7842 lines
2.1 MiB
7842 lines
2.1 MiB
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {
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"editable": true,
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"slideshow": {
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"slide_type": ""
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},
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"tags": []
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},
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"source": [
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"# Coursework\n",
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"# SPCE0038: Machine Learning with Big-Data"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"---"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Overview\n",
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"\n",
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"This coursework is provided as a Jupyter notebook, which you will need to complete. \n",
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"\n",
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"Throughout the notebook you will need to complete code, analytic exercises (if equations are required please typeset your solutions using latex in the markdown cell provided) and descriptive answers. Much of the grading of the coursework will be performed automatically, so it is critical you name your variables as requested."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Before you turn this coursework in, make sure everything runs as expected. First, **restart the kernel** (in the menubar, select Kernel$\\rightarrow$Restart) and then **run all cells** (in the menubar, select Cell$\\rightarrow$Run All).\n",
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"\n",
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"Make sure you fill in any place that says \"YOUR ANSWER HERE\" or `YOUR CODE HERE` and remove remove the `raise NotImplementedError()` exceptions that are thrown before you have added your answers."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Please also:\n",
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"- Make sure you use a python environment using the `requirements.txt` files provided by the course.\n",
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"- Make sure your notebook executes without errors.\n",
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"- Do not add and remove cells but only provide your answers in the spaces given.\n",
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"- Do not add or change code in the cells other than the ones marked with `# YOUR CODE HERE`.\n",
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"- Do not overwrite or rename any existing variables.\n",
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"- Do not install code or packages in the notebooks.\n",
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"- Do not import any libraries other than modules from `sklearn`.\n",
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"- Always label your plots.\n",
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"- Answer the questions concisely and show your work/derivations/reasoning."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"**Please rename the notebook filename to include your candidate number in the filename. And please also add your candidate number below:**"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"CANDIDATE_NUMBER = \"MCMQ7\""
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"You will be able to run some basic tests in the notebook to check the basic operation of your code is as expected. Although do not assume your responses are complete or fully correct just because the basic tests pass."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Once you have renamed the notebook file and completed the exercises, please upload the notebook to Moodle.\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"---"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## AstroML\n",
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"\n",
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"The data used is this coursework is obtained using [AstroML](http://www.astroml.org), a python package for machine learning for astronomy. Although we take data from AstroML, this coursework is not based on standard AstroML examples. So you will *not* find the solutions in AstroML examples!"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## SDSS\n",
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"\n",
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"The data obtained through AstroML was observed by the [Sloan Digital Sky Survey](https://www.sdss.org/) (SDSS), which began observations in 2000. SDSS data have lead to many scientific advances and the experiment is widely seen as one of the most successful surveys in the history of astronomy."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"---"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Dependencies\n",
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"\n",
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"- Standard course dependencies (e.g. numpy, scikit-learn, etc.)\n",
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"- [AstoML](http://www.astroml.org)\n",
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"- [AstroPy](http://www.astropy.org/)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"---"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {
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"deletable": false,
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"editable": false,
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"nbgrader": {
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"cell_type": "code",
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"checksum": "ebf563e5f38beef45736bc1921c6c8ca",
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"grade": false,
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"grade_id": "cell-60b5947d6f57e1e5",
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"locked": true,
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"schema_version": 3,
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"solution": false
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}
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},
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"outputs": [],
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"source": [
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"import numpy as np\n",
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"from matplotlib import pyplot as plt"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {
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"deletable": false,
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"editable": false,
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"nbgrader": {
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"cell_type": "code",
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"checksum": "62f0bf3c5af939aa8d31f358766e54f1",
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"grade": false,
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"grade_id": "cell-ea880cd0d16868fc",
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"locked": true,
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"schema_version": 3,
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"solution": false
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}
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},
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"outputs": [],
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"source": [
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"def check_var_defined(var):\n",
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" try:\n",
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" exec(var)\n",
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" except NameError:\n",
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" raise NameError(var + \" not defined.\")\n",
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" else:\n",
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" print(var + \" defined.\")"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"deletable": false,
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"editable": false,
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"nbgrader": {
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"cell_type": "markdown",
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"checksum": "15eddda2a8295d028fd507afa72dce3b",
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"grade": false,
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"grade_id": "cell-b2775724006d2978",
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"locked": true,
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"schema_version": 3,
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"solution": false
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}
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},
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"source": [
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"## Part 1: Regression"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"deletable": false,
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"editable": false,
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"nbgrader": {
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"cell_type": "markdown",
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"checksum": "a9cff16a3014318dbe8e070dc4dac087",
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"grade": false,
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"grade_id": "cell-b3bc03ae580e8edb",
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"locked": true,
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"schema_version": 3,
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"solution": false
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}
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},
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"source": [
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"In these exercises we will consider the regression problem of the astonomical distance modulus vs redshift relationship.\n",
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"\n",
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"In astronomy, the [distance modulus](https://en.wikipedia.org/wiki/Distance_modulus) specifies the difference between the apparent and absolute magnitudes of an astronomnical object. It provides a way of expressing astrophysical distances. \n",
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"\n",
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"Astronomical [redshift](https://en.wikipedia.org/wiki/Redshift) specifies the shift in wavelength that astronomical objects undergo due to the expansion of the Universe. Due to Hubble's Law, more distance objects experience a greater redshift.\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {
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"deletable": false,
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"editable": false,
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"nbgrader": {
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"cell_type": "code",
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"checksum": "a6a25d04743d3fe93a33d1b4411a8516",
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"grade": false,
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"grade_id": "cell-72d05aca43e8358d",
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"locked": true,
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"schema_version": 3,
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"solution": false
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}
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},
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"outputs": [],
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"source": [
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"from astroML.datasets import generate_mu_z"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {
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"deletable": false,
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"editable": false,
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"nbgrader": {
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"cell_type": "code",
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"checksum": "169eb83a4ad31a60a51d6de794445254",
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"grade": false,
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"grade_id": "cell-b5b33781a14baffd",
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"locked": true,
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"schema_version": 3,
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"solution": false
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}
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},
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"outputs": [],
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"source": [
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"# Load data\n",
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"m = 150\n",
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"z_sample, mu_sample, dmu = generate_mu_z(m, random_state=3)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"deletable": false,
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"editable": false,
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"nbgrader": {
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"cell_type": "markdown",
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"checksum": "208758e42789bf2d1470c30a5fb356e0",
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"grade": false,
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"grade_id": "cell-acd86dc17cc2dd53",
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"locked": true,
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"schema_version": 3,
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"solution": false
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}
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},
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"source": [
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"*Plot the distance modulus ($\\mu$) vs redhift ($z$), including error bars.*"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"metadata": {
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"deletable": false,
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"nbgrader": {
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"cell_type": "code",
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"checksum": "a6759ec46b4d7447c6b0873e63a52ec2",
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"grade": true,
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"grade_id": "cell-ae7f16835ab51af3",
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"locked": false,
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"points": 1,
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"schema_version": 3,
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"solution": true
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}
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},
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"outputs": [
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{
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"data": {
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"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"# Plot data\n",
|
|
"def plot_dist_mod():\n",
|
|
" # YOUR CODE HERE\n",
|
|
" plt.scatter(z_sample, mu_sample)\n",
|
|
" plt.errorbar(z_sample, mu_sample, yerr=dmu, fmt=\"o\")\n",
|
|
" #raise NotImplementedError()\n",
|
|
" plt.xlabel('$z$')\n",
|
|
" plt.ylabel('$\\mu$')\n",
|
|
" plt.title('Distance modulus vs redshift')\n",
|
|
" plt.ylim(36, 50)\n",
|
|
" plt.xlim(0, 1.5)\n",
|
|
"plot_dist_mod()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "596c8005f2265096bb8d4dcfb6756856",
|
|
"grade": false,
|
|
"grade_id": "cell-cdbb1766c5be9049",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"Recall the normal equations for linear regression follow by analytically minimising the cost function: \n",
|
|
"\n",
|
|
"$$\\min_\\theta\\ C(\\theta) = \\min_\\theta \\ (X \\theta - y)^{\\rm T}(X \\theta - y).$$\n",
|
|
"\n",
|
|
"Show analytically that the solution is given by \n",
|
|
"\n",
|
|
"$$ \\hat{\\theta} = \\left( X^{\\rm T} X \\right)^{-1} X^{\\rm T} y. $$"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "c509e0ca35e2e737d727917ad9699ad8",
|
|
"grade": false,
|
|
"grade_id": "cell-3b18a50412c27c56",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"[Matrix calculus identities](https://en.wikipedia.org/wiki/Matrix_calculus) may be useful (note that we use the denominator layout convention)."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "3a99014a4147c496f8f9de0535f06e6a",
|
|
"grade": false,
|
|
"grade_id": "cell-4701b02e60d7683c",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"*Expand the cost function and drop terms that do not depend on $\\theta$ (use latex mathematics expressions):*"
|
|
]
|
|
},
|
|
{
|
|
"attachments": {},
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "b97fe78f2b4bc7502cb9ebdfe1d17874",
|
|
"grade": true,
|
|
"grade_id": "cell-a114fd93ba74dac5",
|
|
"locked": false,
|
|
"points": 3,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"source": [
|
|
"Initial cost function:\n",
|
|
"\n",
|
|
"$$C(\\theta)=(X\\theta-y)^T(X\\theta-y)$$\n",
|
|
"\n",
|
|
"Using the identity\n",
|
|
"\n",
|
|
"$$(A+B)^T = A^T+B^T,$$\n",
|
|
"\n",
|
|
"We perform a quadratic expansion:\n",
|
|
"\n",
|
|
"$$C(\\theta)=(X\\theta)^T(X\\theta)-(X\\theta)^Ty-y^T(X\\theta)+y^Ty.$$\n",
|
|
"\n",
|
|
"We use the identity\n",
|
|
"\n",
|
|
"$$a^Tb=b^Ta$$\n",
|
|
"\n",
|
|
"to combine the intermediate terms:\n",
|
|
"\n",
|
|
"$$C(\\theta)=(X\\theta)^T(X\\theta)-2(X\\theta)^Ty + y^Ty.$$"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "2e5cd989e6893a3cefd6a3020e615c8d",
|
|
"grade": false,
|
|
"grade_id": "cell-9a33de31635ab257",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"*Calculate the derivative, set it to zero, and solve for $\\theta$ (use latex mathematics expressions):*"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "72da939ee35de54049492e263cc444f8",
|
|
"grade": true,
|
|
"grade_id": "cell-0f0b521f765f4826",
|
|
"locked": false,
|
|
"points": 3,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"source": [
|
|
"The first term of $C(\\theta)$ can be rewritten as\n",
|
|
"$$(X\\theta)^T(X\\theta)=X^T\\theta^TX\\theta.$$\n",
|
|
"Since $X^TX$ is symmetric we can apply the formula\n",
|
|
"$$\\frac{\\partial}{\\partial\\theta}(\\theta^TA\\theta)=2A\\theta$$\n",
|
|
"where $A=X^TX$ to find the derivative of the first term:\n",
|
|
"$$\\frac{\\partial}{\\partial\\theta}(X^T\\theta^TX\\theta)=2X^TX\\theta$$\n",
|
|
"The second term is linear in $\\theta$ so can be differentiated normally.\n",
|
|
"$$\\frac{\\partial}{\\partial\\theta}(-2(X\\theta)^Ty) = -2X^Ty$$\n",
|
|
"Combining the individual terms for a complete derivative of $C(\\theta)$:\n",
|
|
"$$\\nabla_{\\theta}C(\\theta)=2X^TX\\theta-2X^Ty+0$$\n",
|
|
"Set the derivative to zero\n",
|
|
"$$0=2X^TX\\theta-2X^Ty$$\n",
|
|
"$$X^Ty=X^TX\\theta$$\n",
|
|
"$$\\theta=(X^TX)^{-1}X^Ty$$\n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "37c7febbf20f95d2bd6ef750ed2d11f3",
|
|
"grade": false,
|
|
"grade_id": "cell-dd5113a0fc89a960",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"*Solve for $\\theta$ by numerically implementing the analytic solution given above.*"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 7,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "0993e1f7ab7124438012231f05c51e9a",
|
|
"grade": false,
|
|
"grade_id": "cell-d71c2644693323b2",
|
|
"locked": false,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"def compute_theta_lin_reg(X, y):\n",
|
|
" # YOUR CODE HERE\n",
|
|
" # X needs to be a 2D array where each row is a sample\n",
|
|
" X = X.reshape((-1, 1))\n",
|
|
" # Add a column of ones for the bias term\n",
|
|
" X = np.c_[np.ones((X.shape[0], 1)), X]\n",
|
|
" theta = np.linalg.inv(X.T @ X) @ X.T @ y\n",
|
|
" #raise NotImplementedError()\n",
|
|
" return theta"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 8,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "ce1006c8dcbd4682472e45a7a6e54960",
|
|
"grade": true,
|
|
"grade_id": "cell-f024710582a10726",
|
|
"locked": true,
|
|
"points": 1,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"Linear regression parameters recovered analytically: intercept=39.5505, slope=4.9538\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"assert compute_theta_lin_reg(z_sample, mu_sample).shape == (2,)\n",
|
|
"theta = compute_theta_lin_reg(z_sample, mu_sample)\n",
|
|
"(theta_c, theta_m) = theta\n",
|
|
"print(\"Linear regression parameters recovered analytically: intercept={0:.4f}, slope={1:.4f}\".format(theta_c, theta_m))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 9,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "0276019b59b620bff4ba748f13afb83e",
|
|
"grade": true,
|
|
"grade_id": "cell-52c5a2bcccb2010d",
|
|
"locked": true,
|
|
"points": 1,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"theta_c defined.\n",
|
|
"theta_m defined.\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"check_var_defined('theta_c')\n",
|
|
"check_var_defined('theta_m')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "96ed9fc16f94ad4965a2b03c463b7cd7",
|
|
"grade": false,
|
|
"grade_id": "cell-883f0e6586934a9f",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"*Write a method to make a prediction for a given redshift.*"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 10,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "475f9a392bb5bb1dee3671f1e4e4c5cf",
|
|
"grade": false,
|
|
"grade_id": "cell-f5341cc7da485877",
|
|
"locked": false,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"def predict_lin_reg(theta, x):\n",
|
|
" # YOUR CODE HERE\n",
|
|
" (c, m) = theta\n",
|
|
" y = m*x + c\n",
|
|
" #raise NotImplementedError()\n",
|
|
" return y"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "3cfc6f1f228d2759b5869de17f4c5754",
|
|
"grade": false,
|
|
"grade_id": "cell-c71c338c46a8bb93",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"*Predict the distance modulus for a range of redshift values between 0.01 and 1.5 and plot the predicted curve overlayed on data (make a new plot; do not revise the plot above). Call the variable used to store the predictions for your polynomial model `mu_pred_lin`.*"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 11,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "cd987dfd33566ad55e8f9bfe8f8997aa",
|
|
"grade": false,
|
|
"grade_id": "cell-fc6aa680d6528ab1",
|
|
"locked": false,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"<matplotlib.legend.Legend at 0x783476165590>"
|
|
]
|
|
},
|
|
"execution_count": 11,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"z = np.linspace(0.01, 1.5, 1000)\n",
|
|
"plot_dist_mod()\n",
|
|
"# YOUR CODE HERE\n",
|
|
"mu_pred_lin = np.array([predict_lin_reg(theta, x) for x in z])\n",
|
|
"plt.plot(z, mu_pred_lin, label=\"mu_pred_lin\")\n",
|
|
"plt.legend()\n",
|
|
"#raise NotImplementedError()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 12,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "08cf8664e67c3940e4b3acc27b0d325e",
|
|
"grade": true,
|
|
"grade_id": "cell-f8e904006f960080",
|
|
"locked": true,
|
|
"points": 2,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"mu_pred_lin defined.\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"check_var_defined('mu_pred_lin')\n",
|
|
"assert mu_pred_lin.shape == (len(z),), \"Make sure the shape of your predictions is correct\""
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "78269320b540a1d943b94e85f8887bdf",
|
|
"grade": false,
|
|
"grade_id": "cell-c55d51874c74517a",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"*Solve for the parameters $\\theta$ using Scikit-Learn.*"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 13,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "dcb822e86c7cfb2cc413af696ebf6b12",
|
|
"grade": false,
|
|
"grade_id": "cell-21b18d58a127b96c",
|
|
"locked": false,
|
|
"schema_version": 3,
|
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"solution": true
|
|
}
|
|
},
|
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"outputs": [
|
|
{
|
|
"data": {
|
|
"text/html": [
|
|
"<style>#sk-container-id-1 {\n",
|
|
" /* Definition of color scheme common for light and dark mode */\n",
|
|
" --sklearn-color-text: #000;\n",
|
|
" --sklearn-color-text-muted: #666;\n",
|
|
" --sklearn-color-line: gray;\n",
|
|
" /* Definition of color scheme for unfitted estimators */\n",
|
|
" --sklearn-color-unfitted-level-0: #fff5e6;\n",
|
|
" --sklearn-color-unfitted-level-1: #f6e4d2;\n",
|
|
" --sklearn-color-unfitted-level-2: #ffe0b3;\n",
|
|
" --sklearn-color-unfitted-level-3: chocolate;\n",
|
|
" /* Definition of color scheme for fitted estimators */\n",
|
|
" --sklearn-color-fitted-level-0: #f0f8ff;\n",
|
|
" --sklearn-color-fitted-level-1: #d4ebff;\n",
|
|
" --sklearn-color-fitted-level-2: #b3dbfd;\n",
|
|
" --sklearn-color-fitted-level-3: cornflowerblue;\n",
|
|
"\n",
|
|
" /* Specific color for light theme */\n",
|
|
" --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
|
|
" --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
|
|
" --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
|
|
" --sklearn-color-icon: #696969;\n",
|
|
"\n",
|
|
" @media (prefers-color-scheme: dark) {\n",
|
|
" /* Redefinition of color scheme for dark theme */\n",
|
|
" --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
|
|
" --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
|
|
" --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
|
|
" --sklearn-color-icon: #878787;\n",
|
|
" }\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 pre {\n",
|
|
" padding: 0;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 input.sk-hidden--visually {\n",
|
|
" border: 0;\n",
|
|
" clip: rect(1px 1px 1px 1px);\n",
|
|
" clip: rect(1px, 1px, 1px, 1px);\n",
|
|
" height: 1px;\n",
|
|
" margin: -1px;\n",
|
|
" overflow: hidden;\n",
|
|
" padding: 0;\n",
|
|
" position: absolute;\n",
|
|
" width: 1px;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-dashed-wrapped {\n",
|
|
" border: 1px dashed var(--sklearn-color-line);\n",
|
|
" margin: 0 0.4em 0.5em 0.4em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" padding-bottom: 0.4em;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-container {\n",
|
|
" /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
|
|
" but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
|
|
" so we also need the `!important` here to be able to override the\n",
|
|
" default hidden behavior on the sphinx rendered scikit-learn.org.\n",
|
|
" See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
|
|
" display: inline-block !important;\n",
|
|
" position: relative;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-text-repr-fallback {\n",
|
|
" display: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"div.sk-parallel-item,\n",
|
|
"div.sk-serial,\n",
|
|
"div.sk-item {\n",
|
|
" /* draw centered vertical line to link estimators */\n",
|
|
" background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
|
|
" background-size: 2px 100%;\n",
|
|
" background-repeat: no-repeat;\n",
|
|
" background-position: center center;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Parallel-specific style estimator block */\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-parallel-item::after {\n",
|
|
" content: \"\";\n",
|
|
" width: 100%;\n",
|
|
" border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
|
|
" flex-grow: 1;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-parallel {\n",
|
|
" display: flex;\n",
|
|
" align-items: stretch;\n",
|
|
" justify-content: center;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" position: relative;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-parallel-item {\n",
|
|
" display: flex;\n",
|
|
" flex-direction: column;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-parallel-item:first-child::after {\n",
|
|
" align-self: flex-end;\n",
|
|
" width: 50%;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-parallel-item:last-child::after {\n",
|
|
" align-self: flex-start;\n",
|
|
" width: 50%;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-parallel-item:only-child::after {\n",
|
|
" width: 0;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Serial-specific style estimator block */\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-serial {\n",
|
|
" display: flex;\n",
|
|
" flex-direction: column;\n",
|
|
" align-items: center;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" padding-right: 1em;\n",
|
|
" padding-left: 1em;\n",
|
|
"}\n",
|
|
"\n",
|
|
"\n",
|
|
"/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
|
|
"clickable and can be expanded/collapsed.\n",
|
|
"- Pipeline and ColumnTransformer use this feature and define the default style\n",
|
|
"- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
|
|
"*/\n",
|
|
"\n",
|
|
"/* Pipeline and ColumnTransformer style (default) */\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-toggleable {\n",
|
|
" /* Default theme specific background. It is overwritten whether we have a\n",
|
|
" specific estimator or a Pipeline/ColumnTransformer */\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Toggleable label */\n",
|
|
"#sk-container-id-1 label.sk-toggleable__label {\n",
|
|
" cursor: pointer;\n",
|
|
" display: flex;\n",
|
|
" width: 100%;\n",
|
|
" margin-bottom: 0;\n",
|
|
" padding: 0.5em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" text-align: center;\n",
|
|
" align-items: start;\n",
|
|
" justify-content: space-between;\n",
|
|
" gap: 0.5em;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 label.sk-toggleable__label .caption {\n",
|
|
" font-size: 0.6rem;\n",
|
|
" font-weight: lighter;\n",
|
|
" color: var(--sklearn-color-text-muted);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 label.sk-toggleable__label-arrow:before {\n",
|
|
" /* Arrow on the left of the label */\n",
|
|
" content: \"▸\";\n",
|
|
" float: left;\n",
|
|
" margin-right: 0.25em;\n",
|
|
" color: var(--sklearn-color-icon);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Toggleable content - dropdown */\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-toggleable__content {\n",
|
|
" max-height: 0;\n",
|
|
" max-width: 0;\n",
|
|
" overflow: hidden;\n",
|
|
" text-align: left;\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-toggleable__content.fitted {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-toggleable__content pre {\n",
|
|
" margin: 0.2em;\n",
|
|
" border-radius: 0.25em;\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-toggleable__content.fitted pre {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
|
|
" /* Expand drop-down */\n",
|
|
" max-height: 200px;\n",
|
|
" max-width: 100%;\n",
|
|
" overflow: auto;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
|
|
" content: \"▾\";\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Pipeline/ColumnTransformer-specific style */\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator-specific style */\n",
|
|
"\n",
|
|
"/* Colorize estimator box */\n",
|
|
"#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-label label.sk-toggleable__label,\n",
|
|
"#sk-container-id-1 div.sk-label label {\n",
|
|
" /* The background is the default theme color */\n",
|
|
" color: var(--sklearn-color-text-on-default-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover, darken the color of the background */\n",
|
|
"#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Label box, darken color on hover, fitted */\n",
|
|
"#sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator label */\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-label label {\n",
|
|
" font-family: monospace;\n",
|
|
" font-weight: bold;\n",
|
|
" display: inline-block;\n",
|
|
" line-height: 1.2em;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-label-container {\n",
|
|
" text-align: center;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator-specific */\n",
|
|
"#sk-container-id-1 div.sk-estimator {\n",
|
|
" font-family: monospace;\n",
|
|
" border: 1px dotted var(--sklearn-color-border-box);\n",
|
|
" border-radius: 0.25em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" margin-bottom: 0.5em;\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-estimator.fitted {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* on hover */\n",
|
|
"#sk-container-id-1 div.sk-estimator:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 div.sk-estimator.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
|
|
"\n",
|
|
"/* Common style for \"i\" and \"?\" */\n",
|
|
"\n",
|
|
".sk-estimator-doc-link,\n",
|
|
"a:link.sk-estimator-doc-link,\n",
|
|
"a:visited.sk-estimator-doc-link {\n",
|
|
" float: right;\n",
|
|
" font-size: smaller;\n",
|
|
" line-height: 1em;\n",
|
|
" font-family: monospace;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" border-radius: 1em;\n",
|
|
" height: 1em;\n",
|
|
" width: 1em;\n",
|
|
" text-decoration: none !important;\n",
|
|
" margin-left: 0.5em;\n",
|
|
" text-align: center;\n",
|
|
" /* unfitted */\n",
|
|
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-unfitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link.fitted,\n",
|
|
"a:link.sk-estimator-doc-link.fitted,\n",
|
|
"a:visited.sk-estimator-doc-link.fitted {\n",
|
|
" /* fitted */\n",
|
|
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-fitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover */\n",
|
|
"div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
|
|
".sk-estimator-doc-link:hover,\n",
|
|
"div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
|
|
".sk-estimator-doc-link:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
|
|
".sk-estimator-doc-link.fitted:hover,\n",
|
|
"div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
|
|
".sk-estimator-doc-link.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Span, style for the box shown on hovering the info icon */\n",
|
|
".sk-estimator-doc-link span {\n",
|
|
" display: none;\n",
|
|
" z-index: 9999;\n",
|
|
" position: relative;\n",
|
|
" font-weight: normal;\n",
|
|
" right: .2ex;\n",
|
|
" padding: .5ex;\n",
|
|
" margin: .5ex;\n",
|
|
" width: min-content;\n",
|
|
" min-width: 20ex;\n",
|
|
" max-width: 50ex;\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" box-shadow: 2pt 2pt 4pt #999;\n",
|
|
" /* unfitted */\n",
|
|
" background: var(--sklearn-color-unfitted-level-0);\n",
|
|
" border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link.fitted span {\n",
|
|
" /* fitted */\n",
|
|
" background: var(--sklearn-color-fitted-level-0);\n",
|
|
" border: var(--sklearn-color-fitted-level-3);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link:hover span {\n",
|
|
" display: block;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* \"?\"-specific style due to the `<a>` HTML tag */\n",
|
|
"\n",
|
|
"#sk-container-id-1 a.estimator_doc_link {\n",
|
|
" float: right;\n",
|
|
" font-size: 1rem;\n",
|
|
" line-height: 1em;\n",
|
|
" font-family: monospace;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" border-radius: 1rem;\n",
|
|
" height: 1rem;\n",
|
|
" width: 1rem;\n",
|
|
" text-decoration: none;\n",
|
|
" /* unfitted */\n",
|
|
" color: var(--sklearn-color-unfitted-level-1);\n",
|
|
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 a.estimator_doc_link.fitted {\n",
|
|
" /* fitted */\n",
|
|
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-fitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover */\n",
|
|
"#sk-container-id-1 a.estimator_doc_link:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-1 a.estimator_doc_link.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-3);\n",
|
|
"}\n",
|
|
"</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LinearRegression()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>LinearRegression</div></div><div><a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.6/modules/generated/sklearn.linear_model.LinearRegression.html\">?<span>Documentation for LinearRegression</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></div></label><div class=\"sk-toggleable__content fitted\"><pre>LinearRegression()</pre></div> </div></div></div></div>"
|
|
],
|
|
"text/plain": [
|
|
"LinearRegression()"
|
|
]
|
|
},
|
|
"execution_count": 13,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"from sklearn.linear_model import LinearRegression\n",
|
|
"lin_reg = LinearRegression()\n",
|
|
"# YOUR CODE HERE\n",
|
|
"lin_reg.fit(z_sample.reshape(-1, 1), mu_sample)\n",
|
|
"#raise NotImplementedError()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 14,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "2dc255e53a5d0c973dfca577078d77c7",
|
|
"grade": true,
|
|
"grade_id": "cell-7ac2cec6a7505062",
|
|
"locked": true,
|
|
"points": 2,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"Linear regression parameters recovered by scikit-learn: intercept=39.5505, slope=4.9538\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"assert lin_reg.coef_.shape == (1,), \"Make sure your features have the right shape, such that we have 1 fitted coefficient\"\n",
|
|
"print(\"Linear regression parameters recovered by scikit-learn: intercept={0:.4f}, slope={1:.4f}\"\n",
|
|
" .format(lin_reg.intercept_, lin_reg.coef_[0]))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "7e98e11722002c12cbf55f1e5039e6dd",
|
|
"grade": false,
|
|
"grade_id": "cell-59443e08cb021f49",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"*Extend your model to include polynomial features up to degree 15 (using Scikit-Learn). Use variable `lin_reg_poly` for your revised model.*"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 15,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "c48074367c1bb4a2704f931153372c1b",
|
|
"grade": false,
|
|
"grade_id": "cell-8ea9ea3be9d57ce5",
|
|
"locked": false,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/html": [
|
|
"<style>#sk-container-id-2 {\n",
|
|
" /* Definition of color scheme common for light and dark mode */\n",
|
|
" --sklearn-color-text: #000;\n",
|
|
" --sklearn-color-text-muted: #666;\n",
|
|
" --sklearn-color-line: gray;\n",
|
|
" /* Definition of color scheme for unfitted estimators */\n",
|
|
" --sklearn-color-unfitted-level-0: #fff5e6;\n",
|
|
" --sklearn-color-unfitted-level-1: #f6e4d2;\n",
|
|
" --sklearn-color-unfitted-level-2: #ffe0b3;\n",
|
|
" --sklearn-color-unfitted-level-3: chocolate;\n",
|
|
" /* Definition of color scheme for fitted estimators */\n",
|
|
" --sklearn-color-fitted-level-0: #f0f8ff;\n",
|
|
" --sklearn-color-fitted-level-1: #d4ebff;\n",
|
|
" --sklearn-color-fitted-level-2: #b3dbfd;\n",
|
|
" --sklearn-color-fitted-level-3: cornflowerblue;\n",
|
|
"\n",
|
|
" /* Specific color for light theme */\n",
|
|
" --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
|
|
" --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
|
|
" --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
|
|
" --sklearn-color-icon: #696969;\n",
|
|
"\n",
|
|
" @media (prefers-color-scheme: dark) {\n",
|
|
" /* Redefinition of color scheme for dark theme */\n",
|
|
" --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
|
|
" --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
|
|
" --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
|
|
" --sklearn-color-icon: #878787;\n",
|
|
" }\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 pre {\n",
|
|
" padding: 0;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 input.sk-hidden--visually {\n",
|
|
" border: 0;\n",
|
|
" clip: rect(1px 1px 1px 1px);\n",
|
|
" clip: rect(1px, 1px, 1px, 1px);\n",
|
|
" height: 1px;\n",
|
|
" margin: -1px;\n",
|
|
" overflow: hidden;\n",
|
|
" padding: 0;\n",
|
|
" position: absolute;\n",
|
|
" width: 1px;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-dashed-wrapped {\n",
|
|
" border: 1px dashed var(--sklearn-color-line);\n",
|
|
" margin: 0 0.4em 0.5em 0.4em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" padding-bottom: 0.4em;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-container {\n",
|
|
" /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
|
|
" but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
|
|
" so we also need the `!important` here to be able to override the\n",
|
|
" default hidden behavior on the sphinx rendered scikit-learn.org.\n",
|
|
" See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
|
|
" display: inline-block !important;\n",
|
|
" position: relative;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-text-repr-fallback {\n",
|
|
" display: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"div.sk-parallel-item,\n",
|
|
"div.sk-serial,\n",
|
|
"div.sk-item {\n",
|
|
" /* draw centered vertical line to link estimators */\n",
|
|
" background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
|
|
" background-size: 2px 100%;\n",
|
|
" background-repeat: no-repeat;\n",
|
|
" background-position: center center;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Parallel-specific style estimator block */\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-parallel-item::after {\n",
|
|
" content: \"\";\n",
|
|
" width: 100%;\n",
|
|
" border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
|
|
" flex-grow: 1;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-parallel {\n",
|
|
" display: flex;\n",
|
|
" align-items: stretch;\n",
|
|
" justify-content: center;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" position: relative;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-parallel-item {\n",
|
|
" display: flex;\n",
|
|
" flex-direction: column;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-parallel-item:first-child::after {\n",
|
|
" align-self: flex-end;\n",
|
|
" width: 50%;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-parallel-item:last-child::after {\n",
|
|
" align-self: flex-start;\n",
|
|
" width: 50%;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-parallel-item:only-child::after {\n",
|
|
" width: 0;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Serial-specific style estimator block */\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-serial {\n",
|
|
" display: flex;\n",
|
|
" flex-direction: column;\n",
|
|
" align-items: center;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" padding-right: 1em;\n",
|
|
" padding-left: 1em;\n",
|
|
"}\n",
|
|
"\n",
|
|
"\n",
|
|
"/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
|
|
"clickable and can be expanded/collapsed.\n",
|
|
"- Pipeline and ColumnTransformer use this feature and define the default style\n",
|
|
"- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
|
|
"*/\n",
|
|
"\n",
|
|
"/* Pipeline and ColumnTransformer style (default) */\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-toggleable {\n",
|
|
" /* Default theme specific background. It is overwritten whether we have a\n",
|
|
" specific estimator or a Pipeline/ColumnTransformer */\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Toggleable label */\n",
|
|
"#sk-container-id-2 label.sk-toggleable__label {\n",
|
|
" cursor: pointer;\n",
|
|
" display: flex;\n",
|
|
" width: 100%;\n",
|
|
" margin-bottom: 0;\n",
|
|
" padding: 0.5em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" text-align: center;\n",
|
|
" align-items: start;\n",
|
|
" justify-content: space-between;\n",
|
|
" gap: 0.5em;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 label.sk-toggleable__label .caption {\n",
|
|
" font-size: 0.6rem;\n",
|
|
" font-weight: lighter;\n",
|
|
" color: var(--sklearn-color-text-muted);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 label.sk-toggleable__label-arrow:before {\n",
|
|
" /* Arrow on the left of the label */\n",
|
|
" content: \"▸\";\n",
|
|
" float: left;\n",
|
|
" margin-right: 0.25em;\n",
|
|
" color: var(--sklearn-color-icon);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Toggleable content - dropdown */\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-toggleable__content {\n",
|
|
" max-height: 0;\n",
|
|
" max-width: 0;\n",
|
|
" overflow: hidden;\n",
|
|
" text-align: left;\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-toggleable__content.fitted {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-toggleable__content pre {\n",
|
|
" margin: 0.2em;\n",
|
|
" border-radius: 0.25em;\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-toggleable__content.fitted pre {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
|
|
" /* Expand drop-down */\n",
|
|
" max-height: 200px;\n",
|
|
" max-width: 100%;\n",
|
|
" overflow: auto;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
|
|
" content: \"▾\";\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Pipeline/ColumnTransformer-specific style */\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator-specific style */\n",
|
|
"\n",
|
|
"/* Colorize estimator box */\n",
|
|
"#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-label label.sk-toggleable__label,\n",
|
|
"#sk-container-id-2 div.sk-label label {\n",
|
|
" /* The background is the default theme color */\n",
|
|
" color: var(--sklearn-color-text-on-default-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover, darken the color of the background */\n",
|
|
"#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Label box, darken color on hover, fitted */\n",
|
|
"#sk-container-id-2 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator label */\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-label label {\n",
|
|
" font-family: monospace;\n",
|
|
" font-weight: bold;\n",
|
|
" display: inline-block;\n",
|
|
" line-height: 1.2em;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-label-container {\n",
|
|
" text-align: center;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator-specific */\n",
|
|
"#sk-container-id-2 div.sk-estimator {\n",
|
|
" font-family: monospace;\n",
|
|
" border: 1px dotted var(--sklearn-color-border-box);\n",
|
|
" border-radius: 0.25em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" margin-bottom: 0.5em;\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-estimator.fitted {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* on hover */\n",
|
|
"#sk-container-id-2 div.sk-estimator:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 div.sk-estimator.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
|
|
"\n",
|
|
"/* Common style for \"i\" and \"?\" */\n",
|
|
"\n",
|
|
".sk-estimator-doc-link,\n",
|
|
"a:link.sk-estimator-doc-link,\n",
|
|
"a:visited.sk-estimator-doc-link {\n",
|
|
" float: right;\n",
|
|
" font-size: smaller;\n",
|
|
" line-height: 1em;\n",
|
|
" font-family: monospace;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" border-radius: 1em;\n",
|
|
" height: 1em;\n",
|
|
" width: 1em;\n",
|
|
" text-decoration: none !important;\n",
|
|
" margin-left: 0.5em;\n",
|
|
" text-align: center;\n",
|
|
" /* unfitted */\n",
|
|
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-unfitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link.fitted,\n",
|
|
"a:link.sk-estimator-doc-link.fitted,\n",
|
|
"a:visited.sk-estimator-doc-link.fitted {\n",
|
|
" /* fitted */\n",
|
|
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-fitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover */\n",
|
|
"div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
|
|
".sk-estimator-doc-link:hover,\n",
|
|
"div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
|
|
".sk-estimator-doc-link:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
|
|
".sk-estimator-doc-link.fitted:hover,\n",
|
|
"div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
|
|
".sk-estimator-doc-link.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Span, style for the box shown on hovering the info icon */\n",
|
|
".sk-estimator-doc-link span {\n",
|
|
" display: none;\n",
|
|
" z-index: 9999;\n",
|
|
" position: relative;\n",
|
|
" font-weight: normal;\n",
|
|
" right: .2ex;\n",
|
|
" padding: .5ex;\n",
|
|
" margin: .5ex;\n",
|
|
" width: min-content;\n",
|
|
" min-width: 20ex;\n",
|
|
" max-width: 50ex;\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" box-shadow: 2pt 2pt 4pt #999;\n",
|
|
" /* unfitted */\n",
|
|
" background: var(--sklearn-color-unfitted-level-0);\n",
|
|
" border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link.fitted span {\n",
|
|
" /* fitted */\n",
|
|
" background: var(--sklearn-color-fitted-level-0);\n",
|
|
" border: var(--sklearn-color-fitted-level-3);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link:hover span {\n",
|
|
" display: block;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* \"?\"-specific style due to the `<a>` HTML tag */\n",
|
|
"\n",
|
|
"#sk-container-id-2 a.estimator_doc_link {\n",
|
|
" float: right;\n",
|
|
" font-size: 1rem;\n",
|
|
" line-height: 1em;\n",
|
|
" font-family: monospace;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" border-radius: 1rem;\n",
|
|
" height: 1rem;\n",
|
|
" width: 1rem;\n",
|
|
" text-decoration: none;\n",
|
|
" /* unfitted */\n",
|
|
" color: var(--sklearn-color-unfitted-level-1);\n",
|
|
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 a.estimator_doc_link.fitted {\n",
|
|
" /* fitted */\n",
|
|
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-fitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover */\n",
|
|
"#sk-container-id-2 a.estimator_doc_link:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-2 a.estimator_doc_link.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-3);\n",
|
|
"}\n",
|
|
"</style><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LinearRegression()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" checked><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>LinearRegression</div></div><div><a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.6/modules/generated/sklearn.linear_model.LinearRegression.html\">?<span>Documentation for LinearRegression</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></div></label><div class=\"sk-toggleable__content fitted\"><pre>LinearRegression()</pre></div> </div></div></div></div>"
|
|
],
|
|
"text/plain": [
|
|
"LinearRegression()"
|
|
]
|
|
},
|
|
"execution_count": 15,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"degree = 15\n",
|
|
"bias = False\n",
|
|
"from sklearn.preprocessing import PolynomialFeatures\n",
|
|
"def compute_poly_features(degree, bias):\n",
|
|
" # Return polynomial features of samples and class\n",
|
|
" # YOUR CODE HERE\n",
|
|
" poly_features = PolynomialFeatures(degree=degree, include_bias=bias)\n",
|
|
" z_sample_poly = poly_features.fit_transform(z_sample.reshape(-1, 1))\n",
|
|
" \n",
|
|
" #raise NotImplementedError()\n",
|
|
" return z_sample_poly, poly_features\n",
|
|
"z_sample_poly, poly_features = compute_poly_features(degree, bias)\n",
|
|
"# Train model\n",
|
|
"# YOUR CODE HERE\n",
|
|
"lin_reg_poly = LinearRegression()\n",
|
|
"lin_reg_poly.fit(z_sample_poly, mu_sample)\n",
|
|
"#raise NotImplementedError()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 16,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "01cfbed87f8a26ed0ec8be34e437801a",
|
|
"grade": true,
|
|
"grade_id": "cell-d46184658a6b600b",
|
|
"locked": true,
|
|
"points": 2,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"lin_reg_poly defined.\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"check_var_defined('lin_reg_poly')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "735fd8a02427e9a36d74685def71342c",
|
|
"grade": false,
|
|
"grade_id": "cell-5ccd955a752b81ea",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"*Plot the data and the predictions of your models considered so far (linear and polynomial regression). Call the variable used to store the predictions for your polynomial model `mu_pred_poly`.*"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 17,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "dd2a4e0385cd8ed4673e4aad5b632280",
|
|
"grade": false,
|
|
"grade_id": "cell-24f6bf2cfd9a7f71",
|
|
"locked": false,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"<matplotlib.legend.Legend at 0x783475e94750>"
|
|
]
|
|
},
|
|
"execution_count": 17,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"# YOUR CODE HERE\n",
|
|
"plot_dist_mod()\n",
|
|
"plt.plot(z, mu_pred_lin, label=\"mu_pred_lin\")\n",
|
|
"\n",
|
|
"mu_pred_poly = lin_reg_poly.predict(poly_features.transform(z.reshape(-1,1)))\n",
|
|
"plt.plot(z, mu_pred_poly, label=\"mu_pred_poly\")\n",
|
|
"plt.legend()\n",
|
|
"#raise NotImplementedError()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 18,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "11efe12f85bf5edc3719a470150c480e",
|
|
"grade": true,
|
|
"grade_id": "cell-55abac99185aa2df",
|
|
"locked": true,
|
|
"points": 2,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"mu_pred_poly defined.\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"check_var_defined('mu_pred_poly')\n",
|
|
"assert mu_pred_poly.shape == (len(z),)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "0dfd352eae6049c8302271e9173b5b86",
|
|
"grade": false,
|
|
"grade_id": "cell-dc45782c437fb3b3",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"*Comment on the accuracy of your models.*"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "7a9b6ddcab190716cd17c327abb8da2a",
|
|
"grade": true,
|
|
"grade_id": "cell-c37fd48a9be1bd84",
|
|
"locked": false,
|
|
"points": 2,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"source": [
|
|
"The basic linear regression seems to fit the data better than the polynomial model, which looks overfitted. A small number of data points at the extreme end of the x-axis have a significant impact on the shape of the curve, far more than most of the points which are clustered towards 0 on the x-axis."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "7b3d585af5547dd71593690acb89f54a",
|
|
"grade": false,
|
|
"grade_id": "cell-642b8f293c37d087",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"*Think about methods that could be used to improve the performance of your models. Improve your polynomial model and use the improved model to make predictions. Call the variable used to store the polynomial model `ridge_reg_poly`. Call the variable used to store the predictions for your polynomial model `mu_pred_poly_improved`.*"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 19,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "809a92a774fec689d2048a896f1f4357",
|
|
"grade": true,
|
|
"grade_id": "cell-249f8b263075ba25",
|
|
"locked": false,
|
|
"points": 3,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"# YOUR CODE HERE\n",
|
|
"from sklearn.pipeline import Pipeline\n",
|
|
"from sklearn.preprocessing import StandardScaler\n",
|
|
"from sklearn.linear_model import Ridge\n",
|
|
"\n",
|
|
"ridge_reg_poly = Pipeline((\n",
|
|
" (\"poly_features\", PolynomialFeatures(degree=30, include_bias=True)),\n",
|
|
" (\"std_scaler\", StandardScaler()),\n",
|
|
" (\"regul_reg\", Ridge(1e-20)),\n",
|
|
" #(\"lin_reg\", LinearRegression())\n",
|
|
"))\n",
|
|
"ridge_reg_poly.fit(z_sample.reshape(-1, 1), mu_sample)\n",
|
|
"mu_pred_poly_improved = ridge_reg_poly.predict(z.reshape(-1, 1))\n",
|
|
"\n",
|
|
"#raise NotImplementedError()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 20,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "23cbdcf0308d7d2f474ccecf681ddd73",
|
|
"grade": false,
|
|
"grade_id": "cell-5f2d7d6ea319189b",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"ridge_reg_poly defined.\n",
|
|
"mu_pred_poly_improved defined.\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"check_var_defined('ridge_reg_poly')\n",
|
|
"check_var_defined('mu_pred_poly_improved')\n",
|
|
"assert mu_pred_poly_improved.shape == (len(z),), \"Make sure the shape of your predictions is correct\""
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "8bb3a9403b75f4dc8b3a3e38664cd50a",
|
|
"grade": false,
|
|
"grade_id": "cell-d7ee6a9b415c62a9",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"*Plot the predictions made with new model and all previous models considered.*"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 21,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "c882d9ba097863626e9c85736d3dab30",
|
|
"grade": true,
|
|
"grade_id": "cell-14a8a955921c3d9c",
|
|
"locked": false,
|
|
"points": 1,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"<matplotlib.legend.Legend at 0x783473d66710>"
|
|
]
|
|
},
|
|
"execution_count": 21,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": 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dddfx8MMPc8UVV3DfffdRWFjI22+/TceOHVm/fr19nJZr7Ynx48czbdo0pk2bRuPGjauoJbfccgu5ubkMGzaMli1bsm/fPl5//XV69epV7TTkN998k/POO4/u3btz66230rZtW44dO8bKlSs5ePAgmzZtAuAf//gHc+fO5ZJLLmHq1Kn21GybimZjzpw5vPXWW1xxxRW0a9eO06dPM2vWLOLi4hg9enS11qiFXr16odfref7558nPzyc8PJxhw4bRpEmTgJ1TqAcEIYNKEGodW2q27cdoNKopKSnqRRddpL766qv2FGFHKqeS/vrrr+q4cePU5s2bq0ajUW3evLk6YcIEddeuXU7HffPNN2qXLl1Ug8HglFacmZmpjhgxQo2JiVGTkpLUW2+9Vd20aVOV1OPJkyer0dHRXtejqtb05RdeeEFNT09XjUajmpycrI4aNUpdt26d07gvvvhCPe+889To6Gg1OjpaTU9PV++++251586dHl832zkrpyi7W6OrVNtjx46pN954o5qUlKQajUa1e/fuLlPXT548qU6aNEmNi4tT4+Pj1UmTJqkbNmxwmer+4Ycfqm3btlWNRqPaq1cvdeHChZpSs1VVVX/++We1W7duqtFoVDt16qR++OGH1b7Wnhg8eLAKqLfcckuVfZ9//rl68cUXq02aNFGNRqOampqq3n777eqRI0c8zmlLhX7hhRdc7t+7d696ww03qCkpKWpYWJjaokUL9dJLL1U///xzp3GbN29WL7jgAjUiIkJt0aKF+vTTT6vvvvuuU2r2+vXr1QkTJqipqalqeHi42qRJE/XSSy9V165dq2k9lV97ranZqqqqs2bNUtu2bavq9XpJ0xY0oaiqRGgJgiAIglB3kZgZQRAEQRDqNGLMCIIgCIJQpxFjRhAEQRCEOk3QjRlbJ1XHn/T0dPv+4uJi7r77bhITE4mJieGqq67i2LFjQVyxIAiCIAihRNCNGYCuXbty5MgR+88ff/xh3/fAAw/w3Xff8dlnn/H7779z+PBhrrzyyiCuVhAEQRCEUCIk6swYDAZSUlKqbM/Pz+fdd9/lo48+YtiwYQC8//77dO7cmVWrVjFgwIDaXqogCIIgCCFGSBgzu3fvpnnz5kRERDBw4EBmzJhBamoq69ato7S01KngVHp6OqmpqaxcudKtMVNSUuJUodJisZCbm0tiYqKUyhYEQRCEOoKqqpw+fZrmzZtXaVjrSNCNmf79+zN79mw6derEkSNHeOqppxgyZAhbt27l6NGjGI1Geyt6G02bNuXo0aNu55wxY4bLEu+CIAiCINQ9Dhw4QMuWLd3uD7oxM2rUKPvvPXr0oH///rRu3ZpPP/20SmdYrWRkZPDggw/aH+fn55OamsqBAweIi4vzevzJd9/lxFtvE3/FFaQ8+n/VWoMgCIIg1Eeyrr0O0549tHzrTaL793c7zmIysXvgIADaL/4NvYb7b2UKCgpo1aqVvfWJO4JuzFQmISGBjh07smfPHi666CJMJhN5eXlO6syxY8dcxtjYCA8Pr9KhFiAuLk6TMWOKiqZYryfGGKZpvCAIgiA0FGIUBZNeT1x8PNEe7pGqyURMeZPduNjYahkzNryFiIRENpMjZ86cYe/evTRr1oy+ffsSFhbGr7/+at+/c+dO9u/fz8CBAwO3CF35i2aRTg+CIAiC4IhaZgZAMXjRQxwNkAB3Tgq6MjNt2jTGjh1L69atOXz4ME888QR6vZ4JEyYQHx/PzTffzIMPPkjjxo2Ji4vj3nvvZeDAgQHNZFJsQUYWS8DOIQiCIAh1klLfjZlAt4EMujFz8OBBJkyYwMmTJ0lOTua8885j1apVJCcnA/Dyyy+j0+m46qqrKCkpYeTIkbz11luBXZRSbsyoYswIgiAIgiOqWaMx4yH7yN8E3ZiZP3++x/0RERG8+eabvPnmm7W0IuxuJlXcTIIgCILghFpWZv1F74ObKcCejpCLmQkFxM0kCIIgCK6xKzNhno0ZpRZjZsSYcYW4mQRBEATBNaWlgAY3kyNizAQBcTMJgiAIgkvsykx52rVHytWZQAcAizHjAnEzCYIgCIJr7DEzhjDvg2330wBrA2LMuELcTIIgCIJQBVVVodyY8RYzYx1UHjcT4PupGDOuEDeTIAiCIFSlPF4GfHMzScxMEBA3kyAIgiBUxe5iQlsAsD2fSYyZIKCIMSMIgiAIlbEF/wIQpiFmRpSZIFKuzKgSMyMIgiAIdhyNGd+ymQK1IitizLhAkUaTgiAIglAF1RYzoyjajBl7SwNRZmofiZkRBEEQhKrYMpm0FsyzuZmknUEQUMTNJAiCIAiVsbuZNBozEgAcRMTNJAiCIAhVUUs1dsy2IQHAQUTcTIIgCIJQlbLqGTPSziAYiJtJEARBEKpQ4WbSEPwL0s4gqIibSRAEQRCqYG8yqaUvE0g7g2AiFYAFQRAEoSq+xsxIAHAwETeTIAiCIFTFFjOjpcYMSABwUBE3kyAIgiBUwe5m0tIxGyQAOJiIm0kQBEEQqlIRAOxjzEyAEWPGFeJmEgRBEIQq2GNmtDSZdDowAItxQIwZV4ibSRAEQRCqYOvN5HPRPOnNVPsotdRLQhAEQRDqEqq5msaMxMwEAXuRHzFmBEEQBMGGXZnR6mayCzNizNQ+9pgZcTMJgiAIgh2zr3VmRJkJGtJoUhAEQRCqYk/NNvqWzSSp2cFAUrMFQRAEoQqqyepmwucA4MAixowrJDVbEARBEKrgc28m+4EBWIwDYsy4QNxMgiAIglCVigrAvjaaFDdT7SNuJkEQBEGoglpqAqTOTN1A3EyCIAiCUAXVx2wmSc0OJuJmEgRBEISq+FhnRlKzg4g0mhQEQRCEqlT0ZpIKwKGPTtxMgiAIglAZe9dsXwOAA4wYM65QxM0kCIIgCJWpbqNJKZoXBMTNJAiCIAhVkTozdQkxZgRBEAShCvau2T67mUSZqX1qSRYTBEEQhLqE724m24FizNQ64mYSBEEQBBf42GhSUrODiRgzgiAIglAFW6NJnysAizETBOwVgMXNJAiCIAg27KnZks0U+lQ0mhRlRhAEQRBsVLvRZIAJKWPmueeeQ1EU7r//fvu2o0ePMmnSJFJSUoiOjqZPnz588cUXgV2IuJkEQRAEoQoVAcCSmu2SNWvWMHPmTHr06OG0/YYbbmDnzp18++23bNmyhSuvvJLx48ezYcOGwC1G3EyCIAiCUIVqKzMNwc105swZJk6cyKxZs2jUqJHTvhUrVnDvvfdy7rnn0rZtWx599FESEhJYt25dwNYjbiZBEARBqEpFnRkfU7MbQp2Zu+++mzFjxjBixIgq+wYNGsQnn3xCbm4uFouF+fPnU1xczNChQ93OV1JSQkFBgdOPT4ibSRAEQRCq4mOdGaWWlBmNplXgmD9/PuvXr2fNmjUu93/66adce+21JCYmYjAYiIqK4quvvqJ9+/Zu55wxYwZPPfVU9Relq7DxVFWtuBiCIAiC0ICp6JqtNWamAbiZDhw4wNSpU5k3bx4REREuxzz22GPk5eXxyy+/sHbtWh588EHGjx/Pli1b3M6bkZFBfn6+/efAgQM+rcvJeBF1RhAEQRCA0G00GVRlZt26deTk5NCnTx/7trKyMpYuXcobb7zBzp07eeONN9i6dStdu3YFoGfPnixbtow333yTd955x+W84eHhhIeHV39hDsoMFgvo9dWfSxAEQRDqCRV1ZkIrNTuoxszw4cOrKCw33ngj6enpPPzwwxQWFgKg0zkLSHq9HksgFZPKbqbAnUkQBEEQ6gzVz2YK0ILKCaoxExsbS7du3Zy2RUdHk5iYSLdu3SgtLaV9+/bcfvvtvPjiiyQmJvL111+zaNEivv/++4CtS9xMgiAIglAVu5tJazaT/cB6HDPjjbCwMBYsWEBycjJjx46lR48efPDBB8yZM4fRo0cH7sSV3UyCIAiCINSgAnA9jplxxZIlS5wed+jQIfAVfyvjoMyoFimcJwiCIAiFJjOm4hLCgGJVwajlILst04CVmaDhqMyooswIgiAIgqqqhFnKgKrZTC+tfYlLv7qURfsWOW1XGkJqdqjiFDMjLQ0EQRAEAcrKKn53cDOtPLyS2dtms69gH48tf4z8kvyKcdI1O4hIzIwgCIIgOGEL/gVnZebrPV/bfz9bepZlh5ZVHNQQu2aHDJVSswVBEAShwWOrMUNFALCqqqw4vAKA3k16A7D6yOqKYxpSo8lQQ1KzBUEQBMEZ1cGYoVyZOXD6AHkleRh1RiZ1mQRA5slMFwcHdm1izLhDmk0KgiAIgh2bm6kMBaX8Hrnp+CYAOid2Jr1xOgBZ+VmYLeWGTy2lZosx447yCyWp2YIgCIKA3c1k1lW0+NlywlrFv0dyD1rEtCDSEEmppZQDp8t7IkpqdnCxu5osZZ4HCoIgCEIDwOZmKnMwZrae2ApAj6Qe6BQdrWJbAXDw9EFAUrODj7iZBEEQBMGOzc1UWm7MqKrK3ry9AHRs1BGA5tHNAThy9oj1IEnNDjL6ioslCIIgCA0emzKjWO+POYU5FJoL0St6uyLTLKYZAIfPHLYeI6nZwaXCzSTKjCAIgiDYlBlbzEx2QTYALWNbEqa3pmrblJnDZysZM6LMBAlbAHCZxMwIgiAIglopADg7PxuAtLg0+5iU6BTAqto4HxzYtYkx4wZb2pm0MxAEQRAEwFyuzJS7mbIKsgBnYyYxMhGAk0UnrRtEmQkyNmNGlBlBEARBqKgzU0mZaRPfxj6mqjFjPzqgaxNjxh1SZ0YQBEEQKih3M9mymWy1ZFLjUu1DkiKTADhdepqSshJJzQ42FW4mCQAWBEEQBNUhm8miWuzp181jmtvHxIbFYtQZgXJ1RtxMQUYCgAVBEAQ/Umgyk/bID6Q98gOFJrP3A0IMx2ymk0UnKLWUolN0NIlqYh+jKIqzq0nqzAQZva1onriZBEEQBIHSimymo4VWVaZJVBPCdGFOw+KMcQAUmAqkzkywURRxMwmCIAiCDdWezaSrcDFFN68yLi7chTFTXV3g5F5NwwzVnL7+I24mQRAEQbCj2pUZA0ddxMvYsCszJQUOB/tgzZQWw/ZvYd0c2LVM0yFizLhB6swIgiAIQgWlplI2J7Vjc1I7Dm/PRVUVmkU3qzLOZsycLj3tW2p2znarAbPpYyjOK9+ozYEkxow7pNGkIAiCIAAwY0Emc7dGU3jendYNm0AxPMyGCBX6OI91VGYUb9lMprOw7SurEXPwT4dJWkKfG6DdZfBcF6/rE2PGHXY3kxgzgiAIQsNlxoJMZi7NAr3RabtqjmfxRpgRl0nG6AqDwylmxl2dmSObrAbMls/A5o5S9NBpFPSdAu2GgU4PBQVoQYwZN0idGUEQBKE2KTSZ6fL4QgAyp48kyhj8W7TJbGHWMmvbgqqZSQqgMmtZFg9dnI7RYL1vxhpjAecAYFVVobgAtn5uNWKObKyYplGaVYXpNRFiU6q1zuC/UqGKuJkEQRCEBs7cldleKpQoWFTruJuHtAUqBQDbDKD1c2HbXVB61vpYFwadx0LfyZB2fsU9t5qIMeMOcTMJQq0Tit9MBaEhsy+30OdxdmPm1F9w4ET5gOXQpggSO1gNmJ4TIDrJb+uUTwo3iJtJEIRQQAw8IZi0bhylfZyqwv6VxP35NgAFZ46AqRiIgJb9Yco/oPWggBTSk6J57rA3mhRjRhAEQWiYTBqYhs6L7WFQVG5QfoA3z4X3RxG3y2p8FxgMkJxuHdRnMqQNDlhFYDFm3GG7emLMCIIgCA0Uo0HHrUPaWB9USa9WAZXXwl4n7JdH4cQuCIsirsuVAJxWgIRWDmMDh+iVblDKW5yLMSMIglC/8bcrr9RSytIDS/nz6J+cLD5JYkQiA5oNoG+Tgf5Ybq1jS7v+6JdtnDZWuJ3idKf4t34Ol+jWQLOeVvWl+zXEGSNhrrX4jNkWqhHgArRizLhDAoAFQRDqJMGMM/p136/8Z91/2H96v9P2j3Z8RJu4tugiLsFSnFpr6/ELljIyOhzmb3NeZdWhBFb2iGZht2KeLNnKJR0ugz4vQvNe9uFhQKQhkiJzEWbV2gIh0F2zxZhxQ0XVQjFmBEEQBM+UWkp5ae1LzNs+D4DGEY25JO0SWsS04MDpA/yY/SNZBX8R1XomxYevBUYGd8FayD8EG+fB+g8g/wCGvAR6nDjJX2U6DNE6UsbMgtbDXB4aa4wtN2bKqI2+2WLMuEMvbiZBEATBO6WWUv7++9/5df+vANzY7Ubu6HEHUWEVLpl7et/Do388zpKDvxHRYj4rDg9kRNrQIK3YA2Vm2P0zrJ9j/d/2hT4inrL4dsARThiMgJkmce4VpiiD9bmXYbEaGgFWZiQA2B3lAcDiZhIEQRDcYVEtPLL0EX7d/ytGnZFXLnyFB/s+6GTIAMSHxzPjvBcozeuNolh4fMU/OXD6QJBW7YJT++C3Z+CVbjB/Auz6yWrItB4MV/wXHtqJJdGamVQWZgIgOSrZ7XS251+mllk3BLhnsygzbrAHAIubSRAEQXDDO5ve4ed9PxOmC+OVC19hSMshbsfqFB3FR65CZzzJ6aj9PLXiKWZdPKsirKG2MZtg5wKrCrN3MXaLIyrRWtSuz2RI7mgfrpaWWg/TQ7g+3F4czxV2ZcZuzEjMTHCQOjOCIAiCB37Z9wtvb7IWiHt84OMMbtSH07/8Qsnev7CcLkDfOJGoc84homuXikKsGCg6fC2JnV5j9dHVfPfXd1zW7rLaXfjJvVYDZuNHcPZ4xfa2Q60GTPoYMIRXPc5sDeYt00FyZBOPRlikIdI61i4IiDETHGx1ZsTNJAhCHUQqBweWw2cO8+jyRwG4qcVVDPg0k12fPIlaUlJlbFhqKkl33UnYJaMBUEsTubnbbby16XVeWvsSI1JHVHFL+Z3SYtjxPaybDdnLKrbHNLU2eOwzCRq39TiFTZkp00NSpOdWBFXdTGLMBAVxMwmCIAiusKgWHl3+KGdLz3LN0daMfusnTuXnAxDWqhVRffuij4/DdPAQhStXUrp/P0ceySDiy69p1HgkpyLimJg+ie//+ob9p/fz8Y6Pubn7zYFZbM4Oqwqz6WMoOlW+UYH2I6w9kjpeAvowTVPZjJlSvVWZ8YTNzWTGeg+V1OxgIW4mQRAEwQUfZn7ImiN/MmGFniuW7sUChHfuTJNpDxE9aJCT+8VSWEjuh/M48fbbnP3zT+5qdpaZ3ccxb+Uhbu56G0+sepT3t73PdenXoeDCtVMdTIWQ+TWsmwMHVlVsj2sBvSdB7+sdKvP6gJMx4z74F1woMwFGjBk3KNLOQBAEQajEwdMHeX39a0z5xcLotdYbdeMbb6TJA/ejGI1Vxuuioki67VbejerE/LWHORURC8DzC3eiUwwktz6ffJby2c7PGN/x+pot7ugWqwGz+VMosSpFKHqr+tJ3slWNsXkdqoFqqggATvJizFTEzIibKbiUX3BRZgRBEASwukpm/DmDMUuLGL1WBUWh6WOP0vhvf/N43IwFmczcehrCY5y2Wywqx7JHEdHiJPN3zueq9hN8X1TJadj6hdWIOby+YntCKvS5AXpdD3HNfJ/XBarZZswoJEdpdDPVUmp2SNWZee6551AUhfvvv99p+8qVKxk2bBjR0dHExcVx/vnnU1RUFNjF2JWZAF8BQRAEoU7w2/7f0P+whGuXWb/kpjz+mFdDxmS2MGtZlvVB5ewfRQEVSo5dxsHTh1l5ZLm2hagqHFoH394HL6XDd1OthowuDLpcDpO+gvs2wfl/95shA6CarPVlzNVxMzUUZWbNmjXMnDmTHj16OG1fuXIll1xyCRkZGbz++usYDAY2bdqEThdYO0xRyue31I6/TxAEQQhdCksL+eiLp7j/J6shk3jH7TSa4F1Jmbsy2/N3YkVBNcdTVtiGT3fNB8a5H1ucb3UhrZsDx7ZUbG/czupG6vk3iPFsZNQExzoz3txMVZWZBmDMnDlzhokTJzJr1iyeeeYZp30PPPAA9913H4888oh9W6dOnQK/KL24mQRBEAQrH6x8kynzj2OwQNRFw0meOlXTcftyCzWNU82x/Hl0FYrhAlRzgsMOFQ6sxrzmfUo3f0mkYlVH0IdDl3FWI6b14KqqTwBQTda081KDd2XGFjNjN2YC7GcKCTfT3XffzZgxYxgxYoTT9pycHFavXk2TJk0YNGgQTZs25YILLuCPP/4I+JoUcTMJgiAIwNEzR4l7YQ5JBWBukUzLGc9prtrburG2+jHp+kZYVNBHZQPw4ZItlC5/E94aAO+NxLBlPpGKiZ2WlphG/Ase2gFXzYK082rFkAGw2LKZCCei3Fhxh83NVFvKTNCNmfnz57N+/XpmzJhRZd9ff/0FwJNPPsmtt97KTz/9RJ8+fRg+fDi7d+92O2dJSQkFBQVOPz4jbiZBEAQB+OmNv9N7dxlmg0L7N2aij4nxflA5kwam2UMwXaKqJBeeYsAahbN7HsZc0AuAf/12mPO/i+Wno7FgiMTcYwJXljzJSNPzmM+9HaIa1+xJVYdyY8akum9jYKNCmbFWDQ50nZmgGjMHDhxg6tSpzJs3j4iIiCr7LeUunttvv50bb7yR3r178/LLL9OpUyfee+89t/POmDGD+Ph4+0+rVtXIp9fb6syIMiMIvlJoMpP2yA+kPfIDhSaz5uNM5gq37pzl2U6PBSEY7Ny+nO4frbU+uHUCkZ07+3S80aDj1iFtPI4ZcngT7zS9GLU03mn7ERpzR+n9PN9zAaZL32C92hEITh8n1WJBMVu/3JeqsV7HV1FmAkxQjZl169aRk5NDnz59MBgMGAwGfv/9d1577TUMBgNNmzYFoEuXLk7Hde7cmf3797udNyMjg/z8fPvPgQO+dya199EQZUYQaoUZCzLp8/Qi++PnF+4k/bEfmbEgM4irCj5i4AUPVVXJfuTvRJngaNsEut3zz2rNkzG6C7ef36aKQhOplPJs08X80bo88aWKu0gBFGauOBL0666aK76U+KbMNIDU7OHDh7NlyxY2btxo/+nXrx8TJ05k48aNtG3blubNm7Nz506n43bt2kXr1q3dzhseHk5cXJzTj88oUgFYEGqLGQsymbk0q0qImkWFmUuzGqxBIwZecFn/3guk7jxFiQHS/v0Sir76BecyRndh/WMX0YgCLlbWMCfuHbYap9D21HJywhp7jHuxqPDxavdf4GsDW1o2gMkS72GklYpspnIjqD5nM8XGxtKtWzenbdHR0SQmJtq3//3vf+eJJ56gZ8+e9OrVizlz5rBjxw4+//zzwC5Ob1NmxM0kCIHEqQ6HG2Yty+Khi9MxGqp+/6qvDRVtBl5lbAYeWG+QQmAozc1FffMDAHZf1Zdrug2q/mRlZtjzCzFr32dt+EL0igomICKerdFj4LD3Kfaf0pYVFShsadkApWqC1/E2N5M9VqY+GzNauP/++ykuLuaBBx4gNzeXnj17smjRItq1axfQ80qdGUGoHbzW4cB6A5+7Mpubh3ju6ltfqKmBFwzqslFZ2ZV385C2rJ/+IPGFZRxsomP4tJerN3HeftjwIayfC6cPW2+4Cvxp6UTPcfcR3v1KdKuPwuHtXqdKbRTgrtpesBfM04GlTLubSbULTg3MmFmyZEmVbY888ohTnZlaQerMCEKtoLUOh9Zx9QEx8GqPGQsynQzH5xfu5OWftjFt01mGAKfuuYbGsT4UoisrhZ0/WjtV7/kV+008sjGl3a/jkmVt2Ku2ILP7SDAamDQwjWcXbPd4vXUKTOifyvMLd7ofFGAcC+ZZSr27mcJ0YYTpwoAGVDQvFJE6M4JQO2itw6F1XH1ADLya4UppcaVguXPlmdDzr3Mnc/Wx+TxzpcYv0rl/wfoPYMM8OJtTsb3N+dBnMnQeS6lFz96lC50Os2U7uVqH1RBSuHVIm6ArcJbygnlmPaz4++WalLeosChUpRgIfGq2GDPuEDeTINQKWr+ZThqYVmtrCjZi4FUfV0rLCz/v5NYhbZxijDy68hQFVJWvml3Jv6jaCduOuQS2f2dVYbKWVmyPbgK9/mZt9JjoEBLhpkyBbV2zljkHwYdRwk3ndyZjdBefShwEgrzTxwFbK4MkTcdE6CMCncRkR4wZd0idGUGoFTx/M7USCt9MaxMx8KqHL0HTWnomlanhrl15x3dZDZiNH0FRru0AaD/cqsJ0GgX6MJ/WnjG6C3cObU+v6Yu4Mvs7+h88SGTrQi4b/ZtP8wSKU+XGTJlBh0GnzXQI14dXlMUJ8K1UjBk3VNSZkZgZoeEQrCDOjNFdKC2z8N7yfU7bdQpVvlE3BMTA8x1fg6Z9duWVFkHmN7BuNuxfWTEgtjn0vt7608h9yRAt2K7npqbNuXXj71hOQtG+LCJbey66VxucOnOcRgBh2j8Twg3hFTaMuJmChL3OjLiZBKE2mDYy3cmYeXhkJ7exDg0Bd66HhmrgecPXoGmtLrqOYSdgwd9h8yfWrtVgvT90GAl9p0D7EaD37610b2RvtrT/nO57Stk98xV6/OtVv85fHfLOnKARoBi0K04ReofK/vW5nUFII3VmBCGoTB6c1mANGRu2QmuOrH/sIk2GTEOrHOyr0uK1ZxIqSeQzYfXl8Od/rYZMfCpc+Cg8sA3+Nh86XeJ3Q8aKjgOX9rX+9sNvlOXlBeAcvlFw5iQAitFDDFEljHpjraVmN+xPCg9U1Jmp3x8AgiCENpUNOi0GXkOsHOxr0LRTz6RKqoGCBQV4Juw99Ho9dL4Mrv8Cpm6CC/4Occ39uXTX6xx6GVlNQV9i5tT8TwJ+Pm8UnLXGBul9MGZEmQkFdOJmEgSh7hEKrSG6PL6w1rNvvCstVYOmM0Z34e4e0STa3EflpJDLy7HzuGTkpfDgdrh2rtWdpKu9W2b/ZgP5/lzr+U7Om+fUGykYnCnMA0AfHqn5mHB9uF2ZkdTsIKGIm0kQhDpGXawc7C98CppWVTi4BtbN4bo5PzFqXzg/prcl69xwLo1LZcTIcRjbf+SxX1KgSYxM4kj/tuT/uof448cpWvp70NZSaDKz89ARRgF6Y4TX8TbC9eG1lppdv97N/sTmZlLFzSQIQt3AlyDY+oi77tQ6BW4/vw0ZQ1Ng1Tvw1kB49yLO/PgZZ/YZURSVlf0PseL0ZQy97QWMHYYG1ZCx0bdlfxb3sK7j9GefBXUtYVhjjcIitNc2Cjc4pmaLmyk42NxMZWLMCIJQN6gvlYMLTWbSHvmBtEd+8NldVTlo+uGRHdlxcywZRS/DS+nw08NwfDsWJZLDW1sA8GM/hS2MI0/VVgyutjgn5Rx+6WW9FxWvWEHTsyeDsg6zpRSjaq0AHB4erfk4J2UmwBKNGDNuqHAziTEjCMFA603McVywq6QGG6kcbMVo0NGYAm7Vf8/tW67F+OFY2PIplJVA0+4w+kVyGz1M2clicmNg7ZgOlOb3Dfayq3BOyjnkNFLY2MZakfiSfauDso6TRScxlIePhoX7oMzoa6/OjBgz7pA6M4IghCCeVIvqBMHWKywW2Psbxi9vYlX43fxf2EfocvdCWLS1tcCtv8EdyzA1vZic/80G4IPhOu45L4NQvB02jmhM+4T2/NJboQyFFmeOo6iWWk+1P1503G7M6Izhmo8L1zuMlQDgICGNJgVBqGOEauXggFeWPn0UNnxobfSYt896Y1Ngo6UtncfcS3ivayA8FgDVYuHwo4+hmExsTlOIHz2aPk36AQs9nSFonJtyLnObGtk48jJORiYA7vtNBYoTDsaMEuZD0TxDBIW1VGdGjBk3KDq99RdxMwlCwHC8ya19dLjXMbXZYiHU1+KOBlM52FIGe361thfY9ROo5Xfb8DhKu17NuJXtyVTTyOw9EhyuU94nn1C0Zg3FYfDBpdG8129acNavkX37OlF4pDuFlZKIXPWbChTHi3IwlFnfTIpRuzETrg/nbPnvkpodLOx1ZsSYEWqHunCj1Erl6rMNuS1BMHBsWgj1rDVE3gGrCrPhQyg4WLG9VX9re4Eul1OKkcwVVZWW0kOHOPbCiwDMG6rj6qF30TS6acjGWpnMFn7eUF6kzk12VW2k2h8vOk6YLeLCB2XGsc5MoKm7n5YBRgKABaF6zFiQ6VTrpLYlccGK482tzreGKCuFXQutnap3L8LusohsBD0nWONhmnSuGO/COFFVlSOPP4FaWMj2lrD7wrbM6Hx97ay/mlhT7T1bA479pgLFiaLjJNrcTD5UAJaYmVBA6swIgs/Yqs9WJpCSuKMKNG/Vfu4c2r5u37jrGI6Kor9ppRwjbMnTsPljOHOsYkfaEOgzGTqPhTBtRdxOfTiPs8uXYzLAzNEGnjtvOmF67SqDP4gyGsh+bozm8aGSan+86DgpNmPGh0aTTspMgMNPxZhxR3kAsNSZEWqLyinGdc3NFIzqs5VVoJd/2c2rv+4WFaguYzahz/yWuWEvM0S/FVaUb49Ohl5/sxoxie18mrJ4506OvfACAB9eqGPo4L/Ru0lvPy/c/4RKqv3xwpxqBQCHG2ovNbtufVrWIopeAoAFwRd8qT7rShKvnGrqLfU0GCqQoB2T2UKUdo8EnNhtdSNt/IjwwpMM0YNFVVDbDkXfbwp0Gg0GXya0Yikq4siDD4HJxLr2CpvPb8FXfab6PE8wmDQwjWcXbMeiqlSU0nWmNlLtHbOZkEaTdQxbnRlxMwmCJmoqiZ/3/OIqj901RdSqApnMlhpVkxWqT5+nF3lvallaBJs+gfdHwxv9YMXrUHgSS0wKr5kv53zTy5RM+By6Xl4tQwZVJfdfz2Lau5fcGHhrjI4nBz9FVFjdKBro1Nm7sp+m3DgIdKp9kbmI06Wnq6XMGPVGBxtMlJngYKszI24mQdBETSVxd12eS138DfqiAk3on6ppXUL1eHHhDpfbHRWyqSM6Ou88lmlVYTbNh+I86zZFBx0uhj6TKU4bxn+e/LXGa7vsrz84u+UbLAq8PlbHlf2mMLD5wBrPW5vY1MX/Lt+KWlbRSiCxuICrL+oRcPXxROEJAAxlCqD6lJodoY8QN1OwETeT4C/qU8q1JyokcfdjKkviWqqYzl6xr8q2UAmMbOiYzBaX18eRWcuyuHNoeyIp5lL9KsLn/AcOra0YEN8Kek+C3tdDfAvbxDVeW8/ju7lt63cAzB2mw9KnK1PriHupMhmjuxDXdDlvrJ5HWUE6T/2aRfcDW2l7/ZyAn/tYoTXw2lBqAEy+x8yU6wKBrjMjbiZ3iJtJaIBUrg/jS8l0Z0ncNZUl8Y9X7/c6ryvjKFQCIxs6WhWyZR88xerwu3kh7L/oD60FnQHSL4WJX8DUTTD04QpDpoYUmsxccv8c/vnnXPSqhd+7Kfw2MIrnz3++1rOXfMWW7ZT93JgqX3r6pvTGEP0XYcm/M7hXGnpUTv9Sc/XKG8eLjgNgMJd/wfexzoyNmb//FVA3rxgzblDEzSQ0MGYsyKTP04vsj59fuJP0x370HvfgQMboLtw0uLXLfTcNbl1FEt9/qnrKSUPuQTRvlXcDsLbQqnxZDq0jTiki29IU09DH4IFMuG4edBgBtmrrfqL04EGeXfFf4koL2dUc/jtKx/TBT9Mm3rOhHeqkN+6CajGgM5zlbP9uAJxZujTg580pzAEgrNyYUXzszWRTZpQAx8yIMeMOaWcQ0khQp3+xZQa5i1vxxaCZNjJd8/bURtVTTqqjAtVVKsekvPzL7iCtpCpala+wpulMMP0fF5pewjzofohtGpD1lObkkHP7bSQVF7A/SWHGeD0Te9zCJW0uCcj5ahOj3khZsVW9ykzTg06HKSuL0sOHA3re44U2ZcZqlSjh2o0Zx5gZMWaCha3OTID9fIIQbHzJDPI3WoJz3SkwGaO7cPv5bVzud6UC1UVmLMjkveXuY1LcBd9WJlDG/1V9W6JgwX2miopBURl0079ZaemKGsBbjungIfZNmoT5wAGOxSs8e52OfHMXbu9xV8DOWdtYiloBsKVkL5E9egBwdsUKT4fUmJwiqzJjtBkzPgQAG/WOGWiBFQbEmHGDUt6bibIyzwMFoY7jS2aQv9GinEwZ5NptBdYsGVdrd6cO1SW0GJmzV+wLiJHpFVWFfSuIWXA3rxreQIFyo8ZpEKDUSk+o4p272Pe3v1G6bz8nGul5eoKOE4ZUig5fh06pP7e5siKr8b/15BaiBw0CAm/MHDtrDQAOM9saTfqgzBgi7KnZOgJ7L60/V9nflLuZJABYqO+ESmZQZYVFp8Dt57eptmFiUyMCVWo/0ATTyHTL2ZPWWjBvngvvj8Kw9VMuM6zi/wxzicTkNFRB4ZbBga/EXLDwZ7InTMCck8PhJgb+byIciUyh8MAUsGi/8dYFbMbMnrzdGAb0A+DsipUBbYh89OxRAHujSV96M+kUHYpii4kKrDFTP3NE/YHtk9Xbp4kg1HFCJTNo0QPnM/w/FQGN6x+7iIQoY4ONiQoVIxOLBbKXwro5sP07sJRat4dFY+5yBVf/2ZGNajsqV6hVgfdWZKHXu6gz449lFReT85//cOqDuQBsbxPGv8dZaJrSngNrrwWHmize8LVnUrBQzfFYSmMh7DRZLfRER0dTlpdHceZ2Irt19fv5yixlFQHA5ckwvhgzAHqdHjCjKGLMBAVxM9UuDaUWSyhSnfowgaCyK6I+BO/WhKAbmaePwcZ5sP4DOOXg7mrWC/pOhm5XY9JFsXG1e+XLU+HDmlC4bh1HnngC0569ACw4V88HF1ronNyNly94g4GrVvv1fKGDQllxK3RhmWw+lcnwfv048/vvFK5dExBj5mTxScyqGR0GdiWkUmQIR7cjnxvTLZr/PnV2ZUYCgIOD3c0kyoxQvwnVzCBbnZvKDTgbCkFJP7eUwe5FMH8ivNwFfn3KasgYY6HfzXD7Urj9d+h3E0TEaZ7WW2G9yrird1R66BCHHnyIfROvx7RnL0XxEcy4Rsfs4QoXtB7GuyPfJT48wX5sffxiZCl3NW0+sZnIfn0BKFy71tMh1ebI2SOUFnSlYPc/eHLgzTx/zvXMWJvrU8kGXbkwoCiBDdmoX1fZj1TUmRFlRqi7aFW8po7o6LJpo06h1jpQv7Vkj9Pj5xfu5IWfdzJxQKuAnzsUMRp0TBnU2mM205RBrf1jZOYfgg0fwoa5kH+gYnvLc60qTNcrwKjdbVMZX7z1lTuhP79wJ//5aTtTC7cwfPHHYDajKgor+kbx3uBizkTpubPnHdzR8w50iq7eG7xltoymE1uI6jcJgKK161BVFUXxYv36yFuLd1N86Poq231p5qorFwaqBoj7FzFm3GGrMyMBwEID5eGRnaqViVLdm8nHfx6sss0a4HrAxWgr7lKTX1y4o15kNE0bme7RmEmOicBk1i75O1Fmht0/w7rZsGdRxWddRAL0vA76TIamtZve7q4TeikKL0b1ICJ5Ay1j9vPmeWfJTimhZUwr3jjvWfo07VOr6wwmZUUt0Sk6jp49yum2TVAiIijLy8O0dy/h7dv77Twms4VFG23vK9dG0qxlWTx0cbrH95/NzSTGTLCw1ZmRAGChgTJ5cFpIx614qsHiyQCoT9jUK1/UMyVvH2z5yBoPc/pIxY7W51lVmM5jISwyQCu2uo1cGcklpWW8t3QvqApUVhgUBVSV5wdcTnin54kwRHBrlxu4pfstdaYDtt9Qw2kb1449+bvZmreD9j17Urh6NYVr1/rVmJm7MhuLl2wwWzbdzUPauh1jS40XYyZISACwUNs4xgnMW7WfO4e2D2ljwh/4WiPF9roAmmqw+BNHlx24vynXNpok/zITo3SrmaD/jYi3tmIPxoxKhF5/s6owSR1qZb12A2xAK+5vbaFww0aK1q9j2a7jlPae5E4EAEWhVE2gX+Qk/jPmeprFNKuV9YYiXZO6syd/N5tPbKZHv35WY2bNWhpdd53fzuGvbDqdzmZmiDETHKTOjFCLVI4TePmX3bz66+5ai1cJBpWfsxZsr8u5bRprqsHiDyobMTaqo4oEksqSf5TRQPa0TrB+DurM+3jbeKJicNuh0HcKdBoDBu2ptqqqUmAq4GTRSY4XHefw6RzCGq3GUhpH2Rnba+BojThehIrtFovKzBX7SX5lDoOPbAUgr0UvTWvoEDGqQRsyAN0Su/HN3i/ZfHwzkb1vAaBo82a/nsNf2XT6cmFAJ8ZMcFCkzoxQS7iLE/AlyK6u4e45a8Giwqq/cv28ouoRStfILvkPaG6tB7N+DmQvA6xmRI6awKdlF3DzvY8T2dS7O+JU8Sm2nNjCrlO7+CvvL7Lys8gqyOJs6VmncREp1v9LC7pScmwsqjnBvk9RVVTcu43e7jEOY3QmO1vBmpSzUOT9eUondOia2B2AbSe3YRxgfd+VHjiAOTcXQ+PGfjnHpIFpPLNwNao5FndymZZsutpKzRZjxh3iZhJqAa19kbwF2dUltDznUEKLKyxUrpFl48ewYhYUnbJuUHTQfgQlPa5n0DwwY+CmRmkujz105hArDq9g3bF1bD6+mQOn3QdexxpjSY5IIu1sDHlr84jKTyamMIz2xz8n1lRKfngspyJi+W/3ce4XqyicjGzEmlse4bLeKYw1xPO3N45hUa3NEVxRXzuh+0paXBuiw6I5W3qWLEsOxjZtMGVlUbR5M7FDh/rnJIqZ8KbfWLOZVLWqQYq2kg06e1d0UWaCg9SZEWoBX0rWewqyCwbu0r7d3fxtMSZanrM/0Cn+EVY/Xr3f65hQuUbdcr4D/SmIawl9JkHv6yG+JWUmM2acXWXF5mJWHVnF8kPLWXlkJfsKqsYYtYlvQ5fELrSLbUOHgiiaHyohOvsY5u27KN6xg2XR4bzTYyInmiaUHwBJRXlctWsxxlTvTUQBGim9uah1NwBuHeJZsasvndBril6np1tiN1YfXc3mE5sZ3KMHpqwsijdv8Zsxc6zwGGFx29Ar8yk9MB4Tevs+X0o2VKRmizITFCrcTBIzIwSOkClZ7yc8xcHYYkzSU2JrZS2uarRUJ2h3/6nQv0YKFlI4xTmd20G/6dB+eEV5CaeBJfyy/2eWHvqNpQeXUmSu8OvoFT09k3owJKIb3U8n0PKYGWX1QUp27aJk70LU4mLKgILy8cubdeOZcydXOcWJiHhm9ryCc9MaQfYpr2t3dBvZbo6zlmU5GaK1We+ortAjuQerj65my/EtDO/RnfxvvvFr3IytJ1ObFnm82zuZJQ8/y+74FiRO+7tPf0NSZybYlLuZVIu4mYTA0SJBWwqs1nHBREscjEWFzCOn/XbOc9Ma8aeLG+ZNg1u7rNFSnaDd1Eah0bsqnBJKsAXrOgfZqihcOaAjhstvqHLcadNpfs76jYiWH2GI3sX/LTdjLFVpmgfphQn0L0ul3ZloGh0rpGz3Lsry1wAVRosNJSqKiPR0Ijp3Rt8pnX+vK1+Lq3gYYE32Ka/qmCu3UcboLtw5tD29pi8Cql/vqL7TPckaN7PlxBYie4wHoGjLFr8Vz7MZMynRKRjKzPQ4sZdYUyFDfSzZoG+IdWaee+45MjIymDp1Kq+88orTPlVVGT16ND/99BNfffUVl19+eWAXY4uZkQBgoYZULs3u+MGs9SPHv3U9/U8g4mAUPIcM6hT47w397Dc9R5JjInj+x+0uj/M1aHdC/1SeX7jT45iAxXKoKj2VPVynX8xl+hUss/TgqdIbOEKiw7kVbh3Shr87PJfC0kKW7lrI6rXfcmTnepJyzdxzSiXllEqLPD0JBbYvaSfLf6joea3TYWzdmvAOHQjv2JHwjh0I79ABY2oqit56Y3p32V+YFNevr33pwIC0RFZmnXQ7xp3byHFbqNc7Chbdk63GzN68vZjbtkAxGrHk51O6bx/GtLQaz283ZqJSUIus7w6TzneTwa7MNJR2BmvWrGHmzJn06NHD5f5XXnnF76WaPWGvMyNuJqEGuCrN7qgMHMzTkL4BmscFi49X7/e73X/jYM+l/D3FT3gzPkB70K6WG6nfYzmK8mDLZ0SsfZ9vwrfZN3dQDjJat5JPLRdymmgePr8VE5upqIeyOPrGrxzauY6Cv3YRcTSP1mdVWruc3GrI6OLiMKamYkxNJax1KsbWrYno2BFj27boIiI8Lk+rS61DSgw9WsWJ28gPVO7sHUUSLWJacOjMIbbm7yAlPZ3izZsp3r7dv8ZMdApqvtWYKdVXw5hRGlDMzJkzZ5g4cSKzZs3imWeeqbJ/48aNvPTSS6xdu5ZmzWqpvoDdzSTGjFA9tKRcB70zsp/QGldSGU9uiGkj0wnT6zzeCGvSh8cfQbt+vSmrKhxYbW0vsO1rMBehA4otYfxc1JfluV0pLgijdcExnjz9Hi1PHyfu60IOOUwRVf5jwxQXgTG1NVFpHZi5x8Th6CRefvBS4tq1QZ+QUO2l+vK+vXlI21p1G3lSQusbPZJ6cOjMIbac2EKa3ZjZQdyoUTWe+/DZwwA0i26GaioBqqfMoBjYnNSOHXGpAb0eIWHM3H333YwZM4YRI0ZUMWYKCwv529/+xptvvklKSkqtrUmUmdAm1D+wtKZcb35iJM8u2O5zXIEW3BV7CwQpcZ6/ybvjj4cvZNBziwG48/w2vO1g/JnMFjJGd2HyoDT7mAdGdHCqjOxrBeHK1CRo12835cJc2PQxrJuDenwnpWf1FOeGUVTchsLCJHL+OkUH03464DqrKjcGjjaCY40UzjSJpUV6X3r1HkWn7hdgiLN2ti40mfmo/L0Q3r07+hp2kp40MM2n921tuY28KaH1jR7JPfgx+0c2Hd/ENZ3PA6B4u2f3n1YOnrb2SmsZ2xK1xKqQlvpozMxYkMnc0rEUnhcDwIIAXo+gGzPz589n/fr1rFmzxuX+Bx54gEGDBjFunId6BZUoKSmhpKTE/rigoHIomwbEmAlZ6sIHltaU60/W7OfWIW3qfDrqNf1a8vIvu30+zvF5zaxk/PV5ehG3DmnDredXKCcTB6Q6HaMlbdoTNVG8anRTVlXIXob591kUrfyN4hMKRblhFOemUFZim7MEOEQc1godR+OiOZCkcCClkAPJcDhR4WgjiI1P5qLWFzGqzSh6Jve098IJJEaDzuv71m8dvTXSEItP9kzuCcDm45sJT78VgOIdNTdmLKqFQ2esml/L2JZgsv5t++Jmsl8PnXO39UBdj6AaMwcOHGDq1KksWrSICBc+2m+//ZbffvuNDRs2+DTvjBkzeOqpp2q2OHEzhSR15QPLl5Tr6eOsNTbqclyBP25alY0/2zUtLHXvSqquewtqvwCbajZTvHEVRQtmU7RmJUWHTZSeNQBxzgMNBtR2qZxs04itiSUs0GVxuGkxpjDbFzQdZSVNMJ/uwtwxN3JOs15eDZhAKJkZo7tQXFrGnJWuDcra7FreEItPAqQ3TseoM5JXksfx5lGgKJQdP4H5+HEMycnVnjenMIdSSykGxUDTqKacsLuZwjQd73Q93MS6+vt6BNWYWbduHTk5OfTpU9G+vaysjKVLl/LGG29w5513snfvXhIq+XavuuoqhgwZwpIlS1zOm5GRwYMPPmh/XFBQQKtWrXxam7iZQo+69IHlayyMN3eKL9Sme8kVvhSr0+ImmrfKfSXaFvHVT1kPtOJlzs2laONGitZvoGjVEop2/oVa6vh8rR+/5haJ5HVozr4WYWxMOsOyiP0U6vaDg1tJLQun7HRbzIXtMJ/ujFqaBED3pB5eDZlAKZkzFmQyd1XNlDF/UZeLT9aEMH0YnRM7s+n4Jjaf2UmXtDRr8bwdO4ipgTFjU2WaxTTDoDOgmkoB7W6mYFyPoBozw4cPZ8uWLU7bbrzxRtLT03n44YdJSkri9ttvd9rfvXt3Xn75ZcaOHet23vDwcMLDPbcu94ooMyFHXfrA8jWmAJzVjcrulLrEt3cP5tI3lgNwy3lp/O+PbMBqoFV2RX229qDX+dy9hjMWZPLfavR3UgynadJyGb8X7WXZlzr0ih5FUdChQ1EUwnRhhOnCMOgMhOnC0Cl6IlqeAlVv/1FVPf9eu55Ig5EwxUB0XgmN9p8ifl8uMdnHic7KIfx4fpVzlxhVDjbXszM1jE3NLexsZqEwIh9wHpsQnkC3pG50TOjGa99GoJqaAL6/HwKlZNakt1YgqG/FJ32hZ3JPNh3fxKbjm+jTubPVmMncTsyQIdWe0xYv0yKmBQBqediGSaObKRjXI6jGTGxsLN26dXPaFh0dTWJion27q6Df1NRU2rRpE9jFKaLM1CZaZPC69IGlJaagLsTCVAfH52QzZMBqoFU2Zqqbcv7Ed2uZs/xo+SN3JRtUKheXAwhv+g2FkVspPKP9fFERKo3OQKOz0Pi0SkoupPyxima5Ks1yIbbY9XEHkmBXC8X+czgRVEXBlh5t0IXRPi6NNvFtaBPfhvYJ7emW1I2WMS157sftvP5FFtXtqBIoJVNrTSGT2UKU9obcNaK+ZAVWhx7J1nImm49vJrzzRbBgQY3jZg6eqQj+BXzOZgrG9Qh6AHCooujFmKkttMrgde0DS0qze6elxsrG3U7soKnpMO/f/SnpR7bwbdeHwBjv1h9vpfI+a6dmfdaVfLg7H0OYHgx6VIMBVa+z/q5TrN9CC4uhqBiluARd/ln0hW6slXIsOoXTyUZyG5dwItHM8SYWjiUDCYnEJKeT1qQr3SIaEWuMpUlUE5pGNaVJVBMSIxLRu2g74A/lI1BKptbeWh+v3s+dF3rvzu0PqqOE1hdsQcC7Tu1CaXsLAKY9e2s0pz2TKcZmzJS7mTQqM8G4HiFnzLiLg7FRa40fbTEzquq38tBCVXyRweviB1YolWb3FPhZ0xTn6uI1C0pV0akqW5PS2Uo6vwLxjUeTHx5TvRMqCmeNUXymtGNi5i8+HVqiM5AbEUduRByHo5O4Zlx/oiPyMOatwJi3Ap2h/I0Z2Rh6/Q363ADJnXxeor+qKQdKydQ6vibB2b7SkJXQlOgUmkQ1Iacwh+zGZUQBJdnZqKWlKGHaAnYr45iWDRXKjNaYGafrUYOO274QcsZMqGAPAAarOqN30bRNqBG+yuB19QMrVEqzu1O8XDWH1Cnw6i+7qqUe+WIYhSkqafmHyY4rL4bp+KFX/sXFUumDMN/onOpZHeanj+DBey7DYLGgms2o5lIwm1HNZSgR4eiiotBFRaOLiqI0KppB/93M2bAIUBRaK0e5Tr+YlKJXUU7kWCc0AG0ugL6TIf1SMFQ/Zs9fXcUDpWRqHa+1p5W/aMhKaM/knizat4hN+sMMiopCLSzEdOAA4W2rFztY1c1UXgHYhzozttd77uJtFOor3guBuh5izLhDjJmAUx0ZvCF/YPmDyopXIAJEL3tzudcxSUV5XLzvT3LHvcjbR4+yvFk33ulxOSciEyoGKbaYF9eNDGuCWWfgq8h2mtwrhSYzpcZMxupWMkH/G4P0mdYdZ4HoJtB7olWFaeyfoHNflJIXF+7g8bHdXO4LlJKpZV6w9rSqbUJJCa1NeiT1YNG+RWw+uYUL27aleOtWSnbvqZYxU2Qu4kTRCcDBzVRS3ptJ75vSkzG6C0MyP+LQ1xtZ3iaJzjc9Wr8rAIckDsaMarGEfKO/ukh1ZfCG+oHlmHKdOX0kUW6quGpRRmYty+LeYR0DEiDq7ib36q+7SMs/wvjdv3H+wY3oUbEAZyKguMk20uO2syG5PabiTpjPdEA1BbZ1iab33/GdhK15n1Xhc2msWCOGLarC75YeDBr/IOFdxoCPH/De8EUpeW/5PsL0OpcGZ6CUTC3z2sYFg1BRQmuTnk2scTObjm/C2H6A1ZjZuwe42Oe5bC6m2LBY4sPjAd8DgB0xGgz0OLGX/MTDXB/A6yHGjBuquJkEv1MTGbwhfmBpRUtVXIsKD3yywW8Bol4NKFXl2yXbmbf4P+jLs4oyW8Gi3jr+7KRQbG7OPf0msvzLSNSymruRtOD2/WcqhMxvYP0c2L8Snaqw05LOdksrllh6sVltSx5xbGx3EeF+NmRAu/Jhw5PBGSgl09O8/m44Kninc+POGBQDJ4pOYGplrS9j2rOnWnNl5VuN1DbxFRnD1XEz2bAFuAe60aTcAdwhxkzAmTQwDZ0XySvUAnr9QaHJTNojP5D2yA81apToDq2Bl/tPaUuL1qJgeK0Xoyjkh8ewJaktK9MV/nGjnicmGlnSsjd5B++iMOs+xra5utYMGZfvq6Nb4Idp8FI6fH0H7F/JAkt/zil5hwmljzG9bApL1V7klVfs7fP0ImYsyPT72mzKh1ZsBqc7MkZ3Yf1jF9kfPzyyEzueHlVjl2zlecHaa0uofSIMEXRqbA02359kNRpKqpnRZDNm0uLT7Nsq6sz4brzrFasBpBDY+6goM+6o5GYS/E9dDegNZQpNZj7+033FXEdSG0Wy8+hpr+O0KGha68W8OjqeMykxmHIHUrpnAKo5zu3YQH7Lt7+vSs7A1i+sKsyhdRUDElJ5L+pmpv/VHnd1bALZQsM2n9b0bG8GZ6CUzMrzyN9q8OiZ3JNtJ7exOeYUIwBTVhaq2Yxi8O02n1XgQpkpspYmKKmOMWMvPSDKTFAQN1PtkDG6C7ef36aKQqNT4PbzJaA3UOgUePna3jVSxhxdS8fyPddhsXFc7cqZPY9gOnGxR0MGrI0KPeEtjs3Vfp0Ctw9pQ0bPYvhuKrzUCb67z2rI6AzQZRxc/yWmuzfwTFYHDWexuloCkdqeMboLD13UQdPYUKmtFGU0kP3cGLKfG+M2pksIDLZ6M8vLdqNERqKWlmLar+2LjSMu3UwlNTBmyo8RN1OwEGWm1giUDC6459YhbYiJMHh1Z7hTxmYsyKTP04vsj5fuPmFNpXZbB0pFp0DZ6Z5g0Za2PG1kultDd0Dbxl4/Givvj6SYLZceJOPAbTDrQlg3G0xnoHE7uGg6PLgDxn8A7Yczd9V+zaqQNzdPTdDiYq2PrljBd/o0tfY43J63g7A2aQCU7PGtk71FtbgxZmrgZhJlJsg4pn+KMRNwJKDXP3iLwamseFVHGbOlc7u92VcxaKwp1hMH+Nbs1bY+xziMB0Z0YMfTo+jYNFbjDCp9lF28YHiH9eF3EL3oH9bYGL0Rul8Dk7+He9fB4KkQU9GYL1CF5HxFy9+BuGIFsBbPaxnTEotq4XSLBABMe32Lm8kpzKHIXIRBMdAq1uHvtdiqzHxx/4U+K256ncTMBBVFUazqjMUixozgN7o8vpC1jw4PyrndpbD7kurusdChopRX+6yyA4Cpwzsyd6U22Xvto8PtH5quGnBqdav82zCT8Yal9seWpE7o+k6BntdBVGO3xwWqkFxNcBVDdNPg1vVSwbS5qwTf6Nu0LwfPHGRfooWO+B4E/Ff+XwC0imtFmK5ChbGUKzO6SN+71Ot1BkqxfgpY1MDdS8Wc94R0zhbqEZ4UL63KmNdCh4qLInflvPrrLq1L9Yq3TDgFC804wVX6ZRSpRj4vO58rS56k+NblMPAuj4aMlvkdqS03j6NC9fDITux6ZpTbgnlCw6Rv074AbI46CYBp3z6fjre7mOKc3c9quTKjC/e9snWFMgOlllKfj9eKGDMesAcBl5UFdyGCECLUxJ0yb5XvwYjucE5fdraurHK2wrT433jCPIX+JW8yrfQO1qsdNVcP9iU9urbcPOKKFbzRr2k/AFYbrLWmTNnZPvUzdBkvY7HYY2aUiAif16RXymNmVCgtM/l8vFbkr8ET5S0MRJmpuwS6pos/cfRFe/NLd3l8oc/Pxx8ZN4m6U9U+1ltA7X+XuZbEXb4uFgsZnY7ybNPfSCHXaXwchdzTS8+oB//Hh2UXUUD1ate4iyeyIRl32pEsp9qhZWxLmkQ24XB8GaqiYDlzhrLcXO8HlrPrlFU9bZfQzr7NZsgA6KpjzDgoMyZRZoKDKDN1j1AzXhxbEASbmhR5K7OU8c3X/6bP9DtIKsrzkLVUfT50iKeZt2q/S+NLOX0Elr4Ar/WCuVcwMf9/LA+/j6cN7zJA2UYEJeQTw51XXuSXHk6uCsOBZNwJoYmiKPRt2pdSg0JJorWzvFZXk0W1sDN3J2CtKGzfXlxRdqE6yozi8G0gkG4mMZE9ITEzQj2iukXedpzcwcJ/38uw7w5isMCE7B94Pf1vfl+fo3n08i+7efXX3dw6pA1Th7XjQt0GJuh/I+KNjaCWf7kIj6e029VctqI921XPNWlqgit3jrh5hFClX0o/fsz+kaONFdJOgCl7H1F9+ng97uDpgxSaCzHqjM7Vf23GTFgYSnUaLpd/qVAC7GYSY8YDdmVGjJmQxlH9CFamkD/wRwaH1iaTWppHlpaVMmvVa0S98B4X77DOe+q8rtz38juYlh3kv0uzAlo5wqKqzFz6F13WPc77xvKaNirQagD0nQJdxlGKke3LQ0P5EoRQYGCzgQDsjjlLGtqVmR25OwDo0KgDBoceTDZlpjouJiu1o8z49NXiwAH/BfDVCWwxM+JmEuoI9368wesYLUXetp/czn3/G0enaf+j/w4LZXqFqH/cx8BZnxEWG1denbajn1btDgUFlefOjuWEJZb/mUdRdOtyuHkh9JoAxtCoeitY8dTJXag9WsW1olVsKw43sn7VMGVnazrOZsykN0532l4R/Ot7JpP1wAplxmwJnOvfp3de69atady4MT179qRXr172H5PJxGuvvcacOXMCtc7goBdlRtCGozoUrA/1GQsyWbcvT9NY91lJZfxvy0z2fDyT238qJdwM5uQE2r/+NpG9ejmNPJSvrR8TQPcWcWw5VKB5vA0VHUdIYqDpDUoJ42/J6d4PEoQGzqDmg9jdyKrIaFVmtp3cBlQ1ZixF1r9zXXg1lRmbMQOY1RAxZrKystiwYQMbN25kw4YNfPrppxw+fBiAuDjPfVbqIopOlBmthMLNvCHjsZidC1wVedOFHyU2+VN0/z7AnZus3+qMg86lw0uvYGjUqMr41EbalJFWCRHVMmQcKcX3MuqVkfel0FAY2HwgSxvPB8C0fz+qqloLwbrBolrYcnwLUNHjyUaNlRn7RCGmzLRu3ZrLL7/cvm3lypVMnjyZ6dOn+3ttwUeUGaGWqZz9pPUG7LWYnQOVi7yVWcqYk/keaQlv8tBnJtoeA1VRSL7nHpLuvMO56aoDE/qn8vzCnV7PdyBPWxPK6vDiwh1ut08bKSqO0DDpn9Kf3EYGypQy9IWFmHOOE9a0idvxf+X9xenS00QaIunQyLm5aUXMjO/VfwG7EaUA5lDOZho4cCCvvvoqjz32GNddd50/1hQy2JQZSc0WQh1fitk5Fnk7XnicjGUZmJet5N/fWYguARLiSX3pJWIGD/Y4j3+zeaz9m1zhqow/WN1q7y13LaG72y4IDYEYYwy9mvfjePxyUvLAtC/bozGz8fhGALoldXMK/oWKbKbqx8xU/BpIZcanTyOTyXVaVYcOHdi2bZtfFhRS6G2p2YHt9tlQqUlNGCnC5YzW3kAD2yTa07L/OPQH47++ivYfr+Dhz62GTGbj1rT49HOvhkxltJb+d4/7CaYMqpp2rcWtNnuFGDRCw2VE6xEcaWz9u/IWBLwhx5o4UNnFBA7KTA1jZgLtZvLJmImJiaFXr17ceOONvPrqqyxdupQ9e/bw+uuvM2LEiECtMWgois3NJMqMEHwqp107PtbSS0gB5tx8LqVlpby09iUyvr6De94/zrhVVmP9q3ZDePi8OzGkpPi8Nse+QdVhYJtEt527XbmLtLjV5DtIw0S+6FgZljqMI+UtyPL2bHc7TlVVVh5eCcC5KedW3V9cHjMTWbPU7JAKAP7tt9/YtGkTmzZtYt68eWRkZFBcbrVdcsklPP7443Tv3p3u3buTnl4P/NX21GyJmQlVQqnCbiCZsSCzihLR5+lF3DrEWk7f1kvIVhTPFTcObs2xokM8vPRhzOs38++vy0g4C0p0NIlPTee/f1T/7m806GhJDgdxL2W7QwFmTe6H2WJx2bnblWpXkx5RgtAQaBLVBEOrlrD2AEd3bcRdp7Hdebs5XnScCH0EfZpWLa5nKa5ZNpMxzHofVVTQ6QJ3L/XJmDnvvPM477zz7I8tFgs7d+5k48aNbNy4kT///JNZs2aRk5NDWT2IM6komlf3n4sQOjgqKnOWZ9tv2u6YsSDTpZFSuaJvxuguFJaambvSdT2onun7uPbbpxm27DTX/W5Br0J4hw60eO1Vylq0gj98NwpjKGScfgUJc5/jhbBSJpQ+5vMcKtDjqYVO7iRvFXa1utUEoSGTlt4fOEDRAfcu1xWHVgDWysHh+qpxMXZlppoxM45ZVCGTzVQZnU5H586d6dy5MxMmTLBvP3bsWI0XFhKIMiNoxFE9KDSZPcrb5z2/2P778wt38sLPO+0KS2W0xIY4VvS984L2LowZE+Ep3/PCz6u57zsLPbOtCkz8uHGkPPkEushI32KWVBUOrsW49n3+DP+cKKUEjkFPJYwETpNHDJ5iYFxhUZ2Ddh3T/F0xaWAazy7Y7tGV5C5wuCHij+rStTmv4B8G9B1HLp8Td6KI3ad2V8lUAli0z6qGntfivCr7ACwlNctmshFSRfO00rRp00BMW+uIMlN7NKQPxco3WEeFZeoI56q6H6/eryk2ZO7KbHJOF7swfMowNv2Jc3NXcff3FuILrc3imv7fP0m4+mqPtSeqUHQKNn0C6+dATiYGwKDAHktzUobdzpCfmpJHrPb5aoAWt9qtQ9owdUTHBuGGFARXJLfrSi4QXQJfrv+Ah4c/7bR/f8F+Np/YjF7RMzLN9RcHtaim2UyOqdkhEgDc4JB2BnWOfs/8Wqvns2Vk+eO8s5ZlVQny3X9KW2zIF+sPMnNplgvDR4fp6FguWNaF+EII79SJZvM/ofe6KNpkLPCuyKgqZC+HL2+Dl9Lhp4chJxMMEZi7X8vVJY8zwvQCxf3u4BTWwpkTzm1ZZRqdAuemVS28VxMyRnfh9vPbuA0crg8drSWYVagJushILI3jAViz/ntOFJ1w2v/1nq8BGNBsAEmRSS7nsCszNc1mIoR6MzU0pNGkUJtYVKsS44jWKrvbj5x2s8f6QTKz+zgir/sbaZ9+Qljbtk4jXAZRnz0BK16HN86B2aNh8ydgLoam3WD0i/DQTkxj32Ktmk5ll9JdQ9s7PX54ZCd2PD2Kdk1iND0XX8gY3cUpk+qBER3Y8fQouyEjxoDQ0IlOtYb+JuSaeGfTO/bt+SX5fLzjYwCu7HCl2+P9lc0EgTVm5K/bEzpbnRkxZuoi3mJXPB0XrNYMlZWYCf1TeeHnnV5dTR53KwrHoxrx6/BB3BweDm7UGAUL22+MJOKbW2D792D74AmLhu5XQZ8p0KJPxTctjXE2tmBerYZZZby5IB0DhScOSPVzMT9BqNuEtWpF0caNNM2DT3Z+wrDUYQxqPoh3Nr3DmdIzdGjUgRGt3ZdWUf2kzNTJmJl6g62dgQQA11tCradU5Ru+ltiQrs1j2XbYnTJTgdt05jNHuUv/DdfqFxPxcU7F9ua9oc9k6H41hNc8FkZr+wNBEPxHWMsWAAxQ2/At+7j313sZ2Hwgvx/8HYAH+jyATnH/BcBS45iZiv/EmAkS9nYGEgDcYOny+MIaGTnuege5Qqe4vuHbXCazljnHxOgUa5BrdGSpJmPGMZ1Zh4XzdZsxfv4h+t0L+UeY9T2uhseidB8PfSdDs6rVQLUQadS73C6KSc1oSEHygv8wtmwFQHdTE4a2asOSA0vshszdve5mSMshHo+3d82OrJ6yqtRSBWAxZjxha2cgykyNCZYC4mtNF3+f25eS+hYVe9G4ymSM7sKdQ9s77X9wREd6djzOvxdkoKjTUFGcgu0qc+05qZB/EMPaD1ga/i4tlROwy7pvraUj88suZPq0/yMqJl7zmv2FTrG2LXDXUynUFDRBqCuEtbQG5JsPHeKVoQv4Zf8vZOVn0b9Zf3o36e31eEuRVdHVRVeztpM9m0mVmJlgEarKTH39YPf387p97jrW78uzP/ZW08XfaO1krWCtzuutOeJrv+5yevziol1E/JzHZbt7sKWjdwNt5X/v5aJT8zGqFloqkKdGE33u9Zh73cDVr1vPPd0Y7X3BfsZW7ddssVSrQaTj+6S+/C0Igr8wtrIaM6WHj6BTcZuC7Q61sNyYiapZoUqJmQkmoszUadY5GDI2KlfNDSRfrD+oadzf+rdi2sh0jzdydx2ii4nn0w7aPpwKj2eB3kJZ6mAe2NOLhZZz2HDR2PK9wWvKaAsQNptC8+9M3DtCXcbQtCmEhUFpKeZjxwhr3tyn4y1ny42ZyGoWzaulCsDixPZAqCozQs1xVdPFn8xYkEmm23RpZ9omeU5Z9lgF2Ieid7q0IXDPOkqu/5ZvLYMpwaj5WEEQ6iaKXk9Y82YAmA5q+4LliKXGyoyDMRPARpNizHjCVjRPUrNDFl8CbB2xVc0NBFpaENjQKdbS/J7w6q6yGzTuBqnoFBg5OQOS2rsZ4ztSw0UQ6gbGFuWupgPVMGZsAcDVNWYcUrNLy6RoXlBQbKVFxZjxSuVA20CqHjbcuV60orXzcpfHF5L2yA+a+xc98sUWzT2BJg5o5TUgeVu29nRmBVevu0Lv1ATNcwiCUL8Ia2XNaCo95Jsxo5rNqCXlRfOqbcxU/CfKTLDQSTsDLcxYkEmfpyuybJ5fuJP0x35kxoLMgJ3TF/XDHYHqvLx09wnvg8qZOryj2306tYylbz5Cj/ff1DTX5Og/MeL6w2LdvryAXxMbUUaD2waRgn+xtdPwxdgWGh62WjMmH5UZmyoDNVdmAp2aLcaMBxQpmueVGQsyXfYEsgXaBurmqTVTyB1a3DtaqK6byxuNi09w0YGlnPpiJ70PZ5FQkm/tk+QSlTDFwgMPPeoxDsZ2TQK1ZkEQQhOjTZnxMWbGFi+DXo9irF6MneLQaFJ6MwULmzIjAcAu0aKOBCrQVquLyB23DmlT43ozvtaR0US5wZIbkcTC1AvJOO8Orh37BFdEr0RRXLmRVEDhpiHtND8fv69ZEISQJqw8ZsZ08IBPxzkG/yo+JBu4ItCp2WLMeKAuKzO1IT9rUUc8BdrWJM6mui4if3ZUrqk65MiLP2W6VV6K9VG8bx7JJONioihx2qdTFJ+fj7/WXBPWPjo82EsQhAaDrdZM2fETTq4jb9Q8k4mG2TX7ueeeQ1EU7r//fgByc3O599576dSpE5GRkaSmpnLfffeRn59fOwsSZcYjWtURV+Ncxdk4PvbGpIFp6DR8UXAcY+veXF1DpsvjC50Mw5qqQzby123gy8Xl7jiX336s2+aahnGWiloPNX0+/kQymwQhdNHFx6OLsZaAKD18WPNx9oJ51a0xAw2vzsyaNWuYOXMmPXr0sG87fPgwhw8f5sUXX2Tr1q3Mnj2bn376iZtvvrl2FlWHlZnaQKs6Unnciwt3uI2zseFNTTIadHRrEedxTO9W8ax/7CL7Y1txNn9R0wDi+JIzFDzxf/w09THywmO91IxRqiRe+/v5CIJQP1EUhbAW1iBgX+Jm/KLMUDtds0Pik/DMmTNMnDiRWbNm0ahRI/v2bt268cUXXzB27FjatWvHsGHDePbZZ/nuu+8wmwMfua/YOomqYsy4Qos64irQVkvMhjeX04wFmWw+WOBxzGsTevv9Zu/ovruqb0tNz78yBksp9+35jA9/eYqSHxaQ64eO1L6gRdEKBjZ1RzKhBMH/2Ho0+VI4r8Y1ZqDWumaHhDFz9913M2bMGEaMGOF1bH5+PnFxcRgM7qXskpISCgoKnH6qhbQz8IjRoOPWIW08jnEVaKslZuOzte7/4LSmZVc38FhrjJHRoGPKoNYexzjub0QB/5fzAd8tzmDU1tUYSlX+ago/DDlbrXVWF29rFgSh/mFsaVNmDmk+xtbKQKluk0lwSs2u140m58+fz/r161mzZo3XsSdOnODpp5/mtttu8zhuxowZPPXUUzVem7Qz8E7G6C6UllVtEKhTqFFDx4N57oPUtAbefrXhEHdd6L+Kt9VDZaBuGzecXUjnTVkUHQ0HIC8KPh6qI3dgR7ZuukLTTArua/xqpVuLOK99oAKFY48jTwajq07ngiDUDFtGU+khH4wZe8xM9Y0Zx9TseqvMHDhwgKlTpzJv3jwiIiI8ji0oKGDMmDF06dKFJ5980uPYjIwM8vPz7T8HDviWjmbH1s5AlBmPTBuZ7vTYFpg6dUTHamdUtUxwH3CmNfB24dajPp3TV7ynZqt8v3wTL259g7SfD1F0NByzDr7pr3DfrVH82ORKnh32AZgTNZ3vxsGeFRUtSlTm4QLOFFdci9qq1qwVdwUYpTaOINQMm5up1mNmasmYCaoys27dOnJycujTp499W1lZGUuXLuWNN96gpKQEvV7P6dOnueSSS4iNjeWrr74iLCzM47zh4eGEh4fXeH2KrtzWE2XGJ7x1QdYp3l1N1/Rr6XZfszjPhq+N3cfPBvQmeNsHa708D4UcGvFHbg96qHtZ00Fh7jAd+3W9KDlwGVii+Wyttm9Jt5/fhqkjOnpUVD5evd/rPBYV+v/rV/vj5xfu5IWfK9ol2JSQmsYaVafTtK0AY2UsKh6ft3S1FgTv2AKATb4oM0X+CAAupz4HAA8fPpwtW7awceNG+0+/fv2YOHEiGzduRK/XU1BQwMUXX4zRaOTbb7/1quD4FVFmAoKWmA1PN9MJ/VM1n8tbsLGrWjdalYo/s09pGrc7KZanr9Px/GVJ7M27j5IjE8ASDcAbi/d6PPahizqw6xlt6ddZJ89oWk9l+8vRIKuNVhSu8Ed7CkEQ3GOLmbHk51N2+rSmYyx+Ts2utzEzsbGxdOvWzWlbdHQ0iYmJdOvWzW7IFBYW8uGHHzoF8yYnJ6MvNzYCRUXRPFFm/Mm0kemE6XXMWuacnq1FsQHPhk5lPM03Y0Gm0w30+YU7+ffCnRrjUmyjvKcGfTTMhLlkNKa95+Hrn5xWlWTGgkzNKo83bG0PgFqrYePPAoSCIFRFFx2NvlEjyk6dovTgQfSdO3s9xm7M1CQAmAYQM+ON9evXs3r1arZs2UL79u1p1qyZ/afacTC+YC+aJ8qMv8kY3cWpBszDIzvxx8MX1tr53fWU8nY/1eXv5xrdYqx/mt4MGRVFX0jh0WswnRxKoL472J6Lv22BQLWicIW/ChAKguAee9yMRleTWuiP1OwGVGfGkSVLlvDKK68AMHToUFRVdfmTlpYW+MXYCnKEmDFTkzYAwcLVmh0Vh8mD05zGz1u13+/PyzZf9VwaKjEUEvff/pyn36r5qBsHdAaLf+rIuOpGHUj3jKdWFP7GlwKEdeU9Lwihhr17tsYgYMtZa9kIf9SZATCrDciYCSWUEGxn4C7bwxbjYCvq1uXxhcFaokvOe36x/ffnF+6k46M/MuPHiriMFxfucBrz8i+7NcVu+FIAzhYgWz2XhsIZonjTPI4TeZ4rD9sY2CapSqaXvwm0e6a2FBOt7SkgeHE9glDXMbbwrdaMLbZGF6vtM88VioMyU1rWQHozhRwh1s7AnWvEFuMQyh/urm64c1dWuArfW76vWs8rPSVG8xr2n7LemGtyg/5v8Rj6LdpGUlGe28aQYP0yMufmc6t9HhvesrECbWzUtGWDOyr3ctJSgNGRuvCeF4RQw9f0bEu5MaOP1f45WwXH1GxRZoJDKCkzWtwJtRnjoAV/rWXm0ix7rZpCk9lJddpxVFsGD0BqoygKTWY+WFn9gnFnw6LY2qQN5+V/Uy6fujZobjvfWvm4pqnhs1fs8/g6BsrYANetKAJJxugu3H5+G5/UtlB7zwtCKFNROE+bMeMPZcZOgCsAizHjiRBSZrS4EyyqtlojtUVtrMUXF0vVlO7q+Weev7Af37YeyU2D09C5aA45aWArMkZ3YcaCzBpX2vUWt+KLewbgpsGtNY931Yoi0FQODPdGbcb1CEJdxx4zc+gwqgdl2YbflRmLWdN5q4MYMx4IpXYGWt0JNldKKBBKawHQ61SOFR6jbdQqBkd/X77V9z+sgpJzsJSkMG1kussb79ThHf0amOvp2vvqnqm85nPTGlXJydIp1iJ9tZWWXRlfDSjJhBIEbdgK56mFhZSd8lwnSy0rqwgAjquJMuP8CVOmBuZ+GvTeTCFNCDWa1OpOSG0UOLeDOyrL/CazhShjcNbiGpWIpl9z/if/RDGX0TwCYk+ojDh9kjWR48g3JthHKqoFFcWp0JMn3N14/RmY6+3a24yOynV73OG45tk3nYvJbKHXdGtQ+cMjO/mlAnBtEkhXmyDUJ3RGI4YmTTDn5FB68CCGxo3djrWcqXDh62P8oMyUfzaVWkox6PxvetSdT6wgUKHMBN+Y0eJO0Cmuq+MGMpW1cnYVQJ+nFzFjQaZPlXqrhb4ARWfCq7qiQsT+ofznrVLmvljGC++VMfVbCw8t3sK8Bc/y/B9vc9+GT3jy+GLuiDnpl6X5Sy3QGrdS2T3zwIgOms9ROUU+lAwZLe/52ozrCTXqYpkGIbhoDQK2xcsoEREoRmP1T1jpbzhQtWZC51MrFCnvzRQKRfO0uBPcxTgEKpXVW3bVa7/u8uv5LKqFLYfW0MvyIePOTOeefU/zt78+9u4pUhTywhuRE9YWnQpnwyLY1jiNmKuuIvn//o+3elzO672uYfzbz3Hvw9drVmVqIzB3yqDWmo0Lx3ETBwTYkKwlvLW+CEZcT6jgrUyDILiiIm7Gc3q2xR78WwNVBufUbAicMSNuJg+EWjsDd+4EnWL9UM8Y3YXp37ku6OZYon7qiI72jKDM6SOJMvr+NtASE+LYF8lbq4KbBrdm9op9VZ7XlEGtWbzwN84/uYill/6TVodMzHCyIbZw1ryUr9tf4HXNuybezaixPenx+npQFDKfsBag27etejV5Pl69v0qxPxuTBqbx7ILtXt0+P903hEteW+Z2f6Dr1IQ6nlpf2N7zDRFPTTlruxWFULcw2pUZz8ZMWYEt+LeGmUwOAcAgykxwCMF2Bq7aAOx42tqI0GS2eG2s6K9UVq3ZVTa8tSqYNjKdxQ8NtT8emhbHD62zuPilm3jrl7e5bsMe2hwwYbBAblQYa5u34IsOg4j9x4NEJps0rbl5t04YmjTRrLx4w1OAs9bA3OgI3/qLVa7P0hDw9J5viNTFMg1C6GBPz/biZrKcsRkzNaxgbjdmrP8HKj1bjBkPhJoyY8NdjENtpm/7GhPizRXw4sIdXPjSEvvjJdkFTNreiK1Ka0x6+LNtFIfuvZqYLz9n4kXP8sOAkXTrdZgWh/6PZ5rMphknUXD/4R2I2ApvAc7VqZtSGbkhWQnluJ7aRuvfuaSsC64Is1cB9hIzU2BzM/mnHYvNmBE3UzAIoaJ5Wghk+rZjsbrM6SP9nkHy3h/Z1l8cVJMTEfE8c+5kIvRHKLY0J/NvfVA3zOO38Fm01R21DiqDHWprOugOcsTiPjLfFlthNvnPOPh1+zGvQc4Zo7tw59D29myhB0Z04OVfdms+R5+nFzVod4pQFa1/55KyLrjCHgB8+DCqxYKic/3FwHK6AAB9nL+UGSuBqgLccL/eaEAJoaJ5WqjN9G2t2VVa0NnceJXdP4oCCqiWJF43vErk692IXvo0bXVHOaNG8JF5GHnXL2SM6V8stfTEVRfrQNZMWbs/j97TF3kdV5PAXCnbL1RG69+5pKwLrghLaQp6PWppKebjx92Os1f/jampMuMcAFwWIHFAjBlP1DFlpibp276iJSZkksONe94q166tdnkHseh0HuJYFEowkqQUoFjMlKb05h+lt3JuyVv803wL5pReuDJiwKqC+Bpb4Wv7gZqWktHqRvJXDISk79Z9tP6dN+SUdcE9isFAWLNmgGdXk8UWAFxjZcb2n/WXQBXNE2PGE7ZPjEC2JfYjRoPO51RWW5dtW+8jX8gY3YWbBlc9n06BHi3jmOtgwLhyrVy2dxlX7vld07k+LzufoluWkn/9T3xadiGFRHg9ZuKAVJ9iK15cuKPG7QcAnwJzL3p5qaZxNYmBcLzxPb9wZ5W6QELdoiZlGgQBtMXNlJ3xjzKjVHIziTITBBR9eaZJiAUAe8JdKm+g3C2Vz/fwyE7cNKgNmw8WuLcBVZUbMn/kzi3fkFRcoOk8X1guQG3Stcp2d4pPdfCWCRYIfLGTqxsD4aoOkFC3cRdcHuxWFELdwF5rRoMyo6sjMTMSAOyJECqaVxNqs0T9hP6pnr/5qyoxpUWM3/UbAJu7ZhOjO8VZSzyqBtv61UqF+HwJpvVGqN/kfYmB0OpKMpkt8g2+jlI5uLwutqIQgoO91syhw27HmE/lAnhseaAJe9G8cjeTKDO1T11TZhwzjhypzVTWj1fv92wUKApnjFFsSWrLrEsUenY8xYv62dZ+SF4iUF5cuIO5Kw9oXktlw6cu42sMxGdrPadd2gilLuuC70jKulAdtLQ0KDtpNWb0NTVmypGiecGknigztYnWtO9PB8YxoHkJJ09dyAzzBG4anIauUhCwTsEpJsdXN9C8VQfqTbCrrzEQB/OKNI0Ltc7mgiAEHi2F88y5flZmbHVmJDW79qlryoy7TBxfM3Rqgta077Oxqfwz9z88b57APjWFaSPTnaoE2zKRHGNyfHUD+Ro0W5PidoGiujEQLRMiNY0Lnc7mgiDUFvYA4KNHUU1VK6irJhOW/HwA9ImJNTyb8weruJmCQQi2M3DHjAWZbjNx3lu+z23PJn8zoU8yUUoJbl1GqgqUsqtwCOZKIVuV67H4QzL3JWjWWyYYVDV4fDWAfHF9TbuoY7XL9l/Tr6WmcQHvbC4IQshhaJKMEhUFFovLIGDzqTzrLzod+vj4mp2sUqNJSc0OAvaieSFuzGjp1fL+8n0uXS79nvnVL2vopOznCcMc4t/uzn8Mb6FA1fYCqlpupIf55Zxa8CVodtrIdCYP9Hxzd1SPHh7ZyalnUOb0kV57JvkS83NTDdJrE6KM3H6+995QEmMhCA0PRVEIT0sDwJRV9d5RdqoiXsZdhWDtJ3P6T5SZoKDYYmZC282kpVeLCtzw3mr/nrjkDPqNH/KV8XEWhj/CjYaFKMX5XNz4KJfo/kSnVlqUYv+nCu5cYY4GmK9eIFdBs47zVS4g9+LCHU61cVxRlwIuPaXvCoLQsDG2sX7ZcWXMmE+eBPwQL0PVOjOlamAaTUpqtgfqSjsDra6UVX/l+iUgVjmyETZ/CFs+J9x0mt46KFX1LLL0ZdjEv2NpM5Qfn1jEPZvn0ep0AdkJcczsdhUWwt3OOXvFPm4Z0tZp24wFmU6Kk6+Z0xMHtHIyNirP9/zCnbzw8077Y38UzAs1XKXvTuifan8citg6gwuCEDhsxkzJXy6UmVw/ZjJVdjMFSBwQY8YT+rrRzsAXV8rcldnVi5MoLuB6/SKu0y8m8v1s+2ZLo7Y8n9OfL8rO5wTxZLYdBsDAIxsZk7UBC/D++f2wWDxX7LWozunEr/66yyeXjCumDu9o/33GgkxmLq36R1vT2jJ14cZbWU2qvGZfKz8LglD3CW9bO8qMDaW8/EagYmbEmPGA3VcY4srMpIFpPPPDdk3KhU9VZFUVDq6BdXOI3PYlz4RZj1X1RpTOl0HfyRQ3H8jMJ352Osyck8P9m+YD8O05RnYwVtPpHNOJ562qmSEDFW0FtMQUNWTqgkEmCIJ/sbuZ/vqryj57jZkaZzJRpe+eKDPBoI4oM0aDjgFtElmZddLrWE0qTmEubP4U1s+BHGu3ZgXYbWnB/LILeej+x4lKaGodW+lbvaqqZP79duKLzWQ1gdltJ0NJtKbn8dfxM/bf/VmNV0tMUX1AjBJBELRibG3N3izLz8d86hSGRo3s+8y55cpMoh/dTLa5pZ1BEAhRZcbVTWvOzefS8dEfPR5nC4h17VZQ0e1bbo2FyfwGykqsWw2RfFFyDh+bL2Sd2hFQeCjKvbW++93/EL9hDyYDvHTeBZSUdLKf25tBsW5fnucB1aS6PY0EQRDqK7qoKAzNm2E+fARTVpazMXP8OOAnZcZmxgQ4ZiZ0UzFCAKWOKDNgVWdcdbB25NYhbXjp5x1VeidFU8SThjlEzLsMtnxqNWSadofRL1J03zamld7BOrUT3vKJUs/+hfLWbABmD2zBXsul9n1aargECl9iigLNTYNbSzaRIAghQXiaa1eT+cgRAMKaN6/5SSqlZks7g2Cg2OrM1A0fhbuO2VDRFmDm0iwslVKmCwnnKfNkflAHQ58b4Nbf4I5lcO6tEFG1YFKhyUzaIz+Q9sgPdpUnrKyEhze8i9EMOzpG8VXSHTgaP9NGpnNuWqMqc/mbtY8Or7Jt0sC0kDEgpo1Md6pN88CIDvbfM6ePJHP6yGAsSxCEBoixrTWDtGT3Hvs2VVXtDSjDmtXcmFGkaF7wqUjNDn1lxhu3DGnLu8v2YtX6nO/sKjpU4D7TXZhGvwot+lYJ2nJknotaLJP3/Ze2J0ooiFLo8PwboFYtp78n50yVbbWB0aDj1iHeC8i5Uk0CYQRVrnQseMfmWvVWlFAQBO1EdO4MQPH27fZtltOnsRRaXfNhzVJqfpJK9xJRZoJBHWpn4A4dFobqNrBxzt8xqzrcu4oUylRFUy+jl3/Z7fS419lFXLHZWqPl7ANTaNvunCrHnCk2k1voe7EkfxkTWgrIVVZNwLnib3WRG7EgCKFIRFdrq5TizEz7fc7WfFLfuDG6SG093jwiykzwCYYy48qFUx2acZKp+i9YFj6V2cYXKD2xV9NxlYNlvTWpfObLxYzesYelLXrxbp9z6HPV/S7HPfLFZk3nr4w/jAkbGaO7OBkrldsRQNXy/qFc4VcQBKEmhLdrhxIWhuXMGbsRU1Jed8ZY3u7AXwS6nYF8TfSEvo4pM2WlXKxbw3X6xVyg24S+3BQ+pcZgadEfsr1P4dht2WS2MHuFp6q4Kt9sM/N13zvtW758epHLYN/1+/M0PglnfDUmvKUnVy4gJwiC0FBRwsII79SJ4q1bKc7MxJiaiikrGwBjmzQ/ncRZDi+1BKadgXzt9EBF0bwQj5nJzYJfpxP5Rk/+a3yZYfqN6BWVlWVduM90NwNK3qD/dQ9rctnM+HEHMxZYa8t4r8+ioCrObyGL6rotQF5RYN7AgSbKaJCgXEEQ6i0RXbsCULRhAwCmv6wqfngb73GG2qiUmi0VgINAKCszZhPs+N5a2O6vJQBYVIVFln4sKBvAaksnjlFRI8AWBOuqpL8jKtjHFJWG4PMWBEEQ/Eb0wIHkffIJZ/5YTlOgaOs2AMLLg4NrTC11zRZjxgN2ZSaUjJkTu60GzMaPofBE+UaFT2Ov54kTwylSjW4PzRhtDfaatSzLa7b5rGVZPHKJ+1RvQRAEoe4TPWgg6PWY9u6laNs2Svdbs1Uju3Xzy/y21GxRZoKJgzGjqmrFRaltSoth+7ewbjbsW16xPbYZ9L6el/Iu4PU/C7xOU2gye1VmbFhU63tPS+Xe2uKmwa2ZvWKf03p0irUgX33seC0I3pAWFkJN0cfFEdmjB0UbNnB0+nQAwjt0QB9ftcZYtbC3M7B+cAcqNVuMGU/oHOJBLBa726m2UHK2w5YPYdN8KM4D4KghjPVNehNZ2oG2rc4nqcMQ3nxro9e5TGYLUe5FG5ccyisKKUNh2sh0bhnSlkHPLbZvW//YRRgNuoCu0fGGIR2mBUGob8RdMpKiDRso3mTNOo29aIT/JhdlJvgojsZLWVntGDOms1yjX8J1+sVE/q+inktpfCtebpVO8U/bGTf/IEbzQQpZzHdJ7bCcd6f7+cp55IstvDaht09Lad04ign9U8sNBedie4pqQUXxWFyvunhSgyR1WhAEwb8kXH01uR/MpfTQIXRxcTSaMMHv57DVmRFlJhjoKowX1WLx0pmohhzeCOvnELnlM14IO209p86A0vES1D5TeOLorzR761vGbrS+I04mh1OgM3HKEKtp+qW7T1TpyeQJW1NKc3m8UFjiz/xt/V+k5MQSHanj6fSrKTX4KPVoJJTUoNpG3AaCINQ2uuhoWs/7kIIffyJ22IUYkpP9N7niHAEsykwQsBfNg8CkZxcXwNbPYd0cOLLRek4g29KUT8ou5N6HHieqcQu+3v0VBd98x6SNKqpOR/Onp5N66WV0e3YezXR/QLG20/kS+3LrkDYYDTrMJgthCau4fP+vXLfBQqlOR/LsD3j8y6M+P11v6BTreaeO6BiyxowYG4Ig1EfCUlJIvHGK/yeu5GZqEO0MnnvuORRF4f7777dvKy4u5u677yYxMZGYmBiuuuoqjh07VjsL0jsrM35BVeHgWvjmHngpHb5/wGrI6I3Q9UqK//YVF5pe4u2yyyCmKWdLzzLrj5eZ8ov1/E2mTiXhqqtQFAXVlMzh4nHodMXWef2AAtx+fht75tPiA7/St/grJpef/70ulxLWpatfzuXIwyM7sePpUfbzhgKZ00dK+wFBEIQaYWtnYL1H1XtlZs2aNcycOZMePXo4bX/ggQf44Ycf+Oyzz4iPj+eee+7hyiuvZPny5W5m8h+Kzo/KTNEp2PyZNSMpZ1vF9qSO0Gcy9JwA0YlYTGZUFtp3f7LzEwYvO0F0CRg7diTxlpsrTaxjysBOvLc822rQ+CGG5aGLrSnZv+z7hde//wfTvy5Dr8IvrfrwdbshPOrmOG+ZT572Tx6c1iDjX2pD6RE1SRCEYFH5llSv68ycOXOGiRMnMmvWLJ555hn79vz8fN59910++ugjhg0bBsD7779P586dWbVqFQMGDAjswhyMGbU6yoeqwv6VVjdS5tdgLvcHGSKgy+XQdzKkDnRrgFhUC99s/oTH11rP3WTqfc5ByeVMG5lOmF7HrD92Y7HU7JKqWCv/Nmm+jZd/fJQnPjIRWww7E1ryeq9rPBpL3mJd/B0Ls/bR4XblRG7WgiAIIUhDcjPdfffdjBkzhhEjnNPB1q1bR2lpqdP29PR0UlNTWblypdv5SkpKKCgocPqpDopOV3EhzD5cgLMnYcUb8Oa58P4o2Dzfasg06QqjXoCHdsCVM6H1II/Gwdpjf9J67UGiTGBonUpMuUHniozRXVj/6CjQndG+Tjd899cCnl+YQcbHJprkw6HoRJ4ccDMmfZjH46aNTHfbmfr289swbWToFeEzmSvch3OWZzs9FgRBEGqI3ZgprzOj1tNspvnz57N+/XrWrFlTZd/Ro0cxGo0kJCQ4bW/atClHj7oPQJ0xYwZPPfWUfxao14PZ7D1mxmKB7KVWFWbH91Bmsm4Pi4ZuV0LfKdCir09uoF/2L2L4Rut5G19zjdeifUaDDiwxgAWrn7J6LqfjR3/mma/KSMkDtWkK03rfRl6EtqypjNFduHNoe3pNt2ZOPTyyEzcPaYvRoAu5Gi0vLtzh1Ejz+YU7eeHnnUFckSAIQj3DXjTPSr10Mx04cICpU6eyaNEiIiIi/DZvRkYGDz74oP1xQUEBrVq1qtZcil6Paja7V2ZOH4ON82D9B3DKobpus15WN1K3qyEirhpntrBt22ImHgZVpxA/bpwPx+qwanrOtWGsMTXg3shRCSeP/3y0h7gS+L3zEF7qNJbSSgLeq7/u8nj2yp2pQzUWxpXLK1SqHQuCINRH6mUA8Lp168jJyaFPnz72bWVlZSxdupQ33niDhQsXYjKZyMvLc1Jnjh07RkpKitt5w8PDCQ8P98saFb3eahY4KjOWMti7GNa9D7t+ApsP0BgLPcZbjZhmPWt0Xl3EIdpvPQlAZO/e1cj7r2qwJBXl0a1gI0uaDnVh1Fj7F/z9z2+IK1FZ3G80/25xoct55q484ONafMPR1TNv1f6AnsvbOnytmiwIgiA44ORmUupn0bzhw4ezZcsWp2033ngj6enpPPzww7Rq1YqwsDB+/fVXrrrqKgB27tzJ/v37GThwYO0s0tY522yG/EOw4UPYMBfyHW7oLc+1GjBdrwBjtF9Oa4jZxTkrrTJB3IiLfD7+psGteX/5PhyFBouicN6+fZy3bw5v97ick5EJ9n3JhXncvuUbBp/YQfztd/BiTnsIgkoxY0Ems5ZVKFwv/7Lbw+jA8vHq/dx5YXu/zyvZRYIgNBwaQDuD2NhYulXqzBkdHU1iYqJ9+80338yDDz5I48aNiYuL495772XgwIGBz2Qqx5499O39kLcU1HLVICIBel5nTatu6r/aKDZVIsykYC5sSxl/EXvhUJ/nceVCyY2I55lzJ/Pgho+Ys/BZtiW1JTc8lsYlp2mdf4QWl42i6Z0vMzfLhOWH7T6f88WFO3h8bPU7rc5YkOmxEeaLC3dwVwCMC3fsP1VYa+cSBEGol9jF/QbeaPLll19Gp9Nx1VVXUVJSwsiRI3nrrbcCf+JT2bB+LpScAhTUrD8gwQKtz7OqMJ3HQlikX0/pqEqcLRjGPwcPo3FxPtdsKyQjzQ8nKJf7/tP7b3zVdihNivIwWMo4Ft2Y7LgUNj8xBqPRwL51W6s1/ewV+3hkVPUMO5PZ4qTIuJv/vuEd7Y8DXdCufXJMQOcXBEGo7ygNtdHkkiVLnB5HRETw5ptv8uabbwb+5GYT7FwA6+dYY2JQUWgK6KHHBLhsKiR1CMip3akSueFxzFyWBQr+q46rKGQltCAroYXL3a0bR1VrWotqrVEzoX+qz8d+vHq/1+Bbi2odVxOijAZ2PTOK9Md+9Frgb9LAtBqdSxAEocFjy2ZSA6vMhGaaSW1zci8sehxe7gKfTYa9vwEqtB0K0YkAqOfcETBDxqMqUf5GmLUsq9ZqoEwamFalVoxW9uVWzzWj1aXjD9eP0aDj1iFtPI6x9aYSBEEQakClkiKBUmYa7qd1abG1vcDsS+H1PrD8VTh7HGKawpCH4L6NcMM3KBHlroaywNVImbsyW5MqMXdldsDW4IiWm707qqvqpDbSdpzWcd7IGN3FY4G/UOoRJQiCUF8IVJ2ZhmfM5OyAnzLgP+nw5S2QvQwUHXS4GK6dBw9sg+GPQ2PrzdwWAOy3RpMu0KpmVFf1cMWKRy70uN/dzd4TNXHNTOif6vVcOoVqubDckTG6C+sfq8gUC8Vml4IgCHUaR2VGVRtuALBfKS2Gdy+CkvL2BnEtoc8k6H09xLd0fYxjanaA0KpmVFf1cMVnaw96HVO5mq83pgxqjdGgw2zy3fCzqUGespkC4fqpKwX+BEEQ6iQOxoxCPW5nUKuERVi7UxccsqZUtx8OuqqNGx2xp2YHUJmZNDCNZxds92tA6k2DWzN7xT63c2qt3+Lq5u6u+7UvvZcyp48EoMvjFR3CbYrIrGVZTvPrFKshY9svNVoEQRDqIKq4mfzHqOfhunnQ8WKvhgzgoMwE5gJA5RgV19aHr6rEtJHp/PGwZ1dSdbnuHNcq1osLd9R4bnH9CIIg1B+USsqMBAD7Cx8aPYKDMhPAAGBwiFHRFTttdxeQqqXbs79dJpnTR3L7+W346E/XLqr3lu9jxoLMGp9HXD+CIAj1BEdjJoDKTMNyM1UHQ7kyUxb4tOiM0V0o3P8s3T7MZ19sIrH/eMzecdqRyiX/bd2epwxqHdD1aSlsN2tZFncOrb0qvYIgCEIIU0lAkJiZIKHobMZMYJUZG4bsffQ4cRKzwcQVLlQJd8X1LKrrFgb+pKaF7Vz1JJL4F0EQhHpMJWVGiuYFiQo3U+CVmZKyEmIPngIgO7ZqdV4tykh1eWxMZ6/tAWqzsJ0gCIJQ/5CYmWChrz1lZn/Bflodt0ofWTFV66loKa5XHbRmStV2YTtBEAShjlMpANiiWrCo/hcHxJjxQm2kZtvIyvuL1ByrtbIvrlmV/VqL5t0wsLVPTRht9WG8EYzCdoIgCEJdxrFonvW/QKgzYsx4wxD41GwbRw7uIK4ILMD+2KZV9tekuN6kga3cGiJa68No7WmUEGUk+7kxZD83JuCdrQVBEITQxTH+1/ZrIDKaxJjxgi0AONCp2QCFO611Wo7ERVFiMFbZr6UBpDuX0dThHZ3qt1SXjNFduGlw1awp6WkkCIIgVKFSADAEJghYjBlv1GJqtpplzQI6EN/I5X5fuz07qiJRRoPf6rVUVnKksJ0gCILgEhe13QLhZhIfgBdqMzXbcPgEAIdikt2O0VryvzaRwnaCIAiCS2pJmRFjxguKIbCp2YUmc3l/Igv/yjkDwKHI5h6PqdwA8uGRnVwW1/NG5vSREtMiCIIg1AoGxQCUSQBwUKglZUYxFNA012owHYp008HbASn5LwiCIIQ8DsqMvvx+KjEzQaCiaF5gs5kMhhM0ybf+fji6SUDPJQiCIAi1gqMxU25yiDITDGopALiJ6RAGC5gNCicj4wJ6LkEQBEGoDRzDfw2K9X4qRfOCQG2lZrc4exSAM8kxqIpcFkEQBKEe4KjMlN/bpM5MMKglZab52ZMAmJolBvQ8giAIglBrOLmZrPdTSc0OArWVmt38tDVgRm3pOZOptnHV6bo+Ud+fnyAIQlBxMGZsbiYxZoJAoFOzbTQrOAuAsXVrOBDQUwlesFgsmEymYC9DEOotYWFh6G3JFUKDQSk3bMSYCQa1pMyk5FtvnrFpHfxmzFRWHQpN/nkOUUYDmdNHltfH8T/BVEtMJhNZWVlYaqGxqCA0ZBISEkhJSbHf4IR6isP1DVMMoAYmZkaMGS/YlZmANpo0kVxgvXk279id7DHdAnguwR2qqnLkyBH0ej2tWrVCp5OQMkHwN6qqUlhYSE5ODgDNmjUL8oqEgOJgzOjKw3QDkc0kxow3yqVQNYDf1OMtxwgvF00SUjsE7DyVmbM8u1qVg+srZrOZwsJCmjdvTlSUtg7lgiD4TmRkJAA5OTk0adJEXE71GKVyNpMqdWaCQm2kZjctOQxAQawefXh4wM7z4sIdTo+fX7iT9Md+ZMaCzICdsy5RVl4Y0Wis2rFcEAT/YvvCUFpaGuSVCLWFwZbNJKnZQaAWUrOblBwD4EyjiICdY8aCTN5bvq/KdosKM5dmiUHjgPjwBSHwyN9ZA6L8Wttc96LMBIHaSM1uUpQLQHFSbEDmN5ktzFqW5XHMrGVZmMwS9CoIgiD4mXJjxhDAOjNizHihNlKzkwsLADAnNw7I/HNXZmNRPY+xqNZxghBqTJkyhcsvv1zT2KFDh3L//ffbH6elpfHKK68EZF2CIGjEpswoEgAcPPTWlyigyszZM9ZfUpIDMv++3EK/jhOEusKaNWuIjo4O9jIEQSCw7QzEmPGCoi8XrwKYmp18pgiAsGaBqf7burG2zByt4wTBV0wmU1ACq5OTA/MFQRAEHyhXZgLZzkDcTN6ohdTspDMlAES2SA3I/JMGpqHzEmunU6zjtGIrbJf93BiijGITB5OhQ4dy7733cv/999OoUSOaNm3KrFmzOHv2LDfeeCOxsbG0b9+eH3/8EYDZs2eTkJDgNMfXX3+tOSDzySefpFevXsycOZNWrVoRFRXF+PHjyc/Pt4+xuYaeffZZmjdvTqdOnQA4cOAA48ePJyEhgcaNGzNu3Diys7Ptx5WVlfHggw+SkJBAYmIi//jHP1BVLz5SD1R2MymKwv/+9z+uuOIKoqKi6NChA99++2215xcEQQM2YyaAFYDFmPGCog9sanbJ2SIORLVhSYteLCtIDkgQrtGg49YhbTyOuXVIG6k3UxlVBdPZ4Pz4eAOfM2cOSUlJ/Pnnn9x7773ceeedXHPNNQwaNIj169dz8cUXM2nSJAoL/eNK3LNnD59++infffcdP/30Exs2bOCuu+5yGvPrr7+yc+dOFi1axPfff09paSkjR44kNjaWZcuWsXz5cmJiYrjkkkvs7SNeeuklZs+ezXvvvccff/xBbm4uX331lV/WbOOpp55i/PjxbN68mdGjRzNx4kRyc3P9eg5BECqwfU0ylDuDxM0UDPSBS82esSCTd5fuxXzendYNa2D22h+5dUgbMkZ38XisryX/bfPNWpblFAysU9B0vgZJaSH8K0iNP/95GIzaYz169uzJo48+CkBGRgbPPfccSUlJ3HrrrQA8/vjjvP3222zevNkvyysuLuaDDz6gRYsWALz++uuMGTOGl156iZSUFACio6P53//+Z3cvffjhh1gsFv73v//ZVaD333+fhIQElixZwsUXX8wrr7xCRkYGV155JQDvvPMOCxf6t23GlClTmDBhAgD/+te/eO211/jzzz+55JJL/HoeQRDKsQUAI72ZgkagUrNnLMhk5tIsUJUKs5WKui+AZgOj0GS290nKnD7SrdsnY3QX7hzanl7TFwHw8MhOUgG4ntCjRw/773q9nsTERLp3727f1rRpUwB7CfmakpqaajdkAAYOHIjFYmHnzp12Y6Z79+5OcTKbNm1iz549xMY6lyAoLi5m79695Ofnc+TIEfr372/fZzAY6NevX41cTZVxfK2io6OJi4vz2+siCIILbG4mnXTNDhqB6M3kVPfFTZzCrGVZPHRxut8NDcf5Jg9OE0PGE2FRVoUkWOf2ZXhYmNNjRVGcttmUEIvFgk6nq2IcBKIKa+UsojNnztC3b1/mzZtXZWxtBuq6eq2ksaggBBB7ALCkZgcPW2q2H318vtR9uXlIW7+dV/ARRfHJ1VNXSE5O5vTp05w9e9ZucGzcuNGnOfbv38/hw4dp3tzqhlu1ahU6nc4e6OuKPn368Mknn9CkSRPi4uJcjmnWrBmrV6/m/PPPB6z9statW0efPn18Wp8gCKGHrc6MBAAHgUCkZkvdFyGY9O/fn6ioKP75z3+yd+9ePvroI2bPnu3THBEREUyePJlNmzaxbNky7rvvPsaPH293Mbli4sSJJCUlMW7cOJYtW0ZWVhZLlizhvvvu4+DBgwBMnTqV5557jq+//podO3Zw1113kZeXV4NnKwhC0LFVAFakN1PwCEBqttR9EYJJ48aN+fDDD1mwYAHdu3fn448/5sknn/Rpjvbt23PllVcyevRoLr74Ynr06MFbb73l8ZioqCiWLl1KamoqV155JZ07d+bmm2+muLjYrtQ89NBDTJo0icmTJzNw4EBiY2O54oorqvtUBUEIBewBwIFTZsTN5AV7arbZfwHAkwam8eyC7R5dTb7WfREaLkuWLKmyzbF2iw3HOJnLL7+8SosAW+aTVu68807uvPNOl/vcKT0pKSnMmTPH7ZwGg4FXXnml2i0IKr8WlV8HV4HEovwIQmBRAJWKmJl6qcy8/fbb9OjRg7i4OOLi4hg4cKC9uBfA0aNHmTRpEikpKURHR9OnTx+++OKL2ltgAJQZp7ovbrI0pO6LIAiCUC+wF82rxwHALVu25LnnnqNDhw6oqsqcOXMYN24cGzZsoGvXrtxwww3k5eXx7bffkpSUxEcffcT48eNZu3YtvXv3Dvj6FH1gUrMzRncBFT7/eQMnIxPs26XuixBsunbtyr59+1zumzlzZi2vpoL9+/fTpYv7v4vMzExSUwNTRVsQhBpQyZgxq/4vQht0Y2bs2LFOj5999lnefvttVq1aRdeuXVmxYgVvv/025557LgCPPvooL7/8MuvWratVYyYQvZn+PqgZYx+6mm1JbXl02CgevHCk1H0Rgs6CBQvcpmo3bdqU2NhYn2Ns/EHz5s09Zl3ZMqsEQQgx7DEz1vtpvVRmHCkrK+Ozzz7j7NmzDBw4EIBBgwbxySefMGbMGBISEvj0008pLi5m6NChbucpKSmhpKTE/rigoKD6iwpAarYNc85x9Kiknd2LRa9K3RchJGjdunWwl+ASg8FA+/btg70MQRB8xWbMBLA3U0gYM1u2bGHgwIEUFxcTExPDV199ZZeTP/30U6699loSExMxGAxERUXx1VdfefxQmzFjBk899ZRf1hbIrtnm8qqjubGglknmkiAIglB/qdcBwACdOnVi48aNrF69mjvvvJPJkyeTmZkJwGOPPUZeXh6//PILa9eu5cEHH2T8+PFs2bLF7XwZGRnk5+fbfw4cOFD9xQWwa3ZpzjEA8qIVMWYEQRCE+kmldgb11s1kNBrtSkvfvn1Zs2YNr776Kv/4xz9444032Lp1K127dgWsDfWWLVvGm2++yTvvvONyvvDwcMLDw/2ytkCkZts4e8RqZJ2KBdUS6ff5BUEQBCFUsNWZCUQAcEgoM5WxWCyUlJRQWGitgKvTOS9Tr9fXXi+VACozxceOAJAbrQc1JOxKQRAEQfArtg6E9t5MAbifBv0OmpGRwahRo0hNTeX06dN89NFHLFmyhIULF5Kenk779u25/fbbefHFF0lMTOTrr79m0aJFfP/997WyPsVQHgDs59RsANOxoyhAbpR/VCRBEARBCDnsAcD1uDdTTk4ON9xwA506dWL48OGsWbOGhQsXctFFFxEWFsaCBQtITk5m7Nix9OjRgw8++IA5c+YwevToWlmfogtcAHDZ8RMA5EZF+H1uQagvTJkypUq14kAye/ZsEhISau18gtBQ0AfQmAm6MvPuu+963N+hQ4farfhbGXtqtv9lMTU3D4BTEVHguqyHIAiCINRtKvVmCkQAcNCVmVCnIjU7AAFLeacByAuP8fvcghBKmEymYC9BEIRgYa8AbI1BNVsaSABwSBEgZcZSWIi+xCrH5IXH+XVuoWExdOhQ7r33Xu6//34aNWpE06ZNmTVrFmfPnuXGG28kNjaW9u3b23ueuXKjfP311yiK4mL2qjz55JP06tWLmTNn0qpVK6Kiohg/fjz5+fn2MTbX0LPPPkvz5s3p1KkTAAcOHGD8+PEkJCTQuHFjxo0b59QMsqysjAcffJCEhAQSExP5xz/+4bI5pKfX4p577uGee+4hPj6epKQkHnvsMac5Tp06xQ033ECjRo2Iiopi1KhR7N692+V82dnZ6HQ61q5d67T9lVdeoXXr1rWXiCAI9YBA9mYSY8YLgVJmzLm5AJQYoEiJrtFcJnPFG2PO8mynx5WJMhrIfm4M2c+NIcoYdC9jSKOqKoWlhUH58eUGDvD/7d15VFNn+gfwb0gIEImAIigWxRUREUY7YrAt2iq41IKcEY8LYItb3XCt2FahtS4/x1qtVXS0BbSC21RqNRUdR0akLAOi1YqIiKWdYm1dWGVJ8v7+AK6GRRO8SQg8n3Ny2tzc++bJK0mevGtsbCxsbW2RkZGBRYsW4d1338XkyZPh5eWFS5cuwcfHB0FBQdwMwRd169YtHDlyBN999x1Onz6N7OxszJ8/X+2cc+fOITc3lxuwX1NTA19fX0ilUiQnJyMlJQWWlpYYO3Ys13Lz6aefIiYmBl999RUuXryIBw8e4Pjx41rXhUgkQkZGBrZv346tW7di37593OMzZ85EZmYmTpw4gdTUVDDGMH78+Ca3cHBycsLo0aMRHR2tdjw6OhozZ85sNNOSENIErpupja8A3KpxG03yW/nKP2sH/xZ3AKBqeTKzUX4de5MLuPv/l5iLv5/Jpc0qefBY8RiecZ4Gee70aemQmGq+kKK7uzs+/PBDALUzBDdt2gRbW1vMnj0bALB27VpERUXhxx9/5CW+yspK7N+/H927dwcA7NixAxMmTMCnn36Krl27AgA6dOiAffv2QSwWAwC+/vprqFQq7Nu3j2sFio6OhrW1NZKSkuDj44Nt27Zh9erVCAgIAADs3r0biYmJWsXm6OiIzz77DAKBAM7Ozrh69So+++wzzJ49G3l5eThx4gRSUlLg5eUFADh48CAcHR2RkJCAyZMnNypv1qxZmDdvHrZu3QozMzNcunQJV69exbffftuyyiOkvWkPs5lau/qp2VCptP61/Cz1LTMlkpYvmLdRfh17LhRA1SAsFQP2XCjARvn1Fw2TGInBgwdz/y8UCtG5c2e4ublxx+zt7QHUzh7kQ48ePbhEBgBkMhlUKhVyc3O5Y25ublwiAwBXrlzBrVu3IJVKYWlpCUtLS3Tq1AmVlZXIz89HcXExioqK4On5JIEUiUR4+eWXtYpt+PDhal1mMpkMeXl5UCqVyMnJgUgkUnuOzp07w9nZGTk5OU2W5+/vD6FQyLUQxcTEYNSoUXByctIqLkLaO11uZ0AtM88heLoZWakERPxUmeL+fQBAsaRlWxlUK1RqLTJN2ZtcgOU+A2jzyhayEFkgfVq6wZ5bG6ampmr3BQKB2rH6L3eVSgUTE5NGiXlzu2S/iA4d1Fscy8rKMHToUBw8eLDRuV26dOH9+fkiFosRHByM6OhoBAQEIC4uDtu3bzd0WIQYj7rfFrpsmaFk5nmeSl6YSgXNhkg+n/J+XctMB4AptW+ZOZB6p1GLTEMqVnte6Ku9WxJiuycQCLTq6jEWXbp0QWlpKcrLy7mE4/Lly1qVUVhYiN9++w0ODg4AgLS0NJiYmHADfZsyZMgQHD58GHZ2dujYselB7926dUN6ejpee+01AIBCoUBWVhaGDBmicWzp6eoJaFpaGvr16wehUAgXFxcoFAqkp6dz3Uz3799Hbm4ut7ltU2bNmoVBgwZh165dUCgUXDcYIeT5BFCfzUQDgA1ArWWGx0HAigf1LTMt2zH75weaDeTU9DzSfnh6ekIikeD9999Hfn4+4uLiEBMTo1UZ5ubmCAkJwZUrV5CcnIzFixcjMDCQGy/TlOnTp8PW1hZ+fn5ITk5GQUEBkpKSsHjxYvz6668AgLCwMGzatAkJCQm4ceMG5s+fj0ePHmkVW2FhIZYtW4bc3FzEx8djx44dCAsLA1C7bpWfnx9mz56Nixcv4sqVK5gxYwa6d+8OPz+/Zst0cXHB8OHDsWrVKkydOhUWFrSXGiHaMmnru2a3ag1aZvhS3zJT3MIds3t20uwaTc8j7UenTp3w9ddfQy6Xw83NDfHx8YiMjNSqjL59+yIgIADjx4+Hj48PBg8ejF27dj3zGolEggsXLqBHjx4ICAiAi4sLQkNDUVlZybXULF++HEFBQQgJCYFMJoNUKsWkSZO0ii04OBiPHz/GsGHDsGDBAoSFhWHOnDnc49HR0Rg6dCjefPNNyGQyMMYgl8sbddU1FBoaiurqarzzzjtaxUNIu6eH2UwCxueo1laqpKQEVlZWKC4ubrZ5uzlMqcQN10EAgH6pP0BkY8NLTLdDQlCVnoHPJ5pg68ZMrcdIVCtUGLDm+2d2NZkIgBvrxtGYGQ1VVlaioKAAvXr1grk5bTHRnMjISCQkJGjdNaUPI0eOhIeHB7Zt28Z72evWrcPRo0d5mxHW3tH7rf3I8x4Jxe+/o/DzxVhRtAteDl7YM2aPRtdq+v1N33LP83Q3E48tMzX3/wAAVFiawlyo/RtZLDLB7Fd7PfOc2a/2okSGkBdUVlaGa9eu4YsvvsCiRYsMHQ4hRovrZqIBwPonEAhqu5oUCjAex8yoHjys/a+NVOOVVxuqX0dmb7L69GwTAWidGdJirq6u+Pnnn5t8bM8ezX5N6UJhYeEzB+lev66bpQgWLlyI+Ph4+Pv7UxcTIS3BbWdAU7MNSiAS1SYyPCUzTKUCe1QMAQCBjfULlbV6/EC8O7IvPD4+CwBY5euM0Fd7U4sMaTG5XN7sVG17e3tIpVKtx9jwwcHB4ZldWw4ODkhKSuL9eWNiYrQeIE0IacxEh9sZUDKjAYFQCAbw1jKjLC6GoK4pxcTG6oXLezpxCRnhRIkMeSE9e/Y0dAhNEolE6Nu3r6HDIIRoSw8DgOlbTwP1qwDztaVB/VYGpeaAxJw2mSSEENKG1S+ah9p1ZmhqtqHUJzM1/LTMKLhp2YCl2JKXMgkhhJDWTKjDAcCUzGiA259JyVM3U92CeSUSwNKUkhlCCCFtV/0KwCYC6mYyKEH9ztk8jZlRPLVgHrXMEEIIadO4XbNpOwPDMq3rZuIrmXmqZUZqKuWlTEIIIaQ1owHABiYQ8pvMcFsZSAToYNrhOWcT0r7NnDkT/v7+enu+mJgYWFtb81JWUlISBAKB1vtLGbv2+rpJM/SwzgwlMxrgxszw3DJT3AGQiqllhpC2ysvLC0VFRbCyevElGAgxWlw3Ew0ANixR3ZgZvqZm17XMlEhALTOkXaiurjZ0CAYhFovRtWvXFq/y/SKaW/iQEEOhbiYDE4hqd9Pla2q28mHtVgYlEgG1zJAXNnLkSCxatAhLliyBjY0N7O3tsXfvXpSXl+Ptt9+GVCpF37598f333wNouhslISFB4y/cyMhIeHh4YM+ePXB0dIREIkFgYCCKi4u5c+q7htavXw8HBwc4OzsDAH755RcEBgbC2toanTp1gp+fH+7cucNdp1QqsWzZMlhbW6Nz58547733oM1euCNHjsTChQuxcOFCWFlZwdbWFmvWrFEr4+HDhwgODoaNjQ0kEgnGjRuHvLy8Jsu7c+cOTExMkJmZqXZ827Zt6NmzJ1TP2a+tYXdLfd2fPHkSzs7OkEgk+Nvf/oaKigrExsbCyckJNjY2WLx4MZRP/XhycnLCunXrMHXqVHTo0AHdu3fHzp071Z5LIBAgKioKb731Fjp06ID169cDAKKiotCnTx+IxWI4OzvjwIED3DXTpk3DlClT1MqpqamBra0t9u/fDwBQqVTYuHEjevXqBQsLC7i7u+PYsWNq18jlcvTv3x8WFhYYNWqU2r8pIVw3U13K8bz3TUtQMqOBJ4vm8ZvMlFrQ1OzWjDEGVUWFQW7abmYfGxsLW1tbZGRkYNGiRXj33XcxefJkeHl54dKlS/Dx8UFQUBAqKip4qZtbt27hyJEj+O6773D69GlkZ2dj/vz5auecO3cOubm5OHv2LE6ePImamhr4+vpCKpUiOTkZKSkpsLS0xNixY7mWm08//RQxMTH46quvcPHiRTx48ADHjx/Xui5EIhEyMjKwfft2bN26Ffv27eMenzlzJjIzM3HixAmkpqaCMYbx48c32ZLh5OSE0aNHIzo6Wu14dHQ0Zs6cCRMT7T9CKyoq8Pnnn+PQoUM4ffo0kpKSMGnSJMjlcsjlchw4cAB79uxplDD8/e9/h7u7O7KzsxEeHo6wsDCcPXtW7ZzIyEhMmjQJV69exTvvvIPjx48jLCwMy5cvx7Vr1zB37ly8/fbbOH/+PABg+vTp+O6771BWVsaVkZiYiIqKCkyaNAkAsHHjRuzfvx+7d+/GTz/9hKVLl2LGjBn4z3/+A6A2QQ0ICMDEiRNx+fJlzJo1C+Hh4VrXC2nD6n4nCeq6mRSMv30OOawdKC4uZgBYcXFxi66/MyOIXXcewIrl8heORaVQsOsDXNh15wFsxBeurLC48IXLLK+qYT1XnWQ9V51k5VU1L1xee/X48WN2/fp19vjxY8YYY8rycnbdeYBBbsryco3j9vb2Zq+88gp3X6FQsA4dOrCgoCDuWFFREQPAUlNTWXR0NLOyslIr4/jx40zTj4OIiAgmFArZr7/+yh37/vvvmYmJCSsqKmKMMRYSEsLs7e1ZVVUVd86BAweYs7MzU6lU3LGqqipmYWHBEhMTGWOMdevWjW3evJl7vKamhr300kvMz89Po9i8vb2Zi4uL2nOsWrWKubi4MMYYu3nzJgPAUlJSuMf//PNPZmFhwY4cOcIYY43q5/Dhw8zGxoZVVlYyxhjLyspiAoGAFRQUPDee8+fPMwDs4cOHXNkA2K1bt7hz5s6dyyQSCSstLeWO+fr6srlz53L3e/bsycaOHatW9pQpU9i4ceO4+wDYkiVL1M7x8vJis2fPVjs2efJkNn78eMZYbf3a2tqy/fv3c49PnTqVTZkyhTHGWGVlJZNIJOyHH35QKyM0NJRNnTqVMcbY6tWr2cCBA9UeX7VqldrrbkrD9xtpu/J8fNh15wHsZtIJNihmEHsl/pXnX1RH0+9vapnRgICbmv3i/XzKkhKg7ld3mQWtAEz4MXjwYO7/hUIhOnfuDDc3N+6Yvb09AODevXu8PF+PHj3QvXt37r5MJoNKpUJubi53zM3NDWKxmLt/5coV3Lp1C1KpFJaWlrC0tESnTp1QWVmJ/Px8FBcXo6ioCJ6entw1IpEIL7/8slaxDR8+XK3LTCaTIS8vD0qlEjk5ORCJRGrP0blzZzg7OyMnJ6fJ8vz9/SEUCrkWopiYGIwaNQpOTk5axVVPIpGgT58+3H17e3s4OTnB0tJS7VjDfyuZTNbofsOYG9ZVTk4ORowYoXZsxIgR3HUikQiBgYE4ePAgAKC8vBzffvstpk+fDqC2Ba6iogJjxozh/s0sLS2xf/9+5Ofnc8/xdH02FStp37hF83Q4ZoY2mtQEj1OzlXV95xViQCkUUDdTKyawsIDzpSyDPbc2TE1N1a8XCNSO1X+5q1QqmJiYNOrG0sVg0Q4d1Ae3l5WVYejQodwX59O6dOnC+/PzRSwWIzg4GNHR0QgICEBcXBy2b9/e4vKe929Vf6wl4woa1rkmpk+fDm9vb9y7dw9nz56FhYUFxo4dCwBc99OpU6fUklcAMDMz0/q5SDvVcDaTDqZmUzKjAT63M1A+fAQAKJUAZkIzmApNn30BMRiBQACBRGLoMHjXpUsXlJaWory8nPvyu3z5slZlFBYW4rfffoODgwMAIC0tDSYmJtxA36YMGTIEhw8fhp2dHTp2bHqD1W7duiE9PR2vvfYaAEChUCArKwtDhgzROLb09HS1+2lpaejXrx+EQiFcXFygUCiQnp4OLy8vAMD9+/eRm5uLgQMHNlvmrFmzMGjQIOzatQsKhQIBAQEax8OXtLS0RvddXFyeeY2LiwtSUlIQEhLCHUtJSVF7rV5eXnB0dMThw4fx/fffY/LkyVxyNXDgQJiZmaGwsBDe3t7NPseJEyeeGSshwJNkhlYANhCBiL/tDOpbZkrNaVo2MQxPT09IJBK8//77yM/PR1xcHGJiYrQqw9zcHCEhIbhy5QqSk5OxePFiBAYGomvXrs1eM336dNja2sLPzw/JyckoKChAUlISFi9ejF9//RUAEBYWhk2bNiEhIQE3btzA/PnztV54rbCwEMuWLUNubi7i4+OxY8cOhIWFAQD69esHPz8/zJ49GxcvXsSVK1cwY8YMdO/eHX5+fs2W6eLiguHDh2PVqlWYOnUqLLRsOeNDSkoKNm/ejJs3b2Lnzp04evQo97qas3LlSsTExCAqKgp5eXnYunUrvvnmG6xYsULtvGnTpmH37t04e/Ys18UEAFKpFCtWrMDSpUsRGxuL/Px8XLp0CTt27EBsbCwAYN68ecjLy8PKlSuRm5vbor8n0sY1aJnRxQBgSmY0IeJxzEzdB3OZBU3LJobRqVMnfP3115DL5XBzc0N8fDwiIyO1KqNv374ICAjA+PHj4ePjg8GDB2PXrl3PvEYikeDChQvo0aMHAgIC4OLigtDQUFRWVnItNcuXL0dQUBBCQkIgk8kglUq5WTWaCg4OxuPHjzFs2DAsWLAAYWFhmDNnDvd4dHQ0hg4dijfffBMymQyMMcjl8kZdPQ2Fhoaiuroa77zzjlbx8GX58uXIzMzEX/7yF3zyySfYunUrfH19n3mNv78/tm/fji1btsDV1RV79uxBdHQ0Ro4cqXbe9OnTcf36dXTv3r3RGJt169ZhzZo12LhxI1xcXDB27FicOnUKvXr1AlA7fuqf//wnEhIS4O7ujt27d2PDhg28vnbSNghZXXe3DlpmBKxh53kbVFJSAisrKxQXFzfbvP0s/1uxEiUnT8IufBU6z5z5QrHc/yoa9zZvRrKrAP9+ezAOvXnohcoj/KmsrERBQQF69eoFc3NzQ4fTakVGRiIhIUHrril9GDlyJDw8PLBt2zbey163bh2OHj2KH3/8kfeyn8fJyQlLlizBkiVL9P7cukLvt/Yjf/wEVN++Deu9O+BzeykA4MfgHzVa20rT729qmdHAkzEzPLTM0BozhBiVsrIyXLt2DV988QUWLVpk6HAIMT4NupkA/mc0UTKjifoxMzysAMyNmbEQ0LRs0iq5urqqTcN9+tbUTCR9KSwsbDYuS0tLFBYW6uR5Fy5ciKFDh2LkyJGNupjmzZvXbDzz5s3TSTyEGKunkxm+u5poNpMG+FwB+MmYGRoATFonuVze7FRte3t7SKVSrcfY8MHBweGZXVsODg5ISkri/XljYmKaHdD68ccfNxpMW68lXdrNoe0BiFGr600S4km3kkKlgFgobuYC7VEyowGBDtaZKbEAetMAYNIK9ezZ09AhNEkkEqFv376GDkONnZ0d7OzsDB0GIa2agOtmEnLH+G6ZoW4mDXBjZniZzVQ7ZoZaZgghhLQnTw/3pTEzhsDjOjOKp8bMSE2pZaY1agcT/AgxOHqftSf12xnQAGCDEohq15940TEzjDEoHxUDqJvNRAOAWxWhsDZprd/BmRCiO/U7uD9vfR/SBnDdTAJunya+tzSgMTMaENR9yeEFW2ZU5RVA3cDKUglNzW5tRCIRJBIJ/vjjD5iamsLEhHJ9QvjGGENFRQXu3bsHa2tr7kcEaQcYg1AghIIpeG+ZoWRGA3ztml0/XqZGJEC1qYDGzLQyAoEA3bp1Q0FBAX7++WdDh0NIm2Ztbf3M7S9IG1LXMsMYq52ezWhqtmHwNJupfpPJckntL36JadvbxNDYicVi9OvXj7qaCNEhU1NTapFpT55a6VdoIgRU/I+ZMXgyExUVhaioKG4dBVdXV6xduxbjxo3jzklNTcUHH3yA9PR0CIVCeHh4IDExUW+bvfG1a/bT+zIBgEREyUxrZGJiQsurE0II39iThfP4HgBu8EEBL730EjZt2oSsrCxkZmbi9ddfh5+fH3766ScAtYnM2LFj4ePjg4yMDPz3v//FwoUL9TqeQcDTCsBPrzEDUMsMIYSQdqC+Zaa+mwltsGVm4sSJavfXr1+PqKgopKWlwdXVFUuXLsXixYsRHh7OnePs7KzfILkVgF9wzEzdvkzF5ioAJtQyQwghpO17aoEZYd3CeW160TylUolDhw6hvLwcMpkM9+7dQ3p6Ouzs7ODl5QV7e3t4e3vj4sWLeo2LrxWAn+zLVNu8Ri0zhBBC2o823DIDAFevXoVMJkNlZSUsLS1x/PhxDBw4EGlpaQCAyMhIbNmyBR4eHti/fz/eeOMNXLt2Df369WuyvKqqKlRVVXH3i4tr13YpKSlpUXyl1dUoUyqhqihvcRkA8OjuXZQplfhDKIDyMVBdXg2lCb//oIQQQkhrUlajQJVSiZKyMrDHDMpKJUqKS1AifP73af137nPH2LBWoKqqiuXl5bHMzEwWHh7ObG1t2U8//cRSUlIYALZ69Wq1893c3Fh4eHiz5UVERDAAdKMb3ehGN7rRrQ3cfvnll2fmEQLGWt+a0qNHj0afPn0QHh6O3r1748CBA5gxYwb3+JQpUyASiXDw4MEmr2/YMvPo0SP07NkThYWFsLKy0nn8rVVJSQkcHR3xyy+/8Lqjr7GheqhF9VCL6uEJqotaVA+1WkM9MMZQWloKBweHZ078aRXdTA2pVCpUVVXByckJDg4OyM3NVXv85s2balO3GzIzM4OZmVmj41ZWVu36D7Nex44dqR5A9VCP6qEW1cMTVBe1qB5qGboeNGmEMHgys3r1aowbNw49evRAaWkp4uLikJSUhMTERAgEAqxcuRIRERFwd3eHh4cHYmNjcePGDRw7dszQoRNCCCGkFTB4MnPv3j0EBwejqKgIVlZWGDx4MBITEzFmzBgAwJIlS1BZWYmlS5fiwYMHcHd3x9mzZ9GnTx8DR04IIYSQ1sDgycyXX3753HPCw8PV1pnRlpmZGSIiIprsempPqB5qUT3UonqoRfXwBNVFLaqHWsZUD61yADAhhBBCiKZa1aJ5hBBCCCHaomSGEEIIIUaNkhlCCCGEGDVKZgghhBBi1NpMMrNz5044OTnB3Nwcnp6eyMjIeOb5R48exYABA2Bubg43NzfI5XI9Rapb2tTD3r178eqrr8LGxgY2NjYYPXr0c+vNWGj791Dv0KFDEAgE8Pf3122AeqJtPTx69AgLFixAt27dYGZmhv79+7eJ94a29bBt2zY4OzvDwsICjo6OWLp0KSorK/UUrW5cuHABEydOhIODAwQCARISEp57TVJSEoYMGQIzMzP07dsXMTExOo9T17Sth2+++QZjxoxBly5d0LFjR8hkMiQmJuonWB1qyd9DvZSUFIhEInh4eOgsPm21iWTm8OHDWLZsGSIiInDp0iW4u7vD19cX9+7da/L8H374AVOnTkVoaCiys7Ph7+8Pf39/XLt2Tc+R80vbekhKSsLUqVNx/vx5pKamwtHRET4+Pvjf//6n58j5pW091Ltz5w5WrFiBV199VU+R6pa29VBdXY0xY8bgzp07OHbsGHJzc7F37150795dz5HzS9t6iIuLQ3h4OCIiIpCTk4Mvv/wShw8fxvvvv6/nyPlVXl4Od3d37Ny5U6PzCwoKMGHCBIwaNQqXL1/GkiVLMGvWLKP/Ite2Hi5cuIAxY8ZALpcjKysLo0aNwsSJE5Gdna3jSHVL23qo9+jRIwQHB+ONN97QUWQt9KKbRLYGw4YNYwsWLODuK5VK5uDgwDZu3Njk+YGBgWzChAlqxzw9PdncuXN1GqeuaVsPDSkUCiaVSllsbKyuQtSLltSDQqFgXl5ebN++fSwkJIT5+fnpIVLd0rYeoqKiWO/evVl1dbW+QtQLbethwYIF7PXXX1c7tmzZMjZixAidxqlPANjx48efec57773HXF1d1Y5NmTKF+fr66jAy/dKkHpoycOBA9tFHH/EfkIFoUw9TpkxhH374IYuIiGDu7u46jUsbRt8yU11djaysLIwePZo7ZmJigtGjRyM1NbXJa1JTU9XOBwBfX99mzzcGLamHhioqKlBTU4NOnTrpKkyda2k9fPzxx7Czs0NoaKg+wtS5ltTDiRMnIJPJsGDBAtjb22PQoEHYsGEDlEqlvsLmXUvqwcvLC1lZWVxX1O3btyGXyzF+/Hi9xNxatMXPST6oVCqUlpYa9edkS0VHR+P27duIiIgwdCiNGHwF4Bf1559/QqlUwt7eXu24vb09bty40eQ1d+/ebfL8u3fv6ixOXWtJPTS0atUqODg4NPoAMyYtqYeLFy/iyy+/xOXLl/UQoX60pB5u376Nf//735g+fTrkcjlu3bqF+fPno6amplV+eGmiJfUwbdo0/Pnnn3jllVfAGINCocC8efOMvptJW819TpaUlODx48ewsLAwUGSGtWXLFpSVlSEwMNDQoehVXl4ewsPDkZycDJGo9aUORt8yQ/ixadMmHDp0CMePH4e5ubmhw9Gb0tJSBAUFYe/evbC1tTV0OAalUqlgZ2eHf/zjHxg6dCimTJmCDz74ALt37zZ0aHqVlJSEDRs2YNeuXbh06RK++eYbnDp1CuvWrTN0aMTA4uLi8NFHH+HIkSOws7MzdDh6o1QqMW3aNHz00Ufo37+/ocNpUutLr7Rka2sLoVCI33//Xe3477//jq5duzZ5TdeuXbU63xi0pB7qbdmyBZs2bcK//vUvDB48WJdh6py29ZCfn487d+5g4sSJ3DGVSgUAEIlEyM3NNcpNTVvy99CtWzeYmppCKBRyx1xcXHD37l1UV1dDLBbrNGZdaEk9rFmzBkFBQZg1axYAwM3NDeXl5ZgzZw4++OADmJi0j9+AzX1OduzYsV22yhw6dAizZs3C0aNHjbr1uiVKS0uRmZmJ7OxsLFy4EEDt5yRjDCKRCGfOnMHrr79u0BiN/l0pFosxdOhQnDt3jjumUqlw7tw5yGSyJq+RyWRq5wPA2bNnmz3fGLSkHgBg8+bNWLduHU6fPo2XX35ZH6HqlLb1MGDAAFy9ehWXL1/mbm+99RY3g8PR0VGf4fOmJX8PI0aMwK1bt7hkDgBu3ryJbt26GWUiA7SsHioqKholLPUJHmtHW9m1xc/JloqPj8fbb7+N+Ph4TJgwwdDh6F3Hjh0bfU7OmzcPzs7OuHz5Mjw9PQ0dYtuYzXTo0CFmZmbGYmJi2PXr19mcOXOYtbU1u3v3LmOMsaCgIBYeHs6dn5KSwkQiEduyZQvLyclhERERzNTUlF29etVQL4EX2tbDpk2bmFgsZseOHWNFRUXcrbS01FAvgRfa1kNDbWU2k7b1UFhYyKRSKVu4cCHLzc1lJ0+eZHZ2duyTTz4x1Evghbb1EBERwaRSKYuPj2e3b99mZ86cYX369GGBgYGGegm8KC0tZdnZ2Sw7O5sBYFu3bmXZ2dns559/ZowxFh4ezoKCgrjzb9++zSQSCVu5ciXLyclhO3fuZEKhkJ0+fdpQL4EX2tbDwYMHmUgkYjt37lT7nHz06JGhXgIvtK2HhlrbbKY2kcwwxtiOHTtYjx49mFgsZsOGDWNpaWncY97e3iwkJETt/CNHjrD+/fszsVjMXF1d2alTp/QcsW5oUw89e/ZkABrdIiIi9B84z7T9e3haW0lmGNO+Hn744Qfm6enJzMzMWO/evdn69euZQqHQc9T806YeampqWGRkJOvTpw8zNzdnjo6ObP78+ezhw4f6D5xH58+fb/L9Xv/aQ0JCmLe3d6NrPDw8mFgsZr1792bR0dF6j5tv2taDt7f3M883Vi35e3haa0tmBIy1o3ZTQgghhLQ5Rj9mhhBCCCHtGyUzhBBCCDFqlMwQQgghxKhRMkMIIYQQo0bJDCGEEEKMGiUzhBBCCDFqlMwQQgghxKhRMkMIIYQQo0bJDCGEEEKMGiUzhBBCCDFqlMwQQozShg0bIBAIGt22bdtm6NAIIXpGezMRQoxSaWkpysvLuftr167FmTNncPHiRbz00ksGjIwQom8iQwdACCEtIZVKIZVKAQBr1qzBmTNnkJSURIkMIe0QdTMRQoza2rVrceDAASQlJcHJycnQ4RBCDICSGUKI0YqIiMD+/fspkSGknaNkhhBilCIiIhAbG0uJDCGExswQQozPJ598gqioKJw4cQLm5ua4e/cuAMDGxgZmZmYGjo4Qom80m4kQYlQYY7C2tkZJSUmjxzIyMvDXv/7VAFERQgyJkhlCCCGEGDUaM0MIIYQQo0bJDCGEEEKMGiUzhBBCCDFqlMwQQgghxKhRMkMIIYQQo0bJDCGEEEKMGiUzhBBCCDFqlMwQQgghxKhRMkMIIYQQo0bJDCGEEEKMGiUzhBBCCDFqlMwQQgghxKj9PyaFDyZWJbmOAAAAAElFTkSuQmCC",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"# YOUR CODE HERE\n",
|
|
"plot_dist_mod()\n",
|
|
"plt.plot(z, mu_pred_lin, label=\"mu_pred_lin\")\n",
|
|
"plt.plot(z, mu_pred_poly, label=\"mu_pred_poly\")\n",
|
|
"plt.plot(z, mu_pred_poly_improved, label=\"mu_pred_poly_improved\")\n",
|
|
"plt.legend()\n",
|
|
"#raise NotImplementedError()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "180a54403a99d155688f8a290fc1015b",
|
|
"grade": false,
|
|
"grade_id": "cell-62604dceb287f6e4",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"*Compute the RMS error between your predictions and the data samples.*"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 22,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "6e268ea0e1117f31d0a367335c3ab18a",
|
|
"grade": false,
|
|
"grade_id": "cell-2ee5e0675e003f12",
|
|
"locked": false,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"# Define a general function to compute the RMS error\n",
|
|
"def compute_rms(mu_1, mu_2):\n",
|
|
" # YOUR CODE HERE\n",
|
|
" return np.sqrt(np.mean([(x[0]-x[1])**2 for x in zip(mu_1, mu_2)]))\n",
|
|
" #raise NotImplementedError()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 23,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "6f8072de8469e1f06df363cc72011cc8",
|
|
"grade": true,
|
|
"grade_id": "cell-946369d338039825",
|
|
"locked": true,
|
|
"points": 1,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"assert np.isclose(compute_rms(mu_pred_lin, mu_pred_lin), 0.0)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 24,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "7621e2e41683215f9f485a1161168a5c",
|
|
"grade": false,
|
|
"grade_id": "cell-9c52009b6ad3fd17",
|
|
"locked": false,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"# Compute the RMS error between the data and the predictions for each model.\n",
|
|
"# Use variables rms_sample_lin, rms_sample_poly and rms_sample_poly_improved.\n",
|
|
"# YOUR CODE HERE\n",
|
|
"\n",
|
|
"# Generate a new array based on the x positions of the sample data\n",
|
|
"mu_sample_pred_lin = np.interp(z_sample, z, mu_pred_lin)\n",
|
|
"mu_sample_pred_poly = np.interp(z_sample, z, mu_pred_poly)\n",
|
|
"mu_sample_pred_poly_improved = np.interp(z_sample, z, mu_pred_poly_improved)\n",
|
|
"\n",
|
|
"rms_sample_lin = compute_rms(mu_sample, mu_sample_pred_lin)\n",
|
|
"rms_sample_poly = compute_rms(mu_sample, mu_sample_pred_poly)\n",
|
|
"rms_sample_poly_improved = compute_rms(mu_sample, mu_sample_pred_poly_improved)\n",
|
|
"#raise NotImplementedError()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 25,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "f309e5fc58b77e4cda8bc8f3ee78ce1d",
|
|
"grade": false,
|
|
"grade_id": "cell-579ae5f1089bfb46",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"rms_sample_lin = 1.0084\n",
|
|
"rms_sample_poly = 0.8855\n",
|
|
"rms_sample_poly_improved = 0.8771\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# Print RMS values computed.\n",
|
|
"print(\"rms_sample_lin = {0:.4f}\".format(rms_sample_lin))\n",
|
|
"print(\"rms_sample_poly = {0:.4f}\".format(rms_sample_poly))\n",
|
|
"print(\"rms_sample_poly_improved = {0:.4f}\".format(rms_sample_poly_improved))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 26,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "7d71e55b0de3ea49b8e285df5a75e860",
|
|
"grade": true,
|
|
"grade_id": "cell-09beb7cceccb40be",
|
|
"locked": true,
|
|
"points": 1,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"rms_sample_lin defined.\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"check_var_defined('rms_sample_lin')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 27,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "3c12f33d96207e0b339d5a7d7e28146a",
|
|
"grade": true,
|
|
"grade_id": "cell-6000d96ec4b0de43",
|
|
"locked": true,
|
|
"points": 1,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"rms_sample_poly defined.\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"check_var_defined('rms_sample_poly')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 28,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "c61d68d34d7d1760459d619d00f2a03c",
|
|
"grade": true,
|
|
"grade_id": "cell-06d3a7838b6ad7e7",
|
|
"locked": true,
|
|
"points": 1,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"rms_sample_poly_improved defined.\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"check_var_defined('rms_sample_poly_improved')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "d2cfab16a3b881eb9666957d282df2eb",
|
|
"grade": false,
|
|
"grade_id": "cell-a4632d53a04563a6",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"*Comment on what models you believe are best.*"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "65df151fe8f001ee61ec5607e15a0b3d",
|
|
"grade": true,
|
|
"grade_id": "cell-d34e017b234e387c",
|
|
"locked": false,
|
|
"points": 2,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"source": [
|
|
"Despite the better RMSE on the training data I believe the linear model is best, as the polynomial models are overfitted. Slight changes to the RMSE can be achieved by changing the degree of the polynomial and the regularization parameter, but this would not transfer well to new data, particularly when extrapolating beyond the given dataset."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "92e241c8e04b9942db80a362a82b6429",
|
|
"grade": false,
|
|
"grade_id": "cell-d9ef9bfe07f359d0",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"Using our cosmological concordance model we can predict the theoretical distance modulus vs redshift relationship using our understanding of the physics."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 29,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "9df4b3203c1281eb061f9a3d159457f7",
|
|
"grade": false,
|
|
"grade_id": "cell-19fd3ac1f2d371eb",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stderr",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"WARNING: AstroMLDeprecationWarning: The Cosmology class is deprecated and may be removed in a future version.\n",
|
|
" Use astropy.cosmology instead. [warnings]\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"from astroML.cosmology import Cosmology\n",
|
|
"cosmo = Cosmology()\n",
|
|
"mu_cosmo = np.array(list(map(cosmo.mu, z)))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "463b8b27c0408d32b519fd702dff0a63",
|
|
"grade": false,
|
|
"grade_id": "cell-22c310e26cfe2d41",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"*Plot the data, predictions made with all regression models, and the values predicted by the cosmological model.*"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 30,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "27b490f88536997467462e8d6ce09aa7",
|
|
"grade": true,
|
|
"grade_id": "cell-62cecf73f9f9a228",
|
|
"locked": false,
|
|
"points": 1,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"<matplotlib.legend.Legend at 0x783473c56fd0>"
|
|
]
|
|
},
|
|
"execution_count": 30,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": 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///2Ulpbyzjvv0LVrVzZs2OAY582xro1rr72WqVOnMnXqVOLj412sJbfddht5eXmMGjWKdu3acfDgQd544w369u1b7zTkt956i3PPPZdevXpx++2307FjR06cOMHKlSs5fPgwmzdvBuCf//wnc+bM4aKLLmLKlCmO1Gy7Fc3O7Nmzefvtt/nLX/5Cp06dKCoqYtasWURHRzNu3Lh6zdEb+vbti1ar5fnnn6egoICQkBBGjRpFq1atArZP4QwgCBlUgtDo2FOz7Q+DwaCmpKSoF1xwgfraa685UoSrUzOVdPHixerll1+utmnTRjUYDGqbNm3UCRMmqLt373Za77vvvlN79Oih6nQ6p7TizMxMdcyYMWpkZKSamJio3n777ermzZtdUo8nTZqkRkRE1DkfVbWlL7/wwgtqRkaGajAY1KSkJPXiiy9W169f7zTuq6++Us8991w1IiJCjYiIUDMyMtR77rlH3bVrV62fm32fNVOUPc3RXartiRMn1JtvvllNTExUDQaD2qtXL7ep67m5uerEiRPV6OhoNSYmRp04caK6ceNGt6nuH3/8sdqxY0fVYDCoffv2VRcuXOhVaraqquovv/yi9uzZUzUYDGq3bt3Ujz/+uN7HujaGDRumAuptt93m8tqXX36pXnjhhWqrVq1Ug8Ggpqamqnfeead67NixWrdpT4V+4YUX3L6+b98+9aabblJTUlJUvV6vtm3bVr300kvVL7/80mncli1b1PPPP18NDQ1V27Ztqz799NPq//73P6fU7A0bNqgTJkxQU1NT1ZCQELVVq1bqpZdeqq5bt86r+dT87L1NzVZVVZ01a5basWNHVavVSpq24BWKqkqEliAIgiAIzReJmREEQRAEoVkjYkYQBEEQhGaNiBlBEARBEJo1QRcz9k6q1R8ZGRmO18vLy7nnnntISEggMjKSq666ihMnTgRxxoIgCIIgNCWCLmYAzjrrLI4dO+Z4/Pnnn47XHnzwQX744Qe++OIL/vjjD44ePcqVV14ZxNkKgiAIgtCUaBJ1ZnQ6HSkpKS7LCwoK+N///scnn3zCqFGjAPjggw/o3r07q1atYvDgwY09VUEQBEEQmhhNQszs2bOHNm3aEBoaypAhQ5gxYwapqamsX78ek8nkVHAqIyOD1NRUVq5c6VHMVFRUOFWotFqt5OXlkZCQIKWyBUEQBKGZoKoqRUVFtGnTxqVhbXWCLmYGDRrEhx9+SLdu3Th27BhPPfUUw4cPZ9u2bRw/fhyDweBoRW8nOTmZ48ePe9zmjBkz3JZ4FwRBEASh+ZGdnU27du08vh50MXPxxRc7/u/duzeDBg2iQ4cOfP755y6dYb1l2rRpPPTQQ47nBQUFpKamkp2dTXR0dJ3r5/7vf5x6+x1i/vIXUh79v3rNQRAEQRDORA5cdz3GvXtp9/ZbRAwa5HGc1Whkz5ChAHRe8htaL66/NSksLKR9+/aO1ieeCLqYqUlsbCxdu3Zl7969XHDBBRiNRvLz852sMydOnHAbY2MnJCTEpUMtQHR0tFdixhgeQblWS6RB79V4QRAEQWgpRCoKRq2W6JgYImq5RqpGI5GVTXajo6LqJWbs1BUi0iSymapTXFzMvn37aN26NQMGDECv17N48WLH67t27eLQoUMMGTIkcJPQVH5oVun0IAiCIAjVUS1mABRdHfaQ6gIkwJ2Tgm6ZmTp1KuPHj6dDhw4cPXqUJ554Aq1Wy4QJE4iJieHWW2/loYceIj4+nujoaO677z6GDBkS0EwmxR5kZLUGbB+CIAiC0Cwx+S5mAt0GMuhi5vDhw0yYMIHc3FySkpI499xzWbVqFUlJSQC88soraDQarrrqKioqKhg7dixvv/12YCelVIoZVcSMIAiCIFRHNXspZmrJPvI3QRcz8+bNq/X10NBQ3nrrLd56661GmhEON5MqbiZBEARBcEK1WGz/aH1wMwXY09HkYmaaAuJmEgRBEAT3OCwz+trFjNKIMTMiZtwhbiZBEARBcI/JBHjhZqqOiJkgIG4mQRAEQXCLwzJTmXZdK5XWmUAHAIuYcYO4mQRBEATBPY6YGZ2+7sH262mAbQMiZtwhbiZBEARBcEFVVagUM3XFzNgGVcbNBPh6KmLGHeJmEgRBEARXKuNlwDc3k8TMBAFxMwmCIAiCKw4XE94FADvymUTMBAFFxIwgCIIg1MQe/AuA3ouYGbHMBJFKy4wqMTOCIAiC4KC6mPEtmylQM7IhYsYNijSaFARBEAQXVHvMjKJ4J2YcLQ3EMtP4SMyMIAiCILhiz2TytmCe3c0k7QyCgCJuJkEQBEGoicPN5KWYkQDgICJuJkEQBEFwRTV52THbjgQABxFxMwmCIAiCK5b6iRlpZxAMxM0kCIIgCC5UuZm8CP4FaWcQVMTNJAiCIAguOJpMetOXCaSdQTCRCsCCIAiC4IqvMTMSABxMxM0kCIIgCK7YY2a8qTEDEgAcVMTNJAiCIAguONxM3nTMBgkADibiZhIEQRAEV6oCgH2MmQkwImbcIW4mQRAEQXDBETPjTZNJpxUDMJlqiJhxh7iZBEEQBMEFe28mn4vmSW+mxkdppF4SgiAIgtCcUM31FDMSMxMEHEV+RMwIgiAIgh2HZcZbN5PDMCNipvFxxMyIm0kQBEEQHJh9rTMjlpmgIY0mBUEQBMEVR2q2wbdsJknNDgaSmi0IgiAILqhGm5sJnwOAA4uIGXdIarYgCIIguOBzbybHigGYTDVEzLhB3EyCIAiC4EpVBWBfG02Km6nxETeTIAiCILigmoyA1JlpHoibSRAEQRBcUH3MZpLU7GAibiZBEARBcMXHOjOSmh1EpNGkIAiCILhS1ZtJKgA3fTTiZhIEQRCEmji6ZvsaABxgRMy4QxE3kyAIgiDUpL6NJqVoXhAQN5MgCIIguCJ1ZpoTImYEQRAEwQVH12yf3UximWl8GsksJgiCIAjNCd/dTPYVRcw0OuJmEgRBEAQ3+NhoUlKzg4mIGUEQBEFwwd5o0ucKwCJmgoCjArC4mQRBEATBjiM1W7KZmj5VjSbFMiMIgiAIdurdaDLANCkx89xzz6EoCg888IBj2fHjx5k4cSIpKSlERETQv39/vvrqq8BORNxMgiAIguBCVQCwpGa7Ze3atcycOZPevXs7Lb/pppvYtWsX33//PVu3buXKK6/k2muvZePGjYGbjLiZBEEQBMGFeltmWoKbqbi4mBtuuIFZs2YRFxfn9NqKFSu47777OOecc+jYsSOPPvoosbGxrF+/PmDzETeTIAiCILhSVWfGx9TsllBn5p577uGSSy5hzJgxLq8NHTqUzz77jLy8PKxWK/PmzaO8vJwRI0Z43F5FRQWFhYVOD58QN5MgCIIguOJjnRmlkSwzXkqrwDFv3jw2bNjA2rVr3b7++eefc91115GQkIBOpyM8PJxvvvmGzp07e9zmjBkzeOqpp+o/KU2VxlNVtepgCIIgCEILpqprtrcxMy3AzZSdnc2UKVOYO3cuoaGhbsc89thj5Ofn8+uvv7Ju3Toeeughrr32WrZu3epxu9OmTaOgoMDxyM7O9mleTuJFrDOCIAiCADTdRpNBtcysX7+enJwc+vfv71hmsVhYunQpb775Jrt27eLNN99k27ZtnHXWWQD06dOHZcuW8dZbb/Huu++63W5ISAghISH1n1g1ywxWK2i19d+WIAiCIJwhVNWZaVqp2UEVM6NHj3axsNx8881kZGTw8MMPU1paCoBG42xA0mq1WANpManpZgrcngRBEASh2VD/bKYATaiSoIqZqKgoevbs6bQsIiKChIQEevbsiclkonPnztx55528+OKLJCQk8O2337Jo0SJ+/PHHgM1L3EyCIAiC4IrDzeRtNpNjxTM4ZqYu9Ho98+fPJykpifHjx9O7d28++ugjZs+ezbhx4wK345puJkEQBEEQGlAB+AyOmXHH77//7vS8S5cuga/4W5NqlhnVKoXzBEEQBKHUaMZYXoEeKFcVDN6s5NAyLdgyEzSqW2ZUscwIgiAIgqqq6K0WwDWb6aV1L3HpN5ey6OAip+VKS0jNbqo4xcxISwNBEARBAIul6v9qbqaVR1fy4fYPOVh4kMeWP0ZBRUHVOOmaHUQkZkYQBEEQnLAH/4KzZebbvd86/i8xlbDsyLKqlVpi1+wmQ43UbEEQBEFo8dhrzFAVAKyqKiuOrgCgX6t+AKw+trpqnZbUaLKpIanZgiAIguCMWk3MUGmZyS7KJr8iH4PGwMQeEwHIzM10s3Jg5yZixhPSbFIQBEEQHNjdTBYUlMpr5OaTmwHontCdjPgMAA4UHMBsrRQ+jZSaLWLGE5UHSlKzBUEQBAGHm8msqWrxs/WUrYp/76TetI1sS5guDJPVRHZRZU9ESc0OLg5Xk9VS+0BBEARBaAHY3UyWamJm26ltAPRO7I1G0dA+qj0Ah4sOA5KaHXzEzSQIgiAIDuxuJlOlmFFVlX35+wDoGtcVgDYRbQA4VnLMtpKkZgcZbdXBEgRBEIQWj90yo9iujzmlOZSaS9EqWodFpnVkawCOFh+1rSOp2cGlys0klhlBEARBsFtm7DEzWYVZALSLaodea0vVtltmjpbUEDNimQkS9gBgi8TMCIIgCIJaIwA4qyALgLToNMeYlIgUwGa1cV45sHMTMeMBe9qZtDMQBEEQBMBcaZmpdDMdKDwAOIuZhLAEAHLLcm0LxDITZOxiRiwzgiAIglBVZ6aGZSY9Jt0xxlXMONYO6NxEzHhC6swIgiAIQhWVbiZ7NpO9lkxqdKpjSGJYIgBFpiIqLBWSmh1sqtxMEgAsCIIgCGq1bCaranWkX7eJbOMYE6WPwqAxAJXWGXEzBRkJABYEQRD8SKnRTNojP5H2yE+UGs11r9DEqJ7NlFt2CpPVhEbR0Cq8lWOMoijOriapMxNktPaieeJmEgRBEARMVdlMx0ttVplW4a3Qa/ROw6IN0QAUGgulzkywURRxMwmCIAiCHdWRzaSpcjFFtHEZFx3iRszU1y6Qu8+rYbp6bv7MR9xMgiAIguBAdVhmdBx3Ey9jx2GZqSistrIPasZUDju+h/WzYfcyr1YRMeMBqTMjCIIgCFWYjCa2JHZiS2Inju7IQ1UVWke0dhlnFzNFpiLfUrNzdtgEzOZPoTy/cqF3DiQRM56QRpOCIAiCAMCM+ZnM2RZB6bl32RZsBkX3MBtDVejvPLa6ZUapK5vJWALbv7GJmMNrqm2kHfS/CTpdBs/1qHN+ImY84XAziZgRBEEQWi4z5mcyc+kB0BqclqvmGJZsghnRmUwbVyU4nGJmPNWZObbZJmC2fgF2d5SihW4Xw4DJ0GkUaLRQWIg3iJjxgNSZEQRBEBqTUqOZHo8vBCBz+ljCDcG/RBvNVmYts7UtcM1MUgCVWcsO8PcLMzDobNfNKEMU4BwArKoqlBfCti9tIubYpqrNxKXZrDB9b4ColHrNM/ifVFNF3EyCIAhCC2fOyqw6KpQoWFXbuFuHdwRqBADbBdCGObD9bjCV2J5r9NB9PAyYBGnnVV1z64mIGU+Im0kQGp2meGcqCC2Zg3mlPo9ziJnT+yH7VOWA5ZBeBgldbAKmzwSISPTbPOVM4QFxMwmC0BQQgScEkw7x4d6PU1U4tJLoNe8AUFh8DIzlQCi0GwST/wkdhgakkJ4UzfOEo9GkiBlBEAShZTJxSBqaOrSHTlG5SfkJ3joHPriY6N028V2o00FShm1Q/0mQNixgFYFFzHjCfvREzAiCIAgtFINOw+3D021PXNKrVUDldf0b6H99FE7tBn040T2uBKBIAWLbVxsbOMRe6QGlssW5iBlBEIQzG3+78kxWE0uzl7Lm+Bpyy3NJCE1gcOvBDGg1xB/TbXTsadef/LqdIkOV2ylac5r/aGdzkWYttO5js770uoZoQxjMsRWfMdtDNQJcgFbEjCckAFgQBKFZEsw4o8UHF/Py+pc5VHTIafknOz8hPbojmtCLsJanNtp8/ILVwrQuR/nr7NdYdSSWlb0jWNiznCcrtnFRl8ug/4vQpq9juB4I04VRZi7DrNpaIAS6a7aIGQ9UVS0UMSMIgiDUjslq4qV1LzF3x1wA4kPjuSjtItpGtiW7KJsFWQs4ULif8A4zKT96HTA2uBP2hoIjsGkubPgICrLR5cfS+1Qu+y0adBEaUi6ZBR1GuV01yhBVKWYsNEbfbBEzntCKm0kQBEGoG5PVxD/++AeLDy0G4OaeN/O33n8jXF/lkrm33708+ufj/H74N0LbzmPF0SGMSRsRpBnXgsUMe36BDbNtf+039KExWGI6Acc4pTMAZlpFe7Ywhets792C1SY0AmyZkQBgT1QGAIubSRAEQfCEVbXyyNJHWHxoMQaNgVdHvspDAx5yEjIAMSExzDj3BUz5/VAUK4+v+BfZRdlBmrUbTh+E356BV3vCvAmw+2ebkOkwDP7yHvx9F9YEW2aSRW8EICk8yePm7O/folpsCwLcs1ksMx5wBACLm0kQBEHwwLub3+WXg7+g1+h5deSrDG833ONYjaKh/NhVaAy5FIUf4qkVTzHrwllVYQ2NjdkIu+bbrDD7luBQHOEJtqJ2/SdBUlfHcNVksq2mhRBtiKM4njsclhmHmJGYmeAgdWYEQRCEWvj14K+8s9lWIO7xIY8zLK4/Rb/+SsW+/ViLCtHGJxB+9tmEntWjqhArOsqOXkdCt9dZfXw1P+z/gcs6Xda4E8/dZxMwmz6BkpNVyzuOsAmYjEtAF+K6ntkWzGvRQFJYq1pFWJguzDbWYRAQMRMc7HVmxM0kCEIzRCoHB5ajxUd5dPmjANzS9ioGf57J7s+eRK2ocBmrT00l8e670F80DgDVlMCtPe/g7c1v8NK6lxiTOsbFLeV3TOWw80dY/yFkLataHplsa/DYfyLEd6x1E3bLjEULiWG1tyJwdTOJmAkK4mYSBEEQ3GFVrTy6/FFKTCVcc7wD497+mdMFBQDo27cnfMAAtDHRGA8foXTlSkyHDnHskWmEfv0tcfFjOR0azQ0ZE/lx/3ccKjrEpzs/5dZetwZmsjk7bVaYzZ9C2enKhQp0HmPrkdT1ItDqvdqUXcyYtDbLTG3Y3UxmbNdQSc0OFuJmEgRBENzwcebHrD22hgkrtPxl6T6sQEj37rSa+ncihg51cr9YS0vJ+3gup955h5I1a7i7dQkze13O3JVHuPWsO3hi1aN8sP0Drs+4HgU3rp36YCyFzG9h/WzIXlW1PLot9JsI/W6sVpnXB5zEjOfgX3BjmQkwImY8oEg7A0EQBKEGh4sO88aG15n8q5Vx62wX6vibb6bVgw+gGAwu4zXh4STecTv/C+/GvHVHOR0aBcDzC3ehUXQkdTiPApbyxa4vuLbrjQ2b3PGtNgGz5XOosFmKULQ268uASTZrjN3rUA9UY1UAcGIdYqYqZkbcTMGl8oCLZUYQBEEAm6tkxpoZXLK0jHHrVFAUkh97lPi//rXW9WbMz2TmtiIIiXRabrWqnMi6mNC2uczbNY+rOk/wfVIVRbDtK5uIObqhanlsKvS/CfreCNGtfd+uG1SzXcwoJIV76WZqpNTsJlVn5rnnnkNRFB544AGn5StXrmTUqFFEREQQHR3NeeedR1lZWWAn47DMBPgICIIgCM2C3w79hvan37lume0mN+Xxx+oUMkazlVnLDtie1Mz+URRQoeLEZRwuOsrKY8u9m4iqwpH18P398FIG/DDFJmQ0euhxBUz8Bu7fDOf9w29CBkA12urLmOvjZmoplpm1a9cyc+ZMevfu7bR85cqVXHTRRUybNo033ngDnU7H5s2b0WgCq8MUpXL71sbx9wmCIAhNl1JTKZ989RQP/GwTMgl/u5O4CXVbUuaszKr9nlhRUM0xWErT+Xz3POByz2PLC2wupPWz4cTWquXxnWxupD5/hcjaRUZDqF5npi43k6tlpgWImeLiYm644QZmzZrFM8884/Tagw8+yP33388jjzziWNatW7fAT0orbiZBEATBxkcr32LyvJPorBB+wWiSpkzxar2DeaVejVPNUaw5vgpFdz6qObbaCypkr8a89gNMW74mTLFZR9CGQI/LbSKmwzBXq08AUI22tHOTrm7LjD1mxiFmAuxnahJupnvuuYdLLrmEMWPGOC3Pyclh9erVtGrViqFDh5KcnMz555/Pn3/+GfA5KeJmEgRBEIDjxceJfmE2iYVgbptEuxnPeV21t0O8d/VjMrRxWFXQhmcB8PHvWzEtfwveHgzvj0W3dR5hipFd1nYYx/wb/r4TrpoFaec2ipABsNqzmQghtFKseMLuZmosy0zQxcy8efPYsGEDM2bMcHlt//79ADz55JPcfvvt/Pzzz/Tv35/Ro0ezZ88ej9usqKigsLDQ6eEz4mYSBEEQgJ/f/Af99lgw6xQ6vzkTbWRk3StVMnFImiME0y2qSlLpaQavVSjZ+zDmwr4A/Pu3o5z3QxQ/H48CXRjm3hO4suJJxhqfx3zOnRAe37A3VR8qxYxR9dzGwE6VZcZWNTjQdWaCKmays7OZMmUKc+fOJTQ01OV1a6WL58477+Tmm2+mX79+vPLKK3Tr1o3333/f43ZnzJhBTEyM49G+fT3y6bX2OjNimREEXyk1mkl75CfSHvmJUqPZ6/WM5iq37uzlWU7PBSEY7NqxnF6frLM9uX0CYd27+7S+Qafh9uHptY4ZfnQz7yZfiGqKcVp+jHj+ZnqA5/vMx3jpm2xQuwLB6eOkWq0oZtvNvUmNqnO8i2UmwARVzKxfv56cnBz69++PTqdDp9Pxxx9/8Prrr6PT6UhOTgagR48eTut1796dQ4cOedzutGnTKCgocDyys33vTOrooyGWGUFoFGbMz6T/04scz59fuIuMxxYwY35mEGcVfETgBQ9VVcl65B+EG+F4x1h63vuvem1n2rge3HleuouFJkwx8WzyEv7sUJn44uIuUgCFmSuOBf24q+aqmxLfLDMtIDV79OjRbN26lU2bNjkeAwcO5IYbbmDTpk107NiRNm3asGvXLqf1du/eTYcOHTxuNyQkhOjoaKeHzyhSAVgQGosZ8zOZufSAS4iaVYWZSw+0WEEjAi+4bHj/BVJ3naZCB2n/eQlFW/+Cc9PG9WDDYxcQRyEXKmuZHf0u2wyT6Xh6OTn6+FrjXqwqfLra8w18Y2BPywYwWmNqGWmjKpupUgSdydlMUVFR9OzZ02lZREQECQkJjuX/+Mc/eOKJJ+jTpw99+/Zl9uzZ7Ny5ky+//DKwk9PaLTPiZhKEQOJUh8MDs5Yd4O8XZmDQud5/nakNFe0CryZ2gQe2C6QQGEx5eahvfQTAnqsGcE3PofXfmMUMe38lct0HrAtZiFZRwQiExrAt4hI4WvcmDp32LisqUNjTsgFMamyd4+1uJkeszJksZrzhgQceoLy8nAcffJC8vDz69OnDokWL6NSpU0D3K3VmBKFxqLMOB7YL+JyVWdw6vPauvmcKDRV4waA5i8qarrxbh3dkw/SHiCm1cLiVhtFTX6nfhvMPwcaPYcMcKDpqu+AqsMbajT6X309IryvRrD4OR3fUuanUuAB31a4DR8E8DVgt3ruZVIfBqYWJmd9//91l2SOPPOJUZ6ZRkDozgtAoeFuHw9txZwIi8BqPGfMznYTj8wt38crP25m6uYThwOl7ryE+yodCdBYT7Fpg61S9dzGOi3hYPKZe13PRsnT2qW3J7DUWDDomDknj2fk7aj3eGgUmDErl+YW7PA8KMNUL5llNdbuZ9Bo9eo0eaEFF85oiUmdGEBoHb+tweDvuTEAEXsNwZ2lxZ8Hy5MozouXf50zi6hPzeOZKL2+k8/bDho9g41woyalann4e9J8E3cdjsmrZt3Sh02r2bCd387AJIYXbh6cH3QJnrSyYZ9bCin9c4ZXlLVwfjqqUA4FPzRYx4wlxMwlCo+DtnenEIWmNNqdgIwKv/riztLzwyy5uH57uFGNUqytPUUBV+ab1lfwb107YDswVsOMHmxXmwNKq5RGtoO9fbY0eE6qFRHgoU2Cf16xlzkHweiq45bzuTBvXw6cSB4Egv+gkYG9lkOjVOqHa0EAnMTkQMeMJqTMjCI1C7XemNprCnWljIgKvfvgSNO1NzySLGuLelXdyt03AbPoEyvLsK0Dn0TYrTLeLQav3ae7TxvXgrhGd6Tt9EVdm/cCgw4cJ61DKZeN+82k7geJ0pZix6DToNN5JhxBtSFVZnABfSkXMeKCqzozEzAgth2AFcU4b1wOTxcr7yw86LdcouNxRtwRE4PmOr0HTPrvyTGWQ+R2s/xAOrawaENUG+t1oe8R5LhniDfbjuTm5Dbdv+gNrLpQdPEBYh9qL7jUGp4tPEgeg9/6cEKILqdIw4mYKEo46M+JmEoTGYOrYDCcx8/DYbh5jHVoCnlwPLVXg1YWvQdPeuui66k/B/H/Als9sXavBdn3oMhYGTIbOY0Dr30vpvrB+bO38Jb32mtgz81V6//s1v26/PuQXnyIOUHTeW5xCtdUq+5/J7QyaNFJnRhCCyqRhaS1WyNixF1qrzobHLvBKyLS0ysG+Wlrq7JmESiIFTFh9Bax5zyZkYlJh5KPw4Hb46zzodpHfhYwNDdmXDrD999NvWPLzA7AP3ygszgVAMdQSQ1QDg9bQaKnZLftMUQtVdWbO7BOAIAhNm5qCzhuB1xIrB/saNO3UM6mG1UDBigI8o38frVYL3S+DG7+CKZvh/H9AdBt/Tt39PEdcxoFk0FaYOT3vs4Dvry4KS2yxQVofxIxYZpoCGnEzCYLQ/GgKrSF6PL6w0bNv6ra0uAZNTxvXg3t6R5Bgdx9VkkIer0TN5aKxl8JDO+C6OTZ3kqbxLpmDWg/hx3Ns+8udO9epN1IwKC7NB0AbEub1OiHaEIdlRlKzg4QibiZBEJoZzbFysL/wKWhaVeHwWlg/m+tn/8zFB0NYkNGRA+eEcGl0KmPGXo6h8ye19ksKNAlhiRwb1JGCxXuJOXmSsqV/BG0upUYzu44c42JAawitc7ydEG1Io6Vmn1nfZn9idzOp4mYSBKF54EsQ7JmIp+7UGgXuPC+daSNSYNW78PYQ+N8FFC/4guKDBhRFZeWgI6wouowRd7yAocuIoAoZOwPaDWJJb9s8ir74Iqhz0WOLNdKHel/bKERXPTVb3EzBwe5msoiYEQSheXCmVA4uNZpJe+Qn0h75yWd3Vc2g6YfHdmXnrVFMK3sFXsqAnx+GkzuwKmEc3dYWgAUDFbZyOfmqd8XgGouzU87m1762a1H5ihUkl+QGZR5mqwmDaqsAHBIS4fV6TpaZAJtoRMx4oMrNJGJGEIKBtxex6uOCXSU12EjlYBsGnYZ4Crld+yN3br0Ow8fjYevnYKmA5F4w7kXy4h7GkltOXiSsu6QLpoIBwZ62C2ennE1OnMKmdFtF4osOrg7KPHLLctFVho/qQ3ywzGgbr86MiBlPSJ0ZQRCaILVZLeoTBHtGYbXCvt8wfH0Lq0Lu4f/0n6DJ2wf6CFtrgdt/g78tw5h8ITn//RCAj0ZruPfcaTTFy2F8aDydYzvzaz8FCwpti0+iqNZGT7U/WXbSIWY0hhCv1wvRVhsrAcBBQhpNCoLQzGiqlYMDXlm66Dhs/NjW6DH/oO3CpsAma0e6X3IfIX2vgZAoAFSrlaOPPoZiNLIlTSFm3Dj6txoILKxtD0HjnJRzmJNsYNPYy8gNiwU895sKFKeqiRlF70PRPF0opfWoM6OqKqWFRgpySjm8P6fuFRAx4xFFo7X9I24mQQgY1S9y6x4dXeeYxmyx0NTn4okWUznYaoG9i23tBXb/DGrl1TYkGtNZV3P5ys5kqmlk9hsL1Y5T/mefUbZ2LeV6+OjSCN4fODU48/eSgwe7UXqsF6U1kojc9ZsKFCfLctBZbF8mxeC9mAnRhlBS+b+71OzyEhP5OaUU5JSRf6LU6X9The14lhlLXNZzR9P7JTYVHHVmRMwIjUNzuFB6S83qsy25LUEwqN60EM6w1hD52TYrzMaPofBw1fL2g2ztBXpcgQkDmStcLS2mI0c48cKLAMwdoeHqEXeTHJHcZGOtjGYrv2ysLFLnIbuqMVLtT5adRG+PuPDBMmOrM2OgKCKR0sJoDs3PoiDHJlryT5RRXmLyuK6iQFRCKInR3hXpa75nywAjAcCCUD9mzM90qnXS2CZxwUb1i1uzbw1hMcHuhbZO1XsW4XBZhMVBnwm2eJhW3avGuxEnqqpy7PEnUEtL2dEO9ozsyIzuNzbO/OuJLdW+9iCo6v2mAsWpspMk2N1MbioAW60qRbllnD5eSv6JUk6fKKUgp5TTRxIJiXqZtWcDR4Aj+13WjYgxEJscTkxyOLFJ4cQmhxGbHE50QhhavYbCwkJ4uO45ipjxhNSZEQSfsVefrUkgTeLVrUBzVx3irhGdm/eFu5lR3aLob9orJ9D//jRs+RSKT1S9kDYc+k+C7uNB710Rt9Mfz6Vk+XKMOpg5Tsdz505Hr/XeyuAPwg06sp67xOvxTSXV/mTZSVIsYNaGctoUTdGqY+Qft4kWu3vIanYXE2P7HepMxURHKST17URsqzBiWoXbBExSGIZQ/8gQETOeqAwAljozQmNRM8W4ubmZglF9tqYV6JVf9/Da4j1iBWrOmI1oM79njv4Vhmu3wYrK5RFJ0PevNhGT0MmnTZbv2sWJF14A4OORGkYM+yv9WvXz88T9TzBS7a1WleK88iory/ES0radiy5yHEuHx8Ah4MMdLutpdRqHVcX+2KtmsvOtR7hkXTEJd9xBq8nj/TbPmjSvs2UjomglAFgQfMGX6rPuTOI1U03rSj0NhhVI8B6j2Uq49z0J4dQemxtp0yeElOYyXAtWVUHtOALtwMnQbRzofNmgDWtZGcce+jsYjazvrLDlvLZ803+Kz9sJBhOHpPHs/B1YVZWqUrrO1DfV3lhurhQrVaIl/4QtlsVS47cXT3tH5nqIzkxix0Rik8OJS4mo/BtOZHwomhp1AXKP7Ad7CLCkZgcJe50ZcTMJglc01CR+7vNLXJ7fPjydKWO6uoz1xQpktlrPmMDq5kT/pxfVbSEzlUHm9zYRc3C5Y7E1MoU38wfzuWUEv0yYWP9jpqrk/ftZjPv2kRcJb1+i4aVhTxGubx5FA6tS7fdjixOqJhZUFRSl1lR7e4pz3rESTh8r5fSxEk6fKCH/eCklBUaP+9XoFGJbhROXHE5EkoFX9j/HRauPMyTzOElTHyDl5gu9m7/WUG3KImaCg11hiptJELyioSZxT12eTW5+g75YgSYMSvVqXkL9eHHhTrfLq1vIXATpiUybgNk8D8rzbcsUDXS5EPpPojxtFC8/ubjBc7ts/5+UbP0OqwJvjNdw5cDJDGkzpMHbbUzsYvC95dtQLVWtBBLKC7n6gt5MG9cDVVUpPl1RKVpsj7xjNmtLRannTK2waANxyeHEptiEi93KEpUQ5rCyZBdms+ebdVxWYUVnsfqUmh2qDW20CsAiZjwgbibBX5xJKde1UWUS9zympkncmyqmH6446LKsqQRGtnSMZqvb41OdWcsOcNeIzoRRzqXaVYTMfhmOrKsaENMe+k2EfjdCTFv7hhs8tz4n93DHth8AmDNKg7X/WUxpJu6lmkwb14Po5OW8tWou+vx+3LWumNRiI9rUdnyxdS2nj1fVZamJokB0UhjxrSOIS4kgLqVKvISE1y1MTpTaAq91Jh1g9KloXoguBHsylrs6M/7kzDyr+gNxMwktkIbUh6lP9dlPVx+qc7vuxJH0IGoaeGshW/bRU6wO+R/RSpktRVejg64XwYCbodNIsBcp9QOlRjMXPTCbF9bMQata+aOnwm9DwvnsvOcbPXvJV+zZThaLlcKTZRw7luewsoQd6sKdOXehUw1YkuFAMrDHDBQBoNEoxCSHE986nLjWEcSnRBDXOoLY5DB0+vp/vifLTgKgM1duw8c6M3Zm/rGfqVMCl9ggYsYDiriZhBaGP+rDTBvXA5PFyvvLXe/WbxnWwWU7h07Xz3LiixXIfIZZV+euqlsANhbeWr6sR9YTrS0jy5pMm1F3YBgwEaKSAzIn0+HDPLviPaJNpexuA+9drOHfw54mPSY9IPtrCFarSkFOKXlHS8g9WkLe0RJHIK7V4vrl1mHArJiIjVCJ2LeZ6JAKOj38N+JSIohpFYZW6/+SBDmltnYC+koxo/jYm8lumVEkZiZISDuDJk1Lcd00Fv7MDJo6NsOtmJk6NsNlWWpc/SwnvliBzMbm/RuuGZPyyq97gjQTV7y1fOmTM5hwdBSrrN3ZPvRiDAH6vZpycsi58w4Syws5lKgw41oNN/S+jYvSLwrI/rzFEdNytITcI8WV4qWY08dKXTKH7OhCtMSnVFpZWkcQnhjK5GV/pzR2C0/0fJgeN30EViupybehbx3hdhv+4GSp3TJjUyVKiPdipnrMjIiZYGGvMxNgP58gBJtg1IexM2FQKs8v3FXrGI3i3tXkqQcRuLcCNUdmzM90KwztvLhwJ4+P71nndgIl/q8a0I5nftqOioL71GEVnQJDb/kPd1e2VggUxsNHOHTrLZizszkRo/Ds9RoKzD24s/fdAd1vTcqKjeQdsVtaisk9YvtrLHcf06LTa4hvE0F820jiW0fY/m8dQWRsSJWHANsxPP1HFAZFZWvFPgb07k3Zpk2UrFhB7NVXB+z95JTZLDMGu5jxIQDYoK2eSh/YmwoRMx5QKnszYXH/BRSEM4WG1odpCN6Io8lDO3i8oE8Z09WtdcadFai54Y3I/HDFQR65uEfjVzxWVTi0ksi1H/Ca7hBTzPcBVlSqz8OWSnxrI3TpLt+1m+zbb8eck8OpOC1PXwendKmUHboejRKYfRvLzeQds7mGbOKlmNyjJZQVuk951mgUYlPCiW8TQUKbCOLbRJLQNoLohDAn0VIbljJbZt623K1EDD2vUcTMiRJbALDebG806YNlRhfq0LgaAnstFTHjiUo3kwQAC2c6TSUzqKYFxt7lecqYrrVaJzwRyDL7jUEwRaZHSnJh8yew4SM4tRsdcJkOcojlZfO1lFLVWkBB4dZhtnirQDZyLFz4C0enTUMtLeVoKx1PXatySp9C6aHJYPX+wusJe1zLqcPF5B6psrQUnir3uE50YqhNrLSJIL5tBAltIolNDkfbQFFnFzN78/egG/wQvA0lK1aiWq1VN+B+5njJcQBHo0l3vZk8oVE0KIoWMIOImSBhV8p1nU0EoZnTVDKDFj14HqNfXup4vuGxC4gNNzTZjsaBpqmITKxWyFoK62fDjh/AWtnpWB+BucdfuHpNVzapnajpZlKB91ccQKt1U2fGH9MqLyfn5Zc5/dEcAHak6/nP5VaSUzqTve46sHgfR2LPIqooNZF7sJi9h4vJPVzEqcO2+Bazyf1NbXi0wWZpaRtZaXGJJK51uN/6DdVENcdgNUWBvogDbbVERERgyc+nPHMHYT3P8vv+LFZLVQBwZTKML2IGQKuxiRlFETETFMTN1LhIQG/wqE99mEBQ0xXR0ptFBl1kFp2ATXNtVpjT1dxdrfvCgEnQ82qMmnA2rfZs/aqt8GFDKF2/nmNPPIFx7z4A5p+j5aORVron9eSV899kyKrVta6vWlUKTpaRe6SYU4dtj9zDxRTlube26PQa4ttGktgukoS2NvdQfJsIwiJ9b6/QMBQs5e3R6DPZcjqT0QMHUvzHH5SuWxsQMZNbnotZNaNBx+7YVMp0IWh2FnBzhtXr36dGsaeFSwBwcHC4mcQyI5zZ1Kc+TGNgr3PT3Btw1pegiEyrBfb9Bus/hN0/g7XyszdEQe9rbSKmdZ+q8V5azeoqrFcTT/WOTEeOkPPSyxTOnw9AWUwor15oZGNnhZHtRzJj+AwUtcq1lDl9LDorHNub73ATnTpsi20xeygyFxkXYhMt7SJJbBdFQtsIYlqFu/QdChbWslSIymTLqS1cOnBApZhZR8LkyX7f17GSY5gKz6LixOU8OSTatnBdHs+vX+B1yQZNpWFAUSQAOChU1ZkRy4zQfPHW4uUpkNYet9IYmUFv/77X6bm9zs0Ng9sHfN9NEYNOU2vwM9iCo/0iMguOwMaPYeMcKMiuWt7uHJuAOesvYKh/+q8v3np39Y5e/nkHU0q3MnrJp2A2oyoKKwaE8/6wcorDtdzV52/c2ftOygrMHD6Qy5ByHa0sGr58ag1Fue6tLVq9hoRKF5FNuNisLqERTbuwnqXM9nvYemor4QMnAlC2bj2qqqIo/hVcby/ZQ/mRG12W+1KyQVNpGFAkmylI2OvMSACw0EJ5eGw3nyoA26lvjMunaw67LLMFuGa7GW3DU1+gFxfuPCMymjzV7LGTFBmK0ey9yd8Jixn2/GKzwuxdVHWuC42FPtdD/0mQ3Ljp7Z7qHZlQeDG8N6FJG2kXeYi3hpWSFxtFhnUY47XXolsawey5KygrssXznItNkNiFTERsNWtLpXiJbRWGJgBF5gKNpawdGkXD8ZLjFHVshRIaiiU/H+O+fYR07uy3/RjNVhZtsn8+7kWSNyUb7G4mETPBwl5nRgKAhRbKpGFpTTpupbYaLPXJfmqO1KdKs5J/ELZ+YouHKTpW9UKHc21WmO7jQR8WoBl7bpNRYbLw/tJ9oCq2hkJOk1ZAVXnpnAlcYT3FqOx2GLJsmVNHqQAqbMM0CjHJYSw/VcgJrZX/3DaQtmkxhEY2bWuLT6ghdIzuxN6CPWzL30nnPn0oXb2a0nXr/Cpm5qzMwlpHNpg32XT21HgRM0FCAoCFxqZ6nMDcVYe4a0TnJi0m/IE3jSarY/9cAK9qsPiTmqnevvauChRemfwtRi7WrGaC9jdC396GIxgzPAH6/tVmhUns0ijzdQiwwe15oIOV0o2bKNuwnmW7T2LqN9GTEQAUhTJCsJalY7Bo0eo0JLSNIDE1iqT2tkdC2wiMqPxf5XFq3TWW0DMwxuqsxF7sLdjDllNb6D1woE3MrF1H3PXX+20f/sqm02jsn7+ImeAgdWaERqRmnMArv+7htcV7Gi1eJRjUfM/eYP9czkmP96oGiz/wVK+mPlaRQFLT5B9u0JE1tRtsmI06837eMZyqGtxxBAyYDN0uAZ33GTmqqlJoLCS3LJeTZSc5WpSDPm41VlM0lmL7Z1BdjVQ/CFXLrVaVmSsOEfHez2SUmymKSmVd6rneTeKsGK6/rAexKeFuexEZW0Aqf8+Enny372u2nNxCWL/bACjbssWv+/BXNp220jCgETETHBSpMyM0Ev7si9Rc8PSevcGqwqr9eX6eUf1oSsfIYfIf3MZWD2bDbMhaBthkRI4ay+eW87n1vscJS67bHXG6/DRbT21l9+nd7M/fz4GCAxwoPECJqcRpXGiK7a8t62U8qjnW8ZqiqrZWB27dRjDrrIu5ozAUDQo6nQVwXz23Ol17JpLQNrLOcWcyZyX0AmB77nYMg23fO1N2Nua8PHTx8X7Zx8QhaTyzcDWqOQpP5jJvsukkNTvYiJtJaASC2RcpWHjznpsS3rjCmsoxsm76FFbMgrLTtgWKBjqPoaL3jQydC2Z03BKX5nbdI8VHWHF0BetPrGfLyS1kF3kOvI4yRJEUmkhaSST56/IJL0gislRP55NfEmm0kBPTjuNRbfksra/nySpQpEBWShkDO4fSqW0EX/5SjsXqRvxU0hj1jpoDadHpROgjKDGVcMCagyE9HeOBA5Rt2ULUiBH+2YliJiT5O1s2k6q6PSbelGywZzOJmylYSJ0ZoRFokiXrvcRT2reni789xsSb9+wPPDWo9JVPVx+qc0xTOUY9c34A7WmIbgf9J0K/GyGmHRajGTPOrrJyczmrjq1i+ZHlrDy2koOFrjFG6THp9EjoQaeodLoUhtPmSAURWScw79hN+c6dLI0I5d0+E8lNrqxBkg5RFhhVbsCCCpjqnHNEvzQmXG5rlnlbWe0Wu2DUO2qKaDVaeib0ZPXx1Ww5tYVhvXtjPHCA8i1b/SZmTpSeQB+9Ha0yD1P2tRjROl7zpWRDVWq2WGaCQpWbSWJmhMDRZErW+4na4mDsMSYZKVGNMhd3NVrqE7R76HTTP0YKVlI4zdndO8HA6dB5dFV5CaeBFfx66BeWHvmNpYeXUmYuc7ykVbT0SezN8NCe9CqKpd0JM8rqw1Ts3k3FvoWo5eWUhMRyLDqdwqg0VvYcxSdJiS67KNLAd+FGhmhCvPIsVI+58NQJvTHrHTUXeif1ZvXx1Ww9uZXRvXtR8N13fo2bsfdkSm+bz//6JfH7w8+yJ6YtCVP/4dNvSOrMBJtKN5NqFTeTEDjaxnqXAuvtuGDiTRyMVYXMY0V+2+c5aXGsyTrtsvyWYR3c1mipT9BualzT6F0VQgUV2IN1nYNsVRSuHNwV3RU3uaxXZCzilwO/EdruE3QRu/m/5WYMJpXkfMgojWWQJZVOxRHEnSjFsmc3loK1AORpQyiKbE9hdDqFnYZSGJNOhSEGsPXH/j663HUq9ucqrFIr6rSOuXMbTRvXg7tGdKbv9EVA/esdnen0SrTFzWw9tZWw3tcCULZ1q9+K59nFTEpECjqLmd6n9hFlLGWEjyUbtC2xzsxzzz3HtGnTmDJlCq+++qrTa6qqMm7cOH7++We++eYbrrjiisBOxh4zIwHAQgPxVJodPGeh1qRpFFL3TCDiYCqviR7RKPDeTQMdF73qJEWG8vyCHW7X8zVod8KgVJ5fuKvWMQGL5VBV+ih7uV67hMu0K1hm7c1Tpps4RkK1fSvcPjydf1R7L6WmUpbuXsjqdd9zbNcGEvPM3HtaJeW0Stt8LbGF9pu0XCAXFYW88BQKo3tQmJJOUUIXigxJ1PzmKRqFhLYR7AtXKT7huWs0tvheBqclsPJArsdhntxG1Zc19XpHwaJXkk3M7Mvfh7ljWxSDAWtBAaaDBzGkpTV4+w4xE56CWmYLzDZqfJcMDstMS2lnsHbtWmbOnEnv3r3dvv7qq6/6vVRzbTjqzIibSWgA7kqzV7cMHM4vq2XtKrwdFyw+XX3I77r/5mG1l/KvLX6iLvEB3gftenMh9XssR1k+bP2C0HUf8F3IdsfiLsphxmlW8rl1JEVE8PB57bmhtYp65ADH31zMkV3rKdy/m9Dj+XQoUengduMWjPooilJ6UNz6LAoiO5BPHGarq1sqMi6E5LRoktNjSE6PJik1Cn2Ilse/2wYnTrnZtjNdUiLp3T5a3EZ+wN7Z2/GcRNpGtuVI8RG2FewkJSOD8i1bKN+xw79iJiIFtcAmZkzaeogZpQXFzBQXF3PDDTcwa9YsnnnmGZfXN23axEsvvcS6deto3bp140zK4WYSMSPUD29SroPeGdlPeBtXUpPa3BBTx2ag12pqvRDWt3UC+Cdo168XZVWF7NW29gLbvwVzGRqg3Krnl7IBLM87i/JCPR0KT/Bk0fu0KzpJ9LelHKm2ifDKhx1jdCi61HTM7fvz44koLGEppMYlU1Jc7bxW+a8uREur1ChSOkaTnGYTLxGx7ivA+vK9vXV4x0Z1G9VmCT3T6J3YmyPFR9h6aitpDjGzk+iLL27wto+WHAWgdURrVKOtwnJ9LDMoOrYkdmJndGpAj0eTEDP33HMPl1xyCWPGjHERM6Wlpfz1r3/lrbfeIiUlpdHmJJaZpk1TP2F5m3K95YmxAeuM7KnYWyBIiQ6t13p/PjySoc8tAeCu89J5p5r4M5qtTBvXg0lD0xxjHhzTxakysq8VhGvSkKBdv12US/Ng86ewfjbqyV2YSrSU5+kpK0+ntDSRnP2n6WI8RBfcZ1XlRcLxODgRp1DcKorWnQfTofVYdEoaJ7LLyckqxFxmJbYy4aik2AoKxLeOIDk92mF5iW8d7nWvIl87ejeW26guS+iZRu+k3izIWsDmk5u5prut6GD5DvfuVV85XGTrldYuqh1qhc1CavJRzMyYn8kc03hKz7XVBZofwOMRdDEzb948NmzYwNq1a92+/uCDDzJ06FAuv/xyr7dZUVFBRUWF43lhYaHvExMx02RpDicsb1OuP1t7iNuHpzf7dNRrBrbjlV/3+Lxe9fc1s4b46//0Im4fns7t51VZTm4YnOq0jjdp07XREItXgy7KqgpZyzD/MYuylb9RfkqhLE9PeV4Klgr7NiuAI0RjM54cj44gO1EhO6WU7CQ4mqBwPBZa6zM4Tz+WtNLuxB7VcXpnKVt3Ahx37M4QrmOHsYIjOivP3taf1E5xGMLqf/o36DR1fm/91tHbS1pi8ck+SX0A2HJyCyEZtwNQvrPhYsaqWjlSbLP5tYtqB0bbb9sXN5PjeGicu60H6ngEVcxkZ2czZcoUFi1aRGio653d999/z2+//cbGjRt92u6MGTN46qmnGjY5cTM1SZrLCcuXlOvplTU2mnNcgT8uWjXFn/2Ylpo8u5Lq696Cxi/ApprNlG9aRdn8Dylbu5Kyo0ZMJTog2nmgTofaKZXc9Di2JVQwX3OAo8nlGPUVaC16kko6k3y6F91OdGf8sTaYy2wfXA5G7BV0Y5PDSekUQ+tOMaR0jEGJ0tHvmV8BWHSygFszEmgo08b1oNxkYfZK94KyMbuWt8TikwAZ8RkYNAbyK/I52SYcFAXLyVOYT55El5RU7+3mlOZgsprQKTqSw5M55XAzedew0+l4eIh19ffxCKqYWb9+PTk5OfTv39+xzGKxsHTpUt58803uuusu9u3bR2xsrNN6V111FcOHD+f33393u91p06bx0EMPOZ4XFhbSvn17n+YmbqamR3M6YfkaC1OXO8UXGtO95A5fitV54yaau8pzJdq2MfVPWQ+0xcucl0fZpk2UbdhI2arfKdu1H9VU/f3aTr/mtgnkd2nDwbZ6NiUWsyz0EKWaQ8AhQk0RpBR2Y0B2F5ILu5FUloSWqjmbUdHqNbTqEEXrTrGkdIohpWM0YZFV/ZYCZcmcMT+TOasaZhnzF825+GRD0Gv1dE/ozuaTm9lSvIseaWm24nk7dxLZADFjt8q0jmyNTqNDNdqKH3rrZgrG8QiqmBk9ejRbt251WnbzzTeTkZHBww8/TGJiInfeeafT67169eKVV15h/PjxHrcbEhJCSEjtrcvrRCwzTY7mdMLyNaYAnK0bNd0pzYnv7xnGpW8uB+C2c9P4759ZgE2g1XRFfbHucJ3b8/QZzpifyXv16O+k6Ipo1W4Zf5TtY9nXGrSKFkVR0KBBURT0Gj16jR6dRodeo0ejaAltdxpUreOhqlr+s24DYToDekVHRH4FcYdOE3Mwj8isk0QcyCHkZIHLvisMKofbaNmVqmdzGyu7WlspDS0AbGMjKmJok9uHtJLutCvpiqEwmsM6KyWKilFVUFAoVlSO6Kwc0Vp4+e5zaNcxFq2H70qgLJkN6a0VCM604pO+0CepD5tPbmbzyc30797dJmYydxA5fHi9t2mPl2kb2RYAtTJsw+ilmykYxyOoYiYqKoqePXs6LYuIiCAhIcGx3F3Qb2pqKunp6YGdnCKWmcbEm4De5nTC8iamoDnEwtSH6u/JLmTAJtBqipn6ppw/8cM6Zi+3x4R4KtmgUrO4HEBI8neUhm2jtNj7/YWHqsQVQ1wJxBeppORByp+raJ2n0joPojyUXMlOhN1tFcfjaAKoigJYQIV4Y2sGFp1D++KuROYmoxRVWVR26y0sji6nuNpXRFEr30Xl20pKi/YoZAJlyfS2ppDRbCXc+4bcDeJMyQqsD72TbOVMtpzcQkj3C2D+/AbHzRwurgr+BXzOZgrG8Qh6AHBTRdGKmGksvDWDN7cTlpRmr5t2XlY27nlqJ8nGo3xwz+dkHNvK92f9HQwxHv3xNtyUplVVtAeu5OM9Bej0WtBpUXU6VK3G9r9Gsd2FlpZDWTlKeQWaghK0pbUUiAOsGoWiJAN58RWcSjBzspWVE0lAbAKRSRmktTqLs0LiCC+MI+xkPNajoRQetFBR5BwPpGgUktpHssFg5rsc187gqg+ltgJlyfS2t9anqw9x18i6u3P7g/pYQs8U7EHAu0/vRul4GwDGvfsatE1HJlOkXcxUupm8tMwE43g0OTHjKQ7GTqM1frTHzKiq38pDC674YgZvjiesplSavbYU9oamONeXOrOgVBWNqrItMYNtZLAYiIkfR0FIZP12qCiUGML5QunEDZm/+rRqhUZHXmg0eaHRHI1I5JrLBxERmo8hfwWG/BVodJVfzLB46PtXrH0ncqq8DYd3nebY2nyO7SugsNSMLbfSdqer1WlITo+mdecY2nSJJaVjDOg0PPzYggaXfQ6UJdPb8Q0JzvaVlmwJTYlIoVV4K3JKc8iKtxAOVGRloZpMKHrvAnZrUj0tG6osM97GzDgdjwZ03PaFJidmmgqOAGCwWWe0bpq2CQ3CVzN4cz1hNZXS7J4sXu6aQ2oUeO3X3fWyHvkijPSKSlrBUbKiK4thVj/pVd64WGucCAsMzqme9WFexhgeuvcydFYrqtmMajaB2YxqtqCEhqAJD0cTHoEmPBxTeARD39tCiT4UFIUOynGu1y4hpew1lFM5tg3qQE07n9y0Wzhi6sPhPUUc/TkHY9lR5/cboqV1pxhad46lTZdYWqVF2SxE1fjfsv1+qaYcKEumt+O97WnlL1qyJbRPUh8WHVzEZu1RhoaHo5aWYszOJqRj/WIHXd1MlRWAfagzY/+85yzZTqm26rsQqOMhYsYTImYCTn3M4C35hOUPalq8AhEgetlby+sck1iWz4UH15B3+Yu8c/w4y1v35N3eV3AqLLZqkGKPealxV+cHK6lZo+ObsE5euVdKjWZMhkzGa1YyQfsbQ7WZAKjFkGfow+GEGzli6s3RrSbKV5mAqs/TEKajTZdY2na1iZfEdpF1FqbzxVLy4sKdPD6+p9vXAmXJ9Ga7YOtp1dg0JUtoY9I7sTeLDi5iS+5WRnbsSPm2bVTs2VsvMVNmLuNUma1VhcPNVFHZm0nrm6Vn2rgeDM/8hCPfbmJ5eiLdb3n0zK4A3CSpJmZUq7XJN/prjtTXDN5ST1jVU64zp48l3OD+5+uNZWTWsgPcN6prQAJEPV3kXlu8m7SCY1y75zfOO7wJLSpWoDgUylttJyN6BxuTOmMs74a5uAuqMbCtS7z6/p3chX7tB6wKmUMcxRRY2rC1ZCybjOdi0vSgrEwD2QC2belDtLTuHEvbbrG06xZHYvsoNBrfzh6+WEreX34QvVbjVnAGypLpzXbt44JBU7GENiZ9WtniZjaf3Iyh82CbmNm3F7jQ523ZXUxR+ihiQmxd0hvSzsCg09H71D4KEo5yYwCPh4gZD7i4mQS/0xAzeEs8YXmLN1VxrSo8+NlGvwWI1imgVJXvf9/B3CUvo63MKspsD4v6aVjTTaHc3IZ7B97A8q/DUC0NdyN5g8fvn7EUMr+DDbMpPrCbrIq+/G5+gL3mzhQo4YRZFaJUhXYVCnq9htadYmjbLY523eJI6hCF1suWAJ7w1vJhpzbBGShLZm3b9XfDUaFuusd3R6foOFV2CmN7W30Z49699drWgQKbSE2PqcoYro+byY5W04IaTTZJRMwEnOYY0OsPvLWw1BdvAy8PnfYuLdobC0ad9WIUhYKQSLYmdqQscT/fDNFwIFmLubAXxsNDsZalMv6akfzH8rtXc2oobr9Xx7diXDWXI+szyS7pQnbFX1mjac3iMCPFBsAAUJV9pAduPjeNv116ll/n5q3lw05dgjNQlsya2wXnXltC4xGqC6VbfDe2527nUKJKK6CinhlNdjGTFpPmWFZVZ8b3gGKtYju/KQT2OipixhM13EyC/2muAb1NmVKjmU/XeK6YW53UuDB2HS+qc5w3FjRv68W8Ni6G4pRIjHlDMO0djGqO9jg2kHf59u+VtbSIE7//SPbanRw+1YoTplFYK03zu/UWvgs3etyGCXjvzywUjeL3WC379rwVNHUJzkBZMmtuR36rwaNPUh+2525nS+RpxgDGAwdQzWYUnW+X+QOFbiwzZbbSBBX1ETMae7xpYC0z8s3zgLiZGodp43pw53np1Awr0Chw53kS0BsoNAq8cl0/l8/d3ThPlrHqrqUTBbXXYbFzUj2L4r2PYDx1Ya1CBmyNCmujrkgUd69rFLi1fzsuNRYw/4m5/O/vf/D198msPXY+x0zdsaIjOlYlY1gKCyKMXu1o1rIDAUltnzauB3+/oItXY5tKbaVwg46s5y4h67lL/G5xFGrHXm9muWUPSlgYqsmE8ZB3NzbVcetmqmiAmKlcJ9BuJhEznhDLTKMxbVwPNjx2geP5w2O7sfPpi0XIBJDbh6cTGarj9uG1V9L2ZBmbMT+T/k9XuReW7jllS6X2WAdKRaOApagPWL1rNTJ1bIZHoTu4Y3ydp0b763ortDYrDC6HRyu0xP+Wy9KfyzhwojVGNZwQbQmdOuQz4uq2THxmCBOfG01WWqitZaMXsbt2N08g8MbFeia6YgXf6Z9s63G4I38n+vQ0ACr2+tbJ3qpaPYiZBriZGskyI9LZE9XTP0XMBBwJ6PUPpUbPHabBNfCzPgGidfblcSmSZUuxvmFwe+as9O1O0VMDzmd+ymTVftcKuTUZVqZlSIUepVKVlAEaTLQ27KJ9qpn2QweQOOgSl3TpQBWS8xVvfgfiihXAVjyvXWQ7DhcfpqhtLCGZYNznW9xMTmkOZeYydIqO9lHVmjOX2ywzXz0wkjAfLW5ajQ4rEjMTNBRFsVlnrFYRM4Lf6PH4QtY9Ojoo+/YU+OlLgGithQ4VpVLIuLwAwJTRXb0WM+seHe1wU7hrwOmtW6WdRYuCQrzuIKmGjbRNyqPtucPQD7gRwuM9rheoQnINwV0M0S3DOpyRFky7u0rwjQHJAzhcfJiDCVa64nsQ8P6C/QC0j26PXlNlhbFWWmY0Yb53qddqdJiwnQWsauCupSLna0M6ZwtnELVZvLy1jNVZ6FBxU+SuktcW7/Z2qnVyw6AOtjsxj14tlTirkRvC3+PaxLvRx33NSyHptHroA/TD76pVyIDNbeNteZjGcvP8+fBIx/8Pj+3G7mcu9lgwT2iZDEgeAMCW8FwAjAcP+rS+w8UU7ex+VistM5oQ71zE1dFq7NlMYLKafF7fW8QyUwuKRmM7V1oswZ6KIDQJGuJOmbvK92DE6oRZIWv9STbsLSQ7M49LjAZbtlHN5tioKAo8Gvstnxe35XvzNRRSWbvGy+rBvqRHN5abR1yxQl0MTB4IwGrdIa4GjFlZPvUWdBsvY7U6YmaU0FCf56RVKmNmVDBZjEBg6kiJmKmNyhYGYplpvgS6pos/qT63uubZ4/GFPr8fo9lKuKHe0wMgQXO63uvWlWb93jJnk7iqqpw+VsrejTlMKDLQxqJh9adVAY09DVrilTy+V0PIrXaCjKGEm/pGc/Ff/svfn/il3vP1FE9kR1poeI+4jRqHdlHtaBXWiqMxJ1AVBWtxMZa8PHQJCV6tv/u0zXraKbaTY5ldyABo6iNmqllmjGKZCQ5imWl+1BQvwab6fIJN/6cX1fvia7Fa+PH7l+j/7GwSh/6LU6ExfumRVJ2PV2aDCgkWhbff20SHXAvFubYTaTtsNxZxKQbS4w/SofgLkiuWolUsPKoqfGIZxU+WwWxSO1NAJHddeUFtu/Iad4XhoOW00BCaF4qiMCB5AAvKFlCREEnoqSKMBw96JWasqpVdebsAW0Vhx/LyqrIL9bHMKNX8teJmChYSMyOcQdS3eeTO3J0s/M99jPrhMDorTMj6iTcy/ur3+akACuTqVN7PySXSCqMNBkZ2TGDFoQ2cH/oj45SlKHmVNxehMZh6Xs1lKzqzQ629Jk1DcCdYxM0jNFUGpgxkQdYCjscrpJ0CY9ZBwvv3r3O9w0WHKTWXYtAYnKv/2sWMXo9Sn4bLlTc9isPNFBhEzNSCo3CeiJkmTXXrR7AyhfyBP0zx3jaZ9KZ5pMliYtaq1wl/4X0u3Gnb7ulzz+L+V97FuOww7y09ENDKEcWKynfhFYwq+jf/ia60jKhA+8EwYDL0uBwTBnYsbxqWL0FoCgxpPQSAPZElpOF9EPDOvJ0AdInrgq5aDya7ZaY+LiYbjWOZ8enWIju7YQF8zQ57zIy4mYRmwn2fbqxzjDdF3nbk7uD+/15Ot6n/ZdBOKxatQvg/72fIrC/QR0VXVqft6v3E6qN6FAUFledKxnPKGsV/zRdTdvtyuHUh9J0AhqZR9Vaw0dRj0loK7aPb0z6qPUfjbD86Y1aWV+vZxUxGfIbT8qrgX98zmWwrVllmzNba62A1BJ++eR06dCA+Pp4+ffrQt29fx8NoNPL6668ze/bsQM0zOGjFMiN4R1MINJ4xP5P1B/O9Gus5K8nCf7fOZO+nM7nzZxMhZjAnxdL5jXcI69vXaeSRAu/6MelV6G3WsUFnRvUxzEZFwzESGWJ8ExN6/pqUUfdKgtDCGdpmKHvibBYZby0z23O3A65ixlpm+51rQuppmbGLGcCsNhExc+DAATZu3MimTZvYuHEjn3/+OUePHgUgOrr2PivNEUUjlhlvaQoX85ZMrcXs3OCuyJsm5DhRSZ+j+U82d2223dUZhp5Dl5deRRcX5zI+Nc47y0hXo4b1hoadxEz4Xka9JvK9FFoKQ9oMYWn8PACMhw7VmZ5tVa1sPbkVqOrxZKfBlhnHhpqYZaZDhw5cccUVjmUrV65k0qRJTJ8+3d9zCz5imREamZrZT95egOssZleNmkXeLFYLszPfJy32Lf7+hZGOJ0BVFJLuvZfEu/7m3HS1GhMGpfL8wl1u6rw4sz3EWueY+vLiwp0el08dK1YcoWUyKGUQeXE6LIoFbWkp5pyT6JNbeRy/P38/RaYiwnRhdIlzbm5aFTPje/VfwCGiFMDcVGJm3DFkyBBee+01XnzxRX/Mp0lht8xIarbQ1PGlmF31Im8nS09y56I7Wf3la/znQ5uQITaG1P/OIumeuz0KGWOZmeyNJzmnrFJo1RRSNZ/XKWQ8KzFPlXhnzM/k/eXuTejvLz/oUegIwplOpCGSvm0GcjLG9tx4MKvW8ZtObgKgZ2JPp+BfqMpmqn/MTNW/TcYyYzQaMRhcq2516dKF7du3+21STQatPTU7sN0+WyoNyUKqnvlTV3PFloC3vYGGpCc40rL/PPInj/3xL8b+corLV9m+45nxHbhg3n+JTG3nsq6x3EzW1lPsXZfDoe15WMxWzkdPa6uGX8OMlFQXHT5bYTyvMHloBxfR4o1b7cMVvpVyF4QziTEdxnAsfgUp+SrGrCwizjnH49iNObbEgZouJqhmmWlgzEyTcjNFRkbSo0cP+vXrR9++fenXrx9t2rThjTfeYMyYMYGaY9BQFLubSSwzQvCpmXZdvaLvxCFpPDt/R62uJgWYfes5mCwmXt/4Ot+u/oAHvrXQozJJ8ZtOw3n/rEu4OCWlah/lZg5uzWXv+hwObs/FYqqaQ0yrMBYUFLLLYOGXaSMY9vzv9X5vQ9ITWJ2V67Zz95QxXV3EjDduNbkHaZlItWEbo1JHMSd+Ov32Q/7eHbhGvdlQVZWVR1cCcE6Kq+BRyytjZsIalprdpAKAf/vtNzZv3szmzZuZO3cu06ZNo7xStV100UU8/vjj9OrVi169epGRcQb4qx2p2RIz01RpShV2A8mM+ZkulojqFX296SV087AOnCg7wsNLH8a8YQv/+dZCbAkoEREkPDWd9/60Xf1NFRb2bMll3/ocsra5CpguA5Pp1L8VYUkhPFrZLiBEr6UdORzGs1/eEwowa9JAzFar287d7ixvDekRJQgtgVbhrdC1bwfrsjm+exPpHsbtyd/DybKThGpD6Z/sWlzPWt6wbCaD3nYdVVTQaAJ3LfVJzJx77rmce+65judWq5Vdu3axadMmNm3axJo1a5g1axY5OTlYzoA4k6qiec3/vQhNh+oWltnLs+osiz9jfqZbkVKzou+0cT0oNZmZs9J9Pag+GQe57vunGbWsiOv/sKJVIaRLF9q+/hqmlLZ0XLKYHkYt8/5vJWZj1Ryjk8LoMqAVnQe2IqFtpCOgr9RoJpJSLteuIHbOc7ygNzHB9JjPn4cK9H5qIZOHVlXxravCrrduNUFoyaRlDAKyKcv27HJdcWQFYKscHKJ1jYtxWGbqGTNTPYuqybiZaqLRaOjevTvdu3dnwoQJjuUnTpxo8MSaBGKZEbykuvWg1GiuNQPp3OeXOP5/fuEuXvhll8eeSd7EhlSv6HvX+Z3diBkjISk/8sIvq7n/Byt9smwWmOjLLodJD7JqZT571q/iqhLbycqMlejEUDoPSKbzgFYkto90TutUVTi8DsO6D1gT8iXhSgWcgD6KnliKyCcSX4NmrCpOrqS6+mt541bTKOJqshMo14u4dJo2gwdcTh5fEn2qjD2n97hkKgEsOmizhp7b9lyX1wCsFQ3LZrLTpIrmeUtycnIgNtvoiGWm8WhJJ8WaF9jqFpYpY5yr6n66+pBXsSFzVmaRU1TuRvhYMCT/zDl5q7jnRysxpVAS14Giy+5lbVE8RW9UBe6XKCo79BaevO9sUjvHutalKDsNmz+DDbMhJxMdoFNgr7UNKaPuZPjPyeQT5cMnUX+8cavZ421aghtSENyR1Oks8oCICvh6w0c8PPppp9cPFR5iy6ktaBUtY9Pc3zioZQ3NZqqemt3MxMwZg7QzaHYMfGZxo+7PnzE7s5Yd4K4RnZ2WHTrtXWzIVxsOk3msyM0rGozHxzNkYwX5CVHs7ncuRfokOAhQjj5ES6d+SaT2T+LCuWtQFXirQ1SVkFFVOLjCJmAyvwNzZdM5XSjm7pdz/bpurFO7sW7gGE7/bPvsJ5zTjk/XHHaehQIDO8SxJuu0D59I7dgtWbOWHXAbODxtXI9mn+kmWXtCQ9CEhWGNj0GTV8DaDT9yaugUEsMSHa9/u/dbAAa3Huy0vDoOy0xDs5mQrtlBQxpNCo2JVbVZYqrjbZXdHW6FDNjuh1Te6XsNdxSGokFBo1XYpZjZYbDwxfSR6AxamyCrbogpOQWbP4X1syF3T9Xy5J62Jo+9rsGojWTdWlchd/eIzk5ixh7M+8T32/wqZsAmaCYNTWPoczbX3YNjunDXiM6OeJuWZPETBHdEpKZTlreJ2Dwj725+l0cHPwpAQUUBn+78FIAru1zpcX1/ZTOBiJngobHXmREx0xypK3altvWC1ZqhpiVmwqBUXvhlV52uplpfVhSKFMhNMXDN6I606RlPv+d/A0Bn0FYNw8qOm8MI/e422PEj2E88+gjodRX0nwxt+1fdaXlpKbAH83orzGpSlyCpHih8w+DUOruBC0JLQt++PWWbNpGcD5/t+oxRqaMY2mYo725+l2JTMV3iujCmg+fSKqqfLDPNMmbmjMHezkACgM9YmlpPqZoXfG9iQ85qE8X2o54sM1VY+8Vx1vC2ru6K4uPcrf2O67RLCP00p2p5m37QfxL0uhpCGh4L42h/IAhCo6Fv1xaAwWo633OQ+xbfx5A2Q/jj8B8APNj/QTSK5xsAa4NjZqr+iJgJEo52BhIA3GLp8fjCBokcX0rqaxT3F3xPsSFaBf6anoxytBhv6m9XT2fWYOU8zRYMX36Mds9C/qm3fcfVkCiUXtfCgEnQ2rUaqDeEVbP2VEcsJg1DXGZCfTC0aw9AL2MrRrRP5/fs3x1C5p6+9zC83fBa13d0zQ6rn2VVaYoVgFsc9nYGYplpMMGygPha08Xf+/alpL5VxVE0ribTxvXgrhGd6fvUIiKt0MqiMNBioNWGAqyoKDGgojoF29XkurNToeAwunUfsTTkf7RTTsFu22vrrF2ZZxnJ9Kn/R3hkjE/v0x9oFPdtC+w0NQuaIDQX9O1srUnMR47w6oj5/HroVw4UHGBQ60H0a9WvzvWtZTbXtyainrWdHNlMqsTMBIumapk5U0/s/n5fd85Zz4aD+Y7nddV08TfedrJWsFXn9XQhBygvNvH8BxsJV6FYC8Valf1UEBliZXjOftTYztRV22Xle/dxwel5GFQr7RTIVyOIOOdGzH1v4uo3bPuebojw4R36B3uAsNlqrfUz8ET178mZ8lsQBH9haG8TM6ajx9CoeEzB9oRaWilmwhtWqFJiZoKJWGaaNeurCRk7NavmBpKvNhyuexDw10HtmTo2w/VCrsLxPfnsXXWCnzYf5bswo4teKVYUFiR38mo/pScPgNaKJXUYD+7ty0Lr2Wy8YHzlq8FrymgPEK5edbgpIe4doTmjS04GvR5MJswnTqBv08an9a0llWImrJ5F8xqpArA4sWuhqVpmhIYza9kBl8aN/mTG/EwPdV9c6ZgY6fQ8zApnl+u4tSiEBW9sYdfa4ywONdperGl8qcWtVBNN2nC4dz0VN37P99ZhVGDwel1BEJonilaLvk1rAIyHvbvBqo61wZaZamKmqTSabHHYi+ZJanaTxZcA2+rYq+ZOGJTq5xl514LAjkaxleY3WSykmjT0NmrpatKirTwB6EK05HYIpTin3PNGHIJGxb2rSUWjKIydNA10Gq9TqutCCroJQvPA0LYdpoOHMGUfhnNcO2PXhiMAuL5iplpqtskSuJgZsczUgqKpvDCImKmTmoG2gbR62JkxP7NeMRZ2vO283OPxhaQ98pPXF+xHvtrqdU+gvw5ox85lR/nm3+u5riSE7iYdWhSOaa0sDDNy/dODOJWU593GsNWKcbe0X2qs19sQBOHMQt/eltFkOuKbZUY1m1ErKovm1VvMVP0JpGVGxExtaKSdgTfMmJ9J/6ersnCeX7iLjMcWMGN+ZsD26Yv1wxOB6ry8dM8pr8a1Nym0X3aaZZ/tpuBEKUZUNhnMzI4s5+OoCrYZjKz836P0/uAtr7Y3KWINBtyfLNYfzA/4MbETbtB5bBAp+JdSo5m0R37ySWwLLQ97rRljtm9ixm6VgYZbZiQ1O4goUjSvTmbMz3Rb0C3QgbbeZgp5wu7eMTfQ6lZfNxfA0Ao9ZrOVuJRwup7bmr8u2oax8ncfX36Ks3O2cnr5LvqdOkBsRQH5hmgPMTIqekXlwb8/ymwPqd1QdUxM8n0WhBaFwW6Z8TFmxh4vg1aLYqhfjJ1SrdGkpGYHC7tlRgKA3eKNdWTWsgP8/cIMv+/bWxeRJ24fnt7gDBpf68g4UCFKhXJFZcSdPejRN5kykwXjr9tsjR0VhbzQRBamjmRh6khCLSVMCFnGh+axgBXVyaBqi5O5xYf6OfWasyAIzRZ9W1t6tvFwtk/rVQ/+VXxINnBHoFOzxc1UC83ZMtMY5mdvrCP2QFt3NCTOpr4uIo0Cd57nnzoz9bIOVY43Ad9FmEjuEouiKLz4c6ZNyLihXBvOB+axTDQsIZwKp9c0iuLz+2mIRctfrHt0dLCnIAgtBnutGcvJU06uo7poeCYTjdY1u0mJmeeeew5FUXjggQcAyMvL47777qNbt26EhYWRmprK/fffT0FBQeNMSCwzteKtdcTdOHdxNtWf18XEIWlovLhRqD7m4bHd2Pn0xfUWMj0eX+gkDOttHVKgvNovr2D9Rr5eUhnL4vbux7ZsjnEUJVTVemjo+/En9symrOcukcJ1gtDE0MTEoIm0lYAwHT3q9XqOgnn1rTEDLa/OzNq1a5k5cya9e/d2LDt69ChHjx7lxRdfZNu2bXz44Yf8/PPP3HrrrY0zqWZsmWkMvLWO1Bz34sKdzFx6wMVCUP15XdYkg05Dz7bRtY7p1z6GDY9d4HhuL87mL7x9/9HVtXA1rRJTUUzhE//Hz1MeIz8kqo6aMYpLZ2x/vx9BEM5MFEVB39YWBOxL3IxfLDM0TtfsJnEmLC4u5oYbbmDWrFnExcU5lvfs2ZOvvvqK8ePH06lTJ0aNGsWzzz7LDz/8gNkc+Mh9xd5JVBUx4w5vrCP2QNvqeBOzUZfLacb8TLYcLqx1zOsT+vn9Yl/dfXfVgHZoFXBRGXZU2/svrNF3UWc1cf/eL/j416eo+Gk+eX7oSO0L3li0goHduiOZUILgf+w9mnwpnNfgGjPQaF2zm4SYueeee7jkkksYM2ZMnWMLCgqIjo5Gp/Nsyq6oqKCwsNDpUS+knUGtGHQabh+eXusYe6BtdbyJ2fhinecfnLdp2fWtdeNNjFGsRWHtl3u5tKQywt/de6psnmgnjkL+L+cjflgyjYu3rUZnUtmfDD8NL6nXPOtL9TkJgtAyMLSzW2aOeL2OvZWBUt8mk+CUmn1GZzPNmzePDRs2sHbt2jrHnjp1iqeffpo77rij1nEzZszgqaeeavDcpJ1B3Uwb1wOTxbVBoEahQQ0dD+d7DlLzNvD2m41HuHtk53rt3xOnjxQzvkRPV5OW3SuOg76uNVSGaLZzU8lCum8+QNnxEADyw+HTERryhnRl2+a/eLXv2oxA3tKzbbT7PlCNgLcVg911OhcEoWHYM5pMR3wQM46YmfqLmeqp2WesZSY7O5spU6Ywd+5cQkNDax1bWFjIJZdcQo8ePXjyySdrHTtt2jQKCgocj+xs39LRHNjbGYhlplamjnVOvbYHpk4Z07XeGVXtYj0HnHkbeLtw23Gf9ukRFdqbNFxdbOCXV7aQYdKhQaF19zh+iqhs/ujWdaPy4/LNvLjtTdJ+OULZ8RDMGvhukML9t4ezoNWVPDvqIzAneDWNm4fVblHxxhKVebSQ4vKqY9FY1Zq9xVMBxobU8xEEocrN1OgxM40kZoJqmVm/fj05OTn079/fscxisbB06VLefPNNKioq0Gq1FBUVcdFFFxEVFcU333yDXl/77XBISAghISENnp+iqdR6Ypnxibq6IGuUul1N1wxs5/G11tG1C187e06WNOwiqEJnk4ZBFXraWGzfBUUD27Vm1oSaSQ8p81Bv145CDnH8mdeb3uo+1nZRmDNKwyFNXyqyLwNrBF+s8+4u6c7z0pkypmutFpVPVx+qcztWFQb9e7Hj+fMLd/HCL7scz+2WkIbGGtWn03RtBRhre9/S1VoQ6sYeAGz0xTJT5o8A4ErO5ADg0aNHs3XrVjZt2uR4DBw4kBtuuIFNmzah1WopLCzkwgsvxGAw8P3339dpwfErYpkJCN7EbNR2MfWlOWRdwcbuat1UGG1NH88v0zHAqCPFomBCZaPBzLiH+/NThImTWpU1Wae9msOexCievl7D85clsi//fiqOTQBrBABvLtlX67p/v6ALu5/xLv36QG6xV/OpqSOrC8vGaEXhDn+0pxAEwTP2mBlrQQGWoiKv1rH6OTX7jI2ZiYqKomfPnk7LIiIiSEhIoGfPng4hU1payscff+wUzJuUlIRWq3W3Wb9RVTRPLDP+ZOrYDPRaDbOWOadne2OxgdqFTk1q296M+ZlOF9DnF+7ixYW70FmhQg+H9DahY6jUO0YNPJdgF9P2DdedGvTJKCPminEY952Lrz85b60kM+Znem3lqYtAt6JwR0PbUwiCUDuaiAi0cXFYTp/GdPgw2u7d61zHIWYaEgBMC4iZqYsNGzawevVqtm7dSufOnWndurXjUe84GF9wFM0Ty4y/mTauh1MNmIfHduPPh0c22v7tLo2aF1CLChU19IlRY3sAaAoOcY1mCbUEylRDRdGWUnr8Goy5IwjUvYP9vfhbC8xadqDR4mka2p5CEIS6ccTNeOlqUkv9kZrdgurMVOf333/n1VdfBWDEiBGoqur2kZaWFvjJ2AtyNDEx05A2AMHC3ZyrWxwmDUtzGj931SG/vy/79hwuDQ/p1J6CeSMpJfq9QZyr3eb1Pm8e3B2s/qkj464bdSDdM7W1ovA3vrSnaC7feUFoaji6Z3sZBGwtsZWN8EedGQCz2oLETFNCaYLtDDxle9hjHOxF3Xo8vjBYU3TLuc8vcfz//MJddH10ATMWVMVlvLhwp9OYV37d41Xshi8F4OwBsh+tqHRp+FQ8TqGYcN4yX86p/NorD9sZkp7okunlbwLtnmksi4m37SkgeHE9gtDcMbT1rdaMPbZGE+XdOc8dSjXLjMnSQnozNTmaWDsDT64Re4xDUz65u7vgzllZ5Sp8f/nBer2vjJRIr+dw6HQJ+zeeZMv8LK/Xqcl75ZcwcNF2EsvyPTaGBJtOmn3rOfXej526srECLTbq29CzLmr2cvKmAGN1msN3XhCaGr6mZ1srxYw2yvvzrAvVU7PFMhMcmpJlxht3QmPGOHiDv+Yyc+kBR62aUqPZyeq087h3GTwAuo0FLJi5lbDi+h/PEn0421qlc27Bd5WWHfeC5o7zbJWPG1of5cMVB2v9HAMlNsB9K4pAMm1cD+48L90na1tT+84LQlOmqnCed2LGH5YZBwGuACxipjaakGXGG3eCVfWu1khj0Rhz8crFokKUFVqdNKEzaDistVRqkPr5Z54fOZDvO4zllmFpaNw0h5w4pD3TxvVgxvzMBlfarStuxRf3DMAtwzp4Pd5dK4pAUzMwvC4aM65HEJo7jpiZI0dRa7Es2/G7ZcZq9mq/9UHETC00pXYG3roTDp1uOlkhTWku55fp6XFeG87/RzrHEpYzLPLHyld8/2EVVpyNtSKFqWMz3F54p4zu6tfA3NqOva/umZpzPictziV0SKPYivQ1Vlp2TXwVUJIJJQjeYS+cp5aWYjlde50s1WKpCgCObohlxvkMY1EDcz0Nem+mJk0TajTprTshNS5wbgdP1DTzG81Wwg3BmYtbFJU/U39kuekPlF8stAmFqFMqY4pyWRt2OQWG2GpDragoToWeasPThdefgbl1HXu76KhZt8cT1ef84S3nYDRb6TvdFlT+8NhufqkA3JgE0tUmCGcSGoMBXatWmHNyMB0+jC4+3uNYa3GVC18b6QfLTOW5yWQ1odP4X3o0nzNWEKiyzARfzHjjTtAo7qvjBjKVtWZ2FUD/pxcxY36mT5V664W2EEVjpE7rigocPYeX3zYx50ULL7xvYcr3Vv6+ZCtz5z/L83++w/0bP+PJk0v4W2SuX6bmL2uBt3ErNd0zD47p4vU+aqbINyUh4813vjHjepoazbFMgxBcvA0CtsfLKKGhKAZD/XdY4zccqFozTees1RSp7M3UFIrmeeNO8BTjEKhU1rqyq15fvNuv+7OqVrYeWUtf68dcXjydew8+zYT98+r2FCkK+SFx5Og7olGhRB/K9vg0Iq+6iqT/+z/e7n0Fb/S9hmvfeY77Hr7Ra6tMYwTmTh7awWtxUX3cDYMDLCQbibpaXwQjrqepUFeZBkFwR1XcTO3p2VZH8G8DrDI4p2aDiJmg0NTaGXjK9qge4+Ape6Z6Kqu9Fk19ulnb8SYmpHpfpLrusN0FpmoU2/L04n1MOvguSy89m/BLbmHG95v426+FDN3bmQztxQyo8M5kufuGe2j762KuHvc0U8+7l4QnniTquus4GN0aVfH9p1BbgLO3gbk/3z+81tcDXaemqTN1bEad3/mWSHMu0yAEF4PDMlO7mLEU2oN/G5jJVC0AGETMBIcm2M7AXRuAnU/bGhEazdY6Gyv6K5XV2+wqO3W1Kpg6NoMlfx/heD4iLZqfOhzgwpdu4e1f3+H6jXtJzzais8Kx2GSWDryfjX0foCgqlc4m74JT2vTshq5VK68tL3VRW4Czt4G5EaG+9RerWZ+lJVDbd74l0hzLNAhNB0d6dh1uJmuxXcw0sIK5Q8zY/gYqPbtlnA3rSVOzzNjxFOPQmOnbvsaE1OUKeHHhTich9ntWIdvK4vib0oGztdvY1CGc1hdfihIxjsw1xehQACs9IxYxKfxTlpqe4ThxqB70uT22wuxHYVpXgLOvgbnusAdTt3SaclxPY+Pt73zOyixuHd6xcSYlNBv0jirAdcTMFNrdTP5px2IXM2KZCQZNqGieNwQyfbuma8rfGSTv/5mFtcYZ+lRoDM+cM4nrLn+IjzOe4diRMexeU4IOhXaGzUxInML5Ue9yUImli+awLQvJA4GIrVi840Sdd78NCcyFqmBqQbDj7e9cUtYFdzgCgI8erdXrYC0qBEAb7S/LjI1AVQEWMVMLShMqmucNjZm+7W12lTdo7D+omu6fyudac2suKzVQnG8iUnOSsbH/YVTsc/xMV/JvXMglxn+z1NoHd82WAhlbse5QPv2mL6pzXEMCcyUGQqiJt79zSVkX3KFPSQatFtVkwnzypMdxjuq/kQ21zDgHAFsCZBwQMVMbzcwy05D0bV/xJiZkYrUL99xV7l1bnfIPY9VoPMexKAolGoWjOiMDIz7nmrP+y3vangwyvs2/zLdhTumLp46RD47p4nNsha/tBxpaSsbbuAZ/xUBI+m7zx9vfeUtOWRc8o+h06Fu3Bmp3NVntAcANtszY/9j+CVTRPBEztWE/YwSyLbEfMeg0PqeyNiSzadq4HtwyzHV/GgV6t4tmTjUB88qve1zGXbZvGVfu/cOrfVVErqL3g3dROukHPreMpJTQOte5YXCqT66lFxfubHD7AcCnwNwLXlnq1biGlO2vfuF7fuEul7pAQvOiIWUaBAG8i5uxFPvHMqPUcDOJZSYIKNrKTJMmFgBcG55SeQPlbqm5v4fHduOWoelsOVzoWQOqKjdlLuCurd+RWF7o1X6+5hzUVme5LPdk8akPdWWCBQJfdHJ9YyDcpe8KzRtvyjQIgicctWa8sMxomknMjGQz1UYTKprXEBqzRP2EQam13/mrKpGmMq7d/RsAW87KIlJzmmJLrFcp06/VKMTnzuJTX5r6Rd6XGAhvXUlGs1Xu4Jsp08b14K4RnZt1KwohODhqzRw56nGM+XQeQK0tD7zCUTSv0s0klpnGp7lZZkqNZno8vtBleWOmsn66+lDtokBRKDaEszWxI7MuUjirQwRXlZoApc4AlBcX7mTOymyv51JT+DRnfI2B+GJd7WmXdppSl3XBdyRlXagP3rQ0sOTaxIy2oWKmEimaF0zOEMtMY+Jt2vfng2PoFXYBpw89S6vyDlxRYcDgoQKwHV/dQHNXZZ8xwa6+xkAczi/zalxT6mwuCELj4E3hPHOeny0z9jozkprd+DQ3y4ynTBxfM3Qagrdp3+1MV1F6+nJAwx6dhX9NG8Lvj1RVCbZnIlWPyfHVDeRr0Ky3qeSNSX1jINrFhnk1rsl0NhcEodFwBAAfP45qNLq8rhqNWAsKANAmJDRwb84nVnEzBYMm2M7AEzPmZ3rMxHl/+UGm/7CtUeYxoX8S4UoFHn1GqkqYFazWCPbozHwfXsG3EUYi40Jd6rH4w2TuS9BsXZlg4Cp4fBVAvri+pl7Qtd5l+68Z2M6rcQHvbC4IQpND1yoJJTwcrFa3QcDm0/m2fzQatDExDdtZjUaTkpodBBxF85q4mPGmV8sHyw+6dbkMfGaxX+bQTTnEE7rZxLzTi5d1b6MACjX2p6qAQpkGfoow822kiV0Gq6cyMX7Bl6DZqWMzmDSk9ot79R5TD4/t5lTdN3P62Dp7JvkS83NLA9JrY8MN3Hle3b2hJMZCEFoeiqIQkpYGgPGA67XDcroqXkbRNPAcoTj9EctMUFDsMTNN283kTa8WFbjp/dX+3XFFMdpNH/ON4XEWhjzCzbqFKOUFXBh/nIs0a9CoNSflWbV4coVVF2C+ah53QbPVt1ezgNyLC3c61cZxR3MKuKwtfVcQhJaNId12s+NOzJhzcwE/xMvgWmfGpAam0WTTPRM3AZpLOwNvXSmr9uf5JSBWObYJfngAXsogZP4U+mn2YlK1zLecQ/n1X1B+9wYWWAdx1/YfuOX4ScaV6Am179bDhfTDFa6WoxnzM53SvH3NnL5hcHsnsVFzezULyL2//GCTT8/2FXcdp6s/b4q0xM7ggtDY2MVMxX43lpk8P2Yy1XQzBcg4IGeK2tA2j3YGvrhS5qzMql+cRHkhN2oXcb12CWEfZDkWW+M68nzOIL6ynMcpYsjsOAqA8TnZRKVcTpgunEK1nPI6ZLNVdU4nfm3xbp9cMu6YMrqr4/8Z8zOZudT1R9tQ8WK/8DZlalqTas7Z18rPgiA0f0I6No5lxo4tm0kNWMyMiJlacPgKm7hlZuKQNJ75aYdXlgufqsiqKhxeC+tnE7b9a57R29ZVtQaU7pfBgEmUtxnCzCd+caxiLDOzYs42MgxdMQNmSxbzY6OBurNrqqcTz13VMCEDVW0FvIkpask0B0EmCIJ/cbiZ9u93ec1RY6bBmUy4FEMVy0wwaCaWGYNOw+D0BFYeyK1zrFdWnNI82PI5bJgNObZuzQqwx9qWeZaR/P2BxwmPTbaNrXZX39as4bvn11OcVwGqldiTC3i6Z1vKjclevY/9J4sd//vT3eNNTNGZgIgSQRC8xdDBlr1pKSjAfPo0urg4x2vmvErLTIIf3Uz2bUs7gyDQRC0z7i5as289h66PLqh1PXtArHu3gorm4HLY8jFkfgeWCttSXRhfVZzNp+aRrFe7Agp/D0+ouSrnVOgYXq6jmApCy07RdfeHPDkylXJjN8e+6xIU6w/m1z6gntS3p5EgCMKZiiY8HF2b1piPHsN44ICzmDl5EvCTZcYuYwIcMyMBwLWgNBPLDNisM+46WFfn9uHpvPTLTpfeSRGU8aRuNqFzL4Otn9uETHIvGPciZfdvZ6rpb6xXu+Euere82MSVJQbOL9ejQSEpZw3nrJvB1z2N7LNe6hjnTQ2XQOFLTFGguWVYB8kmEgShSRCS5t7VZD52DAB9mzYN30mN1GxpZxAMFHudmebho/DUMRuq2gLMXHoAa42U6VJCeMo8iZ/UYdD/Jrj9N/jbMjjndgh1LZhUajST9shPDJ26gG+fX08nsxYzKglHPqNn5mz2dtLwTeLfqC5+po7N4Jy0OJdt+Zt1j452WTZxSFqTERBTx2Y4ZRM9OKaL4//M6WPJnD42GNMSBKEFYujYEYCKPXsdy1RVdTSg1LduuJhRpGhe8KlKzW76lpm6uG14R/63bB82W5/zlV1Fgwrcb7wb47jXoO2AWjtYz115kIHlWq4vNlBWYCRPY6W04EP67FlKUbhCl+ffBNU14HdvTrGbrQUeg07D7cPrLiDnzmoSCBFUs9KxUDeSri0I/ie0e3cAynfscCyzFhVhLbW55vWtUxq+kxrXErHMBINm1M7AExqsjNBsZNPsf2BWNXguPadgURWvehm9sngvOw0W9umtpPZNZJNmAZdtXAdAyYOT6djpbJd1isvN5JX6XizJX2LCmwJyNa0m4Fzxt77IhVgQhKZI6Fm2VinlmZmO65y9+aQ2Ph5NmHc93mpFLDPBJxiWGbsLJ+2RnxpU/6M1uUzRfsWykCl8aHgB06l9Xq1XM1jWU2XeYgW+Czfya/gRxu7axdK2fflf/7Ppf9UDbsc/8tUWn+Zvxx9iwo43BeRqVvRtyhV+BUEQGkJIp04oej3W4mKHiKmorDtjqGx34C8C3c5AbhNrQ9vMLDMWExdq1nK9dgnnazajrZTCp9VIrG0HQVbdm6jebdlotvLhCvfNK23fTJXvt5v5bsBdjsVfP73IbbDvhkP53r+PavgqJupKT65ZQE4QBKGlouj1hHTrRvm2bZRnZmJITcV4IAsAQ3qan3bibA43WaWdQaNTVTSvicfM5B2AxdMJe7MP7xleYZR2E1pFZaWlB/cb72FwxZsMuv5hr1w2MxbsZMZ8W22ZuuuzKKiK81fIquK2e3d+WWC+wIEm3KCToFxBEM5YQs86C4CyjRsBMO63WfFD0uuOM/SOGqnZUgE4CDRly4zZCDt/tBW22/87AFZVYZF1IPMtg1lt7cYJqmoE2INg3ZX0r44KjjGl5VLmXhAE4UwmYsgQ8j/7jOI/l5MMlG3bDkBIZXBwg2mkrtkiZmrBYZlpSmLm1B6bgNn0KZSeqlyo8HnUjTxxajRlqsHjqtPG2YK9Zi07UGe2+X+XHWCCJsJPkxYEQRCaIhFDh4BWi3HfPsq2b8d06BAAYT17+mX79tRsscwEk2piRlXVqoPS2JjKYcf3sP5DOLi8anlUa+h3Iy/ln88bawrr3Eyp0VynZcaORYWKAiOR4bZgX49JUI3ILcM68OEK587WGsVWkM+da0sQznSkhYXQULTR0YT17k3Zxo0cnz4dgJAuXdDGuNYYqxeOdga2E3egUrNFzNSGplo8iNXqcDs1FkrODtj6MWyeB+X5ABzX6dnQqh9hpi50bH8eiV2G89bbm+rcltFsJdyz0cYtFZE6ruqfzOwNh+se3AhMHZvBbcM7MvS5JY5lGx67AINOE1AxU/2CIR2mBUE404i+aCxlGzdSvtmWdRp1wRj/bVwsM8FHqS5eLJbGETPGEq7R/s712iWE/XePY7Eppj2vtM+g/OcdXD7vMAbzYUpZwg+JnbCee5fn7VXyyFdbeX1CP5+m0vOCVG4cnlYpZpyL7SmqFRWl1uJ69aW2Pk6SOi0IguBfYq++mryP5mA6cgRNdDRxEyb4fR/2OjNimQkGmirxolqtgfW0HN0EG2YTtvULXtAX2fap0aF0vQi1/2SeOL6Y1m9/z/hNtm9EblIIhRojp3VRXm1+6Z5TLj2ZPKLajFKTz++IuTJeSJ/wC3/dsJ+UnCgiwjQ8nXE1Jp2Pph4vacluI3EbCILQ2GgiIugw92MKF/xM1KiR6JKS/LdxxTkCWCwzQcBRNA8Ck55dXgjbvoT1s+HYJts+gSxrMp9ZRnLf3x8nPL4t3+75hsLvfmDiJhVVo6HN09NJvfQyej47l9aaP6Hcu9151WKqcsztw9Mx6DSYjVb0sau44tBirt9oxaTRkPThRzz+9fH6vONa0Si2/U4Z07XJihkRG4IgnInoU1JIuHmy/zdcw83UItoZPPfccyiKwgMPPOBYVl5ezj333ENCQgKRkZFcddVVnDhxonEmpHW2zPgFVYXD6+C7e+GlDPjxQZuQ0RrgrCsp/+s3jDS+xDuWyyAymRJTCbP+fIXJv9r232rKFGKvugpFUVCNSRwtvxyNpty2XT+gKHDn+emOzKcl2YsZUP4Nkyr3/36PS9H3OMsv+6rOw2O7sfPpix37bQpkTh8r7QcEQRAahL2dge0adcZbZtauXcvMmTPp3bu30/IHH3yQn376iS+++IKYmBjuvfderrzySpYvX+5hS/5D0fjRMlN2GrZ8YctIytletTyxK/SfBH0mQEQCVqMZlYWOlz/b9RnDlp0iogIMXbuScNutNTasYfKQbry/PMsmaPwQw/L3C23dt389+Ctv/PhPpn9rQavCr+37822n4TzqYb3aYl3qen3SsLQWGf/SGJYesSYJghAsal6Szug6M8XFxdxwww3MmjWLZ555xrG8oKCA//3vf3zyySeMGjUKgA8++IDu3buzatUqBg8eHNiJVRMzan0sH6oKh1ba3EiZ34K50h+kC4UeV8CASZA6xKMAsapWvtvyGY+vs+271ZT7nYOSK5k6NgO9VsOsP/dgtTbskKrYKv+2arOdVxY8yhOfGIkqh12x7Xij7zW1iqW6Yl38HQuz7tHRDsuJXKwFQRCaIC3JzXTPPfdwySWXMGaMczrY+vXrMZlMTsszMjJITU1l5cqVHrdXUVFBYWGh06M+KBpN1YEw+3AASnJhxZvw1jnwwcWwZZ5NyLQ6Cy5+Af6+E66cCR2G1ioO1p1YQ4d1hwk3gq5DKpGVgs4d08b1YMOjF4Om2Pt5euCH/fN5fuE0pn1qpFUBHIlI4MnBt2LU6mtdb+rYDI+dqe88L52pYzMaPDd/YzRXuQ9nL89yei4IgiA0EIeYqawzo56h2Uzz5s1jw4YNrF271uW148ePYzAYiI2NdVqenJzM8eOeA1BnzJjBU0895Z8JarVgNtcdM2O1QtZSmxVm549gMdqW6yOg55UwYDK0HeCTG+jXQ4sYvcm23/hrrqmzaJ9BpwFrJGDF5qesn8vp5PFfeOYbCyn5oCanMLXfHeSHepc1NW1cD+4a0Zm+022ZUw+P7catwzti0GmaXI2WFxfudGqk+fzCXbzwy64gzkgQBOEMw1E0z8YZ6WbKzs5mypQpLFq0iNDQUL9td9q0aTz00EOO54WFhbRv375e21K0WlSz2bNlpugEbJoLGz6C09Wq67bua3Mj9bwaQqPrsWcr27cv4YajoGoUYi6/3Id1Ndhses61YWzKuEajDCdUQsjn5U/2El0Bf3QfzkvdxmOqYcB7bfHuWvdeszN1U42Fcefy8irjSxAEQagXZ2QA8Pr168nJyaF///6OZRaLhaVLl/Lmm2+ycOFCjEYj+fn5TtaZEydOkJKS4nG7ISEhhISE+GWOilZrkwXVLTNWC+xbAus/gN0/g90HaIiC3tfaREzrPg3aryb0CJ235QIQ1q9fPfL+XdVKlKrQo6yU1eFhbsaooMI/1nxHdIXKkoHj+E/bkW63M2dlto9z8Y3qrp65qw4FdF91zcPXqsmCIAhCNZzcTMqZWTRv9OjRbN261WnZzTffTEZGBg8//DDt27dHr9ezePFirrrqKgB27drFoUOHGDJkSONM0t4522yGgiOw8WPYOAcKql3Q251jEzBn/QUM/mnOqIvczdkrbWaC6DEX+Lz+LcM68MHygzgZGqwWRu74jgssFbzT+wpyw2IdLyWV5nPn1u8YdmonMXf+jRdzOkMQrBQz5mcya1mVheuVX/fUMjqwfLr6EHeN7Oz37Up2kSAILYcW0M4gKiqKnjU6c0ZERJCQkOBYfuutt/LQQw8RHx9PdHQ09913H0OGDAl8JlMljuyh7x+A/KWgVloNQmOhz/W2tOpk/9VGsVsl9EYFc2lHLOwnauQIn7fz/vKDLl6mIq2G5wZcz0MbP2H2wmfZntiRvJAo4iuK6FBwjLaXXUzyXa8w54AR6087fN7niwt38vj4+ndanTE/s9ZGmC8u3MndARAXnjh0urTR9iUIgnBG4rgGtfBGk6+88goajYarrrqKiooKxo4dy9tvvx34HZ/Ogg1zoOI0oKAe+BNirdDhXJsVpvt40IfVtRWfqG6VKCkcxb+GjSK+vIBrtpcyLc3HjdUQMoDD3Pdyv7/yTccRtCrLR2e1cCIinqzoFLY8cQkGg46D67fVa/4frjjIIxfXT9gZzVYni4yn7d8/uqvjeaAL2nVOigzo9gVBEM50lJbaaPL33393eh4aGspbb73FW2+9Ffidm42waz5smG2LiUFFIRnQQu8JcNkUSOwSkF17skrkhUQzc9kBUPCtOm5tiUyKwoHYthyIbev25Q7x4d7vpxpW1VajZsKgVJ/X/XT1oTqDb62qbVxDCDfo2P3MxWQ8tqDOAn8Th6Q1aF+CIAgtHns2kxpYy0zTTDNpbHL3waLH4ZUe8MUk2PcboELHERCRAIB69t8CJmRqtUpUfhFmLTvgVQ2UED+USZk4JM2lVoy3HMyrn2vGW5eOP1w/Bp2G24en1zrG3ptKEARBaAA1SooEyjLTcs/WpnJbe4EPL4U3+sPy16DkJEQmw/C/w/2b4KbvUEIrXQ2WwNVImbMyyyurxJyVWbWOKS82Maqs9sJ23uDNxd4T9bXqpMZ5t5634+pi2rgetRb4a0o9ogRBEM4Uzsg6M0EhZ6fNjbT5U1u/JABFA53H2IJ5u46FapVu7QHAfms06QZvrRm1jTNVWPh15jZ6mLQstZooqaNm3opHRjL0uSUeX7dfzGctO+B17RW7a8Zcj89qwqBUXvhlV52unwmDUnl+oX8K23kq8KfT2BqcCoIQGPR6PVo3rVmEM5DqlhlVbbkBwH7FVA7/uwAqKtsbRLeD/hOh340Q0879OtVTswOEt9YMT+OsFpVf3t/OyYNFVCigqNRpc/ti3eE691fzYl8Xk4d2wKDTYDb6Lmbs1qDaspkC4fqpWeAPq5k9+w5gDaB4FQQBYmNjSUlJqbOyudDMqXZ8Fc7gdgaNij7U1p268IjNCtN5NGhqvztwpGYH8OI2cUgaz87fUb+AVBVWfLaHrK25aPUavg4po1hrqzPz4YqDHrfpbf0Wd+LBU/drX3ovZU4fC0CPx6s6hHuyBmkUm5Cxvx6oGi2qqnLs+DG0Wi3t27dHo2m5XlhBCBSqqlJaWkpOTg4ArVu3DvKMhEZDFTeT/7j4eZ/6I1VZZgJzAKCmVcJdTrVnq8Swch17Vh1HUWDE5O4898U6wCYsbhvesVZXUn25/ux2fLLG1bLT0DozUHtvp0BjsZgpLS2lTZs2hIf7JzZHEARXwsJsZS1ycnJo1aqVuJzOYJQalhkJAPYXPpo0HZaZAAYAQ7WAVI1zrIangFSj2Uq6UUOcVeGQzsLQ67uS2ivBaYy/BUDm9LHceV66WyEDtkJ9M+ZnNng/wertZLHYrG8Gg/QwEIRAY79hMJlMQZ6JEFCqixmxzAQRXaVlxhL4GIpp43pQeuhZen5cwMGoBKL++Zhbq8SM+Zm8v/QAJgMcMNjm9cXPm5lcmB/Q+XlT2G7WsgPcNaLxqvT6lco6COLDF4TAI7+zFkKN4ywxM0FC0djFTGAtM3Z0WQfpfSoXs87IX9xYJWbMz2TmH5WCotp3xKq67wLtTxpa2M5dTyLpUSQIgnAGU8MyI0XzgkSVmynwlpkKSwVRh23p4llRrtV5jWYr/13mKmT8wWOXdK+zPUBjFrYTBDuTJ0/miiuu8GrsiBEjeOCBBxzP09LSePXVVwMyL0EQfKfFtDNocmgbzzJzqPAQ7U/aTB8HIl1bAny0IguL+/jgBuFt6f7GLmwnCA1l7dq1RET4p5O9IAj1oEYAsFW1YlWtaBT/2lLEMlMHjZGabedA/n5Sc2xi5mC0a7rizjXHvdrOTUM6+NSE0V4fpi4mDEqts82BvbCdIFTHaDQGZb9JSUmSmSYIQaV60Tzbn0BYZ0TM1IUu8KnZdo4d3kl0GViBQ1HJTq/t33QSbVaJV9txV1xv4pD2HoWIt/VhvO1pFBtuIOu5S8h67pKAd7YWbK6V++67jwceeIC4uDiSk5OZNWsWJSUl3HzzzURFRdG5c2cWLFgAwIcffkhsbKzTNr799luvAzKffPJJ+vbty8yZM2nfvj3h4eFce+21FBQUOMbYXUPPPvssbdq0oVu3bgBkZ2dz7bXXEhsbS3x8PJdffjlZWVmO9SwWCw899BCxsbEkJCTwz3/+E1X1sgS1G2q6mRRF4b///S9/+ctfCA8Pp0uXLnz//ff13r4gCLVT/bRi/zcQGU0iZurAHgAc6NRsgNJdOwE4Fh1Oha4qPTj/RCmLP8yknVlDaB3ndU8uoymju7LhsQsaPMdp43pwy7AObvd7xvU0UlUwlgTn4eMFfPbs2SQmJrJmzRruu+8+7rrrLq655hqGDh3Khg0buPDCC5k4cSKlpf6JZ9q7dy+ff/45P/zwAz///DMbN27k7rvvdhqzePFidu3axaJFi/jxxx8xmUyMHTuWqKgoli1bxvLly4mMjOSiiy5yWG5eeuklPvzwQ95//33+/PNP8vLy+Oabb/wyZztPPfUU1157LVu2bGHcuHHccMMN5OXl+XUfgiBUUiMAGAITBCy3zXXRiKnZ6gFbFlB2TJxjmanCws/vbcVYbqFt51huygjjvT+9K/lf3SriTwvJ1LEZTplTjVnYrlExlcK/2wRn3/86CgbvYz369OnDo48+CsC0adN47rnnSExM5Pbbbwfg8ccf55133mHLli1+mV55eTkfffQRbdvaAtXfeOMNLrnkEl566SVSUlIAiIiI4L///a+jbs/HH3+M1Wrlv//9r8MK9MEHHxAbG8vvv//OhRdeyKuvvsq0adO48sorAXj33XdZuHChmxnUn8mTJzNhwgQA/v3vf/P666+zZs0aLrroIr/uRxAE3NZ2C4SbScRMHTRmarbu6CkAjkQm2fapqvz+yS5yj5QQFm1g7G09uTI2BEVTd8n/xqQxC9sJ7undu7fjf61WS0JCAr169XIsS062uS3tJeQbSmpqqkPIAAwZMgSr1cquXbscYqZXr15OBQg3b97M3r17iYqKctpWeXk5+/bto+D/27vzsCjL9Q/g31kYYGDYF0URVBSRQJOSwMx9wzwoJ/GoIRqaO5pmYmVYZnL6mekxRY91AM29kmM5Rh6PHBEVBcE0ERFRLFFyYZdlZp7fH8O8MuwDMwzL/bmuuWreed/nvecRZm6etaAAubm58Pb25l4TCoV46aWXWtTVVFP1ujIxMYGZmZnW6oUQUgO1zLQNPKFup2aXVsiq9idS4LO8YgDAH8bK1oCb5x/gZtJD8Pg8jJvrDhMLQwDaW/L/+ifjaExLQwzEyhYSfd1bk9MNDNSe83g8tWOqlhCFQgE+n18rOdDFKqw1ZxEVFxfDy8sL+/btq3Wura2t1u9fn7rqijYWJUT3hDwhADm1zOhFK7XM8ISFsH+i/ED9w7g7rOQ8JH2fBQB4xb8XuvW1VDtfX0v+dyo8nkZdPe2Fra0tioqKUFJSwiUcaWlpGpWRk5OD+/fvw8FBmXhfuHABfD6fG+hbl0GDBuHQoUOws7ODmZlZned07doVSUlJeO211wAAMpkMKSkpGDRokEbxEULaiGotMwK+AIBcJy0z9A3YiOeL5ul2NpNQ+Ah2VZNBHojt8HqpCPJKBbr3s8SLY2iqM9Eeb29viMVivP/++8jKysL+/fsRHR2tURlGRkYIDg7GlStXkJCQgNDQUAQGBnJdTHWZOXMmbGxs4O/vj4SEBGRnZyM+Ph6hoaH4/Xflfl/Lli1DREQEYmNjcePGDSxatAj5+fkteLeEEL2qnsxUpRw0NVsfWmkAsF3FHxAqAJmQB3eeDezlfBiaGGD0nP7gNba4CyEasLKywrfffgupVAoPDw8cOHAA69at06gMFxcXBAQEwM/PD2PHjoWnpyd27NjR4DVisRhnzpxBjx49EBAQADc3N4SEhKCsrIxrqVm5ciWCgoIQHBwMHx8fSCQSTJkypblvlRCiZ9W/vYQ85fepgmn/+5S6mRrRWlOzu5UoF8T7w2kQXqpQ9um/OqMvTMwNdXpf0v7Fx8fXOlZ97RaV6uNkJk+eXGuLANXMp6ZauHAhFi5cWOdr9bX0dOnSBTExMfWWKRQKsWXLlmZvQVCzLmrWQ10DianlhxAdqt4yU7XqL60zow+t1DLjUPIYlUIx7nYLBABcFsnQw8Nap/ckhBBCdEqtm0n5fUoDgPWgtaZmOxQV4GafqZDxTfGYr8D/jLU/u6Q56trpuiOp/v7Kysr0HE3b4O7ujrt3696BfdeuXa0czXM5OTno37/+pQeuX7+OHj1ofBkhbUq1ZEbVzUTJjB7oemq2ik2lMx7aDwbAIBVXQEbDZIieSKXSeqdq29vbQyKRaDzGRhscHBwanHWlmllFCGmbVEtEUDKjD63QMmOkACos3wAAOLqU4sEj7fT+1WxVKa3QznsQi4S4/sm4qvVxtK+jtwa1dU5OtberaAuEQiFcXFz0HQYhRBPVWmYMeEKA6WbMDCUzjeBaZnS40eSoZwLIDYwhLsnFKxM9ccfNo/GLCCGEkLauWjLDrxqmq4vZTDQAuDFV68wwHa0Qeu/aY/SvFAFMgf439sK6V1+d3KcuMYl3UCGjlU8JIYToBq+u2Uy0zkzr0+XU7MpyOS58dwsA0OPeKQC/Q2Cou6nYm+JuqD3/e1wG+q09gY3S6zq7JyGEEAIAQtVsJpqarQc6nJqdLM1G8ZNylKEEPe9IUWxppPV7qGyUXlfb6VpFwYBdZ7IpoSGEEKIbVa0zfD61zOiNrqZmP/6jGGkn7wEAnpb/DwJFBcpsJI1c1TwVMgV2J2Q3eM7uhGzqciKEEKJ9VcmMUIfrzFAy0whdTM1mCob/HciAQsHQw9MaJsVXAQAyWyut3aO6vefvQFF74VM1CqY8j5C2Zvbs2bVWK9al6OhoWFhYtNr9COnwVC0zPBoArD8C5YQvbbbM3LiQi9xbBRCK+PAO6A27kmLlC11stXaP6u4+KdXqeYQQQoimaDsDPeIJqqpIS1Ozy5/JcP5oFgDg5dd7wtTKCLbFzwAABl11s+iXk5VYq+cRoqmKigp9h0AI0ZeqlhldbmdAyUxjtDw1O+XEHTwrqoSFvRgDRjkCAGyKywEAxt10sxR7kI8zGtt4m89TntdUqoXt7kRMhFhEyxXp0/Dhw7F06VIsX74clpaWsLe3x+7du1FSUoI5c+ZAIpHAxcUFJ06cAFB3N0psbKzaFMqGrFu3DgMHDsSuXbvg6OgIsViMwMBAFBQUcOeouoY2bNgABwcHuLq6AgDu3buHwMBAWFhYwMrKCv7+/mqbQcrlcqxYsQIWFhawtrbGe++9V+fmkA3VxZIlS7BkyRKYm5vDxsYGa9euVSvj6dOnmDVrFiwtLSEWizFhwgRkZmbWWd6dO3fA5/ORnJysdnzLli1wcnKCQkdLNhDSoaiSGR2uAEzJTCN4Au1NzS748xmu/Fc56HfIX10gEPBRXvIM98Q9Ed9tIBIKbXUyCFck5GPe0J4NnjNvaE+IhPTjUB1jDKWVpXp5aPIFDgAxMTGwsbHBxYsXsXTpUixcuBBTp06Fr68vLl++jLFjxyIoKAilpdrpSrx16xYOHz6MH3/8ET///DNSU1OxaNEitXNOnTqFjIwMnDx5Ej/99BMqKysxbtw4SCQSJCQkIDExEaamphg/fjzXcvPFF18gOjoa//rXv3D27Fk8efIER48e1bguhEIhLl68iK1bt2Lz5s34+uuvuddnz56N5ORkHDt2DOfPnwdjDH5+fnVu4eDs7IzRo0cjKipK7XhUVBRmz57Nzc4ghNRP9WeSsGqdXloBWB8E2puaff7oLShkDN37WcLJwxobpdfxzZksyF5dqDzhEhCdfALzhvbEGr/6N9QDNF/yX1Xe7oRstcHAfB6adL/O6JnsGbz3e+vl3kkzkiA2aHq334ABA/Dhhx8CANasWYOIiAjY2Nhg3rx5AICPPvoIkZGR+PXXX7USX1lZGfbs2YNu3boBALZt24aJEyfiiy++QJcuXQAAJiYm+PrrryESiQAA3377LRQKBb7++muuFSgqKgoWFhaIj4/H2LFjsWXLFqxZswYBAQEAgJ07dyIuTrNtMxwdHfHll1+Cx+PB1dUVV69exZdffol58+YhMzMTx44dQ2JiInx9fQEA+/btg6OjI2JjYzF16tRa5c2dOxcLFizA5s2bYWhoiMuXL+Pq1av497//3bzKI6SzUQ0ABrXM6I22pmbfz8xH1uU/weMBr07tg4gT6dh1Jhsypt6035x1X0orZHAOOw7nsOMN7r+0xq8/Lq8dwz1fPc4VN9ZPoESmA/D09OT+XyAQwNraGh4ez7fFsLe3BwDk5eVp5X49evTgEhkA8PHxgUKhQEZGBnfMw8ODS2QA4MqVK7h16xYkEglMTU1hamoKKysrlJWVISsrCwUFBcjNzYW39/MEUigU4qWXXtIotldeeUWty8zHxweZmZmQy+VIT0+HUChUu4e1tTVcXV2Rnp5eZ3mTJ0+GQCDgWoiio6MxYsQIODs7axQXIZ2WqpuJT7tm64029mZijCHxe+VKv26vOkBiL36+7ks94xR2J2Rj5dh+Wu/6qV5e8BBn6lpqgLHQGEkzkvR2b00YGBioPefxeGrHVF/uCoUCfD6/VjdWfbtkt4SJiYna8+LiYnh5eWHfvn21zrW11c1MPm0QiUSYNWsWoqKiEBAQgP3792Pr1q36DouQ9oMbAKy7qdmUzDRGNTW7BX182VceIe9OIYQiPga/3lOjdV9ChvZq9n1Jy/B4PI26etoLW1tbFBUVoaSkhEs40tLSNCojJycH9+/fh4ODcgbehQsXwOfzuYG+dRk0aBAOHToEOzs7mJmZ1XlO165dkZSUhNdeew0AIJPJkJKSgkGDBjU5tqQk9QT0woUL6NOnDwQCAdzc3CCTyZCUlMR1Mz1+/BgZGRno37/+Fsq5c+fihRdewI4dOyCTybhuMEJI0/Fpbyb9aenUbKZgSDp2GwDgOdIRJuaGtO4L0Stvb2+IxWK8//77yMrKwv79+xEdHa1RGUZGRggODsaVK1eQkJCA0NBQBAYGcuNl6jJz5kzY2NjA398fCQkJyM7ORnx8PEJDQ/H7778DAJYtW4aIiAjExsbixo0bWLRoEfLz8zWKLScnBytWrEBGRgYOHDiAbdu2YdmyZQCAPn36wN/fH/PmzcPZs2dx5coVvPnmm+jWrRv8/f3rLdPNzQ2vvPIKVq9ejenTp8PYWLOWM0I6NdUKwDzam0l/Wjg1OzP5IZ7cL4HIWIgXxyinXtO6L0SfrKys8O2330IqlcLDwwMHDhzAunXrNCrDxcUFAQEB8PPzw9ixY+Hp6YkdO3Y0eI1YLMaZM2fQo0cPBAQEwM3NDSEhISgrK+NaalauXImgoCAEBwfDx8cHEokEU6ZM0Si2WbNm4dmzZxg8eDAWL16MZcuW4e233+Zej4qKgpeXF15//XX4+PiAMQapVFqrq66mkJAQVFRU4K233tIoHkI6PW4AsO5aZqibqRHc1GyZ5gOA5XIFLv6oHBvz4pgeMDJRflgG+ThjgzS9wa4mTdd9IZ1XfHx8rWPV125RqT5OZvLkybW2CFDNfGqqhQsXYuHChXW+Vl9LT5cuXRATE1NvmUKhEFu2bMGWLVs0iqU6AwMDbNmyBZGRkXW+bmlpiT179tR7/ezZszF79uxax//44w94eHjg5ZdfbnZshHRGPAAMz8fMdMiWmcjISHh6esLMzAxmZmbw8fHhFvcCgAcPHiAoKAhdunSBiYkJBg0ahO+//771AmxBy8yNc7ko+PMZjCUG8BzZnTuutu5LPeuJ0LovhLQNxcXFuHbtGr766issXbpU3+EQ0v5wi+Z14L2ZunfvjoiICKSkpCA5ORkjR46Ev78/fvvtNwDKJuOMjAwcO3YMV69eRUBAAAIDA5Gamtoq8fEEzZuaLZcrkPLzXQCA13hniIzUG8HW+PXH/KE9YV1WoHaczwPmv0brvhD9cXd356ZO13zUNROpteTk5NQbl6mpKXJycnRy3yVLlsDLywvDhw+nLiZCmqNGMiNj2tvrUEXv3UyTJk1Se75hwwZERkbiwoULcHd3x7lz5xAZGYnBgwcDAD788EN8+eWXSElJwYsvvqjz+J53M2nWLHbr0kMUPS6DscQA7kPr3nNplW9XTFr5Bn6z6YUPR07AihHjEDK0F7XIEL2SSqX1TtW2t7eHRCLReIyNNjg4ODQ468rBwaHOLreWio6O1niANCGkGm7MjPL7tMNPzZbL5Thy5AhKSkrg4+MDAPD19cWhQ4cwceJEWFhY4PDhwygrK8Pw4cPrLae8vBzl5eXc88LCwuYH1Yyp2UzBkBKn/CtxwChHCEWCOs+T5f0JARicS7KgEDBa94W0CU5OTvoOoU5CoRAuLi76DoMQoilVMqPDvZnaRDJz9epV+Pj4oKysDKampjh69Ci35sPhw4cxbdo0WFtbQygUQiwW4+jRow1+qG3cuBEff/yxVmJrztTs7F8f4WluCURGArwwrHu958mqVmN9IgGYnGYuEUII6bg69ABgAHB1dUVaWhqSkpKwcOFCBAcH4/p15XL+a9euRX5+Pv7zn/8gOTkZK1asQGBgIK5evVpveWvWrEFBQQH3uHfvXvOD03AAMGMMKSfuAAA8hneHoXH9+WJl3kMAQL4Jj5IZQgghHVON7Qw6bDeTSCTiWlq8vLxw6dIlbN26Fe+99x6++uorXLt2De7u7gCUG+olJCRg+/bt2LlzZ53lGRoawtDQUCuxaTo1+/eMp8i7WwShAR+eIx0bPLckV5lkPZUATEGLcBFCCOm4VOvM6GIAcJtomalJoVCgvLwcpaXKFXD5fPUwBQIBFM1cxE5jGrbMpP6iHCvj9qoDxGaiBs8te5gLAHhiIgBYm8grCSGEEK1S7UDI7c2kg+9vvX+DrlmzBhMmTECPHj1QVFSE/fv3Iz4+HnFxcejXrx9cXFwwf/58bNq0CdbW1oiNjcXJkyfx008/tUp8PGHVAOAmTM1+cr8E964/AY8HDBzVcKsMAFQ8fAAegCdi7bQiEUIIIW0ONwC4A+/NlJeXh1mzZsHV1RWjRo3CpUuXEBcXhzFjxsDAwABSqRS2traYNGkSPD09sWfPHsTExMDPz69V4uPxmz4A+Nd45f4yzp42MLNpvNtI/ucjAMATsVHzAySkg5s9e3at1Yp1KTo6GhYWFlopKz4+HjweT+P9pdq7zvq+ScMEOkxm9N4y88033zT4ep8+fVp3xd+auKnZDTeLlZVUIuOCsttoQCNjZVTYk3wAwFMjMVD3sh6EkHbM19cXubm5MDc313cohOhPjb2ZOuQKwG3d86nZDXczXU+8D1mFAtbdTOHQ16JJZfPziwAA+YamLQmRkDavoqJC3yHohUgkQpcuXcDj8Ro/WcvqW/iQkFbHrQCsHIMqU3SSAcBtShNaZhRyBa5WdTF5juzepA8uRWkpBOXKD5t8QzMtBEo6q+HDh2Pp0qVYvnw5LC0tYW9vj927d6OkpARz5syBRCKBi4sLt+dZXd0osbGxTf7CXbduHQYOHIhdu3bB0dERYrEYgYGBKCh4vjWHqmtow4YNcHBwgKurKwDg3r17CAwMhIWFBaysrODv76+2KaZcLseKFStgYWEBa2trvPfee2obZDalLpYsWYIlS5bA3NwcNjY2WLt2rVoZT58+xaxZs2BpaQmxWIwJEyYgMzOzzvLu3LkDPp+P5ORkteNbtmyBk5NTowMZa3a3qOr+p59+gqurK8RiMd544w2UlpYiJiYGzs7OsLS0RGhoKOTy503xzs7OWL9+PaZPnw4TExN069YN27dvV7sXj8dDZGQk/vKXv8DExAQbNmwAoNz/rnfv3hCJRHB1dcXevXu5a2bMmIFp06aplVNZWQkbGxtuM06FQoGNGzeiZ8+eMDY2xoABA/Ddd9+pXSOVStG3b18YGxtjxIgRdW50SkiH3puprWtKy8zd356g+Ek5jEwM0Pdl+yaVK3vyBABQLgSe8UxaFGOF7PkPRkziHbXnNYlFQtyJmIg7ERMhFum9l7FNY4xBUVqql4cmX+AAEBMTAxsbG1y8eBFLly7FwoULMXXqVPj6+uLy5csYO3YsgoKCuBmCLXXr1i0cPnwYP/74I37++WekpqZi0aJFauecOnUKGRkZ3ID9yspKjBs3DhKJBAkJCUhMTISpqSnGjx/Ptdx88cUXiI6Oxr/+9S+cPXsWT548wdGjRzWuC6FQiIsXL2Lr1q3YvHkzvv76a+712bNnIzk5GceOHcP58+fBGIOfn1+dLRnOzs4YPXo0oqKi1I5HRUVh9uzZtWZaNkVpaSn+8Y9/4ODBg/j5558RHx+PKVOmQCqVQiqVYu/evdi1a1ethOH//u//MGDAAKSmpiIsLAzLli3DyZMn1c5Zt24dpkyZgqtXr+Ktt97C0aNHsWzZMqxcuRLXrl3D/PnzMWfOHJw+fRoAMHPmTPz4448oLi7myoiLi0NpaSmmTJkCQLkI6Z49e7Bz50789ttveOedd/Dmm2/if//7HwBlghoQEIBJkyYhLS0Nc+fORVhYmMb1QjowrptJdysAg3UCBQUFDAArKCjQ+NqKhw/Zddd+7Lpb/3rP+Wn7FfbV/FMs4cjNJpdbmprKrrv2Y/GD+7E+f1/FnFb/xErKKzWO77Pjv7GeYT8xp9XPHz3DfmKfHf9N47I6u2fPnrHr16+zZ8+eMcYYk5eUKP/t9fCQl5Q0Oe5hw4axV199lXsuk8mYiYkJCwoK4o7l5uYyAOz8+fMsKiqKmZubq5Vx9OhR1tSPg/DwcCYQCNjvv//OHTtx4gTj8/ksNzeXMcZYcHAws7e3Z+Xl5dw5e/fuZa6urkyhUHDHysvLmbGxMYuLi2OMMda1a1f2+eefc69XVlay7t27M39//ybFNmzYMObm5qZ2j9WrVzM3NzfGGGM3b95kAFhiYiL3+qNHj5ixsTE7fPgwY4zVqp9Dhw4xS0tLVlZWxhhjLCUlhfF4PJadnd1oPKdPn2YA2NOnT7myAbBbt25x58yfP5+JxWJWVFTEHRs3bhybP38+99zJyYmNHz9erexp06axCRMmcM8BsOXLl6ud4+vry+bNm6d2bOrUqczPz48xpqxfGxsbtmfPHu716dOns2nTpjHGGCsrK2NisZidO3dOrYyQkBA2ffp0xhhja9asYf37q38+rl69Wu1916Xm7xvpuDKGvMquu/Zjh45/zl6IfoGtPrO6ydc29fubWmYaoZqaDYWizr+WS/LLcffaYwBA/yF1byhZF1XLTKG4+QvmbZRex64z2VDUCEvBgF1nsrFRer1Z5ZL2x9PTk/t/gUAAa2treHh4cMfs7ZUthnlVW2i0VI8ePdCtWzfuuY+PDxQKBTIyMrhjHh4eEImer7V05coV3Lp1CxKJhNvp2srKCmVlZcjKykJBQQFyc3Ph7e3NXSMUCvHSSy9pFNsrr7yi1mXm4+ODzMxMyOVypKenQygUqt3D2toarq6uSE9Pr7O8yZMnQyAQcC1E0dHRGDFiBJydnTWKS0UsFqN3797cc3t7ezg7O8PU1FTtWM1/K9V+ddWf14y5Zl2lp6djyJAhaseGDBnCXScUChEYGMjthl5SUoJ///vfmDlzJgBlC1xpaSnGjBmjtkP5nj17kJWVxd2jen3WFSshgG63M6B+hkbwqjcjy+WAUL3K0s/lgikYurqYw6pr07uLZI+VCVCBuHlbGVTIFNidkN3gObsTsrFybD/avLKZeMbGcL2cord7a8LAwED9eh5P7Zjqy12hUIDP59dKzHUxWNTERP33obi4GF5eXtwXZ3W2trZav7+2iEQizJo1C1FRUQgICMD+/fuxdevWZpfX2L+V6lhzFharWedNMXPmTAwbNgx5eXk4efIkjI2NMX78eADgup+OHz+ulrwC0Noq66QTqPrbQpfrzFAy05hqyQtTKFB9iCRTMKSfuw8A6P9q01tlAED+uKplxgRgcs1bZvaev1OrRaYmBVOeFzK0l8blE+UXCk/c8fbMsrW1RVFREUpKSrgvv7S0NI3KyMnJwf379+HgoPy5v3DhAvh8PjfQty6DBg3CoUOHYGdnBzOzuge9d+3aFUlJSXjttdcAADKZDCkpKRg0aFCTY0tKSlJ7fuHCBfTp0wcCgQBubm6QyWRISkqCr68vAODx48fIyMjgNrety9y5c/HCCy9gx44dkMlkCAgIaHI82nLhwoVaz93c3Bq8xs3NDYmJiQgODuaOJSYmqr1XX19fODo64tChQzhx4gSmTp3KJVf9+/eHoaEhcnJyMGzYsHrvcezYsQZjJZ0bD+qzmWgAsB6otczUGAT8e8ZTFD4qg8hYiN6D7DQqV/ZE1TLTvB2z7z5p2kDOpp5HOg9vb2+IxWK8//77yMrKwv79+xEdHa1RGUZGRggODsaVK1eQkJCA0NBQBAYGokuXLvVeM3PmTNjY2MDf3x8JCQnIzs5GfHw8QkND8fvvytmAy5YtQ0REBGJjY3Hjxg0sWrRI44XXcnJysGLFCmRkZODAgQPYtm0bli1bBkC5bpW/vz/mzZuHs2fP4sqVK3jzzTfRrVs3+Pv711umm5sbXnnlFaxevRrTp0+HsYYtZ9qQmJiIzz//HDdv3sT27dtx5MgR7n3VZ9WqVYiOjkZkZCQyMzOxefNm/PDDD3j33XfVzpsxYwZ27tyJkydPcl1MACCRSPDuu+/inXfeQUxMDLKysnD58mVs27YNMTExAIAFCxYgMzMTq1atQkZGRrN+nkjnwO/ou2a3aTVaZqpLP6dcJK/vYHsYiAQaFatqmSlo5o7ZTlZNu6ap55HOw8rKCt9++y2kUik8PDxw4MABrFu3TqMyXFxcEBAQAD8/P4wdOxaenp7YsWNHg9eIxWKcOXMGPXr0QEBAANzc3BASEoKysjKupWblypUICgpCcHAwfHx8IJFIuFk1TTVr1iw8e/YMgwcPxuLFi7Fs2TK8/fbb3OtRUVHw8vLC66+/Dh8fHzDGIJVKa3X11BQSEoKKigq89dZbGsWjLStXrkRycjJefPFFfPrpp9i8eTPGjRvX4DWTJ0/G1q1bsWnTJri7u2PXrl2IiorC8OHD1c6bOXMmrl+/jm7dutUaY7N+/XqsXbsWGzduhJubG8aPH4/jx4+jZ8+eAJTjp77//nvExsZiwIAB2LlzJz777DOtvnfSzrXCbCYeq2tUawdTWFgIc3NzFBQU1Nu8XR8ml+OG+wsAgD7nz0FoaQkAqCiTIeq9s5BVKPBG2Euwd9as3NvBwShPuoh/TOJj88ZkGAs1+0uvQqZAv7UnGuxq4vOAG+sn0JiZJiorK0N2djZ69uwJIyPaYqI+69atQ2xsrMZdU61h+PDhGDhwILZs2aL1stevX48jR47g119/1XrZjXF2dsby5cuxfPnyVr+3rtDvW+eROWw4ZA8fIucfoXg3dwd8HXyxa8yuJl3b1O9v+pZrTPVupmotM9lXHkFWoYC5rTHsnCQaF1v5+E8AQKmpAYwEmv8ii4R8zBvas8Fz5g3tSYkMIS1UXFyMa9eu4auvvsLSpUv1HQ4h7RbXzdQRN5ps63g8HtfVxKqNmbl58SEAZRdTc5YqVzx5qvyvpaTZS52v8euP+a/1BL/G5XweMP+1nljjV/+ARkLq4+7urjYNt/qjrplIrSUnJ6feuExNTZGTk6OT+y5ZsgReXl4YPnx4rS6mBQsW1BvPggULdBIPIe0Ot50BTc3WK55QqExkqpKZ0sIK3EtXjnnpO7j+AY/1YQoFWH4BeAB4lhYtim2NX38sHO6CgZ8oVwJdPc4VIUN7UYsMaTapVFrvVG17e3tIJBKNx9hog4ODQ4NdWw4ODoiPj9f6faOjo+sd0PrJJ5/UGkyrommXdkNoewDSEfB1uJ0BJTNNwBMIwPC8ZeZWSh6YgsHOSQILe80H2MoLCsCrGuzCt2z5brrVE5fgIc6UyJAWcXJy0ncIdRIKhXBxcdF3GGrs7OxgZ6fZTEZCOp1WGABM33pNoFoFmFVt/Hbz4gMAzWuVAQD5o0cAgCIjQGxEm0wSQgjpwFSL5kE565emZuuLKpmplKHw8TM8zC4Ejwe4vNS8v8hk3LRswFRk2sjZhBBCSPsnoAHA+sXtzySXITtN2arS1cUCJubNW85bXrVgXqEYMDWgZIYQQkjHpVoBmM+jbia94gmUTWNMJkNWqnLzt14vNn8vGVm1BfOoZYYQQkiHphozo8PtDGgAcFMYKKuptLACuVmFAIBeA1uQzFRrmZEYaL5GDSGEENLe0ABgPeMJlMlMTnY5wAA7JwkkVs1fsZLbykDMg4mB5rvcEkIIIe1GK6wzQ8lME6jGzNzNVq690bMFrTJAtU0mTQCJiFpmCCGEdGBcNxMNANYvoQAygRFyHyj7+VrSxQQ8b5kpFINaZgghhHQK1M2kZzyhAZ5aukKhAMxtjWHVtWUJiPypciuDQjGPWmZIiw0fPhxLly7F8uXLYWlpCXt7e+zevRslJSWYM2cOJBIJXFxccOLECQDKFW0tLCzUyoiNjdVoW40ff/wRL7/8MoyMjGBjY6O2s/XTp08xa9YsWFpaQiwWY8KECcjMzORev3v3LiZNmgRLS0uYmJjA3d0dUqkUABAfHw8ej4e4uDi8+OKLMDY2xsiRI5GXl4cTJ07Azc0NZmZmmDFjBkpLS7kyy8vLERoaCjs7OxgZGeHVV1/FpUuXmlOdhBBtU3UzVaUcCoX2BwBTMtMEPKEQj6zcAQBOL1i3uDxVMlNkTFOz2zLGGCrL5Xp5aLqZfUxMDGxsbHDx4kUsXboUCxcuxNSpU+Hr64vLly9j7NixCAoKUksAmuv48eOYMmUK/Pz8kJqailOnTmHw4MHc67Nnz0ZycjKOHTuG8+fPgzEGPz8/bouExYsXo7y8HGfOnMHVq1fx97//Haam6r8H69atw1dffYVz587h3r17CAwMxJYtW7B//34cP34cv/zyC7Zt28ad/9577+H7779HTEwMLl++DBcXF4wbNw5Pnjxp8fslhLRQ1d9JvKpuJhmTNXBy89BspqYQCPDEWrlpY0uTGSaXQ16onBFFyUzbJqtQ4J/L/qeXe7+9dRgMDAVNPn/AgAH48MMPAQBr1qxBREQEbGxsMG/ePADARx99hMjISPz6668tjm3Dhg3429/+ho8//ljt/gCQmZmJY8eOITExEb6+vgCAffv2wdHREbGxsZg6dSpycnLw17/+FR4eHgCAXr161brHp59+iiFDhgAAQkJCsGbNGmRlZXHnvvHGGzh9+jRWr16NkpISREZGIjo6GhMmTAAA7N69GydPnsQ333yDVatWtfg9E0JajmuZ0cHUbGqZaYJikQ3KDS0h4DM49LVoUVnywkKg6q/uYmNaAZhoh6enJ/f/AoEA1tbWXLIAKDeIBIC8vLwW3ystLQ2jRo2q87X09HQIhUJ4e3tzx6ytreHq6or09HQAQGhoKJeshIeH15lgVX8/9vb2EIvFakmPvb09916ysrJQWVnJJT8AYGBggMGDB3P3JIToD7dong7HzFDLTBPkCboDAOytZRAaNP2v5brI8/MBAKUiQC7gUctMGyYU8fH21mF6u7cmDAwM1J7zeDy1Y6rxMAqFAnw+v1Y3Vn27ZNfF2NhYo9hqmjt3LsaNG8d1F23cuBFffPEFli5dyp1TM/a63p8u+t0JITpQczYTTc3Wjzx+NwCAg1VFi8uSP80HABSJAUOBIQwEBg1fQPSGx+PBwFCgl4cmg3E1ZWtri6KiIpSUlHDH0tLSmny9p6cnTp06Vedrbm5ukMlkSEpK4o49fvwYGRkZ6N+/P3fM0dERCxYswA8//ICVK1di9+7dmr+RKr1794ZIJEJiYiJ3rLKyEpcuXVK7JyFEv1TJDK0ArAcVZTI8gXKcjIPFsxaXp2qZKTKiadlEP7y9vSEWi/H+++8jNDQUSUlJiI6ObvL14eHhGDVqFHr37o2//e1vkMlkkEqlWL16Nfr06QN/f3/MmzcPu3btgkQiQVhYGLp16wZ/f38AwPLlyzFhwgT07dsXT58+xenTp+Hm5tbs92NiYoKFCxdi1apVsLKyQo8ePfD555+jtLQUISEhzS6XEKIlNVpmdDEAmFpmGnE/Mx8MfBg9+xMmBk1viq+PKpkpNqZp2UQ/rKys8O2330IqlcLDwwMHDhzAunXrmnz98OHDceTIERw7dgwDBw7EyJEjcfHiRe71qKgoeHl54fXXX4ePjw8YY5BKpVxXkVwux+LFi+Hm5obx48ejb9++2LFjR4veU0REBP76178iKCgIgwYNwq1btxAXFwdLS8sWlUsI0R4Bq+ru1kHLDI9pOge0HSosLIS5uTkKCgpgZmam0bWJ399C2skcdM1NxLApjrCePbtFsTz+VxTyPv8cCe48/HeOJw6+frBF5RHtKSsrQ3Z2Nnr27Akjo+ZvV0EIaRz9vnUeWX4TUXH7Nix2b8PY2+8AAH6d9WuTutOb+v1NLTON+CNDuSaM5dNMQN7yQUu0xgwhhJBOpUY3E6D9GU2UzDSgrKQSf94rAgBY5t8Eq2x5Px83ZsaYR9OySZvk7u4OU1PTOh/79u3Td3iEkHaqejKj7a4mGgDcgPuZ+QADTAWlMKwoAJNrL5kpNqYBwKRtkkql9U7VVq1XQwghTVbVmyTA824lmUIGkUCktVtQMtOAP24qu4RsjZQr9jKZ9pKZQmOgFw0AJm2Qk5OTvkMghHQgPK6b6fk6bdpumaFupgaoxsvYGRcrD8i0MGYmX1kmtcwQQgjpTKoP96UxM62krKQSj/9QLipma6L8rzZaZmTVxsxIDKhlpi3qBBP8CNE7+j3rTFTbGdAA4Fb38I6ya8nc1hjGRsp/iJaOmWGMQZ5fAKBqNhMNAG5TBAJlE2hFRctXeiaENEy1g3vNrSpIB8R1M/G4fZq0vaUBjZmpx4PbyqSjSy9z8Iqq+vla2DKjKCkFqgZWFolpanZbIxQKIRaL8eeff8LAwAB8PuX6hGgbYwylpaXIy8uDhYUF90cE6QQYg4AngIzJtN4yQ8lMPR5yyYwZeNeV1cRaOGZGNV6mUshDhQGPxsy0MTweD127dkV2djbu3r2r73AI6dAsLCzQpUsXfYdBWkNVywxjTDk9m9HU7FbBFAwPs5XdTPa9zIEMVTLTspYZ1SaTJWLlX/xiA3GLyiPaJxKJ0KdPH+pqIkSHDAwMqEWmM6m20q+ALwAU2h8zo/dkJjIyEpGRkbhz5w4A5YJdH330ESZMmMCdc/78eXzwwQdISkqCQCDAwIEDERcXB2NjY53E9CS3BBVlcggNBbB2MMFTYVU1tXDMTPV9mQBALKRkpi3i8/m0vDohhGgbe75wnrYHgOt9UED37t0RERGBlJQUJCcnY+TIkfD398dvv/0GQJnIjB8/HmPHjsXFixdx6dIlLFmyRKfjGVTjZeydJeAL+OAJlX9BtHQF4OprzADUMkMIIaQTULXMqLqZ0AFbZiZNmqT2fMOGDYiMjMSFCxfg7u6Od955B6GhoQgLC+POcXV11WlMD6q6mLr0NFceqGqZYS3cm0m1L1OBkQIAn1pmCCGEdHzVFpgRVC2c16EXzZPL5Th48CBKSkrg4+ODvLw8JCUlwc7ODr6+vrC3t8ewYcNw9uxZncbxsNpMJgDgCbQ0ZoZbY0bZvEYtM4QQQjqPDtwyAwBXr16Fj48PysrKYGpqiqNHj6J///64cOECAGDdunXYtGkTBg4ciD179mDUqFG4du0a+vTpU2d55eXlKC8v554XFCiTk8LCwkZjqXgmw/2cPwEAxtbKa4oqKlAsl0NRWtKkMuqT/+ABiuVy/CngQf4MqCipgJyv3X9QQgghpC0prpShXC5HYXEx2DMGeZkchQWFKBQ0/n2q+s5tdIwNawPKy8tZZmYmS05OZmFhYczGxob99ttvLDExkQFga9asUTvfw8ODhYWF1VteeHg4A0APetCDHvSgBz06wOPevXsN5hE8xtremtKjR49G7969ERYWhl69emHv3r148803udenTZsGoVCIffv21Xl9zZaZ/Px8ODk5IScnB+bm5jqPv60qLCyEo6Mj7t27BzMzM32HozdUD0pUD0pUD89RXShRPSi1hXpgjKGoqAgODg4NTvxpE91MNSkUCpSXl8PZ2RkODg7IyMhQe/3mzZtqU7drMjQ0hKGhYa3j5ubmnfoHU8XMzIzqAVQPKlQPSlQPz1FdKFE9KOm7HprSCKH3ZGbNmjWYMGECevTogaKiIuzfvx/x8fGIi4sDj8fDqlWrEB4ejgEDBmDgwIGIiYnBjRs38N133+k7dEIIIYS0AXpPZvLy8jBr1izk5ubC3Nwcnp6eiIuLw5gxYwAAy5cvR1lZGd555x08efIEAwYMwMmTJ9G7d289R04IIYSQtkDvycw333zT6DlhYWFq68xoytDQEOHh4XV2PXUmVA9KVA9KVA9KVA/PUV0oUT0otad6aJMDgAkhhBBCmqpNLZpHCCGEEKIpSmYIIYQQ0q5RMkMIIYSQdo2SGUIIIYS0ax0mmdm+fTucnZ1hZGQEb29vXLx4scHzjxw5gn79+sHIyAgeHh6QSqWtFKluaVIPu3fvxtChQ2FpaQlLS0uMHj260XprLzT9eVA5ePAgeDweJk+erNsAW4mm9ZCfn4/Fixeja9euMDQ0RN++fTvE74am9bBlyxa4urrC2NgYjo6OeOedd1BWVtZK0erGmTNnMGnSJDg4OIDH4yE2NrbRa+Lj4zFo0CAYGhrCxcUF0dHROo9T1zSthx9++AFjxoyBra0tzMzM4OPjg7i4uNYJVoea8/OgkpiYCKFQiIEDB+osPk11iGTm0KFDWLFiBcLDw3H58mUMGDAA48aNQ15eXp3nnzt3DtOnT0dISAhSU1MxefJkTJ48GdeuXWvlyLVL03qIj4/H9OnTcfr0aZw/fx6Ojo4YO3Ys/vjjj1aOXLs0rQeVO3fu4N1338XQoUNbKVLd0rQeKioqMGbMGNy5cwffffcdMjIysHv3bnTr1q2VI9cuTeth//79CAsLQ3h4ONLT0/HNN9/g0KFDeP/991s5cu0qKSnBgAEDsH379iadn52djYkTJ2LEiBFIS0vD8uXLMXfu3Hb/Ra5pPZw5cwZjxoyBVCpFSkoKRowYgUmTJiE1NVXHkeqWpvWgkp+fj1mzZmHUqFE6iqyZWrpJZFswePBgtnjxYu65XC5nDg4ObOPGjXWeHxgYyCZOnKh2zNvbm82fP1+nceqapvVQk0wmYxKJhMXExOgqxFbRnHqQyWTM19eXff311yw4OJj5+/u3QqS6pWk9REZGsl69erGKiorWCrFVaFoPixcvZiNHjlQ7tmLFCjZkyBCdxtmaALCjR482eM57773H3N3d1Y5NmzaNjRs3ToeRta6m1ENd+vfvzz7++GPtB6QnmtTDtGnT2IcffsjCw8PZgAEDdBqXJtp9y0xFRQVSUlIwevRo7hifz8fo0aNx/vz5Oq85f/682vkAMG7cuHrPbw+aUw81lZaWorKyElZWVroKU+eaWw+ffPIJ7OzsEBIS0hph6lxz6uHYsWPw8fHB4sWLYW9vjxdeeAGfffYZ5HJ5a4Wtdc2pB19fX6SkpHBdUbdv34ZUKoWfn1+rxNxWdMTPSW1QKBQoKipq15+TzRUVFYXbt28jPDxc36HUovcVgFvq0aNHkMvlsLe3Vztub2+PGzdu1HnNgwcP6jz/wYMHOotT15pTDzWtXr0aDg4OtT7A2pPm1MPZs2fxzTffIC0trRUibB3NqYfbt2/jv//9L2bOnAmpVIpbt25h0aJFqKysbJMfXk3RnHqYMWMGHj16hFdffRWMMchkMixYsKDddzNpqr7PycLCQjx79gzGxsZ6iky/Nm3ahOLiYgQGBuo7lFaVmZmJsLAwJCQkQChse6lDu2+ZIdoRERGBgwcP4ujRozAyMtJ3OK2mqKgIQUFB2L17N2xsbPQdjl4pFArY2dnhn//8J7y8vDBt2jR88MEH2Llzp75Da1Xx8fH47LPPsGPHDly+fBk//PADjh8/jvXr1+s7NKJn+/fvx8cff4zDhw/Dzs5O3+G0GrlcjhkzZuDjjz9G37599R1OndpeeqUhGxsbCAQCPHz4UO34w4cP0aVLlzqv6dKli0bntwfNqQeVTZs2ISIiAv/5z3/g6empyzB1TtN6yMrKwp07dzBp0iTumEKhAAAIhUJkZGS0y01Nm/Pz0LVrVxgYGEAgEHDH3Nzc8ODBA1RUVEAkEuk0Zl1oTj2sXbsWQUFBmDt3LgDAw8MDJSUlePvtt/HBBx+Az+8cfwPW9zlpZmbWKVtlDh48iLlz5+LIkSPtuvW6OYqKipCcnIzU1FQsWbIEgPJzkjEGoVCIX375BSNHjtRrjO3+t1IkEsHLywunTp3ijikUCpw6dQo+Pj51XuPj46N2PgCcPHmy3vPbg+bUAwB8/vnnWL9+PX7++We89NJLrRGqTmlaD/369cPVq1eRlpbGPf7yl79wMzgcHR1bM3ytac7Pw5AhQ3Dr1i0umQOAmzdvomvXru0ykQGaVw+lpaW1EhZVgsc60VZ2HfFzsrkOHDiAOXPm4MCBA5g4caK+w2l1ZmZmtT4nFyxYAFdXV6SlpcHb21vfIXaM2UwHDx5khoaGLDo6ml2/fp29/fbbzMLCgj148IAxxlhQUBALCwvjzk9MTGRCoZBt2rSJpaens/DwcGZgYMCuXr2qr7egFZrWQ0REBBOJROy7775jubm53KOoqEhfb0ErNK2HmjrKbCZN6yEnJ4dJJBK2ZMkSlpGRwX766SdmZ2fHPv30U329Ba3QtB7Cw8OZRCJhBw4cYLdv32a//PIL6927NwsMDNTXW9CKoqIilpqaylJTUxkAtnnzZpaamsru3r3LGGMsLCyMBQUFceffvn2bicVitmrVKpaens62b9/OBAIB+/nnn/X1FrRC03rYt28fEwqFbPv27Wqfk/n5+fp6C1qhaT3U1NZmM3WIZIYxxrZt28Z69OjBRCIRGzx4MLtw4QL32rBhw1hwcLDa+YcPH2Z9+/ZlIpGIubu7s+PHj7dyxLqhST04OTkxALUe4eHhrR+4lmn681BdR0lmGNO8Hs6dO8e8vb2ZoaEh69WrF9uwYQOTyWStHLX2aVIPlZWVbN26dax3797MyMiIOTo6skWLFrGnT5+2fuBadPr06Tp/31XvPTg4mA0bNqzWNQMHDmQikYj16tWLRUVFtXrc2qZpPQwbNqzB89ur5vw8VNfWkhkeY52o3ZQQQgghHU67HzNDCCGEkM6NkhlCCCGEtGuUzBBCCCGkXaNkhhBCCCHtGiUzhBBCCGnXKJkhhBBCSLtGyQwhhBBC2jVKZgghhBDSrlEyQwghhJB2jZIZQgghhLRrlMwQQtqlzz77DDwer9Zjy5Yt+g6NENLKaG8mQki7VFRUhJKSEu75Rx99hF9++QVnz55F9+7d9RgZIaS1CfUdACGENIdEIoFEIgEArF27Fr/88gvi4+MpkSGkE6JuJkJIu/bRRx9h7969iI+Ph7Ozs77DIYToASUzhJB2Kzw8HHv27KFEhpBOjpIZQki7FB4ejpiYGEpkCCE0ZoYQ0v58+umniIyMxLFjx2BkZIQHDx4AACwtLWFoaKjn6AghrY1mMxFC2hXGGCwsLFBYWFjrtYsXL+Lll1/WQ1SEEH2iZIYQQggh7RqNmSGEEEJIu0bJDCGEEELaNUpmCCGEENKuUTJDCCGEkHaNkhlCCCGEtGuUzBBCCCGkXaNkhhBCCCHtGiUzhBBCCGnXKJkhhBBCSLtGyQwhhBBC2jVKZgghhBDSrlEyQwghhJB27f8ByQtzGD7VEpsAAAAASUVORK5CYII=",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"# YOUR CODE HERE\n",
