVsCxwBb0Pa+z/aBTcUUMQ6Nf0rPrAY8m/LaaS8O+yBw8GQmlLQecATPfE0eO+koI2LKsjASEdF/LpP0OuA8J99x2kh6v+1/lnQKZafIcvImNQbEtyldMC4Enmo4lggkHWL73DHGPttAWKOyvYBSE+TfuljT5TvA1cBN5DUZ0TdSYyQios9IWgqsBTwBPMKyFozrNBrYgJH0atsXSnrzaI/b/nKvY4roNknX2N6t6TgiWrpZc437KAAADJ9JREFUr6NXJG0EvB/YHli9NT6ZeiD9/neNGFZZGImI6EOSNgC2Yvk3YAuaiygiVkaS3kD5v+RS4NHWeDpfRK9JejnwCuD1lK5rLesA29l+USOBTYCkSykxv49Sl+rNwG9t/90k5nov8CfgIpZ/TabzXESDkkoTEdFnJL0DmA/8JXA9sDtwFbBfk3ENqtohYLRUmnQGiEHwQuBNwL4s27bvehzRS78EFgMHAte2jS8F3ttIRBO3oe0zJc1vS69ZNMm5HgM+CXyIZb97DKTzXESDsjASEdF/5gO7Alfb3kfStsDHG45pkL2v7fPVgddR0pgiBsEhwEzbjzUdSAw32zcAN0g6H3jI9pMAklYBntVocON7vH68T9IrKYs8G0xyrv8FPN/2/V2JLCK6IgsjERH95xHbj0hC0rNs3yZpm6aDGlS2rx0xdKWkhY0EE9F9NwPrAb9pOpCI6lLgpZR0EoA16ti8xiIa34mS1qUsapxCSf+Z7C6XO4CHuxVYRHRHFkYiIvrPf9V2ft8Gvi/pAaBb1fBjhFrPpWUGsAuwbkPhRHTbesBtddt/ez2DtOuNpqxuu7Uogu0/SVqzyYDGY/ui+ukfgX2mON1DwPU1jbP9NZlOaBENysJIRESfsf3a+ulH6hundYFLGgxp0F1Lye8WJYXmLuDtjUYU0T0nNB1AxAgPSZrTKgAsaRfgvxuOaUyStgZOAza2vYOk2cCBtk+cxHTfrn8ioo+kK01ERERERPSEpF2B/0Op0yFgE+DQUdIa+4akBcDxwOm2d65jN9veodnIIqJbsmMkIiKGmqRDgEtsL5X0YWAOcGLamcbKTNKPbe8laSnLd10SYNvrNBRaDDnbi2pR8VbtrNttPz7W1/SBNW0vlNQ+1lGRbknfsP16STcxeie02VOMMSKmIAsjEREx7P7B9rmS9qIUBPwkZcv0bs2GFTF5tveqH9duOpaIdrWeyHHA5rbfKWkrSdu01fHoR/dLmkVd0JB0MHBfh3PMrx9f1c3AIqI7ZjQdQERERMOerB9fCZxh+2JgtQbjiYgYZGcBjwF71ON7gcnU6uilo4HTgW0l3Qu8B3hXJxPYvq9+vHu0P63zJP2km4FHxMRkx0hERAy7eyWdDuwPnCzpWeTGQUTEdJll+1BJhwHYflgjclT6iaQZwFzbL5W0FjDD9tJpfMrVp3HuiFiBvPGLiIhh93rge8ABtv8AbEApsgeApPWbCiwiYgA9JmkNlqWlzKKtbW2/sf0U8P76+UPTvCgCo9QfiYjpl640ERERY5C0xPacpuOIiBgEkvYHPgxsB1wK7Am8xfblTcY1FkmfAO4HzgEeao3b/v00PFd+50Q0IAsjERERY5B0Xas9Y0RETJ2kDYHdKV2SrrZ9f8MhjUnSXaMM2/bMaXiu/M6JaEAWRiIiIsaQu3cREVMnaVvbt0ka7f9TA79vL0I6yCRtDOxaDxfa/k3bYzvYvrmZyCKGVxZGIiIixpCFkYiIqZN0hu2/lfTDFZyyIXCD7Tf1Mq6JkjQP2IK25hW2z57EPK+ntIW/nLJj5sXA8ba/2ZVAI2JSsjASERExhmxrjojoDUmX2n5Z03GMJOkrwCzgepa1eLftYycx1w3A/q1dIpI2An5ge8duxRsRnUu73oiIGGqSvjLyDuWIsf0aCCsiYiBJWhM4Dtis7iDZCtjG9kX9uChSzQW2c3fuKM9oT50Bfkc6hUY0Li/CiIgYdtu3H0haBdildTwdXQciIobYWcBjwLx6fC9wYnPhTMjNwCZdmusSSd+T9BZJbwEuBr7bpbkjYpKyYyQiIoaSpA8Cfw+sIenB1jDlDfsZjQUWETHYZtk+VNJhALYflqSmgxqNpAsphWHXBm6VtBB4tPW47QM7ndP28ZIOAvaqQ2fYPr8b8UbE5GVhJCIihpLtk4CTJJ1k+4NNxxMRMSQek7QGZcEBSbNoW2zoM5+iLJifDLymbbw11jFJJ9v+O+C8UcYioiFJpYmIiGG3UNK6rQNJ60l6zVhfEBERnas7Q74AXAJsKulrwGXA+xsNbAVsL7B9ObBq/XxB29gak5x2/1HGXj7ZGCOiO9KVJiIihpqk623vNGIsnWgiIqaBpJuAvYHdKTsvrrZ9f6NBrYCkdwNHATOBn7U9tDZwpe03NjFXRHRfUmkiImLYjbZ7Mr8fIyKmxxJgpu2Lmw5kAv6dUhj1JOADbeNLJ1GYe0JzSVrf9gOTjDciJik7RiIiYqhJ+hLwB+Bf69DRwAa239JYUBERA0rSbcDzgbuBhyi7Rmx7dqOB9QlJS2zPaTqOiGGTO2IRETHsjgH+ATinHn+fsjgSERHdd0DTAfS5vuzQEzHosmMkIiIiIiKiD2THSEQzsmMkIiKGmqQfUttGtrO9bwPhRERERESPZWEkIiKG3fvaPl8deB3wREOxRETEcEsqTUQDkkoTERExgqSFtl/UdBwRETF4JK0CbEzbTWrbv6iPbTCJjjcRMUXZMRIREUNN0gZthzOAXYB1GwonIiIGmKRjgBOAXwNP1WEDswGyKBLRjCyMRETEsLuW8qZUlBSau4C3NxpRREQMqvnANrZ/13QgEbFMFkYiImKo2d6y6RgiImJo3AP8sekgImJ5WRiJiIihJOmgsR63fV6vYomIiKFxJ3C5pIuBR1uDtj/TXEgRkYWRiIgYVq+uH58DzAP+bz3eB7gKyMJIRER02y/qn9Xqn4joA+lKExERQ03SpcCbbd9Xj58L/JvtA5qNLCIiBpWkNW0/3HQcEVHMaDqAiIiIhm3aWhSpfg1s1lQwERExuCTtIelW4LZ6vKOkzzccVsTQSypNREQMu8skfQ/4ej0+FPhBg/FERMTg+hfgAOACANs3SPqrZkOKiCyMRETEULP9P2sh1hfXoTNsn99kTBERMbhs3yOpfejJpmKJiCILIxERMfRqB5oUW42IiOl2j6R5gCWtCswHftpwTBFDLzVGIiJiqEk6SNJ/SvqjpAclLZX0YNNxRUTEQHoXcDTwF8C9wE7AUY1GFBHpShMREcNN0h3Aq23njl1EREwrSXvavnK8sYjorewYiYiIYffrLIpERESPnDLBsYjoodQYiYiIYbdY0jnAt4FHW4O17khERMSUSdoDmAdsJOm4tofWAVZpJqqIaMnCSEREDLt1gIeBl7WNmRRjjYiI7lkNeDbl+mvttvEHgYMbiSginpYaIxERERERET0gaXPbdzcdR0QsLztGIiJiqEn6S0p+95516EfAfNv/1VxUERExoB6W9Elge2D11qDtfZsLKSJSfDUiIobdWcAFwPPqnwvrWERERLd9DbgN2BL4KPBzYFGTAUVEUmkiImLISbre9k7jjUVEREyVpGtt7yLpRtuz69gi27s2HVvEMMuOkYiIGHa/k/RGSavUP28Eftd0UBERMZAerx/vk/RKSTsDGzQZUERkx0hERAw5SZtTaozsQelGcxVwjO17Gg0sIiIGjqRXUWpZbUr53bMO8FHbFzQaWMSQy8JIREQMNUlfBt5j+4F6vAHwKdtvazayiIiIiOiFpNJERMSwm91aFAGw/Xtg5wbjiYiIASVpa0mXSbq5Hs+W9OGm44oYdlkYiYiIYTdD0vqtg7pjJO3sIyJiOnwR+CC11ojtG4G/aTSiiMgbv4iIGHqfBn4i6dx6fAjwsQbjiYiIwbWm7YWS2seeaCqYiCiyMBIREUPN9tmSFgP71qGDbN/aZEwRETGw7pc0i1LsG0kHA/c1G1JEpPhqRERERERED0iaCZwBzAMeAO4CDrd9d6OBRQy57BiJiIiIiIiYZpJmAHNtv1TSWsAM20ubjisismMkIiIiIiKiJyQttj236TgiYnlZGImIiIiIiOgBSZ8A7gfOAR5qjddW8RHRkCyMRERERERE9ICku0YZtu2ZPQ8mIp6WhZGIiIiIiIiIGFopvhoREREREdEjkuYBW9B2LWb77MYCiogsjERERERERPSCpK8As4DrgSfrsIEsjEQ0KKk0ERERERERPSDpp8B2zkVYRF+Z0XQAERERERERQ+JmYJOmg4iI5SWVJiIiIiIiYhpJupCSMrM2cKukhcCjrcdtH9hUbBGRhZGIiIiIiIjp9ilAwMnAa9rGW2MR0aAsjEREREREREwj2wsAJK3a+rxF0hrNRBURLVkYiYiIiIiImEaS3g0cBcyUdGPbQ2sDVzYTVUS0pCtNRERERETENJK0LrA+cBLwgbaHltr+fTNRRURLFkYiIiIiIiIiYmilXW9EREREREREDK0sjERERERERETE0MrCSEREREREREQMrSyMRERERERERMTQ+v9XX6NJCoOq6AAAAABJRU5ErkJggg==\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(15,15))\n", "# Heat map of the correlations...\n", "g = sns.heatmap(corr, cmap='coolwarm')\n", "#Apply ticks\n", "g = plt.xticks(range(len(corr.columns)), corr.columns)\n", "g = plt.yticks(range(len(corr.columns)), corr.columns)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "What can we say from the correlation of these variables?" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Eigen Decomposition " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As we saw last time, we can decompose a square matrix into a matrix of eigenvectors and eigenvalues. Here we will use our covariance matrix $\\Sigma$\n", "\n", "
\n", "
\n", "\n", "$$ \\Sigma = \\textbf{V}\\Lambda\\textbf{V}^{-1} $$\n", "\n", "
\n", "
\n", "\n", "Where $\\textbf{V}$ is a matrix of eigenvectors and $\\Lambda$ is a diagonal matrix of eigenvalues.\n", "\n", "
\n", "
\n", "\n", "When decomposing a covariance matrix, we are aiming to find the eigenvectors that maximum the variance of data. In a sense, the eigenvector with the largest eigenvalue tells most of the story in the data. What we are interested in is finding a single vector that broadly convey most of the information without having to use all of the data. " ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "# Decompose the covariance matrix\n", "sigma = D_sub.cov()\n", "evals,evecs = la.eig(sigma)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's look at our eigenvalues. What do these tell us? " ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([1.6705711e+05, 5.1008294e+04, 1.6071909e+04, 2.6249700e+03,\n", " 1.4014640e+03, 9.0077300e+02, 7.0484600e+02, 5.6308500e+02,\n", " 3.3004100e+02, 2.2765100e+02, 2.3428700e+02, 1.6815800e+02,\n", " 1.3379300e+02, 1.0015100e+02, 8.4977000e+01, 5.8784000e+01,\n", " 5.2017000e+01, 4.7654000e+01, 4.0190000e+01, 3.6322000e+01,\n", " 3.3430000e+01, 2.7946000e+01, 2.4945000e+01, 1.9384000e+01,\n", " 1.8430000e+01, 1.7319000e+01, 1.4263000e+01, 1.3373000e+01,\n", " 1.0286000e+01, 9.1440000e+00, 7.3380000e+00, 6.1890000e+00,\n", " 5.8080000e+00, 5.0660000e+00, 4.6990000e+00, 4.3700000e+00,\n", " 3.7230000e+00, 3.1460000e+00, 2.7640000e+00, 2.5170000e+00,\n", " 2.0970000e+00, 1.9050000e+00, 1.6620000e+00, 1.3570000e+00,\n", " 1.1990000e+00, 1.2810000e+00, 1.2870000e+00, 9.6800000e-01,\n", " 6.9100000e-01, 5.8900000e-01, 5.2500000e-01, 4.2800000e-01,\n", " 3.2200000e-01, 2.8600000e-01, 2.1100000e-01, 1.5900000e-01,\n", " 1.5500000e-01, 1.1500000e-01, 1.0700000e-01, 9.1000000e-02,\n", " 8.3000000e-02, 7.8000000e-02, 5.8000000e-02, 4.7000000e-02,\n", " 3.7000000e-02, 3.0000000e-02, 2.6000000e-02, 1.7000000e-02,\n", " 1.3000000e-02, 8.0000000e-03, 2.0000000e-03, 5.0000000e-03,\n", " 4.0000000e-03])" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "evals.round(3)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's think back to what an eigenvalue is. It's the degree to which our eigenvector is being scaled up or down. Given that a covariance matrix is positively defined (why is this?), values are only scale up here. \n", "\n", "What can we say about the eigenvectors with extremely small eigenvalues?" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Explained Variance\n", "\n", "Let's change how we evaluate the eigenvalues. Rather than think of them as scalars, let's think about them as weights. These weights determine the importance of a particular eigenvector. We want to choose the eigenvector that explains the most variation (i.e. tells the most of our data's story!)." ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "# Let's convert our eigen values into proportions\n", "variance_explained = evals/sum(abs(evals))" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(10,5))\n", "plt.plot(variance_explained,marker='o')\n", "plt.xlabel(\"Components\") \n", "plt.ylabel(\"Proportion of Explained Variation\") \n", "plt.ylim(0,1)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Proportion of Variation Explained\n", "\n", " Eigenvalue 1 accounts for 69.0% of the variance\n", " \n", "\n", " Eigenvalue 2 accounts for 21.07% of the variance\n", " \n", "\n", " Eigenvalue 3 accounts for 6.64% of the variance\n", " \n", "\n", " Eigenvalue 4 accounts for 1.08% of the variance\n", " \n", "\n", " Eigenvalue 5 accounts for 0.58% of the variance\n", " \n", "\n", " Eigenvalue 6 accounts for 0.37% of the variance\n", " \n", "\n", " Eigenvalue 7 accounts for 0.29% of the variance\n", " \n", "\n", " Eigenvalue 8 accounts for 0.23% of the variance\n", " \n", "\n", " Eigenvalue 9 accounts for 0.14% of the variance\n", " \n", "\n", " Eigenvalue 10 accounts for 0.09% of the variance\n", " \n", "\n", " Eigenvalue 11 accounts for 0.1% of the variance\n", " \n", "\n", " Eigenvalue 12 accounts for 0.07% of the variance\n", " \n", "\n", " Eigenvalue 13 accounts for 0.06% of the variance\n", " \n", "\n", " Eigenvalue 14 accounts for 0.04% of the variance\n", " \n", "\n", " Eigenvalue 15 accounts for 0.04% of the variance\n", " \n", "\n", " Eigenvalue 16 accounts for 0.02% of the variance\n", " \n", "\n", " Eigenvalue 17 accounts for 0.02% of the variance\n", " \n", "\n", " Eigenvalue 18 accounts for 0.02% of the variance\n", " \n", "\n", " Eigenvalue 19 accounts for 0.02% of the variance\n", " \n", "\n", " Eigenvalue 20 accounts for 0.02% of the variance\n", " \n", "\n", " Eigenvalue 21 accounts for 0.01% of the variance\n", " \n", "\n", " Eigenvalue 22 accounts for 0.01% of the variance\n", " \n", "\n", " Eigenvalue 23 accounts for 0.01% of the variance\n", " \n", "\n", " Eigenvalue 24 accounts for 0.01% of the variance\n", " \n", "\n", " Eigenvalue 25 accounts for 0.01% of the variance\n", " \n", "\n", " Eigenvalue 26 accounts for 0.01% of the variance\n", " \n", "\n", " Eigenvalue 27 accounts for 0.01% of the variance\n", " \n", "\n", " Eigenvalue 28 accounts for 0.01% of the variance\n", " \n", "\n", " Eigenvalue 29 accounts for 0.0% of the variance\n", " \n", "\n", " Eigenvalue 30 accounts for 0.0% of the variance\n", " \n", "\n", " Eigenvalue 31 accounts for 0.0% of the variance\n", " \n", "\n", " Eigenvalue 32 accounts for 0.0% of the variance\n", " \n", "\n", " Eigenvalue 33 accounts for 0.0% of the variance\n", " \n", "\n", " Eigenvalue 34 accounts for 0.0% of the variance\n", " \n", "\n", " Eigenvalue 35 accounts for 0.0% of the variance\n", " \n", "\n", " Eigenvalue 36 accounts for 0.0% of the variance\n", " \n", "\n", " Eigenvalue 37 accounts for 0.0% of the variance\n", " \n", "\n", " Eigenvalue 38 accounts for 0.0% of the variance\n", " \n", "\n", " Eigenvalue 39 accounts for 0.0% of the variance\n", " \n", "\n", " Eigenvalue 40 accounts for 0.0% of the variance\n", " \n", "\n", " Eigenvalue 41 accounts for 0.0% of the variance\n", " \n", "\n", " Eigenvalue 42 accounts for 0.0% of the variance\n", " \n", "\n", " Eigenvalue 43 accounts for 0.0% of the variance\n", " \n", "\n", " Eigenvalue 44 accounts for 0.0% of the variance\n", " \n", "\n", " Eigenvalue 45 accounts for 0.0% of the variance\n", " \n", "\n", " Eigenvalue 46 accounts for 0.0% of the variance\n", " \n", "\n", " Eigenvalue 47 accounts for 0.0% of the variance\n", " \n", "\n", " Eigenvalue 48 accounts for 0.0% of the variance\n", " \n", "\n", " Eigenvalue 49 accounts for 0.0% of the variance\n", " \n", "\n", " Eigenvalue 50 accounts for 0.0% of the variance\n", " \n", "\n", " Eigenvalue 51 accounts for 0.0% of the variance\n", " \n", "\n", " Eigenvalue 52 accounts for 0.0% of the variance\n", " \n", "\n", " Eigenvalue 53 accounts for 0.0% of the variance\n", " \n", "\n", " Eigenvalue 54 accounts for 0.0% of