|
|
"plot_dist_mod()\n",
|
|
"plt.plot(z, mu_pred_lin, label=\"mu_pred_lin\")\n",
|
|
"plt.plot(z, mu_pred_poly, label=\"mu_pred_poly\")\n",
|
|
"plt.plot(z, mu_pred_poly_improved, label=\"mu_pred_poly_improved\")\n",
|
|
"plt.plot(z, mu_cosmo, label=\"mu_cosmo\")\n",
|
|
"plt.legend()\n",
|
|
"#raise NotImplementedError()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "b277d71c70a41ca213e62c916b98207d",
|
|
"grade": false,
|
|
"grade_id": "cell-285160edd2e418e2",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"*Compute the RMS error between the predictions made by the cosmological model and each of the regression models, over the sample array `z`.*"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 31,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "0034720cf8c44e319df90de05466ef84",
|
|
"grade": false,
|
|
"grade_id": "cell-939141aa04822e33",
|
|
"locked": false,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"# Compute the RMS error between the data and the predictions for each model.\n",
|
|
"# Use variables rms_cosmo_lin, rms_cosmo_poly and rms_cosmo_poly_improved.\n",
|
|
"# YOUR CODE HERE\n",
|
|
"rms_cosmo_lin = compute_rms(mu_cosmo, mu_pred_lin)\n",
|
|
"rms_cosmo_poly = compute_rms(mu_cosmo, mu_pred_poly)\n",
|
|
"rms_cosmo_poly_improved = compute_rms(mu_cosmo, mu_pred_poly_improved)\n",
|
|
"#raise NotImplementedError()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 32,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "f4a351596164e691fb7bb6359e3de55b",
|
|
"grade": false,
|
|
"grade_id": "cell-770a716893bdb639",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"rms_cosmo_lin = 1.1252\n",
|
|
"rms_cosmo_poly = 20.6652\n",
|
|
"rms_cosmo_poly_improved = 163.5297\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# Print RMS values computed.\n",
|
|
"print(\"rms_cosmo_lin = {0:.4f}\".format(rms_cosmo_lin))\n",
|
|
"print(\"rms_cosmo_poly = {0:.4f}\".format(rms_cosmo_poly))\n",
|
|
"print(\"rms_cosmo_poly_improved = {0:.4f}\".format(rms_cosmo_poly_improved))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 33,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "6f439fe717a169e6d0658974b1dcbc7b",
|
|
"grade": true,
|
|
"grade_id": "cell-e8a9f757965b2069",
|
|
"locked": true,
|
|
"points": 1,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"rms_cosmo_lin defined.\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"check_var_defined('rms_cosmo_lin')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 34,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "33956cf40ac1a6064c599cca42bb3520",
|
|
"grade": true,
|
|
"grade_id": "cell-30ed009401260759",
|
|
"locked": true,
|
|
"points": 1,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"rms_cosmo_poly defined.\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"check_var_defined('rms_cosmo_poly')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 35,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "4a4fc0aef5b79d11ac43990c71b12d93",
|
|
"grade": true,
|
|
"grade_id": "cell-e6ee872c00472aa2",
|
|
"locked": true,
|
|
"points": 1,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"rms_cosmo_poly_improved defined.\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"check_var_defined('rms_cosmo_poly_improved')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "f67fca72235a566438e6daed262ecc04",
|
|
"grade": false,
|
|
"grade_id": "cell-cfa4d93afc081e93",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"*Comment on the RMS values computed and the implications for the accuracy of the different regression models considered.*"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "f25a554b6d3d42a22139116a83b3c1c7",
|
|
"grade": true,
|
|
"grade_id": "cell-a993842383ec9778",
|
|
"locked": false,
|
|
"points": 2,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"source": [
|
|
"Both the `poly` and `poly_improved` models perform worse than `lin` across the domain of `mu_cosmo`. This suggests these models would be poor at extrapolating beyond this domain. `poly` performs particularly poorly as it dives off the high end of the domain to diverge very quickly from the theoretical model."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "e28b2898e145c2fb9c843928795b54f2",
|
|
"grade": false,
|
|
"grade_id": "cell-c8ac035dcf2c47fc",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"---"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "900204de52da9d3c8b85d7604102a518",
|
|
"grade": false,
|
|
"grade_id": "cell-2d2591b309fcc3d2",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"## Part 2: Classification"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "0e5cd46344bce92e33149bb5f42b9485",
|
|
"grade": false,
|
|
"grade_id": "cell-bb13c563fd6784c9",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"In these exercises we will consider classification of [RR Lyrae](https://en.wikipedia.org/wiki/RR_Lyrae_variable) variable stars. RR Lyrae variables are often used as standard candles to measure astronomical distances since their period of pulsation can be related to their absolute magnitude.\n",
|
|
"\n",
|
|
"Observations of star magnitudes are made in each [SDSS filter band](http://skyserver.sdss.org/dr2/en/proj/advanced/color/sdssfilters.asp): u, g, r, i, z.\n",
|
|
"\n",
|
|
"We will consider the space of astronomical \"colours\" to distinguish RR Lyraes from background stars. Astronomical colours are simply differences in magnitudes between bands, e.g. u-g, g-r, r-i, i-z. You can find further background [here](https://en.wikipedia.org/wiki/Color%E2%80%93color_diagram)."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "c8a74d7f460b94e02dde82bb72bb5eaf",
|
|
"grade": false,
|
|
"grade_id": "cell-4f6b1f1dc074f5cc",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"First, download the data. (This may take some time on first execution. Subsequently executions will read from cached data on your system.)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 36,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "df9d97d24e9496cc877839350420247b",
|
|
"grade": false,
|
|
"grade_id": "cell-73597701131bc8e2",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"# Load data\n",
|
|
"from astroML.datasets import fetch_rrlyrae_combined\n",
|
|
"X, y = fetch_rrlyrae_combined()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "8bf835a66bdebf03f21f25c2038156eb",
|
|
"grade": false,
|
|
"grade_id": "cell-2b739257efd6fbdf",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"You can learn more about the format of the returned data [here](http://www.astroml.org/modules/generated/astroML.datasets.fetch_rrlyrae_combined.html). In particular, note that the columns of `X` are u-g, g-r, r-i, i-z."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "cbba628ec0398b2d517363e7ba5b669b",
|
|
"grade": false,
|
|
"grade_id": "cell-1d6b876f89c05942",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"*Construct a Pandas DataFrame for the `X` data and a Series for the `y` data. Call your Pandas objects `X_pd` and `y_pd` respectively.*\n",
|
|
"\n",
|
|
"Be sure to give your colums the correct colour name, e.g. 'u-g'."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 37,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "17f47902f34b6b5623f6d387902a536e",
|
|
"grade": false,
|
|
"grade_id": "cell-7250404d5b9e0c13",
|
|
"locked": false,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"import pandas as pd\n",
|
|
"cols=['u-g', 'g-r', 'r-i', 'i-z']\n",
|
|
"# YOUR CODE HERE\n",
|
|
"X_pd = pd.DataFrame({\n",
|
|
" \"u-g\": [c[0] for c in X],\n",
|
|
" \"g-r\": [c[1] for c in X],\n",
|
|
" \"r-i\": [c[2] for c in X],\n",
|
|
" \"i-z\": [c[3] for c in X],\n",
|
|
"})\n",
|
|
"# raise NotImplementedError"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 38,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "32251036f16850a2b13b1f78e0cf6ca8",
|
|
"grade": true,
|
|
"grade_id": "cell-a913d8acabdfba5c",
|
|
"locked": true,
|
|
"points": 1,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"X_pd defined.\n",
|
|
" u-g g-r r-i i-z\n",
|
|
"0 1.250999 0.394000 0.137000 0.061999\n",
|
|
"1 1.048000 0.339001 0.151999 0.023001\n",
|
|
"2 1.008001 0.341999 0.129000 0.203001\n",
|
|
"3 0.965000 0.392000 0.149000 0.150000\n",
|
|
"4 1.040001 0.333000 0.125999 0.101999\n",
|
|
"... ... ... ... ...\n",
|
|
"93136 0.962999 0.059000 -0.025999 -0.025000\n",
|
|
"93137 1.059999 0.185001 0.050999 -0.023998\n",
|
|
"93138 1.044001 0.212000 0.035000 0.002001\n",
|
|
"93139 1.064999 0.172001 0.042000 0.003000\n",
|
|
"93140 1.125999 0.065001 -0.017000 -0.057999\n",
|
|
"\n",
|
|
"[93141 rows x 4 columns]\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"check_var_defined('X_pd')\n",
|
|
"print(X_pd)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 39,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "1a57773c7e968f9c71d9be3229d9e2a8",
|
|
"grade": false,
|
|
"grade_id": "cell-0b438d5f8dcac8e9",
|
|
"locked": false,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"# YOUR CODE HERE\n",
|
|
"y_pd = pd.Series(y)\n",
|
|
"#raise NotImplementedError()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 40,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "097b3a38b8aec4ddf4a649990924e628",
|
|
"grade": true,
|
|
"grade_id": "cell-d1392b89a707b35a",
|
|
"locked": true,
|
|
"points": 1,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"y_pd defined.\n",
|
|
"0 0.0\n",
|
|
"1 0.0\n",
|
|
"2 0.0\n",
|
|
"3 0.0\n",
|
|
"4 0.0\n",
|
|
" ... \n",
|
|
"93136 1.0\n",
|
|
"93137 1.0\n",
|
|
"93138 1.0\n",
|
|
"93139 1.0\n",
|
|
"93140 1.0\n",
|
|
"Length: 93141, dtype: float64\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"check_var_defined('y_pd')\n",
|
|
"print(y_pd)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "a2a814f95845ae40b8d2e46d3f3b02d2",
|
|
"grade": false,
|
|
"grade_id": "cell-dba1c66617cc789e",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"*Combine your data and targets into a single Pandas DataFrame, labelling the target column 'target'. Call the resulting Pandas DataFrame `X_pd_all`.*"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 41,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "c9bc7cc9a6cb4270148403c68e9cd022",
|
|
"grade": false,
|
|
"grade_id": "cell-f80ca9f2573d06fb",
|
|
"locked": false,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"# YOUR CODE HERE\n",
|
|
"# Copy original dataframe\n",
|
|
"X_pd_all = pd.DataFrame(X_pd)\n",
|
|
"X_pd_all[\"target\"] = y_pd\n",
|
|
"#raise NotImplementedError()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 42,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "9b150964210efff48af195349090fff3",
|
|
"grade": true,
|
|
"grade_id": "cell-694c65584675c6c6",
|
|
"locked": true,
|
|
"points": 1,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"X_pd_all defined.\n",
|
|
" u-g g-r r-i i-z target\n",
|
|
"0 1.250999 0.394000 0.137000 0.061999 0.0\n",
|
|
"1 1.048000 0.339001 0.151999 0.023001 0.0\n",
|
|
"2 1.008001 0.341999 0.129000 0.203001 0.0\n",
|
|
"3 0.965000 0.392000 0.149000 0.150000 0.0\n",
|
|
"4 1.040001 0.333000 0.125999 0.101999 0.0\n",
|
|
"... ... ... ... ... ...\n",
|
|
"93136 0.962999 0.059000 -0.025999 -0.025000 1.0\n",
|
|
"93137 1.059999 0.185001 0.050999 -0.023998 1.0\n",
|
|
"93138 1.044001 0.212000 0.035000 0.002001 1.0\n",
|
|
"93139 1.064999 0.172001 0.042000 0.003000 1.0\n",
|
|
"93140 1.125999 0.065001 -0.017000 -0.057999 1.0\n",
|
|
"\n",
|
|
"[93141 rows x 5 columns]\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"check_var_defined('X_pd_all')\n",
|
|
"print(X_pd_all)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "2a59e1592037847daee2a1d59e66e82e",
|
|
"grade": false,
|
|
"grade_id": "cell-b2cdd1e8ff443c4f",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"*Add a 'target description' column to your existing `X_pd_all` DataFrame, with fields 'Background' and 'RR Lyrae' to specify the target type.*"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 43,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "0175b69fda7663e0c7f1e816703b8273",
|
|
"grade": false,
|
|
"grade_id": "cell-f94161f729fadf8c",
|
|
"locked": false,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"# YOUR CODE HERE\n",
|
|
"X_pd_all['target description'] = X_pd_all.apply(lambda r : 'Background' if r['target'] == 0 else 'RR Lyrae', axis=1)\n",
|
|
"#raise NotImplementedError()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 44,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "9b02148198742613e8a4ca524e073b71",
|
|
"grade": true,
|
|
"grade_id": "cell-cb2480e79d82c641",
|
|
"locked": true,
|
|
"points": 1,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
" u-g g-r r-i i-z target target description\n",
|
|
"0 1.250999 0.394000 0.137000 0.061999 0.0 Background\n",
|
|
"1 1.048000 0.339001 0.151999 0.023001 0.0 Background\n",
|
|
"2 1.008001 0.341999 0.129000 0.203001 0.0 Background\n",
|
|
"3 0.965000 0.392000 0.149000 0.150000 0.0 Background\n",
|
|
"4 1.040001 0.333000 0.125999 0.101999 0.0 Background\n",
|
|
"... ... ... ... ... ... ...\n",
|
|
"93136 0.962999 0.059000 -0.025999 -0.025000 1.0 RR Lyrae\n",
|
|
"93137 1.059999 0.185001 0.050999 -0.023998 1.0 RR Lyrae\n",
|
|
"93138 1.044001 0.212000 0.035000 0.002001 1.0 RR Lyrae\n",
|
|
"93139 1.064999 0.172001 0.042000 0.003000 1.0 RR Lyrae\n",
|
|
"93140 1.125999 0.065001 -0.017000 -0.057999 1.0 RR Lyrae\n",
|
|
"\n",
|
|
"[93141 rows x 6 columns]\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"print(X_pd_all)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "696a530a5fa11fd74e886aad53c4730a",
|
|
"grade": false,
|
|
"grade_id": "cell-add4e81373265098",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"*How many RR Lyrae variable stars are there in the dataset (i.e compute `n_rrlyrae`)?*"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 45,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "9e45a92c9efcd4a5dc60ae91cfaece89",
|
|
"grade": false,
|
|
"grade_id": "cell-753a59a39e3df18c",
|
|
"locked": false,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"# YOUR CODE HERE\n",
|
|
"n_rrlyrae = (X_pd_all[\"target description\"] == \"RR Lyrae\").sum()\n",
|
|
"#raise NotImplementedError()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 46,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "e4fa379f2a74a6855884a165bc422e87",
|
|
"grade": true,
|
|
"grade_id": "cell-c7fa425ec227dd04",
|
|
"locked": true,
|
|
"points": 1,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"n_rrlyrae defined.\n",
|
|
"n_rrlyrae = 483\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"check_var_defined('n_rrlyrae')\n",
|
|
"print(\"n_rrlyrae = {0}\".format(n_rrlyrae))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "8836626b58900a14fc8d5cca59c33d20",
|
|
"grade": false,
|
|
"grade_id": "cell-a267bf2d5be875a6",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"*How many background stars are there in the dataset (i.e. compute `n_background`)?*"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 47,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "9390ffb5aa4c435a65609e8d9fbbea17",
|
|
"grade": false,
|
|
"grade_id": "cell-f902e74120d04b39",
|
|
"locked": false,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"# YOUR CODE HERE\n",
|
|
"n_background = (X_pd_all[\"target description\"] == \"Background\").sum()\n",
|
|
"#raise NotImplementedError()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 48,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "766f1ee43bdca36d9c5b2eba3f20be3e",
|
|
"grade": true,
|
|
"grade_id": "cell-dd77ae406ebc1e36",
|
|
"locked": true,
|
|
"points": 1,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"n_background defined.\n",
|
|
"n_background = 92658\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"check_var_defined('n_background')\n",
|
|
"print(\"n_background = {0}\".format(n_background))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "0ad0f46079adada0deefc29a592e1c23",
|
|
"grade": false,
|
|
"grade_id": "cell-494facc20b7778b6",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"*Plot scatter plot pairs for all colour combinations using `seaborn`. Colour the points by target type. Make sure the distribution plots are normalised to have an area of 1 under the curve for each of the classes.*"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 49,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "2198169c65059d8e1fd6d52582651c9f",
|
|
"grade": false,
|
|
"grade_id": "cell-ef57ad845334bbaa",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"%matplotlib inline\n",
|
|
"import seaborn as sns; sns.set()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 50,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "9a5b0a8a06c988cba3bac3fb41ee6ca6",
|
|
"grade": true,
|
|
"grade_id": "cell-6f8c0ce750628d0e",
|
|
"locked": false,
|
|
"points": 2,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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+FAF6By1s2l+PIAg8tb6UngELADaHzAd763hvVzV3XTqVP718iM5eM00dQ2MGTnqtxNCIfcIB1bDZTkevmQeezcMxgVQgCwL9Fgcb9tbx4b56uvstbMlv4MVNx3AKAu/vrp3wXN7fXcPJes7AiN1D/DmZp9aXYvmMs4EWB/z88T1u8Qeguqmfnz++h74Rx2nW/PpwIPDHlw6x+UCDW1jo7DXz8EuH6Oozs2R69Jh1gvwMzEgL49Axlzhk0GvwMWqJC/fln28X09Frdm3bKbOzoIln3z9CZIg3N5w3mT1FLXx8oOHbX9JXFKhpG+KOP+3gjy8e5PF3Srj7sV38450SZPHTz12SRMobepmWGkrBsQ5mZYbz9Poj7nsEroHS29uriA71prljmJ/9YzcWp4JBK3L5ylQEAZ7dUOYWdKx2J5v21/Pv90qJDfMZs8/0+CAOV47fDpyyQu+AlexklwCzYXcNfWY7gnjCT8gmQ1FlJ+/vrSOvvAOr7BLBLA6ZD/fXeWzv+nMn8/zGMnYcasIxKsS294zw4PP51LQOTFiO2qiXWDUnbszvOo3ITRdmfuFoO0WAN7dWEh3qzXXnZnC4sgNZVogO9WZ6WugYvx9wPecKYHYo/Oyfe9ziD7j8VB5+6SDXnjOZsEAvbl89RR1YfkcRJZEtBxt5av0Rd4Se2ergza2VvPTRMWwK/Prf+z3EH4B9Ja2MWB0cPNrOoqlRZCUF87tn83hqfSkvfniU+585wLaDjVy+ItW9zvycSLr6zDzzvue+1n9SQ0F5B5cuT6GoooPF02LwNmpdwilg0EkMmT33fzIjFjtzsyK4ZGkKW/IaJlxu26GmL+QJZJAELl2eOuZ3SRT4/sVT0H2KL+FnQREFXvzoqIcYPjBs46n1R9h2qOlTvdZUVFS+fNQIIJWvnR2HW+gZsHD9WelIo53cxEg/cpKDeWtHNTPTQ/E16r7mo1T5LiIIAq09I7yxpWLM317bXEFWUjCRAV6fGiYtCK5KT2abEwSBVXPjCQ0wYrU70WpEOnrNvLO9kq4+C9Gh3gAMDNuZlx3JU+tLx91maXU3IxYHFpuTQF9xTJQB4I4yufe6XJxOxRU5M2Jj3Y5qGtsHAVc0TX3bIPnHOpg/OQy7U8GhgABoNSKvby5n8wHPDujK2XEkRPgxbLFjOU36mMXqwKmAdtR0uqqxb8JlO3rNWO0ymk/xG5Akkb0lre7Otuf5KryxpYK7Lp3q8bsoCdicoKCgFQUEZfxoJ3E0kmTIbMcpK/iZdOg1X7wUriBAz4CVygnO/7kNZTxw61xS4wL4aF89dofMjPQwpqaE8I+3ikhPCCI8yIgkwPxpUTz2+uFxt1Pd3E93n4WQAC9+evUMXthYxhnTo9F+i8OArA6F3z+XNyaNrrC8g815DayaE8eQ2c6w2YHJoMFLJyGeFO3mdCokRvrR3jOCv7eOTw63TLivj/PqWTQtinU7qtl1uJkzZ8YwPzuSe/76ybjLHzrWwdqVaVx5Zhrv7KhixOJqo7J8+mi7/mEr5y9M4tpzMujpt2CxOtFpRLS4vEAeePoADaPtF0AjCfz82ly8vbQe2/X20qLXStRNIDg/s6GM3944G60oYpdlQEAjgqAoiIrCRYuTmZoSyjs7q+gftJGVHMR5C5Iw6cTPXBlIkgSsTlckksMp42vSYdRJWOxOWrqGuOHcyWgkEZtd4Z9vFaGRRObnRHH2vAT+8lqhRzuPC/dh2Gxn84F6rONERI1YHJRWdfHgbfMRlfErh6l8+7E4ZNbtqB73bzsKmjh/UZL7e7kgJ4pF06JwOFzfR5NBQ1y4D4umRXP/MwfGtNM9xa2kJwSRHO1PVVMfS6bF8IcX8sfd187CJs6en8COgmbe2VFNRkIgP7piOg+9kE91cz+ZiUEUV3Xh76Nn9eJkIkNM2B0yeq1EWKCJY/Xd9A1aMdsmntQYGrHDF4nzVBSWHo9W3FpJV7+Z1NgALlqSjI9B87nTacfDYpfZWTD+ZO7b26tYODUK3bf4G6Wi8k1EFYBUvlbsDpkP9tczOSGQQF/P1I0F2RGU1fXwcV4jFy9O+pqOUOW7jCIKrNtRNeHf1+2s4nurs+E0AoEggF0ReOyNQspqe/jBZVOpbx3kyXdL3QOU6FBv7lgzlX+9U8T5C5LQiAIDQ1b8fQzjCh3HqW3pJ9DXQEvXMIlRfmP+ftmKVEprunljSwX20eiaID8Dt1yYzdvbKhm22OnoGQGgvm2A1NgAntt4hNLqbgw6DctnxTJ7cgR7i1oYtpzohG7aX89ffriIt7ZWkZMSQsVJM/EnMzU1lHd3VXPegkS8RAFv08RCrii4BrKfhoJrYD0RZbU9DFvsiIwKOjKs21rFtoONOJwuYeWqVel46yUPY19BFKjvHOZPrxS4r7lBJ3HjeZlMnRT8hcyyRVGkonH8awTQ2WfG7nAyNyOMWRnhtPeOUFHfy7s7q/jeJVMore6mvnUAg06Dj0lH++g9G4+jdd3kl7UzYnFwy+ps1zP2JczifhORJJHD5e0Teiht2F1DalwA9z19wP1bVnIQd1ySg1ZwiTAOh5PZmRE8/X4pmcnBFFSMH5kDroitGelhAByu6GTZ9GgsNudpZ/KP1fVQ3dzPj6+cwcMvHWTE4qBn0EJUiDfNneObGMeF+/Lg83mcNTeBEauDA6Wt3LI6m8yEQF7ZeNRD/AGX8Pn75/J57O5FHr9HBJuobu6f8Nhau4axOWVe21LFrsJmFEVhVmYEV6xMdRm/ygopUb78+PJpOBUFrSSiOOVxDbHHQxxN1XrohXx3tJpGErhgUTLLcmM4d34iYUEm7n18j0c0xvuf1FBY3sGtq7P544sHAdd79JJlKZQ39HKktmfCfRZXdXHmrFhkNfrnO8uw2T6uQHiczt4R9DqJNUtTGLHYPdI9g/0N/PqG2Ww6UD+hSLtxdy1nz0ugq8+Mj0mHbYLIVUWBgSEbt1+UzZb8BvaXtpEaF8j0tDAy4oOYkR5Ga9cwd6zJ4dkNR6htcQm1guASpnInh1Nc1cnUlBD2l7aNu48FOZE4HP+5hx+AqCjEhZj44WU5OGUFneSa9Di5nWs0InZZQRIEFFn+XNmfXX3mCf9mtTsZNtvR/YdpbCoqKv8ZatydytdKQUUnA8M2ckc71SfjpdcwdVIIWw81MWKZuIOtovLfwumU6RmwTvj33gHraQ18JUlA0Ej8a10xR2p6mJ4WRn3bIB/uq/OYnW7qGOKx1wr5v6tm4mfUYrc5SYr2RxQFTmeBFeBjwGx1YHfI1LUMkDs53P232DAffI061u+q5vyFSfz82lx+evVM1ixN4Y2tFVy+IpVbLsxi/Sc1+Jp0zM2M5Cd/+4SSqm4UZTSMfVcNL354lBvOz/TYb2yYD0freth1uJm0uACC/Mb67vh768mZFMKH++r4/XP52JwKiZG+aCdISZqVGY5OIyILApIkIgiuTqd0inghigLBfl4TXhM/bx2a0ZBymwy/fGIvH+2vx+aQkRXIK2vnnr99wojds9M+bJO57+kDHoKbxebk728V0d5n/kJluRVFIeg0x6yRRPRaiRG7zJaDjTy3sYwjtT2sXjKJysZe3tpWSf7RdjbuqaW5Y2jCawgQGmhkyGyntXuYLfkNX2rJ4G8aoii4hYXxGLY4sJ1yn0uquvnrG4fdJdoBvDQCFy5OJjLIRGLkWCH1OIlRfrR0DhMWaCQ9PshVwU4jjpuudBwfk46iyk7e3FrB6sXJGHQSpdVdXHdOxrjrzcmKoLKxF4dTYcOeWuZlRzI4YufPLx+ib9jG/tLxy547nDI1zf1MivF3/zZicRDgox//uIxaMhIC6Rqt3udwyjhlhb3FLfzk764UN3BFKwmKggZQPq+5tkPhF0/s9bhHDqfCW9sqKanqJi0+kKM1PWNSccD1TuwZsBAb5kNStB8/uXIGB0rb6Ow14z/BOQEE+OjdkcQq30102tO/8/y89UQFe+Nl0PD29iqPdM+uPgvrRv32JqJ30IK3UcvlK1M/ddLCz1uHKAhcfMYk/u+qGXT2DnP1WWnsKW7mzS0V/OL6XB5/u9gt/oBLONpV2ExJVRc2h8yquQnox3mPJ0b5Ehvu86VEusmygiC72vnJEa+iKGBT4MO8Bh5+pYAn3z9Ce791wlL142HyOr24o/+U+6WiovLlowpAKl8rOw83Ex3iTZDv+Mat01JCsDtk9pSMP/uhovLfRKcRyUoKmvDvWUnBaMcZbAijnabC6h62HWpiWW4ct63O5owZ0Ww6yaAVXJEvS6bHcOvqbGwOGatDRtRIWO0OBoetXLo8lYgg05h9mAwa4iJ83ILFa5vLmZsVwRVnphEWaOS8hYnsK23lR1dMp7y+l98/l8dDL+SzbmcV585PxOZwUlbbTXvPCCtmxfH29spxxay61gEEBI8IvbT4QPLKXG3y8beLuWNNDstzYzF5aTEaNCydEcOvb5rN4+8UE+hrYHZmBFaHE50k8qsbZo0ZoEUEmbhkaQoPvniIv7xxmO4hG239VrYUNFNY3YNNwe2B4rA7OXPuWG+S41y0ZBJ+3npEUaC0pntcgcBqc/LOjiq394BGI7Elr35CMe+1zRV8kUB4WXaJXxN1dFfOjsNql7nnr5/w8kfHOFbXy4EjbfzqyX0MDNk5Z36Ce9n9pW0syIkadzs6jUhKTIA72mt/Savb9+XbiNMpk5U4cfuMDfeho3dstFRpdbcrHXMUSRJpbB+gf8jKWfPiueXCLH5+bS4/u2YmP7tmJmfPSyAu3IfzFiQwa3I45y1IxGiQaOwcQasRWTBl/PvhY9QiiQIjFgdltT1MSw3lZ9fkkhTlT6CvngdunUtWctBoyoeRq1alMzMjjDdGK/bJskL/kBUvvQZZgQ/21DIjY+xkyXH6hqzccfEUDKODxebOIaJDvd2CKICvScedl+Zw0wVZZCeH0Nk7wr3X5ZIWH+BeZths56P99RP6A30aggCiVuRoXY877e1U3thSgcXqIDl2YsGt4FgHv7h+FpcvTyWvrI227mH2FDVzxoyYCdc5f2HShBFKGo2IA3AofPu9sb7DGHUSabEB4/4txN8Lf289l61IZcMnNUxNDeHG8zO5+YIsZmeGI4oC1c39ZCeHTLj91LgAhsx2AnwMKAqknLQvjSSSmRjElEkhxIb70DNgobyhl58/vgenrHDW3EQOHe0gNtyXCxYl091vobV7eNz9bD/YyIy0MF768Cg/vzaX2ZkR6HUS/t56Ll2ews+unon2SzBonghBEBiwOPnRY7t49eMKjtX1sre4lZ/+cw/bCps/swjka9QR4j/+BEhaXID7faWiovLVoaaAqXxt9AxYONbQx1mzYidcxseoJTXWj62Hmlg6IxrxC8zCq6h8XpwOmVVz4vn4QMOYkHK9TmLF7LgxOfKCKFDbPsTvn8vzGHwnR/vzg8umemxHFODOS6dytK6HP77oCkMXBbjojGQW5ETT2D7E4LCN8xclEuBj4LkNZbR2D+Ol1/CrG2dj1Elcf+5knt1wBKes8JfXCkmJDeDONTkE+hnw99bzl1cLPUojt3WP8JfXCvjNjbPd4kh6fABvbz9RJv5Uymq7SYj0dc+KOpwyeq3r89HZZ+b+pw8wOzOCG86bjIBAXWs/xZVdzM2OICHSjw/21rLpQB0xoT6sXZnGP39yBgXlHXT2mpmcGITN7uS+pw4wZLbzs2tm8o+3i6huOpG6opFE7r12JvFh3iiygr9Rxw3nTeaZ9494hKIvy40lfXQgqwB7iif2czl0rINLz5iERgCnolBzGmPupo4hnLLyhYxv9ZLAL2/I5f6n8zyegeRoPy5clMTj7xSPm0r0/u4afnXDLD7Y64oa213Uws+umUljxyCVDX3u5XQakZ9cPYOC8g6uXJWGJIo8vb4UWZY5bRjZ/zDHTYMjgkzjDqIuXjKJ1zaXj7vusMWBSetKSVRQKCjvom+wmWvPyWDjnlo0ksgVZ6bR1j2MoiicuyARk5eOZ98/TMVJXk6xYT7ce10uzZ1DHulWRoOGOy+dyssfHXP/1t1v4cHn80iLD0QjCazbUc1vb5lNfcsggyM2dhQ0jfGJCvDRs2pOPO/sqKK+bZCZ6aHsnuB6pMUF4uul4S8/XMTRuh4a2gbRaER+cX0uv3s2D0kUuPvyaTy1vpSmjhPpZ3qdxA8um4osV7vTOfPL2jl7Tjyfd2gmCAI2GT7eXXfa1LjOPjODI3a8DBpC/L3oHCdNJMjPgO14iohWYlpqKGnxgQyN2Fg5O45N++s9lr98RQoh/gZXxT1FYNjqwO5w4mPUodWIfJTfyJa8BhxOhYU5UayaE49eQvUK+pYhAnddNpXfPLXfI13W16Tj3utyMVtdkXE3np9JUWUX7+2qRpYVcjPC+dUNs/jnW0XERfjg76On75RKfaIAFyxKIirEm9qWfqw2B7etzuLB5/OZmx1JZlIQJVVd2B0ylyydRHv3CNmTglk4NYon15VQVNXl3lZYoBcXn5Ey4XnYHDIKCpWNfTz0fD6LpkVz2+pskqL9MOo1SIqC/F+ooi5KAlaHgsMh8+R7JR7p38d5+aNjzM2KwOszpBfrJbj3ulzXhMZJEbZhgUbuunQqEl9GnTEVFZXPgyoAqXxtHDzWgUYSPELWxyMnOYRXt1ZS0dBHWtz4szoqKv8tjDqRB2+fx+PvFLsHZykx/ty2OhujRhgzeLCMmtKeGnlR1dTHxj21LJ4WzZb8RgCWzIihrLaHjw+cGMgkRPmRGOXPPY/t8vAW8PPW8cvrZ9HePUJ8lC8+eg2KojAvM5zpaaGU1fbglGWmpoQgK+CUZXoHrR7iz3EUxVWB57IVKSRF+RMd6oOXXjPhbL3RoPUYYB+r6+HmC7Pc6ShOWWFPcYtbcFm7MpW+QQveRh1/fqXAvV7/UDc/f3wPd67JYU5mOBpR4K0d1by702XYuXhaNHuKWzzEH3AJTr97Lp+//2gxulGT2rmTw5ie6jpvm8NJZmIQRr3GbXgsCgI+p/EcMhm0o2ldLl+DpEg/iiu7xl02Jmw0iuIL9LYVWSEq0Mhjdy+iprmf7gELKTH+BPoacDhlCson9jUqr+8lPsKXmuZ+HE6ZR14+xP23zKGrz0JjxyAh/l54G7W8u6Oa0hpXeeLoUG/+7+oZaDQiIt/eQa5WgN/cOIvnPzjK/tJWZAVCA7y44bxMCso7aOkaf3bd28vV/Tmeapgc7cfU1FB2FTYxNTWUnJQQ/vTyIY82YTRo+NHa6Ty1vpTW0e02tA/y7IYjXHfuZGRZobSmm6BR8fW1j8s9DJglSUBWYMWsOJ7bWEbfkJWOHjNvbqt0m7KfjJdeg9nqxNuoZWZGGEG+BtLiA8c9n/T4QHyMWmRZQSfAtORgZqSE4BytnPW3Hy2mb8jKu7tqPMQfcEXE/fX1w/zgsqk8+Hy++1xHm8enIoyap/cMWPE16Xjw+XwEwXWeExES4EX/kJVhs42wQOMYAchLr+H8hUnc/8wBj0G8KAp87+IpxEf48OsbZ1PfNoBRr2FyQhAGrYgkQL/ZwR9fOuT2WNJpRM5flISXXuMWvd/dVc3OwiYeun3et9ok/buKViPys2tm0to9THPHEPERvkSH+bDhk2o27Knjz3ct5Kn3Sj3eDx/uq+PAkTbuXJNDR88ID9wyl6fWl1JU2YmiuN6pl61IZfOBBnRaibUrUylv6GPYPMTda6dz4EgrDzyT597eB3vrmDIphO9fMoUP99V5iD8AfUM2vE+THqXTiAijqapmq4OP9tVR3dTHrMnhbNhdyx++9/mfXUV0FaPoHbDiY9Ti7aV1CTCjMymKILD3SDsvfHCUH14+jdKTyt2fypGabmalhX6qUbTTqeDvpeHhOxbQ2D5IS9cw8RG+hAca0Ynf3m+Tiso3GVUAUvnayDvWQULExGkRx4kOMRHoo2dXcYsqAKl85chOhUCTlv+7cjpWuwwC6DUiGmFsx0WSRI7WdE2YdrPtYCO/vXmOWwCakxVB/pE2fnr1TAAGR2wE+Bp47LWCMcaS/UM2/vVOCXesmcKWvAaqm/qJDvVm5ex49DqRaamhaCSBpo4h3tpWhclr/Ne7v4+eM+fEkxjph7+3gcjJJiRJ5IwZMWyYoKT7zPQwNu6pQRRgWloY5y1IJDzIyBkzotl2sMlj2ZTYAGJCfdBoRB556dC423tqfSn33TwHX5POYxY/d3I4j75aMO46DqfMsYZepiYF4nQqCIqrhO3MVFeovtMpu5St0Q6z0ymzanYcOw414WvSsXJ2HMnR/gC0dA0T6KtHrxFwOBQcDifLcmNdZevHuXeXLU91VQ4b98g+O8ro4Dwj1h9BEJBlGUVxVV07nammrCge0Y82u5PBETuPvV7Ir2+czV9ePURbj+cAuqljiG35jZy7MBFfoxa+pZ1sRVHQCnDjuRlctSoNh1NBrxXRayS25o9fPnnKpBC8dBKyAt0DFg7srWfZrDh2FTZR3zrI+QuTeHJdyRhBdMTi4Il1xdx56VT++OJB92x2Xlk7Z8yIpbq5jxGzna35DXT3e3qIZCYGuYVNg05D36CV1NgAZFnhrktz+OUT+zwq+UmiMOrRVU11cz8/WjudsEAjH+6r4weXTeWtbZU0dQxh0EksmR7DtLRQSqq6yB0dkLn+ndi/TgA/k568CTyEzFYHQ2Y7ft46+odsnL8wEa2IxzbGvf6CQEFFF+t2VnPm7DgyEoO45uwMKht7iQ71xmTQjBtBcN6CRD7Oq+fseQn4eY8dBF937mRe2nRsjOG5LCs8/nYRP7sml0dePsSjP1iIXhTc7d8qwy+e2OvhK2RzyLy5tZIbz8t0V28C6B20siW/kXPmxuGcwMj3P0EQQBFErA4Zpyxj0Eqj1/Lb2Qa/CgTBZaavKMqnCgZ2BX797320dg3ja9IxMz2M5Bh/Co51sGFPHYlRfpRUd40rDvcMWDhc2cniadHuyNcLFiVhMmhdVTSH7Rj0GvYWt3Lh4mTCAr3QaUy0do+MW3msqLLT9ZyNU8rdanMybLETGWwa91jOmBnL3pITUazeXlouX5HK398som/Iykf767lgfsJnrtTlFAQef7vEY7IhLtyHn149Ey+NgCBAZYurQMVn2t7n+KbIsoIWSI7wYVKk72glxIkjmMxWByN2GYdTRqeR0EvCl1KRTEVFxYUqAKl8LfQOWqlpGeDs2RPPEB5HEAQyEwPZV9qOeYUDL7362Kp8tciygojLLBYARRl3PO0q9336ihcaSWDl7DjqWweICDIxbHXw8EsHccoKkcEmblmdPa4pKriiiDp7zXy0r56ESF8qG/v4+MBO7l47HavdiV4rERpoZGluDJIoYLY42F/a5ja5TIry48pV6byxpYLXPnalxkyK8efaczKYmx1BWW0PNadUDVq7MpWeQTP3XDEDgCO13fzhhXx+cNlUrliRxrLcODbnNWCzOTljRgySJPDwi/l8f83UCSuxjFgcdPVZ0GslDxNNQcDtXzMevYMWd9TOcU7XKQzyNXDd2enERfjx1rZK3hz1VkmK8uOW1dkeHVijVuTXN87mT68UuMP+jQYNN52fRaifwT1D+mXgGsCc2J5OEshMCppwtjUtLtBjcLFm6SSigk3cf8sc7A6Za86ezM7C5jEGwTsLm8mdHI6XzodvfY0VWUEvCuhH092cDic3nZ+JokD+0Xb3YlNTQrj9omwE4OODjZTV9HDp8hR+/NddbqHi3AWJtPeMIAgusSgnJQRFcZWWL67qwumUufvyaTz9/hEa2weRZQWNJHCstofzFyXR2j3sFoDiInxZOSuWtPhAfvXkPmC0otXSSfh763liXQn+Pnr+8P357C1uoa51kLBAL6amhLJhTy1loxWvvL20mAwSH+2ro7S6izNnxxPs74XDKbOnuIUHn8/n1guzJrw8giBgczhOqwMODNsw6l3m0GmxAZ8qWAiCQEe/hV1FzVxzdgavbS7n6fePAC7Ba3pqKL++aTZ/fqWAtm6XkKPViJwzPxGHU6GmuZ+UmABCA4wsnBrDJ4XNaDQiMzPCCA008q+3i07ZH8ybEsn87ChMXloevmMBOklwizeSJFBW18u01FCSov2x2BzsLmqhoc0VXfXeJ9VcvGSSWwAC2F3UwvLcmC+tMyyKAiMOhafXF1NQ3oGiuNIEb7kwi4gAr9MrvSpjEARwItA9YKWqqY9gPwPxEb7opbHRtwCiJPLOtkp3hN7AsI2ZGeGU1/dycPQ9MDkxiPyy9jHrHufg0XZSYwPo6nd9b5o7hnh7u8sYWiOJnLcgkftuno1GEqhqHCQtPpCefgvXnzsZq83J7qJm6ttORPQNDtsYHBm/mudLHx3j3utyeeKdEvdzKQqweHoM58xLYEtePbMzI5gU40dCpB/PbSxzp2LvKW7h3PkJyILrWmg14sRG7aLACx8cGxNpWt82yO+fy+O+m+eAAO+cVPW0oX2QSTH+Y9JSj5OZGPS5RZlTv32nIggCFqfCv18vZE9JK7KsEBZo5MbzJpMY4fuFqnGqqKicQB1Jq3wtFFd3IQiQGOn7mZbPiAvkk6JWDpV3Mj874r98dCoq/xlOp0xG/MSmtFEh3hgNWs5fmMSIxc4jLx2i9qQUkf4h62lLpmokkUBfA3ddOpWjdd2jYehpHDrazuyscOwOhbe3VVLV2EeAr4HzFiTyyJ0L2FnYxHs7q7n5wiwq6ntZOTuO7ORgtuQ3UNnYx2//vZ9f3jCLc+YnIIkiR2q6CfDRkxoXwP7SVl7ZNNZHZchsZ9ji4K+vF5IY5Yckirz2cTlXnZ3GH+5YyPBp/D/ANVDKP9rOLRdmIQgCGkkkNMA4oZ8LuISQz9PhFBWFWZmR/OivuzyOp7q5n5//cw+P/mChq9w1ruicmGAjf/zefIbMdmRZwceoRa8Rkf/LM4+CIHDZ8lTubzyA1eYpmi2bGYOsKHjpJcICfTlvYSIpsQE8t7GM/UfakGUFg05i1dx4bl2dzb/eKXav63C6yvX2DtoI9Zk4He7biqQo3LY6i2usGYxYXH4zoiC4hD9RICspmLlZEfzrnWKPKBWnU8HfR8+da3Ioqe5yR6nNzYrg/IVJSJJAd7+FH62dxjMbjtDYNohBryE2wherzcn5C5O4ZGkyft4Gyut7qWsdwGgY5MHb5pFX1k5D2wDBfl48PnqvegYstHWPUFjeSXiwibrWQd7/pMZDrHGJuAJLpkez/VATT60fO0s/OWGCAZkoUNs2xKDZNq6vyXFSYvyZnBhIoLce8TMMtBRB4N1d1axenMwDzxzwiJ4rrenmgWfz+PWNs/nZNbl09o7gcCpIksDOwibW7ajiwsXJiKJL9N18oJ6Vc+PZfrCRx98u5vuX5HicvyjAHWumUtnUx6OvFmC1O5FEgSXTY7h0WQqSIiNKIuFBJkRR4P3dNXh7aVmeG4vRoOWfbxXR2WvG19uzHWi14kn14L44Vlnh3sf30HvSNW5oH+SXT+zl4TsWEGjSqhrQ58CBwB9ePEjVSWnBsWE+3HPldAxaCQHQSSeiq2xOhW2jEbbgqjDlcMpoJNH9DXA65dNWUtRpJVq6hslKCqK+bZB/v+dqaxkJgVy0ZBKNHYPsLmohKzmYtLhABEGgpqWf4qouTAYtS2fG4m10PXMOp0JD+yApsQGU1/eO2VffoJXmjiGuPDONAF8DHT0jhAebEASobx0gJMDIgqlR/OudEl788ISfmCgKXHVWOqU1Pby7q5rBERtTJoVw4cIkjDpxjBG6xS6zp6h5zP7nT4lk6cxYdhe3MDBs46y5CSyeFs2zG8r4aF8dt12UzR9fODgmIvnc+QkYddKXLmg6gN8+dcCdvgnQ3jPC757L5zc3ziYhzKRG0qmofAmoApDK18Lhqi5XGc7PGM3ja9IRE+bN3tJWVQBS+caiKC5vi8QoX2qax5oKX7Y8hY6eER57vZAbzs/0EH/AZUwb6OsyMR2vX3X32mm89NGps3iVXLosBZNBxz1/3eWOaunsM/PIy4c4e14Cc7IiOGNaDBVNfWzOa6Cjd4T4SF9uOC+TwxWdfHygnh0FzVjtDkqru0mM9GN2Zjj/eqd4wjLbCVF+/PaZ/TgdMlWNfQQHePG9NTn0DliobHDN1B5PJzmVYH8DQ2Ybw2Y7pig/HnnpEMNmO3HhPqxZnsJjrxWOWScp2o/gzxmJI2lE9hY0jytGOZwyb2+v5JpVaSjHS147XWVw/b00aLUSsqIgwBeqAPZZGLY5eOGDo9x7bS47C5s5WtuNr7eOpTNicThlAn31PHzHAkRBYMTq4LHXCjla1+Ne32Jzsm5HNRcuTmJOVgT7SlyRQPERvrT3DLv9br5ryIJAc/sQkkZk28EGQEBRFBQU5mZFotNK9AxYOFrnOTCTJIE7LsnhyXdL3JErAG9vr2JfSSv3XjeL3z2bj5dew9KZMVx39mSe3VhKcWU3739Sw8KpkZy3IIkfPbbLI43Mz1vHr26YjQA88Gyexz5HLHY6+8w0tA+yaFo0K0ejY4srOyms6MRqd7LrcDMrZ8fTO2Dh8Cl+VWtXpGLQiuO+OKwOhT++dHB0AJvM0+uPjFlmyqRgIoNNSIKC7Bw/wvFUHLJMcpQfmw80jJs6OWS2k1fWhtniIHdyOHtLmjhW10Ogr4EfrZ02GmUl8NjrhfiadNQ09bO32PXs9g1ZCQ8yuq//khmxHK3z9Etzygpb8hsYGLZyywWZ9A3b+cW/9mIZFVE7e808vf4IM9PDuHJVOht21zB0SnTlWXPj0WtEHF9CCpgkiRRWdHqIP8eRFXjpo3LuuDgbFDWV5bMgSgIvfFjuIf6cvzCRpCh//vbGYRrbBwkPMrF2ZSpJo9EhiqJ4iBWSJGC1O6lq6iMrOZiWrmHyj7Zz6bIUCis6x93vgpwodh9uJjspiNrmfpbnxgIK09LC+MML+e7tr/+khhB/L+5Yk8OB0jaGzHY6MfPM+0eYnhbKlavSeW5DGV19Zq48M41fPblvTPMMDzKi0Yj85qn9zMuOJNjfgCQJVDT28drH5fj76Ljlwmx3FNtx1q5Ipb510NVOAo00dwyxJa+BTwqb+eP35+Nr0Hh8Ky0255g2vSAnitS4AO57er/HcU2K8edHV0zj98/m8c72Kn5x/Sy2H2qivL4Hfx89S2fG4ncaf73/FFEUqO8Y8hB/TuaZDUf45bW5n9uYXkVFZSxqHUyVrxy7Q+ZoXS9JnzH65zgZcYGUN/bRP46prYrKNwUNCj+7eiYrZsW6Zxkjgk3ceWkOoQFG/vjSQYL8vKhrGb/qVMGxDpZMH1vmODU2gK4+87hmwa9vqaB30OJR7vk4G/fUIgoCpbXdeHtpGTLbsdicHKvr5Y8vHiQp2o+0+AAqGnqJC/Olb9BKQXkHr2wq5+IzJo17jHOzIzDqNPzq+tncdelUbjgvk+9dNIWmjkF++9R+nt1whJLqLh64dS4GnecxaTUiN5yXyXs7q5maGuoWf8AVjl5e18Oda3KICDK5l185O46fXjUDzWlCx0VRwIlAv8VBRUMvFqeMU4aiCYydAY7U9mB3KB7bEDUigzYnr22r4q9vFbO1oBmb4hqMnA5BEBA/Z7UtQRBwCgKNbYNUNPRy39P7sdodLJ0ZS2ZiMG9tq+SJdSWAgGm0VK4sKx7iz8l8uLeOJdOjiQw24W3UcsnSSXx8oJ7gCUrwftuQNCKKICBKIpJG4OCxDmpa+hmx2EmPD2J49Nmfnx1FiL8X/3jzMFbb2MF4VVMfda39HuLPcVq6hjl4tI3oUG96Biy8ubWSx98uYmFOtHuZnJRQHnw+f4yHUP+Qjb++XohGI3LugkSP4mzv7qzmjkum8LNrZtI/ZOWRlw/xp5cP0T9s4+fX5jJisVNQ3sGvn9zHzRdmcdnyFFJjA5idGc6Dt83jjOnR46ZHaLUiwxY7d106lTlZkWQkBHHnmhxCAlzPhF4ncd6CRG6+IIuXPzrGq1srqesYxvkpFTdFScSpwLT0MHflMHANHs9fmMQ58xMICzRS3tCLrCh8uK+WFbNiWZYby6RYf57bWMae4hb6hqz0DVpp7RomKfpESfgP99Zy2fJU9/9nZ4aPinhjyStrx2xz8tzGMrf4o9dJXLAoid/cOJuluTFMmRTMFWemseUkX6jU2ACmp4aOEX8k6fO35ePrHTo2sZn7sfoeHP+Nsk3fUiwOhU8On4hamZoaQoCvgT+/WkBlYx8Wm5O61gF+/1w+O4taEEQBjSgwZdKJEu4jo5MqB8vamJcdidGgobPXjFNWmJYaOmafaXEBRAQbiQ7zQRBFJEmkZ8DCstw4/v7G4TGRMJ19Zt7YWsGqufEevx861kF4oAl/Hz1zMiOw2p3cc8V04sJ9AJfH17zsSG5dnc1To547e0tamJEehl4rcbiig6vPSuc3N83F6VS489IcfnnDLB64ZQ5//P58Fk+LZmZGGFEhJnxMOu65cjoXn5FMgK+e5z44inzK4+ul13ikW4sCnDEjhqfXl44RpSob+ygo72RmRjhltT3c9/QBBBTuuXI6afGBvLa5nAeezWPY+ikGYZ8TSRJPazrd0DaI41vqZaei8lXz3ZwWVPlaqWrqw+aQSYjw+VzrTYr24+N8gYPlnSydHv3pK6iofEkIoojF4cTmcBl6GvUSNoeMKIrYHTIWmwONJLpn4CVF4fJlKVy0OBmbU0GWZXRaCYvNwX03z2FfaaurKkmo95iKPB/uq+UX180iMcqPd0Z9B6JCvLn5wiwefunghMe4r6SVnJQQDhxpG/O34xXIFMXVkfzds3l46TWEBRrZlt/I2fMS2JzX4FG2eWDYiiQJPHj7PFq7h10mmKKAXicRHerN0bpe/vp6oXvAJYoCFy5K4r6b5/CrJ/fxxtZKalsH+PMPFvPh3jqGzDbmTYkkyNeLviEra5alYLE5xkTnfLS/HpvDyS+uz0WWFSRJxKiTkB3OCeUfURIYtsrUtw+y/VAjA0M20uIDmJsdyZVnplJS1TluRIO/tx5JFJCBEauDqqZ+dFoJg16iuXOIwxWdHDrWwZvbKvn9bfPw99KM8Z0QRysgtXQO0T1gIT7CF3+T7jOl0NgVVyTI5StcA12HU2H34RZ2H/YsX+/tpWH74RY259Wzam7CuNuKCfNm7co0jAYtK2fHExvugygIo6WuhTEpAd8WRFEAQcDskNl5oIHC8k78ffScuyCRSTEBGPQSf3vzMMdOivLZV9LKjPRQ1ixLpbNvhNQ4lxmz2eqgqWMIRcEdiTIee4tbyUoOprKxDx+jluxJISRG+XHvtbn0D1vx99Hj563H30dPfeug24MLXCJnR+8ItS39XHFmOjsLmwj28yIzKYhAPwPtPWayk4Np6hiisX2QfSWtHKnp5ve3zeMvNYUoisu35rLlKazMjUUAlFEz8fGuTdegnd89m+cRlXLe/ETuvTaX3kErft46jtR0UdXUR05qKO09IwxZ7NS3DZIQ6YswTkqZIoocru7mn28VsXpJMv4+euxOmdsvmkJD2wCHjnWg1YpctCSZkAAvokK8EQXo6rNQ1zqA2eLg2rMzSI8LoGZUCLc7ZGqbB5idGc7+0jbq2wYpruriniuns257FU6ngmM0NS80wEjfoMUjOrF7wOqugDdrcjhXrkqjuqmf2tYBokO9qWjoJSbEh9mZ4fh561k2M4aECF80nDB3lwWBIYuD6qZ+fE1aYsJ8PnfbOS6sjYe/j360qtO3sy1+2dgdsodP24pZcfz19cPjLvvKpnJXWXKtxM0XZNLdb0EQXIUX9pW0smJ2PM+8f4T/u3omG/fU8vR7JVx/bibnLUikpLqLngEz58xPwqCT0IgCNrvMj/+2C0VxecG1d4+Ma2YOUFrdzfkLkzx+S472x+Sl4Tc3zmbYYifQx8Az75dy56VT6Rx9bgvK23nw+Xx32q+igEEn4aXXcvtFU1i3o4oXPjjq3qavScfPrpmJ3Snz6uYKGtsHiQwxsXRGDHqtREyYL+cuMBARZMIpuyokSpLo2q4Ey3Pj+HBfHQCTYgIoq+2eMINr+8FGbrsomwNH2vAxasmdHMFT75Vid8hctjwVo0GDzeFE8NKALH8pmWAOBLyNE7vVGQ0aRDVsQUXlS0EVgFS+ckrrejAZNIR8zllpL72G+AgfDpS1qQKQyleCILg6JS99dJTdh1tQgJ9cNR3H6IA/xN+LVzaVu0sY50wK4eYLs1zl4Z0yXloRh+zk9a2VRIZ4ExZoJCrUxIy0MEqru1iWG0tsmA/v766hsLwTjSTyoyumsa+0leaOIdauTMXXpEOvkzDopAnNocFVQcwwQUqlJArIikJnr5kDpa3ce10uA8M2alsGCPTVkxDlyy0XZtHZN4KvUUtStD+9g1YUXB27d3dWu0PQE6P8uP2ibNbvrHaLP+CKTHl7exUJUX5kJwdTXNVFflk7585PZEVuDCM2J0+9V+o2lIwO9eaqVelMSw31iGq654pphAeZ2F3Ugt0hkxoXwIjFTlpcIDqBcQe6NidsOlDP+k9q3L+VN/SyJa+BX984mwVTo9lZ0DRmvYuWJCNKAs9sOOox06zViNy6OhudViLvSBsjFgd/f7OIn1413SNsVhQFOgas/Pap/R6Dg/T4QO5eOxXpNANHURJ5f2c1De2D2B0yAT76cVNHrlqVxqb9Dbyzowq9VsLfW+/x9wAfPTedn0V0mDd/eOGgR/h8oK+BX984G0ESUeQvd7b2m4AsCjR0DKHRSDz4XJ7HPThwpI3rzsnAaNB4iD/HOXi0g7nZkYT4e3HlmWkUlHfi560jNsyH7n4L0jjRdMeRJFcqWVigkdsvnsJbWyt5a5vLYPyy5SkkR/uTmxGGU1a4fEUqFfV9vLmtwj1IcjgUdhU288CtcQT66okM8ebZ9Ufcg73IYBPXnpPBtoON7C9tY2DYxtaDDeRMCqGwopPy+l6cMkgCp01dssoKv3xir4ewC7B+dw2KoJAU5Y9OK5I9KZQ/PJ/vUYkoLNDIz6/NJcCoGbOP/hEbj73uEqN2FjZzwcIkQgK8+Pe7pR7+XcWVXUxPC+PWCzMRZYUwPz03npPhug6KgigKRASb3Mu/trmc71+Sw6SYADbn1bO3uMVt2G7QSfzoimk4HC5PlZAAL0L8vXjt43Kqm/vx8dLidMqsXpJEZmIw9zz2iYcJ/fS0ULxn6JicEMSyadE4nbKrEtHo32VR5F/rStxGweDyj/n5tTOJD/P+TFXCjhvhv7erZty/X7goyV15UOXT0WtEj/eigOBRKe9kHE6Z3kErRW0DhAWaqG0dYGjExsKcKPx89AyPOEiLD+TlD4+SnhDIRbfOw9tLS1ltD37eOhZNiwbFVahhyCHz19cPu9urQadhyHJ6T7uTRd7jFScfe72Qrj6XYXPOpBBuuiAbUHjohfxxtxES4IVOq+HVj48RFeLD9kOe36wgPwM9Axb+/EqBWxiraOhlZ0ETt67OZk9xC8WVXeg0IvdcOR0/bz2l1d34GLVkJQVz0ZJknIrC1rwG0hMCSIsL4LbV2ZTV9bCnqMXjHMxWB4mRftx7XS7DZjuvbS4nPT6QhEhfXtl0zC2wTUsN5cbzMvHSjG/K/VnRaCXe2F7J9LQwJFEYt8LY2XPjMWjEL7Vin4rKdxVVAFL5yimt6SEu3Ge0ms/nIyXan015DfQP2/4rOcgqKifjROCRVwpo7RpmdmYE5y9MZOvBRgrLO7j67IwxZc4PV3byi3/t5cHb56IFRuwKBeUdnD0vgUPH2nljSzkBvgbOmpvAkNnOe5vK0UgC378kB4CkKH92FjTR0DZIcow/+WXtHK7sxGpz8qO108hKCmJ/6dgIH4Ds5BA+Gp3dO5njg6zOXjN6ncSszAieXu+qXnQcnUbkh2unsTWvAS+DlkmxAWw72MDFS1P41ZP7PDqGNc393Pv4Xn5+XS6/fWr/mE7fuu1VXLUqneIqV+pVVVMfafGB3P/0AY/Oe1PHEH988SC/vH4WZbXdWGxOrj93Mk0dwzzysmcp+HnZkQiCQHpswJj8f1EUGBqxe4g/xxm2OHhp0zFuPj+LXYVNHrOUZ82JZ1KMP3uKWz3EH3DNPP/jrSJ+df0s8svaUBTXeVjsTownmYdanQq/eWr/mFSfo3U9vLGlkitWpCBP0Fm1OWW2jJqVvrG1gjvW5PDoqwUeIl9ksInZmRHc9ecdrv3ZndjsToL8DHT3WzAZNPzg8mk0tA2wYU/NGO+EngELDz7vMuI1iMKXWsns60KjEdHqJBQENuypxWaXKa/vHXd2fsTiYFfhWONTAI0kEB5o4pn3j3hUhdJIAr+4bhZnzonzSG06mTNmxDApxp/MxCD+8mqBe4C6ZlkKwxYHP3h0p8fyi6dFc8N5mTz1Xil6neROL9qc18CqOfHc9/QBj0i4lq5hHno+nz/esYCO3hFqmgcoquxieloohRWdxIX7opFENBrRlfrolMcYo4qiQGPr4Bjx5zibDzSQfmkQ9z6+l+zkYK5clc4fXzwRYdjeM8JfXy/kp1fP8GhzWr2WjVsr3W2ptWsYf289JdVd45q3HzrWTktXAnEhJmRZwWF3IgsC/SM2iiq6mJ0VwYz0MA4ebccpKzz2eiGTYvw5Z77L7FynEXlqfSk3nZ/Jix8c9Yj6MRo03L12Gh/tq8Og13Dnmhxiwnz58d92jfEkOnSsg9hwX8rrejh/QaJHhJ4kiXyc1+Ah/oCrvd3/TB6P3LkAb4PmM0X1+Rhcx/H3t4o83o0Lp0YxLSXkS/Ea+q6g14hcc1YGf3nd5QknfUoariwraDQS9z9zwC0gvL29ipQYf+64dCreRi1zp0QSF+ZDT7+Fex/fw8Kp0cyaHM6uwiZmZ0bQ3W9myGz3+Ob1DVmJj5jYssDXpHNXrwwPMjI5MYg/v+L5DTtc2cn9z+zn/66eOWFlrWvOyuDB5/O4dFkqz24Y69N17oJEnl5/ZIw4oijw3IYyfn5tLv7eehZNi+ad7VUcqTmRTiUK8IPLp3H50klctDiZ3UUtPPluKVabk6mpofzqhlk8tb7UPdGTGhuAQSuxYXctRZWdRASbSIsP5NFXCzz2e+hYBw3t+/jdLXO+0IBy2OZkc14DLZ3D3LEmh7+/WeRxD7KTgzlzdrwq/qiofEmoApDKV8qQ2U5jxxBnzYr9j9ZPjvJlkwBFVV0snBL5JR+dioonfcM2FkyJwtdbx8Gj7by/u4bpaWEsnhbN8xvLxix/PDqjqqmfKYmBDA3bCfA18P7uGvRaiWvPnkxT5xCPvlrA1WdlMD0tlEPHOvj7m4f5w/cXoNOINHYM0TdkpbSqC2+jjh+tnc7Ruh6efLeU+26Zw8GjHR4dI4DQAC+ykoN56aOjY47pipVpbDvoEhrOmB7Dpv31HuIPgM0h85fXCvnR2un8/rk8DpS28uDt89iwp3bMvsA1MDpQ2sr0tNAx5XQ7ekcwnmQ6HBPmQ1FF57gzt05Z4eO8ehbkRLGnuIXEKD9+8a+9Y5bbU9zC5MQg+oatBHvrPIQcrVakpGpin5/iSlfFwX/cs4SjdT04nAoZCYEYdRJOp8w7J5VXPxlZViit6SYtLtDtuXPygE4QBBraBsaIP+AS1Eqquxm2OjBppQlmRgX3oKGpY4jnNpZx+0VTGLE66OwzkxTlhzQqbp08mH1tczl3XJLD3948zOLRjv65CxLc5cJPpa17hN5BK/Gh3lg+ZRb7m45DEKhpHmBHQROSKHDGjBiCA7x4d9f491Ajie5rfBxBgAAfAzMzQtle0Ogh/ogCrF2ZxojVQWiAkdTYAMpPEYEyEgLRakT6Bm34eRvoHbSikQSiQr2Jj/D1EFGOs6OgicmJQYQFGlmQE8WOQ672GOpvoLiqc1yTclmB1zZX8H9XzeTvbx1GQMBicyKKAitmxVLd3M+m/XUMDtuYPyWS5Gh/tCdFyAmCMK6H0XEsNifi6CRMcVUXqXEBZCYFeXhwVDf3M2J14nOSj5fdIdN+yna7+s1jRNST2bS/nlsvzMJicdDVb0bBJTClJwZQ2djLVavSCQnwonfAwtysSLwMGnyMOrcJ9CVLU3hiXckYQ/oRi4O/v1HEfbfMQZFlfL31HK7sGNeQGmDzgXpuPD8TWfE0wLQ4ZN4fR0AGV2THoWMdWKx2zpwVhwinn7ySFXKSgvjHPUsob+jFbHWQER+I6TMKSConcDplMhMD+eHlU3l+41H6Bq2EBRpp7xn7XPt56/Ax6fjlk/vGvG8rGvvYfKCe6DATx+p6iQv35U+vHCIpyp/Zk8MIG/Wbe3dXNX5GHanxgR7rJ0T4IgCzMyPYXzo2NfTyFaluc/KVs+N5Z3vVmGXAlQLZ0TPC7Rdl86dXCjzSv6NDvAkbfd4NeomBYc/iCSaDhgAfPQPD43tgmq0O7A4nsWHelNf1eIg/4HqfPPpqAX+/ZwmPvlZAVeMJY+3thxrJO9LK/1090yWeOWWuOzcDrQg3nT+ZP750iOW5sby9vXLcfXf2mqlrGyQl0vc/jgKyO2SsNicF5R04ZYWfXjODjh4zgyM24iN8MXlp0WsEbGNrSqioqPwHqAKQylfKsdEymLFhn8//5zhGg5aoYG8KKztVAUjlv8rxWfqiyk7yT5oZ/uRwC1MmBXPmnHj38zxrcjgrZ8fR3W/B4ZQJ8ffC6nTNZlc3ndzRamLJ9BjWrkzj9c3l/PDyaRw61jFaKnaASTEBvPThUY9UjK35DZy/MIkl06MRBYGHvj+fZ98v5UhNDxpJYP6UKC5dnoLV5uDB2+eTd6SVkupuAnwNzJ8SyaFjHewucnnK5KSE8IdxBqgAVpuT/iErgb6uMPP6tkGP6iunUtXUT2ZS0BgBKD7CD6dD4e6109BrJaJCvKlu6kMUxw8Rr27q55z5CdjsYWw+qcLPqWzNbyAqJB3Jz+Axi+504hrVnwYBMEgCM1KCAVfEhEtFEugdtEy4Xne/xe1JEBZoxKA7EQshigLdA57r+pp0XHFmGv7eejp7zfQO2tD6e6Eb59y1Iq7KSMWue9PQNsgfXjzo8o8x6UiN8Scy2Jthq6c40NY9whPrSrhqVTqx4T68vb2KM+fEnfb8Ryz2/3nXEacg8pfXCjyErp2FzczNjuD+m+fws3/ucftajVjsdPSaOVLbzRkzYrA7ZWLDfAjw0SOKAlVNfUyKCeBn/9jtsY+rz86guqmf1zdXsGhaFNeem0Fb9wifFDYjCK4BoCgK/POtYn54+TQ6+1yDuUA/A6IgeFSoOpWtBxu4/aJsqpr62TtapW3KpBDW7RxfvAJX1FlL1zBrl6ditjl4buNRHr5jPtsONfLGlhODsb0lrUSHevOrG2a5O3WyLBN/mkILft46LLYT4uXmvAauWJk2xoTVanPgozsRbavTQHKMv9tvB0AQBSbyNtZpROZmR9DaM0JlQx++Jh0ajci+klauPiuDYH9XFNGqOfHUNPfz5LvFDJkdJEb5cvfl03jpw6NcfMakCQXOviErA8M2QgO82HO4BS/DxN3aIbMdk2Gsx4isMKG/C7gi6epbB5iXE0VHzwiyrJDoUNBNVI5IUdCLkJPoKhF+4n2j8nkRFYWcxCDSb5+HLCvER/jyyyf2eqQfaySRe66YTnv3ENeenUF8hC+CAGark6N1PWw+UM/HB+r5y92LmJYaxsCQjXuumEF4kBFJFHjy3VJKql2TCJIIi6bHeFTiPGteAo++WsCVq9KJDDHx8f56hsx2IoJMXLg4iaykYIbMdkRRYFKM/7iTQ8dxFSVQ+N7FU5AkgfrWQUIDjIT4G9yp5P1DNrfQFR/hy5plKTgcMn1DNn56zUwa2gZ57ePyMYbUFpuTYH8jT42WrT8VRXH5n41XLGLY4mDrwUZWL05makoI4aN9mIFhGxefMYnESL9xqwce50hNN+kx/sj/YaqxTiPia9IxMGyjqLKTospOQgO8MOg1vLO9inuvy8Xh+PalMauofF2oApDKV8qxhl4CffT4foH0raRIX/YdacPukN1VllRUvnQEgZ4Bi4f4c5yiyi6WzYzl1tVZBPl6AQp/fPGgu1OalRTM5MRAD/HnONsPNfKTq2YgiYLHmEBA4IM9tR7iz3He21XNr2+ahU4roigKV5yZjlGvwWpzYNBr+O2/99M2OiualRTM2pWpHKnp5pGXD7kNJo9zuhm6gWEbXqM+QnWtLn+gU6OFjhPoa2BweOx03M0XZrK3uJX3P6lhyGxHr5NYNjOGe66Yzp9fOTRmdj7Q18CM9DAmxQTwysfHTntsRoN2zPE7HE5yTqr6cioZCYF46SQUd5rMSVW/BJdZ53jh+OCqaLRhdw2CALetzkYvia7BHK4BdmLkiapFptF0lGffP0L9SSV7QwO8+PWNszFpRfexS5KITZa5bHkKheUdHtFRfYNWokO8CQnwIu9oG7kZ4cSG+dBw0n1o7R7mL68V8ovrcgHXAEirEXE4ZZKi/PHSa6hvG3DPIof4e6H8D1cf0us17CxqHVcE2FvcypLpMfz4yumIokBdywB+PnpCA7zIL2snKzmYbQcbSI8PpH/Yxgd7ajlc2clPrprhMYDyNekI9DVwxNbNT6+ZSUvXEBargyBfA9edm4GAwKuby9kzKqbqNCLhQSbe2FJBcVUX5y9MpH9o4unpgSEbnb1mXvzQFaWXFO2HgsvXYyKCfA00dw4iCgJTU0O599qZDAzbPcSf4zR1DPH+7lpWL0pEOZ6OEmgkIthE6zjvlHPnJ3pUxBocto0RT0RRwMfo+a22WZ0sz43lgz217utXVNHJrMnhboPZ40iiwI+umM5H++o8Sm57e2m597pcjtR2E+ij56EXDuKl13DO/AR+cNk0Hnn5EFeflUF7r5mMhEC6Byz88vpZrP+khqLKsaW7h0ZsBPnqWTQ9moFhGzUt/VhtTqqb+jzM32PDfDDoJQyn+PBoRGFcQ/7jJEX7sa+klQOlbewpbqGhbRBRFLh6VToLsiPGrb4Gx9+1qvDzRXE6ZddgRYQQHx1/+eEiDhxpo7y+l8QoP2ZnhiNJIvtL+9l9uJndksj8KZEE+Oppah/kx1fN4NVNx3A4FZ56txiHrLAsNxZZUXDYZWZNDmdmhst7JiXGn4ERK+fNT+S90agwk0FLR6+ZR18tIGdSCDeen4lBp6Fn0MIHe+tQFCir7SYq2BuHQ8bPWzfhuyDQz8C6HTVcvHQSqXH++Jn0bM1vpKyum0tGq25uyWvg4jMm8dG+Oi5bkcpfXy/0SA3OTg7mnitn8IcX8t3pYHqthEYSEWDCtE9wTWoY9eMbLR862s6f7lqIUSvQM2znt08doGd0kuOuS6e6BZrxCAs0oQAWp4LV7sRLr8GgEZHHiSAeD2+9hovPSOaZ90+IZ8cj/iKDTYQHGr+Qx5CKioonqgCk8pVytL6XmFDvL7SN+Agfdha1UNXcT3pcwJd0ZCoqJ1AEgbqOITbuqRvzN61G5PuX5NA7YGHLwUZGLHaykkL4+bW5PLexjJrmfuZkhvPurmr3LKIo4DEQyStrY1paqEep4bgIXx5/p3jc4wn0NeDjpePxt4vd3jreXlouX5mKze50iz8AJdVd/PKJHv501wK0GonNefUMjdjJSg4mItjkjvAZj5gwHzp7XdvaV9LK99fkTFhG/YJFSbx2kmAT4KPnx1dOZ/fhFl7fUuH+3WpzsnFPHV19Fi5cnMybWz0Hr6uXJDM0YiPQV8/UlFCKJ9hfekIgAT565HGEDG+DxFnzEvhgT63H73qdxE3nZzFuCTBckQuXLkvhgWfzxvwtyM9AaIAXkSEmfrR2GgEmnVv8Add9DfQ1kBTlR3VzP+fMT+StrZUe4g+4OrG/fy6f39wwy+WlIgjUtA/x0kdHyUwM4tc3zmbTftcA2ajXcNbceIL9vfjRY58wKcafGWlhfH/NFI7V9eDvbaB7wMLW/AYGR2yEBhrx9tJy6Fg7t63OIsDXi/L6HgZH7CzPjcXulCmt6qK9Z4RA7/8NzzStVkIQBBwOp7vDP2x1nja6ZtP+elbMiuX3z50wV9VpRH5142xsdic6rYa/vXEYgDlZEZy7MJHuPovHoH96Wig1zX0smhrF0IiNxrZBnttQht0hI4kCi6dFc+myFPKOtJEQ6YfNIXPgSJu7Pda2DJCecCJd8FQmJwZR2dhLeJCR5blxRId68/BLh/jp1TP5+MD45c2Xz4rjYFkbafGBrjSLln7aT0mDOpkteQ0syIkk0NtlnFtc3cWPr5zOcxvK3Md5XGjRaDxLLqfHB1I3WpHrOCtmxaLXCGPaj0kvcd8tc/nr64W0dA2Tf7Sd3940m7yyNrr7T7xb5mRHUFDe4SH+gGuAev8zB/j5tbn4mnSE+HvR2Wfmza2VnDk7jsfuXszf3jhMaU03guAy0J2bHcnVZ6VztDaUlzeVe4imoYFGzDYnvYMWfI064iN8Meq1rF2Zxs6CJnaMGsCvWZ5CZIiJzkEb3gYtBo0rOkcnCVx7dsa474HwICM6jUTPgAWdVnJHH8qywnMby5gU409kgNe3wl/rm8jx94HL58pl3K0TYElOJMtmRNPabaaj18yT75Z4pDxWNPSSGhfAqjnxPPpqAfffMoff/ns/S3Nj0EoSj79d7E69nDIpmDXLUnjm/VJqWwY4c04c86ZEMndKJM+sP+KeaFQUKKzoHPM867QSFQ19FJZ30tQxxMpZ8byxtYJTkUSB1NgA3thcTllNF4mRvgyM2FAUhcRIPyRJ5KHb5zFkseOU4faLp/DLJ/aOSTMuruoiPMjI3OxId+rlVavS+PhAPZNi/MdNXT1OTkoI/36vZNy/6bQSAgpmu+Ih/oArjXXFrDi32f3JaCSBnJQQ/vFOMXll7SiK6z1zydJJLJwS+ZlSH202B3OzIrHYnKzbUe1u31lJwXzv4uxxo2hVVFT+c1QBSOUrY2DYRmv3CNNTJp6t/yyE+nthMmg4UtujCkAq/xX6RuwcrujEah+bFnDt2RlsPdjgIVRsP9TI/tJWHrhlLk6ngpeXRHykH7Ki4GvS0T9oZcTqICTAC61GZGjEjqyAv7eOS5alkBDhi04jYrePH+J83bkZPPzSIQ/vgyGznX+/W8rNF2SRFO3nEW2k14q094ywu6iZZbmxGHQaKhv7+NfbxVy+IpV/vFU0Zh+TE4No6x52z+pnJAQS5Kvn4jOSeXt7lTtaSRRgzXJXhNFtF03BYnXgkBU0kqtCy7sTpLQcONLGmXPiAVcHUhDgrLkJBPoasNqc6ESB3Iww3t1ZNWb2VKsRuWjJJKSTSjafjCArrF6YyLTUENbtqKZ/yEp2cjDnzE90VWQbp+MoCNDea2ZvSSt3XTqVVz8+RkevGUFwGWpff+5kfIxabjo/i75BK12DVvxMOnQnlYWWFJmfXD2DFzYeJSU2wEP4OpnmziEGRmzYnTK+Jj2CoLBmqUtM2FPUzPkLkzhvYRJGvau0bu+glQe/Nw+DTsPOwiaiQrzZWdhMY9sg4UEmLlueSlK0H1vyG1i9JJnQAC9sdpn7nt7vvk8b99SSEOnLj66YTmfPyDc+A0URBIasDnbub6B3wELu5HCSovzQCq7BtnWCtgEukdFySqTb8ef4sdcLPQaG7+6sZn9pK7++cTZpcQHUtw3S3jNMZmIwVocTk0HDR/vq2Zx3QpRxygpbDzYybLFzxZlpJET6YbE62D7q5QOuQdnqxcnu9JCT0eskluXGUtvSz+ysCHy8dfzppQIGhm3sK2nle5dM4Yl3ij2i41bMisPucJKTEsLOwmbiInwxGrVYJ4hSAZc3l04j8dT7R9xm8e/sqOasufGsXZmGRhLoG7TycV4DeUdOmMmLAq5IgzdcZrsGncQ58xM5c1asW/zRaESXd44o4HQ4iQo08OsbZzFidaLICj5GHQ/cOpfdRS18crgZnUbi/AVJ43p6gcu/p7lziHd3trF2ZSp7S1oJ9DXg76Pnw311lNZ046V3RdWV1Xbz8qZjmK0OpqWG8tNrZvLKpmOU1/cyNysCrUZEI4ms31UzJprvmrMzOHdBAqmxgfgadewpbsWglXh50zFuvTCbtBg/V7pcuA8/uXI6T79/hO5+C6IA09LCOHdBIo++WoAoQHyE75gIzXe2V/G9i7NhAt8hlc+HpBGxOJTRN73AvqJWKhr7mDIpmMkJgRh1IrLimjgxW518dKAOH6N+XL+r8vpeVs2J52dXz8ThVPjtzbM5VtfLX0fF4OMUVXbR1j3CFSvT+POrBewpbuHn185k2Gzn1ouykUSBhEhfak8RSMElNHsbtW4xqaS6i5Vz4pibHcHe4hN+QXqtxA8un0pzx6BbmH5nexUf7T8hbK//pIa52RHkTArhtc0VXHVW+rgecwA7C5r58VXTsVgdnDknHodTZkFOFC9/dJQbzsvkoRfyx7zzI4NNxIX7uCuTnYpL8BVp6TGPmSQqquxkWW4MMzPCPNK+9VqJ390+j8ERGwunRrMsN45hs513trtK2GskgUVTIj+TebMoy5yZG8OCnChGLA50WhGjXoOkyONO/KioqPznqAKQyldG5ajZ5heNABIEgbgwH47U9XAxSV/CkamonECjEfloXx0NbYNMSwv1KCHt7aXF30c/bpSK2ergza0VnDk3nl/9+4RHgdGg4bpzJhMT5kN7zwj/fKvIHc6t10pce04G/UNWPj7Qy5SUEArLPWcX/X30OBzKuMaXAOt2VHHJ0kn8s+lE9FBafCAFxzqobOwbMyC6/rzJfO/iKby1rZL2nhEMOonF02OYlhrKn152VTULCfBiWW4slY39zM2KJDMpmKb2IQQBIkO83bPq7T3DXLE8hc4BKw+9cIirz0o/7UDd6ZS5/eJsrDYn0aE+FFd2IcsKYf4GzHaZP75wkJ9ePZN3dlRx6Gg7suKKTLjh/MkEmLQ4xtm2IAjoRRsap4XsUJi8NgOn1oTidGK3OSecNdRqJXYVNrPtYCM1zf1csjQFH6MOURQ4WtfDroImIkO9efLdEncancmg4a7LppIc6QuyglMQqWvqZ9G0KExe44fVH6e5c5i/v3kYQRC49pwMEqP8yEwKwtuoo7y+l/BgEw6HzO+fy6N30MqqOXHMyYzAS6/hT68UkBYfwNnzE3A4FF788CjnLUxk2cxYbHYnkihyx5+2j+nw17YMsH5XDefMT/jMofhfB4ogcOBoO0++e8K7YntBExFBJn5z02yMOonc9DB3SsapzJsSgaIonDU3nv2lbYQGenHDORkcqe0dd2DY1j3CrsJmzBY7S3NjKars5OWPdiMr8Ivrc9l6sHGcvcD+0jbWLEvhvqcPcPfaaWM8OJ5+/wi/uWk2L286xuGKThTFJaxetCSZp9cfoaKhl5TYAJbOjOaWC7PYmt/I7qIm7p81l/tvmUt92yA2u5OYMB8Kyjv45HALt67OYtvBRlek19F2spKC2ZI3fsTQqjnxHKvv8agUOGy28+bWSt7cWslPr5mJyaBBK4nuUsuJUX6sWZpCeX0v1509GZ1WIibUGz+NFcHejyCKWEQvDpR3sae4lQAfA6vmxBHorUcngKDX8OhrBYQHebNwahSJkb5MSQ7G16THanec9n3Q028hMtibuAhfyut76R+2kpMSQniQEXE0Leu1zeUe4va+klYKjnXw8+tyKa3uIjbch3e2VxHs7zVuKufzG8v48w8W8sz6UkprXNFZi6dFc905kzHoNVS1DGLQSUSGmEiPC+AP359PTXM/IFBS3cVDz+djtjq4+qx0t3n3yXT2m3E6lTHVCVU+P7Io8uHeOjburWPE4iAp2o+LlkxCaVR4Yl0Jt1+cjZde466eeMXKVKJCfE4bHbirsJlLl6Xw5pYKpqaG8vqW8nGXa+8ZQVYUd/rWht21JMf489ALBwn2N3D7RVN45OVDHoKMKMCdl06loqGPC+ZFMy/FB6NexNdPR1JkOhcuSqaioZcgPwPhQSZ2FjQxNTWUVz8u5+x5CR7iz3H2FreSmRRMcrQ/7eNU1TuO1e7E20tLYrQfPQMW/vFWETPTw7hwcTIDwzZ+ef0sXvjgKHWtA2gkgTlZkaxdmYpBK7JyVhybTrlmceE+LJ0RgyIr9E4QIfyXVwtZsyyFK1amUdvSj49RR2y4D5sO1PPujmp3Olqgr4HbLsrmjS0VvL6lklkZ4Wg/Y9Ffh13GpBWJDg2gt3cYh0Pmm/vlUlH530UVgFS+Msob+vD31o/xFPhPiA71ZsvBRiw2Bwad+hirfHnIiquqTXlDL2vPTCM0wMudi54SG+BOpRiPvKPtLJoW7RGNMGJx8MS6Yh65ayEPP37IQ5Cw2p08sa6E39w0mw/21HLDeZkcqe72GFiGBRpp7Bjfhwegs8+Mz2f01Arx93JXRLlwcTJ+3jr8vfUIgsDmA/VkTwpmVkY4qfEBrsFZiJGKxl6eWFdCsJ8XCorH7OH2Q01ctMTV4UyK8vtUTy6nrPDW1koUoKvPzD1XTCfUX4+gwNaCJuKj/GjqGCQy2MSyq2cCLi+iooouFuZEIp2SSydJ4GXrpnfLM1jqXeKBPjqN4DNvwmIIcXntOGUU8PDv0WhEJElEHC0rXNc64BEV5WvS8b2Lp/Dg8ydSisBllPnQ8/n85YeLMeklnnn/CHtLWjlzTjyr5sShkYQJKxD5mnTu+/rEuhLuu3kOOwqaPTxNokO9uXvtdP708iFWzo7HbHXwcV49v7g+l6qmfgqPdaDXSVx9Vjoh/l786+1iQgK9iArxmTDCZ2dhE+cuSDjtffm6sdhlD/HnOK3dw7y5rZIrlqewam48OwqbxkSHRQSZSIry58l3S/A2arnlwix8TFokjeQ2Px+P/LJ2zpwTx86CJo9oH7tDPm2qQXe/hbsvn0awnxf+3nr6hk5U5WlsHyTvSBsz08NYOSsegJrmfv76+mH3coG+ejISgrHanPj56PnpNbm8vrWSlFh/QvyNFFd2crSum+lpYSRG+vHUu6VcuSodrSSy7WAjSdH+pMePTTXTayWWzYzlsdGS2eOxu8gVmWPy0vDArXOxO2Wqm/p5dsMRt8CcmxbEzQt86dn9Arb2WhBE9InTmDxjDYd0Gkasdg6Vd5IeF0BMmA+PvXyQ7OQQHE6Z+5854L52eq3In3+4mAAfVzraeCRG+WG1O7nnsV2cPS+RxdNi2H6oie5+M2nxgSRG+qHXjpVWrHYnH+6tZWpKCH9+pYC7Lp3KvycwvgX45HAzCidGoDsKmjh/YRI/+ccnnD03gdTYAJ58t5SeAQuTE4NYPiuOhpZ+2rqGWTI9mvlTItlZ2MzOwrGVztLiAtBKArIaAfSFkAWBR18r9KheVd3Uzx9fPMiPrpjGgilRrNtZ5eEDNn9K5LiGxicjCNDSOcTeklYWTI2aMPoFoL7NZcjcP2Qjv6yNxdOiAVf1rpc+OsaPr5xBZWMvlQ19BPt7kTs5nMMVHVww3Q/7/g2Y1+fhUGQGQ2LxXnIdFk0YmUnBPLmumJ4BKytnu74Ri6ZFsbto4qp52w82kjs5nIhg04TL+Pvoae0a4fXNFfz06ploJJFZmeEYdBo+2l+Hr1HHzRdkYvLSYbU70YgCr28+xhUr07nkjGQWT49m0/56zFYHi6ZFkRztjwYFWWbC/TplhXd3VrNoahRTk4IQRZGDFZ28vc2z6lnPgIU/vXyIH185g/ufOYDV7kQ7oWO6iorK14E6clb5yihv7CM6ZOIP2uchJsQbWYHq5gEmJwR++goqKp8RAZieGsrhik40ksD3Lslhf0kre0ta0OukcQckx9FKIs5xRuJTU0PZfKB+woHlm1srOWNGDK9tKefe62fx0b46iis7MXppmT8lEm+viQUek0EzptT10boezr1qxpgZRoNew/CIndqWAf51kt+QQScxLS0UH6OOpGh/mjuHeej5fFJiA5gyKRhFwV2h5GTsDhmnrOBj1LJsZizlDT1MTgwaU4IWRo2IFYXBETsJkb7cfdk0Qv0NOO0ykkaiprmfFbPiuP+ZAygKHK7o5NwFicRHuCoZDVscHDzazqKpURg0IlqtiMbSS8tLv0CxnojysDYdo+X5nxN+3cPsrXOw/pNazFYHsyeHs3JOPE6nk/ySVhRg6YwYDFqJd3ZUeQgoC6dGsWl/3bjXW1Zgw95aLlqc7K7m9NG+OlBkls+K48O9Y9ebkR42xsD4za2VJMf4eQhATR1DPL2+lCtXpTFktqEoAjedl8U/3i6i8yTvl64+M5cuT2HtyjRqW/vp6Z94UGO1uSKEREn8jyu0/DfRaEQOlk4s1OwYFRlRFB66fT7rdlaxr6QVSRQ5Y0YMU1JC+N2zeW6BpbC8k+9fnE2QvxGNZuJpZ61GJCbMh2fe96xso9OcfqAS7O8FgCjCJUsnjREetuQ3ct25GTz0Qv54q7NwajQ//+duQgKM3HnpVLYfbKBv0MrT64/g560jZ1IIBp2GN7ZU0NFrJizQSGiAkec3lmFzyDy1vpSHbp/H/iNtbMt3eZBNmRTCyjnx9A66yiaPhyi4TKXDAk2s21lF7uRwfvdsnsdzn50czF1nhtH14s9AGX2nKDLW6oNI7dXccfn97K628NG+enYWNDFrcjiXr0xn2Gzjwec9qwtmJ4dwuLydCxYl8eyGsVWRokO9iQv34Yd/2cW8KVH4eus8BNfKxj427avjx1fNoLu/dEwE5MGjHa7oEMWVYjdiOZF2ZzRoWDw9hoQIX8xWVxSS4ZQBaEVjL7+4Npey2h6PyoiVjX18uK+OB2+bx50XTwEUBi0Oth1sJC7ch9AAI90DFmqa+9FIIucuSPxGR9f9LyAI0DNoHfe7AfDmlkpuW5095h3a3DFIRLCJBVMieWPr+CXKl+XG8vKo8brDKeOl13j4R51MiL+X2+RYOuVbXtPcz2+f2k9mYhB3XprDk++W8rtnD3D/lWmMrPs9joET73F7ZwO9b95P0GX38UGJwlVnZVDfNsC2/EY+2l/HpctSPUydT2VoxO4ydFYYUwAAXJ47t12UjdMp871LpuCll7jp/Ex2F7Vw+CR/or0lrYQHGblzzVT+71970Gslzl2QRLi/FxH+em44Ox0FBUVWcDpPpFf7eGnJSAiirHbs/bhwcRJeGtdkik128urm8SOqLDYn9W0DJEX5oTtNn0lFReXrQS2hpPKVYLY6aOocIjrki6V/HSfQV4+XXkPFBNV7VFQ+L5Ik4gCsssKM9HDOmB6N2epAEuD8hUn86obZnDnbZQ45EfNzIsk/yVvjOEF+XjR3ThzO3do1THCAF8fqenno+Xz8TDquPy+Tn109k/2lbXgbtWMGMMc5a14inb0jrugYjpu8JmI0aFmYE+WxbHv3MAlRY0tDW2xO9pW0Ut3Ux+CI1b2t5o5BEk6qdHUqseE+KIpAkK+BQ0fbSYj0Y+2KVCJPmkGURIFluTHcd8scEqP8+Ovdi7jn8qlEBBiQBHAgYHY4mT05gj3FrSgKTEsN5ZJlKby+uYIHn8/nwefzeeDZA8RH+OKQ4VhjP1sPNtJXuNVD/DmOYrfSm7eRgrJWapr7ae0aZt3Oan78111091t5ZVM5z288yt1/2cXgiI1rzs7wWD8iyERr1/gpdwCNbYN0D5wQZOZlRzIrM5IFU6I4f2GiWyTUSCLLZsZy3TkZJEX78asbZnHh4mQ0kkhr99BoBTlP6loHSIz045VN5QT6Gthf2uoh/ly1Kp0LFyfz3q4a7nvmAJ8cbiErOYRlubHjHuukGH90WhHhM4bgf9UIgnDaEtwOp0xj+xBvba+mq8/MmqUp/OH7C/jd7XMxGjT89t/7PKJwzl+YRGSoD129I6yYFTfhdudNicRidY7x2Khs6mNyYtC468SF+9DWPUz/oJUf/HknIxYHV56Zhvdo+p8ouCpGTYoJYPXi5FPOEy5akjzaxuzUNPfzxpZy4iN8mJsdjiQK9A/Z2FnYzPZDTe6ow6kpIXh7adzPm9Xm5KEXDjI1JYTVS5K5/rxMfEw6/vzKIfy89WSOc+wLcqL45Q2zMeg01LT0s2ZpCsH+XviZ9O5l5udEcs2KBAZ3v35C/DkJ51AvQzXFfLCnzt2m3t1ZzR9eyMfXpEd3SvTfgqlRvLypHIvNyXXnuPy0jl+HmRlh/PSambT1DGO2OlgyPZpXPx47kLQ5ZF768Cj/d9UMfnF9LjdfmEXIqABn0EloNa7qd7XNA2SMTgRlTwrmJ1fOoKvPzHMby/hwXx1Gg4YzZsSgkU40AlEQ8PXW8+Y4Zr1Wm5N/vFWEzenEbndi0kv85YeLWDozFl9vHXOyIrjv5jk8fMd8vNXIhi+MJImUTiD+ADS0D2I5JZXQS69hUmwA/t4GZqSHe3xzjjM5IYiYUB+aRr+9nxxumfA96aXXEBLg5RYa50+J5OCo141GEtGP3ufSmm46es1MTQkhLNCIn6XZQ/xxo8gM73mVFVND2VPcwuNvF1Pe4EpJ3ZxXP+E7BiArOYiMhECGzHa+vyaHmRlh7vf3pGg/HrlzIUUVnTyxroRXN5VzuLKT9ITA0dRFT9q6R9hf2soPLp3KDy+fxp6iFl7fVklbnxWLXQYFbE7Xd9iJ4IqMVRR+eFkOC6dGuQtVeOk1XHFmGmdMi3ZH0irg8W0au+9hlsyIxvAlV+sVBNDqJLRaCUn6hn7YVFS+4agRQCpfCdUt/SgKRH1JEUCCIBAdYnL7CqmofBGcgsjHeQ1s3FPLkNnOjedN5pKlKTz+djGrz5jEL5/Y646AuWTpJFbMihvjOxAS4MWKWXHc+/hY09OOnhHiwn08ZudOJibMm7bRfH+z1cFH++vJK2t3l3O3O2TuXjudv75e6GEwO2tyOPERPhRVdvF/V89ElhUURaGstpvS6i6W5caSOzmcPcUtOBwyk2L9iQ71ISclxH0sfiYdN54ZT3KQgIlhtN5DNA9K3HVZDv94s5iBYRtpcQEcq3d5IfmadOh1Ej39FtYsTeHvbx7m7sunsnpJMk2dQ3gZNPzy+ll09Ztp7xkhPT6QD/fV8cNHd2JzyExPDeXqs9LxM2roHbTz4Iv5dPSa+dOdC9hW0IhWI3LegkTuf+aA21MAXGH4v38+n9/eNJtHXj7EZUti0HkbMa2+BwBbRx2Dh7fgHOpz3dOmI6QlzWLXSYXVBkfsbM1vYMHUKLaO+kh8fKCBe6/LZV52JO09I8zNCmfW5HBKqrponcCDITHKD+1o6sGsyeEsmh5NQXkHQyN2BEHh7rXT8Dbq8DPp2FvSwl1/3oHDqSAIkJsRzo+vnM7mA/V09I4vMsmKgkErIYmwr/SEkejSmbEMDNvcpcQBjtR088sn9vL9S6bQ1DHo4VklCHDVWemYLQ4k3TdzvsfhcDItNYQ3JjDQnpsdQbC/AZvdSV5ZGyEBRl79uJw71+TwysflHgWqVi9JxuGQOVDaRlyEDyaDloyEwDGRAxkJgXh7aekfsuJj1HrMxr+/q5ofXzWDYbOdutYTpq+RwSbuXjsdUHh2QxkWm5OXNx0jJyWEW1ZnoZVcg5EAHz1/f+Mwt12UTfakYNq7R0DAZeR9UrqZRhKYFKZjbpyEva+baTck0jQo8dTmZlq7hwn0NRAeaOTseQlY7TL/d9UMSqq7aGgbwmJzsCWvnrPnJbLpQANVTX1cdMYkNu6pZenMWPYfaXP7Vs3NjiAtLsDDIHxLXgMRwSZ+ePlUfv9cPhrJVeXMabfimzkfIWcJsnWEwaJtWJtOCDNC42ESIpZ6XJfBETsf7avzaFPgirAasTh49eNypqWG8MCt8+juNxPoa6Ckuss1WFVcqSydveYJoyPr2wbp7DPz4PP5RId6872Lp/DEuyVMSw2lpWuYID8DDqfMVasyeOTlQ5y3IJEHnj3gTsUcHjXLn54WyhVnpvP8xjK0GpGwIC+O1fVMVCCQ6uZ+RqxOhsx2LDYnguASIo6fo14ncf8tcxFQC71/URQFfE9jDaCRBI8qa4IAP7x8Gq9vrqCysY+FOZH85OoZ5Je1k1/WjkYSWDozFkkUaO4cQq+TsNqcHCxr40dXTKet29PI2Meo5Y41U93voIggEytmxfHOtgoevCYdf3EYxWHD7hXE1uJe7A4Zf289P7lqBrqDzzNRLI+tqZyBrj5SYvxZkhPG8uwAtKJCU6+DsMhgPt5f7yFew4kJnN8+tZ/ufgteeg3LcmP5+bW5+Hvr8TZq+ek/dnukwq7bUU3ekXZuuyibP7xw8NTDYG9JCwtyohgcsZEY5UdYoAmr3cknRS1MSQnhDy+4vsExYT5cdWYaSZG+SIrCdWelc/nyVHcE3all3UUE12TJBN/JuAhf5mZGIDu+vMhTWRDoHbSy6UADQ2Yb86dEkRLjj1ZArcSnovI5UAUgla+EysZ+vPQaAn30n77wZyQ80Ej+sQ5kRUH8pk5vq3zjcQoCj75W4B4kpsUHkBoXyEMvHGTKpGDW76r2SH96c2sla1em8uMrp7OvtJXhETu5k10zkE5ZwTlOtYriqk6uOzeDjXvqcIyTLnDJ0hQefsmz43bugkT3YLGioZfXNpdz+8VTUBQFRYFgfwNOyzBejBCRoaelv4fXdrfR1DGEr0nHFWemgdNBnI+NjOky2C2YIo3YRBvnzEsgOdqPlBANU+KN9H7wONbmco53KY0hscw6/x4Cr59F76CFH1w+lf0lrUSF+jA4YsNsdZAWF0hr1zCVjb10jvoq9AxYePilQ9gdMuctSGRZbiy/fnKfR+Wc/KPtFFd18eD35tE7YOWceYm8vOkYe4pbSI0NwNekY9fhZg/x5ziyrLAlr4FVc+JYkuGDdV8FvTtfBUV2ef+cdRv9+97F0ngU0ehH/8jYjueBI2385qbZmAxadhe10DNgYcPuGu5ak4MsK6N+HjIXL53EgbK2Md46kiiM+v2IpMT6c+WqNLbmN1Ld1EeAj4Gz5saj0Yg4ZYVHXy2g+qRZWUVx7V+nlVizPIUHnhlbdhpc0Qlrz0yjpWvYY//zsiPGLVUN8NKHx7jnyukuzwWbk+Rofy5fmcpHe+vw89Zz1cpULJaJ0w6+LhTFlZqUnRxEcZVnFIAkCqxdkcYv/rUXQYCbLsjij8fTdYTRlUcx6CTS4gLZsLuGGelh/PX1w+i1EjdfmMXZ8xLYfshVCnzW5HBEUeDxt4vJSAjk3AWJvLLphMgxbHHwp5cPce2ocXtj++Cod52W3z61n5svyPIQcg9XdHr8/4JFSe5nt7KmlbOnh4J1EFHsJXlhILOTTfx9Qw13X5BM8LG3aXvqxP0M8w3mwbX3gNYLqdeVMioywIjDSFHtAIIgEBvuS15ZK2fOjqe6uZ/+ISvTUkMJDzTy4Z46mjuG+dnVM1m3s5riqk5WzIrjoefziY/wxWaXae50VRFr7Rpm68FGFkyNQiuJ+AgWQroK6c5bj2weRPIOwG/m2ZhSZtGz7QUAZGMgQ/1jn6EDR9q47aIpHgLQ0IidYH8DXX0WCso7Kav9hFsuzKaz10xXn4UDR9pYvTjZ1d4+ZeDma9JxydJJ1DT38eJHR7nxvEzCg4wMW+xcvGSSqwy81c5vbpzN3944PK4P16FjHayYFYeXXuL6czPZdrCJ5Gj/0+63tXuE3z/nuj+iKHD23ASuOTuD5zeWYbU5efC5PH5/2zwURUGvFREVdRD6n+B0ykxODEIUBSRRICrEG6es0NQxiKK4IixPTtuaMimEo3U9btPvxdNjuOexXSRG+bN6SRKRwd788cWDNHUMMS87kuW5sWzYXYuswKOvFnDxGZNYNSeengELYYEm/H10bMtvZE5GCPddnoRGtoE4wt2L9XS9dz+241Gmgsi5uRdgCI6nr8+O0dyK5DNxJI9k8mVg2MGUWBOTWouwfbQDxWEjNTgabcCVPHDjNF7bXs/eklYURSEnJYRrz57Muzuq6B5N6zVbHewqbKKsppvkGH+89JoxPmjgqjTZ1WcmLtyH+jbPlLEAHwMjVlfVPT9vPW9uq2TYbCd3chgaSSA8yERHr5nG9kF+/3w+t16YxZyMMJxOGb0Ier0r+unUVEedJHDFmak88nLBmOMxeWmZnhaK8inijyCAIohY7E6csoJeK6GfwNdJEQQ+2FfHOztOVBrdX9pGVIg3v75xljqgVVH5HKjtReUrobKpj6hgE8KXKNREBBqx2Jy094wQEfTlRBapfLcQBOjqt3hECFywIIm+QSt1rQOsXZnG+nEqD72yqRxvLy33Xp+LRhR46cNjrD5jEiJwxyU5PLexzO0l4O+j5/pzJtM7YOHe63L5+5uH3Z07k5eWmy/Ioraln/4hG6IokBEfyJLp0didMuX1J6I5appdhpg5k0JYOSeOSN0ww3ufxVZfAkBiYAS/POsaXi30YtAqYNJCgtBE7zuPMuhwHcsgYMxcRGLuGqJN3pg6SujfUoC12TP9wt7ZQP/6PzGQcQP9dj1mi4PIEG/+/EqBR0d8ZnoYP7h8Gp19Zv75VhFhQUbuXjuNh188yO6iFoL8DGPKJoPLxPXtbVWYvLTUtw5wzxXTWb+rmhvOz2RvcQv5R9vHrHOcutYBbluZQdfL9+Ic7juxzaZjdLz9CGGX/JT2t/6AkrmKLe+PjbiSRIHeASt1bQNcfVY6nb1m9pa0jFbyUXA6XAO4AJOOn1w1g8ffLnbfy0BfAz+4LAeTTkIQBG5dnc1P/rbb45rsKW7h8uUpTE4K9hB/TmZPcQsXLEpyb/dk5mVH4JRlDDoNft465mRGsOlAPV56DX1D1gkjJfqGrGg1In/+wSJQFOwOmd89l0dnr5nZmeHf6CgFSVG485IcdhW1sGF3LYMjNjITg7h8RSo7C5voG7KyekkyH+ypda9zpKab6eknZvJzUkI4cKSNlbPjePxtV9iX1e7kb28cJj7Cl7suncrhik7e3Ory1hEF8DHpyM0Ix2xx8P7uWrc4G+zvRbC/F4++eojYcF9WL05i3Y4q9DoJBYVTvMg9z0UUMBo0+GpsLA/tROgZoXfX69i7XAJUVHQ6/7jlVgYLN2Gp8hTznANdDK77PSFn3cZA0RYcg93Ye1rRz7mU+MhZ7DzSi5+3joRIP6w2J6EBRi5cnMzBsjbMVgdBfgZKa7r50yuHWJYbx8VnuNIN7147naqmPowGDXHhvmzaX8/+0lb2Frfw6xvnIDkt+FVtZKB484ljGeqlZ/tL+M0+H1PaHIaP7cOZNJ/DuzwNX4+f86nP5ea8Bi5YlMxTox5JFpuT6uY+6loHyEoKZmDYxvZDTSyZEUt4kGnCa5oa649OK5Ec7Y9BJxHk50VIgBfN7YO09o4wdVIo7b0jDJntBPl5Ud7QO3Yjo1Q39/Hbm+aybmcV+0tbWTkrzjUAHWe/8RG+7qhMcInP7++u4ZYLs9zCYO+glabOIX73bB6ZSUHcemEWPnoJp2oI/bnRawT+8L359A9bqWzoQ6eVSIry43BlJzkpIeg0orsgw7zsSF7edAyA0AAvWruGcTgVKht7CfU3sv1gI00dLqFzb0kLd106lWW5sWw/2IjDqfDa5gpmZ4Zzxco0/vBiPv1DNu67ajIBLXvofGEjit1G+KU/p+OtP8DJvmmKzMiBdzCFx6LN38hQazXha35G/753GS8OTMo68//ZO+/4OKp77X9ntleteu/NRS6Se++9YjC9hxICgQAhISQBAqSQkAQIBBJa6GCajWmuuPduWbIsyZLV+66215n3j7XXFpLIzXshl9yr5x9/rN2ZOTM7Z+ac5zy/50GvVeL89M8EWs6TFoGOBgIf/w7tkp9y/eKhLJmcg0opcry6gy67h81nyer4aB3XLRxCICjR1OFk1KAE/vx2/ybvB8rbGJIdJqSmFqeRFKsnNip8farqbWQkmbC7/JTXdOJwBzhxupMYs5af3zCWnz27IxJS8Nrn5RQXxP/T5K5QSGJwZjQ3LB7KW+tPRlSHqfFGbl5ehCzJiEqx33eWKAr4QjIvf1LK/rIWJDl8zjctLWJEfu/pabc70IP8OYfGdief7qxhxdSc/1Lc/AAGMIABAmgA/waEJInTTXYmFCV9o/tNitUDUNNsHyCABvD/BYVCweELVu8VooBCKWI9K8sOSVK/6UpOT4Cy013kpUfhDYR44o0D/Oy6sazbe4ablxdFzGS9/hAfbz9NVYON398xmYduGo/HF0SWw94Cm/afIS8tmqfumY4kyRw82Up9m5PctCjuWDmClz4+0YNgmDUmnaEJYH/3V4Rc5wmGQFczgbW/54oVD9GpSiTb4KPtlSd6DmABd+lWLEm5qJ1daAeNo2vjK32en7/tDCULtLy+x0lxfnxE2XMh9pe3kpsWxaQRqfgCIepaHHz4ZRULJ2XTZvVwqKLvkjeAo5XtXL94COv3nmHr4QaWT8/jlbUnuGr+IPRqgaumJCGKsK/SwabDrZE46ZEF8TgrD/Qgf85BDgVwHN1EzPxb2d1lpLO7rdd3Jo1IYcfRJo5VdnCssoPFk7O5eEY+aqUQIX8ABFlmcHoUf7hjCk6PH0EQMOpUaBQQCsmEBHhh9fE+DUU/2XGa7FRLv+cuSTKhkMTCiVms31tHMCSF1S7zCxk9KIn3Np3ixOlOYqO03LFyJPvKWnB7g//UoLjb6eenz+xg2dQchuXGMXlEKh9tqaJkUCLid1wkKcoys4pTmTw8+exUSmDr4QYOn72HEqJ1bL4gnn3T/nruv24MZTVduDwB1CoFHm8AhSj2KJOEMGn48+d3smRyDj+/YSw+fwidVok/IOELhJhWksr0UWm4vUGUChGjTkVTh5OfXz8ObyBIWU0XUSYti3LjiDFrmTchq0+zbwjHvsdH61DY6lFbYmhZ9bsenjq+hnIEWwO+Yxv73F5y2wEZVWImutxiVDHJWLe9gyk+lwlFadS32fH6JZ5edSRy743Mj2fWmAxizVoe/PtuXN4gH22poig3lo+2VnPo5Pl+IIoCNy0rQqUU2X6kkSijmkSln5aPNvXZHvuBz0lY/iM0mUU41HruXZ7LJ4c6I5HqANNK0khPNBJv0UXUkh5fkCFZMVy7cDAfbK7E5Q0SDEpoVApqmroZkh3LF7truXRWAQqFwMpZBbz7lTJAo07JHZcW84fXD/QwwtWqFfzye+NorGjjoy3VpCcaWTYlF5cngNgHGXUOJp0alVJAliUEQUCtUrB8Wi4ffWVSqVKKXDlvEC993DtZ7PNdtcwcnc6rn4aNrf2BEKIoUFrdyQPP7eIPd0z+L0deD+A8JBnW7jjNtguS1gQBbl42jNR4AwpB4LFbJ7LxQD0GnQrPWe8ujVrJOftik16NKAp0X0CsyzI8/e5hZo/N5GfXjyEYlEiJM6JUivzqxT20drlZMj4FY+U6uo+sA0CbMRRPzbFe785zsO36AMuEi2j/+GkcpVuJnXM9nRtf7dHPVTkldMaOJEbo7kH+XIjQrjdwzbyXn/7tCPEWHbeuGBYhUaJNGu5YOZKn3z0cWTDSqpVfG0KhVStYNDmLqcXhlLH0RBMPv7C7RyppRqKJe68axe9e3Y/XH6LL7uXTnTVcs3Awr3xShizL+PwhnN4A0We9zb4WMri8fu65ogRJllEqRNptnggJ/+gtE/qdaPolePCFPT0M3tut4XLPR26ZQE7Sec9QlUrBtn6euRAmnBdNzB6Y1A5gAP9FDPSVAXzraGhz4Q9KpH5NpOX/D7TqcElZTbODiUXJ3+i+B/B/BXLEnBTCkyOVQiAzKWyUbHf5SYzR90qgOYfMZBN/eP0gP7h4OC5vEH8wRMUZaw/lzoVweAL86qW9uC6YoBYXxLF0Si77ylt55YJEorw0CxOGJfGXe6ez/WgjqzaeYuHEbFLjDchNB3uQP+dPR4KDH5A+/4c4ju/pdwDr2LuGxBX3EvL0Hy8PIPrdnKqzkhpn6EX+nMMnO2ooLkzgrstGUlFno7HNSWFmNA1tTvTa/l8xeq0yYmy982gTk4anUNNsRxe0MymwC/fWLcihIEtyx7D4piX87qMz1LU4mTEyEWnnR/3u19twEvPUqxhk8PL49YOpbvXy0e4W2m0e4qN1TByewqMv7e3R/nnjM/tcOZRCMioBoiP3iEzo7CX1BSXKa/v+nV3eIGZD/54WoiggE/b6+ck1owlJEia9GpVS5N6ntkZKWKwOH7/5xz5+dt0YDpxsw6BT9Ztik5FoingKrdl2mvyMaIZmx7K/rIUh2TEE/wNWRkMh6fygRBSIMqjRa5UkxxoYlBlDWrwR29lIcY8vyEsfl/LTa0az50QLrZ0uxhUl9WsK6vYGeXfjKTKSTDz1zmEWTc5mxqh09pe10NLp5kB5K/5AiGXTchmaHcu+0hZmj8vkwb/v7nG9TXoVv7p5AqfqrFQ39OyD58pKJhRaCJ46iqvhZJ+GysgycrDvtC4Af1sdnurDBDoaEDR6EpbdhfPUPtqjDZQUpvDAczsjhCjAkcp23tlQwWWzC3nwpvF4vEEsJg1HK9t7kD8QJh9fWH2cB783noY2B/5AiICns+92AnLQj8JgIeT3E+2pJyZGTdFcEw2BNH75aikWk4YlU3Kob3Fw+dxCDFoVoigQG6Xhiz21dNi8/OCSEYiiQFyUFrsrwK//sY+HbhrP1kMNrNp0ii8P6rj1omE8dNN4Pt5eTafNS15aFEum5vLmF+W9UpC8/hC/fmUfd11WzPq94RS141WdPPi9cYwfmhRJ5/sq0hJN/OJvu7hh0VBuXFKEUhSYMzaTkfnxrN5aTWe3l/wMC3PGZvLGF+V9Pvdbu9zEmLVA2JtGp1FGCCe7y8+hU+1MGpr4H9HfvitQKESOVHb0IH8gTN78ffVxBmVNxaJVogQWjcsgIENxYTx7SlsQgLy0cOnw+KJklEqRoTmxPchiSYb1e8+wfu8ZigvjyUwyM74oOfL7zhpmwf3hefWbwhhNsI/Fg3MI2tpRxaSgyx6O68QOdBlFpN74OJ7aUiSvE01qAZImClHQozl9oF+PoEBnI3IgTO602zx8+GUV318xnCijmmXTcnn107II+QOwpzQcZf/mFyf73N+EYcn88vndGHQqfnLNaO5/dkcP8gfCPlZf7K5l5piMiKJy2+FGFkzI4skfTaO1y40/GEKrVoIooBQFJDlscB8K9V4Q8wQkVm3sO4ENwOH2X/D+PA9RFKhrdvQ7tnrx41IeunEc557mggAef//lZP7Ady/hcgAD+C5jgAAawLeOqsZuFKJAUoz+G993QrSOM61fP4kdwAD6QzAoUVKYwMvCCWQ5bMBo1KuprLeRlWzm8121XDG3kCff6S27HjM4kZomO05PgN+/cZAfXDICrVrRp+kshFfnogwaHrxxHJsO1lOYHkVeegz7y1rotHt5Ze0J4i06UuINLJ2aQ02jndLqTmqa7cwek8GTd09n4/46fP4QgZoj/Z6Tr+kU3k47env/ZVQhRxcIIkhS+N9+Jn+CPgq9tpuWfgZpggCFGVEYRD9Z8Rpqm0Xy0i0kROvpdviYXpLWYyB+IWaNzcDlCft2vPpZGZIs87NLcuGL3+O0nW+7/+QOxNrD3H/RQ+xvkDjd7GKorv9kMoXORLDjDPLHT6EN+ChJzmXcpddQ6TKiUGv5y6ojvfyFKs5YGVMQ9y+Vbnyd14ckh9VjualRfZaBTRyezJaDDXyx+wxf7A6bif/pR1N55r2jvfxLBEHgRE0Xk0eknDU/LeZ3rx3ooXLQaZRct2gIf199PPK3bYcbKSmM56fXjvnOq3/6hCQxenAi0WYtapWCP799iEtnF/RIC6prcfDwC7sZOzSJG5cMjRg356RG9ZmIYzi7om0yqJkxKp2DJ9uoOGNFr1Vx28XDaWx38ta6CnKvtTBnfCa/fXU/ClEgI9GE1eHF4Q7gcAf409uHuP/a0Ryr7iQYlDDqlGQkmdFplOwpbcZhdxGtN+Nr7l0uBWGlmqg1InmdfX6uik4K91FA9rnpXPciMTOvQWENUXGmi8e+PxGbw8vRqk7e33SKySNSGZQZw91Pbo2QVT+8dCTVjTaunplOIATbTnTRfLYcU5bDvmQ3LS3izS9O8tNFCV//W4givrpSnCe2Iwd8aJJzyZpyKX/94SjO2ARCIQmrw8dzH553XFcqBC6bU8i88VmcON2JUa+iy+4jEAr/rq9+WsZPrhnN6q3VHK1s59f/2Me0kjTuuGQE/oBER7cXAbDafX02ye0N4vQEMBvUkVLKp1cd4dFbJnCq3kqHzdvj+5fPKWDnsSZcniDPvH+Uh24aj8vtZ3BmNEmxBtITTQzOjiEQkCit7qC0uu9UqoyzSXAACydms/1IU4/PD59qZ9I3rHb+3w5/SOKjrX2rZCBsWn7lnAK8viACoBBkLp9TyMGTbUwcHl78+8ElI9h6qCGsrBWFPr1wlAqRpVNyabe6cbjD90xslBad7MV7wTswaGtBn1uC6+SePtujjk8PLzSMXgiA5HPT+NJ9qGJTEZRq/J2NmIZOQVm2FmVSdr/nJSjV+EPnH85lNV28sPo4V80bREyUttczrLLexkXT8yjMiO5V6ji+KBmnJ4DV4SMkyVQ32HolHJ7DvhMt3H/d2AgBJMkyapXIL/62K9KXzvXfodkxvLepEpNezaJJWcSatYgXvPv8gf4THAHsbj8xBlVvL71/lvzW4iAoSZyjjgIBiUnDU1i350yf3x8zJOxnxED55QAG8F/CAAE0gG8dVY3dJMboUfZj7PbfQWK0nr3lrQNG0AP4/4ZGJXLL8mH87aPjzB6bweuflVPTbOfeq0bx1hcnOVrZzk+uGc1HW6qorLdhMWmYOy6TtAQjT11ADO0tbcbpjuGW5cN4+MU9EaUChAdTP7hkBKs2VrB8Wi5TRqQgCAL3P7uD3LQoonQK/nzTELSOBvSCg4C6my5lgIozViYPi8fa2ooyYGbO2AxCIRkhqv8Jm8IQTYPVS0ZCIbC5z++ok3PwtVTjb6vDMGQirhM7en1Hmz0ce0hDc4eLGaPSe32ekWjkvuVZqGt3I21cjUpnZEXxYva3anh3/UnuWZGHWqXgluVF/H11z1KKwVkxZCSaePy1A+i1ynCailLE3HoMv603cSV5XeirvkRQT+aFj0/xp6tmQNm2Ps/NOHIWtm1vIwfC19/XXI3vg0fIv/hBfrrqVI8V1XMQBAG/DC5f32knfUGrUpCVbO6RiHQhQpLMtQsH8/aGikgylyCETYinjEjlD28cjHw3P91CICj1GvAXF8Qzf0IW72yo4NVPyxAEuGRWAX+6aypbDzfQ2O4iK8nMkOwYXv+KYqHbEfYLamx3UJBuIfAfuEIqShIF6RbWbD/NmRYHZTVd3LhkKG+vr4gQHWajhskjU/lkx2lGFiRQlBtHRrKZ37yyr4fHkkopcvslI1i7vZq7ryjh0Zf39ogw3nmsiXnjM7lsTgFqlYjLG+TOxVnEK+zItmYESzIdkplnPj2DIAiIokh+mpm31p3C7vZTUpjA3HGZzBoWjbXbAwoVCmN0JJXuQjiPbyVq7GKs297p9ZkyOhk55Efynf8tg93tiDoTwW41e481odepUYgCLR0u7r1qFCqlyK9f2ReZZMWYtYzNVDHE04xQsxdBoWb67FnUy4X84YNKAkEJnVqBVvYwqcCIU9aiMMcRsnf0ao86MQt/2xkcR86XrPmaq2l973GSrnqIz3bZuXHJUBJj9D18fIIhmTe/OInN7iUpzsDB8lYmDE9BrRS5dsFgAiGJDXvPMLU4lRuXDEVGQqVQ8N6mSjYfqMcflIiN0nLR9DyG5cXx/ubeKgO7y49eq4z8zjaHj26njwe/N57jVR0cq+rAbFAzdmgSR061s/GsqT7AO+sruPWiYVhdfmKNGvLSLfz57UPIMjz4vXHotco+J9BLp+bw+a5ablpaREiSennEJcboGBiJ/GuQZOh29k30FWREM7U4jfe/rOb46Q5izFoWTsymtdPFA9ePxaBT8vmu2ojJe2FGNKcbbdy+cgTbDjey+UA9Xl+Q4fnxLJ2Sg93l58ipdpZPzeJPNw3F6Gkmyqii5YJj+pqqiJ5yKYJah+zvHXMeNWEZcsCPqDNiHrWA9rV/AcKKHoXRQvSUS2n94A8gS5iGTwNR0aca11A0nU9O9HzmH6/uJCPJTHqiqc/r8fS7h7l5+TBWzMhj66EGFAqRcUOT6LJ7efmsglivVWLrwyj6wut9YVjFuKFJbNhb1+N5ea7/3nf1KBZMzGb11ip++uxOVs7MZ/64DARZRqkU0WtV/Oy6MYiiQG2znc921mC9YOwTb9H1WUYvyzKJX7MobNSpwmP6sxvLskxyjJ4h2THYHD4sJg0tnW667F40agVXzh2EIEnfaa+7AQzgu4QBAmgA3zoqG2zkJJu/lX3HW3R4/SE6ur0kWHTfyjEG8L8bbm+IU3VWnr53Oh5f2DtDluGJNw6wfFoeWclmBEHgrsuK8QZCnGnu5ssDDb1iqxNi9GQkmTlyqp3bVgynw+bhdFM3cVE6BmfFsGZ7NUadmqqGboIhiZ1Hm/D4gozIsTDa0oF9zZ/xh4KRJK4ROcW8eu/36Nz2HqHj5SgMZvTjlqNIKkAaMg3nvrX0ZTxpGr+cVVtauHVuJnqjpc8JqHnaVTh2vIuvqYqEpXciCAqcZTvCg1RBRJ8/GvPM66nqEujsDg+wzhlwAhi0Su5fnkFo7SN4L1AxeGuOUVw8j3FjR2Bf82v8CgWTRs5h+s8msOZAJ13dXoblxeHxBXnyrJml2xvkzS9Ocs+lRSjO9J1wBeCtPEDUiHF4fEF210nMmHI59u09J9CGwRMRlWoC7V9RHckS/l1vcuOcG9hSZqOp3RkxCRUESE8wcvsfvsQfkFArReaNz2TZ1FzEs4NkURQIyuHyGbVSJAT4/CFuWzGcnz+/q1ey2/zxmew/0crmg/Vct3AINy4Zis8vIcthA+GHX9zbY5vCzGhkWe5hSKvTKFk6NZfHXt4bUSzJMry38RS7jjby8M0TcHkCNHW4eHt9Ra9ypEFZ0WjVSnJSonC4/MQY1QQC/xllKQqlSFCWUSmVdHZ7OXi2jOnTnTWUFCbwo8uLMWiV+IMSDneAA2Wt5KVZcHoCrN97Bo1K5He3T6airouy013ER+vIT4/mgy8rSYwxsHl/XQ/y5xzW7TnDo7dOZF9ZM5ePs2Bd90cCjvOr1DGmWP5y08+x1VejOrEWQ0ohy8bE8tfPzjAiVUWwbDOB8k1oEFEtvh3TiFl0trzY6zie00eInn0jHq8f36FPIuVg2vQhWCZdTPvap3ttIwsK4mJM7C8rZfqodFZtqWbM4EQq6qzEmDSR+0YU4KHL87G//wjB7gs8uOrLSMsawT0XrcSgVZAeqMG7dR2D/V5U6tlErfgxLe88iuQ9b3ysMFqIX/QDWlb9tvePJEtYN7/Ozy++i+5QEFGEi6bn8cGXPVVP6/fV8ex9M5BleO79o7i8QUQBxgxJYsWMPDbtqyMxWofFrOXZ945SVntePdnZ7eXFNaV8b+lQBmfFUF7bU1mZlmDsReiqVQp+/NQ2lk7NpSgnltLTnWzYe4aSQYncsXIE5bVWth9uoKHNQXOHC41aQaxZQ1FmNM/cO4Ndpc1UN9j41c0TeHrVEerPKoxNehU3LSti0FnF0HMfHOtTZTZ7TMZ/JNn6PwmVQmBIdgx7Slt6/D3GrOWy2QU89MLuiDdONd3sL2vloul5tHa5GTM0KUL+AKzadIrf/GAy722qoCg3jlsvGo5aKXKq3sqLa45z5bzBeLxe0qQmOj5+HE/Qj27WtagTs/G3njeZ79ryNgnLf0TX5tcjBu6izkT0lJV4ao7jOLQOfcFYoqdd0YOsNY2cg23P6oiqtvvA58QtuJWOz//WgwRSJ2ZjHruYuQ4lNo/EmWZ7hMD/dGcNCyZkoVSIvd4tXn+Iv314jKfumc6NS4bQ0OFi8756dhxtjJCvnd1e0hKM9AeLURO5nnqtkhXT83jw77v7/O57myqZPTaDySNSyUuz8N7mSqaMTMGgUVLZ5OD5j45FnqUFGdHcdVkxL609QX2rgzGDE9CpFH26rAeDEiPz41GIQp+Jn8um5qBTi/h956+ZSoQ7Lx1J6elO6ludzBqTQWKMnlizFq1SQO7PmX8AAxhALwwQQAP4VmFz+uiy+5gy7NsxaU6IDpM+9a2OAQJoAP8ylEqRg8ea+fJgA5lJZkYPTiQjyUxOiplASOLDLVURv557ryxBq1bidAdYNDmbaSVpfHmwnrKaLkQB5ozNQKNW4PGF+O2r+0mJM5ASb6SuxRExN/3VLRP41Yt7uP/aMbR0ulAqRCbl6rC//0ivFULP6cOoj3+JITWHrrKtBLvb8H30BLrhs2lOn03ynNvwbOo5qNQXTUOROZJheS089ckZHr7s50g7/4H3THhlUGGKxTzzeg60qBkam46voYK2j5/GNHwGiRf/GDkUQlAoQaHiaEOQbrefS2cX8OHmSh66aTwvrinlSGU7C8YkIR56n0AfJSzOw+tIzCsmZO9ADgWwbXwF5bGtzJhzJ04hkcdfP9Br8l1Zb0MQRQR1/yuCgkaL7yyBkZOoQ3RC0mU/x9tYgRwMoMsahhT00/bBE31u72+qpGQ25LbuJzS4AJd5CH/6+AzTilPZuL8O/9l9+4MSa3fU4PYGuWJuIaIAzV0eXvu8jNQEE0sm59DZHW6/RqXgz3dPpbLOxic7atBqFCycmE1nt4c9pS38+KpR1DR1s35PHXnpUWQkmXE4fcwanUZ9m5PkOAPJsQaG5cWhVSsYWRAfMT2eXpLG57trew2OR+THs3xaLi+sPk7p6U7MBjWLJmVzx6UjaWx3oFYqOHyqLVI+5fEFWb29hu8vKyIQ6HuV/TsFhYJ2u5fKehtVDTbGD01maHYs+ekWuuxejlS2c6iijcQYPdctGoxAmAj4ZOdpTHoVV8wdREK0HkmSGZ4bh0Gj5JMdtbyz4RQ6jZIFE7J6KPe+ioMnW5lSaKZ77Z8JOXqWKIQcnXSu+TPm4tl07v4AgPjoZJ686X5s61/AX39e6Wbb9g7R0y7HOHwGzmNfnt+JIGKcdSO1NgFlwTziiqYhBDyoNWo8FXtoW/3n3qVhohJZZ+HNNSdBEFAqRE7VWblkZj5/fvsQ915VEvnq2MHxqE9vw9/d24A9UHuUotGLCXWcIdRZjyxJBG2t2La8iTt9MMnXPIa37gRBayuqlHxUidm4Tmwj5Ozb68rXVIXk7kZZV8bgwvEkRqdRMigBWYaqeitajZJxQ5Lo6A77by2ZksPRynbGFyWTGGOgw+Zh0aRsJFmmrcvdg/y5EB98WcV1C4f0IIBGD0pAq1bws+vG4AuEIubSOq2S+68bQ0uXG5vdy+yxGZTVdPLeplP4/CFKBiXwixvHsX5vLU0dLt7dWMGffjQNjUrEoBaZNzodUQyTvQ/eOBa3L0goJGPUKdEoREIhiRiThry0nmWGoihwxyUjMGmV/UfEDaBPCHK4pGt/WWuP592iSdkcrWxn8ogUGtqcPbz1Vm+t4pkfz4gosAQB5o3PYuyQRNyeACum56MQBe55cmvk55hanMqeE838eFk2Ha/ehxwKv9u793xM/JIf0vH58xHS1N9ag23nBySs+DGS207IbYdQEPvh9Xjrwgbg7lP7MI9egKg1RIhTdUIGth3vRdrpqT4MCCStvB9fay2S340mOQ9BoUJytBNfV84tCV0oRo+kRcji9x9UMzQnFn8wxPJpuXzwZSXD8+KZXpKGSa/GbFBh0Kn4aFs1e443oxAFJo1I4ZffG8+T7xyi2+kPp4a1OxmWG8vxPkoZV87K5+DJVuaPz2LhpCw27j/Tp68cQHOnC6NOxZPvHOaHl44kPdHEkap2BmXE8Ngre3twO6fqrDzx5kHuubKEPSdaWDkjH+Er5eUqlYgsCwgCEJL4+Q1j+d2r+yMJZACjBycyd3wWUuj82EZUCLTafDz0FVPrOIuWR26Z2Nda2AAGMICvwQABNIBvFef8L1K+YQPoczDqVBi0SurbnIwq/Cc+BgMYQC8IkYHHuj21TByWzLIpOew90YJGreD2S0bQ1O5k66EGTHo1Xn+QTQfq6Xb6WDw5J5L25QuEwvXnskxuahQmvYqmDlePCHSLSYPd6WP5tFzio3XcuLSI+Ggd+s59dPdn1nxwHclXPYygVEdUAp5jG4krmMEbR3SsuOg3aB316BUh/JZMtlc4eeN3Oxk7NJk7Vo7ErlCQvOhuovwuZCmIpNRxrDHAX9Yc5ulb5iCU70D2e3Ec2Rgp8VAYo/HNvZ+1u2q4bcUIdh1r4geXjOC5D45x49KhLOrOpiBWwvrKoX6vqre+HHVSTiRePth2GqGtimZlHj+5ejR1LXY+2FJFU/v56xMIiUSNnIW7om/fBdOIWQxKzeBXqUlk+quwbX8HBBF1YiaCqMTXWIk2Y3D/fkZqLXJ3G97SL4Ev0erNPHHdw3TIUdz/7M5e3//yYD2TRqSwYV8dCyZksXRqDoGAzHMfHOWKeYPYeqiBHUcaCYYkSgYlcNflxTR3ODhS2cGEomSG5saeVXmFOFTRxsb9dRi0Sh67bRKXzMxn25Em4qK0NHe6+OXfdnHHypFcPX8w1Q3d2F1+spLN7Dre018kxqxl8eRsfv3K3ohXkNsb5KWPT1Bc2MaI/Hje+Lyci2fkkRRr4Dev7OWmZcMYmhXNf0JdiiQItFndPPHGQbrsXgozojGMUWExaaiqt5EaH057+nRnDfvLWxFFkR1H69lX1kJhZjSXzS5ApRJpaHOgVinosnuJj9Zx5+UjcfuCcDZ5L/g1E3SfP0SSIYS1va7PzwMd9SgtiZH/B63NuLa9gS4xncAFBJCn+hBBaytxy+7EPHYxvqZKBKUGZVIetqCGTTvrWb+3LuLltGJKJktihD59gYxjl/D+njYq6qxMHpESSS6UZRmPL4hGFR7K6bVKrpmRRmjty/2fX+lmtJlDCXhdmEbOQmmOo3P9i/jry+neswZRa8DXVImr8iD6i36BKPafOiSotAS7O7BueQvr9lVoF/+E1zY6qKjvZtLwZK5dOITPdtfy2a5aXJ4Ag7KiuWbBYHYda+KVT8qIMWtZMSOXksJEaprayUuzhA3LQxL7y1ojiWI2hw/jWSNZjUrBwknZzBqTzl/fP9rDb23U4ATy06N5/LX9jCtK5oq5hTz+2oEeZZrbDjdyoLyV39w2iSfePEgwJLNmazXFhQnh2GyDmuDZNEAFYFKfP//QWTWGSoDrFw9l6ZQcTtZa0WoU5KZa0Cj6ybIfwNdClsGsU/LbH0zibx8dp7qxm2nFqZQUxrNuzxnsTj/FBfFcNruAf3xaRl2LA1mGE6c7GZkfx9FT7aycXUB5bRePvbIv0qcWT87m3qtG8fS7R1AqBJZPy+VoZQdyc3mE/AEIuWy0f/pXYqZfAaISyetCaUlAaY4FUaRl1W/7LAUDcJ7YjmHIZByHwglicjCAoNEjX6AK8lQfwlN9CFVcOuZR8wi0NyBqtHRu+AcR5uLoZsyWRJ67/Zfsrwvy46e3c9tFw3jizqnsOt7EB19WcvPyYQRDMj/7605Cksz4omSMOhV1rXYOnWzjthUj+N1r+wH4cEsVv7ltEmu2nWbroQZ8gRBxFi2XzMwnNkqHPyhRWWelw+rBqAsHFhh1Kox6FVa7L2Iyn55wPlzgoy1VzB+fRWKMjte/KO+ztMvpCdDS5eaauYUE/OdJJUEUcPklvtxbS12Lg8LMaCYNTyE32cTT906nttmOw+UnL91ClF5NjFmL1Xp+fOAPyfz6H/t6mVp32Lw8s+oI915R/J/wihvAAL4zGCCABvCtoqqxmyiDGpO+/0Sc/y7iLTrq2vo20xzAAL4OwWCIUYMSeHdDBbeuGM5jr+zrkTiz7XAj88Zn8sANYzla2c7zHx7nmgWDSY03sOlAPYdOtlGUG8uQ7NjwitqELF75uJS7ryjh+Q+PRUqmRAFmjkojM9nMntIW7v7zViCs8rg2vv+odMnrRPK50GUNw1N3AtPwGeiyhoFWYn5JPM+ta6TLHuDqBYOJC2lZs6eakAS7jzcTb9ExZUQyZ7rghTVVnG7sRq0UefjmCQRDEn9eW8+9yx9CPvAe/tOHEXRGLFOvQJ1RxNoDHZxutPPX949y5bxB2F1+Sk938sLqUi6emU+7zYPya0yQ+xoZKqt3YBiay0trSzEbNPz4ymLiVD46O7sRlCpMmiAqVRzGoVNxntiGoFRjLJqKPrcYQalGYY6juqmTfadsJMtbzh5Hwt9yVrYviFgmXkSY6eh9fGPRVJwnd52/tm473V88R8eIm5gyMoX1e3tO+CUZ/AGJ3ceb0akVpCQYeePzk/zsujE8+96RyG8LcKC8jdLqTp64cypvfFHBggnZ7DvRQsUZK1q1kqsXDMLtDfLy2hM88cZBlk7JYevhBhZOzOadDadYOiWHE6c7eXfDKX50eTE1TXY0GgUWo4buC7wc5k/I5P1Nlb2MogEOV7Rz0bQ8fnnjeM602Cmr6eTmi4azbnctl88t7PM3+S5BEASc3gDvbjhFl91LRqKJ6xYP4Vcv7omUK0A4hvveq0bhDwbRqhXsKwuXjVw2uwB/MBzJ/dmuWo5VdTBmcCKLJoWvcX2rg2G5cUwrSeU3t03E7gpwutHGF7vPYLvAf2TskERU9JGwdwEunDwCuKsOknjxj7Ef+DzyN2VUAqaRs5CcVmRTPMcCmazZ3kxSbBNp8aaI+fc5fLj9DBkXFVG8IA7nzlUoo+LQ549BSMimotvAB5+VMmpQAlOL01i7vZrfXjeY5CgvT948FHO0kmsXDqK4IBGPswvt1zZextdQgbvyAO7KAygticQvvQt/Sw2qmGQURgtKYzT2g+vwdbUSnT8Wtr1Ln31q+PTzRrmhIP51T3Hd7J/zwGvdDM+P58l3DvdQ7ZystfLL53fxk2vGsK+slXarhxfXnOCy2QEmDk8BwgosjUrBpbMLwolla44jyZASb+Sx708kMSas7vrzW4c4+RUj3IPlbShEkfkTstlT2kxVQ3efHl1ub5CPt5/moul5/GXVESrqrAzKimHzwQYWTcxCr1GAHE4dCkkyGpUYUf+cg0mvJugLMKYwDvlseeh3vY99pyHJJJg1PHDdaDyBEKcb7dzz1LbIJd1f3opBp+LHV43i6XcPY3WESYqT5VZuWl5Edb2th8cThBMerXYvv//hZARB4B+flHHHsjyCJ3r7zIUcnbSvfQZRoyfxsgdoXfVbDIMnYhw2vcf3NMm5mErmImoMCKKCkM+FJjkvbJDuc+Mq34Vp2LQez4JzCHTUo7IkgEU4W1bZ834J2lpxbH+HoVOu545LhuNwB3hr3UkOnmzjtouHs7e0GVmGWWPSKciIZtvhxrMeb9Esm5qL1e4lK9mM3eXnR5cX88WuGsYNTWTRpCzarB5sDh/r956hst4WOWZeuoWSwgTSE034AxJddi8pcQa67F5e/7ycJVNyePOLcgAa2pzEWrQkxxl7lRxfiGOVHUwZdt4IXRAFalqdPci5/eWtvLe5ksdunUiCWc2gtKhICbQshElf4QJfz85uH3aXn9R4IzqNkqYOZ8Sjq6y2C08ghF75zfuMDmAA/1sxQAAN4FtFVWM3ybHffPrXhYiL0lLbMpAENoD/P1gMaq6cV8iJ6s5eccMQ9gWZMSqd1VuruWRmPq2dLl7/vDzyeXltFxZjHXdfWcLjr+7nynmD+Pvq46ycVYDFpMEfCKHTKDFolew61szOY2FVx/C88GRUTRD2f9Jn29QJmYRc3YjGaBJX3Iv94DpaP3gCZAmzMZq7x1/Bly2xbDvcwJCcWGaPzWDzgXquXzQEBDha3YlBq+LyOYW8s6GC043d7C9vZdaYdDbtr+e+1zz8YOnljJj9PZR+B927V+Pc/wlTYlKZcuUi1h73oFErIj4E5bVdvPF5OY/dWIwrtxhvdd8qIG3G4F4DYFlUsr+8jZO1Vn64NBf96a10H1yD6HWCQolq3i3Yao+hjksj4ZKfojRE0b3/U1o/+hNIIUS9mcyJKxELC6CiD1WCLOE4voXYOTfQueEVLhxcq5Oy0eeNovW9x3tsEmiuJGmyTHqiiZEF8fgDISrOWCNlCKqzA8oJw1P4/esHyEo209zp6kH+nIPXH+Lj7dXcd/UoHnt5b0S9AHCoIpxWc/X8Qbz2WTkxUVrmjM3gkx2nEQSYMjKVnzyzHVmGR17ay69vm8iJ6k4WTsziuQ/PJ3tlJpl5a11Fn9cc4Hh1B8cqOyIJMUqFwI1Li/AHJOTv+PqoSiXid0gMy41lyeRs0hJNvcgfCJtrP/veEf5411S2HgrHRuenW2judJEab2Tj/jqOVXWQn25hyshUHnl5L5IkM2ZIItkpZn736gEa28MLBoOzYrjr8mJePutZUVIYT0KsHq/f3386niAiKL+yoCFLyBeYqmozhpw1eX4Xf1uY6MlOyuHB5bfQrU7gJ8/0VpwBPPlRJQ/fNJ6hVz6E99RenKVbQdhGzrBZvP6TcXx+1EZTYyt3FLsIbP4d3a5uBEEkVDieeZOv5PvP7mZYtoVr8icSOvxpn8fQ54+ia8tbkf8Hba24ynYi6kx0vf8aAJr0QcQv/xEehZG3d7ZwyaIf0PnpX+nRpxKz0ecW0/r+7yN/k7wuokUX0WYNybGGXp49ECZW399cyfzxWbz+eTmiAIOyYvjdq/tp7jy/4n/4VDujBydy/eKhlJ3u5NQZK3npFvaUNlOQEd2L/DmH/WUt/OKGcdgcXnYfa+rzO+e+N60kjWsWDOZ4dQd1rQ4+21nDpn11PHrrBD7ffd5YODFGz83LishOMqIQwn5gHTYPHn8Inz+ETq1EqxKQBhKI/luQpLBHmiiIPP3ukV58mssT4O31FSycmM1b60+SlmDi5bUnKC6M5+MdNX3uc+ex5vCihdXNqTorGlFCSMjqtw2izoTkdYdLumQJb0M5hoKxOEu3YiqZhyYhE+u2d8+m9Ano8ktQJ2SS+r0/4G85jbvyMMZh0/A1VeJrutAPSyB23k3428Oll/0pVd0Vu9GPWoFGrSI/I4YN++pQKUUsRg3eGD02hw+VQsHjrx2IbHOy1sqGfXU8cP1Y7rpsJHWtDqKMarJSo0iNN3HHE5sjiwZmg5rl03JJjjVgdfoozIgmGJJ5/sNjPRYbctOi+M1tk9h2uCHyvjPpVWhVCtQqkdgoHW5v3+Pu1HhDD27LL8k88ebBHsmVEFZb/untQzxy03gUyEiCQF2bkw+/rMLm9FGUG8uSyTkY1CIg8+D3xlHf6sDhDrBiRh7dTh+vflqG1x/CH5AGCKABDOBfwAABNIBvDcGQxJkWB1NHpHyrx4m36DhQ0Y7PH0Kj7l+uPoAB9AVRlplanMZPnumdhHUOG/fV8eOrRuFwB/jVi71LlGxOH+t21zIkJxarM7xy9ez7R8P7FwUkSeYXN4xl7fZw1K1aKbJiRh6PvbyXv9w2AqUlkWAf6VeWySsRdUaMhePpXP8Sga7myGchp5XQxr8yc/5deIVo6lscTBqezLC8OP76/tEeiVB6rZK7ryjhjc/LWb21iu8tLeKeK+PRqBW0tjvwNFbi/PQpIqO2riao2s/SOT/A5vdjNmjQqhV4/SFqm+1sONLG1HGXIzSc7CF1BzAOnYKvuTqiklDFpRM1bjHK2DSWOgMsHlOMun4f7p1vn98oFEQVnYhCPxFZklDoTQS62/A1V0c8jiS3HfvGl0iafiPiyCVQub9HaRyAq2wnupxikq/7Nd6aY4Q8dnQ5xYQcnbStfrLXoFtQaYgxa5ksdzHGWY6s1iHNKWFjqYNjda4IIRgKyQSCEvnpFo5V9k5KiuxPEFi3p64H+XMOu441s2hSNpfMzEOSZOKidLRb3Rh1Kjq7PZHJjiCEy5Ry0yzERmmZXpLGlkPhiags069pJoSjdS80DQ2GZF5YfZw/3jX1O5+SKAgCGrUS6Wy6TFe3NxJb/lW4vEFautxoNOHnfbxFh0IQUClEdh0L95Elk3N4aW0pkiRj0Ia9fy5cgYYwofnHNw/y29snoRJAjwdZchJSadEOn4336PpexzYOm0agqxnDkMkEOurxt51BYYqJGMEKChWWiRfT8t5vIXS+BMLfcprOdx4i7trfh8vR+kGGOUjbu78laD3f1/2tL6FK3MS46XdhtDXiXPf38xvIEu6Tu/B3NnLHopt5/P1KLp80HUXVnl4eRoYhk1HFphI3/xZkKYQgKnAe34qzdBvxi28HhZLYGVejMMXgOrENUWtk7tBiOpSJpN38J9yn9iH53KgTspCDPtrWPNXLu0wO+Jg9JoNjVR0UF8Zj0qk40+LoEcld1WDj4pl5AJQMSuTQybYe5M85HChvZcaoNC6dVcDeshaeXnUYpULkh5eO7Pf6yTIYdCoWTcruNzIaQKNW0NTuJNqsYeGkLP76XjjC3hcI8cz7R5kzNiNCALV2uXnslX08dc807C4/oiCwels1B8pbkeXw83zRpGwWTczqEZE9gP8fCNS32nuZH5/DqTorK2fls2RyDvvLWhEEgRizNuLV1xeCwRAHyluZPTaDneVdTEnWo4pLJ9BR3+u7sfNuRhkVR+LK+0GWUVoSkNKHErC1ok3Jo/2TZy9oqoA2OY+QvRNX3XYQBIzDpuBvr8c0YhZRYxbjbaxA1OjRpg3CU1+OwhCF7LX1f/pSCJvdwx/eqMBsUHPPFSW8ue4knXYvwZDMqMGJ/PJvu3pt5vEFeWvdSa5dNJj46HA4SmaSmW6Xj4dvnsDb604SH61n4vAUPt1Zw5cH60mI1jOhKJmH/r67B/kDUN3QzbsbTxFtPq8nXDwlh+xkM4Iss3JWHk++fbhXxaMohJXNFxqhd9l9/UbSN3e4cPmCGLVKPtlVy+qt1ZHPGtqclNd08cvvjUOhFHni5b24LzCFLsiI5t6rRvGXdw9j0A5MZwcwgH8FAz1mAN8azrQ6CIZkUr8l/59ziIsKmz83drjISfl20sYG8L8f/q9JbvEGghyrasfn7z9Fae+JFn589Sj2HG8OK0XOTl7PTTiVynC0NMCkEalsPlBPMCTz6DuVPPm9B+je8jrB7g40aQUIKi26jCEEHV24KvZgHDKZmNnX07bmqV6ES3DPOyxa+nN+8eoJFkwIr6qfI3+iTRqWT0hmcIoOBCd3rBjCz/++nxfXlHLPlSWU13RyyRgL1rde5MIlO4UxGn1uCdjOkJY9jEZXiKVTcyPJZ6XVnchSDGOXPYyiajs0HEPUmTCMXoTgddDx6XMAaNIGYRm3hI71L0cmowkrfkz7vtU9zsEyZSXeplPYtr8XIXSUlkRi596Ides7PdJZfPveJ+HqxzBd9RAhhxWFzoivtRbbro9QmmPRpORiP/A5osaANnMYyqgEWt/9dZ+/WcLyu7Gtex5fw8nzf9z3AfMnXs6ccdO4/+/hqHaFIkye+AIhDDpVv/fAiPx4nn3vSL+fbz7QwOCsaLKSzdicPn50RQkGbdjUUxTCv8AdK0ey9VAD6/acQZZlLplVwCO3TKCuxYFeq2TisBS2H23sc/+FGdGs2tBTISTLsOVQA1fNLei3Xd8FuHwhvjxQj06r5OEXwkbpXwdJkpk4PBmzXk20WYssy2EC6Wx/02qUkUnNjNHpfLarttcKNIQVRbqQE6n8S7qPb0TyedDmjCBq+nWojVE49n+C7PcgqHWYR83HVDQV++ENKKPiMA6dgsJgJuhxAAqUUQlo0gpwntjWg/w5Bzngw1e6iWdvn0FFvZ33d7VG0ugAhmbHQM2+HuTPOQRaa0nW+Wj7rHd0PECw/QxD4kL87Moi3t/XxSXz78fSfgR3+U4EpYbo2dchigraVv+ZoDVcNico1USNW4IlKQtEkfhFP8B5bAue2mMX7PkDzOMvojlrCknZI5EDHto/+1ufbUQQCRnimDzEjEV04hFPonR3Epg0DGfUEJ5YXUtrlxuVUowQnqMGJfDept4R7+ewu7SZi6bl8fH202dLIn0Yz/bBoTmxzBydjkGrwu7ysWFfHVUNNnQaJXtKmxk9JJFNB3pP8gGmjExjd2kzgYDEiul5PcoA61ocJET3VC5PGJbM/rJW1CoFO4819TAk9gclPtpajSAILJ2UhdQPeTGAfw5B+Pp3MUCsWcvU4lRautyMGZKIxahhVGE8Byv6LqdWqZREGdXkp0fz1LuHmXLHUGJnX4fjyEZcFftAllCYYolfdBuyJNHy5sOEXDYARK2B2LnfI27xHbS9/7se+42ZdS2+piqs296N/K17zxoMQyahTR9Mx/qXUMdnIAe82HZ9hCouDeOQSWiS8/o9N3VCJlVd4WeH3eXnbx8dZ8WMXMwGDVuqGjDolP1WGpbXdmHQquiweXj63YORe9qkV/H9FcPJSjbzt4+Oc6wqvIjhD0jUtdp73PsXYm9pMz+7fiyf7axh8ogUZo9OR5IkfEGZGJOWh2+egNXhY/3eWs40O/AHQtx9RQlGnRJBkiPP22Dw6/uDJMl4/KEe5I/FpOGW5cOwOX38Y20ZBr2Ku68cxbHKDtbuCBt/n6qzcrC8lbsuL0ajFAf63QAG8C9ggAAawLeG6kY7SoXwradzxUVpEYCGducAATSAfxmiKCAgMHpwItsO9z2xLi5I4NDJVuIs/ZczyrKMgIDJoKa+9fykbtSgBKaPSiPOoiPGrKXL7iU90ciGs34FTR0u/rahme/PuxZ/fRmu8l0IKi1Scg5ywIerbBeuEzvQpBSQcu1jNL36ALL/fPRx0NaKQQgxenAigZBEU4eLzCQTqTFarpsUhbTnTfwHKkChRD94Mn+6aTG/fLOCpBg9qoATpbP1vPGsqCB21nWIGgNBVxeaxBxEv41Mg5GOJCM3LhnKx9urOV7dycUz8rnnhV2UFBQwNGMkfklkfmwiSnsTsbOvw1V1iOgpl9Dy9mM9VDog9zDUVMWlozRE0/HFBaqGs+fVtuYpEpbdResFMdSS245sa6F11W8if9OmDyb1xseRg36Cnc3IAR/dRzdDKIhlyqUYSxbgqy9F9nsjKS/azCJ8rTU9yZ+z8O56B01KEd6zSg1Jkrh24WD8gRA5qVFsP9L3fRJr1n6tB6wkyeSkRvHz53fSYQv/hsLZBLkfXV7CzmNN1LU4+GxXbWSbVRtP8aFCZHheHBmJRq6YV8jJM129VEZXzivsEQV8IVo73YS+w+UpoihQWWdjeH4cj7y0FwgrSM0GNXaXv9f3lYpwEla71cM7GyoiJQoPXD8GjSpsyi5fMEtKTzD1+5vdc1Eu/nVPEWg5P/nwVh3EV3Oc6GseJ37IVJSSDxCQ3N00v/tb4ubdiL+tlu79n6DQGDCNmkfQ1kbsgu8DMl0bXzl/bnozCoOFkLMLyePEV1+GThAoqDzAL+dezhenzXy0K1yqNHOYBW/Zh/1eJ9njOFt60s/nTeXkOq0MHl6AOjYNj5CPPuhDlzUcZJmWtx/pEfMuB/3Ydn5A7IJbkQMBgo7Or5A/YTj2fIQuZTinfFEUJpuxTFpBoLMRbUo+AAFrK/ZD6xAzS6jsCDJCX4bts2cA8AGc3IPOaOHBlT/jJ6+dYuyQJPaeaCE7xUxqvBHpa1QzUijswXPT0iI8/iCpcUZMBhV/+fF0Dp1s5/XPyrE5fcRZtCydksuyqbls2l9Hm9XNqEEJzB2X0cvfKzvFzJDsGD7aUkVijJ6mjt4egiplTzXxwolZrN5SzaVzCnh57Yk+2/rJjtPMHZeB+rsttvtO49wzsj8kxujx+oM89MIeAmeJBYNWye0rR6JSKXpEySfG6FkwOhGzwsfCCZnYnAHc3iA2V4hoZNRJuRiHTkHUmwl7x0m0vPmrHqo2yeui/eOnSbn214SctsjfFaZYRI0eV1lv5bCrbCeGwvGIOiPeuvP3inHIJLS5JQiyRNLlv8S2ZzXe2vMlvggiUbNvJCWURHJcC80dLpo7XVhMWrq6vZHz/Tq0dLpRq8QepI7DHeCJNw/yixvGMb0kFYtJw7bDjRh0SrodvZ+vkXOXwyVjT98zHYNGgSzLfLyjhrXbT0feM9EmDfddPRpJkoiJ0lFa3cGzHxxn/vhMMpNMqESBuGhdv8pVs0GNUa+KpF9CWAH7o8uL+duHx3soA9ftOcPKWfksmJDF57trgfDixkXTcwfInwEM4F/EfzwBdObMGV566SWOHj1KZWUlOTk5fPJJ334a59DW1sY//vEPdu7cSV1dHSaTiTFjxnDPPfeQmpr6b2r5/35UN3aTFKNHofh263JVShGLSUND+4AR9AD+dQgKkR0HG5g9JoMD5a29pMp5aRZEQeDgyTbuvqKENduq+9xPcWECJ2o6mVCUzOe7diMIcNuK4XTYPDz/4XHSE40sm5bDK2vLcLj9xJi1NHe4EAVYPCqGtlU9yz7cp/ZhGDSBmOlX0vXlG/iaTuGq2Ef8kh/S9sEfzrdfrUWhUrF0chZmwc1jC3XgthKTmUCoq4muczL3UBB36RaU9WXct+IelEqRTIOnh1IhduY1eOpOYBw6hWBjW0SRI+rNDJt8KWfiBvHorRPx+sIlOD+7fhxPv3uYPWXtPHdnCZ7tb+Iq34kqLh3TyFl4Th/7CvkDgqjkQqNm08hZdO/r+5kt+9z42+pQJ2RGvFQQlfAVE15vfTmd615Ek5yHbe/HGIdMIvmKB7HtXoNCZ0KXPRx1dDyCUoUyKgFX5QEMI+fS8d5v+jjq2XZW7WTyiBJmjE6jpsnOrmPNKJUCQ7NjWTolJxI/fA7D8+JQKAQmDk9m0/6+VQfTSlL5w+sHI+QPhBU66/fWEWfRsXRKDo+9sq/XdsGQxKGKNhZPzsbp9nPX5cXUNHVTVtOF2aBmWkkaVfW2fo87Ij/+Ox2Tq1CI2J1+TtaeV1V8tquGK+cN4vkPexMSy6floVQK/O7VAxGCKN6iI86iY/6ETNZsO01IkjHoVLg8Aexn+9tXyxyiTRpSld09yJ9zkEN+3NteI2bGNYS62xB1Rlo/+AOJK35M+6fP9iBiXBV7MI+aj2BtRpU5EnViNkghoqdejhz0E+huQxWdDIDnzAkkr5NAZyOBz/7I/Pl3cawuikBAYnhePMFTX8MeCEKvsscLIerNuA9vwHFoHeqkHKKnXkZ3/UlEfRSEAj3InwvRvXs1Cct+hG3XB/0eWjz1JbkjZuFrqEWTlIOzdDvdu1cDYdVC7ILvU+UykqWWsH3w117bh5w2NAfe5qqZK0hNjcftDZCVbI7Ewn9xdkL3VUwrSeM3/9jfI1FxztgMJo1I4ZVPzk+uO2xeXl57gqvnD6LL7mVPaQsWk4bJI1KYODyFrYca8QWCFBckoFYpePLtsH9ZYWY0RTmx3H/tGLYdaWD38WaSYg2YDWGV0fSSNKaVpNHS4WLUkEQUosDFM/L4cEtVLyWGPyjh9gVRD5Sj/LegUylYPDmbT77i6yMIcMvyYfzto+M9yBCXN8gTbx7kN7dN4nBFG8GQzD0X5ZGn7YIT7+H/zIM6bywxeROZMjIVly9EaNPzmEbORmGOA1kiYG3B11DRq6TxHKw7P8A4cib2PR8DYCgch/PE9n7PwX7wc6KnXEr7mqcAUJhi0GWPoPn1XyAHfIg6E5ZJKzCPmk/bh39Elz8W1dgVrDpkZ2fpIR64fix/eOMATR0uRFEgOU7PFXMLI4sSfSE3LYqGtnBC2txxmazfe74EMvyeOUNWspklk7OpbuimtctN4td4dBq0YeWUViEiAfvKW1mzred7z+rw8chLe7jv6tHc/eet3Ly8CJVS5LNdtVw8M48tZxNUL5mZz7tnFcQX4pblw9ApxR4lypNHhPtrX2Wh722q5MHvjWP93jOEJBmvPxRWGokDrOsABvCv4D/+LVVZWcnWrVsZMWIEkiT1WPXrDydOnGDDhg1cfPHFjBgxAqvVynPPPcfKlSv55JNPiImJ+Te0/H8/qhu7yf2alZxvEvFRWhrb+x7cDmAAXwePP8QXe86g0zRy/7Vj2H64kX3lLWjVSqYVp5GbFsWT7xzG6w/R0OZkysgUth/paS6q0yhZMiWHpnYnDo+f+64ejccXpLbZHiGMTtZaGTM4icvnFLD9SBOXzMwnPVbNRROSUVd9id3aDAjosodhKByPoFThbTyFMjoJUWtA8rpwHt9KwrI7I/8XVFriF92OQiGhdjXQuuo3EXVQ6w5QJ2aRsPxuWj/4Q2TSGOxuI1lqxq1OQmg4hpSWjag3Iwgios6EJjEbx5GNeE4fiZyf5LbTtf5FMmZdx1HPcP74zlFS4gysmJHHL24ch0YlEie10XRyNxBOO/G31CD5LyhXE0T0+aMQNTr0+aNwV4ZNLJXmWAJd/Zu1BrqaUJrjIgSQYdA43FUHe/+ONccxj1mEoWsMxqGT8daXoU7MQGGMJtDRgHX7qvC1USiJXnoPnR6x3wkxgOizc/WCQTzw3E5aOs+fxy//vptblhfxx7vC8bz+QIiSwkQsRjVlNV2smJ7H/rLWXsqV4flx6DTKPge1AB9vO83E4Sl4vmaAL0kyu443s3prNRmJJrJTzHTZvbz1xUluWDKEotxYyk539lABmQ1qRuTH4fua/f5PQ5JkkuIMnLognaaspou0BCM/vXY0n+6o4UyLncQYAwsmZuFw+WnucPe4xjctK+I3r+zjinmDWDgxiy9213DtwsE898Exth5qYNGkbP720fEex81Ns6BoOIQcFU/U2CUoLfHIoRAg4zi6GRDwN5/Cun0VlokrMAwaj+PYl32qcOyH1pN8zaMEHZ1ETb4U2W2j7cM/RkpJAJRR8SRe+jOCTiuyJOE8toXgrrd45Opf0epVI2jV6IbPwr+xZ4y7LmckppGzUFgSMA6bjuNwb28iQaVFm5wbKbX0t5zG31KDedR8XOW7EDX9K3GDtlYElRrJ139/kNx23KXb0BeOpfnNh5E85z19/G1naH33MXKvexx/exO2fgxufTVHmTn7Rpr9al79tIzTjd0oRIEHbxrP3tJmrI6epShDs2Nxuv09yB+ADfvqSIk3kp9uobLeRmaSiRmj07EYNbR2uZk5Op09pc20Wz3EmHW4vAEkSUKpEHlv06mIYkwhCswZm0mr1cOu403kp4UTkfRaFS5PkIWTsok2anjkpT09yJ4Zo9K4edkw/r665/0knvXvEgThvzQWHUDfkGSZ3FQLt140jHV7ztBl95KbGsUlM/M5UtnWw08qso0ks/1II7/+/iRMCh/CvrfwVu7HMHgC2syisKHzwQ+5be7FfLi7jdlpg1HHJGPd9i6e6kOYRy/E31bXR2vCCHQ0YB41L0IACSpNxPerz3PwulDFpKAwWjAOmYJ+0HjaPvwjciB8j0seB10bXyVm9vUk3/I07uZafBU7WZSazLwR+byx8SR3rBzJwy/uJiXWwM+f30UgGOKuy4pZNjWnFxGjUopcPqeQF1YfJy/NwrwJmQgCER+s/HQLiyZl09LlZsfR8PhDq1FgtXsZkh1DWU3vZ9olswow6lTsO9GKIMB7G/su1fT6Q9S1OkiM1fPX94/y8C0TsLv8PPi33RHVz+VzC/nhpSP5fFctbVY3GUkmrpo3iIQoLYFAiCE55+ddo4ck8tQ7h/u9tqWnO8nPsHCy1kpGogmlGDaJHsAABvBfx388ATRz5kxmz54NwP33309paek/3WbUqFF8/vnnKJXnT7+kpITp06ezevVqbrzxxm+tvf9XYHX46HL4mPIt+/+cQ2yUjtKazn/+xQEM4CsQBAGfP0Rrl5tHX97L726fTF66hUBQYndpM6s2nV+1+nBLFb+5bRIj8hPYsPcMDref4sJ4Zo/JQKEQSYo1YHf50ahE1EoFz75/pMexXv+8nDFDErl6wSBGpKkp6jyGvtOG9fgWBLWOhKV34m04iXXHe0h+L/rsEeEB5IjZ2PeuQQ54kbxOVLGp+NvrSbr0Z9h2fYS5eDZta5/pURoG4G+txXF0E8Zh03Ac3hD5e7B6H23qAjKiExAUShIv+QmS14Wo1qGKTenhaXAhbDveY/iVo/jhypFIsswnO2po6XRx38pBJCaLJFx0D3LQj6tiH0GnFU1iJgAKg4X4xbfjrjpA2yfPEr/w+4Q8DjRJuSijElBGJ0V8Sb4KdVwazhNhmb0mJR9j0VTaPngist+oCctRxSQjB/woTbGYiufQ8u5vQTqvElIn55Kw7EfhxKJQEOuaPxJz/Z9xZw3HW3Wgz+Oq8sax+VBDD/LnHP6+upS7LismxqhhakkaH28/TUFGNMGQxIZ9dfzq5vHsONrE3hNnicSSVBJj9Owv6230fQ7Osyam58y2+0JCjJ71Z5ULda0OfIEQ31taRGuXi0921DAsJ5ZLZxXw6c4a9p5oYUh2DLcsH4b4HZ+QhkISafEGhubE8OXB8yqm9Xvr2FfWyqzR6SyekkNavJE3vjhJm9XN6MGJke+lJRjpsHno6PbyzHtHmFqcxqJJOZgNah6/YzIfflmFRqVgztiMSOklhL0p1HGpWAaPpXPTawQ6wqa/glqHZeJF6LKH0/z6gyiM0cgBP/qckbSt/Uuv9os6I/FLfoj71D6cx7cSPf1KbDs/6EH+AAS72+n45Fn0hRMQFEriFt1Gx6fP0dVpo7RFwahBCRhyR6M6tonAWcIzatxSFHoz7Z8+R+zs69AXjMHfXtejdFFQ60hYcgdSKETsgltR6EyE3N14zpxAlzUMf0cDpqKp/V5/ZVQ8ks+NNqOoz5IWAEPBWFSxqSAIxMy4Ctuuj3oa10shnLvfRz98dr/HARmfL0BVg43TjeEY6ZAk89f3j3LXZcUcPtUeiYGfNz6TzGQzD/5td597+mJ3Lcum5TKtJC3y/w6bh5zUKMYMSeSRWyay63gTH22pYmhuLJfOLuCFNaUR8ic90cSV8wr5aEsVl8zKRyGKiKJARpKZmqawj1BxQTy/7kOR9+XBBgozY0iNN0YS5QDGDk3mVJ2VcYMSepjgDuBfQyAk8dS7h8lJieK2i4dzptlOY7uTpg4Xm/Y39LtdY7uTbpePJL0Ve1sNiZfej7N0G12bXgVRgWHQBJQBJzPHZqARr8B/aiues0mWIUcXqpgkvPVlfe5bFZOMqDWiyxmJ5/QR/C3V6DKG4G/uWxGsyy1BoTORdMVDSB4HkteJedQ8bHtWI3nC94yoN6OOT6ftrQd7kMqCSsPtl/4Sq0bF95cPZ822arrs4Xf7Y6/s49qFg7nzspFs2l+P1e5l4vBkLhobR8Bp41fLE9CYY9hxqpMR+fEcqmhDr1Fy6ewCfvvq/h4LDNEmDfdcOYrLZhew9XAj2w43EAyFlZOXzsonI8nES2vLGJwZTUFGdKQNfaG100WMWUtdi4PDFW1YHb4eJV/vrK8gMUbP7LEZTB6RgloUEAmXzitVCgwquPvykTz57hG0KsXXlrt5/SFUinCJ5o1LhqJWQGiguw1gAP8S/uMJIFH818uLzObePjFJSUnExMTQ1tb2TTTr/zxON9kBSPmWI+DPId6ixeE+L/UfwAD+q1ApBEYWxLPlUAOBYHgCL8tynwkyy6fl8vrn5TS2O5k0PIUYs4aQFE6ICoYkHn0pHP+t1yr55Y3jItGrF2J/WSs6JRR2VOE+9Dn6hd9HDoWIm3sj1h2r8Lecl727KvbgPn2YpMt/iePwOnQ5I5FDEqaRs9EkZtGx7mWCtmZCXmcPX50L4arYR+KKe3sQQJLWwuFTbRSNLaTtwycIdp997gki5lHziJ1/E44jX2KZsBSFMRrJ78XXeArHkQ0oBYmiZBG73cWNM5Opt0kUGJ10fPYG/pYaRK0R86h5GIdORgoG6T60nrj5N9Ox7sXIhNG6431iZ9+Adcf7dHz2PFGjF9K54eVebRdUWrSZRaji0hFVGkSdkabXfo4cCqAwRhO/5A66Nr12vjwMAX3hWBKW3Unbmicjcn5/czXu6sPo80fjPrUPpBChhlJUYy/BW3Okl2GvKiaFYHQm6z8p7++2YcfRRmKjtLi8AYpyYvnjW4ciipSPt1Xzs+vHkBCtp9PuZcPeOpyeAFfNH9Tv/qJNGkQhLN3/ankZQJxFi0IUIiWKJr2KH1wygiffPtRDOSGKAvddPYqlU3MprW5HkmRUShGVQvhOT0pVAgzKjCEj0RRJX9OoFeg1SjYfqGdoTiyPvLSHOy8rDq9yp0ah0yjx+IKkJ5o4dTYWXJZh66EGtp5NTjNolUwflU5aghGVSsGkESl0WD0EQxKJsXoMsem0vv7znt44fg/WLW+hikkJkyNBP9qsIoLWVpB6T0zi5t1M1+bXIwSSQm/qM9UPwNdcjWXKpVi3vIGgVGMoHIfarGfDx5W8vPYEKfEGHrryHvTtFQTrjqJOzKL946fRpA1CFZtOwNpE7JwbEAQBEEChCJd3BQMEbK107/qQYHc7yqh4zGMXI2h0YTVCfDqCWtuLJAaImnAR/o5GLBOW467cH1EpnIPCHIfCaKH5zYeAsEF73LybzpJm5wk7X/1JjJMu6/83jktDqTOy+UDPftXa5eZXL+2huCCBpVNyiI3Scbqxm8931eLr555tt3nISjZHDNPPISXeyMHyNt5cd54g23SgnrQEI/deOYpFkzxIkkyHzcPrn5XT1OFixug0dh5tYuuhBqKMah69dSLRZjX/WNt//9+w7wxTi1N5e33YdH1oTgxzx4WTw8YOSuh3uwH8c4iCgE6tICFGj0ohUl5rZU9pM3PHZZCZZOqXiEhPNKFSinjLdxA79yba1jyF5LZHPnccWofn9BGiVjxAW3cA9aF1kc9cVQdIWvlTHMe29BnRHjVhOVIoQPSUy4ievBJf2xl0GUNwHN/a4xgAotaIPmcEDS/cjWXSxUgeB91716JJySNh2Y/C7fI4iBq9AOu2Vb0UhXLAR+eHv0O/8tcMyY3lpbU9F7Zf+6ycOIuWKSPTGFUQQ6bKivWtnxNyhp+BfoWSyRNW4Iudxk+uHo3d5ecvq470UpdaHeEY9ZuXDyU9wch9V49Gp1GiVSt4Z8MpXvkkTIYdPdXOzcuKSIrV97kgcu7aHz1rLt3c4SYxprfisLXLzZtfnKQgPZqMOB0IAu6AzKbdp6lrdZCfYeHpe6cjCAJFubGUVve9qFuUE0vlGSsPfm8c6fGG77S/3QAG8F3FfzwB9E2hpqaGzs5OcnNz/9v7Uiq/Xc+bbwrnvHm+DY+emhY7Jr0Ki0nzje+7LyRGh182rV1u4s+md3zb3kP/Tnybv9X/JL6t8/pX+mCX08/M0ensK2vB7Q3yxe5abr1oGNcsGMxnu2ro7PaSHGdg+dRcOu1eDpS3Mjw/jkFZ0ThcfoIhCVEU8PpD/ODi4ZSe7qS6oftrBckLi6NxfvEZAN66MoxF05BluQf5cw5ywEf3vo8xjZyDPnckyAK23R8RO/t6fI0nUcUkE3J1938wuXdprFAwhZUmEy1v/uy8AfTZ7zqObCLpmkeJS87D+uWbEVNYTdogEi++D1/7afyb/oHabUerNZIxdhGiOwZ/Sy0AkteJbecHeBtPYRoxi7Tv/QF3xYHzE2JRSfTkS2h+62Fkv4+o8UvRZgzGMnkltl0fgRQepCpMMcTNu5nOdS9imXwJMjKuij1oUwrw1B4jeupldHzx4lfSiGTcFXsRNXqMQ6fgPL4l8omzdCtxC24NE0AKJXLQz86aEGMuehh5/yr8Z44hKNXoh88gMGgeLoXpa37B8+iy+1AoRPLSLByqCBNpkgwfbqnm2gWD+fJQPQWZ0YwZnEiMWcv9141h4746DpT3JAiWTc1FFAXy0ixMK05l25HGSNlJWoKRuy4rRhQEEqJ1tFk9zBufxfubKnuVzUiSzJ/eOsRPrhnN2+tPcayqgx9cPAKzQftvVwH9q+9Cs17JAzeM5ZMdNWQkGjEZ1LRbPaTGGxFFgfREE0adiusXD6XD5uauy4pxevwcKG/t913j8gbZd6KFoTkxtHS6aOmU6Xb4mTAsmQ+3VJExwt5vKaB127uYRsxC1Bnw1BwL+0nljIyoBiCsDAi57RHyB1GJ7O87Vecc5GBY7eU4sonES36CW2XklmVFtHS5+WxXDbc+dZAV0/NYMXkYvsOfkHT5L/C1VIMUwFtzjI7PnodQEFVMCpZJF+M5U4q/tQbLpEtQx2cQ7G4n2N1O14ZXsExeSfzSO+ja/MZZ/6LnzsfDi0rMo+ahTshAUKiQkUlc+VO6967FU30EQaHEMHQSxiGTaf/0vK9P0NZK28dPEb/wNlov8CNTGKLwBkV0gyfhKd/Z86QFEcWka3GhJT3RyOmmbnwXKN1kGQ5VtNHt9HHV/EEcq2pn9OBEthyiT+SmRqHXKHv4nIiiwKThKfzqxT29vt/Q5uSTnTX4A6FehuBGnToSO97t9PPX949y64ph5KRG9ZsiZnP4GH22T0ebNcSatfzsrzv58VWjwqVg36Fx4DfSFkEgEJJxeQIov2KQ/U1DJYr86pYJbNxfz/MfHSchRsc9V5Zgs3sZPSiRw6d6p32plCKjBiWwdkcNPxyejrtyXy9iBsL3bqihFFX0IEKuCz4PBbEf2kD8oh/QufEfkfeioNISPfUyPDXHUBqj8bm7cdccI2bmtSAqSLzkp9j3rcV1aj/IMvrCsVgmLMff2UTcvJvo+OIF4hbdhsIUg6+piq4v38Qy6WK6Nv4DdWJ2v2pbyePEb2tDijMj9GFv02Hz8tGWKhYNH4n1nUd7+oKFgjh2rEKji+elvUqunj+436SvqgYbgaDMq5+VI4oCv7xxHD95JqwCnDoyhcVTcmnucBKUZK6cN4g/vdW7Q5oNauKj9ZHk04IMC4mxBn50eRTPfXisRz+HsJeTQilS3eTg0Vf2RdLCDp5s42RNF2OGJLFieh4na62RfnkOw3JjyU2N4qfXjEKrEs9uG75AsiAQCEooFQIKgX7T0gYwgAEMEEBAWIL42GOPkZCQwKJFi/5b+xJFgejof0/Z0zcFs/mbT+k60+okI8mMyfTtJoCdg16vQaEQ6HIFIufzbZzX/zT+N54TfLPn9a/2wW5viJfXHuH+a8ewcX94Yv7uxlNcOiufX39/Ii5PAEEUePKdw9S1OBg9OJGJw5N5/LUDPWTKY4cmMXl4Ch02D/MnZOLxBslNjaK6sTc5Y1RJhM6usrvKd5Ny/W/p3rOm3zZ6qo+Q+r0/4GutxXViOyFXN5I7vN+gvRN1bP/m9QpDFHLg/Iqpbso1aC0xiK0VPcmfs4ideyMEfLS8/3iPibGv4STNbz1C4sU/QfKGVwElr5Pube9iHD4D86i52A+eX1H11h4navQC7Ic3os8bRdz8W/A2VoS9T07sQPZ7iZ13E77GU3RtfgPDkEkkXnIfcsCPoFQieZx0bXmLQEc9tp0fEr/kDuyH1hO/6AcIWj0Kg6XvKGrAeWI7icvv7kEAyX4vgkJF1ISL0KYV4u9oYIyiHBTD8I27nsQ5CpQioFASEtTUWANMGJbMR1v6lviPL0qmqsHG9sONrN97hruvLKHL7iUlzsCccZmcbuym7HQnd19ewnubTvGHNw6E5fVaJYsn51BcEM8La0rRqBQsnxYmf7qdfl5Yc5zL5hSyZEoubl+AUDCsVGntciPJMtcsGMwf3zpEQUY072/u25MhEJSw2r1YTBpOnO5CEAQUCvHf+m76/30XdjVYmTIyhb99dDxSJgRhg9PbLxnBr17c04P0SkswctOyIgA+3n66z0H/0qk52F1+th9uRBQFJgxLJhCUuGx2AZxY1W9bAh31KKMTQZLo+OxvxC3+AdFTVuKtL4soaTSpBXhqjp7fSAoiag1caHTeAwolghieQMsBL5LGyI+e2cPNy4dx5FQby6bm0tDqYGyWGkVnNZqiqbS+/zjRUy+nY91LBNrPl7AFuppoX/sX4pfeia/hJG0f/YnElT/F23gq4tFj2/0RqQVjiJt7E5IUJHrqZSj0JuRgMOz743XhrjyIfd+nJCy/i/ZP/4pp+AxMI2aisiRiP7KJ1vceR/6K8brkcRJ0WlFGxUeS9aLGLcFbvoGokbOJHruIkLsbEAj5PYQsGQSCEorT27k8yc3yawooa4PnP6vpoZScMCyZnceauG7xEIw6FR9uqepl3g1w9fxB1LU6evze+WkWTpzuvxR8++EG7r9uTA8CaMzgRMq+Uj5+8oyVYFBmcFYM+RkWKutsPT7PSjYzeUQKB8pa+GRnDeOKklCIIpnJZvLTLURFfXfe0//dMWkwFKKlw82HW6o4cbqTmCgtK2cWkJcWhdn4zS/wudx+Wqxu2m0eSgoTGDMkkcZ2J89/eIwr5hZypsXB3VeU8NLHpRHFZUK0jhuXFPH+pkpqmrpRLRiMY3//YTDeit3IE4agScnD13T+Geo+tY+Qq5u4+TejMFrC7z9Zxn54Q8QTL27x7USnFhCyt9O57u8Ebe0Yh04mYdmPAPCcOU7Q1o5t+yqUxhhi592E/eA64pf8kO49a/CcPop2wS0Yh81ADn29L5vsc3O8uoOlU3N5a11Fr8/z0iwomo/3awovHVrNwuJbabf2rQ4+B4c7vP3I/DiqG2wA/OjykYiiyAN/3RkhYa6YW8g1Cwbz/ubKiJooI8nEjYuH8uLHYZWSQaciK9nMIy/tZUh2DN+/aDhPvXvez0elFEmJNxCUBZ5461CE/ImcU3o0Ww41oFEp+MUNY/l0Vw2l1Z0YdSpmjE5ncFY0Rr0Ks+H8vefzB2nqcLFq46lI+MxlcwrJTDZh1Km/9twHMID/qxgggIC//OUv7NmzhxdffBG9/r9XsiRJMnZ7/8Zw3yUoFCJmsw673UPoG4xQlCSZqnorE4uScDi+/sXzTSLWrKWitoupw5O/lfP6n8S39Vv9T6Ov8/rvTlL/1T6oV4t4/UEee3kvU4rTuGlZEWkJJnYfa8LlDXLfX7Zz95UlWO1eBAEWTcrm0Zf39hq47DvRQnaymY5uL21WD4WZFq5dNIRn3jvSYwAWbdIQHWOmQ6GEUBA5FAhHKGv7P29BrQVBDPvlxKaisltRmOOBcJRzsLsdTWoBvsbeKRuWqVfg9frRTb4KXW4JskpL4NQuJHdv00dlVDyi0YK78kCfqgg54MNZvhND4Vhc5bsif3ce30rSpff3IIAAfK01eOvK0GUV0bXtHfTZI7CMW0rrB39AnZCFHAriLN2GacRMXBV78FQdoq+Jc8DajL+9jqRLHyDotBIz82q8Z/r2agDC1/UrTIAmJS9snh3w4izdBkCw7gShHW8QNXYJAUMUbV++AYTNs9Pn30H0+Ex2H2/uJXsfkh2DWiUyaXgKv311PyFJ5h+fnOAHl4ygpcPNoy/tQZLh2oWDeea9oxyv7ohs6/IGeXfjKa6YW8gf75qKSikSDEm4PAEUCoH7rhnN4ZNtVApWhubEwtmVzG6XD5VSQZRRw/dXDOv/3M/C4wuiUSlQnlXXhUIyVud/3Sj/390Pz8GoU/P2+tIe5A/AwonZ/O7V/b0UTw1tTj78soqblhdx12XFPL3qSI++OaEoiXiLjt+9dt7rqbbZTlaymfuuHoUiPqPftigtiShMsfgbToIs0bH2GfRDJpF89SM4Dq3Hc/ooosGC/JWyME/NUQxDJuIq29lrn+biObjOmqWjUNLcLdHt9PPUO4e5/9oxvLy2lN9flUXXqkdw5RQjKFXIoSCCQtmD/LkQtl0fYSqeS9emV7Hv+xTT8Bl07w2b1RIKErC14ak+jDImGevZexwERJ2RuHk30b37ozCh6rQieV3hVL79n5Fy3a9xHFrX5zEBgtYWFMYYgt3tGIdNR52Yg6+5hkBnPd76cgRRib+zAX1uCaLXjXPdi1zYtwdnF/PLKy7loTfCpVYZSSbSE0288cVJdh9v5vd3TOaB68fy8toTVJwJl7fEmLVct2gwlrPltxdCrVLg/hqzc39QwmzQsHBSNuv31DJlZCrji5L5wxu9TeU7u71sOlDHzUuLIoqI/HQLV8wtpKbJTofNQ3KcgV/cOA6fP0hDm4uVM/MRJAmr9ZsJpPgmCNv/zphUFAWarV5+dgEJ0NThorR6N5fMyGPRxCwU31D4kiAIOP0h7E4fVQ3dvLOhAoc7TDpmp5i5Y+VIXv30BFcvGIwoiNx60bCIb1O308eb605Sf7Z01BVSI6q+hpxSajjZ7GXatCtoeftRLrwnfY0VdDm7iJl5LW0f/YmvvosUOhMd618mZsqlBNrD6jDHkY04jmyMfMdbfxJz8Vy6Nr+GsWgKhAIEu9tRxaZiHr2AoK0VVVwKCmN0JNChL0Qlp2E77mFaSRpf7D7Tq/Rt3NBEQm29UxLPIdDVTJxJhU+tQehHEaPTKEmJM/Kz68ag1yg5UtnOzNFppMSbuP+Z7T0CBd5eX8GYIYn8+vsTw2l3KgX1LXb++sFR2qwe8tMtXDlvUCSdr6ymi2nFaSTHGiLhB7cuH4ZKhFarB5cn0Ks9gaCERqWg9HQnp5u6mTEqnVuWp+DxB9lxpJHS6g7uu7IEqz/cz0VRoKrJwSNn37kAzR0uDp9q55blRUwqSuK/e4v+py3qD2AA/xX8nyeAVq1axbPPPsuvf/1rJkyY8I3sM/g15mXfRYRC0jfa5oZ2J76ARGK0/t9amxsXFTagO0ckfNPn9V3A/8Zzgm/+vP6VfYlKkbsuK+ahv+9m0/46Nu2vQ6NS8PsfTqaqoRtJhg1761g5K5+dR5spr+nqRf6cw7q9Z7h6/iBWb60mPdHE8aoOrpk/GBlo7nSRGK1Hr1XiFfVohkzFd3wzAM7SbSQsuwv7wS8i+xJUWkSdEcltxzRiFsHuVhxHNoMgEj3tUkStEVV8OoH2erq2vkPC8h/hOrkbV9muiEeOeeqVbOmIZVeFnUBQyxQ5yIzkRjyHPiN64ope7ddljyBk78Tb0Hu18Rx89ScxDp/egwBClpD8XhDEHv4JCo0ByeNAabCEJ5p71+JtPEXMzKtRWhJp//hpAALd7WgSsvBwiL5UE+rYVPzNVQiiiBzw0bb6KSzjl/XbRkGhOuuREvkLMbNvAFFEm5IfSRGLmXktkt9D58Z/EL/4dkS9Gcltx99ai3XVr5CXPMgvbhzHwfJWth9pQqkUmFqcRnayGbVK5M9vH46shHbYvJj1ah5dsxdZDg9Ms1OieO2zvn1EVm+tZnBWDA/+PUwGiEI4yWpYbhzD8uJQKkR8/iAajZJOu5cEix5/MIS124fXFyQ2Skt8tK7f1d30RBMdNg9TR6YiCOH9/7ufHf/q8WRBwBeU2F/W0xBcIQoYdaqIge9Xcayqg9ZON7uPN/PILRNo7nRhtXsZlBmDjMwjL+7ttU1ts50uh5fY7GLs/USrK0qWU+sxkpGUE/mbu2wn7oq9GArHYx6zEABDbgmus5HQgkKFs2IfMTOuRGGw4Di6CdnvjXhjKYzRdK57EQDN0Ol8cCRMbASCEg3tDn6wIAPrR79H8rrQ542i44u/oU7IwteP2SycVSpFhQlhb8NJjMOm9fhcUCgIeRzI7ReSIzKGwRNwlG4FIOR1ojRGRz61TL6YkMuOwmgh5LT1eVx1Sj4KSyKWSSsQFCp8jRXo80eBFCLQ2UTQ2YVh0AT0+aPPGrf37NvBmsMkpw9jzph0kuKMpMYbeea9IyyYkMXYoUk0dbgwaFXcd/Uouh1+ZGQ6u718uKWK6gYbf/rRNDRqRaTEpLa5m3kTMvlsZ+9SWoCh2TEcr25n7JBElk7JocPmZtXGSjKSTAzKDJu47y9rRRAEPL4g+8tauWRGPqMHJdJmc3Pp7AIef/1Aj5IWg07Fr78/kSnDTAQCIb6Lr+f/334vCQLPvn+0VxkOwPtfVjFjdDq6b4gBCiLwzHtHWDY1jxfW9PS8qWmy86e3DnLnZcU43QFqmrpp6XSz90TfwQGnbSKFxfPwr/t7n5/ri+eTr49H0PuJX3Yntu2rCHQ1h5Mq80qInnIpLe/9jl7kjymGkLMLlSkWX3NVv+cSaK9DaQn3R1fFXvSDJxLobMS+/1PcVYdIuvR+2j/7O8lXDiN6+pV0fvFCr30YBk9E6m5l8vB8lAqBe68qoeKMlT3Hm1GpFEwdmUqUUUPAntVvO1SxqTTbfHT5rcwZm8H6vb0J5KvmF1JZb6WuxU5qgpniggQ0agU7jjbS1zBnf1krDa1Obrt4OP5AiBhzuDxPq1FSccbKX1Yd6UFU7TrezI1Lh9Jh8zAoMxqzXkUoIEXU0watEp1Wic3hIxiS2XuimYum51F6uhO3N8inX+nLP7l6FCIywWC4cUEIk/59tPXltWWUFCagHkiIH8AAeuH/NAG0YcMGHn74Ye68804uueSS/+nm/K9BTZMdAUiM+fcYQJ9DvEXH7hMtSAOFvwP4F+D1h1CIAr+4cRz7ylqoa3FQUhhPVUM3nrOGu8eqOlg4KYsr5w9ix1f8I84hP93C/AlZZCWbuG7REFTK8KRVq1Gyt6wZURCIi9ISZVTT5ZaQ8xZg8jjwV4VNV31NlZhHzcddeZDoqZciKNUEnVZU0YkoLYk0v/mrSNmXq2wHxqFTiV9yJx2fPBOOYf7wCYyDJ5Gw8qeIhmisPgV+rQGDo4mFo5NINknERmlwb/2EkL0DUW+OEB6izojSHIeg1SMHfCj0/fvfiHpznyuWglLd0zxTVKKMSUbye/C319O54WXilvwQhdZA+8dPY5m8MmJa6a0txTJ+KfaDX0RKTUS9GePgiYh6E7rMYbSt/QuazGEIwQD+pkokjx1VXNp575ULYBwxE9ep/Sijk9Ek5WAYMgmFIYrOdS/2iLd3le1Elz2cuPk34zyxHUPhuIhZtuRxoGo/xWs72pk4LJmJw5JJjjfQ1e2ly+7lwy+raGjrWULn84ci5M9tFw3H6e69wnkOHl8wYugsCHDnZcUcrmjjhTWlyDJcND0PvUbJ4bNlQW5vEI8vyKCsGPadaCYYlLh5WRG/+cf+XvuePCKF8tou4iw6po1KIxCQ+iUtvyuQBYHNhxpISzT1Gsxr1Apc3v6vJUAwJLH3RAt7T7Tw+B2T2XW0CVEU2H64kRizlgUTs0iNNyIIAjVN3bi9ASpqrbxT0cqdS+7Hv+7J854hgoi6eBHlgVQ0TglnSElSbCqBzrN9PxTEVbYDV9kOTCVzUZhiMJXMRR2XhtIUS6C7HQEBw+AJGEvmIwd9hGytOC4oJVHnjcVTuIAJDg/zh5kIocAuqUm1BHHKEsahU1AnpIMsI/ncKAxR/Z67oNJGDM8V+qge8dTKqARCHgcBawumkbPgLOEDYTVDpAQmFAw/b+IzkPwedNkj8LWcJm7R7TiPfYnr1L4eZumi3ozKkoC78gBdG18l+YpfIqh1BK0tdHzxAucmz+6KfXTv+4SEpT+k7eO/9PJl8R/5jEXzH+Avn9RQ3dDNbSuGU93YzaMv7SE90cSdlxVz5FQ7iTEGrA4vsgw3Lyuiw+alqt7Kj68axW9f3Y8kyTjcAVyeAIWZ0RHFUORcRYGVswsA2HeilWiThh3HGvnhymKqG2zsPNaERqXgukVDSI4z8MrasIphd2kzE4Ylk5sWxSMv7e3lZ+LyBHjizYM8dOM4FIRVrbIsf+f7238F3kCI2ubePjrnUHHGSkle7H/7XAVBoKndxejBSbx1gXn3hXC4A7R1uUlLNPLG503cf90Yjpxq72USnplkwuMLUavIJj59CIGvpHoZxy5BFZNEQnc9QZsNdXw6cYtvJ+S0odAZkQURf2dTL2NmCJs7h5w2JJ8Lhf5r+qNae768S5bQpg2i4/PnUSdmo4xJJuiwknrj4ziObkaVkEHs2cWRoK0VUWfCXDwHVUwKHZ/9heirH+dMV4hgSCLGrOWWi4ahVil44s0D1LU4efLmoYj9mLubp1yOq1VDbqqZxBgD0SYtn++uxe7ykxJn4N6rRtHR7WH9njMEQzJZKVFYTBo0apEue9+eQYIAV84rZPOBerYcOv/ujbNo+cHFIzDqVT0IIEmSaetyc+BkKzFmLUadCgXhsr2fXjMaf1DC4fKTFKenoc3JjiNNRBnUjBua1IvgGz04kYJ0S2RhWaEQ6HYF+jUFD4Yk2qwe0vowpB7AAP6v4/8sAbR3717uueceVq5cye233/4/3Zz/VahpcRAbpUWj+naNAr+KBIsOf0Ci3eohNsb4bz32AP5zIcnhFaSmdifFhQmMG5LE6MGJ3P/XHdx5WXFEOt3t8NNl8zIiP75HlDTAsqk5JMUaeGvdSTq7vShEIRzNOj2PQFBiyaRsvL4QL31ygso6G0U5sdy0rAh54vVET7ocpc8OGgNBlZ6E4rm0vffbiK8GgCo+g8QV92Lb9RHeuhPIQT/OE9vCiVeX/BTZ5w5POpRamu0SnU0eUmiCE18wyOtEmzEUfcIogrZWPF4nmrRC3BV7SFzxY0JuO3LQT6CzEXVCJrIgYhwai7uy73h0c8lc3FWHIuQRhEtlzpE5AAgicfNvwn7wC6LGLMRx7MswaRTw0fbZ84RcNgId9WiS886aTMvYdq0mftmddG54BePQKWiScnAc+5JgXRkhh5Wki3+CoNHhqWlBUGnCqqeld2Hd9s75SawgYhw2DdOImQiiAm3GYEJuJ6JSheRx4DlT2ut8PDXH0BeMRVRqENU9B4qK9ipC0miMBjUb94cHvCFJ5qZlRb28naJN50tSrl04mOPVHYwfltzvfScI4QEswJyxGbR2udl6OEwwxJi15KSa2bC3joWTsnnyncM9Elwmj0hhanEaXx6s46fXjGb11mqqGmzERGlZOiWHotw4TtZ28fDN43lxzQmWTskmJf67LWN3+oK8ua6C+64ehUGrxOU9f74eX5BoU//pjmqliEIUiDKqmTk6A6VC5JaLhoWjo9tdTBiWzDvrKyK/WWFmNLcsH8Zf3z9KdWM3j38e4vqZ9xOv8SEH/ajMcZS3Bvhwaz3Lphr4++c1PHnzfXg3PIsU8KHQmwlYW9FlDEGbNojOja+TcsXPaVv7dA8jd4UphsSLf4Lj0Bfoc4qxTL4E45gluFVRhJR6zF01qHaE1UAxM65G0GgJNrUQM+NqVHFpOMt2os8fg6tsB5rEbBAVEaLnQhiLpuAqDyvJTCNm4DwRLlkSNHriFt5KoKuZQHsdmsSssKrwbAy1v6MRc8n88MRXlhE1OhIvvo+QuxvJ68ZTfRiHfSOa1HySLv0Ztp0f4q07gSoujfglPyRo78Bbewx1XBr+zga0qYU0vnI/X1VOSG47tp0fYi6eg23nBz0/8ziw2T1UN3QzKCsapyfA+r1niDKquWHxUNZur2ZoThyPvrQH/wVKlnnjMxmaE4skSzx1z3Q2H6intcuFyxPgzktHsuNoE5/tqsHpDlCUG8eyqTms2VrNsaoOHrhhLD5/iOsXDeWJNw/0KPHcX97K1OJU5k/I4uQZKwpRQK9T0mb19DvRbGhz4vIFCQQlTp6xYjGqyU+3oBGFf7vx+jcJ4Z8Uzyi+IfWPQiFwurGb5DgDZ1r6J5xON3UzZkgid18RVpz84saxfLz9NIcr2tCqlUwflcacsRm4PAHe+KKWyyZdQ+4EF57SLciiEgbNQqdT0v7Gz3sQkZr0ISQsuZ2Q14MAKBJNfZZmSV4X2uzhuKsPo0nJ66V4PQfTsGmRMk9j0TQEUUH0tCtQWRJxle2ia+MriBo95lHzEdRarHvXEjVuCQqDBVV0Ep2bXsW260MAhICPx187GimHAxiZH89PrxnLF7trON2tYPTKB3F8+lQkaEFQaVCPW0mFL56xQxO49+ntuDwBhuXGccPioWg1CuKidLzxeXkPQ+2jle1kJZu5cclQRuTH9TJLhzAJc7qpuwf5A2EF7J/fPsTtl4zkd6+dX5QYV5TEF3vOUN/q4HBFO8Pz4rjr0pHYHD6eff8ozgvKwIoL4/n+imE0tDm4YclQLpudz9odNSDDrDHpJMboEc/1J0GgodOD958kW4oD6p8BDKBP/McTQB6Ph61bwytajY2NOJ1OvvgiXEYxduxYYmJiuO6662hqamLDhvDKbnV1NbfffjtZWVksW7aMI0eORPYXExNDRkb/ngAD+OeobbaTGP3vVf9AWAEEUN/mZFBu/L/9+AP4z0QgKEWUHAdPtjG1OJX6NgdWh4/dx5tYNjWX1VurcXr8jMiPp8PmIc6ipcMWngzkpkaREm/kuQ/O1+KHJJntR5qoa3Fw39WjCAQlHn5xD15/iGsWDMZi0vDXD47R2e0hL83CwklZfL6tlqmDTGQdea4H+QNhSbl12ztEjVmEuWQuvpbTeKoPozBEYdvxPp6ao4haA2LRPLQpQ0iu34i/9Lwngb/tDM7jW0i5/reo5lyP+9QBZEBQKAm5bHSufzkykI1f/iOkUJC4RT/AVb4rTJqcXc00lcxDYbCg0JuInX09ciiIdecHJFx0NyG3I6yG0JvRphZiP7YZbfoQ1HFpeBtPoTDFIgcDhFw2ABzHthC/+Afh/csS3roThDwO4hbdjr/lNG2r/9zj/B3Ht5C4/G78rbUkrriX1tVP0rbmz0SNXUzMnBvDJI/fg6jRIfl9tKz6LdLZY0G4vC1h6Z1nfR16wnliB1FjF0fUP+cgRaVgq/GhUytJTzQxYVgyw/PjCQZCPHTTOFq7PJw43YEkycwck4HPH2TxpCyG58Vh1Kkw6lTEmLW9Jo6iKFBSmEBpdQfJcQYWT8rhgefO+8VMH5XGut1nuHhmPr9+ZV+vEowdR5tIjTfS1OHmwMlS5ozNZOnUHBzuAF8eqGdEfjyf7Kjh4Mk2rpxXiChAKPgdjoBXKdh9MDyh2HygniVTcnhnw3k/K1mGk7VdjBmSyP6y3vHqiyZnY9CpuGbBYHYcbWL11iqeuHMKmUkmok1a7n92Rw/D9oozVn7x/C7uv24Mv3phN6eb7Dz4hh1RFFCIApLUxIPfG8/3lpr501uH0KmV2CQdCQtuR2osI2BtxjxqAaqYJDx1J0i+/AE6N7/eK8Uv5Oii7cM/YpmykrbVf0ZQ64lfcjsmhYDn5HYU+ijMF98HgkDb6icjEzhVTDKmkrkYh0wBZDw1R+k+8DlxC26l4/O/R5LyADQp+ejzSmj94Al0+aPR5RaDUo1lwnJErYHODS8TPe0KAIJuBwnL76Zr8xv4285gKBiDr7UGx6H14RI4UUHMrOuQ/R6sW9+OHCPQXofr+DaSrvgFsiRFPIkUejNJl/0cQWPAWbYDf3t9j7ZdCG99OVHjlvb6uyZtMCebwqV9s0ZnRGLV543P4oMvK1kxIz/iqXUh1u05Q3qCCaNexfMfHiXapKUwI5rObi9/eOMAV84dxDULBqPVKKlusPHntw9FJtFrt5/muoVD2LDvTJ+x1tsONzJ3XCZZySbGDk3ig82VLJ3y9Qmxnd1eHn35fKmhUiHywPVjyEo00md9yn8ANCqRgnQLp+ptvT4ThbDp9jehdJIkmeR4A1aHj3iLrt9Sz3iLjr99dJwr5w3ii921bD5Qz8zR6dx1eTGBoMTuY83c/eet/OKGcYwZkkhCajIP/GM/6YmTUCgEbjKa6Hz3lxGD9HPw1ZfRte1dTEXTELV6BJWB+CU/pG31k8gBL4JSTcysa1EYonBXHsBUPAdFVALJ1zwaNnauPY7sD7dZk1qALmckre//AXVyHuqUPNo++AMJy++m+c2HexzbW1+OYfBE4ubfgnXLWygMUYg6I97a44AACiVtjlAP8gfgSGU7n+w8TYxZS0KMkQffL+WySXeQYQGkIG5Zyzv7OthdVsqffjQt4rVzvLqD49UdJETrWDmroM80tdpmO+W1XYzMj8Ni0mD7iufa1OLUHmOdC+FwB/AHQ8SatVgd3rCiyKiJeDNBWE1td/t58O+7e8XSH65oJzFaj8Md4Jn3jnL/tWO4YdFgRCAQOJ9mKghgdQf45d928f0Vw0mMCYckfBUatSIyLxjAAAbQE//xBFBnZyd33XVXj7+d+/9rr73GuHHjkCSJUOj84Pfo0aM4HA4cDgdXXHFFj20vuugifve73337Df9fimBIoqHdybQRKf/2Yxu0SvQaJXWtjn/+5QEM4CwuHMDmp1vITDIhSRBlVLN+bx2Xzyng7itKEASZ9zdVUt3YzQ8vLWb1liqOVLYzd3wmH/STxnSmxYHN6SfKoGZqcSqxUVpsDh+vf37eF6azu4X9ZS3cfWUJeSYXnq6mPvflrSsjavwyWlf9FuPQKcQtvI2m134eSfgKOTrhyxfQ5Y3CkDmUrq+IXaLGLaH7wOc4LvAZsu/9GH3BGOIW3ELHZ8+jjE1FHZ9BoKMB16n9qOLTsUy6hJDbgcoSh6vy4AWmmZ+jTswm+Ypf0rbmaeSAh6ixS9CmDyLkcRIz9Qr8nQ24Tu5GaYrFXDyXC/NsJY8D57GtJCy9k65t7xK0hlUKokLZY/IZQShI19a3MY+cjXX7KmKmXkbnhldQ6KNwHt+C48gmkCX0+aMwjZhJ8hW/xFN7nO594ZI3T81R1Ek5aDOL8H5FCSQHfSgtCXhqzg9sBYWKYPJwmjZUYHP4Il4EaqXI3VeWcOJ0J+OGJtHt9NHU7qSl00VxQQInarr4zT/2c8PiIfgDIX567Wh+++p+HC4/S6bkMDwvjkBQIi5KS3WjnavnR9NmdfdYCY0xaVGrFFQ32Pr03wD4fHctNyweylPvHubt9RUU5caSEmck2qyhusGGDBw62cqlswuItfSvnvmu4Nxk4ODJNoblxXHlvEI+3nYapyeAUiHQYfNw3aIhWIwathxqIBCUMGiVXDQ9D6Nezc+fO+9JNSQ7Bo1KQX2rk92lzT3InwuPd6C8lZEFCRyqaAPCz4JzzwODTklNk50Hrh+LRgnxgUY63voNciiAcdh0BKUSx9HNhNx2FFoj/4+9/4yPozzbsPFjZnuTVqveZcm2ZLnLvTfcDS4YGzCml4QQegkpBEKAQEJCgAQSeq82Nm7Yxr0Xucqy1avVy2p7n/+HlVdeSyLv+3vyPuH5R8c3aafu7uzMfd7XdZ6GYTPwNFaEV8IBPkszokoLciVxi++nfd8XVwhFAtFzbkeVNACfuRHjlOuQG6LpOLaZ9t2foek3nMRVv8VWsA/XxWISbvg13ra6YDVCSg6IMly1RcQve4SA2xn04vJ5sRUeQBmTjGn6jUiiDE3GMCSHhebt7xI5egHqhfdiPb0j7PeAgB+lKYGGL7uegWQGU7AlJSaVgMuOPCqRjqMbsJ3dE6pGUqflYpp1M97Wnn+7QlxZLSGIRE67EfeJ4OD5UvuIKMCo7DiGZkVzsqi5V/3ku8OVPHzjKGaOTkOtlHH8fBMalYzHVo/hq++L2H2i53bdc+WtKBUiB870fry7jtfw8+tGolbJmDE6FVOkGpkodDOeBlArZd2uU58/wPPvH+W1R2ag+vEkwv+/Qi7AvdcO58k3DnQbrN+yMBe1XPy3ZG0HAhKZiRG8tv8UCyb14/2N3Q3+5TKR7HQTn28vZsboVHbn1+Jw+di4v4LKegtJMXqiI9XcuyiLRI2L+AwVZdVt1DRZqW2y8sc7hyFvr+wm/lzCXngQffY4Gje8RtzSh5ECAeIWP0DA7URhSqB118d4GiuJW/wAgkyOp6EMZ9kpZDojCcsfB7kSUalCCgTwmRuJWfwgyqh4mte/StS0GzAfWNPjvu3nD2IYPhNt7kQUpkTa93xO3JKHEGRykCmwyBXcMCsTi91NU4eHE0Ut+AMSO4/V8OhNo7A5vFTWW3jx654rp5raHGE+WQB52XEcLug5QRPgwOk6DFoFT981nne/PceZ0mCIQbxJS3KsPtS6fCUDUo3Em7Q8smoUXp8fo0HF2t3hXkkxRjXldZZu36dL7DpRywMrR3LgTB0vfHCM1x6djlouw+ULmuWrVDL0GgWbDlYQkOBoYSOPrMpj66Eqjp1vDCXDAfzs2uEoZQLS/1EBto8+/r/k/7wAlJKSQlFR74alAB999FHY38uWLWPZsu4GqH38z7nYbMfnl/7X/X8g2EceF6WhqqFPAOrj/zk6tZwInRKL3cNdi4dgsXvZcrCCBRP78dm2Ij7fXkyUQcUTt4zhQlU7Zpublz46zuyxaSycnElMpLrXGUuA4up2PB4/rWYXc8dn8Oire7stE5Dgq++L+f2SaH4oN0/yBUUC27l9aPqPRFTr8HvDq0ucpfkYhk1HUGmROr1ARI0BhSmJ9r1fdNumu6GCyLGLiF/xZLBEvegIHUe+DZW/W45sIGr6jcgjTJgPfM3l7R2exgo6Dq8nZs7tOMpOII+IwXpqB+rUQbRufRtPQ3lw/2odokKNNnsciat/j6umEMuJbdiLDuNprSVy7ELkBhNyU1JwcNxDWT2At6UWeWQs7rpSjBOXoc0eh7e9AeuJrQgKNXGLH8BZcZqm9X9F8rhQJWYRfdWt2AsPYL9wCOvpHZhm3NRNANLlTKDj+JbQuYlqHcq5D/D3HXVcO3MA245WdZ2zL8COY9XMHpvOb986TCAgMTAtiqH9Y6htsjFzVCpTRybz6hen0HYKFHdeM4SUOD1rdpXw7LtHQmOmlDg9j64ahcPl4Zm7xqNRK5ACEk3tdgamGWmz9uzDAGCxe1CrZGQlR7J6frDlrLyug1ijhpQ4Az9ZNpSn/nEIl9uHIAr/tnaN/y/w+fyMG5zA+r3B78v7GwsZMTCWZ38ykcZWB4LQ+aD/yl7GD03kkRtHARAfrcXl9vHk34PVUxmJEdyyMJfCilYkoLrBSmF5dy+PSxRXtzMowxQSgC6RkxGFVq1gV34NhRVtvHhbLq1bXkLye9HlTkIZm0rjly+Elref24c8MpbYRT+jcc0fkbzhn1vAaUE3aAKOshPdqoRAonXbuySs/CUEAp2R82+GXnWUnUCQK4mcsBgCAQJeF57mWpACOMtO4jU3Ejl+MdaCvWhSsmnZ/CaGYdPRDwqGWjhri9ENHEPUjFU0b34Dv82Mq7ES7YDRWE9+H3YkMoMJb3tj6PrTDhyLYeg0zIfW4d77BYJCjWHELHTZ47BfOBz6fXFVF9Ky+U1ir76v1/daHpUQbGHrbJtRJmSin3EbNS49E4YYGTEgFqVCRnqCgVXzBnHkXAMddnfIh60nWjtcqBQiu0/UEG/SYYpQUddi591vC0iO7b0N3KBV4nD5wuLnr8TrD6BRy6hrtvPih8e5aV4OS6ZlsWZXd/PfJdP7s/N4Tbf/+/wSBWUtjM2J+z+Z3hkISBi1cv78wFR2najlbGkL0Z1tptEG1b9F/LmESi5w69VDqKzrYO74dLYfqQoJfzqNgnuvHcbazvfe5wvgD0hhv30mLUxM8uDa/x6eA5WIKi0DR8zjuVvGsel4MxFNp/D/0IgnEEyO9NvNwVCAq+/D01iBIiYFyedFpjEQM/t2kAKY93+Nq6ZrEkeuNyIzmDAf/AafuRGZPgrjhCUIsSl4GipQRCUEPbR6wVGaj7etHsPIOUSOXkDLljdD919BoWLB9FUIMWBraeS2qZPZW+rGExBJiNbS2tFzW+IljAYVj9yQx4miJnadqMXt8SOKwg9+933+AG5vgMZWB7PHpXHTvBzUquCbJ5MJzJ+QzvajNWGi58jsWGaNTuO5946GRBiFXGT5zAEsnzmArzsnySJ0Klp+4HnJ7fFj1Ku4Zkom+ecbcbh8rD9axvYj1aHvQ0K0lvuWj2D84ESa2h18sb0YlVLGfdcNx+7ycqakmWumZBGpVfSJP3300Qv/5wWgPn5cVDVaEYSgwdt/grgoDaW1Hf96wT766EQtF7lr8RC+3VeOKAo8++4RvL4AI7LjuGZKJpsOVNBudVNdbwmWRNvc2J1e1u0pY92eMh5fPRqVQtbNjPISOo2CzORIvj9eTXF1e4/PzOOHJDJtZDLKiB9o0xHlCLIuXy3rqZ3ocsZjObap26KuqnOoEjJDQod2wGhs57tHUmv6DSNi1Dxav/+gU6wR0GQOJ27JQ7RsfRtfe9CEsX33p6hTctAPmhiKUL+ErWAvmvQh6HIm0PLdP4MzlxASfxSmRKLn3EnH0Q3BeGkklIlZxMy5nY7jW3BVnqV169sYp65EEZcRqmjqlc4qIr/LTuSYRTR8FRyIm2atxnxwbZcfEOCuL6Np7cvELX0Id0M5PnMTouoKnx+DCU3GULQDxqLoPx5XQEarT8vmfDNT8tJwe/xY7cEqlEsPzbPHpvPnz04QCEisuGogEToln20r6hyQypg9No0b5gRbr/786QlGD4qnoFzBvlPhFQe1TTZKasz0S4rgu0Pl1LfaSYnTM3tsOoMyTJTWdvSaaJQSp8dq93Lj3Bxe/Og4TrcPrVpOvEnHuYpWBqYaue3qXKwODwG/9O8cq/3bkSSIi9IyNCuas2WtAJwqbmbRZGeYnwTAnhO17On0n/j17WND/48yqLhlYS5/+vg4dpePvOw4zDY3UQYVF5vDzbovYTKowyqvAOQygVsX5vLJlgsUVrSh0ygweNvwepyAgGHodBq+eL7btnwdzVhPfo9+8JSwSGgAmSEaXeZImi8Tdq54B3DVXsAw8qowYUmQK4lb8iCO0hPUf/hrJJ8HmSEa4/jF+O1mVEn9MR9ci/38IZLv+CNtuz8hes7tmPd/HRJ71elD0KQPRlBpMU1fhSIyFuvZ3XjbG3pt1woeswnD0Gk0rn05JAhJXheWY5twVRcSfdUttGx6I7S8p7ESv8OKfsRV2K44fxBQT72V76q0jLv+j5gMSpySgof/eZLlMzRo1XL+8tkJ5k5I5/HVo/nbV6cprGwjKzmSicOSOHi252qFrORI/H6JRZMy2X2ilqp6C/2SIpk0LBGlQsa3+8p7XG/WmFROFTcxNjeeXfndTeQh2ILm8vhRq2QsnJTBp9uKuP3qwdy3fDhf7iimqT0YA7O25dQAAQAASURBVH/DnGzqWuy9JlK1dLiuSCT8v0UgIKESYeH4NOaPSyPCoMZuc/3bEwVFQaC+2YpCLmPm6FQWTepHcY0ZtTJ4z1u3p4ySzla0s2UtzB6byvABcbz40XFiozQ8vcCAZU1X5VrA7cB5ZC3G1GJun3UHzm/eQT/njt73r9GHAgh0OeNx1VzAvO9L/HYzglKNYdgMlImZOErzw8Qf7YDRAGGird/WTuv294gYPR/DmPlIP3CdAaF7Wsfhb9FkDAnzHpK8btq2v0vc0kfwHVyD/9QW5i15nE/OiLy34RxXT8nkkVWjKKs1YzSoqGu2s+/UxU7fNBX1LXZe/fIU4wcn8OQtY3jl85OcLWtl7vh0Tpd0bwEDGDs4gTOlzeT2M9HU5qCuxc6nWy/Q1O5EIReZnpfCk7eM4U+f5ON0+xAFWDw1i9+/eyRMWPL6Any2rYhf3TqW394xHl8gQEl1O4P6RfW4Xwj631kcHsovdnDr1bnkn29k6+Fwz8XGNgc+f4APt5wPay87eKaeqSOTWTgpg9gIFR7Pj7ftuY8+/tP0CUB9/FuparQSHaFGKf/fNYC+RHyUlqPnm8LKQPvo44fw+wPkpkeRnT6KncdrQu0i3+wq5a4lQxg+IBaPz0+ETsm1M/rz8qcnwtY/XBB86LjSGBpApQiaLe4/XceYQQnIZeG9AEJnif3FZhuvfnmK66elMGPOnSgjY0I+G46yE1hP7cQwbDr2oq5ZxIDLhqgMb+1RxqUH04MSMlGYEvE0VRJwBpe75C8S2rdSQ+S4q2n48sXLBoISzvJTuBvKg9UMnYNRURtBwOMkYsxCtAODg25bwR4cxcEEM0GhJmA34645T/TcO0MGlgCmq26l6du/hplueurLaFz7ZxJWPEFLRzOR4xcj0xmp//CXJFz/m17NNRWxqXjNwWoNuSEaBAHJ7UBU65Cp9WHiTxcS5oNBA1p70RFAQNRGAKDLHocuezyNa1/GOOV6avVDaG5zYDSoWTU/ibYOFyeLmxkxMJYb52ZztqyFbUeqcbh8uD1+hmRFo1XLefuy2GK318/GAxVUNVhZvWAQTrePicMSeeWzk92ObPLwJDQqOY+9ti8k0JTUmNlz8iIP35BH/1RjmN/U5dw0LweAj7acx+n2MWVEMtPyktl6uIpTxU2cLNKxYtYAjAYVxdVmRg2K6+G9+fEgEwVuWZjL8fON7DxeExRmpOAg/0rDbYCkGB0Oly+UtLZgUrBi75J5tEwmsP/0RW6aN4iC8tYe97lwcj9Ka83Em7RYHR4G94tmybQs9FoFB84GxbqcdCPGGBPitY8hqLR4m6u50uT4EvaSY8QteShMAFKnD8HTVIUqKZvYhT8FmRyZWo8gk+NuqcV2egfui8UEPC4EURYahAJETV1Jx9GNuKq7WmL81lZat7+LadbNCKrOSltJwmdrI3L0Qhq/fhHJ50GZkIlcH4XX3EjT2j+RdPNzweNvqw8Ku6mDuh2/39qGIioBBJGIkXMwH/qmx+vQ01iBIFOEGcFDsEJPmzEMdfIAOg5/G0wVS8hCHLWcj49Z2XW6lPeBfokR3DQ/h+Z2J5sOlLNsxgCmjExhUEY0tU02CiuDVVtlFzu4d/lw1u0p7eaDArBqbg6Fla28ufZs6H8lNWZ25dfwq1vHct91I3j9q1Nh6wzvH8OonDh+/eYhnrpjHPkXwp8X5DKRJ1aPpqnNwcb95TjcPkYMjOW3d47nnfUFDB8Qy73Lh+Ny+2npcCIF6DUZEmBwZvT/yeqfK/H7AsjlIkqFjO4ZkP9zfAH47nA158pbkctEnrpjHK0dTqIjNbRbXCEfG4ADpy7y2mMzuFDZzkM35JGbIKPjq9/1uF1vTQEmFdhs7fjtZpSJWSgi49BkDEVQqBA1egj4g6bPbieG0QvA76P1u64IecnjwnJ8Cz5LK+q0wWHb1w+dTvOG13vctyV/KwkrnkTy+4PG7sY4pEAAQa7AfbEYy/EtBNwOdNnjafjyeQRBxDj52p63dXIb+sFT6Ti6Aet3rzN91q/41Ye1ZCYbGZhmpKy2g2azg4zESB67aRS78muYOjKFDzefJxCQOHi2nvK6Du68ZgivfXWKAalGMhIjuqW8xRo1DB8QS1mNGYvNgwS88nnXvcvrC7D9aDWVDRZuW5TL39ecYdiAWE4WNfVaVfTVzhLysmP54vtiRg6MY/a4dJbN6M/Z0paQqHeJJdOyWLenlAuV7cydkN6jiDtyYBwni5vDxJ9L7D15kXnj0/EHAnglsLt8yGUiGpUMhcD/X6Tz9dHHv4M+AaiPfyvVDVbi/oOma5cqj8ovmkn/kafe9PHjQZAkInXKkBm0Vi1naP8Y5HIZb645Q31r8JH3hXsnMXtsWpjYc/hsHS/+fCoXm20UVnS1m6iUMh5YOZI1u0ooqTHz8I15KBUy5DIxVDo9dUQyVQ0WNu6vQCkXGZRqwH2hkPbth4MDL0FEN2giiauexmeup3nD30Pb12QMwx1qJxGIXfIgktdFx5EN+A99gypxAHGLH8RychvuhnI0GcPCBpL6IVOxnNjeYxVAwGHB01iBKjELn72D2AU/DUvbEhRqIscuRJU0AHvREWSGKJwl+QCICmXQh4SgQa2nobxb9DMEWzYDPi8x8+/BXnQYQZQTM+8evNY2TDNvom3Hh+HLy5WYpt1A6/cfIDOYkOmNneKTCkVMCu667q0Zl/A0ViKftDzY/tVcjanTFNdZfpqGL58PDgAUcr7ZXcrx8008sHIkZpubCJ2S/ilGFHIxVEVy45xsXJ7gezZnbDpvf9s9WQyCs9SBgIRcJiIg9FghtnhqFr9961C36pxAQOLtbwv47Z3jeWDlSL78voSzZUEfBqNBxcqrBqLXKIjQq6istzAwLYqR2bE8997R0LYaWh2cLmnm7iVDyU43/lvbNf6/ICBJbDpQQWObg58sG0q/JCM2h5ufXTecP3xwLKzN0hSh5qfXDkOllOOLDDB7bBpZyZF88l1XhLTT7cfvl2jtcLFgYgabD1aGXhMEWD1/EBebbeRmmMhMjiQmUoPD5UWSCEUgTx8eyw3DBNrWvojf1o4qMQt1v+E/cBL+Lp8rUYY+dxL64TNxFB/H215H+65PCLiC3yNFTCrRV92Cfug0IkcvAJkc6TKxRZApUJiScFV/1NOe6Di8nvgVT4ZOSFCosZ38HlViFsaJS3HXl+E1N2FIG4wiOhFHVQGq2FTadn+Ktn8egkyOOmNop+FsF7Zz+zBOXh68pvZ+3uupui8WoYxNC2unvNQGE5k3j5irf05AoaXd7uXLQ83sOdtVbVBRb8Hnl9BrFNQ224k2qpkwJJE1u0oY2j8mbD92p5dHbhzFZ9uKKKoO+ivFGjXcMDcbQRTCxNdLeH0B3lpfwC9vHcNrj0znRFETbRY3gzKiiI3S0m5xEaFT8o9vzvLCvZPYfrSawwX1qJVy7loyhG92l3H8fJdgXt9iZ+/JizyxejR/+iSfrJTI0KA4JU7P6vmDeOGDY92OIy3eQIxRjTsgoZYLBH6g7ea/HVEETWe1z7S8ZHwBiTMlLVTUW4iL0rB4WhYOl48PNhVy7cwBtJhdfLq1iNzMaDJ0Efjae/e08Xa0okwZhPXkdmIXP4jl+Gba9n6OIMrQDZqANnMkTd/8BQSB+OuepP7Tp3vcjqP4KBF5c7tNUPRatSoFCPg8yEUDfpuZ9t2fBs3WCQrDcUsfwnb+MAG3E8njQpGQiUwbiSBThAnBAL62BrRZIwEIOG2YFC6mjUxGFAWef7/ru9fQ6uDouXp+dfs4dh+vCRNJGlodyGUCf3lgKi5vgDsXD6G0xsyO48F2rnGDExgxMJb8843ct2IEAL/+x0F6oqTazK0Lc/nVrWMxRar5fFvvVhz1LTZMY1JJjNYxb0IGR881YHd4GDs4gRvmZLNuTxkVdR0smdYfh9vHhcrgda6QycLSIC8xdnA8X37fs+8iwPYj1cwYncKLH+WHhMOMxAgeumEkkWp5nwjURx/0CUB9/BsJBCRqmm1MHJzwHzsGk0GFUiFSVtvRJwD18f8Kt9tHdnoUqfEG0hIMHCloYMvBSq6ZmkmETsnWw5U4XF4GZ0azaHI/CspbUchl5KRHUd9qZ/LwJJZMy6LF7EQmE4kyqPlmdynnO2ezVXIZeq2Cu5YMCaVoTBqezB8/DsatXz89FcPpz3CUX1ZhJAWwF+4HKYBMH0WXR40ew8iraNsTHKDFLPwpzvLT2M7sDK3qrDiFs/IM8csfx9tSg7b/aKwnt4dSuJSxqZiLDvf6frhqi1HGZRDZbxjNm/4eNJm+dFheF+YDa4iecwcxC+5Fpo9EpjOiyx6PIi6D6Jmr8TRVIii1uGp7fjCMWXQvlqObcFWfC/3PcmwTCdf/GnlEDHHLHsVWsBefpQVVQia6QRMw7/8aye8lfvkTNK17BWVMKqaZNyGPjAu2tPSCIFciN8Zhyf8OudaILGVgKOEFAJkcUaVj3jANdoeXrORIvtlTxp4TNSHfgYzECG5dlIvb7SfSoAq+hwrZD1Yb1rfYmTs+DVOEiikjkjh4pj5kIisIQT+h3gw1zVY3NoeH6kYrgzNNXDM1E79fQqWQoVKJfLzlQiiZaNGkfry74VyPGs/7G8/x10em/+jzcCUJctJNLJqcSUlNO1sPVxNlUDF7XDq/u2cCTW1OqhutxJu0oYqd974tYMn0/gzONKHTKMK29/7Gczx4Qx7PvnOYueMz+O2d46mo60AUBUYOjKOm0UJijI42i5szpS3sPF5DdKSa+RMyGJRhQqOSc/24KFxrngoN9jwttRgnLqO3JmNlQr/Qd1cQRRwVp/HZzGjSc2n8+qWwZb0tNTR982diFz9Ax5ENxMy/J+g1ojPit5uDfjytvVeW+O0d+DuFVZk2AlGhQm5KxJA3F0v+FhwXDocGkaJaT/zKJxFEGTGLfkbL5n+gTMgkZu5dNK3/S5gvketiMXFjFyHIFAgKVTc/o0uIan3YwFcelYg8IobIMQuQ6YyY93yKs7IAQaFi+eCZLLhjOk99fCE0ICuv6yApVo9aJSNSp+KzrUW4PX70V3yOCrnA4YJGls/qj06jwGr3YnV42Hm8hul5Kb1WHVxstnGx2c6fPj7G6gW55GRE8eqXp7h/xUjW7S3ltkWD0GuUNLU7mTYymRmjUpAJIhaHJ0z8uYTd6WXr4SpmjUkNaXwxRjXLpvcnOVbPEzeP5oNNhaFB9vghiVw1Jo0nXt+Pxxfg5vmDGJ8bj/AjF2L/U/gCMGVkClaHl5x0E797u+veVOH08saaM1wzJZOHb8wjNd7AE6/tw+MLcPs1g7E4rChEWciU/EoEr4uI6auR+xw0fPYMfps59Jrl2GYcpSeImX83jV+/hK+jMeRt1RN+uxlRow9Nalzelt0TiqhE7EWH6Ti8Luz/rqoCWu0dxC9/jIvvPQGAccJS7EWH0GSNwFEcLigqYpLxdbR0/SMQYFpeCs+9191bKCDBm2vPsPKqgew7Hd52fLqkGZ1GwR8+PMYd1wyhxezkulkDyEiIQBAFRAGG9o9l76laxgxKoPkH/HrOlLRw5FwDBq2S/qlGjvVw3QCkxhtwe/zcvXQof/nsBB228Iq7p+4ch8mgoqXDhcXmYfSgePIvNOL2+kP+jBAU/ldeNZCBaVG9hiNAsAp3x7GasKqxynoLv3rjIC8/MAVFr2v20cd/D/9Hswn6+DHSZHbi8Qb+Y/4/EKwqSDBpKa5p/9cL99HHZfh8AcYOTqDd6ubFD4+z+0QtJy404vL40aoVzBiVhtcfNPz9Zncph8/Wc/BMHY/+dS8vvH+Mf64r4OVPT6CQyzhcUM/z7x8NiT8GrYJoo5o/fZxPUVU7v7l9HLPGpCKXCaGWs7GZWjzlJ3o8Nvv5Q2j6DQNBRDtgNHFLHqJx3SvoBo4hbvkTKBP6hYk/IaQAbTs+RG5KonXXpyTc9AyanIkgygi4HaFWqJ6Q6SIBCHjdYeLP5ZgPfQMBH66qAjSZw4iacSOexkpshQfwttWjMCUSOXYRglwZtp4qMQufuSlM/IFgVZOr5jxN3/yZls1vIjNEEzXtRvTDZ+Jtb8Q4ZQXx1/2Clu/ewttahy57HH5rO03r/4rSlBScme0B/ZAp2M7tw3Z6J+ZDa4Pi1VW3BF8URGLm3I7l2CYGJgUTTL4/Vs2u/Jqw9KHKegt///o0crmIUa/kqjFpqFWyXnWVycOTSOt88H1/UyEGrZLf3DGOkdmxXR/PvxgMCoJAu8VNv6RIzpS28O6GAtxeP79+4yCFFW1YHR5iozSolDLMtp4H6h5fIPgQ/yMfeMoEicGZ0Tz7zhHeXHuWI+ca+O5wFY/8dS/HChuJN2nISIygqc2Bx+unud3Jgsn90GsUNLU78foCJMZ0if4VdRbUChm//8kkVAoZ6/eWARJjBsXT2uHknQ3nUMplfPl9MRv2lWN3ehmSFRNKDbt1Xhac3nDFTL8bb3tj8Fq8EkHEOPFamtb+iaa1f6Lx65ew5m/F395A+4E1PZ5zwO3A01hJwG3Hb23D095A7DX3I8iVBDxOZLrer08EEUGmIH7Fk8TMvxtBlBGwd9C280MEUUb88sfQ5QSNoAMuGy2b/wGCDFGuJO6a+xDlSny2NmIX3UfSrS8Qt+Qh4pY9SvTs2xBkCtz1ZeiHTO1t56hTcnDXd/p8xaYSf+2jeFovoohOpuHL54OJelIAyePEc3IT6j2v8tiyrij1BJOWlbMGMCjdRF2zjbLaDqobrfRLikQUBQQB7ls+HI9Poq7Fzro95ZwpaUEhF/lqRwnVDdZ/+ZWO0Cnx+SXe+fYctY02Zo9No6i6naFZMbR0uHnu/aM88/ZhHnplL0+8vp/mDid7T/bsCQRw5FwD44ckolbK+ON9U3johjy2HKrkvj/t4qsdJdxxzRBee3Q6T94yFo1KHkz/c3hxe/y8tb6AqkYb4o9ciP3fQC4Xw0zpBUGgpsmK1eHh+jnZfLL1Qo/rbdxfTkaCgZ3Ha/B03jf9fom9FyyoBozreWeiHEypOLVxOKsLw8SfS/jaG/C01KJMzAp52PV67BHRCGKX6ONta0AZl97jsjKdEcnvo+PIhh5f97bU4GmqDv52TLo2KPK01iOquxuYR+TNwXYu6L8nyJW45Hrare4eU+kAmtudGLTKbv+P0KlQKWTYnT7eWHOGq8alkZEYgSDAruPVON0+AgEJvUZJY5ujW9v65aTE6UmJ01NQ3sLI7FiU8p6XvWFONjGRGj757kKY+ANBw+kXPzhGfauDp986zD++OUNyrJ5HbhzF7hO1zJ+QAQTFn/tXjuDbfeWs21vGqJz4Hs5NSVZyJJOHJ4faSC/H5vRyrrwN2Q+cUx99/LfQVwHUx7+NS/HrcVH/+wlgl5Ng0lJSbf6PHkMf//cQBLDYPHx3qBIIepI8smoUG/dX8MGmrtYpnUbBAytH8tWOYkpqwoURt8fP2bIWNMrwn9ab5g/iTEkLTe1Odh6vYf+pi4weFI+mM1lDEEDmddC7ZaGEqNaTuPp3EAjQkb8Vb0M5zetfJfmuP3dr47gcb1sdiqh49LkTOVruQpdzHenjrkOnkSM3mGje8DqiSosyIRPJ7wu2UgV86AaODZrFmpt63bbf2haMvfb76Ti6GV32mKAZZueg2VlxBnXaYKLn3knLpq72NV3OBKxndnXbnn7oVFq/fx8IDlqt+Vuw5m8BUYZMYyBq+o3IfB489aUYp1wX9CEqDbaeWU59T/Ts22jd9i6Xe7QoYlKDHgtfvxj6n7uuBOPEpRgnXYs6NQfrqR24qgvRKRS0Wd1sO1JFTzS1O/F4/fglicVTMxFEgVE58d1mPodkRjNiYCyPvbY3JCIVVrSx7UgVD92QR7vFTWW9BYVMRKOS9xiJG6lXEqFTsu1IFV6fn7G58Uwdkczn24tC29x0oIKb5nX3crkSURQQfuQDT0kSeHfjuR6FrPc2nGPkwDiiI9UcPFPH298WhAb/cpnAXUuGUlZr5pYFg3jp43wCAQlBAKvDgylSzeThSeRkROHuFI5Ka8w8umoUrRZXmAeFFJCQCQJWh4eR/SLwFnT/HrTt+ZS4RfehShmE9dR2Ag4rqtQcoqauRAoEMM26BcnrxpL/He66EuSmRLxN3f3BLuFpru5M3zuMp7kGAn7ilz+Gq64URUwqyqQByJQavObGMB8v7YDRIAVo3/sFxvGLufju46EKCHftBWwFe4lZcA9+eweumkK8zdX4rS3Yzh3AOGEJHcc2hdq3jNNuwNtcg6P4KMZJ12I5vgVn5Vnilz+Ou64ET2PlZUcsED33TkRtBPHLH0emM+K+WIy7vgyFMY72vZ+Dv/v32ddSQxwtxBjVmK0eTJEa9BoFdpeXuCgtpkg19S12vjtUyT1LhtJmcVFSa+b1r0+HtnGuvBVThJpHVuXxzFuHyUiK6DWaPTFah83hYdW8QXy05TybDlTw3E8nsu1IFRnJUfzxk/yw5V0ePxv3l4eJiFcikwmoFDJe/+o0j940mu1Hqpiel8Lk4UkcOdfAc+8dJd6k5dZFuT16wn2y7QJPrh79XzvzGhAEzDYPhRWtGHRKctJNqOQCMlGg4qKFj7de4LmfTMTcS/phQAKPT6KqoaulWCEX2ZrfwKxblyBvqghvBRNETNc8xLs7arltTibWoiM9blfUGPDbO9APnoK7rhR1+pBuSZEQ9MIT1XoSb3yK9n1f4SjNx3p6JzHz76FxzUthrc6CQk3M/Lvx29uQPL1X0QQcFuKXPYr15HbMB9agHzETS/7Wrn2q9URNvwF78TECzmD7qHLCDXyV38rQgYm9bheCxvh6jSJkdC8IMGpQPJsPBIXbWWPSsDm8rN9TRmObg35JEchlIqYIFX/48BizxqQyaXhSyHT/cpRyEZ1GQW4/E9fOHIBchCduHsOb35wJVQ3p1HJumJNDWW0Ho3Liuvn9XMLu8uHy+FApgy1f6/eWMW5wAgNSjBgNqs4qOx3/+OYs9S12GtscPHXHOI6fb8Dq8GKKUHPrwlwCkkRDqx0JiTuvGcKnWy90SwU+X9nG2JxY/H3+0H38l9MnAPXxb6OmyYZBq0Cr+s9+rRKju4yg/9PH0sf/HRRKOduPdvnITBiWSP6FxpD3yiXsTi9/+ewED14/skffh8RoXWgdjUrOkmlZJMcGI8Av4fEFOHi2nqRYPcMGxHCmpIWAXN1tW5cTcNlo/PIFBKWayNELUM+6hbYdH+Btq4d/UYbud1hRRCcxVGZAJXoRkUCSUCb2J+7axyAQwFVTiCCTY5y4FCQQdZFEjJyDr5fqH6DTONNB84bXiVv2MI7y02gHjMZxWeStq/ochhGzkBsT8JmDbVqCQkWghzJ7QaEi4LQhqLRo0geDIOK+WITfZsZvN+Ntq0emM4Igokrsj3nfV6F1HUVHghWAK3+J62IRkscdmpltWv/XboNSV80FtNljseRvw16Sj37kbLadMZPdLw7XD6SHtFlcnCxuwhSp4XxFK0un9ae+1R7yjwK4ekomr3x+kivHpT6/xLsbzvHMXRNoNjtobLNzz9KhYSabEHxQv2fpUCrqLNx33Qg2H6xg78mLxJm0zBufQf8UI198X0xlvYUj5+pZMWsgsVGaHsv1NSo5MZFqkH7cApDHH+BkUc9iY0CCC9Vt6NWKMC8fCL6nb6w5w29uH8fO49X8+raxbDlUSWmNmeQ4PRv3V7DpiiS1BRMzcLl9ocSxS5woauLaGf2pbrTS0uxjeGRcKAkvhN9H0/pXME5dSczcu5BHxYMErdvfwVUVrGiT6YxETV2BMiETpSkJuTGu13YueWQcrtoiNFl5qNOHIHnd2C8cQVDrEFUaDEOn4WmuRps9Frk+itYdHyLIFZhmrubiO48TM/d2Wnd80L39RQrQ9v0HxCz4Ka6aoIAt+f3YC/ejyxmPp7HrPZEp1dguFiEFJNRpg4Om1Qn9aFr/V6KvugVBpsBVW4RMo0eXPQ7z8c0oouJo/u5tYmbfiswQhSIqEUGuwFnRuxgtrznBwNRxTBqexNpdpcRFaRiTG8/fvj7NvPHpvLexkCPnGlAqZFw9OZPHX9/XbRttFhffH63m5QenEggEvZzev0ygh6B4v3pB8P+r5uagVcsx29xIQGZyJKZINSlx+rBrFoIi7TVTMtm4v+fkvWkjkvl2bxlLp2ehUoho1XLW7i5FqZAxdUQyi6dm8crnJ2m3uEmK0VHXEm6XXNdsJyBJ/5UCUEAUee2rU5wu6bqfiqLAY6tGMSjNSGKsrps3yyW/vOy0KGKjNLR0OAkE/CTH6jnTuZ3SWjNZyZE89WkxDy+5n1ipBaHhApI2CiFlGKUuFQfPneKO2WndKlEFpZroWbcgKNVBI3aXHXXqILQ542la+3LYtS+qtCRc9wuc1edQRCUgKtXEzLsbJD/OmkISVvwSn7UVZ8VZVPHpQT+s/V9hnLC0R0+f0DGoNDSt+WOwIletJ2rKSvQ544gYPhNJkoKt2se34iw/iSplEMLIxeytlrHjRA0TRqShlIuhaqjLSYnTU9di59FVo/hgUyGp8Xrmjc+godXG3lN1jBkUT1KMjl+/2eXxU91oRaWUhQzX9568yJO3jKGm0Ur5ZUb8SrnI/dePZM2uUs6Vt3LrolwykyJ5f1MhK2YNJFKvIhCQkCSJ7w5XcbqkmcFZ0Tx1xzi+3FEc8vi5HJfbj0Ylw9157z1yroG549P58vtiHrohD4vdQ33n9eTzB/jnurM8dtNojp9vYExuIq9/dYrGtq5nCp1GwcM35PHexnNh13l6gqHPA6iPPugTgPr4N1LTZCP2P2gAfYnE6OAMXkW9hcEZpv/w0fTxfwVfQAo9fABMHJrEX68YmF/C6fZhd3p5+IaRKBVyrA4PO45XU1rTwehB8fRPNXL1lOBD2fnKNlweXzePEoDNByt4fPVoLDYPhfVehiT2x1Pf3cxYnZYbMjmWPC7MB9cSNXUlmoxheJqr0GQMhV48ENRpubiqCgj4vOgGjqF935e4as4j00YQv+wRrKe+x1nWdZ4dRzYQOe4aEGX4LS1ETliCqNL2KNgYRlyFrWAvglKNt70B3cAxIBuPPCIG29ndoXVsZ3YHhZmaQnyWVpSJWWj6Dcd2dnfY9iSvG9Osm5FHxuIoPYHk92KacROSz0vr9vdQRMUjyhXI9CZ87T34dFw4jP3CEVRJWcRefR8Nnz+Hr6PnqFtBqQYJ9IMnETFyNoI+iuZd9YxQy1ErZb2KQOmJEcRFaYnQK/l8WxEVdRZuWZiLUiFS02AjOlKNXqPosaoHoLXDRbvVxTNvB2ej7712GC/cO4n1e8uoa7aTlmBg8bQsqhssSBL85bOutsB2q5uiqnaWzxzAtJHJ7Dl5kYNn6mntcPHTZcN4/v1jYd4IggD3XTc8aLj9I28B8wd+OKo+OkLNJ9/1bjR6rLCBSL2KP32Sz/RRqdw0L4fGNkc38Qfg+PlGFk7q1y0Bp7HNgUwmcqGynUWT+yHEXAOVZ3rYm4AqIZOmtS+TdOsL1H/8VFh0s99upmXLP0m4/tdYzuwkYtTczsq0KxDlaNKHoEnLxVFxGtuZ3Uh+L4a8uej653HxncdDprEQFJYSrv81kiAS8Dgw5F2FqNbjt3Zvd4Bgi1nQsEZAVGlCbYCOkmOo0wfj6EwV9LY3oc2ZgDZrBK6qoICjzcojaspK2vZ+jt/SgiI2DY/HhXbgWIzjFtO68yPiFv4Ue9FhbIUHQAoQt+xRRJWGgLN7Og8EvYpWjh7IOxvOcaakBZVSxvABwZbIvJx4qhqs7DxeQ4fdzd5Tvbdi7TtVx1Vj00CC8UMSiDNp+f5oNS1mJ/2SIpgxKpX1+8qobbKRX9TE4MxoSmrMCIJASpyB7UequHvJUH73zpGw68Xp9tHS4WTWmFR2HKsJ22eMUc2kEcm88P4xXpw2mV+/eSAsmeyL74vJSonknqVDOX6hkYykiG4CUFKsDlEQfvTtmP9uZHKRbUerw8QfCPpG/vHj47z26AwyEyPQqeVISNy/YgSRehWiCDGRGo6db6T8YgfDsmLQapQsnZbJ8P4xnClrZfvRau67bjjvfHuO3358HlOEmtT4HJQKkYUJel5fe4rbZqfjOPoN+txJtF0SPgWRuGsewHxwTbcAgejZtxGz8Kf4La14W2qRR8Yg00bitbSiyRiG5HVjPb0TV20RppmrEWwddBz5FnlEDIZh0/G01IYSNO1FR9ENnoyth4pXmT4KJCl0nxRVWiSfm+aNwWpZ3fBZHGqPodk7kpTR43D4BJJ18bR76khLMFBQ1spPlg3j1S9PhW1XKRe5eUEu3+wu5aZ5OSyd0Z+j5xo4er6R6Xkp/PmBqQiiwOOvdhdYowzqUKWO1xfgT5/kc8vCXPQaBVX1VkyRarJSInl/YyHnOtMVD5yuo19iBPWdcfF2p7ebKNVqdvGXz07w8I15fOktDiU7psYbWDa9P0mxOu5cPBSdWsGhs/VsO1KF1eFl6fT++AMB2q1dfmOiADaHl5c+Os7dS4fy6dYLYeIPBCfq/vb1aW5eMCg0waKQi4zKicfXg2DWRx//bfQJQH3826hptJGdZvxPHwZGvRKdWk7ZxY4+AaiP/8e0WdwMGxDLnpPBmXpR6Dm56RJWh4eSmnb2n67HFKHm6sn9uHvxUD7YfJ7TJeGig9PlY3peCvtPhRsyOlw+Xv4kn1/eNhaFTCR66AO0rns5rOVCldQf44SlNK77S9i6Hcc2ET37dtwN5YgqHdGzbqZ1+3thy4jaCIwTl9G28xOipiyn/uPfhtqzZPoonFXnwsSf0LaPfEv8dU8QcKfSvOE1Yhc/QMvmNy7zTxDQ5U5EGZuKoySf+GWPYsnfQvvuzwDQZI4gbunDtO74EG9zNVLAj7PiFFIggCp5IE3r/0rs/LuxFx1G8lyWoCIIuBurwhLA7Of2o0rJIfaa+xGVatyNleiHTkZUd2/VkOmM6HLGIaq0ICrQZOVhPbG123IA2swR1H/ydGiALap13Ljofo7VtjJnXHj8rEopY8aoVEYPikOjklPdaEWjDt4+LXYPr315Cr1GQbxJi93l5eYFuT3u8xKXi0sfbj7PfSuGExOp4frZ2ZwqbuLNtWe4ZkoW72041+P63+wu5Ve3jQ19V4uq2lm/t5yXH5jCloOVnWbJOqaPSiE+SoMk/fgN/1RykfQEQ7eS/UvEGjW0dvTeStHY7uDmBYM4cKaOzQcqGNzPxPc9tOEkxui4Z8lQnnvvKHcuHtLt9X+sPcM9y4ZhdXgwGhOJvOoOOnZ9EKogExQqTDNvxl54AEVsKs7Ks2Hiz+W07/sKTcYQJAkixy8OeoF0Xn+iWkfM3LtAFGnZ8nZY64o6MYvGNX8ME3/gkrD0JtoBYzAf/Ab90GkoTAkIKm3vxrWSBIKAceKyUDy9FPAjXOaX5W6qImrSMhq/eCFUqWAnKJLGLX4Q24XDKAxRBDwuAi4bjpJ8YubcTsMXz+Fr6zpuy7FNGIZOp+NoL54n6WN55K/7QqKL3y8hCnDLwlyeeH0fc8en89s7x+Px+iko773yMCBJWGwekmL1BAJBw+8xuQnkZERR12zn+fePhnnEyESBxVMzae9w8tLH+Vw9uR8Ak0cksTs/XGiqabCx4qqBjBwYx54TtcEY+AGxTBqWSGO7k2fuGs+WgxU9xtKX1Xbg9QVIjtVTXN29ymHVnBzkAt0qA///HbdPYuO+nquqAhIcK2xk1qhknvvpJHz+ABsPVODx+rllYS6PvrYvbGJm3Z4yHr5xFF9sLyYmSsPPV4zg820XWDw1k+RYPSU1ZkyRany+AH/7+jTtFhdDkhQ41uxEt/gBVCk5uGsvoMkcgbOqoMf0yNbt75Gw8pe07vgQuSEKv92C39pK1IybCDg6CLgdaPqPJnL0XJrWvxomeHYc3Ujc4gdCCXu2wv3ELX0Yv6MDZ2mXmC+PjCNm/l20fPd26H+GvNn4O++Hmv6j8A29hsPf13K0sGuyQxRKGTUonknDkpDJBKIj1fz69rHsO1VHc7ujMxEyjm92lbBy9kBe+eJkWGXouj1l3LV4CEP7x/T4fNPQaic9IYKKuqA47nAFvYK0ajmJ0TqGD4jB4fKFxB8AlUJGbJSGJ24eTbPZSZRBhcPl4/NtRTSbnQgCKBUibq+f1786xT1Lh4XS9K6fnc0ba87QZgmetygKzBmXzj1Lh6KQi0GPrWuHEWvUIAqweFp/hvWPobHNgVYlJyVWH/JavJI2iwu1Uh6Kgf/FzWPQKPrS+ProA/oEoD7+TdicXtpt7h9FBZAgCKTEGyi9rGS1jz7+FTJZ0Hh0QKqRkhozdlewt/zSg8mVxEfr8HoD7D9dT5vFxQebz3P1ZBf9EiMYmGZEr1FQ02Rj36mLyEQBi93DnHFpbDsSPijtlxSJ2eomLd7AZweauW7aKkTJT8BlR26Mw11XQtO6v3Qb4AWcNgSFCu2AMbQ6BdTRGSTd9gesp3eGIquV8f1o3f4e+qHTaT/wdZihrb4XH55L2C8cRlBo8DRW0rbzI2Lm3YOgUOK3tiHTGXFWnqF54xskrPwFTetfCXsIdpadwF17gbilj9DwxXNoB47BcnI73uYa5FEJxM69k7Y9X5C0+lna936Bo/QEsohoBIUae8Gebsfirr2Af/BkpIAeuSkR0a5DEZMSbEHrHHxHTb0euTEOW8Fe/I4OAn4/kWMW4LOZcRaHez9Ez7kDy4mtYQPsgMtO65oXGbX6j/RPT8fp9rHjWDUROhUP3jCSbYereP79YwQCEkkxOh5ZlUdGYkSoisTm9GLr/M1RyMVeS/MjdMqwGUib00t1g5WUeH0wNl4uY+LQJBJjdDhcXrLTo5AkKL9oDiUe+QMSFrsn5B8kCMFKiDW7SnF5/GSlGIMP5ZFqapqsREdokFD1+ln/GJALcM/SYfz6Hwe7lehPHp7ExWY7/VN6T5rJSjay7XA1j9w4ioLyVvQaRY9+Qqvm5fDKFycxW90cOFPH6vlBj5hLeHwB1u8t456lw9h8/CLZydlkr/gDRqkDyWULet40lGMr2IsudzLu2p4NawE8TVVE5M3B77Qi00aQsPJXSH4vglwBCHja6hB9njDx51KbyiW/jytx15VinHQtkteF9cRW3BdLiJl9O80bX++2rKBQBVtVFtyDt7UOZ0XQT0ebOZK2nV3x8lFTltP0zZ+7tanIDdGISjVygwlH+Slkaj2B1EHII2NoXv8qphmraVrTlW7mLDtFRN4cnNXn8DSUh21LNWEl35+zh1XcTBiagMPt4/C5BhwuH9/sLmP9njJS4gzcOC+HDfvCt3GJ0YPiqai3IJcLGPUq7lsxgr99dbpbFQBAXnYsFfUWtCoFDrcfi93DJ1uLmDQsiQUTM8IEIKVcZER2LGt2lqBWyYmKUJOgkGG2uThd2sI/vjnLvdcO41BB75HjJ4qauHVhLruOd1UQqZQybp4/iPTOa/y/DQkp5EPTEy1mJwgCdpeXt9YVUFlv4WfLh/PWurNh4g8Er89/fHOGWxbm8srnJ7lQ2caL903B6fahUojsOFZNU7szVIGp1yjAHhQrWja9QfSc24kYMQtRF0nz+ld7PSZnxVmU0clhQQXqlBwavngOBIGkVc/Q8t0/u1e7SQGaN/6NuCUP4qo8iy57HIJcgT53MpFjFhFw2ZBHxOB3WmnZ8ha+jmDbqyp1ELrscUheDwkrf4kkV/P63npGZsdxtLCRtAQDeo2Ci802jhU2cqywkaunZPLtvnIKyluZODSR+1eOxO3188J7RxkxMJZth6t6bAt++9sC/vLgNBJMWhquuGYOna3nl7eOZd+pi2HeWg6Xj8p6C6sXDKK+2c6iyf2IMqjJSIwgMUbHnz/Np7S265k73qTlvhUjeO3Lk/RPMXKmNFj9ZXV40WsV/Oq2sUQZVDSbnWQlR4aeswIBie8OVbJ6/iCykiO599phyJDQaxQ8cfMY9p+u45nLEuKevnM8uf1MtJidNPVwrnK5yB9+Nokms5OKug5SorVc7hHYRx//rfQJQH38W7jYHHxYjTX+sI/J/xap8QYOnq4L9tsLP27viz7+84idiSTbj1Tz4PUj2ZVfS2FFCzfMyeZvl5mQXiI13oDd6SUtMTylZ/PBSv70wFTeXHuGdouLAalRPHnLGOqbbaTFG4g1apgzLgOL3c258hb6JRux2DwcPFNH5vxBnK/qoHZAMroj7yA52jFNXh5WDXM5glyJIiqBRofIE2+fZcygWH52lQGfpRWZWo+9+BjtnTHxyvgM2nd/Er6+Ut1r5QIEfYOipi1EEEV8HU10HN2AceIyWra/FxKjNP2G4aw402PLR8DtwFFyHNOcO1DFpNDe2bLla2/AXnIc/dCpWE5sRx4ZS9ziB1DEptK+94tej8eSv5XI8Yvx1BUgKNX43Tbilz9OwxfPYxhxFX67OWhA24mnoQLrye0krX4Waep1uGvO43c6UCf3R1CoaN32TvedSAEcZ3fwcX0ueTnxLJg4DVEU+MOHx0L+AwB1LXZe+iifB1aO5Kl/HuoWSdtmcXHn4iH8fU14+5AgwJ2Lh2C2uhg9KJ5AQOJ8ZRvtFjdatZxHXw2aRosC/PH+qTy2ejTnK9sQBYHrZw/kdElLZ5oVROpVTBmZjE6tYOLQRKwOD7n9TPgDEh5vAJko0NLhQqdW0mpxkZ5o6PW9/TEQCEgkGtX86f4pfPLdBYqq2jEaVMwbn4FKKeP1L0/yyKrR5F9o7FZBoVPLGZIVzdNvHWZ0bjwni5oY1j+GYf1jQjPZ0CW+XTKZ3XGshsXTsnjloWk43D48Xj+mCDXtVjcvvH8Um9PL5s51545L46ZJ6ZiPrcc0ZCLKxCz8djOq+H69npM8IhpFTApyv5f6j4Jx8oJSjdwYjyouHWVSFvaiw2HrKBOyEDV6VIlZuOvLetyudJmDqaexPGhOq40k4Aif9DDNuhm/20nH4W9DHkTq9CEEfG6UsWkISf1xN5QHE8Qc4e1wglJN9OzbaVz7pzAxyll5Bv2QqWgyhyHT6JFHJVzmlSLRtP5VYhb8BK9Mg6vkGEqdAX/GWLac6mDNgS4fJJ1GwcrZ2ZRUt3OquKtiMiAFvUgaW+2MG5zAkXPhHkxZyZGsnp/D+Yo2iqraiTFqiI3S8vANI/njJ/m0mIMDSblM4OrJmQzNiqa01swba8/wi5vHhLZz4Ewdy2b0R+ysyEmM1nHroly+/L6Y4up2Hl89huffP4paKeP5n07i6c5Bp0Iuougl7QiCIpJWJef390zA5vThDwSI0CpRyYT/SvEHQCYI9E8xUlpr7vH1EQNjcbh9BAKEBHWjQYUoCty9dCixRg1+v4Q/EGDLoUoKylpDLdVWh5fvj1ZTUd+BXBSZPCKZT77rEmVdHh+CJniflnyeznRJE7FX/zzUeqVK6o9MH4W3vQFvc1C483scmKbfSPPmN/G21IQSJi8ZOvusrbjrunz9Lic4sSCQcPPv8ZubaPziBYKig4CgVCP5fcQtfoCI8VfjbaxClzMeyeel/tPfEbvwpzR88QIyg4lJYx5EbdTx+59MpLi6HbPVzdzxGUiSxNrdpYzKjmPT/nICEgzNiub4+QbOV7Rzx+Ih+P0Sf/nsBMMGxKBSyCir7QiJLJIEJy40ce2sAfztq/DnG48vwJ6TtfzqtrG8seYMzebg+cYaNdyyMJeN+ys4fr6RP90/hbfXF+Bwedm4vzxM/IFgO+2ba8/wk2XD8Psl/vhxl+m61e7hn+vOYnV40arlLJzUj+EDYnn72y7j7U0HKpgwNGhyLYoiKhGa2h3sOxX8DUmNN3DTvBysDg9ZKUamjkwhyqDioy3nwzx/ZKLAVztKmDchg135tYzNje8b+PbRB30CUB//JqqbbMhlAibDj0QAijPgcPtobHOEPIH66KM3PH6JP392kgdXjmTzwUqqGizMGp1KYoyeWxYGe+ktdg9iZ4rGwkn9+POnJ3jsptGMzI7ldEkLgYCEPyDR0GKnuLodSQqmRsVHa4g36fjtPw9hdwVnJdPiDdy9dCgfbymktNbCr28fS0FZCytnZ/Pbj45x36KbyIzwII/UIGoMPQos+uEzcShN/PrNg9icXmqbHdhbGxFEEVtnFY02e1zQ30ahIn754wTcDjqObMDTVIWnoRx1Wi728we7bRtAO2AUfpsZZUImAbcDRXQyglxJ3OIHaVzzEvh9KBMye0xLuYSzuoCotFzsFw4Rt+QhXDWFdBzZgP38ARKG/Yq2re8AEpbjWzDkzek1LUVujMc4cQkKUzIylQZ5VAIdRzeijOtH3JKHkekiqHv/yW7rSR4nrdvfI3r2rfhddpSmJHwdzcj0vbeGiuaLxEWM4MMtF1g9fxBqpSxM/LlEY5uD3Sdq+MPPJvHtvnJKqs1ERaiYPyGD1HgD5ytaeebuCazbU0p9i53UeAPzJmQQZVDhdPmoqLMgigILJuURb9Jy/8u7Q9Ygdy4eyoZ95ey+In1l3oQMbpiTzbo9ZUiShN8XoF9SBBqVHJVSxqYDFWw9HEyu0qjkXD9nIMP7x6JRy/9l5PyPAVEmEGVQsnhaJk1twZnhV788FRJxDpyp49e3j+OtdQXUtwY/kwGpRm6Ykx1K6lPKRaIjNTz33lF+d/cEth2pDlUDGA0qmtq7ZryTYnSMHBDLK5+fDA08NSo5K2cPZNHkfny+vbjr2ESRRp+Osug5RLcHyJr/EHK/C7VMouPYprDquktEjl1E84bXMU5ciqBQIXmcSB4X3qYq8PvQ5U5GOSYFw7AZiJoIBFHEXVuE7dx+tP1HETV1Je0H1oZVGYlqXTevL1flGeKXP0bHoXV4mmtQRCVgyJsT8uJCCqCM70dE3hzUGUMIOO342hvwu5zELXkIUakhbukjCAolnqYqOg6vRz94MpYT3/VYiWQr2Ev88idwVp0j4fpf4yg6ivnwOgIOC5LHieXoRk6kr8Iin8roZD1xGjkz8rRUtnqpa7EzfEAsE4cmUlDWQmayEbVShuWKS+zDzef5/U8mkpcdx/aj1dhdXiYOTWTy8GR+9cZBLPau6j2dRsHjN43m4RvyeO2r00wbmcyoQfEcPdfAJ1uLGJkdy2/vHEdjqwNRFNCo5LjcPpraHLz08ymdqXECFoeH0YOCpt4xkWpeuHcSRoMKJCkYUT47aHA7dUQKa3d3bx0CmDMuHZ/Hixwwaroesf9bxR8IVvfdfnUuv3yj+70mJU5PWoKBtg4XVkfXZ6qSy7hr8VDe3XAuNMFo0Cq4fnY2qXEG/P5g0p8kwenSZkYOjOPrnSWsmpeD3x9gw75y7C4fkgQOQY/mMqHSb23DWXEGw6h56LJG4rpYjK+jCcOQaShikmnb9Qnq5GyaN79J9KzVdJzaRdTExWHeTVIPSXeX47M0IxfEzomGS+tJoXtcy5Y3SbjxaXQDxtK49mU8dcHfGnddKcrETDz1ZaTFaSlr9/DqlyeZODiWJWNiUAfakCsUjL99CO9sr2H8kETumpOK1FaNt/E4oxMMaCNMuBSRPL56NKeKm3G4vdw0PwdREHhr3VnsLh92t5dxQxNYPX8QybF6nG4vze0OkmL1pMVH4PL4uHvpUERRQKuSo1bKqW+xh8TzLYcqMUWqGdTPxJpdPV8L9S12VAo5z37U5bUlCKDXKrE7vSyYmMHoQfG4PX6MBhW/uHkMb60/S2uHizaLi+oGK2+sPc1Plg0jKzmStZ37iTdpuW1RLn/57ERYK2aETslDN+Tx9zWnaW53MqHzN+bIuQZazE6WTs/6r/Tg6qOPnugTgPr4t1DbZCMmUoP4I4kaTo3TIwClFzv6BKA+/iU2p4+qegs7j1fTbHZSUNaKy+3n7qVDOXGhiTuvGYJSIUMmEzhT0sKLHx4nQqfE6faSEmtg8ZQsNuwvJ/9CE3K5GHq+SIrRkRJn4NUvToXtr7rRygsfHOMXN4/B5fGxdlcpIwbGUtds52fLR/D598W0WVxMHJLA7St+Q+ua5y/z3wFV5kiaUmbibXZxxzVD8PkCtFtcyPR0VsN0dBpDizR+/VKo1Ummjwq2Px3bhO3cfhJX/w5HyfFuXiPymJTOcvfn8V+WAtZxZAMxC+4hcdXT+CwtyNT6KyKiw5GpDbjrSrDkf4cl/zsiRi8gatoN2Ar2dVYkdD2IuWuL0A+fibMivGpGEZtK9MzVtGx9pysGW5QRkTcHuUZP86a/o8se1+sxuKrP4etoRp00kIbPnkWV1J+YRff2fswJ/ZmUnkZ6ajT9kiJ7jMC9xLYj1YzOiUcmiswZn47T5SU2Kvg7+Pa353j2nvEsmZpFU5uD3KwYqhssfLj5PKeKm5k1JpUJQ5Jot7qCZqg/n8L7Gwtp6XAikwndxB+A7w5V8uiqUTx8Yx4SEhOGJfLZtiLKajuI0CmZMy6dR28axSufncDp9vHehkIeuH4kmYkR/Dh+mXvHLwhsOVjF5oMVXDdrIHqtgmazK6yCZ+fxapZMy2LxtCyiDCoEQaC6wcLrX52mzeIiNkqDy+NHr1Xw8I15nClt5vl7J/HOtwUUlLXS1uEiNb6rEuqWhbn8+bMTYWKC0+3j/Y2FPHJjHg9eP5J2q5uMxAjyLzTyxOv7uePqwQzOiMBVXYir7AhS2mDirn2U5vWvInkvtYsKRIxZQMDrxttSg73oMPohU7Ce2AaAMjGLqMnLafnun/gtLcgjY4mee1ewlfKyVk9BriT2mvsxe12h68w4YSnW0zvC3juZPgrJ7ydq+o24qgvxOyy07/sKb3M12v55RIy9GnVSf1y1RVhP7aDj0DoEmYK4pQ9jPvRNmDeJKjmb+OWPgygLVi31gutiMarELLytF7GX5hN3zQM0b3gNv92MZuQ8Bmoi0Ffvx7txG+0uG6qkAdw/4yZK7UlsP9HI028f5qnbx2HQyJk3IYMPN58P274/IPHSR8d59icTsTo8yGQiSTE6Xv40P+zzgkuGr6f47Z3jeeKm0RRUtPLYZQa3249WMzDVyAPXj+SXt47BbHUTqVcRHaGm2eyk7GIH2w5XYba56ZcUwc3zB3H8QiOfbi0iQqdk/oQMXn14OgfO1vPsu0f41W1jOX7eQHVjuDA/aVgSURHqvvHlFQQCEvFGDc/cNZ631hdQ22RDJgpMGp7ETfNyeHt9AcfON/L0nRNC6xgjVDzx+v4wM32rw8tb6wt47KZRpMbpWTk7m8+3FWHQKnG6fejUcsrrOiipMfPzFSMwRahRKGTYnR4SlzyB+Zs/hO4hrvpSoiYspfHLF8JaH0W1nrilDyOqdXhbarBdOEzEiJk0fPE8ppk3o0rNxV1znoDbgcxgChmwq1NzUSVmEvC6cRQfRRmXBoK81yrbgNNGwG5GVKoxTV1B41cvIvm9uOtKUKcNRpDJ0Udoee2fR1g9K41xqjI8G17F6/PgBTwGE7cvfhhRb6Ll6xfwtXS1HLqPr8cw4xZO1Saw4UiwXXHHsRoyEiN4+MZRPPf+UUYOjKPD4ubgmTrKLnaQGKPl3muHo1LKKa5pJ9aoJTFaR2Obnde/Os3FZhuxURoWTerH9LwUjhY2MCgjCoX8hxNIm80OZJeNC6bnpXCiqIn7V47kTGkLv3/3SKiiMzXewP0rR/L3zqprs81Nh83Dix8e52+PzaC9U3xaNqN/qILocix2D2+vL2D5zAFcbLIxMC0qFKJQdrGDqAg1ClHA3+cB1EcffQJQH/8eappswajhHwlqlZwYo5qKOgtThiX9pw+njx85lx4HimvMjBwYy9FzDQzOjKa0ph1ThIo/X5bEBF0x3Z9uLaKy3sLmgxU8sHIkcplAx2W+I7PHpbN+T89tHHanl9omK0fO1XOmtIWbFwziyb8fIC5Ky/yJGURHqhEQWH/WzJDpT5AV6cNrtxDQx3Kg2M77HxVy33XDWb+3nOZ2BxE6FZGKeIY07cYwfBaiWk/T2j+G7dNva6f521eJv/YxGr54joDHRfy1j9FxdFPQH0QmQ5cznshx19C265Mw8Sf4RgVo2fJPkm99AUfpCXyWVozjrsZZfqrHc9QPmYL54FoAdIMmos0eS8DegXHCEpTx/Uhc9QwBjxPJ70PyOJAbE69oKQHTtBuCRpuuyyoRAn4sx7egiEpEN2w6kqtnv5Su45Zw1RSSuPpZ2vd+jqPkeDAdrTo8PlqQKfClj+eXbxwkIAWrS8YOju91szqNAofbx678rofvvOw4/H6JZTP6U9NkJz5Ky4YDFQzpH43T7eNUcTM3zcvB5vTy7LtHQpUBGpWcu5cMRZICbOvBvPgS+09dZNX8QVTWdfDyp13fS4vdw9c7S8jLjuOGOTkhX5vPtl7gmbsn/KgrgPyCwMufnuBCVdA41x+QsDs9ZKdFIYpdrTNGg5oWs5OiqjZ25XcXyG6Yk81n24oov9jB90erWTU3hw6rm5mjU1k6rT8+f4B4k5Z4kxZREGjtcHUTEy7xydYLrLhqINsOV9HYZicgBSPEJw9Q0/bF06F0uUvfpYQbniLgdeH3eFBFJ+AoOkzb9+8Hlyk+TsKKX+CqPo+3pYaoKSuCvl6dhq+RY6+mbccH3ZL2JJ+Hlu/+SfRVt2Le/xWR467Ba266QiQVUMal0/DJ00QvuhdVQibuuhIihs9EYUrEdm4/cr2Rhi+eJ2bBT0Ktj4a8OVjP7g4TfwDcF4to2/EhMfN/8oOfmSCIqBKzsJ76HsnjoHX7u0RNXYH9wlEUSQPRfvcP3DVd1YHuuhLcXzxNyjW/oKrBwvWzB3Kx2cbv3zvKE6tHk50WRdEVxsnjhyQgItE/1UhRdTsalbxbdPslmtqdONw+VAoZb68Pr0rUqOTcMDeHv35xKsycOS3ewM+uGx4SfwAq6iw8884R7rtuOFkpkZTVdvDF98WU1JiZPCIJSYJXPjvJT64dhsXuIf98IyqljDlj02losyMXBfo8RrojSBIZcXp+e/s4PL5gi6pWJeNUWStHCxuJ1CuJNCjJyQh6nh0paOg1SfHbfeUsmJBBW4eLFbMGkhijC/7edbb7519oIv9C0FsnQqfk4Rvz+NWnpdw49ecMiwdfSxXqlGzqP366m+9VwGWj9fv3iZl3F8rE/ugHTcB6ehdxV9+Ht6MZw/AZRE1ahruhnKipKzEfWEvM3Dtw1VzAWX0OUa0jet7diCp9rwmUlxCVGiSfB2vBPuKWPIiz+jy6QePxttSiSsxCgYfXfjoCRUc1to2fhq3rt7ZhP/EdMm1kmPhzCeuuD5i3/Hk2H2sIeflU1lvIL2riupkD0KrlPPzKXgC0ajn3LBnGh5vPhxLAIBiZ/thNo/F2Vu80tzt5b2MhCyb147ZFuVQ1WBEFAblM7NYGfYnoSA0ujw+jQcXSaVmYItXsP1WHKAjsPB5+3DWNVl794iS3LsrF6wvQ3OZg+cz+ZKeb8PkCpMUHRVdThJqG1p5N7+tabAzuF41KIaOm0UpqvCFU3VnXbCfF9J/3Ke2jjx8DfQJQH/9jAgGJiy12Jnf26/5YSIzWUVZn+dcL9vFfj16twKhXUVTVzsqrBqJTywlIEocLGpgyIpl+yZFsPVRFm8VFVkoki6dmcfBMXejBwh+Q+Oe6szx/7yT+8MGx0HbjTdpus8SXU1zdjlIhZ9KwJFRKOV5fgIvNtm4DGIA//GwShugUWsxO3t5awJxx6UgS3LYoly++L6agrJUjpTomz12M5LTRtvvjHvcp+Ty4LhZjmn07okxBw9o/Eb/ilxhGzoJAAEfZSfyW1h7TwQAI+HHXleKuuYBh+EwEhZKEVU8HTallctz1ZVjytwTjcv1efB3NGPLmoDAl0fDp7y5rlQlWSRiGTaf+k2cQ5ApMs24hYeUvsZzYhu3snuAMq8MSLv5chvnQWhJXPfODD9rq1Fzc9WW4Gyvw2zswDJ2Oo/IsUdNX0fjlC6FtyyNiUV71U177rjY0I1laa2bV3JwwEeJyrhqTxt6TXb4mghBMKHr503ySYnSMGBjLkYIG7l0+HEmCTfsrSIzWEalX8fF34ebBTreP1746xZ/un4LV3rthakdnK+InW3s2Hz5R1MT8iRko5CJeX4CmdmewxUX84Zna/xSCAM1mZ0j8AUhLMODzB9h+rJqpI5JD1VCBgERDq4OcDBMZiRF8d7iKto6ua/LQ2XrKLzP//3TbBV5+YCrvbzxHZWe62O1X5/Kb28ex5VDlD16bDa0ONCp5qNVs8vAkrpmYiuPomm7fN1d1IfUf/pKEO/5MmyYKk9+C9fRlButSgKb1rxI953YEuRJvW31Y+p3cGBvy6LmSgMMS9Mla8jDtB9fguHC5Z5BA7NKHkRlMJN78ewj48LZexFqwF099GQgixsnXIshVKOPSw4RabVZe0NC2B9z1ZUiSH23/PBwlx3tcRpM1ktY9n2IcsxDr2T3BqPiYVIzT+9PeYcNb01NrqIT/0MesmnY3hmgTv/3nIQBe/jSfOxcPYcGkDE4VN6NWyRk5MJbS2g467F6efuswv//JhH9ZbdBhdfeYIrdocj/W7SnrlsxV3WjljTVnWD5zQJj/CMAX24tZOXsgr3d6pJwoauK6WQNQKWTYnF7+9HE+KXF6BmWY8PkD+AMScVFa1HIBn69PAOoJvz+ADNDIg0KNxxcIGX3PG5/BBxsLWTFrIJX1ljAh4kqqG6z4JYltR6p47qcTsTu8JERrg75hehVymRAyzLfYPVhsHix2L89/Ucw/7srCc2ANMXPv7PW+4m2uJuBxYpy4BJ+1HVVCJg1fvRjWehkxZiHq1EHEX/cEDZ8+g9/e9bvjrrlA7NU/R/J7EVXabsIuBCuNfJYWOo58i+mqW5EkCcnvof7DX1+2kIyYeXfhd/T8HKsdMIqWzW/2+j6J1SfITk+hsKIrJWt3fg1/fmAaz77b9TtyzZRM1uwq7faeVzVY+ctnJ7hnyVCefbcrSOG7Q5VMHpbEK5+fZMaoVK4ak8p3na3HlzN8QAzREWr+8LPJ1DbZGJxp4id/2MmjN43q5j10idYOFyqFnA6rHZvLy6iceJ595whTRyZz34rhlNZ2hFUUXU5slIZ7rx3O/jN1HDxdh1IhY8aoFKIi1Pztq9PEGjUE+hLg++gD6BOA+vg30NjuwOsLEPcjSAC7nOQYHWfLW3F7/KiUP87BTx8/DlRygZ+vGMFz7x3hw83neWTVKLYermLC0ET+9vVpslIiWTipH0Oyojlwpo4vvi8iKUbP+CGJnC1txu7yYXN6aWpzhKVqtFtcxJu0vc5WJcboSI7VY3d6cTi9vcZgD0yLorC8laEDYgkEJJ5YPRqPN8CfPzuBVi1n0eRMls8YQFaMQMvXzxI18ya8bb0n1XhbajBOXYmvrQHJ68FZmh+MxK0tAkA3cAw/NIvtd1gQlGo0WXk4S49jPrIh5G2gTh1E4qpncFacoXX7+wgKNboBY3oYbEpYjm1CldCP6Hl30bzuLzSvf4Wk2/6ALnscytg05PoonJVnez8OmxnJ50XUGIgYswjLsY1hrwsKNcaJS2je+Dd0OePxmptpPv0GCSt+iUwXieGG51H4HFgcPlSGSJ7+5EKYKCBJsPlQJT9bPpw31pwODSoAhmbFMCjDxLf7uiq8Rg6M49j5RmqbbNQ22Zg0PInxQxN5e91ZHr4xD4fLx8zRqXx3qLLH8wkEJMprzQwfEBvyvbiSwZnReDx+bpqXg1IR9PbxByQ2H6ygoCxYsVVZbyHepKW2yYbRoMLnD/xoK4DkclmYCTB0+aVs3F/Bg9ePRKWUsfN4DZIEA9KMrNlZgtXuZeHEfowYGMvekxf5xzdnuyX2SRKUVJtD3+T+yZHk5cTz1jdnuWfZ0LAo4ysxRagxaIOJXEa9iikjkvHaLXjO7+t1HWvhAd48n8bAZD2L0odiM3cllgVcNpq/fRX9sBndxbh/MSrxW1pp2P4u0TNWoRs4FnddCaJaj27QRPx2M01rXw4JSDKDCdO063GUn8ZeeADzvq+IX/krRG0Egcs8tgSFskffokt42+qJGD0fV835bm0sukETEUQRR8E+VLHpKCJj8Vta8FlasRuz8Fcf6H27zTUMTFDz1q6uhK9Ap3F5hE5Jbj8TcrkMhVyGFJBQK+XIRAGbw4fRIIaEzSsRRQGDTonN0b2iKyfdxFc7ejbsray3kBjTvU282ewMGQ1foqq+g5d+Phl/IPjbLghwtqyFjfsruHpyJkatAp8vgEwmBoMFJPD2ELXdR5CAJIWqfLJSjHzxfTEXqtq545rBpMUbOHS253tYvEmLxebhp9cOw+HycaqkmYFpUSyfOYDGNgfXz84OE9i/3FHMfdcN58+fnsAhqZB5PeDrXWQHkLweZHojokJNw6a/d3vdcmwT2uxxmA+sDRN/AGS6SDwtNTjLT2GaeRMtW94i/H4qEDPvLjqOb8FdX0bD58+RdMvvsZ78/oo3yE/L5jdJuuV55FffR+u2d8NbRGVyJG/3pMPQ6x47SkX4b43L7cPr83OxueuaHpAaFeZ3djllFzuI1CvDDysg0WZxIZcJ7D5Rw/0rRiLKRL4/UoXHF0AUBaaMSGLx1Cz++NFxqhqt3LV4MF6fxK9vH4teo+S+64az5WAlBT38Btc2WdmVX0tNoxW708tLP5/MobMNvPzJCby+AE+sHo1MFAhIEgqZGNrnfdeN4K+fnwy7D5TWmsntZ+Kn1w4jPlr7o70P9tHH/zZ9AlAf/2NqO28kP5YEsEskxeiQJKiot5CTHvWfPpw+fsQE/AH6Jej584PTWLcnGEV8zdRMEmP0DMmKRpKCpcVpiQYSonUsnJTJyeImNCo59103gtpmG59tvYAoCsFUmc7t7jxew8JJ/Xjn23Pd9qmUi4zKieOVz0/RZnHxyI15PHzjKP7wwbFQ1QHAvLHJ3DQtCVtrExrPRaL0kaCJ4Nn3g60bDpePL78vZsm0LES3imifF29zNYroJDwNFT2eryI6Gb+9A9vZPUSOXYj19A5i5t1D45o/ghTAZ2tHHpUYFk8dduzxGcgbynHXl9C+78uw11w152n69lVi5txBRN5sBI0B67neB82Wk9uJnnlzKNLdb21HCvho2fR35MZ4oqZc1+u6MoMJn6UFRXQS+mHT0GQMpePYRgIOC6rkgehyxtO2+1P8DivaAaNp+PIPnRVMxchjUnns3XxEQeD+lSNorHX0WBFy9FwDfn+Alx+YRlmtmWazkxEDY6ms7+DlT/NDfh+ZyZEsnpbF/lMXWTAxg+qG4KxtY6uda2cMQEBg+IAYjAZVj3HVlzh2oYnV8wex83g1risikCN0SiYNS8Lq8PDOt+fweP3MHJPGkMxobl00mNpGK98dqmRAqhGH04vd6WXehAwUih+vAC5JEgZd+ADD4/OjVQWr8gpKW7hmWhaLJvWj2ezk271lKOQyZo9PxGx1U99i48sdPQ9eAFxeHwatEoVc5MEbRnK6uJnTpS3c//IeXrxvMiqlrFvUNMDymQPQqmU8c9cEAlKANTtLuWlq3A+av/pcTnRqOV5kaEcvwl64r9sAzdveiH7IFDjVNdiTpACCUtOzCbooQ1TrEGVyWr57C1GlRRmTSkTeXAJOK41f/SFsH35rG80b3yD+usdxlp9GHhmDr70RTVYegiBgO7sHdfoQBEEMJhv1IgKJKi2t298nbsnDOErzcXW2t+iHTEUeEYP50DcAWI5tJGrq9bhqziM3RONTGtBEGul1eC3KEOXysGvg/utH8l1nutPl3L9yOMU17UwekYxMJrD5YCXLpvfni++7f95zxqYRCEjk5cSx7UgVY3IT0HZ6wijkAvcsHYrRoMLt8bPnRC2nSppD167D7e3WxiIIIBO70r40Kjk5GdG8u6GQ0yXNoWXG5Cbwy1vH4JcCeCVQyETyS1o4fqGR+CgtM0alolfJ+oxne0AlFxmbm0BtU2lI9HW6ffz969P89q4JYZU8l7NgYgbxJi2fbiui6LLKwXV7yrhu1gDG5SYwODOatbtKaWp30C8pEq1azuOrR+PCR9zwqxC1Eb1+/0W1DkEeFP9sBb3fuySvG/uFYBWbqI1A238UglyJp6kaRWQc7dWFyCNiiF/xC2ynd+Fpq0MZnYR+2EwEhSpk7i55XVhP70STOQJn2Ylu+7Ge+h5BqSF28QM0fv1SqBLJ01iJOm1wWFR92PubNYosSYkpQs3x841Y7B6GDYjF5fFzuReyx/fDIqXL7e9WBatUyPAHJCQJXv3yJJOHJ/PIqlGolDJijBqKqtr421enMRnV3LF4CC6vn9/842DIRFqnUXDz/EHEmbTdWsFiIjUgSdyzdChZKUYaWh0MzoxGLhNYs6uUw+caeOrOcXi8AZwuHwadErPVxaGz9d0mAQAKK9pYOr0/zW0O0mJ1/9WG7H30cYk+AaiP/zE1TVb0GgVateJfL/y/SEykGoVcpKKhTwDq4/8BAYkIlYxb5+fg9geobbKxZlcxdy4eyvHCBgor2oiL0vLxlvMUV5tDq+3Kr2F6Xgqr5w9Cr1Hy+Oox7D99kbbOGPhh/WNYNj2LdXvLQw8eETolP712GO9tKMTu9PLIjXl8uPk8dy8dyvJZA9Cq5LR2uBicqsXUcYG2Dx9F8rpxA4JCRdTcuxmarqeqwUpmciTzxqfTP8WI3+dF2X8s1tO7iJq8nOaNf+t2moJciTptMKJcib3oMKYZNxE57hpsxUeJX/YIXksryrg0omfdHHzYvKISSNM/D09TFfqBY2jb81m37RsnLkMZ3w9L/nf4nVY0GUOJGD4Ld21Rl4nzZfit7QTcDuSRcXhcFQTcDgSFEkGlxWduRBGTiqjR95hGFDl6Ac6aCwTcDlw1ReiHTSVi1LxgylljJQ2fP4eoVBO78F4s+VtDD84+axs+j5vm9uCA+6UPj/P4zaOBoBHlmNx4ZKLA2bIWLlS2c6a0hYZWOzFRGr7dV87+0xe5dsYAfnHzGGxOD0kxetxePw63F4fLh9XhYXRuAhmJkdicHhpa7FxstjFxWBKFFa1kJEb0OPMJMDDViEou8tQd4/lyRzGnipsROweaq+cPQqUUeey1vSTF6Ln9msFs2FfOpv3lSMDonHjuXjKULYcqMdvc3L10KInROgSJH60JtM8XIC87jneFc6iVcmaMTiVSp8JoUPGrW8ewI7+GhlY7mw5UcLKoq1Jo94laxg5OYFCGKeTV0hNDMqOJNaqJj9Zidwaj3gF8/gD/+OYsT6wezatfnAp5wIhCMG0tOU5HTYONuGgtRr2GsYMT0EUYUGYOx9WL55Vx8HiuGRDHt/vK+d2XrTyw5Ck4+jnuqrMgiEROXIZ+8CQkjxtBpUXqnM23nt6JceJS2nd/2m2bkeOvQVDrMU5YijwiJtgOIor4HB2460t6qQCQsJ3bT/yKX+CuuYCj+CiCUo1hxExiFt6Lp6EcV30puuxxoQHs5aiSBuBtqcXbUkPDF8+hyRpBxNhFIIi460oQ5EocxcHWML/NjCqxP4r4DCSNge1HqpmVk9nr4FqbMxFUBrKSI6lusJKdHkVds62b+ANQXGUmOz2KRZP74fb4qaq3sGx6f4wGFV/tKKHN4sKoV7FgUgaROhW/evMgbzw+kwdvyGN3fi21TTaunTEAq8PL+r1lNLQ6MGgVzBmXzoxRqbzyxUkCAQm9RtnNw2T4gFjOV3Yd07Uz+vPOtwWcvew4JSkoEMtlAlnJkazfW86jq0bx4ZbzoYHuur1lPLBiJMMyTX0i0BX4fQEWTMwgMUaHKVLNU3eM40RRE9ERwcnER1eN5rWvTmF3BuVEmShwzdRMFAqRs2UtOFw+EmN0YSmNX+0oYcygeFQKGbcuysXp8bNhbxlP/eMQHl8AU4SaexeOI8djJWLMAixHN3Y7rqhpNyAoVMg0Efiu9MG7nIAfJDDNuAmZwYT9wmEkTyva/nkoYpKRG+OxFezFXnwU/aCJ6LLH4bO04Ko+h/cynzsIpn+pU7J7FIB81jbkEdE4So6jGzAGe1GwfctasJfYJQ/T8NFvIBAuTMsT+mORmRiZrWXbkSruXjKUxjYH/ZIiOFXcxLzxGRwqqMdq95AQrQtOXPXy9TToFGiUslCKqdGgwuHyhr7OkgT7Tl1k36mLREeq+fl1I+iweVg5OxuZGHzeeeave0NeRBD0QHxj7Rl+ddtYjp5rwNb5GcdGaVAqZNy5ZChvrTsb5vmVlx3HL28dgygKvLHmTFhl9ZO3jOHoufD39HJ2Hq9h0eR+vb7eRx//bfQJQH38j6lptP3oqn8gWBKeYNJS3ucD1Mf/CwL+AGp5sKx41uh0fvPmAQIBid/eOZ59py6GiT+X2H2ilqfuGMe2o5UcOF3P2Nx40hMiKKs1s25PKS/+bDJDsmKwOrzEm7QYtErqmm1cPSUTp9vHuxvO4fL40KrkHDxTR0F5K3FRGkbHx2Pe/HrYviSvm7aNr3H1tc8gKvqRnhTJl98X09jmQCEXeePeWQQu7MPTepGoaTdgPvhNKJ1IFhFD3OIHkBBwN1ahSh6I62IRkeMWo4hORmGMx3b+EG3b30WXO5m4ZY/QcXg97voyZLpIIkbPR26Mp/nbV4lb+nAoAeUSEaODyUdN37wc+p+r8iwynZHYq39O49o/hnmfAKgSM5EEISTw2M4fxDBsOpGj5mI++A3WM7uJX/4ELZv+3tXWJpMTOWoeyOQoo5MwH1pP7DX3YTu7B7/NTOS4RShjUtAPngICWI5txlXTlTKkSsjEL3TN7nfYPVTWWfjVbWNpbHWw/8xFfD6J0bnxXDtjABcq26htsmF1eEK+T+v2lHHrolw+/e4CcyZk4PH4Q5UJohCszCosb+OaqZlsOljBg9fn8f2xauaOS2dgWlSPApBGJWdMbgIHz9aT28/E0KxobluUi9vjp6C8lXe+LWDqyGR+eetY5HKRFz88HhocARw730hhRSuP3zyGZ946xLHCRqaOTOa6WQMI/IgHnxq5yMM35BGhV7H5QAVPv3WIgBT0cbv96lzaOlxh4s8ljp5rYOqIZO69djiPv7YvbIABMH5IIpV1VpQKkWumZFLTaKVfcmTo9eLqdj7cfJ7brx6MWiVDQCAxVodMFGi3utlyuBKVQs51MwewK7+Gr3Y4eefeVTRUF3ZLzlOnD0GQJLYeKg8NRB7/2Mni8YsZPfYWkqNV2M8fpPnbV1HG9SNhxZM0b3gdn7kRZ9lJlPGZxC55EPOBNXiba5FHxWOcuAzJ76X+gydD+1ElZ2OacSO284fwtdX1/IYKIoYRs4Lbv2yg6Sg+in7odAwjrsJ6egf6wZORAn4cxce4JPSq03IxTlxK0zd/Ca4kBXCWnsAwZBoynRFvUxXNG14PLa9M6IcU8BO/9BFKGj2s3V1KU3MMdy64j45Nr3G5gCyPSkAYtYxmu49peSmcr2xn8dRMvjsU7h8iCHDbosFERajYfrQam8NLXnYsv7hlDJV1ZlrMTm6cm41eo8Th9rLzWA0F5a0smNSPbUerWLMzGBc9rH8MF5ttvL+xy+zd6vCyZlcpE4cmsmx6f8rrOrp5A8UY1Syd3p+XPgqKXKIAI7Pjuvl2XeLQ2XpmjU7DYvfwydYLzJ+QwWfbgu20kgSvfnWKvz06A5XY4+r/tUiCQG2TjbW7S6lvsYeE7ml5Kbzw/jFijRruu244EToVrR1O9BoF+07VMSpHS5RejUopRy4TyUiMYM+J2pBX2O4TtQwfEMvXO0u477rhlF3swNPZNthmcfH7z87z3O3DyB42A2VMKuaDa/GZm1DGpRE5dhGepmpat76Nut8I1KmDcFX15GcFPpuZmEX34qo4jW1Xl+ees/IMjuJjJKx4kqb1f8XTWIH19E4QRPRDp6GMSaXj8Ldh25LpTfh7mOQAUCVm4aw6h6exkpgF92AvOowsIgbjwgcodxhIWfUcjv2f4qo8i6jWIh8yG2vKBF767AKjc+MZNziBP32Sz4KJ/RiZHUtijB61Ss4tCwaREm+guKqNScOT2Xequw/Z2Nx4KustjB4Uz56TF1EpZTy6ahRvreu5NXvKiGT8gQBebwC1UsbJoibsLl+33+ZLfHeokql5KWw+UEFGYgR3XDOYNouLDzYXhgl7EPThitAriTKourXVt3a2ZPaGTBRIitYR+BfVTn308d9CnwDUx/+Y6iYbA1Mi//WC/wESTFrK6nqeGe6jj97wByAtPoJ/rjuD1eHlZ8uHU9tkY+ex7mkbl9iVX8viqZmkJ0Swfm8ZLeZgj/zssemYbW7e+fYcZqub390zgXc3FHDNlEzOV7bR2uHi6smZJMbosNjd3Lwgl1/8bT9jBpqQndva6/6Egi1MHrGax9/oMmf0+gI89WkJT13/FL4L34O1jbilD4FciShT4G27SMt3b6FOyUabM56YhT/D01hO/cdPoU7LRZ08EHvhfgDshftx1RRiGDGLyHHXBNvGPA5kKi1Jq59FVOvDqhgQZWgyh9P45Qvd30+7GcuJreiHTMN64rJzEmUYRlyFFAjgswQH+IrIWADUGcOI9PmwnPo+KAhNWIJMG4Hk9yHIFNgLD+CqK8EwbAbelhoknw+FKQnL0Y24LxZjmnETTd/+tdvMqMxgQh6TSo1FYExuPMcKg1VJOo2CdbvLOFfRJcyU1ppJiNbyzF0T8PkD7Dl5kbkT0hnePxa3x88fPzqOy+OnX2IEv3sn+DlMG5nMjFGpnK9sw+H24XD5uO+6EdgcHmIi1UiSRGuHi8dXj+af35wNVZ6kxhu4ZeEg/v71Ka6bFTSfvXXRYJ577yhN7V2tQSeLmxk+IIZrZwwIE38uYXf5OF7YSF5OPMfPN7L35EXmjksnKUbf63fpP44kkZ0WxW/+eSisNai+1U5RtZkzpS29rrrtaBX3XzeCp+8az7f7yimqaidSr+KqManotUreWneW3/9kIn6/hEGnwqhXcvXkfmzYH2yPrKy3sCu/hsXTstidf5Fz5S1ERaiZPTaNycOTSIk18PTbh/D5g8fotlmIX/4E1lPfB1N/VDoMw6ahiEqked0rzJ76KPtOB0UXi93DZ7trGTcggoaPf4PfZgbA01CBq+Y8pqtuQW4wEXAFz1lUaTEMnY48Mg55RDRte7/AVRFuluq+WETH8e/QZo+DXtrRtANGYy86Gib+XMJ2djeG4TOJGD2f+g9+RcTo+cSv+AWSz4PCGI+zqoDGb/7SdV0DquSBSIJA/Se/7bY947jFtG5/D+PEZVhcJgCioyPIt6nIXv4CstqTCI52AkmDaZPHocWASIDoCCU3zcuhtKaDcUMSuHpKJp9uvUBFnYUVswZS3WDl3Q1drS3lFzvYcqiKl+6bzImiFtbuLg0rqJGJAqNz4kLXIcB1swby0kddpvyXc/BsPS/cO4mZo1MRCba0NLTayUyOJDs9ipoGK5OHJ2GKUJOdFoXD1btnjCR1tdEUVbWzfOaAsNcDAYmSGjPD+kX1tZ90IooCde1Onn67y4w4IMGRcw1U1HVw5+IhvPTRcV788DgDUo3cvGAQO4/VkJtpYs/JWrYf6UpKFAS4cU4OCyb1Y/OBCqwOL3EmLaW1Zl7+9AQPrByJxeHB6w2gkIs4XF4yItxcfPsJNAPGELfkIQSZHGf5KdoPrAldN66K0xjHLeq5PVOUoYhKQJDJaCnY2+383HXFWM/uwTixs3LPaUUeEY0lfyvNm/7OlZW1kWPm0/j1H7ttR1TrUKfkYD6wJvh3dDraFc+hNUZxvinAmZIWpoxIojThWtIGX4/L42dHQQfD9SK3Xj2Yoqp2ms1Onr5zPDuP12C2unnty1O4vcG2rt/cPo5/rivgkVWjkMtE9p6sxR+QEEWBCUMSWTl7IB9tOc/EoYkMTIsit180LR0O1Mqu4aNGJWfGqBQG9Yumf0okZRfNjM6N58m/7WfuhAxqm3o3269tsrF6wSAmDEmk2eygsc2BXqPsJv5cYt/Ji/ziljF8szs8XTX/fCMThyWFTMWvZPyQxOB59XokffTx30WfANTH/wib00u71U3sj8wA+hIJJi3HLjRhsXuIuMJnoo8+esPjD1DXYuN0SQs6tZyoCBVN7U7cP2Do6XT72HKoitKadu5bPoJzFa0MyjBRUNbKwTP1LJvRn/goLUq5iMvj47dvHWZAqpEInZK1u0tpbHMgEwVe+vlkXn5gKqqAE8+mXmb4AX97PbV13atI6lrs/OzvZ/n9XVeToA9wqtpMk1POrH5+Wja9AQRTTqwntxO35CHadnwAUgDD0Gm07vwofB/WNsz7vgIgavqNeBqrMAybRsDrwV2aT8TwmXR0ltCrEvqFPA16wlFynIQVT4YEIEV0MlHTrkdUauk4uQ0IVlGo04fQ9M2f0Q4cQ+TYReiHzwQpgDppANbTu3CUnUBQKNHnTkbTP4+WzW+iSR8CoogqqT+CXImvowlnxWli5t1J+76v8Ns70GQOQ52Wi7b/aBySml37LnLHNUOYMiKZA6fr8AekMPHnEg2tDnbl1zA0Kwabw8Os0Wn88eNjNLcHK5nysuMo60yemp6XQmZyJM+8czg0ON2wr5yc9CiunTkAo17NkXMNFJS3smRqFr//6UTaLS5AQKkQ6bC5udhsxx+A2CgtZ0tbwsSfS5wuaWHW6DSiI9W0dnT3PCgob2HptCyKq9ux2D1sO1LNwHRjr5/NfxpRFKiqs/TojSSXi7g9vfvuuN1+jhY2EBelZVxuAmMGxWN3+dh9opa6ZjuPrR7F17tKOVJQjyTB+MEJrJqfQ25mNBv3VyATBa6emsmz7xwJzVI3m50UV7fz8xXD2X6sOuRDkhpvwH2xmPaj69DnTsY09XoCXhf284dw1wVNhrXK8GnoqcPikBVuxdMp/lzC115P09cvEX/dE/isbeD3oYhNI+By0Lzv78R2Vhb0hKPoCKapK1BGxWM9tYMrB5Pa/nm07fqk1/fMenY3xikriJp5E23ff0DHkWA1giwihvilD2Oacwe+tov4bR0oTYkok/ojqrSoM4bi6jRll0XEEDV5Oc7Ks7hrL9D45QsMWvU8T6wejV6r4Df/OIQowMD0BHTqVKpPWWk2n2fScDOLp/bnV28exGLvqqLSqeU8smoUH24+z5CsaH7zj+6taXanl/c3FXLVmFQmDUtiw/7yUNx3v6TIsCS5uePTkYkCVkfvwk1Dm4P3Nxbys+uGo5AL5GXHcrq4hQ6bm6QYHTfOzeYvn53gSEE99y4f0et2BAFUl/ls+XvwrXG4vb2mCf434pPgvcsqsy6nqd2J1eEh3qSlsc1BSY2ZZ985wuKpWWhUijDxB4IC3CdbL/Cr28ay41g1Q7Ki2XuiluuvyiYzJZI1u0o4cq4BSQpWc00flcoIfafnUMkx1ImZ2IuP9uCZJ9G26xMSVjxJ244PcNcHRQdFdDJRU1fiqj6H327u9Ryd1YVos/KC57T+r0TPvh1RpQ1vBRREjJOuxdNWT9ySB2nd9k6o0lWVNICoKStC92VlcjYOn0ijXUQMBHhnfQH1rQ5y+0Xzj03BqjdRgCdvHcvXO0oouqyy7VJVndnqZun0LNbsKiVCp+Risw1/QOLlT/KZNSaNX9wyBp8/gFwmcrK4mYZWOyMGxBJt1LBzezFJsXpe/uQE9103gvFmJ7VNVqbnpbBpfwV///o0Oo2cBRP7EROpRRAFWjucJMbow5LILicpVseBU3U4PT7ysuMwGVRh1/GV+ANSj9fXyaImFk3O5FhhQ7fqoLzsOCwOD/vP1DFjRBL+Hkzk++jjv40+AaiP/xGX+nPjon6cAlBitBYIGkEP7x/zHz6aPv6vIEldDxkjs+OoqrdQ1WBlxMDYboaFKXF65o3PYGB6FFa7B0GA/AuNJMbowmajd5+oJSlGx0+vHcb1s7N56aPj3WJXf3HLaPQaJR9sLmTu6CTio9OhsbLHY1TEZ1JY0/MsmT8gceR8C5nJEZhdSlo6nBQ2yUm6wthZkMlDVQmCUkOgl7hZAL+jg6hp13PxvSeIX/IQHQfWErv4frTZ43AUHQFBRPL/QHm1FEBmMJF8+0sEvB4QRSS3E3dLJdqMoRiGTEHyeWha+2eQAjiKjuCqLsQwcjYBjxN1Yn/8Xif6IVOR/D5s5/bhaawEUU7UjBvxOyxBT4Rr7qdly5tYT+/A3VhBzIJ7kOuMWAv24qo6h+Tzohs0icykCB55ZQ9Gg5p7lgzh2/0VxJu0nf4/IoUVraHPZ1d+LWNyE1g0JZOH/rIHt8ePXCZy1+IhxEZpuFDVjigKTMtL4Zm3D3c79QtV7RSUtZCXHcff15zm2XsmcKqkhU/eCl82Nd7AwzeOwuP1M2VEEh9tOd9tW5c4eLaeYf1j2ZXfvSrNoFPi8Qa4e8lQms1OSmvaEX+oPv4/jEwmcrqk5yqfosq24DXYQzoewMicOPadquNCVRv3rxjJjiOV9Es2cv3sbCL1Khrb7JTXmpEkGDEwljGDE3jg5d1ER2qYPCKZUTlx/PObsz22KDjdfi5Udg1cSmvNKIb3Q/K6sZ7egfX0jvDz0BlpcYYPLqYMisS7q7uYcQl70VEkjyvkxWPIm0PSLb/H09Q9VjmEFMDvsOCsPk/skgdo2fRGlxeQIKIwJSEFer8WJZ83mLCVkkPCyl/iba1DCvjRZOUhue146krwmRtRJWShTh2EJIj47RZi5t9DwNGBz9pGwO3Akr8VT8OlGXcJ+8EvcaQtp741OM8ekOBCZfhgblBGNK9/eSpM/IFg5doba87wu3smsKezlacn8s83MnN0Ks++e4SfrxgRao8URQF/p4+PXCYybnAC9h+o2gkuJ1DdaOVYYQMni5u5/erBLJjUjzNlzezKr+V0SQvLZw5Ep5EjiiLZ6VFhpsOXGDMoPmTcHxulwebsnkTWP8WI2yfx47Vj/9/FL0k/GPVeUmMmJU4fEoU9vgAKhcg3u0t7XefgmTrmjE1Dp1bwzZ4yfnnrGL47XEn++abQMgEJDhfUc9vknND/RI0Bn6Vnrx9PYwWWUzuInn8PgiAg+YMhAu17PkcZn46g6P7sKzOYiJlzB972RsyHvkFUa4ld+FM8jZVos8ehHTAGd10xgiCiiE7GVnIMVWImllM7iFvyMD5bOwR8eJqqaN70t+A9WhCJmryclm9+R4TThmrwdF64dRFbz1qI0ClDhtl5OfGcLW0JE38gqDm9u+Ecf/jZZBwuL7+4eQz5FxrRdybd+QMS245Use1I+O/O9LxkIv9/7L1neFz1ufX9m95Ho957t2RJtiRb7r1XMKYYTDMlCSGUQCAQSnJIAXJISCGhhN67bTA2uHdb7pZkW93qvUyve78fRh5blkTOk+e98sCJ1gdfl/fsvrXLf93rXkuv4qG/7EUigXWGXHQaBX/75CRr5meyZEoyD/1lbyCZz+Hy8uamM2QnBbNuWQ4vry/j0ZsnsONIw7AeQwsmJvHCJycx29wcP9fJQzcWkRpnGvEaK+TSYVu9BBFe+vw0v7hlIgfLWjl6tgOFQsq0/FhEUeSlz08THaZnytjo0XtwFKNglAAaxf8lGjqsyGUSQgzfPQ8ggCCdErVSRkO7ZZQAGsX/GEq5FJvTQ3q8iZLcaMw2F/tPtfL4uokcKmsNmCHOGBdL0ZhIPvimklc2lCGXSZg0NoYrZqTy8xeGRiG3dNnYfqQRk17F7+6ayuEBNUhEsIYlU1NwOL2U13YTFqTh0z3nuWvuQjizZ6iZqkSKYcIySv82fAUVIDpcR//AIGvDnlr2GtX815r7UO7867CDS5+5C0VobCBOesg5CY3zS+MFYaDqKdK58S+YSlYQfOszuLuakQeFB9QEl0OdmIutYi/9h79EZghFdNvx2fqJXP0wPTvewdvXQcSKnyD6PCjCEwieuhrR48LntqMNz8fT24Y+swTb2YNYy/3pSuqEMYTMugGvtY+Oj34HgLe7mbAFt/tPk0qD6PXQ/NrDgXPoqDlO/4H1TL72cdabNDS0WTh6roMFExPptTjZe6oFj0dgQk4UV8/N4K8f+1UY1Y19pCeYuGtVPn/95CS3Lc9l/6kWymu7eXBtEVmJwd8aK761tJFJudF4vAJWh4d3hvETaWy3cOB0KxNzIokM0Y64rn+GGePieHfLWbr7nUwfF+tvSfkOCw9EURyxiHCiqpMrZqax61gTvZbBhsfhJg3pcSbeH/Bb2XKonh9ckce7X5/j6TdLEURIjQti3fJcthw8z6LJSTzz1hEE0a/y+WxnNVmJwcOmv4FfcWIyqAIqq/pWM2JQBjJDyBD/K01KAaZp1yC1ifz+1mwO1dipaLCgkP/zpoNLyRpr2W7UcZnITZEjzi9RqhF9PrSp4/F5nMTe+gzu9noEjwu5Phh3ZyPatEJsI6TvaVPHIVh7cDSdQR2Viqe3Ha/DglSj96sEL71XDm8kYuV9dG993a96aK7CcmTTsOv1dtQRmiWh0zZyhT0h0jDi+e7sc2Cxuf9HXsk+QeRvn57i/uvGU1bbTUevnQk5OXyyo5qxqaEcPduBTqMgJyV02PtSp1Egk0pxuLzsOdHCNXMzkEmlPPbi/kF/Z98cbuDmJWMw293cvGQMb2yqGERqFWSEs3BSEjqNnIWT/P5eX+wdrCSZPDba74PiE4gwqka9oAEJEow65RAi8AJMetWQ1qHUONMQv6hL0WdxsXxaCk8MEOtymXQQ+QP+CPkfXZVPdZeZqNgs3M1n8Vl6UUWl4qg9Pux6FcZQ+g9tJKhkOfaao/Tt+QiJTEHY4h/is/dhPbX94swyOeFL7qLrq7/j7b/oW2Yr34uxaBH2s4cwjJuLJikPd3cTgtuBJj6b3l3v4+44jzIiAX32ZMxHNmE5vRvR7UAVl4WpZAWWo5sDzx3nya/xNZZRNPM+ypv7mD4uju1HGpmaHzOiPw/AyapOzjX0cmxDObcuyyEiWItGJcfhGqqyzEsPw6hV0tRh5ZalY6hvNXP0bDsP3FCE4BNo6rTyxpdnAuTPpThT38t187PITQ1j88Hz3H31OP6xoSxg9qxWyrh+YRYnqjoDfwPNnVZqmvuJC9eRGhsUUNZeivkTEwnSK4c1rZ5VGMfO402crOxkTHIoXp/AR9sqB6lofeIoCTuKUQCj7ZCj+L/D+TYLEcEapNLvZnVZIpEQGaLl/AgfnKMYxXCQipARH8Q1czNQyKVEhGiRSuCVDWX87MZiZoyLJSnaQMnYaP77nWMBJZzXJ7LnRDO/faOUdctzh1333pMtzCyM58iZdlweH9MKYpmQE4VCJqW508r+062YDCqump1Os1OD6YqHkekvptjJ9MHolj9Iu1vLzPFxw25DLpMQF6EnKTqIL/b6K/Q9Zif/9VEtuiX3E339k0SsehBFaCwyQzCquEzc3c0ElawYdn0yQwgynQmvpRvR60aqHvCTEXx4zV30H/mK7q//gbPxDNrMCUOWl8iVmEpWYD6xDdHrxtvbis/Wjy6zBHd73YCHjwvkSkLm3UrEsrtxdzXRs/Mder5+ldZ3nsB8bDOIAoLbScTK+4i55XcEz1yD19ZP91cvBrblbqul4/M/+BPQBB+dG/88hEATPU56N/2V+5cnAZAYbeTrQ/W88MkpTlV1caa+h3c2n+UfG8q455pxTMmL5kBZKx09DrYcOs/v7ppKsFHF8cpO3F6B+hYzs8bHYRum8n8BNoeHIL2KOcXx3+pps+t4ExKpBL1GQUlu9IjzzS6KI9ioGjJ9VmEcNocnQFrsPt6Mw+1D/A4zQF6vQFF25LDvEVH0K28eurGYeRMS0GsUGHVKFpQkctfqfF745GKb1JUz0/mvVw9xuLwtMDioaernmbeOsHxaChabOzBYCdIrGZ8ZQZBehVw2/Ptr9/Fmlk9LGTTt6U9qCL36cZRRF6eHzLsFdfwY2j94Cs/Hj6DY8BjzxT3cuyIZiVqPLnvK4BVLpKjiMtGkjsNQMGeQQbnodiJV6UDwoYrNGHa/jOMX4OnvwF5zDDwuur56ic5Nf6Nn2xu0ffBrera9gSFvJlLNUN8nVVwWosdF27u/RJ85CZnGgDZ9PMGTr6D7638Mc6+46Nn2JkHFi+nZ/ha69MJh9wlAZgylucdFRrxp2N8Togz/lBDrszgpzIoY8ffCrMgAoeNyX/AxmcAdK8cGlHMalRyr3c1X++u4em7GkBZ1lULGwzcW8ekOv5pEJpMQH6nn7c1nhpCMAK9/WTHQAuqhJCeax9dN5KG1RTy+biKZCcE8/dYR/vj+CeYUJZCVGIxBq0SjkhMdquPGxdmsnpPOS5+dprnThuQ7rMT7d0Itl7ByRuqwv0kl/vS+C2orqVTCj1fno1XJvzXRNTc1jM5eO1a7/zl8oWU73KShMCuCrKRgbl+Ry/PvH+fZj8/hnLQOVXIBzpZKTJNWMFxWokSlRZ0wBmVINILdgioqDU3qOILn3IT5+Nf4bP2oE3IC8+uzJ2Mt3z2I/LkA85GvUCfl4GiowGc30735FTo3/oXO9c/j6WvHULwEXeZE3J0NIFMQtvB2otf+F4aCOXRtfgl79dFB6/P0tKCxNvLNwfNML4glIdKA6pK0ruHQa3EGjvKNLysQRJGfXF2A8rL7MiJYw6pZ6TR0WHjqtcPsONrEgpJEKuq6cbm9PPvOUYw6Jaeqhx7nBew71cKa+ZlUNfb6yflVefz2rik8cnMx9103nuPnOtl8oH7QMntPNHOquot7rxtH3iVFW5lUwtwJCWQkBLOttJGbl14853KZlCVTkokK1RFiUFPV2Mf63TV8ua9uEPkzaWw09S1m5P8DUn4Uo/jfjlEF0Cj+r3C+3UKE6V+vVP87EGnSUD1qBD2K/wOIooheJUcRYcDl8fHiZ6e459px/OmDE/z61UNMLYjlh6vyeemz4SttTR1WBEEkxKimxzzYo8XjFXC6PSREGTlb30N5bTepcSZCgzSIokhsmI6kaCO/faMUu9NLaqyR66f/lGi9iFGnpKZLwOrRsOHzM/z46gJqmvsHRSgr5FJ+vLqA3cebWDE9bdAH0HXTY7Bu+St9nQ2IHhdRNz5F5OqfYzuzH8FhQW6KIGzxD+nZ+U6gHcyfCrQK0eehv3STv/3E1od8oJ1MmzGBzvXPI/o89O56j7CFt6NJyMVyegeC3Yo6KRdD/myQSNEm5+NsPItUa8CQPwdlRDytbz8JQPCsGxC9bmzlu+nb+yGK0DhC592C43w5lmNbcLfVYT6xHV32JFzN59DmTEMiCMj1JnzW4T0DRLdrSOpY4Dp0NxOlFzEZVMikUkovqxSD3//n+LkOphXE8NmuGpZMSaa8tpuapn5MBiWr56Tz0bYqPtp2jj/9dBZyhYyvRqhQj0kOoba5n5UzUtl02UfvpXC5ff7I6zYL0wpiOVzeNsQHKDc1lNAgDfMmGJhTFE+/1UVTh4WQIA2VDX289kX5oPm/OXie9Pj8Ebf5XYBaIeXhtUU88/aRgOcO+BUWCZEGDpe3ce08f8tBdVMfR892DPLtSYwy0NplHdYTySeIbNxby9KpyWhUcm5dloNKIaOstpvSM208cVsJ+0+18tVl16W1y0pSdBBzixPYWur3HTlT38sjb3t5dM1PCcKJTCbDVXOE3l2XRLgLXuxlO1H0tdOWfB2mzPnIqkvxWfvQjZmCIW8WjoZyBLsFj81C+LK76dz4ZwSHv1BhObkdbeYEwhbeTt/eT7BVHgZRQKJUYxy/AHlQOMrQGKQxGXgt/lhpuCjyEr1uur9+lYgV92GvOYa9shSJUoU+ZxqKoAi6t71BxBX3YS3fjfXEdkAkdP66ke+VnhbkxnB8lh4/OYWE4SRlxuIljNeb2FvVx8KSRDYfHHwvrJyRisPlRTmQsng5pFIJUQNm5fMnJvD1ZV4vOo2CpdNSePrNi8bOnX0OPh6IhM9PC+WHq/JxewVsDg9ltd38+cPj3LI0B7vTy/k2M+EmDWnxJupbzFQ39QGwsCSRPqubo2fahz1+8KsT0uOC+PXrftWlRDLYyqW1y0avxYXHK5AWb2JWYRwutw+9TsHW0kaaO61EhGgRR+U/gJ/0nV4Qw5n6noARP/iLF/dcOw6n20tilBGb08Nty3PZc6KZV9aX8fCNxRyuaBv0jAAwaBUkxxj55nADj68robHDQphJwwPXF+Jweals6KUwK5LufmfgnfzIG2e4cspSJmUGIeAgfNmP6d31fiCQQBmVTMjsG/HZzKhT8hE9blxttcgNIWiTcujZ+hr2c4cIW/wDtKnjsJTtRps5kc7P/zjicTvPVyC4HUgVSuShMbibK1En5BA8bTX9RzbT+s6TyNR69Hkz/QUPu4XuzS8PSR28AGXTMa5bcDWvbiznyllpRIXqyE4K4Uz98J47mQnBgfPtE0Qa2i3YHR5+86MpnK7pptfsJDs5BJ8g8trGMq6c6Tc0r2818/iLB3jy9kmcqe+mz+LC5xNRKmS43MO3m6qVMrYebmDx5GTe+uoM584f5Ze3T+KNLypoHsHkWa2U02/1G3aPSQphxfRUPF4BmUxCaUUbz79/DBF49u5p/OaHk/H4RNweH/tOtvCH945x77XjSY83DWkvjA3Xkx5v4nB5G7lJI5OIoxjFfwpGCaBR/Mtwe3y0ddsYmxzy/3pXvhWRIVoOn+3A6vAE+p1HMYrLIZVJcXkFBFFELpWiAJQSEaVGDiJ8ua+OB24opLvfSb/VhUohG1aifAGVDb3EReqHEECLJifR0+/i2XeOBgxBvzncQJhJzX3Xjicj3sSjfz+AfaCKV9Ns5lfv+cmY7KQQZoyPJTfFn7rX0Gpm1cw01szPory2G51WQWSwhprmflbOSMPh9BIVqqWt2+6PlU/RIYu4AsFhQ24KB5+H1vf+KxATbzmxDV3ONGLWPoXP3u9vwXJaQSrDXPoFnk7/gMzZVkvklfcPpJaIiL4Brw1RoOurF1GExaHPnoxEqUEeFEHX5pfw9rajy56EsXgxotuB9dR2DOPngyigy54MQMcnF1NQXE1n6Wg6S+i8W1En5uI8X4a98jBBE5dhPvoV2owJCB4nontoxX7ggiKOkJIUgOAjPy2MQ+WtI86y71QLCZEGMuKDqW/xX4c9J5qJjdBj1CqYnBfNjHFx2JxepBIJ8ZEGGi9THEolcMXMNF74+CST82IoHhPJF3suNxz1Y2xqGJ29DsZnhuP2CNx5RR5Vjb0cOdOBUiFlan4scRF63B4fr6wv49z5How6FQtKEtFrVXy6o3pIi4nT4/vuy30FkbRYI395YBZVjX1Y7B6ykoL9z2wRMuKC8Hp8qJUyXvzs9JC2g6RoI2fqhycCAc7U93Djomzuu248H22rHDRA+GR7NVfPyQikCF3AuuW5tHRZWTkzlcl50dQ096OQS0mMMvLOziZ2HG3i9+vGoNz/6bDb9DSdIXuChKc+quWR1b8gUmFHrlTj7mxEFZUKPi99ez9E9LiIuPIB2t9/CtHnwV55GEVoHKroNDQZxejHzkAUvCCC9cx+lFHJuFprUZgiR/T68XQ30/bhb4i+7nHkxjBEnwfbuUO4W2sIX/6TQMsJ+FvKBOfwA7IABpRBosdF6IJ19Gx94+J9jwRj0UIESw++HW8zecmj9PhCKMqO5Mt9dfTb3IxJDiEh0sBnO2tYPj2Vj7dXDdnE4slJfH2wnqIxUcRHGnjwhkK+PnQei91DTkooRdmR/GN9WeDZCBAdqsNic3H/mvG0dFp55G/76bU4yYgP5s6VY9l3upVn3z5KaJCaqFAdp6u7iI808P43/rbB9HgT2cmhWO3uYT1KLsBid2PQKQPtMsPxODKphP2nWpg+PjZARG7cU8vZ+l5Cg9REmNSj7V+XQCqI3Lkil+vmZ3LufC8yqYQwk4Yv99XR3e9kSl4MOo0clVLG3pP+QITPd9fw4A1FvP/NOeoGnsf56WGsW55Lv9VFSmwQPRYnE7Ij8fhE3tl8NuDPNKswfpA/U3aCkYJEPTJHH4JWhtwUQeiCdf6kSakUT3cLnRv/QviKe3G31dG95RUAFOHx6O0WEHyIgo/ODX9CGZmMfswU5IaQb33viD6/AtZrCCFi2d34HDYkEoGWtx4PpPoJdjO9O99FkzqO0Hm3IFXr8FmHJ4B8KgPn6nu4fWUOGp+NEImFh1en8cf1NRyvHNz6GB9pQCqVDiLJZRIJE3OicLl9FGZG4PL4kMng16+WcsXMNDYfrAf8KpvC7Eg6++xEBuuQSSUcLG9lWkEsWw8PJmovIC8tnN++UcqvfziZH1w5lvgIA2EmNfMnJfLaxuHb1/0qnX4sDg/vb60c8Tz2mJ1EBGt46C/7BoVz/O2Tk9y1Op9es4t9p1oQBJGJOVGUjI3mkRf2ccPCrGFNpEcxiv80jBJAo/iX0dRpQxAhIvi7rQC64C1xvt1CTtJ3m6waxb8fEgl4kfDxjmq2lTbi8vhIijaybnkOsaFaJILIj67K45G/7efXrx0mzKRGq1YQG65Hq5YPGoxcihCjakgVSiaVsGRyMvf/cdeQNJiuPicfb6/i5qVjAtHgl+NMfQ8/WpWHx+vlB1fm8dZXZzh6toPspGCWT0tFrZQjiCLjMyN46C97CTGqWTUrnfe+Psd/rUmjf+Mf8HRdNFhVJ+YSsfJeOj57LlBhtJXvQSKVoY7LxGvuQqoPHkg9uZbg6dciigLOhgp81n6Cp12F3BSJVK0bNID0dDXRu+dDACKuuB9vfydyUyQyfTCC04qz4QwSuQpPTxuKsDiCp11D0z9+Ouwx9+75gLBFd+I8X+ZXQUgkKIKj8Vq66dv7MZqUcQGC6FKIbgcyvQmkMhhmkCzTmZBpdGQlyb+1JUsQRJDADYuyeO/rc0gk/mlSCXyyo5rf/HAKGpUMQYSdRxu5dVkOB8ta2XGkEbdXID3exFWz0/nmcAO9FhdfHahn3kS/lL3yMqNOuUzCjYuzUatk1LWYaWy3UJwThdnuZlxmOD6fgMPlH3Q/8rd9gcFkn9XFB1srGZ8ZwTN3T+VQWRtbDp4P/B3NGBf7nW4BC0AQUUpgbFIwEsmAqe/AQXoHPvJVcin3XDOO5949OmjALgKhQSN70QXpVHh8AufO9wxrPvvhtkp+d9cUWjutBOlVrJyegs3pxSuIuN0+tpc20tBuxuMTB0UUqyReBNfQ9LIA+ttweXzUtDnQOUsxH/4yQKZItUbCFt6BufRLzKd2YFzzWxxt9ZgiIlBoDXj72lGGxCBRqfH2dyH6vBinr0EiCkikDch0JnwOM0ikQ33CAAQfEqXan/Q3AHlwFILbMcgHTHQ7kemM33KvBCF4XKiTxmKvOYbo9RC99le4OxsQvR4UpkhslYfp2fG2/1w3l6LIWojbJ3Dd/CyOnG2nrqWf7n4n+061cNOSMdy6LIcNe2ro6nNiMqhYMiWZwqwIfv7XfTg9Ag6nl7Pne7h7dT4alYIPt1Xyy721g675rMI4TlR2cvXcTPacaB6kJDnX0Mtv3ijlZ2sLaWyzUNvST3iwhjuvzOPY2XbS44OZOT4OQRQRBIFggz/u/XLz3AvISgzm3S1neXzdRP70wYkAqXABQXol4SYNTo8Pk0GF2yMgk3qIizBgs3t56MZClKMpYEMgFUVMajmFWRE8/tIBPF6ByXkxpMebqGnuw+HykhBpDMx/orKTlk4riyYnc+08HRIg2Kji2beP8PCNxQTplLzxZQWzCuPpMTsHXSe709+GCzB3fCRXZThwb3oSt8dJJyCRKTBNvxqftQ9z6ZdI1QZC5t6MXKtH1AcTOu9WrOV70WWVIFVpkCjUgeKJu70Od3sdgsOCJiUfR+2JYY9XHZuJ9fRu9LkzaHnzUYImLsdedSRA/lwKR81xvMVL0BfMpX/vR8Ouz5c8mZg2H+HdJ/CWfkKfpRup1sg9E1bQPDmPx944jVwmZdq4WKblx/Lf7w5uI8tKCsFsc/Px9ipOVPmVT0VZkTx+Wwm9Zgd5aWEUpIeTnRzC3pMtfHOogeRYI4+tm8jGPTXMLUqgorablkueicEGFT+6Kh+tWs6DNxSiVsrJSwtj17Fmthw6zz3XFDAtP4bwEC1ymZSz53s4VdXFjHGx9JidjM+K/KdtWgatEpfHr7abNyEhEEt/qLyN598/QWy4jh+vLuBQeRuHyttwun2kxZnISwsLmMWPYhT/yRglgEbxL+N8mxmpREK46btpAH0BwXoVCrmUxnbrKAE0iiHwihJ++1Yptc0XE7DqW8089uIBnrpzEnGhWgwqGc/ePZWTVV2crOoiJEhNZIiGeRMSWb+7Zsg6pRKYkBOF0+2jq99vbJqTGsrq2ek0dViHbX8Av+Gt8E++TfptbtRKGR6vh5yUMMZl+Kt2H++ooqapnztWjuXVjeWYbW7MNjfJMUaevCEb35Zn8fQMjpV3ni9DptZjyJ+N+ejmwHRbxT70E1eijHLhaq2m/f2n8Nn6QSZHnz0FXfYk0Bjo3vgnVLGZGIsW0bf34yH7qgiLR/C4CFtwOz6HBVvFPkSfF23qOH+al1SKNq0QT1/bsB/AgJ9Ykvg/BqVqHaj16LImIfo8uNvr8fZ3EbHyPjp7WvFZLql4SuVI1HpMk1bSt++TIesNnr2Wjcf6kCmUTCuI4cDp4VVAU/NjyU8Pp7a5j6LsSK6ek4HXJ/DB1kruu248tc39bC1tQBBFSnKi8QkCs4viyUsLQyqV0NRh5eX1p+nq8w8UBEGko8fBVbPTOVPfzfYjjVjtHvLSw7h6TgaHy1v5aHs18yYkYDKoeOrVQ9y9ugCNWo5WpcDh8vD3T08PqyQ4dq6DhZOSOHu+h3uuHccbX1Ygl0lIjg0a9ti+q/APkocfKLu8AgfLWnlsXQnHz3XQ3e9kbFoo4cEaZFIpX+4bXlm1fHoKCrks0Mo1HA6UtTJvQgIqpZzSsx18vrMam9OLWilj7oQEJuRm8Mf3jxMbrmf6uFh0GgXBJiXdIxEwANogokIdZMsbMR/aOPg47WY6N/yJyFUP0PbxMziTF/D7LR4evlpHcNUOrMe3IHpcSNU6DBNX0GIqwNkpJTNCQf+u99HnTgOJDH3uVKyndw/ZtCZ1HD5zN/qxM7Ge3gmAOi4TR81Qs1tr+V6CJi6j/8DnQ34Lnn4t1or9hM6+EVd7HZ7uJrq/eR1PTzMSqXxIFLb97D4kSVMQ5Dr+9OFxrA4PSyYnExmqJcSo5o0vK8hICOaauZnotQrsTi+7jjWSFG3E5fFR32KmICOcfada+M3rpfzux1NZOjUZs81NTXM/4SaN33hZLefl9WU8dGMR72wZaqoO8Namszxy8wQ6++xEh+lo6bRisXtYPDmJrYcb8PgEwk0a3tx1ltVz0/ndG0fwXjZAnJoXQ3VTPwdOtzGtII47rxjL3z87NShu+voFWXy2q4p5E5J48dPTHD3bgVwmYXpBLI+tm4hKOnx89Sj8cLq8LChJwqRXseNoI/1WF9nJoayek8Ce44ODCTp6HbzxpV9BIpNKeOD6Qhrbrby6oZx1K3JRK+VkJYbw7NtHBi13orKTB9cWsud4M6uKgnB9/Hsufc6IPg+9O94has2TKDImo9Zo6Nn2Ol1f/AUQUYTGEjL3Zlwt1ZhP7cRYuID+g+sHbcNyageRqx7E2XjmYjLfANSJufhs/UhVGhTh8RgL5qIMiaa3afi/XQDH+XIMBXNx1p/Gddl8yknXUtUrI58KXNvfC0wX7Gb6d75FeN5c/vjjK7B4ZCgVUp585RA2x8VkvMWTk/AJAr9+/fCgQlbpmXYq6nv4xS0T6DE7KcqO4omXDgTI17Labr7aX8/9awr5ZEclaxZmYbV7OF3dRXKMkXGZEbz0+emAh1NqbBDXL/SrlG0ODwatkqIxkXx1oB6X20dRdiS3L8+lrceGSiHn75+e4mdri0iLMwXaNC9FuElDa5eNzMRgirIjef2LCvqsLj/RVRDDQzcW8foXFTS0WwJKQ5NexR0rc1HLJQij9+EoRjFKAI3iX0fdgAG0XPbdbi6QSv0kVeOAUe8oRnEBEomE9h77IPLnUryyoZxf3FyMVBBRACUDUmKr3UOv2cm0ghiqGnupqLvYby+TSrjvuvG89/U57C4v1y/IQqOSU9PcT4/Zgcc78seHKPKtSg2NSo7F5uZ0dT+F2VG0dVs5dq4DrUrBzMI4VkxPRauW09zp/1uXyyR09TvIDXLQfRn5cwG2ysNEXvXgIAJI9HnotAoE9VbTs+XlizP7vFjLduHpbSNoyd1Ern6YtvefQpuUS1DJCszHvkF02wEJmuR8QmbfAFIZ3ZtfGmR0626vw1q+h7AlP/Irj/5Jq5ZE6n/GBE25iq9OW1mYE4HQ0wxIEJxWOjf9jdC5N+NzmHG31/s9GtIK8Vp60WZORBEWh7n0Szx9HSgjEgkqWUmbYOKtr08il0n58wOzyEkJobx2sG9CiFHN5Lxo7np2Bz9dM55vDjfQ1m3jpsV+BcMr68sGtQHWNPUTF6HnkZuKeegve0c8HplUwlOvHaIgPZy1i7JRK+VUN/WxYU8tQTolQXolUaE6xmWEkxZnQsTvp/Dce8d4+MYilk1LIUivQhRFvD6Brw7UB3ygqgfap559+wj/dedktGo5cqkExO+/+axEIqGxzczeky2cre9l7oQEgg0q5HIpH22rYvXsDNYtz+HVjeWDCLLi7Eg0KjmN7RZsjpH/1votblLjTWzYXTuISHK6fXyxt45pBW6eWFdCR6+dzQfq6bW4MCpTyMqYgOPcwSHrk+mC6PLpWDxOjefI28NuU/S6cbXWoAxPIDxCxx9+VIRz9xtYKi7+/QhOG/273iWkyMYR5QRCjFGEL7iTnvV/IGLZj9GlF4FEhrVsDwhekEjRZZWgz5lKx/o/E33Dk9irjiA4rYg+HxK5csh+WMt2EzztasKX/Rjz0S14+tpRRiRhKlmOKIgYxs6g7aPfoYpJxZA3G1dbHYJj+HeqRK4kVOWhSxDxCSL3XjuOd7ec42B5KzctGcPz7x+jsqF3kALupiVjAq0kESGagBmz2ysgCP6K/8KSJBKiDGg1Cl75/DTHKzuJi9AHWjMvxYxxsUwtiMXnE/EJAj0WJx6f37B9yeRkWrutKBRSrpqTgdnm8pvyu3384tYJbDl4njN1PRh1SuZNTCQvLZQPt1Vy99UFhJk07DzayC3Lcnjh45MkRhlZMiWZwxXt7DjazDVzs5iQE8W0gliqm/rYcaSRhnYLD68t+u63Yf4/hFolp7XLGiB2wB8ysv9UC4/dOpHPhym0AEwaG0V7rx2pVMKJ6k58gsCjt0zA5vAE/MEuwOXxcfRMBz+9Lh/Jmc8ZiWTuO/A5yuk30/fek4PITU93M+0f/pbIqx6k88u/ETL9WozFS7Ac/2ZAQStBFZuJVB9M1DWPYj72Nc7zZUhVWvR5M5EHhWM5sYOwRT+g/aPfoc+d7g9UGEF5B/6ih736GIb8WQQVLsTRdBaJxoiYWIhNoqdA6aPvrc+GXdZxahvhxUtp6RfQaxQ8cdtEnnv3GBqVnCtmpGEyqvjmUMOwKmabw8OhsjZWzkjjwT/vQRD93xMlY6MZlxGBRAJlNV3MKU7k928fJTpMx5IpyeSnh/GzP+8dlCpW09zPb98o5Zm7p6GUS3llQxnHz100j65rMbOttJGf31zMky8fwKhV0WtxsXZxNn/+8HigeAJ+r6efrS3iufeOsWJ6CttKGwJKV69PYMfRJtq67dx33bhAgidAXIQeg1qGyzX8eR7FKP7TMEoAjeJfRn2recTo3u8awoM0NHaMJoGNYjDkcimnakaO7q5v9bd8qKQgSKU0d9vYf7IVi93NjPFxBOmV/HBVPjaHh4q6buQyKfGRBgxaBYsmJ/PNofOs311DeLCGucUJVDf2MyV/5GSn8GANSrmMqfkxAc+DS7Fiegp7TjazfFoqT7x04JKPLCdvbjpDXloYtywdE5hfKpEgCiDYv8UEXRSGeBYoo5LRqKT07flg2EVczedwWfrpF7RErbwXpDLUSXnosiYjVarwOSyIXo/fPwgGkT8X4O3vxF51BE1yHqLPi1SjH3ZAKQ+KwOe0ETz7BtSJY5kkNXGqqYcMZyua5DwcdSfxmbuxnNqOIX8O+txpePs6ENxO3B31OI9uRhWbRuhANDxKLW/tbmPj/pOIIqyYnspbm86wYGISE3Oi2X28GbfHR2F2JJPGRnO2vge3x8dbX51h6ZRkXl5fxo6jjRh0ymE9oJo6rBw918HM8bHsPNY85Pf89HDOnu9BFOF4ZSfHKy9+CC+enITD5eP+NYW8/dUZ3vrKf97kMilLpibz2K0T6O538uG2SjoHjKH1GgVrFmQRE6bn60Pn0ajluD0+7E4vB063UpwdSZBBhXSEpKvvEyQSv4n63VcXIJdKOHu+F1EUiIs0cM/VBew81kxbj50n1pVQ09yP0+0lMzGEMJOaE5UdCALkpYVx7NxQw2+AouxIbA4PWw4Ob+S992QzS6cmDxpY/HX9OZ6+eRXK/k48bRcHqVKtEfniB3npsybuWpw4bCrQBXj6OlDHZaGUyxDsHXRXDE8euo9vYtxVU5Ep5Xx1WmTlDb9EdFjw2fsJmrgcU8lKv5pOFLDXnKD9s+fA50X0uglbdAdIpEgU/hYY25n9AMj0JjTJBUikUixluzGOm0voojvx9Xfi6WnFcmIbrtYavP3+c2Y/103QxOUYCxfirB/eBN84bh7dX/wV0+K7uWVpDn947xj9Ax4mB0638vi6ErYdaaCuxUxkiJa5xQmU13VzqLwN8Hu1PPfuMcBvaq9Wyvjm8HmMOhVnD/mN89cuzmZqQSxOtxfdZd5+d6wcS1u3jWfeOhLwikqNDeKHq/LYcbSRrMRgYsL0rJiWwvpdNcRH+Y2nT9d0Ud3Ux/RxsVwzLwO708u20gby08LQa5S8sr4M34CnSGyYnjtWjqW6qY8XPjmJ0+3j5zcVs+dkM1/tr8fm8DA2LYwHbyjio+1VdFtcRBpVoy1gw0Ai8ZvfX276DWC2ualt6Wfx5CQ27a8f9JtJr2L5tFQOlLXy+LqJ6NQKtpU2suNoIz+4Mo+ESAMNl/mxfXWgnvxEHfSP7PsmkcqQtJ0drGyTyQmasAxNwhhEUSTqmkcBkIdEY8ifjejz4rObkSpVCA4rXksPqtgMgqdf4/ejcznw2fpQx6XTsf4PCA4r/Qc3oMuahC69GNswBDKAKiKR/qNfEVS0aKDA4kQRraXRLOOpd0r5w41JgTa0oRDpa2vlDx904HL7KEgP47F1JXg9AhKp/1681Cw6Lc5EZqwOq0vg8JlOymq7A6mS4cEafry6gD0nmnl1g7/demJuNOnxJm5dmkNMhI7IEB3bjzQMGynv8QpsL22geEzUIPLnAnrMTr45dJ5xGRFkJobwjw1l2Jwebl6ag9vjo7nDSmSIliC9iu5+B26Pj/4B1c/lOFPfg83pDaSzSqUSZhXF43QLw+S8jWIU/5kYJYBG8S/B5fHR0mVjzPekpSoiWMPpuh48XuGfxtCO4j8HgiASbBgapX0BKqUMqRSQSTl6poM3NlVw7bxMZhXFUVrezq9fq8TrE9Go5GQmBHPlrDS+OlDH+MxIXtlQxtT8GGaOj6PP6uLFz05jtrkJDVIzaWwUB063DdneDQuz2HygnhUzUokN1/PF3lpsTi8hRjUrZ6Ti9vgw6VV8trN62I+sU9Vd2JxeokO1tHbbcXsFtBo5Es233KcyORKp7OL/JVKkk25AIfEFksCGg9jTRHR8OhLBhLn0SyQKFYrgaHp3vx+QvktVWkLnr0OXVYLt7NAPXPu5w+iySujZ+zGh824NRLcHdkWuJHz53Uhkcnx2I+ZDnyM6rGSkFaFNK0Qdm467u4nQOTfjaqmka9PfEJw2lBGJmKatxmvrQ58zhc6Nf6Fvj99DQT9pFfXtiQGFSFF2JA//dS/7TrWQFG1kQk4UCpmU8rpuNuyp4b/vmQ74iZ2wgTjp/PRwth9pBPzJRFPyojHqVDS2Wyg908620kYeWltEbYuZhraLA5CMhGBuW5HLz/68Z+hlkEqYWRiP2ebihY9P0t5zsb3E6xPYuLuG6QWxPPHSAaLDdNx5xVhMBhUSJJSeaad4TASlZ9pJijYGPnzP1vdQPCYSURDx+b7/lU9BEMlICKa6uR9RFEmKNhJqUtPUYcWgUbBxby12p5fdx5uIjzSgkEnZsLsWl8fH8/fPoLqpn+sXZnGqumtIm09CpIH4SAM9ZueQ3y5AFKGz14FMKgmoC1xuH4++eYYHrrqdNJMPb3cTEn0IbR4Df/28AbPNg1KlQhEWN8h/61Iow+JRJYyh66sXMObNHvH4RZ8HvcxDeXM3S7JE2t5+zN+aCf4B6sTl6LMm0fbR7wa1Q4o+L56gOCznz2IIMqENi0SXOx11dBpStRZb5WFEnxdTyQrUibmIEintn/33iMo8W8U+9LnT0aQUDPE6Ucdno4pOw93xMvZT25DHzguQPwAHy1o5UdnBnVfmMW9CIqUVbbzwyUksdg9KuZQbFmVTWtGOw+Ul2KDixsVjaGgzM6coAbPNFSBFn37zCMVjIlgwMQmNWo5cJsHrE8lLD8Nid7NhTy3gv+fmT0xAr1HSY3Zy5cw0ztT3UFbbTU5yKF5BIEh38R3gcHkHEYBymZT2XvugaTuPNXHsXAcP3lDI+l01CCL8aFUen+6sDrS9ABw5087Jqk5+flMx5873EJEfO6LS4z8SUglun0ifxTXovF2Ov396ir8/NIeS3Gg27q31t8ymhZGZGMxz7x2jrdvO57tquPOKPNq6bfRb3by16Qx3rBzLL/9xcEi7bF2nk7TIVFxN54bdnioxF8/5E5fsp5yIFfdiPb2T/gMX1TaK8ARC59xEx2d/IGT2DchNkfTt/xRb+R6k+hAiV96Du+M81lM7QCpDl1Hs98G7kLYnCrjaagmatBJnSyU+y2AFqmnyldgqD+OoPoaj7hSRqx6k68sXcNSfIuyqCXi8AqL024NNJEoN3gES9ERVF39+/zi3rshBp1YgiCJ6rcJvpnxlCtrus8iadoPeyDXXz6LGrMI78Jz74ZV5/OmD43T3Owk3aZiYG4VSIePNTRUsn57KL185yC1Lc0ZMHwMQRDHw3hwOB0638uPVBYQGqfnHAMn0+7ePYjKoCAvS0Gtx0t3vZNGkJGIj9KTGmfh4e/Ww66pv6SfEqMZsc3PPNeN4d8tZUmODmDU+DumoE/soRjFKAI3iX0NjhxVBhKiQ77YB9AVEmDQIgkhrt42ESMP/690ZxXcEPp9AfloYUgnDJsDMm5CASibF7hZ448tyHrihiJ1Hm1ApZLz3zcWPR4fLy4mqTirqunny9knsP92Cy+1jW+nQj53XvijnD/fNIDXOxBd76ugbSC65cmYaJ6s6+eZwA1/ur2Pm+Fh+f8903B4fVruHL/fVsf90Kz+/qZhn3joyZL0XsOdEM3etLuAXf/dX+HcfayZuRiyK6Aw8rUNTNQz5s7EPDOKUsVkoJ1+HSx+F3W0d2VwWUBqCsVfs8asNqo8RtuhOOj79/aB5BJedzi/+StTVD2OvPjY0ylbi/8dnN2Mt3+Ofr+YE3l6/ObQmpQBRlGCv2E//4Yv+KY7aE5j1wUSveYKo1Q/js/Xj7etEcPpJE3fHeTo++T3hS3+ETD+Y/BLNnUSFZnOqmoFB48Xjq281U986mPSy2T3EhOlo6bIhkQyuH66YnkJWUgg7jzZR12ImNc7EE7eVsPNoAxa7mztW5KJQyOjud6LXKnC6vHi9Pm5ZmsOrG8twDsTnBumV/ODKPA6VtZGdFDyI/LmAsWnh7D7exMzCeLKTQvhwayWt3TbkMglT8mIw6lQ8cP14Nl6SLhZiVHG+rZ9xGRHf+Vbd/wkUShntfU5e3VBGx4ACCvzpeEVZkQGPFVFkEPEGUF7bTVJ0EDqNgmfunsrrX1ZwuroLlULGvImJTC+I5Rd/38c914771n1Qq2RDWktsTi+/fLuCZ++exu+3NBIf6WJyXig/vNJvhPrVgTquKF4NX/1hyPqkaj2atPG4u1pwna9AWrz0W7ev0mgYIxfofOfXl6RwAT4v/fs/RWGKIGz+LbR/4r8X5cHReHpacIca+NUOKb9cG4+3dD3Ggjn0H/4Se+XhwCoc1cdQRqYQceX9RKy8FwQRa8Ue7OcOD9oHUfAhej3oc6ahz5mGvaoUURTRphWCKODp85sxe1vP4QmbOuQYnG4fz79/nJLcaG5cnE1mYgg6jQKpVMIXe2o5cradm5aMISpEyzeH/fdSTkoo8yYkEBehv4Tg7GXNgmy2HjrPvdeN57l3jjK7MJ5XN5YDcPXcDIw6Je99fY7ufqf/Wk9IYOm0FPaeaEarlpOXHkZ0uC5AIF2OGeNi2X9qqFrEbHNzqLyNojFRnK3vQaOWD0tieLwCG/bUctXsNLrNTkJ1itEkMECUSDhR1cXfPj1NfKSeiTlRI88r+t+xf//0FPevGU91Ux97TrTwwSUpUaIIL39+mkdvmcDBsjZaumyYDCp+cetEPvimksqGXgxaBXMnJJASG4JHOx2Of+1vmbwUEilCXAES68VraRg7A3tlqd+sGQm6rBJ0YyYDEkTBS8j8W2j/8HdEXfUzbGcOABA272Z6tr2Jq/WiKtBeeRhNSgFh826la/NLA5uT4XPZibzqZzibzuGsP41UY0CXUYzjfDmW49/4F/Z56T+4AUP+HPr2f4rUbUEmldDrURIelYK7rXbIeZPpTbQ5FIOeV2cbepHLpLg8PiZkR5EaZyJGZYdNv8V9yTFTsZvcKVeDZg6/vL0EhVzGHSvHIpNK6LO62HOiBYfLS356GGqlnB+v9rdHhtRogOHJPL1GifUSD6LLIZFIiAnXoZDL0GkUAb+iPouLPstFP6VgowrNQFDCpWmQcpmUKXnRJMUEMTY1jOSYIBwuL3qNgoNlbRwsa6N4TBRGlWzItkcxiv80jBJAo/iXUNdiRi6TEG76frSAXajcN3VaRwmgUQyCWi7lgesL+f07g1OFUuOCWDEtBQlQVtvF/BK/BD03NZQvRjCadXsFztR3k5EQDAw/j06joLa5nyCdkh+uyiM6TEdpRTtvfXUmMPAXRdhxtBlRlBBsUFFe18Pc4gSumpMOor91zecevpKsUsow6pT88o5JvPf1WQ6UtbJ4SjKamT9Ac+jNixV7qRx97jS06cUI9n40SWORhiZy4LyP3sZu0qK1RGWWYD+7f8g2pGod6tAopF4HnZv+jiFvJpYTW4c/waKAtWI/2vSiQNtJ4FxklmA5sZWwBevo2PAn2j74LZqkscgMIXi6W9Ak5oLgG0T+XIDP2kvv7veRqvVYy/diHDeXsMV30rXpRS54O/Tu/YSIK+8fvGB8HvJ6PxmSkRCMVvXtr0GZTEJEiJbMxGCCDSp+flMxOo2C4uxIyuu6efrNi2RcVaPf8+OJ20oQEdFqFLjcPnrNThxON1Fhemqa+mnttPDf90zHavfgdHvpt7n5dEc1Lo8PpWJ4oiYyRIPD5WNMcgh/fN9v4psebyJIr6K6qZ/6gcHRwbKLg9UlU1M4XdONTCoJVHK/z7C7BZ5+6widvQ4SIg3MKorHqFPSY3ZwvLKDmxZn84+N5UMIGvB7yKhVMjburqEgM4KrZqVx85Ix9Flc6DUKHv7rXnyCSEObhfR407BJYdFhukERypdDpZRhsbvp6HEgk0qRSuFUdSfzJiQiU3gxzb+d/l3vIA6khinC4wlZ+hMO1blIrVgPiPjs/ciDIgItV4PWH5uFAxWyhr2DyZ9L0F+6ifAlP0SiUCORywmbfytdm1/GtOxe1EoZotOCPmcq3r6OQeTPBbjba7GW7cJRewp353mM4+YTtuhOur56iQv3lTY5n54db6PLLKH/0AY0SWORSCT07n4fwWknYvnd/gQyYwRIh/oNXUBNcx/nzvcQYtTwt09PsmpWOtfOz2T13Ax2HGkc5AdT1djHttIGHr6xmKdeO4zD5cVi9+By+wgP1mLQKPj9PdMRRD85k5sailYt55X1F9MBXR4fX+yro6HdwuLJSQTpVWQlBlPV2MfP1hbR2mVDp1HQ0GZh+5FGQoPULJuWQl1LP/GRenYcbaLxkpaiY2c7WFCSSEyYlnP1IytYTlZ1csvSHGqa+ghLC0X8D2eAJBLotXv480f+VsqGNgtrF2WPOH9+ehj7TrbQ0mWjx+zkxc+GN8EXRBGXx8dPrikgOlRHj9mJSaeiKDuCK2amIooiyTFBbNhTyx6LnRuXP4Rn+0t4zf6WJJnOhGLGOt7e1cKqCSVweCMgok0vpP3T/waJlPAlP8TVVkfnxr/4la4yOYa82USsuAdb1RG0aePwWXrw9LQOIn8uwFF7Al1WCXJjOF5LN8rweDq/fAEEAdOMa9GOmYz97CE61j8/xETa2VCOsWghAKJCQ0iQGkGpQznnh/jW/xqfte/iOVZqCF75M57+YKjqsNfsYsOeGk5WdfHUukIUpz7HaR3692ve9yFBKcU8/dYZ7E4vNy8ZQ1VjH/tOXWxPr2zoZVup/533l4+Oc+28LPafGt5vMC5ST0KUgV3DtEYDTM2Pwe70olIILJiYyKc7h6p7ZFIJhVmReL0C6/dcPL+ZCcGsWZjFrmNNbDlYz4HTrayckYpRpxzUTr/nRDMrpybj8Ywq8Ubxn41RAmgU/xLqWs1EBmuRSb8fHbUqhQyTXklTh+2fzzyK/yyIIlnxJv764GxOVnfSZ3ExNjWMCJMGOSISiQSn20tuaijrd9cwY3zsoBjoy9HQZmFOcQIqhQyfIKCQywa1a82fmMjOY000d1p5aG0R+04OrmReir0nm7l/TSGf7aqhsqGXaQUxlORGMTU/Zlh1EcDY1DC+PnQej9fHT9cU4vMKeAQBjzwIQ8lqjIULEX1eJDIZ9sojtH/424DKR7jiN+w63k1STBBPvXmS391yBareNjztF6uLEpWW8BX34LV0+b0N3A7khlDsNSdGPCee3lbUMemDpslNkejyZ9P66kO4WqsJX/xDvNZevx9KdCoSmRzLqR0ogiNHXK+tspSIlfdiObGV/sNfYBi/AH3udKxluwDw9rUjOC5eK5kxDG9ICu3H/B+E6fEmJFJIjDJwvm2oR1hOSig+QeSmxWNo77HxX68ewmzzq5iev38mHw5z3VweHy+vP81NS8bQ0mkjxKjGYvdQkBHD8cpOjFolIUEa/vj+cVbOSOXZty/G8hp1SiKCh1dVdvc7WTIlmVc3llOQEc7K6amcqe+hq99BQXo4ESFaHE4vD99UzOc7qynJjabf6mJ6QcwAIfL9eFZ/G/osLrr6HNy+IheAPSebWTolhcgQHeW13ZgMKh69ZQL7T7eyrbQBtVKOy+MjLEiNSinzGw839lE0JpIdR5vYcbSJqfkx6DQXq+Trd9dw/5rCIW14IUY1D99YzK9fPzTsvuWlhaFSyHj27mm0dtlYv7sGiUTCpLHRCCI8/sYp7lyRR9w1OcjcdpRqJQ6JhjZBTVykC2m1P02zb/9nhC26nc6Nfx3kQSI3RRK86Ie4G47haq8f8Rx5e9sACaELb0Om1NC99XW8/R3YvHLuu248KtGM6HVjOzf8cQDYKvZjyJuFq/kc/Yc2YCxajG7MFGwVe9FlTcLd3YyruZKgicvx2fqwll9saQydvw7zsS0ACNnzUEvVI6prFg6Q6pmJwVw9J4P0BBO/+sch7rxiLF8dGHqMFruHDXtqmVUUz6YBEn77kQZWTE/lcEU7TR0WclPC+MWtExAF+PNHJ4Y9vlPVXVwzN4O2HhtalYK0WBO1zWa+OdxAr8VFVmIwT9xWgl4j57UvKyiv7SE0SM2iSUkIgsgrA+0papWcrMRggo1qtn1La4tSIaOzz05kiPY/nvwBv6n/hRY9AJ8gcrKqk0WTkoZcd61azg2Lsnnq1UMUZIQTbFCTnRQyKHgB/ObA9147njP1Pew92YxPEFmzIItN++s5cqY9MJ9cJmHm+DimFybiDdVjvOZJnOZ+nC4PnU457+5qo6qxH6kErlv4Iyxf/x1REEDwYcifg7Pp3OBih8+L5fjX+Gx9aFLycQOqqJQhxY5LYTt7EE3aeGRaA+ajm/F0+v92zIe+QJ2QjX2Ee1MiV4IgoAhPQGUM5vFbY2hot7Cp2sHcFU8QZG/F2VqNRx+F3ZBAeb922FZxEDk94H0o99lxVo78LHBUHSUuIpLmDguRIVpev4SUvYAes5Mv99WSkRDM6ZouVs9J5+PtVYNIukWTkujsdaBUyCjMiuDo2cEEd5hJzZziBARBZOexZuZNSKC2pZ8Tl3jkKQaKdRJEqhp7WTkjjdYuG71mF9fMy+A3rx3GNUDstHXbeeatI8wujicl+mIKptXhRvL9fxWOYhT/1xglgEbxL6GmpZ+EiO+XkibcNGoEPYoRIPqNnidlRyKRSPD5fIiiiCiC1yuQkxJGR68dUYSOHoc/eaZ1eH+c9IRgZMB/3zOd5k4rNqeHYIOak1WddPf7lQuf7KgiSK9Cq1GM8IHmr3SFBqkHeVbtOdHCzMI4ZoyL43R1Fxa7hwWFkUzKMCKViDhFJQaTGr1GSVpckN87Zm8tO481ERak4bc3ZdL+2hPDenso43M4cN7BwpIkjDolGfEmlEY9til3ofP1Ie9vQm8KRiqT0bvrPVQx6WgzJiBV6/H0d6IMi8XbO7yxpjIyBXVyHq7WWkSfG1X2NOzhuWw4YWXBzb/H3VaLpacbMSKdJnkmoWo5QeYapBo94rd51wg+LiU2LCe3EXnFTwMEEBKp3yBTIkWVWoh33FVYJQZuXJzFimkpWBweWjqt3HPtOH7/9lFaLiH2kqKNXD03A69X4FdvH+Te68YHfgsNUlNR2z1s2yD4FZIut4+UWBMP/Gk3BRnhuL0+EqMM7D/dwsGyNkpyowcNTMCvXFAqpJgMqkGSd/AbRt+8ZAwGrZI5xfE89dqhSwbVjZj0fvJj38lmrpyVTlefnd+8XkpStJGf31TM94SrHxESiYRei5OlU1OobzWz/Ugjj94yIRD3ewEqhYxHbilmTlE8XX1OIkI0aJRy+qxO4iIMJEUbMOpU7Djqr4wXZIQHEtQA+q1unn//ODcuzkYmk9DebSc5JgiPT8CgkfFf12dhttjpsgp8fKCDmuZ+DFoF187P5ERlBx6vwCsbygPrO1Xdhcmg4vF1E/loWxVj08Jo7nCx5eC5wPUbkxzCI/MW46g7ibevne6vXyV03i2IPg/e/i4U0amcdwYh6zND2S50WZNGHGAqwmKRyJXYzh7CUVXqPyfJBSgNJv70cRnxoSpunKBG9I7ciiF6Pf5kogFYTmwlcvXDaJLHIrpddG99HYlMgSI0FkP+HFztdShMkejHTvdvt6EC1azb2FTmoLGnmgeuL+T5D04MetbNKvSrt6oa++judzImOZSymm7S40yU145szF9a0caDa4vYtK+OrKRgxqaFcc9zOwPnclup/1548vYSpN8y0mvpsvHZrio6e53MKYxnRmEcoihic3g4eraD45WdPHh9IY1tVmwODzaHh5c+P838iQksnZrMF3vrmDchgb99epqfXDOOCWOi+OCb4Yn8ucUJCANx86MEkJ/waeseXERZv7uW6xdmcf9149l5rAmzzU1WUjDTCmJp67by0I3FlFa08dH2KnJSQrl6TgbvfX2OcwNJcj+4Mo+9J5spyY0mKcaIzyeSEGWgvKYLAKkEQoM0eHwCW0sb2VrayOzCeIrGRBARHMFTbx8a9Mz95lg747LyKL71WfC6kcgUaDOKA62Vl8NeeZigkhXYq48iN4b+0/vLULgQ2+mdWE/vCkx3tVYTPHUV/Qc+H3Y53ZgpOFsqEWfdxfk++HDrSZo6rCyZEIXFosChCMeXGM+5Vjuv/KOcBSWJxEcYBqVoJUYZMGiV/OyGItweH3qNF9+3+VL53MhlErKTQ0c0zwfYfbyZZ+6exm9fLyUnNYTf/HAKHb0OrA43KTFBnKru5L2vzyGKInesHMvEnCh2n2jG5fYxLjOCrMRgfvdGKZ19Dq6anc7p6k6WTU1hxfRUGtstKORSokJ1aFVynnj5IG6PQHSYjqVTk0mMMvL6F+UB8udSbC9tZOm9yYE27sljYwKeSKMYxX8yRgmgUfwfw+rw0NnnZGL2yJX57yLCgjSU141sUDeKUfhGMH8N0ipwuJTIZVK2Hm5g9dx0/vTBiSHzaVRyUmONNHZaefbto4EoY4BZhXHcuHgMj/19P6IIS6Yk8/dPTrF6TvqgaqhMKuHquRmkx5to77Hj8fjTZT7fVcOZ+h4qanuobzVz11UFJBtdOPa9j3PjYRAF9LFZKKfewNzCGFw+Cc+8eYS6AaKqwWnh+fV13DbvRzi2/GWQt49MF4RYspamIxbyczT89PndTM2P4bRexaZ9dWhUcn5zcy6erc8OKAzA092KIW82xsIFmI98Rfjyu7FXHWVItK5Uhn7MZJyNFYQuWEebVcILXzeyeLKSt7acRKsdS2t3EDJpCGNNRvadaWHexETOOpKIjk8hSWuDQxuGvS7qxFzclyQv4fMiXvIxq0mfgFUTjWfFr9lVaUFR42FmoYKapn7MdjcxYTrCgjRUNfXygyvzsDu99FqcA6odN4Ig8O6Wc/RaXHzwzTkWTkriw62VSCTg+x8M5M7Ud2PSq5gxPo6XPz/Nj1cXcLDMf/4kI/hOvb35LPdeO46/f3qKtm57YN7pBTEAXDEzlT+8d3yIoqLP6uKVDWVMHxfH7944zBO3T0Ipl1LfaqaysY/QoO/X8/pyiKJIZIgWlVLOL185yNT8GA6WtQ4ifxRyKQ/cUMinO2o4WXWxchwdpuMHV+bxwscnmTcxMaDiAv+gsCAjnJ3HLrZK9JidvPFlBTcvzSE7OYRes5P8OCXekxtwHf0KpctOQlAEP59xDe3qfHxyLVIJvLnpDI/eMmHIvvdZXBw43UpUqBabwzMoYh6goq6H032ZpGZPwXFmH56eVjo+/wNSjQFtZgkdERM43mhnvuIo1pYqQubchEShHjb9J2jCMtzdTQQVLcRRexxVbCbOohuobXVSVtNNfauCFVPGYxgzBUfdySHLA2jTC3E2XCSx/N5dIr17PsJn9g+odWNn41QG0ZC8HHmCk+gQDX2dDegzJ0HBCt7Y0czugVaQvLQwHr3Fn2DncHmJDNFyorKDFz7xb18QRSw2N6UV7SyblsyJyq6R/w7wJ99JpRJWTk/j+Q+Gvxf+/skpFk9J4t0twxv9hgSpuW15LjanF1GE6qY+7r56HLXN/by92d/y8t4351g8JYl/XELofX2ogSduK6Gp3UKYSTNQCBA5UdXBVbP9yodLERehZ9HkJFraLWgUEjyeUQJILpOQlRg8xDPpnc1nMRlUrJmfiUalYNfxJo6fayczMZTH/r4/oNI7XN7GBmUtD1xfyGsby5FKJShkUnJTw/jj+8cDRKNcJmHVrHR+flMxSoWM5g4rKqWMEKOaTfvrUCqkGHUqVAopP7m6gOqmPirqejDpVZTkRmO2uUCmxN1ajT5vpr/t8nLPoEsgepw46spAENCmjaf/8PCtUBe8siRyBaZpq3E1nsNRfwoEH7bKUkzTrqZvz4eDllGERKOfuIKT9TZ27uslJtyN3eXh2ZvSkJR+gGvDSUBEk5jH7Nk3sS/JREiQmtpLkiqTY4zcc804/vThcWqbzeg0Ch6+NofwhFxcDWUMBzEuj9od5xmbGnb5m33wfCI0dVh44IZCHE4vdS1mgo0q8mPDMdtcaFQKHryhiI4eO699UcGksVEsnpxMTVMfZTVdg9S0H2+v4he3TsDrE9iwo5YJuZF8uqOaZdNSOFDWytpF2Rh1Kjp67ahVcuQy6bd+2x843cp9a8bzxhcVxITqRpP4RjEKRgmgUfwLqG3xDyijQ3X/j/fk/wzhJjVmuxuzzY1RN7IvwShGIZNJcXoF7C4vCpk/hjguXMeiSYls3FtHU4eVW5fl8N7X5wIfm1GhWm5bkYvbI/DMW0ewOQd/KO442kR0mI7f/Ggyp2t6CAtS887ms1y/MItxGeEcr+xEIoF7rxvH7uPNvPf1xYGLWinjx6sLkMukyKRS+qwudIIZ88dPD0oOcTefxf3xk0Te9DS1ncoA+XMBh891o1GFs/a63yGtP4Svtw1JXC6+iEya7Som5uoCA5gp+TH88f3jqBQyUuOCMCgE7Jf4BIgeJ+2fPEPk6p8jeFzYzh4ibNEd9Ox8F8HhH5TL9MGEzLmRvv2fElS8BMHtQNbTwcKCiMB6vj50nkljo3l3yzk+31XNPdeMo7S8jTEpoZhdXg51+shJLcZTUzroWCRyJaaS5XRs/Mtl0/2pKKrYDIJm3YDZbMOkhismx9BkkXPXM9sDxItU4k83iQ7XU1bTRUluNBIpSCUS5DIpr228qC6pqOvhiplpAHT1OYkN1yORMKwXRWKUgfYeOwq5FJ8gIpdKCTdpBw14Kuq6Wbc8l13HBns0tHbZeOHjk/xgVR4KmQyzzUVilJFtRxqwODwBQ9ThcO58L1fNTkcQYdexJibmRrPnRDP7T7VQkjuyyer3BUE6ZaDiXzI2mj9fQsKaDCp+tCqPvSdbBpE/cPGcXj03gz9/eIJf3jEJo06J2ebG5fbh8QpkXjIgDdIruefacbz46Wlau23ctjAJS+UmPDUX/Z68/R14N/+ZuIU/oCWogP9+9xh2lxetevhUHn/CTT6/e2N4A/dnP67kTz+6GnXmbBTt5cjUOlwhaUhN4YgOOSqliwsF7p5tbxB17aN0bvwL3gHDZYlSQ/DU1ShC42j74Cl06cXE3PRbv1JgbzuRIToeXJVOdpQCndiPPC4TRXh8oP3kAmQ6E9q0Qto++M2g6aLXEyB/5KHxSAqW0+eQcPhsN30WF/tPt2LUKbn76gL2H21hZnEyE/Li/dH2gkhPv4MXPzuNUi6j3+YadN+U5EZzsqqTFTNSae6wMCEnkvW7h/qngD+1r9fs4uEbi5DLpCPeC2cberlh8fC+Mjq1nLAgDXanmz99cJI+60WiPi3OxAPXF/L0W0dobLeQHh/Mz28qRhBF5DIpp6q6sDk83HlFHiBy5xV+Y9y3Np1l2bQUHr1lAkfPtGNz+tuGdWoFh063UdvSR3JMEKP2s+DzCsyfmMim/fWDTHzBr4IMD9byuzdL0ajk3LxkDA8N+HNdCpfbx6sby7liRirtPXZ0WgW/e7N0EKnu9Yl8sLWSh9YW8cLHJ+nudzB9XByT82K4anY6eq3f76mirpt3t5wjIyGY5dNSaOqwcOB0C/np4XS1tqKz9WEsXIjg/CcWAlIZ+Nw4ak8SNGkl1jP7hyR7KUJjkZvC6T+4HkVwFPZzh9CkFBA0cRldm1/CcvwbTNOuIeSG32Er24XMZUaTWUKzGMnjf6+gq9/JD67M4+NtlTx5XRreDb8ctF/u86foeudRHrj61/RgJD3OhM8nEh+px+MTaem0ct38LCrqutl84Dy//6iCP950Pe6WJ4aENChSiznd5jdtP1Pfww9W5bH1cMOwh14yNorYcANbDtazaX99YLpcJmXd8hyqm/p4dWM5mQnBPHB9If1WFy9+dmpQQiBA8ZhIZhf6nxtBJhU5KSHERxjo7PMrr9cuyqK22UyvxUlXn4OPtlVyz7XjRnwXg/99vu9kM/ddNw6pIIyasI9iFPybCaDPP//8n86jUqmIiooiJycHpXJ0kP5dRG1LPxqVHJP++3V9wi8xgh6j+37E14/i3w9RIuFYdRevfVERUApkJARzz9UFrJqVhlwm5Ys9tTx+20TuvXYcoug3Cu4xO/l8Vw1T8mKGkD8XsH53LTPHxTEhK5z2ATPZz3fVcNXsdPLSw2nttFLfYqa0YnBrkNPt44/vH+eRm4sBOHauHV1PJW7LMFUvnxfz/o9xxa0cdh92nepkX0U3v7xtHrs6m1iRkMqbm85QVtvN9IJYbE4PRp0So07FDbPiKYyTIWk8jqyunogV/ljb3j0fgSjgs/TQ8uqDGCcuxzRpJV5rL9HXP4HgsCK4HAhOG/0HN+Bur0M/Zir2UztxV+wlKb0E2eS1AAOmj/5hkSjC3z45xQM3FLJpfx13LUvFbVARlLUGb0YRliNfIDisqOPHYMifTe/eDwdF1asTcvG4PahXPoIpJISe9c8F0lGcuiBCptzAspIY1h/wV2YFEf76ySkeXzeRgoxwzrdZ+NMHxxEG2v+GnNpLlAb7TrVw9ZyMIf5NcpmUNQuyeOPLCm5bmUuP2TngOSCiVEjJTgphxvg4dBo5JoOKKfkx7Ds5uFLs9gpEmPz+DVKJkl6Lk7oWM1q1nOhQPeBXlE3Oi8HrE1DIpbR02vhsZ3Ug1aypw8rqOensOdGMSiH73vi1fRukokiI0e+VI5dKA5L/6FAdd17pNyLec2J4g9H2HjtalRyVQsaG3TVMK4jly3112JwePt1ZzdpF2TR1WNh1rJmlU5N5a9MZWrttyKQSxiWo8Bwenrgx734Xz8x4OnsdjMsMHzKgvQCVQoZSLhtENlwKQRA5UmtjQlIQUmM0Ync9yNqQGk2U1/VR22ympLgQSj/H1VKFo/Yk4ct+jEQqQ/T5kKq1uDvO0/b+rxAcVuy1xzGMX4BaIWFCWhAFyUbU3WfxNbTTXroJiVRG+LK7cLXUYC3fg+jzos0oQpc+wZ9QdIlCUJOcDzI5msIleKNyaPOZCBa1VNX6SVNBFDlU3uYn1Dw+9p9qZcfRJmRSSeBeuuuqfFJigii7rL0rxKimJDeKncea2Hm0iR1HG7nvuvHMLoxn+9HB5JRWLWftwmx+8/ohnG6B6+ZnDnsuLz3ncRF62rptLJyUxLiMCDxegcgQLR6fjzPne7llWQ6CIFJa0cah8jaqm/r4+tB55hYnkBxj5FB5G1/urcXtFZBKYEJOFAtKEnF7vFidXuIi9EilEqQS2Linli0H6hmbFoZKKePTHdW099i5dVkOzZ22b1VQfN8hlUrwiv5nqgRQyiQjKmoBdAopv7pzEn/+4AQtXTakUgnTCmJZPDmJ3cf9rUFrFmTS1m0LpEFdjtYuG2lxJtLjg/n60PkRW3LX76lhVmEcMeF6zp3v5dm3j+DxCkilEm5dOiagkqls6KWp08rh8nZuWJTFb147xJ9vTqZ357v0HdxA1KoHUMVl4Wo6O2QbitBYpAoVEasexFF/GpnOROSqB7GW7cZWWYpEIvWn5uVOpfW9pxB9HjTTr8Xdcd4fFV++h/Ald9H24W+wi0r+8kUrYUEFrJqdjsUn8NAfd6PTKFizIJO0eBMPrBmPtnErlmFIKdHthHM7KJNO4rPddfxsbRF7TrbwyfYqnG4fEgmMy4jgobVF/P6dozz7ZSuP3fg01kOf4TrvTyHTjF9CmzqFl97wK4OsDg+9Zuew/j1BeiXXzcvkZHXXIPIHwOsTeOnz0zx260T2n2rhXEMvO441snJGGvbLvpNuWjIGp8vLnz682C6anx5OydhoFk9OIjJES3VTP7uPN5MSa2RqfiyTxkajVcsZnzl0vy4gMzGY37x+mIUTk1B+/8MwRzGK/1/wbyWAHn744UCM7uV90JdOl0gk6PV67rjjDm6//fZ/5y6O4n+AmhYzMaHaIZHI33UE61XIZVKaOqyMSRolgEYxFDKZhKoWC89f1t5V2dDLoy/u5+kfTWHF1CQWTEzEJ4r84u87Bs2XmRA8KJ76ctgcHqxOD29tPsOiSUkE6ZUcKm9jwcREKuq6uWp2Ok+9Orwho9cn0NxpxesVSYnWI2veN+J2XA3lxI9dNeLvaoWMjl4HXx9qYFpBHIfK/W1JVY19LJ+Wgk6jIErnI8S2G/dnOwFwA2ZAlz2Z0Lk30f3Na4H1Oc+XoR8zhbZ3fzniNqVaI/Zqv+Gxp+oghuJlaFRy8tPDqGzou7jvHh8+n8C6WRG4N/0eV2sNHYAyKgXTjDX4jDEIgkjX+qcHeQ4pwuIRptzMn3e2c/1UEx3vPYngsAZ+99n68X39VxYt/zlVbSEkRWgQRThS2cOX++qYVhBLeLBm2AQp8A9UL1UbbD3cwM1LsvnVHZP4bGc13WYnaXEmZoyP4+NtVSydlkJjm5+cOnC6ldS4ICaPjUEU4ePtlfRZ3GQlBnP9oizmFsXz/tZKXG4fRdkRzBgfj0Ylo6qxlzCTBqfbx8zxcby6sYz71xRyxxVjae208fSbRwKET3KMkfvXjMcx8FEdG65Dgt/oen5JIr5v81L6nkAQRBIiDchlUupb+8lOCuFMfQ+3LMvhj+8d584rx36rvL/X6kKrltPeY2fx5CS+3FfH5gP1rJieyjNvHSEjIZi5ExJIjTPx4menAb+yiJ7hSSUAwW7GqPBh0CpYNSudqsbh06BuW5GLxycM6+8EEBmiZW6GjN4Pn8BzyaDOqdIyZcUj5KWn4fHY0Rcuwnr0K7z9HZhLN2E7e2DY7UlVWgSHBd+Hv6Zo9k1ImgUEr5u+fZ8A/laq9o+eRp2Yi2nyFahiM0Hw0fbR7wJKHwB5eCLOohs41CiQkLSE5z84zuQ8DVNMAog+PC4nibGhPHl7Ca+sL+NweRtTC/wm9ZfeSy9/fpofXZXPnOIENh+ox+XxMSU/hqzEEP70wXHWLs7mrwOpUM+/f4x1y3PJTQ1l25FGLHY3uSmhlIyNZsuheu5bU8gbX1QQETK8YTqASa+iq8/BlbPSSIsz8cn2Kn792qEASZCXFsYNi7L57RuHcXsEpubH8NitE/njB8c5cqadp388lV3Hmge15woiHCxrw2zzcPWcdJ585SBzi+NZPCWFaQWx7DrejNsrDBqISiT+FKtthxv+F9iwDw9RIqGm1cJbm8/S1GEhKlTHdfMzyYo3IRlBbiEIIkE6FUunppAcY0CnUbLneDMb9/jNhJ+9expatZzalv5By4UHa1hYkkRsuB6vT0AilXDkTPsQT6FL0d5tJ31WMEfOtLPl4PlB+3CwrI3spBAOMvAObOhlfkkiJyo78QrQ41Vj1OgRHFbaP/k9ESvvpfub1/B0X3wmyIPCCZ13K/bKUmT6EOSGUMxHNmE5vhVt2nhME5chCgL2mmM4WyoxjpuH5fROhEtSvnyWHmznDmIoWkR/VD55DifFOdG8tekM1y/KItig5p5rC/hwayXvbjnHDbPjmdp+fMRjdtWfJG78FB69pZiTVV2DWiFFEY6d66C738GNi7N54ZNTHGuVEp57NbFTrsXuFjnV4iItPIToMB1NHf736BtfVvCTa8Yxc3wcX+6vw+H0UpQdycTcKFq7bAFj9sshilBa0U5+ejhHz3Zw4FQr18zNID89jCNn/PdKbmoogiAOKaicru5k8341axekcbK2jz9/eIJbl+XS1m3jyZcP4vUJ6NRyHrllApUNvVjsg8nCZdNSOHq2A69PRBD/d4QhjGIU/3/g364AevjhhzGZTFx//fUkJCQAcP78ed555x0sFguPPfYY3d3dvPXWWzz33HPodDrWrFnz79zNUXwLBFGktsVMYUb4/+td+T+GVCoh3KSmsdP6z2cexX8k3ILfx2M49FlcVDb2kZcc7K8iSaXkp4cPajfp6LUzPyJxxPWHGP09+XtOtNDd7+TGRWP480cneP6D4/xwVT5SiWTIB8yl6Ol30tXv9JtUh5hGnE+mMWAMGrlFc1ZhPPtOtSCTSggxqkiKNlLfaqbP6iQ8WMMf3jvGb1cE4a7YOWRZ25n9aFILMBYvQapQ4bX0oBq3GFd7LaqYdFwtVUOWkai0SBVKRPdFcsx+dj/5aTlMzY/lw63nWDUrDa9P4HB5O2mh4Fr/37j6Liqh3G21dH78NIYpq+lPnkvYql8gWjqxdraCMYp6s5y/v36WEKMaZec53I4R7vPSD3lk6a3YD36CRCJh2eIZdMvDqO1xERWqZWpBDHtPDPVuWLs4m82XJNTo1HKSY4Jwe33cuGQMnT12alv62X6kgZUzUgkxqpBKpYSZ6thzopmnfzyVt746EyDbAMpqu3n0hX08cvMEpuTFkJFgoqPHTo/ZyfObznDTkjG89/VZ5k5IwKhVMrsogQiThurGPjburR20f3UtZv74/nHuuiofqQSmFcTyyvoy7lg5lhCDCpn0f0fpUyWVcN+14/jHxjJ+uCqfNzdV0NFrp8/qQoIEpVyKewQVTliQBovdQ3ZyCA6Xj4fWFrHnRDNuj4+frhnPu1vO8caXFfz8puLAMk6XF4nG9C17JMFg0PHTNYUoFdJBnkQXMKsonj6Liy/21bFkSjLvbB6qIFg3L47+jX8c0mYiuuy4Nz9PxDW/5KdvlPPEjYsxpRThqdiJPmfaiASQoWAOPTvfBlFAZQxB9Hno3vr6kPmc58twni8j4oqf0rvvEyKueoj+3n4ESzeqsBh6BR1/2VhHTXM/q2al8dSdk9FLnUh6zxPa+g00uvE4JpOaksvCSUmEGNXEhuspr+0OeFiBX9VW29xPRoKJO64Yi9vjIzRITU1zPytnpmHQKgOEkSDCy+vLeGhtERNzInG4fNQ29/PkywcRBJFvDjXw1A8nc6qqk5nj4wb5N13ADYuy6DY7aGy3cqqqi13HB5N4p6q7ePnz01wxI41XN5az5eB5TlR28ujNE7DY3Uil0kH3+6WoqOvGoMtBpZCytbSRcZkRfuPamm56zIN9mW5ZmoNKKWft4uwBVcz/Lh2QVCbl4Jl2/v7p6cC0pg6/B96a+ZnMK4r3p2gNA6VMQmO7GYVcyt8+2R8g5/aebAkYeRu0ykCK3OSx0UwbF8sn26upbupDrZQxf2IiS6Yk4/EIHK/sHHY7SdFGgg2qYZMzywcKL5/vrsHjFTh+roO1i7M5Ve1f11s7W7hv7l04v/xvBKeVjg1/ImTGdcgMofjsZmT6EGQaHQgCysgknI1n0KSMo3f3ByAK2KuOYK8arB4MmrAUo1yBu+P8oOn2ysOEXvcrelxazpxv5di5Tgoywunqc3DPNQW8/kVFIHzC4hSQqI0jXheZxkhUeBDnu52s31077Dzn2ywYdErUShlajZxn3jvJk7dPorXXhlwuQy6V8LO1RbR0WunodRAbrsMniHy5t46c5FBKcqPZsKeGrj4nTpeX7v6hnmQX0GN2YtSpAL8JeEunjaVTUjhZ1YXHKzC3OIHXvigftEx+ajB3zI1BVrsfx5cbSTfF8PcfzKKqT8JLn188JpvTy98+OcWDNxRR2dDrT9vUKZlbnEB1cx/vbTlHerwJqVTKEI/CUYziPxT/1i/CN954g9DQUF5//XXmzZtHZmYmmZmZzJ8/n9dff53g4GA+/vhj5s6dy2uvvUZ+fj7vvffev3MXR/FP0N5jx+HyEhM6cuXtu4ywIA2NHaME0CiGhyCKww7gLuBMfc/ARwRIRLhl6RiUl6R09VpcqBQywkzqYZdfPj2FbwZ66CvqeggP1nD/mvEE6VX85vXDdPTaiYvQj7j9hCgj187LYEZhPLqCeSPOpxy3hIPVNm5eOmbIb6mxQRRkhHPsbDuzi+LZeriBq2anc9dV+dy0eAyvbixnem4onpNfDbtuXfZk5IYwfPZ+7DXHEUUBqUTE09dB8PRrkOmCBi8gkxO+5Ee4WgdXB6VSKdctzEIigTEpYZyq7qKmqZ9r52VgkLqRqjQMV62zln6Bo6+bm549xEv7nViiCvnNxg6e+bgKs81NXIQORcfwxq8Aro7zSK0dOGqOYa8+imfzc4SXvcvkNC1VDX3MK07g+gVZgVajlNggHrllAtGhWq6Zm8G9147jZ2uL+OmaQoL0Kn77eikvfX6KIL2KMSmhTBpoiWntsuHx+vjFrRO5ZVkOdpd3EPlzAYLoJx2Too18vquWlm477399juqmPvRaBXUtZj7bWUNchIE+i4uqpv5BqoRL0d3vxGxzc/+a8XxzuIGWLhvhIRoMmuF9ab6rkEileAFBIkF6WeuaKIpkJ5h48rZJ9PQ7+en1hZwfGBTtO9XC3InDE7CpcUF09toRBP9g4y8fneAvH59Eo5YTF6FHpZCybHoKD91YRGSINpCaZnN6McuCkaqGf+epkvM43yvg9QnYnR5WTE/lydtLmFoQw+S8aO65ZhyLShJ5Z8tZymu70akVLJmSjFx28biiw3TkxqhGTNHzmjvBZWFKfgwNvfCTd1ppTV0OIbEYixYPmV+dnIfcEIq7beCek0iQKlSD2iUvh6enGUQfls42vGFpHHUn88xX3fzj60bmT0zk/jXjyc8Ip6ezE+uO1+n5+Nc4Kg/jqD2Be+sL9H32NDmRUn77Rim/eHE/Ny0ew49X51OSG8Wc4nh+flMxKbFBWOweHv7rXn7+wj6eeu0wOrWC2HAdIUbVIJ+qEKMah9vLqxsreO/rcxwqbwuou9xegY+2VjEmOYyVM1K5bUVu4JmbFG3ksVsnkpMSSmFmJDPHx43YFljV2EdMuC5wrdt77Jxr6OWtr87Q3m0fkUgEv+HtXVflo9co2Hq4AbPNzSM3F/PDVXmU5EYxf2ICv7h1Ai2dVp546QDxkYZvbYn6vsLpFXjjy+GLJh9uq8Q1cA7lcily+eAhh1wCy6al8uJnp4e0b/VZXbyyvgyPV2DljDQigjVMK4jlmbeOUN3U59+228eGPbU8+9YRZhbGBVqJL8eiycn0WlwBteSlEEX4aHsVj906kRCjGkGE97acIy8tDICzDf3846Ab+aqnUBWvRJ8zDVGuRDTFcJp0PqtUglKH7ex++g58jqerGalS/a1m0YLLjiI0DmV4wuAfJBJq2hy0dNro7HXQ2efgdE0Xb391Fq1GPih5dNfpLoScBSNuQzV+Ka9/XYtcJh2xhQ78bXQJUQZCjBpKcqKpb+nn168d5st9dfTb3NS3mDlc0UZStJHmThuN7VZWzEhFEOHtzWcIDdIglUg432YhNc404nZS44JoGkjh1WsUuL0+PtpexSM3T2BcZjhqpXyQH1B8pIEfzQzC9+kvcB1dj6P+FM4Tm7G9/3NSpa3kJgcPWn9Th5XHXzpAbmooCyYmkBBl4EBZC+lxJqaPi+HGxdnUtvQNeZ+MYhT/qfi3KoC2bt3KfffdN+xvEomE2bNn8/zzz/PrX/8aqVTKggUL+MMf/vDv3MVR/BPUNJuR8P0zgL6ACJOaM+d78AnC/5qK+Cj+/4NUIiHEqB5Sxb2AuAh9oH1VFEWCNHL++57pfLC1khOVnei1CtweH7+6YzJ/ev84ZwcMazUqOcumpuDziYOMgA+WtSIIIjPGx3FNiBafILJ6Tjp/eG+otDs8WINCIWXzgfP0WV3UGCTMnnwdrv2DSXJ1xkSalMlEmXSU1XTx+LqJVNT10G9zkZMcik8Qef6DY8wuSmBBSSJ/+egkn+2qYea4OK6el0FVYx+TM42Iw0jqVXFZaFLyaXvvv7hQSXO312Er30v48rsxn9xO2KI78fZ14Oo4j9wYhjo2A09/B/aao4PWFTRmEhKJi998eJL2XjtqpYyfLE8hVduN42wFusyJhMy8HsvJbdjOHgwsJ7odaGQCguivFFfU9fCLWyfy5b46okO1FKSHI20YXFm9FHJjGIJtcFuBq/4U+pw6xmflIYgwMUdFydgovF4BnyByvs1MfISed7ecw+3xMSYlhKLsSM7U95CZGMyyqSk8/vIBXO6LbVaZicHcd914fvzsdoqzI3EPE1F7AQ3tFvRaBQfLWplTHM/7Awbg5873Eh6sQauWc6CshYZ2CyumpwxKsboc3f1OmjutHDjdik4tx+0W8KhFFN8D5YFEKsHm8vHJzkrKa7sxGdSsmpVGaowR6aWtJKKIXillSm4kUpmUpGh/JXzvyWZ+vLqAhZOS2Hq4ITDgG5cZzvJpqby6oYx7rh3P14cacLp9gI9tpY1sK23k+ftnEGRQc7CsDbfHx6yi+IBi4NVtzTyw+Kc4v3gG8ZK2DbkpEsPsddSethIeLOfrQw3cvGQMn+2sxqBTopBJeXvzGe66Kj/QRvHS56eZVRjPwzcVo1UpcLq9tPfYMVu+3WBW7rJwRZoXwSRBrZTz2Ouneey6LDJCY4lc/RCO2pOIPi+apLEIHhcSpRqQIFGokOmDkcqVSOTKIUavFyDTByM4bWgiE3n4xQN09l1U65XVdlOYFcGM8XGkybrxVA9tU/V0nieo/SgvPjyPHrM/bCEzMZjspBDe3nyWv3x0gvuuG8/zHxwP+Gs1tFlo7rRS29zP1PwY5k9M5HhlJzaHh/R4E6erR46DP17ZwYzCOB7521EyE4K5e3UBJoMKp9uHxeZm84F6gvRK8tMjRmzrBOi3ulGr5AE/ktKKdjITQ5DJ/L4+Iy2qVSvweH3cc+04qhv7CDNpeOHjk8jlUibmRJGREMwrG8ooq/Efw4Y9tVwzK/V/XQS11eEZ0Yjb6xPpsbowaBQcK2vD5fExPjMCk04ZuJ8b2y3DEjPg/7tbtzyXOkU/968Zz8uflw3rzVbd3E97j53H1k3krx+fpLXLfy+Z9CruuGIs+0+1MLUgZkSj4PLabgxaBY/fNtH/nBZBp1EEjOIPn+tGq5KyZvoUJB1ncHS24MGAXhLEwlwtbW/+PBB8AGCcsORbz5ncGErH+j8RPPnKQdO1OTOotEtx+Tw8uy4Xe0sdnrYqMEaiVznITjRx5nwf4Fckn+hUUVCwCPeJwcUaTf58xNAkjp49wPyJichl0hHPcZhJw3ULMtl1rJGl05L5fJfffL2irocNu2u4bn4mnX0Onnz5wKB7YXZRPFPzY0mLNyGVSPhkRxVXz83gVHXnkHOs1yhIizMF2tCWTUth+5FGymu7aWgzM6c4gfhIPSqlLPAOXTsjGu+25/3Ja5dCFHBu/RvXz3+Mn9cNbbctrWjnZFVXgCTcVtrIgzcU4XB6MOmGL8yNYhT/ifi3EkCCIFBXN3yPKEBdXR3CJVJRpVKJSqX6d+zaKP6HqG3pJzRIjUr5/cyyCDdp8PpE2rrtxIaPrLQYxX8oJLBoctKwLRoKuZRxGRGDPuBFwT8QXbd0zIBJqASlTIIgiDxw/Xicbh9ur4BGLef1LyqGKEB2HG3iobVFPPXaIWLC9cyfmEhGvIl7rhnHm5sq6LW4BjwkwrliZhrPv3+cfquL+64bT1lNF1t6Epl71W+RtpYjx4MmZRz7a5zYemHfzjNUN/Uhl0nISwtn0thogo0q3B6Bp+6cwqkavy/Aj1bl0W9zo1UrEASR+RMTKGu0U5KUD22DlSZBRYvo2vwyQ2TUokD31/8gbOEdtH/8jD/pJDgST2cD5iObiFh5H876izGzujFTcdafwtfRyE1zFvH7T6v41Q3Z6A69jLO1igD9JpESOu9mkEixndnvn6RQ4RIuPn96zE6qm/q4YWEmXp9ITVMfwYlFsO8jEIaSLsbxC7Cc3jlkurfsG87ZwvnzZ2f9xt5SCTPHxzG7OJ6wIC1SqYSbl47hTF0P6QnBvPjpKSaNjWbVrHSee/coiyYlkZcWhsvt80cOd1rZvL+O+RMT0ajkqFUjv26lkotap0tbRLYcrGfljFR8PpGdRxu5fkEWLV02dBrFiFVdo07Jl/v87QtLpiTz0fZKrp6bgVH73Tbtl0oldFrcfLqzmkm50UzIiaKu2czfPjnFlPxorpyeOsRPxD1A4ozPjAgMcv7y0Qlmjo/jZ2uLEASRMJMahUKKzyty1Zx0NuyuITpMx6O3+GOG5TIp1oG2y68PnWfRpCQiTRpykkPRqvykTmWjmb/ulHP3tb9F1VePo6MFb1gKnaKJp988x8zCOOQyKVfPSQfgZNXgGPN+q4vIEC3tPf6WqB1HG9lxtJG4CD23Lc9l1/EmMuZEo5Aphg54AKRyEH30fPo75MZwfrv25/zqwxpiJJ30bH4ZiVyJOi4LZDK6tryM4LASNHEZmpR8jOMX0LP1deRB4ejHzsBy/Juhq9fokaq0qItWcrDaPoj8uYCjZzu4enYa8mO7GElPYDu5jU7dWJ58268IkcskLChJYnpBLHMnJKCQS/nZ2iIUcim7jjVT2+z/ngg2+JUXOpWU3/xoClsGPIJGUnSAn1QXBBG1UobJoMTrE+nsc/DBN5VUNfYF5vvFLcZvJXKMOuUAGXhxvW6Pj1NVXRSPiRpWtRcZosXj9dHWbefNTWe477pxlJ5pIzs5hPe/qeTo2Q5UChkP3VhEU4eVPouLHUcbWTk95X9dCpj8nxTSBEHkJ8/tDJAC7245x6SxUaxbmoMUcLhGVqeAXwmUmRgCItQ094843+nqLhZPSeSWJWNAIhnwE/Ubh4/LjKC+1TyiUXBMmA6L3YPb6+MP7x1nal40s4oT+NUdk3jps9NEBMm4LsuB472HcFxijh4SnYZ2zo2YL2vbdDZUoEkpwFF7Ysi2FCExuDsbUcek42q7mHQnDwrHEj+V1985y2/XZtLz/uODvLh6FSruXfoQz24RqG7yK4Fe/KqONbPGM3X1NLRdZ3C5PARlFuFRGrGLKmRSCYfK25g+LpbtR4a2v5n0KtLiTDz37jHqW/uZnBfDrPHxHC5vp8fs5OjZDq6YmcZbXw1VeG0/0khuaigGjZyK+l6umJFG5fkeHrt1Ii9+djrwrMtMDOa6+ZlsO9zAQzcWYdAoEfEr9RDheGUn8ZEGmjqtzCqMD7RdxhhEv/JxGIguOyapHZlUMoTcjQrVDWoJFUV44eOT/HBVHkEG5WgE/ChGMYB/KwE0e/Zs3nvvPRITE1m9enWA3HG5XHz44Ye8//77LFq0KDD/8ePHAz5Bo/huoLq5/3ur/gGICPYngTV2WEcJoFEMglQm5Y1NZ8hNDWNWYRw7jl78iNCp5Tx0YzEahRThskqaKAI+AcVA0tOFAbwU0CqkaBVSBIkEs22o8avD5WX97hqeu3cGlQ29fLqjmle6bEzMieTRWyYgl0np7HNQUdfjj5YfGPQ/994xf8V8Rho9Di/ETOF0TTcb/34Oh8vHL26dQHWT/6PN6xM5dq6DY+cufvg+e/c0th9pYO2iMTz33rGAV4dMKmHR5CSKc2LwhkchLftmkJGyRCZHcA7fQik4rEj1oShjM3E3n8PT3Yw6KY/I63+Fq/kcqpg0pCot+pwp+Jx2era9CaJAclw+i0viMTbsxtV6mX+QKND99WtEXfMItjMHABFl7lw+OTE4/exkZSc6lYzUeBOHytvYbnWwbvH9uL7+sz8Rxb/3GMbNRSKT426vH7L/otdDR7ctMFDxCSLbjjQilUpYNi0Zs83N4y8eICsxmPYeO+fbzNy8NMffCrK6gL0nmvmvVw8Flk+NDeLHq/NxeXx8ua+OouxIpFLJsB+ghVmRlwxCRX5ytV/NEBOmw+H2IZdJiIvQ88LHp4gI0bCgJJFPd1QPWU+QXoleo6DH7KQkN5ppBbH85LmdhBjV3DJMO+B3CT7A6fYSbFTzt09P4XB5yUkJ5cdX5/PV/nrsbh86xfCDTbVcwpO3TeS3b5Ric3rZcbSJnceamDk+nqLsCEKNakwGFX947zhrFmTi9Yo889aRQGJXaJCan60t4rp5GSikEjxuLzIJXDEjjZmF8Xg8AiqVjA6Xh1e+EZhVVEy82oDT5eOqOelsPdzAmfoefnfXVJzuoWqIjXvrAhH0l0IqkSCTSbl+QRZKrRT95Csx7/lgyPLGwgUBAtRr7sS9+1V+vOJ25Mffwg2IXjeO+lODlrGdO0zI7LU46k/haqnC1VpDxBX34TV346g5FphPpjMRvvJezB4lvWEJvPlOGSOhoa2fEGHkAbvo82C5RJ3m9Yl8ua8OpUKGy+1h036/Mk8hl7JieiorpqdQ1djHm5vOBFQkQXolP1tbhMvtQ69VDkkVuoA5xQlkJ4Xws7XFhBhVbDvSgFalYGp+DKtmpSMicuxsB6eruygZG83+U0Pb65KijXT2OQbdk5PzonllfRkut4+Hbiyi3+bibP1FpUFkiJYfXZVPc4clsM5/bCjnjpVjibrk28jl8fHx9ioWTEzkg62VeAbUhLLvaQeKZJh2TACdRk50qI7WYRSjQXolPf3OIYqQA6fbKM6OojgznNRY04jbjAzR0t3v4KXPTvPkHZMGKUQuh0Ytx2r38ps3SgPTblk6hq8PNaCQS1k+LYVbluZgdXgGqXCjQ3U8dGMx1Y29bC1t4IHrx9PV5+Thv+xlzfwMfrgqjzCZhY5X7uXywoentRpbxT606UXYKw8HppuPbSHyip8iOK24Wi4+p+XBUYTOX0fX5peIuPKn9O58D1VMOvKMKfQFZ/Ob96u4cnIM0gOv4zYPJpFFjwv3V89x69xHeOTNi61g7+5opN0az42LF9LTaaXDKmDQyuixWJk0Nordx5v42dpiuvudg/wKQ4xqHls3kX9sKAuoZXyCyCc7qlk0KYl3tpxlfGbEiD5YAF/uq0MulXKqpos5xfGkxCbwyY5qVs1KI0ivQiqVYLG5iQvXM6s4nj++dzygXtWo5Fy/MIuYcD2J0UZ+9uc9PHhDIZ29dj9JJ/4TpZwoDATRXLwmRp0Sg1Y5xIvI6vAgl0mpbOyjOCNsoHAwilH8Z+PfSgA9+uijNDY28tRTT/H0008THu43Eu7s7MTj8ZCXl8ejjz4K+EkhtVrNLbfc8u/cxVF8CxwuL81dNnKTQ/9f78q/DLXSH1/f0G6lJOf/9d6M4rsEt0/kwOlW9pxoZtm0FJ68rYSOXjsatRy5VEplQw8pUXr+lW8HuQRuW57LQ3/di/eyVpy0OBPHznXw+hcVgWmHyts5VN7OFTPTcLm9QwZBgiCy+3gzS6emIIgCT7x0cNDvXu+3V7nMdjfXzsvkuXePDjKd9gkiX+yt44aFWXxaamH1ssdQnPgMV9XAx63821UkXqRUZ9xIdJF/sCAaTXx8pI1F+l7UCWMQPS56dr2P79L4+vItrJhzF44Pt42wVhFn01lUMekQGg9j5rLC7mDl+CA6bCLv720nyKBi65FG1GoFu441IYhgd5tYu+hJDL4+RI8TRUgsak8XnR8/PexWhNTJHDky1P9p+5FGlk5N4dm3juBweYmN0FPb3I/XJ9LSacGkV3HkbDv7Tw8eYNY09/Pf7x5j+bQU9pxoweMVWbcsh1c2DG5jCDOpWTkzFY1azvLpKTjdPkor2lg2PZU/f3SS8truQGzvuhU5vLqhnCn5Mcwuimfn0caAsiEqVMuDNxTR2mXj8XUTCdKpOFjWikQiobPX8Z33vvT4RF7/omJQlb+8tpuz9T08fFMx1U19jE8LG9ZHRRRE4sK0/OHeGXT0OXA4PUSH6VHIpcgk/vvPJ8L1CzMJ0ql44ZPBZEl3v5PHXzrA8/fNQCpcaPEERIFzDb109Ngx6VW4vT5qW8zUbigfsg9AYHBzeatJbXM/GpXcbza7qxqvT8RkUHHbilx+92ZpgNj90ZJs8ubcia/0U7zmTmSGUIKKF4NURk/pl4H1uc6XEbNAhm2EhKULByA3hGI5vevCSaJj/fMET74SY+ECfOZu5KYIrKowNpzupb3PzPXTtPzqmiTsXilfHOthX1n7oOM432FnXMY0qD467CZlqRM5VD2UIN60r477rhsfIIA8XoGPt1eRGGVg84H6QS1E/VY3j714gN/9aAp9FidXz8ngw22Dk4GSoo1MHxfLXc9sx+0VeOjGIiaMicJq9/DB1krqW83IZRJKxkYzNT8GnyDi9vgCiUPg9yS5cfEYnnv34rHMHB8X8NECePbto1w7L4OrZqfjdPlQKqRY7B62HKxncl4M1U19SCV+lUNUqBZRhLS4IECCzemhoq6HVbP8qrAJYyKxOTyodMohKbjfZUilElw+keYOK302F6mxJgxqOYJEQr/dTUePg/uuG8cTLx8cdB2Vcik/uXocb28e3h/o8901xIb779G5xfFsvcygWSKBO68YS0KkgT/cOwO1Ssa8CQl8sXdoF4FEAmOSQth5rAmdRkF0qA6bw4Neq6TX4sTu9EeLa9VyrpufyVWz0+npdxIRoiUsSM3zH5xAEEVuWjIGvUbBnwZSQM+d72VKQSzuuuOM9AC1lu0ibNGdgwgg0e2k/fM/EHnF/UjVejxdjUhVWnwOC5ZTO1DMv4dPTjjIzb+JxEgdz3xQweka/zNlXKIG99GKYbclOK2EyW1oVPLAuZ6QE8WVs9J57Yty9hxvxieIJMcY/z/2zjtAqup++587fXZmZ2d7733ZxlZ6bwKiogKKit1oYtcYNc0kJia2FDWJNQqIXRGQZqH3ssCy7C7be2+z02fuff8YGFh3l7zp6o/nH2VvO3dmzr3nPOf5Pg8r5mewbHYalQ19PLPqEEtmpXDZlAQQRZKDQC46cEomAnRyFHIBlVKOVq3gQFkbMwqiAfD3VdM8QmhK0Zgwpo6NRKmQEx7ow+Hydh7/8x6um5eGyy0Oe76OTQlmUk4ECyfF43JLHDjZRl3rAK+uLeUXt49n34kWRFHi2dVHuGpmMgsmxqP1dWHR+g4prfN+33IlckMgonjuNxMa4MP3Fmfz2qejE9gul4jju1WBeREX8U/jv0oAGY1G1qxZw9atW9m1axfNzR5jvkmTJjFp0iRmzZrlNVhVq9X86le/+m827yL+DupaB5AkiAj6dhpAn0WwUUv9BYx+L+L/LuRyT4LQ2h01fLqzBl8fFQ6nG5vDzYKJ8f/kOQXsbnA4RZ68cyLvfV5J6RnPgUsnJVA8Jpz7nt824rFrd1Tzux9MGnEVPCHSD18fJf6+KhZOjGf9eRGsapXcm5xi0KmIj/DD6XJT2dCLW5RQK+U09VpHTRxbv6uWn9xSzEd7ailMvoqMycsxWZz0CRIyjW5YUhGATKOn3Sxn6zHPKmNFQy+JkX4smRKD4/gpbPUjD8xEiwmlHCyO4WUnZ+F22PG79AEcVjOW7W8gr/cMMKP8gvnRjOuxB4TywIt1zCmO9RIipbV9PFLbh1atQKmQYbKc4K2HClH4BePqHyotVwZEYPJPo6pp+MTeLUrYHS46ej3tGzA7CDR6lISrNpXz5J0TefbtkSfETR2D+OnVqBQy9pW2kh7nz7P3TmHP8Va6+iyMTQ0lIkhHY4eJpCgj48aE8fyaozy4PI+fvbLPu9p9Nra3sqGXh5bn84vX9jFvQjw/vrkYq92FWiUnxN+HLw81YtSrKcwI5VRtN519Nh5enk/3gBXpG8wACYJAe7dlxBIPtyjx8bYqrr8kjdEmYW5BoLPPxsnaHoL8NKTGBKCU46n7kTz/EYCpY6P45esHRjyH3eHm0Kl2pmSHnyvzFCWK0kKoaOzjk+3VLJ6eNOo9BPpp6O63EhWiZ3JuJL0DdgQZnG7ow2p38buVh/jxzUX8Pn8anb0WAgwa/vzB8SGlfC9tqCE9LoCbZv6QhCA59ubTmEq2DlERnIVMdKEcM2NUMkY3ZjKSSotkP5fEhdtF7873QJAh0+rRZU3jjZYMZmX6MYXDmN5+Hslpx0ep4ca8edw1bwZd3b3YJBUbjvSQHO1Pm0yLf0gCro6h5aFynR+ulOns2Ta8D9md7hF/f+9sreSS8XG8+rVJmyhKbDnQQHZSEFPzIkmOMXK4vAOr3UVOUhAJkX48/ufdXpNmp0tEJpPxu1WHvISVyy2xq6SF6qZ+rpuXxqyiWK6YmkTfoB2tWoGPRonF5vQo8wSB4swwNCoFP/3rHm87rHYXb6wvIyJIx91Lc/nqYCM5KcHkJAfzp3dLSI7y45bLsth9vJk/vFuCj1rBwkkJBPtrqWnuJzJYT0SwjvzUYK6elUJ96wCB+oARfWi+iRBkAq19Nn7x2n4v4aCQy3ji9nG8vbmCkzUef6PEKD9vudvphl5iwnwZlxnO1gMN1LaMbDxuMjuQyQSe/NsBrp2bRkqMPx9vq6ZnwEZStB83XJJBkEGNIIpoFQK4RS6bnMDJmu4h5xQEuO2yLE5Ud1GQHkpStJG6lgH89CqiQ32ZUxTLJzs8pVYWm4vXPj1JVIhHdVKgDGHbkUZuuzyThnYTWw/Uc9X0ZBZOSkCvVaJRyREA50DPiPcAHrJHkA832ZfsFuwyLSaLQHCE59lld4g0CvEY3TAp1kVQkAwbApUNfecOHKkE9Dwo3TZ+dEMhg1ZP2bZOq+DXb+ynufPcO7m2ZYBfvLaPp34wme8tzqa9x0J5XQ9jYzUEdhyib9MniHYLglzJ0uzpzL91LiXNTsxWOzMKohHOCL3iInwJNGq86WqCAHddmUNrt5kX3j+G1e5CpZAxuyiWH99UxG/ePMDjNxaz7UjTkN/40cpOls1JZe2OGpRKGdPyowgwaHjx/WOs3VHN+KxwAFxukXe2VCATID8tmNum3IR18x+HfQaGactptir55fcmYLE6MRo0yGUCf3qvxOu1dj50WiUqpYzkaCMDZjuGC5RjX8RF/F/Bf70XCILAnDlzmDNnzn/70hfxL6KqZQC1Uk6g4dttpBZi1HKsuvtMjfi3VI99Ef92qOQC0/OjvGSLJDHEbHfa2CicFzDyHQkymcCAzc1PX95Lcow/E7M9njFXz0rBqFOhU8np6LcN8aA4H6IoYbI4uXpGMut312K1u5AJUJARxg3z07HYXPjpVMwojGZafhQna7pJjwvA7ZZYOCme8EA9Oq2S0ppu1Eo5V81IpnfAU4rW2WsZ8Zrg8V0ATwLSyUYTLpkShVyJQasget736P7kOYZOxgUMc27HqRK5K+40EiBNzedos0hQsBGic2AUAkgRnUl9t4PQ8ETsrdUj7qNOyEUmgOnjJ4eoh1z9nbg+ew7DVT/F6KtGpRjusGG1u7Ceqb6rG1DgO/thdE37cZTv8qQjpU7GN3Mqj75U4j1GJsCsoljGZYbhcIqoVXJWLMhg7fZq9p9s46Hl+Ww/0oTJ4sRicw1TdZ2PXpMdX52KK6cn09Fr4fG/7OGH1xVQ16Lgvc8rvSusfnoVj99YxP3X5vHlocYRSx0GrU6OV3eRmRjEZ7tr+Wx3LTIBlEo5P7qhkI4eC43tJrKSgoiPNNLdb2PbkSZuXJDxjX7WKRQyDpe3j7q9rLYHo69mxAhttyDwzOojVDScK+tQyAV+dEMhieG+SOeX3EnQMsKK9llUN/UzMSeCbrMTtUqOj0qOHMiKDyAx0g+XWyIxyg+1Us7UvCh0WiUNbSa27q/nunlpxITqUSrkXDYlkZ1Hm3G43CyYEI+PRoFCLkMmCEgSRIX60tlj9ZrEg2dyddPsWApilMjqd2JqAU1kCj4pxdhba4aURMi0vjR02QkJikMZlYGzaahiQOEXQm94MXuO95AbnoxzhNJK0TKAOiaLKxMj0Bx7H9vJbec2O22Y93+CYO1Hr1DC8W1cl7cQbVwSpzuVMOtuVPWHkE59heRyokkdjyZnNg+9VjZiiaNcJowYutDSNUig38jjiZbOQeZPiMPucPP0ykNkJQWhUspp67Gw61gLZts5tYnd4WLVxrIRiZXWLjMWmwuDTsXTqw4zYHF422jUq3no+ny2HW7i2dVHuGxKAsvnpfPRtiovMZeTFMStl2dhtTuZVRyLVu15xvz0lmJ8fVQ8/pfdQ4j0ioZeCtJDyU4K4td/O8hDy/NYOjsNk9lOfITft8qDxO6W+Pmr+4Y8i6aMjeTzA41e8gc8/ebnr+wjMzGQFfMzePXTUvacaGVaXtSo5x6TEMjeE63cs3QsT688RHSoLz+/bRzgee9ZHS6cooRaIUM6o/pTIPH4iiIaO00cOtWBr4+S1NgAvjrUyPSCKF77tHQIOaRUyHjsxiKqm/s4Ud1NRJCOFQsy6Oyz0tBmwupwMz0vmqMVHUzMiSAhwo+aln62H21iwGzn0RVFPLv6CA/OSAc+HfE+1OGJuPqG+wqp0iZT2S2QEKJkoOIg7r52fOIzSff3o2vdn3D3d9IuyPBJKeLZ25bw0KsnsDncuBValBr9qKXWFnUQT7yyFwSBYKOWxdOShpA/ZyFK8NaGMm5eNIbN++rJjPPDt3EP/fs+8O4juZ2Yj27BZ6CbyVNuwS7TMK84hsMVHSydlUJytD8KuYwPv6xi0Opk6tgoJCTS4wJIifZHLhfo7rfx8bYqek02rp2bRnVzP1EhvjR+bZG1d8BO94CNmQXRBPlpUSpk/GhFIX/9+DjhQfphbT94qpNgfRhXXv0EzkMf4+pqQO4XijD2MszGaB7/w358NAp+c9ckfvLXPcSHG1gwMZ4XPziGJIGvj5KsxCAEQaAoI9RD+Nqd+Ki/XYmYF3ER/yn8T2nQwcFBnnzySW699VYSExP/l025iP8PVDf3Ex7o842eSPz/IMRfy6DVSa/J7o16voiLEN0il01J5OCpdk/JzHmYUxSDv+/I0n2ZTMAleUpYZAKoFed8gpwi/PG9Eu5eksuh8g5e+aQUm8PN2JRgFk1JRBnkg0L+99PoGtpN3LMkF1+dCrVKzt7jrTz0hx3YHG6CjBruW5ZHoEFDQXooP/nrXnpNNp6/byovf3KCstpzhMnaHdVcOy+NrORAIoJG9/Ly91WjkAuolTKiQw385aPj3knOovGRLLvhKQYPrMXV3YQiKBpdwUIczZWYP33u3EmOrKNowhJ8FcHI0gtx+QcwcHQL9qZzEe2CUo3/+Ms43SiROu062tf8gq+rPJTB0cgModiby4eWjp0H+541XD7uGspquxmbGszRiuHmkQmRfvSZ7LQ75RiCp2BRZiFKsP1UP8VqK356Nf2DDgQB7l4ylrLabp5844DXZDIxyo/7r83jD+8c5WBZGzctzGDlxlOYLI4RU1ZmF8UwPiscmSDwg6tz0ajkbD1QT0SgjrrWAT74qoqijFBykoOobx3g6pkp/PG9EqbnR3uTg0bCqdoerrskjUsmxGEyO9h6oIHclGC27K9n75kytAnZEew+1sIN89P5dGcNbkn6RqsOJMnj3zAaNCq5hzwRPN5aZ/uhTC7jkx3VQ8gf8Kg/fvPmQV54aDrq87qXgERkiJ6GtpEVoDHhvvzmzYPeFfnkaCMPX5fP8aouXv74BIF+Wh67qZBdx1p4d2sl/YN2UmP9eXB5Pn0mG2qVkrU7qtl6oMF7zs/21FE0JpTC9DBe/OAYMgGm5EVxxdShY57vL0xgTN8OHB99CYAdGAB8UooImnsrXZte9u6rGreUl7e3Euyv46ZLfoC1rhTx5FYktwt12iTkCYX8fE0lc/NC8J9xPR2rf8bX+5UiKBqXIQK9zYqlbMeIn8fgie2EXv0IpiNbsBz4CLcg4/OmeMKCfJmYPR3/1Akelcy2JvKNTsRRfmSTciM5dGq4mXJksH5Ew2mA2HAD9a0DRIX4IoHXvDcx0o+OXgt6rZKZhTGkxfkTEaTjxQ+Oj3gegMqGXibnRnqJ7bPoG7SzemM5YxICsdpdvLO1ktyUYO5cnI1SISM8SIdWrWDNlnK+OnxO1ZCZGMgN8zNwukX0PqphSspDp9qZURCNWinjmdVHeOzGQgw6Nb4+SqR/cBHhfwWZTKC6vm8YEV2UEcYzq0dWnZVWd1PfNkBHj4Vek51ls1NHTNVUKmTMLo7l128coLKhl/kT49lxtAmLzcXz7xzx9k+FXMZlUxK4ZFwssjPPMLVaINjfh4nZ4fQO2nlrQxkJUX5sO9w0TG3kdIn8+m8HeOaeKbyy9gRXzUjm+TVHhsSNq8+Q5509Fr460szOEk9lQkF6qEdB1tyP3ScOdXAszs6vp0sK+E67AbkhGIPNjK3qEDKNDiHzEgZ1kaRJnXSv/ok3jMB2bDMKQzDB879H+8fPItktWCr2obEO8Pu77qJtUEZdn4WcicsY/OLVYZ+vJm0Cu2ssHpWrJBEXbqC8fnR1UlldD119VtLiApiW7kPvynUj7merPkzYtOW8scWjgCpID+OjbVW4SySm5UXws1vH8eaGMhZNTmDPiVZe/aTUq76LCNJxxxVZ/G1DGVfNTGZfaRuKEYyujHoVDy/PZ92uGj7bU4tWrWBOcSz3X5OHSiEjNsyX+q89lzcfbmdSwQTK/C4lJEZOR7+L7koBo28f8yfGMzknAovNyf3X5GEyO4iPMPDLOyYwYHYgE2D/yTZEUUKplNPYPkiwvwaz5CRAp/zOpfFdxEX8o/ifEkA2m42PP/6YRYsWXSSAvuGQJInq5n5ykoL+1035lxEW4Clhq28zXSSALmII1DJ48o4JHK3sYNexVnw0Co+SJsBnaAz1GUiCRyL/6qelVDf1o1bKmVkYzRVTE1EgYbY6uXRyAn9bX0bDeStiB0+1c7yqi6fvmUxbj4WoEP2I0mWjr5ogo5Ygo5bVm8tZMiuF594+MmSfrj4bv3h1H8/eN4W/fnyCngEbmYmB7D7eMoT8OYu3N5WTmxxMWlyAN+b261g8PQlRgkvGx/Ojl3YNIQ8+3dvMFyXtPHPXTahwotRqcDSfYuDLN4acI2DmChDddK35GW5TD3K9Eb+iS9GnT6R76+uoYrMQCpdxuk9JXIADS/k+Qq54gL49H+For0VQqNBlTESfPgHRZsJed2zU783eWk1Cvg+/WFPBozcWYXe4h9x7XLiBh6/Lx+WW+OVr+7zlXGdR3zrI/dfm8dqnpUQE6alr7R8yiQfPKvdLHxzj+kvS+cO7RxmXGc5jNxahVsmZXRTNxr3nJge3LsqkpdvMr9444F3x99OruHNxDla7i0GLg+9flcOuY81099vISwtFo1bgdIlYbE789GpaukaOBffTq9hX2sq6nbUEG7VcPSuFsAAf3v/inMqjp99GZ5+VAbODxdOS6O63ERH4zS3ddbncjMsMY9UI6XsAswpjeGN9GVa7i5sXZmDQKpBECbtLZPP+hhGPcYsSJ6q7KE4L8foGqeQCy+em8ZvzjGLPQqOSExtm4M0N5zxLOnot1LUO8Pyao+QkB3PjgnRe+/QkB8vOqZXKanv4yV/38MRt4+nqtw773QAcONlObkoIkcF6mjsH2Xa4iWljowgL9KGt24K/r5oxRguO3V8OO9ZSeQBtQg4K/zCQJORFV7Ozw8iJ6gbksl6Kx4SxervAlIylKOUCB0pMjHeZ+dXVUZi2vcVgty8hi8/0qzZPv9KOmYIs91KsMh8wt49uuCqJQ2LjHUc3cMNVv+LRtyrw99XQ1DHAgkkJtPbaeHtzBT9YkstfPzo+5LdbmB7C5JwInnrr0LDTL5udyrufVw77u1wmMKcoFkmS2LSvjun50WzZ7+lfrd0WCtNDyUkOZu2Oaj7dWc09S8bi66MctaQ12F/rLQP6OnoGbKTH+XsN2ksqO6lp7ufOxdm0d5vZfaKVbecFAoCH6HjlkxNMz4/i8RuLWLXpFPtKhxJcJZUdpMUFcLi8g+bOQSQg2E/Nt4P+8RBAHSOoRCWkUSPFwaP08Hjv2HnlkxM8ckMB63bWsOdEK6IokZkQyOLpSby7tQK7001pTTeXTU0kLtzAL17bR6/pHEnncot8+FUVRl81U7LDcYqwcV8Dn+6oYdDqJDxQx7I5qUQE6Xj0pV0jtsfpEjlV1833rsjmua+RPzIB8tNDcLjchAXqKEwPxWRxUFLZSW5yMGt3ViMTYFDygak/wLdqK5bSbUguB6rQeIwTr0SURBwo6IiZTbM8B6VKSYCvP+EaGz2rnx2WROka6KT/4HoMOTPoP7Ae8KSGGSULVU0uVm0q54aZMUyY/X3cB97H1d+BTKNHmTMPTdYMXCU9+BvUFCQHMD4tAFGuZP/JNiy24ebzBp2K/kEHb24oIz80Eck5PIjiLPrbmslNDkchl2G1O5k6NpKwIB12p8ifPzrGrMJY6tsG+ODLoWrCli4zz759hPuWjaXPZCct1si6ndXEhPridIu0dpkZnxWGcKbc76zxvt3hxkejxGp30Wtycd+yPAQBtuyrY+O+elKi/Vk6O4XmrkFWfenp+3OKY1gyK4UvDzXQ3WfB5RbZsKuWfWeS+h5dUUifyc7xqi52H2/xtnH70WYyEwK5/fIs9p9sJTb42xtkcxEX8e/Ct74Qsr6+ntdee41jx45x+vRpEhISWL9+/d89TpIkXnnlFd5++216enpIT0/n0UcfJTc39z/f6G8h2nutmG0uIi+gGvi2QK9VotMoqGszMTYl+H/dnIv4BkEUJRTA+IxQitJCPJMCt+RVHCgUHjmByyUikwm09dl47M+7vQSJ3enmsz11nKrt4bEVhUiAze4aQv6chd3p5u3NFcSE6rllUSbPrj7M4Hl+IGqVnHuXjsXlctPVZ+Xupbm8vnZk81mHS8Ric1Fa7TEMXjIzhT+8e3TU+9x+pJFgo5YHrsnj1U9LveTT2RVXvVbF7mMttHQNjqgc8ffVYHLA3hOdhPnKyG3YMGS7fsxk3KYe+g+cW3F0D/bR8+VKDOMuR3Pd8+w82cOnq2sZmzLIkvGBmI5sxlp9FEPeHBQTrwRJxFxxgLYPfovftBtQBYQzWtGaXG9kwOzE5nBjsTq5akYyBp2K5s5BdFolbd0WHnlhF/cuHTtiKUrfoJ3fv3OUn99ajFwm4+E/7RzxOu09FjRqOTqtgsZ2E/1mBwxKTMyJxOpws+NIE/GRfoiSxGfneTKBx9z2ubcP8/z9U9m0t57X1p37Lo9XdeHvq+a+a/J4bW0pl05O4FTdyCu7k3Ij+etHHrVDZ5+Vlz44xpJZKYzLDGdfqUcBFBWip6vPSlu3mbGpIUh4TJC/ydAq5XxvcRZ/+ejEkL/HhRvISwvxkmk/fGEXz907Ba1CQJSkUVOBwFN+d75i1e2WSIwwcMulY1i1qRz7GTVGsL+WOy7PYs2WiiHHT8uLZv3uWnRaJVdMS6S73zaE/DkLSYLS6q5R/U4Ath1uYmJ2hNfQ+K3PTvG9K7L5xWv7mJIVjKzss1GPHTyxA82lj1DeaOKDHR3UtnhIJrfoUUU0tJlYdWb1fOGkeGakqOh660feSHlHWw2+Y+fgP3kpgjGCjw50c/qzRhZNSSDV6MvwApZzON/fRHJY8XP38OQiPyrNdhZMTEAplzFvXBwJkX4IwOM3FTFwxhzYT68iPFBHz4CNQD+NNxparZRz+dRE5HKBy6cm8vq6k96SK6NezV1XZqNWyxm0OPj8YCMPXJOH3eFiZ0kze0608LvvT+KHL+zy+tLsONrErKIYPt42nOQRBMhNCeGdr323Z5EcbaTHZOfHNxV5k8d8fZT86f0S7lqcw46jzSMed7qxj2WzU9l6oIEpuZEYdGovSQV4y/3A0/cD/Vx8mzQHbrdIcoz/sL/bHW6Mvmr6TCOTCWefPQAdvVY++OI0185LZWJOBDJBoLqpnz++WzJUjSVxhggY+ZwffHma4jFhvPlZGbuPnTPbb+028/yaIzx99+QLl+EO2DHbnNSc5zGmkAvcf00eJ2t7eG7NEewON74+ShZOSqAgLRRRkpAJAknR/pyo7sZH5mCqfzjBC78PMjmu3jZ6vngLV38HAfPvwqLO4I9rPV5dE7MjuGWsYwh5ej6s1SUYxs72EkAAg51tBPtHExbow1tfNLAr0o/HlvwES58Ji0Pi00Pd1O0+ypO3FbIoW8vgwXU4D9eiCIjg2evmsf64hQ0HhgYRzC2O9f5+JdnfCXBQ6PDTq+kZsPGrN/bjdEkEGTUsn5vO2BTPWOjrz8ezMFudtHdbGJMQgN0p8tDyAmqa+z2+OzH++PqoeGPdSS/5o5ALPLg8n8/21KJWytFqFLy+6yRmm5P81BD+9OB0TlR3sutYC1fNSOLpuyehUSs4VdvDoVNtJEUZCQ3QsbOk2Uv+xEcYCA3wePOdT/6cRWlNN+X1PWQmjhzO6IEJAAEAAElEQVQkcBEX8X8N33oC6PTp02zfvp2cnBxEUfz/Tld45ZVX+OMf/8hDDz1Eamoqq1ev5uabb2bt2rVER0f/h1v97UNVUz8CEPEtjoA/C0EQCPX3obZt9MH6Rfzfxll58NnyH1EQMFmdHDzlmfwVpofiq1Xy2rqTIxIkta0DtPZYiA3z5Xh11/AdzuDY6U7GZYbxxvqT3LtsLK1dZhrbTSRGGclMCOREVReN7QNcMycVk9lBU8fo5uVnJ0O3LspEIRdGXBE8i36Tg/5BBxv21HHFtCSCjVpcbhGlQkZpVTeiKDElN5LqmmauKU5DcNlxyLRsOdHH9mPt3HZ5Fr98bR8mi5Nb5sQi2oeqVXQZE2n/6JkRrz1wYD1SxDhWfVHv/ayUqjAknRFXfwc9X60adozdLeCflEffjndAktDGZ6NLLUZQKLE1VSD6x3CixcmjKwpp7hwkLzWEB/+4A4VchsPpRpI8sbMllR387LZi3t1ayaFT7UMUAzPPmF/aHa4haTZfx6DFyRO3jaej14paKUOrUaKUy7hkXBwzC6LRaZX8dgS1A4AoSdgcbtbtqhm2rddkZ9PeOjLiA7A73EzLi2LbkaHKg0snJdDYZhqmdFi7o5oHrsljX2kr8REGBiwOrHYXYUE6bHYnfr4a5N/w0l1BkihMDWHMg9PYV9pKz4CnvEqS4NnVh71KKrvTzcc7qrludgpyQSI6dLjfxFmMiQ8YNtiXSRKTssMpzAhlwOxAoZChUsh56q2DXiI0JsyXiCA9abH+7D7WzIyCaPaXtmL0HV0xanO4MdtGN3AdtDhQq855VNW09OOrU/HYTUWY+/uRKkf35BJtgxyo6OWvG+uG/D0zMYB4f5EXbkkGyY1bqUdUahjYvcpL/oDHK6t322oAVNNvZ98pJfVtJo5UdPD0bTnogmNwdg5XLqnC4nF2n0eAyBQIkoS2t4qi2GwElZWTbRLB/lre3FBGa5eZyBA9iyYlYLM7CQ/yQaWUsed4C7csykSvVdJvtqOQy/jqUCPvfl5JVmIQj9xQgFwQGLQ6EQSP8vH9z097SYPn1xxh3vg4Hr+pGB+Ngq0HGob00ZLTncwdF8eYhL4h3jQyAW5ZlIlMAINeTWKkH3K5jMr6XvoG7chlAldOT+anf92DyepErZRz55XZOJwuevptON3iBT17BswOyut60GoUFGaEsuNok9fPbWxqCL9/x0PCx0cYCPH3wekUvzWDbkmCUKN2mDp1y/56Lp+aOCS18izOf/acRXp8ICqFjO1HmjBbXZys7R7ymfpoFMjlAq2jKB4BTBYnVrt7CPlzPho7TIT4a4cpO88iLtwwTOl6+dQkD4FwnnLLZHGyZksFV0xLQqOSMyE7nKrGfsx2J1MzNAx88CYjjRr7vlqJccFPvf+uae5Hnjnq7QAS0teUQYLWj/Vbalk8LQl/hY24EDV+KjeGMF967EoWTDIiIKHsqaH90995VXuOjnoo38uiWXfS3h/IoQrP7z8rMYjJuZFehV1Vp5sx8TnYa4craeW+gbTZVJS19DAjPxrnmRTRrj4bf3j3KD+4OodAv9E/X4CmThOTciP42/qyIe8tmQC3X5E9xOtrYk4kB8raSY8PpLKxdwjJWtPcz8a9dTx8fQHhQXpKa7qx2Fy8t7WC9PhAb/8tSA8541HUxA+uzqFv0M7+k+1Ufq0c+Hxs2lfPoysKRvSSu4iL+L+G/+m7SKlUUlhYiJ+f3z99jhkzZjBr1iwAfvSjH1FaOnoE4FnY7Xb++te/cvPNN3PjjTcCkJ+fz7x583jttdf4+c9//k+357uKquZ+gozaIQPYbzNCA7SU1vZcNIK+iL8LURB478uqIau7b2+u4Jl7ppyZKOo4Wtk5bIB5tKKD5Cg/dJrRTQe1agV2p5uGNhNPvnGAmDBf7lmSy9od1fzlo3OeFoIA9y/LY8642BFXucHjq5AWF4BcLsPudJOZGDiiWgEgPyOUY5WddPZaefnjE8O2v/jDGejd/aTXrsG+wzPQl8sUXDVxCddNHUe/2cIPFsbx0f5OjjdYKIjOhY5zn4/kdoLbMwlQhyfimzMTmY8Bt7kPU8nnIFrQaRSYbS4a2kw4FHqUYxfi3jWc/BEUKnwTMhnY/wlBC+5CrtFhayyjd9f7iA4bPoljMSZlkaERqGzoJS8thH2lrbjdEm63G0GA5XNTyUvzTPg//qoalVLOw9cV0N1vZefRZhZNTSTIT8tne2qZmB2BWiUfVVmiVSt474tKpudH85ePTng9TAw6FTfMTyc8SOdVOnwdiZFGDpYN90I5i/0n23j4unx+t/IQNy8cw6IpCZSc7kQSJcYkBCEIHtLw6zHjdocbUZKYkBXO7OJYnll1iGCjFpVCjkohw2J3jerP8k2CIEnolDIuGRfLxztqeXND2YiqgJLKDq6ekczqzeVcPSOZ59Z4yiKTo43EhhuwWJ1091sJDfAZcVFIcouoBAg1ajhQ3olBp6L9TCnmjQszaOoYpLZlgIZ2Ew9cm4/D6eaN9SeZWRgzaturmvooTA8dsewSIDspiKqmPu+/FXJPydGJqi7CA7WoEguwNw8th1JHpeGbPQ1FYBTRfcohZFdajB8/mh9M/7pf4+7z9HOZRk/I1Y/R1TiyUhBA0XSE5MjZXr+N37xbwUvfe5Du9381JB1PYQwlYNp1dK47l8ITOPN6kMmwN1cwcGgjCt8AEosu5+RABCequ9CoFEzOjWTA4sDucKF1D6K0O1hYGEzzgMAvX98/jFw9Ud1FWW03v/3BJPaWtjJtbBQ/eXkPVrubYKOGGQWe8q8Nu2vZsLuWR28s9KYSnYUkwXNvH+aG+RksnpZETUs/eq2SnORgjlZ4SrB+dEMh2w434nCJ3HzpGBDA50zs9T3LPEbEdqeb3cdamJ4fxU9vHUf/oB2ZAKNxQL46JXK5gMPpZmdJM8Vjwth+tJnJuRE0tpuw2l0kRvkhCODro0KtlOH+lngAASgE+OnNxbyx4ST7S9sQJWjpNJMWG8Cdi7NZvbnc47ciEygeE8acM8+es4gN86UoI5Tq5n40KgWhAToWT09i2+FGtp+Z9F82JZHmjkFSYoyjtiM6xFOWOxrW76plxYIMnl413JsoOdpI36Ado17tfeeAx4T66+VMZ/HZ7loeuDYPpUJGWXU3k7PDCFAPwOKHcPa0YDq6dUhfEa0mdLJzhKtOq0AVFjtqexWG4CFJmgr/cBoGZAT6KpkQZkbhtGCvO0r7ie2ItkG0sVkkFF2JXeaD9eO/jFiyad/+Bnde8xSfRfiTEuNPe48Fq93J1TOTSY8PoL51AMWkGxEHn8PZeS4+Xa4zopj3AK980MTMwmicbjepsf5U1J8jUt7dWsnjNxURZNTQ1Wcbdm2AlGh/Squ7hi1aiBL85aPjPHPvZGLCfHn/i9OMywzjhfePce/SsSMq8watTjbtrWPprGREUUKut/OXu/MYtDqpaHcyJScSs90JEtyzJIcvDjVx7HQnCyfFX1ARarO7cLok/j9sFy/iIr7z+J8SQH5+fqxcufJfOodsBDn/38ORI0cYHBzkkksu8f5NpVIxe/Zstm7d+i+157uKqqa+b338+/kIC9Cx92Q7PQP2UVNILuIiZDKB2rbBIeSPr4+SOxZn09RhYmDQs6p/++VZdPZZWflZmXeyYPRV43S4mF0Uw+Z9XzeP9GBucQxm6zkT4ahgPZ8fbGRnyVAJsyTB8+8c4fn7pvLJ9uphqiOFXIZSIeP6eWm8vu4kl09LZOGkBEoqO72y67OICNIR5KfBJY4sg1bIBYxyK/2fPIOz69xA0Tj+MuQ6Hf0f/QZXbyuRvgHcl3cZ1bJE3METkZV9gWj1rBQLcs+rJWDmCpAkevd8hHugC4UxFL/CBaiCA7jlMiNGvZovDzXSPWAnNm0CsoFWLMe/5KxhrUyjRzXvfgYtDqyl29GnT6B3xzs42s+VV5lP7cFSdYSCFU+xr9TCZ7trkZ83wrthfgaRwTo++qpqiDR88756CjNCuWNxNjuPNfPzV/YBnnKNmYUxw0q4AIKNWtyixIKJCfzytf1DvDAGzA5e/OAYz947ZVRPJ5lMuODqoyhKCAhcMj6OzKQg/rb+JGarh7xZvbkCUZSYnh/FDfMzeHPD0BX4EH8f/PRqnnrrIH46FXddlcPza46wbE4qWYmByL5FPLfoFunstYxaEuLro6Kla5AdR5tRKuQ8uqIQrVpBRUMv5XWexLA7Z6YgEwTsbgkJCbVchlxgiPrA7hRZvdnjibVwYhw5KSE89/aRIWTu+/JKHrmhkIggHVEheuQywasMPB86jZLMpCD8fdXD2q3TKJiQHcHPX93n/dvk3Ei27K9nXGY4v3nzIGm35KLQbcBt7gcEgi65Hbe5n94d7+Ae7CMgIIIfz1zCjrYYPi/p4sdLkuhZ+cMhvh6ibRBXSzlyrR7ROrIqStL6Yek+N0kaMNs53a/ENf4+kvycWLta8A0JR7L207nhxTPtAX3uLBR+wbS98yRn+6ezp4X+TS+RMGYG10wbT2xMGB9vr2L5lHBS3Ydxrd1Et3UQVWg8qdNvYFp2EBsPDiVAi8eEccn4OHYcbaa1y8y+k208ckMha7ZUkB4XQLC/D529Fo5WdnLN7BSMZ8yUvw6HS+TVT0uZkB3O5VMTsTvcfPBlJdmJwZTX9fL8mnMlsV8eaiQzIZDLpiayZksF+WkhXDY1kfe/OO15LgoCW/bVMW98HOOyItgzQklJQqQfrV1mpoyNYu2Oavx91cwojGZybiSt3WZWbTzFjIJoLhkfh8ni4J2tFaxYmD7id/JNhSRJKAW47dJMrp+Xjsst4atToZRJRPhryIgPoKlz0BNHrlHw5voyzDYXguD5XlfMz+Cnr+wdEqrw6c5qbl2UiVIpJy3Wn6zEQJQyGU5RHNWTbnJOJJoLRHfXNPcT7K/lvmVjeWdrBW3dFlQKGZPHRjE+K4xnVh0mPT6AK2ck89Znp9CqFfSaRiYywKMyFCWJlz48xnO35+Au/4quQ58h2gZRhSUQMON6LKcPMVh6zjzdR6f1/v81c9LYebqLnJRibJX7h53fOPkqBg5vAjzkjzD7Pl57t4ZfL0+Cnkr6T+7C1njOi8xy+iDUHCXsul/SMcp7W3LacJu6Ka0Z4LM9dVjtLp6+ezIF6aH87OW92BxuPtapuGv+7cT6OvGxdSLpApAZw3lvbydtPWYKM8J4bvVhFk1N9BJAEUE6br0sk+bOQS6fksSrnw5fZNeqFaTHB/DkGwdG/Uy37m9ArZTz4PJ8HA438eEGSi+gjt5f2sp1c1JIM9ox7Xyb3uojIMhIT52AK2shb+/pZmZBNIFGLcdOe8i48rpexmeFU1ozcojC+KzwMwsC36KX4UVcxH8I/1UCKC0t7f9LbXHq1Km/u8+/gpoaj/w+ISFhyN8TExN58803sdlsaDT/PClw1ifkm46zkyT536HDzVYnLd0WxqYEIx/B3f+bBtmZ+/H8d+SXZXSIp5Strt1E6DfYHPUs/n+/q28b/lP39e/qgyLw6XnmoYIA9y3L480NQ02ddx1rYerYSJbPS2flxlMIgqdMDCDAV82Smcm898XQ1cakKCOJUUZ2H2/lsRsLeWb1YSZkR/DC+yUjtkWSPF4x91+TxwvvlXhTOIx6NbdfkcWqTeVcNiWRvkE7jW2DmKw9PHZjEZ9sr+Z4VScqhZzJYyOZlB1BZ6+F9u6RJffXzUtHNHUPIX+0iXkICiXdm17x/s1t6sG9/Q0Sc+axb6CI4kt/gqLkYxynD+Ay9eBXvAjXQBcDB8/5A7n62une+jqGKddQUh3JnrJOrpmThtMlctcfj/Db2xcTkLeQgbZGZCotPW4db2xp4b45CuSGINzm3iHkj/ezcdro3fke/j5TOV43yNS8KHYcbfZ4kATpGLQ6R/QFOFjWzsTsiCEmr3tPtHDfNXkMWhzsLGn2km3Rob7csmgMu441o5TLRzRClSQPsTSSWTd4PIRuWTSG90dZec5NCcbhcpOZGERJZSfHTg8fIH91uIkHl+cNmSzFhRvQaZUkRPqRmxLMoNXJSx8co6PXyprN5WTeORG3KP3X303/7PUEARZMjGdHycj+K5dNSeS9M6UN+060MKMgiqdXHvb6ikSF6JmcG8GbG8soqexEkiAt1p/bL88iyKD2yqesNjfhgTpyU4JJjjby/JqjwyagLrfEc28f4YnbxvPhV6e59bJMXv7kxBASNtioZeHkBF54r4T7rsnj8wOeRDZRlCjODGPp7FSqm/oI9NPQ2WtlXGYYxWPCeWb1IVRKOVlJgfz2w1p+tvTHqE+sQ6EzYGsqZ/DEdu81nD0tODf9njlzbyf/ugKcVdtGNHU1l+1GnzOT3hFKKQFciVM4vKduyP1pVEpe3dXB+KxwNu+Xo1F1s3xKGNlXPIizqxG53h+ZSkPnuhf4epoYgOPkl0y/Zh6bT/UyI9OfwNJ3cNSVnNveXkvXO09w+fwHKWs8l/YzJiGQcZnh/OL1/V5i7nB5B+t21fDI9QV09FlxukQWTU7g5kVjKKns5Lk1R7h6ZsqoSqtpeVEcKe/gna2V6LVK8tNC2bi3bth+pTXd5CQHkxLjz+HyDhZMjAdg6tgojpS38/nBRvx8Ndy4IB2n0+0t/wWPqmT5vDS+ONhIdlIQrV1mxmWGExGkR69VEuyv5bc/mIzV7mL97hp2lbQglwksnZ2Kz/9gfPjv6Pd6tRy5XIbBoGVgwIogQGO7id+dUd0EGDTMGx/LgkkJCILHfHnlxlPDEjUlCV5bd5IXH5qOQSv3EuIqhZxffW8Cv/7bAdq6PQpKmUxgZkE0RoOa0AAffDSKEUubF06MZ8DsIDJYxwPX5NMzYCMmzJe9J1p56s2DuNwSRys6KUgP5eHr8nlna+UFlbngIZl/fE0Gls9fHhJA4GiroePj5whedA/2thqcXU2oYzJp6vd47lQ09NLQbmL1phpef3AFBMbhOLYR0TKAKiQW/xk3YFcZEXMuRznej0aTgpfXVJMYYUBeux95aPQQ8scLt4u+7asx5M6kb8/HI7bZLUpUNfbhFj1R7SqljF+9fsBbljhgdvDU+6fRqOQkRvkxpziYP7x6gLuuyuGH1xfw2Z5a6ttN+Gg8U0O9VsntV2TxxvqTTMqOJDclmCfvnEBjm4n1u2tp6hgk2Kjl7iW5IDCqLxR4tvlolLyx7iT3LRuLj/bCn79CLiNQYabjzceQHGfIOknEfmoH8qZSrpz1CEebB4gM1vPoikJ6TXY+211LTJgvoQE+w1S4fnoVc4pjEaX//nvwIi7im4j/KgH0/e9/fxgB5Ha7aW5u5vPPPyc+Pp7p06f/x9sxMDCASqVCrVYP+bvBYECSJPr7+/9pAkgmE/D3/3b55BgM2gtur27zDHzS4gPx9b3wvt8k6HzUo27z9dUSYFDT1GVh3rfo+/p739W3Ff/O+/p39sEBs50By7kJ4diUEI5XdY5o6rz9aDM/vD4cvY+S2y/PIjjAB43K84i9fFoSE3Mi+eJgAyaLk+ykIERJ4tm3j2C1u6hr7eemhWNQyGXewdpI6Oy1YLE5efj6AiRJQu+jQqtSsL+0heOnuwgL0JEWF8DWA/XccUU2z685wqyiGOaNj8Xtlth/so3fv3uE39w1CYVczh/ePTpEzRAT6su4rDBMVXuHXNc3Zzqd618asU2O41souHI6D75Rwez86Sy55ToEmRx9jJ3mVx8c8RjTng9ZdtWvGbBLfPDlae5ZmotCLuO1TTVcOzeNX60dwO7o9Zr0dtvDiYrPxlo3eomvo/YIY2fM59O9zSwP0WPQqShID6NvwMaBUUrhADbsrmVC1jlzXlGC379zlAUT4vn5reMRBI9vmNFXxa9eP0BhRigms4Pbr8giyE+LKErYHC4+21NHZUMvRys6mJQTwa2XZbJ6U7m35CU61Jf7l43F7nRTPCaM/SeHKiHUKjlXzUgmyKDhYHk72w43DmvrWew+1kphRihfHGzEqFdz48IM9hxv4VRtN0cru4aQUx29VtyiiFwu+6++m/7VfihXKVk2O4V3tg4ti5qYE0FmYqDX5HxWUQwffVU1xFT2lkWZw5Q85fW9PPLiLv744DSiQnwBcHSbmZQTwd82lPH9q3KGlGidD6vdhc3hUWKdrO3mp7eMo7yuh/YeCykx/gQYNPzpvaN09dn49RsHePqeSSydlUp7j4XDFR08+uJuIoJ0PLQ8H0mCA2VtPLP6MC63hMniQKtS0Npt5lCTiNNnBvMyDXS8PnLfGdi+GtVlKbhah6dngScRz694EZrEfGzVQ0tifCdfw5Yq+7AyCblcYOGkeN7ZWun1Ylm1HW5bkEBw9TGslfsJueKBIWUvX4eir4GyWgXTZwTg3FMy4j6uPatYOukH/O4Dz/Pz0kkJ/PG9o8N8duwON6+sLeXWRWPQaZXUtgxg0Kl4e3MFWrWClBgjU3IjhxGECyfFE+Lvw6//5kl5y08LYW/pyL4xANuONDG7OIbKBs+zJi7cgEopJzrUwOM3FfHnD48TG6pnQnY4N8xPZ8DiQBAETGYHDqdIcrSRv358HLVKTm5KMD/+827kchl3XpnN/tK2IX1cpZQjCPzXx4f/iTHp2fd1TNg5MqZnwJMEdxaP31jkNaX/OkRRory+l1lFQ0sq/fzgtz+YjNnqQEIAJNbtqOHFD47xxG3juf+aPJ5eeci7+GHQqbj/mrHUt5p46zMPaTI+M5zUOH9qm/uxO9w8dmMRbreEQa/iZE03fno1181LIyTAZ9SSpoz4AAIManytPfSMkj7Zt+sDDAWX0LdvLe5xN/Db1Se57pIMlsxO4e3N5bjcEh/s7aAwfSrKkDyQRDRGX3Y12YkO8+WVnW7qWmtxuSX0WiVLp8chVJePTP6cga2uFL+CBSNuE5QaBtHjFiUC/TQsm5NKZ5/NW6I85DwONydrerh8qift89W1pfz01nFs3lePRiX3jglmF8ew90QLNy4Yw9uby1m92ZPSGBGk4/YrsvD31SCKEjXNfdS3DpAa6yFTR0JKjD97jrdQ1zqARq0gIy6AiGA9n+4c7ocHcP3cZEwH158jf86D29SDT9dJalvCiQ038Js3DxIepOPauansO9HKnYuz2X+yjd3HW3CLEuMyw1g0OZEDJ9uYmBP+rZujXcRF/CfwXyWA7r777lG3dXR0sHTpUuLi4v57DfoPQBQlBgZGN3P8JuH81ZwLueIfKWtDp1WiFCRMptFN4L4pkMll6HzUmC12xAvcV6i/DydruujtHd188JuC/9/v6tuGke7rX305/zv7oEwmkJ8W6k33KR4TNmJs8VkcLGvnTw9MQ0DCarZjNZ+blOrUciw2J2abk5UbT9EzcG5gU9syQJBRS3igD0lRxlEnosnR/ry2rpT+QYfXB+bB5fnMKo7jcHknabH+RATr2V/ayoGyNlYsyODtzeV89FXVmeON3Lc0jz++e5QfXJ3Lb+6aSEVDL30mO4lRRkRRpLqpn3h90LBrS45R+r4kIrd6jD0H7AKl7SK/fesAr94WPywC13uIy4FGshIRpOOS8XFY7S6m5kWyflcty+elMX9C3JCJ/+odbTy2aCZi2fCY7LOQKTUIgozrL0lHKZfx01vGcaKqExHpgqbOVruLyBAd9y0bi1Iho7Khjy8ONrBuVw2fH2zg9suzOFjWRmZiIGlxAahVcooyYvjrxydo7vSUeRl91Vx/SToRQTp6TTZMFgd5qcEUpIdgtbkQJahvHaC6uY9Pttdw+dREspKC+OpQIwMWB0UZoSyclIDd4aZ30E5mQiDrRhkYn23zxOxwUqL98dOr+etHJ5CQmD8hnoOnhg7Ajb5qJAlEUaS3d/Syh6/jm9AP5xbFMDE7goOn2nE43RRmhGLUq5HhUY+UVneTER84ZBIxJiGQU7U9I5aSOF0iH3xxmhWXpCGXCVQ29vLKWg+p+PeMQdu6zcwujEHvo+JIRTvJ0UbmFMeycmMZ2454iAijXs2y2anYHCKPvbRzCBFX3dzPT/+6l8du8qjyzpIehRmhyGUyAv20pMT688SrlRQF+jGS0gZAtJnRuG24/aKAkc3G+w6sxzX5DpRZCxGaj4NCjV9aEV+dMvHO9qEeYoumJNDYPkB0iGFIP1Er5dR0OIkoXIyt7hiC7ML+fzKVFo1KQugc2aMMPArAKKPnPAq5DLcojmpW39plRqtWopDLCAv0oddkx2p38YOrc9hxpImclCAmj42krLYbQRDISgzEoFNz4Guky/nP2a/DanehUnraE2DQcM2cVP747lHMNhc3XzqGX31vPL0Ddn67cg9xYb48sqIQm93FtsPt7D7eitnqJDbMl+suSeftzeWIEogukRfeP8YTt43jQFmbVyk2LS8KvVr+D403/h0T1X/n+/D897UkgUop4xe3j6estpst+xuGfNZ+vupRvZPAY4o+MGD1JG1KEtKZRDuHS6S+zcTxqi5C/LWMz46gq99GVVMfPf1Wfv/ANA6WtdHZZ2VWYQzPrD48pNy2oc1EfloI+emhXlJfJoOf3DyOrj4riVFGXvzgGDqtku9flcvv3zlCXLgf/r5qWrvNDAw6+P5VOazZUsGyqNFJeGdPC4rwZCwzfojZpeMXt0+g12SntXOQCVkR1DT3s2F3LdPyo3jg9x5PrmfumYxa7WL1pnKuvyQNrVqByy15yrTlMiSdEZlt9KAHQa5EbgwBQTbMB8gw+1YO9Qs8dmMhAQYNJosTnebCUzyXW0QmeMgZQfD4lEWF+rL7mEctmxYbgFop5+lVh7DYXWQlBhHop6Gj18IvXtvPr++cSFVjL1Ghvry+6jAPXpvH0crOYYSuUa8mNtyXlRv7vd+9KEko5QJTxkYOS9rTa5VMTPPD+tHoSaayhiPEBi32/uZau8w8//YRHr+pmOfWHCEjPoAHrsnDV6dCr1XS2Wfhs711FGeG/cNj/ouE0UV8F/GNCSQICQlh2bJlvPTSSyxcuPA/ei2DwYDD4cButw9RAQ0MDCAIwr9kSg3nEoS+LXC7xQu2uaKhl8ggHZ7S42++kejZsi/RLV5wUB8e6MOOYy1YbS6U3xJJ6N/7rr6t+Hff17/zXLMKo9m4tw6z1YlcLuB0ja7QcThdKGXgcIjDig8dbonPD44+oKxp7iMp3FNmdH60/FnEhRtwukX6Bz0T27PbV208xRO3j+O+a8ey82gLEhK/vGMCL39ygoY2E8vnpeHvq8GoV9PVZ6Gstge9VsWHX1UhihJ1rQPofZTEhRvYV9pKTnIw7WofQgzBuAY8K/6C7MKvCpWPjjuuCMPpEtFplAQYNNjFC08YLU74bE8dn+2pY2JOOJdPSaS6qR+L1cmknEgSIv3Yur+B7gEbseF+uHxD8M2ZienYFyOeT501E4XOyO5tp1i16RQJEX7ccUUWvQM2clKCR41VLx4ThtXuZuVnZVgdbnKSgnhweT4ffnkaX52KioZeTjf1UZAeyoyCaOSCwC/f2D9ERdFnsvPC+yU8dmMRAhDop0GSoKl9kN3HW7E7XeQmBxMf4YdcJvDiB8eIDvVlcm4Evj4qEqOMvPD+MU7WdBPir+XK6Unkp4ey8bxSnfORlxrM8aoujp3u9CazBBg0RAbrh+17xbREZDKPium//ez4d1xPp5QxKy8SEHC53OD2eLTcOD+DH764C0kaaogdG26grG5kDwjwmA7bnG5A4M0N51bbHU43Rr16aDz1GQiCx2Ppidf2oVUruHRyAnanyKm6blYsyOCqmSmehCeFwN7jrWzcUztiiaDd6WZ/aSsF6aEcONlGeKAOmSDw6tpSIoJ0jM8Kw+USkakurIi0iwKK+HFwZN2IJKvv+CtZVTJAXUs/hemFZMUHsWF/M4UZYcyfKFJe14OfTsWsohiCjVr8taASzfz6+hR2nurjy2NdLJqSgCTBJ0d7uGzJrxCtHaijUrE3DTdtFeRKHL7hhAb0guYCkyVBhp/Bh4eW59PabfYqJEeDQi5DrZTzy3eO8sTt4/npLcU0tpto6jTjcInkp3k+p5aOQXJTgtm4tw7NeUEVFfW9zC6OGVWVkJsSTEV9L+lxATS2Dw4pv33/i0oSIv3QqhVcOT2JD7+qoqXTjN3pJiXGn7njYhm0OKlvM/Hq2tIhJSeiKFFR30tabACn6noIDfDx+BJdIJnxP4l/d7+3OUV2lDSzdmcNA4N2UmL9+d7iLLYfaeZkTTfXzk3FX68iJsyXhrZREvoSAukcsLH1QCPd/TYmZoeRFOXPT17eM0SVI5MJ3L9sLEcrOrhyRjIvfnCMa+akEhmip+R0JwmRfqxYkIFOo8RsdfLprhrK63qYPyHeew5RhHU7q7l+fgal1V34aBQev6nSVp64bTy7jrXQ1DHIuMwwCtLD6B6wUdXYj5A0/HnqhSDD5FbRJyp5d3M50aG+TMuP4mBZO519NqbkRhId5uslOFUKGYIgoNMoOV7VhcvtZnFRMAatDItNxK4IxBkyBqNgon/f2hEvqc6YSqfTB9VVv0I4uRmpux7BLwwp8xK21ro5Ud/ObZdn0tZt4U/vlXD3klxUCplXMXU+VAoZvj4qfnrLOI5WdrJ2ew1jEgKZMjaSjh4LE7LCiY/wZcv+RhKjjSyemsSxqk5auyxkxAeyZGYKB062Ehaoo63bjNnqZOOeOk+J3ZYK6ttMCALkJAdz44KMIcmYCrmMD748TUZcANfMTWNidgQbdtcyaHWSlRjIjIIYyupbSNToYDTVoVpPUICeYzXn3us6rZJdx5qZlh/F3uOtIMAjL+xClCQeuaGAnKQgkL59c7SLuIj/BL4xBBCAVqulqanp7+/4L+Ks909tbS1paWnev9fU1BAREfEv+f981+B0idS2mpiUHf6/bsq/HVHBelxuibq2AZKjjP/r5lzENxRahYzn7p3M25srOFnTTX5a6LCki7OYnh896uBCJhNGHYxp1QrS4wIw2z2T0Ce/N5HX1pVS3dSPWilnRkE0hRmhPLt6eMpJe4+FulYTIJEY5cemvXU0tpu4ZEI88eEGQvQCeo2MXrvI/rI22rosxIT5UpwZjssleu+lvK6XR24owNdHxfNrDvPzJQ+i/PyPHu+R3lZUIbGeyNmv35ePAZfKwJot5XT2WYkLN7BocgKtgy5CfQNxm4ZPxpUB4dT2npu17z7WytSxUSybncpTbx1EpZCzcHICS2anoFbKcTrdPP7yIRYUhDKp6FJMB9YNPV9IHPqcWdS0uJiUE4HJ7KC6uZ8fvrCLp74/iXS1gkA/Dd39Q9UABp2K/LRQfvyX3d7V6qOVnZTWdPP4TUUo5DJ+9fp+bA43PhoFJRUdqM4khE3Pj+LayWFoBCfIFZxodrDtcCMTcyI4XtVFe6+Fz3bXea+153grceEGfnB1Do+8uIvGdhNvb67gpoUZvLq2lNqWfr5/VQ4A+0vbuGpmMjuONHlTa84iNMCHsEAdb3wthrkgPRSny+1dUZUJMLs4lqRII1abG8n32zvo/XqfkiSJAL2Sp+6aSGP74BDVnMXqxE83tPxXJhOIOkOOadVyZIKAwyXS3mNBq1YwszCaIKOWmy7NGGIWfBYzCz0kQoBBw/cWZ1PfOsDW/Q34aBQYdGoGzA6effswY+IDuXnRGO85UmKMjE8xIEmwu7yf6uZ+qpr6yUsNRqdWMH9iPE++cYC+QTs5yUH4aJTYnW56RR2+Gj2ibbiRuDo8kZIWB0eqB7hlwUM4tr54bj+5Ar/Jy9jbpsXtdnLb5Vms21nNu59X4nCJfLanjvy0EArSQwn005AW54/e2Uv/tlX0VR0GSWRSbDYLb7yBl7Y2s/O4R02zbhdMyY3gjtm30/XuE4iW88KwBRkBC++mtFtien40Toce5ApvCuD50CYX0GcR2bC7HrPNRXK0EYVcwDXCQo2fXoXD5aa2pZ9f3zkRm8PNM6sPD1EMrd9dyz1LchmTEMif3ivBbHVy95Jc1u/y+IQ1tJsINmoJD9TR+jXPM61awfT8aN7eUs7SWSk8vWqomspkcWKyOPjxX/Zw86VjmJ4fRXPnIGarg7S4QFq7LZitTqJC9CRG+g3zHGntNvODq3Ooau4jOcqfksoOxmWE4v6WTz77B+38+aMTHCo/V1ZbXtfLb948yBO3jWfFgnT2lbayalM5K+Zn8OQb+4cpgYoyQrE5XDz25z3ev4UF+vDV4aZhJVmiKPHH90r41fcm8OnOGk7WdPPjv+zhriuzSYn2p7XL7C0Li48wcMP8DGQycDhF5hVHU5zsR3Cgnn6HjNqWfnYda2FGQTRHKzrJiA/kwT/s8JY87Stt5b3PT/PIDQWIkoQzIAFk8hFJVk3KOFxKHeBkxYIMlAoZf3j3KG3dFuQyAR+lRFaYQKSvmqdvGcPGkj6qm/qICTNw3+VJpFGDa8+buM19hOmM6MctRp1chGR2Y5xwJX17PhxyPYV/GIqxCzlca+LNDaeZnDWO6KgptPU72bayHqvds5DpcIr85s2DiKLEV4cauWJa0oiq5WVzUlHIBH72+v4h9//xtip+fHMxblGiqcOMxepgbnEsv3rjwBBSe93OGh6+Lh+nS0R2JmHg4Kl2GjtMzJ/gKcUUBCiv76FnwObtf4lRfrT1mFk4MZ73vjjNofIOgowaxmdFoFUp6OyzUNc6wEe7WvnRpLnQ/tcRf4di2kxCNQYOrCtnZkE0U/Oi6OyzYne4PERWbhRPvXWuzc+sOsyz907B7nKjViu+U0r6i7iIfwbfGAKosrKSlStX/ldKwPLy8tDr9WzcuNFLADmdTrZs2cKUKVP+49f/NqGubQCnWyQ65AIrId9ShBi1qBQyKhv7LhJAFzEMMpmA3e0p3WjrtjCrKIYQfx8kPAMds9U5ZP+UaCMxob7D5M9noVHImFkYzca9Q0kUf1819y0by6c7azhw0hO1mx4XwF1X5ngmqzKBzl4rT7y6b8SJklatwOUSCfbXsmlvHYfLO5AJEKhyEGKuRH5wC2a7GVV0LpfnTeS3H/fy2R6PZP+ntxR7o6VdbhGr3YVeq6RoTDg/eaeGm2fdSbw/WCU3wZdm07rmF0Mmf4JSTfD8O2l3il6vgbrWATLiA/nwq9PcNOdexHW/GVI+JtPokM38Pm+9P5REW7ezloRIAxabCwsuVm08xaqNnm0/uqEQSYKD1YOkzZxBZOoErMe/QHJY0KRPolUM4uHfH8JsdZIY5cftV2Tx8bYqymp7+N3KQzx55wQeXVHIxr317DnegihKTMyJYPH0JHoGbPzw+kKcbjdb9jVworoLp0tkw65abr50DHdfnXuG9HExd1wcnX0WZj40AU1XBQMfP4HF1A2CjMSUceReci0lzS4So4zDCJqzn82Ryg4mZIWz+3grggBRIb5UNng8aHaWNHO8ymP83NFn4ZEbCtmyr54DZW3I5TKm50cxMSdyGBFo0KmYmBPBr17bxzP3TqUgPZT4cANuUaKioYeM+ECvOf53BhKEGNQE+WmIDtPz2Eu7cbklDpa1cfeSsV7T74WT4slPC/USRPlpIchkAnKZQHiQjjuuyGLD7lp+/JfdzBkXxw+vy+ejbdXUtPQTbNRy1YxkfHVKnl19mMdvKubF948N8dXYf7KNqXke8nLNlgq2H24iIljH9+dH49dTBqfXIwgC44um0mPIYOvxASbnRlBa08PandX0DdqZXRTDpZMT6O63UTwmjNe/bOHhefdhX/87JNe5Uja5zg/VjO8R6zaws7yfP263csPcHxOmdSKTXMj0gbSa5bz40n7CAn2ICfP1lqeBZzJ9sKydg2XtyGQC01IK6Vj14yGJYY7643Su+jHXLP4Fe0+243JLiBJsO9rC6aYBfnfTk7gaS3HWHwe/ULQZU6g3KbFbXSCApDVimH8vpvXPDylTURhD8cubg+vz57lv0tWsO61h+5EmHrgmD6XSYwYsCJ5J6PYjTSyfm0Ztcx9ZScHUtQ7w7ueVw8rFRFFi1aZyfnBVjtdsuKvPytiUYG9U/KDVxb3Lctl2uIkdJc04XSKF6aHMnxhPkFHD8rlp/ObNg8OIVrlMQHbGs/KN9Sd5+u7JSJLEnhOt/PK1fV5SQy4TuO6SdAw6FZvOS3vMTgrmj++VcO/Ssfz+naO0dZsZmxLyzRl0/5Po6rMOIX/OQpLglbWlzC2O5fV1nmefwyXy6I1FrN1RzanaHvz0ai6bksD4rHDu+t25cl6ZAFNyI3nwjyOXDzpdore86iwiQ/S8/MkJ6lrPvY9qWwb4xWv7+MVt48gKkUjqLMd26BAytY7AzLkYQ+JYa3eREu2JSv/dykPDEv2sdhevri1l0eQE1uxo5aY5P8C2+U9Df8v+YRinLec3H1ZScuZ3Fhvmy00Lx7D1QD2Li4MJqP8Kx/ov6XA50Gj1LC24HG1SLE5BjtFyGPuhcyoft7mP/i9eR93bwWFVIVMyphKRUsjgiW24zQNoUouRhyWz9YSJ4AAtdqebz48M91eanh/Fpr113jHInhOt3Bjrz8PX5fPu1kqaOgeJDNZz6aR44iP8+Pmr+4bdv83h5sUPjrFocgLl9T1MyonkdysPDVM02p0en66f3loMkmccYrW7aOu28Pq6k979xmWGYXd6jh2TEMjVM5J5ZvVhnrh9PGark0376unqs7FuZ41XzXXWT81kzMaYXIT19NB0Mc3YS1AERdFYY+LRGwupaxmgpqWf+HADLV1mTlR346dTcetlWTz15kHvb6i1y4xaKcM/woB7dCH3RVzE/wn8V99FM2bMGDEFzGQyYTKZ0Gg0vPTSyEajo8FqtbJ9uycpo7m5mcHBQTZt8sQrFhUVERAQwIoVK2hpafFGvKvVau644w7+9Kc/ERAQQEpKCmvWrKGvr49bbrnlX7zL7xYqG/tQKWWEGL975sMymUBEkI7Kxj4WjP9ft+YivkmQyQR6zE5++vJeBs8jesIDdfzs1mKevWcya3fUsK+0FbVKziXj45iQFY4CaVjp1lmIbpHF05KobuqnsrHP+/dbLsvkpQ+PD1lBPlXXw4N/2MGDy/N4b2sldy8de2YyMvzkMwuj2VnSzDVzUtl5xhT1tnnxJLVvwVm+C2/rO+qRlX3Bo1f8hAffqMBqd/HC+yVcPTOFFz/wGF2G+Gt56cPjTB0bxdJZqXy0r56ufgvXz4ont/4Lgud/D1d/J46uJhR+IahCYujb/SHKlGnEhp1L9+kz2UmO9sesDSLixqexN5bh7qzDaYxl0DeOZ9Y2DFsxt9icqJUjv5I+/Oo0y+elU1bbjaTUcd+bp0iMyuOaOan8YtVhGjvO+X5UN/Xz9MpDPH5zMb9+4wA9AzZOVHVR29LP/AlxXDk9CZlMQCbAC+8f8xIuBp2KK6cnkRxj5KOvqjhS0cHNi8YQFar3xLMLAr9fcwR/g5o7iyR6P33+XAMlEVvFHlxd9eQv+Qkvbxm91G/LvgZ+dus4jL4ajpR3MGh1EBrgSSI82xbweFk8+bcDTB0bxZN3TmTA4mD3sWYMOiUzCqJp6zbjo1ESZNSQFhvAXz46jtMtcbi8nR1Hm1k6O4Wqxj6SovxQK+WMkh78rYZnoiMR7KvmuXun8s7nlZTVdNPWY+aaOanIBIG+QTtPnBe/vnpTOVdOT2LB+DjuXTKW59854v0tbtpbx5HydmYXx3Lv0ly6B2y8vbmcSTmR/PL2CXxxqHFEU9XtR5p4dEUhGpWcHSXN/OnOXAY+/jWO7vO8LVqrMYbEc+PCB6nrtZESbUSlkJOfGsKg1cm9z21DLpPx8HX57D7ewgvbB7n18l+i6ihHMdiGKjKVDnkYT75dw+1XZHHZ5ERCA3WU1/ewcnsboghFmVp8zsRlq5XyYaTG+ciMD8B8aveIcfGS04bs1OdMzMxh+7Fzk/3mzkFW7epEr4lkUAph8dhk7n1xN1a7k4eW5/OjF3ejVsq5eUEK4296DrH+KK7eVtRhCchUWjrXv4B7sA/nZ89x6aU/olUVxY6jTWw/0oxblFAqZMwpjuWFh2fQM2DDT6/i56/s444rskctJdKqFTSdRwy8ueEU9yzJJSspiEOn2lEqBB7/8x6Kx4Rx++VZyOUCJ6u7+dXr+1kwMZ60OP9hZD7AhOwIDp8hOiTJsxAQ4u/Dx9uGkhRuUeLNDWU8flMR2440YXO4CfTTkBBhQBQl3t5cTkKEgZrmPg9p9M0PUh0VcrmMk6NEbIMnFSzQeE5Bv/dEK6fqerh0cjx3X52LgIRWJWfHsdYhixlzimMx212jvjsB2rvNXDkjGVGCxg4TA2bHEPLnLDQqBWEqM50rnxiqoGssQ5c5hXsuW8zOUx0UZISN6j/V1DFISIAP+8q7UciDWHrlr5G3HEdm7sEnIQdlSBwPvHKc5q5zqrL6NhO/W3mIP99XjHvHa9hrzpH0onUQ285VyEUn8uSJ2I9sGOmy2Es2UrB0Gi9u8jznJ+Ys4vMDDUwSI9i5oYFdx1u4c3E2iZF+VDf3Dzt+QlYEb28ZWqLpdInsOd7KjDMqx+4+Kxt217JsTuqIv3vw+OkkRxsJ8tOiVMhG9FMDj/q4rdvCe1sruXfZWJ5/+4g3uAE8wQfXXZJOS6eZ/NQQTjf18fSqQzhdIg6nm6n50RSNCcflFgnw09DWbeb1daVoVApWLMigzaKgNXwhBUWLsFTsR6ZUoU4uRtQaOVpnps9kx6DzJMSpVXL8DRpKTney/UgzBp2KBZPieeT6Ap5efRhRlOgzecrJR1uku4iL+L+E/yoBVFRUNCIB5OfnR3R0NAsWLMBoNP5D5+zu7ubee+8d8rez/37rrbcoLi5GFEXcX6N7b7vtNiRJ4vXXX6enp4f09HRee+01oqOj/7Gb+o6joqGPyCCdV+L5XUNUsJ5DFR2elBzZd2yF/CL+adhF+OXr+4eQP+CR9b/44THuuzqXpTOSuHyKJ/JWrZDhdol/1yFLgcTD1+XT3W/jVH0PYQE6FArZMDLkLD78sooZhTH8bf1JHllRyDOrDg8xas1NCSYzIYjfrTzIwknxZyKd5eRFybDt3zXsfKJ1EGXJx8zJn87aPc109Frx058rl9FplTS0mVi58RQPLs/n1ssysTtdBKnsWD7eyeDhjSgDwlH4hWBvrqR3m2fF20fnR1LkTOrbTOg0ClxukdauQfLTQvjjhkbae+WMz5yEyirj9fdODmvX2XupbOwdcVt7j4XoED19Jhtrd9bQ2WcjNlxiy/4GGjuGlsmoVXKumx5NtGaQl26Mxi6oEbRqIkMi2byvnt3HW7j76hxeWVs6pCRswOzgjfVl3HVlNrFhvshkAi63yB/eLeGaOam88H4J/YMOXro7D9NnT43YTld3M+7eVoQLzPLsDhfVTX0EGbU8fnMRDqebsakh7DkxPKbe7nCzZX895fU93L8sj64+G/0mB3mpIZyo7qK5YxC1UoHTLXp9zOwON0FGDQNmB5/tqeOZeyajkAlIF5pdfcshiRK+ahm3XZqB40xJglImo77DxM9e2Tds/w+/qqIgPRSzzTms73X0Wlm9qZzdx1qYmhdFdVM/Bp2alBh/L8F6PnQaBQXpoVisTmYWRFPXOoC79hDO7uH7ujpqcTeX4RsyFrlcxntfVPK9K7L5w7slnu1ukadXHWJWYQyTpyRhUShxx07kZE03mz6rp7mzjJgzir3X153k7qtz2HeijdKaHpbPTWPboUZ+sCQX8EziEiJG9zMsSvHDUfPZqNvFphNkpIxj+9dCkGw2F30mO2PiA/ndykMsnhDG+GQ9bksbL9yayvEmO298Vsm7GgVPXRWDWFOC5fThYaWg4v41SAV38uWhc0pAp0tkw+5aLDYnoQE6/PQquvttF5yw9Q7YiAg65zvkcos8t+YISVFGls5O4cuDjbhFj3Jnz4mhqoldx1qYWRiDr48Sk+Xcsz41xp/p+VFe9QB4lJoffnl61HbsONpMcWY4/YN2rr8kHfDEk//l4xPcszSXjl4r/WY7oQb1t3YC6kmeHD2+W3aeauos+kx2Vn5WTl5yCH5aBZI43JS/MCOM9m4zwf7aYbHxZxEV4stTbx3kRyuK+OjL05TXjfyumJsfivvgByOWT5pLd6BNnsG2I03EXaBvAN772HWyi91lXSRFBZEel8KlofFsONA4hPw5C0mSkDtMWGuGl2oDWA6sJSS1mAFxFGJWdKNyW1Cr5GQnBxMeoOO6GTH4CjYyp/hw67RMShos3HV1Dh9/VcXeE624RQk/vYorpiVhsjqIDNZR2XDus4kNM3ieZ8fPvV+UCpnHePoC6Oqz8buVB/nxzcUX3M/pFKlo6OWT7VU8dF0+VpuLzj4L0aEGgv21rN5Uzt7z+p1WreAntxR7jLn/uge7w41MgJ/dOo4j5R3MGxeHzeFmV0mzl+TKSQpiZuEMdh9vJdxkITtZh1Hvece9+H6Jl+gODfDhlkWZlNX2UFHfy4vvH2NybiTLZqfw9uYKUmID0GuVFz2ALuIi+C8TQE89NfKg+V9BVFQUFRXDTQnPx8qVK4f9TRAE7rjjDu64445/e5u+K3CLIlXN/RSmhfyvm/IfQ2yonl0nWqlrM5H4dwYEF/F/B70mG72m4WawACequrE6RXwUAsozY93/X18HSQI5EmFGDVFB0QgCvHcmoWsk1LUOsDTQh7LaHqQvKnnuvim0dpoZsDgINmopr+/l2bcPI0pgtrrw06t44Jo8FE1bRj2n/fQBxi28jLV7ms+0yTMZGTcmDK1KwfcWZ5GdGITabcZh6cUtk+Gj0WHVBSBaB3H2tOLsGTqREjV+mAc9n8G1c9MI9tcwf2ICj7ywy7siWNPcz89uHYdBpxq2omjQqZiYHcFH20b+LGLDDEhAQqSfN+43JsyXti4ziyYnIJfLKK3u8qhmbshAd3glpoPHvcerw5MwTvkee463kBxtJFgnMHtsMPsq+oetIn+8rZpLJycQH2ngZy/vw0ejoK3b7DXf1islenuHRrifD0vjKSZkT+Xzgw0jbs9LCyU6zJfTBxt5+I87eezGQkKMWlo6h09YzsLtlqhu7mNcZhgut8ivXt3vXUHfUdKMTqvkoeX5vPTBMZKijUQE6fl4exVWuwtBJiCTCSjk300S/ywkCXCLnj4pSYhIrN0xeiLV4fL2C06C6loHuDnSj5/cXHxGbaXgvmV52BwuvjjYyInqLpbOSiE23MCeEy3sPNbC2NRgFhaFYNn87KjndZV9RUBMLq0DDm6YHU+IyswzN6bS3Ofivd3tNHcOsmlfPZv21RMXbmBybgQrN5Z7j48O9fUSpX/+6AR3XJHFhOxwFAoZBRlhtPdYmJ4fxVeHm2ju9Jgjny1TOR9pCSEIPYZR2ynT+jJo95Rl5SQFkhmtw2wXyU6P4k/vlTC7OIa75kWjOfAGA/vPlTvmRKbx6xtuZs3uLlw1h7DXjhyj7eioR6sYmQjZfrSZp++e7E3Cc7hGN+i22JyEB+mGRXpXNfXhcom4LiB9c4sipxv7eHB5vse0vWOQEH8tnX1Wnl51eIhfW6Cflq7+0VNQu/ut3HF5Fhq1goOn2jhc3kGQn5YHrs3DoFN5Svz6bIQa1KOe45sOUZRIjwv0JHeNQGIVpoeO+FsDEM+8Z1wukdyUYFZtOvebdrjcfLanjmvnpvGHd4Z7cBWmh1Ld3IfV7mbP8RbiI/3w06lGvE5xsgH7+oMjbgNPelRMWBIGnWrU+zDoVEQG6/j+VTnsONqMIMCsohhiw3wxW50E6QWevikdQRKp73Hxwe42WrvN6LRKHD2jvxskpw1cI48rzsLqFjhR1cWswmhs/V0o975BZ0Opd3tqRArquLu4bl4aU8ZGIYoSNoeLrQcaON3Qy+M3F7P9SJO3RHEk4t/pEtFrlchlwrASMPCkcLlE0ZNqJ0mjEkY+GgXSmWWv8rpennzjADMLoylKD0WnUfDYS7u5akYyMwujae4YRO+jIsCgQZQk9hxv9QYpRATrqWrqZ+uB4e9MhVwgPT6A6DADU+Qy/PRq/PQqGtsHee3ToYtJ7T0Wnn37MI/eUMjPz6g+d5Y08/hNRYzPCqO1y8yYuADc30U57EVcxD+Ib3s58kX8B1HXZsLmcBMT6vu/bsp/DGGBOlRKGafqei8SQBcBeBJ/TOaRpdFn4XC68VH8449PmUzALnpSazp7rCTHGAn29xl1f71W6R0knarrxWJ1Eh+qRxCgZ9DByo3nUox2ljTz6Ioith9p4jL9BQY4563QGvVqXG6R6+alnTE5NZMYqkbdWYZt50pcvW0gU2BPm0jQortpf/uJEVdW3UlTaK/s4MFr8wDo6LXx1eHGIXJwSYKXPz7Bg8vz+eJAg1fxUjwmnDnjYtGoFaiU8iHpWmexYGI8oiR5FaQqhYyijFCaOgbZdrgJp0ukaEwY9y5OQ7Hndez1x4ccb2+tQrXjL7x4193Ym04h7n6RacCUCVPo0aXz6/dOe8sBWrvNRIf5Mmhx0jNgIzEylNqWcySRKMgRlBrPYH4EyH2DkMsE4iMMQ44Dz+rn4mlJvPzJCW8qmcXmJDMxEI1GMaQE7HwUjQklPFDHgMXB06sODfOCMludvLmhjBsvzSDYqGVdaQ11rQOE+GuRCwJd/bYLrtx/F+F2S6OSuOBR+qTG+I+6Xa9V4uujpKljkNZuM29+dgqr3UOyLpyUwJUzkthf2sbvVp4zDz5S0YHm0kQyL9gygUGbm0SjyMDxT7Bs2YdSEkkOiuKnC67jvWM+fHHUk1rVN2jH6Ds0lGLQ6iQmzPNOdrlFXvzgGCkx/nzviiyiQ/Q88uIuvndFNpHBejbuqWXFggySooxs2V/PgNlBcrSR2y7PBEFAmT0P2+mRJ8tS5iUcP2ThD7dlomw8gNBYgqDRo1cs5NqpEYTpQNjxFo7GoV5XjuZyNPv/xm3z70Ve28Fo34BMo8fqGPk5JYoSdocb/zNkSe+AlRsWZPDHd4eTAwsnJdBrsnH3krG8traUhnZPqZhOo8CgV1OQHsrBsuGeNeAp89p7ooV9pW1cMi6G+ZPiOVreicXuIsiopfHMuYoyQpHLBJKj/WnrHlmtmRhp5K2Np/A3aHC7JY5WeIiQrQcauOOKLMw2JxMyw7+16p+zCDCouX/ZWJ5bc2RIyVZogA/XzUujrdtCbkow+0pb2XHUU9pn0KnwPe/5Y9SpKB4Txv6THrJEpZRxyfg4jHo1P7qhkPe+qKSmuR8/vYpLxscTGaLj92eM1Wua+5meH0V8hB8ygZGj5gXhAoG1gseU/XgLl05KGJEkvmZOKn96v4SYMANLZibj56tm/c4awgJ9iPaxoW1di23nIZBEMkJi+fll17Nyv5b9FT3IfUYnVQEkhRplQPiwRRTw+GTV98K1c1NpauokuO1j7OeRPwCOlkr4/CXU8+7D10fJe59XUnK6E5VSzuziWMICfHjkhkL+9F4Jg1Ynnb1WYkJ9vf3iLHYcbeayqYl8NMIC1LI5qWzaWwfAV4eaWDyKkfTSWSls2T/U0/DwqQ4mZkdyrKqT+5aNpaljkA27a2npNGO1uxiXGca0/ChqmoeX74Hn3T4xJ4KYMAMWq5O0+AA27qnjna3nrv/U9yeOSu7bHW5Ka7rJiA+grNbzjq1p6WfuuDiefOMAf3hgGpqLYv+LuAgudoOLGBXl9b2oFDLCAkafoH7bIZcJRAfrKRslIvoi/u9BkjyJJKNBq1bgo/nHyR+5XKDP4uLhP+3kiVf389JHx7n/9zuIDfNFPkqJ5eziGLYfPVcioVbJkSQJUZTw06m4YX66d1tHn4Wqpj6+PNyIGJM/ajvUycUcrB5kYk4ET945gYRIP6bmRdI/6OC9LyoJc7Uy+OnTHvIHQHRhL9tO17o/EXTpD4adz3fqdTg1AcwoiKa2ZQCzzYUonpsAnQ+ZTKC2uZ+Fk+N55p4pPHJDIT4aBb/+2wHMVie/vH0Cs4tjMPp6Jn4GnYo7F2fT3DlITXM/MkFgal4UT/1gEm9vruCF949RWtNNRUMvqzeVI7ObsFePLL93tFahsXVj3foX7E3l2JvKcX71Mv4HXuHxJSne/Qw6FQG+aq8yqN/sIOg8D7Sd5Sa02TNHvIYgV6KNSWfDnjruvjqXq2YkE+inQa9VMj0/il/fNZG+QZuX/JHLBNQqBU+8tp/c5GDiwodPHoKNWrISg+jssyJJjOrrUtc6QGSQnsPl7Xxx0ONBdMW0JJwuT1z5t9p85J+ASi6QkxQ86vYAg4a81JBR+96lkxOoaxlg/8k21u6o8Zat9A86eO/zSlRKORvPTJLOx5aSLpQZ00a9riZrJrZBE13v/gLLqT1ec1lnVxO2T3/LkrFaAv08pE9arD967VDirrS6i7zUEAw6JZdNSeC+ZWO588ps3vuikgGzA7db4sUPjnHwVDtXz0xBJhOIjzRwxxVZ/OGBacwoiMblknj0pd0c71KhL7x0+GeXPgWf6DTunR+BsOGXOPZ/gL2lCltNCV3v/YqMvh0EqR046k+MeI/2xjLsfd0MBqSBMPIwU1+4gHWHRveTsdpdZCcFIxMgItiX8rpuHrmhgIz4AHw0CmLDfLlzcTb+Bg1mq4sX3ith7rhYnr5nMo+uKOSXd0zgy4MNqJVykkYIeQgwaJhREMOBsnbiwg2Mz45k894GNu6t59CpDuaNi+Wh5XncfnkmMwtj+NN7JSycFD/i70WtklOQEcrRig62H2liXGbYkO2vfHKCvNQQtGr5sGO/bVCrFGQlBPCnB6ezfG4qc4pieOzGQn5yczGfbK/muTVHeGb1YRRyGQ8tz0chF7hzcTaq8xSIMknitssy+d4VWYQH6tBrVOw90cITr+7jjfUnmZgdweM3FnH/NXnMLorBoFUxITsC8BBNRr0GuQweuDafr38dp9ud+KSMXrYkxuRR2dDLFwcbMehU3HVlNvERBnw0CjLiA/jh9QXUtQ5wsqaHjXvq+MnLeymt7iInJRgGe+h+5wlspw94+62jox7b2l9z/Xg/tGoFMn0Acv3IxLIqNhtRpiBwzi3ItEMXVmVaPb4L7+ftnW3oNEoyI5TYa4cTnuAhgWymPr441MB189N55PoC7r46l1mF0UhIBBm1/PquiTy2opDoUD23X5E1TAG67UgTqbH+PHBtHgmRfvhoFKTHeQyjmzsGKa329M2zpWP3Lh1L4pn9UmL8eXB5PiqFHEny/P7PIsioRZRE0mMDWL2pnK8ONxIf4ccdV2Thb1Bzyfh4DDo1iyYnMCYhEICWzkESI/24fUEyb9w/luVFOgqjBIL0YLW5yEoMHNJ2p0ukqX1kTzDweFGFnLewplMrWbXxFE6XiM1+4cW9i7iI/yu4qAC6iFFxqr6XqGD9qAPk7wriwnzZdqwFm8OFRnWxS1wEaFVyJmSFD/OMAFgyKxmtQvYPx4ja3fCL1/cPK3+qbu7n4evyeWb1kSFJG3lpIWQnBfPJds9KV05yEFqlnLPLroIkMS03nKIMz0pqTJgvqzeVY9SrsSgM+GXNwHLiyyHXkvkY0E24mnyzln0nW1m3q5bc5CAGrU7cosT9lydi+vQ3I7bf2dmAS1Dif91TuOuOYhUVSBGZfHysj3Ufn0vpuPWyTGQyAa1ajsly7n5uvnQMSoWMzfvqef/L0yRE+LFwUjwOl8i84ljkcoE9x1uRCQJ3X51LoJ+Glq5B9p5oZeksj2Flv9nO1TOSqWzsHVEtIzqsXGDpF7e5D0GuRHKfGwS6OmoIGKwiIdKPmuZ+Fk1OYOOeWtLiPIPOyoZerp2T6o2rfnPzaaY9MB+xsw5bwzkJuqBQEXLZfXQMuFk6KwVfnZLJORFkJQXSZ7JzuqGPLfvrmFkQ401eu2xqIi63iNnqpLlzkGvmpFLbOsDuYy243R5VU05yMC+875l8Bhg0w+5pyHfkEunosTAmIZDiMWF09Vlp7TajUSsYwX7vOw23W2TuuFg27avD9jVVmUYlZ25xLBqFwKMrCnnqraEpN7kpwRRlhCEh8Yf3SoadOzXWn30jPBsATjf20z1rDL7BsTg7h66Oq8KTaFXFYLA04+wbSZUi4d7/DleMv4a/ba1n3rg4TBYHRWPCOHBGLeEWJepb+3nsxmLe3VrB5wcbCTBomF0UQ4BB4xE/SFBR30tF/VCflMdvKsItSvz5o+OkxviRHuBCIfkQuuRR7E3lSJKET3IRVqWR3WXd5HevH9Ek2nnyS8ibMeL9n4XMbWPlHhM3XXIfts1/HBILr0nIw50wiZ795SMemxEfwOmmPhraBrhjcTZut8iW/Q0cOtXBzMJoZhbG0Geys25XDU0dg3z/qhysdhevrC0lyKjhniVjOVLRgcXu4q8fn+CeJbk0dQ6ys6QZp1OkICPU4wFldTA2JZhFUxJ56q2DQ0yBq5r6KBoTyuJpyZyo6qK6uZ8PvzzNw9fl89Znp2g54wETH2Fg+bw0ymq7efymYpwuEX+DhjuvzOajr6po77EgSlDXMoBfUuB3goaVAT4KgXlFMTglicYOM+t31aBUyLhnaS4tnWZWby7HZHHwh/unoVXJEL+mWhSQGJsaTHZyEJ19No6cWTAYMDvwN6gx25yUlnUTYNAwMTucq2cmM6c4Br1WyU9e3sudi7M53djL8/dP49jpTnoGbKTG+uPvq8bPdxm2htIhiZUAyvSpHGlye5WpKzeeIinayKMrChm0Otl3oo23N59ial40P72lGLvTjVopx6BT8cd3S3h0iojDNAJpKYmIhz/g7suvp1/SEXHVY3S9+4shfUcZGInvrFsY3LEad3eTJ1DB3Iezu8Xjq6f3p98tw+5w0T1gI0Zp50IjDMFu5qtDTbR0mikeE8b7X5zmJ7cUU1nZiShBTnIwgkzg5U9KCfHX8tNbxrH1QD2VDX34G9TMLoqluWOQrQcamFkQjb9BQ1KkkV+8vm+INx7Au59XMjUvkoeW5+N0i6gUMuxON4NWT/nlTQszaO028/TKQ8wdF8ura0u5/pJ0MhICsNpcbD/SxO5jLTxx+3hWbzpFSWUnWrWCaXnRLJwUz5/eKyHaIBJV9RVdr2/zkGuCjJzkIkzBiymtMXP51ETvWKiqqZ+wIB3VTcONsMGj7K9tObctKcqP9h4zNc39F8f4F3ERZ3CxJ1zEiHC6RE439TPxaytZ30UkRPjxxZFmyup6yUsZfcX4Iv7vQCZJ3HzpGMICdXy2pxabw+NBsWx2CgVpIf8w+QPQY7LRMzB0YGXUqwkP1PHZnjoeuaGArj4rg1YnceEGmjsHOetLnhjpx11X5iA7W3EvE7C7JNq7LCgUMsZnhaOQCxSNCSUqxJeX1ldxacFU0hfkI5zcjGg3I4/Nw5A9lff2dfPRtnMri5v21lGYEUpRRhgKycngCOa1Z2GuK6MnYQ5VYh47Spqp2XBqmAR/y/56ls5KYWZhjHfANn9CHC1dZq+sHOBEdRelNV08fF0BZquDB36/w7tt8756kqL8eODafJwukR//ZQ99g3Ym5oSzeGoSu4+PPPl2yzUexYE08vcj1+qHkD9nIVRuZ2LaUsICfSjMCOWVtaVMHhvlNYf9ZEc19y4by0sfHMdqd1Fa20t29jT8Cufj6GpEpvVFoQ+gf/86VCGJnNJNJCMphGfXHBmWXrTzaAsPX1/AK5+cIDrEF5ng8eix2ly8/MkJokN9mZYXhUwmcPx0J2t3VCNJEBNqICRAO2rZg0GnwukW6R10MHVsJJmJQTz79mEm5kQQGay/YMLOdxVahcBT35/Ey5+c8JYDZMQHcPvlWWgVAjKZjNBAHx67sZD2Hou37zV1DPLwn3by4PI8IoJ03sn+WSjkFzZR/dW7lbxw18NYa0rg9A4QBKSUaXRq49h0sIsVgaWMtg7tbD3NmAm+PHJ9IZ/sqOZEVRdLZqUwtziWutYB4sJ8UShkPPbSLu/vwGx18vq6k8wqjGHprBT2HG8lKykISZI4UtFBW7eF6FBf+kx2UmP8ef3TUn50+xjsH/8Em8sBMgXqsDgQZAwc3Ij6sseYnBFIz2sHRmklSH+HUXQrtOwrr8MlBnDtZb/C39GO3dSHT1QqTrWBR14t4e4lY/nrR8eHfL5x4QaWzErh6VWHMVuduFwiKxZkoJAL9AzYeP+L4UbMRl81ljMKLY957SGunpnMxOwI9p5o5bcrD5EcbWRKbqTXL+yLQTspMf4kRhlRKWTEhRu8v5GzOHCynen50fgbVDx550R6Bqwo5DIeu6mIQYuD/kEHrd1mBgYdmK1OfvPmAW95Znigju8tzub1dSdpbPeU0wuj1ix9O2F3iby5sXyIOfqmffVMyArn1ssyefnjEx5D7PPuWRDAicBL7x+n5HQnl4yPxXQmbEEmwIPL83h7cwU1zf0kRvkxKSeCVRvLOVzRgVIhY3peFI9cX0Cvyc7aHTUE+mkJ8FNj9FXTdSbhSiYIPH79r7GW7cRa5YmBV+RcwvEeH17/9FzpUFy4gVsvHYNblHC6RNp6zNy6KIt3P69k9RmPooRIPybnRhAVqkfRspuR87DA2VxB5EQF9764iz88MBX73B/j4+iEgU7kQTEIvsG4RLBVHgAk2j98GoVfMHLfQCyVB3H1d6Acfy0BhmCCjVrccjce1ebIvxdRpcctSpTV9nDFtCTuvDKbFz84RkObibuX5HKsqpMx8YE8dF2+Z7wiwDVz0jhY1obJ4uSdrRVew+1Vm8oJ9tfy45uK6B0YubR5fGY4ZpuD7n47Bp2Kv3x03Jv6KZMJzCyI5vf3T+NQeTsLJyUgkwkMWpyIksTyeWmIosTuYy3ePmmyOHnvi0pSY/z5+Y1jkQ69j7l0+7kLSiL2yn3onTbCAxcRHR3Eup01uEWJzfs8flHPvX1kWDsVcoGxKcGs2+n5nq+Zm8qeEy0UpIfR3W9Dq5YjXTSBvoiLuEgAXcTIqGrqw+kSiQu7cD3zdwH+vmoCDGqOV3dfJIAuwguZKHLZpDjmFsd4U5Y0Z9K+zkIQAJnMsyomlyGJ4ogTbUHwJEp9/6oc9D5KZIJAWW03apWc9btqOVHdxbHTnQQbtahVct7rseB0iVw7N5UXHpqGSiH3RsyLMoFNe+v5aHs1kcF6iseEoVUrGJcZRniQ3jso+kPzAIF+GqZlLSQl1UBURBBlnXY+2ja8dv5gWTv5aaH0mV0X9LdRGgKJDNLx8bYqqpr6Rtynz2QnMlhPSIAPRys6aGg3UZgRxi9eG57GJEnw+rpSrpmTNmxbVVM/m/fV0WeyM3dcDIUZYQyYHVTU9yKNMonaUT7A7JRx2Cv2DNumiU7H3l434nFIItPzo4jrdvPpjmrGxAfSb7LzwLX5/PnDY5RUdmJ3uLl36VhkMsjwM9O18kUEhQqFXzCiw4rb5Jk8Cq1VpFw2CZPFOWJ09aDVyY6jzVx/STprtlSQFG1kxfx01Co5j91YhMnioKy2m60HGryKhGCjlkCjhg27apk3Po7P9gy/j6WzUnh7UzmlNd0cONlGoJ+Gn906DqVCoKapj/BA7bBjvumQK2TYXB4/GJVShkYpQ/wHBu+iKOGnUfDgsrHYzxynVsqQSZ5tKpVAaXU3f/34hLfvvd9j8Zr/rtlSwZxxsfxt/VCfm9ONfcwpjh2xBAwgPS4Au8IXZfoUrFFj6eix0GUVqCjvZdDmRPQJHPE48Jgv++jUWO0KBDwmrO99Xsnk3AgWTExAq1bwmzcPjsgjfH6wgT88MA29VsmBsnZkMoErpiWhVsqJCtHT3mPB7nQxNiUIec0eXK4z01nRhb3lnBeIeHQt9kkrLvjZOkx9qJMKsFcdGrZNHZ/LvlqPV86hyh4OVfYwb3wsGpWR3dtq+fFNRXT32/jDO0e5Zk4qfnoVLrfHK6ap3cSzqz3kj0Hn8VtSq+TMKIhmy/7hJrFJUUaQJKJC9MyfEI9Rr0YmEyiv72FsaojX/+R0Yx+nG/sAjwLsidvH0zdgJ8hPS8+Ajevnp/PSB8e9vj9ncaq2h/5BOyDwwvseQ2uFXMaKBel099uobOglPy2U9btqhxzX2m3mubcP84Orc/nNmwdJjfVHQPi7SZHfFshkAlXNAyMm4+050crY1BCC/bX0mexoz4uGFxF48YPjHDvtUfzkJAezs8RTZpSfFsqxyi5qmvtRKmSsmJ/Br/92wKvgszvcbNpXz9HKTu6/Jo+UGH9ESeKZVeeIALVKzp2Ls/mqwkZnfwZx6dlEhBgwGP0wd7fhq1PRP+jg2rmpRATp+f27R2nrtqBVK5g7LhYEhrzb9Folnb1WLDYXUljAqJ+H3MePxg4L91+Tx5otFeSmhOCnj8PmG0VisJF1O2u4dKyB8wkdV38nrv7zSqUlEZdbom/QTqfVQUFKMfbK4e9NdUwmhxvOvaPNVicqhdz7vvnLh8d47v5pNHcMIiHhcotsO9xEbLiB7j4r248O/86WzU7ly0NN3L1kLK9+WuqNiFcpZCydnXqG7BEI9NPwu5WH6Ow7Z4guihJbDzTgp1eTHud/pozynMJxz/FWMuIDuHxqIhabi9suy+LPH3l8+ioaeon0Fek6uXPEz9VRW0JB/lL2NPQTGaynod1EW7eF5o5BVsxPZ/XmCq9606BTcc+SXE5UdTEpN5I5xbHeNESVUsayOanYHCLqi+YnF3ERFwmgixgZpXU96DQKgo0XLjn4riAh3MCxqi5ESRoWY3oR/3fhdnlShc5GbJ9P/kiCQI/ZwUdfVdHQbiI2zMCV05Mw6pTDVnlFPCld739RSUevlZzkYOYUxxAXbqCjx+JVdZw/qAJPGcfcwhjcLjcSIJfLOFnbw9qdNdx9dS5mm4dMsDtc2J1uMhMCCQ3w8UZbd/fb+HCXx0Po5R/NZN3OU4yGbUca0Y2LZkzuLEwH1w/fQaZAn5BF26CD9LiAUY1VU2P8cYsi1U19fP+qHEwWJ70m26gKlK4+GzrNyAbFXx1u4me3jMPudPPc20dIjDLiq1NSNCaMg6eGX3/tnhbm/GApWhlYy/d5lUDq+FyM05fTvuonI15HmTGNNpMnvH3BpAR8NEq6+628s6WCJbNS8NOrsTvcaDUKjzF3t2eyLLkcw+K+JZeDYJ1Ak1PgsRuLaO0aZP2u2iHf7eHyduZPiKOhbYD5E+Pw06l57dNSOnqtCALkpYbw45uL+Wx3rWd1tTCGnn4bWw80cOPCDG69LJONe+po77EQH2Hg0skJlNf3UlrTTXigjtBAH3r6bby7tZLF0xMx21w4/wnV2v8SkkzGVyUtbN5bT3FmGOGBOnx1Ks9E2jXcKHzU80gSAqA564EhSt4pmCR5TGVheN8DaGgzERmsH/b3s8qUvNQQjlR0DNmmUcm57pJ0lIKEKMKgS8mGQ+109FqJDfPliqlJKLUROPa/P6JSTZk9jxc31FLdPMCsohjmjIsFCdq6zew90cLEnEiaL5AYd6yyg4376mk9o6opqewkOymIhZPi+fJQI8vnpjEmxoDQNXpCmruzHuugHX1yAdbKkVVAg4Ivg1lL8UWGveognomtgDoxn8HsJaxZOfRZo5TLqW8doLPXitMlMikngp0lLfz5w2P8aEUhzR2DHOoaZGJOJA9cm49KKcdmd7Fpbx0x4b5cNSMFl1ti2+FG7+M1MzGQq2ckE+yv5fp56by+7iSt3WYEAXKTg5k6NpJbL8vkQFnbmeekm7y0EJbMSuHwqTbe/6IKu9NNepw/swpjePDafO57ftuQdgsyCA3UERGkJzspiNONfVjtLl779CSPrigkPsKPv60fmkZ0Fp5nn53LpiQgk3nKdr8rBJCIwKdnUtpGwo6jzYzPDEf3Nb88i8PtJX8AVAo5Bemh7D7ewoTsCF771GN6PCknki8ONgwr3wRP2lND+wBXTEv07n8Wd12Zw2d7aoeVPyZFGbll0RieuG08PhoFp+p6eWb1Ob84q93FJ9urqW0Z4Nq5aby5wUP6NncOMjUvis376nFPHw+HPh3xfnWFC1Eb/Fm5qZzqpn52lrSgUsjw0SqZVxzLzMIYGjt7iInNwj6Kd5b2/7H3noFR1Qnb9+9Mn0md9N47CWkkhF6liAooomLD7trXdVddV13Xta2ubV3X3kVsiIAKItJbgJCEENJ7720y/Zz3w4SBIYm793s/z7PrmutbJnPOnDNz2v/6XyUmg559NXyxo5LfXZWNOWI1asBccZjTxJEmJguvRTcS0GLnwWv92FvUjKebih+POnLfFHIZ918zhW8P1LIjvwGLTcRNq+SCGdGE+ruTGKknOsSL7w7WOUoOwrxYPjuW/JNt7DzWREq0D7evSkcuExAE0Hto+OLHSpQKGTkpgbR1D4+6VqoUMhIi9PQMmBAlXMif0yit7WFaWjAqpRy5XCBAr6VjRIFkGhwYV7ULIJgHUcg9nE1y4Gi/fOymPMKDPLBYReQyAatN5FhZO5Pj/MmbHIzJYifAR0tXrxFvdzW9gyZ0aiVqt19WIcIEJjAWJgigCYyJkpoeIoM8nK07/+2ID/PmaHknNS0DxIVOtIFN4KchkwuU1Pbx3LozD5BNHUMcONHC/VdPISncy5l5IJMJNHYP80N+A5Pj/JmZEUJRZRcffHsKUZSYOimIR27M49UvipwPRKcREeiBTIDTj8AWu8SnP1Rw/YWT2FnQSHHlmRyc+rZBtnuoueeKLB5/+9CopqjeIbNLxsW5GDbaaOszM3nyElStVViazsrnkCvwXflbdpUNMWAcYEpyEBt3V4/KM5LJBC5dGM+f3j7srE2PDvZg9XmJP/19jpMzNmyyYbXbOVTSSkuXAYPJyg0XpWKziyRF6Smrc33I13uq6TCp8M29GiHlIuR2I6Jcw/6aYVK7Rdw9/bF1Nboso/QLxxyYysOvHsAuSijkArMywrhicQI3r5zMmxtPUFzVhUYlZ3ZmKCaLnTWZP3GNkMnpMog88OY+wGEz+NUlk/ng21POYGm1Uo5Oo2RGRgj+Xloee/vwmX3w0DBvSjitXQZ8vTTO3J/mjiGmTgri7U0niQr2ZMm0SIJ83VDIZfzjyyKUCjkPXptDd7+JhvZB0uP9iQjywE2rJNBHi0rx8wmgVSjlbM1voL1nmLUXpPDNgVp2FzQR4KPjolkxJEbokf0fqPK120Uig8ZvuQz00RHs5+a0Ap5GgF6Lt6ea1QvjmZYWxKa9tRiMVrKSAlg5Jxad0kEYHyvr5NUNZxrpGtsHOXCilSdvmoLf4tsxbPu7y8BHGZVOd8AUiraeJCnSh84+I6U1PZQ39BIb6kVWUsCo0NtzoVDIXfKMAIqrulgyLYplM6L58Vgji3LDoSAYKBlzHXLvQIobhlg08wrM9SWIZtfmK2XSLAqabLz/w0l+s3oVaXPWIJmHscs1bC3s4csPTrk0AMoEyEz055sDtbhpFBiMNuZlh+OmVREV7IFSIWPL/hr6hyzoPTUMGMz8cKQRSYLIIA/OmxrJMx8eITHShz9cPxWbXcTXS0tbt4Gv91SzemEiT76f7ySZJQmOV3RS/9Zhbr14Mu3dw1y7LIXYMC9aOobYsLOKvYXNpMX6sXJuLDXN/VQ29aNQyHji1um8uP64c5A7Kz0UCTh2qp3wQA+WTo+is9fIB9+W8t3BOm5anvqTbXOdvcMkR/lw30t7eOaOWfi6qcas5v65QZQkp+1uLAybrfh5aUbI/TP7e+49yGITsdrtTI7zQ62SO9cZH+HN52M0T53G4ZI2Lj8vka6+M0qYsAB3Bocto8gfcKh66tsG2V/UzJJpUU6C51wUVXZywcxoZ/V5d78JtVKOn7eWjUd7uGLJr+jf9rrLeauNz0Eek4u9UyQvNZj2boed1GIT0SvlTIr15f5X9qHTKPjLVVcgtFYiWVxVtsrUhZzqELlySRJKuYyWbgM6jYqQvGvxnXk5MqsRuUbHqVYrv/7rEYbNjnyixXmR+OvPqDtXzY/ju4N1HCs7Q0wbjFY+/aGCSxfE4+elJSzQnT/elIfNJlLV1MebG0uc9vTS2h5Ka3uQCTBtcjAalYJjZe384bqp1LcN0HNWPpAgwKULEogP9+ZEVRcymYBcJnDVkiTWfV8+qvFu17EmFuZGcPBEK1NSgvh2v0M1p9a5MT6lDajdHC173zpI5fR4P9YsTuJkTQ/rtpWNEE8Seg8Nd1+eyec7Kpwh1m4aBSvnxhEfIcdgsqJVyVEq5Vit//okwgQm8N+ICQJoAqPQO2imsWOIZdMi/92b8v8MoX5uuGkUFJR3ThBAE/inMNslXt1QNOp1SYK/f1HEc3fOQjkyULNJOINBZ2eG8tqGYpo6zjzubNlfy4ETrdy1OoPH3j7kHMScVn6c/aAi4ZDB6zRKF/LnNHoHzewrbCYvLZh9I7L605AJkJcWRHnD6IdjcEjxmzuGMMpCEebdjpe1D6mtEoWHN5JfLC9tqaOxq5eVc+M4eKKFx2+ZxptflzgftMICHG0jG36scpI/ALWtgyjkMtRKucug8DRiw7xo6hi70SMjwQ+1Uu5sIukfsjAwZKG0rpvzp0czPS3EEexqE5k6KYh52eHsKWyiuqmfBTlhDBiUuGtVeOpVrD/Qwk3n3Ytn50lMJT8CErq0+Qz5TeKBd0qwjzys2uwSO481YrXZWb0gntULErjxolT6hsz467W89XUJzcNuBHn5u8r3R6BOnM6WE2cCKOtaB3ju42P89qopPPaWQ84/OzOUDbsqWb0gwSXHQKtWcNdlGfzjy2KnigscbWH3XZnNirlxlNb2UNc6wNubThIf7s3kOD/sosRty1N5/pMCF1LutNUlxN8dy8/ogXfYYqekuouZ6aE89f6ZmvLeQTPP1h9j7bIUZk8O5n8bbGSziWQnBfL+t6fGzPRZOj2KTXuqeeSGPHoGTTS0DRKo14EAL60/TliAB/ddkUlGnD+SJKFUyJDsIpIoYZbgzU2jCRZRlHju0xM8dUsuATe+SG9VCZLZgDosiX7JnU93NPDoDXmcrO2mtctAdlIAN4/UiNc199PQPkhqrK/zvDsbcplAkK/Ome1xNvJPtrF4WiSzM0LRalS4Zy/BdGLH2DPv6Rfy7eZ2pqRF4bXmSeyndmGsPoZc4448/XzMXpF490qE+PcQHORHRa+JP71dwE0r0mgblFzOc6VCxk3LU9lxpBFRlDhvaiQDBjPRIV4smx6FwWilZ9CMxSqikMtIifbl8XfOEKLXLkvhuY+OYjDZqG7qdw4aAf5863RuXpHGy58Vjnko9AyYaO8x0NYzzCufF/K7q6eg1SjZW9hMYqSexdMiefK9I07CbOvBOnw8Ndx1WQZ//fgYt6yczJ7CZjbtOaN0+WZ/LZmJ/txxaQbrt5cjlwvoPdTjkkAhfm68u6UUuwgffVfGnZdORvj58z9IAqTH+TkVdOciIz6AaWnBKAU4m6s9t0GzqLITg9HC9RdNYmDIQnqcH8crOrFYHfe58b5XN40SDzcVft4aJwk0JTmQA8Uto94rkwlMnRSEn5eGq5cmo1YrnKresdDUMYSvl4a2bsc1+O1NJdxzRRbfHqjl0woPrr7+BQz1J5HbTBCcxJE6Cz+sO8XCnAjiwrx58rYZfPRdKfmlHaxeEM9bX5dgs4sMGCw8u6WZe1c8hrxiN2LzCeRaT8RJSygd9OSVz8ucx/FD1+XyzAdHmJEeypzMUIqr+unq6ycxUs/dl2fx1qYSOnuNbNpbg0wQWDo9mv3FLSRE6F0q08/Gpr013HtFFn9+J5+wAHfuWp2Bj6dmVDYhOBTJc7PC+WJHBQ9fn8fGPVXoPdTkpQY733PN+Sk0tA3y2VlE3cbd1UxLC+am5am8/pWr0slstWMwWjFb7Cjlju8/KtiTXqsKddRkzHXFnAtVUDQmmY4Aby0v3DMHi9WOj5eGLftqae0ycP6MaCeZt/aCFF77spjQAHeWTIuiu89IQXkHH20tw9NdjUYlJ9jP7RdXiDCBCYyFCSfkBEbhRE03guCwRf1SIJMJxIV6caSs479idm4C/3cxYLCMq6YZHLY6Qy1FQeD7I4386e3DVDT0Ut3U50L+nEbPgInjFR1kJgQADiLg99fmoFO5XqJlAszKCOVY2dj2K4BDJa1kxLtmWalVctx1KqanhaAfqVg/Gx46JTmTAlk5N47H3j7MrS8d4Vdv1/KnQ578douFLUWD+Ojdaesexk2j5OipdgxGK0unRfGXO2by51uns3pBAm1dBg6NtBWdjZqWfu6+LGOUesFNo+DWiydTWDGaSFHIZVwwI4bmziEnOQPw7paTpMb6YbOLtHYZWJgbwc0rU5mZEcK2Q3VMTwshNyWQjl4T67eX8/QHR/jk+3KmTgrCpvGiSZ+NfcGvcV/+AOaY2dzxaqGLuuM0Dp9sQy6X8/Weau56fhePvHGQJ97NJyclkNe2NiJb/BsU+mCXZVRR6QwkXsjWI64h1cMmG+UNvSRG6IkN9SI+XM+O/AaUCjm1LWeaahbmRrB5b40L+QOO5qcXPilAp1Zw75VZXLYwgUkxvgT56sidFMTy2bG8903pKEWWyWLnqfePIEn85IDnPw1DRivnTY3ko61jt0R9tLUMy/+hMF2tQuCxm/Lw0J2xBcgEWJIXiVIu4/vDDfz2b3sRBIcK5K1NJTy/roDufkfrkCSJyJFQCCCNEAl2QaCuZWDcoOiuPhODZui0urGuyofnCvS8d9CAysOLZTNiePK9fD7fUYlSISc2zJtvD9Tx5Y9VmCx2wvzduXlFGp5uqlHrvf6iVL4/XD/q9ZnpIcxMD+GtjSX87pV93PncTo402PBbeS+C6iybt0yBavoa9jcpmTclHLskUTeo4qTXLE7EXk9T2vU0qWJp7BcwW+w8eG0OHT0Gvj1QiyjBGxtP4KFT8fgt07jn8kzuXJ3B/ddM4VBJG/uLW5iZHsKCnHCUSjnlDb188N0pPv+xEp1aQU5yIJHBHi7qjfhwb6qb+jGMc61dt7UMBIGKhr5xf9/Kxj6igz2RJIdV5fQ5snJOHH//vGiUWqpnwMQXOyp5/JbpeHuoXMif0zhe3knfkJnclCBqm/u5ZH78mJ/t6aYiIVLvbFUqb+h1uZb9bCEIfPhdGekJ/mMeh17uKuZlO4Lsz1WB6FRy0s+6P+0+3sTyOXFYrSLrvy9jzeIkFHIZ+4tamJcdNu4m5KUFs2lvNZctdKhL/b21TjL8bGjVCh68NgdvdzXPfXyM372yj5fWH+faZSnMzgwdc90eOiUm8xkSs3fQzL6iJpbPjmXxrES67B6YI/LYY0nh1tcrGLCrmJsVxpc7K3nsrUM88sZBUmP9ee7OWcRH6J1hyQDVzYPc+UYpH3ZMojB6LcrFd/PIN0P8bVM1/t5arl2WwoPX5uCuVZKTEkR8uDePv3OYjbur2VfUwtubTvL6Vye449IMp73uu4N1qBQyFuZGjEnmnIbZYncSTE0dQ3x3sA6FQuD6CyehOuv+oFbKuXN1Bp46FTPSQxFFkYr6XiTRUUbgr9ei91Cj91Cz81jjqM85eMLR5hnkq3N5fVpaMKfqepiRHkJ1cx8A1y5L5rkvTuG24CaUIQku71cFROJ5wa9pHnLYu17/6gSiJPH17moa2wfJSgogNdaXC2ZEo/dQ4aFVcsvFaQTotbR0DeHnreXh66eSnRTAp9vLCQtwp6XTNdB/AhP4pWJCATSBUSiu7iLE1w2t+pd1eCRF6Cmq7qamdYDYkAkV0AT+/+M0zzFotDpnx1JjfTl6qmPcZY6e6uC3V2Wzan48vp5qVHJhVNixQoDZmSF8tXv87AVBEFxmwxVygdsvSUcA1DJ46rYZfLGzit0FTUiSRF5qMCvmxOLlruKLH6uc2SFGs81JTnz2QwWP3DCVHUcb6egd5q7LMmnsGOSvH59Rr6RE+zgCWc9Berw/Ph4a9hW38PANeRRWdNLWbSA61IuEcG86eoa5cblj4LrjSCNmi42MBEdOB4DRYmNGWgjfHHDM/NtFiTe+OoGvl4ac5EDiwrwZNlmxWEU83FQcKW3DZLHz6Vmzkj0DJl7bcIKVc2OZmR6KpFRT0jSITjt2aDfAginhfP5jhUvWUFPHEB46FVq1gofX13DjebcR4SUimA14+geyt3yQdz4oHTWoBKhr6efqpUl09Zt4cX3BiCnCEXx7elCaFuvHln2uv60gwIz0EGZODmXIaEXvoWbelHBmZYTS3mNAIZeRGuOLzS4yKyOUgvIOTtacUYf0DZrpGzTj4zl6oPafCrVKgVIuH0VonYbNLtLVZyRE/78PthZFiRC9lmfumEV92wBmix0vdzX5pa3sPu5QitS1DNDbb3Y0Po1sk0ohY25WGDar628tl8s4VdeL/Z9MJAgIDAw7iK4X1hVw+XmJNHcaeH1DMRabOHJse7moYYoqO9mwq4pn7pjJvWuyqG7qp7KxF39vLVMnBdM9YORQiSsBG+ijY8bkEJ5474xFymSx8/znJzk/L5yr1/4V+0AnBoOJYaWebacGiAr3JUCv5an3jnDzyjTe3lLGPVdk8d2BWvJLSxBFR+iyTqskItDdeZ2QJPh6TzWb91YzKcaXS+bFo1Y7ApyvOT+Zli4D7d3DbDtYx/GzSN+Smm4evSGPj7aecpmdD/ZzrXMGSIrSk5MchEwmUF7fgyhK+HiqR9lnTyPIx41paUHEhXuz+3gTi/OicdMqMVlsGMexMJXUdGO22tl2yBE6LRNgRnooMyaHOH47ASobe5mbFcZDrx3gqiVJLJ8dwzf7a8+0gPm5cfOKNGw2kQevzeG5j4+h91D/V9TAm20ih0vaqGrs474rs/k+v55DJxzH3fS0YC6cFcM3+2uYnRlGkJcaEJAEh7pSIRO489LJvPK5Q+V4y8o0DhS34KZV4uGm5oNvT/Hw9bls3F1NkK/bmGq3JXmRNLQN8O3+On6/NofbV01G76Fhz/FmclOCXEjEtRek8NkPFc4AcHDkfj370VHuuzKbioZep9IHHKrJAL2OviGzyzqSo3z4ek817d3DRAR5snJuLOu2lpGR6GgFffPrM2q/vkEz72w+yfnToxwZXudAFCX2l7SzvwSiosPISgqgvWeY86dHs367owHtD9fnsmhqJI+/c3jUPapnwMSmPdUsyIngu4N1zMkKQ6mQMT87HHedkrzUYA6VjN2UqVCcOQL3FjazYk4cof5uPHPHTKx2x/3QZLaxaW+N00Y2MyOES+bFo9UoeG1DEQ9fP5VDJ1rZM0aY9GnsKmhi+uQQNux05OXpPdTMzgilprmP7KQA/L21XLUkCZkgUN86SFmngCHuKnIX6TB0d6L08KbNqOSPb5XS3jNMsK8bNyyfxGNvHea+K7PZvO8wx8o6SIzQc+2yFBbmhtPVb+bpdw47z8Hiyi6+P1zPPVdk8vVuR4PYwRMtJEckYxkjW2oCE/gl4Zc1wp/AP4XVZqektoepyYH/7k35f47wAHfctUoOl7ZPEEAT+El46lS4aZXOpoyz4eWuwl2nRKmUs+fgmdl4m136SRWGUiHDTa3AU+3Iahmr6UoUJTy1SuZmhbG7oGnM9czOCiXU342H1uai0yrQqhVsO1RHUqTe0XwkwFXnJbB6fjyC4AjhtIsSvUMmdh4dPZt3Gidrunnw2in8kN/IJ9+X85s12S7/b+oYYnFeFACJkXpmZYSiVSsI83fnkTcPYrbYOVzSxlO3zeS7g7UUlHWgkAnUtQ7w13UF5KYEcuvFk1EqZNS3DqBSyvj9P/ZjtYo8cmMeB060uNgBuvtNdPQNo1LKKSjvYHdBE6IocfflmfzhtdEtYACb99YwLzucZz44yvLZsWjV44dBZicHutiPTuO1DcXcc3mWIzvh+3rsosT0tGCWBfnw3bEaZ4PUuQgL8MBotmMXJS4/L5HdBU3YbCKLpkbyxY+OamtRlFwe9mUC3Lk6k6qmPl74pACz1Y5CLmNOVig5yUG8vekEv1qVTlVDH7sKmpDJBKanhbBiTiwvf3rcqWxyBKn+fBRAWpUcrfqnM4vk8v9z+yOKEnIB/vFlMVabyKKpEeQkB+GmUWEXRS6Z5wgaNgxb0KjkXDgzhjlZoSjkAnK54BIObxUlNu2tYdWC+HFtjwF6LXK5wPvflDI4bOFXl0zGy13FgMHqPMYXT4vk6fdHN2yZLHZe+OQ4a5elcLyiY6S9p4E/vnWQ36/NdQmBB1gyLYrPdlSMSXR+e6iRlNgAth3qZ8m0KMJ83clO8+TdzSepaR4gMVJPaW0PNy5P5dUvilzW29QxxDMfHOHFe+bgr9e6tgJJoFLK8fHUcLTMoRbUqhVEBHnQ2D7oQv6AQ5nw5tcOVYPVLjrJ274hM9EjSmSdRsHdl2VS1zrAroImbHaH7VMuOPbxdD7I2TidY/Kbl/aQHu/H9RdOwmZzkFc/lYcGDgXi0LAFmQB3XZZJRUMvz687hsUmOs9BR06MnTe/LmFedjjP3TWbjt5hZDKBrj4T739zkquXprB+ezlXn5+MWiFD81+SP6JQyGjpMvDEu/nMygzlnisyAYc6auexBjr7TBwr6+CC6VG09gzz6Q8VtHQOERHkweoFCdx56WTMNokHX91H/5AFrVrB/ddM4c2NJfx1XQELcsJRyAXWLpuE0WxlX1ELCrmMjAR/yut7nTankzXdLMiJ4N4X92CzO8i28EDHceamVeKuVbqQP6chSfD5jkqWTovi3ZGWP5VCxt2XZdLZa+SPN+WhkMtQymU0dQ5x/yv7nMtWN/czdVIQFpvI/OxwXlw/uo4cHJbCRVMjiQn1GtMqJxPATavg/OlRWG0iD/x9n5O86O4zYbOLoxRUp1FQ3sGSvCjS4vzYc7yZ37y0B7sooVUrWDItkl9dPNnZtHUak+P8XHLzbHYJk8WGt4eG9dsrqG3px1+vY9HUSGJDvZ0E0LDJytTUID7eWkZ7j5Gn3z/Cb67MdskZOhdDRite7mq83dVMTQ1iTmYYcrnAjPRQnv3I0fKXHu/H8tmxpMb6YrWL1PdJ7P22jdLaHsyWVpcujdZuA939Jrzd1TR1DDp/4/KGXiobe4kK9uSVzwpHZR/aRYm3vi7hpuVpdPUa0agU2O3/BSq8CUzgf4kJAmgCLjhV34vFKhIf9ssjQGQygcRwb/JPdXDZ/Djksp/PgGkC/2+hkgvcvTqDpz444jpglwncvToTtUyGIDgegk7jWFk7ly1MGNUadBpLp0WiVgjYbP/k4USUCA9wIy81aNRsv7+3lkW5kRSUtbP1UD39QxZSon24fFEiaqWA3epYt2gXnRf/ououXvykgN9dnTMueQGOAZ1OrUSlkDmDPVfMiaVrxGc/OGxBECR+vzaXutZ+Nu+twWKzc8uKNMwjs212UaJ7wMjOY01oVHIumRfntPkcKmlz2Z/mziFmpYeyPb+BV78o4u7LMyko6+DoqXZUSjkLpoQzOd6fZz444mKr6x0wj2u9sdklegdMNHcOoVTIaGgfJD7ce8wBwlj2BXAMVr/aVcntl2YwLTUYQQCZXMbegkaWTo/mtQ2jcwxkMoGZ6SF8+F0ppbW96D3UI1koVqKCPclOCuBYmeM79NdrnRkuC3IiOFXX7VJ/bbOL7DneTESgB4/dPJ3mjiH6DRb6RkK+P9tRQXigB7etSueZD44iE8DPWws/o/4hlQwCfN0I8tW5zM6fhk6jwGcMK+P/BhqFjEsXxGMwWhkctvKns4K5v6KauVlhvPrAAkxmO5/vqOT+V/ah1Sg4f3o0s9JDkY9k6UiSQ7W29WAd15yf7KIMAIci767LMrBY7c7jbuvBOm5ckYoMAQ+dCkFw5F2NpSQDR66UXC5w8dw47KLEj0cdZPArnxdxx6XpnKzp5vDJNmQygdRY33EDbwEqRmxJz350DLlM4KHrcqlpdih6VAo5CrmAwWgdZUs8va8fbytn+exYSmt7nK9nJQYwKyOUZz48wvLZsYQHemC12ZEJAm3dY1sw6lsHaOs24OmmYtmMaL7ZX0tJVReXzI3jx2NN3LwilU9/qHAZSG/cXc3ewmb+eFMeVY19HDhxRvWgkAvctCINo8mKKEocL+9kR1Ajg8MWrlqS9JNWLG93NXZRJHdSEAE+Ok5Ud1Pd1Me1y1Lw8dLQP2Thh/wG1m0rY/nsWL7cWcXOY40YzVZ0GqWzkenSBQlsO1RHZWMfaxYnEebv9l9hMdcoZZyXE8HGPdWYrXZ+yG/gh/wz16gHr83hxfXHmZsVyrHyDv72+Zm8vI5eI0dPdXDfldm0dhuceXFGs43n1xVw/YWTEASBls4hOnqNeLmraWwfpKvPiM0usf1wvfM+JZMJnD89mo+2nnKeK698Xshdl2VS1dhHW7eB6qaxM4rAcR6lx/uzYk4sPp4aQv3d2bCripM13USHeLJqfjxhAR64aZT84fpcegfMfLmzkrbuYQTBQRICYzaVeburWTQ1EoVc4LZLJvPQPw6MIoOvWZbiaChUK1n/fYkLebH7uENBMx4kCXy8NLy75aSLQspotvHVrmqWz45hZnoI+4ocmUhhAe5cPC+OZz88QypPSw1mwGDhqffynWRLR6+RkzXdrJofz9ysMCw2O5fMi2d/cQtqlYKLZsfg7aHmq12VpMb6jpspuDAnnJzkQDLi/WnpHMJDp+TdLaUu7aHfH25gb2ELf7p5Gt8drGXelAi+PVDnfF44Fyequ4gJ9aK1exi9p+O4ANhX1MKkGF8X1ZZSIUOllDNsstI/ZMHbQ42nm5JAXx3mnwgvn8AEfimYIIAm4ILCyi70Hmp8PX8Z9e/nIiXKh2MVnZyq7yU12vffvTkT+A+FJErEhXjywj1z2LS3hsb2QSKDPbloZgzuajmiKGKzCcyYHML2kQfjzl4jdlEaszo6MUJPVmIAtp8gYM6GTJS48cJJLJgSzub9tZjNjnrj2ZmhbN5XQ0FZBz39Jiw2kWNlHRRWdPLUbTMI8FS7kBommyNbRpKgurmP1BhfSmpc5fYalZybV6ah0yj5ek817jolf7wpj+rmfpo7h9BplNx/dQ6ebipsdjvrt1c4ZwZ1GgVGs+vDnMlsx8dTQ3igh0sd8Lk4VNLKvWuy2T7SBvWntw6RmeiwhsWFefP5jgqsdnFUppJc/tMmC1FyqGzK6nsxW+xctTSZtzeV0HBWTkNkkAdBPjoUcplzYBEf7s3KuXG4a5XY7I7Z2tODF7VKzhXnJRKg17JsRjTfjWSinP7+7r48k/XbyzlW5thfo9nG+9+U8rf75vGntw+xan48S6dH0T9kYe2yFJ79yNEulzspiKfPUSH5e2u5Y3UGPx5t5KOtZdjtItnJgdx/TQ7vbTlJbcsAje2DtHUPExPqRUq0DwqFgPQzMp/YbCJuShm/viKLR14/6NooJRO494qsMS2S/xvY7SLTU4No7DTwxzcPjfp/fmkbF82O4cFX9zsHKAaTjQ++PUX+yTZ+syYLuSShlAtMSwvm0+0V6D01PHRdLrsLmmjvGSYy2JPFeZH4eKjp6jMREeTB2mUp1LUO8N7mUgL0Oh65cSoyAZfjcSwMm2z85cOjPPGrGc7XegZM/Ontw0yO92NedjjuWiVymTCuEgnAXad0WqHsokRXn6MyuW/ITE1LP1csTnQSGmMhv7SN6y5IYfWCeL7YWYUoSlwwM5oPvi3lhoscQbCnySO5TGDptChuXpnGG+cExK6cG8fRU+3sPNbEmsWJPHxDLjJBhl2UuPPSDHy9NKTF+lHX0u+iDOjuN7E9v4EpyQEszI2gtmUArUZBkI+O/UXNyM7ylG3Pb+DmFWm8+mUx91yeyayMUPYWjraxrFoQz3tbSlk5N44gXzcqGnqJD/fm6z3VtHYZ8NdruXBmDIIAof7ufDlic7HaHHXUANMnB5OdFMAXPzqUKq1dQ+g0cgL/C56tJFHi/BlRHC5tc1qGT2NBTjht3QaMZhsxod7c++LuMdfxjw3F3LEq3eW1AYOFF9cfx8tdxco5cTS0DfD+N6X88aY8Nu+tpfUc8vD6CyfR1DHoomoZHLbyxLv5pET7MDc7bNzJADhDEgwZrRwpbae588y9ZOm0KCob+3h+XYGTLAz00XHLyjTe+6aUwyfbmJMVOub9JisxgGUzotmwq4rPdlQwOc6XJ341nT2FzZyq7cHPS8vS6VEUVTqeNdVKOafOaS6rbOxj1TjZUgBRQZ7Y7OKYYfAAWw/W8/TtM0iO8sFfr2XAYOH5dQXOPC1BgNUL43ny/SOMdRndsKuKJ26dTmPHEL99eY/zPTuPNTrvQW4aBT8caXApfRAEuH1VOja7yMOvH6C730RYgDtXLkkiPNDDhQACx73wix8ryUkJxE2jwF2rHJcA8tCq6OgdJiXah6KzVITWEVUeOJpTr1qahFatYNhkI0Cvo7alH5lMoLvPhK+31tGUaPv5q/AmMIH/DSYIoAk4IUoSxyu7iA/z+sXUv5+LIB8tvp4aDpxomyCAJvDTkCQ81XKuWZyIbaQ+XLSJzmYiUZQI9XMjIdybipGZ/jc3nuCGi1KZnRnKoZJW7HaJhbkRxIR4okD6H2k0VHKB6BAvooI8kcsFuvqGsVhFEsL1+HvrCPFzo7PPyMdbyzCabbyxsYQHrs52GoEUChlHT7Y6FUzbDzdw12UZlNX3uMxE3nVZJht3V1PR0ItcJvDw9VN55sOjLg/+uwuaWDItivNyI1xk4cMmG4E+WjLi/UgI1uHrLqO/f4CrliSxZ4yB109BlOBYWQfd/SbuuDQdvadm1MMk4MiG8XOjpWu00iBAr8VgtDm3+YFrc3jl80IumRePj6eG3gETek8NJosVmQALc8PZerCetFg/lk6P4h8bivnNmiyefC/f5TsyW+yOANCbpzE7I5QFU8Lp7DNisdoJ8Xfnm/21o9RaAL0DJi6cFcNHW8tQyGUE6LXkTgri3iuy+HJnJTa7OEqpcMvFabz86XG6+024aZUEB3nS1DHE0+8f4cFrc/jT24ew2SWOlLZx5eIkAn11WCz2n5EBzAGbVSTAU82Lv57D7uNNlDf0EhHowcKcCNzV8v+j5M9pKGTCmCHKAPOnhPPJtvIxBydl9b20dBmI8HNDtDtsIdsO1vNDfgP7i1qYlhZMWpwfw0YLCpmAMDJ7f+PyVJ754KiLlfTbg7XctDyN1BhfZCMqg/BAD2x2kYb2QSTJMRAdMFiwixIGoxV3rdJFbVhc2UVxZReJEXq8PVTMygx1UWichkyA+HA9R061c+PiSAQBAn20qEZq7A1GK4ZhCz4/QVp4uqnoN1jo7DPx8PVTMZqtdPebWLM4mefXFbhsl12U2LK/lquWJDEpxteZVSWXCUyK8XWqro6e6iA62IuXPndttZuTGcodqzN4+dNCl204XNKGr6eGV78sJkCvw2Kz091v4u7LMvl6T7XzfQajFZVSRmuXgQdf3c+9V2QRHeLJxt3VDBgsjoHq4iQ6+ozUtw7wxlcn+MP1uUiS5KLs6+w18s7mk1w4M4bYMG+nWnBuVhgqpZzzp0fR3W/ioX/sd15ftWqFozrrvwRK4LEb8yit62FvYTNajYLFUyMREGjoGOT5e2YzNGwZUx0Djt9iPLK+f8hCe+8wU5IDyUkJwmIVeeTGqZys6ebgiVa0agV5acH4e2sprurC20PtYkGEM3XmT98+E5nAmCTHvOxw8k+2kZsS5GJ/Ton2YcBgYePuapf3t/cM8/y6Au66LJNnPjjCfVdmY7OJRAV7UtfqUM15u6s5f0YUT76X77x2F1d187tX9rFsRhQ3LU9FoZDx8OsH8fVUc8vF6ZTWdjtI17MszlabSHWTw2p2+JxiBZkANyyfRE+/CZVCxpz0QOIC1XQP2fn+eAd9g2bMVjsdvUZ+yG/gyiVJ1LcOOiczYsO8WLsshcFh65iNgeB4fhkctrBu66lR311nn5Et+2pYMi2Ke9dks+1gnaP8QZK4eUUatS0DfHNWW5/DLnqUa5elkJHgP6r04UhpG9ecn4xMgAtmRvPht6eICPJELhNoaB90knjZyQH848tiFudFuZCBM9JDsNpFkiL1XLU0mec+PubyXc5MD+Hq2GTqWwZo6RzCN1qPbUIENIFfOCYIoAk4UdsyQL/BQvwYQa6/FAiCwKQoPQdL2zGabb+4IOwJ/M8h2kVkgDiGdUshSPzuqimcqOlCo1IgkwnoNEoCfbRkJ/oj2iUk0eHz/1eHs6LgCI8truoiNdaXTXtriAr2ZO2yFB76x36XAVdihJ77rszm6Q+OUNXUh8Umohl56JYrZHSd9dDcN2Rm4+5qHrpuKlv21VBS001arC89A0YqRmTeU1ODOHCiddSsLzhsLLMyQpxqg+lpwZw3NRKsJn59njfmo19ja21D5huOJm45kQtj6DPBtwfqxtzP3ElBFFaMtsslRHjT1W8kQK+lqqlv1P837q7m1osn8/y6Yy7tXm4aBb++IouakfYRo9nGR9+d4o5LM9h6sI4TVZ3oPTTkTAoiJdoHs1VifnY4ouQINn3i3Xwmx/lxpLR9VM6ATqPgN2uyeWn9cWfjyx+uy3UqDcZTUHy1u4oLZ8Zw+6p0tuyroa17mBNVXWQnB3DTilQ83VxtTvHh3tS2DGA027h9VTpajYLa5n683NWEBbhT1dxHXlow+wpbkMtkyGTw8qeF3HdlNuLP0HoiiRJqGZw/NYIluRHIBAGbzf4/In8EuQyT1Y7RbEerVqBRypxtXefCLkoMDI0dPJ0U5cPWg3Xjfs6B4hbiliRhMNvp7jPy6I1T2Xqonn2FzeSfbGP65GBmZoRSWtvD1JRAFDKBdd+VjcoRkyR4Z3MJT/xqBg9dl4soQWVDH0qFjPhwb/YWNZMe7+8MV/1qVxU3rUjlhU+Oj9qmvNQg3LUqpqcFU9XY5xykgmOm/leXTMZPZeLerAEo34Qkiuh0c3j+pqmUdTq+D6tdZPrkEL7YUTHmIPrCmTHsyK9n57FG9hxv4p7LMx1Kon6jy7XobHyzv5ZrlqUgEwQEGQwMWVzUF5ctTODZj46OIg92H28myNeNtFg/TlR3OV9XyGXEhHrh762ju99EbJgXNy1P48CJVpeWvcggD6caSRQlXvr0OK/+dh6ZCf4YjDZ0GgWldT0MDJm5bVU6BqMVmUzgq3OIgNP49kAt502NQBQlYkI8iQz25Jv9tewranYSzTDSwqh1ZMONl+nyc4MkSSiArDg/0uP9KKrsYnt+A9PSggnzc0chl42r5DgNtWr856tZ6aF88G0pZSPKGAdpMYmkKD1N7UO89mUxd1zqUEKumB07po0XQKOSce+abJ5fd8zl+I0I8mDlnFhe+6qY4qouHroul837aiit7WHptCje3nxyzPUNGa109Rvx89by9uYSnr59Jr++IpNH3jhI/5CFRVMj+WpX9SjiXhQlNu+tZU5mGK9/dcLZgFnT0s/e480syovkrXPsouu3l3Pn6gzS4/35ek81fYNmEiL0LJ8dw+6CJhZkB/PSDQkIJ7chVlYhc/dl3srzOdyi5P0d9chkArWtAzz5Xj7ZSYHcunIyKqWcjr5hhk02ZOfWco6CMK6C6tipdhbmRPDsh0eZkxXGb6/MBgF8vTS8vvHEmMt88WMlt69KH0UAyWQyTGY7JouNSTF+PH7LdE7WdmOzSVyxOJGqxj4EoLqxjzsvzeCtTWe+pwC9llnpIWzYVcWtl0zmoVf3j2oN3FfUQoBey5ysML7dX0datM8/2e8JTOC/HxOj2wk4UVDRiU6jINTP7d+9Kf9WTIr2YW9xK0fLOpiVPr4HewIT+GeQJBAECUEQ+MeGYudsdmyoF3dfnomXRvE/GhCIgsA735RyoNiRdXHT8lRC/d257LwEnv342KjBZHlDL3uONzEnK4wfjza6PPAZzSJx4d4u7y+u6qK6qY/5OREszoskMsjTJQh56qTgMTNuTuPQiVZSon1w16lIjvJh+8Fqrknqo2/n22fe1N2MuTKfoEt+h1dwMrMyQthb2OKyHh9PDZfOj6ep00BanGNwsXekcWT57FgkIDzAA0EQRkng23uG2bKvhqdvn4nZYqffYGFo2EKgjw4fLw16Tw1b9tfR2mWgsrGPp97LZ252OHdelomvp5aPt51i59FGHrt5Guu2lTE5zp+6Vkelt6+XlpZOV8sZwPnTo/lqd7VL3e+Q0YpSIUMQBASBMUN4Cys6uXppMgeKW5ibHU5sqBdWm0hHzzB7C1tYOSfWRSkRH+5NaU03912Zzcdby6g+Kw9FIZdxz+WZ+Htr2VfYwuzMUOpaB6ho6EWSfk4GsNE4bY381wySZyDKBD79oYIfjzRiFyVkMoG5maGsWZyETBy9NrlMIDs5YJQN8vQ2qJRybPaxp461GiUmu8jvX9tPV5+Ja5cmE+ij5YblqUgSFJR18Nibh7CLEn1DZuZmhVE2Tn6GzS7R0TtMSXU32w6dUSQJAtyyIg1fTw2XLohn2GRj7/Fmgnx0PHhtDlsP1tHQPkiwrxtLRiwsR8s6sNrsXDgrBqVcRkVjL/56LRGBnvgqjMh+fBlLR53zM/p3fYiiaDv6effym3cdA62leVH8+oosXlx/3GVgm5UYwLS0YP70tsMyd+fqDA6WtLFqXhz7i13P6bP34bzcSMID3IkO8cQmisxYGOKcsQ8LcKepY3Bc5ch3B+u47oJJLgTQjPQQdhc0sXphAklRevJPtvHahmKX0HiAS+bH88n35c6/b7golSGTbSSbzMQf3yp0yV2KDfMiNdZv3NBYuyjRO2jmqqVJ5KUG0zdgoqqxbxT5c89lmWzZX8Ptl6Tzc8ri+lcgiiKVLQP0D5kJ9NHx1a4qLl2QwP2v7OOOS9NHqdNO43SN+NktiKcxMz2E8oZeJ/kDUN3Uz5/fPcyfbp7Gp9srsNkl2roNuGmUWO0ii/MiR50rVy5OQpLgZE0XD9+QR0VDLwMGCwkReuyiSHlDL/OnhFPd1M/z6wq4cFYMaxYlodMoXBQk56K104C/t4aFuZEYzXZaOg3cdkk6vYNmIoM8+GxHxbjLDhmttHYZuOb8ZF776gSrFybQ0D6IQi5jdmaoS7OWKEkMGa1kJwUQ7KcjyNeNA8UtvPxZIe5aJWtzVHR/9jiII8dbdzPUFzN16qVoLkinbWSiRpTgyKl2Z6PldRekUFbXw5zssJHzbfQ9TaWQ4eetGUWmnNk2x/aZLHa2Hapn26F6tGoFN61IHbdZ02C0ulgyT2P6ZEeW3pFT7agUMj7bUeny/7nZYaxZlIjJYudIaTt2u0Sgj4681GBykgPp6DWyZFoUzR1D427vtkP1zM0Ox8NN9V9Dwk5gAv8bTBBAEwAcsznHKjqJDfH6F2YF/rvhoVMRGeTB3uKWCQJoAv8ryGQCdR1DvLjedXa+urmfP7x2gGfvnMn4PVSuUChkHDrV4SR/wDEYWrM4EZPZNmYjGcD+4hZ+e9UUhk02TBY7gzYRTzcVchko5TIunheLyWynrnWA0toeDCYbW/bVkBHvT3vPsEt2iFwuYP0J77zFJnL1+cnY7BL3v7KXZ69PwbL5b6PfKIn0fvcaypV/5MrFScyYHMLmfbUYjFampwUzIz2EzXtr2H28GbtdZNrkYP5863S0KhnVTX08/8lxYkO9uOeKLNJifTlxFgl08bw4IgM9ePajYzS0DxLko+OS+XF46FTUtQ7w6Q8VXH/hJGqa+8k/2YZcLiMuzAur1ZFZYDTbuPuyTJ5+/wgtXQaUSjkeOkeFemffMGEBHqNajJKi9M4mr9P48VgjS6ZFcaqum/R4V9m7Qi7Dy12FyWJDEiWmTw7BZpcore0mOdqX6BAvho02Cso7Wb0wwZlRZLbayUoMYG9hswv5A45w6Jc+Pc5Tt80gNdaXhHBvXt94ArVypE3rl2brlcn4aOspdhWcNaASJX481oTRYuemC1OcvhC5XMBiB7NFZFpqCBt3V7vkWoAjxH1hTgSb9taM+ihBgEVTI2hqH+SRG/IQR4gBD50Sq03k718UuQyyNu2pYeY/ubeYzfZRWWE5KUH4emtZ/0M5pTU9eLipWDotCnediiGjjauWJqNUyCiq6OSdzSfpGTCREu3DzSvT6Ogxsr+42ZnxF+yrQ9lQwtBZ5M9p2Hrb0LUWkBoTREVDHxmJ/hwr7+Ch63Jp7nQMsjLi/fH2UFHR0Mu87HCOV3TS3W8kOymA2pZ+Qv3dx9yvq5Yk09pt4L6X9zpf+3Z/HU/dNgO5TMDbY/xKd3DkxGjOaoiLDPIgLsybJ3+owMtdTUSQB6kxfpTV93C4pA1xxDJ3/YWT6B0woVbKyUkJZGFOBEWVnQwOW5gxOYS/fVY4KnS7uqmfr/dUOwmmsaDTKJibGUZ9m+PasigvEk+dis4+Iz5eGny9NLz/TSkpUb6o5ALif1kDkX2E3PTz1vL5jkruuyqbv31WiHGkSvzG5am8/Fmhy6BbIRe44aJUPt5axr1rsjhe3kFRZRduWiXLZ8egVMh4/J38UZ9lttjZX9zCE7+agSAIDA1buCIwkSfeO8wL98xh9ojCTi4XiAn14mRNN90DJr47WM/WQ/XEhHqhVSvYX9RC35CZYF83LpodQ0yoF0dOtfPN/lrmZoVis0v4eGroGTCNuc9RIR5MTQ3im/21JETo+XpvNWV1vQT66Lh5ZRpatcKZq3UubHaR8AB3vNzVNLQNYrOJ+Ou1vPFVMZfMj+fh66dS3dyHUiEnNcYXhVzGHc/uxC5KPHHrdLr7TQwYLNy0KIKB7187Q/6cBUv+l8y+fiZlvQrmZYext7AFm13E20PNmkWJxId7YxmZaLjholSefv/IqIywtRdMQvMTCq0QP7dRBKvVJqL9iWVgdEafj6eGC2fFsGV/NVMnhYzZvLnrWBNpsX70DpoorupiybRIBEGgsKKTTXuruey8RIwmq/M+PRYMJhtGs425WaH/FS18E5jA/xYTBNAEAGjpMtDRa2RWWvC/e1P+I5AW48vmA3W09QwT5KP7d2/OBP5DIQiCM/9hrHYXmwTvj1FPDI6BTGlND1nxftjHsaScDbNNHGVFaOoYQhSlnwy6tNkdyofFeZE8+Op+jGYb3u5qHrt5GnpPDV39JvoGzKTG+HHpggS2HqpjbmYY4ki+SE5yoHPQW1rbQ1ZSIPknR+fZAEyK8eWT78uJDPJALhNwsw9isY1tqbEb+lCZh7jl5QKCfN1YNS+O1FhfDCYbj755kK4+E1q1gquWJhPs50ZlYx8RQR6EBXrw6I15vPFVMS9/dpz71mRTXNXFgRMtxIR44eOp4YWzCLeWLgN/+6yIFXNiyUjw55K58bzyeSHBfm5kJwUiShIKuYyv91RjNNtw0ypRjlQcg8OekpsSyI9HGymq6GT57Fi+O1jnMlgcq7mtuLKLOZlhVDb0sXJuHHWtA5gtdq5YlEiwnxsdPcOE+LujVMr56LsymjuHCPZzY1dBExabnSd/NYPCik7++vExrlySRESQB0q5DKVCjo+XY2b2SGmby2yr1SbS2DHEjRelIsgEUmP8iA72RCEXQPqf6md+3jBZ7S6z6Wfj4IlWrlqShFYuIAkCte0G3tl8kob2QeZmhfLoDXms/6GCo6UOAmFyvB/zp0SgUsooKO9wIXOiQzy5fVU6e4+3cLK2Gx9PDTPSQzhW1sHWg3VEBXvywDU5PPPhERrbHcuZrXZUSvm4LWcAgb46us+yaAbotczPDndp7OkbNPPJ9+WUVHeTOymQF9cXsHphAlOSA0mO9kGtlLO/uIV3N5/kghkxzEwPZdhkJdjPHawmbKfGDugFkCr3s2bOXViViXz2QwUna7rZU+AYiM2fEs6AwcyXP1ZitYvMyQzjlpWBnKjq5lhZOweKW3nkhqmj1B1e7ir89Vo+/G70NfGr3dXcviqd9T+UMysjdNztCvTRISCQHu/P3KxQokK8ePGTArzcVeROCkKjkvPlzkp8vbTcf00OkgRBfjre3XwSvYeGvNQg+gbNvPxZIQajlYhAD3w9NchGSLysxEAkJIaGrWw7VM+PRxu5/5opYxJAPp4aBOBvnxehUcm5/LxE1Co5T76XT0aCP2mx/nT2GkmM8GHptEjEf+E6/3ODXZJIi/PjjY0n0KjkIOH8zcvrHY2Hj1w/lQMnWmjpNBAV4smU5EA27amhoLyD/NI2MhMCuOuyDLx1KkDi0bfzx1VpnKrtQSGXoR2xVNc09/PYTdNoaBvE20NDS+cQc7LDGDJamTopiKOnHCSqJDGqEay124DeQ8P67eUsmhqJzWbHapN4e1MJy2fHOOvhz4anm4pgP3cee+sQAXodoiTS0+8gitp7htl+uIG5WWF8N45dNMhHx6ULE5wKo3Xbyrjj0gxe21DM5zsqUcgFQv3dSYryIT3Oj5c+PaO6+8eGYh64JofdBU2E62VYe8ZW2SGJ9DdU8dr3VibF+PLg2hz8vbUArP++jFe/LEalkPHMnbPo6jPylztnsbugkYqGPgJ9dcyY7FDlhvi7MWNyMPvPmnSCEXXVkiTWb3dVOtnsIkqljFtWpqH30CAIjny07YfrGTJaR2yaWqalBTM4bGFynB+xod40tA2iVio4MI5qEBy20dtXpfPZ9gqKK7sI8tWhUspRyGUcLmllTmYoEUGe4y7v46lBqZChUyvgv/A8nMAE/qeYIIAmAEBBZRcqhYzIII9/96b8RyA+zAuNSs6+4lZWzY39d2/OBP7DIJMJWERo6x6msX2QEH83QnzdUctxeXAVJVxyN85FSW0POUn+2P+FCSlRgoEh1xm37KQAhs029B4/HdLq763liXfznbOSuZMCOXKqjY++K3O+r7iqC083FY/dNI3eQSMGk43ufhO5k4LYU9hM36CZnSODoeLKzlEWjeQoHzy1cq6ZHYhGsDA9OgmtwsTY9I8Dp+t827oNvPJFEVOSAshIDKCrzxFued+V2Xy2o4Lys6wAAXotj9yQx6/XZFNe30NpbTexYV6YzDZiw715/Kz67rOxeW8Nk+P8+ODbUu6+LJM/v3OYlk4D5093KChuXpFG/5CZ/cUtNI3YvLRqBVcsSsTHS+MczH61q5p712Tx1tclzhliuXzspqW/f17I+TOiCdRrefzmaYgSvPplkcv++HhquHN1Bm9uPOFyrBw+2UZOchCf/lCBXCZwpLSdrQfrGDY5sskWTY3krtWZ/O2z4y7ZFm1dBrbsraG6uZ9pqUFcd2GqI7NI+LnFQP/vYDDZxsysOY3BYSvu3hoqWwb487tn1Aa7CppZkBvB6gXxXLM02Zmd1N1n5KtdVTx8/VRqmvvZW9hMkK+Omemh/OH1AwyfZT3YVdDENecnO2uYn/v4GLddks6Dr+4HHEGxkgQ3r0jjz+8cHrWd50+Poriqy/m6Vq3gnlXJeMmGeX5tHMN2BRvyuzk60ip3orqLC2ZGY7NLvL3pJGV1vQT56UiN9kXCYVF88dPjLirBuy5OYtJPqMIEmQxfby2/eukQKoWMm1emofdQ465V8c3+GpdQ88KKTh64egoRwR68N1I5/87mkzx6Yx7Prytw5vvkpQY7a6nPRf7JNiIC3Xlo7VSMZtu4CoxV8+Np7BgkxM+Nr3Y5asjvXZOFm0ZJW48BrVpBV5+Jkppm9hxvZl52ON4eaooqu8b4VFAp5QwMW3hwbS47jjbw7EdHsYsS/t5aVs2Pp6ljCH9vHW5apcv3p1HJuePSdF7+tJCGkTrqwyfbmJMZysPX5/HA3/cxKz2M178q5uV75zoEeP9d4h/AoSL1cFM5qrbd1aPsXodK2jh6qoMpyYFEBnsyY3IIf3jtgJPUkCQoKO/g+gtTQBRBJuBzVsX3ufD10uCmURAV7EVr9xCrF8YjSuDtoUYuE7hkfjxt3QYiAj0orupCe5Za7Fxo1Qqsdjv1bQOE+rkRHepFU8cgF82ORaWUc8m8OL7eU+Mk+0P93bnnikxeWn8cpVzGg9fm0NJpIC7c26layy9t4w/X5VJW3+OSPwVw84pU5HIBN63SqVbp6DXyymeFrFrgKCIwmm2E+LmRX9pOZ7/R5Z7Q1DHEkMnKk7fNRGvqZHydHEgyGQqFQFyYB/F6kf6eZlAoufa8aJo7DQwZrQjAW1+X0Nk7TEZCAImRevz1Wty1SvJLW8lK8ue83EgigjzZdqievkETCZF6Lp4bh7f76N8oJzkQSXQokxvaBhEEmBznz31XOSzL15yfjFat4OqlSQwZragUMgwmO0FqObGhXmMSbqfRP2Smd9DEJfPjiQ/3prlzCKPZRnSIF32DJvqHzATodfjrtWMGWy+fHYOnmwqZJP2PrcQTmMB/IyYIoAkAjvwfx0zxL2uQMB4UchkpkXr2nWhlxazoie9lAk7IZAIGq+hUqZyGj6eGx27Kw0MtdyGBAvQ6Z/DouYgIdP+X/ehKuYxJMb7kn9V8tWRaFLUt/cSGehEX5j1mKPLF8+J4e9NJZ0uKTIA5mWE89NqBUe8dMFj44NtSrlySxLtbThEb6kXfgIlfX5HFweIWDp9sY9Peah6/ZTrfHqiloLwDnVrJnOww5k/yQirfg7lgE8MWE3JBhnbNIwwoNUjW0QM5uYcvbQbX8yrE3905C7ggJ4IdRxtcyBJBgGuXpfDWppJzLFUCd1+WidliH1d6bxclhk02OnqHOV7eyfwpEczKDOXT7eXOmUxvdzW3rExDqXBs17IZ0ewsaGTqSDPXB9+doqiykwGDmesuSMHXS4skSfh4aVg+J5bPfnCdERUlaO0yYDBa6R4wsed4i8v+gKO6+2+fFXLtshRe+KTA+XqovzvPfniEx2+expZ9dWw9VOf8n9Fs4+s91SzICWfJtCiXIO3IYE8273Motg6WtBEV6sX50yL/r7Rm/SdDoxp/4AegUyuw2CWXQFFwHANuaiXdAya+3V9GY8cgQb5unD89musvSkUuQKi/G9ddkIIgCPzlo2Mu5M9pfLS1jD9cl8u+ohbqWgdQKhyh3KIIVy1N4u9fFHLl4mQeuTGPzXtrqGzsw8dTw+K8SEL83Zx5Jp5uKh6/KhHt8Q8xVhUgIOGh1nFjzsVMiYnltW8dbTs1zf08emMevYMmVAo5wX461m8vZ+WcOB58df8owvaLPY1kLF2Aqb5k1LYD6CYvoFfS8Oj1UxFkAh9tLaOjd5i1y1LGbLRr6hxEqzljaG3qGOKdTSf53dXZ9A6aMZpt+Htrf3KQt7+oldxJwdS39fPYzXm8/GmhM9zXTaNg1fx4uvqMfHrOefbyp4VcMi+Oj7aW8fTtM5mTFcb506MwmGzsK2xmSnLAuJ/psK0F8tePj7kMtjv7jPxjQzF3rs5Ao5Lx1G0zqGzso6K+l5hQL6JDPXlzY4mT/DmN3cebWZwXRUKEtzP761h5Bw1tg6w5LwHZzzCM/Schivh6akiP90OnURIyRoakzS5yqKQVN62SlGifUQHJUycFoVXKQZKQCwIXz4sfl7Cblx2OIHPkz2hUCh5767CTKEyI0LNmUSLvfVNK74CJi2bHMiU5EKVCNqZKdkFOOPsKW/Dz1hIW6IHZaqeqqZ9128qQJJiTFcYD105BLpOhVSuoaelHABZPjSQ93o9jZe18vLWMB67J4XBJG3ZRQhQl/vrxMW5YnopcJqOivheVSuawSZZ3YLZKvP11CTcuTyMvNYhDJW2OY+3LYjQqhz3x0vnx+Htr8PPS8sA1OQgC7DjaSP7JNmw2kQfe3MtT16ej8o/A2jm63Q+ZHO/wWB68XEDXWkT/J+sRjQ4SVoqazJ+vuoFjjSLPfnSM9p5hdBoF0ycHo1LKqWzoY8ho4483TkOSRB74+36So30dEyGeGrzcVDz5/hGmJAdyx6UZfPhdKf1DFty0Si6YGc1jbx92PtNIEhRVdlLfOsCfbpnGMx8cJSlST0KENwaTDatNZNOeagwmG0lReqalBlNU2Tl6f3BMMHX2GkmL8eXhNw66HEO5kwK57oJJSJLEYzdN42+fFXKqrgdwkHwXzYohKzGAfYUtzJwc/LNrxJzABP5vYOI8mAA9Aybq2waJD/P6d2/KfxQmx/oxYLBQVDU6EHQCv1zYJHj2o2Mu5A84zqOnPziK9aznTI1C4NIF8WOuRyGXkZMS5Ay4/WdQyCTWXjCJB67N4c7VGWQn+aNRyTFZ7DzyxkHWLE5kxuQQZ4aXp5uKW1amYbOJLoGpYYEe1LT0j/cxFFZ2YjTbSI7yYX9xC1lJgTz9Xj4DBguXnZfIlKQgPvuhgkAfHc/+Ko/Hr05ifooH8up9mA59hmQZ+V4kkf79G/BZuBbOjSCWKVDOu5mPdrtKyy1Wu7N5LzMxYNRAMyPen+rm/lEtIja7xAvrj+PtPn4GAIBSIcMuSuwraubCWdG8+EkBpbU9zv/3DZl55sOj+Ot1eOiUJEXpGTbaOFbWwcufFTIrI5SHrstl9cIEZHKBgvJ2dh9vorvfRKCPlquWOAJEwfH7Ls6L5MaLUlGr5IQFeHDgxNjqh54BE3K54NI6aLNJ1LYO0tlnYnv+2NXkO482MiU50Pl3Qrg3RpPVhZDYsrcGo9nOv94z998BrUpOStTYbS9xYd7o1HIsNvsoC9Z1F06ipqWfJ97N53hFp0NNUt3NXz48yuETrTR2DnHX87u56akdNLQPOhvyzoUoSrR2GZzWi74hM+5aFeGBHiRH+XCypocho5UXPykgMVLP79fmcufqDMIDPXDXqlg1Px6FXOCOC6JQ7nwZY9UxTktIRPMw5n0fMc2jib/dlsm1CyPxdlfz+oYinvngKH9+9zDvfXOKxXnRlNb1jBmo3NJlwOARhSosedT/FH4RDPqnsv9EK6fqe9hf3EJFQy+ZCQGjKqlPY9exZnzOUiLqPdRMivWlo9eITq0gKtgTk8VGTkrgqGUD9FrmTwnn0oUJdPcP0z9k4c/vHCZ3UhAv3TuX+6+ZwpO3zeREdfco8geguXOI0AB3rlySxKfby6lp7kellGMwWpmaGoybRkmAXjtqOUFwBFf3DBjHVWp+9oOj/eyZD446q6+zkgJ4/O3D4zZP/Xi0kTtXZ6JSytF7qDGZ7dS3DjAwPHZO288aIyH3yVE+qJRyJBxKr7GwZnEiNpvovM4pFTKWTnNUowuShCAT6Bw0M2y0cumCBJfYMpngaIc7VdeDm0aJSinnlc+LXFRiFQ29PP9JAWsvSMFgsvHJ9+U0tA9y35XZowjhyfF+pMb4UVjRwZ2XpmO3iwwaLHy8tcxpq91d0MSf38nnsbcO0dg+yN7jzSjkMvYXt9DQPsT67RWYLHY27a3hvquyCQtw5F4ZTDa+O1CHr5catUqOp5uKo6faeHdLKYZhC8tmRFNY0cEVi5J4/JZp5KUGccm8OH5zZTZebmq+3luDWqmgrnWAlz49zgufFBAT6sWaxYmoFDKSonx46tMyZLNuQFCMvufpF6xlwAzefRUM/fiWk/wBMNcVM7DhSTLDlTR3DiGXCfxmTTbf7K/l+XUFbN5Xw0ffneL+V/bS3GlgamowJ2u6+fsXRTz+zmFO1HSj91Dz/eF6dhxp4N412Tx31yz+cudMtuyrHXNCq2/IzJHSdjQqOXsLm5kc5w8SfPJ9uTO0uayul5RoX7zGuIcrFTLOmxrpyLMTBILPIRnzT7az61gTP+Q3IEoS1y5L4fm7Z/PErdN5/Jbp5KYGoVAIZCb4MzBs+cXF4U1gAmNhQgE0AQoqOpEJAjEh4/tnf4kI0GsJ8dWx63gT2Yn+/+7NmcB/CAxm27iDhebOIQxmG54jsnObTSQz3p8LZkbzzf5a54Olm0bB/dfkoFUI/5IyQxIEKpoHef/bUzS2D+LtrmbJ9Ej8vXVs2lONzS7x9PtHmDclnPuvnoIkgYREQrg3D79+0LmeIF8dc7PCftIaI0kjSnyZowL2k+/L+e3VU/h8RyWvbShGEGBOZigXT9EzcGg9wyW78b/oTjrzvx61LmNdMXJ3b4KufYq+o98h9bagCo7FnjCPN39oo67Vdfa8f8jM2vOiCPd1hFSf+zA5OzOMdzaPrVgQRUdjSqi/u0ul9Gl4uaswW+xIksNG0Ng+NCrE8jQ+3nqKR2/Mo6ff5JDk+7vTM2Di/RF7y+mK+yGjwyZ3srqbxEg9kgQv/noORrON/iEzR091YLY6VEk2u/iTai+bTSQ2zIuS6m4UctlIULeAyWIbNWPu3GfJEYyqUsiYlRnG/ClhnKzucXnP4LAVUZJGhW/+t0OOxN2XZfKXj466BGZHBHnw2yuzkANyuQy5THD5fqOCPfnDa/vHXOf67RU8e9cs598W60+Tt6ebxwD8vbU8tDYXH081ogQr58YyOGwhMzGQddvKWbet3GXZ+dlh/PnWGfiYmjB2NY65/oH9n+O7QEte5494pV5DwSklouTB1ARvJAlKa7vGzKc6jS6zGlKvJii5BVnFLhBF7HEz6XWL4cl3TvKbNVmYLXY27CwgKtiTuVlhbNk/OgQboKlzCG8PNUqFjMlxfiyZFsVXu6r47IcKNCo5i/MiyUwMIDrY02nv0qjk3LJyMja7yJFT7RwtbWP+lHDcdSq6+018vLWM9Hh/nvngKA9ckzMqFNtlX3qNvPHVCacN85v9tVwyLw6tWsHznxRw4/I0nvvoqNN2Cg5CuavPOK5CExy5Lu3dDuXTE+/l8/t/7Oe5u2Y5bJXjwGYX8fVU0zdo4tEb81DIBfYVNVPZ1Mf0lMD/mhBaQSZQ2z7EE+/mO8+h/UXN/PaqKYT4u/HdgTqMZhu+XhrWLE4iPdYXpUzghXtmY7baUSvkqJUyJLuIXC7DLEooFDI8dCoCfbQ8emMerV0OW1+Qr46+QQdBv2hqJC+dU6xwGgMGC43tQ0QFe1LXOsB7W05y56UZ/H5tLsMmG23dBkJHmq9e/uw4f7p5Oht2VaHTKEaFgJ+NH440cMWiRPqHzNS2DqCQy5yWwILyDlq7DSybEY2/txa1So6vp4b2XiNBvjriwr0pq+sZsSc6wsE37a3ho61luGkU3H1ZJmX1vTxxlhV1x5FG4sO9uefyTJ56/wjrvy/nlpVpDJtsrJgTxwvrCnj5h25uv/hx5JV7oKMSmacfXjkXYBvsxqOnjN69n425L7a+doSBVrzd1aTG+nKopHWUXU2U4G+fFfLwDXmcrOliZmoA3joZfQPDZCUGUN3cz6m6HswWG2qFwLARp+pmLFQ09BIR5Elt6wASsHFP9aj3vL6hmMdvmc7735RSUN6BJEFihJ5LF8bz45EGclKCePqDI9xxaQZPvucaEr493/H7lFR3sT2/gc5eI6sXxFPXOsi0tGA0vjoOn2ojJdKXAC8NlnFaBicwgV8KJgigCXCsvJPwQPefTPz/pSIjzo9vDzfQ3jtMoH4iDHoCjgH3T8FkOUMAAQiiyMWzYjh/WhSt3QY0KgV+XhrUin+tEUaukFFY3c0Ln5x54O0bMrP++wraugwsnx3LlzursNhEZx3rabz46zlctSSJF9Yf55aVadjtEgdPtHLxvLhxPy8xQo9KKaNkRDV0qq6HA8Ut3LsmEwC7XUIvH6bzkz9i6x8ZkAkyJMvYiQRDJXtQRGfSlbwKb62MPRW96HtU5Jd3k5MSyNysMHQaJfF6O8aKQ9h3bWSpWodWvpR7L47nxa8qnYSVh5uSED93egdNYzYFFVV2cevFaTz1/hEXFYxKIeNXF6c763lnZ4Y5q9XHQn5pO2svSEEu01HZ2Mcl8+P5euSBdXKc34gC4JBzu46VdaBRyXn0xjw++PYU/UMWZqSHsDgvktLaHl79sojfXjXlJ9thfL00XDw3lmUzogEHmTg7M8xpRxsPfnotv74ii0MlrTz6xkHuvybH5f8hfm7IBIExWs//qyFJoJJJPHjNFAaMVrr7TPh6afDQKVHgaL5UK2TMyghxaQobNlkZHEepYbba6RsyOy0lXf1GwgM9xs0riQj0oLN3mJRoH7r7TcQEe9LRb+J4eQelNT00tQ9x1dIkzFYbB0+0Ogni6BBP5maHU9vSR7CqZdysD3F4AEGpwdJYStfnf+a+K//MUGMFttINgADBc9FEprBp79jHndUu8uS6MkL93ZmWdBEyQSD/QD91rQ6i02SxIxMEFuREkBipZ8v+auZkhnPkLBsqOI5dPy+to93rymxkMoGn3j/iJDxNFjtf76mhuKqLVfPjuefyTLbnNzAtLYiNu2tcVFQHTrSSnRTATcvT+McGR1itVq1ALhdQyIVxiRedVjkqg+vLnVU8dF0uHT3DbNxdxbN3zWZfUTM1zf0OW9+MaF5af5zZPxE6rVbKGR7JZZmZEcKMySEoFTLyJgWxc5xmsNmZoaz/oZwte2sRJYgN9eKGi1IRBAmTTeSnzYk/H1jsEs98eNSFQLXZJZ754AjL58Tywj2zsYsSSrmAWi7Dbhex2yVUAqhGFDmSXUQSBKpaB3hr00lauwwoFTJmpocwKyOUbYfqkSSJGy5KRSGXkRHvT9+geUwVa2qML+dNjcTbQ01ChJ4DxS3sONKA1S7y53fzyUoKYMXsGAC83VX89a7Z9A6aWTQ1klB/N/72edG4+9o3aEalkNM7aMJssePhpnRa/MBh9X3r6xL8vDXcuTqTJ97Ld1EXJkf58IfrchkYtvDIGwedy9lFhzZzw66qUZ9Z2dhHRUMvk+P8KK7qYuPuah68NofXRqyJNS39vLe7k4z4mWTMPx+5TKJ3z5uYa4sIuPg32AfGttEB2NqqCPAJYlpaMC9/Wjjme0QJ1JKJ5y4PQTqxFamzDyF0EuqUORSUe6BUKgj2c+dkTTcalRxvj9EZUKfh7aGmZ8BEbkogJrPNJRz+NKqa+/ngm1KuuyCFi2bHYjTZaO4c4kR1N3Ozw3nhkwIGDBa6+owE+7rR2m046/cxodMo+OT7clbOieVvnxfx6Q8V/P66XEehhclGZlwAWs3EOGcCE4AJAugXD4PRSll9L/Myx38A+iUjMULPzsJmdhY0c/k4Vp4J/LLgoVONUg2chkxwWK9GQZLQyAViAt2dD37/ah2wySrxzuaTY/5vV0Ezj96Yx1e7qsZU9chkAiH+7jx20zTW/1BO8UiuQkKEnjlZYaOabZQKGZcvSsRfr+V3V01h2GzFXavCTSPHYpPYfbyJysY+bkwdPEP+4AiMRSYHcWxyTNB6U14/RFy4F+99V8G9a7J46Lpcyup6eP2rEzx5dQJ9nz6JfajvzH7XFJI0aS43LpnDV4fauHZZCharSGqsL37eWny9tKzbVuaixgr00bFhZxX3XZlNe88w5fW9BPnqSIz04YsfK6lp7sfTTUVylM+oweLZ8PZQ09xhwE2rYH5OOHsLm1l7QQrvf1PKshnRvPBJARKQlRjAlORAZDKBE1VdvPbVCc7LjeCtr0swWWzEhXnx1tclSJLDTnD+9Ci+3Dn6QT8xQk996wDhQZ48//5RrDYRmUzg3iuyEEXJOZt9LsIC3Kls6OONjSecr507i33J/Djnb/tLgySBDAlvjQJ98Mi5J50xw0l2kTWLkqhq6nc2e8n/Sd6bUi5zfsff7q/lmvNTnMHBZ2PptCiOlrWTmRjAshnR/HXdMZ69czbPfHCE7v4ztpXjFR3cuTqDFXPi6O4zEuiro7y+F6tNpKnDwHDU+NZsh/3D8bn+S26hZ/NLWNprz7yhsRQpJIFH19zAA++OvoboPdSAg2z8YgzVnFopx2K1MynGl+c+PsaczFA8dEpiw7yobuon2M+Na85PZmjYSkvXEBqVw+r18mfHx1S71bYMoFYp2HaojphQL/qHLGNa6I6VdTB9cgj+3lqOlbVz4awYDpW0MX9KBN8fHm2HzE4KoGwc9cGxU+2kxflxrKyDgyda8HRzVI1v3F1DXUs/1U19XLYwAZVC5qIOOo0FOeFUNfYRG+qFp07Fi58cRykXeOqOmRwtax9FFk6K9iFAryMjPoCWzmGOnmqnurmfx985zDO3z4SfWQaQXC7DbBeRJFDKzqgIBcFhIxxrQkSU4Ktd1SyYEo5u5LozXtOlXC6junXQpfbdahPZeayJ2pYBLpgZzSufF7GvqIUFOeGsmBtH36AJP28trV1nCIDVCxLQaRW8vamEAYMFmQA5KUE8cE0OVruIWiUnPMAdrUaJDAF/vY73tpRyZKTpb1pqEKkxvuNODCRH+aCQC2zYWcWiqZGYLXayEwM4WuaqSrv8vET+8WXRKGvpqboeeofMfLGj0uUQSI/3d8n1Oxe7Cpq4dEECxVVdtPcM46ZRMD09hMffOUx8uDeRwZ6U1Pbxxc4anl4djLnWQWJJdhuCSjvuxIxCH0RkkDtymWzce+GFU4MJ6MjHsH/9mRdbKjEXbeXR1Y8xqA7g5U8LKW/oJSrYk0VTI8d9VslJCeSl9YU88avpDJts4+YyHS3rYNnMGCob+wgPdCfQR0dtaz9PvHvYSf42dQwS5OdKACVE6jFb7CzIiSA52heAIaMVu13iWFk7GqWCfoOZC2ZG/0utqxOYwH87JgigXziOlbVjFyXiQifyf8aCUiFjcowve4paWD4z2iWjYwK/TGiUAstmRDur0c/GoqmRaBQyxvNYnf3gJ1fIMNtEQEAmgEIYbXkCMFps9A+N36XV1m3Ay109ys4UEeiBTiXHaLXT1W90kj8An/9YwU0r0kiO8uGH/Ab6DWaSo3xYPjsWbzcVMlHEXSXDXeUYINpFR9NQTKgX2Ql+yPLfdPms4erjuCVOxXBqdLC03N2bxmENh0+2ERHkwcVzY4kL9eLHY018ubOKRVOCkZd8g+Us8se57yd3MXPNeUREZPLC+gKXgbObRsFvrszmnc0naeoYItBHh1aj4HhFJ8crOrl8YQIXz42jqqmPdzefxGy1s3RaFHlpwby4/ji3XpyG4qzB/Nm4eG4cm/ZWccvF6VwwI5rthxtoah/ksRunYbE5Krx/d/UUiio72bCrEptdIjclkBsunOSMO0qO8qGte9j5cH34ZBvp8WlcMi+O7w83sDA3nLRYPxAE9O5qCso72LSnmt9eNYUPv3NY/Z7/pICrlyTxmyuz+dNbh5xB3uAIHb9pRRp/++yMMszTTeXcHy93R45MQ9sQSZE+P2lv+CVgvHG3UoBHb5hKS5eBgvJOlAoZft6aURlfAG5apcu6WroMfH+4nqdum8HXexxKFh9PDSvmxhKgd1hWlApHfpDJYqe928Adl2Zgtdmx2SVMFhv7i1p4cf1xHr0xD5VChpebipRoX7r6jWQnBaD19sWmcUM0GUZtj/ukWRjKDqMKisHa2+ZK/ozA3FJBmNjM4qmRbBshTzx0Si6eF8/gsJWkKD1ldaNJmKhgT1q6hgj2c+O9jQ7bpUopZ9uhei6dn0Bn3zBRwV789eNj9J3VTvj7tTmcrBnfCnK8vIM1i5OwixLPrysY9337i1rITg7kw+/KeOaOmRSUdRDi745SIeOH/AbMVjsKucCcrHDyJgXxl4+Ojrkeo9mGSulQm/h4anDXqfB0UxPgo6O6uZ9JMb58tauKuy7P5G+fFroMhpOj9CzKi0SrUrDneDMp0b6kxzvs4D39Jp69axab99Zy9FQ7apWcxVMjSY315aHX9jM0bOW2VekIwJFT7YiixPrt5dx+yeSfRQ21IIANgV0FTWw9VI/ZamfqpCAumR+Pm1KGKAqYxgg/Pxs2u+QcZTjud44TRy44gvstdgmbKPH2OKRBXesAGpUCd62SE1VdrJgTi8FooN9g4fzpUby9ybFcYoQeTzeVS6C7KDmuua1dBm5Ynsr9V0/huwN1/O5ve7n7skw+31HpYhU+dLKNxXlRuGkUzlya01DIZayYE8ubX5fQ1DnEFYsTOV7RyVVLk+noNTqDwB3WXfUo8se5HplsFJGvUsoxjaMKhdPHr4NE8/HUUFrXQ3ZSAMlRPvQOmAABo9lGUqQeVedxTl+1DKX78Uifz8CRb0atU1BqsPtGs3KuFw3tg8SEelHT7KqoEgRYnKHH8PlfRi0vWUwM73oH84zbKB8hcOtaB9CqFc7mw9OQCbD2gkn0DZh46vYZHD3VhkatZG5WGNvzRwdYu2uVeLmr2HqwbswWQIDwQA9mpIcQFuDO5r01jnKI81Po6jPS1mXgWFk7L/9mLsfLO5DLBQJ93Khu6sNfr6WhbZC0aB/s9p8+dicwgf92TIxmf+E4VNJKkI9ubNXCBADISvDnSFkne4tbWZQT/u/enAn8myHZJS6aFY2nm4qvdldjMFrRaRxNEwtzIvhXvDaiIHCguJUNu6rpHTQRF+bN2mUpBOm1COeMVBX/JLslQK/DYnOdwVOr5Nx9WQYKATy0ylHVy5IEb3x1ghA/NxZPi2JqSiBKuQylDGyihNEOnb3DaNUKAn10dPUMs3F3NU0dQ8yYHMS13u4u6xs6sZuAlfdiG+zG3HQmy0Turkex9D5e3dBIc+cQf3433xFMLUpsHiHQZiV7Yd12kPFgrTjAoeEpLuQPOII2X/m8iGvOT+bwyTauXJLEln21TpvIoZNtJEX78N3BOuZkOaxUpbU9PPbWIURRonfQzEPX5fKXD4+62GNmZoQwLS2YIF8dH357ivzSNqanhXDJvDh6B03IZAK3XZLO25tOugwgvj/cQH5pO0/fPpNlM6KJCfVCIXP97d7YeILpacE8+avprPu+nI27DzvJhJRoH1YvSOCD70pZPDWSpCg9Joudtu4hWruGePSmPLr7TNS29BPgo0MUJV79osiFqLh6aTKJ4XpeuGc2CALvf+Mgx86fHolsIvlyTEiShByI8HMjMsiDtp5h7lqdyZ/ePuxCmslkAneuzuDD7065LF9c1cXNK1K5/sIUTBY7uwuaeW9L6Zi5Mmq1HJPZzpa9tZTUdOGmVTJ/iqPJraqxl3nZ4fxjQzFHTzlUBSvnxtEf4MakCx7A/O2ziMNnBo+aqDR0cVm0f/U83nnLMZQfGncfh45vY9aUW7hwVgxd/UYGhy1sP9xAcWUnt69K59mPjtHQdsbGFuLnxvUXTuL5Twr4w3W5zn0pr+/lvKkRPP3BEX6zJovXvyp2IX8ATGb7T1odtWoFLV0GwgLcx1QAnIbFZnde++5/ZR/Xnp9MfLg3cWFenD89CrPFjkatQKUUeGdz6bjrmhzvz/rvy3HTKAjwcePQiRa83dVkJvjhr9cxJTmQP7x2AFGSuO+qbLr7TQwYzESHeBEW4M49L+zmubtm4eut4Y2NJ5zWFXetkmuXpZAW68uyGVEYzY5rcG3LALddko7JYufLnZVcd8EkjpxyKDxKa3uw2cWfxYO3FYFnPnDNz/r+cAP7i1t57s5ZqGUQETR+bqSPpwadWgFIiDIZO440snlfLUPDFlJifLn8vET0HmosVvuYmW2nUd3cT6i/O6LkaNj65PtyKhv7uPXiySzOi2TboXoW5UXy8dYyAPy8NWQnBSKXO2zMDW2DeLmpeGPjCUpre/B0UyEIwqjPlCRYt62MB9fmsv77ckpGlECxYV7cevFkdhxp4GRNNzMmh1Bc2UVipJ6HXz/AtctS8PPWUtc6gI+HGvtP3P8lSRo16VDZ2MvKuXHsLx67ICAjwd/ZHHnJ/Dgigzw4VdvDO5tPOm3O3u5qHrg2B1mXh3O54aoCApbfja23jeGqY87XZRp33C78Lfsqjbz/bSGP35LH2gtSePQsWxpAsK8byq5q7OOUB5ibylFLrvfkf3xZxKr5CTx8/VQa2gfw9tCQEO5ow2vrNoAkcfBEG139Rh69IY/23mGXiSkvdxV3rc5k854als2IHnWtBcf1I0Cv46F/HGDFnFiuXppMXJgXPx5tdCGUVAoZD9+Qh6+7mgEPCwkRegJ9dew93kx6rN+Y+zSBCfyS8HO4D03g/xIsNjtHStvJ/YmK1Ak4LD/Jkd58n9/A/KzQiUr4CSATJc7LDmNWeghWu4hSLkOjlGH/Fxq9JEHgg+/K2FN4JneksrGPh147wB+uyyU+xNNFoqxVyUmJ9nFpq3L+T60gLMCNJ26dwXcH62jtMpAc7cOCKRFolWC1iChkjBs03dJlYMu+GqZNCkQQRayCjC93V/PdgTrnw+Dzd8/miffynSqkgvIurrxyLpTsOrNPNgsdG19EP3s1+rlXYRnoYUhwo8Oi4/UvG2k5S6r/3jelPH7zNOdMu0wQkKSf+N4k0UXqfzZ6BkwE+uhIiPCmpqmfRVMjuHBWDKLoyJpw1yqJCPQY9SAZH+6NRiXn0x/KuefyTORyge5+EwF6HSXVXZTWdgOCs/Fof3ELszJCefqDIzx1+wwa23tHDSA83VTcsiKNwooOGjsGaes2sHRaFLeuTOOtTSVO+breU8P67RUcPOHagFZa28PH28qYmxXGkNFKXesAfUNm8iYFs3F3NXuOH+P8GdG465QIOGZch00O+0mwrxtrFicilwvc/PQOZDKBvNQgrl6aQlP7IGbrTwdQT8AxOJOsdoK9NYiCwMv3zmH7kUaqm/qICPRgcV4ktS0DzsEYOJQ0v7t6Cmq5gGQXUSscDUFjkT+xYZ4ICC6BuYPDVr7eU8Opul5uXzWZ1zaccJI/gT46IoM8eHH9cSKD3LnpvAfwkQ3iKRhRaLRYOurp+Polh+1SEOAnzyGJ9p5hBJUOpUKGSiFn6fQo3DRK1n9fzrIZ0Xi7q+kbMhPm705rt4EX1x+nb9CMQi5zDlob2gfx89YS7OuGVqNw2uZOw9tdTYCPlkVTI/h6z9hh0bMyQjl4ooUBg4XspIBxB/9TkgOdFlVvDzWRwZ5UN/YRGuiOWimntK6HL3ZUYrHZeeCaHI6Wto+ycEUFexIX5sWtl6QR7OtOeX0PnSM18lMnBeLrrWN/UQsPrc3lsx0VPPFuPkG+Omamh6BWymntNIAEZovIK58Vugg7h4xWXv2yiIeuy8VmF9myr5ZdBY3O66beQ83tl6bT3TdMZJAH9W2DeLmrEBDgP7yRTyYTqGsZcCF/dBrHwNtgtLJhVxVXnpeARpCcJMy5uGl5Kmq5gEWElz89zonqM9aqkupuHqk9yMPX52K1iaiV8nFtSJ5uKgwmK5edl0jPoMnZvPb6V8U8d9dsFk2NxC5KDBjM3HrxZJQKGQeKW7DaRRbmRODnrcVstTvvn0G+bqNUOGEB7lx+XiISEs2dQ9y2ajKi6Mjza+4c4pt9NeROCmZBTgQDBjOdfUY27alhcNjKK58XodMomJkeSqifG77eo9vmTqOgvIM5WaHsOHIm1L2t21HDPlaWmFolZ3FeFE+/n8/ivEgmRfvS2WvklXOyivqGzDz0j/18+JssEGSOa4Ek0rHpb+hnXIxH1iJsQ31YND60Wd2p6lOxq6AOm13k6Q+O8psrs3nw2hw+3V5BdXM/apWcOdlhaFQNjK3BGcE5h7EowWc7KpiWFswFIyrpl9YfRyGXMTcrjBVzY1kwJRy9pwarzc6SvEiWz4qle8BIoF6Hu07Fx9tOUVDW6ST4th+ud553eg81t61KZ/12xyTTxt3VPHXbDEwW+yg1kcUm8pcPj/CXO2dR0dDD7MxwGtsHCfZ1Q/qZ2TAnMIH/G5gggH7BKK3txWSxkxDu/e/elP945CYH8u53ZRwubWdG2tgVpxP4ZcFuF1EKZ7JV/hXyBxwtYmeTP2fjjY0n+PMt01wuzDIJ7liVzh9eP+giiVbIZfx+bQ4qmYBSLefKhfHYJcfMl6enlt5eB2kiiiLnTY1wzkKfi7lZYWiUcqwi7Ctq5tv9dc7/+XppaOkyuFjQjGYbB+pszJiyAsvRjc7XJasJQ3URddoUrIo4/vLR0THrp80WO0rlmRjUA+X9XBiXi7l8tH0MQJc8k3CLlVN1PS7BzqdhMNkI8XPHz1vLyZpuPt9RyYDBgkohc2RGzIllQW4EO482YrbYyZ0UhMVq5/l1BZgsdp6qO0J0iCfLZ8fy+NuH8HZX8+dfzaCrz8gD1+QgIVFY0YnVbmfG5BBaOoc4dk7ugyDA3Zdl8u6Wky6D4mNlHeSmBHL9hanOnJ7MRH+efNe1weQ0Khv7uO2SdHoHjXi5qzFb7Pzlo6NOdcbG3dXctDyVrn4j3f1GblyeiqebGr2HmsKKTt4baSkTRYkDxa2cqu3hiV/NYGDIgmyCt/6XYLdLgCOza+XMaOyShExwnN9p0Xr+/tt5dPWbnHYttVxwkmsKAX57VTYPvXbA2RAEDqL29lUZvLmxZMzssIqGXiRwOUcX5ISzeZ+DRKlvG+IPH5ahVSu4KC+EefoGzHvWOd9rrC3GLTEPS9toCxiALm0+Id7+/PHNQ0yfHEzupCA27q4mPc6Ptu5h9hcXoxxpX0qK0rMoN5JZGaF09g2jkDuCsvuHLCzICUcuk3H/NVOQkHDTKBg228hI8CcrIYDUOD82761mxuRQTlR3j7KV3HpxGkaz43vZsreGa5elsK+oZZTVI9TfndyUIHw8NQ5ywOJQA320rYz7r5nCtkP1Lhbcdd+X8fvrcvl2fy0F5Z1o1XLOmxrJ5Dg/fv+PA6xdlsKmPTUUnaU2KKrsJCrYkysWJfL3L4pYMi2SlXPiECWJkuou2roNRId48adbpvHtgdoxXb2SBD8eaWRedhg7j7k2tfUOmvnrxwU8dlMeOo3DOnjRrFi0Ktl/fAORQiFj1zEH+eamVbJ2WQo6jYL6tkF8PDUE6LXYRAmZJHHpvHjiwrz44scquvqMxIR6cc35yYT46BBFkZ4Bswv5cxqiKLFuWzmXzItjdmbomHYghVwgMsiDEH83EiO8+XjrGXVpgF6Hp07JwLCVAYOZm5ankV/a5nJtPq3UWTXvTH7joMGCr6fG+Xd4oAfXXZDCy58WEhbgzoq5sRRWdDE4bCE11g+zxc7hk+20dg2zakE83u5qEiO0vPHVGbvZsMnG94fr+f5wPbddMnncCRsfLw15qcGU1/e63Cfe3HiCP90ynd3Hmtie34DJYicnJZDVCxPoHTDxu6tzqGnpY3DYwjcHxj7H7aLEwaphMhbfxtDWvwMSiDZ6936G3Dcc31W/5/dvFCETerh2WYqT3BswWPB2U4O7g7CUyQSGjTYqG3tRhiaN+VkA6uBYhgX1qNe9PdTMnxLOw68fcJ4zNrvID0caOFXXw52rM9ieX8+iqZHY7CJhAQ711I78cmQygaXTo7hmaQpf/FiJu1bJc3fPpqXTEQxuNNv48LtTLmrFXQVNqFVjx6oPDlvp6TeRGKWnuLqT6GAvQvzcEH9pjQgTmMAYmCCAfsE4WtaBn5cGPy/NL64h5n8Kf28tsSGebDlYx7RJQc5q3wlM4H8CmUygqml0e8lpdPQaMVnsuJ/1QCNJEjqljKdvm0F1cz8na7sJ9XcnI94fzVk18rYRAsp+zqEpSRIRQR4kRupd1AvgOK4X5kQwbLFTVt/Lxt2u1ax+Xlpqx2hb+ejHBiyzUphzSQ66tkJEiwl1XA5WrR9/ejGf3141ZUzy5zQEHNL2wopOfjjezrIbViBrKEY0uqoBVHG5HGsWae50tAttO1TvVOWAg3jRqORs2ltHbJg3ckHgnsszMZpt7C9uYV9RC9Mnh1DbMoBOrSA23Au7KBHoq0PvoXGGSNa2OLImNGoFj90yjQ++KSW/tA0/by03XJRKSrQPVY39TI7zIybUm0Mn2ly2c3KcPyU13aMUEeBoFFs8LYrMBH9qWvqRyYTxIqIAaGgfxG4X8XbXOPIl2lxnhd/8uoSYUC+Wz44hPlyPXRTZfrieTXtHDwx6B80cPNHCnKwwbOceGBP4p7CNWCtPH8mS6GgwCvF2DCDP5HiBQiYgCAKDBjP3XJ5J/5CZqsY+gvzcCA/woH/I8pM1yf3nZHj5e+toPud4MpptfLq7AUNuECvX/AWx7iiYDbgl5GDX6lGW7MHa7UouK/wiUEVNpvR4D2arnZ3Hmiiq7GLR1AhSY32x2iWqm/ux2kR6BkwcKG7l0IlWUmP9mJMZiiiJrJofz6GSVl79osiZj5IR78eDax0NO8fKOtiyv5Yt+2uZlhaMQi6wfHYsMsFBbnm4qciI92fAYEGSIECvRaWU8+qXRdx9eSaHS1o5VNKGXC4wMz2EKcmBFJR3sHFXFXHh3qxakEBvv9FJQH2z3/VYL6vr5S8fHmVhTgTP35OMQu6whW3cVYWftxZBwIX8OY261gGaO4cI8NGybpuDXAjxc+OWlWl8vK2cioZiVs2Pp75tdAD7aTR1DtHUObZC0Wh2KEhsdpG81CCmJAf8LCrgJUCjVqBWyrnvymze/6bURTWjUcl55IY8QvQaEEWmJgWQHufHuXl2coWcwnO+97MLFCob+xAEgWUzo6lrHXCqe8BB/ty7Jhu9h5pJ0b7Y7JJzoK+Qy7htVTq/+/s+/nBdLmGBHlit4ihiHqC6qc+l+am120Cwn5tTdXTZeQm89OlxwgM9WJIXxV8+OHqWkqychHBvHrt5GvWt/fz9iyL6Bs2svSCFIF83gv0cFkKFXMaJ6m7yT7bS2Wfi7ssyeWfzSWfAdIBeyz2XZ9FvMLP3eBN3rs5gaNjK8YoO/Ly0TIrx5YsdlcSEefHQdbm4a5VUNPTy7IdHkMtlzJ8SQUqULzq1YtQ14WzsKu5ElhlG/Kqn0LSfQDL0YAtKpU3U8+l3DVxzfgp+XhqaOoa45/JMqpr6mBTty57CJjbvq8VssSMTYGpqMAtzIth5spO83IsYyt/k8jmCQoX3opsYtLmNKihYNDVy3FKK5s4h2roNLMqNpL51gORoXx5+7YCLjfTUSMbRBTNj6OgZpq51gHc3l2IwWsZc59CwBX9vL6anBVPbOoDJbGPFnFhCA9yx2STcdSq0GgV2m4Svl4YBg9n5rDSBCfySMUEA/UJhs4scK+9gSnIQgvCfL0n+T8D01CA+/L6CI2UdTE0J/HdvzgR+pjgdJDsexrIYiqKEAkgO9yI1So8kSdhs4rjWrrMhCQIfflPKhTNjmJZmZG9hMzabSE5KECnRPoDEhl1VZCUGjgqS7h4wEuijG3O9n+1t4ociDX+6+XwGhy1YrXasJgm7XWTYZMXHUzNmiKO3hxq5XGDl3Dh6B0zUtw3y5Je1PHDxI6ir9yHWFyBT6xBTFlEvBfHCF5XYRYljp9q5d002rV0GZ+jm7MxQ9B5qrl6aDAhs3FXFhl1VCILAnMxQnrxtBu9tKSU5yoekaB+OlXVgt4tkJgbw4Noc7v/bXowWO0qFjBB/N5781Qxe/qyQyoY+PN1U3H5pBi+tP+6yH0G+Om68KNVFrTElOYAt+8aemQXYkd/A5YsS6e434alTIRPGzQnHXavkz+8e5rGbp9HccYb8kckEMuL98ddr6eoz8tKnhfz2qmx6B83sK2rFXatEAhflCcDJmh7iwr3xjprIefs/CVEmsOd4C5v31TA0bCU11pcbLpzEsx87qoovnhdLsJ8bO4400tA+yH1XZf+k1UWrcb0udPUbCfV3d7HhnMaW/DY8vL2Ymb6U7gETWpmCjrZhAmbfjXtHMVTudbCjCbPRxufQadbS3nPGctgzYGL99gpkP8CjN01j26E6F3WdKDkG59cuS2FvYQv+3lo+/K7MZRsKK7to7zVy9dJkvt5zhjjeuLuaQyWt3Lg8FbVSgdlip6qpk/XbKxBFh5rqviuzmTcljNc2nOCxtw6RmxLIqvnxiKLE0bJ2IoM8UchlrFqQQH3rAA+/doDECG+uXTaJ/iHzmCqqYZONTXtrSI3xRRAEjo6cn5mJAaPslmdj57Em7liVzsffl9HTb+L2S9N5+v0jDA5b8XJX0TdodvwO4xD34QEetHaNPyhv6TRw28WTqW0dAAEEhP94C4rNamdRbgQqhYzt+fWjLFMmi53H3znMi/fMRik4Jh8cgwnJITxx7p7DhquQC1w4K5bJcX4Mm6xoVArae4b5ancVcplAY9sgC3MiuHhuHNXN/Xi5qYgO9aKwogOzxUZytA8SsGxGFIdPtrJ6QQL7i5rpHTDzzf46Ll0Qz+7jro2Wzn2xS/QMmAjxc3Nakb/4sZJ7rsjkra9LEO0S/UMW7lodx9MfHBmVJVXR2MeOI/WYzHb6Ru6P+Sfb+PWaLLYdrOP9b0qx2SWmJAfyxK9m8N2BWupbBwnQ63hwbS6SJBHs58bjbx+mo9cR4r9hVzUBeh33XZmFRqNg0GDBaLaxbmsZD9+Qx5PvHSExUs+Fs2Kx2hwZSaJdZNrkYEID3F3KAM5GiL8bh0718HJpG7MyIshOmsL7m07RM9COTIArFiWwr6iVrQfrMBitrF6YQHVzP1/urCI1xo8Qfzf6h8wcKW2nf8hM7qQgjNHnoQlIQir+BnG4H2VYCrbEBfx5YzN5aQK/viKT4qoufjzqsD9OSQrg8x0V4x5bJ6q72VfUwrIZ0WzcXTUqQwwcytl5U8LpGTSh99CQEu3jMvFzNqZPDqG5YwiFQsaK2bGkxPiyu6CRI6XtdPUZKanpZkleFAtywpEk8HbXTNihJzABJgigXyzK6nsxmGykxfr+uzflZ4NgXzeigz3YtL+WnKSACRXQBP7HEEWJyCCPcStQM+L9USvHbxETRQlxnKr18WC1Sxw80cr+4laiQzzJSQlCIRcoqe7mix8refq2GewtbCE6xIsgX51Lg0lXnwlPNzWebipn+OnZuHBWNG99XcLiaY6Q4aKqLqZPDnFYlVak8vy6Apf9VMhl3HtFFt/sq2V6ejCXn5cAgkB7zzBNwxpip1yMcvISdhe28MOOblq6zjxIihJ8vLWMFXNi+eC7UyzOiyQi0INPvi/j0gWJPPLGfher2rcH6jhyqp0Hr81h4+5qPtp6ZgC781gTqbG+PLg2l+fXFfDAtTl8u7+WrKRAKhv6ADh/RjTrvy8fRWK1dQ/TM2hielowB0YGljJB+MmWLatd5PvD9RRWdPLQdbnkpZ5Z9mzEhXnT3DmEJMEn28pYvTABfqwiPd6flXNjOXqqneaOIYL93Xn0hhhkMhmSKPHrKzLp6DUiCODlpub7w2eUUh46JbXNAyRH6Mfdvgn8zyAKAn/7vMhFVXKsrINFUyOd58nJaofd4ZPvHcqSQyWtzMoM5YcxrC4AOrWczER/jpd3ArDjSAOXLUzkpU+Pj3qvSiEjLzWI3768h8duno7BZKWwooMZk0MpsqYQnJqETqvCzcubDXsamDpJICLQY9R6RAne3XySB6/NYcPOKgorO5EkmBzvx8o5cRjNVoJ83fhojDBWgNYuAza7OOr60NY9jNVm52BxKzuOulqjRAmeW1fAS/fOITXGl5Kabg6VtHGoxHG8ZicFYLOLvLah2LmMn7eG5XPi+MPrB/j1FZljbstp+HhpXAaVjnNz/AGfzS5S1dxHdLAn87LDaOs2cP70aOLDvensNeKhUxIW4E5dy4CTeD4by2fH8PJno3+j04gK8eTZj4/R3jPMM3fMIsBT9R8/AJUk8PPSMDsrjIdfG9uaazTbaOwYIjbIY1xCy2YTyUjw5zdrstl9vJmvdlU5/xce6MF9V2Y7LbX7ilrQaRQE+7kxbLJhNNu45/JMdhc08eqXxVhtIulxfvx+bS4apZyPtzmu5z8ebeTCmdE/+Rtv3lvD79fm8uR7+bR0GThV14NdlLjvymyaO4cI8tXR2m0YN0h859Emfn1FFruPO9R1F86K4ZkPjrhk0+0tbKagvIP7r56C1W5n874aNu+rYcWcWLYerHOSP6fR0TvMw28c5M+3TGfdtjIW5UZyxaJEWroMPLg2h+KqLvYWNqNVK5iTFQY4yP1LF8RTWNE5ahtlMoFpqcE8/o6jWKCn30Rty4Dz/iVK0N5jZN22M/fBsAB3vt5dzaM35FFU1UVdSz/+ei2/X5vDzmNNJIR7MyTKGFJEoJ9+C/6eKk42GPjrGyew2UVKavt48lczSIrSOyYeBIG+IQvuWiWDw9ZR2wjg6aakrdvA4LCFA8XjE7PHyzsclu2UQJKi9Bwv7xiV8RXi5wbAupFr7IDBQoi/G3ZRoqNnmGB/dy6cGcPXe6s5Xt7B7MxQ/j/2zjM8jvJs2+f2Iq16771LltXde8MN29jY2PQeQocQCBAIBFIgQAIJJGB67zYYV9yLZKvZ6r333rbvfD9WWnuR5C/v+yYhgM7jSABtmZndfWbmuZ/rvq6BIQMyxcQtY1NM8VNiqgD0EyWntAM3jQJfDweGhi5q8zbFBcxK8OWdfRXklLaTFe/zfe/OFD9AFBIRv9iWytNvnbGbCLg5KblpXSJiQfi36fFqWwaobbFfzR3b1p5T9aydG84rn5+ze/yd3aXcuzWVlz87a7vhlYhFXDIzBFeNkoLKTtQqKWvmhLP3VD2/uDKNfTn1fH28ll9dm0FBRSfNHUOE+TszM8kPi8XCJbNCKazoxMNFiVQsJsTXiXPVXby7u4wVM0N568DEk+TW7mHCA5y5+dJEDuU18fmhKv7w89nsy6m3K/6M0dmrpbimh/YJYnmLqruZlTTE/dtSeeGDfExmC4E+5yfJ4f7OfLC3fNzrAF757Bx/uH0OMxJ9yS5uQ2ew+gNd6EtyIQvTAnnjqxJWzQ7j5c/OcdnCSIxmC7ml7aTF+RAT7IqDSkaIrxNPbs8GoKZ5AG9XNaF+TizLCubJ7Tm2IlN+RSd7TtbxxzvmUt3Ux7Pv5dlUEVKJmG0rYnDRKNhzqp6ZSX6UN/QgkU4VrP8ViETQPaCbsKVoDKlExNblMRwtaOaxG2fw2cEqcorbeOjqDMrre2lsH8RRJSPA25ERnYmlmcG0dg2zenYYCCLyKzpo6x6huXOIbSti+Hh/pU055KpRcP+2NJQKCTdemsRnh6rYuCiSxenBPPl6DokR7gy6qOjqG+JsVQUPXJWGp4sKd2fVhIXcutYBuvq0LM4I4vq1CXT0jFBU082OI9WE+jsTFeg6Thl4IY3tg3i6qMa9r6NKbpswfxeLRaCktodlM4JZMzeMQ7lNiESQHudDsI8Tv3jxqN3zV88O482vSxjWGpFJxOMK1WMEeDlitgh2sdrnqrtYPiOEwsrxk2aAzHgfCso7cFTLCfV1ZkRn4lhBi61wB+dTlt78upjSOmsbrYNSyvVrEsgta2ft3Ahe+qRw3Hu7ahSIxSJauobxcFFiMpvRmX4YKWBiwaremUhtNUbvoB6xnwbzRdYk1HIJhZWdnCqyn+w3tg/yp/fyuHV9ku1vIzqTTWn1wJVpvPzZWbvvubCqi5KXT/C722ajVkhtqrXtO4tZPiPEpvr6Lonh7lQ29bJ2XjiuGiWDIwaCfDQU13QT4OmIg0pmU/dMhMFkQSaVEBPiipNaTmevdsJggmGtkaMFzaTEeBER4EJVUx+zpvnZKeQuRG8w09o9zMaFUTz5ejYgIszfGZPZjFwqYe50f3zcHXh3dxnXrYnHZBbIL+/kto3T2L6j2Ja05+Qg54Y1CXx9vNb2fS1IC7SZJQMkhLuPhhucRy6TsGFhJL9767Rdy/a+nAYevDqDYa2JP72fZ9uOSARLMoK4dlUc//jS6oF04lwLa+aEcaywhaaOIaZHe7IoPWhcO/n578KDo/ktuDspuWxhJCKRdUH6zGi73HlEzEryQy6V0Nmn5VfXZfLF4SoKKzqRySQsSQ8iPd6HP71nTTgL83dmSUYQj796ylYMzK/oZO+pOu7anMK+7HqyEnwRTS3cTjEFMFUA+kliMJo5U95BWrTnaPvXFP8sfh4OhPs58cWxWtJjvZBMOatO8T9EsAiE+znx4r3zOVXUSmv3CNMiPYkKdEEu5l++OiyTiMmI97GtsH8XZ0c581L82X2ynv4hPVuXxfDZoSq0ehMhvk5cvjgKZwcFD1yZhkUQ0BnMSMQiegZ0aEdvwE+ea2XV7DAunRuGTGotDqmVMowmC0szg2yRzaW1PSRGeNDRM0J6nDd7shvsVoVdNIr/b+x976CeP72fB1iTkvQGy4QromOcPNdi9T9q6B332O6Tdfzssmm0dg+jUkjxcXOwPWb+zoqyh4uSNXOsbT1jhZjCyk7EYhFJER4YTGaOFjSPmyxHBbkQ6KXBQWVVElQ09PLHd87w2A2ZXLMqnn3Z9ezPaUCpkDJvuj83XprIix8V4OmqQiQW8fONyfz29ZxxCiNHtYy27iGb8fMYJrOFN74q4aFrMnB2VFBW38vc6QEgTJ3r/xVIpRJyy8d7jQDojWacHeUkRnhwOL+Zw3mNJEZ4EBvqyhXLomnrGeHmdYko5RL6BvWU1ffi4aJkWqQnErGIvkE9N66zFmG0ehMKmYQhrZH7r0zDbLagUctxcpAjCBakYjHOjnKyi1pZOzect3aVcPeW6dS2DNDUMUSonxOLM4KQScXc/5ejPH/3PB69PosXPy6wtfSolVI2LIikpWuYzw9V8dcHFtLVp+Wzg1WEBzgjlYgxWywo5ZJJPb08XFT0D4+fPKuVsnG/WbHIOjHNSvBFKZciFlsLlteujqO9R0tVYx/t3a0kRXjY+bkEeGls+6xxkHPLuiSeeTeXoQvaHZ0c5Nx0aSJavQnxBdflpo4hXDSKcV4lcN4Dra5tgDMl7Zw414JWZxrnJdM3pOeJ7dk8detMhrRGhkaMWCzW1iKRWIxEIuKalXF8sK/c9jmFBzhz9SVxtsLQpXPDEYG14v4DGYoKqRhXjWLSAmCon9O486REIkZvFrAIAnKJ1SPruyqwMdp7RhCAGYm+HCtsQSYVM3uaHynRXrg6KfF1d7A+54JNGE0W9pyq487N0/nsYBXWW1gRCpmEyEAXOx8hsC6szEyympg/824uBqMZpVzCvVtTeW93GVePGlyH+k0caa9Ry7hlfRKIBKKD3EiL9WJg2GBLfzNbBPacrOdctbUgnF/RQUSgi61wa7EIXKzjT6c30dOv4/GbZvDlkWqKq7vROMhZMCuIhHAPOnpHuHPzdCRiEfWtAyRHeaJUSPjdbbMZ1howmQX6h/XsOFJjO/Z5KQGM6Ix0jqqOFDIJVyyN4Q9vn7HbtotGwXOjYQjfRS4V88T2bLsCoCDA3uwGrl8TbxtPfYN6yut7eOiaDF76pJCCik6WZ4VQXt9r53kmEsF1q+NRyCX86toMyht6OVbYjN5gJjnai1/fOINXPjtra9Obn+JPblk7Q1ojL31SiKNKxqL0IJt5dG1zP+3d5wMq1s4N5x9fFo1TgpnMAq9+WcS1q+PRGcw4q2VYTP/9PlxTTPHvZqoA9BOkoKoLncFMfKjb970rP0hmJ/ry5p5yTpxrY840v+97d6b4IWKxpgwtTg1ELLYmipnNwr/FjF0kWLhyRSxF1d22CVNcqBurZofhqJIxojNx6dxwekd9QdJivbnj8mSc1HJMZgsvflxo8xzwcFFy9co4aztE2yAxIa7cs2U6RrMAgkB0iBtPbs+xu2kM9XXilvVJ/Oa148hHJ7RZCT4U1/QQF+rG54fO72vfoB4PFxVSycRtG+EBznamyHKZBKPJjFI++aVMKZdOKu3XGcx09+tQyiWYzBZUSqnNu8hktqBRW6Xsgd4arl8dzxsXmKE6qGRsXBRJ/5CeA6cbrOleP5vFgdONHD9rnczMTfYnJsSN/iE916+Jt/PnkUolPPjSMTvlRE1zPwlh7ly/NgGTyUJD2yBqpWxCL6U5yf7sy55YKQVwrKCJ5CgvzBYBR6UUy3+578gPBUEQcFBO7OO182gN166y+tTsOlGHySzw0seF3LIhibrWAVsx5W+fFtt5+4jFIn6+cRo5xW14uzmwOCOQls5hThW1cTi/iRBfJ666JJZvTtaRX96Bg0rGylmhhPo5kRHnzbHCZkpqe/jNa9mE+jnh4aLixLkB3tldxtLMYBLCrKv/Te1DLEwLtCti7s9pILesw3ou0Jrw93RkXkoARwua2boshv05DSxMD2LXd4yXwVpAcnFU0NU3/veplEsI8tHYxqtYBHdcPp2S2h5+/9Zp2/hOjfFi/fwInn8/D3cXFWvmhJEe74Oni4q0OG9MJgFnRzm3bkjis4NVjOhMvLazmNs3JdMzoKO1axh/T0dcNAr+/sU5blibgJeripgQV8pG1Tp/+6SQu7ak0No1zP6cBkxmCxnxPsxI8KV3QMtfPipAbzDz0DXpPPte3oTf7bDWSGvXCPty6u0KRPdsSeFQXiPXrk4gI96HgWEDKoWEs1VdPPd+Hr2DejLjfYgOdqOjdwQfNzXmH4ARNIBSJuaqS+ImbEOMD3PHxUHOWHVDJBJhQsTu7AbbZ5we682q2aGTnn8B2rqHiQ52ZXlWMDOT/Pj2TCP/+LIImVTMnGR/Vs4O5bn38xnWGm1KF6PZwrHCFqKCXEmO8qS9ZxhvdzU3rE2grK6HA2caMZoszJ7mx/yUAIa0BgaGDWxdHs2rXxbjqlHg6ari2tXxvLWrlPu3pWIRBML8ne2S6xRyCfdekcqrO4po6hgixNeJjHhvPtxXYWsHdFTJ2Lw0miAfDV8fr8XJQY7OYOZvnxTywFXptPeOTOqHB+DurMLLVcSZknYSwjzIjPdFq7Mmhb62w6qyWZgWwLp5EXx6qMqmkFIppKybH06onzMatZzMBB+mR3vZWijf/KoEbzc1caHuLM0Moqqpb5zfjlZvmrCtMS7UncKqrknVX7tO1PGLK1PZcaSGlGgvjhY04+6sZkl6IJsWR+GglHLX5ul09+vIKWlDpZASE+KGg1JKU8cQ+3LKKa45r0Zq6arlWEEz921N5TevZZMW643JbMHXw9HmJzSkNfLlkWq+PHJ+P35xZRpqpVUJplJIJ1Vx9Q3pUSulVn9Cgxnl1LrtFFNMFYB+ihwtbMHfwwG3C6Iwp/jn8XZTEx3kwpfHasmK97HFgE8xxf8U0/9iJcq6wmrBZBGQiEQoZeKLRtALAjjIxDxzxxwO5TVhMlvw99Tw0ieFtoKEo0rG7ZuSmZ8SwP7TjYiwFjjufeGI3U1gV5+O597P55HrMvnqWA2zkv0Y1pn49GAlP9swjd+/dXrcTWNt6wC7T9WRHOXJwdwmtu8sJru4jU2LIjlX3c2yrGD2nKq3PX/PqXquXRVvk5iPoVJYWy6efTfX9rfWrmHkcqtUvqqpD7Cu2GYm+KJSSKlt7mdpVjD/+MK+rW2MjHhvAr0duWV9ElKpGJlExANXpfGHt8+wN7ueDQsjeeOrEq5eGcuz7+Xa+RoMa4288VUJd1yeTEvnMHWtAwR6O2GxWFiaGYzZbCG7uI13dpehkEl45PpMfN0dcHaUMz3Ki90n6yb0VSqq6WbVnFA0KjkFFR1kxPkyPyWA7OI2mxQfrG0pY8onB5WMrAQf1EoZ9W0DnKvqoq1HS2SAC0NaIwqZeMqz7F+EyWQhNcaL178qGfdYZWMfQ1ojGXE+HClopr3H2rb4+D9Okhbnw+rZoZw81zrO2NliEXjx40JeuHsen3xbyT3PH0EQBLIS/Pj9z2cjWOCXLx2ztYENaY1s31lMQpg7m5dG8+YFKrDvtnmW1fewdVkMKqWUBEclD78ysafL0sxg9AYTJouAv4cDj92QhcUiEBHoTHyoB4FejpwsauVcVReCYFXcPHh1Ovtz6se9V3yYGzKpmJ9tSOL42VYa2wdxGVWj7c22f35uWQcDwwbWzgvntR3F/LE+l9/dNgsHlYzfvXm+UOTr7sAt65MwGM00tg/y9Jun8XZT4+6s5GRRq03t4OIox2QSuHPTdLr6dZTV9+DlqkKtlNLUMci8lADEYhFnqzr58kg10yI8WT8/gvf3luPkoEB/kfTCjt6RcWqYb3MbuWRmCANDes5WdRER6IxUoiQhzAMPZyUKmZTKpj6eefcMD1yV/l/v/3MhZpOFpDA37tkynTd3ldLdr0MuFbMoPZANCyIRX7BiYRTgN9tP2SUhHjjTSFaC70XNz100Ch7/RzZP/Wwmv3jxmF2R/IvDVu+WW9Yn8sIHBdy9JYXXRosxY3y4v4Kb1yWyL7uB6GBXYkOsRSGLAIMjBmpbBvBxV+Pv6YBC7oSjSsYvrkrn8VdPMTc5gEeuy2Rvdj1hfk7ctzWVTw9WcjivGZPZwurZYew/3WDb3lWXxPLU6zm2JDywjsVXvyzil1elkZXgi85owtVRQWK4O939OpzVcq5dHcez744vLKbGeFHT3I9GLSMyyAW9wcJbu0rG/cYy4nx55O8n7QocWr2J9/aUc9O6REJ9nCit6WFIa+TzQ1X4uKv5xZVpdPRq6R3Q8dqOIq5YNj7SfWhk/PUHGC3qTmw0DdDVp6WpYwiNWk6InxM1Lf18erCS5TNCeO69PJ64ZYZVIaw3kh7rzetfFSMIArUt/cxI9LMr/owxMGzgcH4zj1xnTUF7Yns2D1yVTmaCLwPDBrKLWscplepaBvBxd6CmuR+1Qsrq2WHojWZyitvGFbuUcgkymYSefi1Bno7/q3uvKab4MTFVAPqJ0dmnpbiulxWZQd/3rvygmZ3oy/ZdpRzMb2ZpeuD3vTtT/ESwiETklnXw/r4KegZ0aNQyLp0XwbzpfogvMrGwjMZXr8gMonvIwL0vHLGTpQ9pjfzurdP8+Z75XL8mgT2n6sgubptwBdBiETiU28itG6ZRWtvDnlP1+Hk40Ng+aI3qlUmYmeSHn4cDfUN6jhY0c6ywhXu2pHAw15rUUlzTDYsj2Ztdz6rZody/LZVTRa0MaY1Mi/QkPMCZX9+QxbHCZrr7dYT7O5MU4YGjSoqDSoZKIUUuk9DcOURxTTeRga4kRXoQF+JGgLeGYwXNtHQOkRThQYiPhqhAF1zjlbbo9+NnW5BJxMxPCeTe54/YzCXVSil/vH0u166KRywW4apR8OsbMmnqGJrU1PLLw9X8fGMyz3+YR0SAK58dGu99oDea+fxQFanRnmxbEYtELOK17xS4LqS2pZ+5yYHojRZe/7oYN2cl91yRQl5ZB9+crAOgpWuYUD9nMuJ9iAx04Wh+M61dw0QHu7F+fgTl9T0YTGYcHeT0DRsuqpKa4n+GSibhhrUJvPqd79DHXU16rDdqmTUG/U+jahKLYE0OmjfdnwOnJ26HsVgETpe2U9s6YFNMHCtsJsRXQ2ldz4QT6KKabtRKKc6Oikn3dd50f1q6hnnz6xIunRfOmjlh47yqgnw0LEgNYM+pOhZnBpMU6YnFIuDmpkCpkLLzWA09AzqmRXpy/eoE9AYjCrmUoREjK2aGMmuaP7tO1CECZif7ER1s9Q366lgtPQM6YkLcWJASMKGSBKyFs02Lo5CIRUQHu1Jc08OnB8+3hvp7OqKQS3jpkwIeuS7T1pLW3jNCe4/VI8bTVcXP1idxrtpqKq1WSlmaEYSzgxwXjYJHXj4xobd+QWUna+eFA1bFh4ujYsJkIrB6DClk9gayvQM6/D0d2b6zGItFIDHcnYdfPoEgwLwUfzLifPj8UBVGkwWFTILR/MPwABpDJAhMC3Pn6VtnYjQLKORS5BIwXTAZl0jEnKvptivMjHG4oImlWcHsnMAfLcDLkaERI8lRHnx+qHpcgiFAfdsgI1oTK2eFcrSgecJtvPL5OR67Mcum9qxo6OatXSW287pMKubqS+JIinDn5nWJ1LcO0NWn4/PDVUyLshrs6/RmdhypRoSIe7emIEKEv6cDdz53GLCqT6ub++2KPxfyybdVzEzywd9Tw3t7ysm7oE30j7fP5q7N0/n0YJXN/2tpVjCxIW6IRdDQPsjR41YT7GtWxdM3qOPNr0uwCNYFx/4h/aTqlpqmPjp7tba2VIVMwvr5kdS2DHDgdCOCILA4IwilXMqWpdF23lZDWiPuzkq6++3VSS1dQ8xJ9udowcQeXiG+TrR0DrPjaA2uTgpmJPryxeFqFqQGEhHgTGfPCJ39OnadqGXLkmju3Dwdi0WgqX1oXHvlhZwqauWSGcE4qmXcfUUqp0vaqW7qw91Zxb1bUzlT2m63WOTuokQhk/Do9ZlUN/dR02ItBF23Op7uAR1v7SpBEKyLRx4uKvqG9NbxJxVPFYCm+MnzQ7oOTfEv4FB+MwqZhJipRJj/E+5OShJC3fnqRB1zkqxqgymm+Hcilog5mNfM2xck8gyOGHn7m1Lae4bZvChy8mzxUSwCfH6oekJPAkGAjl4tr39VzMxEP+rbxq/SjdHQNsi6+RG2CZ1aaW2VSo3xYvWcML4908iRgmY8XVTcsj6Jiobecb4Xp4vbSY7y5L095TiqZDx6QyYHTjcS6K3hzx8W0Nk7QlqsNz5uasobejmU18Sj12Vyz5YUyht66R/SExPshkYtQyIWcf3qeA7lNfHMO+cVQiW1Pew6UceTt8zkw73lnKvuJthXw6+vz8LFUc7Tb52xSxYZGVUzXbYwku5+LXK5hIEhvV3b2XepbxtEIhbh5armTOnEPktgTTVZnB5EYWUnSzODkUgmVg5evjiK9Fhv7n3hsN2K57GCFq66JJaZSb6cONvK8cIWnrlzDodym/j9W+e9HUpqe9ibXc+Tt8zkWEETGbE+yOWSf5ux+E8RkSAwI86bxDB3DuY20TOoIyveh4gAF2QiGNJbMJkFMuJ9yLkgvlgsFk2qhADoHzKMu5YkRnjYEo8m4vjZFpZmBk9ogCsWQVqsD9t3FhEb4sbOozWsmRvGr67N4ExpO1q9ifRYb0BEZ7+WJZnBtHWPsDe7nogAFyyCwMcHKm3vV1Lbw46jNTx16ywq6nvYm9OA0WRhTrIfW5ZGU1TdSaCXhoNnmvhwf4Xd63afrOP+bWm88EH+hAWWnn4dDqM+H2OpYxnxPizPCqah3VoECA9wRhAEti6P4bUdxbbXyqRibt+YzPMf5Nu12pwuaWdReiAxIW4XPTWKRSJmJfpiNJpZPSfM7hw7hr+nI45qGeEBznbeJvFh7tS3DZJb1sGyrGDOVXdx37ZUfvfmGfZmN1DbMsA1q+I5lNdId78OXzc1/MBGo3m0aKVUSHB1VdPba2+ALACH8yYuFhwvbOG+ramYTCHsza63LSrEhrhy/ZoEnno9h01Loic13AfIK+9g/YIIHp4kkQysRfOseB9aukZ4dYd9YdZosvDqjiKeunUW4f7OnCpuIznKk94BHTnFbcya5sfrO4tZMzcMuVSCRRDwcVdjMltsii0fNwfq2wYm2jQA9W0DXLUyloNnmuyKPwAFlV1WNWpmEB4uKvQGM8cKm5kW6clfPsq3a6E8XdLOvOn+bFkaw7t7ygjx1dDWPd5wegw/T0f2XZAseNvGaew5WU/xBYbPZ6u6CA9w5ueXJTM92ouj+U30DRlQyiXctC6R37152u6eoLZlgNsum4ajSmbnszXG2nnhvPGVdfztPFqLh4sKQbD60l27Op7ufi0hvk7cfGkSZ6u66OjVEhfqxrYV0Xywr3Lc+40hEYvo6NNiEeCpN3Ls1HhHC5q5dlUcWQm+nCpqRS4VExvsSmSAC0++nmM/7kvbWZAayOWLo/hgXwVXr4xDJhVzKLeJhWmB/NDG3xRT/DuYmrX+hNAbzBwqaCEp3H2qbelfwKwEH0rre9h7upG1s0O/792Z4keOzmThowMVEz62L6eBS+eGo/z/GCibzBYaJ+j5B+vkVCS2mqb2DurwclXb+SFcSLCvk505Z0uXNa0o1M+JJ147bxzZ2D5IXnkHW5fHIPtOwUMuk3Dp3HA6e7WU1vXQ0jnMyXOtnDzXyh2XJ1NS28PxwhYcVFJWzQ4lLdqH2tZ+Xt1RbHcMKdFeXLMqjoEhPZ9PoL4ZGDbw9q5SvNzUHD9nbUc5cbaV+7emIvlOW9TWZTEICNz35yOM6EyIxSL+dOdcPFxVk36m3m5qKhp7MZkEVIqJvWEAZDIJJouF3afqiQxyYX5qADuO2K+Kb14SRWSgKy99UjihMee7u8t45PpMBoYNrJwZigiRnVJijGGtke07ipmZ5ItMLkEukyCdpOA0xf8OkSCgUUjYMC8MkUiE2WzGbBYQS8R8c6yWr4/Xsm1FLIvSAjlX3YVELMbH3YEgb82EvhsAkYEufHvG3tdJIZMgl07eQiNYwNtNNU7Zo5BJePKWmQwM6wnxdUIhl3L5kihOFbXxzDu5JEZ4oJRLcFTJefy1U/z1gQVkF7Xz5tcliEWwclYov3kte9z2hrVGXttRRMQFhrt1rQPsPlnPo9dn0juon/A8NaIz8fGBCpZmBfPR/vGPu2gUjOhMOChl9A7qmZHoS3KUJ0++nmPXNpUU4c7PLkvG39ORTw9W0dI5xCWzQjic1zShz8qB040sywxBIZdM2t4lILBsRggKmQR3ZyWbl0Sx42iNLWVqWqQn6xdEYDSaiQx0Bax+SHKpmJlJfjz2j5MALMsM5tODlbT3aJmXYlV7VTb2sX5BBFdfEodWb0QuEY0zTv6hIxKBXDbx+UUQ4IN95dyxKZm1c8MYGjGikEtQySVIJfDbW2dhtlgmfT1YlVkOKtlFvYSGtSYE4MCZyX3RjuQ3sW5+BG5OSnzcHZgW6Umwjwa5VIxYZL2OerqqWJgaxO/fOsP6BRF4uqro7NXSO6gjNmRy30xvNzUOShlHC5rGPbb3VD3Xro63M2GeN92fw3lNE/pnHc5v5ne3zebp8Fl4uKgoqp48cVAsFtlUaX4eDggCdsWfMaqb+imr70GEgIuTku4BHW9+XUpkkAsPXZPB3lP1VDX14emqZtWsUJQyMQ9fn8k/vjhn8x1y0SjYsiSac1Vdtv3uGdAhk0hQKaQIgtXHLirYlb9+UmiXlCgWi7j50kTWzAnjUN74zwhg9jQ/BAFe/LhgwrH69jelPHRNBnll7dy5eTrZJW20dAxPOO4P5jby6xuyePCadM5VdfHl4WpuuDSBk+daCVwQPunnOcUUPxWm7gh/Qhw714rOYCIl0uP73pUfBU4OcqZHerI7u2FCL48ppvhXMqw1Tj6BERgn454ImURM0AVR5xeikktsEvzjZ1tGV8om5pJZIaiU59cPRnQm1AoZb+0qnbBt7MN95ci/0zoxK8mXJ1/PYVqUJ7+6NoMQXyfWzg1nYNjAk9tzqG3p5+7N07lnSyrh/q5UNPYikYi5fdM0Hr0uE3dnq4dZXnkHJrOFs1WT3yTnlrWTGH7+vGexCGzfWczqOWG2v0UHuaKQS3hvT7lt4mexCDz5ejYzE/0mLZpfMjOEfTkNDOus5taTMTfZn6KqLqQSESG+TixMDcTbTW173NlRToCXxppw0jLxSrPZIqDVm7j6klg8XJQU1Ux+zOequwjxdUIQBEQiYVwi0xT/GoxGMwaDyTap15ss5Fd0YrYIvPl1Cc9/kE9d6wCVjb08934em5dGT/g+Yf7OaPWmca2Gw1ojs5P9J91+Wpw3LV1DZCb48Nxdc7lpXSLXr4nnL/ct4I2vSnjklZN8eaSGj/ZX8Ng/TuGmUXDJrBCqGvs4MWpW/sur0rCY4b1RpVGAt2bS4i9YFQXR31ERd/Zpya/ooL1neNLUo5LaHsL9ncf93dfdgcERAyazhWGdETcnBStmhvDKZ2fHeeacrepm76l6DuU2ERPsysbFUSSEeXBkknYVgONnm3n61ln8bEMSnt8p5ob5O+HmpOTNr0t49B8ncXFU0Ng+yO0bk/nlVek8fF0GEQHOlNX1cDi/2ZZSGO7vzP1Xptk+szs2JaNWSnDVKDlW2ExG3PlzQVvXML7uDjg5KBB+hGbsFrPAypmTL4LNSfZHKZciF4GbgwwHmRixIGAxCSjEoFFKWZ4VMunrl2eFoJCJiQx0mfQ5caFumM0CHT3jvWvEYhEhfk7MSfbnFy8e5fkP8tl9so43vy7h92+fYVhr5I7NKYT5OpMY5sGHe8tp7R5m96k6rlweC0BpXQ+J4R6TplReMjOUodFUru/S2afldEk7v7w63XbOT43x5vjZlkmP52hBM8NaA698dpaoIFeUcsmEz3N3UnLd6jgeuCqN+7alsj9n8gLYvpwGwgNd2XmkhhNnW9HqTUQFuiIRi1iaFcyvrs3gutVxqBQSjp9rZceRapZmBvOH2+fwy6vSuW5VPAfzGu3asNyclAzrDFy7Ko7PDlZxtKCZI3nNdsUfsF5LX/78LCKxiDnJ48NTvN3UZMT5IJeJqZ9EcWsyW1NI/3TXXJwc5EQGunLsIp9hQUUHR/Ob+epYLa3dw5TV9eCqUfygfLimmOLfxVQB6CeCyWzhm+x6YoJcL+oXMMX/jKw4bwQEdp0ab4Q5xRT/Sr5bQPkuFxZkJkOwWFg3L3w0OtcencFEgKe1ODSiM3GmtJ3r18TbeV7IpWJu3zgNd0cF3q5qHC7Y5uCIwebH8V1MZoHOPi2OKqtC5rKFkTR3DbMgNYDPvq3kWEEzBRWdZMb7MD8lAJHIOmmQycS8/U0pd/7pEE++nsPDL5/gzx8W4OGq4rEbMm3bNxjMkyaWgLX17bvHfOH+ACzJDOKLw+MVRF19Ol757CyP3ZCFRn3++WIRLJ8RglwmIdjHmtKk1Zv4/c9n88BVady6IYkQX2u0sK+7A2vnhhMZ5MoTt8xEKpHw+KunuH5NAleuiCUh3J2Ni6I4nD/xyuiF9A3qbRHYk0Vzj6FRy1EqpIjF4kknLlP8a5GIRDg5yG3/rdWbKKrupqS2h4a2QTp6RvjNjTMI8raONblUzIoZIdy1eTqvf1U87v2+PlHH6tmhpER7jWsPWz0nDIVUzOCwkRc+yOf42RaaOgZx1Sg4mNs4TgkQHexKkI8TieEebF4SxTN3zKV/WM/Ln52jurnfprAQi0QXHU+TkVPSflGVBjDOi8rf05FbNiTZvEkO5TZy37ZUKht6J23b2ptdT0qMFwWVnXT2ahGJuOikTmcw8/buUj47VMVtG6bh6+4AQLCPhl9sTePbM41UN/fTP2Tg9a+KWZIZTEVjHzuP1XAot4mIQBd0BhMDQwYCvTU8dessbt+UzMCwgXkpATx0TQa1Lf00tA/hrFFgGo1BH8NRLaejdwST2XLRSPAfKoIg4OuuZn5KwLjHooJcyIjzQTVBAUMsFiGRWEMM5iT7TVgcXJQeiFopxWKBTYuiJjSzjw52HU1L1BNyQZy7VCJiy9JoHr42g5suTWT7zmJbbPgYeoOZZ9/Lo6a5jy+OVOOgknF2VHFT3dRPS9cQv7gyDV93B744Us3dW1JwuOC6IRZb/b6MJjMGg4XVs0PZuCiSrAQfu309mNuIm5OCx27M4sGr0wn2dbrob9ZkthAV6Ia/lyMSsZhHb8jC2fH8eUUkgg0LIgnw1rDrRB1/fPsMh/OaMF8kStRstiCXStA4yHFykHPv1lQO5zXxm9ey+e3rOdz356O8v6ecYF8nckraOXG2lb99epbeAR0vfVLAn97PsyXrjXHZwkhiQtwI8nEiPtSNdfMj2HlsvN8TWBeqjhU0s3lpNA9enU5arDcJ4e7cuj6JX16Vxju7S3F3mlxta30Pgb05DXzybRUqhfSin6HeYGZYd76gfvJcK9MiPSe8/5liip8aUy1gPxGyS9rpGdCz5iKrNFP8z1EppKRHe/FtXhPLMoJw1UwV16b496CSSwj3dx6XIATWVTgn9eTtR2MIAjirZTxwZRp/+dg+BeyOTcloVFLiQ90pru1mb3Y9abHe3LctFZ3BhFIuJdDbEYVYhGARUErF/OKqdN76uoSNi6LQXDDpnQiFTML8lADmTvenZ0DH378o4oa1cbxw73y+OlbL0YJmLBYLGxZGsGpWKHqjmT2n6skutvfVaeoY4rev53DzuiQeuiaDh185wb6cehamBfHZBO1QAEkRHlYfou8guuBO0FElnzSqt6imG4VMws3rk2xtY4HeGgwGM209I2hUMpwdFHx5pJqjBc2YLQLebmquWBaDu7MSrc7ECx/lMy85AMEikFPSRu+gnqfeyCE8wJnYEDciApw5nNdE96ip1XxtswABAABJREFUbHPneLNTsQh83B1YlB7E7hP1LJsRPOnnPabQkIhFDI4YcVb9/38fU/zfkYisPk4N7YN4ulgnM939OnYeq6G1a5jwAGeCPBx45NoMTBYLIpGI3kHr7y4r0ZdvTzfi5arCw0WFUi5h+Yxguvq1pMR4WSeaZgv55e0kRXgilYg4lN9MXKgbHb1a4sM8ePHjApZmBI9LKUuK8GBZVjAvfJiPVm9CIZPwwFVpPPNuLnKZxG5S1Ng+yFWXxE56jNFBrhP6oXT2aom8iL9geIAzIhE8en0mfUN6Ar00yGUSsotbiQhwYUGqhpRoT1Ry6aTFZLCa10YHuzIwHMDxwhacHGRkJvhw4mzrhM9PjvTkxY8LGNaZ+PNHBTx8XQY9Azr6hwwM6Ux2iob6tkEef/UUiREehPk7Ex/qxtGCZs6UdfDQ1ek0dw7x+7fOIBKBu7MSk1mwGfSmx/vQ3afFyUGOwWidiEslItydlQzrTPi4q3+UCiAAsSCwbVk0SzKD2Jddj8FoITXWG4lYxJGCJi7JCmXMe0UsEaM3CwwOGTBbBJwdFIiAjYuiGBwxkFfegVwmYWaiL97uanr7dUhcVXT1a3nw6nS+OFxNSW03jioZC9OCiA9zRyK2mgKvmRPGwTNW8+N7rkjl2zONvL+3nF9dmzHhtROsbcJSibVI/l2l5Af7Krjx0gRu3ZCExkFO34Cex27IQm800zeoQ6OW46CSkV3choBAa9cwvYN6IoNc+fUNWby7u4yKhl5CfJ3Q6kxkF7Xx6cEqlmYGkRHnM6kKKDXGi46+ERalBjI4YsDHXc29W1MZ0ZrQ6k24aBRo1DJ+/feTNgV6YWUX81MDKKntmfA9ZyT6YTKbWZweiEQs5s2vS8Yp/Qqruti+o5g5yf621q93d5dxzxWp/P3zc7SO+hFJJSJWzAjFx01NU/sQh/Ka6OgZITHSg8FJ0sUA+oYMDAwZ+OxQFZuXRJNb1o6nqxJEcP3aBLr6tfi6O9i2cyFikdVvcKx12tfDgfQ4b04VTey9N2103J9/vWi0aDTp7k0xxU+GqQLQTwCLReCrE3VE+DvjdREviyn+d6TFeJFb0cnXJ+vYNom8f4op/q9IRXDPlhQe+ftJu0KFg1LKw9dmIBeL/jlps0UgJtCZP905h8FhI4hAo5KhkFoLO3dtTubVHcXklLRxprSdgooOVswIYe2cMMSCgDC6DbPJQoi3dfX+sX+cYtvyGHw9HGjtGn/jJpWICfVzwstVhdFkIcTXicdvyqKouptvTtQRFeRKYrg7cpmE8rpeQvycQQTfnpk4Mam9ZwS9wURt6xDTIj1p6x7By03N3On+HMm3bwVRyCWsmx/Bc+/bx/B6u6lxcbSuhA4MGzCazagUUruo9THEItAaTDzzTi5SiQipRIxKIWVpZjAhvk7MTQng+Q/y7KTr7T0jPPd+HvdekUJ+eQcbF0bxzjeleLgomTXNn19dm4HZLCCTiimp7eZYYQvTIj35+lgt21bE8Mw7ueNUGJfOj+BUUQsZcb68t6ccPy9HFqUHceC0vexfLhVz3Zp4DCYzIiRIRSIkUgkwcZLZFP9alHIJe07V27yqArwcuWZlHD0DVhNgs9mCBGzFRH83NVKphK3LotkwP4KKxl4GBvXEhLrzxGvZdkasQd4a7tuaSt+QntK6HlJjvPjbp2cB6299aWYQJrNlnHnruvkR/Pb1HNsENyPehyP5zQiCdaVcpZAil4oxmCyYLQJFNd0sSg8cl1oml4rZtDiKlz4pHHfcWQm+1DT3s3pOKDuP1to9JpOK2bwkmr98XEBXnxalXMpdm6djNluIDHQlJtgNncFEa/cwxwpbmJXkx97sidtZIgNdKKjsZPtOq2KqoX2QB69Op7Cic1xKU2qMF519WtvfewZ0NHUM8dqX55ifGoSni2rcmBcEOFvZxdnKLgxGMxsWRrFyVhjv7illWWaI7Tnf9W+RSyXUtg6wdm44B043IJWI+PnGZHYerSElxguRCEI8HX60LShSsYiWziFMo+e1D/aW0zkaJ17fOsit6xKRiEV0Duh55fNzVDX1AXDLukQOnLH6JXm7qYkJccNksvDnjwrwdXfgvm2p/Opvx7lz83Q+P1xFXKgbq2aFojOYOV3ShoujLyKxiOaOIfw8HXn2zjl8c7KO4ppumzn6/68FVqs3IZNKEARrGuTIBb+jf3xRxIqZIaycGULPoI6y+h4KKzpJi/NGIhbjoJIhFol46o3TttdUN/dzMLeRX2xL43B+E4vTgzh5roWeAWux8HB+Mw9fm0FhZee4sTo92pOOXi1HC1rYuMhqfu3lpuLmdUk88+4ZZFIJ0cGuhPo52dkP1LUO4O2qJshHMy64wMddTVyoG9VNA3i6qNA4KCZt88wuaePyC+5lG9oHefmzs9y/LRWxWERnrxaJxPp5N3YO8vrO88Xmc9XdRAW5Ul4/fsEFICXak7PVXTR1DNHdr+WrY7WM6EwsyQhiSGvkrV2l3LohicdfPTXh9e9Y4fmC2eG8Jn55tdXj57vjPiPex27cA8yZ7o9SLsZ0ESP+Kab4qTBVAPoJkFPWTnuvdiqu/N+EQiYhPcaLw4UtXJIVjJuT8vvepSl+hFgsAg5yMb/72Szq2waoaRkgwMuRcH9nlFIRlv+BsajFLCDD6sdw4d8AJAjctDaeqy+JRTc6MVTKxAgT3EDrjWaeeC2bYa2Rr47Vcs3KOJ55N3dcG8jVK+N4+5tSThW1MT3ak0VpQTz3fp7dDV6Qt4br1ybw9y/OsWFhJDHBrhP6KYzR3a/jSF4z6+ZH4KCS0T+kY970ADLifNhxtIbBYQNJkR4szwrmr5+etbtRlkpEXL0yjqKaLh65LpOeAR2uGgWXzAyZ0FRZIZfiolEik4iIDXPH00VNd7+Wjw9U4KiWc+PahEl9Cz7YV8Evrkzlvj8fxWy2cPmSKM5WdbE/p8F2/NOjPNmyNBpHtZxdJ2rZl93AI9dnsj+ngeqmftydlaxfEEF1Ux/HCjrxH23V++JwFdeuiue2y6Zx4EwD/YMGooNd2bAggje/Lua6NYn0DerwdFVPuG9T/OsZNlr41csn7MZAU8cQf3wnl+fvnod4AgWI2SLQ0TPCiM7EM+/mMjBs4L6tqTz1Rs64yWFD+yDv7C5l85IopBIxL3yQT/+wgWtWxSEWidAbzJjMAglh7rbI5XB/Zyobe+0mwW5OSsobzisFdp+s46qVcbZo+88Pjf9tJYS7s3J2KAdyGsap5XzdHZgW6cGpojaSozwI8XVmf04DfYN64kLdmJsSwMf7K+gcTQSakeiLRRB4dUex7b08XJTctiEZsUiEUi6dUAkgEsGVK2L580fnI+W1ehOv7SjigavSySlpI7esAweljPmpAagUUv72qX2xqr1nhDB/F6ZFelBS101cqNukqonYEDeGtQZ2n6wj2MeJnJKJ1QYqhRRnRzmzp/nh5+GIWCzi0nnh7DxWQ35FJ3Fh7hh+5BNPvcnCG1+XThjnnlvWwYjOhFQm4bF/nLSbmHu6qm2G4u09I3bqr6qmPnr6dXT363j23Vwev3EGzZ1DVDT24qZRcu3qOBrahjCYzNS1DPDql+dIj/Ph0nkR3PP8kfM7MEFhZwyRCNw0SrR6EwdON7B2brhdXPqWpdG4Oyt59r082rpHCPLWsHpOGKV11lS8R67PtBmfa9TWJLvoIFfMFoHS2m7WzAnj0b+fJCLAhbDRNje9wcyXR6p5+rbZ7DpeS0FlJ2qllPkpATiq5Lz0SSGCILBhQQR6o5nG9iGqmvrIiLcq3cL9nSf0vXvpk0Ju35RMfdsAxwpbsFgEshJ8iQt1o7S2hxlJvhhNZgaGJ18MEATQ6kz4eTrQ0jmMq0bB1mUxOKhktHYN8/Sb1kLXo9dn2v59jL2n6rl5XSK/e+v0uHZHbzc1SoWUmGA3eqbpqBpVGKkUUlw0ckrqurlmZRweLkqevXMunx6spLKxDw8XFevmRVDR0Gu32KHVm9g+Ou5Pl7ZxptQ67pdkBBEe4EL/sI5fXpWORCLCaDTj6+HAsN6Masr8ZIoppgpAP3YsglX9E+qrsfW9T/GvJyXKk9NlHezObuCKJVHf9+5M8SPFYhGQApF+TkQHOGOxCNb//YtTZaRiEUjFOCgkmE2WCYs/IhG092hthZXmziG+OlbLw9dlcrywhdqWfrzd1CxKDyS7uN0m0149O4yn3sgZt7rX0D7I/pwG5kwPoKyuh+RITxSyydOPPF1VtHYNE+zjxKcHK1k1O5Qntmfj6+HA7Gl+qBRSalsG2H2qnk2Lozia30Rr9wjBvlYz0M8PVbE8K4RH/34Srd6EWAT3bE0lM97Hru3MyUHO3VumU17fzW9/Npvjhc00dw4T5K3h0rnhnClrnzTVaexzGRoxYjRZWJAaSGFlF3uz7T3D8iusq8C3rE/k/m1pfHawiqffPM3saf5sXBxJmJ8ztS39vLunHCcHuc2DQhBg+85ivN3UzEn2x0Elo751AIPJwpmyTi5bZKCjV4ubs9Ku3W2Kfw8SqZhdR6on9MExmS18dayGzYsisXxnPGlNAlWNfXx1vJaB4fNR8N/1KxnjdGk76+ZH2OLKb7o0kdK6bt4YbftKCPdg9ZwwCiu7MJktODnK6eqzN8ft6LVOZMc8PXLLOnBzUvKrazM4nNdEe88IzR2DLEgL5I5N0zlT2k5MsCs1jf3MSwkgxM+ZQ7lNGExm5k0PwNNVxZ8/LOCmdYn86b1c3JyUzEn2JyvBF5EIHvrrcQK9Nfz6hiwqGnoI9XPm0VdO2Pn8dPXpePL1bB65PpMXPy7g5xuT2ZtdT3ZRG2aLQKC3hqtXxlLXOjBOfTPWurV+QQSPXpfJ8bMtdiqsCwn3dybc35k/f1jAwrQArl4Zx4N/PT5OmWM1UYeCik5UChmr54RN2mZ62cIIzGYLQyNGPjpQwYjOZLftMD9nvN1UPzj1j1gsQhBZ1aWS/0+SoNZgnrD4M4YFgeNnW8apNQymixfGxq4x/UMGzlZ1UVzThVZnZsGlgew8Wsv+0w2M6EzEhrhx07ok9mbX09Ovs1N27T/dwIYFkbYxcyEL0wLRGUw8eHU6gmBNNLvp0gQ+PlBJYoQHRpOFFz8+X0Qsb+il/N1cbtswjUVpAZTU9iII1mLhpsVR7DhSzZdHqpFLJcyZ7o9KIUUmFVNU3cX6BRF8dawWk9lCa+cwVQ299A7qWJIRhMFoZl9Og516x3DBueStXaXcsDaBedMD6OjVolGPb7se0hp5+s3TrJgRzFWXxFLfOkhBRSffnKjl1zdk0dg+iFopu2jLtlgsQiSCh6/JoKFjCK3OxNcnalGcFjMj0WrgrFJIMZkt4851PQM6jhY088CVaby3p5yG9kHEYhGZ8T4sywrm+Q/yEYtEPH5TFr/4yzEAZiT6Mjhs5ExJB2/vKkOttKprL1sUhdlkYURvQmcw8eEE6YFj4/7pn83CzUmFIAgkR3lyrKCZ9/dV2Ire7s5K7t+WikkQcHFVoZugEDjFFD8lpgpAP3LyKzpp6RrhisWR3/eu/KhRyCSkRnlyuKCFlTNDcP7/+KFMMcX/hbHCz78csYgBrYmdBypp6hgi3N+FS2YG4yCX2Fq/xrB6l+jt/nauuovSum7S43xIjPBgcXogH+2v4GiBVbbt6+5A82iLwEScPNfCfVvT+P3bp9m2PIblM4L58sh4Q8lgHw19Q3rcnJXUtVq9SCRi6+SktWuYjw9U4qJR4OmiondQR2efltsuS+J0cTsxoW58tK+Cs5WdrJgRYpskWAR47r08NiyIZFlWMF19WnzcHfBwUfHB3lJmJgXw0F+P26kodp2o44mbZ1y0AKSQS9COmjXPSPS1iwK+kMrGPowmC3/+MJ9F6UGsXxABQEVDD2/tKuWuy6ejkEsYGDZYzZ3lEpsJdHvPCJ98WwlASowXJrMZV42Clq4hxCIRggBm09QN778bo9lCWf3EShKwJgkZR9u/xpBKxew7VkdcqBtNHVbfJ5VCetFkSUGwPmdOsj9l9T0o5BLbGAP44nA1a+aG8dA16Xx+qJq2rhG7VCqA0yVtPHxdJgdON9qKsftyGjhW2MKMRF9uWZfEzuM1NHUMMS1SRUK4VcHi5qJkaMRIqJ+GxPBpVDX24aCW8ey7eQwMGxCN7l9Hr5ZPD1bR2DHEsswgrroklrhQd04WWdNId5+qm9Dk2WwROFbQQkyIG0+/eZp50wO4f1saAN2j/iDv7i6b8HMxWwRKantsbV2CIBAR4EJz55BtnPu4qzGaLfz983OsnhOGSilFZzDx0NXpfHqwitK6HpRyCfNSAsiM9+HZd3PZtiKWJRlBIIK188Lx93Jkx5Eaa0ufuwMbFkbQ0avFbIGPD1SMO65ZSX5oDSZrktMPqABkFomoaR3k6+O16I1m5iT7kxnvg2ySYrJcKkYkYlKja7VSNmFrkEImQSya+KMRiazn0DHe/qaUx2+cgYDAix8XUNHQZ3ustK6Hp988zS+vSqd3UIebk9KmLsst6yDc34VbNyTxxeFqWrusypZL50WQFuvFy5+e5VxNNyKR1Ttm46JIHrtxBiIR3PP84QmPRyyGj76tIm3UoP3yJVE89XqOrWijN5rZn9NAcU03N12ayB/fyeXzQ9XcvWU6r3x+jo4+Ld4eDpwqapvQx0alkKK7oIhlsQj8/fNz1kKGycKyrGDyyjsm3LeYEDde+7KI9p4RUmO9uf/KNP7+xTmuWx1PQ/sgXq4qFqQG0NA+SFP7kN1Cy+xpfvQN6nl3TxlF1eeN5FUKKStmhI4eu8h2zf0uxwpbmJnky8rZoVZ/JxHkl3fw9JunbUmmje1DXLkiFie1HGe1nDufO2T7/kd0Jr44XE1xTTdLMoL46EAFd2yajniSNncXjQIQERPsikopZURn5O3vnCO6+3U89o9T/O7nsxFPst9TTPFTYqoA9CNGEAR2nqgjyNuRAE/H73t3fvSkRltVQPtON3LZ/PDve3emmOJ/hEgsoqyxnz+8c8Z2A19e38ueU3X8+oYsvFxVyCQiqw+QYL0ZDfQaHylvMgucPNeKg0pGTLAbcpmUX9+QxZtflyDAuJjr7752jK9P1HL5kmiMJgt7TtXbJqnxYe5sWhzFs+/mcuOlCbg4KtiyNBqFTMJD16TT3a/Dw0XFwLCBls4hvN3UxIW60zuoI8TPmca2QTYujmLu9ABblPwYZovARwcqkIph9ZxwEsM9EID1C6P4zavZ43wkTGYLv3/7DI/dkDVqIDr+5nRJehD1o0Uqi+Xicey9A3oWpgUSF+pGeUMvgkUgOtgVncHCobxGHrsxi+ffz+fzQ1X8fFMyz7+fb/d+Xq4qrlweg8kisHFRJN+ebuSKZTFIJeKp5JP/AFKxGE9X1aRms56uaqSjJupjmASobOwlKsjF9rf+IT1ebpP79TkopchkYq5YFs2IzsSIzshlCyP55kQtwzoTZ6u6UCqkrJ0bytUrY5FJxchlElw1CsRiEatmhxHg5YhMIubh66xqm+5+60RZLhMTH+bOiaIW5kzzx2IRaGwfpLlriLQYb157P4+qxj4eu3EGj7xyimGtkTB/Z267bBp/ej+PgspOMuJ9OHnOasisN5jwdnPgdEk7u0/V4+KoYOvyGP722dlJj6+udYC50/05VtDC3ux69mbXWyfiW1JQKSQsSgvk1R3jE9MAZiX50tGrZWFaIO7OKnoGdGxYEEHvoJ7jZ1u47bJpiMWwbXkMu0/VU17fS2a8D8G+GqZFerB2bjgms4UTZ1v47es5ACSGe3DrH75Fo5Zzz5YUBIvAHZdbW9WaOqzKR6VCwoxEXx68JoMdR2qoaOzFxVHBylmhTI/2pLyulxGdCcdJ4rz/27CIRGzfWczJCwoTJbU9fHG4midvnsFER6GUSUiL8eb0qO/OhTg5yFEqJHhP4EOZX9HJzGl+HCsYb4g8J9nfZrLt5CAnzN+Zzw9Xsmp2mF3xx7bfFoFPvq1kWWYQW5ZG23lVfXSggmAfDRsXRhIV5EpFQy9BPhrufeGIrZg+pviqbOzj1zdk0dEzMuF5XSoR46iWE+DpiJ+nI/NSAth9ss5OsTNGa9cw/cMG/DwcRj1/DNywNgGlXIpGLSMy0MXWAnch6+ZH8NXx2nF/P5LfzKbFUZTWdrMwLXCcV968FH8c1XKuuiQORFBU3c0f3j7DiM7EsNaEn4cj3f06IgNd8XZTs3lJNA1tg3ywt4ysRD9mJPjioJKNa4vU6k0MaY3Eh7mRGO6Bj7saqUQ84TVNLpPwt09zx/19jOqmPjp6R5BLJbg6KUiK9KSgotPuOZWNfaydG47eYOZgbhOXzgsfp8Abawl95fOzVDf3Mz3Kk8uXRE1YLNIZzBTXdOObOj6tboopfmpMFYB+xBTV9tDQPsTloyvJU/x7UcqlJEd68G1eE5dkBaFWTqXuTPHDwWAW+PNHBeNWb80WgRc+zOeKZTEcyW/i1vVJ1iQwQcBRJSUp3MMWm3shl84N55uTteSXd9ok4S99UkjoBTG938XXw4EhrYFHrsukqLqbo/nNXDIzhJWzwmjrGQYBKpv6+NunhVy+OIq6lgEa2gdZMTOEb07U0d4zzM3rkvjTe3l4uKjwdlNTXt9rXTW+aQYltZ109WnxdFEhl4kZ0hptJtBjuGoU/PKqNAa1Rv747hmuX5OATm+eNCGsb1CPIAjcvy3Nzv8oK8GXS2aGoJRLUSulTI/2RCwWTbrSPXb8ZQ29/Oa1bLu/L84IYu3ccLbvLGbjokjC/J2RiMX86a655Jd30NGrJdTPCaVCyhPbc9i4KBIPFxWzpvnh6qTAYDQjdpAzZQL970WwWLh0XvikqTTr54ePBSHZkIqsJtHWFCLrZMpsEahvHSQp0oOzlePH1mULI6lq6OOvn521rahPi/Tk/ivT+NN7ViVOR88IZjPsPlNPblk7AV4aHrsxi8ERI9t3FtsMYOPD3HjomgzbdjVqOUqZhKggF3JL23F2VPLO7lLu25bKe3vKqGzoY3qUJ/nlHbZtK+USZFIxj984A7PFgoujgmGtgaaOYS5bGMk9zx+2TYybOoY4nNeEj7t6nFHtGN5uaqKCXPj1DVkUVXchk0mIDnKlsqEXJwc506O9CPCqtymmxggPcCbQW4OTg4Lbnz1kNwGMC3XnhjXxdPaO4OWqIres3aZGOV3SxsK0QHYcreGDfefbTKQSMfdfmUphZScbFkTyybeVPP9BPjevT+Sxf5wCrF5Km5dGExXowpDWiFIu4fq18UjF1u9So5aTW9rGXz87x52XJzM93P2/vg1MJBLR1jNiV/wZo71nhN2n6lkzKwTBImC0wLDehNFkwclBxg1rE2jtHrb7btRKKY9cl4nFYGZpVjC7TtbZXWd2Ha/lnitScFTK2H+6EZPZglQiZlF6IIvTgxAEgTs3T0ciFlFS041aJUMhk7I8K5jdp+rH7WNFQy/r54fj6apm2/IYPj9cbWtNc9EoiQlxo6i6y2bWPlb8uZBhrZETZ1vI/I5ybgxHlYyeAR2xIW4cyW9i1jS/cX44F1JU1UVEoAstXcNUN/Xzp/fyWDMnDKXci7u3pPDWrhJyituwjKr7Lp0Xjp+HA+/tOa9kSQh3Z8OCSGqa+9EbjEyL9CTIx4lFaYEUVnYiAHGhbjg5KLj/z0fGXWciA1xQKSWU1/fxzu5Su+8gK8GHF+9fyI6jNRjNZvbltE74O61vG2Drslje21tGR+8IV10SazNjH0MiFlmNptWySRd83F1UHCtsob1nhMP5Tdy7NZWOnhFavhMiUVbfQ7CPEyfOtrBufjgPXp3O54er6OzVEuLrxIqZIRzKa7IV3fMrOvH3ciRjknSwupYBLNMn/ZqmmOInw1QB6EfMVyfq8HNXE+Q9pf75T5EW7UVeRSff5jWzambI9707U0yBSGS9oZ9s0iGVijFbBHq/45lwId39OhxVMgoru3hiew6PXZ+JBKsC5pb1iXx6qJoj+U0YTRacHeWsnRuOIEB+uXVFT6s38cWRamYn+9E7oCcmxJWWzmEWZwQRFeiKgMDZyi5iQ9xw0Sj4+EAFly2K4lBuI2fKOgjydqSty5r0NS3Cg6hAFz4/VE13v5YrV8Ty5PYcLBaBq1fGse9UPT/fmExZXQ+N7YPMTPLjpnWJdPVpCfVzJtjHiT3Z9SzJCOb1r4q5YU0Cz3+Yb/t87rg8GblcimnIwG2XJfP3L86xfv7Fi+idfVo6e0f44+1zKKntwdddTW3rAL99PYdrVsXR1DHEnlN1LM0KISvRd8K46uggF3oGdHx5uHrcY/tzGkiK8KC1e5gXPy5kepQn16yK445nDxPsY53wnipqtak4PtxXwVM/mwUC9A5YTaAtP9L46f8mBAE8nZTcsCae7V+V2H5TYrGIqy+JxcfNasYtEYmxmC0IgoDJZGHFjBA+P1TNylkhtpbHD/eVc9+2NLxc1RzOaxqdYMtZNz+CUF8nHnv1lN22Cys76RnQceWKWF79sojrVsfz+7dO2/xWegf19Azo+NN7eXaTsuKaHu594Yg1lc5i4cWPCtAbzaybH0F6nA9NHUP86toMBob0HD/bSlSQK5cviWJIa7RG2ntraOoY4k/v5dkMq10cFdy5ORlXjYK/fnJ2nCriaGELd2xKJqd4vFIEYH5qAI+/mo2Tg5wnb5nJ7946zYf7rKa8f753Pr2DOm7flExlQy+H8poRiWBpZhBJkZ509Wr503u54ya/JbXdHMxtApGAu7OKTYujyS5ux2iyYBHg2XdzufKSWNbMCaO9ZwSVQkpMiCu7TtRyKLeZJ2+ZSWSgC2AtUN23LZWhEQMxwW48/0E+fx1V+UklIls64F8/PYtCLmHz4ig2LY7CUSWbtD3qvwmpTMy+nIkT2AAOnGlkWWYwI3oTf3j7jG3SLpeK2bYilkevz6SrV0v1qA9ckLeGEb2J5h4t3m4q7tmSwp8/KrAVyy2CQEVjL/NSAliUEcSw1oiniwqVQmq99qjl7D5ZbNc+9tnBKjYvieKSmSHsOlFnt38KmQQHlYy92fV09I7wsw1JeLmqbcl55fW9fPJtJVuXx1Bad5GWzdoeVswMmbCQMaQ14umqxmiysPtUPbOm+eGglE1oMg1Wc+jlM0IJ9nFCKZcQ6K2huqkPLzcHnn8/j8hAVx67cQZKuRSxeMyjy4kgbw0N7YOkxXqxYkYoT72Rg9Fk4aFrMmho7+HE2RbEYnBUyekZ0LHjSA3r5oezIM2a4OeglLJxcRRB3hqcHeQMjhgn9EE6VdRGfJg7GxZEUNvcT1ldN9OjPVmSEYxCJqGjd4TKhl4CvDQ89Lfjttf98fZQHrw6nf05DXT2aQn2dWJBagDHCppZMzd8wnZNB6UUD2eVzezbZBZ4d3cZK2eF8o9RE3qwFsJSY7zJiPOhd1CPo0qGt7uaBSkBhPg6c7Swmefezx/nO3XgdCO3XTZtwgJQeIAzBsNUO/QUU0wVgH6kVDT2UdnUz7o5YVPmn/9BHFUyEkLd2Xu6kSXpgShkPwy59xQ/QkRgFKC1a4RhnZEgbw1quQSRcH5SqjUJ7DnVQFl9L2vmhP5Tb9vcOURnvxZfFyUyiZjtX5ewYUEkl8wIQW8009E7wv7TDXbeAWCdoC7PCuG5D/J44uaZWCwW3ttbzmcHqxCLRWQl+BDq50RZfS/rF0Ty/Pt5No+hjYsiiQ5y5cnXc3j0+kybQubGtQm8u6fMNtGOCHAm0NuR3791Gp3BTHqcN2qllAdfOmabCEslYjYtjqRvSEdlYx/Zxa08e8dcvjlZh6uTHDcnFe/tKeN0aTsPXZNum3RMFBEvlYi4bGEkgd4aAjwdeeWLc4jFImYm+vHWrlKSIjzoHzbw9aiM/0BOPQ9dk8Gw1kRh5Xm5e4CXI7dumDbhjfkYe7PrmT3Nny8OV1NQ2YneaJ08WdPH7JUUfUN6GtoGOFPWwYoZwXT2DOOmcf2nvt8p/m+IBIGZ8T6kxnjT0D6IIAgE+zghlYrJLe/kaGEzaoWUlTND8XVXIxYENAopWQk+9AzoueqSWL46VkvPgI5XPj/L9WsSWDEjhI7eEfQGM65OCv7w9sStFY3tgzioZCxMC2RvTr2d2W6wj4b6tsFJV+Tf31vOrCQ/3JyVtlaLV78sQiqx/p43Lo5kzjR/0uK8eHK7NZ3s5nWJDGuNPPNurl1ho29IzxPbc3j+7nlUTNDaMqw1kl/RyS3rE3l9Z4nNf0Qhl3D1JXGcKmpDqzeh1Zs4lNeEXCohPtSdxRlBiBHhqlFS1dRPgJeGOy9PRiYVc6a0g0O5jchl0kkVdgfONIy2gIn48kgN92xJ4dn3cjGZBQwmCx/sLef+rWmE+ztRUNHF3z47i7ebml9enc4Xh6uQSSV4uqjo6dcRHezCiKOCJ7Zn2wqvYJ3M7jpRx8ZFkUyP9iS/vJM3d5Xy843TCPV3QvgXG/b/OxAB5otUqiwWAYsg8PDLJ+xS6gwmC9t3FqNRy0iL8sDf04H69iHufeEIwzoTCWHurJ0bjruzkmfumENHrxa90Yy/pyPNHYMMaY3klnWw+2QdL943H5HZgo+rkm9ONUzoHfTBvgoevT6TvdkNdm1I81MCUMgkHM1vJiPehyGtEREjvPhJISM6E6F+TmxZGkNd6yBOF/FrdNbIESFw+6Zk/vD2GbtWMKlEhIezkv4hPRKxiA/2VbAwPZAP9403KgaYnxrI+/vKaOkcxs/DAbFIxK4TdSREeFBW30tZfS87j1mLv56uKhyUMiyCwD1XpIBIQCWX8Yd3ztiOUxAE9mbXszA1kFd3FNlt68P9FVy7Mo7f3jITqVTM9h3FvNFQwu9vm83JovGLD2PsOl5HiK8TeRUdPHpDFjqDNVltaMSAv6cjSZEe/PLFY7bnB3lrKK3r4aP9Fcye5kd4gDOt3SM2H6QHrkpjUbq1RW3s5+TmpOS+ransza6z23ZTxxAeLufbAxVyCfdvS+XTg5V29xKhfk7cdtk0jp9t4atj49vjwLrgJJGMn/eoFFKSIjwxX6QNe4opfir84AtA1dXVPPnkk+Tn5+Pg4MDatWu56667kMsvbsLb29vLc889x5EjR+jr6yMgIICtW7eyZcuW/9Ce/3vZeaIOTxcVEf6Tt1tM8e8hI9aLs9VdHC1sYXFa4Pe9O1P8BDGZzdR3DPPUG6ftihbzUwLYtjwaKdA1ZOBXL5+wtXGsmh06aeqWi6PC9jywFh383dSIBIE1s8P4xV+OsjQzCGdHhV0LxYWIsBqw/u5ns5DLJNzzwhHbe1osAifOtlJS08Ovrs0gu7jNzmB6x9Eafn/bbG5Zl2jXrhXoo7FrNXBUyfjrJ2fRGcxIxCJWzgzlN9uz7dRPJrOF9/aU88CVaXi6qBCAr47XMKw1smp2KI+8csKWvmQyWV+3N9uaJPbm1yXnPxONgt/cNIOi6i6eez8fQRDIjPchJcabl0djpxemBdrk8StmhJAR70NtywDr50dwzco4egd1qBRSDEYzOSVtFzX+HRgy4DDaVirCOgGZDKlEDIjYn9OAr7uaxAj3SY23p/g3IAgoxBDl54REKkZrtHCmtJ1jhS0U11gnM6eK2licHsTmxZGIBYHoAGcMZgGtwURarLfVvBv46lgNe0bbXMQieOymGRdNWmrtGiYp0oM/f1hg93dfDwfqWgYmfV1d6wCbFkUSHhDJk9tzbBNNk1ngSEEzpfU9/Pr6LO567hAms8C86f5o1DK+OFIzoarFYhEu6ve1+2QdD12TzvP3zLO1o8mkElvb6BgVDb2smxdOc9cw9a0D9A7qeXd3qe33LBaLuHxJFGaTQGVTL0He433JxhjRmfD3dGRYaySnuJWZib48e+c82nuGrR41cil6o5mCik5cNAp+dU0GjioZe7LrWJAayMHcJrKL2/D3dCTU3wmD0WxX/LmQb07UcdO6RNux7DhaQ1KEBz8E+1mTycKitMAJPXkA5k73p6tfZ1f8uZD39pYTH+qOwWTisVdPYbEILMkIYnayP699WWQzzXdykDNvuj9ODnJyStrJKW5DZzATG+KKUi6htVfL8GgC1WTklnWQEO5u848J9tFw6fxw9p1q4P4r0ziU28g3J+rw9XDgV9dmMDRi5NODVZyt6mJ+ij/BPppxXjdjLMkIxmi2Floevi6TwspOWrus6XlxoW68uauU61fHszA9kH3ZDVy7Ko6zlV3jVEWbFkWiM5hZPz+CX750nKaOIZbNCOGuzdOpbBhf2Ors1dKJFpHI6qWjN5g5U9rO7Gn+bFsey5H8JroHdOgNZvRGMxsWRFhbt0YVVd5ualt62Ztfl1A+ug0BYdJkQYCBYT09A3oWZwSTU9zOe3vKbN57ErGIq1fGsTAtiC+PWFWqPh4O1LUOMKQ1TtiK98w7Z3jpF4tYMSOEYa0JmVTMkNbAV8dqCPFz4lfXZvDixwW2fbpwsXrlrFC+PlE7biGptmWAt3aVsmZuGJ8fGq+WHTt+R5Xc7n7G203N/dtSrdfNH4IMb4op/s38oAtA/f39XH311YSEhPCXv/yF9vZ2fve736HT6Xj00Ucv+to777yTmpoa7rnnHnx9fTly5AiPPfYYEomETZs2/YeO4N9DTcsAxbU9rJ4ZMqX++R5wcVQQG+zKN6camD/df3QyNsUU/zm6enU8PoFp8aG8JkL9nJid5MufPyywK+rsPVXPlmXRtijpMUQiuGldAgqZhA0LIth/ugEfNzUWi4AgCHi5KHn2jrl8/G0Fs6f5T1oASo3x5mBeI3q9GYsg2G17jL4hPUU13fQNWidVYrGIK5ZGE+TjxLHCZoJ8NPh7np/gOarsfbZMFoHWbms7QnKUJzml7ZO2vn1xuJrFGUG4apS4OyswWwRyitvsbpBFIqu/SW5ZB9MiPXn42gw+PVhFc+cQv74hixc+zKe66bzhb2VjH4fzm7lyRSxPvZGDUm5Nc7p8cRQ6g4nHv9O2c9nCCDxd1UjEItLjfNAZzBOagQIkRniQEOHOI/6ZdA/osFgEHJTScZHKYE1xOV1qlb/vPFZLZrwvMumUGvE/iVgswmCxFgIO5zcjlYiZleTHpfPCeeGDfIa0RvafbmBpZhCeGjmCRUAmArlazvv7K4gNcef9vWUsywrhkesyMZjMyKUSZBIxcql4QrNZgGBfDb7uDsikYrQXhPT1DuqZFjH5gpCniwqlQsquE3UTmrp29moprevB18ORxvZBZif709Q+SNNFEvAa2gaIC3WbdIItk0rILWvnSH4LNc39E27X39MRndHER/sruHtLCk+9kWP3uMUi8P6ecu65IoXskjbmTZ/c4DXc35m88g4MRgtzpwfQ0TvCjqPVbFkazeCIkXe+KaOo5vyEUyoRc9/WVOYkB/DEa6dsyqKO3hFiQ92IDnLlgavSkEnF5BS3s/90g+18M6Q1Ir9gzDV3DP1g5p0Wi0CgpyOJ4e6c+84E3EWjYPXsMHafnLwo09mrRRBg/+lGgrw1bF0ew7DOyOmSNpbPDMHdScnb35TS1DHEzmO1uGiUtHYNozOY8XRVcdfmFI4VtvLG1yXcuzXlogXPEZ2R+SkBeLmqyYjzZlhn5L3dpcxLDeSJC4r/da0DnDzXyo2XJrJyVggyqYS/f3GOn29MZvmMYHaftC9grJodSk1zP8NaI2V1veSWnSIhzAM3JwXnqrv46ID1Onck0Ik1c8KwWKB/UM/8lABWzgqlqLoLjYOclGgvzlZ18o8vzrEwLZBHr8/kuffzcHdS8sT2bK5dFT/psd10aSJfHK5mb/b5fROJYMvSaIaGDdx2WRJfHa/Fw1nFL65Ms3knqRVSzlV3ERnoSvEFY+9YYQvToz05NYkKKCbEjaqmPoJ9NOPUqGaLwPadxTxwZRoHVDKGtEb6BvWkRHmQGO6BWmmdTuoMZr46VkNlYx/uziqrIb1cwr7seopre2zfx4lzrfh7OnL7pmSe3J5DiK8TXq4qlmYG46JRMHuaH3c8e2jC/Txb1cUt65Pw83AY5xkEsGFBBGfK2rl3ayoWi4BaKUUQBHLL20mJ8sLHRYVxgoWuKab4KfGDLgB98MEHDA8P8+KLL+Li4gKA2Wzm8ccf5+abb8bb23vC13V2dpKdnc3TTz/N+vXrAZgxYwbnzp3j66+//sEXgL48VoO7k5Lo0X71Kf7zZMX5sH1XKcfPtTIv2f/73p0pfkJIJGJyS9omTZv6/FA106O9xkWXny5tx9NVxS+vSmdfTj2tXcOE+Dqxek4Yxwtb2H+6gchAV27fmIy/lyNDBjNDWiOOKhkatZQbVifQNaBlWVawTbEwhkYtY83cMJo7hkiI8OCJ75gcX0heWQcZ8dZz982XJlJQ2ck7F/gI3LwukUBvDY3tg5gtAvFh7jZVxYUTBXdnJe3d428Ox2jvGWFmki8f7qsgr7yDlTNDKa49P9lJivRArZLx4DUZ6PQmPF1VfHOiloRwd9bOCaOuZcCu+DNGY/sg9W0DRAe7YjCa8fNwIMDbkWffzRv33E++reL+bak4qGQcON3Aylmh7DlZN66oo5RLyIz34eG/ncAiCKTFeuPv6cA9W1PZcaQGL1eVtX2itJ1Qf2fmJPvzu7eshqR9g3okEhEm09QN738SvQV+9fJxuvrOK0TGUohu3ZDEH9+xtnF9e6aRbUujMIwWRA1mgfyKTjxd1Tiq5eMmYvNSApiXEjChR4uPuxpfdweOnW1hSUYQn16QmFPR0MuWJdGTpvasnBXKiM5kG0sTkVvWQZi/s3XsmQU6+7T4TjIJA2vU87blsTz5evY4b5R188M5VdTK2aou1s+PsEtrGkMsFrEgNZDfvHaSrAQfjuQ32T02LdIDTxcVnb1aDpxpIDnSA5FIRICX4ziDaIANCyN58+sSOntH+P3P5/DenjJau4bpHdRTXNNtV/wBq1rwj++c4dHrM23FHweVjPu3pvLZYWuLHFjVEfNTA7lr83Sefz8Pi2D1OfF2V3Pn5dM5mNdIT78OsRj4L+8+EYnAKIhobB9k0+IoZk0bYl9OA3qDmdnT/FicEYxKKiLY13nS93B3ViIWw9CIkasuieXZd3PtzmlODnLu3pLCXz8tpLNXy+5Tddy1eToGg7UdzGwReGuXdSGiqrGfxAgPO1XYhcSFupNd3IbOYKKougs/T0cuWxTF469mT1j8f+vrEu7blsonBypZvyCSX718nL/9YhFLMoLJLmrDyUFGQrgHWoOJ9u4R2rqHmZcSwNfHazk3QdhBQpgnp0usxXZnjYInXs/ByUHO0z+bRVFNN18dqyGnxOo19c7uMoK8NTx8XSadfSN091sL+e7OynFKMn9PR1QKqV3xB6zilff2lPPHO+ZgMVuIDXZDKZcgFos4kd/CzEQ/zDKBU0VthPu72L121/FaXrhn/oTbk4hFrJwVyt8+O0tKtOck3yx8m9vI2rlhtPdq8XVX4+el4YUP8m3v56JRcPUlcZwubSMpwpPa5n6iglzHFRLB2k5eUd9HcqQnm5dGsf90A7GhbgwNGy6qVALo6tNyy/okdh6rIbe0HYtgDXC4bGEkLV3DfHm4mi8PVyMRi3jkukz+8M4ZnB0VzJnmj1g8tTA+xRQ/aGnCkSNHmDFjhq34A7BixQosFgvHjx+f9HUmk/VCpNHYS4UdHR0RfihLNJNQ2zrAuZoesuK9p05y3yPuzkqiAl34+mT9RWOfp5jiX41IBC2d4yc/Y/QN6SdVxew6UcdfPy1k85Jofn1jFtMiPfnNa9l8dbwWncHMueoufvtGDrWtA/zhnVwe/Otxbn/2EM99WIDOaOaXLx3Hw0XFPVekkB7rTXSwK+sXRPDUrbMAOFfTRWVDL47qyRPynBytUb/+no6YBcEWJz3GR/sruHFtAgFejvT069i0KBLN6PuN6Ew4jK5EtvWMEHiRdpAgHw1HC5o5VtjCiM5E75AejdraOrwoPZCZiX489XoOv/77SZ5+8zQPv3yCqCA32ntGqG8fZP/pyU1Sjxe2MD3ai4N5jVx1SSyHcpsmfe7+nAb8PR0RiUR0941w/7Y0kiI9bI/Hh7nziyvTePubUswWAUGA0yXtHMhpxM1JSUq0J70DOvw9HfnD7XO4YW0CZfW9xIa4AdZoeJFIhGRKifgfQyIV821uo13xZ4z6tkF6B/S2ViWrksd6rRaLRQwMG9Co5Zw428KmxZG2lfUxjhU0kxbrTUbc+QWu1Bgvfn1DJjddmkhTxxCRAS4szQwmwOt8AIQgwOeHq3ngyjTbGAFrW9nqOWGoFVJ6+nW2sTQRzo5ydKMtpVKpiCP5zaybxCBdLIL0OG9e31nEA1els25+ONHBrmTG+3D/tlQkYjF7TlkLzQPDBtbNj7C7Z1EppNyxKRm5TMTdW1JZtyCCrn4tANOjPHn0ukwCPDV09ekI9NZw2YJIwvyceW1HETesSWBBagBSiQiFTEJKjBe/vDqN7OI22ntGsAjWVrnGjkGCfJxwcVRw4HTjhMdhtghUNvYR4mtVT21ZGs3b35TapbOZLQIHTjdQXNPNvBSrAmn5jBDe3V3G618VExXoyj1XpNq+5/9mTIj47Rs5PLE9h0deOcnuk/Wkx3pz49oELpkRjLebGrPZQmyw67jf5hibF0ehkolZmBbA3z47O66gPTBs4LUdRVw6NxyA7j4tXi4qQrwckYuhtqXfVnA7cLqBNXPCJ2x5DfTWoJBLOHmulfzyTuraBvFyU9PWPTJpaqPeaG2bqm7uRyoR8ej1mQiCwNmqTsQScHNW8fwH+Tz40nFe21GEYdSkfaLWwiWZQQBEBrpy4HQDtS0DTI/y4MGr0zlxrpWc4jYcVDJ+eVU6C0ajxxvaB2nuHMbJQcGGBREMDOv51bUZrJsfjsMFita7tkxn59GaSb+nr4/VsudUPS1dw7g6K9m+o4jLF0djNJl5/NVTrJsfMa6d2yLA02+e5vGbZpAZ78PYcAsPcOYXV6bx1bFalmYGk1fWjq+HA86O9lYa7s5KVs4KReMgp3dAR1P7ECNaIwtSz1sd9A3q+ctH+aycFYqDUsqSzCAO5U1+/TtxroVrV8fRN6DnwOlGQnw0TIv0wMVRzv9vCvP0m6eZNz2A3/98Dr+9ZSa/vXUW3f1adoy2qEUEuPDEzTPZdaKWEZ0JjVqO0WSZmhtNMQU/cAVQTU0NGzZssPubk5MTnp6e1NRMfuL09fVl9uzZvPzyy4SGhuLj48ORI0c4fvw4zzzzzP95v6TS7+9G+4ujtXg4K0kIdfv/nuTEoxMC6z9/PEWK/5bjmp3kw2tfl5FT2sHcZL//03uNTd5+bJO4f9dxfZ9j8PtHRHyYOzsmuXkM8tagUkrxclXR0asd9/iQ1ohGLUNvMPO3z86Oe1wQ4K2vS1k1O5RXPj8HQO+AntzyDswWa5qHs6OcrARf/L0cCQ9w5r295bZCTn3rICtmhEyongGYmeiLm5OSjYsibebJF9I7qOf5D/K5dX0Sbs5KKhp6uHtLCpWNfdQ097NtRSyvfH6Oc6PKgl3Haydsl7l8cRQltT1cuSKW2tZ+csvauX5NAuequ8hK8OW3r9u3mozoTPz100Iev3EGJbWTqyTGiAxw4ZMDlVy2MJK+If2kz+sd1FNQ0UlWgg/uTir+8nEBc5P9uW5VPIjgRGErf/6wwO49nBzkzE3x59d/P8nMRF9WzQ6jpWuYyqY+ooNciQ12wWyxsH5+BFqDCaPJjMlk+Y+Pi5/qONSbBY7mN0/6eE5pGwnh7jS0D7IgNQBBsH43JgEO5zdx6/ok2nqG6e7Tcd/WVAaGDby1q5SeAR0aBzkqhYSMeB/WL4jEaDLT2afl6TdO4+qkZNXsULxc1QyOGHj4ugzyyzvJK+9ApZCSGe/DwLCen29MxmwRMJjMRAe5otWbMBgtvLu7lEVpQby7Z3xyD8Di9CCe2G5tY+zs1bIkI4iuPi03rk3gg30VeLupEQSrMuimdYnUtfZT2dTPY/84yQ1r4lmQGkB1Uz9/+/SsnX/M29+UsmZOGM/cMYfalgFkUjGOKjlKuRhBEJFX1oHZYiEywAWjycKijCCefD3b5gOUV97BrhN1PHh1Om5OSp56I4ff3jqT1XPC0BvM1LUOoNObyUrwoal9kOrmfoZ11u1vWhyFTCKaNAERrEVzD2clcaFuxIa40do1TEfvyDiPo2/PNHL/1lREIhH+Xo58dqgKQYBPvq2kqWOQqy6JQ62S/sdNaP/ZcSgSi9l5pHrUWN5KXesAdaMJZ3++Zz6uztbrtVos4smbZ/L0m6fp7LNeR6QSEWvnhpMa44XFIqCUS+mc4BoDVtNfr9FUvFB/ZyRiERIR42wLXJ2UGIxmnr5tNm/vKuVsVRcKuYR50wOYkejLn947b4geG+zGp99WsWr2PxdokFPcjpuTgmUzQ3BzUmIyC/zh7TO2xwdHjHx2sIq6lgEeuiaDc9Wd5BS3o1JKWZAaiJeripK6Hpwd5FblXWEz21bE8tjfT9oVvfblNHDDmgSGtEZ83B1wcpDx5ZFquvp0RAe5EObvgkgk4sGr0xEBrk4KjGaBhemBRAa6cKSgeZyCrm9Ij4+7A9+crLP6ZM2PYPvOYgK9HdGo5fQN6mntHiY9zpvTJefT9lq6hnn23Vzu2pLC0qxgjEYLLV1DbN9ZTEqMF/Om+9PWPYKrkwpnRwUOShkff1tBQ9sgd1w+nRc/LrD7Tg/mNbF6dhhr5oTZ7jksgnUxSa2QjlMaT4RMKuHlz8/h4qigqKab5o4hLlsYwbyUAGty33dIjHCnoqEXrd6Em5MSpVzCnlN15JS0MyfZnweuSkcQrAoji8WCYVT9umZOGCfPtbBhfiRS6ZQidoqfNj/oAtDAwABOTuN72p2dnenvn3hyMcZf/vIX7r77blauXAmARCLh4YcfZtmyZf+nfRKLRbi6Ovyf3uN/S3FNN+dqutm8JBpnZ/U//ToHteLfuFffH9/3cWk0KutE/EQdK+eG/0u8gJycVP//J/0A+Vce1/c5Bv9biAp0xc1JOeEq6LWr4/HzcOTnm5J57O8nxyXmXLE0GncX1UUnsM2dQ7hqlLb/VimkjFwwoesfMrDnVD0ujgrC/JztVDxNHUPIZRKyEnzHeRGsnx+Bt5sand5MqJ8T2kkidXsGdHxxpJqrL4klMdyTb880Ut5g9SfxdFHywFVpfH6oms8PVfGLK9P4x5dFtshZZ0c5j1yXSXPnEGfK2hkYNhAX6s7dm1No7xnmxrUJHJhE3WP1tWhg3nR/vFzVk7bLzEzypaljkOfunovRZCEx3GPSgld8mDut3UPoDCZEwPVr4unu0/LajmLWzQ+3eU1cyNLMYD79tmq0bcfI46+dsvmLiEWwdXksWQk+PPtuHr+8Ko3+IQNB3k6o1RcPR/hX8lMeh/2D+oue76ViMRaLQFKEO8E+Trg4WcdS/5COrARf/vDOGbtJlo+7msdvmsGIzoBOb6awspNPD1azOD2QBWmB/PnDAhLC3VkzJ5x3dpfSMDqBD/F14vZNySSGu/PRgUq7wotCJkEqFTM9yhMvVzXJUR7ctC4RvdFMSa0n+RX2LTdblkbjoJLxyHVZPPdeHmX1vWxaFMmdfzrEzeuSePSGTM5WdiERi0iM8KCktpsAL6tqQhBAqzfT0Ts4abx4WX0vSoWUr4/VYLIIqBVSHr0+k3tfOIJWb0IsFvHrG7KIDnbj1S+Kxpmam8wWXvqkkKsuieWlTwpRyKS89EmhzQAXrG1Zd25O4aP95fh5OnLNqni+Pl5LuL+zLW57IjLifEbjvut45t1cfN0duO2yZAoqO9l9ss72PKPJguvohPTFjwrsPH9OFbWxcVEUzo5yXP+D1/H/yTjs6tOOa9+9kGNnmwn1d7Zdr12c1fzxjjn0DxkwGM24aBS4OCpQKqToDCb0PRMXf8Ywj36H166Kx9Pt/D4G+5oRiyAj3of5qYG88XUJIzojK2aEcOPaROra+jl1ro0nt2fbTIpVCimpsd58sL+cBWkBk17/FHIJCplk1C9HRO+gHp3eTLCv07ii/xh55R0M64x09+twclRgMpmRSkT85aMCkqM8UUgl3LctldqWfv7++blxiidBgNe/KuGpW2eSX9HJk9vPb6eioZe9OQ3cvy2VFz7I5+Z1iYgGrUXD1m6r4fQ9V6RwOK+ZowXnr8lRQa4UjbakVTf3I5dJqG7uY1lWMNnFbQxpjew8WsP929KQSsRkF7ViEazXB283B+RSEVKJGFeNArlMzN2bU5DLxfzp/TzK6s6PGbVSyp2XT6empZ9vzzROWNDbeayGR67LtPMPq28dYF5KAIdzG7l8aYxd6uWFzE8JYFhroG9Iz9p54RzKa6K6qZ/0OG+2Lo8B4HB+MxaLgEgEqdFerJgZyh/fOcOWpdEYjGb2ZLfQP2xgYDRxc2zhSC4V88ur00mJ9mbu9ABcNAoqGs0olTKUysmVjlNM8VPgB10A+t8iCAIPPvggdXV1PPvss3h6enLixAmeeuopnJ2dbUWh/w0Wi8DAwMi/cG//OQRB4PUdRXi7qQjxUjM4ePELL1gVMg5qBcMjeiw/ojal/6bjyor14rWvS9lxqIoFKf97LyCJRIyTk4qBAe2PKsJyouP6v04av68x+N+AVCpBJAYPVxW/vWUmL31aaEvRcHFUcN3qeIK9HentHSbY04Fn75zHRwfKqWrsx9NVxcZFUYR4O6IbMaCQX9w0+MKF2tbuYeLD3cc9Z3q054Sxs3/77CxXLI1mSUYQZfU9iEUi0mK9OVbYzH1/PopYLGJusj8/2ziNR185MWGCVXyoO298XYKLRsG1K+PJiPdmYNiITCJCJBZx1+ZkLAK0dw9z7ao43JxV9A7ocNUo2H2y3q6Fq7VrmGOFzfzyqnQEQZjU0wSsxS+5TIKvhwORAS5UNvXZPR7krSHE15mn3sghKcIDB5WMedP92X2yDt13jK8VcgnLZ4Tw7Lu5OKhk+LipKajsIiPOG09XJc6OExexIwNd+PZMI4szgnjufXtvIYtgVVT86toMrlkVywf7KrhhTTxanR6D/p9f9Zwah/97JBIRy2YE848viiZ8fM50f6RiEZctjASzmd5e6+/NKMDfPz83bpLV1j3C8x/kcffmFLzdZJwqsnqOWCwC355pRCoRs3FRFE+8Zm/8Xtc6wEN/Pc5TP5vF8cIW22QZzrfCnDzXyn1bU/n1P07xm5tm4KZRcMOlibR0DlFU3YVcJrG2EwpwOK+Js9Vd/OKqNE4VtdHdr+OaVfGU1HaP8/BZNTuU5Cgvti2PoX/YQHy4O9EmV/blNExohrwsK5iP9ldgMguYLQLLZoTwyhfnbMoci0Xg/b1lXLsyflJFXc+ADl8PB566dRZfHqm2K/4ADOtMPP9BHr+5aQZSiYiy2m4O5zVR2dDLdavjeXKCAsCcaX4M64z84e0ztv1u7Romr7yD61bHkxrjRW5ZB2AttvQN6dl1om7C/att6cdVo6DXMPn55UL+FQXU/8k4NJkFW4vfRAwOW4uHF16vxYCrWsrYdEI7okevM1DW2I9YLEIiFtn97saQS8Uo5BKe/tks3J2VtHUNIZeKEQO9A1quWBZDRKALv3n1vPn2B/sqqGsdZNY0P6qa+mzvG+rnZP0d1nQhCLDzaA3XrIrj+Q/yx7U7X7k81la0m58ayOG8Ro7mN5ER7zOpWgmgpLabmBA3PvjHKWYm+dI3pGf5jBBrwaG7luhgV65cEceLH4/3srJ+thZkMgkf7isf95jeYOb9PeVcsyqOxo4hu7TJ1q5hckrauH1TMu09I1Q09KJRy4gJduWj/ecXB8rqegj2ccIiCKNtkY4YTVYPq+UzQvjVtZkYTRZkUjEVDb1UNfYR6O1EfdsAUokYB5WM3Sfr7Io/YFW+Pv9BPr//+Wzuef7IpJ/PueouooJcbIbvPu4O1jaxzmFCfZ2IDnIdNx79PR2JDXUju7idGYm+ODnIqW7qx0ElY0hrwmSycOm8cJZkBCEAjio57T3D1LcN8PiNMxCJrPtXVNXNooxAO6UTwNblMXxzso7TJe3ce0UKHx+o4MoVsbbz7T/LT3UhY4ofNz/oApCTkxODg+NXbPr7+3F2ntyg7tChQ+zevZsdO3YQHR0NQGZmJt3d3fzud7/7PxWAwBqh+Z/mXE035Y19bJhrTSOAf8bLyLqfFrPFthLz4+C/57jcnZTEBLnwxdEasuK8kf0fWyLMZsv38vv6d/OvPq4f42d0UUQihg1mDubW0tI1QnKUB9OjvLh383RGDGaMJgtqhQSFVIzZZGHsFt9FJeHG1fEYzQLSUQm+xWzBaLYm5kx2854U6UHFBTdzni4qBAGig10prz//d4lEjNE0PsHFYhF4Z3cZvh4OXHVJLF8eqSEi0IUvj1gl5AqZZNSQWWDt3HA7M1uwqnimRXrgoJKSEe/DQ387bmtDGMPLVcXN65NwdlSQX9FJU+cQH+6r4IGr0ib079EbzHx6sJIVM0II9nGyqSi+S4CXhuyiNpbPCOK2jdM4W9XF8bMtWCwCWQm+BHg58peP8nF3UiCRiCmr60WrN/LbW2fx6pfnKB29wY4OcuWGtQkYjCaaO4fYtDgShVxKUXUXeoOJxRnBnDjbYjfBHEMQYE6y36RKJYADpxtZnhVMS9cwFgGkEgkjE3wX/05+cuNwFJMJMmK9+fZM4zjlV2qMN/GhbiglIkwmCxd+RIN686QqlOqmfiwWAYkgsDAtkG9O1uGgllPd1MeMRF8O5zVN6DenN5r59kwj6XHetsLRhZgtAiKRCEGATw9Wcsv6aeSWtrPzeA1uGiVGk4Wa5j6igtz4cH8F921N5bn386hvG+Q3N81AIZNM2Kbx1bFasuJ9cVDJyK/opG9QR3KkJzddmsj2ncW2yGqxCFbNDsPDRckDV6ahN5oZ0VlbOz7Yaz9ZLqvrZWD44uaw/UMGBEHgcP7EviMjOhNt3SN8/G0Fa2aHAda2GJlUzINXp7N9ZzHtPSNIxCJmJPqyZVkMv3zp2IRFq/f2lHH3lhTb+Jyb7E9uafv4J46ikEsRLAImy392XPyz41AiFjM9evz5ZoysBB9g/PVaLBZhEsBotiAWWQvwL35cSFqcN8uygicsiK1bEIGvu5oP91dw4mwrZovArCRfLl8SjUgkws/TgV3Ha8cpVE8VtdLaNcTtm5JRK6WYzBaqm/p57ctzbFlqVYzUtgxwNL+ZR6/L5GhhMzXN/Xi7ObAwLZAzpW3klnUwJ9mPIa2BrctieW1nMcNaE6KLJITLpRKaO4aYN92f+amBVDb28t6e87/PM6UdLE4PnvSz9XBRUneBt9F3qW7uJ9Dbaqj8Xcbarq9bHc9+uYT18yN4dYe1uCwWWdvkPJxV9A1Z1UwmswURItu1Y+fRGnYerUEhl3DZwkjS47zpHzZgtgiE+7nQ3DmIWCTi2zMTjxmt3kRr1zDOjvJx5tFjGL7TYrx+fjhPvWENImjrGeGOy5MprethX441KW/2ND+SIj1Ry6UkR3oilYp56ZNCYkPcuHxxFDuP1/DCh/koR9v9lmUFsye7nrqWfpuhtvWa68OmJVH4eThwy/pE9pyqx9tNzYLUQPLLO2xFobe+KeWOjck4OSh+stelKaa4kB90ASgsLGyc18/g4CCdnZ2EhYVN+rqqqiokEglRUVF2f4+NjeXjjz9Gq9WiUv1wWm0sgsAnh6oJ8HQkzG/ymNcpvh9mJfiy/ZtSjhS2sCh18ojaKab4XyEWUdbQxzPv5tpuLk8VteKokvH0z2ahUUiwjBpomr9z4yMI1v+Tiaz/vPDmVC4Wcefm6Tz3fp7dTbGLRsH6+RH89ZNClmYG4+6sRBAEKhp6uWxhJPnlHRzMbUKrN9E/pGdOsj9nJpkUJUV4cLSgmbK6HkxmC95uarYsjUYqFdM7oMPLVU2Qj4bWrmFOFrUiEomYkeDD1uWxdPVp6erTcuB047jiD0BHr5bKhl4SIzxo7hhkUXoQIb5O41Y4L6Souptty2JZNz+cY4XN4yYDYpFVsv70GzkkhHsgk4o5nNfEtChPxCIRJ8+1UtXUh0wq5uHrMvnt6zm21jNvdzW3bZiGi0ZhM6I0Gs1UNvbj7aZmWqQnL3yQT3PnMCKsK6hfHa+1TooNZruEIq3ehK+Hw6QTNbCqIdq6h0kMdwcR33sx/MeIWCzCjLWgKR8tro4hReCBbWlUNvWRXdyKk1pBepw3fu4OSAQBk2n896EzTK6+AGsxB7GcviE9l84No7lzmHB/FzQOMo4Vtkz6uvL6XpKjPIHxBaCEcHeqRlVsc6b5MzCkR+MgZ928CDxdVOzLaeCSmSH8/q0z+Hs6MjBisHnESCVivj0zsXkyWFtDrlsdT0ltDyfOtbAoLYiWrmEeuzGLYa2JEZ2RQG8NUomYsvoePj1bhUwiZkaiL+7OygkTywSsyjm9YbyaTaWQ4uakoKtPN6FqcIzW7mHUCikuGus2/D0dkErE7DxayabFUUQEuoAgUFzdTUfPyKRFJ53BjEUQEItgeowXq2aHjitajaGQSYjwd+afW5z7fhAJFq5cEUthZde4zz0ywAV/T6upuERibWG0WAQEkYimHi2vfllEXesAcqmYR67PpG9Iz/6cBm5el8i25TF8fbyW3kE97s5KNi2OIjrIlYf+dsKuTetwfjN55R38/udzMJosVDT2Tbif9W2DfH6oipWzQjAYLeSVd9DQPkTvoJ64UDdKans4XdpOYWUni9Kt6Wx6o4VPD1aCAHdvSUGllDA8YuR0aRshfk4UVXeRMknxSyYVExvqxqcHKwnxc8bLVcWLHxcQ6udE76CevkGrIq1/WI+Pu9WEetxnKxIhEV+kLVQiom9QP6FfHVg9f3w9HIgMdOFP7+cxOGJg7dwwkqO8aOkcwsNFRVqcNyq5hLsuT0alkLAwLZAALw37TzdgNJr51TUZfPptJe9ekKoZEeDMbRuTrcXoi6jLu/u1pMV4syd74hbBxDB3Duc2opBJ2Lo8BotgVQm7ahRo1DIEQcDNScnCNKthtKNKRnPHEJ8drOLqlXF8cqAShUzC5UuieOr1HNvnMKIz8c3JOopqutm4KJJd3/EFPFXUxswkP17bUcSq2WEszQymo9eqlHJxUpKV4EtOSRudvVpcnZVWM/GLn2anmOInwQ+6ADR37lxefvllOy+g3bt3IxaLmTVr1qSv8/f3x2w2U15eTkxMjO3vxcXFuLu7/6CKPwDZJe00dgxxxeLIcQZ6U3z/uDsriQ9xY+eJOmYn+aKQXby1Zoop/icYzALPfZA/bmVxSGvkxY8LuX9ryv8u7lEQSAhx5c/3zOdQXhNt3SOkRHsSH+5BcXUXN16ayIHTDZTX9xDs58T6eRHc88IRMuK8+dllScgkEtp6hlHKJYT4OtmMRMdwcpAzM8mP37x6Co1ahlgs4tYNSbz4cYFdetKYj8maeeFoVDLEIhHNXdb42Pgwd2RSCd5ualuh5UJyyzqYOz2AQ3nNJIR74OmqRnIRc3yRCMRiqGnq4/5tabz82Vnb5M/ZUc61q+LZc6reuuJtsbD7WB0rZ4fy4seFdq0GK2aGsD+nwbZPMqmYG9Yk8P7eckrremzPc3VS8Oh1WYRf7kJ+RQdLM4MJ8nGibTSaWm8w88d3crlsYSTrF0QwNGLEUS2jd1BPbIg7VY39E8Zdg7VNrGdQR7CvEyLA8h9WHfzYsYhE1LQO8sWRaoZGjKREe7EkIwiVVGSdGAsgF1snzgqZhNauYcQiEQLWwtFESXxOavmkKgSJWIRCLuGbk3VIpGKWzQihqWMITxcVB8804u6knFS15uGsHJfoA9Y2nPXzI3jhw3yuWBZNW88IL35SSICXBleNgs5eLStmhoy2ZBjJTPAl74IJcn3bAP0XMTjvH9ZjMJrZuDCSVbNDkUhETHP14JsTdagUUvadbuDxG7N49t1cO+VTblkHqTFe3LV5Os+8m2v3nvuy69m8JNquTWaM61bHoVbK0DiYcXFUTNoqFuDlSP+gHh8PNQ9ek051Ux8N7YNctjAStUrKjiPVtlSwh67JmPT4wNpa++sbZ+CklvHUGznctjGZ+rZBu6K0RCzito3TsAgCklH/p/9GBAGcVVKevWMO7+4pI6+8E7VSyoqZISxJD0KEwLmqLqqb+vB2VxPm50R7j5ZHXjlh+80aTBa0F7SavvL5OeJC3di2IhYHpYzBEQNhfhpOnmud0KNncMTIvpx6pkV44OaktBVXvoubkxKxWIyzo4zlWSH0D1l/a9evSaCpY5B3villXkoAyVFenKvuRhAENsyPoL5tkNe/KqZvUM/jN83g3d2lbFkaw4sfF3DH5dNpbB+0C0eQiEXcvimZqqY+FqcHMaIzYrEIXLkilpauYbzd1KgVUt7ZXcbXx2vZujyG597LG3c9zojzwdfDYdLxHeCt+adKg7llHQwMG7hpXSLVTX08/uop22NyqZgbL01EIRfT1jPCXz4qICXai5v/H3vnGR5Hebbtc7avVqvee5dVrWJJ7r1iDBgXTDW9hJ6QQEJCEkJCEkpIQmgJHWzTbGPA2Ma9NxXLRc3qvbftbb4fK6+9lmTSvjcUnT98HNa22dl5Zua5nvu+rqsyCPHX8Oneak6cdfoGadRybl6cipdGwfGydnKSg5ztiaPsb18vFRFBWnYXNQ1LF8tODiTYz4MfLB+PXCZ1RdfHR/hwy+VpKGQSXt1wkpKLfIBiw7xYNS+ZvSVNTM4MxdNDweaDdSOKYI3tg5gt9hGv9V8erCMl1o83PjvNL2+fSHOnjs/21dCvM5MS68+vbp/I2m3lSASB0rOdZMcHfKesFMYY49/hWy0ArVq1infffZd7772Xu+66i/b2dv74xz+yatUqgoPPR6SuXr2alpYWvvrqK8ApHIWFhfHAAw9w7733EhQUxP79+9mwYQP333///+rr/FtYbXbW76khMcKbiEDPr3/BGP8TJqeHcObzMnYVNbNwKDp0jDH+UwRBoKl90NVOcTEVDb2YrXbU/27roUNEI5dw1dRYEMBhFxFFEblM6maYWd82SKC3mgUFUXx5qN6t1cTPS8Xv7pnCvhPNbD/agNXmYEJKMFPGh/Hq+lLsDmeblwC8sr50WHR2XesA731ZxlUz4pFJBH731jG3iYOfl4oHrskaJhwBKORS5FKB8QkBvPtlGU/dPZl+nYUPtg83VgbITgriQGkLn+6t4eVHZ3Pn0gzkQ2a+Zqudz/fXUtnQy6JJMRw80UJJZScyqYRf3FpAbUs/PQMm0uMDiArW8uDzu13vOzMngv0lzS7xJzXWj2lZ4aTG+vHul2UcLzs/qZZIBO5dPp781GA+3F6J0Wzj3S/LAKeQZLU5iArR8thNeVw5I449xU3Dfn+VwpkS1TtgIj3On44eA17hY9Wh/y0cgsAHO6rcDI3rWgfYeriOP9w3FY1cgiAI9BqsPPHaIbe0qGA/D359x0SUkuETQZVcwuzcSHaMUFUzNz+Kz/fXopBJiI/0YeexRpJjfGnqGCQvLYTkaL9hxs3nWDgpBkGAHyzL5LP9tQwaLKTF+jN/YjQffFWBQiYl0MeDLYfq+PktBTR2DNLRY2ByZhg+nkqUcqdxrt3uQCE/fy45XdtNWpz/qJ5ZOUlB9OlMKBUyBg0WTlV3E+SrZl5BNFsO1RER5MnhU20jtr0VlnewaFIMIX4etF0w4TtW1s607HAevyWfDbvP0tKpJzzIk+WzE2nqHOTJ1w/zi1sLuG5BMi99MjzFMD7CG6PJxoJJ0azdVsH+kvOVU4IAd1yZjlx2fpHGYLKOOjHWqGTojVYUcik7CxvJTAjgrx+WcOuSNMwWO7WtA3hrFOSlhvDWF6eRSSWkRPuMuK++KYgOES+VlLuvSh9qTxRRyiSYrA5+9foRWi/4rW9dksbuoqZhx/GgwUKAj8p1Pj5T2+PyhlErZfz6jkmUDgkRI3HsTDtZiYEsm5XAM+8VjvicgqF2tK5+I4E+HkzPjmDLoTo+P1BDdlIQT941hU17q/n5KwddrxEEWDYrkVm5EWzYXc2ewibS4vx5Z/MZ7l+ZxSc7KrlpcSpGk43qpj5CAjRkJwfR1qXn0z3VxIZ5cdWMBBo7Bqlp7mfH8Ub0RivengoeXpXDy+tLOVjayu/vm8aH253eev7eKpbNTnRVT62ckzTs+iOTSrh2XjI2uwO1UjZiIl2AjwqTxcb9K7Ow2hzUtw64RMpzWGwOXv7kBL+8YxLt3XpE0TmOCss7ePyWfA6ddB7rSrmUX9yazyvrT7oWZorKO7h6ZgKvf3Z62GfHhXszoLewcXc1j9+Sz1dHGzhZ3YWnWs6s3EgCfdQ89tIB7HaHq2V81bwkJBJQKiTUtw4OE3/A2apX3zZAW5eeZbMTMVvsvPDB8Ba4c5Se7SIhwmeYAKQ3WVHKpUzODHUzgQbnvcmeoiaeuK0Aq9WOv7caqVTAPhYCNsb3nG91Rqu3tzdvv/02UqmUe++9l+eee47ly5fz2GOPuT3P4XBgv2C0e3p68tZbb5Gamsqzzz7LPffcw549e3jssce46667/q+/xn/E9sImegdNTB//n8WMj/H/Fx9PJRlxfmw+XH/JuNkxxvhXEARGbIW4kEu1QvyzWK12rBY7drsDs13kpU+GG12u332WqBAvfn5rPmlx/kQEebJ4cixP3T2ZUzVdlNV289hNedx9dQZGs5Un/3EYndHKrVek4eulBIQRS+cBiis78fJU8OcPSoatGvcMmPjHp6e4embisNdNzw7n411V3HFVBg+tykZnsOLvpXKa716E1kPOFdPj2D50U/3CumK8PZW8sK6Yp98+xvNriqhs6CUzIYCspEAOn3aKXMfL2vntm0dIj/OnIC0ErYecpg53UW5CSjAHSluQSSX86PocMhMDOVXdxYHSVjfxB5ztRC9+VIJCLiX2opbec++5Yk4i3f1GTtd089Tdk4kJPf+8hAgffnzDBA6WNmOzOzBa7Gg0/3fpX98HBo3WEdOs9CYbb39RBhIJFgf85o2jw6LC23sM/OXDEhyMUInmELl2fhJLZ8a7TNjVShkrZieSHO3LjmP15KYE85cPipHJJFTU9+KlUSKTStBqFFw7P5kLC9wkAqxenIqfl4qSqk7kMgmPXJ/Dz2/Jx1PtrFg5U9vD9OxwTlZ3smx2In987zhvfX6GzQfreGV9Ka9scIq0c/OjKK7sYFJGqOv9D59sZVpWOKoRDOM91XKmZIXh7+3BC2uLeeqNo2zcU81rG0/x8At7SInxY0FBNLtH8A86x1dHG/j5rfksnBhNZLCW9Hh/HlqVTWevkZc/KSU11p9V85NJifHj7xtPEuCtpq3bQG3rAL5aFasXp7oqn6QSgRk54dy3IovoEC2lVV1u4g84BbnXNp4id1yQq1J3074abr0ibVjloERwJipu2FPN21+cIS7cm4WTYrj9ynQUcilengrSYv2w2hxs2ldDcUUnHb2GUT1gvkmIIuAQkSEiA2wOkZfWl7qJPwBBvh7UNA9PN/xsXw23XJ7mbLe5AEGAWy5Ppby+Bw/V6OvPHio5/XoLOqN1WKS7TCpw2xVpmMx29hY388nOs/TrnO2uabF+CILAyeouqhp78PVS8thNeTxyfS6TM0ORCAIf76wiOcoPD5UzqWx6VgS3LkkjyFfN3VdnEhHoSViAhinjwwj0UbN+ZxXPryli+ZxEgvw0PPHaIV5YW0xTh44fXZdDZkIA/ToLL68vZfnsRAK8VVhtdjITArluQTKzJ0RisznQGy1s3HMWQYAfXptDZmIAEUGezJkQyTP3T8PXS0WQj5p7lmVycSG/TCpwx5UZHDjRwtNvH8VssfHZfnf7i3M4ROc1KS7c223/2+wO17F3w6JxbD5Q61aVW1bXw6DRyi1LUvEZCh+QSASmZYVxw8JxvPPFGSoaevntm0dRyKXccWU6d1+dyaGTrTy/tgiL1e4Sf3KSAzlR1UVipC91LQNsOVw36m+9/0QLWclBhAVoiArR4qG81HEhG1Z9BDA+IZDq5n7S4wLcxJ9zGM021mwrp6vfhK+X8htbgTfGGP+XfKsrgADi4+N56623Lvmcd999d9jfoqOjeeGFF/7/bNT/EQN6C58frGN8QgD+Xqqvf8EY/1MmpYVwqraHHYVNXD455n+9OWN8SxAEYahlxDFspdXhEN0m/xcT5KtGrZTx3/Sd6NNZhqVZgXPS8OqGk/zxvqlMywrDR6skOsQLpUzC7qIm6lsH+PMHxaTG+rF4Sixz8qIY0Fk4UNrM5dPi0RsvbVBst4s0jmKQ29ShI8jPvXV3fGIgAT7O7//Tl/a7JuIKmYTHby0gLc6fLYfqGDRYyEoKJHdcMK9tKEVvtOKjVZKfGkKwn5pnH5xGTVM/pqHyc29PJR/uOO/zkRjpw21XpPPxziqmZoXj56WisqGPjPgATg7F9IqiU4i75fIUdh5rpLiyk3uXj2ftKH4hoggHS1v4wbJMvjxUz76SZqw2BxFBnqyck0RReSfTssI4UNKMTCJw38rx2IcSfHoGzeiMFpKi/Hh1fSmP3JDrjOMeu+f9ryCTSTh2CaPf4+XtGCypGIzWEVtcwFkRYbQ68JANF4FEESalh5KdFIQoivholaiVUrYfbWTpzARO1zirbpKjfWnu0PHbt45y/4osLFY7Pf1GfnHbRFo6dQiCQEqML1KJwAND1WiLp8SiVsr56mg9i6fEkpEYgMVqJznKl6YOHS9+VDJMUO4bNPPihyXcf002HT0GevpNTB0fxv4TLdjsIv06ZyvNu5vLOFXTjSBAzrggVl+WisPuYO22ymEVQg6HyF8+LOaZ+6djv0Rros3uoLVTT1qcP/4+arISA/n9O8dcRrQf76xye76AQGZiAM0dOtZuqyA9zp9bLk9DpZAhCFBe34PeaEEuk47qZQJOX5Hs5CAOn2qlprmf3YVN/OLWAg6UttDUoSMiyJNJGaHsPN7I6SFvrhA/DZ5qOUqF1DkRFuFsYz+ZiQF095koq+12Vml/C8ehyeLgRNXwih2b3YFKIR12PahrHWD70Qb+cN80dhU6jdDDAz2ZXxDFFwdqOVndzU2XpYzqYTa/IIoPt1fS1KHj4Wuz+cuPZlJe34tEcCZHOUQ4erqN42Vt/OzmAgb0ZldVyG1L0gkN8KB3wMQX++tYs7UCpULKzJwIHr8ln+feL2RfSTMFaaEsnhLDibOdxIZ587u3jtHUoeO6BcnsP9FCS6eOn92cz57iZu5amsFn+2pcVUzgjIYvPdvJY6vzaGgfpL3HQKCPGq1GweMvHxz2nX5yQy6VDX3sKmzCV6tkWlY4q+YlM6i38PTbR+noNRLi78GdV2Xy7APT+XxfDW09BiKDtUzODOXTvdUUVziraLSa0c2YAdfiwF1LM3jpk1JE0Wnwfc5TKzMhkLc+H95C+eH2StLi/PnlHRPp7DUgis7FyydeO+QSXsxWOzuONbDjWANXz0rgiulxvPdlGR29RtRKGQsmRpMc7cugzkxFfS9tPYZL+s/Z7SKBPmqMFjsOh4P5BdGjVujmpQQPqwjTesiZkBrMO1+cGVGMPMfJs91cMzcZpVyG5BJt4GOM8X3hWy8AfZ9Zv7cGUYQpF6zIjfHNxUujYHy8P1uONDA7J+KSK2BjjCGRCJgdIi0dOjp7jUSFavH3UiFDdBOCVHIJi6fE8MWBOrfXCwLctTQTpVT4rxoAf53NWO+gmVfWn3T9/5n7p3LN3CR6Bsx09hoICdCgVsp4eX0p9a1OQUciCKyclzzqe8plEizWS/fsq5UyJmeEIgiQlxqCxWJHKhH487pityQzi83BL187xKM3TiA0wIMomZZZOZEcOdPK4qlxLJVJkUkFvDwVHD7ZRlldD21delbMTeLJ148gl0mYkRPBozdOwFerBEHAZLFx5Yx45FIJNofItiP1PLQqm/L6Hqw2B1a7HX9vFSH+GoornTfeGrV8VI8SgM4+I18dbcDuEHn42hwEAbr7THy4o5K2bgOLJsewYFIMIf6ePPLnvcSEepERH4BdFCkqb6et20BanNMnqLF9cEx0/i/iqZazfHYiGrWchrZBDpxodvlWCDjHgGWEleoLsVrtIHO/BtgFgb98WMLJaqeosHhKLJkJAewubMLuEJmRE05ksJapWWE8/tIBfnZLPo9cl4uft7M9JDJES3uXAX8fNR5KKRv3VjMvPxqJ4KwM6OozEB7kSe+gmSdfP4KvVkl8uNPUViaVjGp2XNnYR5/ORGy4Nymx/qTE+DG/IJqmTh1t3QZMZjs3X56KVCrBbncwoLcgkwi095o4cnq48TQ4BdGeQSMFaSF8tn/4qj1AfloIUaFevPXFGQ6dbCUqWDts4quQSYgJ88bhENGoZSyflejyDTpV0+1mng4QG+aNUiEd1VsGoF9nxnuoCgKcbTQnqjq5fuE4JmWEYnc4+P3bx9y8SgRB4IHn95A7LoirZsSjN1h5eUMpDofT/PahVdkE+qoRYaTar280FtvIx/LB0hbm5UdhtjoIDdAwoDezp6iZngETJ6o6uePKdFbMjMfmEJEJAjaHyOTMMKqb+xnQW5ieFc7ekma398xPC0EiCC5vs037aihIDaG1W0+IvwdldT0cPtmK1ebg2Qen8+qGky4RDpztY+nx/tx1VQbB/h7ONmiLna2H66mo7+W2K9PZeayRGTkRNHfo8PFU8rePSly+P00dOuLDfRCAqsY+PNVyvDQKN/HnHDa7yIbd1czPj+bDHZXIpBLeWj+87RCcY8hXq6S502lWbXOI7DzeyPYLKgnbug08+fph7rgqncunxrK3pJn2HiNPvXHEVcnro1WiUsiID/cedmyfIz7ch73FzayYm8ifHprBlkN1tHXrmJcfxYmqTkxm24jpngCna7qprO/ls/01NHU4RbDRDtivjtTz6E15/PL2iVhtDvQmKzuPNfLc+4U8/9AMfvnaIbQeCuYXRI/a8jc9K4zkKF8GDBZe21DKDYtSSIz0oeoiA/Br5iYREezJ47fkY7baqW3pp6PHwLTsCP6+8SSBvmoUI1QiXojWQ8Gg3oLaW3nJ540xxveBsRnot5Ta1gH2nWhhdm7EJUsmx/hmMTEthNKabrYda+CqaaMn1Y3x/UYiEejRW/nl3939Q6JDtPzs5nwUwnkRSBBFlk6PJznKj493VtHdbyQhwocbFqXgr1X8180OvTWKUX0KfLRKgnw9XP4PueOCkMmkPP/WMTcPjdAADfevzOLpt5wtMosmx9LcoSM7KXBEH5P5BdEIAqPG0kskAlabg8umxCIV4Ktjjc7JecfgqDe6n+6rJjM+kA93VHKqupv7V46nX2ehT2fmVE0P24828NC12bz1+Wkmpody+FQrNrszKWV3YSMTUoLYtL+GQ0MRxh4qGctmJVKQHoLdIfLxzioevyWfLYfq2F/SzLXzx1HZcD6BrL51gHHRviNOLADGRfuh9VDwh3ePsafIvU3m5sWpdPcbeW3jKS6bHMPs3Ah2Fja5lfQr5VKWzUrgLx+UkBzti2PSiB8zxr+IxS7i761mT3Ez/TozyVG+PH5rAR9tr+RUTTe544I5fKqVhRNjRn0PpUKKXRRxCAKSoYEslUo4VdPjEn+mZIbh56Xi6bePcfPlqXiq5Xy2v4a+QTPjYvz43Q+mcOR0G5/uqUZvsiGRCExKD2VufiR/XldMn84p5niqFeSmBHPsTDtSiYSth+u4dn4yDW0DpMT4oTNaKavrJS7M+5Lf22C08eH2Slq79MikTjPVp+6eQmO7jve+LHP5+Cyfk0BCuA/NXXrsdnHU8QfQ0qln0eRYDpQONwSOj/AmNcYPvdHKlMwwDp1sxWy14+2poF9nQSLANfOSiQv3pryuB5lUgkYtx2YXLxkV39VnJCHCm9RYPzevsgtJi/PjYGnrRb+ZjLhwH2xWZyVmdnKQS9ySSSVY7Q6sNgeHT7VR2zLAg6uymZgWwsEhs+Pn1xTx23smIwrfPvNZtVI24jnf4RCZkRPB+l1n2XKok0AfNasXp9LSqSMqWItqKBlPAOyICMC4CG9+eWsBIs5Y+SumxbGnpBm73cHkzDA8lDJ+8uI+12dUN/Vzw8IUPthe6XYsXTc/mfK6Hjfx5xynqrs5cbaLtDh/PNVyVwx9XesAEkFgQkoQ4xMD+O1bR1kxJ8nN9PnQyVYevyWfmuZ+ZFIJsWHeo56jwSmYLJkahyCAl6fCza/qQvafaObOqzJcok1eSjBPvn54xOe+92U5v75zEh4qOSeqGlziT3y4NzdfnsoL64pYvTiVn79ycFhVsNZDTl5qMOGBnkQGe1JV30dBWghenkpyU6QE+KixOxz4ealGrVCMC/d2Ca3bjtRz3fxk3hyhYuiupZn4ealwiCJ1rQM0tA2QFufP5dNisdrs9A6a6R004+ulHDEIItBXTWKULz94ZicJET5cvzCFddsqWDgphqtmSCk924VaKWN6djh2u8gTrx5y/Vbjon25c2kGx063cdnkWPy9VCiVowtAWYkB1DT3ER3q5RTfxxjje8632gPo+4rd4eCdLeUE+arJTgj4X2/OGP8Cnmo5WQkBbDvWiO5rWl7G+P5itos8+fqRYf4h9W2DvL7pFOJFZTgSUWR8nB+/uDWfFx6awWOr8wnxUfL/w3BCIRW4b8X4YZVAEonALZensWZrGfevzCbYzzkZ+P3b58WfmFAvZuVGEh2iZe22cpYMiaAqpZQDpc0smhzLzJwIl3eBSiHlyulxxIR6sauwkTl5IxuoLyiIJjRAg7+3isZOPYLgjJi/2LPiQtq6DIQEeABO/4OeATN2h0hYgCdeGgWXT41F66HAITqrhlSK80L7tfOTWb/rLPtLWlyTEoPJada8t6iJR67Loayuhz+8cxxfrYr8tFBiw7zw0Z5fedx2pN5pfj3C6mqQrxpPtZx9Jc38/JYCCtJCCPbzIDMhgEdvnEBsmBd/eOc4A3oLH26vZE5+FPcuH09ipA/Bfh7MynW2O3zwVSV9OjPRoV7I/10j8DFciILAxr01PP32MWd7Q7eBPcXNPPXGEa6cEU90iJbLp8VxoKQFpVzC1KyRvfmWTI3jk11nOXCyFemQybjNIbL50PlKmDl5kazZWs6V0+No6dTz4kcnKK9zfuag3sLB0lbWbK1Ab3JOyh0OkQOlLazbVsny2UmA03BapZAyMzcCjVqOZChq+q8flpCREMjza4t45r1CPtlZhVolG7W6z0MlI8jX2WIZFaKlIC2E+1dmY7E6eOa94y7xJ8BHRVyYD79/5zg2u4N+nZlQf82o+zMswJOXPznBz2/JZ/nsREKHfEBuvzKdR2+cgKdaRmFFO1qNgszEAD7fX8stl6chEeDOpZk0tA3y2zeP8smus3ywvZIfvrAXq82B5hLVtWEBntjsTuP5kRIBfTyd7Z8LJ8UQF+5NiL8HCyZG89PVeZjMVvaXNvP7d46zYGK0q4r3sskx7LigkqO9x0Bj+yBz8iJdf+vTmensM6L8Fo5DlUzCNfOS3P4WHaJlalY4P3lxPwdPttLeY+BUTTd/WluETCYhOdp3xLgru92BlCF/IVHE31POypnxXDc3CZVCypD9kBuf76/hvhVZyKTn913OuCB2XcI/av+JZtq6DWQlBbl5VJXX9TA9O4J+vQWT2U73BWlt4PRZW7/7LNctSCYpyger3T7URj0yCpkEu8PBnAlRKC6R8NrVZ8JLo2DpzARUCin9OvOIaWDg9Kzp6TdxtqmPB6/J5tGbJvD4Lfksn5PInqJm2nsMOBwiD6zMJtDnfOtzcrQvP7lxAn989zi/f+cYP3vpAFKZhNZuPT/+y17uf2YXJrMVjUrO1bMSRvzscTG+aDUKVs51/t7Hy9pp7zXy6I0TyEpypn3ljgviZzfn09w5yIDezI//so8X1hWzfnc1H2yvpLPXiCg6q94BXvqklGvnJ7NqfjKRwVrCAjRcMzeJ+1dk8eJHJxBFZ7XVs+8Xct3CFN7YdIrYMG98PJV09hnp6jPykxf3uQl15fW9/Orvh5mZG0ltaz9Pv3OM4gqncfzFeKhk3LwkDX8fFZ4q+aj7fYwxvk+MlY58C9lxvImGdh3Xz0sa62X9FlKQGsyJ6m6+PFzPilEuwmN8v+keMI3aHnSsrJ2bF6eiushg03lj7fQo8fSQ02sefRX8P0F0iKRE+vDcg9NZv/ssrV16IoO0zMiJYOvhOo6VdaA32Xj8lgIMJpvLG+GOqzJo6dJxprYHL42COXlRhPpraO3S09lroiAtlD++e5yZuRH8+IYJiEBYgIaPd1axaZ/T8PLe5ePx0ij48lAdeqMVjdpp3BwT6kV7t4Hn1hTSP1T50NVnIiZUO6rPRESQJzEhWlbNT+Z0TRe9g2be31LGZZNjOFjailQikBDpg0TiNBX90XW5bDtSj0wqEBboOeqq8Gf7a8lICOAXtxawq7CJysZeDCYrsWFe5IwL4o3PTiOKzjahvcXN/Oj6XD74qpLG9kEkQ+1rl02J5c/riukZMFFW18Mvbyugo89AoI8HDtHBb9885vo8hwh/+aCEWy9PZWpWODKpQGVDH0++fgSb3YFMKjAjOxzbKElxY/zzGCx2Ph/BZNRqc/DBV5U8fG0Oz60pYnJmGHKJwM2XpRLs68Hmg3UYzTa8PRUsmRqHQi7l452tlFZ1MjEtBLkAIqLL5NtryONDxOll9eTrR9w+b9aESF76eLgROziT/5bPSeRH1+VgMNsoruikq9/IPcsyXa1ZEcFadh1v5PYrMkAQ8dYo0WoU/PbuKRRVdPDV0XrXOAK4emYC3f1GIoI8mTo+jE/3VJM7LogvD9W6mZ3Py49mw+6zAJRUdqJUSLlmXhIvrBue7DM+MYBgfw+mjA/jxNkuCtJDSIryobFdR4ifmsqGXiKChlq+RJGZ2RFYbA6aO3X8/t6pNLQPcqD0vImzRiVDo5bz+b5qLp8WxwdfDfcROWcI/ds3j7JiTiK/uWsSf//0FLUtAwgCZCUFctX0eHoHzdS19nP/yiwkgoBDdNDebeCjHVVUD/mMbDlcz/yCaJRyKb5eKjbtc2/9qajvJX6yu4Fxe4+BuOBvX1qrw+5gakYoaoWUtducovIV0+N5Z/OZEQ11126rcBriKyRfO9kWRVwVGYFaJTZgWla4W9VjYXkHNrvIz2/Np1/nFOo1ajkr5ybRrzOzs7CR0os8iqw257nvwIlm8lJD2DfUahbgo2b97rPMzInAUy0nyNdj2DaVVnXR2Wvk9ivSmZIZRkSQdpjf1DmmjA/HYnWQMy4QncFCaqzfiNcGhUzCoMHKzJxwxicEIJFe+t5dKhU4dqadY2fO+40tnhJLV7+R8EBPjp5p53RNN6vmJxMW4PSfOnKmjefWFLnaG/t1Fp57v5Cfrs7DS6OkT2fmo51nmZQZNiSiZrB+VxVdfSYUMgnTsiNYOiOeAb3z/7+5axJfHamnor4HhUzgzqsysNnt9A5a0ButFKSF8sRrh9wqw+YXRLPuq0ruuiqdhZNi+HB7JXqjlaffPsa4GF9m5kSgkEvISgriged2uR0fBpONs429/OnhGfzx3ULONvWxfHYim4bsLi5mQG/h6Jk2Vs5JItBXTU+fidyUYDISAthxrIF+nYWUWD8mpARz9FQbJquNORPUKBWS/2pb/BhjfBsZE4C+ZXT2GVm/t4bsxADCAkZfWRvjm4tGJWdCciDbjzcxd0Kk00dkjDGGkEiES/pTiKLTk0El/f93+hYEAQRnVYJcKsFxcRuZKGKx2JBLpWQnBdHZa+Dpt466PDHO1PbQ0WtAb7ShUki5b2WWS9A4x/ajDdy8OJWkKF8igzQoFDKC/TzYfrTB5YsQH+7NTYtT0RutFFV08PInpVy7IJmnfzCFjh4DBrMNo8mG3e7g/S3lbpPWk2c7WTojns0H64bFpANcOSOeAYOV09VdFKSF4KGU0dFjIDLYi7NNznL342UdTBsfxp7iZirqe1g8JZZDJ1vp7DUOe79zGM029EYbf1pXxOQMp5lvZ5+RAZ2ZQF8Pbr08zRW1e6C0hbrWAa6aGU9ipA8SQaCsrps/vnsMg8lGTnIQ181PRm+yUlLZRV1rP/mpIdy7fDyvbTxJW7cBjUrGlTPi8VDLUektqBUy8lKCqW7qY0Bv4Y6r0hEEvnbCMcalkUolnB4lZh3gbFOfa2X+yhlxOOwOZBKB8YmBxIZ7I5NIMFls7DjW6DIH15tsmCx25EopCqmEGdkRVDf1IwggiiJhARpqWwaGfZZMIsFgGj1NUmewsLe42a2dck9RMzOyw1k8NZYYBJo7dHw0FHv90Y4qiis7EEXIiPfnh9fm8N6WcgYNFq6akUDPgImthxv4yQ0TaOrQYTDZ8PRQUF7X6/a5EUGefDhk4Lq7qImf3ZxPUXk7P7o+h092nqWudQAPlYyFk2KYnhXOj17Yw2VTYpmQEkxdywASiUB0qJb2bgN5qcF0DxiYMyGKdV9VMCM7gi8P1pIa58+AwcKWQ04T5/BAT66dn4xDFOkdMBHiryHUX8OAzsK+kiaC/TToTVZEEe6+OpPXN53C7hBZ91Ulh0618sNrcxEEGDRYKSpvZ9uRevy9VWQlBdHcoWNXYSMmi53spEBWzU/m5U9K6RkwUd3Ux8o5iby3pZySEY4LH60SD5WMGdnh7Cl2ig9Rwdpv7cRTIopMyQghPy0Ug8mK1eZwq8i4EIdDpLlTR0qEN+K/UG5htzvbxW5YmIzBaHUzW+/XmfH3UuHvpeJ0bQ8/e+kAvYNmvDQKFk6KYdr4cF765IRLKMhLCab0bBcyqYSIoPOiW2KkD7/+x2HGJwSwaHIMepOViCBPl+fQOVq79Jyu6WLh5Bh0eis3LBzHe1vK3Z4TGqDh6pnxrNlWwYDOTHq8PyvnJvGntUVu16JzYssXB2q5Zm4ST75+mEdvynO1M15MbJiXa3sCfdR4aRR09BqYPSGSmqY+fLxUdPeb+GxfDX/9sIT0eH+SonxZv+vsiPv18/21zJoQyYbdZ/H3VrF+11munT+O4+VtXL9gHCqlDIVMitZDjiCIaD2UhAZqaOnSMycvigAfNUdPt9HVZ8RosjJgsOCtUWAw2Ya1W4YFaKhp7mfd9kquXzCO7n4Tu4434BChvK6X7j4Tj940gZcv+K0u5HRNDxNSgjnb1AdAZLDniMle5yir7SEuzJvoYC+qGvrYuKeaaePDuOPKDIoq2iks7+DX+2vITQnGS6OgqUPH+Hh/DIb/PwtkY4zxbWFMAPoWIYoi72wpR6WUMW0s9v1bTf64YErOdrHpQC2rF477X2/OGN8gHA6RsMDRV4k9VDKUchn9JhtKhQyVTPivtnqJgoDe6mBAZ8ZosaFWyvD3UqGQnv8cQRAY0FvZVdg46vtYbQ68NApm5kby5cG6Ef0G3vriDL+8fSKt3QY+3lnJz27O48tDdewpasJicxAeqMFPq+KWJWmsXpyKwWRld2ETP/nrPlfyjFQi8OwD06locJ+MOkT4aGcVv7i1gL9+WELnUKm/Ri3nuvnJFJa1ozNayUoMJDLEC1+tEolEoLiigwUF0Ww9Us9XR+p55Ppc7KLIht1nWTozgR8sH39JE1eJ4Fy9NVvsrhYFqURgxZxEHvnLPqaMD+P5h6azt7iJngEzOclBhPh78Ie3j9M7aGJGTgQ/vSkPBAGVQorF5qD0bBc+WiXLU5I4WNrChj3VzmqT9wt5+Noc3t9S7rphBufk8+e35NM3aOaD7ZXcsCgFbw/5P/Pzj3EJZJJLt+8E+Xrwy9sKkOMMexJFp+/Js0PJNRq1nEWTYrhyRhw2m4iIs5IBhwObzcHEtBC+OFBLe4+BgKHWDukIwp1KKR1KBhx53Ht6KIaNB4A9xc3ML4hGq1Hw149KeOLWAp5977hbq+nJ6m4qG/t45r5pnK7rZsuhOupaB5iYHoJcJuGNz05zz9WZVDf34e+tcvP1GNBb8PNW0dlrxGyx8+d1xdxxVTpms41r5iXh46nEUy2npqWfxg4dZquDDbur2bC7Gi+NArtDRG+0khDhg6+Xkr99dILf3D2ZtDh/Pj9Qy5UzEpDLJHhrlAwaLIQGaLj9ynT+/EGxm2ieFuvHfSuzmZ4dTlldD35eKqJDvVi/q8ptol/fOsgXB2qYmRvJ9qP1zMiOIGdcEP06CzuPN3LgxPkKo9M13QT7efDAyiyefOMIfl4qBg3WEcUfQYDJGaG89MkJFk2Koby+13ke9Vb9S4LINw2HXSTA14PeXgd9XyNkKWTSf/u7Sh0id1+Vzs2LU+nTmfH0kOOhlKGQCnx5pIF1F1R3nWuDnZcfxYKJMWw5VEewnwcJkT6s+6qSZbMSXGPhlstT2VXYhEN0mjKPTwigcSjO/ZUNJ13XrLYuPRkJAUzKDOP5NUXUtQxwy5I0fnvPZA6caGXQYCEvNRgPlYyfv3qQfp2FiCBPPFRyXttwkoevzaGtW8/pGuexl5UUyNbD9ZRUdnLz4lQQBNZuq+De5Vk8t6bQLXnP21PB7Vem88nOKn52cz49Aya6+oyMi/bFYLLy6b4aegZM/PiGCS5PvBB/DV29BjITAzBb7FQ19LrdEtS3DbBwYhSP3ZTHgN5MR6+Rpo5BpmSGYTLbsQ4t8Jyq7iIqxIsXPypxW+SICPLk8ZvzeeGDIi6fGsffPi4lwEfNbUvShv12OqMVPy8VxRWdqBUyls1OZMHEaPp1ZrQeTkPtTftrRq2gDfBWYXeIPH5LPna7SGiAB5dNjmHDnuoRz3fB/h60dOn52wUVkadruvHzUvHgqmze/PwMDhGSIn05eqYNiUQgO3HMOmOMMcYEoG8Rh0+3c7qul+Uz4lBeotd4jG8+SoWUiakh7ClpZt6EyLFqrjHc8FTJyEoMpKRq+OTiqhnxvPXFGY6cdt7MTB0fxo0LU5CK/4UWH0Fg0GTjg+2VHDnVikN0JnDNzYti8ZRYtEopdrvDWZ0QOPIxG+CjYvnsRAK8nRPYqePDeOK1Q6N+ZFVjL6H+Gqoa+3nspQP86LocZuZEYLLYGTRY0Jks4ICfvnxgxNfbHSLWUVJqqhp6EUWRa+Yl4aVRIopOU9oth+ooPduFRCJw5fR4fvPGEX50fS6r5ifz3pflPHhNNqlxfrT3GFCrZCyZGseK2UmuygyFXDqqiWZeaggnLvrdFkyMZtvhekwWGykxfuwtaqa5U49cLuGTnVWEB3ly+5XpPPt+IVsP1xMVrMXTQ0Hp2U52HHMX2VbMSWRGdgRfHa3nqbsns+Yi8Qec0d2/ffMot1yeRlVjH14ecsT/D35Q3yfsdgcpsX5Dx8DwxzMS/PHWyMHucD0uihDsp8bbU4EgCDx8bQ4f76hytZOolTJWzUtmSkYIElFEIYHf3DmJnYWNFJV3MC0rnJgQL9dnyqQS7l+Zhc3uYFJGCAdOtA7bDh9PJXa7OGqFUEVDLwN6C+lx/pyp7RnmMwZgttjZtL8Gk9nmEnimZ0fwxcFaWrv0yGUSiio6mZcf5dZiOWiwcNX0eP7+6SkAegZM/OGd44QHehIb5sXSmQn88M97sNqcEzyNWo5+yAvvwkqCkAAPIoO0yGQSOnoMxEf4EBPqxamabswWO9PGh5GZEEBanD9//bDETfyRSSUsm53Is+8fp7rpfCy0XCbhwWuy6R00c6r6vHHwiaouFk6KYVdhE0fPtPGbu6ZgszvcxJ9ztPcYOF7Wzm/unIRSIUWrVpA7LshtH0gkAvctH09Hj4FT1d3ojVauXziOpEhfZBLgO+I/66GSERmspXHI/+lC5DIJ4YGaS7Z/CQIgkWCxiQiCM83SZHVaRSulAg67A7VMQO2jcr5AFDFaRT4Zpcplx7EGfnnHJJRyKVlJgfzlg2I0KhmTMkKRSASWzUpkd1GTq7UsPtybXUPpelmJAdx5VQbldT20deuZXxCNn1ZF74DJVeX28ielyGUSMuIDSIrywcdTgUwq4d7lWeiNVj7dW01ksJauPiPPvlfIQ9fm4HB0U9vSz2f7ql2CjN3hYFZuJDuONfDJzqqhqrpBuvpNhAZoCPRWYzLZWD4nid+8fsStvSo80JOfrs6jtUuPSiHh0Zsm8OJHJUxMcwYPlFR2olHLWTUvmb3FTa4FiPQ4f/x91Dz1xlE378kgXzX3rcjiT+uK6B0wc/fVmby24eSwCtemDh1//aiE+1dm89oGZ8Jnd7+R0BHuW3cVNrJwUjRrtlZw8GQrh0+3kZ0UyL3Lx3Oqups/f1DC0hnxox4X8ydG88X+WnYVNeFwiMikEubkRfLDa3N4fm2RmwgkESAvJYQth+uGvU/PgIl9xU4/vve3VhAf4c37W8tJi/MfM4EeYwzGBKBvDUazjQ92VjEuyudr0zrG+HaQnRhAcVUnH+ys4uGVWf/rzRnjG4REFLlvRSYf7zzLjuONrpXJpTMTEARc6TMOh8je4mZ0Bis/uDrDlSj072ID/rHplNsEyWpz8OWhOkREVsxOdFW/qBVSpmeHs7f4fIxvWICGO6/K4I3PTtPQPuisznlw+qiVCgA2m0j90CRzUG/hV38/jI9WSVSwFqPZRnOnjqfunnzJ7VYopCOW02vUclq69Ly64eSIr3M4RPr1ZpKjfREdDvJTQ4gI0rK3qJHrF6ZwqrqbdV9V4nCIrJybRKi/Bxv2VCM6RB67aQK/e/uY2+QzMdKHJdPi+M0b5z1bAn3VzJ8YzfPvFzE9K5zq5n42X1TS3tiho19nYeXcJL48WEtcuDdNHbph4g/ARzuq+OnqPP76YQnLZiVy9MzISUa9g2YkUoHESB8EAYQxv7j/CEEq4VRlOytmJ/HhDnd/GY1Kxm1L0pGIIhfLsAqJwK9un0hzp55XPimltfu8MbnRbOPNz0+jVkgpSA3CbnMgAxYVRGG2ifTpzYgOkVXzklm7rYLVi1PYXdjI6ZpufnvPFDp7TW7Jcj6eSh6/JZ/XN418vAMo5FKaOnTkp4awv7R51OeV1fawaHI0+0+0MCElGI1KRmqsH+lxAdjsDtLj/NF6KLhx0Tje31KOj1ZFZJAWvck67LzQ2WvgpstSWPdVBVab81xQ29JPWIBmWNwzwIzsCGw2Bw+uykYulfCLVw8hlQgkRvkgl0r5felxnritgPZuwzARdlpWOPtKmt3EH3Cex/78QTGP3ZTndn7TqOV0DCU3JUf5UdXY67ZPL2ZPcRNx4d5s3FvNqnnJzqjzORbK63rQqOUkRflw+FQba7dVDH3PAYJ81azfU8U1c5IQ+G4IsXJB5IGVWXxxoIYJKSFIpc62wq2H67luQbLT7NrhGFEEkskEdBaRNV+c4eiZNhRyKbMmRJKTHMRLH58gLzWYK6fHo5Tgdu0YNFhHbOeFoeJUEZo7Btm0r5qUGD9uXZLG1sN11Lfp+GRnlUuE8VTLUcilTMsK55NdVXT0Gimu6GBcjD+BvmoG9Bb6B81o1O5TJKvNgb+3Ci9PJX94t9AlXvp5qbjtijSKKzr4+a0FPP32MUxmG2dqu93SLwGKyzspSAvGUy1n25F6fvPGEWblRpCdHMSareW0dRv4+S35/O7No8NS15o7dbz+2SmiQ7zYfKCWu5dm8Mf7p/PMu8dd3lQAH++s4ubLU5mVG8GuwiaWzU7kt28eHRY80tFrZM22chZNimHN1goCfFQ0d7q3wp3jTG0PeqOV6VlhTMsOx8/LKcxd2OJ47nnz8qOZnhXO3pJmHA6RwvIO9EYrm/bV0Nqlx2i2sWhSDFsO17mOD5lU4AfLxnOquosdx89f92x2B1sP12O3O3j0xgm8uuEkPQMm5DIJd1yZTn3rgKsa+GL2Fjcze0IUj940gfq2QRQyCTOywzGPkGA6xhjfN8YEoG8Jnx+sw2ixMys7/H+9KWP8l5BJJcwYH8anB+o4VdNNepz//3qTxvgGIXGIXDMnkatmxDsNLWUSXttwcsSY9KKKDowWOxr5f5YwozNa3SZHF7L9aCNLpsahHmpJERwiNy1KISLIk0/31qA3Wrn1ijT+tO68/4HdIXKiqpPkKN8RW1IAUmL9KLzA6wGcFSznhJVgPw8cDshNDuJ0bfewmz1frRIPpYxbl6Txp7XuZrODBoub/8PFKIcqee64Mp3Khj6OldWxaFIsNy1OY8uhOr4a8iKamO5cRf7zByWu19a19fPDa3MY0FvoGTAR7OdBv85MR4+eh1fluFZILVY7cqkErUbB5Mwwnnu/cMRtKavr4fqF40i9PheNSjbiquY5DpS2kDsuCKvVfsnuP4PRykOrsjlV3UV4bgTmS/jGjHFprHYHr286zWVTYnnspjz2lTTTpzOTFOXL+MQAjp5p47KCKCwXHZ8Oh4ifRs6gQeEm/lzImq8qGJ8YgHxIozsnBPlpVewraSYy2JM/3j+NQb2F1yud/lFbDtexfHYCINDWrcdHq0QiCBwobSE0QEt5fd+InxUb6kW/zkx8pDel1V0jPgdAq5GTGOnDnx6egUIuob51gK+ONNDVb6JfZ+YXtxUgiM62t+cemoHeaOX9LeVU1PewdGYCv7x9Ik0dg6iVMrw9lZgtNjdjez8vFXcvzeSFdUU0DrVlKeVSbrwshbK6HjLi/Nl8sJZAH6dJr90huqoxJIKzImukiPn8tGCee79oxO9ktTlo69ET7OdB+5Dos3hKLD0DZqZmhWGx2BFF0RW7PRJ2hwgCNLQN8sd3j3Pz5akE+ajZU9yExeqgtVtPfmowK+YkojdaOV7WTmefkT2FzSyblch3pRHTKoJDFNGone2EZoudxEgffnhdDv7eKroHzcikEuQyCSq5FCkiImCxizS062nvNjAnPwp/HzWb9lXz2b4aiis6WL04lWffL+TYmXZ+d89kZFJnZZDDIaL4muubQi5hXkE0CyfHEhXsiVQQsNpEN0HPz0vFfSvGc+xMG5Mzw/jB8vF09Bpp7NAhAqmx/pys7qJv0EJWUiBP3FbA65tO09ypw0ujYEJKME+/fcztc3sGTPxpbRG/uWsy7d0GHlqVjSjC47fk88d3j7t5JdW1D1CQHsKZ2h7uWzEeqUSCRCIgiqLT000tQy6XjJoSW1LZyWWTY9m4p5qjZe3UtQ+6xB+NWo6/l4o+nZm3Pne2V0cGeTpTxUaJfC+v62X57ETkMskwweliRBGiQrzYeqSevcXN2B0iv793CmEBnmza77wHCPRRYzBZmZsfxRXT46lt6UciEZDLnWlpAG9+fobLpsTyy9sm0tSpG6oY88TfS8k9f9w14mfvLGxiRk4kj9yQi95oRRBg84E6ls5KYNBoYc4EZ+JeQ/sgWw7V0d1vwiGK9OnM/O3jE9x+ZTq/umOSM5nsYk/DMcb4HjImAH0L6Ndb2F7YxITkQLQeiv/15ozxXyQp0ofIIE/WbK/iydt83WJOxxhDtDtQCM4b216DdUTx5xy9g2Y0fupRH/86BAG6+5w3iUlRvhSkOVd1T1d3U1jejs3uwGC2ob7AS0bicLBgQiQzssJBgJqWgWFVOLuON3LX1Zk88erBYROr3HFBNLQNkJUcOGK6UnK0L3ctzaChbZDscUHMnxhN94CJdzeXYTTbUCqkPLY6j3VfVaBWyvnp6jzWbqugrnWAAB8VS2ckoFTISIjwGdYmBbBwUjRdfSZUCileGjlKuYzHXz7Ak3dN4suDda7nzZ4Q6RJuwgI0XL9wHEqF1PU5Qb5q3vjstGtSqZRLuXNpBh4qOXqTjWNn2lk0KWbIwHv0m8/ufiPvbi5zGlSPYA56jj6dmQUToxEEAbVSNuqNe2y4Nx/tdFYefB86wCRSCRa7A6kgIJPwXzbcFRAEgY17qvFQ1VOQFkpcmDfVzX1s3HOWyy5KfHJ7pSBQ19I/6uN9g2asdgfyiyLCJQ4Hs3PCMVmdAvC5JCOAg6Wt5KeG8Oz7x/HRKtEbrRhMNmRSCU/cVsDRM22uCoVzxIR6YbLYSYvzx2C0MT0rnKOnR64gWzI1jr9+eIJgPw9uXZKGUi4jLy0EvcFKdKgX9S0DpMb58+cPSrh8SgxZyUHUtQ7gEOGTXWfZsKcafy8VcpkEH62SpChfrp6ZwB/eOY5UIuDnpeKvH5Vw19WZ2O0OBgwWlHIZWw/XkZ0cxNuby4gK0dI/QhqiWimjsUOHv/fI5zvbJSZ4JrPd6bsETEgJxt9LxbtflhEd6sX8/GikUgl+Xmq3FKoLKUgLcUucWru1gucfmk596wDxET786vaJHDrZSlF5Bz5aJXdclYHe4Jyw2mwO1Erptz6RTyIR6Og2uBLUzlHV2Mcbm05z97JMXt90mrK6HhQyZ0vetKxwpy/UB8VuvlGzciO45+pMXvqklKYOHTqjldAAZzrkkTPtdPTo+Wx/LaIID6zMIjpES33b8LazIF81zZ06TlR1snBSDOu2VbBgYgzTs8OZkRNB36AZD5XzXGkw2/BQyXn541J+sjqPP7xzjCmZYSjlMjdx50RVJ14aBU/cVsBzawrJSwnhy0N1I+4Tm13kyOk2WjoHOXqmA62HnMggLasXpxLg49w2X62Kstoefv7qIZbNSkCpkDKgtxAVrEU1FIKQnxpMV9/IYg04RRiFXEqgj5rrFozj0Rf346tVsnpxKlKpQGuXnkAfD5QKKR29eubkR1LVMPq5B5zCqNXmwFM9+vxCJnV60j3zXqFbldDpmh66+gz86cHpWO0OzFY7CpkUi83Oyx+foE9nwWy18/jNeUzLCncdL5sP1PLlwVr8vVXY7CLXL0jGfolx6xjyB3vmveP84lbn7zE3PwpfTyUllZ2s3VZBXJg3ceHe3L8iiw+2V+KjVVJa1Ulzp47WLj3eGgX+PsrvjAg7xhj/CWMC0LeArUcbkAgCeeOC/tebMsZ/GUEQmJMTwdtby/nqeCOLCqL/15s0xjcUleLSp2vtf2jyK4rg563k0RudST97ipqw2hzkpgTxxO0TeWV9KR7K4dtgtzuQCyCXS6kdYZJb3+aMN//5rQVsPlhHWW03Wg9nDLy/t4q/fljCvPwobr48lbc+P4NaKWPxlFhyxgVit8PPXjrgVvWTHO3Lr++YxOmabvLSgnl1fSknq7sJDdCQEuPHjJwIVvl7EBqg4aWPS1mztZxHbpjApn3VFFc4BTSZVMJlk6OZkxfFix8Wc/nUeI6VtbOvpJlbl6TR3W/CfIFPgCiKmK12gv08uPOqDF5YV+xWzRDi78G9y8fz7PuFDOgtBPqqiQ/35um3j2I02xmfGMikjFB6B01ILuHZrZTL6NNZqGsdJDnGl86SkVN2shIDMRitdGLg6lkJvH9ROg1AepwfFosNi8WOh0r2nfYAEiQCeoudDdurOFndhbenkqtnJpAY4f0ft0WeQy4VmJYdzvajDRhMNpcBepCvmtuuSCc11o+OfuckUyVzT85zOESC/Uf3eVMppMhHEf/tNgdKmQSzXSQ/NZjMhAA6egx8urea8voerpgW5+aLYrM7OHK6ld/ePZlP99ZQWN6OUi5lzoRIZuRGsHZbBaH+GvJSg6lq7GXxlNhhKTszssMJG5qEB/l60NSh49n3C93ab7KTAxkX44fd4aCwvJO5+dEE+qhpGPKEUcqlrJybhFopo7KhFx+tkoggLTOywxmfFMgXB2qpax3gidcO8Ytb83n901P0DYme18xL5h+fnsIhiszNi+LgSXevI7VSRmyoFwgC6XH+nKo5X7U4oLe4VfhczLgYp5nu6stSaGzX8dSbR7HZHVQ397O3uIlnH5iOVALp8f7DqiG9NApm5Ua6tXiarXZ0RisPrspG66Hgt28ddTP1LSzv4Mrp8dx2RTr9ejMKmYpvu4Oj2SbS1W8allAnkQjccFkKj798wCU0rpybxI5jDfzq74fw9lSyaFLMUDXdKUQRdhU2ERmsJTHSh6rGPkoqnRWjrV16DpxoISnKx9Um9N6Wch64Jst5/r2gtcpTLefRm/LQqJ1if7/OTEiAhjXbyokP92H97rOolTIsVjtz8qIAkW1HGlhQEMX2I/WYzDYmZ4bx638cHvZdB/QW1myt4Cc3TqCmaYCDJ4d7Q52jpqWf8ABnxemgwcqZuh7O1PXwp4dnDBmQn68AfOOz0wgC5CQHEzVfy5qt5c6AgVE8xs6h9ZDjrVFw38osOnoMyKQCD12bM6y91MdTyWOr8zhT00tE8CWqYBVSJIKz9PDUUCLmkRFE4QUTYxAR6ep3vyb1DZrJSwtl65F6Pj9Qi9liRyoRmJYVzoq5yTz73nHnoocgkJUUyFdHGlzbKYrQ1WciMlhLRkIgLaO0n51DLpNgd4h8uq+a390zBavdwU9e3MeElGB+edtEyht6MZqsGExW7lnmFJZ/+pLTO7CkqpOYUC+C/DwI8VGN+QCN8b1nTAD6hmO22tlb0kJmvP/XTgDH+HYS5KsmJzGQT/fXUpAS7OqtHmOMC1EpJGQnBY5YBRQZrMVTLb/0neM/gdZDwSvrT7r5cny+v5YDJ1p4bHUeHgoZon3kGye73UFUsNeIj23aV0NKtD8B3iruW5FFsJ8H+08088FXDYyL8WNcjB8RQZ785UczcThE3vriDMnRvjz7vntCCkBFfS9bj9Q5/Q2ON3JyaJI2MyeCDXvOUt3UT3ZSIBFBWlfb2R/fPc7CSTEsnhKL1eZApZBhtdn53ZtHuWco1WtfSTMKmYQQf42z5U4qcVUSSIb8c1bMSeSlT064iT8Abd0G3t9azqp5yfTpzKTH+VPb0s+SafEo5VIigjzZerieqVlhPHnXZAYNFlQKGcfL2vnyUJ1TIPDzQG+yYrM72F/SzM9uyefIqbZhnhdeGgWxYd48934hBrON25akccOicWzYdRa9yea8+c4OZ/aESHoGzaycm4Td4UAUv5seQBKJQLfewmN/O+DaVx29Rv7w7nHm50exck7ivyQCyWQSRARnxcaFIqDdwfJZCRSVd7jaKWJCvbjpshTe/PwM/xgyPtaoZKxenEpuUiDC0Oc6HCIxIVo0Khn6EdrwFk2ORSWXYB+hMkQUBI5XdPLm56ddr40M1nL31Zm8s7mMcdG+PHFbAY0dOgZ0ZsbF+FHXOsBPXtzP5IxQblg4DolEIGXo7wqZ87hWK2XsKmwiPy2EJ24roLy+F4dDZFyML7XN/bT1GLA7RJZMi+OpN44Ma7cqruhkT0QTOclB1LcOYLbaWT4nkefXFCGVCDxyfS5rtpW7efG888UZHr42h9Yuncs42eEQ+eJAHVOzwvl8f61rH55LOctMCOCJ2wpclQV7S5qZnhWOCDzz7nFuXZKGv7eKA6Ut2Owiu4uauGHhOJ5bM7wNLCHCB4AZORE88dohl4ggkwooFTJiQrWUnu3ivS/LuHdFFnkpwewpbsZktpGdHER+WgivrC8dNiYtFjuBvh7sOtY47HwFsGlfNX/90SzO1HQR5KP+j8/T/2tkMgnldcNTnCakBHPkVCsmix1/bxVLZ8bz1BtH3MZlVWMfs3IjWDYr0WWG/uWhOq6emUBVYx9qpQyzxXmcq5UyzNbz+7pnwMSr60/yw2tzMFpslNX2EOqvwUer5M8fFNPQNkhanD83LBxHSowfCRE+SCQC63efdVVJTkwP4ak3jwIQ6OvBnuJmIoO1I1aInqO4soPLpsSSFO1DaIBm1AqdMH8N3Re0WnmoZOQkB6FVy3l4VS6/eeOI27UjPNCTlXMT2V/aysGTrZyq6eaXd0yktrmf7ORA14LFhSyblQjAgRMt+HkpufGyFNZtqxjWXtqnM/PcmkJuWJjCiaquYV4951gxOxGlXEpipA9HTrdx34os/LxVbD/aMHStlLJgYjRxYd58svMsP7s5n3c3l7n2l9Vm51RNF5v21rje0+5wjsN+nZlr5iUR6KNGKZfSO2DisdV59A2aeG9LOWarndkTIslKDKSirodBo5WYUC+3CrFzpMf7U9XovJ6fPNuNyWrn6Ok2CtJCiA3z5tevH3YbVhnxfty3MsuVoqhWyjCYrJitdoTv5qVwjDH+JcYUhW84R8+0YzTbxmILv+NMzQilorGPtduruPfqjP/15ozxDUQiitxzdSbPvFdI1QU3q2EBGn66Og/5f5gGL5EI1DYPjGjK2jto5lBpK0unx44aYuNwiCRG+rgl+5zjYGkrM3MiSYn1ZeOeanoGTCwoiOaJ26NQyCQMGi3849PTTEwPZVdhIwM6i7MK5xLmjstmJVJ69nwrhrenkq6hqHcvT6Ur9h2cZrsbdp9lw27n/z1UMm67Ip22HgMb95xl5ZwkAPx91DR1DNLYrmNmbgTbhzyA+nVmgvzUeHsq3fwcLqSivpdbl6Tx9hdnOHyqlSmZYWzaW82KOUlYbQ7GJwXywtpiV4WERIBp2RE8dE02a7aVc8+y8bz4UQngFP4/2l7Jr++YxEc7qwj0UaNWypBIYOr4cIwmK3dfnUmwvwdSicCA3sIzD0zHZLYhCAJSCfzitUP06yxct2AcWUmBhPr+++2B32RsIry24dSI5rDbjjaweGosWsXX11xIJAImu8j+Ey2cPNtNsL8H8/Kj0KpkroGlkgo8/YMpHDrpnLCtXpzC79486ibq6E02XvqklF/ckk9CmNbVhqaUCTx51yR+8/pRt0ngpIxQFk+OcRN/pDIJNruIQiahsnmAFy+IOAZobB/kufcL+eF1zkllaVUXj9yQyysbTvLZvhpXm+HuoiYOlLbw+M35/O6tY26tG+cme0+9cYTNB2qJCfNCIgh8tr+Gu5dm8tm+GuLCvTnb2Dei1w442zh+sHw8f//0FC2dOiKDPLlscgz9OjNHz7QNM2J2iPCntUX84raJbpUOFfU9FKSFADA+MRCZVMIV02LJTAjkt28edY1lmVTC1TMTCPbzwO5wMC8/EolEYMnUOC6bHEufztlKNzBo5ic35PL25jLaewzIZRKmjg9nWlYYTR2D+Hiq6Bs0E+SrZuXcJLQeCgYNFmJCvThT14MgCLz9xRkWTopm1bwkgv3UbNpXw6//fmjYOTbAR4VDFNm06ywJkT48cVsBb3x22i1uXhShuKKDCakhyASGGYV/25AKAj5a5bC/R4doKRoS9hZOiuGDrypHHJe7Cpt44rYCZFIBm12ku8+It6fz/fLTgvnLkNfatKxw3v2yzO21rd161mwtZ/7EaMrqejhY2kJHr5H0eH+unB6PyWLjrx8Us2r+OJ5fW8TdV2cyLtqP8nqnYGWxOlzG0kazDU+1HJPFdsm2PFF0LnBUNvSxZEocJ88O98mTSAQK0kN5aqg67Jq5ScSEeXHkVBuvbjzJpIxQfnP3JBrbBmntNhAdqiU80BObzcHWobayAb2Fz/bVkJUUyIKCGEL8NOwqbMRksePn5RTUkqN86R00c/hUKzKphJ/fms9LH5eOuN3+3iqiQrS0dxtIn+nP+KRAXt90Cr3Rho+nkqUz4wkP8sTXS8ny2YlEBnkiSAQunxrLwokxdPUZsVjtlNf1YDDbmDI+DIVM4OFrs/lsXzV7ilvISgrij+8eH/Hzy+p6uHNpBq+uL6XkgrbJ9Hh/7luRxdmmXoorOpiU7qyO3binhoevy+HvG0+6jZ+4cG/uXprJoy/uA5xVUEazjVPVXayYk8STr5+vyIsK1ro8jc429vPL2ydy5FQb2clBFJW3E+ynxmr9to/AMcb4zxkTgL7hHDjZSnSIFh/P4RfbMb47KBVSZmaF8fmhek6c7WJ8wpjgN4Y7ouhMXnn0xlwGjFa6eo34eqnw0SiQX5SW8u8gkQhu6RsXs7ekmcsmRSO7xOqZIIj86LocXl5f6oqSlUgE5udH0TtoIsRfze2Xp2JziMglgjNS3iHy+qbTlNf1cOX0eKqb+okJ9aJvcHQfBKvNgclsIynKxyVYtXbpiAvzpqKhl8QIH0REDp8aHpMNEBfmTWuXc8W0pLKT1ZelAmAwWfH2VPL+lnIeuT4Xg9HKwZOtbNxTzV1XZaA3Xtoks2fAxJnaHm5cNI681BAmpofS2D6I3SHy0scn3EQphwh7iprw91Jxz7JMXvyoxC1+91RNN0qFhMunxLL1SB0N7RZyxwVjtth5ZcP5G+S7lmagVEh58aMSuvpMqJUyFk6K5oGV2Tz99lE+3F5BRrw/UgmMbCv67cZic4xqMA7O1eJpGSGX9JeQSAQGTHZ++vIBN/HyiwO1PHxtDhnRvoiiiMMhIgdmZYcxKzuco+XtI1b0ALy7pZyfr87jXGOXwy7ir1Hwh/um0DNgZlBvITRAg4dCijBkjiqRSTBaHfR0G7BYHXhrFLy3pWzE99ebbDR1DPLANVloPRSYLDZEUcT7IvFz6vgwdhc1DUv3aerQsXZbOc88MI09RU3UtPQT4qfh+gXj+PJQHWdqe8hMCKD3EuNQb7IRHuiJ0WTDy1PJlkP1xIRpWTgphh//dd+Ir3GIUNnQy5XT40mK8kUQQCGTEhLgwS9uK0A9JNbNL4jhR3/e6+ZvZbM7+HBHJRHBGgK8PSiq6OSdzeUIAmQlBrFybiIvry+loW2QJ++cyNUzE/D2VCKKTn+WP757nGfun0ZLl45gPw/uWZbJy5+UurWLjU8M4Pf3TqG+bZB9Jc0UV3SSnRzIVTMSKa/vo/mCialSIeXOqzL5x6bTNLYPcqysHS+Ngh9el8Of1ha5+aGJgN5kxUOrGPrftxeH3c7kjDDWbqtwq7rQG60uYSgySDtia+o5Khv7iAjSUtc6QOzQ+XjhxGhqWwYwmm1MywpDb7KOaF4c7K+hqV1HRX0voQEafnn7RE7XdHOqpgtPtYJVC8aRFOnLA9dk0dGj54Frsth8sJadxxuRXXABO1DawtKZCfx94ymuX+gz6rYmRfnS0DZIc6eO1Fhnutj7QxUs4GxBu39lFl8eqsPuEFk+O5F+vYU/vHNeGDl2pp3QAA33LMvE0NxHiL+Gn710gAdXZbsd47sLm1g+K5G3N59BJpVw38osZBIJepOV5o5BlAoZDe2DiKJIz4DJrRXuQm5clIJEIvCb14/QM2BCo5KxaHIszz84g45eAw7Rec386kgDx8racThEfnxDLl8crOWyybEo5VJ+++ZRLpscQ3yED0Vl7cyfFMO+khaqm/sJ9lXzw+ty8NIoRvXcumJaPK9tOOkm/gCcqu7mH5tOcvNlaYCAwWQjJsybPp2ZF9YWsWp+Mj6eSvp0Zvy8VBhMNkqqOl3n2tkTIqlp6iM9LoCTFxjZx4Z5cf3Ccbz40Qm3/TJ1fBieajnTsyM4UdVFfnIQNttYC9gY32/GBKBvMD0DJiqb+rlsYtT/elPG+D8gJdqXU7U9vLu1guQon7GWvzGGIYogQcRHJcM3zAtRdGbfOv4bC1qCgEw6urojkwrwNaXTg3obf//0FNfMTcLbU+kqIT98qo1X1pfyi1sL8A6RIRFFV2WEwWLn5NlufDyVdPc7b/bbewxEhYzcThboo2bZ7AQcosjU8eHMyYvizc9Os/N4Iz+6PhdBEPh0TzWXT40dsRoJYMm0OF5e71w1FUXnqnCAj4quPpMrInjN1nIeuCabeQVRGM12PJRygvw8Rv3ucpkEuUxKoK+alBh/Nu2rYWZOBG1dOhKjfN0m5Rey+WAtBekhbuIPwJXT49lX3MzGC0rry+t68dIoePLOSXT2GlHIJdS2DrjF3DurnappbNexfE4S67ZVMGiwIIqj+0B8mxEE4ZK+GbJLKZZD2ET460clw44VUYS/fFDCX340E5PZhlopQy0XsNscKBQyVyrVSDS0DeAALnT2OScgBXspCfFWOcfv0IZL5QIdfWZe2VDqqpz5+a35NIxgeHuOupYB4sK9nN4Ydgc5yUH4eanw0SpdZuh5qSH8feMpVs1PJj7c2zlZE2HH8UaOl7VzsLQFk8nKvcvH896X5fzmgnavpg4dcyZEsvkCQ/QLiQ5xTuB/ujoPvdGCt6eC8EAtbd36Uav3AMwWO6EBHvz1wxKnmbvc2WZy+dRYPt9XzdJZiRw82TaiuXlUiJaoEC8ee3G/yxtMFJ1tOpWNvfz6jon8fMhw/twYB6fId+/y8XywvYJr5iZz7YJk/vbRiWHjMj0+gI17qt3aZcrqethyqJ6n7p7MoZOtNLQNkBDpQ0SQlnXbKmhsP/8bDegtfLSjigUFMXy4o9L19+zkIIorOpiSEfJ1p9FvBRqFhAevyebPHxS7xt6B0hbuXppJYXnH17bZyIZa/ACumZdEgLeali49J6o6eeymCQT7efCjv4wsIuYmB6H1kLP5YC13X53J82sKXWJb7rggPNVyiio60BktxEf4YrU5mJgaQlKUL4E+aiKDtTS2D9LW7WxznJgeQlVDHzNzIth9kfm3TCphxZxEXllfyqzcSHYXNXHLklT+/MOZdPYZMJrtWGx2zjb2cd38ZCKCPJ1ti68dGrbdrV16jpxqI8RfQ1PHIL2DZpo6dIQHeroJtH2DJm5fkk5j5yCHTrYCAhNSgshNCUEmFYgO8WJaVjibD9YhEQQUMolbuEB+Wghmq50Pt58//vQmGx/vrKKrz0BKrD8vfzK8aqiqsY87r8zAS6Pg3S/LiA3zIjbMmw+3V3L7len87s2jLtGror6XvSUt3LU0g8mZoRwsHb7YkpUc6DYGgKEFihjS4vywORx4quUIAvQOmFyx9S9/UopMKsFDJcNitfHwtbm8v6UagLRYf3LHBfP020f52S357Dh2ftHq2vnjeH5NEYaLRPn9J1rw91YzLSuMyoY+pmWGjglAY3zvGZthfoM5WtaBTCqQONS3PsZ3G0EQmJ8XyRuby/l4dzU3zE/+X2/SGN9gxAtmvMKQCbPz7//e+9ltDhZOjBnxRg5gXn4UKpnkkqXyaqWUtm49r244yeVTY8mID8BstTMxPQRfrRKpVKDfaMdLJXXd/J+7WdObrK5KR6PZxqDBQly4NzXN59tIokOcqSrvbC6jrtUpenh7Krjl8jTK63qQSgT++mEJHb1GuvuNPHJ9Lu9tKXNNqP29VVy3YByHT7W5Vgh9tEq6+408euMEBvRWZDKBn9+ST1Onjr99fIKGtgEQnJOVpTMTmJYV7pbGdI7Lp8bi56Xkt3dP5g/vHKe6uZ/MhACiQr1GTK05h8lix2Z38MPrcthyqI72HgNxYd7MzIng4Rf2DHv+gN7Ce1vKCfH3IC3Wn493VI34vsfL2rlscgwSiYCXRonkOxowqJRJyEoa2S8DICM+4JLVPwAmq33E1kdwVp2crunm/S3l6IwW5uZHcd38cUglEB06skgJEOynueREX7xooOrNIj9/9aCbcNLa5Ywsb+kaOT4+JFBDflooP3/loJuQoVHL+eG1Obyz+QwB3moeujabD76qYN22CsA5CbtqRjzJ0b4M6i1Ehjr9PWbmRKD1UHD0TBtSicCU8WEkR/sS6q8ZMcJ+5dwk3ttSTmuXnqQoX5ZMi8VqsxMaoBk2di9kXIwvL350wiXwmK12Nu2roXfQxPULx2G1OUZMTUuP9+eGhSlsPlDrZgzv2odGK0dPt3PvsvHIZVIeWpVNVWMfPp5KEiN9+OJALcfK2pmVG4Wvp2qY+KNWykatXOkZMLFxz1lC/J0pgLUt/SOaBgOcrunmyunxrv8vmRaHwWQlIsgThyh+602gAUSHSGasHy8+Mot9J1oY1FsYF+OLj1bJkmlxVDT0kpkY4JaYdiHxET58cbCWR67PJT7MG4kgEuLrT0KEN82dOvp0Fp65fxpf7K9lZ+H5Sf7E9BCiQrV4quQ8eedkNu496xJ/JqQEMykjlN++edStbTEpype7r87g0JlW3v7iDA+vyuH5tUX0DJj4x8aTrJqfTFy4D7kpwYxPDODz/bX0682Mi/Zjbn4UH++oonfQTEZCAPER3vQOWHhvSwW3Xp6Kl0bAZLYR4ueBXCbFS+McP6Ox83gjD6zMwjBUTbr1cD3XzE3i+bVOzyovjQK5XMpfPiqhvtWZtAfw4kcn0ButXDM3ifkTo5mWFc7hU20gwKLJMXx6wULBrNwI/ryueMTP313UzNz8kcNGgnw9hlK2JqKQS1k4KYaPdlRy+dQ43vuyzC0Y4Rz/+PQUT941adh9g0wqDDv/adRyfnx9Lpv21bBxz1lE0WkWv3hqLLMnRGI020iO9mP70Qb6dCbGRfuxbFYije0DTMoIJTclGC8PBQhw/8pszGY72UmBbD/aQKCvmp4B0zDx5xxfHa1nyvhQxkX7jnkAjTEGYwLQN5qiyg5iQrxQyr8Ltwtj/DP4eCqZkRXGjsImshMDSYv1+19v0hjfcByCQGe/ie3HGrBY7czOjSROIvmXV5lFUSTU34NJ6SEcOuV+AxsR5MnMnIivjS9WySVMGR/K9KxIdhxrYOOeapcglZkYwOTMMH7zxhGeumsS8qEN1KidlyGrzcGgweKabL79xRkeuT6X3UVNHBwyeL1lSRrPvHvcre2mX2fhhXXF/PL2iZgsdpdHT33bIH/9sITFU2K588oMjGYbPYMmNh+oczP8XDE7EaPZxrGydjbursbmELl5cSrZyUGoFDI8VLKhVf1KNu2t5tkHp+OjVfLVkXpMFjueajlXTI/DV6vihy/sZWJ6CI/eOIEtR+rResjx91KPeON8DrVShs5g5a3PzzArN4LJmWE4HCKHT48sxAEUlbfzkxvzEBHRjVDhdI62HgNh/hq8PRUI39G7XkF0cPuSdB5r3M+gwX1f3LBoHCqZ5GtV0a9rnzRb7chkApMywihICx1aSTeyYm4ScplkRJ+Ta+YloZAK/1QUvVQmYfv+umFVMzuONXLZlFiXwfSFyGUScscF8fyaomFCht5o5W8fn+CJ2woAePb9EjfvKqPZxtptFdy6JI3klGAAXllfytbDdeSMC2bxlFgcosixM+1MSg/lgWuy2LSvhiOnWnGIEOznwY2LUvDzUrFgYjQHS1txOEQGdBZiQrwpq+3i5sWp/PLvh4bt+tgwL3QGKwN6Cxez/0QLV81IoKqxl/Ag94o1qURg+exETtd0caZ2uAHxOU5UdTI3P4o7n94+lDzmSZnJxvtbz4s6rd161CMkGqbG+lFc2THqe+8pbuZXt0/kk11VxIf7jPo8AKlUIDspkFkTImnt0lNe18P4hABkEgni1wiS3xpEEY1cwpwJkXx5sI6/bzzFgN7CqnlJTB4fxpTMMH752qFh56gbF6UQ5Kvm9/dMQTVUvSZIBHp0Fv74XqGr6k0mFbhiejxP3zuF0qou4iO86e4z0q9zVllNGz8kggyxeEosv3njyLDxXNnQy7YjDSybGY9cKmXj3rM8fG0OGrUMu11EJpVgttroGzQxLsYXlULGoMFKVWMvT7/ljIV/9MYJSAWICvbkmfeKuOOqdErPdvH+lnKXGBnoq+bRG/PYcrhu1F1msdoJD/Kko9e5QLH9aD2hAR7ct2I8H2yvRBRFRNEpIgIcvSiR67P9NczMjcBLo+C390ymZ8BMiL+Ga+Ym8cWBWnRGKxJBGFEgPUdHr4EQfw+MZhv9OgteGgUatXworl7PxzsrWTAxhu5+Ex29RoL9PEZdxLA7RAb1VjIT/Cm9wBtpenaEK13sHNcvHMc7X5a5CcNmq531u84ik0qYkxfB5gN1TEgNxlMtx2q1M6h3fj+pVMJfPyimT+dshb58SgzBARqMJhsRQZ6olTI6ekdO/gPnQpNMIiE11g+zeaz6Z4wxxgSgbygDegvVzQMsyB9r//q+kZMYQHVzP3//7DS/ujV/zP/pe4B0KAL66yoVLsYuCKz9qoKdx8+Xre8raSE11o8fXpvDv1r0IRVFbl2SxvyCaDYfrMNsszM7J4LUWH9k/BPOFQ6Rmxen8cam08OiZEurunh1QykLJ8VwsrqbvORA7HYHarnUlW62dlsFD67KdplA/v7tY0zPieCJ2ybi56WipLJjVM+VddsqWDoz3u1vPQMm3v2yDJlU4OFrc2jr0tPa5Sy1Dw1w3jRLpQJmi52Nu6sJDdRw3fxx7Ctp5o3PTrveJ8hXzT3LxrNmSxlt3XpC/T14/qHp9OssGEw2alv68fSQs3y2M9lmUnoos3IjMFnsGMxW7HZx1GjqyybHcLK6i54BkyvOOznKl7R4/0vtZsDZnnAptGo51y1MRvLd1H4Ap7ajUUh49v5pHDjZSnFFJ75eSi6fEou/VulK4roUKoV01N9HECAi0JPYMG9SY/148oK0mQG9hR9dl8NLn5S6BA2JRGDpjHgy4v3/6fFss4uuCd+F1LUOYLc7uHpmAhv3VrsmtloPOfcsG4/FYh/V/6hnwETPgIlBg2VU4/KNe6p5bPUEegec1XAO0Vk5drys3fUcuUxCr85MmL+GR2/KwyGKDOottHTp0Jus7C1uJi81mCmZoegMVu5/bhcAU7PC+NnqfNZsK6e2ZQClXMqMnAiumB7Ho6P4A4ki9OvN9OnMJET44KGSuVb0J6QEc/hkK2qVDG9PpZtJ7IV4aZweO55qOX2D5hE9Uvy8lCMKQIIgDKvMuhCHQ8THU0lBWiieHvJRnxcR5EmIn4YZORG8t7mMjj4jT945CQ+19Lsj/gzhcIjIBJHFk6OZmxeJ3SGikktRSAUkanjuwekcKG2hqKIDPy/VsHF5boyYHfCLVw/Re8HvZbOLrN91FrXCObnfuKean67O4/fvHMNgsjFtfLjr94oJ9eJsU9+oYu7uwkbm5UcxKSOUxjYNcpmE1zed4nSNs3J00lBiXlOnDrVKhtXuYF5+FHPyIhk0WDlY2sKiybGcqOrGaLbR2Wvk9U2n3T6js9fIH949xr3Lx7sCBC4mNyWYrYfr+eJALd6eCn50fS4SiQSth4LrFozDSyOn82uEjL5BM2u2VpAS68fEtBBe3XCS7ORA7lyagVwmIcDn0ob/of4arp6ZgJ+XioggT/p0ZoShFvC5+VGcPNvFzNxIfLTKS7aFn8NksXHNvGRuWCShuVOPQibBV6ukuVNH7rggCss7UMgk+HupRq0K/GxfDamxfvh5qchODqKn38Tp2m7++nEJWg8Fty5Jp3Mofe3wqVZOVHXyh/um8pvXj3DfyvEUlnUQGawddRv9vFQoFVKkUmEsAn6MMRgTgL6xnBhKt4kPH73EfIzvJoIgcNnEaN7ZWsFfPynl0etykMm+o/0b33NEQcBgsXOmsgupRCAl1g+VTPJPTVoFQaCtx+Am/pzjTG0Px8vbmZwa/LVVOxcjFUVigz25d1nGkOeQ8yb9n20ts1jsHBrFfPlMbQ/LZyeyr6SZianBzpVfUeQHyzJ5ZcNJCss7+PO6YlbMSXQmpNgdaDUKJILA5/ur0V3ChLmudQAfrWrEx2x2kVc3OD2IIoK0yOUSdAYrPYMmEsK8aTLo+fGNEzCZbZTX97D/RIvb6zt6jbywrogf3zCBXYVNLJkay09fOuBm8gpw1Yx4Lpscw/bjDdwTNZ6n3zrMzYtT8faU8+hNE3jxoxOuG2CJRGD2hEimZ4fz05cOuL1PbUs/18xLYv2QIHQxmYkBVDb2IuBMTTpRNbz9yVMtJybUi70lzSRG+vzHJuHfZBwOEbkAc3LCmZkdjlQAh91xycn8hSilEu65OpMnXz88LOVpfkE0x8vbWTQpht+9ddRtHJyq6cZosfHQqmw81XLMQ/HXXf1GjpW1kxbrj1ohHTWGXiqVYLI5MJpt3LQ4haOn29l2pN7N++bNz8/w/EPTSY/3R2ewopBLsdkdrN91luWzEy/5vSSCcMn2w54BEw4H+HmPPG7ObeOz7xWO6Mdz/cJxZCcFkh4XQE3zAJ/vr0UqEShICyEp0pcBvZlHrs+loX2QqGAt676qpKPHMKqIC+ChlJMU6cs7m8t45PpcXtt4krZuA6EBGsrre+juN7FqXvKIghnAgonRyGUSnritgJ4BM1a7na+ONLgSA5OjfQkL8ERvtBIf7k31BRPS8roe7lmWybYjI0/ep2SG0tTh9I6Ji/BmwcRoth6ud3uORCJww8IUWrt0HC9v5+5lmazZWk6wnwcKiYDjOyYAgVO4E0QRlVQAqQA4Pd7sdpDz9eNSIhFoaht0E38u5PMDNdxyeRpWm4M9xU0uUfBMbTc5yU6B4Vyl5miYLHYEwG6HhChfHvnzPpd5sd0h0t5joKlTxwtri90qlnLHBXHLkjTS4/wZ0JmJCtHy4DXZ6I1W0uL8hx2Hnb1GlHIpqbF+wyrVVAopi6fE8vu3nVVF/ToLv33jKI/eNIF3Npdx19IM/vZxCfcsGz/q95AIuESeD7dXEhHkia9WSXFFp6sN9voF40iO9qWifrg47Kt1Jln260zER/hw9Ew7B0pbsNtF8tOCWVAQTUacP3WtA+SmBDEtK5yeARNhAZoRW1ElAsSGe/O7N48yoDfzzAPTeezF/YT4a5icGcqiyTEANLQPXrJCx2i2YTLbefPzM3y6t4aHrs3GS6Pg9isyqGsdoKPHwK/vmMjGvdUUV3RiNNv4bH8N6fH+fHW0gfQ4fxIjfAj0VQ/z0wO4ckY8epMVQZAj/S6viIwxxj/JmAD0DeVEdRdhARo0qtFXmcb47uKplrN0Whzrdlbx4vqTPHTN6DcEY3w7cQgCm/bXsmnf+d59QYAbFo5jRlb4qJPGc0ikEr44UDvq418cqCM3Kejf8ptwOERXmcm/ulamN9kuKRbpTVaiQrQ4LnCulooiP1iagdHqwGiy4qGSo1RI2XK4lo17avjl7ZOIDPaiq3/0RKJAXzXengpXtPDFXD41jq2H69l+zD3p7K8/msmn+2ooLO/gxzfksuVQ/bDXgvNmvU9nJiXGjzVby4eJP+CsqHjitgI81XI+2F7hTF9Ry1iztZLOPiNXzYjnugXJ2GwiapUMrYecivreYb4FFpsDpULKjOxwNzNacLaMXT0jgefXFmG3O/jJTXl09BjcPFpUCik/uXECL31ygjuvysTuEL8Xq57notT/1W9qtzuICtTwx/unsXZbBVWNffh7q1gwMQaL1c6mfdWEBXqOeFxVN/Xz5OtHePWx2RSWd/DERW1PCydGs3xWwrDx7BAE9p1o4YPtlRhMNgQBcpKDePTGCTy3ptCtnU0iEXhhXTHmIb+oc/4mguBMohrNcDnE3wOd0XvU761RyVAqpK5EstaLJngRQZ6crukeUfwBZwz87++dytmmPmJCvXCIDn55+0QOlLbw+f4alAoZP472Zd22Cu5ZNp59Jc3EhHqRFOVL5QiVS+GBnijkUk5WdxEe6MlrG0+ydGYCEUGeeKjk9OnMlNf1ojdamT0hkp0XpRZeOT2eyGAtf15X7Eoe0nrIuXpWIklRvlQ19HL3skx+++ZRegfNLj+S4sqOITN4Oxq1nPzUkGE+LloPOXPyotEZLMjlUt787DQ/ui6XqGAtXx1toGfARGKkD4unxLLlcD15KcFU1PXS1K7jp6vzkEu/m+LPP8PXjUuJRKCudXShsl9nQaWQkRTly8Y950XxHccb+fENuZTV9dDcqWPBxJhR3yM6RItKKaN3UMfnBxqHJVetmJPEc+8XDTvWC8s7iA/3JmdcMO9tKeNUtVPw8dIoWDEnkYQIHz7dW+32mi2H6rn76kyKKzrYcqgeg9lKVmIgc/KieGdzmdtnmK12alsGUCmkvPXFGa6cHo+Pp9KVgnUxE1JD2F3UxNTxYRw40cxn+2q4ZUkaL6wtconXn+2v4UfX5/LihyXu3mAqGfetyOJ0TRdz8qL5ywfFbhWEZ5v62F3YxE9vzmf97iokEoEZ2RF8eaiOGxel8Oz7hW7eSgBLZyawt7iZJVPj+MemU2zcfZZr5iXx+qbTXDs/mZfXn2BmTiRLpsUNawm7EJlUQDIkzPQOmpBKBI6XtXPiAg8pmVTCD5ZnIpNIOFbWTmFZB3dfncHB0lZKKjsJ9FVz/4os1m6roKzOKb6plTKumBaHzeagb9CMQipFpRqz1RhjjDEB6BuIze7gdG0v+SlB/+tNGeN/SKi/B1dPi+OTvTX88b0inrhj0v96k8b4LyGRCNS0DrqJP+BcSX33y3LS4vwJ9lJeUkgRRfGSSTsmi81pOPp/vNjloZJdMpVJo5ITn+o9rDJJEEU8ZAIengrAubKYHh9IYqQfH+6o5IaF44gMsbNpb/Wwm1CAZbMS2HKojp/cOIHn3i9y890pSAthUnrosEjt9Dh/jp5po7Dc6fshkQijTnYB2nv0FKSG8tLHJaM+p6K+l/y0EB77234igjxp6za4DIbf+vyM23NvWZJKXJgXMqnEbUIyPTscH08lV89KIDspiC1H6hjUW0mL82NqVjhvf3HGtdr9p7VF/Or2ifTrzFQ29hHgrcLPW01lYy/Xzh/H0TOtTMoIw0sl+5dbDL9XiCL+Gjn3Xp2B1S4ikQi8/tkZDp9qJcTf45JjTa2UMaC38trG4V49Ww7Xk5kYQFqUj8sPSCqVcORMG29ecDyIonOy2dln5KbLUvnbxycQBFgxOwkfjZKrZ8bz1hfux++uwkaumBbHRyMYgU/PCnf59VzYSnUh8wqiKapoJz/V6Vv11JtH6Oo7L7ImRfq4xZ5fTO+gma5+I8+8V8jqxSncfmUGT7911E28euWTE9x5VQZmqx0vjYJP91bzo+tzeWV9qZvgFOCj4o6r0ukdMPHR9kpuvSKNyRmhbNpfg85gZfmsBJZMjWN3YRNvfn6aq2cm8MRtBZTX9yIRnMlHggBnarrdYqcHDVan8e+12SyYGM3+E82u9rE/vHucBROjuWxKDDabs01TEGBiRgjjEwPYXdSE0WxjfGIgBWkhvLqh9HwFY3oo9W0D7DjewLSscLQechrbdTy3pgi90YrWw1mBd6ysna4+I0G+6u+E+fP/DxwOkajg0VMKtR5yzFY7FqsdtVIOOI9RvdHpnfbYTXkcLG1BLhWICtGOmJy3bHYiv3njCI/eOIGTZ92Nqc8ZCI927o+L8OGZ9467UirB2f75+qbT3LdivCtV7ByRIZ68/EkpDlFk0eQYMhMC+Gx/DU+9ccQtrescHb0Ggv01HCxtIeaKdDYfrOXRmybw9NvH3Kqa4sK9WTQphj+8cwyj2c6ElGAOnmzl8KlWnnlgOh/vrKK+dYBgfw9sNgcPXZvtrGzq0BEZrCXAW8W6bRXccVUG5fU9I7aPtnTp2V/STHZSIFaryDPvF3L7Fen4+6h4+gdT2HywlsqGPgJ81MzNj6KpXceHOyr52c35AGw/1shzD0zj13dOYv+JZh68Jpu12yr4eGcVD1+bg7+3ym0/nmNKZhjHhkTXnOQgjp52F3/AOTd68aMTPHFrAcfK2lErZYT4aejsNTAlKxyL1cGf15Vw2eQYls1OwGYTERHZebyRY2faufvqTGJCvPgnmtnHGOM7z5gA9A2ksrEPs9VOXNhY+9f3negQLdfMTmDDvhoeen43P1iaQUzI6H3OY3w7cADrd4/c3gPw2b5a7rgiFfES7VsCTqGguHLk9KNJ6aGo5BLX6uv/FWq5lILUEA6fHp6Ekhzli7+3Cg+55Gtbkhx2B8G+Hvzu7aPcdFkKoigS7KvmJzdO4IV1xa6bdYkAS6bFY7OLfLq3huqmfh65IZe+QTM6o5XxiQH06yys31PNwkmxHDl93t9kRk6Emzms1epA6yEfZiZ8jvgwHyQSYVib0IXYHSJqpQy7QyQrKdDNpPRidhxrxHtmAj9dnYfRbKO73+iaTBw53cYH2ytZPCWWa+YmoxzaZ79/57irRUEiwLy8KMrre1i7rYLUGH/kUgk9A2ZqmvpZu7WCzMQA8tNCEL8T4dP/fxFF5z9ywTm+bl6cQkuXjuYOHdGXOO/OzY/ky0N1oz6+flc1STfmujy5TDYHa7dVjvjchrZBQvw9eOT6HOLCvFHJJTisNqZmhtHUoXOrYDtT28PKOUl4quVs3FNN76AZjUrG5dPiiAzSYrM7eOuL0zx+Sz7PvFvoVlEwOSOU+Ahvnl9TRFZiEDuONfDojXl09Bpo7zEMiSECAyNUIZwj2M+DxnanmNI7aGbX8cZhY+dMbS9d/SaaOwdZMSeR1zed5oW1RdywKAV/bxV1LQP4+6gQHfDSxydIjw9gUmYY+0+0kJ0UREZ8AGqljGPl7chlzla91zed4pNdZ/l0bzVx4d4snhJL/6CZzw/WEhc2csXTmq0V/PiGXHYXnm+ZNZptbNxTzcY9zgqO9Hh/Vl+Wyl8+KCEiyJPJGWEo5BIqGnr51d8P4RChu9+E2WLH21OJzS7S3KHn3S/Lhn2ep1rh8pQqq+shLjQa4yUM27/POBwiUSFavDSKEdu4Fk2OZVdhIzqDlZk5EW77u651gF//4zD5aSEE+XnwyPW5bNpbw+6iJmx2BxFBnqyYk0RJZSetXXocooinh8LtOPXSKOjqG9knK9BXzYDOPKJoAbB+11k3o3aFTEJ+agj7ipupbxukor6XR2+aQEV974jiD0BUiBaDycbB0hYcokhlQx+psf7cu3y8M7xgwERYgNOr59n3jmOy2OnqMxIaoAHgYGkry2YmoPVQcOX0eBKjfPhoRxWHTrbio1WSnxpMcrQPv3vzGDnJQfQNmkdMsjzHgVJnvLvNLmIy23jjs1PcfkU6W4/Ukxzly5y8KAb0Zt787LSrbe/Ctj67CB09egrSQjGYbVw5PY4bF6WgkEn4xW0F/PbNo25tWpmJAUzNCucP7xwHnAbSr20YHlMPzmOloqGX+AhvJqaFYjBbuWZeMlqNgs5eA1abg3VfjXxujQjyRCoVnBs4xhjfc8YEoG8gJ852o/WQE/Q1Rm5jfD8ID9Bwy6JxfHawnqfeOc7SabEsKoh2lcuO8e3D5hBH9TsApzeH3XHpKbvd7iAt1n/E3nyth5zLJsf8n4s/ADgc3HZFGla7w1VZA5AS48tDq3JQSsHxT96AqeUCj96Yx3tbyogM0jIhNZjoEE+evHMSfTozOoMFH60KD5WMR1/cDzh9WU7VdOOjVRLgrUarlvHS+pNO3waTlbuWZrjK8D3VcrcJ7s7CRhZPiR3xBjLYz4N+vQWVQkpanB+na0ZOIpqcEUpFfQ/ZSf9cBWdnn5EX1hUzOTOU6dnh/P7tY8RH+JAU5YPZ4kxIOecFlB7nz/0rs7DY7ChkUhRyKeEBHry68RT9OguHTrUO81+KD/dBLpUgjK16/kuIoohSIvCLm/MZMFoRRZiTF8mOi1oIBQFm50by5hdnRnkn6NOZcDhElxm3xea4pF9Jc4eOKenBWK0OVyumRBS5dm4SS2cm0NqtR+uhwNtTyb6SJkqrurhhUQoBPmp8PZXY7HY+3VtDsJ8Hp2t6sNsd3HpFGjKpBL3RSoCPmtM13bywthhRhFPVXXT2GWloH2TdtnJkUil9OjNGs42frs7D21MxYsvjldPj2XbE2TIZHeLlZpx+Ie9tKWP1ZalUNfZx/8osNuw+y18/LGFBQRRBfh688kmpyxdoX0kzj9+Sz5FTbTS0D7Kn6Lxg091nYvGUWH584wQMJhsOh4iXRsGuwkb2n2hh9WWpo0Zwt/cYRjR+vhABAbvDKQI3dTgrGy4mLFCDj1ZBa5eeyZmhoyb8jU90Vn2A04D2X/Vi+76hkkp46q5JPP32cVc7q0QicNnkGOblReGtUVBc2UlKjB8Z8f6crD7vvWN3iHioZJyo6mLdVxU8fG02UzLDMFlt9PSb+GhHpavqy2C0MTcvyk1E6ugxEDWKgXCov4a6toFRt7ulS4//kIeWr1bJ3Vdn8vYXZ7jtinSOnmlj+9EGqpv7WTknkefXDo9m91TLCfbzwGJ1IAjOasKkKF8qG/vo7DFQXt+Dp1pBz6DJrQoxLtyb6qE0yyBfNVKphH0lzWwbSp+cmx/NT1fnAdDQNoDeaCM+3JuwQE/aL+HFcw6Dycb2Yw3ceVUGr2woRatRUF7fO2ICX6CP2rUooRmqNP3bxyMLOKEBGn62Oh+d0YLeaEMhl1DT3M+z7xW6qmAVcsklfcL6Bs2kxvpTkB7Cuq8qCAv0JCHMi4RIXy6fGjtiRWR4oCf+3ipne/XYrfMYY4wJQN80RFGkuKqTuDCv72xs7xj/Ol4aBXdcmc7mAzWs31NDaXU3ty1OIcjX43+9aWP8GyikEtLi/Id5bpxjfGIAMokwYqvThcgF+NUdE9k25G1jtdmZMj6M5bOTUMucFS3/C6SiyA+uzsBosaMzWtGo5KgVUqSIOP4FgxaHXUQjF7jzinSsDocz3tZqp7VLj83hoKq+D5lcwsyciGGv7Rs0Y7M5kEidlTN/WltEerw/S2c4Y4UH9RZ8PJUkRp03yyyp7CQ/LYQrp8fx5cE614ptcpQv964Yz3PvF9Kvt/Cz1Xn8/JWDw1Z0p2WFU17fi7+3kiumx/HO5jPMzYvmZHXXsO0DZ5VW0ZBIdrC0FYvVwe9+MIXTNd0E+3nw6V73FsFz4lZcuBfzC2L4aEclP1g2npVzkyiu6BhWmaRWypicGYYgETBd4oZ6jJERRREp4Kt2tjVeOy+J1Fg/Ptl5lp4BE0lRvty4aBz+WgXZSYGUVo38O6fG+iOXnY//lsskKGSSUSsCgnw9sNmGj31BFFFLBZLDvfDx0dDbq2debgQzsiIQETFbHfzspQNY7Q4eXJmNze4gPtwbo9nOn9YWIZNKUMilGExWtxZNmVSCt0ZJfesAkcFeFFWcF26d7VM5vPX5GepanRNhtVLGqnlJ6IwWl6m5wyEiHyWVrrPXiKeHnLK6HgrL25lfEE2Qrwc6o4WYUC++OFDnmvBZbQ5eWFvMIzfk0tVndBOAKhp6WT4n0VV5IAi4WttC/TVkJwfy9uaRhTiNSkZnn4Hp2REjVuwAzMqNYPuxRpZMi2PN1ophj8eGeTGgs7BgYgw9A0Y8VHJSYvxcfiPnWL04lf0nWnA4RBQyCeNi/L4XHlz/CXa7Ay+VjCfvmIjOZMVsteOtUaCUScDhYFpGCFMzQpEI8MCKLNqHjg2FXMrkzFDqWgZ4b0sZiZE+BPl68Oz7hbR1Dxc6LDY7gb5qspMDXabJgwYrDlEccTGlX2dmYkboqNvtpVEQFqDh6XunYDTZaOvSU1jeQUllJ7MnRPLU3ZPx0iiobRngxkUpfLyzylW9GhWs5ZYlaby3+QxLZycyJTOMfSXNTB0fxrPvF/LQqmwKy9uHVdWplTLGJwawcc9ZJALcsCiFvkEzt12RxosfnWDQYGXDBRXGdy3NYO22Cq6YFkdVYy/Vzf3MzYuiZJTq4Vm5kWw9UkdReSdKuZTf3TOFngETK2Yn8sF2d1FUIsCNi1LYMOTNtHpxKmeHhKmR6O4z0tylY+3Wch67KY93vizj2Jl2t+d09hqJCfVynW8uJmdcEFHBWpo7B5mXF4XZakchl9I3aCY/NQSrzcEXB2qxDp1fU2P9uHfIG+jGheNG708fY4zvEYL4z8ZkjPFPYbc76OkZeVL3z9DcpecX/zjCshlxxI9SyvzfQioV0GrVDA4aXd4E3wW+i9/rwu9U1zrIl0fq0ZtsXDElhvl5kchl3053AZlMgq+vcyJzboU0MPA/a3H7T8fg/xUGm8jDL+xx3aScw0Ml4/kHp6P4F/RfqUyC2eZM6lIrpPj6eLjt0+8SoiBQXNXFhzsqGZ8YwPyCGM429fHloboRvR9+cWsBv3/n2LD9DDArJ4J5BdE8/soBt3vCaVnhzMqNQOuhQG+yUtXYR2FZO6vmJbNmWwVymcBdSzP5dE81pdVdeGkUXDEtDg+lnL9vOsmiiTFEBjtNR0VR5J3NZS4foHNEBHnywMosl5Akk0qYlRvBhJRg1EopWo2S594vHDHu+qFV2Xy8s4pFk2JIivKhvL6XAB81b3522hX5HRfuzQ+WZQLgr1Ug/ovnwu/LOPxXkQ2NNYcIcqmAIDqFIosIj/xln1uCEDjNTf/00Aw08vPiiEQq4cNdZ9l8sG7Y+3uq5Tz34DQuFf8w0nkTwCrCQy/sxWh2mko//YMpdPebqGzoo7F90E3YuZCn7p6M2eIUiX54XQ5PvXnUrUXT31vF8tmJpMT4YTDZUCul1LYM0NKl55NdVYgi5KUGE+TrMaox/WOr8xBwpgHtK27GbLWTnxrMlMwwbA6RI6faOFbWhkwqYWpWOLGhXsjlEl76+ISbL5G3p4IHVmZT29LPzuONiMCkjFAmpoeiVkp55C/7RvRrunJ6PE0dg9x+ZTq/ffPosHGVFOXLD6/L4b5ndnHDonEYTc6UIYPJhkRwfr+rZyXS02/E21NJZWMfgT4exIZ50Ttg4sTZLmRSgcRIX3YXNbGnqAmlXMpPbppAXIj234p//0/HIPx3x+Fox93/AkEQkCqknDjbxdbDdeSlhJCdFMSxsjY6+4xYrI5hJuHgTImTCAKhARqC/Tw4U9uNQi4lIz4Ab08l72w+Q1GF0xRc6yHnqhkJZCUG8thL+0e8hly3IJnZuZH0Dpp5e/MZJqaF0qcz88WBWoxm57EzOTOMK6fHs+6rCubmRwFO0bW928Cn+6pJjwsgOcYXrVrO82uKWDI1joL0EPYWN5MS68f7W8pd7YSxYV7cfHkam/ZWI5VKWDgxmprmfiZlhLK7qInUGD8+3VdDc6eO8EBPFk+Jxc9Lxa7jjehNVmblRtDRa8RLo2T97irK69x9gMICNDx60wQ6+4zYbCIymYCHSs4X+2uYPzEGs8XZNtnZayQ+3JvFU2PZX9JCR6+Bq2YmcPhkKznj/h975x0exXX27Xtmtq96712AkAQSAkSvtrFxwca9dztxEid2kjfNcXo+J3ESx4kTJ3HvvRdsMKb3IoQQQkKo967VauvMfH+MtLBIcuKEJNie+7q4gN2d2XPOzpnzzO88JY5fPL5r3N/tjFlplBYkaJW4VJXwMAuH63pZv6eJoWEvhTkxXLw0l+ZOB798YveY4xNj7PzfNSU8/k4lB2u7g9bthCgr37+xlO5+F5Ik4vH6sVuNhNlMNHY4GHR6WTDqWfkpOBXzUEfndEMXgE4x/+5i+/bWOt7Z3sDXVhdimGA37VTxeRRK4PPZr5P75PXJbDnYxr7qLiJCzVwwP5N5BQn/8WvmVPNFFoAEUaBnyMtfXz8YEAcKsqO5bVUhYVbpnw6TOpnTyUj/jyEIeGSVspouTAaRvMwoegc9/PyxnbhPePgTBPjudbMYGPLwl9fKg4xFi0niJ7fOZd+RDrJTInny3UpauoYCCWWvPGsKsqLQ2Tus5froGiItPpSs5HDcXj+oKqEhZpwuHzsr2tle0UZuaiRJMXYGnV7yMyOJibAjSQKSKHCorocPdjSgKCpLZ6aSnRzOx3uaKJ4ch6pqc9xslLCYJA7X9zKnMAGfX+WlddVsPdCKrGhJai9dnsvRpn58foWLl+XQM+Dm2Q+qcHtkLliYRVyUDbNRIsxuQpIEDAIo/8J18EWZh6cKURRweGQeebOCAyNJZrOTw7n9okJiw8yoJ7lnKaLIQ68cCMrhFR5i4kc3zyHKbvzEHFkTzXFBFKhuGeRXT+1GUWHZzFRKpsShqioRoRZ+/fSeMaFn154zhaykcEwmiUPHeqhp7GfZzFReWHuEhnZHoDrZtefk0dk3zJDLh8+vsKOijdgIK/MKk2hoH8RgECmZHM9PHt0xxrNxaUkKC6Yn8+wHVUzNiGRRcSour4+GNgfxUTZUVQufCQ8xISsqW8pbeHndUSJCTXzjihm8uamWvYc7UFRNOL1lVQFp8SF4fQpur8yw28+HOxvo6ndx5ZmT+H9P7cF5ghA3a2o8i2ek0N3vYmFRIl6fyt6qTjbua0YUBZaWpBIeYgJVxWY1cd+Tu5maGcWymalIokiY3URspBWXx0fPgBtBEFizvYGOXifpCWGcvzCLuEgrXp9MbcsgDe2DxEfZyE4Ox2qS4F9Mvq4LQP8YSRJx+bXrwGaWUBHYcbCN3PRIfvrIjqD1ALTr7Ke3zeXjfc1s3NtEfLQdgyRQmBPDshmpCIDbJ+PzK4iSwGNvH8LrUzh3fiZ/erksKJn6oqJkVsxN5/kPj3DbqgIsJgNHGvuoax1gWm4sYXYTqgoHarqwW400tA2OEX1jI6zce8sc3txYy/q9TWQkhvGl1dMIsRrw+hSGhr3YbSb8fgVBEOgddJEQZcPh8uF0+TAZJMJCTOw63M7iohSaO4ewmQ1EhlkY9vipbeojKtyKySjS1uUkNy2SUJuRdbuayEoOY8jlY93uRmRZZUlJCrmpkfz8sZ2B+8TsEeHz/mf30N3v5rvXzcRsMtDePURnvxuLSSQnJYL4KDvbD7by7AdHuHR5LgNDHj7c2ThOX0txe/wMezRvqemTYunqc2E1GxAEgfYeJ29sPMrtF06ja8DFU+8epq3HiSgKzC1I4KoVeVQ19JKVHE5Th4M12+vx+hQWFSdTMiWOP79aTr/Dw8KipEDlwOJJsby6voavXlqEqPxvhFgdndMNXQA6xfw7i62qqtzzyE4iQ8ycNy/j1DZsHD6PQgl8Pvs1UZ96Bt1sKW/jSFM/ESEmzpyZysLpSYRYP2n/+PThiywAgfbQ6FfB41cQALNBRCQ4oeKn5XQ00v9TCAaRXYc7eWndERYVp7CoKJkdFe0cru8lMcbOOfMyCDEbaegYxGSU2Li/hc7eYfIyo5g3LQmrScTpkulzuAmxGrGYDRgkEatZQlDBJysMDvuwGEUMRonWLie7KtqIibBSkheP1WzAYBDweBW2HGih4lgP0WEW5k9P4kBNF5GhFhZMT6K1y4lBgvjoEAaGPGw/2EZWcjgRIWbe317P4LCXksnxpMTZeeztSianR7JyXgY+WUFRVOwWo5Z8WlHpG3QTE2mlrdtJZ+8wk9Ii6R/yYLMY6R1wEx1hwSAKGI0SUaFmlH8x9OSLNA9PFYIgoEDAG89sFDUBbgIxRxEEhtx+WruGCA8xExNuwSwJ/zBB+ifOcVFgyC2zZkc9zZ1DrJyXQWJsiBbyGGpm7+EO9h7pJCrUwrnzM4gKMSOKAofqe6lp7GdOYSIuj58wuwmjQUISBVS0aoKVdb1kJoUz7PHj8vjxeGU27W8hPNTE3MJE4qPsGCWRitoeNh9owWKSWDkvk1CbEavJwLDXj9VswOOReXHdEXZWdqCqKsWTYrl4aS7bK9oomhRLekIYXp+MMjKGkijQPaBVafL5FUJsRkKsRmxmiSGXTHOnA5NBIinWjl+WkUSJnkEXfYMeosMt9A95SIjScvcgQL/DiyIrRISaURHwemVUVERB4PUNR5mdn4jXJ+NXFHJTI7GaJVBVVAR2VrTx7rZ6CrKiSYyxk5MSTnyUnb1VHUSHW7FbjESEmQi3mZF9/n/4W34SugD0ryEZtLDfQbfMk+9Wsr+6E0EQmFeYyJVnTaazx0loiBm71YgsKxglcdyCCaIoMOxXWburEbfHx6LiFLw+GafLR3SElfq2QZo7HJxVmo7dpF0jBoOIrGp5iUySgCSJCJKEx+tDUaGtZ5j3t9Ux5PIztzCR4kmxDAx5aesZIj7KTniICUVWkEeu/WGPzLpdjTR1OFhUnEx2cgRrdtTh9shMTo+kMDsGBC0J+0e7G1g2M40wm5mOXifJcSGYjVIglCo1PhRZVnhxXTVzCxNJiQulb9CNzWLEKIn4FJmaxgF2V7ZjNIicWZpOWnwo7d1OPH4Zs8lARIgZi1nE41GQFQUQMBpEvD6Z7gEXbd3DvLmplnPmZZASG8KWAy0MufzMKUwgIzGM97bWkZEYxrzCJCwWCb9fYdjtxyerNHc4sFkMGA0SNouBMLsJVBj2+DEZJWxmCceIMGWxSBgkCVlRUBWoONZNWnwYiqqiqsfDTv2yllspIyEMA+q/FP2lC0A6n0d0AegU8+8stk2dQ/zosV2sXpRFTvJ/NvwLPp9CCXw++/WP+tQ94GL34U4qG/q0HdtJsczOi2dqRiQW0+mb6uuLLgD9J/isGOmnitHwN0UBUYQQqwGD0YjX48M7kmth1Cg3GkT8fgWDQcTnVzAaBFRVQB5ZBv1+BYMooIzs2AuCgCgKgfLpJpMBWVUwGCRQFGRVQEDF75MxGCUUVfPC0MJGBMwmCYMo4PJqD5NGSSLEasDl8WsPBirIqorfr2A0Sri9fu3BwShhNogoqBhETWAyGAQY+bwig9EooCpqoCqZooKqgMerJdaMjfr3rgF9Hv73EEUBVf3nH07+mTkuGUQUFSRB+y0kSUJWVUwGAa9fDbw++p2SJOKRFWRFE6IFETwjiWlNBgmPT9auaeOoSA2qANJIrjKDJOD2aeczGkUkQJZVJFFFUQUkCXzyaPoNFUEQ8PoVVLTKScaR9ppEYSQkUkAZaZxREvGOeL4iCEiClkhbFASMBs3BxmAQ8PlU7TwKmExaGzx+BVFQ8XuVIDHGaJLw+FV8snYei1FEFAQ8Phm/rCJJYJIkZH+wgGo0Srj9CqoAIgImURP4/KqW3H9UyFf+Ra+fE9EFoH8PQQBVEPHK2gaLaSSfkCB8+vkmqyCJII944oiiiKxqid0/qdjCyWMmimAwalUiDaKg5YYaWWdQVS2cVNYEJEkSCLEY8PgV/LKqHTvSMUXR/q8qKgoCqjA6D0VA1Y4XBYyiVtJQVRRUtOOEkVx6giBgEEVUQQ3kHDOOzH1V1vL7qKqKrGpVEY0GAWUkr54gacd6ZSUwLpIooqoqbp/WXqMkYDNr7ZdEAUkS8I2ssX6fHJiPBoMIooAgCnh9Wji02WRAkWX8I+G2PkXRfj+0+e/yagKU1SShKmpgTR+9vxklUROHVBBQ/61nAV0A0vk8cvo+GX4B2bC/BbvFQKZe5lvnUxITbuWcOeksKkqi4lgvh+p72XW4E1EUSI0LISspjKzEMHJTwomNsOoJxnU+N8h+RVvIRqIf/T6F0BAD7uHj1b1GH1a88sl/B59LJLhCmaoGG45eryYoyePkEPCdcDItf5OK7PUjj5zXBCDLOIe0z53omSMAfo/WD4MA+GW8Iw+eowEHvpNyOE/k2GMSR86h85nh3/ESmYjRh9LRy8Y/cj15Rq6bk1OCy/LI9ScCI7vqo3nIVL98/Jr2yZx46Y3+W/Zp17EAyB7l+Ouj339SBXSV4wao6pM1cefE9p7w2dGgtdHLWhk9VlWRvaP9G5lHI3Pb/Q8qrvu8MiKMVAQ63i8RbQ6hMkb8AfD5ZMzjCCEix8frVIg/Ov8+qgqoyvHreOR3+bT73qO/8ejloKoqykg1g0/rX6koBDYmjh8bXBxBQhObUFVcI6GMIoASPC+OH6MGjlOV49ejKh+fOydj1DoCsqyJO6Nv+OVAvcjRq3g0sYDfO9oHGXwwOsWOz3VlTPvdIxPRz/G2n9ymoDBWNOHObjXS1+cNvCcBsvf4mEuMiNsj943RNX30/ubV56COzieiC0CnCUMuH1sPtjErLw7pM5bHRef0wW4xUjo1ntKp8fQ63DS0D9HaPUT50R4+3tcCQFSYmWnZMRTlRJOXHvmZTSCto6Ojo6Ojo6Ojo6Oj88+jC0CnCW9uqUMFinJi/tdN0TmFqLIP1esErwvV5wHZh6qqCKIIkgnBZEOwhIDRjMCp3baPCrUQFWqhOFe7ptxeP81dThraHZTVdLFhfwsmg8jUjCjyM6OYkh5JUrRN9w7S0dHR0dHR0dHR0dH5HKILQKcBB4/1sH5vM0uKk7FbPhvJe3U0VFVBdTtQnX0ow/3g7EcZ7kMd7kd1DaJ6Xf/ciQwmRFskQkgUoj0KISQSwRqBYA1DsNg5FVPVYjKQkxxOTnI4y2Yk0zPo5mjLAHVtDl74qAZZUbGZDWQmhpIWH0pitJ24SCsx4RbCQ0xIou6ZpqOjo6Ojo6Ojo6Oj81lFTwJ9itFig//xkKqqSveAm437mnlxXTVZSeFcuWIykvjf9b6QRHEkk//ngNFLWVURJWEkl8fIn8BbI5lSVRVVVUBVtLhwVQZF1jx25JG//T5Uv1f74/WgeF0oXheqewjZNYQ8PIjicmjnAy2Rn9mOZA1FsIQgWkOQzDYEsw3RaEYwmkGUEAQRVZFRZT+qz43iGUYJnG8QZXgQJUg4EhDNVkSzDcFiP35Osw3BZEU0WRCMZkSDSROSDCYEgxEkA4JkRJAMCJIEgqQFV4+D1yfT1OGgod1Ba5eTzr5h+hzHc6gIAoTbtTK9oTYTYSEmwu1mIsPMRIdZiImwEhVmIXykssanuY4lSQwk2R39/7/DPzsHP8+cPKZfNL7o/Yd/fwz0eXh6o1/j/1v+G+N/KtIBnOp5qF93nx59zD49p9OY6Wk5dD6P6ALQfxlFUbn9vnW09wwHvR5iM45k7z+NURTk4cH/dStOX0516NT/eGr6kHCrplN6zjkFCfzgxtJTek4dHR0dHR0dHR0dHR2df4wuAOno6Ojo6Ojo6Ojo6Ojo6Oh8zjnNXU50dHR0dHR0dHR0dHR0dHR0dP5ddAFIR0dHR0dHR0dHR0dHR0dH53OOLgDp6Ojo6Ojo6Ojo6Ojo6OjofM7RBSAdHR0dHR0dHR0dHR0dHR2dzzm6AKSjo6Ojo6Ojo6Ojo6Ojo6PzOUcXgHR0dHR0dHR0dHR0dHR0dHQ+5+gCkI6Ojo6Ojo6Ojo6Ojo6Ojs7nHMP/ugGfN2RZobfX+b9uxj+FKApERdnp7XWiKOr/ujmnjM9jvz6PfYLx+xUbG/pvnfOzNAf/E3xer5V/li96/+HUjIE+D09f9Gv8f8t/a/z/3TkIp3Ye6tfdp0cfs0/P6TZmp2Ie6uicbugeQF9gRFFAEAREUfhfN+WU8nns1+exT/D57df/ki/6mH7R+w/6GHze0X/f/y1f1PH/ovb730Efs0+PPmY6Ov95dAFIR0dHR0dHR0dHR0dHR0dH53OOLgDp6Ojo6Ojo6Ojo6Ojo6OjofM75zAtAtbW13HjjjRQVFTF//nx+/etf4/V6P9U5nnjiCSZPnsztt9/+H2qljo6Ojo6Ojo6Ojo6Ojo6Ozv+Oz3QS6IGBAa6//noyMjL44x//SEdHB/fddx9ut5t77733nzpHV1cXDz30ENHR0f/h1v5ziKKALAioKoiCgGgQcA77EAUBm8WAoqooCqiomIwSqqIgK+DxyZgMEqKIdqwo4PbKyLKK0SBgMxvxKwpGScAgiQwOeTEZJPoHXSiC9p1+RUVVwWwUsZgMgIrT7UcSBSxmCUXR2jTk8qECNrOEURJx+xQEAbw+GZ+sYhAFQmwGZEXFKIlaEjdRQJFVfH4Fl8ePxSxhGHnPZJTw+WX8fq2tCAI+nwICSKKA16cgKypmk4SqqLi8MkZJICzEhOxXEEb6qgKoYLcY6B10oQgiigRWs4TXryICXr+Cz6+gqCpWkwGTUQRBRUDA5ZHxeGUkScBqlhAAURLx+xVQVWQVTJKEV5bx+xUEQcBqkXB7ZHx+BaNRxGY24PcrqICqqphNBmS/jF8Ft0fWxtYooaD1TVZUFBWcLp/2O1kMKIqK2WjA5fFjMIh4fTImk0S/w4XBZMBiAZdPCfy+JqOIzWLA7ZEZ9mi/l9Us4fcpqIKAoqjIioIoiFjNEm6vH7vVhF9W8PpkVLTv88sKkiggoeL3KRgMIozEYquyoo2Djo6Ojs5/BMmgrad+WcUgCVgMIrJ86u67ggCSQUJRtfVwonu6JAkIkojbq+CXFQySiN0s4fH4A58xGEQUFYxGkSGX/3ibjSIC4Par+GQFURQwG0VUFYwGCQQVSdDWPkkS8MsgCJpdYzKJeNwybp+MANitRgQB/LKWCFYStX+bjBKyoqDIKqIo4JdVvH4ZVDAZRURRwGoyMOD04vEpGCQBu0WCkXVeVbXvMhlEht1a2y0mCb+sICCgoKIqKiaTAUnU1mqTUcTnV5BEEZ9fZtjlRTBIIAiIgoBREvH6ZWRFxWSQMBkEfH5V+/0U5bRIZvu/JHDtKSqiMPG1dzKj15koCsh+7bf7TzFq88gKuL1+DKKISRKC5qAkiXgUNXC9m0baZzFpfZMEEEQBr1/FaBAZGPIy0DaIySBitRgQERFHtt5HrzUB8PkV3F4/vpHjQq2azQ4CgtYsDKJ2DSqAiIrXr+D2KqiqSojVqNncBgGPV7NBZVmznU1GCZtZYtgr4/Np81mzcVWcbs1+jQgxMeTyaTa8JBBqM+KTVSwGUTuXorXT7ZORZQW7zYgqq0gGEZ9Ps6lVtHaO3jckUcBiklBVcHtlbR6aDfhk7d5gkLQ8P26PjF9RMBtFzCYDHo9Me7dTuw8ZxUB/zEYRYeRZxSgJmI0Sbq+MySjh9vjx+LTvtJklRFFEEECVlaD7lo6OjsZnWgB64YUXcDqd/OlPfyIiIgIAWZb5yU9+wu233058fPw/PMdvfvMbli1bRmtr63+4tf8YURJxePwoiopj2IcsK5iMIpFhVvyywq5D7WyvaMdmMbCgKInUuFBMRol+hxu71cSBmi52VbZz4ZIcNu5t5qPdjXj9CgnRNq49J4/wEDNmo4TXJyNJIsqAi36Hh6TYEIaGvVjMBuxWI26vZoCJaEaaX1Hw+BR8ssKAw0N8tI3efhc1A25S4kIItZuoqO1hU1kLM/PiiQ6zYJBEosMteH0yflnFbjMgIjAw5MFuM2E0iLg9Prw+hSGXlzC7GbNRpGfQy5rt9fQ7PMzKT2DG5DgkAYY8fo409JIcG0KY3YTZJOGXVYbdMr0ON06Xl8RoOz6/Slu3k/AQE16fjM1iZHt5G/uOdJISH8L8aUm8s6WOLQdaiY+yceN5+UxKC+do8wCPv11JW48To0FkcXEKly7PRRAUegc9+PwKsREWegbc/O2Ng9Q2DyAKMGtqPOfOz+KPL5cBcO05eWQlhTPo9OJ0+zCbJCJDzXT2OslJicTrUxh0eRl0+nhvWz2DTg8lU+KZmRePx6vg9/sA2Fbbzp5D7ZxRmk5ijJ261kHCQ8yE2014/QqvbzzKhr3N+PwKiTF2rloxhYhQE1GhFurbBkiODcVoEKlvG+CJdyrp6B2mMCuK2y6axpDLR32bg1C7CbvZgMPlY+3OBgaHvRTlxlJakIAkCKzd1URVfS9JsSGcOTuNUJsJSdUNWR0dHZ1TjSII7Kho56V1NfQPeVhUnMwFC7Pw+jQRJTLEhFkS/uX7ryII9Dg8vL+9noEhD6X5CRRPiiXEbEBVVW3TBRWfKjDkllm7s461uxpwe2ViI6xcc84UJqdFoijgcHnxywqhNhOyU9sM2Vbeyo6KNr51dQkOl4+/v1FBfdsgoigwrzCR8xdmMTjkJjU+DEXVBAFZVvH4ZFweP0MuH4nRNkwGiaffP0xqfCh5mVH0OTwkxdgwGyXNblFUQGDQ6SEyzILL4+dvrx+kpqmfs2ansXRmauCh1+vz88r6GvodHu64eDovrKtm/5FOVBXyMiK5ZVUhAw43jIy9QRLITY1k2O0jPNTM9vI2XB4/86YlkhRj54MdDczOTyArORyjQcYgipRXd5ESH4pfVjlY201lXQ9hNhMr5mQQE2FBEMBkEDECPq98Ki+Z0wqDQRPeZFkdI1oqgkCvw8P72xvoH3Ize6pm25lFJryeRVHAo6gcax1EELSH/YhQE1ajhKCoSJKINDIfJhKTTCYJj6yiKCqqqokZJ35WFEUUARwuH4NOL1azgcYOB4dqe5g1NYGOHieFOTEYDSKDw15iwq28s7We97fX4/H6OW9hFucvyMJskhhy+TBIIkMj9lRz5xAZSeEsnZGCY9hLRKiZrj4fw24fcZE2OvuGqajtYcbkOOSRMQi1G7EYJQRRZNjnx+dTcLp8DLv9RIVp19JrG45SmB1NTmokT7x9CKvFyNKSFN6qaKOzz8WUjCjmTUukvKYLt1chMymMmHArVfW9PPX+Ybr6XJhNEitK01m1OBtJFFANIq98fJQ12+txe2ViIixcunwSxZPicLl8dA24EQSIDrNgNon4FZU3Nx7jaFM/KfGhnDk7DZNRpLvPjdksEWLR+uHy+jnaNMTj7xyitduJQRJZOjOFi5fm0jvoJiLEPCICgUXUxJzOXgdev0J0mAVVUDEbDHh8MgNDXkLtJoacXvYc7uDM0nR6fG4sJu39h145wMGjPUiiwEWLs1kxN4OWTgdRYVYsFgmLKOibmDo6JyCo6n9ST//PcvXVVxMeHs6f//znwGuDg4PMnj2bX/7yl6xevfoTj9+zZw+33XYba9as4Zvf/CY2m42//vWv/1ab/p2Smz4BvD6VD3c28PGeJpbPSiU63Ep6YhivfFTNsNtPS9cQ7hEj4px5GUTYTRTmxPDGpmNU1fdyxVmT2bC3merGPiwmiZXzM5maGYXPr5CeEEpPv5vGDgcVx3qoqO3mS6uns2l/MzsPtQMQG2HlG1cUExtppa3bya7KDjw+maLcWBJj7ESEmGjqGCIsRBNhHE4v1Y39GCRtV+y9bfV09g2TnhDGJctysZoNeP0yH+9tZtfIdwAkx4ZwxyXTeOCF/XT1uTh7bgahNiMvf1QTNCYRoWZ+fvs8FFTcbj8b9zUzOSOSrKQI3F5N1TeIIkajyB9eLKO6sS9wbF5GJLevnoaiqBgkkXe31rFuVwN3XFLEpn3NTM6Ioig3BkEUGHb5KT/axfvb6vGOLBI5KeHcuqoASdIMG5NR4q7fbcAnB0+ZqDALX1o9jV8+sQuAr1wynU37mjl4rAcAq9nA1y4rQhQhPtLGjop2XlxXPeYc995SSu+AW9uNCTUTZjfx5LuH2VHRFvjc3VfN4M2NtdS2DIy5fr5+eTFby1u5dVU+Xr+C16fwzpZjbDnQyuS0SC49YxK/fXYvg04tRFISBS5cnE2IzcST71YGteWuK4s5XNdLVko4Pr9CiM1ETJiFYY8fw8hYeP0yZqOExSCi/Iu71AaDSGSknb4+Z2Bx1stP/3uMN6ZfJL7o/YdTMwb6PPzvIAhgMBrYeKCVR96sAGDVoixCbSZeWlcdWI9sFgPfuKKYnMQwDJLwqX5fVRD4cE8TL67V1h2r2cDiGSlkJ4czNTOKbeVt5GVEEhdl40hDH+v3NrH/SFfQOQqyo7nsjEnc/8xelsxIISs5nDc21tLQPkhcpI2LlmRTNCmWgSEvf3hhH5edMYnU+DCGhn34/DJ9Dg95GZHsO9JJdLgVSRIIs5t57K1DNHU4uOmCfKxmAwePdhNiNTIrP54Qq4mOXidRYVZe/biGFaXpbD3Yyv4jXTicXr57/Sx+/tgu/LLCVy6ZTkP7IO9tqw+IChEhZr5z3Uyiwy1868HNgbVvFJvZwM+/PA+Av75WztlzM2nrdtLncLN2V2PQZ+OjbPz41jl097lo6nQwY3IcfQ4PkWFmRFHgO3/cgtsrkxRrx+X209rt5PIzJjFvWiI1jX1MnxSH2SDg/xQi0OlWBn68+4ogCrj9CrsqO2jpHKIgO5rJ6VEBcUcVBD7a18xzHxwJOldkqJlffnk+FokxXj2CAD5VYNjjp2fAxdHmAdbvaSI1PpQbz5+K1WTgQE0XXX0uEmPsZKeE45dVzAYRi0FAUcGrQG1LPy+sraapw0FcpI0vrS4kMcaO0+UjxGrC51e4/9m91LcNBr57Wm4M5y/I4o8vlfGjW+bw6FsVVNb1cuVZk6lu7GNvVSfzChO5dPkk9lR10NEzzJIZyUSGWWjuHOLXT+8JCDoABknkR7eU8urHNZRVd3P9uVOpbe5nUlokMeEW/vjyAVwjHiomg8gN502leFIcKiqN7Q6qGnpZv6eZQaeX0vx4bjw/H1WF7z60haykcOYUJvLwa+VBY2gxSfziy/MwSCJGg0hDm4O61gHyMqNxe/0YDSK1zQMcaxngoiXZvLyuhr1HOsf83rdckE9mUjg/eHgbdouBa86ewvTcOA4c7aKmqZ+axj5MJonO3mG+fPF03tlyjMq6Xgqyo/nyam2zsd/hweOV2VPVwfTcWEKsRgySSEyElTc31VI6NZ7UhDB8fpl1e5pIiLTh8vjZc7iD2y4s5PF3KjlY2x1oU1ZyON+6uoTaln4sJgP7j3QSYjOypDgFi1nC7VUoP9rF0aYBclLDyc+KwWrSvB4tEvj9n/6RVy8Dr/N55DMtAM2dO5eLL76Yb33rW0GvL1y4kFWrVo15/URkWWb16tWce+653HbbbVx77bX/UwFIGHFlvP/ZvdQ2DxARaubWVQV09g0zNSOaww29OF0+spMj6Oof5un3DpMUG8K3rimhvnWQhvZBUuJCSU8M5aeP7MTl8fPta0p4Z0sdh+t7+frlxTS0D9Dv8BITYSEy1EJclI2/vFbOrRcU8LPHdh7fhbAZ+cFNpTz3QRVnl2aQEG3DaNRWaVEU6Bl043L7OVzfQ8mUeEJtJo409PL3Nw/hP0kI+Mmtc9hyoHWMMQUQG2nl5vMLaO91UjIljvV7mig/2k1tc7C4UZqfQGp8KNNyYgCVTWWtfLynKdDeOy8vYu3OBg7XHxd/zCaJ61dOJT7KRl3rAGaTRF5GFKoKr6yv5qbzC3j6/cNsK29FUbW2XLI0l+yUcJ5dc5iapgHuvbmUA0e7Wb+nCVlWKC1IoGRKPH9+5QCdfa6gNt543lTW72miod1BRKiZG86dygMv7D/++wrwu68vxun2cc/D28a9BhYVJ1OYHc1Dr5SzZEYyNouR97bVYzZJ2C2ae++tFxZw/zN7xz0+KcbON68qobFjkK5+l1ZGU4Dc1EjMJol7Ht6Gb5yHhdsuKuSD7fU0tDsCry2YnkROagRPvKMJQwZJYGlJKvlZ0Tz44n7io+3cfEE+r35Uw4y8eJYWJyP+C7cSXQA69XzRBZAvev9BF4A+CwgC+BHo6nNxpKkPk0EiPtrGhzsaWFScwv3Pjr3PiwI8cNcSImyGT/x9DQYRn6wiiiIqKoPDPjr7XBxt7qete4ilJals2NdMU7sDo0Fk5fxMBoY8WM0G8jKjWL+nCUXRPFr6HV4GnR5+fOtcfvLIDvIyopiZF89jbx8a870XLMxiTkECAMNu7aHWL6t4fTJl1Z2sXJCJxSBx/3N7uePi6fz9zQpqmvr5zrUzeXvk4RFgcnokN56Xz/vb6ogINeOXFeZNS2LQ6aWuZYDEGDuZSeEcqu1m/d5mbjo/n+auIf7yannweIkC8woSuHal9tBd1dDLR3uacbl9XLJ8EpPSIqhvHcRolCjKjWX7wVYyk8L5f0/uHvc3W1GaDgI0dw6xekkObd1O3txUy9evKCYy1Exbt5MjjX2E2kykxIXw9pZjXL1iCj39braUt3LtOVMwfIp18nQXgARRoKHTyc8f3xkI0wNt4+4Xt8/DZhQZ8sp87bcbxj3f/GlJ3HL+VNSTN5Akga4BDy+tq6audZC4KCuXL59EeKiZ2uYB+oc85GdFI8sKNU39ZCWFY7UYeH5NFVevzMNmNrCvqpNHT7hGL12ei8ko8drHR7nzsiJkReWlj6ppPMHuGWVOQQJXnTWZnkEPflmhurGPvIwofvroTmbmxbOgKIkHX9iPosJ5CzKxmAykJ4by9zcqxoiMoG2qXXtOHo+9XcHtq6exq6KN8xZm8Z0/bRkjfl20JIdpOTG8/FE17T3DpCeEctGSHDbub2bjvmZuOr+ASWkRfLCjgTkFifz66T14fGNFxbT4UC5YlIXVZCAtMZS1Oxt5b1t9wEbPy4jiijMnER5i5hu/3xg4ThQFSqbEkRYfil9WWDEnQ7tX+RVqW/pxeWTSE8KwmiUaO4Zo7RoiNT4Un6wQE27hWOsAKbGh/OW1A3T3uwGYV5jIijnp/OnlA3T1a7ZzeIiJL188DZvFwKZ9LZxVms6aHQ0cqOki1GbixvOm8s7WOnZXdozpW1ZyOFevmMLbW46xekkOIVYjVrMBl9dP74CHw/U9fLCjgSGXD6vZwPeun0VEqBm7xYCkqp/ai1IXgHQ+j3ymQ8AGBwcJCwsb83p4eDgDA2M9JE7kueeew+VyccMNN5zydhkMny63tiiJ9Ax56B1wB8SPxcUpNLQPkhofyvf+sjXohlWQFc33b5iNrKh8509bcLp8gffiIq18/YpimjoGeWV9DZV1vXzjimJ2H25ncXEK28pb2X6wnehwC8tmpvLNq2bw0a5GSvMTCLEZKZ4cp+UeApYUp/CX1w7g8crcc1MpWw60sH5PM35ZwWYxcNGSHFweP0++e5j0xDB+eHMpr284Sln18Z1Dr1/h473N4/Z70OklJS4Ep9vHX14tR1FV5hUmcdnySTz0yoHAQrr7cAdLS1L52WM7+eUd8wPGaUFWNMtmpZKeEBYk/oiiwDevKuG1DTVUjbwuCFr+om9fW8L1507lsbcPsfNQO6IAt64qwGI2sGl/C+t2NzIzL56bLijgsbcOsf+Evry9uY6tB9q487IifvLojsDCPTk9EkkSWVKSwjPvV9Hv8GA2SUF9VVXYc7hjjEB2IlsPtLJqUTZfv7wYi1niuTVVfOOK4pEwPw+JMXYEQdu9dY0T09za7cRkkrBbjWza38KQy0dBdjRWs4FDdT3jij8A722t46zS9CCDfvvBNuZPTwr83y+rrN3ViEESWVicwsZ9zfz22X3837Uz+ckjOwi3m5hfEI8sf7qFVZLEoL9PFZ92Dn6e+E+N6WeFL3r/4fQZgy/yPPxHeGT4xeM7qT/hAdRkEPnOdTPZWzV2Nx5AUWHNjnquWTEZGPv7CgJ4/LDzcCfr9jQhiQILpicTYjXy0KsHyEmJ4Murp9HZP8yMyXHkZUSREG2nrLoLSYSSKfEcONpFZV0vBknkgoXZpMSFIMsKh+p78fkVzpqTzsMnCS2jvLPlGGfMSkMF3t5Sx85D7SiKSpjdxEVLciiv6SY/K5rbL5qGIAjUNPWTlxFFQ/tgQPwJDzFx+RmTuPev2/D6FX7+pXnIssKfXj5AW/dxIcNqNnDPTbO5IzOa2uYBXl0f7D2cmxrBTefns/NQO795Zi+RoWbOmpPO4hmpOF0+1u1u5KWTPHHvvLwoyNvgZDaVtfDl1dP4YEcDh471cPMF+WQmh/Pjv2/nJ7fN5f89uTuwMWWQBO64ZDptPU7C7CYq63oYGvYRHWFBOIV5nf4ZTtU8PPm+4var3PfU7iDxB6Df4eGhVw7w3etmsre8bcx5Rtle0cZ1K/OwntA+URRo73OzZnsDvYNuegfdTEqLoKvfxc8f3xXkXTM1M4pVi7L56aM7uOacPG44L5/nPqzi7LkZPL/2uMdRWnwosRFW/vxqOXkZUTR2DJKVHDGu+AOw61A7Fy7W7FtREMhICAuEta2cl8EvHt+l5b8yiBRNiuXnj+3ie9fPCtisghDs1dQ76MZuNTItJ5a9hzu4ckUer2+oGSP+zCtMxGKS+MkjO4KO3V/dxTevmsHZczJYu6uR9XuaSIq1A4wr/gA0djjITApn4/5mjrYM8NbmY0HvH67v5W9vVHD3lcWB13JSIrhuZR47D7VzoKabyDAzXf0u2nucrNvVyIzJcUxOj+RPL5dx1YoprN3ZQMWIp3t6QijfuW4WRoPEPQ9vPSFvl8CKuRn87NGdQfbvwJCXXz21h19/dSElefF09rmYMTmOo0391LcN4pdV9hwOFn8So+1MTo/ELytEhVm45uwpeLwyzV1DPPVeZUBwmp4by7evncmfXi6jq8/FH18q44Zzp5IUG0J0uBnxvzz/dHRORz7TAtC/Sk9PDw8++CC/+tWvMJlMp/Tcoqi5Zn8amjscmAxSkNIdHW4hJyWCex7eyslidcWxHq46ewq/eXpPkPgD0Nnn4oUPj3DbhQU88uYh4qNsGCSROQWJ/OLxXYHF4mgz7DzUzrXn5DErPx67xcTrG49y/zN7kRWVKRmR3HR+AT+9bS5Go8hjb1Wy7wQX0WG3n2fXVHHRkmzioqx8tLuRjfua+OZVJfQMuGnq0BZWv6xMKHp8efU0HnqlLEi8qarvIzU+lK9dVsQvHtdCqhRF1VyC/Qob9zVTPCmWWVMTGHR6eOrdw9y+ujDovLOnxlNW00VVfR8LipJYMiMFn19LfBcbYaWzz8WuSi0c7eqz8zhU18O2E4yUmqZ+3t9ez91XzqDiWLBw0jvoZt+RTmZMjqN30M11K6dSVd/LgZou4iNt3HNTKet2NZAQbef7N8zG7fUHQrZ6B93YLBNPOVlR6epzkZEYhtUiceflxfzq6d2BRQ1gSlok376mhF89vQfPSa7kJoNIa9cQBkkMCFc1Tf0MDHk/ccejrdtJVJhlTFsEhDGf/Wh3I9+8uoSN+5pxefw0tA+yojSd5z88wqypCcRE2ib8nk8iLMz6Lx03Hv/KHPw8cirH9LPIF6H/5Ue7+Mur5bg9fv707WXYrcag9/+XY6DPw4lxe/w8+sqBIPEHtA2TXz+zl+9dN4v3ttWPe2xTxxAGo7bBEBZmZWjYx4DTw6DTS7jdxM8f3xVYfwEq63qZkhHJl1dPY3NZC3WtAzz0yoFAKDnA0pJULlySzX1P7aa5cyjw+qFjPUzNjOK6lXk0tGphMsaRPCfjoahaAunfPBMcVjPo9PLku5XcdH4+NouBl9ZVc/bcDDISw5g/LYm3txx/OD1zdjqvbTiKyShx8wX5xEZYefj18jHiz+qlOfh8CqrqJy8jMsgrNyrMwtVnT+Enj+wI6ufuwx1cvDSHKemRCMLY9e1ATTdWszTm9VF8fhlROn7cM+9X8a1rSth1qJ3N+7UciKPh9H5Z5aGXD/Crry7AYjYQF2njWOsAYSEm4qP+e/PiPzEPR+8r+6s7g8b3RCrre/GPJPudCGUkEfho+5wuH23dTj7Y2YDT7WNxcQpXrQjBbJT48d+3j7GFK+t6yU6JYMaUeJ567zDJsSGUH+3mjNnpAQ80gLNK03lzk3aNzZ+WxLrdjcRETGyrKKomrDz1XiU3n59PcmwoKvC37y2nsr43IEIVZEezbyRU0mAQuO2iQuIirfh8CmaTxL4jnYGQRGUkQfN5CzLx+vxB82yUZbNSue/JPeO26e9vVnDbhYV8uLMBgPYe54hX/MQMu31MTovkTy8fGPf9lq4h3D4Zq9mAxSRx1YrJ/PKJXcFzprKDi5Zkk5UczovrqokOt/CTW+fS3OXg2pV5NHcO8drHR2lod7DrUDsdvcNBgmBJXjzby1vHfQ5QVXjpo2piwq28v72e8BATX7+8mBfXVhNq0/7t8yuUVXcypzARp8tPWXUnZqPE8EiOTa9f5nfP7Qs674GaLpo7HdyyqoBfPbWHrn4XVosBp9tHiM1AQnTIJ46bjs4Xgc+0ABQWFobDMVbBHxgYIDw8fMLj/vCHPzB58mRmzpzJ4KBmpPj9fvx+P4ODg9hsNgyGf21oFEVlcHD4Ux0jCLC3qpMQ63ExSlXhcEPvmAUPtJhih9NLn8Mz7vkO1x8/bmpmNIIAz66pGnen4NkPqvjjN5fwl1fLA0o+QF3rIANDHhraBslJjQgSf07kvW313HXFDLaVt+GXVZ54t5KLl+bw59EdQhUKc6KZnhOLIAhUN/WRnhDG1IwoTCaJ1UtzKavpYsPe5oCY1dTh4GhTP1Mzo6is62VqZhTHRnLeNLY7OHtOOk63j/SEML60ehoJ0TYuWz6Jd7fV4XT5mD89iT+/Us7VI7sD9z25B7+sIArw/Rtn4/erzJ6awLKZqUSEmElPDCUnJQKX24/dZqSzd5iN+5r5aE8TC6Yn4/H5WVycgqpqi3xTxxDpiWFEhpr5zTN7ggyN97bV8bXLijhU280jbx0iPMTEbRcWsnZXI5IoUJgTw6sfHx13LKflxHC0uZ9Dx3qYnhvDX18/GCT+AFQ19vHBjgbOnGMrc00AAQAASURBVJ3GO1vqgt5bWJzC1vJW0uJDyU4JD3iTNbQNsrA4GYLXyABpCaF09AZfs9NyYlBUFbvFgPOE/iXE2EmKCeEnt87B7ZWxmCVKp8ZzpLEXl8dHX9+n21mRJJGwMCuDg67ADtu/a6z+K3Pw88R4Y/pF4vPcf1VVAy70Fcd6eXZtNfFRNnoG3Xy4vY4lxcnAqRkDfR7+5xj2KWwpaxn3PY9XZtjt46uXTOfh1w+OeXDKTY3A75PBbKSz18mjbx1i28E2pmZGUZgdEyT+jFJV38eSGalcsjSXe/66LciLAuDjvU3kpIZjNQfbPXaLgeWz0gDN03Xj/hZEcaxwMorVbGDQ6Q0Sf07k9Q1HKcmLJz8rhu0H21hYlEx+VjRHm/uYU5BAZJiFgqxoapv7ufuqGby7tY7oCGuQV7HVbOD/rp3JK+treHZNFQBfuWQaN5+fT0p8CKE2E6Ig8PBr5YEHWVGAJSWpzC1MRJZV4qLsXLgoix0H2wJ2UZjdxPKZKQy7/azZ3jBu+2fmJXCo9rid5PFpFUFFQfO4yE6JCPq8rKgcbe5nyOUjJyUCq9mAqkJf3z8XknUqhJtTOQ9PvK8oiopzeHwhcJReh5us5Ilt8YLsaCS08VCArRXtvPDhESLDLPQ7POw61M5VZ03GYjaMawsDrN/dyO0XTWPP4Q52VbbzzatLiAw1B30mJsJKS5cmuJiMIn0OLQHxhP0UBUKtBr51dQnPflBF5bFeQmxGzpydxsy8BIwGrRqX2SjhcvuIj7IRFWbl8bcrA8KOKMCi4hS+cXkxf3ujHBWVUJsJEHhr0zHS4kMDXm+g2fVurzzhhumg04vZJHHh4mwKsqPx+1WSYu2I4viJ4aPDLfT0u7FM4DE+SlOHgy+vLqStZ5gX11WPK+i9sbGWe2+ew4c7G+gZcPPGplrcXj9bylqJjbBy++pCnvvgCANOD3Vtx6MvIkLMTEmP5NAJzxYn09juYGqmVoV5YMjL5rJmvn5FMT0DLmwWA16fTEF2NOF2Mw+/Wh6wR2MjbUzLieHp96vGPW/PgJt+h4eEaBvtPcMIgkBD+yDJMTYcDtenCo3WNzJ0Po98pgWgrKwsjh0Ldmt0OBx0dXWRlZU14XF1dXXs3r2bWbNmjXlv1qxZ/P3vf2fRokX/crs+bc4Fi1ni0LFezp2fwUsfaS7JVQ29Y7wyRjEbJ96BG2XU6JcVhTC7aUKDTBkxUC5ckh0kAN18fj6vflxDa5eTa86eMuH3eLxaGfFROnqHCR9ZWEOsRmIjrRRNimPj3mZCbEZuvqCAx985FHC9towsaD+5dQ7NnUM89d5hegfdbD/YxqLiZGqa+rlkWS4PvlRGRIiZa87JIyLExJ6qTn73/L6AF0xhdgzfubaEv7xWHkgwF2Yz8Zc1x13VjQaJoWEfGYlhpCeE8cAL+wML49TMKK49J4/H36kkItTMvbfMQVEUwkPMrNvdyO+e2xcwFKflxHDbRYX89bXyIPEHtJ2jh187yD03zQa0Be33z+/nnptmYzEZ6OhxMrcgge0V7UHHmY0SFy3J4YEX9lEyJR5BEAIPeiezu7Kd790wm/e31TNvWhLzChMxGyWiIyw8+W4lR5sHSI0LpbZ5gKgwC7mpEUzLjqEgO5qK2rEL8apF2YHkoKB5El23Mo+3Nx/jG1fOYEtZCxv3t1AyJY5lM1P52WM7ArutcZFWbl89jbuunIFBFP/lfCPyKS4z/0XN/XIip3pMP2t83vrf1DnEH18tp3vguChcmBXFmTNTeX3zMTaVtbCgMDHomP/1GHyexv9U4vMrY0SYE2npdtLRO8ydlxXxu+ePK/cGSWT5rFT8Phm3x8/zH1az7aDmvVo8OY7NE4hKoIX1httNE37vmxtrueemUtq6HDiG/ZRVd7F8VipPvneY+rZB7r9zIVazgZauITISw8a1KdISQgObNePR5/DQ0ung4deOr8tOl5dlM9N45eMadlS0MyU9ipXzM/nFSLjPmbPTg0JlLlqSzasf1wQeKi9bPgmbxcjGfS28s9VFVnI4l50xCZNJ4oKFWbg8foomxXGgpotfPaVtBgmCllvwezfM4r4nd2O3Grnz8mIUVaXP4Rl3rbSaDZwzL4P7TsoPJIoCKhAfZadvMHjDBqC7382cggQ8PpkQqxG7WcL9D+y3U82pnoej95XU+Ilzo0SGmmnuHKJnwM3s/ISgIiCg2Rk3n58PiopfVfGiiXC3rCqkrcdJQpSNiFAzBklky4GJq/Q63X4sJonFM1I4b34mj7x5iLmFiaTFh9I4IoYODHmIjbTS1eeitrmfVYuyEQRN1DzS0DfmnCvnZeKXVb73562B+eIZkHlhbTWH63u5/typPPJmBUeb+7nyrCkUT47j54/tpOeEe7OiwoZ9zYTaTXz9ihmgqqycn8mT71ayu7KDH95cyrrdjQFvGVVVkT5BXLVZDCRG21mzvZ43N9WSFh/KhUty+L9rSnh8pNLrKIKg5XZ8aV01ly6bhMkgBpLJjz2vkeZOB8WT4nj+wyPjfkZVob5tkKSYEFq6hthW3sqtqwrZUtZKV7+L3z67j7uvmsHmshaSY0MYGvZx9YopDHv8DAx5WDEngwXTk3nyvUr6T9q4Tog+Pm+m5cSwYk4GP39sJ60jHn9RYRauOWcK+6u7uPXCQh54YT/xUTZS4kIYdvs/8X5T2zJAcmwIPQNuYiOtRIaa8fgVrCZJX5t0vvB8pgP0Fy1axLZt2wJePABr1qxBFEXmz58/4XHf//73eeqpp4L+TJkyhaKiIp566immTZv232h+AFlWmZYbw6ayFq4/dyoANU19FOXGjvv5YY+f+KiJ3VetZgN2m5GMxDDKqruwmD9Z53N7ZdxeObBrEmY3YTEbqKrvw+XxE2qfOExOEDSjdDx+fOsc/vhSGU+/d5jGDgdnlaZz/7N7gwwrt1dbVPcf6WJ/dSdfv6KYMLsJRVVJiLZzz02lvLq+hgsWZnHHJdN45aNqHnhhPwMOD9+5dibxUTbyMqJYOT8Dp8vP9efmExdp446LC2nudFCanxDY1fT4ZLJSwqms6+Wlj6qDdkUq63p54IX9nDc/k12H2vnuQ1to7R5mz+EOlpWkcd3KKdhHwrfKj3bzq6f2sHhGyrj99vi08Zw+8vv5ZYWK2h6iwsz0DXlYtTibW1cVkJ4QSlSYhYVFyXz/xtm8uO4IA0NepmZE0TMwvvgDmmERGWrmd99YRJjNyAMv7Oenj+3knoe3MSUjijNL0xhyebn5gnyuW5lHV7+LR98+xLzCRH5865yAsGizGPjS6kJiI6yYjGKgLffcVIrL42fj/hZ++cQupuXGkp8ZxfkLsvjdc/uCXO07+1z88vFd9A16eGHtEZRPMGB0dHT+NXoG3Pzq2X1IosDFi7K4bGk2t5yXxzml6RgkkcmpkRxtGZwwH4TO6YXZKBEdPv4GD2g5SzaXtdA94CI7RfOgiI2w8tPb5mAzautt/5CHj/c2AZq3QUF29JicIieiqirD7omFh+4BNwKw50gX6/c2ERFqxmY1Ehmm2QVPvFvJz26fy65D7Vx/7lRCbcHhhgZJ5PqVUwmxTWwvGA1ikLfCvMJEbBYj9/5tO+U13XT0DtPv8PDKRzWBB2+/rBByQmhjTkpEwIY4Z146ggC/eWYvFcd66OgdpqnDgUEUmJIexdHmfhzDXswmkciRZNLaWMCOinZeWlfNZWdM4obzpvLQy2V4vDKPv32Is+dkcNP5+aTEhRAVZmH5zFS+d/0snny3MshuOLFdC4uSxogcoP2Wf3v9IDHhVkJtRjyf8Bt81rAaRc6cnTbue1ecNZn3t9ezu7KdCxZm8u1rSsgYsXmWlKTwu28sIsJmRFVVDAaJYbefJ9+t5PfP7+OFD4/wwAv7+eNLZYiCwJT0yAnbkJ0cTkyEleQYOzsPdXCoroc3N9dyw3lTAyGx63Y3cu78TAqzY5g3PZn+IQ/vbDnGzRfkUzz5uJ0tigLLZ6ayqDiZR98+NK5YeqCmm8RoOzaLge5+N0kxdkRBCBJ/TmTdrkZS4kJ49oMjeLwyuyo7kBWVNzbW8v0bZhMTod0HZEUTgCZKE3Djefn84cX9HGno49vXzGT5rDTW727igx0NXLcyT7OHI23MmBzH/7tjASmxIRglke0HW1k6M3Xcc47agq98VEPISfP5ZEZTMYA2f06MoHR5/LR1O3E4vVy4OJu7r5yBJAlYTBJNHUP85pk9vPRRNXddOSNozgCsmJPOxv3NiAJce04eP/rbjoD4A1rahT++VMbUzCgEtPvgspmpvLu1jiGXl4jQiT254iKtWM0GLl2eS3Ong4/3NiEgfOpclTo6n0c+0x5AV1xxBU8//TRf+cpXuP322+no6ODXv/41V1xxBfHx8YHPXX/99bS2trJ27VoA8vLyxpwrLCwMm81GaWnpf639o8iKSmKMnZfWVXPh4mweuGsxm8taSEsIJTHGHhT7PordamDh9CQ2j7Mzcv6CLF75qJovrZ7Gw6+V4/MpQbshJyIK2g31cL3mcdTn8JCdEh7YXfP5FTxemZgIy5hwJIDiSXFBbqyxkZqY8JuvLaCmqT9QWcpuNSJJwrh9AXh7yzFuvqCA59ZUcf6CLK3aWP8wf3ypjFWLs2np0ryDRqms09r7netm0tXr4sEXy3B5/FjNBm5dVUCY3cSA00uIzcSdlxfhGPYSG2HDOewLeFmdTEfvMCqaADbo9Grx3yMeSzOnxvPta2byq6f34PL4aepwYLMYJ0zI3Dvo5sLF2Ryo0VzXRVGLpX7inUrC7Ca+c91MFhWnYDFJHGsd4BeP7cTrV4iNsBJiM35i0sbRBNNPv3+YPYePh+Y5hn0898ERrloxmSUzUth+sJ2t5cevj0PHeoiNtPLT2+bSMlK5Yd3uRtZsbzihLYMcrO0OuEurKjz1XiX/d81MPjqh8tqJyIrKxv0tyIrK/upuSqfE6rsrOjqnCEVVefTdSgySwOXLcrCYxi7bo+J976CbxGjdXf10xyzBDedO5bfPjY3LnZIRSVe/C49XZv2eJr53/Sy8Phm7xYhZEjTvXlHA5fEH7sdnlaZTVd9LaX7CuCFgoIkto5Uhz5qTway8eLx+GaNBpLlziLLqLnYcamftTq1iZ2VdL2t21POta2ayqCgJRdUKKSyYnoxBEvnlHQuoaezjUF0PsRFWJqdHcaC6i1n5CdgshjHesQDLZqaSFKNt7Hy0u3HcnCeCAEcaj3tlrN3VyEVLcnj6fW39H83nd9MF+UzNiOLuP2wKfNZuMXDrhYX84OFtQdWYdlS0c+78TM5fkBWUb6iyrpdLl09iYMhDZ5+LhvZBMpPCuf/ZveRlRHL3lTPodbgJsRj58SM7cXuP90kUtZwvAN+8qoSP9zaP8bJISwjFryhUN/XT2TdMYrQNoyh+pkJTDQYRt18FVcVwUt4kQVW5/Ayteuor62voGXCTmRTOdefkcbS5nyvOnMyRxj7e39ZAYoydr11eTEevk6SYEGwGEXXk+vWpKn94Yf8YG7NnwM3Dr5Vz5+VFJMeGBOySE7n67Dzue2o3Fy3J4dWPtUTgXX2ugGB58Gg39W0O8rOiSU8IC0pGfLi+j3PnZ3L12Xm4PX5CbSY+3ttEz4BrXM+gUaoaernxvHye/aAKVVVxDI+t/DWKy+Onq89FfdsgsqwEBND4KBvJcSH837WzcDi9+GUFo0Hi9osK+cNIhbFRrGaJ9IRQapr6+cGNswObqqPsr+6iKDeWb149g80HWunud/HY2xV8afV0vvXgJr51dQkDQx52nOB5nhBt40urp40UYAGvTyE3NYKapv5x+5GZFMaza7Txn1OQGFQgBaC1a4jLlucGUkGUH+3GIInMn57ED26czYMvlvHSumpWzs/kpXXVIyXv84mPsjF/WhJt3U52VbaPu4mhqrBmez1zCxPJTYsIhPRt2NvM2XPSeWHtWJteEgUKs2OICbeSmRTGn14+wMr5mfQMujFHTCwa6eh8UfhMC0Dh4eE8+eST/OxnP+MrX/kKdrudSy65hLvuuivoc4qiIMun785omM1IWc0w379xFv2DHn7w8FbuuamUNzbW8qWLCvlwZyM7KtqQFZXU+FCuOHMSXp/MZWdMIi7Kxvvb6xl2+4kINXPx0lx8fpmP97aw70gXl58xGbvVwB2XTOeeh7eNiS++aGkOW8tbmZoZTc+IG6bPp2A5oYrVi2ur+eolRTzw4v4g982MxDAuWJjFr57WDDhRFLjp/HwEQcBolILcdmPCLXT1u0iMsdM76B6TwHjQ6cVkFDnS2MeVKyZrXkwWI7FRdqLDLXznT1vGjFvvoJs12+uRRoxhgG9cUcwr62uCFrGPdjdy9px0hoZ9JMWEjHFBPZHmTgexEVYGnV4GhryYjRJ7qzo5d34mr286yvkLsgICUnuPk8hQ8xgBSBAgLtJGd7+LqDALvYNuZkyK4+cjSa0HnV7e2nSMJSUpvLi2mvq2QURRYE5BAmfPzeCPL5VxwcIs8jKiOFzfO6aN58xJx+tTgsSfE1mzvZ67ryoJEn9G6epz8dbmYwy5vEzLiSEy1ExX3zBPv3+YiBAz5y3IxGSUgpJiDwx5CbObqGud2NW2vm2AWVMTeG3DUYpyYpg4jaaOjs6nYfOBVqoa+7l86fjiDxDwxugd9OgC0GcAWVaZmq4l9H/y3Uo6+1yYjRKLipOZnZ8QKAE/5PJhlESskgCoQTvXVrMBgyTgl1Vm5yfw88d38YMbZo+7aZSTEoFtpFTy3VfNYH91F794YlfgYTQ7OZw7Ly/moVfKgo7zyyp/f+MgN52fz/aDbdQ2DwSSU2ckhnHXlTMoq+li35GuwENYiM3Aj26Zw08f2RGUP25qplY+/u4/bEYSBS5cnE2ozTTGJlEUNdAv0BK65mVEcvMF+byxsZaIUDNfuWQ6uyrbMUrBHkXLZqXx1qbacUtxv7u1jntvLuW9bXVBGxmDTg/tPdp4rdnewDeuKObRtys42jzAdx/awupluRTlxvCrr85n0/4WalsGSIq2Mzs/gfe213PpslwOHu2mZEoctc39tHY7tQffaYksKUkN/JbHWgdJiQtBBE5jczSAIIAfgfV7mvlgRwMen8zs/AQuXZaLzSQGPuT1KYRajfzfNTMJs5sQRQGDJCArKr8e2TAb5Y2Ntdx1QtWpUYZcvsBm4ck0djgYcvm4dVUB6/Y0suOglm8yJyWcm88vYOP+Zjr7XFjNBpyu49/V2O6grnWQ7QfbiI+yYZREHn6tPOh6c3n8vLK+hre3HOOHN5Vy9wMbkRWV/7t2ZtA1eDJGg8jR5n6uXjEFs0n6xHuu1WwICERNnUNMSotEVhRKpsSx42AbG/Y1s2JORiAsck5BAj+8eQ47K9po7x0mJzmc5bPSONY6wNTMKGoa+8fdzC2r6WJBURI7DrbR7/AQG2GjpdPBPTeV8thbFZTmJ/CjW+bg9cnERFjp6HXy0CsH6Brx6O53uLn9okJ+8JdtY0SYc+dnsqeqE0XV8vosLUnhp4/uDPrMlIwo7DYT3/rDJvyKSnyUDb+sFW6pqu/ltgsLue+p3dx2YQFZyeFIosC6XY088uZBFhWncNXZU3hmgnw+oOUlPWduBj6fQlffMClxoVQc6+HmVQXUtw0GiVsmg8gdl0znlfU17K3qJDbCylcvK8Lt9bNxXzM3rpzC8D/IX6Wj83nnMy0AAWRnZ/PEE0984meefvrpf3ief+Yz/ymcbj+RoWaGXX7q2wb49VcX8vaWY6zZ3sD6PU0snpHMt6+ZCRDY9fvdc/v57nWz6HO4+dnt8+jqczHs0ZLR/eAv2wDtwf1vbxzk29eU0NA2yH1fWcCa7fVUN/URHWZh+aw0GtoH2X+ki7NK0wPCSFVDL9eekxeomtDW4+RvI0YgqrZYZyWHE2I18uK6I8RGWMlKCeeixdms39NEWkIYLrc/EM+cFh/KVSumIIkCZ5Wmkxhtp8/h5pn3DwcMRLNJCrivW0wGDh3rYc/hDsxGieS4iTP2by5r5a4ri1m3u4n8rGhqWwbG3cFYs6OB/7t2JirqhF47oHlD9Q+NFYh6Btwcax7gggXZgdfSE8IYco01NM+ek8HOQ+3ERlixW40MDXsxnpS3aeehdurbBjlnXgYJUXZiIizsqGjnV09pBtMLa6v59jUlfLSnie0H21AUFYtJ4uy5GaQlhI67EzZKTmokm/ZPnAti64EWbl5VQEvnEIIA994yB7NRoq51kI92NwblghrF7ZWJi7RR1zp+Lqn4KBv9Dg/9Dk9QTigdHZ1/ne5+Fy+uP0phVhTpCRPn2wi1GhEgIOLrnP4Iqsr0rGi+dU0JvQMeFFVl+8E2fnVCWe1pOTEcqO2mODcWUQkWSiJDzZwxO40127WHc0VR+eNLZXzl0uk0dTjYXNaCJIqcVZpGVnIEDe0DpMaHsLmslY92NwWdq7ZlgP/35C4uP2My1Y37g97rGXBjkEQkScTlkVlakkqYzUhJXjygMn9aEs2dQ/QNullYnExWSiQer8w3ry5hYMiLrChEhJhp7XZy/7N7RyqDwovrqkmNDx3jnbynqpO5hUlB+YxeWFvN5LRIrjxrMjHhFupaB6mo7WZmXnxQW/Mzo3lnS3BeyBOpqu8jMymco839gdcSou1IosiktEguXppDn8PNufOzSIy2097jZHtFG7mpEfj8CnWtgyRE2egacPGzx3YiKyrnzM1gy4FWUuJDuOuqGVjNBgTg7c3H+OUTuwJVRJOibciyivAZWR/9qsAvn9odtOav29XI9vJW7r9zEWYJKhr6+NNLZdy+eho1Tf1s2t+Cy+vntlUFPPpWxRg7yy8rPPxaOb/52sKg10/eEDwZt0fm98/vY/nsVH7x5fnYLUb6HB6au4bIz44mLzOatu4hCrKj2V3ZQXiIibNK00mKsXPdyjzsViN+WR1T7OLE7+9zuJFETbjaW9XBwqJkPt7bPO7n5xQkUlHbw1ubj3HHxdOwWgzERVqDwuNHWbUom437WxBGvO2vPzeP9h4n28rbsFuN1LUO0t3v4obzpvLax0fZUdHOnsMdXLQ4h4uX5dLQPojX7ycqzMKsqQl8tLtxwnHafrCN4slxeH0ysqxwpLGPMLuJc+dnEhlqwe31s6+qg92VHdx9VUnA5reaDXhHklrfe3MpG/Y1c6Sxj4hQM6sWZtPrcPPO5mNctjyXqVnR/PnVA0FCmt1qJC8jiiffO8y5CzKZlhNLY/sgJqNEfJSNNTsa6O53kRYfSlefi/uf2RMkrm3Y10x+djQJ0TYO1Izft/goG5GhFspru6lvH+S6c/J44l0X9a0DpCeEcVZpOn0ON4oCEaFm3t58jPKj3QB09bt4f1s9qxZlIYkC0gRpK3R0vkh85gWgzwOyovLiOi0+tnpLP2kJ4azbpd3kPT6ZD3c28uHO4zf9798wm54BFy6Pn/V7mjmrNANVVbW43JPOHRthxedX+HhfM7lpkRRkRxMfZWXA6eWRNysIDzFx782l1LX2c+/NpVQ19OH1yYTYjFyyLJdX1mt349ZuJ797bh+5qRHceF4+oTYjj75dQXyknfnTk2jvGebHf9/Od6+fTZjNxJ7DHcwtTKTP4eH6c6fyhxf3B+3KZSeH861rZnLfU7vxeGWWz0xly4EWjAYRUYCkGDuVdb1Mz439xHhdRVURR9yS5xQkjKmMdSI7KtrITArjjFlpQW7go9itRsLs5kAsd2yENSDahNiMuL0yXr9mqESEmEmItnHPjaXsreqkqr6XAaeXs+dm4Pb6eeKdSn50yxw+2t3Id6+fhV9WEQWC3Ho7eod54p1KAH52+1xCrAa+csl0BEEL1zpQ08WN5+axrCQVn19BRWXz/hbe3VrH3VfOmLCfosAnupjLipZfKTzETEyYhafeP8yZs9P52xsHxxXGYiOstHY7WTYzNVDi9mSWlqTy4Iv7mZwWiSQIfGIyCh0dnX+IX1b469uHMBsllo5U95oISRIJsRrp1QWgzxRer58Iu5nfPLM3sBM/itkksXxWGr94bCelBYncuDIPThCBzCYDly7LxT7y8JmXEUVVQy+/eHwXpfnxfPuaEoZcPpwuHxv3NbGjoo2bzi/gva3jr5HtPcOYjOKEGyR5GZHER9nZc7id+dOTeXHtEfZVd6KqmofRVy8rortvGJfHR1Sohbv/sIn8rCgWFqXwq6f3BISQE3lh7RHOmZvB39+sCLxmMgqsXjKJ6sY+uvtd5GdFY7caCQ8xkRofinskNM4x7CMiREsSPPow+o+WHllRgqqYJceGUN86SHJcCKuX5AQVhgCYlhPNrRcW8saGo8wpTOLQsR72neAdIQgQGWbmG1cWYzUbqDzWw8f7mgmzm5hbmEiIzcQr62sIs5tIjgvFIIkIqgrK6e0CJIoCR1sGx93wcbr9vLrhKJctz+X3z+/jlgsK2FLWEhQS5PLKQXlcTsQx7GPQ6SUm5HiuqFCbacJqVqIoEB9t476vLAhsuP3iiV1BXm6xEVa+dlkRhdkxOId9XH32FJ7/8Agvf6TZr1Mzo7jxvPxP7rQKlyzPJTUuFK9PISsljMP1vbT3BItGV589hTc31VJV38dlZ2jhgwBfubSIJ9+tDCQllkSBM2ansbQkhfe311E0KZZdlR3UtQ1w47lTeeHDam5ZVcC7W+t4ZX0Nhdkx3HphAQZJxCCJdPQM43T7eOytQ/zk1jkYJAmrWfpke1hREUWBmVPjefjVci47YxKby1rG3RT9eG8zC6YnsWl/C19ePY23Nh3jupV5/Ojv2ynNT2T+tCSGXD5SRzYc505LIiXWTkVtD70n5DtKjLHzzatm4PHJFE+KpbKul588siPwvjQSGeD3K0xOj0RW1HE9q554u5Kf3j6XD3c2jDuHL1ycjdvr45ZVBcSEWbDbjHz10ulsLW9j3a5GMpLCWDE7nZc+qiY9MYwlJSmcMzeDhvZBPtzZyK7KdlbOz2BhUTIez+k9/3R0/hvoAtBpgAB89ZLp/PDhbRgNIjaLIXCDFEWB2VPjKciOQVFU9lR10Dvoxm414nT5CA8xIYlagkaPV2bl/Ay+dU0JDzy/j6TYEL551QwUBe6+YgZ2mxGzUSIjMYz2nmGKJsXS1u3kvid3c9acdGRFM4hUVaHP4cHjk/nBjbPZe7gDp9tPQXY0douR+57azd1XzWBfVRcQHAf8k0d2cNcVM0iKDWHA6eHG88aKP6DtOH6wo54zZqXR1e+iIDuG+5/dy7nzM6mq76VoUhx2q4Gapj7OnpvO+9vrxx272fkJHBzxWDEbJRJGkvM1tDvGGBNur0xz5xDFk+Po6k9kR8XxMKfIUDNfvbQokGfAIAnceH4+L649QlSYBY9XRlZUjAaRmAgLP7p1Ll6/QnVjP939LmbmxVOQHc1rG46yuayVSakRxEVauWR5LgNDbkJtJu69ZQ5en4LT5eOtzbUB4yozUUuMuLFziOc+OIKsqMwtTOTKsyaz53AH3QOegBA3itevBMLLTkYUBBbNSOGjPU1j3gMoLUiks2eYxFg7gijQ2OHg3a113HR+Pn9+9UDQ4muQBO68vEjbARYFvrR6Go++VREw5o0GkavPnkJZdRcuj59rz5mCCJ+RPU4dndMTVVV5+oMj1Lc5uGKCvD8nE2o36R5An0FMIvz8tnm8vL6GDfuakRWFokmxrFqYzbNrqvD6FbYcaOGKMyeNhIIdR5ZV0hLCeG9bAwXZ0Vx2xiT2V3WwuCSVp94/zO5DHRgkkcUzUvjRLXPx+eVxyzyP0tnnIiIkOKw5PMRERKiZvVUdvL6hlh/eXMoP/rKVgaHja/qxln7W7qzn6hV5yKqKy6NVZrJbTRxp6NWql81MJS0xDKfLx6b9LTR1OGjpGiI/K5r8rGjOmZtBVJgZRdWqNv30trk4hr1sLW/F4fQyNTOa7n4XVfW9uEfat2ZHPdetzOOxtw8BUNPUP2G1S9DCVN7arG3+JMeGcNtIvpVvXFHM71/YF+SJkpsaQfHkeLr7XGQkhVPT1E/aSB6WUZaWpLKlrJVX1tdQPCmWlfMzOXSsB59fYdP+FlYtyubS5blMzYzGZBDxKwqmz4D3gWQQ2bBvfO8XgJ0VbZwxM5VQm4mwENOYfDD/KMmu13dcDBRFAbMocPacDN7bdlycDLEaOX9hFoU5Mbg9fkRBwOny8/T7VWNCHLv6XfztjYN87bIi7rh0Ot9+cPOYIh+t3UMT2kwGSSQ9MYz3t9fz/IdHCLEaWbU4mx/eVMrB2m4OHesh1G6iZHI8uyvbAx50v39+Hz++dQ5JMXbu/dsOvnvdTIY9flRFRVG1jcNH36rgwsU5+P0Km8q0675nwE33gIuocAvxUTY6eoc5WNvNwdruQJvuvXkOa3c08KNb59Dc5aSitovFM1Jo7x7mjU21447rrPwEmjuG6O53MezxUzQpNjA3osIsWmn4ATe9g272VnXwratLWFycwttbjuEY9lLXOohfVtla3srWcli1KIvu/mHSE8N49K0Kegbc3HDuVO776kJUVcFklPB4ZR58sYzVS3O0zea9wXanrKg88lYFv/jSfKIjLGzcP/515XT78Hhl7rh4Oo+8VRGYi5IosHppjlacxiTx1qZjgTxnFy3JIXokkbUkCvQPebjtokJqmvp54p1KHMNeJqdHcvtFhWzc14wkCESHW/B6x48A0NH5IqELQKcBkkGkpqmflfMyiAyzBKoBxERY+fLF09h1qJ03Nh5FErWEagVZ0SRE2YiNsnLbhYXsPdzJqkXZxEZaeWldNZGh/fzmawsRRZEn3z1E76CHm87P5+0tx5g/LYmfPLJjjML+1HuH+eFNpTz13mF8fpm7rpzB25uP8cH2egpzYjCbJF77+GjAhXaiUrLDbj/9Qx7cHj/17Q4WTE8MMhRPZNehdn5/1xK2Hmjlr6+Xc8myXCJDzfz19YNcuNjDDedO5aFXyunsHWZWXjy7D3cEHW+3GLj6rMn89NGdXLo8l6TYEPKzolFUletWTmX34Y7AbqfVbGBOQQJvbqxlw95mLlqSw49umUPPgIuk2BBCrEa2lLVgsxg4e046cwoTeX1DLX0Oj5YT4K1DLC1JIS7Sxo9vmUtPv4tfP70nKMeBySDy3etnER9lY/msNDp6hhEQsFmM/PzxnYFxiAqzcNP5+Xy8t4mq+l7uvrqEe/+2PaiKxJYDreyv7uKeG2dTkKPl39lbdTznzyvrq/neDbP42aM7g8S1lLgQzpqTzoDDTVFuLGU1wYZZmN3E8pmp/PyxnXzvhtn8/vl9XL1iCg+8sJ/wEBM/vKmULQdaae9xkpUUzoo56Qy7ffzm2b1097spzU/g+9fPQlFBkoRAcr7Wbif33FSKKAr4AYPuBKSj8y/z3o4GNpe3sXJOGsmxE4fAnkiozThhJRqd0xdFUTEKcOHiLIonxyKKAkca+rj/2b0BD1RVBcewF+tIsm9BgJbOIb775y1BOe0k8Sjfu34Wz31QFVgvZEXmw50NlFV38oMbS7FZDFjNBtwef9D6BVoRhwHn8fMJAlx/7lSG3X72Henk/92xgK3lrUFremyEla9cOp0DNV3c+7ftiKLAwqIkfnr7XJ55v4q5hYksLk5hzY4Gdq6rJjzEzNlz0pEkkbc312Iyipw9J52/vl6OY9jHgulJXLo8l+0H23ji3crA96zb3URybAhfu6yI/iEPHb3D1LUOEB1u5Qc3zmbLgVYa2ge55uwp/OjvO8aEFS2bmUJClI1vXFFMbKSN8BATP3t0J0aDSFOHI/B5k0HkzsuLae9x8tHuRobdfkqmxHHOvAy6+4epaerHajZw5uw0CnNiaO3WwrH3V3dhtxpZPiuNNSMbVm9uquW3X1/E75/fx5VnTWZyeiR+5fRPAC1AoHrqeJiMEh6fzNTMaPZVjc1FqKgqdothzPUF2oN6zEgFPEUQqO8Y4qW11axckInNYuC9bXUYDSLfvKqEF9YeCZQmN0gCP71tHtUnJAgfxW414vL4A/bIeB5sb2+u49ZVBfzmmT0BT2xJFJg1NYGV89KprOuhuXNoZK75eOb9KsqOdLFqcTZnz8ng1Y+P8v927B6Ts+qJdyr55tUzuOsKLbeRc9iHKAlEhJh4/oMj7KrsICslgqkZkew4pG06lh/tZsbkOB54fh/33lLKM+8fZmdFO4oKidF2br4gH5NR4ILF2Tz08gHKj3Zjsxg4eLSHr1xaxNZyrfz6iWQnh5OXEYlBEnnsrQq+dmkRbp9MUoyda1fmMTTso7XbSVKMnRCbkXe31jHo9PLb5/YiCgI/vX0ux1oGyc+KJtRmYuW8DKLCLDz5biXVTX185dIiIuxmXvqomuc+qCI63MrFy3Jo7xmmscOBrKis2VE/7vWiqrD9YCvnLczk/mfHJr6HkQqBqsqWA63cfeUMvH4Zv18lPMTE5rIWQqxG/t+Tu4M8y97aVMsPbpwNQHPnEF+9pIhH364IEoCr6vu4r2E3371uFgkxNkAAv+4BpKMjqKr+mHYqkWWF3t7xXV8nwmQ1sGGvdkN/c1MtZ5Wm4ZcVFhWn8OCLZWN2LFLjQ/n+9bP46aM7aes5/l1Ws4G7rpzBC2uPcPeVxfz5lXJqWwf4wQ2z+dVTuymeEodREieMay6aFEtqfChvbz7GtefksftwO1X12mIrCDBjchyLi1MIDzUjCppoNJ5r6VUrJrPtQBsXLc1GllUefKlswr7/+msL6Rlw4fMrbNjbzL4jmjFhMUn85s5FPPDCPupbB/nyxdOQJJH3ttYx5PJRNCmWZSWpvLv1GBcuyeHNjbVj+rVqURaxETbCQkwYJRGPT8ZuNdLW7eT5D4/g9vq59pw8apu13Ahmk8TktChsFgNl1Z2EhZixmAy8uPYIUzKiOG9BJqhahZLXN9SOm4cnPMTEr7+6gP4hL+09TgQEQmxGqur7ePXj46VtJVHg119biNvjp7K+l2fXjJ/87vyFWVo1uGg7ZqPE0WbN+MxICiPUasDt1eK8u/s1IcvjlXnqvUqG3X7uubGUrv5h3t+mGURFk+MozU/g728cpLlziEtGkldesCiLP75UhtsrYzKIzM5PIDLMQnp8KFMyIvnG7zeOcdm1WQz89NY5GI0GFEWhd9DNo28dorXbSU5KON+5dibSP3FrMRhEIiPt9PU5A5XDYmMnznXyz/CvzMHPE+ON6ReJz3r/D9f3cv8LZczJT2DhtMR/+riP97fQ0OHgvtvnnpIx0Ofhf5chn8Kdv90w4fsP3r0Em1nCJytIksiDL+6n4tjYIgFmo8S3rinhFyNFB0YxSCK/+uoCPD6ZYy0DhNpMGA0ir66vobZlgLhIKz+4sZQn3jlEe88waQmhnFmaRkO7g94BN/MKE6lq6NPCoEbWaUHQPBUeeqVsTAWn5NgQvrS6EIMk8sO/bhuzhiwqTubsuRkMu3yBAgmCAD+9dS4hNhN3PbBx3HE4b0EmK+dl0tzpoLPXRXS4ltvkaFM/cwoTSYy24/bKvLP1GAdqugmzmVg5P1MLp3nzIGazEbfHz9zCRC5elstfXysnPyuaVz8+CsCXVk9jc1lLoBLqKFazgV/eMZ+uvmF8foXNZa3sPNTGD28qDSTEFUWB710/K2jsL12eS1l1F4uKk5kxWfNsVv5BzptR/t05CP/aPBQE6Bz08J2Hto77/tUrJjNjchwvr6/BZjGy/iRv4+m5sZRMiQt4n5zIlWdN5syZKYB2z3p6JPGvIMDMvHiWlqSQkRjO/3ty95iKdt+5bia/eup41bjJaZFctCQHt9eP0+VjalY0VfW9PPJmxbiblD//0jz8sqIVDxEEzluYxdbyVg6PVJVdUpJCbcsAr41cCwAP3L2Yj/c08+YEXjeCAA99exlrdzXy/rY63F5Z83iblUrRpFh+++w+/LLC8pmpTE6P4s+vHsBmMfB/187kL6+WYzaKfP/G2fT0u3EMe+kf8lLd2Mf5C7LYf6STTWUtXLo8F1lWGRz2khYfQqjNxK7KDjaXtWCQRM4sTWNWXgKtXQ76HF4yk8K0qmKSyJDbx2+e3huU2zIixMz3b5zN5rIW+h1uLlqSy4trj+AY9pKdHEF8lI2BIQ+F2TG8vfUYnb3DXLwslwee38fJw7pyfiaKoiXlfuKdyqBclycyOz+BCxZm8dDLB4KeW0Y5d34mFy7O5t6/bqetx8mUjEjOmJVGiNVIbKQNn09m3Z6mQHqMUZbPSiMpxs4r62v4/g2z+eFft437/RmJYfzgxlk0dQyRFR8ybrjhRJyKeaijc7qhewCdBhgNBialR/DY21oc/Po9Tfz8S/PYfrB9XHfVpg4HZTVdGI3BrsQuj58HX9zPly+exvCIsHBWaRof7GjA6fYTFWoJSn54Mu09TqbnxgLw6sc1/N+1M3n5o2oO1/fxjcuLqWsb5K9vHMTp8hETYeHCxTnMzIsP7NCMkhoXSkdfLX986QDfv3HWhN9ntxjo6hvmN8/sHfOe2yvj88vccO5U+hwequp7ObM0neLJcVq58pYBhoa9HGns42hT/7ii1t6qTr5xRTG/eHwXfSfskk5Oj+T7N8yiu99NW7eT9h4nFyzKorKuF7fXz4HqThbNSMHl8eMY9vHVS4sIDzHx4Iv7uWhJLuEh5gmTMKfGh9Le4+K+p3YH7ULNLUzk65cX87vntd0PWVH5YEcDOSnhlJ3kPn0iew53sKwkhX6HB1lRyEmJoH9IS1a4+3AnsqLy0rrqkdxFrqDSuz99dAc/vnUOs6bGYzJKHGno4yd/3x5YwH1+GUkS6B3UQtTcXtdIuIFWPewHN85me0X7uPHaw24/z6+tJiHazvvb6jh/YRZLS1J59oMqjjYP8OqGo1yxLAflH7iC6+joHMfnl3nsvcOkxocwvyDhUx0bajMG3ed0PlvYTBKT0yKDSqCPkp0cjiDAL57UkvL+4MbZ44o/oOUNHHRqlRtHvUNFUeCbV80I8gwCzXPizsuK2HKghTNmp/PgS/u5+fx8Ovpc+P0ybd1ODtX2kJ4QGhCOwkOOl1CenhtL+dGuMeIPQEvXEG3dTg7Wdo+7hmza38Kly3J5ad3xEs5p8aH4ZIU9VR1jPg/aNT57asIYcSAxxs69N5fS3u3kl0/uprF9kPnTkrj27ClkpYTz9pZjvLulHgD/yAPqlgOt5GdFc+P5U3EM++BjzUPWZjGMEX9As69eXFtNZKg5KCR92OMP5K9RFHWMh4goCMyflkROcgRHm/uZlhU9bt9OJ1QVosMsnD0nnTU7GoLey0wKY2lJKqqiMjjkYUFR8hgB6EBNF2nxoXzv+lm8sr6GxnYH8dE2rjxzMpNSwkFR8Sjw3AdHgr5zd2UHbd1Obr+ocIz4A5qXyGii5vysaM6dn8kfXgzO2zS3IIGvX1HM75/fF+SFPJrb6nfP7ePc+RnMmBzHj/62He+IQF7bMsDuwx1csiyX5bNSA2FeNY19xEZaJxyrFaXprNlRz1ubjueV9MsKH+xooHfQzUVLsnn5oxo+2tPE9NzYQIjigy+WcdMF+cRGWHnguf1UnTDv/+/amRys7aa6qY+rz57Cgy/u167REabnxnDDefksmJ6EQRLp7h/ma7/9OMjrbdnMVK48cxK/eXbvmMIm/UMe/vDCfr5/wyw8Ppk/vbyfYy2DgXGalhvDk+9VsmhGspZcedDNs2uqxog/AO9vq+P/3TEfVYVJaRHsOzK+PZubGsHrG45y11Uz+PMrB6hv075PEGD+tCSm58bicHq4+6oZ+Pwybd3DvLjuCJ19LmwWzePuoiXZbClrxu09Psc+2t3I8lmp3H/nwnEr345S3zaI36+yq7KNScmT8f6TIqyOzueV0z8Y+QuAy+Ojb9ATuLn6ZZVBp5ddEyTcBdhe0UbBOIbEkMuHooJjxPDLz4oJGFMdvcOkxY9VskUBls9K5auXFpGdHM49N83mq5cUISKwekkuD969hD1VHby+4SjOEeOpu9/NI29WIIoCMybHBc6VmRTG4LAXl8ePX1Zo7RwiP3N8g+fiZZPGGA6jhFiN9Ds8mE0G9ld10NI1RGfvMEkxdlRVq0yyYX8Ld1w8nbW7xq+KcPmZk/j5SeIPwJGGPtbubEAQIDHGxl1XzmDP4Q427G3ipXXVZCSHc+dvN/CtBzfzk0d28O0/buZr92/gsjMmYzSInxjfvnpJDj9/fOcYF+TtB9to6nQwLScm8FpD+yC5qRHYPsHV2mYx0NXvIjLMQnS4lWMtAzz2diV3/X4TRxr6cHn8DAx5aepwBIk/oIlMsqLywtpqnnrvMDsPtQct4FMzoznWMkBshC2QyHCUuEgrGQmhHPgEcaqpw0FcpBVFhTc3HSM6wkJshGYord/dhNuviz86Op+Gj/a20OfwcObM1KBktf8MFqOEz6+MeQDV+WwgoXL3lcWknVTtLSUuhLuvmsG9f9sWyBv3j3KsSKLAbRcVkpkUBsDsqVquvL0nhes4XT5+//w+Llk2ieqGPm5dVcCa7fU0dTiIDLOQmxrJdefmsaAoma0HWtlT1cG8E7zS8rOi2XN4bAjQKBv2NRMZapnwfa9fZmZePNetzGNabgwmo4TXJzPsHt+LYNUiLS/SyeKAxyvT2uXkZ4/t5FjLAH5ZZeP+Fn79zF5+9uguzi7NGPd8a7bXU1Hbi8VkICUuhMlpkYHKQeOx53A7+dnB9ozNbAh4E2hFLILnbUF2DLUt/disRqLDLJhMnw2zW1RVLlmaw6++Mp+lJSnMLUzke9fP4ke3zMEsgUFQuevKGViMEqX5Y8Xq7RWtZCeH851rSnjw7sX88IbZTE2LwCAKKIKA2+untCAhUC32RMarpgWws6Kd5bPSALh4aQ6/f37fWFurop3GdkdgM3OUiFAzfYNuXB4/dquJv79ZERB/TuS1j2tYMF1Lui+JAtNzY8nLiJrwfry0JJX3ttaP+97uyg6mnmD/PvTKAa45O4/vXT+LKRmR7KlsR4Ag8cdmMeD3K4iCwBmz03ng+X1B4g/AgZpuPthej81ioKN3mHv/Njbkcf2eJnZXdU4YytfSNcSw24+iqHzj8hn87La53HtzKVnJ4fzm6T3kZ0Wzt6qT6HALcZG2CSuoqSq0dDl5/J1DnDs/i/GGKdRmpGRKHPVtg+w93MHFS3P44U2lfOe6mfzwplKiwy386qndqAi8uamWo80D/PHlssB1MOz28+amYzz57mF+87VFmI1S0Pk37mthYMhLmN089stHkESt/p6W53TCj+nofGHQPYBOA3x+BaMh2Ciwmg1jXjsRoySOu6sGmviTGh8FEHAD9SCz53AH994yh3W7mwIPCaIAd15eTGVdLz/++3b8soogQMmUOFbOy+Rvbxzke9fPmrCs+BsbjvKVS4soq+liTn4CZ5amc/8zx110tx5o5etXzuD5D6rYWt6KX1aPJ/fLjmbtzoZxz7tyfibvbKmjrKaLe28uxSCJ7K5sZ1dlB0mxIVy1YjI2ixFJEhgcJ8eQzaJd2v0T7IhvKW9jxdxMHnxxP26vnzNnp3PViimkxIfwnT9uGeM+7PHJPPTKAX50yxwa2wfHrZSSkRhGXevguNVOAD7Y0cCN5+UHDMzEaDvNnQ6Wz0odk99olKUzUqms6yE3NWKkWsRx1+TtB9u46xOqgWUkhhETbsU8Eq9/IrOmxtPSNUR8lI2ocLOWQHbAHQj1u3VVAWajRFJsCI0dDuYUJGA1G6lrHQi0PyHGTu/g8fH9cGcDi2ek8Mr6Grx+RRtD6dM9xOrofFHxywof7GqkICs6kNjy02A2aUaxy+PH8gmiss7piaqCSRT44Y2zGXB66eodJmYkV83f3zhIn+P4Ojfs8QUSuo5HeIiZP79ygGtX5rHlQCsLipJ46OUD437W7ZWpbenH4fLSP+Rh2cw03tp8LBAGYzUbuP/OhYGErxW13Vx51mReWHsEWR5ru5yI0SDhV1SmZERyVmk6NrMRQYDKuh6m5cZSVt3Fx3ubURSVOYWJTMuJwWQQKZkcz+sbxobcZCaF88w44dJnlabxyvqacT0UWrqGaOxwMGtqPLsrg9fZQaeXokmxbC1v5bYLCzlc3zuhzTDanxO9WosmxVJ9Qhj88pmpbD94vLhEaX4CITYjW8vb2FXZwf13LmTYJRP8+Hr6IqoqcWFmbjo3D1XV7MXwcCt9fU5UVRMtc5LCSLsgnzNmpfHO1jrcHj/zpydRmp+AARUVEEQBj19BQeTQsR7e3nKMYbef6bmx/OiWOTzyVgWN7Zqo1zPgntDjZt3uRu68vJj0+FAa2j7J1qrn5gsKgryrZ+bFEzOyQZUUYx+3whlolVpbOoeIi7SyYk4GA0Neapr6uOPiafzl1fIg23BqZhQqfKLo7hj2BmywwpwYTEYRRVFZNjON5Fj7mJxGFpMBx7CXlu4hQu2mcfMogVbF64KFWVQc654wJ+frG46yeknOuKkaAHoGXNz31B7C7CauXjGFY60DfLS7iWUzU5iZl8D9z+wh/YZZhNpM4x4fGDNFpaN3mHW7G7n7qhKe/eB4ou6pmVFctnwSL66t5muXFmEwiIFnjZMRgDmFifzt9YPjfs+uQ+2sXpLDzefn8+fXygOvL5+VSnlNFyV58WOq7Y4ypyBRy/mUl4DPp3v/6OjoVuJpgNkoEWY3BT2ot3QOsWRGCk+NVKU6mQXTk8Y1hEC74TqcXjISw9hd2cHComTe316PrKi89vFRvnnVDB575xBdfS4Wz0ilqr6XD08QYlQV9hzuxDHs41tXz6C2eWDCtjvdfmLCLfzu64v4cGcD9z25O9CHMLuJm1cV0DvgIj7azrevmYmqQnKsnY/3NvHLJ3bxjStn8PyHVYFcQyaDyNlzM4gMNQfyDDy7porFM5J5c9Mx5hQksKAomb++ruWxWVyczNSs6DExxfYRD6KJUBQVs1EkIdpGc+cQ1Y195GVEMuDwThjD3NE7HAizumRZbqBi2ChhISb6HRMnYR10egO7MYKg5UD49TN7ue8ObYft5DC2kilx2KwGMmzh9A64AzkKRnF7ZTp6h5mWG0N5TfCupSjAZWdM4rkPqvjZ7XN5f0c9B492E2I1sWxmKnarkU37W7jp/HxcHh+/+PI83B4tB5AkiXT1u3AMe7loSTaz8xP4YEc9jR0OpmZGs3pJDo+8VcHZczJ46r1Kzp2fSUF2NEZJO/a9bXVEhJgxGUQ9E7SOzj9JWU03A04vJZNi//GHx8FkGBGAvDKRp7JhOv81VFVFAqJsRqLtEaiqik9V2X2Cl01ybAiDQx5uWVUQlA9llIVFyVTUdtPV7+KBF/bzw5tK8frkcRPjjtIz4KauZYAlM1L48yvlQaHiLo+f5z6o4tJluUzLjcEvK4RaTTxw1xIa2gc5Y5aJv7WMbyOcMSsVRYWkaDtPv3eYPocHSRT46e3z+MurB2juPB5K/drHR9lW3sqPbp5Dr8PN1KxoKk8KxZrogT89IYwX1laP+x5oIUnZyRFjBKC8zCg+2NHAhzsbeG9rHSvmpLOkJGXCqqMLi5LYVdmOIGjizhmz0/jN03sxSAJnlqYzrzCRB1/aT2ZSGMtnpmExS+w42EZWUjhHm/t5+aMabjp/6j+dA+h0QFXBN9JewzhinyIrGIDcpFC+ftl01BHbyuVV8KmanfLw6+XMK0xiV2UHB04oTPHhzga2lrfynWtn8osnduHxyoiiQGyElbhI6xhPIFWFwSEPM/PiJ/T8Bi2Jc2ZSOFevmIKKSk5KBAdquhga1oTTf9hnVExGkamZUXT1D2OzGNlc1sIPbpxN74Abp9tHfLRdq7Y1gbfaKInRduYUJmIyihRmx/DtBzcHBBubxcDXLisK+vzAkIfMpDDW72kiMdo+4Xk9PpmeQTc944RfjtLTr1X1Gw9JFEiKDcFikhh0evnLa+X8/EvzWLUom6aOQX799G78skp9m4Mwu4ns5HBqx5nnBkkkKszCwJCX7Qfb8Hpl7r5yBj0DbkRRoLa5n9+/sI+BIS+VdT3cc1PpuOJPbmoE/UMe7GbDmKrBJ1LfNkBUmIVQm5b4e0lJKufMzaC6sY+BITe3rCrk728eDDI9E6PtWqVjWcFiluAzmBtQR+dUowtApwF+RcVslvjyxdP4w4v7UVV4dcNRfnDDbLYdbBuTt6c0P4Hk2JBxd/9m5yfQ3e/iwZfKuPuqGTzzfhVnz0mnrKaLtm4nB2q66HO4uWz5JOKjbESGmrnrgU3jtqux3YHPP3LD/AQGnF7e3FjLrRcWEhFqpqN3mPSEMNISQrFbjPz66T185dIinny3kmMtA1hMEr//xmKyUyLYe7idq1ZMwWyU6B10I4kiWw60BEq1glba9eKluYTajJw5O51fPL4zoPBvLW/jhzeXsqWsJcjLpd/h+cTF02YxYLMYmD8tidy0SPodbuKj7IG45IlwuvwMDHnIz4ri61cU8/qGozR3OIiPtnPW7DRUBNhSN+6xKXEhdPe7sJoN3HjeVDbsayYhykb/kIfs5HAWz0hh/5FO3F6ZotxYugdcvLS2mh/cNJuWLue4WspT7x3m7qtmMD0nlre3HGPQ6WVKupYY8aPdTeyoaGPP4Q5+ecd8LlqcgyQK+PwKwx4/Fy7KIirMwpHGPsqP9lA6NYGufhd/fKmMQaeXCxZmcbC2J1BJDbSKCmt3NvDjW+dysLaLL188nXe31vGbp7UHkZK8eL5z3SwMooBJFP5hqIKOjo7GxgOtJMfYA2GUn5aAB9AEO8Y6ny1EEURRQpVV7FYjJoPIbRcW0jvo5lBdDyE2Ez+5dQ7PrKmitrmf6HArZ8/NICLUzEMvlwHaRseGvU1cdsYkYiIs4+bqAUiNDyFypMLYqL1hNkksLk5mcnoUuSkRdA+4+NNLZQGPBFGE1UtyWTwjmcnpkRxpCPZkmDEljpzUCI61DLCjoo2ocAv9Qx4yk8Kpqu8NEn9Gae8ZZkt5K4U50dx+USEb9jazfk8jjmEfBVnRJMbYA/l2TsTtlQmxGifcvIkKs9LSFRw2ZpBELl02iZ88uiNwjjc3HcNs1PKNnCwwxEfZWL00F4fTyxVnTsJiMuDxyvzw5lJA816obxvkllWFNLY5+HBnA40dDlYtysZg0Dxh9xzu4OoVUzCO28rPHqIoIEmaR4uqajmQFBUGXH7ae5xEhVl44IX99A66WTnPHCT+jOJ0+Vizo54lM1L4YEcDFy/N5oUPj/CVS4sCBStGWThdyxXz00d2cM05eRO2KynGTkVtN1sOtCAIAi+urUZWVOKjbPzwplKONPaRkRg2rr0nCDAlI4pJqZFUN/VxtHmA5TNT6exz8dvn9nH3lcVkJIVxz8PbmJ4by7ScGAqyoqkYESvNRokFRcmBilxDw17OmZuO2Wjgm3/YGOSdMuz2I8tapavRynqyomK1GEmIthH3CbmHIkLNyLJKxkiY53hkJUcgTuCgd1ZpOjsq2rjmnDweeVPLP/rsmqqRkutmiifHsbuyg1fX1/C9G2Zx4/n5/OLxXUFCsiDAjedNDVS9A5iWG8MfXyqjcZwcTo5hH43tDlLjQ4PCOG0WA3dcPJ3H3q7gllWFE/YHwGo2UtPUzy++PJ+O3mF2V7Zz9wMbyUgK546Lp7O1vI17b57DwdpuBoY0e9hqNlBZ18PSGSn4ZPVzM/90dP4ddAHoNMDnU2hsc5CbFsH9dy7igx0NdPUP0zfk4dYLC2jvcbKlrDWQ7b9/yMP+I53csqqANzYepbvfHShLeubsNL7zp80Me2R+99w+rloxGYvZwHevm0lt8wBby1uxjogf1SOL4ETuq5GhZho7HIRYTUEJJU9kamYUw24fK+amYzaJTEqLxD4S6+72+OnoG9YWzmf38uXV04gOt9DRN8yg00NqfKjWpgOtRIdbghICnohBEjCbJJbNTOOdLceCFlC/rPDcmiq+c91MXl1fw6G6XgQBCrKjiY+2MSk1IshFe5QLF2XjcPr486uaG2luagS3XViI1WzAIInjjondaiQp1s7rG49SmB1NXnoUaZcXo6oqje0OXll/lOtX5k3omn/N2VOIibDx9cuLaOtxcvGSHIY9fhRVpSA7BkVRWDwjhWfer+LPr5WTnxnNly6eRu+AmxDL+FPVLyv8+uk9PPTtpYEElg1tDh565UDAA8rrV6is62VKehQ7D7VxpKGPq8+ZgsVioGfAxcsf1XDnZUU43T5+++xe3F4ZSRQomhQbqG5yIo5hHy98eIQrV0zmR3/bHhSfvruyg8q6Xn5750JkPReJjs4/xeCwl8P1vSwvSf2Xz2EaKQrg9uoC0ESM5vH4NBVg/tuIooBHVjlU10d92yBZyeH85NY5eLwyD75UFsjFsa28jdhIK9+9bhYDQx46+1ys39M0JqSkrnWQzr5hLls+KbDenUhijJ2YcCvVDX0ICPzoljn0DbrISo6gsq6XF9Yd4Yc3lvLLJ4JLYCsKvLK+hpgIC5cuz6Vv0MOuynYkUWBJSap2/x8Z5oykMEJsJq49Ow+310+fw8PVK6ZQWddDWU1X0ObGtvJW4iKsVNb30tE7zHUrpwYKP3y8t4nFxcljvGU3l7WwYk76GC9ZGE0ym8jTa/oD4SGT0yK5ZHkuW8tb+f/snXVgXGXe/T/jFpm4S+NJI402dYMqtJS2ULS4L7rLssbuAgssvgsLLItD0aIVCnVvk0Ybd3efjNvvj0mnnSbp+vuW35vzF0zvvbn3ztz7PM/5nu85s5KDXBQ/n+2p4epl8fzhzjl8f7wJrd7MzORAkiJ9+HBnJYeLzxjNpsf5cdPq6bR0avD2lBMZ7MGozsyOo41O78Gkad58PxaPrZCJEQhw3pcfKwQCsCCgvWeUsvp+p9/Oh2P+TEG+Kq5YEosduG9jOmaLlf2TpM8C5JV38+ubcvDxlJOTFERz1yit3SPcdlkKduxotGZn1Ptnu2voHtTj763ET60YF4cOsG5xLN8cqB9HQvh5KRAKIS7Mk6j1afzytSPjVGXrF8dS1TRAUXUPmYkBHCnpYGlOOLeuSaa4tpfatmFmxPpx6bwoJGIhv/vbce7bmM7IN2WIRAJuvGQ6u/JaeGdbBTKJiItywslNDqSoumfC1qRPd9fwi03ZPPVePsOjJtTuMmpbBpmbFoJKIRlHlpzGxovj8fKU4eel5Au3unFGzwCXLYjGYLKxcWk8O8Zi3z1UUtYujEEpF/PaF6X8YlO2s/uguWsEuVTEMx+c5LqViegNFlq6NQyOGFG7SXn89lkUVfdS0dRPkI+KWSlBDq+hsywM/L2VE5I/p1HdMsgvb8jm6/319A7pSZzmTXqcH609I9xxeSrYHa2VE4WjnCbCbXY7ErGQ5z4scBZ+G9qHKantYenMCJ545wQRgR4o5RI+21NDqJ87N61Owma3o9dZCFTLMZ5HETmFKfxfwBQBdAFAIhHg4ynncFE7KTF+DI8a8VMr6RjzaCmt7SUi2IOF6aE89V4e7b2OdqfYMDVXXhTPtGAPBkaM7Mlvob1Pi85oJSLQnY0Xx2MwWSlv6CfE3w2xSMj6JbG0dWuQikVkJPgjFAgm7Zkd0Zrw91Ly/o5KfnLFDF74yNVwz89Lwd3r0zCarew92cpnu2tRyMSsmhOJh0pKdfMAOdODEIsEjGhNDiLq1SMIBQIsVhtXLIkl1N8Nf28Fanc5H/9QPaHKJTclCJVcTFy4mt154z2DqlsG+fNnxWxamcitl6UwqDFS0zqIRmfm6uUJfH+82WGAbLOjkIm5fFEMCqmY4bMILZlEhLtKgt5o5oqLYicko65ZlsC728q5fkUiBrONj785xeKsMCxWOzqDhbvWp+HlJuV3t+byxlenOFXvqAip3WRsWBJLReMAVlsfEYEexIV78cyHBc40MX8vBTdcMp2YUE+WzYpgqc2h2nr6vXzmpAWzYXHshL5D4EiIAYfB4GRwU0iw2+3EhKnxVSt4/YtSmrs0xIapuWtdKiqlhK5WLYYxqfe0YE8qmyZOmQEoqOpm3eLYceaE4Kjo7clv4ZLZkVinpLZTmMLfRWFNL3YgPszzXz6GbKwFTDc1sR0Hu0CAwWKjtmkQoQBiQtXIJcKJB77/RYhEAvpHzfzmr0ddvD9Wzo50tvyejd5BPTuONmI0W12IibPh7+1oc/ZTK9m0Kokv99Wi0Zkdfm9x/ly2MJon3s5zLiAVMjGPbMrmw52VyKViHr0pl6Lq7kkLRVv21rJhSRxf7a/j1suScVNIee7DAh69eSbPbS5waRsRCuCeK2bQM6CnoKqbjAR/Vs+P5rUvSpztPmKREJ3RQqi/G98fb3ZZCAqFAu7fmI5cKmZPfgsmiw2xSIivWs5FOeFUNw86lRin/95PrpiBVCJkXloIS7LCsdsdAQavf1mKzWbniovixl1TYWUPM+L8CfV3x2qzoTNYGNWbaTrHN6aoppe3vy0nOdqHZzc70kxjw9TctzGdN746RZCvis7+M+PqoswwZBIR1h85Sau32Pndm8fp6NMyI84PTzeZS+R7Q/swT79/kg1LYuns1xLu745YNLlXlFgkIMRXRVSgO0M6MwJg57FmvNzlLMkOo3dIz+adVdy6JpmqMaXZjqONPLIpm3e3VXCq3tECr3aTceXFcUQEuI8jhvy8FFy9LIE/fVLENcsT2X64gUdvnsmR0g6qmgbx8pCxbGYkvmo5TZ0jTI/yJSZUzaZVibz+ZSm3rEkmNkyNSChAJRcT7KviT58WA/D85gI2rUoiJlTNI3857JynafVmPttdw8nKLm66NNnlfERCAZmJ/izOCsfLXcbtl6U45pJGMx4qKc98cJL56aE8fF0m7++o5GRlN3a7Yy532YJoNFoT9z1/gDlpQfz+tlxe//KUc87m7SHnxkuTKK3r5YcTLaTG+nLTpdORSUV4qGRUN/fz2hgZ3NGnxdtTTmefFn8vJTqjhZvXJNPcMcya+dFIJELe/KbMqcSaHuVDqL8bCzNCsdrs48jY4VETfl4Keicx8g7wUoIdLl8Uw96TrZQ39LN5ZxUyqYhfbsrmw++quHZlIp19Wpf3nUwq4t4rZvD5nlpuXZNMUVUPz947j64+HYOjBsL83ZFJRZhMVn6yIR290YLeaGHdohjMFhutXRpiwtTUtvYR5hc6RQBN4f88pgigCwBGk43GjhH2FzoIoIKqHnJTAhnVmfnb13mAo33IQyl1kj/gaI2qbR1C7Sbj1zflsGJ2JB5KKeGB7ly/MomXPnFND4gK8eTBqzJ4e2sFeqOFX2zKxmK1MXN6EMfKOsedl4dKiqebjOFRI5/truHBqzPoGXAoesID3QnyUWGx2hgeNTI0anRWKWpaBslODOCm1dP59mA982aEUtU0QGu3xiERHit/7cpr4Tc3zySvvAupRMTNq5OdUtTTCPBWclF2OH/8IJ9Hrs/By0OO1jBeOj6kMVLdMkRZfT+r5kwj1M+NFz8qZERrYkl2GL/YlI3Vasdmt+PlLuVv35Rzw6ok1i6MJi7cC7lUxA/HW/hyfx0blsRy/8Z0dhxtoqtfS3igO5fOjaKoppfSun4uWxDDW9+WE+Sr4rtjTTR3OkyhNd+bePKuuWzeWUV6vD9rFsRgsdgwmq18f7yJisYBIgI9WDFrGg++dMAlgaJnUM9zmwt44o7ZlNX2sfWstiubzSEtv/eKGTy3ucDF8M9dKeH6VUmU1PWRNM2bisbxpI1AAOGB7rR2j6KQiRnVmZ2JYW4KCVKJiHe3VbgkxAkE57fvsdk5r6dEfmUPS3PCfzRml1OYwv8mTlb1EB7gjlL+r4vTT7eAGYw/Hn+R/wnYBAK+P9HC53trnZ8JBbBpVRJzU4IQXEA+ZUYrPPV+/jjj1+RoX174qHDCfY6WdvKrG3MmJYCWz4rg1S0l3LkujaLqHm5bm4JEJMLHU055Yz9PvZfvkiCpN1p46eNCNq1K4qVPijCarXifx5S8b8iAp0rG6nnRWCx2/vJ5CQszQtl5vHmcZ4jNDi9/VsyjN+fy9cE6Wro1HCxq594rZ/D4Wyew2uwsyQqjqnmA1fOjkYqFLuOkzWbnpY8LeeT6bGYmByIbSw07UNTOgy8d5K51qWxcGk9ZQz8eSinJ0T7Y7XZe//IURRMoCqJCPMe1jXmopNyxLhWNzoyfWoFSLkZrMPPWN6e49bIUnnwnz6XdvKiml0vnRTn/v7Z1iBc/LuTRm3Np7dbwylg7XnSoJwkRXhjN1h/1xFtvMPPe9ko6xkx+l82M4OWxazwXX+2v5xebsnn2w5P87Nostk7SHr8wMxSj2cbQqIlfvHrESTa29Yxyqr6PS+dFsTw3Ao3eTGSQBxfnhBMZ7IFMLCI1xpfV86OwWu2YzFZ2Hm/i+KkOnr9vPjUtg3T2a5kW7ImnSspzmwu4Ykkcb3x9iq5+HW29o9y6JgW1m2xM/S3gN3895jK3SY724bqVSTz+9gmSo325emk87b2jLjYFI1oTFY0DFNf0TjgvamgfGSuoOnyNMuL9WT0/CrFISGltL23dGj7cWYVKLkalkHDH5akIhQL2F7ZxoryLi3PC+e0tuSikjlTY3fktTmL0SEknbd1afnFDNlq9GeMYUdzRO0pmQgBd/TqaOkbYbmhk+axI2rpH2fz9Gf9QTzepM9131ZxIFFIxn+2uIDsxgGA/FZ/sqnZpwytv6Ke8oZ89+a38+aGFzE4N4mjpmfXDnvwWVs+L4q1vzxCCpyERC8lM9AehnZ5BPZFBHgT7ubF6XhQDIwa+P95MbdsQL31cyE2rp2Ox2GnqHMFPrSA11pe/bCkhNzkQN4WEN78tQyYV8/jts4gMcuO7Y800dAyTNM2Hj3+oxl0pQSkXc+Ml0wnydUPtJkWAIynZfgG986cwhf8t/JjHof9vYDBa6B/WsyQ7DLlMxKo5kaTF+vHku3nObfzUCqda5FwkRHrT2j3KG1+fYs38KG4Ym7idq85oaB/mw++rWJwVxr6CVmx2OyF+bqxbHIPWYHaJPw3xc+O+K9N5f3sF916ZzqtflPCHd/II9FGOkUIGlHIxv/nrUQQCWLcolvWLY9lX0MrirDB8PRXoDBYqmwa4amkCUrFwXExlfIQ3hVW95CYHcf+LB/jjPXN59OaZFFX3MqI1kjjNBw+VlJc+KWJIY0RrMDuTySZCTlIAT76bx+WLYvjb12UE+CgRi4TsONrEjqNNgMNYOSLQnauXxfPV/jp0RgvfH2/mVzfk8OV+h3z88z21+HspWJwVhpdHGCazjf5hPTuPNbFydiRisZCLc8KpbRsi0EfNukWx7Mprpqy+H6PJwmULohnVmQE7hdXd7M5rcRaaF2QE88OJ5gnjR202O9sPN7JmfpQLAbQgPQS5TER10wAvPrCA42VdtPVoiAxy+Cy9+U0ZI1ojD2zM4NkPT45bPNx4yXTae0d5Z1s5I1oTsWFqblo9nWOnOrk4J5zH3jqBQiZmblqwc5+mzpEJK6OnkRbrR+/gxLGgAO5KqSPe9QKrsE9hChcadAYzVS1DLE4P+beOIxIKEAkF6H/k6oL/JIRCAS09WhfyBxyvpXe2VZAQ4Y2/h/SC8aofNZjpHdQjFArISQogNcYPm92RnDmZAkdvtNA3pOf2tSm8u63CSU5IxEKuXpaAm0LCgowwmjqGCfJV8dcvTxHs58ZVS+N5d1vFhMcc1BhRyMQIhQI6eh0qj8kwNy2YIF8lancpCpmYtt5RHpoRwsOvHJpwe7vdodqNCvGkvm2YgREDx091kjM9kP5hPUlRPgT6qPjkh2oevDqTV78ocbafCwVw8cwIR1S21Y7ZYuO3fzvuPPbzHxWilIsJ83fHjp2oYA/0JsuE5A/AmvlRBHiruHxRDH1DeqJCPAnxc8NssfHYW8ed7UG+ajl3rUuju3+Un16bSc+AjuLaXgoqu7HZwWR2/W6GR020dI/QN2RgbloIabF+2LGz7XAj916RBj9ib7xhrcmlYCgQCFwIxNMQiwREBLkjFgmw2+3UtQ2xdGY4P5xw9VbyUyu4ZG4UQoGAv2wpmfB3vu1wA4/enEtH7yjrl8TywY5KPt1dQ0yoJ7dfnsq3B+udJMSslGCW5Ybzh3fysNnseLpLSYvx44m3T6A1WPD2lNPVr0MsEhAX7o2PWkFnv5bIIE+eePvEuMTUsvp+IgI9eOjqTJq7HO2U04I96eh1DR5JmubtooI6F0dKOshJCqSyeYBFWaF8vruG1Fg/RnQmp/+P1mBBa3DMSa9fmcTbW8vRGy18e6iBAG8l2480Oom3s9HcNUJ18yB1bYP4qRUE+7nx5f5OvjvazM1rpiOXimloH3a0z52lqlHJxY6ioN7MmjFPSIvVxi2rk9EbLYhFQgrOMqA/GxarjarmAdYtimHZzAgOFndgt9vJTgogItCD7gEdO440OqeA7koJ91+VgUoupqNPx3NnzVWFQgHrFsUQE6bm6KlOBjVGnt9ciNpdRoC3krwKE3KZiGuXJ3K0tIP+EQMxYY6og4PF7SyfFcm8GSEszg7lD+/kAw6rArvdkYh4qq4XodBBPuUmB2GY8smbwhSmCKALAWKxkPQ4fzzdZLzwcQGrZkdhMFldnPJ7h/Skx/u77OehkjJ/RjCLs8P5cm8dZouVPfmtJER6T+qin1fWySObcgjxd0MmFiKXijhZ2ccdl6fS1a9lUGPEQyXFZrPTP6Ln6uUJWCw2fn3jTAwmCxqdGaEAqpsHeX5zoVONcrqPOS7ci6/219HeO0qovxtXLU2gvKEfH7WC9Hg/l8qDQiaisXOIQF8lAIMjRp7bfJLkaF8UMjHfHKh3SffS6s2E+ruxODOUvWfJTkVCR9/1oeIOvDzk2IHb1qZQ2zqIj6eCQB8ln++upaVbwzXLE1HKhPz1qzKKanqRioWsmR89jlzrGdQ7U0XCAtx58Kp0fn1TDoHeKh594xgDI2c8fr49WM+9V6azel4072wrd5phioQClmSH8ZMr0vnzZw5z75RoP97a6qpyOhsNHcNOnwpwEC1mi5UgXyWpcf5IRCLmpgVS26rgq/31LiaG72wr51c3zaSsvo/Suj683GVcMjeK+rZhXvy4yLldbesQz3xwkp9f71BFnZbKymVip1Go2WKjrnWIBekhHChqdzlHuVTETZcmMTxBz/lprJkfhRCYagCbwhTOj9KGfmw2OzEh/3r7FzgWYjKJ6LzKvP9rsAJf7Kud9N+/PdTArZcmYb9A/MpMZpuztTqvvIsv9tUiFAi4ZU0y06O8KW+YuC1XJhGRV97Fo7fMdPobWW12vjvaxPs7KkiL9WP1vCjmpKmYnRLEqfq+88a3g8MUWSwU0N7raB8726j2NGanBDE/PYRH3zjG8KiJ+66cwSPXZ2Gz2ccVfM7GqM6EQuqYfsaEqvFWK7h0XhRymRiD0YKnm5QFGaGU1fdx57pUPJRSeof0eLrJyK/s5jdvHMPHQ86mVUnjjq0zWKge80ESCoWIRULuWpfK61+dcvF+WpwVhkQsQmcw09gxgkIqYt/JVpq7NCydGU5GvD8nyrsAh8rppU+K+OUNOTy/uQCb3U5uchCP3pLLy58VO/23zkZ5/QBrFkSzeWcVH3xXycCIgSfvnI1QIPhRjIsisRCzxe4wI+eMb5bFanO5jyKRYNy+axdGkxLtS1XTIPXtwzx8XTbljf0syAhl5vRAfjjRgs5gYUacH5FB7gyPGtEbrZOGcNjt0DOoIy5Mzc//cthJKtS1DfOb14+ybnEsV14cjwD47mgTf3gnz9l219mvZVhrdJINVqudUH83brsshYPF7Tz25nGCfVUo5ZJx5A84TI0zE/wZHDFgsdoRCoXYcXhnnX2+FosNmUTkVNOcC5lUxPJZEWQlBvDSJ0VctSyeT3fVsHRmON4eCo6dOkOqnSjvwkMl5dc35XCkpIPeQT3RoeoJyZ/TqGoaoL1vlK2HGnFXSnjo6kz+/FkxL39azCObssmr6BpH/vz6ppmM6kz85qaZKOVivtpfz4nyTichnpUYwE+vzeSZD0467+fZ0OjMvPxZCWp3KZctiEEpk9DQMcST7+axICOEl3+6mM5+h/Lcy11Od5+WvmEDT7x9wkXJbrPZ+XxPLXeuSyXU3xFwMyctGB8POT2Depo6OhgaNbLjSBMNHcMo5WJWzY3E11NBe88oT72bz4jWSHKULw9szOCDnZWU1fezYlYknm5S3t5Wgc1m54nAWQR6qxCJBFinhLJT+D+OKQLoAoCHUsrJim4CfFQ0tI/w1tYy7lqX5rJNW88owX4qlHIxOoOjrzUqxJO9J1t5+bNiokPV/ObmXL4/3kzPwOTKDJsdfDzlhAW4YbPbqW8fpntQR337kHOguW5lIkXVPZyq70cpF7MgPZS4cCnfHqzHy0PO9iONE1ZMvzlYT9I0H2cfckXjABWNA9x4SRIltX34eMi47bJkSuv6KKjqob59mIuyw50TQavNhkwqntD8DRyE17HSTtYuimFeeiiNHcPIJCKCfFX8cKKF42Wd/OSKGXywo9I5cQPHwPvI9dmo5GJe/qyIu9ensWlVIjdcMp2eQS2n6von9c3ITgxgQWYoz3xQQG5KINsPN7qQP6fvqc1m5+XPil2IJKvNzg8nWlDIxMxKDkIqdRjtBXornbH358LPS4HZYiMmVM2y3AjU7jKe+eAkv7slF4EATCYr7X2j+KkV3HZZMn/96hTNXRqEAseExGq1IQBuunQ64JC7TqSYstvhw+8quXv9md/Zu9vKufeKdD7ZVU1F4wCf7anhjstTyZ7uuO4RrYkZsX6smhuJUixEJROzdGYEP5xw9WW6KDucyED3C9podQpTuFBQVNNHoLcCD5X03z6WgwCamtmehs0GAyOTE9V9w3qsNjvjl7D/O/BUSbl7fRovf1bsEiTw2pel3H9lOtXNeeMUEmmxvnh5yFm3OJbBEQP+3kqaOkfQGSwsnxWJTCriaGknN1ySxHObC2gYa8uKDXO0Pk+0sBMKHOdyWqn67rZyfn/bLP7yeQm1Y6EKfmoFly2M5pFXHAvy2alBuCmleLnLGNEaJ42NBogL96KgsodHrs+mvXfUkVZZ0c28GcH4eCr4y+fF2IFVc6bhppCw+YcqmjpGMJisznFFozNPGEt+9jVIJULsdhHpcf48eeds6lqHMVttRAS6c6q+j2c/PEnSNB9mxPmxeeeZ4tTAiBHPc+KzR7Qm2ntHMVttDGmMbD/SSF55Fw9dk0nJOXOWqBBPFmWFYjRZmJsWjJtCTEZCAL5eCsxW2wXdGi0SCTBYYFdeKyfKu1DKxKyeH0VUkCNtSiETu0S0D44YCPBWOsmF61Yk0j2gGxcgcVFOOHKpw8fQXSXFR63geFkn3QNadAYL82acXwGpkIr5fF/tOFGxwWRl884qooI96R3Sse0s9fRpNHWMkBjpTWXTAGp3CQ9fl0VXn5bUaF8GRwzYrHY8lFIeuT4bpVwM2DEYrUgkIiQiIY+9fQLTWeRQVoI/1yxL4A9nqfSPl3UyPz2Erw/UT3j+2UkBPPrGcX5+XRZDo0bclVKGNAZaujWsXRDDlj01LsrwXXktHCxu5zc35aCUS5zE6Lkk7Gn4eSmoaHT4X2l0Zj7ZVc2dl6dgsdmdqh5wqLu9PeTY7Y6iYUuXhmW5kXQP6Dh+jhXEycpuTGYraxfG8PEP430xEyO9+Wp/HU2dIxTX9LnuW9FNVmIAAd5K9he0UVjdg4dKyopZkVy7IpH3d1SMW0fsONLItcsTEImE7D3ZSl3rEGEB7vz8+iwUcjGf73GQ+RarDewCvj3Y4DLXP1LawYnyLn51QzZKmZiMRH8Kq3ud74wte+u4bU0ynio5pvMQ1FOYwv8FTBFAFwB0RgvNXRq6xwZUncGCXCZCIha6JBRs3lnFQ1dnUlrbi0Ag4NkPC5z/1tgxwsHCNp68cw7m81QzVQoJGp2Jh/50EIHAoTC56dLpvP1tOTdemsSI1sSzHxa4KIjK6vuZNyOY+emh7DjaNKlcvqtfx+zU4HGff7Krhj/eM5fDxR3Utw/h76Uci7jvYFqwh9NTaFdeC+sWxfD+jspxx1ic6fAF2HGsicrmAa5b4SCpusc8icQiIVcsiUUiFroMCABGk5XnNhdwz4Y0GjtG2HmsidzkIMRiIXKpmIWZoUjFIj7ZVe3in6GQiVkxO5InxqTECRHeEw7ucqkIhUw8aYve98ebeeH+BZTW9aLRmVg1J4r9he0Tbnv5whiMJgvrF8dgMtv4wzt5yKUi3JQS/vxZMfVtZybU3h5yHr15Jja7HavVTn5FF0+8k8dVF8fz8fdV9A4ZmDk9cOIvCwepKJedeQX0DRl4bnMBK2dHsnZhDHa73eFLIhWRGKbGZndMqPUmK93DxrHzjWbNvCgOlbRjB2YmBeKhlCC8UHoqpjCFCxhmi5XS+n6yE/z//sb/AKQS4ZQC6CxIRAISp3lP+m5OifJBLBRgvUBacpQyIWX1/eNSJIc0Rr7cX8fTd89hy95aSmr7cFNKWJIVRnSomle3lDA3PQShAJ58N8+5SBYKBWy8OI4716Wy/Uijk/wB2HuylcsWRLNlby2zU4PJTAhAIIDSuj5EIgF5ZyX7WG12mjscPnQWq53uAS1+aiVbjzhSOd0UjnMRi0X8+dNirluZwPolsTzzwclx84WoEE/MFhs3XJLE5u+raOk6kxhUM9Yadtf6NJ79sIDP99QyKyWIZTMjUcjEmC1WFDIxh4rb2VfQhsFonTQJKjc5iN15LWw70shjt83id387hp+XEpFQQNeAzrkoLG/oZ92iGJd9Y8LUFFWNb33pGdChdpM5EzZ7h/RUNPZT23qmoLN2YTSB3ir+/KkjsU0hE7MsN4JpwR7YbVwwZONk0JntPPLqYReioayhn3kzQrhhVSL+ngpuWZPMk+86Wm2+OdjALWuSeW5zAUqZGB9POR98N34OtzuvhVnJQRRV91DVNECAtxKrzU5GfADPfniSacGexIapnQTj2RAKHB5KL3x8xgfLTSEhNlyN1WanqnGAyqYBvD1k4/YF+OFEM49sysZisdHareXjHwoZGDGgUkhYnhvBosww/vZNKRGBnoQFuLNlby3dAzrkUhELM0J56OoMnt9c4CRoTlb1cOPq6Vy1NJ4v99VhNFspru1l9fxoSmp6aTxHyXRRTjjNXRoGRgxYbI5jtHZriAnzoqy+n2U54fzs2ixe+7LUWWCUSUSsWxRDUXUvXx2o5493z2V5biSf7q4Zd31SsZCIQA+ax54ltZuMjUvj2V/QxuGSdixWO9OCPcZIIDtWq403vi5zGr+nxfry+NvjE1/B8T64bEH0uM+nR/kgEQm5/bIUnvuogBmxfsxODUYuFaEzWMiI90Wjs/DzVw67tAiW1PZxcU44axfG8OU5qX3dAzq8PRU8/PKZ9tGmzhGOlLTz8HXZhAe4U9s6REqML8C4uT44yKHP9tRw1/o03JQS/vrlmeTDrn4tQpGAC/8pnMIU/vuYIoAuEGh0JnzVCuf/f3+8mdsuS+EvW0oI8lFy2YIY/LwVWK12ls2K5MMJBlixWMiw1kRbj2ZSQ+ANS2LZeawJtZuMrER/ZsT5OVqVcsI4WdlFY8fohO1jh4o7WJwVRkyoJyW1Eyt0IoLcx6WUgMOjoLNPy2d7zgxcO483cc+GGQxqDIQFuHHPhhm89LEjZezOy1P5cn8d3QM6PFRSLp0XxcykQGpaB/nVjTkox6La71qfxpDGyPCoCbFYgJe7jIf+NLHvgFZvxmS2EeitYFFWGG9vLXchU2bE+fGHO2bzy1ePOmXAC9JD+OFEs3OiaLdPbIzs6Saj+zx+OAaTleFRIwVVPeRXdLNucQz3bEjjr1+dchJ8IqGAa1ckEOCtRGewcLC4kb0nWwFYlhvJhzurXM4XYGDEwBPvnODa5Ym89ImjxctDJSUlxpd3t1cQ5KtCpZjcVFYodPTmR4V40NDumLCMaE3O1rf7rpyBQizEYrYiGDvH0vp+Xv2i1LnIVMjE3LUuleUzIxAJwGy2nt89egpTmIITFU2DGM1W4v6N9K+zIZWIpjyAzoLNamPN/Cj2F7SNU87IpSKWZIc74sovEJjMtgkXNeBI/GruGuG2NSm09GgYGDZwqr6Prw7UI5eKCPZV8dxZRSFwKFM/+r6aJ+6YPW5RfqK8i9QYX567dz5bDzc4U7FykwO5ZE4Mz42lWolFAu5cl8ruvBa0RjPpcf6E+LvRN6h3pmItzgqjvn2YviE9Ld0aRrSOxKyHr8tiy95a6tuGkUlFLM4MIzspgK/215Ea6+dC/pxGQ/sw/cMGIoM8UMrF6A0W3tla7lysikUCVs2J4vqViXyyq9oRof1+vkvqUGKkN0uyw/nj+w6SQmswY7Mz4fzk9L+LRUIsVhvuSgk5SQEIBY65y9mR1iF+bvQPu5JNh4s7yE0OpLC6l8RIb3w9Fbx21qJTb7Tw9YF6mjsdMdcysQCL5cIcIwUiAZ/uqp5QZXKouJ3V86Lw91YRG+LJozfP5N1tFbR0a9h6qJ4n7pjN8KiR7RMYPStkYgJ9lBwqbmPtohgCvFW0dGtIiPQmyNdBBJ2s7ObWy1J49K9Hx6nSNi6NRyIWjkWAw42XJKF2l1Fa14dYJOTSuVGIRAKEgokX9qfTsw6XdLgoWbR6M1/sq6NnUE92UiAiodAlTdVgsrLzeDNtvaO8cP8CRvVmZ7ufTm+hsWOYn16bic1mRygUoNEZuW5lIgaTlcMl7cgkYnKmB9DSpeGTXdX4eSlQKRzmxLvymrn50mT++MFJWnpGEQnhwasz0Bst2Gx2BAIBe/JbyK/oIjMhgN4hHYuywuge0LoUEFUKCT+/PouDRWdsEW5Z41CHd57VMtbYMcJv/nqURzblsPdkK2sWRPPedocHmNFsPe+0TSQSEhnkQdNY4MmS7DBSon3p7NNSXNvDyw8tYnd+Cz0DOmLD1dS0DBIf4cU72yom9IfaldfCozfP5NuDDS7v5chAjwnXFzY7vP5lKTddOp2Sul56BnTjSPKzUdk0iFZvYfuRRkeSmVjE3745xbRgT4dx/NQYOYUpTBFAFwLkUhFuCikp0b58ua+WjIQAwvzdSZjmxV8eXuRI1thSQs1YX7tMKuLSuVFsWpXkfIEDzEoJYk9+CwXVPfz0mkz8vTo4XNKBxWrDQyXlsgXRxISqyUoMQCgQUFjdw6e7azGZrWTG+7NizjQ++n7/pOeZX9nDRdlhbD3UMM7EWCCAlbOn8edPiybcV3DOwGy3w2tflPLC/fOpaOwn0FvFb26ayYjOhNFk4dGbZyIQCLBYbOw92cK9L+zH20PO+iWxdPVp+fZQAz/ZkEZRba8z/eSR67PPe59HdSYuXxTLW9+Wu1RCAYprepFLRDxx+yy+2F/H4IiRnOmBLhO5oVEjQT4qF18icJAmZ5N350IqFqLRmVicFUZ+RTdf7K1j7cJoXrx/AR19o9hs4O+tYH9BG7989Qj3X5XBybOqrykxPnx7aGJZcd+QAZlUhFQsJC7Ci/WLYhnVOSZvnX1aIoI8EAkFLv3Wp5GTFMj+glYeujqTT3ZVc7S0E6vNjtpdxnXLE0iJ8nEujgQC6B818fw5STR6o4XnPyrk+fvm462cep1MYQr/DApqevF2l+FznpSlfwZTCqDxcJOKePLO2bz6RanTsyM2TM1d61JRiAUXVKuqQCBAek5bk0DgaOmVSkTsPNZMsK8bdrujvdffS8mDV2UglQhdUonOxbYjjeQkBYwz4A3wUfLEOyfoGzqzmDpQ1E5RTS+/2JTN/sJWZqUEU9M8yLpFsXx1oI6v9tXj6Sbj2uUJhPi70dQ54vAUlIjYNrb4f2drOU/dNYdtRxqZkxrM+sWxCAUCgv1UNHeMMD89lJ3HmyY936OnOkiP9yM1xo/fv3ncZb5hsdr55mA9t61NQSYVoZCJ+O3NuWj1ZroHdQT5qChv7OfZD08695OKRedNtlTJHSbbydE+XLs8gXe3VTCqN7N0ZgRymYjXvijFV63ADuPCNaQSEXPTQvBVK4gJVfPYJEqKorGEKMkF3ABmtjrMiifDweI2EiK9EYsE2Ox2HromA7sdlHIxGp2ZQG+lSwFRIRNzw6okPFRSGsdajyxmG3nlXZQ1ONqVVHIxCzNCWDlnGgMjen51Yw4nyruobRnC21POpfOiaOoYxmy1My89hNQYP/aebHUhCrYfaWT1vCiWzowgzN+N1h5Xxd/GpfF0D+j4ar+r4uQ0DhW3s35xDL9/c+Lvrqy+n84+rfM3lTTNm7vWp3GysofjZeMJ28sXxbB2QTS781v486fFGEwW0uP8WbMgmn0nW7l1TTJ/+rSYvIou7t+Yzme7He32n+yqpqy+33kcfy8Fj96Sy8nKbg4Vt9M9oMPLQ8Fvb8mlZ1CHUi5GJBTy6a5q1i6MYXdeK35eCmfR9VzY7DjI1xhfjCYLN1ySxFf765BJ/s5v0m5nUWYo/t5KzBYbh0s6+OP7+Vy7IpG1CxxkcXq8P1qDmSfezkOlkLAwI4zSuomLxeCwiJgW7OGi+LpqWfykiXJDo0YCfJSEjrizJ7+V7KSASY8tFAoY0hjZeayZnceaCfJV8eBVGdjtdgwmK/YpAdAUpjBFAF0IEAkFXDpvGqV1vTx333x257dS1tBPV7+WjRfH88TbJ1wkzkaTlS17a9m0KslF6eOhktLWPYrRZOWP759kQUYIP7s2E7sdTGYrxbU92Gx2kqb58O72cmpahpzH3HGsibTzJH2cxv6CNh66JpN3tpXT1e+opqndZNx+eQqFVT3jJkfgaFXSGcZ/brHaqGoa4JNdNU5J9fQob9YvjuPnfzmMUi7mvivSSYn1IyHSB53RzPfHmp0Gj/sL20ma5u08ntlqxUMlndQAO8hXhd3OOPLnNE5UdLE0NwJ3pZQgXxUDIwa8PeTOyuKOo41ctTSeFz8pdJlI6o0W3JVS/LwULlXI01iUFcaR0k5yk8+0YyVEePOzlw8hFAoQClwnlZ/uquamS6cjFjsMLAO8Vfh7KSetXmKHX9yQQ3lDPy98XOji61Pe0Mf9V2Xw4kcFKOQS0mJ9EYuE9A3puXZ5Ar987QjZSYFcOjeKq5cmYLbakEmEyMVCrGeTfEIhXx+YfIHx1f56br4kES6gavoUpnAhw2yxUVDdy4wYn3EE+b8KmViEfirhxAV2mx1/Dxm/viEbg9nqMMsWCxELuKDIHwCpSMCK2ZG88vkZFcKa+dE0dWqoaOhnWW74WEJOgQupf8+GtPNWxPsG9cSHqwkPcGdaiCd6owWd3kx927AL+XMaI1oTx8s68VMree2LEm5Zk8LPXj7krNb3Dul55sOT/GJTNkdKOhjRmgj2VTn3H9Wb6ejXIhQICPFzEFZag5lXPi9hcMTAjWMedeeDr1pBdfPAhImZANsPN7JpZSIjWjMSsZD23lFaezTUNA+w7UiTy7ZlDf1kJgS4FFZOIzZMjb+3kj8/tJBjpzp56r18pwKmoX2YnOmB3L0+DR+1gj99Mr7AtSAjBJFQgFIupq1nlHvWp1HbOsTne2rHqc4aO4ZJj/a54H53/yx0Zht78ls5Vd/HHWtTGRo1cuxUJ/HhatJi/ahvH0YsEvKzazP56Ptq6tqGnPtKxULu3ZhOVmIAEUEejOpMXHFRPC1dIzz9/kmEAkiP9ycpypsRrZlnPzzJT6/OpKZlgKUzI6hqGphQJfLtoQaSo314+LosPthZSV6547t2U0gIC3BnVGea0O/qNExm2zh/x7PR0q3Bz0tJe+8oFY0D7MlrYXFW2DgPRICjpR2snB1JTKgX6XEBiMUCwvzdeW97BTKZCLlUxC82ZfPdsSYOFLZx/cpEfNVyAryUlOEggIQCuGt9Gn/+tJiBEQN3r0/j4x+qGRgx8PWBOtyVUkxmq/OaZk7XEurvRqCPiqrmic3iAaqaB7h0XhTPby7g+hUJPHX3XOw2O5kJ/hRM0PYYH+FFQ8eIS7H5NAJ9VPQO6ujo03LFRWqeei/fec9Pt7pNhrOyTnBXSrh2RSJyqXjC99Fp2O3w3vYKhAKH19RkyEkKcCGfOvu07C1oJTc5iMLqHuYlB2KZ5L0yhSn8X8EUAXQBQGewsPNYEytmT+OXrx5xvtB73GXUtQ9N2N8OjvSpa1ckOgmgtp5RYsLUVLcMYrE6Bug9+a3O7RekhzCiNdLZr3Uhf06joKqH3JSgSStAM2J8+XR3DYnTvPndrbNo7dY40z7yyrvISgxgV16zS3qZWCTkljXJfL5nfN8ygMliQ3xWikR5wwDhAV0kR/lyvKyTI6XtZCUGsvVwA3WtQ+ekNDgiJz/fU4PNDj8cb2HtwpgJB6rMBH9aukYI8Xef8DzAMbgYzVZ25TmqpH5eCm5Znewc1Fq6NJys6uaR67P5+kA9ta2DeLnLuXR+FAaTmV/dkMNzmwtoG6s+CQQwKzmI1Bhfnv+o0BmzrlJIMJisk1bqKxoHuG5lIr//23EMJivTgj24fmUiJ8q7OFg03jvIz0vBw68cxmazExXi6UyK8HKXMXN6ECNaI6/8bBEjWjM7jzVhsli5dF4UQxoD1yyLJ7+ii5WzpyEVgEzoqD5bzxkcrTY77b3j5fqn0d6rwWK1X8C1zSlM4cJCeeMAeqOFxAiv/9gxZVIRmuGJU2j+L8NmsyMElKfVNXb7ODPZCwEWi420GF9nYUckFJAR78eI1kxsmJrIIHd++drRcQRCaV0fcWHqCVuqABIivJiTGoJYJKS8YQBPlZQrlsSeN7a6oKqHRZlhXJQTwWe7a8aRGQqZmJFRE7+9Jdfhz2O2kpsc6FQZDWuMFFR1892xpnHH/nJfHYsyQ8e1NZ/G7JRguvt1DE9SzAFHupOPWkFt6xAJEWqGtUYy4vwpb+wft+2Oo408fG0WJrOV0rozZrWxYWquWZ7AkZIOyhv7Ka3tG7dvXnkX6xfFsPVIwziCICXah5Ro33GeOZkJ/jx0dQbPbi5w+a483WQXdIe0RARz0oLZf1bK6tmYlxbCwIiBp97Jo6lLw8+uzeTLfXVOs+/Kxn5+e+ssdh5vYub0QA4Vd7iQP+CY8/35kyIev2M2j/zlMImR3qxdGONUj9nsjt/e2WTEqfo+MhP8qWwadJnTnosDhe14uknZtGo6F+dEYLHakIiE9A3pCPRRTbofON6dQuHkikAPldRlzvbtoQZefGABo3qTM4IeIDzAnVvWJHOkpIOTVd2cqusnOcqH+Ahv/L2VzEkLoq17lHe2nWJhRii+agWVTQO8vbWc29amsGes9T8rKZC8im7nb85dKXX+t93OuEJnV78WP7UCL4/zK0rdlVLCA9z580MLHVYMz+5DKhby8HVZGM1WFwVSfLgXt65J5rd/Oz7uOAqZGE83KXtPtpEe7+diID04YkBghxmxfhRNEuqSlRjArNRgDEYLWr2Zrw/U4zlXhkImnnBurHaT4aGSOlX4R091csWSOBdrCXAUnFfMnsbTY/P20zhS0sH6xbGU1vYiTA2a9P5MYQr/VzBFAF0AsAPZSYG89kWpS4XCT+2IOJwMgxrjWGKBA6fq+vjjT+axO69lXJylWCRgUVYYh4raKJigCgZwoKiNX9+Yw6m6vnGDy/z0ELw85dy5LhWRUMBrW0qYOyOEV78ocU5oBjVGfn3TTMrq+mjsHCHEz41FmWF8fbCOxo7x8Z4CAYT6uY2rXO4vbOPu9WlEBnuQGOEwyUuM9ObyhTHUtg7yzcF6FmaEkZkQwMHCNh64OoOXPy3mVH0fCZFe3LY2ha/219E7qEchE7NydiQLM0Lp7Nc6E8cmglAocInGlYpF+KoVbFgSy9cH6piZHEREoAftvaNsWpWIu0pKeX0/rT0awgPcMZmtXLYgGi93OXqTBaVMzKn6Pl74qJDYMDV+agVP3z0HmdSR1HM+tdKw5ky1qrFjhOc2F/DQNZnUtgy5tKClxfiikou5emk8da2DXL44ju+PN7EoM5TZqcG89W0ZDe3D+KoVLJ8VSVy4F3/75hRHSzuJCVXzs2sziQ7xRC46fyuESChgWrDHhN8jwLRgDyQiAbYLxEx1ClO40HG0rBM/tRxfz8nbR/9ZSMWiSRMNp/DjgMhu54GN6TR3aSiq6cFDJeONr8tQyMRkJvhP+J4+dqqTX980k/2F7eOIGqlYyLJZkTz6xlGnahccvh4K2eTjoVwqZkacH3a7fZzKYXluBMkxvpys6GZ2ajC/fucom1YlcvHMCAqqeugfNvD9iWbWLozhr1+NT6Ec1ZuZEetPRGCL07j2NKJCPPHxlLO/sI15acHU+bkxJzUYmVREbesQeRVd2Gx2wvzdKK3rIzXGl0921bBy9jTEYiGzUoL5bHeNC8FnNFkdSpJrMrllTbJzztHcNcJzHxZwz4YZE6YcncaR0g7mpYWQERcw5tFkZ3ZqMNGhan79+pFxnjkFVT34eynJTQ50kgMKmRhvDzkikRCL5cJMILJb7Vy5JI6i6p5x1zRvRgi+ajld/VqaujREhXjSM6h3SXqz2R3tfw9fm4VAKOCJSdrhTBYbda2OQJAAbxV2u93Fa+lc1LcNsygzDKlEiM44OcGtM5hxU0qobOzn24MNtHRrEAoF/GJTNhKxkPhwL6eC/Gx4ucuQiIXkJAWOS8ICBznk6SZzIQCtNjt55Z3csCqJy+ZHozdaxgzSdbz0SREWq42Hrs6grtXhfzWiNXKouJ30eH+8PRXoDGaXtk2xSEDfoI4n7phNaW0vAd7Kcwyf7dx06XQnSXOuCioh0pvluREIhAI0OjOf7q6ZkGxckh2OXCri8bdPOJ89qUTER99XMzctmGuXJ2Kx2jCZrbR0aRgadST6nU2cuikk3LcxnUPF7ShlYmw2O9qzVP4mi43GzhGuX5lEdcuRcT5AF+eEc7y8i+zEAD7+odp5bJFIyHUrE3njnHeGUAC3XpZMXdsgD1+fyZ78VnYea2Ll7Gk8evNMjp3qZFBjZEacHwHeSl7dUjKORLJY7QxpjMxMDvrRK/CmMIX/BKYIoAsASpmYAG/luErJkMaIv5dy0v1UCgkyqYioEE9iQj2ZkxbCd0ca+fn1Wby/o9LpdxDq78a1yxP5+kA97krppNGpRpOVj3+o5rHbZrG/sI1TdX0o5RIWZIRgNFn5+cuHuPfKdDxUUiqaBvD2kPPMPfP4+kA9HX2juCul2Gx2luSE8cW+elq6Nbz0aSHrF8dyqKh9XMV12cwI8iu7xw1SeqOFYD838iu6+OScSdlFOeH84c7Z9A0aHIaNbjIkIiEvPLCA9h4N/cMGMuP9SIr0xm53kEw9gzqe+fAkrd2j49rmzsac1GAKq3oQCBzViUvnRSEWCQj0VvH8fQvYfqSRPfkteLhJ8XKXM6gx0tmvY+uhRk7V9nPvlWlEBHnw2zeOYTRZnRJ9P7WC+69Mp3tAx87jzTR3jRDoo+SOy1OpahoY592gdpdhOMekzm6HLXtqWTVnGm9+W4ZIKGBOWjDzZoTQ2KGhqXOYEH93VAoxy3PDGRgx8Yd3zkSUtvWM8uY3ZVycE84lc6Iciqq2IY6XdbIoIwTL34nEtFttrJkXzf6CtnHfo1AAa+ZFY5tq/5rCFP4hjOrNFNX1MS/lP1uJlEmEGKYIoB89RHY7MUHuJEao+WxvHW09o6TF+jE0SQS02WKjoX2Ix++YxatbSmkdW0xHBLpz8+pkDhW1uZA/4FC2XLciccK2D6FQwE2rpyMQQF3bMJfNjybIV8We/BZGtCYigjx47sMCHrwqg1e2FKN2lzrGPKud3982i94BHV+P+dbdeXkqm7+vYkRrQiCAjHh/1syPRiwW8PPrsymq7uFAUTsCYFFWKDPi/GloH+KW1cl4eciQScXsK2hFZ7CQEu3D727J5a1vy1g9P5qRUSOtXRryyru4ZG4U72wrJyrYk/s3ZvDSp0UuC72IQA+CfFU8t7mAli6NSwudHfukXnngUDJ/sc9RVLpsQTRuSgnBvm5UNvYzOGKccJ+9Ba3ce8UMjpZ2IpOIuPfKGXyxr5ZNKxKZPLz+fx8KsYBn7p7HweI2jpd1oZCLWT3PEQMvEwmpHVOPZ8T7c+zUeLKkqXOE5z8q4Nc3zcRssSEQOAqc89MdrXJmi40DhW0Mj5pQKSQMagzYAX8v5YQFsQBvJSvnRGIwWZgR60dd6zC781vGbQeQGuvHoeJ2dAYzYQHutIyp1Lv6tUhEQq5ensArnxW7qOpVcjH3bJhBa7eGVXMiHa2EZ5FRUrGQe6+YMaF/kI+nEovFRlvPKPsK20iP8yPEz437N6Y71JhaI0/eNYf88i4CfVWIREK+O9oE2Hn89tlodCZsNjCYLfipHT6QWw834aaUsGZ+FFctjefNb8q4Z8MMOvt1HCxqw2K1k5UYwGULonnl82L6hw24KyUE+qjYc9KR+nX3+jTuvSKdlz8rcpmvJUf5MDsliNq2QafVwTXLE7BYbPQO6fFVK+ge0OLrqeCxt044r3/j0nhWz4+is8/xb55uMt78toyWLg2/2JTNu9srWDoznLyzDOzf3lrOMz+Zx8+vzya/oouKxgE8VFIWZoQyqDHy3vYK5qQGc8ncaUSHevLV/npKanvx9pDzqxtzOFDYRnvvKNOCPbh0bjRlDX18d7QJtbuM5bMiuWTONJo6NbT1jhIV4olSLsbbQ8Fv/np0wt9GRKA7nf1apk/7z7VcT2EKP2ZMEUAXAMwWK0Lh+BdS75AetbsMlUKCVj++6nHJ3GmYTVayEgNo69Hw+FvHsVjtyMb6i9t7RzFbbPQPG3h/RwUdfVq83OU8eHX6hK1E4JBEf7CjEpvdzu1rUzhc0sGnu2voHdQjFQtRKSQ0dozgp1awr7CNID83Eqd5E+LvRu+gnj99WsRPNsxgd96ZAfpoaSe/unEmO442Ut8+jI+HnMsXxdA/bJhQgp4a40vfkI4DE5zjgcI2R3TtvlqXNjaFTMyDV2VQ1zZEfIQ3n+6qdpJLof5ubFwaz9HSDgqre7h9bSrvbCuneEyaKhQ4ZM8bFsfS0T/KjDh/hEIB3f06pBIh3p5yfvbyIYxjJElHn5aqpkEWZIRy5UVxzJweSF3rEM9+WMh9G9P56TWZ9A7qGRgxEB/hhUQkoKFjmOc3FzgH484+LUXVvVy3IpFZKUEuE6krL4qbUDbf1DlCUpQPP78+CzeFBJPZisVqx2i2sigzjMffzmN3fgtP3z2Xp98vGLc/ONIXfntLLtuONGC3w85jzcxKDvyHXgTucjG/unEmL39W7ExkUbvL+MmGGbjLxVPpX1OYwj+IExXd2G0wPdL772/8T0AsEjqTBafw44ajqm51try09WiYnx7CzmPjt12/OBadwcLLnxazcs40EiK8GBxxtHtbrDa+nGDxOjBiYFRvYn56yLj5wK9uyGHHkUYOn9UOLhYJuGfDDMIC3Onq1xIe6I5cJibEz43LF8Xw6a4aPtxZBUDSNG82rUqiqmmA+rZhblmdjEQiHPt9WvnmUD23rE7mibdPoJCLSY/zRyIWYjBZ6egZJdTPHZlUyLvbKzh26syisr13lEPF7Tx2+2ysVhvVejMvfVpEVmIAeeVd1LQM0TOgZ3F2OE/eMZvyxgFG9WYSIrzw8ZQDdqw2+ziip6Sml5zpgRMSGuCIvP7mYD0CgYDpUT609WgorO4+70LSaLLi46ng9rUp+Hkp+HKfQwl93fKEC5oAstnsSASwNDuMRRmhCAUgHPvcbrfj6+VQLDpMtSce8zU6M31DegK8FVy1NIGmzhH+8rlDlaFSSFgxK5JZqUFsP9pAU+cIVyyJY8XsSF7+rNjlOOnxfizPjeT9HZU0dowgFgl54o5ZHCntGKfw8PNSkB7nR2FVNxnx/vh6Kpg3I4TmrhG+P97Ew9dl88f389m0Kgmj2Upbzyj+Xgq8PeR8uLOSBzZmYAduvnQ6Gp2Jho4RfDzlTI/yoay+n8om16Khp5sULw8ZPUN6QvzdWD0vik92VaM3WLhlTTLPvVNAcrQPS7LCSYj0xsdTjreHnFe/KOH2tal8truG4tpe3JVSfnpNJo+/dcKlA+CZDwpYmBHKb252EJ5nmyW39WjoH9bz6M259A/r8faQYzBZ+Oagg3R97K0T3Lw6mRcfWEhRdQ8anYnEaT54qqQU1/ZSWNVDRoIfsWFe/OmTIgY1Z0jMIF8Vv7whG3elBI3OjMli4/0dlYhFArzc5fh5KUiO9nV6aRbV9DBzeiB+aiWBPkon0aw3WjhR3klxTS8KqZishAD0Rgvv76h0zI3DvSit66N7QMfy3AiKqnto6tSwr6CVth4NN146HbFIgEwi4levHWV0bA3U0aelonGAFbMiUSnEbNlbxyPXZ/PK58VsvDie5Cgfp8H4aQgEcMVFcRwv62R6lA9T/M8UpjBFAF0Q0OjMKGQSZ8zi2fj4h2oeujqDVz4vccpPBQJYmBFKeIA7YYEeKOQS+ocNXJwTwYKMUHw85GgNFnw8FU6TOYPJQlqsH2vmRyESCpmdGuTStwwOoiQt1o9vDznIgY1L453qFIEAbrx0OoeLO1g5J5KoYA+MZhtiseMFXd7QT1FND1q9GaXcNXr82KlOSuv6xiJgA0mO8kYsEvHJrjzOhUwq4pY1ybT3jHLTpdM5XNLhTD8DmJ8eypY9NeM8jPRGCy98XMjTd8/lsbeOu7SVtfWM8vzmAh67bRZWm53fvnGUi3IiuOKiOERCAQaTFU+VlM/21nB8bAI4Oy2YK5bEodOb+WJvrZP8AUdq2yVzo0ia5o1GZ0IuFTGsNWKyWFHJxTR3jpAY6Y1QCBKxCIvVxoufFE/oOfHJrmp+eUMOx051EhnkwdXL4imu6aW6ebxMWSoW0tk3SmvPKJ4qKd8ebKCzX4uvWs76xXHcuiaZv31TRt+Q/ryGoJ39WkL83HBTSpCJRQ7e5h8ZEO12ooPc+OPdc9COSXpVcjEy8VTr1xSm8I/Cbrezv6idmBAPVArJ39/hn4BY7CCAJluYTeHHA7tQgNFkdbZz9w8bkEqEBPmqXBJ+PFRSpgV78OxYBPwnP1Rzy5pkXhozLH7k+mwXX76z8c7Wcn5z00xWzo7kQGE7ZquNBRkhNHWMuJA/4Gih+NOnRTx6cy5vfVvOnetSEQhwBlWcbdZc0TjA7988zs+vd6gDDha346GSEuynIj3Wj4gAd7oHdNyyJhmT2YZKIcZNIeWTH6p4b3sFEpGQhZmhLMuNpKpp0GWBqjVY+GJfHRGB7s62rblpwfztmzIAblo9nRc/LqSzT0t4gDsyqYjvjzehMzjSRS/ODuOtra4+gfsL2/jFDTlUNQ24/C1wFNqKa3pJifZl9fxohALwVyvxdJOdt5VE7S5zGg+bzDZqWoaIC1cjOl8c2QUEq8XmIKrscPqbtdnsxISqkUtFFI+RZmcTE2fDYLLykyvS2ZPfyr6CM749Wr2ZLXtrMZos5CYHsye/hS/317FhSSwbFjuS5ixWOwqZmDXzo3nq3TxypgexPDcSi9XGvoJWfnlDNtuPNJJX0Y1YKGDujBAWZITy2pel3HZZCkdLO/jbN2XoDJYxH5sURCJYmBnGc5sL8HKX4eel5IjGQM+gntkpQWh0Jv72TRlNnSN4qKQE+qjQ6Ey8+U0Z921Md2mB9/NScN+V6bgpJPQM6ByqldeOEuyn4r6N6XT0arl9bQq9g3qe31xAaIA78eFqLpoZwU2XOn6fp4NPLsoJZ8u+2gkNqqtbBslKDKC2dYiwAIfCu2dAz82rp1PfPsyvXz+CRmcmKsSTjRfHsyQ7zEkYlzf0E+yrIibM8X1JJSJe/7KUisYBcqYHEBvqxWtflI77vXf2aXltSymXzI1yaYu0WO30DulJT/BHqzfh4ynH30tJfkU3OUmBKOQifnpNFrtONLG/sB2zxUpT5wh3rkvjpY8LXbx6okM9uWpZPM99WMCo3kEW3rw6mSffzWdBeghzZ4RgtlixWgW89U25k/w5G98da+LJO+fg4SaltK6XUb2Z93dU8MxP5nGwuJ1dJ5rR6MzER3hx9dJ4vj/RzJKsMEwmG/xnQjenMIUfNX70BFB9fT1PPPEERUVFqFQq1qxZw/33349UKj3vfj/96U8pLS2lp6cHiURCXFwcd955J3Pnzv0fOvMzEImEIHAobh5945hLBbepc4SG9mEeuCodvdGCzWYn2M+N7gEtwb5ufHe0kdAAd+bPCCbU352G9mF0BjPHTnUil4kY0hi58/JUJGIhtW1DvPRJEXbgsdtmcXFOBDuPNWE0W8lMcFRMXvqkCLsdZk4PRCWXkBrji5+XkjmpQZTU9rI4O4xXt5Q4e4fFIiErZkUSH+nFI9dloZCLkUvFzEkN4uipTuc8R6s3s/VwAzGhalJjfBnVm7j50unsPtnC8VOdWKx2ZqcEsX5JLFv21FBc24dKIWFxZhir50Xxp0+LMFts5CQF8OyHJye8j3qjhbYezYSTMrsdPt1VQ9I0b4ZGTWzZW0tjxzBXXBTL85sLMJmtzE8P5YGrMgBHZGtb9yhBviqXaoJcKuLh67LYeqiBLXtrAQc5lpMUyKM357LzeBOJ03wob+xnd14Lly+KQS4VT5oucXqx9ovrs+no1+KmkLLz+PhUCYB56aEO6bLd7uKr0Ddk4PUvS1k5ZxoX54RjNE+uAFDIxMSFqVEvi6emZQhvD7mDmBL+Y5NSm9VRHVQrxC6fTWEKU/jHUN8xQnuflg0Lo//jxxaLBNhh0gX/FH4cEAoFNHaPEuznRka8/5jvDLz5TRkPXJXBDyeaOVHWhdVmZ3luJAeKzpj2ymUilwVTU+cwiZHe4xQM4PBsMZptSCV2luZG0Nw5ggCB05D3XNjtUFzTQ6i/Gy98VMhLDyzgk101EyZ16QwWCqu6mZUSRFZiAGKhkPr2Ybw9FKTE+PLu9nJOlHc5h50ZcX6snhdFaX0/eqOFH060UFLbx21rU/jj+65j/vGyTq5aGsexU500dY4gl4rQGcx4e8gxW2xOguxcX5k9+S1sWpmEzQ7Hy7qc98RgsrLtUD1P3jWHk5Xd5Fd2466Qsigr1GG+O2xAKBTwwkcFrFsUyw8nmuno03LflekE+6qcwQtnY838aL7cX0dF4wDpcX5cszyB+AgvRAIuSAPyfxQ+nnJ+e0suj711gvWL3QkLcHdpmQKHEbJKLkEqFnKgcGLT5u+ONfHIpmz25LdwsrIbrd7MplWJzM8IpW9Ij7e7jB9ONPOrG2dyoKidj3dVIxELmZsWgtliY+XsaVy1NIHWbg35ld08/tYJbr0smb9+dcqlaFjdMsjv3zzOE3fMITnKh2uXJ7D1cAM1LYMoZGIuXxRDbJgnQ6NGZwF2RGtyaUf75IdqHr15Jl39juh1D5WUtt5RdAYzPmoFX+6r5ZY1yVisNv6ypYQhjZGESC82XhzPtBBPSmt7USkkiEUC2ntGneQPOIyWv9w3cTx9SrQvjR3DPHrzTJq7NAxpjKxb5IMAnAQHONLqnnw3j/uuTKe+bZjFWaGYzDae+eCkk0AO8lVx65pk3t9RySVzorDa7JMmy1Y0DXD54phxn4tFAhZlhuKpkjEnNZieQR0Gkw0fTzkffldFTmIAG5cmcPmiWFq6NTS0DzMyauTaFQm4KaS09mhwV0jp6HMUZU+/p05WdnP9ykSeu3ceJrMNoRBe/qyYu9fPmNCz6ezvdkacH1sPOorJi7PCqGgcoG9Qx5N3zsFgsjKqM1HW0E+gt4qwAPcphewUpjCGHzUBNDw8zKZNm4iMjOTll1+mu7ubp59+GoPBwKOPPnrefc1mMzfccAORkZEYjUa2bNnCbbfdxvvvv09WVtb/0BU4oFKIsVhsyCQih5FjQSu1rY7F+bLcCLw95AyPmgj2U2HHTkmto/LS2adld34rz/5kLqM6M7987QjdAzp+sSmbyqYBLs4JZ+uhxglN7bYfbmBZbgRrF0bT0adl2+FGGtqHEQkFLMwIJTfZURG58qI4bHY7vYN6shICePGTIhcyw2K18d2xRmanBtE/YmDbjkb0Rgu5KUH8bmYkr35R4hxkvNxl3LJmOiKhAHellC/21aJSSPnpNVmIRQLU7jJ+8ZcjzgFrRGti8/dVJEf7cOMl03nj61PY7PbzLm76hvS4KaXjqhrgGCyWz4p0/n9WYgD5Fd2snB3JJ7tq+OFEs4vZZXK0D2aLlbMLdmsXxvD1gXoXQzy7HU6UdyEQOKTv3f06ZsT5kTjNm1GdGbHo/IJvncHiJLhmpwRx/8Z0Xvq40GWSGBnkwdy0YExmKy98XDjhcXYea+LXN+bQ2q0hNkw9rjInFAr46TUZ/PXrU84+foB3t5Xz0DWZJIapfxSVySlM4ceMg8UdeLpJiQycPJHwX8Xpd43pAjWZncI/Bosd9EYr3YM6Vs2ZRkltLwaTleFRE0+9l8+C9FB+c9NMPN1lyCQiXvz4jI/PwIiRmFC18/+/P97M3RvSePq9/HFjZ1qsH+5KCYdLOpxtxw9enXHeOOxBjRE3pQS90YLZaqP6PJHT9e3D3HDJdP78SZGTjFkzP5qC6h6Ol3W5bFtc04vFauPyRTFsHmsl6x7Q0T9kGEcyCAU4VcJvfH0Kbw9Hq45QIKBuAkWKXCring0z6B/W89xHhVitNuakBXPV0ni+2FfLrJQgYsLUHCntYHZyEF39OnQGMy9+XDSu/V7tLkOjc5AD722v4IGrM/hyX53TlFcpF7N6fjQ2m93pNVhU08uVF8fj43F+1dCPAWKRkDA/JX+8Zy49AzoeujqD0ro+9p5sdSSfpjjCMl75vJh7NsyYlOyyWO0IBALWLowhIcILqUSEVCriVH0P3m5KqgYHmJUazDMfnHQhY77aX0dBVTc3XjKdPfnNfHvIQVa6KSSoFBIX8uc0bHZ4a2sZs1OCKa7t5YnbZ9M1oMNodqSxtnZrMJkn/166B3T0Dul5bvNJRCIhd69LI9hPRc1YKEdYgDuVTQMcKDxDxKbH+fPl/joOF59R0g0M6+k9J+bcbnf8nie6T0G+DpPsJ9/Ncz673xysJyzAnYeuzuSp9/JdAl8+3V3Nw9dl0dqt4cWPi1yO1dmn5fnNBfz21lwa2oYJ8JncX9RxP6UuasMgXxW3X5aCVCzi7a3l9A7qmBbsycLMUI6UdnDXulTUbjLMFgt6k9XpQfntwXo2XBRHXJgXr39RitFsnXCa2dqtoXdIT2yo2pme9/eUrBarjbe3lvHrm3LALkAuFTFqMJEW60vvkJ6eAR2DGiOLMsOwWK3Y7Q6LjKkI+ClM4UdOAH3yySdotVpeeeUV1Go1AFarld///vfcfvvtBAQETLrvn/70J5f/nz9/PkuWLOGbb775HyeAZGIhEpGYniE9H+yoJMRPxYKMUEZ1Jt76tpyBEQPJ0T7cfOl0pxHeq1tKWD4rkthwNd0DOrYebnRh89t6Rgn1d8ifjRNIS4P83LBY7fzq9aMszAhl48XxjqhcoYCTlV08t/kkj90+myfeyUNvtODtIWfj0jhWzIpk8/dVLse6YdV0tuytdTGTbOocQe0u43e35rL3ZCvh/u5MC/HEaLZS2djPG9+U8eDVGXx3tImn38/nsgXRNHeOjEsvAyir72fFrEjcFBLMZhtqd5lLBeVsRAR50Ds4cVVD7S4j0EfJb2/JpbVbw4xYP3Yea2LpzAi0Bgs7jjQ6vQFC/d0I9lVhs9nJiPd3XltsmHrStJAT5V1sWBJHaV0fbgoJnf2jnKrrJ2d6IP5eCnoG9eP2kUlFhPi7sTw3Em9PORGB7lQ0DvDiAwvJK+9kRGcmPc4Pi9WGzWZzRNVPYthss9nRGS2M6EzceOl0nno3z1khApiZFEhJbZ8L+QOOicfzmwt45WeLkV/I5gRTmMKPHHqjhbzKbnISA/4rRpSnCSDzeVSAU/j7kEhECASO+/i/0U5nt9sJ9lPx7aEG/L2V/OKGHHadaKaophelzKFAMJqt9A3pCfJRkTjN20n4X7cikUGNgdzkQI6XdTGoMfLNgQZ+feNMth9tpKKhH3eVlCVZ4YQHudE7pHfxnGvrHiU2TD1hUAJATKiaXXkt+HjK0RksqN1lEypgwEEGfHuw3kWJkxrjyxPvTJwOVVbfz+ULXZUHpfV9xIR6uhBAs1KCya/swW638bNrM+ka0HHlRfG8t6MCtbts3HHvuDyVbw81uJAD9e3DBPmo+N2tuZjMVsob+wn2dWNXXgsGk5V9E0She7o5QjROj6tDo0aeeT+fZbMiuWTuNDxVMvqG9ezJbxlnrl3Z1M+i9BBslh83AQQO1a9SKsJPrWBXfguRgR7kjhnaF1T28NH3jjmSw3dpcvh6ymnqGObrA3XY7Y4C2hUXxTGqNeGulHKwqG1CY+iWLg0DIwZsZ73mwgPdqZmgdf406tuG2bA4ju1HGmnu1vDcWMukQAD3bUw/r5JZKhbiq3b4Ge081kR4oDtWm53Xvihhw5I4kqN9+OC7M/PiIF8VQoHAhfwB6B7Q46N2TX0sa+gjMyGA/AnSeacFe/KHd/LGEbet3Rp257ewICOEH06c8dvs6tchFgn5ZFfNuYcCHO2TTR0j7DjaxE2rp096vRKxEJPZypr50XiNPU9CgYABjZ7fvXkmEr6jT8v0KG+yEgL4eFcNdpudi3LCCfJVOdceWoOFd7dV8NIDCyZsczvzN0V8tLOKh67JxGiy4qtWMDRqJCXal1P1fRPuExOq5uPvqzhR3k1Wgj8ffl+LVm8mJcaXYF8Vx8u6WD4rkne3l3PNsgQEAiFmswWRSDTpeUxhCv9X8KNe7h08eJBZs2Y5yR+AFStWYLPZOHLkyD91LJFIhLu7O2bz5BGT/y0YzXa2H23AQyHlupWJ1LcPs3lnFd8cbGBgxEB0iCd3r0/jox+q2VfQxrDWREltHzKJiPkzQhAJhU5DY3CYOwb7qvhsdw0PXpWBu9LVZ2JRZiizkoNQKSREBLqz92QrT76bx9Pv5/Pku3n8cKIFfy8lLV0ap9HewIiBV7eUApCZ4O88lrtSgtpdNmGSyJDGyPbDjcyfEYId6OwbRSQU8KfPitEZLDz7QQFRIZ48evNMFmWGUnxOrOXZOFXf70gLCPPkuhWJE24TG6Ym0Fs5IYkEjujJN78t4/dvHqewqodhrZFZaUGcqusjLcaXPz+0kJceWMDTd8/lwasysFhseLhJuG5FIu5KCUIB5x3A7HacZtl1bUO88FERs1KC2J3XMmZo5/q4CQRw17o09AYL2UkBDGuMPPbWCb471oTVZqOqeZCkSG+2HWnkyXfzHalw3uePjFZIxaRE+/L6l6U8cFUG161IZHZKEKvnRXHtigR25U2cnmGzO2S4Iql4KiFhClP4LyG/qgez1UbytP+s+fNpSKYUQP8WbAIYNlj46lAjm3fX0j6gw/oPGaS5QiQSYsGh5BFNkrr59/bv6NNS0dBPQoQXf/2qFIVMzI2XJLF2YQxVzQMcKe1gWpAHx8s7yUwIQC4VEeijxE0h4bkPC5g3I4RrlifgoZJyqr6PD3dWsm5hDD/flM0lc6LIr+zmVF0/+wtdiY5dec1ctiBmQqNUbw85Ad5KWrs1zEkNZtvhBpZkh096HakxfhwtdV0EO9qeJ792ndHiEoqhkktcih5e7jIuzgnncHE7J8q6EAoEqN1kdPRpuG55AsnRPi77B/mq0BstEypDOvu1HChqY8veWtwUUp754CTfHmogOzGA9Di/cdf+6M25fL671uVzrcHCl/vqeHVLCZ19ozzzwckJ50O+noof9YRbIBizKxiD0G7HQykhItCDYa0JN4WEvfktVLcM4u0h59bLkpFLxQT7qiY83rRgD8rq+ymq6XX+HioaB3jqvXzCgzwwW2ycrBx/H0/j2KlOLGcljxpNVpTn8VSTioVYbTZC/d3o7B11fm63w0sfF+GrViCd5FldnB2GQiYmK8Gfn1+XRXFNLyW1vdjsUNU8QGvPqMv289JC2HNyfOtbW+8oy3Mj+NWNOTxyfTY/vz6L/mE9l8yLwkPlalvh76Wgf9gwacvSsVOO5/5snO7k75yEkAWobRvCz0tBTcsQc9OCJ9xm+axIpGIhr39ZylPv5fPUe/kIhQLnGuA07rg8lUMlHTz1Xj555V3kV3bz1Hv5vPZFCfdvTHfZtqp5gLRY3wn/npe7DIPRgslic1xXoj/9w3rMFhubViWiko/XKqxdGM2Jsk5sdjhS0k5eZTeHitspqumhuXMEiUTIlRfFIRLC1UsT+HxvLSIRWGwCJJIf85M4hSn8Z/CjVgA1NDSwbt06l888PDzw8/OjoaFhkr3OwG63Y7Va0Wg0fPnllzQ3N/PYY4/92+c1Wcz6ZBgxWBySRAFodSZWz4tC7S5nVGfC31sJdjsCoLJxgJzpgdjtDplxa7eG9Hj/cbG/2480cu2KRJ7fXMCnu2u4fa3DrFFvtBIXrqa7X8vjb53AQyXhng1pvPZFKU2dI84qg5e7jNvWpvCXz0vGnevXB+q4a32ac4IzPcqHwurJB+nDJR1Mj/LhL1tKEIuE/OHO2c7B3mi28vkex2Tqp9dmnjfBxkMlZX56CPsK2pidEsRNl07nq/11DGqMiEUC5s8IYf2SWPIru7nz8lRe/+qUi9Q6OymAAG8VVU2OSWBxbS+ysQnz9CgfQvzd2LyzilN1veSmBOOmkCCXipg7I4TGjiGevHMOx051jiPTzoVUIuTzvbXcd2W6s4Utd3ogvmoFz907jz35LdS2DRHi68b8jFD2F7Syr6ANqVjI8lmR3Hl5Kt6ecvaebGXVnGlUNg1QOHavbXZHr3eovxtt50w4wDFB9fNS8NS7+WQk+GO12YkL9yIx0otjZV10D+jGJWecjZ5BHbvyWpiVEoS7XAT/A4XK0xNK0d9pk/tn8c8+g/8/4b91T38suJCv/0RFNxEB7nh5jFcp/CcglTqu+fS66H/7HvyYnkOL3c7Oo81sOcuP47ujTUyP8uGBjelI/4FLEQjAYIG9hW3syWvFarOxMCOUi3LCUYiF/7CayGi1s7+wlfkZobzyeTF3XJ5KQ/swe0+2opCJWZIVTnSoJz2Dej7fU0t4gDsPX5dF94COH040oxprh1G7SfntLbn0DuoZ0RoZ1hp56r0zfjppsb5ozlFYDGqMHCxu44GrMvjkh2o6+rQIBI52scsWRPPaF45FoJeHjNK6Phakh3LpvCi2Hjoz5xIK4YZVSRO2bEv/zuJLKRO7jN1Lc8P59mADSdO8SYn2JT7Ci79sKcFotqKQy6huGeTVLSX86sYc2ns1+KqVPHxtFs9tLsBitZEe50d10wBBPioGNYZxRZwDhe3cfnkKb3/rSCS12uw8/1EBG5bEcum8KPqG9IT4uzOqM7GvoJUFGSG8v8M1rEMggJtXJ1PbOrECRSwSEhfu5fjv/4Vn4t/5mwIBGK2O+UFNyxD+3kqiQzxRSEQIgPQ4XwZGjORVdrNpVRLeHnKUCgnfHWkkyFvFbWtTxiVN+akV3L0+zdkmdDaMJis7jzWxKDPsvL8VudSR0HoaDR3DXLcikck8thdlhZJX3kVOUsCERNF3xxr55Y05PPWug+xwhHuYiAtTc8mcKFq7NPSPGBgZNRIZ7EnZmCqlq1+HTOyqKFHIxeOeq/AAd268dDovfFToVMQpZGKuWZbAyKiRX96QQ2l9H0VVPbirpFyxOJaKCXy7TsNqs2M750KzkwIZ1BgI8FZO6u8TEehBbcsQFouVi7LDcVdK2VvQitFkRaWQsHJ2JD6eCroGdAT5qOjs1+KmkDA0anQ+y35qBUuywwnwUmKdQDlV2TTIokyTi3H2R99X8+Sdc/jzZ8V0D2gZHjU53lEqKbddnsrfvnb4Wo5oTWxcGsec1GACfVQMDOt57LbZHD3VQUXjAJ5uMuanh9DQPuz0y5RKzrR13bUujabOEZ58J99JECZN8+amS6djsdjRGcz4e/74WzGnMIV/Fz9qAmhkZAQPD49xn3t6ejI8PPx399+yZQu//vWvAVAqlbz44oukp6f/nb3OD6FQgJfXxBWPyTDUMURksAf9wwb2nGxl49J4tFoT00I86R9ysOBqdzlP3DGbL/bW4KuWc9e6NMIC3Hjp40IuWxCDh0rKiNZEfLgXwX5utHRp+M1NM/nhRDMffFdJoI+SW9ek8Phbx+kedMjGV8yeRs+gntXzogn0VWEwWhgeNRLs58ZzHxY4DIfPgdbgWp37e/PZs6uIFqvDnNHTTcrwqOvgmF/Rzdy04HGya5lExIw4X5ZkhtDU5SC8WntGOV7WyfUrk1C7y/DxlFPR2O+cDCdN8+Y3N82ktVuDQCAgyFdJY8cIf/7UtSc6r6KLX92YQ3PHCPsL2wj2dWNWShD7C9toaB8mKdIbi9WOh0pGR7+W+EhvBAIBCZFeTiLpbKTH+1HROMCQxojR5CBa+ocNRAR5IACOlHYwNGpk08okjpR28OQ7eU61ksli49tDDWxalURTVQ/9IwYa2oedBJmHSoqbUsLbW8u58/JUXvio0MXoUy4Vcf/GdEpr+7h9bQo7jjXx1Lt52OygdpNx+aIY3FVSokM8qW+f+NmIDfPi7a1lfL6nlmfvnce0YM/zf7n/QXh4nF/Z9M/gX3kG/3/Ef/Ke/hhxoV3/wIiBquZB1i6Mwd39v3NungbH+0Qicwzt/5v34Mf2HNa0DLqQP6dR3tDP8fIuVs+L+rvqyL4hPb9/66gLQf/Znlr2FrTyx3vm4f8P3o8RrZH+IQOLMsPw91LyxNt5xId7ER/hhcliY2jUSGXTAMG+bhhNVmpbh3jl8xIeuCqd/mED1yxL4J2t5cikYtLjDHy629EScu+VM1zGgIb2YTITAwj2UyISCChvHKR3SM/h4g6aOzXcvjYFtbsck9lKXkUXz35YgFZvJi7ci9QYP5QyMS3dGgTAb2/Jpb5tiMggD/y8lIxoDRiMlnGL0fKGfjIT/CdUycRHeDkDJgA2LI6lu09HVIgnIX5u+Krl/PnTYufxLsoOp7NPy8+uy0Ihk/De9iqMZivpcX787taZSMUixGIh7b2jLMgMQ+0uo29Qx7vbK2kfU4EIBA7S6ewEVrPFxkffVyMUgJtSysU54SzOchASFqudh6/LYufRJroHdYQHuLNsVgRHSzqYnxHK8bFiy2kIhQJ+em0GcpkYL4//+fihf/c57BnU8fg7x2nuPPO9yCQifn/bLPzUcn7zxnGGNEYeuCqDth4N+wvaKKjuwWazkzM9kDe+LuOWNcmYLTa6+rUE+brh76Xg8z21E3o1ApTW9bF2YQwLM0InbWe6OCcCD5WUg0XtZCb4kxjpg1Qq4o7LU3n9y1KXuWlYgDur58XQPahFrZLRO6R3zplPY3ZqMEVVPTzzk3n0D+sZHjUREeSBUOB4d7/wcaFzew+VlNvXpgAOfyBvTzlCocBJKjS0D5MU5U1n/xklznUrE12Mj8HREvzmt2U8dHUGYOdUbS9x4Wr0RgsCIQR4T+7TE+CtdCGZAryVXHFRHG99W8Ylc6fx1hiheTbkUhFpMb68t72C8KBYnng3j5lJgdx/ZToIHHP0/QVtfL6nliVZYdx/VTrv76hEZzAjlQgRCgXcsjoZqUTIoeIOCqt7SIv1Zd2iGF7/stTF5uCHEy3cs2EGn+6uoblzhLvXpzKqN7F2YTQqudhBMvXrMJot+HjKmZMazFcH6rh2eQIeKhHDGhOd/aNEBnnyxZ4acpKDsFhtaA0WXt1S4nIfF2aG8v3xZoc3ar+W7UdcTewrGgd48eMifnPzTEQiIUqlDKXyv1OEmcIUfiz4URNA/y6WLFlCQkICg4OD7Ny5k/vvv59XXnmFBQsW/MvHtNnsjIxMzLxPBrlUzPYjTVwydxoFVY4XanyEN63dGroHdOzOa6F3UMeGJXGsXxLHgy8dZG5aMCfKu2joGOGHE83ceEkSnm4yalqHHM77WsfAuiAjlGtXJGA0WzlR3uUkf26/PIWXPyt2iQtPiPTiqqUJdA/oXAauic73NCob+7l3Yzp7J5C7AsxPD8FutzsrCdhBJBxf1TlS0sETd8yionHAOXm6fE4wFyUqkTQchv37CA+ZgVYci1yq5KfrYsFmxWizc6S8iy/21fHgVek8fF0WGq0Ju92ORCLC11POH98/OaGyyG53TPSmhXjSPajDbrc7o3QBaluH+P5EMw9fl8VfvyxFb7Rw78YZbFqZxPs7Kl1SVVJjfLl0bhR//OAkQgEIhULU7jIWZ4ahkEvYk9fCt4cacFNIyE4MnDRl5ct9tfz0mkz6hg18/IOjpzzQR8nta1N569syegf1vLOtgifvmkNd6xBVzYME+arIjPfn5c+L+ckVM3j2wwIXv4ShUSNvby3nkeuzuOKiOJ5+P38ccefoabc5ibm3vinj/o0z+G93SotEQjw8FIyM6LGOVWv+3UXjv/IM/v+Eie7p/yVcqNe/O78VoVBAuJ8SjWY8uf6fgMnomBQPDukhzOvfugf/l55DsVjIzqNNk/771kMN5CYFIBVNTgCJREIKq7onVGf2DRnYm9/CytyI838fAgEGs40RnYmb1ySj0ZpYMz+alXOmUVbfj1AoICcpAA+VlF+9dpSn7zmTWjowYuBoaScJkV6o3WU0d2nGotenObf529cO772y+n4OFrcxL8GDmaFWNEVHENjMWFbOpt0WznNf1tE/rAeBgMaOYYqqe8hNCeInG2YgFgtobB/h8beP8/jts/npnw5hNFvZdqSRezakcbKym+9PNHPPhhkcKGzjioviOFDQwop0bxQyEZXtelbPi8JstVFae8bbIzHSi3uuSGfXiWbWLYohMyGAY2WdvHRW4cZdKeE3N+fy9Hv5uCkkzJsRwp78Fl77opQHr8pwFlRO1fexcs40vthXR1H1mdZytZuM+zamc8+GNP6ypYS2nlFmpQShM5hRyMTjFLI2u0ORIJeJx9rgS+gdMhAR5M6ta1Kobxuie0DHix8VojVYKKrp5eY1yegNFpq7RvBVK0iM9OZgURtRwZ4MDk4+r5oI/wkC9d95Du3Au1srXcgfcKi3f//mcX55Q7az3chgtPDprhqXFvzjZV2kxfry7IcFeLpJUbvJGNQYyU0OPO/f9VBJGR41kh7vT15FNw3nFK1mpwbR2q0hYZoXD12dyYc7K/l2TIF27fIEXnpgIUdK2hnWmkiM9CYq2JOdx5v44XgzD1yVwYc7K3ngqgxe/7KU7gEdajcZMomY5BhfZ7T6aWQnBbB0ZoQL4TCiNWE0Wblk7jQigzwAO7/clM0zH5x0tjE9eedsUkOkqFUSBnRWBkcME8aZA2NK/RREIiHfHGxAIhayICOUYD83kiK9J1QC3bAqiRGtkWW5EaTH+eGjVqDVm6loHGDm9EDWzI9i+5FGp2rH20POw9dlYTBZ+O0tuSjlYjZeFMenu2s4ck6bJjg8M5VyMdevSMSOHXellOtXJHKqvo9jp84Ey9SMtfzdtzGdx9864VTdmC1Wimt68faQszw3gu4BPX/96hRZif5kJwXyh3fOGFgLBHDzqkQ+fCiTobJd2HvrCVOHYo3MZeuBLlbMiaKxfZiWLg1FNa5WESnRPrgrpLR0abjiorgJOxcA2ntH6R/SE+yrRK83YjBMroY/Fz+mQsYUpvCP4kdNAHl4eKDRaMZ9Pjw8jKfn31cveHt74+3t8GKYP38+w8PDPPvss/8WAQT80w7zQpGQ5s4RlDIx161IxFet5NUtJXT16wgNcOOqpfE0dY7w6e4aAn1VTAvyYG5aCE+955DPdvRpCfZz47G3TrgkVnx3rImHrs7kUEkHEQHuHCpuB2Dj0vhx5A9AVdMgO481sWFx7LjqyGmkxPigdpPyxO2zsdpseLrJUMhEzE5xxL6fDW8PObNTgukd0nHrZY4KUGSQB+YJ/ClsNhsCgYDbLkuho28UKWYyRTVov3wf5xXVFRJ86d0EmowMf/UtVs0AkqAYVi64hoVps6jvMvDmN2XOSl5ajC/Xr0qatK1MKBQgFgkxmW3MTgnm928dH7eNwWTl0101LJ8VwUffV/P8h4X85qYcshIDuHpZvFNuXNE44IjcNFmZnx6CUibmhlVJNHQMYzJbnSabvmoFHech1zQ6M0q5hEQvBbesTsbbQ45AIOC5zQVOYqyrX0tnn5aIIA9C/N0wmhyqrA0XxdHZpx0XyXoab35bxl3r0vjtzbm8u72Cps4RpGIhc2eEMDctmOc/OpMuVlLX54gH/h+yA7Jabf/RZIaplIf//D39seFCu/6C6h7C/N2QikUTyub/EzitUDndFvy/fQ8upPt/PggEAjT68ePdaegMZmw2O5bzSF4tNvuExsGncaConYXpIZOT6gIBdZ3D/OnTYuc4rpCJuW5lIm09mrGFtp0gXxWHSzq4c10qLZ0jxId7OaOSDxS18ctN2TSNLdhHxoohp6PK9UYLT76bx4w4P/5wQwqSws/oOXj4zDlUnyAoKJY/3nQHgxYF72wtZ+PF8RwoaudAUTt+XgoUUjFd/VrMVhu9g3rnIi7M3w29weJsy1DKxXT2j5IVISPD1IM2/31sBi2LwlNQKK7gJ+uS6ddYMJgs2Gx2GjtGePaDfDatmo6nm4yHXz7k4vECjvHxi721PH77LPqHDfzqtSOM6s2O1NKzvr+5aSHkV3S5kD/gKIa88FEBP7liBldeHMcnP9QQH+HFjqPNLMoMZccEJKBQKCAmVE1l0wAPXJXhJAdUCglHSjqoOSt1bFBj5LkPC1g6M4LIIA/2FbRisdjQGSwMjBgJ8JD+rwRt/qvPodFm58ip8eQAONQr3QM6ZyhH94COsAB36tqGnNvsymvm+fsW4OUuc5gvd2nwcpcRFuDOrBR3TpR3TXjstQti2FvQSkacP5fNj8ZgslBQ1YNEIiR3ehB9w3re3V7B8/ct4JevHkZ71mL+g++q+Gp/Hb+/bTZ781uICHKnd1hPcpQPIX5uuKsktPWM8vqXpaxbFIOXhxxPNylCgYDf/PXYOBIwv6IbPy8lOUmBzkRdTzcpPp5yWro1vL+jErPFxszpgTx333yOl3WSECDBf+gUbuVfYhnuJcA/AuXcq4j/SQ4dwzYkYiFVTYPsONqIzmChrWcUvdHCDZck0dWnI9jPocjfndfMzWuSOVjUxvfHmzGYrIT4uXH1snj6h/VIJCKW5UZit9v56PsqwgM9WDozgne2VbAoM5Rf3pCD0WRFIhYS7OfGF/tq2ZN/plibnRTAw9dl8cwH44ukc9KCef2LEuraRrjtshTae7tIi/Pn3e0V476vgRED+wvamJMaxIGi9rFjB1JS20tNyyCzUoL4y5YShEIBy3MjeeztEy4tWCF+bmQHGuh6+7fYLaef45NQsI3Vl/yU7wvbmJkSxCVzo7jy4jj6hgz0D+sJ9XfD31vFT/90EACRUHBem4OWbg2RQR6YTNYfzdg0hSn8t/CjJoCioqLGef1oNBp6e3uJior6p483ffp0Dh48+J86vX8YQhzyTb3RjNli5ZkPzvTo17cN89InRWxalcTGi+PwVytYlB1Ge+8oP7s2i9q2ISQiIW9+UzYurtRuhz99WsTPr8+io1eLRCxEJhUhEQvHkT+ncaK8i6uXxfPwdVn8YSwB7DQCvJVcvTQBncHC4ZJ2Suv7UMjE3L0+jYwEf+alh7DjSBN6o4X0eD8SI7155fNiegb1/OrGHN7dXs6DV2XyxB2zee2LUqrGEhsCfZRcvSyB/IpuMuL98VBKyY2Q0/W3913OzTN3Dbq6QrQVZwy+Ta0V9H74a7zXPUJhtZj1i2PZX9jGycpuSur6aO8ZnbSCMn9GCAWV3SzJCaO8YWDSiVl1yyCXL3Ikk1isNtp6Rpk5PRChUMDv3zxG98CZan5EoDtXXhTHMx+cdErZEyO9nYPrkMaIn3rytgyFTEzvoB6RUOmING0dQjhGjG073EBRTS+Ls8LwdJdxoLCN7441YbbYEAgYI6USUMrF6CaobvQNGTCZbag9pNy1LhWb3TFwnyjr5Ml3810m20Kh4F+wPp3CFKYwEXQGC9UtQyxKD/mv/h3xmEJlygT6n4PNZmduWvC4aPLTyEzwRyIWYD8PcScQCFy8VoQCmJkcxNy0YERCISKRo+BgP/2eFQowWuxYrTakEiF6o4Wn38t3iYPWGy288dUpnrp7DgaDBW9PBUazhTB/dz76oYqWLg0PXZPJK58V0zukR2ewsONYEytmRTqP8c62ch68OpOthxooqOrGboeBYSMqQzdDFWeRP2OwdNbi1lvGO6e8aOocwWy1kpMUwNLcCHoG9Wh1ZiKCPOjoG0UuOzOFXJQV5iR/HJcn4Jlb0tB+/wrmtkrn58b6kxibivG5+g/87Zs21i+K5Y9nzXk+211NWpz/OPLnNPIrulicFYZMIkIkErBsZjjp8QFUtww4/I6GdMSGefHwy4cm3F+jMzOqN+PtIeen12RwqLidvIoufrEpm/r2YarPSpISCQXcuS6VHUcbyUoIQKM3s/1II6V1ffh5OXxsvj/WxLGzfjdhAe7MTgniqffzMZqs1LUN8dubc2nsGCZIHXBBqRL/HsxW+3m9UoZHTajkEoY0Rnbnt3D1sgRe/PhMIcluh54BHafq+rlh1XQUMjFag5k9+S2kRJvHeUcBLM4Kw99bgcFoxWK188LHhQR4K0ma5oPVZuONr08xojWRmeDPgcI2F/LnNEb1Fo6WdrB2UQxvfVvGsVOO7yfIV8Wdl6eydmE0X+2vZ39hGytmReLjKXeSMBNh38lW7t6Q5iSA7hjzmTzbbHl/YRv5ld38+SczsRZvZfjkVue/GTtqMX72GPKl97D1uIiKpkFmxPnx8LVZPP9RAQqZmIERIzYbPP1+PlKxkGWzIgnzd+NnLx/i6bvmEBfuhUgoZGBEz6m6PsxWGx29Wl77opRf35hDdIgnn+2p5boViTxwVQb7C1vZ/H0V06f5sCQ7nM07KzlS6lqkza/oRioRsiw3wqlKFwrgznVpfHuwgfJGx7PgppTQ0j2KVj85uXLsVAd3rktzEMVqBXNSgylv6Gf1vCj2FzhIp+Roh2foub+p6xYGY9nz57PInzHYLJh2/YWMxb9ALhPTN+xoZ9VoTaTF+ZEW50fPoI6UmDNJYVKxENMk5E6wrwqDyYJkanI7hSn8uAmg+fPn8/rrr7t4Ae3cuROhUMicOXP+6eMVFBQQFhb2nz7NvwuZWMiGJbEoZGK27K2dcJv2Hg1J03z4zRvHXF6es1KCWLcohg++q5xwP7PFhsVqJzrEcX++2l83aYQ6OCbCozozfUM67t+Yjt5ooXdQT0yoGpVSjMVi58n38p1k0/wZIXT0ahkaNdLSpSEy2AOZRERl04DTvwbghxPNpMX68+oXJVy+KIbrVyahHauqDo0a2bK3lpYuDScru3ng6gw0tecQcUIR8rAEuo99NcFZ2xnZ8zZrL/kld71SyKM3zaS0theTxcZrX5by4v3zeePrUxSOVQOFQgHz0oLJmR7I+zsquHReFKJ/IvmqvXeUzAR/tuyt5ZY1KfQM6BjRmogK8cTPS8G2ww0uPgaSsxYFQ6NGFDLxhD5IAEuywzhY3E5OUgAffFfp7JEXi4TcuS6VGfH+RId4cKKsyyl5BsdEK7+im2GNkauWxk/Y/y2TiHBXSSmu7iUswB0PldSFbDwbs1OCkIrPWqxMYQpT+JdR3jSA1WYnOni8Z91/Es4Y+Knq5j8Fq9VGXJgXQb6qcQk6MqmIDUvizkv+AAjsdlbMiqS4phehUMADV6VT3TzIy58VYzBZUcnFXL4olgXpIVitNt7bVsnxsk5sNjuXzJ2G3mhhsrX2N/vrufWyZCxWG25yOe29o2TE+3PJnCgE2Pndrbl0D+iobx/GUyXF002Gv5eCnkGHl8nT7+VzUU44v9iUg5+XArnIjvHQXye9FuOpXdyx8uc0zHSoCxZnhvH0eyddSJnUWF+yEwNwV0rQ6MyOCPSzfANVCjHGvjYX8ufMDbcweuhDFqeuQ6M7dxwUYJ4kyRMcbUk2u52dx5p45p55fLKrmmc/PInVZuebA/XMnRFMiJ/beZ+B/mEDQoGAV7eUcMncKO66PJWv9tVxcU44VyyJo7FzGIVUTJCvih1Hm6hsGuCi7HCe/7CAn12XRWldH72Deh576wTP3zufWanBNHeOEBnsgcls4/mPCpzJZXa7I3I+PtzrHzYBv1Aglwjx9pAzMDJxwTA80N35nXcP6KhvG+LGS5L4bHeNk5iRSUWUN/aPi/KuaBxg1ZxpPH/ffAqqurFa7cRHeFHROMCvXj/KL67PpmtAh7eHnO4B3ThT4+gQNSerxkenn0ZhdQ8RQR5csywRg9FKUU0vnX1aHn/7BM/dO5+IAA9GdCZKantp7RlFJpm84V1vtCAWCclNDmLpzHAGRgwTJm1p9WYwaNAXbJ/wOKbD73Plgp/z26ZBimt6GRwxcO2KRPRGC3vzW1i/JM6xncXG1kMNrF0YTU5SAP0jBhd7gnOhM1qYMyOELfvq+OC7SrzcZcxKDSY6RExjxzAmi3Uc+XMax0o7eeH+BajdZAgEArISA9h+pGFcOqAAsJ7n92u3O8iXNfOjWZYbwZDGwMLMUDyUUsoa+gHGvSNOI8TdjmV44jAZm17DNC/46946Do51MQB0HtMiwM6K2dNYOjOcFbMiUSklXL0snne3j3/neHvIHebcOjMBavmUAmgK/+fxoyaANm7cyAcffMDdd9/N7bffTnd3N8888wwbN24kIOBMPOKmTZvo6Ohg165dAOzfv5+vv/6ahQsXEhQUxPDwMNu2bePw4cO88MIL/+PXYRdATJia9p7RcYkZ4KhCzUkL4bG3jo9TqRw71cnqeedXO5nMVl74+hQ3XjKdIB8Vfl6TK1DkUhGebg5zNIPJSrCvivKGPqeZc337MDKJiA2LY0mL80OnN3P0VCfTo3w4UVZH7Vly6LPR2aclLtyLxo4Rwvzd+d2bxyckopKifBxeCR6uEw6xhy/mvsnl9ZahbjxEDin5voJW5owZSuuNFka0JrISA1m/OA6RSIBAIKCle4QRrcOQ+an38vjZtdmTHjsmVO3i6xAV4skT7+TR1jPK7vxWAryVbFgSy46jjSydGeEisQWoaRkiOdqHsnrHILh5ZxX3b8zg1S9K6D3LNG9OarBDjn6kkOQoH5dqssVq4y9bSnj2J/OQSUXsOMfkzvm3Woe44qI4xCLBuN/SRTnh9A3p+GRXDVKxkF/dNJMNS2JdiDpwDJTXLEuYIn+mMIX/EMob+/HxlDvfrf8tOGPgzVPP7j8LiQB+f2suWw81sCuvBZPFRnaiP9cuT0QlEf7d1BibzU5UsAcZ8f6EBbhxoryLw8Vn2me0BgsffFfJqN5R+Dg7Hl0iFlHTMjTpsdt6Rzlc0sE72yq4fFGMI6LcbkelECMRCymp7cNitZKd6I9AIKCmZZCHrs7kT58WOVu/th5qQDQ21/BSCvE7t9p+FuxmI1WN/byyrYl5M4JZmBmGp5vURTnc0D6MWCTkjrFQgo6+UaYFe1DROICPp9zxG2wpmvRvGJtOkTv/Zr7KH+CqpfH4eMrpGdRzqKiN5GhfvpjAkBsgI96fisYBTlb1cN3KRJe2O5sdTlb2sPasYIyJEOLnhlQsZEjj8McL8lVx+9oUPFUyWrpHKKnpZVBjpK1nFB9POQ9elcH7OyowWWwMjhicpIjNZuebQ/WsnutQsvxwotnFP+Y0TGYrwb5KbD+yMVUmErJpVSIvfjz+e0yO8sFNIXHx/Pn2UAPpcX78fFM2KpkYkVCIu1LC7JQgDpeMbyU7VNxO4jRvjpZ2IhIK+GJfrXPeYjBb6O7Xsn5xLG+MJUSdDTelBLfzpLK6q6TUtg7x9f467r0ynZrWo1w2P5roUE+GRo1MC/Fgd34rFpud/mE9GfH+kx7L20NOoLcStbuMwqoe2vvG+3wBuCkkmAc6wD7x92zTjeAlO3O/mrs0BHgp6RrQMjs1GLFYwB2Xp1JY3cPJii52HmvmJ1fMALtjbn5ugt1pBPuq2HqgnnuvmMHfvj7FoMbIjiONiEVCrrw4jpEJio3Oc7I7kswSIr2RSR1Gz5kJAWQlBqIzmPnmYD39wwaGRo0syAxld17LhMeZkxqMVCJk3oxgfvrng1itdjatSkImFREX7iD2OvpGyU0ebxeB/fyKVYHNwuFzfIquX5nIkMbI/S8ecL6bFTIxD16dwbXLEvjw+yrntoE+Sn65KYc/fpDPg1dl8k/Ue6cwhf9v8aMmgDw9PXnvvfd4/PHHufvuu1GpVKxfv54HHnjAZTubzYbVeuYFExYWhslk4vnnn2dwcBAvLy/i4+P54IMPyMnJ+Z++DIxmGxKxAKV84sEsJcbXKd2eCH1Devy8FC5kwmkIBOAzNll55fNibl+bitpNRnyEl4vU+TQunRdFUU0vf/v6FAIB5CQFclFOOBUN/aTG+jGkMXDLmmS2HWrg8721BPooWTl7GhaLjVB/90kJoFB/NyfzbzRbJ1UhBfuo+O5YE8tWJ7h8breaEUjOv3gSjJlLN3aOMCc12Pm5Qi6mqXOYN74+hUgI916RToivG4dL2jnR28XyWdOQSoRsWBzL5+cosKRixwD616/Gom/dZcSGeRETqqajdxSbHaecvKS2jxWzpjnlpzKpiLlpwU4/oD9/WkxLt4b23lH++lUp1y5PINBHRe+gHpVCQmldLy99XITN7pDKvrv9jIrHT61gTlowWr0ZkVDgMuk6FwaTFV+1I2HhNFJifJgR58fT7+UDjgrTd0cauXnNdLITA9hxtJGhURMzpweSGe+PVMhUTOYUpvAfgN1up6xhgGlB/131DzjUjUKBYKoF7F+A3W5HDKxbEM2lcx1FFbFQgMBu+4ffhSK7nTvXpqA1WnjgpQMTbrP1UAM/vz6Lbw7WOz/rHdIR4udGTcvEMeKh/m509GkJD3AnNcYXi8WGzeYIKrDb7Ph6KTBbhDz4p0OsyI1gVmow+RVdXLsiAT+1I4XLz0uBu1LC0VOd7DnZz+0p/4+99wyMoz67eH8z21e76r0Xq3dZknsvYINtbFwxmN57SUIJKUACJJAKJKF3g+kYTDG49y5bXVaxem+r7WXuh5XXXiSR9733Ji8kOp/s1czOzLb/M+c5zzmToX50w1QxsZhDtUYcThfbjzZTWtvDTStyvGK7l81I4k/vHEenUfDwNZM4VdvNmgWp/PL5/YQFamntNhKhGDvFSJArUasUZCWF8P62Gtp6jMSE6Vh/YTpqpYzZE6PZ8R1PJa1azpIZifz+zaOolTJGu5MzWRw0dw2xYs4EXv1spF9JbLgeSZLo7Dd71uq2biNvfVlJzoRgJmWGs2JOMoZh8+chs42XN5d5UsMcTgmV8pxaxB26YcMlSaOSP4B7ZFyS+HHRP25lXGZ8APetn8hrn5fT1W9GpZCxoDiWS2YlgSRx+6pc3vqqit5BCxqVnIRIPyKDtIhnvzMuF1cuTqej1+RVH/r6KLlrbT6vflbuiUU/HwdK28lJCibYX8Ptq/N4Z2sVXX3u488qiGJKdgSRwT5eRuLnY3ZBNG99WUnPgAWTxc6DVxXx1peVvDVMDAgCTM2OZE5hNP0GK3aHa1QFIMD6C9P4ZFctB0rbeeSGKXy0c3Ry0uF0/dM6FcFbadTWYyQlxp8dx1v4eFctAjAlJ5JfXDuZv2w6gSDAzmMtLJoaz0c7akc8XVpcAD5qBd8caaKl28itq/IQhhO9tCoFO443kZMUPObpiKKASilDp1VQUd/LG19UeCwEAn3VXLcsi6OVHVw6J5nuAdOoCX5+OiXzi2MxWe288UWlZ//nPz7FU3fMoCA1lC/2NVDbPMD6C9LQaRRehtgGpwqdSovLOtKsXJApsMj1Xr/BkcE+6DQKXt/irfQxWx08/tphnrh1Gr+Mmcyg0YZWLUeSJLoGTBhMdpwul1eS8TjG8d+KHzUBBJCUlMSrr776vdu88cYbI/Z57rnn/oVn9b+DQi5ic0j46ZSjjgbpNAr6Bsce2/psbz03Lc/msVcOjSCJLpqawIHSNiTJTQz8+d3j3Lkmj1suzWHTN9XsP9WGa7i7sHRGIjnJIfz87/sAt6TzYFk7giCQGOVLiL+aiGDdCI+iv246wap5yVw0LZ6dx5tHFMuC4Faf/OHtY2jVcvRa5aiJGwB9Bgt+OiWn2iFnQhG2027CwmnoRe4XAjI5OEfup4rNoqHPfdzQAK2HYCpMC6Wz18zU7Ei+OdyE0yXxx3eOo9cqKEwPc8+Wxwfyyc5aAv3U3L2ugG1HmugzWMhICGRaTiQbv66iu99Cenwgaxem8rs3DpOVFMxd6wrYvLuOKxal89KnpYT4awgL1JAU7UeIv4aFk+LYdqSJbUeaqG8d4J7LCoYN/wz46VREBPnw5BuH6e63eBE684piaewwMDEtjEPl7Vx9cSY+GgU7jjZx6nQ3t67K9Yoc/S789Sp+dkUhfQYr/QYrCZG+7v2PNRMdqkOjlrN0eiLJMf7IXBIheiXXLM7AJUmIAp6bi3GMYxz/39Hea6LXYGVOgf7fcjy5XBgfAfv/AJfTda4wckn8b2lwGRJGs33Mho3D6RphAn6wtJ0Hryr+p+vnjZdko5C7o8g7+kxUnelzp00WxqBWyvjJ+gJiw31p6jDgo1WiUsiHlUflrJidzN6TrZw87b5h7p2cgX9QFPaeFq/jiVpfnMmzOLD9XAOiq99Mc+cQiVF+nkSmpGg/z830sapOClJDKUwP5f4NRcPkloQrNh8OvT/q6+CTPZtTzVaeeqcEEHA4XVQ29FHZcJRbV+YyOSOcSZnuxEyDyUZWYhCTsyJ4eXMZRrOdJTMSUCncvobW7ygj/rTxOE/eNp0rL8rgvW+rMVkcCIJbPbRqXgo2h5Pn3vcmv2QyAZfkNop9d2s1A0NWHE7XiLG8lFh/r3osLFBLaV0Pa+an8uTrh3F+Z4dJmeHotIofcUNFINhPzTVLM1EqZGhVckL8NciQkCSJwpQQshODsDslZDIBjVwc4XMkR+KedQU0dhho7TYSoFcRHuTDVwcaRiV/wO2d+Mpn5ThdLhZNieeWS3MJ0Kvo6DUR7K/mHx+eJGtCMBdMjuOr87ynwO0jZDDazinWBHj5kzJqz0sTkyTYe7IVpUJkfnEsm4aTuD7aUUtJjdsuwEejYN3CVJKi/PjrJnfK6ltfVTKvKIZ9o4xUWWxOFP6hWJUaJNvIhqwyNI6yTm+SMCpUxx83Hqe565yqaMveeo5WdHDLpTk4XRIHStu4aUUOq+en8OW+eowWB5IkMSkrgoWT4mhoG0SjklPR0EtFQy8yUUAUz60DS6YnkRzjP2qDdnpuJGqlDKPZzj8+8lZa9Q5a+MPbx/j5NcV8vLOWFbMnEB2qZ1JmONuONmG2OJiUFcHMvCjK6np4f1sNXd8Z8fp8bz0hARruu3wib3xRwauflXPv+om89WWlxzD8ixP9XDP3Kga+GHlfpp6ymspO7+/3vKLYUQ3bwd243H28laZOAxX1vdgdTrRqBb+5eRpXLEof/j0fmUQ8jnH8t+FHTwD9J0ApF7E73KZ19142kUdfPuhVwHf0mrhwSvyoUY3u/WUMGm08csNU3ttWTW3zAMF+ai6cEk9CpK8n3UkQIDUuAJ1WwRtbKggP9uHRm9xeSf46JR9uP+0hf87HwbI2FhTH4pLg7a+rRj2Hj3bUMis/mp9eXsjfPizxkFg6jYIrL8pgz4lWTBYHV16UTlPHIPOLY0eY/wEcKmvn2mVZPPrSQR5cs5zo6GycJ7/AaTJgbq0lZMntdH38JzivLJf5+BGw8DoeecV9bvOKYnj2vRImpoWy4aIMfvXCfibEBHDXmnxe3lxG/5AVg8nO4fIObliejcli95hXBuhVTM+LIjMxEIfTha+PimuWuAuffoOVv394ktZuIy1dRiRJ4u51+fzi+QP0Dlr4xbWT+PuHJ7lycTp9BhuPvXzQUzw2dhjYebyFW1fm0tFrJDRAQ8WZXq66OJMte+upaeon0E/NJTOTEAR4/qOTXLcsm5gwPf1DFvRaJUtmJGG2OtCo5GNKqsMCteg0Crr7TSRH+iKF6dyFpyRxQWEMc/KjEQWQi3huQiQJHMOKgfHbxnGM4/9flDf0IRMFYkJ1/5bjKWQitu9RCI7jXw+N6vtLq/N94cDt2fTl/gbuWpPPS5tLx1w/4yJ9GTDY+O2rhzxNg8YOAydPd3Pp3GRmF0TxqxcPeKmBI4J9uH11Phabg7S4QBZNicdic7LlRAcrZt+JpvEAzsodSE4HygmTcaTN5zfv148gLE6d7ibpPALo/DFDp0tCq1Fworqbjl4TN1+agygIbD9Yw7wpa7Htf8f7+gMj0BVfgqzdxd3rCgBQKmR8deAMRyo6eOWzMn52RSF1LQNcNC2Bpg4DdS0D/OrFA7hcErHhehZPTcBkdXDf+ok8/tphr/PVqNxeHwMGK0/cOh2H0528JBMFvjnUxOf76keQRtNyItl6sJGTp0V3nPT7I9VRE9NCMVkcBPiqaOt2N6KWzUzi928eoaXTwO/vmMHGr6qoaOjFT6di0ZR4QgM19BmshAZokH5k30tJEPhkdx2b93iPnKuVMp64dTp+ajlOpwu54CaegVFNriUJZCK8saUcx7DPpFwmcttqt2nwdz9rseF6REHweA+9s7UagAeuLMJosfPGxgqaO4do7zHx4FVFLCiOZf+pNiQgMyGIyjO9nrQqURSQi6IX+XM+dh1vYVpuFBdPT6SqoZespCAumZWEn05Jd7+Fjj4TO441DyeywonqLnKTQ5iVH+VJvDqL9PgABpwaQpbeTc+HT4Lr3Pstqn0QZt7AO5vOkVUBehVKucyL/DmLjl4TjR0Gz2vT2WdiflGsxx7AR63gWFUHT7x2mJzkYBZNjefD4bFJp0vyEJE+ajmDRivrL0zjvW9rKBv24xEEt4fo6vkpDAxaePebc+p3tVJGRkIQougeJz1S0YFMJmAw2QjQK8lPDSF7QjCHytoJ9tfw21cOjZlu295jQq9V8uInpSybmUR0qA6lQsa96wsYGK7FLVYH7ZpwYtb+isHdG3H0NKMICIf85Rzo1JIS462e9der6OobqRY6i84+EwF6lec30l+vos/gVoIZzXas1rFH4sYxjv8WjBNAPwAMWRw0dwxhs7v4cHsNf7x7FvtPtXGmbZDoMD2psQHIRIEAvcpjCnwWogBLZybyzHsnmDMxhmk5kczIjWLQaGPLvga0ajkXTIqjoqGXJdMTKa3rYd/JNoozwwnwVXvSQ+5cm8e3R5pGPT9Jcheobd3GEUljZ+FwumhoH6SkpotHb5yKze7EanMyZHbPEPcNWrl5RQ4RIT78ddNxNizOYHJWhCdVAdw/0tdfko3d4WTVvBR++24VCZF+LC64kbwJQXx6sI0IQcf0a57GVLYbabADeWwOiuhMagbl9A5YuHF5NoG+au65rICyuh7au030Dlo5VNZO36CFa5ZkeuTbDqcLm8PptYj3GaxexFRNUz8RwTq27K0nKdqPn20oomfAjM3uwuF0Ybe76O43MzkrnIOl7VQ19uNwSrz2efmohp4vflLKfZdPRKNWYLYOEh4UxIo5E+gzWOnuN7O/tI0p2REsmpJATJiOhChfuvssPPt+iacYUilEHrlhKoNGKydP93ieOzxIy82X5nKmfZD0uCCvQkwmE7E6JY/xtk6rQCUTcP2L4qjHMY5xuFFxpo+IIC1K+dgmo/9/Qi4bOwVlHP8e6DRywoO0XmO4Z5Ec48+ZtsERjx8sayc/NYTf3z6DQaMNm92JRqXghU9OUV7vTrFUymW8/XXlqCPAwX5qnnz9CIG+aq5YlO4xtTVa7PQNWvHXqyit6+a9bdXoNArmFsbSZdOwvSWRGYV55CUH8+H+dj55oWxUL0KdVuHlQaJUiAgCHqXTrPwoHnvlEC6XxP5Tbe7x4tx49pSLTFvxKLK6fYjWQYTEIlQRyRxusvPXTSc8RIxKIWP9hWkE+6n58sAZBEEgNlxPiL+WEH8NfYMWpuVEUpAWSnK0P0MmO+9vqyEzMZDf3jyNg2VtdPWZSYj0Iz7Cl5c3l9HUYSAnOZiBISuK4e/fqdruEeRPWlwAfjqVR41S09TPPZcV8MG2Gs60G9BrFSyYFEdilB8dvUasNidymci6halo1XJWz08hLS6Qf3x0irzkEDYszmDIbONEdSeDRitFmeFu5YqvGvFHZARttDpHkD/gVrq8+Gkpd6/O+x+nhapkIreszOMXz+8nPEjLsplJKGQiv715Gmargw+3n6a6qY9Z+dFMzgr3NC7PIkCvwu5wugmTYU/G1fNTKKvrQaWSo1LKOFrRyebddV4N1ACdiv7v8cBxuiTsDidPvn6EnAnBTMuNJECvwketwOFw0dThVtekxgVQMjxu9saWctZdkMbPNhRypKITh8NJQVoo0aF67v/bXmbmhHL9dX/EVLEXe3cTqpgMTMHpPP5+Hd397jouxF/DTy6fyKZvqsc8t4Ol7eQmh/DgVe6Eutuf2u4hdvRaBbeszCU1PoCjFR1cOmcC7d1GL38df72Kn15RyAsfn6Kz18SSmUmsmD0Bu8OdPFhS04XZbKej30xTpwFBgDXzU0iI9ON4VScOl8T1l2QhF0UumpbAK5+Vc6isnchgHzYsziAtPpBBo424SN8xCaCUWH/auo3ML4olyE/N3pOtOF0S+akhBOhUaFXu2l0W5Me9b1dyQf5qotKVdA7Y2bylE6O5j8ezE7wS49q6jcRF+Hp+F7+L+AhfTgyruAAWTorjSHkHZpuD1m4jKVH/+nHscYzjh45xAugHAIfTRVv3ENNyInn3m2oeefEAj986HQFo7Biib9BCaICGn18zibe+rOR4dSeS5PYFWLswle1HmhgYsnG4vJ2rl2Ty2MuHvJ5/9bxkIkN8ePTlg6iUMhZOiiPAV40kwQNXFfHa52X4jOE/BO5OgUIujpA2fxcKmci3h5v45lAj962fyP5TraxdkMYVi9Kpbx1ky7565hTGoJDJ+NPG4yyfPYFfXjeZngG3B47N7uJwWTtDFgcul4ufX1PsJlEkiX6Xmo/2uv0AnpeLXDw9j+BANWWneti/8TCP3zKNB68qZsu+Bo+MNSnaj8lZEayel8yBsnZqmvr5w0bvouJnGwppG8PQD2DIZEczTBjVNg/wzHsnmJoTyWufl+Pro+SGS7KZWxhDYXoYLwwbFdodrjFTM6x2J5Ik4eejZFJGBEaLnbqWAT7bW+/p2h4u7+DqJRk4HC6cLvjD20e9ok6tdhe/eGE/928oYtW8VNp7jPj6KDGYbDyz6QT3rp+IKEoeOY8gCrT3W3j67aN0Dh9Dp1Fw4/JsMuICEH5EBek4xvFjgkuSqGrsI3fC2B4M/39D/j0xuOP490ApCjx4VTG/eH6/l99dWKCWu9cV0NVnRiEXvW5U81NDmJQRTle/mYef34/V5uTBq4qpbT6nXHA4XKN694F79Dkpyo+c5BBe+vSciigl1p+rL87kob/t9TQlDCZ3Y6aqsZdZ+dH8+ZMyfnd7JKFBvqOSPwF6FZfMTOJIRTsT00KxO5yEBmi5Y00+Ww+eoaVriK5+s0etYLU7+WDbae5al09hTgJ9VjvKzBUoZAIltd1EKSSe+k6qkdXu5OXNZTxwZRG7S1qx2p385pVDrJqXzPTcSGYWRBPk626CvfVlJQfL3OPrx6s6+fm1k2jpHEKpkLH3ZKsnFTU3OYSwQC0ymcAfNx7HanNyy6U52OxOdp5oQUBgQXEsUSE+9AxamJoTwcCQDV8fBSH+GpbMSESnUWKxOdhxrJnP99Tx5G0z2LA4HZ1WwcHSdjSqCPadbOWFj0vRaRRcdkEav3xhv1cN8P720/zk8onoNAq08h/H+IlMJnLy9OjJTACltT3YnC5U/0M/FafTRUSAmmd+MpuOHjPPfVDiSfbSaRRcuzSLqy7OoKvfxG9eOeRVbwoCbFicwaHyDiKCfAC3x6JMJmC2OYkI8cHXR8mRik6v75RaKePOtflo1WPf6oii4ElPrGnqZ+2CFBraBgkL1BIRpCXIT0NchC+nm/vRadx1sktyh3lo1XKyk4KRyQQ+2HaaFXMmsHRGIrMLoinvMRObczGCS6K+00BVTT9XXpRB76AFXx8lUSE65HKRgTGMys9e48JJsZSc7ubdrd5EkcFk5+m3jvHQ1cXuWHiHi9hwXxZMinPX1GoFMplAV5+J+lY34fzOdxT8ogAXTI6nd9BCVIiOi6cn0tI15FFcAXxzqJHc5GCuWJTOobJ2AFq7jcjlAj97Zg9P3DKNJTMSOVjaRnpCEAsnxaFSuN+bsroe5hfH0tJpYN+pds/I6NnnnZgWypyJMfztw5PkpYRw9cVZbPy6ioZhgjwrKYhbVuayZV8dBamhFKWH8cW+Bpo6Blk9P4VfvXBgxGumUclJiw/k3WFibXpeJBqVHJlMoLvfQmKU35jjueMYx38TxgmgHwDkokBqfACVZ3rZsDid17dUUH2mD5PFQUVDD+UNvbR2GfHRKHjsxqksnhqPw+lOLtj4VZXHnHBWfjQKuYx5RTFeSVROF/zl3RNu0711BXy88zSf7KpFktyF3foL01DIRVJjA6gaxYSyMD2MsvpuwgN9CAvUjojjBHc3wu48Z5b57jfVrJqbTEevEZeEJ8XhUFk7M/OjeGdrNe9vq+GD7TVo1QqsNicOp4t7LivwFK87j7cwKTOcmflR9A1aPcd2OFx8fJ4Znq+PElEQsNicxEfoGTBYWDU/hdZuIy9+Uooouos8f72K594/6fEe8ter8NOpiAnzpbTO3UkQBbyUOxkJQdS3nivAa5r6WbcwFQCDycZTbx3lyVuno1LJEP6H0QIKuYw/vXscURCYnhdFaKCWm1Zk8963NVQ2uF//d7dW8/NriunoHPIif87CanPyh7ePcu3SLF79vByrzYHDKREdqsPucLpjeYeLHrND4uF/7PO6KRwy23n67WM8fss0wv3UP7p42nGM48eA5uHvb+y/afwLQC77/hjtcfzr4XJJ+Kpk/O7W6bR2G90Gx6E6QgO0KEVICNPxj/vn0dlnoqnDQFKUP75aBXaHkydeP+JRqHy6q5ZbV+Xyl3eP43BKmKyjK3BlooDd6WRGfhSPv3qInAkhBPpp6Ow1kZsczMuby0ZVpFY29LF0hju2uaXTQFK0H/kpIRyvPtc9v2JROtGhOt74ooJBk42ClFBm5Efx4Y4amjqGKMoIY82CFLr6vJsei6bG8/xHp6hvHUSrlnPl4gy+3N9AQpQf1Wf6x3ztvjncyKLJcR7i7L1va8hICOSJ145gczh5+JpJHChr89zE2Rwunv/oFA9cWcSX+xuobRkgKcqPWQXRBOhV3P2nnWxYnM7tq3Lx16uwWJ0crmgnIdyXOYUxPPNeCaeb+9Gq5UzKjCA1zocZuVE8/tph2s+rdWSiwO2r83jjiwqP8uDe9QXsKWkhNzmEsrpeLpgcxwfbakY0gFwuiT+8fYzf3T4DUTm2f98PDeI/5ar+d2a6kkvC6ZS8RhjBXY/8+d3j/OGumSRE+PGHu2bR2Wdi1/Fm7A4Xl8xKwmJ1cqZtkOxhQ2OtSs6g0cag0cZnu+tZNDWB9RekYXM4aWw3EBqgITZcz9HKDmLDfImP8PUQC+djZn4UkuT2KEqM8qO1a4j2HiPHqjopSnenCR+v7GBSZjh6rZKt56VgmSwODg6TIktnJJIzIZjTzf3c/ced2BwuVEoZD11VzDPvnaSr34wowKr5yei1Cl77vBzFsKH2WOEpswui6eo38/HOkebPwLBvVi+LpsQjk4m8s7UKQcBTUztdLv541ywvpd75mJQVQU1jHykxAWTEB9IzaPGQp+ejpKab/NQeEqP8qG8dcHuKWt0quG8ONxEepOW3N0/jdPMArwzbLAiC+97BanOi0yjYeWxkiu/Ryk7yUkKIDddzorqLtm4ji6fGk5UUzKDRikoh54nXDzNotPHF/jPEhOn52RWFIMDB0jZuuTSHt7+qon/I/VsRG67n9lV5tHYPccfqPBIifWlsN/CPj07y0yuK2Ly7jqsuSh9fH8cxDsYJoB8ElKKAQi7j/W015CaH8Od7ZtPVZ+JoZQcAq+a6TQtf/KSU3kELCoWMlzaf9KQViKLAvMIYgvzV2B1Ogvw0nq6AQu6WaVtsTm5Zmctz75d4ETh9BivPvFfCzzYUcu3STF7+rMxDQgAUpIWyZn4KKqUMg8nOPZcV8Ivh7uRZyGUC11+Szae7zo1ONbYbCPLXoJCLHCxtZ9GUeL7Y30B5fS/LZiYxIdqf0839SBKesbJpOZH0DVq8TLAPl7ezbmEqf9x4jOuWZfHUW0dHHPuONXnotHL6h6z4qOXcsiqP379xxMtcsKKhl5TYAG5ekcMfNh4jMtiH+68sQi4TWTgpjshgH6JCdVhsTtRKGdWNfWw92Mj84hiaO4ZYNDUBg8nGh9tPo1TIePDKIpyShCgImG0Ohsx2ls5MJNhfQ2igliA/tVdk7lmolDLsDpfnNS6v7yU7KZhZBVGsW5jGr4c9DkwWB5IEHb2jy2rB3QFSDZv3ASRF+XHHmnx+/eJ+Hr1hqvv1kYvsOtg4piJg49dV3LUmD6fTPSpgtjnx81GiVsgYd4Iexzj+v6G6qR+ZKBAZ7PNvO+b4CNgPAy6XO1UsLsSHhDAdLpcLQQCbC8pqu9h3qg1/nYqFk+Lw1SoQJYlBs8OLPCit60EhF3no6kmcburHYLKTmRhIWZ336IPTJREaoOVgaTsPXzOZo1WdtHcbmRDjR1FGOG9+WclYqDrTx9zCGFRKOb974zBzC2NZODmO0toespKCKKvr8boprG0eYMu+en5yeSFPvXWUt7+qIsRfw69vmIJMFDzKjbBArUd5YLI4eH9bDT/dUMjRig6OVIytLOnoNbFmfgp/eudc9PiB0nZyJgRzuKKDpg4DmQlBlA57mWhUclbMmcDekhYEQeCGS7LRaxX8ddMJzrS7a4DG9iGOVXZx8nQX966fyNTsSLRqOR/trPUY0ZosDrYfdTfOdhxt5uFrJ9HRY+RUbQ8BehVFGeF09BiJCtExJTuCtLhARFGgf8iGViXDT6ckLT5wzPh6u8NFe4+RgGh/+F9bi//7IUkSWd+THpWbHIJSNgazMAZkSjl7DpwZdYTxhkuyOVHdxae76+g3WPHXqVg5L5nJmeHIBZCJIveun4gkScO+NjZCAjR8uP006y9M41cv7icvOYS8lBAP4XCkspNfXT+Zzj4Td63L59n3SrzIlslZ4SybmcSzm45z25p8mjoM7C9tw2pzkpcSAgLsP9XmTset6iSzKIiLpibw+T7vsbiYMD0XTI6jo9eE1eb0/P5abU5MFofHGHlWQQySJPD4a0cQRYGLpyWQnhBIzoRgjzn7WRSmhxLkp8ZsddAxxngVQGv3kFvh9/e9AF41NbibmpctTPNS34A74WvdwlR+9swezFYHv7l56qjG1mex/UgTd67Jp6PXhEwmEh6oJSbM3XA0Wew0dQ7x4qelnu0lya1mb+0ycu3SzDGfd8fRZqbmRNLYXkVHr4k3vqjkwauKCA3QIopuj62uPhPxkX7461Q88tIB7lyTT3yEH8eqOrl2WRZqpQydRoFOq6C+ZYBAXzWVZ/rYf6qNAF81j940DafTxcUzEv+pP9s4xvHfgvFvwg8EVpvbqT49IZCXPi31Wgz2nWojOymYmy/NweF08Y+PTrJiTjLB/mrsDhcqhYxDZe08814JP728kA+3n0YUICU2AF8fFUF+GgL0KhxO16jqHYDXt1SwfNYECtPCWD0vBavdiUYlR6OSc6K6i6ykII5XdhLop+LpO2ay83gzZ9oNhAdqKUgN5dPddV4RtqIoYLM7OXCqjdZuI4lRfty/oYiDZW3sLWnhxhXZ9PRb2Hm8GaVcpGhY+v7a596xrWqVHJdL4ky7gfe31fDAhiJO1XbT1DlERJCW/JRQ+gwWNu+uo7qxnzkTo7GUto2aLFHd2AfTEnjq9hm095qQiQJVZ3pJiw9kT0mrl/opPyWEx26eytNvHeX0sAQ/yE/NzzYU0tBq4KXNpchlIrMLookK8SE1LoDwwHD2nmwhUK/i9lV5PPrywRFjc1cuzuCL/d7Fw6nabuYURlNa201hephHZmt3uIgOHTs5KNBXTXSojvs3FKJWyVEpZJxu7iMqRIdaIYIk4ZIYs7sEbqLOYnfx2MsHaT1LKArulIU185I9fgWCAIgidqcLmSggYzwmfhzj+GeobuonIkjrGTH4d0AuCuME0A8IkiR5DPdtLomfP7/fy6R566FG1i5IYUFhDHaHC71WweyCGEICNHT3m9lxrJlfv3iAxCg/clOCWbcwjd+8cmhEiqZCFIgL1/PYKwc9Y1yHKzpIiQkYMW52PoL91QTo1QyabAwa7by8uQytWk5qbACTs9wpXN+F0eLgk921zCuK5ZNdtXT1mymv7+HKizJ4efO59LCYMB1TsiMJD9SiVIgo5SIz86PoHbR6iJfvIj7Cl+NVXR6fFwCTxc7q+cmcrO1m0Gjj5pU5DA7ZsNicuCSJzbvrOFHdxdoFKXy+p465RTEe8gcgNzmYv31w0q2isjiw2oxIEhw4NfoNb++ghQ+31xAV7MOMvEhe+NjdfMtNDqG9x8jx6i6e6ShBq5Zz3bIsIoJ1zMqPdkfTfw8sVgc/BvIH3ETlnpJWLp6eMOIzoFXLuXZp5nCYhPd+MpmIzSkhIaGSnUsEcwkCZae7R61H5kyMoa3byOY97iaiUi6ybFYSceF6Bow2wgPUSC6JstoeosN0/OK6yfzmlUM0thsIC9LS2WfikllJfLKz1qNeU8hF7lqbj0Ypp6VzCFEQuHF5ttt02OZApZBhs7toah/k4hlJbN5d56WcP1jWTmy4ng2L0zEYbbT3GLE5nCTH+vNw2iT2lLRgtjooSA3FT6fi1Olugvw1zMyP4sIp8bz6WTmnaruRyc6ppGbmR/HoSwcQBbh7XT6Hyjq478+7uHZpFoumxntCPgL1KiQJth5uIi85mJhwvdco6PlIiwvkqwMNtHWPrO2D/dX0DFqYmB5Kcqw/e0taGTTayJ4QTF5yCM+8d8LzO7J72Gh+LJisDsobennxEzfJ469TceOKbPx8lO6UrVcPjbpfS9cQFpsTXx8lg6OMu5ksDo9fGcCcgmhcLhcWm4MPtp+mrduIn07F8eouz/2L1e5ONJ5XFIPLJdHVb+aD7TW0dRu5f0MRv331EAbTORLs64NnPHYNu060sKg4dlwFNI7/eowTQD8AyBUyJAmWzEjAYnWO6ASAmySYkh1BsJ+Gzj4zf//wJMAIaaevTomvTknvgIXSuh5EARZOjiUyROfpxo2Gtm63j8xzH7iTL3QaOT+/ZhKBejWDRiv3P7vXs+3U7Agunp7IrPxoXtpcymd76kbIyydnhuM7LJf92YZCXvyklM2768hPCUGpkPHc+yVcuTiD2DAdkzIj+OUL+71+sM/igklxtHQPkRTlR9WZPn714gEyE4MIDdBQ3zbI5t11PH7rdKob+zFbHfjrVew50TLiec5i66FGbrk0h6hQH1q6hkiM8ufpt46NKEaPV3fx2pYKCtPDqG8dxOmScDhdDJntnGkf5MZLsgkL0vLRjlqOVHQQFqRl9bwUdFoFD/5tHxPTQvnFtZPYU9JKQ9sgEUE+zJ4Yzd6TrRyv6hpxXofK2kmI9CMtLpDspCAig3X4aBTuYsBXPaqn0JrhpJKqM32ez8DCSbHcvjoPEXd8sSgKxIbpOVo5esc1LEjLgdI2D/kD7hG4rYcaCdCruGhyHE6XRL/Zznvf1lDbMkCIv4bV85KJCvYZ9w8axzjGgCRJVDcPkB4b8G89rlwmjhe3PxCIooBdct+wCIJAQ9vgqETMO1urmZIdQYCvu3nw5YEzHCxrIypEx82X5nCyppttR5voN9h4d2sVv7l5KrtPtFBa24O/TsXsidEgCPz9o1MjPHwOlbczPTeS7UdHjmAIAuRMCGF3SSt5KcHkp4Tw7ZEmTBa3qnW0WuQsTlR3ceHk+OHId9j4VRVP3DqN/JQQegetBPmrWT0vBYVcpGfQwud7mxgy28lLDmbJjCS0KhEEkb5BCwfK2rHanIiCe+zlyTeOeB1rYloYH+6o5ZolmcSE6XltczmHKjq8tgkL1DIhxp+wIB90GgW3rszltc/LSYz2o99gZchsRxQFJkT78+jLB4bPTQaMftOrkMk40zFEfKQ/7T1GrlmayUN/805JNVkc/HXTCR65YQpLZyRgtDgICdB4EXznY0K0/4+icSKTiZSc7mbTN9WsW5jKvesL2HmshYEhK+nxgUzNiaSuuZ9AXzWRwT6IkoQggAOB/aXtfHXgDHanixl5UcwvjEEpQp/RxrajTUSFjByHnZ4byeOvuQmE4swwrliUwZZ99Xx1oAGNSs6iKfHkp4bilFwcrexEo5Jz26pcBASKM8P5aMdpREHg4WsnM2S2ExaowUetYMhs44t99YDA4fLTnjrnbN08OSuC5bOTsNqcXuTPWTS2Gyit7UGjlLNybjLd/Rbe31aDxergwauL+XJ/AwfL2rloWgJf7G/wkI46jYKbVuSwcl4yCpnIIzdMoby+h85eEy7JrXavaOhj93CtOmC0oVTI+OZQIz0DFpJjAlg6MwF/vZKAYaXOd709BQGK0sPISgrCJbkJq4a2c6SnXqvglktzeeHjUkxWB0umJbB2QQo9AxZOVHdx7192eanpaxr7mFMYQ0nNyPoUIC85hMqGc8rD/iErf3j7GL+/fQbd/eYxP/MATe1uT6XRCKDclBCPr1lSlB9TciJ44vXDPHHrdGqb+z2+leejvL6XlBh/PtrhPRq3Zn4Kb3xRMeq9xEuflvK722d4XrtxjOO/HeME0A8AZ02WY8P0vPJZ+Zjb7T7RwuUXpnn58Jx//+2jlmO2OLhuaRZWm4PeQSsBvirCArVkJQah+R4jPB+1nNBADSvnJhMaoCE1LoCXPi1l9fxUPt3t3f3Zd6qN5s4h7r+ykEmZEZyo9l4wwgK1LJwcx/GaTiJDfHjug5P88rrJtHUPUXWmj0BfNVNzInnrq0pqmvoZMNpZNjNphEw9McqXC6bE87cPSlg1L4XfvXEYlwRldT2c7TFmJQWhUclJiQ2gsX2Q8KDvH7WQkNiyr4EDZW1csSgdm905gvwJ0KtYtzCVuAhfVAoZU7LdZs2iINLaNURz5xBn2gYpzAhjXlEMz71fwsmabk7WdHPNkkyKM8M5VNZOSU03k7PCWTUvmagQHY+/enjUuM+z72NsqB61Ws4rn5XROFxITMuJ4JfXTeYvm457OkAqpYylMxKJj/Sl8kNvz6athxq5ZGYS8uGuk8PuZF5RLJ/urhvVxHv1vBQPmfhdbN5TzwWT42jsHOLR8yLtO3pNlNb1cNVF6czMjWRUc4lxjOO/HF39ZgaNNqJD/n3jXzA+AvZDgSAKdA5aee6Dkx7vkbT4AO5ck8/rW8pHNGTqWgaQy0Sv9KPOPjPHq7u4dmkmNy3PZtuRRupbBxAQmJgWRmKkHwmRfjz+6kGuujhr1BusPSWtPHhVMTVN/V6qGnCP3Xy+tw6Dyc6kzDAWTIpj36k2jypA/Cd3SmfrD7lM5KZLc/hwZy3fHmrkklkT6Og1khDlR2ltD0fOI2u+OtjIrhOt/Or6yWz8uhI/HxU/vbyQo5UdpMYGsPVQo9eNaWyYnkA/NftPtTGrIJquPhMXTo0nPtKXXSdakCSYmhNBcUY4ZquD0toevj3c6FZD3TSVls4h/vTucQQB7lidR13LAEG+Gg6XdzA9L3JUhRNAUUYYG7dWYTDZmJ4XNWoa1tnX4OuDjaycO4G6lkGuXJzBU28dHbHd7IJod6DEj6BpIoqCx9tm49dV+PoomZodQVy4noa2QR575SBXXZTBL144wJWL05mVF4lDgifeOOKlVNn0TTXfHGrkiVunsft4CyU13SybkcQX+xq86hGbw4nDKeGvU3L5henc/8xuL+/DTd9WExWqQ5LcSm61Uk5ogBaLzcHWQ2e46uIMmjuH8NepMFvsvP1VFXaHi6nZEcwriuX3bx71+m6cfQvSEwKoa+nndNPo6hpwx8TfuDwbURQYMtm4a20+LV1GuvrNzCqIxkct56G/7/cau5qUFYHN4fRYLggCFKSGcsWidAJ91UzPjeRP7x5HrZRxwyXZtHUbvUYeO3pN7D/VykNXFxOgV3GorI9rlmTy7jfVGM124iN8uW5ZFqW13fztw5P469RcszQLrUrOqdoe9FolOo2CVz8vp7XbiEwUCPLX0Nxl5Fcv7B/1I9gzYCE7yd1c/S7polXLmZEXxSMveZsu2x0u9pS0kpMcjFop80oJPB9hQT4oRjE/12kUXDg5jn2nWpmZX8jQsK9mdlIwXX1mAv3UoxJAn+6q5dGbpqJUyNhf6vYDEwXInhDsMX/+LpwuidNN/RRlhOMYXx/HMY5xAuiHAJfThVolQyYKo85Gn4XN4cRH445+/M3LB72KfFEUuGVlLh/uOE15fS/XLc2kudPAF/vq+dX1U5hbGIPR4hhTCj6/OJaPtrs7JANGK9ctzWZaThRf7G8Y9VwaOwy0dZsore3mF9dO5lRtNwNDNlJj/dFqFPzpnePkp4QSH+HLjLwoBgwWAnzVVDb00t5r8uoWbD/SxFN3ziAp2p+S6i7MNgeTs8IJ9tcguVxceVEGlQ29PHh1MR/vqKW8vgdfHxULJsUyMz8aEYm1C5Lp6DW709RyIznTXjXqeU/OiuDL/Q109Zl5ZtMJ7r+yyOvv/noV91w2EZdLYuexZrYfbcZsdfCTyyey9WCjV7RkaV0PMWF67liTz29ecXdn3vqykvsun8ihsnYcTvfieLSykz/eNZPirHCax/AHmJIdQViwll8+v581M6LIWxKF6LDgVGgoq27mjlV59BmsaDUKDEYbRovNMy4XFqhlflEsgX5quvrNdPSZiA/ReYydfZQiD11dzNNvH/MUKQq56E4y0bg7W4F+ahxOFwq5yJ4Trew45r5um93Fsx+UjMrxvPFFJZMyI1D9OEJNxjGOfyvqhm/w/53+PzBMAI0rgP7PMWR18uDf9nopciob+vj9m0f46RWF/PrFA143YpHBuhE3WGfx9ldVPHXHDBraDPz8mmIa2gdQyGTEhOn59sgZrl6ShWqM8SO7w8UfNx7jNzdNpaXLyOGKDnx9FMzMi6Kj14RfSiiHy9t588tKJmWG8+Rt03nv2xoOl7dzxeJ0+Gb068uZEOIZm145dwJfH2jgcEUncpnI5IwgMCsI1TgoDtdzQY4fr21v9RBQZquD976tISbMl82769h1ooW71uYTF65nd0krMlFArZQxtzCGBZPi+P0bbkKlor6HuUWxtHcbmVUQzdyiWHdaavsgB0rb2H602XOjf6bdwLvfVDM5K5yV85LJTw7haGUHO461sGpeMs+9X8LPr5nEiequEcTYrPwoWruNXDpnAiH+GuIjfPnrphOjvg5atXtUXkDgr5uO88St0/npFYV8tOM0tc39BPqpWT57ApMywhF/RL56gb5qz78HjTa+PHDG8/+IIB8PSfjml5VMz42kprl/1DGl3kELWw82EhKgxeWS2LynjjvX5PP8x6cYGq5HlMPkwIaLMnh3a5UX+SOXCdy+Op8/bjzmiVAHOFbVyfTcSFLjArHZXYQFaHn322ovH5uyuh6iQ3XcuTafR186OOL68lNC6ek3c6q2Z8zXwWZ3EhqgQS4TGbLYuf/ZvTiGx9rkMpGrl2QwqyCaLXvdBGFYoJb81BCvlDtJchseN3UY3H44grvRePOluSjlIq9/Uc5tSxJJD1cgOKw45Fp2VAzy8qdl3L4mj9e2VJCbHMKtK3NRymUE+ql4+O/7vF6nA6VtrJqXzLzCGFRKGadO95ASE8DkzAgK0kJxOJzUtxnITQ7xatrKZSLXLM1Ep1bw9cEz3Hd5IduPNLH9aBMOp8TkrAgWTorl5c1loyYEtnUbmTMxmoWT47x8QM9CpXT7Y61ZkMqu4y3sLWnB6ZKYnBXO2gWpfL63jqoz/Xy+p56kGH9uXZlLVIiOvSdbWFgc5+VJ6nlPHC6MZjthQVp+d9sMBo02JKR/OoJptTvRaeTIZCIu1/gaOY7/bowTQD8AWK1OcIHDJVGcET7mrO+0nEhe+awMu8PFQ9dM4lhlB43tBiKCfbhwSjyigEdKGRWq58VPy7h1VS79Q1Z+9cJ+blyewy+uncRvXz3s5R9QkBpKalwgv3/ziKcgVatkxEcEs/dU65jn3dVv5ky7gUdfOkBafCA+agXvb6vxMPYpsf4UZ4TxztfV7CttZcm0RK5ZmsUbX1TQ3W9GkiAjIZCVc5PZdayZydmRLJoaz56SVl76pBSbw8XciTHMKYyhsd2Av07FhovScTolBEFAFNzdGYVcID0+kIa2QT7eWctDVxcTFaLzpKOdRVK0H346pafYszlcyL7jzbFqbjL9Bgub99R7PI1CAjSYrQ4v8ucsmjoM1DT2k5noNsu02p3YHS4vM0yz1UF92yBF6WHsOdEyoqORmRhEUrQfH22v5dHL01Afeg3r4VLOLk95E4pQpGxAF+bHR9uqWJQfgF7nJHZeGIPOWPosAp/urqOt221QmRLjj4tz+RySSyIxXMcf7pjBgNGG3eFCo5bTP2hGLpfxya5ajzRaLhNZPDWe65ZmsXFrFRa706voOh9Ol0Rb9xAJYbofQ1NzHOP4t6KubZAAverfbjoplwsMmX88N5r/iRBkIh9srR71hslkcVBS00X2hGBO1pw3YiUwauIjuNeQ5s4htBo5Ab4atuw7wwWT4/jtq4fo7DPzyc46/nzvHJTy0dVfTqeL5s4hVEo5A0NWwgLdXf49J1vZc8K9xmvVck439ZObHMT1C6O5ZV4Qgmjhd9fl8tQH1V7rlkYlZ/msJP6w8RiiAOnxgZ7o6NuXTcC/eS9DezfR43CTMZG+ITy89Fae/kpG9bDa4lhlBz+5opDNu+uQJHjug5P8ZP1EIoJ8mHNZAb4+SnoGLFQ29NLU6VbEymUiMkEg2F/NF/saiAjxwc9HNariBtxJQesWptI3aKW8oZe6lgHmTIwmMcqPZTOT+PO7x7lpeQ49gxaOV3WiVslYUByHr4+SIZONpo4hSmq6WT4ridhwXy9vQaVc5MqLMgj0VVPd2MfRqk4evnYyZ9oNVDX2MTkrgjvX5KOSiyhlgscL58cAu93J/OJYtuxrGPXv84pi2HXcPb7kdEkYTLZRR6jOYufxZh68qhhwEyFDZjs3X5qDTBRxuFyEBmqJCtGRGOnHc+97K5KnZEey63jLqHXInpJWFk9NoLy+l54BM1OyI8hPCeXlzWWeGre5c4ja5n4unBzHlwfOIIoCkzPDuWJROkq5iF2nojAtbEwD5ElZ4fj6KGnrMfHCx6Vef3M4XWzZ28Cvr0hnUboCySUhavS8tWv0urmzz4zLJaFSyrhxeQ6vbi7j4umJ/GZ9CuKuv2PbO0ygCCILM2aSe8GFWKzuSrCkpouSmi5Wzk2m8kzvqL8V731bQ1FGOKerOkmNC0QuF/hkVx3vbasmyE/NxdMTuObiTO5/bo/H7+eWlTnsOt7iIYW+OnCGydkR3H9lEX46FV29JjZurRo1QQ0gKlTHln31LJs5gaYOg5fFgUYl5441ebyztZra5gGm5kRwy6W5yOUiPmo5Xx84w8z8GOZMjEWllHGwrJ1XPivDbHWSnxLC9Nxols5IZPOeOk+NKRMFrrwog4Nl7ew72UrOhBAefdlN7t1zWcGotf9ZpMUH0t5jIiHs35fKOY5x/FAxTgD9ACAIAnK5wB9fP8yVizNGnSEPCdCQlxyCIMD7207z6xf2k5scwsS0UNITgiiv76GhdZD71k/kjS8q8FHLCfZ3z2e/v60Gh1Pi2fdLSI8P4BfXTsJkcdDSPURUsI66lgH+8PZRzw9sZLAPvj5KGtsN5CR9p0g9D/0GCyvnTOCP7xz3xKKehVYtJzspmNZuIyvnJTOnMIbmziH6DRZuWp5DU6cBh8NFbcsAf//gJDddmoPV5uSBZ/d4FbDvfFNNQ/sgly1MY19pGx9sP82KORM4Ut7BzuPNXsqURVPiWbcwlb9uOsFtq/JoaBvgYFk7oiAwNSeS0AANz7xX4nWetc39ZCQEes4/KkSH0WL3MrTOTwll/xhmkQB7T7YyvziWsuFUEkHwtnmUy0REQeD3bx7l4WsncaSig/2n2lDIRRYUx5KdFExjh4HcWDWq/S9hbfEehbOePowgkxEw9ypWhtUz+OHT9NksCAiEJeXjV7COzl4TJouDmqZ+HnnpILeuzKUoNQTXWQNGp4RCFGjvNXkihR+4sohffcd7yeF08enuOjYsTufaJZnI/skIwHcJtHGMYxxu1LcOEh6o/bcf1z0CNt7d/L+E3eGi4jtr4vmoaewnPtLXs7bmp4b+U6NwH42ChAg/7vvzLqJCdHT3mz2kzMS0MCrqe7h0bjIbvx6pfr3sgjS+PHCGGXmRNLQNEBumx+mS2HOilUBfNVcsSkehEFELTlJVnQy8+wucBvd6pguJ5Y9X3sKbB4aoONNPTnIwcyfG8Mmu0wT5qVkxZwLm4dGP6FAdGdpuDFve9Dq+Y7AL5+YnuHXpr7nzBTcBJIqCV+PAanNisTv58kADW/bV87vbZ9AzYOGFT87ddGcmBvHRjhompoVReaaPkpouLpmd5HUsURRQysVhg2jo6DGRlxpCTWM/K+Yms+1wE+V1PcwqiGZWQTR1rQME+alZf0EaZfU99A1aeP/bGm5ZmUtIgNtX6JXPylg9P5W9J1s853zXugK27K33pJGdxRWL0rlkVhIKUUApEzzR5z82+GoUXLskk5fOM/UGd8MwNEDrZeYsisL3fn5lMhGNSu5plFWd6eP3Z44iCm6S4NGbpnLn2vzhbQXO//mamBbKPz46NeZzbz/aRJ/B6hkzTIry4771E/ntq4c8TbhvDzdx26pcijPDCQnQUtnQw5Z99cwtjKFnwIwoCiRF+VHb4t189VHLWTw1ga4+M5/uHqluyU8O5KYZeqyf/BZXn7tGFPzDuGrW9ThsQRyuGqksqjzTx9KZCew+3krfkJXsSDmOz3+Prfe8GlNyYS3bQZhCiz33Eq/9k2P8eX9bzZivx8maLnYeb+GNLyr55XWTsdncibI9AxZ8tSoOlbfz+C3T+epAAz0DFhwOl5ciyOF0/y7sOdHKrStz2XG0iQsmxY36e6ZSyshICOTxVw/T0DrIugvSuOyCNJo6DPhqlahVcl77vNzzWTle1Ul2UjAKuegmYqL86B4wE+qv5i/vnvQErgAe9fxvbprK1OwIWnuMOJ0SmYlBvPllBV19Zh64qphT5zVmN31TzfWXZPHIiwdGqNbnFcbgq1XQYrSNj4CNYxyME0A/CAiiQL/BSmO7gWffL+GO1XkcHiYJwD0etGhKPL98YT9LZybxk8snYrY6kMtETp3u5q2v9nHn2nyOVp6mtK6HJTMS8dEoWDo9CZvdSel58tbwIB86+8ycqOpgen40T715BLP13GqrUcm5a10BFfW9vPRpKQ9mQkfvAAEAAElEQVReXUywv3pE90WjklOQFoZeq+CqizLYuLXKM7cfHqTl3ssm8saWchZPT+TRlw96SawD9CruXJvP85vL6Og1sXp+Ct39ZvaebBu1e3mgtJ25hbGcaR3g2iWZKBQycpJDmJYXSXuPiU3fVDNotPHF/gbuu9wdE/rbVw+RGhvAyjnJ+GjkvPLZSM8FgC176/nVDVN44eNSyup6EERGeAKJ/yTp1OWSEId5Eq1aDtK5hKyIIB9uXZJIoI+dmy6M5ct9DeQkB3H76jzK63swmu0MDFmpbRlgbpIc887R43oFmxlr9X4Gdr193qMSltpjyAe6uPXiG3li07nZ55c3l5GTNBPFefyNeXgUQJLcMuXeQcuoZnkAn+2p5/FbpiEgjdlRUcpFwgK14+qfcYzjO3A4XZzpMLg9sv7NUIx7AP2fQyYK+OtVY6ZuBvi6Uzkjg31YOiORwvQw7E4X/noV/QbriO19fZT461W89nk5TpfEhZPjPDdtCrnIJbOSeP7jUxRlhHPX2ny+2NdAW4+R6FAda+ancrC8nZKaLobMNtbMT2VgyMqu48346ZTcuTafv31QgtFs5/eXxdL74ZOc38KwdzXS886vuOaq39FvDqa+08JLn5ZSmB7GynkpvLe1mrBhonP55FDsh14c9ZoluwVlZxkTov053dzP5OwIjlV5hxO4XBKBvipuXJ7Dlwca2Hqw0fO3NfNTOFTWzs7jrVw8PZHZBVH461VEDpsKhwdpWTUvBb1Wiclix0+noqapD4vd4akT1i5MJT0hkM5eEw/9bS8mq4O4cD2zCmIYHLLx0qdl+OtVXH1xJvtPtWK2Oqlp6idnQjCCAPdfWcSz75UQG6anoXVwBPkD8MYXFRSmh6KVyZB+xP54oiQxNSucgtRQjlV30W+wkBIbQFuPkb9sOudXo5SLaNUKLpgc5/EN+i4WFseilgvcvSaPA2XtfL63AZPVzsS0UOZMjOHZ90uYmBrKwsnxzMyLYuuhc++7KAi4vqfIcEkSoniu0KltGeBweTuTMsPZN1xDuyQJH42CyoY+/v7hSW5Zmcu2I01MyY7EZnfx+pYKblyezenmfnYdb8Fqc1KQFsrsgmg6eo30DVrp/M53WS4TuX5uOJYPfw7Oc2ocR38Hjs1PcM3KRzlR24evj5Llk8NJitBgtjoxiVrsdhfHq7swWx34uAbp7h29wWgr/YaQosXf8y6N8XoIbtXgk68f5sGriymv6yU3ORib3UlCpB8vfHwSrUbJguLY7yWTdh1vITHan4a2QTYsTue9b2s8yqqp2eGsWZBGR6+RW1fmotMq8NepePBve1k6I4HIYC0qhcIzkqlRybl3/URe3nzO4xLcaWIPXV08agKZ2ergo521TM+LZNM31dy3vhCn08naBanuxvVbR7llZS4xYXqaOgw0dw6x81gTT9w2g3e/qaKm0W1UfvH0BLInBPP8hye57pLsH4UR+zjG8a/GOAH0A4AkusepwD0v/chLB5iYHsaqecmAe9a5uXOIngELMlHg+Y9OeaU2aVRyokN0XLcsi79sOsE/PjpFUUYYGxZn0NxhQKdR4KNRsGZ+CmGBWvoMVooyIyip6eJnVxRRVt9De4+J1LgAspOCeO79Eqoa+wH4x4enuGN1PjuPN7PzWAsul4uCtDAunp7APz48SUevicdumkJClC82mwsEd/fzeHUncZF+vPdt9Yj5+j6DlefeL2HNArdaJz0+EIvNwcnTo6cPAFQ29LB0ZhKvbymn4ryZ4PgIX+5dP5Gn33Kb/O050UpxZgTfHm6kqrGPz/bWc8ulOTSNEgsPMHtiDF19JtYtTEWtkqGQifioFV7bnDzdzZIZiSOK1bMozgznRE0XogDXLcvis+FZ8OVTI7k4DWz7nsHWeYZInT/x+UtQRUbyyFsnmJoTSU5yMG9+UUHfoJXFiYGMlaOgy55Fz9cvj/o3R3cTsT5WNCq5Z3E2Wx0YTHYCfdzXIpeLHC9v85A1If6aMWWy4P4culwSGrnAnWvy+Pnf9424qbxtVS6q4Q7nOMYxjnNo6TLicEr/JwogmSiMGfk9jn8PZAKsnJM8ZjTysplJ+GoVXDorCZVcxOFwYbU5uHZpJn/aeNzLIFcUBa5ZkonF6uB0cz+iKJCWEEht6wA+GgX3byhEoRDRaZW8v62GkAAN8wpjuDYti5KaLnoNFo4OqyNqmweoaepnflEMpXU9XDJrAm9sqaC9x8SqGTFw/CNGiymXbBaMp7bjaqkmxunkgYsup6JfRd+gldMtA+SlhhLoqybcX4W9Z+yxcVlvA8H+U+gdtLCgOI7fvnLu9VHIxeH1vBCdRk5ytD9WmxOdRkFBWijHqro8PjQqpZzIEB1qpZzOPjOzJ0YzOz+aZz8o8VJPT82OIDU2AIvN6Q5zGE7xPH9cqaHNQMPn5SyelsDcwhi2HWlCpZBR2zyAWiX3jN6EBGj47c3TePK26TidLn75wuh+TQDbjjSxanYStjFMcX8sECR3DTA7N4J+s52HntvL4HeaRreuykUhQEyIjqKMMA6Xe6ezxYXrmZ4bidPhQgRmZEcwKSMcSXJ7tnxztJna5gFqmwf4bE89T981kxPVXZ6auOR0N5Mywz0jZ99Ffmooz39HIbTjWDO3rcrzEECTMyPY+FUVnX0mbluVx6nabm5akQtIfLq7lclZ4Tz+2mGyEoNYMiMRhUykvKGXx187zBO3TuNgaTsJkb5eY1BTM0MQKr/xIn88cDkQyr7ihsXzyQmx4Ty4EfvhGnQaHfrCizBbpxCgV+Lro8TUOfb3RXLYkOwWCtNDOVLhrj8b2w2kxAZ4qdTPx4Rof94dHsfsM1hBgskZoRyt7uZoZQer5iUzsyCaoxWd1Db3exmufxcWm9s39MPtp5mYFsqda/IRBAj219Ddb+aB80bJ5DKBtQtTeeDKIh54bi8yUSA3OYSbVuQgCngI7PPJH3CniT3+2mE2LE73MsI+i8Pl7czMi+LmFTlYbA4qGgY4XtXFxdMT6DVY+ePGY1x/STZWm5PS2m40SgUyUWDZjESUCjkul8T+U63ER/hyy8o8Tp7uojAlZDwpcxz/9RgngH4AEEURPx+V5/8uCQ6Xd3gWUrlMYEFxHH46JTFh+hHkz8PXTqK6sY/wIC2P3zINg9FGZ58ZjVIEEdYsSCVAr+LFT0s9xZGPWs66hWkcLGunvm3AXbwFaaltHvCQP+AmpnYdb2FCtD8FqaGIokB5fS+/f+OIZwZ594lWqhv7OVXrlrNfvyyLQ2UdrF2YwqYxHPk7+8wE6FUkx/gjCu458u/rXKfHB7Lp22ov8gegoW2Q1z8vZ+XcZF7eXMaQyUaw/znzwhVzJmCxOfjpFYU89eZRbA4Xeq2CObmhpEbrSUuO4Pand6FUyrnl0lzaeobISAxCFM6FW7V2G/FRKzydy/MREqBhUlY4RoudX14/BYVcYN2CVCw2B6lSLb0f/9GzrXOoH/PuNxD6Gnl4/VqUOBga7OKKGaH0OVSo9cMHFES0EwpQhsbhspowVu5HkCtxWcYmbKS+FgJ91V6kjkx2rismCAL9Q+dSMLr6zUzNGVudEKBXIRPdHdkQXxV/vmc23x5upPJMH5EhPiyakoCfVj5O/oxjHKOgqXMIAQj11/zbj+0eoRgngP4v4XJJJEToWTYzkU/OM0YVBbhmSSYBPkqEYTb+7DiCXCZjx9FmHr52EvtPtdHSOURkiA9TsyPZsr+BdQtSEASBrKQgdp9oYX5RLNNzo/hkVy39BhsXTYunrK6Hrj4z72ytpqqxj9gwX7r6TNy2KpcjFZ0cKmvn64NnmJ4bwYzcSPz1al4bXtPiQ1U4DjWMeU22jnoUgeEYTnxL11u/IH3dr7DpdDx5/UT6Bo387dYcnC7oD4zA3jP6zbosKou1uTGo5LFs3NHgFXqxdkEqW/bVU5wRjkIm8MH20yRF+dHWY+TJ1494SM3MxED6Bi04nS6qGvt45+sq/nTPLB54di/9Q97qqX2n2vDXq0iM9EOjkpMQ6curn3mPNJ3F1wcauP/KIrYdaUImE4gJ11OYHkZ3v5mTp7vp6jPz7jfVhPhpmDUx2mNgPBp6B0f3zfuxwm53olPKePK2GWw72kRFfS8RwT4snnquDpABNyzL4sLJcWzZ14Dd6WJeYQzpcYHIkTy0otPpQgYguFNKZ+ZGopSLbPq2hkGjjVOnu/nl9ZM5XtXJobIOLFY7axakcqK6a0TKXX5KCAMG64jHLTanp/4J9ldzweQ4mjoNOJ0Se0tayJ4QwsnTXfj6KOkbNDNnYjSNHe7I97OqLpVCxu2r8zCY7Ow71cavr5/C7hMtHl+vhFAVtHrHkJ8PV2cdM4qUdLz6MCChjs1AHZ2KZDOhKPmIOy68lKbuAOTysT8rglxJa7+D9RemM78olq2HGjnTMcg1SzL4xT/2j6iXFxTHcqq224tA7uo34afzJzpUR7/Bwh/ePoZz2G+0MD0Mu8M1pr9PQWqop64/WtnJ0cpOZKLA7++YwZNvHPFS0jicEm9+UclDVxezdkEqpbXdhARoCPHXUNPcj8Mpcaxq9CZv76AFlUI2akiN3kdBVKASh9VCefMQEUG+vFRVhkwU+Mn6ibyztYo/vH2MsEAN84pimZUf7Zk6CNCrEASB3kELRRnhmK1DpMYFjMfAj2McjBNAPwhIkoTF5iA2TO9lMngWM/KiaWgb4J7LJtJvsPDAlUU0dRjw16sI9tPgo5YTF+HLvX/eRaCvigeuLOL5j0+hUsh49KapRAVL3PfnXV6LhdHi4MVPS/nJ5RM5WNZOZUMf/joVCyfFeRkYA0SH6fh4Z+2YcvaqM33ER/pyqrZ7OAEhlIhgH1TK7/942R0u7liTR2efmcNl7UzPi2LbkdGNBKPD9IT7KSnOcHcCzzfXrG0ZYP2FaQBkJAZROrxgrVuYwpm2QR7dUkF2UjA/uaIQf6WTMLEfy7HPcJZ24exO4YXbLuTbSjMnqjvJSAhCEODWVXk8+94JDwn0tw9Pct/6Ajr6zGw9eAaHU6IoI4zijDBUChkms51HXzqIw+niF9dMwkcaYmDbK6Nei6l0JxETL6D97UfQZc8iJrmQCNsZBFc8uoIL8M2fj63jDKaqA0gOG4FzrkDuH4ogUyA5Ry86BV0QBtM5ciwkQDOsZJKQy0VcEszIjWTz7jqsdicdvSaC/TXoNIpRC9k1C1JQD3emJZeESoQl0+JZPCUemQhOh2s8/n0c4xgDTZ1D+OtVKBXfn0ryr4BMFH9UhrP/qRAliaXTElhQHEfVmV7kMpHk2ABUMsFD/pwPjdLtofLoSwcpTA8jPtKX7n4Lj71ykLT4QDp7zRRnhCGXiUiAwWTjidcO45LcDZ1AXzWP3TQVo9lObfMAx6s7mF8Uw+4Trbz6eTlqpZxL504gPlyPKBMRELCcR8D0GOwk+QXjNPaPej1y3/P+JrkY+PYVgi+6GUtdOfLyvfQh4ZMxg9Bld9G+6beoIpORafTYupuxttUSfOH1oFTj2P0cLruZK5ImsWZKIe8f7KUoM5zKhl6cTgk/nZKKhl7Cg7QeBYfnHGQCaxek8vu3jtJvsLJ4WgKLpsRR1zwwgvw5i28PN5FzWQgHytpJjQsYc9lyOCXsDhdx4Xo6ek2kxwXywLN7+NmGIlq7h+jut7DnRAu3rMxl/6lWshKDOFo5uip4SlbEf9x3UHJJ+ChF1l+QRv+gGYGRdYBMkkgK13P7pTlIkoQouM2vv29MXJQkZmRHUDRMRmjUckrreqhvHWT57CR8NApe+7yMe9e701VLarpQK+UsnhqPIAg8+37JiOecEO3PwJCVdQtSyU0J4ZGXDtDZZ8ZHo+CSmUnEhus5WNbOqdPd/HRDIX/aeIylMxK5/MJ0Smu78depSIkLANyejo/cMIX2HiP3byjihU9K6eg10W1wIvqGQnv9qNcl9wvFWnsEmT6A4ItvxWUewtbdjL2vE01sOiJOFN8+hWbRTZgCInD0jRwD0+TM45MTvcyb5E9cuC8h/houmBLPV/sb+Pk1k9h+tJmqM73461XMK4plyGTjlc/KPfsLAmhVCkwWB//46JRXg/CL/Q0cKmvn1zdOYfvR5hGkZYi/htS4gBGx6pfMTmT7keYxx6je+7aGu9bmkZEQSEVDDwNGKwdL21g0NWGMT4AbgyYbGpUcu+McmTctM5gb5oVjP7oRobOeiQERqGOXcFFxBJ8faqOp08DiqQmEBWoRBIHy+h7OdAwSG67nmiWZdPWbcbokIoJ8CPbXcN9fdvHkbdPHR8DGMQ7GCaAfBFwuaO82cu/lE3lm0wmPYZogwPTcKNYsSGHfyRY276qlMCMchUKGRiXn83311LcM8vSdM9h+9Ow8fwFDZgcWmwOz1cHGryqJC9ePqaz5fK/bCO+sdLx7wMx1y7J4/uNTnkXbZHbgrxvbz8BPp8LpdHHJrCSm5kTyy+f309Vv5pfXTRozlcS9n5J3v6kmIz6IxnYDV16cQUV9L2095xROE6J9eWhVElR9zXKpAld4GFdNn8l7h3rZfuJc8WW02IkO1TEpM5ymDgMr5kxgYloY9/1lN4CbnPIVWRXbQd/uN86dREcD5tJtTF/xc762KQkL1GK1O9Cq5fzx7tmcqO6kf8hGzoRgtGo5vj5KJCkWk8XBqdpuPtx+mvUXpNHVb/Z03Z/9oIQ/X5NMz1D/mO+5o6+dwHkbsHc10v7ub0EQCFp4Lbq0yQzs/RDJaUeTkItMo6f7qxcJnH8VmqxZmEpGZvKKWl8cujAigmy4XC5WzkshNzmE7gEzOq0SQ7+Fz/fWo/dRcP+VRRwsbePLA2d484sK7l0/kX98dJL2Hvd7K5cJLJuZRGFq6AijPOfw///D6tpxjOP/dzR1Ggj5P1D/gPs7bP8Rms7+J0KQJLRygcKUYKSz3nBj3A0LLomblmfz949OeXmpZCcFs3x2En/ddJz7ryxm49eVXDQtgT+9cxyX5DZevv6SbD7dVcuxqk4kCbISg7j50lxe21LuGR1ZPnsCeq2SLfvPMDBkJSspmOKMME/D5/MjXRQtWgqtfxjt7PBJLab9/d95HrF11OM09tP7zauex6ytp/Gbcglhq+7HcOxrHEN9aBKyCbrgOgZLvmXo6Jfn9m+vR6b/mg0rHuael05htjj43e0zeOK1w3T1m/n1DVPISgrm64NnGDLZyU5yj+fIRYHMhCD2nmzli331PHHrdGqaRh+HAXf0M5I7dWztgpTvfb+UChlXXZyJAGz61p3itumbai6YHM9bX1bicLr9Zt7fdppHbphCSU3XiKS38CAtE6L9f5TGz/8TyGQiIoxppOu+uXZfu3OUccLR4HS63ElpLoEv958hPSGQngEzj7x0kF9cO4nalkF+/cJ+JqaHMWdiDFa7E39fFW9+UTFC7SgIcPmFafj7qth5rJkHntvj+coZzXbe+qoSrUaOze6kf8jKn985znVLs1Cr5Og1CtISAgj20/LO11XsKWnF4XSTgjdfmkPvgIVL504gLtwXAB+WYKk++N3LAcCv+CI6P/kzEWsfwtbTiqnygLuuS8xDVPvQt/MdIlc/QPu7vyV0+d30fPUSto5hMkkQ8cmcSWvkLA7tP83EzGhUSjnlDb2cqu3hxuXZ7DrejEwmcPmFaahVcv724ckR4TFzC2OoaxlAp1WMOvLfM2hh/6k2fnpFIdsON7K/tA1BEJiSHcHsgmhcLomi9DBK63rQaRXMK4zhgslxI8JUzkdnr4mqM328s7WaB68qYtBow9dHiSCAWinDMsbIWVy4nqRoPyTJ3VSODNFydbGS/rfuB8n9Hts6GjBV7mfp/JvpGAjiSFUPL59nUi6KApMyw5kQ7c9vXjlnAi4KsHp+CktnJlFW18PMnIhxI+hx/NdjnAD6AUBEIj0xiL99UMI9lxXQO2hh0GhDpZBx8nQ3fQMW/HRq0uID+WB7Db0DFibE+LN6ntsUsbvfQnZiEFOy3KaKTpfExLQwjlR0oFErvJz1v4vmziFmF0QjigLxEX488tIBZuVH8/A17rSq3kErgX5qls5M5Pdvjh61umRGAjqNku1Hm7j/2T0edn3bkWYunBI/anpCUXoYkgRHKzopq+3hrnUFvP1lJVcsTqffYOVUbTcRQT6sKlDR9fYDSLbzuhMlX7N24W0YTIEcqe5FJgrEh/tyy8pcdhxrIiJIy8S0UDp6TO5EruHFf0lRCJYPRilunQ4s214gIvMGfvbMbn62oQiNSo7F5iDAV01Lt5E/v3Oc/iEreq2Ce9dP5I8bjzEwPFL11cEGrl2axZOvHwHcaQt9Q98/XyzI5CgCI+j58nkAAmevx9JSRc9XL3i2MdUcQRESQ8iS2+j44GnCrn0ax0AXtoZzi69M50/IqgdpNcpYMTue2IgA/vLucV49rwuUmRjEyrnJ/O6NI3x1oJFrlmR6vA6+2F/PQ1dPwuFwYnO48NMqUckFBEAYVxKMYxz/a0iSRFPnEPnJIf8nx5eJIi6XNN7l/AHhf0oGyCSJW1ZkY7Y5MZodaDVyFDIRg9HGYzdNQ6uUcfOKXEwWh6chc93SLI8H3lmU1vXwwLN7eejqYk5Ud7Nwchwg8fhrhz3bHK3sZGDIyoVT4vh8bwMdvSZO9IaRV7Qc25FPPDddglxJ4PwrMZza6e13IpMj2bxVN9qUYmQ+/rS+8jPPY+baYwwe+YLQZXdhrjzgpTByGnqxHtvC0mkzSUsI5ZlNxz0j7m9+UcHNK3IoTA/DYLRxqLydJ147jMnq4P4NRVSe6aVnwEL/kIWwQJ8xX1MfjQK7050I1tZtJCLYh7bzxujPIj7Cl8hgH1o6Dbz55bnY65qmfi6d4/ZjLMoIo/R0N0azHaPFzsPXTObdrVWUN7gVXrMnRrNqbvKweva/x2NElIlYHS6MFjtyuQytUoZc4H/8GySTCTT3mPnlCwdwOF0smhLHuoVpzC00cqyqkweuLGLz7jr2nWrjSEUHuckhTM0O57pl2ew42sTOYePmpGg/Vs5NZuuhRobMdmLD9KPyre9urebRG6dgczhpajfgo1UgCgK7TrQwNTuSx74TXHKm3cADz+3lr/fN4ed/30e/wcqEaH+uuTCByAXXMfDtq+Aa/m6IcgKmr0SQKwlacDX9+z/BWL7H81ymmiMoQ+MImLUWx0AXgfM2YOtoIHTFfZhNJlw2C6JGz1cnetn4VgU3rcjh64MNrJidzIbF6Tz28iEeffkg03IiyZ4QhNHiQBDc1gPvbK2is8+Mv07FhVPjCfZTY3e4xvRPAth5rJmi9DBm5EeTlxpKVIiOd7+p4ud/34dKKWNuYQxTcyIx2xy4XC6qG/uYEO0/pvotLkJPU+cQhWmhnG4a4K/vnQDAYLJz0bQEPth+esQ+E9NC8dG4LS5cLollM5NIDpLo3/hzz+/Q+bDufJk1i3/Nke+krE3NjsBHo+D1LRVej7skeGdrNXetzae+dRBBGE+vHcc4xgmgHwBcEmhVMm5flUefwcovn9/v1VVaUBzL5r117Dt5TiJadaaPp948yu/vmEFD2yCbd9cxZLaTlRjM3MJopmSFY7LY6TdYPCkZoyE8yIe+4bGywxUdSJLbQK/fYOWWlTl8vqeerQfPMLcwhmuXZtI7aGVgyMr+U22eNK++QSvl9b3EhOm597ICXt9SQUevid0nWnj0xilo1XI2767DaHGglLuLpPyUUFq6hlDIRfoM7i7MuoWpyEQBvY+SlXOTCVbb6fv4cW/yB9wRmd/+nbVLHuFIdS/3byjizS8rvbqmH+6oZcGkWDYszuC1z8vx16tQDLZiH2UxAbD3tBAXKMMlwZ/eOc6Tt03nrj/uHFHAmCwOOrsHefLaHOraTWzc0URTh4Ha5n4euLKIl4eTzVoMkBCTgaWpfMSxBIXaPc5lc3drRI0OuV8IvdvfHLGtvasJS1MFmrh0+iqPUJu4msTC1YhDXQQEByGJMvp3vYOyu5mkCUVIfnMxmLzn4cvqepDLRJbOSOTdb6p59bMynvnJXFbPTUYuE9yFmtw9FC0IAlanRE1TP/1DVtJiAwjQqxCHqyhBEJDGY7/GMY4x0T9kw2hx/J8pgGTDiTj2cfL2RwnBJaGVi2j1Ss9jQTr3vyWnC6PZ4RnbzUoMoqy+Z4QHCriVLzuONTMjN5LCtFAeeWmkUuGzPXX8/tapTE315+jpPl7f1kR3UQYrrp2H3D6EgITLOMDgsS8x153w2tcnbSqm095NId/8+bS/9+SI47gsRvr2vI++YAH9u9/z+pu9Zh9FlyzigVcPeaVSRofqeGdrNXtPjjTJ/XD7aS6YHMfbX1WBJGC2OcYkdlbMnkDdcBPsjS8quGNNPk8Nj5CdRZCfmhsuyeahv+0bMQpzfsLnhVPieXzY2NtqdaLTKli3MJUgfw39Biv7y9r4/ZtHuXhaPFmJQZ518z8ZkiCw51Qb3x5pYl5hLCEBGtRKGWGBWjTy/1kTyeqEp946isPpwkejIC8llPuf3UOAXkVmUhBf7m8g2F/DTy8vJCLYhz0lLRyu6ORgWTvhgVruWJ2HTBRp6Rrilc1ldPaZSYj0RaMOGPV4g0Ybbd1GrliUzqDRxttfVdHZayI2XE9BWigJkX4jwkskyU1K/uamqfzjo1OcPN3Ngy8eZ+mUaFZf9TT23lbUCgFBEBg6tROn2YBPxgzk+gD0BRdgqj6Ic1gVbus8g6W5CkGuQnLYGCrbjaWlGv8py9lxRsnXR+qJCdXx4FXF7DrezAWT4nnrq0quWZLJrStz2fRNNTuONbPzeDMFqaEsnZnE1kON3H9lMZ19JkwWO9uONFFa28N96wtQyMcmPBRykYEhq8fUvCg9jDmFMRwqa8dkcfDZHrcqKSspiJuW5zBgtDKrIJqPd9Z6eXidxap5KTidLnRaJT97Zrfn8f2n2rhuWRZr5qfw2d56jGY7CrnIvKIYZuZHc8+fdnr8fz7bU8+LN6fhHBpd2SfZrYSqLSjlAjaH+zsWH+HLijkT+Hin25cpMtiHielhiAKU1HTT0DbIN4caWTU/Bbt9FOPucYzjvwzjBNAPAHaHC4dL4oHn9nLnmnyvv8lEAbPV4UX+nMXli9J5+6sqjlScS104VtVBenwAcRG+LJqSQLC/Gh+1gi176718fc5i9bxkwgK1NHcOUZwRxsLiWMxWO/56Nd39Zj7ZXUdmYhDRYXoOlbVzuqmfkEAND18zCX+9iof+ttedNDCMID81D11dzDObSugzmPH1UZKbEkJRRjjgFgZ/c/AMT711lIK0UGbkRfH53np6By08+34JCrk7hWvIbOP1u3KxdzWOOGdwpyP42HpZPisRk9Uxavzo1oONPHhVEf461SjPMBJnfeHMVgc9A2YUctErIWFaVhh3XBSNtfYIpu2HmKBQ8cSShXSKCTQPyfnmcCPXLc0iKkSLv48cefh6Oj98ymsRU4QmELL4BlwWIzKtr1sOrNJirD7MWBgq24P/lEtwOR3kJgbQawa9bwD92/6B5Tw1kOPo54jlO3ng0l9w1wvlXmZ6JTVdLJuZCLgJx8qGXiYmB+F0SudG+EWB+vYhfvvaYS9ZdWZiEHetyad7wMzgkJXwYB98VPL/iuJ2HOP43+KsgiHYT/1PtvzX4Kz56XgS2I8TMpmI1enC6QKZiMeLDUChkLFr/xn0WiVpcQGsWZDCxq+rxnyu8voe1i1Mo7y+d8TfcpMCuGNxNFR+gqa1hkUBEay9azk4bAzu34Sjrw1leCL63DnuOfXzoAiMxDd/Ae3vPHruvPWB2Ps7weVEpg/EN28+ipBYcDkxnT6GsWIf/lOWjTxJSaKjz+RF/ogCzJkYwy+e3z/qdVU19nHJ7CSUcpGYUB1/2HiM21fl8eaXFZ5rVcpFLpwSj6+PEovNwYNXFRMaqMFkcXDbylwGjDY6ek1EBPkQEaTldPPAqObNBWlhWGxu1dHLm8uw2JxEh+roNVg4Xt3Jgklx3PvnXZ4EToA/vXuCyZnhXLc08z96nZTLRUrqejlW1cXq+Sm8/VWVJ3E1LT6Am1fk4qeW/VMl0JDZ5qkjZ+RF8c1hd93XZ7Cy58T5BGAts/KjEAQBo9lOWlwAn+2pZ0/JSJIwNzmE+tbR1e9ymUhksI4jlR1eapGufjPHqjq5bVUe7T1Gjx3DWRwobefyC9O5cXk2Q2Y7kiShVSs42TGEKESRE+ik8+W7kfuHEbL0dsx1x7A0VyGqfQicczlO4yC9295AkCuQXE50KUU4LUMIoojhxLe0Vh5gyrpHcAkxpMYFUnmml2m5UXywvYaqM300ths4XNHBmgUp+GgUyESR0tpunnz9sDvoY9DM0YoOClJDuWhaAunxgbR1DzF7YjTHq0c3YJ5dEENT5znv0ZKaLpbNSuTBq4pp6RpiyGQnMcqPzj4T9/xpJxq1nCdvm84jN0zhT+8e95CufjolN1ySTWP7INuPNLN0ZuKI8cgXPymlIDWUm1ZkExHkg0ohY8hs5+F/7BuxrcX2/SSN0ynxxG0zOHW6m8gQHf0GK81dQ/QMmLlrbT4mq4P9J9twulzMnhhNWICW97fVEBqgGR//Gsc4GCeAfhCQy0Xe/6aaQaONQaOVyVkRngUtJEBD2XnFW25yCBdOiUM+HFf+2ufnFCa+PkruuWwiL31a6hW1uHByLA9fO4mn3zrqKbIUcpHLL0xjwGjlsfOiWH19lNy+Oo9XNh/lzrUFpMYGsHRGIo+9fNBzQ1HV2MeeE61csyST1LgADpSeI196Biz8+Z3j3Lt+IkMmO0+/fYzGdgMT00I9BtNzCmPISgrmox2nWTQlnpKaLk+3xe5w0T9k5YLJcYh8/4+0j9IdAfr6lsoxt9l6qJHpuZF8trcebUQGA4I4qqRUERTF6b5zj9sdLk8nHSAqRMedF0XRtekxHAPnFlJz/Ul8kovIn301BTFxyIxdyEU/sAhIokj4mgdxOexYmyqRB0aA00HXp3/B3tuGqNahz5uHJjGPwWNfj3kNktOOIJOhCgij/eU7UcXnopu1hu6hkUW9yzyEouxL5uQW8fVRb9Lw/G6Nze7ETXmdW3StDonfvnZoxEJcVtfDRztP02dwK7/ALdm9eUUOomt8IR3HOM5Ha7cRuUzAz0f5zzf+F0Amuru99v+iEZT/FLgEgWNVXWzcWkXPgIVAXzWr5ydTmBqKKEkIAlhtTnYdr+eRG6ZwtLIDv+9pcPj6qLDbnSM+C9GhOu6aH8DgOw94xro0Pv7YGsu9xpCtrTUYTnxLxLqH8Z+5GkGmQFAoQZJwmY0gnlMWCKIcyeH2OPGdeAH9+z7CunsTgkyBT/pUwlb9FGmU9UKTMYMDNefUFj5qOddfkk1Hr3FMEtNHo8Bqc3LTpTl09pu56uJMvtxfz+p5KYiigEwmolXJaWgb4OXNZRhMdsICtdy4PNujhPLXqwjQq+gdtDAwZOPnVxfjr1N5mUn761VcfmEan+6uY+exZpwuifgIX65ZkskfNx5DrZKTGhfgRf6cxYGydlbMmUCIXvm9Jsg/ZlgcLt7bVsM1F2fy6MsHvZqMlQ19PPjcHp6+cybKf5K6dL5IKMhPTVldz5jbtnYbuXF5Nt8camTORPco+9ko8rPQqOTMLYzhob/tHfU5ZuZFIQFvfzWydjyr9LnyoowRseRatRyZTOD1z8vISwklwFfNYy8f8ijy7rokidTwRALnrKfzg6e8xh3NtcfRZc8i6MLrUfiHYTi5jZZX7geXA3VMBsEX3czA4c+xNxxnSso0ZHIrp0WJx1895GnSfbKrlisWpfP0W0e9vDXnF4Rz1dwo5PZB4gu1nO4Z5JVvWwjyU3P1xZn4aOQUpIZyrMp7bCslNoDc5GAvdaBOq6SxfYjnPz5FeJAWtVLOJ7tqsdicaFRy7l5bwO/fPIrZ4mDZzCQCfdWIAkSE6Khr6efDHae597KJ1I1Bvh2r6uRYVSdP3zkDk9Xu8dY6HzJRQFLpkOn8Paqp8yEoVPQ4NLR2DDEh2h+L3YnD6SI9KpDAeSm8/VWlF+ldXt9LbLiem1fkoFLIYHxtHMc4xgmgHwKcTon9wwqfyjP9LJmRyMnT3QwabdjsLtRKd5LMwkmxxIX78pd3T5AU7UdChJ/X8yyfPYE3v6jwIn8Avj7QiNMh8cvrJtMzYMHpkvDXqWjpGuKvm7zN3AaNNv7w9jHuXldAaW03N12aw1NvHh21EHt9SwUPXFnkRQCBe17aYnPwymdlNLYbWDI9kUA/NX/ceMxjAOevU3Hdsiy+OdTI7avzaOs2su9kK2FBWvJT3CliJocBmT4Qp2Ek0YEgMiALwuGUMFrGjmM1mu0UTg2lo9dETZeL6KmXYdv7Jogy9Nmz0SZPRHK5kAVEsOfYIHKZgCRBTJie5bMmkBKpQbJbiQzywXjscy/y5yzMNYfxK1qMy2qif//H2LqbUPiH4TvxApwmA9a2Wvynr8Te2UjXZ8949nNZhhg48An23jb8ii/CVDl6t1ObVICEiLn+FDjtWGuP0NFSQegl99D+zmPwHaNFe80BimfN5eujbcRH+HLx9AT0WiVBfhpuXJ7N5t11ZCQEekmzZTKR0tOdIxbis9h2pInbVuV5CKCjlZ18uOM0q+ck4foPNbscxzj+36C1x+guisV/ctfzL4L8PAWQ4v/kDMbx/waCKPDN4Sbe2Xoudad30MLfPzzFitkTWDo9AatTYkp2BPtPtdHWY2T70SbuXJPPnIkxuFzuNNEt+xqobnSrTucXxfDZ3nrWLkjlk111KOUiC4uiWTM1CIWhHc2K+9wKBaUabXIhra8+MPLEXA66PnuWsEvvw1h5AMOpnbhsZjTxOYSveoDenW9jba7CMdiNMjQORVAkHe//DlzutV5y2hkq3Ym1tZqQpXd6PbVMF4CUeQHFBiUFGZEo5TJ0WgVvbKng0rnJXh5+5+PCyXFEhfggl4mcqu3hk121rJ6XPDwe1MrWQ2cYGLKRGhfA3esK+GJfAzPyorz8CPsNVq8xsC/2N/CbW6bx8Y7T9A5aSI8PJCc5hNZuI9NzIylIC0WnVtA/ZOUfH52iz2AlyVc96tjZWRwobWf5jATso4zK/CfA6YL0+EC+PHBmVIW50eJg36k25hdEfa/qwlerQKOSY7Y66Ow1EROq8yiJziIjIZALp8Tjr1Nhs7vISAxi57Emfnp5IR/trKWkxl2b5SYHs3JuMu9sreKutQX8+d3jnhHJQF81OROCWTEnifrWwVHrndAADfJhAhEgKdqPi6clolHJ0fsoMJrtXL44A5cL7vvzLq/G2ju72/jDNXdgOPA+TtMguqxZ+KQWI0kuBJkcc/1JVGEJdH32DPaec748lqZynFYjoUvvpH//hxjeegBBpiA/Zy4v3DmTQaMVmcOCQ1RS1THAH+6exbeHG2lsN7ByWgThnQfpee0PHjI3yi+EX624gyc/6+CBZ/fw5O0zWDU/mZn5URwsa8c5bO4cHepWQZ2vfDOYbAQNq1fPhoOcxUXTEjhc0c6kzHAEBHYdb/YQLbdcmsOnu+tYPS+Fv753guuXZY/5fkcE++CjVmC1O0ek0IqiwN2XFbCjvJ+L5t+E4ZPfjWjaKmdezRt7O+gatDM9N5I3v6wkKkRHzoQQBo22URWPje0Gapr6iQrWMj4ANo5xjBNAPxjIZe5O2oHSVgrTQ3nwqmKOVHRwrKqTqBAdAXoVE9PCPCaOLpfkkfqfRWyYnte+I1k9i2+PNLFkRiJ/3XQck9XJPesKvNzzz4fZ6qB30ELPgIUUiVHTAwAcTrdaZ7Qoceewj0ygr5rUuACeeuucV4BKKcNsdfCnd47xx7tnYbY66O43s3z2BGpbBugZsBDkp6apx0XGguvp+fB3nCU5BIUKJAn1xIv5tKSXrFQNuROCxyzC8lPdXZqrLs7gvr/sZvnUOGZe8jD+GgFj2S46PvyD27xPlDEzfQbZVyxC0Ppj6DcwJ8GJ4/hGXD1NBC6/l/YxCBoAQ8m34HJhba0B3DPe3V88j9/kZYgKFQMHP0OuH30e3Vx3goA56wlb+xCSzYrLNMjgsa+wdZ5BVOvwK74YU90JBg5t9uzjshgx1R5Dk5SHuda7S4VMjsslUZwZzsy8KF7bUu5Jh4gM9uGG5dnoNAqvtpsgCHT3j5S/n4XF5vR8Rs9i66FGlk5PRDnupzeOcXjQ0m0kyPf/ZvwLznkAORwuFPL/GxLqvwXCsPmtw+lCKZehkgn/K+P8swSHIIDVKY1qkAruzv+03Ej6DVa6+80smhpPRX0PG4ZVCmeGmz4BehXrL0wjKkSHJLnISQ6hd9CC2Wrn3ssKSA1XIK/dS99bT3m89dQJOQTOXIejvxPJMdJLCMAx0InTOED/vg89j5mqDmCuPUbE+l/Ru/MdJKsRUaWld8fbHvLnfNh723AMdOKTPhV7XxtiQjHmqIk88obbuFYUBcIDtNx9WQGt3Ua+PdzI9cuyefGTU17R7RkJgRSkhfLoy4f46RWFvLy5jJgwPekJQbz2eblXdPyJ6i5Onu7mgSuLiA3To1LKuHByPE6Xi70lrRwobfM8d7/BSmltNzPyopDLRd74vJwt+xrYsDidFz8pZcPidAxmG939ZtbMT0EQQSET2fRtNWNBIRcRZQKM3aP6UUMmCiRF+Y2ICj8fJ2q6mJMf9b3Po5ILXLskk2feL2FPSSv3rZ/I/tI2D/m3aEo8MeF6Xvyk1EPmZCQEsmZeCm9vrSIjIYjrlmXS2mWktmUAk8VBckwAO481c+eafDQqGVq1gtZuI72DFkwWBxHBOq+U2slZ4SycFEdbtxGr3UmQv4a71rotGd74ooKeAff3JSZMzz3rCqht6R/hgZMcoUXmsmOsPEjIxbdgaa6i8+M/ITnt7mSvlGIQBLRpUxjY+/65HUU5QfM20Pbmw7gs52pZw/4PUVQfJHzmGrq+/Dsyu42JaVPwV60nMcIXjUpOyNBpBvdu8joPx0AXzs2Pc9tFv+SeF8t4/9sashKDiA7TceHkOADCgrT09JvxUSsQBTzfA7vDhcPhIj7C12OEDqDXKphdEM2ek63sHZ5QmJQVwfLZE/jrphMIgoDBaMNfr6a1y23evXBSHF8fPON1bqIA6y9Io7V7CLPFQXFGmNdxZuVHU1LdxdZDjYT6p1O07nFsJ7YgdTcg+kcgZS1i80kTh6vcPqQ+Gnebo6VriG1HGr839Oabw41MzQpnvGQdxzjGCaAfBORygam5kWzZW8/AkI3mziHOtA0yIy+K3AnBqBUi928o4p1vzs36Vzf2exmeAdj+iayxf8jKA1cV095jIshPPaps+SwGjTaK0sPOGeOMAZdLGtHplssENMPdk7mFMWzZ5zaRm5wVwfziGExmBwhumW5ZXS8psf509Zl44LlzclxRgOsvyeaYPJCUFb9E3VWBJnICTqsJQeWD6BdGz+YGnE6JuUWx7D7RgvE7MuBAXzX5KSG8vLmc9RemcvOlOSjkImatiLzkXYxl5wzqcDmxlu0gyGmlPeVSwmxNGL/8Cx51jeT6fvNjl8tdxZ89f60v6ug07L3t6AsW0PHubwlb+RMGDnzitZuo0RO67A76d23CWHUAXE7k/mH4T18JgDI0DkPFflTBUYSuuBdbRwOGE9/iNPZjaSpHm5iPufa4W2afMRVtUgGiPojGNhkXT0vgVy8e8Jq/b+028ptXDvHnu2ehPo9AdDpdZCUG8e4YlxcdqqO73zti1O5wYXe6UIrjy+k4xgHuBLC2buP/WQIYuNV84P5+auSy/7Pz+E+GIAjYJXhzSwV7S1pxuiTCArVctzSTxAhfhH8y8yOJAha7i85eE1qNAl8fJR29phFKW0FwKyz89SqcLol3t7rTqR65cSoI8OsXDnit430GK8+8V8Jvbp5K9Zk+bnnyW366oZDoUD3bDp0h2VSPYffbXsew1J+ka6Cb0BX3fP9FiyKKwEjsvef8ViSHjb697+NbsBBbey1O0yCWxpHBB2dhqjmCJqUIZWAiHxzq5ZPPSz1/c7kkMhKD6DdauXxRGlqVAn+9kt/dPoOTNd0MWewUpodR3zLAIy8eZF5RLP56JX+4cyZ1rQNYbU4v8uf85x0y2ThY1s7722oYNNpQK2XMLYr1JHo6nBIZCYEcrezkUFk7WUlBzJ4Yw98+PIkA3L+hiKffPupJXgN3ffGr6yeTGhdIXcvgiOOCm6R45fMKFk2Jx99H+U8/Fz82qOQC4UE+BPqqPQTJdxHmr0UmCt87deNySuQnB/PYjVPZ+HUlB0pbuWttPi99WoZaKSMjMZCn3zqGKMDSGYkUpIbSa7BgsTu55dIc/vj2MVJi/HnyjSOe50yI9GVmXhQ+ajkWu5NfP7PHi7DJnRDMfZcX8sTrh5mZF8WEGO/ocKhgbmEMaXEBXtfW1GHgq4MN+KjPjfj6aBRkJgaxYU4orv42dJkzsDRVYDjx7bmLlFwYqw7gtBgJmL0ObUIOTtMgkt2K3dDLUNkeL/LnLOw9LUgOGyEX3YIgk+EY6GJw19vkTruCxEAB65b3R+wDIFlNqPtOExOmp7SumxVzJnDydDdOl4ui9DAGDDZcQM6EYP50z2xOne7GaLGTGhtAV7+Za5dm8s7XVR4LiltX5fG7N47QeJ4y60y7gagQHbetyuPk6S6yk4M9ISSbd9dx7dJMbl6Rw1cHz9A7YCEp2o81C1L5cHsNF06Jp63HxOyJMXx54IyH2JucFe5JHN52rB2DJYx202RiYmbSMWhnx5tnPCN/qXGBnDmPPEqO8R/h23Q+XC7pP3Yccxzj+N/iR08A1dbW8thjj3H8+HF8fHxYtmwZd911F0rl2P4LnZ2dvPrqq+zdu5fGxkb0ej1FRUXcc889REV9f6fiXwGHw8WUrHCOV3XS1m3k9S3lXLYwlWB/DSU1XXy8s5Zrlrq7G559nC7K6npYNCWeL/Y3AKBSyMaUTJ99/Om3jnHdskyGzHYCfdWjmh4CxIXr0WmVKOQiYYFaj1ninMJo/HUq2nqM7DjaTJCfekQCyYLiOJxOF4IAwf4aWruMXDw9gSA/DU++fsRT5KoUMq5dmonZ6uSrg95mzy4J/vHRKR66upijLSYmq5XudJHhqE1BoeaWxbdQ4XDgkiR+tqGILfvqOVTegSgITMuJYH5xHDaHE5PFjtMp8dKnpQwM2fjL9RkYy/YwGsyVB0iespLud17i/NEqp3EAn+Qit9JnFGiTCujd8SbI5ATNuxJR7YO5vgRBlCGIMgJmX4bkHEm4hSy9A4ehD3VsOggCxqoDOPo76P7sWcJWPYCo0oLdTPeXzyPZLO5Z8cU3MXj0S3C5cNksyPRBhFx0C0OndtC1+Rkkl5PkCQUowlaTGKnndLN3cWp3uPj6YCPLZybgHH4vJEkiPFBLbJjea4E/i1XzUnjvO51OvVaB8nvSJcYxjv82GEx2jBYHQb7/M+P5fwU8KWAOFzBOAP0r4AAe+U5UdEevid+8ephfXTeZhDCfMaPfXaLIO1ur+PZIk2et9tereOjqYq/t8lNCWDYzidK6Hjr7TNS1DLBmQSqvbSnni331xEX4jtnE2fh1FamxAbgk2HOildBALTlRCuy7Php1e3tvKy7zEKLWF5dpJJkh0wci0/oRvOhGJEmia/NfcRrcPi3m2hMEzr4cY8U+tCmTkGl8cBpH78KLah1DJdtQzYpj3ynv0XGlXGTZrCQe+tveETVFbLgetVKOn4+KiWkhLJmRwLyiWFo7h2hoHyQzMZjj1aPHUk/JjqC5c8hLXWWxOdmyt57eATOXzJrA53vrmTMxhj6DlfYeI6W1PSwojsNfryIi2IfnPz7lRf6AezzvidcOc/+VRRwsbR9RS108PYGS0918c7iJbw43cdOKbIpTQ0cv0H6kcDpcxIT4cNH0BP608fio2yyaGo/jfzACJ0gS0UEa7lmXj9MpoZSLPHX7DOxOF3/YeAxwkxCltd38+qUDnpfRT6fkzjX5npEtcHtZrpgzAbPFAYLAb145NIJcLTndTVykL5OzwpiZHzVqSt62I03ER/h6qWHWLkwlPFCLRiXjF+tSSAqWIxMkrAo9Po4BFGFxiFo97RsfG/U6LWdOIYiX07P1Vayt1YgqLSGX3I3h6BdjvjZD5fuQ6/wxlGxDGRpH4NwN9Pb3IYoybKPYEpyFcqCZDYsv4sTwdyMh0pdAXzUWq4PuAbf655vDjYQFahEEt2Lu4521mK0O7rmsgNtW59FvsGJ3umjpHBq1NmzpGqKhbYCm9kGuWJzh9d196dMyokJ0zC6IRu+jpLVriCGTjRPVXSycFMebX1YSE67np1cU8sW+Bg6WtSFJkieEpKqxjzULUvh0dx3ffOc3QS4TuHBynIf0k8tE9D5KijPDOXm6e9TXY25hDEq5gNPxn/MdHMc4/t/iR333NjAwwJVXXondbuevf/0rd999N5s2beKJJ5743v3KysrYunUrixYt4rnnnuP++++nurqaVatW0ds7it/MvxhquUhrl5EbLsnm1pW55EwIwV+v4rM9dby8uYzeQQuVDb1EfSfO/aMdtfjpVfz0ikKm5UTQ3mNkWk7kqMeYlhNJoK+KO9bkER2qp6yui3ULU0fdNjxIS0SQD0+9eYTeATNXXpTBhkXprJgzgYNl7bz5ZSW1zQPcc1kBCoUMXx8FoQEaIoK0rJ6XQkKkLzVN/UzPjaS730xyrD+ZiW559vmLsNXu5LkPTmJ3OD0+R99FSU0XU6IcDO18w0P+AEh2C72f/JGsEBdyUcBHIyclJoD71k/k7nX5xITrcblcPP9RKWsWpPDrFw8wMOReQOROM9/1zTkHCcE2hMvsPfbWs/0tfIsWI9P5j9hDHZ+N5LDhHOonZNFNGKsP0fXpXzDXn0RQqN0dUUlCEXjuvRFVWsJWP4CtrZb+Pe/Rv+c9BLmC8NUPoAiOBqB32+tYmioYPLzFI9e3NJXT8cHv8S1chO/kJaiSJxGy7A66tvzt/2HvrAPkKO///5pZ9z13z0ly0bu4hyQkhECEkAR3aangLS0tbaHAry0tWqAt7gECwUICIe6ei5y7+926zfz+2Msmm7ujxrfGvf67HdmZ2ZuZ5/nI+439xPZgqbEs4So7gG3Nz7nropR+rVsAxbWd+M+qDFIoFcgCPHDjZK68IC+kIxIfpef2y8ZxorKjny3qynk5aFX/1Y+QIYb4RmnumyRG/ge0gA25gP3fIAgCDW2Ofs/D07z48Qm8g8x3FUqRrYcb+HJ/XVgcoNvmoaqhN/SOz02LYM74FB56aS/vfVXGtsMNPLf2WNDtauVYls7OorhmYItkgKrGXuKjDABMG5PI7qImUqPUAwZ3TuNprSVyzlUDnLBI9Pk34G6qwF1fjK+jnvjV9yPogscqKNVIrl4sky5CNAYtrwdDnzsBb1sdWq2WhGhD6POcFCsPfWcaNoeHXocXg05FXKSeKIuWlfNyuOqC4SyfPYzMJDNbDzXQ6/DSbfOQGGtkz/Fmnn73yIDvOYDZBcl8srNqwGV7jjczNieGe64s5I/vH+MPbx3iusX5RFm0HCxu4afXTkCrUVJe3z3g9o3tDjq6Xdy2YgxXLMxj9LBopo5K4J4rC1kwOY21ZwWd/vThcTx/xQ3rvxE5IDEyI4qLZ2SGfS6KAt9ZPgqL4W9XIpMkGUGSUQogBSSUyKgUItWNvYweFk1rp5PNB+vD7p0eu5ffvHYArUbJ3PEpZCaZeeDGybzzRSkfba+kpKZz0GfhF3truWLBcA4WDxw8BNi4t4Y5hcEx2cT8oJvt1oM1jDR0Ervr93S/8WO8xzdhcDTSs/UNmt58EFGpDhuvnouvrQ5vezDpKXmc+NrrEJSDJw1ElQbZH+wj9LbW0Ln5dSL0CnyyiNIyeLWp35rKh1srEAUBpULA5fbx5DtHeOilfazfXY3bGyAjIWh5n5ZgRqdWMnlkAj+7fhKHilv5/u8243T7qG+xseVQ/aDfs/d4M9PHJlPXYsdi1DAyKyq0rKHNzhsbinlu7TFkZBpabdx9RSFatZIfXz0BjUpBR48bg07JnZcXEh9lCLOtf+GjE9x1RSHjcmJCRfZZSRbuvWoCH26rCAXB0+JNHC1rJ9KsISspXB8VgmPZaaMTQ0nPIYb4tvNfXQH09ttv43A4ePrpp7FarQAEAgF++ctfcssttxAXFzfgdoWFhaxfvx6l8szpFxQUMHv2bD788EOuv/76f8Xhh/D7JQpyYzlZ3cmuokYSog2kJ1h45r1joXW2Hqrne5eO7afiv35XFfdcUUh2SgQNrQ7mTkhFpVSw/Ug9/oCMUiEwc1wy44fHsWF3NSOzo/nD84f41c1TqGrq5YoFeXy4tTzUPjUqK5oVc7P5eGclGUlWuu1e2rudeHwBXn3vjGD0sfL2UG/9I9+dRkltNyadCq1GybHydgpyYinIi+XjHZWsmDOMNZvKBj3/L/fXMmVUIpsP1vVblh2nwXtg4BJXkOk9+DnrugrxBmQuOz+vL0sn4PYEeOzNQ5gNahrbHCHxaQBJ8fXZeUGlQ58zMZj11JkJ2DvxtlTRs/8TEi5/APvJXTiK9yCq1JgKF6KOTqHtkz+iikkh4LLhri4iYtZlKM1R2Iu2EXD2oEnKAcAwahaOoq1ELbiRrq1v4W2pDn2v/dhmnGX7iV16B83vPIKvowFRPcBEUgrQs+cjLFOX4SrZjSY2lUBv/4yH7HMjnNjArDHj2XQoPNuaGGUIOi0A3U4fa7cUU9tXznvRjEye/dFcfP4AKoWIKIpsP9wQqiLTaZSsOC+bKfnxQy/TIYY4i+ZOJwJBkft/F6e14fx/hxbNEH87SqXI8a9xKaptseGXZAaKR7h9Eh9uHVjn572vSrnnyvH86oU9LJ2ZxVPvHuknUutw+fjTB0Xce9V4ks4KoJxLbISOnj43q5RYE6vn56LXgV2pHlTnR2WNxd1YTuyyO7Ed/Qp/TxvquAwskxbjaarEdmgDotaIceQMfG21xF70fVrWPIIxfzq9Bz/HVXOCuGV3YRo5C1dVEZ76U2H7j5h9OYKoxDJzNe/ubuXKhXmoVQq6bB7aupzUt/SSlWzllzdNptsedETNTY2kucPBY28cxO0NYDVpWD0/F4fHz0Mv7uWR26bT1uWk2+4lI9ESpmVyGlkOOqcNhs3h5dX1p0I6gq9+dpLF0zOpa7GRFKWnscM16LYATo+fx948RFaSJehI5A3w7PvH+NUtU8LWkySZqoYeRqRa/6ot+n8boiSxZHoGCyalUVLbhVolkpVkRaMY4Af5B4iN0DOnMIWXPhlYtzIvPRKZoMzA7MJkvtxXS32rnbz0CDp7PQNuA0G9S0mWB21fA+jqdWPUBzsK5o5P4fF3DvPcd0bS/vq9EAg6eGkSsmhZ83BoG8n79f8zysgE9MPG4zgZrER3lOzFmD+d7h3vDri+IXcS3XvWETnnSpQRcYCAUqXkgy2tXDHpUvwb/9hvG0Gjx2nN5ETlCU5UdrDzWBPfXzmWioZuZBmOV3RwvKKD714ymmmjE9mwp5rvrBhNU5ud9zdX0N7j4qoLhhMXZSDKomP7kcb+B9aHKArkpUXw42d2EGnRcuflhazdXM7OY41IUrCaa/6kNGYXpKDTKHn981PsKQrqb+k0Su64bBxZyVaeff8o44fHMacwmY19XQENbXZ++9oB5k9K5aIZmVhNGhwuH0+tOUJr15nrLMkyBq0Sk0HDNReOoKyum53HGgkEJGaMTWJcbuygad8hhvg28l8dANq2bRtTpkwJBX8ALrjgAh544AF27tzJ8uXLB9zObDb3+yw+Pp7IyEhaWwfPBPxfIQgC7T0u/tBX5mrSd/eLYNucPg4Wt3DzslG8vv5UqAf2xotH8uzaopBQ8+d7qpkzPoV7r5qASa9CpRTZebQRp9vHnPGpNHc6uH11AX6/zAeby4my6PjuijEoRBGFQqCkpovfvHaA+D43rl6Hl/QEC7/4y54Bj/35D4q4etFwnnznCBB8mN97VSFvbixGFOG2FWPx+AL9yqfPpqXDycis6AGXpURpCBwa/DcRepqJMStZu6OeGWOTQxVTp0mNN/X77mP1HsYl5eJtKDl3d6gTshDVGhQGK/6uZhRaA8ZRM/EmZqGyxCF5XMiCiHHENOSAD6U5htZ1jxM171o8LVXYT2zHPOFC/LZOura+Fdqvt7UG+/HtJF71IMb8mUiO7rDgz2kklx37iR0Y8ibjLD8wYNsYgLv2JObChQhyAGdJ/9Ll0/hrjjCmYBabDoV/vnh6JsgypQ29PPrq/lBGrabZxu7jTXz3kjEU5MYgBCQEKcBty0fj8gXw+oJWoFqliDQ0wRxiiDBaOp1YjOqwDOa/GqV4RgNoiG8eSZKJseoGXa7TKBnMAE6SZWzOgRWBW7tcFFW08aOrxqNUKsjPiKK9x0VV45mqHYUocOncHP743hEunjmMddsqBpxfL5ySzrqtFSybncXmg3XsPdHM6IsjMI6ahe3wF/3WF3VGlJZoet59FFFnwjz+gr6AjUjzOw+HOXG6a09gGD4V67RLUMdnYi5cSPvnf0Jy2bCf3IEmNR/LpMUw4QLcdcWIGh3a5DzsJ3diP7ED1YI7eP+Nw7y/pZK7rijg9fXFtHQ6SU8wc82FI/j9mwfDrlFeegT39Gm1dNs8PLf2GLevHsfhklY+2FLOdy4ZQ3FNJ3qtghuXjORPHx4POzfNINXFZy9PjDbQ2evG4w1Q1djL5QuM5KRa8Xj8GHQqlAphQMcoQQC9VoUkBU0vTuuP5KRGDNjpNZjL5v8CgiyjUwoUDAtWf0iS/I20u2mVApfOzUanUfZrDYSgZsz44XHc+9R2fH6Ju68o5KsDwWRiU7uDC6ZkDLrvhGgDPr/E2Jxo9hzvrx8Fwd+yvceFQafCpFfz0C1TCJR8FnTcEpVEzr+W5rd+FbaNq+oYusyxuCqP9NufKioJb2s1uvSR+Hvb8dQX46kvwTJxMZrE7JCRyGkM+dORZZmI6Svo2vEe3pYqEET0eZO5ZMJSTrRqyZ20Au+BdcEKcEBpjUMx73s8/smZpGpnr5tj5e2MyY7hSOmZtrE3NhRz71XjMejUnKjsQKdRsWp+Nhajlm2H63nho+PkpkZw/qQ0TlUP3CFx/sRUdhxp4AerxiHL0NHjYuW8bOZOSMHtCSAIsOtYI6eqO9l6qD5Mp8fl8fPwy/u5ffU47r6iEJcnQFKsEZ9fYuuheiQZ7C4fReUdTBmZiFatxKRTUZgXR3F1J+dNSCHKosPp9jEyM5pfvrCHpnYHw5KtTBwRhygKHC5tw6RXkxxnJDlS/3cJ9Q8xxP8q/9UBoMrKSi655JKwz8xmMzExMVRWVg6y1cBUVVXR0dFBVlbWN3mIfxMSwYfwabx+KSSifDYb99Yyelg03790LFaTBqfbhyiKYS5dAUnmy321fLmvlkizlusvymdMdgzPrj0WCoQIAty0ZCSZSRY2H6zvV1UEkJ5gprnTQX5mJL0O76AZq85eN1r1mWN1efw88vJ+fnbDJDbtr2PNl2XIffsbrGQ+O8VKW1d/8TuDToU1woI3Om1A+3UAVUI2VoUJQTjzIvvdGwdCjlYtnU7mFKaEbfPmlnpGXn0j6q1P420941Cgikkh5sLv0vTaz5BcwUG3q/IIPfs/JW7ZnYg6Ey3vPhrSPgCISxiGv6uZrh3vEr3wFhwndqLPHEPzOw9zLrLPTfsXLxKz+DY6D30+4PkAuCoOEXX+DSiMEThO7UYVnYygUOJrbwi94EWNDoUpEtnnQdQMngkWtQZUKhX3r84h3iABMjpzBAqDCq8fnn73SL8xmizDy5+cID1hCrEWTbDKR5bQKQR0iuBvPRT8GWKI/jR1Ov+t1T9wdgvY/6b19L+bQEBi9LBoFKIwoPX1oqnpaFXigNWRClEg2qod1HExMdqIUa+muKYTk0FNXnokV10wnLc2llBW1831F+VzpLSVw6XtaNQqbrt0LH/+sChU4SoKcOG0TJxuP2kJJuYUpvCDx7ZQkBuLt/IA5szR+Hs7cFWcyQgojFbiLvkRUl+LieSy4SzdhyFvMl1b3gwL/pzGcWoXpoLziZp7DW0fP4NhxFRMo2fTteN9NEk5+O2ddO9aizomDdnvoXvXByErZ5ftTELmwy0VzJ+YyuufF7NqXg6PvXGwn6NocXUX2440MHNcMpv2B6sCPthSzoLJabz7ZSnnT0wFAcrqeoix6vjVzVPYd6KZTpubvLRITPqgQO+JAaq2Is1alIqgzuGCyemU13fz7qZSVEoRu9OHFGlAJ0osmpoRZiF/mpnjkkL6KqfRaZRcsSCXinPaxgQhaCn+v1b9cy7fxPmJooAoBh31/H6J0VlRNLQ7iI3QhVV9iAIsmJzOgy/sCQVClQoxJPbcY/ciyzLJscYBx5+r5uXg9UlkJ1uxGNUhmYCz93/xjKAF/LjsWLQaBQeK6pjeETRfsU5dCn5fP8mA3kMbiFt2F5LbiafxjHaiMiKBqPnX0/bpM8g+L9ELb6K1Pjj2b/v4GeIvux9/VwvO8oMIShXGUXP63GD1tLz7/87YocsSzlO7UDaUETv7TtZUZnDRkgeJ0wdweKGiQ+KV9xtp6ggfVx881cKMsUlhAaAeuxd/QA4GR2JNiH19Vnc9sQ2Xx09eegSJMUbS4s3kpUX0az3NSrYwLCWCt74opbOv0n94eiRjsqN5+4sz565SikwbkxQK/liMai6ankl6ohmfX0KlEFGpRB748x4Sow3cvnocM8Ym4fEFUCsV1LbYeOilvZgNau6+opDRw6IZkRHJ21+U0tRuJyc1ggiTNlTJV17fHda62drp5NrFI4ixaP+7J75DDPEN8V99H/T29g5YzWOxWOjpGdwK8FxkWeahhx4iNjaWCy+88J8+LuXfmf31BGQqzrIu9HgDiKKAQafCcc5g6Fh5Oy6Pn4n58ewpaqIwb+A2NwgGZxKiDTz4wl667WfKYGUZPt9dze2XFbD1cEO/F7ZCFJgxNol3NwUfrLERgwcYgH4uYF6/RFO7kxljE/ndG4eQ+0SadxU19fsupUJgVkEy3TYPtS12avvsbEdkRLJ6fi4f7KrnsmkraKs4yLm6PYJSjTttCq1FTr6zfDR/fP8Yn+2q4vZVBdhcXmwOL9mpEfj9EhEmDV224DWwu3zc/3oJNy24gbHnqxBdXfjUFpQ6I81rHgwFf0LXy+um98iX6LMKw4I/AAGXDYUpqk/LZw3GUbPwNA0efPTUnULyuL6231tQqFFFJqJOHIa/vQFPSzWy34Nm5iq8rTV0bQt+j6+9DkGlwTB8Ko7iXQPuyzrrCqwqD52fPH1GtNNoJWrRd/EYMwbNRjvcfnrsHiL/j6sZTjsWKQbRb/hH+Xvvwf8l/q+u6X8L/87zb+l0khhtCLVh/TtQq/sqgALSv/1/4H/1PlQI8NPrJvLwy/vDWu1GZUWxaGo6AgOfu1oUuGJBHk/0VcyezfD0SKIsOu77484wcWetWsFdVxRyvKKd3LQIXv0s2Fq153gTDpePn1w7EY83gNcfID3BjNcXQBAFclKtHOrTNunocREYkUzruiewTl1GxKxVeJsqELUmZL8Xe/lBjMMKEHVGJJcdQa1DUChxlh/qd5yncVUcQfK58bZW4W2twjhqNqZx89DEZ+KqPYHkduCuG8AR7Cy3zMrGHlacl43ZoMbl9fcL/pxm59EG7rlyfCgAVNNsIz7SgEqlwGLS4nYH+OhIBSqlgpnjkrhwegZF5W2MHhbDpv11XLkwjyffORI2ITYb1Hzv0jE8t/YYje0OPttVzbyJqVy3OB+DTsUjL+/jvmsnkhprZOnMTIx6FR9urcDp9qNVK7hwWgazCpJpbHPQ1uWi0+YmOzmCCSPiEIC1W8Jb/S6ZPQy9RvFvkWX/pu7Dr3u2CoLw9U6pfwOyAC6fRFl1Fx29wQBetEWLWgwKGF+xcHioUh5gRGYUx8rbwqrgyuu7GZkVxfGK4HjnxY9PcOflBXy+u5p9J1uQJJkoi5brF+eTGGvg3qd2EGPVcd81E3lrQzFH+wSEk2ONrD4/lw17aymt7eL+6yfx8Mv7SIk1MnvkBKzJwzGOnj2grpbsddPy4R9IuPwBAvZOArYuFAYLAWcvbZ8+EwqqCoozUzDZ70WhNdBTfgCBvmspCgRsHbjKD54J/pyFv7cNi7OO0ka44y8t/Po703h3cylHSgZJmKpEfAMk73QaJSmxJu774w4e/s40nn73KC6PnzmFyYzIiOKFj47j8Qb47iVjmFWQzK5jTcjITB6ZgMWo5pVPT3LRjExe+TR4v4/NiWH3OY58VpOGls7g/Rdl0fKDVeN44/NiXv88GADTqBQsnZXFjRePxOML8PwHRVQ09J/H9Tq8dPS6aWx38Nr6M22mAUnmZNXgrblt3S50GiUKUeR/9LU0xBB/F//VAaBviqeeeoo9e/bwl7/8Bb1e/0/tSxQFIv5KwORcum1uoizasAzFB1vK+fHV4/nVC3vDSvmtRg1XLMzj8bcPo1KIRFkGFxvVqBUoRCEs+HOaeRPTOFraxn3XTOD5D46FMpIxETquvXAEJyo7uG5xPh/vqGRYSiQatWLAPvpgi1X/6p22LifZKcE2Nrc3wIY91dy+ehyvfHoy1G8dF6nn2gtH8NbGEpo7HCyamtHnRiCQEKVHJvhS2FzmY+bye+nZ+DwBezcQLHFVzrmFZzY2cqyyi2WzhzExPx4B+GJfDbuKmtBplNx1RSEuj49f3DSFp9YcCWUE/AGJFqeSDkUsj31UR4+jk0eXRgyopQMgKFS4Kvu7XPTsWRfM4qx7Amf5ISxTluGuOT7AHs4QsLVjyD7T/30uhvxp2E7uRJ8+sq+S6MzoRp8zgdhldyIoVbS8/zviLrkbhTkG88QL6d33aWg9TUIWlmmXoIqMx9tYjioyIRQACti7aX33UeKu/X9o1YowfaSwcxYE1FpVv4oGp9uHvS9wZNSr0Gv/dpHHwTCbB2+p+Hv5R+7B/0W+yWv638i/+vwDkkxrt4vxw+Mxmf59117bV/nj80v/1v+B//X70GjU8tyPz6O0tpseu4fRw6LRqBVIMgREkQiTJjRRDgQkumwePH6JMdkx3HBxPm9uKAkFerJTrPxg1Vh+cY6tOwTfn8+tPcbPb5hMY7s9zMq6qKKd45XtPHXXbLYdbuCpNUeYMiqR2Agdu4qamF0QFK+tabbhjc5HVCjp3v4u6pg0Ore8hezzIPu9xK28j/YNLxB36X0E7N2orLGD+yT0IYgKfO0Nob/tRVtIvOYRuna8j2X8wELQ6rTR7K06UwEUZdHS6/Ri0qvp+hqtFn8g3L7ZatLgcPuYNS6Zti5nyAkVgg5o+040s2RmFntONGNzejla1s6tl4zG5vDS2G4nJc4EMrz0yUka28+MX77cV9snIFxCTmokESYtlU02/H6JuRNSmVOYgs8voVEpiDBrcHsDSAGZnLQIvL4AKqVIpEWLUhTISY1EloNVRivn5ZCTasVs+NdXB/5f3IennyuBgERHr5vmDgd2p4/UeBMWowaTXk1AkhAQ+iUIB8PnD1BU0cGDL+wNC6rmpFq575qJRJt1TBgex01LgzIILo8fs0HdT7/ni301/HDVOIqrO/EHZHodXh59ZT/njU/hgRsmYdSrcXv8WM0afvz0Dnx+icZ2BzaHl7z0SBbPyESSgrpAb28sob7VjkalwOn2oVSIXDUzFj0qkCJx1xxHE5+J0hqHv7sl7Dhkj5OArZOWtb9D1OiDukDntvSHgqECUfOvw1F2EOvkpTS9+jNiVt6H7PehyxwTdH0dBFXDMdLip1PfasfrC3DB5PRBA0Azxyax+WC4mHNSjBGjTsWfNhTj9Ul09XqoburFpFcxdXQiv35pX2jd3791iORYIwW5scyfmIrd5aO+1U5+ZhST8uPw+yXe3zyw3qfD5cNqCv7/X3PhCJ55N1zDx+ML8M6XpVyxII8RGZFhwZ1zOVbWRl3LOVVXDi9Rlq9vzbUYNcRG/e++k4YY4u/hvzoAZDabsdn62xL29PRgsfRXgR+INWvW8Mwzz/DrX/+aKVOm/PUN/gqSJNPbO7jezYCIAsvnDAvp6ACU1XVTVN7Gw9+dxpHSNrp63aQlmBmREcUXe2twe/z4RCGo3K9RDmgHe/6ktLAH7NnERugpqminsd3BZefnEWPVBaPjCgGXx4+vTuKpNUeYXZjCR9vK+eGqcfzu9QNhmRadRsk1i0bw/AfH+u0/Jy2CQEBi8sgENh+s40RlB2ajmp9cM5FuuwelUgAZXvj4RKjq58WPzwj8TRgRx4rzsomP0qNSijy9u5eF0+8hRhfAoNPgV+r51VvF1PXZUn6+u5rbLh2DRqXgsTcO4vNLiEIAg1bJ0dJW/vRBERdOy2TV/BwCAYn4KAMWo5oPtlb0OReo0RmNRK68D9nnRVAoCbh66dm9LmiR63Ghiozvd56+jga6tq8hbvld+LpbcVcXoc+ZEKb/czbalBF4GssR1ToMI6bhOLkzbLk6Ng1tci4t7/8ObVw6547CnaX70WWMwX5yFwR8iCoNvQc+Q6E3E3fpj3DVnECbmo/k7KFjwwsEbB2IejPmgvMx5k+n/bPng/uUJex7P2TRxNms3dFffNugU2ExqhGlAF197XmiKNDt9PPypydCrhnj8+K45sIRWPXKf6j0W6EQMZt19Pa6Qn3Z/+xg9R+6B/+HGOiafpv4d51/a5eTQEBGrxax2b5eBPT/ktNZeJ9f+qeuwdB9+NdRCzA6IwK/JHOqpptXPjtJc4cTg07FxTMymDc+2J701cF61m2twO7yERep5/srx/L/vjedhjY7SoVITVMvTe2OQbXyOnrcOFw+nG4/kWYtkixz05KRJMcaEUWBg8WtIaOFGWMTeeilfSDLZJ6lJfjM+jruXnwfvi+eCFZr9AV/EJXIXjfmcXPxNFUAMoJSiSAqSLjiFzgrDtO775NQ+/FptOmj6Nn3cdhnvp4WPPUnccemok0bGZYMEfVm5ImX8/FrZyaICyen89X+Otp7XP1cTs/GbFDjPSvwtXBKOsfL27loRibvDTDhrGjoweXxs/9EM5ecl83v3jjI21+UYNSpuObCEXy6sypUIXIuX+ytYUx2DEadmnuf3o7HG2B4eiSr5uVwqrqTqqZe0hPMTBudwJ6iZpo6HJw/KZUYqw61UkTou/9uWDwcrz/oUqpSCAS8frq8gztDDcQ3Ebj5Ju/Ds5+tkiRT2+7g4Zf2hUxEAGYXJrN81jDe3FiCQavk/MlpwbabvxIHcvqkfsEfgNLabt79spTL5mcjSzKzRsczIS8Wu8uHTqvkWFk72w6fCUT22L18uLWCn143iU92VHKsvB2dRolJrybCpKGysZfth+q5ZG52WAV0QJJ558tgy5JKKYZaijp63Bi0KkQC/OaqYXhOboGUPASlCpU2FtnvJXbZnbSseYSAo/vMgYsKFOZoRLUWydV/niLqjChMkVinLkObOgLb0c24qo6hSRxG3M1P4nHY6Hr9x8St+BGi3jxoclLSWXG2+dCqFeg0Sjp73YzLjeHwOUGg/IwoIs3akJ09BKsLb189jk92VHCktA2rSYNRryI7xUpeWiTrd1X3+776Vjv1rXYkWaap3cHyOcNIiTPyzHtHMerU/OKmKWjVInqtkhc+OjOmP61bmhJnRJLkQecmH++opDAvFr1WGdrmXCLMWk5UhremtnQ6iYnQDZrUnDchhSizNjSe/Xv4X05kDPHt5b86AJSZmdlP68dms9HW1kZmZuYgW53hiy++4Be/+AU/+MEPWLFixTd2XP6/U3zT6ZfJTLQwb2IqX+6rDX2+cU8NcyekkploJjY/nmfeO8oL644zY1wS37lkDJIks/dEE3deXsATbx8OK58uzIvloumZlNYMbmvv8wfotnt4as2RAZdnJlnITYugpKYTo17Fo9+bwZaDdbR2uchLj2B8XhxPnRPFh6DdYlxksJJq3oRkRmVFoVYpOFnVwe7jTUwaGU9Dq52Ne2tCwZ9zqWuxYdSr8Acknn436D6298SZDMvU0QlMyo8PBYBcHj+J0QZ6O7q44fxUimqdREUasTu9rN0S7Nc+O6MgCPDEHbNDZapXn5eCUH+Mlj3rQvadSnMMUQtvpGvb23g7GomYvoLe/Z/1O1ZvcyXe9no0yXnIHhcBRy+WyUvp2fNh2HqCWot16jLaPnmagNNG5OzLMeRMxFG6D9nnQZ9VgKDW0vbRU4hq3aBuLb37PyVm6R04jm9D8vuxH/ky+LlChXniRfhaqujavia0vuTspXvHexhHz8E8fiG9B9YHj7ulmgUXxvPhzrqwwJ4gwPUX5RNh0uDxnHmRemX40dPbwwZ7+0+1cLKqg8d+OBP1P9H1crrX/5vim9zXfyvf9DX9b+Nfff6NbcGBpcWgJvBvFnsVBQGfX/q3/w98G/7/FAqRg2XtYe9Rh8vHWxtLiY3Qc7ikjW1HzkxQWzqd3P/cLm5dPgq7y8fr64MtED++esLXf5EACdF6vnvJaIx6NW9uLKakugurScP8iancvnpcyAThdDB+/8lmLpqRycfbK7EY1NjRErfkHkSNmtjld9P2ydNILjvKiHjsx7ehzyqga9tbeBrPtC/ps8cTu+wOWj74faiCwThqNu7aE/3fUZKE5PdhL95NzOLbsB3ZRMDWgTJtDIq0sfz45VOhSffsgiSsJg0ltUFNkS6bm6wky4BtH0tmZvFlX/vX9LGJTBgeR1uXE41ayd7jzf3WBzhwqoX4aCOvf17ML26czLGKDoqrO4kwab7WlMLh9jMyM5q7ntyGJAX1Y5bOyuKRV/aHqq/2nWhm7eYybr+sgP2nWvjJs7uYXZDMFQtyUZxVqqQA5IDM15iQ/Uv4pu/DQEDC6ZP45Z/34D1n31sO1hMbocfp9rHneBObDtSxeHoGS2dkIg7SIqZQCBTXdA3qXPjl/lqWzMxE1TfGUAJWnRIfwSoyq1ETVul+rLydioYeHrplCt12L4FAUFfzt68fZPyIOFYvyO3X/u6XJPRaJYumZpCbFsHxinYCkszSWVkMiwig7CrHUbSXyBkr6fjy5TCBZ01yLglX/hL7iR14mitQRyVjyJ9OwNFD9MKbaf3wccKSeYJI5HlXIbmd+Lpa6N69DmQJpSUGyWnDp4tFr1HA9EsJuGyYx80fNKkYyJxC0eZSbl46ine+KKGoop3rLx7JrHHJ7DvZjCTBlFEJpMQa0aoVLJmZRUObnewUK6OHReNw+dh3ooWfXZZLgqIHTcUn3DXGhD47nff2ehisCbS22cacwhQ0SpGf/WkPGrWCi6bHUdXYQ6RZS1ykgdQ4E7UtZ8b473xRyu2rx7H/ZMsgew1W8ticXuaOT+XjHf3lFEQBxubEhtrNzubdTWXccVkBT645EiafMX54bND4JBDA/z+uwTXEEH8r/9UBoJkzZ/Lcc8+FaQF9/vnniKLItGnTvnbbvXv3cuedd3LppZdy2223/SsOd1C8vgA7jzWSmWjmVzdPodvuwaRXYdJreOWzU1Q19BJj1XHhtAxqmm2891UZm/afqdooqenitz+YQXVjLx29bhKiDAgC7D7ewOisWH563UQcLh9f7KsNCSEeKW1FAGaMSRr0YbxgUhqRJg3zJqTi9vjRqZUsnzOMjh43CgF67B7OK0yho8dNt82DIAR7f6+9MB+1SuT9TWUsnJLOl/tqOXmWe8B7X5VxzYUjmFOYwsmqgQNU6QkWkOG19cUDLt91rIkHbpzM2s1lCILAjy7NIabrOPrDnxDjcjA2fSyWCYv448Z6JufHkhKpoaXXx54TrXj9EpFmLaIYFAzMTrGSr6qnZ/P7Yd/h722jdd0TxF78AyS3HWfFYSJmX0HXljc5+2WuyypAnzOBgKMHR/kBDMMKMeZPRx2Xhv34NgKOHrTJueizx9O5+Q0CjuAAt3Pz64g6I9bpK0GW6d77Ef6u4GDWPHExjuKBndcCjh68LVX4Opswjp6DoNYhe13IAR+ahEzaPn5qwO3sRVuJX3lfKACkjEjAYDTw+9tn8eG2CuqabSTGGFg8PZMoswZRkkNnqVCKfLmzOiz4cxqH28+m/XUsnpL2raw4GWIICFrAK0QBc59l8L8TpUIYcgH7F+H2SwNORkQBLEYNAUnm3qvGIwjg80lsPljH4dI23vi8mEe+Ox1RgAOnWlEqRTQqRViL12mUChGP18+fPzzOrctH85M/7ggF7Vs6nby5oZjpY5O4ZM4wlGfps3y2q5rV83N4+vsT0DYcxPnpc3R4gsEPTWIO8Svvo+2z5xBVGlTWWDo3v9bPndJZdgBBpSFixkrc1ccxj78AX1cznZteDVtPUGsRVRpkjxNBocRTV4xq4nLaugN4JRFssGJuNi63n8QYI3qtkpKaLvLSI5ClYBDgnqvG8+qnp9hzIqgXaNSpWDU/l5GZkZgNKlafn0tbl4s/vHmI+jY791xZiE6jHFA7SKUUkWUZWZZxevwkRRvISjRT2dTL6GExbD9cz8T8eCLMWlo6nRw81UJAkinIi+FUdUcoiLZkZhZ/+eh4v9/FH5D50wdF3LR0JI+9cYgth+qZNyGFpEj9P62F85+OKAocK2/vF/w5zee7q7l56SiO9enpfLKjilnjkok2qgY0BhMEgc6vsWL3+iUCkozqHG01jUKkrK6b21ePY82m0tB4MiZCx+r5uSgVCswGNT6/hMvtY1ZBMhq1AoNOjV6rQjzLpX7rwXruuXI8u4uawtqepmfrsH/4OJFzrkATl0nn5jf6uXt56kto++QZzAXnI2r1yIEAjS/9GFGtJfaSe4lb+WPsx7fh62xEFZmEadRMbMe24G2rwzR2Lo5TQQ1H48iZ+B09qNUNeJw9yLKMv7sV/bBC3A2lQS2gM1cN/Xk3cLQVfv2daWzcW8vhPnHnP31QhNWkYUx2DGa9CoVC4N6nd3DftRPo6HFRmBOFEj97i+pJT47kJyuz0Wx9Cl97LafvJM+ut7j4/O9gc8Sy+Wh/o5j4KD3ddjfpiWaeuHMWLo+ftVvKcbn9RFt1bD/SwG0rxtLYbmfv8WZEUWDq6AScbj9ZyYN3aOi1SmxOH+NyY6ho6A6bI4iiwK3LRtHV6yLK0l9Mv7S2i417q3nwlik0tDpwe/0kxhjQaZQoFcKQeckQQ5zFf3UAaPXq1bz22mvcdttt3HLLLbS0tPCb3/yG1atXExd3Rhz5mmuuobGxkS++CNqfVlRUcNttt5Gens6SJUs4cuRIaN3IyEhSU1P/pedh0CqxOb1MGplATVMvxTUdFOTG8eCL+0KDkKYOB8cq2rn8/FxmFSSz9dCZPt5F0zI4WtZGlFlHjFXHloP1rJqfw85jTby+PmiNaTVqWDIri7E5Maz5shSTQcXc8akcLWvvtz8IBnJ0WiUOt5+mDgfJsUY+3l5Je4+Lwrw48jMjMRvUpCWYuW3FGJCDmkMmvYrqpm5ApNfl5UBxa1jw5zSvfHqSP9w+C5VSHHCisnJeNq1drn4i2GfT2uXEqFdzxexkUms+prP0TMDE39WE68QWbrvqITqPboeWEmRLPNd/ZwE9mKnv8tHS5eL21ePw9nbi3/a7Ab9D9jgJOLrxttfTu+8TjPkziF/9EzxNlcg+D7phhYhqLZ7aU9iKtiCICqSkHCSvKyjmbI3DPG4+7oZSmt/+dT8hP8llRxCg58DnoeCPOjYN08iZNLz04wGPSZOci7e1Fmf5QQIuGxEzLg0bjMu+QbQUZImAy4agVCP7vVimLMMZEDFr4PpFw/H0lasrhGDG8Oxxms8vc6h04L5ygIMlrSyYmMqQtt4Q31ZaulxEmDR/s+bF/yUKhTDkAvYvwuUNDGhPHWHWEmHSYjaoeeKdw3i8AUx6FRdOz6RweBx/WXec9h4XB4vbGD88jrQ4E8tmZ4U555zmkjnDEAWBe68az+/fOhSatGrUClbOzSEj0Uxnr5vkWCMalTIskLT/ZAvnRTbi2PJy2D49jaW0fvg48Zf9HH9XE0prbL/gz2kcp3ZjHr8IyetCGZlA22fPElbRICqJXngz3XuDLWGm0XNQZE3k7e1NzBibxPot5ew61oRRp0KtUtBtcyPJQXfQqxcNp6qplw27a3jx4xP87vszuWBqGg6XH18gwKb9dbz3VRk3Lx3JB1vKwxJWvQ4vRr1qwADQrIJkrCY1tc12fvvaARxuP9+7dAx1zb0snz2M6WMS2Ha4kYr6blLjTH3OpbWMz4vjzQ0lof1YTRraBmlX6XV4USsVCELQXOOzXdXcsiSfgP9/PwB0tnbSufQ6vCREG7htxRie/6AIf0Bi04Farpyfg3eAcqhAQCIvPWLQ/SVEGfoCm+HXVQpIzJ2Qwu/fPMToYTEsmz2MQEDG5vSiVop02dzYXT52HWtkx9FGAOZOSEWWobnDwfxJaWzYE3SCrWrqQakQ2Lj3jDNsRqIZS0853q5mQECTkEHXljcGPEZPQynitEvo2v4ulskXgyyhikrCVXmY3oOfY8ibjD5zHP7eDlrWPhYapynNUQBoErNRx2WgNEfh62xCEBV4WyqRXA6QA0TMXEXkjFU4Ko8gag0ok0fgkxXkOPxUdzhCAumn6bZ5QuP6EZlR+AMSGqXMd+bH4z6xGX9jKeMiElDFL8Zz9Atc7eHbg4xj47NcsuIRthxrDQvciQJMHpnAwy/v57X1xfz02olkJVtYNmsYXr/EjiP12Jw+Hn11P1nJFsZmxyDJQY2t+lY7v799JmaDesDn5oVTM4iyaGnqcHD7qnHUttiobu7FoFWREG3gs13VNLbZ+c7yMfzm9QNh2qQ6jZIlM4fhcPl48ZPjiIJAt81DZpKFH11ZyL//zTzEEP85/FcHgCwWC6+88goPPvggt912GwaDgRUrVnDHHXeErSdJEoHAmYfE0aNHsdls2Gw2LrvssrB1ly1bxqOPPvovOf7TaJQiM8cl89LHJ7jh4nwgGCAZSFPlnS9L+c33Z4Qe7BdOTSfSrGXd1grK6rr7hI8L+PO6Io6WnekZ7rZ7eOXTk9xw8UgevGUqnb0uPN4AGUkWkuOMzClMZt+JZgKSzPjhcbR2OnnynSM8eMsUTDo1L358MtRudbKqE51Gyc9vmMSLH52gIC+WSIuWti4XWw/Xc8NF+cRF6rliwXAOl7YSH6WnuaN/yfWWQ3X8/IZJPPzy/pCGkUopcvmCXNRKxaDlwKcx9GVwxqeI2Hf3r5aRvS66tr6B2hpPb90pqDuF5/gWtAu+x6YDCg6VdWLQKvnjbWPpPru/WhBRx2cgiEq8bTV4W2vwdQRbxewntmM/sQNVXDpRc69GUGlo++hJvK016HMnYho1G1mSUBisKPQmFAYL7tqT6NJH0bPno37HqDTHoE3Nx9fVguRxoksdDgj47d1B1wh7uOUmgohl/AW0rnsCCA46rFOXg6gAKRDmKjEQokoDgkjUBbfiN8SF4lF+XyBUrj5Q17UoCpj0g4s9m/Xq4MR3qLx2iG8pLf8BFvCnUYjit6L96v8CURRQKEQkSf7aikaFQkQQBLSDPPLOn5TGu5tK2XWWG47N6ePtjSUsmz2MqaMT8PklTlR24HD5UChElEqRH64ex3ubymhos5MQZeDimZm4PH4e+PMefnz1hFDbtFopcs+VhXy4pSKsvfnKhXl8f+VYHnvzILIMK6bE4Nt3TlWoIGIumI9p3Pm0r/8TkbMvJ+DqRVBpBk4gyBIBeycKrZHune8Ts+g7+Hpa8bZUoTRGok0ZTs/+T/HUF6NOyqE7Mh+fU0l6ggWdRsmevmtgd/ngrGBNdVMvHT1uPtleSZfNw7jcGDYdqOWDvrbts3nszUP87PpJYQGg9AQzRr0KzpHzmZgfTyAgsf1II5/sqAKCdtVxkXo0qjiqmmw8/vah0KT2ZFUnX+6v45c3Taa0tovctAh2HgsGDP6atl1AkhEIhibc3sCAFS7/a0iSzPC0CD4cZHlSjJFT1Z0cPNXCTUtH8uz7x3C5Bw9IyzLEWHVkJpmpbOjvqnX9xSPQKIR+rbWyIOD2Brj6whG0d7vYc7yJSJOWOeOT6ez14PEGsBjUTB+TiFGvoqyum2mjE/jVC3sBuHnZKK5dPILPdlYxOjuGT3dWhe1/VLoZRfU2ANx1p9BljOHr1NEFUUHU/OtQGCPQpIxActkQ9Rb0ORMQlGpsRVvDnGQFhQpRZyLmou8jSwEEpQZBqcJdexJbX2t/8LuDf8cuvxvViDkEWivpfP//4e9uRmGKZNSk5dy1PJvH1vbXwxKF4PsgMdpAmrKLjld+dUbPq+4UsZlj6Dm+ZbBfBn1HMdkpVkpru4FgkOXGJSP5cn9taIz+/AfHeODGydz95DbUKgX3XjWej7YHr2VFfU+Yy/HU0QnsKmrijssK+ON7R2nrDgZXBQGmjUkkJc7ET57diSzD+ZNS8UsS88an8dWBOixGDXPHpyCKAl5vgJ9eN5GS6i6aOxwkxBjITLTw2vpTqJQi1ywawca9NSGR74Ak8x+QmxliiP8Y/qsDQABZWVm8/PLLX7vOa6+9Fvb38uXLWb58+f/hUf19SAGJ2AgdDreP9m43ZoN6UIG0gCTT2uXkV7dMQatW4vdL/LTvYQlBXR9ZJiz4czbvfFHCrctHo9UoaO9x4XD7eePz4AM+NkJPfZudJ985jEIUuX31WFweP5WNPcybkEJagpm1m8tDVvQvfXKSKaMTeOPzM21a509KQxQEXuwTd46L1LPivGw6ety8tbEk7Fh67V6irTruurwAr19CkmQsRg1KUaC+1UZti40RGZEDtokZdSqSY43cf/0k5NJP+y0/javiCKZld9B74LR2j4znqz+zetEvOFTWicPt52RND6mWGPw9bZjGzsWQOwl3fQmyz4tl0kUoDFZARmmNwd/Vgio2DdOoWQhaI47jW/G21mCdcSkAjrKDGPMm46o8jOzzos8uRBWbgq+ng/hVP6Fj06v42mpBENFnj8dccD7N7z6KefwFqLVpdG59m4CtE6UllpjF36PnwKe4Ko6ALKGOzyBi2gp6DqxHcp/JvvltHYhaA5KzF197Peq49AEzuQpjBLI5Hu3Kh1FGReF0/+0jVRGZJTOzBv2/WjIzExGZoSnnEN9WWrqcpMeb/92HAfRVAA2Vu/9diKKAV4KGFjunarpIiNQzPCMSjUJAPisIIIgCbr/M8fJW2rrd5GdGcf/1k3ji7UMhXZHEaAPjh8f1e+ed5rOdVfzk2omhluwx2dEcKm7hohmZHCxu5YIp6RTkxXKyqoNPdlSFhFsFgVDbyrxJaWzaX8fxyjMTyvPGp2AyqDla1sbPrp/E7qImMuMNuHvOqt4URGIu/j7e5koCbgeRcy7DVXkEWQoQu+SHeNvq6Nr2Tni1qiCiiojH21yFo3g3IBMx+0p0GePw97bQe+BzEESil9yOJ3IYNT0iH315ksOlbayal8PEEfHsOdFfq0ejUhAbqafLFgw6zRqXzF/WDeyiKUkyJbVdDEu2Ul7fTVaShV6Hl6WzhtFr97L/VDNqpYIpoxJwuHwU13bR0BZ0CkqIMnDZ+bk8/PJ+bl89jsffPtwvUOMPSDz+zmFuWTaK2Eg9Jr0Km9OHJMmDCtKqlCJqlRjKe8wpTP5WVBlIkkxGooUoi7afCxfA8jnDWLe1gtoWGzPGJRFl0TKrIOlrg9JKZO67egLvbCpjy8F6/AGJ+Cg911+UT2a8uV8wVhIFdhU1h8xDYiJ0ZCRaSI0z0dTu5Il3DocqTEx6FTcvHcW4nBgMOhWFebEcLG5l3dYKLluQy91XFGLQqnh2bbihiccngSrotGs/thnT6DkQCvcNgCzR8u6jqCITiLn4h0heV1DP0esEROIuuQs54Kd17WMEHD0YR89GaYoCBARRgag3Izm6w4I/pwnYu+nd/xnWGStpeP+RM5/bOun98i9kj72AiyeP4aM9jWHbTRwRT6RZw6+uzqd33a/7ibkjKgbVmwTwO3q4cclUnC4/Lo8fQRD4ZEdl2HOntctFj91LeoKF8vpuFKLA5JHx7DlHn8ukV7FwcjoPv7yPbeYG7rhsHC5vALvTh7nvufX4O2fuzfL6HgrzYtl/qoX2Hhe/ee1Av+MbkRHJHZcVsO9EM4+9cTDo5DY9k+YOB8OSrSycko5GpUCtEpD/xyvzhhji7+G/PgD0v4JWIbB4WgaCAFqN4mvX9foCJEcbae9x8frnxf3sUZs7Bi/Ntbt8wZJpp5eUODNRyEiyHCqPBfqqiMbxpw+KaOl0UpAXi9cvcbyig6WzskiIMrBhbw2ltV2sOC87tF1+ZhQZiWb+31kPaXtDD0+/e5Tlc4b1azUbPyKOD7dWcNGMTLYfrufgqRauu3gkv/jLHiaMiCPSrGHV/FyeWnM4rNdXo1Zw37UT+NOHxxAEke9lf82Q63Rt9lnIPjcm2RZqP3tvdys/m70Sua0SUWvos17vY9/H6IYVEjFzNYJGjyYlF4Xeiuz3gdeJ/eQOVNHJKI0ReJoqUVljaX7n16HNe/Z+hDZ9NOZx8xH1Jkxj56I0RSEIAs6qY7Ss/R2y140qMhGVNRZ95licVcfw97TS8sFjmEbNwrz8LkSdEb+9i44vX8bfE96KpdBbkD3BgGHP/k+JXfJDWj98PMyRQlDrUC24g/verCTGqueHK2NhwFqfgZEkmdRYIwsnp/H5npqwZRdMSSMl1vgPuYANMcT/Av6AREePm3HZMf/uQwFAKQ7cWjvEwAgCuAMyD/x5T5hAsFop8sCNk0mK1CFJMoIoUNVi5+GX9+E/qxohJdbIvVeN56EX95GTGsGSmZmhitmB8PgCaDUK1u8OZsklGaaMTODz3TUcONWCRq0gJc4YMkA4zfHKDgqHx7H/ZAvjcmJ45OUzWiUGnYopoxJC+iVbDtVz3zXjMehlvDojkisYDDHmTw9WpWYV4K48SveucO07fc5Eoi+4mfbPnjuz7xFTEVRa1PGZxC65HX9PG97mClrf/y0KczTGkTPQpY/BqTRz4+/3cd1F+Vy2IBe9VsVH2yt5+LvTkIWga6RJr0aSZfYcb2JyfjwuT3BCGhOhIznWOGA712m6e92Y9Com5cdzzYUjaGy388grB0mONZKfGYU/IPPKpyexOX3cf/1EPtkeFJFdMiuLF9adwOcPEJDkAV1TAdq6XEgSPL+2iLsuL+T1z4vZsLeG1fNzw1xKT7N89jC+OhDUY0yONZKbGvGt0cFTi/DgLVN45r2jIUcms0HNpXOzqWuxhcR/dx9rYsGkvz5GkGVQIHPF/BxWzAm2cqmUAhqF2D/4Iwh02rxhv0lbl4teu5cLpqTz4At7woqRbU4fv3/rEPdfN4lfvbCHGy4eSVKMkVHDonn1s1PUtdjIS4+gMC82LLCx91QHl11+Pq6yfUgeJ87Kw+jzJuEcQJ9RmzIcT1/izdfZhL+3A0fpXhzHt4XW6d6xBnPhQuJW3U/Hhr9gmbAYR/khVBHx9OxaS9QFN+OsGEx2GRwle4MV3wPgObqB+ZfMDgsAJUQbWDp7GD//024evTwDuaup33a+zibU8Zl4m/sLLgMoUkbxxNuHWTk3mz++f4yAxIDV+ZIsB6vxCLadzilMYVxOLFsO1eNw+5g1LpnpoxMoqe1Cq1HS1O5g2+EGOm1ujpa1k5sWQWK0kUn58Rw41YLPHwwADku28vr6U9y4dBRN7Q66bZ5Qe6taKXLR9Ex+9/pBdFolv7h5CvUtNh56cS+Bs/4B0uJN3H/9JBRfU701xBDfNoYCQP8h+P0S43Ji+GJfLZNGJpAca6S+1d5vPZVSJD3BQrfDQ6RFR2q8Kcw1w+X2kxA1uGWhKECsVceeoiaefOcIZqOa21cX8Jd1x0NZxrkTUvhsVxVJsUZuXjqKPSeaae7TAVIoRJbMyqKu1cbJqs4wscMLpqQPaAkPsG5rBT+9bmIoAJQcayQuSk+6w4zd6aO8vodF0zMpKm/H4wuwu6iJn10/ifc2lXLd4nxcHj81zTZirDry0iM5WdXByaouVEoR5hbA/g8G/F5DzkRcVUf7fS5LEqIQDBxVNPRQqxpNXl4cTa//vN+6rvKD6DLHohq9EGoO4qo4hNJoxdvZBJKEaew8eg5sIHLO5bSseaTf9u7qY+gyRhPwedDEZ9L20ZOhII6oMxF/1U/x97TRufl1BAQipgcd6To2vkjvgfW4qoqIvvBW2tY92U9DSGmNg8gUlFNWI3rsGIeN5XinFsO8H2NyNSF01iBbEjCk5vHchgaqm2zMLkgJnfvfgyjLrJgzjIVT0tl/qhkBgfHD4zBqlYO6ewwxxLeBtm4XkgwR/yktYAphqAXs70AWRP687lg/dyivX+Khl/bx+O0zUQngCcg88sr+sOAPQF2rnS/21fLr70wF4P7ndnHHZQVf+51Otz9UMXTwVAuzryjkuQ+KgGB7c9MAbdOb9tfyo6snUNnQQyAgh01yZ41LCumZmPQqfrY6lzhvKf4TdZgLL6B7x7vBfedOon39nzCMmNYv+APgLN2HLi0fVXQyvvYGDHmTMOROpvfQRnztdXjbaoldekcoURLobadn1wdok/MIKIPVMK+vL+auKwoZnhHJ4ukZyLLM9NGJvLr+FG1dLjQqBfMmppKVbKWp3c6Dt0zBoFNR22wjPcEcZlV9NmNzYzHqVBwrb6e508Gh4lauvyiftzaWhM490qzlzssLWLulPHR9TmuKKPta+74OWZapbbHx5JojXDgtg9R4E2aDml/dPIU3NxZT12InMdrAsllZNLY7KKnpYvX8HOaOT0GJ/K1oAYNgUkinELl99TjqWux4fAF8fomNe2rCgigBSWb+xFQIBP6m6bcckIKOon2+8ecGfwQBnJ4A+waoKJs8Mp4th+oH7ESX5eD9M2VUIn987yh/uGMWdz+xHY8vQIxVx5zCFEZkRPHZzupQRVpynJFuRTTq4TPxndpG97Y1xK++HyQJZ+l+TlcCadNHYZ10cdApj6DBhhzwhgV/TtN78HN0GaOJvuAW/PZOtIlZCCoNCnMkCq2xX8Ly3JOQPIMkeGWJCIWT6xbnY3d5yUmNQJZlHn1lf1/12sD7tR3eSOTcq2ld+/t+6yjjh9ElWLhtRSIGnYo7LivAH5DRahR8daCOXceCAaXkWCORZi2zC5LxeANsPVxPbloEH26tYFZhMgW5sVQ19vCndcdRKYP/MwJQ09zL/ElpLJqawdGydqoae4i26rjvmglsPdzA1FEJfLKzkusuzsfh8nH3lYXYHF70WhX+QIBAQGbNprKQk+Dy2cN4+t2jYcEfgJpmG2u+LOXy+TnI35IA7RBD/DWGAkD/QShkmfMnpSLJMrcuH82v/tLfYvOaRcN5/fNT7D/ZgkIUuGhGJlddMDykATA6OwaTQR0qXz6XiSPiOVDcGqriaO9287s3DnLrstGYDCpsDh+JMQb++N5RFk5J51cv7g0NmI6UtvH57hp+dv1ErrlwBH987yitXWcGqSqlOOB3QnAQYHf6MOlVTMxPYMaYRGqbbIzJjqat20VijJEIsyb0Ug9IMr9/6xA3Lwta5VY39RAXaWBcTgwltV28vv4UggCjh0WjskSjKbwA28H14dfTYMU0dh4t7//mnAutRGmO5tdXWdDiBlGF2mrEdnjjoL9N7/5PEWNHE5k+DqUpEkGpwV11DH32eJTmaJSmCFwVhwff/sBnRMxcTcDehXXqchQGK7IUQBWZQPv6P+FpONMq4Cw/iDZtJHGX3EPA40ShNSCqdGiT83DXnUQdn4ll/CJEnRHRYKWsxcnGumTaul3MNhr4cGsFje0OYqw6slNyGa6JxFgvsXBKOjXNNibmx+MZJAP61xBlGbNGwYLxKUCfvey3ZcQ7xBCD0NLXshtp/g8JAIlDLWB/D25fgEMl/Z1uAFweP00dTjLiDFRUdw9aWbXzaCPXLBrO+5vLcXsDON1+oq39nWogWC1bfJY5QmO7I2y/vQ4vkWZtv+2iLTrqW208cstETIKbZ67PRBJVnGj0IqmNHCppRadR8MQtozF425FENUJKHgq9BXV0MgFnD4Jah2HULGyH+7eZnMZ2bAuxS+/A39uBu/oYrR8+ji59JOYJi8Dvo3XdE8je8Db1gKObgF+NTqPE5fEjSTJ/WXecX9w0mZrmXp5bWxRa1+ML8OnOYGvbpPx4Xvz4BFnJFm5cMooV52XzuzcOnntIxEXqsRjV7DjSyKc7q7hl2Sj2n2whKdbID1aNRRQEIs1aLAY1DreXqrMSY6e1Y/wBCY1aMaj5hNWoCYnKdva6Q+OqmAgd112Yzw9XjkMhCigVAhaTls5uFzPHJKJRiQTOMU74NiDLMmqFyKmqTt79qr/+DMD8iamIskTgG7o4CqXI3sMNuL39xzAxEXoOlw58HwPUt9mZNjoRf0DmRGUHURYt/oDEd/vEqtduLuf2ywrYtL+WnUcbmT8hlQdeO87ls+YwaskslJU7kfxerDMuJWL6CiS/F8ntwNNYTssHvw/dE6Yxc+jd/9mgx2E7tgXLlKW0rHmEuBX3Iqp1RM5cja+3Df2wQnr2rBtwO92wAhzlg1cI2bwCX+2v5d6rx9Nt9/LTZ3eGlrU6ReJNkQRs4ZIK/p42HCd3EX/lr+j66hU8jeUIai3q/LnY0mfx8b42xo9Q8NBL+0JtkEqFyKVzs0mIMvDx9kquuyifh17ci9sbYOmsTLJTIvD4Aty4ZCQKUeDpNUfC7OD3HG9m+thErlyQh83l49FX9uM+S8x50/5avr9yLO1dLqoaelEIIh9sLqGsvju0zvD0SFbOy6Gy7z5PjjVS2djTL/hzmi2H6lkxZxiqb0OP5hBD/A0MBYD+w1CLAm02L1aDmvuvn8SeE81UNwaDH9NGJ7DnRHNIBDEgyXy4tYLvXDI6VDE0d0IKf1lXxA9Xj+MPbx4Ks+1OizdxzeJ87vjDlrDv7LZ5+P2bB7n/+kn89vUD3HPleBbPyOS594/1y5b5AxJPrjnCfddM4Nblo+l1eFkwOZUx2UEh6PuumcCe401sO9zQ70EcYdZy6yWj2VPUzEMvBUX4fn/7LLRqJfWtNjq6XSTHGkPr9zq8/O71g8RH6clKsqJSuOmyufH5JZ64czbNHU7au528uaWeOflzGJY5BvuRL5HcDrTpozDkTKTl/d/2E7U0z7oSuipRf/FnAn29z+ppK/Cd1TJ1LpLLhuT3B63RdSZEjQ514jB0qSPw97Shikwg4By85F9y2VFHJ+Mo3k3P3k9QGC0oIxIxZI/H01iGYfhUDMOn9K0t4CjeQ8DjxF1fjO3AeqIuuAV93mSssy9HdttpX/98SCDaYrRy+eybeO2QgpLabhKiDTS2OzhvfAoJ0QbW766mtdNJeoKZH64aR0NrMMt6dqOh0FcRNJB9rSAEl5/9vzBUXTDEEGdo7XSiVIgYdYMLpf8rUQy1gP1d+PzS18axex1eRNFEt30Qh0WC72OvT6KkJvhcXrOplNtWjOUPbx0Kc7tJiDZwzaLhISHagfAHJNq6nGQlW6io70EU4Jblo4NtEXoJoehT2g58EtLzGJuQhXb+bVQ3xbB8QgT+7S/RXHkEEIhaeBOS20HP3o9QxaajTRuJLjWf3v2Da+cFXDZkn5vWtb8L6YOoY9Nwlh3CdujzAbdR6C3oAm6uvXAEa7eUo+iz7N5+pAHlIOqrJyqDbeVqpUhFfQ8vfnScS+dm84NVY3nni1JaOp2IAhQOj2Px9Ex+8+oBvr9yLJ/vrsbm9KLTKDlS2saR0jZUSpGn7pqNEpkIvZrf/WAmHT1uehweUuKMIR2fTftrWT0/N0w4G4LvuasvHM4n5wgBA1yxII+8dCsKWSYQkFEKAmqVAo1SwO+XCXyL77WAX2LexFQ2H6rrF+wclmxhWLKln3jzP/V9EpTX9TCrIDkk8H2ajh4XidHGMNHhs0mMNoQ0i7p6Peg0Si6emcXT7x4JHfvr60+yen4eU0YmEBupo8fu5dlPqzBoldx5yfkMaz1Bz9rfIfs8xC6/m44vXgoTdgYQNQYCrv4V/KeRXDZEjQ7zhAvp2vo2MRd9j559n6BOyEKTmIM+ZxLO0vDng6DWETHr8rDWzLNRGK20uFTUtNhwuf2U1oYbiLyxrZkfz7uRwKe/619JnpiNz5KMfdptGJQSnTYvnxzs4OC2k9x3zUQePCsRDMHn01sbS7jv2gn8YvgUXl9/isZ2BxdOyyDKouONz4tpaLMzc1wSBq2K1HgTly3IDZ4HAruKGtlxpIHzJ6axblsFF0zNYHh6JAFJwu0JsH53Nc++f4x7rxrPJedl88aG4rDgD8Cp6k4+2FrORTMyWfNlKTqNEvsgCWgIPuMDkoxKMRQBGmIIGAoA/ccRkGTK63tIjjGg0yiRZYkpoxKxGFT89o2DYZaHp/l0ZxVzJ6TyyqcnMWjVlNX18OaGEn6wahw2p7fPHtaEw+WjucMemuyfjdcvsW5bBQ/cOJkeuwetRjloL35HjxuvT8JsVCMKAmaDhiffOYzbG0ClFJlVkMzdVxby2BuHQr3CBq0Su9PLb18Lz+w1ttl55bNTNLU7EAR44IbJrNtWGTZ5ae5w0tzh5CfXTuAv647zvZVjae1y8eCLZ16Qmw/W8cJdk1AnDENy2XBVHcPXXk/U+ddjO7IJb2sNSmscxinLkX1eOt57OOw4nKV7MY2Zi7N0HwOhTc3HonLR8vbvQxkUbdpI9BljUcWkImqNBBzdOE7uGGT7EUg+D9qMMejSR+PrbkEdk0LnV68Rs/g2PE3ltH38NLLPg6BUYxw9G1Gjx5g/A218FuqkbJwlexGVKhrf+03YCzxg7ybw6WPcePnDFHVqaGy1MT43BrvHz+Nvn6lK6rK1caSsjR+sHMeOo43MGZcUdDARBdp7PQQkCatRg1oM6iYJooA3INPU7sTp9pEab0KnUiAMVfwMMUQYLV0uIk2aAZ+t/w6UCmEoAPR3oNUosBo1gwZ40hPMyDLkpgWtqpNjjWSnROD1BThc2orT7ScuUo9aJRIbqaeioYemdgcvfHScW5ePxu3109blIj3RTGaCBYUAty4fxbptldidPgpyY4k0ayjIjeFQSbA9+M0Nxdxz5Xg+3lFJdmoEReXtGLQKpqfU07M3vOXZ01RB4MNHuH71A3SvfxpXXdCYwTp1KZ6GUuxFWzDkTUablE3DX+5Gk5CFYcQ0XNUDt2zrUoaHi8OKSgzDpxBw9A4YAFJa4xBEEbXeRG9VLzctHYXYt6yt20VyjLHfNqepbbYRbdXR2O6grK4bpULko22VLJ8zDLNBjUmnpqXLyaOvBN1CT1V3kplkIS3ezPud5aH9XHZ+bkiwW5KhpLaLP753lOzUCApzY7j7igIeeeUAe443Exuh554rC9m4t5aWTgep8SZWzcvFqFOycfcZjTu9VskVC/IYmREJfonBfay+3WhE+PWt09hyqI5thxtRKgQWTklnfF5ssC3uG/gOpTL4H6VQiIzNjqHb7iE/MyokpA6wq6iJe68az46jDQMGdOdOSOUPbwUraPLSIvhiXy0KhRAWuBqTHcvbX5RQVtfNj64ej1op4vVLxEcbSPJW0705aCqjjs8IVmNPuojOL18O+x53fTG69JHYBtDcgeB40NfdiqexjIhZlyH7vdiPbSEmYwySs6ev7XIiPQc+Q3I70GWORV+wiHcPdDNvxnWIHz2M5DqTcBRUWlTn386LnzQQY9Xh8vqJMIVXo1Y19vLGYQ2XX/IrOPoxgbZqFJYYTJOX47cm88aXVZTWdRFj1bFgUjqFI9TERBrYe7xp0LbJdVsryM+M4mRVJ4V5scRG6Pjt62fG+LFWPZFWLT0OL4+/dRiPL4BGpeC88SnccXkBu483smpeLm9tLObDreXIcrCFc9W8HGparNidPjITzbzy6ckBv/9YWTtLZ2YB0NBmZ9nsYaFlMRE6Fk5OJynGiCzLlNd3ByUjhsavQwwBDAWA/uMQRYFT1R3kpFh5f3N5MDumEnnni7IBgz8QtB8uyI2hx56FRh18SVY29PDoq/uZMSaJKaMSkGSZqqZe0hPMeH0D7+dIaRtXLsxDoRD+6jNSFAUOlbTS1OZg/e7q0Oc+v8SX+2rpsXtYOiuL974qQyEK3LR0FOu297d27bZ7uG7xCB5+eT+yDGu3lHPnZQU8/0FRaDCuVopccl42ESYttS12lAoFFoPIAzdOotvm5fM91Ri0Shp6ReyqkaRZHIh+GZ/aQCdWmrMuIWOGET9KnD4P7nX39zsOX1sdKksMCnM0gd5znK4USqxTl9P05i/Dyt7dNcdp7WwkesFNqKITUZgiUVrj8He3hG8vKrBMXoL95A4MORPxttXRueVNrNMvQTesEFd1EfaiLaHVZb8X26GNSG4HhtzJ2Ev2YFQo0aSMoHffJ/2yN8GNJALH1jNx9Hn0VnyC4NbgzZqF+cJMnv+sMtQTL8vwymcnefCWKciCQJfDw5ZD9bR0OEmNNzF6WDROt4/clAiqW+38v1fDS3PnTUhh9fxcRGlocjnEEKdp7nRiNar/3YcRQiEK+PxD09W/Fa1S5NoLR/D4O/3beCflx9Pe7eK19adYfl4Wv7xpMvWtdo6Wt6PTKPn+yrFUN/aSlWzhnU2lzBqXzO4+2/P6Vju/ee0AFqMai0HD2JyY4IRYkhmVHkleagSSJKNWikgBiVuXj+aZ945ytKwdh9vP/3vtALdfNpYYq55Pd1TyzHfH0vPWkwOeg7+3DaG3BV97Q/ADUYkmOY/uNY8AAqYxc2le8wjIEv7eNvRZBfTs/jDMLABAUKoxFS7AfiKYzBD1ZqLmX0fX1rfRZYzGOvtyure8xWm9EFVMKlFzr6Ht0z8SsHUwc/5tvLjbxsWz81CIAiMzozhecY5P+1mYDWqcZ7UkOz1+altsPPt+MDg1f2IqvQ5vSLjZ55fISbXicPuQZZm0eBOXL8hjWKI55Nbm8kms+bKUe68aT0V9DycqO2npdPHId6ex/1QLH2wup7yhm8vm5yLLYDGosRqUSAG4+4oC3L4AXp+EQatEq+wvQjxEOJIkowIWTkxlTkEygiCg6dMh+2en2wpF0HVvz/EWDpe0EhOhY/6kNLYeqmfxtAxGZETy1YE67E4fo7OisRjU/GDlOP6yrihUAa/XKrl60Qh2FzXhdPvJS48kNlKPSinS0R3eyqhUCKHE5Z6iJmYVJPPFvlpWTI4hcOCp4DEZrcRc9H3aP/8zUXOuwDJ5CT37PgUp+H2ehjLiV/4I+/HtyL7wqihRb8aQN5n29c/jaSynrbOR+FU/DVXz2Yu2YBo7D0fJXszjL0BljUcwRfPD549SmBfHsXY1Ey//NbRW4KwvRbYk4Y7M5rEN9TS3O/n5jZOxObyolCIWo5oe+5nqw21Fbewv7eKWi5YRO1zkaFUPu9a28/2VKXx1sA6PN0BFfQ97jjdzw0X5TB+TyJsbSwf9bZo7nEwfkwTA/IlpPP52eHtacpyRLYca2HywLvSZxxes8LG7fCydlcWjr+6n7SzX485eN8+uPcbtq8ehUoj9ZDDO5bQgtNPtx+HykZNqxWrSMnd8Cms2lVJR34NSITJzXBIywWr2gSrdhxji28ZQAOg/DCkgsWhKBlsP14f65FfNyyU13sTOgZN1pMaZkGXISbXi8vjJTY2gtsXGnZcXcLyig+c/KMLl8TM6OxqNSsGIjEiKBhiQTRmVwMa9NUwYEU98lD6U+TgXg06FUaciNc7Eq5+e6rccgi4Ay2YPQ5JkxubE8NH2Soqrw0tSBQHiIw3Ut9lJiTNR12LjWHk7dpeP6y7KJzZCh9Ptx2JU88mOSlpijHzv0jE0d9gx6tRUNvTS1u3iwqkZZKda+f2bhyir68ZsUJOROJzMBAOT3BIxGi9KvxJBpUerCmBceBOCQomr8gi9RzZBIPjSbt/4ArGX/IiefR/jLN4NUgBNci6Rs6/AdmI7pjHnoTRF4e9tw358O5LbTsDWieT34m1vxF1znLhLf0zP7g+xn9wJkh9NYjbWqcvp2bMOV+UR7Ec2YRgxjcjZl+OsOETknCtp3N4/IAXgOLkL67RLUEcm4K47hSF3IrqsAhwlewe07fS2VOOuKeoTJwRO7GDUiNncfMEsnvvsTKl0t81DR7ebVtnFr1/aF8ru7D/Vwic7q7j7ikKc3gC/fmlvP7HTL/fXkZFkYXp+/NCgeIgh+mjpcpKdZPl3H0YIxVAF0N9FwC8xKjOSH101nlc+O0lzhxODVsmF0zJJTzTx8Cv7kGVYPD2D5z8oorH9jBDr1kP1XDwzE61awcY9tWiUSq5cmMdbG0tCbdB2p48V52UTbdKEJh+BgIRIn617QEKpFDlS2s7EEfFcdcEI2rqcGHRKjDo1+040M29iGjabIyzzfy7ethrilt+No3Qf7rpTeJuDz31T4UIEjY7YZXei0BkR1FrkgI+4VT+he+f7wXeGLKFNG0nEzNWIOhPa5Fx0qfkoLTF07XgPV+URPI1lxF36Y7Sr7gNBRFCq8LZU0/bJUwTs3QB4trzAJYt+wZeH6pkxNpFJ+QkMT4+ksd3er0VIp1FiNqjptp2pvNJrlGEVBxPz4/ntWc6iE0bEExehQ5Zlnrp7NiICasUZnR+lUsHBE43cuGQkv38zvP1u/e5qvnfpGH7z/enUtzqoa7ExNicGnVIk0GcRLQJ6pYi+r+Jk6D33txPwS8FJhSzj/wYstwVBwOYJ8JNnd4X9jp/tCv6OzZ1OTlV3snJuDjmpERwuaeGBP+8hPcHMbZeORa9VolaKKJUKAgGJCJOG8yeloVIKfLG3lqUzs7Ceo9tWVNHBhOHxVDX2suNoI/deNZ7WLhdxVi2mcfNRx6Qgao0gBYiccSlNr/8cfc5E4lbcg+zzIiiVKPQWJK+PxKsfomPTq7irj4Egoh9WgHXGShxlB/A0BqvXArZOvC3VqBKyEA1mdJnj8Ns6cJUfCib8AHViDr+98Q4eWVPKx9sryUmN4KoL8tCPHEVReRsnd3eQnxXD5QuG89aGYm5dPprn1h7jh6vG8eSaI2H3V1aSBYPJyM9fPRAKdH20rYKZY5P4Yl9taL1XPjvFI9+dSmqciSOl4c6zp0mNN9HSeeZZ6D4nSW3Qqdh6qO7czQAoqemkoycxLPhzNu9vLueuywvo7O2voXYaQQCNKihmYNKriLJo+d6lY+mxe3ngT7tCiU9/QOKrA3UUV3fyy5sm8/U+y0MM8e1gKAD0H4YsQ5RJQ5RFx8QR8bzy6Sm2H2kgJzUiJK54LlcuzKO8vpuclAgUCoGrLxxOt83D2xtLwhzC9p9s4WhpG7/5/gwefmkfrWdlPtITzMydkMojL+9jy6EGfnnTZK65cAR/Xne83/fdtGQkHq8ftycwoB0kwKisSJL0XmLyNej0PqKMir7MylmuYVMz2HuimdoWG+NyYkK2uZUNPfzhrUPceXkBz75/lAdunExcpAG3109Lh4PMZCsPvbg3FJz6fHc1T941m4q+HuFeh5fCDD0TddV4N7yH5PeiXHI7npI9tJzcFaygEUQMeZOJW3oHrR8+jhzwEbB10t3WjmLiSmLzJiMIAp6WagStAX3mGHr3foKzdD+q6GRiFt+Go2QP9qKtuGtPYJmwmLYPHsN+bDOGEdOIX/ljBLUWd3UR7Rv+HCa85zi5M1QJJAf8A1f0BP8b8HU00LP3E0DGduRLrFMvIfHqX+PrbgmWDRdtwVUVjAwqI+JCukCn8Z3cwuiLp2PQqXCc1dJn0Kn4xZ939yvt9XgDbD5YR3ZKRL/gz2nWbi5nQl7s0MNjiCEAnz9AV6+HiLz+or3/LhTiX8+cDhGOIMuMSLXy4E1T8EsSgiDyxuenePerUmQZpo5KYFdRU1jw5zQfbatkVFYwwfLxjkqmj0nkp9dNDOmNDM+IDAYUvibz7AvIrN9dTVldN7csG0VxdSdRVh29Di9jhkWTnmCmt70Zg1rXT4D5NApzNAG3HeOI6ZjGzCXg7CVi9mUIChUt7zyM5AmaNqjjM4hZ/D0EUYkucxyRsy5DDviRPE569n4cpj+itMZhnbIEZ8keJLcD2e/tcwATiF/9Ezq+fCXsHSb73JhwUNXYw63LR/PEO4exObzccVkBD7+0L1SVoVEp+MGqsazdfKaNa0x2DGV13cHfQwhq7xwsbg39L0/MjyPWqg1VoAYncjKBs+adohh0/Xrvq7KwoMFp/vj+MZ65Zw6jMyMQEPD5AqHKoSH+ORQKEbdfwuuXUCpEtCrxn3JdkgR4/sOiwX/Hu+cwZWQ8KqWIxyeRGGPih6vGcay8jafWHMEfkPjpdRPZsLeG7UcakSQZURSYMSaRyaMS2H6kgVXzcsNcdxva7Hx/yTCmZ47A7w9Q3dHJ3PHJpERC++69dG15EwBBo8c6dRnm8RfQvfP9vipuAZARFCqSbvwdze/9BsvEi4hecAOy30vA0UP7+j/hbSoPOxd3/Snil91F1873cNecQKEzYh5/AYKooH3DX/A2luKrOMjKeYV4fcXMLkgKBqLb7IwcFk2UWUdFQzetHTZGpRpobO3hqkXD2bi3husvykevVWFzeDAZ1NS12Pnd6wfDxu57jjdx5+WFYQEgf0CirtXOhBFxyH4PM/PMKGQ/3R6BNbvbKK7uYtmsLP7YV6l3bvfzyMwoPD5pQEc2gIRoY1j73rnUtdhwuv2U1HSFtcaezbTRiZh0Kh66dSpRFi2iKHCiooNNB+oG/N7GdgfVTb1kJ5r/qhvgEEP8rzM0h/sPRJBlpubH45Nkbrg4nzc2lLDnRBN3X1HICx8dDw1ADToVl83PRZKDk/LrL8rnYHErpXVdrJqXExb8OY3XL/HGhmIeuHEyXTYPR8raSE8w4/L4+d0bB4MDLb/ER9sruPz84fzk2gl8tK2SxvZgn/zSWVkoRIEPtlYwpzBlwOO/dVEGY9U19L79UyRnL06FkpWj5nDxrYt46O0SjHo1509Kw+7y8cqnJxmREdnv5aHXKkmMNnLvVRPotnkZkRFFpEVDlEXLY28c6je5CQQkoiw62rpdZCZZmBjRgeeLVwGwTLoI+4ltOEvO0veRJRyndiEHfJgnLKJnzzpEnQkxMgmlKND64R9Q6M3ELr0TT91JOja8ENrU39OKq+IQ0RfcjK+rBYXejCwHMORNwVG8G/uxzWhi0+jZ/xn+noEdKRwle9FljOknUN3vf0Gp5vSAInbp7TjLD9H46k+R/V5EnRHL+EXoMsfSuelVTKPm0PrxU/32oSrfyricqew4GmxLSIw2oBCFMIHws/H6JJraBxcwDE5qggOdIYb4ttPa7UaGfpoL/04UooB/qAUMpTI4IZXkYKWNVil+rYB9ICChIHj9Ohxeth9tDC2bNDKB59YOUoYLHCpuZURmJIdL2thxtJEdRxsxG9QIAnxvxRiGJZi+9ol59lH9+cMiVpyXw/SxiRw41Ux6gpnGdgdGnRVj4SJsu/vbt1tmrERljqF9w5/xNlcCYBgxDUPuJFr77KlP422uounNXxKz+DYUOiMBt5OmV38y4HH5u1tQGKzBPwQRQTw9bJRx15egjksLVRqdTaRZy85jjSGXnve/KuNnN07iwMlWIs1aspIt7D/ZTEltF4IQdCi9bvEI9p9s5toLR1CQF0tReTv7TwbP/7zxKei1Snx+KSQwDX0GBQKhhIVCgqQY46BtZ5IkU1bbzeiMCKShVuZvDFkQOFzewavrT9HZ60YhCswYm8Tl5+eiEuR/SHrF45MoKv+a37Gum1GZkZTW9/DCR8dp7XIh9v0v/eZ702ntcvHZrir2nWgJ227r4QZ8foloq46fPb+L+6+byCufncLp8nLvxUnIXz6J3FCCAhgem0bkxbfT8tYvw9olZY+Trs1vELXwJtSxaXhbazg9JpIDPjyNZUjOXjrWP0f0olvp2vZOvwTdaZSWONo+eQZ37QkgeM95miow5E0mYsZKura9jfPIBlpzk1k2OwuzXk17twtJDurgFOZEcet5cYilW6CjClFOQD16AdecP4zGHh8Wg5rt9V08897RARN7shwc0Z2LQhRIMfpJUO3C8fEOkALEGq3cO+0yxFXTqGzzc8XCPHSaYKXV2S1nS2Zl4RnAqe00vQ4PcZFxgy436VUoFAIFebHMHJeE5vNi9hxvQu57lk8fm8TVC4ejFGRkWcaPSFVTL0adilNVgweW9p9sYXiqFe8gkhpDDPFtYSgA9B+KIMuoBYiP0mExqDla1saf1xVx8cwsoi06JElGkmWOlLbi8viJturQ61R8daCOsTkxIQ2CgThc0srMcUmhXvon3jkSVh0SYdIwf1I6e082k51s4bLzc3F5/Mhy8IVgc3hp6XRSVt/dT4SvMDeasapKPNteO/OFAT/2I1+g6WzivtU3sbPExntfldHSGcxGzhibREqsieHpUSgUAr0OL9nJVt7+soRdx86ch8Wo5sdXTyAuSo/9HJeHLpubBVPSeH19cbBXe9/ToWXatJF9VTT9cZYeIH7VfThO7iJi+b2U29S0tHYxOmcS1rFzkHwuOje9NuC2nVveJHrBTYgaPa6yQxhHzUIdm0bv4Y2gUA7YpnUa2e9F1BrxttagTsjC29RfH0kVk4q/M3j+1mnL6T38Ba7KI6HlkstO1/Y1WKcuI3bFj3CWHUDuy/CGEfCg7hswa1QKrl2cT8fXlNU2ttmZPiaRjXtrB1yekWhGHIr/DDEEEHQAg/+wAJBCwOX+dg9wJUHgSEUnb2wopqXTSaRZy6Vzs5mQF4v4N8xGz61uDbbVDX5Nvf4ASoUY9lmvw0titIGkWBNeGZSCgEIIZsu9AZBkGZVCRBRhd1Ezk0cmUFbXHUzqbCljTkE841M11NfU89WJHg6VtPHzKyaQOLID5/GtnH4I63InYsyZSOMrPwl772iTcuja+tbA18fZi7+7hZ79nxG94EaUlthBExZyX6DEMHwKjoozIq+yz3tWQCiIoNJgFwzMKojh2fePhj4/XNrGhdMyOVzait3po8fu4bEfziQ7JVjdrNcq+ckfd/Dr705nzRelvLWxmOljk1g2exguj58v99fS1O7g6btmn/kuUaDX5eflT09yuLQNpUJg5tjgJPnr8PgC/ZJOQ/zjKBQiRyo7wjS0ApLMlkP11LXY+PHV41H8AwOGv1al4fUFaOpy8sgr+89sIxN0z23u5b5rJoYFf85m9/Emfnb9JD7aXsmDL+3j5zdMIknrov21H4eNoySvG1/diX5aWafp2fMRlomL6dj4QtjnkseFoAjeG/airZjGzaN7+7v9dyAqgvdpX2XR2TiK92AcNQtBqUb2exGQUQgCBr2KzCQLJ6s6SY03cfM0Pe737w9pEFFfguv4ViIv/iFa83DsTj+jh8Xw1iB6PpPy4zlSFl5ho1QIjEpS4/zs9/iaz4xPA/ZubBueRTv3Vt7Zp6akphu1UuSW5aP4ybUT+emzOzHoVPTYPdhdvpCT4bnIMuSlR/brDDjNgsnpbDlYR1ldN4IgkJ8Zxe9/OAu/JGHUqkLVZZIMokLko60VlNV3c/3ifIx69YBVYwCRFu2QDvQQQwDiX1+lPz6fj+LiYpqbm7/p4xniHHodPqaOTgSCgmt/+qCIh1/ex6Ov7uc3rx0gNc7M9iMNtHW50ChFPL4AXn8ArXrw2J5OE8yiPb+2iJQ4E3deVsCscUmMy43hioV5fO/Ssbz3VRmpcSbuf343j79zmIY2O7GROn75lz288PEJVs/P5at9tdy6fBQpcabQvpdNjMa3f+2A3+upPY7S28v7m88Ef7KSLOSkRvDgS3t59NX9/PqlfZyobGf70caw4A9Aj93Lr17Yy6p5uf32/caGEgrz4pg+JpEokzJsICv7fQwerZBBpaNj+p08uLaBh1/Zj1qvJ2LOVTjKDiH7PIMGciSXHYUxgp4Dn9G17W2QAqDWEjF9JeqYNPQ54wf/DTLH4q4vpnvvR0TOuRJlRELYcqU1jqi519C950MQRNTxmWHBn7DrcmA9SoMF29FNAy4Xs2eAILJ0Vhb3XTuB9zeXIQoCykHsMO0uH7lpEVgHmdBedn4uauU/9OgYYoj/OVq6XKiVIgbtf04+RSF+faXL/zqiQmDX8SZ+/9ah0Lums9fN8x8U8dGOymAK+a8QYdIEXWP6OFnVSUHe4Bnr6WOSMOhUYbu+6oLhrDgvm9+8doA7Ht/GY28dpqHLTVWLg5/9eTd3PrGNzYfrcXgkEqONTMyPIy3eRGK0gWe+MwrlwTUIH/+ClH2/5/rkcn57wygeX1fBJnEaMTf8gZhVPyPu0h8ROetyeg981u9dpTBF4escPBnkbatDZY2jc/MbmArOH/haag1BPbzEYUTMXIXtwBkXMG1yLt628ESBZua1NNoVlNV1YzvLllmWgwLOFfU9tHQ6cXsDdPS46ex102338MCfdtNp8/LeV+XMm5SKxyexaX8df1l3nDc+L6a22cbc8SlozvpNHF6Je5/eweE+jRJ/QOarg3UU13SSHDu481huasQ3ak3+bccTkHj1s4H1ICsaeujsdf9DATeNWvG1v2NOWgR/+rC/TAEEx8uDBQEg+P/o9QWfkYGARIRBjadkZ78kmtIai699YB0b6KuQM0ac86mAKiI+pIvlrjuFyhKHIXdy+FpKNXHL76J7zzoGG6O664pRx6WjHDaJ/ZUO/JKMzxfgxiWjEAW4clYC/s1/OhP8OXOGdK1/Dr+9i3uf3s7Jqk6mjkrot3+TXsWCKelsPVQf9vkVC/NQODvDgj9n49u3hkunxALBzoKn3z2KLMPPbpjEBVPS8XgDfLClnGsWjSAh2hC2bVyknjsuK+C9TWX8cPU4NOpwVZ4JI+JITzDz+Z4ayut7KKvr5sOtFazbVoEoCHx1oI6GdgcBQUAQwOOX2LivluLqLqqbelk0NWPAYwaYPjoR3yBGOEMM8W3iHxqxiqLIJZdcwo9+9COuvvrqb/qYhuhDoRA5eqqVzl43S2dl8eHW8AfxlFEJaNQKavu0cxAEslOsnKjoYNHUjDB3rrOZVZDM7mNNeHwBKht6iLZqWTIri4Y2O4eKWwlIMhfPyOSpNUcAaOty8eaGEkZnxzBxRDy7ippYs6mU+66byEfbKrl4RiZGvYqWTiepkSJd7v4aCafRudoYkx1Dr8PLrIJk8jOj+OmzO8MczsbmxPL8IKX2Lo+f9h4XcZH60MAeoKK+h3Vby1k9PxeL6KRbb0Zy9gYvi1L1tdfZhQaXQsesAhVXLxqO1xegsd2B4tQudGn5X7ut7PPgqjiMoFDhKDuAZfISkALIfi/m8YtwFO9BcoW3U6lj0xC1BvxdzajjMhD1ZmKX3YG/u5WAvRNVVDKiWkvL2t8RsHcj6s0EegcvaZW9wZYsUWtAOufaq+Iy8EekolK1U9nYw7ptFcgybD9Sz6r5ubzxeXG//d1w8Ui2HqrnjssKeHtjCaeqg/pFESYNq+bnUlTeTmqcCfVQBnWIIWjudBJh/s+xgIc+G/hvsXit2y/z5oaSAZd9sqOKhVPS0f6VIJBGIXDNouH85aNgW8bmA3X8+JoJHCtr6yd2mpcegd3pxaxX84ubpvCXdcfJSbXidPt4bf2ZifHJ6k5++uxObl0+mkizloumZ9LR6+auJ7bi9gYw6VX86OoJpBm9dL99f+gdBhA4uA5t1T5+tPyH/Pjlk7hlNRePsWJ7/R4Sr/k17sayfucguYNJisFbT2LwNJTiba0heuGNDLRW5HlXozBYMY45L6hb1xdk0uVMRIhMRpczCV9rFcqIRPQTLqZLjOTIjvow5x+AaKsWh/tMQGh4eiR2l5ePt1eG6SqV1XWxZGYmClEIiWhDsPL0kjnDkPr+rwWFyHtfFIdcgM7mgy0V3LxsFL96YW+/KpL5E1MxaBT/sB20UikiC8KQOPRZeP1SSO9qIMrre4gf+fcbR6hF+M4lo/nZ8/31CudPTEWrVlDd2DvI1gya5DqNSa9i0dR0ZoxNwut2oqgu6rdOwN6NMnPsoPtQGKwhba3TWCZeiLP6GGcHddo+/SPWqcuIG3MfAWcvSAEUeguCWjtocg9AEEVEjR5P5gz2fVHEwimZ/PS5XcybkMrvb5+F2t6Er3dgkWbZ58Yo2VAqRN7YUMzNS0dRODyOrw7U4XD5GDUsmmmjE1CIAtPGJFJe1020Vce8Cak0dzjwDhL8gaB4dcRZsneyDJv21zI8PYKK+h6WzR5Gj93L428fDrWJtXY5ibHqkGWob7Wxq6iJbruHuy4vRJZlnG4fVpOW0tou/vDWoX63qEop8v5XZewqauLdr8rITDJz39UTEEWB768ci1IUcXv9jM2O5nhFO8fP6k443YqrV//j9/4QQ/wv8Q8FgBQKBYmJiXi9g0fXh/jnEQQISBLvby5n0bQMfn7DJIpruvD5JQpyYuh1ennszTO2iy9/coLrFudz/3M7OVHZwZKZmazbVhm2z/QEMwW5sTz04l6mjEogPsrAhj3VNHc4yUiysHzOMDburWHXsUZuXDoSURA4XtHO5oP11LX0cvmCXBBgd1ETnb1uNu2v5Yt9tWjUCqxGDXNyckEQBxU2FnRmpo2OJC5ST0K0gQdf3IvzHC0atVIxqD4NQFevG4tRExYAAhiREcVLn55gbmESIyYtoWdzsHXL21KNJikXT0P/CYEqMZs9FQ5i4w08t/YYSoXATUtGkTtMRZsUAFlC1Oj7veABFKZIAo5uRI2e2KW3Yz+xg4YX7oaAH6UllsgF15Nw+QP0HNiAq3w/gkKNcdQsDHmT8fe2E7fiXnwdjbSte5LoBTcgag2oopNoeuNXRJ9/PYIiGLiSvW5E3eBZMBCQPA7iV/0U29GvcJTuQ1RpEIefhy2hkOZWiewUKyerOjHp1eSmRjCrIIXOXjc/XD2OT3dU0dLpIC3BzKXn5XCsoo33vyrHYlRzwZR0bl42ipYOJ26vn/W7qymp6WLWuGQiDV8fWBtiiG8DLZ1OrMb/nPYvOK0B9O2doNpdvn5BmtNIMnT2uEmM0H3tPmRJZkp+PEkxRt76opSmdjs7jtTz6G3T+XBrBYdKWtFrlcwuTCEtzsTj7xzG4w2w6UAdj942DaVC5LbfbgaC7cu5aZEEAhInKjt4c0Mx91xZSFF5B2s3l5MQZeD8yWkkRBmQ/D7cRzeGBX9O4+tswmyrJD3BjNcXIKAxoBtWAMgoDRH42sKDLrZjmzEXLqBr69v99iUo1ahj0+ja8iaizoQc8BOz+Hv0HvocX1cz6ugUzOMX4WmpomPjC0TOvQbb0a9QRSVhmnAhZWRw+xNHmTFqClMnLSY5IZLdFT3sO1nJ/pP9225Wzs1h/a5qAERRYPmcYTz7/rF+Lj8RJi0KUeDpu+dwvKKdTpuH/Mwo4qw6lMihKbXPL3F0EHeixnYHp6o7eOwHM3hzQwkltV1YTRoumTOM/PRIhH9gAiiIAg5vgC92VVPZ0EtWkoX5k1LRq8RvvYi0UhRRKcUBnQeVCpGsZAseSQYElKKAIEt/0xw8EJBJiNDx2A9m8NbGEoprwn9HGaGfwUVCtIG0eBMOlx+fPzj2OS0sfjYjMiKxOX3UtdjZebSR8yckoTRG9lvP116HKjoZQaUZULPRMvlivG11iDojSlMUpsIFiBo9/u5z2illie6d72MaNx/j8Gm0rvsDAUcP5vEXoB9WgLPsQL99A+iyCrAlT+XhdyuZPjaJo+VteH0Sn+2qxuMLcP00C+1fcw1lWULs08h6bu0x4iL13HvVeBwuH5WNPdz3x52olSJP3zMHr0/C5fZjd3lJjjOilKMH37FCSeAcP62mdgdzJ6Qyq0CBx+dnyqgEdhc18dSaIyHHv16Hl+sWjwgJTp+s6sTjLeGHq8ex53gT1U021m0bOPBUkBvL0+8eCf1d02SjvcfNgeIWPttZjcvjx2rUsHRWFpcvyKPH4aGkpotoq46CnBi0f0WIf4ghvk38wzXrV155JW+88QYrVqzAarV+g4c0xGn8fokxw2IA+GxnFZ/vriYz0YIoCmzcW8NPr52IQhRCmZGiig7iDtbyq1um8sbnp8hLj+T+6yZyqKQVh9vH6KxolEoFj715iOEZUUwYEcc9T24LqeUfK2/ns51VPHDjZA6XtPLk24cJSDLjh8dx//UTkSSZt74o5sqFI5g3IRW9RhXa1uMNoNcq8SsNaLLG4ynf1+98RJ2JNsnEk32VRT+6ajwNrf3Fhm1OL1EW7aAZpeHpkURatLR3uxBFyEuLZFZBEtEWPX98/xiHi1t58Z6paFrr8ZzYQs/ej4hdejudm9/E23JGrFIZm45/2s28/moxNy6xhlzW9p1oZJo5gD5nAj37PyNq/rW0ffpceFBLVBJ9wS1IHhexl9xD56ZXw/bt72mldc2jxCy5HV1aPuaC+Qiigo4vX6Z753v9zqn30EYEjR7z6NlIji46Nr5AzEW3YT+5C8fJncgBPwqjNVRSfDa6zDEoLTH4BDXHI89DM3UWHq/El0VdHPssWB792+/P4M7LC2jtdHKsvJ3H3z7EpPx4Lj0vh/QEM2W1XbR0OvnD24dClqE9di9vf1GKXqvikx2VtPbZdaqVIka9Cp8cDFL+NWHVIYb4X6aly8nwtHNbAP69KMRvtw286q+0qH5di/TZCLJMRpyRe68owC/J7D7exCOv7GfJzEwumTOMI2Vt7DrWxNsbzyQXHC4fb20sZcV5w1ApRK5fmo9Oo+RIWRsqpcgdlxVQ1diD2aDmk52VLJqWQU6KlQ+3VlDd1Ms9lwwjaoD352mUVXv42RW3ovd1I9hqUc65nICzF+PoObiqwytnPfUlmEbNxjTufGyHv+B0RYKoMxJ9wa107wq2a5vGzqNrR/C9FHPRD/DbO/HUldDxxYuIGj3RF34HZUQ82uRcXFXHkBHZUWrH6fazYX8TG/Y3cfPSkSRGG7l2cT65aRF8tK2SXoeX9AQzq+fncryinfL6bkZkRHL1ohG891XZgBbPcyekoFaKKGSZiXmxwURYQEKWw4WEBUHAqFfTZRvYSKG100W0WcN3lo3CF5AQBQG1SsTh9uN0+9FplWiV4t8UDBIVAjWtDn71wt5QVVJRRTsf76jk5zdMIi3WgPQtbinTqETmFCb30w2MNGv54aqxbD5Yz5aD9fgCEhOGx3LlwuGYNIq/zYlJkrHqlNy69KzfURGswFIoRRZPy+CdL0uJsmi5e2kmFnc9ysa9SElRRFhT+NFlo3notSNUN50JqGYlW1g5L4ffvnYAh9tPUUU7Ww7V89xNi3Cd2tHvELp3vEfcyvtoXfsYkquv4h4B48iZKPRmlJYYTGPm4OtopGvrW/g6GrBOXUb0wpvp2fcxvs4mFKZIrFOWoU0dgd/ejeQJjqdsx7YQt/xu3A2l/YK+lkkXE9BY+M07JcwuTCbaquOZswIgmw/Wc9WseBQG64AaRYJChVtpwetvCH3W0umkuqmXFz46zt1XFJKZaOaHqwt476tyNu6tCd1jESYNz3x3DIJa21dlHo4mbzqfHg//zvREM+9uKsXu9HLdRflMGZlAcqyRjXtr6LF7iYvUc/mCPE5VdYQF5a5YmMez7x+jpLaLJ++cTUlNJ9PGJBIfZSAQCDq3NbTZaOpwhJLDybFGrrsoH6fbj1GrItqipa7VTrfdw8ufnmTl3BxaOh0IAiyZnokcCAwFf4YY4iz+4QCQJEmo1Wrmz5/PggULSEpKQqsNt8EVBIFrr732nz3GbzUGrZIFk9LYsLcGSZIp77M616gUWE0afn7DZF759GTo86Z2JxaDmu9cMppAIDhZXzQ1nbe/KOG9r8rISLJw4bQMxubE8NCLe/tZJfr8Ek+8c5hV83JCTlt7TzRTVNHOfddMpKK+l5rmXv7fqwf42fWTEIQzz9SrFw3n/R31nD/2UlQ9LfjbakL7FbVG9Bf/iFMtZwbmje0OEmOMYS9mgC/31bJkZhYvfnyi3/WIjdARadGhUgr8+jtTqW22UdvciySDy+MjJ9VKaW03D715kjtXrEQ3+gL83S34lXo0C36AwuXAb+8CvZWyNpm/vFaM3eVDpRRD5cnpMVocxz7BOnkJrR89gbPsEPEr78NRvBtfZzOqmBTMhQvoPfIlropDRJ13dVjw52y6tr6FZfLFdG9fg6g3464ZuF/dWbqPxOseJeAIiuUFHN00v/v/MOROJmbxbQgaA7FL76Tl/d+eNQABVXQylomLaXj5PqJX3o/BbKa8vofy+l6GpUaSnRqsttpxtIFN++uYOyGV+RNTWTIjE5VCQOr78U5beQ6ERq0IifRlp1i5dvEI3t1UxsGSVow6FRdNz6AwLy5kzTvEEN8WPN4A3XYvEf9pFUAKcUBhzW8Leo2StHgTNc22fssizVoiLVokfwBRFFEI8tfqwUiSjAhoFQLTRiUSbdYSH21k/Z4aPts58HN/z/EmLj8/l++vGstnO6s4WdUZWrZhz/9n76wD5CjvN/6ZWfdzv5xLcsnF3Y0oERKSYMG9UGhpKV6gUKCUwq/QAi3ulgSIQIy4u9vl3G331m3m98cmmyx3Fyq0peWefyCzI+/s7cy883yf7/OUM35gN5RKkYwkM2nxRp7/8Jx5rsMdQFB18ntSKEOKg4qdtO5dieRxosvpQ9SIeQiiAvPAabTtXHbeBgIBewuGwiEYi0YgeRyhFyEpiHXzZ/jqS9Hl9EOXUYRCb0JpiafmnQdRx6ZiLB5D/PTbEfVmCAYJOtuoW/QsctCPrvcEhvTsSWFGNC8vOoAkw/ItZTxwzSA+Wn2cljYvN88O+QPanT5OVVkZ0CORyUMzUatFquod5KVHsftYfcQ72cUjs0mK0aMSQ5Z6F2oZ0igFZozM5qVP93f4+ZShmQT8wZDNnwCSKPDa0iNs2lcdnvcM6J7AzbN6hZRFF7hcvEGZ5z7YE9GSBiGj4z98sJenfzKCH7MeVg5KXDouj4o6B8fKz/3Wb7mkmJc+3R8uHgFsP1zP/pNNPPfTUWi/o0UrvH8ZkCVUAsC56zUYCDJhUDfKam1cNTIevnoGf1sTZ/VAdTsXY5h0K1dflIfWqKe1zUtyrAGQabZ5uHN+X3YcqWf9nkrSE0xUufWkTLiW1jVvRRT8FMn5CMZY4qbcHFL3tDWhNEbjOr2Pxi9fAmTipt5Kyzfvhudn1i2Lz8wVJ6MwxSIoVXjry2nb8zXmfpNJufYpat9/DMlppenrv5Jw8R14ak7iKT+EqDdj6jkab10JbWvf5KeXXMtrK0oi7iMQsjJzSHr0E27E/vmzfNtHSD38Cj7e3l4lZzGq8fiC7D7WwPUzerLtUC1fbyuPWKfV7uXpT09x37wHafj4NxEkkDI5D2fhNL5549wcXa0UGdgjiUf/shVJhqNlrWzcV43FoOKh6wYjy6BSiazaXs7KM+qf5FgD8yfms3FfTdhqoM3l4+ZLivnDB3uoOHP/1qgUzB2fF1KPCXDDjJ4olSLvrjhKa5uX/G5R3DGvDz5/kJc+O0Btk5MvN53mwesGEW/RhW4mXehCFyLwDxNATz/9dPj/P/20vaIBugig7wOiLHPpuFz6FyaweH0JNoeX4rx4Zo/OZu2uKtbuqmTy0EwuHZ8HhAz3XvhoLzNG5vDK4gO4vQEG90xm5shsEATW7qpgz7EGCrpFt2u9OovGVjdmQ+QE1OUJsGFvFRcNzsCgDU119p9sZHBRMtsOhUwmTXo19S0uHnynmtun30iGwYvcWolgjKVNFcdfVjYw9IyhNcDqnRXMHZvLHz+JnMAdr2hlUFEi111cxMrt5eSlRwHg8QaYOTqHlz/bz/yJBdz74qYIk78ok4ZHrh+Cy+tn7/FGKpr9JMTEoE6OozEo8+x7u0NRulolDk9TuPqk1yoRBQFfQEIhCjQ5AgiWOJq+/gsJM+7EVbKX5rXvosvuTdTwS1CYY6l5835knxt1UjbempMgKjAUDMZQMBhEBUF7C217V+JvqkKhtyAjIwgXqEoLIv6GCqSAF4U5jmBbEwQDOI9swnkkVJHSpBeSdNlDBFrr8FsbUUXFI3ldNHz+ArLXhWP751RYpnGwpJUpQzORZVi66TQWo4bumbGs2VnJ5xtKGNIzCbNGATL4JThV0Ur3rGiOlbW2mwQrFSKxFi0tbR4MWiVXTenO469tD7dXWO1e/rzoIH3ya7l9Tm8UXRWWLvyIUN/6w0sAgzMtYD9ijxKVAPdc0Z8HXt4S8YxISzBy/zWDWL+3ik37a9CoFEwfkUV+WtR3JoNJkowS6JEdyydrT13QX0QAtGoFdU3Odi9tEPLKGNc/jekjsnh1yUF0GiVjB6RTnBNHdqoZhW4i/m9eb7dd7Ngrse1YGuEZ4jiwDmV0EnIwgLF4DIaCwXhrT4GoQNetB56aU9R98BgAyQufRKHV4644jKH7UGLGX4XCFIvkbEMVl4a3+gSCIOKpPIqn8iixF11P28rXEZQqosdcjhwMvVoHUop5dckBCrrFMG9CPh+uOkFLm4eyujYG9khi74lGVmwpw2xUM3VoBpnJZlLiDKhFkCTISjKRnmhkaK9kDpY0EQzK5KVHoVErMOvVYZ+fCyEQkOibF8fAHontWs7mTcgnxqRBPvs3FUXeXnGUDXurI9bbdbQBr28/P53XG/ECKVWh1LKOLQ+sDi8Ot49o3Y+ZAgKFLHPP5X1pdfgorbaRmmCgrsUdQf6chccXZNH6Eq6cmP83/a0veFxJ4o7ZhbhWv4q77dvNUDLOlS8TM+e3/Pqdwzxxy3DW7a7ii42n8fiCKBUCEwZ248V7xtJk81Bab0edMoCU6/vgrT2Jz+PDkNGdWgcEv3kX74kdpN30B+oXP4fs+ZZ6XZb4ttO1v7GS5lVvAGAoGgHBIO6KwygM0RgKBpFy5aME3XZ8taXIAR+q2FT02X2xH/gGX2MFosaAt+YEtlZbxH1EpRRZMLGAjGQTJ6vbyIjPIuWap7FvW4yvvgxldCKqfjNZcdTPpkOR5s7ZqRbqmlxIkkxDiwt/QGJZJ0T2/pIWDttzKFz4O7BWE7C3oE7MwiWa+O27h8Mq09R4I1dP68FHq46HydVN+6u57uIinG4/pbVtxFt0mEU1o/um0q8gEV8giM3hY/G6U2Gi3mJUY9AqeeiVrRH3ba8/yHtfHeOGGT25dnoRpbVtrN5xTm2240g9u4418Isr+3PnvD489/4eGq1udGrld5K7XejCjxX/MAG0Zk3HiUNd+P4hyjL5qWbuuawvQVlGrRDxBiWWbi7F6fbzze5KJg7qRmyU7kwbU+jlXBQFJBlOV9twuP08/c4u/AEJpULA4+vcYwc4N3E6DwdONTF1eBZlNTaSYvWs2FrGL68agD8QqiT4/BK5aVHsPtbA05+cQKdREmvR43C1YXU0MrB7IpXntXzVNjlptnm4ZnoP3v/qWFhxFGPW0i3RhFYTIhzW7Q49wMYOSKem0cmEQd14ZfGBdgkPVruXP3y4h0lDMkhLMLLrWD2rd1YSa9Fy9dTuPH5NMR5bK3gdyGoDB6q8vLeuihtm9sTrD/Lw9YNxewMYdSpMpjgaDq6l7qMn0WX3wVg0PJQmplBS8/q9YSNMhSUeXe4AjEWj8TVXIao0SF4XqthU4qfeiuPYNpBlvJXHME29tdOkLkOPYThP7cJXX0bcxGtDpM75iS4KJZb+U2ha/mfUSbmIKjXWLZ9FJFYErXUozD4OlTRzqKSZob2SGVSUxOtfHqZbkok75vXhlcUHiT1jWFvRGDLezEgxc1VCDxxuH0FJZtnmUg6VNCMIcOf8PihFgVmjcxjSM5lF35zs0Ftj34kmmmwekiyarodtF340OPty84MjgBQ/bgJIkmTMWgW/+8kITlWHUmQyk0wUZsbywMubI9qLj5S2MLBHIjfN7Pk3Edg+v8Q3uyv5+eX9Wba5lD558QzvnYJGreBUpZXVOysZ2D0BWQ7FYH8bUSYNWSlmDp5uok9uAlq1kp9f3pulm0vZd6IBQYDuOf1RHd+Mv+Zca5mo0aNKycWgVGPqNQZfYzn2/WsJOm1ILju+xgr0WX1CqZGJWSBLBGyNOI9sBkBpjsffVIFsiQeFEnf5ETQpubR+8w6uk3tAltCkFRI37VasWxYhKNUIKg3+lhoAArZGlNHJCKJIA3E0WZtostbw0HWDUSlF8tKjOV7eysAeiVjtHnpkxTCqbxqna6wUZ8chBYIEzzw6/EF47+tj7DnewPThWcSYtWzaV826vdUMLkriyosKQkzRd0CUZW6e2ZNLx+Wx43AdarWCIUVJ6DXKCELP4w+yaV91h/s4WNKE2xfEoOq8QCN9Jzn4nUP9UUCUZWINKhK6J4AosGhd5ybCe441cOnY3DOqnn8O6oCb5pM7O/5QllA1l3DDjJ6s2FrGlxvPkR0qpYIhPZN55t3dnK4+F1Uea9Hym1uGIctwoM5OTrwSU++xUDyGoKuNlMsfpnXjxxG+PZ6q4xiLRn5LgXcO+tz+tO3/hoSL78C6dQnWjR8BArrcvkQNm0PTV38haG8ibtKN2PeuBCB67JUkzfsVcai4e1Yub6ypxO70ce/CgSzddDpsMF+QEc2VU7rjz5sHWR4CgpIkUyxpaTby0h3hdquCbtFcNqmA5854h+Z1i0KS6ZTcBDhS1kqUOYUXlzrwB5RY7ad48LpB3DK7N/6ghD8g0WR188bSw9SeZ+YeDMpU1tt5ZfE5Y+24KC2/vGogClHg+Q/2Rhi4KxUiv7xqIJX1jk7T277ceJpfXDWgw+4ASZJ576tjXDIml9ljcnl1yUHUKkUHe+lCF7oA/wQBlJqa+n2OowvfAUmSEQj9waSghM8v4XT7uXxSAVFGDUs3lVLd6CA1wcicsbnEWrREm7XYXX6mDc/inRVH8QckhvVKZnS/NJJi9Z2a9pkNanyB9i/5IaUMfLHxNHfO68sLH+3ld+/sYsaoHK6c3B1BCFVHz5ryub0Bqs4QPqIoMGVYJs++txsIpS/ERelodXi5eEQ2qfFGgkEZhULA4fITkGQ+Wn2CQyXnXPy3HqqlZ04sN87qRV1ze1NmgIo6O4kxep54YwcPXTeYdXuqcHkCFMSB96sX8FWdS2Tpk1bIqDvuoMat5pXFByN6km+cmsvYeQ8gBLyAjCAq8bfUISCEiBlBJG7qLQSdVgKtdcimGOx7VkZ4MGiSc4ibdhuOY9uRvC78rXUYCofiPLY1YswKUwyWQdOxbl6Ev6kK6/YvSJz7C9zlR/A3V6OKS0Wf04/WDR/hqyvFMmAaLevfbxdXqkrMpqLpnBni1oO1jO6bhk6jpKLOTlWDnSdvHY5aBK8UeuBWNzp4/cvDYVJHr1Vyw8xejBuQTmayGYNWhVohkJtiweULsutoe3PPs9h8oIb5Y3O7Ija78KNBfasLjUqBTvPDiYCHUAy8PyB1SOT/WBAMyqgEKOoWRXFWDDLw6bpTHXrL7TxSz8yR2aTG6L/zOxOF0PO4or6NJ28dzvbDdbyz4ihOd4BeubH88sr+xEXpkCQ5QmWr0yi5YWZPlAqRw6eb8fsldFolP7+iH799cyetdi9/+sVYlm8po6RaSY/e15A/zIbr0HpQqYkeOhvn8e207fmaoLMNbVoBcVNvwb7/G5zHthJ/8R34GitoWft2uF1DUOuIHXcVSlMs+rz+tG76lJhxVyF7XMROWEjte7+O8B3xVh2jYdHvSVn4Gzw1p3Ae20rC7J+BICBqDMRd/BMafDqee+tIeJuTla10SzQyfUQWf/x4H+mJJo6WtrDraANfbDzNr28cilIUOPtKp1CINNo84VasD1ediPh+1+2uZO643O9MaQv/PWSZeJOamSOykGUIBNp7fbg8gXbt7ufD5vBhiNZ2+rlZrw57BH4bIXPbH7f659sIBiWUogLjBVRRZ+eT3wvkYKfBIwCC30V2ThTPf7gvYvnkoZl8sfF0BPkD0LcggaOlLby65CAD8mMoGCjS+PWfwimrglJNzPiFRI++jKDHiSAqABmFzoTr+A4C30rl0ucPRHK1ET10JvWf/g7Zf/YeJOM+tQdv1QkSZt1FwN6Cbdfy8Ha2LYtQTbmZxiV/ID8hgyevvB2bYGHz/hr2nTFAT4kzMH9CPu8uP0qTzR2+v4miwM8v78fFI7LISDbj8QY4dLqFZ9/djcPtx6RXkZsWFUrmitbR2IFSCyCvWzSb91dTel7a2tLNpQwvTqGuyclby492uN2QnklsPlATsazJ6uH37+3moesG8dxdo9i0v4bSGhsp8UZG9kmlsr6N4+VWIBRYc/HI7PBvyOnxs/VgLaXV1g6PB1DV4ECvVWE2qumZHYtOLXLBC78LXfgR43ubtTocDp544gluuOEGcnJyvq/ddqEDKJUiLoePsf3TCATkCP+Wijo7//fxPq6Z1oNfLRzApgM1dDvjhXDt9B7YXX6e+2APffMTQg+NDmLAr5xcyPLNZe2WTxmayYa91cyfUIBJp+SRGwfj80vUNoaM1pZuOk3/wgTuuaI/H68+Ee7pTUswsnBqd1ZsKUOrVvKLS3JJVLZBSyWmJAMqhZNFh2pZvbMyvP6UoZkR5M9ZHCppDsmL441UN0ZKcFVKEb1WSTAQknzuPFJP77x4emfokTe+hrcq8kHlrTqGa+tHKIpm0zfLRDAo0dzmweML4vX68LbUYd/4QZhoUSdmosvqRcLce1Eao2jbtQLnyV0kzX8Q29ZF7Q04a0toXPoSsROvxVt+EHV8GtpuPTD0GI5972oknwtdZi80qfk0fPYs+rz+xE64hubVb1L34RNo07ujtMQjagzYtn2Op/wQmvTuyFKAoP1bbQWCiKrPFPIqRVbvqUWpEBndLw2LUc29CwfQ5vBx+HQTKgUEEPjzov1MGZrZzvvH5Qnwx4/38uydo1j0zSlOVlrJSjYzdXgmybFGlAoxrNT6NrTqrmpLF35cqG9xE2P6YUXAQ6gFDGjnWfJjhCTJSFIQvwzr9nSsAgFYvbOS66d3x99JethZaJQhw1uLQcOby45wvPxcePre440cPNXEg9cNxqRTMaBHAiu3VSAK8PMr+vHB18cpOe9l87NvTnHN9B4M7JHEyu3lBGWZ4rw43lx6hNzxqbRtX4LSFIchdwDNq9+MaP3yVBzGU3mUhFl347c2hEIGvno1Yqyyz03TV38h5dqnQBCIn3576IPkbNyn93WYNCYHfFh3LEWf3QddRk+alr8cTsFUJ2SgGnMzZoMqXKXXqBRcNqmQtTsraXP6MBvUuM98h7IMby07ws8u6xvOC/JLMnanr9P3MkkOtVxpjeoL/h0ixixzwcKDTnvhqa7pOwgcjULkplk9eeGjfe0+u2lWLzSiiNQlA4pAMBBk6rBM1u/t+Jq7eEQWmu8pQEJSaFHFpuJv7vhYluxelDk87QqeRdkxLFl/KmKZQatkUI8knnxzB0qFwOXDY2n79MEIgkkO+Gj++q8kzPoZnrrTaOJSaFz6Z5QxSSTM+Tme8sM4j29HVGkx9BiGKiYZT/VJnEe2nEf+nDd+jwNP9QlAwFt1TvUneV0ghpRpvoZyVKueJ3Hm/eEELbNBzSNXdgdbDXcWNyEY43Dqs3l1ZRUnq9p46dP93HFpH372/AbuWtCXvScacLj99MiKYd74fP76xSG0aiUzR+bw1y/a+1NGmTRkJpt58Uxwy1ls2leD0+XnuhlFrNlVGS70nkVCtI689Oh25C6ETKhrmpx8vPoEN83uhSzLHD7dQlWDg6wUM8mxBvoXJjB2QDpvLT1CozVETGUkmbh6Wo+IxLeOYNAp8XiD3H5pb0RZvkBjZxe68OPG90YAeTwelixZwowZM7oIoO8RSqWIIAohv5YzExyPX2LNjgomD83kwZe3dLjdByuPkxJvRK9RYdKH2PBAUObTtSeBkEllUqyee67sz1dby6hrdpKRZGb+hHxKa9rC5M1ZDOieQF56FPHRery+AO98fQyb3UfPnFjG9E/D5fEzYVA3vt5Wzui+aUwclM7c8XkoBIEokwaDTsmgnklcPy6R4Irf4beGlCQthBJJrpv3MCqlyFfbyhnYI4lN+2u+fUphrNxezqCiRBavCz104qN03DQpnVSDH1xWLDEu7pyZw56ykJdRv25avDsjH26CUk3c5JuQ/B6C215jvBRk2tixBBOLqXQoyfKX0Pr5axHb+OrLqP3gMeKn307Q1Ybj0AbUSdkIgozr5O4Ox+qrO42o0hB70XU4jm7Dvm8VcZNuRJ2SCwEfnoojWDd/BoBtew3RI+ehyyzGXXYAT+VRqDxK4pxf4jy2jegxl6NJziXotqMwxRK0hwgyhSkG1Zgb+evaei69qAitWsE9V/Zn474aHnplC4GgjNmgZvboXGRg7e5KkmINrN5Z0eGYZRm+2FDCiN6pjO2fTpPVjcMdoNXu4c75fXj2vT0dbje8OKVL/dOFHxXqWl1E/cDav+AcARQISijFCydidSGECwl/VCoFCKF3wEAgyLzx+RyvaI0gf84iEJRZ9M0prru4J6P6pLFxbw09c2LZd6Ixgvw5izeXHuHh6wezbncFKqUCpSIUqZ2m9+GtPIZPpcHYY1gE+XNu0BLWzZ+SMPtntK57v7Mzw7b9SyxDZ1Hz5r0gScRMvAZXyd5O1gdPxRGihs6i+ov/i1juayhH/PJJ7r74IX7+2mEEAXrnxfP8h3upqLfTLclEo9VNSpyemy5KJ07lQnbbMQeakdRG3EE1SlFA+x2Kue/6/O+FTiUyqEciOzqIp89Li0KvVvJtA93zIUkSxdmx/Pa24Xy0+gRVDXbSE0zMn1hAvFnTRf50AFmGWLOWWaNzWLI+shWsT34c/QsTCQQk1GoFMiAF5QuafkNI1aJUimGl19lr1ifqiLroBho/eIxv/x21uQPYeNJNfJKx3f4Cgfb+MCP6pLLmzNxoYPcE1CUb8HeiLmrbuxJNUhbeulIM3YfiPLqFmjd+RfzsuzEUDCHQ1oh182cEXW0kX/FrGvev7fTc3Kf3o03Nj1woiGfURSH4W2ow+9qQZBmdRsnjVxQQXP4M/qZzraYatY57pt/LMyugpLoNmZA10Yuf7Oe5u0bRavdy4FQTL3y0l/xu0Yzok0K3RDPXTi/iw1XHwyq3nFQLt1/au1OCbu+JRh748xYeuHYQe483sH5vNbIsM6RnMuMHpvPIq9s6Pdc2p4/aZhe/fXMnk4dmcvHIbEAmxqzF5vCSnpgdTtyb1D+Jaf1jUTrqwVtGbLcMhvSIY9uRb/s9QY+sGIw6NXEWBTqF8LelzHWhCz9SfK9P2R+z3Pz7higKeIIyWw7WcaikmfQEI6P7pWFQixCU2Xm0nlH90jqN+vX6gwQlib9+fog/3D2aaSOyeGXRwYh1lqwvIdqkYUz/dBZO6U6sRcs3u6vwBaTQTf1EI8GgRO+8eJptblRKBUdKm/lkzcnwPo5XtPLVtnJ+e9twgpLERYMz8AUk4qL0KBQCRp0aj9fPvS9u4tdX90LY9BoBa+QkTHI7aFn0FNOmPUj/7omYDWoOnGqfXHAWPr8UNoaOi9Ly2IJspJXPhUmlJqB7Sj4jp/8Em7UNg1GLNTETX31ZeB9xk2+gbd9qvFXnFFCeyqMo49LJmP5zHF980OGxJVcbAWs9gjJUnZS87pA30AUmjwGnlYbPnkWTmk/CxXcgyxK2DqLgAWy7VhA74ZqwmsjUexyq2BQsA6bQtms5reveR52YScKsu0JyZCmIrDXx8b4AGw/WMnGol6umFvLZ2lMRJF6b08dby4+gUSsor20jM8XC4dPtFVZnUdPkxGr38PJ5/dsxZi0PXTeY4txYDpyK3PaSMTmYdKqumM0u/KjQ0OKmZ3bMf3oY7XDWoDgQlPmORPQfDTRKkdF9U/lyU8eGpxMGphPwRz5PBVHA7ZdYvbeC09Vt5HeLYmjPZMxasUPy5ywOnGrC4wvwzvIj/O6OETjcAR5/rfMXov0nG1kwqZAvNpRQ3ehk/IB0VN4a/IAupy/euo7HDCFSRvY4w149HcHfUoMgKjD1GoN9/xp8NSUo9OZO11foTUheF0pLPAFb5LNYcjvQWUtITzQxsk8KX24qpaLeTlaKmWumF/HJ6uM8NCsF/4pn8J+Jpq4DdHkDiJpwA05JS5RRQ3aqpV3rDYRePPVqxff7LJFkbpzZE68vyP5T514c89KiuOeKfiiF7zaKFWSZJIuWO+YWI8lgMqjxe/34/V3kT2cQZZmLh2Uyum8qm/bX4PUFGVacTEKUDkGWafMGWb2xlOY2D4OLEumRGXvGKDzyjyEI4JcFSiptbNxfjVGnYuKgDKKNakRZxhuUaRISiZn/KO4tH+KrPo7CYME4YDoVhh785b2jzBqtoE9ePPtONkbsV62MVDXHWrThudO4XrEEj7X38ToLf2sd+rwBtK57n/gZd+I8ugWFIQrX8R3oCwbTsvbt8LqyLCPqTaGqZwdQ6E1Ivsg2LEPBIFzfIn4DbU2kxhsZmGdBs/cjvE2R45N9bnzLn+X6iQ9w/1ttBIISClHE6w9S3eigW6KZwUVJ9CtIQKkQWLG1jN+/t4dpw7P47W3DsTq8+AMSVQ0OahodKBQCw4uT+Xp7+4Jhm9NHQ6uL0hobFw3OQBBg/4lGahqdOFyd+wrFmLW4PX6ccqhYfRaDipK4fFI+yzaVEZRkrpmYwWDVcXyfPRsm4eqVam656Gai9El8tasuvK1Jr2Le+HxKqq0MKkwIJQB2oQtd6BQ/LOOCLgAh8scdkCmtsRFn0TF+YDpltW08/Jet3HZJMbmpZgb3TOqwH/18KBWhmf+GvdWM6pOK1eFtt06r3cvidacw6lQU58bx+YYS7C4/GpWCwswYRBFe+nQ/bm+AgtuiI8ifs3C6/bzx5WEun1RAXbOL1788hN0VkmkatEquvbiI4b1TMODBU3mk3fYAQXsLao+Np94qJ79bFP0LEympaj85hJAaSaUQmTchn4J4EWnVH9qRSr6aE7SufRN1TCrNhzcSe9F1tO1dhafsIMroJKSAP4L8OYtAUyUGlYTtApNpX0M5+vxBofVbaxG1RhDETnvQFYZoFMZoPOWHqK8+QfKVjyIo1ZEmz2cgue0oLfEYegzD1GcCktdF1V9+TuLcewicSbjw1ZcRtLfQuPxlZJ8bQa1l8ORHWLwxFNmeGG1op+A6iw9WHuPm2cUcONVIWoKRyvr2MckAGUlmDpVGkjwtbR4e/es2nv7JCA6fbmbzgRpMBjVThmQSa9Z8Z4pOF7rwvwSPL0Cb64cXAQ8gnlH9BAISdBlhAiHvvOnDs9h8oJaWtsg2jP6FCSTFRvr/iKJAVYubX/9lW9hQe9uhWj5afYJn7xyJQaci2qRBr1XR2OqKeInUqBX4/EFum9uHA6eayEqx4LrA89rpCaV1PrhiCwnROgb06IXaK2Cad1/I5NnbsecdAIKILMuo4zPwN1Z2uIo6Lo223Ssw9RmPLEsYi4YDQtgg+tsw9RpL266vMHQfhm3b5+0+V7Wc5r6FVxCQZCrq7EwfkcWR0maee383983NwbfsCSR3ZFuI++QulJZE1IPmohcU/OTS3vzu3d0RxrHJcQbuuaI/IUeVC0NxJgzjbOiFXqNErSAcEd5ufVnmzkt74/IFaXP6MOlV6DVKFH9HSpAsywhyiEw06NS0ei7cjtKFEHFm0SqZNSILCCl3JGD70XpeXXJOmb31YC3xUToev3koGqWI/4x6UUTGL8Nv3thBxXnzlZXbK7hkTA5ThmaybEsZS9aXEGXSMHPwHPJ76wlIEIiL5+HnNwCwfEspv7xqAFaHl7LaUOvjpv01TBqayZcbT4f3W9/iJi3BSFW9nexELWJzNzzl7dujIHRdBWyNobmcQkn8xT8JhX7UlhC0N5M0/wHadn+F69RukCTMfSbSeF6L1/kwFo2k6eu/hv+tScnDWDyWhkW/j1jPr41mwkA1RfES3sUdK88lj4No2YbFqMaoU4XNlp1uPy98tIejZSHyWqkQmT0mh4VTu/P28qMs21zK3Zf149O1J6mst9O/MIFRfVO4eFQOO482tLtv9itIwObwsf1wPdsPn5uDmwxqpo7IYkkHJuB9C+Kpb3F12AJaXtuGQaPidLWNWIuWwclefEs/jlhHDviwLX+RhVc/jazS0NjiJi89isLMGF778jDjBqT/4Fqyu9CFHyK+NwJIpVIxcOBALBbL97XLHy38ckhe+eGq4+E++7z0KO5bOBC3N4DDE2TmyBxOVlmJMWvb3ZQB4qN12M4QPpX1dnyBYKcmhgAxZg2BoMTIPqn4AxI7j9az/7xKSWaymUMXUIwcKW1GqRD548d7I27sTk+AFz/ZzzM/GUG82krDBc5b9LvQqESOlLYwZ2weCdG6dhGiCdE6ctOj+M3rO+hbkMCMHjE0t9Z1uD/3qb2YL52IbceXNHzxfyRd+ivqyg+jz+6D69j2DrexDJsLwQAKU0x7n50zUEYlIqp1CAoViAr89mbiptyE88gW3GUHOX/qqknvjqfyKHGTb6Lxyz8SdFqx7VyOsWgE9g7kwIJKi6jRo4xJpWHRc5gHTsHUdwK27Usx9R6HdcviUORvwIt8plok+zzoRT9JMXp0GiXV3+rHPh92l58Ys5beefEkxxoYVpzM+j3VEebOoigwvHcKT765o932VoeX+hYXA/Lj6J8fjyCEev271H9d+LHhh5oABucrgLrUCedDoxD47W3D2Xyghs37a9CoFUwfnkV+evsYeG9Q5nfv7mr3HXp9QT5ceZwrJncnxqylzekjPdFEXbOT9746htcfZM7YXLQaBb96aRNub4A5Y3PpmR3HwZL2bQsAAwoTCJwx7b7lkmJeXbyfX0yKpmHxc8h+L0kLHui0yKDPH4irdD+WITNwHt3Sbh11UjbmQdOw711D0ONEFZNC3Qe/wTJ0FpYhM9sRPIbCIQgKJb66EtQJ3TocrzIuHWcwyMkKGzmpZty+AA6XH0EQMPsb8bs7fgY59q0iqf9UfLKBGIOaX98whEarm/oWF6nxBmLMWtRCewXItyEIAhVNTv748b7wdZgcZ+Cn8/qQGKVF7mR7QZYxqEQMUWcMn7s8Qv5tOL893BOUIsifs0iOM9Dq8LJmZyVHS1uIMWuYOy6PQFCOIH/OYtmWMob2Sgm3mFntXt5aXR7+/PGbo8L/7/IE+P17u7licneijBoaWl1kppiJj9JhMahZvO4UTk+AbQdruO+aQVQ1OPCUHiCxzzja9qwEqf3c2dx3Io3L/4yg1qGOTsZ+aB2y142n+gS+3V+dCQu5GUFnQmGwoDBGYewzAce+1ZH7GTAVhSWO2IuuRw76UZpi8TdW0LDkDxGFQnVCJscbweEJEKVX0nahtkW3jdmjcyKSCC0mDScqrOF/B4ISn6w5yU8u7c3EQd1YtaOCj1efYNrwLF5dcpD9J5tYOLUHn645yWM3DWXz/hp2HKlDo1YwdVgWSqXAs++2J6G2HazlhZ+PQa0Q+WLjaTy+IEqFwOh+aVw2sQCPN0CUURNRlDbpVdx39UDUCpGkWAOT+sUj7P+wk7OTse/+itSYCUhBmf2nGvlodchvKCXOwBebSpk0JAOxqzWzC13oFN8bAWSxWHjnnXe+r939aKFQCJyusfPqksh2rZOVVp54Ywe3ze3Nq0sOctWUQjKTzdw5vw+/fXNnRJyiVq3gplm9eGtZSG1TkBHNlgM1XDS4G59vOM23kRpvICctikOnm6lqdKBRKbhmWg/anD7eXHoYSYakWD353aL51cKBONw+dh+rR5YFfP4gh0qaGNwzmeVbyjo1dvx8Qwm3TU5DUGk7NMED0MUl4fKGiIiXPt3PvQsHsONwHev2VCEIMLRnCv0LE/i/M4Z0JypasTVd6AYvIwfPPLSDAdxlB9Fl9ARBQD5vkixq9JgHTsNQOAQ54MNbV4Zl0Axa1rzZbo+CUo06IQPrlkUkzrsP2e/FcXgjQXsrmtR8LENm0PLNe/jqS9Fl9cYy+GLqF/0edWwK5oFTaV33Pp7yg0SNnA8dEECm3mNp3boEU/eh2DwOrBs/IfHSX9FwYB3m/pPRpOQSPeoyGpe+eP6oSIzR8+ylsXj9rWTGaxCEjhX0Z3vo//TpfpyeAAatksnDMhnaK5kXP9mHxajhjkv7sHxLaafthQ2tbrKTjPi+wyy1C134X8bZF88fsgeQv4sAioAkyaiA8f1SGdU7JZSsKXasGrG7/R3GI/fIimF471Tufn493vPugUXZsfz8iv68u+Ioo/qkcv+ft4QLLqt2VHDXgr4cLWsm8K1jZSabMehUGPVq+hUksOdYA3OHxNOy+LfI/tALkn3fWmLGX03L6jcitlVa4okeOR9BpQYZEufcQ+Pyl5FcbSgMUcRNvYVAWxMta99FVGkQAEGhBEHEtnUJpn6TSJr/QMiAVhDQphXgrT5B09d/xVg8Bl9j+7YPQalGk9WXymoHcVFa3N4gFqOaAd0TKMiIRmxuXzg4CzngQw76QQwpslRAWoyObnH6kFpNljudQygUAr5gSIXj9gV55C/bIoii2iYnD76ylRd+NhqdoksB8EOFQiGy72j7ol1ijJ7pI7J56OWtYdK1utHBwZJmZozMZvLQTL7aWhaxTa+cONbu6lj1BuBw+zEb1OFCqt3l5+VFB9CoFGSkmCjMiKbZ5iErxcLDNwxBrVTg9QfQaZRcP6MIsWEnQZeDhBl30LzmrXBRUNQaiR69AOfJXUgeF8lXPIqvqRJ/UxWS142hcAjRI+bS9NVfaFr5BmnX/w5kmYC1nqihMzEVj8FdegBBVKJJysR1ej+1bz2AIiqRxNk/w99ai7euFNl/7v6jTe+BZcpt/OXFfdgcPsYU9EHUGdsp7c4iJj2b7j4LiTEGjDoVbo+f42WtHQYDfLLmJHdf1pepw7P4fH0JiTF6fnZ5P1RKkZpGBwundudoWQuxURqunNIdvVZJQpSW+lY3Rp06gsgRRYGbLynm5UUHsRjV/PyK/sSYteg0SvQqASkoYdQoeOYnIyiva6Osto30RBNZyWY0CgFZkrhkbC5RCjeeg51bQdBWT2vQwaod5wiuntmxNLa6+WTtSXyBILNGZiN3PQO70IUO8Q8TQIWFhd8ps9NoNCQmJjJ48GBuuOEGunXruJr0z6CkpITf/OY37N27F4PBwMyZM7nrrrtQqy+cIPHee++xYcMG9u/fT2trKy+88AKTJ0/+3sf398IXhLdXdByraHV4aba5mT0ml/v+tAWQuWRMLk//ZAQHTjVRUmUlNcFIbloUH6w8TlWDA4tRzfDiFHz+AAadGqvdG5HKEB+l44FrB/PYa9siotV3HqlneHEKV07pjtXuJSfNwiuLD1JZbyfapGHW6Bwyks3sOFTH1OEDiDZpeXnRgQ5GDVFGDUMKovAGRYyDZ2Hf1J7VV+UNwYUOWQaLUc3EQd2ob3FR3WDngWsGcay8lT3HG3jstW3hCaLb40cwxnb6XQoKVYSBnq+pEtOkW2izWjEk1qDQGTH1n4SoMdC68WOsmz9DEJXEXnQNupw+qBMeQg748TVWYNuxNPR9TbkZ65ZFKE2x+OrLInq8PRWHadv9FcmXP4zk8+Ip20/9omeRfR68tSXEjL+axHn3gSShjE4keuyVWDd/Flby6AsGo00rpOHzF9Bn9ULUm1HoTPhaajAUjUAVm4I+fxANX7wQkd6iy+6N+/AGbNu/AATM/SZx3/xRPPlh+xa3IUXJfLOrEueZeGKnJ8Bna08xdVgmL90zFn9QQq1ScKS0k0Z1QpWazYfq6F+YgNhlsteFHynqW11o1Qp0P8D0O8WZFrDO2mF+7AgGJM5aIwU74bE7Mz+9ZGwuz7y9q10a4uHTzWQlm3ng2kFUNjgilLltTh9fbDzN/dcMYvG6Eg6WNKHTKBk3IJ2x/dNwuv3oNUoGFSXx1dYypuRG4XOfUzw4j23F1HcCSZc9hOvUHiRXG7rsvqgT0pGDfoL2ZuSAH3fFYeIvvgOFRo+o1VP38VMR7dGuk7swdB9G9OjLaF33HvY9X2Pfuwp1YgaizozSHEfrho8QlGp0/aZj278mQnkk6kzEzrqHWreGPcfK2bS/hkBQol9BApddVEBZrY3s9EzaN5uHIOrNoFBH9HeFUtou/DuVBYGSWgdvLj9CbloUvkCww20CQYmvt5UxZ1TOdxoKd+E/A0GgQyX6tOFZvP/1sQ5Vi19uOs3D1w/h621lEYUtpULEc4HWyqUbT/PT+X154s0dEb8XWZb5ydw+vLP8KDvPUz8nROv45VUDeO6DvRi0Sh66pBeC34F1yyJixl2FOiETpCCS14ksSUhuB3Ez7sB+8Bsc5xX0POWHUFriib/4DpBlbFuX4Di8ETngR5fdm5ixV6JJLaB13Xu0bvwIpDNtjJm9CLQ1IWoMKEwxJF4aMm0XjTFUtIm8u6KKn1zah6+3lWGXDJgGzsW74c12563N6s2JJpnH39uMRq3guil5DMlP4sDpVrJSzBGR7hBK5lIqRBavO0VagomkWD3VjQ52H6tncFFyKOmr3k5WioUeWXoEZG5+ai0xFi23ze2N3enjQEkTMWYtxblxfLW1LNxBsGFvNVdP68H4vinhe6okySiBvBQzBWmW8D3g7N/IqFOxans5YxKyCLR1TAKpUgsI2JTh9ScO7kZBtxieez+kSFq+pYzJQzLRdHngdaELHeIfJoBuv/121qxZw6lTpxg5ciQZGRkAlJWVsWnTJvLz8xk8eDAVFRUsWrSIZcuW8d5771FYWPi9Dd5ms3H11VeTmZnJH//4R+rr63nqqafweDw8/PDDF9z2889DsufRo0ezZMmS721M/ywkQlHunaGsto2TFdbwQ/LjNSf5eM1Jpo/IYvrIbL7ceJr3vz6OIEC/gniunlaEXqNArRB54aO9jOqXxoxROVTU2dFrleg0SpZuOh1B/pzF5gM1TB6aQU2jkz98cC4xpNXu5Y2lRxjdN5Vos5bfvL6Dl34xlrQEIycrrRH7mDoomRk91bD3PZxbK4gZdxXK8ddg27oIydWGoNai7jmRhuTh6AIq7l04AJVSpLbJyXPvh9KmJgzO4I2lh9spUiQZjtQG6JnRE28HPdrG3uNwntfqJcRmUmlX8Mjrp/jjrcWo2upBkql95+EzqiSBuCk34Kk6QdPXr4UfypqUXJKveBRBoaB5/YcozfFYBk2n5q372x1T9rlpXvka+rwBWLcsjvzM76X+k6fDk2ltRi9Sr34Sb30ZCp0Rd8VhGr74P5AlZL+XhFl346srJeiyY+w+FEGpxn5gXQT5o4pLxzJoGvWLnjt7FJx7vqJgYhp98+PYe+Jcy0FOmoUJg9N5+q1d7cb91bZyRvdLY+/xBtISjCyYmM9rXxxut15mshmrw8ufFx3kosEZzB+Xi9DV/tWFHyEaWt1EG394EfDQpQD6PhBl0qBSihHPneRYA3VNrnbkz1ms2lnB8N4pES2xsRYtsgz7TjRS3eDg/msG0Wxz4/IE2HKwll++uAmFKPDCXaPpVxBPgi6IWdHM+c1iot5M0GGlcdmf0KZ3R52Ug6gzUv/Zs2GCR1BriRo2B0/ZQfxtzahM0e288QCcR7dgKByKqNGHvIVkCV9dKYgKzL3HoUnJI+ai6zlp1+JIGEPKnFEo3M0YTUZkfTSVbhW/f3dPRHv27mMNHDrdzDM/GUlJTS3JnURyW4bPxSsa4O8gJhVKkf2nW8LzgVF9UiPaWr6NY+VW/JJM13vfDxOBgESf/Hje/SqyQJUYow9783wbshyyMkiI1lPfcm6ueqKilVvnFPNNJ7+HKJMWo17Fw9cNZtuhWqobnaQmGJk4uBtfbjodQf4A6LUqqhoc/HR+X1RKkTKrjbw4M0FPSGVzlsg5O4fTpBUSP/VmWla+3v48bY04T+wAWca+f014ufv0PmoqjpBy9ZOh9K4z80yFMRpD4VDqPn6ShFl3o4pNQRmTwrbjVkyyiUf+GjKRP3i6mdvmFPPeqhP0z+rGwHE3EtjxKUFHK4JSjaH3eFoyxvHEm4fplRXNzeMTYP/ntOw4QobezC+HTqZKVcBTH58Iq4ESY/ScqLSy4Uxx+KNVx/nZ5f24aHAoafgsYbd+bzXvfX2Me67oT1qiidPVNp58cweP3TQUURBobHXx9Ns78XxLHa7TKDpUpHdG/jbZ3HyxtZoxCy+Gkl3t2loFlQZ191EMc+nokR2H1xdk/d4qlqwvCR/HH5BwewNodF1Wt13oQkf4h6+MhIQEWltbWbFiBenp6RGflZeXc9VVV5Gbm8u9995LWVkZ8+fP57nnnuPVV1/9pwd9Fh9++CFOp5MXX3yRqKgoAILBII8++ig333wziYmJF9xWFEWqqqp+UASQcCYKsSNfH4C0BGOHk5+lm0rZeaSeX141gOHFKQBkJJl4c9kRBKBXbjwHS5qZPSaXX/5xI2pVyKTylkuKLxi5DvDe1+2VJBB6GDxywxA+31BCVYOdkX1SWb+nKqzQ6ZEZzcwcF54lT4e3aVr6EtpuRcTNvgd7UEOTI8iyPa24qxpJT/Dy+YYSRFHgl1cOCG/zza4q5ozN5cNVJ9oPQmtEGHkDGu1HeE9sB1lCUKox9R6HJjmHxqV/Cq2nUBJVNASn28fjNw9FqN9LoLUeR2t9uCVNXzAQX0MF9m/1Z3trTlH/6TMkXvIzoofOwnl4E966kk5Nn701p4gaOhsEEX3+AIzdh4NShag3o07Kwlcb6lf3lB+kcdmfMPQYTuMXL0TsQ5OSR+17j6K0xKFNzcdxcD1+az2Jc+4Jm0Crk7IIWBto+PyFsIroLOzbFvGLy59gZ1k6NoeP/G7RmPQqfvHHjRHtgmchSTIut59th+pIiNEzY0QW9141gBc+2ovHFzxDKCZw8YhsnvtgD8OKk+mdF4fbL6FWimiVQqcV8y504X8R9a1uLMYLK03/U1B0eQD901ArBK6YVMCby84pco16FS32jp/NEPIH0mmUCILApMHdGNIrhdomJ4IQesmqb3GxaN0pNu4LvWgVZkTz5C3D0KiVyAQxuetJ3PknlOOuitivKiYFb91pVFGJGPIGoM3sRc1bD0S0U8s+D63r3iN++k9QJ+fQfJ6h7LfhOrUbbUZPXCfOtWtpM4pQRiUSP+MOmta8S3X8VCSVAVR6NBoT724qZ8rQeEqqre28+c6e++cbSrAYVCSMvwvtzvfwlO4DQFDriBo+F1XuENzfQf6IokBABl9AQhQFVDK8e54q2urwEh+to6oTr7ukWD1KhYAU6CpM/FARZVAzqEciO460Jyg7gygKSN9iEWItWuIsWvLTozjxreKjVq1g0pAMmm1urHYvWo2C2+cWs+1wHY2tbtbtrkIUQn5SQUlmWHEyQ4qSee/ro/z66t4IDhtxjir8opHkKx7Dtu1zHIfWRxzDW3WMhiXPEz1qfofXm+PQBuIuug77nq8jlssBH7btX2AZOgvn0S3oc/qiyyqmacUrIAWx71mJOiETf3wBz352khtmaBjZJ5XsVAvJsQbionSkxRt575sKNqeYmTvs50TrBJRqNcftIr9//QBRJg03j4nGu+hhOGOFILna4Ju/kpo7mJumTObPy0LpgjNGZrNq+znvpKAk8+In+7nniv7t1Fr+gMRLn+7nhhk9ee6DPSTHGlCIAkN7JVHX7GJE71DgzLsrjuJw+xEEKM4J+UWK4ndHs4uiSGubF5cnwPtbrVwx7R78G14neCYERRWXhmXybdR4tChEgaffbl/QhJDSTPsDVOd2oQs/FPzDBNBrr73GFVdc0Y78AcjIyOCKK67g1VdfZc6cOWRmZrJgwQLef//9f2qw38aGDRsYOnRomPwBmDJlCo888gibN2/mkksu6XTbsykpPzRoFCKXjs/jlcUH232mVIgU58Z3qMyAkIyzrjmk1tGoRG65pJhth+q4eloPlm0uJTFGT02jk6Akh2/qoih0KJUe1TeV0X3T0KqV4f7pjtDQ4sJsUKNQiKzaUcEd8/ryxtLDtDl9LBiRiG/dU+228VQcxvPBo8izn+T+t48RbdJw12X9eOad0I1ckmTOL6pvPlDDdRcXcd/VA/l49QlqmpykJ5qYPyEfrUbBi8tOkJs0llGzZpBkFlGKYNv11RnyR0ZhjCZ24nW0rHkbbY+J1IlJ6LZ9gmXQdKznGWAae4ygcdmfOjzPQGstQbed+kV/QKHRYh4wtdPv5CwSZt+Np/wwjcv/jOzzhJRDQ2YQyOyFbesSALw1J4kaMRcQOKuL1+UPxFN5jPjptxF0tOIq3Y+o1GAZMBVfYyXeujIkr5OAvYW2Xcs7PHbQ3kJzq4PXvzyOUafm/a+P8djNw3B5OpdLB2WZstpQT/aOw3XcMKMnv//pKCrrQ1Ggh08389wHe7h9bm/2Hm/g/z7eh9cXJDFGz8Kp3SlMj+pSA3XhR4OGVhfdM6L/08PoEGcVQF2k7D8BSWZkcQqp8SY+XHWcmiYnBp2KXjlxLPrmVIebJMbocXr8mPRqYiw6Hj+vZVkUBa6Z1oMYc8gzataobPK6RfOHD/fSaHXz0s09aPjsYeSAD3fpAYxFI0NqA0DyOtFl90WX2SvkOedxduqlZ9u1jNiJ1yFLnXu0yVIAQThvDiQqiB52CajU+Ftq8ZzcQc/eM7nn7aP8auFAHn51KwCzR+dy8FTHRtYAe483cPmkQu598zB/vONWkkUPcsCHoNbjVRhwXzi4FASBmlY3ry45RFltG4ozgQS3zenN8x/uxerwsnFfNTfN6sXe4x23hszo8v34wUOUZW6a2ZM+BQl8saGENqcPrz9IXnpUOxU5gChAn/x4jpa24HL70WmVjOmXTl56FI+/voO7L+vH4dNNrN5ZgdsToH/3RC4anMGbS49wqsrK+AHpDO6ZxN4TjQwpSsbtDfDTBX1RKUQCQQm9Voleq+JXL23iyWt7odj1Me7D6wBwAYlzf4njwDcdnouvoRylMRoUyjDREkYwEGqh7ACu0/tImHU3giDiqTqGbftSzs4B/dZ6jH0votqjZED3RMpqrUwaksEbXx6mpNqGQhQYVJTEr64eyP99tI/ffBgqjs4ancPRshaCkswlQ5ORtr3bfkyA/9R2hg+dTdKNQ7C5fDS2uNu1hbm9AZxuf4fhMW1OHxq1gqRYPTfP7sXv398TUbTOTDZzzxX9efqdXVw5pZDtR2o5XtbKRUMySE8worjAPFGSJFLiDQBsONhIZbOZy0feRaJBQhZESq0yeqeFr7ad5prpRSTHGqhtdrbbz8DuiWhUIp2ainWhCz9y/MMEUF1dHQpF5+yqQqGgtrY2/O+0tDR8vs6JhH8Ep0+fZs6cORHLzGYz8fHxnD7d3uz4vwHBoMTA7gmU1Wawcnt5WM5o0Cq5bW5vWtrcEaZ250OtFElPMPGLK/tj0qvYfjhktKdRKXB7Axh0Kty+yBv5oZImBvZIilAVXXZRAf6AxG/f2sm9CwdwIei0Snx+iYYWN5X1dlraPNw0qxcqpUh2lItmV8eSXqQgpqCNOy7tTZRJEzIldociVYtz49pNAow6FTVNDob0SibWoiUn1cLBkia+2HCaeRPyefGT/SzeDLNGZzO7BxjzB2DI648gikgeF9Ytn+GrL0NlbyFrxi+x2hqR/F5EjSFs7CeISmRf59VdX2MlCp2BgLUBdVxap+up4tJQxqZh27kUx95V4eWBtkaaV75GzPiFaNN74KkMmXRLXheCWoMgKjH1GY+xxwgCjlZa1rwVIaN3HtuKsWgk5oHTaPj8BSwDppw7qCCiiksFBPzN1aiiElDpdCTHGTh2JvKzpNJKt0RTh2ka6Ykm6r/VBvjW8iMU543iqbd3ApDfLZpfXjWAj1adiEizqW9x8bt3d/Ozy/rSOzu2y3uhC//z8PmDWB0+on6AEfAQMloF2hkOd+HvgyDL5KWY+OVVA7C7fBwsacLp9pOeaKKyg/voVVO6s/NIPdmpFj5YGRn3LEkyr395mHsXDuB0lZVuSWZ+dyZBZ0hRAhxfH078se1cRvy0W1BGJ9G252sUxhgEUaDuo6cwdB/WYXvVWfibqhF1Jgx5A3Ac2tDhOoaCIbSsCfnXadIKiBo6C+vWJRi6D0UOnJkjuG0EJRlRFHjwukH4AxIWgxqDTtXpsQ06FWkJRq6a0h1ZpcMpa5BVhN5rv4P8EUWBhjYvD768JfzOFpRkNuyt5kRFKzfM6smz7+7G5vBxosLKZRcV8MmaE+HfuEopcvPsXkQb1F2plP8FEGWZ4T0SGVAQjyyDRiWSnmDkvj9tbtdCdPnkQtRKkfkT85k5OgetWsHBU008884ugpLMQ69s4be3Dcdi1GDQqeiZFcsbyw5zqsqKSili0KlIijFgNmjw+ALYHF5eWXQAuys051QqROZNyOPWS4pJtB/Ffob8OQtZkkLm5Z0gYG9BoTMSdFgjlhsKhiB5OlaqiRoDvvpSWje098Q095+MKiaZuGPruDGxBX3eQE7ZW8Ltb0FJZuvBWk5VWblldi+efCs0R/P6ghjPXJ/5yRr8O052Oua2k3t571ASBRnRJEbrO1zH4wugUoq4OzD10mmUPHjtYB7967Z2HQtltW18uek0v71tOMu3lLHyjLpo2+E6+hUkcOslvS5IAhl1Kvrmx7P3RCOlNW088dG594h54/MpO1aOxxtg7a4KfnFlf555d1eEjUVhRjQ3zuyJ0EX+dKELneIfJoByc3P54IMPmDlzJnFxcRGfNTY28sEHH5CbmxteVllZ2W69fxZtbW2YzeZ2yy0WCzab7Xs91t8DpfKfVxctGJ/HzJHZ1DQ50WqUaNUKXl1yCFEMTTL/9Nn+dj218ycW8P7KY2w7VIfZoOaKyYWMH5jO8fIW+hYksH5PFVkpkd/Xpv01PHTdYPYcb6DN6SMlzkCsRcuLn+wHoLTGRkFGNMfLW9uNUa9VolKIuL0BFq07yQPXDOLx13fw7HuhSe0fr8+74DkKCiUV9XYq6h3hB5tGrWD2mFz+8MGe8HoZSSZ6ZseyakcFZXVt7D7WwO9/OoqqegfXTi8i2qzliVuGsXRzKRX1doL6U9Rv/7zDY/pbahCQUJhiQsaavUbT8s27ACgMFgSlOiJ283yoY9NCElpZwnVqN+b+k2nb/VXkSqKC6FHzafj8eWJGL8BTdpDAt2LqrVuXEDv+6jABpIpJJnHuvQTtzbgrjuBrrcNbeaTDSb7j8EZMfcYTdNlQmmMR9WaMPYajz+mHtzZUldYk5+ATtPz64+P8dEFf9p1oZNnmUj5Ze5KHrx/MY69tj3hgx5i13DanGKfHz70LB7B5fw2b9tfgD0jUtbjoWxDHxEGZ1DU58fqDnUYZv7nsKE/dPhzt3/H7P/uieva/3xe+j2vwvxX/qu/0vwX/jvOvbw3dr2It2nC71Q8JKlWoOCPxn70W/heuQ0EQKKtuJRCUeWf5UQw6FT+/vD9fbStnx5E6JCnUtn31tB44PH6CksyanZ0nE63fU80VU7qHn5MAOQkahIbzXtZkicalf0LbrYj4qTejis+g4bPfARCwN6PP7oOz46wIlNFJIElEDZuNq2RPu5QgbXp3lJZ4YifdgBzw4Wssp2nFqwQdrQSsDZgHTjuzohlBaAwVg97cSVCS6Z4Zw5VTuoe9Qr6NSUMyUCpEPl17kr3HG5g/IZ9Ys+Zv8uMJyPDmsiMdFuzrml043f5wG93nG0oY0TuF+68ZhCyHFG9JsXp0ahFBhpCi9l+H/7Z77Pd1Hf4rzvv8+UKcScPzd49mzc5KDpQ0ER+l4+IR2Rh0Sl5dcuhM+myILBzbL417Fw7g6bdDJJDV4WXH4TpunNULtSKkVttxuI57rhzAmp2V3PWHdQA8fP0QfvPG9ghyPBCUeP/r47zy0wG4P/+i3RgFUQRR2WEUPIAyKgHJHalCEbUGjMWj8Vvr0ecPxHViZ8Tn5gGTcR7d0m5fxl5jEJQqal77eXiZ58BqEuLSeezKO/nFa4fC3j2NrW5c3gDTh2exdHMpO4/WcdOsYkqqbFgMatznGbi3H7Qanz/IlxtPc+30Hu3UV6G2VQN217n5sFGnQqEQSI03oFEpqG1y0mh1o9Mo0agVtDm84et3z/EGrprSnViLNtz6pVUrsBg12Jw+kmJ0SJ0oVLVqBbfN7c0na07wze4q/AEJk17F9BHZ6DRKdhwOdTZs2lfNhr3V3H/NQOqaXVgdXmItWlLiDGgUAv/q+0AXuvDfjH+YALr33nu58cYbmThxIhMmTAibQJeXl7N69WoCgQBPPvkkAF6vl0WLFjFq1KjvZ9Q/YIiiQHS04XvbX3pSiLBxefz8/PJ+HC5txmLU8MxPRvLJ2hOU1bSRFGtg0pAMTlS0su1QiGxoc/pYvrmUny7oS4vNQ3Kcga0HazhdbWNwUVJYHeQPSLy65CD3XNGfXcfqSYrRs3RTafj4yzaXcvdl/ULya/u5MoBSIXL73N4sWR/ys4k2aaltdnHdjCL8fgmvz09Sgo7GmGT8LeeUYGchqHU0+HV8sfEoj944lG2HainOjWPGyGxOVLZiNqgxaFVcNbU7FqOa15cdodnqJq9bNI/cMAT9GZ+F5z/ci9cfRKtWMG14FhMGdUNZ2XHFBUIpJnXWAHGD52Bf/RcUA6ejyyrGXXoAZBlj8dh2/doACnMcokaHoNaB10Xb7q+IHnMFCZf8HNv2pQQdLWiScjD1HY9txzL89aU0r3wdy5AZNH/1l4h9Sa42FHoTCCLqhG4ICjVNy/9AwFqPqDdjGXQxLSs792+wH9qALrMnLes/IuWqx2nbs5K6j56IWEc/YDoTe/dn+6E6KurbuGFmTz5fX4LTE+C6GUUEAhK1TU7yu0WTHGegoq6NpZtKCUoyI/umMm9CPk+8sQNZkrlxZi9e+HAfdpeP8QM7T/JrafMQCMpExxk7XaczmM26v3ubzvB9X4P/rfg+v9P/Rvwrz/9kTUj9kZZkxmT44amAlGck+yq18j92LfwvXYdilY2yqlZ6ZMVy6HQzv317J+MHpPPYTUPRaUJhCgoBbnlmLZdPKuzUww8gKEloVAqarOfWaXIEEUxxQGTFXqE3IwUC+Jur8DWEqujequPETboR6+ZFHaoSLAMm42+qQEYkcc4vcB7fgevkLgSVBmPRSFRRCUhuO/UfP9lu24CjBVGlQZ2UhaC3cNf8vjjdfh68bjDNNjdeX5AYk4bZo3NYfObZfxa98+KJMmlosrpxuPzsOFLPzqP1PHTdYAZ0T/xOs/Qmq5tjZZ2nTx4vbyUj2RwuFm07VMfkoZkUZcei/A8RMf8N99h/xXX4rzzvKOCKyYVc4g2iVAicqGjl5cUHOVTSHF5HkmTW7KoEAR69aSifrz9FVoqFexcODCvUNDo1v7l1OB+uPM7uYw1AqI1s9/GGTpWRTpcXhb253XLXyd0Yewxv5wEEoQKewmAhetR8HIc3Ivk86LKKMRQOoXnVm/ibq0ma96sIAkib2Qt9Vm+UphhaHNawWbvCFItpwFRq3/hlu+MEmirRn1zN8J7FbDhwzjtp97EGZo7KJjfNgsWkJckg8fsFCagbjyDk9sN1smOPHDm5iIq6UBFy6eZS5o7NiyCAJg3JIBCUkGXoX5jAlGGZtDl9BAISPbJjWbW9nMLMGH551QCCkoTTX4VhRQABAABJREFUHSAxRs/R0hY+++YkQUmmttlJeW0bt80p5khpC8OKk1m3p4pXFh8kNy2Ki0dmkxirR60MFSz8AQmr3cO+o40cONXInHF5DChMJCjL+AMSa3dVsu9EI4kxelLjjWFSusXm4c2lR3B6/GhUCn53x0iio37412YXuvCfxD9MAA0ePJgPP/yQ//u//2PVqlV4PKHJjEajYejQodxxxx0UFRWFl23atOn7GfF5MJvN2O3tZdg2mw2LxfK9H+9vgSTJtLW1T9T6PqBTCgwqiAdCMZa3zy7GL8mU1tp46dMDEQTNzFE5pCUY+d07u6ltdlKYEc1jNw1l2aZShhenkJsexcpt5bTavViMatQqBalxBrpnxfLOinOmzzaHjz9/doBbLymm2eahvK6NbkkmslIsfLz6OHUtTmaNzmHqsEz2n2riZEUrhZkxjM1V0Lj498SMX0jDkueR/edpSAUR3UW30ygYuP+aQSiVIvdfMwin28c7K45SmBnN2P7ppCUYqWyw88w758ZzstKKRiVitXv5Zve5tjXPGS+az9ae4uK+2QgKVYeTY82gOehijCijexI39z6sGz/E3Gs0pj4TkaQAuvTuSG47zqNbOduPrYpNJXbidfgaKxEU5y6Z1nXvkbTgIXQZPRB1JvzN1dR/9vuwN0PAWo/SGNPBX1JA0OhJvvxhBK0Jye8l6GjF0H0Y5v6TkP0e5EDncmPZ78PYYyRidDKulibadi5rt45r11L6TO/B8lIBjzfIM+/s4uHrB6PXKNi0r5mth2qJMmoY2z+d5z/aE24TAzha1kK3RBMPXTcYSZY4UWHleEUrUSYNZkPnpreiKCAAra3t+7E7g0IhYjbraGtzh1vH/tnJ6r/yGvxvQEff6Y8J/47zL6lsRaUQIRjEbm9viPufRuBMGdZu9/xd1+P5+LFeh0HA7Q1id/vRqZUYtEoyEk386bMD3HtVf+7/02YUosCA7oms31PFhr3VeP1Bnrp9BLIMVQ0OclItHbaIAcwZk4vN6UMhCuFK/saDDcy6YhIc3xpeT9SbMfYcRf2nz5Aw+24EtTbcohx024mfeSfNX/+VoPOM2lmhJGrwxQSdNuRAAOeJ7ehyBmAoHIrSFIMc9OMpO4B68Ix2CZVnoUnKJuh1Yrn4Z9z75rGIc+iZE8u8CflUNthRKkWeuHUYu4814PUF6ZkTS7PNwwsf7uOBawYinvGgkmV48ZP9PH378DMV+c4RCMqYDGpsjo4VuIkxesZnxxIfpSU13ki/ggT0ahF727//+vt33WO/D+Lm+7wO/93PFntAwheQIsif8/HN7ipGFKfQMycOtULE5/Hh84R+P6IoIklymPyBkNq5rgO/mLM4VeukODkbb02kx5f94HoSZt2F5PfiOr4tvFydkEHM+IXUf/I0CoMF88DpKHQGHAc3UPfRk+GEr0BbC9GjLyNgb8ZQMBhBrcO6YyneyqNEDZ2JwhAFsowyMSfs+9URfEfXcdFFoyMIILNBzdLNpfQvTOTEqSqSxP049i1DUOtIvOQevLUlBB2RCn71sMtZtrclrNZpbHWTGBMyT4+P0nPxyGxS4gzsP9XEE7cMo7rRwTNv7wqnH4oCzBydQ2q8kfv/tBmH+9x8dUjPJO6+rB8vfrIPURDYcrCW4b1TKOgWzVNv7eLikdmM65+O1x+ktslJICARa1LhC8jUWz18va0MvVbFlGFZfL6hhGG9Uli1o4IdR+pQigKTh2QyoncKAUliTP80jpa2sONIPTfO6snOo/UML05BKcj/8HOvI/yvFDK60IXz8U/l4/Xo0YOXX34ZSZJobg7doGNjY/9tBsvZ2dntvH7sdjuNjY1kZ2f/W8bQEf6dxptKpciKLeUR5E+PrBjio3W89On+8LJj5a088PIWrp7anawUMxajmswkEyqVgoRoHUqFyCN/OcJvbxveLs69vsXFb9/aSXKsgfkT8zlR0Updk4txA7rh9QXZcrCGslo7yTEGtCoFFnWQ1pWv4W8ow7p5EYlz7sFdfhhfYwUqSwKGPhOpdOn407v7aLaFJrRKhcjMUdnMGp3DS58eoKbJwRO3DOf9r9onkBXnxvPYa9siluWlR+H0BFi9s4KG5mh+Mv0XeFb8ISIdK+qiG1FFJ9P21R9wNVagtCRgHnYJQkw6NqeHaFMMrStfQ5/Vh6T59yH5PAgqDQFrA43LXiJp3n0EHOdXKAUkn6vTyTTQoRGnLrcvgqDAXX0UdUI3VHHpJC/8DUGPE3fFMQK2BvR5A/G31KDP7QeCiKf8MO6yAwAYi0Zi1aZw5JSNoqr25E94dIe+4uLxt/P0B4fwByQ27qvm0vF5JMTouXNeH7QaJScqWyPIn7OoqLez62g9GclGdp5J6rDavViMGrRqRbsefYAhPZPR/INpYMGg9L1eN13mt9//d/rfhn/l+dc3u4gyqpEkOEsU/5Bw5v0bnz/4H/0N/Lf9/iRR5M1lR9h8oCbcYp2TZuEXV/Tn8on5+P0S9y4ciCTLvPvVMU5Xn2s19/mDiKLAlgM1PHDtIDbtr2mXwpaRZEKnVbJuTxWDeyax5UBIHevyBFh9zMvE0dfg3fhOyCOveCy2PV8Te9F1KPQWTMXjwqb/gZZaHCd3ETNuIaJGhxwMIqjUOA5twHlkC0kL7sffUkfMmAJEgwVVTDIASksCot6Er7Gig7MXiBp9GU51PPe9caBdytahkmZizBVMGpzBqh0VLFlfQkFGNCqFyLo9VTjdfhSigNmoYdyANJZtLgNCylCH249Ce+HppkYpMmNkdkQBKjwyAYb3SsaoUbBgXB6yLBMISAT8/9nf13/LPfb7HuO/67x9AemCISSSJOPxB3lj6RGabW5mjcwOm/4qVULYV/IsGlpc5GdEh+c038a+cjcjx1xFw/uPfOtAAZpXv0nSggeJGjKDQFtTaG7YUkvjF38k6LQSdLQi+9y0bFvSrn0/0NZIwGHF1HsssiQhuWw4Dq6DYICmFaFkZEGlRZj7FHpXx8QxgBwMotdrwq2QEFLnPPnmDob1SmZEvgHfp6E5oexz07TiFeKm3BQKD6k6DnoL/twxrD3uYemOcwXU5DgDCdE6nr97DPtONrLneANRpnRy08yoVQr+vOhAhOWEJMPidSWkJ5jQa5URBNC2Q3Ukxxm47uKicNqhXqviT5+FUsXW7alk8bpzBFtuWhT3XNGPtbsq+XjNSQQBHrlhCA+/uhWn2883u6oY2TeV2+b0BmTSE03YXX7+76N9EUrLFVvLuHFWT1Ji9fg6mJ92oQtdiMQ/RQCdhSiKxMfHfx+7+rswatQoXn755QgvoK+++gpRFBk+fPi/fTz/CYgIdEs0suf4uSrHpCGZvPFl+6Qwry/Iq0sO8fD1g3nijR3h6qNCFHj+7tFcNaWQ3ccamDsuj9++tbPd9q12D1FGDcu3lLX7bPrwbB58ZQt56VHcM7Nb2N/GW3OSug+fQNutB8qoRPzWelxVJ/jzRnWY/IFQD/Zn35yiW5IJpUIgIVpPbbOznR+AIIA/EGTeqHQG5hgQZJmq1gAKQxQnyhq5dGQ65U1eXvjGwcLJD2MKtiJ7HFgyCgjWnaTxo8fC+/I3VdL8xQtoB85CVzQGx9EtxI6/mrqPnsS248tQesOZ/mlTv0l4Ko6ScsVjtO1bha+uFKUlDlV0cqe94YJSHaEYgpBc2DJgGrUfPIYuqxiF3oQqOomGxb9HcjuIn3EnruM7SJj5E5zHt+M8uhU5GECfNwDL4Om07lqJTZvM/W8cZPrABCSXtd1xzyLotFJW0czCaT3YebgelSrkjzCqOBlfUEajFvlw1fFOt1+7u5Lb5/aO8A9YtO4kd87vy/Mf7AlXgwDSE4xcPbV7V+JCF34UqG91YfmBGkBD6D4p0BUD//dAVIh8uPoEm/bXRCwvqbLx5Js7eei6Qbh9AY5VtJCVYokgfwC2HqxlZO8U1u+tZvG6En5xZX/e/eqciiYz2cxP5/elpc3DN3uquG/hQKrqHWFT/s82V2Prm8i11/4BX2MF+rgENKkF+BpKcZ7YgaHHMLx1p/FWHcO2ewXRIy6lYcnzoWfUt55VrpO70Gf3xdtYgVpOo3XLIhRaA1Ej5qFQ6Ui+4tf4m2vC4QhKSzwxF11PUG1GliW8nbxAbTlQw7gB6Vw5uZAXP9nfTpkxa3QOm/ZVM7goOUwAAWFF0IUQCEiM7pvGwZIm9p045zMnCnDnvL7o1AokSUa6QLpZF/63oBTFsKlxRxCEkPk3wNLNZUwZmoXmzHQlGAgSbdIiCqDTqvB4AxwubebSCfks21SK13/ud6QQBbQaJSP6pLKr3kXf2b/Euvo1gmfawQw9hhM95nLkYABRY6R51e8JOiJ/+6r4dBQGS4fejZrkHAIle/G31qFJyKTmoyfRZ/XGWDQynB7m8fp4f3s9s3sUAd/yIRJEokbMQZtWiLPhKI+MV+OP6kG9R83mA7UEgjIGnRqhIjI9OGBroP6Tp1EnZaFOyCTQexZ3/3lvu+t71qgcXvhoLwsuKmD55lLio3XER+lYvqUUhUJs5zd6Fl9vK2dM/3Q+Xn0iYvnK7RU8euMQ/vTZAZQKEbfXz4jeqWw7VBu2qTiLU1VWnnxrJ1OHZQHQNz+BPccawuSd1x9k9Y4KVu8IkdYzR2ej1yg7bLP96+eH6Jsfj/ZvuN90oQs/dnwvBNB/CgsWLOCdd97h9ttv5+abb6a+vp5nnnmGBQsWkJiYGF7v6quvpqamhlWrziUyHTx4kOrqalpaQoqO/ftDapmYmBgGDRr07z2RfwKBQJDxA7vxxaZSpDMv3xqVAqujA9v+M6hudBBj1tJoDaljgpLMS5/u554r+lHd6EStUnDrnGLeXnYE55nY8FDcYzHvr2xPGPTOi+NUtRUItWi5PcntrNc8FUegIkQKKTL74fN3/NP7ePVJpgzN5MtNpztM8kiI1tMzPki3g8vwLtkPyBQPnoExexj5lZuQbfXIKdlIeaN4eWUNJbUONCoFj10RQP7mzQ6P6dn1BVE5RdStfxfj/PtJWvAAbbtW4K05hcIUjWXwDNSJWdS9/yj6gkGoopJQGqIIumzYdn+FZeAUbNu/bLdfy9BZKGOSiZ9xB76GCtTx3QCZhi9eQPa5cR3fji6rmKDbQcLMn+FvrkIQRBJm30Xj0j/jrToS3petuRrn0S3EXPoQ/7e8ijH90zhW08bQ1CKo6zjxTp3RC5PFglqjJD3RyP5TjbTYvcSaNGcmSUKn/oAQku97fUEG9Qi1OgAcK2tFFE7zy4UDqGt24XD56JkdS2K0HqVApxOFLnThfwmNVjfpCX+/19W/C4IgoFSK+LsIoL8Zbn/IY6IjVNTbsTl9xBpUTBzYjUXrStqts2pHOT+/vD9BWWbL/hoaWlxMG55FepIRk07NkdIWmtvcHD7dTPfMGH7//m6umV6EWiVSVtNGlElDcpyBWq+GgCGPbhoZpd5LoLWegK0RpCBxF11H0O3EXbYflGpSrnmS1g0f46s/jcIUi7nPeCSvm9ZNn5A495fUffQkyZc9QuzE6xEVSlq3fIbr+A6QJZSWBGLGX40iNoVgczXW9R/gayhHnZzD43MX8tKaZg6WWiPOMRCU8XiDHCpp5v5rBrFiSymltW0kRuuZNDSDhlY3G/ZU0bcwIbxNWoIRvVrJ36KUEyWJn8zpTasjlLhm1KnomROHVtH1cPkxQqcSUYgCmclmymrbJ8r2K0jg8OnQHF6SZFrtHpIsWiBEDhl0Kn5941AazhD2LW0enG4fD143mBc/2Yc/IDF/Yj4xZi2BgITFqOFkqwtvTj4JM+8k6LKjjEpE9rlpXfsOQWcb2syeJF/2IPbj23DsXYWgUGEqHoO+cCi1bz/UbozarGIUlngUWgNNX75E1Ig5JM5/APepXTR+9Sqy14Wg0WPsP5VBuWlUeiTSk3Px155TycRPuwXnyd1YN35ybseigpyLbmV7QEtGkolmm5voTi4RX10pvrpSYgbOJj5KF1b3ac+ErrS0eTheYeVPnx1g3vh8dFolkiyRmxbFzqMdq6Ug9BzsKAnT6faH3y8EIdQ6OKB7Ik91UFgGqKizE2PWolQI5KRZIgra38b+E00MKUrq8DNZhoOnmhnSPeFH2f7ehS78PfivJoAsFgtvvfUWjz/+OLfffjsGg4G5c+dy9913R6wnSRLBYCTj/d5777F48bnWnddffx2AQYMG8c477/zrB/89wqhRcP/VA3nugz24PIHvTKUx6tS4vZGKlWPlrfgDMhnxBoIyJMfo6J0Xh8PlR6kQMWqVIAoEpcibamFmNFdN6Y5SGZrE9i2IJzrOhCslH19NZFXgLISkAqoa2yuUAGqaHMRatDS0ushNi0L41rzvnllZtHz063Dcpi67D6qoBGrevI/wBLPyKMKBldw+4z4e+8JPdaMDs9JPq7sTc2hZIuiwIai11C95noTZP8PQfRi63P5ITiuu0/vxR2eRMP9Bmpe9hG5oEQ2LnwtvHjP2SmInXodt5zIC1npUMclEjbgUVXQSrpO78DdX42+swH7gGySXHWPxGAyFQ5ADfkS1DlGrp/6Tpwi0hh60mpR8okdeSv3i0xGx9AFbI9YDG/D40hndN43fvbsLafRIhEOrI1rdICQn9uWM5qFXdiAIAtdO70FGopnyOjuSLKMURcwGgTljcztN9RrZJ4XDpxsZ3a8bY/qlse4MCXSktIUjpTvokxfPTxf0QQhKSJLcNT/vwo8CkiTT1OahV3bsf3ooF4RCFAh2xcD/zfD4Ap2aw0LIpDjWoEaUZRJj2scmB4Iyv39/N7+5ZRiTBmcAApIsc/BUE0s3naZPbgyj8jNIFWUsfRM5VhfL62tOYXN4yUmLYlCOmUyzFr3Gi08WkauPUfvFHzn7XPNUHsW+fy0Js+4i0FKLoNQQNMcSO+l6/I2V+BrKsW5fijo2hcRLfkHL2ncgGCDobEUVm0rDomcjAhkCtgYaFv2O+Bl3Yt30Kf6WkPLJV1uC8PlvuG3O49z51zb85yk99VolQUmiyeZGrRIY3DOZQUVJWO1ePlx5nIZWN/Mn5LPn2JlnmUrBnfP7ohJB+hvfx0RZJtagYkK/VGQ51G7U9XD5cSIYlEhPNHLbnGL+9NmBCBKoR1YM04Zn8fQ750yOtepzrzQ+WeD37++OSLBNSzDywLWD2XmkjssvKiAr1cIz7+yKaHfsnhnDtJ46qt97FFPvsSgtCbSu/yD8uafyCG07l5E4915UhmgknxspGMB5fDvx027BunUJ3ppTiHoTpj4T0KYXUvvOIxiLhpM471chFZFag0JnQlAokQHZ68K+5VPSelrZYxpN92l3Ezy8Fsfer1DFpBB0tuE6vj3yy5GCOL56ibmXPkmLGI0sgyWxH03b2sfKA6gzitlwuIUpQzPJ6xZFi82LIMDqnRXsPFKPTqOkf2EihRnRSHJIaS+KIXuFfScaO9xnVoqZmqb28+qEaB3JsQZ+tXAgKqVIarwhlNB7AYV4q92DXqvC7Q1g0nfuNWk2qHH7Ok5jA3B7A3yH33wXutAF/ssJIICcnBzefPPNC67TEaHz1FNP8dRTT/2LRvXvhSzJ5CSb+MNPR9Fq96LTKOmbn8DeE+1ZdJ1G2a5nF0CpEBCF0MuNAEgBGTUQoz8jv5VlBEnmgasH0urwYbV7MepUnKqy8sbSIwwpSmLuuDzeX3mMD1ee4MkFVyEsebxdpLp50AwavOqwWunbSI03khxn4K4F/VCrRGaOygknjWUkmTDYSvCfIX8AzP0m0bDkD3y7uigH/QTW/YXLR93Kq19XoNZ2/kABEFRqCAaRgx7qP3oSfW4/DIVDUWf1gaJ4vtnfRGqCEd3Am4mOURE9+jJaN3wEskTLN++iTswibuotiEo13pqTWLcuxt9YiWXwxfibqsOmgnGTb8LXWE79p78Lt42pEzKIm3QTTSteIWBrwFtzAtvOZZj7T8a2dUnkeZ3azMgeN9Nsc3PdxUVUuQLkznkE3+Z38FWESDV1Wg+EoZfzh6WVZx64Mn/5/BC/uWUYr395ONy6oFEruGpKd35xRT/K6x0gw+7j9ZRU2UiONTC6bxqiAFqlwBWTChjRO4XVOyvw+oIM6ZVMtEnD02/v4meX9/vvv5F0oQt/I1rtXoJBmSjjhe8p/2koFWLEy3sXLgytWolSIXRKAsVH6c54z8j0LUhgYPdEctKj8PoCbDlQS32Li5Q4I+V1dv782QFumt2LT9ecpKXNw/WTsxhmKMf6zkvIfg+NQKIlnifn3cW+BgXFsX6EmoNo/d0RggIaQxTVy1+m3XMt4KN5zTtYBk3DU3YIbWYRQXsrjuM70Gf1Imb0AjyVR6lf9Cyyz42gUCGodQSsDR2mcQJYtyzG1HciLWveOnecoB/hyEpGFQ9gzZ5zLRuzR+cSH6Xj1kuK+esXh9h7PPLFMDFGz+h+aby8+ADzJ+Qzul8aepWA9A8Qkf8N3jpd+NdDCErEmbX86uqBuDyhgp5Bq6K0po3fvbs73M4UH6XDqFMhKsAnwSuLD0aQPxAyaK9ptJMUa6C1zdOO/IGQ56WnPpS4Z+w5itp3f91uTJLHSevGj9Fl98a6ZTFKYzTmgdNoWvkaMWMuRzn2SvzWehyHN2Lbspj46bfjrjhM/SdPh1s11ck5JMz4KY1LXwybNPsOr2X0tdO58+V95KRmMnXM/WQnGWhb3D6xLwQZTdUONrf2YvmWMq6e0I0hRePwHV4b+R2qtQiDFvDRu6dxuv08cO0gnnr7nBqnZ3YsCy4qYNO+ah56dQs6jYoJA7sRH6UjOc7IlxtPt/N9FAWYNjyL37+/p92o5k3I58VP93PqjJdobloUd13W94L31xizFpfHz5YDtSyc2r1T0mnK0ExW7+zIwyyE4ry4rntHF7rwN6Drve1/BLIkoxIgwaxBEODm2T155C/bwkZxAGqlyB3z+rBxbzU3zOxJnCUUk7j7WD0go1aKyBeQTcoyqESBPcfqOVllJcakpbnNg1opEhet492vjoYnhC983cidcx6HI6uRa48i6qMwDJpBdTAWjcGETqNsp0ICWDCxgJc+3U9FnZ17Fw5gTP808tKjWLm9nKxkM+rarzlLXQkqDZLP3Y5kOotAay05cUp+ceUAWr0+VHFp+Juq2q0navRwfmqYLIVicxUqzENmEaw8xJhoCW1cFgG7E9ee7Zj7TUCTmo+/oRwZ0GUU4ak6TvPXZ+PbBQSlGlkGfW4/vNXH0WX1JmBvpm13ZMy8r6GcxmUvETtuIQ2fPw+A+/Q+zAOmtCOAEBV0z4zlj1+exKRXk5ViJiibKJhwB0qPg4Aks+OUncXvRxqDAyxed4rCjOhzBJBKQXyUjoZWF7uP1iMIAiN7p3LrJcVYjGpEWaC62UmT1U1WqoX4aB39CxNotnkpqbLRMyeW3nnxfLnxNHNG5yB1SW678CPAWWn7D9kDCEChELo8gP4OaFUiEwZ146ut5e0+y0gyhRIQZTmUdijLpCWa2HqgBoNOxZyxuQQlmUAwyLoz6ZSnKq30zIklI8nMmFQrLYvejNhnwNaI9ZPHGbrwCWR/ACG7D976UmRJQh0MXvC5pjRGo88fiEJnpmXl6+hy+tL4+Qvt1rUMmYGn6hgEO6+Y+5sqUVraezhKNUcpLBjBGkKFoynDMtFrlTRa3by8+CDzxucxtGcyX28vJxiUGdE7hZF9UjGoRe6e1weFCAG/9A+RP13oQgQkCTWg1atQJ5t54OUtEWlxBq2S+64eiEopcKi0FZ1WGZH+dT4EQaCqoY2cVEuY/BEEUCsVIV8gAQRRRBWbgq++nM5aFz3lh4gZeyWahEwU5jiQg4gaAy3rPiB65KU0LX85NLbCIXjrTuM48E3E9r7aEpq+/gvRoy+jadmfQgtlCXtLCy1tXlraGtl5tJFHrygk2mnt9KsJWuuxOQoAeHtNBTlXTSYjbwCe3UsJuu0IqUXIheN49ssK2pw+5k/IZ+vBc2Tw4KIkrphcyInyVpLjDNxxaV9OVVl5/+tjFOfFMbpvKvdc2Z93VxwLK7Dio3XcNLMXcRYdWSnmsBeYSa9i/sQC6ltcYfIHQj4/3+yqZNyAbqzc3v7+mplsxuMNKTBb2jy02r2MH5jOmp2RLblj+6dhd/mYNCSTfSca2ymKhhUnY9apuhSDXejC34AuAuh/ELIMWoXA4zcNparBwbHyFpJiDfTIiqHJ5mZQzyQ+Xn2CqgYHSoXA0F7JXDm5OzaXH7vTR4xFi1YlInSg0gkGJYYVp9Dm8lNZbycpRs+w4hTMBnVENfBouZU7XrUxvGcfCnKG0qcgiU/3NNDmbGZEsYZ7rujPq0sOhgkqjUrBrNE5BIIS+d2icbj9xFp0fLGhhOHFyVw+qZA4ixZhzzlvAQThO3XlBq2CX72+G7VS5MkFtxJY8gSy97xIVFFJ3NRbAYm4qbfQvPJ15IAPU7+LUJrjqX3rPs4Z5QiYB0zG3G8i1W/+CoKB8MTZXbIXdVIWCoOFqOFzQn3jAT9KSxyCoKBt7yqMvUbTvOr1DscZtLcgB/2IejOSK/SQlYNBdNl9QBDxVp9A8jgw9J7AgcYAR0pbePDaQfzhgz04PQHuXTiA2iY/Ww/WRiS4nY/GVjcFGdHhf//k0j68vfxIRAXsVJWV7BQzv7hqAPe9tAmrwxt62M/qxTPv7IpQFKzcXs7MUTlIkowvKHfdTLrwo0Cj1Y0AWAw/fAXQhVqauhAJOSgxd2weXl+Q9Xuqwn72hRnR3L3gjMpRAKdf4t4XN0WoaI+UtjCqTypzxuWxcV/o5WrTvmqe/skIzEofjqUvd3xMvwdP2QGUlngal/+ZqMEz0KTkIksSifPuw99Si3XzZ0juyGQgQa1FaYhClmXcZQdQxaWSMPMubLuW42+qQhmTjKX/JPzWBgKt9WiSczo9b0GjP1f8OA8KQxT9i9J4MDGBYFCmtNpGUqyBVTvKOV1t40SllQGF8fzqqoHIsoROo8DvDYYTeAJdXs1d+J4hSTImjYJnfjKC0po2SqpsZCSbyEuLQqsSaXMHeO793fzyqoGd7qO0po1DJU2kxhuJMmq4dmI6eXECeJ3IWjMKjR6VwoEupy+yfOEfcdDeTP3i59AXDCZ62BziJt+A6+QuRI0+XHA0dB9O49IXO9w+0FqHqNIgqLXhdn9ZoWZc3yTGFEWhEAUCsogqOQ9fZce2CYHkXlSeCt0f+hcmEhUfx/1vl3HfZbehU4ms2tfA8reOExet5/a5vbEY1ShqQz1SffPjGTcgnV/838YIU+yBPRK567K+/P69PUwekslna09yx7w+BIISbm+AYFBCEAUOlDTRIzOGeePzEUUBo07FuyuOsqsD8m3J+hL+cPdoPN4AG/dXhzma7pnR3LWgHwoRFk7tzootZSz65iQ3zurF9BHZ7D5WjyzL5KVHc6S0hT8vOkCf/HgevG4wy7eUcqS0BYtBzewxufTNi0PsIn+60IW/CV3vbP+jkKTQC3l2kpG8VPMZjxYZAYHnzpNsBoIyG/fVcLq6jfkT8nnug9Bno/qmsnBKd8TzCBaFQqTW6uahV7ZGEgE7Knj8pqHtxhAIyqzfX8/6/XBvfByCIBAXpWPLoTqOljYzd1weUSYNwaCMQiGwdlcln649yb0LBzKoKIln39tFcW48zW1eLCYNby8/ypVDh8L2LwAZ2edB1Js6TeFSmGJwBZVhJcyTn9fyyGW/hap9+KuOoYxKQJfZE9uOZbhP70Ob0ZPYSTfQvPJ19Nl9qf/06W/tUaZt1wq0qQUoDdGhaE9bIyiUxIy/BmV0IrqMnjSveRv/eTG72sxeJC94iICjGakzHyLA31qH0hSDz2UnetQ8FHozyqhECAYwTb4RKeBDTC4kyRrkuZ+OoqbJETbpfnnRAR6+bgj1zc5OCaBuySbqmkPkV2FmNKU1tnbyZ4DTNW3sPtqAxajG6vAydVgW7399rMN2ki82lvDI9UOQf4BR2F3owr8CjTY3JoMapUL87pX/g1CIXQqgvxeiJHHVpEIuHZeH0+1Hq1GiUytQcMbjTBR47+tj7Vqo0xKMVDc58AUCTBiYzomKVvRaFSqlguYWB9rmmo4PCHhrS/DWnSZhxp3Ytn4e4TeiTswiYeZdNHz+fJgEUphiEBRK7PtWo8/tT/zMn9K86g2cx3dgGTgV3eSb8FvrcZfuw1t1gphxCwEZRAV0kKBl6jUG55HN7ZbrB83ELapJilFyqsqG2xfg+Q/3YHf5GV6cQt+8eGLMOlSijBQEv7eL8enCvx7BoIwKKEyzUJQRTfCMByEI7DxajySDUimEPNA6KGIuXneKZ+4YSavdw2+uzEOx7iV8DedUKcrMXjByHsbCYUieziPZzxK1SZfei7v0ALadS9Hn9EWf2x9ZVJNwyT207VgKoojs7zyUJWBrRKG3EPB5UMWlERVt4VLTN/hXbUIOBtEWjcIy5jLq33mIb6uRFMZoTNm9uFwvo1aJHD7dTGW9HZvDy7OfHOOh6wYRHeVk4bQeeHwBdh9vYNLgDIw6FdfPKCIjycxjr21rVyjYeaSejCQzxXlxHClt5qbZvfjdO7upaXJGrDe6byrpiSZe//IwQ3olUZwT3yH5A6GwmT3HG0hNMPLQdYMRBIFYixb92furBOP7pjKiOBkQiLFocTm9XNQ/DUEAj18mEJBCKkOtErNBzS2zexEISoiARil2tX51oQt/B7oIoP9CiKIQ8uoRQFQq8AWkcPvWt711zo9NlQSB1zuIh4dQMlhAkogxa2lp87BhbzWxZi0zR2SFW3u8QZnfv7+nHREgSTK+7yj3aVQKhhen8NGq4yTE6KlpcvLSp/vbrafTKIkxa3nq7R00WT1U1ju4eGQWQ3J0XDcqBoVCgenKx2lc/CyS04rj4Hqihs+OTEcAEERixlyOq/EkI3olsOlgA6dr2nhnUyNX9YwH4TjemlPYtoXIJAhJeo1FI4iecA2OY9s6PRfb7hUYe47AtmMZ+vxBmIrHYN3xJbETrqF59Zvt2sw8ZQdpWf8eUSMuRdTokc5XIJ0HZXQSQYeVmHFX4m+uofadB8Of2fevQZfTD5Nai2nnCgxD52BKTiE+Wkdjqxubw8cDL2/h1zcOZs2uynYPdFEUGD+gWziFoU9ePNsOdewJAbDlYA198hMor7OTEmegtKZ9AgeE1Ga1zU4yk0xIXSXfLvwI0NDq/sGrfyBE2P8YCSBRFJDlf8KUXpLQKgS0Zz2e5HP0tl+SI+6bg4qSmDwkg/I6O063H7cnSN+CeLJSzEwdlsUz7+5ixoB4esQk4W+MbGcQtUZMfSdgyB8ECiWt6z/EU3kkYh1ffSkt694latglIY8eQSRu8k00r3oTX30pjgPfoIpJJvGSe/BUHUcVm0Ldx0+CJJF02UME8wbT8PnzaJJziJ92K03LX4lQ+2gzizH0Gk3tm/dHHFfdZwpba7VoHK30zY2jR2YMiTF6emTHkhCtR6tWoFQIqKCrxasLfxP+mevy7Jz3fJw/twWQBMLFvh2H65kwKJ2vt7X3islJs+DxBkg1Sri++CO+b12XnrKD2DR6jD1G4K09hbF4bET7lqg3Y+43CUPhECSfB39jBe7yQ/jqy0LXY2wqCbPuQnLaUCVmorIkhOwAOmnpVJrjCLraUJhiiJ14HbKtBt+hNefGc3AtCjlIwoIHaV352hmzdgFNVm+CAy/j5389FGH1MG98PvHROlRKBS5PgLy0KOpaQm3L6QlG3N4AUSYtJypakWU6VYmu3F7OYzcNxReQcDj97UhvgPV7q7n3qgGM6pPC6H5p+AMSGpUiQk0U8d2nWggEJOKjdehUCgRZjri/BoMSSkIEnkatxOX0hkkdBZCbbKIwvQcg4PcHkIMSZ1xKu8ifLnTh70QXAfRfAkGAIAJtLj+1zU5izFpMejVffnOckqo28tKjmDQ0I9T/2smkPyDJlJzxf+kIJyusDOmVjNcXoM3pY+WOCiYNzkAthvqmnW4/ja3ujrettNIrN5aDp5rbfdY7Lx6lUsRkUHPodDM/H5rJ8i1lHe5nwqB0/IEgCyYWsGpHBb0zTczsHsD6yaMErGeSRdIKSJj/ID5rIwFbE/qcXmiSc7Ft/5KArRF1QgamPuNxHPgG16k9zJr+GJsOhqoSvbvpcG3/AF9t+xhfAMehjXiH3Yjm8MZOv6egvRVVQgaJl95LwN6CwhiNuc9FyF53hx5DAK4TuzD3n4qp70Rs2z5v97nCEIU2NZ+Eefchux2hBJdvwV2yB31uXySPg5aPHyf6ohu478oBbDzYwI7DdShEgZomJw9fP4SXPt0fnhTER+m4bW4xq7aXhx/MsgziBaISBEHgb4nthRBpJ1woT74LXfgfQoPVTdR/AQGkFDs33PxfhCQIuLwBKhscWAxq4qN0aJT/mAFxZxAQEAipq66dms/QXCMtVhsWpZ9VB+r4dO1JeubE8vPL+9Pm8lFRZ2fxdpmeE2bD1/8X3o/SHE/c1FuwbluCbesSEufdh7ukvZkqhCKc1WOuQJ8/CHPfCQhqPb760vDn/pZa7PvXorTEhUxmAYUxCkQVQVMiMVNvw779c1yn95N02UP42lpw2ayIibnoYuI5UGEnae4TCA2nEOQgckI+3xy18/HS0xR0i6ZnZgxKZBLNGpIsmnOd15JM112/C9+FdtdltA6N4ruvS4VCwBuEJpubVruXlDgDJp2q0xafYECiMCOaLzaGkq2ev3s0giCwekcFgaCMKMCgomRmjMxm17F6RnaT2pGyZ+E6sRPLwKnYtn1BzPiFxE29Bfv+tQhKNdGjFtC6/n2sm0JFR6UlnphxV+E6vQ/H/rX4m6ux7VgKkoTCFINXrcVYPBb7nq/bHUdpiUdhjiVu0vUgKmha8QqxE65ut57z0HqUMSk4x9yNSSWh1aqpaJXxetVcO72IAyVNfLOrErc3QGyUljanj9mjc3nty8Ncf3ERry45GOEJGWXU8Iur+rO3E7UOQJvTR12zi6fe3klRdiw/u7wfryw6SG1zpApo59F6rp7aHb8/iCTJTBqawRcbTrfbX0K0jvgoHQoR1AqR4D9A2EiSHG4x7UIXuvDPoYsA+i9BAIHfv7+HY+elGsRatNwxrw/7TzaxYmsZa3dVcv81A0lLMCJ0QAIJgoBeq8Tlad8ulZZgZMKgbuw90cDxchcxZi0/u6xfmAIIAM1tnnbbncXidSU8e+dI/vzZAQ6dPkcCFefGceucYpQi7DneyIKLCjhW1sLUYe1JoJQ4AwO7J/Hgy1uIMmm4dFweozP8NLz9AOeTEd6q4zR88CjqSx7FZczD01hJcOWfMRaNRJ/dB7+1noYlz4ej0fWcI60yEo1wqHNDTDkYoLTBRX5SAVR0rJbSpOahtCQge924TuykadmfETU6Yide1+l+kSUkjwNVbGqoonRwfdhbSBmdTNyk66hf8jz67N7osnqDQtmhcad931qMhUNobazAuvZtYi7vQWmNjfED08lLj2LtrkpKqmzMGZsbNqlVqxSoVSLTR2RxrLyVljYPe443MKRXcqeE4PDeKaw48/epanAwpn8q+ekxGHUqKurtrN5RgdURihHN7xbdFTfdhR8NGlvdpOcb/9PD+E4ofkQpYJIo8srig+w8Wh9eZtKrePi6wcSbNZ2mTv6tUChEfMGQAfSYfmlM7m0hpmIdzg/WoPZ7KYxL55Fpl/P5ERPLd9axekcF/QpDfnXVjQ52tWQyYMh8fDsXIQf9xExYSOOylwjaWwCQA+2r6+dDDgZQmGKo/+KPJC94EMvQ2di2Lg5/7jyymfgZd4b/bSwahae2hDW1Fg5XSSwccxMWkxKbX0GLMRGPSsKgVnLotIO6Zg9SahTvb9MSCErUNB0Lf1+BoIQsw9lSwZmCfRe68Deh0+vy+iHEmzpPg1UoBFpdAR796zZazyMuirJiuWtBHxQd/AhVokC3JDNZKWZKa9o4Ud7K8OJULhqcQX2LC6VC5MDJJt5ZfoQ+BQnIrs6LocjSmR+6TMuat1BGJWLsMQx9wWDqP/4tQee5bQO2Rhr+n73zDpOivv/4a2a23tbrvR8HB3fA0TsiIKACgorYezdRY4qmmGjUaBITE80vRmNv2DsioNJ7L3cccAWu99u9274z8/tjYWG5O9MTkX09Po8P02f2ZuY7n/J+v/87Ui//BYHWOnwNB3GVbSBx7h20fPB7khbeg3XEOah+Dz371nJ8LKtNyCRpwd20r3gBf3PNCZ2vfm4w1+4vqC0p5I8fVfPoHZM42tlFWoKeYFBhXHEKc8bnUFXfRXaqlavOLSLGoGXM4BQee2VbL0OQrh4ff353D99dNJx3vjrc5/6yUiw0d4SCPfur2qlv6eH2i4fx8AtbIpaTjwXXfvXyNro9fh64cTzOHj+rd9aFTyUr2cJdi0s50tRNW5cHc4yWIblxiP/iczlKlCj/PNEA0OmAKPLCJ/sjgj8A7Q4vT729iytmF/HEkp34AjIvflrGXYtLseo1qKe8SAwagfMm5vL2F4ciptvMOm6YV8wvnt1It/vEQPTzTUe485JSSgfEs3pHPYlxMVhitBHLHCcoK7R0uhk2IJGF0wrwB2TMMTrcngBaEbo9Qf7v3T3MHJPF2OIUfH6ZUUXJrNvdgMsTYPTgZGIMWh5/fTuyotLu8OLuduJY/T59VaIonm6U2r2oORNRBQnZ1YVjy8f9XL/Qn/nArFgMFhty3jho6e1EAKDmT+DTzU3knTsOYddn4SDSiW1J2MfNR/Z00/rxk8jH3BkUnwfRYOp7/8eOQTSYaHn/d1hKZ5J+w2+RXQ7UgI+gs422pc8QdLbiaK7G33KE2EkXR2hBhM/b5w45ThCyBDbKTq45bzCd3V7e+/IwC6YVcPBoF//37p7wOlnJFr5/xUj+/O5urjq3iFirAa0kYjPrWLerniNNkX3uAzLtFOfF88z7exFFgaQ4I0a9xIdrKul0ehmQFcttFw1jzc468tJt6CUh+lUQ5YzA7Q3i8gZPjxYwUUA+A1rAJI3IR2urIz4yAbrdAe5/dhNP3DUFbf/Fjn8TRRAoq+lkyYoKYvQa7r+8COfHj9PTeOLDKdBWS+Djx5h3/g/Zc8TMyq1HmTk2Kzz/r5/X0Dwhj4uu+DUGwYfc1RQO/gAIGi0I4kmGA5EIokT39mVYR87CuW0pusQsDNnFeI/sA0K27Ryr6NTYEjENnkDDSz9lznW/Zlp8E93LXqa1pxNdagH2URfx1g43X+xsITXexE0LSli9o47pozN57qPIpMfUERloNQJyMPp8j/KPIUoiH62t6vO+/PmzG/n9nb3vS41GxBdU8QdVPlhdiaMnMnCxv7qd1z6v4OrZg1BPMQAJaQEpXDmniM37mvhyey3XnDeYiiOdHGl0sreyjYnD0hk/LI1BWbHQd0fW8YNHNJjDphzBrmZch7YjGswRwZ+T6Vi9hPhZ19Pwwo9C96MY0ohzlW/EPnUxhtyh2MbOI+hsPXavh6rJvTV7w9sQtIb+D0lvxOsPST/IQYWaRifPf7QvLFafmmDi9ouG8bvXd6AoKudPzCXvJKezU6lr6UEQBRLtxrCz5clcOG0AS1ZUhP/d1eOjsc1FVoqFoyeNGaeNzODZD8uorHdw1+JS9h5qw2LS8bPrxgJgNelQVHjx0zLKazpISzBx/qQ8qhu6KUi3oEaTh1Gi/E+IBoBOA7wBmU17+9ZraevyotNK4b7b6gYnTpefWJOO4Cl9uHJQYdaYbMqrOyKqdOaMz+GtLw72Gdh56u1dPPX9aXyxrRarSccVs4v483t7ei132ayBLN98NGwvKZwUE/jtdyez53DIIWzFlqOs2lFH6cAkYs16bGYd8ybn8fhr26k95UWVn2zEv6/vVi0ATXMZ2ryJNPaIJFviIgbU4WVsSXQGtNx20TBi9BoqjnaRnj4Sve3LkIDzSWjjUnHGDqKzu4pOxUT+pQ/Qvfwv+I61i2nj04mbfjWqquKrPxgO/gCgKgTaG9CnDcDXEBlgAzAXT0bUGdGl5GJIy0cNBmj98I/Irs5ey3oqd2IdMatPcWtjXilBR9uJ3Qb8JMV4aPQGuGbuYFo63fz0ujF0On00tPWQlWyhzeGl4kgn3e4ATyzZiUYSufeqURys7eSey0dSXtPBV9trEYWQI5zdokdWFKaNyCAlIYaNexrZcNLf3/6qdsqq27n/+nHkpJhRz5AqgyhRjg+UYy3fbAt4OFYBdAYEgLwBhWUba/qc5/EFqWpwUpRp++eqgESB5VtqeWvlQQBKCuKRHS0EGvvOmisbX+PiCTfx+w8qQQg53JTXdHLj7FxGJLjwfvkMwoDRBDsjRaE9lTsxDRqHq3xDr20asobga6nBNnYu2vh02pb+BdFoJn7mteEAkD41H9nTQ9yMazBmDcbbWIV9/HycG96NEHj21ZZB7S9ZdP4PONxo4UhTN79/Ywe3XjgUURDQ6yR8x1oskuNiGDck5Z9q1YgSxRtU+GxT34k2tzdIdaOTQRkn7ktZENhW3sLSDTX4AjIjByVx/w3jePq9PWHzCoC1u+q5ZEYh+lM0+DUakS27GliyooJxJalcPL0Qm1nPyq1HuXJOEcX5CXy4phKny0/ieUZ8oo6E9EH46w/0Oj7zkEn0lG8gad536Vr/Lt7acnTx6fiaerc2HcffVIUaDKBPLwRVJdBWHzovlwNv9W7aP38OQaMj+aIf0Pb5c6Qsuo/GJQ9HbCNu+lU4d63sc/vqkHNYvqGDkYOS2X24jZVbIvWNGttc/Pa17WHH1qff38sDN/Y2ZzmZTqeXOxYN54NVh9l1qBVVDXUWLJpRSHlNB42niD4frusiI8kcDgAV5caREm9iza6Q9EF2qpVfPreZDqeXj9dW8dgdk9hZ0cprn5+4xkeauvnTO7tZNKOQ7FQLOkkM64xGiRLlv8c328YkCgC+gMzXjV27enwYDX9fLE9UFe66ZDi/uWMS15w3mLsWlzJpWDpl1b2DJxBS7q9qcGA36ymr7uBQXRf3XT2a4YWJxFkNDM6N40dXjSLRHhMO/kBkQcjBo12YjNrwvwNBhS37m1i1s44ed4DObl+v4A9Ae7cfjSWu33NRzEkYDDpe/KoB7czv9sqeCDoj9nl3k5CaSkaiiRiDhjibgYfePExg5g/QjV6AxpaIxp6MaeIirAt/gt4ez9XnDabV4eMPy1txTrwDdcEjGBY/hmH+jwm4naAoeGvLex1P5/p3iJ28KNTCFT4IEXPxVEwDx+Ku3Eniubfh2P45ajCA7OnGmDccU9EEtImZEdsKOYLFRkwTDSaspdPp3hsSJBSNZlQ5gFyznTypiZc+3ouj28+n66tpbW1nYq6GdH81pbZOxmRruf3CEgSBY44KMu9+eYivtteSlmDiuvOHMGtcNqu21/H4azto7fSg0UqMKkqJCP6c/Ps++8FegtHMcJQziOMBoOPtld9kpDNEAygoq3i/RheiucONKP7tEiCdRsUkujELLoxSAEkj4Q2qvPPliYC+gIDcWNHvNgLt9aTHahmQaWfL/iaum1vMA9cMZxR70TftwT5hIbrETLT2lIj1nDtXYioaj2nwxFB1wLG9GQtGkTDnZgxZQ9DEpeKp2YsuKQvF042gOVaFJojETr0Uxe1El5JHy8d/QtTqMWQM7NPdC1SC61/mkkmhY3C6/PS4A3R1+8JizxdPL+TnN4zDoPkXSqeinNEEZTUcTOyLppPuS1kQ+P2Snfzfu3uoaXTS2Obik3XVPPHGTm69cBjSSfevrKj4+xEZVlEJyirrdjXwzpeH6Or28cMrRuLxBtFIInMn5ZGVbOHx17fT4ddgnn07hrzhJzYgiJiLpxCTPwLHxg/oqdxJ3KwbSL/+N8ROuQRtbEqf+4WQI5fc3Y4uORf7hAU4dy4HwJg7DF1yXuj4gn4c2z4jZfFPQRXQ2JOQzLHos4rRz/8JDcYBqOaEXtvW5gyjSZ9HTaOTqSPS+XRd34Gorm7fMZHn0PspqCgR1y7ieMWQK+/RJieXzy7i13dM5rHbJ3Ht+UNYueVon0H1xFgjoiCQkWTmitmDuPrcIpSTqhaDskLHSVIRBp3EO1/1TogCfLDqMB6fzDurKkGSMMZo0emkPpc9GZ1OQquTkKTosylKlH+FaAXQaYBRr4nIzJ1Kot1ItytUz5qdYsFi0n1tRF1UVRIsOmaOysBqNVLT8DW90IA/IDNpeBr7qtpZueUoW/Y3MW1kJqOLkuns9iEIAm+u6J1FOY7NrCMz2YJBJ5GXbiMoqxTnxzO6KBlfQO63e+ijrW2UTptPYNn/9TFXwDhkCkc7XOSn23n883Zum/cAupZypK6jqPE52AaU0oWZp9/dzTljs2lsc1E6KIl5k/P45ZLD5KblMWnoMFQVVpc7kPdXMjgvnhVbjnLJzEK27G/mnLHZGHRGdtV0kGhoZ3hePkgCYoyt1xGpPjfN7z9O7ORLiJ1yCcHuDkSdHtFgwltbQaD1KN0+N3FTLkE0mkm+6Ad4KnciuxxYSqahjUuhfcWLBB0taO1JGAtG0rPnK1RFxlQwCuuo2QScHciOUAlx/Ixr8dYdRPW78e55havmP8Rdf93Naz+eiHvLB7T8dRnH2+dEfQyZ8+/hV7eM48XPKoi36vneZSP5YHUlH6yuRBIFxpekcdV5g3llaTkuT5CyqnZS4mL6/V0b2lx4AzImbTSOHOXMoLXLg14rYfw7Bqr/azTSmWEDr9UIYffKvshPt/XZCidKAr6giiiCXfTQvfkjOnZ/gRr0o88YhGHSFXQEIiuH9FoJran3s/84gqQlqAosmlFIjF7Dlv1NzBpixOC24m/vpunNRwBIvfznkbbsSpCWD/6AtXQ6aVc/jOJ1IZnsqKpC9741BNvr0KcVYB05m0B7I5LJiqDVY8gegm3sPJzbPsN9eDvaxCxsY+ciux3I3b0NGY4T7Gwi5SQZq6Z2F4VZsUwYmoYgCOSl2/jDkp388PIRRD+zovwz6DTi196XBcfuS1EUqG7q6TMJ2dXjY/3uesaXpLJud6hqLsYQGg+fSjCoMGJgMq8tq2DMkBTOm5DDroOtDMqJ4+0vD1FV7yDGoGH6qCx+cMUovtpWS2byANJn3YTk60F2ORB0BgRRwlNbTuoVDyK7umh8+Seofi8IIimL7uu3VdNaOhNfczWWodPoXPsWcncHotFMzICReGr2oo1LJdDRiKdyF+pUL36PG6bdjuLxsOlwFx+804ijp5ZrZ45j2uXTCBzcQMDvR84ezWGHnj++GQo8x1uNuPrQ8SzOi2PWsFhyEmDe+AzeXFXDxr2NnDcxl4/W9g4YnTcxh3irgYwkM5V1XWza34jLHWBcSSqHart6LS8KMHJQMo1tLuZOzuO5j/bz2cYaHr5lApqTHCdPrv53e4P9frf4gwouT4BP1lfT1OFmSmk6HU4vY4ekoO3DoEQVBLq9Qb5cX02H08fYISkMzIpFJ/Iva7xFiXImEg0AnQYYNCILpuazZMXBXvOKcuJobHMhKypajcg15w/GatT+zZJKVQ09NJ0uP1qNSFqCiYZTyj2PMyDDjk4nkRpvorHdhdPl58M1obaowiw7wwsTyUyx9FnFo9WI5KfbkESBh26eQEe3D40okBgbQ0e3lwf/uok7Fg0n3mag3RE5UKhpdHJEHExG6UxcO1ecmCFpsM25nRa/kU/X1zAg086EoWm8vaUWmymLcUPGkBxvYl9zN0a9j/Mn5hKQVTbsbeT9VYfJTrVy44ISdla08MSHoRdjZrKFG+cX89gr29BKIvnpdlLiYlAVMMg9jJX2o+xcQccmFzGFo7GWzsTVh1OY6vciCAKtn/4ZubudpAX30PzOb5B7TrR6Obd8TMKcm/FU78Z1zG7edWAjkjmWxPPvoPXTP6GJTUGoLSfh3FsQBBHZ042g1SNp9NimLMaYlo9z2+dYR55D8/u/BzmI0VHNX+4ejVq9DfeOzyKOS/G5aX/3V8Rd8igLpuRjNur4xbNrw65gQVll7a56ymva+el1Y3nyzV34gzJGff+PCEGg3+xSlCjfRlq7PNjNumMued9sJEnE7/96ceFvA3pJ5PLZg3jyrV295qUlmEiJj4nQwxNEAXdA4e3lFWwrb+HHiwbg3/gngm0nHIF8dQfwvfVzci9/GJtZh6PHz50XFDBI14QuNjEyeHPysQyeTMBkw6xIPPX2LiwmHTOzQpWp3TtXgKgh8bxbUVVImn8nrR8/dcIeWgkS7Okk0NWCZDQTdLbS/O5vw/txHdiEqI8h6YK7aF/1OknzvkvczOtR3A4CPZ2Yh05DG5uMIWMQbcuewTRw7NdfOPHER3RaohmDXuJXL+0G4OLpA0iJj0FWVKJFQFH+GfSSwOWzBvLk27t7zUtPNJMcF7ovNVqRL7f1tms/zub9TVw+a1A4AHTR2QMwavt2kTIZNZw7MZfhAxL564f7uPScQfz82Y3h+W5vkI/XVVFZ38WVc4oQPQ7aP/09gfb6iO3YJ16IoNHS8sHvT9znqoJz10oSZt9I+/LnQzo/x/c7eBKiwYQuJY/mD36P3NWCMXcYtrFzCfZ0oXh7whXqos5AoLORg554fvHaRgbnxrFoRiHy+npUFZ5ffoTt1QmcM2YGqQlmqhocrC9rYEJJKudNzCXGqInQ4jToJO6/bBCxrbtQdr6GstnDhJzhTLh+Lp/tczN7Qg6xVgPvrzqM0+XHEqPlwmkFTBiazmufH2DTviY0ksjk4emMGJiI1y9z9qhMvtx24nmo1YjcdEEJB492kpNi5aHnN9PtDpCRZEYSBc6bmMOHa6rYcaCFUUXJbC07pvv0N54dx4sdt5U3c+6EHJ54YwdvrjjIQzePx24/kXxUBYFNZc08++G+8LR1uxtIjovhwRvH/Usab1GinKlEA0CnAYqsMGNUJoIg8P6qw3j9MqIoMHFoKudOyOX5j/czY3Qm503Mw2rq3wb+ZCRJwOEJ8uTL23B5Alw2exC/e217r1az2eOyMeokROCBG8exeX8TX+2oQxIF5ozPIT/Dxv1/2cjdl47gaFN3hOCcRhK475rRGHQiTR1etpY1sa28Ga1GYsaYLBJsBrRaiXe/PMztFw3j8de2R2Q27BY9tsREAgkLSBpxLoGmKtDqITaTD7e2MapYy7jiFCwxOg7WdqHTSBh0GrQ6ic83H2FbeTPjhqQgiAJvnhQ8K6vuoKy6g7sWlzKqKJlgUEGSBFzeAN+5eDg6rYisKFw/bwi5ceBf+Tz+urLw+j17ViGZ47FPuoiude9EXC9T0QQEnYFAWy3W0efh2PpJRPDnOG3LniVl0X3hABCA3NOJY+snJC+6j+69q4kpGAVBH0rAj7+pmo4vXkaQNCRf8mPaPnuG2AkLce5YHhaq1vs70Tuq6OjDZj60gyC6xj1kF5zNG8srwsGfiOPq8rL3cBsqIbejlPiYY5UEvTMswwsTMWilY57AUaJ8+2nu9JwWAtBw3Ab+239vyrLC8Px4bl5QzGvLKujxBBAEGFGYxE0XlKDhhI2AIIDLL/P9P67F65dJsBuwB1sItPVhB63IdK99jQsnLsTp8lPk3Ihv12c48ktJmHMzbZ/9JSIIpE3KwTbxIhwODX5ZZs7EXHQaEXucTNu6VwCIm7qYnrJ1WIadjXPXFyRdcDey24Hic6ONT8fXcIjWD/9A+nWP0fDK/b2CTIrPTcdXr2EpmUr7sr9iGzeP1k+eIvXyB+la9zY9+9birTuIbeQctAnp/bpJ6rJL2NbgZ/roLKwmLYOyY3n6vRNitOt3N3D9vCHo+/nQjhLlbyHLCsMKEnrflwOTuGn+SfelChqp/ypiSRRR1FAl/EVnFzBlWFq/f5NaUWDm6Ez+8v5eZo3P4fXlfVeml1V3IAkKhsNf4Dsl+APQtf5djLlDEQQRlRP3oLtiM2rAR/LF9yJ7nMg9negSMvAcLSPQ0YhkiSVh+lUAeOsO0Pb5s8RNuRR9ci6OzZ8AYC6ZipSUzxNP7gwfyyuflXPJjIH89aNQgKOlw0ObwwuCQF1zD9NHZTIoJ55nP9zD+RPzmDs5j9c/D1UE3X1BPvZtz+FvODHG9R1Yh1C5lYWLH+bh13dQmG3n/uvHYtBp0GkEJFHkzt+vpscTCiJlpVgYmB2L0+XH5Q1w1ogM5k/JO1Y1pSUl3kS3289X2+t4fdkB/EEFk1HLNecNxh9UOGdsNsMHJPLqsgPcOL+YupYeGttctHV6+hWZjrMa6Dgp6RtyB9PhdPn57es7eOz2SeF53oASEfw5TnOHmyUrD3LV7EGoZ8C7LkqUfyfRANBpgqiqzB6TydTSdLw+GZ1OxKiVEASBH1w+Eq1GRFTVv9v1xSvDT55ej6MnlH1ct6uBn1w7lk/WV3G4totYq4GLpg1gcE4sgqqiEvpjmTo8jdFDkvF4g0iiiE4rYbfoefz17Vw/rxhBEKiq78JuMTAg005GggmHK8Djr22PeAkcrutiUE4sN11QwpNv7eLlpeXcdekIWjs94XL0nFQrS1ZUsG53A6IA40tSmT0+hxffLKM4L55EuxFRFPD4gpiNWjY3OJl6fga/fXV7uJromvMG97KtPM7zH+/n13dM5q7frwprSIwuSmb80FR+8+p2LpxWwECDD9dJwZ/jODa8S9yMa0m96iE8lTtRg4HQgEFrwFMdEsk2Zg3GuXVp3z+AquBvrUUTm0qw84TGjqdyF7Zx83Fu+hDXvjXETrmEtqVPn1gt6Kd710ripl9FxxcvEWg98eGii0sFSdNL3Ppkgu21ONP87DkcEpIekGln+ugsbGYdrZ0elm8+wq6DreSn26iqd/DZhhqun1fMMx/sjWjVi7XouXFeMYKq9OHRFiXKt5OWTg8F6db/9WH8XUiSiP8M+XgXVJUJQ1IYUZiExy+j1Rx7P6pKxHNLFQReX34w/LzPTbUh1e2gvzop35H9TJl2E64eF763Q1WVnsqdgEDKxffia65GcXejySmlrFOH7Dfg9LipaXCSkmBCAAS9nqCjFUFrQBuXSsdXr2IZNh1v9W681buRTDYEjZ5gdzsoMoJWT7C7s7cD5TH8LUfQxqbirS3DNm4eiqcH79F9+JqrCXY2EWivx1O5g7gZ15B88b00L3mYk500JZMd87RriW/RsL+ujg6Hh92H2jhvYi5Hm504evwoqkp6ojka/InyLyGecl/qNCKGU+7LYFBh5thsVu/sHYgBmD46k+EFCQy/awoGjQiqioyApBERBAFBUQkGQ/ezRhDRaEQOHOlk/tT8fh2wAMyCF//+Vf3Odx3cij5zUIRLF4Cnahfe2gOkXfMIbkcb3oYqzIMn0r13Dc1vPXpiQUlD0rw7cVfvQpeQiRrwok3IxDJ8BgcbnBHW7JV1Di49ZyCiKKAoKoNz45g4LI0XPi5j/Z5Q5ZPJoOGHV43maHM3Iwcm4/YGWbernkx9N4GG3t0BasCHd/Pb3H7BVdS0BXjri0OIAtwwr5h3vjocDv5kJlu45rzBPLFkJ07XCWu0/HQb91w+kj2HW9m0r5GvtteF56UmmPjOxcN598uD7DgYEo/Oz7Bx04ISrEYtv7hhHI1tLmpburnr0hE8+NymiFYwvVbi1guH8spnJ7Q0LTE6vL5QsLqxzUVnt4/YGA0ajciOsr5NcCAkCr54RmG0CihKlH+QaADoNEIOKugE0BlCpduqrIQDM2pQpn+5vUgkSWRvVXs4+AOwaV8j+yrbOHtUJtNHZ1GYaUd/io2wIgq8uryCFVuOhl/ecVYDP7xyFM98sJcnluzEZtaRlmAmKCsMHxASs1u59WifGYADNZ3MGJ1FYqyRmkYnD7+wheS4GOLtRmaMyeTdrw4xpTSDScPSkSSBhtYe/vzuHu67ejQGvcT+6nZe/7yC5g43aQkmrp83hO3lLeHgj14r0e0OIPfTH+x0+WlzeMhNs1Fe04EgwLkTc9l/oJbHr8ojpucIwcM1/V7HjpUvkrTgHtxVuxAEEffhHVhHzUbxOEi++F5EnYG+LOyPowa8CJpTb0EV1RtqxZN7Ovu0lncf3IYhY1BE8EebkAlygICjDV1yNv7mfo47eSC1zT2YY3RcPL0Qf1Dm3a8O0drpISPJzAVT89FqRNITzYwclIwoCjS29XD/9ePYX9VGS6eH0sJEBmbHhQdimmgPdpQzgKCs0NHtxW5J/F8fyt/FyboMZwJyUEErgFZ/rLVJ6R2cDigqW8uawv/2+IMohv4DeqI+ho4eP4n+Fk5WKPFU7sBTuQNtYiaiPgYlZyK5yXoMzTswHt1HtjUFv7mUV9c0Mzw9F11yNiDgrQ99qKlBP6LRjOLp6WUrLYhSL/fHU1GPVQapx6p7Ah2NaCzxBDtPnFvnV6+Rcv3jaC5+BH3tVnA2Y8grRZtRxJJ1rby/5oQuyM6DraQmmLjzklIeen4zU0ozMOlEAoEz5+8nyn+Gv3VfqqpKSqyRiUPTwsGO46QmmJg5JgvNsQGnoqq4/DLtDi9b9jfh8cmMK04hN82KQRJwBWTaurwY9Rq0kthv9TKEtMMCAV+f8+BYO7+k7XOeLikL14HNeCp3gKqgzygkJrcErS0Bb10F2thkTEUT8LXUYCmZhnPnChLOvQVdch4Br4v15e5e2+zq9mHUSfgCCmeNzKC10023+8QY3eUN8tn6auZOyeOjtZXotRKP3TEZNr7UbwDbe3g73YUX8Jf3D3HWyExGDkyis9vHrkMt4WUumVHIH96MDP4AVNY7eHlpGfE2I2kJZu67ejTbDjQTCCgsOKuA+5/ZEPENUVnn4Cd/Xs/jd07BqhHITjaz9UATFUc6uPeq0VQ3OKhqcJCRaGZgdhxvrTwYdhOLsxrwB5WIhMXJ7y53H5pHJ5ZTQ50L0QBQlCj/EFH11jMQSRLYX9lbILLHE+CjtVU8/tp2UIkI/mg0Imt2NbB889GIjGqH08uDz23instGMG1kBplJFoYWJPC9S0cQG6P9Wgt7gC1lzQwtOOF60Nzhxhqjpd3hw27R89tXt/Hoy1t5+IUtrNpRx00LStha1kRZdQe/f2MnzR2hF2lDm4vmTk/EAOK4LtLX4fPLXHP+YPRaicKsWFS/mxm2agLv/hRf+ToEKRSgEWOsSJY4Tn7LCBotKEH8jZX4Gg4RaK9DG5eGq2IzLe89juxy9HL3OhldSh7BjqaIadqEzGN6FQKS2Y7i6x04E7S6E83TooRp8EQSLvge7StfpnvXSmxj5va5P9FoQZNayNL11Vx1bhFHm7t58ZMyWjtD+6hr6eGpt3fj8gR4f9VhHn15K4+/th23N0hyXAzzJuUxrjiVT9ZVcduvv+S233zFwy9tpedYS2KUKN9m2hxeVBXsp4EDGJw5ItD/CAKhxMBxyqs7ULNH97u8tmQmX+7tRBX7/hAMtNbiq6sg0arF9/4v6Pj0KVx7V+Fev4TgOz/mmpEiTZ1+7BMuRJWD4We36/B2bKPP63ObkjkWjTXhJDewSMQYK2rQj8aejOJxho4zNoVgd6SIrioH6Ghs5J4XD/Gnyjw0Z9+KkjWGqi5NRPDnOI1tLrYfaGHaqExmjMqMBn+i/NcQVZVrzivi5zeMZVRRMiX5CVw7dwh3XDyMQFBBEAVEUaDHJ7Ni81F+8ewmlm6o4avttfzqpa385tXtdPtkmtvdeP1BLjyrgFiLnvElqX3uTxIFJL0JQ15pv8dkGjiWQEdDn/NsY86ne9cKfA2H8LUcgaAfx9alGHKHgaribawCUcJ1YAtdG96DoA/H5k+Qna1IWgMrdzb33qZZT1qimR9dNYo3VxykxxPkrJEZEctsKWui55hQ8/ItRzlY24kq9f8+ErU6AkEFtzfI0vXVvPb5AXwBmaKckLuuUa9BUdWIQE7E/vY3Mbwwkdc+P8ATS3ZSkp/AwOxYtpY19blOUFZ5c+UhEEVQVGaOzmZreQsP/HUTuw+1ctHZA6hv7eGBv26ivCb0vLKadNxx8TDe/uJEFZPJoAk7bcqywuiiZMzGvp/Bg7Jj0UWFyqJE+YeJBoDOQBRFJT3J3O/8BJux1zRPQOH9VYf7XN7tDVLT4OSGuUO457IRzJ2YjUkn4ldC9S9fp5cqnuQYcJxLZhRS0+Dk/VWVERmB6gYnf3xzF9lpNhpaXfSKOaiR+wrKCgKhl0lfZCSZ8QdlNu1r4tE7JjGlNI0cm4xv4xIAvPUVmAaNI/niHxE37XLs4y8g5ZIfYx11LiBgLp6C69C20MYEEdOg8SBA4tzvoEvOoWP1EmInLepzIB8zcCz+5poIIUEEkdjJi/C315Nw3q1YR86hZ8+qXuuai6cgxlhJWvh9khf9GP/wRXiDoHh7CHY142usJH7mtYhGS3gdXUouSQu/z+qKHirrHSTajSzfVNPndXl12QEWzSjkhnnFiKLAmysPUlbVzv6adn79yjYq653hZY80dXP/M5vwR78VonzLaekMBZtjT5sAkEgg2sITgV4SmTkmK/xvWVFZuqsL/ZRrei2rSyvENGwGKQlWpPj0fqsB9GkF+OoP9arkQZHxrfgTdqsRVReDbfx8zIMnkbLoXozpAzHmDiN2yiVhcVgAQ04J8TOvpXvfaqwjZ/W5v9jJi3Du+JzYyYtwbFuGaDChsSVFtBKHDwEBRVbYWdFCW6cHURRYubV/wd31uxu4ePoAdNGRYZT/MgKwtayZeJuBrBQLq7bX8sQbO3nvq8N4gyqIIu0Ob5+OVodqu1i9sx69TuI3r25nbHEKv3xhM9NHZZFxylhXFOCey0eybn879qmXImh6a7rp0wtRfG4SzrkOXVJ2eLpkspFw3m14qvcgHwu4mosmgKQhbsbVeKp34z60DfvYubQtfx7Poa14KnfgOrSN2EkX0bX5I3wBpZczVm6alQSbkXHFqTzz/l72VbWjKCox+lOeOUKoRayyzsHcSXms3l6HNGBCv9dUU3QWK/ac0KCsqnfg8gQYXxwKjJmMGpz9BH8AFBXkYxVUiqKSaDfS1uUJB2/6oqyqHX9QQVVV7EYNv79zCnPG59Da6eHlpeUsnDaAX902kVsWlvCjK0dxy8KhvPhJWUS73nXzikmwGQiq0ONXaGhzccuFQ7nv6tEMyok98XuIAjfML+ab78kZJco3j2gL2BlIMKgwZnAKr3xW3md57IVnD0AvCeEHP4QGysddB/riaEs37U4vuw+1MndyHj3uAK98Vk56opkJJWl8cMw17FTOGZtNQFaIMWhIsBkZPTgZjSTy4dq+l+9weulx+5kwNIXsVCuSKOAPyny4uoodFS1MGJrGxycNED5cW8nNC4byhzd3RrSCGfUarp07hLpmJ6OLkhCA4QMSoezT8DKmAaMIdrXQ9tlfTji1AJZh00k471YMWYORnR2YBo0LVQepKi3vPw6KjHXkHAy5QwFIveJButa+hbf+IJLJhmX4DMxFE3BX7UJjT0Z2OdCnD8A2+jy6d3+J++AWLCPnYC6ZSufqNyLOX5eUg3HgODr3rEfJGEZlp46aDgej8q3YB0/FX7Ya57alGLIGE3/OdQiSFslsJ9jVTJdH5d01tei1EkebunsJfh/H7Q3S2OZm9c46fnDFSB57eRuvL6/gqnOLgNCH5QVT8xmSF4/bG8Cg0+DyBokzaf9uDaooUU43mjs9SJKAJabvQMA3DY0kEjjD70dRFPApoQx3qHpLx7kTctha3hz+4PhkSxPK6BQuvuK3yDU7CLq7sQ0axcEuPXc/sQ2vX2Z3RTw3nXMr7mVPRVhAiwYz8XNuofnNh3vt25g/gthJF6EGO1GCfnRpBXSuXoJr/7rwMjFFE0i78kFktxPJEocgaVH8HoyZg5HMdrQJmTi3LSXoaEWXlI1tzPkEupqxj51HT/kG1ICPpAvupv2Ll3vtX9DqcUtW/MGQdofuWOXT1wUFA0EZgWhLb5T/Pt2eAEs31AChKr0bLwhpSm4ta+blz8qZNTY75Bp2Smur1aQjP8PG0SYnOSkWslMsbClrpqvbz+/e2MH184pRFJVDtZ3EWQ2UFCRg1EsMTFAJtlWSfNEPce5YjqdmD6I+Bsvw6ZiLpxJ0tuPc+mnIXS8+DVFnRBAl2le+hK8+JMCssSVhLp5C89uPoUsbQNy0y0m94gHQ6LAMnog+IR3JEo8+OYeuzR8juxx0K4aI8y7MiuXy2SG3suNtWImxRoKyQktnZAX4uCEp7D7UyrJNR5g3OY85E3Lw6UFXej7+nZ9ELKuNT8dbMI1NqyLFk3cfamXxjEIKMmzUNHaTHB9Df5gMGkQx1KL1oytHkWQ3MHdiDq/34Uh8HJtZhyQKqIBfAa0kcumMASyYmockCEgCqAaJ9LhkAgrsq25HEECvk8hKtnD57EFkJ5lxuvy88Gk5a3ed0IYy6jX86KpRBIIyW/Y1c97EXGwxmujzKkqUf4JoAOgMxaARuP+6cfzq5a14fCf6a2eNzWbUoMReH/IaUejTqv04CTYjS1ZUkBpv4mhTN89/vB8IZc3Pn5TL5v1NNLZH2syXDkwiKS4Gg0ZicFYsqAqBgIJXUSIE8k6lqd3Nht2NbD6m5WA16bhrcSktnW5SE8xsLWuiqT2UrT9Q04nJoOWhWyaw40ALR5u7yU6xMjg3jo/WVjJ/agF/eX8vR5q6GTkoiVvTj2UhRAnLsOk0vfWriAE/QPfuLzBkDiLY3UHTGw+AImPMH4E+YyAJs25AjLGieF2oAS9Nrz+IaLRgGToNc/EUFJ+Lnn1rCHQ0EDtlMShBRL0Jf1strZ/+H4o7VF3TvWsFlpKpIY2hQ1tRAj5iiiaiJORT1g4xg+bi9gQoKDDRWdbET57bwY8XzyI3Ph33to/xHi0j6GjFNnYu/tajKBojqzusOF1+JFFAr/v6nIkkCRyq7WLFlqNMH5PF0vXVFGTYmTM+mwlD0/hobRXvfHkovHxOqpV7rxqFQRKiL+Mo30paOz3EmvWnhQU8hO7hYPAMvhcFgYo6J394a2dYQ8Kgk/jOouHcf/1YKuscrN5Zj8moYWhRCsvKHOw6mMi5E0ez9ot6tpWfSEJsrWjHbEzi0kseQaragNLVSDBpEHLaUGRB08vpUZ82ANv4C/DWHqBz7ZvYJyzE31oTEfwBcJdvwF2xmfQbfou/vQFkGY01juZ3fwOEWoItJWehiUs99gGqQZecR9DZgmXYdGIGjEJVFALtvVtV7DNv4Kn1oVaTvHQbMXqJYFBh2ogM1vQjuDthaBo6SYw66kT5r6LRiGFjCoDbLxrGsk01lFWfqDTZuLeR0sJEbl5Qwp/e2Y1eJ3H93CEY9Br2V7Vj0GlIiovh/Em57KsMred0+fm/d3Zzy4VDmTA0jYqaDqrquxifbyRG7abxoz8i6AyYi6eScM71KEE/rvKNaO2paCxx6BIzkYxmNJYEPJU70CXnhKaZbBizBiNZE2j95E+ocgBfbRmyqxNtUi6eg1twbP0UbVwqSu0BOle9DpKGlMU/Y0enyIM3jUejEdEdO+/fvrqNbneAggw740tSKClIRBTgtWUnXMxsZh2zx+fwyIshU5OP1laxdEM1t100DEvyZNIvGIWmcjWC34WcNZY2fRq/fq2i13jMZtYjqCo/unIUR5q68QcVBufGRVzr48ybkk9uqpVHb5uATgxVE6rArHE5LN/cdyXhwmkFON0BnvlgL4fruoizGlg4rYBRA5MRVCWceAwGQxX6pQUJFGXHhYN7EqH/r9hWGxH8AfD4gjz0/Bbuv34scyfnYY+Rzux3XJQo/wLRANAZiqqo5KSYeeoH02ho6cHtDZCRbMGgFRH6+IDXa0QuO2cgT769u9e8OKsBs1FLu8PL1ecODltZQqi9649v7uK2i4ZxtMnJtgPNaCWJs0dlIkkCiqyi0aoE/CeCUJIYyrL3V3GUEm9i5ZYTLx+ny88jL27lwZvG4/YGuP/6cWwtb2LP4TYk4KxRmdgtesYWp9Da5WFvZRtvfXGQOy4extPv7aGxzUVeuo0BmXak7FGw83OM2cW4jwn89UXXpg9JPP/2sE2v98g+rCNmAgJNSx4mJr8U0WQDQPF049j8UcT6/vYGbGPm0r7ihb5/IDlI0NlG29I/Y8wdimSOxWvP49mlRzh4tIt5U/LITrGyvbyZkvxEDHoND71xgGEDkrnmvJ+RGmtEEhRUOUibR6TdI7JnZ01o04qKPyhjNel6Cf8BZKdYaGwLBes272vkvmvGsH53PXWtPQzKiSPGoGX6qCxaOz3UNIYCVjWNTh56YQs/v25stBw3yreSpk73aaP/A9EKIKc3yKOvbI1oMfb6ZX7z6nZ+fcckBmfZGJwbiz+g8oOn1oaTDotmFLLrYCvjilNJTYihw+kLueDsamHNnlb+9MOF7ChrYvXuRio+2stLPxiDZI6NCALZxy9AcTvp+DJUmWPMG07zO4/1faCKjLtiC5q4VBRvD1JSViiJ4HYSaKul46tXw4tqEzKJO/sKAu4evFW7cJetxZg7jJRF9+Iq34C/9WioKqFkKnXBOLZU7CXeZuCey0agEUKCu+lJ5j4/+CwxWhaeVRAN/kT5r6OqJyrUslMsdPX4+gxI7DzYyriSVJLjYrhu7hDe++owFUdP3Hd7Drdy+axBnDcxh/Kadpra3dy1uJSP11WFt3fXwkKE6r04m6tD+/Z76d7xOd07Po/YV+xZl9G1/l0kSzwJ596CNjETJeBHFQRErR7nrpUE2uoi1une/SX2GTcg5o4kMSGd7t1fofo9WIbPwDJyDhuOyPz+rW386KpR/PndPUwtTWdyaQZ1Ld1MHJZOfUsPK7ceZfnmo4wvSeWuxaV8sKaSnFQrhZmxPP3enrCDIYQ0d77YcoQ7F4+grqWHw/rppKXH0NzpjXDYOpkJJakEAjISMCDNSlu3l6vOHcyyjTWs211PUFaxxGiZOzkPnVbC65cxacWIQJI9RssN84fw3Ef7w89XQYDZ47PJS7PxncdXhZdt6fTw9Ht7mTaykyvOGYhwiuZDMCCHPkRDpYcogCcg9ys5EZQVDh7tZPehVu64aFjU/StKlH+SaADoTEZVSYo1YdSKqIqC3y+j9lO9IcsKwwoSuOrcIt5aecJGNz/DxpVzivjzuyHrc61W7BVU6Orx8ciLWxiQaeeK2UXsr27nzZUVNLW7yUm18pNrRkcEDQwakQumFvT5AjMbtZiMGgZk2hmYbae8ppN2h5egrLClrImubh/nTsxlSG48wwYk0uMO4PIECAQVLDE6QGXe5DxuuqAYr1/G5Qlw39WjaWhzsbWsieGZ6VhT8pFirCFb3n4IOttBBckSj9zdjhr042+pRROfStLcO1BVBTXox3TJT3Af3oZz++enbCHU0/51CBotis9N0NmGdeJiHF6Zq0bpMI2xEjDA5qomXlp5lIwkM/deNZoNexrYV9mON6DibTiMb98XoCqYS6ZjSCxk8ayB1DV3h8UT7750BL96cUuEzpIlRsv184v545s7gVAPeFBWmDM+h0/XVbO3so0ppelkJVu46twiXvikjNrmkJNDXUsPXS4/8abTo0UmSpR/hKZ2N3mpp4cFPIQCQIqioqgq4mlStfTvQtSIfPzFoV76csd558tD3HpBMaKsIIkiZ43I4IPVoYofvU7kp9eNZcOeRsqqO0iOi+EHV4xk/e5GvtpeS2unh5GDUxk+KBl/QEE2aDFPuwbHx78PbVwQkSx2OlctQTLZMWQWIRotYceuvgg4WjAPnoTs7SHgcpC04Hs0v/lIROuxaDCTeP7tdB/egSNtPPp8C5StxVO9G8+R/ZgKR2HIGoLs6sLddIRaXTx3XlLKgCw7Fr2EJ6Agq/DUWzs4b1IeIwYmsWZnPV5/kDFDUjh/Yu43qoJTd6xKVZbVaGvxtxxZVsJmIGOHpPaq/DiZ9bsbuGBKPhVHO8PBH0uMltsuGkZTu5v3V1ciSQILziogJS4GjzdAclwMwwoSyU61UpLgJ1DuIOhs7XcfQWc7gigi6AwkzL6RjpUvInu6SbvqYTq+fDnCbS8CFeSWKlytTUh5Y7CedSVyMIAsGahywh/eXk+8zUCPO4DT5efjddWs39PAgzdP4P/e3UNZ1Ykx5werK/lyWy0/v2Ec7U4PS1ZW0NAWWUUviQJXnjuYXz63me9fMZJtBwLkpusYWxzLut0NVDc4I5a/YX4xMTopLLypKCqtXV5++9oOpo7I4AdXjEJRVQJBha+21bLzYCsjCnu7XgqqyvjByZQWJlFW1U5ibAwJdiMNbT3UtvTwo6tG8f6qSg4e+31iDBo8PhlVFJDUv91iqqhqn8nJ47Q5vAiiQG1LDwWplm/MMytKlNOJaADoDMavqGwvb2bltqPoNRIzxmSRYDMg9TNqFlWVs0vTmFCSissTCGcHHn5xSzh7qpFEhD6EnSEk1NfZ7eXT9dW4PKHqnppGJ25fEMtJLUlyUOGs0nRauzws31QTLhlNijPyyDXDkB2NXGPfhCAHCM6dQG0gi9+9X4nPLzNrXDbvfnmQaSOzeOrtXfR4TlQRTRuZyaxxOfzy+c0YdBoumVHIdy8Zzgsfl1HfGmr9eqDByW9uuB2prRytvxt3xZY+r4U+JQ+/KmCZegVdn/whdNw+N1qg5eMnUf3HW+UELKUziJ95He0rng+vbxo4FkGjRxOb2qd4pyFrMBpbIunX/5YWvx6324X88WPIPZ10HVtmRM5w8q+8jJ++vJ8Hn9vEhJI0fn1DCY5PnsBxrEcdwHu0DG1yHgULfkBZlZ+ppRnotCJl1e3ce81ojjZ109jmIjfNSlaylfq2Hm5eMJS/frgPp8uP1aQj3mZkb2WoRHvNznp+dt1Y/vzeHq6cXcTv3tgR3le7w0OCWXfMySxKlG8HgaBCu9PLyIGnhwU8hFzAIFRqr9OeWXV5sqxS19zT7/yGNhcBRUUSBJo6XZQOTKTT6aW60YmiwkPPbw7r41Uc6WTNznpuWlBCV48Xm1nPJ+ur+WLrUdzeILlpVn5+9XBiLvgx8uY38bUcBUTMxZNBEHFX7qBz9RISZt2A3N1B+5ev9rJ51ydm0/TmQxiyhmAdfR7tX75C6hUP4K0/RKCtFn3aAHTpA2l2BNgRLKHYYKG8wcmQoin4yteAEsR1YBMAmvhM/APP55NPj+DyBnjgxvE0O3ys3llHt8tPWU0nZTXbGZBpZ+qIDLQakcN1XcA3Q/tHFQR6fEG+2FBDa6eHUYOSKc6PRy9+M44vyn8Gg0bk2vMH4/XL+ANyv8v5gzKF2bG89fwJHZrvXlLKS5+eEBK2m/UsHh8goaccsWYrA+xWlPwpfFHeSLZWi9Rehz69EF9dRZ/70KfmIxrMJF1wN11r3yLQXo9twkJURcFUOKZXRfdxLEOn0bXxffyNlVgFhbaCafzir7u4eeEwTEYtihqqmG86SQ4hPdFMQ6srIvhzHKfLz+ebapAVlQVTCzic18XyLUfodgcoyY/nyjlFfLimkoAccvrSiAI7K1p44o06bphfgiDA/qp2TEYtZ43MwGLQRFT4q6pKdqoVRVX5YutRvjhFID4jyYxBr+lzQC+oYJQERgxK4q2Vh/h885HwPJNBw+0XD2fphmpK8hPISrGwtayZFz4u46wR6WSnWtGi9hugl0SBjCRzhDD0yeSlWdl+oJn61h4K063R50KUKP8E0QDQGYosCDz+2k4OHDlRZvvFtlqmj87k0hmFiP08mRVZRSeA7pgQqigIEXo9ZdUdDB+QyM6DvbMrJoMGvU4KB3+Oo6oq0imi04KisGhaPvMn59Hc6cYSoyNO58e/cQnesjUnVj6wgYy0gfx08bVI5lh+/co2vrNoOI+9vA3fKYOIr7bXkhhrJD/dzoEjHWQmW9ha3hwO/kCox/jOP+/it9+ZRJLWjbj5ExTvqS8hAdOkxfzqoyaK0mOYMftOgpvfJCZvGE1LHgq3hR07O7p3riBuxjXokrLxtxxBMtmxDJtOWZ2Loot+SPObj0Rko7SJmSSceyuO7cvwyyLm4efgePeRsD7Qcfw1u4izJXLOqFEs3VxPdaMTX20Z/vreg5pAcxX+6l1s3q+jsu6EW82EklTGlaSy93AbZdUd4Woeu0XPXYtLqWpwUNvUw18+2BOxvYojnVhjdOE+9uNVRImxxmjwJ8q3jtYuD6oKcRbD3174G4JGClUYBuQzKwCkCgKyqpKdaoloDzmZrBQLGo1Ih8PHT/+yAVEQ+P7lI1k0o5AH/rqpT3OElz4t4/7rx9Lc4aYg3cp5w0tQPD0EVJGA38+jy7s5u/hyckYaEYwWuveuwXtkb3h91/41GAtGEH/OtbQvezY8XTLb0VjjCXQ0EuhoRBufjn38Apyyga7E0SytSuXgvi5qm7cDcP6kXPYcbGVsSTYW8XKsw8/GtWs5asCLpnASjVIav3rlAD2eAN+7bASSKHD/Mxu585JSfvvatvB+D9V2cai2K/zvCSWpDMqw/W8/pgSBXYfbIlrNN+5tJM5q4KFbJmCU+k4uRTn9EVSVSUNT8fplZEXlSFN3n8uNL07F6w+Gdb2K8+OpONIZDhZoJJEHLi9Es/JxPCdX6uxczrTxi7AnTqapche2MXPp3v55RJUdENJ/HDoV18EtuA9sRva5SbroR2hjkxE0Wox5w3FVbCbYFWnlrk8fiDY+DX9jqJKwe9P7BBOGcdvFw1FVFVlRkESBti4PaYknnMkWnFXAl9tr+70uG/Y0cuMFJTz19i4eu2MSJQUJxFkN1LV00+n0sXZXA9fNHYIoCgwvTOTB5zYD8Ic3dxJnNZCbZqWxzUVjq4ubLxjSa/t6SeTSmQN57fMDEdM1ksiVc4oIBJVwMuFUNBqRtfuaIoI/AC5vkN+/sYNf3TaRzzYe4Y3lJ8ak6/c0kJ9u496rRiHR981s0IhcN3dI+FxOJsFuwBKjo7XTQ1aKJeK7oS8kSUD9O6qOokQ504iafZ6BSJLIlrLmiODPcb7YWktTh/vvFjo1aEXmTsoN/3v5phouOKuAlFOcBfRaie8sKuW9r0709Q7Ji+dn142lucPDloo2urxBlJP2K6gQo5PITDJjMWrQu5oigz/HCDRUkOA8gFYrYonRcaSpu1fw5zjLNtYwbVQGgaCCIMDGvb3FM2UF/u+9fbQGzRgu+Cna1AHheZI1AcO53+OlDU72VXXw9tp6fvWVTPdZP8Rbe+CU4M8JuncsxzrmfOwTLiT54h8hmWMpTI/BuW0pyYvuJWnB94ibfhVJC7+PbdQcmpY8REzeMDSxyfja6nsFf47j3beKSyenMrU0nfED7fj3ruxzOQDX7hVMHmSLmDZzbDZPLNnJ9gMt4eAPQFe3jw/XVFKYYefp9/f0GnRLkoCsqPS4/aEMEaGsjC2mt6VqlCinO00dxyzgLaeXBhCEKoDOFFRBYO2eBm77zSomlKQhir3fY4IAM8dk89vXdlBW08E9l41EoxHZdaiVbnegl/POceIsBuxmPVLQw2C5gsB7PyPw3s/g/Z8gf/4EjyzOJTnOyAfbOnAfLY8I/hzHc3gHgqhBYwtVkhkyi0g8/zsRLl6OLR8TbK+nzenH6VX5altt+NmskUSmlmbw6vIKVBXe39zCna838oZnCu8zi7cO21CNdsYMTuG3353MkNxYKo524vEFUVH7DGwdp8Pp+58LnPtklT+901tnsMPp5YWP96OeYa2MZxKiKBCQVZ77ZD8jBiYRb+sdbE+Jj2F8SSpd3T5KCuIBGDkomQ17TozjpgxNQle+rM82Le/Gt/B53OjyRtC9dzUpl/wYbWJWeL42LpWk+Xfh2LoU55ZPSJx7O4nn307Pnq9oefe3tH/+VwStjsR538E++WJ0KXno0wuJm3EN8TOupqdsY3hbqt+DJHv5w5Kd2M0G1uyoZ0ppOp3dPgw6iThr6PzMRi2ar5ED0EgiKfExPHrHZLq6vTS1u3htWTnLNtZgs+i596rRlA5MpKnDRVWDI2LdDqeX7Qda2FfVzpbyJvwn3f8ajYggifgVBbcvwA+vHMXIQUnkpFqZPjqTn10/lk/XV7NpXxMaTd/H5w2qvPtl31o9gaBCeU0nNaccE0BlfUiAX5L63q6iqAzOjeN7l46I0N0ryU/gO4tKef7j/cTbDKQnmPtNOKqCQLdfZmtFG+W1Dvwq0Mf7IEqUM5VoBdAZiF9W+GxjTb/zl244wi3zB/9d6vqCqjJ/ch5FOXG8/eUhOpxevtpWy/3Xj6Olw01ZTQcJdgPZyVZe+HR/OOM4tCCBmWOz+PUrkZU6pYWJ3HbRMDzeIF09PpZtrKHHE2DhlBzSypb1exxK2Up06cOxW/S0drr7Xc7p8mM8FrCoaXT2mxU4VNvF8i21zJ2Ui3bW3VgFL4Ki0OyC3316hKr6Ey+1mkYnOpOZwIH+szhBRyv6lDxc+9bSteFdBJ2R1Mt/gS41n5b3fkuwpxPJYEF2O8IZqfZlzxJ38U/pONh7QHwcVQ7Q1u6kpCABwe9B7fqajz01lIE6Tmq8idrm7ohroNWIlOQnoNNKVNZ3YTHp+yzFHZgVy5srKkiwG+lx+ynOi+c7i4YjofaT04kS5fSlucONXithMpw+r8zjg/YzSQja4Qnw4qch7bhP11dz1+JSXvh4P53HqlStJh1XnVvEqu21lFV3UFbdwdghyTxw43i8viDaPj50zEYtJQUJzJ+Sz5/e3s13Jwq4v/hLxDK+hoO0vvUgxefeyqCZcfR88Xyv7Rynp2wdSRf9CNnRiq/xMC0f/SEiwC93dyCZ7QhBkQM1HeEW6HibgVsWDmVfVTsjByaxbnd92Inxy5OCVofqurjsnEHc/8xG5k4KvZsB3N4gCXYDbV19O3kWZNhQlP/d34okCZRXtdNfon7bgWZ8wSHoo2nLbyV+BX7+7CaaO9wcberm3itH0+MNIMsKLm9Iy3F4YRIaQaAkN47kuBh2HWzrJTlwdnEsgc/X9rsfV8UW5HFXYTy6AXflLixDz0JrTwYg2NNJ55olBNpDGkSq30vjyz+DY6OaQEcDnsodJJx7K4LBTEzhGCS9EY0tEXflToxZg3BsEI4tL6BKOjq7fXQ4vcwcl4XJoEVV4ZXPyrnz2LOp3ell9OBkVu2o6/N4zxqZQaLdQLsjVO1T29JDTqqVs0dl8sHqw6zd1cBvvzsFW4yehhZXn9uA0DVSVFA0AkEZ1u1uZGtZM5fMLOSD1ZVYYnRMHJpGQYad+rYefvncZoKyQnFePCGF5j62iUqHs+/nCUBdSze2fowTlm2qYcrwtH4/Qk1GHSMK4xl4xyTaHB7c3iAVRzr5zSvbSIw18v3LR6IToa9HliKIvLB0P+t3n5BX0EgiP7hiJAPSrNEywihR+BYEgCorK3nooYfYuXMnJpOJ+fPnc9ddd6HTfX0lgqqqPPvss7z++ut0dHRQVFTEfffdx/Dhw/87B/4/RFXB5++/x9rjD/Q7COsLUVUZkh1L4dWjkRUVrSQgqCrZiSYK0qx4gjKBoMq0EZm0dXkw6rXcML+YpnY3d186AlVVWbbpCLsPtbLzYCtL11cTbzNGuIllJxpIC/RvDa/6fRi1Ek3tLiYOS+t3udR4E53O0Ha2H2hh7JBUPl5X1eeyg3PjeOyVbYwrSWVAhh1/UCY90cz0USGb+g6nl8xkCxdMzcem9aFNzsVVvqHPbemSc3BXbMbbcAj7xAvRpxciux0YMwYSyCvFuWN5L1HCoKOVgMeNLqWA2HnfRdSGXqRKwIdz21J8DYcRDWacAYGXl5bzgytGYjKf3W9fu3HIWazfduJDQ6MRI/4O5k7OY2hBAjsrWnB7g1wyoxBQuXF+MT9/dlN4uYXTCti0v4kxQ1KwmHT85Nqx9Hj8aCQB9W+U40aJcjrS2OEm1nL6WMAD4WBv4AyoABIlgYAC7Q4vAzLtHKrtYmt5Mx3dXq4+bzB2ix5REOh2+9lZ0UJdSw+iKDBuSApTR2Twwsf7qTjayd2XjiDOaqDD6UUjCVx93mBirQa63X5Wbj3KzGGxKFue6fMY5J4ugl0tiEYPyte9qwI+FJ+rX1cwbWIm6IzIgpnsVD2P3TEJR4+fHo8fnUbknS8O8p1Fw9l1qJWfXjeGYFBFoxE42tTNB6srqaxzEJQVgkGFN1ce5Oc3jMVu0bNsYw0XThvAX97vXZk0MCuWWIv+f9y+K+D19y+UHWrjUP6meUKU0w9BEGhsc9F8rNJy6ogMOnq8vPrZAWqbu4mzGpg7OZf9Ve20dnk4e2Qmry07wI+vGc2+qnbGDEnhwzWh1iuNRO+2rpOQZC9+WUWTOxKx6yitHz3Z53LahEw8dQegj5RW+4oXSLn0Z/hbapB7OnFs/oSgsxXbmPMx5pbgqd6DIb+ULfWh50BlfReZyRbufW0ds8blcOP8EoJBmTsXl2LQijS1u5kwNJUNeyL1IFPjTcwZn8PBow5+/crW8Lh8X2U7yzYe4XuXjaAoJ55lG2tYtaOOH145qt/zHjYggQ17GxiQGcvvXt+Ooyd0jQoybWHZhr4SwyUFCX1eAwARgcxkS0T1+Mnkp9vYc7itz3k+vxyKw3zNK1WRVbSopMXF4A0o2M16pgxPJ0YvoRH6buuSNCLr9zRGBH8gZGby2MtbefL70zD209IWJcqZxGkdAHI4HFx99dXk5OTw5JNP0tzczKOPPorX6+X+++//2nWfffZZ/vjHP/L973+fgQMH8tprr3Hdddfx4YcfkpmZ+V86g/88ggAKAr6gQiCoYNBriNGLjCtO4eN11X2uc9aIjK97JveJLCuIHKuwVI5Xgaj4/UEkQBJhXFEiIwcl0e708svnN9N6LGsZY9Bw6TkDSU8ys3R9Ncs2HeG2i4ZGbH9PtYM5E8dCdd/VMIbCMdR2q5iMWqwmXXgQfyoXnJXP0vWh895xoJn7rx/Hpn2NtHZFlv0PzIolO8VCTaMzbHV+nOL8eH58zWi0GpHa5m52HWplVIoVXVIWosHch2YQ2MacT8e6t0le8D0cmz+ma/27oRmCiKloAskLvkfz+7/rJQ6qIhIjd9C+8sVwllgy2YibdiUuy1bkhAI+2NqO0+XHoNMgZZagTcwm0BrZk62NS0XJGkHCoQYgpIvR2OYiNz3kanT+pFy0GpGHXzgher1qRx3ZKRbuXFzKeRNzcLj8TB+VRVl1OxpRYGppBvf9aV24reD8iblcdFY+yhlUcRDlzKChzUW89fRp/4KTWsC+xUFZQRRw+WXeWR5y/MrPsLN45kCCssJvXt1OZZ2DJ5bs5KYLSggEZdISzdgtBkYVGbl+XjFef5BfPr85nBD+aG0lV51bxB/f3MnNC4ayaV8j2w+08N1LhrNxbyMzBw8IVwecimg0o0/Nw99aS0zecBytR/tczlQ0AVQhbPV+KvaJF9IQsHHf0xu5Yf4Q1u2qZ9O+Ri6eXsiRxm7cviAZyRZ2HmzlVy9uRT72ETQg0849l4/kD0t20tzhxmbW09rl4aM1VcwZn8MbyysYkhfPLQuH8u6Xh2jt8qDViEwbmcHFZw9A8z+u3pRlhcG58f3Oz06xoNdGRYBOZyRJxCur4Wo7vUZEJKQBeVybsLQwkdQ4E796cWt4vQ6nl5c+LWf66CzMRg2+QJDCrFiONDmJs+gZVpjIxr0NtHR62HvUxaTsofiP7OnzGCwDRhD4/Fe0dzaRdvUjSCYbsqt3m1LsWZfS+eUrfW5DDXiRezppX/ZXTg6O+FqOoI1LQ9PdiX7y1WQ4tUAVOalWnvtoP0FZ5dP11Xy6/sTYOy3RxA+uGMXM0VlMH5XF8s1H8PiDTChJpTgvgR63nyff2tkrKRuUFV5bVs7tFw0LB3UP1XYxdUQGq0+pJjLoJK6YU0QgEERRBW5dOAwVlbW76lm55Sj3XDaSA0dCraInM2V4Oh5fsN/Eh06Cq84tihg3Hsdu1jMoJ47Gd/v+HcYMTkGvEcPjRY1GDLeondoapsoKehH0xx1mVbXfJHVAVnl/VWWf8xQVNu1rZObITILB/pPgUaKcCZzWAaAlS5bgcrl46qmnsNvtAMiyzAMPPMDNN99McnJyn+v5fD7+8pe/cN1113HNNdcAMHLkSGbPns1zzz3HL37xi//OCfwNNBoRRQ0FVf4ZHQdRFPAEVZ5+fw+7D4WqS+xmPVefN5i5k/NYtaOObnekIHN6opmi7Lh/q+2qKIn4ggoef2ibP3t6Q4T1uNsb5LmP9vP9K0ayaW8jHU4vWilStPRIUzcO82BscakEOiIj+6LRjHH4LB7/0x7uuXQEa3fVc+fiUt5YfoADNSdsQi+fPYiWDndYXFBR4a0vDvLLmyewakctG/Y0otWITClNZ2RRMhpJQK+TelVL7ats56O1VVw2ayADMmMpq27H6QVp1askzb+TjlWv428OveAlkw37pIvx1OzFWnIWnWvfwtdw6MTGVAVX2ToQRSzDp9O944RdvKCPIUYv0PD6b0A9cb1kl4PWT/+PlCseZNNRle0Voe0JgsCWGh+pE27D2r4PDq4JCWwPnEzMwPHsaZQ5f1IeE4am8tHaKnrcAWRZZdrIDIYXJvLQ871f4keauvlqWy1jh6Sy/UAzsRYdk4al8eaKg/zmte0RGZjlm49w/qRcdNHkSpRvEaqq0tjmYvSgpP/1ofxDhFvAvqUVQIIATk+Qp97exRXnDmbL/ia+2l6LxaRj5ugsHrhpHD99esOxwJCNj9dU8cInZUCoOio/w4YoCvzwylE4evws21hDZZ2Dzfub+OUtE2hqd7P9QAsQijmIx/ZnMtmRXV29jidh1o20fvo0gbY60q59jJ79a5B7IpfTWBPRp+ThOVpG0rzv0rlmCb6GkIaGaLQQe/aVNEoZLFlVyyO3TkQSBSRRZObYbNbsrGfDnga+s2g4a3fW8/mmyCD/odou/vzubq6cU4RWI4YdMNudXqaWZrC3so0PVlcyINPOZecMJC3JjNWkw6ARUWXlG9G6azZomDw8vZcNuCgK3LxgaCjr/0040Cj/MIogsL+6g+c+3h82DinOj+e2C4dhliAlIaQbefnsQXyw+jDfu3QEWq2I2xtk5ZajlNd0sGlfA0/cNZU2h5fSgYkcaerGZNCiKCp3XzqC7Qda2FHdzrQ5iwnUlaPKkeNbQ9YQ5M5Ggp1NaBMyCDhaSJz7HTrXvBkel4lGC/aJF6KNT+811jyZvoIiGnsSFE2nNm4yf3p6Dw/ePIGsFAtJsTG0dLoZVZTMlNJ0tJrQea3YcoQDNZ3IskJLl4dP1lUxKDuOOKuBI41OBufG4+jx4/L2XRmXEm+KqBp6+4uDXD+vmOK8eL7aXovT5WdoQQLjilN55r293HbRUBraXIiigNcXpCgnjhEDk3jls3Luu3o0m/c1svtwG5YYHbPGZWPQadBrpX6/P2RZJS/FwncXDefFT8vC1u0Ds2L5zqJhGHUaclOtVJ+SRI0xaLhwWgGKHNLiDKgCOw600tXjIz/DjiVGizeoYtAIBPsvCux9/TUinqBKZ3f/bWmN7W60WjEaAIpyxnNaB4DWrFnD+PHjw8EfgDlz5vDzn/+c9evXs3Dhwj7X27FjBz09PcyZMyc8TafTMXPmTFasWPGfPuy/iSoIdLr8fLaxhk6njzFDkiktTEQvCv+Qkr1fgfuf3RiutAHo6vHxhzd3ct/Vo/n9XVN564tDrN/TgFYjMnN0FjPHZqHl35dkkwWBd1dVsnLLUQqzYinMskcEf05m6fpqpo/OZMOeRtodvYU4H333ML+47HtY6zbg2fsVqhzEOHAcvkHnsLLMTX66jcde2cY5Y7NQFJUb5hUjigIuTwCjXsvGvQ0U5ycQazXQ2OaiIMOOJAr85On13H7RcIYWJNDU7mZIXhzVDd1s2tfILQtKePLt3RHXfVhBPLPHZfPB6krmjM9lcF4CikGHPimb1qV/xjpyDvEzr0UN+JHMdtqWPYuv/iDJi+7F99WrfZ67a/86Ui75cUQAyDbjehybP4kI/oRRFRw7lrPXNR4IidN2u/3EWg389q0DxFpjufXcu+l0ejHa7DzxzgFMBi2ZSWYG58UxvjiVQFBh7a56Fp5VwJpdfWe1Ab7cVsvIQckcONLJjDFZfP+Pa/tsIfQHFfwBGZ3uzHEcivLtx+Hy4/HLfYqSfpPRHGsBC35LK/IUQeDNlQe5fE4Rj728NewKBLDnUBuzx2WzeEYha3c3cLSpm3XHhGL1OomfXjuGzfubWLHlKD6/TEp8DBdOG8DRpm4+XldFRpKZfZUnbJkdPT6mjsjggy1t3DlyLp41kZUB2oQM5J5OAm0hHTjV7ybx/O/gKt+A6+DmUKXnoHGYCsfQ8tEfSZh9I60fP4V11GzsEy9ElWVEayJra0UcbQFy0uyh5EMgiEYSiLMaGF+SytghKZiMGp79YB990dTuRqcNBf6OZ/OH5MYToxO5e9FwvAEFf1AmRq/BoBGRZQX1G/T3IaoqV88ZREl+PO+vrqSr28fg3DgunzUIu0kbdfI5TZEkgZqmHh5/fUfE9H2V7fz06Q08ettE8tNsJMXGYDJqSYoz8ZcP9uLyBI61f+WxaEYhXn+Qw/UO9le18+n66vA4VSMJ3HhBCSajhnHFqWBLIuGqR3GuexP/kb1IBjPmkXMwpObS/NavALAMm07X2rdRvC6sI2djn7gQVZZR5QDdO1cgSBoM2cV4j/S+10R9DKqiENkaJRBTOofdrTp0FhMXT9ey+1ALd10yHEVVuXvxCKobHfzlvT24vEHirAbmT8ljxugsGttd/PlYpUxt84kK8h0Vrfzk2jH9XldREAjICka9hoHZsQjA658fwBITStTFGLQMyo7lF3/dxB0XD2f9nkY+21Ad3v/cyXnYzHqyUiw88NdN3HHxMHLSbDS1u7Cadbz75SHuuqT0a1tDBVVl5IAEhtwxCfexyi6DVkICUBV+fM1ovtxey+ebjuLzBxk7JJWLzi4gRieiyCpBBP70zi4Wnl3IjooWXl9egaKo5GfYuHF+MclWA6IoIEmh75++glGiJOAJKKzcUsuYISkUZNgjHA5Ppig7NupUGyUKp3kAqKqqigsvvDBimtVqJTExkaqqvnVdjq8HkJeXFzE9Pz+fl156Ca/Xi8Hwzw/2+1PM/3uQVVizq4EXPy0LT9tR0UKsRc8jt07EpPv7ti0IAtX1jojgz8m8+GkZD900npsuKObiswsAMGrFkwZY/3oZR0CB372+g/KakNtYUpyRo/1YewLUNnczbWQmV8wZxOcbj5CXbqO53RXOfjh6/Ly5oZXSwvHYx43AZtZR59fw+DN70WpEfnzNaF76tJwP11Tx4ZrQb5yWYOLmhUN55MUtdDi9VNU7KB2YxJEmJxv2NDBnVBKPXpqNeGQ5BH3kFI4FMQaLScPY4hQS7EaeuHsqq3bUhVqm0qyML0ll96E2tJLE955Yjayo6DQij113AcaeTjpXvYZoMJE0/056ytajS8jA33IExd3/uaMqiPoYki++l0BnE15BjzZjEO6tH/W7itxWS2b6FCRR4Nq5Q3h1WTld3T5uuqCEJ5bs5M11DVxz/mAaWl2MGpRMjydASX58L2tNn1/G/jXuRh6/jKwozB6XjdsT7Fc/ymTQYNBp0Gj+/r+d46W+/blB/LP8K/fg6c5/6pqeLvy7z7/52DM0MdaIdJpoB4iSiObYIFdR1f/Z/fCf3K83qJIUF8OHqysjgj/HWbbpCA/eNJ4Eu5Glx7QtRFHglzeP58VPyiirPuGC2dTu5k/v7ObuS0t5+NaJ6LUiW8tCNs/zp+Sjqipnj0jFUGLCrE1AKplKz97V4fVt4+bjKlsf+oekIdjTSevHf8I0cAxx064AVcVdtZOmNx8BVUENBpBdXXSuXhLehr70XNYcHcSeQyHNjC+21fLgTePZ1t7Cp+trmD46k+c+2s+9V43u1apxMt1uP5v2hhyQdBqR8SWpHKjtojDDhkWSgBMB+m/qc3JicQojChNRAJ0kIglq6GP/G+Lic7o9Y/9dv/M/e94BhYgx7cl0OL1U1jsYmhfHw7eO543lB/lyW23E/Jc+LePScwbS2e0jP93GJ6fIFwRllT+/u4f7rx+LxxekudPLGyvqGJYzm+JZC3G4A+j1OpI+eyKsD6SxJoTbOTvXLOFUNPYk7JMuoulo2SlJOIH42Tfi3PbZiSkaHTEzbuaFVc0s3x56buRn2Lh14TC6eny4vX62lTezvaKVlHgTTref1k4PL3xSxkM3j+epPpzvIGQ+0NLpISUuhqYON0a9hvMm5jIoJ5ZAUMFk0JBmgfmDJcQjW0AFZeIo9reKPL20krHFKbR0ujlvYi7bypsjKuuOX9dF0wuZPS6Hr7bXYY7R8ZtXtjF6cApFOXHcvXgEoU+Ov33fGbUiRu2p2qsCEnDe+GzOHpmJqoacg49H7rR6iXV7m5g9IZen3t4V8b1SWefgz+/t4UdXjqaiqp2KI51kp1opLUwkRieGY2+iKNDU5eUnT2/A55exmvVcPH0Aj5zUQniceJuBvAw7ivK/eydGifJN4bQOADmdTqxWa6/pNpsNh6N3T+/J6+l0OvT6yI9eq9WKqqo4HI5/OgAkigKxsaZ/al0Iqeb39aLs7Pbx8mfl3H1pKUa99u/a1oENNf3Oa2xzoQqg12lISTD/s4f7tRw82hkO/kBIoDMz2dLv8qkJZvLSrGi1EhOHpdHa6SE71YLbG+TFT8tQVZU5E3J59KWt2C16blk4lKfe2EpQVlAUBUePj4XT8kmOM3Gk0YnJqMXp8vOHJTvpcHox6CTmT8nnt69tp8cT4KrpWUzS7sP91gfhY+jZ/hnazMFkzbqdnQ4FrSQiKyrZKRb8fpnKOgdpCWZQiRCP9gcV7n1xPzfNXsT4s2PobKjDp7OhzxmK3FFPUuFoBM3XCZMLqHKQ5rcfRZ82ANOs25BEEU1sCv6WI32uIcamYou1huw611VTWedAr5NIsyj84cos1JbDxDR4iDdksLSymSEDUnjls/Je2zlc18VV5w5mxZa+NSuGD0gkwR5DSryJmkZnn65gABeePYCkuJh/alBstRr/4XX641+9B78t/Duv6enIv+v8u/Y3I0kCman2CBe9bzqKO/Shozfq/if3w3/6PmztclOUExcWf+2Lw7VdTB2ZwZKVBwG4ZMYA3J5gRPDnZF797ACXzCxEI4mMGJSE0+VnQKadzzdWMiXZgfuTx2lVFWxjziPlkp8QdLahzxiIv/kIgnRsOCUHEfUxoARDFUC9jAEEBE3vd7hiz6Bj74nWhQ6nl+YON8MKEnh/1eHQe4dQS2JfrcnHscToOFTXRV66jevnFfPasnIO1HTwx3umkZ3ae7z0TeV0ONLT4Rn7n7gP/9Hzbu10f23yb391OyUFCbR2uvhqe99uqu+vOsxDt0zoU8T8OJv3N5FgNyDLMSw8q4C2Lg8767xkJFlIj9OjiUsl2BlqmZJ7OtHYkwl2Nfe5LV1SDoJGR+rlv6Bn/zr8LTVoY1MxjzqPTTUBcsdejXVEO6JGg0sXxzMr69lScWJblXUO/vzubi48ewB5abH4AipjhqRytKmbOJuBeJuBt784hNsXpKm9f+fasup2rjpvMH96Zzc/uHwk76+uDLv/3b2ggNQDXxLYt+rECruWMmTAOH508VwMtjgefnEL9141mgf+uqnP7X+0tpIJw1KZNCyVHref+64ZTWaShTibAa3m76/mdnkCOF1+grKCyagh7pS/EVsf63S7/Ow53Mrg3PheyerEWCPXnDeEHzy5FpfnRCufXivxy5snMDA7FlEU6HR6+f0bO8PPw4/WVHLLwqHctbiUN5ZX0NzhRhBC49iF0wqwm/XYbN/8+zZKlP80p3UA6JuIoqg4nf0/zL8OSRLZcUxzoC8272uk01GEV9u/w8FxRFEgOS6m3/lmozac1HA6Pf9WzR84Zula3R4xbc+hVi6Yks9nG6r7FCa9+rwiPH6ZHx+L5B8nJ9XKAzeOQ6eVOFzXyT2XjyDeamDJioPEGLUMzovnvAm5OFw+Yq1GHnt5K5fPHkS7w8MXW2vRSAIzRmdxwVn5PPHGTno8AYx6DVMH6Og5KfhznEBtGXL1NnZVpfC7YyXL+ek2Fp8zkM37GrGadH0GUnx+mSc/qsR5XhF5aQMpr/ewt9LPgrFDMOpU4nRBdMk5+Jtreq0bM3As7qpdoe00HEJ+9xES5n0Xy9CzcFds7rU8gH3cfHav6mLt7jKCsoIoCjx4RRGa1X/GU38AAC+AqOHG2XfSabHy0qe9RUc7u30oaqjk9rgQ43G0GpG5k/No63JTXt3Biq1HufvSEbzzxSH2VYV+X51G5NwJuUwZnk5Pj/cfKtOXJBGr1RjxN/ivDlb/lXvw20Bf1/RM4t99/oeOdBBnMeB29a8r8E1DlEQ0x3TUurrcdHb2bw/cH9/0+1AjCJhj/kYyRABUleK8eNbsrGdkUfLXvmOtJh1ZKaEkhd2sx6CVWLaxhqvPSsPz6S/CIv2OzR/j2PwJpiGTCHS10LP3K+LOugL3oW0ABNrq0Kfm42vsHZwy5pfiPRqZ5BF0Rryx+dS17I+Y3tLpxhyjw6jX4D+mWbFpXyNzxufwwere2463GUhPMvPdRcPpcQeoqusMB7s+XlfFFbMKo06N/wb+W8/Yf0fg5t95H/6z5y3LKnaznq6evt3xMhLNtHS4ae5w9ys/4PXLCEIokdgfLR1uYi0G7FYDj720NUI7Z3RRMveccyHeytCYrnvPl9hGn0v7ihd6bUfQ6tHFp9Hyzq9JnPddzCVTCTqL6bHnc9tzu8PHkJ5o5kdXjeTO363u87gr6x3he/fD1ZUcPckty6CTuPvSEUiiiMmg6Vfnx2bWkWQ38uBN4/m/d3ZTWR8aoyXYDQyIceBevarXOoFDmygaMpHfr+lEFISv1cTx+mUCAYVrzhuCVhIQCQWZe75mnZMRRYFur8xzH+2jINNOYVYsrV0eUuJjSI0zYdSFtEx9AQVVDVXLa0QBVVUJqiop8SbKj/QOyM+fks/zH++PCP4A+AIyj7y4hd98ZxJ6SaDLHaC+9URCsqHNxY6KFrJTLCyaPgCTUYcoCtS3dhNr1qMV1H/4fRhNKEb5NnJaB4CsVivd3b2zCg6HA5utr3jzifX8fj8+ny+iCsjpdCIIwteu+/fwzwg2H8cX6F+YTFFD5fwnb1+SRERRQJaVXh/exXnxaDVinyKg86bkYTym1isfs4z9ewj14oqhh/fXrKMoArGWyCoqRYUP11Zy1+IRPPPB3rBgnFYjcuHZA9BqJO7/y4Zemc2aRicfrank6vOH0O7w8fxHZei0EmeNzGDC0FRMRi21LT1UHGlnxMBkWjo9PPnWbuZNyeOG+cWh39SsQwACxwbRM8dkoR74qt/jd21fytCS2/hye+jflfUOfvvqdn563VgsMdqwXWlfNLa5GDEomV/8dRPzJufz9LIaDtR08viNQ8mccS3tX76M/6QPA2PucOwTF9L48k/D04LOVmRnK976CuJn3UDHV6+h+kMZEkFnJH7G1QSNcUwuNTOmOAWdRkKVA9iOrMB3LPhz4sIH8S57goxrHseo1/TZPvDXD/fxq9smhgco/oBMu8PLkLx43vj8AMX5CeSk2XD0+PnNq9s5b2IuF5yVTyCoIAoCB492sXpnHTaTnuEDEhD/wR7rf+Rv8O/h37mt05V/9zU93fh3nf/Rlh7irXrk0+rDWUGrDb3efX75f/Z38J/eb3JsDMMLE9lZ0drn/GEDEvneE6u575qxNLW7aWpzYTP1bndNSzBx3bwhHGns5r2vDjNnfA5Pv7+He68azbrdDZj8bQQCp34QqZgGjKJ16dOofg+Kz0VM4RjcB7fQteF9ki/8Ph1fvRoWeQYw5A4ldtJFNC55KDxNssShm3UXj33au/IhwW5ElkMOnnptKKAXo9cwuiiZDoeXtbvrwx+e6YlmbrygmF+9uJXmDje3XzSMT9bXhLdV29yN368gRPUv/m2cLs/Yf/cx/j3nLUkhVycVFY0kcuk5hfz5vd7VOxpJYFRRMut215P6N6rRlWOC7h1lfQcn8tJtFOXG8vhr2yMCKol2I+dPzqNDAvvsW3F88QL+5hpUOYhtzPk4ti0LB3cls52EWTfSue4dZFcX7Z//Ffuki+lcswT7gnsZkGFj/pR8rCYdDa0uHD3+r9XMNOgk3lheERH8gVDg5Q9v7uTeq0Zz/qQ83jxWpXgyOo1IToqVzh4voiCGgz8AU4oTEcs/7ne/rm2fMij1InYflDEZvj5QbtBLiIqCrMA/Io0sigI+WeWnf9nAdXOHsGpHHUtWnDiP7BQLP7xqFG+vPMi63Q0EZZXBuXHcMK+YWJMWjSgwJC8ez4Hee02Oi+nXXr6rx0dXj594k7bP9/IHqysZNiCRWeOyibXqMegkctMsaAF/P5WTUaKcaZzWAaC8vLxeWj/d3d20trb20vc5dT2A6upqBg0aFJ5eVVVFWlrav6T/868QDCoMH5DIy/SuLgEoyolFpxFBURFEAW9QZVdFM80dbobkxpGdYkUnEg4EGSSBn98wjodf2BLx0T9haCpnj8xE+Qc+aARBIADUNnWzt7KdpFgjpYVJ6Pux5Tgu4qbTiBGizzsrWulxB/j+5SOBYy8Qf5CN+5o40ujE28/Def2eRmaOzSY90RRyN/EEeO+rwxHLGPUarpg9mHMn5DCuOJVVO+p46IUtiAJMGp7OzDFZ3HbRMH769AbGFiWi7undxhQ+fp8b4yl6S76AzLrd9Zw7IaffNiiAjCQLuw62MLwwEX9AxqgP3WY/e6WMZ+4cRew5NyIGvSh+D5I5DsXrovGV+8O96ccJtDfgqz9IoL2BxPNvD/8Oqqrgaz5CVYOLJ9/Zz5TSdOwWAxPy9fiWfdHPCcl4avZx4bQCXl12oNfsRLsxXIG2pawJrUbk7FGZxBg0LD5nIIqiYjWFWthcngBvnTJYWTyzkG3lLZTXdHDZrIHMHJURzTRHOe1RVZX6lh5GnWYOYHDCBv7b6gIGoBVUrps7hHuPrOuVQT93Qg5l1R187/JR7Kts45aFJVTWO4izGdBrpXCyxWrScdOCEn7/xg4cPaFn8Dljs2lqd7N6Zx3ZqVZUX+/KSQBEMRyYb//iZeLOvhLToHG4D24l6HJgHjad2MmLUHweRL0RX8NhuveuImn+nQAIkhYpxsqhNpXK+sh9DM6No6XTjcWoY+yQFHYfasUSo2X2hFxqGhyMHpzMgmkF4baLlg43T729i3aHl/Mn5dLt9kckKvLSbGgkATkYfS5H+c+iCAJ7q9p5+4tDtHZ5yEuzcuWcIm5eUBLRwmXQSdx39Wh0koDJoMXjC4kTdzh7B3gKs2Ipq2pnzvgctpc39xp2GvUahhcm4nT5w/fxcS6ZWcjS9VUsOKuA9yqszDr3F6Sb/Ii+bvRpAzAPO5tAWx2CpEXxuuhYs4RAayggG+hoQNQbEfVGNJ52vjs3jx89v5eWLg95aTaGDkhg+uhMvtjad+tajEHL1rKmPue5vUG6enxMH51JVb2DreXNJ62n4TuLhuPyBinMtFNxtDNyuzoBuvpPRCo+N5OHJlM8KBOzUdvvdR2UFYtJJ/1D9nqCIBAEmjo9NLa7Kciwc+BIZ1g37TiXzRrEL57dFNHeVVbdwQ+fWsfv7pyMRS+RmWRGI4ksXR+p6/S3Ei4+vwwmLTFGDXaLPuwsd5y9lW3E6CUunl7Ihj2NuDwBLpiaR1T5J0qUEKd1AGjKlCk8/fTTEVpAy5YtQxRFJk6c2O96I0aMwGw289lnn4UDQIFAgOXLlzNlypT/yrH3hzVGy6Rhaazb3RAxXSOJ3DCvGAlQRYGjrS5++fyWsMPLB6srSYoNlYnqj2msKYpKepyRJ+6aQmO7mx6Pn6xkKya9hKAoIP69gtIhR7Gf/3VjRK+yJAr85Nox5CabUft4eeil0PzfvbEDlycYPtZAUEFWVKrquyjIsPOnd/YQY9CQ8jUta7Ki4vIESbTHoJHE8LYyky3MmZBDrEWPJUaHoiqcPSqLXz6/KWIQ8NmGGraXN/PwrRP43Z1T8PiDBDNHwcHeQnEAmuxh7D7au0z0UG0XB450cuk5A/nNq9t7zTcZNKQlmvjd6zv44ZWjeHPlQWaOyWJnRSs3zM5FdbYQdDQixpjRJWbR9OYjyP30oGsTM5H3fIm/qRpvzV4Qjv1eqkLypT+nyCzx1M1D2Ffn4YNNTYzNSkftlaU+QdDZxqgh40lPCmXZBAS2HWhm494G7rl8JPf9aV3YOhjg/VWVbN7XxJVziuj2+ElNMJEcF9Or+ik5LoaCTHs48/POF4eYMjw9agcf5bSns9uHxy+TaD/9NANEUUAUhG+tCxiEPhIsOonH75zCF1tr2VHRgtWkY/6UfJJijTR1uMMacMnxJuxmPe+vOsx3LhnOH5bsJBBUOGdsNh+sPhxR0bC/qp1FMwrJSbEyaVgMcVonfTeOCQgaXSh4r6p4qnahS8lFn1WEqDPQsfKFkBW8IEYIyXbvWI4xvxRD5mDUgJeUxHwyk83UNvcgiQLjh6YybWQmoiBQWdvJOWOzeX35AX5+wzgef217RDXB2CHJLJ45iG6Xn4XTBlCYaWdLWRMvLz2RSNJIArPHZyN/i4OBUb4ZqILAR+uq+WjtieRseU0nP/7zBn501Sj+8qOzOVTXhcmoJS3ehE4SCAZkhuQl8KuXtnDHxcN4/PUdEa0/CXYD154/mEdf3srA7Di+d9lIXlt2gMb20BitIMPOLQtLMMdoewWCNZJwzNY8h188uwmvX8bpUbhr4QB8u/cSdLYSUzialg+e6NtxFVDlAOaSaXTvWok+YxD3LCzhvhf2U17TwU+f3sD3Lh3BkcZuDtd1Raw3ODcOtzfwtbGVQFChw+Fl/tQ85kzIoaHNhdmoRa+TqKjp4Jyx2dzxmy+5/4bxEevtOdLDxMIR0HC4z+1KOSNQ9SYSYyTqWnq49+rRPPDsxl6VUTdfOJSmTg/xNsPfdBoWJBFvQCEoy1Q3OjlU24XLE2Dy8HT+dIqQdVayhZZOd59GNEFZYcmKg9wwdzAaVSU1PoabF5TwzAd7w9VUKmq/FeuiKIRdOQ2SyK0LhvKrl0+M5TOTLdwwv5htZc08/voOjHoNZ43IoK7VRVaSGb7F78QoUf5eTusA0OLFi3nllVe4/fbbufnmm2lububXv/41ixcvJjk5Obzc1VdfTUNDQ9jiXa/Xc/PNN/Pkk08SFxdHYWEhb7zxBl1dXVx//fX/q9MBQjao15xbxMhBSby/upJul5+S/AQunj4As15CUVQCKjzy0tZeA/uWTg/PfriP2xcODb/IVEVFK0B2YgyCYAo93P/BEnBVEHnh0329hOpkReVXL23lyXvO6vNjX1Eh3mbku4uGo9dpQoGboIwkhdrSmtrdbNnfzJVzirCbdZhjdH1WpwDEWQ24fQF6Gv2U5Mez82ArU0rTGVWUzJLlFTS0uRAFuGTmQPwBuVcG6Pj12VreQmlhAvigKyYba2wKwc7I7Iyg1SMMm8sXz/U+ljirgaZ2F3npNm6YX8xryw6EX1DpiWaunzeEl5eW4/YGeeKNnfzwylEYdBJ3XjiIcSl+FGcLrkNbUIMBYgrHkDzvOzS982sUd2T2VzSa0afkoo1PR+4+1h997De1lM5AdrbS9sYDAGSlDeDOc66mwREgJSGDQFtdn9fQkDWE8oYuXltWQbvDi0YSmDw8nce/O4VP1ldFBH+O09Dmot3hZfnmIwzJjeeXN41n5bZavjrm0jG+JJXSgUk8+dau8Dr+oEK3O0C86e8TK48S5ZtKXWvoAyPhNLOAP45GI3yrK4AglOjQCXD+hGxmjc1EFEREVHr8MmXVHeGsd6fTy64KJ2eNzOTzTTXce9VonC4fAzJjyc+wMXl4qPpg96FWUuJicLj9PP3+Hu5ZUICsb8dcPIWefWsi9u2u2Ix56DT8TVXETrkEd+VOfLUVSNY4DGmF6DMH4y7f0OeHpSG9EGP2EJre+hX6wrH87LorcXkCBIIKiqpiNenRagTyUswoKvzw8pG8seJgr1aSzfub2VrewgM3juPlY++ck12U4m0G7lpcikkn9ZmoiRLl34kvqEQYZJzMsx/s49HbJlJ8zIpbVTnxNynAOeOyeXlpOXdeUhoy3WhwkJlsRq+VcLj8zJ+Sz5fbavlsYzU3zB9CvM1IIKhQ29zNwaNdDB2QQGp8pF6LQadBVaG6IVRhfsXsQcwuMePdt4rA0f1IMVa09qReQdowgohktKAGfLgObMJ1YBP6tEJ+sPBqHnyjAoCXlpbxnYuH8+Bzm8LBntKBicydlEeH0/u1+kfZKRZe/7wcm9nA1NIMICQAP3xAIgXpNh5+cSuSRkKvk0iJjwmPw/dUduCbPgrNvuXIrq6IbYpGM3EjZ+Ii9M2Qm2xGEAR+d+dUqhoc1Lf2HHO1FHnkhS20doUCQA/cOB6zTuwVBBIEgYAKr3xazvo9DSiKSnJcDJeeMxCNRkQjir0CNXnpNvZX9S22D7D7cBsBOfR9IqEyfkgywwoS2FPZhtsbJDslVDX2zAe92wYvmJIf7j6QZYUBGVZ+fcck3jj2LXDbhUN5+IUtEWPaw3VdjBiYxM0LSoiOTKNEOc0DQDabjZdeeolf/vKX3H777ZhMJi666CLuvvvuiOUURUGWI1uLbrzxRlRV5fnnn6ejo4OioiKee+45MjMz/5un0CeiqjKiIIHi3HgUVUUniaiKgqqoCIJAbXN3vw4gOypa8AZkDKfYFatqqJ3hn8EXlNmyv+8S1kBQobrBSVGmLeKloYgCL35Szro9JyqZ4qwG7r60lA/XVLJlf1P4RXm8tPXpe89mcG5cnw4tF04r4PNNR7hwWgF3XDSMlVuPkpNm49GXt4bjWYoaqkra3M+xAhw80sHIgUmYjFoef7+OO8+7B1PVStx7V6EGA+hzS7FMuYxfvlPT5zU+f2IuWq2IgMCmvY1877IR2Ew6zDFa6lp6eOaDvTS1h1wHigviae3y8OKn+3jmzlEE6g+AEkRjTaBn31q8R/ahjU8n+cIf0Prx/yGZbQQdIS2LpHnfIejsIG7qZSjj3fTsX4cgaTAXT8VzdB9tn/45fEz+hkMIH/6SjEseRR13GYFPft3ruDUJGQRMyfzxr9vC04Kyylfb6zja1M35k/OAmj6v2Y6KFgblxLJ5fxOzRmcyY1Qmo4uS8Qdl/AGFJcsrepUW66IWm1G+BdS39qDTiNhMX+fg981FI4oEzpBspxxUQuX9qoJCSFtu58EWRFFgdFEyCXYjBp3Elv1NLDxrAA2t3WSlWPnJ0+sjEgY3XVBMfZuLD1ZXcvnZWSQd/gifVoN56FS0cam4q0KZbkGjJWbAKLQJ6cguJ12bPsRUMAJdfDreugqaljxMyiX34a7YEtYXOY4YYyVm4Fia334MxdONrLchqqEPyXHFqYwpSg5lqRUV+diL0q/CV9v7Du4risrBo10MK0wk0Wbg4Vsm0OMOIAgCZqMGvSScZhpWUU5HBEGgrrW73xxjh9OL2xdEo+/tLiUQcs666twidh9qY8LQVD5cW8mq7bV0Hmvvyc+wMX10FnqdRFJcDD/4wxq8AYXF5wzEZtLx8PNbmFKazuii5HA7ldsbIDHWyJayJiYNS2PecAtyey1arQZ3RwPe2jIEvRHriHNwblva67gspTNRggFalz4dnuZvOEhKSUu4Irrd4cVm1vHHe6bR5vCgKCpl1R2s3HKUS2cN5NJZA/nzu3t6bbs4Lx6fX2ZHRRsAq3bUkZ1iJTU+hslD0/AFFGoandjMOupaurn1wmE88/7esOjxo+9W8dBlP0Pd/RHu8vWgQsygcWhGLeBwl0SsBSRBQBIF5KCCVoDCTDv7qto4WNtJbXMPrV3HWlgdXh59eSv3Xzem14dhAHjguc0RYsvNHW6eWLKTn147Bn9QJt5miBDo9viCYdmAvrDG6BAEgeN+7kpQwSAJjC9KRqMJiY0btSJxVj2vLjtAXUsPSbFGLplRyLCChMiWNUUl0aLnOxcNxRdUee3zA30mNHdUtNDu8JJq1/+jefAoUb51nNYBIID8/HxefPHFr13mlVde6TVNEARuvvlmbr755v/Qkf1ryLKCBEgCqMqJAbwgQI+nfxcwVYWArGCQ/n77xr9FUFa/toS12+WPeJBLGpFP1tVEBH8g9PL/9SvbuO2iYWzad0rVzTG3lu9dOoI3Vx5k9Y46/EGFRLuRhdMKaOn0UNPgJDvZgqAozBidxW9e3d7rIR4IKuh1fZ97cV48k4dn8JOn12M26rjw7AL+8MlhLp05B33KVDSiwLrqHrT7vRTlJVJR6whvXxRg8TmDsFv0WGK01Le6OGdMNuk2EFzNqGV7GWiM4XfXDqMjoMcla9i4t5E/vbObX145GN/BLTi3f4bs6cGQNZjkC39A1/p3UPweBFEi9qxLCLTUokvJQWtPpv2Ll/Ee2Yc+rYD4WTeieLrRpebTc2AD3Vt7D1LUgA957+eU2yYx5Nx7CG58PWR3KmowFk3ANmkxP3xxf6/1ICRwHaPXEGPQ4O7DicKgkwgEFRw9Purb3Tz0wpawgLfVpOOa8wcTbzewYU/IXjUz2UKMQfMPV5pFifJNo7a1hwS78djz7fRDkoQ+HRe/7YiigIhAkt3IlbOL2FLWxF8/3McVcwYRY9Dwy+c28eBNE/jze3uYWppBjFHLkUYnW/Y3kRgbw/Mfh1y6xheY8b+zAdv5t9G18UNiJyxEMscSdLSiTy9EMtmQPS5QFQypeTi2fIIS8BGTO4ykBXfh3L2K1Mt/TvuKF/A3VQECxrzh2CcsoOXd34YtqMXc0fgDMrdeOAytQJ8tCoqifm07n88f5Oo5g1ACMlog9iSHtGjwJ8p/BzUsVt4fktj3s1SvCVWRPPTCFobkxjM4Nw6PLxgO/kAoQFRZ5yApNhTM9QYUxgxJQQA+21jDgrPysVv0TBqeTlqimW63nzGDUxAFuGBcMgneWto/+h1BRyu6xBySLrgbf8sR2le8QMKcG4mbdgVdmz5A8fQgGkxYR87BkDUY1e8haf5dCIKA69A2evatQVu5jhEF5/DZllBFji8gs2pHPR1OL2OGJJOXbsPrD/Lj/1vPz64by8O3TGBvZRsrthylxx1g2qgMzp+Ux31/Wnfi6qkh0xNRFFAASQyNjR09fqwmPX98cyeLphcSZzPg8gSwmnSsOuTAL05h9pUX0tjmohU95oCJDXsaWb+nAVVVmVKazrnjczBqRVx+hYFZsQzOicdq1qHXSjz/yX4O1HRS19KD2ydjPSlAJwgCDa2uiODPyby0tJy7Ly3lgqn5PPfRiTHmroOtfP+KkazYcrTP9eZOzuszMC3LCsdft5IARZl2fn7dWFRCQUK9RuhTgFxVVQj91+v74mTW7a7nshkDomLQUc54TvsA0JmGoqjkpvXvUjY4Nw6LUYtGCA36/tmqn5MxaCWSYo209NHLCzAgyx5hCeoNKCzdUN3nst3uAD3uQC9BupGDktBJIoKqcMmMQsYOSfl/9s4zOo7ybMPXzPai3nu3LMmyZcuWe8MFjCsYU0wvoSeQQL4ECAkkhDSSUJJACL33YgzY4IJ7t2RLLuq995W27858P1Zaey3JkIRik73OSTjenZ2dGe3MvHO/z3PfON0S/RYnn+2ppbrJxC+vL0Cj8PQouyWZ0vruIevfXdLMvEmJQ+LMBQEumpfBb5/fi9Ml0dFjY1tRE7euymPn4aYhhtILChL55fVTaGjrw6hTExygYfuhJu56bCuP3zWHxvZ+pqbrsW95HlvFfp/PBs29EjFxKi63xG1LUgg69Bqd1YXe9y2le7BWHCTq4p8jyzLNbzyEbD/JW8kYTMSS22nvbMDeVIGlfD+S3QJuF/a64Q3CAWg+RnrmfJ7ZInL7yvsRXXY6+50oQ8MobrFQ2zx8ogJ4Wr0iQ/TUNA81O506NoZ/fVDCjy+bwO9f2ucVfwBMZgd/e6uIX/1gKgeOt6FRKfjpFfmohvcG9+PnrKK+tZ+I4LOz/Qs83nHf9xawUxEEAYtL4u9vH+L2i/PYsLeOzl4bOo2CY9Vd5GdFsXh6Cm5JZtW8DDbtr6en305Wcii/umEKDqcbl9szkSBaunADgsZA4ISFtLz1sI9ZvzIokujLfkHbh4/5JDv2H9mGueIAURfehWS3EjhhIQqdJ17e2d2C5HIgqDWAgHbu9bi0wfzxlQP8/KqJqBTDPyCrlSKJ0QHUtQx/HZ8wOgrZdeY/1CiVnlhoUfCnNZ5NKJUeNeJ08e+y7PEE1KgVw1ZQp8UHoVMrhp0cEmSJ65bkUNfSR3FlBy1dZm5bOY6/vH7QZ8xh0Kn4vysn8udXPXHu5+QnsP1QIxfPG8XLnx6jtcuCUoQHb5rGgWOt/PX1g8wfH8mq6Grat7/lXY+troTmV0uIWH4HQdNW0vHp04QvuY2IpT9EaQxBUGlwmXsxH9lG/+EvkN1OEJUYc2YQueJO+o7swD0wX5aREIxOreTjHVW43DLbihq9+/vTKzwtmUdruggyaLj5wrEkRgXgcrv58V+3+ISkDDJrfBzHajrJS49gQmYkB463sfdICwXZ0Tz53mFEAVSqE8f4hxfn8fBbFVQ09PCzqyby/NqjlNaeGB9/uLWKbUVNPHzLdHYWNxEVamDDfs91MT0+mJsvGMva7VVs2FeP3elCaVQjSTICHjH9SFXniH/z+tY++i1OclLCuH5ZDm98XobZ6sTudNPaaeaq87N8/MjAM94vyI467W9pkMHJ8EFcI5jYK1UikgRapYBSITDSpdCTYvylX+vHz/cevwB0FmLQKJmWG8PO4mbva0adiptXjsXlkvj7u4dRqxQsmppMbJj+347kPhWNUuCGZWN4+MWhhsn5oyMJ0Kl8buhOtzRimhdAR4+VQIPaKwCFBmq5bukYhIGecAUyiVEBNLb3U9XVy8LJiYxJDUer9DWoCzIOdf6vbekjyKhhXHo4hyo6vK/npodTXNHh8zC090gL1U293Lg8F/BUriwoSCQiWEenycZLHx8lwKBmbn48Dz6zG73WkzKhVSto77ZgLT+C4xTxB6B388tEXD2G+Agj+fF2OrcUDllGdjvp2fk+uuRcH/EHwN3fQ9fmVwmatISuza/QX/wFQQVLkSUXwTNWgeTG2dmAqWgjbtOJfVQYgtG37OfGKSnICg1//bCSjh4bP1kdRkSIwcc8+1QiQ3TERBiGCEBzJsSDLJCVHIoAdJmG9rFLMmw+UM9vbppGkF6FVil+pRu7Hz9nMi63RHOXhezkkO96U/5jFOL32wR6ONzAB19UcvmiLDbtr6ehtY/FM1LptzrZvL+erYWNXDIvg62FjXx8UvJMXUsfWw428PCtngAJp0tC0Hj8RESNntZ3/zQkqVGW3NibKnzEH+97dgt9hzZhzJ1L99Y3PGbQAwhqHdGrH8DkFHGpg3h9QyX1rX0UlbUzMzd6WGFEJcIPlo/hl0/vGvIAk5UcSlig5muZ8PmmEBWe5NLNBxooqewkKkzPeVOSCdQp/bMFZzCiKGBzy2wtbOJQeTsRoXoWTUkiUKdCGOb3plEI/PTyfB5+cZ/PeM2oU/Gji8czQnAssgxqER6+ZRomiwObw41SFPjTD2dS0dhDRX0P0WEGEqMCUCpExo2KoHmXGYUocM7EBB56bo93vbPzE9ha2Mj63bUALC+IoPf1Pw27f10bXiT6svvp3fUerq5mTPs/RRBFws+/hf7iL+g/tOnEwpKL/uIvkOwWtJNWsP/FGgL0Km5ZOY6OHisut6cCKisllEC9inMmJfK7F/ed5I/jEbeWzEhh2cxUJmZF+YzjwVOpHhqg5VBFBxNHRXDDsjFUN+3k0101XLc0h9tXjeOjbVV09FjJSA1j6cxUdpe0UNHQQ2ZSCMkxgcNW/HWZbGzaX09kqI5HXj0RYFLX0sfWwkYevHEKkSF6FKLIS+tK6ey1Mj4zkmm5MUSEjByCoNMo6TXb+eXTu1i9MJO/3jmLzl4b/VYnpbXd2J0ufnn9ZI7VdOFwupk+NpbQAA2i9DXdlwSBfrubz7ZX09jWz+jkEH590zSeXVPiI4INMisvDtdZIJT78fNN4xeAzkJE2RN9mxoXxIdbK+mzOPnpFRN5dk2Jj0HkruJmZo2P48rzRqP4LwaGLpdEWmwgD9wwhefXHqG2pQ+DTsXSmSnMn5g45EKuUogEGtQ+szYnk5MahijgEUiyIslJCfOJr5dlGSWQEmUkPTbQU/HjlrxmgYIgoFcrWDErjRc+Pupdr0alYEZeLBabk1suGktPv4NPd1SjVIgsmJLIOxuHpiXY7C4MOhUP3zIdGZk3PiulpKqT6DADS2emkhYXxJPvHObqxdlEh+k5XN7BO5sruKAgAudHTw1Zn3e9hzcydcZVOA+8N/IytSUE5p974gVBRB2RAIKAo70eVXgcAJLDhiYuA3t7AyAjiCKa2HSi0iZgPrqD3j1rADDmzqZr40u4zb1EXv4g1yzOxmJ38+Azu8kbFcHMvNhhPSQ0agVhQTouW5DJjLGx7DnSgkqpYN7EBOwOFzuKm5mSG4MoCsSEG2juGJqOVttswqgd9Jr433rg9PP9pKnDjCTJZ2UC2CAKhfA/4wE0iEuSmZQTzYP/2o3d6ebuK/J5Zd1xyga85hSiwPnTkn3En0FsDje1zSbS44OpaOihyawgJiIRd1/nEKEeQBufiaV86CTAIJbKQoKnXuAj/gDIDiuW6kMUiRN4/pM93sSj4XwrBhEEgfhwA7+9eRrPrjlCZWMvOo2S86cls2hKMuIICUZnAqIo0GNxcc8/dviYxa7bVcudl45nbGqoXwQ6AxEEgT67m5//Y4dPKtdnu2u5deVYJo6KGFLNI0syaTEBPHHXHLYWNVLf2sfY9HDyMiLQKk6fMuUWBLYcqGfNtipMZgdZyaFcvTib0ppuKht72V3cQlu3hYSoAJbOSMEyPo7gQA3vbCz3+flMGRPDHwZSofRaJTpbB9YRzg+3uQe3xYQmLgN9ZgH6zMlIFhOCQomrZ/jsP0vZXgJnXcbyWankZ0VxrLqT6DAjF52TQWZSCIWlbWSnhPHOpvJhU6zWbq9mbn4C+VmRzMiLY9/RFtySTP7oKGwOF397u4ibLhiL2y2jUwr87tbpHK3u5MCxNkYlBnPfNQXUt/VzrKaLJ989TKBRza9umEJnr5V3NlUwKTuKy88bzdsby3w8NZs7+pmSG83vbp1Ol8nGK58eo7nTgsst8c/3i7lxRS53P77Nu3xhWTtrt1fx4A+mDlTVDP3bzZuUwJ6SFladk8E5ExMQJYmIYC3bihr5dFcNsgwf76hhTGoo1y7OIcSoQvqaWlIFUaC0oZc/vrzf+/cvLGvnvS8q+b8rJvLMhyXepDiA+QWJhBjVZ7RQ7sfPt4VfADpLESWJBRPjmZkXh1IhsGl//ZB0EICthY0snJxEXIjuv7roCbJMcqSBX1xTgFuWEQVPz/ZwsbJapcilC0bx9AclQ96LDtMTHaYfSCXwtKm53RLDTQZIkowknVDqRVHAIUFjWz81zSYmZkVxtKaLvUdaGJ0cwmULR7Nhbx1vbyxn3a4als1MY15BInqNknc3lRMT7psOMXt8HDPy4nhnUxk1zX1EhOhYNDWZ7JQw3txQxtPvF7NqXgZXLBrNxv31vHiS2DQ+XkWMdeSWKre5m64uM+GqEdpHRAUKY6g32j1gwkIMGZOwN1cgSxIhsy8baBkQ0KdNwG3tA4eFjo0vINk8NzRlSAwRS27F1deJwhCMq7vFmwbRu+lFwpb/jN+/VEh3n51tRU3cc/UkGtr6Ka/v8W6GRq3g/usm09tvo6LBRm5aGBmJmZgtbn71r52YzJ5B34a9dQQbNfx49QT++trBIYkWMeEGbE43GqXI2emW4sePLw0DngdnswD0v9gCJsnwwtqj2J1u0uKCaOuyeMUf8FR6nnwNPJUXPz7GQzdP49fP7uaZzxt58NLbkTqPozAEIcuyT2KjLLkQNYYR1yUq1bitw3tnOOqPkjplpk+1z4RRkUMEdFEpYra7aevox2x1kJEQzL1XT/K040gSalFAOsNFPpcMT7xVNOzD8N/ePsQTd81B488NOOOQBHjy3cM+4s8gT71fzN/vnjvs302WZHQKgSVTkkDw/Nvlkk4r/kiCwN/fOURhWbv3taPVXdzz9+389IqJ7D3awuScGMZlhFNW30OnycbKuRkoRIGqxl6CjB7D4d5+B2637BUrtGolCvXpTfxFnRHj2LlYq4uxlO8jcPwC7C1VGDImog6Pw3Rg/dAPWXqZMS4VGZiUFYXdJdFvcfDb5/cCMC4jgpLKkVunDpW3M35UBP98v5jYCCNqpcgr646RnRzKynMyyBsV7r0WqIAJ6eFMyozw+Hw63SRHGYkK1TE2PQyjXs0v/7nLR0BWK0V+vHoCdoebysZefnFtAQBPf1BMW5eVpOgAfnTJeKqbTDz9QTF1LX0+f2eNSsHVi7MJCdTQ3mPl51dP4g8v7fe5n4xND2fZzDRkWUarFLzPA6Iks3JOGkump9DUYUanURIepPVYOHxd4o8ADrfMo28UDtGO7Q43z310hB9dksfLnx7DoFOxZHoKceGG/7ojwo+f7wt+Aegsxu2SUOExaf5sBKM1gHW7arhxWQ4u539X9ihJsteYevD7h90ut0RBVhQWm4t3NpV728FyUkP54ao81ILnBvbvIAgCZqfEL5/e5U0aeHX9ca5enM3qhZ7o9188tdPbT91lsvHE20VMGRPDhXPSKKvv4dypyXy6sxqXWyYjIZixGRE8/MJe7wRWl8lGaW03F52TwewJ8Ww52MCOQ02kxgWx65Qy3aONVhLjs7FX7B12exUpE3G6QZM2Eba8dtIbSkKmX4Q6OgV3fzeCIBBz5W+wNZbT8uZvfdYRkDef8GU/RBs7CtlpQ7KZ0SZkYak4CLKEq7uZljd+S9x1f8C0/xO6t53ob7c3V+LoMvGzqybxs79tw+Zw88irB7jq/CxWzRtFW5eFQIPH22hXcRPJMUEoRIEfP7qVh2+ZzoPP7B4yWO/pt/Pa+uOcPz2Z19aXnvS3gXMmJtDT78CgUXpMTP34Ocupb+snaMAk82zlf6kFTBAFHG4Zq93pNSydkhvD9kO+YQRatQLtCEEB4LnOqZQid142gY5uK91ukdDksYSIShBFFMYQ+oo2Yinbi7WmhIglt9F/ePOw6zJkT0dQqVBFJOBsr/d5Tw6IZOeRNq5flsM/3j1M3qhwRIVAS6+dsEDPw5JNktlxsJE9JS2olCIz8uIoqepClmRmjo/DbnWcFT46toGH0OFwuSUa2vpIjwn0z8yfYdicEkdrho/yliSZioYecpNDRhR2/p1xXne/w0f88X6PDG9uKOP2VXlsK2rk18/u8b732vpS/nD7dO64dLy3MjksSItWrSQ3NZhrz0kgQu9GY9AjqLXIDt+0Un1mAYETzsPV3YJCa0QVEIazs4H2tX8naOoFODsb0adNwFy2D3ffKcdBcuHo60E0BHKsuofwYB3rBlrOvgput8TaHdWcNzWZxOgAevrsnD8tmbU7qtl3tJWWTjPLZ6YRqFd6485PDjMWZBm9UkQTZuA3p0SeAzhcEk++e5gfrBhDT5+dmmYTr6w77n2/y2SjqLyduy/PZ/6kBDbsq/eGHYgC3HV5Ph9sqSA9PhitRsnx2i5+ftUkWrst9A1UZ8WE6VEMVFa5T/HmESQZrUIgLdp4Iqn3P6jyEwRQKhUDn5eQZI/w09JpQZYZ0W6isb0fg1bJ3ZeNRxQEZOnr8UT14+f7gl8A+h4gy6c3U/Qo9t/uhU+UZRbkxzNjXCwWmwu1SoFOLSLK8n90E3ADf3ntoE/MpMst8+yaI1yzOJsDpa3DmuntLmnmgjlp3LJyLB9tq+LOyybw9PvFLJ6ewosfHx3WDO79Lyq479oCthxsYFJ21LCtAuv3t7Do2hVQfRCvE+AAioAwbKEZ3PP3Hdy+fBQTZ11K79Y3QBCJXH4HfUUb6d76xoljpQsgYsmtqKNTcLSc+K6+og3oknNp//Qp7LUlCGodAXnziL70F7R98CiS1YTstGEu3YuMgDYxG3tjObLbiag10Nlnx+WwcP70FN7bXIHV7uLZNUf41Q1T2HOkhaaOfp/jOWVMNNctzaGl0zzsTC1AaW03q+aN8v5br1Vy9eJsappNhAZoSYk0+qTW+fFztlLX2k/kWVz9A54KoLNBIPhP8T4cCFDV3MfvX9rPnZeO976flxHBtsJGn89kJAaTGjdykMLY9HDsTjf3/mMHP1qeTrTtGI1vvwmDLSSiktA5q1HoA+kr2oBCYyAgbz59RRt81qMKT0CXMpa2d/5E6LyraF/z+Mlbjjt9Fh88V8Edl+Rx7ZJswoN1/Oxv23G5JcKDtfz25un88uldtHadaD0rqepkbEY408fG0tZtJUh7doiT0pc8eDlcnuQf//PZmcWXPTA7XG6+joBEpVKkpLJjxPdrmk0E6FW0dlm87ZngSZIqrujk9c9KcQ+MKxWiwB9vncJdC8PQiT30bPsQiywTvvA62j9+ynseB+TNRxUaQ8ubD4M0MN4RRIKmLCd4+kp6dn1A9Kqf0b39HQLGzqV39xo0cRkgiEhOO86OBmxGPVanBp1GwbpdNYgCTMyOZnJONEEG9RAvypNJiw/mjc/L2LivnlGJIdxy4VjuemyLt5qloqGHLw428LMrJzI6PmjEcbPZ5hrRGN5kdqBSKBiXEcFPHt0y5H1Zhn99WMIvr59CRUMvzR0e4XxidjSHK9qpbjKxfFYavxvw/zxc3kFEiA6dWsl7myu4bdU4xqWEfqkx+H+KS4b2Pgfrd9dgtrqYmRdHUnQAv3luD30WJzeuyD3t592SDJKM9C0///jxczbgF4C+B2iUItNyY/l4hOStcyYmfG1ll/8ObreEWgC1buBnJsn/0WVYFAXsLulES0aIjll5cQQY1NS39hMTbqD445FLbQ+Xd5CfFclV52dhsbl46OZpOF2ST7yoz3ZLMg6XxHVLc9BrlcOW8VrtLp7a0MZtK3+Fc8erOBqPg6hAP3oqqkkruft5T+qBNiAAIXoaUZGJOHs7sNYewVpV5LMuydpH25oniFxyG63v+hoV9u77GF1SDvbaEmSHFdPetTjb64m+9F5stUfo+uI17K3VBObNR07NQ2EIxlp3FHNfH2sPdBEeYmPpjFRvytn0sTF8cbCe4mEGW7tLWpg/KZFOk23IeycTqFdxz9WTPNsuy2zaV8eSGamEBmpPPCT58XMWI8sy9W39jEsL+6435b9CIQpnVQuYKAq4ZLA63DhdEgatEo1SHLbFyS0IdJnsHK/tQpJkxo2K4MEfTAEgOSaAiBA9bd0W8rOifNqjs5LD2F3SwuLpKUPEfb1WyepzMzlwrJXQQC1TY520vfm67xdLLro2vUTUxfeiSczGbTcTNHkZupSxmMv2Ijvt6FLGodAaaf/oCSRrP4JChaBUI7scCAoV6rk/4N0DvbjcEgfL2gkP0vL82hMtxknRgXy2p9ZH/BnkcHkHcycksPNwI0unpZwVAp9WrSQ6TE9L59D9EQRIiQn8jyaG/HyzaFUKEqICqB/GXgAgMzFkWMPhr4pCIWJ3y9jsbvQ61bDLhARouGH5GJo7LUSH6glO1nL5eaPZuK+O7JRQ/vCSrweXJMto3SZ0Cjet7zyC7PSM8xSB4cRe8zD9xVtwm3sx5Myg5dUHfL9Mlujd9T4Ry36EQh+A29yDq68LbfJYNLHp2GqPIEsShtFTcLTX4UKgz+LAoFUiyTK/uG4y+4+38eLHR9GqFfxk9QTKG3qw2Hwn1M6flkxRWbtXtCqr6+Z4bRexEUYa2jzj3PhII9PHxtLeYyUjIRhhhNHzl1/fZbp6bcP69wD09Nlxutzceel4/vVBMQAzxsXy5LuHyc+KZGdxMyqlyILJSUzIjMDlklEoBPYdbeXDrZVkJYbwTcjQJrODD7dV8eHWKu9re460EB9p5OYLx/LQ83sJMqpRiIL3OJ5MSIAGvVbFtz357cfP2YJfAPoeILklls5MYduhxiHGy2nxQaTEnp2DK0EUsLtlqup76TbZ+MllEzDqVLR1W/h8bx1dJk+EZUy4AVEc3lwwMSqAsRnhPP5mkTfhKtCg5r6BfuiRkCSZjfvrOG9KEpNzooctXy+s6GJTWgSJOVeTMENJkFFLm1XBb58t8oooKoVIZWMvkTv+RcTS2+n+4tVhv0+2W3Cbe1EEhPqUGrstpiEeE9bqQwROPA9r/XEiV/wEZWAopoOfYas7ikIfQMD4hYSkF1D4+V7OnZJMR6+N7JRQ2nuszC9I5OEXhqa5DbKrpIV5kxJGfD84QINSKfLZ7lp6zQ6yU0JZMScdtUrEqFb4S2z9fC/o6XfQb3USeZr0k7MBhXj2mEArFB7D2UffKPLO8Bt0Kq4+P4v8URG+iUMKkaY2M23dFmwONwlRAVQ29NJrthMTZuCnV0yks9fGa+uOc/WSbLYXNdLeYwU81/b1u2q4aF4Gd10+gS8ONNDb72B0cgiTsqMpre2mrdvK/auzMO1+dsTt7T+yDWVgGNaqIsLmX0PHp/9ElzIOUa2nd+/HuLpPtA3LogL1gtsx6DW0y8G8tr2F3cdbAVCKwpD0xQmZkXywZWiy2CB7jrQwJvXsESc1CoFbLxzHA8/sGuLXceGcdDQq0W8CfQaiEuGWC3O5/5+7hjxkL56ejE41fKT7V0EQBZq6rDz2ViEtnRZ+dcMUxFMSwnQaJXdcOp4n3z3sI4YqRIFf3ziVD7aeOEfyR0cyNz+BkAAtQY4y+iv2e8UfAHtjKbbIRJxdzegzJtFX6FuxdzJ9hzZhzJ4JopLgaSuxlO/DtHet933T/k/QpU1AMzELwSoQGqTjwrkZPPLKAW/7qckMT71XzD1XF3C4vJ3CsnaCjGpmT4intcvCqye1YwFUN/dy44pcLHYXEcE6+swO3tpQRnefneYOMxfMTgdk7A43CoXo8VuUJQL0KvRa5RCRCTytXAlRAXT0nn5ST6UUOV7bxewJ8aw8JwO1SoHV7sKgVdHVa+P/rpzIFwcaePj5vUiy5/jPGh/PJfNHecZ830Dbf1uXxUf8GaShrZ/9x1qZlBVFRWMPly3M9GltA4+ofOvKsWgV+LTN+fHj5wR+Aeh7gk4p8MfbZ/DJzhp2DSj2501NYuqYGJT8Z5U33yWCKFDXbua3z+/1tnadPy0ZhSjw0fYTs7YtnR4vm6ljYthxuGnIeq5anMVvnt3j0x9tMjuobOwlNtxA0zCJVlq1AoUoUNvcx9MflPDgD6YSbNQMMT4OMqqZMiaGPouD8m4r/3yukDsuGT+kgmZzSQ+r0yYj2S0+A5JTcfV1otAH+ghA2rhMHG1D+8qdHY04O+qR7GY61r/njSF29bRib6rAkDOTG8+fR0h4OE+8Vcg9V0+iqtGEw+n+EpFGpqG1j/mTEtmwb6iv1HVLcwgN1HD7qnHYnG5EQBQE1Ar+q5lAP37OJOrbPDPe34cWMNt/6f32bWFzydz31E56+09MYpitTv7x7mHuuXoSo+ODcLsllCoF9e1m/vjyPsw2F2FBWs6dkkR6fLBX6L7zr1tYPiuN5XPSKKnq5PaL89h/rJU9Jc2U1Xczc3w8r60vJdioYWpuDCmxQVQ39fLgv3bxwA+mEqAVidWY6TCN3Jbi6m1DoQ9EHZWCLEnIkoT52M5hl5UDIvmixk5vv41Pdx3xeS9/dBSPvVno85ogCF/SNiWTGh+EdJa027rdEvHhev58xyze+LyM8voewoK0rJqXQWpMIIJf/DkjcbtlYkJ0/PmOWby1sZzjNV2EBGq4aG4GGfFBw8bAf1XMDon7n97l9Sj7fG8t1y0bw7NrSrya0vxJiXy8vXpIJZxbkimu7KBjQNS95cKxtPdYefLdQ4xJC+eOqQK2el9RwG3qRBUaS9eml1GHx+MyDfUbGsRl6kSXNh5RY0BhCKJz3T+HLGOtPIg2uQBVUC4Olyc9cFD8GaSm2cSvnt7JNUty+L8r8/niQAPPrTkyZCy5aGoyGYnBPPFWEe09VkRRoCA7mosXjOIvA6EbpXXdvP5ZKY3t/QiCRyS+fmkOAXoVV5w3etjQlcXTPRWCUSE6dBrlsK39MWEGZBnK63vYVtiIW5L50cV5rJidxrGaLi6eP4pPdlRz4PiJRDS3JLP5QD2SLJNxfjDy1xyrrlQq2Lh/ZAF8a2Ej1y/LISRQS2ltN3deOp51u2s85tYxAZw/LYXYcIN/TOrHz2nwC0BnEIIAbgSsDrc3nlyrUjBsRNYpuN0yagFWzk5lyfRkBAQ0SgGX6+zsfrW7ZX7z3F7v4EAQYFJ2NA8+s3vIspv213P/9ZM5Wt3p09aVHBNIa5dl2Gjdj7ZW8YMVY/jDS/uxn/SAJAoekWOwnU6WPSkYv7iugE92VrOtyCMyTc2NYf6kRH734j76LA7+ePtMAg1quvtsPqXubknmUGU3K6fOQ3Y1oTAGD4kEHkQVHo/rpLQJQanGOGYWrW//fsiyos6I7LBh2v8phswCrwA0iPnINqZfuZiPj/bS0WPDZHby93cOMTc/niljYvji4NA4eIDxmZG8/PFRHrhxKonRRj7aVk1Hr5XkmEAumJNOZWMvmYkhqJDReGd9ZP8si5/vFXWt/WhUCgINp0+POdNRKUVMFseXL/gdo1AIHKnu9hF/TublT4/xq+sno1IIWBxufveiR/yZnBPNspmptPVY6TLZKK7sQHLL3HP1JKqbTRRXdPDJTo83x/jMSK5dkkNkqB63W2Jarke8/2BLJTXNJsakhvKH68eiVVoZla7HvH8jmqhkXN0tw26TJjoVZ3czokKNvbWWoMlL6Nn29pDl9KMKkJQ6QgLgjc9Lfd5bODmJxva+IQ9mhWVtTB0Tw9ph/OcAJufEEBtmOGsEIABkmWCdkpuW5+B0yyhEAaXwnxnD+vn2kCWZIK2CG5Zk4ZZBr1Mhu9w4RjDf/SooFCLrt1f6GNTvPNyMUiHyy+uncKSqg95+B/MmJQzrXaNUiAPVgdlIskxhWRsfbfOcK00dZtzqSBQ6I66e1hP74Xbi7GpGm5iNs6sZTVQK9obSIesG0MSkoolKQhZV9B1YN+J+SCXrSFoyjrX7G6hrGT7tT5I9vpJj0sJRqxRDxJ+EqAAyEoN5/M2iE5+RZHaXNNPQ1seNK3JRqxT87sUTgSWyDAeOt1HdZOJ3t06nIDuK0CAdr60/Tl1LH1Ghelaek8GEzAiUsgyCwA8vzuORV/b7VFhpVAquWZLNY28WkhwTyH3XTebxNwt59M1C/vrj2azZWklooNZH/DmZbYUNXDIvA63i6y0BEgSw2kf+fTmcbhKjA9m4r45PdtYQEaxjbn4CwXkamjvNPP5moed6f/5oZL8I5MfPsPgFoDMEQRCwSzKPvnGQ47WeyFpRgFkT4rni3NGIX3Gg53ZJA39UGZfru7nwCYKA8F8M7BQKgWMVnT6Dg8gQ/Yh96DaHm8ffLOLhW6dTVNbO3iMtBBjULJmRwic7aob9THOnmbc3lvHIHTPZXtREaV030aF6CnKi2bivnsPlHT7L/v6lffzksgksnpaCKArotJ5WtFtXjiPQoEarUnDHJeNp6TKzat4onnirCIBPdlRzxaIsHnyjlAcuzyZs+io61/9ryPaoQmMR1DpvxLs6LpPQ2ZfQveVNZLevgCWoNJ5KIXMPglKFoNIMu4/OmkMUlkUCeI/l9kNN3H/dZIrK2ocMRPJHR4IMN68cxx9e2o9apeCiczIIC9ISHWbgDy/vp761j2CDmgUT47HY3VgcbhSigE6t8A/m/XxvqG3tIzJE501FOVtRKUUczjNfJBBFkdLa7hHfb2jrR5LgWEMPKpWCfquT8CAdq88dzcHSNjbsraOn387opBAWT09h39FWzp2axF2PbgU8D2HRYQbae6w8flIceWiglttXjSPe6EZVvw/LxleR7FZYcSf9xVuIWnkX5tK9Q7zNBKUaffpEWt78LYJShTF3Fo6OBkLPuZLevR/h7u/xmPaPnYtx7Bwq+hUEGtVctzSHwrI2DFol509LJTpUN2yC54FjrTx0y3T2HGnxtq4NkpMaSnZKKGHBOrq7h1awnsnIsuf/VILnv/7bxdnB4N9NoxQJNGj+69+dS5Ipq+8Z8vrWwka2H2piZl4ck3OisdpdQ34j8ZFGblyRy5bCBt7eWM6dl47n050nqqTrW/voktIIGzsX+ykTY91b3yBy+R1Y646gT8+n79AmZNcporMgEjx1Bf3o6LMLqG3DCzsAktWM3e6gs8eGTjPy45RWo6S1y0xuehhxEUafSqFzpyTx7qaKYT/X0NaPSimyaV/dsJ12XSYbx6o7GZ8eTk5iEL+4psA74WvUKLDbXXiuXDKjE4P564/nsG53Dc0dZpKiAxifGcmbn5dR19JHXUsfx6q7uHFFLr97cR97Slr44w9n0tE91LfLu/+yx4Raa1ChUHhsGL4OFwCXS2L2hDg2DlOFDpCfFcXxmi6m5sayYW8d7T1W3tpY5rNMZUMvTpeM8uy+hfvx843hF4DOEFwy/O7FfdSe5OYvyfDFgQa0KgWXzMtAPsO9HAY9e+pbTPRZnKTGBWHUKhH/zTuCIAje0t5BJFlGFEe+krd2WZAG4t1rmk1Y7S5eXVfKqMTgET/T0+/A7ZaZkBlBeLAWi83Fwy/sGxKbPDY9nBWz0+gy2enotTImNYwtBxtYs7WK+Ggjt1w4lvq2Pjp6bZitTvJHR3LrRWN55dPjlFR1EhGi485LxvP2zjquXTAB49xrsex6a0DsEdCkjMNdcAXrK/uYd92jtHaaOdrmYF5AGG6LrzeEoFARcf4t9OxeA4A2acyQQc4gDslTgZQcE0jTwIDDORANeudl4ykqa6eorB2tRsGS6amkxQexaV896/fUer2kyuo8D2Uz8mLJTAqhvrWPovIOctPDefiFfXQNtLulxQXxo4vzCNIp/SKQn7OeutY+EqMCvuvN+K9RKkQcZ0ELmCTJxEcZR3w/NFCL0y3x3NqjXHROBgC3rRrHG5+Xsqv4hNfOgeNtFJa1c+/Vk7A73F7fktBALTkpofzxlQM+6+0y2XD2dSPtexVTw7ETb7gcyE4bpv3riFx+B11fvOatJlBFJBA6ezXd298CWUJ22rHWHkFUqbHUHSVk9mpEjR7cLuzdLRxudKELFtAoFaTGBpKdEoooCJTWddFvdTBnQjzhITqe+aAEm8ONKApMy40hKkTHb2+exvbDTWwtbEStUnD+tGRyUsLQnB3hX378DItSFIgJNwwr+kqSjMls51h1F1nJIUSF6r0tYApR4MYVuTzy6gHvGMXudA8Zs/3hnXIeuTYXQ9Y0n7ZM2eXA2lyJIWcWsq2f6Mvup+PTp3F21Hu2KziK0Dmrcdss2BxOntnUwY/zJmGrKR52P9SpeRTWWThY2sbPr5rEtqLGYZebMyGeumYT+4+1cs2SbKoae9lzpAVREMhMDOGZD4e2bw1SXt+DZYRUVoADpW1MzIzE4XD5PNDZT/2MWyJALXL5uaPYVdzCjsPNrNlW5SPYtPdYae40kxwTSFuXhfBg3bAGyyej0yjoNDupazERFqQjJkyPRjG8J+dXRZZlkqIDyUoO5VhNl897Oo2S86Ym87sX9pKbHs6SmSdCTk4mOlSPUiF+pQ4KP37+F/ELQGcIJovDR/w5mQ376lg+Kw2N+C1v1L+BKArUtJn53Yv7fFqqCnKiuXF5DuJXvBkMpkJMzY3FoFPz+d5aqptMtHdbiYswjmj2PCohGL1Wydod1Xy2p5aBqldWzE5DqagYNgFh0dRkukw2Nu6rJzk2kOgw/ZCBRP7oSGaMi+P3L+7ziZmflhvDI3fMRCmKvLu5nHW7a/nLHbP4eGc1z310hEnZkfz25mn09NnQaVW0dJoZmx5Or0vFK8UhrJx3H0alC1mhYkuFmQ+fP4rF5mLM6HjqLG4au8z0FG0mZOYqRI0Ba20xSmMIqvB4enevwd5wHEGtJSBvHs2vPDDssXTH5NK6qYqfXTWRR18/4THR3GnmwWd2kzcqgrn58WQmhRJoUFFc0cHbm8qHXdfu4mbuWp3Phr11hAZpEQXITQtjy0DEcmVjL/c+tZM//2gmav+Mi5+zGIvNRXuPjUmjI7/rTfmvUSlFn+vWmYrbLTEuPQL1CNt70Tnp2B0uVs7NICkqAKVCxKhT+Yg/g0iSzKvrj/OjS8Yza3wcE7OiiI8w8syaoQ9ZQUY1iVoz9pPFH0By2BD1gVgqDuDsaSNoyjKUhmAQFSgCQ2l77y8+rWGmfR8TPHMVIefeRF/5QdwdbQSMyqewO5S/vVnKmLRwkmMCyUgIZvOWSp+WCo1KwT1XT+KJu+bQb3WiUSnQqURkt6ead96EOGaOjUEQBFSiMBC5fAYPBvz4+RLcbollM1L54sDwrejzJyXyz/eLKanq4NolOfz+JU9wxeScaHYcbvIJO1Eph54LTR1mbnuqhPsvu4D4ycuwVBYiCwpcsWMpaZeYolDR/MZDKIOjCJy4CFVQBAAucw/W2hJElQbaGxkdez794bFDwjkABJUWOWshUQ4DP7x4PEEBGhYUJPL5KRV9mUkhJEYHoFEpaOww8/e3DxEVpufy80aTHBWAW5ZH9OcBCAvSojjN5Gd0qOHfCt8wW1y8ur6UnlNScBWiwOScaJKiA/jBilyUCgFJclPTbCItLmjYIJSx6eEUV3byz/dPCGQBehUP/mAqoQbVfyUChQZquWv1BHYcbuKTnTVY7S7yRkUwf1IiL358FJvDzf5jrSyamjysALTynHQE+ezzP/Xj59vCP4o4AxAEYUiZ98m43DI2x8gzAGcCVpfMQ8/v8RF/APYeaWHTgQYUw9ykT0USBI7UdvPAM3u4/ZHNfLi1knkTE7lmSTYAmw/Us3ph5pDP6TRKblgxhve3VGLUq/jl9VPIHx2JLMMHWyq589IJGLQntE5RgKUzU70RyTsONyEKAuFBOibnRHuXEwRYOiOVJ94uGvJQsrO4mc0HGrDYXazbXUtiVACldd1sOdjADcvGMGdCAnWtfcgIbDnYQFVjL2nxQWhUCrr6HNz38nHueL6CO585xutf1GGxuUiMCuB4bTevrT/OiinROI9vo33N43Rvfwtj9gxc5h5a3/kTtrqj6NImEHrZb0AbiKjVDzkm+oIVdLm03HdtATq1gvYeT+XSD1fl8ePLJjBzXCyHyzvo6bPT1m3m7Y3lON0Sv7iugKTooZUPLrfsbYeZlhvDvU/tJDsljPGZEd5lzFYnB463ofwKf2s/fs5UBg2go0KGnldnG54WsDO/AghAqxQ8Bsz6E3HQggDnTUkiwKDhrse38d7mcmpa+rjn6okcrekcdj0x4QYuWzia6sZeVAqRxrZ+RFHwxiufTHp8MGLd0FRE076PCZt/DQgizo56Otf9i9Z3/0TrO39EslkJX3g9mnjPvUhQadHnL6YjsoCXdvZiTT+HT81j2Nmk5rEPKnBLMo3tfWQlhVDZ2DvET8PudPPQ83twuWWCtEq0CgH5pAcnt0tCAYiyPCD++PFz9hOkV3HnpeNRnzReiI8w8sOL86htMWEyO6huMlFa28WvbphCckwg2SlhHDzl/KlpMjEqMWTI+rv77PzhnUoqrMH8qzqFhw+E838vV/LRnlZ2V9sInrEKV08rXRte8Jzb7/6J7i1vYMicQt/hzdhrDpGXbORP71cTvOpXaLJmgagEBLTpEwm/4mE2l9np7rfz59cOcMefN3P+tBTuu6aA+QWJzB4fx52XjmdBQSJ7j7YgyTIqpcj1y3P4wfIxJEcF4JIkmjvMLJycOOwxUipEEqICyBkh8U8QYNb4OJxf4RovCHgGvwIYdSqf9wINan5x3WQCDGr++PIB7n9qB29tKKPf4iI2TM9Vi7NJPGVcmB4fzBXnjeblT33F8z6Lkwee2Y39K4g/oijgQqDX5qLb4sQpeyaBB1GLMDYjgqUzUrnivNGolCIPPbfHK0bJskdAP/k3pFSI/GD5GKKCdf5UWj9+ToO/AugMQJZlwk+TNqNUCGjVZ+6fSqEQKSptHbbKBmDN1irmjI8/7Y9NVIhsP9zEcx8d9b7W2mXhmTUlLJ+Vxtz8eEqqOj3Gy7dOZ93uWtq7LeSmhzMmNYx/vlfsvSkoxAp+dMl4bA43h8rbsdld3LYqD63aUzcfNVAaWt3UiyTJhARoePnTY6QnBHPDsjHML0hk3a4aIkN0VA0sMxyf7a4lN81zY549IZ51u2q49aJxbCtsJCsllPZuK5/vrWPJjBTS4oPZVdxM3qhIbr4glz+/dtBH9AsL0nL98jE89kYhXSYbh6u6GK30GNA6mitpfuWXGLKnE7n8RyAIuC19vLmnh2O1Ju5b9SBC3QHslQcR9YEIOQupthh4Y301uenhFGRH8ec7ZlJU1sHbm8pwuiSmjonhz3fMwuZwc+8/tiPJsPlAAwatkrsuz+fJ9w7T3n1i+zITQ6hrNXH5eaMpLGvHZnfz3EdHuPuKfApLT6RpFFd2MnNszGn+0n78nNnUtvajVAiEBmq/6035r1EpPBU1siyf8X5GsiQTG6LlkR/OpKvPjtXmIjhQy6b9dfzlNU/rVlu3lafeO8yK2WnkjYoYso7gAA03XZDLX18/6GMoLcsycRFGTGbfWXyXW0ZWDv0725srMR/dQfQl99Jfth9Xey1CWCJC1jl8eMxCdlwgsefcQohWQU2rhbf2d7BzYwmSJBMZquOcgkRMZgeJ0QHUtfQRE2Yk0Khhw96hiY6D21FU3s70nChcZ0HFlh8//y2CLDMuNZTH75qDyeJAq1ZS3dRLY5uZ+MgA7rhkPM+vPcL7AxVzN16QS3iwlk931fisZ822Ks+Y5d1D3vANgJAADbdeNI73t1QyY2ws0eEGWjot1LaYcCn1qEafS1RcJv1FG3BbTGgTMtEmZtP5+XNINjOCUo1LklEpFaw/YqbdOY1Z5y9CFCE4JoKn11cxMy+W3zy31/udDz67m9svGsfErCiqm3o5VN7OlDExpMUF8/AL+5AkmY376slKDuEnq/Np6bTy8c5qFhYkUdnQS0nVCVFbrRT58eoJ7DnSwsy8OGa19rG18ESLmUIUuPPS8Rg0Cr7UTEsU6LE4eXNDGXanm/mTEnnh4xNj7RtX5PLsmhIfkfzA8TaKKzr48x2zaO40s2xmKkFGDb39dqLDDEQE67j7iW3Dxs+bzA5au6wkhOlG9AQSRIHGbit/ff0gHT0eK4FAg5pbLhxLdlKwdzmlKPhUbxp0KgIManr67LglmeAADY/fNYe2biuyLBMVqketEL78mPjx8z/Omasq/I8RpFeTEBUwrNHx3PwEdCoR6Qyd/RNFgbaukY3i+q1OT6TtaZ4/bC6JV9cPn8jw8Y4q/nLnbLJTwnjxk6M0tZv50cV5ZCYG8/4Xlfzy6V0+Nxm3JPPku4e4/7rJbDrQgNnq4G9vFfHnH81EoxI5VNnJE28VkRgdyEXz0vm/Kyfy62f3UFHfw8//vp3QQC0z82JZPD2Fd0Yw5wPo6bejUnpEpUCDGp1WicXqoqy+hwWTk3j9s1Imjo4kIljHm5+XsWp+Br/8507CgnVcuSgLo15FZWMvkSF6BAH+/naR11NnfWEn4yefi3Pjc4Cnd73/8Gb6D28GQLX4Z2wrbqOnz861jxYyJi2cm5fcTle/i7c3V1NcWQPAtUtzEESBv719iOqmE35Ca3dUs7WokYdunuZ5MBw4gGabixfWHmX5zDTvTVchCly92JO28fmeWm/bl93pxmx1+pQvx0UYTvdn9uPnjKemxURkiO60ZfdnC4PtEU6XhFp15hvHSJLHIDgqUIMrSMOdf9067APGmm1VzJ+UiHjKOH/xtBReX186JE1s4/56rl2SPcRP4lh1J9LsyXBw7ZDvsFQcQBEay179LDoD+2lud7JnyzFvm3BsuIElM1N5+n3fWPf3NlcQqNfwzJoSfnblRB56bg+LpiVjtjnpswxNpByktdN8xot0fvx8nciSjFYh0OWS+elT23wqyOMijPxk9QT+8NJ+6lr7UCtFAvVKzpuaxLNrTpxzJrODx94o5KrzswgJ0FLf1odRp0KpFHnqvcP09NlZPD2Fx94opKnDY169cm46WwsbuGlOGCq1FnVACLaGUnp2vu9dryprNhuLe1g8PYU3Pi+ltcvCur2eFNi/3hlBYnQAm09pYevps/PQ83tJiwti4eRE5k6I594nd3rHdYMcq+lmd0kzOw83caymm6LSdi4/bzTLZqXR3NFPWJCOjIQgtColWQnBiAJced5oFk9PobiyA61aSWyEgbqWPtwynO7KrlAINHRauf/pXd7JzLkTEsgbFUFRWTvRYXrMVqdX/FErRSaMjsSgU1PbbOL1z0q5cfkYHC43dqdEYqQRtVLEZHHSZx45YbLLZCMxXD9iFY7FKfGrp3f72C6EBmqRgZrWfo7UdBMbYcSoU5KTGorDKbFybgY2hwuz1UlMuIHefjtalYggycSH6vAOZf3ijx8/X4pfADpDUApw3zWT+NOrB6hs8FSyCAJMHxvLJfNHnbHiD3j6ubNTQnl/y/BmxIlRASgEAZARRAGHJNPb70CWPR4MWqVAn8mBfYRYUZdbxmR28O7mcu8MzxNvF/GH22fy0TAxuTHhBm5YNobqpl56++0EB2h48KapaNQKzDYXjw3EbdY0m3jklYNkJARz9+X5dPRYaWjrIybcSFSoniPVXYxND+ezPcPP2qbGBXlLT+tb+5g/KZF1u2pZOSeNIKOan105iUCjGlO/ndXnjuaFj48gydDebeUvrx/kvmsnsbWwkZ4+25AHg9K6HhwX5KOKHYWzyTfdQJc9g1KzkZ4+j/+FQatkVl4872xroLqpl5l5cRRXdrJ0ZioyMh3ddh/xZxCT2cH63bX84bYZ1LX1sfdIK3uPtlDX2kdshAGNWkFOShgXnZNBU0c/f3v70DB/G8lrzi0KMDc//iuVI/vxc6ZS3WQiLtzwXW/G18KgAGR3us8KAehkTGbnsOIPeISixvZ+brpgLE++d9j7enJsIK+uPz5k+c5eG+X1vdx8QS7Pf3zUe6/Ra1W4dCHoJi3Huu9Dn8+oQmMwjF9EdJvMM2tLfcxQtWoF1y7N4bk1vuIPQG+/gwC9CrPVycZ9dfzu1ul0mmy0dllIjAqgboQ0y5zUMH+Ll5//OWxu+M1zQ+0DGtv72X+slfuvmwx4gkC6TE6ykkMZlRhMWV2Pd9kuk429R1tYMTuN/cdaqWrs9foELZuZytrt1V7xByAzKZR3N1fwRbSG2ZpgHPs/8PluZUg0ztELia910Nje7zWhBs94S61SMGWMx49oOCobe/lkZw16rWqI+DPIJztqOH96MsdqunG4JJ5fexSNSkFEiI7bLhqHIIPb6bn+KVQKyuq7eG9zBXanhNMlebfpwLFW7rg4zxO2IgrYXBK9/Q40agVGrRJJgn+8e9inkv3xt4q4enEW505Jwul0s/eox+D+vClJ5GdFsedICz19diaPiSYtLgi3LKMElCrP/UR2S2jVCow6Ff3W4UXtxKiAEavnlUqRDbuqfcSf1LggLluYyeNvFvqMh6eMiebHl02gusnEX18/6HNPmJYbQ25aOMKA04+/48uPn6+OXwA6Q5BlGY0ocM+VE7HY3VjtLox6FTqV4ox3sZckj2N/ZIiOtu6hXkbXLMlGrQC3LFDeZOKxNwoxD1zEtWoFN67IJTUu6LTfYXe4feLVLTbXsKXyRp2Kmy8cy19eO+AzC7xhbx03LB9DkEE95DPl9T385rk9ZKeGcv3SMTzyygGaOz2DhZ9dOZHwYK23RPVkLpyTTk+/nQUFiWzaX8+DN05lwugIdFoVv3l2D7aBhwyDVsntq/JIjQvyKVE2W12YzPYRZ4WbzCrU+dcTMq4VdfVOUKgwjFtAvc2Awq7inqsnAZ7j//HOakoqPYljidEB3HP1JKx2Fy6XzNbC4Y0WAXYVNzNtbCzPrTnCjLw4fnndZB59oxCtWsktF46luqmXorK2YSNbRVEgLEiHecC49K7VE9CrFP67sJ+zFqvdRWu3lfxh2ovORpQDfgpnQxT8ycgKccSW4kH0WiWVjT3cf91k9h5tobffPsTb4mQ+3FrJAzdM5o+3z6S5w4woCtjsLh57v5TpmblMu3ACqsotSLZ+nIkFdGviOFJupb7FxP3XTeZgaRutXRYyEoKZmBXF39855L1PnExEiM7rGbfvWCsLJidxvKabKbkxRATr+N2LQz2HIkN0JEUH+hMU/fxPoVAI1Df1DWuAnJsWTnZKGH94eZ93LKdSily2MJMfrsqjscPM1oMNqJQik3Kiae+20m2yU1TW7rue9HA+2l6FVq1g1vg44iMDvNeJN7Y0oDxnDNMuyENVuRXs/WhGTUURPYo6k4KKhip2l7T4rG/pzFSQZSQZUmODvBO2p5IcE0h33/DiD4DF7hwiytudblo6zbR0WYgL0yO5JWxumUPl7Ryr7mLm+HjGZUTQb3Zgsbvotzr5aFsVfVYnATo172yu4LPdNd4CmKhQPfdeM8kndh48E3fPrjmCXqvk/usmY9CpmD0hnogQPb99/kRL2/5jrQQZ1Tx8y3T0SsFnaKdRilyyYJRPNdYgWcmhBOpVI44FXTKUN/T4vHbJ/FE8+vpB77PBILtLWlg5N4NHXjkwRCTcWdxMYnQAiwoS/eK5Hz//Jn4B6AxClmVEwKgWMaoHhIozXPwZRC3Cr2+cyjNrSjhwvA1ZHvC1WZpDUqQRt1umz+Hm9y/u86nOtDncPP5WEU/cPYeYcAPNHUMH1KGBWkxmBwatCpVSxOmSPEkpGiUhARq6T0ozWDA5ifc2VwxpAQB4bk0JD986Y8R9OF7TjVop+gzqX/70GHdcMp73NldQVN6OLHsG+JfMH0V7t4XU+CDGZUQwOSea1k4z2SlhPPCv3T7rNdtc/OmV/fziusnsO9qKc+DhYMO+OpbOSOWVdUNnrCNCdDicbhzoiUgchz12DHtLWqjaZiIjUcNzHw2txgGYkBlJU4eZtzeWcc/VBbR2modNyRhEpRQJNqpZMDmJz/fUcqi8nVtXjiXAoObeJ3egVor86UezeHfz0HSwSxdkolUreOCGKUQPRH/K/gcYP2cxg0mM0WFnvwE0nKgAcrjO/Ko8QQBZELG73IjImK1Or4fOqQQa1IQF6XhrQzkqpUjeqAiCDGr0WhXBAZohCTcnfQvvf1HBxKwoXl57zDuLbtCqyEgfxU7bdOx2J6WbTDS2H+O2i8ZxsKydtTuqyU2P4MYVYzhe201Lp2XE4IbVCzPZetAjuquVCpo7zLz3RQXvfVHBD1fl8X9XTuS5j0ro6LEhCJ6kyRuWjUF9msRiQSFid3lm/tVKEbXoN9r3c/YjCwKtnUPtAwTB06b10PN7fapEnC6Jlz45RlyEkU93VDO/IJFRiSFUN/USG24gOmxo5abbLTMhM5IlM1L5fE8ta7dXce3SHO+E5Sub6nhHrWD8qIno1CJln5r4yWoNZrsNjUqBUiHgcssE6FUsnZmKSqmg3+YiyKBhyYwUNu2vHxKVLooC8yYlDhFeTiYvI4Kyum6ffb7onAxGJ4XS1GFmf2k7oxJDWLOtks/2nEgW06oV3HV5Pq+uO47F7uSaxTlIMmwpamDdKf5IrV0W2oeZvBzEYnNR19JHQXY0oijw62d3D1mmt9/Bcx8d4dYLcxFOEnQkt8TUnGgEQeDNz0vpszhRKgRmjY/jsgWZnoqkEVAKngqhkkqP59HgGP9U8QcgPtLIsZquIeLPIB9tr2b2hHi0Sk9yoh8/fr4afgHIz9eCJMloRLj1glxsTgnXQImoRiHgdssolCIfb64YsTX3gy8quX1VHr99fo9PiadW7aks+ef7xSyZkYJOo8TpcrBoahIGjcgNy8fwp1cOeJcfnRTCB1uG9+2RZKhtMREbbvApBx4kOyUUrVpJWnwQbrfMRfMyAI/x6JXnZ3GDagwWmwu9VokgCFQ39WKxupAkme2HGlm9cDT//KB4yHoHv3vH4SYm50Sz/ZCnbLikspPJOdFcMCedT3ZUe29wGQnBXLEoi9fXH+e6ZTkUlbXzj3dPtDnMHB8/bLWVXqtk+thYnniriJsvGAsCbD/UxOLpKewcJi4ZPC1b+4+1Ut3Uy0+vnMg/3jlEr9lBeLCbiVlRLChIxGS28YtrJ7N2RzU1zSYiQ/ScOyWJlk4zNruLlCgDkoRf/PFz1lPZ1ItaJRIacPYbQIPHBBrO/AogQfC0Bn+yq5LZExLYebiBLQcbuPWicfz51QM+bQZqpcitK8dhMtsJNKgxmR3sO9rKrSvH8tnuGi5bkOnTFjbI3PwEisrasTnchARqWDUvg5hwI5IkUVTWzh9f3udTjSkIkJUSyj/ePYQsQ3u3hb1HW0mOCeTp94u589LxvPTJMaoGwge0agUrz0lnVGKIt814Zl4ce4+cqCB44u0ifn/bdB6+eTo2hwulQvR4WMjyiNU/bkHgzc/K+OJgvScpzKhm9cJMZuTFfR2H3o+f7wyHSyIu0jjk9ZyUMA5VdPiIPyfz5oYyFk5OJMCg5qHn9tBnceJwubnonAzS4n2rchSiwIKCJB56bo9XqHlrQxmXLRzNY28WAp6JyF0DlT7TcmMQEPjzqweZNjaWn14xEVkGp9vNpn319FmcTBkTzT1Pbic9LpgfXzaB59ceobPXI7SEBmq5ZnE2H+/wCBPDTWxq1QrOm5rMr57e5X3txhW5HK/p4u2NJybbBAFWnzuaRVOTvebXNoebJ989zFXnZ/HoG4X89fWD/OXOWazdPtQOAaCioYfRySEcr+ke8p5CFIgI0VHbYkKtUoxYvH2wtA2HS0Jzii+eKMvMzI1i0uhI7E43KqUCrUpA/pLqTZdL4rypyazb5alWCjSo6RyhVS7QoKbjNCnJZquT2pY+thc1ctWiLFSC7C9C9+PnK+AXgPx8bciy5/+0CgEUntJW98CNwOWWqW8deTbkaE0X2Smh/GT1BOpb+2lo6ycmTO9tDatr7fO0G9mczBofx5IZKTgdbkYnBPObG6fy4ifHqGrsQSEKp734O10SUWF6rwAUaFBzwZx0EqMC0GuVOF1ufnFNAQ3tZv70yn5vH7kowP9dMZHE2ECe/bDEJ8o3NFDLvddMoqSqc1hhaZCmdjPZqaE+rz275gj3XVNA/uhI+iwOlAqR8CAdv3l2N5edO5qePjsvfeIbs/nUe4f50SV57DjUxPZDTbjcEpNzorl4/igA7r9+Mj19dpSiyIo5aUSHGpiaG8OuU0Sg5JhA5kxI4J4nt9NtslPX0sdNF+Ty2Z5aLHYnN6/M5Vh1FyFqLVa7jYvnj6K3305ZXQ+vrDtGR4+N390y/WwpUvPj50upaOwlNszg9bU62znZA+hMxinDn18v5LKFmbR3W/loexV2h5vnPzrCHZeOp6m9n6YOM2FBWtLjg/l8by2Lp6eycHIS72wqJ8ioJjhAyz/ePcx5U5K46/IJfLClkurGXsKDdSydmUr+6CgcTjebD9Tz4L9243BJGHUqfnrlRD7fWzekFfeyhZmIguBNUlMqRJwuN7uKm5iZF8fjbxaxdGYqly3MxOWWUClEEqMC+OsbBwHPzPX4zAgeeq7KZ71vbSjjhxeNQzmQSokkM9ItSxIE/vp6IUdPMq/u7Xfw5HvFgMD0MdGA/wLs5+xErRCxO92MzQjncHmH9/WwYB0tw7RXDtLcYSYrOZQXPj5K/UnJVcUVHfzo4jzauq1eQVWlEnnhgxKfKp3qJhOHKzr42ZUT+XBLJWUNPYQGalg+K53IEB07DjdyzZJsnnrvMBv3nai+0WuV/OamadjsLq44L4sPtlTy7uZyVp87mohgHaIo0N5t5cOtlVQ29nK8tos7L53AnpJmthY14nBKFOREs3phJgpRQK1S4HBJJAz45Ww5KeULPGPqV9cd575rC9i0v957He8y2TAMtLG5JZk126oZlxHBFweHtvuv21XDfdcU8MAzuzGf4tdz1flZbNhbR2N7P3PyE0Y83rI8sq+y2+Ux7lcNXM++TPwZxKhWcM/Vk3j0jULauy3EDyMEArR0WlhQkDjieqLD9HSbbGw/1ER9ax+/uKYAxYhXVD9+/AziF4D8fCsoFQIpsUFDUlgGiY80UtHQy6e7akiKDiAiRE9VYw+vrDvOz6+axLiMcCJCdDz+kzlolR7Xf/BEiSaE6/n5lfneG1RyTCA1zUNNjwHiI4ykxQYRqFdTXNnJHZeO5+VPjvHiQD+yIHgi3SfnRPvMOl+zJIf2HisHStt8xB/w3Ix//ewe7r2mgPhI47BtbIPbNXt8PBqlguO13YQH65gyJpptRU1sPlDvXW7pzFTiowOIDNFhc7iHmOx1mWw89NwepuTG8MfbZ4AABo2Sli4LfxmI1MxNC+fCuem0dpqpbOjlqkVZnJOfwOYD9ThcEtNyY0hPCGbLwXqm5sbyyY5qukw22rutxEcaUSsVdPbYePmTY95KI7VSZNmsNLRqBR09NgIN6oGobP/N1s/ZjyzLVDT0Mi49/LvelK8NbwvYGSwAiaJAY1s/eaMieHtjGctmpnlNmuta+/jt83tZNW8UUWF6dhxq4rX1pVx+7mhe+vgoS2elMjknGoUosPeoZwZ/3e5aDpa2sXByEivnZtDbb2fboUbGZUTwyc4aFhQkEh8RwPG6bnYebmJPSTMP3zqdXYebOVbTRZBRw7SxMZTX91DX2scVi7J47qMjNHX0kx4fzGvrS1k2M5WbLxzLruImiis6yEoJZXRSCO09VvRaFTdfkEugUcOjbxQOeXDqt7pwS5527y+j1+LwEX9O5tX1xxk/KsI/iPNz1iK5JeLDDSyelkJcuJHNB+qxOdw4nW5S44KGTFoNEh9pRKkQffx+xo+KYH5BIr/6125vC6hOo+SBH0wZthVr84F6iivbufPSCVhtLqwOF3ERBprazbjdMrFhBv58xyw+31NLS5eFnNQwxqSG8be3i6huMhEerOXGFWN5d3M5T7xVhCDAgz+Y6q0qAo9YO5gC+Nc7ZyMAKhGQZQRB4M8/msXuI80EGtR8uLVqyDYOsqu4mfysSHYePnE8HE43oiggSTKVDT3MPKkiUCEKRIbocbkl2nusOJ1u/jLwXUXl7USG6CnIjmZXSTM7i5tRDojXI5EaF4RGKX69/o6yTHpsIH+5Yxa9Zgd6rWpYk/wuk42k6ECiQvU+ZtyDXDAnnU931gCeFu62HiuxIVp/FZAfP1+Cf+zg51vB7ZJYNDWJ9btrhvRLCwIsnJzEo697Zk5rW/q8XhxatYIAg4rbLxqHYvCKfsqVXRoYTIt4HiZuuXAs9z65Y8j3zMiL5WhNF4lRAVy3OBubS+I3z+3xxl8OrvqLAw2oFCKzx8ez+UA9wQEagowa1CqRlz71rcYZxGR20N5t4bwpyew/1jrk5qMQBRZNS8bUb+ecSQl099sJ0KnptzgoyIliYlYk2w95HkZM/XZuXTmW9m7riLHALrfM9qIm5k9K5NkPS7j1onE8+IwnSSMrOZRzpybx24H+eY1aQXSoHqvDTXyUEVn29H5399nZc7SVhZOTvOstr+9m0bRkNCol9z65w8ec0eGSeGdTOTddkMuoxBBuWJaDRgnSmfts6cfPV6a124rZ5vreJICBJ20FwH4Gt4ApFCJHq7pITwjmrQ1lrJidjkIUfK7fBp2ST3fWeB8A4qOMvPZZD38fSIPUqJR8uO1ECmVbt9XHW82gVWKxOZk+NobXPjtOe7eV1NggHr5lOhUN3fz08W0kRgWQFBNAv9XJI68e4Jol2by9oYz0hGDuu6aATQfqaeowM3t8HGu2VfHZnlryR0cRHqxl/9FWUmICGZUQzB0X57H5YCN/fHn/sPs7JScKlSh4q2NHQhQFapuHTwwDzz3H5nBjVPv9gPycveg1CgL0KgQBbr84D6Uo4nS7SY0N4p2N5cNWLy6dkUpbl9U7zhJFgeWz03jouT0+5vFWu8tbxT0cHT02Gtr62XygnksXZPLAv3Z7KwHX7qjmzkvymJoby/Habhpb+zH1O7h6sacyqKXTwp9fO8Afb59JU0c/e4+0IggQHKCmp+/Edwbo1UzMiqKupY9RcYFes2JZ9lTOzM2LxeaSefGT4ceW4ImXDw8+0ZasEAV0GqW3yikm3EBKbCCi4BFEclLDqG3pQ6NSEBthIDJEhyjLzM2LZfa4WGRR4Od/3+G9nrrcEmV13cwYF+u1KDj5u25cMQal8PWnq8uS5xiEG9UIgsADN0xmz9FWyup62Hu0BQFYfW4mwUY1D/5gCv98v5jCAdEvyKhm5dwMWjotPhO+ZXXdJITHDRsS48ePnxOc9QLQpk2bePTRR6muriY2NpYbb7yRlStXnvYzDoeDRx99lEOHDnHkyBGsViu7du0iNDT0tJ/z899h1Cj45fWelKlB4+YAvYpbLxqH2TK8Adzl540mPsyA+yuamEqSTHSojr/cOZtX1h2jtLab4AANCwoS0agUnlSWSQm4XW5M/Q4f8edkNh9o4KdX5LP5QD0Ts6LYebiJOfnxXgPn4egy2YgOM/DTKyby5LuHvAOJkAANt140jrYuC799YS8r52aQlRRKW7eFZz86Qm+/A51GybxJCfzk8nz6zHaQISRAS0dPD6GB2mGjRA06T9SwXqeisKzdO1C6YE46f3ntgLd//sYVuazZXjWkBzwsSMtPVk/gWPWJGebwYB1Wm4valuGTOQDWbKvigRumoBFB+orlvn78nOmU1fcgCBDzPTGAhpM8gM5gE2hJkokM1Xn/vf9YCzPGxfq0Q/RbnIQGar0PLP0WJyEBGn5+dQEllZ1kJoUwc1ycdyb4VGaNj6Oz1+bjF9fQ1s/2w03cf91kctPD2XukhdK6bjQqBctnpZIeF8xbpjKUCpGgADXxEUbMFgez8+PJSAjhs721FFd2kJkYwqULM9FrFbjcEjsON5McGzhsRHKwUcP0sbFfKbFGluWBCsvhEUXhtAb/fvycFUgycaF6LpiVhtXhQhAEdGoFKoXAb26ayiOvHvBWIes0Si6eP4rKxh5GJYZg0Cox21yMHxXBvqOtwyYH1rf2DfEFGsRTKaNjbn4Cz3xY4tMGev2yMazbXUdxZYfPZ7YWNvLj1RP4zbO7sTvc7Cpp5lBZO9FhekIDtdx+UR6dvTY6e21EhOgI0Kt5+v1ikmMCyUocg/uUS7HL5WkfzU4JY+cIsfKjkkIoPKny/Lypyew4qRrowjlphAZo+PVN0/h8Ty2/fnaPzz7+6OI8xqSEekURURb45fWT+dMrB7ziyftfVPDLG6YwMSuK9zZX0NNvJzsllEsXZBKoU36jCYWiKGCXYF9JC3uPtBBoUHPfNQWEB2s9PqIuCY0IP7xoLBanRENrPw6nm8/21FJS1emzrvBgnT9N0Y+fr8BZLQDt37+f22+/nYsuuoh7772X3bt3c99992EwGDjvvPNG/JzNZuPtt98mNzeX/Px8tm/f/i1u9f8usiSTHGng97fNwGx1IssyRp0KrVLEKcncdtFY3tpQTnuPlZhwA1ecN5rMhOCvLP4MIsgyqXFB3HLBWMx2J80dZqoae0mNDWL8qAgUsowoCsNG1g/ickve2SXlQJ+60yURoFeNGNseH2lk+6FGAg1qbrpgLCqliCAIWGxO3vislIyEYOZPSqTbZEOtEnltfan3s3mjIhibHoFKIRAX7vEgEWWZhjYT1y/L4a+vH/QZ3IgC3HzhWNZuryYiWEfjgJAVaFDTZ3F4I+gjQnTIsjysAWBnr419R1uxOVzedU4fF0uwUcPukuFLr8HTfy+A/ybr53vF8bpuokL0aNVn9W3RB6VCQODMbgFzuyXGpIazq6SZjIRgNu1v4P+unIjJ7PDO9m4tbOCyhZneFuItBxu46vxsXC43Nc0mXv/sOFcvzuGcSQls2lfvs/7IEB1LZqRS02zinqsnAZ7KgI+2VVHZ2Ms/3jnET6/IZ0FBIm63597wxYF6puaKXLskh8RoI0qFgtHJoWw/1EhPv4M5+fEkxQTQ1GGm3+LA4XQTHaqjo9fGsx8dISEqgLuvyGfdrlr2Hm3xXlsvnZ+JRiF8pWunLHtm9ocTkgBmjItFrxZx+2e6/ZzluN0SCjy+MADIMm6XTFSQlodumorZ5mmbNOhU/OuDEg6WtjEhM5Lls9N4bX0p4cE6mkZI3CoqbeemC8byq6d3DZnUumJRFhv21TE3P8GnTSzYqEGnUQ4RfwB6+u1sLWxgam4s24oaaWrvJyRAw+YDDTS09bNsVhoHy9qYPymRNz8vo2LAXmD8qMiRD4Akccn8DPaUNA+pXA80qMlODuWNz0qJCNaxZEYKClHkmTUlqJUiN67IJdSoQaUUae+2DPERcksyj75ZyGM/nu09vpIkY1CJ3Hf1JKwOFw6nhEGnQqsSSQjTk5MciizLnvuHLH/jAR9Wl8w9T+7wSW/cfqiJlXPTOX9KEgInPEaNagVHqjr4aBjTa41KQUZCsH9s6sfPV+CsHuk++eSTjB07ll//+tcATJkyhfr6eh5//PHTCkCBgYHs3bsXQRB47733/ALQt4jbLaMCgnXKk16TEIHJoyMZlx6BPCDQqEXhK82UjoRSkDGqRLITg8lODMHpdCEPqDqSJBMZohv5swqRwe6r4zVdzM2PZ/P+epbMSOX1z0qHLJ8QFUB3n51xGRE89PzeYW9ANc0m7r2mAJdb4i8D7W7gqXJyuiT+/OoBbxVPfKSRG1fkMjoplE6Tlfuvn8Ku4mYa2vqIjzQyf1Ii72yq4FhNF5lJIYxLjwA8LXMnG/3lpoWz72jriPu5/VAjK+dmoFQI/PiyCYQY1YiyTGpcMFA37Gdiwg18Pyxy/fjxIMsyx2q6GZUQ/F1vyteKIAgoleIZnwKmVQpkJoaQFB3AH17azyOv7OemC8dy5flZ1Lb0YdCqCAvSsmxmKmu2VVFS1ckPB4zwU+OCGJ8ZSUV9DyvnpJOXHsH2w03Y7C7GZUSQnRJKc4eZf75f7G0HCQnQcN2yHLYcbGT/sVa6++z87sV93u0JDtAgyTJ6nZKj1V0oFCLBRg1Wu4t+q5N3N5czdUwsgQY1/RYnr3x6jAd+MIWPtnvuDfWtffzhpf3MnhDP3ZfnA9DSYUat/GrizyAaBfzqhik88K9dPhWyafFBXLM4G8Hvv+bne4zbLaEEQgxq7C4JWYBJ2VEcKm/nYGkbWSmh3HRBLkerO4mJMHoF40FyUsNYPCOFNz8v5WdXTaSorJ2Khh4ignWcMzGRHYca2Xm42cc/ByA7NZSDx0ceN+0uaeG6pTlsK2okNtzAwdJ2xqSFceGcdLpMNmLDDaiUIounp/D82iOYzA7mFyTgcAwvxMsyBGqVPHzrdJ567zDVTSYEwRMVf8PyMejUCv75s3M8E4OiQHOHmd/cNJWIYB1apUi/3U15Uy/vbh4+AVeWYeP+BlbNSfVugyTJJ0Q3r4GzhBtQAJ5ZvpEN6r8uBFHk1U+P+og/g7y7uYLZ4+NOCIN4fKOWzfQI+sWVJ6p/tGoFv7huMhqF4E+k9ePnK3DWCkAOh9fji4MAAQAASURBVIM9e/Zw9913+7x+/vnns3btWhoaGoiPjx/x8yN5q/j57nC5PDf7Qbn/yzwSRkIQBExmB5aBhx7ZJXlmMU5ZXbBRQ3ykcdg2sAUFidQN+BDVNJuICTfw2Z46Fk0L5Pe3TcdkdtBtsrNudw3BRg0rz8ngjy/v55aVY0eO85VknC4JGdlrcpoaF4RBq+LpU+LjG9r6+dMr+7njkvEUlnYQoNcwe3wcguCp6rnpd5u8LV6ltd1ctiATjUpBl8lGXMSJNAVZPv1vXRQERieH8Oc7ZhGoVSG7PAOAcRnh6DTKYdvAVi/MRK34cg8LP37OFlq7rfSaHSRGDZ9EcjajUopnfAqYLMnEhupwA4/cMYvP9tSQGhvE//1tGxqVAovdxd2X56NQiDx001T0OjVut0xyTCBvbiijtNZT4dhrthMaoGXKmGgSIo3elt3fvrDX5/rf3Wfn0dcLuf/6yRSVtQ+5Ri6flYpOq6SiwUpMuJFHXtnPD1bkUtXY660c3XvkxAPiyrnpCHg8RcAzaz+/IJHMxBDA40txuKKDGWNjUP4bQw/JLRMRqOYvd8yisd1MR6+V5JhAwgK1RITo6e4eOSnJj5/vA5IgsLOkhSOVHVy8IJO4CCN/uWMWTR1mmjvN5KSGoVMrSY4N5LPdNd5KaUGAVedk8PALe3G4JA6WtjEuI4Kk6MCBxFWB86Yks2ByEnqtkugwPR09Vs/nv2Tc5EmbldGoFWQmhXK4ooPzpibzuxf3ea85739RSXykkbtWT6CutY9ggxr5NBOasiQTHaTh/msLsDrciIKARjlQgeOWUA2Mi2UJgowa6lr6cLkkosIM/PP9w8zJT6B7hCh1gNYu8xlpjOxwSyOafQPsPdrKwonxPp4+Clnmjovz6LU4qGroJThAQ2JUAGq/+OPHz1fmrBWA6urqcDqdpKam+ryelpYGQFVV1WkFID9nNkqliCgKuFzSvzVjKogCrb02/vVhCaW13YgCTB4Tw1WLstCdMvuqFOC+awt45NUD3v5wQfCU1q+cm057j4X7rvVU7IgDy366s5rP99Zhc7iJCtVzxaLRGLQq+i0OctPCv9STQaUUOXlOZUFBIh9sqRx22T6Lkz6Lg2WzUimr6+Ef7x5m6YwUMpNCiQ7T+whXb24o4yerJ/DP94upbOxhYlYU+4+1cqi8nSsXZY3Y0jV9XCzdJjsPPbeHJ+6ei0GtQHJLaAf67//w0n7ae6zebb9k/iiykkL+q8osP37ONI5Ud6EQBeIjvocCkEI8oz2ABnHLMt39Tjbvr2PZzDSqW/q495oCzDYnOo2SEKOG5z4qIS8jnIdf2MOvb5zKwdI2r/gDUFzZyS+vm8wr647xt7dbWVCQSG+/fdgHH7cks62oiYWTE+nu8zw4KRUCi2ekMjYtAoUg0G928vxH+7A53Lyy7hi3r8rj+Y+OeEMKRAHmTUpk0ZRkFALkpodjtbu4ZnE2722p4L2BGfmx6eFctzQHjUrxb7c0S26PUWpKlJG0mABPVYTf+sfP9xBRFHBI0G91YrW7iAzVs/9YKwatirjIAO5/aif9Vo//17JZaRh1Kqoae3np02MkRQdw37WTeeyNQnr67YxNj6CwrB2Ha9B0GYrK2r3JYV29NjKTQ3h3UwUZCcH8+LIJWO0u3G6Z9h4LIQHaYWPVAablxlBa281dq/N54/NSLjong0deOTDEI7KhrZ/P99Zx84W5SE43w7sqepAEgeZOK+t212Kzu5g1Po7MxBCP8DO4jCjw/MdH2XHoxHhOq1Zw+6o8+ix2MhJDfJLRTmb8qAhvBfypDFaKAji/5ckCGZBOo0w5XNKwYpwoy4ToVBSMjkSWZSTpm29V8+Pn+8RZKwD19noe2AMDA31eH/z34PvfBcqzZHSmGDAIHfzvt/F9gxfqkZAFMNvd7CtqoqXTwriMcNLigtAqxRFvXifTY3Hx879v984CSbInQvN4TRd/uG0G2pP+NqJC4GhFFzPGxXHZwkycLgmNSkFJVSe7SpooyI7haHUjn+2p4/xpyXywtYqSk0pOW7ss/PnVg9y4IpcthQ1cMDsdk9kxpKooIlhHgEGNSinS3GHG6nBxxXmj0agVpMYFDRttOUhpbTdfHGzEZnfx08vzsdgcA/4XWew83ERqXDAOp5sdh5t4df1xfnbVRJQKgenjYslICGbNtirsTjd5oyKGDAxiwg1MyIyksrEXSYYdh5oQRYGZeXEYlCLRwVoevmUa/VYnLpdMoFGFTqUYaMb+eirovqnf4NlyDn4TfNvn9ZnGf7L/xVWdJEQa0WvP2luiD+LAvosKEZVSxOmWv5Nz4qt+p1uGTfvreW19KZcsGIUswJaD9ewuafEukxgVwN2XT2T/sVY6emzYnRIbT/H7uX5pDg88s8tbiRMZove5Zp9KQ2sfN1+YS7/Nxc+vmkRshIHPdtdid7pRO0XCgnXERhjpNtno6LHx2BuFXDAnndgIAzq1krAgLVqVAnFA1D8nP54xqWH8/qV9WE5q2Tpc0UF5fQ9/vXMWetV/93dQKsX/+XP8u+ZsO/5f17n/Te63IEBnv5OHX9jrrbL78WUT6Oy10dFj9YoxoigQYFCz+UA9i6clE6BX8fOrJ/HOxjJEEa5bloNWrSQkQMMbnw9t1x+kvq3P2/pVXt/DfU/u4BfXTuaRVw8QFarnzkvHM39SPBv2+YpAESE6ls1K43hNF698eox+q5Muk23EKsudxc1csmAUYUb1iNvilOGtDWV8tudE2/2+Y63ERxr51fWT0SgFFAqRdXvrfMQfAJvDzaNvFPLL6wtYMkPP4fL2IWldQUY140ZFIoqC9/oxOBZ3SNDUYWbPkWaMejXTc2MJ0ClRnDzEEwWsdjdmmwu1SoFeo0D1NaXCi3g8MAtLhxeuJmdHefyITvMbFgRPa5wfP36+OmfUaLevr4+2trYvXS4hIeFb2Jr/DFEUCAk5u2KEAwNH9sL5Oujtt9PRY+VIdRcGrZLslFBCArRoNb4/P4fTTWFZGw+/sM8rEn26q4aIEB0P3zKd6LDTH1eT2U55aQfpCcFDTI+7++wcruzg3CnJ3tc6eqz8a02JT+9x/uhIls5IZd3uWtZsrSYkUMvl52YSEaLn+bVHh/3edzaVc8Wi0by7uZyZ4+O4YfkYnv/oCAadigvmpNPVa6PLZCMnNQz3QCz7+j21HK3q4polOYQFaensHb50Ny0+mCljYtiwr443NpSyeuFo4iMMBOjVaNVKPtpehV6jZOHkJHLTwykqbWdSThRPvnOISxdmEhdhID4ygNTYQGaNj6Or1056fBAatQKdRklbt4XtRZ7kiV6zg9oWE5/srOFPP5pJZIieoNMe8a+Pr/M3eDaeg98E3/R5fabzVfff7nRzrLab+ZMSCQj4fh0zg16DRq1EEMVv/Zz4d87D+tY+XltfSmJ0ALPy4nhvc4WP+ANQ19rHE28VcuvKcaTHB+N2y9y2ahxbDjSw71gridEBtHZZvOIPQGevlcykYOYXJBIb7tmWpg4zn+yspr3bSkKUkZqWPupb+5g+NpaePjsJ0QEY9Ep+/NhW7r48n8XTkkEQ0GuUvLLuOM99dISkmAAeuGEq4cG+vxejy82GfXU+4s8gVruL9XvquOr80SgViiHv/yf8r5/j3zVnw/H/Ju6H38R+t3dbuP+fO31CNjQqBTmpYfz62d0ALJ2ZyqSsKKqaelEqRFLigiksbWPT/npmjIsl2KilvLaHV9YfZ0JmJDHhI+93TLiBzl4bBq2SBZOTyE4JQxDgkR/NpMtkp7bZxIVzM5iYFc363bXYHG6mjY0hJTYISZL5eGc1da0eT8bTRc1LkkxrpwWjXk34CH+HYzVdPuLPIA1t/Wzc74mo7+638+HWqmE/73JLlNf30tNn5/7rp/CvD4pp6vC0h45JC+OiuRk89kYhP1k9AbPVyZGqTox6FaMSQ1i/q4YPTlrvm5+Xce3SbBZOTsKoU9Pbb+eTndW8u6nCK3KNTg7hJ5fln/b4/jtcv3QMd1Vv9VojDDJjXCxRYQaCjJqv5Xv8+PFzgjNKAFq3bh2/+MUvvnS5Tz75hKAgz6NpX1+fz3smkyfScPD9bxtJkjGZRq7oOJNQKEQCA3WYTNZvrKXHKcO/Pihh95ETg3lRFLjjkjzGpYVxsqZvcUn8/sX9QyqE2rutPP1+MbetzGW4OQCnJFPd3MfaHdVY7Z5I0IvOyeCp9w77PAzsKWlhSnYU0sC+9llcPuJPbLiB+QWJ/Oa5Pd4khvYeK69bHCyZnjLiPnaZbIQFakmIMpKXEUFnr42L548iJEBDe4+V97dU0NLp+U0kRAVww7Ix7D3SitXuYs3WSpbMSOXFj4eKSzqNktBALb97aR/zJiZQkBONRqVg8pgY/vl+MbPGx5E3KhKzzcmm/fXsO9bKtUty2HW4iQvmpuNyS7yzqYKCnGjMVifjR0VQVtfDWxtKcbgk9FolK2ansaAgkYqGHjISgtlxqImefjs7DjVyzoS4bzzmfbjf4H87WD2bzsFvgm/jvD6T+Xf3v7C8HadLIj5cR1/fyMmAZxOiQsSg12C22BEF6Ou3/dt+Md/WeahQiOwZaFG96vwsmjrMbD4wtPVCqRC5dmkOzZ1mDld0cGjg73b+tBQmZkcRoFez9ZQEnOYOM9csyaaxrR9ZBrPNSWNbHzeuyOXdzeXMGh+PRq1ge1EjH3xRgSRDVnIISdGBSJLMn189wM+umshDz+0lyKjmrsvzae00k5cRiRJpyDF1SvKIM9kAhaVtLJmWhOq/nK3+Xz/Hv2u+reP/dQg3X+f98Jvab0EQqGjo8RF/YsMNhAdpsTvd6DRKfnLZBAIMamqaTZ4JRLWCF9YeIS0umHMmJvD6Z6VsPtDAQzdPw2x18snuGpbNTGXdrpohyVrRYXquWzoGs8XBjLwZ7Cpu4g8v78Pt9oSDXLIgk8b2foKMGmxOF/MLEum3Otm8v566lj6UosDqhZlEBOtxuNxo1Aq+ONBAY3s/yTGBJMUEYrE6KSpvJ8ioRqNW0GOyoZCGHjOlUmT97poRj8363bXMm5iAJMunFZo6e62IokBTez9LZqYSGqBFFAXK6rr5y+sHufGCXJ587zAHT4qTF0WBHywfw4xxsWw/dCKC/vmPjpKXEYHb6GZzUaNPYi3A8Zpu7v/nTh66aSoaxX9feROkV/DXO2fxwZZKisraMerVXDgnjeyUMCSni+7u0zXPffP4JxT9fB85owSgVatWsWrVqq+0rMPhQKVSUVVVxcyZM72vV1V5lOxTvYG+TVxnWSyr2y19I9usUIrsLG72EX/AMyB59I1CHv/JHAwD5fCiKFDVaPIaG5/K/uOtWOzZaE+52UiCwAufHPO5eZXWdhMerOX2VXn85tkTYk5okAZZkr37qlQIiALectnzp6fw6rrjQwYLVrun7HUkRMFzE7fa3ZTX96BWifzzvWL6rU7PdlyUx1PvH6al00J9ax9rd1Qxf1IiH22vorSum1XzR3HBnHTWbK30fndYkJZbVo7ltc+OY3e4+WRnDX0WJyvnplPX2kdBTjRvbSyjo8dGcICG86clE2TUYLY6iYs0snFvPaFBWq5enM2Dz+zm3msK2LCvzmdW3WJz8dr6UpbOTGXF7DRk2RNxCrDjUDPTc2MQvqWe6q/7N3i2nYPfBN/UeX228FX3f+/RVsICtYQYtd8jY3PPfktuCaVCwGZ3fye/ha/2nQJ2p5vkmEDqW/uJDtMPuQ+olCIP3DCF3n6717T5+mVj6DM7eH7tEVbMSiNArybopDYLpULgmqU5HDzexkfbqugy2QgJ0LBkRiqdvVZuWjGW97dUkJkYQmuXxXsfOFbTzY5DjUzOiWZXcTMdPTZvlebf3z7EQzdNRSFLOIcmsyOKgs82nEqQQY3wlY/Ll/O/fo5/15wtx//r3save7+VSpGGVk/bfKBBzU0X5GIyO3j3iwqMOhW/v20Gn+6sYd3uGm/bkU6j5JYLx7KlsIE5+fEEGdV0mWx8srOa8CAdd1+ej16n5BfXTeYvrx3wikvzJyUwZUwM/3jnEDXNJrRqBXPyE/j5VZP486sHaOu28sRbRdx9eT5PvX+YHywfw2NvFmEyO5gyJpoVs9NoaOvnUHkHn++tw2p3kRAVwHVLszHo1Byv7eJ4TRehQVp+ftUkT3KX4AnNGO6YCaIwpPLlZBwuCVn2BHaMFFoCkBIbRHefjW2HGodUwOemhVPbbPIRf8AzFn/6g2J+ef0Udh5u8mkd23KwkfOmJvH2xvJhv6+1y0Jzp4WEML3XnkEQQELA6nRjtrow6JToVAqEr9ArphUFVs8fxUVz0lEqRSJCDXR3m8+K88uPn7ORM0oA+ndQq9VMnjyZ9evXc/XVV3tf/+STT0hLS/MbQJ8B2F0yH24d3uBYlmFbUSNLpyXjdLoRBOi3jDy7Icse086TG5MFAdp7bT7izyAdPTZ2Hm5iypgYdhz2vH/u5GQfgzutSsGk7Gj2DAhU4UG6YW+uPX12gowatGoFtmFu1JOyo9lxuJldxZ7/JUYH8OPLJvDQ83vo6LHxxNtFXLkoi0ffKATgwLFW7rmmgI+2VxEdpicqVM/R6k7uu7YAjVqBxeaiz+LghbVHfbZn+6FGrlw0muomE+9sKvfZvtfWl7JwchJqpYKtRQ3eWehes4OfXzUJrUYxpKVikPW7anjkjlnc+48d3tf0WiUK8d+LLPbj52zD5ZYoLOtgXHrYd70p3xgqpQKb47udQT0dLpeb/NFR1DSbqGsxkRgdgEal8PHUuO2icby1sYxD5R3e17YVNZI/OpIbV+TyzIcl3H1FPgXZnnYN8FQTbS1s4N1NJ6KRu/vsvPzpMc6fnoJKIeJ0Sew/1sqYtHCfa+3ne+u4fVUeu4qbMVudaAYmAFq7LPRZnATrhh86CcDyWekcHKEKaMXsNEQG5Tk/fvwAIAjkjYrw+hX+7e1DNLZ7zse0+CBKqjr5dFeNz0esdhePvVnI/ddNZu32KqblxvLprhr2HW1l8fQUfvv8Xm5YloPZ5uSmC8aiUoqEBmoxW5088Mxu73psDjfrdtVQ1djLNUtyeOq9wwC890UFCwqS+Gh7NQ/8YAo9fXaOVHVid7r5eEc1hytOXIs6e60olQr++PJ+uk5K4lq/u5brl40hIyEIo14Nw4Squ10Sc/Pjhx3HAkzNjUGtEBCAaxZn89Dze4csExGsIy0+iOM1EjrN0GvT7AlxvLLu+LDrl2WPR9no5FCOVnd5X+81O3C6pNNWHdW2mEiNDsAxcH9xIfD3dw5TVH7i+peXEcFtF41F8RVEIMktoRT4t5IS/fjx859xdjjYjcAtt9xCUVERDzzwAHv27OHxxx9n7dq1/PCHP/RZLjs7m3vvvdfntS1btrBu3TpKSkoA2Lx5M+vWraOiogI/XxeyT4vVqbR3W73u/m63zKiByNzhiArVewfhg6hUSjbtrx/hE7DjcDP5WZEAXLc0hyC9yud9QZa4bmmONzb9dCZy731Rzs+vnoT6FCO6+Egji6Yls2nfif7tupY+DpW3MyHT892dvTZUShGt2rP9kox3hvvq87N5f3M5722u4NfP7sHllvnt83t5/M2iIWKULIPDKfHRtuH7wDfsqyMu0ojqJIPGLQcbeGtD6WlnURwuiaYOM/3WE1Pai6aloDhNDOpp3vLj56zhSHUXFruLUQnB3/WmfGNo1QrMw3jSnEmEGNXERhhYUJAEwILJid73EqMC6Lc6fcSfQQ4cb0MQBEICtbglmX1HW7jivNEIAmQlh7FmBM+M9btqiAzVkxAVgEIhDhG6bQ43ioHJhuSYQK8pree9kY+lJMnEhetZPmtoBfKSGSkkRBr9orofPwOIooBDhve2VPHn1w5ysLSNhrZ+LpybjmJgPHZOfgIfjpCU6pZkSqo6CQ7UYNB5xndKhUhYkJac1FBiI4y8/lkZj7x6gDc/L8XllnhmTcmw6yqr6ybIoPYGAVQ19hIbYaCsrpumdjO/fnYPa7dXY3e4fcQfgHkTE71Vhqfy3EclGPVqJFlGFoQhiVaSJJMUFcDqc0ezeHoKmUknxsEGnYoL56QjuSXcbomU6AB+snoCIQEnPHHyMiL49Y1TCTdqmJEbw9IZQ689Bq2K3v6Rx+K9/Xbv8Rtk6pholKIwrKB08vY1dJgRRAFZEPjbKeIPQFF5O/94txjZP2j04+eM4qytAAKYOHEiTzzxBI8++ijvvPMOsbGxPPTQQyxatMhnObfbjXRK7+2DDz5IY+MJv4BBgej2228fIiD5+c9QiAKjk0NHTGGZMDoSt/vELK9Rq2TKmOhhK1V+sHwMGoUwpEXjtIliskx8pJG//3QuWqU4pAxVlkEtwAM3TKa504LTLTEqMYSyuu4h6yqr6yE6TM/vbptBXWsfHd0WkmICMVtd/OW1g0Mqg7YWNnL5eaM5cLyN0EAtOrWSaWNj2VXc7EnlGRBkYiMMbDtp5mekFrhBzDbniGkTkiRjs7vIGxXB3qOtBOhVzJuUSGZiCAatatjPDHKyaDQtNwajTjUkdU0QBFxAn9VJj8lOaJAWg1aJEvlrSYPw4+fbZkdxMxHBWiKDz3wz1/8UrUpB8xkuAImyzKIpyTy/9ii7S5r50SXjmTcpkS8O1FOQEz3E2+dkthU1UpAdjUopsm53LfMmJfC7W2fgcktDYpkHcUsydqebfouDqbkxvLbed3Y8PtJIZ4/NYzjb2Ou9LgsCBH+JIakoyyybnsL8SYkUlrWDLJM3KhK9RoHov1D68QN4ziWLU+Knf9uO+aTJp/L6HiZmRXH14mye++gIQQEaQgI0pMcH09FrpbTWd3zW3m1hTHo4ewcquWdPiKPLZGPlnHQa2vq46/IJKBUiapUCh9M9YgsVQHlDD3ERRsrrewgyqrHYXIQGauns9QjA8ZFGKhuHJgyPSQvj4x3Di82yDHuPtLD5QANBRjU3Ls8lUKvwjl0lQaCl20pVYy/9VgcTR0dx2cJMjlZ1Mjc/AZ3yRCW2IMvkpYbxx9tn4HTLiALo1AoklxuXyzMuTIw0MmdCvE+EfW2LicykkCGtYYOMSgzh/S9OTH4nRQeQGBWARiGweHoy72waOjEeaFCjUyu576mdPPrj2QgCHCofvvKxsKwNq9ON/n84ndWPnzONs1oAApg3bx7z5s077TKlpUOjIDdt2vRNbZKfAUTZU+Hys79tGxJLGRGsIzMxxEfQEWWZG5aNITMxhA+2VtLb7yAtPojrluQQHaIbYjrodLqZmx/PxhGqgKbmxhCkV6NRjNzKJMsyCiA2TM+zHx3l8nNH84eX9w1JcblmcTb9FidKhUhrl5nYMAP7j7Xx2Z7aYddrd7pRqxTcvmocSoXItkONRIcZ+M1N01AqBIorOjBolUgyPg8pdS19pMcHU9HQM2Sd8ZHGIbNHp6JQCESE6MlKDuHi+Zms2VrJh1sr+eGqPCJDdD4z2YOMSQsjJEjDqnMySI0PoqXTQkePhdgQrXcZQRCwSzK/e3EftS0njNczE0O46/IJqAS/COTn7KLf6qSoooMZuTFfel6dzWjVCiy2YQxrziAEwdOetbPYYwb9+JuFzC9I4p5rJhFoULPv6PDtqwB2h5uYcD0hAVpGJYYwc1wcn+2pZU7+6dvAA/VqTGY7Tpc0JIXxkgWj6O1zMGtCHI++Xuh9ff6kRLQqkSE3tFP3R5YxqETmjIsBBjxY/BdIP35OIIq89tlRH/FnkP3HWpk3KYHc9DBiwgzkZ0VR19LHuIwILl2Qydsby7ztSqlxQSRFBfDkO4dIjglkZl4c5fU9xEUFIIoi1c0mNu6rI9io4cYLclEqxBEn2gL0aqx2z9jv3MnJbD5Qz8LJSWzaX48gwJKZqT42AidzukuC3eFGqRAoqezk5//Yzl/umIVa8Ig/H2ytYu2Oau+yJZWdhAZqefiWaZ5lTl6xKNDSY+X5tUc4VtONTqPkvClJnD8tGeXAGEyUZa44N5NF05LZcrABtyQzITOSvFER3POPHUMuQ1GhemLC9LR1W9BplJw7OYnF05NRIuN2y5w3JZn2bhtbCk8ISuHBWm67KI/nPjqCW5L5cGuVT9XmcFhsLvSn8Ufz48fPt8tZLwD5OXORZZkwo5pf3ziNpz8spq6lD1GAyWOiuWpRNmoRTg1FECWJc8bHMX1sDDKgEASUp94E8ZQOyzJEh+qZODqS/aeY2wUZ1cwaH8/dT2znTz+cgforPN+1dlt4fu0R/u/KiRRXdFBe30NooJbp42JxOiUa2/opLG9nUlYUL31ylIvnZ44oAOWPjiQ6TM9za45QXt/NLSvHeXvWe/vtZCWHcs81BbjcEuPSwzk0UFL8wZYKfrI6nyffPeRNDgOPYHbD8jFUN/WSGB1AXUvfkO8MD9bS2mXB5ZJYfe5oHnpur7da6M0NZdy6chyPvVlI90ltefGRRlbNG8UTbxZxzeJs3t5YxvHabv5291yfY+4G/vjKAR/xB6C0rpu/v3OIH100DmGY/nY/fs5Uth1qQpYhJzn0u96UbxSNWonV7kKW5TNW6FIqFewaEH/A8zD12Z5aPttTS96oCCaMjhxy7RlkYnYUE7Oi+ePL+7jj0vE8/Pw+mjvNpCcEExdh9HqJnExUqB6DTsWVi7J54/NSlAoBl1smJszAdctyiA0zUOrs4l8flOCWZPRaJctmpjJ/YsKXij8n4zcw9eNneBxuyeecP5VD5e1cuSiL+57c4VNhrVaK3HV5Phabiy6TjfzRUXy8o4rrl40hyKihoa2fqFA9T757mKrGXkIDtSyZkYrD6ebDrZXMzY/n871DI9cVokBSdAANbf1Myo4iIdpIp8lKZIiOtPhgbl81DlO/A51O6VPFDdDUYSY1LoiqYaqDADISg3lvoMLGYnOxtbCR8woS6Ohz+Ig/g3SZbLy1sZwrF2YiDwySRVGgzWTn53/f7r0EWe0u3t9SSXFlBz+7ciKKgTGYKMtEBqhZPT8DQRSx2l0oRIEHfzCVpz8opqGtH1EUmDImhqsWjUarFHnqZ+cAAlqFgNsteUdzoiRx5aLRLJicSEePFZ1GSb/VydMfFNM8EDVfVt/NitmnD97Rf0kVuh8/fr5d/AKQn28WWSYhXMf91xbgcEooRAG1UkCQ5RGrctxu6cQPU5Z9xtuSIGCxu6lu7sWgVREfaeTmlbnsOdLKloON2OwuxmdGMD4zkqfePUyfxUFpXTd5qaGnTfhRCrB6YSYPPb+XB/61m9y0cBKijJgsDp54s4gfr56AZJU5Vt3FxNFRdJvsiIJAWnwQlQ2+N32dRsny2WkUlbVRWtfNJfNHUVTW7jWjBthzpIX9x1r51Q1TuH55Lnc9tgWnS6K338FjbxRy5aIsDFol3X12dFolsgx/f+cQkiTzi2sn88Azu+jtP2HOp9cqueXCcTy/9gg/XJXHmm1VPq1irV0W/vl+MTdf6DFDrG4yERNuwGJz8pfXDtDb7+D3L+3n/66ciMPpptdsJypQ6/0bme2uEQc3h8o7/OW9fs4q3JLExgMNZCWFDPE++L6hVSuQZI+vzen8HL5rFCN4sB0qb2fF7DS2HGwc4rERGaJjUlYUj75xkEsWZHK0uovmTs9DyftfVHDrynE+CUDg8a346RX51DabMOiUXH5uJhfOScfplhAEgbXbqti4v55xGRFcv2wMWrWCxOgA9CoRt1/Q8ePna0FAQBSFIamrg6hVCj7eUT2kvd7hknjqvcPcfOFYQgO17DnSgizDp7tqUCpELj9vND//+3ZvpYvJ7OCp9w5z3pQkDFoVU3NjKK3r9plEE0WBn6yegFuS+OPtM7E5XLjdEhfOSWdLYQNxEQb6LE46TTZCZQ0/v2oSD7+w17vt63bVcMPyMfzuxX1DxrWTc6KpbjL5CEZF5e2cW5DIruLhjZ/BYyNw6fxR3rGwW4bn1hwZVn+uaOiltctCXOiJRC4Egc5+Jx9uraCyoZeYMAOXLBjFr66f7BmLKwTUCk8MruSW8NwF5WHHyUrBs4/7j7XicElD9jE6VI9Oo2T8qAhP2+sp5I+ORKcS/VWQfvycQZy5o0E/3xvcbk+blW7Q2l+S/6NaEUkUeenTYz5+EBqVgv+7ciK1zSbGZYSjVio4XtvFmm1V3ntNQ2s/E9LDffyGBlEoRBQDLWKpsYFcsySb1z8rpbiyg+LKDk+p66pxvLWhjKsXZxNs1HDgeBtTx8by9AfF/GT1BI7XdLGlsAGb3c34zEgunpeBUimycV89/8/eeYdZUZ59+J6ZU7f33iuwhV36AtJBikhRUSxYsMYaNbHEWKKJRmNirDGiYheVoiIiiCK9t2VZyvbeezl15vvj7B447C7KF1TAua9LL536zrtnZt75vc/zezSSSGKUD0u+PdqzX2SFt1fmcMdlA3n+7jEsWXuEfUdr0WpEWjss9I/1Zcm3R6iq76Dd5JjBuXhMPKDwl5tHUlrdSn55M4E+BgJ93Xh/dS4Wqx2DXiI7v6dhamV9O+W1bezKraax1UxTq9kZ7gyO2aSK2jasdpmvtxZx12UD6a5a0VuY9omYzKoApHLusC2nmoZWMzNHxfzaTfnZ6TafbzdZz1oByGq1MzI9jM++7+k1oSiw53ANT9w8glVbiti8vwJREBg1MJThKaH85c3tNLSYmDTMQmn18Y+62sZO3vziIHdclkFDi4mKunYSIrwx6rUUlDcTG+aFXQZRFNFpFR7971aX6Mj9x2qdnhaPXD+M+BDPn78jVFR+I+gkgTEZ4X2m8I9KD+PR/27tdV1jqxkfTz2NrSYCfYwUVjZTVd/OLXPSeWNFdq86wzfbi3ls4QieeXcnf711FAUVzRRWNOPlriMm1JsNe8s4XNSIrDiE4JrGTsYPimDepES251Tz1FvbnYJPZnIgz9w+moraNuyyQmSQB25GLX+7bRSffXeM3MJ6vD30TB4ejbeHjpc/3e/SFj8vA2JX1GFfyLLMiSNlq6xwuBd/ym52H64heowjRU2SRIpr2nn8zW1Osaa4qpVtOVX87pJ0hiQHOiIZf2I0oyLLzBoT32elsrnjExBlmd9dks5/lmez+4SI/MH9grh1TtpPKgWvoqLyy3F2jgZVVE5C0ohs3l/ZwwzUbLXzt8U7eOzGETz2xtZeX/yJUT5O/yBBcIg+CNBhkTlwuIZjpU3ER3iTkRjIuMxwokO8MHdVgWlpt/DB6sP4eOkJ9DFwyfgEnvtgN4/cMJzsvDr++vYO0hMCmDs+Ea0kYpcVtudUkZkchMlsJzzQvUeE0IkUVrTQ0m6lsq6RhEgfLp+cTHlNG51mG2XVbVw1tT/Pf7AbURT4/ZWD2HKggt+/sAFwzH73j/Fj2IBg/r1kL4oC9145GKNeg7tR22v5ziBfN46WNPY58DhS0ojVJtNpsqHICt1z8l7ufeduiwLOyhkqKmc7NrvMF5sLSYzwJtjX7dduzs+OUwDqtBHg/Ss35hR4uWmZnhXDqpPKPft66pk8PIq80ibsdpmrp/ZDwSEKPb7o+AfO5v0VZKWFuuxbVtPG0+/sJNjPjcRIH2TZi78tdpRRfurWkeg0IoLdjtlidxF/TqbTbEMQ1AlsFZUzhWyXuWxiInuP1vaI7Bs3KAK9VsJs6d1vB6Ctw8pz7+9GI4lMzYrhuTsvQFbo1ecQHPdueW0bPh56aps6UGSFsZkRfLz2CO98ldvrPqU1bbSbbLz1ZY7L8uLKVmqbOpEkkZzCWqobOkhLCOBQQR0Rge6MHRROoI8bb3ye3ev4b+boOOxWGyNSQ1neR4WzYSkhaMXjPgkCAnpd333i7aFHEMCmgNUu882Ool6j7N/4/CDp9437SbYI3SgK+HnquP3Sgby+PNvpoaSRBBZenEqgl6HLT1Phd3PS6LTKdJisuBm0GLU9C7CoqKj8+qhfbSrnBGab0ueL0i4r5JU1kRTpy5GTZkj8vAzEhHghywqyINDYaqa4upWIIE+eWLTNGQGzdofjQ+mpW0YSHeLBvqN1fLerFI1G5MqpycSFeSPKMvFhXkwZHs0rn+7jjssGcrS0iQPHatl7uIZJw6Koqm/ng28Ok54YSEZSIHllTehOKl9/IoLgqMDl723k6Xd20t5p40hxozOCJynKlzsuy8DLQ8+27Eq2HDieM1/T2ElLexWl1W08cv1wZEWhvKYVRZaZMCSSD1Yf7nG++uZOQgM8XGbKTyTU3529R2sZPTAMrSRgszle3EadxOB+QS4zO92MGxzxk4xRVVTOBtbvLaeuycSMETG/dlN+EQw6x2v+bDeCFhWFWWPj6Rfrx8a95bR1WklPCCA52pcdB6sI8nMjO7+eNdt7+neAI2UkLqx3hau6oaOH98fnG/K5bU4ail3GoNMQ6GOktqn3j8fYMC+1fLuKyhnGIAk8/btR7MipYuvBStyNWiYPi6ayro3qhg4MOqlHChiAtiva2GqTmTcpCX9vA/9Zls28SUmnPJ9OK5GVFsoXGwvYe6SWaVkxp7QGCA9053BRg8syo17D3Vdk8sqn+1zEpk/XHeWWuekcK6tmxYYCrr9oAPHhrhYBggDXTOtPgJceWVbw99IzPCWE7TlVPc5x9dR+CMpxLx69RuDC4VF8sbGnZ1Cgj5ERqaGs2FjIhn3lSKLIqIFhPHLDMP798V6XFFirTaamsZMIv9OrfCnICoOTAnj5/nFU1Xeg4PBM604jc26nKLhphOOGz6r4o6JyVqLmbKicM5w8S3QiNY0dXDox0SXFISnKlydvyUIngl0QeWHJPv7w8iZkWeFfH+1xSX8Ch0fGM+/txGZTGJwYwL1XZHDPZRn0C/dGozgqLAiKwiVj4/nT9cPJL28m1N+NG2elMjw1hNeWHeDtlYfoH+PHvqM1TBgSSUOLiZhQL/ryXs1ICkSrEZ3tXrujmDnj4tF0lWU/WtLI39/bRWu72cVwOiLIg3uvHMQd8zKYNDyKDrONvLImSqvbaG63EurvTlp8QI/z2WSFy/sYJOm1Ev1i/Khv7mR4SoiLgakgK9w6J43RA8PptuqQRIHJw6K4cko/VfxROSdo6bCwYmMhafH+BPmev6XfT+R4CtjZXQreaNSyPaeKt77IwdfLQGKkD8dKG6mq7yA23IfQAHcuyAjvc/+RaaFYbHYuGZ/QY11KnB/RIV7OykEA9c0m7HYFuyCwYkM+V0xJ7vW4k4dFYTyFiK+iovL/Q5YVtCiMHRjK/fMzufOSdAJ8DLy98hB7Dldz1dR+ve43a0w83+8pZfKwKNo6rLy4ZB9HShopqmwhMdKn1320GpFgfzfiI3zY1+VTs2FfOZOG9V69ShBg8vDoHpNeE4ZE8tXmwh6RRrIC/12ezbSsGADeXnmIgYmBvHT/OG6/dCB3XjaQV+4fz9iBYc6IGFFRuOniFH4/P5P4cG+C/dyYMTKWf949Bg+95KKdyHaZmaPjiA316tHOR24Yzp/+s5nPvs+jprGTyvp2PvvuGO9+lcvvLhnY67X9v5AVdAJEB7oRE+juiCJSx34qKuckagSQyjmBAI7ZlD6MiNPiA+gX4c0L94yh3WTDoNdg0DhCTwVRYPXmIg4W1APg6+WoltUbdU0m2jqtaIyOW0PG7ojS0TpexjabHWQZg04kyNfIJ98eo6Kuzfmi9nTTcuucdN5fncvW7EoeXDCUoooWrpnan3e/dg0z9vHQM2tMPK+vOMDNs9OJDfOisKKF5evzeeT6YXy5qcBRLt6oxdtD7zR1jgz25PqLBvDiJ/toOiFtIS3Bn6su7Edjq5n/rsjm8klJTM2K5mB+PTqtSHpCIPuP1ZKZFMj8Kcl8uu6YM5TX11PP3ZdnUlzZwl9vHYm+lwptkqJww4z+XDklyWkoa9CKKH2UVFVROdtYsu4YCgoXpIf++MbnCfou8aLDfHYLQDIChRXNNLU5xG43g4Y/XjOEd1flUlDezLSsGMcHWW51j/fA6IFhhAV6sHJTIe5GDX++YTjZ+XWYLHbS4v0J8XPnoVc3uezTP9oPnUagrK6DVVuKmDAkkgcWDOHzDfnklzXj723golFxZKWGIJz8MFRRUTljdE82CRJU1LZx3YwBRId6kV/WxJ3zMvhyYwHltW2EBrhz+aQkKuva2bSvgsduHMGTb25zHuerzYXcOS+Df7y/y0XwFgS447IMFFnh+Q92O8dr7Z1WduVWc9OsVN5ffdg5Kehu0HDdRSkcyKslKsTTRQRKTwjg7+/u7PU67LJCbVMn188cQHp8AJ5GLTpJYGpWDM3NHVgs9h4RMaKikBHnT0qMH7KioJNEZLuM3JsZMwoPXzuUivp2dh+uwcdDx+iMMPYdqyMiyBNZVlxSWUuqHalq0SGeziqKOo1IoM//NvmhBvWoqJz7qAKQyjmBVoRrZwzo1RTQz8tAYoQPVqsdrQABnjp8fd1pbGzHZlMw2RRWbSlybn+qkF/ApVqDXRCobepk56FqjAYNI1JCcdNLaAXHzPrCi1PYkVNFfYuJtPgABiUHodUIpMT5ExnsSafZRnpiABpJJCXen3U7S2lsNdEv2o/oUE9eX5ZNZX07kiRw8+w0Hn9jG9n5dRRUNDNhSCRjMyPw8zbg46nHzaChw2Rj/pRkXvh4bw+Pn+y8er7xLiYm1IsLR0TzxucHcTdqSYjwwWaX+WpzEclRvowbFIEowoPXDsFqldFoREL83HA3aIgJ9nAMPvqa1ZFlDJKAoUsgU8UflXOFvcdq2ZpTzbThUbj/hkrSiqKAXivRfpangLV2WogMPm60PGNULMvX5zurD369tYjmNjN3zsugoq6dDXvL0GlEJg2Lxt2g4enFO6lrdszKr95aRHK0HxpJZMuBcm6bOxDLCc91nUZk+qgYJFFgU1d1xu92lbLvaC2Th0UxfWQsLe0WNuwpY9iAIHWgpKLyCyDLCsF+bkSHevHn17fS1Gom1N+dScOiCPQ1Ut9s4mhJI51mO94eOmoaO1wCUBpaTCxemcP9Vw/hSHGDo/pVgDsThkTiYdTw1peHeqSUrd1RQkZSII8uHI7JYsditWOXFb7aXMihwnr+fvtoVm8tdopD8kmVaU/GbpeZNCgCs9nWpZQIzms71T4ijpQM+RRjKkUBCYWoAHfixsVjVxTazXbqm0yEBrgzfnAEAIs+P0hbV+GOnYeqSYkPcApAt12Sjl4UjlcLU1FR+U2ijmtUzglkWSHc340HFwxh0RcHqWtypIMNTAzkljlp6HqJWOlGkXFJ95IkAZ1GdPkg6EYjiXh35S7bBYEXP9lHdn69c/2H3xzhmmn9GJcRTkKYN7XNJgK8Dfh7G0iN86e0uhV/bwN1zSbeXnkIUQAvdz1XTe3HGyuyyUwOwstdx5bsCt77+vgsdmOLmWXrj/Hw9cPYcqCCvLImquvbGdo/GKNOor6pk6lZMazdXozFau/V4Blg474KRqSGUtPYweWTkli5qYD9x2qRRIHRA8OYMTqOh17b7DQSFAS4dHwicSGeYJdR5RyV85GGFhNvrzpMQrgXqbF+v3ZzfnGMeomOszgFTBQFbBY70SFeuBs0tJts9Iv249N1x1y225JdyZbsSkL83fjD1YP5YkMBa7cXM35IpFP8AbDZFXK6Ij4HJga4ePvEhHpxzbT+6LUiigL6E6oXNrSYXCo26nUSjg849WNJReXnxq4o7D1aS2iAuzO6ubK+nfdOiJ6WRIEHFgxly4EKZ6r8iRRXtfLEom0kR/ty06xUlqw9Sk1jB20dWmaPS2DrwcoeESwH8+tYMH0AWw5UsmZHMWaLHb1W4sIRMXh76Hh04XDe+jKHY6VNNLaYiQjyoKymrddr6Bft5xB/fkYURcFqs5Nd1MgLH+91Xs/qrUVEhXhy31WD+evbO7DZZbQaEV9PPaMHhjN7bBy+HjoUNW1LReU3jyoAqZwzCIpC/0hv/nbrSEwWOxpJRK8REVFOObuikQRiQr0oqmwBHDO9s8cm8Mm6nqXZ501KRC8JiKLAxn0VLuJPN+99fZjMpCB8jBqCvfUED4nEbpfRSiJB3nq+21tORmIgOQX1FJQ7Uhr8vAzIitLD7A8cqW1lNa0cLmrkL4u2MWNUDNdO70+QrxsPvbqJBdMHsHJTIReOiOai0XGn9EKy2WVkReHNL3IY3C+Iu67IxM/TQHObGa1GpMNk5dk7LuBAnkMUSosPwE0nqVUaVM5bzBY7ryzPRhBg6rAohP+3AcK5i14nndUeQBqNhK3TxtbsSu67ajBvfpGDxdZ3BaCq+g5a2q1MGBLJ0ZIm2jqtvaYIaySBOeMSqKxr56Frh3bt287GvWXETuuH1WrngsxwVmwo6PU8EwZHopOEXtMxVFRUzixmm8K6naXMGBXb5zZ2WUGrEWnrtOLtoUOrEV2itp3Hstg5VNjAztxq4sK98fHQMTwllAcWDOW1pftpbnNMovl7G7jr8kw++PoQRoOWe67IROiK2impaqGx1cw/P9zNhSNimDcpCS93HTfNSuPxRT2rzg4dEIyXm/YXyZEy2RT+fYL4001JVSub9pczMj2UDXvLmT4yhrhQT0RBQJFlVfxRUVEBVAFI5RzDblfQAB5dxqYoyo/OzWoEWHhxCn9+3ZE+tjW7kpgpXtw6N90lt/zKKckMiPZFkRXMMqzc1LPaQjff7izhykmJjpzurvBdu11GUQR8PPQ8/+FubpyViigI5BTUU9vYwW1zB/LSp/tcjmPUa7h6Wn9e+cyxXKeVuCAjAjejhoq6dhpbLYBARV07ry07wORh0YwbFNFnuzyMWmx2GaNeQ4ifO+EBHlQ3dGCy2ln+Qz45BfW8+sfxjE0PRVEcbVYTulXOVzrNNl5elk15bTtXTEzE7TeU+nUiBq1EW0fvUYNnA6IoUFTZwrSRMbzy6T5mjIolLMADjSRg60N80UiC85lu1Gu476pB5BY2sHpbMZ0mK2kJAcwaE8+y9XkcOFbnsu8TN41wpFsA3m46LhoVy8rNrs/7IF8js8fGnzIlQ0VF5cxR09hBY4uJYD+3PrdxMzgq9j1wzRAqatu4ZU4ar3y232UYY9RruGZaf15ffgAAT3cdpTVtjEiD6BAPnvndaBpaHH6P/t4GJFFg6shYlq/P49n3duHppmPSsCiSo3ypbzLxyA0jaGo1oygK/l4GREXh6dtGsfirQxwpacTbXc+sMXFckBGG+AsILJIksje3qs9UtI17y7n7ikw6TDaiQzxBVpDVKEYVFZUTUAUglfMeWVYI8zPy+I0jWPTFQcpq2vh03VFmj43n0RuHIyiOIH+dJDgEEQBFceZQ90Zzm7lX3USWFZKifLFY7by4ZB9+XgbmX5iMVhI5VFDPn28YzpbsCuqaTPSL9mXc4Ag27SsnPNCTcYMiGTUwjNZ2C8+8s5Ob56QBUNvUQUSQB8dKm1izvZj4cG+XiKYTmTcpibgwH267JJ1tByu5+5/rsZ80SrDaZGziby8KQuW3RUl1K68uP0h9s4m5Y+MIOcVHxfmOl5uOuua+Iwd/bex2mYggD/YereGe+YPYcqCCPUeqmTw8mq9P8G/rJjM5kJwTKnp1mm2s+CGf+ZOTSInzd/p8lFS1cjDvuPgjCHD5pCQiAt2dUaOiojB7TByjBobx1eZC2jutjBoYRnp8wClTi1VUVM4seq2ExSZT32wiIcKHvLKmHttMHxnLsvXHmDAkkl2HWwkLcO8aV1VS29hJ/1g/UmL9eHdVLjWNnWgkkVB/d8wWGys3FZIY6cszJ5g4//W2kciywve7SkmNC2Dm6Dg6LTY27C3nh91lPHFzlss46vUHJiAKEOJj4A9XDsKhTyvoJfH4+PFnRhCEPm0AACw2x/P0ltmpSOoEn4qKSi+oApDKbwJBgdhgDx67YTgWu4wkCug1AsoJs8snmkNrJIGBiQFsO9gzZQtgZHoYch9fBnpJ4KFrh/K3xTtpaDHxyqf7GTsogklDI2ntsDBhcCRBvkZ0GhG71c7U4ZGMGxTBluxKXlqyl4IKh7BjsTmMDr/dUcKVF/bjhY/3AvDu17n84arBfLW5kF2Hq1EUx4zXJRMSCA/0wGKz888P9/TaNj8vA0adWtJY5fxEURTyy5vZ9M0RvttVSoC3gasmJxLg/dso+d4XPp56CnoRjM8WrFY7bgYNBp2GI8WNDIj1w6jX4m7UoJFEvtlahMXmeG5fkBnOqPQwnntvl3P/QB8j86ck88HqwwwdEMI7Xx0CYOygCP68cASVde3IskJCpA9BPgY46UNNVBRCvPXcfPEAZBlEwVGZSBV/VFR+OXw99bgbtby/Opc/XD2Er7cWseuQI9LFqNcwfWQMvp56PvvuGKXVbdx75SAaW0zUNHQw64I42k1WPt+Qz5K1RxyGyaLAHZcN5OuthVwzbQBPvrWN2DBv5/lCA9xxN2jR6yTGDAqnrsnEih/yMVvtDOoXxPUXpbBiQ55T/Okf44tGFEBx2A4IHP+I+qXEH8e57AxMDHDxKzuR+HBvPAwaBDXdS0VFpQ9UAUjlN4PdLiMBRskR/aKcwtdBUBSunJLM7sM1PfLLQ/3dSYzw6bOamCIrxIZ48vL948nOr6O+2URqnD8hvm5EBbihKI5IIXtXWXerRUboqjbWLf4ArFifz+2XDuS593dTXNXCgun9+XTdMdo7rTzz7k5mj43n6mn9kRWFusYO1uwo4f2vD3PFlGSGp4T06je0cGbKLzpTpaLyc6MoCkVVrWw9WMXuo7U0tprx9tAxYVAEGfH+SL0Yhf7W8PHQ026y0WGynrVpcHpJxM9Lj5ebHp1O4sm3ttPaYWH0wHAevXEEGkmgrdNKUUULkiiwYPoAmtrM9I/xIzLYA0kUmD85GYNeQ6CvkdrGTn7YU8YPe8oI8DFg0Gl4KHloD/GnG0UBm9WxTn06qqj88uglgQeuHsJf3trGM+/uZPKwKB66bhiSIBAa4E59SycH8up46NqhxIZ6oRPB4GMgzNcIKOh1RiYMiSLQxw1vDz2xYV5s2FvGzNFxHC5q4OIL4vlmWzEACRE+3Do3jaZWM1uyK7h0QiL+3kZC/NzQaETcDVo++OYwO7rGUaIocMPMFCSBU1YB+yVQFAj0NpIc5cuRkkaXdYIACy9ORUJ9jqmoqPSNoKi1AM8odrtMQ0P7r92Mn4RGI55QLv38eVWcqesSRIGmDivvfJXLvmO16DQiE4ZEMndcAlqBn1RGU5JEBEHo8gc69fayINDUZmHdrhI6TDaGpoQQ6u+GUa9h28EqFFkhIykQWXEMRtwNGtz1ElabTGObhbdW5pBT0ICbQcOfbxjOocIGPt+QT0u7hagQT66bMYCoIA/Es+iW7+1vFRjo+SN7nZpz6R78OThf7+uTaWw1s/NwDRv2V1BR146HUUtShDfJ0b6kxAfS3m7qU6Q935EkAU9PI62tndjtiqOSzpqjPHrdEGJCvH7SMX6N+1ARBFo6rRRUNBEd4jB1zs6rIzzIgxEpIbR0WDGZbRh0EqEB7rgZNNjMNmc6lyAIaDQSHVY7n353jPW7y7DLMoOSg7h2en+8jJrzwtD5t3KPn638Uv3/v96DcGbfh7/EdYuiQIdVZkt2JUWVLQyI9WdQciAGjQAKiKKILMu9Fv4QBEAjYrEpNLaYsNoUPNy0FJY34eGmIzrEi6Y2MzqthEYSKKlqJcDLUcVVVJSu54eITYEVG/L5ZlsxJoud/jG+3DAzBX9P/WmrPz9nn9kFgdXbilm1pYhOs43kKF+unzmAIC/DOe3teLY9387EfaiicrahCkBnmHPp4/Nse8ieKc7kdQmCgCKA1a4gCPzsFWEEAbRaCVEUAQW7XcFqtaPXa/DyMtLS0tlriVFBELDjqJAhCAI6SUAUwGSTkbtCoXUiZ90HsSoAnXnO1/saoKXdwo7canbkVpNf3oIoCsSHe5Me509MiCeiKPQQP36LnNwHnWYbLy3L5tZZKQzrH/yTjvFr3oe6rvLriqIgigJC16x7u9mOoihoJRGtyCl/36IkYrbLoIBWEhEU+Vz+JnLhfL7HzwVUAejn/905xkGOybPTPZcoCuj0Gqx2GZPFjojg4vEoCAJarSMV3mq19fpckDQiZpvsTCXTCJyy2mxf/Nx9JkoiFruCoij/UzvPJs6255sqAKmcj6gpYCoqp0BRFMcHRJdn8s89e6woOCqL4VoCuXvg0lfqlqIoiDi8K0BBtivIdN3gguPA9r6rKquonFXYZZm2ThutHRYaW82U1bZxqLCB3OJGQCA21JOpw6NIjPDGoFNfYz+GUa/BoJOober8tZvyk7BYen9YacHxPJNlfuy7QLbLLtuf259EKiq/LazW//+ARZYVTF1FPBwJr4rLZICiKFgsPSfSTsRuk13GT2erpiLbz412qqionF2oI2cVFRUVlV8ERVFo7bTS2GKmocVEXbPjn8ZWE03tFlrbLbR1Wukw2Vw+2DWSSESgOxMHR9AvyhejXn11nS6+Hnoq6jp+7WaoqKioqKioqKj8iqijaBUVFZVzEFlRaO+0YrbaEQUBg07C8D8II4qiYLMr2Lr8qgRBQKcVkcS+TZS7BZ2GFhMNLWYaW820dljoMNkwWe1YrHY6zTbaOq20tFtpbjdjO2EmVpIEvN11eLrp8DBo8AnywE2vwWjQ4KZ3/ONh1OLppkMUhf/3talAVLAHB/LrsNllNKoxtoqKioqKiorKbxJVAFJRUVH5EWRZocNso8Nsw2S2YbHJXcbeDr8BvVbCqJcw6DRouqrM2ewKFpsds8VOp8VOW6fVEeFismLuSnGRRAFJEp3ii10+7lNi79rf1nUeRQGbLNPWYaW2qZO6lp4mxwKOdB9Pdx0GnYReI6IApq7zm8w27IqCKAhIooCiOHyjbHbZWer2ZHRaETe9pss4U+xqm8Nboc1kdWmDJApd5bwltBoJrSSg00p4GLUE+bjh4abF06jF080h6rgbNAiCKuz8EvSL8mV7bg2HixtJjfP/tZujoqKioqKioqLyK6CaQJ9hFEU5pwzYpPO0JPj5eF3n4zVBz+v6X8t2/3/vQbPFRl2zicq6dkqrWymtaaO8to2ahg6a2sxnzEDWoJPQayUQHCKPw7j7uBgk4DADF0UBjSSi6TLBBcc2Rp2Et4cOP08dXm46tFqHkGOxOoSmTpMNk8UReWPp8lHQawSMWgG9FkQUZLuMbLeDIiPi+EdCQRJkJGQEHFVWrHYFs03BbBOwyCArjoaIgoJOBKNWwUNrx0ur4KWTMWrsCNDludLdYQ4fLRcE57+6/rPrb959oS7rTxKITtxGEB3/IQggOCruIUqIkuRYJ2lA1CBIEoKoQdBoQZQQNFoESYMgaU9Y7/gHUTp+jnMYSRSxy8fvK0VReOmT/Xi6afnLzVl4uOlOvf+vdB+q/DTO1/fBucIv0f//6z0IZ/4+VH93p4/aZ6fP2dRnZ+I+VDnONddcA8B77733K7ekJ2VlZUycOJGnn36auXPnnrHjvvTSS7z88sscOXLkjB3zf0WNADrDCIKjCs25xPn6cDsfr+t8vCY4s9f1U+7Bg/l1PPTq5jN2zp+KUbAgWmVs1uPLuq9c7vrn3EPo+kfk132ldPfeue92LkhaBJ3xjB+3tcNCbVMnX28r5orJyWf8+CdyLr4LzzXO1/fBucK50P8/x314Llz32YbaZ6fP+d5ne/bsYfPmzVx77bV4eXn92s35Uc619v7SdHZ2smjRIoYNG8bw4cN/7eb8KGoEkIqKioqKioqKioqKiorKL8Cbb77Js88+y7p164iIiPi1m/OjnKn2ns0RQI4KgRY0Gg2SJJ3Wvg0NDWRlZXHHHXdw5513uqyz2WzY7Xb0ev2ZbO7/xPktr6qoqKioqKioqKioqKionMcoioLJZPq1m3HOYbPZsFgsCIKAXq8/bfHnx9BoNGeV+AOqAKSioqKioqKioqKioqKi8rPz0ksv8eyzzwIwceJEkpOTSU5OpqysDIClS5eyYMECsrKySE1NZfr06Xz44Yc9jjNhwgRuueUWNm7cyNy5c0lPT+fjjz8GoLy8nFtvvZWMjAyysrL429/+xsaNG0lOTmb79u0ux9m/fz8LFy5k8ODBDBw4kKuvvprdu3f/5Pb2xZIlS5g0aRLp6elceuml7Nq1q9ftLBYLL774IpMnTyY1NZWxY8fy7LPPYrFYXLbbvHkz8+fPZ8iQIWRmZnLhhRfyz3/+02Ubs9nMSy+9xIUXXkhaWhqjR4/mjjvuoKSkBHD4/CQnJ/Pmm2+yePFiJk2aRFpaGvn5+c51y5Ytcx7vwQcfJDMzk9LSUhYuXEhGRgajR4/m5ZdfpjuJqqysjKysLABefvllZ/+89NJLzv5LTnZNu7fZbLzyyitMmjSJ1NRUJkyYwD//+c8e19z9N961axeXXnopaWlpTJw4kRUrVpyy738M1QNIRUVFRUVFRUVFRUVFReVnZvLkyRQVFbFy5UoeeughfH19AfDz8wPgo48+IjExkQkTJqDRaPj+++954oknUBSFq666yuVYhYWF3HfffVx++eXMmzeP2NhYOjo6uPbaa6mtrWXBggUEBASwcuXKHsIPwNatW7nppptITU3ljjvuQBAEli1bxrXXXsuHH35Ienr6j7a3Nz799FMeffRRMjMzufbaayktLeW2227D29ub0NBQ53ayLHPbbbexe/du5s2bR3x8PEePHuWdd96hqKiIV199FYBjx45xyy23kJyczF133YVOp6O4uJg9e/Y4j2W327nlllvYunUrM2bMYMGCBbS3t7N582aOHj1KVFSUc9tly5ZhNpuZN28eOp0Ob29vZLl3J0673c6NN97IwIED+cMf/sDGjRt56aWXsNvt3H333fj5+fH444/z+OOPM3nyZCZPngzQQ/Q5kUceeYTly5dz4YUXcv3113PgwAFef/118vPzeeWVV1y2LS4u5u677+bSSy9lzpw5LF26lAcffJCUlBQSExP7PMcpUVRUVFRUVFRUVFRUVFRUVH52Fi1apCQlJSmlpaU91nV2dvZYdsMNNygTJ050WTZ+/HglKSlJ2bBhg8vyt956S0lKSlLWrl3rXGYymZSpU6cqSUlJyrZt2xRFURRZlpUpU6YoN9xwgyLLssv5J0yYoFx//fU/qb0nY7FYlKysLGXWrFmK2Wx2Ll+yZImSlJSkXH311c5lK1asUPr166fs3LnT5RgfffSRkpSUpOzevVtRFEV5++23laSkJKW+vr7P83722WdKUlKS8vbbb/dY1319paWlSlJSkjJo0KAex+pet3TpUueyBx54QElKSlKefPJJl2PdfPPNSkpKivMY9fX1SlJSkvLiiy/2OPeLL76oJCUlOf8/NzdXSUpKUv70pz+5bPfMM88oSUlJytatW53Luv/GJ/ZPfX29kpqaqjzzzDN99sWPoaaAqaioqKioqKioqKioqKj8yhgMBud/t7a20tDQwLBhwygtLaW1tdVl24iICC644AKXZRs3biQ4OJiJEyc6l+n1eubNm+eyXW5uLkVFRcycOZPGxkYaGhpoaGigo6ODrKwsdu7c2WdUzKk4ePAg9fX1XHHFFeh0OufyOXPm4Onp6bLt6tWriY+PJy4uznn+hoYGRowYAeCMWuquPLZu3bo+27RmzRp8fX25+uqre6wTBNdqiFOmTDllBNPJnBh5JQgCV111FVarla1bt/7kY3Tzww8/AHD99de7LL/hhhtc1neTkJDAkCFDnP/v5+dHbGwspaWlp33ubtQUMBUVFRUVFRUVFRUVFRWVX5ndu3fz0ksvsW/fPjo7O13Wtba2uogovVXkKi8vJyoqqofocWIKFEBRUREADzzwQJ9taW1txdvb+7TaX1FRAUB0dLTLcq1WS2RkpMuy4uJi8vPznR46J1NfXw/A9OnT+fTTT3nkkUd4/vnnycrKYvLkyUydOhVRdMSzlJSUEBsbi0bz4/LG6VQyE0WxR7tjY2MBR1+fLuXl5Yii2OPvERgYiJeXV49jnpgy1423tzfNzc2nfe5uVAFIRUVFRUVFRUVFRUVFReVXpKSkhOuuu464uDgefPBBQkND0Wq1/PDDDyxevLhH9MuJ0UKni9JlYvzHP/6R/v3797qNm5vb//v4PwVZlklKSuKhhx7qdX1ISAjguM4PPviA7du3s379ejZu3MiqVatYsmQJb7311mlX7vpf+u1McbJA1xdnuioZqALQGcdul2loaP+1m/GTEEUBPz93GhrakWXl127OGeN8vK7z8Zqg9+sKDPT8kb1Ozbl0D/4cnK+/lZ/Kb/364cz0gXofnr2ov/Ffl1+q///XexDO7H2o/u5OH7XPTp+zrc/OxH3YG319/H/33XdYLBZee+01wsLCnMt7M3Dui/DwcPLy8lAUxeU83ZWwuumOavHw8GDkyJH/r/b2Rne7i4uLXSJ7rFYrZWVl9OvXz7ksKiqKw4cPk5WV9aPnEEWRrKwssrKyeOihh/jPf/7Dv/71L7Zv387IkSOJiopi//79WK1WtFrtT27vjyHLMqWlpc6oH3CYb4Ojr+H0+ic8PBxZlikuLiY+Pt65vK6ujpaWFucxf05UD6DfMKIoIAgCovjTf7TnAufjdZ2P1wTn73X9mvzW+/S3fv2g9sH5jvr3/XX5rfb/b/W6/xfUPjt9fit9ZjQaAXp4+nRHe3RH53Rvs3Tp0p987NGjR1NdXc26deucy8xmM5988onLdqmpqURFRfHWW2/R3t5TKG5oaPjR9vZGamoqfn5+fPzxxy5lzZcvX05LS4vLttOmTaO6urpH2wBMJhMdHR0ANDU19VjfHbXUfY4pU6bQ2NjIBx980GPbE/vz/8OJx1QUhQ8++ACtVusUuLr75+Tr642xY8cC8M4777gsf/vtt13W/5yoEUAqKioqKioqKioqKioqKr8AKSkpAPzrX/9i+vTpaLVaxo8fz6hRo9Bqtdx6661cccUVtLe38+mnn+Lv709tbe1POvbll1/O+++/z3333ceCBQsIDAzkyy+/RK/XA8ejVURR5KmnnuKmm27ioosuYu7cuQQHB1NdXc327dvx8PDgP//5zynb21uKmFar5Z577uHRRx/l2muvZfr06ZSVlbFs2bIeXjqzZs3i66+/5rHHHmP79u0MGjQIu91OQUEBq1evZtGiRaSlpfHKK6+wa9cuxo4dS3h4OPX19Xz44YeEhIQwePBgAGbPns2KFSt4+umnOXDgAIMHD6azs5OtW7cyf/58Jk2a9P/4SzkMtDdu3MgDDzxAeno6GzduZP369dx6661OI2mDwUBCQgJff/01MTEx+Pj4kJiYSFJSUo/j9evXjzlz5rBkyRJaWloYOnQo2dnZLF++nEmTJjkNsH9OVAFIRUVFRUVFRUVFRUVFReUXID09nbvvvpuPP/6YjRs3Issy69atIy4ujhdffJEXXniBv//97wQEBDB//nz8/Px4+OGHf9Kx3d3deeedd3jqqad49913cXNzY/bs2WRmZnLnnXc6hSCA4cOHs2TJEl599VXef/99Ojo6CAwMJD09ncsvv/xH29uXR9Dll1+O3W7nzTff5NlnnyUpKYnXXnuNf//73y7biaLIK6+8wuLFi/n8889Zu3YtRqORiIgIrrnmGmfa1YQJEygvL2fp0qU0Njbi6+vLsGHDuPPOO52m2JIk8cYbb/Daa6+xcuVK1qxZg4+PD4MGDSI5Ofm0/j4nIkkSixYt4vHHH+e5557D3d2dO+64g9tvv91lu6eeeoonn3ySp59+GqvVyh133NGrANS9bUREBMuXL+fbb78lICCAW265hTvuuOP/3c7TQVD+15goFRfOJd8DjUbE19edxsZ2bLbTL/N3tnI+Xtf5eE3Q+3Wp3iP/G+frb+Wn8lu/fjgzfaDeh2cv6m/81+WX6v+zzQNI/d2dPmqfnT5nW5/9XB5AvwaLFy/m6aefZsOGDQQHB//azTknePDBB/nmm2/Yu3fvr92UM4oaAXSOoNGIdFplBFFAK4mIIlhtCoqiIAKSgNMsTaMR0Wgk7LJCh8UOgCQJCICiOP4liAJWBVrazWi1ostDVhAENBoRWVaw22WX/5dlBY1GRAE6LHbsdhkPNx12u0yH2YZOI+FhkFAUMFtlTFY7CAIaUUAQQKcRoeu4JyKKApIkIooCoijS2mnFYrOjlUQMWhH7SS8BQejOk1VO6wXRfR67Xf5Rc7kf21ajEQEBu93OT5VRRVHApoDZJiMKoNdICIr8k/f/JRAlEZNNxmaX0Wkk9JLQ4++lonIuoNGc/jOiNyRJRJIcIdN2u4zdfno3rEbjuKesNsfz06AREXAcQ1FwrJMVPIwaLFYFQVCQZbDaZMf2WhFZATe9RKfF8VwUBQFZlpFEAUUBURJo67ChCCDL0NjSiai6/KmoqPwGkSQRi13BbLOjkUT0GhHlJ45jTh4D/1QEARRBxNI1ZtR1jcUd7REwWcFil9FIjneAfIpj63RSlweOgMkmY7LY0Gk1aCUBoasKlMkmY7G5Hu/EMabQNfaWRJDofo+J2Gx2l3eiJAnOMtqSJDrG9rKMViMhCSCcYCTc7c9jsznGvaLoGB/KgNmmYJdl9FoJndhz3Ng9xrfZZKcfS/cyUADHcbvRaiXsCLSbrLgbtYiCgNUmY7XL2LvGp1qNSIfZhigI6DUCgqKcVePpXxOTyeRS6cpsNrNkyRJiYmJU8UdFFYDOCSSR4tp23Axa9h+rRZZhUL9A2jutWK12gv3dkSQRg07CbJEpqGghp6CeIF83BiYG0tphYdvBSkRB4IKMcGRZYWduNYIAg5ODcOt6sHbT2m5h+8Eqgv3cSEsIoK6xg4KKFtwNWhIjfVAsNvYdrSElLgCDXkNZbRuNLSYigjwxW60oQEOLif+uyKawogVBgIykIK6e2o+9R2qIDvUiOsQTneAQGzqtMiaTjdZ2C14eOg4VNPDx2qM0tZkx6CSmZsUwc3Qs3a8IFIX6VguFFXVEBnvi46FHEgUMGgFZEOiwynTUtmHQSiCBDGglAatNIa+imeY2MwkRPhj1jpepRgAFAYtdQUFBK4nYZYWcokZKqloZEOdHVJAnGkHBbldQBAGzTWZPbhUt7WYyEgMJ9nNDg3LKD0NBFKhuMfP68mwKypsRBMhMCmLhzBQ89OJpf1SeaQQBrIrAh1/nsnFfBXZZIcTfjYUzU4gL9UJQ36oq5whNbWaqmkzsOVKDUa9hcL8gjFrp9H/DApjtsO9oNXWNnfSL9sPfx4C7QYNeFFyEYUkSkGVXo0GNVsIqQ05xI2+vzKGu2cRVFyaTGOlLblEDGklkcL8g3I1a9BKs+KEAnVbE213PsvV51Deb0GlEJgyJZGpWDN/vriYtPgBfLz1it/AjgKyAbFaobepk/9E6dDqRzMQgPNy0uGlFrFZVwFVRUTk/ESSH6AKgk0QEoKy+gw/XHCanoAFRFBiZFso10/qjE/o2gxUEARtQVtvGoYIGgvyMpMYFYNAIKD8yYShJAq0WmTc/P8C+YzUoCsSFe3PDzBT09e2UVLfxwerDNLQ4numThkUxZ1w8UtekKoDNJiNoRDotMvuP1tFpspKRGIQkCdQ0dnIwvw5vDz2D+wVT39zJi5/so7axE40kMm5wBJdPSqK2xcRrSw9QVOkYew9KDmLhxSlIosjhgjoUWSEu0gedVkInCdhkhYOFjdQ3dZKeEIC7mw5ZVug0W9FrZfQ6iZYOK00tZg4XNeDjqWdArD96nUROQT01DR0MiPNDEAQ+XJ1L/1h/0hICCPZzw02vwS4raEURqyxT12LCqNeg10loJAm7LNPUZqGkqhUPNy0eRkfVJn9vI0eKG9ieU4VRr2FESgg2q4wiQFOrmbpmE9sPVpJTUM+MUXEgwLurDjmudWYKblrxrKge9mtzxx13EBYWRr9+/Whra+OLL76goKCAf/zjH79201TOAtQUsDPMmQq3lSQBqwwarUiHyU51QwctbWbiwr2pazZRWt1KfIQ3HZ1WXvp0P3ZZ4fEbR/DvJXspq2lzHkcjCdxxWQbf7y5j6IBgjpU08sPecpdzTRsZQ2SwJ/9dnk2gj5GLRsciiSLhQe40NJvw8tBTUtWKl7sOH089bnoJSRR4ZWk2pdWtXDYhkbgIbz785gj1zZ388ZohPPnmduwnPYC9PXT8fv4gnn1vF0E+Rv50/XBWbyuitrGTcYMjaGg1YbXKBPu5kVNQz7L1eSgKRAR5cPOcNGw2mdrGTsIC3dFpJQrKm1j2fT61TZ2MGxTBZRMT+fCbI2w7WIkCXDdjAIP7BVFQ0YzdLhMZ7IlBp2V7TiWfb8inuc1CZLAn184YQIfJyqtL9yMJAvER3lx1YT+sNkd0U2OLmYr6NtLjA3A3aNifV8+LnzhCAS+bmEhWahilNa1YrHaSIn1x00uIJ91WggAtZjv3vrChR794uet47o7RaE9R8OCXCIm1I/Dk2zsoqe7p8P/owuHEh3ie8UggNQXszHO2hU//0iiSyKtLD7D7cI3L8usvSmF0WshPFoEEQSCvsoWn393lMpiMCvHkvisHIwngoZewKdDSYSW/rAk/bwPhgR5oJZE2k42cgnrcjRo83XSs2lLE0P7B7M+rZcuBSpdzzRkXT0yoF6u3FjMyPZQ3v8jp0Z4BsX7cMied7Pw6IoPcCfH3oLndwrHSRvy9jUQFe9LSbuHzDXlk59XR1mnj8klJTBwaie6ECNGfinofnr381u/xXxs1Bezs+N1Jkki71c6H3xxhS7bjmZqVGsr8KcnkFtVjtTkmsb7eWsTOQ9WE+rvzxE0j0NDzWSgIYFEEHl+0jcq64/2lkUQeuX4Y0UHuLiJQ95xp9+vEogj88eWNtLRbTjws6Qn+jB4YzqtLD/Q4Z1q8P3fMy6CgvJnWdgsDEwNobrPwzLu7mD4ymgFx/qAIvLp0P2U1bfh46JkwNJLwQHcigjxZs6OYnTnVTBwaRUSQB4qi4G7Q8uIn+/AwaDDZZC4eHcuQASHkFjagkQSiQrzYc7iaT787Rv8YPy6flISPpw6tRsMXG/P5flcZZquda2f0Z2j/YGQZnn1/l8t3hSQK3H/1YHYfruHbHY6y4v1ifLn78kyWfpfHD3vLsNllMpKCuG5Gf2S7THO7DUkDjlwEyCttwsdTj0EnUVnXTnSoFx9+c4Q752Ww5UAFydG+rNpSyPRRsbR1WDFZbIT6u3Mwv57PN+QzamAYF2SE88JHe5kyIprCimZ2HqrGx1PP328fxZkrAH7upoAtXryYzz77jPLycux2OwkJCdx4441Mnz79127aOcX5mgKmCkBnmP/5ZSuKmGx2Kus60GlF/L2NfPjNYfLLm7l5dhr//ngvTW1m5+aRwZ787pJ0WtstmCx2vtxUwLHSJpdDaiSRv9w8gvpmE89/uKfX0/5+/iDeXplDU6vj2HPHxzM2M4JFXxwkO68ejSQyd3wCA2L8MFvteHvoqKzrYM+RavrH+PPfFdkATB8ZQ32zie05Vb2e5+Y5aQT5GDHoNXSabBwqqsffy8jbK3NchJGxmeH0j/Xny40FLLw4hRc+3uvyYo0K9uT38wex63A1m/eX84erh/Dwa5tpbnNsM3tsPFEhnni66eg021AU8DBqaWw10dBi4sNvjjiPJYkCT906Ep1Wory2jZhQL/YcrmHVlkI6TDbSEwKYmhXDB6sP0y/GFx9PA8vX5/HI9cMorWnjtaX7sZ0QvTNuUARXT01GPPGDSxRYtDKXLQcqeu2Xm2alckFaSJ+Dqp974CUIAqX1HTz63629ro8I8uCxG4Yj9TJw+l9QBaAzz9k2SP8lkSSRTQereOPzg72u/9c9Y/A2/LTAV7MMd/zj+x6CLcD4wRHMGhOPm0FDZX07dU0mfD315Jc3E+znxu7cGn7YW+bcXiMJ3HPFIEwWGy9/ur/X891/9WBQYNEXB53P4ZN56Nqh/Pvjvfz+ykEsX5/HocITSrTqNdxzRSZ1TZ2kJQTQ0m5hR04VWWmhRAV7YO60/qTr7ka9D89efsv3+NmAKgD9ur87UQRECZNV5pvtRazdXkLbCc83Tzct9101mCcWbUMSBRZenEpuUQMb9pbzyPXDSAj1dBHEZUHAKiu889Uhth3sOXbVayX+fe9YdAIgOiZnWzstNLaYCfF3RLpsya7sVbj//fxBvPXlQefY9GSeu/MCjHoN7SYLBp2W5jYzZqudUH93ymvb2LivnE37Kxg7KIJR6WF8ubGAgvIm/H2MXDohkchgT97+Mof88maigj258eIUDHotZqsNq02mrKaNVz/b7zq+HhRB/xg//rPsAKIo8MzvRvHmlzkcKW4EHBObNrtMe6eV9k4bm3sZt2okkWfvHM2hggYWfXGQh64dyltf5lDd0NGj7/5+x2ha2i2IosB/V2RTUnV8ktHbQ8c9Vwxi3c4SBiYGsj+vlqH9g0mO8iWvrJkXPt7jMr7OSgtl2IAQ/r1kL6H+7tx5eQYvfLSHh64bysH8ekwWO/Hh3md0wvJcFYBUVE6FmgJ2FmEXRNbvLmPJt0ecDzy9TuKGmSlMGhrFS5/ucxF/AEqrW1ny7VEykwJZv6eMUelhXDI+kRc/2UuHyQaAzS6DIPD11qI+z71hbxlZqaHObarrO/h+dxnZefWIosB9Vw7iu12lfPLtUec+AT4GHlgwlLe+yEEQYNLQKKaNjKGxxcy8SUkIQLvJyqHCBj7fkE+HycaewzVMGhbFI//ZQpCvkQcWDOW+f29waUtytC++XgaSo3xIvmowtU0d3HNFJgcL6lm5sQCLTaakupV3Vx0iMzmIWWPiaeu00tl1ve5GLcNTQsgvb+Y/Sw9g6RqoaCSRKy9MZkRKKG0dVtbvKaO1w8LdV2Ty5cYCtmRXctvcdF5beoDcouMfVluyK9l9uIaHrhvKc+/t4vqZKdxzRSYmi52XP93XI994/Z4yBsT6MaJ/kHOQZLUrHCqo77XvA32N+HkbaGi3YrXKeLpr0UsiivzLDbAkSSSnj/YBlNW0YevyG1FROVsx22W+2FjQ5/pvd5Yyf2ICFou9z23AEYGZW1Dfq/gDcLiokVlj4NH/bqWq/viAd1pWNO4GjYv4A2CzK5RUt7L3SM3Jh3KyaV8Fc8cl0NRqxtdTz5xxCYQFumOzKfh56rErCnZZ4eHrh2G3K7R1OD54JFFgalYMg/sFIYkiqfH+KIqCt4eelDh/rDYZm11x+pmpqKionLOIAnVtFpZ+l0tJdSsh/m7cOS+DPUdq+GZbMQCtHVb2HqkhMymIPUdq+O+KbP58w3A276/gQF4dyRHeyLLjHWAXBP69ZB8zL4hjRx8Tl2arneKqVpIifahrMfHGioMcLWlkyvBoIoI8qKhto7aps9d99VqpT/EHoLSmlU6zjQBvIy98vJ1Os2McK4oCl4xLID7Ch8q6djISA3n6nR3O8WZ7VStrt5cwaVgU4wZHUN3QzhWTk2jttPL+N4fJzqvn4euG8sWGfG6/bCCeXaldAGu2F2OzyUSFeFJS1cq7q3IZmBDIkeJGvD10RId48Y8PdvPQtUN59r1dPdrc/X6y2hyR9f+46wLaO61MGxlDRJAHNpuCViOy81AVa7YXs/T7Y0wcEsXyH/IoqWpFpxGZeUEcKXH+WKwOP8yLRsfSabZzrKSR2WPiMVns/PPD3Zz8Ct6aXUlcuDfJUb4cKWmkvKaNx24cQUF5Mxv3VdBhstLSZiY8wAO9JKipYCoqfaAKQGcJGo1EYUUzH3xz2GW52WJn0ecHeeKmLOqbTb3uu+9oLReNjqWwooXCihZGpofy6MLhLFl7lOz8Omx2h3lz9wdDb/h6Gegf60txVQuHChvISgvj5U/3ATAqPYx9x2rZmVvtsk9dk4mn3trOzbPTmDAkkryyJu755w/Oj6aYUC+uu2gApdWt/OHqIfzj/V14e+gJ9XdnTGY44YHurN1e7DxeiL8bv58/iPyyJmLCvHl75SEO5NU51w/tH8wfrhnCc+/twmKT2XeslumjYvnr2ztIjfPnptlpvPLZfsZmhmO1ySw6KQrAZpd5d1UukUGetJus3DY3HatdJr+siS3ZlXi56zAaNC7ij/PvYLXz5cYCJg6NYu2OEm6clcqGPeV9ms0tW59HRmKg8wYTBQEfT30PAS8iyIOFF6ey6PODlNc6Qmw1ksjccfFMGRbVI5Xs50JRFAJ8DH2uN+gkF58oFZWzEQVo7eg52NbrJKYMj2ZESgh1LRYMeumUJpyCKNLQ0vvzFmDepCT+ungHtY2ug/7IEC9WrM/rdZ8gXyNJUT54uGnJzqtzmdWkq91arUiInxu3XTqQt7/Moaiyhdlj4/F00/HpuqOYuoSrAB8DN81K48uN+UwdGcuOnCqeemu7c7CcFOXLVVP78f3uUq6ZNgAFh1BkP7XupaJyTpBT2MCirw4R5u/OzTMH4O2h//GdVM55tFqJ7MJGnvtgl3PsVV7bxu7DNdx4cSqDkh2CD8CBvDqGDghhzxGHH8+eIzWkJwQQ4GM87gEkCrz95SEOFtRz0QVxPcSGE2lpM1PT2MmHa45wtKQRN4OGIf2D+dviHYxMD+3zN+gwWO5biHA3akmL9+fWZ75zmXCQZYVPvzvG7ZcOZO74BN5emeO85qhgT264OIXsvDrWbC/Gz0vP7ZdlYDbb2Xqwkr1Hahk6IJjiqhaumJLMGysOOt9nRr2GeZOSMFttTBoaiUaSSI72QRRF4iO8aeu0sH5PKeBIbzt5EiTQx8gd8zJYvDKHt750RDyJosDUEdGkJwTy17d3OM2hxw+O4K7LM3l7ZQ6zxyYAjuj+ScOj+fyHfJZ+n4cgwKiBYUweFo2nm44/XT+cyro2Csqb+/x7rNlezNxxCRwpaWTf0RosFhvNHVZGZ4Sx53ANX24q5PvdZTx752gM6qSlikqvqALQWYJZVli2Ph+A+HBvpmbF4OHmMGc+WFBPS7uZ1Hh/Ok028sube+xvsykE+xm5d/5gRFGg02zjkgmJzJ+SzM5D1QT5upEa79/D3yU5ypcrpiRTUN7E9oPVDIj1Z97EJEfFgq6PjZFpofzroz2IokBChA9ajUhRRTPtJhvNbRY8jFqKK1ucsy/dFFW28PKn+1gwfQAffnOYeZOSSInzp6y6FVlWCPRxo6C8BQCjTuLh64bx+BvbmDEqlve/znVJbwDYmVuNKApMGxnL5xvyURQI8DHyz7vH0NZpxcOo5c7LMvB017B2RzFajcjYQREM6edwu2/rtPDNtmK+3lpEaIA7f39vF3+9dST/6cphToz04WB+HX2x90gNE4dGsT2nCrPFTmNr3x+Ija1mOCFdSicJzB2XwD8/ck3Bu2Zaf/710R6X9DabXeaTdcfw9zaQNSD4Fwm1tttlUuMC0EhCjw9TgKlZMRg0agSBytmNVhRJTwhg28Eq3AwaBsT6ERbgwfDUED7fUMCfX9+CrDhmZWdeEMfU4T1FVkFw3L/hgR69nkOvlXA3anqIP9CdZuoq8naLNU2tZppaLYT6uzNzdBybD1SybmeJc7uh/YMx6CQevn4Yy9fnUVTZQpCvkZhQL1742DX3vK7JxPMf7OaZ20ezelsRG07ydTta0siizw9y0ehYXlyyl/uuGoS7TjqtvlRRORupbzbx4mcHCPV3o6iqhRWbCrl2ar9fu1kqvwDtVjv/WX6g14m391fn8vv5g5wCkIdRh9lic65vaDHh6aZjSD9HZLakEemwyIzJjGDayFj8vPQE+Bioa+p9XBcf6UNLu5n9x2oBGJkexvrdDqFk9+Ea7r9qMN/tKnXZRxQcAtVlExL5anOhS5oagJtBg7tBy/e7ynjkhuF8uu5oj3Hvyk0F3H1FprNdXu46brg4hX+8v9vleBv3VXDNtP4E+7kB4Ommo1+0H4/+dyvWE8aQnWYb73x1iKduHYWHm4Z1O0rIKainX4wvwX7u1DR0MmV4NHsO19DU5khxq6rvQK+TGD84kqkjovnb4h3UnPD+k2WFVVuK0Gokhg0IYXtOFbKssG5nKe4GLbfOScOo13DphERnJeJpWdEUVzYzb1IyJdWt/O3tHZitdkQBhqWEMGdcAl9sLHRGRJ1IY9ffUhIFZoyKRVbgu50l1DTARaNiuWVOGsvX57P0+2PMn5yM1aag14hnXcVdFZVfE1UAOgsQJRGTVaamoYMZo2KJCfXik3VHqW3sxMvdYZwsChAd4oWXu46rp/Xnm21FzlxlvU5CqxF4dOEIVm0p4tudJZgtdjzdtMwYHcfQlBAa20yMSA1l/Z4yZ2pYRJAHl05M5Jl3d2I+ISXi8w35/PmG4QzpH8Su3BoEQWDc4EhGpIZwqLABs9XOjFGxNLaYWPzVIbzc9Xy1ubDXa6trMnXNfCgMTw1BkSE23JsgPyPvrz5ManwA23OquGlOOku/O0ZDi4nYMC/e+zq31+PtOFTFYzeO4PMN+cSFeaERBd74MscZKRQb5sWNs1Lx9zLy0LVDWb+njH98sAub3RHhcsn4RDpMVudLoLXD6uwPq11Gp+37I0mrlbDZZRKjfJAkSIj0YdN+R250kK8RrUaiuqEdm10hKcoHSRCcDoEOgcWP+68e7JiJlxUOFzXQ2GruYRrYzZJvj5GZFPiL3aQGjcDD1w3jb4t3OtIGu0iJ8+eikbGq+KNy1iMoMldNSSYzKZCkKD8aW02IosB7X+VyuKTRuZ3Zauez744hCDBjRDTgKM8rK44qMqu2lRAT6km/KF+X/cAxY2vqJYVsRGoIkUEeJEb6OAfxRr2GO+dl8tIne10+LFZtKeLaGQO4ICOcjfvK8fbQERPqxW1//w53o5ZpWTH87pJ0mtrMfT5bLV3lcL/bVdbr+tLqVnw89BRWNNPWacVNp9aEVzn3+WpbMRqNyNwxcezLq2PD/gpmZEUT4G38tZv2m6O7JPiZHBtotCJWO46Uc8FRpbU7eqa13drneMlksWPQaQj0NVDbaGLsoHCWnGBZkBjpS0KENwatiAx8u6OUFRvy6Rftx7jBEXz67RGumJzcq0dbZnIgnkYdrSec29fT8WwFR6T+3iM1XDW1Hx9+cxhFgfGDIxmTGc6x0ibssswdlw2kqc3C2ytzMFvsGPUaHr52GHVNHUSGeNLSbubqqf357/IDFJ3gkVPT2OkSPTQ1K4ZjJY3cekk6kihQWNHCmu3FNLWaeX91Ls/fPYbGFhOCILD3aK2L+NPN6IwwiiqaWHSCZ9HmAxX4exu46/JMduZUMnFoFF9vKWTepCQWrzzEvVcOYsOeMkqqW13EnxNZs72Y2y8byPacKiRRICstlORoX2LCvGloNvHmFzkUVDSTnhjAZRMS+fONI/h2ewlfnpC2LSuw7WAVTS1m5k9JdkYZnUhipC+l1a38fv4gvtpc5PQompYVgygKfL+7DG93HYlRPljtCnf/cz2ZyUFcf9EADGpamIoKoApAZwVmu0y7ycrQAcHEhXvz0if7AEcq0D1XZLJ4ZQ7FJ7wQRAFumZuOosD2nCqmj4zFoNPw3te5LgZ2rR1WPl5zBLPFzuRhUfxn6S7+eM0QvthQwN6jNVwyLoH3v851EX8ArDaZf360hz/fMJxduTV4eWjx89Lzlze3O7f5cmMBqfH+DnFKhHZTT5W+G5td5rZLMnhtaTYH8mqRRIFR6WHcMied5jYzXu46EiO8efWzfWgkwSnI9IaiOPrlsRtH4Odl4OHXNtN6QmpbYUULj/13K8/dOYb/rsh2SeeqazLx+vJs7pyXQV1XvnaH2Yqvp57GVjO5hQ3MHB3Hyk29f3CNzQxHlmXmTUxCFATS4v0ZPziCCzLCqahrx2yxExPqxdGSRob0D0bkeAyQpJVoM9mQBIEf9pSx72gtV0xJpr6PvHFwzFjZZQVNVwirzS5jtivIgF5ylCXtbTZDEEARHGU3BUD/E70/FFkhNtiDl+8fx7HSJprbLA4/Jg8doqKKPypnP4oCbkYtYYEevPF5NkdLGnlgwdAeIk433+8uZdLQKFb8kM+6nSVYbDIDYv1YMH0ATa0mrpren12HqvhmWzEmi53oEE8um5SIl7truP/wlBAyk4McKbFz0sktauj6CIhg1ebCXmeV3111iEcXjsBqszNtZCz/WeaoEtPeaeWz744xfVQswwYEs7wrMlQUBdwNGjrNNmeUnsVqdxFrT6a+2YSHm47q+g5CfY2AmgOmcu7S1mll4/4KRqWGoNNKDEwIYOOBSvYdq2PSkMhfu3m/HQSwKFBS3kJDq4n4cJ+ucULvH9aSJGK2Ocp46yQRpZdnligKmGXIL2uhqLKFYF83jAYN3u46/D31CIrCj2WhW+0yN16cRkVtG2aL3Rml6eOhJystFJ3oKHteXN3KluxKOkw2Zo+Np765kwuzYtBKIg8uGMr7q3Mpq2nDzaBhxshYxg2O5EhJPZHB3s50rsr6dmJCvcgvc4hAq7YUMW5QBI8uHIHFaqe2qZMnFm1zaV//GF/+eutI8suaiQ71wmKxsWx9vqMMulHLlBHR/H7+ID5ce4QRKaEE+hrRSiKSKDJqYCjZefWMyQhn+Q95fLrumPN9dedlGXyxsYD9x2rZc7iGwf2COFzc6BSoTmbikCiefHNbj+X1zSa+2lxIkK+RaSNjaGgxcbiogaduHcnf392FIEBoH5GxRr3jc1ISBdyNWu67chDbDlby4if7MFvs9Ivx5aY5qew5XMOn645RVNHC3343qkfmQDeHSxqZNzmpR1S6IMDc8Ql8svYoCRE+TvFn1pg4tBrJ5TsFYFByEE/d5mj/n/+7lb/eMlL98FVRQRWAzgo6zXZq6tsdfjZv7XAuHzUwjE37K1zEH3Ao5K8vO8CjN44gOtQRFeRm1PZavQBg1eZCLsgIw2Sx84/3d3P1tP5cO2MAjS0mZo9NwNtDx3e7S9m077jTf1OrmQ6TlbvmZaCVJL7dWcKccQlEh3hi0Es0NJuw2xXcjVq0Ggk3g6ZX4UavlUiM9OWPL23EbHV8fNjsCj/sLedQYQOP3zSCe68chCgIjM2MICLYkwCfvmfyBMHx0fPZumMMHhDsIv50Y7MrLP3+GFEhnr36+Xy85ghXTEkG4NsdJVwyIZFFnx/EapM5mF/PzNFxfLnJ1Ug2LMCdiy+Ip6nNzL6