the variance\n", " \n", "\n", " Eigenvalue 55 accounts for 0.0% of the variance\n", " \n", "\n", " Eigenvalue 56 accounts for 0.0% of the variance\n", " \n", "\n", " Eigenvalue 57 accounts for 0.0% of the variance\n", " \n", "\n", " Eigenvalue 58 accounts for 0.0% of the variance\n", " \n", "\n", " Eigenvalue 59 accounts for 0.0% of the variance\n", " \n", "\n", " Eigenvalue 60 accounts for 0.0% of the variance\n", " \n", "\n", " Eigenvalue 61 accounts for 0.0% of the variance\n", " \n", "\n", " Eigenvalue 62 accounts for 0.0% of the variance\n", " \n", "\n", " Eigenvalue 63 accounts for 0.0% of the variance\n", " \n", "\n", " Eigenvalue 64 accounts for 0.0% of the variance\n", " \n", "\n", " Eigenvalue 65 accounts for 0.0% of the variance\n", " \n", "\n", " Eigenvalue 66 accounts for 0.0% of the variance\n", " \n", "\n", " Eigenvalue 67 accounts for 0.0% of the variance\n", " \n", "\n", " Eigenvalue 68 accounts for 0.0% of the variance\n", " \n", "\n", " Eigenvalue 69 accounts for 0.0% of the variance\n", " \n", "\n", " Eigenvalue 70 accounts for 0.0% of the variance\n", " \n", "\n", " Eigenvalue 71 accounts for 0.0% of the variance\n", " \n", "\n", " Eigenvalue 72 accounts for 0.0% of the variance\n", " \n", "\n", " Eigenvalue 73 accounts for 0.0% of the variance\n", " \n" ] } ], "source": [ "print('Proportion of Variation Explained')\n", "for i,val in enumerate(variance_explained):\n", " print(f'''\n", " Eigenvalue {i+1} accounts for {round(val*100,2)}% of the variance\n", " ''')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's change our language a bit here. Rather than referring constantly to the eigenvalue/eigenvector, let's call the combination a **\"principal component\"**." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The above plot and printout shows that **most of the variance (97%) can be explained by the first three eigenvectors**. The rest of the eigenvectors account for very little of the variation. That is, their eigenvalues barely scale the eigenvectors. \n", "\n", "We can read this as there are really only three real underlying dimensions that explain the variation in the data matrix. \n", "\n", "This is useful because we can reduce our 73 indicators down to three principal components that retain and account for the underlying variation in the data." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Generating Scores\n", "\n", "We can now project our data down into three dimensions using our eigenvectors/eigenvalues. Let's subset our matrix of eigenvectors that correspond with the first three eigenvalues that explain the most variation in the data. \n", "\n", "The eigenvectors can be thought of as **_weights_** that describe how each indicator loads onto the underlying dimension. \n", "\n", "
\n", "
\n", "\n", "$$ \\textbf{X}_{n \\times p} \\textbf{V}^*_{p \\times s} = \\textbf{S}_{n \\times s}$$\n", "\n", "
\n", "
\n", "\n", "where $\\textbf{X}$ is our original ${n\\times p}$ data matrix, $\\textbf{V}^* \\subset \\textbf{V}~|~s < p$ of eigenvectors and $\\textbf{S}$ is an ${n \\times s}$ matrix of projected scores." ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "(73, 3)" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Extract the first three eigenvectors\n", "weights = evecs[:,[0,1,2]]\n", "weights.shape" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can now project our data onto these weights to create three variables that project onto these subspaces." ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "(100, 3)" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "X = D_sub.values # Convert data to the numerical matrix\n", "reduced_data = X.dot(weights) # Project data onto the eigenvectors\n", "reduced_data.shape" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
countryyearpolity2regime_typecomp_1comp_2comp_3
0China1995.0-7Non-democracy0.7551750.4602660.316986
1China1996.0-7Non-democracy0.6170210.1185230.277331
2China1997.0-7Non-democracy0.6984670.5554860.188908
3China1998.0-7Non-democracy0.576978-0.0744900.216587
4China1999.0-7Non-democracy0.303260-0.6834030.137371
\n", "
" ], "text/plain": [ " country year polity2 regime_type comp_1 comp_2 comp_3\n", "0 China 1995.0 -7 Non-democracy 0.755175 0.460266 0.316986\n", "1 China 1996.0 -7 Non-democracy 0.617021 0.118523 0.277331\n", "2 China 1997.0 -7 Non-democracy 0.698467 0.555486 0.188908\n", "3 China 1998.0 -7 Non-democracy 0.576978 -0.074490 0.216587\n", "4 China 1999.0 -7 Non-democracy 0.303260 -0.683403 0.137371" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Let's save this to our data to our data frame\n", "def standardize(x):\n", " '''\n", " Set mean equal to 0 and variance equal to 1\n", " '''\n", " return (x-np.mean(x))/np.std(x)\n", "\n", "dat['comp_1'] = standardize(reduced_data[:,0])\n", "dat['comp_2'] = standardize(reduced_data[:,1])\n", "dat['comp_3'] = standardize(reduced_data[:,2])\n", "dat2 = dat[['country','year','polity2','regime_type','comp_1','comp_2','comp_3']]\n", "dat2.head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Validation?" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "g = sns.pairplot(dat2[['comp_1','comp_2','comp_3','regime_type']],hue=\"regime_type\",height=4)" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "f, axes = plt.subplots(1, 3,figsize=(15,5))\n", "g = sns.boxplot(y=\"comp_1\", x=\"regime_type\", data=dat2,ax=axes[0])\n", "g = sns.boxplot(y=\"comp_2\", x=\"regime_type\", data=dat2,ax=axes[1])\n", "g = sns.boxplot(y=\"comp_3\", x=\"regime_type\", data=dat2,ax=axes[2])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**The above poses an interesting question: _Is reduced data still useful even if we can't associate the collapsed dimensions with a concept?_**" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.0" }, "toc": { "base_numbering": 1, "nav_menu": {}, "number_sections": false, "sideBar": false, "skip_h1_title": false, "title_cell": "Table of Contents", "title_sidebar": "Contents", "toc_cell": false, "toc_position": {}, "toc_section_display": false, "toc_window_display": true } }, "nbformat": 4, "nbformat_minor": 2 }