jtazZVsykYVHMHpvAg69scglTHZMZjo+nHlCQETDbZL7acIxN+ysQBBiZFsaDC4by0ZojTDjFoNXHU48kiggCmO0KX6w+TH5ZE1OzYpAkAUWB8EB39JLoLG0tiAItnTY+XJNDdn49nm46Zl4Qx4gBIT9JxFFkBZ0AaTG+x2f21JhZlbMUURKx2LtmikVHNbuckibyy5o5VNiAr6feKfb2xoLpA3jyre0uJW4PFTbwp9c28+eFw8kva2Tc4EguHBFDSVUrNY0dfLD6CBeNjiU+wts5+J+aFcOTb21HlhU27a/g91cM4qM1RxiYGMjfezHRBMdtVdPQQXy4N8+8s7NHqPuabUXMGBlDfIQ3wwaEEBrgTlOrGW8PPY0tJpasO4qvlwGNJPYpAvl5GWjrsODprlMj+FTOefYerUWWFVLj/AHH+CIi0IMDBfWqAHSGkSQRs11GFAS04vEoH5tdpqyuk7+8uc0lErJ/jB/3zs9EUhQkjYjF5hBsJEnkq61FrN1RgtUmMyItlEvGJWDUHI/EEEWBdqvM44u2uaTWBvgYuHNeJjVNJsL8DHi66ZwTdifjZtBgtdp57v1dPHFzFnsO13DtjAEY9RIZiYF0mqy8uvIQHWYbYzPDWXhxKgoKPh56/rsi2/kOiAz2ZOboOPrF+FJZ30Gwn5E7//Ed112UQmtHnbPSYmFFMxeNimP97jKnT876PWVs2l/OowtH9PCgBMgtamTLgUokSUCSBJdoo7ZOK8u+z6OsupUpw6N5+bP92O0yQweEMGloFGMyI5g7NpGn39np9IsEx/vqaMkO/nT9cPLLmrDLCmt3lDBhSBSyAjsPuXp3RgR5UFjRt7/OrkNVPLBgKA0tJsZkhpMU5UtFXTvltW14GLUE+7q5bD+0fzBTRkTT3pWOFhbgwR+vGcxbX7hOXB8uauRPr23h6d+NYsehKoorW9l7pJaoEM8elYu76TDZGJEa6oy0D/F345pp/fEwarjrigze6opg0uskUuMD+OvbO3ocY8+RGlLj/blzXgbbsivJK29iQKSPGgWk8pvnnBeA8vPzeeqpp9i7dy/u7u7MmjWLe+65B51O1+c+NTU1LF68mM2bN1NSUoKnpydDhw7l3nvvJTw8/BdsvQOdRiTQ1w0BqKw/Xq5zeEoI/zrJM6YbWXFU6tKI8MHqw9x75aA+jx/k54YkOoyFK2rbkWWFP7y44YTqWAKXTkxi7vgEln1/3MBUI4nEh3sjSgKPLRxBU7sFWVbwdteh10gs/T6PVVuLmDoimpmj41zCbbuZMiKa5T/kOcWfE6lt6uRAXh0Wqx0/LwM2u8Ka7cX4eOjoH+NLblHPWfsh/YI5WFDPqIFhCIKjnOX2g5UuAxGjXoO3h55hA4Kpa+pk75Eal5ddbVMnsaFePLpwONtzqhgQ68e8iUl8uamAzzfkc8n4BB5dOJyt2ZW0dljJSArAy13Pn/6zmaQoX2aOjuP2ywbS1mmluqGdOy5N57kPjv+dNuwtZ0CsHxGBntgVhX99tMelrPPXW4vYc6SGG2elOsvTn5wbDjBvYiJ6jYDZpvDYom34eRm4aFQsL36yz/myFQS4cHg0l05IRINCfZuFB17Z5Jwx6TDZWPT5QfYcruG2uWlIP1HM6U7bU1E5GxFFgQ6bwqpN+ew5XIOnm45ZY+NIjPDBYpOd3jodJhs+fZhzBvoaMVvsLuJPN3ZZYfn6fOLCvTiYX8/Bgjq2dwnsguAQhG+Zk87Ha47Q0NLpMKzseshs3FdOVX07d84biKe77pQDzXaTlW0Hq3r1ObDZFZraLNwyO50XP9nrMkiODPbkwWuGUFrVwthBEazbWYKnm5bhqaG46TUUVrTQ2GrCzaAhOtQLd4MWURRRI4BUzmV2Hq4hIsgDD6PWuSw21JPN2VVYrPZTpnCr/DREUaDTrvDNpkJ2HqrGzaBh5ug4BsT4AlDf3MkTb27rETmeW9TAsvV5XDI+gVWbi9h6sAqD3uEbExboQVunFatN5tsdJWzLruQfd15Ad1aqTYHn3t/dw1etrsnEm18cZPbYeAJ8DLhpBe6cl8Ff397hYk4sCHD9RSl8tbkQWYF3V+Uye2w8768+TIC3gSBfN/JKGxk7KIJOs40f9pSxemsxQ/sHMXFYFDfNSuXLTYXsyq2mtLqV15YdwM/LwILp/bHaFEamh5KZHMjB/HpWbiqkrcNCarw/Op3Iw9cN5fXl2c60qKzUULLz+vaS/HZnCY8uHM7f3+05MRDgYyAjKQhvTz23zklDq5EoqW5h79EaxmSGU1rd6iL+dGOzK3yxMZ+JQ6MYmBjIvqO1aDUiE4dEYjLb0GhEjpU2crioEa1G7DWFuRtZcXwz2GwyGklk/7Fa59+le5za7ZU0ZXgUkcGePPveLmeqmUYSuHbGAAYmBvacvJYV3l2Vy4KpA3jy7e3sP1bLqIFh9I/xo63TyvaDlS7ZBO5GDVEhnjycOQxRgEBfNz759ihTs6Kx2xXndUwcEsnOQ71PgAOs3V7CtJExRIV6UV3fQXqs349WAlVROd85pwWg5uZmrr32WmJiYnjppZeorq7mmWeewWQy8eijj/a5X05ODmvXruWSSy5h4MCBNDY28tprr3HZZZexcuVK/Pz8fsGrAINWRKPRY5cV9DrJ+WIVBaHX/N1uqhraGT4ghABfN9xPGBCBQwS5aHQsWWmhmMx2mtrMNLdbGJEWygMvb3LZ1mZX+HjNEe6/arCjUlWrGa1GxGZXqGnq5JutRew67DDWmzoiGoNOYsWGAjSSwKShUSRH++HtrqO53cKabUVOsSUiyIMLR0Tz5/9s6fMaduVWc9PsVO547nunaLHo84P84eohfHKSIV5mciCzx8VjsyvsOlRNXlkTAT5G7rtqcFe5yRKmj4olIzGQDXvLWPLtUeLDfbh4TDwfrD7M0a40EK1GRJJEymraGJQciI+HDk83LfdckYmHmxabXaGlzcSVFyazbH0eX24spLy2jTnjEnA3aPjr4h3Ov5Gfl4FHbhjGX27OosNkQ6MRaGmz4Oulx8NNy+b9FS7iTzfVDR0UVbZQXNnMw9cN499L9lLd0EF8hDczR8cR4GPEy12HVVbIK2si0MfIwotTuf/FDS6/CUWB1duKiQ71Ynj/YBZ9cbBXE+c9R2poajUT4KlTA3pUzmkEAVrNdv748omRd+08+95uxg2KYPqoGGdkoNlqx2SxE+hr7PFxERfmzaHC+j7PczC/jptnpyJJAhrJIbgXVbYwemAYh4sb+WJDAVOzopk3KZG9R2qd+xn1GuZPSWbJt8fISAokLtybgl6M+wFS4/xZsrancN6Nj4eON1Zk95ghLa1u5dWlB5g1Jp7B/YJIj/dHoxHZuK+cito2UuL8GTcogk6TldsuSUenEdFo1GooKucuZoud3OJGxmWEuSyPDvFk/b4KirrKdKv8b7RbZf748ibnJBPAPz/aw/CUEG6dk8ax0sYe4k8363aWkpEcxGcnTCTmlzWTFh/AwotTnWmubZ1WvthUwLzxCch2mXazjaLKll6PWVLV6hgL2WQkRSA22JMX7h3LlxsLKK5sJTTAUVX2u92lHCxwPM+PlTYhigKVde1U1rWTnV/P4zeNYGWXyNNNeW0ba3eW8sA1Q0hL8Cc80IPPNzhSbhtaTLgZtJRWtXDlhf35aM0RBAEuGZ+AooBBL2G3KXh76Lh5dhqSJKLXSYT6u/HhN0f67N+2DgtajdijbHyIvxu3zk3nzS9y+O8Kx3XdfulA4sN9UFCobzYRFuDBXfMyeLHLJuJEsvPqmTsugYLyJjKTA4kM9qCgvJm65k7aO61kJAVx2YQk3v/6EBmJgXzSy4QtOHw09x+rZfHKQ8SGeXHP5YNo7zzeZys25HP/VUN484uDDB0Q0iPqxmZXePOLHP54zRDW7ynr4dmUU1DP7y5J56FrhxLgY2RrdiV5ZU34eOq5c14muUUNfL4hn0BfI4rimOzILWrAbLHR3mklNsyLHTlVRId6MmlYFHPHxxPi705ji5mMpCDW7Sxhd9f3SjetHRaMeodNxp+uH6aOgc8wL730Ei+//LLz/3U6HREREcydO5eFCxd2TT6dGbZv386CBQv47LPPSEtLO2PHPRtZvHgxTz/9NEeO9P08+V84pwWgjz/+mPb2dl5++WV8fHwAsNvtPPHEE9xyyy0EBwf3ut/gwYP5+uuv0WiOX/6gQYMYN24cK1as4IYbbvglmn8cWUGnk6ht7GTC4Ei+3loEQE1jB9Ehnj1UdL1WYuygCMZmRiCKAlHBnhj1klOVdzdq+cNVg/lqcyGffXcMpavqza1z0vhmW1GfzVizvZixmeF8vqGAueMSqGnsYGdOlVP8EQQYkRrKE29uQyOJ/PXWLNyMWvYdrSW3qIHRA8O4aFQsVrsdN73W4UWjKHi46XoN2QXwcNNyuLDBRbRoN9l47v1dzB6XwC1z0qlu6EAjCZTVtNFhsjnLwHezcV85N8xMYcH0/igK/G2x44Xk15UekVfWyLxJiby+LJvapk7GDY5g+fo8KuvaueHiFFaszyctMZAAbyPZebWkJgTg46Gjsq6DLzc6/IC6q/GcHJE1e2w8Ww5UsnJTgXM2Ij0hgEsmJHIgr45tOX3PSuw9UkNipA+5RQ08sGAIigJ1zZ28vizbWbIzIsiD2y4ZyKwx8ew8VNWnIPjpumNkJAb2GjXVze4jNUwfHo3NZkcQBDQaEUVRfpEqYyoqJyOKAjYFTFYZUQC9VkRUOF6itw8UQWTxVwd7jZpZv6eMWWPjSY33Z99Rhyjz8doj3H7pQF75bL+LCBTi54ZW2/fAxMNNS1V9B4UVzQxMDCR5nh/1LSa83XU8sWgbVpvM4aJGymramHhC+smssfEsX59Pdn4dVfXtXH9RCs++v6tHJNCwASF4uesYmR5KQXkzEUGejB4YhiAIWO12cosa6DTb2Hes99nkosoW/L0N7MqtRpIEp1cQONICVm8t4unbR9PabsFitRPsr5rkqpy75FU0Y5cVokM8XZYHeBuRJEEVgM4Agijy8epcF/Gnm+05Vcyfkkx9H1WywGFM31vEY3Z+HZOHReHjoaepzTEW3HawilkXxKEV6FNQ6sZmkxG7vBAVWca7qwS7m0FLQ4uJv7+7yyXKXK+TsHeNKUP83YgK8cRssbuIP920d1pZva0ID6OO1Hh/l0pgsqywcX8Fgb5ujEwL5VBhPc9/sBuLTUYQYEj/YOaMTWD5+jxyixp4/KYsPl2XR0qcP2t3lPQ4F0BKXADWrvS4E1911100gKPFjVwzrT8AkUEe2Owydc2dWKwyJdWtbN5fzswL4rnvqkG8+tkB4sO9kRWFoyVNeLg57BjW7SzlisnJfPLtUb7debwq2aHCBvy8DDxx8wisVjtDBwT3SA8TRcFp+gyOSmcvf7aP+VOSMehErp42AC93HRv3lnHzbEfUVF98u6OECzLCexQxcDdoKKxswdNNxyP/2eLyHt9yoJJ5k5KYNSaOzOQgXlt6AJPFxoLp/ekX48dz7+3iygv7UdPYQUlVKwMT/Xl16X7nRLGbQcPssfEkRfny0ZrjH82p8QHklzfT0m5BI4lYe8lIUPnfMBgMvPPOOwCYTCa2b9/O888/j6Io3Hzzzb9y61R645wWgDZs2EBWVpZT/AGYNm0ajz32GJs3b2bu3Lm97ufl5dVjWUhICH5+ftTU1PSyx8+LKIlU1nXw9ZYiLpuUSFFlC7lFDXy9pYirpvXj+Q92O18U7kYt9181mHU7S7jv3xuwywr+3o5Q1SduzuKhVzZzxZRk3vs616VcvKIoiKLAmIwIhg0IJa+siTXbi13U+ZrGDkZnhPPggqEUVbUQ4G1g+wlhlYE+RkprWgnwMfLggiFU1XdwcE85AT5GJg2NYtP+ctyNOhpbTBwtaSQswIP4CG8um5DYo/w5wIBYPy6dkEhLu4V/3DWGDrOVoooWVm8toqKunWXf5xET6kVeaSOfrDvGjbNSeeerQy7iTzfvrsrln/eM4Z5//YC3h46FF6ditcnklTpmFgw6DQum9+eLjQVcfEE8v//XD9jsMn9/dxc3zU7lr2/vYEj/YGaPjaespo23vshh4cUpRAZ7UlXfzsShUaw8yRcoIykQk8XGZ98dc1l+IK+OhhYTt18ysEd55hPRayWsNpm4cG/+smg7d8wbyDPv7HQZFJTVtPGXN7fxxE1Z1DR29HmshhYTgoCLYZ6Xu44pw6NJiPBBURR0GhFBULAjUFnfwd4jNfh46hnSPxijRlS9flR+MQRRoKbFzGvLDlBY4Zj5HRDrx61z0vEySKdMm7LYZfYcqSHQ18jUETGEBzoGyluyK9h+sIq9R2q4ZHwCnSYrE4dG4eWup6Xdws2z01AUBUkS8Pcy0tJuxt2o47Pv8no9z4QhkazcVMDeo7V8viGfR24YTk5+HdNHxfLnhSPQakS251RhMtvwcNNxzxUZvPzpfpIiffi4a/BZ3dDBtztL+NP1w1i5sYDcoga83HXMGZdA/xg/DuTX4eWuc1R/DPPina8OkVPQgIdRy9zxCc5+iI/wZsrwaLzd9bSbrGzYW0awnzs+nnomDYti0/4K5k1MJK5rtnjf0Vp+2FPG2ytzuGlWKlabonoeqJzTHC1pwk2vwd/L4LJcEgWCfIw9JspUTh+rLLM1u6LP9Rv2ljE8NbTP9YE+Rtp68WUExwTUgFg/tmRXAg6RpkvTwdNN5zRXPhlRAB9PA3pJRJG7fIhsMuGBHjx90nipm7GZERwuqueha4dS32JCAPYdq+25YRc7cqr4/fxBfLGxgAlDopzRMcH+biyY3h93g5bV24qdgoevpx5Pdx05BfU0tZpZML0/nm5dUUqiQJCfGxFBHj3Si0VR4JLxCezIqWRQcpAzUiUpyodgP3dWbSniwzVHuHBENMF+bjS0mKhp6GTN9mJEUeCaaQP49Ltj3DY3jXuvHMSBY3VIksC10wfgZnR8zi28OBWNRnARf7ppaDGx7Ps8woLcuWR8ImnxAXy1uZCmNjP9ov24+II4Vm8rorrBMdaMCvbkg9WH+XJTAX/73Wg+WH3Y2Wa9XkNVfd9jUi93LaMzwkiLD6Cx1cSa7cUUVrQwYUgUNrvMR2sO9zqJ8+m6o/zz7rH8++M9XDYxEZ1G4nBJI63tVn4/fzAH8uocE7JhXjzxpqtnVIfJxoffHOHGi1NJjPThWGkTWo3I1KxoZ8qdRjo/q2G2dlhobjPT3mnF3ajF20OPp1vfVihnGlEUycjIcP7/iBEjOHr0KGvWrDlnBCBFUbBarae0kDmfOKcFoIKCAi655BKXZV5eXgQGBlJQUNDHXr1TWFhIfX098fHxZ7KJPwmTTaal3cKB/DouHhPL7y5NR5EVOsyOUpFP3jKSt77MoaC8mYUXp/aoClbfbOJfH+3l/qsGO9R9m8ziL4+v9/c2cOe8DL7fVcrmAxXY7App8QHcc0Umn6475jRKjg/3JjnKB9mu8My7O3nq1pEuL1dFAaNOwx2XZfC3xTupbz4+ExQV7Mmd8zJ4/I2tJ+XwannyliwmDIlwlisWBLh1bjqdJht/fn0rTa1mgnyNzBoTj0YSmT8lGR9PPW0dVirr2okN9+bh64ai00i9+nWAw5iwoq4dX089d87L4M0vDhIX5k16YiCKorBqcyHjBkdww8wBfLkxH5vdkd9sl2VaOywE+RrZlVvNpKGRxId7c/cVGTS3WRiTEU5MmBdebroextATBkfyxufZvbanrKaN5nYzE4ZEklfW1Os2ozPCsVjtbD9YyQUZ4Xy9pajXwYzZYmdbTiXDBoSw+UBlr7NzkcGe6LUioweGsX5PuVNcW74+n8++O4ZGErggI5zwYE9eX37AJWVl8VeHuPvyTNJi/Zxm0ioqPydtZjsPv7bZJfLvUGEDD726iefvHoPuFNlKApCVFsoFGeEs/S6PvLImDDpHVOTD1w2jpLqVEH83Jg6N5pN1R6hrMuHnZWDu+ASGDXB4iOWVNhMZ7ImiwDXT+vHe14ddzpEc5Uv/GH9W/OCIqmntsLLk26PcdHEqR4qbOFra6FK69ouNBQwbEMxfbh7ZI+R9V241R4obePDaobR1WGnrtBLi78Zjb2ylue34tgadxH1XDaa98zBFlS28uyqXf987lqun9cOg0/DZd8eobewkMcqH2+aks2x9Hr//1w/EhHlxw8wUln6Xx6ffHUMUBIanhPDwdcN4den+LrN+DXIvqaEqKucKR0oaiQhyR+ilFFSwrxtFVb2nEKmcDgKiINCX/59dVgjxdycuzIuCip79fcmEBNZs772qkygIyCeML6ZnxaDXiNhsMgatyNQR0azaUtRjv/FDIgnwMfSoHGbQiNx9eSb/XrLXZdwUE+rFqIFhKLLCvz7eQ3ObhczkQIL93Pu8alFwFNWoqG1j0tAoAC4aFYMoQHldB6IosGpzITGhXlwxOZm2Tgv1zSbCgzwwWxyVGP/48kZunZtOeV0rdU0+3HvlYFZvLWL97lIsNpl+Mb7Mm5iEgoICzJuURFlNG9UNHVw9tT9PLNpGc5uZ312Sjtlq57E3jo+NLx4TT6fJxrPv7+Ifd13Au6ty2XmoGlEUuGteBruP1LB6axEt7RZC/N24fFIyl05I7DE5qddKZOfVMXd8AsWVrfh56fnT9UORRMdkxgsf7+m1sEplXTsVde3sPlyDm0HDhCGRZCYF0mm2Oa0Vjvcl/O7SgTS2mvn7O7toajMT7OfG7LGOb6tAXyOy7DCF7g1Fgf15tdw4O8353dPNO6sOsXBmCnqdRHlte4+07m5WbMjj8knJ6HUS11+Uwltf5tBpthER5IFBJ3G++VvWNnXy0id7Xcb1mcmB3Dkvk8BTFNX5uXF3d8dmO/49+I9//IMffviBsrIyPDw8GDp0KA8++CBBQUEu+61fv57//Oc/5ObmotPp6NevHw899BADBgzo9TwbNmzgzjvvZOHChdx1110A7Nq1i6eeeor8/HxiYmJ48MEHefbZZ+nfvz/PPPMMAA8++CAHDx7kD3/4A88//zwFBQX84x//YOrUqaxZs4ZXXnmFgoICvL29mTFjBvfeey96vcNTctmyZTz00ENs3brVxTZm1qxZvZ7jz3/+M08//TRFRUUkJCTw+OOPk5qa6tyvra2Nv/zlL6xduxa9Xs/cuXPx9/c/A3+FvjmnBaCWlpZeo3m8vb1pbu7dc6E3FEXhqaeeIigoiBkzZvzP7dJoTk9hbmqzYJcVTGYbOo2GoooWln6fR2V9O5FBnlwzvT/3zs/EZldobrf0OdP13te5PHbjcMpr2vn9lYMwme18vPYIN8xM4ZVP97vkHGfn13G4uIE/XT+Mp9/ZidVqZ+LQKA4V1jOkfzBe7jo8jFqXMNXapk7iI3xY9MVBF/EHYOYFcfzjg909ysG3d1p57r3dPHz9UCYOjWZHTiX9ov3Izq9n1ZbjoaE1jZ288flBLp+UxL5jtYwbFIGfl4H88mYWf3UIvVbiyVtGnrIf7XaZCzLC2ZFTxU2z0li/p4y3vsxBEgVGpoWi10r4eBjYf6yO2y8diJ+XHq1Gwstdx71XDua/yw8gCI6c8+c/3O3ycTpsQAiPLRzBI//Z4gw11mrFXl+W3ZTXthEV4kVqnL8zN72bESkhXYa1dr7YWMBFo2Kd5Sx7o7C8hdHpYdw0KxVPNx3f7ixha9dMGjjy0iVRZP6UfuSVNTNvUhJ/fXuHM2XMZlf4fncZB/PruXFWqsuLQlHg30v28sr94/HQ/7ImmlLXbIx0hmdlTvcePJ/4ufr0jCEILF1zpFevqnaTjU37K5g6PAq5j6pVWklk4pAonnp7u/PZZLLY+WZbMXmlTTy0YAjf7y7jgxN8GBpaTCz6/CCVde10mm18t6uU0AB3ZoyMZXhKCAMTAzlwrI6WDgsJET60m6w8/+Fulw+LiUMiee6DXcybmOwi/nSz41A16YmBzgpFJ2KzKzS3WfhozRHuv2oQL3y810X86b6GVz7dzw0zU5wRk4riiNw5saLMFZOSefKt7TS2mtFIItdOH8CTb253pqDaFYUt2ZUcKmrg8RtHYJcd6QqyLP/i98Vv+T78OTnr7/EzjF2WKaxqZczAUCSppwAUFuDG/vw6p4/iz8251v8/9T7UCAJjB0X0mb40KDkIs8XGw9cN4/3VuWzcV4FdVvDzMnDdjAFoJKHPik5D+gfx6lKHB1BSlC9ZaaEubbtkfAJe7jo+31BAp9mGUa9hxqhYRg0Mo6nVTLC3oUd6cEa8P6/cP54dudU0tphJi/fHYpMpr2llzfYS5zP2cFEjU0fEsLrLXuFkRg0MY1duNWGBHjS2mpg/JYn0xEDaOqwUlDcxPDWUq6f2Y0CcP2u2F/PdrlLn2Coy2JP7rxqEv7eBVz/bz7N3jGbFhgLqm0wE+Rm5+4pMJFGkuKqFlz/dT0OLifuvGoxOK/KXm7OoaeqgtKqNplYz07JiyC9vdimNXtPYyaKusfGkoZHkFjY4U7dmjYln9+EaNu47HmleVd/Bv5fsdRox7z9WS3SIJ5dPSsbPS4+CI2qurqmD974+jF1WiA314uY5aXxyUnR9eW0bN89OJcTfnWXr80iN9+fS8Yl8tbmQv7+3iweuGcLa7SUuVShnjI4jp6Ce73eXOZdVN3Tw+vJsbpiZwrc7Shg/+NQV+yRR4GB+fQ/vPEWBN7/M4bk7L6Csuu+Iv7omE/Fd73FJdPgOGfUabp6dhqwoGIya88b6oLXD0kP8Adh7pJaXPtnLH64e8otFAnWLPd0pYGvWrOGWW25xrq+vr+eWW24hKCiIhoYG3n77ba655hq++uorpyXLqlWruPfee5k4cSLPP/88Wq2WPXv2UF1d3asAtGbNGu677z7uueceFi5cCDgKPd10000MGDCAF154gdbWVh5//HFaW1vp37+/y/41NTU89dRT3HbbbYSGhhIWFsa6deu46667mDFjBvfddx8FBQX861//orKykhdffPG0+6W2tpannnqKm2++GU9PT55//nnuuOMO1q5di1br8O99+OGH2bhxI/fffz8RERF8+OGHrFy58rTPdTqc0wLQmeKll15i27ZtLFq0CDc3tx/f4RSIooCvb98zDb3RZpHZtK+cG2elkVtUjySJXDW1H3a7gkYjsG5nCXHh3nSabOhOMbipbuiguKqVf3ywG3CE49531WCOlTb2MJwDsNpk1mwvZvrIGGJCvVmzvYRDhfUkRflxR1eVq6EDQthxgo9Nh8lKTkFP41QfT70zbPRkKuvbqarv4KM1h7n90oHotRqee7/30sifb8jn9/MH8daXOVwyPoHy2jbuuTyTf328h+KqFoL93Ho9jygKRAZ7opFEDDqJ5z/c7fKBtXpbMXuO1PCn64dxz/xMduZU4+WuY9WWfMpq2ggLdOfmOen4eulZuu4YRr3GRdzZcaiK+Ahv/vq7kby7KpcDx+qgy1uptwpnAFEhXry+7ACXTUpi0rAodh+uRhQEJg6NorHVxH0vbsDHQ88VU5Kpqm8nyM/o9P45mSBfI599l8e2g5VoJIErL+yHr5eBjXvLuHxyMqIo4Omhw1eSePKWLN78IqdXv6Dapk6q6tuJCfVyMV1UFNhzpJZZY3/5CDgAL68zN0vx/7kHz0fOZJ+eSRpaTC7m7iez71gtF4+Jw6jX9rq+uc3Mh98c7jVaLr+8mU6rnU/WHeu5EvhmWxEPXzeMhEgfJEFg3a5SvtxUQHqCP/OnJFNW085z7+/qIeyG+rvT2mElPNCTLadIkfhmWzGRwZ6kxQeQnX/cuyfYz42mVhO3zU2nvtnkTHs7maY2MzqthCQK2GUFmx2WnmComhzty7GyJqenWlZaKD/sLeu1qktTq5ldudWMyQjHZLbh7eeOVvPLCbzqffjzc7be42eaosoWR7p0hC+enj2vOSbcB0UpodViJyS456Tgz8W50P+nex/Om5TE7sM1PcYiYwdFcKSkkWfe3cWL943jqqn9mTI8mnaTzVkdNsDHSJCv0VkRq5sLMsLRSCKZSYFMHBpFXJgXft6ufWeyOESf2y8biJtegyAIbNpXxr0v/IBRr+Gl+8cT1Mt1+AOhgR4s+z6Pj9ce4YopyQT5ubmMbzrNNoqrWhibGc4PJ6Xl+3kZGDc4kqfe2s4TN40gwNtIm8mKyWzHw03LoORg6ho72XSggq+2FJIc7ccjNwznk2+PklNQT2l1K+99fZiRaWEsW5+HgsCWA5WMyQznqbd6liUHWPxVDvOn9OPNLw7y99tH83V+EQDDUkJ48s1tve7z+YZ8nrxlJK91GWkLgsNv8olFvW+/9Ltj3HpJOm2dFhbOTMVml1m5pZC80ib8vAxMGxnLM7eP5oGXN1JY2cIXGwu4cEQ0n29wTG5cPimJAB8ja7YVk5kciEYSufiCOJ56e4dT8Pn0u2Pcd9Ug3vnqkDMdbGj/YB57Y2uvbfp47RHuvCyDirr2UxZHSInz55HXNve6TlEgO7+e9MRAlv+Q3+s27kYtZdWteLvrKa1u59oZA0hPCEAUoKHZRERQYK/7nYs0t5l7iD/d7D1SS3Ob+RcRgDo6OkhJSXFZNn36dJf0r6efftr533a7nczMTMaMGcO2bdsYPXo0iqLw97//nVGjRvHKK684tx07dmyv51yxYgWPPPIIf/rTn5g/f75z+eLFi5Ekiddffx0PDw8AIiIiuOqqq3oco7m5mTfeeIOBAwc6l91zzz1kZGTw/PPPAzBmzBiMRiOPPvooR44cITk5+XS6hubmZt5//30SExMBMBqNLFiwgP379zNkyBDy8vJYs2YNTz31FJdeeikAo0ePZsqUKad1ntPlnBaAvLy8aG3tqQI3Nzfj7e39k47xySef8Morr/DXv/6VrKys/7lNsqzQ0tJ3XmxvuOklFKB/tC+VDe0s/vIQEcEe6LUShZUtDO4XRKCPw4Q4r8z1gZmVFsrYzAjAUd3Ky12Hu1FLe6cVWVEwW2wcOEVJyoP59cweG89rS497cTS0mPB002HUS1wxOQm7XXbm/bZ0WHo9jq2P2foT1ysKdJrttHZY6cuOwmSxoygOMcvTXcfW7EpC/N3JTAri8w353DInjafe3tEjV3zuuASOlTSSEOnDtztKe8yug2Mm5UBeHRpRINDXyNPv7HSuq27oYO+RWm6ek4aPl4Fb56ZTXNXqUilh1ZZCAn2MXDQqlur6DrZkVzJ+cASrt/UMefZy1+HvZUBW4LWlB4gM8uDOyzNY8YMj/ezfH+8l0NeNiy+IIzrEE38vA4mRPvxt8c4exxIEx9+5e53N7iil+dfbRjJ9RDT//fwgN8xMobVrwGazK1isdu6/ajBajYgoCpTXtvHlxgLqm00cLKgnLty7R9WNxlYTra2dv+jMiCSJeHkZaWnpxN71G/pfPxr/P/fg+URvfXo2ISvg62no8ZHQTYC3EYvJiqmPZ02HVXbxNzuZxhZzn2bpNruCJArkFja4zJqu3dHBxn0VPHfXmF6j+mLDvbpmESVa261kpYWi14oIXakDlfXtHClupK3DQlV9OzfMTGHxVznsP1ZHRJAHafH+DOkfzNLv83509tNkcZTttVvsNLaYXAxS4yN8OHSCAJ8Q4d1r2kQ3+445ygEPGxCCzWqnrbVvA9eTUe/Ds5ez/R4/02QfdUQ8eOolWlt7PjcMXRXujhbWE+Dx83/s/FL9fyYE1NO9D40agb/fPoot2ZVsz6nCzaBl9MAwmtvMvPPVIQJ8jFTUtfPkm9t7jPtmjYnjr7eOZFdXVIpR56hGGx3iiUErkhbrh90uo8gyjY3tLvt2WGXeWZXbqw9Qh8lGcUULOkHpVfgXRIGcgnryypr5cmMBV089PsvfP8aPYD83cgrrGZQUxLCUENbvKaO900p6YiCJET68sSKb2y4ZiLtRxxNvbneWWhdFgSnDo4kP9+ZIsSNlqaq+gy0HKnhgwRCq6tupbzax+3A1F46IxsOopbK+nUBfIyWn8KSqazLhZtDQYbLx2Xd5BPm5odOItHZYTjk2NlvttHW9Fz3ddNSewheyrdOKJDpKsrd2WnjuvV3OqNuq+g4OFTZw8QVxLLw4lTc+P8j2g5W8eP94Nu6rICMpEJtd5r1Vucy8II7ESB/iI3xY+l2ey9/8wLE6GppNzBmb4JhUEaGhxdynnWSHyYZOK5EU5cOIlBBqmzupqmtn5aZCSroieqaOiMZqk+kw923UXNPQwZiMcIx6Ta8+QtOyorHaZYL93NBrRbZkV/DxmiM8euNw3I1ampraT8vy8myeyOjNEuJ01p8pDAYD77//PgAWi4WcnBxefPFFHnnkEafw88MPP/Daa69x7Ngx2tqO23kUFRUxevRoCgoKqKqq4oEHHvjR833yyScsX76cp556itmzZ7usy87OZvjw4U7xB2DIkCEufsHd+Pj4uIg/7e3t5Obm9mjD9OnTefTRR9m9e/dpC0BBQUFO8QcgISEBgOrqamd7FUVh8uTJzm0kSWLSpEksXrz4tM51OpzTAlBcXFwPr5/W1lZqa2uJi4v70f3Xrl3L448/zl133eVU3c4E/58P6OtmDMBitXO0pIlrpvdnx6Eq2jttzBkbT2KUDyazncq6dqJDPAnyMVLT1MkNM1NobjPzr4/3OD8SUuP9+eM1Q1iy5giXTUqiscWEj4e+z/N6uunILWzoMSPd3Gbhsf/u5oXfj2PmBXFcM60/iizj7qbjzzcMx2Z3mN3llzfR2mElItDDxYD4RLQaEY0kMnlYNK8vP8B1M1J6bHMiGo2AKHbnojuqk90yO41/frSHdpOVx28awbc7SjhW0uQwgs2KwcOoxctdh1Yjsvdo30beW7MrWTB9QJ+zLO+tyuXuyzN55t2dXHxBHNNHxjg/sFraLcRH+FDb2MFjNw6noradQF83aps6XcpO+nkZ+P38TOqaOvFy16EoCtfPTOHlT/dTUtVKVmoo180YQHpSIPVNJooqW/h6axGj0sO7ykcfdQ6C9FqJGy5O4fvdZT0GW19uKqR/tC+Th0Xh7aY9/rsTBAYmBvL68gPOj9nYMC/uvCyDRV8cxMOow9T10nQ3aIiP8MEuKwxKDsRstv9oFaafA7tdPqPC0/kS3vu/cKb79EzRbYT5t3d6ip2Ao5Kg1d7nAE0UBPQ6qc/KMTrtqaNc3Axap/gzpH8w4wZFONJKFKhr6nC557sxme1EBBsJ8XMjIsiTgopmkqN82ZlbTUVtG5lJgVwxOZmcAseA+CiNZCYHceOsVPJKm9ieU01ZTRuebjqa28wuA1cPo5a4CG9sNpljJY1EhXgS5OtGaXUr7kYN00fFkpEYiNyV3mLUSk5R32y14+mmc0ZFnnw9VQ0dBPi40WmxodEYfvHfw9n4+zufOFvv8TNNQUULfp56h29fL2MMjSjiadRSVtv+i/bHudL/p9tGg06itSsd1my1s/irQzR1RR1OGxnL4pU5vU76fb6hgMnDohg5IIjh/YMcYzhFQbbLmH5EKLNY7ac0qm9oMSGHejj//pIkOMtL22UYnhJCWkIAgb5GzFY7KXF+XDohidzCBkqqW4gJ8SI6xIvvd5dy48wUGtvMuOm1VDW0c+OsVPy9jPz59S3OKmXgEM9Wby3isomJZCYFsrersqTVJrNk7VGmZcXw/mpHNKrdrmCxyvi46x2FAYy9R7CCwydH6mr7/7F33uFNnnfbPrUl25LlvffeAxvM3mFvAiSBLJKQvZukaZq02c2ezR4khJAECGSywzbDYBsb8MB77ylrS98fMgJhmzb9+rbJ+/o8Do4DSc+SZN3Pff/GdXm7KUiJ9uL7A2XIpf94SZYa7cWOo9XojWac5BJEQgHjUgMY3S/ObTCZ+SWnhtySFrzdnDCZLXy4pXDQufl3B8p59b6JpEV7MTkjCIPBzJNrRiMVC3h+bQ63LUlm3bYisgsauO+qNJzkIu6/Kh2pRIRAYHOG259byzubTzF7TCgGo5nJGZdPcHiqFfT0Gahs7EYmERHqp2L1/ARyzjYRGeRGeICKmsYeooPdBugLnScjzoefD1dw/9XpvPl1noPu3sS0QKaPDGHbkUre2XSKJ9eM5khhA1ar7XtzUUgwGn/7v9l/FufL/J39M6//uxAKhQ627CNGjMBsNvP8889zww03oNPpuP3225k6dSo333wzHh4eCAQCli1bhl5v+811dnYCDNAEGowdO3bg5+fHpEmTBrzW0tJCaGjogOcv1uo5j6enp8Pjnp4erFbrAP0dpVKJVCr9VfIy57lUquZ829f5993S0oJEIhlQuDKsAXQZJkyYwLvvvuugBbRt2zaEQiFjx4697L5Hjx7l/vvv58orr+SOO+74T1zuZXGSi2jp7MNkttgrU1KivFA6SXlp3Ul7tUZcqBsPX5fJ7uNV6Awmh/YAsFX0tHed4qFrM2hq66OstovMeN8he7qnZARxIO9CS0NiuAdltZ1EBKoxmCzsyqkmLtSddzaf4uoZsXyxvZggXyWZ8T5IREKc5RJ6tSYqGrp55raxvPZlLg1tjpmduePCaOvWggBqmnrp6TPgppQNag0f6qeirrmXkfE+5Pe7Nmi0RvuiTioW8fK6E9yzIo0Zo0JwU8kRCGytF3KpiPFpAZfVAJBLRRiM5gFaRefR6k2c15j87kA5T9yUxbbsSixWiAxUc+x0I98dKOeqGTGoXaQ8+MZ+lk6JYuXMOMrru/B2U6B0knK0sAGLFe5ZnobBZObNr/Oobe5F7SIjLMCVQ6fq+fTHM1is4KmWs3xaDOV1XegMJl6/fyINrRoEAgESsZAt+8rsltYX09zex9LJkezJqcHf0xl3FykCoKqplw8u0gwBqKjv5uX1ts/NbLby5td5rJ6fgIergsLyNmQSIc4KKWbg96FqMMzvFYvFSniAinnjwhxsZIUCuGFeAm4u0iGDkEKhgD6tkSkZQfw8SOWLQABKJwn+ns7Ut2oGvO7dvzgAuG1JMi0dWt7ZlI9GZ0ImETF9ZDALJ0USHezGxj2ltHXpiAh0ZdGkiP6W0UoOnWpg+shg/vTuYfuC5UhhIx6ucv5yUxa1zb2s317M6gUJPP3xMZra+8iM8+FMRTsb95TarIMnRbBpzzlumJeAi0LCmYo2ZFIxK2fF0dTex7JpUVTWd+PhqqCtU8vznx3HYrHiqZZz3ex4rpkRw+6cGqobe5g1JpQ3v84b9P1cMSqYzDhv2rv0WLmMsvYww/yGqW7swcvt8u1W7io5jW0Df/PD/HoEQEePnt2DOEn5ezoP2cIKcLayg5ExnmCxYvkVYrs2jUaZQwDmYkL9VZjNNjdbvdlKYXk7Xb0GYkLd+OlQBUunRvPVzmLW/niGK0YFc/UVsTz18VGH9tgfDlbwh1UZHC5soKaplzB/FW5KOX4ezpTUdAx57m3Zldy0IMkeAAIorelk6RRbVt9ZLsZssRAT4oaPuxN+ns54qhVDSgSkx/rYW4Qjg9TsPl7NDfMS0eqNl50bW61W5o0LZ39uHTqDGZFIwCPXZXLsdCMvrz9hD3DMHR/OpBGB1Ldq8FIr7NU1g1FR38WIOB/e/7aAXq0RiVjI1Iwg7r9mBLuOVbNyZiwFZW3UNPeSGOHJh98V2u3Ux6cG8PC1mby07gSuzlJC/GzrMJWzdIAZAtjm0Dlnm2jr0pKV6MeZijZ6tUZGJfgyc3Qoz392nDA/V1Kjvbh2dhyPv3d4QEVUmL8KtVLGxn6X4JsXJiISCtFojXiqFegNJr7eVUxKtDeLJkWiM5i4/6p01u8owtfdGanQyu8gZvtP4+oiIy3Ga9A2sLQYL1wvUwDwP835Qoxz585RVFSEi4sLr732mj1wW1fn2I55vkLnn3Hj/tvf/sbzzz/P6tWrWbt2rUO1j5eXF+3tA2UGBnvuUlMBpVKJQCAYsG1PTw8Gg8EepDkvBm00OlZYdXf/ejMCLy8vjEbjgO6ltraBciv/Tn7Xa70VK1bg7OzMHXfcwcGDB9m0aRMvvPACK1aswMfHx77ddddd51BaVVZWxh133EFoaCgLFiwgLy/P/q+6evBAyf8kAoGtNcpJJmFzf0BHJhWxaFIEz3923KFV52xlB39+7zBzx0Xw46GKQY8nlYjo7TOwJ6eG7w9VcLayjUWTBmq7pEV74+vhZLcX91TLuXJaNADuSjmzRocQFejKO5vyWTI5kre/ySMySI2LQkJ3r5E/vXOYD787zfcHynll/Ume+/Q4D64cQXiA7SbgpVZw25JkJqUHkhLpRVyIO49en8nJokYevX4kCplj/NHVRcr1c+I5UtjIzNGh7MmxTT683BT4eDixen4Cnb16TGYLAoEArcHE/txazlS0Myk9kNySFl74LIdZWaFDftbLpkUjl/3zcc/Smg6CfW3vZ/HkSKQSIfeuSEOjNdLVa+D5O8aSHuNFbUsPMcFubNl7jntf3ceXO0v4alcJ9722j5yzTcwbF463m4Inbs7imU+OcaSw0X5ja+3U8fbGfJu+R00nH2wptC38uvrYd7J20OAP2CYEW/aX8dPhSh595zBaowWjFdb+dHbQ7Xv6jLR2agn2VXLPijROFDXzwuc5/HSogm3ZVfzlgyNsP1qNZRCXlWGG+XcitFhZOD6ctx6YxB1LU7hneSpvPTiZsQm+l3WiM1is7M+rY/74cML8HbMqAgHcvCCJbdkVPHRtJkonx8yXs1zMHUtTqazvYmJaALVNvWzcU2oPBuuNZn44VMHH3xViMJl57IaRPLRqBLEh7ry1MZ+uXgPbj1Qxf3w4731bYA/+KJ0k3LE0hRvmJZBd2IBYLOSeFansO1lrr8yZOCLQLnpfXNWOWCTk+TvGsT+3lpe+OMFPhyv5du85Hv37Icrruiip6mTyiCCe/OgoR0832s/V2qnj5fUnCfByYcX0GK6ZGYu/pzM3zIkf9P18f7CCDTtL8HJXYLH8L5r1DvN/BqvVSk1zLz7/wM3GXSWj/jK21MP88xiNZq4YFfIv7SsSCgZUbw7m3HYpcomQlbNiB30tLtQdtbMUiUREn8lCaW0XZfVdJEV50ttnJC7Mk5aOPnsyM8zflbc25g/QRjNbbMkvXw9nFk6MoK5Fw1vf5NGlMdAwSMLgPD19RmSXqSxdMDECqVjEmkVJnCprZVSCH2aLleduH4vK2fE+5OPuxIIJ4ew9YZvfWq2w76TNoCPM35U/rMwYdG5874o0AL7eVcKTt4wmPcabbo2BbdmV7DxWbW977tUa2bCjmKb2PsprO/pdr4ZGJBSwdX8Zvf2tQkaThW1HqsgrbkbpJOHJj45S1dDNuZpOPvrutD2wYzJb+OVEDVv3lbHiihiiQ9x5cd0JPthSaNP6vOS8aqWMVbPj7JVLj7+fzYadJfxwsII/v5fNO5tOsWZRMmOS/fnspzMcyKvjL7eMJjrYDbAlb2dkhXDr4mR+6DdhqGzo5uUvTvLalydZ++MZnvzoCOt3FLFkSjQKmRgXJwl6vZlgXyUPX5tpa60eurPsd4nSScpdy9JIi3HUNUqL8eLuZWn/USv4SykttWkxurm5odPpkEgkDmPB999/77B9eHg4vr6+bN68+R8e28PDg7Vr19LV1cVNN91EX9+FsT8pKYkjR444tJnl5OTYK4wuh7OzM3FxcWzbts3h+Z9//hmwVTYB9hjDxV1IZWVlNDQ08Gs5Xzm1c+dO+3Nms5ldu3b96mP9Gn7XFUCurq6sXbuWp556ijvuuANnZ2eWLl3Kfffd57CdxWLBfNGvPj8/n56eHnp6ehyEowAWLVpkt2/7TyEQgEQkYl/uhYDO+NQAdh2rHrRss09nC3yE+KoG1ffx9XBG3G/rCPDt3jJmjw3j8dWjKCxvw2i0MDbFHzeljKrGblbPTyTEV4nJZKGwvA21Us6LX5zgzzeOoqtXx00LklC7yFk0KRK1iwyL1crbG/MwXBJG7+zV8+7mU9y8IInOXj0eKjnn6rro0hjo0xkpr+0i0FvJVTPi0OqNvHjXeDq6deSXtRLk7YKPuzOdvTpmjQnl1S9P2m/ey6dF882uYrR6C/MmhPHYjaP4cGuhgw6IXCriDysz+HpXCRKJiJQoT/JLHT+bmxcmUtnQjZNMMmSmSeUsddAPsVqtjE3x585lKTjJJBw+Vc8nP5yxvy4UwG1LUhBgJbuggRODROG/2V3KC3eO457ladQ09Qw50di4p5SZWaF8vbuEstpOvNROBHgpOZBXN+DvQCwSOIgM6o1mfsquZP74cKouY4dbWtPFxJQACrp15JW0EBHoytLJUZgsFjRaEz7uTmiNZlwkwl/VIz3MML8WgdWKk0TIyBhPrFZbZdDl/ugEQgE6vZmObgNFlR3MHReORCykuKoDF4WEuFB3dh6r5tCpemZkhfLy3RMoru6gvL6bUD8lEQFqDp+qIyrYDR8PZ3YcqeS6OfFYLFZyzjZxttKW8TlS2MjSKVGcq+3ikx9O09alIzPOh4P5dcikIgwms719Sy4V8cDVI/j4h9OIRUKWTolCZzAhFMo5mH+hslIsFJIa5cW0kcF09OgRiQSYLRbcVfIB7/Ob3aX85aYsqhq77VoUl7JuWxFXXRFDcVU7KmcZ8REePPr3wUUzD+bXs3x6DGLRf9bhb5hh/h109hrQGsx4/sMAkJxT5W1YLLYqkWH+daxW8FDKmDs2jB8uSTS2d+uID3MfVMhfKIDYUDcsFisCAZgR0NVnoLldi4erHDcXGRIhg7Z6mcxWwvxcuXlhIht3l9pdDidnBLJsShQCBOzIqeXHQxVotEaeXDOaDduLOXK6kckjAskvMdtda73dnIacZ2m0RtyUct7dfMr+HgxGM36eA3VexCIhY5P9iA1xR62UEujtQm2zbUxOjvSkqrGbWxYmkRnvTW2zhgde3+8QdIoIcOWFO8dzqqyVhtY+ux5RWW0ndy9Po6mtj8qGLkbG+3KksIHyuk7uXp7Kw9dmUN3YQ2N7H1GBaqKC1FQ3dSMRi5iQHojOYCbcX0VkoJp3+p3VLuXbvWX87c5xaLRGooLUg7qzCYUC/DycB9ipS8RCfD2d7fPLKZlBvLMxf9DzFJa3cc3MWI4UNGCxWqlu7OZsZTvP3T4WjdZIVWMPLgoJcqmYj7YWsmp2HM98MlAcu7C8jZLqDiakBfC3O8fZE6S3LU5CKBRiNJkxma0YjWa0lwT2DCYLBpMFmUTETfOTeOHzHIfEuUIm5rEbR1JS1UFqlNfve+E7CF5qBX9YmUFXrx6N1oizQoKri+w/GvyxWCzk5eUBtqqY06dP88477xAZGUlGRgYGg8G+Xp8+fTq5ubls3brV4RgCgYCHH36Y+++/n7vuuosFCxYglUrJy8sjKSmJyZMnO2zv4+PDp59+ysqVK7ntttt4//33kclkXH/99Xz55ZesWbOG1atX093dzdtvv42bm9s/FYy+8847ueOOO3jwwQeZP38+FRUVvPrqq8yYMcOu/5OSkoKfnx/PPvssDzzwAL29vbz//vuD6gz9IyIjI5k+fTrPPvsser3e7gJ2aXXRv5vf/e8gIiLiH4okff755w6PFy9ezOLFi/8Hr+rXIRQKqWrucbhxBHm7XFbcs7C8jYgA10EDQH16A12XCKj+dKiC7dmVRAapSY3yoqtXzxPvZ9vLU4UCWDAxkogAV77aWcxDqzL4y4fZdGsMLJwQgVwqIipIzY+HysmI8x3S/ry0ppNerZG/fZbD5BFBaHRGevsMhPm7UlDWxt6TtUQGqZk1OpSfTlaiN5qZNTqMs5VtBHkr2XuiliOFtsCVs1zMsmnRRAWp8XF3QiQSYjJZOHq6cYAIrM5g5sV1Obx493h+PlzJlVOjWTgxkn0naxAJhUzJDEIhE3P/a/uJDFRz4/wEXt+Qi/miiYhQKODWxck0tvWicpbiopAwPjWQbdmVfL2rhIQwD4d2ObAJ2r69MZ+/3TmOrfvzhvy+th+twtNVgUY39A+6trmXxEgPpJJYYkLc6dUakIpFvPHAZHYdr7ZXh/l6OHHd7Hi29gtKn6ewrI3548LxdhvcKQ0gxFeJ3mjiuwPlxIa6sWhiJG9+nWfP/oDNEvXGufEI/g+Iiw7z32cwTY/B0BgsPPTmAUxmK1mJvjy39jiuLlKCfJTo9Ga+3l2C1Woby0CAk1RIUqgbI2I8ae0ycPhUHVq9GbVShlQswt/LhR1HqxAJBYxN9mfhxAje+DoPjdZIr9ZIbXMPoX4qRsT6EB/mTm5xM2KhAMNF+gFTM4P5KbsSuVTM0ilRvPl1Lj19Rh65NtMhkOyukhERqObZT4/Zg7kioYAV02PwcJXbnVfOU9nQTdcgJfTnqW/VEOKnIudsE+f623yHEr4GaOvS4uP+23csGmaYS6lrtS24PQYJll6Mu1KG2WylrVuH1z8IFg3zjxFarSycEM7EtEB25VTTpzMyKT2QqCA1CWEePPL3g/Rd0kp/3ZwEZCIhAqwYrAJe+DzHYa7m5+nMn28chZNY4BAEEoiEHC5s5MOthcSFurNqdhwqZynuKjkWq+07NZmtdGsMdPXqiQxSc7ayndzSFiamBzJtZDAyiU0CQCwS4u2uGLINGECjMzJ3XBhNHX3MHRuOq4sMHw8nh/arqCA1q2bF8cuJWrbsL8PFScKs0aFIxEI+31bE6vmJiEQC8oqb0erNvPB5zoCKo7K6LjbsLGHhpAg8XBW4yCWYLRYO5ddxoriFqCA1912dxqhEP85UttPcoeVwfgNhAa4cLqhnVlYorV1a7n451x4QkYqF3LokGbFYSMVlzBC0ehM6vYkX153gzitTeHHdiQGCySv73YYvJSnCkxNnL7ThiISCIWUTABpaNUwbFUxqtBeebgp2H6/hhc9zkEpEzBodioernGc+OUZShCfHzzQOeZy9J2oZm+LP8TPNbD9ahclkYVyKP2kx3ry64SQtHVoSwt2ZPz6CI4UDKy0mZwSx/UjlAIMTrd7E0x8f45lbx9DercNXLb+s3tTvEaWT9L9a7aPT6Vi+fDkAYrEYX19f5s+fz5133olEImHixIk8+OCDrFu3js2bN5Oens57773HjBkzHI4ze/Zs5HI57777Lvfffz8ymYz4+HiHLp6LCQwMZO3atVxzzTXceeedvP3223h7e/PBBx/w9NNPc/fddxMcHMyf/vQnnnzySZRK5T98L1OnTuX111/n7bff5vbbb0etVrNs2TIeeOAB+zYSiYS33nqLv/zlL9xzzz0EBwfz6KOP/ssFJM8++yxPPvkkL730ElKplEWLFjFy5EheeOGFf+l4/wy/+wDQ/waEYiG/nKglPcab7f2OUr1a42Wt1d1VcgK9B/9DrmnqHTSzbLZYOVfTyYrpMTz10RGH3lqLFb7de47bFifz4MoRPPPJMbp7DTy0KoMfDpbz1a4SZmaFoNWbB1Xdv5jzQQlPtZxJ4QEUlrc5RPybO7QcKWzk/qvT+WpnCY+/n83D12bw1jd5ZMb7smJ6DAaTBSe5mNNlbTzw+n77oslTLefWRckUlrVxrrYTgEBvF6KCbGKFlfXdJEV6ojeYEAoE+Hk6kxLlhUwqsn+252o72Z9bx59vHMXhgnpqm3sJ8HJh1phQ9ufWUdfcyy0Lkwj1U/HI2wfp1hi4cV4C27Irh3zPh/LrCAtwtZWquzsRF+qOyWIhr7iFXq2Rnj4j7ko5bsqhJ7HOcjEmk8254NF3DqLRXhBqvnVJMh88OpWm9j7qmjV8sb3Inok6j4erHLlEyLKpUbz5jWO2JsRXSWSQmtFJfpjMVjRaIzfMTeCFz3MG9Kgfyq8n1E/FFRmBmP83NUsP87tFIBKy4ecz9gl2t8aAn4czDW0aunod+6RHJvhS1diNKMAVhUhAr87CK1/adNQEAkiO8uLvG/Np6byQ9fxqVwmhfipuW5LMS+tO4CQXIxELmT/B1mp76FQ9k9MD2Zdbh7ebAqHANmamRnvx3KfHePSGkby07oT9+kprOuxW8M79bi+f/+zYmmm2WPliexEPr8pgj1ONQ1C9o0eHj7vTkJ+HQiamql9Es75Fg/wfCF+LhELEv+uG72H+r1LfokEsEqL+B+5erv2vt3ZqhwNA/yaEViueSgmrrogBbA5capUCgdXKK/dMYH9eHfmlrXioZMwbF467UobAasUiEPD3TfkDEnUNrRqe/fQYT9w4iotHLL3J5jgV6qfC18OZsxXtTEgL4PUNuVT1u2kJBDA22Z/7rk6nR2OgpqmHh1dlYDZbOVrYyC8nakiO9EIqEdLSqeXmhYl89tPZAXpFYpEAAbDreDVPrM7iza/z2HGkimtmxnLPijQ++u40Xb16rp4RyzOfHrObDTS1Q1ltF+NS/Hn21jFIJEK+3F7E+JQAGts0Q86LD+TVMT41gKc+PopAAJNHBLF6QRJz2jTUNPXwza5SxqcGcN9V6bR3a/H3dKG8tpPV8xPp7NHz+YZch+O5KmVotEayEv3ou0xCUSCw3WPau3V8sa2Ih6/NILe4hdKaDtxd5UxODwKs1LdpcHWREhXkxtRMm4Czt5sT3+2/YLEuFgnt97zBEIuFdHbrUbnIeOzdww4uvO99W0BssBs3L0wir6TFIdl4KcumRduChhe5HX+zp5TdOTX85eYsHnhtH6fL25k9Joz4UDfqWjXMGxdOiJ8Kk9mCv6cL67cXDXpsrd5EZUM3Ib5KxGIhhiFMJIb59dx1113cdddd/3C7m2++mZtvvtnhueLi4gHbTZkyhSlTpgx6jFGjRg3YJyQkhIMHDzo8l5GRwZYtW+yPKysraWhoIC7ugkPg5YI1M2bMGBCcupTExEQ2btzo8NylVU2DnUOlUg14DyqVipdeemnAtqtXr77sNfz/MDwl/A1gMFkRiwRotEbiw2wq5ftz65iWGTzkPmOT/VE5SxmZ4OvwvLtKzl1XptKnNeI9iGhiSpQXJ4qahhzIf86uBAQ0d2iZPTaMbdmVduG7c7VdRAW54emqYKgqOmeFxFaCLYBxKQGolXI27SkdsJ3FYuWLn4uYMzYMk9nChh3FjE8L5JvdJRzMr8fNRUZpdQfvbD7l0P50XgPjqiticHWR8tCqDGaNDqWvX/TUVSnDz9OZFz63LcZUzjLe/7bAvu95cs428fQnR+nWGO0uWPWtGrbsK+P42SZe+uIEu45XMz41wP6+hhIIBGju0JEe48X9V6WzeHIkOoMZoUDAbUuSuXZ2HGnRXtS39RIe4IpYNPjPbtaYUGQSETKpmGdvG8e88WGAraVv74laWjt1uKvkHMirw1OtIDbEjfQYb0L7hfcWTozEbLKQGOnJjKwQhAJbUOiP12UyNTOI3j4jX+0soavPyC0Lk6ht7hlUoBDgu/1l6P4XOSUM8/vGaLY4OO19tauYW5ckDyjbTwh3Z+HECI6faaKxrQ+9Bbo1eq6ZGcuSyZGMTvQlr6TFIfgDNmHJOWPD8HJV8NSa0ahdbBnCzb+cY1yKPwsnRhIW4EpimAdOCglzx9nEDc1mKz7uzjS29Tlkf3ceq2bRpAgkYiFjU/z7x9XB2Z1Tw7iUAIfn/DxdSAj3GHKsmJIRxMG8etZtK2JGVgj551rs945L8XF3Qm8wYbYOt8UM8/ujrlWDp6v8H5buq5xsJggtXbrLbjfMr8NqBYPBhMFwwSHUarEiFcDMzCAeWJHG6rnxeCqldv02ndEyoAX/PLXNvfReErjo05t4cOUIJqYH0qc3MjUziLc35tuDP+ev42B+PadKW4kOVhMT4sZXO0uobenFSS7m9iUpiMVCtHoTY5L90RnMXDs77tLTM39CBEcLG7n6ilhe/fIkpTWdTBoRyLf7zvHWN3nMyArhiZtGsWXfuUGdJg/m12MwWTCaLFwxKhSVUk5b99B/c2aL1e4IZrXCyaJm8ktbKK7qYF9uHRPTApFKRLz5dR4BXkr++uERPvjuNDlnmti423HuHOKr5LbFyew8Vs29r+6jpX9OOBipUV72FuKyui7++uERqhq7iQhUIxYKeXdzPu3devp0RpZPiyY6WM0bX+Xxt89yeOHzHJIjL7gjnSptZUScz6DnUTlLEQkFGIxmdh+vcQj+nKeo382rvUtLYoTngNfBJi6uM5gcgj/nae/Wse9kLfdfY9NfeePrPO5ansqTt4zh2JkmnvnkGH/7LIdH3j5IqJ+Ka2fFERPiRlqMFx6uFz6fzl49ItGwvMH/BV5++WV++OEHjh07xqZNm7jlllvw8vLiiiuu+G9f2m+G4Qqg3wBdvXoy4315ad0J7r0qjaQIT345UYPeYGbO2DAHsWehAK6fl0B1Yzdf7Sph5cw4VkyPpqapF0+1AoVM1O+aJeTJW0ZTXt+FUCCko0fH9iNVhPopqW0ZWuyutVOL0dRvKR/uwZZ9F1zGztV2snx6NEVV7UxKD+KXEwMdIpZOiWL38WruuDIFg8nMuZrOIYNNDW0a3JQ2JfWyui6unxvPn1dncbaijS37y4gKUnP/Vel214HzaPUmqpt6+ON1I3n9q1yHXu9fTtQyf0I4tyxKRG8088GWAh67cRSf/3SWuDAPcs422bc1ma32MtLMeB9kYhFP3JTFN7tLOFPRzpZ9ZTxxUxY/Z1dS3dhNTIjboEr7AGnRXiRGePH0x0cdyk/359YxMT2ApZOj6NYYcHWR8uj1mTy/9riDhlJ6jDfpMT7c99o+TGYrri5Srp4Ry+v3TeLomQZaO7XUt2pwcZKyeGI4zs4yapt6OVfbSVKEB3csTUEqESESCSitaEcoEPDETVmolXKe/viow4J31/FqVs2KvaymQk+f0fa9Da8Zh/mNIJeK7FnW1k4db3yVy59uGElblw6z2YqzQkxpTSd/+eAIY5L8MJstvLPpFPnnWrBabZoNN8yL58XPTzgcd/KIIJIjPfnpcAVmi5WObh2hfiqun5sAAgEfbCmgp8+I0knCM7eNZf2OYmKC3bhtSTICIfh7OdNzSbtWt8bAxj2l/OmGkbR36YYU7AcwmcyMSvQlNdpm9V7b3ENihAcd3Tr+sHIEr6w/6RCoTYrwJCnCkxc+P24fW78/UM6DKzN4b/Mph7YHN6WM25Yk2ya+w7/lYX6H1LVqcFf9YycbsUiI0lk6ILg7zP8c5+3lL+0Wt1it3Lo4GbWLDIPRzL7cWk4WN9sX3r19RlzltuWHQAAyqZh3Np0iNtSNOaPD0OrNNA4h6P3LiRoWTozg3c0F3Dgvge4+A+3den7OPsX0kSFEBamxWqGysZtxKX4snRxJbkkzVgTMGh1KT5+BEbHeGE0We3WQ2kVGa6eWrl4DH24t5JFrM4cMYAEcP9NIQ6uGfbl1TMsIuqz1ubtKjkwqQiETc9OCRERCAWcr21ErZaycGUtOURPTR4Ywa3Qon3x/2p5IUA3yt3zdnHhe/uKEvR3r610l3LUslVe/POkwRw72UXLl1GjOXaT7Y7VCXkmL3VRkRKw31Y09TEwPQCCwtRUnR9patJra+5BJxQR4uVDX0svOY1U8fG0mLR1ah/mti0LCw9dmYDbb/N4On3KUSLiYE2eb8HJzQu1iS9JeqtGUHOVJdsHQAroH8uoYk+yPq7OUxZMjMZvhqY+POCR2tXoTNc09LJ4cid5opqNHz9hkf6QSER9uLSTAywUBNpHzYf53YzQaeemll2htbUUulzNy5EgeeughnJ0Han39X2U4APQbQCETU3iuleXTo/nbZznEh7mzYEIEbioZiREeZMb7UFHfjVgkINBbSXZBPaOTbJoVWUl+9Gj0GIwmNFoDAoGETXtKmTYqhJNFLfxwsByNzoSvhxMrZ8YR6qfk0KkGjp0evA833N/V7kBgNFkGRMrf/7aAO5elEhNixd/TmZ8OV9DRo8ff05mrZ8Ti4SonItCVs+XtVDf2EujtMshZLnBxVk8hE/OHNw84nDPQ24X7r0rnmU+POWhcNLRqkIqFgwr9HT5VzxUjR9OnN/HGA5OoaOjmZHELc8aG4+oipavXQIivkqmZwbir5DS1a4gN9eCZT45iMlm47+p09EYzZbVdlFR3EOyjZPfxGu67Kp380tYBvcNuShlJER7sOlY1oPcYYN/JOrIS/fjxUAVVDV1cPSOWl+6ZQEV9FxqdkdgQd8rrunjig2x7tVNXr4F3Np3ipgWJ5Ba3cLaynR1Hq1ErZTy1Zgyb9pSw9+QFC0W5VMTjN2Xh4SJBLBTyc3YlRrMFncE06IT485+LeOXeCQiFgkF7oX3cnRALBfArbFyHGeZ/CplYyMzRIXy5owQ4b7trpam9j417Slk0KYLaZh3ebk48cl0mri5Sjp5uIjnKkwUTI9h3spa9J2spPNfmUFXjpVYwIdWfPr2JmaNDaWzT4OfpjLebE8fONPLFtgvl5D19Rupaejl2upEjBQ0EeLmwbFoUM7NCHbTEznOmop2/fZbDrYsSiQpWD2iHAMiI82HuuDC+2FZEaU0nKmcpf75xFH/98Ei/3oEHL9w9nuLKdnr6jAT7Kqlr6eXl9SfswR9XFxlxYR68vuEkK2fGoXSW0talxVkuAQF8uaOY6+fEDxmIH2aY3ypWq5WGtj4yLnG4GQrX4QDQfx2LQEB1Uw/f7j1HU3sf/p7OXDcnnpUz4yip7mDvyVrcLg7oCYV88eMZooPVJEd68emPhczICrMLOl+K2Wyhs1ePVm/C1UWGylnKscJG7lmexua959h5zNbqHx/mwZgkP3w9nJk1OoywAFc6unV4quUUVdrE8x9fPYoTRc14uyu4d0U6ZbWd7DxWjRXrkHMjsCUPG/oDVJHBbohEAqKD3Sjpr3S5mMWTIwEr91+dzoYdxfb7gFwqYmJ6IJMzghAJYXyKP1/uvNAWUt+qIcxfRXt/dVF4gCsV9d0OWjx1Lb18/P1p1ixKwmKx0qUx4KlW4KaU8cwnx7h7eSpB3i5kJvgS5q/qN5Cp42xlO3PGhvHDwQoqG7p565t8FDIxUzKCeGhVJi+vP8H7Wwq476p0jp1uZE9ODS99YdMSUjlLKa3uROUiJSpIzb6TtWzcc441i5IQXSbLIBELuWZGLEVV7fzxukx+OlTBnpwaDCYLyZGezB8fzqc/Du5gCyASCenRGHjp7gnUtvTS2tlH+yXVflmJviRHevGHNy6sI3YcrcLf05k/XpdJY1vfAHeyYf538sgjj/DII4/8ty/jN81wAOg3gFwiIixARVyIOzHBbnRp9MilYnzcnXj8/Ww6unX4eDhj6V/wgE3w98b5CTz98RFuWZjMjqPVtHZpmTs2nJmjQ9l9vIbjF1W7NLb18dIXJ1g9P4G0GC+27i8bIOAHcNWMGArOtRIf5o5ELBxwE27p1PLMx0cZnxbAlVOjyIjzRm+0UNXYTXVTNyG+Ltz18j4WTYqgqKqdlChPxCLBoG5mYf4q6vsFHhMjPDh2unHADb+2uZeD+XXMGhPKdxcJpcYEq9nWr+lzMdNGBpMe480bX+dRXtfFmCQ/3PtLQD/8rpD7rkqnu9dAr87IT4cqaGzrI8RXia+HM9Myg/nuQDlvf5PPrf1aIFarzc2iV2tkW3Ylf7hmBBt2FlPV2INAAGnR3lwzMxYEtlaOocguaOCvN49mx9EqHnn7EEaThYlpAUwbGYJWZ+StSzR7zrNpTynXzo63OxR19uh565s8Vs9LoL1Hz6n+LJXOYObFz3N4/o5xhPqrEAkFjIj15uUvTgx6XID80hYyY304Oogo37Wz45CKBP+0QO8ww/xPYjZZmDIiiJYOLZnxvmj1JrR6E74eztyzPI0TRc38fLiC9m49kUGuLJwQSWOrhr0naxEI4OoZscweE8qhgnqmZAbxab+T38KJEbby+2/yaO++0OL559Wj2LL33IDrECCwt0HUtfTy6pe5PHHTKDCDt5uC5kvcVLR6EwazlekjQ9h1rMZBtN3VRcrM0SE8+dFR+0Jj8ohANuwstruynC5vo7K+m5+zKzEYLbR09DlUDqqcpbR3afFUK5g8IhCs4K2W09tnwGCyiY1edUUMh/LriQlW/3u+jGGG+Q/R3WdEqzf9QwHo8wwHgP67iERCckta7BqEWYm+TM0MZuv+MooqO1ArpczMCkUuFYPFNo7pTRaOFDbw3O1j6dEYmDc+AolYxBOrszh2pnGAGYpMKsbaP16KxQKOn27mmpmxHD5Vz5LJUTR39PVrRsnY/Ms5JqQF8ORHRxEJBdx5ZSpHChvsDrmr5ycQ7u/KB1sKae7oI8RXxY3zErBYrWTG+di3u5T4MHd7dbxWb8JstrJsWhSH8hs4mF+H0WTBw1XOkslRWK1WNFoT+aUt9uBPmL+twnR7diVPvJeNRCxkamYQj90wktc25NKtMVBW28kN8xLILW7GYgVfd6dBHV5rmnp4cd0J3JQy7rgyhX0napgxOoylU6JwV8m5e3kan287y3f7y3F1kTJ9ZDC3LkriVGkLs8aE8lL/HFGrN/HjoQqqG3u4ZmYsn/5whmc+OcrtS1LITPBBbzBTXtfF/txaJGIRIqGQJVMi2bjH9jk0tmmYmB5oNyu5lMkZQTz9yVHuv3oEQoEArd7EPSvSEAoFlNV20diuYXSi35DJ6amZQdQ0dbP7eDV5pS1MyQjmsRtH8cr6k3ZdoRlZoTz18dEB64j6Vg3bj1SxbFoUUokQhrUthxlmOAD0W8ACxIS4U1rbiburgoN59ZTWdHL70hTa+iPcl1a61LdqsFqhtlnD17tKSIv25uvdJazfXsQLd413CP5czMY9pTxz21ieWjOGt77Js5fAuqvk3DgvgbySFrbuL+OhVRm0dekYleA3QG3fYLLQ2KbhUH6DXdjUXSXntiXJ1LXYAlQd3Xp83J3YcbSKVbPiHKzTwZb9WDkzjne/PYWzQsK1s+N55pOjg17zvtw6XrtvIi0dWrILGnCSi4kP8+Dvl9hfRgWpiQl244XPc+zPldd3ERmktn+Gx043IpOK+faixV1ZXRcvrjvBjfMSSInyIr+0BVdnKa4uUuJC3fmmvw/7+Nkmapp7uG5OPAFeLrR0aDGZLTR32LJchsuUlRqMZvbn1jpogew4Vk1lYzcT0wKH3K+jR2+vyDpPcVUH3RoDC8ZH2ANA57eta+klyFvJrYuSEDB44O08fToTtyxKQqM3UlhmE9JVOtm+i5ggNeZhF7BhfkNIBDA2JYC/fXbcQW9namYQsSHu9uBLUWUHz1ce557laVQ2dFPZ0M0X24p4as1oFDIxmbE+/RPZOlKjvGjp0nLzgiREIiF6o4mt+8pwdZYO6npypqKN9BhvThY3kxLlRUSAKyazlU17SrnzylS+3l1i/y25KCQsnhyJWCTExUnCYzeO5P1vC+wtWgsnRLB1f5lDljkh3JPvDjg6gn13oIwlk6N49cuTA1wLV89PZOv+coqrO/jpUAVLp0SRW9LCjqNVzMwKYWpmCC+uO8GDV6djtgz/nof5fdHYZvut/LMBILWLjMqLdGOG+c+iM1lY+5NtTujn4czEtECe+/SYvfqwtVPHuv5qx5vnJyC0WrFarcwZE0Zzex9vfZNvb3cVCGBmVig3zkvg4+9P288xIysEqVSETCqi8Fwrwb5KujUGFHKxg7mJWCTk+rnxaPUmYkLcKK7q4M2vc/lzf2Bp+shgGtr6+Omi9tyyui6eW3ucu5elcvWMWIqrOgZoP84dF0ZeSYt9bpVX0oKb0tZCZrXaKn0ECOjVGth/spZVs+Pp6tXzS3+CUCIWcsPcBJ5be9ze0qw3mtm6v5ycs83cujgJncGMq7MUN6WM+68ewdofz9DRoych3GPIz95dZTMZCQ90493Np1A52xwyn/r4QoKhrUvHhp0llFR3MmdsGM+tPTZgjlhQ1sr8CeFIxUIMJgt6o5mPtp626wmdZ/aYUPaeqLU/9lI7Eeyn5EhBwwD3tVEJvhhMZvy9XPjLB9n89ZbR1Lb0sm/dhQTliHpvFk2KtN9fLybYV8nIeF8qG7rJP9dKT5+RrfvLyC1u5pZFSbyy/iRBPkoq6ruGrNo6mF/H8unRWCzD4rfDDAPDAaDfBEaThS6NAalExJ/fPYy5X0T5n3XbKixvY+GkCADcVDLK6zqH3Ker10BtUw8fflfInLHh3LLQDb3RTHu3jogAlT0b8LfPcrgiK4RVs2IRCOBIYYM9qp4S5cX1c+L56PtC+3Fnjg5h455SpmUG4+2mILuwgT+sHMHTHx9D5SzlTzeM5GB+PW1dWuJC3cmI82FPTjVXjAphdJIfp0pbBhWPO//5NLRpWDolCqWzhFHxfuScbSLjogyN7aYaj8Fo4ZFrMxGLBZwsbmHHkSr8vZyRS0XoDGYy4nx4+iJHsov5alcJdyxNIb+0hbYuHY9cl4lMLGLV7DhOFjUjk4oYm+xPb58Rg8FMoLcLZyraOHamCWe5hJHxvuw8Vj3oscck+w/qTtDaqcPFSTLk9zWUCKzJbKW5Q0OAlwsNrb2kRHnh7qpAIhFSVtvJiBgvdCYLiREe9gXppUQHuwEW7luWis5owWAy4yQTIxcPV/4M89tDa7Ly9MdHB7Rb7T5eg7+nzQmw9CLNgw07i1k6JYoPtxZy25JkWjq1FFV1UFjexsT0AK6aHs2xs02s+7nI3l6qcpbyh5Uj7GPwpXPJ3Tk1/PnGkSyYEMHJ4mZOnWtFLBISE+LOC5/nMGtMKAsmRGAyWzBbrOw8Ws31c+N5+uNjWCxW5o4Px9NVgdVqxdvNic+3OY4JFot1QPayrLaL6sZuXr1vIj8dqqC2pRd/T2dmjQmjtqkHiUTIuBR/xqb4U1LdyY6jtsrIbUeqmJAWSGSAK0KhEJFwWARomN8XDW19CAX8Qwew87g6S+nVGtEZTLYqk2H+o2gNZrsWzawxoXy5s3jQ1tOjpxtZPi0atUKMRCRkbLIfj75zyGFbq9VmSnLr4mQCvV2ob9UwKT2QeePCMFusrJ6fyIYdxTy+ehRVjd18u7fM4Rwms4UPtxby5C2jiQ5SU1zVgcUKRZXtRAaqyUr04+mPByYdBQJbRXVPn80F92xlG3klrSidJEwfFUJjm4b3+o1FAE6da2HBhHAa2jSMTvLjYH49HT06ooLcWHFFLHqjEaPJQl//fH5cSgC7c2oGnd/XtfRiMFrwc3fCTSXnZFEz/l4u3Hd1Os5yMSKhkC37yhwqSc9z6+Jk3tl0yu6Oe+3sONb9fHbQgMjJ4mZmZIUgFgkxmQcmLqsbe/Byc6K9W0dcqLvD+z2PTGrTG7348bubTrFqdhzN7X2cKG5GJhYxJtmfPp2RX47XkhHnTXZBAz19Bq6dFccznxyzV7SeKGpmTLIfCyZGMC7Fn0On6jGZrYxK8CUp0oMfDlQQ4qdy0DqqbupBpzfh4+6ETCIatKvhPCazFbPFimx4WBhmGGA4APSbQG8wIRUJWfdzkX1xY7GCTCJCJBQMqi9he+1CcEAqFvHANen4uDnRcxmbRYHAVqbb2qlj7Y9n+NMNI3l/SwFxIe7EhbrjLBej0ZnQG818f6Cc7UcquWVhEsumRaPTm1DIxHRr9LR2ablhbgJdGgP7TtYS7KPi612lBPt0cNeyVF5ef4K8khbuXp7Ke98WsC+3jpHxtj7k6GBXXBQSpo8MoaldQ0NLL6F+rkNec3iAKzVNvZjNVmaOCuXl9Sfo6NHz0KoM8kpbsFqsPLgygx8PVZJdUI/FahPLHpPszx9WjmDb4UqeWjOGrfvP0dtnHDJDoNEaEQhsn5Gri4zWDltrxemyVkbF+2IwmzlV2sKkjCCcnCTkl7Zw7EwTbkoZ0zKDUTlLkMtEJIZ7YrWC0WxzRejs0aN0kg4qatjercNZIUUhEw86IZg8IpCTxU1EBqqZNSYUZ7kEidhWUaDRGZg/PpxAHxeOFNpECQvPtTEywRepVIRYKGDlzDgee/fwgAlDarQXDa0a/D2cUYgF/f9sw8HFwR+hUIBYLMRisdoFH4cZ5v8XkViIzmjLLkrEIuRiIdbLVKiIpCIOHK0ZdCwE2HakkiWToxwCQE3tfSidpNyyKIkdR6s4U9Fuf62zR4+zXMIn3ztWJnZrDJypaEMkFDIywZcjhY7l6OcDNC99ccI+ES2r7eTxm7LYe7KGb3aXonSSEBXkhsliwUUupqy2k5omW1XC+xdNpB+5LpM7l6bgJJcgFAoor+9CbzQN2koWEajm+NlG5DIxIb4q2rp0/OGN/fz15tGE+Kro0xl58+u8ARPg5o4+7lqWyic/nB7SJWyYYX6rNLT1oVbKEA2RCLkUlbMtUNTercffc3h6+59GKr7wPXm7OVF9mWqswvI2Jib7IRMLOXK6cUiNsm3Zldx/VTpWoK1LS7fGyAvrbC5Vty1JRiIWsi17oBzAefbl1hLuf2F+2dWrx00lo1tjGPScy6fHUFzdwftbbGP1c7ePpbNHj0Zn4vOfz7BoYqTD9lYrvPl1HndemUpdSw9ebnLC/JR4uTlhtVqxWAWE+qlIjPCg4FwbY1P8eevrvCGv99CpesYl+6NWyTlc2GCv8haLhFw7O47HbhjJi1+csAdfhEIBy6dF09qptQd/AAK8XAbVnTtPSXUHQT5K+z1TILC1RKdGe+MkExPmr8LDVUFHt44gH6X9Hnae+pZeMuN9KO7XPSqt6STUT8XfPssh1E9FfJg7JrOFz38+S3u3jpsWJBLqp+LuZakIgB6tgT/dOIr9ubWUVHfippQhEgrx83DCW60gPMAVq9VKS6eO4qoOYkLd+PvGU1xKfmkr0cFu5JxtYsmUyAGvnyfYV4lWZ8LNSYJ+uLp9mGGGA0C/BSxWEIuFVF8ywB46Vc/ssWF8f0lLAMCCiRH8cqIGpZOEu5eloTeaKTjXSrlCyuQRgTjJxYNGw1OivOwLIbWLDB93J5ZNjeZcTQdFVR3MGhPGxn7bdoEA1ixKprqxmw+3FiKTirh9SQol1R38dLgSrd6EVCxk+qgQwgNUPHp9JnklLRzMr+fuZWm29yUU8MDVI7BarUjEQtyUMn46XMnOYzkIBLZAxJVTo3FXyYkPc3dYpJ2/hiunRPHpj2dYMjmSMxVtBHoraenQsvdELS/dPZ7Gtj62ZVeSX9pCiJ8KqxWqG7s5UdTM5BGBXDE6lJ3HqgjwUuLlZnO+CvJRMiMrBA9Xm91zdkED2QUNiIRCpmQEcaKoiYZWDemx3iyZEsWenFrGJPvZRasfe+ewXZwPbNagT986hh6NkRc+z7Fbfy6dGkVmnA9b9zlmpy5m59Eqnrgpiyc/OuLwncWEuDExPRCdwURUkBtf7iiitVPHuFR/Zo0OpaNbT2unFpFQQHSwmv25teScbeLbvef48+os/D1t9s+P3TiSbdlVnC5vxcVJytSMILzdnHjrm1wy4we39hQKBRgsUFbTxalzrfh6OJEZ54NCLLRroAwzzL+CRSDgcEEjG3YU06s1IhIKGJ8awDUzYhAzsAJGIBRyoriF5vah3QvbOrX2xR/YFiLj0wLw97K1ZmbG+9LWpbNrqE3JCOKHg4M7c+mNFkpr2lg8KYqWDq3DJHrm6FC27i9zyEJarPDe5gIeuGYEZrMVrd7EqdIWZDIxE9MCKK4cKAw6JskPrPDN7lIa+ttcYkPdSJwZxw3zEtiwoxihUNA/6RbgJBNzqrSVOWPDef6z41gsVoJ8lCjkYhIjPLBYrBhNFrILGhyCZC4KCW3dOiakBQxXAA3zu6OhXYO78p9r/wJQ9VfTtvfo8Pccdnv5dyMSCWnr0qI1WBAKQC4WOrSKy8RCexu9QMCgVZTncVaIEYkEWKwMaBm6mJZOLQhsjleT0gPZn1dLQ6uGhlYNh/LreeGucbReRvepuV2LUnGhyjoq2I2vdxVzxagQrp4RQ7CPCitW8ktbyT5VT0SAKxt22MSYRUIB7d06vr/oXtHerWPu2DB+uKh1rEtjoKXTpiGUppJT0dCFm0rO6Yo2Wju1xIS4sWpmPJv3luIkExPsq2RJfCSeagUWi5Wjpxs53F/x4iQTo5CLeeHzHLtEA9gqmj754TSPXJvJc7ePxWS2YLVakUpE6PQmuxbPeaxWHBLIbkoZHq4K2rq0dPTo8VAruHdFGl0aA83tfUQGqtmdU8Nznx5DZzAjFQu5IiuEGVkh/GHlCPadrGVfbi1Gk4WMOF8WTgxHIhLxw8EKOnv17Mut5dHrR3KiqNneen0eXw8nPFzlrN9RTGSgGjeVnHB/NX/9MJvoYHcmpAXQ22fku/3lRAS4UtvcS2unFn8vZ4J8XNiT02GXYhj4dyRh1phQRsR6E+KrJCHcndPlA9cRy6dF06czojVIh1vAhhmG4QDQbwKVs9ShlPI8e3JquHFeAjfOS+D7g+W0dGjx83Bm3oRwNH1Gjp9p4k83jOSj7wqpbb7Qn3u6vI2HVmXw7EXllWBzdrpuTjw9GgPebgoSIzx49pPj9gXIsTON3L08ncKyVoqqOpiaGUxJdQdHTzdy6+JkvNROHC6od7A0NpgsCAUCdh2v5utdFwbo7UeqiA5Sc/81I7j3lb34ezlz9RWx3Pfafvs2VqtNVLVPZ+SLn89y+5Jkth+tZs/xajQ6EzHBbiyeHMnek7U0tffh4aogv6SFGVk2y8zKxm4Ky9pIjPBgQloAs8eEUVrTgUgo5Lo58TgrxLz/baFDViTIR8m88WFEBKjZuKeU2uZeZFIRE9MCeXz1KGQSEfMnRPDx1kLkMjEZcT60d9psoYurOujo0VNU2WEP/ni7KZg+MoS0GG/qWnqpbe6133B7tUY+/eEMIqGAxZMjCfB2YX9u3YCsTGSQmh1HK7l7WRpGkxmt3oS7Sk5jWx8fbCngujnxvL3RJqo4OsmP+FAPHnv3sH2hLJfWEh7gyv1Xp/PsJ8eRSoSs/ek0C8ZHEBmopq61l7njwpgzNgypRIjeYObvm/JJifamoq6L6CA1wotW3QKBrd3msfcO2zWoANb+dJZHr8skwk9pF2EcZphfg0gs5PCpBj787oKmg9liZe/JWhrb+njw6jSElzjP6UwW3JVywvxdgcGF1sP8Xanv1yhQOUu5/6p09p6s4f7X9mMyWwgPcOWGuQnsPVnLkcIGPFzlQy46jhQ0sHhyJC+ty2HV7HiudJFR39pLsK8ST1cF97+2b8A+DW0aunv17DhazalzF3S5tu4rY87YMJZPi+arXTYHM6WThCmZQTz7yTGHxVFRZQfHTjcyNTOY6aNC6NMZuevKVAxGM8U1nSRGeOKikPD87WMpKGvFw1XBK+tPOoxhf7w+k5fWnUBnMCOTijBbrBzKr2fuuDAs1uGs5zC/Lxra+ojwU/3T27s4SRGAg6D7MP8eLAIBOcUtrNtWREunFmeFhAUTwpkyIhDheVFmIdy2OInH388m/1wrGfG+g4r6CgW2FvRdJ+oI9VOSGO4xpPhvRIArUomI9BhvujUGB6vwXq2RHUeriQxyHSD+7ayQIJeKiA1VU1pjm3P5eTojlQjxcXfGRSHlXG0nFisEebuQHu3FoonhbD96oY3fii0ZdjGf/HCGeePCeWrNaBpaNchlYqKD1Gj1Zlq7tOScbcLXwxmN1sjBvHqqm3rYcbSaMUl+rJoVR3aBbTz+/Ociapp6kElETEgL4NHrR/LiuhNkJfkhQOAQ/AFbMOe+q9I5U9HOG1/lotGZ8HJTcPUVMXiqFYhEAtRKGdNHBhPip8JNJWNMsj/najpZOSsWncFMQ6vN5VIhExPsq+KDLaeIDFIzNTOYb/eeY8dF791gsvDDwQo6uvUEeDnj5ebEI9eOpKK+k1Pn2ujq0aMzGHn6tjFs3F3Cwfx6vtxRxBM3ZbFpTyknS5qRiGyJmPGpAby2IRcnmS1h8eRHR/jzjaN48JoMtmVX8tXOEmQSIY/flMXTnxyzJ2rO/63ce1U6GXE+5AyibToi1pueXgO7jlVT19LL/PERRAa6set4NRqtkaggNYsnR3Iov54rp0ZjHcpebphh/o8xHAD6DSAXC2kzmO1CdRfz8feniQ5W89gNo7BipavHwJc7imzVOqNDOXyq3iH4A7bSzq93lfDSPRMoKGuls9eAn4cTPu5O9GmN1Lf0EuTjwo4jVYxPCyDc3xVvNwVVjT00tfexZlEyYMVkttpV+9/ddIob5yew/Uilw7mkYiHJUZ48M4iuTklNJ7uOVfP46izK6jrt4oDnUTpJmDsujGc+OYbZYuWr3SUkh3txy6JkZBIRVY3dvL+lgLYuHbPGhOLqImXZtGi+2l3C4VMXJgGr5ydQ3dTDzqOO+jtXTo0iNdrLIQB0tLCRsan+PL/2uP05vcHMjqNVVDd2c+viJMpqbO4LBqOZz346y5VTokiO8mTP8WpmZIXwwOu2INbMrBASIzzZsq+ML3cW46VWMHN0KNNHBvPut6fs95ivdpagVso4mF/PqtlxOMslfLvvHIdPNRAT4kaglwtfbCtiT04tri5SAr1cWDolik9/PM01M+PsQtsAV4wK4amPjmC12gJ6V10Rg0QspKPHNuF95d4JnKvtRKM1EeKnorqxm6rGHtbvKMZZLmbiiCDC/FT88dpMDCYzj79/hL/enIWXUmq/XotAYP/cL8ZisfLC5zm88cAkpMPFBMP8C+iMFjbsLBn0taKqdrr6DLgpHDWxDCYzTR19eLk5oXaRDRDlBFg4KYLP+8eXmxcm8v6WAocAT3ldFy98fpxHrhtJcVU7zR1aAr1dBoy3YMtG+3u5kBDuybubTyGTivB0lXP70hR7sPxiUqK8mJQegKuzbFDnxB8PVfDwqgx7VeaUjGB+PFgxIDO+ZHIkFivc88peAG5ZlMSW/WXsz61z2O6WhUmE+KoctMzOj2FVjd3cvTyVl744yW2Lk/n+YDmFZW2MTw34p4V0hxnmt4DRZKa9S0dmjPc/vY9IKMDFSTLg3jXM/x9Cka1N6/0tF3QfNVoj67cXU9+sYdWsWPr0JqprenBTyXhqzRgaWjUonaVU1HXZgzNika0i5aYFSXy5o9g+j3vxrvF2+YGLOd+WZDZb+l2wegas3XccreLR60dytNDWRhYd7MbiSZHojWZ6tQbiQj0Qi4QoFVKWTYvio+8KWTwpkp1Hq5g8Iogte8v4elcJHio5s8eGkhHrw5Z9NnH+83IBl17b9wfL+fFQObGh7ty3Ih2Dycyznx5zCEIpnSTcd1U6H2wtpKFVQ1FVB7UtvXi7O/PspxfNP41mdh6rpryui0dWZVDd3INQMHCCtWRKFAfy6hycyVo6tLz+VR63LkrixvnxdPcaqazv5tu959BoTfzxugy6NQZeXn+Szp4L9021UsYj12Yyf0IEG3aWkB7rw+7jgydXDhfU8/jqLP764RGyEnyZPyGcQG8lQqGAqqYehAIRy6bFMDY5ALlMREunlrAAFdNGBmO2WDl2ppGnPz6GyWxh+shgMmJ9EIuEnK1sJzpYzaQRgYxO8kPlLGXz3nMOwR+wVZC98VUuT9yUNSAANHdsGKU1nUxMC6CxXcPkjCCe/+w4adHe3LwgEblUTE1TDx99V4jRZGHx5EhMZgvSYZ3Lfytvvvkmb731lv2xWq0mPDycW2+9lYkTJzpsO2XKFOrqbHMakUiEr68vmZmZ3Hvvvfj5+V32PJs3b+aPf/wj2dnZuLsPt7T//zIcAPoNYDZbaGzv4+YFiTz+fvaA1q2sBD8Ky1qRSUX4uCuYPyGCBQLwdXfmobcODHrMMxXtHC5ooK1Ty7xx4VTUd3GkoIHWLh1B3kqSIj2JCnbjx4MV7DpWTXiAK7NGh7L7eDXvf3uKpVOiyIz3ZdboMMpqOxifGoDKSYpI6CgalxjhyYmi5kGvAWDX8WompgeQEuXFRxdl/QGmZATz/cFye8XMwbx60qO9qWnq5vuDFegNZoRCAVdNjyEqWM0nP5whI87HIfjj4+6EXCoeEPwBW3vFQ6sycFZI7BVWCREerL3Ekew8RVUdaHRmcoqaWLetCG93BTNGhWIy22xK/TxdMBjNKGRibl6QiEgksItmg01zZO2PZ5iSEcS8ceF2N59erRGxSEhpTSd/+eAIdy1LJSvBj8WTIhEKBXT3Grh+bjxGo5noYDfMFiuuShkv3DkekUiA0WTL3Hi7OVFe14WlP/hz25Jk3vomj9bOC5PdyEBXrpkZxzubTqEzmJmRFcL8CeGU13dxxagQfs6u5EiBrQJi0cQIlk6J4ufsSm6YHYep331Db7SQVzr4d2owWahu6iHaXzWkltIwwwyFzmC2W7YORnVjDx4RHggEAsxWsFqtuLpIKa/r4tS5Mu69Ko0vdxTbAzduShkrZ8UR7u/KpPQg+nRGRELhoNU9Fit8u/ccV4wKYdfxam5ZmMRzFwWCzyOTiBAKYNrIIK7ICia7oAF/TxckIiE6g5n0WG9yzjajcpZyz/I06lt7ae/W0d6tIznSk7njwnnrmzyHReiRwgZGxPpwIK+OYB8X9uQ4jlfOCgmRgWr+1u9gGODlggAGBH/Atii6dCw9T3FVBy5OUt55eArfHyi3C8DvOFrFmkWJQ37uwwzzW6OpQ4sVcFfJftV+KiepQ3v2MP//6E0Wvtg20MRCIIAJ6QF88uMZDubX259XyMQ8cVMWvmo5z90+hs5eA3qjBZ3e1F992UtucYt9+5aOPp5cM4a/b8qnrNZWreOplnP1jFj2naxFKhGxeHIkO49VkZXoy9b9F2QR+nQmtmVX8ufVWew6VsW41ADe+DrXYR49JsmPuePCeW3DSVbOiie3tIXECE/+9tkFx9iWTi1rfzzLhLQAlk6O4uvdtkTF9wfKWb0gkbe+znMI2guFQuaND+dkSTO7jlUPqEDq6TPyzqZTrLgihje/zkMsEqBUSPn8p3yH7aRiIQsnRhIX5g5CAUHeSgSX9CgJBZAa5cXXuwZPnqzbVkSgt5JXN5zEWSFh8ogg3JQyztV28e3ecw7BH7Bp4L31TR7zxoWzZHIkXb16+zxcKBSQGedDsK+S3j4jhwvq6dMZEQoFFJS1cu2cOPJLW/Fxd8LVWQYCKCxrxd/bhbe+zuXWRSm8sbfMoRVZ6STh7uUZVDV08+ynxzFbLEwbGUywj4pujR6ZRIRGZxyyCsxkttLSoeWRazM4UtiIXCpiSmYwUrGQPp0Jo8lCZKAbCpkYtYuMk8XNA5zErp8bj1wqoqy2k4wYb/r6BjedGeZfQy6Xs3btWgCam5t59913ufXWW/niiy9IT0932HbGjBnceOONmEwmCgoKeOONNzhz5gybN29GIhnaFGeYfy/DAaDfAEajmeggVwRCAY9eP5LCslbOVLTjpVYwJSMIqUTIln3lNLZpCPRxYWJaIKU1nXioFMweE4pWZ6JLY+BEUbNd7FcmFeGlVuClltPYrsFdJSMj3pdD+fWcKGqisrGLSelBxIW5U7yvjPZuHSeLmvjTDaOYOTqUnj4DSicJ6bHebN1XRmObhtYuLQ9fm8GOo1V2cVS5VIRWN/SCrk9rxGqBioYuXBQSh8VfmL+KbRfZolut8PpXeTx6fSbP3eZPS6cWoVCAq4uMR/9+kGtnxztsDzA+NYDdOYM7bwEcyKsjK9GP3cdt26hdZINm8c+TX9JCY1uffUFXVNnBVdOj8fVwwmyx3cgeu2EkPX1G/r4pf9Bj7Mmp4S83ZfH9wXJ7H/bFGZ0NO4pZsziJjh49r6w/icls4fHVo9i6v4wvthc7fD7Xz02gor6bh1ZlsPGXUvr6P+tl06J5e2O+Q/AH4FxtFz8cLGdGlk2rZPuRKqKD3ZiRFepgkdrereOFdSeYMzaMrARftEYLvX1GJGIhEokId5V8yCzq5RbwwwxzOaQSEUKhYMjgoadagckKZyvb+Tm7EqPJwqQRgVwxKoSjhY289mUus8aEsnRKFCazBb3BzP7cWiQiIanRnpytbB8w8buYoqp25o8Pp61Lh7ebglsXJ/HZT2ftiwUvNwU3zU9k455SlkyO4sV1OUQFuTEq0Yfmdi0+7k7MGx/B2Yp27lqWirlfFPr42SasFhiZ4IvFYuXuZak88cER+3l7tUaWT4tGqzfh3e/w0tN34Xc0KsGXA3kXgj3j0wKGzMi6KeWXHcNKqzsRCmB8SoBd56hneLI7zO+M86YJ7spfFwBSOtl0r4b596HRmQZU53i7KfjDyhHknG12CP6AzcH2z+8d5q0HJiEQCPhwSyFF1ReqLRMjPHjxrvG0dGopKGulT2+isr6Lscn+LJ8Wg8ViRaMz8uOhCspqu5CKhcyfEE6YvyvhAWoKyloZk+RPqL8Ko8mCyllKe5eOq66I5f7X9jlIHwAcLmjA38uZ2WPCcVPKCPFV8uWOgQEtsAXdn7ltDJt+KcVssXKmoh2Vs4zHb8oi50wT1U09BPkoyYz3YdOecyyYGO5gPiAUCkiN8sJTLae5w6ZNJxRAa6cWJ7nYoWJfLBLy4MoMth+ptAecAB65NgNvNwXt3XpGxHoTF+pGW9fQOke9WiM9WgNtXTraumwGL2nRXiyfHjOgQ+A8tc29uLvK6dYY8HS1aWNGBalZOSuOIwUNnCxqRq2UcdOCRHw9nLFYrMyfEEFnj57si8SpASICXblxbgLLpsaQW9LMI9dl8veN+fbK9DuvTOWzn85S09SDWCRgzaJkLFYrb36dh95oZmSCL+NS/PFwVQwIpJ2npVNLYVkbzgoJPX0GWjr6eG1DLhaLlYUTI5g9JpQvdxTx11tG88r6k3YNIolYyIIJ4cgkInr6jJTXd5OV4DvkZznMv4ZQKCQ1NdX+OCUlhYkTJ7Jly5YBASBPT0/7thkZGej1el599VUKCwtJS0v7D1416HQ65PL/m9XRwwGg3wBCoQCrCaxYqWroJi7MHaFAwIS0AIqqOnj9q1x72auriwyhQICTXIzZYsFJLqGmqRcvNwWPXp/JvpO1OCskpMV4c+x0I+3dOrISfVH5qHj8vcP2G2NZXRfHTjexfFo0k9ID0epNTEwPxGKx4qyQUNXYjdli5dUvT9rPXVbXxd4TNdy9PI22Lh2lNZ2cq+1k+fQY9g2SqQZIjvKiqrEbVxdZv1X8BaG6Pr0JlbOU8ABXJqYH9osGClA6SflyZxGT0oNwVcgoqmy3iePJxXRd0v7hrJDQ1TP04qarV4+XWuHwnM36cnA9DJWzFO0lE52vd5fy+gOT2HGkCme5mC37ylg4MXJAVuViGtv7cHWR0dmjZ3SyH7kXLUpbOrUoZGIMBkt/hZKYHw6Uk3PWceFa29zLmbI2lk6Jokdj4NpZ8VitVrbuL8dZLqGlY/Ab5cniZmaNsQWAJGIhhWWtTEwPRNV/PRfj4SpHJrOVyRr7F9R5Jc3cd1U6NU09eLjaRAq7NXp+PFRBVWMPkQGuw9U/w/xLyPstywerbFE5S/F2c+K1r/IoLG+zP19a04mfpzN3LU/lqY+O8uWOYof9Vs6KRSoRcKKombOV7cSEDF0a7KKQIBDA7UuTKSxvI6+kmadvHYNOb8JgsqDRGqlv7WXBhAj69CYy43yZNSaU7IJGapt6mJIZzCffn+avt4wBrLz3bYHD5L+4uoNgHyV3LUslOdLTrgc0OskPFycJwb4uuCllLJoYwetf5dn3c5ZLHErfnQcZ685jxYpYJCTMX4VaKaOxrc/BoUUqEfLDgQqunBpFRKArZbVdjE0JQHhpWnmYYX7DNLT3IZeKUPxK32alk5TKy7hPDfPrkUocxw6xSMgdV6bS3KHlp8MVOMnFxPaPu2cr29HqbVUZHb161v54xiH4A1BY1sYHWwtZNi2K5EhP3JRyOnv1fL6tiM4ePX6ezgR6u9hbag0mCyKhgAlpgew+Xs19K9J585t81vVXJUnFQm5ZlMSZirYBwZ/z/Jxdxf1XpdPYpiHEVzXAafFi6ls03H91Oj8eqqBXa7Tp5kjFpEZ7YbFaaWzT8ORHR7FYrMwZG2bfLy3GiwXjIzhd0YZIKCA8wBUvtYLUKC9OlrRgNFmQioU4KSTMGh1Keow3Pxyq4ERRM3Gh7szICkEmFSGViPjLzaNp7dRyML+eQB8leoOjXbuLQkJMiBsWi5Uzle2IL3HKyy1pYemUqMt+ryazBbPZgouTmNljw8iI9ebZT485nOtEUTMrpkfz/B3jcHWR8vH3px2CPwBltV18/P1p7l6ehrurHL3BxF3LUpGIhbg6yyi9yAnzhrkJHClscOgcKK3pZFt2Jfddlc4T72cP6vYZE+LGlr3n0PZ3BswZG4bRZEEoFFBU1UFqtBcPrsygs0fPw6sy0OpNGIwWhCIB27Mr2bq/nOfvGIdSIcH6v1APz6ztxazpwqLXIJQ7I3JyRaRw+a9dj4+PD+7u7tTX1//DbePi4gBoaGj4lwJA7e3tTJgwgccff5xly5Y5vHbllVfi7+/P66+/bm8h27BhA2+88Qa5ubksXryYxx9/nI8//pgff/yRyspKpFIpycnJPPLII4SFhTkcLzc3l1dffZVTp04hEomYNGkSjz76KB4eHr/6uv/bDAeAfgNIJCKMWHj+sxyig9yIC3MnIdwDs8XKpl9K7QGYqCA1UzKCeGdzPmsWJfPkR0cdrMN3HK3ijqUpSMRCB02elCgv3tmUP+iN8ZvdJbx8z0QO5tfx5td5aPUmxCIBE9MDGZPkj0QkdNjPYoVPfzjDDfMSePXLk1isVqKD1IPaRErEQq6eEUN1YzfZBQ1MzQiitrnXXj10MK+Oe69K40RRs8O5J6UHMS0zhJe/OEFihCeealt0tqqhh9hQd4cbR2V9F7Gh7kNmxGNC3Cm7SAPodEUb41L82XuydsC2YpEQfy/nAccyW6yUVHWQGe+D2kVGUVUHItHlRXDkUhFGo5moIHW/baiV1GhvVC5SXBQSREIBRrOFw/k2HaBLM2gyqYgHrxnBwbw6HnrzAGaLLQC2cGIED64cQY9m6KCX1Qomk5V548JJifYkr6SF7IIGrp8Tj8ls4aPvTqPVm0iJ8iQ9xpu1P54hr7QFq9XWG37llCjyS1tIivDk8fezAVvL2TUzYmnv0eIkEw+L6A3zL2E1W1g1M5bGNg0l1Z3251XOUp5aM4aqxm6H4M95Glo1lNV2MiLGmxMXBVMz433w83CmuUOHWimnqKqDVbPi2LLv3KB/ojNHhxIR6IpIKGTjnlJOFLVwoqgFP09nRif5IZWIKKnq4LOfzvLqvROZkB7AH/9+CK3ehEgoYEyyP5UN3ZTWXLC+vZTqph5OnWthfKo/p87ZSuWVTlLe3VzArYuT7JV1UzOD7ZWJlQ3dxIa4cbr/vVc2dJMQ4cHeEwPHqfqWXp65bQy5JS00t/eRFOGJn6cza388Q2NbHwFeLnz03WlSY7wYlxJAn9ZEdJAak8U84FjDDPNbpbGtD3eV3O68+c+icpbS0aPDarX+6n2HGRyFRERCmDun+11axyb7se9kLSPjfVk8OQpfdyfySlsQANNHpdLQqukPzgg4W9lBSpQXk0cEIpeK0epN7D5eTX5pC4snRfCX/krJ2BA37r8qHYvFSkuXlo5uHTKJiFWz4imqbEcqtunLjErwHSAUbDBZkIhFlNd1Dvke+nRGPFzl7M+tQywSXf79ysQoZCJmZIUil4rw83TmXE0nOoOJpAhPkiJtDrY/H65EKBQgFQsJ8VMxfWQIrV1aAr2VFJS10tNnxNNVwYoZMSyYGIHOYGTx5EhiQ9z5cmcx4QGuHMirY8GECLzdFHz64xk6e2xVP1mJfvx9Uz5Wq03oWCAQ4KKQoDOYuWFuPK5KGadKWxAJhcybEI7FYh2gPycWCx2cwC5GJBQgFYtwU8l5ZX0uD14zgnc3nxoQaALYsLOE1GibCHdRZfuA1wHK67uQSoR8/P1pqht7UMjEPHJdJvtzaynuv9ernKWoXKSDyka0dek4UtjAqERfB5kHgPQYb8xmK39YlcHhggakYiHZBQ1MTA9kUnog+aUt7D1ZS1qMN1hh0y+l/aYwnew4WgXA1IwgzBYrGfE+mEz/u+avpu5WWn74O9qKC10JivBUvObchljl+V+5Jo1GQ1dXF4GBgf9w2/NBon9m28Fwd3dn+vTpbNq0ySEAVFpayqlTp7j77rsdtn/ggQdYvnw5a9asQaGwFQg0NjaycuVK/P396e3tZcOGDaxYsYLt27ejVqsBW/Bn1apVTJw4kVdffRWtVstrr73G7bffzldfffUvXft/k+EA0G8AgVDAofw6rp0dz8+HK3nwjQNYLFaigtRcOzuenw5VkFvSwvwJ4by/pYBFkyL5/OezDsEfsA38731bwEOrMhye9+kXzxsMi9XWnrX3ZK39eCazld3Ha2jt1HHltGiH3m+FTIxEIsTPw4mbFiSSEObB+1sKuHFeAkcLG9iXW4feYCIlyov5EyIwmSy8tiEPgN3Hq1k2LZolk6OoaeohwMuZnKJmNv9yoSrIZLay63g1rV1arpwaze6cartV+Z4TNTxwdTp5JS32G9rhggYeu3EUh/LrBgS4nBUSpmYEUV7XRXigimtnxtOnM+Dn6UJFfZfDZyIWCbjzyhSH3vKLEYuEfLClgPuuspUyVjZ0ExWkHnQBKJeKCPR24e7labR2anns3cPMHhOKVCIiMlDN2h/OUFzdgVAAI2J9yIjzHiAIu2J6DFv3l9k1PMDW675+ezHXzIwhLXpoYUyZRIS7SoZEIuTpjy8EArcfqSIqSM0fVo7gnU35rJoVx3NrjztMpDp79HywtZA7r0zBYDRz97JU3tl8iqb2Pl7dcJIX7hqPCPjfdfsc5j+JGCsPXTOCzl4D1c09eKjk+Ho4IZeI+OynqiH3++VELY9el8mE9AA6evQE+ygprenklfW2QPTf7hyP1WrFaDKzen4iH39X6PC7SozwYEpGEFv2llNQ3sqs0aH21xpaNQ7jUIivEo3OyHvfFtjHxfOVCJGBajLivO3j2mAczK9n1aw4pmYGMT41gDe+ykOjM9LaqeOvHx7BYrUyf3wET9yURU1TD1KJiJQoT7YfqaJXa6S5o4/rZsdz7HQjAV4u/ZVJGqKC1AR4ufDYu4cxXjTeqZyl3H91Olqdya49djCvnpWz4ogKcqWjR4en2//NMudhfp/YLOB/XfsXgFIhwWS20qM1onKS/g9c2f89hFi588pUHv8gm5YOLWkx3rz3bQEzskLYe7KGtT9e0FXcdqSKcSn+vHT3eHR6M3csTaGlU8vH35+mW2NA7SJjztgwRif5odVfCDYUVXXw7uZ8Hr1hFN19BkwmC15qJxQyEWoXGXUtvXi7OVHT3DtAKBhsVUAhvkM7xs0dF87ek7Vs2VeGQIBDhebFSMRCVM5Se/ILbNU2T986hu8PlrPv5BlMZgvBvkqunhlLc5uGOePCCA9wRSIWsvNoNcUXVTz9eKiC+ePDGZPsx2PvHua1+ybyx78foqfPiNlsJcjbhYgAV3vwB2DWmFD+9lmOPZgjEAjYuKeEu5alojea2X28hvzSCxpKP2dXMjUziBvnJbB1fxnt3XosFitNbX3MHhvG9wcGzmunjQymsrEbsVBAXUsvzR19Dtd9KTVNPSCwsmZRMnqjmU++P+0gB5AS5cW+3Dqq++fVk0cE8tOhCtxUcsRiWyA2McKDnDMDnbzOsz+3jr/cnEVLh9Ymc+EqZ+7YMPw8nXlu7XFMZgs3zU/E18OJvSdriQlx48l+UxSA3cdr8PN0Zs2iJJ795Bh3L08jv7QFJ7mY5dOjqWrsRuWsQvu/SMbArO0dEPwB0Jbn0fLjO3gvvO8/VglkMtnmSs3Nzbz44os4Oztz7bXXDtjOarViMpkwmUwUFhby3nvvMXHiRJKTk//lcy9btozrr7+esrIyIiIiANi0aRN+fn6MHTvWYdsVK1Zwyy23ODz36KOP2v9vNpsZO3Yso0ePZvv27SxfvhyAl19+mcTERN566y17ciE6Opq5c+eyb9++AYLXv3WGA0C/ATR6M0E+Kt78OtdB06W0ppPn1x7nsRtHUVLdgVQsoltjIMDLZYBF5HmMJgvdGpt+z8UaE5dDpzczWKIsv7SFBRPCEQrAx92Zq66IQSgU0N6tw2K1ReWb2jUUlLVxpqKdkQm+3LYkGYlISElNB6+sP8H1cxNwdZGi0Zr6xZQbCfVTYbVasQLfDRFwySuxnfvLHX24KeW4q+S0d+v44WAFD63K4OtdJZTVdWE2W8gtauKZ28fy0XeFFFV29N/cvVg2LYrK+i6umRmLTm+iurEHb3cnSmo6WTQpEolYSG1zL1KJiNQoT348VOFwUz2PTCpCLhNT3dSLFfD3dObHQxXcuyKNV9afpPuiahyRUMD9V4/g2OlGtuwrswelvj9Qzsv3TuC+V/fbP2tLv3bIrDGhDlkakVBAkI+Lw6TqYjbtOcfION8hJzCzxoSiN5odFrTnKa3ppLiqg9ULEhGJhIxN8WfL3nMDAlCbfjnHzQsSqW7q4f6r0vnb57bJyBc/F3H3lSnDFUDD/MtYrbYFhbuzBM8ID9tY0C/4fPkdbQHiT384g1Qioq1Li6nfyWP6yGAMRjM3zE2gvVtPWW0nT982lsr6Ltq7dUQEqunRGNh1rIrUGC/2nKjBTSknNcqL5ChP5DIxjW0aFFIxaqWMsH5tierGHmKi00PcAAEAAElEQVSC3Vg8OZI+nQmdwcS9V6UNmiW99D2qlTIMRgtPf3wUk9nKtJHBbD9SZf+db91fxvcHyvByc8JosuDqIuHxm7LYsLOYq6dHYzJbePKW0VQ19uCmlOGpVmDsd+4zXhLs7tYY+OynsyycEEFeScv5jwuVk4S6Fh0H8xuIDEz9l76vYYb5T2O1Wmlq1xIc8+sXLkonm4hoZ49+OAD0b8JqBYVYwLO3jqGuVYNcIsLbTUFt04WK7os5mF9PSpRXf5Ksw8FevLNXzxfbi5g3LpyYEDf783KpiFsWJfO3z3IcqsllEhH3rkhj/Y5iXJ2lJITbWi0kYiFms8U+d6lp7iE8QI23m2LQ9q7J6YE8/PZBwJYMe3DlCGqbex0Ew4UCuGtZKt/uc5w73bQgkVfWn6T6ouuqbuzh7xvzeWrNGMQiIRaLhcMFDYMGUb47UM6YZH9iQtzILmy0z83VSin3rkjjXG0XS6dE4efpTG5xE509eocxvqG1F4vFSnZBA/Fh7oPOU3cfr+GJm7JYNiUaL3cnCsta8fFwQiQSoJBF8/PhCnr6jCidJMwaE0Z8mDsGo4WX1uUMONZg6AwmNFojG3aeIsRXyYPXjOC5tcfR95uHjEzwZfMvpfbtkyO9eGFdDh6ucpZPi3YQ/R4Kq9VKbVMviydFEuijpLfPQGVDN0azhXtWpLJhRwkfflfIC3eNZ+mUKPbk1OCicFzrNLRq2JNTw/i0QDbvPceDK0fQ2KrBaDLjrXait8+Al1L6v8YFzKzpGhD8OY+2PA+zpus/EgDq6+sjISHB/lgkEvH3v/+d8PDwAduuX7+e9evX2x+Hhobyyiuv/H+dPysri6CgIDZu3MjDDz+MyWTiu+++Y/ny5QiFju2RkyZNGrB/Xl4er7/+OmfOnKGzs9P+fGVlJQBarZaTJ0/y0EMPYb7ICCk0NBQ/Pz8KCgqGA0DD/HpE/RH4SwV9wdZ+9MPBcqZkBGPpXyD9I/0Vo8mC6KJ+4OaOPoJ9lfbI/MUIBeDr4TToucFWlhnmr2LV7Hje+CrP4WYZEeDKfVelo5DZynqzCxrILrhQuhnko7TpYVyZitZgwkUhRSET886mfBZMjKCzx2C/eYAtwz4xPYCRcb44ycVoDWb+vDqLzh4991+dzoadxZwsbqamuYeFEyK4fWkKCOCXnBpe/fIkE1ID+tutbNmk9duLuGFuAk9/fMzBOjo62I0V06N5+5t8bpiXQENbL3/7PIfV8xM5kF/vsLgTCODGeQn8dNgmptrRrWfx5Eh0ejMfbinkrmWp1Lf0Ul7fja+HExmxPnx/oIy0GB+HiiSbvoiJR6/PpFdrxFkuoaFNwze7SzhS2MCUjCB2HrNNkpTO0iG/D7A5KWm0RhZOjEDlIiX7VANmixW5VMTsMWEkRnhw6JIS2ovZfqSKa2bG8vzafUxMD+S2JSm8vdHxBtLQqkHpZCvVFYuE9mBTaW0nRrMFyXBl/TD/BhzGMouV6SODh3QVzEryRaM12IUlzxMVpCYmxI3H3j3M1MwgZo0O5VxtJzq9id3HaxCLhPx0uNIu9BwR0MrNCxMxWyyMSfbjh4M2nYekSE+yRvmRf66F6sZeEsLdGZ3oy4S0QF7bkItWbyIqSM3VM2LwcVMwbWSwvWXrUiZnBPHetwUONvOB3i4DROwtVuzZ7M4eA9uyq1gwIRxnJymvb8il6KL9vdQK7lmRZnc0vJTyui4U8gu39MkjAtl2pIo5Y8MwnKgbrtob5ndDj9aIVm/CTfXrq9ZcFLYA0PkqwWH+PVgsVmRiISNifejq1rJkSiQ7jgxtwLE/t47oYDW7hhCz/zm7kvGp/vbHUzKD2ZZdOUBKQG80sy27kpvmJ5Jb0kxiuAdP3JRFr9aATCKmT2dk455Sdh2r5sb5Kh64ZgTrtxeR369T4+oiZdWsOLQGsz2o0qu1OXStWZRES4eWc7Wd+Hk4MSYlgE17ShyCFWqlDIlY6BD8AVtg6nzbVGlNJ6/eO3HQlt3z/JJTw6T0ILuV+cysEEprOvn0hzMXHLgEsGxazAA9nx8OVvCHVSM4XdbGT4crhzzH9iNVOCvE/H3zKSalB2A0WXhx3QlSo724aUESMokIpZMEFycJX+8q5Uhhg/3c1U09Q1a1A4T4qqhqtCWeqxp77A6/54N7bi4yh6CVQGD7m2np0GKxWEmL8eJ0eRur5ycOqRk6JtmfE0XNLJ0ayRtf5Tpci1op457laXy4tZCcM02U1XdiMVu5e3kaB/PqHI55+FQ9D1wzgt3Hq+no1vHB1kKevnUM7T06PNUKRCKhwyL+94xFP7QhhO31gdVy/xPI5XLWrVuH1WqlsrKSl19+mYcffpjvv/8eb2/HjoVZs2axevVq9Ho9+/fv57333uPxxx///woCCQQCrrzySj777DMeeOAB9u7dS3t7O4sXLx6wraenY1tcfX09N954I4mJifz1r3/F29sbiUTCmjVr0Ott883u7m7MZjPPPfcczz333IBjNjQMveb6rTIcAPoNoJCJOVMxeF8tQFFlO2OS/REJhf1K9ga83BSDigALBODr7uQg9vvDwQpWz0/kxXU5AzLHV8+MHaA/czEuThLmjY/g7W/yB1irltV18emPZ1g8KcLBvQpswaEVV8Tw3Nrj9v2EApgxOpSbFiTy1a4SFk6MsG8/bWQwWYm+OMklfLOrhNySCzfgYF8lf7x2JHcuTaGmuRcXhQSNzsju49VIxCK7082GnY4WmX+8LnNA8AegpLqDXceryUzw5eX1J3jrwcnEhbjT0qnlpbvGU1LdwcFT9Xi5KshK8uOXE7XklbT091+beOubfK4YFcyIOB+e+eQYwb5KJo8IJCbYnT+9ewiD0cLoZH8uxWiy8ORHR+2P06K9+Osto9lzvIbRSX6YLVZbK57OZM9iDoZAYMvuSyUiMuN8mJwehMpZikgkQCQSYjRZ0Oov48ymMyKT2Hrg952sJcRXOeDG76yQIJWIqGnqoUdjYOWsWE6da8VDJe93NLuwnBQIQCQWYbFYEQrANIQI4zDDXA6LxUqEvyvxYe4DxkMfdyeSIjwHjF9g0/VZv93Wprr7eA2H8ut58a4JfPBdAWV1XQO2L6vrItBbyVc7ix2CTftO1nKkoIG/3JzF+u1FHMyvY974cBrbNOgMtuDRiunRnChq5qfDlbxyzwS7yPLFBHq7EOKj5JMqx0xwt8aAu0pudze6GJFQgJebgtFJfvi4O7N+e5FD8AdAozPS0nH5ydx5cfuIAFcUMjHfHSjHxUliq+S87J7DDPPb4V91AAOboLpQAB1DiKgP8/+PxWwhJtidLfsGr+AG0OqNdPToh0xYmswW2i+ap6ZGefH8WlvL+ohYb6aNDEYmFuHl7sTxM428++0pJGIh7ko5YrGQv2+06Vq6q+TctiSZL3cUI5MI6dMZiQxUM3dcOGazFYPRjEwmwknuuNxpau/jubXHCfR2IdDbhTEp/rR29HEgz3E+fL7V+FKmjgxmx9HqC68JsLu0DkZPn4H4MHcqGrpQyMT2+ePFWKzw1a5iXrl3ooOeT6/WSG+fkdRob7YdGbpNuk9vxF1l+83sPVlHkI+K6GA38kpa7JWhQgH8eXUWh045vs+fD1dy9/JUnvv0uENiFmDeuPD+pMqF57MLGnhoVQY7jlaTFu1FoLcLoxJ87QGhioZuYkPdKKrs4P0thdy8IJEJqYFIJSLSYrwGVAS5q+TMGh3KruPVfLmjeMBn3tmj542vcrlhXgJFle0YjRZOnWslr7SFu5alUtei4Vy/3uf5ymA3pYw+nYmMOJ9+aQQ5XRo9bpeZX//eEMqc/8HrTv+Z6xAKSUpKAiA5OZmwsDCWLVvG22+/zV//+leHbd3d3e3bZmRk0NfXx+eff851111HSkrKv3wNixcv5o033mDv3r1s3LiRUaNGERQU9A/3O3DgAH19fbz11luoVLY2UpPJRFfXhbmdUqlEIBCwZs0apk2bNuAYbm5uA577rTM8J/wNYLVa8HAdOtOldJbiJBeTX9rCylmxlNV2cv2c+EHbthZNjByw+G9q7+OHg2W8dPcEpmUGE+qnIj3Gmz+vHkVcqDudPYNXm3ipFQR5u6Bylg5pzXiiqInMeN8B17LiihheWX/SIWhksdpuMmV1XXi6Kjhb0U56jBdp0V6E+7ty4mwzPx6scAj+gK3U9plPj9LUoWXfyVo6e/Q8/fExtmVXkhrthXCQz8FJLkYiFg4I/pznSGEjI2K9sVqht8+IVCrmXG0nH39/moa2Pq66IhaVi5RnPz1ut2e+emYsP/dn8HccrWbyiEAevjaD62bH09mj54kPsm2uAwIQXVJymBrtRV6JbbEpFgm5bXEy49MC+HJ7MQ2tGpra+5gzNpSnbhnDk2tGE+Krwn2I7GdGnA9HTjfy2LuH6dEY2H28mrYuHfe/tp+PvztNbVMPieFDC7+lRHlRUnNhcbn9SBWTMxwHybljw9h5zDbR6NbocZLbbphLp0QhvUgA2yoQ0KYxsvbnIl7fmM+BgkaMCBAO9qUMM8wQiMVCTIDWYOKe5WncuyKNmGA3WyB5ejQ3L0xkw85ifD2cCfJRIhYJmJoZzB+vyyQ6SM1jN47ir7eM5k83jOSKUSE0d/RRMEh7JNgC7n0646CVRnqjmS93FBMd7Mapc60888kxyuu6uXJKNFFBahra+vjhYAXebgo0OhMPXD2C1fMSiApSExHoyqpZsdyyMIma5oHVlvtza5k1JmzA8xlxPvz5xlGcOtfK0cJGjCbLoBV8fToTaqV80HEfbK0vUrGI25cks3RKlL2q77v95bip5MMVQMP8bmhq70MAqF1+fQBIKBTgrJDQ0T0cAPqfxEkiYNRl7LSTo7z4R7MA8UVzCYvFisVqm2PEh3nw5td5CIQCnv74KJ/9dJay2i6KKjt4a2M+u45Vc/NC2wKyvVvHK+tPctP8RHzcnXh3cwGbfjnHs58e49t95zh0qp7v95cjEQlJjho4L6pt7qWivhu9wcLpinZSo7wcXl88KQKV88BWwrRoL46dvjBOn61oI/Uy2owzskLIPlVPRqwPIxN8B3XCBFvQJ7+khfnjLrTOyKQimtr72PRLKanRXoPuB5CV4EdUsJt9TrztSCVTLpnbWazQ0aMb4K7X3q2jV2PkiZuyuGJUCKF+KtKivfjzjaOYmhlEkI+SvScvVHOZLVa83Z145rYxpER70tGrZ1xKgD15ueNIFUunRNldd9/ZfIp1285ysqiZq66I5f6r04kLdSfMX8WK6dE8tGoELV1a2/y2YPBqio4ePUKhgKQIT7vNu9UK634ucnBjiwhwpbGtjznjwnBTylg6JYqcM42IRUI8lIpBj/17ReTsiiI8ddDXFOGpiJxd/7MX1E9SUhJz5sxh8+bNtLRcvv3vzjvvxMXFhXfffff/65xeXl5MmjSJDz/8kAMHDrBkyZJ/aj+dTodAIEAsvvCb+Pnnn+2aRgBOTk6kpqZSXl5OUlLSgH//qoD1f5PhANBvAK3BwsS0gCFfnz8+Ame5mHnjw4gNcUcmFSEQwPO3jyM9xhu1i4zIQDV3LE3BVSnFw1XBQytHEOpnswkenejHqlnxiIQC3FVyshJ9WTY1ig+2FPL0x8eYPz6CMH9H8Tx3lZz7r0nnnc0FGIxDl0parWA0W3jshlGMiPUmKlDN0imR9GgMA0Sqz7NlXxmTMwLp7NVz1RWxzJ8QwWc/nSE91pvswsEH/trmXvQGM4smRtpdgixWm/PZbUtszmcXMzUz2EGb51IsFitms5WEMHe6NAYeefsgPx6qJLekhY17SnnsnUPEhnoQHaQmMcKDh6/NoLK+20GUOa+0hc9+PMtTHx9l6/5ye3XCiDgfTp27MOCF+qlYODHCHjxasyiJI4UNvPFVHkdPN3L8bBOvbcjlvW8L6ezV8ebXeYiEAh67YSRul2RAIwJcuWZGLEaT7Tv5coetkkrpbMt65pe2IBAIUCtlhPgOLH+XiIXMGRfGnpwLN/K2Lq2DVsLIBB9GJfjy4yFbZVVsqDuVDd3MGRtKfKgb5v4qA6tAwIFT9Tz4xgF259SQW9zCB1sLefitg/QZLUMuVIcZ5mKsAgHFtV08+u5h7n5lH2ue301eSTP3XZXGQ6syyIzzwU0p48GrR+AkEfLItRn88fqRWCxWqhq7OXamicffO8wT72fz7KfHqG/V4OfpjFw6eIFreIDroNpZ5zl1rpWooAvZnF9O1BAdomb+hHC27itDIRNz+5IUXlyXwxPvZ+PppuCOpSmsnpfAkcJGHn8/m1A/FeNSHKsAezRGfD2cWDolyv7biAl2Y0JqAE99fJTv9peTW9JCn940ZNb8+JlGB/Hqi1k5Mw4fDyfkUhFf7y6xt7z1ao1YrdZBA+XDDPNbpLG9D5WzdMB9/Z9FqZAMVwD9D2M0WpiUFoCry8DgiKuLlIxYH7r7DPi4D16BEOyjpLH1QkWjzmAiPsyd6GA3lE4SHr42E5nUZpwhumTwKixvQygU2B1itXoTdS29NLT20dTeR2q0F4+vziIl0gsnuZjMeB+MZjOLJ0UOmBd5uNoqiLo1enYdq2ZJf9ACbJVIZys7CPN3HTB+ms1WB+3Ez346y4KJEfbq6osJ8HJB7SJjf149v5yoZWpGEG1dQ9vQbz9SxcgEX/6wcgSRgWqEAgHBvkqOFDYwNtl/QDUT2BK2Xm4KcoubuWamzVa7rUs3aPDKw1UxYH42NTOIHq2BP793mN4+AxPSAlg1O443v8njD28eQCoRIbvonuqlVqA3mNl1rBo/D2fyilt4f0sBf1iZwfSRwQAcOdXA3+4Yx4S0ANRKGc4KCaF+qn6jFGduWpDItbPjmDQiiI17Snn9y1yc5JIBmpQXo+kzYjRbHOb37d06+2ciFMD1c+NRSEV4uip44oMjfLmjmLAAV7o1BnQG0wBNmN8zIoULXnNuGxAEOu8C9t+0gr/99tsxm82sXbv2stup1WpWrlzJL7/8QllZ2T887i+//MK2bdsc/p3fb9myZeTm5uLk5MSMGTP+qevMysoC4I9//CPZ2dl89tlnvPLKK/ZqoPM89NBD7N27l3vvvZedO3dy9OhRtm7dysMPP8zRo0cHO/RvmuEWsN8AZpMFuVTEzQsS+fC7Qgd93emjgshK9EWrN2EyWSmr62TvyVriwzx4cV0Oo5P9GZngS1evns2/nKOhTUOAlwvXzY7j7mWpdPbqMZutPP5+NkpnCU/cNJqDeXXojWb6dLY++5e+OMHKWXH4uDvR1qXFRSHBaLaQc6aJlTNjHXQlLkUmEaGQiTGZLNwwL4GuHj29WiNFVUO3tHX26HFXysmI86GgvJnYYE90BrPthnqZkb+zR8eB3Fp8PC6UPGYXNKDTm3hoVQadPXq0ehPJkZ60dPahVg5dVeUkF2O2WLhmVhzPfHx0wHkNJgsfbCnggWvSyS5o5L3NBQOqidQusgGVLgFeLqyen0hdSy+hfir8PV1wdZHyyNsH6dOZ7JOhS6ucwNaa1tTeh0wqwmgys3nvOW6cn4DVCh3dOnw9nGnv1vHn9w7z1JoxTBkRRE+fkfzSVqRSIX9encWBvDpyi5uYOy6cmxYkcvhUA/tya9EZzKRGeTFvfDhf77qwOASICFDjqZZz15WpuKlkqJUynvn0mE2sVwDXzIzDXSlDKhIgsFoRiAQYzbYMUG2LBplE5FAy3Nmr59Mfz3DrwiSwDreD/V9FJBJiMNvE3gWATCwY0B4oFAqo79DyzKfHHZ7fe7KOk8UtvHjXuIvKtW1BW4VExPbsSrr7DIT5q/j4+9P2/axWyDnbhLebgumjggcVmTeZLSiGCA6BrR3rYkHqjDgfXJ1luLnIaenUMmdsGN8fLLe32f7tsxxSojwJ8HKxl61v2FHMlVOjmZIRRG1zL05yMa4uMj778SzLpkWREuVJdWMP8eEePP7eYQebXrPZipNc7PAbPc/P2ZW8/YfJeLs78dOhClo6tQT7KFk4MZLKhi5+7tfKuFjgMsDLBQECu4bcMMP81mls7xuQ/Pg1uCgkA7TChvn3IxcLeP72cXyzu5QD+baKlnEp/swdF05hWStRwW48tCqDv354xGHBrlbKuGdFGgCr5ycgk4jwdXfi1kXJFFd3sHFPKc0dWmRSEZPSA3loVQYvf3HCQVfx2OlGUqK82N2vMVTV2E2In4rYUDemZQbzzCdH7a1AAGsWJnEgv47ZY8JwdZHR3NGHu0qO2WLl85/OsGhyFJ29egrLWnnyltF8s7uESSMCeXdzAVWN3axZnMx73xbY54oWq9Wufwk2bcaPthbypxtG8v3Bck4UNSOTiJiYFsCoRD9qW3qRiIUcyKvD39OZ+DCPIaUfooJsjmKHTtUzNsWfhDD3fuMVHz7+/jR/vnEU3x8s59jpRkRCm5nHhLQA3vw6j7YuHQ+t8sNZLsbfy4W65l6HY7soJHi6ynl6zRga2zUYjBbCA1wpreng3c0FCIUCJGIhEYFqXvg8x36fe+ubPB69LpPy+m4O5NUxY1QIG3YUk1fagp+nEzEhbkQFq6ls6MJFIeahVRkYTWZyihoZl+LPiukxmC0WBAj45IfT9grc5EhPrp4Rw3Vz4qlv1iCTCB0+10sJC3DlyQ+zBzwvEAgYlejLsqnRaPUmgn1VdjfcA3l1XDEqmF3Hq1k+LRqL5X/XvFSs8sR74X2YNV1Y9H0IZU6InF3/q8EfgPDwcGbPns2XX37JmjVrUCqH1mS74YYbWLduHR988AHPP//8ZY97sWPXee655x5uv/12xo0bh0KhYM6cOchk/9w9JCYmhueee4633nqLNWvWEBcXx+uvv869997rsF16ejrr16/nzTff5I9//CNGoxFfX1+ysrIICQn5p871W2I4APQbwIIVoUhIQ5uGZ24dS1O7BlcXGX6eTlitArbsK2P38Wr69CaSIjz50w0jae/S09qlG9Tesa6lFwQCHnrrII/dOBIQoDeYMJstlFS1MzLeh8qGbm6cl4BcKmbjnlLe3XwKmUREsK+S8akBjEzwpbiygyc/OsrSKVGkRHqSP0jWfMGECBpbNZgttpuh3mjGZLYQ7q8e8v16uymwAmF+KrzUCvr6B3qhUGAvFx0MN5Wc42eb+MNKR5v73JIWcktaULvIWDIlEqFQwI4j1aREexET7DaoK8O8ceGYTBbMZguaQRZaYCtD12hNfLt3oJuWUCggItCVh6/NoKy2i7qWHoJ8VIiEAnLONJEU6YFCKkKrM+LqIrUv5kbEeg/ovb6YA3l1jEr0w2C2cDC/noP59TjJxbgoJHT26O0ToNPlbRwpbGDJlCg2/VKKrl+4+vq58SRHelJU2YGzXMyE1ADSYrzw83DmYH49L39xwsG6E2DhpAhMZgvFVe1kJfnyza4S2jp1hPqpuGVhIn7uCqxmCyIh9Bnhq53FHOzvk89K8uVPN4zknc2naGi9IEaXc7YJ/dwEZP97Ei3D/AosAgElNZ2s21ZEbXMvPu5OrJgeTXK4B4KLAhFmK3z+89lBj9GtMVDw/9g778C26rvrf672sLz33tuOR5w4e+8EAiSBBBIIq1A2ZXZCSykt0NJCS1v23iNkQMjejp04dmI78d57W9Ze7x9ylAjbtLQ8z5O+9fnPsnR1daX7G+d7vufU9pKXGOBSnQHozVYKKzq5a10W73x1bszXflXQyB/vn8vp6h6XVPw8pmeEkBHnzzs7x37ttIwQTo20a+alOOX6f/v8DJtXphLqryYjzp/fveVOWHX26ZmaHuL6u7p5AB9PBT/96xEUcglmi43BYecGqLF9kCfvmMmJc53EGL1GpTVuP1zHmvkJvLlj9HVJiPDBbLFzpLSNK+cl4OUho6NXz4d7qlz3n0ohcWtBu2pePOca+5idNdqXbAITuBTR0acneBzlyD8DD5WMjjGiwifw/cJmcyAXwcalSVyzOJGBYRM7Cxp59M+HXWuVy2fH8tgt+VQ3D9DRqyfUX42HUsqz7xbzg9UZFJ/ror59iCBfFUvzo90CKUxmGzsLGmntGubapcm8ts09GXVyShD7T7ZgsztcdgZXL0zkd2+ddCN/AD7ZX809V2fz2zdPjKQuytDqLVhtdu5bn+Na54UHefD8h6eYmh5CiJ8ancFCQVkHdgf87Map1LUOMmyw4KORs25BIg0dQyRF+WC12ikoa+elLWe495oc5uVGYLXaOVbWzhOvHic6xJPZ2WHUtg5S3dzPpuWpbDtc51q7nYdYJHDlvAQ6+/ScquymrLYXjSoFD6WU+ZPDKa/vo6NXR5CPivvW52B3OCiq6OSJVwtda+eiik4y4gOYnR3GaxcVSKQSEY9cn4fBZOVvn51haX40SdHeWG0OEiJ8+P29c2jsGKL4XBe/fvW4G+HW3W+gZ8DIkM7E+sVJtPfomJsbzvUrUmnu0vLyljK6BwxEBWu4dmky1c39vPLFhfcWCXDjZemYzFZWzYxlWG+hsqmf0zU91LQM8Ow9szlY2orFamfFjBg+3nshUew8UqJ9OdfQx7DBfc0eGaQh2E/FyhkxvLyljHONfWhUMpbkR/H7e+bwo+cOsOt4I7Hh3ojFwv83CWAXQ6z0+D8jfO666y7uuuuuMf/3zDPPuP29d+/eMZ/n7e3NyZMnv/V9rrzyyjFNnS9GYWEhBoOBNWvWfKfXr169mtWrV//Dc83IyODvf//7t57DfwomCKBLAFKxmPLabtp7dIhFTnPfg6dauWx2LH/+uNTNZPR0TQ+/fPk492/I+dZjOhwOrDY7uwubuGJuPD++YQr+3kpe3Vru1v6gUkh4ZFMeLV3DfFXQQHXzAGvmJ/CrV447iSTgw91VPHBdLt4aOYdL21xkz4oZ0fh5KXhpSxm3X5XJL1857vL8efT6PLw8ZK5Nz8W4bFYcnX161EopheUdZMT5o5CJKShrZ15uuCsN62LEh3uPmLHaOFPbw4oZMa4WpfNQKyRkxgfw0POHMJptlNX18uB1uewuanJO4HYHaoWEK+fFk5kQwNcFjcz+ltY7cJoheyilo0iTjctS2HW8icRIHz7cU4VGJePr400M6cxEBmsIDVAjlYjQm2w4HPDH++fwxvazLpPm8WCx2pGIBISLuuf1RusoNYDVZqd7wMBXx5w93ueTIV7fVsFPNk/h9W3lmK121Eop916TTWe/npmTQimr7aF8pOrk761g88o0YkK9sNnsXL0oEYlIIHRFKhuXpSCTiJAITsNHAKPVwSN/Oez2nR4uaeNMTQ/3XZPD468UuNRrdles90TfyX8bRGKBY2WdvLSlzPVYZ5+eP35Qwtr58SzLj+K8xtvmgJpvmChfjNM1PeSnBGGz2RGJBMx26B5JyFMrpKOM6c/DbndQVNHBA9fmUtXcT3ldL2qFlPmTI5CIBQ6XtrF6bhyf73eXG/t6Klg0NYonX3eac66YEUP/sIkZmaF8fqCWNfMTnMf/xvqxo1ePn6cCT7WMIZ0ZjVqGVmfi/g3ORJrzyqAgXxW3XZnJ3sImtDoLYynRC8o7mJkVxvXLU/h4bzU6oxWRSGB6ZgjXLUnmXGM/1c0D46a1DBstrhj6jctSaO/V0dShZVrG+H4dE5jApQK7w0H3gIGUiyLCvys0SilnJxRA/3uw2xkcNvPQ84dH/WvLwTqCfNUUlLVjNNs4UNziGrdbu7Usmx7NsMGCn5eC5947Nebhy+p6uXxOHDKJyEVKTEkLpqiik3vXO5OhpBIRb2yv4NbVGW7qkeRoHzLjA7DbHWw7XM+TP5xBddMAZXW9BPkqSYry5dN9NVQ3DzAnO5zOPgPtvXo+P1BLQoQ3CpkYo9lGR6+OIZ2ZhAhvbHYHvl5ycpIDaOsZ5qPdVShkzhTb6RmhPP9RyajxubZ1kCvmxZMc5cPKmbH89dNSHrtlGn/77DT1bc4iRViAB9ctTebtr86yamYsj16fR0V9Lz4aBWqllM4+PdMyQvDykPHa1nI+OzB2u4zFZmP1nFg0KhlXzY+npnmAEH81U1KDKTrbSXigB2sXJLL9SB1+3gre2F5BU4eW+zfk8Mzb42/Cg/1U7Cpq4o3tF4oTcpmYO9ZMIizQg+4BA40dWp58vYibLksjPc7PZZtgd8ArX5Txsxun8pdPSnn0himcPNdJY7uWY2fa2XuiGZvVTmF5B5nx/qxdkMD2I/Xoz89/GSGsXZDII38+5HZOCpmYzavS6Bk08MQrx11z85DOzEd7qjnX0MemFamU1faQmxyEUibGOo66aAL/uejs7KSpqYmnn36anJwc0tPT/69P6ZLHBAF0CUApF1F0tpNrFiVxqqqLd3dW8oubpzI4bB6VMANOTwe5VIxYJLi1DpyHj0bumgDL63pJi/WjvK4XD6V0lPeF3mjlydcLefSGKSzMiyQm1JMhndlF/oDTGPW3b55gXm44j986DalEhNVqZ+vhOj7eW8Nd67L4y8fuKWFvbK/gvvU5vLa1nOZOLQunRDI1PQSZRIRcJsFTJeWpN0/Q0D5E/5CRR67P49iZdnKSArHZHRwobnF9tqwEfzYsTeHxlwsAp4fQ+kVJPHn7DL4qaGBY74xwTov14+O9F9QwBpOVp94oYn5eJI9synOapErFmC02+gaNrJ4bR++AEalkbFLGUy3DZrPz85vzKa/r4XRND76eSqZlBFNY3kFsmDfvfHWO9l4d7Tir7wkR3qxbmMifPixxSWdFgjOpaO2CBMrqepmcEjRufHReajDNXVomJThTFVq+Id89j8hgT7r69HT1G3h442S3aNCiik4mJQZQVNGJzmDhD+8V89gt0xgYNnHnuiyMJitWm8PlJXXn03u5cVU6eSmBaE02HA6H8xoqJIikYsCBWCJid1HzmITe4LCZ0poeJiUEuJImkqN8kEtEMNF28l8Hk9XB2+Mocz7dX8v8yZFuyjA/r7GTsQBCA9RO/xqxQOeAiafeLOKHa5wpEXaHY1T74cXw91by1pcV1LQMkpMUyKIpkXQNGCiv7UVnsuChkPLIpjyOnWlDq7cwNT0Yfy8lL3xUgslsIzrEE5FI4HBJKyfPdbF+cRIJkd70DRpJifblbIO7fP/tr87x2C35GIxWPD3kDGiNbDlQw4825GCy2NDqLfRrjRw93cbUNGdbr6daPuZnONfYR1qMHz9cMwmxSIRIJHCmppuyul6igj0RCaNJKIAAHyVeahlP3zWLtu5hQvzVPP9hCavnxCGTjPammMAELjX0D5mw2hz/dguYwWTFbLEhG8OTZQLfL8RiMdu/JZ58V2Eji/Oj+NunZwCndcBV8xPw9pDz9fEmpmeG4KmSfWvbXnOnFn9vJW09OtJj/bDbHew90Yyfl4Jf3jqdp94scqU+gbNF/461k6htHaSovAORSGDGJGea7qQEf7KTA+kbMvDhrio0Kim/+sE0lDIJD71wgWA4U9PDkvwoKur7WLcwkT9/XOq0MPCU8/Ob8/nJX45cpCA38f6uKpKjfccl51/4sIRf3jqNpk4tHb0GBodNzM4O55pFTluD3iEj7+x0qmaNJhurZsWQnxHCr18rdEv9nZUVyoMb8/jF34+OOQ/MmhTGtsP1rJoVi9liY2ZW2IgydJi3vzqHn5eCqxcmkhDhQ8+AgeuWpqCUi/HykI+7Hp6a5gwfKSzvcHvcZLbxpw9O8ZPNU13rP4CP9lRz6+oMN99Mh8Npr3DTZem8teMsvYMG4sK9+emNUzh2pp2YUE8Kyjt4eUsZeSlB3DEy/2nUUlq7hvlsfzUPXjeZ4+UddPXrSYn2ZXpmKNXNA3xxsBa7w6nOz0kKJMBbSc+AgeLKLlbNimVujtMMW2e0Ip+oS/5/hw8//JC//OUvpKSk8MQTT/xfn85/BCYIoEsAgiAiKdIbQXAOmhFBGrw9FOwsaBj3NV8XNrF+cdKojZYgwHXLUlzqGC8P54Q4LSOEP31YMuaxjGYbbd3DbD1cx4LJ4TR1jiYdrDY7uwqbOHq6jV/dNp2f/vUoFqsdsUjAQyml6xuR9G09Op7/sITLZ8cxJS2YLQdqefK1Qhepkxztw42XpdHTb8ABbD9Sj93uQKc3s3RaFIunRiIgoFJIsDsctHRqeezmqS7pZ6CPgiGdhRUzYhCLBcpre2lsH3IzXwbnZPPVsQa+OtZAXmoQGpXMZYB8y+XpDOnMbFiSzBvb3aXFALesTsdDKWXn8UYmJwfS3qNnWG/md2+ewGy18/CmQNp7dW6vuWZREk+/fcJN1mt3wI6jDfh6KpicEohMKmFPUdMocsffW0FuciBikYBWb+YHV2Twi5cKRvkTLZ4ayanKLufE73CM8vYY0pldqV3gJPm6+/WE+Kn55cvHXefsoXKqg569dw4DQ0YsNgfHzrTz7tfnXP4/M7PC2LQsBbvVwfEy94n/Ypyu7iY3OYiSqm4kYhG3XJ6OeJxN6gT+/4ZWbxm3f99md9A3ZCRkxLxTIRFYMy+BFy6S/Z+HSCQwKzMMi8WG2QE/f+kYJrON/iEjIf5qjp5pY05OOF8fHx2Lq5RLiArW8Pt3OwFIi/WjunmAj/ZW096j45bLnYkx+4pbuHpRIruON3KmppuVM+OYmxPOyXNdZCcEIAhw8lwXqTG+RAR6cPez+5mbHc7mlWn85K9HXAtlsUjgmkWJfHGwjoggDYUVHUQHa9i4PJWOPj1PvVHkNiboDBY2LEnCZLJy7dJkNx8jT7WMtBg/fvvWiVGfSxDgidums3puHJ/uc6/+igSnEfRz759ixYwYuvoNlNf3IQiwYHLEBBc7gf8IdPY7yeB/hwBSK51L2wGdmUDv/79Sfy5F2BwOV8FrLAzpzOQkBPKn++dgttoZNlg4VNJKe88wPho5n+yt4foVqeMS2+BUZ4YFerByZixKuYQXP3HOGTsLGslPD8ZqtTM3JxwPlRRBgLvWZfHyljLXekcqETEtIwSb3c5XBc1UNfcT4qfm6kVJeKpklNf3Oj0aBQG5VMRDG3ORiESu1z32UoFrDF8+PYZP99WMaR8woDWhVkrRGUZHwhvNNurbhugbMhIT6smpyq5xY93L6nq57apMfvLikVGFt0MlbQT4qJiVFcaBb6SJJUb6MGywOFWuc+JJifbDYLayt6iZrwubsNsddPcb0KhkpET7suNoPf6pSgorOpHLxKxfnDSq/VgsEtiwJIWf/e3omOdqtTmoaR4gLsyL2lZn0XpIZ0Ysdmda5uWG09Q+xLtfV7oea+zQcvBUKz++IY/Kxgt2DUVnOyk665y/sxIDCPZVsb+4lcOlbeQkBxHgrSI5yhcBBzEhztTcAG8ly2fEUFjeQUv3MGH+Hvzsxqn0DhpIjfWjZ8CASCQQ4aca5Uc4gf9sfFsb2gTGxgQBdAlAwEFeajBd/XosVjsrZ8bwyb5qAnzG74E/XtbOqtumE+CjZMfRBrr69ESHeLJ8RgyHS9tcFYiFeZF8XdjI+sVJmMzjp3n1DRnxVMmob9PiPUaqw3moFFKsVodr46OQiUe1R51H76CRqqZ+BrQmVwLWeZxrcD5+uLSN4soLccwnz3URH+7FA9fluio5e0+0kBDpzbPvFtPRq2fT8hQa2gZd7RGCAJOTg7h2aTIquXRMlcr5c7/4GijkEk5VdbEwL5L7N+Tw1bEG2nt0RAZ7snx6NIUVnXy2r4arFyXR0WdwbTTjwr1Ymh9NkI+KhzZOpqCsnaOn2wjx96C5Szuqp/s8th+pJyrEE6VczL3XZFNY0cmB4hbsDgezs8NYmBeJxWKnsrmfT/dVExPqxbP3zOaDXZVUNvbj66Vg8dQozBabq7faz0sxqj0sNcaX3UXubXQ9Awa6Bwxui6G71mZxqKSNwyWt2OxONcWiqZHctS6L5z8swe6Ag6daEQkCG5elfKsZuFIhQSSCOdlhrJmfgIdc/K2G3hP4/xdS6bcbP8llFyryVqudrER/lkyNYudFRI5MIuKB63JRykSIBYEzlV2ue/ejPdXcuS6LFz8pZfPKNDr6dJyuvqBsTI7y4dYrMrDa7Ph5KtCbrEgkIvw8lbT36JidHUZksAZ/byVr5yegHTYjlYgpre5BLBZYNz+JjDg/Av3U7B8hi9fMT+D37xbjcMC+4hYQ4Om7ZvHJvmrK6/pYNDWSkspu9he38PObpvLRnipmZ4fRrzXy+YFatzHh0esno1I4TWr9vZXkJgcSFazhg91OH5+r5iWwq3DsTYHDAbuONzE1PZi71mWxs6CR7n49sWFeXL0wiS0Ha52RxhYb0zJCeOj5Q9x7dTaeHrIx1aITmMClhs5+AyIBvNT/ngIIYHDYNEEA/S9ALDj9eEq+EW6REefPgrwI/LwUIICXSord5kCtkFJR34eHUsqS/Chyk4MI8lGSnx7C0TEiwBUypz/lsCGAk+c6XQbC4CQaBnVmbr8qEwdQWN7JxmUpnG3oc6135FIxP71xCja7gwf+eNDVRna6uoddxxu5b30O3f16tHozz9w9C7lUxKGSdtp7hkmP90csCG5jeHiQhk/2jfaGBKeP49L8qFH/T4jwZvHUKBIjfRjSmThT24NaKR3zGABBvko6evXjrme/PNrAs/fMRiYVU1zZ5WpBiwjS8Mf3na10/Vojv36tcNRrBcHpqfne15XMyQnnN28UuebXK+fFu62Ho0M9uXFVOlqd+VuTdXuHjGi+kTh2Pk3tPGZnh/OrVwpGvdZqs/Patgounx1LcrQPRpPNzbsvJdrXtU+w2hwUlnegkIlZMDmCrn4jh0tbSY7yIT7ChydevWD+fbq6h6+PN/LoDXkM6014qmUMGyyjwlsmMIH/RkwQQJcAtHoLGpWUIZ3z6/D2kHP0TDs/3TxlTANigMX5UZRWd5MW68eGxUmIRAJFFZ386YNTLlPR6RkhyGVimjq06EZ6rHsHx/bMiAzW8OXRBlq6h3lkUx47j4/24QGYmxvOoM6Et4ecgWETepP1Wyt1MyeF8Yf3ikc9HujjjJC8mPw5j5qWQQrLO/DzUhLsp2JKahA/+/sx7HYHGXH+OBzw5kXGsQ6Hs1qgUohZOj2K17aOVvMA5KcH86cPSgDnJjQ21IudxxsxW+y8saOCebkR3HRZOgdPtfLnj0tdk93v3yvmvmucnktXzI0j2FfNh3uq6O43IJOImJMTzsOb8thZ0EjnOK0sAP1aE4E+SnCATCYiPy2YQB8lRpMNmVTkIsz0Rgs3rkqntnUQrc7E9StSqW0ZpL1nmMOlbTR3XjB43bgshS8vkl77eSmIDfPiKo8EZFIR9a1DfF3YSICPihA/FY9uyqOudQCVSsLOgka362+y2Nh2uJ6l+VHMy41wKaUOnmph2bQo5mSHu8l5L8Zls2KJG2mZcdjsOCY2m/+VsAsCJrNt3PZFb40cT5X7oldkd7BufjyrZsXS0D6IUi4hLMADuVjAYXcgkopo7Ljwm+8eMPDnj0q4YWUaAd4Kp9pMJMJssaGUO9Ozyut7GdabuW9DDmqFFJ3RglQiMC83nBmZIQiCwHPvnXIZxE9KCOBH1+bi76XgswO17C5qYvHUSEL8ndJ8kUhwI7qzEgOoaRkgNsSLmZmhBPqqeOBPh5CIBbw8ZDy8KY/q5n7aRgidIF81e4qauH99Dv1aM18crOfaZcm8t7OSI6fb8PKQc9nsWDLj/bFYbOw46u5vdjE6+nSca+inoKyduTnheHnI0Rks1LcPugzmQ/09kIgFfn7zVPYUNpMU7YtaMf5mYwITuFTQ2afHy0M+Kvr7u+A8ATQwzuZ5At8fRCIBvcVOXJiXa10IcPNl6RjMVl7bVs7gsBmVQsJls2JZlBeJUgK/vm06A8MmegeNnKnpoaF9gFWzYmnuGnZb48ilYmfwyZCR7n4DGfH+rJgRw+cHajld00NkkIaWzmHe+7qSJ2+fwbYjdfz6thn85ZMLqtK1CxIY1lt4c8dZN2NjcCqO/vLJae69JpvfvFGEWinlR9fmsKeoie4Rxcg3iY1hnRmpRITB5FxzScQiuvv12B1QXNnF2gWJVDX1c2ZkvbRmfgI+Gjkf7K6kZ8DIHWsmoVZJmDEpdFwiaWFeJA3t4/vjGUxWzFYbdrudK+bGYxkxoX53p1NdkxDhTctF1/FiTEoIQCIWSI7y5a0dZ90Ko5/uq8HPS8HCvAjuWpdF36CRd746S2qMH5FBGprGOWZsqCcnz3W6/o4P93b7Hn09Fa5rNBaaO7VEh3iSHOWLh1LK9StS2VnQwLmGfhIivHnvItUQwH3rc3h1W7lLNXTf+hz++P6pUebfNruD5z8s4bd3zEKrN+E1Yu0wgQn8t2OCALoEIBI5/Sx8PeVoRjZHdruzHefaJcmj0mqigjXMyQ6nd1CPXCrBYLKhN5iZMSmUYH81ZrON8CAPalsG3WSyV8yN5+WLjFnPIyJIg2VElgtOtcjaBQl8tMfdhT8t1pfECB8+21/DNYuT+Ounp3E4nIk32UkBnKocHW2uUUnH9OjITQ7i6Jnx07D2FDUzc1IYZ2p6GNKbXWqShVMieeWL0Z8B4MCpNq6an0hhbOcoj53l06OpbxvCYLIS6q/mgety6dcamT0pFB9POTesTOXlLWUkRHiz5aB7a4XJbKNfa2Te5HACvFW8+Olp1//MVmdrXEvXMIumRGIcx48EnAawZxv6qW3p57JZcfzu7RN09Oq5ZlEiw30W/vLJabfnz8wKJT8tmF/8/Ri/+sF0fD0VSKViZk0KJdBHhdlqw9dTQVVzv8sk7+qFiRwubWPr4Tr0RiupMb7cfXUWOBwMGyxIJCI0ahlhgRoCvNX0DBhGTei7i5p5eNNkFwFkd4DJakcQnAlJx75RoZudHUZsiCeCw4Hj/8N0hQn8cxCLRRw50862w/X84IoMnn232E0GL5eJeXRTHjKRMEodJjgcqCQC6VE+OEYMxM+TiHa7ncQIH+LD+5mVFYpSLqG2dZCIQA9O1/Tw6f4aegeNLM2PIj3Onz+8X4xMIsZktvL+ririwry4d30OUrGTrNWoZPzkxSNu719a3Y2HUjKy6HZWHqekBqMa2UhKLnJrjgjSEBHogUwqRm+yUdsygCASeGjjZGRSMR/sqqKw4sJCWCTAhqUp3LgqzVl51TjJnuqmfmZmhREf4fQSe31bBYIAT90xk8hgDW097u2l5xEZ5Elnn57OPj0f7K7CQynlR9fmusb66BBPuvv1bDtcx5L8KPYXt7B2QQLCRNFzAv8B6OzX4+Pxr6t/wEkaiMWCi4yYwP8czHb46d+OIhWLuW9DDtsO1aGQi+kZNPD5RSbFeqNzPNYZLayaGcsnuyrZX9yKxWojOymQdQsTOVbWxtoFCXgopZTX9eLrpSAzzp+P9lRxsOTCelEiFnHvNdnY7A4WTYnkoz3VGExWdEYLcWHenLvIn00kQGyYF1abY1TL/nkYTFYsNjsyiQidwcLr2ypYNSuWV7eW4wCigz3dnn+8ooNNy1Pw9XT611ltdiKCNBSf62Lr4TqG9WYWTonkmsVJrkLIiyPrO6lEhNlq48aV6ewpamLzqjS3pC5wrvETo3y+Na1Ko5IiALOzI/jVq8fd0nO9PGTcekUGJrMN0TfmWz8vBbeszqC+dZAgP9WYhE7voJEPdleTGOWLv5eCgrIOmjq0rFuYyHPvjzbqDvBW4qGSuXyKPNUy7lgzide3lzu9JnEwJS34WxVPAH1DJtdvRiTAHWuzuG5ZCr9/9yTLZ8QQHaxBZ7TS2qWlrnXQrWVMKZeMe78PDpvp7NMTHuSBVmf+/zIFbAIT+K6YIIAuAYhFIvQmKza7g1uvyGRAayLEX82uQmcV+uc3TaW0upthg5X0WD+So304dKqF/IxQXt1aTklVN4IAv759BkqZmPQYX/aebHGbfHUGC2mxftyyOp0Pd1cxOGxGJEBuShArpsfw+4tUOl4eMnw85fzhvjkcKG5BJhGTnx6MxWZnQGti7YJEAnyU3LAilU/31/Dx3moevC4XX08lB4pbsNrsIylhMfh6KcY0lROLBazW8Qdhq82BSCQQGuBB8eELUfcyqehbZajF5zq5dXU6HX16Tp7txEMpIz8jBKPJyoFTrWxelUZmvD9PvHrcTQ0VHujBo9dPobS6m8wEf7eWEnBGVf/mhzNdRtTfxNmGPtYvTkKlkLiSgL6JqxcmEuKvRi4V0z1g4JHr83jm7ROEB2nGTF44XNLGtPQQbrk8g9e3V7gRLzKJiLuuzkImEfPwxjwAIoM9eOGjUirqLyx+Kur7eOLVQn57x0y+OFjLodILiyhPtYx7r8nm9W0VbosAq83uNkEKAogFAS8PObOzwpiTHU7JSEx2fkYIkYEasI1PfE3gvwNGq533vq5Eb7TyxvYK7l+fQ3OXluZOLcF+amZkhqKSCti/ZfE1VtugzeYgOdqHnsEQvj7ehFZv5o41k9h2pJ6dF/knTMsIobKpn5/cMIXBYTMeKin9Q0Y+2F3Fl0frsdrsqOQSJiUGct/6HPRGK94aORX1vXy2vwZfLyX+3kqW5EeyTIjCUy3jeHkHV82Px9NDhkYlRau3cNXcOBRyKX/77Ayl1RdIb6VcwkMbJ7uIdC8PGesWJBLkp0KrsxAT6ond4eDXrxW6jT2pMb48cF0uv32zCKvNwdEz7ayZn8Dx8o5Rvj0SscDyGdGcqOhEo5KSGOmDv5eC17aV0zNoJD89hCX5UTzzzkl0Bgtr5ifgP1KhZmLNO4H/AHT1Gwj5NyLgAQRBQKMcvx18At8PxGIRZXV99IwkM/72zSLmT45g0ZQoHvzTwTFfkxbjz8/+dozOvgtq6ZPnuiir6+WpH87g6bdPsnpOHKdreshJCuSdnZUUlLkXnaw2O89/WMJv7pjB7qJm2nuGuf3KTLr79dy4Kg2pVMBqs/Pu15UoFVJ6B41oVONbG4CzHVkYUZ01dWhd6s+a5gFWzYx1S7X10cix251j+cWttUvyo/jxDXnUtQ2iUcl46fMyNixJ5i8jHnciAX60IZfuAQOvbavgTE0PT9w2jT/9aC4HilsY0ptJjfZDEJxF0GsWJhLkq3K7Vuexem48pdXdlFR188zdsyg620lHr47oEE+C/dT89ZPTXL8ilafumMmZmh7aenTEhXsR5KNCIhLw9VSg1X/7/TE4ZMQyUtRs69FR1dTP7Vdm8sHuKvqGjAgCZCUEcPPl6Zyq7GZBXgTRIZ7kJAVy4mwnm5anMqQzo5RLXITVNwmp84gK1tBxEUFnd8CLH5fw54fmc981OZxt7GdnQQNmi5071mTy7LvunQX/yHLAaHaawpdWdzM/O8z1uSYwgf9WTBBAlwDMFjvd/Qb++EEJMaGerJmfwO1XOmPVvz7exJ6iZlKifZHLxBjMVt7ccRaJWES+A9cGJDbMi6YOLQPDJpRyKRFBGpZOi2Z3YRMOh4MfXJnJL/5+jMggDTeuSicsQI1Wb+HkuU5++9YJl2lreqwfXh5yJGIRCpmzij5/cgS/fq3QbRKalh7CmgUJBHgrkcnEKGVi8tODmJoWjN3uIDzQA6lEhM3uNOb7ZrS70WTl+hUp9Aw4JxGd0cIXB+tc1ffJKUGU1fUQG+qFv7fSzWR6vJQCgCA/NX/99Ayt3cOsnhNHXkoQP/rjQfy9lYQGeBDgHchv3ywa1QrX0jXMZ/udRoRT04Lp6NMjEQsUlHWwp6gJvdGKVm92JZ1JxCJWzIhhUoI/JovNVXFs7x7m8Vum8ccPTrk+i1Iu4ZpFidjsDh79ywXlQWSwhvvX57L9W9o9vjhYx7VLk0epbsxWO8+9d4pf3eZMvwB46o4ZbuTPedjtDl7dWs7mVWkE+qpckuMhnZk/fnCKWy7P4Jl33AkoqeSC4mFyShBFZzvZcrCWu9dls6uw0eXjcrC4hc0rUpiYSyegN1ldflSNHVp+9epxIoM1BPqoqG8bIjLIg8RQr+98XLsgsKuwCZ3RSkyoJyfOduKjkbuZP8eFeaFRy6io73NJ4MEZq3v31dn87dPT3H11NiKRwDNvn3AbT6amBfPTzVPx0sgwWmz4eSvx1Sho7tRSVtvLoqkR9A8ZeXhTHu/uPEdytC9bD9dTWt2Np1rG5bPjiApxqigdDgc3rUrnV68WcN+GXF7bWj7Ky+DOtVn87qIxt6K+j9CADmZkhiKRiAjyUbHtcB13rcvizR1nXeaqAd5K7lybRe+AgfrWQRyCwKSEAFq7hrluaTIgUFLVxVNvXvBzaOrUcvncOOf9PKEAmsAlDrvDQc+AkZTIfz0C/jzUCumEAuh/GGKxQNHZC+EQeqOVbYfrSY/1H9VqBRAZpKGrXz8moWEy29hysI65ueEE+KioaRlg7YJEzjX28fDGyQiCgCA4U3DP1veSkxyE0WQjJymQmZkhnDjbyaf7a/nlrdP44wel3LI6nfBADzp6dXiqZRjNNrw18jHNqiViAU+1zK0V6nwRrKVrGIPJwn3rc3h9WwXtPTqmpAXzxKujvXV2FjSSFuvH/pMtbFqeSkP7EHa7w/U7nJIWTFldD5nxAby2tYPL58Sz42gDKdE+LJ0WzVfHGnjry7P0DRl57OZ8zjX289DGybz02RnOjbQryyQils+IISnCG7lcwqtbKzhdc5Bf3z6DysZ+dhY0ulRHcpmYLw7W0jtoQK2UsfVgHStmxCCXifDVKBgcNuHvrXAReBdDJBLw8VK6ESs7jjYwLSOER2/Iw+EAm82Op1rGp/uqWTo9hoqGPnYWNDI5JYiOPj1vbD/oavk6X3D84VWZvPCRe+iDVCLipsvSOVXV7SLaIoM13Lo6g6+ONXKyssvpFzU1CqvdQUvnMIYxDLiVcglKucRp1eCnxmqzIxGLXMllZoudlGifCTXsBCbABAF0ScBqs6M3WukbMtI3ZORUVTdXL0zkmXtmsfNYI1XN/XiopMzLjaC0psdFBoT4qchJCuTkuS5Ucimt3cNkxvszpDPz3s5zZCYE8PCmyWiUMg6XtjKkM1NW10tZXa8rItNLLSciSINELDBzkjMqUmewoFJIsNnELJ0WzWMvFbhFvAMcK2vH00PGvNxwTpzt4uO9F9rFEiN9mD85nJe3lPPH++eQnRSIVm9xVXGW5EcRHeLJL/5+zJWi4Ovp9PL48lgDrd3DZCUG8MWhWpo7tVy7JMVFbBwv62B2djh7ikZ7FHkopeBwqnFyUwKJCNLQ3qvDbLXT1qOjo1fHkvyoMSOn/bwULJ8Rw7PvnHSlGIhFAkvyo/jJDVOQSEROkkckIAgCD16Xy76TLfzq1eOuKn1WYgC3XZHJb94o5LJZscSGedE7aMRDJaO0uovXtrl7EzV1aHnu/VNcvSiRPUXNY/42hnRmJOKxZyub3cHp6m5nr3fXMMK37PDONvShN1oQi0XMzQlnf3EL4JTGqpUSvD1kLr+EzHh/V8R1ZoI/S/Oj+d1bJ3A44J2dZ1m/OJl3vjrnIsD6tGaUcjFysTAhrf0vxlgx400dWppG/Hs0KhmOfzKKShAJGCx2HDgQBBE2uzMJ0M9LwcPXO1U2+ekhmC02ztT0MGNSKJ8fqB1lQtraPcyLn5Ry6+oMvDVyHvnz4VEbgAGtCalUxG9eL3IRQ+dl8g9tzKW1W8fXhY0MDZuZmhaM1eaMH/bRyLl3fQ5vf3mWt0Y8ycQigYVTIvn5Tfk8/1GJG/kDzvvwi4O1rJgR4zZmHixu4YFrcxGJBdfGorVbx4825CARixg2WBgcNvHq1jJ0Rgs3X5bBtiN1WG12fvlqwbgJXz4aOcN6y4gvwsS9OYFLG4PDZiw2O97/RgLYeXgoJwig/2k4HBDgPVqtJZGMvRaJj/DmTE3PmP8DOFXVxcqZUxnSmblsViyeahl5qcE8/1GJq7hwxZw4UmP9+PNHJW7rx5svT2f5jGjONvTR2afnTx+UcMeaSbR0DeNwODh6uo2Ny1J44aOSUePllfMS2HeyxfW3h1KK1X6BwHptawXXr0hlSX4U8RFefF0wtkcmOIt2s3PCcTgcyCQixGLBlW62amYsT7xWSFqsH3aH01bhQHErxZXdVNT3Y7HaXGttkUhAKZfQ3jPM1PRg1ixMwGp1IJWKUMolvL+rkstnxeHrqaBvyMjpmh56Bw1u3nu6kTQwcM5Ny2fEYLPbkYjFfFnQyMxJoVy/ItUVcHAx1i5IwGq1YTDbiArW0NihJS7ciwV5ETzz9kkXiaeQiblqXgLNnVq81DKSonw4U9Pr5k0JzrXsU28U8cTtM3h402T2nWyhd9BASpQv8yZHsL+4he5+PTddls7gsInIYE9+80aRWxt5RX0fMzJDmZ0dRlZigOuzAewsaODmy9Pw81Ly2tZyl2+gRCxi1awYpBIRDocDHw/FRALYBCYAfHtcywT+VyARi92kmHa7g22H65CIBKamB5OdGIhGJeNPH5xix5ELapHtRxuYkx0OOA3U4sO9aerQUtc6wDWLk9h7oplfv1ZIbesAx74hoR0YNvHr1wo5cbaThXkRXD4nju1H6vn752cwW+ycONvFrsImGtu1o8if89h3opkBrRmL1c6KGTGA0x/jrrWT+GBXFXOyQ5HLxBwobiHEX80vbs7nxzfkMSsrjL99dsYtQrNvyMiz7xazcVkKd63N4i8fl+JwQM+Aka5+PVcvTEQkwOHSVqamBZMZ7+92Ll4eMh67JR9vTzm/u3MmsyaF8fRbJ9Abrc4ECkAqFY8ZzQmwaXkqf/m41EX+gJNg2XG0gbq2QUL8VLT1DDM9M4Rl06M5UNxCQVm726RZUtXN8x+e4kfX5qJUSLHZHXy4p5phg5n3d1WN+b5NnVp8NHLG87tMjfVF9C3lir4hp7R5/eIkuvvHN6CWy8R4ecj5eG81c3LC3f7X2avnltUZgNM/5LYrM4kL9+LnN00lLcaP3719wuXj1DNgxNtDzl3rsjh6po0H/nSIe/5wgEf+cpRzLUM4JkorlxQEsQizAwxWOzZBQCz+nxvyFTIRK2ZEkxTl46YgA+f96e/1z6Xx2ASBV7af5fFXjtPRa+D+5w7w6b4aTtf0UFjRybDeisXq9GsI8Fby4MbJpMf6uS0GL0ZHr1PN19yhHbP6u35xEr985ThdI+lDm5ancNNl6RRVdPLuzkqGdGbSYvw429DHx3urMVmsGExWrluWwt8+Pe1KXATnmLGzoBGjxRn3OxZOVXWTEu3r9pjZasdLI2f/RZuQ3kEjQzozj/7lCL9+rZAXPiqlsUNLz4CRZ989yfrFSXT06shKCBjzfTQqKWqFlIb2ISRi4VsJ4glM4FJA18gc9m1JpP8s1Erpt0aTT+Dfh8ViY15u+KjHG9u1JER4j3rcZLa5fNXGgmokHUxvtJKbHITVZuflLWUu8sfLQ0ZilA9/+qBk1Prx9+8WMy8nwhVsMaQz85s3iigoa3ea8c9PoK5lkB/fMIXc5ED8vBSkxvhy3/oc7HYHh0ouxKmvX5zEufpePEfMn2tbB+kfMpCdFIhKLqV7wMB46BsyolFKKShrZ1Z2OKXV3eSlBhMT6omnhxzDiFLW11OB1erAZLGhVjifPyMzzHUchwO8POQ8804xb+w4yxOvFvLUm0X86pXj/Pxvx7hqXgKf7a92Xf++QfcUrsx4f1QKKU/dMZOHNk7mJ5unMKy3sOVgHT6ecnYWNPLuV+fQqGT89o6Z5KUG4eelICnKh59snoJSLuGdnZV09Oq5f0MuIX5qrl2SzLPvFLspuIxmG+/sPIfd7mBubjiXzYrj471jr3fNVjslVV3sOFKPt4ec+9fnIJWKeG1bOaVV3RSUdfD7d4upbxuif8g45nr9yOk2V3FWcVGi6KmqbkL8PPjj+6fcQiOsNjuf7a+lpWuYtu5hxBLRRELtBCbAhALokoBSKSEqxN1kbk5OOHuLmlEoJG6V4ouhM1hckcsDwyZsdjtHSltZPTcesQge2TSZT/fXYnc4kElHV+cBKpuc8eLLpkXTO2jgvvU5bDlYyxVz43ltazle37IQOy/x3XKwlmfvmU12YgB9Q0YOFLdw/4YcVHIpT799krvWZfHUG0V8tr+GK+fGUdMydrKB1WbncGkrLZ3DbhPsoZJWfn7jVKZnhnK2oQ+t3szmlakMG6w0dQzh6SFDKhbhoZLyi78X8KNrc6ls7MNstfPRnmruWDOJP7xXjFZvwWsMc0m1UoogMKYsGeDzA7XkpQQREeRBfLg3vYNGHnvp2JjPLa/vw2K188zbJwgN8GD5jJiR1pBxLyN6o3VUmxs4SZs52eHfaiydEOFDVqIUncFCVKgXj2zKo6VL64yHvugazskOx2S2Ybc76OrTu0mh/byVGM1WHrslH4DGjiGefvvkuJOkj6ecn/3tmNvk3Ddk5DdvFPHUD2cQ7K2YmGAvARhtDt7ccZajZ9qx2x2EBXhwy+XpRASoEf5JJc4/C4cgoDVY8fFUkh4rYc38BKqbB/hoTxVKuYSf3TgVmQjs/6DwZhcEnnu/hPL6Xm5YmcrbX511xe86/RNyeGN7hdsC76uCRn71g+koZGLm5UaQHuuHAzhV2cXBU62YLDYGh82j7i+ApCgfqpr7XdL/zavSONfQz5s7LqQM7jnRzPSMEB68bjK/f+cEErGIyCANSrlkTKNmqURE3+D4GwQAs9X9nvb1VGCz2d3GoPmTI9jxjSrqeVisdkqre+gbMnD5nDg6+/Ru56KUS7j76mz2nGhmdlaY897/nr/zCUzg+0bXyJz170TAn4eHQsLAt/gFTuD7gVou5q61k9h+pJ6FU6Lw8ZRjMFq5Y00mv36tyG0dUtMywH3rczhQ3DLmsRZNiUSrN9PVr0cmFVN1kckvwLzcCL481jDma8+vH1NjfN3MgaubB6huHiDIV8VNl6Uhl4pZNSsWH40CpVxMZVM/R0dIhegQT65dmoxIEOgcUaPIpCJkEhHhgRrONfaRGuNHRpz/KLXpeSRG+dDSNcyR0208ev0UPt1fzfrFychlzs8T5KtiZ0Ej6xYmAnCuoY8712axq7CJyqY+1sxP4OO91QgCfLC7csz3sNrsFJZ34O+txMfTWeCMC/dyteMF+6nYvCqNqsZ+uvr1fH6gFpvdgYdSymO3TMNksvLo9XmcbejjVGU36bF+LJ8eTc+AkcQIb07X9pAc5cOA1sjWQzWkRPuweVUabT06V+vyN/HFoToeuDYXYMy59jw6+/QoZBK+Pt7I3JxwooI9sdoc+GjkRId4suVgHXtPNDMlNRilXDLm+5VW92CyWPn17TP4ZF81RRWdBPuq6Bsy0j8O6fvJvmqevH0GNruDsXdDE5jAfxcmCKBLAALOBLBJCf6UjpgPB/qoOHiqheUjypqx4KORu1pu1AoJ7T06Hrk+j4/2VNPRq2PhlEhuuzIDD6UUu90xqgXpPOblhqOUS3jguly2HqxDKhFRWt1Nv9ZEsJ963PdXKSTYRnZ0heUdnK7u5mxjP+sWJNDUoaWmZYDKxn5+83oRP9qQ42xnkojYX9w67jGbOrQkR/tysrILqUTEjMxQ5uSEs7uwiemTQimqaKe6edDVGuWpdlZUNi5LprlziIc2TkYqEbF0WjRldX00d2p5fXsFd6zJcqqsHA6mZQRz7MyFvnVfT8W3xrc7/X8s+Hkr0BmsyKTicaMsAbR6Mz+7aSp1rUMkhHtjttoQiwQ3s8CL4eUh5+FNeXywq5ITZzuxOyAzzp8r5sVTUNbGwilRY74uwEdBXJg3Wr2JysY+Xt9egc5gISHCmxsvS+Po6XYOlbQSFaxh0dRIJCIRN65Kc5J6I6eSEu1Le4+OE2c7iQn1JDM+gLBADyQiAfMY5xsb5oXRZB1XSfXWl2e5/5rsCa3B/zF6Bw384qUC2i8iBVq7h3ns5QJ+fdt0wnyV3xtJZxcEPj9Ux7bD7l5WCyZH8Ow9s1HLJcgl327+fB7DIxHu4Iwyv1hFMy0jhJPnutzIn/NwOOw8simPbUfqefrtE4hEAvnpIfxk8xT+/HEpaqWU4DFaKWNCPV1tWr6eCjQqmStKHZwE0dr5CQwMm+gZMPDw9VNQK6VctzSZtnESZSxWO6qRyHWlXILVZnfzLBOJhFHtctcsSkSlkBAb5uVSFAX4KNlVOHbkLkBtywA+ngqee+8U169IRSwSaO7S4u+lJC3OD4PRyuSUIHqHDHh5yBAm1HkTuMTRPWBAo5KOUhD+K1ArpeiNTrXg93G8/1ZIJCKMFjsOQDLWGGJ3kJUQgEwq5t2dlbT36vD3VnD1wiR+fnM+tS0DtHQNE+SrIinKBw+5hKvmxY+KP8+I92d6ZigtXcP87s0ibrwsnb3faI13rovHXz82dmi5cm4cOwsaMVtsbpHgnX16uvoM7CtuJiJQw6REf57/sJTIIA3Lp8cQE+qJXCbm9+8Wu5HpkcEafrp5CkUVnXx2oIaeASNP3j4DtULipkIC59h+9cJE6lsHKK5U8sw7J/nRtTn4aOTUtgyy7UgdV82L5y+fnCYp0odgPxUL8yI529DL6jlxfLa/lsVTI3ny9hmIxQLNncOMh5auYaakBtE7aCTIR0lMqBdzcyKICNIA8NaOs1y/IgV/HyUqhZQgXxVeHjJEIgcnK3t4Y/uF/cCWg7VkJQawIC+CQZ2J9Fg/GtqHiAjS8OvbZ9LZp2fviWaX9+N45zOgNdHUof3WuPioYE+XJ6jVZndLFZOIBe6+Ohu73cHJc52kx/pRdLZz1DEEwWlKPWywkBTpw7VLnATbxW1838TgsJn2Hh1hAR6olBJM4xBZE5jAfwsmCKBLAA6bA6PJxsqZsQR6q9hX3OIybZNJxAR4K8eUnF41PwGpROCRTXmYrTaa2oc419jH2gUJGEZSxTr79BjVcnJTgjhY0krtN9Q3s7LCiA5xMvA6o4W5ueHEhXuz63jjiFTVQnigh1tf8Xksmxbtalmw2Oycn2tTYvzQGy/0Hrd2D3P/Hw8S4qfi6kVJhPirx20rCwlQExGk4ZFNeTgcDgorOnjqzSLuX5/D+19XsmJGLHtPNnPsdDtWmwOrzc7G5clkJQTS2afjb5+eZkhvJixAzQ+vykSrM3PyXCdNnUPkJAVR1dTH/MmR+GgU7C5swmy1YzRZiQrRjPv9KOUSRCKBH//lCGKRiEc2TUYQ+FbfjcFhMyaLDQEH3h5yFk6JYOcYfePpcX70D5v4cFclydG+PLQxD7FYQCWX8JdPTnPL6nSaO7X86Noc3tx+lu4BAx5KCT+4IpPQAA+6BnQoZBKC/NRIR9p7qpsH+N1bJ3j0+inMyQkn0EfJJ3urOXmuC41KxsqZMdx0eRqnznUxfVIoT799krgwLxIjfAgNUPPZgVpuvjydFz897fYZVQoJd66Z5Ja89E3UtQ1htTuQTuw1/88gCAL1bUNu5M/FeHVrOY9umvy99P+KRALN3fpR5A84lTPTMkLwDdH8U+SPIAjuKSAjBNWMzFDmT47AWyPn538frbwTiQQUMgmPv1zgWpDbbQ4Ol7ZRVtfLA9fm0tA+RHSwJ6H+arfFfUKEt4v8zUsNcrUBSMQibl2dTrC/midfK3SpkAAy4vy4/apMZN+yGLZY7Tz5wxl09uqRSUUIgsCWA7VUNvUza1IYJyudi1pvDzlrFiQQ5KdmcNjMjMxQ9hQ1YbU56B0wEuKvHjfJKNTfg5Zup/H/Hz84hUYlJdBHxZDOTFKUD0++XkhksCc3rEhBLBZNtIBN4JJH94Dxe1H/gLMoBs6CjO+ISmIC/zwEAawI7D3Rws6CRkwWG1PSglm7IAGV9MLsIRILHChtcysw9gwY+fPHpSyfEYNIgLP1ffRrTdx6eTpJ4V4sz49iVlYYR0pbMZptTMsIxd9bgQD4auSYrXZ6Bw2E+KvdfJx6Bg2Efsv6MSzAA39vFbddmYlMIsZotvLRnmqXP2Z8hDdtPcMsnRbNfX84gN3uoLFjyOW389ALh9xII4DkKB+2Hqpj60VznM1u56GRUIDzaqPwQA9uXZ2BgAM/LyVXzI3H20OOZOTY5fW91LcN0dqt49bVGXy0p4rTNd38cM0kztT2oDdaefyWfNRKGcdOt+Hvo/zWzxoZ5EFGvD9NHVpmZ4dRUd/L6epuvj7eyJDOTEyoJ8fOtNPeoyM80IOiig6W5Eej1VvcyJ/zKKnqZtXMGFq6dby85bhbgWjFjGimZwTT9i2F0lB/NSqFBH8fBRuWJPHUmydGPUejkhLir6a5U0teahCnv+EHZbU5eOHDEh7cOJljZ9oRjeONkBHvj49Gzr4TzewvbuHomXampAbhpR6/Y0GjkqIzWqltHSQ/LWiCAJrAfz0mCKBLAGab06T46bdP8sRt05mSHoxIEMhNCeL5D0q4c10W73x1jqqRFACFTMyaBQnYbHZ+84ZzkFUpnBHEv3+3mAevnYyvp4z2Hh0quRSj2Yq2y8wda7IwGC3sOFqPWCSwYEoUgT4KugcM/OG9YlcSgFoh4b71OWw9XM9bX57lvvU5fLynmrI6Z2VeJhGxfHqMW6JUSrQv2w/Xo5RLGNCaUMolo5K62nv1vLnjLDeuSqN85FgXQywSmJISzK9ePe6mlslPD6G0upuC8g6KK7uYmxvBQxsnY3c4sNocBPoo+elfj7BuYSI3X56O3eFwbrgO1lLZ2E9eShAzMkP5xd8LuHxOLBqVlCXToslJCsRis2O3O1vkzpvpfROLpkSy/Ui9ayN2rKydyclBY1YmEiK8Ka3uQSYVI5OI6B828/irhdx+ZQY2G+w72YzN7kAQYHJyEMumR/P02ycxmKzUtAyy7XA9sWFeIz4kabz0eRlx4V6smhnDbVdm4KNRIJOK+dOHJa7fAzgjNO/fkMOz755kcNiMwwFvf3mWB67N4f7nDmK1Ob+LYYOFl7aUkZscyNL8aH775gksVjtzcsKJC/fCbLHzdUEjusxQfnbjVIoqOukZMBAX7sWMSWE4HA6mTwolJzmQr483cvJcl9vn9/dWjngWTbSb/F9BLBY4Vdk17v9rWwex2R3j+k59FzgEgS0Ha8b9/+cHarn/mmz+md+Dw+HAR3NhozaoM3Hd0iTsDvjNG4Xcuz4H4xiLtimpwew90TyqGgtOg+fq5n7O1PQQFuDBD67M5INdlS5TebVCSmqMH1JJ7ciGwanWe+DaXDRqKb98+bjL/+o8ztT2suVgHXOywwj0Gd26eX5823a4zqUUVCsk3H7VJKb06ZkxKZTWTi0Zcf6YzDZ2FTbx8pYy1wbifNrM3pNNbFqWyrkG9zYIcFZKc1MC3RIEtXoLWv0gYQEenGt0brhuWBnBodI2Fk2JxMGE8eUELm109eu/F/8fcN7bAIO6CQLoX4HFIfDUW0XUtV5QYe4ubOLY6TaeuXs28hEOyGh18O7XY7cqfXWsgZ9unsK2w/WIBIgK8cThcCAAnnIxl40o3K1WmysgQCETIwiw90Qz169IdQVSgNN38qbL0l1r0YshFgnMnBTK4y8fIysxELFYRHOHltuvzMTmsOMzkuwokQica+hzrTEvmxVL35CRsrreUeQPONefT7x2IfErLsyLqqYBth2uY9n0aK6cG49GJcPmsPPS52do6hjmirnxzMoK5eCpVvLTQ/jyWANhAR6AU22THO3DpuWphPirsdsdaJQyQv3U+HopeOqNE7R2D+OjkXPT5eN/1rzUYO77wwHX58hLDWL13HhXomteajBnansRgCvnxRMfYWTYYOLE2bHXBk4/HYG/f3Zm1P+2H2kgNcaPWZNC+Wxfzag58fx1/NMHJTR1arlqXjw3X57OezvPueblqGANm1em8erWcmZOCmV2djhPvz2aJHKSf0YW5kXwl09Oj/r/grxIfD0VnDzX5QozMZisWG0OPNVyPNUyhsZo/Vw6LZr9J5vx91YyPSNkzGswgQn8N2GCALoEIBIE1Eqn7FkkwJDOxPMfOqsnK2fG8MJHJSyeGsXaBQnY7Q6C/dQ4HHbe/qqShAhvshIDmJcbQUevjvy0YLw9Zew92cz8yZG8+Mlp1wQiCDA1LYTLZ8eiVkj5YHcly6fH8Lu3T7hVmXVGK+29OnKTAjlZ2cXTb59kxYwYVs+Nw2p1EBqg5otDtbz4SS0AMyeF0tA2hMni3DypFBIaO4a4fkUq4YEeWG12RILA0TPtHDzVQnVzP7euzuCN7RWuicRTLePudVnsKWoa1So1c1Iof/7YGRtpttppaB9Cb7LQN2jkbEMft1+VyW1XZrKrsIkjpe1Mzwwh0Eflqjp5a+ToDBZ+dtPUEaNkAYPRytNvn3S9f5Cvip9unsKz7xbT2j088r04vZjiw73ZdrjOdT47jjTw0MbJWG12Tl3UB54c6cOGpcn87q0T6E0Wnrt3Lvf/8QBWm4Nn3ilmYV4kv793Nu09OkL81ew72cJv3zrhFj0KzqSIrwsaOTqS9nbFnDjK6/qQSUUwQmxdTP6AU/r82rZy1sxP4JUvygGnwXSf1uQify7GyXNdrJwZi0QsIshXhbeHnKfePME912QDTqO9grJ2shIDSIn2JSPen8dfPuYiCRUyMesWJhIRpOHzA7Wu466dn4BsIg3s/xQOh1MqPx6cnlffD0lntzvQ6sduBwQY0pu/U8+9j0ZGgI+S7n4Dh061smZBAo+9VABAZWM/WYkBo0jHhAhv9p4YO0UPoLC8k8RIb0xmGy98VMLKmTGsXZiARilDJhUzrDPzsxun8vkBpww+xE+NSIDufsOoha5cKiYz3h+j2YrNbueOtVm8sqXMJXePDtGgkIn54lCd2+t0RivPvV/MH++fx47DdXwxhmKqpWuY1u5hrDYHP71xKkM6E14ecm65PJ03tle4PNc81TLuuTqb7n79qDY+sUjg2qXJvLvzHFHBGlRyCXOynX5y6xYk/JPfwgQm8H+DnkEjof7jt51/F6iVFwigCXw3iEQCDW1DbuTPeeiMVj7ZX8N1ixKx2+wMGyyj1jDnYbc70JusiEUCaxckIJOMxGGNwDIGkaCQipiSGszx8g7qWgfZuCyFD3dXYbLY6NeaaGwfGrV+1KikI23+FtYtTOLo6TYsNjt5qUHojBZ8NHL+/tkZEiK9WZYf45ovRAJkJQby9ldnyUkKHHUuErGAzmhxG2fjI7wpq+2hX2vi3Z2V+Hoq2LwqlWffKQYgPz2YqGANT7x6nFuvyMBmc3pRPn3XLCRiAavNwbmGfmfhLTucV7c612vpcX7MyQ53rT/7tSaqGvu5fkUq739d6fZZb12dwdZDdW5r5aKKTvy8lExLD6GmZYDESG8+3F3FravT0RmseKrlqBUSSqrGTmGbnOrsEhgPWw7WsSAvgvs35PDXT0+7vHYkYhGXz45Fq7e45sFP9tWQnRjAL38wnQGtEYVcikohZmjYzF1XZ4EDfvzikVFF4vMwmCzoDBbuXpfFqapuTpztxEMlZdGUKMDBj/9yGJPlwmuzEwOpbOznUEkr96/P4cVPT7v89EQCzM+LJMhXxUd7qtmwJAmLZUL9M4EJTBBAlwCsNqcH0PrFSbyx4yzBfmoevT6PrwoaMBot3LU2C7FIQCoVIZWIUcoExBIZm1emUtnUx+GSdo6faWfD0mRWzYpFLhGzaGo0v3+32I0ocDigoKwdiUQgM94fT7WM7gHDqBaDyCANUomI9UuSuHZpMifPdXGopIX+ISOXz47jcGkLpdU9xIV5sXJmDElRvtS1DZIU5YPVZifIT0l4oAcf7KrirS/POhU2EhEL8iK55+ps9hQ1MSc7nB9dm4vNbkcsEmG22DhwqoV5kyM4U9vrJvvVqKQYTFYSIrxZvziJqqZ+mjuHSYn2Ze2CRLr69Xyyr8YlxT1T20OQr4q7r87mr5+WMicnnPe/ruRQaZvrXO6+Jpu0WF+KK50ETmefnje/PMt967MZGDZhttgJ8lVRVNHJcx+cIjrUi6X5UWjUMgQETp7rZFZWGBuXpzCoNaFRy6htHeS3b51AZ7CQEu3L0TNtroqS3e7g6+ON5CQF8tSbJ5iRGcqkBH8cF03gIgEumx3HoM7kIn+iQzyRSES8vr2CjctSkEvFnK4eewKvbxsi1N/D9bdELGA0jW8gXV7Xw8ObJhPsq+LhFw4zqDNjMttIj/WjrK4Xm91BcWUXq2bG8rO/HnVtQMGZ/PDmDqc6LMBHSc+AgVUzY0mN9sE2BuE0gf892EYWvq9uLRvTq2rVrBjkEgGb9d8ngCRigdzkQLckrIuRkxQ4JiEoEjkTyex2h9vvRSER8eTt0/nDe6eIC/fm0/0X1EV7i5p4cONkztT0fOO3aHVt9saCWinFaLZhMFmRSkR8fbyJlBg/Xt9eQVmtkxxPifHlhhWpaFRS7A7YdbwRyTcS01bPiSMt1o+iik70JgtDOgtBvioeuT4Po8nKkN6Mt0bO02+dHPM8rDYHR8+00TNoJCPOnwV5EShkEuwOB0dK2zhW1k5RRSezskJ54E8HsVjtXL8iFT9POb+9cxZ6owWRSECtkGIwWfDRePPo9Xl8ur+GviEjCeHeLJkWzZHTrczMDCU23JvnPjjF/etzaOkeBmGClJ3ApQuj2em15/09tYCp5BIEGFMNMIFvh1gicksk/CaOl7Wzdl48UgFX6/l4UCuk/PiGPKKCNAj2secB24gSG5zRxDeuSqN/yMjnB2qZmhbMA9fl4rA78PKQ0681UV7XywPX5aJSSBjWWwj0VdHZo2dnQYNbgeB0dQ8RQRp+dG0ObT06yup6yU4MICbMCwA/LyUtXVraunWsmec16txtdscovzaj2eY238zJCXO1xcskIpbkR/OrVwpIj/OnoV1LXJgXi6ZEYrPb+fENU1yK7wWTI9lysBaJ2OnNmBLtQ0efnoc3TUYkCBRXdrGzoJHMeH9+dG0u4ECjliGXivnbp2eobBqtDN13opnHb81Hb7Ty/IclBPooCfH34McvHgGcbWp3rs1iWnowfVoze080U1rtXAN7qmRjWj2cR/+QEbPFxrs7z3H9ilTUSikiQSDIV8WHe6o4eMpdCXyqqpu2Hh0bl6fQO2jEUy1HIRfT3a/HYLLhrZHTPY5ZdEq0H0+8ehyDycpfH55PXJgXfl4KXvjIPakXnG3U2UkBfHGoFocDXvz0NFfNi8fXS4GAgEIu5lBJG3/+uBRBcLaUT7R/TWACEwTQJQGxSKBvyExmgj+vbi2nvK6XwvJ25uZEEOCjpKK+lzO1PWxYkoJG5ZRpbj/c4NoczZwUyrpFSbz91TlauoZ57OZ8lArJKJXIeRwtbWPx1Ch0Busob6G5OeFkJQbwwe4q2nt0iEQCU9OCuW9DLjXN/Zyq7qKzz7nZ15usfLKvBpPZxj3XZDM/N5yYMG9qmgc5WNLqRlSYrXa+PNaASCSwaXkqVrud37zhlNVe7DPT0O70uzGabfQMGAj0USGRiMiM9+ey2bGuyfM8thys46c3TkEudV+EdPbpOVHRyeO3TOPFT8+4Jrnz5/LXT07z4xumUFrd46qilFR146WWMTMrjO1H6picHMSR020szY8iJtSLj/ZU0dVvQCwSmJYZQkSQhuLKLg6XtrJ+UTIvXiRX9dHIx00IEokEjpxuQ2+08ODGyQzrLZgtNgJ9Vfh4ynn4+cN4qmXMyQlnUoI/z71XTF5qECH+qlGLkW/CYLK6qkwzs8I4VTm6Te08RIJAqL8H/UNGFk2N5JN9NQwbzKxZkEDvoJH2Xh2pMU4yyDxOpWbb4TruvSYHtUKCVCJCjGOi+esSgJ+Xgoc25vH02yfcqoRZif4snByJbZzv87vCZrUzNyecbYfrGf6GMbhSLmHJ1Cg3gkcQBKxAY9cwZbW9BPqoyEzwRyUVYbI56BkwYnfAzZeno1JIXWl7Pho5aqWUT/ZV8+PNU9h+pJ7Sqm5UCikeSimXzYp1Sd+/ibk54by+rQKT2cqmEbPkP39U4ta6Vd00wI6jDVy9MJE/vl9MR6+OW1ZnAE4C6Y41mfh6KukbMmJ3OCgq7+RwSRsRQRo2r0zlidcKiQ3z5K612a7Ko7+3ArlUQmef3qXCa+7Qsml5CodK23h1azlDOjPykfSyB6/N5ejpNhIivfnRtbkIgNliQyGXIBYLzvFYLKBRydhxtJ618xOobx0gM94fjUqGIEDvgIEVM2L426dneH+3M4rXZreTlxKIY4KXncAljJ5Bp7r025JHvwtEI2rkweGJKPjvCgHn+D0eZFKxy1FMrZCM6RMpCJAU6UtkkAdih8NF8AiCgEQiYLDYqWzop6F9iJhQLxLCvVFIBdr7DLy6tYw5ORFsWJpM/5ARq9WOwWzlla3lrvF12GDBbrdz4JQzJdZosY5ShwI0d2o5XtZBbnIAuwqb0RttaHVmEiK86R4wIJOKMZis9A+bSIr0cSNWHA4n4eOjkbsULyfOdnLHmkkuj0sfjYKukXOamh7CwVMt2B3OFMdXt5azeVUaEUEe9A4a6R4wcO812RjNNiKCPHhpi5671mWh1Zlp6Rrm7a/O0dmnRywSmJoezKPX5/H794opOttJeqwvd1+dzYmznWOSPwAmiw2Txc6+k808cF0uGpWM2pYBEqO8qWp0mnH//G9H+cmNU3ltWznLpkWTlxLEy1+U0dqlJSMuYJQvz3nER3jT3DlMY4fWZdwsEsGvb5sxrjF3TlIgAvDx3uoLa+f0EJZNj+baJcluBtDnkR7nR2Vjn2s9UdM6yN6iZjYuT+G+DdlsP9zgusYzM0OZnxfBnz4oce0jOvv0rtax267M5PMDNXT06hGJBO5am4VMKkIiEWH9ntZAE5jAfyomCKBLADaHs4d67YJE12NavYWS6m7WL07CZJY5qyR2O1q9BblMzI4R7wdfTwWzssJ46s0iHA5Ii/XjXGM/0d+Ilb8YdodzYmtoHyQvNdj1eICPkrzUIJ5++8JGym53cOxMO3Wtg/z0xinc/ex+HA5Gue1vP1LHlfMS+MXfj/HAtbnjqlR2FjSyJD8KhUzM3Vdn86cP3CcAAaePzCMvHEYkEhjSmYkI0nDHmkn8/t3iUZGQVpud379bzC2r0zld494rfbCkhcX5kW7kz3kMGyx8sq+aJ26fzutbK6hs6kciFnAAKoWUnKQgspMC8PVSYLU5eP7DEtdrwwI8yE8LobNPj0ouYfOKNIYNFvy8FPSOLGLbe3XMy40YNTEWne1kXm44e4qaOVXVzamqbmf7n1hEdnIgS6ZE8sM1k7BYbRw7087uwkbuW5/LmZoeXviolB9tyEXkrqJ2g0ohwWpzEOqv5ppFSXy8p2rsJwLJ0b5UN/fz0udl/PSmKfQNGTlT08uBUy3csCIVkSAgkYg4eGr8SmBr9zC9AwaGZWL2Fzdzy6q08d2xJ/C/BrlMQkqkN39+cB6VTf0M6cykRvviqZYh+kdZ7N8RCrHAb++YyRs7KjhxthMHzoXfDStSUUrd07/MDnjsZfd0svBADx7aOJnuAQOf7K2mor4PuUzMD65IZ0ZGCIlRvgzpzAwOm4gI0tDZqyfUX83ls+MwmKzsOFrP/NwIZkwK4Uhpu9u5LcmPIsRfzQ0rU4mP8MJuh45enRv54+0h5yebpzCoMzE4bKKpU4tYJGCx2pmeGcKSqVF8caiO4sou5wI2I5SfbJ7C8x+W0NyppbCikympwRSUtVNU0cGiKRFMTgmmq1+P3mglMlhDQ/sQH+yqJC7cizM1Pbzz1TnX+5vMNr461kDPgIHrlibT1Wvgw91V1LUOolZKWZofhd3u4P3dlRhNNtfCeGl+NFuP1KMzuI+JP9k8xeVxBM7xLD7MayIGfgKXNLq/xwj481ArpRMtYP8CLBYbi6dGsmekVcpTLWP+ZGfC1LDejEouQSF1KncQBG5ZncHTb51wjU2Lp0YyPSOUnkEDpTU9JEX6oJSKsNgctPUM09Gnx0vtNHveVdjEkM7M3Jxw1i1MdJr0ZoQS4q+moq6XSQkBPP3OCQa07t9jkK+S4+XONFeFQsyxsh5UCgn6Mbzg9p1s5rJZsUAzMqmIN3ZUcP+GHE5UdBLoo0QiFvHm9gp+dG2u01vmZDNGs43IIA1qhYR71+fwm9edYQA6g4WmjiGWT4tmx7EG2nt0RAV70tVvINBH6SJQ5DIxWr3ZWQzsHqaivo+CMuf5qhQSfnjVJKakBiMWBLw85Dz7brHrfG12B0dPt9PUoeXGVWnsKWrm2qXJvLTlDHOyI8b93jQqKQHeSoJ81FQ19hMRrGFw2MyqGbH4r1Dy4e4qTlV1U3CmnYQIb977upIr5sazdn4CSdE++Hsp+fxAzSg/PbFIYMnUKJ56s8jtcbudceeVyCANSVE+bvsJm93B4dNtNHVqefT6PB7ZNNlVuFbKJSzIiyAjzp/nPyxh0ZRIUmN8CfRRYbLYeOylAn5+01Rsdjs3X56BIEBt6wB9Wmex8pvw91aQEeeH3mhFJhWRkxTI8XJneIxINJEKOIEJ/McTQLW1tTzxxBOcOnUKtVrN5Zdfzr333otM9u1VpHfeeYeDBw9SWlpKf38/f/zjH1m6dOn/0lm7w+5wbtg9VBdkpWEBHmxemcpz759ykzBHBGl49Po8lzv+oimRfH6g1rXnDvVX09g+SF7K6H7m8xAJzk2PwWTD30vpSsZZMjXKreXiYnT26Wls1+LvrRxTtmm22jl+ph2HA7f2rW/CarPT1a/n2XeKWT49mmfvmc2pym76tUaSo3wBB9uO1HH/hlxe+aKMfq2JhvYhrDb7mIM8OCXeMol4VDKXMyVs/E3PyXNdrF+czO1rMuno0eNwODhxrpPHXzpGcrQvErFARpw/T48oC7ISA7hibhyeKjlPvHbcRfYArpazP7xbzMCwiZauYbKTAlDvlrpFpn9d0MDdV2fj7SFnx9EGZ1qbzc7CvAiSo3xp6NDy108vKIluuzKTT/ZVu9rbTp7rZGZW2JgVl+zEAExmG3etyyIpyoe3v6rg6oVJlNb0jPrO1sxPoLC8g9RYZ2Lbs28X8+PNU3jkz4fRGSw8974zVSg/PYTQAI9R73Ue51M6PNUyapoHsdgmEsAuFQg4kAkwKcYXQRCci/X/ARLAbnegkgrctjoD86o0AKRiAZHD4Ub+iCRiXt9SNiqdbO18p+LsydcKXWolk9nGvhMtXL0oiV+/VuhG/CZF+rBuYSI2u53fvFGE3e5gckoQeSnBzM4Kp7SmB7EgkJngT03zAEM6M/ER3nx9vJHmDi3hQRd+zwqZmF/+YBqHS1oZ0ptZNCWKO9ZMwmK14++tZOOyFO77wwFXCpjV5uBQSSsV9b3cflUmT7xayIHiFm67MpOCsnY6+nTkJgfxmzeK3Ly3JqcE8aMNOYQFaHj4z4fHvI4nznaycVkyT7x23EXw6gwWPtlXQ0acP5fNinP5RYBT4WAYo8XzYr+K5Ggf6loH8fNS8P04q0xgAv8z6BkwIhELeCi/v2WpSi6ZIID+BTgc4OepYGl+FIM6M/MnR7DtcD1fH2/E11PBlXPjsdidKWGtXVpe31rBPddk09mrx1sjp7lTy+OvFLimG0GAdQsTkUvFvLnjrOt9nO1ZuRw73UZYoAd3PrPPbfyanR1GtM7E3euy+WB3FZWN/fho5KyaFcuMzFAsVjs3rEzD4RDITQlm+fRY7A47H++t5tiZDtdxbDYH5+seZ2p7yUwI4DevFzE1LRixSMQ9V2fx+/eK+c0bzsfuXJuFTComKljDnz8uxWi28dMbp9LUMURDu5ZgfzW5KUFMSQ+mrLaHGZPiOHHOGZgR6q+munkAs8VOaowv1U0DpMb48dGeatf56I1OtdJV8+Np79Hx8UX/uxgtXcNIxAJXL0rkp389itVmZ1pG6Kg0y/O4Ym4CO47Wkxzly/7iFt646FpLxCLuWDsJiUREffsgSZG+QCc7jtTzq9um85vXC4kM8uCxW6bxytYyV/hAZJCG9UuS2HKo1i0N8zy81HI0KukoL8Cl06L5YPfYBcimTi3dAwa8PeQ8cG0ufUNGdEYLh0ra+HB3FQ9unMyuwkZe/qIcpVzM7OxwVs6MpbKpj/mTI3j85eOuNYHDAY9en8crX5TR1W9AEJxr4RtWpnGqsouYME+CR0iklChfqpr6mZoSNOZ5TWAC/034jyaABgcHuf7664mOjub555+ns7OTp556CqPRyM9//vNvfe2WLVsAmDNnDp9//vn/wtmOD4VMwuTUYPoHjSRH+3CuoZ91CxN54aPSUf3rzZ1aXvr8DHety6KwvJOYUE8+2nth8hjQmshPD6Z70EhcmNeoflmAaRmhiEQQ5KPije0V3Lkui3e/Okd4oIbalnOjnn8e5XW9xIR4MjsrjLRYP0wWG3KpmOrmAWx2ByVV3ZgsNjSq8ck3YYQcMIy0j322v4b7N+Ritdl4dWu5K4Wr+Gw3m1el4qGSYbHYRvlxfBOWEaNp20Ub3OkZIaNaw76JwWETXh4yV2VDpZAwY1IYS/Kj+Hx/DSH+atp7dMzODiMtxo+OXj0vfV7mRv7AiIfQjgounxPHzoIGbliRxmf7a/jpjVP46yenaexwmuOplVKG9U7vkLvWZRHoo8RssWGzw7YjdVw1L8E1maoVEjzVMhf5A04F1f0bchCLBA6eanWlOU3PDGXD4mTq2wYJD/RALAgcLmlnZmY4t12RSWv3MOV1vWjUMqamBXOmpoc9J5rJSw3GbHWSayazzY0g0Oot7C5q4nd3zmLroboxDftWzojFQyXh/a+rCPBRIhEJEwqgSwzOBfX/7HficAAOO7Lz5J99dCug3mzleFk730R4kIbXtpW7tappVFJuWZ3BQ88fGrXorGzq53h5O/7eSux2B0q5BF9PBb998wRKuYSESG+X55bJYuNnN07l8RHVUbCfiqzEANex7lgziRc+KsHXU8HUtGB++tejroWlSCRwxdw41sxP4O2v3MfF3kEjje1aEiK8qW0dRCIWEASYmRnGL189Psqc+cTZTlKifQjwUY1SMV6Mps5hMuL8Kf2GDP9MbQ8rZ8Ygl4kxmW3EhHrS1TfaBDrI1xkDLwiQmxzE8pGUwYs/8wQmcCmie8CAl4d8xKD++4FaIZ1oAfsXIXI4uHphAo2dw/zy5QIXKa03DvOnD0tYmBdJUpQPGpWMpk4tv36tkOQoH66cGz9q4+9wwAe7qrh/Qw7eHnJXkbC5U8uWA7WsW5jII2MQ4wdPtZIQ4U1RRSc5SYHcc3U2Hb06Pj9QS1PHEEvyo/nNG0Vu6+Q5OeFcMScBH42CHUcbAJgxKZQztc4xdeuhOn5x81QUMjEHT7XS1Kll0/JUnrl7NrsLm+gbMtLeo2NaRgi9gwbWzE/g/V2V/PSvR3nqjpm0d+uID/OmvVeHzWYnMz6AviEj91ydzftfV3LrFRkcLGll38lm5mSFY3XYR5Jzozl5rsvVwna8vJ0r5sah+QfeO1KJiC0Hal0Fhbd2nOXxW6fx98/OuAJe5FIxy2dEMzUtiM/219DYMcSJb6TUWm12nv+whJ/dOJW9J5pd94XJYqN30EC/1oSHSoZIDHevy3at94xmK1sP1XGqcrSSPi8liJOVXfzi5nxe+KiUhnanabiHUkpipPeoYs/FKKnqxsdTTkq0L6EBav722Rkq6vv48Q1TeOqNItc8qTNY+HRfDXFhXly3LIWy2l7n+nwkfMTfW0lbt5af35SPbYTls9rsGExW0mL9OXmuE4vFTkSQBx/uqUKtkDIlefwC+QQm8N+C/2gC6P3330en0/HCCy/g7e0NgM1m4/HHH+cHP/gBQUHjs7zvv/8+IpGIlpaW/3MCyGK1c6C4BU+1jFsud6YbyCSiMSPJwWmuduW8eMwWGx4qGWsXJPDBrqqR/3WxYWkyz75zkh/fMIXn3j/l5gU0JTWI65Yl87O/HXUlOv36tUJWTI8hLMBj3AhFgEAfJbOzw/h0X40r/h2cbWc3XZZGZ6+OqqZ++oaMhAV4uNIMLkZ2YiDldRfaE+wOeP7DEh64Lpe+oQuLhvZeHU++XsQvbs6nvXuY6DCvceW9ErGASi4ZtYGckxNOVdPA+OeSFIDBaMHLQ0ZytA9JkT6kxvhx8FQrb+6oIDHSh2A/pzJrbk44v3r1OD/ZPGXcybq2ZZAfXjUJlULC21+dpaVrmLrWQe5bn0PPgGFEkWTnq4IGymp7mZoWTGKkDz6ecqqb+rl6xND6oY2T+XRfDYkR3hhMFiRikWvyt9kd/P7dYhbkRfLI9XloVDKGDWZKq3p44aMSNi5PoatXh0wqRiIW8en+GpbkR7HnRBMxIV4M6808885JTGYbN12WhlZvRq10qpT6tUZ+e+csDpW2UlLZjbdGzsqZMajkEn564xT+8N4pBkb64GUSEVcvTiI6RMO7OyupbR3ksZvzEX9Le9oE/gWIBIwWOyaLDaVcgkIiwv4farJtsTrG/G1IxAIV34i6vW99Duca+8esOIKzBfX+DTkAhAaoqRshug0mq1v7aXSIJy1dWtdCtKNXT6CvimA/NZnxfgT5qOjqM7BhcfIo4sZud/DJ3hruXDuJED/1KAXi6RqnEb6Xh5OkTYzwoaK+bxQpcx5fHKoj9x9UHhVSMVmJAaycFcuLn5x2mwPq2wYJ8VMjlYi4/apMVzraeYhEAj+4IgMfjYKfbJ7CmZpefvvWCeLCvBCLJmR5E7i00T1owOtbikf/CtQKCV0D+u/1mP9NsFod/P2zM2OO27uLmpieGYJ5ZG4ymKzEhHrxdWHTuMfbd6KZmVmhbLsoBVEsEjhSOn761NfHm5g/OYLufh1HT7e5yPhf3JzPYy8XjEogO1DcQoifilmTQjlwqhW5VMzCKZH86LkDI89wYDBZSYrw5oo58UilIt7acZaWTi33rc/hYEkrgzoThRUdmMw2dhytZ8XMWNYuSMRDKWX6pFAeuygRVS4Vc+W8eDQqKdcsTkIhF/PQxjxe21pGQqQP9e2DfLC7Ch9POT+8KgNBJOLZt08yqDPT2uWMez9//caCn5fSzZcnOdqX/SdbSI31cyXzCgIcONXCwy8c5le3TXd5530TdruDs/V9LJ8ezeMvX5g/pBJnGuwdazL543slrjSvIB8ld1+TzcIpkfQNGd1ai7MTA7h6cRI/+csRwgM9+OGaSQwOm7DZHKgUznADhUw87hzu6SFjZ0Ej739dyS9uzuf65SnIZRLe+apyzGtR2zqI3mihuVPLzKwwth6qY9n0aFJjfPlkbw1RwZ5IpWL+8N4p17ypkIm5bmkKEUEetHVrSYvxRW+yTfj/TGAC/IcTQAcPHmTatGku8gdg2bJl/OIXv+DIkSNceeWV4772UuoBHdabKat1thS0dmv54VWTqG8brdy5GDqDlSOn2zhyuo3rliUzf3IEe080Y7U5aO/WuY67IC+CaxYlutQ6cqmYLQdrXZOX81gWPtxTRVVzPyumx/DerspR7ycSIC81mHd2nqPoG5WF8rpeXvr8DLdcnsGBU618uLvKmcD1yWm3TVNChDerZsXyu7dOuL3eZLGNGVUO0DtoIDTQg492V7FuYSKvb6sY9Zy18xMxW+1Eh3hiNFvJTgwkPyOEv39+Br3Ryj3XZPPiJ6VIxCJ8PRV09unRqGTcdFk6B4tb8fZUcOvqDIrOdvKbNy70OJ9t6EMuFXPD8lSOnG4fMWX99omju9/gZgbd0K5l/8lmFuVH8em+Gjp6dEQEa1g0JRKzxc7XBY0smxHNl8ca+fJYI1PTgvnhsnDun2rCVLMdQeTHn26azo7SIbYdd6onbCPqhn0nm7l/fQ6/veh6vvjpaR7eOJkztT3MmBTKgeIWgnxVbFyWws5jjTR1akmM8GHtwgROVXZRVNHJb344gx1H6gjwUdLWo2NqWjBLp0RiB9q7hxnSm/DzUvLLW6chEYsQi0BvslJS2c2Dzx/G7nBw3dJkwgPU425+J/DdIAhgQeCVLeUUVnTgcDhJt1WzYlmWH4XoP1BlJZeKXBHv7hBQKaQu/4j4cG/6hoz0jyziAnyULJ8eQ6i/GkEQqG0ZYGdBIx5KKWsXJJAR5++qqp5/foifszUxJfpC0h84F7oy6zBPr/XHWLYPTot45urZ9AkGxqNIvjzWwLzJ4by7031c9FBKsVjtXLMoiQ92V5Ie50e/dmzSHmBw2JmylxnvP6bRpo9GjsFk5Y0dZ0daSrP45SsXSKlAHxW3XJ5OTcsAHkop92/IYeuhOlq6hokJ9WTx1Ch2FjSycEokz71XjM7oNIRfMz8BiUQ0IcybwCWN7gEjQT7K7/WYKoWEIZ3lHz9xAmPCaLGN2Wp0Ho0dWlq6tKxbmMgb2yvwUEnHDR8BZ7R5UpSP22NeHjLkMjFpsX7UtAyMInT6h4xoVFLyUmO5+5l9gLN1rL1neNz4+S+PNZAQ4cMPrkjHUy3ndHU36XH+qJVSrpqXwKtbyymt7kYsghcfXoCnWkbXgIFP99cwKzuMQG8Fu4qaCfFTo9VbeP9r59j/3H1zRpFOJouN976u5K51WXywuwqVQsIjmybzy1un89s3i+jo0/PglXEEC71Iy98BqYIXNs+nuA12H2/kB1dNYvHUKLYcrB31OSRiAbVSilopdcXAz5gUygsfloxLrDgcjlHJvhdjSG+irnXQ9frUGF9qWga5YUUqv3vrpFvRobPfwHs7K7lxVRorZ8awbmEiFqsdX08FeqOVn/71CCaLjdrWQfoGjS4l/T1XZ1HXOsjcnHC+GklIc/9cIiKDNK5i6mcHalgz3+mBeuJsx6jnn0dheQc2ux0fjZw/3DeHysZ+XvminB9ckYFYJHKlZ56H0Wzj5S/K8NLk4uclZ1JCIFKJCItl/HTcCUzgvwX/0QRQXV0dV111ldtjnp6eBAQEUFdX9390Vt8dIpFA35ARfy8ln+5r4WxdH3lpweM+XymXuGUtvfPVOZ68fQb7TjbjcMAn+6tZMz+Bzj496bF+1LYOsqugkTN1vdxzdfaY/jHeHnISI3yYlR1KVXO/W5qCRCxw//ocLFY7BWO0cACcbejHYrNzxdx4Pttfw/MfnuKaRUl4KGUYzVbCAz0419DPM2+fGJPdF49DyFltDgScqqfIYA33rc/hi0O16PQWokM9yUsJok9r4nR1NxuWJNHWo+NcQz+Pv1zg2jhtPVjLj2+Y4oqPXzzVaQz7+3dOUtc2xJ6iJn5201TXJA8wLSOExVOjqGrqIznGl4MlrdgdzorCN72GLnwGAdk3Ws6igjXMzY3gTE0Pa+cnUt3cT3XzAMN6C0lRPmxelcavXj3u+l43zw1E+9Hj2LQXKSJObmflnM2YcoLYVXyBfJs5KZTCCvfJsqlDS/+IAivQR0Vr1zCHSlopPtfJnJxwMhP8SY/1QxAEEiN9iAvz5quCBmZmhaOUSfi6oIEVM2KQS8U8+UYhP7wqi+1H6jl6ph2lTExCpA/zJ0cQHawhNcaXRzZNJizAA7lkQvrzfcKKwDPvnKSqacD1mNlq55N9NYhEAivyo/7jlEAqmWTM5I/S6i4WTY3isxH/scwEf8rrelk2PZryuh5WzYrjva8rXSqf1BhfHrguFx9POWcb+vhoTzU/v2kqwb4qrl+RypDeTGP7EFmJAc5Ew10XlIWPrE0koOxd+hovkLSUH8QzYSr3X7GSpz9xttOG+KsRi5zJW119erw9RhvTzssNR6WQ4HA4WJofQ1VTPxnx/uwapwIeF+5FQ9sgt1+Vya9eOe62sfJQSrlrXZbL46ezT09BWYfLXFoiFogL96azz5nMt6eoGZ3RwsqZscilYg6XtroSEh3AvMkRdPToWLMgAUEQEGBi0TuBSxYOh4OeQQOJ4aOjuP8dqBXSkWQkZwFsAt8N/0g5qJCKOV3Tg0Yl4771OdS1DrjaYsdCQoS3S10CTi/CjDhn0mhcmBeXzYqluVPLu19XutZvCZHepMX6UdnY71pieHvI3Uj/b2Jw2NkGa7HaefzlAm5dncH0zBAq6vvZX9zMtIwQztR04+OpoPhcFytnxpCTFEh5XS8VdX0okgKYnR2G0WRzpaouzY/iVFXXuKTT1kN1rJwZQ0acP4PDZk6e66Jfa+KpGzORHX0Jc3M556lI/Zm9pGYvIWHpSrQ6E7OyQqlp6aetW4dGLaO734DVZufOtVk0tg+xeVUqDjtIpSICfVT4eCrGba8aHDYRF+5FbcvY30FihA8f7K5CJMDCKZGsmhnLsMGCQi4ZtX4FKKvr5ZevHufJ26ZTdLYTncHKwZIWOnrdr79Y7PytBPooiQrx5IWPSnl4Ux6NHVrONlxQDskkIu5d71TvPrIpj54BA7sKG+nq1yMVi5B/i2pILpOgN1pQyCTUtQ4SFaLh7nVZnK7ppqvfMKZNAcC2Q3UsnhqJ3ddBiL8avsUbdAIT+G/BfzQBNDQ0hKfn6LQrLy8vBge/XUHzPwmJ5LupixSCQEyIJ0M6MxoPOc0dWrybB8hJCqS4cnSs5eo5cRwodiYzScQiZmSGIJWI+POD82nt1qKUS+gfMrkiJb01cq6YE8eGpckjZsnuk3pmvD+r58Txyb4aPt1fw8ZlyayeHUdDhxaxCIL91MikIjr6dN9aRTaYrMSFefL4rdOoaR5gQGsiLNCDMIWamtYBPhsjXQCclW/jGKSQRCwQFqDG39vZerb9SAO5yf78ckMS9r4mzAM9WL2U1DqkDA6L+PJoA6eq3PuUo0M8WTItepSXiLeHnPs25PDH908hk4o5U9vj+mz56cFkJQTwq1ecfe+1LYPER3hzuqaHU1XdzBrHhHnZtGh8NHIevC6X5q5hooI16AwWnn3nJDevzuCRPx92M8hOi/XlB1dk8uQPZ6DVmQnSiBCOvuZO/ozAdOB1Ll/7FLtPdeJwOCtgc7LD+c2bRXiqZRhMVtfk19w1TN+QkWG9hYVTIrlqfjyNHVq8PeREBWsY0lt4+8uzVDcPIJeJmZsTjqdaxsd7q4kN8yI80IM/fljCmnmJvPhJKVq9mTvWTEIuE9PWPYzFasdqd+DnpSDUV3nhN/EvtJmIR7ydxP/A4+m74rveg5caBofNbuTPxfjiUB0L8yJQjvMZ/6eu6b8Nh9MU8/4NOXy0p5rmTi1qhYTeASMrZ8ZSXtdDoI+K/PQQapoHaGjXcuOqdB740yE3hWBFfR9Pvl7II5vyKB9pHdt/soVHrs/jl68cd6tgfnWsgduuzOR4eQeRQRpCrU2YLyZ/RmCqPk5s3HRWzYolJymQpo4hrDYHMaGedPbqaf/GYvfKefFE+Qiobf0MNVbiofAkOi0Gu9JzHJUTXL88FT8vBWazjR9elYkDgermfjzVMtRKKW9sr3BrLz1S2sr1K1IprOjgzrVZvLmjgoFhE2vmJ9DaPczh0ja2Ha4nI86fJdOiXH4XrV3DXDk3DkEQRlriulkxMwaRSPhfvy/+0+/DSxWX7D3+L2JIZ8ZssePrKXdtJL8PaNTOYA290YpaKf0Hz/7n8Z92/f/V+1Aphox4P87UjF6TiEUCiVE+dPcb+PxALUG+KhZNjWRebhD7iltGESVyqZhZWWH88hVn69HGZSm09+r4xUWtrF8cqmPmpDCevnMmp6q62XuiiQ2Lk+kbNGK2XjheZ5+OpdOixj3vYD8VdoeD0uoeBJxr2Itbnq5ZlMhv75xFXesAceHefLK3hv3FF9JOtxysZWl+FEunRfO7u2ZR1zqIh1LK4dNt475na/cw2YkBPPf+Ke5Zl0VepJT5Id7Iu4uR5izCnjmHvn1vY9c7fXL0p3bimzKTn73VjL+XgluvyKS730Bnv47YUC881XI+3FPJ3JwIalsH2X6kHr3RSlSwhmuXJlNS1c3uMYoNErGYq+YljFLag1MdGxPqxcK8CKZlhLLvZDMPvXAYg8lKdIgn1y1L4eTZLvadbHZ73YDWhNFs492vK8ckwGJCPWnrHmZ2dhjrFiTypw9LsNkdPPvuSX54VSabV6ZR1dSPWikhNsyLcw39vPjJWbR6C+GBHlwxNx5fTwU7CxpYkBfJp/vGDqPJTQ6ksX2I/adaSI/147Wt5bT36vn1bdPdDK+/iZbuYewOUCml6I1W/DRyrNaJgsgE/rvxH00AXYoQiQR8fL5b3kpH7zB3XZ3FsMFC74CB0AA1H++t5oFrc/H3VrD/ZMtIi5OGTctT8dHI6erXExWs4abL0tlf3MIvXipALBLYvDKFzj4DL28pcx1/QGvitW0VLJ0WzaxJoczODuPLkc2CWiHhyrnxPPFaoWuT9do2pwdRerwfK2bE8qtXj/PTzVPHTNq6GA4H7D3RwqpZsXT16ymv62XYYGF6ZghfHW3g1tUZPPvOScwXsfRSiYj7NuTgsDu4f0MOH++tpqlDiyDAraszsdrs9AwakIhF/PzGPOIU/fS++SAO84UNVlRgDLEL7+LL04wigK6cF8+fPyodVVEYGDbx5vYKVs2KZdfxRkQXkWJL8qNd5A84DVyXz4hh++F6th+p595rsvFUy9hd2ITRbEOlkLByRiyJUd6IRCJ2HG1gWG/mi4MG9EYr169I5c3tFS7yRyQSuGPNJIZ0Zp58vZABrYnkaF8eXB1NT1XhOL8SB6r+Gq5bmkxUiCcms43mLi0PXTeZ3kEDnmo5OqOF93dV4uup4I3tFTx+6zQefuEwSrmEQB8lcpmYtfMTefKNQtd3aDLb2FnQSE3zAFfOiyfUX43N4VQSyWUi+oeMPLhxMi9vKXPbnGpUUn5+Uz4xoRrksn9/Ye3p+f1J//+Ve/BSQ0Xz+AS2yWzDbLUTGqD51mN8n9f0+4RCJiEiSIPJ7Kyu+noq0OrNbF6ZRmPHEI+8cAi7A+blRlBW2zNme6jeaKW4sovM+ABKq7sJDVDz98/PjPJN6+o30NmnZ+2CBHJjPBAK/jzueYnP7SEvazOPXXTvAyzNj2LlzFjMI2b0GfF+xPmAac9f6G66kMplkcjwXv0gj1yXzbu7aiiu7MLhcBozb1qeQu+QgV++UsA9V2czpDPT3W9ALBbYeqiOIZ2ZqenBzMkJx2S2ceR0G31DRkL9PfjFTfmolRJKq7ux2hz87q0TPHjdZKqbB+js03Omtof0OD+SonyobOwnNEBNbcsgSrmED3ZX8dMbp2CxOgj8nttr/hH+f7gPL3Vcqvf4d0XXkHNuDA30RKP5/j5TgNk5djjEov+R3+J/wvX/d+/DH141iUf+fNitrUgQ4M61WXT167lxVRof762ms0/PB7uqsDsc/Pq26fztszNUNw8Azrbe26/KpLyuB5Eg4O0hI9BHyVtfjt60Hy5tJSPej6rmAW5YmYZcJsbucODvpUQsErDZHXT1G4gI0uDrqRjTK/OKOfFolDKOnWln4/JU9pxwJ0re31VFXLg3R063o1HJ3Mif8/iqoJHUGD8OnW5l3YJEXt9aTlqc/7jXKSzAg4KyDowmK/6OXrq+/BV6g5bzpQOpbyiBl91N12e/x25yPmo8vYdf3rqJrn4jP//bUbcCaVSwhvs35PDylnKXgTU42+6eefsk91ydTXVTvytgBJzEl81uJ9BHyUMbJ/PG9go6+/QIAkxODuKaxUmcPNfJlLRgXvz0tKuAAtDQPsQzb5/k/vU5VDf3u633vDVy7A4Hj92Sz8mzXRwqaXUpsNQKCXety0IsEkiN8eUP7xdT2zKIIMCNK9MYHDaz5cBpxGKBVbNi+WB3FUdPX+gkaOka5vkPS7hvfQ5T04JRK2WcONtJ00WfC2DJ1CikEqdC6N1tlWw9WMePN0/hqdcL0RutpMf4ERvqiWwkmOZ4eYdLRRYW4EHvoIGUaF/MVhsajWLc73ECE/hvwX80AeTp6YlWqx31+ODgIF5e36+U+J+F3e5gaOi7mQ7acSCXihnQmiir6+HBayezu7CJ3711ghmTQrlvQw4BPkr6Bk18vLeaviEj8RHe3Ls+h4/2uA+msWE+Y6YpAOwsaGDx1EhmZYVx4mwn3f0G5k2OYNuR+lGbLLPVTvG5bvJSglmSH+VSyExJDeZ4+ege3aRIHxrahyiu7KKkupufbZ7KnJwwDEarM7ZzdhxfH2/k5zfnU17fS33rEBFBHqTF+PHh7irKanvx9pBz/4Ycapr7yUoKdKbZAHKphLzUIGK87fS9/aQb+QNg7apHfPJjFudvYvuRelf0u1gkIJOIx42lr20d5JrFSSA4jazBOenWtgy4bQDtIwkWP7o2l9e3lfPce8Xkp4dw/4Yc/LwUyGUSLFY79a2DRAWouGFuEGoMIIjoMkqQarx4Y/sF76J1CxMpPtfJkYu+t5Kqbtq7/ZA6xm/rEdtNLJgcyZZDteSnh7D9SL2bKV+Qr4p7rs6mb8iI0ew0uvvtnTP5+ngjBqOVVbNieeWL8jEJvNrWQRwOGDZYkEpELmPdZdNj+HR/zSjja63ewpOvF/LUHTNRSv71mF2xWISnp5KhIYMzphz+7YX6v3IPXmrwGaPl6DxEIgGJWER//9gS8LGu6aUGfw8ZYrGAwwE2mx0PhRSj2cZfPz3jek5ksIadBQ3jHqOqqZ+4cG9Kq7uJC/fm/V2jI2cTI72YGiNHarUiklgZtIyfCGS3GDlb1zOqk/GrgkbS4/yxWO00tA8R6CklpuUopovIHwCH1Uz/Z79FesWThAZ4sHhqFHaHgyGdmY/3VnP7VZN49Pop7Dhaz8lzXXhr5GxemYaXh5z71udwuLSNXcebUCulLJsWTVigB6XV3Xywu4qFUyLJzwjhcEkbDgd8tKeKpdOiXePK3hPNXDYrlsrGfq6al4DNbqd30MBPNk/hq2MNXDE3ftzfy3iYuA8vXfwn3OPfBXXNTt8YqciBVjtaPfevQrA5Cz8tHUMEeo4/pn5X/G9d/++DtPp370ONXMzTd86ipLqbU1XdBPmqWDA5ArVCQlldL5VNfTxwbS4qhQSpRIxKIcFDLuLRTZMxmm04cLbOy0QCwbnhTE0LYdhgYXDYxE82T+FAcQuHS92VNftONpMe68+TrxexYUkSkxL82V3YxHXLUlxjXt+gkQevy+W1bRUu3yG1QsKa+QnEhXtR1dTPj2/I48jpdg6XjFbu2O0OEiK8+eLw+HYRB061EOCtZGdBI75eSlKifZFLxS4/notx5bx4vjrWwF0ro+n+6EnsBve9iaWvjYGCLWhyljB47LORB/VopDZ+9dnpUer4jj49/VqTG/lzMT7cXeUscH5cCkB6rB9rFyby3HvFDAybmJUVxgPX5qIzWvDRyBnSmXl9WzkKuYTIYI0b+eN23D1V3Lc+h1e+KKOivo/UGF9uXJXG9qMNnK3vxVsj57qlyUjEIpo6tcyYFIpSJmZQZ+bxl4+7vPxWz4nnXGMf+046yTWxSECtkLrtVy7Ga9vKuXPNJJ56o4hbr8jAaLJSUt2NWiFlXm4ESrkEo9lKkK+an2yegs5goaSyi4c3TkZnsKBRyzhQ0oLeaCUz3p/Hbs7n5S/KaOrQsmJGDMfL2zGarWjUMoaHjd+pJXqikDGB/x/xH00AxcbGjvL60Wq1dHd3Exsb+390VvwLDvMCFpuNHUcbuHphEtuO1HPPNdm8vKWMg6daUSukiMWCW3JCR6+egjPtPLwpj/rWIdp7dSRF+qDVm8dNE3A4oH/IhB0H912TzbnGfsIDPdhTdGrM5wOU1fZy5bw4Hvt7AQunRrJ+cRJLp0Vjsdo5dqaN/cUtpET7sm5BIk+/7ZSc2u0OdhU2sG5REqere/hobzW+ngpWzIjBZLaiUUrJTwtmd1ETH++tdhESA8MmnnqziD/cO4e+IQNSsYgXPi6lvUeHp1rGU6u9XJUTt6snkSH39EUlMfDaHSn0GgR2nOrj8JkujObxI5fB6btz2xUZOHCwamYMVc0D6IyjTSPPNvQxsK2cVbNiSYzwxm4Hrd7Ei5+coaZlAIC7VycibzqLfO+bWEY2mv5qb7xX3Ut2gi+nqvuQiEVM/X/svWd4HOXdvn3ObO+r3nuzZVuSe+8VNzA2YHoLPUBIDyEEkpBAQoAkhBB6r6YYF1zB3ZZ7lZt679L2vvN+WHvtRRJ5nvzD85Jkzy86jp3Z2XtmtXPf8yvXVZxMW6ed4UUJHD3bGXYvq+7wMiw5B29rTZ/PB/DGFaDzWVg0REkg2M3skhg6el3hdpO2bid/ev8Q188bDIBSIUMUQ4LhQ3JjkYlieKz9cbK2m/kTslDIZKiVcuJNGuLMGlZ8cbbf/XtsHnpsbhSG//eFdSAQ/Jc6M/y7uzzEGJQkmDV09PZ9GJpUmopKJvzDc/xXX9N/FpU8gMLvRPK6EJQafHIdHp+I76KfmVIp71N27nD5iDGo+2gNnCfGoMbuDB0kcC7oa9QpuXJyKiXpKlSiRKxZi2X3B9haa9CXTMM0ZhFd619C8vcNWioKxiPY1IwbmszhMx0RVYOfbK3k/quG87vX9jJ5sIHeNzb2f7IBP/KuSg6dlrNqe+Tc1G1xoVbJw/pqvTYPSTFa7lgyjF+/Uh7hcFjZ2Mu4ockU54QC08erOpk7Ljv8IFPTbOXKWVogpB80e0wmQ/PiefzuichEgc5eN2nxBlweH+OHphKUJGRyGZ6vsaD/Jvg2/P/9J/Nt+Y3/v9LW7UStlKGQycK/5X8FSrkMgZCQ8Ddxnf5drv//6xjlwLjBiUwclozRoKGnx4HfH6Q0N45BWTFICKHEhAhCUMLlCt1n1Ofb+QJBApJAa6+XJ97cFzYhUchFLp2Sx7XzBvH2OXcvALvTh1oZ0mz66ItKSvMTkAj9nzx40xi2HWpEp1Hw1xVHmDs+i9svG0ogIKFWybA5few+1sLccdnc84cv+tWFSY3X0WV1o1bJw3NIf9idPjKSDKzdWcP3rh7BB5vO8MNrR/K3jy84NCrlIstmFiAFJW5eWEyG2E6bvX8hbHftMUyjF2ABBJUWQ9kcvGd38surS3nw9QqyU42YdUoa2h34/AFO1Q0sqN3S5aAoK4af3DAKhVzkTH0vf3hzfzgAs+1QExqVnORYLVazhgOn2jlWFdJaOl+Z1R+N7XY6e13MHJ1JVoqBCcPS+NlzO8PXsbXLyanaHuaOy2LxpFx8/iArdlQzqjiJJ++bzOb9DVRUdzG6OIkHn9sZPm7s1+gWQWg+1KjluL0Bth1qYlBmDLcuHsqhU22YZU40fg92j59uh8QbW5txewPcuWQYSfE6Nu+rIzvVzBUzCpHJBBrb7bzw6TFuv2wYNc0WGttsLJ1egNvjR6Xw45OJ/xa/2yhRvkn+rQNAU6ZM4fnnn4/QAlq3bh2iKDJx4sT/n0f3P0cmgkIm48CpNtIS9SyYkM3+U23cvawEtVJOrFHN/U9t6fM+f0DizbUnefCm0by78RRLpxeGb/4DoVLK+OM7B7hnaSlxJjUGrRKdZmALSpNexcpt1TxwzQg+313LA89sRZJCE/e8cVn8+QfT2HOslT+8tT+cwTDplcwZm83Pn9sZkdXYdbSFa+cNoiQvnkde2tPvZzrdfk7Wdocmtmd3YHV4UchFygoTkHm6+OrZCUo1iZc9gO3wJlpf/j4gIcjkXFU2l6vvnY8lqBmwbU1zzjpekuCh53ezbEYB8zNi0KhkfEJfR4aWTgcb9tSRHKtl/Z66iEqoBLOGYqONntUvRrwn4Oil68PfcNvSx3jc6uHHl+eha9rJNarjBGMT8U+dwIq93Xx5uJ3PD3Yy6ep7EG3tSMEgAVs31gPr8HU3oy4YjVYl0vXWz8I95EUJGfz6ijv4/epWqptDr3X0uFAoRIqyYlApRfYcb2XP8Rb2VrTy1P1TUCllA4oYGnRKtCoFoiRx7dxBKBXi107YQEi7yKhGiloM/UtRigIP3zqWX79STvtFejLD8uK4ft6gfxvBbb3MjXXrO3RW7AApCKIM/bBpGCZcgT1woQzbG5Do7HVj1CmZOy6L/HQzMlFgzJAknnn3UL9ONJPL0vjzB6HgtS8QICfVyA8XZyDueBnv3jO4gfbYFBIX3Yu3ox5n1SFkOhPJyx9CEOUEHD14u5qwHliPIIgYcocxY+cKpsVp8V83hd11ft7cHGod6LV5qG2x8v1rRuByWZG+ppJIcHSj06T1eV2pkHGi6kLWNTPJgC8QYM2Omojgz3n2HG9l2ohQ5lOvUUbopCnlIsGgFJoblg/ng01nwvbIGpWcRZNy6bV7KcmLp7GtF7VKhiFO+w++rShR/v+ho9fVr9D6/yuiKKBRy7E6/vkq1Sgh+ntg9gcl7C4/G/fW02v3MH5oCoOyYlCKQh9HUHdA4hd/3xURWPf5g6z44ix3Xl5CZpIhLBB93rwEQi5bvXYPs0Zn8tGXZ9l6sJF547Owu7wsmpzLXz443GdcCyfmUNXUy9ihyX2qfwQBrp5bxPsbz5CeaGBoXnyfCufzDMuP50x9D15/EFGEycPTQCDc8iSTCWhUcj7fVcug7Fg0QScBa1u/xzqPqNISN/tmZKYEHCd3IHndmHRGXrhnGD2Hv0SwNOEfORh/ylCqewcWLhfFUAXt5n317D/ZVysUYNTgJGwOL2aDip3nqqxcHj/6r9HDkssEgpLEsx8e5tkfTueZ9w71G0Rbv6eOqcPT6Oh1hV1sb79sKE63j7LCRBq+0sLl9v5jHS6TXsWv7xjP9sNN9No99PZYmRDXRfeqv2O1hardc2JT+OVlt/Pnzb387eOjPHLbeIw6Nc9/dDT8/JOXbuI7i4ey/2QbZYUJxJk0iKLEyVorY4uTovo/UaLwbx4AWr58OW+++Sb33HMPd9xxB21tbfz+979n+fLlJCUlhfe78cYbaW5uZuPGC1nbY8eO0dTURHd36KZy5EiojDI2NpYxY8b8n56HWiXH7fHwkxtG4w8EOVbdxdxx2TS126mo7sagUwyou1PfZsPp8bN0eiE7DjeRnWokL83UrwuDWa8ixqCix+pBFAWefvcQQ3LjmDEqkw829W2fgJDTjSgIvPTZMU7WXshG+PxBVu0ItVs5Pf6IQM+csVms+OJsv4LPb687xZjvT/vayhyLPWRTaXV4WTItn+KcWE7WdKNMzOKr3d4xE5dh2f0p7oaLeskDfuwH1qBHoiVxBjNGZbLlQAPjhqYwviQl7O6jVsrp6HGy/XAzDpeP19dUMKY4iRsWFIf1NC5GEGDZzAKUClkf962FY5Lg4Lv9n1DAj6btGA8vG4rr00ewui5abBxcw/K530WlSGXZ2FhsX76Guzak36SISyNm2jVIfh/K5FzaP/59OPgD4OtoQFj1W+5f+Evuf/FCO4rV4eX+5cM5eKodhTy0gAgGJVZ8cYaZozLCYrFfPbdJpamIUpBgUEIU4OXPTnDr4iFoVAMHCJPjdNHgzzdAMChhUMn4zR0TQgshe6haRKeW/9tYwKtlPiybX8F5sa5VMID9yGYkvw/NlBvwBORIokB7j5ORgxJZOCmHFZvP8uHmUNVZRlJI52zd7lr2nQwtrAUBrps3CJ1GHg6KbCiv45FrirB9+Eu85xaKgkxB/JxbaV/5J/y9FxbltoMbMI1fQtDjxNNSSeLiexEUKto+/C2Bc+/l2BdMGLmYwPRhvPNlA0WZMYgCNLTZSdQEiIlJxt/Tv12tlJhPy/bIsv0YgwqvP4jyIiei2WMz8fqCfe4lF3O0soPCzBjGDklmzc4LlYGTytIoP9HKDfMH87ePjkRUSbk8fj7YfIbrLxnMlwcayE4xhq9blCjfRjp63Zh0ym/k2LqoFfw3giQIbDncxJufX6jc2X2shaRYLb+6fTwXP+rL5SLlJ9oGdHdavaOaOWOzeGXVCbRqORNKUnnkItFmURT4w1v7uWp2EUunF2DSK/nLB4fJTTPz0xtG89n2KqqbLMSbNcwbn01uqglRFLh6dhFl+Ql8vKWSHpuHwkwzl07JY9O+ehrb7TR3OvjV7ePZdijUOiSKAmOKk5hYmopaISchRsPOo80kxmiIN2lYt7uOw1/RmRxemMB3Lh2K6HMh2/MO8uGzBrxmgkKNoFDj7WzEtvHV8OuOU3tQJmUTM/kq2lZ8Aqf3Imr0jF7+KPEmDZ2WvpXA44YkU9XYw00Lijl4qr1PTig7xYhOLUellPHyyuNhmYfmTgcZSYawntJXGT8slQOnQvp1PTbP11YL1bRY2XaRfpLF7kGpkLF2V01IXuEibE4fWrV8wPVkSX48VY29+PwSIwcl0drtIE6w0PHh43CR67GvuwX/Z7/j7st/zcpDNhrabGH3zPNUNVp46t2D3HtFGSa9ikdf2sN3Fg/hpZXHKcqMIV4/8DNVlCj/Lfx7WBgMgMlk4vXXX0cmk3HPPffwxz/+kWXLlvHTn/40Yr9gMEggEDnxvP3229x///08+uijALzyyivcf//9/OUvf/k/G394fJKENxBkzY5qnnzrAB9/Wcn3ntpCjy1kD6lTf33UXC4TeP7jo+w42owoCFw/f3CfbJpaKePH149CpZAxf0J2uOz1RHUX2SnGsAbOxVx/ySAkSSIgSRHBn4vZtK+eCcNSIl7LTzdzfID+YoBTdd0UZ8cOuD0z2Uhti5Wr5xTh8vh57NW9fLylkiPNfhRpgy7sKIgoEjIigz8XYT+8gdI0JVfNKuDJ+6ag1yj4yweHeeKN/ew80kxmsoHCzBiOVl6Y0KeMSOeRF89VA03IRqMKxUjz0kz8+LpRlB9vxe709pk8UswKfN399zYDqAxmfFtfIej6aqZJwrPpeW6anozr09+Egz8Avq4m2j95CpnWSMfKZzCNWtDnuJLHibLtOIWZMeHX8tPNyEWBXruH7BRj2Jxr97FWRg5KIic10jlPEOC+K8to6rBT3WbHKwls3t9AXauV7YeaWDo9v99zGlOcjEYZtdb9pggGJeRIxOuVFKQYMahk38rgj0wm4gd8CAjihSlF7ndEBn8uwlGxA0XAiSgKeAMSFruHoXlxPPXOwYh7R0Objcde28vVc4q4/bKh3LFkGA/fOo5AUEKvUfDM96fxwNXD+c7iodDdeCGAA+iKJ2A/tjUi+HMey+5P0BWMxNtWS+v7vyXodhJwRAbNvQc+Y1KeGq1Kxrzx2dicPuparNRbBGTjru73vOTxGbQHTREVBxqVnLuXlfLOulMUZcWEAzFxJg0eXwDxa9zzZKLIoKwYFHKRpo7QvSMr2cDksjSOVXahVMgGbJFbtb2azGQjapUcrz/4H6EVE+U/k/ZeFyb9NxMA0qrkWJzRCqB/NU5vICL4c562bicrvjiLcJFDmvgP2s+bOuwkmDWMHJTIT24YzaurT4QriGKNahwuH25vgNfXVPDUuweRy0WaOx18eaCBv39ylCG5cdyxpIRZYzLZWF7H2t016DRynnnvEJ/vrmXBxBwevGk0t182DIfbx4RhqVwzt4h7ryjD5w/w4I1jmFCSwk9vGE2sUc1zK47y2Gt7efrdg1wzt4gfXTeK6mZLn+APhIxHqpssGOUeXGf24m4+iyZvRL/naRq3mICjB9uhvi3E3rZa3I2nUGcPAyDosmNZ/3d+ddMwZF+ZI1LjdSyfU0S3zUNbt5M//2A6k0pSgVCV/4KJOfz0htHEmdS8tPJYhFA0wNpdNfzoupF95p70RD0zR2ew/ZzLbX8GDBfj9gQiEr0p8XomlaTh9gaIN2mQf8Ul75OtldxzRWmf1xPMGi6fns8Lnx4nwazh758cpaOjF3f5x1wc/DmP5Pciq9rF1NLUAZPXVoeXtm4nKqWMbqs77Ni37XATcnl03Rolyr91BRBAXl4er7322tfu8+abb/Z57fHHH+fxxx//hkb1v0MlEzlW2cmxi9oDghK88OkxTHolv71rIqLQf9dHQYYZf0AKR+kdbj/Hq7u48/ISeu0e6lutJMVqyU83E2cK9eDOGJWB7KIHtWfePchNC4ewYGIOFTVdqJVyJpaksm5PLb95dS/XXzJ4wLH7/EGCX3ko/erN/at4vH4umZjDiYsEjM+TFKvF6w2Ql2YmEAzy7obT4W3Pr63l19ffguHsOjwntyEqVH0e2iII+JE8TnxKPc9+eDiiKqqqycIv/r6LX90+ngSzhvYeF6IACplIZ6+b372+jzHFSdx3ZRnJ8To8Xj+HTrdTnBNLWqK+T1tZc4+XjNhUvM39T0aymOQBt0kBH4HOOoT+UvRSEMveVagzi5Hpzf2+X95xhtS46Zyp76EoKwZREHj4hd3ctbSUjeV13LxoCC9/diJsy3nr4qGoFDKqmiyYDUqyU0xsLK8LCzHGGtX84taxFGXFYNAqkYkC180bxGfn3IpUChmzx2Zy2ZQ8xGD0ofL/gm9jlZUgCPiAVTtq2Ly/AZ8/yPhhKSybkY9WLhK09xXoDyMF6e3qoUOmRBAhJ9XE9sNN/bZqZCYZsDm9JMfp6LK4kSQJo07J9iNNfLG/kd/eNYFDp9sZF4hs29TmjaB91cABfVfdCVQp+XiaTuM4tQtdwWgcp/dE7COv28vD31lE+fEWJGDVzmr+9P1pfLnPwoy59+Hb/Q4BaycIIqrCcRinXkNHp8AdS4bR2uUkNV5HnFnNexvOUN9mw+70ceP8Yl5bU0Fnrwur3RMWd+6PKcPTQuKWBxtYMjWPwswYNGo5Xl+AB64Zzpmv0YjotXvQqOSoVXI27a3ntsXFQLT0Pcq3i0AwSI/Vjakg4Rs5vlatwDqAEUSUfw6ZTOzXDOQ8Ww42smxGfrgKKBgMUpBhZvO+hn73T0vQk5ViJDPJwO/f3I/jXCuPUi5yx5JhEevAueOyaGizkZagp7bFSo/NE64YPc+0kRn89cMj4XXx+bXfD64dyYrNZ+nsdRFn0mBxeLDYvejUch67ayIvfHoswlijrtXGH98+yB/vn8KWA32dws6zbnctw+aFknC9uz4h8dLvITfGYz+2BcnvRdQYMI2ejyIxG0fFzgGPYz+xA/P4y3DXhswQvM1nMAseHrplLJUNvfTaPQwvTMAXCPKLv+8KO7OZ9SoevX0cs8ZmYj+ngXTPH74gM9nAT64fwyurj3PgXJtYZpKBmaMyqW218tT9Uzh4up1Oi5uCdDOiKPDUOwfDItcWu4ehuXH9JnQFAXLTTLy1LpSAnVCSQpxJjU4j58fXj+LwmXZuv2wof/v4aHitfKq2B6O2kacfmMK+ijY6LW5yUoxo1XL+8sFhHC4f68trKc6JIzteSeBI3YDXSuioxDB4brhtsD/q2qyUFkY6twUCwWg1bJQo/AcEgP4TsLl8EQLPF2OxezlW1clNC4t5ZVVFxDaNSs7Vc4qwXmTP+eKnx7hxQTH+YJDmDjsxRjV56WZijGoCQQmH24c3ECTRrOG+q0pZs6OW0cVJJMdp8QeCTB2ejtPjY+fRJtbvqUMuEzF+TWm2KIQm7wUTc+ixuSkrTMRsUFKQYR6wdDQ90UBbl4Mb5g/mw81nw+Wg510MXvzkKA/fNp7XvlLW6fYG+NlrFcwoG838JXPRqURksq8TNRVwBuR09Lr7bYmTJHhtdQXLZxfx5w8Ohx5oz2U8Eswapg02kKmyQG8HCqUBkypUVisTRcYNTWH3sQsVP6v3tTHu0iXQ/ETfUcgUSLJ/kN10O0Ds/+foaa5EN2gc0gDBloAxhd5OL+OGJnPzwiGs3VVDa5eTo2c7yEgyMCgrhl9+Zxz7KlrptXtwuHykJegoyDDz1ucneW11RUQwq9vq5o9vH2D+hByefvcQE4alMHdcVjhwZNQpSU/Q4h+gnDvKfwc+CX750p4Inagv9jdQfqKVJ++djFb19ZozHhT8/Pld/OSGUejVin4FL/PTzVw1u5A/vnMwIjg0bmgys8dk8fnOWlo6neSnxyC3RFYiIooQGPj+IPm9CLLQb87TXIm2cDScjtxH9LvYtK+eacPT2XKwgUWTcpGCMKokmze2VjF1zPeI04Iol+NUG9lfYaOt28XkslQmDAu53dS32bhqdiE2pxeDTsHhsw5+cctYKht7SU8yMKwggRNVXfTYIh9S50/IRgDcHj/D8hPw+YPEGlVsKK9n1fZqYo1qrv5Kmf3FaFRylEoRl9uHy+MnGquN8m2k2+ohKIH5G6oA0qnlNAyg8RLln0MQGLAtHEKJQUkCzmtABySG5cUP2P6zaFIuH2w6w7QR6cjlIk3tdvIzzBTnxPLG2pPUtlhRKUKVmIkxWt5Zf5plMwr61f9RKWUUZpgjnFfP88InR3nsrom8uvoEh06HqnmyU41cN28QHl8gIvhzMcerOgfUTgRw+wKg0Jw7WT/tnzxF7OybSbriJwQ9LiSfB9uxLXi7mpD8A7cjSn5PeE4Kn49cIlG0kJbhQWs0crLVzrMfn4movOm1e/jta/tYNqMg7AoGIbOAd9afYsbIDOaMyUIUBUx6JU+/e4iWTgcrt1bzxHcn8dLK4+w+2hwxB4lCKCF786IhfSzqAa6eU0Rbl5P7rxxOTpoJh8uHWiXD7Q3g8frRqORkJBl45oFpbDnYQFu3k/x0M2OKk3nuoyM43X6MOiV7T7SERcEBPN4AOrWCDpufIlMCWPtWXQFIpmR6XUHizeqI919MVrKRfRVtaNXycNBnUmna/8oBLEqU/1SiAaBvAYIgfK1489HKTmaNzuTxeyaxekc13VY3BRlmRgxK4s21J7lkQnbYMSgQlHhl1QkMWgXD8uLpsriZUpbG1kNNfLj5TFjMLdao5rtXlPKDa0bwwsrjERbKQ/PiuHbuINbuqsXp9mNzekmJ09HS1VeIddywFAKBIAsn5uDy+HB5A+yraGP57EKeeGM/3q+Ix80Zm8mRs52s3FbFqMFJ3HtlGVq1HKVCxuHTHby+5gS3LB7K/oq2Ptck3qxmaE4sroDEn9c0MG1EBiOzNChiU/ptv1Llj6a2V6Kisf8JBEKZobx0c9jaU6OUk51i4KeLUwls/DO+8+0joowRpXNQ6xZzqtXKdfMG4fcHw7oknb1uTvQaGDX3dixfvIHkC01IMn0Mipn3UNstYTAl4Lf0PxZFYhaBAZwjZHozQa8bsb8HalGGqWQqNw8xsa+ilec+OsLkspAA7UdfVvLkfZP55Qu78fgClBYkoFUr2LSvnldWneB3d09k+5H+Kw8a2+0kxoYWNLuOtZAcr6PmXAn0Mw9MjQZ//suRyUSOVHb2KxLucPlYs7OG62eko0zOxdva12ZXmVHM/vrQb+TFT4/zveXDiTNdEIXWqOQsmJjDxNJU2rudfPeKMnYeaaKz10VirI4em5ujlR1MG5mO2+On0ORGaTQhKNVI3tBxva3VqDOH4P6KXft51BnF2I9tDZ2PPoagu++5+DJGUeQwo1HJ8PiCtPdYeeCZLfzp+9MZMyQJQa2gMyjhtPk5dKABSQKb08uzHx7hpoXF/Pa1feEy+nizmh9cM5KaZgtf7G+gtCCe1AQd9a1W7r2yjDMNvRw924FOo2DBxBy8vgB2t4+/fXSUtu5Qm5dMFFg4KZfH7pzA2+tPkRKvQ69R9Dt/zBydQaxRzfrdIbHOQFT4Msq3kPNOh9+ECDSAVi3H9g/MMaL87wgEgowanMRHX1b2u70kPx6FLFS2LpOJNHY5eW1NBd+/ZgQvfHos7Fx63kGr1+5hy8FG9lW08pMbRrN4Ug4EJXwBiXuWleJ0+89VM4qcrOlh8jnr8VsWDeHtdafCFSvxZjU/um4Un++6kFAtzokl6fyccbaDjeV1jB2SzA2XDEYURWpbrBw504nJMHAAct/JNiaWpvabSAQYWZREVWeQ1PPznRTEXXsUX3sttsObw/vJzUmYx12K83R5v8fR5g7H3XghCyE3JSBZ2pHvXY3MnIDD1k16IMBvb7iZB984GRGUaet2Yjao+lSn7znewpThaTzxxj6+t3wE7244HZ63XR4/u442M2dsFs9/fDT8HoNWwXevKONUbQ8HTrXxo+tHcbyqi4qaLsx6FZOHp9HYbic1Ucem8nr+9MGh8Gdmpxj50fUjiTVq+Hx3DcGgxDVzi3C4fejUSvacaCE1Qc+mvfX9XoMRRYl8vruWA24/k5csgoa+gTwQ0A+fi1fUcPn0Al745FifPRRykeGFCfz906Pcftkw3N4AY4YkExs1LYkSBYgGgL4VKBQySvLjByypHZoXz+Z99cyfmENOipEl0/J5a91JPttejSTBmp01XDN3EH++6CZsc/rYdayFa+cOorrZwjvrI3u1u61unnhjP4/cNq5PX/Pxqi7eWneSB28aw6urT7D1YCPfv2YET71zMCIIVJwTyw3zi1m5tZIN5fUEghKCENKGKcmP5xe3jmXLwUZO1nRjNqiYOToTm9PLa6tDN/T9J9vYf7KN39w5AVEQKMqOIc6s5oVPj2HUqRhdnMTRyk7UShk/uDyfNFkX8uotIJMjHzWdloDIqv1dXLXgh7DmyYggkCJ9MI7SZVgtIrFGNQOhUspwe/38+o7xrC+v4/CZdn5+ZQHuFb8g6LIh05lQJmWjTM5DlZyLzNvFsBQTvf4AmckGLpmQjUohw+sPcqa+h5eqjdx+wx+wdXWBKNLpUdDa5aM4TU7M7FvpWPEEX+1p1pdMRxBlIZekfjCUzUJuiMNv7wVBDO8nKDUY5t/Hx/t7+fDLQ+H9p45IDz9MVzdZwouE8/bT5/lHzigXOz9s2FPH7UuGMWdMFgaVvH9btSj/NUiEeukHovxEK6OKE0mf9V2k9c/g67iw2FMk5eIddzPvvR4qHe+2unF5/Mwancn6PXUYtAp+cO1IVu+o4XRdD4IItc1WZozKYM64LD7bVk1GkoERRYkkxmqJUXiQmk8iKbWkXv8bbMe3YjuwHuvhzSQu+i5tTWeQApEPgOrMIQTsPQQ9ocCKoXQGXRtejthHmVaEMj6dXXtqMOpVbL/ofA+dbcfu8PH+APoDi6fksqG8LkJDobPXzaMv7eEnN4zm0Zf2cOBUOwdOtTNhWArJcTqG5sYxqTQVry/AC58cY8m0fP749gFsF9kUB4ISK7dVYdQpmT8hm1iDkkduG8djr+6NyN6OH5bCJeOz6ba6qWm2sGR6ftT2Nsq3kk6LG0EAo/brtQ7/WbQqBU63H38g+A/b06P8z5AkiDepKcmP42hlZHuQQi5y88JiRCk0T3gDEn9dcYTmTgevra7gypmFmA0qAgEJmUwg61yL78hBiRg0ClRyAd+5KiG/IPCbV/ficPm4fckwbA4vR852olPLGTk4idx0E6UF8bR1uxCE0JrmnXWnmD8xh+Q4HYOyYjle3UV9m42MJAOXTcmj0+JiU3k9g7Ji+fsnx2hos/LgTWOoaR5YTuBUbTf3LCtlzc4auiyR1SbxZjWDsmPYfqie2xfeh2BtC63nZApEhTIiAOTvbUNQqlEmZuFtj2xvElRa9CXTafvwvDSFQOyMG5DpjKjSi/B1NaJKzEaTW4K98ktumDmGv62JTK64PH7kMjFi7RYISmhUch66ZSwbyuup/koQa+uhJu67soy7lpZg1qtQKmXYHF5auxy8dq6K6nh1FyX58Xzn0qGs2VHDsx8cZtTgJDp7XX3WAbUtVn79cjlXzSoKJzPe23gGlUKGyxtg55EmHr51HHuOtfRJXKQn6jEbVGFXtl2NCiZMuAbPng8gGPqfEBQqVNNvY91xBxNGJFCYYWb22Ew27a0PL0t1GgU/uX4UFTVd3LRgCDXNVtIT9dxwySDkcgEC0fVrlCjRANC3AJfLyzVzB3HgVHsf0bWUOB1mvYr9J9u4cmYhyfE6rHYPcpkYvtlVN1k4fLaDn94wmtU7qqlqshBn0jBvXBYFGWaevagk9GI8vgCHz3RQlBnD6frI6pMT1d0EgxKjBychl4ms3VXD5dPzMeqU2JxeslOM+ANBPttexee7L0xkkhR6+HN5/JQVJDB/Qg7ZyUZGDk5k9/FW3lx7QbBZEGDZjAIOnm5ncmkaP/3rjvC21i4nV80qJNao5vuX5RJ78BV8zWcu2MBX7CCmYBzFaQto9emxj7yHNH0AyWVB0MVyosXPRx9Xc/tlw8hJUQ2ooTR9ZDo+f5APNp3BpFeRn65HY2/EFQwQv+BuBFGG3BSP41Q5Hav+guTzICg1GEcvpDCxjF+/Uk5ZYQJZyUY+3RrSIBmUm8imfZ0kx2q5b14KSRXv4t5xFGfxRJKu+AmWvavxtFYjN8RiHD4HRUIGUsBH/Pw76Vz3IgQvZOp1Q6agySzGdvRLZPpYYm58EpmjE5tXoFfS8+KXLXTbbWSnGGnqsOPzBzlwsp0huXE0ttv7LFYuRi4TB3SCEEUB1UWORXaXj8wkAzp1NPgTJfTbjTNouO/KMnLTTQiEHEM2lNdR2dCLUiGjusnK09uquOuSOxiaKsPS0Y6gi+FMR5CX3jgFgkBumgmbw4sgCMjlAjcvLEallNPT0cXNE/TI6g9C0E9w0khOdEjsq2hDFAVWba9m7c4anrt/DP7GY/Rue4+AoxcEEd3g8aR9548EvS4EuZKU6x6ld/cnuOtOIKr16EumooxLp2PVs4CAadxiFPEZ6EumYzu4AUGlRTZkFr2Jw3n02QO4vQHmT8yJOP+XV57gmQemsm5PbViH4Tw6tZyxQ5L5xd9397lubm+A5g47OalGappDjn67jrWw61gLU0ekM6k0lTU7qok1qfH6gxHBn4tZtb2aX90xnsNnuyjOiQ3Z03v8+PxBkmN1dFqclB9vISVBz/3Lh6MYOL4cJcr/r3T0ujBqlWGR1n81WnVomWt3+b6xKqP/RhwuH3PHZVOcG8+X+xuwO70MzYvnkgnZ7DneyryxmRCQcPsCNJ+rOGnqsEe0KAH86LqRDMk0h0Wfg+cezmVykQ3l9bR1O/nFLWN5+bPjEXbtda027ry8hJ88u73PGqbL6ua+K8t4+IXdEc5ja3fW8OBNY7h2/mBqmi1U1HRx19IS3vz8JHdeXjLgemhyWRrr99Ry75Vl7Dl3vxYEGD80hRmjMolXe8lJr6Xjzb8geZwIciX6YVPRD5lE7Kwb6d78ZvgG3LXhZZKu/BmumqPYDm9C8nnRFo7GNHYRPTtWgEyOKrUQ89TliEi0vvMrJP+FOcay/3MSF32XEXp9xBgFAQxaZR/LdrNBhV6r4Od/29Vv+92grBisDi/7T7ZRkh9PZ6+bgBSkqf1CsleS4MjZTlZsPktZYQJbDzUyoSSVP759oM/xILR+12nkzBmbxZtrT7LrWAs/v3kMj7++j0BQ4sWVx/nx9aP48kAD+0+2oZDLmDk6g+kj0/nyIlexNzbX0zw8jUVLHsMY7CUgCfRi5M2drcyZkMDv3zxAXauV+RNyePjWcXRb3Zj1SmKNGp77+AiLJuWGEyqP3DYOnz+I0+0nwaCMLmOj/NcTDQB9CwgiYNTKeeK7k3h9TQVHKztRykUmD09nclkqz310hO9fM5IzDT2AwNpdtdy1tISCzBhWnxPmrWm2MLY4iXnjs3F7A1gdXtaX12HUK2nuGLj/vbnTEdF6cTF2VyjDLUkhTZzkOB0atYx4swaVQkZQgnW76/p979HKTm5eWMyrayo4eraT9zae5qnvTWXckGSOVnbi8wfJTDJQUdNFbqqJjl4X6Yn6iAn+758c5Wc3jcbctBtnPwLKvrN7yC+YwvMberhxQTGvbzxDRa0Ft6eLMUNSuGtpKc+tOMK4YSncc0UZf/3wMEEp5Oi1eHQ8KXFqTEY9PV6BzGQDq3fU0NHrZNSQZhIvvZ+ere+hyR6Ks/IAjpO7wp8reV1Ydn9C0Zx4/nRHCV1WD6bYWM429ODxBslNNfLYzSUofHba3vtVuLXLUbETV+0xDCXTiZt9MwSDIJPT/cUbeBpPox00npRrH8VvaSPodqJKLcDv6KF1xRPINAaMc++koceHSpXAjhor3T1d3D47DbGzEnxuhKQCDjcFONvuwxcI0tHjJC/NNOB3f6Syg0vGZ7P6Invp80wfmc6+igvuSUmxWk7X9VCcE4tOEc2i/rcjCgJLZ+Tz9vqTvLr6BNddMphYg5qizBgmlqSSnWKk1+7hmrmD+HB3HbJZRfxtdTW99i50ajk3LxqCSimjvtVGYoyGpFgN/oBER4+LpROTce1Zh2/bJsLL1UNrGJI/hrj8JQRz4yg/3kJ+uhFZ6wm61j9/blAyZFoDQbcDT0slitgUXJUHUKYWEDvzRiS/D0GUEXDb8TScImbqcpSJmThO76X5tZ+Rcu0vkQ+ayuEaG+sOd3N8Tah1LCPJgEnft7R+fXkdv7p9Ah9uPsPuYy1IksTIwUlcO3cQT797MPxA81XqW63cOL+YF1cep6nDjtmgYt74bFLitMQa1VwxqxCvL0hFbf96FBDSfABwun2s3VWLWiljxsh0/FLI2VGtkjF2aAoOl4+WTgdatYIkY3TRG+XbR0ev62t1Bv9f0Z0LAFkd3mgA6F+EXC6y50Qr7208w6DsGBZPzkWtklPV2MsTb+zH4wswY1Q6CsIyQAMf6ytOVIIo4gsG8fkkuiwuxg5JYl9Fa8TaEGDR5BzW7KzuN2CzcFIuT793qI/tfCAo8dS7B/ntXRP4cHMjKoUMs17FVbMKWbWjmruXlfLXFUci7t0ZSQZmjcnk0Rf3sGp7DWOHJHPTgmIG58TicPpoaOnG1LsD98FV4fdIfi+2Q5sQ9THocoeTdusfCDh68Vk6UCVmIUkSivgMkq58kIC1G8fpPfTuXknMlOWoJl7H5kOtzFPq6Fjx24jgDwBBP50bXibh6kciAlaTy9LCTpFymcC4YSmMLEoiI0mPXqtAqRBxfUULXSEXmTc+G8W51uKf/GUbGrWC3987mT3HWyOqXiGUrPD6g/zyO+PDle8DYXV4SYnXs/t4qDLfHwiGx9rQZuPXr5QzqTSVGxcUEwhIZCTrWb+njrx0M7ddOpSPt1TSZXHTYvGDUo1PnkxFXS8f724g1qSmoqab2pZQEmXNzhrW7KxBp1Hg9wf53vLh+HxBCjPMVDdbmFiail6jQCYKrNlVy7WzC3G7o22hUf67iQaAvgUoFSJef4B1u2spzIxh/oQcBCF0w4wzqfnO4mHotQre23iay6flcdWsQg6camPckGSKs2MxaBUcOdvJW+tOhTMt5+nocZGeaAjfKL9KWqKeAyf72iQDxJnUSBLMGZtFaUE8n26t4sPNVhLMGhZMymFITtzX9tI2tNs5fc4+3uH209hu55n3DzClNJ1pI9NRKeWY9CreWncSuUxkybT8CFG/9h4XNdVNDD3b1zLzPPLTm7li2o10W9wMLYhn2qh0kODQmXZ++9pePN4AR892kJtq5OFbxxGr8qLrPIl733MEbN0EkrLJmn498RPS2VheT1evG0XGEFxVu/G21RA77Rpa3/9t5GeaEoi/5E7sFTvgy9eJkySUheN5cOllyNVqRK+DQGcbPq+LhAV346w6hHX/54BE0GnFsmcl7sZTxM26CXfjKWJnXIevo5GAy4bkdeG3W1Al59D8xs9RpeaTtOQH+O099K5/Hk1nI4qYZJZMuhI0Zrre+xnBi1L7ZfljmTjzRuotAlnJRuJjNKTE6/rVaokxqJlQkoJKJWPdrlocbj9atZy547JITzTw7IcXvovLpuax9VAjpQXxfY4T5b8Ppy/IL14IuZD87MbRvL3uFFVNFuaOyyIpTscz7x2iptlKQoyGpdPzMRuU3HHZUP70wWF+cM1IXll1gvo2Gzq1nKkjM0iJ19Pe7aCsMB6xtwnf8U19PtNXuZfCwWORFEZee2A4KoVIx3uPIsiVmCctQ5mYRdDtQFTrkfweOlb/DbnOhCI+nYDTivNMOQF7L/Zj25DHJAHg72njfEumvWIXnoIZPPnxBV0LrVrOPctKMWrl/PkH09h5pBmHyx+2cz9SGdLs+eG1I0EItc+equ3pk4W9mPREA1qNnCtmFqBWynG4fdQ2WzBlxvD0uwdJiddx88JiOnoGbl2NMaiQy0OB2A3lddx5eQkfbamKWLALAtyycAhOj5/Wbge3zB+ML6rdFeVbRkevC/M3GADSqkOtZdaoFfy/lPMP86dqezhVG1lBLgoQCIJCBLVSRm6aqU/rEYQ0zbKSjQSDEqIo4PAFeW/dSfaeaEWpEJk8PI2rJ+fx29f29XmvVq3oY29+nvOOt/3hcPnweANIwVB1jCjCtkNNbN7fQK/VExbot9q95KWbGJQVy8+e2xEOduw72casMZn0WD28tPIY91ySjnvr5xGfISg1JC6+D3dDBW0rHifocaHJKSFmynL89l5EtRZVQgY+SztSwIN+8HgcZ/fT+s4jJF/7KOOHZyMLdIQ0Iy9q+z9P0GVD8LkJSqH2rlljMplUksqJmi6S47TceXkJO4808+LKY0gSTChJ5Td3TmTF5jNsPWfxXpBh5spZhQgCvLPhNMW5cWg1SuaMzcLp8jOmOImPvzzbpwp1/8k2Fk/ORUIKa2f2R6xRjdPlDScd5DIRuUzAf67Cy+cP8uWBRr485672u7snYrV7kYkCxTmxlBaOR+53Y3A2Yv3iGVydDRSak3hw2hI88Vn86q3j/X63AHsrWvnx9aP4zSvldFk9jBuSTECS0Knk5/7X+h1ylCj/VUQDQN8GJKhqDAnsnhdEPM9PbxjNkbMdlBYk0NBmQ6dR8ssXd5ObZqKyoTfUXlWcxOtrKvrNhGzaW8/18wfzxBv7+2xTK2WU5sfz3obTfbaV5MdjtXv57d0TaOty8Ye3LpR6tnQ5eGnlcRZMzGHBxJwBHcy0ajnei4RHHS4fXq/Eml21rNlVS2q8jlsWDaG1K6TD0WNx8d0rSnlj7cmwPk2sXoHkG3jhJgW8NLRasHlFRmQo0Qm9CAEfKSUGZFIin+9tYdqIdD7fXUtZtp5pUjn2YxceLn3NZ2l/+2FiLv0hj98zkT++cxCFPoauY1tBlJ3TCIm8rvHzbqdj9bMRos2e41/grzlIynWP0vLB7whYzuvtCBhKpxM355YIjRFPcxWiUovCnEjz6z8PC9cC6IdORZ0xiNQbf4sgU+CuO07XxlcujLmzka5Pn8I07lJ0gyfgqLjQOuerLEfMK2HNsRjaup109Dh5+NaxHD7TQWuXgwOn2umxulk8JY+cVANbDzRS22zlzqUlqJVykmK1bDnYyLMfHkaSQK9RcPn0fHqsHsoKEtAoRAJRLZH/apRKGftOtNHZ62bm6Ay2HmqiqsnCoOwY8jPMPP76hcV6S6eDZz88wrzxWVw+rYDH7pzA+xtDluiTSlOZPjKDz3fX8sy7B0mI0XDn4kF4dq/r93O1RWNQ6M0hVz1PNyI6Ag4rSZd/H8u+tfRseSe8r0xnIn7B3XR/+RZtHz5B0hU/QZs3is7Pnwck/D199dY8jSfRl17C5dPzae92UpQVQ0FGDB9sOo3d5WfJtDyS43Rs3FvPloMNOFw+fnHrOF757ATr91yohMxMNrB4Sl6EqOZ5NCo5qQl6nnzrQKjlQCYiCKBUyHjq3ZDT2ZjiZN5Ye5LpIzMw6pT9anUtmpzL31Yc4fLpBRRlxRAIBPtkayUJXl51gt/fO4kvD3ii1T9RvpV09LpJy9f/4x3/SbSq0DLX5ohm/P9V+P1BxhQn97FfP8+IQUnYnV40BhVyAb67rJQH/7azT0XOnUuGoZSFSiudviA//PP2cJuSxxdg7c5ajp7t5MYFfdewNc0WkmO1/QaWBqq+PI/V6WXskGTe2XCKeLM2rGOz72Qb+062kZNqRKdWsP1wEz+4dgRatSKssTZleBr7KlopyU+gIDOGBE2Qnq+4TcbNvpmenSvwtlSFX3Oe3Y+r5iipNz+Br6Oe1tV/vai6R8AwYjamMQtxVx0kPnc4gkxN0rKfIAX8CAoljlN7sB/98sKHSAF+cv1oAsHQvd/i8NDc4eDBm8bwq5f3RDhjbd5Xz/6TrTxy23gmlKQC0NnrAgmOnulg4eRceq0efnjtSD7ZWsnWg42U5Mfx6G3j+etHR6hqDF1js0HFrYuHsO9kKz02DzNHZ7B2V22f65sar6PH5kG8qLpr74lWpgxP54v9DX32z0k1UtNi5cuDjTR22Jk7LotdRxq5Y5iNzi9fCu/n62qCjc+iH7+MSUMKWbmrsc+xINRq/fGWSho7QkHALw82cuB0O7++YwKzx2ZEXcCiRCEaAPpW4AsEaWgPWbZ/NQBk1ivJSzMiIeEPSByv7mLm6JDgWVWjhe0009bjZFJpajiyH3Fsf5AYg4pbFp9zSzg3ASfGaLj9smFhnZ99F1UBDS9M4PYlw/j+M9t44OrhvL62PxV+WLurhsfumsianTV9Hi6ykg20dTnDr8tEAb1WEZEtaO50YLF7efp7U3B7A7i9Adq7Hdy9rBS1QkaMUY1KLqG0jMdW/mm/YwjmjKPirJ17ZsTQ9cnj+GwhQUJBlLG4bD5lyyeQmZVMdbOFaYMNeN7vW1kAYP3iFQyXP8IVMwuQRDEckBEUkSXj6swhuBsq+nXsCjgsuOorSF7+ED3b38N5cg9IQWxHviB25o0ok7LxttUCIDfEEvR7aFvx+wjNHwD78a0ok7JApkSuN9O99Z0+nwVg2beGpKU/iggAAVjLP+P7yx+mwaFEpZRzvLKTbYeawppL2alG3ttwmpxUI4fPdlBR0x0WiDZoFVwyIYcHbxoDhFq/Xl11grQEPZdNyYsGf6KAKLD/3P1i9OBknjynA3DJ+BxeXdW/49b6PXXMGp1JICCxt6KV/HQzowYn8ZtXy8P3iI5eFzsONTDD3bdl1TT+MkSFirYPnwgvmhOX/gj9sCk4zuzDXReZDQw4LHSsepb4ebfTs/19PC1V6IdNRx6THFpE9oPMEMehWjudPS4unZLHSyuP8/JnF87niTf2M29cFjmpRk5Uh+4z+0+2MX9iDmsvaqOsb7Vhd3q5Yf5g3t94JnzPS4rVcvtlw3j7nCC/IAg88uLuiHunKApMKE1h3e46dh5t5he3juVP7x0Ktz/IZSILJmajlMs4VtWFXC5y5cxC3lp3QVvtq6zbXceVMwsIBqK/3SjfLtxeP3aXD9M3WAGkkIso5WK0AuhfjEGnYMKwFHYdi3Rg1arlLJyUgwRIkoQkQaxOwdPfm8qWg42cqOkiKUbL/Ik5mLUKkCREmcjHX5zpV6Omsd2O3x/kd3dPpMvqZt2uWo5Xd7FyaxUP3TK2z+dDaN1r0Cr61VCTywREQcBsUJEUq0WSpD4Vmxa7l2kj0rl0ah4alZwrZxXw9Lsho43Rg5OxOjwoFTIy45SolZHlJDK9GUEQI4I/55GCAYIuG+0r//SVqh4J28ENxM39Dn5bD6JKTe+Oj3Gc3EnQZQNRhnHEHOJm30zXxlcRZAoEtZHH3wglWyYMS6G+1UZjh43dx1r6tUW32L3sOtIcMhrwB0mM0SKTCcQYVQiAQiby7obTnKjpQpJg8/5GDp3p5IfXjUQuCnRZ3aTG6zha2cmq7TXEmdQ8cts4/P4gm/Y3hINuBRlmrr9kME+/e5D5E3IozomloqabL/Y38INrR+L1B9h1pDmsyTk4O5bvXDqUR1/aA8AlE7J56/NT/GhJDp4Nf+9zHgD28k9YePXvBwwADS9M6ONQZ3V42bi3jiVT8/D5onNhlCjRANC3AJkocLSyg9ljMjlzToxZo5IzLC+W+BgNT717kKvnDCLOpGbV9mq+t3w4k0pTWbuzhuZOB6IocPXcQdicPg6evuD0lBSr5QfXjCAoSbR1OfnRtSPRahQgQY/NzcZ99RRlxHDV7ELmT8zB7fWjUshQykVsDi8+fxCjTkWvzdPvuCUpdFO9ZEI2OSkmDFoloijQ0mknL93MkxdVDV06Na/fANWuY80YdUpUShlf7G/A6wswujgJjVlLS5cdJIGhQ6YjHvuCoDOyjU0Rm4LFkMfVk+R0vPcLJO9FwbNgAO/BVRTPS6XdFcfs0Zno3Wfp/0wgYOvGbbOSlZzCkZp28jOLcddX4Ld1oYhNxdcdsktXpRXirOmb2VelFRIz+QpcdRX0nN2PIj6d1Jt+R9DrRvI48LTXoy+bRff6UDYjdsa1uKoP9wn+nMe673Pi5twCUjCiOihy0H4knydcIizIlajSixAVagSPHVGM4/dv7qf+ojLpippuirJiuGXREJJitOi1kQtvm9PHB+ecjYoyY3jg6uHcftlQVHJZSLMoyn89clHEqLsQGD0vXK9Ty8PaNF9FkqCm2crgnFgUchk3LyzG7Q3w4+tH4fMF2bi3nmNVnRxvsDNj6EhovOBaKDcmoIw/L9p8AeepPRjKZtH63m/6/UxBlKGIScY4fDau2mP0Wtoxj12MKjGL3l0f99nfMGwaxSYTcpWav3xwmPq2vu0F6/bU8cvvjGPtzhqC5xwYr5s3iJ/dNJrV22vosbkZnB1LQWYMxyo7+NH1o9Cq5YiCQKfFxee7ahhRlMiEYSkcq+5CFAQC5yJAGpWc7189guomCxabh8KsGAxaBTcvLCYoEXYx2nGkmZXbQu4vR850cPOCIQPeowF6bR4E/nFWPEqU/2s6z5kUmPTfXAAIQu1C0QDQvxalKDB1RDqlhQl8eaABu9PHsLx4xg9L4YPNZ7h3WRnnq6eDQQmVCAvGZTJ3TCZyMVRFdD767QlI7Kvo3wUXYPuRZrJTjCTHabl+/mCCQYkDp9oJBIJ894pSXvjkWLhFSyEXCUoSNy4o5tkP+xqgXDGjgOPVXazbXcu9V5Th8QYYNTiRkvwEkmK1GHQKTDoV7T1OvL4gp+p6MOmVXDY1j8+2VWE2KDnb0MMrq07wzE25uKsPoUovwnPOvl2VnIervv9EiCZ7GI5Tu/tV5BdUWuT6GGQaA13rXkKQyYmbcwsBWzfdX76Ndf/nxE6/DlVqAZqcElwuF8W5sUwtS0cCXvjkKIun5HHoTHvfDz7HnhOtKJUy3l4Xml9HDU7iunmD2HaoiYY2G4VZMSybUcC7G09zuq6HbmvIufKH147kvQ2nuWtpKSlxOh68aQwJMWqePvdsMrE0FafHj1Iuo67VypNvH8Dq8PLp1koeumUsL312nKpGC398+wDzJ+Tw6O3jUSpkyEQBm9PH57trwpWuBq2SrGQDcWo/rnMunX0IBtAGrJj1Snq/YsKQk2pEpQw92o4clIjN6eNsQw+SFHLCvXRyHrL+jhklyn8Z0QDQtwCZIFCSn4DD7ePSybkYdEoykgycrO1m1fZqblk0lG6bmwdvGoPV4eHwmQ483gCzx2Zh0imJNarZcqCBkoJ4Fk7KwerwkhCjIdaopsfq5qG/7yYYlFhzLks9ODuWssIEFk3MQRQFnv/4GC1dDrKSDSyclMu+ijYMOiVZKQbUyq+/VSrlImX5Cbz42XE6ekIBmLKCeIqyYjEbVMSZ1CyYlENnr4utB/tG63UaBd1WF3/7+Fj4tfITrWQlG3jwpjE8/9ERXu928fMrHkJ9ejPes7sRZHLkg6bgzZ1Mp1VOqu0MPV5Xn2MDWHZ+SMo1Zbyxt4mUwV9vMxsURNxeP4U5cZhSrqZr02tYD6wnbs6tdKz5KwFbN5Lfi6iI1OZQxKZiHn8ZbSv+cKGkt/IAlr2rSbz0fkStEXV6EXJDHM7sYchUOkS1AV/nwQHH4rd1ITPGI8jkJF7+A0DA19mA9dBGArYL4rCCTA5SENP4JajTi3DXnUAK+pG8LtINHrr7cQE7XddDV6+LFLOahRNz2Hui/4XXwsk5aBViaKEWDf5EARAFOqxu5o7LYvO+etxePwlmDR29LhT/QBxcpZAhivDgzWNYt6eWnUdbCAYljDolS6blMzQvjnc3nMY9pwzzBCeq5DwABLmC3h0r+hzPfnI3pnGX9rF4D41TTsKie2j7+En8vReqG+1Ht2AcsxDT2MVYyj8DmRxlfCaGkmn4bZ04NTmkxOnCwR+9RkFSnBabw0v7uftbZ6+LMUOSOVbVRXqinoIMMynxehZPzqWly05ynA6FTGBwdhx6rQKFXKS5w05nr5vCrBiOVXaxakc1j905gWcemEprtxO1UoZeq+SlT49xoib0+953so3TdT1kJhv4+CvZzPA1VcpRKmQMyY1jx5HmfvcZkhtHQJJQCP9IjjVKlP9bzlcqmHTfrDizVi2PtoD9ixEkiewUIy+tPM6QnLiwCPRT7x7kl7eORdVPzsh/LkhzccGNTCbS0etGrZRjof8gXVlBPCa9itfXVITvwyX58UwdnkZlo4Xf3j2Jjl4nPl8QjVrOhvI6Yo1qfnL9KFbtqKau1UZybKjqSCEXyE01s+NwE0+8uZ8rZhSwdHoBz398FLlc5K7LS3jmvUOcbegFQiLQt182jJI8BRNLUlGrZHz0ZSVzRqXC8fVY6g6TeOkDdG14CUGpwTRxGQT9aPNH4m2vw3Z4IwF76FgyrRG/tbPfc0xceA89O1bgbbtQTeo4uQvdoHHETr+O7i/ewLJ/LUlLf4SnpQqVXsdDS3No7fXy/q42CjJjmFKWRt0Aep8Qkn3wnqtIHZQdw+SyNL7/p23h5MC+k22s2VnDD64ZyWurT9Dc6cDjDaDXKFg6vYCn3z1IW3coKDMkN44bFwyhs9fF2p01VPXTiudw+1mzs4Zr5gzCpFfS2G4nKVaLRhXSvuvocWE2aMhKNiKXidy0oDgsRSBXfP16XVSo+MkNo9lQXseBU+2oFDJmj82iJD8Oq8PL5dPyqWzsJS/dzNVzili9o5pemweJaCIkShSIBoC+FfgDQbKSjazdXcP18wazekcNb627kAFfua2ae5aVsL+ijXc3XtDrWbenjsE5sVwzp4gRg5No7XJS22IlK9lIt8VFbbOVYfl9RXtP1nZzsrabkYMSKcqKYcyQJGIMatp7nLy08jjdVje3LBrCbZcOQxAgP91MZWMvEJpAdBoFFrsXuUwgwazh3j9uiTj+4bOd1Lft5xe3jOVsYy8uj5931vfVGQKYPSazX32iulYb68vruHruIF5ZfYJj9U6GDZmHcfglyJVK6i0CVU022ntsFKlrB7y2AVs3CsnHgom5BH0WBLmyr6sCoEwrxCFqMWkVxMjseHpa0A0aiyImmaDbQfLyh/C21RL0uEKBlosyPKYxC+na9Hqf42ryRiD5fcg0BhwVO3HWHsM8djGCWoe76TTqrCEEfS50BWNAJsPdcBL78W1IXjfKpCwEUaR354c4TpVDMIAqtYD4ebdj2bcGd+0xZDoTQY+LmMlX4nf00vbh4+HPtu7/HE1OCS/edxv3/f14n9bCdXvqGJQVS0qcjkWTclm1ozpi++SyVAZlxYYXbP8I4dzD5deJgkf590YQBNwBiTN1veSlm7h+3iBS43VcMbOA5z46SmObnbx0U1gv4GI0Kjk6jQKPJ8DrayoidBusDi+vr6ngpoXFTCpNRSMDX2cTlt0rQQqSePkP8PX0LfPX5JYgyBWIGj1BV6hFSp1ZjHHUJShiQzoHhuGzsZR/FlE9aN27mtSbn0CTPxJRJsfdeBop4EedWYLD4sFDqH3gpoVDUClCGc0Yg5qEGA0rvjiLUiGjJD+ekYOS6Oh18ZcPD+PxBvj+NSNZtb0GXyDkQlJ+ooUtBxvx+oIUZJi5YmYhG8rrOFbVybIZBXz0ZSX7T7bx8K3j0Gvl/PSvO8Ituuc5fKaDhZNyBgwAzR6byc6jTSyanMue4y1hgc3zGHVKclKN4d9nlCjfJjosLmQyAb3mm12KalXyaAXQvxhJAqUgcfulQ+m2eahvszFvXDY3LyxGJQr/o4pDmVzE7Q/y8ZZKpo1I5/1Nfd1e40xqMpKM/OLvuyJeP1rZycMv7OaupaX89K87+OF1I2nssPH5rlpsTh+5aSamDk/n+9eMwOMN4PUFkMtEjlR2YnF4uH3JMDxeP0mxOn75wh40KhkPXD2CX/x9d0QrWkObjUdf2s1DN4/luY+OMH1kBgApZjlScxNBlx1fdzOJV/4cAQm/pQNvVyPOM/uQJIn4+XfhrDyEIj4NhTkRQa7E19Uc0YqszijG01odEfw5j+PUHrSFYxC1xlDyTxCQgkHa3nkktL7VGLhn0hWo8sfg9bq5e34Wf0Pi0NlOjDolgiCEK0RnjMoIJ4IXT84LOeN+5XvyeAO8uuoEl03N428fH8WsVyEBT793MNyubNIraWq389Q7B/jV7ROYPiqj3wAQwLQR6VTUdlGan4DT7ee11Sc4Xd+LXqPgB9eORKOWk5dm5oGrh7Nxbz0vfRZq5x6amk9ubAq+7r5zv6gxYAlqeOTF3UwoSeW6eYPwByRijCr0GiVPvn0gog1OFAXuvaIMvVaOxxtApZYTiLZER/kvJxoA+haglMuobOxlSlkanRYXWw9FVsqoFDLMBjV/XdG39ehkTTdHznZypr6HG+cPJsagoqrJQnaKkVdXnyQ71cR3Fg8NuwGcJ86kZtmMAn79SjlOd9++6+wUIw8+t4O7l5Vy44LBvLamgkWTclHIRXpsHhJjtCSY1awv798GvtvqprrZwsqtVVw7bxBFWTGcrovUzZk7Lgurw4vd1X9mbtuhRiYMMvPgXAOOHW/i3VuL3RiPOHwRnVIWL686S0qcjiXzcge8tnJTAr6WM1iCaZy0CYxZcD+Wz/4YUYIrao2op9+GT65DYW2g+bMnkDxOkMnRDxqPOmsogkyB/cR2/D2tmMZdhrZgFM6zocCVTG+OqDLQl8zANG4RzrP76d7yNgGHBXVaETETLsd2bAva/JHI9HGoUgvwtFTRtelVJJ8XTf5wki7/Ed1b3iJ22jV0rnshXFYM4Gk+S9tHT5J85U9ob68n4dL7cTedRRmfTs/2D/qcu6vmKJqqvTx0zQjuf+5QxLagJHG0upOSnFgWT85h5ugMyitaCQQkxhQnYdKpkP1Pqn4EAU9AoqHdiiRBZpIBlVyAaLvJfxyiTMRidbLrWDN/+fAw915ZxtpdtZj0Su5aWsKmffXcvbSUR17cHaG9IBMF7ry8BJNOjlnu5dJRcewxqyg/2RGuAJo3MokUjY9589LofOchAo4Li0lvaw2KuLSI34K+dCbm8ZdiO74d0+gF9Oz8iMRF9+KztNO18dXQby69CPOEy0lZ/jD207ux7Pwo/H5HxU5ErZGeL9+66AwFkqdfT6O5jJ/dOIbnPzka0T6pUsr43vLhxBpV/OTZvtV7r64+weIpucSZNDz/8dGwuD3A2YZeHn9jHw/dPIbS/HgkYMUXoYXtzqPNjBua3Cf4A6HkwP6TbVw9p4h3vyLWn5lkYPqIDHYfb6auxcKPrx/N+xtPU9VkQRCgtCCBy6bm8fLK4zx0y1i+KmYfJcr/33RZ3JjPPaR+k2jVciz9iKlH+X9DkkCGRIJBSbI5nmAwlAT6nwR/gqLItkPNpCXqKT/RyvSRGRRlxnC6PnKdeOuiIQNqnPXYPLR1O0iO0/LEG/soLUjglkVDUatkuNx+TtZ2Y9QnEwxKbDvcxCdbQro8Bm0o+FDT6UCvUXLPFaUIIhw+29GvDpE/ILFxbz2jBidh0Cq5aVYWgzP0GJIvwd1wAkVcGv6uRnq2vou3sxGFORHT+MtQJmYj+Txosorp2f4Bvq5mFHFpmMYuxm/tCFe2agtHYz24fsBr5Ty9F21uGe6GkwQ9LrovMgVRJmahik3Bsv55XLXHEdVa7imbh2rJVMqr3fgDEomxWmqaLRRkmGlstyMTBQRCFTr90dLlIMYYqnS/ZHw276w/hSTBpLJUZozMoLPXhQQkmDV0WVwkx2opyY/naGVkddPEklQSzFp67R5++RW9O7vLx+n6HhQygYIMM063n8NnOsLb39zSzKPL7kb47LeR8g4yOcrZ97LhmIVbFw/luY+Ohp3ErppVyKa99X00kIJBiec+OsKffjCNo2c6mDQsmUBUBzrKfznRANC3gIAEs0ZnsreilS39tEkNy48Pi672xxf7G7hqViHtvS7+8OZ+Fk/JoTg7lrFDkpHLBE7XdfPwreM4dLqdXruHwsyYkPgdIVHRr7JsRgE7j4ZE2tq6nOSmGfnuFWU89mp5xI21IMPMNXMHsWlvfR93B4CK6i6+f80Ith5q5KpZhQSCEruPtaCQiQwvSkSvlbNmZ+2A55WdYiTBUUXP6j+FX/P3tsGXL5E/bA73Xz6NbpeAMtWAqNYT7E88dvQCLPvWElu6iL9s85B55VCMV/wWoXYfclsb/qRBOGMKaPEZEK1dCBufRPI4USbnEjv9WuzHt9Gz/QNEtQ7jiDmISjUd614kdspV6IdMxll9GEF+Qb/APHEpqvQiuje9HtL4OYe7oQJ34ykSL/selr2riJ97O+0f/SGsLQShSd5Vc5TU636F394b8cAbJujHemADyVc9iO3YFvTFk7DuWzPgNbQd20LcrAKyU4zUXlQaPHtMJqt2VFOYbkYtEzCqZCwclwWAx+Pvt0e9z1AEgfKKNl5ZdSLsQCeKAjctKGbi0GSEaDXQfxR+SeJ4VRcHTrWTl2YiN9XE3z46gj8gkZduYt64bNxeP7+/dzL7Kto429BLQoyG4UWJZBr8BKp24Dq6mfyAj8LcMVwzaSrbT9uYkS+DQ58i1snw+osigj9w7n94xg20n/s96AZPQJM1BF93K5YdHxI74waSr/gpln1rcFVdCHS66ytobThF4mUPoMsbQdDjxLY/ZNcb9HvwNX319yVh+fIN0q8u4tXdHRHBHwhlRv/8/mEeumVMv9envtVGeqKe9m5XOPiTHKc9dx8WOVnbzcptVYwbmsLfP7nQ8lrXYmXkoMQBr/vqHTU88d1J5KaZOHCqHZfbx/CiUPXmis1nCUpQkBHDC58e45Lx2Vw5qxCAU3XdPPnWAYpzYkNuLNGgbJRvGZ0WN8ZvUAD6PDq1nMaOvuuDKP86AoH/+f0lIAg8t+IIh8508MDVI9BrFDzz3kF+cetYeqwe9p1sQ6UQGTkoCbNBReW5dqz+qGzoJT3RQGO7ncNnOsJBhLw0E4sm5xAMSjS02cLBHwhZ2PdY3YwbmsKvXy6nvcfFokm5VDf3X8UCYHd5uaQsDY29CUvFx/jPduJKySNmynI8TWfPOUyG8HW30Lnmb8RdcgdBh4Webe9d2NbZQOfav2GefBXaojE4T+9FVGn6rUw/TzDgRa7WYp58JT1bLxxL1BoxjV1E64dPQDAUzAk6rdh3fYC75jC6ITfw+MdnEEWB5bOLwikAURTwn0vwaVRyJpSkEmtU0dbtZPexFnz+IJIkIYoCo4ck8fHWShZNysWoV/LYq3sj1ntXzyki3qxm/LAUZo3J5NDpdkRRZNSgRFq6HDR32nlx5fF+XSjP1vcwbkgysUYNL30WqZvU1u3kT+s7+Pn1T2A7sx95ZzV+czr+tDKe29zCkapGvnPpUDKTDOGW7bx0Mx9s7ltFBiFh8LP1PeSlm6J6eFGiEA0AfSvwBwJ0WtyMGpzUbwBIpZDhGKBKBsDp9qFSytCpFSyYmMOcsdl0Wdy09zg5WduN2xvgN6+UMyQvDr1awbrdtTS22xk5OIlf3TGe2mYrPTYPfn+AjCQjp+t72Li3npmjMpg9Ngun28dvX9vbJ6p+tqGXNTtrmDsuKyxKejFmg4rXVlcglwt09rjosriYOToLi8PDn94/xNIZ+YwuTmJ3Py4OADdMTca6+lf9bvMe20jp9XN57KNaOnrM3HzNL+n89OlwQEWQKzGNW4wqYzAyYxyixsDdC7VsOtBCeqIeZKMJGCV2ljcTb+zk8ukmzIINj8uGqNISO+0a2j76Q1iAOWDromv9S+iHTSNl+UMEXXYkSUI/ZBIyfSyiWo8gV6CIz4CAPyL4E0YK0rPjQxIW34+3oz4i+BPexevGsm8tuiGTQnbX/eibuOtP4G0biafxFMZR8wm6Hf1eI4Cg24nMbaEkL4a8VD2iINDt8JEcp8PrC9LR6yIjTgucC/z8DxEE6LR6eHFlpPtSMCjxyqoTFGSYSTapoy1h/0H4/BIbyusYlhfP/AnZeHx+fnjtKCQk5DKRlk4HdS02NuypY/6EHEoLErC7vKRofdhXP42/7aJ7xKE1yM7sYNnyh2l55UcgBTGMmIurLhQYEVVaTBOWoE4rCuluqbQkXfFT2lc/h6FkOh1rn8c87lIElZagz42o0kQEf8JIQXp3rsA4ZiHGkunYDm2EgB9tTimuuv6FOv0nNiMFR/e7zeXx09rlxKxXDSB4LVBR04VcJnDHkhKCksT2Q014fAGGFyUyKCsmLJp9Ho1KRmq8noFiNLFGNS2dDp5bcYRh+fEYtEpyU028+tkJJpWlcfB0GyadkmG5cbyxNjJTrlXLuXx6AcFgMCp8GeVbR6fFRYz+m9X/gdBDrs3pQ5KkaDvkN4goC7V02V0+VAoZWqUMkcjWcEEICdMfOheo2Xqwkbnjsvjoy0osdi+vrT5BfkYMDpePp989yI0Liok1qcMak18l1qTmbH1vn9cnlaVSWpDA3hOt7D91QRhZo5Lzo+tG4fb6eezVvWFNIavTS6xR3ec4KoWMn1xRQIHRg79iI+3ln4W3OW3d6IdMoeuLN/odm1wfQ/uGV/rdZtn9CWm3/gHT6AVIAT/avBHYDvfvUqvNHQ6GOJRxaZiUagTxMvzWDoI+L5Y9n4WDPxfjbzlD5igHRp0Sq8PLO+tPUZBhDs9deo2C2WMyGTMkmS8PNHDwlIXMZAM/v2kMm/fXo9MoePiWsYiiQHqiniG5cWHXsfMEgxJvrzvFz28ew6urDgNQnBNHUPLz7IeHcXsDPHLbuH6rW016JXPHZRFv1uALBHG6+651Y01aXv6ilfo2E0mxE+lp8nByzQVX4k1765kyPC0smREMBvsNNJ2n1+ZhcPb/XNogSpT/ZKIBoG8BLk8Ao05JR4+DMcVJEfoYAFVNvSyZmj+gyGdJQQLdFjc6jYLBObFUVHfz0ZZKWjodHK/q4sfXj8Lh8nH07IXyzIwkAzfOH4zPH6SqsZfmTgf56WZSE3ToNHKG5sURY1BxsrYLnVoRniS/yoFTbcwdN6ZPAEgUBYbmxfPxlsqIG/LVcwfx4spjBAJB8tLMWB1e8tJMffqHdRoFcRqJTudAgnYSzvYG2ntcVDZaGJ8/hLyxi5DpzUiBAHJjHL7uVlre+iWSLxTESUzK5taF9/HFGR8HT3eQFKfj7qUl2JxePvqykvvGS3gA/bBpWPat7eO+pUzJQzd4PJ1rngv3JYtqHfGL7iN2xvX4OhvxtFYjU2kHGDP4OhoIumw4Tu4acB9n1UG0RWNIXPJ92j99uk9mSJmci6g1YiibhTWgRjtoLK6avm4XAJrcUmTGOC4rtBI4+QVIEpqJM3DK3QSCElrVP3kLEEU+3dq/LgnAx1squXvJsFB5W5T/CEQxpNdz99JSTtV109Yj5/2NF6x7s5IN3H/VcNbuqsHu8vGTv+4gNV7HYwvUkcGfcwQcFuyHN6Ivm4n90Ea0ecNxSqDNH4E2bySd6/5Oz5dvn/twOcaRc0i75XFc1UdQJeci6mNIWvJ9HKfLcVYdHnDc3vY6RKWGoNeFNreMoNtJwGlFmZgZ3kemM6FMzkPyewk6LRhUAwtaW+0ehhclYHV4qWq0hANBGlXI7cuoU3HzwiHsOd7CgYsePM429BJvVvOLW8YiE4VwFnXm6Ew+313DpVPzIrLU5/nOpUM5fKad5HgdaQl6ZozO4N2Np+iyuTEbVKiVciobe5lclsbo4mRW7ajG7vQxoiiR8SUpBCUJhVyMVF6NEuVbQJfFTXaS4Rv/HK1Kjs8fxOMLoFZGl73fBEFBYF15PZ9uqQw7cg3KjOH+5cPRyC9oAsnO6fCc59CZdiaXpTFleBoujx9fIMie4xeSglsONDJ3bFaELuZ5RAGGFyaycmvkfTPBrGFQVsh+vMviwXKRU9RlU/P45MuzLJycF9Gmu/dEKw9cPYLthyPdan+4NJ+k42+hnLiE7r2r+564IIAkoRsyGXlMEt6WKlw1RyEYQAr4+zcpACS/F193M6JKR9fmN4ibeQOO0+Uh2/eLUCRkosodjqvuBK2rf0bwnDOWIjaVxMt/8JU25q9cn4bD5KYVh6uiVm6r4vF7JuJw+zFoFRRlxfDYq3vD+1c1Wdh2qImf3zwGl8dHXYuNnFQjN8wvZu3OvvpE51m3pzbkTLyrNuK7WzajgP7irXEmNfddNZy3153iTH0PU4enMSwv5CZ3MTqNnM5eN1WNln61BS12DzrNBbFopUJGQoxmwGBhTqoJu8tHvF4ZDQJF+a8nOhN+C1ApRHyBIHaXn0HZseGI/Xlau5yY9ErSE/U0tkeWMSvkIosm5WDUKbE5fTS02WjqsHP9JYNIidPTZXURlCQunZLH8tmF2N1+Yg1qHG4vtS1WnnnvUHhiPnCqnU+2VPLD60YC8Nbnp7hxQTGn67oZCEkCxVfayBRykXuvLOPz3bXh4M/5jPi2c1bwdy0tZUN5HZUNPfzilnHsPt7C5n31eH1BRgxKZNqIdCzO3q+9bqJCjc8fChB9tKeVOwu68X7+d5QpeRiGTqFr46sR+3vbaul671HyZ/6MF889mK3bXcs9y0rxeAMETOnEzrgBTfZQfD1tyLRGHBU7wxN47JTldG56FcOwaSjj0wFw1hyl49OnSb7+N6gzBuPtaiJg7WBABBFBEBCVmoHPS6nB39uOq+YIpjELw5bVMkMccbNvQvJ5cZ7ZhyI2BbnHii9pGDJjPIGvuEsISjWmMQvo/uJtXFUXNEucZ/ahyhjM3ZfchEmv4p/RBgkEgwNOsgAdPS78gWjVwX8ScgHmjs2iod1GjEHN3z6O1CSra7XxyEt7+O4VZXj9oYzfbYsG4T/Rf3YUwHlmL4mXPYC+aBwoNRjKZuDvaaPt4yfxddSH9xNEEUVcGr72Oryt1chN8SgTMgi6HWgLRiGqdLhqjuLp09YFCDJkOiOiSod58pUgSfTs/Bht9lAEhZq42TchyBS4608gKNToiidSUN/3MOcZmhePxe5FJhO5eVE6Pn+Alz87wdLp+azZWcXCSXn02j0RwZ/zdPa6WbenjjFDkik/3sLlMwpIiNESb9Zg0Copyorlw01n6Oh1kZVs5Jp5RZh1KvLTTZyp7+XAqTaeeH0/k8pSmTYig9+9vg+Xx8+sMZkcONVOY7udBRNzyEk14vcH+dlzO1HKRZ5+YCqqaOFDlG8RLo8fh9v/f9QCFnpItDp90QDQN4BcLrLlSAsffEXE+VR9D4+8tIdf3z4+/LAhSUQ8tEsS/OWDQyyanEtmkoH543MizE5O1/cwZ1wWE0tS2Xn0QhJULhO56/JhJJ1z99p1NBR4mDYynfFDU3j8jX0snVFAe4+DwdkxnDmnLVSQYebTrVXYviIK7vL4OXymnRvnD+bNdacIBiWSYrWkC+0EeprwWdrDrfGq9EEYSmcgqrQoEzJIue5X2I98QdBpxzRqAbFTr8F+ahdyUyKJl/8QkHBWHgytJy9O6EnQtuL3JC37MZ2fv0DiZd/Dcaoc55lyBJkSfel0dAWj8XU10fP53yLG6+tuxtvZiKBQIfn6q0YFSakLu35ByMFy59EW3vz8JA/dPKZPBTeE2uP+uuII911VRrxZQ1KsDpvLS6dl4PVeZ4+L5bOKqG+zUd9qIzFGy9IZ+TS0hdYKc8ZmsqH8wqR604Ji/vrh4XBieefRFh6+dSx7jrdEaDDVttgYXZzEwdP9W9sPyo4NSxsMyo4hwazlpgXF/OGtA332HT8sBa1ajhQMtbZFifLfTnQm/BaglMsIBOHP7x8mzqTmh9eOZP2eOspPhCa0CcNSSU3Q8/Obx7BmZw2b9tbj8QUoK0zg+ksGY9IpqWq08sSb+wgEJW6YP5j2HhcvrTxBt9WNXqNg/sQcJpWmEm/W8KcPDrFoUh5//+RYn15Yrz/Iy5+d4KaFxSjkIp29TgqzYgYcu0ohQ6OW8/CtY6lvs6FVyUlL1BNv0pCeoGf04CS0ajnZKUbqWq0UZcUwZ2wm1U0WGtps3HNFGa+vreDGBcUMy4+nrcvB4bOdvPzZcX64rBBlSh7elr5ZcUGpxiqacXlCC4IjZ7vonjCK2MyTGIrHY9n1ab/jDTgsGNzNJMZoaO9xEQxKvLTyOL++dSQyVxu2Y1vo/uKNsAB00rIf0/7Zn1HEJOO39xA3/Xp6d66gZ+u7IIhoC0eResOvkQSB9k+fxttWQ/JVPwdB7FdHR1swCkfVQbSFY7Cf2N7vGPVDp+A4tQdP4ylMoy4BQi0xCQvupmPNcwRsXRddiPeIW/JDkq55FOvOD3Gc3IUU8GMom4Vx5FwIBtHmlhGwd+Ntqw2/zdNwksySelCk4vP979Xw5KJIUVbsgM4Pg7JiUMhEglGnhf8YBAkumZhNXYuN1y4qw74Yq8NLe4+TnFQjRq0CvU6FJA5s5yrIFHiaK7HuW0vy8p/T8s6jxM35Dsr4dMzjL0MQRFz1J9DklGLdtwZ3w0kQRBIW3IX92FZshzYSdNuR6WMwjV6ArnA03RdnRAWR5Kt+hqvmKNb9nxN0O5AZYjFPWIqgUJJ46X307voYT/OFajbr/rWUTLqK5VPzeG9rZEvukNxYTtZ28+m20D1p0956CjLM/P67k/D4AsjlInFGFZv3DRxB2nmkmYduHsPcsVkcOtOOy+Nn/e5ayk+0khij5bJpeRRkmLE5fOw83Ex6kgGvN4DF4WFQVix56WbqWq10Wd3ce2UZrV0OYo1q3t90hrZuJya9itP1PaTF61HKRdzeALuOtjB7ZDp+f1T5Msq3gy7reQv4bz4ApFWHlro2h5dE88DJlyj/HC5fkA8H0F5p63bS1u0kPU6DJEEgEKQ0P/584QwQan1dua2az7ZX87u7JnK8upNjVRfWOc+tOMwvvzOehZNyOF3fg0YlJ86kxuXxs+VAA0Ny45gyPA2tWoHL7eMnz24nKMHuoy0U58ZSnBPHpr31ONx+vL4gbq+fGENk6+G0EemMKU7G6fbx++9OornTQbJJjmz/y/iDQQRZ6H8oduYNSAE/PVveIeDoRdToMQ6fgzI5m841z2M7uI6YadegyR5G55q/4m2vA5kc3aBxJC37Ee2f/YWg0xpK2jktBN12vO11xF1yG52fv0jyVQ+iySkhYOvGcXYfMn0stkMb+r22ztPl6IdNxXaw/+1S5ghOX2QekJNqorHdjlwm4PEF+m3NglBlntsT4Jn3DpEUq+XH14+iMCOm3yocgNw0E5v31VN0zoq+x+bB4fLhcPnYeqiRS6fkMX9iDjVNFjQqOWqVPKKrwB8I8vqaCn5642hW76jmwKl25KJAWoKe8cNSWL2jOqKKC0JJ5WUzCjhR08WDN43B5w8gyqCm2cojt43jzbUnqWqyYNarmDc+m8nD0wgGg9idvv+VXlWUKP+pRANA3wKcHj+dFjceX4DmTgePvbaXqcPT+P13J4fcmio7eGPtCXJTzYwbmkJRVgxymciZ+h5++cJuslOMLJ6chyRJjB2SjNsTiBBCs7t8fLDpDK1dDopzYlk4MRdREAbUFWrrdmLUKlkwMQezXonV4WNoXhzHL5qQz7N4ci5dFhcvrTyOUiFDJgqMGpzMtBHpPP7GXhLMWtq6nfTYPMSbNXh9ASx2D7+6YwK3Lh7KU+8cRKuWc6q2mw3l9cwek8n4oSkUpJuxBdSkzboT/4pfRZbFinJUc+/nha2RLXGPvn2SJ+/4DkptAP+5KhxRY8AwbCpycxIBew+249sQOmtIjMkPT0B6jYJkoYuuD35NuBom4Md+Yjue1mriZt2Eq74ChTmJlnd/BcFzk6YUxHl6L57mKhKXPBC28LQe3kTcrBvp2vgaF1fXyI0JmMcvIeh14mmrwTB8dkiT5CJUaYUoEzPp3fEhAIJChXnSFSiTc7HsXR0Z/Dk3hq6VTyFd9hiO3AXkjbkUmSDh72mhfeUz+DoakZsTMY26BGkYdG967cL/xcF1mDNKCcrUeAMS0rlWEel/ELQJBoIsmJDNxr11+L5SSiuXiSyclBsN/vyHIUkSaqWMOFNIk2YgmjrsDM6O5UfXj2L/6U6mFkyBM3v63VdfPAHn2f3IDDE4Tu9BbohDEZOIqFTT+fkLSEE/xjGL8FvaQ8EfwDjqElw1RyMCqAF7D91fvoV5wpKwsCZAzJQrsR/fhv34tgv72rrpWv8isTOuR5KkiODPeWw73mfh9U+w7UQPzZ0OVAoZM0dnUFaYyB/fjswunm3oZcvBRuparDR22GloHaht9QKt3U6eeucgP71hNM9+eDhcTdfS5eBvHx1FFAWeuGcSFTVdpCcZWLu7hhvnF/PEm/u5/bJhpCfoWbm1ivYeJ1nJRq6dN4hRg5NobLMRCAax2r0UZCgw6VW4u52cqe9h9qj0fziuKFH+r+i0hAJA/xcVQOdbnaNW8N8MvkAwwvnxq9S12shM0IWtt1VykXuWlvLsisjW9cQYLWaDitsvG4bN6WVvRRtatZzCzBjc3kBIJ0aSEAUBtVLO9sPNbDvUSFlhApdOyePlz44zY2RmWEvtZG0Xy+cUsmFPLT+6bhQffVmJUiEiSVDZ2EtZYQKHz3Qwd1wWiTFaHn15TzgoFW9Wc9O8fMySRNBlQ6Y1oSueRMBhwbJnZXjMQZed3l0foy+ZjnHkXBxn9qKMS6P1ncj1pOPEDrwtofVk5+cvkHjp/dgrdgDgaa3G191C0rIf07P1XRwXzW2Gkun4OvtqgwI4Tu8l5bpHcdediLCVB1BNvIbPj1rDrcYyUWDm6Aw+217Fr24eTrJJ5KbZWazZ3/611dxt3U5WfHGWJdPy2bSvvt/13rSRGfzmlfKIbQUZZm5dPIQH/7aLsUNS+MlftnHn0hJEgX4Th1VNFp54Yx8zRmXwlx9MIxiU+GJ/A0+8sZ8Hrh7BZ9uqOXSmHUkKHfuKmYV8sOk0da02ui1ublxQzJEznQzNjePNtSeZUJLKspkFON1+vjzQwCdbK/n9dydj0quiFvBRohANAH0rkCQpokzT4w2gkMtYu7uWTXtDmWRBgIUT83j477v6CIUeq+oiJ9XEiEFJTB+ZwTPv9bUoBth+uInpIzM4XddNTqrpa8ekVMhw+wI0tNt5+bMT3L2sBLNBxa6jLQSDoQfBueOymTE6g+c+OsIN84tRK+UEpCA+XxCXx097j5v2HjdKucik0lSS4nT02tzsPNKMRiXnVG07VoeXmaMz2HKwkcrGXiobewEYXpSAUafEb9STdsWvoaWCYPMpxJg0/OnDeXlzC8dreiPG7PUHCSoNOIJOZDoTmtwydEVjsR5Yh71iB3JTErFTlxPQJdB9uDX8viXjk7FveZ3+WqF8XU0gBVCl5NNb/tmF4M9FBGxdeJorUSRk4OtowHm6HEGuIPmqB3HVHCHgtIbEqDV62j7+A4JcRez0a5A8LpKW/Rhn9ZGQVWj2MKSAj45Vz4aPLcgVKBIyketM/QtLAwT8xHhbOdVl5mQjTDPV4/ji5fBmf28bXZtewzjqEgylM7Ad+QII9aBLSBw428mn26qwO32U5MezdEY+erUc6R/0SGuVIr+5YwJ/+fBwuDUxPVHPd5eVolOKSFGnhX97RFHAE5DosYVKzM1GNUpFKAjUZXH3+57UeB2vr6nA6fazcFIOfoMBRf5YfJXlEfspEjJQpRbi623HNHYxPdvfxzxxKW0rfo/fcqGNUq4zYT3n3gWgzS2j9f3f9vvZln1rSb76YUSFGnXmEFRpBTS9+P1+9+3ZsYKExfcOeO6eii3cdtkiPN4AGrWMtk4nT7yxL7ygvpgv9jdw9Zwijq86QU6aiYxEA1sPNfVzVJhUmgaEfitdFle/i+9gUOLdDae4fHpI+621y0l9q5Xf3DmeHYebWbenLrxvbYuVx17dy3evKGVwdixPvXMQfyDUSnuezGQD0aL3KN8muixuZKKAXjNwheC/Co1KjgBfG6SI8s8jl4loVPJ+LdQhNCdcXG0uSBLDW2d+eQABAABJREFUC+L5yw+mse1QE50WF2OKk8lMNvDrV8pp6nBw6+KhKBUiu4+18O6G00hS6HscOSiR71w6FL8vwFUzC1g+q5Beu4c/f3CIjh43l09TUVqQwOLJuahVMny+IEumFWB3+Zg9JpOEGA2jByexYvNZfnT9KGINKsYUJ/PrVyLnp85eN29trObxhTNwVR/G01qNeewimt/8Rb/naD+2leQrf4pMZ6J396f0u57sbkaQyUm+4qd0b34T07jFuCoPojAn4ThTjiavjICjN+I9AXsPcnNi/0GgoB9LzSmMlz+Io6kKsf4Acr0Z9eDJbDxuY+WemvD1v/6SwcRqBL43KxbnntdxttcwzpjA2AWXsr8jiZfX14YPG2tU47zIIr78RCsLJ2bzw2tH8ubnJ2lst1OUGcP4YSmUFMTz+a6+iUCvL8DRyk7kokBQkrhrWRnpCXr8wSAleWqunFVIr83DzqPN4WS00+3ni/0NzBqdyW9eKefGhcWkJugpP97KzNEZ3LigGI8vgN3p5W8fHaWjNzR3JsVqGTEokYrqLo5Xd1HVZOk3yLR2Vw1Xzy4k+E9UvUeJ8p9GNAD0LcCsV+H2BcIuMIIAowYn8auXL2TN89PNVNR2RwR/zAYVl4zLojg3Dp8/yMTSVFQKGclxugjL7/NIUkg0bevBJsYOTUEuE/s40gAYtApEUeDtz09y7bzBdFvdPPHGfmaMyuCnN4wmGJSQCLnbVDb04nT5eea9Q6gUMn50/UjW767j0il5QOg8Fk7MYcvBRvZVtJISp+O3t48mSe3EkOlnzG2DsQdUVFRH6gxdOiWXBLOWtbtqqajpojAziSllI7A5veiDSmaUeLhhciwEA9gCKj7Y3U5Gkol1e+pobLPywJQbUAs+2lb8PnzMgL2XjqbTmKZdx6D0FJrPVTHkJanxlPdtMzuPu7kK/bCpdH/55sD7NJxEmZiFr6MBUaNHQMBxuhwpGECZWoC3tTqi2idg68ZxuhzrgfWkXPcIPdvep/uLNyMmf1VaIYJSi7X8VUzjLuXrtHpkXisTdb0o8vJo/+DdfvexHlhP8pU/CweAdIMnsXpfO+9sPBveZ8vBRnYdbeaR28aRFKtFCAQRBIEA4PKGSoZ1GgVqRahSKMmk4pe3jMXlDS0WNCo5SvF/Zwkb5duDJAq4zwVwDVolZ2p7+OuKI7jPlYrfedkQRmereOr6bGyuAI1WeHNLC03nLJZVShk5KSYaW3uRJBVvrD3JlOFpLJ50HQlTlxGw9yDIlRDwE3Q78HY2oDAn0bvzI9Rphfi6miKCPwCiQknQ60JQatAWjiboczPQb0HyeSAYIGbqNUh+T5+saMS+XhdfZxkiuWxs3FvHrqMtTBiWglwu9hv8gdDCVX3OXebTrVXISsRwdvliYo1qLpmQhccb4O5lpXi8fnLTTFQ3WchJNZKfbsbjC3DgZBsnarq5ccEQ9laE3M1O1vUwqjiZDeV1/Q2B19dU8L3lI8L39LW7aigrTGDT3noml6b9U62eUaJ8U3Rb3Ri1yv8TVy5RFM45gUUrgL4JNHKR+ROy+ejLvtWURp2StARdH0dQQZLQKUQWT8xGEARc/gD3PrklPNe8uuo4Ny4oZsm0fHYdbcHj9TN1RDrF2bFIvgCiJKGWhf53UmM1PHrbOCRJQCYKTBiWwpNvHwgHpDRqOQ8sH45Bq+BYZSc3LCjm/Y2n8foCLJiYyxf7I8WHz9Pa5aSRHOJSi1BnDCbgsg1s1y4FCbqdKOIz8Gx7f8Br5ao9ht/Sgaf5DL27PsI4ch7KhAx6tr2Ht6WKmMlX4cktA7kShSkegIRF99K7cwXOM5EuXMjkyLJKCfp9oI/HMGk5Fq/IO9saKM6N43d3T0SpkCGXCXT2utBZquhZ9UfOz58Bey80P8mosVfQMDKHDQdaEUWBGxcU89m2C2viYFDC5vTz+poKlkzPZ3BWDIfPdrLtUCN7TrQwsSSV718zgr+uOBJuKxs1OInj1V0snZ6P1xfgvY2nSU/Qs3xOIS5PgKKsGGSiwPwJ2Rw41c6bn4cqfBdMyCEQlEiO0/HHtw+SGKNh8eRcWrucPP3uIfyBIE99bwoFGWbSEvWUFiSQGq+jtctBZoqRzQN8lwBHz3aydFp+9ME3ShSiAaBvBYIocaa+lwWTclm1vRq9RkFnryvi2USnUWA95zYjEwVuXjSEzGQDPVYPT759INwfG29Wc/PCIWzaWx+22bwYjUpOl8WFXiPn6jmFvPl5X2eFq+cOwuMNcMXMwrCCv88fZP2eOtbviXz4mDoinavnFvHYq3uZNz6LDeX1HK3sZNTgJCaVpjJuWAq/fqWcQFAKjXtmOqpD79NWsS2skRObU8qPl97CvX87gvOcKGSsUcPDL+xm9vBE7rskDSHow2rrwuNXM8TswHrwr/h7QlU8epWW702/gTpVOg+/Giopll06nO4Pf9nv9bZse4/FSx7ji8NtABgNanwqLZLHiUxvxjhiHsrELKRggKDLhl+QITPEIdMY8Huc/R5TpjUSsPcQM+2aUDbn1B4CbjuanFI06YP62Hu6ao6izhqKNn8kgkxJwGGNCP4oU/KImbIcX0cjnuazBF1W5KZE/Jb+xfDkpsTQw6zTijTAGJGCBFw2BLkSUaNHNXgS7/yuvM9uXn+QdzecYfGUHIrSzDh8Af707iFOnRNRlMtEFk3OZcH4bDhnL61XnpN7liQC0efMfztkMhF3QKK104HXF6ShzUZxThx/fOdCNeGSiWkMV9bi/OANgu5Q8DTDnMQvLr2LP22U02Pz8rtbhuJrOc0ytiGJMpZcNg19Ygyura/SXHUQddZQDKUzkemMKOJSkenNtH7wO6SAH/OEy+nZ+k6fsXmaK4mddRPKmBSkgBdBriJh0XexHtqEp7Hv/SvocxNwWmh+65ckLrrna89bVOsG3KYumkDVJ6EsYlWThWUzCsIi9hASu583KoVpxUZ0CgmNXmTDsW6OVXVysrabu5aWMKY4mW2HG/F4A4wflsq4ock8896hsJZCrFHNLYuHEGtQc7q+h2OVneg0Cr57RRlt3Q4qG3vCmfPZYzKpb7X2axUPoeqG81onABabl+wUEz++fhRqlexrg11Rovxf02V1o9d+89U/59Gq5Vgd0Qqgb4JAIMgl47PpsrjZcvBCpUpCjIaHbhqDWi4O2Hbj8wUQRYHTdb3h4A+EkqGvrq7ApFcyfmgKV8wYglwIfdZXb2W+gERnr5tN++qZPjIzwqBgRFEii6fksq+ijeYOO+mJBoqyAlw5q4C/fniE5Hj9gFo4AE99UsmTt92LTO7F39v2tddBUKgIehyIah1BtwNFbCrGUZcgN8SGxtnTiiBXEjznMOttrUGz6F56tn0AgKgzE3TbUaXk0bnhZXwdDeeOq8Y8YQmq5Dx6tr0X2lejJ3HJD3A2H6dny1sQ9OMGlOmDWTzhFn7+5gmsDi+JMRoeumUsueYgjhUv01/yxLv3I668/mnmj0okXgt2j4+xhSZauxw43H7SE/X02j20dDmINar43ev7wglUgFO1PRRlxXDX5SU8894h4kxqhuTG0dRhZ9ywFB56fhdmg5plMwpo6XTy2poKes9VFcca1dy9tIRr5hahVwpMLNDhcrTz0JV5HG/O4HdvHWH/qXaumzcIl8fPut212Jw+po1MD1cdSRKYdCoEMfR3IIw6JbLzmfYoUf7LiQaAvgVYHT5UChlmvYp7lpXy5YEGNF+x565vtTG5LI11e+q4edEQztT1kByn5Zn3DkZMhp29bp5+9yAP3TKWo5WdERnrWGNINK8wMwakkCDc95YP5/NdtbR2O8hIMrBgYg6HTrdTlBHDe5tOU5QZw7C8eI5VRTpMQahSKM6kRiEXefyeSfj8QX7x95C9+cdfVvKrO8bzq5f3hMcwb3QqifUb8ZzYEnEcT80RJM9f+dHSW3j9i0Zmjs7g/Y2neWR5Por97+L55DAgEaM1Muiqh2h9+9EIi/agx0nvuudJXPiTsLizzWIlOJCFfNCP2tvDkJxYZo3JpN0pJ3PkJbjO7CVu1g30bPsgPMnKTQnEzb0Nb0cDptHz+ziLha9F2SxcNUfwdTXTs+XCQ6yr6hCK2BTiZt9M6wePh4NeglqHfvBERJ2Jzg0voyscjXni5QRddkSNPvSALZPjOBW6ntYD64mZfAUdq//a57O1BaPwtlbjaasNi0YPhKhUoyydh3HEbFYf7l/QD+BYVSeLJufg8gf51UvltHRdmOz9gSCfbKlEq5YzZ1Q6gaid5r83okBVq43nPz4a1sW6ek4Rq3dcsG6PNaqZWyDg/izSicTf20Zg1e94+KY/4PaLuNb9CV/zhYqy2MzBODetwV1/AvOkZYgKNV0bXzmn6SWgyR9J0uU/pP2zP+NprUZQafsMT2aIQxmXRs+Wt0P2uoRs280TLkedmo/lImteZUoe/t4OvO0N4HMj+X3IdCYCjr7/66q0IvwqM4Jc2SerK49Ph/gsZo7q5Z0Np2nrdqJWychMMlDfZkOtlPGbG4rRn1yJ57PdeIIBvEoNk0cuInHJUJ7+pJK/fHCYtAQ9Y4cmo1bKmDAsmfv+uCVi7dltdfP0Owf55XfG8fa6U+Hqne2Hm7h0Si5yuYgowKVT82nrdpKXbv7ar1KpuOC7V1aYwIxR6Rw+04FcMP4zZn9RonxjhCqA/u8CQNEKoG8OmUzE5w9yxcwCrppdiN3pRRQEDFoFSlH4h5oroijQ3h2ZuDLrVcwZm0VeekiuwC9JiP3cw4KCwEdbKvl8dx3TR2awfk9teFt+upkZo0L6NP5zVcmHznTw+e5aHrplDB5fkNpmCzNGZUTYl1/MpRPSUcskvB2NEPSjTMqOMNQ4j9yYQMBlxXGqHEPJDLxdjRhKZtCz9V183SG9SmVSNvHzbkOZlIO79igBlwO/pRND6QyQK1CnFYIg4OtuQZWci7+7FSngQ/K56dn6LvGL7yPm6seQiRJBtQlnzUGsX7wWMQ5v40kUX/6ZexfdyWPvnaa9x8UX+xpYUqYmYO/p9xxNoxeg6DqNe8vbdJ2bK6dklzLhpmv55buVXDt3EBqVnCfumcixqq6I4M95Ttf1MHNUBjdcMpgxQ5Jxe/1cNjWP1i4nNqePGxcU4wsE+fP7h/rMgU+8sY/Xfzwe58G1WN5ah+T30iaTk1Myk2fvuYSdZx289NlxlHIZP75hFEq5DJvDg1ol54VPjoXXLSOKElg6o4DdA3yXi6fkIpdBVAIoShQQ//EuUb5p/IGQ3eTaXTX/H3vnHd9WeX//973aw7Is75F4O3acOM7eZJFNCBnsEUgoo0ChhQ5aSmlpCx3Qlg4KlA0BAgQIhISQvfd0HDvxiveUZO19f38okSNs02+/7ZfSX33+yStXd0my7vM853M+5/D+tnOMyE8kNUEXVc012zwoZCJFWSb0GgVajYJNB+r7LOoGghL7TrYwdmhyZJtWLeee5SN4f+s5blk4FKfHj8mg5s3PKhhRkMgNcwopGBzHc2tPheMaBYmT5zrZsLeO5bPySTZFL8w0KjnfuWEUCrlIh9WNKISltxfvx+rw0m520WntIWpmDYvtRf5chK/5LDnxAtNHZTBySBKzh8cibn4ab+0xLq5cFMZk3FWHosifKBx5j6smJKOUi2jUX24sqdVquHbaIIpMPhLb96MbMo6EubfT/uEf8F6ygA10d9C25glEWVgFpMkd2etcpstvw9t2HnVGIY5Tvd+f39yCq+oI2vzRkW26/LGYt7+Bp/Y4ntoTmLe9QduaJ+jc8Bxta56kY90zhBwWYkbOIWH+HehLZqCIzyDlhp+gSg2318l0RoxTlqMrmoRl93sELK0IKi2KhL7NXkWtAbc2lbOmaby734zH23/VSyYKIEGH1Y3L6ycxTtMrOvPD7VV4/AMj6X8qZHKRAAJuf4iqRiuhSx4mwaAUNclbNC4Z6cj7fZ5H8nvxnt2P6OwkdsRMkpY9RNKy75J6yy/QZA3HU38aVVo+MrUe87Y3LjF0l3BXHabr85eJn3kzMpWGmOHTo08uytAVTqB97W8j5A+E0/y6Pn8ZRUIGisRB4fcTY8I07QYEUYazYh8A1r0fkLDg7l7EkiwmnoQFd7G1woVyyWOoskeCICIo1ShLF+Cffj/lbRLFOfHcNK8Qg07JCx+e4s6lw7nyshzuXJCN9uBLeM/sjviCST433n1rKPSWMak47L/T1OFg7bYq2i1u3t58ts/CYzAksf1oIxOGp0Rt/2hnDQWDTfzi7snYXT5y0mMJBELoNAqMMSoSjRou/UlmpxkiY4ZOLWdccQrBkMToIUkDFc8BfO3QZfMSo/2/N4C+CK1KTrdzgAD6VyMkiqzbW8cDv9/JPb/Zxo+f20tTh5NYnRI59Eqa7QvBoET+IGPk//mDjHzr2lJO13bxxKuHeOLVQzz73kkcvmDUPEQQwOLwsWFfWJkeH6umtauHSFo8LYcXPjoVIX8uIhAM8cw7x7lqWi7nW+2kJugxGdSR12O0Cq6bPpg/3V3C/GINUvtZHGXbketNJMy/E5k+OhlXVOtJmP8Nug98gqhUEzNqLrETFoeDOMw9YSW+tjpaVv8MpBAxI+eiGzIOV+V+2tf+lriJi2n/8Pc0vfAd2j/8HUgSycu/F6VSte58B1mMibterKW5w4F9V2/FLIC/o4GiRPj29aMw6JTsOtGEXC7rc19F4mAUCel0rv9LVKHEW3cC4bPf8tQ3hrP3VAuP/W0/5bXmKIXXF7HvVAsjhyTy3Wd28tAzu3hx3WnONVgBGJwcw+cH6vsciuaOScV54AOch9b1FGOCARzHPkN+ZA1TiuKoqLPQ0GbnzQ0VBENBVEo5v3j5YFSa2NHKDs7Umrl6Zn6va0wfnXHB9qLf2x/AAP6rMKAA+hpAq5Jz4lwnj30jXAV+5/NKjla2c+/VpTy9+khk8PrbujJ+dsdE3v68kiGZJk700eJ1EfVtdlZdWcygpBhMsWriYzVsOVzPTfOLWLvtHO0WN7cvHsY1swr483snyEjSM31UBtfNGYLV4cHrCy/sHW4/f3j7GLctGkogIFHfZiMhVsOIgkS8viDHz7YzsiCZEBIalRxRFCID/hf9MhSSl1AfJsoX4exq590tFoblxpMkWvFbWqNelxuT8Hf0P/j4OhuZdkUyBlM8Fp8frTG5T8muoNTgV+hJrN6F9/CHCHIlDlcbivgMQh5HH2eWsO5diyolF83gYgwjZ+NpOotME4NqUBEE/HQf/Bif1tDvvTnK92CaeQuus4eIGTUHX2c9msHDotKJgCglgu3oJpTJWTjP7EEQFZjtr5G28lfETrwKJJDHJWP+/BWsu98Dwqa6nsZKEq+4h9a3fx5p0wEQ5ErUc+/neEsIi93Hul01/Oi2cSTGaZgxehAmg5o2s5OthxvodvgYX5yC0+MjIU7DzfOLcF2QAVfUWXhv2zlCISkcqRoIoVAM8Mj/aQiJIjuPNfPhzmq6HV7yB8Wx6sph7C9rZcfRRtouRLnXNXcTkiAjXkmgvJ/fniCiScnG23YOy+FPCTqsKFNzMM24mRAS8XNWokzJof2Dp/s83N/VhKjR46o+htyQgH749AiRqskpxd/Z2MsX6CKs+z4iYf4dBLrbERVq7Ce2EFM6i/jLV+DraCDosCBq9KTf+kQ4aaWrGUVcMsrkbMybX6Fk/G089PIpFo5bwIiF1+ALhvj8hJWDO0/z7etH8dbnldy7fASjC5ORywRc3gA6pZxJuSpad57p8568R9dx5dyfsPd0T7tmcpyWncf79yNqaLNTkpfQa/vB0y2UFiRxzax8PtlTG1ZbfnMyZ+rMeP1BMpJiOF3TRUiSuKw0HZvDx7WXFzB5RBoNrXYOlLeyYn7hgPpnAF8rBEMhuh3eryQB7CK0annENHYA/xpIgsALH5Vx4HTPXK3T6uH3bx/jrqXDmTg0iWDg7z98JEkixaQlLUFHm9nFzfOL+OUrB6Nawo6f6+AHf97N0/dfhlIu4AtIyEWRU1WdiEK4Nb3d4mJQckwkTESlkPeKD78Is82DVh1WoL3w0Snuv24k6/fU4vN6uXtWEtLhd/GuOUmrUk1MyQyMk5bhbTyLKi2XhIXfRPK68HU1IdMZUSYOArmKpMXfIuhxIUlB7Mc29xkaIvm9OCv2oyuegjqjgLb3fo0U8GE/thmFMQl/Z0OY/Cjbia/9PKZZK+hc/xcgrLj1+3yEQhIqIRD2vOsH3S2NbD6m5js3jOL5D04hKXUo4tN7+eIZRs7Guu+jPs8R6G7H03ae0zVhNf3/ZBjZdqQR94XvrcPqJi0xTGCJokBDm73PY2YNN+L6cHOfr7kq9mIcv4xHV42nw+LGHwgRo1VR09TRZwH8jY0V/OjWsTx+50RO13QhiiKl+YkcqWjjlfWn+entEwcWvgMYAAME0NcCCiEsXfztm0e59YqhXDd7CE5PAAGJpx+YxtGKdurb7AzNNqFVy/EHQpi7PaTEa6Nacy5FSrwWm8tHkklDSV4inVY3BYPjeOnj07RdkNr+8C97eHTVeP76g1mcruni4101WO1eCjPjGDe0pxpttnl46s2jGGNUJMdp6XZ6SUvUsftEMzNHD2LNlkrKaswsmJTF9FEZEUM9h9tPglEdUQEFRSWCIEbaoHpBE4vb10mr2UW+uZYvdusH7RZUGQX9fo5yYzLnmhzoNTGcafMwdc492Nf+PLq9QxBRX34XBH3oY/QornmYkNuBMjkr0vbVF3ytNeiHTqbz078iKFThAV8C9eBiXLXHQZQhBfr3F5ACAeTGJNJu+QUhvxekIKI2FlfV4f6PCfoRZPKwUR+gyQ4vhhVxqXgaziCqtChTc1BnFePvaCJm2DTa3v8NclMaaTf/HPv5MwRbq5AlDEaRPZLKToHPD9ZQXhs23Pb6gtx2RTEf7aimzexicEoMdy8dQXltF1NL0zHbPDz85z14LzGPnVSSyreuKQ2bfitlKOQD5M/XHqKANyDR1e1GqZBhjFHx0roy9pf1TNrP1lsicavpiXryBxkRBBg3NCUcv+u1Izcm42ut6XV64+Rl2E5swVXRY1ov+X0gBXGc2ovr3CES5t9J0G7udexF+Dqb8DZXE7C2YxgzH8PoubhqjqMwJuNt6d+gPWBpQaY34jp3BG3eKPTDp+E+fxpd/hhElQZFXAohr4ugw4pMH4e/qxn3+TJ87fW4a08QNzWAw+3nnR0NXGrbOakklRPnOqhqsFLbbKPb6aNgsBGL3cOMsYNwNx3r954knweNGP0sUChEUhN0/U6Ak+O1mG29lY0eX5CN++oYNzQFh9PHsNwEvv37nVHm/fMmZlFakMhjL+zHFKtmybRcztSacXkDaFVy3L4QWvlABtgAvj7odvgISWGlxVcFnVpBtbOftvAB/K/g9AaiyJ9L8ebGCkbmJ6L4Hz565AL8ZNV4dp1oZveJ5ijy5yIGpxiwuf18squGE1WdxGiVXDE5m999exr1bXZitErUShk7jjWGw0r+ju/Zxdc7LG6efPUQCyZlcfWoJCwb/hL2b0zLxV13Ctuh9bjrykiY/w2CDiuW7W8RP3cVvo56DOkFeFuq8bXWoohPQz24iIC5BW9Lb0Psi/C11RIzajatF8gfCEfBqzOGQNWRnv3azyPI5IhaAyGXDVmMCW8w3HIXEOQoZHII9p28JujjOdfQxMZ9ddw0v4hTTX6K5tyN7b3Ho4gjmT6OgKXvlikAqe0cqQk5mG0ejlV2MGFYKu9tPdfnvhOGpfLhjp7x2usLUjAojvhYNS6Pn+R4LfV9jIGKoJvglxSHBbeNX712Cu8livN5EzK57YqhvPxJea/9txxu4LZFxSQYNbRbXPzy1YNY7V5GDUlE8SVLkAEM4L8J/xABNHPmTERRZMOGDSgUCmbOnPl3ExwEQWDz5r6Z3QGEEQpJaJVyhuXG4/YG0KoVhEIhXN4Ar31azp1LR+D0+Fi3s4YPtlezcHI2b39eyd1LS/o0ehYEmFqaTsAfNvMdmh3Pj/66N/J6YVYcWSkGnJ4AdS029pe1hNu+LmD/6VYKs03kDzJG5JsAVrsXq93LyIJEqhu7mVySxmN/248/EKJgcBxDMk0Mz00gGAyx63gTH++q4daFxfzuraMEQxK7KuzMzh+H9+x+vghFwiBqzOHP4qMd1Tw6M5UvLoc8DWcwTl4S9vzoY9CLmXw1fmMiXl+Awsw4vDo5KSufwnZqO6HWKmSmDHw5kynvgEnxQcxnD+Ld9gYAmtyRKIzJvc55EbIYEyF3WB0k+b14m3sGd5nehPfkNkzTb8Jxelefx+sKxhHyOGn76A+RAV89uBjtkPH42vtO9dHmjcZ17hAgoM0bhXHKciS/F+ue9wh0d6BKzQ2rJU7vCiePKdWoUnPxNJyhc9PfUM29H1/mRJo7nDz+m4NR555SmkZti401m89GtlmrvJys6uTBG0chl4v8+vXDvVRce0+2kJlioCjLxJDMONRykdBAQ/XXFiFR4LP953l/ezWhkIRCLvLwirFR5M+lePvzSn5wyxjaLW6CwfAE+uDpFuZOyEI+Zim+T36LIiEDdUYhUjCAu/YUqrR8rLvfjZxDkCuJn30r7R88HVGhSQEfgkLVb8VSkZCBaeaNuKuOYdnxFqJSi2H0XMSYeBT9tXwSNnGWfF60eaPwNFfhazlHyO2IRPa2f/i7npYzUUbsuCuIHbOA5ld/FL7XUO/niEGnZN6ELH7xykESYjUXVAMSaqUcpyvAs2tPcveUmP4/dEEkJPYsbEcNSSI7NZzwdbCPxZIgwPRRGfzmjSNR2wuz4pg9LhO3149cJpKZmscf3jnWK7lx4746MhL1GPRKapq6eWr1UeaMH4xKIWd0UTLtFhfZSboBD+gBfG1gtoWfA4avsgVMLcfh9hGSJMSvIHns/3eIokBDe1+K6TDsLj9uXxCFqu/Woy9CkiSUIlw2Mp3HXzrY6/VYvZKrZ+Xzo7/swXfBd9Bq9/Ls2pOMLkxieF4Cv1t9lJWLivnhirH8+b0TqJUyVEpZnybPGpU8yjPN6w8ybXgCuJvRD52Cs2IfUiiINn80xolLMO98GykQwNfZQMIVd+NrrUWm0tL69s9RZQ4jfsaNdG15A8uOt4mdtBS53hQJKvkiZDHxBKwdUcEf8hgTQVdvcsTXWoPClIbXZUM+6kq6gxoykvSgjkU3fAbO45/3OkYem0irV4PHF+RgeRs3zivk/qe2c/fSYUy65de4yncjtZ5FjEtDkTAoYlrd5/eiT8J2oXXyVHUnV03LJS1B18sHqDAzjsIsE7nVnbR0OTHolGEVTm0XP1k1gXONVpZMy+NQeW9VviTv37gZwBGUR5E/ABv3n+fuZSWkxut6FcLjYzU8/8EpjlS0kz/IyAPXjeQ3rx9m+awCZCIM2FYOYAD/IAE0btw4BEFAFMWo/w/gXwGJwckx/HHNcVye8KIk2aTluzeNpqbRikyUccPcQgBSE3SYDGrKarpYsXAob2+qjKg0NCo5KxcVs+dkMyPyExldmBSRwKYn6ll1ZTFn6y1UnLcQp1dRWpDId37fu5XhvS3n+MGKsbzySXlETgtQnG3iloVDqW+18f62KvyBECaDmmsvL+CXrxwkGAxx7eUF/Pq+qXR2exiUrOeJe6bw6Z5aTp53MGvxtaj9Hjy1xyPnVCZlIsy6l0CXjIdXjEUQBKSEYB/mrBLW/etIWvIQnev/fMnCTo5uwlJcsTmcrOpg9WeVkfjP9AQdj6y8AmuGg4ZOD+lCDAXpXiw7XsDb1EN+uGtPEXv1AmxHPqMvoath5GxsR3sPtAgCqrR8Ql4PUiiAKn0I3qbKqF1ElRb9iBkEHdao9+OpP41x8jLkhkQCtmgiTx6XgrZgHIr4dAS5gqDDirv2JJYdPRHvvvbz2E/tIGnx/Vh2rcFxajtJV32bgK0Tz/nTWFvNVHTCxOGpLJycxeZDDZGJ0IxRg3ji1d6TLIBthxsZnhffb+T1Z/vP872bR5OWoCfoG0hV+bpCJhM5Xd3Bu1t7yMpkk5bqpv7Nv1s6nbRb3Pzi5fDfhlYt57rZQzhW2U7WpCHErngCX1MlrprjCAolpstvQVTp4BJln65oEvaT26ImlM6K/eiHXYb9WO/fkKg1oIxLofmNR6OM2z0N5WgLJxI39WoEmQIp2PtvzTBmAb7OJlQpWVh3vh25h5TrfkTrmieiieJQkO79HyE3JCA3pRB0WJBpY/jhreNYt6salyfA8NwERg5J5LkPTuH1BZk7IROLzc3l4zLpsLqI0SlJjtPS6tVg0sf1aaqpyR+LN8bI9y+YVda2dFPfbqdwsIn7rinl+Q9PRX6HGpWcu5eVcKCsNWqRMm1kOiOHJPHj5/ZGJt8mg5qVi4rZdqSBIxXRaYCfHTjPzDGDeHV9uBq66UA9P7l9AruON3LN5fkD5M8AvlbouqB2+0oJIJWckAROt/8r9R76/xWSJH3p9ycI/MMKYUkCuSgQq1PyxTDv2eMyWbutKkL+XIojFe3MGZ+JSinnb+tOc8+yEu6/biQJcRqumz2E97acZe7ELIqyTASCIfyBEGqlDJNBxb1Xj+DzA/UMz40nURPEuv6dKB9IX2sN8rhUkpc9iGXnO0jBIDKtAVVqDpqcUrQF4wi6HXRufCGikBVlMgxj5uFp6K1OAYgdu4DOjc9HbdMXT6X94z/12lfUGgj5PChL5+NJGUFDm51pozL4+WtH+e6yy4l3duM91zOXU5jS4PL7efbt8L2EQhLmbg8hCf78fhmvahUsuayUpLxxnGuy49/eztWjFmDf+26vawtyJb74PNzealYsHEp6oh4B+MntEzhS0c7Www3IZAJTRqQRq1fx47/uYfb4sDKnJC+RXcebKcyK46Nd1XR1e1g+M49vXVPKc18YAwV1DKqMIXgbK3vdgyIhg5quvgewTQfOM310Bm9t6jlOEMIR9D9/KZxwe67ByprNZ/n+LWOx2r2kJ2iBASOgAQzgHyKAnnzyyS/9/wD+dxBFgfMdTv7yfo/JaUaSnhULh3K6pou6FhvJJi1qlYyPdlZT09TNwyvGUV7bRUung+/fMgZJArVKhscb5MMd1WSlGjhQ1sLiy3KxOrzoNQruWDKcp948EllQpCfqOd6Pj5DD7efJVw/xszsmYnV4cbj96DUKapttBANBEmI1nK7pAmDexEze2Xw28kA/WdWF1eHD6faz/xTUNHVz79UjcHsDnG5zM3jkLQyafguCx4ZTUtHqkuFwqHhrU3mkPW3W6DRuv/YROt57MirWPCgoaBGScM18mOw4CYfdhaQ1oTDGUXnezovrTke9j6ZOJw8+s4tf3TuF4QYdMYILNUGa6sui33AogP3kNuLn3Y7581eiFpsxpbNAItybfQmUSZkICiUhr4eU635E+wdPEz97Jf6uUhxluwj53Gjzx6ArnEDX5y8TN/WaXp9z96H1pFz/CLajm3BWHkAQBHTDLkOTMYTW1Y9FTPmSr3mYzo0v9P6iQkHM297EOGExnRufx7LrHQyj5mLZ/R4JcVqM3hBrNp9FrZLz45XjqW60smFfHUFJijJGlIkC2WmxCAIoFWKUkeIXYbZ5kCRYvamCaSMzSIxVIw6sML92cPuDvP352ahtPn8Qrar/x74oRJt2ujwBXvr4NA/eOAoh4KXzkz9FeQi4Kg+iGzoF04wbMW99HQD14KGYt7wadV5n5QGSl3wHv6UVT92pnuupdSRf/QMse9YSctlQxKdjGDUHWUx8+D1UH0MK+km+5ge0vf+bKAN4bcE49MVT8HU24ao5TuLib9Hx0TOo0vLxNFT0K423HdlITOksgnIdv3r3HHqdim8uLWHn8SYq6y2s21WNJMHMMYMoyjJx+EwbD/5hJ54LBqQTh6Ui6tNQLPgufPrrSIsmgDI1D+fw5fzgLwfx+oLkZRi5Ye4QXt9whhc/Os3owiS+f/MY5HIRnz9IMChx/FwHU0vT8QVCnDzXQXysmrkTs/jRs3uiiBuzLZzw+ONV4zlxriPq92vudvfyU2los+MLhLC7AiTqlf8jM9YBDOCrgMXuRakQUSn/Z+qQfwUuGqTbXAME0L8CkgRJcRr0GgUOd29yvjQ/CbVC/IcN6EUkrpqWS9mF+eVF5GUY+209Aiiv7SI7zUB5rZk3N1Xy63un8Mya4xRnx/PEPVN4cd1p1m4LF0MMOiU3zS+iqsHKyCFJfHN5CUq5jEDr8Sjy5yIClhacFftRpRWgMKUC4De3okxS420+h65wYlR7tDI1F19LNbHjFtF9aH1Pz5EoI+6y60CU42uvj2wzTb8R9/kyJN8XPKpEGdq8MYg54/CIWuRyFSmSO6Lo/8kbZ7hp5jxmr7ye7o52UGqpNUu89FaYcIFw4UAu6yHiHC4/r2/sIUzmTcjEMXgSirZa/NU9lgSCUo3+iod453g331w2gjc2VlBzoXiUbNLynRtGEaNVUNti4/OD9dS3hguy72+r4s4lw7G5wh5fP79EzXX8bAdTS9P4/ben0dXtQSBcbpVrVcQtuI+utU/i7+zxGpTHJqGa+wAvvRo9j7kIc7cnatxTyEVuXzyMLYfDn21eRriV/VyDFZko8ObGCh5ZOQ7VgG5hAAMY8AD6OiAghY3LLsJkUHP74mE8vfpohKwBkMsEvnXtSLy+ID/4827uv7aUkrwEKustlNeaOXC6lUAgRFGWiYnDU9FpFPzhnWNcP2cI8yZm8uH2qqjzBYKhL63QONx+Ors9/PKVgyjk4ZhPAMWiYgYl65GJAsGQRGaKgdWf9QwozZ0Opo1KRy4TWb2pknuWj+CXrx7Cau9p/xBFgR/cMoakOC0+r4dfv3Qgap6w5UgzBl02i677JZ6OZiSPHeLSOd7o56W/nWRMURJXz8znvMtOW6OLsUUG3tnc9yDh9gYQPHZk5/djOfoxCfPv6nM/55m9hHxu0lb+Gr+5iZDbiTw2EVGlpfWdX0TtK9PHYZp1C86KA+iKJuK3dpBy3SP42mqRxaWSuPh+Qj439hNbI0oEsY+Ia23OCAAEhQrjuCsQdbGIGgOtb/+ci0okUa0LE0F9tKtA2BhQpgtHpfra6lBMuRpd6SzsIRVN7R0cPtOO1eHlk921XDE5m3uvHhEx+Qa4cmoOpQWJVNRZCIZClA5JxGrz8tn+vlvTctNjKa81s3HfeTbuO8/kkjRuW1g0QAJ9zRCUoO0L0uh2i5vUBB1ymdArGQVgVGEyp2u7SDZp8fmDWC78Zs+eNzPcXtHLQBLAWb477Lmj0YfbJEMBBNkXvD1CQdo//D3GqVcTN3kZAVsXglyJIj6dQHc7zoq96IunoskdiXXP++HriDJ0Q8ZDSEKSBNJv+xV+cwshjxO5MRlPQzktbz1OwpxVWLa+Tkzp5cTPWYWnoRy/pbfM/CL81jZUmSW8d9DMierwZHN4bgIl+YnkphuZPiqD9CQ9MkFg76kW3t3SsyAIhST2nGzG6vAyfVQGyZd9jwSZA73kQG5KwyWL4cE/H8HrCyIIcPOCIp589VBEkXikop0jFe0o5CI/XDGWp94+itsbYMvBeqaUpnPjvHAa45sbK/pU7QRDEntONDNuaAp7T/X4NuRmGGn8QjuGUiFjUFIM7245y6oriv/HXhwDGMD/Ncx2z1eq/oEeAsju9EGC7u/sPYAvIqz+j36IqGQCP141nsde2B95xgGkxuu4c8lwZEj8o902oZBEVkoMCyZl8eneush2SZIic86+oFHJuWZWAW5fgLP1VgLBEGXVXcwZn8kvXj4YKS4C2Jw+/vLeCe69egTdTh9mm4eiDB3usq19nlvUGlBnDsN+fDOWne9AKIAiPh3TjJtQZ5VcCBu5SGeAFPBj2bWGmBGzSLnmYfyWFhBlyA0JOE5uQ5k0mIQr7oGAH2VaLpLPi7Ni7xcuKiNh/p2EfG7qbWrqzFZK8hI5Vd0Z2SUQDPHK53UIKi3HKr2cqGrqNW7cMHcISSYtP7x1LA1tDjYdOB/5LFQKGYum5vCbNw5zeckCRo5cAuZGBLUehyKes1aRK6cn8tAzu6K+3zazi4f/vJtHVo7ns311OD3Rc9N3t5zj0dvH8+r6A70+y13Hm2ntcnHNrHy0GiXBYIh7f7uDuBgVD1/zbRKVbqTudjxKI+aQjoM1/j798SCcFje6MJmn7o8DATzeAGu3VZGWqOdHt42LzGmvnV2AVi1HqRDDfz+ygcFwAAP4lxJAnZ2dTJ06lZdeeomJEyf+K0/9/zWCElGT94WTs3lzY0UUWQPhePdn3z/J/deOpLzWzB/eOc6fvzuDtAQ9Pn+I7LRYhufGo1TI2Ha4Hrc3yNTSdNbtrGbV4mG8vy3alK7N7CIjKSZc9e9jTB2WG8/Z+nCLg/8S2a0oCpypNTOuOIV9p3qbx3V1e1Cr5IgCXD52EGs2n40ifyA8yP/2jSP88bsz2LTpfJ/X/2BnLSX5STikdD4+WE1N0zmUChlLp+cyc+xgfvCnXVgvtLdlpRho7Mdgdf7YNFQVm3AdXQ+AIFdw6WB9KdzVx2D6jbhtNhSSF0JBgi4bKdf9GL+5KUywxKchKjV0bngeQSZHmZARqQpZ932E5PMQcFiiCBtFfDqiSkvshMUo4pIJOqz4bZ3IDImEfG6U8ek4Tu1AUGmJHb8orGO9ZCT/u52Wl+4gV2DPmsFDf9pLweA47r1mBBv21nGkop1P9tRSnBuPTBTQquVcOTUHh9vPz17sGajf31bFL785GZNB3efAu2R6Hq9v6Gkb3HOymctGpjMk3TCgMviaIBgM0doVTkQ53xr9u1i/p5Y7l5Tw7Psnon53ySYtdyzIIeiwMDcxhKDU4dHm8vqOVoamyHEc6t/LzVl1GE3WCJwV+wg4u4mdtBSCfkSlBm9bLY6yXUh+D5btq0la8hDWAx8TP+tmpGAAmd6IIjYJbf6YcPztRYSCOM/sxddWR+KV38Ky+13cNccxTr0O62fPozAmk7jgbjo3/BUA+4mtpN70MxTGZHxdjTjLd/d5r8qEQeyvcbNmZ0+lcdvRRh64biQ2p4/VGysIIfGNxSWs29Xb9BrgdE0XS6fn8dgrJ4nRKnjynik89eZRFkzOQq2U4/IEKMlL5Fhle9TE+SL8gRAb959n2qgMNu6rwxcIsfVwA1sPN/Cbb03t1ywaoKHdzpDBpsj/BQEWTc3hj2uOR7bJZQLJJi0p8Vre/rySpdPySDJ8uc/CAAbwVcFiD6uSv0roVOHr2VwDUfD/CERRwBuUaGp3YHV6yU03EqPuWToIAnznhlF0WN10Wt0MTo5BEAT+9O5x7r+2FNn/IoJQlCSWTstl7oRM9pxsQRQgyaRl4vBUdp9o7vOYEQWJ/PzFA7i84WdvKDQIY4yKYFCKIn8uxbtbzvHIynHUNdu+9C7jZ62ga+MLUQUQf1cTbe/9ipQbHkXQGDCMXYjcEI+gUCLTGkCUYT+xBfuJLchiTCCFImpRfckMLNtXgxQkfs7tdHz8J0wzbyJ2/GJ8nQ3hgI/4NLoPbyBmxCw8biPPf3gWURT45rISJgxLifLxe3NjBQ/eOJq0RD1bDzfg8QVJiddy47wilHKR7z6zC6vDS056LDfPL+LEuQ5aOp3cesVQPttfy/VzCnni1UPIRAGTQY3HZ8buamNqaRpdNn+fY1hIgg1765g2ehCf7qnt9XpDm6Nfsu5cgxUJgUAgyP6yVgLBEB1WN995/gRXz8qjqUPD0Yrw+3js9gno1PJeJJMowLKZ+Tzx6kFqm22kxutYdFkOV0zJ4UhFW9Sclm1hRe83l41ApZBBaMAEaAAD+JcrgP6e6/4AekMmhlO7apvD/heDU2KiFtiXwu0N4PMH0ajkuL0BWrtcvLf1LHcuKaGz24NOLed8q53M1Fgq6swkxGq4ffFwRJE+K8p7TjZxx5IS/rr2ZNT2GK2C5TPyefqto1HbBQGG5cSzr6yF+ROzqDxvoa7FxpDMOCrP9/hhvLTuNI+sHEesXhWlDroUvkCIbruXc5d4DH0RH+6s4fbFxXxj8XA0Kjld3W6CoRCPPb8vQv5AmHRKie8xphuRZ2JMTgz+oMT4fAOu9zZG9vWcP422YAyus4d6XU+TOxK308nbNQlMLtCRo9MhE0Ay12PZ8z4yhQpH2Q6Cjm7iZ98GgoB197sEHBZUqbkkzL+T7gPrCFzSWicoVMTPvR2Q8DZXYT+xFYUx6YJRYByEJDo+fZbkZd9Fpomh+8hnmKbfgPmCQXXI40TUxkI/iQ/yuBSkUBDj5GXItLG4dWn86M/HCAQlymvNVJw/xMMrxlLT1I3F7mV/WSspJg3fXDYCQaCX+SzA7y+0mry4royy6rAUOz5WzXWzh3CyqqPXhOrjXTXkXVfKQF3l6wGrw8vbmypZPC2XZ945HvXakYp29BoFf3xoBvvLWmi3uCjNT2J4ugL7tlfxnesxaZfLldw15z68ei1SPy1VEK54muasJHbClYR8bvydjdiObiXotqMeVEjysoew7l2LPCYev7kJf3sd3QfXEzdlOa7ak8RNuw7rvg/6PLff3EzA3oWnvpyQ24EmcyiK2ATcNcdoW3tJW5gUIuS20/ber0i+5mEElTaqffQi9FOv5833opVMgUCIQ+Wt2Jx+Fk7J4f1t5wiFpD7NQy+i0+omRqtgVEESAlDVaOWjHdV8Y/Ewnn7rKOmJuohkvi9UN1lZnJsbtc0Yo8LrC5Lah8nmRaTG6yLEbLJJy43zCtlxrDGqYHD3shHExSj507snkST6VHsNYAD/LnTZPF9pAhiEW5tlooDdNeBb9z+FIAq0WD387MUDUSTAiPwE7ru6lJAk8Zf3TkZsCgw6JZsP1keeRc2dTgYn6P5X6wLxguLn8Jk2JEli3c4avr9iLGfqzJH2potYOiOPXcebIyTBiXMd7DrexOSSVOpa+k9+azO7aGp38vHuWgpvGoWieBbu2ui5sExvBCnUp/oVwLzlNRKuuAe5wYTtyEYkvwfj1GuJGT4N+4mwoujSBExVxhD8HQ0E7V2ImhgkvwfJ76Hrs78hqLTElMxACvhp3fwKgkyBYcwC2rvDf7OhkMRf3jvBj1dNiCKAfIEQv3r9MLcvHsZvvjUVu9OPTiNny6GGqCJGTVM3v33zCD9YMZas1Bge/stehmaZ8PqC3HHVcNZsOUuH1Y0gwMiCRJbOyOe19X37GAFUN3UzckhSr+1GfVjZ82UIhSS2HmnEFBNdmJAkgQ6LO5IC98r6ch68cTRvbaqMhNKkxutYtbiYtduqIuumli4nz39wihvnFWKx9Q6b2Hq4gTFFySTFqhnILRnAAAZawL4WkAkCy2fmRxbiwb8zWXf7AijkIm4vxMWouO2KYtZsPktDu4NByTHMGjOI0zVdWOxedp1oQjgOV03P7ZXqBTCmMIXqJiuPrBzH/rJWLDYPBZlxTBqeyu9WH+ulQloyPY9P9tSSEq9l76lm7l5WQofFxcpFxfzk+X2Rh7bZ5uGnL+znsTu+XAnm8YX9hL44oF9EYpwGtyeAJMHeU82s/qySR1aOo/ULBMTmQ/UsnJzNBzuq+NHVeaibjkDNBwhyJcaiG2m7JGLSdngDSVc9gCDIcJ49eKE/W0BbMJaY0lm0+jVsOlSNWpPD4Xorc/Mk4mUigc5GLk6BYsctwtdeFxngIawectecIOXaH6JMycLbdA5l4mC0eaMJeZw0r/5pZF+v2077+78hdtIyYkpmYJp+A0GXDVETg7v6KHJ9HKk3Pobj9G4CdjMhj4P4y2+l67O/RX9AopyE+Xfit7bhqj4GSAieAI9eX8zP3z6L3eUnFJJYu62KuRMyefvzs7i9AZJMOkIhib2n+q6mtVvcvPZpOVdOzWXxZbkkGjW0dDp5f1tVlCl45L17w9/RAAH09YAkQV2LjYY2BysWDuXdLWcj5vIZSXpmj8/EqJUze/SgC+SwRLBiSxT5A+H0Ls/G35N215+w5Y/BcaJvibx+2GUEuprxdzbiqj6Gu7qHOHZVHsRddYzUm36Kz9xC5yd/BsDbVImo1qFKzkRhSsPX2ruKeBHu2pMo4zNQFk3CVX2MkMNywbA9GkJMPIgyLDveImnx/Zg3v4rfHP4bF1VaFJOux67JoM3cGHXcuOIU8gfF8fBf9lCcE8/KRcNIidd+UYgXBYNeiVIu45rZBXR2h70bzrfa+XRvHT+6bRxIEj5//zPN+FhNr+frshl5rN9Tw+xxmb2MniFMwM+flIXT7efKqTlIkoRCIaOp3cHowiTiY9WML05l36lmDDolNqcXuUwkwaju9z4GMICvGhabl7T4r7YNSxAEdGp5r9/cAPqHLyjx2N/29yLCT5zr5OPdNSyakhMhWNrMrl6FoZNVneSkxOD3/+9Md1VyGcFgKKJi/dO7x7lraQmN7Q7Kqjsx6lXMHDuIw2fae6lQNu6v48crx3OmztzXqYFwW2BKvJbrZhdwusbMxNwheNKH4LskyEMRn4G3pbrfc/ja6gg5rJi3vBbZ1rXpRZIW348kgePU9ogHkCanlLjLrqPlwlwwduxCHKd2Ro6TvC6kgO9CSxnoh03FK6j56GDPPC0kwbkGC5NLUhldlIxeo0SSJEIhiXijmu/8fgc/WTUBfyDUr4L1xXVl/PDWcVhsHiaWpPLHNcfJTjNw79Uj0GuU2F0+Ttd08dGOKkyxmn7fe3ysGpuzN9kyeUQauemx/R6XnqjHbPfgcvvJSTNEvXaqqpOxQ5Mja5W6Fht/evcE8ydlcfWsAmK0Cox6Fb96/XCf5N67m8/y3ZvHsOdk77ntRzuqGXLjqIF56gAGwD9BALndbm688Uauvvpqrr/++n/lPf3XwR8IkRSnZfnMfD7cUY3PHyRWr4ykd10KQYDkOC12l4+MJD3+YIjv/6mn1aGhzc6+U818c9kI6lpslNeGBz+9TsGKhUN57IX9kRjhrFQDbWYn7245h1IuMrooGZNBzdGKdo5WtPPN5SVsPdxA5XkLcQY100dnUNdsY/PB+kic9M9ePMDcCYMZW5TMY9+YyM5jjVTWWzDqVUwfnYHPHyQ+Vt0vwaNRyZkzIZPK+t5pOgAzRmegUspo7nBgd/r44a3jUCt7/9nWtdjwBUI8ffswbO/+FJ/9EgNBf/S1paCftg9/h2HkHJKXfy8cgel14W2uwino2Hzazk9un4BGJQsvwmQiguyScwgimuySXr5A4ZOH6Nr0InEzbiTY3YW3pRpVai6dF4gbmc6IYfQ8lEmZSKEgkt+LRAhFwmCC3e14m6tJXPwtgtYOrIfWo0rJRT/sMhAEnBX7SV72XeyndhCwdaBMykI/bCoAXZ/+teceWmuJScjgkWvv4/svh02xz9SZufKyHADGFCZRXmtmcklqn39jkdN0uWhos9PUYeeWeUUcKm/tk/yBcNKYUiYQCAwoDf4dEEUBuVyGJIWj23UaBaMLk/hgexUjhyRy39WlIIBcJtJudhEIhPD7Q5GWPZ3opmP/R32fPBREclrQD52M6+yhnvS9C1Cl5SGqdbhrjqNOy48ify5CCvoxb30d49RrSL3hUTo3vQRBPz5zCyFnN/LYZESVllAfih0AuT4ObcEYvI2VOMt2oi0Y12sfZfoQTjYFyVj+c4Qzm7Ed3YRx+o2IMfFIkkSdBXZWOEj1Rd9/sklLbkYsp2u6KBgcx+maLk7XdHHl1BzGFCZz6ExvP6FEowajXsUPbxvH1sP1ZKbEEqNVYHf5OVXdSUVdFz+7cxITh6ey+VB9n+9p4aRsXt8YVnqKosCCSVmMGpJEZooBi93D7YuH8fqGM5HFl1Yt5xuLh9NhdqNSyXB5/ASCIR5/6SCjC5MYXZiE2xvgmTXH6Hb4qG22MX9SNnJRQCnrp893AAP4ihEIhrA5fcR8xS1gAFq1AvtAC9j/CKIoUHXe2q8KcuP+88ybmBVRo/eF+Fh1n+ofpVIGF1qAvqxtXCHCgzeMYs2Wc9S32alvtfOLlw+Smx7LFVOzmTA0hZc/KWfTwd7P2EBQYs+JJuZOzOaNDRWRpNxLMXvcYN7cWMGhM22MHZpMdloh6hnfxGStxnn8MwgFiSm9vM+0x4sQVFqCXxgTCQVp/+gPxM9ZiXHClQRdNgSFCueZvQRdNiS/F33JDDQ5pVh2vn3p2dAVjKX13V+jHTIO7YjZbKlw0/IFNajHG2Th5GyeWn00MrfWqeXcsnAos8YM5kydGZOhf9K/w+LGd+HzkIsiXl+QijoLP3/pIDPHDGLi8FQ6LOGWvlsWFrGlnzFs2Yx81u3sIcdEAWaNHcykkjSaOx1cdVkuH+6MJs9EUeCGuUN4a1Mly2bmk2LScs3lBeQPMhIMSvgCQRKNGlLjGyPx7mabhzc3VpBs0vKNq4YRCIb6VXb5AqF+i+g2l49gSEI+wAANYAD/ewJIo9HQ2NgYFQMfExPDE088QX5+/r/k5v5bIJcJOD1+bE4vD68Yi0IucNsVxfz+7WO99p05ZjBHKtpJitPygxVj+4zyliR4dX05dy0riRBApQWJfLC9isfvmsixig4OV7QyuSSNw2fCVWZfINTLz+f3bx/jxrmF6DThhc3zH5yKVM/8gRCSBCqFyJTSDNosbiRJorPbw6ghSThcft7dfI7CLBO3Lx7Gr147zBcxtTQdpVKGzelj0ZQcPtlTE6m2y2Ui31g8jIZWOwlGDdlpRo6d7eTXrx/iiXumIIpCr4mDTiHgP7WZoD06PSJgbUcRnx4t4Q0GsB3+FHftCRKvvA/BL0NVNJUDVV5C+NhzvIFbZ6ZjLFBhjNUQ6jCjzhyG53wZckMCvo4vhpT2wG9uQVSocdUcR5tTityQEE44MqURP2cllp3vRAZ9md6IaeYKZDEm1FnDkIDO9c/ibQgvDN1nD2EF1IOLiR23kI6P/4SuaCLKhAwCbjuiUhvtm3LxHjobMZjLyR8Uy7mGblRKGcGgRFqCDr1WyZZD9bSbXQzLje+3QjYsJ57CzDimlaYRCgS5rDSd9XvqsDqiKz7GGBWTR6QN+P/8GyAIAn4Jqhu6OXi6NUzUjsogWaPkutlDOFTexrHKDo5V9rQkDk6O4ZHbxiEIAgFJwh8MoVNKBJ3Wfq8jeV10bXqJpMUP4Kzcj6v6GKJChX7oZLSFE3FVHSHQ3Ykn1H+l19NwhpDXiePUTpKXf4+Qz4u/qwHr7vdRJA1CXzID26H1fbxJEXXWcNre+zUhVzex4xcR+MK9KhIGEZi0ij+8VonHF2TK8NFkJihpPxmgsqmR2eMyWberhh/eOpa9J5tJidciSWHisiQvgT+uOU5yvJah2SbO1lvIzYglJz2W+ZOysDq9nKvvuV58rJqHbx3Lxr21jC5K4YPtNRRmxXHt7CH87aNwumBJfiK7TjTj9QW5/cphvLK+PEK8iwJcOTWX4px4frhiLG0WN0q5yKHyNpo7nTzx6iFGFyYxcVgKv7pnCla7F48viITE+t21lNV0YTKo+cntEzh+rp3bFw/DqFdxtLIdQRC4c0kJbWYXr284w33XlhKjkg+QPwP42sDm9CHBV94CBuEo+O4BBdD/CKIo0G7pPw3U6wuTN/MnZrF2e1Wv10VRoLQgicAl/pGSIGBz+zl4tAmZKFAw2EiqSYdckHorLUUBpz/E/rJWZKLAvAmZpCbo+Gx/PdNGppOfEUvAH0SjkTOpJJXJJWmIooDHFwAElHKRo5Ud7D7WxKO3j+eXLx+M8pEZU5TMkEwTH19QyRwqbyMYlCgYbGR43lBOx8cwe0Q83jNbiCm9HLa+3pPmdQkMI2biLN/T+wMKBTFvfpWkJd9Bpo/Dsvs93OcOoRsynvSVv8LTeBZX7fHI7oJMQcIV30TUGEi/7UkCcg2fHjHz6cHWXqceUZDIU28epesSj0anJ8Cz75/k+7eM4UxdF4NTDL2Oi1xLCBtAA7SZnRRmhk2Uff4Q2440sO9UC5NKUinJT0CrlvPNZSVs2FeHRiWnqcOBzenjqml5qJUyZo0bzJIZeXj9QXRqBRqVjHMNFg6faWfuhEwKs028v/UcZpuHvAwjcydksmFvHcGQRHG2CX8gRHlNF2suhLgYdEquvbyAH68ax+7jzWw90oAkwfRRGVw2Mp1n3z/BLQuL+31vALJ+TJ5H5CWgVsoI/C8VaQMYwP9P+KdawKZOncru3bu57rrrAFCpVCxZsuRfcmP/TZAJ4eSvcUNTeGr1ETy+IHPGZ/LgjaP4cEc1tc02Eo0als7IIy/DSFe3m6w0Ax2WcP9yX3C4/agVMuQykUAwRIJRw8LJ2VQ3dhMIhbhhTiHpSfoIQdTnfYkCje2OqBScS6FWyvjhrePZcrCeXcebuP3KYiYNTyFGo6QwSYCSAN7GcmTBZN783hhe39HG54caMcWqmT8xi4RYDS63j5z0WOQygUdXTaDb4UUmCmjUcj7bf55D5eHqe16Gkatn5bPpwHkEwpWbS1OqkuI0lGZpcH/Q2/jVuv8jEhfeRcfHf45a5Mp0scTPvo22D54maG1HYUolfuy9xGepSTeXYX79DwiiiGf0PHR5o0mYfwfdhzfiOnf4gpF0/xA1MSQv/x6O8j2Ra5pm3kz7umcIuXoqF0GHlY51fyBp8QO0b3udhDmrSJh/J77287hrTyLTxKBKzYVQEEGpIWnZd/F31CPTGdHojFj3fxiRC/fCuV1MHnID5xq6mTYyA6fbzx1XDed3b4cVGqeqO1k2I4/PdOd7yeJVShlLpueiU8givdxapcjjd03k/a1V7CsLk4UTh6UyY8wgfvfWUR68YTRf/ZT+vxs+CR57YX+kUgawdnsVdy8rYWJxEr//9jTe3HSG/afaUCtlzJ2QybwJmQjA0apOXt9Qgdnm4Z5FuQxLye6/DUsTS6C7g9Y1v0Q3dAoJ8+9EptET9DjDiqCADwQBQf4lyT6iDEVcKsqEDBwnt6HNG03A3ErA3kXQbcM0/UZ8bbV46sujjkmYezvd+z8k5OpGUGrQD5tGoLsdbeEkfHYrLoURdCZe/qwhEke8/XjPpPnhFWNJitMyPDeBlz8+TVCSWDApG4Bjle18tDMc+z4oOYbLStMpLUjE5vTx+oYzON1+bppXyM3zirDYPchlIjqNArPNw+TSDPz+YCRtJivVwHeuH8VHO6sxGdS0m10cPtPGuOIUHl4xFrPNQyAYCkvjBYGD5a20W1xkp8XidPvZeayRJFP4Pg+Vt9HU4eDupSU8/tJ+JCmawzHbPHywvYol03N5ZX15FMG35VA9E4encvuVw1ArZAgDvnwD+BrBfCEQ4t8Rxa5VDxBA/1MEgyHyB8f1+3qiUYNCJrBgUljBffqS2HaZKPD9m8eglvcoD0OCwIEzbZhi1JgMahra7NS3OS48e/VwCVEkCAKNnU6eeutYJEBkx7EmjHoVP79rEga1SCAgEQiEWDAxmw93VPPMmuN4fUHuvXoERypa2XeqZwzIyzDy/VvGIkkSVoePGK2Csw1Wnl59JOq5erSynRvnDWHt9ir2nGhhfF4MSYMK8TZWknTVA7R/9Ae4pMihyihCWziBltcf7fMzEuQKQm47HR//kcQrv4Wn7mRYbV5XjSotH7W+CJlKhyBXINPFEnTa6D70KfqiiYS8LiYJTUyYP5huVQ5/+LiO1i4XWakGFDIxivyBcGFn2cQk0rU+ho5PotOrRCkX8QV6k1al+Un4gyGUcpH0RD23LCjiwOk2NGo5N88vYvvRRrYcaiAr1UBxpoFxg2VMUAUIdLcgTy+C2FTWHuygprmbUUOSqGuxoVMrSDCqee3TM5F5+85jTUwqSeE7N4yivtXOyapO/vLeCSYMT+X2xcNoaHPwl/dPRHUI2Jw+XviojIdXjEUuFyJjdafVTYfFzTeuGo7F5iXRqKHD6u713pJNWkQBHrhuJCqljMYLyWc2l495k7Lw+oPI+vy2BjCA/y4I0j/h2lxdXc39999PUVER1157LYMGDUKl6p00YjQa/5l7/I9CMBjCbO6blOkPkiDw0e5axhenELiQ3tNhdVOcbSI1UU9Tu512i5u8QUaeevMIFrsXry/IwyvG8sSrvY2ML+KXd09GECDOoMLc7eWnf9sfJYMdMtjI8lkF/OLl3ioigDuuGsaxsx2Rh/mliNEq+PW9UymvM2Nz+shOMxCjVVLb1M2kHAWWd39OoLvHw0KQK0m4+kc0SEk0dLgYnByDxe7hrU1nabe4mDchk/HFqchkAj978UCfffrLZ+ZTed7MgknZ2Fw+LHYvG/bW0u3wsWpRMRmGIIm7fxtluHcRcmMyCfPvJOD3EWg+izwuGVGpwbx9NQFLz0Qh7sYncR3fiPf0dlQZhcRNXkb3wY9x155CkCuIGTMfQ+nlSMEATS8+FDUZuAhVxhA0WSV0H1pP0uL7CXqcuMp3o8kdTcDWGUkBs5/cFiFvlKm56PLH4mk6iyZ7BDKNHnlsItY970WurS+eSszouXRufAF/RwOGUXPwNFXibezbZFuZmsv+1OvZVmbhB7eM5Y0NFew/3RKl1MlI0nPHVcP5ZHcNh8+0EZKgJC+BVYuKidXIo/YNCQJPvHaYwSkxEeO/oxXt7DnZjD8Q4qEbRzM8y/h3Payivhe5SFycDovFGakUJibG/I+P7wv/m9/gfyIEUeSNTZVsORytRhuSGcfS6XmIokD3heQPvUYBkoRaLiIJAgfK2/jL+z1ml0lxGn6xJB7Xh7/sdR1ZjAnNsscQT2/C11aDceJVWA98DKEQusIJqAcPxW9pI+R2oEhIo+W1R/q8X13RRESVDvvxnjQx7ZDxaLNHoEzNpWvbG+jzRiOPTcTbUo2o1qPOGoa79hSWbW+gyR5O7Pgrsexdi6H0cjwoOexI4W8fliGKAg/eOJpD5W3sONaI1xckI0nPykXFnKruZPOheq6YnEN8rJo/vXsCmSigVMjw+AKRyvM3l5dwtKKdUUOSoj4bAIVcZER+AuOGpvCX90/ywHUj+XBHNd+7eQwP/mFnpAUi2aRlzvhMSgsSOFLRHmWAH6tXUpqfSEl+In9+70TUbysr1cAtC4r4zRtH+MmqCYiysGGnIAgkxWnZX9YSRXiHj4lh6fTeRv0X8Z0bRlGaG/+/rnYO/A6/vujrufmfgkMV7Tz7YRnfWja8z3bu/0tsP95ETbONX9896Z86z1f1+f+zv0H4536HQQR++tKBqJTai/jODaMozTERCIQICgIWu5fyWjOxeiWFmSbUMiGq/cvpD9Fl8/DMO8ej0kU1Kjk/um0cmUk6Av4gAQSsDh9l1Z3ExqjQqOSs2Xw2YvZbWpDIqkXFYSVHSOKldacjbbpJcRqunlXAn9870ef7+e5No4iP1fCjZ/f2m1D1p+/O4NevH2Zwgoq7ZqehEgM4ynbhN7cQO2Yevo5GQh4HqkGFyNR6gi47be8+0ee5YkbPI+iw4qrcT9xl1yGo1KhS85D8Pqx71xI7dgGdG19ACgYIue3EXX4rqoQM2j54OirAQKYzIr/iYT4rdzNpRDprt52LIrhWXD6YiYk2QofexW9uQRZjImbScnypI7j7DwejQgDiY9X88NZxBEMSGpWc5z84FRUtLwhwy4KhaNVyclJ0xDpqca9/uleqbfzyH3LOLIIgcK7BSkKsmlfWl/dp95CRpOPb149Cq1YQDErIZOEkYa1azpN9dAdA2Cdo/qSsiKoWwkXnR2+fQGObnTiDmqdXH41qP9So5Pz0jolUnjfz9udncbr95A8ycu3sAuINGuIMCvy+0D9MAP0rfocDGMDXDf/U6Ltw4UIAqqqq+OSTT/rd78yZvhOtBhBGICTx+cF69pxs5ns3jyElQUtqog6bw4tCLhAMSsRoFew71UJrV8+gEAiG0GkUON29Uy0MOiVdNjd/ff8kv7pvKr94+UCvHujKeiuBQKhXpCRAweA4SguSiI/VcOJsR1QVQSYKfPv6Ufzl/eOcqg6TLfcsH8HabVXcvSiP7s1/jSJ/IGwm27n2V8Rf80vaFDK2H2tk5phB1LXYmDg8laE58Zw4105Ll7tfk8YdRxtZMiMPlVLGs6+fZHhuArcuLEatkpFi0vHOpnJWFEwleKS3l0nA2obd5cOlikdRc5ygwxyJ5AxDwDBmHlqtEsvpHQhKDXFTltP27q+QguHPV1c4AU16AZ0bnkOmjwubMm96Meo6olpP3JTldHz8JySvi84Nz2G6/FbiZtxEwNqBs3w39mOfIzcmYpy0hKDDimXn2/haazGOvxLLrjUYSmch05toeetnSD535POzn9iCp6GcpKUPIfk8+EIgT8jolwBSDJ3BkIQMsrPS+HhXTZ+Gz43tDn731lF+fe9UVi4qRpJAKRMQoVdLV0gKpz5UN3Wz7Uhjr3Odru2iNNdEMDggr/0q4AuG2HEsOplkaLaJK6bk8Pu3j0WntuQlcP91pVhcfix2L29srADCVdzLSxMwaGQoE9PRLvkuli0vE7SFJ4Tq7BJMl69k46lu5o2aA24bre/+msQFd+JtqaL7wDosu9/FOGkp6owheBoqiJ24hO4vJHrJYkzEjLictvd/HbXdVXkAbd5o3A1n8Nadwlt3CkGpRmFKRfJ5MW99jfRVv0ER9yDe5nO0f/QHQm47wtgFaEyDeeXt45Fn05OvHmLCsFTuu6YUmSiQHKdlX1kLH2wPexC8tamSn35jAg+vGAuA0+MnLkbNmVozNc1WCgebyEiK4enVvVPx/IEQh8+0M2vsYDQqObuONzEkM476VjtXTMmOqCQvtl69sREev3MSKqUs4qHR7fAxffQgfv7SgV6/rboWG7uON3PX0uEcrWznva1nI5VpQYArp+Zw3ewC3v78bOSYMUUpfNJH/O5FbDvcQGlufL+vD2AA/w5YbB4UcjHSgvJVQqdWDMTA/wOQC/DoyvG8vP40B8paCUlg1KtYsbCI4sy4CPklkyQSY5TMHJkWDhQISlHkj0Iho73dyepNFVHkD4QDJH775hF+dc8UREHgN28e4ewlLbc6jYIHrhtJbVM3+YPj6HZ46Xb6aDMHiDdqojzaxhensut432ldAB/vruVbV4+MkD+JcRqmjEhDq1ZQ29yNUaekutFK4eA4lg0X6f74aRLn3xlpTXZXH0VhSkVQquk+/Cnxs25BmZZPzMjZ2I99HnUthSmVmOKphPwe/J0NeNtqMc28GV9LNV2bXyHosBA7Zn6Uv5A2axit7/yyV3pl0GlFtv1Z5s/7Ln/77CwJxh5j5rGFCUzSN+D57NWe/e1mrJ89j2bkfP74rSvZV2mlzeyiYHAc+YOMHK1sR6UQsdp9UeQP9FhI/PLuySh8Vjyf/i6K/AHwdzVh2f4mB5nGun1NTBqeStFlOf16fTa2OwkEJBra7Lyz+SxtXS5mjBmE8CVePE0dDuJjo32MPL4gO482Mn9SFm1dLn51zxTKarqob7WRk24kf1As6/fWsvlgT1HsXIOVX7x8kIdXjEOrkaNRDLSADWAA8E8SQPfcc0+UB9AA/ncQBYEEo4aGNjvPf3iKxVNzWb2pkruXDufzA/XsPdWCSiFj2qgMHrhuJH9+7wT+QIj1e2r5xuJh/OGdY1H906IAt11RzCe7alk8LZf6VltU7/Ol+O2bR/jz92Yye9xgth1pJBAMMbowGZlM4I0NZ5g9IZMfrxrP0cp2GtocpCbomDV2EHtPtkTIH4NOiUopIyc9FjwOfHUn+7yW5HURsLSw/5TE4ml5dFk9DE6OYXJJGr98+SBTS9Pxf0k1zeUNoFLIqG22UZRl4lR1Z2TwunPJcGpbHXinTEZRta8XAaXKHklLMI5kpRzDtOuQ/F4EuRJfSzWe1hriplxNyG0n5HGSeMU9+O1d2I5+FiF/lKm5qDOH0fb+byLnFESR5Gsexl1znIC1HXVmMZrsEQTc9gt+Jp8StJsRlRq8zVV0rv9L5Fhfq4POT/9K7ITF6IdNw9NwhqDLBlIISZLwtpxDpokh4IuWuPrNLXgaztB9eCMxJdNR5I1HkZyLvy3aaE+RnIUroYgdR5vQquUUZZvYsK+uz891RH4CChFkEuEYL0miPw2PyaDuNYG7iPQE3YAP0FeIkETEV8agU3LVtFzGFCXz0B929pJ9N3Y4aO508dgL+3joxjHYnD7uXZRDscGOePoDgk3dBH3FaEfMIPmaHxCwtCEIIp7GClrffJQJE68l5ByE7cA64mfdjGXvWnwXklEM469Ek1mM39KKwpSKevBQdPljsJ3YQsjZjbZgLApTKu3r/ojk750YYjv6Gboh4yP/l3yeqFY0Z+VBPA1n8Jy/UAmUyRH18Ww6aWXuhMwIwRMMSew52cyek80Y9Sq+e/OYqPbV9EQ9EvC3j8qipOMThqVw49xCHvrjLr5/yxg6rX3/fUM45SvZpMXtDaBUyDhd08mkkjR8/iCf7q2LPL+Kc+JRyEW+e+NoXvz4NC2dTjKS9JxvtfVbed59oonFl+Xwu7eivd8kCT7aWcN3rh+FMUYVaYlIT9Jz8HRvf4iLcHkD/V5rAAP4d8Fs92LQKv4tc0etWo7PH8LrC6JSDjSC/D1IkoQc+MaiYdw8r4hgSEKvVaIQJXze4Bf2pV81lCCARiWjurG7z9etdi/+QIj3tp2LIn8AnG4/v3/7GI+sHM+P/rI7QoynJ+q4bvaQqH2VCrFfQ2oImye3mZ0Mz41n7NAUdBoFWw830O3wMjTbxPzJ2by8roz7FufjWf8b1Gn52I5tijqH39zjlWk79jk6hxW5Po6kJQ/iPHsQyedGVzgBZWou3vozOGqOkbTkO4Tc9rDaXJShTMrE4/MgXeIpFDNyDkGXPaJgFzV6tPljEZVqvM1VeJvPofHaOVzRzqMrx/PZ/vMEQxLLxifi/ezZPt+v+/hnyPNnsL+slRljMtBr5Gw+WE9Gkp4Eo4Z3Nvdt7wDhgt681E7Mwd4FZgDv2f1MvXIR6/Y1sfdUC/MmZfV7LgBvIMgvX+npWDhV1cnU0vR+9zfolH1+lxXnLcyflEVlvYVfvnqIrFQD+YOMlOSZaDW7o8ifi5AkeGPjGb65rARi1ANWBQMYAP8kAXTffff9q+7jvxpKmcDVM8NS/urGbvaeauHHK8fxyF/3YrH3LJjONVgZlhvP7VcO49m1J0mJ1xGjU/LoqglsP9pAU7uT0oJEpoxIY39ZC+caLNwwbwiNbb3luxcRDEm0dDppN7uYOyGTrYcbWbPlLB2W8AKppcvJFVNyGDc0hcvHhh/IZVWdEcM2gMwUAxXnLQzNMuH1dH9pxKLod1JZ78PrC5Iar+PKy3J487MKQhKcrbeyeFoue79gRn0RIwsSqagzs/dkM9+9aQxvb66koi5cPdl+tJF7rhoKeIm/+od4a4/jPrMHQa4kWDiLmKwicPng8BraKvbCBYojbsZN6IeMp2X1TyNVF5k+jqSlDyKIMkI+D57zp4kdPQ/zjrei7sdxagfOc0dIX/VrnGf24zyzLxIFqs0bTdKSb9P+we8A6QtJDz3oPvgJKVd/H2XiIOyntqOITydo70JU6Qj5+jZg9Jw/jSppMJZtb5CUnI1z0p3ou2sQzm4HJKT8yzDrcvnly6fx+IJ8/5axWGwehuXGU1YdbZCt0yi4ZlYBoeDfl7Gr5QLLZuTxwiWS3IuQy0RGFSb9x7Uj/CdDIRMYMjiONrOLb98wio376lDKZRHyJy5GRVGWiWBIoijLxGufniEQlIg3KHjhW6XIznyOfc+GyPn8XU04ynaQtOQ7dG18IeJdpUjIIDYtE0EuxzB6HiGfO0L+xM9ZRaC7k6ZXHkYRl4IyYRCCSot+6GQEmQJRawBBjmXXuxFV0RcRctkRxP6HooDDQsyoORECSD9sGsdbBF7aWMW3rhnJ7PGD2XKwPrIwSI3X8cD1I9lf1sLN84sYnBJDMCiRbNLyxsYzvXwD9pe1EqtXMa44Gb8/hFwmREnmL0WsTonT7WfyiDQOlbdRkhdPh9VNaX4i00cPoq3LhVwucPa8lZ/9bT+xehXfXDYCkBAQKK/r6vO8EFYZ9ad+NBnUtHQ5uWleIS+uO40kSRQMMlI6JJH6Nnufx0wtTUcpF/AOFDsH8DWCxe5F/2/w/4FwUhJAt8tHkrL/eOsBfAGhEGqZgFwlI86owWL5x1rKAoEQMpn45fsEQ+w61rd6x+n209LpQK9VRp6RXd2eXiRi5XkLpQWJkQjxL2LC8BT2ljVz26JiPt1bx+ZL0sMa2x3sPNYUToCV+bC11qBOz8fX1Vs5DeEAD1VqHorkbDo+/iOmy1egyRyGp7ES694P8Hc1oUgcTOKi++jc8BzepvCcWVBqiJt6NbHjF+GsPIgmdxQxwy7Db+uIqIHiLrsWhSkNx5m9BLo70OaOxDhlOdYLqWkf767h/mtH8sJHp9DJfIR8vb1wAJBC6EM2zrfaeG7tKX7/7WnsK2vlbx+V8dv7L8P+JX5YXl+QoKtvwu7iuUWpZ3AJBEL9eg6pFLJeaXJ1LTZuWVCEQi72WfidNyGLbYd7K82NMSp8/hBTS9P5/GA9dS02ls7I48V15RRlm/q93fpWOwqZyOHyVqaWpBEIDAyMA/jvxlfbgD2APhEMhhiaFceiKdl8sqeWjEQd6/fURpE/F1FW3cXlYweTlqhj4vBUHn/xACqFjJWLilk6PZ+TVR28t/Uc8bEaHl01AblMRmqCrt9rG3RK7C4fxbkJnDjXQbvFFbWIr2228cc1xwH48crxHKlo67VICbv/y/H6gzhlCgxaQ5TR8aUQ4zKw2sMmcVqNnDGFyZGIy5YuJ3qNgkHJMTRcWNQo5SI5GbEo5TLmT8riZ38Lt7L95o3D3LJwKHdcVUK72UlxqhzfwbU4Tm2nLRRAlVGIbsxCXIZsmuwyys6YGWn5HFdFT1qDTBeLIi6Z9rVPRbbJ41JIWPBNAFQpOagzhiBMVxAK+Pv0FoodO5/OT/+KpzZa9eSqOoKEhGHMAuR6U5/HAhAKEvJ5ETUx+FpqSFp8P9YD64i77DoMI2ejSssHScLX1YTt6CaCtk5EtS4yUbDtXYuvdAVP7JYxacgyZo0dzBNvnaKmqcdINxSSeHFdGfddW8rowmS2HWnA7Q0wpjCZ+ZOyUF4wiv17dmCBQIjxQ1Ooae5my6GeKotGJefhFWPRyEWkAcXBVwa5ALcvLqbT6uGFD0+hVSsw2z3kDTJy3ewCfP5g2NhRJpI/yEggGGLmMCOmln3okzJoPbKh1zklvxfr3g9ImH9neIKniUEKBuj4+I8ErG3oCieCGJ7IqwcXE/I4cJ7ZS/JV38ZvbcdvaUWTMwKZ1oBh1BycZ/birNyLevDQHgXPF6DJLiHk7191o80pRVSoEBRqVOn5WHLn8ZuXy5AkWLv9HA/eMIp547Nos7hQKkS6uj1s2FvHgsnZPP/BKV7fEG5BNsaouH72EBKMml5+OtuPNPLA9SM5dKaNySVpvVrrIDyJTTBqQIDsNANvbqzgG4uHXTDkdPP+tnNMH5XBZ/vPU9vcTWaqgbkTsjhV1cmaLWfRqeV8c/mIft9nRpIeiz36c1ArZXzjquGIgsDxs+10drv5/s1jSInX8ad3j7F8VgE7jjbS7Yh+JsfHqpk4PPUf8uMawAC+Cphtnn9LBDyAVhW+rs3pI8k4QAB9VQiFJGJ1StRKGZ4+YuUFIVyM/DLFosXmRadRROafHl8QhPAc9uK2spouls7I61OpbNSrGFmQRCgkEQpJUeTPRXh8QVZvquB7S3IQlBoEtR5tzkg8dacAUA8aSkzpLBSmVBBleBoqcJ07TNKV3wJRRtuaJ6KSwvwd9bS9+wTxs1bQfoEAknxuzFteI/maHyKPMRE7ZgEt7/+aYFcTqTc+RuyExQTsZiw73+m5r/NlyPRxJFz3E1RKGSfOdXLVZbl87+YxxOtddNA/5CpNpMBX3dTN0CwTwWCIumYbQ7Pje7WAXUR2mgHBmNv/eWMTaXX1fF9bDtVz/dxCXl1f3mvf6+cOiZozXsT726r49vWj+NO7x3Fd0qVw2ch00hJ1rNlyttcxCydno9MoqG608tCNozlS0YYoCrSaXZQOSez/fmUCcrmMulY700r73W0AA/ivwQAB9DWBKElcNTWHeROzEASBH/y5d5rVRRyuaOOqablsurCI0ajlpCbq+PFze6PImY931/DQjaMJ+INMHJ4SZRp3EctnhpO1ViwYikwUyE4zcPnYwchkAi+uK4ssLFLitaTEa5k4PJW2Lhe7T/RURaoaLFw/Zwgf76phbFESoyZeh2fL872upSkYz8FaN8GQhEop43hlB+OGpkTt89wHJ/n29aM4UtGOyaAiM9VARZ0ZuVyGQi7jl3dPornTSYxOSbvZxW/fOMztC3Lx7HobV8XeyHm8jRV4GyvQDpuGOfZyCpLkuHbvjLqWftg0bEc+6/kONDEkLXkQb0M51n0fEnRYEORKdEMnEzvuCrQF43GdPRB1DnVaPtZd7/b5PbmrjmKcuBRkX/4zE5QqHEc/D6eGndmLafr1iFpjpJIE4Ra0hDmr6D74Mdr8MbR/8DvkxmQIhTDpROpb7ThcfsaWZlPT1EO+GXRK4gwqdBoFf3j7OHMnDOaBa0fSZnHh9wdp6XAiiAJ56bHQj3ePIIAoioRCIUQpxM1zh7BsRj7nW2xo1XJSTFqUMmGA/PmKEZRAq1ag0wRpbHcwYVgKl5Wmk2jUcPJcJ1lpBkYXJvHSx6fZcqieG+YMYXxsC54T2/EExvV7Xm9jBXLj7TgrDqDNH0PL6p9GzM71I2birNgHQEzJDMy73yVxwV10rP8zCmMysROuxLr7PbwXFELqQUMxTloCChXikY29iGFBoSJ23EL81g4QxF4xuwpTGvLYRNx1ZaSseoqKRhe/ebMCjUrO1JEZjC1K5tHn93PX0hL+8t5xHO7wJPJnd0zk8Rf3Y3f1yNetdi/Prj3Jd28azdGK9iglkNcfREBg57FGHl4xlsZ2B9VNPdVPlULG/deNpKHVxr1Xl/LHNcdYdWUxFruXJJOGmmYbu483c6yyg6XTc7lyai7Hz7bz2qc9pphOTwDHBVPKvirUN88vorkzWq35wHWjWLu9irP1PT4Rnx+oZ9bYQYwoSOK5D07x4A2j2Xq4gf1lLQiCwOQRaSyfkU9SnPYfrtQPYAD/17DYvSTF/XvIl4sKoP6UdgP4v4NGIXD9nEJe/uR0r9emjx6E2xuIInO+iKxUA8tn5qNTh1MYNx04z7ubz/LQjaN58rVDEQLhxXVl/HDFWPaebGbDhTnylBFpLJyczenaLkYXJrG/j7nwRZyq6sInH07ytT/CeWob6owhyHSxGMYuBATMW18j6OxGkCvRD5+GNreUtrW/RTdkAqYZN2Le+nrU+YJ2M1LAeyHlq2dMse5di274DDyiGmH2d4gLWhD1JjS5I2l987Fe9yWFggTba3jlO6MJhuBQjQ2rK0RWSRzKpEx87ed7HSNqDYhaA8kmLY0dTgIXiJ/lM/NZvbGCq6blcrq2q1frfmq8jkHJMQSQoxw8DF99H6rviTfwzo4eq4XObg+zxxm4Z/kIPt5dQ3OHM9ymN2cISXFaXvmkNzF0uqYLfyDEE9+cQl2LDafHT4pJi06j4GB57+/oqmm5JMVp+PFze5k3MYsth+tJjdfjcPlpaLOTnqhHFIU+rQimjEhHFGDs0ORIsu0ABvDfjAEC6GsEQZKIUcmo73Qhfkl/vEwQyEs38sG28CJrwaQs3txY0WvgDIUkfv/WUR6/axI3zisi2aTj8wPncXoCJJu0LJ2RR7vZRXmtmW6Hl+c/7HnIpyaEXfuffPUQHl+Qay8v4DdvHKGuxcYzD07HqFdhdYQVSiEp3II1Ij+BhDgtZeZBjFr4AK49bxGwtiGqtMSMmIWmcCLZ3TJitAqG5cTzwfYqjla2MzTLRHldWCFjd/n5+UsHePDG0Rw/28HrGyoi9/T2pkpmjB5EUZYJi8NOfoaRZTPzGWQI4rqwKP0iXKd3UbR0PkLQS+gLi0t5bAKO07si/4+bfj3ehnK6Pn85sk0K+HCc3Ibf3ELCvG98gQASCPl6q7SiISH5PChMafjNvaXEgkobXjhPXIzkdaIvmoSg0NC6+jFCnp7Fm6+lmrYPniLtpsdBJiftlp/jri8DUYZMI7JsSjpjSrJ4Z3O0IfR1swtINWm5a+lwUuP1bDncwDufVzJ3Yhbrd9dSVtOFSiFj+qh0ls/MRw4RJZAoCvhC0NrlotPioiAzDpcnSF1LN/GxanLSDahlYZPyAfLnq0VIEDhU0c5HO6pZOCWb4px4Jo9I46FndkV8gSA8kbv4O86Ll3DuXoOoNSAIf0eOb2kDmQzb4fU95M/w6XhqT6LNHYXjxFYEpRpd/hi6D60n5LJjXHgPbe8+GfHNAvA0lNP+YR3Jy79H6vWPYtnzHq7KgyCFUGeVEDdlOZY9azGMnkfy0gcj3kKCTIGuaCLGycvxdTUiyGTYzV1oVTruWlqCxx/kwOlWHn9xPyEJjlS0ccdVJfzu7aNkphho6nBEkT+X4sMd1cwePzgqoUunUWCMUaFVy/ntm0e446rhmAxqqhqtGC+00omigFwUaOl0hJO6RIF9p5opr+kiRh9uaXG6/by+oYJHVo5j86H6XsqcV9eX89T9l/HJ7lo2H6rH6wsyOCWG62YPYXBKDBqVPGIcPTTbRF1LdxT5cxFbDjXw3ZtGY3P6ePylA0wZkcbjd07C4fax5XADFfVdpCfp/85f0QAG8NUiFJKwOn3oNf+eFjCNSo4gDBBA/w4EAxKTh6dg0ClY/VklHVY3Bp2SeROySEnQsubzs1w1LZfXPu0dGlMw2IhaJePN98Im0qnxOhZPy8Vq92C2eXjktvFYHV5SdUESlW78bQdZmBXLVWNLccn0rN1ey89fPsB914ykucOJ50tMgAUBlPix7l6Dp/Yk7vOnSb7mh7hrjmPZsTqynxTwYT/2OYHuDuImL8ey8220eaMQ+1DA+82tyGJMUQSQv6sJ5aChvLi5jpunZ2CxxSGa2wk29X7/6sxhxI5fRPf+dXjqn0GQKxk+fAa+wrk8+loZP7jyLsSPf0nI3dMOLMiVJM6/E8fed/jxohm8e0xPQqyGZ98/ybDceAanGtiwr44f3DKWd7ecpbrRSoxOxaiCROZNymL7kUY+2V3Dyw99E/vhDfjKPg/PZePTkU24ng3Vcmqaeua018wqQCEXOX62gxmjB5FgVJOTFovF7kGnlqNVy6NUPhfhcPkor+3i9Q1nUClkOFw+nrhnCpOHpzFtZAYnz3WAIFCYGcfRinbuf3oHcplAu9nFTfOGUtfSjckQNoveuK+OO68aznMfnOTSKWlago45EzJ54rVD/GTVhAFl7AAGwP8HBFB1dTU///nPOXbsGDqdjsWLF/PAAw+gVH75BEOSJF544QVWr16N2WymqKiIhx9+mNLS0q/mxvtBMCRx4lwHE4en9mvaO644BaVSRlqijpYuJ9lpsVGLmUvhC4Swu3z4/EFEQeDOJSUoFCLdDh8b9tZR12JjxuiMqCQFgJZOJxv21rFwcjbxRg11LTbqWsKDWocl7Dny3pZzEflo5Xkz8ydkIooCxpgUVBIoxi9CpjOGSZTTu+l+7UfEZZXw1J13UGsJ8oMVY9l3qpnbrxrGT57fF1mwmWLVeP1BPu9DorvtSAMleQkUZify47/updvh49Vv5uHqz7ZYCiEPuvGJ6vCi9xISKGDrQhGXGmmnUqfl0/r2z/s8jbexgpDPjSIpC3/7xe9FQlD8nb+zgB9vSzWmWbfQ/uHvkS5tdRFEEuasJOCy0b33fZSpuRhGzsZRtouQx4kqNRdN3igEQYb7fBme82XYjmxEkzOCjnV/hMh7Flg09RosUgpHK8IVGYNOydIZebg8AXYcayIYkqhq7GbLoXoevHE0v3j5QMTnxOsP8tmBek7Xmnl05XjkhMkfuzfIT17Yj8Pl4wcrxvK7t49FmThq1XIeu30CSQbVgPnzVwRBCEfz2t1+FHKR268ajlIukhKv47dvHIkifyDcVvnJrhouHzuYWLVA0Gkl6LKhSs3r9xrqzGF4mqsQlSpCfj9xU68BQUSVWUzrmz8lTqVBXzIDye9BkzUM26FP0RdPwVG2M4r8uYiQ14Wr6gi6YdOJGTmHmBEzEWQKJCmI48xeYoZfFq5UqrSYZtyEIIoIciWiWk/Hp3/FW99TMdam5JEy+U4efvl0lNdA2D/Hy11LSuiyeaio66flknBb65WX5URtWzg5mwOnW/jWNSMx6JT4gyHsTi8VdWZitEq0KgV/eOcYySYtgWCI5z44xciCJJZMz8WgUxEIhnidnon7S+tO8+3rw8/Ispqw709qgo5bFhTx3pazaFQKfn7nJERRoLymi0PlrdQ2d3PiXCffu2kMqzdVMGFYKhv21vX7Pg6ebmXFgiLaLW6Kc+L5aFc1u4+HJ+Slef1L4QcwgH8XbC4foVA41fTfAVEU0KrkAwTQvwmiJDE6P4Hi7LA3nSAIPLv2ZKTVZ1hePLcsKOLDHdXYnD5kosCU0nSunplPm8VFTnosZpuHli4nf117khvmDqE4Jx6vL0AMTmS7n6erqadoKCjVaK/4Hg2t3cyfmM0bG85w7eUFFAwy9nuPY4qSUPjskbb+gKWVgLWd7v2902UB3DXHMYyZD4KIs3I/2rzROE5ui9pHHpcclfYF4ZQwuUzghowGut96FkEKEZpwJVIompwSVVqMExbT+t6vIBgmUKSAD+exz1CcP8mqWd/i8bUNPHDFIyT5Gwk0nUFuTEKZlIl1z1q8TZVweg8rrn2U14+E/TW3HGrg5gWFfLijmuZOB3ctKUGnUdBpdaNWyVArZRw604ovEOKRV8t58Por8WdPRZRCqI0xrN7RzOYLLV3JJi3XzxnCruNN7DvVwg9vG8cvXz7InAmZJMdpeeSv+5gzfjAPXDeSX712OKrN72KL8/MfnMLlCZAQq+GOJcN587MKjlV2cNnIdCaXpPHmZxW89PFpQiGJ1Hgddy0rYeexJn724n5EUeChG0czODmG/WWtiKLAo6smUF7bRbfTx4j8RLQqOU++egib00dNUzdFg2IH5qwD+K/HfzQB1N3dzYoVK8jKyuKPf/wjbW1tPPnkk3g8Hh599NEvPfaFF17gmWee4aGHHmLIkCG8+eabrFy5ko8++ohBgwZ9Re+gN0RRwOb0MnF4Gkcq2mi3RJu7jSlKJiVexx/fOcbSGfkcqWj/u2x2t8OLXBSZMyGTV9eXs7+sBUkKx7nPHjeYEQWJPL36aK/jDp1p49rZBTy39hSV9RZK8hKYPzELnUbBqaouhmTGsWhqDpIkYbV7+ezAeRZflotR7sWy9i8ELL3NnL11J1CM7OTp1XVIIYlVVw7D6wvy87smc6yynfI6M1NHpPXZn30R2482EqtXUpRlorqxG5nqy+XkkkzFzjN25gyZiPcSDyBH2Q7iL78NT0NYmioF/FEVmi/C136exPl34qo+gq+tDrkhAXmMKexvUt9b3qrJKUVQalBnFBB02khb8Qv85mYcZTuRGxLR5o3EdmwL+qGT8NSX46kvRxBEfB31JC19EH9XM86KfUjBINr8McSOX4R19/sokzIhivCS6N71Dqarh/Dre6fiC4bQKeW8+PFpjp8Ld4f/eNV4Tld3MWvsINbtqu7T5Lax3UFdq42CNAO+EPzylUOYbR7mjM9k65GGXgkeLk+An/5tP0/ffxmKgTDA/3MIAvgReHr1USrO90wmf3TrWGwuP95+qppHKtr4wYpx+EJ2FAo1kt+Dq+oIhrELsR35jNgx81FnDUMK+BEUSuT6ONrX/4WE2atAlOE8vTucViIIJC//Lp3r/4ph9BzkcanheA0kFImDsZ/Y2u+9e5rOEVM6G/Oe91AmZREK+NBkl2A/shH7kY0ISi1pt/wMy641iAoVhnGLaH3rcUJfiMP1t1ahK/+Iy0dP4dMDPdXHUUOSeHV9OTfOK2Le+Ew2fcnzI9GoiShzVAoZ8yZmYdSreP7DU5xrsHLrwqH89G/7iTeoWbFwKCqFjMdfOkAwJEVIcICjle1kpRkYlKQnRqtk0ZQcPt5dA0Bzp5OnVx/lisnZ3LlkOP5AiLMNVt76rDJi2vzJnloml6SRkaRHr1Eil4lcc3k+ggD3Lh+BQi5j7faqft+HyxPA5QlwqrqTtdvORVU8C7P6N8McwAD+Xbjoa/jvIoAgHAXfPRAF/29DIBBCDshFAUEUMMaoIq+t/qySYbnxfO/mMchlIjanj8NnWvnO73cAcMuCocTFqCLFwS2HGhhTlAIBH9ryT/FeQv5AOFHS9fGvWLXwp1gkPa9vCAchlFd1snByNuv31Ebtr9MouHFuEY6W49E3LQi9xqKo99TdgUxrQPJ5ELSxUa/JdLGISg1BhzVqu3Hycjo/+QvGyUvpdnYDEtbd75G06FtcOtPSD59O9+ENEfLnUvjNLcT7WwgEQ/xkdSW/uyUbbLvwNp/Dsn31JXtKOLa9QkH+bWwCPL4AoiDwyMpxgMCazWcjhQogQrL8ac1xalts/OTFQzy8YiwdNi9uZziReFxxKqGQRLfTy4c7qiNj49ZD9Tx+50ROVHXS2BFuad50oJ7Lxw7i0VXjOXymnTaLi8HJMZTkJdDa5eTBm0YhInC+1cZr68/Q0hVWv+881kRmigGVQkYoJCEKcOfS4fxu9dFIBwLAr18/zPduHsOazWfZe7KFfadaGJpt4rLSDPyBII+9fjiy77HKdoZnx+Hrw4tqAAP4b8J/NAH09ttv43Q6+dOf/oTRaAQgGAzy05/+lDvvvJPk5OQ+j/N6vTz33HOsXLmSW2+9FYDRo0czb948XnzxRR577LGv5g30gWAgxPyJ2XRa3Xz7+lGUVXdxpLINlULO9FEZ5A+K5Uydmcp6K0cr27l98TA8vgDxseqI18QXkWjUEpIkapu6SU3Q8cNbx0Wi5802D4+/dKBPNjwUkmg3u6mstzB73GByMmKparQyqSSNccUp+ANBvP4ga7dXceRMOxlJegRRwGqxInyB/FGl5SE3JhN0WAm2nyM13khdi41n157kZ3dM5JX15UwZkcb1s4fQ3OnA9iUTNLvLx9l6C/MmZtFudlHR5ic9JTsqOvoilGkFtLhldDhCiNOuQR3w4qkKDwZBh5WArZP4eXdg3vIqiLI+fUguQh5jIuDqRgoFUaZkI+qMIMpImHcHnRuejxBJAOqs4cTPWUXHJ3/G23hhUiKI6IunYhgzn+7962h9ZyMxI2fjPNPjXRR0WIkdtwjzttej3k93ZwPO8iQSr/gm7i8YTl+E58jHnE1dSnWbl+mjM9BfMsnedriBRVOyabO4Wb+nrt/Pdt/JFoYOjotU2QBGFybx60sG0Evh9ARo6nCSnaz/uybSA/jnEELgr2tPRZE/AGu3VzNjdEb/x0kQDIXYcNzMihGzcRz+GNuRjRinXkP6yl9h2f0u3Wue5CKpqMoYQtKi++j46A9RvgKWHW9dMEm/k7Z3n0RReYjkpQ+iSMgg5HUi08X2SfpCOFkPUUQ9uBjP+TJEbQwylQ7j5GVY97yP5HNh3voGCfO+gbP2FCGntd8Jt7dyHzMWLYwQQEOzTfj8QSx2L+t2VpOVaqAwMw6ZKPRpKrpkei7pSXoeXTUerVrBJ7tr+GhnuJ12wrBUXlx3Gq8vSHOnk5YuJ3KZ2K856ecHznPnkhKSTFomDE+hINPIzqNN2Jw+RhYmMSQzjnaLi1fXn+kzrWvPyWYeXTWeYFCivM7Mk68ejqi4Fl+Ww9ii5D6VkBBO+Xp/2znOt0afd9GUbHSqgYjrAXz9cNGYN+bflAIGYc/EAQXQ1wNSSOKmuYV4fUH2l4U9X+pb7bi9AX7x8sFe+/9tXRk/um0cu0804/YGmFqazsuflPHQ4iy6y3f0fQ2/F62zCZu+EACZTOCz/edZOiOPh24czY6jjdicPoblxjM8L4GWTge5yujgFEEmAwToR2kuU+sJ+Txo88dGFULkcakkXfUAnZ/9redcciVx02/Ab25Bk1OCu+4UMeMWYj/4CZLPg9/cjLZgLK6z4ch0VWou9uOb+/0M5Q1HyUmfTJfVQ7D+BL6a4732UcSno4hPpygzDrlMZGRBEi98VMbN8wv5eFdtFPkDYeXws++f4NrZBfzp3RN0dXuw2LxsPVxPaUEiFXUWth/tndAFcKKqk2G5CSQaNXy8qyay/bkPyrhjyXDsLh86tYLy2i4+3FHFgknZeHxBPthexe2Lh5Fk0kbmngCbDpznyqk5nGuwMrowmcNn2qLIHwi3dD7xykF+eOs4Vi4qps0cnjvsOdnMzi8EOiTGaRiYqg5gAP/hBNDOnTuZOHFihPwBmD9/Pj/5yU/Ys2cPS5cu7fO4o0eP4nA4mD9/fmSbUqlk9uzZfP755//Xt/13EatT8uneWjYdqGfI4DiKsk3IRAGL3UOHVUVuupFbrxjKhr11tJtdLJ2Rx+2Lh/Gr13ov0i8fOxhRAJlMJO0CgXNxYFXKRb5785h+pZBJcRpEMVytGzs0GblMJDfNyMsfn44MGFq1nOvnDGHlFcVYHT5eX1/OvQsy6L5ApCiTszFNvx5vcxW+jvpwW1NBCfkt5kjFYNOB8xj1Kv645jixeiWP3j6B4px4apv7ThIrzonnXIOVD7ZX85tvTeWPa45z/8K7UWx9Bn9nz6CkSByMYcF9fLSzHZko0GCXYRx9C7rRV6PBiyMo47xXTkECJC2+HwQR7ZDxffoJCSotMp2R1jVPknLtw/jaGxAUSpyndxPyuombdi1IEkGXHVGpQlBqaHv/t/g7LjHmk0I4ynYgKNWIah2anBHohozDuvcDVIOKEEQZQZ+LoMPSJ5kV6G7HXX8af3ffmQ8hh5kYlUhdi42fPLeXu5aNwOrwUlbdhdnmwWhQY7Z70WsUvQbQizDGqJAkKapXW5L40nQOs81Dbqq+Pw/p/3oIAsjlMiRJikrY+0fhCYQ4Wtnea3tVo5XlM/P7PS4+Vo3LE6C62Ylu0UJ85mZ8NUcIOq1Y936Aq2I/glKDKjkbKRQAmRxPw5k+TSUDlla8bbXETrkGzeBCbCe3Ej9nFZ2f/hXjpCU9ZOcXEDt6Hq1vPU7A2tNq6qo8iGHsQgxj5mM7vAF3zXECYxfQmTAaY+eJ/j+IUBCVTCIr1cC0URkkGNX8aU14f7PNg0wU+Hh3DfddU8pf156MpM4IQvh5GAxJvPJJOTfMLeSxF/ZFXk82aUmK03LmQvtYdpqBKSVpfLCjut9bsbv8yGQCHRYXTneANzae4Ya5hQxOicGgU3KqqpPMVEO/Ue0AFrsHh8vPB19Q+3y6t45HV01gz8nmXt4JGUl6CrPieOjG0by/7RzltWbiYtQsm5lHTqoB2YAibwBfQ5htXuQyAY3y30dQ6tVyuvsZ/wbw1UMmSXxjUTE3zSvC4fZhjFHxt496G0VfxPYjjUwcnsrWww3kZRh5b+s53O7UPtuPL0JympHHimhUcrYcamDJjDzWbD7LiIJERuQlkJth5MS5DpDCc2WXMh6ZRo+o0CCPS8bX2YQmuwR3be9xSdQakJCQ6Y0ok7OIm3YdSBIybSy+znosu94hdsx8ROUSRJWOkM+NFApi2b4a06xbMG95DdPMm9HljMC6Zy3mHW+RuOg+tHljsB3dCEgXkl/7Ji2Dqhi8XUE8vgCSKtr3TRZjImHOKgLdHXgaK9Cc3cSfb5+MwphIdpoBtVLO3pN9x9y3drnQa5SoFCIrFhajVsnQaRScqTUzrjiFYbnxvPBRWa94d71GQW5GLO9tPUd1Uze56bHMm5iFXqtAo5Rx5WU5BIISXVY3SoWM3SeaWHeBKPrdW8d45LZxnKrqiCharXYvcYawSqwo29Rvd4DTE+CtzytZuaiY6sZu9pW1sGBSFpOGpyEI4YS4LYfqmTg8Ff+XeEANYAD/LfiPJoBqampYtmxZ1DaDwUBiYiI1NTX9HEXktZycaB+I3NxcXn31VTweD2q1+l9/w/9DeHxBth4O99dW1ltwewOsvLKY97acixjkZacZWLmomA376vjxc/uYOWYQP7hlLB/trKa60Uq8UcP8iVmUFiTyu9VHuXVRMY88u4eHbh5LdZOV42c78QVCNHU4GJGXwImq3lGQK68sJivFwEM3jqbN4iLRqOWp1Uci7DqE2xBeXHcazdVyirNNfOOqYYQIoC2cgK+5irhp19H2we+QfD2tbN2HPmX5wgdp7DBy5ryVNrOLYbkJaFRyYnUqNuypZf6kbLYdacTpjh7UdRoFY4uSeWx3DSEJPt1Tw6AkPY+8cY47591JpiGIwmtFl5DMeZuMH/z5RKTat/1oE+OLU1g2I48qi5vfvnkEuUzg9fuKaH/v1wgKFak3PErA3By1+BWUahKW/YAuvwbDxKtwnTuMOqMIV/VRYkbMIOi0IciVtLz9CySPE/2wy4gZMSOa/LkEjpPbSP/G04Q8Dty1J1Gm5KBOL0Cm0SMh0L3n/X7/Npyn96AvmUFf2T7KjKF4UTKyIIkb5hay71QzCydnU1bdRf6gOM632EiJ0zJnQiZrNveO1wSYPioDvz9I3CWybI8vQKxe2cvQ9iKyUg0Dpnr9ICgImG1eDp9pRaWSM64oBa1Khvh3SlByuYgnECIkhU3fVXIBj6vvRYs/EOJ8q41RQ5L6JIiuubwAt9fPI6vGcbjOijV+ISNHLUVvUNLy6o8wzboFeWwSnoYziGoduoKxuOvLw8oen4egLfrZ4Dyzl6SlDxG0dWIomYnr7EHiZ99KyOsmpnQW9uNbLtlbwDj1anxdzVHkz0XYDq0n5dofYju6CUJBRKUWUVAiS8zs97MRtQaUWi2TR6Sx+3hTVFpXwWAjZxssHKlox+ML8u3rR0VeS03QYbF7CQZD3Hd1Kev31SIIAjFaBVNK05k/IYvObjf3Xl1KRpKemqZumjsdFOfE92oVuIisVAMuTwCnJGGxe/nm8hFs3FfH6xsq+N7No7G7fMhEEUGg36pjeqKeX79+pNd2fyDEi+vK+MXdk/lwRzUHT7eikIvMHjeYeRMyw20UCpEV8wvxByVEQUAucIHQH2CABvD1Q5fNg0GrRPiSkIv/a+jUCtqt7r+/4wC+MgiShFYuoI1REYSoOeYX0W5xMTwvAQCFXEAuE2ns8pESYyJo79v7TUjIDqt+pufx5mcVXDYynV/dO5X9p1votHrIGwSTStJ45Nm9xOqV3Lu8hLybfoG/sRxf+3kEmYL4Oatoe+9X+Lt6FCWiWkfionvxNFeTMGcV7WufIui0AiIp14Vj3gPdnXSsewYAbcE4ZFoDfksrmuySC23XKrwtVXTvX0fS4vsJ7VpD9/4PiV1wH4bZd6CIiUM7ah72nW/1+d5COZM4ubMafyBEMHloRMUuKNQkLryHjk+fjR7DD69HNft2DlfHMX18Pl9mhdPt8LJiYTHVjVae//BUZPuOY00MyYzj/mtH9lKHL5yczaYD5ynMNLFoSg4KucjHu2vYeawJURC4Z/kIth5u4HRtV68xMRAMcaKqg6kj09lxNPw55w8yYjJo+O5No4mPVfdS9FwKlUKGyxNgVGGY4HptwxlaOp2IAowqTObJe6agV8kJDaSADWAA/9kEkM1mw2Aw9NoeGxtLd3f/Xi42mw2lUolKpYrabjAYkCSJ7u7uf4oAksu/PGHn76Hb4YvyaLltUTG/feMIjkvIkNpmG7954zCP3DaeijozWw83cPxsB/dcPYJQSKK1y8m2I43sO9XC3ctH8NSbRwhKoBAFbr9yGC5PgKNnOxgy2EhpQSJbDzWw+VA9Lk+AQcl67r92JKIgcOxsByqljKIsE13dnn4H5tWfVfL4XZM4cbaDj3bW8PDSq4jPrsW85bUo8geAUADfpj9y85wf88NXrWSnGRieG0/BICON7Q6MMSoMWgVP3jOZ1z49w5ELBtWji5JZPjMfjzfAnUtLsNg8ZKbEkGTSsfN4M099UE2MVklSnJplM/X88pVDkUsmxmm4d0EmiTIbmrb9pJrSee7+0Ty1tpozbUGSYuIJ2rtofeeXxF9+GzKdAV9HA7KYeISEbN7eb2ZEgYL07GloO04javThVAe7GV9nIyCQesNP8JtbkfxuvC1fICAFEVGtRfL7UA8qxN9+nrYPno4kLNkImwImLn4AQRH9dxkFUexzbSfIlfjyp/Pn58pQyEU+3VvLspn5GPXhCPiRQxJ55p1j3DiviGE58ZzKiuNMXXQr0cpFxeg1CoKShFIhsGxGHu9vq2LzwXqumpbHq+t7+xwVZsYRF6Pif/snL5OJUf/+q/DP/gb/FfCH4K/vn+TIJaTMGxsquGleITNHZyDvZw0UlKCmNdwG6XD7Ka/pYnxxCnkZxn7bmlZ/VskzD05n2+EGPt1bi9MTICNJz4qFQ/8fe+cdHUd5fv/PzGxvWvXerGrZlnvvveACNhjTewuhBUIgJCSEhABJSIBQEnoH02zA2LiCe6+SJVuWJVm9l93V9pnfHyuvvZbkJL/wDZDonsPheHe6dmbe9z73uZekGBM1jXYOH28kOy2CrYdqaLZ7uHy0leh5N2Mv3Irz5EFEnRFF9tO2ZTnW8RcTMe1KfO1NqCxRdOz5Emd5oPVQEFV4W2poXPkMluFzcJYfxtfeiHnwNEyDJmMeMgNnRQEoCtqELCRjGNUv39frdXJVHUMTk4qoNeBSmbn3qa08fGUesQnZeGq6E5Vhky7jr+ur2H00lOwSBbh4ejaPdSkcC082c7K6nSfvmMDWA9UIQsC3Z/3uU4iCwPjBifzhjon4ZJmG5k52FNaSkRgW8Ax4aSdur4/f3jqO9IRAjG5Pz74l0zIx6dRYTFoyRYEn3trLiNwAAfvRhuNMG5HCtsM15GdGByrM50AUBQxdscY9oby2g62HqkmNMzM0OxqvT6Z/ejjaoMQn8H/prB+TKAr/Z/fVv4rvw33434jvy9/3X0Wb3Y3FqEH6DiVqZoOaDofn3/pt/tCu/7d1H/4nzlslCmQkhVHZi2oyLd5CXbODwVlRxEYaeei6UVTX20gZswznuue7La+OSUMxRXG0rJDkODOP3DyGIyeaQ4iLz7eeZNygeB6/aShqn4NIo4369x8PIZQ69q0mdvFP8Ts78NSXobJEoQ6Px9Nej7f+JO1bPzxjHyCA7HHStOoFYi76STBc5HR7l6+9ARQZUa0JBCgc+QbF56Hpq5eJmHIFHXYXHX4tZr+DxiM7iMgeiafsIO7K0IQw7dhlrCvuxOuTEUUBh2Akcf4dtHz+DKZBk+g4sLZbAQegfd0rXHfT01S7RTQqMSRQ4WzERRpQFELIn9M4VtFKVYONnJRwjnUlVQ7OiiYrJRyrScu7a4/x6ueFmPRqZo5O5d4rhvOX9/bj9vqparT3WhApr+3g8lmBtsBdhXUsmpzB42/swenx8chNY5gzNpUXP+l+PADjBydQWWcjOlzPk2/vDe5DVmBvUT0VtR08dts4tH3vpT704YdNAH0fIYoC4eHGf7zgeeCWQSUJ+PwKeekRFJW1hJA/p+HzK6zdXcGkoUms3VVBZJgOj9ffrRVMoxJZPDWTMKOGN748yqLJGSTHmpH9MvuLG/l4UwnDc2N5+PrRKAR6pFd8U8rWQ2ekoaIocOvifKYMS+qx93dwVhRf76vkww0lADz8bgnP3ZQVUi05G7K7k3DRgU6jYv6EfmzYXcnKLWdaLQw6FfdfOYIpw5K4fHYuohA4hgf+uhWHK+B5ZDZo+GzLSYblxPD3u0fgs7Xgs7Wij4ylvM2BXqvC6fYRYdHxyNJ05DV/wGtr5vSVlMyRPLz0ISo6DVgX3E3L8keRXQ4av/hrIJ49PA7V+KvZdczJ3HHptNnddHoVIuNSsR1ch6QzUrf88RDPIPOw2WiiklCFRXVdOBXWsYvQJeXg62hG1JlQRybQsPLpIPlzGt6WWtp2rMAych6dJXvoCaZBk9Gl5qOJ34mnNnC9NHH9EMZfy+cHO7j/qhF4fH7cHj+RYXosRg2P3DSGhtZOQMCgU/G713dz/YIBXDC+H4Unm9HrVIwZEIdOp+Lp5QcoqQzEal48PZNHbxnL717fzcDMKK6bn8enX5fSZg/I+CcNS+KqOf2Jsp7fhPufgcXy72/jNL6Ne/DfhaIofLm9LIT8OY231xQzvH8smUnWbt91dnqoqLezZmc5h080YdCpmDo8GbVKor7FwfSRyazd1V0CPTAjkvpmBw2tndxyUT4adSAlcMOeymDLZ5hJw+ShSdw4Ox3p2HoU3xB8tlYkUzhxl/4cn70NQVIhqrW071uDNi6dlk1vg99P1NybEbR6dEm5aBMy8bbWEbPgxyCpkN2deGpLad+xgvYdK0CUUEckgCLjrj2JdczCXn21ABRZRjJYCJ92NftOdZIab+GJ5cf57dU3EXZsFY6jW0H2IRnDME9YxgmhH5dMj6DT7aegNNCKmhRj4uYLB7HjcE3wWZmTEs4tiwfRYfcwrH8sDz2/lUtm5PDA1SM5VtGK0vVMWb62hNKqNnQaiU82ngiaaU8YnECEWcevX9rBnUuHsnJzKXuL6pGVQHvsZbNyCDfpUIRAVTo6XM+1F/QnzBTwY2vucFNY1szq7eXcd+VwKmo7urVe3rY4H0WBCIuuVxIo0hLwUjjti3DvFcOYMqz3oAKbw4PPL+Px+r/V++pfxffhPvxvx3f59/3/QZvDS0SYHrP5uzvuyHAjbq+MzqBFr/33hsA/hOv/f3Ef/l+f95KpWWw+UN3NnkAlCcwYlYIkCpRUtvG7V3fTZneTkxrO8HkDMc3+Ec5t7wYMl0UJQ+44jOOX8dY3dVy/YACpCRZcLh8fbQyMUwUBloxPZEpeGBZfC2p3JSqDhY59G4PkjzoqCeu4xQiSGndtCdrEHKSwGEStkepXf9rj8RuyhuOqKER2d+KsKAgka1YUoI6IRxOVjDBgIq6aE3hbapGM1qDi3G9vRTKFEZXUn4aPfk9Tl6VBww4NkbOuxzpxKZ0n9uOX9BhyRlHn1OIpaGbZzGxyUyP4dGs5epWaZZc+gVnnp+bNh3q5wgptx/dz2JPLrNGpfNGDwjUnNZyYCANvr+4eS38amw9Uc938AewrrmdQRhQ+v0xZdTvPfXSmVc7uDLQ3j+gfy6Uzcmhud5EQZaTN1rOiOSHKxPtrjzF3XBozR6fgdPlZMKkfydEmDDo1w3JiGJcfz/bDoX6DowfE4XL7SU+w8Pqqoz0STI1tTk7WdDAuP6HXc+pDH/5X8IMmgCwWCzZb9ypBe3s7YWFhPaxxZj2Px4Pb7Q5RAXV0dCAIwnnX/UeQZYWOjt7lq/8MNJLAtBGBiV5KnCXIrveE46dauXHhQHJSwwF4+v0D3ZZxun0cPNbAjoI6BAFuuSgfvUpg1IB4fv78VmQFSqraaGhzsnJzKRMGJ4aQP6fP64WPD/HL60ez9VB1txSpiUMSeez1M6Z9bXY3Le3nl1mLspd7Lh/Kq58VMntMKruLjNQ2BSY5nS4ff3h7L3csHcI9f/6GrGQrM0el4Ojywmhud9Hc7iIyTMflY8Nxrvhd0IDWC8Ql5vK7q2/gwTeOctXURPj6efy2UKM7v62Zjs//TFPeTbxzsIkHr3qSzuIdiM1lKBGpmAdPQZEVphrsONtOofHrqGkRiXDuQ5+cR/1HT3Q7J9v+r4iccxMgoIpIIGLyMuwFm2k7q61LMlmJmncbLZvewdsYOpnvPLYL67iL0CXnhZhKA6ijktEn54HiJ3zSZWCKQBRFdpbYOLjfyZDsGP7y/gGcbh8JUUaG5cSQmxaByaDmnTXHuHvZUFweH26Pnxc+PozFqCE9IYwIi5Z2h4efPbc1+NKsbrTz9PsHmT0mlWd+MgW3x4/FpGF8fjyyEjBv1GskUGRaW3tqSPvnIEkiFouejg4n/i5Z7r87WP027sF/Fx6/wsrNvbehrtlexjVzc0M8gQQBWhxefvHitmBFrtPl48MNJeSmhTNjZAqXTM9GFAXW7z6Fzx9IxRgzKJ5pI5J5/M29uL1+vjlQTVaylbGD4lm5uRSVJHLzRQOJCtOzcW8lSmslKq0ByRyOqNEi6U0hRKag1hI58zq8bQ0YMocj6c1IpnAiplxO4xfPBQzTu6COSCBm8b10luw9c3/JfrxNgRbWqLm30HnyYK9JeRAYLBuyR9O6/nVSnR38dPR0Go1Z/OrtYi6fPoORly2ks9OJ3mJm1eF2RMnH8X3F5KZGsHBiBrKsEBdp4J01xVw2O4eBGVEIgkCUVcfzHx2issHOrRcNYtTAeHYX1jEkO5pLpmXi8/nx+WSun5/HW2uK2XIwMOEQRYGJgxNYOiObt748Sn2Lky+2ljFleBJLpmWhUUlo1IEKYnltBx+sO47d6eVXN46msc3F+t2VTBqWSEqsmWOnWrE7vbz4yWFuv2QwlfU2jp9qw2rWMnpAHH6/zIpvSlg6I5sXP+lu7m7Uq4my6kNMMSPMuh7vOa8MxypbWfHNSWydHobnxjB/fDpGjfT/ZdD+33Af/reip+fmDwENLQ6i0yOw2b67FixJCNwLFVWtxEYY/v+28R+6/t8GcfNt3of/qfO26CV+fcMYnv3wII1d7XqxEQauXzAAm8PDhj2V7Cg4QwAcPN7I7SeaeOzWsZgWZBKtA1Glpt2vpdWvYkBGJE63n8MljVTUnpkz3Lc4m37Nm/F8tI7WLoNnUWsgau4t+NrqEbQGrGMW0vDxH7tauwIwZI0gbOxFmIfNwrZ/bcixi3ozlmFzqP/kjwC4q0vQxKTgqijAnD+N1q0fEjHpUrTxmfiddurefzRkfUWlp3n9ayF+lorPQ9OXL6KOTMQ9/af8fU05x1cf4f4rR9Da4aK4vJMP1h8Pjt++OdzA327PP2/hxe/qZFthDfPGpjN3bBrr95zC65MRhEDa8PULBqAoCk537345Lo8Pl9tHVaOdb/ZXcf3Cgby/7liPy+4tqmfu2DRe/OQw18zP42hZ93Y9lSQwsn8sv3l1F3anl2su6M/m/dXMGp3Kpn1VFJ5sJsysYdGkDC6anMmKb0qRJIFReXG0dLj4eGMJv71tHMfPM2faV1RPfr+If8kHqK+Q0Yf/RvygCaB+/fp18/qx2Ww0NjZ28/c5dz2AsrIycnNzg5+fPHmShISEf9v/598xej2NpdOzcbn9OJzekJjMc2E16chICuPnz28PvijPRky4nobWTvKzopEkkYUT++F0+/DJClqNFJDy+mTG5yewaV8lk4cmsWZHeY/7UhTYW9xAfmZ0N68RSRS6kULtXjVhehOy0959Y4KIPiqet98uprLeRkuHiwvGpfPyZwXBRRwuH2q1xJ3LhpAaa+lREnzT7BSUdX/plj7kqS7GcPADFo2ZTXaMhHdLz8Zx3qZKRqTr2Vyk5nirmkMd/cnNGEN5TRvzm6ppX/1X5M6AGbVKoyd/5vWIEXE4ejCKPg3boY0Y+48jZtFd2A9vorMkVJHlt7fR+NmzRM27lYauQUIQiozf1owpfwrGAeNxFO+Erhh4VVgUzlOFdB7bhSoyEZU1Gk9DJVm5M8mZlMSPnt6FSiVy97Kh+GSZljYnNY12EqKNXHNBHm+vLuLSmdnBXcVHGbGatUwbmcxzHx4iOzmcuCgjrTYXBSeayEoOx+XxB9RoosCnX5dyrKKV+EgD8yf2Q6MSUL4l7x+/X/5W7pvT+Da39f8DWQH7eZLs2rraPEOOUxR588uiHuXYxeWtXDA+HUenh0unZbJoYgZOtw+dVkXhySaefHNvyHqThyaxalsZowbEccm0LIrKW/jNK7tYPCGJMIsRe3ktruoSBLWO9l2fh+xL8bppWv134i5/GE1cP+yHNuCsKMRTX4a7OrQly9tSQ8OKPxO7+F7qPngM2RW410WtgcjZN+KuL8NnbyVi2lXUvv0rFF/oNTENmoKnqYrmL18882H9K0Ql5XHHgsv5w8clDLpnMm0uPU8vPxrwQ1swgPfXHmN/8ZmWqvkT0vH5ZVo6XBwpbWJkXhwvfHyYE1WBVuBnlx/kj3dN4vCJJo6WtZAQrsfr9aNSiRwsacCgVfHgNSPx+WVUksi+4gbufXozD14zkpR4CyPz4li5ubRX/wGNSkQQBCxGDYdPNDJrTCoOl5dwU+DZXdfcye9e2016goXUOAtNbU4+WH+MIVnRRIYZSIk1s2RqJis3lwafo7ERBm65aFBI62WERUeUVd/t9y0LAm+uKQ45vi+2lrFhTyVP/ngCJo34nSSffNf34X87vu3n5v8lfH6Zdrsn0Gb8HXrGGTSBYW9zu4tIy7831vuhXP9v+xj/E+edGmPkd7eODRjgCwI6jcQTb+3jijk5IeTPaciywgufHOFnV4/kwTf2UFFvY/rIFAw6idgII/FRRiLDdBw+EShUZCVbyRXLsR8OJXBkdycNnz9L/LJfIuqN1L796+B77TQ6S/aiiojHMnwuxpwxdOz9En+nDV1KHvqUPJrXvhy0PpCMYcheD5Gzb8RxfDfO0gMoE5dS98HvMGaPwjRoMrYDgfAZQaUBnQnXie6ecADe5mq0rkZO1rQH2sEVpVuxFgJj9f0nbQyJz8Bd20uIQcIATm0o55nlB5gyLImfXjkCvxx4/0WF6dhTVMf63ZXMGp3ao7cgwPDcWAw6FYdLAm1mBp2q1zRigPrWTnRaFccqWrll8SDe+OJoMITBatJy46KBrNxSiiwrHDvVisvtZ9LQJB55eWdwfFPb7KC4fC+zx6QyMi+GvUUN/H3FEUx6NXdcOiQwZzJpae1FYRQTYcDr/WHct33ow/8lftAE0KRJk3jxxRdDvIDWrFmDKIqMHz++1/WGDRuGyWRi9erVQQLI6/Wydu1aJk2a9B859n8EUZa5dl5/3D4/NqePb3qJXFwyNZO65k7ys6LYsKcy5DtBgMtnB2Ie71g6hOZ2F7/8245gi8PQnGh+dtUI/vjOPkx6Na0dbkwGda8PToC2DhfR4aGDpnH58T1Kqd/fVs8d46/Ctf6Fbt9phi/k/S21QVLnVL2tx1ai1g4X9k4PBY5mYsMNGHWqoApIEgWyo8DWS/S0u3QfU5ZeglYt4jSG4Xec8YWSLFFYhs1GE5mAIAncsySHTQWtTB6WxIufHOanCxJp/eDBkAqK4nHSsuo54i57GNnb+zXy21sRJRW+jiZshzf1uIzssiO77Egma0Cu3AWVNRZBo6fpwydQhcdhyBgKgoi94Bs8jZXELX2Q1q/fwzpuMQ2fPYvidcHx3RhGXciSCXkMz0skwehBLXshyo2rtpROMZlGfzhXzM3FYtBw+yX5pMVZcHtlZEXBoFXxyE1j2VFQy7GKVvolhnHDggE0tztRq1S02T00tjqxdXooqWyjqLyFjfuq+PElgxmSGY2E0hcBfw7UKpHBWdE9Ds4Axg6MQzlH3u6VZQ70MtACOHKimdyUcBS/glYErV6FIghs3FtFaryFOWPTMOrUCAIYtCoiw7SMGxRPu93NW10y7oFpYThLdmI7uB59ej7te77oeWeKTOfx3agjk7AXbCb2kgdo3/Fpj4t6m6qQ3Z1EzbsVyWBGdtpRRyXhrDoW8B/wuGje8Caxl/wMe8EWXJVFSAYL5qEzkYxW6j98vNs2fVVHSc5vJznGjKLA66sKGdE/ltzUCJ5dfjBkWZUkEh9pZMzAeIz6gET8w/XHKalsCy4jK7BpbyUThyQSZtLg8wWegW6fwvL1Jei0KtLiLURb9YSZtUwemsiwnGhUqkAE/B/f3seiyRndCCC1SiQr2Ur/9Ajqmx243D6Meg1tNjfltR1cOac/35y1TllNRzDd8LbF+WzaV8WlM7P5+QvbmDYimSfvmEhrhxtJFIi06nnp0yPBmPeUOBM/v2YUfr+MV1bQqiU0koDfL9Pm8PRITjndPl5fdZTbFw/q3YW6D334D6DN7kYBLN9hBDyAUR8Yq7T3RcF/r+H3y6gAiy7w91IEgQmD44Mq8Z5QUWejqsFGRde4cvrIJIw6DU1tTjweP1/vq2JQRiS7C+u4dloirm/+2POG/D48zVUIKk038uc0bPvXoYvPRDSFYxk5D+eJA7hrSrq9Jy0j5uLvtNGx90tcFQWIehPe1jr8HU107F1N3KU/x3ZgPaBgnnhZ1/i892e14rSh16iQFQXbeYpMH2+vY/I119PwzsPd7AZ0GcM50qCQkRjGwokZ6LQSPp/M7uIGth2q5t7Lh6PIcKrORmaSlcRoE9WNodfBpFczf0I6Dc2dWM1aOhweIiy68wYeGHUqHrpuFJ9vKSUvLZLf3DKOlnYXoijgcvv49JsTlHYVbXQaCYtJy99XHOmxKPbVzgrmjUvDatQye0waOq1Ec5sTs0HDwkn9eGNV99Y1UYCxg+KD7/8+9OF/GT9oAmjZsmW89dZb3H777dxyyy3U19fz5JNPsmzZMmJjY4PLXXPNNdTU1AQj3rVaLbfccgvPPvssERERZGdn895779HW1sYNN9zwXZ1ON4hiwBC2w+Hm6nn9eXt1UYhj/9yxqWQnWzlU2sSs0amkxln4amcFze1OMpKsLJzYj+1HasnPimRXYW2w7/k0DhxrpLXDzVVz+3OopJHslHA6HB5yUsM5eLznqPGhOTHkZ0YxLj8Rp8tHQrSRorJmKutt3YxSC062siYugXkXPoR/93I8jadQWWMQhi7iiC2KL3efUW8JQuC/cxEdrsegVbFi80n8ssxdy4bx5/f243T7iI00oPL0/HIOQCFS7aKzZC8R065Gkf20rH8ddXQK1rGLaN3yIa11gWPQJGQzccp1bCtvZumkZNQnNuHsRT7bvuszzENm0nlsV4/fm/Kno45KRjKYiZh2FbaD6/HUl3dbztfRhGQICyGAwicsAVlG328ozpMH6Ni7OvCFqCJm0d3Yjm4nfNJSnBUFAfKnC527V7D4ugl0FnxJ64F1KD4Pos6EZcRcLO56KFmNNOlG0BkY1C+K6kYHr686Sk2jncQYE1lJViYOTeTLbWXsOFLL55tP8tOrRrB6eyl7iupRSSITBifwwDUj+OPb+3B5/Pzt0yP8+sYxxITr+e5Cfb+nkGUunZHNrsI6vOcMXqLD9eSlR3aT0AsIqNVSt1jV09BrVWjUEn7PmUhwlSRw0ZQMmttdvLOmOBiDfvvFg1k8NYvnPjrEdfMHBI8hLUpD+/rAb8rvcuBt7/k+h4Anlag1EjH9GlSWSKIX3onj6DY6Sw90k5b77W14mqvx1J3E7+zANGgKLeteC1mmbvnvMeaMIXzy5SD7ESSJxi/+2qtMXXVyK8tmXkpDayfXzc9jb1EDj74aes/pNBL3XTmcHYdree2Lo/j8MlaTlkWTMxiUGcV7a8/I0WuaHKzbfQpbp4drL8hDKwooCvRPj2RodjSbD1SxcFIGr3xWEJSnp8aZueaCPE5UtWE2qImPOtOmunhqJv3TIgI+RArotGq0bh/TRybz4Ybj/GjJYI6UNnH57BzeW3ssZFA8fWRyoH11dg5//fAgABv3VrL9cA33XDaMR1/dg9Wk5fc/Gk9lQ4Ac12lUvLSygP3HGlAUSIgycstFg+gXZ2ZPUc8FAggYX3v8Cpq+YLA+fIdo6QgUTcwG9Xd6HFq1hCQKfVHwPzAIisKMEclsO9JzwQ8IIR9uuWgQRWWtfPL1CRxOL1qNxLThyeRnRhEdric5xkBrRyO6lAGY8ycjaAz4HW3YDm7AU1+G39F+3rQ6xesCUaRj12dYRsxFdnfiqig4awkB64SLcRTvpGPPquCn5vxpSEYrhszhdJ7Yh6e5Gn3GUOTsKWxvMTNFrUXQ6LuHp5yGJZaOzuOgKESfx3/R7vRS5Q3HsuQRlL0f4akqRjKYkfLnYsgdi6rCydThJl789DBttoCv44QhiTxy0zhO1bVzqotE06hEHrhmJF/tLGfLwWq8PpmReXFMH5HMMx8c4IaFg3jgqhGYjVp8fplhOTHsK+5eyNJqJAw6Nc9+cIDrFw5EqxFxuLw88daeHgmjGaNSUEnCedu5Dh5vJD0hjDa7i23bamhud3HfFcMZOzCegtLmkOOQRIF7rxiGXi1y3uizPvThfwQ/aAIoLCyMN954g0cffZTbb78do9HIxRdfzD333BOynCzL+P2hk6qbbroJRVF49dVXaWlpoX///rzyyiskJ/durvmfhCgK1DQ7+fVLO/D4ZKYMS+KXN4yhst6GWiUyoF8kBo2EIMvkpUXQ0Opkf3EDs8ekYjFqqGqw88Inh2m3u/nLPVN44LmtPe6nvLYDq1nLgeONPHjNSERJIDnGzOGSxm7PSKtZS2SYjtv/sAmrWYMsK3h9Mj+5fDiV9TbuXDqEx17fHVToAKw90Mi44WPwjbmNpAgNO482sXJjA1UNoa17Q7Kju/UE56aFc6rORl56BKIIx0+1s3z9ce5eNhSn20eYUYtb03vaG5IKxe2gY3egxUUTm0b0hXcjCBL1Hz0R0o7iqTmO98NHmH7NE8j2JmyF5b1u1ttcjToiDlFnRHadVY0SRKLm3YrstNGw8i/InR2orLGEjZqPv7Odtq0fhWxHG5+B7cg3AF2k1IW4KgqxFfyd2EseIGzUBbhrTqAKi0bUm/B32ggbOoOO/V9hL9jc7bg8pXtwVxYFz0t22Wnb+iFhYxah1ulR6o+hpI2iqKKFplYnd106FL8sB82GVZLIPZcN48Hnt+GXFZ754AB3LB3CnqJ6/LKMrdODxyvzm5vHsn7PKb45UI3d6cXvl0mINiEpcp/IoAuKAiatxJM/nsBrXxzl8IkmVJLI5KGJLJ2ejUYE+RzeQyMJzBiZ0mvk+JRhSSjnVK4EAmbwa3aUs2hSP6xmHTWNdlZuLuVHFw+m3e4J+tUAaPCheALEoa+5Bm1MWjDd61yYBk8H2U/b1o9o2fAGgtaAOX8qMRf9hMaVT6P4zxjTS5ZIdFo99sObiL34flq3f9J9g34fjqNb0UQm0Fm6H3P+NASx9zQOQZRIT7RSUtlObISR/Kxovth6MuS5dOWc/ny0sYTisxLt2uxu3lh1lKvn9WdQRhRHSgPy9LR4C8cqWik42Ux5bQe/uXkskiQwPj+Bx17fza9vHNMtbbGizsbvXtvNL68fzYufHObWJfl8s7+KxGgTTW3OoME2wMebTjAyL5Yr5+RSUNrM31Yc4Yo5AdXdH+6YSHltB7KskJsWgc3hYfWOcnYW1Ia0zro8frxdbWhtdjel1e0MSgvH7Vd44PltIUbRNU0Ofv3yTp69d0rAj6u36ygIPZLrfejDfxJNXZ6AFuN3qwASBAGTXt2nAPoBwuH2ER9lQhR6nsMPy42h8GQzk4YmUtfsCPHhc3v8rN5Rjl+W+c1NY3F57cRc9BM8jZU0b3w7MF4LiyFs9Hz8nSNQmSMRNb23CErGMBSPm86SvWjjMzHmjcPYfxzuulJErR5tQjYde7/E3jXGA9AmZKFL7k/du78h9pL7cVUWoejDKExczPI11dQ2N5GdEY9lxIW4tnePfdemD2V/lSdojn2iqo1hOTHdWrTy0iNYNjMHm1tmT7mC1rqQzNxL8CsCalM4R0odKAo8//GZd7/Pr/D1vipqGx3cfkk+L60sDOxTI/Hs8oOYjRqunNMfSRIoKG3mt6/uwuOTKSpvYc7YVA4ea+BIaTMLJ2VQWW+jofUMgaWSBO65bBgrvimlsKwlMC95fz8PXz+a2y8ezHMfHQoZO2YkhjGyf1yPthbn4uWVBTS2OZk6IplpI1L45kAVU4cns2BiP66ck8uxU60YdWqykqxoJPrInz70oQs/aAIIICMjg9dff/28y7z11lvdPhMEgVtuuYVbbrnl/+jI/j24ZXjs9d1B6ePX+6v4en8V8VFGMhPDiI8yEhZrwu9T0EkCcZEGls7I5sONxzl4vBFFgcRoE9cvGECb3Y3T7et1X7ZODzdfOJB2u4va5k5OVndw7xXDeW/tMaoa7AhCIN5x2cwc9hytw+eXaWo7MxF5eWUBP7l8GH9dfpC7LxtGXbODmkYHidEmYiMN/PWjg1w9N48quwp05m7kT7hZy9Xz8vjD2wGvHJUkMnFIAuMHJ/DHt/fx82tHMT4/gWMVrQzoF4FGLWHr9BBm0nCk3EtuUh7equ4Gs+b8qTiKzygGPPXl+NobcdeWdvMigUBFx1mwEVGjRx2Z2KtprToiEcXnI+7yX9Gy7vWgWXP45MtwVRVjP7QxuKyvrZ7mta8QPvky9P2G4Dx5MHCO4fGoLNFETL4MQaXB19ZA65YPg15GHbs+R58xFNFgpvPkQRyFW4i++GfUf/JH/PaeKyKKz9PjhLpj3xqiF9xB+86VtBozePr9g9xy0SA+3xpQVU0bnkyrzU1Daydp8RbuXjaUv7x/gE6XD7+sEG7Wcvslgzlc0sTfVxzB7fEzLCeGh64dhdPt44m39xEboefBq0cinUe6/L8GRVaw6tXctXQwXr+CIIBWEpH9cjfyB0D2yyya1I8DxxqoOUfmftmsbMIMqm6pKC6fgsPpZfaYNBpbOxEEgUirLkju/erG0eg0Kow6FUOyY9DqtQgaHYrHhe3I10TP/xHO8iOcKznXJuYgCAINK/585nzcnXTsWYWnoYLwyZfRsvFNAHTp+Uh6M67WOqLm3ETzhjcIG3kBznO8ryDgDaSJz6B1y3I0CVkYB06mY+fKHq+fftB09pa1UNlgZ+PeSrRqiZ9cMZz3u55LWrVIUqwphPw5Gyu+KeXGhQM5UtqETiMxKDOKjzedAAKePJX1dvolWPhoYwl56REUljX3mLbolxW+2lXB4OxofvfabmaMTCYrJZy31xR3W3bP0XqGZEUzb1waoihQWNZCpEXLmIHxyLLMiP6xtNs9PPTi9h6PGQIJcmIXYVNc3sKwrCgOljZ0SwkbNSCO2aNTKavpICnGzMM3jGbTviq2HAxtBRuVFxfwevsBmQX34b8PTe0uDDoVGtV3rxc16lW02/sIoB8aHE4f63ef4tr5AzhU0sjAruSpPUfraWpzctWc/jz0wjbuWjYsOJ48F2t3nWLeuDS0SHSePIz90Prgd772BprXvkr45GVoE7Lw1J9EFR6Hr7Wu23bCxl6E7XBgrNe6+X20CVlEL7wDUW/C19GMs+ww5iEzUEcl4be1okvMDvgLrfwLKH469n2FadAU2rQJPL2iMLhdjw/kzPGE6XXYtn+E7LQhqDSYBk9HP3IhX758JgL9ww0l3Hv5cGIjDWzcU4lfVrj3isAY/NnlB+no9JCXHsHls3NxdHppbnOSYVCTFxbZ6zvo2KlW2u3eQHUJ8Hhlymo7cHv87Dla3235E5Vt1GVFEmbSsWZnBTsL6rh+4QCcLh8nq9uJCNORmWRFr5EoPBnwX2rpcNHS4ebdtceYNDSJp+6ezIFjDbTaXAzJjsHvl3nirT38aMngkCLOuRicFc0bq44iK/DltjJOVrcxa3QqTrePtFgzss/P2P6xKIoSGDv1DU/70IcgfvAE0H8rmtqcPU5Gapsc1DY5mDk6ldOFY1lWEBB47YtC8tIjmDs2HVlWaLG5+HBDCVfOyQ3GyvcErUbi069PsGRqNodPNFFQGmjpmjcujSirHkEQKCpv5m+fHGLqiJRu61c32nF5fJTVdvC713aTGG0i0qrjUEljcCKr1Ug43T4yk608ecdEthyowu31M3pgPGFGDXsKa7ln2TCcHh+dTh+7Cut4/I29+PxyoK3DrOWnV45gz9F6Hnl5JwBXzMllX3ELKTOuxaT/GPeJPaDICJIa0+Cp6BKyafziuZBjlV32bka2Z8N9qhBd6iCMOaOwHdrYrXcawDp+MT5HK65ThZiHzyZixtX4O1qQzBG0fv1uj9tt27mS6Hm34Tx5EF3qQCJn30DL+jdxnuye2gagCotGnzIAV80JHIVbAtUmayKqiIReCSBtYg7tu7p7uihdfkWyN5DMlhRjQu4idgw6Fb97bTf+LmJBJYncfOEgLhifzqptZXi8fm5YOJA3vyziVN0ZE+5th2vYf6yBJ348AZ9P5mR1B2+vKebauf1RemI3/kehKAqCQrD9Rv4Hk3CVIPDQdaMoKm9h/7EGzHoNM0anEG7U9Fi5UrrMpvslWTl+qpXtR2qxGDWoxgZUgi+t3EdqvIXf3TaejXsrcbS3EzZ8Hm07PkF22pB9XqIX3E7LpneCvyt1VBJR826hfvnvezxGV0UBYSMvQFDrMGQNwzjhcmyH19JZvAtfW2CA6IxMInLOTbRtWR703tLEpGKadSt2QY/h8j+wr9xBbrIZVfHO4HqnockczZ4aEYNVTXp8GGt3VmDr9HKq3sbcsYHnktmgprKh9xbQDocHjVoiJdbM1Rf0551zCJuC0iYyEsMoqWxl9uhUjp9q63Vbx0+1ctGUTLw+GY9PZvX28l6X3bi3kktmZLO7oJYJQxKxmjTUNTsYkhWD4Jcx6tSEm3s2qVSrRPRaVZD4T4o1AXSr8M4anUpSjInfv7EHX9dvShIFLpmexUVTMvn06wDRZTVpmTsujaKyFvLTI35QiVF9+O9CU5uLsO9Y/XMaRp2atr4WsB8c9FqJ45WtLJqcga3Tw7pdFahUItNHJDMsNxatWkQUhaA6vTdIkkiY4Kbx0IYev2/bsRJj7jhaN39A1Nxbadv+Ca5TAZJG0Oixjr0QQVKFFAlllwN3dQmNnz97ZkOCiD51AOFTr6Ru+e+Rz0oSc9eewDzmIr442MGCCf0QhMB7pqPTw0Mv7mXMgBhuXfY7NIKf2lY3cnQMb39dxhWzc2m1uyk40YTJoEYlCWQmWRmcGU1yrIlXPy8MaX06cKyRwyVN/OzqkXyw/hgt7S5+e+v4XmPYAaoabERb9VQ12CmpbCUm3NBjCAtAcqyJgyVNpMeHBeYdHS7++PY+oqw6EqJNFFe08M6aYn529Yiz1jETbtKy5WA1EwYncu9fviEjyUpshIGoMB13PfVN199bxZKpmZysacdxznzooimZNLe7iI0805ZdXN7KRZMzkRUFSQAZ+t55fehDL+gjgL5nEARQq1XoNKpunjpnQwEkAU7TExpJYGhODMvXH+8WP737aD2ThyaxYW9lt+1EWHSEmbToNCqSok2EmwOS1+pGOy+tLAhZNiclHHtnd1IKAn31p1HdaO9mGKfVSKzaVka4WcuAfpHkpkUAsGprGZ1uL4Mzo7F1BiZsf3xnX3BSk58VRVF5C0VlzYwdFEgqO41Neyu5aEomD71RwPzR05lw0YUYJD9WHdgPrKVx1fOcS/n7HR1IxvCQiM2zIRnDkZ022vesJnr+7TSvfz2YAiZo9ETOugG/y0HDx3/ANGgyolqD4vfT+MVfiZx1Q7f9nYbi7kQyhRN7yQO4q4/jri3FNHBizwSQIGLMGU3TulcxpA1CHZmIbs5dPPL+CX42/0o8tb8OkjqnYcqfirv2REhbjjoiHm18JrLPg6DSoMsZy/rDTUwelsSOglrmjUvnybdCq2Q+v8zzHx/ikZvG8PX+KmIjjFQ12ELIHwgQRXnpERw92cySaZm8+9Uxth6qYdnMHLS9d/X04TwQJYF9JU08u/xgQOmXZKXV7uYXL27njkuGMDDNinwOiSujBAieLjk2QH1LJ41tRdxy0SBqmhzctSQPv6ORC4fokVor0KTmYXZ2YDu0EVGloW3nSiKmXIFoDENltOJpqcbX1oDvPP5Avo5GEq97AkQRt6jFdfJQCIljO7QBbVMlEdOuRtSbcKmt7KtwsXJ5FfddMZwV205Q19xJm0/D3It/ifPkAeQTO0ClRT9kNodaDPx1RSk67Sl+feMYws06bJ1eqhrOPJcsRg3XLxjQ+/UUBeKjjMwancpLKwq6PUtjIgzIiky4WYfd6SX8PGmLp5cB0GlUvT6XIeC9kJloYUCKFUkS8csyEcZAy6yigEaC2y8ezO9e392tZXLZzBzW7w484zQqkcGZ0fj9ckhctV6rYmRebEj7GUBGkpW65k7mjUunptFOaryF/mkRvPjxYVLjzQzJiMTf533Zh+8ITe3O77z96zRMenVIi0offhjQayR+cvkwHn9jT4gi8rUvjrL5YDUPXDWS394yjtZ/QO4ZtCq89Q30Ol7zOPG21hI541qa17+GMXsUYaMXoMh+VCYrnqZqmlY9H7KOZeTc7kaWioyz/AjSvjXoUwfiOHrGikEyWpGNkURFOdh+uBa/LDNleDIGnQqTXs3OwgYOlDTz9D1TcKmdiC6Z2EgjOwvrMOnV6HWBwJYn3wokgCbHmrjlovwe/Xf8ssKHG44ze0wa76wpxtbpOW9ROCpMj6HLfPuLbWVcODmjW/gCBIoO4/ITeGnlEfIzokO+a2pzhXQKqFWBgWFClJHqRjs3XTSIR1/ZicWo4YFrRqEoCnanN6Qw4vXJvLG2mJ9eOZxDJU0cq2ghzKRl0pBESqvbOXaqFd057c9lNe2kxpv72p770Id/gL6p2vcIsiDQ0OHmtS+L+GhTCYunZvKTy4dh1IeaJpoNaqLCdCFqAr9fZvqI5B4j44+ebGLZzGyG5cSEfB4drueey4bSanNz56VDMeolJg5J7PX4ZowK9NeeC41KRKdRkRJr7nG9tHgLBq2KHV3qhE6Xj50Fdfzh7X3sP9ZAcXkrH6w/zl8/PIRWIzF6YMDAOyvZyuLJmRw41sjt89MZFO3lqetzuWp6wOeopslBh8PDnLGpfLq9mnteLuKnb5fT0uoIeOT0YC7rbq5BN2J+r+doGjEXR/FOnKX76dizisgZ1xJ78f3ELvkpsYvvpdWcSfu2j0CRsR/eRP2HT+A6VYgubRCiztDrdgFkl436Dx+nbfsntG39CJUpnLCxF4Jw5jYU1Fqi5tyE7fAm3JVFaLLGUD74VrZVKIzoH8sfvqgh6uonMA2dHSB4ErMJW3gvxrEXYzsUSBwTDRZiLrwHy4h5yD43okaPIKmQssZxsKQZk15NbmoE63ef6vVY1+2u4KZFA6lusHGoJJQImDo8iZ9fO5LocAMHjjdi0Kn55fWjiYs04u2rtvx/w+1TeGlFQN5d2+Rgy8FqdhfW4fb4efGTw7jPGawpooDD6WX5huPdUjIyk6wcONbIn28dRmRnOdFyEwZ3C7rYVBo+ewZVeByJN/4JSW8CQUQyheGuPErr1uV46itQWWNCfpfdIIh4mgPpXxX1DjTpQ7ufT/VxGj9/lvZTJby9vY0TjQE12TMfHEBRYOmMbBRZYW2BDSl3CvsSL2VPzGLawrJ4++sa/HKgve2vHx5kzti0btvvcHjQaqRuz8fTGJ+fQGWDjZc/607+SKLAkKxoJODCyRnsKapn/OCEXk935uiUYBKjUadizIC4XpcdlhODShDwev24XF68Hn9I657sV+gXZ+ZPd05iXH4C8VFGhmZHc/9VI2i3u9lZUItJr+bXN41FpwpsZ9LQxOCAdszA+JDncGqcmV/dOIZhuTE43T62HAwkiymKwiMv76S22UGYqXdyqw99+E+gsc2F9XtEAPUpgH54UIsCe4/Wd2uHBSitaudEVRsRJjWJ0SbyuoqM5yIvPYIOhxeV/vzjNRQFn62VmIV3oksdCKKE2hqLoDPjc7QRe/H9xCy+j8jZN2GdtAz8fiSDpcdNOU8eRJeUHfJZ2JgLeXl9FX/79AhHSps4WtbCi58c5pXPCrnz0sD71O3xU1zRwrbDNQiCQIRFj9vjp9PlZdygeAZlRAXf/ZfOyObIiZ5bpQBKKttIjgmM0fcW1TMuv+f3nUGnIj7ayNxx6fzi+lH8aMlgspOtXDQlM9iaDIFCxIPXjKS53cmiiRk0tjlJiet9DlDb5CA+ysgti/N5Z00xWw9WM29cOn5Z5t2vinl7TTGtHS7iI42EmQLPiZYOFz6fzCMv76S0uo3MJCsGnYq/fnSIjzaWkJEY1i0VLtpqQBIEPL2EafShD30IoE8B9D2BLAh88nUpX+4oD36240gtafEW7rlsKL977Uy1+PLZuRi1EvI5kz6tCI//aDyfbyljy6FqREFg6vAk5oxNQy3AjxYPotPtp6G1E4tRg9WkxaBXk+rz4/P6kRWBqgYbV8zO5b21xaGJY+PSiLLqghMpjUokPsqIxyszfnACn20t5SdXDOO3r+4KYf2jw/X89KoRbD8U8KWICNMRZtJ086mAwMN+9fZyLp6WzezRaVhMGgqP13L/DCO+Lx9HaalFAsanDGTslVfy6McVvLW6iBmjUvj9j8bTbnejkkS0VgUlrh/eulAlFIKIMHgBextUDBlzEfadZ8d1CujGLsWhikA0hQdaxWpLafzsmeC60Vf9jl0FLUxQhxoDtm7+gMTrn0SRfYgGS1AxFPK3ic/A03hGveRrb8LvaMdvbyXppqfwttSApAK/j469awLGvKIKhxf+vuYUbXY3Ny4ciF8ReHd7KzNGLEbMmYOoUrPuWAdSQwdzljxA80ePEXPBj2he91pgm12wH/ka7fCFXDE1n4o6G/3TwtlV2L2v/TTqW5xEW/V8sa0MvfbMY2LMwDgyk6w8+uqu4O9xV2EdFqOG+64YHjCj7XOC/v9Cu8ODq5dBi93pxdbpJfosgvdYVTtR4foePXC8Ppm5wyIxdZTRvOmdoLeULm0g8Zc/jN/pQFBrEEQR67jF1H/8x6CqzDIiCr+9FUPWCDqP7+62bUFSo7JE4W2qQjKFkxRrxqWfhHhoXagpOiDqzVgHTyHhkI3jp1p55OWdyLJCSpyFmHADMeF6mlqdrNt1il1HmzhZ3c4v4iK457JhbDtcw5YD1bTa3CRGG5k5KoV1Z5GWoijg8vi5/6oRPPnmnhDz+YzEMOaMScXr8zMkOzok1VCtEnnw6pFoVQJ+n8y4QXEUl7ewv7iBq+b25501oWmLF4xPY0B6BJEWHXGRBvRqCb8SMH0+t41Lr1WxYGL6P2z1Q1EIN6i4aX5e0PTZ7ZfRqETGDIwjMkyHtquVAcCglrj38uH8+b39WM2aoGF+hEXHtfMH8Md39oVI5FdtK+O2JYOD5z5rdApeb9+AuA/fDfyyTKvNhcUY/Y8X/g/ApFfjcPnw+uSgMqEP/x4EQUAGvLKCQGCMqHzLBSGXT+5x7Hga6/ecIiclnHe/KuLWxfm8taaIIyeagu9Vq1nLjQsHUtlgwy6JWHsZr2niMxANYXiO76Z57cvBz1XWWKIv+BGuigLautr9VeFxREy9EkfRdqSwKBBVIId6bgpqHYrvzGem/Gk4I3PYtLd7kuypOhsna9rpnxZBUXkLNQ12xg9O4Kl39weTuQA27avigvHp/OGOiXy9vxKjXtNrMQQCRQ+lS/H09f4qHrp2FLWNDkqq2gDol2AhNc7CvPHpCEBStIlPNh5n6sgUnv/4ENfM68/grDHYO70YdCoMOjWffl3CrsJ6fv+j8ew/1sBti/N56t39IebN0VY9d106hFabm8VTMnnmgwM0t7vYVVjHo7eMJdKk4aFrRgIKeo2E3e1n2cwc/vbpEVbvKOfSmTn8+b39HC5p4nDJGYJrQL9IGlo7Q8ZMkiiQkxbep2zoQx/+CfQRQN8DCAI0d7hCyJ/TKK/toPBkM4Ozomlo6eTqeXlkJlm6kT8Q8ALSCHDJ1AwWTkoPRBOrRPxdprMiYNKImONMKAqoVAJhJi2trYFJm0qA7JRw1u8+xcM3jOFUvQ2fXyY9IeCTkRht4rr5A1CrBKKsBspr2wk36+iXGMb7646hEkWunpeHQIDM6ZcYRnykgfKaDpxdD2lFgf3Hem8t2XaohkWT+tHR6UFRFCalCbS890SImsd9qgCx6THuu/Ah7n25kPW7T5GXFkFKrJk/vbefNpubR6+6jfDKb3AcXI/idaGOz0Iacxlv7bKztaCJp388AylpNEJTKWqVhCk1l9ImhZITTmZd9ADu/atwHN6A4nWjTeqPYfoN+FU68hIF9NnL8NT/HtndpSqQ/XhbapGM4UTPu42GlX8JadGSTFai5t1Kw2dnesO1san47C04KwoxD56GoDeDx03dp0+BPzBQMOaOxqCVuGZ+fzQqiS+3lTFrdCo6jUSrw8/HG09R0GWqB7Bxr5HfXvNbOg+tCiF/gtdt32eMWzySB96rYOaoFNITLL32dWcmW3F7/EwdnoROo2JjV/vgrNGpIWTkaXQ4PCxff5yfXDYUepEV96FnnPYsOF/k7KJJ/VCrJHYU1SMKAnnpkZTWtJMQYwqJvoVAu6W900Oi1kHtB3/ibJm7q7yAuvceJW7ZL3CVH0GbmE3z+teDv1d1dDKa2DTqP/oDsUvuw9NYGSSPAgcrETXvFtr3rCJs1AI8DaeoNpl5fsUJHrjwl6gOfIKnNNBWqM0ahXH8pbRjZsxAE1azlkEZUSTGmDhe0cqvX9pBU5sTWYGfXDaMxtbA/eT3y/zib9v5zc1jmDg4gTCTFq0kkDQ9iwUT+3URXgox4QbW7q7ApFfx+I8ncLK6neZ2F9kp4ei1KuqaHVQ12LlsVg6Xzcqh8GQzJr2GQZmR6CQBpYtcEWWF6+fnYXf5aGl38dQ9kymv7cDrlemfFo5eLSEoChlxJgRBwO1XWLW9jLsvG8banRXsLKhFVhRG5MZy9bz+GFRiN7PunqAogCKjEgBZRitARtezGQjdhqKQl2rluZ9Opbndic8nc6yilfkT0nl7dVE3fwRZCZjz33flcAZlRGI1aPqI2T58Z2i1uZEVsJq+PwoggHa7m6jzRGn34Z+DIAq0O328+nkhh080IYoC4wbFc8XsXPQq4Z96Hv6zkM6THKmSRPYW1zNhcCIna9rJz4zi4qlZ6LQSshIgpXYeqcXnl1lb2sRDi++n8YPfBiLdT2/faCViyuWgyAEfyLMQOeMaGlb+Gb+9LfiZr7WOhk/+ROyS+xD0pm7kD4Bl2ExEUwThU69CnzaQZq+Ov31xsttyp7H9cA2ThiRSVN7CwMwodhypDSF/TmPVtjKGZEczfWQKf3xnHz+/ZhSvfl7YwxYDytEDXV5yXp8cKBJcnI/H68ek11BS2Uqb3YPPL+P2+jlwvIFrFwzkna+KGZYTw0cbT1BU3oJRp8InK7jPIl5eX3WUOy4ZjMcn88A1I2nrChUJN+vw+Pw8/cEBqhrsIS1nkiig06jwePycbuKyu/3c+8wWpo1I5o6lQ/j06xMcPN7AT68azkcbSiir6cCoUzF3XDoD+kXy+9fPFKhEUeCnV47AqJG+deKxD334b0QfAfQ9gFotsfY87Tjf7K/msdvGIYkCGlEImpqJooBfCfT3qlWBXGlFCRjNqgGEng3QepsHyLJCQrieSUMT+duKIyiKgkoUSI23cPW8POqbHeSlR/D+umMhfcaSKHDbksHoNBLZKVZa2l1dCiMdzR1uZGDsoHg+2XSCIyeaMBt6HwQGzkXi1c8KmT0smpj2z3ts5ZI7OzA0H6NfYhjN7U4iwnSUVLXh9vhxun3c/2oBv7xmFvr4CQgoFNS5+PTj2qA6qcGh8OSbRcwak0puagRPP3Ug+HJ6Z7XAVbPHMuvaC6huspMQZ6HjyNc4D67F6HLgSssn5uKf0bblg6AJoKg14K45hqNoBzEX3oO3uQZfRyOaqGREg5m27SswZo2grTHwd7ZOWoa/s52YhXcg6kzI7k58zg5iL/oJvvYmbIc2Ys6fSmvBdtYVxVPT5ODuS4ciKwpxkQa2HKwJIX8AqhoclFW3EXl4U6/XV12xi8ykHD5Yd4xlM3PYdqgmaAB9GipJZPaYVO79y2Y0aonLZ+cya3QKB441Utvk6Lb8aRScbMbl8aOT+pqv/xEkScTlDxgmttncJEQFZM8RFi0tHaGqkmsuCNx7dz31dfCzcLOWx7pUb0OyozlwrJGkGCM3z0omWuXAaNTR+s179ORx4He046o+jsocCX5/iHePZegs2ravQPG6aPjsGSJnXAuyD3ddGZLRiiFzGG3bP0Xu7EAdHofbK/PFrmpO1du59/XjzBkxg9ELLkIBNhzvoHxFJdcttOD1+fH6ZL7cXk59iyNkIBgfZURWFGydXvKzojh2qhXZH/Dm0YoBdkv2K/gR+MPb+xAEGJIZhUGvZuKQxCDx8/GmEow6NSP6x/Loq7to7PL4eG/tMaKsOu69fDiSKKCXuk9IREXBopUIjzejKAqD+0Xi9PqpqLVhMWqICtOjFcEjwy/+voPGVidf7TrFpCGJ3HfFcERRIDXOjE7i35rsnJej6SL4EyMMzB2XzpqdFSTFmCmtbu9xcbfXH1CBDk3si77tw3eK0/fi98UE+jQB1Gb39BFA3wI6vTI/++tW3F0qQ1lW2HqohsKTzTx++wR616X8a9BKIjNHJfPm6u4JjACzxqTi8fiD5vijBsSREGXina+KKS4P+MfcvCCH/EQ1UxLt4HUSc+HdeFtq8LU3oo5KQjJYcBTvRPGHEjnqqGS8rXUh5M8ZKLTvXkX41Cu6faNOyIbUEdS3u2nRxaPuMLP7aD3+8zzsTxeEoq16wkxaNh/oXfW0u7AOs0HDNfPyKCpv5qq5/XlrdVHIMjHhemaOTuH3b+wJfjZjVAqFJ5uJthr4xYvbQ97JgzKi+NHF+ZyoamPJtCyOnGiiqDygOj1baavVSCybmUN6goUTVe1EWHRYjBpKq9pQSQIJUUYef/PMPs/GjJEp6FQCfl9XAIlK5Ov91TicXj7fcpKkGBOzx6QSZdWjKIFxUEy4gROVbew+WktSjIkfXTyYE1VtWE1ahmRHE2XR9lgc70Mf+tAdfQTQ9wCKAq7zxLR7vH4EQFIU/F0PaVkQOFlr48ONJbR0uMhJCeeSaVlY9KpgZfv/92Ay4sz85sYxuL1+JElEqxIQlEDFffOhmm4mc35Z4fmPDvLne6bw0AtbsTvPnMv4/ARG5sVysqaBCydnsG73Ke65bCire1A7AYwZFEd5bQdDc6LJjNPjLS7p9VBVdYWMzL2A/v2i+NunR0iNszBqQBxrdpQjywprdlcRGabjyx4Se/YV1TN5WBIj+sfxm1d2hky8/LLC66tL8Cm5zBwcjq+xHGNcKoZZ1yNIKuyHv6H+/d8Sd9Wj2A9vQvE4kUzhuA9twF1TQv2Hj6OOTEQyWuks2YuvvRFBpSFq3q1IxjCsEy+l8/hubAfWAaCJSydiyuU0rXkJxeNEE5tO9KI7qf/4D0hpw1FJIm02N2+tKeKhK4cg4qW5zYEodJ/XqSURxdezUTeA6Hdx6+J87E4v7TY3v7h+NC9+cjjY2pcQZeTqeXnYHV78soLT7eOVzwq4dEY2D147kqJeIrfPvnb0EUDnhSgKtDq8PPLKzpAWosFZUTx6yzju+fM3wb7+wABQwxurzqSNXDwti2lD48DeRITbxk/nRlM1MY4ItQfXF0/icbQRNv/HuGtOhO7XYME65kLUUQGfL5U1BrkztKoomcKDih+5s4PGz55BMoWjjkhAdh1FdtqRLFGET76Mtn1rcGTMoLGlHACn28en26r4dNuZ7aXFW7A5POw+WsfU4cnceekQWjtcaDUqCk82c7K6jUWTM/nze/sx6dUsnpzJU+/tZ2hODGopQGqfvmblNR1BxdqpOhtsLQvup7i8lVF58ei1Kp754GBwwnkaTW0u/vzefn57y7jzEjR+v4wsirz4yRH2Fp0hxsJMGh6+YTQt7c7gtt0eP+t2nwq2pY0bFM+NC/L4v86alWUFg0rgt7eMw9Z5/ihrr8+P0Jd+24fvGPWtTkSB740X1RkCqM8H6N+FKIl8sv5YkPw5G602N/uKGxg/IPZbSWPy+2UmDkni6/3V3RQxw3KiSYwycvsfNuGXFWIjDEwbnszvXt8dfObPHR5NUstu6r5cjr7fYLxJuagj4tHEpKKNz0TxeWjf/QWitrs/kCYqEXdtaa/H5q4NvG9jFt9H54l9KH4vhryJFLQZeeqZA6TGWbh8Ti4vfHwIlSQyZ2xaSEvT2ZgyLAmH08Ndy4Yiywqe87Tverx+6podTB6WxJaD1YwZGMfvbhvHtkM1dDg8jMyLw2xQ88wHB3F7/ERYdNx84UB2dgWB/Oy5rd3eiUdKm9iwp5KWdifL1x9n2ogUblw4kIde2BYcm6hVYiDQ4ZvSkPFJhEXHL28YzYbdpzC1dDJmYBw7C0LtBuIjjcwcnYL/LLLGp8Chs65HVYOdVz47o2aKDNPx2G3jKShtYtvhWkx6DWMHxTM4KxqtRgoUlvsKHX3owz+NPgLoewC/X2bysCS2Ha7t8fvRA+LQqsSgr4QiCKzeWcHHm85M8Bpbnew4Usujt4wlJdqEoij/0PNBEATabG7anD68XhmTXoW2q2VMAgzqLqmtHOgcFgSBVWdNus6GrMDmA1WkxFmC/hQQiAtPjDZRVN7C8P4x3H/VCDqdXkbmxbLnaGj0s9mgZtaoVH73+m6WTs8mJd6M1xSOt6XntA4pLJaJA5P4xd920GZzkxRjYt64NIblxCAIUFlvIyvZyq7COprbQ00Dqxps3LF0COv3VPZadW9otqGzu2hc/WIwylpQaQgbu4iwqETavnmfiOlX4be1IHtdqK2xwXW9zdV4m89UbSSjFU1sGpGzb8JdW4qh3xD06fkIkhpPfRkdB9djGT6H9h2f4qkvo3n965jyJuCIyKG9sJWfXzGI7CgB3/a38LRUsTiuP4tumcAzq6o4VnlGAbC/zMbsjGG4Srp7twBoc8Zx/0s7uHb+QB57fTcpcWaWTM0MDsxbOly8tbqI6xbkhax3+EQTGo1Ebmp4zxcLSIw2BRIZ+lpNzgu3X+FXL++g3R46eT9U0sTKzaU8e99U9hXXkxBtCkikvX6uuSCPzzaXkhpnZsrAcMTi9Xh2f4LH78UpiKRe9gsaVvwl6Gcgu+xIJiu+1sDASzRYiFl4Fy1fv4PnLG+suGW/QNQZg949it+LoNGjeM7cc357azAi3jJyHtq4fvi9HlzZs/j7l2UMzY3h2KmeicFx+QlsP1LDuEEJvPDxYU50+Q0AjB4Yx7XzB/DOmiJmjExhYL9IXv28EK9PZsHEfpysaSc7wYIsK6hUYrfnxdkoLGtm7rg0NGqxW/XzNBpandidXqz63l97oiTy6TelIeQPQLvdw8N/38kD14zsdd3DJ5rw+hXU/wH+U5YV4qxarGYtUVZdiO/aaQgCpMQFFE196MN3ifrWTsJMWiTx+1Ec0GkkJEn4h2lRffjH8PhkDp3ova1/V2EdYwfE9vr9vwJZFFm7s4LLZuXQ1O5kz9F61CqRWaNTEUWBHUfqggrleePSeH/dsSC5EW7WMjbRh+eL9wHQRKegDo+jafXfgu8/QaMjYtIyfI521BHxOIq2B/ftdznQRKf0emySKRy/vYXGVS9gzB2LZfRCWglHp/h44sfxNDR1YJE7eGhhHIqkQTAYGNgvspuSOzbCQF6/SMKMGr7YVsbMkSkM7x/DtkM9zw8GZ0fzzppifH4Zk0HNys0nSYw2csGEfpyobCMmQo/XK/Pza0fi8ykY9CoURWHR5AwOlTT1WhBZvaOcmxYNZOO+Kl77opBBmVH8eOkQnnp3PxAIA9lysJrCc46/pcPFb17eyfULB/CX9w5w/YIBjB4Qz7bDNbg9fiYPSyQ/Iwo1ZwoToijQbHMTYemdII6w6JAEWDo9i4WTMvh8y0keeWVX8PjjI408eM0IwvTqvuj3PvThn0AfAfQ9gCwrpMVbyEgM6ybnN+hULJmaGWIq6vLJfPL1iXM3E1DifHyYK+bkUlTewowRKZi0PU/IRVGgtdPLU+/uorw2MGk06lRcO38Aw7KiEHqZNLQ7eh8wtdndGHXdxb5rdpZz7fw8nvngIA9cPZIjpU0snNiPUXlxrNt9ik6Xl9ED4hg9MJ73viomOzmcxGgjtQ6JpJGL8H71Qg97ExCyJtBu99Bud3PF7FxkReFnf92Ks0tNNbBfJKMGxPLIzWPZfriGrQdrUKtFZoxMwWRQ8/aaYrTqnm8BQYClYyKpe/+BoCcPgOLz0LblQ6Ln/wh74Ta8LTU0fPInECTir/gVbds/pad6u3noDGSnvStaW6Hhs2eCvivaxBzCJy4FAdp3BIypXWWHiZh6JT6vml/NcuI//hG+cglD9kj8sSm0bHwb4cg67ln0ED9/3x1MxVizt47FP7oUd/mhblHxmsRcWoVw7r4sGZvDTWyEgVN1Nl75rJCpI5IZmh2N1azl2vl5tJ81MFZJIkumZfLch4fodCYzdXgSm/aFpsGJAtxy0aCuFsW+CWdvEISAwfa55M9pbNxbxcXTsgB44s29wd9yRmIYdy0bSrhZg7ruCK4dHwBgyBoRSHtzdYaYWdoKNmMZMoOWTW8DED5xKc0bXsd7lhE5QNuOFYRPuZzmNS8B4Cjajjl/Ch17V3c/dkmNZLRS/cpPEdQ6TGOXMCEnk6i4MGLC9d1ilSMsOgb2i6S8roNXPiugoi60YruroA6dRsVls3JZu6uclz8rYGhODCP7x/Lq54XERxnJTR6ILPtRFAi3hJqvQ8DTISc1AotJQ3KMiZpzEkHORafbd14CyOWTWbur53Zch9NLW4eLCIuuxxQas0GDKAj8p/Q2fr+CThK49aL8HiPlL5yUgV4jofRJ4vvwHaO+xfm98f+BQDHLrFfTZusjgP5dCIKASa/pkYQGsJo1SAL0rnH/56DRSmw6UMOHGwOq8JQ4M4MyovD7Zd5ZU8SNiwbRYjtzDDERhuDYFmDm0BiEI58FjllSo08dQN3yx0MsBhSPi+b1rxO75KdIpnA0cel46gJFT1dFIdbRC+nY8yU9jvGGTEdljkQyhmEeNJlah5qtx+qYMToFd3srmU2bse35AtkfUGhrUgfyi6W3sv5oPBv2nsIvK4weEEduagR/eGtvl+LUxdrdp1g2M4f9xY3B8cBpZCZZgYCnT22Tg8p6OyaDmoPHm/h6fzU3XzgIg1bFpoIq8jOjWL29nL3F9ShKIK0yMcbY6/V2OL3oNGfelUdONLF4SiY3LBzAhj2VjB2UwG9f7W5iDQHll9mgYeHEfry1ugiDTs3IvFiWTM1E22VjEaK6VwI+QgsnZXQbW57GxdOyUAkBv6nNh+r4aldFyPe1zQ5+8bcd/OGOid9ay2Ef+vDfjD6z9O8J1Cg8cPUIrpybS5RVh9mgZsaoFP5056QzShwCxM3J6vZeRRZVDXZEQeCzzSe5689fc7LWhkotca6/rFtWeOiFbSEvSIfLx3MfHaKszobUQxuPJEBOcu8KkOzk8B6N6jocHgzawCO5qd3J8VNtHC1rZnhuDA9eNZxfXT+KRRPSibRouXb+AK5bkEdWchgRZi1C0iA0eZNDNyhKhF/wY0rbRUDht7eOIzJMx3trj+F0+5BEgWvn53HBhHS+3FrOxj2VjBuUwAPXjOQnlw1jy8Fq/vTOfo6faiMz2drjuQzoFwllu0PIn7PRvncN5iHTzrRbKX469q4mat4tgRSIs2DMHYNkikD2ulF8btp3rAghZ9zVx2ha/TckQ1joTmQ/rvXPY/v8T3Qe24WjaDuNK5/GVVVM5PSrA8aF29/gkvHxwVUsRg0uXSTx1z6OccBERJ0JVVg0mnGX0zr8Ou57+TAPvbANrVrFfVcMIzHayAPXjKTD7uaJt/byxJt7+euHB3E4fVwxJ5cxA+P4zc1j+WpnBXqtCqNezcJJGdy5dAjJsWaMOhVDsqN55OZxJEYb+yov/wCCIATNjntCcqyJYxWt/H1FQXCwlxJrZtGoaMz+dhK0LtRNJSCI6FIHYRk1H0WR8TvaQrbjqTuJqDdh7D8ORAmVObIb+QPgqijA21hJ3GW/QJuUg+vUUQwZw9ClDQo9bpWG6Pm3074zMIBWvC5sm99hmKGar3ZW8KOLBzNvfDpWs5YwU2Dgd/dlQ3nmgwNEW/XdyJ/T2HKwGkGAYbmxPHjNCKwmDY+8spPy2g6MOnUwdtbr9TPxrJh2q1nLTYsG8vPrRpEWb8Fq0tLQGoih7S3VRxAgwnz+FhSfT+6xleE02uxuLL34mCyc1A/Nf7j90e9XSI8z88TtE8jPjMKoU5EaZ+anVw5nybSsoLlmH/rwXaKuJWAI+32CSa/pluLXh38dGkngwskZvX4/b2z6tzIusLv9fHKW6v1UnY1V28pYs7OCU/V2qhrsDOwXGfxeQEA8S3EWZZbwdwRajAzZI7Ef3d6jvyRAx8ENiIYwYhbcSfikS5EsUYg6A+6mSqIX3tl9jDdgApLRiv3oNqKW/pLtVSL3v3KYDzeWUHqqBWPldjp2foriP9Oe764ooOWTJ0izBoifCYMTKCpr4dFXd9Fqc1Pf4mRXYR1rdpTzt0+P8OQdE5k8LAmTXk20Vc/F07JYOiObl1YUcMWcXKKtejKTrERbDVy3YAA/vmQwH6w/hkYlMXFIIh9vLGFPUX1w7lBR18HAflG9Xu9+iWHUNNlDPtt6sJrJw5JYODEdrVrq1Q/y9N/H4fLywNUj8fllvtpZQVF5S4giVRAEVCoRGahpcrCvqJ6r5/UP+bsBzB6TSmZiGLKs4PLKfNpDARwCc41TdR3d1u9DH/rQHX0KoO8JFAUkFGYNT2LS4EQURQm2fZ0r0VRJ5+ftBEEgK9nK0hnZNLW7qD5gJyPJSqxVj0oIkEjFp9pYOCmD+CgjbR1u1u85FSSD3lpdxC+uHdVt8iAJcO38PB58YVs3Aio2woDZqAl6yZyNxGgTbfZAZSYzycrI/rH4/DLbDteg16oYkB6J5JMRFIUwvYTbL1Jc0UZjm5O4CAOx+UvQDZiD3FAKai3esBRe3d3I0lmR2Jw+mto6eW/dseD+bl2cz+7COl7/4kxf8idfn2DW6FTmT0gPtqjVt3RiMWp6VC9Eh2lRmst7vcbellq0cRnYDq4LfuYo3oHsc5N4w5N46svwd9pQR8Tjrj5O06rnSbz+SRr3fNnj9nztDfhsLYh6M7LTFhhgCAK+2jMeSKLBAkDnsd0Ys0cjGa24a06QM0qLRiUyZUQySyclIzWW0LT9A7QxqURMuwrRaKVVE8dvXzoUTG546r39PHzjaO69YjjPLj9IWc0ZIlAQBD7ccJyr5+WRnxnFnqI6Rg+IozPDx+YD1bz5ZRGP3DyGaSOSMRvUVNbbefKtPWQmWbl9ST5iX8tJr5BlheRYc6/fzxuXzttrzhhcLhmfyKx0N/6dL+JtqaFWo8OcP5W4pQ8gWaJo2/IhnWWHiL7gtuA6gkaHqDXQ9NUrWEcvIPbSh1Bc9p52B0DHvjXoM4ahTx2IOX8q7roywkZegHXcYrytdUh6E4Io0b7rc1yVoe1Vnj2fsGzWgzz4+h6GZEdz6+JBJEab2LCnkkde2oleqzpvlV2WFWqaHGzaW8nSGdmYDRp+cd1oNu2r7BZdbtBI3Hf5MARRQBAEquptNLe7yE0L5+3VxazaVsaVc3O5cHIGH27o7h02dXgyWrV4Xp8AvU7FrYvzMRnU1DU5WLf7VMgzrV9iGKIAL60sxGxQI0ki7XY3w3NjGdn/2/G5+FchKArRZi13Lx2M168gigJ6tdiV8Pjv1t370Id/D7Ks0NjuZEB6xHd9KCEwG9Q096Dk68O/Br9fZmB6BBMGJ7D1UGj66NIZ2URatN9KG6osc17CrqbJTkK0kaQYE1UNdg6faGRUXmzQf6as0UN+bD98rbWozJG4ao73ui1vSy2Kz43stGPIm4AhZwzuqmJc1cdxVRYTe/FP8bU3Irud6JKy8XU00/j5X9GlDmDlN5Ws2Ham/T9S48ax5/Oe99NUSYRkZ8U3VSFx5ipJDCnCltd0UFrdxoyRycwclUJtk4NvDlSxs6CWu5cNRRDgZ89tDS6/dlcFmUlWfnzJEEpr2jHqVBSeZc0A0NzuQquWiI80UtvcXTm7ZGomb34Z+r6XJAFBgUirHkmE+64Yjs8vs+doPTsLakMIodgIA2+vLuJoWQvXzR/A0x8cCM5dRFHAI0N1g52KOhvJsSbuXjaUFz4+TL+kMH55/WiqG+14fTJp8RZ8Pj9qEXwy+PyBwIjeUFlvJycp7FtNnutDH/4b0UcAfc/g88mBP4pASNvXaZxuF5NEoUf2PSvZSrvdxSXTs3nq3f0hktGkGBMPXz8arRBI7tpZUEtFbQfR4QbmjUtDQODlrlaNnh6dsqwQY9Xz6xvH8NLKgi61EYzKi+OKuf35c1dv8LlYMjUTg15NVrKVcLOW1z4vZGfhGVM4UYA7lg5hcFYUVU2dPPrqrpCIybR4C9dekMdrO3R0urzkpLZw5eRUtIqDWoeflFgz9ywbRkllK0XlLXj9MnuKuvuFrN1VwQXj0zAb1MEXyMsrC7hr2VC+3FbGnqN1yErgOk0dkQK1GXCsZy8dTVQiosGM43howoHzxH78Iy9AESQESUX9R0+C3JWM4XGGtOmcC3ddKSpLJB6nDfOQ6TiKA/JaY94EzIMm4euqXqksUbjrK4iadyve5hqkaAt3LhtKQqQRo6OSho9/B4Cn9gS2QxsCxxubzs8uvoVfvX2UMJOGiUMSUUsijTZnkPyZPSaVsQPjqWvpRK0SibDoiI0w8PMXtoVM4hOjTZyqs4UY/wEcON5Ip9uHSdOnOzgXKpWI26egKAoRFh1p8ZYQ9d1ppMVbgoRDRlIYs1IduL58Jvi94nHRsXc1hqyR1C//fVdLIchOG7rMEVgGTADA39mByhqDv7MDUFBHJWMaMBF78Y7uqjZRBbKftm0fB47VGkvUnJtp+PiPxF76IM7KYtq6WsnOhd/WglENP7lsKJFheqxmDZV1dtweHxq1hEmvJjWud8JLEgVUksjuo/UUlbdw7xXD+c0rO7lu/kAiLDoU+cwzUBIgLcHCL/+2I2QiEG7Wcteyofz1w4O8vbqYP9wxEbNRw0cbSgLqQ52K+ePTmTU6FUHunaCRBYHCk818trmUhtZOUuIsXDYrh9Lq9mAqSYxVT3y4gaE5sVTUdeD2+MlIDEOnlRDPs+3/ayhKwOlZLRBITesb/Pbhe4LmDhd+v0L498QA+jQsBjUnqnt/H/fhn4eoKFw7rz8XTs5gX3EDGpXI8NxYjFqpVzuBf3kfYsAI+Gw/R0kUGDMwnty0cPolhrFu9yluuWgQ63ZVsO1wDX/40Rim9DfT5vCxqaAV5s6DYzvwtTeiiUzEXXWsx31popLwNJ6i6YvnMeVPRRuXjs/egr0rYdV5fDeSORJ1ZBLauDQaVz0PiowmNo26U6HkhE7whXjqnQvJVo/VrKWu+UyhYfrIZHYWnPH8sTu9GHVqfvPKLrJTwpk2IpkLxqfT3O4iPtLAnU990227J6raKChtYkReHM1tgf1HhumYMiyJcIuOumYHL604wv1Xj+CjDSXsKKgNJAFHGVk6I5u9RQ3dCrpDc2J4acURls3OZfmG4+w4UoskCkwYnMCTd0ykrKadspoOKuo6aO5w4fHJVDXYkSQBq0lLv4SAyt3ukfnVSztC/pZWk5a7lw3l+Y8PsfVgDTHheiRRpN3u4k93TcbX1cqskgQsRg0djp7b6FPjzX3vvz704Z9AHwH0A4RWErjlokE8//HhkM/1WhWXzcrB51d45oMD3fqFqxrsvPxZARdNyQyJg6xtcvDKZ4XMGZvGnDGpHDgemFRKKhGvX0ESBQQUOpw+lm8opsPh5v6rRlDX7MBs0KBSCRyraOGGRQN4Z01xUGFjMWq4eFoWp+pt5KZFcO9lwzh4vDGE/IFAQb6izkZmkpXfnkP+AJTXdrB2dwWDMqOY1t9IeMsRnF++SaffT3r/cSiWyTy/poJOp5fZY1KJtupRq0S8PXhfbDtUw+KpWUHyoqXDxeNv7GHqiGR+fu0oIsJ0FJW18PcVBTx+9Ricuz5G8XV/0VjHX0zjF88HyZ1z0bTyL8Rd+nMElRql63z89lYEjQ7F03PVUWUKR3Y7MQ+bjXnQZBpW/oWwUfMRtQbqPnzizL5EifBJl6L4fXQcWIvO7SQlYTQqxUnbhtd73LanvowsSycXTs4gJyWc1TvL+fuKI+RnRgNw1dz+tNnd/OaVnUGBhFolcvvFg/nZVSN48Pkz0U4LJ/Zj1baezcBrmhzkJIb9zxnPnr5XRFFAPGcCLosCu4oa+HxrGU63jwn5CTxw9Uhe/qyAfV39+HqtigvGp2PUq7CatLTZ3Vw6Lgbv9qe77UsdmYi3qTJI/gB0HPqaqJnXUv/REwHDclFF9LxbkD1O2te/gezuRJ86gLilD9Ly9bt4zkozMedPQfa4MOaNR5fcH8kQRuMXzyK7HSg+L6ou5VlPEHVGdHodEaIWu9PDSysLaOlwkpMSzu9uG0dzm4uaJgcZSWGUVnWPK584JDFo7mzr9HKopIlBGdG88lkBgzIisWjPkIk+BZ54a1+3KnCrzc3LKwu4aHImL60s4NnlB/n9j8YxZkAcHq8ftSSiU4shiSPdT0Rg9Y5QY/2T1e385f2AieXiKRnMHp2KJAgcr2rjqXf3B9NQBCFwTywYn96nfutDH87BaXVB5HkMXr8LmA0a2uxuZEXp8u7qw78DUVGIMKiZOyoFUAIT9m/xeahXS1w6Izs47k2JNXPjooFsPVTNZ1tOotOomDIsiQiLjlF5sdw+Ox777vdJKjtIitbAiLHzUPRmYpY9TMtXLxE161psR77pcQwXNnYR7bs+R/F5sB1cj+Hi+3HXlZFw3ePYC7bgd7ShS8lD0plo+OzZQFFFVGEcNJXdXx0KPW6jAZekDmn/OhummHgczoDvjUYlMmNUClnJ4Tyz/EDIcl/trODGhQN54ZPDQePlwVnRtLT3rmLbtK+KqcOTcbl9LJmaSWqchTU7ywMFjlgL1y4YwKotJ7l0ZjZLpmWCAka9mhc/ORycB5zG5KGJ1DTamT46lfuf3YLdeeZ81u46xYHjjdy2OJ+dR2q5em5/1uwsD35fXtvBrYsHoZUEvAr88Z193YJZ2uxu/vbpES6fnctf3j9AQ6uT1Dgzj946Dr1KCI6pdCqRS6ZnhSSEnUa4WUtyTB8B1Ic+/DPoI4B+iFAUhmdH89Rdk1i1rYyGVidZyWHkZ0Xz0YYSZo5ODXk4n409RfXMHpPW43drd5bzyxvGMKJ/DB6fzIrNZRw71UpchIEFEzPYfKCKrYdqGDMwjtXby1m9o5xBGVHMHpNCapyFR1/dxdyxaVw0JRO/X0GvlVBJItHhesJNWjQaia92lXfb75iB8USF6SiuaA2RwZ6NXQV1vPKTkXR+8Uc6Gs5sw7ZzBVLBN9w29+fc/fcj/H1FAfmZUVx7QR5vrylmWE4MOq2K0qo2yms7OFLazI2LBnDh5Ay+2HoSnz8QdV5Y2sTMUSkcr2jB55e5am5/apxqwhc9iHvdc8HecUGjI3za1XjbG/GedRynoYlNw9PltdK6+QNiFt1N89pX8bU3YC/cinnwdDr2rOq2nqg3oU3IJHL61diLd9C2YyWGnDFoE7Jo+PRPoQvLflq/fpfYi+9Hdtqxb/sQlXUzkZf8nLqGim7bPg13+WFG5c3i5y/sBAImvRMGJzBtRDI5qVY+WFcSovzy+mSe/uAAj98+gctn59AvMQydRoVGLTEyL5bGNmc3kjHM9O3IvX8okCQRl09m3e5K9hbVY9KrWTixHymxZlSigE9WePbDgyHxpp9uLuWbg1U8fMMY5o5NxdulDNpysIrGVidzx6Xx6dcn6BejxdHRPSZWE5vWrRXLOno+dct/H2gfBCKmXoH96DacJw8Gl7Ef+QZH8S5il9xHw4o/I7udGHPHEjZ6AW07V4LfT/vuVcEYeE1MKt6GCtQpgxC1BmR39/ZO/bAL2FXmpKymgTU7z/z2mtpq2VlQx31XDOeLrSe5am5/PtxQEhy4ikIgIWzUgDj+9M6+4HpHy5rpnxbBoZJG1u8+xaXTMvH5ZLxKgOip7MFjDALkdmxkILrX7vTi7TJIVikByfl5yR8C5s+fftNzxO/y9cf5012T0AgKdrePJ9/aG9JFpiiwcvNJslPCye8XiSLLwWplH/rwv46apoCitDfvrO8KZoMGv6zQ4fBg/Z6pk37I8PnOnz7bGyRJwOMHh9uHLMsYdWr0GolOjx8BqKq3YzZqWDw1M0CGLBrIE2/txXHWWPet1UUcLWvmZwsTqXv9ZwGfRMAPeNe9iD5zJKqZ12EdPR9BbyZ28X00rf5b0ENP1JmImHI5tgMbsAyZQeexXSD7UbwebPu/QtKb0SXlImi0tG56F0/XGFAyhRM56wbsPlU38sGvNaMZMBn34fXdz9kcgc8QzSM3JeP1yxh0ahRF4a6nvu7Gne0tqmfRpH48dts4Nu2roq65k4lDEigub0USBWaOSmFEXiw+n4JaJVJwsinwvhUCYz2jXs1T751R6Te1uThwvIG7lw3lUEkjb6wqYmhONFfN7c8Vc/szNCeGvcX1GLQqJg5JxGrWsWrrSRq70jTPRWOrk8oGO2kJFh55ZSc3LRpERZ2N0qp2UuMs5CZbkf0ynR5/j+pnCJDFqXFmnv7JZNQqCa1KRCK0oOb3y4wdEEebzc3KzSfxdXVKpMSZuf/K4WjEQLtgH/rQh/OjjwD6HkKlEhG7nPJ7S1QSFAWrXsXVc3JQEGhsd/Kz57YSYdHRcZ6kLkUBTy8vaFkBl8dHhEXH3X/+JvhgLa1qZ9vhWq65II8xA+PJTrGybncgKaewrJnFUzNxOL24vX4+WB/oq75x4UCaO5x8ua0ct9ePJApcMj2Ley8fjtPtQyWJ7Cuu563VxcwYlczbq4uZcJbJ67mIjzIiNJT0SLr47a1oT25hVP8sdh5t5PCJJq6Yncs9lw1lx5Fa2u1upgxPIiHKRE2TnVc+CyQM/ebmcXj9MipJIMKio6C0iT1FDVjNWhKjTfgUgdd2urhw2v0kWBTsdhftPg0f7Gth2fhYNIm5eKrP+LVoYlKJmncrdR88BoC7tpSWDW9gHXchkjEcRfahiUnDb28NiReVzBFEz7uVhhVP423qMuoVRBKue4LWze/1ek1shzZi7D8W24F1+NrqERUfgkrTo2IJQNIZaG0+o8LISAojKzmcyno7n35dSmaylSXTMnlv7TGOVQRivRUF1u85xaTBifz65Z3BtsOh2dHcf9UI/vj2XhyuAAkUYdF976q8/5cQBHB4/Tzw3LYQOfKB443MGJlMfmY0ep0qhPw5jZYONx9uLMGsV7PlYDXZqeGggNevkJEUxm9uGYfb1waC2M2oUvY4UZnPmF2KejOK1x0kfwStAVVYVAj5cxqK10X7vjXEX/kbUJQutZCEt7kGd9WZ37I6OoWIaVfTsusLmvR5xCx4AO+aPwfj4EFAP3AyLXGjiMHAC58UdNuXX1Z456ti5oxN4w9v7WXBpAyWTM1EkkRUosDOgjr+9M6+kFZWs0ETJBWb2gOyda8Cv3ppJ9dckHfev4fPF9jO8NwYTHo1ned5Dp6LxlZnr1VDu9OLw+nFYNGycXtFrxZCy9cfxz81C1unh+G5MehVYp8peh/+51HT5CDSokP4nqlsLIZAMEVLh7uPAPo/gCAJuLwKHp8frVpCfx4VpigKNNo8PPXu/mCSo9mg5rr5AwL+L2oVT38QUMRMGJLAr28cw6rtZSHkz2lkxGhp2/R2kPw5G84Tewgbs4DmjW8ROfVK7Md3B3wStXpQlICqet9XuCqPorJEoE3Iwl1TgqAKTJXa93xB7EX34ijZh3X8YhBEBFFEkf1IxnD8rtAiyegBcdjd4E2bSbijDU/p3uB3qrAYpNn3sLfCzYcbC6hr7sRq1nLb4nz+dOckvjlQxdpdp4Lvw5yUcBpaOimpamPBxHR0GhWKAmFGDUNyotl7tJ7HXt+DLCtEWLT85LLhJMWYeWd1MSa9mtED41g6PZvlG854HykKvPbFUe69Yhg/v3YkuwrreGPVUTISreRnReHx+hBEEZ9PxubwkJ0azpod5b3+zfcerWfysETuuGQoNU12Lhifzt8+OUJmUljQ0sLj/QfFGI+fxAg94eFGWlsdwfc6BApukhRImp0/Lo0ZI1OwO71oVCIGnQq1QJ/6pw99+CfRRwB9jyCIAi6fwvbDtVQ12MlLjyQnNRydRK9E0OkXaqRJyxO3T+SDdcdJjDb1ug+LUdNja9TZ3z/34aEg+XM23llTzIPXjKSkqg29NvDTkWWFdbsqmDU6lSnDkvhqZwX5WVE4XF4+/TpQUVdJIvdeMYx9xQ3c/edv8PrkYMvLH++cSH1LJ7VNjvOa447Li8J99LNev/ef2MnoQcPYebSR+RPS2VNUz0cbzxjB7i2qJ9qq5+EbR/PeV8c4WtbChj2VGHQqfnb1SB58PtTnZv3uU/z5nskMyoqiUzRy9TO7Ql4sB0qauX7mMsbNNNHWUA96C/VONeKJwhCfH29LLU2r/w6cTlL6MaqwaOIufQhFlpH0JmTZR/O619Gn5xM+6VIEQcBdW4q7+hj+juZez9nX0YwmJvXMv1tqMA2ahO1A90oTgoguMZvawsDgKi89gvH5Cfzk6c3B89pX3MCX28u49/LhvP5FYXAg1tTqpLa5M2SifuB4I3anl2Wzcnjls0KsJi0P3zAarfS/EwOvCAJvrynusRd9/Z5KJg5NYvvhmh7WDGB3YR1/uWcyw3Jj2FfcgFolEmbSoNeo2FNYw/hMA1GX/RJfewO2gxtxVwf8ClxlR4hZch+2AwEDcklvwhckZkAb1w9XRXdC5jScJ/bjHTg5qCyLu+q3hM+9HUl24W2uQdDo8Ds6sDdW4xl5Fb979QjR4Xqun34fcToPiqeTsLgEOvw6nnvvCAsnZfa6r6oGO9FWPQ6Xj/fXBo5/3KB4VCqRzQequy0/aWgir3wWOPYR/WPxKQpf76+ittmBWiX26n0migJqlYhOI3HRlAy0GtW/RABp1ef3rTptyHm+mPmmNicen5+XVhbwwXoNj902DqNa+p9SxPWhD+eiqslOVNj3KwEMwNylSGrpcNEvofc21z786/ALIh+sPc7X+yvx+RWMOhVLpmUxaXBCj22yTr/CL17cHqIAt3V6eWb5Qf7606nc+/Tm4OdbD9YwIjeWXQV13bYDMKyfCednPftRAnSW7CFs1AVoE7NoWvN3XD0USiAwvpIMFlTW2GDhQ/G4qF/xZ2IW3YWo1uJrb0DQW/Dbm2ha8xJh8+/hl9ePQuxKtzp8oonaZgdvriplweh5jLh4CUJnC4LWRKVd4pXlASVTc7sLrUZi9IA4FAVESSAzycqYQfG8+lkhQ3NiyEgMQ6UScbp8/OQvm/H5Fa6Ync3IvDhWbj7J1/sDbWQqSeTOS4fy7IcHQzx8Nu2vYt74dC6akhmSopWRGEZLu4u/vH8gqDraV9zAqm0nufeK4fz1w0NcMScXi0bC4/WHRMOfC51W4lhFK+t2n2L+hHQGZkRy97KhnKhsY2hmJD6fjEmvRiUJ+HoYJ4oChJk03VK8RFHA5Vc4VNTAyZp2spKtDOwXiV4toBW7Qt8V5Xz5Dn3oQx/OQR8B9D2BIApUNXXyyCu7guTLmp0VWE1afnvr2H88kVAUokwabls8EL8Cw3Ki2X+ssdtil8/O4ciJ7ooEAKNORbhZ12OUO4DPL9PucHPoeCNThiVxsjqgJtl+pBavT+ba+XmUVrUxfURKcBIHsHhKJhv3VIYYMzvdPj7aWILb42PKsGTcXj+NrU76p0VQVN7Sbd8j8uJgX+8/V0FS4ZcVVJLAsJwYfvPKrm7LNLY5+XB9CROGJLJhT0DBNH1kCp9tLu0xqaiu2UF8pJFv9lcFzfEWj4klPkJLY4eHT3c2cKTag1qlZeOeEhAEnr2xd5WCafA0nJVH8TScQpeUi71wC45juwgbv4TouTfTumU5HXu+BBR0KXlETL8WT30Fnl7aujSxaXibzxAM9sJtRExehru2FE/dWR49gkjUnBvxywqbjgSu7YKJ/Xh2+cFu1RK3x89rnxeyaHIGL34S6LXPTYtgT1GgLUitEpkwOJGhOQHvoPQEC4/eMpbYcD0a8X+H/IGAWudso8ZzceBYAwlRxh6/CzNpMOrVNLY5eez1M35czs5ObpubxjTNYTo+WUWd045kCids5AUYB0zA39GEJr4fKmssEdOuomXjW/hsragj4s9sXJG7xdSGQBShq9lPHZkIkppfvV9CXUsnj94wEo3iorzFSHG9D3tFCy6Pn8p6O4+8ewxJFMhLj+CmC8N47M3dLJma1SNZfDbOrfwPzIii3d79fpszNo36lk7a7R4iLDqirHq2HKpl476AKm5nQS0zRqXw1c7u98OMkSnUNdkDBtDaf/21Fm7RYtKre5S2p8SaMWhVKIrCoIxIdhX2PPHol2gNEkQdDg9/X1HAXZcM5vule+hDH/5zUBSF2qZOxuTFfteH0g16jYRKEmjpi4L/ViELAn/98CCHzhpnOlw+3vyyCJ9fZvaI5BBlpEol8c3+qh7b/1WSQH1LZzdfSL8c8Kbscf8yIEog95yAKKq0qCxROMsLAi379eU9LqeNTcN2dCsxF95Ny6Z3A8cTFo1lxFy8zdW0bHgLQaNF8XqCKl2brOfVz4/ywNXDkSQRt8fPpr2VLJyUwaufF/IaAb8/t7cBWVYY2C+S6kY7FqOGOy8dylc7yvnD23vxywpZyVaWzczhzksH8+InR9BrVewrqqfg5Jmi4OCsWNxemW/OKqaMz49ny8HqHhN5v9xWxi+uH8UXW894ZM4dl8bjb+zt1nLmcPl496tjXDA+nZ0FtYzPT2BXQS3zxqV18x89jQmDE3nt84A3zxdby5g6PJkvtp5k/OCE4PZ1KpEFEzN6jHKfOiKZtbtOMXV4EmFhgZbu0+qwX/7tDEH41c4KjDoVv711HOEG9XlVP6IooCjKt2lH1Yc+/Ffg/HniffiPweNX+P2be7pNptrsbp5dfoh/pqtaURQEWUGlKPxoyWAWTuyHtiuRKcKi465LhzAyN4b5E9Ix6dUh66okgZ9dPeK8EcmBfcCpehsWo4b8rKjg53uK6rnvmS1cObc/KbGmEFVEblo4+441MHZQPDcuHMi18/PI64qEXbOzAr1OwqhT8daaIpZMy2TGqBQ0qsBPM9qq574rhhMRbsSfNaXX4xJyp7CxsI3MZGvIC/JcbD9Sw/DcmOC/B/aL5MCxhh6XleVAL3V5bQdXTU/h4dk68kpewbTqIbILXuTBSQpjMk1EWHTISmD51YfaME25OmQ72oQsYpf+HEPm8IDPz9TL8TRX4ejqL9cnZlH3wWM4Sw9wemLuOnWU2vcewTJ8Nkg9TGglFaa88SEpZLrkXFz15YRPvJSYRXcTNmoB4ZMvI27pg3hsbTi00TicXlSSAAp0unoeINU2O4iwBCq2eq2Kkf1j2XO0gbhIA7+8fjSyovDch4d47sNDrPi6lGirHlEUkBG+dzL//3OcZ1ThlxWyU8JDPhs1II6HbxjNlXP6c/HULHRqiTljAiquOSPiuG6MgfYty2nb8gGyMxDdLupNqMKiUYdFo45IQFRpcZYeQNAaSLzhj1gnXoKotwTVYO7qEvRpg3o9LmPuGDpLDyBqDUTOvBY8Tu6ZZmFsbgSHytp5b0s9h6q9iCqRUXlxRIfrgTMGlTcuGki7zc30ESkkRBuDf/+ekJMSTnntmbZDk15NRlIgCeTx2ydw5Zxcrp7Xn9/cPBadRuK9r4oZmRfLnZcO4YWuQebpS7x+zykyk6xcMj0r+Pwy6dVcOSeXeePS0GpVAaXO/8dPUCMGnn+nY2qD10qn4ieXD0MtBBIaR/SPxXjOsxMC7YALJvYLEssAh0804e7zAurD/zBaOty4vX4iv4cKIEEIpAm19EXBf6twuHwh5M/Z+PTrUpznPhMFKK5o7XF5AI+3++h3z9F6JgxJ7HH5zUVtGPIm9Lo9Q+ZwFI8bTXQy4ZMu7XEZyWhFl5JH+NiLaN+/jvAplxGz+D4i596K4vPRsuFNQAkEenSRP7qsUew66WB8fgKb9lXR4fCiU4ssnJTB0JxofnzJYKKsOpxuH2pJZPaYVBZOyuDdNcXcfOEg/rr8INuPnIlSL6ls47HXd+P2yFw5O5f+aeEhY1u9VkVDayfyOaETI/Pi2Hqwd+XxoeNN5KYGxt8Wo4YOu6fXIs6JqraAMl+BiDAt910xnKE5MeRnRnVbdtLQRNpsLtrOKu5sO1yDIAoMzowOkn6KLHPBuFSunZ8X9AUz6tUsnprJgH6RfL6llKfeOxAsynpkhSff2tuNIHS4fDz51j566yiTBYFOn0xBRSvlDQ48SqDQ3oc+9CGAPgXQ9wCCAA2tzl4n5MdOteKTZQQE2h0e/LJCuFmLVhJQeiFsRFlm8aR+XDAuDZ9fQa0S0EoBT4ownYo/3TWJwycaKTzZQkqcmTED4jCoRbwyxEYYeqweqCSBcLMWh9PLcx8d4sZFA1kyJYtvDlQhiQLDcmMorWonMdqIXqvC6fah00h4fTK/unEMOw7XsHJzKSqVyMTBiSyalMHTHxzA4fRx46KBPLv8II+/sYdx+QncfdkwREEgMdpIuFFDp8fPSWcY6f1G4D25N/S4olPpiB7M0bJCBvaLPG81wOdXOJej6G1xW6cHl8fPhEFxjNeX4F79RvA7b0strH+ezNFLcIWNDH7+xa5aVOMSuOz6P9J55OtASlJCBvWf/jkkCtSQPZLo+bdjO7gR16mjQf+Ws6G4HHSWHiD24vtpWf8G3uZAlUcdmUjUnJto3fpRsMqlTcxBMlho/OwZIqZcjjouAwwWZL8Xv6TFnzkZn8bEXZcO4cm39uL7By55iqKQnmDhjqVDeOGjQwgC3HpRPk+9uz/kBb9hbyX7ihv4yeXD+HhTCZfNzCE6TPetRb9+n6FWiYwaEMfOXqTogzKiKDjZxLQRyWzcW8nU4clkJIbx2OtniF5BgHnj0rl6Xn+mZapQ+9poLjgjd9fEpBI++TIav3gu5DeiS8kjbNQC6j/5E3GXPkTHwXVETLuKjr2r6Sw9gKuyCPOwWdj2rw05JskcgWXEPFyVR4kddD+IahpWPIXf1syF835CoVeFrChoVCKD+kXx9poiHr5+ND5ZobHVybZD1dz79Gb8ssLQ7BjMBjUFJ5u5am7/YLLeaRh1Km6+cBC/fS2gxstKtvKjiwdz6HgDowfGYdKrmT0qGQFweWUiR6Uwe3QqWw5W8+Rbe+l0+Th4vJExAwMSd0WB5z46xNCcaG6+cBAatUSUVceX28q4e03Av8igU/GnOydhDfvX/paKrJAUaeDZe6ews6CWijob/dMiGJwVhU46K4FEEnjstnE8u/wQJ6ragABJffnsXLYdqqbdHtoOKCsK/1+MVB/68F+AqsYAiR1j1X/HR9IzLAYNjW29R3T34V+DIAjB1Lee4HT7cLp9aHRnph4CAQPfnpSVPr+CUa9m5sgUwi06mtqdbD9cw+6jdTx8/WgOHm8IiU8HkCU1+tGLcVccxm8LVZObh83GcWwn7TtXAmCdtIzohXfRsvEN/PY2ALRJOURMuZzm9W/gOhVQs5gHTMBna0YTkYA6MgHz8NnYD20K+C2KKowDJ9GQNpvt66tYOiOHx17fzedby3jo2lH84e29XDozB41K5PJZueh1Kkx6NVUNNp54cw8J0SYaWjt7/B36ZYX31x1jZP9YVFJom7IkCjjdPiRRRBDOFEpEUcB7HiNuj8+PShV4J+k1EirV+XUAiqIwa0wq6TFmvN6AIfftFw+mtsnB1kM1CAIMz42lqsHWbQzQ6Qok8+rUYkixTJQVRuTGEm7WoZq9tsUAAQAASURBVFVLeP1+jpW3oFaJ3H/VSHx+GbvTg1YlYnf5uOfyoeg0auqa7Lz46ZFggbm22YHD5cOiC702sijw/rrjrN9TGfxMq5H42VUjSI819Tpv6kMf/pfQRwB9LyDg7IX8ARgzMI6qBgd/fm9/0HBXoxK5bv4ARvWP6TbZliQBtx8cdg8KAXZdIwlBBl6WFdTAuAFxzBmbTkeHE7fbhywraCSRO5cO4eG/7+jmtXHdggG43D4GZ0UTbdWRmWQlzKBGEqHN5ubZ5QfpdPkYMzCOGaNS+HzLSfx+mYRoI798cUcIcbB8w/H/x955x7dRn3/8fXfakuW9944d24mz9yKDkBACIYS9N4VSVqGLUgotLbSUttCWvfcKJBBG9h52hmNn2I73npK1pbvfH3KUKLYpv0LbUPz+I69Ypzud7k73fe75Ps/nQ0ZiKDeeW4RKJbK7opXH75jFZztqqWu1+lvJxiejV4l4PP5BLjwmGl36VYSOXYBt72fg82AonI0zNJ2XPm9gcmE8CyamotVIfDCEo8+o7Cga+4NS8Ld5ZSeHcbS+J/iMCBAbYeTRV3fzt1tG0/3Km4Nuz77rQzLPmxj02sptTRSPTKFanMzZI800PX3HAAtQ+5FdqCMTMeRNwl6+haGw7vuSsElLMY9dEBD+9Vo78Xm9SKZw9JljMOaMR5AkOj75OygyXeteQRUajXL2L+j1qIky6ejocSLb7MRFGvjtD6bj8niH7MM2GzUkRBs5Y1wKPRYXEwvjMeg17KvsCDqHx+npc7H3aDsKcO+TW/jRRcWMyohA/h9vBxNkmcvOzONAVecAMcppoxKobbbw2meHufTMPO65dCxmk5af/W1r0PsUBbYdaOY3N0/Fu38lvphEOMmLLWza+bR/9GdkZ3BQ7awrRxUagy4xB09XE67aMqx71hAy+gxil92NInuRQiIxZBTTV7YR2WlDypxAWM5oZJcdXUI2jup9WEo/C1QaeTe/TPGy+7HYQslPj6Db4uKSM/OwOb0oir+9ctPexkDCtKKmi9njkti8rwmTXs1Pr5rAln1NdFmdZCeFUZgZhUYjcu8V4+mze4gw6xAESIkz02VxUlbVSVK0kcToEPocbkRRQK9VsXFvYyAZXnqkjbOnZ7DtQDNt3f4AufRwO6WH2xmRFs78iams3dMQOC52p5cPN1Zx3dKhK6CGQpEVtCKcMSYRURSR+928Tk4oy7JCqE7Fjy8bi9Ptw+uTqW6y8PHmaqoag23uU+JC0Kmlb9UKeZhhvkvUt/WhVUuEGAZWzZ0OhJqGE0DfJoqiEPoVgtqCAFqNCkklIggCPq8Pj8fHrDFJvLeuckDMOaUoHoNWhcfnY/ehVuIjjdx16Vg2lTbyxFul/PK6yRyt62bTviZ0GhULp6Rhd3hQNAaiz/4BrqZKnDVliHoTxrwpuNtr6dn0dmD7PRvfIGT8ImLO+RE+hwVVaAz2yt20vvdYkJaj4vNg3fsFnvZ6EESM+VOIv+zX+AQRu0diR7UNekWWzswKiFV7vDIfbznGnHEpPPfRQcbnxzJ7bLLfKVVWyE2NRO6faKs4NlD24DgHq7s4Y3zKgInNPoeHqDA92w40MS4vll3lfomFipouinP9uoKDMW1UIs2dfaTGmhmdG41aCk4gnUxshAFZUciINePx+JAFgY+3HGPlpmpCDGouX5hHR6+DP71ZOsARFmBKYQJxUQZQGPAZPVYXf+x3JSvMjOKsKWk89d7+QHJHJQncdF4RybEhrNleR32rlbhIAz+5cgJf7qoLGNF4fDJwIgEkSSI7yluDkj/glzd46Pmd/PnOWeik4UmZYYYZTgCdBiiKQmLM4MLNKklg4eQ0Hng2WITY7ZX5+wcHSI6dTFKk4cQyUaCu3c7jb5aSFm9m9rhkNJJIbKQBs16NclKp5/GEkO+U1+Ij9Dz+o5l8uKmaI/028OfNyiI6VIdaEshLDUfsH7zVapEl0zN56IWdgYe2nQdbuP/aSVhtbtweH59uqx00cVDd2IvHK2NzuAkxajDrVFwwOxOfDJIg+O1EFQWPIvDkO/vYe9SvaRQdpufiectJjjHx4NtlmE3HuOKsPNaXNKDTSrR12SnOiab0SLAGkkYlcsWifDRqibT4UIw6FRFmHfnpkdz35OagZEiIQUNvnwubw4vHZvGX+g6G7EXt7vW3QPWfg7OnZ7L1QDMVNV2cEV43IPlzHOveL4g550c49UOLX0v6ELy9bfRsfS/o9Ygzb8Q4ej6Ogxvo2fo+3t7gwd7b206UXqDTqfD4G6UYdGo0Komzpqbx6Ct7OGdGJsvPyOH1fmHek7lkwQhsdg8vf1qBxyvz2G0zCDVq+HTb0Bbz+460M3ZELPuPdvCPD8r4w23TUf+Pj7GKAkaNyGO3TeeLnXXsqmjFZNAwa0wSHq/MMx8eQFH81rS3XziaTXv9FVwalciKuTnkpEbgcnuJCTdQVtVJkaUNMSkzsH3JGIrscgxI/hzHVr6F6HN+iKPmAPqMYlzNVVh2rcKya1XgPaLORMS8qxBiMvlor4WZhw/gWvv3QbfntbSD286EvFgaO2w8s7KM9v6ki9mo4dpzCvjTnbN4d20l1U29xEcayUgIJcyk5dPttawraWB8fiyJUSYO13XT2G4jPtJAcW4M4WYtOw628P76Slz9Jf0ZiaH8YPkofvfKLqoa/cF2bISBa84eyQcbqyg/1oWiwJ/f2sst54/icF03u8pbUKskZo1JwmRQ89d39g34HrsqWrlo/ghkxS8u6u0Xndd+hZh+0HHwysDQFXKyrCABRrWIovGLXp6a/BFFgRvPLUItgu9fc0UeZpjvPA3tfhH407U1OMyo5XBdj799/jTdx+8akWYtEWZdUGudVi2Rnx5BXnoEvX0unl17lBCjhoWTUok06zCoBX529UQefXVPYDIlLy2caaMSuefPmwKTDtWNvWw90MRtFxSzdFYW2/Y3ER9l4ubzith1qJWjdd0kRpuoqm0neuvfEfUmtPHZhBTOoOXNh5GdfQP217prNYa0Qtre/yOxy+4KShABgRZ8T3t/QkGRsR3cjOzoo3v8ddS2Oahtd1FW3URDW/D29x5pZ9aFSXy02S+sHBdpJCPBzMa9jayY63fF3XqgOSBIPhhmo4bOXichBs2A47p1fxNmo5qFk9OwO70crO5k7a467r5sHGXVnQO0kwoyI6lvs1JW2cGiaek8+Mx25oxPYfHUdD7afCzovYIA155TQEZCKDaHG6NeTcmhtsDkam+fm+c+LufuS8YiKwMnXIuyoujocdDe4+DLnXXctmI02n49HoDIUF1An+e82Vk8/MLOIIOaMbkxpMab6ex1MqUwnvakMD7eUs29f93MLeePoqPHQXlN14Dkssun8O66owyGT1bYUd7CGcWJ/eP8MMN8fxlOAJ0m6FQi8yem8tmO4IfssSNi2VneOmRb0xufH+GOC0cH/ra7ffzyGb9lss3h4al39mFzehFFgWlFCVy2cAQq/okgmqxgVItcOi8Hj88/848soyhKwJLRh98Fac+RDj7aVM2y2dmEhWhxe3ykxIVg1Ki47MwRuL0yP/v71iE/antZM/MnpbBsVjayT0buH6+OzyX4EPjdK7upbDjxgNXe4+BPb5cxf2IqWcnhrNtTz5b9TUwblcBf39lPc4eN2y4YTWFWFGt312O1uxmVFe23q3e6eX99FSWHW/ntLdN44JntxEUaePSHM/B4ZNQqEVlRUIkCnv6HRbvnqx8azWYDj141AkmSQGuktsPNR5uPMa0oAW/3riHXkx19CKJE2NTzMRVMB1mmr2Ir9iO7An3lpqJZ9O74aMC66pAw3K1VqMJiBiR/ALTxmfgENc3tFhZPy2Df0XZGZkSyavMxem1uXvqkghVzc/jhimJWbz1Ga5edtHgzZ01NZ3dFKwePdTK5IJ71JQ2s2VHLnLFJAee3wfALG/pPns3hwerwEHGazvp+m8iygkaAs6emsWBiCpLoL1l++ZMKTP0B2/IzsslPC2d9SSPTRyVwycI8XltziNc+O4xPVjDoVFy5KB9txhh/pU5IBD5rF6I+BF/f0DODxxOL3u5mwqach3Xv535b95MRBNShUTS/cA+zLngIX9dXt2IYDDrsMti7u7jnnBR8isi68h7Wlrbyh9dKePimqVw4Nxu720dNUy9/eXsvt104mj+9UUpvnzugPTB2RAwXzstBFAW8Pplui4sPN1YFrhHwB/O/fm4n155TwO9e9rd1tnbZefTVPfzkqgk88Mx2FMXv0vPgczsozIzk3svHo1YJfLT5GP/4YPAqP71WhdPt5S/v7OVApV8zIcKs47pzCshJMiN8iwU5gqJwwZwsCjIieW99Jd1WJ3lpEayYm0OYXv29EkUfZphTqW/tIy7S8N/ejSEJNWlwun3YnN4BuojD/GtoJYH7r5nI/c9sp8fq4vw52eSkhLPvaBvdFicdvU7G5cXy/EcHWb+ngWWzszh7ahotHX3ccr5fNN/jlUmLN/Ozv28d0KKvKPDMhwe49YLRvP6539I8MdrEL6+fxIaSBg7VdpOfEoImZST2/WvxdreijUsbNPnTv0UUnwdD1lgcNQcGLA0dv4i+g5tAENHEpIAgIjv6MBbOIixMJkoj0dEu0z2IlpRBpyI13szPr56IKAq0dtlo63aQGG3ity/uISUuhEVT04kK1Q1qbgCwYFIqm0obsdrd/GD5KJ54c29gQvXznXXcvKwIn09h1pgkls/JDrRw/+bmqazcVM3ew+0YdCpmj0smPsrIE2+U4vbKuL0yi6dn0tBm5fzZ2WQkhfHRpmo6ehxkJ4dx0fxcOnocbDvQRGSYntgIA/WtVtSqEwLSNoeHV9cc4qdXTmDt7jr2HunAoFMxZ1wycZFGalssHKnrobymi18/v5P7r54YqNXRqgSWzsjkUG0XB6s7g5I/+ekRLJ2Vxbo99eSlRaKSRMJCtPxg+Sje+PwIz64s40cXjWF0TjRalRg0sQ3Q2Tu0rldTu21IzcJhhvk+MZwAOk0QFIULzsgiI8HM22uP0tnrJC3ezIp5ObxwSl/tyTR32vDKoBYE1BqR+k479187CZ+s8OS7+wItY7KssHFvI23dDu66uBiRf/5gIvtkJEAZ5CFGkkQq6nt4/A1/uetf39mHKIBaLRFm0vLg9ZNR4dfbOVVY9WTUKpERqeH43L5BtXgsDk9Q8udk1u6u574rxrNuTz2fbq9ldHY09f0OZi+uLmfFvFxuv7AYWVY4VNuF3elhy74mFkxK5cJ5OTS09REWouXC+f6Kl4PHOlm15RhWm5tZY5I5d3YmT94zByN2+sLj8XYPdHySjGFIzl6k93+HZIogatFNxIbByOI2dHF6RHKwDjQkAyB81iV4rZ10r/or3t52BI2OkMJZxJx7B+0f/glj/hSQZbzdwb3xutSRSCERKM1VCCoNutSCU2y/BYSJF2GVNew51BZwXxuTG8vO8hPbevOLI8SE65kzLpnwEB1mk4a1u+rYWd5KdnIYhf1Cf62dNnYebGFGceKQAtszihN5d90JVwfpezab6vP6fyvIMiFakZvOLcTjkxFFAY0oIEkiK87IJtys5/E3SjhUc0L00u708o8PDjDtzrFY1vydqIU30P7hn/BaOlBHDC50CSAazCgeF8a8KXR89hzRS27Dum+tX1xc8Ys9h05cjKvxKHHn342rtxZ7RDqCpB60Kk2XWkizRSbMW0l2+Ut4OupBUnFu7lQWXr2Yn79yiHfXHeXaJQVU1vcEnECe/6icG84tQqOW6LE6SU8w4/Up/PWdfRyt70EUYGxeLD++fBxPvbs/SF+sy+LE5vAQGaoLBG1ur8y+o+1MKUrgUE0XXRYnKkngsoV5CAJ4vQqzxyaxbnfDoJWFi6el848PDgSSP8c/55GXd/Or6yeTEmX4Sp2w/y+iojAqI4K81PEoKKhEEUGRh+3fh/le4/H6aOm2U5QZ+d/elSEJNfrblTp6HcMJoG8Jn08hzKDikVum4nD5+HxnHQ+/sDOw/JNttRRkRHLbimIefXUP766rZM64ZN5eW0mXxUlcpIFFU9JwuA1BZiInY3N6gyq2Gtv7+HhjNXMnpnDvXzaTFl+AecISHOWbkV12JFP4oNsBEFQaRJWWsOnL8XQ1o67ei6erGVVYLOHTluOz9SC7HcRdcB/OpiNIxnC0cel0fv4irsZDIIjMzRzDWTdcyE9erQo4QQIsmJjKR5uqGJUdzZ/f2usXXba5URR/8vFofQ+PvLSLx380k+vOKeDpD8uC9m1MbjRRYXoO1/njhVVbjvHIrdM41thLS5ed+EgjXRYnCgp9Dg+yopAaF8L9/9iGosDDt0xlRH+l8eZ9TUFSB7srWrn8rDzsTi86rURxZiSF6RHI/Tb0ff3j8qotxzhQ1YlKEpk6KoGfXjmBR1/dE3DMPFrfw0PP7+T6pQVMHBlPW7edzfua0Kglzp+ThUGn5szJqfRYXdhcXkJ1kt/qHlg0JZXi3Oig5JdKErhwXi7dFieiKPLXd/bhcHmJCtOxdEYW1y4p4K4nNmHQqZhWGB9I/kiSEBCEzkgIHVCVe5zCzMigrodhhvm+MpwAOo0QZYXJ+bGMye13qRJAqxbJSgpj/9HBXRVSYs10WZ3otSrKKjp5b51/EM1IDOWKRfnsO9Ie6JUFOFTbhcXuIUz/zU69y6fw4qqKoNdkxd9n29plp7G9j/RYE3pJZOaYJN764sig25k/KZWaZitdFn/Cy6RVBTSNBEGgo3vo/nyvT8agU/Pzqyey9UBTQHBy+uhEphYl8P6GSp6q6ybUpGXehBQiQ/VEmHU8+uoeevtcXLloJFctzqeyoYemdhsfba5Gr1XxwPWT0WtVvPXFUbaXNRMXYeDB5bdiee/XKK4TD6+CSuMXY974JqLWQPTiW+j49B94e/wJlz4g5tw7kcxR+CzB50+XnIekN9H+0Z8DryluJ5Y9n+Lpaib+iocQ1BqcNWWozNF4Le0Iai2mghkYMotpfulnGHImoE8rJHz2pbibjqLIPlxttfjSJvJ2qRNRXYXun1hit3U7eKN/Fu2cGZmBQT09wczI9EiO1nWzeFoGLo8Xg1bN5KJ4tu0PToRNHBmHohB4sI8M1fU7JX0/H4AVBVBkdCoRj6zgVhR6u52oVRKN7X1ByZ/j/PTCEVi3vU/41POwVZUQvfgHePu6EPUmNDGpuNsGzg6GTliMx9KBKEq4mytpffsRjPlTiTn7VtTRKVh2r6b5lftRPP4kSdjU89HGjcB0zo/ofP/RQJUZgGQKwzTvOnS9HfS8+zCBc+fz4irfgKqlkjuW3sKTq2vZVdFKS5edixfk8tqaw9S3Wvndy7sx6tUkRhm5cVkRP33qREulrPhdWyrre7j5/FE89PzOoO/R2N5HVJg+kACaVBDPuLw4LH0uxuTGkJEYikmvZu3uelZtOUaf3U1+RiR3XjKWDzdWsbs/wQn+4C4/LZK/vTdwJhfghVXl/OTycd+6/aWvP1nu/8Ly9/TKH2aYEzS021AUf8v26UqYyd9609HjJC3O/F/em/8dfD5/ZWy328uqLccGLC+r7mR0TnRAf7Gzv3pmxdwcJhfFU99q/X9VT2pUIutKGpgzPplfXjeZHQebqY2KIfaCX+LY8BLu1hp0aYU4B6nwMY9bCCo1rqZKvN0tmMeeiRQSgTosDlFnwla5G1Gjp+XNhxBUGmLP/zHNL//ixCSKIuOo3I2r6QgPXfoAVz3unxTNSDRTlB3N46+XcNaUdH64opiePhcjUsOxu7xUN/YSFaonKdbE+j0N2J0e7r92EseaevH6ZLKTw6hrsfLkSW3Oc8YlY9RJ6LUqPt9RR0ePA5fHx72Xjw8IMM8ck8SUokTW7amno9vJ394b3LIdoK3bTlJMCFrBP+ErqiS6LU6a22309LlIiQvhysUj+WhTFetLGtlQ0sCxxl6uPacgMPkL4PL4UKv8hi89fW6Wzc5Gp5XosbrYUNJAbYvF3wo6O5txI2Lo7nMFxv34SANjR8SweZ+/enhCfhx9djcbShvZeZIweEePk2dWlnHl4nxWzMtGJYmBZwVFEKhstvLS6gpcHh+XL8zjd6/sGfB9w0K0jEiNGK7MHWYYhhNApx0+n4woCByo7uT9DVX0OTzcc+k4PtpUHVQieZwzJ6dyoLKT2hZL4AYKUNXQy6Ov7OGW80dxrMkScKwBaGjrIyJ96BmRr7WfsvyVbg8Vtd1kxvsrAc4Yl8yOfmedk5lSFE9Tu41/fHBiUJ44Mo7rzilA7G85CzcPbR8rigJ9DjePvLSbm5YVEhtuJCnGxPj8WB55eVegza3H6uLtL49S1dDDyIwoeqwuCjOjEAToc3hJijFht1i4am4KySlxiKLIg8/tCDj61Lf18eAHTfxwyS8Jt1TiaTqCKiYNfUImXetexd1WS+ikc+jd8WEg+XOczi+eJ+bsW+ne+l4g+JCMoUTMuZyWt38z6PdyHNtH2LTzsZSsQfF4iL3gx3i6WkD2YTu0ndb3HvP/v3wzxpzxOOsrsOz8GEGU0BfMwq6LYueRQ4SHaJlclBDYbll1B2NHxAYqgk6lIDOST7YeQxQFphQm8MaXh7lhaRFPvOm35CzKjubCublcMCebz3bUoaBQlBVNW7c9cA5VksgdF49BI8I/MRr7n0YWRfZVdqDXqpAkkY2lDeSkhA+qM5GbEkaC/QjOg+toPbINU+EMFEVGFRaLz2El5tw76Fr7MvbKElBkRJ2R0MlLMWSPx1FV2m9JC4rXTd/+dYh6E67mSqylnwd9Ts+Wd4hILabDkE7c1X+g79B2lN4WtFnjUMWk09XrRNr0MoMl7nxdjcSK3WQlh9JtdbJ6yzHuvGQMoSZN4Hdic3jISArjnbVHBxUX77a6qGuxkpkYPDsXE2Fg2wF/UnHuhBRSYkO4/x9bA9sQBH9VT3iILjAjXFbVSfmxbTx80xSyksPo7nUwfXQi8VFG3jupEu1Uqht7/TOcX3XyhhlmmG9MfVsfgnB6J4B0GgmNWhwWgv43IKkkPtlaM+Ty9SUNnDE+haP1PbR12rlqcT5hIVp+8uQW7E4vd10yNlAxc5zocD1TCuMxGTSEmjRcffZIEqNN2BwezCYNapXE71/ezTXnFHLfU9vIT4/g7gvuoKOti+S8afRsfgt7+WaQfQhqHebxCzFkjEbxuHA1HKKv34EzZPQZuI1h6NJHoY1JpfmzZwEw5k/Fun/toBW0st2C1FDKFQvzCDPryEg04/HI3HP5OB55aTc9fS5+fPk4/vTmXmqa/Zp3t5w/ij+9sTcQn3+6vZa0eDNatURxTgzJMSHcfP4oQk1aREHA7fFyuLYXo17NpQtHoNOoOFTThU4jcuvSHBLCNXRY3CQmxXCwugON+qtHOlEQePy1En508RhkGVparEE6TOAXaL5+aQHVTRbqWqzU9VfZh4VoA1btIQY1uSlhSJLImu011LVYGJUdzXMfHQxsp63bwd/e28+CialIksDq/msjwqzj/msnkRZvpqbZQnJMCCFGTVDy52Te/vIov7hmImH9ukkqtcjOQ+385e0TibK9Rzu4eVkRb3x+JKCZlJ8ewbXnFKBTi3g9w8J8wwwznAA6zZAFgRdWVwQlc1799BB3XjyGZ1ceDAQqIQY1l56Zx66KVqYUxvPqmkODbu+Nzw9z8YIR/PmtvYHXIsza/vaEf71NRxQEjDpVoMXsVOIjDHhkhfc3VrGhpIEbzi3CYnezp6IVjVpi/sQUmjpsPLsyuOR1x8EWUuPNLJqYgs8nE2bUkBBlDCqrPc6Uwnj2HGrD65P5y9v7ePKeOZw7M4s3Pz8yqMZRyeF2Fk5JR6MSWTA5lZdWlfObqwpRdRwluu1TFJ8bXchU5NRxqE+xxqxqtHDb38u4aVkRcng207JCaH3xzoBAry55RMBa9GR81i5a33uM2OX3Io9fhOLzIqjUyF53kMvEqbg7G9Gnj0LU6OnZ/B62Q4PrKPXsWEnk3CvotvrbXaxb3kIduYV7z7+Vd7Z3YD0peFq7u54fXz6e8pquAa5VM4sTqWrowWTQcOXifD7ecoxDx7p58/PD5KdHsmrLMTaUNLDzYAu/u3Ual8zLBgR6HR6O1HZRmBVFVlIoc8Ymo1eL32qLzXcN/2+4nIpjXVx7TgFdFidGnZqyqk6mjx7Y0nX2uCi8e/0uc4rHibXks4B9u6gzEnvBfYSMmY953EIUnxdJHwKiRM/2DwiftBRBUmE/uhtRZyRkzAI8bbV0fv7coPvm2LuGA2Fnss3pIyt5GvmFGtwt1Tg++xtRE8+mtWXgbO1xxOZyFk05m8de88+sbShpZHJBPJ+eVL6dnmDm1U8HvxcBHKrpIi3BHEgAGXUqIs06WrvsaNUSkwri+PVzwRVCigIfbTrGrReMJjbCEKg0k2WF5z8q58eXjUUjCXg8MpLgF5IeioivSCgPM8ww3x51rVYizboBY+nphCAIhJu0tH5FpfEw/xqyrAQqigfD7vSi1fjrJpNiTISGaLn9jxsCwsUfba7mikX5/OXtvQjA1WcXoNNKrC9pwObw4Hb7GJ0bw9/e2x9o/R+ZEclPrprIX9/Zi09WuHJxPn9fVUlFTTc3n19ExrjziCuej+LqQxBFBLUOUW/CUbkXn92CccRkjCMm4elqpnvjm8SlFmDZ+2Vgn7UxqfQMosl4HGf1XnKKi3ns7QqSYkxcMDeHZ1eW0dxpY9nsLD7cUBVI/oSaNGjUUtDkrKLAsSb/8hdXlZOXHsHbXx5FFOD82VnMHJvMb1/aHfi+Rp2Kh68cSby+F4+rkb6SDYS5Heg843n8uunU2dTkp0dQPojLWH56BFUNvRyq66ah3UpUqIHfvbx7gJvXgaoOPtpczeUL8/h1f/XukfoekmJM9FhdJMeGcNclY9Cp/MIS6QmhjEiLGLLy6LOdtfzimkmBBFCXxcmvn9vBL6+bxK+f24nb6ws4fg6GzeFBEgU0koACdPV5eP7jYJmMz3bUcqwpjMsW5pEca6Lb6uJofQ+/e2k3D1w36X/eoGSYYb4Owwmg0wyL3ROU/AH/DbjX5uKaJSOJjTDgkxV6rC7eW19Je7eD1LihXaQ6e50YdCdOc5hJS3SY/hs7E+vUIounZ/Dm5wNbuzQqkaLsKLaXtfBxv7PAo6/uITHaxMiMCMLNOmwOD09/UDZgXYBVm6uZOy4ZWfHrCPz0qok88tKuwMwDQHFONDPHJAXEYxXFbxldkBFs834q1Y29xEcZUYkiV52RhHfD0/QdOzFz4G45hmT+lF+s+DG3P102IJHx2Y5ainNi6O5VozKYAwkg5SusfmRnH56Oero3v43P6h+IY8//Mf4E3OAnQmUIxVFXAT43PsfQiSLZbgFBRAqJxNefBPJ0NhJuq2bZnLE88tIJEWq708uzH5Zxz2Xj2HekndIjbZj0GpbMyCAx2oTT7SU1zsw7a48GHtB3Hmzhl9dNDpRxO1xeXv30ENefUwA+H3pJ4LwZmciKgij4HZSU73HyB/p/w3ubmDAyjh6ri4PHOhEQ0GkkFJSgmTOA9DgjPvvg/epRZ91I56dPD2gB08SkEr3kNjo+ewbZaUcbl4HsceLpbKBn+wdD75yjh+RsA8+sOoJWcZFYvQPPAX+lUEjRbAStIajN8WTUoZEca+6lu3/fLTY3Kafce9SSSKhJO6R2g9mkCbgFRobquOuSsTzTr3swPj+WLfsG6mwd57PttQPaSQ/XdeP2yH5Vevz6QOPz43hxdcUAS2GA82ZlolUJ+Lzf72t0mGH+3dS1Wk/r6p/jhIVog3TJhvl2EIBpoxKGtCMflR3F0bpuinNjiAnXc7CmK8i16nBtN9Fhen5+9URsDg87y1vYtPdEbHysycIn22q494rxPPT8ThwuvwtWR6+Dg9Vd6LUq9Fo1PhkWTUsny+zG+ub9WB3BlejG3EnoM4pQmaNQPC46Pn26XzBaQNQa8Nl6Au+VXXYkozkQa52KaDATG2nihnMLqWroRa9VBRI6eekRvLuuktyUcMLNWkJNWiqODb4d8LfJLZqW7v9cBWIijfz6uZ1Blff3XZBNpK2K3tKd2I/uDrzubj2GVLqG6PPu59YLRvOn10s5VHei9TwnJZzlZ+Tw6Cv+dfRaFbXNlkGt3ME/2XPWlPTA3wlRRhZOTkX2+U0s1MIJN+GlMzNoaLcNmfw7buxw8gRye4+DPoeHX103CafXR7dloLbfyei1KhRZweLy0dxpGzChCX5toj+9WcptK0bz9Adlge9mc3q/sQTGMMP8LzD8KziNUKnEgNX5qdS1WPntS7t56p7ZiILAA89sx2r3YDZqvtKdCU6IMIeZtNx/7US0kvCNKzR8Xpl541OoabKw46RSTb1Wxc+umoDPp/D22mArxsb2Phrb+8hPj/hKETab00uvzc0vn96GT1a4Zflobr+wGIfbS5/DQ0y4gY4eB79/eXdQW5xBq6a3z4UoMKigNPhdGVweHzqtRIxsxXlS8ifw3SwdaCvXMzEvj20Hg4MXg1aN2+OjssNH8djFeD5/GvA7Mol6E7Jj8OSTJj4L2eEfuDUxqQhqLfrssThOGrSPI2j0fv2nmGSs+9aizyg+ReT5BNqkXFxNVeiSR2Ar3xJ4XazaSuqIyQPOc12rlSfeLOW3N09l2ugEdpW38uzKg5j0ahJjjMwqTkI+KTsoK/7r8txZWby/3t9as7O8lSsX5aP0u034fP52ve9xx1cAtVpib79GktvjQ60SCDFoWL+ngdsvLOblTyr44Ypi/vRGKTqtxNVnF2A2giNpBI7qvQDoM0ZjKpiBqDchagyI+oEJXndbLc76CmSnHXdLNe6WagBElQZd0ghsFYNXjKnTx9Bu9WIyqJmUocPz7ok2MVvFVkIKZ2LZ/cnAFQURObGI5/5yYlYvPy2CY00nEldJMSaSYkOYOz55wIzccc6ako7D5WHBpFS6LE4272vkogW5ON0+YsMMvLymYtD1wB80mg3BdrlqlcipXXUGrcTPr5nIb17cFfRAMWtMEpMK4vEN278OM8y/FVlRqG+zMWlk7H97V/4pESFaygfRZRvmm+HzyYxMjwyq2jyOXqti7oQUmtpsFOdGoRKgrWtg1cfmfU3sr+zgrkvGBiV/jtPn8LBqyzEunJcTGHMsfW60GolHrh9DhK+Dq+IOYohIwrX7APIpyR9Rb0IVHos2IRvJGI6rpRpB5Y+nQ0bNwVF3EF3yiED81Ve+BfPYBXQOUSlrGjWH37xfwcHqTmaNSUavVaGSRLw+Ga1a4pfXTqK8pou2LjsFGZGDVrYfR6eR8PbHyRqViEmvCUr+pMWbiXLWIYXog5I/geNv60Xe+zGb1TO4cVkRXRYnfXYPJoOaulYrj76yG5vTi04jIQkiHb1DV924PL5ALCkKfnFqnSj4nyAVJSjeFmWFyH9SaRsTrictPpSDJyXALH0uYsP9sW9MhH5A+99xirKi0KlFRFHgoy+PMqkg/is/S6dRBY4j+EWmhxlmmOEE0GmFooBWLQ25XBT8JcsqSSArKZzSI21YbG5CTVq0ainIYvk4BZmRmI0afn3DZKLDDGglvrX2HFGWuW7JSC5ekEtts4UQo4aESCMaScDpVYKqHE6mucPG2dMyhtxufKSRow092Jxe7rtiPO+uq+RIXTeC4K8wcHtlFk1NZ8mMTN45KckUF2FgV0UrY/Ni2VU+UOdGEgUSo020dNrxeX2oqzcyVIGy9+gWpo+fOCABNHd8Mmt21JKVHIYvbhTa7Im4ju7Aum8toRPPoXv9qwO2pcsah8crE7vsLtydTYgaLZ1fvEjkGZfh7WzC03UisBHUWqIX30LPlncJm3wuzvoKIudfTe+ujwe0jAkqDSGFs+kr34KiKKjCYpHdDmS7BUGloa3Xye9unc7KjdV8sasOSRSYPjqB6cVJ2F0+7n5iI+fNzua6cwqoqOlCEgVCjBruvnQctc0Wjjb0UFLRitPlJSHaGOjRVqtEjjb08NirJRRmRXLtkkJC9RLy91xYT5QEbO4TgVJZVSeXLxxBTLiRT7bWUH6si0kF8Ty7sowblxUSG2HkgWe2c8tZqRRNWISjpoyoM6/F29NK52fPITv7EA1mzGMXYMydSGe/DsFx+g6sR58+KpD8Aeg7uJnY83+M/ciuAToFosGMmDqGnavruWBuLjRuCFpurywhdtnduJqrcTUePrFAENHNv4UX1zUFKgeNOhUL+p09xuTGkJEQSlOHjYee38HlZ+UzcWRcUGIY4PKz8jDpVYQb1cgIVDf2smVfM6u31jAyPYJLzhxBbkr4kIL3mUmhAaH348wZl4RWJSKfFOAJisKo7CieuGMWDW1W7A4vaQlmDBoJ4fssTDXMMP8h2rr94rSx34EKoPAQLb02N063F51mOCT+NtGI8KvrJ7NyYzVf7q7D45WZODKOixeMwKARSY404PXK+BTISQ4bdBspcSFBQv+nsuNgCxcvGMHLn1SgkkQqarp48MoijLWbad38BgDmc++g61CwHas6KpnIuZfTu/0jGrevBBS0SblEL74Fb18visdJ55pnibvwZ4gGM7LdgqezEUQJ44jJ2A5tC9pe6ORzcWoi2He0BoAvdtVhsbt4+OYpPL+yDJ+s8OvndwaSEZv2NvLzqycO+b1mjkkKGG4Y9Wq6rcHW5pNyQ9FaD+D4iiSSo2IzIxbMpfRIO7UtFrbua8J9ygTIkumZrNp6jLkTUobcToRZR5/DgygK3H3pWHSSyFe1Eeg1EhmJoVQP4sRl1Kvpc3hYOisTi90daGeLCjfw6fZafLJCcU409105nl89syOoKik2wsDNy4oQFQWfz69n2tTeF4hNT8WkV6MoSmCiODUuxD9hPuzQOcwwwwmg0wmfT2ZUdvSQy8flx+H1KehVIpecmcveo20oCqzcWM1Ny4r481t7g9oeIsw6bj6vCKPGr8miKMq3LswrKgohGomi9AgURUFRQJEVJFEgJlwf6OUVRQGTTo3N6aHb6iIh2jjozBDAeXOyWLX5GIWZUVQ19nCkv3RVUQgMXqu2HOO+K8aj00g43T5CDGoMejXHmiycMzOTmmYL7Sf1EYsC3LaimE+31QBQcriNlK/UQDqxTCX5qwwmFcThcHkZOyKW99dX8pe2Pn5zzYXETT4PR/U+VHGZRJ39A7o3vIHP0oGg0aMt8mu39LS2IO5+n5DiubSvfAKAtpVPEHnG5SCIuDsaUIfHIRnM9Gx9H1fTCSHb3j1riFt+L92b38FRVYo/UBlB2JRz6d7yLpFnXI7P3osnPgtRb0LSGbEqWh56qRRRELjnsnEUj4jG7fERF2nkb+/u44J5uVy5eCTVjRYe/HIHRr2aOy8ew9rd9azb04DT7aUoK4pbLhhNe5edMJOWm5YV8atntjOpMCHwcH+gspN7/7qZP/xwBtrTV+rhP4LDo3DnExu5+9JxgN+lzuNTKKvqYPkZ2bz95VEWTErlmiUFKIrC0x8coMfq4rN93eRNk0i8+ndYdq3Cuu+E5oBst9Cz6W3M4xZiKphJX9nJSZuB16/iddOz5V1ilt1N95b3cPfb1GozxuAbs5y6PjVnTkolOcaI0iIEJ0AVmbYPHydi9qWETlyMu7MJWWtGlzqSlbs72Vx2DEGA4pwYrlqcj14S0IfpCA2JoanNxsebq+ntc/PXd/Zx8fxczpudRcmhNiRJIDs5nM37mrjxkbXcsmwUxdlRnFGcyLSieEBAVhR++tRW7rtyAh9vPjagFF0UBRZMSgu0fAIkRptYNjs7KPlzHJUkoVcJZMSGIAj9Se/hoG+YYf4jHG/XjvkKPa7ThfAQf7VCW7eDlNih2+mH+f8jywpqYPnsTM6ZkQEoqEQBQVFQZAVvf7yqKApxkQYSo02DtvD/Mx0ph8vDz6+eiAJ09DhINnlp60/+DI5A5NzLafvg8UAbP4Cr4TCt7/yeuAt/RvPrvwIUXC1VxC67m56t7+Oo3kvnmmeJXHAdoZOWYK8sQRAEdKkFOKQQ7nv5cNCn7DzYyrkzs7j9orHc8aeNQZUoPllh64EmLj1zBK+copuXEhfCxJFxAcdMq91DZOhgydR/Us0iCOQkhxOfaGDGqAQSoox8uLEam8NDhFnH0pmZeH0yG0sbmVGcREpsSJDUwnEuWTACj8fHX++ajVb1FSX2/agE+NGFxfz0b1uDqnhUksjNy4oCbsXH9UlHZUdRcqgt4Ej79pdHueTMETx80xSaOmw0d9rISgwjKcaIALh9ClqNSG5KBCs3VXPr8tE89toerPYTEY1aJXL7RcUBmQqTXs0dF49B/c93f5hhvhcMJ4BOM/RqkcvPyuOl1cGtEGEhWhZNTefB53bwq+smEWHUcP81k3jqvf0cqOpAq5H41fWTOVzXTXOHjaKsKHKSw9FK/EcsD0+tKtKpBC5eMII3Pz/CDecVoddIWB1uokL1eLwyIXoN910xnhdXl7P3SDuK4m9Ru2JxPjVNFmqaLVx/biHvrTs6xCfCzvIWRudE0211cdG8XP7+/gEunp/LY6+VcN05BfTa3Byp6yYsREtRZhQRoVoiQzNJSwhFUWSMOXOxnzKLcxxjwUzS0hL5zc2xOFxeVJKIUa/m3XVHmT46MdDXfeffSwkxqBmXl4brmIuOXpEbzrwXvSTT1efFIuspW9fI+VNi0RXPo3vD6yeOmd1C+0d/QTSYUYfFoEsaQdsHf0RxO5BCIpD7tVj69q3FOGISuqQczKPPQFEU3G21dKz+OzFLb6d74xuB9iEAQaMjYuk9JEToOHCsh2c/KqM4J4a3vjjCHReP4UcXjaWu1UpmUhhGvZpDtV2smJvDS6srgmZR9h3t4GD1Zn5y5QT++HoJ0eEG7r1iPKIgsLuilYvm53KsycLO8hY+21nHOVPTBn0Y/19EEMCHgM3lpcfqIixES7fVhSQKbDvQFEj4dFtcNLbbGDsihp9dPYHSw+1s2d/EoinpJ4QZFRmVWofP1oN1/7pBP89S+jmx590ZlAAyFc7Cuu+LAe911pdDchENBVcQPk5BQWBTpZVDX7Rw87JYbE4PDW19jMgdh2NrcJCseFx0fvYs+txJ7I1ZQmlZD/Y9NSyelsHffpwOir8cXVDkwG9eK4m0dtu5+9JxvPJpBTsPtrDvaAc+nxwQaX/js8OBoOsv7+zjiTtmYdKI/QOQgiwKZCaFYnO6ufvSsby25nBAHDMhyshVZ48kKlTPOTMy6LY4GZcXS2qcGTVDqWj1f5/+pPQwwwzzn6O2xYrZqMHwT9rTTwciQrQAtA4ngP5tyD75xMOGrAx6z1YBv7hmIs+uLGNXRSuK4hdKnlaUQHpiKO8O4e44Y3QCeq2KJ97cS0NbH6NzoinoDk6oOI7tw5gzPlC1o0srwFFTFpT8OY7idWPdvw5j7iTcrcfQxKTS+tZvMRXNCsRf3t52vJoQNCPnIIjwzsYGVu2qGdQUpa3bQWuXnegw/QCtms921DF/YiqP/2gma3fXY3N6mFQQj8vt4w+vlQQmdL0+mY4eR1BVzbZDPcyamUSoSYf1JKHqkzHmT8Mr6BBRQFZYMCGF6aMTcbl9qCQBlUrk9y/7TR3+9EYJP796Eu+uO8qu8hZkBcxGDZcsGMGYnChE+nV+vkb2RJYVIkwaHr5pKiWH26hpthATric3NYL311dytL4HgFCjhjPGJTOpMJ5HT7Ftf23NIfLTI8hIMBMbYUAAevrcvPnFYY7U9VCYGcXyM3Koburh2Y8OctuKYpra+6htsRITrmf66ETqWy2kxZtZODmNkekR34r8xTDD/K9w+o/O3zMERWFKYTyJ0Sa2HWjGanczIi2C9AQzT727j9YuOx29TuLDdKTHmnjw+sk43F4kUUCnlkiNMQL+G7XP9+1X/HxdvF6ZosxIUmLH8psXdwXZrE4tSuDC+Tl8tqOWy8/KZ8VcL312Dwr9Gj0uL6LgLyN1DOEyBuBwerl2SQFr99TzeL9VeU+fiwvn5fDku/sw6tUkx4bg9vhwp8o8+e5+osP0FOfEkJcewbHWNsLTRuGpCdYBUpmj0RXNZW+NhX+8fyBQjaCSRFbMzcGoUxNh1gXsJa12D+v2NATW31Htt+DMSQknwiyxvrSRiQXx5Mek4u0dKIgo2y247BZcjYdRh8fibqsjYuFNOKr6B0RFpv3DPxG14Fq81i7sVaWIai3R59yGvbo0KPkDoLiddL33W65e8iA/eqaHQzXdLJudze0XFbO9rJnfnzTQRofpueeycXRZHIOW0Hp9Cis3VTN3Qgrvr69i1eZjLJ2VxdGGHiw2N/npkfzy2kl8vrMWr0/5XthrCwJ4EPjDayUcqj2hHZGZFMqdl4zl0Vf2MGdcMj+5cgImvQqNWmLHwRZKDreRnx6JWhVsO3zN3ARa3/wJMefcBsoQP1ifN0hoXBOTijYxe0AZOoAqNBopcyK/+8tePP3J31HZUdyybBTtPQ4+2lzNrvJWLp2TwvRRC3DuWxO0vqg14Bt1Di+9WBkQckyMNpGXHIrb7QNZDgrgJWBESjg/fWoL00Yncu8VE4gK0/HgszsCgtGnsmlvI0umpuHpb1sVFYWblxXx7EcHKT/WxVlT0rlgbg6yrNBtdfLiqvKAvpiEgtcr91c1DnmahhlmmP8Sta1Wv57HdwC/WLBES+fQrTTD/PtRFAWNADcuLeDKxfl4fQoalcRf3tlLmFnHrDFJrC9pCFonxKBm2exsnnxnP2EmLRfNzyU6XI/qQCknjzx9BzcTu+weHHUHke0WtDGpOBuGdqt0NRwiauENKICvpx1EEcuuVVh2rUIVGoNqzo385a0jFGbHkpcWwVub6ofclkGn4pVPKjhzchp/f//AgOWf7ahlwcQUzpyUik6roralF41BTWSoLjD+6jQSTo+XW5eP5oVVB9l3tIPaFisd2jxCXHUYcsZjP7IraLuSMQzzpKVYff4qIVkU+GhTNR9urA4kQcxGDXdeMpYPN1RScrid+5/exnmzM7n8rDx8soJWLaGTBP/zxFedvFOQJAGPrNBpcfLFzjpiIw3Ut1oDFT7HCTFqSIox8chLu4OqowBuPK+IjSWNfL6zNpBzCjNpufn8UfT2HWXzviZ2HGzh4Zum8tS7+3jo+Z2kxIaQmRjKqOxo9CqR/JRwCtIi8PkUfD55OPkzzDAnMZwAOg1xuLz88fUSxuXFEmHWsfNgS5C1cp/DjRCux9c/qxLSb6WJovgf0E4TvD6FXz6zfYCQ25b9TcRGGlg4JY37/rplgFvAzDGJ/P626aAIFOfGDHBFO86o7Gh6+1x8sbOOEIOGi+blolFLxEUa+eV1k7HY3Hi8cuABsrG9jytvyWdneSsZiaH88pVy7l52AUnZ05EOfYnsdUP6RJzxo2lz63nizZ1BD5hen8yraw7x6xsns2RGBi8MInQriQLTRyWQlRTGxr0NvL++irsuHctLqyu4cUEiGkkFvsGTWpIpAlVKEcKM67GZY1FGxhKdNAJryWfIXhfu9jp0aUWoe9qQ7b0oHjeW3Z8Oui3F60bbXUVSjImGtj7MRg0VNV0DhBTbexw8+NwO7r183KDbAdhf2cG8/v7wneUtzJ2QQlmVX7yvrsXKhpIGfnb1BFQqAfl74K4kI/Dnt/cGJX8Aqhp6eX3NYc6bncVLqyv4bEctP1xRjMvtDWji7OsXeZ9cGE9kqI5Qkxax+SDInoD45FCIGj3ahGxMRbPRJeXitXYSMfsS3G119B1Yj+J1o2RMwh47irX7LTz6wxk0ddjQqCQkSeB3L+/ut6PNJj0hlFe+OIJ58WTGnlOMd/8nyA4LqpRRuNKm8NsPaoN+lxNHxuPxnAjQJEnE6VP6q+MEwkxaHvnBNFZvPcYbnx/mirPyhnQCA+i0OBFOUW9WZIVem5vOXicvfzJQDDo6TI/L5UV1mmo4CoKAWi0BCh6Pbzg5Ncz3EkVRqG2xMjor6r+9K1+bSLOO5s5hJ7D/Nori/0cnCiAK2Dw+yqo6qW+18otrJlGYFcWG0gZsdg8FmVEU50bj8ckkRJvISQ7jqXf3o9VIPLi4GPavPbFdj4uONc8Qs+RWHHUVCKIKyRA65H6IBjOu5iq61r6MLjmP2At/TpfFiVcWaLAKvPxREw1tfSyalk1ZVScFmZGBmOhkEqKMdPU66bW5SYo1DfpZIQY1zV12Hn1lD9nJYdxy/ijUKpG7L/VrR1psLpxuH1/urmftrnruvXwcXp9CZ68Tjwjd2mwiJiRhyJlA34ENyC47xtyJ6PKm0eoyIIoKJp2a3YfbeH99VdBnW2xuHnpuB3+6cxY2hwe1JGLQqlCLx6v6la/sIFCrJQShP0F0UgLH5lH46VMbeeD6ybR22YPayqYUxTN9dCICEGLQ4PHJiKeM6fnpEVhsbtbsCHY/7elz8YfX9nD3peN48LkdeLwyL64u574rJtDncKMo+CfdJBEBcHoV7C4PKklAr5EQFf/9aZhhhhlOAJ2WGLQqJEkMJD5S40K48bwiQk1+B5y0+NDT/iYmCAL1rdYhHwJ9PpnX1hwa1CpyQ0kjU4sSefLdvTxw3RR2VbQGufmA33EoxKim0+LkrkvH0tnrT/K09AdxKXEhXLYwj/fWH+VQTTeSKHDTeYVEmXXo1BIOlxePV+bhNw8TH2VkZsEyNBLsPmglrLaTEKN1yAe4t744yhWL8pk2OoHNJyVUtBqJm5eNwuP18fALOwP70W1xUtXYy/qDJs4dOQPbSYFJ4HhJajyxebx+KJzNXx7h7svMPPT8bu67MI/8vCnIfZ046yro2fJu/woioRPORnEP7dwg9HUQYkhBr1Vh0mv4ZGvNoO+z2Nx0WVyE97cxnYpBq/JbbeOv/jXq1UHLHS4vb31xhNsuGP3POtK/s4iSiNMr4/UpKIrMgcrB7VsP13VzwdwcwB9AVdR0cflZ+XT0OkiIMgZcPz7ZWsNF83PZvK8Jpb8qzGftRhUWi7dnoOClOjoF0RCCLnUk1tLP6fz0H/4Fgohpxa9wz/wBuw42s7vMSs3nh7h1+Wj+/v6BQJvZzcuK+oVOfby65hC3nD+KpBgTT35cTVSojgeuuhEJH89+XsPONWVBVd5ZSaEkRBoC9xxFECir6eaZlWWB6yUvLZxbzh/F8llZLJkmI4oCIzMi2V85uKDz+LxYvN7g37QITMiLHVQEWqMSWT43BxlweP3uc5r+mcnTAR8Cbd0ONpQ2IIoCs8ckEWHWIZ3m9+lhhvm26bQ4sTm9xH4H9H+OE2HW0fgVYrrD/Oc4eazVqCWiwnR09DjZsr+JUKOGtDgzWo1EZUMPH2+p5pFbpjEhP5bfvOivgOlzeGiRU4mNScfbdsKty9vdTOvbvyf8yj8gWJoJScjEfmTnoPsQOmExXV++7F+vr4cut5obnx7oxOqVZT7bWcvdl4zj7+/vp7blRKIjJlzPDecV8cSbpeSnR2DUqQesD3DB3BzWbPMnOo7W9/Dbl3Zx24pijtZ14/J4GZMby8ebjzGlKAFZUXhvfRUGnYqirGjKqjt5f30VafFm5o+JJWXU5eh1GnoELb96bBeO/mr6H18+nje/ODLo57u9MjvKWpg1JhHZ4wO+RueAIGD3+Nhc0kBrh53i3GhGpEagEf3L3lxTQbfVxZ6KVlbMywlIWtxy/iga2vp4/I1SXG4foigwtSiBey4fx+9f2ROI8+eMSw6a9D4Zp9tHXauV5NgQ6lutlFV14pNlQnUnHmcVAXpsHtq67XRbXHyyrQa9VuKW80dh0kjDlUDDDMNwAui0RKsSufTMXP7+fhnzJ6YyIi2ct784SnOnDZUkMLM4iQvn5aDi9G2BEEXhKy0uR6RF8NHmwa00AQ5UdpAcY+ZgdSe/vnEyX+ysZ2NpA6IoMrM4kXF5sTS09XGwuoOzpmbw+1f2BN3U61qsPPrKHn77g2kcresmKSaE8BAtahHOGJeMzeVBo/I7ijV32Hhj/Yl9XTwtfdB2qOO0dNqoauxh9pgkls3KprbFgkoS0aglPtxYxfI52aTEhVDXYmVUdjTby/yCybUdDowXnI+rpQZv2wnnJkFSoz3rDh7/qJZ9Vd0YdCo8Xpmi7CgcaFFSxiDWlyB7nH5HpuQ8wqYtR9HohkwYACjRWTRv7eai+bl0W50DhHVPprPXQahp8ATQ7LHJbNnvT3TptSq0GimoBQ78ekHdVhcxZi3e/xGbbbF/WsoLvLe+is931uHy+PjJFeMD78lMDGXexFTCTFq6rE4+31GL2+PDbFRzx0VjkRWFtm47j722h9svHMOOgy1sLG2gptmCoihcOC8XoVeB0tX0bPuAqIXX0bbyz0GOb5IpjIizb6e6W8asaPD1dfuFnZPzEcZfwLMburjwzASMoWHMnxiJTqPivfWVAfF0tUok/JTztXJTNfMmpPD8x+V09Dqp6/KwsaSRJTOy8cpQergdo17NmZPTmDc+OXCvEUWBunY7v381uF+/oqabn/1tG4/8YBpqFAQZrjgrj7v/snlAsBUbYSAzMXTA6z6fzPi8WN5ZW0lP34nrMMSg5s5LxrKhpIF/vL8fr08hPsrItUsKSIs1IfyXb4I+QeDvH5QFOdV8uq2WGcWJXH7mCMTT9SY9zDD/Bo4/BMeGf3cSQJFmHRW13ciKgij8r05jnN4IAngReO3zI6zf04DXJzMhP5YrF+Xz6KslvLeuklljkpg5Jom2LjvxkUauX1qIIMCra4KTBY+9X8UDl96MsW4z3rIvkd0OdOmjCJl+MU98fIzLx6kwdh8ldMJiend+HLSuqXAWKlMEPmcf2tELEUbOZ0vl4BNt2/Y3Mz4vjt++tItf3TCZ9m4HrZ12IkJ1eLwyb31xBEWB82ZlYTZouG3FaN764ght3Q5S40JYOjOLyoYeDlSdmPRo6bRj6XORHBuC2ajhoRd28vOrJ/LXd/ZR1XDCVevjzcc4e1oG587K4v31lfxjlT9miA7Xc8EZOYF4T1YIxCFDUddqpaK2m/yUMHz/LH4ToKK+h0df3RN4/lhX0kCEWcdDN05BEmFLv3vZi6sruPWC0dx96VgO13VT12rlo00nYl9ZVti0t5Fui5ML5+Xy4ip/Vb3f9Wzw9nGA1i474WYt9a1WpJPKhwQBvILAm2sOs76kEa9PJjbCwPIzsqlq6D0pRhlmmGGGE0CnIbJPZvyIWKKu0uNw+vjD6yWBZV6fwpe766lq6OGnV/r1ME5HZFkmNc485HLp1JrPUxEgKcZIVJiezh4XGQmhnDEuGYC1u+po7bDh9sokxYTw5c66QTP6Lo+PL3fVYelz8+S7+zHqVDz2wxloBIUQvYbF0zN4bxBhQYNWRUZC6KAlvQCp8WayksL4+/sHOFrfQ2K0ickFcWQlh1PZ0EOIQc3tFxbz0PM7kASB4/Gkx6uwr8lL1PSbiVbZcDYcwqcLwxWaypPrmtlX5X9gXzQ1HbNBTU5yOO1tXVjNJrRoCJ24BG1cOrLXi6ujHocQQsiMS+he+YcB+6gKj6NbiuCCM6LIT4+ko8eB2agZsiIrLtLIvIkpPP1B8CxXZmIoo3KiWPV8dWDf9lS0MWZEDF/srDtxugR/JZHZoPnO31QEQcAlKxyr7yUyVMernx5i30mVLCqV3xXuikX5SKLA++srae2yExdpYMn0TFLjzdx35QRqmnoZlR3De+sq6e1z8+vndjB1VAI/vmwcRr0anUYiXONGG5JCqzkab28bnZ+/QNSZ1yE7bXi6W/06P4ZE9rTA71/Zy6isBBZNvguDVmJ3k52PXq9HFP2W6slxIfztvX3UtZxwURFFgZuWFfHxKcnWhjYrMf0PaMXZERTGQmqhC9p284O5mdjnp3G4xc2orGjw+QJ3GY8CL34ysPUR/OXZh2q7GJ0Ric8nE27S8PBNU3j6wzKqGnpRSQLTRif6WzVFBp1l1EoCD988hZdW+8WkZcXv3vfcyoNBZeTNHTYefG4Hv7x2Eumxxv+I0P1gSJJIWXXXoDbFG0sbmT0mifRY0/CM4zDfG2parJj0akIM353HrEiz/4G9s9dJ9HfAuv5/Ea8i8JuXd1HdeGLyo7fPjUnvT5x8uKGK9SUNbC9rZtHUdMblxaISRRxuLw2twc5hNqeXe549wLgR2Zx/5lQSoo18vKOZ+GYVhxsstBanE3toO/r0QuJW/BRXcyWKLKNNyELUGrGrw4i8/Pe0O9W4fArj8kOx2D2s3V0fFENtL2vm4Zuncri2i9+8sItblo+iubOPSK2b7BAPI8b0YYyMwat2YPdIOF1ebjy3iLgoAzvKWqhq6CEpxsT1SwvZfrA5UP3a3Gln4sg4+uxucpLD2VDSGJT8Oc5Hm6v5yZUTWK2WcPXr6Qn4Nfvuv3YS6/bUs7G0kdYuO8mx/knJwUiODeGD9ZWkXzQGzT8Jzd0y/PH1kgGTz10WJ8+sLOOG/qTccf781l6SYkz86KIx/OTJLYNus6y6kxXzcpCOizQrEBdpCFT0n0pKXAh7j/grp6cWJaCVRBRZxovAb14MvoZau+z85e193HrBaMqPdQbFKMMM833mu/6s9j+LqCikx5u5/+kdgy6vabHS2m0nMcJwWraDKYq//3koq3cUmFwQH6gsOZVJI+Potbn5w2t7cJ7U/jV7TBIr5uXQ5/BgsbmJizTy4LODHyOA6sZespLCAH9QsKG0gYUTUvB6fSyakoZWJfLBxuqA09eM4kQyk8LQaSRWb60ZIEwnCLB8Tjb3/30rVod/hqW+1Up9q5W8tAjuvXw8tS1WUuPN/HDFGBRFYeaYRF5aXcHhum5CjVqaumW2t4qMy5vF1v3NrHq3Ap+sYNSrWT4nm6zkMN5fX8mk7BAKbCW431mNF7ABCCIRsy7G09OKvfRxtIt+QMSiH9C74RV8fT2AgD5rLMZZl1PTKJOfbuKTrceYOzGVc2dm8uLqgdoqsREGfLJMcmwID988ld0VrTicHoqyonG4vTz2agl6rYrzZmeh1agoOdRG1ClB8qjsaKobe4mJMKCSvsMzqIJARX0Pf3i9FEGAey4bF5T8AX+101WLR9LZ6+TDjSd66ls67fzjgwNcvCCX8XmxxEUaeeNzvy3sgkmpTB2VQJhJy9b9TWwsbeDe87Po3fgUsq2b6EW30LvjQxzHDtD23mNo4jIwzbiEdQ1q/vHxHu65bBwRZh37KrvYV9kVtD83nFvI5r2N1LZYuXrJSGwOD5X1PUSF68lMDGP1lmMB7aHjxEUa6bQ4GZcTwQ9m6Ol68S4Urz+w7QXUGePIGH/JAFFqRSHgQjIYByo7GZsdhc8HyApxoTruu2wcHp/st8tVCchfIU4vywp6SeD6JQVcuSgfQfAf18GsaQGe+/ggP79qAtKQe/TvxSMrfLS5esjlH22u5tbzR/HVXmXDDPO/Q02zhbiI71YSJTLUbwXf3GkbTgD9FxAEvx7hyQ/uWo3EteeM9GvFCXDZwjyiww3YHB4+2lzNT/+2ld/9YBqhRi3xUcYgYwXwV77srGgjOsLI2dExrNvfQWRtH0tmZPL4ykoevORHuEvfxPL2I2iiEhENZiS9yW+00dGCcdYVNHQ4eGftUTp7HWQmhnHrBaPZUNIQkGeIMOsw6VVcdlYebo+PkopWLpwSQ9/qP+JursIDOAFRH0LUBT8jOzGMfVWdbCht4JwZmazcVM1raw6hUUlMG53I2dMyePz1EnJSQvF4fbi9MsvPyObXzw3eqgawu6KVwqyowCTE5MIE3l57hH1HO7h4fi6Lpqbz2fZalp+RzZ/e3Dtgfb9ZiokXV/XQ3GknOcaIOMSEhUol0t7jZMXcXKoae9lZ3hI0uVFyuA1BgOmjElm754QwdkNbH23d9kCSajC6LC5+euUEzEYNMeF6Ljsrn9+/vHvA+0JNGiLNOlo67USG6rhoQS6KLA96DZ3MO18eZcmMDMqqTopRhhnme8xwAug0xu2VaWzvG3J5eU0XKdFGvKep8K5WErn3ivH87b39HO4XzNWqJc6amk5ijIkL5+VwoKpjQFXKzDFJaDUSjz9TgvukctT4SCMzxyZx/9PbA0mlpTMziQzT0TyEg0dkqJ7ek7ZfeqSdueOSEfBXWjk9Ph6+aSoWmwu1SuKLXXX8/pXdjEiL4M5LxvD8Rwdp6/YHFmEmLdctLWD7wZZA8udkKmq6CDNpaO7o48d/2RxIHmk1EtcuKWDFvBzqW/s4XNeN0+Wlp8/F1KIE5oxLxmJzExthoM/uQVYUzp6WQaZyjK73Vwd/iCLTte4VYpf/mL6yjXSv+gvGs+9GPPt+wrQ+HB6Bg00ubIedFGVFUVbdyYwxSfz5rb3Mn5DKubMyWb2lJjAQj0gJ56IzR9DQauXjzcdYMTeHEIOahtY+Kmq7GJkeyW0rRuPzKZiNGh57bQ8r5uWy6qSKEqNOxdKZmZRVdlJW2cG0wrjTSoz8/4Pd4+P3/aXNsRGGQX9/q7Yc448/nMH60gZ+cc1EXB4fWrVERU0XG0sa0aol1CqJCLOepTMz0agkPt9Zi9Xm5ukPyqhvtXLu1CS0e9/B2eJPILW9/xgho+diHnsmAGJkMp8dtFNa2c7FC3JJTzDz4A2T+ePrpQF7dK1G4pzpGWjVElNHJTJ3gkRSbAg7yloozIoiOTaEe/68KSiBepzFU9NZt6ee+5al0/vqPSAHX8+e6t2EJmUhRS3EE5SsUYgK1Q8Ito+TFBNc7SLLfmc4bX/Fn/w1KnX8QqAyGsEvMjlUJR74Wz29PgXpv2Q/pyjKoMf3OHaXF1lR/me1sYYZ5mQURaHmOyYADWA2qFGrRBo7bBRlfrf2/X8BSRI5VHPCVGF8XizLz8imo9fJX97aG7BXl0SB82Zns3xONrPHJmHQqWhst3LmpNRB9eZEUWB8XiwPPreD2y8s5vE3/BM78yak8ovXDvP4dZcROnoOiuxD8biwlH6Bq98dzJOQxZoDMQE5gL1H29lX2c5PrpzAkhmZ9Pa5iI0wsKG0ibe+OMKty0eRFa/HvvlV3M3BYsuyw0rH2w+hWfQLZEXhvNlZAwxQ3l9fSelhMz++fDwqUeIX/9hGb5+bH100Bod76PZ9p9uLRu0fAOMjjcwck8idf6pCUeCVTw/xkysnsHZ3Pc2dNm44t5CXP6nA3n88U2JDuHJxPi+sKkcSBdweHx9srGbx1HSsNjcmgwadSkCRFRRJ5FBDLx9sqMJq9zAyPYL7r53ECx8f5FiT/xgpCrjcPi44I5uSI230nNTGpZL8ldNDzVdr1RK/eXEXHq/MT6+awOjsKK5dMpJX1xwOtLOlxZu58bwi1u6u55bzRzEqK6q/mlgZcA2dSnOnjfAQHYnRvuGK3GGGYTgBdFojCgJajTRAAPk4kWbdaasBBP42sI5uBzeeV4QsK3i8MnqtRFu3gwee2Y7ZqOGB6yezu7yFHQdbCTGomVGchKL4xXPdp/QiX3xmLk+8uTdIy2RjaSNXLMof8iFxRnEij52kVxIRokMSBGQUFEGgsc3G+pIGevtcON3egF5PWVUnvX1ulp+RQ6hJ6y+rjTFh6XMF2aifTKhJQ0+fi3+c0kblcvt48t19/PqGKTy7sowV83IJD9GyZnstVpuHgsxIFkxKpa3LzhNv7aW9x8GV81KJa/5gyGNrq9iGIWsstoqtuLe8imrxT6h16qlvseLxqthe1szLn1Rw43lFdFtc1LVYeWZlGdNGJXDHxWNQFFCpBDweme5eB6IoIAiCv7c6REenxcHO8hZWbjxR3XDm5DQmjYxnZHoEu8tbMehU5KVFMDYvlnfXHuG8Wdl8trOWqYVxQ+736YxaLbFxV33gN+VweTEbNQPeJ4l+ocq6VivvntRCOHZEDA/cMJmuXgcen8wfXy9BrRKZWZzEnkNtRIf7rVABpueG4PzwxKye7LLTu2MlvTtWAqA5+z6a2tVMHBlPUXYkLrePPoeXG88rxOHyYXN40GklTHo1v3p2RyCJet8V43nl0woWTErj4LFOfnTRGP723v5AP71KEjhvVjZ5aRGkJZhRGnYMSP4cx7rzY2LyZuDhhJaHVhJZNieLv7030M5WEgUm5Md+qxpQsqwQ0T87Pxh6rQrxv5T8Ab849cSRcYHzeirTihJQCQK+4QqgYb4HtPf6BaDjIr87+j/gb/uNDtPR0DYsBP3fQFFO3OdT40KYOTYJu9PLo6/swXfSw7pPVnj7yyNEhelYubGaPoebqxaPxOXxccWifN747HBgcsuoV3PtkgI+2VZDY7uNP7xewmUL8/jDayVMLozn7kvGQe1WWte9NOg+Ofd8zDlT7+ZAf2wpCDAiNYLSw22MyY2hq9dJeXUnKXEh/uWiQGKIgvPI4BXpst1ClGgBRYvYv38nJ4BEUSA9IZTIMB13PL4xEPcfru1idHY0Ow62DLrd4twYth9o5pIFI0hLMGO1u5FEMTABuXFvAxNHxvHZ9joevW06kaE6ZNlv1d7SaeOp9/bT3u1g2ugE9hxqZUNJI/npkfzu5d2oJIHF0zI4a0oar316iPV7GgKfW99qZUNpIz++bBy/f3UPNoeH+CijfwJMhEdumcbmfY1sL2vBoFMTYdYxIT9u0O8RE67H7vLg6Y8d3ll7lPuvncTM0QmMy4v1O5Sp/A5lOrXEJfNyEFDweuVANbGiKESYh44VNCoRRVGYMPLbjVGGGea7ynAC6DRGpxKZNz6Fj7cMFEtWSQL56ad3H6vPJ5OTEsaLqytYu7t+wPK2bgf3/HkT/7j3DGaPSUIUBcpruvlkaw05qWFB7zXq1SgyQckf8P/d2N7HstlZvL+hKpDZV0kCl52Vx+6K1sAMfXyUkRX9A4cgivRaXSTFGtFpVJQeaWPu+JRAAgj8A9xf39kHwKSCOMaOiGF0dgyhJi29fQMF6mYUJwUlTE5GUeDznXVMGBnHi6vKiTDrmFQYT0aCxLGmXlxuHw8+tyOQ9Ao3SnitXYNuC8Br7UIdmej/f18X4XqRfQ02yo91YdD2V+RUdXCgqhPLSfu6eV9ToHwZ/CXMt19YzNH6HhZOTuOJN0sxGTRcflYej79RGvSZ4SFapo5KwOHyMH9iKs0dfdS39bG7vJXzZmfz5Dv7uHjBiK9V5XE6IggEVZJZbG4MWjUGnSowYwZw16XjeGl1ObvKg3Vf9hxqw/PuPi5fmMcDz2ynx+ri+qWFfLixilHZ0ZQcagu8V1S8A9qrTkYv95GfkUV0uJ7nPjrIrvJWFMWf8DhrShoRZh1Pf1hGSmwIlywYwVPv7QcgLETLD1cUYzZq+PNbezlY1ckVi/KJjTD4fxsCfL6jjjv+tJGi7ChuSmkbch9kZx8Cwfvo88mMGxHD/ImpfHaSRatOI/Hjy8ehV4so3+Lsms8nMzo7GkkUgh4EjnPmpFR0kvhfuw/6vDLzxifz2Y7aAZWMUWH+gPd0vkcPM8y3yfFqifjvkAPYcaJC9TR8RcX1MP8+fD6FESnhqCSRs6dn0NXroLbZMug9H/wumnPGJfPyJxU88WYpP79mEp9tr+F3t06nuaMPQRDw+mQ+2lwdqApp73YQEaLjzMmp7KloY/O+JpYZBjfQAPDZejHpJJJjQxidHc2kgjhKj7TT0mWjqdNGUrSJpBgTxn6tq9omC/n5GlxfMa73tLXS0B6BT4Flc7J48h3/uC2KAndcNIb6Nis7Dwa73q7b08C9V4xn75H2AS1UafFmYsP1JMaY2F3RyqtrDnHhvBySYkyB32JXr5OR6ZH88rpJaESIDtPzq2d30G11odNIpCeEUpwTzcSRcfz2pd14vHJACN3rU1i95Rjj8+OCkj/Hcbi8rNxUzdzxyazcVM0NSwsD7pxqYO6YJGaNTkQQBURF4dolI+m2OjlS1xPYRnSYnpvPH8VT7+4PvNZlceLxygiygkYAzXE9MUXBPUQ1lM+nMCLNfw2dKt0AML04iehwPXrVtxujDDPMd5XhBNBpjOyTWTozk6rGXipqTiQDVJLIT64cHyjNPJ2RAJN+aDFIjUrE45VRoYBPIT81jJzk0TS09/H++hNltGajho7ewdtO3vriCHPGJfPH22dyqKYLURT8InGH21izvZaspDAunJ9Dt8XF5r1NZCWHkRpnpr7VwtgRsahVIq9/dpjYCAPRYQPbW2YWJ7JsTjalh9tYva2GWy8YRWePk+c/PhjU/hFh1g0qBnuc1i47OSlhgH+AW92f2CvIjGRbWXNQxVNli4uc+Gx81sErm7QJWbia/NUn2vgcDjfZ+es7JwbQT7fXcu6sLPLTw9lzaOiHfI3aX5a79UBTQGSwy+JErx14ayjKiuZnf9vCjy4ay6otVYwZEUdavJkDVR386pntRIbqyUsL/84+8Pp8CqOzY9i090SC7J21R/nhimL++HoJTrcPrUYiOlw/5GycVi3R2esMlD6HhWhp67bjk2U06hNKNYpKi6Q1ILsGFzl06WOwdbh5f30lVSdp7jhcXt5dV8kFZ+QwLi+W3RWthIVoUatEzEYNje19vLSqggvm5nD29AxeWl3B42+UMiItnMvOzMPt9rG+xB/INbX3oZqch7t01aD7oI5KRhbUA+RrRFlhxZwszpmeQV2LBb1OTXykAe1xAcevgSAIiCJfS7xZJwncd8V4fvvSLrwnvX9kRiRnTUn7r19vOpXAI7dM4511R9m8rwlREJg1JomlMzKHFLseZpj/RaqbLISZNBiGsLw+nYkO1VFe04VPlpH+m2WF31O0KoGfXTWBqHA9lfU9VHxFO89xFyjwa/2s31OPRqOiqaOP37+8G4XBW406rU4WTkplZEYkfXYPPv0IYM2gn6GJTccQYWb+xBR6rC5auuykJZhZu7uezXub0GtV3HfFeFwuH9nJYeSmhWMMFfHojMjOwSvJhPBEth2o5khdN/ddMSHw+pmT09hV0UqP1UV8lDFoHYfLy2ufHuK+K8ezemsNpYfb0GtVzCxOYnRONA+9sAvbSZVEGrUUlAAZmRHFmZNSkBR/xYxWI/GLaybikxVcbh/7KztQqUREUWTehBR2lbditZ+YzMhICmV3xeDxDkDpkTaWzMhgSmECMaH+c3K81cvnk/3tzz4FGVAJcM8lY7E4PNQ0WdBpVbg9Pp56d3+QVmheWgQGrQqH/f8nJaCV/NfQQy/sDFQTAWSnhLFibjZqgdP+mWmYYf5TfOcTQGvXruXxxx/n2LFjJCQkcP3117Ns2bKvXMftdvP444+zb98+Dh48iMPhYNu2bURERPyH9vrrI8oyd15UTJfVxaGaLsJCtOSkhKMVT//kD4Db7WXmmERWbhq8MmbehFS0knDiQVBWUAHJMSYSo00BDZYeq4u4SOOg2wC/G8OYETG8/tlhZEVh2qhE5oxLwmzSkhIbwq+f3xlkgx4eouVXN0xG1S8ecs2SAp758AC3LB/NZztq2VHWgk9WWDE3m+hwAz/8w/pAQPH+eshNCefOS8bymxd2Iiv+AS8tLoT0BDPNHYMP/qlxIYO6GkSHGQI91Mf5orSVRVcugcpdIAcPgoLWgD61gN5tHwACwrhlyL6BwpXvr6/kF9dMZEpRPFv7bTlPZcboJN74/MgAhwnhFCvca5YUIAoKv791BgIKVywaybMry6io6UYSBaaPTuSi+bloxa+fBDjd8PlkCjIjCDNpAzbklQ09vLuukjsvGYvb40MQwOEcfAZKJQlcMDcn6Fi3dtlJjTOz51AbVy0eyfayZvLTI7CLJiLHn4tr86sDtqNJyuNQm0JYqC4o+XMyH2+p5ubzR7G7ojXgXHPV2SN5cVV5fxviAS6cnxtIEomCwM7yVmIj9MydkMIXO+vISAxDjExCFRqDt3dgkjB8zuW4BB2DCRgLioJeJZCXEoai+C3iv855FyUBl1ehqb2Pjh4HafFmwkK0AZv5wVAUhYz4EP5y12wO13XTa3WRlxZBeIj2tLBY9/kUtCJcNj+XC87IQQA0koDsk4eTP8N8r6huthD7Haz+AYgK0+P1KbR2OUiIGjrWGObfgygIJMaYePmTClo77YzOiWbbgcHjlpS4EFpPiqUa2voozo0B/K3cp8omGHUqLjsrn+gwPRW13YSZdGQmGjAZDXhCIgedaAuZeRn3vlxGQ/uJeC42wsDtFxbzyMu7sTk8/O29/dx16TiWzswkLsLIh7saWTzlfHrXvjhge+rEERxu90shtHTa6ehxEGrS0NvnZmxuDA89v4OYCAMTCwa20B+u6+aRl3ZzzoxMrj57JA1tVj7dVsuq56s5edgVBchICOXldr/Zh16roigrEq9XDjhzqUQRtyDzxueH2F0RPO6fOyuLWy8YzcufnDALUZSB8eDJCEBCpNFv2NDjpKHVSkyEgfhII1opeJJHUUBEIUynoiAzkh//ZfMAu3dJFDh/TjY6rQqHfWgr+MFQZIXUGCN/vnMWR+t76LY4yU2NINKsRUL5qqLrYYb53vGdnubYvXs3P/jBDxg9ejRPP/00Cxcu5Kc//SmffvrpV67ndDp5++230Wq1jB079j+0t/86oqIQHaJh5qgEitIj0Aicls5fQxFq0HDOjIwBrydEGTlr6uAz+CrgF9dMZHJhHKLgnwXxeHwkx4YM+hkLJ6exYU8DPX0uLDY3o7KjuP/pbcSEG/j9q3uCkj8A3VYXj79Ryu6KVlq77Byp6+bm80dTcayTsSNiePS26fzx9pmMy4/jL2/vG/Bwerium0M1XVx99kgump/LgzdMYfP+JhZMSmMwh3uVJDJnfMqgFUJqlUhqXPD3cri8PLehHd3Z9wVavQC0CdnELr2drrUvowqPI2L5T+jTRqHVDO6DVHK4jYQoE7PGJA5YlpEYyuTCeA5WBwc/0WF6Is065k9M5dxZWfzx9hkY9Sqa2m1oBH8FSJRJw10Xj+FvP57Dk3fP5sqz8tAIXy8JcDqjFQUeumkKhVmRgdcsNheSKDAyNZzi7CgMusHz5hNHxrN1fxPxkQby0yO4aH6uvxVx4QgsfS6SY01MLUrg3FlZ/Or5XRyQszHOugJRb/JvQFRhLJyFfv7NvLOthZYhhM0B7E4vUv+Flhxr4tpzCnjz8yM0tJ1oYVi5sYo545IBOGN8CtVNPTzzYRnFOdH85uapLJ+TzY+fL0NZcBea9DHQL1UshURgXvQjlMj0f1qhI8tDJ25ORZQEOqxu7nhiEw88u4O/vrufu/+ymd++vBvvP5NJ7i8FH5UewcxRCUSFaE6L5M/JyD4ZNQoqFOTvaBXcMMP8q3h9MrUt1u9k+xcQcP8abgP7z6OIInuru2jptLGxtJHDdd2MSIsYtBIZYMn0DL7YVRf4Oz7aSGevk017G1kwMTXovVq1xF2XjuPzHbX85Mkt/O29A/z2pV088OwOqrtFoi/6Jdr00Rwf/1TmaCLPvZtuTRy5aZFB22rtsvPuukoWTPJ/RlOHDVmWKT/WSWuXnXfWVbHPl0XI7CuDxnVt/kzsE67m75/UBLZV2dBDTLj/t+L2+pAVv+NlpFlHmEk74Ds7XF6SY00YVAIJkUYqG3o4Ndy67Kw81pU0oCiQnRzG3ZeOpa3bjk514lFPrxY5Utc9IPkD/klDnUZCpzlx3KsaeinIiBzw3uPMKE5EAR54dgf3PbmFv767n/uf3s49f91Mr8OHOFhADGhEuP/aSYxICQ+8lhIbwq9vmEKo4V+vTVD6Y4XCtHBmjU4gxuyPFU6zcGGYYf7rfKcrgJ566imKior41a9+BcCkSZOor6/niSee4MwzzxxyPbPZzM6dOxEEgffee4/Nmzf/p3b5X+Z4OeV3EVFROHtqOlOLElizvZY+h4dpoxLITQlHzeAGyYriv4lfd3YBly3Mx+P1oVWr+NlVE/jrO/sCjg8alciCyWnEhBsCgrwzihNxur1cuSgfk0Ed5ERwMlUNvVw4LxdZVthY2sjmvY3kpkag0/bw2hp/S9iItKGrwj7dVsMdF49Bq1bxy39sxSv7B+n7rpjAU+/tD+gVxUYYuHJxPr1WJ2dOTuOzHbWB8tSi7CimFsUTatLy/vqqoNLdnYc6qe9w8sBl92EWXHRa3IhGAw4JXFOuo8mi8MYHLTR3NnLtOQUsnJzGJ9tqgvbR4fKh00gsnprBzDHJrN1dj8frY0phAmkJZmpaekmKMQUSB5IocMXifF5cfRBJEulzqLDaPew97HejOn4NyrLf2UjTP7Yr39Fr81RkWcGgErl9+WhcXhmvrKBTS/1VajJWh7+VqzgnGo1aCiRYRFHAqFPz6fYa5oxNprPXydb9TQiCwOyxSfzpzllsKm2kMCsSr89fet1gEdAmjiJidi5GtYxPkPiwwkpWg99hI/wrBA1VkoAoCCREGem1uXl0EGFyu9OLKAhkJ4dh0qs5f04OLR2liIJAuFlL6eF2Onqc3PPCIRZPWMikpcsRFB/tdnh3Yzu3X6hC/S3aV7l8Cg88sz2oXB38v8MXVx/imsV5//Q68icYhyO5YYY53Who78Pjlb+z1TMGrQqzQU1dax8T8mL/27vzvUERBN5Zd5R1exq44dyiwOuvfFrBXZeM5fmPDwbiE7NRw4XzczlQ1Ulnrz++EgSYOz6F3764C5fHx48uGsPSmRms2lKDxytzxvhkPt9RO6Ca1ubw8LtXdvO7W6ehnXszRq+Nzm4bjTb4w6etHGveweKp6Vy2MC+oImbf0XYWT0sP/O3zKazaUsOYXP8188f3j1KcHcltKx6mt8eCF4k1Zb18/mJ5UFtSfJSRpTMz2bS3kdCTzCZeWFXO7RcV89LqCqr799mgU3HpmSPITQ7D65UxqEUeuWUqe490sPtQK1GheuZPTMHh8pIQ5Z9oami1UNNsYcbohKBnB6fHN2RFPsAn22q4+MxcXv8M9h/twOuTcXtlFkxKZc322qD3hhjUXDR/BH9+e2/Q5BP4q/YffH4HD90wedAHTdmnEKZXcdclY3B6fCiKX0tQK4EgitidHkRJhH9RsFmWle/8hOQww/w7+c4mgNxuNzt27OCuu+4Kev2ss87i448/pqGhgaSkpCHX/6qSxmG+fY5XMV25cIS/P1tW8Pnkr8zKH7eD1on+gQEUBAF+uHwUDo+My+PDoFNR12LlvXWVFOdEs2R6BqnxIYSH6LHbXVSe0lp1Kl6fTE1zHyPSwjlU0x2ktZQWb6bP7h5yXZvTi9sr02WxYTJq6bG6Au0/D944mYZW/4Bosbl5bc1hGtqszCxO4u5LxxFq0iAI4HR5EQSBw7VdPHrbdFq77IiiwLGmXj7bXsvCyWnIGhNdXgN/+HgPl5yZx8Mv7BywL0+9u5/7rhjPxtKGgGUqwJTCeHqsbl5cXU5Tex+jc2LQa1W8uuYQXp/MnReP5cJ5OXy4sZrMpFDmT0zD7vCg1aho7bRzzTkFSJLA0hkZ6FTCd1bg+f+D0m/brZMEkARAwedTEPvFhhVF4bqlhWw90MQfXi8JlJvPGZfEhfNyaWzvIys5DFlR+GRrDc9/XM663fVctGAEL3xczoLJqYSZtOSkhA3uKLetgZ9f7beXDwvRDprAnFqUQHVjLz++fDy/fHrbkN8lJkLPstlZPP5GKWEmLQ9cPwWdSkCrlgKixXanl7c21vPWxuB1fYqC+lu6TwoCtHTYsdo9gy7feqCJSxbkBOziv09IKhGnR8bu8qKSRPQaCdX/QDXdMN8vqhotSKJA3He0AgggJtxAbctXxwzfRyRJwOFV6O1z4/AqaFXCV1p6/39weHx8sq0WURSCqmurGnr5xwcHWDI9g+hwv4lBcmwIz3x4gNIj7YC/tev6cwsxaFXcdclYJEkkIcpIYWYkc8al0G1xEROpZ3d5K7PGJiPLCg6Xl1VbjlHZ0IPV7uFYk4XYCCN3/3nvgHvuyk3V3LSsKEiOAAhM1Bl1qoBFe7fFSUZiKNWNvZQe7eRva9TEhBv4aPORAd9Zr1WRHBOC2aCmKD0Cr6yQlxaO2yuzaGo6Hq/sF1TWSFhtbmL6xYtPnoDTqUTG5cUwOicaSfKLLIca1JiNWtweHymxJnQqcUA1qqxA3xDjMPjj1XW76zlvZhZllR3Mm5iK0+UlJtzAjy4aw8bSBqx2D6OyozhjXAoerzykC297twOL3UOEYXBNMFlWEAFDf4WSArT0uPh4czWdFheTCuKYODIOl9uH1ydj0KrRqQV8wy5ewwzzjfnOJoDq6urweDxkZAS3FmVmZgJQXV39lQmgYf7zKAp4+l0MVCoJtVoK/P11EUXRLwSrKBi0KrSSyIjkUO65dAyiICAo/gFF1T9YRofphwxU9FoVAgIfbqjirkvH8vxHB6ltOWHn7HT7GJ8fx2c76gaujF+orrbZQll1J/MnpPLWl/6Bfuv+ZpbOyOSzHbUDBJjXlzSw51ArD900FavdzZG6HiYVxtPaZefnf98aeEDOTQ3n59dM4pOtNTzwzA6uP7eQOy8ey2ufHR7y2Hy5u55poxMDszQ5KWEkx5ooP9bF4dpuRMFfRTapIIEJI+PweGRqWnrJSgyjMCuK3JQw/vxWKS2ddpafkc0FZ+TQ1u0gNyXML56nKKjVEnJ/8u77gCSJOLwyHp+Mw+ZBURS0KpEOixOVKPLLaydhc3jRayUa2/u464mNAcewwswo7r5sHI+/XkJNi5XmThtGvYrEaBPTixP5fOfg1xXAxtKGgKPXn9/aG+R+V5gVxQVzc3C7fTR39g0ZhI/OjuZoXTd6nRqHy4vD5cXmcKMzanC7vRRmRvL6EJ+fFm9GLYnfToSPP+F+qoPfyciygrtfoPL7hCII7Kvu4tmVZfT2+RNyWUlh/HDFaMw66WuJZA8zzOlAVVMvMeH6gK7ed5HYcD17Kzv8kwDDk4QAyILAupJG3llbicPlRRBgTG4M1y8t/MZyBKIoUNmvPyjLCnanl6gwHR09/rGitcvO0x+WATAiLZx5E1KZPymVBZPSCDGqCTVq2VXeQsmhNmYUJ6FVi/zsqa1MHZ3AtFEJdFkdGPUqvthZF4jtIsw6Ll04giN13TS09WE2ati6v2nIhPvJjmMAYSYtbo8//rliUT4hBg0P3TSF+Egjo3KiefiFnRxrsrCrvIU7LxlLS2csu05q/Q8xqPn51RMx6FT9rl4iEnDHRWM4VNvNC6vKA9VNKXEh/HBFcVDy5/g52byvidc/OxKQNzhvVhbzJ6aAomAyqFGJAna3v7JGqxYDkwoalUhRdhQbSxsH/b4FmVFs2ttIfJSRf/xkLhLQ5/Sy72g72w40MbkwnsKsKGJC9cheH3bP4JqIx+mze4g0qv9pKKEIApv2N/PCqnIAkmJMJMeE8MjLuwMalWEmLdeeU0BeShjCcE/XMMN8I76zCaDeXv8NwWw2B71+/O/jy/8bqFTfjQBI6g/UpP9gwOZVwGr3sLO0EZ+sMD4vlvAQLaqvEWvJwLGWPv7+wQGaO2yIAkwYGceVi/IxaiR/ICIIQd/LoIEFE1P59JTSVYBzZmby5e46MhJDsfS5uW1FMRqVSGevE71OhVoS0Wj8NqD1rdagdUUBzpudxZPv7KPb6mLh5DTG58cGrMEfe20PP79mEq1d9qDSWINOxQ9XFLP3SDthJi2jcqOpb7Xyl7f3BW3/cG03v3x6GzecW8Sn22t46PmdPHb7dNq6B3eNAmjrspOVFEpYiJbZY5PJT49gT0Ure492IIkCP7p4DOXHuvjzW3txun2EGNQsnpaBQafmvXWVnDU1HZNeg8Nl4aXVFVx3TgGdFgc5yaG4FTjWbOFQTTdJMSbyMyIwqMVv3I3z77oGv8lvUJJEHG4fCvDBpmrWbK/F5fZhNmpYfkY2o3OiiQn3C3dv2d9ETko4DpcHg07N+Pw4NvS7bB2o6qC9x86Vi0fyx9dL2FHWQkFmFFabm6yk0K90jGvrdpCXFsELHx/kmiUjMejU9NndGHQqRFFgQ0kDKXFmPt5SzQ8uGMUfXy8Naq1KiDJyxeJ8fvbUFq5bWojZqCEpxoRKJeEBJARiIwxkJ4dxtL5nwOdfs2QkerX4rVahpMaZh1wWYlCj16jQaPzn7Zt87n/jvvavIIoCVc1W/vBaSdDrlQ09/PRvW3n01ulB2g3/H06XY/BdGQu/a5wu5/dkqhp7SY0LQZK+u4mT+CgjW8pa6LV7iAodugX3dDz+X8W/+jsUJYF1JU28/MmhwGuKAnsOtfHwCzv5+dUT0XyD8y0IQn91t5+3vzzCLeeP5o+vlwQqVMHfRn/N2QU8+NwOLDY3Vy3OZ8v+XjbtPZHE2FDaSF5aBFeenc/vX9lDUVYUGfGh3PvkliANSLfHh4DA+Pw4VFIbHq9MY/vQentt3XbCQk5o8pw/J5sDVe384pqJ9PY5UatEbE6FlZuq0WokblpWhFYtUd3od7laOiuTs6amY3N6CDdpCQvR8uYXRwIJmPz0CH6wbBQ2t5c/vF4SlCipa7Hys79t5Y+3z/DHW/jPydayVp77qDzwvuuXFmKxubj7z5sYOyKWc2dl0W1x0tpt5/MddQgC3HheEdFmLSgKF5yRw7YDzUEtaQCRoTqSYkxU9/+WjRr/JG2oXsVVZ+Xh8spIgoBG5Tf7EFUiBp0ajUoMcrE9mehw/T/9nQgCODwK76w9US115eJ8HnttT1DVcE+fi0df3cODN0wmPdY0XCU7zDDfgNMqAWS1WmlrG9qy+jjJycn/gb351xBFgfDw71YPvNk80EHq34HF5uLdL47w4cYT/cdvfH6EWWOSuGZJQdAgOxgHqzv55TPbA3/LCmwva6G6sZeHb56KJIqoJBFz/3aOf69LzhxBQrSJd9YexWJzEx2u55wZmThcXqYWJdDUbuOZlWVYbG6SYkxcflYePruCw+0hLS6U2y7wO4NtKGnA7ZXJTg7j/DnZfLGzjm6rXyDY65NZMiODs6dlUF7TRahBgyQI3Hv5OFo67Ryt7yEi1C/u9/rnh6lq6OXMyalkp4Tx+Celg37fbquLnj4XsREGWrvslFd3kR5vDvSFn0pmYiiTC+LJTY3g/fWVfLChkpuWFSEKAktnZrJ5bxPby064aljtHl7/7DCKojC1KIGc5DB2l5+w+3zryyNcd04hdpePB57ZHlTBoVVLPHjDZHJSIwJixN+Eb/Ma/Ca/wd4+FzsrWum1ujhY3Rk0c2exuTlc202IQcOf3iw9KVA7RmZiKBctyGXSyDjKqztp73EABFzfzEYNoigQYdah16mINOtIjx/aMS4rOQyVSuS82dn02T18sauOY00WrDY3KpXII7dM409vlrJibi5vfn6EW5ePxmp309HjIDkuhJTYEP7wWgk2p5eWLjvXLS2gpdPOr57ZTrfVRVykgSsXjeTey8fz4cYq1uzwJ7nS4s1cv7SQrOSwIQU4/1VEtYr89AjKj3UNWHbxghEgwPYKv8VtTko44WYdWvW/XhH0n7qv/av09rl4aXXFoMssNjfltV2cMS7lG33Gf/MYfBfHwu8ap8s13tnroL3HydwJqYSEnB779K+QleJ/UG23uMhOG1r49jiny/H/Kr7J77C9286bXwxsYQKobbHSbXV9pU7i1yHTp6CSBLw+haYOG899dJCblhVhc3josjjJSAwjJlzPw8/vxGJzE2rSEB6iY9Pe8gHbqqjpYkpRPNnJYazdU09anDko+aNWidx5ib/au65/Uu9ofQ+js6ODYqOTSYs309JpIz7KyMXzc4kK0+NTFJxuLyPSIvlgQ1WQNs6bnx9hRnEiIzMi+c0Lu/DJMrPGJHHerCwkSeCHf9gQlHg5UteNy+vjtTWHBq2Scbi8bNnfxPIzchAEgY4eR1Al+LTRCbR22flwYxXXnD0SjUbiwee209HjJDpcz5LpGXh9Cvf9dTN/unM2STEmQrwyv791Os98WEZZdSeSKDCxII4Fk9L4y9t7AX8lkMk0dBL0OEaPj6WzsnhrkOtkSmE84WYdIQbNIGv66ejxT5LWtli54bwifD6FdbvrqW/tG7Jl/MVVFTxw/STCjV/9zDDMMMMMzWmVAPr000/52c9+9k/ft3r1akJDQwF/0uhkLBZ///bx5f9pZFnBYhm6SuN0QpJEzGY9Fovj397SIwhQ224PSv4cZ31JAxNHxlGYHj5kRt+rwLMrywZd1tbtYN/RDj7cWAUKLJ+bTXFODIIsB77XnOJEJhfE4fUpdPQ4eHF1BaNzotlZ3hJk293Q1sfDL+zi2nMK2Lq/icb2Ph6+aSrR4Qbuu3JCoAKjpcNGeIiWC+fnkpsSzsebqymr6uR3P5hGYWYkGpXI6m01jM+L5U9v7SXSrMNqdwdKe8F/rXT1OoN6y0+lpqmXuEgjrV121pc0cOO5RawvacB3ynGSRIGZY5JwuLy0d9tp6bRx6wWjiQk3EDFehySJAZHsU3l/fRX3XDaO6HA9bd2OwOu9fW6iwnQ89d6+Ae07Lo+PB5/bwWO3zUD3dcq3hmCwa/CbPjT+q79BQRRYvb2ONz8/zM+unhgoRQ4sF2D+xFTuf3rbgECtqrGX3eWt6HUq5k9M5dU1J2ZM61utRIfrmT0midy0cO7582ZEAe69Yjzby5oHOHmoJJHZY5O4+4lNA84zgM/tw2Jzs3RmJhtK67lofi7Hmiw4nB7y0iORJIHfvriLpv7kUmFmJOv3NAS1nLV02vntS7u47pyRXDAni8VT05EVBbUkoFWJOO0unP9PC9avwx0XjeH1zw+zoaQBr0/BbNRw8YJcQgwarv/Nl4H3SaLAjy4qpiA94v9tVfmfvK99E1w+hWNNQ1eqHqjsYOKImP93myx8O8fgv/U7HOafc7pd4zsP+icOokM0WK2Of/Lu0xcBMBvV7DvSRl7y0DHkf+r4fxsJ1G/yO7Q5vPQ5htaLqWnqJT5c940qMTQi/HBFcaD6pb7VyiMv7SY5xsSPrxhPb5+Ln/1ta6AiaFxeLFuHsIcH+GxHHRfOy6HP7mZneXCV7bRRiWwoaQgkf8BfbX3hvFz0WtUAt1iAC+fl4vH6CDfreHddJTXNFpZMz6Ch1QqKMEAYGWBjaSNFWVEkRhu5YlE+FTVdrN5ag9PtG1B1M6UogU6Li2NfoVd5sLqL+eMdKLKC3eUL0gWcPyGV8upO7rtiHIfrenjvpDivvdvBsysPcu6sLCYUxPHhhkoumZ+DIitEmzVcs2QkrV0OFEWh9Eg7D7+wE5fbh0mvpjAjku7uoSujTubMiSnoNBLvrj2KzelFoxL9LrIzM/G6PHS7Bl5DoijQbfPwi39sC7KCj4s0cN8VE3hv3dEhP6+muRe7w4PP/dXtZ98WwxMZw/wvclolgJYvX87y5cu/1nvdbjdqtZrq6mqmT58eeL262p9gOFUb6D+J9zsmUObzyf/2fRYlkY++wnng/Q1VZCeNGdLa2YtAZUPPkOtX1HQRE25gd0Urj71awjkzMlk6Pf0kVyEZCZBEiI80cMPSQryyzGcv1nLFonxSYkNwe31o1RKlR9p5b91R7r50HFqNRFNHH61dNsqPdZISG4LV7iEu0oBJr2ZPeStvnDQbI4gCTe02PtlWQ3VjL2NyY7Da3FhtA8WkJxX4tX/CTFp6+gZ/2I4ON3CothuA8BAtsiJzx8VjeGFVOe39yZrocD1XLMpn5aZqLjgjG0EQuPG8Iv769j7aexzcsnwUes3QP3WXx4fJoKajNzhw16ol9FoVh2q6B13PavfQ0esg7itK5b8u3/Y1+P/dliwI2Owe3v7yKAadOihRB/7kz1lT0qls6Bmyl319SQM/WD56QAtEVJie6FA98VFGaputTClKYEphPKIo8JMr/Y5xxz8vLtLAVYtH0ufwDJr8AX/g5Pb6eH99FbetKMZqdzNmRAyV9T28tqaCqsYTgWSEWYdRp+bLkyxzT+aVTw8zbkSs3+1LAGQFt/v/n3D4uojApfNzWT4nG7dXRqeWqG7u5bcv7g56n09WeOy1Ep64YxZG9b/WvvCfuK99MwSiwoKTrieTHBOCx+P7Rt/hv30MTu/j/93nv31+j1NR202EWYtOo/rO61bFRxo5Ut/ztY7r6XL8/xn/6j6qVSJqlTggaXGc6HADHo/8jXSAAEamhfOnH81i7e56WrpsjMqOJjMplPfXHaUgKzqoHUwtibiGePDPTAxl2ZxsYsL1pMabqT/FmWpCfiyPndJyC/DKJ37HsRdWlQfa/UNNGq5ZUsDmfY1BOpDR4XoWTklj9dZjfL5zYPLnOOtLGrjr0rE8+soealusXLYwj7W76we8b1JBPNX/x95Zx8lRn3/8PbJ+7u4ez11cIRAFQnAIkCKlUGgphTqlRmlLW2pQoD+guLsH4u4ud0nO3X19Zn5/7GWTzd0FAqGxeb9eIWR3dnZmdma+z3y+z/N8ajuIDrMM6libEGUDzfc7SqKvbM7tUbj10mF09rrYfqCZ/IxI3l9VOuDnP1xTxo9vKOK5j/bh9KhImobXCyEWAxWublZuqyY5LoTpo5Oob+nllkuGYpKEEzpvZoxKZNKweFxeFaMs+htQD7YKL/DgfzcFiD/gm5z6eF058cdxE4wKs6Bp+viio/N1OK0EoBPBaDQybtw4Fi9ezKJFi/yvf/zxx2RmZuoNoE8zFE2j+ziOWj12N2pfA+fBCLEZ/Y1SjyUsyERN05FZnfdXlzJrXIrPyekYRE0jNsxESU0n9y4s5IWP9/Ncn7gkCDBpRAK3XDIUURTosft6u8yblM7anXUU5sXw0doKdh5sJispjIVz8njhk/2U1nQyPDsKj1flyXd2+10izMdpaisIAsu2VDN7YlqAiHQYoyySnhDibz54yZQMeuweXl9ygKtm5BDSZx3abXfz5tKD/pmp6FAzf3/tSOPgp97dwwO3jj/OkfVZoqrHBHHTC5MGFSGO/pwQZj5ZvYJPCaog8NJnJYwdEodXUXF5IMhyxLUiIzGUG+fm09Rm7xdQHo3TrWAySgHBqtUsk5McRlyElS67i5S4YPaVt/LQs5tQVI3MxFBuuWQI0WFWunrdhIeYeeTlrVx+XjbRYRZ/KdnRjB8aR4/dQ3VjN83tvkye7101kgNV7QGziEkxQfzo+kLau139sowO43D5ZnjDB3Hp+CbQFBWjAEaDiBd45v29Ay+nweodtVw8Me0rZcGc7phkgSvOz+bfb+3q954sCYwtiNUDXJ0zgpLKdhKjgk71ZpwUEiJtrNlVj1dRz+iG1icDkywyoyh5wB6KITYj8VHWry3+AKBqBBlFLp+WgQa4FZVbH1rK1FGJxIRZSE8IobyuC1EUmDQ8nqYOh98J7DCjcqK5YGwK/3l3Nx3dLmRJ4Bc3jePjteX+8c9klPyx2dGU1vocx+643GdD73QpqKpGYkwQmubLpHG6FUbnxpCVHIbHq2IyyIOWKIGv+XFXr9vffLrH4SEs2NQv41sUBJZurubKGdkD9uMTBJg5PtU/BpplkdkT0rCYZPaVtbJmZx0AdqfHZ5AyAB6viqJohAWZfCX7fctJAgxJj8Du9LB2Vx1Wk8zFUzJoarfTY5eJDbf0m5QVBAFD36TM0eKfoqgYBPzvHes+1u/4OLw0tg2cmfbZxkr+ds803lh6cMAY9KoZOZhlAa/3DA48dXROMWesAARwxx13cOONN/LrX/+aOXPmsHHjRj788EP+9re/BSxXUFDApZdeykMPPeR/beXKlTgcDvbs8ZUVLV++HJvNRlZWFllZWf/T/TgXkEWBMfmxA/b/ABidF4NR6m9ZeRiTJDB/auaAPTNEAYZkRPLWUSmjmuZroJebFDpggGL3qESEWvjbK9sCmjRrGqzZUYfFKDN3Yjo/eXQNAHdc7muk+/PH1/mX3VfexuebqvjR9YU8+c5ubpyTz+7SFn55yziWbq6ipLIdTYOU2OCAlOPD9NjdtHe7iAm3MG1UIiuPcmWwWQzcdeUI3lp+iPy0CG6dP5StxY0MSY+kodXOY2/u7Lc+URQIDzHR3OYIKNlyeRQa23oD3DWOpiA9ol8vmsK8GOZOTMPtUbFZDAENho8mISrojBZ/ALrsHpZvrWHi8ATAFyx5vCqpccEkRgcxZ2IaDz27GaNB5OaLhw66nuzkMH+DZvDNIN7fZ+e+r7wNUYT6Fjsfr6vwf6a0tpOHX9hKWJCJO68YQXVjNzVNPbz6eQl3XjGCx97a6c/0At9vNWNMCpqmMWF4PFv2N6Jp8OjrO/jz96YwcXgCVrOMqmqU13Xx0LObjrvN4JvlPZUcOwN4NA1t9rPWjcfrVRmdE83ciWl8sr7Cfx1ZTDI/vbEI60luwq2j803Q3u2irtVOYW7Mqd6Uk0JilA2PolLV2ENGwuCN688FNEXl8vOyae5wBDiahgebeOCWcZhE4aTeow6LHIrmmwCbMCyeP7+4hTsuH0FFfRepccHYXQoF6ZHER9qob/XFLaIoMH9aJg8+s9EvgngVjaWbq7jj8hF8vLachXPyMBoGNvUAn+OYw+nlX2/swO70cvl5WXy6sYK65h5+vmgsK7fXsGV/I1FhZlRNo7S2g1G50YNmpo/IjmLvUfboa3bUcu2sXPaWBVqm17f2YjHJtHe7mD81kw9Wlx4RrAwS37tqJMEmCa3vRVVRuWhSGnUtdl45auLwi8RKSRK4cJwvdjg8orpU+MUTawPiwi3FTUwZmUhafAhb9jdy0cQ0v+OWgkBjm52lm6tRNZgxJpn4SCvSVwgC7c7BxTNNA4fTy33XF/LP13b4S/MEAeZNTGd4ZqQ+OaKj8zU5owWgoqIi/vWvf/H3v/+dN998k4SEBB588EHmzJkTsJyiKKhq4M3iN7/5DbW1Rx64f/7znwNw11138b3vfe+b3/ivgCSJuBQVVfOJHmZZPGNugopXZcKweN5dVdovi8dikpk3Mf24MwaKojJ1ZCLFFW0Bdd2yJPCdBcNZvKGynxBhMkkMZFMliCJLNlQwpiAuQPw5muVba7hw7JEGrDHhNn739IZ+yzlcXl79/AA/WzSG/36whyGZUUSHmbn2wlwEQcBoEPnRDYX8+v82BJQVRYaayUgM5aaLC3jov5uYPy2TX906nqZ2O+HBZuKjbHT1ulgwLZNgm5GfP74Wl1th4ew8FkzP5NXP+zfcu3BsCluLm8hJCe/33htLDw7orhEXaWXRvAJsZgM9Djc/vqGI2HArFrPMQ89u5OaLh7JoTj7/fvtIlkKIzUhYsIkhGZGYjSKDppecAciyyJZi3/nU1uUkLtJKZ48bQYCbLh6Cy63w4qfFfTbq4FVU0uJDqKgPrNcXBF+vgIRIG5NGJDBrfCrpCaE0tPbypxe24HIr/OCaUTzzwcDZLh09LtxehQ27fbN5jW12th9o4u6rRtLj8OBVVEKDzByq6eDPL2zhR9cXcX5hMn98bjOiKPCteQV8vL6S2HAz44cm8P1HVvjX7XIrg5YZpsWHYDXJ/ezeBUnA7dXQAKMkIGhfz+53MCQBclPD2VPaOuD7o3OjT4seJ98UoqZx+fRM5k1Kp7a5B6tJJjrcgvEkP1jp6HxT7C1vQwBS44JP9aacFGL7rOwPVHec8wIQgKSpfHfBMHpdXhpa7YSFmAkPMmIQvpxboygKeDXwqhpCX9yqfEHcapJFzitKRkCgo8fNH57bzOSRCUwdlUhtUw+aBj+6oZBlW2tYvb2GgvQIthU39cuAWbOzDg24+9pRPPDkeoKtRq6ZmcNfX+pfBpaTEk5Hjwu700thXgzZyWH+volN7Q4OVnewoK+R86frK7hsehZhwSY+WVfRr0+SzSwzaXgiH6070vagucNBR7eL2RPS+HR9hf/1xRsq+Palw3jwmY2cX5TC/TePo7XT5y4WEWImMcqG1vf8IkkibkVDEgRKKgMnUzt7fJOJA5UUx0fZkCURs0lGEnyOuqIk8u6yQwNOCq7eUcuk4Qn847XtTC9MItgooQoCT72/l417jxiFrNxeQ2FeDHcsGDZo+4bBCA8ZvHWAQRYJDzGTGGXl7z+YSlOHA4fLS1J0ECZZ1C3gdXROAme0AAQwY8YMZsyYcdxlSkr6l9csW7bsm9qkbwRVEDhQ3cFzH++nvqWXEJuRS6dlMm1kIoJ6ZjwgWWSBP9wxiZc/K2Hd7no0TaMwL4ZFcwuwyF/8wCOqKrfNH8q1M3MprmwnyGIgLNjEe6vK+llqmwwSCVFBiJKAsy/YMPVlGKnAiOxoSmsGb8DqVVT/A3NMuIXapp5BdY4DVe00dzhITwwjPNjMg89soq7vN5o5LpWC9Ah+tmgMHT0uapt6SIkLISrUTH2rz8r+gVvH8+yH+3h3ZSnRYRYmDk8gKSaIdbvqyEwM4z/v7sbV15elvctJdko4t1wyhPdXl9Hc7iA82MTcSekEW428tewAo2/pX+5V39LL0+/v4buXD0eSRKobu0mIsvmtuV/6rJjNexuJi7RxXlESyTFB3HXlSKJDzKT0lRJ9uqGCWePT8HpVOntcZCSGoqic8Q+rkuibOXtnxSFuu3QYAC8vLuFQTQc/WzSGksojPZCeeX8P9y4sZOPeBlZsq8HlVshODmPRvAI6e1zc/chyzCYDLrfCL24ayxNv7/L/dseWhx1LVUM3LZ1OwoJMXDotk9y0cKobukmND+GjNWWs3VWPomqYjBJxUTa2lzRx8yVDiI2wsWFvHZNHxJMYHURbp5Npo5NYu7MOr6Ly1vKDfPeKETzy8lacR/X3CQ0ycu91o5GFIxqeKAo4FY1XPy1hzY5avIrGiOxobrqogFCL7J+FPFmIwI1z8vnJY2v6CbgRIWby0yLOagEIQFA1LJJAdnwIoKFpnPTjrKPzTbGnvJXYCKtPSD4LkCSRxGgb+yvbmD3u67nwnS0ImkaQUSI/JZSwMBvt7b1favJREwSqWuw888FeKuq7sJpl5kxIY/b4NCRt8M+risoV52VRXt9FkMVAdnIYF45N5Z+vbWd/RTtGWWTa6CRmjE0hKzGU6DAzby4b2OQiOTaYJ9/eTVevm65eN1v2N/HrW8fz3Mf7KK/rwmKSmTU+lWmjk9hW0sgvbhqL2Sjxn3d2+9cRE2Fh/NB4JNFXsrVonm/iTpJE7ru+kI/WlrO1LwYtzI9l3qR0nn5/NxdPzWTltiMTzc9/vJ+Lp2Twq1vHU9fcg9koExNhoaaphx9dX8Rbyw6ydHMV0WFmpo5KYmhGJKKmovUdy/3VnTz/8T6CrEaGZ0UF7Odbyw9x+2XD+etLW+l1HumRZLMYuPe6QnYeaGRkbixeTUBEw62orOjLVh6IbSWNFKRHsHlfI7PHJrOnoj1A/DnM1uImiqs6GJYWfkJjtVkWmToqkVVHZb4f5pIpGUSFmrH3ujAIkBRhAQTfJJQu/ujonBTOjhH7LEeSRLYfaOZfbxwp++nqdfP8x/upbOjmxlm5Z4QirigaFlnglosKuGF2HgAGSUDQtC8tIIiaRqhZZmJBLIIA7XYvxRWBMyGiAN++dCgeReXzTdV8trEKVdWYPDKRS6dmIKoa//feHq6bmTfo98iS6B9nBEFA+QKRzSCLRIaaA0qzunrdvLnsIOOHxpMcG4RBEpk4PB5ZkrjrL8v9tegJ0TYWzvJZ1QuA3eHBKIsMyYjCIIsBMzrNHQ5UDQ5Vd3DF+dmE2kz0Oj0s3VzFvvI2hmdHYTJKA2ap1DT1cLC6g7BgE+OHxlPT1M0Ha8pYs7OOe64dzZoddVQ2dPHsh/u4ZEoGC6ZmoCkqAjA8PYLk2GB+dYxjQ0y4hd98ewJmSfhGMkS+abxelaL8GF74ZD8NrXa2FTdhMIiDpnX3Or38/r+bGDc0jj/dOZnWTifNHXb+/eZOv+uW2+sTeSRRCPjtXG6FEJtxUBEoNS6YkbnRGGWJ5z/ex7It1eSnRbC/op1VO+r8y80cl8obS0q4ZmYuBlFEUTUum5bNJ+sq+Nsr21FUjYnD4nnw9on847XtVDZ08+ayg/z4hiKqGrtp73KSkxJOVmIoZlkIaNrqVuH+J9cFzAruPNjMj/+1mkd+MBXrSS4X0zSNqGATv7l1Ak+8s4u6ll4EAUbnxnDLxUNOeonB6cyZeP3onNt4FZXdZa2MzIo+1ZtyUkmJCWJzcROKqvonCHRO7NlbkkTKGrr5zdMb/a/ZnV7eWn6IA1Xt3H3VSERNQ5ZFXF6fyHF0VrtJEshODmXh7FxiI2z89qkN/n4wbq/K55uq2FvWynWz8nh7RSnx0UH9+gKBrzH00T0WV26rYdqoRKaPTuLqC2x4FIW1O+t4+PktGGSRhtYDfP+aUbT2ldFPGBaP0mdVnxBlQ1E1Xv2sxD/e/+n5LZxXlMyPbxiDIPh6720/0ExSbDDNbXbOK0xi+dYjQssHq8soqWjjp4uKqGnq4YH/+FxFY8ItzBqfxpUzcvAqKger20HzTQhIksjWgy388/UdAMiSnWsuzAnYz/qWXl74ZD/3XDealnYHtc09xEcFkRht472Vh5g6OolnPthLYnQQV5+fBRoMz4okNzUCRdHYtK8hoAeRomqIooCianhV+HBt+aC/9Ydry8hPGc2JFGsLmsaNc/KJDDHz8foKXG4Fm1nmsvOymT46EZNRxt7rizV9550+PuronEx0AegMwKmoPDdA7xvwDWZXnp910h/Mvik0DehrFgeAqn2l27qiqIiiQFuXgx9eN5rSmk5KazuJDrMwOi+GzzZWsn53PYnRQf4H7k/XV7Bhdz2//vZ4qhq66ba7SYoJGrAM7MKxKf4+Os3tdlLiBk8FT40LJshs4M1lA9tWbthTz8xx4/jTC1vISQ2no6/vz+EAoq65lz+/uNW//BXnZ2MxSUwYHk+PPdDtYltxE7+8eRyfb6zk8QGax87py9C568oRvLS4mB0HmtE0X0bU7AmpRIdbCQ82oaEiCL5+Nb1OL3vLWhmWGcXu0hYAPl5XztyJaRj7fieHR+UPz27u16+lqd3BX1/exk9vKDxhu+7ThSCTzKXTMnl3ZSk5KeE88c6R41rf2ttPTFNUjXW76okMtdDQ2svmY6xmDyOKgeHQsq3VzJ2UPmDD79AgI2kJIdidXpo77OSkhPPG0oNcMzOXZz/ylY0ZZZELx6WSk+zLNDOKAqgqIPDAf9YHNFT8fFMVm/Y18PvbJ/HLJ9dxoKqd3z69kVnjU7l+Zi6K19fk8mjxR5JEtpY0D5gS7vaqvLnsIN+ak4d6sl1+NI3UGBu/+fZ4XG4FSRL70rzVc0b80dE5E9lX0YbDpZCbHHaqN+WkkhITxOpd9VQ0dJOZMLgdvM7guPsm2gZid2kr7T1uwoOMrNhZx+ebqtE0jemjk5g6KhFZENhR2sZ7q0v50cJCnnhnd0Az4MK8GGaOSwUgNMjEgulZmI0Sn22o6FcGNtAYsnRzNeEhJv774b5+78VGWPF6VZxuhamjEpk0PIGf/XstXkUlNzWcWy4eEmBD73B5+XhtOR/3CSS3XzaM9bvriQgxk5EURniwiQvHprB0SzVOl5fzCpNJjQvGIAhs2tvoF9Wa2h1+w4/DzJ2QhiiA06vy7EdHttWraOw61MKcCb7+cYcpr+vin6/t4P6bxhJkNRBsNSIIAheOS+Vfb+ygud3BvvJWLjsvEwGBhKgglmyqwiCLTBmZyILpWfzzte043QqjcmN48u1dXHuhT5ByHccd1OlSUDWNwS1PBkZUVeZPTmfW+FQ8R7mHnaVt/3R0Tit0AegMwO70Hrd0pLqxh7xBmh2fzciyyPKtNazaXkt2chgJUTaqm7r5aF05qqphMkhMHRXoBtfR4/K7kb20uJh7rh3N8x/v85eDCQJMGZnI0MxIXG6F3NRwSirb2byvgXmT0vnomFkQWRK4blYe3Q7PoA5l4LO2tJkNOF0K764sZe7EdJ56v39wJIkCQzIiWbW9hmWba8hKCsVikv1N8BRV44M1Zfzg2lE8/d5ef5maxSRz3axcNDTaupy+8pnUCOZNSsfr9dXer95RS3FlOzPHpfLqZweYMCzBnyq8u7SF/LQIvwDkVTQ6e9xEB/ucxnqdHn/DxWM5VNOB3a0Q9BXtuk81gqZx4ZgUspLCCA02YT8qffqTdRXccslQHn5hSz/3EFGAK8/PYU9pq//3Ocyk4fEYDVLAb7frYAuThiUwZ0Ian22s9Ae0idFBfHv+UB58ZhMmo8S3LhqCxShz9QU5RIVZ+OG1o+no9omVkiQgCb5yRkVRkWWRTXsbB3TT6Oxx89nGSn564xh+8tgazEaJeRPT8Xq8A8/kCgIb9tQP8IaPHQdacF2oHRFvTyKKoiIB1sPnkKrq8306Oqc5m4ubiAgxER02eD+PM5G4SBsmg8S+8jZdAPqKuD2qf5JrIPaVt1JS1c66XUfGnBc/LebzTVX84JpRPPLKNoyyiMOlsKcvLgG4aHI60WE+A4/DJc2hQUZ+tLCIn9w4hsfe2BkQF4UGGYmNsAaMket313H3NaM5r9DDym01/hLotPgQ7l04muZ2Bz9bNIatxU38+cUtflGppLIdSTp+c/6Obhc9djd7y1pZv7ue398+kazkMNJig1AUDUXxTWxomkZMhHXQ9YTYjH4hxOFW+j0DvLuylOtm5XLfwkLW7Kily+6mID2SIRmR/OO1HQFuY7+4aSxdffGpIPjcsx74z7oAs5DKT4vJTg7jOwuGs3J7DZ3dLgrzYgmxGjFIAlNGJgzoUgYweWQCpq/Yk1Q9yhUU8Mc1Ojo63yy6AHQGYJSPr6sHWQ2ci+mRmgbhwb7A82B1R7/BKchqwHnMgzn4ZoQMskhHt4u/vrSVBdOzuG5mnm8GwiASGmTix/9aTZDVwC2XDKWksp2P11Xwo+sLGZEdzXurSmnrdJKfFs7FUzIpr+sc1EkpIcrG3Enp5KSE8d3LhxMRYvYNugLMHp/KZxsr/cGHxSRzx2XD+WB1GRdNTufB/25iRHYUC2fn8dRRM2lbi5vo7HHzkxuL8PZlQnkVX0BR3dCN16sREWJmdH4sa3fWsWlvA0aDyNRRSYwfFs+/Xt+By60wZWQSJqOEy60QbDX2O1bGowSdYwWOY3G7FThDBSDwlTL8593d3L5gWF/Zla+ssLHNzkdry3jw9ol8trGS/RVthAebmD0+jZZOB4+/vZOfLRrDmp117C5tIchi4LyiZGxmA60dDr41r4DHj2qg/fjbu7hgbAp/umsyDpeC0+2lpcMR4Pb1xFu7uGJGNvmp4Wza10BiTDCPvLyVf9473Z+RdbjW3qtqrN5Zx2BsLW5idG40N19UQFFBLFZ58OBVECAsyDTouoKsBkR9Zk5HRwffmLCluJnC3OizzqlPEgVSYoPYU97GxZPST/XmnJFIkoDUV0I0EDaLgfLarn6vN7bZ2VbSxNDMSPaXt2IxSfzo+iI0zTdGBVsN3P/EuoCejJ09bn71f+v52w+ncftlwxBFkSCLjMkos/1AEwtn5/G3V7b5Jz5UDf7x6jbuvGIE8yal0+vwEBJkoqGll017G/tl4hzG0meYcLQD2bGkJ4TyzspSwGf2UdPcjc1qQMTX3Frqu1S8XpWivBie/WjfgGPyJVMy/CVxBmng6+vlxSWE2Iz86c7JfLK+guLKtgEz0Q9WdZAUE0RpbSdjC+L4bFNlgPjjX666A6NBZMG0TOwuD9cX5CJqGopXY/yQeD5YXU5zR2CT6YgQM1NGJJ4xhjQ6Ojo+dAHoDMBsFBmSEcHesv4W6jazTEyY5Zzsi+bxKJxXmMR7q0oHfP/8omRW7+jfYG53aStXzsjm5cUldPW6ee6o1NqLp2TQY/egqL4MmIQoGz9bVER0uJWqhm427m3gposKKKvtZH9FOz95dDXpiaHcvmAYQzMjA9yMxhTEcn5hMi8tLvYLOJNHJPCLm8byf+/uJjs5nD99bwotHQ68iopBknhvVSm1zT20djpRVY3tJc1cNzOPH147mg/WlFHT1EN8lI3ZE1LZebCZVz8/wEN3TKKkohVVg6zkUP72ynZ+dcs4PIpGVUMX5xcl41VU1uyopbT2SOPrvWWtZCaGsq+8jakjEwMcqmIjrASZjwiLYUEmBGHgHgCyJGKzGE7otzvdsJllwoJMLNlczaJ5Bfz88bWoqobZKHHJlExWbqsmOsxM7rRMOrpd9Do9KIrPav03T21g3NA4LpqUTkZiKI++sdM/+3bdrFx+cdNYXl9ywP/bjcz2NW/87dMb8AwQNB22ha1p7sWjaIQFm7jqwhzMstjPKU8QBMyGwQVis1GirsXOxOEJiOrxS6oUr8LsCaks3VI94Pvzp2Z+5Vk+HR2ds4uN+xtxexWGZ0Se6k35RkiLC2HpthocLq/vwV/nhDDLIlNGJrBiW/8YTJYE4qMGF1E27m1gyohELhybwoptNby3qgyHy4vZKDFzXCo/uGY0f39te8B4pqgayzZXU9PUw5b9jdjMMsOzo8lLDUeWRB64ZTxvLz/IoZpOIkPNXDY9i6zkMFo6HKTEBnP7n5aiqhq/+vaEQWOd84qSWb6thutm5fLXl/s7iQ3LjKKxzY7LrTA8O4qLJmXw8uJi/vW6rzdkXko4t18+nDCrjKpomA0iP72xiIdf2BqQYTymIJbpo5P8Y63ZIPWLLw/jVVRcHoUP15YPOr6bjJI/1hidG81rS/q7yB5m5fZavnvZMARVDSgRN4rw4O0T+Whtub959NRRiVw8KR2T2FeNji8z3+lVUVSQxCPZyjo6OqcX+qh2BiBqcOcVI/nlk+sCrMSNssgvbhqLURLOWdeYYLPMLRcP4elj7LWHZkSSkRDKG0v7z4YkxwYxND2SyFALr35WQnOHg8hQMxdNzsAgiXyw+ki2jaaB1Wxg/e56po9OIikmmJ8+tjqgzryksp0/PLeZX906nl/933paOpzY+twuHvzvJlRVoyA9ggXTs2jpcLDjQBM3XTyE6sYetu5vJCUuhEff2OmvsQ6yGLBZDNwwJ5/oMAui6OvpUpQfy9yJ6bR2Onhr2SF/8NTW5SQ63MKq7bW8tqQEgyTSbfcQF2ll+4FmthY3DXjsJEkgKtTMpdMyfBalfWnTNrPMPdeOxmIUfZk9gNngs2Vdtrm/OHDxlAwshv7ixJmESRb5yaIitu5v4rONFfz0xjG8tfwg00cn4nR7GZ4VTWVjF6qqkZEYyrsrDjFrQho/vXEMTreXivou4qNs/PutXQGp1yu31RIaZOLmi4dgNkrsLW/lpU9LuHFe/oDiz2FaOhxEh1vISQ7D61U5b1TigMdX0DTmTU5na8nAv/G00UkUV7YxNj/mC4+BpkF4kIlrLszh1c8DA8QxBbGMyo7WxR8dHR00TWPplhoy4kMIsRlP9eZ8I6THB6OqGvsq2ijM/eL7p04gqqJy3cw8DtV0BvRZFEWBH99Q5HfNGghJFEiLD2FbSVNAjxunW+H91WVMG5XIvInpfLCmLOBzFfVdpMUFM2HYSEwGiZqmbiwmGUkUeHflIa6+MLfPLt1Kl93N42/t4rLzsmjtcrJgWhaj86KxWYw8fNcUlmyuYuW2Gn+ZWVZSKDPHptDV6yYy1Myvbh3Hcx/tp6K+C5tZZsaYFArSI/nry1sxGSQum57Fg89sChB2iqva+dm/1/K3H0z1ZfOqGlkJITx633RKazvptrvJTQkn2GJAPMp4RETjzstH8Mv/BBo0GGWRX3xrLGW1HRTlx7JpAJcuQYCMxFBe+GQ/JqNEfnpEv/6ERyOLAiIM2EvJAFw+LYOLJqaBAMbDzrp9zx+qILB+XyOvLTnob0Vw9QU5FOZGn7BNvI6OzjeLLgCdAWiahrXPQr2ioYv9Fe0kRtkYmhmJ6RwWf8D3ADxuSByJMUHsK2/D6fZSkB5JRIiZ91f3zwwalRNNQVoEgqoyJieKIRmRVNZ30dXrZsmmKkqqjlh+R4dZkCSB/36wlytn5NBtd/PhmvJ+AyP4Gvht2tvAg9+ZxP6KVowGiU/WV/jFn4smZ/CXF7fi8hxupHeArKQw7rl2FJ09LtyeIw32Zo5PRZZE1u6qo6axm/goGxdNzqCty8k/Xtve77uNBom/v7rNv11zJqYRbDOyemcdYwti2bAnMCgQBJg3KZ3zCpOobujGbJKJjbASHW6hq9dNbIQVVVXxeI562Fc1rrswl8hgMx+uLcfh8mKzGLhsehbTBxEnziQEUWDNjlpe+cwnfDS2Objz8uEYDBKPvLwtoLww1Gbk99+dxMptNSzZVIXd5WVkdjRF+bEEWwMzoSaNSGDV9lquviAHl0fhqfd8QqWAgFEWcQ8iqESHWzAZJIor25FEgeSxKbjdA5czpsYGM3lEAmuOKQUbmhlJWJCJkdnRGMRAt6/BEDWNC4uSmTgsgU37G3C5FcbkxxIebEI8jm2vjo7OucPuslZqW3q5ZkbWqd6Ub4ywIBORoWZ2lrbqAtBXxCDAr24ZR21zL7tLW4gMtTAyOwqrSezXU+9oLhybQkyElc82Vg74/uodtdx/87h+AlBWUhjjh8bxj9d2UN3Y7X/dapb54bWjkUTYfqCZMQWxRIVamD81k5c+Leauq0ZwwdgUFm+sZOnmKt+4VxDHg7dPoriilYToIGLCrX3mGT4RKyLEzG0LhmE1yRgNEv/9YC8frilD1XzZ58u2VA+4jw6XlxXbapgzLgXFq4KqYRRgSEqYz3FWUfulH2kaWGSBh26fRGVDF/uOegYwywKx4RZyUiIorekImCQGuO3SYXR0u7j7qpHkp0dgM4pcODaFlxf3N6MAmD0hzbddg6B4VeQ+/ejouE8QRT7dUMGbyw75X2vrcvL427u4akY2c8alon2Bm66Ojs7/Dl0AOkNQVQ0ZyEkIIT85rM/BRz2nxZ/DyKLAx2vL6bJ7MBp8jaGdLi+L5hUwcXgC24ubUFSNGUXJxEVakfoGV69XRUCg2+7m32/tDBhzZUnk5ouHsK+8DVEUae92YTCI/foMpcWHsGB6FhaTjCiAoqqUVLYxPDuGkkqfmLRgetYx4o+PQzUdvLOilAXTM7lqRo6vFGtUInaXl4ee3eRfrrKhm8fe3MmVM7L7PeinxYfQ1unAq2gYZZHZE9IYOySe1z4vYV95Gz9bNIbiinZ/dg/4AoKK+i6+/9cV/n22mGR+eN1oOrqdPP7WLv5456R+TcVFVeWiCanMGJPsq0vvc2w4G9J7e10Kby8/IhjOHJfKut31tHY4+/3m3796FG2dTjISQ7n9suG4vQrvryrjN09t4OffGssjL2+l2+4hJS6Y7OQwBMDj9blbHU4tX7e7jhljU/hkXUW/bUmIshEZYuaNpQfRgMLcaI7nlSeoKovm5jN1VCLrd9ejqhqj82Jxurx8uqGCe64ZdUK/kaBpBBlFZhYm9TWMVM65BvM6OjoDo2kaH6yrICHKRnJ00KnenG+UjPgQdh1qQdU0xLOsz9H/Aq3PGSotxkZmfDCapuH1qqhejeykMIZlRrL7mLKmzMRQIkIstHQ4Bu0fpGrgcisBpVqyJDB5RAIvLy4OEH/AZ6Tyj9e289MbxzB3QhoI8NunNnLr/KF8/+qReBWN3z+7iaqGI59bvaOWLfsb+c23x2M1y4iigCBIRIZa+PMLW2jucDBhWDw2i5H4SCtDs6KICrMwpiDW3yh6SEYkby07SFN7YN+cXYdamDkmOXCfVI3j9fI8/AyQnRRKcmwwnT1u7E4vokXGJAkYTBJ//O4k9lW0sWlvI1FhFs4vSiLYLGPo2x5F8U3snTc6iVXba/s54I4fEkd8pPUrjfcuReXdlQO3Y3h7RSnnFSZjOnPbROronHXoAtAZhqpqqOrgdoznIoKmsmheAT9+dE1As+JnPtjL3ImpLJqbj4iGx6P2G9g0TWNPaQsP3DKeNTtrqW/pJSUuhAnD4nl7+SHGFsTSbXezr7yV2IgkwkNMfjeJIRmRXDw5gyff2eW3RzfIIgumZ2E1yUSEmDEZJVo6HP3En8Os2FbDxBHxjCmIJTzETGp8CA88uW7AZd9dWcpPbizyC0C5KeF8/+qRuL0KD94+EaNBoq3TgcUks62kCU2Dx9/axfevHklxZTt7y1rJTg7DIIks3hA4s+Zwefnjc5v52z3TGJ0bg1GAgWIvZQDHhrOBLrvb/xsZZBGjLJKVFMaby7YELHf1BTk0tPby/Mf7/cuH2Izcdukwlm2p5v1VPmcOEEiOCULTYMLweDbsrqeupZdf3jyONTvraGzr9VmfelSWbanyH+uspDDuvnokn22qYvP+Ri4cm0J2cvhxZ+QAJE0jIyGEsCATOw42s2lvAxOHx3PPNaOQjysfDY5e7qWjo3Ms+yrbKa3t4vJpGWdd8+djyUwMYXNxExX13WQkhJzqzTljGShulTSN7185ktK6ThZvqETRNM4vSsZmlpEl6Qv7LpmMkl/8CQ82cftlwxFFgc2DlJZ12z14VY0Nu+uYNDKRGWOSGZIRQWV9F43tjgDx5zAOl5f315Rx7YW5fPfhZVxzoc/1c3ReLOkJIazcXktFfTder8rcSWm8v6qMB5/Z6B/P46NsfPfyEfzn3d0BjmhRoWYkQUA5wZFZFQQ+XlfBOytK/eJYdLiFn904hoggA5KmMTIjktHZUaD5+mSianiOOfYy8MDN49hT1sryrTUYDSJzJ6aTEhPknyA9Ubp63QNmx4OvT1G33Y0p6OwsF9XRORPRBSCd0w5JEhFFwT9j8UVoGgSbJB65eyofrytnW0kzwTYDC6ZlkZkQgneA0pnDmGWRIIuRPzy7iTEFcWQmhtHYbue3T21AlkQumpxOY5udUbkxaAjMGpdGcYUvs+fK87N56NlNAWU8Hq/K60sO8P2rR3Lp1EzeXVVKR7drsK/Hq6hEhphpanfg8Sr0Ojz+mvNj8XhVLCaZn944BqNBpKy2k6ff38Mdl49AFATu++dqPF6Vn39rjD8wqm/t5bdPb6QgPYKMxFCGZETy9AD28+BrorhuVx3zJ6fjcHi+6LCfNYgGCVE4co5Eh5kJCTIii4Fp6pGhZtISQvjT84GiUFevm7+/uo37bx7Hg89sZOHsPOpbeul1eshIDOWzDVWs31OPyShR29zDjDHJdPW4aW63MzwrinmT0mjvdmExybR3u/jtMxv9jmCTRyYSEmQ8bvNm/36oGrGhJmaNTcFiMeJ2unG7TzTE1NHR0RkYTdN4b005cRFWMuLPfkEkKSoIq0lm24FmXQD6BpDQyEsKJe+qEXQ7vazYWsPw7Gj+8ep2LpmaQWZiaIBxxWGSYoKIDDFz/01jsVkMhIeYMcgCpTWdxzVEqW7sZsyQeBpa7dS39LKluInuHheHavp/x2G2lzRz1YwcALKTw2nrcqFqGn9+cat/mWCrgaWbqwP6FQHUt/Ty91e3c9uCYTz8wpG44eLJGagnWA4lSSJbi5sCSqwAmtsd3P/kOh6529dXSFFUlC+YI9Y0XzZRYXYUI7OjEH0v+vr89JlKeL39J0yPx2BOuF/2fR0dnf8tugCkc9ogigJORWP/oRYOVneQkRjK0IxIzJLwhQ/AqqphEuHyaZksmJqJJIs43QpeVcMkiYPWHquKyvypGVTUd7F215HSKrNR4vtXj+Lt5b7BdmxBLKqm0dHjYs6ENCrqu9hT1jpoD5f3V5Xx7UuHkZsSRtpxAuXocAuSJPLUe3tobLPzi5vGHnc/NRX++PxmCvNiuHhyBl5F5e3lh8hLC+fhu6bw4H834vao2CwGeo8ScfaVt7GvvI281AhajrHxPJq6lt6zflb3WFwelZqmbjKTQpk5NpWoMAvr99RzfmEy0eEWvxhzflEy768qG3AdXkVjy/5GivJjqWvp5ZGXt3Hj3HwWr69EE3zNmL1elWWbq+nu9TAkI4LiyjY8XpWIUDNeVeX+J9b5Z/VEUeDb84eSGOUrWfyyYZiiaMiChsUk47QPLjzq6OjonCjFle0cqunksqlnf/YP+O7DmYkhbClpOicynk4FqqohiwLNbXaMRokVW6pp63JyqLqDu68Zxe//u8mfdQ2+iZi7rhzJ9oPNeLwqxRVtbC9p4rYFw8hKCiPIYqBnkAmsvNRwnvton7/sLCMxlPZuJ+bjZBtZTBKHf3a3V2HCsHh++/SGgGWmjU7iyXd2D/j5jh4XDpeX8GATnT0uvnXREMKDTSdcZuVSVF4dxL3L7vRSUtnOyMzIE8rKPrysCiCK9Li9rNtag93pZeyQOGLDLV86I8hmNhAXaaWh1d7vvfgoW4Cr7NfBV4onoKrqOel+rKNzstAFIJ3TAlEUaLd7uP/J9QHChcUk89vvTCAu1BTYlHgQNE2jo9fDU+/vYV95G5IoMHF4Agtn5Q4qJEmaxg+uHklHr4e9ZS1YzQZCbEbeXnGIksp2bpiTT3yUjYOV7eSnhTN5RDySIPZzHjua+pZeLCaJsUPiiY+ykZUUOuAs041z8lm9vdYf4HR0u4iNsAYEPIcJCzYRbDMyMjuaKSMT+d0zG/2CwSfrK4gOs/DD6wr5cHUpl07zNTc8FrdXIT0htF9fm8MUpEfi9Z47JYYGg0Rbp5N3VpTyo+sLefSNneyvaAN8vaWunZnLP1/bAUBUqIX6loFta8H3m08bmUhxRRv3XDsKh0th24FmwDeLCHDDnHzqWnr41f8dCSA/XlfB2IJY/n7PNHYdasFilslKCiPMasDr0TN4dHR0Tj2apvFuX/ZP5jmUDZOTHMbusjaqm3pIiQ0+1ZtzVuJRfCKB2Wzg7WWHGJIRydghcfz+vxu5dmYekiTQ2GonNtIXS/3p+S1U1HcFrOOJt3fzzx9O57pZufzn3f5ZziOzo3F71YCeQ3UtvSBojCmIY9mW/g6nABeOTaW83he7BVsNHKjq6Cc8GGUpIG49lo5uJ9+7agRxkUGYJAHhKygXqoa/wfNh572uXrf//fK6TkZnR31h9k+/9QoCTo/C2p01vHKU++f7q8soSI/gh9eOQvwSGchGEX564xjuf2JdgAAXbDXwkxuKMBxlFf9VEEQBl6JxoLyNjh4XeakRRASbdHcxHZ2viJ6Tp3Na4FHhzy9u7TeIHu5N0+VUj2tdeZgel8KPH13DvnLfQ7yiaqzeUcsvnliH6ziDj6hpRFhlpo5MICMxhNLaTiYMi+df953HeaMSMYsCIzIjiQ0xIam+LIvc1PBB15cUE8TuQy3898O9/PqpDdw4t4Dpo5OQJd8lFx1m4b7rCslOCeftFUdSet9dWcptlw7DbJQC1meURe69bjSqpnLjvHz+/ebOfg0SmzscvLXsADERNgC+dVEBYcEmAEwGiZnjUokOs3D97LwBtznEZmRkTpTf+v1cQJIE2rqcFKRHsGp7rV/8AfhgdTlp8SHccdlwosMsNLXbSYwZvOlpUkwwQ7OiGFsQy2cbKwkPNnH0hHFokJHocAtLN/cPNDfta2TnoRa2Fjfy1rKDyKKAd5C+UTo6Ojr/a/ZXtnOwppOJQ+POqUyYtLgQrGaZdXv6W2zrfH1UQeCdVaXc+ZcVBFsNqJrG/KmZPPbmThrbHPz91e088dYuVmyr4cm3d/H4m7soyo8dcF2vfl7CiJxo7rxiBOEBsU8KN8zN57mP9gUsv3ZnHeeNSibIYuCiyen91peVFMq0UUm8+LFvMm1Paas/hjsal0fp5wB6NJlJYeQmhWIW+UriD4AoCMyemMoDt4zjhjn53DAnnwduGceUkYkAZCSGnXBZmSqKPPPhPupb7QHiz2H2lbexakcd0pco31JVjTCLzF+/P5UfLSzkivOz+dH1hfzle1MJs8hfqox9UESBsoYe7vrLCh55ZTvPfLCPHz+6hkde3Y4q6I+xOjpfBT0DSOe0oNfpDWiSdzStnU4aWntJjgk67gkriCKvLSke0HqztdPJ7tIWxuREHzdFVvOqRFgNXDQ+FfA5VqCqaBBgo+1VITc1HJNRwjWAYDJ/aiYvLS72Z/L87pmNTBmZyH0LCwmyGlBUlehQi8+V4agyss4eFzargftvGseeshZqmnqIj7IxPCsKk1HiX6/v4LLp2YOWnm0/0MzsCek89OwmCtIj+Na8AlLjgmlotbN2dx0PPrOJh783mR9eO5pnPtzr70+UlRTG964aic0g+RoHniN4PAqaBjPHp/LgMxsD3lNUjWfe38s1M3O5cW4+VrOB4VnR/Kpsfb/1GGSR8wqTuOfvK5g4PJFLp2Zi7uvX9J93d9Pa6WTckLh+Vu1Hs2JrDdNGJ5KbEo7FIOoOfzo6OqcFmqbx1spS4iPPrewfAEkUyE8JZ/3eBq6YnjmgAKDz1RBFgbL6bj5cWw7Apr0NXDAmmW67OyCu6nV66XX6HKt2lbZw8dSMAdfndCt8tqESt0fl19+eQGunA5dbYe3uOnYebO43wSgIYDCIPP3+XkblxvCzRWPYsr8Rl0dh2qhEgm1Gqhq7/C5eby4/xMN3Te73vcu2VDN3YjqvDVCiFRFiJjE6KCB+/CoYJIHEqCB+/99N/sk/SRS4+sIcrjg/m9zU8BP6DkkWWb2jDo9XZfO+gRtnA3y0tpzJw+MxySIeRUMSfQ4hA5WwqaqGQYAhqWEMz4hAUdS+BuAnvr9H4/JqPPTspn6TnvvK2/hwXTkLJqefNYYkOjr/K/SRTOe0wPMFN2+XR6G1y3ncZdyKyu7SlgHfs5llrCYZTRTo9Sj0eFRUQRgwq0jTwOtVjuuC1O308sz7e/nJDUVEh1v8r5uNEjfOzSch2hZQxuXxqmzcU09ZbSdWs4zLrdDc6cRklBiVE+1fbv60TJ79cC/3P7mObSXNaBrsLm3hl0+u599v7uKeawvp7B28t4um+azoAZra7ZiNMk+9v5c/vbCFNTvqmDQigfdWlZGbGs6f7pzEI3dP5Z/3TucnNxYSZpHPKfEHfKJeekIIbrdCr6N/s/A9Za089uZOjAaJqL7m0HddOQKr+YgUGRlq5r6FhTzzwV46ezx8sq6C9m4XK7bV4PYoLJydx88WjWHmuNTjponbHR4mj0ggLsKCLJ07M+w6OjqnN1tLmimv72bqiIRzKvvnMMMzI+m2e9i8v+lUb8pZhQq8veIQKbHBnF+UTHOHg0umZgS4uQ7E0UKHxSRzxfnZ/PLmcVwxI5tpo5PQNI1fPL4Gu9NLR4+LHrsHp9vL+KFxAeuZPSGNN5Ye5GB1B68vOcDfXtlGR48Lr1fljaUHCbIY2Vrc5M/k9XpV9le0cem0zID17DzYTGSomUunZQaM3alxwXz/6pE0tPR+qQz2wRAEaOp08vT7ewNEEEXVeHlxCSNzojlRXdLlVXlvVRkmo4TdOXhc0uvwoGoCH66r4J2VpazZXU+nw4N2nPuAqmp4PMrXy/rpQ5JE9pS19BN/DrN4QyVO3bFUR+eE0TOAdE4LQqxGTAZpQLt0WRIwGyW67W7iQs2DNs8TBYFgq5HOHnfA69fMzCUvNZwVW6tZvq2GEdnRRISY+XR9BbddOpQgo3RCA5UkCVQ2dLFgehZdvW5uu3QYJoOEQRaRJZHXlxxgRHY0ZqPkd/QKthq4d2Ehby8/xOtLD/Ttl8il0zJYNK+AvWWrcXtVMhJC/b17DlS1c6Cq3f+9FfVdNLfbiY2wDrpt0WEWkmKC+MvdU2hosfPyZ8V+e9PCvBimjU5k6eZqJBFEFcIsfbcAVTthS9KzBY9XZcX2WoZlRbJpb/+ZsPqWXtq6nFTUd1KUH0e33cOvbh2Py63gdCv0ONy88llJQE+CD9eUc9uCYTz+1i5qm30zl3lp4YzMjmZvWWu/7yhIj+Cmi4bw+aYqDlR1kBoXzPmFyViNeiaQjo7OqcPh8vLykgNkJoSQeo72wIkOs5ARH8LHGyoZN2Tg8iOdE0fV4PLzs6lr7mHXoRZsZgPNHU5G5cQM+pmIEDPuvjjRZjHwo4WFvLOylDeXHQR88eKs8Wk8dMdkGtvtGGQTV56fRWSoBRBYurma9r7M56GZkby3qtS/bqdbCciG6eh2ER9l44/fnQyCL2Y7WNVOUnQQP7mxiE/WVtDe42JYRiTpCaF09Lj46aIxeLwqBlmkvqWXf762g4gQMz9fVPSljsmALlyiyDsrDg36mfdWlnLx1AxSo2wnkAkj0NnjorSmk0umZgyanTwyJ5odB5oYkhHF1uImdh5sobXTyeQRCUQGm9C+4cwbQRBo7hh88tfh8qJqGpyDwrSOztdBF4B0TguMssA1M3N47qP9/d6bMzGdNTvrWDAt87jOCSZZ4JIpGfz7rV3+166akUN7l5NfH9V0d/O+RhKibHz70mE88J8N/OG7kxi8ensgBNITQvj9fzf1czyYOzGN5Lhguu1ufv6tsSzbWs224iZuuriAZz/cFyASeBWVN5cdIjTIxJ++N4W3lx8asHztaFxuhZqmbsbkx7J5f3+x4lsXFfDa5we4aV4BXq/K9bPz6XG4iQ23YjUb2LSvAYtJpqSqg6ykUEziFzusne24PArLt1Tz82+NYXtJc0BJHkBClI2UuGD2lXu49x+rAJg2KhG3V2X97voB19nc4cBikgMc14or2rny/BwiQsy0HZXNlhQTxKXTsvjF42v9pX1b9jfy7spS7r95HOmxNtSvmT6uo6Ojc6JomsYLn5XQ6/Ry9fnJp3pzTikThsTy0pKDrNlVz/mFSad6c84KVOD/3t0dEEet2FbD/KkZfO/KkfzrjR39PnPzxUNITwhmzoQ00hNDeOGT/QFW8V5F46O15WhAj93Nqu21APz0xkI6etzcfc0o1u+uZ+PeBlSV4zpJtXc7SYoO4u0Vh9i8v5GYcAu/u20CmqZhliVykkJRVQ2jQeLRN3cNGJOBLyNGUTSkAd/tW0YQ6HF6Wbu5GofTl60UG25FQkNRVX8Z2kA0dzhwOD2IovClm0BLgm9Sam9ZG8E2I4nRQf7JqsMYZJErZ2RT32IPMB3Zsr+Rj9eW85vbJpAQbvlGy68URWVoRiSvD/J+cmywryxTbwato3NC6CVgOqcFmqIydWQi37tqJHGRvgyX6HALN188hOgwCw6XB9txrDrBN2MyOiea8UN8ab4mo0RmUiiLN1T2W7aupZdNexvISQmnrLbzhNJzNeCTdRUD2l1+vK6CEVnR7C9v4+EXtnDZtCxunJtPTJi1n2vFYV78tBhZEpg8IoHocMtxt8VklHj18wNMHZ3IlTOy/W4Q6Qkh/PrW8ZTXdbF5fyMur0JUqJn2Lgc7DjTT0unkvn+u4pXPSli8oZI/v7iVn/17HXavek6m9B+N2Sjj8aq43F4e/M5ERuZEIwi+5pEXjE3htkuH4fWqvLz4iKtaXUsvGQmhg64zIzGU9i4n6YmB/TKefGcXd18ziqmjEpElEVEU+Na8Ap56b3e/vk6KqvHXl7bi8uqBjY6Ozv8WTdN4f20FG/Y2MmtMMqF9Y825SmJ0EEPTI3h92SFaOo9fjq7zxYiSyDsrSgeMo95bVUZyXDDXzcwlLMjXzDk1Lpif3lhEflo4r3x2AKfLS3JMcID4czRLNlYyaXiC/99N7U4+WVfB757eSHevm2svzCUy1IzxOA2OzUYZSRLZvK/B199GlkDzzZx7vQqC6hN1BE0jL21wU5Cs5FAM8nFKpgRYsqWaH/xtJW8sPciHa8u5/8n1/O217SiCgCyK5KaEDfr5jMRQwoJMJyTESAJ8a24BouAT4W6dP5QLx6ZgMvps70flRPPwXVPo7HHzn3d39yvBcntVHnllG+5veAJR0zTiI6yDOvDdfFEBxq9RXqejc66iZwDpnDYIisro3BgSomz02D20djlZvaOW7OQwbrl46JfykBQ1jdvmD+WqC3Opa+5m58HmQZddtaOWWy8ZyoGqdoamhaOqX27qxK1oLB3EMhR89eDjh8WRHBtMRX0X5XVdOF2Dr9vlVnB7VJ56fw9j8mOZOjKRFdtq+i03fmgcu0tb+4SBbQzLjGLRvAKsZpnwYBOSKPDmsoNkJYUBAqKqMT4/lhHZ0dz9t5X9BvC2LiePv72LH1w1EuEc1hgEYM6EVIJtJpZvrebambnMGpeKomps2FvPcx/vY/KIxIAJpoPVHVw7MxebxTBgX59rLswhMtTClefn8Lujmks3tTv4/TMbuWBsCn+/ZxqyLOJweged3etxeOjsdRMVdG4/fOno6Pzv8Coqryw5yPLttUwZHk9BWsSp3qTTgvNGJVLd1MM/39zJn78/9VRvzhmNW1EHtV4HWLW9BlEQuGFuPlazTHevm7T4EBRF4/rZedS32mloHdg4BHwChXrUoO1yK309EjXW7a5n3e56po1K5MJxqXzU14T6aIZmRlJR34Xbo5CeEEppbSeL5uZjlIR+zZa9XpVJwxN4c9mhfv2LBAEWzspHEnwZTwPR2evh1UFcuNbsquP8UYlcNDmDzzdV98sSlyWfAUV4sPmEsrlVVSMy2MRvb5vIf97dze//u5Hxw+L5+aKxxEZYMMoibo9Kk1cNsJs/muZ2Bz0OD6Hmb/ZRUhY07r95LK98VsLqHbV4FY34SBu3XDKElJggvQG0js5XQM8A0jmt0DxekqKsJMcGUZAewV1XjuDyaRmIJ2AjIIuQnRzGmLwYPJ7BP+fxKMiyQEpc8AmXQR1bJnQ0vU4PXkVDlkQ0NMYNiSM+yjb49koCRoNIc7uDTzdUUpgfw6zxqRj6ZqZkSeDCsSnMGp/GB6uP1KvvLm3hX6/v4OEXtuBwKf5ZyflTMzD1zTapqkZdc++ATmUAuw+14jzOMToXcLq9XDA2FVGAIIuRrl43f391O395aStrdvjq4t0D9KZ69qN93LewsE9w8xEZauZH1xcSGWrh5c+KWbe7nruuHEFEiNm/TGp8CLPGpxFqM2BE+0Lr1q/rHqKjo6PzZWnpdPCHF7eyamcdM8ckM2FI3Bd/6BzBYpKZPzmd2uZe/vLi1nO+fPrrIeDxDj4xpqoa8VE2dh1spsfuwWySae5wYJAEZFHg43XlBFsHnxiRRAFJPPKIc6CqjWmjEwOWWbWjlvSEEC6ekoHJ6CvQEkVfNvb8qZm8vuQAbq9KaLCJe64ZRVpc8KBig1kWeOiOiaQf5ZIXHW7hgZvHkRgTNGiFktEosWRz1aD78fHaCtxeDatB5MHbJ5AYHeR/LyHKxk8XFREbYcX4VZ7mNI3kKAu/vHks/7hnOgtn5pEcbcUkAoqKQRrYKOVoBmvOfDLRNJA1jRtn5/Lofefx6H3n8dtvjyc7IQRBL/3S0flK6BlAOqcdHreCUQCjQfT/+6vgditMHpnI54MMroX5sRyobGfepBOzkJRFgTH5MWwcoGEwwLDMKP743Gb/rIkoCjzyg6lEh1toHiDTY9roJHrsviwSVdX42yvbmdpnGS8KAnGRVsxmifYuN6IgwDHNmi+ZkkFNUzcd3S4WzSsgKSYYWRBQ0BAEnyB1PLxeFaTjVaef3djMMuX13ZTXdTJpRAKvflbMwtl5PPPBXgBqmnq4blZYv89VNXTzr9d3cO3MXG6LG0pblwuXRyEjIZRtJU243AprdtRR1dDFDXPysZhkRFGgrctBa4eDCJuv81SQxTBoJpFBFgkPMX2j+6+jo6MDsL+ijX+/uwdZErnugmziIwefuDhXiYuwcumUdN5aUYbVJHH9hTnnfBn1V0EWBYryY9k0iAV5QXok63fXoWrwxtIDuDwKf7xzMqgqEnDb/KFUNHQTG2ENcFw9zMThCWwtPrLuvLQI8lIjSIiyUdfiyxzSNHjszZ0smJbJI3dPpb3bhdPlZcv+Rh5+YQser8rEYfHMGZeKySCgHGfiT1U0wq0GfrFoDA63gqJqWE0yNpOExSTjtA/s3qpp0DlIhg344jcNDU2F+DAzv7l1HL0uL6oKFpOE2SCiKdpXFiMP9yayHC5RUzV/hCkJPpHJKIv9StTBFzsFW06sg+bXQVM037OB7IuD9ckxHZ2vji4A6Zy1aJpGQqSVgvQI9pW3BbxnMcnMm5iO2Shilk6sEbKg+Zor7zzY4nf5OsyQjEh6HJ6AlFlV1WhstfOrW8bz+/9uov6otOUxBbHMHp9Ge7eTjMRQymo7UVWNFdtqWLGthiCLgT9/bwomQSAqzMxvbpvAks3VHKxuJyLEzPlFyTS12xmSEYXboxBqM2KWBb+gpaoaafGBfWiOJiLEjMV07oo/ACZJ9AUyViO1TT3MGJPKnrIWfrZoDEs2V9HYasfp8jJ1VKK/oeRhOntcRISaefmzElLjQhiVG81vn96Iw+Xloe9Owu70sreslX+8th3w9TG4+ZKh2J0e/zlnkgVuu3Qof3tle79tu362L+UcfaZZR0fnG0LTNJZtq+WVJQdIiQ3m4olpWL6g5965TFZiKJdOy+TtFYcIsRqZPzn9VG/SGYegqdwwJ5+dh1r6ZSgP7Yuj1u46YrLwo+sLsRkkvH1ZQxIa2Ymh3H/zOP743OaABsajcqKZMjKRh1/YgiDAzHGpTBuVREe3i7uuHMHe8jbW765HFARmjU9laEYkP350Dd32QCFm/NA4woOMiJqG8iV68amqhgjYDIfTcbQvnFxUVZXJwxNYt2tgQ4lROTEYJBFNUVEU3/qDjUdiNvUbtEBXVQ2bSeKGufk8/f7efu/fOn8YJlnQTSp0dM5ABO14tko6J4yiqLS1DV6XfDohyyLh4Tba23t9WSBnCcfulyIIbNzbwIdry3G6FArzY7h0WhYWo4TMV5s5EUQBu0flreWH2FrciNVs4KJJ6USEmvnby9sCZkviIq389tsTMIrgUaHL4aG7101UmMVnFd9nY2kxG1izs5ZP11fi8ihMGBrPJVMysMi+NNzwcBtNbb1U1HdT19JLZ48Tu8vrE7IMEqLAgJacmiDwwuKSAfsK/eSGIgpSwk5ZDfVA52B09NezGv4q16AmCPS6vDS02enu9ZCdEkavw4PJIGE1G7CaJdwehV2HWnl3ZSkdPS6GZESyYHoWFXWdtHW7KKlsY8eBZjQNvj1/KGMKYlm7q57UuGC6et0EWQ00tTlYsa2G+64bjXxUJpcmCDR0OHhlcQlVjd3ERdq49sIcUmKCTjjF+Wy9rr8s5/r+w8k5BqfiOtT5cpzMc7y+tZfXlx9i56FWCnOjOW9k4gmZIpyLSJJAcLCFxevLWbmjjmtmZDNzzMl3Sfu61yCc3OvwZN9bRVGg16Py5rKDbCtpwmo2cPHkdIZlRfH4m7uoae4hNT6YhbPyiQ4xDTgWqqJISWU74aFmHE4v4SEmrCaZjl4XLpdCdJgFs0EE1ZcRTV9ZmKJpoGkYJRFF1eh2Kby+5AC7DrUQYjNy6dRMRmZHIX7NR6Qvc8y8CPzm6Y39XLiMsshf755KkFE8pSZXmiBQ3dLLK4tLqG/tJTkmiOtm5REXbvlGSrBOtzH8ZFyHOjqnG7oAdJI5k4Le0+0me7IYaL8kScSlqKD5BlX1JAkegiT6+gEJYDGIdNi9vPDJfrbsb8QgS8wYk8ylUzMxCBzXwv4wkizi8qpoGpiO2s6j90nTwKX4ljHKAtqXmH1RRZH1e+p5e/kh2rtdpCeE8K15BSRF2U5pDfXpIgABCIKAIAp4VA1V0zCIAiIECISSJOLuO/ayJKABOw+18urnJTS1O0iMDuL62XlkJ4Uii9DtVHjhk/3sKW1BA84rTObSaZkY6H8+iKKAooFX1ZBEAVngK4mTZ+t1/WU51/cfdAHobOfr/L6aplHb0sv2gy3sPNRCWV0XwVYDFxQmkX1UPzOdwTksAHV12Vm2rZZN+5u45vwsZo5NOanfc7YLQIc5HEcJAhglEU3T8PY1bDZIAoI2ePwkCD4B5cM15azcUYPLrVCQFskNc/MJtchoX3IMPSwOub0qouCLv07GPn6ZYyYIAh7g/dVlfL6pCo9HYXReDDfOySfY/OX34Zvk6PhElgQkvlp88mU43cZwXQDSORvRBaCTzJkU9J5uN9mTxancL0HwzZb4vtY3u3QyxKaTsU8+cclX3y0KYPiKAsPJ5HQSgL4qct9xVfEdV6N4pATv8PngUTUEOGnnwxdtz9l4XX9ZzvX9B10AOts5kd/X41Wob7VT32qnvL6LnaUtNLY5MMoiaXHBZCeFkZsShizpniBflsMCUHe3A69XZdXOejbub+SCwiSuOj/rpB3Lc0UAOhkciW80DKKIoKmnNGvmMCdyzERJxK0c3gcBQdNOi334X3O6nWe6AKRzNqIXeevonEQ0zfefwxfWN/2wfyIoXvXIBa/pbWVOFl6vrymlBKAFunYdPh8Ot0k8nc4HHR2ds5P2bhdbS5rYWtLModpOv1NPiM1IamwQk4fGkxoXrIs+JwFBEJg2MoEQm4Fl22rZV9nGNTOyGZIWoTeH/h8SEN+oKmdieKMqR++Ddkbug46OzpmBLgDp6Ojo6Ojo6JxBtHc72V/RRlO7g65eN90OD21dTmqaeqhrtSMKAqlxQUwflUhcuKWv4b8e8n1TjMqOJiHKxtKtNTzy2k6GpIVzw6xcYsKtp3rTdHR0dHR0AtCjAR0dHR0dHR2dE8DjVem2u1FVDbNJxmqS/c2TNc3XRwxAFAR/Joiqarg8Cg6XF7vTi9OjoKoasiQiSwKiIKCoGm6vQq/DS5fdTVevG7vL6/9ce5eL+tZeuuwe/7aYDD6r6WCrgehwC6NyosmID9EFn/8xseFWrp2RzaHaLpZvr+HX/93MrRcVMDon+lRvmo6Ojo6Ojh89OtDR0dHR0dE5Y9E0jR6Hh+YOJ+3dLtweBVEUsJhkrGYZQ5/Tj8uj4O0rw/SJLSq9Ti+dPW66HW7cbhVRFDAaRCRRwO1V6XV4sDt9AoyiarjcCm3dTjp73P1KNCTR1xj+2N5qhyuBTrSfhwCYTTJmo4RRFjHIEjaLzLDMSFLjQwkySQRZDHop12mEIAhkJ4WSEhvEpxureOzt3Vw2LYO541P1kjAdHR0dndMCvQn0SUbTvpqt+KlCksRTZgH+TXI27tfZuE/Qf7+kr/kwc6Zdg98EZ+u58mU51/cfvv4xOBXXoaZpOF0KHT0u2rqctHU56exx0W330G1302P30ONw+wUZr1fF4Vbo7nXj8ihfeVtNBgmbxeBziNQ0PIrqz8yxHCXAiKKAQRIItsiEBRsJMcuIIv7sHK/ia/Yuij6BCXzHQOuznBYFDYMIRknAbNAwiiCi4vUqeL1eNFVF0BRkQcUiqlhkFRENTVN8fU00DTQVNA0BDU31/b+mBf6NFris/29VRaPvb03xfx5NBb+cJYAgIoiS748kg2RAkA//MSLIRkTZCAbf34JkgL73REmGvj/+dYgSCKJPCTtLRBBJFFHU419fqqaxfEs1K7bVMiQjkivOyyIvLeJLZ2Z93WsQTv54qN9bTxz9mJ04p9MxOxnXoY7O6YYuAOno6Ojo6Oj8z3n8rZ18vK7ipK/XgBcVAcXXmv24yCgYhK8uHumcAgQB0Wg51Vvxpel1evu9Jgrw0u/mEmQxDPAJHR0dHR2dbw5dANLR0dHR0dHR0dHR0dHR0dE5y9Hz2nR0dHR0dHR0dHR0dHR0dHTOcnQBSEdHR0dHR0dHR0dHR0dHR+csRxeAdHR0dHR0dHR0dHR0dHR0dM5ydAFIR0dHR0dHR0dHR0dHR0dH5yxHF4B0dHR0dHR0dHR0dHR0dHR0znJ0AUhHR0dHR0dHR0dHR0dHR0fnLEcXgHR0dHR0dHR0dHR0dHR0dHTOcuRTvQFnG4qi0tbWe6o340shigIRETba2npRVe1Ub85J42zcr7Nxn2Dg/YqODv5a6zyTrsFvgrP1XPmynOv7DyfnGOjX4emLfo6fWv5Xx//rXoNwcq9D/bw7cfRjduKcbsfsZFyHOjqnG3oG0DmMKAoIgoAoCqd6U04qZ+N+nY37BGfvfp1KzvVjeq7vP+jH4GxH/31PLefq8T9X9/vroB+zE0c/Zjo63zy6AKSjo6Ojo6Ojo6Ojo6Ojo6NzlqMLQDo6Ojo6Ojo6Ojo6Ojo6OjpnOboApKOjo6Ojo6Ojo6Ojo6Ojo3OWowtApyGiKCAbJEwmGYNRxmiSMVkMaJKEUwW7oqGKIh5BwKloIIkYjBIeBHrcKo6+9602E0azAaPFgFcAu1fFo4FskrFaDbhUqKjvpNet4hUEHIqGbJQRDX3f49VwaeBBQDRIyEYZTRJxqtDrVXFrAm587xvNMiazAYPJt72qKODWDi8HssmAyWLArYEiCEhSX21v33I9HhWX6ts2DwLdbhWnCpokIhgkJKOMLEtIkojBIGEwSL46YUnEqWi+fRYEjEYZURLRNA1REjEaZbwIvn1HQDZJGIwSgjB4bbEoCih9n3EqGpogBCwvSqJv3zx9x1M+sctIkkQ8+D7vVkGQ9MtQ58tx9LnpUkGQpX7nnyYINLfb6XYp9HjUwOvtDOHrXmNfhMEgYTTL/nuPWwPJaMChaAiSiCII2D0qosF3X7V7VRRAlEVcKjgUDQ+++59gkDCYZSSTASTf8orou28hiwiyBJKEYJDQ+tbt0nzr0GQJk9WAIoq++7oggixhVzR6PCqaJGK1GTGZDXgQ/Pd2s1kG2Xef7nb77m1Ikm/7ZQmjSTqpx+tcQpZFPH3nnlvznYsDYTBIyAYRWRYRBNBE33jsO1cEpJN4X5ckMeC6V/Fdzwr4vtOjogoCgiziUDTsXt94OFgPDVkWkQ2+sfR4GAwSZosBZAkPvrEbSfQfG0ESfeOwLPrPRbeGP35RRd8569LA0Pdvl6ZisZkwW40YTQaQROxezR9TeEUR0SDh6rs2narvGgsNNSMZZf/1p0kSokFCk0Uko4wt2IzJYkARBZyq7zpxA5osIptkzFZf/NHtUXGovmtvoOvEaJQwW41IRt/94ejfUhQFJKOMR4OWDgeqIGAyG5CMMo6+3wZR4DjhhY6Ojo6OzilHdwE7jZBkAYdXw2H3EGQ10tbmoKa5m9YOJ2OHxNHr8LD9QDONbb1MGJZATLgFEEAQ2HGwlac/2Eevw4PJKDFnfCrnFSWzYms1o/PiMBt9gomiqIiiwPLd9by/upSpI5MYnh2NLAnERlhp6nTw5Nu7OVjdAUB2chi3XzYcryohINDe7cTlVthf0camvQ1cPyeP6DALrV0OIkIsdHY7aelwEh1u4UB1B1UN3azdWUtGUijXzcxDVTWcboUQm4HIEDN7y9spqW5j9fZaQqxGrrwgh9KaDpZsqmJsQRzjh8WTnhDC1v2NFGREcaimg417G4gMMTNzXAomo4zHq2K1GHC4vLT3uAmyGGhob8ftUUGAUJsRBKhq7GJrcRMThsYTFWYhyCKjKiqKCgZJQFVUEAQaOp088fZuKuq7ABiSEcF3FgwnxCThReCtFaUs21zF9MJkxhTEYjJKhAWZsBgkJBE8Xs0n4kkCHq9vnQ63F5dHIdhiYE9ZG89+tI+2LieSKDBlZCLXzcrFgIZ26g0PdE5TBFGgocPJv9/eRVVDNwBDMyK5+eIhhNqMSGh4gZYOJ++uPMSGPQ2oqkZkqJmbLhpCfkoYwhlwgqmiyJvLS1myqRK3VyXEZuSqC3IYPyQW8QscQURRwKNCdWM3TpcHq9mAWRZRNQ2HR8Xh8mKzGFAUjdqGbryKyqHqDtbtruOy6dnkp0aw41ALBkkgLy2Stm4XmqZRVtNJYkwwb684xNbiRjQN5k5IY8bYFD5aU0Fzp4NLJqcTHWZBlnyC8YptNYwtiEMSBQ5UtyMKIimxwbR1O1FVjbW76nC5vFx2fjaaqiGIArIoUFLeTnu3i4L0cHodHkKDTIBGZX03W4sbcbo9XD9nCO+vKmXJ5ipEQcBskrny/GyKCmJxehQ0oMfRyxc83+scgyoIrNrdwPurSmnpdCKLAheMTeWyaZmImgr4BNZup5fPV5fT3OFg8vAEMpNCeeq93ew42IymQVJMEN9ZMIzECCtf96auCQIVTT088c5u6lt6EQQozIvh5ouH8sbSA6zYVoOmQWJ0ENfPyWPj3nqsJgNJscGMyIrCKPmuCUVR8XgVLGYDvQ4P7d1uAOKjbAD02D2omkqQ1YjX67tWzCaNQ9UdtHY6KMyLRRJFBBFsFgMuj0JHrwdFVTEZJdo6nby7spTy+k5umz8Mg0Hiqff20NhmRxRg7JBYbrpoKB3dHlZurSMu2kZilA1RFHjgyfWkJYRy7cwcosKsPPtpMat31KKoGtFhFm6cm096YiiS4BNjFI+Xt5YfZOKwBIorW2nqcDB7XBpGg4TT7bvGe50uQKS0ppPwEDOHqjuoaeomJtxKR5cTk0niwnGpOJwKVrOEBiiqRlOrg9KaDqxmmegwi2/CxquQFB1Mj8vL2i01xIRbyUkJo6qhm5XbazEbJcYUxNLQaqekso2bLhqCRRZOCwcjHR0dHR2dYxE07Qx4IjiD+KqWm5ogsKu8jU/WlvPDhYVsP9DEss3V2Mwy187MQ5ZF6lt6CbYZMcq+WbfSmg5MRpnGNjupccGs21WH0SBRkB6JpkFMuIWIUDPVjd1EhloItRlxuLx09LgIthoJshp48ZP9rNtdjygIPHDreB767yZcHiVg20xGiQe/M5FfPLHWJ6oAI7KjuXX+UHrtbkKDTXT2uPF4VSJDzAgiOFxePB6Vti4HMRE2euxu9pa1cV5RIrVNvSTGBNHV46al04HRIBEXYcWrqEiiiMEg0tDSC4KAR1HZWdzItKIUKus7efzt3aiqxnmFSUwcnsCKbTXUNvWQEhfMzHGprN5ewwVjU3ltyQG27G8EQBIFpo1OYt6kdKxmmcXrKmjscGA1y0wekQAa2KwGeh1egq0GKhu6eO3zAzS1O/zHIDrcwh++O4mKui4a2npJjA5mxdZqVu+sQ1U1JEngugtzGT8snoZWO9FhZlZur2VbSRPBViPTRichCgIuj5cn3t7d7/fPSAjhZ4vGIA1yOcqySHi4jfb2Xrxe9YTPr9OVgfZLt5/ujyBAp1Ph3n+sQjnmoSLYauBH1xcRF2mltLaTVxaXUNXY3W8dP72xiPzkMBTl9D1/VEHg8Xd2s7W4qd97N87NZ0x+LG1dTqLDLJgMIsJRx8JgkOj1qDS322npcBIVZiY0yIQkijzz4R627vet8/D9YFRuNH97ZTv5aRFcOSObFz/Zz/Wz87FaZCRR5PONlRRXthMebOLCsSkkxgTz6Bs7KMyPJTMxFJvZwD9e20ZKbDDXzyngk3XlFFe2Ex1m5uIpmYQGmTAbJVRNQwCeeGcXOSkR5KdF0NHtIj7SiiyJPPrWTirqfGJzYnQQP7xuNCFBBuwOL6oGBoOI6tWwu7w43V5iwq243F4a2+xEh1tRFJWuXjc9Dg8er0JnjxtF1SjKjyU0yIhR4CvdM86161CURCqbelBUjc4eN0FWAx3dLl5feoDUuGBuv3QYIrDlQDP/fmuX/3O/uGksj725k45uV+D6BHj4rilEBhn5qmGWKPomJH7277X9dKSIEDPfWTCMPzy3GYAgi4HvXz2SqDAL9S29RISYsZkNGAwif39lOyVV7QAYZZH507LISgpl3a46xg+N55kP9tLj8PDjG4r4YHUZ20qOXCszxiRz+fnZFFe0sWRTNT0ON6NzYxiVG8N/3tlNVWM3ITYj354/lNT4EEwGic4eFz9+dA1GWSQu0obLozBzXCrhwSby0iJo6XDQbXcTGmSix+4mLT6E+tZevIrGq5+VUFrbSWpcMJefl+0XddITQpAkkZZ2BwaDSHSYFVHQcHtUehweJElEFAS67S4EQaTX4SY82ITVYqCrx4XNYsTu8tLZ7SIxJgivotJjdxMRYqHb7sbh8vqEdFlk6aYqdpe2Ehpk4vyiZDITQ9HQqG3qwWySiQm38vALW/yTRIeZPjqJ5NhgPllfzkO3T0Lm64XXp5sN/Nkah3yT6MfsxDndjpluA69zNqJnAJ0GiKJAVYudPYda+OHCQv743GYq6rsIthq47/oinnhnF+V1RwKNvNRwbr9sOJ9vqqKpzU5eWgR5qeFce2Eu764q46XF+/nelaP4cG25XwQBiI+08Z3LhvHkO7tpbLMzOjea2RPS2bi3kXmT09i0p6Gf+APgciss3VLN6NwYNuxpAOBAVTudPb6Ad/X2WkKDTUSEmHnszR1MGpFATko4JpNEZ6+b91aVERVmITHahoBAbKSV5VtreHv5QbyKL0CymGTuumIE4aFmaqt6CLEZeWPpQZra7fxs0Ri8ioJXUfn97RPp6nFjMIg8/vYumvtEmor6LtbsqOUvd0/lqXf3sK+izb/9iqqxbEs1ggAzx6YyKi+W4so2osIsRIRYWLy+nI/XVwKQGhdMTko49y4s5G+vbKOh1c7InGjmT83kP+/sZk9ZKxdPzmBFdTUrt9cCvkD8+1ePZOOeBn7x+Do0NMYNiWfSiARW76ilvK6LXYdauHBsCgl9s63HUlbXRUunk7hQk54FpNMPTRB4fcmBfuIPQLfdw4GqdiRRwKuoA4o/AP/9cB+/u23CaX3Tt7u8A4o/AG8sPUh8pI0/vbDFfy1fOSMbj1dBEkU8HpXH39rFzoPN/s989/IRLNtaRXFFu/+1I/cDgfOLklmyqYrOHhf3XDuatk4nqgq/fHItLrfvXlhRD9sPNHPptExuu3Qoz364j+5eF0X5cdx/0zgcboX7/rnKl+2H7160eX8TC2fn4XJ7yU2NYPfBJmaNT2PZ5mpeX3LAvy2xEVbuuHw4T769m/rWXmqbe/jlk+v48/emYJAlPl5XxvCsGB57cwedPb6MDUGAGWNSyEkO44/PbyE/LYJrLszFaFCJDDXj9vgyIls6HAgCBFsMGEQRVT31gfTpjEeF91YdET8A4iKt3HnFCB5/axd2lxeDLPHE20fEn9S4YGqbe/qJPwCqBi98Wsz3rxyO8BXv6V4Nnv9o/4BjQluXk+YOB4nRQXR0O7n/5nE89d4eDtV0+JfJTArlW/MKqGnu8b/m9qq8sfQAi+bm92XAeIkIMTNvcjqvLSnpd61EhFp45bMSVmyt8b9eXtfF4g2V/OiGIv743Ga6et389eVtPHTHRErb7NidHv5+zzS67W72V7QRZDEyKjeG+pYeHntzB1NHJhESZKS104HHq9Jt95AQbaO100VpbSfZyWFcdUEOj72xk46+OEMQ4IIxKVwyJYOtJU0UV7QzPCuK8GAT7i4nz723h9rmHjISQ7luVh7pCSG4PSout0JkmJV/v7mD8roufnrjGP7x6na67G7uunIkv392E/UtRwSSUTnRzJmYzifrK6mo72LnwWZmT0jjgjHJ/OWlrRRkRFKQFklFfReiAEUFcUwZmYBBkmjtdJAYE4TDpXCopoOClDA9C0hHR0dH57TjdH4WOGfwarCvvJV5k9PZsKfeP6t0xfm+WemjxR+A4sp2nvlgL2ML4nhtyQG2Fjex40Az9988jiCrgcK8ONbsrAsQfwDqW3t57I2dLJydx99f3c62kmaCbSZ+eO0ogm0mnn5/z6DbeLCqncK8WDbsacAgi/z4hiKe/XAvh2o6/cuYjRJ3XzOKd1eUEhNhxeVWyEkOxyBLlNZ2MHZIPM0ddjp63AEPQeDLGPrry1v56w+m8eQ7uzDIEvdcO5rXPi/h1/+3gV/dOp7s5HDsTi+ltR109Li4akYOFpPMU+/t8QeJHd2uAPHnaFZuq2HyiER+89QG/2shNiM/uGYUzR0OZk1Io7qxh5qmHvaWtXL/TeOobu4mzGbi/ifW+R++s1PCeGPpke2/84oRPPbmTr8YBfDZxkq27G/ke1eN9H/f55uq+MVNYzHIov9hMeAYV3eQEB5/Wmdo6JwaPIo26HkNvrKvpg4H1YOIPwCNbXY8iop8uvYDEkVqW7oGfdvh8vp7cWkaLN5YSXiIib1lbYzKiaKysTtA/BEFiAw1BzzQHs3KbdX85MYxLNlURU1TD01tdiLDLDz93h6/+HM0764sZVRuDFddmMtnGyp58JmNLJpXwJLNVQNez68sLuaRe6bx3spSLp2excdry9l8zD25sc3OP1/bwbcuKuCRl7cRHWbh/pvH0tnr4pN1lZxXmMSfXtgSsD2aBks2VREbbqUgPYJ95W28v6aUoemRPPzCfv9ywVYDP71xDCFWI25N0wf74yBIIm8sORAg/gA0tNr9Y2Z9ay9uj8rRz/MpcSEcqBr4/AIoqWzDq4LhK26XquHP3BmIg9UdJMcGM2diKs9/vC9A/AEorenkpcXFLJiWyYufFge8987KUm65ZCiPv7WTu68ZRVSohWc/3BewjMkgkZEQyquflfT77h6Hhw/XlHF+UTIfrS0H4NXPD5CTEkZhXiwvfLLfL+aKosADt4yjuLKdySMSeWv5QZraHQRZDMwan0pOSjgCIrsPtQBwzYW5/OWlrThcXv/3aZpvDI0Ms7CntIU9pa0AzByXwvih8Vx+XjbVTd28sriYn/97LT++oYg1O2uJCrXQ2GZn16FWvrNgGM9+tI/S2k7uvnoUj72xIyDTF3xib4jNyPlFSXy2sQqAT9dXMHNcCj+4dhQWo4En3t6FQRa597pC9pa18u83d+FweUmIsnHtzFwWzc1nx4FmhmdE4B7gXqKjc6KomoaoN5fS0dE5SejdZ08DVA1yUsLRNFi3q97/enJssL8Xz7HsOtRCbmo4RlnkvMJkrp+TT21TD+OGxDK2IJbVO2oG/FxzhwNZFokJ99XVz52URnuPiw176gkPMQ26jWHBJrrtbkwGiTkT0lizozZA/AFwuhX+8ep2Ljsvi8UbKklPCMVilslJDmNGUQqlNR0EWYz+YHGg47BkUxXTRificHn5x6vbuGJGNi6PQnu3k9KaTn71f+t5felBPttYxWNv7uSlT4u5d+FoTAYJs0mmx+EZdB+8iobT7Q14ravXzRtLD3LFjBweeXkbz320j6Wbq3j+4/3c989VRASb+XBNWUDmhcd75CEgPy2Cg9XtAeLPYdq6nOwubaEoL4arZuTwwC3jMBokHrhlHFfOyMZkDGzQERVm6WteLeAB2uwe2uwePNrgzTx1zg1EQSA8ePDr02KSCLUZj7uMySghn6bnkSrA0q3Vx50tFwT6NbP+ZH0F5xclk5UczuoddQHvWcwGvzA8EF5FQ1GOfF9Dmx2jLB73gbuuuYe3lx1k7a46FFUjNsLq78fUb5802FfWxsRhCbjcCsu2VA+4XFuXEwG45ZIhPPTdSew+1IpBlqhq7KayoXtAMQrg43XlnF+UDMDW/U2kJYQSHmzy3yu67R7++vI2HG6vP9NSZ2CcHnXQ3+fwmBkWZMbu8mXL3HrJUO6/eSzzJqUTE24ddL3hweavHWQdb1wODzYRHmyiID2SfeUDC8TFFe1kJIb2e72r1zeeO90K764opa3L2W+ZrOQw9pa1DPr9W/c3MjQz0v/vqsZupo1OZn95K4eqOzi/KIkHbhnHQ3dMxGKUiQoz8+Q7u/2iS4/Dw1vLD/HakhK8ikpcpI2kmCDqW3oDxJ+j+XRdBecVJvv//dnGKpo7HDz30T7qW3r56aIxgO/6uGRyJtNGJ2GQRWRJICspjIPVHZiMEiaj1E/8OcyanXUU5ccFvLb7UAvJMcEkxQYxdkgsD39vCos3VvDBmjL/tta19PLXl7dhsxiYOzkNPelO52TwwuISbvvzCt5aWXqqN0VHR+csQReATgMsJpmtxY14j8r8EAUGDYAOY7MY+OsPpqKqKp+ur2DNrlq6ej2EB5uPG/B3dPnKHdbvrqel3cHLnxazdmddQFB1LHMmpFGQHsHd14wiOzmMcUPjufWSoVjNgfPKTrdCZ48Lp8vLmp21/O7pjXgUlc83VvL+6jIkSaSpbeCgC3wPWKE2X8Db6/TicHkJsRmJDrfw5Du7+qXC17f28vmmKu69bjT3XDuaqFDzoOsWBTAM4CY0fXQSf3tlG3Zn4PF2uhUefmELhfmxAMiSwOSRCcRGHAn489Ii2FbSzGBsK27iull5HKxu57dPb+RX/1nPL59cz6HqDn58fZFfBDIZJTISQlA1KK7u5N5/rOa+f/r+/OjR1eyv7sTlPv75oHPmI4oCcl+PL/DVwisIaIKvnMnX+L0/w7Ki0DSNxOigAc9x8M2Um06ym9bxkCQBRRDwIgzqiiTLIl4E3IqGy6MiCAJhg4hYI7Oj+z3kdva4sZhkXG6ln3jk7Lt3DIYogCwfEZSiwsxfWH6pahptA5T7DEaQ1cDnmyoRYMAsocO4PApF+bGs2VnL55sq6ex2ERZkorHNPuhn2rtdBFmMpMWHcN/1hQgCXHlBDr/41lgWzspDlkTaupz0Ojx6GcoX4PYoXzhmRoaYGZoeyd3XjOKzTZU8+MwmfvH4WoZnRQ3q+rRgeiYm+auLrmZZ4NJpWQO+Jwi+XnwThsUfd0wF/L37jsZikvH2KRQjcqIwnoSO4RdPTkcA0hNC+eNdkzmvMJn2bhdOt0JVYzeaCt+9fHi/CY21O+vxeFVyUsL4wTWjaOkcfH86elz94o4lm6qYOiqRZVuqEQWBh783hQlD43nq/T38+cUtmIwyD9wyHndfiXuQxTCg4HUYRdUGvGZeX3KQTXsamDAsnq4eN9sHGfv/++FeOrvd9LgVffJG52vR1uVkxfZaQm1Glm2r6TeJqaOjo/NV0AWg0wANldZOn9vM1FGJgG/22GIaPGlfFHyzZ76+EAKNbXaKK9r5w3Ob8fa5cgxGemII//feHg5WdyCJIr1OX2Po+uYebl8wjCkjE8lM8s0YCgIsmpdPeIiZ5z/Zz8MvbPHV+j+7iZXba/jR9UWYj/muzh43mYmhNLbZqWvp5Vf/Wc/cSenUNPXQ1ukkJW7whmrZyeGUHVXy1tnjJisplIPVHQz2DLNuVx1hIWb2lbdR2dBNSuzA6x9TEMfOg/1nMyNCzTS0Dvyg1drpJCk6iPtvGstfvj+VqFALG/c2MCo3GgCvomI6TuBsMkgcrOlg+4HAQHH7gWY+XFPG/CmZmI0SD9w8DrMs0Onw8KcXtgRkMnX1uvnDs5uobz1zGqrqnBii6BNKDtZ18enmavZVd+IVBDbsb+IXT67j9j8u5Yl3dnHr/KHMHp965HOCrznypr0NvL70IAZZ5AfXjOp3Tg7NiGT+5Eyf093/AE0QOFDXze/+u4nb/7SUXz21gV1lbahHPSmrosjnW2v48aNruOsvKyiubCPYZuDni8YQbA0smkmKCWL+1EwWb6gIeD0m3IIg+IQZ4zHilqJqtHY6SR7kfjB2SBw7+q7LyFAzqgp2p4fc1PBB9ys9IZTapiMZP4cb8A+EKPj6g00ZlYjFJA94P89JCWfKyEQyEkP59xs7ee6j/VQ2dKOoGm2djuPeK+MirXgUhevn5PGfd3bz6//bwH/e2c3vntnI/oo27ltYiCgKdNt9Tk3y/1D8O9MwGaV+49jRZCeHIQsaskHkn69t92d9KarGyu213HrJUKRjHvSnjU6iMDfmazUxdau+LNNxQwKzUSRR4O6rR3Goup3N+xsxGsTjWo8bDf1/+wvGpLBmh6+Pnc1soL27/7VyqLqDoZlRg663qCCO3X2lWIvmFdDr8PDoG9sJshr56WNr+OWT6/nX6zv49f9tYO2uOsKCTew40MJ1M3P7rUvVND5YXcafX9xCfOTAvfLA1zerq68f1mE6elwE9d0zPlpXjtkosXhDJXFRVhKjg1i1vYY/PLeZ4D5BuKvXTXTYwGI6MGD8lJEYyiVTM/AoKp9tqMLp9g56r2jpcCKKAvf+YxXdLkW3hdf5yqzdXY8siyyYko7TrbBxX+MXf0hHR0fnC9DbApwGeL0aI7Kj2HGgmaL8WNITQiiv66K4sp3RuTH9+hIATBiWwI4Dzew80MzdfTNme8t8gdiHq8u4eHIGby472O9zqXHBhAWZKKv1lW8dLqkYOySO3NQIdpW2oKgq00cncecVI3z28YLIr/5vfb8yp4PVHXy8tpxZ41N5b1WZ//WMxFAkUeAPz/vcSbrtHspqOxmWFcULn+znlvlD/Q9eR2MySBTmx/DGsiP9dZJigthb1oLD6aUoP5YZY3xZSgZZpLy2iw/WlNHV66aty8nwrCj+8dp27rl2NM+8v4fKo0ozRmRHM2t8Kn96fku/71W+oDyitdPJwy9uISvJ15jy47XlXDwlA5dbYfO+BhZMz2J36cBp8vMmp7PrYAuC0N8NePuBZm66eAhjhsRiNkh4NYHPNlUNmIWgar6eDTfNyTvutuqceYiiQI9b5ZdPrqO9L7tk/tQMNu9rYPlRjVdLazp56NnN3HddIcOzoui2u0lPDOWD1eWs7nuQe/GTYm6Yk8cf75xMTVM3PQ4P2clhhNmMfhvrbxrZILFuTwNPvHPE7a6upZe/vrKNqy7IYfbYZERRZOPeerrtHkKDjHT0uNhT2sq+svU8ePtEHrpjEodqOmjpcJKXFk5bl5NHBsjSmz81k9ZOJ4kxNmZNSOOD1WUB77/6eQk/uaGIx9/eFVCqNTwrigvGpvDw81uIi7Ry+2XDeeb9vdx+2XBuvWQov3xyHc5jSq8WTM+kobWX2RPTGZUTjaJomIwSd189ip8/vrbf8lecn8PSzVVkJ4djMUnMmZjG28sPAZCZGMrC2XkcqO6gqqGLTfsauez8bGRZZPuBZtbtqmNYVhSRIWZCg4z+BtBHc+m0LIIsRv784pZ+x2VbSRMxEVbGD407krGoP4UOisUgcsmUDF5f2n/MTIsLJjLEhCIIHKpqp7UzMHNk5bYaXG4vv7x5HF12N06XTxgIMskIX6EGSJBEvJovKwlFocfu5vyiZK6+MIe9Za2IgkB8lI2D1e2MyY/jqff3IEsi44bE+U0ajmb8kDi6el1cdl4Wbo/Chj315KZEkJMaxraSRr6zYBjZyWG4PCo/ur6Qv7y01X+tuDwKnd0uLhibwpJNVQHrDbIYuGhSOpv2NfDrb4/HbJTptruZOiqJ+59Y168ce8eBZmLCLciyQEpcCCaj5C9vTE8IobSmg4/XVQAQGmQiLNg0YHPt+VMz+WxjZcBrOcnh/m22O72gwbxJ6ew81Ex0uJWf3FjE5n2NHKzuoDA/hq37m2jtcvpjrWOZOzE9INNi5rhUzEaZbSVNjMqJxu70sHJ7DSOzo7nmwlxe+awkoBeUKEB4iJnYCCvPfrSP2xcMxyih9/fTOWG2HWwhKzGUqFALiVE29lW0M21k4qneLB0dnTMcXQA6DRAFnzDzr9dLmTYqkR9eO5otxU1s3d/Iwtl5WEwy63fXoWq+h8XJIxKYMCyev760Fa+i0drp4NJpmX4BaP2eev7w3ck4XV4Wb6z0lx4Mz4riqgtysDuPBGZltZ3MmZhGTnI4v31moz/ted2ueoIsBh68YxKtHT2DliJsKW7k5+PH+gWg7OQwYiIsLF5fGdC7oqK+izsvH05Hj5vmDjs/vqGI/7yz29+jIz7Sxu2XD+e5j/b5BZCC9Ah67G4umZJJkNWAomr887Ud/tK43FSfW9e7Kw7R3etGsxr4zqXDeGPJAWaNTyMmwkKP3UNEqJkgi4Et+xv9LmcWk8x5hUmkxoUQF2nFZJAGdECTJQGjQULTfILXwy9s4f6bx/HXl7Yyf2omI3OiEYAx+bH9GryOyI7CZJAIthn51S3j+b8+l5KjqW/p9dv4psWHcNPFQ9hX1hogXh2msr4Lt1dFf4w7sxAlEZdXRRDAJIsox2QEeFT4y0tb/eKPIMDInJiAZuVH89QHe/jzXZMxyCKPvLKdXYeOiI8lVe3c/+R6IkLM5KeFc8tFQ0BV+6uPJwFJ9u2Xpvn2S9M0HB6Vrm4Hz328v9/ysRFWZEnApWi0t/dSXNGOqmnMHJdKaLCJf7+5E7vTy9Mf7GXuhHTio6w0tTvQgKhQC9HhFrp6fUKIxSQzf1omvU4PW/Y3cev8oYwfGofHo7Bkc7W/nDY9PgRF0Zg3KZ3YcCsaEBHic9qrburhd9+ZSENrL68vPcANc/P4bGMldS09/P6OSazcXsPe0lbCQkxcNCmd8GATsiyxdX8Tf3h2E6rmy8SYXpjEIz+YxvurSzlY1UFEiJnzipI5WN3B8q01tHe7iIuwMH5oPAKwcW8DC2fn8ecXjzS5XberHlkSuHdhIXanlw176rnn2kKqGrv44bWjee7j/X7R3mKSuey8LFxuL03t9n7iz2GWb63m54vGYjJKfLq+gmtmZOMd4B6nA4pXZea4FDxelQ/XlvvHzBHZUXz38hEYJYEdpW397t+H2bCngQ17Gnjix+dhMUi+B/1BrrnD9wNRAKMkBogCgiRhd3vR8Llv9jg8BFuNJMYYsTu9FObFsGRTNbIkYjTIrN9TT1SYhQ/XlHHfwkIMssjanX2xggCzJ6Qxd2I66/fUs6e0FYtJ5rZLh2EySryx5ACL5g3h2Q/3UtfngpUeH8J9C0fjcCk0ttoJshoore2kIN2XhfTBmjJ67R5GZEczY0wyoiDgcHr53dMb+xzDzHxrXsGgvfhWbK3hnmtHs7eshczEUH9J58xxqbyz4kh/k2c/2ss9147m+b6GzeA77xdMz6Tb7va/Br4x+sJxKf5xdNyQOF5dUhLQT/HT9RUsnJ1HcUUr354/DLNhP68uLubehYW8s7LUPyElSyIXjE0hKSaIstpObr9sGDHhVoKtBiRJIC81nJ8/vu6ocv16zEaJexcW8uyH+/znR1FBHMUVbdwwN58Hn9lIRUMXLrdCfkoYgm7zqfMl8SoqNc09TO8TfOIjbZTWdX7Bp3R0dHS+GF0AOg3weFVESeT+m8f5GoIKIiaDSG5qOCWV7cwan8p5RUl4vRqyLLBlf5Nf/AFfnNne5SQy1ExrpxNNg9LaDmRJ5GeLxmA2yZiNEp09bhxOD5GhwUSFmWnpcPLp+gp+f8ck7vn7yn417z0OD0+/v5tZ49IG3XZN8w1SsiQyaUQCU0cm8vALW5g/NTNgudS4YB57cycHqjv49vyhZCTa+MOdk+jtCxQVVePZD/exv6INQ19j6/lTM9he0sTaXXWMGxLPK8c4kZRUtvOv17fzy5vH0dnrprndwdsrDnHjnHzeXVlKcWUbRlkiKTaIay7IITMplBvn5nOwup1Z49L4ZH0Fa3fVMXlEIlddkM0LnwS6pABcNDmDVX3ZFYd/q6WbqyjKj+XFT/czPCsKu8PDgulZzJ6YxqptNSiqRlF+LC63wl9e2ur/zL0LC/njc5sDejsd3a+lor6Lh1/Ywg+vHc3vntnYb1tSYkMwyiIe3VXkjEAUBZxejfdWHmLDnnqMBolZ41OZMiIBGc3/fOhwe/3Of+Cb/T5e75eObhe9Ti8RNgPpCSEBAtBh2rqcx22I/nUQBFAQWb2jjk/WV+B0K4wbEsvFkzP52ytbuXJGbr/+ZQtn5RERauaTdRXsKW3h8vNzmDQigcY2O1FhFpxuhe9dNZI/Pb+F0ppObBYD9z+5nhlFSRikKDTN5wx02Oo+xGZCEOCxN3byrYsK+OWT6/B4FKYXJvOTG4tQFN/DaFiQkdZOJ9FhFhra7DS12xk/NJ7OHhdWo4QkC6QnhjJ3QhpWk4GmdjsHqjr40b9WMyY/ljuvGMHGfQ38/dXtfHv+UFbvqGXj3iNCr6JqLN1cjdujMCwzihCria5eF4+/tZNuu+/4S6JAZLiFP7+wlczEUO69rrCfwxH4mlI/+sZOfn/7RLp63cRGWIkINeFyKdx5xQhkSaCh1U5okBFBALdb5VBtx6C/k8utEBFqwu1WqGvu1RtBfwGiqnHJ5HRmjkvF7vJgMshYDCIiGk4vvLuqlEumZAz6eZtZRhCEQbM8BFHA7lF5a0kJ24qbsJhlLp6cwdiCWERVRRNF6tt6eWVxCVWN3cRF2pg7MY3iijaiwy14PAppCaG0dTro6nUzdkicX8xctb2WP7+4lZnjU/nlLeOwmg2YZAkEAjILAXYebGbS8HhunT+Mnzy6JmDio7y+i7sfWclDd0zy9wQqyouly+6is8fNDXPysTs8GAw+J8s3lh1g7c4jQkuQ2RBgqX4sbq8KAoiiiNp3AzQZJYZkRAY4kDW02vn7K9u4eEoG183KIyTISE+vm2CbkWc/OrJcekII3750GB+sLsXlVvwNsZ8fQIB+6dNi/njnZA5WtRETYeH714zCZPKZWlw0OR2P1xfHrNtVz6Nv7EDT4I93TuaRl7fS1O7g3oWjeeq9PQG9GsHXK/Dp9/dw2fQs/v3WLuKjfL/bX17awoPfmYQgCEiiwF9e2srv75hIYrhF78ml86Wobe5FUTTi+nr/xUda2VzcRGevm9Dj9LfT0dHR+SJ0Aeg0QENgf1kr7T0uspLC+HR9BZdNzyIu0sa+8jYsZplfP7phwKAhOzmM6sZuNI70DBIEGJoRxW+WrWdUXgz/eHV7wANlTLiFe64ZzV9f3saI7CiqGwd3mtlb1saiuQWDbrvJIBEfaeO+hYVs2tfAH5/fjMerEhp0pJFrQXoEuakRWEwGLhYFDlS1kxwTzMptFaTGh5CdHMbbyw/x7UuH+gUsi0nm7kdW4FU07rxiBK8t6W9DC75a+6qGbpxuL/FRQdQ29fDIy9v4yY1F/Pbpjbg8CpNHJPLq5weoauzmt7eNJy81ggf+s87/QPTR2nKunZnL968ayVvLD1Hb3EN8pI15fUHhu8c4L5RUtjNvUjrfWTCcTzdUsnSzLzU+NMjIiKyo/2fvPAPbKg+v/7tXW7LlvfdeWY5H9h6EkDASIIGwoWWWVaCsQltGKVAopRTK3oRAIARCSAIZZDvDcWIn8d57D1n73veDbCWK7VD6b/uW1uebrSvpSrrjec5zBnOzozh0spkNu6vcz+kx2di4p4pZEyP5Zq/r/+OSAimu9mwcMpntVDX2EB/h417xH/xNL5qdgPx3DhxFUcApu9ptJFlGq1agFkeenIzinw+zQ+beF3d6EDHvfn2C3QUN3H9lNgpcv+WZAa12u/OseSTgWvV2OCQW5Ebz1a5Kj5a6QaxckIIgy/yzpxoOXJOZ09uyNu2rYdeRBn51Vc4QJd3c7Cj6rXY+WHOShEgflkxP4Ol3D2A6TbmSEuPHTcvGkRTlS2VDNyCTlRLMJfOS6e2387s39g2xQUWHevOLFRN49fNj7uvX1oO17jYnQYDHbpzKr/+2x0OMsWlfNb/9+RSqG3rYdbSBbYfquHnZOA4X1xAX7lIlSJKM2eZg19EGPttWhk6jJDLEyP6iw8N+J4Mh+n9de3TIY4umxPLK2qPUtfRR19LHzImRIypJTGY7JosdL52KDzedxGxzEuirc1tte0029hxzTbi9dCp+ftHYEX4lV0OUQhQwme2MSQhA8X8II/5fgeyU0Iig0Q1kUA2cP7IsU9/ah1Ip4m/UDhsgfMGsBLSqoQo/cB2LJquTe17c6bYKdvVZeXXdMfYea+DOlZkUVXbw3Ienjq8ek42Smk5WzE/mZFUHCyfF8Pib+7l9RSb7i5r444eHsNqcrFqUys3Lx/HaumN8vbuSr3dXIgpw/1XZ5B1v8SB/BrH7aCMLJ8UMG1Asy/DZ9jIunZdMSU0nAhAaaODjLSUeIeyP3jDZQ2UD0NZtJiLYa8Tv18dLjdXmZOrYMFRKkaljwxmbGIhKKRIXYeRk1alrSmevlXe/PsFlC1OQJJmPvy3BaFBzzuQYlk53EXENbSa+2VdFeKAXszIjWD43id+/fWDE9y+r6+JkVQe7Chr4fHs5d6zI5PX1he6FqDOx43AdEcFetHaZUSsVw1oxwUVYRQR78dA1uZitDp7/6DB9/Q4kSWZyRqg7H+qDjSe5+7LM0fDNUfxdqG7uRRAgyE0AubKxKht6mJA0cjbXKEYxilH8EEYJoP8AKBUC45OCeOCvu2lNNTMvJ5pAXx2PvrqXYH+9qyJ4aQavfVHo8TydRsllC1P4yycF3HjRWHdGzyXzkunoMXPtEpe8u7mjn6QoX7JSgxEEge4+K9VNPdx7ZRYgU9s8/IpdRnwA506NRatWMjYhcNicm4WTYli7rcydQTKIwVydpTPiGZ8YyG9e2+uuXB2TEMCUsWFkpYawv6iJr3dXcvulmfT226hu7KG330ZanD8BPjqaO1wy9LaukRs7yuq68fFS0VnpssBZ7U7K67pJiPRBQCDYT0d5ffdA6KPAG+sLh6yGf7S5mOhQb+5ZlYVaJVLf2seHm4o9lBmD8PHSoFSK2B1ON/kDrsDq7480sLOggV9fN4lN+6o93ifveBP3rsrim71VjEsM5MKZCTz93tBMourGHmJDvd0EkEGn4vZLJxAWaMBs8hzMiwoBq0Omz+xAFMCgU6JVinT1O3jp0wL3JD080MAty8cTHqBjxDTtUfzTICoEvtheNqwKp7y+m8rGHpIjjEiSjJdehVopulbHcbXf6QZUe2fmygCkRvuhUylAljGoFfz6ukk899FhD3vUzy4cQ6ifDvmfTPiJokBVU9+wVekmi4NvD9Qwe2Ik4YEGt61k+vhwHn8rD4BL5yXzp9VDs3yKqzv5Ykc558+MJ/9kK0lRfiRH+qBSinx5qHbYiVdNUy8MWDOHgyy7LK4h/nqPkHeT2c6GXRVMHx/uzljy8dKw/VAdj/5sCt/m1WC1O5mYEsymva6skdkTI2nvGrmZSJJxE/QuC18QabH++HlriQrx4sTAxNbf6LKjng19/XZ0GiW7ChqQZZlHbpiMr5ea5Cg//H20HK/qoKvXSp/ZjtPpan4bjlC6eF4SdrsTQRTISQtBHlUA/cNQKgTGxAfw3tcnuGNlJq+tO0Zdi+s7F0WBhbnRzMuOGpb8AZAFkfc3HR/2fD5W3k5Dm4mPNg1VoAKs3VbGH26bzttfHeeq89J5b+MJj9yaD745ydSxYTx/12xqmnro67cT7K9Hp1EMuS+fjr2FTaTH+XPo5NCMwcqGbrp6rWg1Sre1+cwGPqvNOcTl1m9xYLU5iQrxprZ5qI35/BkJmMw2Dhe3kJMWQn5JC0UVbYyND+Tyc1J55G97Add3mpMWQmKkL+OTAt3ZTD0mG5+ckdNkNKh58uZpfL2nCqdT4voLMtxq6b3HGtl6sNa9n509FhZNiWFCchDvfn0ClVIccfELXOoelVLhUnb9wH1TrVTwwY6T7u8pxF+PyWxn1aI0nJJEZkqQ2/Y6SgCN4u9BVVMvAUYtaqVrQcioV6HXKqlqGiWARjGKUfzfMEoA/QdAkkChELHanVQ19rBwUgzPfXSYX12Vw5tfFvHJ1lKuOS+d398yjQ17KunotpAU5cfE1GDe/fo44UEGHE6J86bFMTEliIqGHlo7zWTEB9Dc0c+vrsqmvqWP3UcbkGWYPiGcyGBvPtp0kkljwhmbEDAkpHheThTJUX68svYodqcrHNLboGJfYROS5Ao/PWdSDFEh3ny11jN41ddLTXy4kb/cM5sek50HX97t8XhheTuPvbmfO1Zk0thm4urz0rE7JbYdquVkdSf+Ri2Jkb7cf3U2b315HJtdwkunGtHSEuynQ6UU2bz/FBnT1GHiqnPTEATBnQ2waEosBp3KIz/gdNQ09XKktJXC8laWzUkelvwZ/G5kGTburxn2cVmGvOPNTEgO5uDpuUCyTESwF3+6axbHytt4+r2Dw04IQgMNjEsMZNKYMLz1KgJ8dOhVIlq1ErPJikIhYnfKOIHeXhsvry2gvN61r/5GLXeuzOTr3RUek/SGNhOPvLaXP94+A1+d8l8RCTOK02BzyOwt9FwdN2iVzM2OdjXsCQIqlQKr1YFWKXLx3CQ+PM3i+MX35dy8fDx//jjfY+Lh46XmtkvHI4JLmSDJxAYbeOa26S5CQJLx8dIQ5Kejr9fC31sYKyoErE4QkIfNKRqEUimyPb9u2McADp5o5pK5Sdy5MpPfDGQYdfWyprI0AAEAAElEQVRZkSQZX28NPSbbiJk1uwoaOG9aHCsX+CE4XeeF2eZkX9HQYFtwBbuPVHk/CEmWEYZJzTpwvJms1BD33xabAy+9mo82n+SeK7J47+sTCAPPB0iP9//BDGV/Hy33XZmNn7eGgyea2XWkwd0mdNdlE2nr6ifAR4e3Xj3i9UwhCoQE6DFbHDglGaVCxOGQqGnq5aPNxQT76bn90gnUNPdy4Hgzx8pb+dVV2bz1VRFHSlqRZRdhfOn8ZKJCvLHaJdq6LGhCFT9JC9igktEhuypL1Yp/r4pRVIhYnRKCJHPD+WO48/kdvLgmn2Wzkwj212F3SOg1SiKCvBDOsl92SSLvLO09e441Eh7kReMwbZQOp4RCFKht7kUhisOGFu851kh7j4XLz0llR34deUXN3H9VNvJZLvRneyzYT4/RS80Tb+dx35XZvLA6f8g2wzWLAbyz4Th3Xz6RL3dVcPhki+uY1Cq5cHYiWWnBVDV0ExrghVqlICslmMrGHp56N48bLxrPfVdms3FPJZfMS2bvsUZ25NehECE8yABDXV3AQLaYUuTcqTG8sPoIZXVdgIu0m58bwy3Lx/PSpwWAq3XvibfyeOCaXB6/aQqSBIumxHC0rI265t4hayPjkwJ59+sTrjGPSuE6H4f5nfVaJQpR8CDJrl2SgdFLzff5tbR0mhmfFMSY+ABEBPin6zJH8d+I+tY+j7Y6QRAIMGppOotFfBSjGMUo/h6MEkD/ARBE12BFp1EyPyeadTvKuW5JBpWN3axYkIyXTo3d4USvVbIwN4YTVR2crOpg8/4q5uXEsHBSND0mK7npIZgsDhxOCYNOiyTL3HtFFu9tPOlhJ6pq7BmwbU3EZHXQa7KxeGocG3ZXAuCtVzEpI4wn385zP+fpdw8yNyeaB67OIcBHi9Mp09hu8pCsa9QKrl6cTlSIF3sKXSHSoQGGYZvMunqt1Db3IskyZquT376+3z2wqmvp42hZGxfOTGDhJJcaaumM+CEZQOBSO4T46xFFgZbOfnIzQgnx05OdGoyXXsUTb7kydyZlhDIzMxyT2TFsI9cg1CoRg1aNUiFwybwkPt1a6rHt4P6IgjCsDWAQnT2WIVXWWWkhbN5fzcSUYJQKcVjyR6kQSIv159d/24NaqeCFu2ehQnYP1h0ylNR28eHmYpraTESGeLN0egI1zT18vr2cjh4Lv3tjHw9fO4kDJ1o8yINBGf3Pz8/4l4QCj8ITp5MTYxICuHhOEl/uqmDz/moMOhXnTYtjVmYEsiQzfUIEWWkhHDjexFe7Kqlr6cPhkHj2jpnsOdpAW5eZcYmBpMf5o1UIHs11kiSjEsBv4HhTKgVUyrNbyAYhDuSSrNlczP6iZlRKkfk50SyaEoOK4SaJwlntaWqlghNVHewqqOcPt03nRFUHBq1rv7z1anfo+3BwZYkJVDX1EB9mRBx470kZoaTHBSAKAp29FjbtqyYy2ItxiYEUlLYOsUu691SAmFAjTR0uJZJOoyQjPgBRFGhu7/fI4Nl2qI5zJsfwyXelvP5FIVcsSiU52pc+s4NPvitxXe/aTCRE+lBeN/S9xsQHoFaKhAXq+d3r+z1sN6W1XYxLDGD53GReWJ3PXZdlsnJhCq+foegEWDozHovViUGnIjXGj6QoP7YeqnVbbZo7+vndG/u5dH4SCyfFcKy8jSfeymPquDAWT40bOC5kfLzViILI90fqyU0Pdf2OP7FzXhYE6tr7eXfjSaoaugny03PpvCQy4vzdx8a/CqIoYJXgi21l7MivR5ZlZkwI57k7Z/LexhO8uu4YClFg2vhwVi1MQYmMhOuYkwUBm9N1zVYpRJQCCBJnVZtoVArsZyGQBAHiI4ycrOoYcZvi6k7sdidTx4aTV9TMgRMtTB0XzvbDwxO2CyfF8NWuCsbEB3C8st2D/LhwViIfb3G1cYqCgFOSGJcUiF6joqqxm6b2fsrrXOHQZyqDekw2Pt1ayu2XTsDukOi3OFCrxIEyBZlgPwOPvbmf6BBvrl2aQV5REw9cM4m1W0vp67dz3fljePiVPW5b1gebinnm9hl8tbNiWPHqJfOS6Oq18PxHnlZ3h1N22ennJJKTFoLdKdHUbsJsdbJ6czEXz01CEASC/fTMnBBBQqQve442sGWg7SwpyhenJLvv89sP13HhrIRh21VXnZNKQakrSDo80MC1SzPQqhUcLm4hMcqPnPRQ7n9pFw9cnYtGJWIfDWMfxd+Blk4z6bH+Hv/z89YMSxSPYhSjGMWPwSgB9B+A7j4bRi8NS2fEEx5kIDnaF1l2yal3HaknNMDAhOQg7A6JN9YXcs5As8c1SzLot9pdAYRzknh5bYGHFUCnUfLQtbkjvq/dKfPs+4foMdm44YIx/OyCMWzcW0VOWog7p2YQNofEN3ur+GZvFedOicViczArM5Jnb59Bd5+NfoudID8d7244wfHTBqlKhcAtF49HFAVPNQxQXtfFkmlxvLvxxLCral/sLOeR6yfzxw8O8egNU2hsM3kMZn29NPzi0vGoFCK9Zjs3LRtHfnELNocTSZYxmR08fF0uDodEQ5uJvKJm+sx2JqYEDyt7FwSIDPZGrVRQ19KHyWznT3fNorvPhk7jWuFTKkXKajtJjPIjOcqX/GHq7AESo3zZf1olr0GrZMn0eP7w7gEcDonM1GAWT43lm71V7kGtQavkF5dmsv77crz1ah68OgeNQnDn/lhtDrYdrue9jaeWQivqu3nh43yuWpxGVqrrczmcMvsKG8lKCyHvDPVESU0XdqeLMBjFvw5alcjCSTF8uKkYo0HNstmJPP5Wnvs4t9qdvLfxBIdONrN0ehx/eO8QggCZyUE8dtNUWjv6+XpvFX/59AgpMX74GDTER/igAg/y58dAUIiYbU6sdidatSvgtt8uce+LO915PGarK/9jf1ETj14/acgNwul0Mjc72kNtdzpmZEaQd7yZo2Xt/ObVvfzqqlxsdgdatYK2rn4iz5IP4uutoaqxlxc+zmflwmQWZkch4lJ8vLA6H6vdSViAgeVzE4kNM3LvizsJ9NVx58pMfvvaPreFbhDL5ySxf0CFteqcVKJCvDlc3IzDKbPw3FQ0aoXbeldQ2srsiZHMzIygqb0fpVLkjud38Ksrcwjx17O/qIkQPx3XnJfOG+uLPNSBiZG+XDwviXc2HGfx1Dg3+aNUiMzLiSI7LQSnU8ZoUHPRrHjyippwynDPqizW76ygpqmHYH89502Nw2Sx09lr4Tev5fO7G6fS12/j8WEC4T/dWsY9q7Lo67fR3NHP59vL+Xx7OQE+Wu5ZlYW/UUt3r42S6k7GJgQSGez1k8r/UihFCis7eeaDQ+7/1bf28fzqfC6cmcD502P/pVZWmwQPvbLbw3q8aV8N+4uaeeqW6Vy92KUu1ShFZKeEJMkoFAImm8RbXxVx8GQzsgxpsX787IKxBBg1zMuOctecn4nJY8I4eKKZsEADS2fEE2DUotcq3dXqkgQXzk6kYhjycRA6jRIZl9rz0vnJbD1Yw6PXT+ZwcYvbHgouxcztKyZQ09SDLMskRfuyfG4Sm/ZVc+B4E8vnJhEb6u1etNFqXDbTgyda6DFZuXBWIkaDmvc3nuDeK7L5y6dHPEjR2DAj15yXQa/Jxv1/3Y3DKbm5x8RIX25aNpb7rsiirdvM+l0VXLk4nftf2oXJbGfxtDg+2lzskckzMSUYi83JfVfl8MLqfDdxK4oCK+YnExnsTVuXecTg/G/2VvHI9ZNp7ernhdVHAJiZGcHuow18d6DWY9tL5yWxckEKNoeTBbnR3P2n792P7TxSz+XnuLIC1++soKndRGSwN+fPiCc2zIgoCmQkBCLgCnM/vckzOy2YOy+byOotxdx/RdZok+cofhBWm5Nukw0/b8+wZ39vDSerB6yEPyRLHcUoRjGKETBKAP0HwEuvQpIk4sN9CA3QY7Y6+N0b+z1WqD/fXsYfbptBv9XBq58fQ6tWsGJ+Mr1mG3HhPnyxo3xIDoTZ6uCpdw5wy8Xjh2TNXDwvyR0iOT83GqNeTWKkD9GhRrz1Kp44Tf1zJmpberluSQYvfVrgtlPNy47CS6/yIH/AtQr30icFPHzdpCEEkL+PFoNO5cryGAayDN19Fu65Ips/rc5nbGIAf7htOt19NgxaJT5eGhxOic5eCzrZTIjOSVyGgFOlZ395IzWdTpKi/IgIMmA0qHljfSHJ0X5ccW4a2fFeGDRQ0WJj86Em+i0OLluYwvZDtUzKCEOrVvD+sUYWT4vj6z2V5BU1IcmuNrMrzk3DanOwalEqJTWdHmG24MokyEkLIb+4hehQb8YkBDIpI5Q31xfSb3Fgd0p8d6AWP28Nv75+Ml29FvyMWixWB129Fm64YAxKUUCjEDyCvzt7rcOqoAA++a6UO1Zkuomt2pY+4sKNQ7bzN2pdgZQ/MTXATw0Oh8SciZHsKWggOz2UdTvKhyU5j1d2sHhqHEaDmh6TjcPFrZTV7eVXV2ZT2dCNLOMORl21KHXY91IM2FQANIrhbRlOQeSDjSf5/ki9SzGkFFk8NZac9NAhbVTgmmwX13QyLs7fgziwSS7ScU5WFNsOeU6eIoO9mJQRSn1LH+dMjsHhkNDrFCgdJl67NYO+rm68fO3cvTyZv35ZPkQBd9HsBLbkuTJ3Pvm2lLkTo3h+9WFOnHZNaWw38ZdPCrhzZSZx4T509VqxWB08dN0kvs+vp7TWZSFdNDkGb4Oab/fXcNXidKoae/hgIGNFEKC718zS7CD+fMtEXt5YSUFpOy+uyWfpjAQumZfEfS/uIjnKD41K5NEbJrO/qJGkKD86eixcPC8JjUpBd58VX28NjW0mnnn/ECaznbk50Rh0Kmx2J/dekc2ugnqeeueA2851zuQY5mZHce+LO8kramR+bgyLp8bS2Wvly10VdPZYuPGicVhsTjbsquCcKbHD8hySJPPch4d44uZpLJwcQ2ePFYNWhcXm4MU1R7ju/AyCfLSsWpSKRqWgz2wj2FdHv2n4ENv/NFjsMq9+cWzYx9bvLGfhpGi0ih8/+RkMPT5bC5NC6Wq4Gy53rqvXyo78WhblRuN0SKcytkQRs0NiX1ET9a197svriapOfvXSLp6/cyYXzEzg0MmWIUTFuVNcTV83LxuLyeLgnQ0niA71ZsqYMN7beITWgeypqBBvbrtkPCnRfsNmcM3NjsJud5IQ4UNpbSdP3DSNtdvKuPvyiRw+2UJBaSuBvjquPDeN376+z0Ol9sWOcu5elcVFs+LZsKeK1m4zQb5a0uMCqGvu4/X1p9RqO/LrCQ3Qc98VWRjo584LErCJWqqaTBi9NLR2mvnLJ0d4cEUKL16XiGy3YlcZ2F7Uzbo99WzcW4XDKTMuMZD52VF8tbPcTfiMjQ/gmfdPjVWuWZJO/0DNfEKkD3esyARAoxYx6NRs2lvF7985wMzMiBF/z36LA7PVzh8/OMyY+ABmZ0WiVIhDyB+ANd+V8sRNUzlc0oLDKTFrYgRb9te4lbRHSlq5/dJMYsKMtHWbaWoz4eutYd33ZUSFeJMc5cfDf9uDQhQJ8tPRb3FgMts5eKKFxEhfvHQqJODv02eO4n8Zg+e972mFKuAaw9kcEl29VvyN2v8fuzaKUYzivwCjBNB/AERBwGp38ub6Qn7788nUNpu5fcUEWjvNbNpXTX1rHzaHxN8+P8oDV+dQ29yLSqmg32InNNBAeKDBnbdxJvrMdhwOCYNW6SYqBMFFUoQM5Elsyavhna+P4+OlYX5ONFEhXoQFGNyh0mciOtSb9TvLPbJ0JqQE8ddPhzbg+HlrWDgpBi+digeuzuHbAzUcGiCCxiUGuVcmRVFgUkYoU8aGoVKIlNd3syWvmrhwXx58eTcms52yui7W7ShHr1GiVIrcevF4OvssTIvT0Lf3NayNp9q6piXmMGbCJTSZVbz1pSuToM9sZ3FWEIG9JWTWfIajt52U0EQuvOEi2mUfvstvIr+klVkTIzl0ooW7L5/I7oIGZkyIYFZmJGqVgo4eMx9vKaGz10JKtB+/u3Eq3x2ooaqxB4dTRqsSWTY3ibe+KuLcKbHIuLJNfvvaXvdEbnxiEG98WUh3n41N+6oZnxRIelyAm9xZuTCFc3OihqzY9/TZWDI9jpRoP5ySzL6iRvYda8ThlDFbHZze9xQWaKCje+gE5uK5iahEcI4q0P/lUCLz4DW59Nscw9oGBlFY3kZcuA/Hylq5aHYiGfEBNLSZuHZJBgadiq92VWIy29GrFR7EnSC4Grn2HGtk495qbA4n08aGc+7UWPxOe31ZFHh57VEOF7eQGuvHvOxovPVqWjr7OVrWytycaL7NG6ro2ZFfz7j4AI//mSwOXvviGKvOSeXeK7LIK2qi3+ogMzmY0AA9Tklm3Y5yGttN+Bu1PHlVKsq9r9NR66pu7gBS4sbxwo3Xcterx+i3OvD10nDh7AT6zQ63nUStUtDeY/Egf07Hh5tOcvHcJGqb+1i/s5KiijYWTYnl+vPHoFUrsNmdtHT0s2xOIu09Ft4ZqI72N2p5ZGUimqo9SHs/wCkI3Jo6k95Z2fz2oxKa2000tpmYMjaM1Bg/HnszD7PVwZj4AJSiSE56CDf9YSuiKKBTKzDbnB5kQlFFO3FhRtLjA9i0r8pDaehwSmzYXYnDKXHOpBg27q1i9eZilAqByWPCWLEgmSBfPfUtvdx1WSZRId5o1Up+cekEdhyu42iZZwi/wyljMtt57M396LUqrDanm2TcsKuSmZmRRIV40dNno6PXSpCPjp8K+q32ERuXJNmlckkI9fq7eWxZELA6JCrruhEFgdgwIxrF8ES4wymz+2gj0aHeLJwUQ6CPju4+K1vyaiir62LP0UbmToxEAShVCix2ibVbSzl4ohlfbw0XzEzA4ZR4fX0hsgx2h8TabWVcvSiNx34+hRPVHew60oCXXsW5U2Kpb+3jL58U8NiNU3nm/UOolCLXn5/B42/u9yD/apt7eeTVvfzh1unc/cIOpNNuDwkRPkxMCeaJt/O4clEqY+ID6DHZqGvp5Ym3apk8JpR7rshGFODVdceGNINJMvzpo3yevHkax8ramD0xklWL0vDx0vC7NzzHFnqtkjvPj8O7egf2wq2ITjv6+FxSk2fzxKdFOJ0yv7k0FseGp7C3D4RQCyILM2aTcdl8nv6khDsvm8gz7x/ir/fNoc9iJyzQQGObCRlXzgmyzNiEQFQKEZVC5PYVE7DanGzeX01RZTtRwV6cOzWO7w7W4q1XEeyn99jHAB8tCyfFEB3qjd0hoVG71NAlNZ1YrA62jWCLA9i0v5plsxN55bOjrFiQwjmTY2luN6FRKbHYHVQ1dhPibyDMX4/V6mRPQT0RQV509lg5Vt7GNeelu/Kc2kwYDWo0KgVrvith8/4arlua8Xcdr6MYRcsAAeQ3hABy/d3Y0T9KAI1iFKP4hzFKAP0HYHACceOysRw82crn28vo6LEQHeLNxXOTqGjo5sudFTR39KNWKfhoc7FHq01EkBd3rZzIsx8c8pB6D6Kn34ZWc4oAUipEnJLMRXMS+d0b+7EPWCfauy28Wn+MhZOiWT43cciEQyEKTEgOYun0eF76pMDjMaVCHKIkyEkPYeGkGD7bVsbH35ag1yqZlx3Ng9fm0tNnY/P+apKifBkTH8CyOYkcON7My2uPuiZcCQHcfXkW9a19HnJwWcb9OdbtKOehlan0fP57bC3VHu9tLTuAj0pDbdC5pMX5Y7Y6ePH2KWhLNtOx/3P3ds7ePCxlB/Fach+FFb1cODMBAUiM8sHfqKWhtY9PvivlvGmx2OxONu499T55x5tJi/Nn+oQIDDrVQFtaALuPNlBQ2sbJqk5+cekEDxtW+sC+nD65mZsdzfun2brWbS9jdmYEasG1Gm1xSFhtTkRRoLqxhy++L0etVDAjM4KHr53E86sP091nQzmg/hAFWDQ5hode3uPxnZw/I56kCJ9/2EI0ih8HWXaRQHqNEo1KMaQefRBajRK7w8ktF4/naFkbv3vjlOVHrRS5+eLxpMf6o8AzOtSBwNPvH/JowVr3fTnbDtfy7O0z0QyIgfqtTvJLWrj14vF097lUZB09FqJCvLlwVgI56aHDEkB6rXJI8LHV7mr++XDTSWZNjOTiuUl0DwQ7KxUif/zQpYS5dkk6uYlesO2vWAfIn0FYKo+iFd/jb7+8meP1FsxWB9/m1VBY0e7eJsRfP2K7F7iyEYwGDXqthe4+K/NzY0iO9uOtL132LF8vDedNjyM5RmDjababh1ckotryDLbuU9ZNx9416Px38bfbH+bbwl7auizMnBDhQaoXVrRTWNFOenwAKqWI3SENUf6BK+fI5pBIi/Vnzbclw+77t3k1PHfnLLYeqkWjUnD3ZRPZc6yBv3xSgM3u5KrFacSH+/DSJwUoFCKJkT7MyY7knMkxPP/RYXeYc1KUL7XNva5r4hmB0l19VpraTbzy2VEevCaXMKMG5U+oBl4xgpJtEFr13x9kLwsCWw/X8eHmYvdzRFHgZ+ePITctGOGMFxIEgYWTonE6ZdZ9X05jm4kgPx1Lp8cze2IkOwvqUYiu9sV9x5po6zIzKSOUBbnRvLPhOC9/dpQFudFcPDfJ3VhVWN6OzeFEKcCE+AAyEwJdBK7Dia9XAEumx7Ejvw67Q2J+TjQbT7MGnw6rzcmuggZeuW8ee4410tLZT2qsP3aHxLMfHGL6+DDGJgahVAiYrQ6uPDcNtVqBLMm8+eUxLp2fQkHp0DZPcBGU9a29/PbnUyiqaEcUBRpOUzMN4r7liXjv/Rv9LaeVP+RvQFGyiweWP0R3vxPnxqdx9p5G3soS1sKtROiMTExORK9R8qsrsymv68bfqCMtNoAQfz2V9d1MHRfOziP1XDwvCYvVwdptZXyw6SReOhXzc6NdJRkfHkKjVmDQKunttyOKLnK3o8fC0ulxzMyMZH9RI3/++AiiKHDe1FjS4wNY/30FV5ybSs8I5CK4zp3dBQ0UVXTwyN/2kpMWQm5GKHp/FbsONLC/qBFZhiljw1g4KYb2HgvL5ibT2++yiv91bQGFX5265nnpVNyxMpOPtxQTFeKNOJoBPYq/Ay2dZlRKEb3Wc5rma9CgEAWa2vvJOCMfaBSjGMUo/l6MEkD/ARAEV/jwvsImdwAhQE2zKw/jhvPHkBHvqk5/5r2DHuSPKLrCiN/feIILZiZ45MMMIjbUyMSUYAJ8tLR1W9hd0EBYgJ6XPj3qJn9Ox+b9NSyeGsf152fw/saTWO1OJo8JY9GUGI6UtPLml0WkxwWwfG4S7288QXl9N62dZqJDvd12rkBfLQtyY/j9OwfcBFe/xcGWvGq89CompgZzvKqDrQdruO+KHJ776DA6jZKl0+NxShIHjjfz2Bv7ePSGKW57zJmobupFtPQMIX8GYT25h/RxF1DdbsdsdWB09mHav27ohrKEY+db3HXBfai8/Tla1kZ0qDePvLqX9m4LogATkoP57Rkqq9tXTOC7A7W8sb7I4/8Xz01i6Yx4vtxZgZ9Rg79Ri06j5Lxpsfj7aHnuA1dwtlopcvG8JGqaetxyX3BVz1psTpRaJYdPtvLp1lJuWj6OJ9/Kc+ecWO1Ovs2roaiinZ9fOJZ3vz5BR48Fg07FXSsz8ffS8Ke7ZlHZ2IPd4SQxwhetShwy2TkToijgkF2kgc3hxEunQqsUkX5C+SH/aVCLAvNyovl6T+Wwj49LDOREZTs9Jhvf53vWNtscEi+uOcKLv5yN6jTLiygKlNb3DEuSdPfZWP99OZfOTQSgo8fCkunxnKjqYOvBU7aH2uZeXlxzhFsvHs/YhECOlXtODBdNjsHp8CStjHo1KqXILy6dQElNJ/e+uBOLzUlEsIHLFqTS3WfjzpWZ7MivIztcwnEG+TMIS/lhjLNNGA06lAqRMQkBVDa6MklmT4xk2rjwISqF06FUCAgCVDf1MDMzAi+dyiOQvqvPyoebTjI2IQCzzUXUjEsIQFd/yIP8GYS9owFr5RG89amMTQzkjS+LhmyzaHIMHT39zJ4Y6XGdPh25GaHsOtJAn3nkCaZTkukz2/j1dZMwGlQ8+/5hagYqs+PCjRgNGt74sohrzkunpLaLivpuhNpu5mRF8uA1OfzujTySony58aKxPPfhYRZPjcVoUFPX0se+QpciMDXGn6rGHqx2J59vL+O2S8fjcPx0Zp16tYK4cOOwjVc6jZIg379v5VsUBWraTHywydM6K0kyf1t3jITI6QR5qz1IDoXoItTeOm0S39pp5s0vi1gyPY4bLxpLSV0PT79/0H1v+2x7GdGh3tyzKotN+6rZsLuS5+6cyefby3AM5D+JA9bbM5WdKkFmybR4d95ReJBhiF36dBRXdzJtXBgmi53a5j52FTTQY7IhigKrzknj6z1VbNpXhcXmKo5YNCWW7NRgrjo3nd7+4Zs0B9FtsvHch4e5bmkGX++pGmIjDgswEOxswn46+TMAp6kbbeUewiLS6OsdXrlnK9jEpUun4tSpWPNdKWmx/oQG6FEIAuV1XWSlBpOTEUprZz+yJPPUuwfcv02f2c66HeWMie/iysVp1Lf0EeCrw9TUy/sbT3L35RNxOiU6eix8urUUvVbJHSsyKavrcr1XeTtXL0mnvK6blFg/Wo94Kpx9vTVMHx9OdloINU09KERX9fuBE81ctTiNh/+2x2PhZldBAwWlrTx6w2T2HWugsrEHURQpLG/3eN0+s53nPzrMr67MQa0WUZxh7R7FKIZDS5cZP2+NSxF3GkRRwGhQ09Y9vEJ/FKMYxSj+HowSQP8BEATXhHukScWa70r42QVj0OtU7mDBYD8dl8xLxsdLg8lsx9dbg49BzUebiz2yRq5YlIpOq8RsdbCvsInwIAOP3jAZhShSMkyOwCD2HG3EZLHzxM1Tsdqd9Jhs/O71fe5VyQPHm9FplNx7RRavfHaUb/ZWsXJhinsSds6kWD7dWuox0JkxIYI5WZEUlrdT09TL1LFhLJ0eh4TEqkWplNV2cfBksysrY0oM/kYtX3xfxqLJMewrbMJqd3rkJ0QGeWHv9RxseUCW0Il2Sms6mZQRCp11jLT05uhqJsQgc8Vz20iI8CU3PZT2AQtVsL+e6ibPiUhytB/N7f3u5o/T8enWUh68Jpe65l46eiw8cfNUlKKATqXAZHXyxM3TsDmc9FscbD1Yy95jnnXhoiigUSk4XNLKX9ceZdEUV1j0mSG3AI1tJnr7bTxwVTYAz90+A7VCQJYkNCKkR/kAAyqzHyB/NBoFXf0OnvvwsNvep1UrWLEgmRnjwv/lzTv/rZCcEhfOiqegtHVITtcl85I4cLyZWVlRrNteNvzzJZk9xxpZlBPlbo8RFaIHmXMmdhY0cP70eBSAt0HNxJTgIVaOQbz79XFuvGicBwF07pQYgn11Q1rAtEqRu1ZmsrewiZ1HTpFVeo2KyoZuEiN9ae+2cKSkFXHq2S1HHe2dWEQ1z35wiIQIH37zs8mY+u1szqvmtS8KufGise6Q5jMxdVz4gELPxOXnpPKb14Z+tsvPSSW/uJUJSUEcLW1jUqIXcvneEffHUrSDlPkTqG7qpa7F83dSKkSy00P4w7sHeeHu2RSWt9PYbvLY5tol6TR39HPVeWl46TwbAE+HRq1wqasQaO4wc+XiNDq6LXy+vYxL5yWz/XAt1y3J4NkPDnlUxX+9p5I7VmTy8n1zyS9pwaBV8stVWXT2WOg22RAEgQWTYli3vYzJY8PchHVBWStWmxNfg4qfypRBKcCdKzN58OU9HuomhShw3xVZA9e4H74eScDarcOfVwBf7qrg+iXpyKcdYxa7NGLW2sY9VSyeGsczp5E/g6hp6uWzbWXMz42moLSVwvJ2ZmdF8W1eDRfOSkAlCkPUlwqliNUhoVS4VG8lNZ1099kI9NV5LAqcjrBAA6IoUN/S53HOXrEoldVbitl26JS9qd/i4LNtZUxMCebp9w9x0awEQvz1IwYmR4d4U9vcy478OmZmhqM+o01wXLwvqorNjEgjtZSh9PEb6VFkm5kQHxVF7VYmZYSwq6ARSZKZPCaUtLgASmu7mZAcxC3Lx/PsB4eGvWUVVrSzdEY8ZqvDvTDU3m0GGV757JjHebntUB1Lpsdx4awE1u0o5/wZ8TS09HL1knTyipqxDVxPL1uYQliAgfK6LswWB4mRvvzxjpm8/dVxJGR2FjQMa0ns7bezv7AJq93BhbMSuefP3w/ZBly/g8XmwOmQEFRnV7eNYhQAbV1mjHr1sI/5GNTDZpSNYhSjGMXfi588AVReXs7jjz9Ofn4+BoOBCy64gDvvvBO1evgLJ0BLSwtvv/02u3fvpqamBm9vb3Jycrj77ruJiBg5TPBfBZVKpKa6a8THe0w2QgMMWO1OlAqRxdNimZ0ZyR/eO+gxkMvNCOH+q7P5/dsHUClFVi5IISRAzz1//t49kKpq7GHvsUaevX3mWevQVUqRwvI24iN88DGoeWF1/hBJutnq4J0Nx1kyPZ43vyyioLSVB6/J4e2vjhMZ4uUOXQWX9SkzOYiOHgveBjVrt5bS1WclJdqPVeemklfkqX4qru5kbEIAt1w8nr5+OwqFiEGnIjzQwIbdlRw62cLiqbGgH1klgKhApTOQHh/AvsImFkef/XAXFAoeu3EaHT0WNu87pSoaDHA9HTMmhPP17qoRXyvveBNXLErlsTfzuPfKbAJ9tNjtTlSCTIBBhQMVD3y4x00ynY7p48NRKUX395cU5csb64dWRg/iaFkbM8aGYR2w4J0+Mfp7VhplUcBsl+jssvL4m54V1habk3c2nMBo0JCdFDBqH/sHoQJ+c8Mkyuu72XOsER+Dmrk50VQ39vCn1fncc0XWsMfCIBpa+4asBJ5eMz/k/ZQiDFgNjDoVVQ09I57rvf12gv30zJkYiUatYG52FP7emmEJP1mSiAkzerQzgWuwGhZocAUv59UgyyCpDCPuHwhICi0b91Qxe2IkG/dW8eLHR1g6I95deV5U0c49V2TxzPuHPJSKsWFGVsxP5qVPClg4OQa7XXJXNQ/CoFUSGeTFH947yIPX5BLir8chgaAY+RogKFV0mRwcKe0gOsTbI5x+XGIgh0+2YHdINLaZuOLcVPotDo6VteHrrWHquHAsVgf+PlqOlLQS6Kt1vUazZ8C9Winy6+sm8daXxz0stpHBXjxwTS6lNR0snZHAu1+f8CB/wHWt/ssnBTx7+wzS4wLoNtn5dGspxyvb8fHSsCA3ms4eC5fOT+bzHWXuc18UBCw257Bqz/9USJKMj1bJc7fP4EhpK4UV7USFeDNtXDh6lfh3kT8ATgnaznJetXSacTplj1am3n77kIDyQYQFGiiqaHOHAp+JXQUNTJ8QzjmTY5BkyEoNxumUSIvx81D+iKKAUxDYfqSBr3ZXEmDUcvV56ew8Us/2w7VcsSht2PwrQYA5WZGs3VpKVloIe05bPBibEDisAtjP2xXM3Nhm4us9VVy2MIU/rc4fst20ceGcqOpAq1EiSTLhQV4cK2vzUAc6JJBVI5ObkqUfZcDIYyhRo0dQqlnzbbGHerGsrstdn/7s+we57dIJQ86d01FW18XYxEC6eq0kRPgwdVw4O/LrhpCyAF/tquTh63Ixme0E+umYOj6cE1WdPHXrNArL2weq4R2EBhros9h59+sTdJuspMcFuJRGrb18uXN49SbAgRPN3H7pBFq7+s96jrV3m0mI8MFql376A+9R/MvR0Wsl1G/4RRSjQe3OCBrFKEYxin8EP+mliO7ubq6++mrsdjsvvvgid911F2vWrOGpp5466/OKiorYsmUL5557Ln/961+5//77KSkp4ZJLLqGjY3jp8r8SKlFAoz57L0RXnxVvvYoHr8khOzWEx9/KG7KKl1fUzMETzfzxjpncviKT+AhXjsSZ8zhZhr3HGpmYGjzi+w3mSzS192NzSCMOiKubegkNMCAIoBBFIoO9WDY7kbAAAxrVqc+0eFocnb0WDhe38M6G4zS0mei3OMgvaeW+F3cxMSWYsEDPCeN50+MoLW9A2d/KpAiJaG87678vY/KYMH5+4Ri6TTbKO0AVmjDsvhnGzKKpX8HYhAC+2lWBzRAKI0wA1SFx5JX14XBKmMx2DLpT27V2mokI8nI3yADuet6R0Ndvo661D6XSlaPwyKt7ceDKtnAACAK/vm4SgWdYGcYmBHDlolTMllMhqFa7E4N25EG3t06N0/WSPxqSILL1UB2/fW0v5XVdI9puPtp8Euso+fMPQwZauyxsPViLwynR3Glmy/4q0uMCeOHuWfjo1SRG+o74/PFJgR4TSKdDYtHkmBG3P2dSjCs0GpeaIsRfP+K2AHqtguuXpHPFwmSCvNVnVXt191mHXFM6e63oNEqMerX7vMivMaOOGTvsa2gSs9lbZqK0ppPoUG/AZXn10qvc10KFQiTAR8tD1+Ry3dIMls9J5J5VWSyZHsdzHx7mglkJvP5FIR29Qyf445OCyDvuyt565bOj3Lx8HFZRh5A2d8TPZZh4Difr+5k1IZz5OdEe55NWo3DbZ2wOJ956l6Vn8aQwLpnkS6S6GyO9fPjNcdJi/DDo1PxyVRbhZ1zTVi5I5pu9VUPy1epa+lx2FwT6LY4R1ZkOp0R1Uw8dPRYeenk3B080029x0Nhm4t2vT7D3WCPVTT2MiQ90P2fa+HD6BixCPyVIkoxKgCnpIdx4/hjOzY1G93cqfwahUgikxIysSMmIC0B5RpuY8izEqk6jpPssTWoOp4TdIRHoqyM6xJuYUCOrFqa4zydBACcC3RYHf/zwMG99dZzWTjMJkb4U13RyzZJ0unptNLWbWDYn0eM3UylFfnbBWAor2vHSq/ExqLl2STqzJkZi0KnoM9uHJXkjgrwor+8CXAtAR0pauf+qHFJj/Qjx1/PL5cm8c+c4bpwTwJx0b+5ZNRGtWkG/xcHH35aweGosly1Mwd+opaCsHSFtzoifX5MymSa7EaUxaPjvL2sJFZ3CsNbVhjYTpTVd6LQqZNml9hoJQX56Kuq7eeT6SUweE0ZytB/fH6kfcfvC8nbS4/y578WdvLG+iHc2HOfuP31PU5uJc6fGMX1COGu3lvDq5y4FUb/FwcETzdz34k6CfPWEB3qN+Np6rZK2bjMGjQpfb82I2wX46AbsqD+t83AU/3/Q2WPBewQFkK9BfdYFo1GMYhSj+CH8pAmg1atXYzKZ+Mtf/sKMGTO4+OKLuffee1m9ejXNzSN76LOysti4cSM33XQTU6ZMYfHixbz22mt0dHSwbt26f98HGIDVIRER5DUk7G0QKdGuAawsw+rNxXSbrENWvAfx3YFamjv6efq9g5itjiGryIPYuLeKaxanYzQMvcFceW4qGrWCB67JJSLIcNaBGIC3XsUj109Gp1FgtUt8uauCtdvKmHFaNataKRIb5uNe3T8dkiTz0ZZil6JnANPGhZPiL5FcuQbx84cQvvg1ftv/wE3jeujt7CQh0pe3virij2tLEebcgjYq/dQLCiKGjBmQeRHvbqlw1blmRiDrjHjP//mQ9xfUWoQZ1/H+tjpeW3cMUXBNmjy/1xquPDfN/XdFfTcZZzQknY4xCYHYHRJ3rMhk8/5qmjv6OVzSSkuPhfzSNj7YVMxT7x5g1Tlp/OrKbG5aNo7HbpzKbZeMx+mU0WpU7u99d0EDc7KiRnyvrLQQnn73II4fObAURWjpNvPBpmKC/PRDbC+no63LgmM0t+AHISoE7DJ09Nvp6LdjxzWhbO2x8vAru8k73syeo43kFTXx9Z5qHn9zPzqNktgQL64+L23Y1/T11pAWG+BBAMmyTKi/nhkThq62R4d4MzMzAkl2bS9JMoG+Ogwj2JISI33RqhTYbA5sNucPhuvqNMNfp97beILYMCMZca7z4v2ttZizr0ITN+G0rQS0idn0jL2ET3fW4WfU0ndaLklLR7+79tbHoGbH4Xp+8/o+Ng6QJq98dpS/fFJAeX03je0mMpODKK3tZGxCIKdDqRTdodsdPRYee2M/1Y09qGMnoI5IHrLv2tjxtKsjOHiyma2H6jHoVNy5MtN9fays7yEjPoC4cCNKhciz7x8kxujE99jHdLx1N+3v3Ivyq99wbUw1TQ3NGPUq6lp6WbUolYevzeWOlZk8/YsZZKaGsOdow7Df32BrkPQDP4DTKfPlrophVSj7i5oI8NERFuAi/PyNWlYuSCE0UI/d/tNRAJ0Oh0PCZnO47Y8/BpJT4qJZCUNIHnBZ8aaPDx9yvOs1CiKDh5/w91scHuTamYgM9qKr10qAj5a6ll60SsGDTLUj8PzqfGqae92Nd+CyGO4vbOJkVQf3X51NkJ+e8YmB/OmuWdx92UTuvmwiv79lGodONtNvtjFrYiQltZ0cPNECssxdl00c8fzu7bfh531qoWH74TpeXXeMuRMjeO6qOBKPv0HXu/fQ+d69yBt+T7zYiMVsYcOuSqaODSPveDNhgXpWLkjm6iXp9KiDUCdOGvI+qqBoekMn8tSn5QiL7kEdfBpBLSrQT1yM94T5rNlaPuS5g9hb2MiK+cmYzPYh92D3S4kC6bH+TEgK5A/vHuSDTSfp7bed9fiw2p3sPNIw5Lc+Wt5Gc7sJq9XJ/qKhY0anJPP6+kLOnxk/4mvPmhjJG+uL6Lc6uHhu0rDbxIYZ6THZXASX+ic97B7FvwFmqwOzzYm3fvhz2sdLQ7/VQf8wRQSjGMUoRvH34CetRP3++++ZMmUKvr6+7v+de+65PProo+zevZtly5YN+zyj0Tjkf6Ghofj7+9PS0jLMM/61sDtkZGTuWZXFk28f8Mjw8fXWcPmiVBSiQFVjDz39trMy/3aH5B7knI24MZnt2BxOnr5tBnuONXC0rA0/bw2zs6I4UtLCA3/dDbgGtPdflYMoMGwriZ+3hvZuCy98nM/dl03ky53lzMuJxsdLjdGgoaSmk5qmXrRqJcXVI2cO1TT1EuR7SqVw3fwI+tc9jqPr1KBM6u/Buu0Npi64lSP1viRH+YEADWYtnTErSc1VIjgsyGoDPQo9jW0SN5w/BlmWmZEZwT1/2ceCrBCuuvppeg9vQuhtxRmSjCM6l2c31LgzF0L8DdS29DIvJ5rvDrhsabsKGjDoVPz251PYmV9Pe7eFi+clcehki8fvBRDkpyPIV8fv3znALcvH4W1QkxrrR3ldF37eGpKj/dCoFK5msjX5KBUieq2K3n4b1y3NYEteDTlpIfzqqhyefDuPoop2lkyPIy3Wf4gt4MJZCZyoaqewsoO2bguhPhpk2bXSrFCIyDJDQkcHISoVfLXLFebZ0WM5q0rEaFCjEEVG60vOAsEVzPznNUfcahEvnYpfXDKBsvquYc+fmuZe6lv7iAv2IsRXx0PX5PDqukL3sTgmIYCbl41DI+JR+wwgyjJXL04dCCWuxmaXyEoNxtdbwwMv7+aBq3II9FIjSTJqER68OoffvL7Pw6bg46XmzpUTUI5wfg8HrwErZkObp92iqb2fT7aWsHJBKgdONGOxOXnwneOsmLmU7IkrUEkWvP182XConU/fOY7NITE/N5oNu07ZKwJ8dO5cD4vNSU1TD5PHhpIeF0DgwGMHjjcxZWwYft5afL3UhAUYmJUZya//ttdNjJ+s6uCSecluwtkpyew+2sChk83ct/xqYia04zy5HUEQ0I5fwIluL5597Sg2h0RheTvf7K3i19fncvuKCW7bY4i/nhA/Pc+vPszV86PR738Da/0pm6tsM2PZ9wlJk2S2H5NIigmgpKYLrUZJTVMPheVtLJ4Se9bvubvPilIpnjWnJT7Ch798cmTE1yir7SIrLZifXTCGhEgfRFHAanfi/T/aGKxWityzKpv3vznhJrnjwo2sWpTKm18VcdvF41GfdqtUiwL3rMrioVc884c0agW3XjwejVokNcaPk8Pczy6dn0xnj4X6VhPZqSEI8qkrpqgQ+WJbOVqNkmNlntl1xyvbyc0I5YNvTrKvsAkvnQpBcNnRjAY1S6fHUVLbic0uMXNiFL9+ZY/H4s6O/HqevHmqx3kZ4q/Hz6ihpcNMSowfSoXgbpDr7LWQHgztqx9Ftp0aTzi6mula+yQ/v/oP3PlWGTcuG4dSKfLI305lZylEgdvPP4+klFkoS7eBw44zfiqayDQeebOQti4zD31QxhVzriVlugrBacOm0HGkTSbdOrKSFVzamLrWPrYdrOXWS8ZTWttF42nXGUGAn184ltVbiokLN7Jkehxrt5VxsqqDzJRgDp0cfvyWmRw84jkT5Kdjd8HwpCxAeV232xp7Zu7a5DFhyLJrwt7VZ2VsQgC/v3UaX+2sYM+xRgRcwfBXL07n3hd3ctOycTh/QlbMUfz/waASeyQFkM/AwkRbt5lorfe/bb9GMYpR/PfgJ00AVVRUsHz5co//GY1GgoKCqKgY2lJxNlRWVtLe3k5CwvB2oh+Ds0nIh4MgCNS19GHQqXj+zpkUlLZS19pHYqQvCRG+WO1O6lv7KK11WXRC/EaeqOs0SmRZZl5OFBHBXnjrVcM2f3jpVKiUCjp7LczKjCAnLYTmjn6eeueAR517XUsfm/ZXs/y0StvTcc2SdKx2O0/dOp3efhs56aH0WxyU1nYRHeLNstmJyDLoNAo0mpFtboJwysLk66VB3ddEX9fwKi5n3hqSFvyKA3oVS6bH89S7B7DanKiUIlcvTifAV0tJTScBPlr8vbU4BpqUnJLMNweamJgexfcdE/H3VlFVYubYN4UeK4MqlUiIn56UaD+mjQsjv7gVQYBJY0IxmR3oNQqUSi07Dtfx4DU5fLa9jMLydpQKgSljw5mfG82fP87H11uDl17NuVNiOVHlyhUx6FS8+vlRapr7mD0xkoeuncRzHx6iq891w99+uI7c9FDWfFfCTcvGMj8nim8P1PKnj/K5bmkGS6bHcbyyA5VSZFxiIPklrXy503WsF5a3ET05BrPdSWuXhcLyNny9tYyJD0CvFofogxySTGeP632b2vsJ9tej1yqHXVVaNjsRg1qBdCYL8X/EYN3zD9U+/1j82HPwn4EOk50n3zngcSz1me089d4BHr52Elq1Ylgr5eHiFlIifXA4JNJj/Hjy5qmYra5adZ1agVJ0qf+Gs/CYHRKvfHaUcUmB+HiJbNxb5Z7kvvDxER65fhKagfrv6CADL/5yNvklrdQ295Ie509ylB96tYsoVGtcx8jZVtIFATp7bPz8orH8+eMjHkrEEH89y+ckkV/czB9um86b64sorGjng201VLaHMy8nmodfz3eHV87JigIZdzB2oK8Wh1PCbHWQGutHcowvKqVI20AbisMhsSWvmvk50WhUCp54az+S7LKrzsuJ4mcXjqG7z0ZFfRf+Ri0pMX4kRPi4A83BRSr98fNyfn39JPaodExMDaa+xcprX3hmbDklmT99dIRrl2bw1ldFZMQFMG18GL5eGvotdtKCRey7TjIcbPlfkbskhyMNvXw8UAUfFmDg1kvG02e2o1SIQ0jjQfgZtXy0uZjLz0nlT6sPD1EsLMiNdgfXjgSdVondLvF9fj0RQV58tLeY5XOSUCrFf/t58f/jPDwTXb1Wjle1s3JBijs3q7HdxN8+P0ZrpxmT2Y7e6GndCfRW8/wdMymsbOdkVQch/gbiwo28veE4sixz9+UT2bi3is37qrHYnMSGGbl4bhJN7SaiQ7156p0DnDs1jpXzk5AHfmurU+bbAzWkxPgNsXyX1nZx6fxkN/E3SO4oFQKXLUwhLtyHvONN5GaE0G+xk5sROoSMeH51Pg9fm8ubXxZx3rR42rrNtHT0s3CSN4G+Oh68Jpen3jmAzSExLjEATe0B+m3DLCbJEr171/LLFav44LtyxiZ6Kp6ckszz68rw89YwJWMB8yZH8vyaQi6d5yDQqKWty0xnr5UX13uOwVYuSKagtJUZE8KHLU8AmDw2jF1H6imt7eL1Lwr51ZXZSLKMxeqks9eCl07Fpv3V7DnayK6CBu5cmUmIv57vDtZy7xVZFFa0Yz3jGjsmIQCH0zlsk2hDax8atQK1auSxiSi4FFqzsyKZOi6Mw8WtIMuMTwqirqWPA0WN3Lkyk3Xfl/PSpwV46VScMzmGP/9yDpIk0W+2Y3c6yU4LdhOy/2475j/rPPxX3a//m/GPfGc9AzZqX281imHUi/4D16uOXivxET7/hL38z8LocTaKUfzr8ZMmgHp6eoZV8/j4+NDd3T3MM4aHLMs8/vjjBAcHc9555/2f9kkUBfz8zhZ+OhSNbSYkWearXRUsm53I/qImVEoFBaVtNLaZ8PXW8NufTaalox+rzUlvv23YgFGA82fEExniRVy4kb99foxrl2Twl0+OeKw6C4KLuHlt3TH8fXSsmJeEKAr8ec0RD/JnEF/urOCZX8wgKsSbdTvKaenoJzbcyOXnpNLXb0Oj1rJpXxXbD9Vhc0j4G7VcNDuB2HAfHntjHzqNkhULkpmQFDSikmhCUpBb3RISoMfaOJRsGoSju5UAg4hKIXKyqgOrzYkowCPXT2LNtyUcO62GVRDgluXjmJgS7G5HUShE9ha1DGuhEAWw2ZyUN3Tj760hLNDAsjmJmK12Nu2rpq3LwtzsKAJ8tDR39KNVK7huSQZt3RacTolDxS289vlRZmVGMH1CBJ9tK2PXaauLGpWCuy6byNptpWzYXUlheRs/u3CsO5TTYnWiHSDKPt5SwmM3TmXquHDqWvrw99HipXMRfGV1XXy1q9JjIhngq8MmwdPvH6KkpuvUZxIFfnVVNlmpIR65THanxJiEAPf3/tHmYn55eRYvfVrgntgLgqv+el5OND5nyTf4v8JoPHtj1I/BP3IO/l9hszt5a2PxsPYpWYbvDtYwbXyEW1F2OgKMOry9T33+oVe0kVFV3EJrl5nvDgxtBKtt7qW330Zo1KkMFF8gIthzxbC920xFQzfbD9ehUSmYnxtNRJAXPl7D/97vbirhWHkb1y3NwOGUaO00Exqox+mUeXHNEa44N82VLXJ5Fla7A0EQ0GmU9FvsXHluGmark6gQLw6eaOG1L44BLoLk3iuz+MO7B0mK8uWCmQk89Nc9bhsXQGiAnpuWjePp9w6Skx7KBbMS+Xx7GdlpIWzaV011Uy9hAXpCAwxUNvRQ1djDjcvGkVfUxI78Oqw2J1mpwczJiuLltUepbupl/Z5afrlqIr7eGrrOyL/q6rMS7KfjmvPS6e6z0thmwumUMRo0yD0jW4xlmwWjWvKoML/+/Awq67sJCzIwPyeKb04LmR9EcrQfjW0mKuq7yStq4sFrcvl6dyVldV0E+Oi4YMCGsvNIAxNTQ4atChcEl9rh92/n0dTRz97CRmw2BwIyKpUKne5fdw6fif8f5+HpcEoyrZ39HKvooK3LjFIhMi4hkM93lHsQEFqNEj8/A919VnpMNuwOCW+9CpVKZH9hIw6nTElNl0fA8l/WHOG2SyewMDcGq92JyeIibNq6zTzz/iEkGbYerOWcyTH4eGnwN2pd92+7kxNVHZw/M95N3A/ipU8LuGNFJgWlrXyfX48ky/zqymw+21bG3z4/5rHtqkWpLJoc43Ec6dRKRAGuPDeNR17d60Hk+xu13LMqiwevyaWpo58wHyVSwbcjfne2hlIiZivJiAugZ5j2K3CpFL7eV0dmWjgpMX7ER/iyYmGKu33udOg0SpKj/Tha2sbYxEBSov0oPiPnKjLYi6QoX9Z8W8I156WTHOPLvsJGvjtQS0ePhSnjwpiXHc2x0/KzvtxVwfycaD7YdJIPNxXz4DW5bNlfzdGyNvRaJfNyohmTEED+CMogSYbOHiupsf4jlmLkZoSiVAjszK9HlmVausyEB3pRVteFKApcNCeJR1/d6x5P9JhsfPJdKUdKWrnmvHR6TDZO1nRx0ewE/Izas+b5/SvwrzgP/5n36/8V/JjvzOp0HeNhwcYhBSQAXl5aVEoRk036/3qN/Vdj9DgbxSj+dfhJE0D/LLz44ovs27eP119/Hb3+7GGpPwRJkunpGV66PzJk2rrMXDQ7kSffOUBrp2e6f1evlT+tzufWS8az5rsS3v/mJHdfPpG1W8vc7RwqpciFMxMYmxDA8coOfLzU7mDJp26bztd7qqhp6iU80MCcrCi2H65zEyV1zb3ctHzcsCtkgzhS0kJOeih3rcxEEAXK67qw2V2NOAdONFN4GunS0WPhjfVF3HDBGK5anEaQn35AYi1wy/Lx/OXTAo/X9vXWcO3SDI5XtpMU5Uuwnw6lT8iI+yKodciiEqVSpH5AKXXTsnEcON7kQf6Aa0D30qdHeezGqezIr0eSZPYVNjIvJ5rN+4dOwmZnRbG/qImNe6u4YGYC1U29nDNZwyufHeV4ZQc/u2AMRZXttHWZSY31p7XLjNXqICMhkGfeP8Al81JIifZj55F6jpW3k5kczCPXT+Llz47S2mnGanfy4pp8brtkAn947yDVTb04JZlp48KYPiECnVqJwynx0LW5bN5fTW1LLy+szifQV4fZ6uD688dQ3dRLUYXn5xRFgXEJgXy2rdSD/AHXMfmHdw/y0j1zMJyRPzA3O4oNuyvptzioqO/m7Q3HuWpxGnqtEq1aSZCvDp1aRHY46Oz85/vNFQoRo1FHT4/ZbVX7vw5o/rFz8P8GhwTVTT0jPt7QamLymNAh/xcEV0NeS4cJ1Y9cFBYEsDvOrgbp7rPR3tmPOIJ1z0UYHvQ4Zrbk1bBwUgwr5yeiPCNZXKkUsdklmtr7efaDQ3jrVfh4aejstbrC07VKwgMNyA4HCkA/WHnsdKJXiWQnB9JrcbLraAPjEgOJDTMSFmCgpbOfwydbuPGisaiUIr9/54AH+QMuldoX35ezcFIM63aU8+gNk/liRxnB/jquOjcdi90BsuuY2rSvCqNBzerNxWTE+3PD+WPo7rNyoqqDx97c72GD25JXw8wJEazfOVQ1arY6eHntUX5/6zS6+6z4eWsxWx0I+uFDbl0/jIiXt4GpY/VEBBlo7ugnPMiLhjYTT76Vx+0rMpFkeSAQXHaTNktnxPPM+wcB2H20gaZ2E/ddmU1nr4W6lj6qGnsYmxjIdwdr+NVVOVTUdw/JgrvxorE4HE4mjw1j3Y5y6lv6iA03IogCFsvZc1LOxE/xPByEKAo0d1t46OU9Hqq79d9XcOdlmfRb7JTWdhEXbkSnVlDV0M3zq/OpGFCLeelU/O7nU4bNhQEoquzAZnfy9Z4qDp5oRqdR0tLhKkwYxGBg98Y9Vfzy8okoRYEJSYEcKW3jWFkb58+I9zjmunqtvP7FMR6/cSqzsyLRKEXyTrRw4DSiT6NWMCszAqNeTVZqMJWNPRRXd5KZHMTCSTHUtvTx2rrCISrOjh4Lb31VxOQxYXy9p5LpY0NZ6jNyCYTSGECfVSYzJRiz1THsuQGQGuuHQavE7pAoqenEbHVw2yXj+XDTScYnBbusZ6JAZLAXr31RyHXnZ/DkW3ncsTITk9nBpv1VOJ0yk8eEERnsxerNxTx24xSKqzt568vj6LUqVi5MwWJ18MaXRVQ39nLd0jG88LFrwaSh1USgr2uSWFLTyZNv5zEvO4qnbp1OYXkbWw/V8sE3J/nNzyZj2F2J6YzvRakQ8dKpsTkcXLEobUiLmr9Ry1WL09lT0EBCpA8pMf60dPS7lD8nmhAFAX+jlttXZPLXtQUe6qPS2i4kWcbHS43Z6qChvR+dWoXNPPI460z8Myb3/8zzcLj79SjOjn/kO6tt7MGgVWLuH7nl1mhQU9fcQ2fn0Oa7nzr+046z/2aSbRT/u/hJE0BGo5He3qEqmO7ubnx8/j5Z5Jo1a3jppZd44oknmDJlyj9lvxw/0uOtViupaughJsw4hPwZRGVDD7IEN5w/htfXF/LMewdZPC2OC2bFIyAQEWygpdPM2m1llNd3E+irY9nsRDp7LZgtDi6Zl0xeUSM1TX08/f5BrDYnEUFenDM5hiA/HXqNEqNBPSIJ5Out5cudFUwZG8azHx5mxvhwzpsWh19KMF19Vqobe4ZYzfYebWDFAteKoFOS2ZJXwzmTo3ni5qnsO9ZIa5eFlBg/IoO9ePur41x5bgoxoUaKKtrp9QpAUGmQ7UNvgF4TF/H+9gZau8xMHhPG3Owoapp72DTMqvogjpa1MW1cGDuPNPDtgRpuWT4eL72KTXurMFkc6LVKFk6KISbUyItrXIPL/UWNPHL9ZCRJ5sYLx3LgRDPygPR779EGPv2uFIVCcNdnP3bjNN7b6GriGURpbRcBPlp+cekEHn9zPw6njMniwOaQMGiVmCwOCsvbWDg51sN+p1EpuOycFLz0aiw2p9vW8+KaI9x7ZZYHASSKAvddkYVTkticN1RhAq5BYEFZK1PSQjxuqHq1yJM3T+PVdcc4XtlBbXMvX+6q4MYLxxLiq8XpkJAcEv/qW7DTKf3o8+Zs+Ge+1t8DUSESHeLtnkCeichg7yEreYLgOp+/3FVJgFHDhTPikX7kYCc80NVOJw2jZgvy1bmyvuxOlMOQS0qlgl1H64cQhgCb91cza2IE4b5aj1VxSZKZkxXJjnyXmq633+5x3k8dF45Bo8Q2QmugzSlgszuZnBHG4WJXrbpGLaLXKlEoRLr6rPh5aUYMtzxS0sriqXGs21FOQ2sfi6bE4nTKPP3+wVPnjlrBFYtSkWQZjUpJj8nOZ9vLRswga+s0Mz5xKKGj1yqxO5zcc0UW7244wZHSVhZOimZOViQtdg2BXn44+4a+pj45l4JaKy9/UUxogIFL5rmCYdduK0WS4c8f5zMnO5pfXZWDQhQIDzTgcMo0dZjITQ9l77EGxicHc/GcRGx2J2u+KyUuzIgoCrS093P7pZms+baYm5ePo761j5NVnQT6apkyNozvD9fxymfHWLkgmdkD1yUvvRqNSoEsy//28+Lf/X6DcCLw7AeHh1guHU6JVz8/xs8vHMvr6wv55eVZOCWZh17Z43Hv67c66OwbefIFrqbHmRMiRrzv5KaHUtfcx+KpcVQ09NDVa+GSeclMnxDBextPMDc7mgeuziHveDP9FjvTxoWTHOVLn9lOQUkrfkYtX+8+lY+VHufPigUpbNpXxUebi/HSq1iQG8150+LwMah58u087r48a8Qmx0GbWXu3hW/213LZL87BVPDdsNsaJi/j6S9cC0y3LB9HUpTvkOYuURRYPieJZz84TEePBVEQEARYPDWW3/xsCl/sKGf15mJ0GiVzsiO57ZLx7Cqox2RxlVNsP1THrcvHo1SKvP5FIau3FPPr6ybx3IeHPT5DQWkrU8eFseqcVN7beAJRFPDxUtPdZyM80EBb96kxk9XmJDzQwOfby8jNCGV+TjRLpydg0Kp45vYZbNlfw7rvy5FlSIjwYdWiVA4XN+PjpSE1xo9Hb5jMvsJGekw2MpODGZcYiITE+OQg3lhfRFSIN+9tPOFRmHC8soPUWD9uXjbOreQdRF5RE23dFqobe7jvymyaO81E+uuQfyhp/5+Mf/Z5+M++X/8v4Md8Z23drgYw51maV711Ktq6zP/Vv8PocTaKUfzr8JMmgOLj44dk/fT29tLa2kp8/MitDYPYsmULv/nNb7j99tu5+OKL/1W7+YNQKQWigr09AicBl10hOwqlKCIILhm1RiXymxumUFzTgdnqQKtSEhFsoLyumyfeznNP1npMNp794BDnToklNsyIze7knQ2nVrcWT4sjOcqXtdvKqG3uZcn0WO6/Kpvefjui6Kpp/WZvFT0mGz5eaiKDvUiI9OHltUd54Ooctuyv5p4/f49TchEiv7w8iw82nfQYJM7JjuLFT454WK027avhuwN1ZKeFcPHcRF5fX0Rzh5EV85OpazHxydZSFk+No0fSE3vJQ3SsfQrJemr1SpeUg2rsAgKs7Ri9dUweE8qfVudz/ox4t296OLR1mZk+PsLdBPLSpwVkp4XwuxunYLVJdPRa+D6/ni8GBoc56SEsyI3hhdX5FNd0olErmJcdxZLp8Tz+1n4aWk+tuqz5rpQjpa1csSjNg/wZRHu3hb3HGpmZGcHWg4MTZxtajYsA8jao+WJHmYf9zmp38vZXx3no2lwPYs5sdaBSiDx581QKStvwN2oZlxiIRilgdUhD8g9OR0ePFeEMRYfTLuGrU3H3ZROx2J0gg0YlolEIozfeHwHJKXHBzHh25NcNsREIAiybnYBeqyQs0EBJTScGnYrkKD++PVDDroIGVEqRRZNj+bEFMTq1yKXzkli9pcTj/4NWkKrGbjJifZGHGUhanBKb9o5Mmn6zt4qbLhyD9TQyRpJkIoIMjIkPoPAMFZrRoGb5nESkEVRJTkHkz2vyOVbezoPX5LKroIG7L8vko83F7Mh3VTjHhHpzwcyRc9hcoeauz2LQq8hOC+GxN/d7fOdWm5M31hfx5C3TGBOv4JNvi4kP9xmRAEqK9qWhbWgD3pXnptHWZeVYeStHBixDm/fXcMP5Y1B6GzFe9AA9n//egwRShSfhPecq9mysocdko8dk44m38nj+rll0D1hpJNnVKtjS0c+KBcm8+EkBRRXtqJQisydG8sc7ZrHtcB2PvraP+67MJibUm7S4ANRKEaVCwMdLw03LxuFwykQGeRHmb2DHkTp+89qpgO8135bw6+sn4+utQQAsNgc+eh3wv9EaY7I6PMKDT0ePyYa/UcvTt05HpxI5WNI6ZOFDkmQUwsiSPFEU8PXWolaKZCYHkV/imWlj0KlYOiMei83Bn1bne9gLI4O9eODqHB5/K48d+XVcc146E5ICkR1OZOCDzaXMnBBJb7/NvV8+XmounpvEE2/ud6uMuvqsvPXVcS4/J4WiinYEQRjWwn06Bs8dq91JrVmH34KbMH33OkiDzxPwmnwRB9sMHCt3WZff/LKIX67K4lhZG1sP1mKy2BmTEMCFMxP5ek+lW4W2+2gDf7htOiaznUde3efel64+K0dL24gP92HGhEgmDliRi2s6OVrWRniQF5HB3hgNGr47WDssgbXnaCMzJkSg0yhpajdx9eJ0vPRqAnxcmUPL5iQCEBvqIkqPV3Zw4Hgz4xID+fjbYmqaejHoVCyZFscr98+ju9eKUqngqXfzuHnZeH77+j6iQ71ZMi2epdPjsDkkPvmulL+uLcCgVbJwcgwrF6RwrLxt2LbMk1WdzJkYRViAgcb2U8edt0HDvJwoyuq6eeb9g/xyVdaIVrNRjGIQ3X1WDCO0Ag/CWz9aBT+KUYziH8dPmgCaOXMmr7zyikcW0DfffIMoikybNu2sz92/fz933303l1xyCbfeeuu/Y3dHhMMhkZHgj8MpuzNyfnaBK9D05U8LMFkcKBUCsydGcv7MBNRKkdDASDQqV6hsc3s/r647Nuyg4pt9VSyaEotWo+CBq3PYcbiO9h4LMaHe/Gl1PiqlyO2XTsBoUPPCx0fczTMZ8QHcfflEPt9exrVLMlAqBfrNTm5fkcmjr+71sB4cKWnlRFUHD12T62Gv8Narh1U0OZwS+wobWTQlhvOmxVFR101+aQszJ0Ry7pRYXv+iEIdTIinSyI2LHyVM3Ydk7qVHFURerZX3nssjemCgNyE5iOLqThrTTaTH+g+ZlA4iNdaPsAADE5KDqG/tIyLIiwtmJqBSKvjlCzs9tvXz1rBwUgy/f+eAW1lhtbnk/kUV7VwyN9ktQT/1HC3fD0xih8OuI/X8/tbp5Be30tlrJS3Wn6ALxoLgaiH51V92Dfu8r3dXMmtipEdehM3uJCHUm8jJMciy7FL0SDJKhUhMqDfVTUNVcQDjEgKGldNKkoQI6AfDBmUZh2N0hPpj4aNTcf9VOfx5zRE3mWvQKrntkgn4GdSU1nfz17VHiQ7xxmJz8NHmU5lBdoeE2eZA/QODvjMhOSTmZEURFmhg075qWrvMxIYZOXdKLN8eqGHF/ORhyR9wTXItNtckLcRfz4WzEgj01eEcsCVVN/YMaR4DUMgyd1+eSVevzbXyLwooFSJhgXpUA697JkSFyKfbyt0WTackYbM7KSxvd5M/SoXITcvHIZ5l4u3jpcZmd6JRKwgP9OLLnRUjTqY+31bGOVNiOHdqHKIo8N2BGg+LDriyh1bMT3ErMGSgtLqTsUmBHClpJSXGjzfWN3k85/X1hTx+01Tq7T44Z9+Hv9iHbOpA8AmjpE3mvZeO8Mj1k7HYJeZlR6FSKkCWeezGKaz5tpRj5W0YtEqWz03kN6/tdTcz2R0SW/JqOFbexpXnpqFRKzAa1NS39LFuRzkRQV78/MKxvPRpgbtCPCzAwGXnpCAgeNjaJBm6TVY6esxkJgfT2NZHsM//Tp7CD9kGZFlGies4P3FaHbsoCpwzKYbstBBEUeCJm6dSWN7O+p0V7nM6Jz2EZbMTMVsd2O0iNy8fR2ltF598V4rZ6mB8UiDTx0fQ0WPmrS+PD8mWqmvp44NNJ3n+jlnIsuwi2wfIEgfQ2Gqio8dCR4+FMfH+HDjRwoLcGD7fXj7k+AWw2SXK67qx2Jz4emlGJBi0agWnn1rPrC7k/ivGE3D1HxG66rFarOAfRa+sI8SpxMermu4+Gxabk9+/nUdmSjA3XDCGlGg/JFmmrcuCIAgE+enITg1h4aQYRNFFHJ9ORF06Pxm9VsmLnxyhu8+GKApMHhPK72+eRlu3mZrmbhZOiqaupY8/fnBoxN/sSEkr83OiGJcYyOvrCymvc6kto0O8uWZJOsVVnXjrVfh6a8hMDkRUKHj2tNczme18/G0JJbWdTBkTht0hoVIoqGp0WXdrmnrZsLsCtSrRQ8ljsjj4fHs5FXXdXLs0gw27K4dVSu8tbCQzJYjGPacIoMQoH5wS7D3WyLVLM+g32/HT/aSH3aP4N6CrzzpiBt8gjAYVVWexnY9iFKMYxdnwk74TrVy5kvfee49bb72VG2+8kebmZp5++mlWrlxJSMipDJmrr76ahoYGtmzZAkB5eTm33norsbGxXHDBBRw5csS9rb+/P9HR0f/Wz6FWiPSY7PgbNczNiaav305Hj4W128rc2zicMt8eqKW1y8xVi9MwaNV09Vp55NW93LJ8PC0jWMdkGRrb+jhR1UFJTScJEb6sWJDM+xtPcN60OJZOj6N7YJX69EFNUUU7dS29/OG2GbR3m2ntNOOlV1Ne3zUkdwJcBMnWg7VMHx/uDls+s+nkTPT121ErRLz0KnYfbWDv0UamjQvnT3fPot9sR5JBrVVS3OWFUhOOwy5RWFeD1S65lUYWq0ttsLuggZ9dMJaHX9k9JGQ6NECPQaeiq8/KkmlxhAd5Ud3Uw98+P8pFsxMJ9tN5fH8LJ8Xw2bayYSeyg+SKn7fGY6VSp1EQ6Ksdsb5ZkqGuuY/rzs9g+6E6Dp1s5sNNxWjVCi4/J4ULZibw6dahwdeN7SbGJZ2yp4iCy/YjSTKiKGN1SoCAQnDVF19//hgeeXXvkNeJCzcS4q//p0jPRYWIbWCCpVaIP9q29F8LWSYl0shzd8ygt9+OLINRr0KjEJAkCT+jBpPZ7g7dPh2igEdA94+BWoSYEG8mZYQiCAKNbSbe23iC65eOwTjQCjjs81QiE1ODKa/r5qrFabz+RaG7QlqjVrByQTKOYc4BSRDYd6yJ9zeecFtswgIN3HtFFv6G4QNOLQ6Jb/NOqY1USlerzrrvy91/P3zdJGoaexEEl/pxuErn5XOS2JxXzR0rMqms76KpfeT8g6aOfirre2jt7GfpjHgeu3Eqf/m0gNqB8PyslGAuPyeVJ97KczeRadQKLpmbhNMp43S6iFBJHriGaFU0tptQqxSYLHZKqjtZu60MnUaJQaeku6/CTcJsO+jKFfrjh4fdqrywQAN3rsyktctMSXUnG3ZXuskfj/1u76fHZOPW5eN59v1DbkXBtUsyePaDQx7X6cZ2E89/dJgHr8kdIJZU6LVK1+8ow+GTrSRH++Fv1MEIOVD/jfDSqdwW2zOhVAgE+GgBF1kZFeoKRRdFgbsvm8jBE8088Xae+/qfHufPfVdk8ewHhzhvWhwatZLfvr7v1LEfYOC+K7O4/dIJFFa0U1zdyRNv7efuy7No7Rr+vnysrB2r3YleKXjYPJSiiI+XGh8vDZ98W8x9V+VwuLiVxEjfYe8PWrWCrLRgmtpN9PbbcEguQvjMhjCA5XOT2Fd4SqEa4m9Ar9fz5y9cZIooCnT0HAUgJdqPx2+ayr1/3onF5kSS4dDJFg6dbOHJm6dhttoxemlIifZlYW40FruTR1/by88uHEPe8VOZRSkxfnjrVbyxvsj9P0mS2XO0kfqWPi6Zn4zNLtPZayU6xPsHjlCZaeMjePS1vR5K15rmXp58O4+Hr5vEk2/lMT4piOsvyODXfxt6HwTIL25l1TmpdPVZEQRPwvrcqXF8fIaachAFZW2YLA7uvmwiv3tj35BxhiTLnM6wXX5OCnuPNhIV4s2l85M5WdVBVIg3giD82y1go/hpoavPRkSQ11m38dGr6e13WbzP1mI3ilGMYhTD4SdNAPn4+PDOO+/w2GOPceutt2IwGLj44ou56667PLaTJAmn89SAoaCggN7eXnp7e7nssss8tr3ooot46qmn/i37PwiLxU6wn47K+m7OmxaHze7k0WEm8QAFpW1IEpyobGfb4Tp6TLYRK0WjQ725fGEqDklCrVJwzuRYFAqBp987xINX52B3SpTUdlHf0scN549BkmXe/uq4u5K8u8/G4eIWth6opayui0WTY2gahtwYxLHyNi6alci2Q3VEh3oT6KMjwEc7rExVrRSJCzfyxw8Pe+SmVDcVuypdr8ymqKyND7456W66UipEVi1Kxd+o4es9VYCr6Wgwn0CpFLjvyhw++a6E8vpudy37vJwoPvm2hJsvHs/Jynb6zC6bm9nq4JPvSrhl+Xie++iwe2IVG2501zcPhxNVHcSGGensbcWgU3HNeenotUqa2vs5f0Y8IQF6PttW5l6lB5g8Joz9RY3kZoRy7pRYnnr3AOCqpX7zy+Pcdsl4wgMN7gn4IKJCvGk57Tu/aHYiaoWAJMC+Ey2s3VZGZ4+FpGhfrjo3nchAPb/72RReX19ITXMvaqXI3Jwols9ORIn8f5oCiqKAxSmzbmupW+00MzOCi2YlohGHV378r0FyyqgAf/0pImTwe/ExaIZYBAYxZWwYWpWCYSU3PwBZkvHVq5g2Nox+q4MJSYGsXJiCQpZGzOIBECWZC2Ym0N5l5tkPDnlMlq02l2U0xF9PRrSfW1GhUIjuiubT0dhm4uFX9vDH22eiUwlIZxAbDqfsoV44WtrGuKRAOgfI5BvOH8Nn20opKG1DqRD55eUTCQ/04tsDNZitDkL89ayYn4yvl5px549BFAQsPjriI7qHZJMMIirYi5bOfrbk1ZA7JpQvd1Zw+4oJqBQidoeEXqvkvr/s8rDeWm1O3v/mJDdeNJYZmRFYrQ4euX4S9a19dPfZWB7hg8XmwKhXu4PvzVbHEOvNwZMtGHRqj4lqY5uJ376+j4evm8TsrEge/OvuEX+boop2zp0S6z5WEiJ9qGzoHlZ5IMuu7X993SROVHXQY7KxfK4PceFGl/1WlvE2qIZtX/xvhUYpcN35Y3hxzZEhj61YkIJGISBLrkyk7NQQ3v36BDMmRFBQ2sr2w3Ue2x+v7OCdDcd55hczqGrq5al3Dng83thu4sGX9/DcnTPZuLeKxjYTeq3SXeU+Emx2J3ql5xBMkGWWz03G4ZCYmBqCLMv89udTsDsklAphCGF440Xj+HBTMVctTqO+pY/Vm4tZOiOeAB8tG/dU0We242/UctnCFOIjjCRH+TFrYiR2h0R9Sx+ltV3DEq3FNZ3kF7dy7dIMXl571P1/rVqB3Snx2Jt5hAboeejaXPotDn7/0i63PVOtFN1E6MJJMXzwzclhP//gYsq67WVs1qp49IZJTB4Tys4jDcNuPzMzkryipmFtzg6nzLaDtUwbWIC6dH7yiHmK4PpNp4wNw+ZwEhd+qnfRx0s97PXZ/b1Uu0icrLQQDhz3DAifmxVFbXMv58+IZ0JyEPsKm9iSV8PSGfGcrO5g2rhwQvz+OYswo/jvhSTL9PbbftgCZlADrja+EP//W3nNKEYxiv89/KQJIICEhATefvvts27z3nvvefy9bNkyli1b9i/cqx8HpVKBze7kzQ3HuXBmPGlxAUPCK09Ha5eZ6FBvjg7UodY295IQ6eOWRANEBHlxzXnpPPfhYY+BaJCfjl+uyqKtx+IROgyuFeq7Lp/I0+8ecE8Gi8rbCQ3UU1bXhdnmxEs3coWpt15NbJg3j1w/iWA/HRqVyHVLM/jjh4eHkAOrFqXS2mUeNjS3ucPVCHSsrM2j5tzhlHhnw3G3lc1kcXC0zFWj/vDLu9m0r4aIIAPTxodzybxkZGQOnmjh6XcPcsfKTJ778DDXnJfOI6/uJchPxx0rMnn2g0O8vr6Qm5eNo9/qoLffRoi/AZ1GOWKegpdeRW2zE41KwT2rsnhnw3G3jBxc5Nadl01Ell1kka+XhtlZkTz2xn58vbWU13cNGch/ubOCBZNieGfDcff/BAHOmxbHnz/OJzrEm5ULkkmN8UOWZD7cVMzWQ6cmKkUVHdz/1108ct0kkiKM/PraXOxOCYUooFG6VDr/12GnVYIH/rrbQ/n0zd5q9hc28dSt0/n3ltv+9KAW4eHrcnn8rTyPfJKxCQFcc176P0T+DEKSZETAS61AqRTxM2p/sB1EkmR8DSpKajo9yJ+0WH+mjgvHz1tNU3s/KZF+DFLMNqfM+5uKh329fouDfYWNTB8fzpnrkWqlSKCvlrYuF+GzaV81sydGkhztR2VjD1qNkoJS1/XM4ZR45v2DTBkbxoPX5GA0qFEpFVhtDiTZFc783saT7Cts5KFrcvk2r9YjZwxciqr5udE8877LAtLWZUGSQCEKyMC7Xx9n+oSIIblrg1j/fQWBvjqUCpEn3z7gcR1KivLlviuz8dKf/Vo4aK87HQIuK4qftwYvvWrE67y3XuWhJIwK9qasbui1EiAzOYi4cCMP/HW3x34mR/vyy8uzeHN9EddfkIHPwIThfwGSU2ZCQgC//dlk3v/mJLXNvYQGGFi5IJnECB/k044XrVLg0RsmY7E5eOqdg8O+XkVDD/0WB42tfUweE8qB480ex5zZ6uBYWRtP3DSVDbsr2XqwlgCjdsT906gU6IeZ4LmOBpmdR1w18CaLgxA/PbUtvUwbH86Ow6dsxiH+emwOJyqFyMmqDrfK5vmP8slMDuJnF44l1F+Pj7eaE5WujClBAJVCgclsR6UU+W4YpdAgth+u47aLx3v8b+n0eHy8VDx0bS7F1Z0oFSKfbStzW872FzUxY0KEu57eoFUNqxgeRF1zL0F+eqoae9h1pIHLFqZSUNrmQXT6emu4dF4SQb46jlcNb/EGKKvrZm52FODKvBq00w8Hfx8t7V1mfnl5FodPtrB4Whxf765EFIQRQ/XBpfz10qnITQ/1IICSonxJivIjPMiAQhTp7rNyuNj1eEKEDzuP1DM5IwyNRoE8qpgdxVnQ1+9Sv59trA1g1Luu5+09llECaBSjGMWPxk+eAPpvgCiCQqFgbnYUBp0r2O1sQYF6rRKdRkl0iDc1zb1s2F3JbZeM54+nreKvWpTKS58WDFmFbO0002+286fV+UMIjsY2E+u2l7FoahxtXWaSIn0JCdADMnOzonA4JQw6FbsKhl+hWzQlBovNiZ9Ry8ETLSRG+aJQCDzzixms31lBZX03IQF65udEY7Y5+Gx72bCvA/B9fh1zsqLcNfenY/vhOh64Jgez1Ulnt9kVeH3HTDbuqUSlEAny07FpfxXt3RYSIny576ps1m4to6K+m95+Gz+7YAyvfVHIB5tOsnR6PJ9uLeXtDccZEx9AbLiRL74vc9ejD4fM5CDW7Shnfk403x2o8SB/AGwOiRc+zueBq3M4UtLKhOQgXl5bgMMp4eutoadv6Cp+bUsf4UGnqiaNBjW3XjyeyCADv79lGkpRIDjAi85OE902pwf5MwhZhr+tO8bvfjYFJTKKgUyff4ZFS6EQ2Xq4btiAzs5eK7sL6pk3MfI/orLzPxWSJGNQifzuhsn09Nvo6rMS5Otq4BN/5KqwIApYnTLdfTaUSgFvnRr1GSosURRwINBntmNzuPJBBpUP7m2AsgEFTbCfjtsumUBFfTd7jzWg0yiZlx1Fn9WOYWAfJaCuZfiMKYCa5j7yTjQzLSPU47jTKgWuWuwipMEVQvuXT47w84vG8dWuCg6d9FxNv2hWImnxAWzeX01bl4X4CB9yM0L58JuT+HlruHB2AodONvPV7kruvCyTt7487p5o+nppuPq8dLYerHVf4yKDvZg5IZwt+6vJSgvmF5dO8LDYnonGdhMRQV7c/sftHqQKuNqUjpa2ct60uGHVE+Aibr/e43n9OH9GPOlxAWw7VEuwn54bLxpHS0c/XX1Wth+q87ALzc2OdlvVgAFievhB/tIZ8Tz5dt4QUrmkposvdpbj463G4ZT+55QHgiwTE2TgV1dk4ZRlRATUCoY068iSTIS/js5++5Df+nRUN/VQVNmBv1HLr6+fxLod5Rw5Lfy5uKaLqRmhnD8tlnNyo2Eg62ZfYdOQ17pgZjxa5Sn7rCwKWOwSTR0u615kiBdrt5axJa+GrNQQls9J4Lyp8RRVtLtJ1HGJgRw43syCSdH8+eMjHq+fX9JKfkkrSoXIc3fMICnKn7+tO8qxsnaMBjX+3hquXZrOnmMjf167Q8IpuXIJRVFg4aQYIkO8uOv575FlGJcUyNycKI/jdH9RE49cN4mjZW00tJmQZZciaLjsIgA/o5bYMG/mZkehUSlQKUXuvyqHfYWNHC1t5YJZCXgb1GzaV43J7CDQRwcMH+bub9S6befVTb3kpoeyr2jod69Siug1SrwNak5Wd5KbEYpCFMhKCaKhrY9pY8PZWTA0z0+pEIgK8aa5w0R8uJG4cCMKUWTa+HCiQ7zJL2nh9S8KSYry5arFadyzKpu/fX4UURDo6rXS2mVGOWqZHsUPYFCBb9CenQDyHliAaD8LwTqKUYxiFCNhlAD6D4CMwNYDrhXxx9/MIyc9hIkpw2dg+Bu1dPVaefb9Q9x/dQ5PvXOAjh4L7359gnuvyOZ4VQfjk4IQBIa1Xuk0SkwW+4h17z0D1bbrdpSx7vsy9FpX1azRoOHFNUdYNieR82fEs/60UGJwZXbEhfvw6ufHqGjo5p5VWfgbtTzytz1o1EpmZUYwfUI4nT1WXlxzhJmZEWcNexUFgeRoXx68JgebQ+LQiRZ2FdRjd0g0tZvw89bhpXcSFmDgi+/LOVrWypyJUWSnhXC4pIWkSD/SYgXqWvp4/M0898C+trmXYD896XH+HK/s4IbzxxAd6k1zRz+xYUZ6+22U1HRy/fljKK7upKyuy2O/blk+jkA/HXeumICfUctvXts37P5bbU56TDY6ui389vV9+HhpGJ8URGqMn4fKZxDhgQYiAr344+0zsTslBAEcdgklrkm6csDmp1IpKC0ZSooNoqm9H4vdiZfqR9ZJ/QDskszeo0Mbzgax+2gjMydE8M991/8+SJKMAvDTq/A3qFwk74+cmMuCwPYjDXy0udhttfDz1nDfldmE+rpUB05JpqXbyu/fOeAmFpQKgWWzE1mYG+0mnJxOmbhwIyqlyG2XTOBPq/M9VuwPnWxh1sRIpo4NIyXah5YWE6EBhhEblsIDDewvbCInNcTj5uJwSKTH+HHnikw+3HwSfx8tabH+VDd2s2RaHBsHFAM56SFcPDeJstouHn9zv/v5J6o6+PZADfesyuLVdcd448siVp2TymtfFNLRY+HuyyficLpa8Cw2Jxt2V1JS45oo+htdNtSX1h5lyfQ4wgK8KKvtIibMyEgI8tPRY7KOSAiU1XWRER/AvAES+HRMHReGKAqkxPi5baBzsiLR61Q89e4Bpo8PZ0xCAN/sraaivptgfx2Xn5NKc2c/qzcXc/XiNJQKgUA/HaoBO01BaSsPXpPLxr1VHodLZLAX1U29w2YJAXyXV8uzt89AqRTPer39b8WgMs51XZJxjiCslSUZnVqBQhSGqMkGodeqOFLSisMpsfVgLY9cl4u/Ucvh4ha6eq3ERxhddnOHhFIAZJkbzh9DgI+OLfursTmkgfDvJGZNiHATAZIo8vaG4x4LK3HhRu6/Oocvvi+nor6blk4zggC3LB9PXUsfR8vaSI72I+94EwIjt385nBKCKPLYm/vxM2p44OocTBa7K39PpWRWZiRFIxQnZKcF461X8fQvZgCwcW81f1qd7z7+jpa24XTKhJ1mXZYkmedXH+ami8bR0WOhpaOfOdlRbNo3tG0wPNBARlwADa19bNhdiSC4gssTI33p6rNy1Xnp7D3WyJY81/lVVNHOHSsyR1yAmp8bjUIUmD4+nLBAA1mpwVQ19dDUfkpJpxAFbr14POu+L2fOxCh2FdQTGeyFj5eWtzcUsWxWIhnxQZTXd3nYsUVR4JaLx7NuRzkXzEyguKaLSRmhSBLsPFJPRX03D12bC7gI4mc/OMR9V2bzi0sn8NvXXWOE2DAjDodz9B45irOie2Bs/kMKIKVCxKBV0tkzdFFuFKMYxSh+CKME0H8ATFYHW/JqmDY+nPOmxRHkp2PR5Fjauw94qEt8vTT84tIJvLbuGH1mO59tL2PBpGg+315OVWMPv3l9H7+5YTI78+tIjfUf9r20agW9puFtDwatkivPTeP+l3adNqC08Mb6IrJTg/nzL2dhMjvQqBRMHRfOkZIWTGYHGfEBtHT202+2Y/RSMycrii15NaxckEJuRhj7ChtpaDMxc2IkWpWChZNjsFgddPVZPVZQT8e83Gjyi1tYt6MchUJk6rhwHr5uEn9Zc4T4cB+aO0wE+uq498WdqFUi1y0dgyTJbMmrwaBTkRrrx5e7Ksgv9nz9iGAvPtpczCVzkzle2UF3n2uSPAh/o5bbL53Am18VsXR6PBdo4jlR1YmPQc20ceEcONHMvS/s5Pk7Z9Jvc444WQBobu+ntcvMnSsnIssyNU29nKzu4Dc3TObLXRUeBN/iaXFUNXaz91gju482khDpwxWLUl0+MAFMNonduyowWxwEB5xd7qscIRPq/wJRENBqRr5caDVK1wTzf0xl8H/BP/JVKRQCJ2q7effrEx7/7+y18uire3nh7tkY1AJtXWYeemWPx8TQ4ZRZ810pIf56clKCcDgknE6JcUlBzMmKZNvB2mHtGjsO1zF1bBhmq8Sa70q4aFYCfz0tF2QQGpWChEgfvj1QQ3NnP2EBBsTTbG2iLDMuIYDYa3LJK2rCKctEBHtT09LL7ImRCLisFP0WO29+WTTk9a02Jx98c5LzpsXx9lfHuWxBCmmxfszPdV1PIkO8+cO7B6hs8LxmPnhtDs9/mM9FsxPQqBT84tltSDI8cv0ktGrFsDasC2YmDGtPHYRWo+TLnZWMSwrk4etyOVbWjiTLjE0IpLqph482n2RmZqR7+1mZkfzujX0kRPqQnRbCE2/luX//jh4LJ6s6WTE/mWdun4HZakerVqLVKHn29hn84d2DdPRYqGnu5dbl43nl86NuwsegVdF/lqwZq91JW7eFqBCv/6kMoH8EWqWCWRMjhw1Qjgz2orvPRQhmpQazZHo8pXVdGA1qrl6cjlIhkBzlh+MMpYsoSVwyO8FdLa5RimiVolspKShE1nxX6kFqxIYZufycVCobugnx1zM2MRA/bw1Gbw13PbeD2DAjCZGu82R+bvRZiT1fLw0tnf2uMcWU2CHK3+fvmkVEkJc7BH0QAT5actJCOF7ZQUyokcff2j9E/XnO5BhKaztZOCnG417W3WfjD+8dJDbMmweuzqWt20xtc69HJp5eq+TBgdbQ062OH24qJizQwHVLM3A4XfdznUZJZnIQGrWCupY+Lj8nhdVbStxqR0GAC2clYHc4+fPaAh67aRpKhUhDax+rFqUOtKR14eetJTHKl/U7yzla2kZueij1LX28sb6IlQuSmTo2nNBAA1/tqmTlghQckkRZbRe+3hqSovzYsLuSwyebWbUolbe/KsLmkIgM9mLxtDj8vV0FEA9cncObXxbR3NFPeV03cRE+dPfZ8Ddq0WoU2BwyeuXIFrNRjKJ7QCE+nEX0TBj16lEF0ChGMYp/CKME0H8EBNLj/WnrtrBhdyX1rX08e8dMLpmXhLdBTXldNwFGLaIo8Mb6U009+cUtXLc0g+b2fk5UdRARZMBoUPPNvmomjwkb9p26TTZCRyAQ5mZH89WuyiGriXOyIpkxIYKvd1fR3NlPcpQf45MCWTg5hhdWH+HgySZ+cckEJNmVPdTc0U9SlC96rZKlM+KYNTECb52aV9YepWZALj4hOYibLhrHk7dMo7vPikopcuhEC5v3VxMR5EVEoIF9xxpZPtfl/Xc4ZU5WdXD7pRMw6NUcPNHE5v3VSLLMXZdN5NXPj3ms2ClEgV9cOgGnJHN0IFskPNCAwyHT0GpCp1GiUSuGEDgdPRZeWlvAygUpvLjmCBlx/szOiiQu3AenU6KhtY+rzkujsb2fti7ziCHXAGMTA5g0JpSn3ztIXcupAfbgvkmSzLHyNpZMj8dscfDe1ye4c2Umu482Ul7XzW9f388j109CIQr89vVTrSOPXD8JpUIcVp0wLjEQjVL8pxMxIjJLpsWNuFq8dHocIi6L0Cj+dbBK8OHm4TN4bA6JvONNLMyJ4tCJlhFVAau3lDA2IdClLlOI7DpUy3nT4rnnz9+P+L4Fpa2EBRqoqOtmypgwLpmXzOfbS91EhJ+3hpuWjWPNdyXMyozko83F6DRKbr5orFttJAkCX3xfzpe7TlmjPt5SwqyJESyZamR+bjTPfXiIFfNTRiRWqxp7CA90taP09ttYOj2eN78q4oKZCXyzv4pFk2Px8dLQ2G7C36hFIQoguxp5fLw0PPzKHvdrfbS5mF+uyuLltUfdxJdCFLhgZgIKUcB4lsycnj4bYxMD+eS7UtRKkcQoX0RBYPP+aqw2J4umxBDirx9onNJR29KLJLusYe9tPDHs6fnJ1lJy0kLwMWipaOhmz9FGZFnm+gvGEOKn58tdFfgbNTxz+0x6+qzoNEpEhStwOyrUmw27Kymu9rTHRAZ70dDa5yL6EoZfFBiFC7IkcfmCFHeW1SBiw4xcuzSDP310mAnJQcyYEMHjb+73OEYjgrx49IZJwxatSU4JteBq3YNTFfWCABa7xNbTFGRhgQauWpzmYecGlyX4sRun8P/Y+8/AOKqD7R/+zfai3nuXbPViWbLl3gDjbtM7Nh1CCaQRSgqEUAIJSYCE3hw62AYXbNy7XGR1q/fetZK2z/thpLXXWjnkfu77/ZNE1yfwandnZ/fMnHOdqwT7SXk5YxtDLz44l46eYYJ8dU5KlzHEhHpQ09zH2vlxPPNuvkMxOIZn3jnOr++YyXf5jVLukF0kNyWIvLQQRLvIrvwG7lqb5tL6u3h6OG9sKiE6xIMNK5P5cHu5g0zVaxTcujyFbUfq2Ha4jusvm8qa+XE0dxrw0KsI8tFxvLTNZWNma9cQbd1DCILAugVxJER4c7S4jSGjBbVSTnSoN7+5YwY9/SbsokiIvxsVDb20dg3x+IYZWCw23tpcwso5MbyxuRiFXEZYgBvl9b18uONcIHVilA96jYLimm5kgsArnxcyJcKbVfNiee79E/h4aAgLcONsfS+f7Krg0hlR/PqOmfQbzPzspun0DhrRqhV8uL2clq4hBAHS4vx59JYc/v5lIXWtA0yJ9CbET89da9MYMVpx09pAMTntnsTE6B8yoVXLUcj/uVbMXXfxjK1JTGISk5gIk3eiHwDUShmLsiP41etHHIt8q9XOF3uqyE0JYveJRgaHLeMCS0Wp4IVrL52CUi5HrZI5KtjPVHUyOz1knFxaqg8XyE4M5ESZc+5GUowP3xxytnbNSAkiNsyL37x5zo6RX9rOloMqfn7zdDasSKKrb4SufiN//Oi0Y2crv7Sdrw/W8ts7ZxLq78aDL+3Dy01NZJA7g8MWVs6J4fVNRZw624EoShLrORkhPH//HGSCgCBAbnIQB840o5DJmJsZSly4F4NGCza7SKi/G5/sqmBJTiTbj9Q7kT9uWiW+nho+2F7GnWvSpMahOD/WLojjj/84jUYlx2a3s3xWNPtONaHXKvHz1NA/ZJa8+r0juOmUPHJDFj39JnYdb8Rqr2d2WghLciJQKGS883UpIyYrVyyM529fFo37TqdGeaPXKvlkV4UT+QOSPecvn57hDw/MpatvhP0FzXy1r9rlb+P1r4pZPT/Waff+m0O13L46hb99Uej0717uau5ck4qM//3CZ7tdJC7MkxnJ43MVZiQHERfqObmr+X8MuyDQO2ia0H4FkjVp6YxIapv7Jvybzr4RbKKIQi5gstnZvL+G6JCLf38eehWCAI/ckE3foIm0OD9mpQXT0jWEUiFjaMTCxh3lqJRyYkI9+eQ7qUWvf9iMt1Yp1dN3DzuRP2PYd6qZy2ZEcqSoFRCw/RPycizLxstN7VDv+XvpOFHawYnSDtQqOd7uagaHLUQEurNuYTy1LQPUX5DVVdnYx3tby7hxaSI+HmpsdhFBEFApZfzy1cPce0U6saGeVLtQAiXF+BLkq2Pb4VqGjFYndYNaJWdZXjSnKzt48cF5GEYstIwqLPQa5YSEsd0uolDKeOebEifl4uGiVlJifFmcE8FbW0ro6jMyOz2Ejd+epaXTQEfvCJ5uKm64LJFgX71Ti9VVixP49LtKwgPcSI6eJID+GWSindtWJrFybgy9A0aCfPWU1nbz0sZT9BlM3HdlDM+8mz+OoGzuNPD+tjJuWpqITABhgrEkkwmY7SL9Q2YMIxY83dRO9r218+N49YtCJ/JnYXY4s9NDaGgf5K61aQyPWNl0oJryul52HK3nioVxPHhNJr9+45gT6atUyLhmyRR6B03Utw2OI38AOnpHePy1wzx5+wxmpQVjs4uIokhRdTef765k5ZwYlHLZBEo5yS63/Wg9WVMCeGi0+GCsWl0uF9hxtB6TxcZbW0pQKmT4emoYNlq5PC+KYy7yecZwsKCFW5cnc6inxUmhe7ykjSBfHXevTSM61IPfvX2ctp5hB6H69cFafn/fbKqa+vj2eD3rFsTx9tel4xbJmQn+tHUPsWl/DWEBbni4q1gzP5YdR+vx1CvJnOJPWW0PhVVSK+Ej12dz8EwzT/5dmqMJAuQmBbE4N8KhwBBFiSj/1etH+PUdMzlc2IK7XsW6hfF0DxjRquRoVPLJ++QkLop+g/mf5v+MwV2novki84FJTGISk5gIkwTQDwBmm50v9lQ6LebNFhsdvSPEhnqxcYLWneQYHyobeukzmDhc2Mr8rFDkMmnXYNP+Gh68OlPKHzhez7DRipebmqsWx+PlpubGpYmE+uvZcbQeo9mGj4eGAG8dcrkM+3kTxUtyI3n67ePj3ntgyMwH28q4fXUqZpvIq58XjpvYjJis/PGj09yxOpWf3ZjNwJCZ7gEjUyK8sVhsVDT0OiZudrvIvlPNyGUy1s6P46m3jzntaJ5t6GVqlDeX5kZx+EwLK+fEoJDLyEjw59n3peYWHw8NN12eiEwm0NI1RIC3Fn8vLb+/dzYNbQMYhs3cuTYVnVqBUiknYMRCeKA7M9OCae4ckgJ5NQo27jiLKMKuY40UVJ5biFU39RPsq+eJ23Ipru7CLkJStC93r0vj892VdPSOoFLIWJAdzqq5sbR1D3H4vNwcjUrO/Kww0hP8ERAYHDLz0c6zyASB6YmBtHQNIbvAvtXaPYSnXu30byfLO9CoFDy+YQZltd20dg+RNSWApGgf1BdpMPl/hVwU2bAymZVzY9h9QlpkLpwWhr+39l8OMf53hkIhw+gISBXQKGXYJgg5/d/EsMlGcXU3YQFuTjan8zFltLI9PtwbcB1iHuij40xlJwNDZuZnhqGQyzhR1kFuSpDT73UM0SEeZE4J4Mm/H3VaSM2fFsba+XFsOVCD2WLjxqWJ9A+Z+eNHpxx/U17Xy+yUIBBg88Gaca89hpKaHtp7hukZMErWsQkafEL93ejuN0oLSZMVo9k2StL0Of7GZLbR1j2MIMDVixN45t18qe7exU5pY/sgf/r4NFHBHsxICcJssdHQLpE1b39dwiPXT+NAQYsjfyzIV8eVixKobOxjy4EafnJDNl/srXI0MiZF+7BhZQp//fQM5Q29QCm/vWOmI2/owvF94ffS3GEYZ1sFaO8dJjTAjTtWp9I7aMJqE7nukik0dxrwdFOz+UANr3x+hkdvyeFEWTvuehVXL04gxE9Pv8FETKjnf1QGkFwhw2ixYxdF5DIZGoUwzn71P4FMJlDbZuC3bx1DJhP4/b2zeW9rGRarnUAfHW3dQxPmQh0ubGV2eihF1V2snhMz7pookwn0Dlt46u3jDhLwFzdPd1Jzermr8ffScs2SKeg0Cnw8NBwrbuWpt487rut6jYI716ah10gZYq99UYS3h4o/PDCX/NI2mjoNzEwJJtBXj8VqIybU02WZwhi6+o20dQ/z9NvHnTKQvNzUTIn0oaS2myU5EePIW4VcYG5mKFVNfZw628Gpsx2MCu4QRXjuvtlOhJSU3yfd02128aIKB7VKjlIpY8uB8deMtu5hDp5pISnGl9YLVE8mi42eAalEo7i6m8QoH25flcKX+6ro6jOiVslZkhNBaqwfL3x4krAAN+ZkhFLd2E90iAe/v3c2da0DZE8NZMWcWNq6hujsG+FAQROHzrs2iiIcLWljxGxjzbxYPtpZ4Xisd9BEeV0Pi6ZHMDhsQq9RUFYn1c7LJ23Sk/gn6B/6/gSQh15FUW03oihtXkxiEpOYxPfFJAH0A4DdLnK2oc/p31q7h7gkN4Ly+h4pn+OC1ie1Us41S6bwh42nuGddOlVNZXi7q7liUbxjB+6lj06RPTWQu9eloZTLkcsFqZ5dpaCxfZA56aEszolkcNhMe/cQ+aVtzE4PcbyXn5eGtp7hCe0YpbU9iKKIzWaf0G6ikMtQKeU8e161PEBEoDsPXz+NZ9874fTcvaeauHRGpEs5e3ldLwunhVPV1IcoisxKDx1VQYnMSgtm9fw4XvjgpJOs3NNNxRMbZmA02/hgezkDQ2b8vDTcfHkSCeFePPfBSSdFhYdexYPXZOLrqaGwavxCrLV7iMOFLdy2Kpmth+vZtL+a2FBPrlgo2fVEUbJdPPrqQR64Ostx7vxHG5a2H6nj+Q9OYreLrJwTwwNXZ5Jf1kZzxxCZU/zx99Y6yfllgrTbeCEOFbZwpLiV13+xCLVcypSw2ezfi/yRK2TY7CJymSDVw/8L81G5KBLspeGWpVMBsFis/1XtQqIgcLqqmw+2l9PZN4K7TsnqeXHMywx1yrv534ZCISP/TAu7jjdy5eL4ca0/IBGM06YGYrHYSIr2Ra9Vuqw5Xzknhm+PNVDT3E9anB+LcyLYcqCGJ2+bwZnKrnHP2bAyhd+8cdRp/ALsPdlEsK+e5bOjOVvfS21LP7FhXsxMDWHPyUY89Criwr0wmG0IAhMGz4PUsJQa68uJsnYOFbawal4sX+51VsXJZQLXXzaVrYdr+OWtOTz/vlTxbrLY0LmYMKfG+lFQ2YnJYqOpY5C4MM8Jc31iw7zQqRXMSg/h/j/sBaQFcHvPMAuzw1g2KwqNSoEoilhtIoeLWmjqMPD65iJuXJrIbatSGDZaOT0aCFzecM6KtelADQumhbFidjQdPcOEBbiNUwUC5KUGs/3I+LBcHw8N912ZwbPv5TsaoMb+/YFrMnnlM8myKpcJfHu0nic25FLd3M8Xe6vwdtewaHoE2YkBCMJ/xji1y2Tsym9k0/4ahkYsBHhruWlpIlMjvf/fiWhBcLS32e0i2w7XcsvyJF7/qljKz7tI3pLNLmIXRb4+WEtYgBuzkoMwWqV7o1opB7ukvrtzTRoNbQNsPVzH0eJWFmaH8e2xBgRByt6ZNjWQD7aVodcqWTk3li8uGAdDRit/+ug0j2/IxWS2OXJ9jpd08Lu78kiN9ePdraWcqexCJkgqsPQ4f752ob4DiVQN8NZy6YxI9p9uRhRFZqYGs2BaOLWt/UxPDMTfW0tb9zD5o6rh6y6dQnXzAGEBbk4ZQmO3n7AAN9x0SgK8tXT0jox7z/zSdpbPjqZytIHwQiybHc2RQtdhzyDlkmVNCXD5WHF1FxkJAZw+28Gn31USH+7F1Yun4K5TEeSr46t91Tz7/gnCA9y4/rKpvLTxFNEhnlyWF8VPXj6AyXJO6ZQY7cODV2fyoxd2u3yvM5WdrJobM+7fC6u7yEzwZ8eRenKSg1k6MwqZTEAuExAnCGyfxCRAuk9+n/wfkCxgZoudYZP1e5NGk5jEJCYBkwTQDwJKuQwvd7UTEeKmVaIL8aCoqpu4MC+Son3ZfaKRfoNkv7gsL4ra5gH6Bk2ORf/Jsx1cfckUrl4yhY++lVQs+WXt5Je146FX8dRdeShlMl75/IwjF8fTTcUVC+PpGZCqvJ+4bQbF1d2OylKzZYLalDGIOKpXXeHKRfE8/faxcYvHhvZBvj5Y61h8jsFuFy+6UDxW0kZ6vD8HClpYkhOOYdjCb+6YidFs5Y1NxeMyBfoNZp59L5+rFic4Xrerz0hjh4EdR+vH2WkGhsz85dMzPHrr9AlDU3efaOKqxfFcNjMKL3c1r35e6AjF9fHQcMfqFIwmSVW1dGYkAT560uL8eO+bUs6cpxSIC/PigRf3niPY8qUd4AevyeRIUSvZiYHIZQIqpZx71qXx5d5qWrvPHW9YgBt2m4jZNp58kytkmK0iIiIahQyr1Y5MJmC0iRw+1czps534eqpZNisaHzc1wr+wcBJFMJtdE37/yZArZBwobOWNzecCigeHLby/rYyWLgPXLU74l87jvwJBEDCabLR2D9FvMHHbqhQ+2FbmsGUEeGt56LostKM5I/7eWp6+K49n3z/h+I2rFDJWzo3FaLY5iJA3NhXz0xuzOVzYSp/BxGO35nC0uJUTZR3oNAqWzY6mz2AaN37HsOVADcG+eqdQ6FuWJ7FiTjTZiUG8+00ppbU9pMX5MW1qwLiMmjHoNUqmRPqg1yrZdbyBa5Yk8NC1Wew63kB3/wgJEd4snx2N0WzjjtVpdPQO0zMokSFNHQaigj2QXaB+C/LVOSqqj5e28fiGGew92TSuklqpkEm13CoFXX3DZCT4Y7OLLMuT8nrGyJrwQHduulxSTt5yeRID88xo1ApqmvsoGejmiz1VdPaN8Pj6XCclxYmyduakh3DpjCi6B4zctjKFZ97Lx3SepUYQICc5iNK6Hi7E6nmxvD1q/TofPQNGXv+qiFVzY/nLpwU8tj6XVz4/Q3l9ryNEu7F9kCsXxePnqUX+PTIlfugQBYH3tpaxv+BcTXdH7wgvbDzFXWtTmZkUgM36z8egTC5VkwuCgPo89ZBdBLPl3O9jz8km0hP8+fXtM/jmUC1xYV4TvmaQr44BgxmFXEZd6wARgR789bMzUvD31EDe31bmaOSLD/fi/qsyeOebUq5YGI/JYkcGHClq5dPvKgFYMSeGrYdckza20fy4sAB3x7xh2GjBDjz66iHHdcEuSplfT27InZCMWbsgjlMVnczJCCEp2hcvdzVKuYAI1LcOcKK0g6yp/ty6IplbVyRjMlux2OwMjVgR7SI/vymbE+Ud7DnZiADMzQwlLy2E7UfquGbJFF7+pGDce5otNmLDvJgS6T3umpAS44tOrcBwEbLNYrPDBIKHnccaePruWVQ39TEwZKaysY/Kxj4EAX59+0yHRfLKRQm8/HEBQ0Yra+bH8ex7+eOuDWW1PWzaX01OSjAHC1wTUiMm67hrj5+Hlv4hM55uGn771jHiwjz5yY3ZmG0ik8v0SVwM/UNmQv313+tvPXRSTl13v3GSAJrEJCbxL2GSAPoBQBAELp0RyTtfn6sH12oUfLWnmiA/HYG+OpRyOfddmY7JbONIcSt//vg087LC+ckN0/D1VOPvraWzd4TXvyritlUpJIR7se90M/0GE4lRPuSlBmOy2Hjq/WNOk8B+g5mdxxp48NpMsqb4U93UxxMbcimq7uZkWRsJEd4THneovxsi4O2uGTcBAkmqbrdLi2RXOFnezqO35DgRQIIgLcj+GexI9avzMsN4/O9H+MkN0yZcXHb0juChVzvZShIivPhkV4XLv+8ZMDom8q7k/oIgtQDJZTJUChlPrM/ll68dxmqzc/PyJNq6h1k9LxarzY5cJmPH0Tr2n25iwbRwFmSH85dPz7Bqbiwv/ePUOHVV36CJj3dWsG5BHM++f8KR2xDoo+PONam8t7XMEQB6y7IklKMhsOeOTcAC7D/dwq7RcNH508KYmxGKIEJVUz8B3jrCA93Yc7KJvaeauWVZEnPSgv/PyIv/FBgtdj6cwI75XX4ja+fHoZX/38iwrVYb2UmBfLq7krAAdw4WNDsyN+Rygb5BE3/99Ax3rU0j0l+PIAj4uat46s6ZDA5bEEatGafLO3h/+7kg1NbuYQQRntyQy5DJysN/2k9uUiDXXpKAm1bF0IjZZQbOGAwjFpTKc+M11N+NY8Wt3LMunSdeP+KoqC2s6uK2VSl8fbB2HMGrVSvISwvhtS/O8Mj10/jHt2f5aGcFPh4aLs+LJDXOn6rGPp59P5/+QTOXz4rG203NgmnhbD9SB8D2I3XcuTqVv315Lheru99IiJ+ek0gNaB/vPMtPbszmg21l1LdJxFBEkDt3rEpBIZdxqLCZwWEL1yyZgkoh4yd/PuCUz9LYPshz75/gN3fM5LHXDjvG7rSpAdy4NBHV6HXrcFELl82M4pvzFu/17YPsOdlE/5CJh6/L4tn7ZnPgdPPoeNRySW4knnoVs9NDxl3HQvz1Tm2Q56Opw0CAjxabXaSysZfMhAB6B52JIq1a8R/jOhkx25zIn/PxwbZyMuP9UV5kCMrlAkaryI5DdRwpah3Na4oiI8EfuSgiF2BeVqiTZeqP/zjNjJQgSeWpU5EW5+ew/J2PqxcnIJfL+MUt2QT5uFHT0seNS6cS7OfG378sdPpexqrCf3xdFk+9fZzLZkaxLC+KB17c5/gbb3eNy5DkMbR0DtE5ei/3dlezdmEs2w7XuWy1+/OnZ/jV7TN4++sSCio6EUXpOVcuSqDfYCIjwZ9HXj6A3S6SlxpMeoI/r35eiEyAO9akASKN7YN09Y3Q0D5IRoI/f/uyiL7RcOiMeD9uX5XCiMlKRKA7TR0GOnpGmBLpw4aVyXy+u4o+gwlBgKwpAayYE8Mz7xznmkumsHh6BMdK2hCQqtx9PKTPnZcWwnYX9fEgvUZFQy9KhYyoYA9EEepa+7HaRESke/iD12RS0dBLeX0vnm5q8lKDHdl4WrUCEWmzKdhXT0uXYRz5M4bv8ht54JrMCQkgrVrhNPcRBEiL9+OnfznIslnRrJgdw5aDNew+0cilOZFg+yebapP4r8bAsJkEtef3+lv3UQKoZ8BERKD7/+VhTWISk/gPwyQB9ANAv8GEm1bJrLQQDo3Knls7DVy5OJ7H/3aE3ScaeXzDDH756mH6DOfaOKqbS0iM8ubeK9JZvzyZ5z44wdn6Xp57/wQr5sSwLC8KjVrBiNHCK58XsmJODAmR3iTH+BLooyM6xBOVUoanm5o/f1LglCty/9UZ3LEmlcEhM0tyI9h5rMHpmGUC3L46hX6DibAAN9bMi+XzPVVOf6PVKCbMSwBJSWK7QA49bWogvh4afn7TdPqHTGw7XOe0+FmYHc6BghZWz4tlxGjhr5+dwWS2uQy4PB8jJitKhdwh77b+k11iq82OWiXHOjL+dRdMC6emuY/Pd1c7chBefHAuZoud/QVNxId7E+bvxmN/O+xkp6ltKSEt3o87Vkt2EVcTdYCyuh5EcPpM7T3D/OHDkzx0XRYfbi9n3cJ4KcA6L5oAD7XDhmUR4TdvHXOymHx9sJapkd4cKWpj94lGLFYb06YG8vObp/PuN6W8u7WUnKRANP9H5MV/CoaM1gmtjgDt3cNEB+r/pcW2UilHEKRxYPsnY8XHXc2lMyJp7Rpi3+lm9p0evxB+95tSfnFTNgB2UWTYaOXDHeWcKu9Ao5IzNzOMx9fn8uLGkwwOW4gKckcmk0Jr3TUKAry1HClu40ixFNDq7a7mhqWJEx6Xj4eGoRELyTG+rB1t+ekZkDJF7lqbxiufnXHU2u481sATG3L59LtK8kvb8PXUcP1liUQFe9BnMJGdGMTAkIm716XRP2jCZLFJxNZnZ2gYJWwACio6uf+qDFIFaOoYpLi6m2MlbcjlAi8+OI9DhS30G8wkRHgxJcKbbw7XYbeLlNb20N1fzLJZ0QT56vHxUNPUaaCtZ5iKxj4Kq7roGzQxJz2ELQdqncifMVisdvacbCInOWg0tFrK5JIJAutXpVDXItlifD01ZCcG8vaWEhraB0mJ8eWL0evjT/58kCU5EcxKC2ZGcjBGqw2T2UKnxUZmQgCBPrVOC/9/dm2zjCpW+gZNzM0I5YWNJx2PZSQESN+vDMSJJBP/JhAEYVxd+fkwjFgYNlnxvIh9Ytgi8rO/HnQiIf/6eSEpMb48cHUG2OykxfoR4qd3KhY4WtxGeX0vz94zi/uvzGD7sTq+OVQnER5B7lyxMJ4QPz0f76rgykUJfLFXqna320VmpASxfmUKRpOV46XtbNpfTYif3lHlPjXCm0NnmpmTEeJ0v2zrHiIiyH3CjY3IIHdqmvt55Ppp+HioUchlbD3kmjDpGTDyztclXL0ogZsvT2LIaBm994p46NU89tohB4mxOCeCNzcXs35FMgmRUrW9xWpjy4FaCio6eOK2GTz11jGn8VFQ2UVd2yA/vymb3kETe041ERvuiUIu40hRK7euSMZDr0KvUXDwTIvD+v3yxwUE+ui4Y3UqwyYLb24ppqNHIrXuWpvqkmxTK+WsWxiPyWQlOcaX8rpeBEGypZ2p7CIiyJ0v9lRRVN3F1ChvooI8MBgt/PGj09x/dQY6jQKNSsHA6HVJr1U6iCxXkCymrn9T8eFeeLpJqt2dxxsor+thw6oU9pxswm4X2XKghic25LL1cC3bDtexKDt8ctI9iQlhtdkZNlpdWppdwU2rQC4THGrYSUxiEpP4vpi8F/0AoFLKeeWzM1yxMIEnNuTS3jNMVLAHXX0j3HDZVBraBzlY0OxE/oyhrK6X5s4hEODRW3L4+mAt1U197M5vRKdWEBnkwW/fOs5D12VhGLbg665hZlowH2wvdwQXxod7cd2lU/lybxWltT1cNjOK7j4jd/5+N4IAt69O5fZVKew4Vk9PvxTifO1lU3HXKvjDxtOsX5GMRq3gvivT2XakjvZu6fhXzYtBq574RuamVTpNeFNifbliYTw/+8tBhk1WAn10XLU4gYoGqe0kKdoHuyiSOcWfIaMFnVrh2MkfU+NMtIvnoVc5eftBsq6ZJiBh/L11RAS6UVZ3wW68n57oEA9HK5rVBt8ea+D02U7uXJPK5v01/O6ePL7cW+kyf6Wwsovls6InbAIaw4XEGEg5JVqVgg0rJftPeX0vg8MW7luXikwmwy6KtHQM0XHBrvGda1L5y6dnnHKVjpW0UVjVxS9uns5v3zpGSW0POVP8L0pC/LfjnynTdNp/QWkhCAyZbew91kBr9xCZ8f6kxfmhUQguv3uQ8pduuGwKb20pdfk4QE1zP+ZRcnNgxMoj52VaDBmtbDtSR3FNN7evTuXFjae44bJE5EiKOrVCxg2XJfLCh+cIhN5BExqVHD8vzTgLUmaCP9ddOpURk5X1K5Ipqupi84EaegaMfLVPWuT++Lpp/P7dfHQaBckxvjR3Gsia6s/VSxKw2UT+/lWRIwckLdZPaicsbaO0rsdlGDJIu577C5ooqelh1dxY1syLo6XLgE6jxGi2UVjVhV6jpKFtgDB/N35y/TT+8qlk9WjvGea9rWWsXRAHIrR2G1CrFFgsNjz1KgoqOpHJBKou0qJW3dxHZoJz/siI2Yq7TsXR4tZznyfOjweuycRdp2TEdO46M2KysvlADZvPUz7ed2U63xyqxd9by69un8G3x+rZd6oZuyg66uxdZbHJhHMW3NRYP0pqux2LWZ1GwTVLEiQV5pAZXw/1uOf/O0EURdxGd7wngkoxsR1ZJhfYtK/KpcW4uKab5s4hogL0KEX41e0z+C6/kZ3HG7DbReZkhLB8dgxqGdjtdlbkRbF4eiQN7QO0dQ/T2TvCgdPNXDYzimffy3e6vh8oaOH02U5+cmM2FquNF+6fQ0VDHyU13RRVd3PtJVOw2u3jjn1XfgPrVyTzfP3JCw8XrVpBYpQPidG+7DvVSLCfGxaLHQ+dilZctwIpFXK8PTWYLTbUSjlKrRzDiJnfvHkMw4hEbPt4aLDaRG5YmsjHOyt4a0sJbjolD1ydyamzHWRO8edkWYcT+aNSyNiwKgW1Us7Ww3XIZQJ5qcGE+Olp7xnGz0vLS/84xWUzImnrGaag4ty4VivlzEoLZnDYzB8/Ou10vG9tLuGBazKZnhTIN4dqGTZaSY314+olCcgE2HyyiW+PORNeq+bGEBvqycc7JaVmeV0v5efdw7cequPudWn86aPTBPnqAIloWz0v1uU5A0l96+WmJjHKh7LzLJqxoZ7csDSRX71+BLlMxpWL4rl9VTIbv63g+HkNZ6W1PcSEelLb0s/QiBUfvXLyPjsJlxhTy+u/ZwaQIAi465QuCw4mMYlJTOJimCSAfgBQq+RMifThk+8q8HZX8dMbpzsm9WlxfsxICeaXrx2a8Pn7TjehlMs4XdHpqIwdGDLz1b5qLsmN5Gc3ZfP6pmIa2wd58rYZ/PZN50yeysY+nnv/BI+tz+W59/LJTgzgqbek5i9RhL9/WUREkDvzs8KYGulNfdsAJ0rbyZziz22rUtCq5Xy4vZxgXz1XLoonyFfPyfJ2/vpZISvnxJAa6+eyheTaS6YQ7KfnJzdOI9TPjbP1Pfzq9SMOZUx7zzB//qSAH1+XRVKUDwgCH2wrY05GGJFB7k6tBwcKmlmaF8Wm/eNbQ2alhVBU3UWwrx6r3U5n7wj7TjexYnYMn+2uHPf3M1KDqGrs47KZ0czJCONAQTNWm51ZacEkRvnyu3fHt6J19o3Q2j3E8z+ajVat5GjxxBW3x0vbWTgtfMLHvd3VaDXnFgPBvnruXJNKYXUX73xTil6rZEluJLPSQ2jrGqJ/2MLmAzU0thsIC3DjF7fksONoHUeL24gIdKezd8RlqPaIycruE43MTg+5qFJrEhJ0KjlTIrw52zB+R97TTYW3+/dbYAsygZL6Pv6w8aSDMDpc2Iqnm4qn75qFXimbMFhbtIqEBrhN+Nq+nhp6B434eKj5x7cV40hPkKxMRrONJ2/LJdBHi3k0H0oQwGa3c9vKZD7ccdahdtp9opEnb5vByx8XOMiNqxbH46FX86vXjziuJbFhntx/dQZ/+7KI1q4hWrqG+PpgDZfMiCBrSiB/+aSAzr4R1Eo5v7hlOk+9ddzpd1dY3UXNW8f42U3Z+HvrJiSAluRGIIoiX+2r4YUPT6JWyrkkNxKLzUCQr86hmFg0PZwv9lWzdn4sP7oqExERm01Eq1aw51QjR4vaeOmhuRRUdOHlriI62JOjJW3sPdWEv5fWSXV0Pvw8tQwMnSPjNSo51186lUdfOeT8eaq6ePLvR3jh/rkoFYLDpusKwb564sO9mJ8VzomydpraDVy5KB5BEKhq7GNxTgQ7XNhhFmRLfx/spyci2J1vj9UTG+ZJUpQveenBlNX2cLS4lR9fl+VoiPx3hp+XFjet0mU+TEqsLxqlbMKWJZNN5NCZiYOFvzvRwB0rk7GYbSiAy3MjWDgtDAGJ5LDb7IzlvNusdrQKgWBfPRt3nOX6y6ZyvLSNyqY+l+S+YcTCseJWuvuNtPcM8/Gusw5l3I6j9dxw2VTy0oKdAsK7+40UVXdzx5pUPvr2rIO4Cgtw44GrMzFbLHT3m1g+K4Ydx+oor+1l6axol9en8EB3bl2exP7TTXyxp9oxthOjfLj/6gz+/EkB3f1G3HQKPPQqHn31nCIoPtyLE6Phz/5eOpo6ncfFvVdmsOt4g9M9fs/JJmalB3PNkilcuSheagtr7MN6Hol5zZIEshMD6egdcWnHNlvtPP/BSW5Zlsj65cn4eWlp7x2WNjo6h8eRPyC1n06N9OHaS6fwp48Kxj0+ZLTg7a7mFzfn4KFXkR7vx5nKLoxmK1HBHi6tljdensgH28uYnhTIrSuSGDFakctl1DT388IHJxyL9tc3FY8Srs6/P5tdur5mJARQXNPNjKRAJqYpJ/HfjLEx/n0VQCBtiPQMTKxgm8QkJjEJV5gkgH4QELn2kim8uaWYW5cn8+bmEqqa+hyP/uSGaRedvCtkMmyi6CB9zkdbt4F+g4mGtkHSRic7rgJdLVY7e040cuWiePJL28c93tA2yHtbywjy1bF8dgwf7TxLbkoQr31RyOz0kNEq5n6UShnPvHvcMSn66NuzPHz9NIJ8dew7JQWwermrWTMvlmGTlUde3o+vp4ablibx6hdFLj/fxzsr+MkN0zhZ1s7Ny5L55lAt3x6r5841qQT66GjvGeZAQTN3rEnlmiUJfHOolsFhC1q1gktmRHD5zGhau4dw16lQKmSE+rtxuKiFhdnh6DQKvtpXzcCQGbVKzqLscFbNi6WkupuXPz5NiL8bD1+XhdliQ6GQ2szGJu4X4nhJu0NefrG6Z5kg0NQxyNzMUPa7sPHctCwRu03kt3fOZOvhWpbOjOYPG086vW9BRSfzssJYOjOKH/9pv2PNU9XUx/7TTdx/dSbd/UYigz1c5lWM4UxlJ1ctTiA52ndyV/KfQIZkjXzi70ecFnlatYLHbs1B7SIHyxVMNpE/fnRq3Dq132DmtS8LeeiqjAnNOjabnZkpwWzccdbley3Ni6akppsgXz2nznZMeAyFlZ3cuDSRv35eSGVjH76eGq5YGI9aKedwdTdP3pYLCCgVMgQBDhY0My8rlB9dlQFI2TPPvX/C6TWrm/p56R9SK+Ez7+YDcLKsnbXzZ7HlQI0jAHdWegjf5TeOIx3lMoHwQHd6B00E+mhZOjOKbaMZP2NYMC2MvkETWrXCMfZNFht6rQK9RovFYic5xpeSmm7so013r3xeyPrlyXyxr4qy2h4sVjsJ4V68+OBcSmq62XG0jsFhM2lxfjx332yOl7RxSW4kJ8tdn78F08L586cFgKSYeOzWHDbtr3ZJohpGLBwqamHBtDCuv3TqOJUDwIyUIBo6BvH30qJSyvh8TxV9gyZH45IgwL1XpOOuU7HtcC1DRis6jYJLZ0QSEeRBfmkbj6/Ppbaln+sunYpSKaO1c4jyul4OFjRT3dyPXRSx/gdkj6hl8Nj6HJ58/aiTetPfS8u969KRITLhCBS5+H1ULkNACog22eyYrXaUMgEZYHfx3dpsIu5qOY/dMp2+IQtTIrwprBxPWmrVCuIjvBgxWUmM8mHPySZmpoY48qsAPtheTm5yEPdeIY2dsYXg9iN1ZCcG8PTdeZjMNkZMkoptxGSlpmWAHUfrGTFaSYv3Y8OqFPoMJuZmhLD/vLwavUbBIzdM42hJGx9ud84wK6vr4a+fneHmZUl8squCu9emsfdUo9O1xW6XxiZAV98Iof5uDnI2KtiDfoPJ5QbPoTOtzEwNIdBbx9ZDtUxPDiI3OZhdxxu49tIphAe489M/H+Dudel09bkmRgFKantoaDeQNSWAU2fb8XTTcLZ+fFj6GHafaGRuZih3r03js92Vo4UWArMzQpmbEcoz70jXpsfW53B5XjSBPjo+3F7O/VdnsvtEI0eKWrDaRPy9tNx0eSJWmx2bXeS9rWXctDSRhEgvHv/bYZc84+YDNfzu7lnMywrl0JlWjpe2kR7nz46jDfzqtlzpe05y3V42iUn0j47776sAAqkJrLt/4vEziUlMYhKuMEkA/QAgQ8aBgiYevSWHFz446UT+gLSbNicjlE37q10+Py89hFc+O+PysfT4AP46+lhkkMdFJ05n63vJSQ4cV0l/PgaGzHi6qbj+sqmYzDauvWQKvQMmrrt0Ks+8m49CLnMKfTZb7Tz3/glmpYfw0LVZBPrqMI1WspfUdAPSru7FgmabOw109Y/g46nFZrc7nvfxrgpuWCrVuNpHlUqZCf7cvioVXy8NMkHA212N2WJDr1GSGuvLgYJm3v2mlDvXpNI/aKSgspMNK1NQKaXJv6ebmr0nG3HXqXhsfQ6/fuMYvQNGbHYRq82OVj3xkNFpFJTV9WIy25iVHsp3+Q0u/25ORghFVV1cs2QKcWFebNpfTXe/kegQD9bMj6O0toftR+pQyAXuXpdObUu/S9Jp36kmZqeHoFbKnfKE7CK883Up61ckc6K8/Z8csxJfTw16tXzCnfNJSBBFEb1SxjN3z6KhfZCKxj7CA9yID/dCI/9+5I9MJlDb2O8yXwaguLobk9XuMo9JEMBkF2nqMPDgNZn89dMzTgqf+VlhuGmVqJUyZIKAVq2YMLPIXafirS3FDpJjYMjM8x+cZPnsaAK8dfz8r+MVh9ddOgWtWsGJ8na2uFDagURidfcbCfbT09o1hF2UKuyPnWeJiAr24OuDzs+/JDeSGSlBFFV3U17Xg3dqCAuyw8lJDqKkphtRFEmM9uFsfS9vf11CaqwfOUlBbDlYg0ohY05GKLUtAzz/4Ul+d3ceL248xemKTm5ZlsQ735RS3zbAzUuTkMkEx4Lu3W9KnUieAwUtHC1u49n7ZqNRybllWRLvbStzfK9jNfQltd0Oe+d9V6ZT3dKPRi3n0hmRNLYPUlrrfI0tONtJSowvI0YLP7lhGl/uraa6uQ8vNzWXzowiyEdHWV0PgiBgtYnj8khEEf7y6RmyEwN54rYZGE0S4WWx2tBpVAT76jhb38Nnu6to7jTgoVexal4ss9NCaGgboKXTgCiCTPj3VwDZ7SJBXhr+9NA8zjb00tI5REKEF+EB7qhkXHQMqhUyFmaH88XeKpePL8mJYNhi5+OdFew7Lak+0+P8uGV5El46JaKL17bbRWRIWRy2C+4PcpnATZcnEuCjo6i6G6VcID7CG6VSNs5OCVLOkFwOT2yYQUuXgeqmfoJ8dYT46bHbRX752mFMZht3r03jo51nnX5n+083c7ykjcc35LJ2QTyXzoziVHkHgiAwf1oYbV1DbNrnev6gVSuICvZg3cJ4Dp1pJdhXz+Prc9n4bTnVTf2U1/ewbFY0Ww/XUVDZyco5MWw/UofVJpKbHMS+000TnvPd+Q1ctXgKszNCOVvfS2KUDz+6Kp34MG9++doh7CK0dBmICfV0uVGhVSuYlxmG2WJDpZQTFiAF3V6sKXRgyExD+yA6tYLH1uciAHKFgEwmYDbZuPfKDLYdqaWudZA3NhWTlxbCHatTMVusXDYjkkXTwxkxWQn21aNQyPguvwGT2YYgSOURzZ1DE94qh41W2rqHeeWzQuZnhfG7u/MYMlp5YkMObjoVapVMItO+x71iEv99GBweUwB9/6WZh05FxagydxKTmMQkvi8mCaAfAERRZOXcWAzDFiob+3DTKpmbGYqvp5aO3mEOFjRzeV4Ux0vbxtWWz0gNxlOvmnBCFOCjc+yUDhstzEwNZs38OKw2O0qFjJbOIb7cW0XvoAlPdxWdvSMkRfs4Ak4vRHKML3GhXmzeX8OHo21CEYHuPHBNBi8+MBfDyGjj0HnzG5tdZP/pZvafbualB+fyx49OO4WcDo1Y8bqIfUajkgiOP318musvm8qNSxN5f1sZDW2DHCxo4bENuew61kBlUx8miw25XMDLTY1MJtDZN8KIycaw0cLWw7XEhHry+IZcfvPGMX5750xuW5FMYXU3blolwX760R3WEcrre0mJ8eOZe2ZhF0XMFjsfbC9nwbQw3v7adQbLrLQQ3txSzNCIhcc3zKCwstOhehjD4unhdPcbKa/vJTrUk0OFLaxfnkyAr47Cyi4+3F7uODdWm8hfPi3giQ0zUChkXJITwbSpgZitNlQKOVVNfZTUdpMQ6U1hpfPkuc9gQq2Sc7KsnXuvzODABM05S/OiiA31pG/QhCAIuGmVqOQ4NYtN4hzsdhEFEB/iQUKoJ6Jox2YTvxf5MwajeeIgaZDGCy4IIDsCL398mu4BI3etTeXh66dhGDEzYrQS4u/GmcpONu4o59l7Z+PprubyvCg+OK/x63xMSwzg+ffHZ4t8fbCWZ+6ZxTeHapzWKGEBbizICmPjjjLy0kKdAnIvRH3bAEE+Olq7hvDx0KBTK5zyawwjFrzcNY42wstmRuHlrnbkagFsPVzHlEhvrlgYT9HownDT/hqHysbTTc0lMyKYPy0Md50ClVLBjmN1uOuUDAxJTWFebmr8vaRA+Q+3lTnGbXSIB7evSnWp8LFY7by9pZQ5GSHMSAkiJtTToSDw0Ktx0yp5b5v0OskxvgybrIT5u3G2vpfu/mGSY3y5clEC735T6rCTeLurEIAQfzde+6KQhdMjWLcwDsOwhT0nG/m8sY/H1ufyu7ePs3Rm5IR5PyfK2slNDuLDHeWj4xX+/PACVEo5GrWCW1ck0dhuYNO+at7fWkZ1Yx+z0kNYmheNQiZgE/8zFH52m4hKgIwYHzJj/bDb7djtosOeNYYL70N2m53LZkRyuKhlnCV2bmYofl5aHnvtsFNL5pmqLn76l4O8+MBc3FQylwt/mUxAIcK8rDAGhiyO39U9V6RzpKiVE+fdLzbtr2HpzEimRPqMe50+g4nV82N55dMzIMAlOZGo1XLUKgUfbCvHZLbhoVeh1SjGkYxKhYz1K5Lp6TeyZX8NggwWTosAAbp6R7DaRHpdBB0H+ui4ZVkSj75yyMlWp1UrePj6LN75upSmDgN1Lf1cnhfF9iN1bNpfzYPXZvHGV8UoFLIJc/QAjGYbxdVdjutQqL8bbjolvYNGgnz1LJsdiFYlZ/W8WIqqu5zO77oFcSRG+ThC3dPj/UiK9kGllNM7YCQ3OYjkGF9Mo5lGRdVdfHOwlowp/pLtu6qLwWEzH+08S3G1tGkU4K3l+ssSufbSqQyPWLDZRQ4UNI+7PwoCvPjgPASk+7rNJnLL8mRGjBZC/Se24ILUNDdikvLWqpv7uenyqTz99nESo324aWkSMpGJVWqT+K/GwJAZjUqOQv79yXoPvYo+gwmb3f4fYfOdxCQm8f8fTBJAPwCIAgyPWOgzmLl0RiRZUwL49lg9Zyq7iA5x59d3zGTYaOWJ9bm0dg+xaX8NSoWMJTkRBPnoEGSS0uXCCZ5SIcNdqyRragBHilqZEulDW9cQ735T5lhIRYd48OC1Wfz10wIWT4/g0+8quW1VCv5e2nHkhVwmcHleNJ19w8hkAgkRXizMlmpbq5r6SYzywV2vJDsx0KWNzE2rRKmUj8s3aWwfJDLIHYVccKmMmJ8VxuHR7IbPvqvk+fvn8P62MuBcmPFv75hJY8cgLV1DlNX2IJMJvPp5oYMY83ZXs35lMvtONfPNoVquWBjHnpONpMX78cWeKrKm+NMzYOS9rWWO9z19thN3nZKn7ppFn81IfdsAnm5q0uP9OXOB1H9xTgTdA0aHUuflj09z19o06lsHKKjsRKtWMCc9FA83FRaLjeWzo1Ep5Zyt76Uvw8T728tc5vSIIpw+28Gvbp/BzmMNPP3OcQfZkBzjy63Lk2jrcl0VrFLIiQv3xt9Ly8o5MU6hswCpsb6kx/nx0B/3O86Tl7uaB67OJCpA73LH+78ddkGQwoR7B/FyU+Plpkb1Pa1fIBFIcWFeEz4e5KtDo5TjaokwYrFRWtdDsJ+e2uYBPNxUfLWvmmGjlb5BI1MivfntnXnoRneZ52eFkV/aPi4T5KrFCZTU9LjMBwLJ5vGbO2by1b5qzFY7C6aFkRLjC8Ds9DA89Cp8PDT0TBA8GeB9LofnioXxVDX2ER/u5cgPOnC6mSsWxVPR0ItCLmN6YiC/fevYuNc5W99LaW03Wo3CERyrVMi4Z106Vpudlz8uwGi2kZngz2Uzowjy1nHT0iR2Hq/n22MNrJgdzZLcSGpaerlkZiTLZsewaX81MpnAkWLXBDdAUXUXy2ZF8+irh7lzTSrvbyvj/qsy2LijnKYOA7+/dzbd/SP4eWkoqurmhQ/OEWmnz3ai19TyyA3ZvPzxaXoHTVw2M5rtR+tIivLlpmVJvLe1zEHkhwW48ds7Z7JpfzUmi43OPiMzUoM4dObc8aXE+DInIxS9Vkmgr85h1Xzw2ix2Hq/nm0PnGsviwrx46LosXv74NIeLWlmcE8GmfVVcv3Qqwr95C9iFkMLSnX/DgkzAbBfp7DViNFsJ8dNLuUCj41MpwG9un8mZqi72n25Go5Jz+awoIgLcqWsbQO5i4WWx2vl4VwUblifBBVYwmVygx2Dh+Q9O0to9xPoVyczNDKWuZYARk9WRnXM+th2pJznGD48LNm5yk4No7jBw97o0TBY73X0jeHtIoc0ny6XXSYjwdqmUuWttGntPNjlZsY4UtTE1yps7V6cx2DmITqNg+AL79+p5sbyxqXhcptKIycprX0jWSatNRKGQEeLvxpLcSOpa+imq6uTnN09Hr1FgMttcZukB5CQFcfi8zaSth2r51R0zsFgl9dChQqkpbe2COH5+83Te+KqYzr4RVsyOwS7CU2+fy9s7dbYDHw8ND16TyfLZMfz9qyJH86ggwPSkIH5+83TkcoFHXznI03fP5sm/H3Eqz+joHeGlf5zi5zdNJyLIHXed0kmxPIashADO1ks181MivYkIcuc3bxzBMGLl4euz8HJTuyzlSIv3o/y8oOiKhl76DWZEUbKIX3/p1Anz3SYxiYFh87+k/gHJAmYXJfWtj4fm/+jIJjGJSfynYZIA+gFAqZBhsYl4u6sJC3Bz5GeEBbhxSW4UWw7UcLy0HblMYE5GKDcuTeTgmWb+9mURPQNGAn10/Pi6aWw7XMvRkjbsdpGkaB/uXpdGYXUXa+bFYrHY6BkwjpO/17YM8PLHp/nxdVnoNUpuWZ4EwMPXZ7HlQC1Hi1ux2UWmRHhz1eIETBYrOrWSzAR//L11BHhraWwfJD7cW6p1t4usmRdHW/cwje3nwiJ1GgU/vi4LjUrO/Gnh40IfNx+o4UdXZfKXTwucao+nRnkzLTGQ34+eE5PFxsCQmYhAd+yiSHigO4ZhCyNmSXqdFO2DVq3gF68cctpN7B008cd/nObx9bk89fZxVs+N5bPdlZhM0nmZnRHKb944Ou67GRy28PpXRVyeF8VPb8zmxY2nuHV5MktyIyio6EQhE8icEoCfl5ZHXt7veF53v5Gn3z5OfLgXK+bE0Dtg5K0tJSzOieBMZSeVjX08eVsuaqUcN52K3ouE+PUMGmlqH2TfKWepfUlNN698XsiluZEcvWBB66FXEeqv58GrpFyMlbOjmJcVxv7TTRjNNuakh+DjqeWhl/Zispw7332DJn771jH++OA83FSTu0nnwyYI/OmTAsduMkg7yo9vyMVdJf/eJJBOJWdxTgS7jjtbBAUBfnxtFnqNAqvVhvWCRjtRFHliQy5NHQYGhsyEB7nz0DWZdA9IapAAby16pcxxHCoZPHJ9Fi1dwxwubEanUTIvMxSNWsFdz+6e8PjUSjnhfnruW5cGiIgIGC12OnpHKKvroa61n5VzYnjnm/FKOLVSTnSIBzuP1/PTG7Mpr+vhcFELd6xO49n38hGRSOf4cC8uyYmgo2/kollFe040ccPSqQ4CaP2KZPacanRSvDW2D7LvdBPP3DOb7v5h1Co5t69KoanDwAMv7nVcB3QaBXetTaOqsfeijW4KuYBeq2D9imR8PDTctjKF2pZ+7l6bhjj6Pfz5kwIevSWHt7aUjHv+kNHKP749y+V50Visdqqb+0iJ9cPHXcMbm4tZOSfGMVH399Zit9lZtyAemSDjTx+f4pm7Z9PcMURzp4GHrs2irnWAT76rYHDITFKMLw9dm0VNSx/to5sB56OqqY9XPjvDTZcn8dI/TtHWM0xpbQ92O/9W9I9SKZcscVbb9x5XgkygvmOIZ98/4bA+CgKsmB3DqjnRCHYRUZQUfLlT/ZmW4IdcJmAVoavfSGVjH0tnRhHq78aWgzVObVUFFZ1SJtAFJ9FolaxZY+/3ztclXHvpVFbNjZ3Qlg1w8Ewz05OCHDbh5BhfmjoN/P3LIpJjfHjwmizcdEpkMkmV+fRdeRwtaaOjdwTVBb/dED89ZovNZQ5PeV0vCCKN7YMsyYkcZyP389JOqObr6jPi56Xld+/mO9kS81KDuWFpIvtONvHlvkoevTWXXccbxhEiAd5awgLcqBgloDUqOddcMgWT2cbLHxc42b5f+sdpyTJ1zyx6B42oFHIefGnfuGPqGTCy83g9ceFeTgo+iWCRbKbJ0T74eGqpbOx1SdIAbNpfzco5MTy+YQa/ev2IEzEWG+bJ+pXJ7MpvYM/JJkfG0iM3ZPPxzgo+3VXJj67K4MV/nHJq+gzx07NuQTzPvZfv9F51rQPMywzlm8OSIigr1vdfUoxO4r8HA0MWdBdpznUFj9FmxK5+4yQBNIlJTOJ7Y5IA+gFAKZdJ4YoBbg6ptEwmcPvqVJ4/r2UCYNuROk6d7WDDyhRH4HN7zzC/e+c4v7s7j+sunYrRbEWpkGEYNuPnqaW+bZBblifz6Kuum8S6+40MjVh44YOTDhWRWiVn+axoXn54Pn0GE2fre1HIBT7eVe2Y0IG0WHro2iw+2XWW/LIOgv303LwsidtXpTi8+L6eGiKD3BkYMvPEa0e4a10ae721TlL7gopOQv31PPejOTS2DdLSZSAq2JPu/hFe+PCkkyVCrZKzYWUyje0GKht7mRrljYdezYzUYKxWOzuO1rmU6tvsIgcLW8hJDsRosnLD0qloVUp+e+dMOnpHJrTlF9d0s2JODJ29wzx9Vx4f7aygsrGXKZE+2O0i247UsiQn0uV7Vjb2oVEp2LjjLCaLjaRoHwcJ911+Iz+7KRuL1c7SmZFsOlDj8jUyE/z55mCdy2Orae7Hx1PjpJ4SBLjvinTUcgGbzY4NKcDYW6vginmxo21PIq9vKXUif8Zgt4t8c7iWG5YkYLHYEAQBQSZgE0UUgvDfGRYtE3hva7kT+QOSTW/fqSYunRGFSv79zo0gilyzKIHEKG8+311Fz4CReZmhrJwbS2FVF98cqiMm1IPspCDEUVm3ViWjvWOI37973EklFx/uxdVLEnjmnXxe/vH80d3lc6tUuSgS6a8j9tIpiCJYLDbsgkBCuJfL3ACFXNrp7zKY0WsUmK123txUzJlR1UFKrC/rFsSjUclZvzwJb08NSrkcuVwKNp8a6YPVZufaS6YQ5KtzBEVvO1zLE7flIpfJOHSmhV++epBf3Z6HIMCWC5Rp51t3DCNmYkO9eGJDLnZRCmY95cK61W8w89X+auLCPJmXGU5ZXfe4AOlho5WXPz7NY7dKrzWmHrgQs9ND6eof4e9fFjNisuLnpeGqRQkcK2nj410VzM0I4cbLE2npMri0aoG083/3ujS+OVTLJ99VcN+V6ZitNjp6hvnbl1LYfXSIh0TwdBj47LsKbluVwk2XJ2I0W3no2kxkgsAbm0uc1IYFFZ0UVXXxzD2z+PMnBS7fu71n2EEc+HpoMFlsdPcbCfD84S8OREFg0Ghl75F6+g0mZqQEExPiiQLxnyonRix2fvvWMafvRBSlzYXoEA+y4vwc43OMXDWL8MKHp5xUcgq5jPuuTEcATo+SQO46FcIF5I9CIeN4abtTzpZdhA+3l6NRyl02lY3BMGwhyFePv5eWBdnhRAd78NI/TiGXwV1r0th/upmv9lUxOGzBQ69i9bxYZqeHolTKsFjspMb6sftkI/ml7WQnBk7YbqaQyxgasZIU7YtCJjBtagDDRisKhUBlQ98/JQW7+40MXECiHC5qxdtDQ7Cfnp/eNJ3Pd1fy1N15fLWvmqNFrchkArPSQrh8VjRP/v0IKbG+pMT4kpsShE6tpKSm24n8USvl3LYqBXedko92niU80N1pE+hCHC5sJS81xOVjx0vauGxGJGEBbg7rqCtUNfVhF0U0Khm/uWMmrV1D9A6aiAx2x99Lx0sbT1F5XhZjfmk7Zyo6efSWHJ7/4ATvbyvjR1dmICLS3j2Mr5cGq1XkpY2nxpVs6DVKpicGcuBMCx461WTU3iQmxMCwGZ36X+uI89BLBFDP4GQV/CQmMYnvj0kC6AeAYaMVPy8t3X1Gh58+JymII4UtLuXJ7T3DNHcaHM1bIEm2ewdN/ObNY/z1JwvYf7qZxGgfR9XyL26eftHgxLqWAXw8NA4CyGS2UTYqZf58TxWz0kJo7xl2In9AWgC/uPEUv7w1h/yyDlq7hnjhgxP84Z7pBClNJGjNyFRyrAozv/+8kL5BE3/8SFIc9fSP4KZTjU7EFOi1St79ppSbL0/kuxMNfLWv2incGCQJvFal4Jl38p0sKJ/truSuNWk0dRiYlxVGaW2Py53Npo5BpkT4YLWLPPbaEVbMjsHXS8PwRSbrIC0kvtpfzVWLE1iQHe6Q97vrlDx83TQUcqkSuLV7CJkAvp5arDY7eWkhaFRyrl6SgFolJ7+0HbtdZM38OBLCvdh5vIHeQSNpcf786vaZvPN1CbUt56povdzVxId7U9My8W6y1WpnXlYYlY19RAZ5sHZ+LJ5apUsywjJq+7EB9RPUXINELNW0DRLsp6erb4TN+2voGzKRnRjInLQQ1N8z9Pg/BUaLnUOF5xZZMpnA+uXJ6LVKDhQ089I/TjErLYTpiYH/NIwWQCbamZ7gT1qMLzKZQP+QhUdePuBYTO47LTUD/fjaLL7YW8ntq9PGkT8gEYzHS9q4eVnihBXYdruI+bxxpBDgvisz+MWrh5x2sAUB7l6XxqffVXCgoJknb5/J79/Nd1rgFld3U93UzzP3zkKnVfL6V8WO68qUSG8Swr15Y1Mxd6xO5URZOwq5DKvNTn3bICG+el75otDRILTnZCNe7mpSY/3Yc7KJxVlBLMvyRWMzIMoVtA0pOF47Qnl9N3/7shiQsklWzolhapSPwwYqCJAW509koDuRQR7Y7Ha2Hq5zed6tNpHiGinza+2COL64gATy89Jw2cwonvz7EYdFrqvPyCufF3LzsiRmp4dQVN1NapwfMuHiE/WOnmGHyut4aTtXL07AYrPjoVdxz7p0OnslMsjfS8vD12dzuqKDf3xbgV6rZElOBJ5u6nFWU5DI2zc3lzA3M4wPd7jOeOo3mFizIJZAXx0g2W/lLnKlfkgQBYGDRa1OGWt7TjYRFuDGExtyL2q1VCjkHD3TOCEh98muSpKjfZ0mPAqlnM93V42zSFptdv7yqaTwGiOAVsyJQS2XOV1TZTIZlRMUJpxt6CU1zo/2466LAKZNDSA3JYggHx37C5oditjbVqaw7UjduN9vTKgnG3eUO45Hq1awYnYMSdG+DAyZHYRJZrwP18wKwkMmba4Y5XrqegYxGKXMvw+2lTuIqaRoH+ZlhaFWyl3aQeUyAbVK7nJjZPeJRu69Mp2Pd1bwo6vSefbdfNIT/HnitlzqWwc5Wd5OZWMvP74ui4KKTs5UdlHT3M+yWdHjpGiPr8/ho10VDnI9KdrnojZZm128qJxNqZBx1aIE+gwmZmeEMjBk5os9UkD6GHw8NJgtdqxWEZkgcOpsB3WtA5gtdq5cFO9E/ozBbLWz5WANi6ZHsPlADb9/L5+f3pDNiNnK2fpevj5YO+45MkG6LhpGLNyzLo3QALdJC9gkJsTAkBnff1HFo1bK0ajkTs2kk5jEJCbxzzBJAP1A4KFTMWw8txibGuXtVBN7IU6Vd5AS6+sggHQaBd6jN47Kxj6iQzx44YOTjqwfqSpZ6bTgOx9+XtpxGUKX5EY6gp5npgWP23GeEunN4ukRuOtUqJRSlsepsx386vok1Cc2MnL2CGNZJkr/CJ6+/l4e31hNz4CRPSebmBrpzasfnHQsMPUaBbcsT+ZkeQfXXjKVX19gyfLQq7j3ijTe/rpkXP6IKMLfvyril7fm8MKHJ7nvygyePi8/YAzBvnpsNjt9gyaGRix8tPMsN12eSEKE94TnOjLInY7eYbr6jLjrVLz8cQG/uHk6ZXU9UvDz5mJqWwa4c20qWpUClVJOU8cg7joVIf5ubNpfRWVjP5fkRpAU44MoSvXUz55Xo11e14tOo+DnN03nxY2n6DOYSI/349blyQATBsOCZCO54ZIpWO0i6tG8iwvtQxdCIZcR6qd3sumdjxA/PV39RvLL2p0mtuV1vWzeX8Mz98xCpxD+a3YzTRZnK8r1l06lrK7HiRQqre3hq33VPHXnzHFWEVewWu3IAYsdnv/w5LjGLovVzmtfFnLvFemU1HRP2By271Qzf3p4PsL3/DLsdhEPjZwX75/DsdJ2Cqu68PPUsCgngq2Hatl3upnpiYEcL2lz2SLm66mhsX2Qv3zqTEqere/lhQ9PSjaOASNatYKf3ZRNc4eBzAR/+ofMDvIHpMDpNfPjmJ7oyU+umEKs4SSmr17EbJfeM8Ddh5tWP8LzW8/ZG0dMVj7eVcGNSxNJifGlsWOQ+6/KpLimmy0HJQXdA9dk0tnrOhcLoKN3mOZOOyvnxDAjOYgdR+sZGDKTHOtLdmIgv3r9iMsF8Zd7q3h8fS6pcX4E+7ldNKshxE/vdI2SCQKGESkL5P6rMxzhumqlnKsXJ/Cr1484XX8NI2ZSYvwmfP2zDb2sXRAHjDYlZYWRHueHiJQZ5qFXYbEqqGnq55KcSNx1qh988OyQyeYyYL+pw8Bnuyu5elECwgSfQiYTaGg3uHwMoLPP+fcgCDBkto2zYY7BahOpbxskLMANf28dOUmB4wh1u91ORoIf7T3DNHYMOjU1Hi1u5dd3zOTQmZZxY8jHQ0PW1EA6ekZ4bVQNNobEKB/e+trZVnjzsiTe2FRMU8e5zzdisvLJdxXcvCyRQC8NPhkhxAaqWRU7hGn7rzGbJQJIrtYx7dK7qHOP4Ik3Tzm9bmltD5v2VXH1kgSn7LsxrJwTw8EJlEUjJisKmYzKxj6aO4bo6jdyuLCFS3Mj+etnZ9CqFSyfHcPzH5xwOi/HS9u5bGYka+bH8eXeKpbNiqauddBJWVnbMsCqubHjMuvGkB7vR3XTxK2h7noVD/9xv+N+6e+t5a41aXywvcyxuXLpjEhJOSHAyx8XOALbpycFurTSjaGgopOF2eFwQPp/lUrGl3sqefK2mRRVdTltqggC3LUunS0Hajhc1Mptq1II9Nahc1OO5ldNYhLOGBw2Ex5w8ZBxV/DQq+i5SIzAJCYxiUlciMmQjx8AVDLQqOWE+Lk5amRtNkkVMxHGaof1o4uQ6y6RWi2mRkmBhTKZ4CRBl2wqkS5fy9NNRYCPzkEWCQKsmR9LbJgnt69OYc38OALPaxMTBLhnXRrTEwP5x7dn+f17+bz2RRGz0kN4+JpU/Bq+w3T2MOcH2Vo6G2DnSzx2TQJRwR7MSAnir5+dcZocDxmtvPL5GWJCPTlV3s7v753N7atTuDwvijtXp/LLW3MQRnfrXMFmF2ntGkKllNPWPUTYBTdSmSA1tUxPDuTT785lEG3aX42Xu5rFORHjXlOq8k1i6+FaIoPcae8ZZsRkxWqzU1rTzWOvHWZBdjg3Xp6IRiXneGkbj756iFc+L+TZ90/w8J/2ExfuTUyoJ29uLmH/qWaW5kXz+Z7xoZnDRmlS//t7Z/HiA3PJiPfn8b8dZt+pJuZmhrr8zGEBbnjqVFjtIp19I2w5WMfeghZGrCLihZ6FUSgUMqyjwZuuIAgwLzMMb3e1y13NgSEz735TOuHr/ydCq1agVkqKD71GQYif3on8GUNn3wibD9Qi+54tHnKFjJ4B47h2vzH0G8zI5TL6J8iygDFy6l+z5dntIkoB5qQFE+qvJz3Bn799Uciek1LO1KKccKcw0/Nx6YxIPt5Z4fKx3kETZyo7efmTAt7cXMLTbx+nsKoTvVZJTfP4RduXe6vYdbyBNH07puNfgP3c9cA22EPXR7/hlvlB45635UANi3MiuGddOm9uLubLvVW0dQ/T3jNMSU03UcGeE3726BBP4sK80KoVqJQy1i2MZ/nsaFJifCmv63FZ0Q3S776738irnxfy9pZizBaby2uqTCZw3WVT+ebQubFzaW4EOrWSJzfkUtPc71jMz8kM5dvj9ePId4vFjuIiih2plUxFRKA7P795On2DRp7/8CQvbpSIxKhgD77cU0mAj47L8iIlYlj84Y5XpVLO0ZKJg7n3nW6mtWd4wnFls9lJHg0qd4WoYE9k5318UZAaIicKQgcYMVr56Q3Z3Ls2FdmF40smYDDZGBi2EBnswa3Lk3ng6kzctFJ+h9Umqe6e/9EcZqQEIROk72x+VihP3ZWHl15JgI/OiUQUBBgcMTsRzXqNArVK7kT+nI8v91aTEOVDcrQvq7PcMX77V0TzOWu1aBqmd/NLBCmHUKvGK9Z2HGsgPd6fH12VQaCPpBbz99KyfoWkdtt9otHl+3q5qx337tqWAa5YGM8TG2ZQUtvNJbmRLJgWxpYDNU7kzxi2H6knJcYXhVzGwuxwth+tcz7vJiut3UNMmxow7rlqpZxrL5lKQ9vAuMdACmEes9eNobN3hD9sPMl1l04FYE5GKLFhnrjrlXT1GR3kD0iku04zcQaLRiV3qK2iQzxo6xrGbBU5UtTKLcuTeOjaLC6fFc01SxJ45p7Z9BtMjhDst7aUgExA+C+6b07i+0MURQaHLejU//q+vIdOSVf/yD//w0lMYhKTGMUkAfQDgIik2vlstxQuKAjSLvWS3PGExBhmp4XQ1WfkoWuz+NmNkgxZq1GQkRDAF3sqUSqcJ3unznYQFuDGwuxwp4lwkK+On904nfzSNh66Noun787j5YfnM2Ky8aMX9vK3L4vw1Ktw16ochMryWTGcbejlg+3ljl3upg4Df/zoNFMD5JhL9rg8ZmtvG54YuG1l0oQTS1GEvaea6Ogd4UxVJ8G+emZnhBDsp6Nv0IjNZr+o6mTEZEWtlFPfKjWLjUGvUfDw9dOQC1I72Pn5Q/0GM4NDZqKDPbhzTSqxoZ74eGiYkRLEY+tzcdcpaeseZs38OHYcrQfAaLJxxaJ4kmN9OFvfi6ebCsOIZZx032qz8/pXRczLDOWWZUlclhdFYVXXhJ+huLqbgWELP/7Tft7dWsbgsIVN+6uZkRJMbrLzQjg6xIPHbs1BoRDYX9BMYXU3PYNGNn57lntf2MPJis5xJI0oCJQ29PPoa4fZld/A7atSHKQjSEqye9alU1bX47AAusKJsnbM/0W7mBqFjBVzYgBIivHl5MWCi081Yvqe58ZktWNwYfN0+huzlbjwiQmNsAA3lP/D+leL1c6ufGksVo3uql+9OAGLRbIqadWKcUSEv5duwgUpSAvC4PMWYKfOdrLjWP2EAZWzEtwYOPiJy8dEixFlZxkxoc6fv89gwkOvoqnDMM7qufNYPavnxbp8PXedlMfRZzCxcUc5247Uc6KsjdrWAZ58/ei46+b5EAQcNirDiBWtWklYgBv3rEsjLswLHw8N05MCeezWHPafbnaco4XZ4Xh7aDjb0Muwyep07cuaEsDRovHER21Lv8uq8DHMSA1GFCUr33Pvn+BosRT+b7WJHDzTwhN/O8KGVan0G0zIEDBbbfzQG4InUqeCZEkeGrFMOK5sNjtpsb4OAuZC3HR5IorzfsYWmxSMfLFK74wEPzw0MmQXXqxlAhVN/dz3h728/lUx3xyq5Y8fnebLvVU8fP00tGo5114yhfAAN7QqGZkJ/vzkxmx+fN005HI5D720j+3H6rHb7VyeF+14WVEc7+D09dLS0jnxWBsYMmM026ioaYfCbyb4KxF70Xbmpo4nVEC635bVdrN6XiyPr8/lkeuncaCghcYOA0GjFsILsWpuLDuPS/fCsEA3ZqcH84tXDvHaF0WEBbixaHoE+S4a0MZQVtfD1ChvRFHEaB6vMnx/axmz00O5fVUKEUHu+HhomJMRyi9vzWHjjjIuz4smKdp5fKTE+LJmXhxf7K0i6wLyaNhopc9g4q8/WcB1l07By02NQibQ2uV8bgcMZuaku84XAliUE8GRolbiwry4eVkSn3xXITUZJgfx9NvHeXtLCY1tg5wo66C+dcBJYWa3izR1GP6rrNOT+P4YMVmx2cV/uQUMpIyy7kkF0CQmMYl/AZMWsB8ATDYRo9nG3lGVzuPrc6lrHSA62IOUWN9xwbNzMkLpHzKjUsnRqhX0DBiZnhiIXRQRgDkZYXjqVcjOy0wQRfjLJwVclhfNExtmoFLKHaGkf/r4NO09w2zaX8Ps9BCWzYrGOLq7191v5IPt5UxLDOSmy5P43TvHyZoawG/eHN+YBWAYMCDaJp7IG3vaqTNrab7IArKlc4g7Vqdy8Ewzb22W5PBJ0T7cvCyJEZNU7TtRc0l0iCcf7axgbmYoqbHhXDYzGqPZir+Xlve2lnLq7PhMDbVKzsCQmdc3FRPq78a8rFDcdCoa2gZ57v0TrFsQx8PXZVHZ2Edr1xCCAB5uKn71+hEevSWHU+XtdPcZx4XOjkEUJUVXTUs/351oZN4Eap4x9F2gBrDaRF748CRr5sVyw9KptHYNScHAajk6tYzGzmGqmvpp7ZJUTz+9MZvdJxp55fNC/vzwfPRKaeUnlwvUtBn4/WhLybfHGshM8OfBazIRBNBrlQwMmfnmUC0hfnr8vV1P/oEJA7P/U2G32blsRgSiKNLWPXTRSfy/MsEfW/Bp1QqXdiuFXECjUtA7aCIq2MNpt3oM65cnjwZQ/+tfilIh494r0gj21ePrqcFothEZ7EF96wA3LUuirmUArVqB2SJVPTe0DzJktODlrh73Ox2Dv5d2XFbYlgM1LHhwnsvPqVMJWHvbJjxGRW8Dvh7TnBREapUcT72a/LLxz+voHaGkppu716WxcUe5Q4UQE+rJLcuSeO79EzS0D7IoO5zF08OxWO08+uphAFQKmUurrL+XlqypAY56+8vzoqhp6UOrVvDl3irmZobh46EhMtidmqYBDMNm0uL9WJAVSnSIF79+4yi9gyY2rEx2+n0IuB5LdhH2n27m1hXJvH1B01igj46lM6P4+lA1fp46l8RJn8FEaW03mQn+vPZVEXevTZvQQvpDgNVqZ3pS0LhWszGkxvpR3dRHdLDHhK+hlgv87u5Z/PHj047fiqebig0rUwj11TmddxHYcbSeKxfF88ePTo97rehgDwK9dS6VdSaryPMfnBw3zhvaBzl4ppk/PjQPtUKODJH8s528+sU5m1eovxt3r0tDq1bQ0TtCXmowcWGevPxJAcNGKx29w44sORjNBPHUTvyZlXJEUcTfXY61onnCvxN7mwkOdk2O+Xtp2XG0g135jeg0Cu5el0ZlYx/vfFPKQ9dm8el35/J5tGoFq+bGIIoipbU9KBUyQv3d+GJvtWNcv7WlhMfX514060YQBFbNjcVitZMeH+BoQ4PRIHo/PZ/squCWZYksnxVNdKgne0828tRbxzBb7VQ19bNuQTxXLIxnxGQl1N+NgSEzPYPSXGhszAf66NCo5LR1D1Pb0k996wAeehUbd5xlVlowi6Y7b7ItzpVaOlfPi3WUbIwhIsidpTOj6egdoq5lgBc3nkKvUXL3ujQ+31OJ1SbSZzDRZzAR6KPDXa+ivcfZeij+gMfgJP6/xcDoRtD/hADy0Ksoq+/95384iUlMYhKjmCSAfgCw2UX8PDXIZQImi41n3z/BnIwQ4sK9mJMeyiW5kZwq70Aul5GdGEBL5xCltd0s9ougd8DI1sN1vP11KVHBHly1OAE/Tw3bjtZxeV6Uk4UnIsiD8AA33EdbA77cV8XJsnanBcjBMy3kJAUxPyuMvaO14+tXJPPWlmL8PLU8cn0WfYPGCRUsRrsCjUKFaHUdOC24+9NcbiAswI2GCfJnIoPc+fZYHbvyG4kP9+LKRQlYrXZEu4hWo2T9imSefuf4uGOYkRJEVVMfIBIX5sV3+Y0oFAI7jtbzsxunc3aCwM5LciLYf1qaPDd3Gti446zT430GE4YRiyOTYNmsaA4XtWK1ifzxo9PcsToVuVygewIJrodeCrref7oZmUwYp2Y4H/HhXi5zeSxWO598V8mUSB9sNpH3tpbw6C3TKayWclfGUNc6wOHCFu69MoPOvhEOFbawbEYkFosNs41xGRunKzo5XdGJIMCPrsrgg23lxIR6khLji360XtQV0uP9UcoEl6HD/6mQ2UVW5EVhtom09w5PqGKbNRaS7YKQkeqtJYuPKIpoFDJ6Bo1cuSjeZQ7HslkxHCho5nhJG79cn8vuE43sPdmE1WYn2E/PhpXJRAa6/Y+b2ax2kW2H6zFbbCydGUVz5xBatYK2nmF+/Md9jq/Xy13NvVek89G3ZxkesbBqTgzvujhepUJGTKino81wDEazjcEhM4/eksNTbx9z2EkB2vpMhPmEYOlxnTdi9Ymis8J5bC3KDscm2lFMYAnadqSOxdMj+O2defQbTGjVCs7W9/Knj0/T3W9EJhOYlxXGtiN1qM5T/Xy2u5L7r8rgpX+cwmi2kRzjy5r5sXT3GzFbbAR463jkhmkMGEz86aMCZqYGc9uqVAoqOmnq6GLEZGVmShBt3UNYbHbaekY4VNjmsHgVVnaRmxzMloPStaSoppvs0bylC7HnZCMvzpnLb++cyYnSdnoGTSRF++DvpWXEaCU62Iv9Bc146FUsmh7BlNEcs9Labr7Lb6Cwqou5maGcKu/AZLYh+wGHQIuiSKC3lqmR3pRfsJBRyAXWzI8lv6wdlRzsE7i2xrKtHr0pmxGzDavNjk6jQKOQYbsgE00lFwjw1lJa28MDV2fyyXcVtHYNoZDLmJ0ewtVLpiAT7eMSh+RyGSXVnXi7q5mbGYpcJuNwUQvNnRJhs+9UM3mpIUQEuoEIm/bX4KZVMiXSG18PDTPTQvjLpwVOga2z00P4/b2zae40oNcoeeSGafz6jaMMDJnpGzSh0yhw1yldFkLMnxZGdVMfGbFeyHzCodP1NUnhH0lTz/h7slolJ8Rf7whIHjZaEUUID3QjwFvH9iN1pMX6sWFlCt19I1isdkf7mEIu40dXZtDSZRhnyy6q7iIjwd8p8+t8JEZ5c7K8nUXTI5iXGcrRohZGzDauWZJATKgnNc396DRKwgLd2bOtnAMFzczNDMM8+j0OG62OEPiVc6LRaZS8vaWEzr4RYkM9Wbcwnud/NJvWriG8PTS46VQo5DK2H6klPFBSBh8qbGXh9Ai83NSOunhvdzV//7KIVXNj+eWtOZwsa2fYZCU11g+1Us7x4laC/PRMjfLhiQ259A6akMsEBxkukwnMTAlmxZxonn3vhNNnFgSIDHZnEpNwhcFhaXzq/8UaeJAyRI1mG8NGy0UtjJOYxCQmMYZJAugHABlSdsYdq1MJ9NGRmeDPruONhPq7c7a+l/K6HqZG+WAXrfz5kwIE4Ld35bH3ZJNTUGJZXQ+/fuMoD1+XRW3zADNSgrh9VQpbD9eRmxxIqL87n+6uoK17GJ1GwaLpETxyQzYvbjzlyP8BqeZ17XzJQuHppsJNq3RM5Gqa+7nx8sQJP8v2M71cn3kphvwt4x5T+obSMKRi76kaHrl+GkeKW8fxBzKZwIo5MXT1jTAzLQREePEfp3jg6kze3VpGWV0PszNC+PlN09m8v5qzDX14e6i5JCcSf28tr28q5oFrMtl5vIG1C+IYMVqZlxlGa5eBJ2+bwe/ePu6Y7IHUxjJ/WviElcogWa0+211JsJ+edfPjmBLlzU9ellIgB4bMuOuU+HpqeeT6aVhsUl1xVWMf5fW9FFZ1kpngz4EzEsFkt4ucqezk0hmRDjvZGFQKGbetSuH5D06MO4YxaNRy3thUzO2rU5DLBP762fh2MLsI735Tyu2rUyiu7nLUF9tEcULSTRQl6054gBvLZ0Xzm7eOceXCeOZmhjrIMccxjFaAy+AHHyz7vw27zY4CCPLRMW1qACcvqCT30Ku4YmE89gsIGVEQGBixcPBYA8NGKzNSggjx04PNTka8P/tON/HA1ZlsPlBNY/sgQb56ls2KZthoZdP+amLDPLFYbKydF8uVC+Kw2kWUchnq71k97xIygbe2lDhCTxfnRBAT6kF5XQ/7RsnfMfQNmnhx4yme+9FsuvpG6BkwMS8zlH3n/Tb0GgX3XpkxrlkLJJWBu17Frvx6nv/RHKqb++nuNxIe4IZSKcNj7jV0f/XiuOcJah1W/6nUtRY7/m1aYgDLZkXz5qYiZqeHjlNIjiEs0I3Xvijk7rXptHQZeH3TudfISQricFErZqsdk/nc+atu7ufzPZKVx2KxoVTKee69E46FJ8DUKB/uuyKdR2+ezpHiVp5+5ziJkT546FV8l99AXJgXX+2X1AO/uHk6n+46l5d0srydJzbM4EhxC119Rqqb+rhrbRoBXhoOF7U5BUfPSA6iZ8DIiNHK9OQgmjoG2XyghpbOIWakBHHlogRauw3MyQjjy31VfLm3CkGQbGU/vWk6hwqa6TeYpewqAWzjBWY/KMhFkYevn8aOo/Xsym/AMGwhLc6PFXNi2Ha4lluWJ7kkVc+H3S4iA0n1OKp8vJD8ARBEkZsvT2LLwRqCfHXctSYVuVyGTq1AJhNQyUF0MawEAWLDvLh7XTpHS1rRqZU8cE0Wdrud594/Sc+AEYv1HHF031UZyASplc1dr+a3bx4dR+QcPNOCt4eGjp5hjpW08bu783jo2kzMFjuN7YNoVHKevG0mT719zEl1l50YwGUzo9h6qIZAbx3JOaswnVe8cO6gZXhMXw57nceJm1bJj67K4NPvzuXRqRQy7DaR21elcqCgGaVCRlSIJ/mlbUQGeeChVxEZ7EF6nD/xEV6cre9BrVKg1yjp5BxJu+t4Az+5YRrldb3jFH/zssLQaRSYzHbauoew2UR+etN0RLvI9qN1ThswMpnAfVekExXiwdCIhZ/flM1nu6uoa+3H31vH6rmx+HtrnQojimu6Ka7p5rd35iGK8OrnhbR0ScT2pTMiiQzyYOWcGDr7Rnh/aymPb8jl6beP0zNgRCYIyGQCm/ZXs+1wLalxEvHz6XcVdPSOsGFlMl/sqWJhdjiCIDU16jVKluZFER7ojp+XBq1KwYMv7cUw4vy51y2Iw2YX/5v2TCbxL2Bg6H+uAPIc3dTt6jcSMUkATWISk/geEMTJTsr/Vdhsdnp6XNuTJnyOTABRoL1niOKabmJCvdh9opETZW387Capvn37kTqGRiykxfuTlxqMIMCTrx91aTfxdFNx28oU/rDxFJFB7lyxKB6zxe6S5MiaEkBitI+j7Wvs3667bAqP/OkAeWnBKBVypwXhL2/N4U8fnXYKmR5DfLgXj107FePRzzCW7HXMotUh8WgvvZe/7WzjSFELs9NDyUjw591vSh010p5uKm5fJVm/jha38ctbc3hx4ykyp/jjoVOx/TzCxNtdzZKcSDKm+OPtrqa9Z5ihEQsalYLmDgORIR689kUhrV1DpMT6ctXiBKw2GyG+7rT3DjNitBDs58aIycqwyYLNJjpaw2LDPFmU4o1KIVDRbmHl/HgsFjt2UWTLgRp0WiVNHYOcretFr1XyyPVZfLCtnOhQT3KSAtl3uonOXiNJ0T7kpQVztqGX/NJ28kvPZSLcvCzJsWDsGzSREuvLpTOiGB4x88oXRS5DgX09NTxwdSZP/P0ILz44D7vNzu/ezZfyUHQq1i6II9TfDYvVjkopw10nWbpig9yx20UsosCP/7SPIaPrleBda1OJDfPiYEEzm/bXIBPgtlWpKOQCu082MmAwOxQRWoXMSc4+Fmz5r15OFAoZ3t56enuHHM1l/v7/b7uk/5Mx+D96H0GgtK6HLQdqGTFJpM6SnAi0Cmc7ligI7DzRyEcXBCdPjfR22O/kchnHSlpJifGjtXsYLzc1ZouN1q4hfDw1tPcM8+WeKu6+Ip1gHx06pWzCcz12Tvv7hzFa7MhkUlubzW5HPaqGkMkERqx27nl+D556NXZRZHDYzLP3zua3bx1zqTYAePCaTNx1Sj7bU8mUCB/S4/0ZNloQRYgN9eSD7WUcKhyfaXPnmlTsdjupcf4MDpmx2e1EBHnQ1i2pLoLcRGxnD9J/4COHelDhFYj7sgepGnLDZgeTRVJ0VDT28d3xBn55cxZaTNS0GvjHvmYncnNKhDcr5sTwwocnefHBuaiVch54ca+jSe3utWn8Y+dZ9Boly2ZF8/evisYd869vn8FTbx93hL6ejyU5EZitNtRKOenx/ry48ZTDYvXcfbP56V8OAhIB9My7+U7P9fOSxrFKKaeysY/80nZUCikQd8RkZcexepbkRODtruF37xzHz0vL4pwIUmJ8cdOpqGjoRSmXSfYWtYKf//XguEW2m1bJ7+6exbDJyr5TTVyxMB5vdyV9EwRcu8L/V+NQUMjoGTTTO2ikoW2QiEB3gvz0DI9Y0KoVaFVy5Fx8Ia1QyDBZJTJeIjVckEAygZOVXePa7EL93XjytlwULt7ALpPxzLv5jvbNMVy1OIHc5CD+9kUhq+bF4uel5Z2vS2ntGqLPYCI5xpfls8erQsagVSt46q48uvqG0WtUPPa3w/h6aogP98LXU4vRZCE9PgBfLw0DQ2aC/fQUVnby3tZyx+bN7csTmB80QM+2V7GPSGNBpvNAs/AOdtZryc2IpN9gorNvBE83Nb4eGl77ohCFQmBBshdyAULCgvhoVyVFF5CqK+dEk5sSjEYlR6dW0tVvZPOBakwWG5fkRGA028adx7XzY5mZGsLO4w0UV3fhrlOxYk4MRrOVVz4741Aer5obw7zMEEpqe3lzs7PdESTS7am78jhe0kZX3whRwZ6EBbgR5KdDLpPxwIt7x/0W4sK8uHRGpMsNkrQ4XxZNj6Coupu81GDUKjl9AyZCA9yQCQIf7TrLYRfXMLlM4Je35lBa28PZ+l7WLYjj3a2SonbR9Aiypwbw9tclLMmNRCGXsftEI1WNffh4alg8PQI/Lw0h/noE68VzDM/H/+sYhP/d+6Gr+/UkLo7ve872nm7mg2/P8vDVGf9yUPjgsIVXNxVz/7o0MuInbo/8d8EP7Xf2vzEOJzGJHxomFUA/AOjUCiqb+imp6ebU2Q4+3yPVo/76jpkIgkB0iAdGkxWj2UZlYx/Pvn+C21amTJg10m8wO2xe9W2D2GyiQy59IU6d7eDyWVEo5IJjcZSTHHiuZtXFW3T2DvPANZk8/77zzrinm4pbVyTz2tYq1s1di3/2ClR2IyZRQVGTiS2f1pIc48vj63P5fE8lggA/vykbw7CFAB8dg8Nm/rHjLKV1PXi5qek3mEiI8OaKBfH84tVDTsfQO2jik+8q+OS7Cm5ZnkRtSz+xoZ4kRPhQVN3FO9+UOCaYxdXd5KVKE+LeARPRIZ7Y7aMhoAFuyOUCFfU93HdFOqHuVrz6yqFsM3aLiWlTZqIkiEqDnIEhC0azDXe9ktVzY7HOsuOuU6FQyLhqSQJt3cM8+fq5ncii6i42H6jhqbvycNeqnAigd78pxd9by5yMUBLCvZga6U1xTTfe7hruWpvGc+/lOxE1WrWCR26YxjtflxAb6olGJaej18QVC+MJ8dfj5a7mr5+eobKxD5AazxZNj+CqRQmOHAuNQmD57Bg+3jW+wUkuE0iP88ddq6CtW8otsIvw96+KCPLVMTs9FK1aQXOnAbkgnCN/BAGTTaSpYwARCA9wR60Q/itCguSiSEaML8lRPogiqBQCNqt9XBZP/7BlHPkDUF7fy87jDTS0DzAnI4y85GBsokhhVSdbD9WhVMjQaRQMjViw2kSuXpzAruP19A2a+Ml1WVxsitg3aKSwpgeFXEZn3wi7TzRiMlu5eVkSgT56mjsGCfTR8ceH5lPV2ItdlAhGYELyBySLYe+gifT4AKKDPfjDhye4e106J8ra6O4bYUluJCaLnc7eYTRqBYZhM0vzogn1d2PzgRrq2wwcPtPMnMxQ7KIU2FzV1I+fl5Zbls4k9Nbp9HV1I8gV1PfC3t29dA+00to1xM3LkvhqXzV2u51fXxuLsvgLzLUFRGl0/GbJcjo0aXx2pIPsqQEoFXL+8mmBNE56RvDxUDMnI9TRcjaG5k4D3u5qgn31RI62EyoVMlo6h2jsMLgkf0DK53ngmkyee/8Ew0Yry2ZFO6kxwwPdaWwfpKnDQFyY16g1VUJ3v6QSee2LIof1BiC/rJ1Z6cHctSaVgWEzL39cgM0u0t4zzIfby8lLDSbQV0dD2yCZCf54uas5UNDsMjvKMGLhSHEr8zJDuWJhPCql8G8zJEWrHT83FZ46JZGBHrz1dQlHzgvKTo724f6rM1EJrkkgmyBwoqyDrYfrMJltzEgN4rLcSDQXELMjFrtLgqC508An31Vyw5IEJ+JIrpCx7XD9OPIH4JNdFaTG+bFhRTLubipau4dZmB2OXRTx99JSVtdDbbPr5iqQAmCVChlebioGhs/l73X3n7MGfneiicXTw8lODOCzXRV09hsJ8dM7iM/Xv67gSIw3P73ud8jN0oK/uttOv1XL1DgVu443sONoHTNTg7k0Nwq7KHLXZeG4dRYhln+JaLOiJo/bFs3gqe5hOvvOKXo2H6glOymIAYOZz3dXOZqtQLI1/vTGbLITAzlxXvBzbJgXH+86y/LZMSzJiUAhF/jmUB27zsv7AckmFxHk7rJxEiR1an5pO1arSEyoFx/uKCc6xAMPnYr508Jc/gaWz47mg+2u5zyFVd0snx3L/lNN7M5v4Kc3TScm1JPNB2oore3mjjWp1DT3O+6DIN1P71qbRkFFJ8kxvuw+0YjNLjIrLQSrXWTPyUY6eoeZnhSEl5uaR185xKz0UBZNj2Bw2Mx7W8t4fH0uJpMdrUqOaJ24fW4S/50YGDajVSv+Ry1xbloFcplA98D3J/gnMYlJ/HdjkgD6AWDEZOWz7yqJj/BCrZRqRr/aV+0IIdSqFdy2KgUvdzW9g0ZWz4t1LNYmgrtORXSIB7UtA2hUigkDW0EKXfbx0NDRO0J4oDupsX48+sohFDJJDZM9NYiWToODXDBZ7BwvaeW5H82hpKabxg4DUyK8SIj0obF1gEtnRLPpcCPLZ0fz10+rnHbmKxp6OVzYws9vms7RklaCfPT4emk5dbaDoRELaxbEkdbcz5HCFqKCPWjtGqJ7wOiUGXIh+gZNtHUPk5kQwFtbSsYF0AJsPVzHdZdMYdhk5ed/OeggrgQBluZFs2BaGOHuNvq2/AlT07mJ48DRL5EX7SZg+WO8uLmcWWmhXJ4XzWtfFLJqbizvfF3K2YZentiQy+suVAQjJiuvfVHIw9dnERnkTn3buXPR2TvCzmP1ZMT702cwExrgzumzHWjVcp65dzZldT1UN/UR7OdGSowvVU292O1w3aVT+emfDzgpsLITA1kzP44XPjiBXZT4l53HG3DXqVg1KwqbzY7NZmdJTjiVjX1OmQ1KhYxf3DwdnUqGyWpn3YI4FmaHc7ahl53H6mnrHuaz3ZJNIDnaB8Vo9o8oCBwra+fNzSUO9YNcJnDLsiTyUoIQ/gvEhTabHfVoro+rJnaVSs53+10vbAD2nGzi6sUJkr3qvtmE+Gq5dskUwvzd+WRXBX0GE/7eWlbNjcVosnK0WFoQjlhs6BSu82+sIry7uZisKQHsOt7A6YpOZAI8ckM2O481kF/WzpWL4qlpGeCLvVUOIlkhF7h9dSrrFsTx+Xk2rimR3lySG4leo8TfW8t3+Q189l0FYQHu3L0unfBAdwJ9dDz+tyOkx/tx9eIEqpv76B0wMTXKB7PFhsVqZ2ZKMB/vOouPl5bkWD9+8+Yxx3u39wzzk78e4cpF8fQMWNBrICPBn4ggCA1w4+olCbR3DzM3I4TpYWD56ldYTOcWaOatf8YjLpvVudfwp6+qHOGra+bHsu90E5fkRnDV4gSaOw1UNPRxuqKDvNRgth6uY+OOch5bn8PWw3X8/asiTGYby/KikMkmnoibLDZkoxP1Q4UtPL4+l80HavByUxHgo+Px9Tn8+dMCth+p4/bVqTz7Xr5jjGQmBHCmstOJ/BnDoTOtXJIbhU6t4P6rM/jmUB3HS9oI8dOzal6spG4Mcqe9e4SzDb2cqeqa8BhPlXdgsdgIDXAjJdYPnfqHmwF0IWw2OzKZjHe2lTmRPwAltT384cOT/PSGacgu2KGwIfCnjwuobu4nPd4PhVzGwTMt7D7RyLP3zkYlSLYilVpBbX0fOrXCpSJy78kmrlwQh/K8U2a2ihMG/QMcK25l5ZxY8svaeHtLiWNDRSYTWDs/jmmJAXzynUQERwV7sDQvCk+9GkGAkpouegdG8NBr0GukbB5X97zKxj4pE88m/benm4roEE++PljDyfIOimt6OdFgYUpEAHtPNaOQC3T0dtPePURsmCeBvnrmZITx6zeP8tRNSbgf/xvmtnPEpfXI58jd9/DYVb/gwdeLnMiVXcfquXw0/+5CvLjxJI+tz+XyvChJ0aaUExvmRW3LAH/8x2kGhqRrwep5cQwZLeO+U7lMdtE5SlffCH5eWlLjfPlV+AzK63tQq+S4u8ipy0kOIjzQna6LqN0a2gYI8JHaDP/88WnuvzrT8d0+/8FJbluVgtVqp7KxDy93NbnJQSjkAoIAb2wq5r4r03lrS4lTG2J96yAvPjiXo8WtRId4sufkuTymORmhWG12+oYsKOXayfrdSYzD4JDlf2T/AkmBLTWBTRJAk5jEJL4fJgmgHwAsNil7omfAyMo5MQT76clODMRuFzla3IpapaC1a4isKf5cnhft2C2cqDkoItCd2pZ+7r86k7buIXw9NQgXyev10KvQaRRcvTiBWekhHC1u46c3ZuOmVdLcZcAwYuaW5Um4aVUcK27BYrWwYk4sz71/ApVSjpebmsLKTjp6R3jgmgy+3l3J4pwIqpr6XGbOtPcMk1/aRpCvjiNFrY5A1DHMzgjhnivSeX9rGWequrhjdeq45q+8tGDmZYZhF0UCfXQsmBZGcXWXS/IHpNDIYH83p2BbkM7J1kO1TInwIsTU6UT+jME21I+6bCfT4jPYfqSO4uou7lmXzuYD1Zxt6MXHQ7LoTNSyU9nYR7/BzM9ums7BgmZ2Hm/AbLWNhkXGUNvcx5nKTnYebyAvNRg3nYr3t5URGeTOitkxDBmt7Dxez7fHGnjs1hye/+AExgsWByfK2gn21ZOdFOQUKPvN4VoWTQ9HLhPQKASwidyzNpWBEQtVDX14uKmICvZAoxRo7zPyty+LHDvcafF+PHz9NN7YVOyY6F5/2VTkgiQM6xww8fevip2Ow2YXeXNLCfHhXgR6av5lS9i/E8ZsVHtONFLV1E9CuBczUoLRKAQne9zA8MQLm2GjBbVKCiH+5LtKcpIDqajvY2F2OD+/OZu+QTP9Qya+PVZ/TpWH1Aw30dV7yGhlYXY4NpvI6Qopuys7KYjyuh7yy9rxdlcTEeTOHz485fQ8q03k1c8LefruPLYermPEZOWqRQl46FV8uL2cngEjKoWMOZlh/Oym6bzwwUmMJhv5pW3kJgexfkWyw5J0/liICvbgoWszMVmsdPSOcM+6NN7fWuZSwfj5nir+cP8cduU38ps3j517YA/Mywzl+kVR2Pe/gWgaHvdcU9UJvJIvd4Rpzs0MZX5WOH/+5DSiCL9+/Qg/uzmHfoOJ6qY+shODyC9r56olCfz+vRNO4eu7TzZx19q0Cb+3QB8d/aNZYqIIZoudtfPjyEsL5uNdFfQPmlg+K5rIIE+GjBaevW82hmELXx+sYVZ66ITqBICdx+uJCvIgyFfP9MRAQvx05KWG8vQ7x9CoFPzspmxe/uQMq+fF4q6bOO/BXa/CMGLhz58U8IcH5+Ht/u+VDWG02jhY4LrZqqKxjyGjFXf1uQBvmUygvt1ASqwvy2fHkF/Whsls46pFCSgVMnYeb+CyGZHUthnYe6oRlVLOfVdm0NRpYOOOcqf7gtVmlxRT5xFAooDL++0YLFY7A8NmXr/gmmi3i3y2u5KkaB8SIryICfEkPsKbT3ZV0N4zjFwmMCsjBD8vHUeKWshNCeGWy5N46+sSLFY7eo2CvLQQvN3VLMgO57n3TzipkOQygXuvTMffS8vM1BDsosgnuypBEFgwLQy91sChM82smR+Hv5eOD3eUE+Srx3OkEUtbzYUfA9tgD6q6Q6ydl0F0qDcKuQy5XMBskSyPv7w1B5tNxGa38+2xBs5UdmK1ifzpo9P85o6ZWGx2EqN8+NsXhY7rD0BpbQ9ldcf5yQ3Z1LUMOJrOQGpQmxrlzZlK14Rmerw/8eFeHCpsccosevSWHNRKOSaLdD8M8NayKDvcEfQ+kUraXa9ieJT4GzJaEQTBoYLuGzTxwgcn8ffS8uC1mXy2u5KNO8pJjfXjjjWpUjPf16VO5A9IvxmjyUZilC9J0T78/ctiROCS3AjUSkmR+NC1Wf91uXmT+H4YHDGj+x8EQI/BQ690CpefxCQmMYmLYZIA+gFALhPw9dSg1yhJifWjpcvA57ur8PZQs2xWND4eGjZuL2fYaGHpzCgGhkxo1XIeujaTZ9874bTY0qoV3LEmFUQRrUpOgLcOmQBZUwM4WdYx7r21agVTIr35+c3TaWwb5NCZFpo6DQR4axk2WTl4poWjRa3YRek4F0wLZ93COD7cXj5uAgTw548L+MmN2RRVdbmUyo/h4JkWfnxdFn/6qGD8YwUt5CYH0TEqQd9+pI51C+MdGUa3r0qhq3+EFzeeckz8UmJ8uX11KqmxvmRNDUSnUVDfNsieE42MmKxkJvjT3DnEkpxIYsM8MY5+tjFVU1P7IEn1eyY8XkvVUWbOnMPegjaaOgz0G0w0tA04vr9/VsFtNFnZc6KRlu4hVs+LxdNNTWyYJ3ZRRKdVIZMJ3LEmlX0nmyQyIcKL1Dh/uvuNHCtppbqpn6sWS5W3F5I/Y9iV38C9V6Q7EUAms42G9kFe2niKFXNiWDojCplox0ujIDcxAFEUsdtFBoatPPrqIceuNUjS/rqWAR68JtPRdhbopcVuFxHkMkfQrSt8vreKe9akwv+gmvzfATK5QGuvkSf+fsRhEzpS1MpHOyv4zZ0zCfLUYLPZsVrtzEoL4UCB64ar9Hh/B2nZ1CFZe3blN7Arv4EF08IJC3AbZ9/0clejO2/hez6USjlDg2a+PVrv1AYyJyOEVz8vBCRiZOfxBpfPB9h+pJ4fXZXOzmMN6LQK3th8bkFrttr5Lr+Btu4hrr9sKvsKmrjl8iT+8W0FS/Oi+NXrR8YRoXWtA3x9sJa5GaEsmBaGp5t6XD3yGNy0SvqHzHxzaLxqat/pZm5ZEMxA9UkXz5SgaT3Nb+9chVwmoNMoaOkcYs38OF7ceIprLpnC374spLZlAH8vLYfOtPDAVZl0DxjHNe8ZRiwYzdZxqr0xXLEw3ukYQwPc6Oof5pHRcPjYUE+UCjlPv3Pc8doeehW3rUohPszrotcLm03EaLbS1GmgsKKT+6/O4Km3pSygmy9PpLZ5ALtd5NCZFq5cFE9pbY/L15mbGcqbm4uxi7A7v4FblydP+J4/NMhkAoYhy0Vta30GE+5qneP/lSo5JqudngGjk+Xy4JkWokM8ePi6afzhw1OUj443hVygrLaHaYkB3HBZIvllbeSlhqBWyukzmFDKnXdN5IJAerz/uMarMczNDOHrA+MJlTF89f9j7zwD46jurv+b7U2rVe+9y5JlFVvuFXebZsBgbHonBEIoKZSQhEACgRAgEELvzYAL2NjGvRfJsrqs3nvX9t15P6y89lqS8zx5kryB6HyTdmZ2ZnbunXvPPf9z9lRx/5osTtf38scPz5KvDqfI3rwmapv6eWBtNjIJpMT48shNuejUciQSgbLaLiKDvPlqT+WI96rDKfLyZwW88NO5vL6hiJPnkC578hrJTg7kppUTOFnRwbSJITRsHGDF1DBkVVsYq9jTWXmIuUvn8ou3TrlLQqOCvbjtsnQ+2FpGbUs/WrWcKxckEBum58vdVTicossTKDcSpxMP8kejkjE3O4KoYC8GjVZWL0zkTx/nuz/febyeX9yQS2HlvhG/ua9excQEf2qb+z3IH4DN+6u59dI0t6fQkmnRfLqjgqQoH6akBrkVk+dCKZfiq1d5GK5rVDIevDYHhyiyYW8V5XU97tJZmVSCKMKpyk4OFbZQVNU1or+IDtEzOzMMuVzC7vxG6lr6uPfqTKqb+vj6QA21Lf1IJQJymQSVTMBm+2G+F8fxj6N/yIp6jPf6/wR6jWKcABrHOMbxP8b3ngCqqqrit7/9Lfn5+Wi1Wi655BLuu+8+FIqxI6wBPvjgA/bu3UtBQQE9PT288MILLFmy5N901p4QELl0ThwRgV789M97PaTfx0pc5RpXXJTIL/9ygG1H6vnptVkE+mj49nA9j96US35FO23dJqJDvEiK8kWtkCKXS/ntW0dpbB9Eo5Lx8HWTaW4f8lh1UwyX/gwMWXn76xJsdifJUb6smBHDkNnGNwdqPQa7DqfIjmP12J1ODF7KUa/FanfS1WdGpZQivUAJhVQqUNsytifCpn01zMoI49PvKqhvG6CqsZe7r8iguLqTAaOVL3d7kg9F1V384b3j3Lt6Ei9+VkDfoIXcCcE8ddcM+o1WAgxq7A4nAQYVm/dXU9XYx4LJkaycGctnO08TG+aNUDv2y1eQSDwmtvsLmkiO9qO500hnn4mwQN2YKqvwQB1KhYzmriFOne7k1PAqp4+XkqfudkXV2h1Onn3/7MS2srGXnccb+MUNU7h8XgJGs439Bc1UN1/YR+L8WGyl3HVNVruT9bsqUcilLJkc4S4JEwRQKGUcymsarj33vID+ISsN7YP86b7ZSMGdOOVwOmkfYxIPrvI2u8PJPz6c+c+G1SHyh/eOj/CIsdgcPPv+CZ68YxoyXKv/cWHeRATqaDiPMFXIJCydHu02hg0L0BETquehdTl8tK2cXSca3Eq8c8v9bl45AYlEgv0cU2f3eTlF/vrlKQxeSo/yCLlU6l7x1muVdPZ4xqqfi/YeI0NmO9ctT+VXfzs06jbF1V1cOicOpdzlMdTd70q0so9BbOzOa2TWJJfvT4CPeszvzp0QzNYLlNm4YpclMEbymdUh8MGWUpRKGdctTaG8voeYUG9sdicRgV6U1Z4h21y/xdbDY3/XW5tLeHBtNrtPNLK/oAm7QyTAR80V8xOobx1w919x4d4IwOsbzhrYrl2awh/eO+6hGOkfsvLch3k8elMuF02O4PNR0tLAVc7pp1dRVtfNpXPjGDBaaWx3pRi++GkBVy9KAlxKSvmwefTO457x30umRtHebaRv0KWGau8xYR8rP/0/EHbR1Z9JLmAnZtC53kFOQWDAZKOqqgu1UsaUCcG0dBrd6XbgSjjce7IJ5XDK11ULEkiM9KG2pR+1UkZGQgB+3io+2V6B0WIjKykQi93pMlt3ikilEnbkN7J6YSKnKjs9UjPBRQD46dVjEpuAy1NHFEb1AwOXCqajx8Tx0jaPUrOkSB9uvTSdngEzO483jrqvwylSVNVFZ+/Idn2irJ3cCcEcLWll+sSQ4e0BydiFSIJEQnldj4cfWF3rAL976yj3r8nmN28eYchk4+3NJdxz1STCAnSkxfnx3TGXF05ytK97v6ykQFbOiuWbgzXsP9mEQafk4tlx3H1FBq+sdxE3OcnB9A6YeWhdDh98W05D2wCCADnJQVy/PJXuPjMHTo0k0U9VdqJRyfj1bdPIr+ggIcLAu9+U0tQxyM+vn0xj+6DHQpVMKuFHV2WwYc/Z8YNiWE39yKsH0anl3HZpOl4aBcdL25BKJB4qos37q7nz8okUnHaRWxIB7lyVgcliZ8fRer7aU0VSlA9XzE/kq92VzJwU5u4nQgN0yGXSv7tYNI7/TvQbbQRf4N3496DXKkaMMcYxjnGMYyx8rwmgvr4+rr/+eqKjo3nxxRdpa2vj6aefxmw289hjj11w3w0bNgAwZ84cvvrqq3/D2Y6NIbOduDBvXvq8YNS6//U7T5OdHMj9a7KQSAQkgoBTFNl1opE9eY2kxfvj46Uiv7wDP28Veq2BJ9866h6MGs12nv8oj5tWTkAmlVDV2EuQr4bkaF8a2vp5ZX05N6xIpavfTF1LPyU13eSmBWO2ji5335vXyC9vzB3TtHFgyEplQx9zs8I5NYZHxbzsCIprRo9vPnMM9Tn10N8crGVCrB+3X5rOL84zhD6Dpo5B2ntNdPeZWDEzhmnpoXT1mXE4RbYerMUJLJ0WzZJp0SjkUuRSCTq1jNsuTaOkuouJ6RcxVLx/1GNLk+ewq+TsyqtGLScsQAe4SJ+jxa0smx4zQrkglQhcuzgZvVZOcZXnvegZsFDb3E9smLdHRPUZmK0OPvi2jHuvyuTpd45jtNguuIofYFC7y1/OYMnUKI+Vzq/2VDEnMwyF4Jo4dfaZOVxchyiKPHxdDkVVXW7vqTM4Wd7OnIkhHnHjMomEpCifMVVeiZEG5NLR03d+CBgw2ugZw7Oio9fEkNmOt0qGILhKQ26+OI3Dxa3syWvEYnOQmRjAypmxfLK9wk0SLMqN4ql3jiEIAvddncmbm4o5UtTCvJxwOnvNxIToyUgI4ER5O3/8MA9vnYLL5yYwc2IIwrABkdFsx8dLxUVTIvHxUrqT8/qHLAQY1HT0mmjuHCQ2zNujpPJcxIcbCA/Q0XYOgTAaGtsHmZMZwe68Bq5fnkJx9djt2WZ3GaYXnO4gKdKHyGAv6kdR1mjV8lGVhWdwpHKAhakzGSrcPernzqjJFO2qwmp3YtApmJcTTkePmQAfNc2dI49rsTnG9FMbMtl4Zf0pHr9lKpfNjUMQBOpa+/lqT5W7HC/UX8tDa3PYV3C2VCkx0ofy+pHx12fw2c4K7rhsIjuONdA76PkMJUX6EOqvZdBow2p3uvriCcH86MoMyuu66eg1YdApUSmkTE8PISLIi1B/LRdNieRkeTtOEVKifSmq7uT9c5Id0+L8EL5H806j1cHxkjampoWM6jmTEGFAq5LhFARe+6qQo+cY7CtkEu66IgO5TOKxgPHdsXquXJDI3Kxwjpa0ehAxMqnAbZemExOq51BRC529Zr45WMOlc+KQCWBxONm0r4ZTFR08ddcMPtxWRkFFB2qljHk5ESydFo1OLSMl2pfS2tEVWbGh3oiiOKr30xmU1naPUNCV1/fw+sZCblwxYUxTcnD55GjGiIDed7KZKROCKaruIiHCwLGKLlYunwuVeaNuL02Zx+7ikX37kNlObYvrnVU93Pdv2FPF8hnRpMX5c/+f9jA/JwL9MPkc5Kth8dQofvvmEfd19Q9Zeemzk8zMCOW6ZamoFFKiQ73ZebyBCbG+/OL6yRgtdqw2B4MmG/1DLo+/sTyCDhe1UtPczxO3TqWzz4xMKjA1LQSJRODuKzLoG7RS3dRLoI8GP4OaL3dXUnROX3XtkmTK6ly/2aDJxguf5PPoTbnklbeTnRzooVQaGLISHeLN0mlRbDlUx5ULEik43cH+grPk1LGSNvLK2nloXQ5Gi51gPw2tXUauWZSEze5AJv3+eHGN49+HAaOVmJB/PG1Kr1HQN2TFZnciH8MfcBzjGMc4zuB7TQB9/PHHDA0N8dJLL2EwGABwOBw88cQT3H777QQFBV1wX4lEQmNj4/93AkilcNWwn+vxcS6costHJibUm0dePQjAH++d7a5ZP6MokUkl3B01kaaOoRErkb0DFp77MA9/bzW/vWMau/ObkEoE3t9azu2Xp/Onj/I9JiOfbC/nJ2uysNqcHgk2Z85nrNp6gMhgLz7feZp1S1NIj/MbESkbF+ZNVLDXCLLiXExM8Kem+ez9uHphIpHBenqHLKPGz59Bd5+ZB9fm0NptdJfnLMgMIifem5BgH2pa+tGo5XyxvxKrzcGU1GAC/TRMnhBMj30IZeI0LBWeqgeZTwjm6Jmc2H7W5HnGxFCP899yqJZ1S1O456pJbD9aR3efmfhwA4tyo9i0v5rwQB0T4wM8ZPEAbd1D9A2N7RFTXteDUxTdyi1BENwDyvNx+bx4th1xTfglAszLiSA52helQopMKsHucGKy2LHYHEiVMl75otBjgrRhbzXLZ8Rw1YJEt1kpuNKhJBKBcwUEToeTZdOj2XakfsRquEwqcPGs2B8s+QOMqXQ5/3NREHh/aymHi1uZkhrMQ+tyMHgpOVjQzDMfnGBoONp67ZJkTpS1u1fcX/z0JDesmMD+giauWZzMV7srKa3rRhAEMhL8OVrcSm1LP29tLqaxfYCrL0pAcIrIpBISIw28/HkBl8yOZV52OLtONLLtSD2XzY3nta8K2X+ymZ9fP5lDhS0jJpsKmYTJqUEcONXMrEnhF/TR8PdWYXc4OVTYSlFVFz+/fjL6Yd+Zc/eRSQViQ71p6hxkcW4UG/ZWcfcVGTz59tERhPfEeH+8NHL3JFqjcqWiDA23+UEreM2+AnPtKRwDnhNtRfoijtRacYquaOmMhAAcDld51vLp0fiMolq02hzMzAhj66G6Ua9x5qRQXv3iFEXVXSzIieDSOXGsXZxM76CVYD8NUqnAJzsqPBSRIX4a6i6gbqxrGaCpY5Df3DGNbw/Vcay0DaVcyqzMMLKSAtm4r5o9eWeVHl/tqWL6xBDmZoYDUNPcx5N3zmDn8Qa+2l3JrElhBPpomJ8TwYufnuSrPZUez6dWLScnJQjJBRQf/2lwOpxsPVzLg2tzsDmcHgmKKdG+3H1FBkq5wJYjDR7kD7jUji9+epJf3jjFo38zW11kX21L/wgTYrtD5NUvTvHEbdNYNDWKgtOd1Db38fnOSpZNj0GtdJkyF1R2Uf3GYa5ZlMS6pSlIBIH6tgG+PlDNtQuTWDA5gq8P1LhLk89AIhG4aEokQ2YbKoV0zDLeAIOaoqqRiyZltT2olTLCA3VjEqQJEYYxTarNVpdv4JaDtdx7dSZPv3OMWosv0TGTsNWc9NhWHhCJJGYKNdtPjXqs2pZ+gv00bgKovm2AjIQAqpr6WDo9hrRYPxRyKRIBlk6P5uPt5aP64+0vaOaK+Qm8tbmYV78sRBBgcmoQz32U5y7NPoN7rsogJyVwzAWl5CgfOvvMHCho5uaLJ2C1OXn0r673uLdOQai/Dr12gOuXp6JSyAjwURPip2XR1CjC/LX84pWD7mM5nCLHy9pYuySJ+tYBDyI3JcaP4uouJsYHsGxGLGaLfdRUTYdT5OPt5axZnEx4oI7ZmeFEBXtR09xPWpThguOncfz3wSmKDJls/ycPIO/h5N/uATNBPpq/s/U4xjGO/3Z8rwmgvXv3Mm3aNDf5A7B06VIef/xxDhw4wOWXXz7mvv9Jg2GFXHrB6GU4YzTqGjQKAqiVUmZMDCW/ooMAHzX9Q1Y0Shlmq2NUGfgZdPaZGDDa0CpldPaZWZATwQdby0asRFvtTl76rIC7Vk3kmfdHem746EcvAUuN8aW9x4ivtwqbw8Etl6RRUd/LwcJmnE5XiYdOI+f37x3nwbU56LV19A95EkFKhZQFkyOpqOtmb34Tl8+Lp2/Qyh/eO87D63I8TB/PNXmSxQABAABJREFUh7dOSXl9D0lRPszLCGJpmhrx1NeIh+vAEEjG9FV8XWzhUGELSrmUOVnhtHYO8f6WUuwOkR+vvJKgjPkY87Yg2q0I8dPp1sXy1Ifl7lKElbNiUStlGHRKVs2L5+sDNW61zuLcSG67JJ3S2m7qWgd4+t1jmK0OJBIBH/1IpYG/t5oh84V/e6coEh6oI8Cgxk+v4sG1Obz7Talbhu6lkXPlgkTCAnRcvTAJmdT1XZ29Jjp7Tfjo9dy1aiJ/WV8ACOhUck6Ut4/qZfH1gRoeXpeDRiVzlwzNzgxnwGxHK/eUw2sVUn57xzRe+qzAPSkJC9Dxoysz0CqkHkbIPzR46xREBXkxOyucQF81nb1mdhytp6ljEJVCin7YnNfuhKMlrW5D98NFLSRG+rBiZgyP3ZRL76AFpyiy9VCd+/cElzpMpZCyfHoM63eednv25Jd3oFXJ+PXt03nhk3zqWwfYcayeS+fEoVfJqKjrobS2B4kAH20r57plqdy/Jov9Bc1IpQK3XZrGR9vKOVDYzCM3TeG1L4vc5GJkkBdrl6bwyfYKalv6WTEjZkwfDY1KRliAjodf3k+Qr4arFyYBrgQ4vU5BXcsAWw/Vctm8ePy91djsDtRKGVPTQth6uJbPvqvgmXtmsf1oPTVNrhj45TNiON3QQ1yYgdmTwpidFcag0YbDKeLjpeTAqWaumRWCqbWawJX3YG4qx1RzColKhzNlIfltMj7YVsfD63IwWmyIokhbj5FDp1qw2Rzceln6CO+PmRlhlNR0cfGsWI8Yd3BNqJMifVm/01Wqtf1oPbUt/Vw0JZJPd1QwMd6fS2bHMXNiKAYvBRv3VmN3OOkZsBAT6j3msxPo4yoVkggCHb0mlk2PxmZ3Ulbbjb+32oP8OYODp1rInRDMgsnhhPhrefDPe7nqokSSIn3YtL+Grj4zSVE+3HJJOl/sPu32nIoL9+a6pSnIZa6Swe8L1CoZWpWcZ94/7vIumxaN1eZEIZdQ3dSHVCpgsops3Du6547DKVLZ2OuhVMlJDkQqEdh2eHSyzylCUVUXpxt6yCvvINhPQ1qcP/Vt/YT4ablhRSqvrHd54rz2VRFqpYxQfy0Wm4MblqdisjnYuLeax27J5a9fFLoDEM7s+/WBasICdCycEsmmUdSzMqlAYpQPr3wxOvFiHDZlf+6jkaqduHBvNCqZmyg9HzMyQjFb7IT6a2ntGuK5+2az41g93ulrCE5biKNkB6LDjjZpKjIvX/rz1/PHtRfxZf4g357wJNiCfDWUnKPePaM89fNWEewXxqOvHiQ7OZAfXTkJrVpOzQXKlo+WtA2ravSkxvhSVNU5gvwBePHTAv7y0Hy+2FU1YqyikEmYPzkSq82BTi0jLc6fe57d7f68b9BK36CLLPb1VjE7K5RZYiiRQV7Y7A4GjbYRar3WLiOTEgP43VtH3f+TCHDpnDhe/qyA3kELszPDSIgwjHltNc39GLyU3LQyje5+M/1DNgxeyh90MMI4/jEYzXacIv9wChiAl9Y15ujuGyeAxjGOcfx9fK8JoOrqalatWuXxP71eT0BAANXVY5sx/qdBInERM2di28+HILjKCvIrXBP2M8axqxcmMWVCMDXN/fh5qwgP1CGKEGAYu/NXyqUMGq1kpQRiMtuJCtF7lAqciyGTDXF4n3MJl4nx/nT0mnh4XQ7vbSmluXMIlULKvOwIspIDOVbcws+vn0xeWRvp8f60dg0R5KNBIhH45mCNmyxYv6uCX982jQ++LeNEaRtOEdLj/LhuWSpWm4MBo43f3TkdBIFf/MVV9nWgsJl52eHu0pZz4a1TIJdJ+GhbORkJfjw4T0XX+sdAdE18bN3NmKtPsnDRrdSmBZCRHEpRVSeDRhtSiYSqxh5++tpJ4sK8+cnqO9h3op4YdRASESanBqOUS5mUGEBnrwmVQsq735SiUcm5d3WmO0XEV6/iqXeOufwezkFkkBfldZ4JZSqFFF9vFXrd2H5VCREGFHIJC6dE4nCKmKx2GtsHSIgwsGJmDHaHE7lUgl6r4Ks9VchkEmZnhvHYXw95DJSnp4fw2zumc6CgGVEUR0x2z8Whohayk4Nc6pNFSRwpbmXbkTqeumsG/jqFmwQSnSIhBhWP35yL2epAFEVUCilK6d83xf6+Qy4VWL0oiU93VNDUMUiIv5ZLZsfSM2DBW6tAKRNwOkRARC6TYnecnWA0tA2wN7+JFTNjeOqdYyOOrZRLuX55Klq1nIr6HuLCDaycFcuBgmY+2VHBkNnOq1+c4t7Vk/jpC/uGS0ugsLaHpo5Bls+IJsBHQ0vnIH/9shABgcmpQaRE++CrU5KdFIgI5JW3c8mcOHy8lAiCQFv3EG9sLHKrB01WO4unRtPSOeRhhKxWyvjJNVn8Zf0p/LxV3HH5RF7+vICOc3yF0uL8eOK2aTz3YZ6HgjAy2Iufrsnm1S9Pcbqhl6b2QaJD9VhtDtp6jLz2VRGr5sWTkRjA798967EklQg8f0cWxl1vYjp9jD5AGZqAMjQeURRxaHz47EA5j9w0BT+9msKqThrbBokL92bp9GgEBN7cWMwvb5zC468dZFZmOAuyI1CpZDS1D+J0imQkBnBiODo9Pd4fq83B8+dNtk839HLD8lSykwOZlh5Cz4CFqmFC4vFbcims7GL9rgounxfP5v3Voyofls2IYdO+ahblRtLaNcSRYdP2ZTNi2JvfiEYlY0KsHxJBoLS2202Qf3u4jh9fNYn7nt/DgsmRWGwODzKgrXuI3gEzN62cwDWLkrHZHRRXd9PSNURUiB7Zf9Cix9+DSirhtkvT+MP7J/hiVyVfnOOXdPncOBQSAZtTvKAatKff4vbBUitlXHVRIg3tA/QMjG2U2tptRKmQcdncOCKD9GzaX01D2wAhflpWL0zk+uWpfPRtGdctS8XfoKaqqRcvjYLQAB0mi4Op6SFs3FvNwtxI4sMNKORSzFY7HT0mrl6UhNMJaoWUqsY+Ss4pFZMP+/F9vG30dzGARBAoqOxwe4Q1tA2glEuZnxPO5NRgnKLLV+780tQAg5rUaF+2HKolOlTP/pPNbD1YyyM3TaFv0Ipd5Y+3QY+pZD/9eVuxdQz7SRXv4/LFP6a5x4fC6rPG2WmxfqzfddaM+dK5cRi8VLz25SnWLErmd3dNRyKRoFJIsDvECyaQ6tQybrkkbdjLR05kkBdOJyOSQQHau4d4+LocvtxTxfGSVpwiTIj1Y9W8eHYeq2dRbhSzs8I5Xto2yje5noHeAQt+ejW/f+84vQMWblwxgfgIb7dC9gwykwKw2RxMSgyg4HQn0yeGcPm8BPYXNLkVu9VNfaTG+I76XeAatylkEu5+ZifLZ8SQFudPbIjXmPdiHP+9OKMm1yj/8SnZmbLLrv6xFeXjGMc4xnEG32sCqL+/H71eP+L/3t7e9PWNnUD1r4bsf1l/a7GLWG1Obrk4jV+9fnhEnf8ls+PQqeX4DJteTk8Pwd+g4TdvHqHlHB8PjUrGH++dTVuXcUyPjWUzYvjuRANZiYEkR/vS83deFjabA7lM4iaAEiIMXD43nq2Ha0mL9WfFzFgCfdR4aRU4RZHefguCRKCj18jbX5cikwo8eecMPv2uwiOFLMhXw62XTESjknLHZenUTovG4RCRSlx1+Fabg1mTwugfspBXdna//PIOnrxzOr2DFg9lgp+3ih9dOYk3hxOLLp3sT+/WZ93kz7no++5tbln7DP0SPd39ZkwWB1lJAVyzKIlPdpRTVtvD5oMN9A3Z+GTPMVbNiyfIV01rpxGNSkaQr4Yvd1fhb1CTlRTI6YZePt/pGhBPiPVjXnaERwmVUi4ld0IwX+45O4nRaxXcvybLXQK0cmbMiFVhpVzKzRen8ehfD3lMrtPj/Fk2I5rfvX3UPZi8d3UmAT5qZmaE8au/HWLI7LmiebCwhUBfDRfPjkMiMOZKMbg+Wzo9mvk5EezNb2TXCZci4ZUvTvHL6yYjk3l6GCiloFR7diXnbzMWpMOm1VLpP3dy+r9tg/8rCAL7C1t47Zy45/rWAf6y/hRrlyaTmxaMRBSRyATkEoGLJkewaX8NggDXLEoiMkjPibI2ZFKX+ei5q88SAX56bTZf7amk5KuzE0SpROD+NVmsWZTEh9vKOd3gMlyelRHK/MmRPPTSPrdiCyDYT8M9V03iwbU5PPnWUbYfrScjIQCfWAVquQRBcJmTP/ba4VEvMcRfi83m5I8fnOD65amuRK3OIQJ91KiVcj7dUUFlYy8/uSaLFz89OSJ9pKiqi4+3lxMb5u1BANW3DvDellJuXDGBbUdcqie5TMLUNJcJrF6rIDnalyfPWXkHUCllyIwdmE6fJcwszaexNLvancZs5ImbrqWl18Z9z+/2KIFKjPTh2sVJzM+JAESevXc2XX1mXt9URFltD4IAkxICuGxePFabg4WTI3nq3WMjPEd8vJRcuzgZjUrOxbPjOHCqmY++LffYZkFOBHddMYlvD9dx/5osXv68wP27SCQCK2bEYDTbaWwfJMRPx+XzEtwkk0ouZUZGKIumRnGirB2HQ+SWS9IYMtl4a3Mxg0YbxuESzhkTQ3nijbO/3YLJEcyYGEpeeTuffneanJQg/L3VRIfoCfRR43A4kUj+xe1iFPxfvi81yoff3TmD97eUUt3cR6CPhqsuSiA12heZAAjCmO85cL2riqo7mZsdzlULEtCr5chCvImPMLjNwEfsE26goX0AvVbJC5+c9X6pbxvgmfdPsGZxEr//0Uze2Fjs4SPz9tcl/Oknc9i4t4r8ig5SYnzZebxhRNreypmx6HVyFkyJZM2SZGqa+/DWKgny0wwTdKP3m9lJrkWf7441oFbKuG5ZCj5eKhQyCRqVjGc/PEFPv4X7rsli/8kmDhe1IAgCszPDmJ8Twe/ePkpn79k2evPFEyg43ckH35bxhxtTaf/kd4jWkcph6543uOaiX1JY3YNWJePOVRl8tbcKUXT1VRdNiSQhwhXfvvqiRAZMVj781tU/uQySJzIpMZD8UdSmEgHiwg08/JKn797yGTFcsyiJj7Z5tq1DRa0syIkgJdqX+dkRAFQ39/H5ztPcdmk6H28v57K58SN8ywQBVi9MIjpYT155GzuO1nPDctci09tfl/LkndNdCjmHE1+9itsuTcfucHC4qJWMhABuuSSdwqpOvtpdSVigjj/eO5vtR+vZcrCW8ACvMQmurERXyZoowub9NcSEeqNTybBfwMfpX4V/Vrv/V72vf8j4n9wz4/AYQKeRIf0HPaKkUik6tZyeQcu/vZ//Z2P8ORvHOP71+F4TQP+JkEgEfHy0/6t9Kht7SYw08NbmYn7/o5l8e6iW0roefPUqlk2PJjLYi+c/zOOyuQkAhAZoWb/rtAf5Ay4Z6c7j9WQnB3PLxWl8sqPCbcwqkwosyo0mNcaX371dSXefmWB/DSH+2hEpQ2cgCBAd4s0Tt02jo8eITCahuWOIZ94/zq2XpvPGxqIxS9fCA13mpM2dQzz66kF+d9cMrpiXQHuPEZVCxoDRypNvHWFedgQKuZRvDtZw7+pMPt1R4R5Ya9Vy7lqV4S59A/jxVZN4df0pJsYHsCg3ip4BCzq1HD+9CgS4dkkKggAJBiNdg6MP8kWHDbmlh1++U8jA0NnzV8ql3L8miw/MZRwubuWahUkcKmwhKcqHiCAvJILAHz88QUV9r3ufbw/XsWRatNs3p7i6i8vmxLk/D/LVcN/Vmei1Cv5031waOwZRyqXoNHJeWX+K2pZ+okP0PHBtNhkJAWzaX0PvgJnESB9WzorlL+s9lRUAhVWdxEcYmBgf4C4b2pvf6Cp3aO4bQf6ce65T04Lx91aTlRzId8caRt0uIyGA7UfqOVrS6jGwrWrsw+oUCfDTjbrf/wV6/T+efnE+/pE2+L9Be7eRd74pHfWzT7ZXMDcrHH/fs99/2dx4jpe1c9HkSBrbB/hwmDToG7KyfEaMmzwEyEkN5lRlx4hob4dT5I8f5vH8fXP4cHhiNGSys2yGS0VkNI8sYfh4WwWzs8JYlBvJhr3V+HmrMJyjDowUJIQF6EY1pb3nygy8tAruuWoSTlFELpXQN2ghJcqHR4a9NVQKKVKpMIL8Ucgk+OhVnKzo4EdXTnL7Up3B6YZe/L3VWCwOHr05l8OFLXx7pI4gHw2P3jyFzftrR5xPSrQvsrqjY8ZWm8oO4Tt9Nfe+c2yE6qaivoeDhS3kpAShlEvp7rfwxN8OYx2eiImiK7K6srGXn67JpnfQwuB5/mQp0b7cdlk6f/m8gObNxdxzVeYI8gfgu+MNZCQGMDszjM4eEz+5JguVQkpXnxlvnZL9Bc1s3FdCUqQPrd1D9A5YWLc0hc93niYmVM/xsnaPErD+IQuXzI7jsZun4nSKKGRSbliegkIhZe2SFA6eaiY8UEd4oBe/fuOIe7+9+U0E+Wq4c9VEvjlUw5Kp0dgdzn9puzgf/4x26Oer5ZGbc7FYHcikkhHpk7dcnMZjr41Mqgvy1ZAe709mUiA6jRyVwjXU8QZuXDGBn728f8Sk3VevIsBHjb9B7UH+nIvT9T2uxK3hd1R4oI7L58XjpVEwaLSxclYs4YFeeGkUI8gfcClbfnptFn/7qgirzUGwn5ZbL03jF385wM+vz+HaJcnIZRIOnmrGKbrewVNSg7l2STIP/nkfOrWc2uY+EsJdQQ+P3zKVT76r5cYVEyit7eajb8tIifHlZ9dPRqOSYzTZePKtox5tdHp6CDKphD9/ehIAldPI4CjkD4DTPESUAR5cm42PlwofvRKJJIrZmWH4eKk4VtJKRV03sWEGTFYHT7511E2+OkV4++tSHr4uh+qm3hHEzM2XpPHNeaEJ4CpDvn9NFt46hcc+iZE+/PnTfG5ckYZCLqG9x0RChAEfLyW/ev0wCREG6lv7mRDj5xFksGZxMk6nE5vDQXZyEE7R5ZVW19LPj67MYMhoxaBzLWDdvyaLV784RUq0LxPj/YkI9uKhF/d5jI8+2V7Bz66fjJdazrGSVm5eOYHXNxZ7XINBp+SGFakcK21zj4M++66CrKRA/P+NbRD+Ne/Df+b7+r8FF7pnjgbXgnWQv9eYRu7/E/joVQya7f/Wfv5fifHnbBzj+Nfhe00A6fV6BgZGrv719fXh7T22B8O/Ek6nSH//2FGwo0GjlNLYPsTqi5J49+tSwgK1rFuaglwqQamQ8u7XpfQOWt3SdYkgcPI8M+Ez+Oy7SnLTQtBrVVw+N45rFiXhcLg8NAoqO3hqWDUikQgYtEpqW1zGiC9/XjDiWHOzwhkwWjnd2MPMjDCOFrfyxa5Khsx2VIoL+xa195hcUdRaBdfNDcPH0gz9rRgUPnQ4dLz5XT3tPSa+2lvFL2+Yws+vn8zv3zvuQXYMmWz8ZX0BD6/LYeO+atLi/Khs7KWsroeyup5hLyQZczLDCA3Q8cHWMre55su3JFzwng+aHZgtnj5CFpuDv35ZyLqlKby3pRSn6IrwDgvQMWSykVfe7kH+nMHWQ7X8/PrJqJUyzFY7fgY1P7tuMhqVjACDmn6jleNl7agUUuLDDe4Jd8OwR8SA0Upr9xAvf17AzElhpMb4Yrc72ZffNOZK9XfH6rlhRerZOFqJgFIhpbPHRO6EYGZMDEUhl1LT3Me2I3X0DFgwWewo5VJOVnRw9UWJ7C9oHmHCG2BQE+Sr4c1NxaN9LU6Hk56e0dOj/hFIpRL0ejX9/SZ3ytj/dfDyj7TB/w26+y2jpvWBK+2qq9eM4pxFPLkAv7ltKo0dQ7y35SxxdLS4lfQ4P65ZlMSmfdUMmmzMmhTGX0Zpi+C6rvzyduZkhnG6odeV0ieIIzy0zqCwqpOLZ8di0CnZk9eEn7fK47eTCvD4Lbm8vbmEw0UtOEWXku6+qzMxWx089OI+dxtXKqSsWZRER6/J3T50Gjm95ygI1UoZdyyLJsHXidjbjKD1R+MvEhGko6HNk2SyO5wsmxHDb9886i69KKvtweClon2UKG2lXILkQquBEglmq33UkitwxdDPmBiKKMK2w3Vu8udcDBhtFFV3oVHKmDExlD35TcOHFrjriok88upB+gatzMsOZ9/JphH7n8GmfdVkJgXy6bA5bHigjpsunsCQyYavl5LL58UzPzuCX79xmPYeE9nJgfz02iwAD/JnxcwY/A1qD7NsL42cO1dlsONonStpMTucrKRAfvKnPSPOo63byPYj9WhUMnoGLPgb1P+rtvuf1A6lgGh30tPjSXRGBGj5+fWTeX1DER29JiQC5KQEcfPFaaikAqLoxDRkwXSO0X6QQcVjN+fy1y8Lae0yuhVgN1+Sxouf5HPp3PgxE9xmZIS5Exvjww1cvSiRV7845VbXuAzw45Bf4Fndm9fEtPQQvj1cR21LP4WVnTz/kzkcLW7lnW/KmDkxlKfungm4/AGVCimtHQM8e8sENJYupJZ+VEE2fnN9GuWNvcSEGtid10j/kJWbL07jeGkb728po7S2myfvmM4Ny1MJ8dMikQg4RBFvrYKHXtznPp+/W5EkCPzp43xsdieP3ZzL8x/lIZNK3PfoFzdMoaljgBNl7SPM8S1WOyaznV/dOo388nZKa7rx0StZMi2aU6c73W1MqZASF+YqZT3d0MuevEampYeyddjUOjLIiwCDmvQ4fwJ81Dzz/nGGTDampoWQHufPbZemY/BS8NXuKi6eHUtcuDdVjX3o1HKSonzoG7Twt6+K3H2lUi5lzZJkIoO8qGrqZd2yFKKC9VQ29nLrpelsP1KH2ergr18UjlgcczhFnvswj9//aCZHi1vx0ip44rZpHDrVTFefmeRoXxIjDVQ29BLip+Xi2bE4HCJvbS7GanP8W9sg/JPb4Sjv63FcGP+Te9baPoBEALvVxoBt9L7nfwKtUkpT+8A/dYz2/wP/ac/ZD4VQG8c4zsX3mgCKjY0d4fUzMDBAR0cHsbGx/5/Oiv+1xFchk1BU3cni3GiSonyICzfgcIh09A6x81g9qTF+rJqfQN+ghbtWTUQQhAvWkVfU9XKqsoOZGWEcLGyld8BMfkWHh4HvRTmR5JW38/rGYn68ehIPrcvhw2/LaGwfxFevYuk017notQoyEgLYeayBwqpObliRilIhJchXQ6CPmvae0VcO48K8mTohmHCtlaHNzzDYcVZt4uvly9Nrf8YvPqxhaloIVpuD7n7zCKULuEigth4jmUkBTE4J5svdZ8uoRNGVfJaREMjT73p6qTQNCITpA7D3jyTKBLmSfnSjRup295vRaeSsWZRETKieCbF+iKKrNvt8JcO5OFLskoubrXb2nWxkyGTj0jlxHClq5e2vS9zbyaQCt182kQAfNRPifJmWFkpChIG/bSiiZ8DCpmFvnuzkwFFNo8+gf8hKQriB5Ggfymp7mJoWws4TDdx5+US2Hq7jlS9OYbLYSYn25a4rMth2uI7Kxl4GjDbae42o5BKe+dEs3t1SwomydmRSCXOzwrl8XjyP/vXgqN+ZEu2DQib5l0jYHQ7nP/W4/6xjSaUCFoeIxeZEJpWglAl/N8ZXNso9UsglbD8yUhHwxsZiMhMDuOeqSYT4a5GfM7EaDd39Znz0KtYsSUYmFbDZLnydDoeIRAIPrstBLRu5vQy4ZWUq65amYLM73YmE9z6/x6O/sFgdvLW5hJ9fP5kQfw3P3DOLvkEzep3rGVXKpTx5XTKqA69haz3bRgc0en55yYM8uaHFTQIJgkvd98cPT2B3ONGoZFw0OZK0OH+8NDJEUfSI0o4L92bxtGhAA3lbR71OVcpMOk1jv84sVgdatZzeQcuYMd0AZbXd3H5pOplJgbT1GCmr7WHptGhKqrvdagSNSk5Hz9jGtq626e1Oe0qL88PfW01RZxc2h5PcCUEo5BImxvtjszspON3J0eI2es4xpw4wqMhMDOQ3bx7xOPaA0cazH5zgsZty2ZvvKvVRyqVjvg8OF7XwwNpsth2pIz7M+99efvLv+L6UCG+evGO6K91QKkEiERBFEbtTRBxj8hAb5MVvbp2G2eZAKhFQKKT0Dpi5fF4CEsnY7VupkLrLZ69ZlMSzH5zwaK92h8gXuyu55ZI04sMNIxI0waX8iwg+G/ecGuPHCx/nUzVsVv3R9nI+2l6OQafkgbXZvPJ5Pg8tDcC04Q8Mml0Tuz4gIDKVmMV3U9Bkp2/QQnyYN3K5hOLqLsrre7jv6ky6B8z4eqt5Z0sJhZVdqBRSFuVG8ePVmTz3YZ4rsU/p5TJSN49UAko0euzys+9Ki82Bze70eHearXZkUsmo7eq6ZalsPVxLfnkH8eEGokL0hPhrae82svNEAxKJwJpFSUQEeVFS04VEImHV/HhaOofoG7SiVEiZkxnO9PQQfL2ULJ8Ri83u5Fe3TMVosfPh1jKe+eAEEgFmZoSyemEiMqmEH181iQGjDYfDiVoh44mPDnuQwxabg7c2FeOrV/LO16V095uRSgRuvyydQ4XN7C9oZk5WuPs3OR8mi53mjkHmZYVzoLCZ8EBXqqlep+BQYYub6J8yIZikSB8a2wfd3oZKifTfngL2z26H/+z39X8DLnTPegctqJUyXD79//iz4aVRUNc28IP5bcafs3GM41+H7zUBNHv2bF599VUPL6CtW7cikUiYMWPG/+ez+5/DZhdZMjWaviEL8REGXll/iu5+M75612r8xn1VPPDnvYiiS9p+y8VpLJsezTcHa0c9XpCvhmMlbczNiqCmqZfq84ylk6J8iArRuyf6f/7kJEunRfPTa7MRnSI2uxMvrZzGtkHK63qYPjGEg4XNdPebeWNTEaIIy6ZFc9VFibz02Ui1gr9BRVyYN/mFtfh1fHnWVHIYjoFujJue5fc3Pc6ukgHW76okMdLH/blCJmHaxFBC/LX0Dlj4YEsZv75tGkPmkWkdszPDRiVm3t/Twi+X3oZ90+/Bee4+AobFt/PC/tGNIsHlpVRc3cXfNhZhsTrQqGRcMiuWNYuTefHTk8ilEpZOj2FSgj8yuRS9RoHD6cRmc6BVK+jqN5Nf3s6bG0uICtHzq1um8sG3ZW7flr+sL+D5++Zw3dJUBk02HA6RK+YnsO9kE3uHV0Tr2waYmhbCjlHKCACSIn04UtLKpbPjyQtqQxBc/iN//iSfysazg9bS2m6eeucYP79+Mlm9gZTXdePjpcIpCnirpdy9KoMhsx2z1Y5WLUcpk7B8RgzvfO1Z4qRWyrj9sonIBPg3j13/v8EpCJTU9vLW5mK6+sxIJALT0kK4blnKmOSnr16Fl1rO+YM4pwhGy+iKufyKDhraB/jdHdMRBGFMM3iA9Hh/tCo5R4pbWDkjBtMYSiQArUqGIECAj4bPdlRw04pUzugSBKkEi93JoMmGQi5FJhFQKaRolFI27qsec4LyzYEapkwIJjzIi437a5g6IYS4cG/So7zQFH6B5RzyB8Bp7Mf2zTPctvBnPPq+y+D2DOnb2mXEz1vFj1dnsnFvFZv2VyMIAk/cOpUth2qx2Z3IZRKuX5bK7946yvULIslIno2tbK/Hd0i9fJFkLEfmPGumLpMKyGVSd38REeSFRiXDbLGj1yrcRtfnw+ClxC6KfHOwmrVLUjCa7YQGaD1MiOta+kmO9vXwgDkXk1OD0KoVPH33TKw2JyqllA+3uspKb1yZiiAInG7oZchsRyII3LRyAt46BZ8NlwJqVDJ+fv0UD+LY454OJ8plJwcxIdZvRCrSuXA4RQQEhkz2/8O04j8bdrsTqSBQ09zH2+dM5mdkhLJ2cTJyYdi0/pwb4HA4kQJa+XCLcDjx1ykJ8FYzaLYT4qd1p+Odi44eE/HhBmx2B/VtA6OStdEherx1Cm65ZAJ9g1YsVgebD9RQUe9ScyZH+VA73L5D/FzvuNGIht5BC0eKW/nFlQn0f/RzRIvnM2upL0E4/AX5AznsyHPF2n+4rZz7rs5kRkYo5XXdzM+J5Od/2e9W5pitDjbuq+bk6Q5uvTSd5z/K42ClkSkL72Bg83OennmCBN3CO9lTPoRMKmDwUo3oF+QyCe09Rry1SvRapUfJlk4tIzRAy5ubXIswlY29VDb2csX8BCrqe1k1L56IQC/6hqw4nSKCIPDNgRq+3F3JihkxLJ8RQ3SInuLqTry9lBRUdnKirI2LZ8XhFEUee+2Qm4xzAsfL2lk6PYYNeys5UNCMwykyJzMMH71qTGXgloO1zM+J4POdp3E4Rf6y/hSP3DSFXSca/y5JM2iyU9s6QIi/jpZOl5n7+Qqoo8WtXDQ5kk+/q2DFzBjqWvqZGOs7HgM/Dg8MGG3/JwPoM9Br5HT3mxFFV3saxzjGMY6x8L0mgK6++mree+897r77bm6//Xba2tr4wx/+wNVXX01QUJB7u+uvv57m5ma2b9/u/l9hYSFNTU10d7tWrQoKXESGr68vU6ZM+bdeh0QCfUM2uvstfLC1jLVLk/HSKAjy1fDbN494TDTbuo08+fZRHrs5lxNl7SMmMllJgVQ19eJwivz1y1P85vbp5Fe0c7ioFUGAxblROJwi7b1GD2nzlkO1bDlUi69ehUzqMo88WdFJc+cgqTG+3Hd1FlKJgM3upH/Iip9BxaDRyg3LU/ls52n3QGxmRihrFifzwsf53L04GMvxwlGv2d7XjtTSzxe7qtCo5AQYXLW+2cmBrJwZy668Rg6daibQR8Mdl09k0GRFFEWyU4I8yiT8vNUe5tJnUN86wGsHFNx59e8QS3fiaK9GYghGl7OCNpuOotqR6UvgGtBKBMHDQ8BotvPR9goumRXLotwoJqcG8e3hOjbuO2uGOS09lNmZYRwqbiU8QOfe/1hpG5v3V/PA2mz+9pUrYUkUYduROgw6pdvPRS6TsGRaNLddls5rXxbS0WNCrZSNOhERBFi7NBlwJZEsnR7Nk28e5bplqR7kzxk4nSLrd53m6oVJ9A7IMHgpefmLAm65OI2/flXgvn8SicD87AhWL0wkJdqPjfuq6OozMzHen/nZEajlZ5KtfviQSiWcbuzj2Q9OuP/ndIocONWMxebgwbU5PPrXg+6SQ3CpYB5cl41KJmC3e94nQYRZGWHkl49eujklNRiFVIJEgBtWTODxUXxNXF4vOkwWOytnxiIVnWiUUqanh3CwsGXE9qsXJuFvUPHO5hLCA3Uo5RJsVgdOicCWg7Vs3FftXslPjvZhzXByVN0YproAzZ1DJEf78ps3j7gmrg29/PKmXAKkgxg/PDrqPk5jPwGyQRIjDFw2N57oUD0Oh4ivXsXNF6fx0mcn3eo/URT5eHsFD1ybzTtfl5AY6cOuEw2YrQ7+trWGey5eQFJsLtLS7YhWE4qEXBTxk2m3qtGopOROCGLGxDAUchf5Y/BScrKinfhwA129Jry0ChZOiRw1ahpcZso1TX3MzAjDZLHz7PvHefSWXAJ9znoRFFV3ccX8BL49XDuiDDY2VM/87Aj+9HG+OwZcrZRx+bx4clKDiArW8/rGIo9EwAOnmlk1N54ZE0Mpquri+mWp1LcNjPB4O/93CA/UERaou6AKLD7cQGv3EDMnhY65zfcdMpmEwpoenvvorG+PwylyvLSNiXF+pMT44XCK9A5YEASBAIMKpVRAPG8S7nSK4HSgV0l5YG0Wj7x6yIPgkcskpET7Eh9uGNWDDyAzMYCFuVG8uanIXRZm0ClZtyyFQF81+WXtZCUHulOuctOC2FdwtpxQp5bjb1DTO2ihd8BCUVUnVyYaR5A/Z2Ap2cuKSxex91Qb3jolC6ZEYnM4mZQYQHSIF+9vLRtBSoDr/Wh3OPE3qHh9Yylxt03Gf81TWAq+hZ5G8I1AOXExPejQmyw8uDYHcMWo37gilcqGXmZkhGF3OlHIpAT7aVinS+Z3b7veq+GBOu5fk8XuE40jvnvAaGV2ZjjbjtTywsf5bq+jnOQgHlyXzTPvn2DzMNEcE6YnKsSLE2XtbDtcx40rJ7DtaB0GL5VHkEGwn4ZHbszljx+coKblLHmuVMjGNAkHVzuaNSnM438HCpqZnBKExeoY4UN0BoIAIf4aCio6+fS7CiYPlx3+9cuR452Smi5iQvUUV3eRFOXzH1HSMo7/LAyabKj+GQSQVoHdIdJvtOGtHTtddhzjGMc4vtcEkLe3N++88w6/+c1vuPvuu9FqtVxxxRX85Cc/8djO6XTicHiulH/wwQd8+eWX7r/ffPNNAKZMmcJ77733rz/5c6BRylm/u4pl06Jp7zHy509O8tM1WdS19I9ZYvX+1jLuvyaLP7x/nK4+M2qljPk5EaTF+vHHD12pMl5aBSfK2th5vIGMhAC8tAosNgcvfVbgNiY+3z+ke7gMIcRfx4GCZh5am8OGvVUsnxnLa18WehjGToz3Z83iZH50xUT0WhU6jZzyum7yytu5elEiAdoBRlIzZ+E0DWK1O+nrGiLIT0N8uDcLJkfymzePuFfs6loHOFba5opeTglkQU4ER4tb3QPzjh4jYYG6UVdrT1R08ZmvjlC/WQROmMuABVRtCg4U1HL53PgRKSPgkvVvPi+N6wy+PljLSw/M5dUvCz08mJyiaxLnFEUCfdQ0dQwyNS3YnVJmtjp4e3MJF8+KdftHtPeYPEoNbHYnm/ZVs/qiRDITA8iv6OD1DUX85JpMvjve4F7RjAz24qqLEvn2cB37C5pJj3MZncZHGP5OaUsPolMkyE/D/pPNrFmUzJ8+zvcwG3Y6RXYccymO1i5K5LaVE3A4RWRSAYfd+V9D/gBYhz0bRsPx0jauWpDA8z+Zw6HCFmqa+wnx15IS7cvn31WwZnEyeo0Cu8OJRCKgkklw2J2kxfoR7KehtctzMqdVyVg5Mxanw4kTiPDT8ujNuby1qZjG9kFkUoEZGWFctSCBX79+mJYuI9PTQ7hp5QSkopNrlyQT7K9ly8FaTBY7vnoVl86Jw2JzcKK0nRtXTqCmuY99p1qYlBjAwZPNrN/lqdQpq+3hlS9OccvFE4gO0VNY1TnqtYcH6ugbnpwuyAzk0skBSNuOow+PxDhK4p77GsUh1ixO5q3NxbT3mIgO0XPH5RORyyQjSj+Lq7vo6Tdz9aIk4sK83Sa/ThFe2FCFr17FrLRlqHUCpg4ZjvZOjpW0cc2iJK6Yn8iTbx91J3gJAszLjsBbp3SRNcPJQ3Myw9z+I2dw9cJEBk02okP0PPjiPtYtS+GaRUnIpRKykgL5fGel26/o9Y1F/PTabDbsqeLk6Q5E0UWi/fiqzBGmsSaLnQ+2lvHg2mzqWvs9yJ8zWL+7khfun0NkkA69VkFpbTdhgTo6ekfv/8MDdXT0mLDaHHT0mJiY4M+p056/mUQicP3yFLYermVaWgg/1AVhs93J2994qqXUShkPXJtNTUsfBac7OFnRgcMpUlbXg83m4PbL0pkU749wXu2cKAg0dpnYebyeh9flUNnYS13rALFheqZOCHGR4CJctSCB0+eR7TKpwCVz4vjtm0c8SJfeQQsvfXaSJ26dxtJp0fztqyIEQWBaejBzsyL4dEcFBi8lNyxPRSIRaO4YxN+gRquSk1/ejr2vecxrFx02gjU2/np7IiaZFy9uqGJDi6s/unf1pDHbMbjaWUyoN8dK2vj5a0dZNj2Gi2esQ+KwYhZl7CxuIyZU5N1vSt3jAoBZk8K48qJEfvbyfrf5vFQicM2iJO5bncmrX57i1kvT+ejbMkIDRgYGaNVyth6qYd/Js9cliq7FEpvD6X43f32ghsvnxWM02/l0RwXXL0/ljY1FLMiJZO85HlwyqYSfrsmmZ8DsQf6Aa3wQHuRF3igpZDDcjs5rY139ZsL8dWw5VMvVC5NGJXUWTolCFGFXnkvdfKy0jWkTQ/DzVo0wxZfLJDiGnwc/b9WYZYnj+O9F/5D1n6QAcpE+3f3mcQJoHOMYxwXxvSaAAOLi4nj77bcvuM1ohM7TTz/N008//S86q/8d7E4n3loFpxt7uXtVBv4GFU4nHoOc81Hd1Ifd6eTXt03DbHXQO+CKfjSZ7cOpG32cquzAW6ekrnWAutYBAn3UXDonHoCdxxtYPiNmVBLEV69CrZQxc1IYX+2pYkZGKK9+cWrEiuepyk68NNVkJgXQM9DP6xuLcDpdCRtP3zgBwTqEIJUjOkYvfZF7+2O2ugZQn+6o4O4rJvH0uyNTfMBFeOWkBPHONyU8ddcMPtlRQV5ZO3llbdx95SSOl44s6ZIOl+z89q0jaFRybrkkDS+NgiPFrUQF6/nRlRls3l9DY/sgof5aVsyMIT3en3fHSHiyO5yYLPYxDbgPF7Xw6E25PPP+CX50ZYZHTH1j+yABPmcTmNLi/DhcNFK18c3BGm69NJ38ig7MVjt9Q1YSIgzMyQzHW6ekb8jC6xuK3L9FYVUnn+6oYEZG2KjmuWegVEgJ8tPSN2ghJlSPxeoYkTR1BjtPNLBqXjxKiSuU2GH/7yF+zsDmcI4gas5FQ9sAInCosIUAHzUFpzv4dEcFF8+Kpaapn/W7KmnpGkKtlLF8RjRLpkajlgr8+rZpfHOglu3H6rE7nExLC+aqBYmoZcLZsgDRSXK4nl/eOAWb3YkoilTU9fLwi/sYHJ5wHSxswd+gZtXcOKrrushKCiQhwgC4FGvbj9bhq1eRER/A/X/a425TD1yb7eGjdS5aOocwWR3kpgWz5VDNqMqBi2fHcaCgmZW5ISwP68Cy/jmcohPnpT9BotTgHEOpYFT609VjdquLSmu7KX37KPeunuT2sToXzZ1DfLGrklsvTUerlntMqrr7zWw46FIWzMwIRSqV0NZtRKuW89hrnqoNUXT1dSH+WnInBGN3OKls6OXaJcmsmBnLqcoOlAoZGQkBLtk8Ihv31+BwihwubGHFrFgeefUgf7x3Dj+5JpOXPivAZHHFuL+1qZjbLkvnlkvSsFgd6DQuwn20REWAj7aVc/m8+FE/A/hydxUPrM3hRFk7u/MaufuKjFH7GplUYMqEYH79xhF3+crtl6WTHOXLjqP1DBitpMT4csmsOLx1StYtTcXpFLmAtc33Gja7SEePiZRoX2LDvDFZ7AT6aNhxrI7L5ybQ1ecqp3aKcPcVkXT2mnjli1M8dddM/HVyd2mYVCqhrKGPp4b95LYfbSAhwkCAjxqVQopCNqyAlAjsPNHA4txotGq5W4mSkxLMwVMto7YbUXSVGy2aFsnqhYkICNgcDvLL21g8NYrF06JHvGP1WgW/vGEK2Mcepkm1Bpw9LfRvfhl5TBZXz7yKx9/vprqpj6qmPrQq2ZhhDb56FQtyIogK8mJCnB8BBg3dQ3Z6B6y0dfeSnRLEI68cHPE87zvZhMFLSVqcP0eLXe84h1Pk/a1lPHpzLn+8dzYffltOfkUni6dFs2GvS+1k8FKyfHoMUyYE85Pnd496TicrOlizOJmPtpWj08ipbuojLECH0ewitlu7jFhsDrTqs/dkRkYoEolAef1IYrXgdAeXzIljy8FaN3l7LpZPj+GvX3kSPPHhLgPn0tpuooK9eODabDbsraKmuZ8AHzVLp0UTHaKnpKbLg7w+oxzaetizJD0l2pcvd1dy79WZ2GxONHLJuApoHB4YMFrx9/6/J17ph0mfrj4zMSH6//PxxjGOcfxw8b0ngH4IsDucZCcH8fH2ci6eFUt5fS+1zX0E+43tPK/XKmjvNvGrvx3mpQfn0dQxyNubS9wrdcnRPtxx2UQEwTVhsDtE2ntMBPtpkEklnKrsZGp6CCtnxrLl0NnBUVSwFzddnMZfPi/gtkvT+XJ3FUunR49ZjnCosJmrLkrkvud3uwfS8ycFoav4hkHRhlfmRfQf3zJiP3V8Do0DAnFhLqPM0w299AyYx/TmsDuctPcYMegUFJx2EVt3X5GBzeGkqrGPO1dN5L1vSt2DVYOX6/PNB1wT2f4hK70DFhxOJ5NTgvj0uwpC/bUszI3C3+BatXPFP48cLAsCeOuUOB1OBs1jJ5+JomvlefrEkFGNRM9M8LVqOZMSA0Yl30wWB1FBOn51y1T0WgVvbCqm+ByvkbtWTUR7XkzowcIW1i1LIcAwtmn0wimRvL+l1BWHnRyI74yxt3U6RYwWO0r1f2/3oFRIuW5ZChKJQFltN0dL2jx8G6KC9fz+fVdq3ZlyoqQoH4L9tbx0ToqXyWLn852V1DT3s2p+Ap9uLyc9PoCn7pqBUi5FKQWnQxzhCWGyOnn5swIWTY3i7c0l9A9ZR0xgvj1cx7Lp0cSEeFPV3MfzH+W5P5MI8NjNU/n1G4c9PJtkUglD5rFNpls7hyio6ODRm6bywif57v5Eq5Zzx2Xp+OiVeGnkLExUYln/e/d+A4V70OcspffA+hHHlIclU9LmROstRy6TIJUIaFRy+ocsvP11CTevTHMTQAqZBJ1GwaDRisFLQWvXIPOyI3hnFD+cuDBvVs2Lp7PPzPzscHfS3WjYtK+aAIOaP32cT3qcH6kxflQ19tLSNURTxxDvbC5m/uRIrpifQFO7S+W4ZFo0b2wowu4Q+XJPJavmxPHr26ZhNNlQq2X0D1r5ancVc7LDXQlfetWYprHgIoG9tcoxP+/sM3HwVBPBfjr6h6wcL23jtsvS+WBLqfs389Wr+PFVk9iwpwqnU2RXXiPLpkfzzPsnmBDrx+qFiaiVMmpb+tlyqIYr5idgGvb4CvAZu81/n6FQSHjs5lzK63ooqenGSysnd0IwceHebNpX7aH02nakjpyUIO64fCJf7qnktpUTEEQRq1PE4RRp7R7ihhWpVNT3cKSoldMNrnfT4cIWMuIDUEkFrA6RbUfqKavt4de3TePZD07Q0jlEkK/G7fMzGmpb+6lp6uez706jVsqICdVz16oM7A4nL356csQ7tn/Iyu/fO87TN6UjC4jC3jHS6847dyUDBTsBsNXkERSSxMyJkZTUus5/XnYEG/dVj9hPKhGYnh6CE5EpE0JwOJ2cKGtj/a5KjGY7y2a43vljkZk7jtZz9xUZbgLoDD7dXsH9a7KYnRnGnKxw1EoZa5ckszuvkVsuTqN/yMqQyXZBHzmT2UaQr5oFkyPpG7Sg08gRBFd5KEBVUy/Lp8dSVusqz52SGkRXr4lAg2bEsZwirN9ZyU+vzeL1DUVuIlmjkrFmUTKnKjvdakFwvb8nJQa4SfKth+s4Ud7O3VdkEGBQu89925E6dh739Da02BzIZJ7pb5fOieN4WTs3rpjAruMNTJsYglym4AJ5huP4L8SA0UZkkNff3/DvQKWQIpdJPBR74xjHOMYxGv57Z3j/QXA6wFun4KIpkfzp43zWLUvheFkbD16bg0QijGoYuHxmDBFBOm69JI3+QSvPf5TnYXJZVtvDr/52mJ9dn8P9a7J59v3jOEXYtL+aO1dN5OXPC3jty0LmZYfz8HU5iKKIn7catVLGI68epLvfjM3uSujpu4DJqFOEviGLx3cvSDdg+XofFocD/6W34Z17Mf352xCtZpDK0KXNwZFxCX94p5i7rsjg+Y/y6Bu0jprKdS5EEZZMi+F4aRvfHq5zR8QCTIj1445VE5FLJXjrlK5kF7mEvkELSVE+zM+JQK9VoNcouOniCRi8lOw60cg7X5egVspYnBtFeJCOmuY+kqN8EASB3gELM1IMzE31RuhrQq5So/N2kJ3gy4nTo6tnTBY7MSHe+HurSIn2pa3bSHe/GYNOidXmICnSh6sXJfHNgRoeWpvDM+8fx2x1oFXJWLM4mUBfDXWtg6iUUpyiyI3LkjD2diOVCOTVDLB5fw3XLk3mqbfPehg5nSJmi4PtR+q4fnnqiMlydIiehVOi+O1wotCJ8naWzxw7JU8QQK347+0anILAyYoO9uY3YbbamZQYyOO3TOVvXxXS2D6IXCZBp1WMKF1aMjXaI+b9XJwoa2fp9GiKqrs5ebqT97aUsjg3iivnx486GRAFuOWSNPqGLKyaF0+Aj4bOXhMfbD1LBpxJ5NFr5K5I+GEE+qhZsziZ8rruERMtURRRKqTuWHFXBLYfy7P80Cik6Lx1vPhlCxfPiuVXt0zFYnMwaLIhiiIKmQRvtZxlM6JxHnqfc6eGpqo81NFpGGZeSf/xb3Cah0AiRZk0jcGUS3jtvVJuWqnjJ9dkIYouP5ZAXw2twyopHy8ldyyNIkJnQxzoQPAKwaEy0OdUI5OamZQY4KGGyUwMYNmMGJ54w+VFlBrj61ZAnQ+JAAEGNf4Gl5KjsKqLX71+iJtWprHjaANpsX48uG4yQyYbhZWd3HbZRPafbEKtdMWna9VykiJ9MFod1LX0kxLjy/tbyjhS3Ep2ciD1rQMoZBIKKzuJvsCqa4CP+oIJctnJQezNb+SaRT6olTL2nmwi1F/Lk3fOQBDAYnNittoQEECARVMimZsTjkImxSnC1/urKa7uQioRmJUZxpJp0Xy64zRrFidR2dRLWqzfmN/9fYUguMpnX/gk38OrZUFOBA6Hc0SZH7hKOLOSAl0JM06RAZONli4jRpONPflNGM02JsYH8PgtU3ljYxF1rQM4RWjsGCQ53Bu1Y4jfXZeKRK5AKoFLZ8fh663CS+NSA41Vihvqp2Fauiu2vLF9gEBfDSU1XWjU8jENxbv7zdT3CQTMvQf1qc8xVRwF0YlE7YV37kpEmwVzg6vPkWoN6H39+FGcHkuvBYdGBxpfGtsHyDvHe0wiEXj67pls2FvFvpNN7j4iPtzAT6/N5vmP8iiu6kJ3zkKDVi0nIkiH2eKgtqUfk8WV/HU+2rqNFJzu4C/rTwHg46XknqsmMTUthMKqTlo6hwjxv3CkskQi8IsbpvDt4TpOlLWzZFoUqxcmEuyrxUsjZ9Ykl/fQmTJrhUxC36CV6FA9fgYVsyeFkRDhg9Xm4EBBMyfK2shKCuCn12Zjstix252olTJUCinfHDxb7p0QYeDOVRORySRcsyiJ0ppu9FoF0yeGolHKOFzkUneNtnADMHtSGGqljKbEQfQ6JbMzwxg0WtGo5Ai4lIj1rQPcflk6/5ekp3H8sCCKIoNmG+p/QgmYIAjotQq6+sces49jHOMYB4wTQP8RUCmlnG7sxUujoGfAQmunkcggPb2DFn66Jos/fZzvQY5kJwcSFqDjgT/vY8m0KMICvXjs5ql8d7ye/efU1fcOWmjuHEKvkfPMj2dTWNlJR68Jb52C5+6dzaHCFnoGLPT0m9Go5Tz51hEev3UqOSmBbDtS76pddzovOGCTyyRIh80lJAKkxfnjrZFgcbgmpJ1b/oomcTIBy+8CQYIgCNiR8MquZtp7TLyxsYhf3DAFqURAIhH46bVZbNxbPcKkVSaVEOynwe5wkhzlw7fnyayLq7soru4i1F/L9ctT0apdaQj3r8kmr6yNT3dU0N1vJjbMm+uXp3LRlEiWz4hhwGjFaHZFulY39TI5NYRV8xIorunionQf1OVbGPx8KyBiB8wyBXcuvpt3lAHsK/Isz5iY4E971xCpgSL+/cX8OKkB0S+aHlkMQ1IvdCoZ2SmBvPpFAZMSA5HLJDx+y1Qa2weJCPLibxsKqRr2ldBrFTy5LgVN9U4Up3Yi2q0sjMlk4WWrMCmVPLwuh+c+ynMnJQnD6VxpcX784Z5ZnChtY9BoIyPRH6PZTl55m3uAIYrQ3DFIdIie2paRaVNTUoNRK6SIjrETpn6ocAgCL35WwKnKs94ZWw/VcqCgiQfW5vDs+8d5aF0OMgEig7zcRr/gascXWnlraBvEz1vlVrl9e6SOhbmR+Go8FV0ymYRBk50n3zrq4U8RF+7NA2tz+MN7xzFZXKltcrmU3kEL0cFezJoUSoBBQ2yYNxX1PaOWfhw41cz87Ai2HKpFIZPwq7Up+LYdx7b/DZymQRThyTxyyRp2FDbw3rYqVAopd12Rwa7jDdS1DnD1wkRmpgcyZBypdOj+7l3UsZPwX3oHdl0gbQNOtpf0s+3tYqx2J9Ehev7w3nGPa0qK9OH+Ndk8uTYBtv8JW/fZ/kvuF0biFT/nb3md5CQHsTg3ioLKTrzUMmZkhPHAn/e6y23auo3My44YcU7LpoSwfJIP0tZi5M27eG5tCiUd8Oo3NQwarczLDicjIYDnPjzhYei9cEokEUFeqJUyHrw2m/e2lFLV1IevXsV1y1I4Mqx8mJcTwSufF7B2aQpFVV3Mz4lAKZdisY1sO5fNiSc0QIfBS+mhOgAI9deSkeDPruMNfPZdBY/dPAW7Q2TroTo++LbclWo1MYQrL0rEKTq547KJdPSaKKjoRKOSkZkYQFqsH1KpgFYlxymKdPebSYnyQSoVCPMf6cXyQ4AokfDupqIRRr0GLyUfbB19og6wO6+RlbNiEQRX6dDholYPgrG1q44DBU08dN1knnr7qIu8D5QhVO6l69CXaAa6UQRHo5q+Bp3MiyffOopSLuVn10/mu+P1iKPM7y+bl8Dv3j6KTCrhsrnxHChopqFt0G3oPxZMVjv9cg36ObfgNWsNEmMXjsEeBgp2Yq5zecpJNHoCVt5D1/Y3sXWdJb3kfmE8vOpn5LdEU1TViVYtZ0Z6CFsO140gxyobe/nbV4VcuziZ97aUEuirQaWQcs/KWGK8LNBSCiovHEGpbM7r8SCdzyAqRE/zOUqmngELH35bztqlSSRH+zJotLlI5/MI3TNIiDDQ2mWkor6Xbw7WEh7oKv+anh7CjmP1PHrzVKQSgbZuI4umRHLlgkQAAn21iE6Rn183mfe2lLFhb7XbF/HFB+bR3mPiSFErft4qwgJ0fLy9HKPZzi9vmkJj2yCCINDQNsCx4lYqG/sw2xwsmByBv7dL9WO02JFIBKamBBMTqsdqc7L3ZBPHSloRRQjx1zIxPoA3NxcR6KvB10vJyfJ2egYsHCtt47plKYQH6jha0obDKY4rgMbhhtnqwOEQ/ykeQABew2PfcYxjHOO4EMYJoP8AOJ0iPX1mAn1dRMuOY/XctWoigyYb24/W87PrJmO02GnrGiI6VE9dywB/Gi732HqojrAAHTuPNzAvOwK5VMKuc5I3Tp3uxGy1c6KsnZhQb368ehJP/O0wnX2uOFudRk5+RTsdPSYevi6HrQfriA0zcOslekRR5OF1kzFbXcqV0WrsF+dGYbE53Old+RUdDFglqPX+OPpdk2hjxTGMFcOKFUFC8E3PsnaGg2uy1fj4enOqsZeXvipnyGzD36Di8nkJpMX5e3iVXL8shSGTjZOnO5gxMXTMdI4bVqSiUcl5fUMR2cmB7C9oZt85XkpVjX089tdDPLg2m8ggHW0t7aT62YkZOoAgmHGap9Ho8KWkppvFga0MnvAsXxPtVoa+eYF1q5/iQEmnW52VEu3LNQsT8bO1Yd70ND3Ws5Ncby9fQi/9Jfe9cRJRhPvXZLH9SD1PvH4Yh1Mk2E/DmsXJxIZ6uwmgh1fFId3xRwbPmRBbqo4j1BcStO5pPjzRzHXLUnhjYzGLp0ahkEmICPLiwT/vQyIRSIr0QaWQ0jtkZlp6KMF+Wtp7zpbXffpdBY/elMtLnxV4kEDp8X4smhpFZ7+JIG81dvt/DwkkkUjoN9lIjHRNmk9WdLgncgNGG3vzGnn+vjlIcfmprFuWwpNvnU2+kkokw6UKox/f6zylDsCe/CaumhuH7RzCwGQXR5A/4Hp2N++vZvHUKL7aU8XyGTHIbENIB9vQnt7HdVozirhZVA5JOVXZweKp0ew64VmmcLCwhfvXZNE3aGFqvBZD/rtYGs6aXVsaSrB8/BgzL32ErT5qOnpM/PmTfJ65ZzZ1rf0cL2uju9/MsphJGE8fH3GNpuqTOAUZ25WLWL/f1Q8pZBLuWJlAoHyQRy8LwS5R8l1RP1uONVNe30N7Syv+R1/B2u1pdmvraqJ705+4ZN6POVZt5MvdlfgZ1MzODGPn8QYPr5WuPjNatRxfvco9+L1seiiL/RuxfP577MAZyiU1JotHrr6SI9X9LMyN4tFXD47wHdt+tJ64cG/uWjWRr/ZWuUu7MhICPLy9ZBJXSV196wBJUT58+p2rBOaV9afc8ewSicCKGTHoNHLe/aaEx2+ZyreHajlc3IpUIjAzI5SMhAD++sUpVs1P4GRFOyDw+3ePuUtw7A7YeaKRk6c7+e0d0/nDe8epauobLvGV4HCK/P7uGRRUdrJxbzX9Q1bUShnLpkejlEsRBAHHWA/m9xg2u3NEGRJAc8cQRsvY5bpGs43YUD2VTa6Fl9HIiCGznW8P1TI3K5wgHdiOfsbQqZ3uz62tNVi/eJKJl9zP5XNi+WJPNUazjR9dOYnXNxS5yxEVMgnXLE6mtLabxbnRvL6xiOc+zOO2y9Kpae7H7vBU5Z2PAIOGX/3tEGarg8RIA7+YJ6Nv0589tjHkXkz3ng89yB8424ZSVzxIeZ2EupZ+0mL92HG03r1NRJAX184OJtQLQETno2CHnwapIPDUjRNQ7H8NW0vF2YMKEq5Z9iO2t/SOONdl06N5+ZwSWIC5WeG0dhl54vUjiCLUtvSxdkkyVpunD11cuDdrl6aQV9qG2ebgZ9dNprPXRElNF+09JkIDdPxu2OA9Pc7PbdBcUd+DXqvgwbXZ/O7to5gsrvs4ZLKxaZ9LFbd8Rgwb9la5f4+fXJPFV3uqKK/r4c2Nxe52lhztQ2ZiIMnRvnx9oIbjJa04RZdZ9PXLU9m0r4odxxpcquGpUTxwbTZVjX3Myw5HAIJ8tBwuavHouwXBRXSfru9Fr1W4vLh+eE1xHP8gBoyucew/iwDSaxV09o0eHjCOcYxjHGcwTgD9B0CQQniQFxabA6lEoLvfjNnqYNuROkpqunE6RSbE+rI3v5n2HcYRpVJbD9WxeGoUb24q5vFbprInvwmnUyQ2zJvFU6MwWezMzAhDo5LR0DaAr15FR6/JQ2Xz69umMWS2sWW4rOraJclUNPTy6Y4KNCpXosrXB2rIK29HFF2TjsVTo0iK9kEhlzA3K9yd3lVcbeCBGatxbH/5vAuVELjqQQbzv8V68jtw2ulEICY+h1+vu5JH3i2js9fMa18WcvcVGczLDsdkcTAvO5yTFR18uK2cK+YnYLHZ+fVt03nhk3yqhydmWpWMG1ak4uOl4mcv70cErluWwvo3jox6z9/cVMwzt2WS1rcPy/4dZ8tZSg8SEhzHE9fcR88XY5iEi07kdUf4w4+W0twxhE4jp7alH8dgD9ZdzyFaPV++joFuzN/9lV+tu5umfnh9QxGN7WfT1Fq7jDz3YR73X5Pl9vvxsTR5qCHcX22zMHR4PavnXYNUoeKXN04hyEdDe6/JbV7tdIoeZQhRwXoigrw8FA59g1Yq6nu5eFYs3jolgyYbXho5GpWclz49iUYtZ+2SJIJ8tSgljFqG+EOCUxBo6Bjkqz1VDBhtTIj15ZLZcby5sdit8jlY2MLqixKRIOIAYoO9uPuKDN7+uoQhk42iqk6yk4NGNSRXKaTotcoRpKXd7hyRztQ7aBnTCyuvvJ1l02MQRZie6AV5X2As2OH+3Fh6kODgeG5fciu9diUBwySO+zqdIn/6KI/n7puNv62Vjj2jJJ2JTpyHP2DVtLW8+o3LQ+tYaSvHStrcfUburWnINHqcxvMUZIIE1dQr2P6mi7xVKaU8d+tE5Cc+ofegq3xFKpGycsJccq9dyK8+KMVXYcPaNnrynqW5En+5jbAALUtnxBDooybAoPZQXp3B25uLuffqTN7fUkpdSz8LJ2ixrH9/xHa2mjyCwtOZnDKZkxXto5rOA3yxq5Jf3TrNnaoILjLnXANXQXD5qezOa+ShdTn89s0jfLStnJtWTnBN6m0O9FoFOrWcB/68D0GABTmRzM4MIznaF6PFzvGSNjbuq0YUobw+j9/dOZ39BU2j+q9095s5VNiCn0HFgimRBPqoMZrthPprOVzUyuc7T7u3NVnsrN9VSVefmWXTo5GPUrLzfYcII8oc5TIJGpWMKanBI8zFzyAnJYiqxj4MXgr2F4ydslXX2s9NKycwwc9G2xs7R92mb+fbLFz5KOkJUzHolLz1dTH3XZ2JwyniFEWUcinbj9ZztLiVR26a4t7v0+0V3LRyAlsO1oyZSpk7IZi8snZ3311R30uzmIK3PgB7/1nSSh4QgXXXyGcdwNpShcExREyoNxPjAxAEwT2GmBTvy52zvbDvfgl7r6vfMnr58sC8WzjZO4Sh9yj955I/AKKTvm9eYuZVT/Phdy7C26BTcu3SZA4XtXoki0olAjGhen756kH3/w4VtrB0egxTUoO5Yn4Cg0YbWrWcpo5B/vxpPvetzkQU4aXPTtLeYyIzMYD6tgE+2FoGuDwNr1iQyK/fOILF5sBXr+K+q1373LkqAy+NK0Xvy92V2OxOqpv6kEoEfLyU9AxYsNqd/PnTk9x3dSb9Q1YPvz5/bzWTEgJ49sMTHv1mY/sgv3v7KD+7bjJ55R1095v5ak8VCyZHMDHen4OFLS4iVnSyemEiVpvTHYqxbmkKcpmEqkbX+1YhEdypYOMYxxml7j+jBAxcSWDVzSOV3eMYxzjGcS7GCaD/AAwZ7cjlEgqrOrl8bjyf7TxNV5+JzuFVJL1WQX3roEcE+7no7DW53f8LTneQGu2LCKyYGcNT7xxzD8ikEoEVM2P48epJvPLFKeQyCV29Zq5ckIDZamfLwVrARe7Ehnnzm2HyxGi284f3jrNkWjRLp0ejkEnx0ij49nAtz3+Yxy9umMIrX5xyT6QqG3vZ3RrO3IV3Yz/8MY6BLpDK8Ft4M6aaUwzmfXvO2YtYKo+hNg9y48LV/GWzy7Dyo23l/PTaLHafaOSFT/LdcbPvbSklKWo6Xhopy6fHoNcpcDpdK6iCAOt3ncbhFPE3qGjuGN24GlyyW7W5k4HCHSM+s7VWIZh6sQ+M7ssA4OhuZk9fA98ersdqdyKTSnjxugisQ6ObwFqbK9BgQqPy8iB/zsXnO0+zZFo01Y09yOt3Mdb6tbk6n56wxbyzq4UZE0MI9NGMugp+BtuP1Lul8megkEmICvHikVcPIoquv612J3OywgkP8uJwUQtGs4OHX97PU3fOQPnDmzu64RQEvtxbxdcHat3/q2zs5btjDTywNptn3jvOkNk+wr9FEEUmJwWQHDWDpo4hFHIJ83IiaOoY9DB0lcsk3HPVpFHTt2ZNCvVQ/0gkjCgPOhei6CpvmTIhCH+hna6Ckc+vvbUS7/aTbKyL4EdXTmLzvmpOlLW5V7KvWZREV68ZWWPeKN/ggrWliulLfOiyyNh+pJ6OHhM3LE9lwGjDaLVhU3nhfflj2A68j7mmABBRBEYhmX4dJqUfD671ZshkJ8ZPgrj3rxhrTp1zwx1YCr8jUBRZkZuLxH5hv4K+nj5Ka6RkpwTx0bfl+HgpCQ/UjVBttPeYeP7DPK5bnkJKlC+K/I/HbEPOwq3EX5nLvoKzkzyFTMKszHCykwMRBJfi6nxyrri6k8vmxnNsmOQ7UdbOtIkh7D/ZzMZ9VTy0LoePt5fz3Ed5eOsULMqNIjc1mBc+OQm4fr8Dhc1kJQbyp4/zRz23xvZBCs6LdD8XlQ09XLUgkRc+OUnDMBH2ixumsHFY4XA+9uQ3cuWCBLeJ7g8JcqlAerwfhZVn++pbLkljw95qLp0T56EIOwMvjZzJqcG8sbGQe67MRCqREOKnZfG0KIJ9tVjtDrr6TESHeNPYPoDJ6sDZOdKA+QwcA93oBAsb9jZy2dx4Tp3u5NTpTqQSAUHAQ6lmtTmRDJfr9g5aUMil7C9o5vn7ZqNWyvh852n6h6yoFFKWTIsmIcLgYe4O8OxXNfz22odQ53+G6fRxEJ0uI8ELwGE2YbGqeX1DnquEVSpBFEVuvygE8/pfguOsMtEx0I1x87PMvvmPtL377egHFJ2oOor5y4PzGTDZEIDtR+tGKA5Ton05WuJJiJ8xUb58bvxwMIPoJmt+ft0UWroGaO4w0j3sY7JgSiSvrD/bf0xND2FvfpOb/Ln36kz+tqHI3RbAVSb/4HC5rN3hpLi6i9gwb06UueLgTRY7Q2YbQX4aD8LqsjlxNLQPjvB3A1fb/XJPJYtyI/l4u4sU23W8gQWTIymu7kKvVTJzYhj9Q1acKieP3ZyLwyHS0DaAwykyPyeC3AnB4wlg4/DAgOmfTABp5QyabFhtDhRy6T/lmOMYxzh+eBgngP4D4HCK7DjWwNQJwSjlUnz0Snr6LcSGGWjvMdHcOcSMiaEcODX6SmVsmLe77v6M9H/5zBiefOuoh1rI4RTZsLeamDBvLp4Vy8mKDnInhBAb5k1JTZd7IJQc7UPJeaaUZquDr/ZU8dWeKpQKKT+6MoOth+tQyCSYbQ6MZjsSAaZnhDJjYigCAh3qCNQLf0aIQYbdKcEpiAxse2PUa7A1ljIhV+4eHHf3m5EIAt8db3CrTyQSgeuXpeKllfPKZwWU1fdw2dx4UmN8yStrJyspkJKabqJD9GTFG4gJ1aFTy0ddSc9M9Gfo5PYxfxNrUxmKoFgsDSPThwAITWGyf4ibNFDKJTitY8eGA8hweCR6nY/6tgECfNSU1HQh6sf2XZIoNMSEGVg8VUFzxyDldd0snRZNTnIQXx+s4djwgFuvVbBkajSJkQZ3ato3B2to6zby46smUd86wE+uyeLFT0+SFudPgI+a6GAvTpS1I5dJ8NLK6R2wsH53JWsXJuL8gQ5cB812D/LH/X+Tjc37a5ifE8mm/dUufxep5+qt6BRp6hjk6Xdd5VAGnZKbVk7AKYrUNLs8Y85MNs83h81KCiTAoPaYmDudEOQ7Ms3mDBQyCTa7g53H6lit3DfmdmLpTnLT7+Lpd44xPyeCh6+bjL9BTWP7ALtONDBrUhhByguYsUplNHeaKKnp5serJ+FwOHlzUzHNnUM8cuMUHvvrQQJ9NPzokhuRZhhBdFLZZaOrSUH10dPuMqmXb0vGfi75cw4sJXuYd8lCHDIBGKMuQpAgUXsR7C/wyKsHkQiQmRTA6vkxdPYMcay0w0PBY7baCfPXIpWAc3B0M14Ap2kAo9FKaowvu0404uet4serM/nuWD3PfXgCu0MkPc6fGRmhpMX6uU16W7uMqBQyV1R0Yy+7TjTw8HU5dPWayS/voLljiBUzY0iP82fAaONoSSsHCpu5cUUqR0va+PZwLTEheoqqxu4HOvvMF5wMLJgcyYGCZtYuSUYUweF0otPIsI5hoi+KrhK50VKSvu+QiHDTijR+9vJ+LDYHft4q5DJXymVr1xD3Xp3JruMNHDzVjFOEaenBLJ8Ry0ufnSQtzg+Dl4K5WeGkxvry+XenqWsd4LK5ceg1Cn4znKAX6q8l67ILJ/SoFHKigr2QCII7uGE0ZZlKIfVQLEmlLtPW3kELGQkBJEQY6Bu0IpGARBD43TvHRqgvbXYH7XYt5pgrCEi9zKXY81IzZhtCoNsqY9O+an5+/WRERBblRtLTZ0So2O1B/rghOsHY6wpuGAOOgR5qWvr5w3vH8fNWccOKVLYdqScsQEdqjC92h4goih4EC8DVCxPx1il56p1jtHUbMXgpWTUvgUmJ/rT3mDhd7yJef379ZApOd7jKLM95h0cF69mT5yovvWZREq+uP0VLl+dij9FsRzHssWe22rHZHXx3zJOcstmdnCh1EUIyqcC1S1I43dhHed3YSW4VdT1cPCvO/bdTBIfDydS0EPLK2/nNm0cwWezEhnlzw/JUhqw2gnw1/PmTkzy4LhuZIPLDfIuO4x/F2RKwfw5Zo9cMR8H3mwm5QJLwOMYxjv9ujBNA/wEQBMhKDGDQaENUiUxKDMRqcyCKcLSkleqmPq5dnIyXRj6qsesls+N47atCwLXy5WdQU1bbPWaq1mc7TnPH5el465TsOt7AO1+X8PPrJzN9Yii1Lf3oNQqPcqHzYbU53AkgUqkEu92JRCJw39WZlNZ086eP8rHYHCgVUhZMjmTFjGgef+MQz18XB86xI6gFYzdqpcytthBFkUdunEJHrwkBSIry5fOdp4kK8aKsvoerFybSP2R1+7AE+2l44tokVF0VSOs2IxRqeGb1PPLbZPxta42HN0tMsBdi39iD28GivXhfdAuWjx4f8ZlEpUMRk0lRfieP3jyV7UfrON3Qi9wQxFhXJyjUaA0GvHWjq3/AtQJkszspON2JPXc2FI5ecqDNWsLLW+o4Njx4BdfE4oFrs5kY509WUiAb91Zz++XpfP7daT79zrVaGeij5qaL09BrFLy1uZjTDb1cuSCB3901gz15jTS2D6JWylgxK5bUWD8cDpHoED178xq5an7CD7KzkMkkHD85dglIXlkbD183maMlrSyfEYNlWO0lwRXdLooi4QE6YkL15E4IRiqVsPNEA3Wt/QT7anE4nMyYGMKtF6cT6l/D0RKXGffKmbFkxPshGUWVoVXLyIj3p6BypApk0dQothysRS4BwT728yvazChkAiaLna8P1LDjWD2P3ZRLkK+Wmy9Ow2Z3Ig5OYKxJozJpBl8X91Jc3UV5XQ/P3jsLk8XOvJwINuyrxmx10NlnonVA5LmPSlErZUglAvddk8nH21ylGkq5FME0diw6Tgdyp4UOsxcRE2YwVLx/5HmkzMQkUfPB1pNkxPlw20WhSGsOItm7g1vDI7lh9gze2d3OoVKXejIrOZCtR+qRSwWuiZsM5UdH+WJQRk5g0Ckj1F+Ft07BbZem89JnJz1W/gurOnn4xX389o7pPPaay4NFIkB+RRt3rppIcXUXO47W8943pdywPBVvLyXNHYPEhhl48bOTlJ7jb/Ll7irWLknm2Xtmc7qhh+yUQHy9VdS19nPwVAsqhZTZWeH46VUIiKyYGcPzH41UCGlVMkIDdBwsbOGZ909gd7gSjS6dE8edl0/klS9GJ9vUShmC9PunAJJIJVgdTmQSAQkgSASsdtd1KKSucjy9Vs5jt+Sy42g9eq2Co8UuAry9x8Rv3zzCzIxQ7lk9CUEQqGropaa5j9YuI7dflo7T6VqB/+MHLpWNWikjOcqXp945m7JotjqQ6P0R5EpE20i1mjI8GZvo8v9qbB9gTmaYhw/fGUxNC/ZI+0qIMFDX3M/apUlolDIkAvQPWQjw0YAoMmiyj1p6e+sl6SPKiK+cFcH8lJlYS0eSwoqUmewsG6C+bYBPv6sgJcqX1Fg/BJsGSkZGxJ+BrbMRRXAs1tbRt9HGZvDup6XueySTSnjpgXmU1XVzqLAFuUzKrEmhhPhp2ZPfiNMpkpMShFQi4a9fFrqP0ztgwUev5LWvCj2UXBv2VnPJ7Fj8DSoignRMSwtFIZeg1yoweClp7zbipVGMIH8unROHv0HNnz7Jp3fAgiC4Sv4unhU77LnkxGi2kxTpg04t5xc3TMZLowDR1RP2DYzdr3rrlB5kFLgS0nr6XQReVLCer/ZUUd3Ux2OvHeKXN07hrWHivLFtkBA/LV5KyZg+ceP478Og0YZSLkX6TyrRPVMN0N1vGSeAxjGOcYyJH3Bhx/cHCpkrutxotmGyOiit6aKt20hXn3F40qbh7a9L+OmabI+oYz9vFfdcNYmjJa1095sJ8dcilUjYebSeulHSnc6gpWsIi9XBocIWspIDue/qTN7cVERuWjAalcyd0jEWMpMCMZrtpMX5sWJmDLFh3iyfEcOJ0ja2HKp1J+BYrA6+OVDDl7uruPXSdAasZ1b6x4Ba7yaeZk0KQxAELFYHh4ta2FfQRP+QhcNFLZjMrgSkqGA93wyXrUklApPCpCh2PIt1198wVZ/EWHoQ68YnyTQe4oaLos7eN4OKWdkRqFNnjXkqksB4jjVL8b3sIaReZ+OTlSFxyFb+gic+qiAh0oc/vHeczMRAbl6ZRptRiiZ97qjH08+8ihc31RIR5IVUMvo9WDo9msLKTkwWO0fqHKgnXzJiG0V4Ml1+GR7kD7gG4H9ZfwovrYLWLiP3XDWJP32U7zHhaO8x8fRwSWBXn5mYUD0xod78/OX9bN5fw8mKDr7aU8Vv3jhCdIieLYdqWDo9+gfvVyle4ApFXBHiT9w6lc0HanjizaM893E+NW2DOIfrg5QKGQsmR3KspI19+U3EhOr58VWZdPaZmD85ArkElDKBlTNj+fVtU3n85lympgYy1nqf1CnyoysnMSczzP2sKBVSrpgfT1SwnvyKdtITg1Amj/38SmOyOVHjmiBKJQI/uSYLqVTgUGEzd/1hJx9+W86AqEY1/5YR+8p8QrBMWMHuk66JtN3h5KNvy7l39aRhtd2wV4jZjo9exaM35XL7ZencsCKVAIOaucNpXFa7A1QXTp/S6HW0D4rYJl2JZtIikLpoRkEqR5mxmLboZbT1ixi8FNw1R4/9i19iOb4BU00Bg8c2Yfn0F9w9S8WffzILnUbOI68eZNfxBrYdqaddGYFU7z/ySyUyJNmX8/hb+fQOWnj67pl09ppGLfuw2p1s2l/NXasymJsVzgv3z8XXS83zH+VR19LP3Vdm8IsbphDi75q09w1Z2JPX6EH+nMH7W8uw2h14aRWs31XJzuMNyKQSfv+jmfzkmizauobYebyBioY+YsMM5KQEjjjGj1dn8sbGomETbBfBb7LY+WhbOS2dQ8ycFDpinwAfNSaLHcmF+t7/NEgETHaRotoealoGqGjswyrC7pPN/Pbtozz5zjH2F7XiEATkApgtdkTR9d46V1FnszvZdaKRP36Qx7Pvn2BfQRPKYbL8s+9O09Y9xBsbitzbT00L9ggNAOgZMNNvleG/5FaQeLZaqdaAz+zVDNokBPpoCPLVkJkUyIoZMchlruGVTCphweQI5mSFu8v0fL1disxJSQF4a1UMmuzUtw3gpVHw6Y4KHnhxH2ar3T2ZOwN/gwqr3TGijPiLA410xi1HPWkxgtSVKihI5SgnLqIzbjlfDBuyn6zoICbMm+c/zMOBFJlvyJg/gampEs3sdYz2zpb7RyBRKJiW5M2i3Eh+fNUkvLUK/vD+cV76rIATZe0cLnKRlF/uqeLOy9MBWDA5gi/OK4VNivKhuWPQg/w5gw17q7E7RC6ZFUd+RTu78xrp7DNzyew4F/FyHlkTHaIn1F/L6xuK3KW0ogjHStp49YtCfnVLLtcuSeYXN0xGqZAilQgYdEqKqrt44o3DPPLqARKjfEeUfp7Bwtwot/oIIMTPNeZ66p1jPPnWUT7feZobVqS6x2nvbSllybRo/LxV9A1a+HBbGaIwPuwex1kMmGxoVP+85TUvtRwBlwJoHOMYxzjGwg9xUf97B7VcSqPJSrC/FrtD5L0tpe4BXmSQF+uWphAWoKN30ML1y1KRSASXf0+fic93VlLb0sf8HNcA87kPT+DnrWb2pLAxv+9MfHVtSz+1Lf1EBntxzcIkuvpMPLQuh4LTHSjkUpKjfUaYaMplEq5d7ErwuG5pKiaLjfzydmZlhPKzl0eu4AN8d6ye5TNj2Hm8lQXxOVgqj43YRu4XRm2vK80mLsybWZPCePy1Q8jlUh6+LofOXhNVjX08fF0Oeq2SnJQgj5K4GWmBSIq/xdI70oDXWriNuWvm0jIQTXigjowEf17fUMzKLH98/SOwd3pKwwWlBmfaUl55o5Q/3D0D3eWPM9jXB4IU0UvPE+8VER7ohVwqIdRfy6ffVbByZixvf13COw+txqENwHZyC07zIFIvP/SzrubEYDAHik5jsok8tC7HvXp/BhNi/UiL9SPEX0t2chDBfhrq270IXZWDpOYIgt2MJHYKcr9w7nth5P0DV9mcRiWnpLaL8ECdO4XofGzYW8UvbpiMVCrh168f9vCoAFep4Auf5HPzyjQUcimzMsKQSwXE87aTn0kXcji/t74GdruTnOSgMSOjs5MD0ahk3PPH3W5FXVPHIEXVXayaF8+SqVE8/3GeR5pNfdsAe/Ka+NWtU9GppAyYHXz4bTknytpRKqQsmhLJjIwwBowWgn21KIZNtmUyCRKJxLXqb3dww/JUrrooCYvVjkYlp6y2i9c3FfPAtdm883UJ6VcnIRvl+ZUoNXhNvhhhbydXLkggNcaPzfurMVnsxIUZkEolLJ0Whb+/FrtXDoZ1idirjuAc7MYWMpEuWRDPflDuUVJUWNXJFfMTkAigUcmJDzeQmRRA36CFP3+Sj9XuRKuWkx7nR+6EEMKDdLz7dSlVnSJxAZHYOuo5H6q4LMpa7byyvoTIYC8eWXclhknL6O8bwOyUselUL9/tKeVn103murmh2L57fmS5iuik5+s/Y1jzNO9+U0pksBfhgTr6h6w8+2U1j61+CFXhBswVh8HpQBGWiHbO9bzwbRuXz0ugtLYbjUrGydMjU6DOoOB0J8tmxLBuaTLvbinjaHErJoudxvZBMhJcprpltd0YzTZmZ4bzi1cOjHms/QXNtHQOuUtBg3w1lNZ08/rGsyREU8cgJ8paeequWSydFsPxsjZEp8iMjFD0WqXbx+R8bDlUy0Prcth/jqJNr1Vw16oMDp5qJjnad8zz+k+CVCqh22iltdPIpn3VVDf34eetYtn0GFRKGfVtA4gi/G1DEduP1PGLG6YQE+yF/9x4uvrNzM4M48gYnmizJ4WjU8t5e3MJzZ1DXDYnzkNBolMraOwYICclCJlUQkV9D939Znac7GR5iJHgK3+GuaEU+0AXyqAYZN4B2Owi3xR1s+NYA0/eOZ2y2m6GTFaeumsGTqfL10upkJJX1sa87AiSo31Ji/Pj7c0lHCpsITxQR2SQFyIiS6fF0N5jRBAE9DoF912dybMfnHB74MWEertLSRUyCenx/ijkUiobe3n8/VIuypzETTetoLW9BytyNp/qZcf7pW4lkSi6CF2HU+TlL0t44YYFULiH0VSAignzkPqGE3TVz+nZ/QHW9joEqRxt6nR0qTNp/+xpll/+OEcb4OuDNcSHG6hvHWnOvu9kEwunRLJ4ahSCILjT0c5gZkYoXx8Y3QQeXH5BZovdbUD/6Y4Kbr44jTlZ4fh5qz22XTItmvW7RnqtgWvhq7q5n4++Lad30KWO+OWNU2jpGnIbTAPsOFrPHZdN5LWvCj3K+LKSAokM8uLTHS5FrcFLye2Xp7PrRAPT0kPYd7KJtm4jf/zgBA9fN5knXj9MfesAydG+7jL/hrYB7A4nsu8RFzuOfy0GjbZ/mv8PuPpPnUZO5wUU7uMYxzjGMU4A/SdAAJlUSu+Ahc++O+2xulffNsCzH5zg/jVZbNpX7R4EBfioWTotmivmJ+CllaNTySlv6KFv0ErfoJW1S5LRqGTugeO5uGR2nLssCKC+dYC2HiOJkQaeevsYi6dGoVHJuGR2HJNTh9h6sJYhs42J8f5cMT+B5s4B3thQQu+gBa1azpKpUcOJJ6NfnlOEIaONbSfamLrmKrTWISz1Z7115H5h6C9+gL5qOw+ty2HAaOXZD05gtTux2p385o0j/Pz6yfx52Ej1/jVZxId5k1d+diI0P92A9bu9Y95ie8UBfPTTae4cpLV7iKPFrZRUd/Gra+9B23AIR+kuRJsVVcIUbBOW8sxXdUxLD6Gwups3Nha5Jdt/uTeXxy4NQVpzCEnFUR6aP4UuaThl7U6cThGzHdSJU/GJTXX9sEotTrU3f3v2MDKpQFiAzu1v0No1xIDRSkyoN+09Rp5+5xhXLUzkZHkHK2bG8vQHRShkEq5dOou0WD8OF7UwQcqYccHgUl0E+WgorLqAiWxjL82dQ6gVMnrGMBzuG7Si1ymw251cuSDBtSJ6JuJcEDDaHOw70Uhr5xCZSQGkRPt9b9PCvNRyFuVGse2Ip9GrRiXj+uWp/PnTk6OWU67fVcmsSWGU1Y5Ue3T3m9l/spnZmWH89M/73L+Zxebg812VHC9r57K58bz4WQFP3jEd5/AqdUlNN1EheqZOCEYtcaKWglotQyYTGDDZuHhW7HAyn5zd5YNkzPkxmvqDrufXbkMem4OYvhyjwsDCXA1Op8jhohaKq7uYlBhAZlIAS6ZF8c3BGvLKO7hiXjx78pu55eJllNR188XW07T3lI68RxoF/UYLWomdF26Mw1q2H2nPUazaLB69JonGQVfKWV55B4VVnczODOPuKzN4e1s5v77mR8h3vojtHKJKEZqEMfMaXnzH9V1alRyTQ0KHUUXHkOhhkNzdbybDT8Q6him70zSIYB3i2ZtT0fZWIWs7gCM0CMeCyXx+uB2dejbX3HwNdruDtgEnf9laT2VDPxdNi6W6qY+61n5XCcgY0KnlqBUyPvi2HKVcyr2rM4eNXZ3Utfbz3LBJb3igjpyUIIyjeI6dwYDRZfB7BounRo0w+QWw2UV+/cZh7l09CYvVzvycSAIMSiobx1Z2WmwOtGoZv7p1KlWNfYT4axGANzYWsWRqNFLJ96NtOoGa5n53fw8u76U3NxUzLzuCi2fF/T/23jo+jvPu+v7OLKNWzGCxZMsWWWbm2GGwHYaGGmybNGmbQqBN2jRNmyYpJA5z7ICDZmbLlkG22GLGXa2WZ94/1l57Izl97udunzdtdT4f/aOZuWZ28LrO9TvnBCK969ttHKvtpjAriuc+OEht8wB3XzmB3DFhQaQs+L+Z49MjeOy0tw/4JaAKUQgM9JNiTJSMjWZHWStuj4/rluQgyTLr9tQzKz+fofYTqPo7QZZwtJ1CMiXx8WEnk/JT0KgUvPnlSSJD9cwqTORIdTcKhUBeWjhKUSQrKYyaZit1LX4ZWm1zPz+5YSJdfQ6qmvoINWmQJJnbLsnjk2217DjcQkVDH/ct96dVdfc7yEuL4EhNF1fNTGB2ps7/HXIP4skrolNI5m/rmujw6Ln/1ZEnCc6991xuH58csnHpgjtxbXkZ2Xvaq0ehJOLiH+LVGvEcW4fHPUTYgptQaA14rd3YT+ymffVvwedF0XacnUfDmJoXx9odI5uQg5/EuWR2GsII1UQalWLEfsoZDDo8TMqNJjJUR3VTPydO+b/J9y7PJzHaL789dTr1yGLUnDdBEaC+zUpMhJ7+QRdtPXZ+/dp+Vi7MClpn19FWPD6Jn91UQs+AE5fHR1K0CZ1GSWv3IMvnZxIdrkerVvL3j4+hVIpMG3+28s7p9lHZ2EdmUiinWgcYcnrIz4zkjS9PEGnRfWsR9Cj++2AbcqNT/3PNms169TDz+1GMYhSjOBejBNB3AE63j46eIcJCtNSflm6FGNVoVAp6Bpz4JJm/fXSUp++dyd8+PsaR6i66+hy89XUFswriKcyO4ud/28NdV4znye9P45NttWzY758Z/cuao4H0ML1WyZXzMmnssAVSikJNGpRKkf3l7RRnR/ODlYX02VzIskxNUz8FWZHoNOlo1Qo8Xol95e18uOls1LDd4WHNlhoKs4fLFc6FDEzJi+WRN07ym1tuwzTViWugC0Fnpr5fRNmjoLyuncRoMya9mgUlyWwpbcJqdweiXM909F748AjP/mAWMnD4dBKQUhSQRzKzPA2f20lNZz+zCxN4/sMjgL9j+eCq4xRmjmFBSQEqpYjObOaFD0+QmhDKBVNTeHddZYD8ufuidNQV67AfWHs2Xej4NiwxaRTN/D76pWkoTm6gf89HQftWRY/h6VvupcutoX/QxdoddRyv7SE6TI9WreDjbbUBgmD7oRbuuGw8Lo+XqFAdOSlhSJLMj/7kJ7fSEyz+eOkRSCBRFNBrlFjt7m+d7Q8za9FplERYdFy3JIcdZS2B++5caFUKTBYdb6+vABkumpFKhFlLRWMfv3+7NDCI2na4hVCThl/fMRWdUvi38zcQZZmr5qZTkhvNJ9trsdndFGZHsbAkGQR52EDyXByv6yE63BCU+nUGXknivQ2VI16r+jYrHq/ftLaj10/+2c8Mgg638M66Cn5xy2SSIvwkjtcrUZQVRXvvEO+sq+Seq/J588uTvGl3Be5fpVJkf42NrS+dYMVCH9sPt9DQbqU4O5qHrp+Ix+ujf9DFp9vrOHK64kWjUdLR6+DBP+/g0dum0DmCDApgTnEiZpVESGcp1s/eObugfDvh4fFELn6Au144FBhIbz7YRHFOFCsXZvGztyt48LK7SQsX6O3oBL2F8nYvq14/GagGmF2UwJOvH8Du8HD1Ir9E4/dv+UngT7fXMuOaJM5HaYp6M1q1As26x3APWQlYzh74mBWL7+Pv+70ca5c5WNHFnMIEuvudZCWHcqymG9uQmwGbh0ljY9h8sGnE9hdOSuaF1UcC5Pv6fQ3Mm5jIkiljeOC5s6TznKJEjlZ3MWlcDGFmLdFhBnqtTraUNtFzejZ28rhYSk9L6AQBJFk+r9/a4JCbMLOWMXEhdPQOEWbWEmbWnucsnN7G4cFqd3OstouEKCMvrPa/64pzoxH+TaQnTo/EW19VjLhsS2kTv/zeZD7bURt4/2w80HQ6ZtvvN/XSJ8f5/hUTmJoXx46yFtxeH8U50eSkhPHnD8uCJipMOhXTJsSx/XALKxZkUt3UHzhnAFsPNZORaOGOy8bz5LuHUIgKLiqZT6hByalOJ5990Ea/zYXWYGBqXhyrT1efbNjfQHykEVEQeOPLk9y/ogC3x8eOshYeuLaI1z4r557lBfzpvcNBA7W1O+q496oCFk3233M9A06efP0AYWYtZoOar/bU8+T3ChGrNuP+aPXZ71D5diIjEnn82gc41TdEUXbUiJViy6ansu3QWYnb1wfb6bWFc+c1v8Pd14nP50MMiUF2tNL/5o/9ZtCA9cAXKAwhRF54D0OnjpytxPO68flkFArhvJ6D4P/++7wSRr2GOy7L4/OdpwITXTXNA4xLC2f30bYRt50+IY6mdhu1zQMUZkVx68V57DraSu+AE4fTy/0rCnl/QxW7j7Xi8fnQaZTDqozOIMysxWY/S9C2ddvRqpUB4+4z2F/ezv7ydi6dmUZ+diRf761n99E2zAY1YWYt/TZXoMK2IDMyYOR7Bs0dNqJCdcRFGNh2qJlIi44ZE+LJSLSgVfp9E0cxCvDHwBv+iRIw8CcdjlYAjWIUo/g2jBJA3wFIMrT32jHqVeSlRXDRzFT6bS4cLi8JUUYqG/r4cHM1doeHG5fm0GdLxe2RUCoFDp7o4Nl3DyNJMs9/eITHbpvCFXMzKK3s5MCJDh68toieASchRjW2ITef7TjFocpOJuZEs3hKCt39DtxeH6lxIQzYXTzx6j60aiUut48fXVNIiFHDqr/vxSfJ/PTGkiC/hHNR1zJASqx5RCIhLT6E5s5BJubGUN3Uz1PvVXDHZeN5ek0VTnc3kiTzu3tmUDI2lq/31NPeM0RitIm7rpjA/hMdbDrQSP+gi2WT4ogLiUeWYN/RRiZPSOKzHXV09TvYX2tjSVox7qq9Ix6fN7mEygNdzCtOCuocyjKUVnZTWukfXl53QQ53XZXPriNtfL2njruWJtM9NYKWfi9TkpV0vbl2WNue9lpMrfuZO3YKbS9/NHx5xylCGnexvi8XrywgnjYYcLi8zM+PIC8pEY9PYuPRPpq7ndQ099Nvc/HITZOwDbl55G+7A21tOtjE8vmZvPHl8CqNxVNSTptvCszIj2f1pqoRq7Iun5NOVWMff1lzFJNexdziRMwGDS+sLgvIwbRqBSqVghfXHKG8zk+A7DzSyh/um8kf3j00rN0+m4u/f3Kce64cj/DvxgDhJ4HSY038cHk+PklGpRCRfBKO83OKgN9f53xVT2nxIXy56xQKUWDSuBim5MWiVPgHqhv2N1BW3cUlM9N56dPjZ8mf0/D6ZH775kH+cO8MVKdnjLVKEa3a/8o2aFWBAci59+8ZdJ5O16lvgwMnO+izubjpwlxCTdoA+QOw6tPj3L/SX11Y19zP1QuzeGd9sBwuLy2C5Bgj8XoPXbve4Zvw9LSgPvY108aNZ/vRsxLMgyc7mZmfwOO3T2HboRbq+lS09ej5enfwfTmzIB5Jkmnv8c/c/+3jY/xwZSF//MEseqxOf9KVyouoNSA5hxNt5qIl9KxbhTT0jXePLOHa8AIP3/w0dklBczOEmXVMnxBPZWMvgiBwtKabi2emcbSmi+ULMnl/Q1VQEwVZfrPmM+TPGWw60ERJbgxmgzqQcmQxaWhss7Jk6hje31DFjrJWYsL13HBBLg3tVvaVtyNJEgVZUdS1DFDfZh2xIgL8Xi93X5HPziOt7ChrQRAE5hYnMrMgnshQ3Yh+RfmZkZw81YsoCtjsHjYeaOTS2WkUZUejU4vI8r/HoNPl8X3r7HVbtx2L6Wy8uygK1LWevfYuj49n3z1EUrSJkrExzC6MZ+/xdh5btS+onWXTx2DUqbh2UTYtXYMkx5p5b8PBYfurburH4/HR1e/A5fbx57XDZU5dfQ7Ec/g1WSaokvdodRexEX4/LKUoMj0/nk+21Qz7nbIMz39YxjP3zQx8J8BfBddrdaJUiOi8A9j2rR52DN7uJvSVmzAmL2bxlBRCzVq2HWrG45Uw6lRcMjsNjUrB6s3BRMuRU/3U9Kfx+7fbEAT4zfWhuNf+MUD+nIHPPkD/rjWYCxbQv2sNAPq0Ar4fpybMoGBGeh4+n0SPXWJjWSebDnXg8vgYnxHBpbPS+GhLDRUNfVhMGpZNG4MM/P2TY2w73MzPbiyh9GRnwD8Q/BHyV87LwOOTMBnUXDI7jbqWAXYcaaEoO4oPNlbx5e56YiMMXDY7nWsWZ2G1u1kyJWWYzxD4JXNxkYbAhNgZ2J0etOqRq5DCLFqiQ/UsnTaG3UfbsNrdw1LNFkxK5u/nmFoDxEYY6OpzMKswgd+8th+NSsFTd01Hr1Xi9Z6/gncU/32wOdxEhHw7sf8/RYhBTU3r+atFRzGKUYxilAD6DkApCjS0WpldmMC8iYn8/q3SQEdIIQosX5DJr++YSqhZS++AI6gjm50SyuzCBKx2N2VVnQw5vWw+2BRIIalq7OPuqybg9kh09A5xqLKTWQXxZKWE8eTr+4P8XxaUJPG9i/ICiWK2IQ+7jrQyuzAhEMd+vqjhNVtqeOy2Kfz61f1BJdix4QbuuSofnyTR1efghqW5uL0+QgzqgJxlSl4sJ0/18OrnZ2VhvVYnR6q7uOOy8SBLrCwxM7jzPZzbS0EUmZI1DYtwBT+8upCv9zawuayDC264FKH+CLI7eHCkSc6jdlCP1e7G4fISatKcV/oUEaLj2XcO88BlaYQ0H8Hx3nPoXEMUTr4Yx7Hhg88zGDqyAV18+nmXD5Zt4NLls3ni/SrmFSciyD7unBeJfOB93GXH0avUrMiZhXbeUp77vJHDVV1sO9zMz2+eFNTO/vJ2Fk5K4u4r81mzuZq2HjsRFi1Lp6WiVops2N/IfSsK2HuslTsvn8DfPzkWNDM7d2IiSoUYqOLqtTp59fMTFGVHce2SHF47fQ2uXpRNTXN/UDJFUoyJutaBYZ5BZ1BW3YXLI6FV/HvWuJ8hchQQiLzXqESykkKpbBweDSwIfu+mv32j838GIUYN4RYdt1w4ln3l7bzw4RGcbh/j0sK5b3kBjR1W9FrliL4Z4K+u67W5iDZrABAFMBnUiAJ0DziIjzQOG8ycQXKsOVAdB37Zn88nU9cRnMrVZ3Px1OsHmD8xiYhQPUU5JsalhXOosguP18fE3BgMWiUGrRJX+RfnPXeek1tZsGBWEAEE8OWeU9x68TjWbq/F45O4fE4GP72phOO1PUiSzISMSHRaBY/8ZXfQdu9uqOTuKydg0KnYUdaCNc5M3rxb6P/iuWH71o6ZQP+O90c8Ltnrxt1SgdLjYklyCIK7gxl5Uewoa2HZtFR/Qtr+RkrGRhMeoiMrKZTjdT24PT5KcmPo6ncESZHOxdZDzRRlR7Ol1F855PVKJMWY+OmLZz2Aeq1OTpzq5foLcrhveQGPv7LP76O2OJvn3i9DluVhUl1BgLuuyOf51WV0958lCN5dX8nJUz387MYSHlu1L4g8SI4xccmsNH735kFuv3Q86/Y2oFSITMmLY8jhobFjkOzkfw8PIOU/SMPRqBV4zhlEL5qUHCRpPoPGDn/ylVGvYm5hAgVZkewr7/ATsmNjMGqViLKMQhD4xc2TeH0EUv0MKhr7GBNrpuI8EeFpCSGEGNRBcrJzsa+8nQevLQZgyOUhLy0iIGP7JnySTHVTHwsnJfH2umAyNjc1DHfV7hG3A7CVbcQZOomn3qti+oQ4fnR1ETqtgqhQfyVhV7+D+5YXsG5fPRX1feg0Su5dns/qzdW4PD4sRg2h3m6svpFljM6mk4RMuggAffZkBK+L8L4qBtZ9jre/A2VIJJHFF3BNXiRLC3J4YV0rF89M4+EXdga+G71WJ3/9+BjzJiby4LVFdPU5UCoFfn7LJNZsqaasqov8jAgumJrK7948GFQhd/ncdOIjjfzsnPdFr9VJeV0Pt148jsYOK/mZUeRnRlJ2zvtPp1Fyz1X5fDSCP1BCpHHEiiGNSkFitImalgGsg25WLMjkg41nyWtRgOULskiNMxMXaQgQ8qrTkrBTrVaeebsUj1fC45Xo6LWTEG1Cdd6rN4r/RgwOedD9kyuAzAY1fTYXkiQjnid0ZBSjGMV/N0YJoO8AFAJcPCsNr0/izx+UBTqQU/JiWTgpmQMnO/hoSw1ZKaFMHhvLoslJLJ6Sglqp5MDJdspPy4l+dtMkzAYVg6ej4semhnPJrDSeefsQeq2S65fkkJFoYVZhAo+/sm+YVGfD/kZuvXgcSdEmrENuLEYNL31yjAevLcbu8qD4loF9v81Fn9XJ/SsKkGVo7R7EpFf7o9lf3scPry7ko601aFRKZFlGVAhcszCL6fnxuD0+Hnp+ZAPp9zZU8OIdeXS/+fBZYscn4Tqxje6mY2gXPowoCDxwTRGCWU/EdU9iP7wOV/U+RLUOfcESNOlFlK5vQqdRYrMO8sjVuWwq62BLWWdQxy8mXI8sy1w/Nx7TgVdwtdcgnE4l8g2c3yQWQHI5EAQFglJ91kvhG8t7BxzkpYVj0qu4d1EMgx/+PFBKL3tcuI+uR24p59JJd3O4qoueASc7j7SQnxnJ4cqz+3/+wyP8cGUhV87LYEx8CJIk09xlQ6NUsnT6GNRKkbfXVVKQFclD1xfTO+CfOR4TZ6aqsY/nPywbdnylFZ0smpxMYVYUCycnE2nR4XZ7eb9jEEGAaxfnkBJnHlHqdC58kuy/of9DoBTgzsvG85O/7Bo2SLjhghx0GgUTc6M5cCKY+IiNMBAXoeeeKyfw4uqjNHacJXmO1/ZQUd/Lk3dNp986MhF5Bi63D+G095JXhgMn2pmeH8+6vQ1cMistSK5yBqEmDaEm7TAvjF6rE5Nh+PDD4/Wx8UAjX+yq4yc3lNDUaeWCqSnsKGvh6bcOMjDoZmpeLDfHnP/ayx43apWIUiEEEYQOp5fG9kGuX5rLy58e5+DJDowKN2kRWirbXfgkmRdXHw2qCEqMNvkH6Do1L316jOO1PUwaG4MvJ47cy36BdOhjPH3tqCKS0RZegKz49iGV5HIwsP9z9OlFIB8nfPwCfnh1IX1WJ3OKEthS2kxWsoWdZa0cquwkPdGCSiESH2nkoy01QWbt58Lh8hJyTkqT2aA+bwz7u+srSb7BHKgeMGj9x/zFrlPccuFYnl99JPA+Hp8eydGariDy5wzKqrvp7Bvye4j12ukZcBITZmDA7uKZt0sDqVFWu5tFk5NxuLzUtfaTHBsSVKHyXYZOrSA7KZSKEUhXjUqBSa/Gdvobl50cRnZy6HmvkX+dUARZIlSn4sIpyf5nyevjzAmXZRlRlhlynt+7acvBJm6+aCy//PvwClODTkVqfAiCAAsnJ/PV6WTKc5Eab0GtUhAbbmDj/kZuWJr7rVLZgUE3Y1PDiQ03YHd6mJsfRYRRgazSIdpHvscAZLcTjdIfprDtcAsHT3bwo2uKeOurCvYeb8MnyYSaNFy9KJtbLhqHTq1kw/4GMhItzC9JIjnGiNw7cpVvAKJI+JI7UIZGMVRXxsDus1Wv3oEueje9TkjJhei8x3jkymX8/O2KEScNNh1oYnZhAu9vqOLVz09g0quYNzGJZdNTiQ03cO8zW4dd1/R4y4jfL4A3vjzJU3dN48E/72TlwiyuXpRNRX0vYWYt4SFaXvv8xDAiPy89nBCDmivnZfLRlurAcYaaNNxx2Xje31BFzWmvpp4BB39+YA61zQNIssyYuBBOtQ7ws7/u5pGbJvHW1yepbR7grisn8M66Cvaf803ITAqlrsWKWqUgKdKAb1QCNgr8huwOtw/9P9EEGvzfIkmS6R90/UPZ8ChGMYr/TowSQN8BuCWZ/kEn1U39AfJnfHoExTnRPH6OYeWBkx1sO9QS6Iw89fruIOnIl7tP8YOVhVw4I5XCrCiyUkJ56PmdeLwSKxZm8cpn5dx2SR7HarpQiMKInbJ1+xq4eGYaqQkh/PaNA3h9Mk+/VcoPVhYQG2EgLT6E2paBYdtFhuowGzR09Npxur2carVS0dDL3Vfk88A1RQw5PVw6Ox2vT2LN5hrq26wcrfabd14xN+O8/gH5aWE4Dn85rKoHwGfrJaS/AkGOQUCmq7UVSeVEnTgBy/j5tFsl+pQmXn2jnLsvzeG6SUZchz5DqmvmkvBELr5hCWtKrawv7SAvLYIr5mXwt4+P8qvL4zFZloAgInucKAwWHM2VqMxh2E8On301ZE/GXLwUyeMiYumdiCoN1tKvcZw621FXj8lny4k+MtNiaGzqJLPqq+GJRvjlNBG+dqLD9HT0DrHnWDtzixODCKB+m4tth5sZOyacx17ei9vjw6hXE2JUs2JBFg3tVswGNYcruzhc2YXFpCFnTBgZSaH85aORq1UAKhr6mDQuhr99dBTbkIff3zeTwSE3Vy/KprnTxrvrK/jpjSXn3T4mXI9WpWCkRJl/V0iSjEWv5A/3zWRzaRPHarsJN+tO+yFpECSZ2y4ex8KSJL7YXY/b42N2YQL5GZEoZP/s3rnkzxl4fTLvfF3BVQsyMelVgQHtuRAFf0rUmYGiT5L5ZGsNt182HpVSQXuPnZsvHMuHm6oC22clhbJyURZ/WTN8kBhh0WExaQIeGQlRRq6Ym4FWrWTI5SEm3EC/zYVKqeDPH5YF3XPH63pwF0wAvhzxPGlT8gg1yvz5hmQ6XBpWbWyhqWOQ/Mwotpc1Ex1m4PUHS/A2Hcdz/D3kFi/jx85kUB8SIKzVSpHvXzGBwSEPO8paKK3oYNLYGC6bnc7Xe+pp6ffiw8SMxbcjDfYiuxwozCGIai0KcwQ+68guQerweHy2XmyHNxBz1cP07niPUv0STvV4uGRmGjML4mnuHESSZXySTOXpKg+LSUN+ZiQb9g9PMAOYkR/HxnOWiaIwTB5yBh6vhMPlRakQ8fokNGoFWcmhpCWEkJ5g4am7pvP1nnpau+0snpLMO+tGTqUDfzT2pbPS6LU62VraRFvPEC63j7y0CFYszOStryow6pSMTQ3nydf288C1RX6i6t/ksRRlmbuvnMBP/7o76HyKosAPVhZwrKaLvLQIFk1OJivJgloUuHnZWH7z+nDj4/SEEMLN2kA0vMczgneaQsDlk5g2wS8VGwnJsWY6ex3ctzyf1784Gaj2GBNn5p6r8gnRq/FIEkunjUEUBNbva8DjlRBFgSnjYpldlMCHGyt56PpiXv28HK9PJi7CQOt5CPWi7GgcLg9P3VaA0N+G4+Cn+Oq70aaMR589CceRjSNup0vNR2XWMi4tnH6bi4tmpPLmVycDJsngr/p7YfUR7ltRwLjUMOYXxqHy2hDtvYj2HsyJ6fiyJjFUuW9Y+0pzJIrQOP9Eh9uJNi4d1QV30L/rI7wDZz2HBkq/IvqyB3DU7EerDh/xWIFAohn4K44/2VZLpEVHd59jRFJPFIVhctkzcHl82BweblqWy7vrKzla3cWMgnhe/vQYNy4bS2p8CHWtA/7rIsCU8XHMLUrkB3/czqO3TSYvLYLBITdKpYjd4eGddRU0nK7ObOkcZPGUFN5ZV0m/zcHAoIdTbQNMGhvLHZeN5/kPy3jwumIcLi8vfFhGTfPZPpIgwGWz03l57TFMBhUJkcbzno9R/Hdh8HRgwD8zBQwITEx0DzhHCaBRjGIUI2KUAPoOwOWR2HWkjRDj2dnkZdNTeead0mFeK8vnZ1JW1cmmA03DOkKyDM9/UMaTd02ntXuQqqb+ALESG65n3JIcqpv6QBD4yQ0lVDb2DfOJ6R1wkp4YwoebqgOeHF6fxNNvlXL53AzuX1HAr17eGzA1Bb/h3EPXFaNWicSd7tz0Wl3cedl4Pt9Zx+bSpsAgNsSo5q4r/CXnVY19lFV1ctmc80unpmeH4Nx3+LzLPTX7uWHJ/bi7mnBueTZgAjuIgGn8fAbi5nL1wkx0PZVYv36OM6MgT1cTVOzh+kt+yOXzZ1PROMAzb5cyPS8as+Cga91LSI7T8hpBxDRhLuqMYlSRif5tTyNk0oWIGgNt7z4aIHQElYawudeh0IcwWL4DQamGgkvZ8EY1GakxZMfpcG44Bgjo0gsw5k5HUKrwDVmxHd6IoqmUtPhpdPQOoVKKWEzDE4q2lDYzpyiB7108DoUoolAItHYN8pc1R7l6UXZQLHu/zcWeo20sn595XonC2XabAvK4j7dUM6cogYRIYyAmt6Khj6l5sew+FuwjIQhw+yV5qBUCvvNIxP5dIUkyGhGWTU5mcUkSClFAlqTAoFIhy2TEmbnvivFIgEoU8HolFArxvANKgKM13dxy8ThuuWhcUOrVGSybnopaJcLpa6kQBWIjjPzhnUPMKU4kKzkMg1bJE3dMxeOVcHskeq1O/vju4cAA9QzCQ7REWLRsLm3mvuUFrN5cxdWLsnn+wyNBUqIZ+XFcPjeDVWvLEQUoyYnkgsIw9CoBY7gRe3wm7pZvyG0USkJKltL18ZNIQ1YijBYeufiHvLC5l8njYli7o5bf3BDF0NfPBW3rbj+F0hLNz1f8iB+9fJxbL8ljw/5G6loGWFwcw+QME4IAdR3dXDQjDa0K4mmn/bVHkZznPJsFC4i+/EFaX31o2Dk0jp2Bo+F4wM/E57TjaT7J2PlX8P52f6R7SqyJX9wyCZNeHWScu/d4G7+4ZTK7j7Vh/0ayV0y4nsykMKJC9Xy4uZqj1d0IwrdXvilFEUmWCTH6pUI5KWE0tFv543uHWbkwk4LMKLKSPLg9PpTfUkWnUoocqurCpFfx8PUT/eSf4L8/jtV0MzUvlgmXj2dHWQudfQ6+2l3P9Rfk4Ps38eaSZRmTVsHT90zneF0vR6r9htbTxsdh0CjITAgBBBSCjM/n/0uLM/PTGyfyymfltPf435vzihO5fE46SuTzcl+iQqCj38WvX9vPbZfmkRBlDPLuAf/gbP7EJE61WRGBmy4ci0alQBQFOnvtOFxeHC4vv3l1Pw6Xl1mFfmmTVqNEp1Gy5WATPQMO8rOieHH1EQqzo1ApBW6/dDy/ennPsEqgqXmxSLJMlEkJNTvp2/RaYJmnqxFNVBLq2HTcbcFyJkGhImTiEno3/5lfXHI7Qx0taGIVtLYZgwigM3jrq5P89vaJqNuO4Nr6MrLH/86wK5SEzVqJKiSSgf2fB20TtvAmbKVfYjv4VeB/ypAoIpbcRvfXL+HtP1314vMi+zy4qvczLvEKys9jpK9UiEHfI4tRw5S8WD4/Tyz8P3rGBCAmTM8D1xbhcHmJCtVz3ZJc3llXQc6YcH58bTEajQKzXs2mg4389o0DuL0ST7y6n5uWjeVP7w33twNwe3x09zuYkBFBe4+dqDA9GpWCt76uYP3eBvIzI+mzOjlU1cGKhVk8+doBfJJMUrSJq+ZnsvNoC939TpJizHi8vtGO9ygAAhM3/+wKoBCDXzbe1e8gM9HyT217FKMYxX8GRr9D3wGIgoBGpSA7JYyv9jQEZui/mR5kMWrweCUiLPoRq3AA3F6J+jYrEaE6Dlf5Z6cXTkqmz+riT+8dDurcTJ8Qxx2XjefFc6oFMhIttHbb2XmkdVjbazZXM25MGL+5cxqt3XZqW/qJtOgw6FR4vRJHGrvJTLLg9cnoNEoOVnSy6RvJOgODbv7wTikPXlvM46/sQ5L9A2yDVjnizF54qAFRa4CRfy6C1oBOdjKw9qlAB9YPGefRDaRGxKNOnkzv6y8zfApcpu+rv+BY8kvS4iN5/PapxKjtdKz6IfK5HgiyhK1sI+rIRCIW3sJQbRm2o5sRVRo0iTl0rv7d6YMR0acVoLRE4aw/jjF/Lj5JRspbyh+/bKUgM5rSik5KxmgQdSbC512Pq7WGnnUvI7mGUIZEETLlYtCace7yX/tZhfHkZ0Zy7ZJsvtpdj9XuJndMGJfOTueTbXUcPBksPVIrRYx61bBzqVErcDi9TB4Xy66jw68twNgx4aw9x5eiqqmfaxZls//EWRJj9eZq7r5yAmkJFtbva6BnwElmkoXrL8ghKkQbRDz9p8HnkxAAaQSC64x/kAB4pTPSEj/haTaomZgbg0atoLapPyBDMOhUaJQiuSlh/PDqQtZur6O+zUp0mJ4lU1NOR7i3MyMvBq9XQinANYuz+cXf97Bxf2NQ9ckD1xTx6ufl3HHZeBKijEEEUKRFx89uKuFQRScfbKgiKzmUe5cX8NMXdwVmIM/gWE0PhVnRKBUiv7omh4j2Pbg3/QXZNcRgZBLhF92HrWIfzrL1SE472pQ8QoqX0L/nk4AJs2+wH/mzp/jxdb9lz6lBnvr+dBIdJ+n6JnEEePs7MLQdZMaEFBQKgZ4BB7+/KQvl4TU4PzsIskR+Yi6mjBsRVRq6Xv318Gfz0DrUEQnE3vAbeje+jru9DoUpDHPBAkStAduRzZiLFiN73YhaA6Jai8PtQ6NWcMuFY9GqlbT1DCEKAhmJloDhs9cn8/La4/zkhols3N/InuNtqBQiswoTmFucyM//thtJkplfksTSqWOItGiJCtWNmKRm0Pqlr7Isc/0Fubz1VUXgPpg3MZGW7iEKs6K4/9mtpMaFMH9iEi+dx3B/2vg4PtxUxeIpKew+1sa41HC2HGzmqz31gXXOyDYvmZXG5zvrWLEgC4vx30ea6fPJqIDijAgmZUchyzIejw8pUCkqc+7XUZBlsuJDeOzWyXi8/lQqrdJv5H7maVUoBKQzttuyjCTJOL0yv3hpDy63j79/fIz7VxRQWtHJjrIWXG4fRTlRXDUvk/c3VjE+PWJEvy+lQuCRmyYx5PIiy34S/Ywv1B2XjSfMrKWqsT+QMlfV1M97G6pYNn0Mv7lzGm99XUFVoz8GfsEkv/x299EWLsgz0b/5jWH769nwir+6prmKwcPrkFwOdCl5mIsX07/rI9ztdXR9/AcsUy+lc9UPWDTxMiwLxvLahoagdgYdHgzefjo3vEjQt9HnpXfzm8Ss+BmOppN4OhtRx6RimX01voFO8LgwFy3G1VaDq7UG70AnXV+8SNjsa+j67M9nr4lCiag1EBKiG/Ean/FQW7OlGp1GyYz8OBZNTuG5Dw4zIz9hxG3sDg9hZu2IJuFmg5r+QRdqpYInXt4bINYyEi1cOS8Tk16N2+vD45N4+ZPjQZWZ/TYXJr1qRPLHYtJQnBvDE6/so6vfEfT/+1cU8OLqIyyZmsKQ08vUvHh6B5w8ettkDDo15XU9vLOugtZuO7ERBsLNWr8U81smYUbx34PB0+lx/+wKIJVSxKBVBk3UjmIUoxjFuRglgL4D0GkVFGZFER6qIzxEi8vtCzK5PIMIi46WrkHSEyzf2p7b48Ph9BFq0tLZO0TJ2GieeGX/sPV2HmklKzmU5BgTDe02RAFWLsrm3XUjR/AatEqiwg388b1D3H1FPpsONPL1nnq6+5389MYSOnrslFV1snJhFlq1gvc2nCIhysj0/Hh0agW1LQPsPtqG0+2jpWuQhCgjgiAQE67nvhUFPPXGwaBEJZVSRKE3I45bBB1/HfGYVAUX4mo8/g3y5yzs+z/BmJY/YnoQgOQawqJ0se14O/uOt/PjiQPBA8xzYC1dR/iiWxCNIUQsvg11ZCLd61cBoE0eh2XKJQxVH8Dd2YgqNBpRpSVk0oW8urOfrgEXd11VwAcbq9lfO8TNi29nsGw9Q9VnU2e8A530fP0SYYtvR5b1ZCRaiAkzYHd4SIs38+s7piLJIAgyHq/MgpIkLpiawolTvXy2ow6318fNF40b0YNidmECX+2uZ+HkZE7W9w7rQF84I5Uj1V1BssBQk4aMRAt7jp0ljCRJ5rn3y8hItHDxrDQsRg0Woxqvz2+m6vt30Zn8EyEIApLgl2gpRRFBlpBlv9xkfkkSKXFmdh1ppbPXS1FOFFfOz+BvHx9jbnEiOpXInhOdfLipikVTUrhqfgZdfQ7W72ugod1GqElDcU402tOVVfHheu6+YgKrPisPeBJFWnSMiTVz//J8WrrtXDkvg8vnpNPZ58BsVKNTKzHqVCAI3HzhWJo6rFTW9w4jfwAcbi9qlcjNC5MJO/EBrrrSwDJPVyPtqx7AfMlDWOc9TEK4BunkNjo//eOw50tyDWFrrOaDjS5+dU0Og0e3nPf8SZU7ueuKmWw5YeXhy1Jh3dN4JB+CqED2SbiaTiBsfhV95sTzPpsD+z8ndPbVRCy5DW9fB15rN0OnjmAumI8+owhH/XFEjR4BgdAL7mLVpl7uX1HAl7tPkZ0cRmSojhCT5rTEqId1pyU8k8bGEBGiJS89gsnjYlAoRBKijNzz+y2BZ+WMsWxClJHvXZzH028dDJK0iqLAbZfmUdPSzyM3TWLroeYA+aNSiswsSODxVftIjjEhy1DbMsD3r5gQREadwYSMSADsTi9Tx8chIFPdPBBE/oCffHzzq5M8dtsU1u9rQJLlb/Wc+a5AoRDxSDKSLJ+uJpT+j0lln09CCSiVfqLrjJG7IIAXgRP1/Ww80IgoCCyanExafAjlNd2BiRar3c0Tr+yjKCeaG5bmotMoMBs0bNjfyEUzUkeUVYKfKDxS083Y1HDqWgaYWZBAfKQBh8vLwZNtLF+QzVtfD/+mfr7zFD5J4vuXj6fX6qS730lDu5Xs5FDGpobjaywblsQFfp+f9vd+Tfydz6MyhyEo1bhaq+n4+Flk1+mq3f4OFDoTgkKF+8BHlFyYzUcGNU6Xl9kTosmJ12IJMWIv/QJRZ0RQKPANDnAuETSw73PCZl2Nz2FF1OhRGkORBvvwOQaRXEPoM4qxTLuC7nUv++WXooig0SO7hlCaI/HZB9AWXkCaKgqzoX6YPPLmC8eiUYk8fc9MvD6J47XdPPT8Trw+ifklyQEZ9Ln4dHst968o4LFV+4IkYgpR4PZL87Da3aTFG4Lu9eqm/qDnaPn8zBGNcdUqxYjXd8WCLJ57/3AQ+QN+0uhvHx3j8tMSdqNexeYDjUzOi8Xh9NJnG6RnwEFrt52MRAs3LcsFATRKEY97NAlsFGALSMBGvvf+NwgxqukaGD4ZMYpRjGIUMEoAfSegFEXGpkdQerKDe5cXsGZzNeEhOkQheKKoz+YkKlSH3ekh0qIb1iEBf2c3JtzA6k3VXHdBDgadkn3fIkPZsL+R2YUJrN/XwK0X5yFJEjcuy+XUS3tRKUQum5NOZlIoogAqlYK65n5+sLKQ5s7BoCohSZIpzo3hqdcP0NI1iFaj5NrFObg9PjaXNjE45GFsaji/uGUSb3x5kl6rk3uuykcUBN744iQen8SvvjeZAyfbaeoYJDHaRFF2FNsONTMzOwtVahGecwajAKrxi3DpIqBu5Oh38FcjCMK3j3wkSSbSouPKeRmITcNj3hWmMEJnLkfU6PENWdFEJCBqjTgaT+Dt60AVmYi5cBHtHz4VkIE5G8uxHd1K5IX3sHJmBkVj4/ntGwfJHRPGmNgQ1GaR7urhkcMA/dve4aFrf43LJ+DwgM0tYRvyIst24qOMvPTJcQ6ePCtVKcqK4vHbpyAjY7N7OFTZGdReSqyZSWNj+PWr+znZ0MsD1xRR3dxPWWUnZoOayXmx1LUMBJLBzuDS2ekcONHOxNwYalsGWDgpmdhwf9rJ5oNN/P3jY8wrTiTEpOHAiQ5+cXMJ//xuzHcbkiDQ0efgg01VtHXbSYk1c9W8TEKNamTgi511fL7zrJzhWG03YWYtD15bRKRFBwi099q5ZFY6ERYdXX1DhJq1XDIrnXfXV9DZ56C5cxCLSUO4UYXkkynOjCTv/pnYhjwoRAGjXkXPgBO3VybEoKGjd4iUuBBCfRInaru5YHoqpRWdrN/bgNPtpSQ3mrREy4hyF5fbh0aloDBJjWtf8PPmh4x9w19wz/gxnb0OVHs/Oe+5UQx2MGVcDmE6iXNdkBSmcMz581BFJCA57f7nqP4wUzQSekM6vnnX47P1oTSH4x3so2/7+4g6I+7Okb14wG8+K4gKPD0tiBod/Xs+JnLZ3XR98SI+W09gvaGq/RgLFjFv/Eya2m1cPDONL3fV8/WeepaWxGLKCGFWtpGxYyYw5JZo67Kz53gbLV12YsMNOFweQCYrKZToCAP56ZGICoETdT1sKW3m0+21PHPfTDbub6Sxw0ZClJGFk5JBlkmND6Gx3caRar+3UnKMiWsW5/DhRn81iNmgJiXWTH2blU+31XDDBbl09TvYdbQVURSYPC4Gj1diS2kTj946mYbWfiIsBj7bXnfe87JxfyOXz073S22+4wyQJAiUn+rlk+21DA55yM+M4OIZaehVYtDEwP8EgiDgAX735sEgX5ZDlZ2MT/f7vgUdgwwHTnQETN2ff2AOxTlR6LVKOvqCyYhz0dk7RFFOFJfPSWfd3gYOVXQQFarnsjnp6DXK836vv9rdQEFGFC1ddsZnhGPUq+judxBh0WHWqTj/8E1Gdtjo/nLkiREAr70fQaNDHvIgnljHijkXU5yiR29vRqkCRYgRyTwTXVIOsteDKjQae9VBbIfWAeDp78TVXkvf1newzFzOUM2hwDIAZ8NxFKYwIpd+n44Pf4vP1odCa8Qny4QvuQ2vx4NgiiRO9PDMPdPYdbyDI1VdhJm1TM+Pp7Khl/o2m7/quGsQlVLBT2+cyOaDTbyytpz7VhTwybYayqq6kGUIM2u5aEYqdoeb3949nd1HW6ltGSApxsSCkiQ8XonPd55CAL/fz3mqpDOSLMNi4jVqBWqVgh+uLOTVz8vps7kQBMjPjCQzycJfz2Pu3tZjJzxEi0mvRqkQcXt81LdZcbt97D7WxiWz0njuR7MZHPJQ3+5PfdQIozlgo/DjzDdccx7y8X8Ds149YpDAKEYxilHAKAH0nYDT7cPh9jI2NZyf/3U3s4oSMOiUXDYng9Wbzw7KewachBg1fLazjmsWZ/On9w8Pm9W9YOoY9pe302N10tXvYGpeLDvKRpb8gH8WqzA7ikljY/jrR0c5Ud/LE3dM46HrivH6JN748iR//+QYoSYtiyYnMzE3Gp8kc7gqmGSIDPVXLimVIqIoEmLUsK20mb3lZ8mnjt4hdh9t5eHrJ9JrdVLfNkBUqJ6dpyVJB092MG9iItcsyqLP5mL/8XYiw3SoTKHUJl9CWt5SxMaDIKqQkosp75CZoNGhiU077+9ThsaAoEDUGc96+pwDUWtkwKchJtxAWVUniWGpQcsVRguRS++ie91LePvO/hZVZCKRS7+PJj4TXfJYeja9PtzUWZbo/vrvxN30W0KNWi6YmkKIFopifLhagsmWcyE5bNDXQv/q36GOTSN69g2ERejpt9lpa7Jxx6XjKc3t5LXPy3G4fJRWdqJSiiREG+kZcPHHH8xiz7E2+gdd5KSEIcvwzNul+CSZrj4HnX1DHKnqIjJUT86YMFq7BlmzOfh4LpiaQphZy+CQh6gwHdcszmbN5hoa2q1EWHRcMHUMiyYnkxht4qvd9TR12PB4pW9NivtPgEqlQBD8EhVJljlY0clfzzHW7uxzcOBkBz+5vpjIUH0Q+XMGvVYnGw80ct2iLAQBZhUk8Mf3DgcNWKJCddx1ZT4fbKiko3eI379dyrP3z0QtgCRJqAQIM/ireg5UdRJp0fP8h2UB/yaA3JRQ7ltRyHPvl3G87iwJsnbHKbYeauHH1xbz3AeHyUwKRZJljtf2cMXcDLw+H7qhds6XT+azDxCi8dHjEIkxhuIbHDkaWxGZQprJgtvagyGzBEddGcaxM9BnlTCwdy2uHR+iMIZgLr4AVXgCGrWGzk//dNZHBFBFJhF18X307vgAY2LOea+LOjLRL6M0hjHYeoqY63/NwK7VQeTPGQweXkfh9XPprpb4ek8DPq+Hp68bg3BwNc6PjtKl1qIcOw/FmJkcquxl6bQxbD/slwTNm5hIU4eNvPQIMpNC6ewd4o0vTzAuPZKHb5jI61+cwOOVGJsaxpKpKXy8tYYf/nFboFooOcbEb+6cRnuvndYuO6vWHictPgSDTsXTb5Vy84Vj+d2bB9l5tI15Jcl8sbuOwswoxqZGIMkSHq/MtAlxuNw+DlV2cekcyzC/p3PRa3Vy5bwMlAoB5Xc4DlgSBF7/qoIdZS2B/63b28jWQy387u7pmDXKgOfWP4JCIQbeQy6fzK7DrUHkzxkcrelmfkkSseEG2nqGV4jGhhuoaxnAqFchCALJMf4URfB710zIiMCgU9HYbmNCRjgGnZrHV+0LTNp09jk4XtfD8gWZPHR9MU++fmBESYbZqKHH6uThF3YFKscEAV6+Nx9EBUjDq0VU4fEIivOnTgIoTWGByjx5qJ85uSEI/S30l36N0hyObswEer5+6ZyqOgFz0ULC5l5H7+Y3UUcl4e3vRFBp0EQl07H9/WH78Nl6GTy+A0POFNRRiZinXIwmLgtkCfu2d3GeOoKo1qIdP5+S9Dn0Dpj81Yj4K0zbuu0890FZgOBTiAIrF2ZhMWn43RsHmF+SzI1Lc3F7JETR3weSJL8cUBQFkmPNzC6Ip6VzkCGXl/zMSI7X9XDLRWP5xd/2DPO7m1kQT23zwLDQiWsXZ6PXKhkTZ+Keq/JxeyTCQ7Q0tFvpGkHSeS4kScagU7FhXwNFOTFsPNBIRIiW6qZ+nn6rlPklSeSlhZOTEkZtywATMyP+rwnNUfxnwTbkRqdR/kNvq/8bhBg0VLf0/9PbHcUoRvGfgX+TYNj/bDicHrr6HLi9Pn58fTGbDzTx4z/vRK9Vct+KAtLiQzDpVYxPj8BiVHPj0rFUNfTx0xtLmJARiUmvYkycmR9fV0xUqI595e0snTYGl9tHWoKF/KzI8+47JyUMZLj/2W0cq+3BoFXRN+Cg1+rk53/bQ3VTP7IMQ04PTrcXh9OLze5hXnES8yYmIgr+mbn+QTc7ylqYUxiPQhRwurxB5M8ZON0+Pt1eS3qiBZNezeaDzYFlPklm/b5GHvzzTl79/ASDTg9xkUY6eu2YwyP4slrgze7xvNWZw8YamfCocN5ZV4k6OhWFIWTE32eZdBE2p4R6zq0gfPN2F9DNvRVjeAQqpcB7G6pwhKQi6kxnt59yGT2bXgsif8BvIt2z8TVCJl2IQmc6bwKR7HbgG+wjpPRVJgvHKAqz0fX+44gqzXmvyRkojCGEzVqBq3Qtg28/iPLTnxG1908I7SeID1Xx1F0zCDP729l3op0Z+QnsOtrK4coOFk1Oxu3x8foXJ/jT+4cDnkATMiJxuX0crelm/b4G/vTeYXqtTn5/30xuvnAsNy7L5Zffm4zFpOHEqR60GgUNrTaeefsQ9W1WZBm6+hy8/sUJ6loGMGiVzCpM4IFriv4ls1jfGQgCg26JNdvqeOHj4xyo6sLlk/liBIJHlmFzaTO7j7aN0JAf2w614PbKuL0Sr31ePmy2urPPwV/WHOGGZbms21uPw+XleF0PPlGk3+HF4ZVBFHD5ZPQaFc99EEz+ALT2DFHXOhBE/pyB1e5m66Fmfnh1IePTIyjJjeFnN00kMcrIqrXluISRfTtOnwwQVazZ24Wq+LIR11CYIzBFxTKu62t/B1epwjBuJrrUfDo/egZXazUg4xvsp2/rO0huO11fvBhE/oBfdta/6yP0YyagjkpB1I6coBNSciEKvRlZZ0afNRlfXzv28p3n/QVDJ3cxaVwslQ293Ls4BtdHv8J5qgxkCck1hPvQZ2h3vMjMbCO/enkvd14+gawkC4++vJdVa8t5b0MVj63ax/ayFu5bUciBE+089foBvnfxOHr6HcRGGPn1q/tZv68xSFbZ0G7jLx8dpaapn1c+K6ejd4i5ExP5YGMVHb1DrNvbwCM3T6IoK4q3vjrJzcvGYXN4ePa9Q7yw+ggV9b1kJFgINWlZOCmZsspOspJDz/s7x2dEoNMqkCUZv4PVdxMDdncQ+XMGLreP1z4/gfx/cOii6K/2OVDVxQsfH6ey2cqBk53sODK83TPYuL+RaRPiRlx21fwM9DolouD3Vrtohn9yYG5xIj+9cSJRoXo8Xok5RQnkpUfy6uflI1q7rN5UzZDLy1XzMgEClSVXzM3glov8UrO/f3IM4fQy8L9D3trWinnOjcMbVCgxLbwdR1crxvFzRjx2TVw6nr6OAHlkyJ6MYO2gY83vcbXWYMqbRfcXf/mGpFLGWroOUa1DFR6PuXARgyd2oo3PCkq0/CbsFXsw5EzFF5LI+w3x2Bxe2t/4Gc66w4HnaejAWuQNz1KQqOad9ZU88co+kmNDWLevIYgM8Ukyb31dwbjUCMAv+ersc/Dgn3fwuzdL+WpPPWu21PDzv+8hIkRHalwIH2+rZc+xNlRKkZyUMJZNT2Xt9joeuXkSE3OjMRvUJEabuPnCsSyZkkJhVhTZKaGY9CqykkN56PpiJmRE4vVK9A26+fWr+3nqjQM88eo+1EoFCoWAUjFyV1kQIDrMgG3Izafb6/ypkUZ1kMR64/5GEqJM/OTFXSRFm/7jQhJG8X+PQYcHvfZfMw8fYlTTZ3ONmKY3ilGMYhT/qzfP888/T0REBMuXLx+Rwa6srGTDhg3cfffd/5vd/MdDo1Fg0qsZGHTj8Xh5+IZinG4ftiE3YWYtN1+Yi0ajxOnyUtdqpX/QyaIpKXi9Pm5YmotGpaB/0Mnx6m6yxoRx/QU5bDvUjG3IgyAIzCqIJ8Tob/9cKESBi2el8fHWmsCMmMPlJSbCwG/fOCtP0muVPHhtMZ/vrOOTbbXIsn8GdG5xIvcuL6C+1conW2uZPC6azKQwDlV2futHp6y6C5VS5ODJzvP6O7R12xlyephVEM/+8g7W72tg8rhY8tL9s2cHTrbz8bYaBODGuQlEXnw/vZvfwN3uH5ALGj2WKZcgeVwcr7dSWqtg+eWPoazYiLe7ESE0HnnsIt7Z3888kz+2/s6lqRh1IpblP6f3yxdwdzagDI0OSv06F67mSmS3A1Fv/tbrKzlsDFUfIDwxm96NryK57AgqNaJGj+QaLivQpuThbKkkfP5NdH/196B4XU9vG55PnmLMykd5fE0dD1xbzLPvHEKpFOmzOnnmvpm8t76SL3bt4Cc3lhAXaWR/eTtqlYILpqYQE26gu9/B/SsK0GuV7DzSil6r4tXPTtDZN4QoCnT02HnwumIsJg0mnfq83hdf7amnJDeGx1btxaRX872LxzE2ORThOy41+R9DEDh6qjcoqWvPsbaACejv3yod5qfjcPnNRs8HSZLwyTIup7+SYyS09wzh9kg0nZZpVTf2sb+8A61GwezChLMVEYK/ku+byEkJ+9YUsl1HW7lgWgr7yttxur1cOiud8BAdd14+AV2YhFOtQ3YPn/3WjMlna62dk/V9dM8ZT/zsa7HuWo3s8Q961HGZRC69E29fG/qUsQiiEndfOyHFF9D56R9HPBZBVOLpbh5xmbPpBCFTLsZrHyD68gfpXr8KT5dfDiZqDVimXY5otOBsOokhbw6d7/+asFkrkEeonDgDn8eN1ytxzbxkvPveH169B3g7TxGr7EerVrL5YCNDTu+wissTp3rJSg5jQkYkZVVdbC1tIndMOL1W5zB53RmU1/Vw2Wx/8qFKKeJweQPv30OVnVQ09PLzmyfR1mOnqqkPjUrBigVZ/vfeiXZCzRqqm/qZNj6ON746yUPXT2T30bZh71yDTsWM/Hga223EhBuwfEefS6VSwcGK85M0ZdVduH0y6m8hgQQB7B6Jn/11d+BZmD8xCav92wdAXp/EtPGxHK7sDAQr6LVKrluSw9jUCAYdbnw+GYfLh83u4mc3ldDeY+exVWcj0vccayMu0nheuYVPkhlyeIiJ0JMYbeSWi8ZRVtVFWVUXFqOarOQwnr5nBq3ddnQaJb1WJx9uqmJLWSeZ8elMW/k4ztLP8Vm7EKLSCZl0IW29DuLM4WgL5iOIItbDG07fwwK61AmETFxKxyfP+s+NWoshaxIda34PsoQ+rQB71QGGhyL4YT28gYild/qrj3w+EEVk6fznUJZ8KMNi8QoymbEa3Ps+GNGry9vdSLTQQ4RFS3e/kze/OsnCScl8sHG4OfzWQ81MHR/Hhv2N9FmdTMiI4Eh1d8AT6P4VBWw60MSx2rMTL9sOt3Df8nxSYs1Mz4/D55O4bHY63QNOuvsdbCltYvXmam67ZBy3XjyOhvZB2nvsvLK2nIRoI9csymb15upA1dDAoBun24fd6WHZ9DF8sq122HHOLUpk26EmspLDANDrlEzMjeH3bwXLZ4/WdDN9fCwhRvX/cSXbKP7zYRvyoFP/aybOQo0aZBl6rE6iQ/X/kn2MYhSj+PfF/5oAEgSBjRs38swzzxASElyFUVlZyQsvvDBKAP0DaBUiLo2S9zZUUlrRybjUMGYVJLDvRAc1Tf2MSwtHlglKb3p/QzW/vGUSz753CKvd39m6al4mu460suGcdKCa5n7KKjt47LapvPbFCcqqOpFlvy/MjctyCTNrqG7uD6zv8Ur4fHKQ+eKKBVm8t74yYFwK/o7z+n0NiAIUZEWy70Q7KpWCT7bVsnByEpUNI8tCwJ965vb4OFrTxcqF2cMixc+g5LT3zJmo2F1HWwPnQKnwxyhr1Uoa+mXi1XqM42aimnEVss8HssxgxR5845bxxgcNdPU52FvZy5O3r+BweTNt/R62v1aLy+1jdkka09O1ONa/gnNPBV2mMEImLkUdlezvBH8LBFGJqDMi6s2BFKSg5Uo1qtAYIhbfhtIShW/Iim7MeJytNcSs/CVeWzf4vNgr9mKv2o/SFI5l8iX0bn4DVWhsEPlzLmzb3uSqabeQZHDy5AVqfG4nJrODIQT2HGtFkuE3r+3nR1cX4nR7yU0JQ6lQ8OjLewNmnApR4KKZqczIj+ejLTX4JJnoMD0/vq6YpBgz7T12JIlh5p1nIMv+mFGjToXV7uYP7xziiTumkhCm+48qcXf5ZJ77oGzY//ttLj7eWsuCSUl8vDV4cFDd1MeKBZkjDhoAinKi2XSgiby08G/dd0fvEBqVAofLS2ykkTHxSrr7Hfzmtf1oVAruujJ/RPIH/NKEb4sTVyoETrVaOXGqlx9fV8wHG6s4We+Pa85OCuHBCx/A/ulvQRDRxPu9Unz2AXyTruHUtg7mT0zErdDxcnUslyx7lBgjKFQqRKeV9ncfxzfob0vQ6IlceidIvmGVdACi3ow8AgETtI5Gj0IfwkDpV5iLFqGOSjn9fx2S5MPT24E2dyZ4XOjTC3G21qBPL2So6sCI7ZlzJ+NTu5mcFcbA7vNXNygaD5EWX8jBkx1cMjOd7YeHExWbDjRyw9Jcyqq6OHiyk9S4EAbPUzEQ+D2n5Viy7H8fnoshpxer3c1z75cN2y7UpGFWYQLbD7cwJS+WIaeXDzdV8dMbJ/L2ugpqT0udxqWFc8WcDLYfbmZGfgJVTb1EhX5bVdf/n5BRfcv5EgThH9YuSYLAS58cC3oWPF6JYzU9lOTG0NhuG3G7krExvPbFSaZNiGPFwix8PhlBgDFxZv784WEa2mxEhepZNmMMOWPCUSpFnnxteKDCP3rf+SSZCIuOH11TxC/+tger3Y1CFHjg2iLWbK5h3znVsnERBu65qoBVa49zvGmI5KQUPDkrqW3sRm8yMlv2odv9Vzra6kAQMY6bSezVvwTwJ9w1lNPx8TPIbieahCxCp12O7HEhux2Ezr4abdI4+nevPu+xeq3dyJLE4OEN6LMn4e5sxDL1MmyH14+4vj5zIgICCpeVKTmhtG49//OkbColLb6E7v52yut6WDZ9zIjrdfc7SIgyEh2mJy7SyOVzMmjrttPZ5yAp2oRtyB1E/gB876Jx1LYM8OcPjwSuh8Wo4c7Lx7OvvI1Trf7vs0Ih8upnJ8hLj8DjlbjlonGolCKDDk9Qv0UQQKtW4HD7AxfUSgVf7j7FoMODTqNk4aRkxsSZee79wzx8QzgTMiLxeSVCTRq+OR+qVomsXJiF+G9ixj6K/zc4IwH7V8Bi8leHd/Y5RgmgUYxiFMPwv37zLFu2jK1bt3LFFVfw/PPPk5WV9c84rv8qqFQirU0DlFZ0Mm9iEtPGx1Ld1E94iJbpE3LRa5U0dw4Oi+9es6WG2y8dz/MfHsHnk8hIsvDrV4d3TqubB/h4azWLJiWzeHIysgwdvXb+suYoWrWCqxdm8/u3z85Y2YbcCMLpwYkoEBdpCCJ/zsWmg00snppCRoKF0pMdpCeG8viq/Txyc8l5f++ksTG4vVJgxjQrKXRY+yFGNdPz4/ntGwf4wcpCGtsHSIrU0W3zkBCqYk6OAaGxFKXPhULW0dCvJz15Is7OOlwdDaiik9FMXcmpfgVXzdPw1Z564iINbDjYype7/QRZhEXLLQuSyQpxgL0XZe5UBoYG8Pa10bv5TQBiTnesR4QgIkteur74C2Gzr6b7y7/xzVlVy/Qr6NvxAa6WKkKmXELsdY8Hklokpw1n00lEjQHzxAuwTPPLaQZK1xFxwe3Yjmw+765drTWMXaSg/dUfBsr8nYB+3Cwevmohv3m/kp4BJx9trWXxlGR0GhW/fGlPkPeBT5L5eGstY+JC+NWtkzEbNKhVIvWtA3y6vZbEKBNjU7+doNBqFEFtvvXVSR68uvA7LDb5n0EUBaob+s47wDta08XSaWP4mGCix6BVER6iZdLYmKDBHfgjX5dOG8Pv3jxIZlIoSoV43iqFUJMGp9uLTqNkfHoEp1qtAV8wr8+f2BUdZhhx2+O13dxzVT6bDoxcwTZtQjwHTnRw0YxUPtpSEyB/ACoaB/jjJoGHrn8atXvAXzGgUGLKm4Xb1s9tCSdBqcEt6omzqHhgVTnRoTr+dHUM7e8+GrQfVVgsksuBGK4HBALPiEJJ+NzrUBgsqEJjRjxGAEQFknOQrs+ex1y0BF3yWKxHt2PdtxZtYjZhC7+Hu7MBjc+DrFSizyhG1IeA14WjoTzwvAXOf2oBvp5mrBteJeryBxk0ho7oFQQgq424vD70GhUuz8gVRed24vVaJQ63j+jw8xu9KkQBo07Fk9+fxtGabiItenQaZSDVDRgxpQigOCc68B3w+fzeI8dre7hqfgYz8+MDMqPqpn7+8O4hrHY3Rp2aULP6X+Iz8c+A1ytRnBPFG1+dHHH51LxY1EoR+VsqedxembLq4Eo6lVKkvK6bS2aljZgolRhtIjpUz5HqroAxN/gnUnqsDpZNS+WZt0upae7nj+8e5td3TqGxfXBEmVeP1Ul8pJGWruFVXxqV32D4uffKuGhmaoBQn5Efz6GKzmHvh9ZuO89/UMbPbiph44FG9p/oYH5hLMkhYQhNZQwdbMWcvwBxkp6eja8yeGwrg8e2Ejr/JrQp41FHJhJ14T0AeAa6GKo/inn8PMLmXU//7o8YqilFl5yHo+bQiOdSE5OKQmfGMG4mytBoRETcPS3oxkzAcepI0LqCRk/o1MuxHvgSz0AHYbOvQZ87FW9XE+aiRYhaI4Io4mqrxXpoPZLagPv0c6RRK84rh8pIsjBpbAzTJ8TxxpcnqW+zctOFuShFEZVS5P1vVA2lJYQgyfIwz7X+QRd/eOcQD11fzGOr9pEQZaSn30llYx+3X5rHy2vL+WRbDaIgMHV8LD+/eRLPf1hGiEHD9Utz2LS/kc2lzTx4bREtXTZuuzQPtVKBV5LYfriFtTtqMRvUCMCls9L47ZsHSYw28uT3p/Poqr0BQjI7OQxBEL71Hh7Ffx9sQx6i/0XEvEmnQiEKdP4DD6tRjGIU/534XxNAM2fO5J577uGuu+5ixYoVPPHEEyxduvSfcWz/NZAEkZ1HWplfkkRMmD6ovHzd3gZS40P4wcoCPt5ag23obGn18boePD6JP9w/E6vdHZQM9U1sP9zC/JIkbHa/LCw2wsjyBZms3V6H1e4O6rweq+2mIDOKQ5WdGHUqekcwrjwDj1eip9/JwsnJ/PLve1ixMJuPttRQ2zzAJbPShlVAWEwaFk1JobHNSnSYnpc+OcY9V+XT3jPE9sPNuDw+Jo+LJT8zkr+uOUp8pJ4Mi4d7sluQ2irRFc7CZ21mYPW7ALgBSr8gOj4bRdJ9tBizCIubwMtfnGT30QOB2dwr5mYSHabjoed3AZCRaOZHS6KRd75C+x5/p1EVHk/YnGuwHd4Q6Og6Th1BnzWJocp9fBPGcTMZLN+JqNGjjkwm9vrHcXc1g9eNz2VHG5+Nz95H37b3/HG+oshQ9UEGdn+E5LSjDIslctnd9G17l/4dfoNNhTmC8Pk34Gg4geIcL6JvQtSb8XbWDzMIHTq+jfTYLNISQqhtHuDgyQ4kWSY3JWyY8eUZfLCxiktnp6NQiPz4+b2BWGTwR/WmJ1ioOadK7Az0WiVKUcR5zvoN7Ta8kozquznW/B9DEPx+VueDLDOspF+pELl/ZQEaUeDWi8YyJS+WtTvqsDs85KVHMDM/nlc/L2fI6WX30VYWlCQNi/EGKMj0e3eNSw3nklnpqJUiX+4KHuB8tbueq+ZljhgZbnd60WqUzCyIH1a5Eh2mZ/LYGB57ZR8LJyWxenM1IUY1Q86zcqR548Ox7l6Dp2I7AFGX/ICer/+Os/HEOS2tYe7Eyyj53hQizUoGNr8ctB9T/nw0sWn0bX8PY85UdBlFiCot6qgktIm5WA99jc/aS8jki9CnFzFUMzx5zJQ/D4XBQsQFdyAoVAzVHsE0dhqm8bMQgKHqUhQqFT0bViE5BrFMuxxNfBaOxhPEXPVTBst34KgrQ9ScrhIMi0VQqJGcNno3vEL4gpvo/Oj3I15fKWUiJzbXcPNFY9m0f+QUspyUMKLD9Dx0fTFhJi3NXYO4Pd4RyT/we8hs2N/A3OJEYsINnGob4LZL83juHFP/+jbriNdUqRADRNSW0iaWTRvDziOt1LfaePXzE4yEDzdX89u7pn+npScGjZLL56SzZktwOpPFqOGaRdnwLRIkAN8Iy0srO5lRkMALq49w95UTOFbbw77jbYiiwMyCeGYVJvCHcyY+FKLAgpIkIkN1vLD6CGNTw7nughxWrS0HwOnyy7JHwmc76rjj0jx+/ep+3Oe8ZwUBblyWy1e766ls7Aua7Z88LpZn3hkpac9fWdncNcimA02MSwlB1dnPwNd/CsTC28o2ogyJInLZ3XR89HtktxPrvk9RJ46l493HEXVGIhbdiiAISA47XlsPnR/9gTPka+i0KwKR7erYNPTphQiCAkdjOZYZV2I7uglPZyOa+Ax0KXn07/4Y84Q56FLzGTy+Hck1hC5lHIacqXR9/iKqyHjMhQtpe/dxYq9/DHdzJX3bP8Rr9RNr2qRcoi6+j36MHN9aAcC8iYnsKx9e/atSiszMj8frkzhc1cmy6WN4+q1Snnn7ENFheh69bcowMnb+xCQ+/kay1xm4PD5qWwZIiw/hgml+KZfFqMEnyxh0SmQZfLLMjrJWyut6eey2KfRYnewsa8GoVwPwybZaLpyRyp/eOxxkLK0QBe69qgCn28sf3z+Mw+WlqrGfxg4rP76umMde3stlc9KxDroYcnpIDNf/R1XHjuJ/B9uQh5SY8/fz/jcQRQGLSfOt6YWjGMUo/nvxT6k9TEpK4oMPPuCRRx7hgQce4Pjx4zz44IP/jKb/K+DzyShEgekT4th3vJ0frizEK0nUNQ9wsr6H+jYrB0908PjtU3lh9ZHAoCA8RMvyBVkcruzEZFDj8Z7f82LhpGQ6ex2sWns8YAgcZtZy68XjqG7qY+yYsAABtH5fI4/cVEJDu5WBQTchxvMbFosCiCJ8vLWGH11TxPsbKnn89im43D4qG/t44Noidh1pxTbkZlxaBCU50Ww/3My+Ex3cdkkev3+7lKffKiUj0cKM/Hg0KgVT8mJ5YXUZkizzo8VRWN/5CbLHiaBUYy5eTO/n7w47Dk9LBUPlO9CkzuHHf96JdcjNNXOTmJpuAFsHgtiOWRPH/KJ41h9o4v6lSbg//kXAtwTA09NC5yd/JOaqh3E2nUT2uhnY/zkJt/0RUa1jsHwnSF4EpTowsLUe+hpz0RKcLZX+dY5tRRqyoknKQZFhwt3bSuTS7zNUV4bscdO35a3A/sLnXEvnR78PpCgpjKEoDSH0bHiV8Hk3oDCk07/n00Cn/1yYChcxeHz7iNfEcfAzLpl4B8+cloNoVAqaOkaWQIDfbyk1LoRHXw4mf8Df8X3g2iKeev1AkBRMqRD5/hUThhF8UaE6FMI5VR7/5vD5JLJSzm+ymxBlJCnGxJIpKTR12EhPtLCgJAm9SsTnkxCBgrRw8tLCOXGql33l7Ty2am/AGHjb4WbuvjKfi5SprNvXgMvtQyEKzMiPZ3ZRAh9srGZBSRJDTg8er5b2b6QVHa7s5NrFWdy3ooB3vq5g7/E2JPlslZFZr2ZWQQJF2VHsPNKK0+Vj6vhYMpNCeeKVfWhUCkKMGh6+wZ/MF2LQMOhws35fA5mGgQD5o4nPwtPT8g3yxw/XgY9IGJONt60TzzkSL6UlGm1SLl1rn/Ov19lI+PwbGNj3GYNHt+KoPYxx/GxU4fF0fvonIubfiKgzMli+K/CchUy+CH3WJPq2vouj9hCISszFi/H0d2Cv2Ic2MRtZ8tG39R0AQkqWIbmG6PjgNwBY93+GIbOEkEkXoo3PouvLv+Jur0UZEkn4vBvo/OSPhM+7DnX0GNwdweSaZsoKNpywMzY1jLFjwvl8x/C4dVHwS2RfXHOE4uxovNESSoVAUkwICyaJ6LUqdpQ14/XJaFQK5pUksnhSCg88t40Lpo7hvQ0VLJkyhthwA09+fxpbSpto6bQjSzL3XJXPz/+2O8i7rbqpj4WTUjha3U1pRScTMiK5bHY6ta0jR16DX6ooy/J5jWy/CxBkmSWTkynOieaLXafoH3QxKTeGktxoNArhHw6aNSoFCVHGIN+lr/fU8+A1RZh0Kp564wA5KeEsmpxMdLiBrCQLoiTxo6uLaO4axOXxoVYq2Ffexotr/OR/eV0PF81IRatWBJI60xIsI+6/rdvO1kNN/OH+WXy9t576ViuRoXqmT4hj55EWDlX6J2ecbh+i4I+bl5HPS8qDXwZlNqi5ZmYMzo9/Nuw74B3oxFr6Nabxc7Ae/AqfrRelWg2iksgL76F385t4upsJm3MtvVve4tx3cu+Wt4hZ/jMkpx13Zz32k7uRfT4MOVMAsJ/Yhc/Wi6e3DUf9cSzTLqNn/avo0woInbkCT08LrtZq2t//DUg+3J2n8Nl6CZ1+Od7edro+fzHoWJ2NJ+jqaSVsxaPIskxStIkZE+IZGHRR12IN9D0So01cuzibU61WTtb3cOnsdF748AgPXV/Mkeouqhv7OV7TzZRxsUGyPotJ862VDu09Q6xYmMWxmm6aOmxcvSiLv645yryJ/kmxM3KyXquTsuouDld2UlrRyQ9WFnDVvEzW7qhlx+EWfn7zJPaVt9HUMUh8lJFp4+P4Ylcd+8qDzetLKzpJiw/hqbum0dBmQ6tRUt3Uz5hoI273+ftpo/jvgSzLDDr/dSbQABaDerQCaBSjGMWI+Ke9eXQ6Hc888wzjx4/n6aef5uTJk8yZM3JCxSiC4fX4uHR2Gm6PRJ/NSX2blfHpEfSFuJhZkMi1S0wcr+umrcdOSW4Mt148DqfbR6/Vif60gdzqTdVcuyRnRM8Ri0lDcU40T3xDHtZrdfLMad8WjUqByeBPDSjMikKpFHj01inUtQ6gUSmIjTDQ1j08KndyXhyiKLJ4SgpbSpvJz4xCFAU+3FRNWXUXRp2KkrExhJm1lFV18v6GSn5xy2Q+3VHHO+sqePDaIk61+juAKqVIeqKF47Xd3HrJeDQ+O67PngqQNLqUPIbOU7YO4DzyNbqUSfQPuvj5ymziGr7EvfpsElCf1siNVzzMlfPmIB77HKtnhMomyYvt6BYMudMYPLoFVVisvxpIEIi+7IfIkoQqPJ6hqv10ff4CkRfdg6enFa+1m8GjWwLNeHpbsR/fQezVv2So/hiWqZfR9uYjgeWqsDi8A134BvvQxKUTNv8mJHs/rq4mVKExiFojPpeDiMXfo3vdqqBKH11aIcacqQzs/HDE8+Ab7CM+4qzmu7N3iOn58Wwbwb8EICnGhEIhDIuTnpIXy8JJyTR32vjF9ybT0GrlZH0vCVFGkmPNfLKtdph0b/mCTFQK4T8q6cSgUTK7MIGth4JNikUBbr80D71SYOW8dLwSKEW/pEU+N9nGJ6FSKth9rI093/C7kmV4/sMyLpiawrP3z2TI6aV/0MX+8naeeGU/Xp/EiVM9TMyJ5qYLc0mMMVFRf/acF2RFseVgCwN2F1fNzzztYyIhigJDTi8dfUOEnfakuHJeJgIypRWdiIKAw+Xlx9cV8/dPjgV5X8SE6/nlDfmIW57nTL2hMWcKAwe/Ou85sp/cjSYxB3VkIo7TcipT/nwG9q0F/ORmSMlSWl/7SSC22tPbirPpJKaiRRizp9Dx8bOY8mYSfdkPQaVFaTDjaq1hqPog5uLFhM25xq8gQ0ByuzAXL0Ea7KVr22lCWKFEmzyOjg+fOntgkg97xR5/UlHuNNRRSbjba/EOdCG5HShMYbh7WgmdtQKfBEPVB1DoTAipkznZJTPGomNGiZHHX9nL3Vfks6OshW2HW/D6JNISQrhuSQ51rQNcOTeTT7bXsGZLDeEhWpZMSWF8RgRKpcCD1xYjy/5qkF1HWzl+qodp+fGUVXWxZMoYXvmsHItJw+SxMaQnhBIdaqCioZep4+P40dVFdPU7OHmql4RoIymxZqJC9YH38SuflbOgJIm89Ihh1WFnEBWqQwbcnu/2MynKMjEhGm69MBefDErB/yz9n1RMqEX/s/jLv+8JSLQkSUYUBVRKkR9dXRS4BvvK23lnXQWP3FiCx+sLqrj9JupaBogNNxBu0WE2aIgI0Z0mdYLl2KIoMKcoCUmWaeu2kxJnpt/m4rdvHAiqCAoxqs9KyGQC5NJIiA7Vo1aKqAca8UjBVYiCQoU2eSyCQoU+vQjrwa9QWqIZ8omYFtyKs+F4wFRdGRqNu6M+aHt3ZwOiSkPvhldxtZ2tnOnf0cTgkS1EXXQfknsI70AXXlsfsmuIqIvuxWvvp/PTZ5Hdw7+dzsYThM5aSe/mt4YtA/DZ+5Gaj/Pqg1Podql49KW9pCdaeOj6Yjp6h5Bl6Lc56R/0G3cfONHBlfMyWTI1hcdf2ce41AhS4swcq+3mohmprN/XEEg+POMZdD7j9aykUHYfbWVLaTOTx8UQHWagoqGP+jYrP1hZGOQntP9EO3dfMQGXx8fgkAevT+J398zA7vD4gzNmpgIC72+sCiLzz4VapeDEqV4KsqIIMWoIMajJTLLg/ZZJulH8d8Hh8iJJ8r/MAwj8FZTNI8hSRzGKUYzin/7mueGGGxg7diz3338/Bw8e/McbjAIR/+zsQ8/v5Mp5mXT1O/jVy3uD1lk8OZlIi47fvnGQHWUmLpwxhqgwA26vhEIh0j/ooq5lgBn58cPidBdOSmbtCLPX4Ddz3l/eTlefnR6ri+QYM9nJFpRKBRv2N7D5YDOzC+P50dWFPPvu4SCPg3Fp4cyfmMjJUz1kJIZyycw0XB4voiAE/BgGHR42Hwz2IGnusBEfaaS2ZYDHVu0jJdZMWkII2SlhPP7KPn5640TsDg+haieD3We3FVQaJOdwEuoMJOcQTpeH/Ixw4q1HcFXs/MbyQTrfe4zYW56hp7H8vO242uow589DmzSW0BlXATJKUxjuzgasB78mfLHfcwRZQlRp0cSl0z8CGSN73fRsfgtj3iyQvIHEL316EeaJSwGZmGt+hdIYRsfqp/D0nB1UiHozMSsewStLxN/8O1wt1XgHe9FEjzld/bCX2OueoO2tXwybGdbEpaPSa5mWF01iuJpQs4m87Gg+3FTFkHO4nGnlwqxh1WPT8+PIHRPO46v2BgYsidEmJo+NIS89nJZOOzVNZ0kDURS4Ym4G6eeZIf93hijLXLs4i7y0cNZsqaHP5iI7OZRrl2QTqlefJrv8J+l8E/o+n8SSKSnDCCDwk0AmvRqNSsGbX1WMuM6Bkx1cPCuNi2emUVHvf69mJlm4bkkOgiAwOOSmscPGFztP0dXv4NLZaThdPtZsqeapu6bz0Au7gtpTiAL3Li/gy931wwzb23uGOFbVQd453jmi1ohpwlzUUUmnTdYlbEc246grA0By2XG31WIuXBj4nyosNjDwNBcsoH/XmgD5cy5speuIufoXDBz4AtuRzbg66gmddjmtq38XVKGnCosjfNEtOE4dw5g3E2nIhqg1YsyZ6vcJcg3h/Jbn2l6xj6iL7w0Qte7ORtTRY0CW6fjgSUzTl7NTO4fyU31Q14UMhJq0VDb00d3v5IONVdywNJe5xYm4vRJRoTp6rU5yUvzVkx6vhNcn0dE7xGtfnGBucQKRFj1Pvh5sRK1SKogNN9DYYSMtPoTFU1JYv7eer/c2AA0YdSruvHw8PVYHv/z7XhKijPz4umKaO21sPtjkTwm7aRJbDzWz6UATe461Mbc4ccSkR/BXKNnsnu+wCfRZyDL4Tj9E324LHgyfTyY+TM/T98zgra8rqGjooyAzkq5+Bx9vq4URJkYOV3VSnBONQhSCZD3nwqxXc9WCTKoa+/jt6wdwuH3cv6KA3DFhfLbzFP02F1nJoVw4IxW9RsmmA41oNcqAF41aKXLBtDEUZEYSYlCRaPLx8p05DLklet3+5/Td9cNTsBKjTQiCwO2LEwkL8cIVP8Y70M3AgS/Qp+WjSyvEUXsIn9OO5LQTdfH9eAUVJzplCsfk0vH2B2cbkyQEpfr0syegS8lDmzIOd3dzEPkD/tACTUIWktOOq7uZ/h0fwGnySRUWR9TlD8C3OLz5BvsCsq+R4GqpRKXUsq8tgsvmpGPSq1ApRGLCDdgdHgaH3GzY38jJ+l6m5MWy5UAjRbkxPHLTJJo6bDhcXiZkRFLdPMAPVhay51grO4+0svtoG1fOy+DZdw8P26dRpyItIYQ+m5NHbi7BYtLw0J/9fQOn24fHK6FWigGizqRTY3d4qWzoQ5IkslPC+OmLu4KSHm9alkuYWTsi+QMwIz+OxvZBvD6JEKMG72kTcGnUA2gUp2E7fT/9KwmgUJOGsppufJKEQvzuVoCOYhSj+H+P/9Wb59JLLyUpKWnY/4uLi/n44495/PHH6es7fxrUKPyQRZH3NlSgP20c++YIZphf722gICuKUJOGxg4bOWPCefTlvUyfEIfZoCEvLYL3N1Ry80XjmJIXy5e7TgVkV1PHx7JhX8N593+qbYBIix55wMXkvFhe/fwECyclo1OraOu28+76KtbtbWT5/Ezio4z0Wp0YdapA1c7xuh7e2+DvxOq1Sn75vcnf+nsVCoGrF2Xx6fY63B4fRdnR5I4J4y9rjvDgNUV8uLGaw1VdPHdzetB2rvY6QkqWYT+5e8R2NSnjaXUKXDwxAs+2l0dcR/a6cTSeRBWbgau5AoUpHJDx2fpQmiOQJS9KUyjK0GgM2ZPp+OhpJIef9NLEZRB54d307/uc0KmXYj+5G0Glwdk0snmpKjwefeoEtIk5iEolglqPZeolyF4PHWueDkRsa5PHEb7gFro++zM+ez8A0pCVzo+fJebKh/DaerGVb0dyDDKw55PAINpn6yFk0oUM7P307E4FkdCZVyGo3dwcfQxPRx0KKQ7l0CJ+e8dEnnr7WIDE02uVXDkvk8hQPVq1IiBNEAWYV5zEY6v2BiWWNHXYaOqw4ZNl3B4vj942hV6rkyGnlxCjBqfLy5/eP8yUcbFMHhuD+B32HPmfQpRkJmZFMv50Ip9SISLI8v+xr4osy8SF6wN+PEqFSHiIFofLS2SojmkT4vH5ZPaP4BlzBnuPtXHp7DTuvjKfozVdXDwzjT+9fziQbmMxabh6YRZVTf2sWlvONYuyGZsajk+SmTwuJigS/u11lTx97wxKKzpG3lfVABOzinG316FNzEYdk4rtyGb6TlfbiBo9IZMvQhufSd+OD9Alj8N6aD2y103Ektvo27kGWZb88dC9baijkunb8cGI+wLwdDWhjk3D3VKFZcqldH3+QhD5A/6KoYH9n6MOj6d3y9uEzlqBt68DT08rss+DPrMEbfJYREMoolKJu7OBwfKdyJ7TlW2Sj3PjeVRhcRjGzUBUaQmbdyN9298ja9EEXv+qE1GAqePjKM6J5vdvH8SgVXLFvAye+6CM+1cW4HB7+e0bB2k8La0MM2u5bkkOhyo7AwT85oPNPHbbFEQxWMIUbtZS29xPydhY/vxBGYsnJ/PzWybTb3OhVSuQZJnjtT1oNf7qzuZOf1z1n98v4+EbSzhZ38t9f9jK5HEx3HFZHqIoYHd6+NmNJby45ij1bf77QaNWcPmcdEJDtCgVwn9++pAsE2ZQc/fl4/FJMoIo8Lu3RvbYAdh4oInC7CgmjYth99HhpKtSIZA9JoxPttUGTar84Z1DpCdYuP3SPCRJ5mhNN3989xBLpo6hurmfWy/KQwBKKzr40TVFbD7QxPGKZi5IttHz6Vv47H65XnTMGLIvuBulkMW7G6sCZELumDAeWJEH3fU4tqyio9c/MaAKjyfyontxNJYzVLkfdXQyCpeDvl2rwecjcvkj5Nn6cLe0++PeM0vQJY8FUYFlxpXYqw4QPmslQ7V+kmTw2Nag32vInYZx3Ezs5Tvp3/sJ6qhkYq56mIFD61BoDGhiU3F3NPiDDU6HJHwTCoMFQaU97zlXhsagDYviEouMpNNzpNlNfZuVt76u4LolOaTGh3DV/AwcLh/hIVrW72vg5KleWrvtVNT3olaJrNlcjdsrMSbWzMM3TiQ13gL4Qw2uvyCHDzdVBwzVE6KM3HzhWN7++iQ9A07W7a3n+gtygwg/r88/iXaGvZ82IY4PNlYSE2EgLy2C594v45aLxvGn98+SS69/cYI//nA2+8rbh1UdrZifiVmvZtOBRlatPQ743823XjyO7CQLwqgH0Cgg4Oep/xcSQGFmDT5JprvfSXTYaBLYKEYxirP4X715nnzyyfMui4yM5LnnnvvfNP9fA49PorSig7nFicNkJufiqz31LJs2hsQYE5UNfXT1Odi4v5EfXV1IanwIB0508PKnx7nnqnzyMiKQJZnalgF2lrUSG2EIlEt/E8kxZqZNiKWxfZC122tZNDmZp944yI+uKUSjUuDy+OVmf/noKD+7qYS/fnQUh8vL/SsKeWH1Edp7zlYKDDm9lNf1kBYfQm3LyL4UCVEmosP0TBkXi8Pl5cSpXlZvrubuKyfw8trygF9Np10kxhSGz+ZPJ/L2taPQmVCFxeLpDe6wCwoVcsElhOktuHo7kBw2QEAdm4qo0uLubgrEtHt6WzEXLsKYOh5PbxuqsFgURgvOlmqQJbRJufgcg3R+9EzQPlyt1fTt/JDwhbcgqnXEXP1LBJUG4ZszK6KSyIvuRnLasR3egPXQOrQJ2cRe+yucDccDfiVn4Gw4Tre1h7C519L12fOB/3v72pBcDrq/+jsRi26hZ+NrQRUUtiObibvxyQABpAqLJWz+jUiOQTrefiwwc0tLFRzfhn7x3dy4JAuVRoVaqWBg0MWuo60UZUehEAWWTU9l7Y46slPCOFbbfd4B48b9jfzsxhIOnOjgo601KBUiDpeXBSVJaNVKXl5bjk6rojgjAt9/0Iyn1yuhAP8EuCT9j12ORFnmusXZXDE3A+ugm6YOKxGhepKiTRjUAoMu6XRSU3DLeWkRzClOIDbcSFu3nfgIA2NTw3jgT9sDfl7g93p5cc1RHrqumEMVnXyyrYa7r8ynudPGzIIELCYtWw424fL4MGiVuNy+Ea+xSikSblJhHDcDXWIWqpAI2t97Au/A2Zl9yTVE37b3CJ9/I7qMiShMYXh6WpCcQxhypxF1yf14elsJX3AzeD0oQ6O/9dzIQOSy79P5yR+Rva5AtVwwBHx2K/qpl6Pua6Nvyzs46k4PygQR49gZuJorsZdvx2cfQJuQRfTlD9K/5xOcDcfRpU44+xsUSjTxGUhDVqxHtqBLGUfkxfcRYdbzu7uno1ErqG+zsaW0iSvmZpCVHMbrX5ygtXsQvUbJz/+6O0i602t18twHh/npjSWUVXUGOvcN7TYiQrQBHwaFKDB1QhwHTrSjVIgkxZj4em8DX+9tQKdR4vVJyLLMT28s4dl3z8pd3V4JryTzp/cOc/uleXT3Oyir7mJfeQeTx8VQXtfL9sPNXDwzjdgIA1q1gvAQHQODLl5cfYRffG8y8gheYv9pkGUZAb98TAbEb0k+U4gCrd12VizIYuGkZHoHnOw62sqhyk4EQeBHVxchSfKwilqAmuZ+nnz9AD9cWRiQXXf1DWExaLA53CxfkMlV8zNZ9elxWrvtXH9xGM7PXghqw91+iq53fsmMKx4jKW4iXp+EXqskSuvGMNiMu68e3czlyF43vdve9ftryTLamFRsHfX07/4Yhd5M6IzlqCxRuJvKkbxu1FEpxKz8OdbSdfTv+wx1VAqhM65EPyaftnd+heS0Y8qf5zfvOw1D7nSMY6fTu+kNPD3+3+tqqcLd2UDEolvp37eW/j2fIGoNhBRfQOSyu+n68q9nvzH4ZZ4Kg4WQosX0bHhl+AkXRLTxWbS99Ut/1apCSfqUK7HFT6ala5Cn3jhARqKFiTnRrN5cjU6r5JYLx/Hse4e4ZlE2E3Oj2Xu8jehwAwWZkcRHGqlp7OfltcdxuX3otUpuvnAsz9w3k8Z2KwqFSEfvEH/56Chdp5+/y+ekB/WxFKKA2aAOEEZLp42hoc3K3vJ2fnZjCUequzAZ1AiCX06j1SiItOjpGXDw0ifHuXd5PrXNA5RVdaFVK5g0LpboMD2P/HX3sHfz02+V8uSd04gN1Y4aQY8iYCj/r6wACjf7ydi2nqFRAmgUoxhFEP6pb56BgQHuueceHn74YXJzc/+ZTZ8XtbW1PPHEExw+fBiDwcDFF1/M/fffj1qt/tbtZFnmpZde4p133qG3t5ecnBx+8pOfkJ+f///kuM+FAGjVSvRaFQODI5M0AFa7m5wxYfgkme2nO6W2IQ+f7zrF1Quz+cUtk1izpYadR1pIijbz6XZ/x7S2eYCbLszlxKneYW0qRIHZhQnoNUpautpIiTWjVPoH9Ks3V/ODlYX86XS6Bfhny4acXswG//k9l/w5g6/21HP7JXk89caBYSXS8yYmYtCrqG7qo2RsDM2dNpxuL1PyYoiLMAaZFb+7s50fz70Z3xfPcGZQ3L1+FVEX3YO9cj+Dx7Yhe91oU8YjlCznz+vbmVWkZUK8CUXhYgyZRTibq5Ccg5jy5yH7PPRsfB11+kSsx7czuGs1kZfch3ewj4H9n+GoP46oNWAuWIA+cyIxV/8ST3cT1tJ1eHpaCClZhioyia61z+HpbkZhtBC+8HvoUgvo2+5P8TJNmIepaBED+z/Hfo5Js71iD/r0Igb2rh3x2nr72kAQEXXGQMURgCx5ibriQWyH1hM2/0Y63v815yxEctmJvvxBZFn2eyy4nfRueiOoY356ZRybXyJkya/48Uul3HHZeDYfbOSWC8fxuzcPMuT08uitkwkza2nssI4oJTkD25Abh9sbiOI9Y2SaHGumvM7v//LOugryUqf+8zWm/z9CoRBxeiXcXgmVUkSjEJH/QTrRNyEI8Nrn5RyqPEum6DRKfn7zJKoa/bKHMwNOhShw3/ICmjsHee3zE1jtbpJjTNywNJehbk/QAONcrN1Rx/yJSXywqQpBEDDp1Tzx6n6mjo/l/hUFIPglMzIMi6APM2v51coMtDWbEaRoPF2NSIO9QeTPuejf9xkxy39K+3u/JnT21RgyJ9L56XNBhsoKg4WY5T/FMG5m0DNxLjRRyeD1EDZr5WnyNhjGcTMwlywDrxdZ8qKOTsGkNeJqqURyDWGZdjmOhuNB1YH2ir3+JLArf8JgxV4MmcXIPh+iwULEou/Ru+UtnA3lWKZcgqv9FPq0fHyiiCTLbD7YRGuXHbNRzeGqrkCF4/QJcewsax3Rt0WW4cvdp5hdlMhnpyW3WrUCt8d/ftVKv3H65ztqWTg5mbT4EH56Qwlf7Kpjw/5GHC4v49LCuXRWOp9urwtKfDxc2cmM/Dg2H2zmydcPkBxj4gcrC1m3t4Fn3z0UOJ5XPisnOkzPA9cUceJUDx9uquIHK4tQKQUE/rMkAIIo4vJJAQmPVikGCGdZEKhqHmDq+NhhPmXgvxZ3Xj6BbYeaWLevEbvDQ3qChRuW5nDbpXnY7G6aOwfPm/oFDCNQc1LCaO4aZNuhFqZPiEOWZY7UdPO9RSlQ+s6IbUjOQbyNx3hnv4E+m5Pnbs3F9unTtPedneBQWqKJXHoXtvLtgMxQzSGMudMw5ExF1OhwdzfT+cmzQT5xpsJFqCxRKAwhmPPnYq/ah7ulJiCh9g0OYJl6BcrwREy5UwAB2e0kYsltyLJM7+Y38fZ3EDrjSlrffCRQReez9dL91d/QpRYQNvtqeje/Afif8ajLHkAGdGMmYMiZGvQsCko1kRfdi7Vsw1nJss/L0M53CVkWG0gh9XglBFHA7ZVwD7pxuLzkjgnnra8rMOhUFGRFYtCq2Li/keuX5nKwooPf3T0dr0+mrcfOtkPNbC9rYWFJMs++VxoUajAxN5oxcSF8dE5a2MqFWfTZnKxcmEVmUqjfp/D0d81i0hATpsdqd9Pd7+RH1xTS1DlIc+cgJWOjSYgy0tFj57MddWQlh+Hx+vh6zynGpUWc99385tcn+dGKgm8R0Y3ivwVn3u//SgLIqFOhVom09djJz4j4l+1nFKMYxb8f/qlvHo/Hw/79+xkYOH8iyT8TAwMD3HDDDaSkpPDnP/+Zjo4OnnrqKZxOJ7/4xS++dduXXnqJ5557jgceeICsrCzefvttbr75Zj799FMSExP/nxz/GRg0ChZNSqa2dYCclLCApOMMpo6PZXZhIhqViEatpLvfQWy4AfAPKBeUJPP2+gqykkJZsTATtVKBSily4EQ7rd12eq1OapoGuO2Scbz+xclAhKrZoOZ7F4/jvfUVWMx+c8s/vHMoMFNQUd/HR1IN968owO70YLO7iYswYtSpiAzVnTdZqqvPwdqddTx970w+3FRFRX0fFpOG+SVJhJu19FmdZCaHUd86QEvnIBMyIhkYdHHiVE9QO7UtVt47pmXF5Y8iH/4Eb+cplOYIeq0uOuIWok6YhyjItDoFxoTEcs2SCE61WXEJOkJjU2l/7zecrab4CnXMGKKv+DE+rxNvUzkxVz+Co6Ecd8cp1JFJWKZfATL0bX+f/t0fAf6y+9AZV+HqrEepD6H7ixfRpuRhLlyIOioF2edBUGuwTLscn8OG0hSOz9Y74kBXUGsCEq+R4OlpQWmOwH2GABJERI0eT3czqtAoJIeNqMt+RPeXf0Nynl5Hho41T/uPNTKJiEW34LP1jNi+7HZiYhClQmD3sVZuvmgcXp+EQatial4cBys6yE4OJT8zkpauQTYdGDn2Ojs5lPAQLdcsymbtjlpsQx4sRg2RFh2tp43CewaceHwySsV/RldXEgT2n+jgnfWVWO1ulAqR2YUJLJ+fgeL/UFujUIp8trM+iPwBvxnkoy/v5cfXFzEm3m+C3mdzccXcDHYfaw2SbjW023hs1T7uXZ4/Ykw4+CPEF05K9u9TIVDT3E9eWgQ7y1rZWXbWZ2pOUSILJyWzfl89RVmRXDwxnPQ4E1JfC2LeNGSvG6UpHFf7cP+UM/DZekAUiVh6J4JCSc/mt4elafns/bR/+BSxV/8SR/XBYdU9IZMuZPDkbmSPG3PhQhR6c9By0/i5mCcuoW/7+34TeFlCYQondMZVRK/8Oe1vP4YmNu0bPlwCoTOuRBWRyMDBL5DdTjy9cWiiU4m97nF81m6c9ccA6N/9EVGX/ABb+U4EUUlS4TLMk5M5WtPNq5+fCAwiE6KMXD43gze+DE5C02mUeLw+vD6ZU61WJubGAP5KqqzkUG5YmoNKpcCgVbH5YCMWo4aclDBeXHOEyoY+Jo2N4aHrJxIdpmfb4Wae++DwMAK2vWeI2y7J43BlF302Fw3tNh59eS8PXVeM2ahma6m/qmHq+FjmFiUy5PSiVSu5elEOf3zvMI/eNhmd+j+nAsgnCHywsYotpc14fRJmg5qrF2ZRnB2FKMsMDHn47ZsHeeDaItITLNQ09wdtf9eVE3jls+McqT5r/lvT3M8v/r6Hh6+fSFSojiGHhxDjt08kKZX+95vZoCYrOZQBu5vqpj5kWQ5U3CZFanEfOr8EW9VVTWzENB66PA37uuf9kwHn7sMShezzEFK4CEQRbfI4era8hc/aTfTlD9K74dVhbdoOrSNiye2Ezb0OV2s1xuyptB1chyosjrD5N+DuOMXg8e0Yx06nZ8OruJor/ccSmUjorJVELP0+0mC//9kf4f3mqDuMZeqlRCy7C4UhBJUlGu+QFdnrpu3dRzHnzydm+c9wdzchqnUojBZcnY0ojZZhbbn2reZ7i+7i0bfKaWi3cuPSXATBv9tVa49z7/ICCjIj2XqomZOnepmYG82Ny3JZtbac+jYr2SlhRJi1dPYOceCEX9Lq9foT3gaH3MjIxIYb0euUvP3lSUJNWqLCdCyenOIP0tCqUCvd/PrVfYEJK5NeRVuPHVEhcumsNJweiSde2ReUhKnX+on7ZdNTiQrT4fH6/X5qm/sDx/9NnGq14pPl/6iJkVH838E25EanUaAQ/3V9JEEQCDdraRthonYUoxjFfzf+rb9D7733Hna7neeffx6LxQKAz+fj0Ucf5fbbbyc6emTZgcvl4m9/+xs333wzN954IwBFRUUsXryYVatW8atf/er/zQ84DafTy7ySJErfOMDSaWPYUtocqLi5cVkug0Mennm7NEDcpMaHcO/yfLYfbiEuwp9mUXqyk9KTnbyzzt+RCzWpueeqArr6HGw73MyQ00NkaDi/+N4kPF4JnyTj9Uqs3lwdGET2DjhYNDmJyFB9oANT1djHk68fwGxQo1UraO0aZOXCLD7ZVkuk5fymotWN/YgCXDkvA4/Hn4K093gbf//YP+i6aVkuOWPC2HigiS2HmslKCqVkbMywdraUdXKgso+lJRewdHksjd0uJK+LaLUd+f9j77zjq6rv//88d++bvRMyGElICCSEvfcQBAHFvbWuVmur1lrrqqvD1rZW696IiiiiAgKyZ0IIEDIge++79z2/Py5cuCTx+21/tl9t83o8ePDIuWef8znnfF6f1/v1cloRtZF02fy4PT4EBDISjBgFG50b/8aFpTTu1hq8NhPO2mMYxi6g7YOnEH2BURgHxahSc+n4/K/BUjE4Ew3/6Z+Iv/oxure/R9xlv8TZUI6lZCuCXIkuewo+SzcSXTia4YV0bvwbYh/1zRn4/QhyVR9vk7OQGSLxnbdt/Zi5iB437eufI2b5T+na+hYSpZroJXfS9uEzqIfmI8gVRC+9C5kxBlfzKfyegRVkwJmv0oAnyeGTbUwfnUhBVgwHTrQiIKBSyMhMjUAiEYiL1PRReAkCXLUgi16Li6KKNn521Vg+3XGK1fMy2bSvNjifRiVD9i/8sPl3QiqTsP94K39ffzw4zevz8/Whelq7bNx92ej/ld+R0+Pny739JzW5PD5aOu3sP9bMXZeOprK+h+y0yOBo9IV458tyrlqYSdUHJX1+iw5T02t1kZsRRWV9D5/trOb+a8Zi1CnYfbQZv19ELpMQF6FmWWEE1xbKEZ1W5BFaHNVFdO94P5jyo0rLQ58zbcBjkig1uNvr8TusqFKycJzq33PFZwmoiOKvfgLrse04GyuRao3osifjbq/DcmADEbOuwVy8GXlkAuq0UThqSgEBw7jFtH38u5COsc/SRecXfyNm2T2ET12Fq7kqZHthky/Ba+4K8R2yVx1GHpFA1EV3IFGq0QwtwH5mfy3HvkGVko3fYcVWfZR3KsJRyKU8ddtk7C4vLrePtm47n++uJjpMg0QicOm0JKYM1yOxdYJCQ4dbxdfHzZgsrmBC3OsbTtDUYWXBhCGMGBLBJTOH8cHmCl76pJT8EbH0WFzMmzCEIxXt2JxeCkbEhCh/IEAuXDF/BH/5sIT7rynk2OlOisvb0ahktHbbSYs3MHxZLhqlDLvLS0lVO5/vrsVsCygoBCGgMv3f+lV93+ETBP70QQnHq88R3Wabmxc/OcbNF+cwfXQ8n38duB/++uFRblsxCovNzb7jgftnRn4S8VG6EPLnLOIitGw73EDesGhEIdCBijCo6Db3fWYPTwmnttnM0KQwrlqQya6SZsL1Cq5akIUoElTJdls8RBmj+pQtB4/HEM/i3DQiFCZaWkLJVsPYhcjDYunY8Gf8ThuCUoOxcDGxy+/B57RhPbZjwPNkKfma6Ivvxh9hR/S4iJx/I4qYFFreewy/3Uzc6l/StvbJEELW09FA+7rfE3/Fw3TveA95eByxK36OuXgT9qrQUA9b5UF81l4cp4tBIiFy7o1IwuPw2y307v0EhE+RGSKRhcdiyJuDIiIBITrlTLsrxnz4K0DE29NKepwGnVoeCI0oauDW5aN4cV0pbq+f371bxLDkMBZPTiNvWDRbDtbx6Cvn0rdiwjV88HUlk3LjeeyWiWzaX0eX2UFlfQ8FWTGs23aKI5XtqJUyHrllImqFDK/Xh8crEmlU8fH2U5RUhpLyy6YPZcvBekqrOvnjPdP5y4clIeQPgFIuPaPGbgwmM8qkEhZNSuX2FXn89aOjfa5JdLg6UOb7H9IWB/HPw2L3/Ev9f84iQq+kuWvg8JRBDGIQ/534QRNAO3fuZOLEiUHyB2DhwoX8+te/Zs+ePVxyySX9LldcXIzVamXhwoXBaQqFgrlz57Jly5Z/9W73C1H0c9HUdGQS+NWN43lvU/kZPwj4aFto56a6ycSjL+/nl9ePo67V0mdEev6EIUzIiae6yUR0uJrbVoyi1+KipLKDKXmJtNns1LaYMOqUXDZ3OJ98c5oT1V0cLGvj8nmZtPfYuPniXPaWNlNW243fL2Kxu5ldOJTJo+Jxur2smj2cyDAVGpWs32SpBRNT+Xj7KXaeiR6XCIFpNy4dicPtRa9RcN+fz6V01bdaGDMiBoNW0edDy+rw0OsSKGl0My4Ruj7+A+7zSlKGDiukR7eKX755gvREI/fkdXEh+XMWvt42NGl5dG15PUj+ACji0nG314WQP+cujp/e3R8ROfc62j58OuhJBAGfhIAiaD7W0u2Ifh+CVN7vtm0n96EfNQNz0Vd9fpOotEh14QEySa3DMHYR6iE5eC2BTorpwGcYRs+hZ+canPVlxF76C3y2Hjo/f4GwySvo3vYOrqYKopfchVQb1q/SSJApsEn1eH1+xo+MIzlWzzNvHw4xsTzV2EtagoHVc0fwo0tGsflAHQeOt+LziwyJ07N63ggcbi/NHTasdg8vrSvlrstG8+5XAQXaWVw0OQ2VXBJM9Pkhw+nx8/7min5/O17dhdnuIUzd/6NUEATkcgmiGCB6B4p8hoBPRHKsgS/31RJpVNLyLR9t3WbngNLxBZNSOVTWysrZw/jt24cRhABhdcmMoSyfMRSLzY1KISFV0UP7uw+hiE7BOGk5rtbTdF2gJnDWHMVYuAhBoeo3+lmfNxv7qSL0OdPwWXsZqN0BeE2deM1duNvrUCUOx++y0fnVyyCRoMmejCw8lu5tbyFI5URf/OOA15epC093Sx9VxFn07FpLzLK7g0QOgCBXoYxLDyrjzoenuxnbiZ14zd3oRk7Fa+7E3V6Hz9KNzBCFvbUGsb2OMPVCvjjQyM4jTdy9egzrd5ymusmETCrhl9ePY3yGhoS6L3F/tJOzVzRSG8aPLrmffc0yHr5xAl/tr+PImY7lW1+W88d7piOXCWSnR1LV0Evu0EhGDYviyTcOYrK6UcqlRBpV/P7HUzlS2UFti5mc9EiiwtS88FEpTR1WHn5pL4/dOhGr3Y3L7ePNjWUh3m6Bfa2my3TuWo3NjEWQCIj/Ib4jFrsnhPw5H+9vrmBsVgztPQFSw+Hy8of3ikmK0TFmRAwApxp6QxKdACZlR3HZlFjk3TXgbiUsNZKydpHoMBUPXDuWx145ELJMdJiaO1bm0W12IggCz68tYdzIOGIj1Hyxp5bstAgMOgUJUVo+PdTBfZOWwraX+u6wRIo2exJFFZ1kJIWS7VJDFMrE4XR8+icgEBYQNvFizIe/wnTwcwwFC0LeRRfCa+1B9PuwFG3CUXsU44SLsZRux283o0oZiaOurH+vLb8P86EvUcamYSn5GtvJfUQvvQuvqSOQfnl21xUqXObO4Do6PvsTcVf8GqnWGDC6Fv1IdREYCxbS8eVL571bBXSjZhC18BY6v3wJeWQilU02Zo1N5rNd1eg0CsL1Sv700xnsKG6ky+QIBmA89OLeEDIuKkyFyeqivLab8tputGo5F09L56IpaRypaMdkCZCgfjFQqtxrdnLvaweBgHLv8VsnkhZvoKKuB4fLS6RRxfLpQzHb3ZSeIQgPlrWhVfV9p1+9KIsXPjoaVL1C4Dn72a5qVswcSmF2bFCRdBaXzh6GQiKcSY4cxH8zLHbPv7T86ywiDSoOlbcH/NG+xRNtEIMYxH8XvtOnj0qlYvny5cTExHyXqx0Q1dXVrFixImSawWAgOjqa6ur+Y8/PLgeQnp4eMj0jI4M333wTp9OJSjVwksW/Ai63j72lLVy/JJuKuh6WTcsgJkLDIy/v73f+HouLLrOTrNTwkBHjlbOG4fOLPHpBjPzqOcOYOTaZ5z84QmV9b3C6Ui7lrstGA9DUYUVExOn2UdNsIjstgkvnDGf74QbyhkdTXtfNz57fBQRGPy+ZkcEjN0/kN68fCClZmJgbz/DkMH6741ytvV+EL/bWcvfqMeQNi+bnZ9ZzPt7fXMFPr8jn+Q9KQj7yCkZEs2r2sMCo/9rH8VlDPR2cVYcIV4cxY/QY2k1eBGc/JM4ZuDvqUSYM6/PhrIhK6qMiOB+u5ir8dnO/H9zO2mMYxsxF9It4OptQxqZxZsw9ZD5b5UHiVv8Sr7kLe9W5aGip1kjsqgcQBQnxVz+BRKHC0XAS06GNyMPj0I+ejSCVoUwYBoC1bDeqlJF0bvwbMmMMoteFqylAUJiLviRi5pV0fP5Cn+0rplzNmv3tpMYbSInTU1Xf2yfBBAIydYvdTXuPh6l5iSyZko7b66eh1YxGKePVz04wZXQicwpTeGNjGSarG7lUgtMdIAKn5CUwb/yQ/wjyBwJRwReqMs5HQ7sF3ZAIHC4vSoUUlUyC3+fHJwi09TjYc7QZpULC/AmpxISrg4bA52PuuBQm5cZTXN5GRpKR9AQDXaZvV3PFRmhQK2VBtaBEgIumpJOdFsHoYdEcONHKFQsyiTKqOVLZhlopZ/03pxg3Mo57lyTT+uYTqJJGoM0cj7u1FsuRzf1ux1q2l/jVv6L1o2dCCFLNiHEo4tNRKTV0fPEikXOu/VaFmzI+A6RSJCotglSKs/kUEbOuQpAr8bsc2MoCniGiz0P7J8+hGV5I+PTLsB3v+6w4i7OGtcq4jOA09ZCRwaSjfo/nxB4iZl9D9/Z3CZuygs4vXkQZn4E8PB575SGUw8djtwfuXb9f5M2NZVwxP5M/ry0JxLx3WhgvHsV8MrTM02frpWvt42Que4wfv7ifC/mW+jYLWpWMrw/WkxSj42RNN3VtFkxWN5fMHEpWagRHKtrZuLeW/BExjB8ZR7fJwfMfHg2a2Lq9fjbtr2NYSjhvbDgRjK6WSARWzRqGVCJw88W5wWklle3MKUzh+KlOJufGD3hOvq+QySR4/SCVBOLhJRKBhvb+S48hMFjgcvvIzYji+OlzJFHjGe8WgKVT09Gpz3XoZ+RFc3m2G+e6B/Gc8dHp2A3JGQUY0m5BrVDzp3tnYLN7aOywIJMEIsMff20/nb3n7vUZ+UlIJAIvfFzKiZou7r9mLPdfU8jTbx6iwpvIiLwFuI9u4uxzWVCoiF5+L6fNMmw2B4JMjjojH3l4LD6bCXl0CuZDXwABjx3j+CW0fvgM+ALt3dVUgTJxBI6avkoTAGX8UFxNFajTcjEULkCi1JwLDIhK6hMBfz6cLacIG3dR4A/RH0jdm7rqjLI2AM3QAnr3rg9ZrnfPOnQ50zEdCHjdhU2+hPZ1vw8JLwARa+l25OGxKJNGwKglrNneyA1Lcxg9PJojFR1Y7G6+2lvD6nkjiArX0GNx8vqGspDvgujwAAn34rrS4DSbw8MXe2opyIwlIVpHUXkbWWmR3Lh0JDKphL+vPxac1+Hyct+fd/HsXVMZMSQcELCciaGvPM83qtfiCibyBY9dJUMhl4aQP+fjy3213LkqL0gASQS4eHoG6QlG/P+gb9wg/jMRKAH71xNAUWFqHG4fPRYXEYZ/b79mEIMYxPcX/9DTp7k54B+RkJAQ8vf5uOuuu/r8dnb+7xpmsxmDwdBnutFo/FYfIrPZjEKhQKlUhkw3GAyIoojJZPr/IoBksn/cbFMmBpQ7tc1mthyo59jpTh64prBf6flZnGroJS3OSG5GJEerOtFr5KQnGnn27cN95m3pdrBhV3UI+QOB0pPn1xzhgWvHIpFI+O3bRSHKgw+3VfHjS8cwJE7P82tLgtMr63t4+q3DpMTpefTmiTR32nB7fAyJM9BldvD0m4f6dIAAPt5WxY1Lc4LlbOejoc3CK58e55GbJmCxu+kwOUiLN2K2uejsdWCwtPUhf4LHceIbrrtuCSc7BPRqHV3FG/qdz2vqQJD19XXwOa3IDAOb5Em1Ybi7+qbBnIWt/AD6sQuwHNmM9eRewqasvMCTBCRqHYigTBiKIX8uXnMnEpUOiUqH5cRuXPUnQBRxdzQg1YUTd+mDAcVC+X58dhPyqFZiV/ycrm/exWcLnAd1ai6286T5ruZT2A3RxF76AJajW/F0NCALj0c7fjlmeRTzIkSiwtW0d9nZe6x/VQXAtsMN3LIsh8921dDebWf4kHBmF6bQ3mUjKkxNcqwOu9PDsOQwuk1Oblg6km6Tg3njU9AqZUgFQlJmBjyvUknI/98V/pk2OBAUfkKivAsyY5g3fgiiGJgeG6GmqrGHbpMLiUQgPlJLWqKBFz44wpHKTmRSCfdemc83RY1cMnNYSIcFYHZhCkkxOkqqOoiJ1LLnaDM7ipu4dnFWMIXvQowaFoXL7ePZu6bS0WvHYnUTHa7B6fbS0eNg2+EGlk3PwOrw4POJzBqbgk4lZ2pePFqlFE9LCX6nFcPYBbR+8BQxy+/Ba+kibOoqlPFDEb0eJHIFrvY61BkFiF43casewGc347MG1DLOhnLMxZsxjF1E1IKbAYG4yx7E3VGPad+neM3nVHqq1FEgldHx5Yu4z/iNxF72S0z71+OsO4Eudwai9zzCS/RjrziAz9aLbuTUAa+NoNQg+nw4GsoIn355IKZeKr2gwxkK0etGkMrwmjuQqvUIUjmGggX07PkI0efBN3wmh94/19a7TE5SYvXcuSqPhCgdQwxeut/u//kiuuxIumqJDtfQ1h2qrlArZbR02VEqpOw91sLEUfGs2VLJpbOHY3W4+c3rB4Pzfn2wnuy0CO5YmcesguSQUsDtRY2YbW5+fvVYFFIJKpUMrUqOUiFl55FG1n5dhcvjCxj8FyQhl0tobLciCt9tu/jf4J/dniABm8vPV/vrKavuIjZCwyUzM5AjJTZCyy+uLcTj8/P57upg+Q0EOtoKuZQpoxNYv+N0kBw9C6lEYEJOPF5fgExCFFk1IRrnRw+eMyc+A+fpImTHd+LJnMO6b6pp7rCSlmhk3rgUmjqtIeTPnHEpHD/dSWq8AVEMkAYvrSvl8nmZXDJzKGqtAnPsIpLHLsTX04xfqqBH1NOrjWTDlxXEhyuQqPXIIxJwt1UjM0ajHTYW0/71AOhHz8a0/1Okaj2i14PfacVZX0bYpOU4G8sxjJmLRKEKlhaZj3xN2KTlmA59ge3ELiQqHfFXPRLcX7/TikwbNvB104Xhc54bHPCZO5GqdMG/jROXI8iVfcIGPJ0N6EfPAkARMwR3e/2AbdFc9BWRy37G58cceLyOYArbsulD8fv9TBiVgEwmxevz884XJxmbFcslM4bSaQp4IFrsbv72cWlIO1PIJNx9+Rh+924RLeeRMx9ureTmi3O4ZnE2T7x2bsDKL8JbX5xk3Mg4Xvn0OOkJRqblJ3Lp7KF4fVDfamZkeiR/Pu/bByBcr6LtW3xV7E4vCVE67r9mLC63j+RYPTq1nKYOK8MTDf/2FLDvqt3/q97X/8kY6JxZ7B4iDEqk/2KfxLiIgFVDS7edmB9IEtjgfTaIQfzr8Q8RQLNmzUIQBI4ePYpCoQj+/T/h5MmT//QO/tAgkQiEh2v/4eU0bi87jjTR3m0nKUbHsdOdON1e9Br5gOqD6DA1f/+0lKsWZHH89G4m5MSzY4AY+Qkj4/jDebHC58Pt9SMg8PWh+j5lJ6IIf157hKfvnMIjN03gxXWlIaNe9a0W1m0/xfIZ6ewpbeHwyTakEqFP+tdZtPfYv/VjpLHditPjw+n2Mjw5nIf/vpfOXie/vmk8ekv/SUQQUA3IRC/HTpkYNiEGeWwangvMaBEk6KdeAYh9SlocNaXErbwPS/EW+itjCZu4DHPp9gG3jyAgkciQhcdjLd2OYexCYlfeFyBvbCbU6XmoM/Jp//h3eLoaAwbPGgPq1FyMBQswjpmLMyYF+6litFmT0IwYj99uwmfrQZMxBolSTe/+z/DZzcQsvQtz8Tm1hnBBpoitfB/26hJ02ZNRj11Iqz6b+9+sICq8g9z0SDJTI4gwfjvBKQgC24sa2Xa4AQiUOm3cU8P914xl8eQhJETrae20cfXCLMxWN39ZW8LPrx5L1Lf4Qn0bDIZ/brn+8M+2wYGgcnmYlBvP7qPNLJmSToRRFZK8FKZXcs/qfLxekY+2n8Lr8zMxJ54r5mfR2H6YaWMS+aaokQMnWrlk5lBuWprDR9uq6LW6kEkF5hQmc7Sqg7ZuB299ce5Z+cbnZdyxKo/nPzgS0p6iwlSsmDmM+jYLRyraqW02M2dcCgq5FIfbS1l1F3PHpVDdZGLnkUZOnukgh+uV/OiSUUSpfSi7mlDEpeFqqgLRj89hDXh9FG1CdLtQZ4xBqtYh97jwtNUg1RhwNJ8CQcB8aGMgTUj0E3fFr7FVHMByZEswhUgekUDUolsxH/4Sn8uBIjoJTfoY2j56hshZV2MSNiL63LhbT+OsOwGAs7Ec47iL+viMuBoriJx3E0hlQeXD+TDkzwsQqXIlErWe+Ksfx1a2B1VyFtYBEsc0Gfk4G86cZ5mcuMt/hal4E/aKg2jGLmFfE31SfHosLt764iRen59XfzI6mKbUL0wthOmTQjqmcZGBNCFRFLnuomx++3YRoghqlYz0RCNPv3Woz2rKarrZd7yFqaMTyEqLoK3LztbDDVTW91BU3k5hViyZaRF8tK2KyroewvUq5oxL4coFmby24QQ+v8jWQw2YbW6umDcCpUKGRvXtpsbfJf5/2uHpxl4e+OvuYBuLDldzvLqbtzaWBa+NXiPn+iUjiTCo2FsaILPHjYyj2+LEYvNw31UFvLe5IuhxlxSj45pFWXy8vYolU9K57ZJRfFPUgKS+qA/5cxaO4o20qLLYVdLEjPwkMoeEU9dqJiFax6Wzh9LUYWf+hCE0tAcGL56+YwqZqeGYrW6aOmyIIvz1o6Okxuu5ZVku7+xuoqLejkzqZOIoLdNjFUQaVSwcAS1vPhhClsgjE5GHxeJur0edkY8qKRNPTysShRKJSofp4EZsFQcJn7yCjg1/DpRdEVAWRcy6BlfLKTRpufhsJkS3A093C/LoFDwd9dirioi5+CdYT/SvrtPnzaJ336ch0wS5Cu3IKeiypyBI5TjqjmMYuxDz4S+D88jCYpBHJqLNmoTfZcdrah/wGvusvXR5lLy7vZI7V+XhdPsw6pQ89up+vF4/y2ZkoJBKaGi3sGzGUJ7/oIReqwudWs4lM4ey5UB9H5J16pgkth9uCCF/zuKVz47z2C0TeeTmiWw5UBf0WmztspGTHskf7p6GyepCKZex5UAdJ2q6MOqUJMXquHNVHg//fV9wUMtkdX3ru04pl9LSaeP5tSXIpAIWu4f4SC0P3zgeo/Hf2wn/rt+H8N2+r/9bcOE5szo9pCcZ0ev/tedSp1OhUkjpMLu+8/vgX43B+2wQg/jX4R8igJ588skznhbykL//r2AwGLBY+srBTSYTRqPxW5dzu924XK4QFZDZbEYQhG9d9n+C3y9iNv/jjvsSmZRei5MdR5p49JYJbNpfy/aiRpZNH8rbX/Yl0LQqGWF6FYdPtrNsegYPXFtIa5ctJOUnBMK5uO7+oFHL2VfavyLEL8KxU10Ulbfxo0tG8dirB0Kio7vNTlq6HHy07RRpCQam5CUC/atlkmL0hOmUKBXSkIjWs4gwqGjusFJe182ssUrOqaUFhLCBlWSCUkOPI1DjfM+LJTx9/Y/Rlm/BXroV0eNCGZ+Bcuo17KyXMic3nMhZ19D51d/PrcDnxXpiD1GLbg34kpwXqasdOQVZZCLKmFRc9WX9bB102ZPw2U3EXfoLTPvXYznyNZaj2zGOW4KhcBGW0h14izchC4/B09WIVKMneskd2Mr307LmcUSvB83QAsKnrsLndNC7+yNsZec8kgSFiuhFt2Eu+Rpb1SGkhigQJDhqSgmbsiLEAwVAdDuwlHyNcepltPvd/ObyVGg8BmIrKu0Yelw+5hQm8/em/pVys8cmI5NJSIrRBUsnXG4fb3xexpXzM/nx778BAuVey6YPpcfiYldJE7PzE/4hfwOpVILBoMZsdgQjnP9/P1L+2TY4ENx+WDw5DZvTw4gh4fzu3dBz3Wtx8fhr+3nohvE0tVvwi7Dum1PsONLIXatG4xdFPt4eKLdYt/0U2WkRXHdRNkqFFKNOSUVdN2kJxmDU+Fkcr+5CLpPwm9smc6K6i7ZuO0OTwshINPKXD4+ybHoGPr/IjRfnsH7Had7bVI5Oo2DBxFTiIrWE6ZUMiTPw6Kv7yEgMIyZcxee7a7j/siwkrmQkjRV4z3QaEf3YTx/BMGYOrrY6PO11tG5/5xzpIkgwFi4KlHfsXQeiH1VqLq6mSiwXeFrJIxMAAXVGPj5rD6rkTLzmLnw2E+2f/onYlT/H3V6P5ei24DLenlYkSs0Z1UBoYlLvgU+JXXk/7R//NqSDrEobjWZYIS1v/wpEP4bxS5FHJqKIH4ZEY0CZMKxPWaegUKPPn0vbR88iM8YgM8ZgPbEbiVxF3OqHOG3X89obJ0KWiQ5T43R5gt5k7SYPUn3EgP4r0ph0Ovada1fheiV3XToav1+kyyTwxZ4afnn9ONweH5fOHsaBEwMr8bYcqCfSoOb5tUeIMqpZOi2daxdlIZUKuD1+fvanXcFncXuPg4r6HuaNH8LF09L5dGeg1PlQWRvXLMzCbnfh9fzvy0/+r9qhxw9/XHMkSP5oVDIm5yXwxGsHQ+az2D38ZW0Jv7pxAgXQEhUAAQAASURBVEUn20mM0TF/QiqPvnKAURlRjMkMlNGtmj0cURSJidDwu3eKsNjd2JweiivaufHiHGRHjzGQXsxnMxGhV/DAtYV8ubeG594vRiaVMCUvkUtmDmXjnhpeWn+M21eM4nd3TaXH4iIrNZJwvZLEaB0SCaTE6blhSQ5PvXkoZDCnor6HqvoebpiTjPPTJ/ooZayl2zFOWAqiiPXoNixHtwZ/E+RKoubfgiwsmpb3HgtR4ohuJ11f/Z2Y5T/F77QTPmUF9qoivJZuoubfRMu7jyB6nNirSwifcQU9O9aEEGD60bPxu514e8/518iM0YCIIFcFSs+SMpEoNWgyxgQGI868L43jliC6XSgSR6BJycbdUR8gh/uBLDye060OZuYnkRyrp9vkRCIIzClMYdSwKHRqOdsON2C1e9h99Ci3LMul1+qiuslEmFbJzLFJvPNlecg6x2bG8Pv3+jeiF8VAsmlGkhGrw8MD1xby5sYyoowqFHIpG3adpjA7jkde3hcsrWzvcfDs20XMLEjikZsn8ue1JXT0OlDIpcRHaQc0CJ85Npk9x5pDFGgtXTa+PlTP8mlp+P+X78jvosP+Xb4P+3tfD+Lb0d85E0URs82NVACLpW9J+HeNKKOaqroeenp+GGbQ37f77IdGnA1iEP8b/EME0IWmygOZLP+7kJ6e3sfrx2Kx0NHR0cff58LlAGpqasjMzAxOr66uJiEh4f/b/8f7T3ifeLx+0hPD8Prq2Li7hvuuHsvza0u4celImjqsfFPUEBx9ijSquGNlXlAt4HD5+NvHpVyzKIvcoVFU1PctkzLb3MRG9C1LOIuziRYDwe704PH6+aa4kcmj4tlx5BzBM2pYFF6fjztX5fHVvjrSE41o1XJsjr7KpSsXZPLx9iquXZQdUo8PgZGq6y7KDhquFpe3c+vyXJ568xCHTrYxK9uIJioJT2dflZNizEW8vq2ZBZMz+HxPDXf8tYSVM8ex9LpF+P1+fIKCk7XdjBFO0vrmenQjpxJ98d2Yi77E09WMPCIebfYkfJYeYlfeh7enDb/HhSImBWdDOS3vPUrSdU8Fkk/Moekx6vTReM2ddG1+DVlUMjFL7kSdkY9EqUFmjKZnz8fIdGFItWFIdRE4ThUTOe8mOje9irfnXMS3vfIgjppS4q96BHvlmc6ORAoIiG4n7Rv+TMLVT+Cz9SJV69CNGI+rvRYkUlRDcnDWHQ/ZL1l4HLrhYxlRugPr158Hp3sOrMUwajbTJ13Kpv166lpDSdShSWHIZBI+2FLJ6nnDOXiijV0lgetd32pBEIQgmbi9qJHiinbuXp3Pa58dZ8LI2H/KWMzn8/9T7WYgfFfrEqQSPtpWxa6SJh68bhzvbirvdz6vT6SovJ28Mx4WECgdOlrVwaRRod4rNc1mGtutZKYGTLO1agVHq/pXtx2p7KCspptfXDeWY6c7Kans4MalOSTH6jhZ282cwhSeeuNg8NlgtrlZ+3Ulx051Mj0/EYfDzVs/zcd8Yi90ViMZmY7Ml4oQlRwkRi2AIioZRVQSrWufIebiH9P24dPndkIS8L8wHfwcZeJwYi/9Be3rn0OfO52urW+F7K9m2Fg0Qwto/eA3IZ1KRVw6Mcvupu2jZ3HWl6GIy+hjQNu1+VWil9yJs7ECV/MpVMlZARVEbCqejgYSb3gWd3s9PocZRXQKPrsZiUIdSAyrLkE7YlzADL2xHEGuInrJHXg6G7GUfoPf7UCTlodu1Ay6t72D6PMRMfNKOj//K8qkTNRpeSCREqX2c/eyDN7b0Ux7jwOpROD6JSOJClMFDeo/PdzF9VNX0/3FC32ul1QfgTw6mRuWJtHaaSM6XINEAn9Ze5RrFmfx7qZy7lo1mqffOoReo+DhG8f3m0Z1Fg6XF4/XhyhCR6+DVz87wdxxKSyYOISXPjkWQsSfxeYDdfz6pgls2F0TLDXpNDkxqmXfaRv73+Cf2Z7d46e25ZzX1JS8RL4+WN/vvH4RdpcEBk3qWiz87p3DuNw+Dp1sY3ZhCu9tKmdqXiKF2bHYnR6uX5JNXauZ1m47+461UNNs4snFuXAeuXI+5AlDURt1PPSXQ8HOvNfn4+tD9ZSe6uBXN45n2phENCoZT7x2MOT9qpRL+dWN43no+nG8+1V5v0reoTFyDBI71vPeA2fh6W5BHpWMu6U6hPwBEL0erJUHkYfH9CnDOgtBocZWsjXEI0idkU/81Y9h2rceW/k+dLnTSbz+Kdwdjfi9bpRxaViP76L7/HYtkRK16EeYD30RHGhQJgwlasEt2CoOoIhNxdNej3HSMtxt1ZiPbCHu0gfp3bceXfYkJBpDv+EK2imXkx6ThDHKyQN/3Y1GKWNocjg+v58v99UyMj2SaaMTsdjd7D3WwtNvHSI2QkNCtJYNu3u5fP4IEqN1NHWcK1UThIHVxwB2l4eOXgeN7VaefvMQD1xbiFYpo63bjkGr5KNtVUHy53xsL2pkRn4Sl84Zjk4T+Lb5bOdpfnZlAX9eWxKinJ6cl0BuRiS/f6+v4nrroQbmj0/5t6evfNft/rt+X/834PxzFniu+1HJpf8WQ/Aoo4q6NssP7poN3meDGMS/Dj/oFLBp06bx4osvhngBffXVV0gkEiZPnjzgcvn5+eh0Or788ssgAeTxeNi8eTPTpg0cefyvhNvrR6OSERuhYe+xFoYlG3n6jilAIFFp9thkTDY3Bq2C9h47r352Ivjhc7K2m5Q4Pc9/cIRf3zyRL/bW9Enm2naonqsXZvVRLwCkJRhwuX2kxhtCPrzPx/CUcL7YW0tLp43rLsoOEkBatZzRw2PYsKuaqoYeZhYk43C6eeSmCfzlw5IguaDXyLl6YRZWu5vtRY1IJAK/vH4cO4obaemykRJrYPqYRD7fU0P1GVVKe4+DXouL7LQINu2rpWDEOJIueYDeTS/hqguQR4JMgWL0Ik6pczlwsor87Hgev2UiLo+PulYLN/+pGLvTy+/vmkSapRjXgY8AMB/+AmnFfvS5MwibsAykMny2Xjq/fBEAmSEapLKAhP3M6KZfhPgrHsZ2ch/2qkMIMiW67MkgCHRuehUAb2cDvbvWIguLxXz4C2SGaKKX30P3ltcQpAr0BfNIvOWPuFurQ8ifsxA9TkwHNhA2ZSXyiITAsKXoR5ArEP1+bBX7MR/6IjharErJIXLOtcgmr8AzYjy2k/sQfR40wwoCyWadTVgPfd5nO/bSrWiGjeX2FaMoq+1h//EWJILApFHxhOmVvPBRaTBB54FrCjlR3RUc6bwwTtpkdVN6qpOMpH9eOfd9hcvrZ+vhBjxeP43t1pDOxoVo7rASZQyVLO891sK0/KTg3zq1nJ9dVcD6Haf5aFsVBq2C+68eGyxT6Q9enx+bwxsklkRRRCIRyE6L4MOtVf16bZ2s7eayOcNIEM20vfboOXVBxUFs+9cRdekviZh/E35rD9HLf4ogV9K97W00GaOxle8DAqlDxrELEf3+4D3oqD+JKjmTyDnXoYhK6tOxM+TPp3XtU31Katyt1dgrD6IdPg5PVwvaUTNRp40KibH2O220f/IcMct/iiI6BcuRLTiqS9DlTkeZOJzGl3+KVGtEolDhNXUi+jxItUbiLvsl3sLF4PfjagwQdKLHSfu636NMCuyrzBiFo76M7p0foIhNJWrhrfTseD9g/myMpmPD8/gdgWs7PCqZJ1ffxuZKH9lpkWzYXY3T5WXx5DTe31yB0+XDE5+LZuqVOA58HCwlVSQMR5h6E/e/dgKb00O4PpBQdDY9andJM3eszMPm8JCWYGTBxCGcrO1m0qgEDpzo+ywAyBsWTeUF98aWg/UsmZpOTfPAZvfVTSbiI7XB+1Wnlv9gPqT9FzxfosPUlNX0n/oFAXPtovJ2PtwaqvYqq+ni51eNZeuhep54/SB+v4hEgIm5CVw2dzhrNlfQ2mWnS56OxhiN13QhCSugnnwl6w+19/ESgsD76fDJduQyCYfK2voMrrg8Pp564yC//fE0Dl6QBgVw7ZwU5g8TED0DmL1LpAgyJaaD557f8shEwiYuR6LSIFHp6N3zUb+LKpMycTVX9TGIdpwuxtVYTuwVD6NprcHnsNK+4S+IbhfanKmohuSgHTEen7kLj6kdRcwQdDlTEaRyjBOXBQkgV/OpAAGr1BIx6xpEjxNr6TfBZ4et4iCiz03XtneIWfpjur95F3droCRbotRgnH4FzqhheL0iRp2S4cnhVNT3hBDheo2CuCgtKTJ9UGnT1m2nrduORIA9R5v51Q3jKalqZ/vhRqRSgQijioxEI6cHULYOTwnH7vBgtrlwuLzsLmli6bR0Dp5sIyPRGOK1dSHK63ooKm+jsr4XiUDQS+qGJSNRqwLkqlGvpLbZxB/eK+7X5ydA2PYNiBjEfxcsZ94J/aXL/SsQE66m9HQnbo8PhVz6Py8wiEEM4j8eP2gCaPXq1bz99tvccccd3HrrrbS1tfHss8+yevVqYmNjg/Nde+21NDc3ByPelUolt956K3/+85+JiIhg+PDhvP/++/T29nLjjTf+nxyLUi7ly3213L4yjyMV7WQkhfPx9iqOVHSgVcmZP3EIqfEGKut6eOuCkrBN+2q575pCWjptvPH5CX5+1Vg+3FpJWU2gRGF4Sjg3LB2JANxz+Rje+aqcjh4HMqmEaWMSmV2YzIuflHLZ3OH89u3DfTqUuRlRtPfYcbi8hOmUwQ+b3IwoVswcypd7a1gyJY32njj2ljaz9utKfnn9OB64tpAuUyAmt8fipK3LxqGygDpp66EG9pa28LOrCqhrNlPTYuY3bxzsU6a2/3gL1y7O4t2vKpBJBarNMnqGXcGomUrwuvFKVXxe1MXHmwMf/1JBQCoVeOzFAyHriVG66Sn6LGSaz9JN7951AMStfijE5PJ8A1uA6KV34bd00fzRM6jT8gifeRWOqsP07v80RCoPYD99hNgVP8N8+Au85g7crdX47Ba8vW04G8pQpeVhKJg/4L3gqD2GoXARre8/gegOyIPVwwpRxqVj2rc+ZF5n/XHaP/0jYZMuwXz4SzRDC0AqDUj+zV14LQN3nKwHP+NoxAqq2lxcuSCTIxXtbDlYT/15iiDxTDnTvAlDWLO5gtgITbAU5nyUVnVw+bwRKKWS74Vk97uAIAhIJQLDksMor+uho9dBYrQOk7X/0p+EaB2NbaFqKplUgt3hISVOT32rhSsWZPLWFyeDJKfZ5qa9x05BZgybD9T1t1oKs+M4dibRKNKowub0cKK6i4umpHOqsXfA/Y+Uu3B/8dc+pSWi1033Z38k+srHkUVpMe1Zh5AxBmfdCQwF83B3NqEdOQV1SjbtG/4cJDgEmYLw6ZcjD4ul6ZV7ib7ozpDRfUXMEFytpwf0U7Ge2E304ttxt9fStelVImZcjq3iQIgXV+T8GzHt/wxnw7lSS2XCUOyniwNeRdYezi8c9dlM2E8fwdPTilTTNxDA1VhO20flCAo1iTc8i9/jRDtiEt3fvIunqxndqBnBmO2z8HQ24Fv/BHNWPcHtfz0YVNnceHEOH26tZHZhCvf8rYhf3zCNqGHjkXjsiBI5LomaJ94ro6M30GbtzlCyUC4TOFnTRZfZycpZw/jDe0W09zi4/+qxJERp+yQKqRRS5o5LCTGHDu7j/0DmyKTnTMsTo3XotQp+KJ1OjUJGXKSG1jMmux29jpBS1AuRGK0Lki8SiUDmkHCUcim5GZFs2l8b9AeCAIm/p7QZj8/HJTOH8sGWSp768BTP3/orrDvfwXXqMIh+5JGJGGdfzymXkb2l/av+IPDcu3JBJq98erzPb1q1nNljkxEImE+fD6VCyry8cGx71qAdPg6pLrxPwIFMHwk+b/AZrohNJXz65XR++RI+S3cgMSwiAUdNqKk8gG7kFHoveFcEz4HLjq10O56eNhzVJQCoU0ehSh2Fr6eVtk/+gDZzApr0PDw9bbR+8CSCREr8VY+iTBwRTJy0ny7GMGY+bR//Dk9XQ8g27KcOo8uegr3yEB2f/xVj4WLkUy4FmQK/Ppbfrz9N0Zp93H/1WIbE61k4KZX5E4dQXB4g1Aqz42jtsvHQ3/bw8E3jeeqOSbR2OrC7PLR128kcEsGBEy08+Lc9pCUYWDYjg4zEMD7eXsmVCzJ54rUDfb5jRqZHYrK6iTCoggbeReXtzB2fguyMEa8gBH20+0Auk/Dzq8bS3GlDKhE4fLKNx187QHyUlktmDMXl9vH82hKuXpg1oJp6Ul4CSpmAz/vDaIuD+NfAYg+8k/8dKWAAseFq/CI0dthIT+j7nhzEIAbx34cfNAFkNBp58803efzxx7njjjvQarWsXLmSe+65J2Q+v9+PzxfqN3PzzTcjiiKvvfYa3d3dZGVl8eqrr5KcnPzvPIQg1HIJl88bwfMfFHPP5WP59cv7gh45ZpubNz4vIzcjkttX5vHWlyeRCIHR4dgIDdHhamQSgZ9enk+X2Ul1k4mrFmZh0Cgw2Vwo5VKee/8ITR1WMpKMXDp7OEPi9DjPSOXbuuzcsjwXRHj0lkm8v7mc8tpu9FoFcwpTGJoUFjSQnlGQREqsngevG0dlfQ9/eL+YmQVJvL+lgpM13czIT+LZu6ZysKyVbrOT6DA1j756AL9fJDM1nLyh0Rw6GSBMHC4vtc1mdhxpDCEdQs6LSobL7WP5jKE89eZhHr91Iqc7PLyw4RQ2h4ekGB0rZw1j0SSBr/bVkp5kBDHQ8T6/PMJts3x7MpDoR2qIQn6mxEyVnI08KhG/w4LP2ovMGEvH538FnxdPZyPu5lMhI7OhK/Mjnuch5Go+hSI6OUgUOWuOYhg9u9+PfgCJQo2rsTJI/gDosyeHehadB09XE4JChdfag+nguXQiVXIWfvvAkck+hwW9KvDh+815hs8Xoqq+h4unZSCRCFy1MJOPLhhph8B1So03/EeQP4IAXlGgudPGoZNtZKZGsHLWME419LJy1jAee/VAn2VkUgkFI2LYuDu0JHV2YTKCAD9aPoq/fVxKpEEVJH/O4qVPjvHU7VPIz4yhuDzUNFWrkrFwUipPvXEQiQBXL8xiw+5q2s8QuBfe5+cjTOnHkzEG0e/HUX0En7UXAH3+fLTZk5HJZHh7WrCWbkM9ZCSCQoWnuwVl/FA0wwqwHt+JZthYHKeK8bvsAeJo65vEX/kImqEFWI59gyF/fjDtTpk0Ar9rYD8D0eMKlCumZNO79xM67WYSrnqcnt0fYj9VjDw8DkEqCyF/ABTRKQOa1QK4mquQxwxBIh34dSb6PPh9XkwxBTz9/mkmZ85j7vRoejb8sd/5/S47vrqjpMYbgySbxebhl9eNo7iig9HDomntcfGXbVVUN5lQK2XMnzCEO1bm8auX9gb9a87H2Kw4XvqklLsuHc3ukibaz0S7l1Z1cO+VBWw+UMfOI024PT4Ks2JZMCmVt7882W8K3FkF2FmSP+Q3AVLiDLR02YiN0PDzqwqQ/IBEBwqpwJ0r83j45f34/SK7jzbx0yvyOXCitU/nXCLA9PwknnrjIHPGpTApN55jp7uwOz3ERGjYN0DS4cETbVw5P4uNu2voNju5++/HeeT661GPuwybzYVbqWbjaRtZaSrUqv7vq+zUCFZMH0KMTkLesKiQUr7UeAPXXZTNhl3VvP3lSSbnJbBpf4DgTUswcNGEJBSil+76k3jNXUTMuDLwfjnvIoleNwigjEvD1XyK8KmX0f7pnxDPlE46qkswXvYL3J1NyCPi8Nst2E8XI3rdSBSqfsuuzsJntyBRnFMrGgrmI4h+TAc2ILodWC8IPBB9XmzlB9CMGB8kgCRKLUilfcgfCLzDxDPH4rP20L39HVRpo3GNuwazSUZRRRcP3zie49VdVDb0cLrJRFO7lay0CJxuH3/96Cg2hweDVkG4XsXH206xvagRj9dPVmo4KbF6alvMdJuddJudFJW3Ex2m5rYVo9i0v47f3DaZd74q52RNF3qtglljU8hKDUciEXh/c0VwPzUqGRJBYFhyOEcq2skfEUNRef/G1aOHR9PR66DoZBtev8iojCj0GgXNnVYyUyN44K+76bW48Pr8/bZNg1bB8ukZ+H4gSrxB/OtgsQUUQJoBni3fNaLD1EgEgbo2yyABNIhBDAL4gRNAABkZGbzxxhvfOs/bb7/dZ5ogCNx6663ceuut/6I9+8fgcfuINqp54JpxvLOpvF+D5GOnu2jtsnPXqjwiw9QUlbfT0GZBJpXg9vrZsLua8roe4iI1nGrq5eoFWejUClq7bNywZCSHTrax+UAdf/3oKDq1nF/dOJ4dxY186fTw4HXjeOzVA4Trldx9+RgEBNp77Ow80hQ0sI2P1JI3LJonXj/A5LxEYsI1zCxIonBkHBt2VeMX4av9dZxqNDF/whBKqzrJz4wJjkSX1/Zw2ZwRaFWyYJLL3tJm5o8fwsv9jKACTBqVQJfZSX1zL09cl0NHWyfF5e1Bf6HGdit/XHOE2y4ZxY8uGUVxRTtjM2N59JYJfH2wnrKa7oDptFrNQMU7Un0EErkSU9GXxK74GT67NaA2sJtwNlVhHL8UAG9PoDPhtXQhj0oaYG0g1YWHqBqkWmMflZC1bA/q1Nx+k4r0+fOwle+/YKWyPp4p58Nn7kKmC8fTfa4D7m6rRZWc1ccI9yyExBxONDrPEGn6Addt0ClRyCQ8fcdkPt52qo9nEMDSqeko5RK8bv+AI6g/FHgRePrtwyFlBOu2n+K6i7JRKaXctmIUr284EZIC9pPLxtDQYQkZdR4SpycpRs9za47wqxvGc8/l+TR29D13TreP+/6yiweuLWTKqAQ27K7G7vRSmBXLlNEJfLClgtHDo1k1ezhuj5dZBclcMS+Ttm4bM/IT+fpQaAdMq5Jx/8phSE0NOCzdCFIZETOuQmqIRKYLx15dgmnPx0h0YehzphO97KcoYlMwjJmL9eQ+IufdiP10MVJdBKqIeIxjF+FsrKB765sA9O7/lLDJK3G31yFRqAifcSXK2CG42moDZYsDQBEzBJkxmu6v3wDA3VZD19a3iJx7PbrcGShiUuja/Fqf5fxOG1JtWLBECwL+JsZxi1EmDEOQSJEoNSCT07NnHfj6eq3oRk6h3izhy+IuTtZ2c7K2mxGJOpQd/ZOeALKOKmIjpnGqsTfoaZaRZMQniggIPPH6geC97nB5Wb/jNGU1XfzoklH8cc2RkHVNyImny+RAKpUQFaZm73nEROHIOB58YTcFmbH86JJRSKUCSrmUj7dV9VsaqFbKMFlcXDp7OL9953CfxLJrF2fj8/m5/+qx2F1elHIpXq8/qHL4vsPn85MQqeEPP5nGR9uqONXQi1Gr5MeXjuGVz44Hn/16jZwfXzaGvceamZ6fRGyEJoScHTM85lufRQ6Xl0dvmUhThxWr3UOXDcL0YUjDBVQKKWU1jcjlMhZNTOXFT8751UWFqXj62mx0vl6sRz/EWWzi3tFj8F80hl+8VUlbj53rl4zkT2uKWTIujsJ0DeEqkdWTC9HKRVz1x3FUrsHUpiF62d3gDwwYJP3oebymdkSvB0GuRKoNQ5ArMI5bQvc37+E1dQTJHwi0J0GuQjVkJK6GMqT6SGIuuRdb1WGkWiOqlOygwudCqFKyMR/6AgikewlyZSAowtRB2NRVKOOHBvZDJsdRU4q5aBPutpqAwvQMtFmTaPvomX7XrxyziDZlErol6YgOM2FJqVj8GnpsAm6fl6sXZmLUKfF6/RRXtHPt4myefONgnxCLH10yimffLgopvT1Z28NvXj/Ig9eN43SjKahI7eh1UF7bg83h4Q/vFXPbilFELc/F4/Vjdbix2j18tK0qpHRy4aRUwg0qDp9sQ6OSsXRaBlUNvX1UrpfOGU51k4m/fHiupO6LPTVMzI3nygWZ1Lea6bUESvle+fQ4d106mrFZsew80oTT7WV8dhwLJ6ehkQk/mFLMQfzrYLa7EQDNv0kBJJNKiApTUddqBhL/LdscxCAG8f3GD54A+k+BKAQ+DFweH0cGGIECKK/tJicjksdePRAsAyip7OCLfbXctWo0Zpub5g4bl8/L5E9rjgQNoSUSgeljkrj7sjH8cU0xVoeHv31cyhM/msS+Yy3Ut1q4ckEm735VzqOvHOCGi0ai08hRKqSMGhrF5LwERqZHsr2ogbsvz+frg/UcO9VJfJSWnAwvCyam8sXeWgBONfayTJVBTYuJ8TlxIfv/5sYy7r2ygHc3lXO60cTpJhO3XjKK3Iwojp0ONUOdMy4Fi83N9OEqMrtLEbcfIlWu5L5Js2lXZfLkB5VBw8a1Wyu5e/UY9mxrIUKvpKGpm0vGRXLT3CTqesGOiDIpC1dj30Q147iL8HS3IteF0/TqfUGlkDwinsi519PxxYsYCxagzZwQIGZ8XtwdDQHz2X7k92GTLsEcTD4RUA8ZienAhgvmElGnje5DACmTMlEPyQmOsp4/vyBTDKhikkfEIQuPxdN97gPaUXuM8OmrsRzdhv+CchRBoULMnMW+l04giiKrZg/nq301TB2dSE56FF6/n4Mn2jhY1srF0zKIClPT2etA0k/q3+RRCcRHatmwu4bxI+MI1yno15jmBwCpVMKG3TX9eki88XkZz/90BpV1PdxzeT4QaFc2h4e3vzzJZXOHM398Cq3dDgqzYwnTK/nTB0ewOTy8ubGMIXEGhqeE9btdj9fPk68f5NGbJzJ9TBJymYSOXgfhBhVXLsjiaFUnOo2MX714CJlUwujh0czIT+KSGUORSSVsPlAXPOUPXzEC/b4X6WirCa5fNSQHuSKRlnd/HYyLBrAd20H49NX47L2oUnPRDCugc8vrhI1bgu3kXmwndiFR6zHkzyNu9UO0fvAk3p5WpCoNXms3UoUGzdACWt59GL/DStSiH6GITcXdVtvnGCNmXR1QnY2ZizwyAeuJ3Xg6G3A2lNG16RWiL/5Jv+fGemIX+rxZQWNaiVJDzPJ76N33Kb27z3qgCGizJpJ47W9oeuPBEGNceUR8ILpa7gt20gBae1xkGKPxdPWfWOg1JtLbGph/5cyhyOUSymq7QRT5ZMfpfsmFyvperlmk4vYVo9h9tBmlXMrkvASsDg/7Spt55KYJSIRzPloKmQSr3YPL42fvsZYgMRSmV3L3ZWOob7Ngsp5r8zKpwD2X5xMdrqa8rpuHbhjP0aoOjld3Ea5XMXV0ImXVnXy6sxqb08O47DiyUsPRquX43P2bBX8v4RcxqqTcuDgbH/D+5grauu3csTIPqURAEATcHh/VTb2smDEUs93DfX8OVYkp5JJv3YRSLuWnf9qBWikjOzWCmHA1T75xiLZuOxEGFdcuzuK5949w31UF5A2N4uipTuQyCb+9PgtJ1U7azpQPAzhqSpFq1/PMNQ/z6jedFJ1s41erh6M+/Dau4lI8E5ejy5pI+we/DXgNSaRELbgZb3cz1uM78bscqFJz0A4bh7PlFKrYdLoPfo5ErUM/aiaRc67DUX8unU6qjyBixuW0fvBkiFLUWrqdqEW34WqtwVi4CEftsZBESwCZMQZ16qiA4k6uxO+wIvp8eHvaiF58Gz0719C7K6DqQ5CgzZxAzLKf4GyswHEmaCBy/k0giihihuC5gERVZBTiCEvnVy+VkJFkRCIoWKJSkRir4cDxGqaOSaSuxczWQw1Eh2tYPXcENoebX1xbyMvrjwdLKAuzA2X8/fmu+fwin+2qZnZhCp98cyo4/XB5G2MzYzle3cVjrx5AKhG4dnE2XSZHMBXvLHKHRlGYFcczbx3mivkjaO+2I4oiD143jpLKDo5XdxKmU7J4choKuZR1209x9+oxCIJA6akOdh1pYt+xFgqz49BrZGhUMuxOLy6Pj9+9W0RGkpHJeQnIpBKyUsNRSwfJn0EEYLa5UStlSCT/PlI+NkxNTcvAivBBDGIQ/10QxAsdXQfx/wWfz0939z8WtSiRCNS2W3F5/aTG6Xlz40lEoKKup0/E6GO3TOQvH5YEywfOh1Yl485Vo7E6PGw5UEeYQYVEgLKa7uCI1qJJqVgdHnaeMXH+xbWFxEdp2FHcxMyCJLpMLorK27A5veSPiCZcr+TY6S4m5sZz8EQLidF6nn3ncJ/Oz/UXZXP8dFewvGvp1HSqGnq5dM5wHn/tQIghYoRBxeLJaaQlGAKeQqIfj1eky+zkaGUHcpmE0cNjqG7qZUqGEjb+Bp+tN2R78uQc6oav5pkPz5k2PnBNIVIpDFE78B9Zj/v0YQSZAl3ebLT58zFbnIiHPggkhZi7cDVXIVHrib32Kdyni+na0ld9IFFpiV15Py1rniBu1f20vv84AIJUTvTFP8ZZfxJL6XZEtwNZeBxhE5fh7mjAfGgjSKREzr0eZ93xPoqemOX34nfZkGqNOKqPInrdqIbk4Hc76N72LjHLfkLb2qfOXdvsKUgUKiwlX/fZR6k2jNiV9yHIFHi6mnDUHEVQqNGkj8bVUY8yJhXToY04Th8BRBSpo9BPv5p395mIDNOQHKsn3KBEpZDxwZZKDpe3IZNKmJqXwIyCZFRyCQ6PD5VCitcrYnd6OXiiBQSBwqxYqptNrNlSyc+uLOC1Dce5bnE2mcnG/1XUrUwmITxcS0+PLfhxHB09sBrpf4N/pg2ehReBnzy3o1/TV4DL5w7n6KnOfktvkmP1XLsoi6Lydo5Xd9Fwnh+QIMAvrh2H3enh3U0BD64LMT0/EYVMytbDDYwfGce1i7JAgJfXH2fW2GRSEwys3VLBkqkZrN9xmkNlbSjkEuaMG8KssclsOVBLYpSWccIxzN+cUz0qE4YSNvVSLEWbgiauIZDISLjmcVytNbjba9EOK6Rt3e8RPaHPHt2oGciMMbjbapFHJiGPiMPT1YSrtRpnbUAhIYuIJ2bZPYhuB36nDWdjBc7GCsKnrMJr7jiTwOVBkzEG/ei5WMr2IFPrMB34DFl4HBEzr6R72zsoY9Pwe5w4604g+jxELbwFR10ZtrLdRMy8ClvFgX6VbdrsKYRNXIatfD9eWy+a9NFINQba1v2OsEV3cvs7bcE0pjmFKVyTbaFnw5/6rAeJjOjrf8erOzrIGhJBbLiG9TtPU1TezgPXFPL0W4f6vT8Als/IoNfiIjlWT+aQcJwuHz5RJC5SiyiKOFxe9pW2sH7naWRSgZ9eUcCzbx/us574KC3XXzQSm8PNsdNdRIepmTQqAZfby77jLcwpTKHX4sLp8hBuVGN3eHjpk2M0tFvRqeXMnzCElDgDidFaosJUSEXw9FNONhD+L9vh+XD6RO783fZ+OWWJAE/fOYXi8nbWbAk18L183ghKT3VyorqvD9qw5DCuWpjFr/8eMC3+9U0TeOatQyGle7csy6Gjx8Hne2q4/qKRGHQKvE4nkxLctLzzq373VT1sLG05V2LqtTH01Hu4GsqQhccRteAWrCd2BUurImZfi7P+BPaq0OsuUWmJu+JhWt7+dbD9aYYWEDZ1FV5TB+3rfg9A+IwrsJ8+gjImBXXqKERRxNvbhrl4M15LF7Erfo758JeBEs2963A1VyELj8eQPxdVSg72qoN4rT0YCxbQ9Op9AeWrw4LlyBZcLaf7HJdu5FTCpqzAcmwn2hHjEVQaTLs+Rh4ZjyIqCXv1UZBIcCYW0uHT4ZPr8Pj8VDX0olbKGDcyji6TA+sZdc6FBsmXzxtB5pBwOnod6NQKJBIBn9/PwROtbC/qm/oJAV+le67I53fvnHumZaaGk5UaGUIKAfz2rqmYrC6KK9rxeP2MHh7NsOQwthys58OtVaiVMuaOS2H08Gi0ahlKhQyFLFBie7qhh3Cjmm2HG9hztBmfX2RibjzLZwylpdPKsVOdpMQZaOu2B9XS50OrlvP7H09DIfzjn9r/v20Qvrt2CP2/rwfx7ejvnL23pZKSU53csCjr37YfR6o62FrcxAv3TPveG0F/3+6z76IdDmIQ3zcMKoC+B/CK8O6mCn5y2Wg6ehwYtAocbh9XLQwklL28/niwQ6pRyfolfwBsTi8SiUB6ooFlM4ZSVN6G3w83L8vBYvPw2oYTbD3UwD2X57PzSBMRBhVyuZRdJU1EGtV0mlxEGpXERmqorOth7deV5A6NYvzIeIpOtjEkzshfPirpd+T7vU0V3HtlQZAA0msUOFxedhQ3snLWMNael67RbXby/uYKfn5VAcXlbcREashKjeStjWVo1HL8fpGth4uYmB2N3FuC8wLyB8DTcJwho8yE65X0WFwIAmhUUjIMbrre+XVwVFT0ujEf+BSvqR395MtwJozA23oa9fBCwhfcikemweF0Yx3Az8fvtOHubCBu1QP4bCakxlh8pjZEn4f2T55DMzSf+Mt/hd/jQhAEkMjwO21EzrsRdWouPfs/7UP+qFKykUfE0/TqzxBkClTJmSCV0fX1G0HfBq+pI8QjyHZyLzHL7sHnMGOvOGcKKzNEE7XoFjo2/JmoRbch0RjQ5c1C9PtoW/ObgB+ESosudwaGggU4lJFsKe2hdWcP8yem8sqnx1mzpYKHb5zAoy/vD5aTuPDx1f46jlZ1ct81Y+nsddDSYeNUYy/xUVrGjYzD6fbxzNuHg/fme5vKWTgxlRc+LuW3d05B/sOoOAmBCAOSPwC9VhdKRf8fTw1tFrw+kS/31aLXyLl0znCGJYfh9QXK4rRqGa98eow7V43mbx8fDZrcAowZEc2qWcPptjjPxErLqajvwecTWTQ5DYVMikohZcWs4dz/l93BfXR5fHzyzSkOn2zj5mU5xGu8ODaEkoT6vNng92M/HVqWdPY3beZ4rGV70Awdi9fUSe/+T/uQPwDW0m+IW/0QyoShtH/yHNGLb0OVlIlp/6cAKBOHEzZ5BV2bX8XVWAEIqNNGEbXgZnoPbsRWui24Llv5Aew1pSRc/TgtH/wGCPjuKKJTCJt8CY6aY8h1sRjGLsRxupje/Z8Rs/ynAa8SiYTu7e/0ew1sJ/cSNmk52pypCIIUZ1M57e/8HhBxowjp4M8cm0ST20bUuGXYD30WNK+WqLQo593FHzfUMWXMEOKjNHT0OoPeIKIoIpdJBjRi1qkVFJW3h3Rcc9IjmTsuBbvLi8vjZeGkVHaXNtHZ60QQCCmLPYuzpv5XzM8kKy2CpGgdXx+sw2x3k5Mehcfn59XPjnPrJaN45dPjeH1+lkxNR69V4Pb4+aa4gXXfnOIX1xYSaVQiCN+uiPm+wmL3DCgo9IsBNUiPpW+S1mc7T/Pzq8bi9vhCSunSE4389Ip89h5rYWxWDEunZRChV/Hzq8bidHvZeqiepg4r2WmRuJJ8jM+Jo7K+F6fLy7SscJylfUn4s3CcKmbYzOtw6ZT0bg94WenzZiF6XNjK9gBgKFiAIi4tWFIZcjxOG7171qHLmYrljIrUfqoI+6li4i5/CKk2DJ+tF2VcOsq4DMzFm2hb93sQ/ShiU4mYdTXWY9/gs3ThbqvFZ7dgKFyMIioJT1cTtspDeHra0GZOQFCoEZQaNFkTMJd8TdjkFf2SPwDWk3sxFC7C1ViBs/YYkQtuwXr8GwDkUcmoL/oZnR41j76yn6fumMKrn52gpPJckMK7X53kqTum8MJHR/tNx1r7dSW/+/E0fv3yuXdl3rBoUmIH7njpNQqcFzyrp49JYuOempBpk0YlIAgCL396jIQoHVKphJc+OcYvrytky4H6wHVzeflsVzWf7TqnEppZkMzF09KJj9bzmzcOhpD224saOXyyjfuuHku4QUVitI68YdG0ddvZffScCjfCoOKOlXl0mRwkRqj7PfZB/PfBbHf/2/x/ziI+UovfL1LXZmFYUti/dduDGMQgvn8YJIC+B/CJIlPyEth8oD7kA2RHcSNDk8K4e/UYnnrzEJfMGBogGb4FMeEaPt5eFfIRsr2ogdHDo7l95Sie/6AkaM54ycyhROgVjEiJ4I2NZTS2WxmXHcfqecNJjNZhd3rpNgc6KB6fH5VSGlKOcD5cHh9enx+pREAURYYmh/HupnJqW8xcPm8Ej906kU93nKaz18GIIREsmZqGAByv7mREaiSHylpZPT+T6iYTe442kxKr5/JpCbg//tuAxyqv3kNOxlR2lTRTkBlDrFGBvfSrPilE8qgk9DlTaX/r/nORuyf3IOz5mPCVDyEq9IG49wHgbqvF29OGethYYpbcgaV0O66W08iMURjGXYSj9hi9ez7GOOFi1Kk5KBKGIZHK8PS0oc+ahFwXjv30EQSZHF32ZCRKbXB7otfdbxmZRK5EaowOEkAStQ6/207EzKsxjJ6Dz9aLRKnF57TR+dUreHvbMB34DKkuHEdNKVHzbyJi1jX07FqD32HFfGgj7s5G9kcuZ92eJh64ppBf/m0PXp/I1NGJ7DjS2KcDCtDSZaOm2UR2WiTpCUZGj4jmRHU3L396vE8qT22LmbhILWabG6vDQ7jm3xNx+l1CJsDI9AhOVPef9JU/IpYXPj7a7296jRyn20uEQcVPVo9h7deVQeJTo5Jx2ZzhzBmXwl8+LOGWZbnoNQosdjdRYWrqW83sK6lj7qgwFB4rIEUTqWLdgU5EQcLYzBhEUcO67af6Jaga2iw0d9hwyJwkeUN/l6j1gTKQC9qFLmc6svA4Wj94EgBVUiaqhAxM+9YxEFzNpxBFEanGgNfSjTz8TImnVEb4tMto+/CZ88oURRw1R2l552Filt2Nt7sJY+FiBIkUUfQjSKTYa46iTsnGdnI/MUvuou3DZ0LKGM1FmwifcQXRS3+MrWwPupxpuDvqB9w/RD/e3jZ8DivOxnKsRwOkk0RjoNmuwOP1o9fIuWZxNm1ddnaWNHPZ9FnEjpiGs6sVQa6gx6/lr9uaKa83cbiiixfum8XW83yWDpa1MiUvke1F/ZjfSgRGZkTy7qZAcpQgQP6IGK67KBuz1Y3X68dkd1PbYubXN03gUFkbB0+0ctuKPP7wfqgyQqmQcv2SkdQ0mwLGuOf5j+wobiI5Vs/1F2VjsbuDirTK+t4++2TQKjlZ28OYoVEDn7fvMdTKbx+t9nj85GREBU2Wz8Lm9PLbd4u4dXkuSTE6ukxOwvVKtGo5zR0WJoyMQyIEiGutSs6iSWlkJBqJi8xCq5LxxsYy9h9vRSJAYoweURTJTchE5fuWUjrRj+j3I/eeU1zIjNGIPg+i34du5FRUKdnYTu4dcBX2qsPEXPyTIAEkUWqQqPV0bXmDuMsepGPjC0h1YbSufRqf+VzZtLutlvZP/kDsykAZc8zK+8DnBQHa1z8XUupoKd5ExMyrUKXnYcifj/XYDrymzj77EoTfh9fcifNMGZrfbka59BeIUhUNVimfflLD9IIk7r2igL2lLSHkDwSIul6La8DBK59fpKPXTqRBRdcZ1fOJ6k4unpbOhguM9c9i5thkdp3nGTQqI4r8ETF0mZxBT5/p+UmIIvz+3SJuuySPp948hEwm4fYVoxAkAh7vwIo4j8+HRALHT3dhtrmJi9RgsbmD70mL3cO+Yy10mZw4XT6mjE5g+YyhzB2XQpfZiUYZeB+8/vkJZuQnkRKdjN//v1fgDeI/F2ab+9/m/3MW0WHqQJJus3mQABrEIAYxSAB9HyCVCAyJN/D652V9fjvV2Et1k4nf/GgSEPAtMGgV/UZxx0Vq6DI7Qsifsyip7GBsViypCQbkUgk/uiSXtAQjUqmEZ98+jNvrJyPRyJTRCfzs+V0hHRFBgNtX5KH6H15YghD49+PL8mnusFKYHUt2WiTJsTo+31XNVQuzKC5vx+f3U91k4s9rS3johvE8v/ZIcHRtWHIY+SNiiIvSYNQp6fg2wkuQ4POL5GZE8pMlqWCuA0MYuiV34beb6d7xHn6HFeP4pXRuevUc+XMGoseF6fPniLvyUaz6SHwDRKbLw+OwlG5HmzmB1jW/IWLONRjHXYTo82At24OlaBMxy3+K+fAXwUQkCJTehE9bjau9Fs2wAqT6yDMmuG9iKJiPLDw+aCx9wYEhi0ggas71+Gw9IIr4PS5sp4oRJDI6Nvwl4OHjdYf4O3hNHShiU/H2ttH64dPEX/Ew0RfdibVsN7YTu2HUYnIMicxziGw6UIf3TIlW5pBw1n3TV7p+FrtLmkmK1iECRq2Cdd+cwtLP/QcECcr/iaj8vkIC3HDRSH7+l919RmtT4w3ER2mDJUQXYvHkNBrbLVx3UTZ/vaBM0+708vrnZdy4dCRhOiWVdT3MnzCEo1UdPPnGQa6bm8p0zWnMb69FPGNiLNUauWHp3VitdvxCC1qUhGllXDotmTFpOvwi7DjRy/ajbXi8fkoqO8hJC2NIxji8RzYiM0QjC48FRNw9bSERzggSdDlTaF3zZHAfXU0VqNNHgyAZMModqQxVXAYSuQJFVBISpQb10AIkSjXW47v69ajyO20468sJm7yCjk//hN8Z6BwLciXhUy9DnzsDxIDK4Hzy5yx6vnmPxBt/izZrEi3vPEr0ktv737czx4VEhiIqKdiBFuQqIpffh8UbzrN3TkGtkqFUSPliTy2lpzq5YclI7vrrbnx+Ea9PDElV84tQ02xCKj2nntlV0swvrx9HdVNviCG6RIAfLc+lpsnEIzdNQCGXIpEI+P1+mjtsaNQyWrvtbD5QR4/FxdDkMFbNGsaEnDhkUgnP/3QG2w430NBmYVhKGJlDInh/cwUrZw/j8X6S5xraLBwsa2N4ShhjRkRzpKKjzzzRYWp6LE52HmlmdMYPkwBSKQMJg7UtfVOtMhKNVDebyEg09juP0+UlJlzDb985TK/FjcvtRa9V8Ngtk3joxb0hyqGi8nam5ycxMScOaaSW/cdbgcA9cLacc+/JLhZnF9C7t3+SVJk4ApcPNBpdcJrP3IX/TNmjLncapgOfI4+I63d5IJhFLguPJ3zapSCK+Kw9yMJiQCLBOH4J7va6EPInCNGP+dAXhM+8iubX70ebOx2JXNGvz1X39neITxoeIJiUGuRhsd+yTxKE81L2zOUHeKtzDAeOV+Pzi9y6PJfYcA1hehVfrS0ZeD3fAr9f5PaVo3jqzUNn2qHI/uMtXLMoi7e+CPXuy06LYGZBEm3dNiblxjNzbDIRBhUut4/qJhMTcuJweXys236Ktu6A0vLrw/VMHZNIYVYs72+uIC3ByISceLYOkH45MScenTqQQnbP6nxau21EGFRIBIH3NpXT3GnjSGUHc8el8P7mCrLSIrA7vfx9/TE8Xj9ujy8YBx8fpf2nzskg/jNhsrlJiPz33hNSiUBchIbq5oHTAQcxiEH892CQAPoeQC2Xsqcf0uYsth6uJ8Ko4s2NZTx9+2RuvjiH379X3Ge+Gy4aycbdNf2sIYAdxY1cOnsYUWFqqhp6OXG6mnCDKmikvGRqOq9tONGn4yuK8MbnJ3jqjilEGlV0mfqWh6iVMqLC1Dx0/Xi2HqrH7Q2UI3T22Om1uJien8Tjrx6g2+zkF9cW8tz7xYwbGUdVQy+jhkZhc3g5UtFOVUNvUK4/4mfT0OTMwHrws36PR5Y9k1neGHIj3XSs+VVIpLo8OoWYi++m7ZM/IFXrByR3fJZuRIcFY+Fiure91ed3QaEORsO72utQxKXh6WzEWvoNrtYaohbegpA/H0vJ132UPK7mU3TveB9d9uSgga0sPB5jwfxgGVjrmt/06Wzr8+edGTH20vbRs4HljDFEX/xjbCf3A2KI8edZKGJS8XQHOi3yyET8LieCLJAiox89F7MiBrfDx8JJafzihT3B5dxeP+pvIfdUSikyqYTHXzvAxdMyePr2ydS3WfD5RXYeaeLgicA2hyWHUdcSKMvTqX+YjxZRFAnXKXj2zim8/nkZJ6q7UCtlzMhPYmxWLG9+WcbPryrgD+8XhyT1FWbHkhSrRy6ToJBKWDgpjYQzH/0NbRa+3FdLl8nJ+h2nuWlpDilxeqwOD6nxBu65PJ98TQtd694N2RefzUTH2idJuO7JgM/OoU9ZkRiPMmYIvXs/wFF3nEsyp7DkpsU88n7Ax6KsrpeCaXOIyRiJ39qLu6Mer7kTddoolDGptH34NKLPgyJmCM6mSs7GTmuGFqBMHI5UH4k6YwyO/ryCAGVsGq0fPBEkHqX6COJWPYCzsRLToY0DnldH/QlErztI/kCAgO3e9hZxV/wabeYEOj57fsDlbeUHcDaW43ea8Zo7UcSl427tqwzQDBuLRK3D5/EgpIxBnT0bfXoOj71fycRRcvJHRCMIAmu3VDJn3BDW7ziNyeruV/12FmU13UzIiQuWlnh9fn73bhE3Lc1BIhE43dhLuF7J6OExfPB1RZA4uHHpSAxaBanxRgxaJZ98c4otB8+plw6eaKXoZBsPXFNIp9lBSUUHNyzJprHdRnOnBa1azl2X5oWojy7EnqPNLJmSRlZqBB9sqeSb4nNlZxEGFXddOpoXPj7KyPTIH2z5id3p4aalOfzlo5KQssn4SC3XLs7mufeLuf+aQh64Ziyf7apme1EjDpeXnIxIrl6YxZotFbR02pFKBKaOTmTR5FTW7zjVb9nYjuJGJo9K4EhlOzkZkRw/fe69kZsexvRsI/it5wIBzoMglRM59zraPvw1sknLUSYMw9VchautFm3mBNSpeThrj+JsLMeQPw9z0aZ+j1ebOQFny2miF/+I9vXP4bP2Bn+TR6cQveQuTPs+GfB8ORvL8btsgIg2Y8yZePkBzm1VEYq4NORRSbiaq1DEDMHdXtdnPu2I8SHvN59MjcXmwecXmTYmEa1KTlVDL2NGxPQ7OAXQZXaSGK3r19RZLpOQEmfg758c45fXj6e6yUSX2UlGopHYCDVP3jaJivoeLHYPGYlGLHYPT75+kBGpEQD87eNSwvRKZuQnUVzRTnFFX0Xv/mMt/PL68VQ19FDbYqapw8qjN0/kwIlWrGeS5ZRyKWNGxJCeYCAzNYJei4sPvq4MIRbPpj7+ff0xNEoZbo8Pz5kAj73HmskfERPSDg1aBSlx+u+Fl8kgvh+w2D1oEv/930jxkVpONZoQRfEHO0g3iEEM4rvBD7OX9h8GURSD0bb9weHyIZNKGJochtXhpb7Nwq9uGM+G3dXUt1qIi9SwYEJqwL/kW5JenG4f6QlGalssfLz9FAsnpoakHamVspCUnPNhc3oRRT+3LMvlt+8cDqpHIDBgedPFOYh+kefWFAfLxPQaOeEGFdsONwRJI5VCit8vEqZXcuns4RSVt2O2ujHolPzsqgKOVLQH08Q+2VnD5ZNnIavY36dESzFsPIrIRIa63XR8+GQI+QPg6ajHdOAzDPnzBlYznIHX0h0YWZ2wDNPBDed1biOJWnAzPTvXACCRyTGOuwiJSovp0Jfg9yGPTEAekUDzG7/od93ultMopq8+ty1zBz63A0GQIFFqibvsISylW3E2lCPThaEfPQdBrsTT1YQiJpWoRbchM0YjUWnp3fsJhjFzMBd9FZJydGbn0OVMpe3DZ9DlTEOdNoquLa+diZ8XUGeMRjfjOpo8CuwOL0atInit9x1rYXp+Eu9+Vd7vMUzKTeCDryt54NpCdhxp4qd/2onL7UOjknHR5DQumpLGX9eWcPm8Efzt41LuXj0GhVT4X5lAfx8hFc6U8qRFctGUNDxeP3tLm/nNGwfx+0XsDg+/vWsqVQ29WO1ucjKiOFLRzsETgcQ0p8vLrpImqs+0rWHJYdyxMo/3N1fgdPsYEmfA6nCjUcmJj9Kil7qwbFjb776cVZm5GitxNpxRCEqkRC++DdHvw3niG2QNJ3josvtoc6p47fMTKIRour56OaRNCDIFcZc/TNzqhzAXb8LvdSN63IBA1MKb8fS207HxbwhAzCX34mqqCIldB9AXLAjESp+nOvNZumlb93viVj+E9cSuARRtATWTz9m34wdg2vcJkfNvHjDhDsDvtAQeNIDo8xG16Da6vnoJV/M55Zo6fQzh01fTvWst3SOW805FIstnDOWt18vIGRqFVCJw93M7efzWiWQkhdHYZmHe+BQq63sYmhTGqcbefrc9PCUcl9vHzPwktp/p2NkcHv70wRFS4w3cdeloXt9wggijOkj+AOw+2szSqek8/eYh7r0yP4T8CZ4/v8jbX57k7svH8NK6YwyJ05OTEUXesBhO1nQTYVBhd/b/bpiRn8S0MYl8sbeW9m47ORlRrJg5lIZ2C2qlDLfHz9/WldLaZeeey/PxeH5AKWDnwe3x095j52dXFmB1eKhrMRMVpsbl8fHy+mPcvjKPCIOSD76uxObwcPvKUcikEpJj9GzYfZoh8QauXpCFRi3ns52n6ep1Yra5uf+asUgEAYlEoKPXwac7TtPWbaespovMIeHMnzAkSABpVDLumBuHsqOC9r3rCJ+0HFVyFpbS7fjsZlRJmejzZuPpakai1tGz8wNilt2N5fgetMML8HQ14ff7EMUA8elur0OXOwPrsW9CjlWqCyN8yipEj4fWj54OIX8g8F6zle9DZhxYzSXVGPF0niEgJNJvb1duB/bKg+hyZyJIZEQv/TEdG1/AfZ4XkDojH13OVNo/eS44zZAzhZnhUq67KBu/X6S2xcyhk2043T6yUiM43o/x9ue7qrl9RR6Pvrq/j3/W9UtGUtdqoqSqg5KqDlLjDeg0cvYfa6Hb7EQiwAv3z6bb5OTJNw4GCZvW7nOEYHS4Gvu3ELlen4hWJWNvaeAZ5fEG2seD141j99EmNGo52akR7D/eQlVDL1q1nNR4Q5+S216Li798WMLVC7Mw29xsO6MgkkklOFxe9GpFcN64SA23rchDo5Qh+gYJoEGAz+/H5vCgVf37S+STorUcKm+ny+QkKkz9b9/+IAYxiO8PBgmg7wFEYEJOfDAC+EKMGR5NVJiam5bmcN+fdxETEZBaj82KZVx2HN1mJ29+UUZ0uJoJI+Mpr+3pdz1js2KprO+hrcfOQzeMo73bjtXh5kS/c/eFVCJl84E6HrphPHtLm6lvsxAXoWXamES+KW6koq6boUlhQbPUpFg9lXU9dJmcDEsOY/mMoeg1MoxaJQ9cU8gjr+wPIZy2HqrnyvmZzCxIZntRAz6vyJo9ncybeS/67pNQvR+JQoVvxGya/JG4nDJixW5M/UnhCUTzGsYuAtE/YIS6IFMgSKV0f/0GsZc9iGZoPj6bCUEmw2e30L3tbTxdTQgKFRKFmraPf0f8lY8gSKWoUrIRpHJEt5OzSor+IPr9xK56AEGuBL8PZ1MlrtYaZOGxCHIFuuzJGMcvRfS48Fp7EF12ura8TtyqX9C752N8DjOCTEHEjCvwdLcQd+kv6Nz0Mt6eQGdTFhZLxMwrMR3YgERjQDO8MJgWc2YPcJw+gru9DvWs+/jT2gbmjUvhlc8CV76yvoeLp6WTnRbRJ91qZkEybd124iK1fLG3hh3F50oJ7E4va7dWYXV4+MV14+josfPTK/JJjNLgdf/wvA6kUgkunx+vX6S6ycTarZX9zneiupu2Ljt1rWbGj4yj1+Ikf0QMXp8fn1/kkVdCOzhVDb08+/ZhHrt1Ir0WF394v4irFmbx2ucnKK/t4eHLhxM1AHEC4OluQaqPODfB76Pzi5eIueRenLXH8Jo7iLZWoYnL447FqXi+ebkPISp63bR9+DQJ1z2FccIy/B4X+Dz4rL24OxsxH/oiMB/Qtfk1Yi7+Cc6mykC8tVqPoWABruYqenZ+0Gf/vL1t+OxmDIWL6DhbYnYB9DnT6dj4woDH5zW1o0rJxlnftwwWQJWcja2yCO2kS5Hpw2l9/1FiLr4HiUKF19qDRKnG1XyKrq/fQD/zeh74+0lGDAknJlzN9UtHsqukiZc/DURYr9t+iuuXZCMIArnDoqhvtTAkLmD0eqHBfWK0jthIDT6fyNJpGeQNj2ZXSRN2p5e8YVEMTwnnmbcOkZ5opKIutO34/SJhOiVR4SpONZoYCPVtluB2N+6tJS3RiNfnp7XbxqYDtSydmsGX+0JVGYXZsQxPCefx1w4Elz10so21W+U8cM1YwvVKfvniXkxWN4snpxITpkb8Fr+T7yMEQcAvBBQXda0Wfvb8LibmxjF/fCoerx+ZVMJl80aQFKOlqcNG0cl2pucn4vH6MVkCJRaTRiWgkEmpa7Owu6SJovJ2ZuQnkZMRxZ/XlgQJg8RoHbcuz+XtL0/idPs4drqLeeNTiApT0dnrZMHYOChehyRvOj5TB51f/h15VPIZTzcN7vZa2j5+Ft3Iqch0EXg6GnA2VRE2aRktbz6I32VHlzsdfd5seneBveYY4dNXo07NwVq2F7/Lhjo1F2XCMJxNlQHCdID3mmn/ZyRe9ySm/f0rY/V5M7Ge2A2Au/U0qiE5OM/Et18IdXI2nZtfRZs1GfPRrwifdimG/PlItcYz7ys/zrrjtH/yXLA0NWzyCo42+WjpcLL/eAsHT7QF19fWZeeOVXmU1XT1Me72+UX8oshDN4xn37EWaltMxEZoWDIlHZlUQmXDuWfWhaV8fjHwvrE5PCElmuejqcPKtYuzWbOl/2fQsOQw/GJgH86ioc3Cr17ayw1LRuLx+XnsvFLLQyfbCNcrufvyfJ5561AIudRlcqLTyJEIArUtZtISDDR3WBk/Mp6MRAPT85NweXw43V4SIjVIRZFB+mcQEFD/iPBvN4EGSIoOlKZWNvYOEkCDGMR/OX6YsSD/YXC4fCgU0n4TL1QKKatmD0chk1DXYubnV41lSl4CUolASpyestouPtpWRZfJSXltD/mZMUSFqfqsx6hTkDcsiuLKDsZlx/HMm4dobLdw0ZT04Dwerx+DVtFn2bP7IQhwvLqLJ147gMXuYURKBH5R5Jm3DrPzSBMyqSRY8y6TSkhLMLJochpjhkdz6ZxhRBhUdJlc7D/RyttfnuxXbfTe5nKmjUlEEGDKmESkEoGfv3aC3xcZ2Ba2gi+Ui3h4owWXVIvT5aWnva/vRQhkCuyKSHRTLuv3Z93kS3E0Bjr6PTvXIlGo6Nm9lrYPn6Fz4wsB8keuJPqiO+jdtx78XsyHvwjE4k67LFDSIggB75EBIAgCPTs/QKrW4mqtRmqIRh6ZQPu639Hy9kO0ffQsza/fj+ng50hkCjq/ehl1SjaOuuN4Te2Ibid+u5nOL15CEZuKo/4kkfNuCCo6ohbcQs+utThqjmIYPXvAjoHP0o3e1oDX60chlzIpNz742/MflDAjP4kHrxvHzIIk5o5L4fFbJ5I7NJJ3vjrJ6OHR7DzS10cCYPOBOjp6HTR2WJHLJPh/gFJ3v0Rg17EWHv77fhrbbBh1ygHnlUkF4qI0eH0iv3pxL5/sOE1RRTvt3Xa+PljfbzqU2+MDBH77ThELJ6Xx8vrjQaK2uduNIjJxwO0pIhPxmkPvc9HnwWvuRKqPBMDT2YjBWk92vOKcz8+Fx+i04u1tw9VaHfAF6ajHMG4x5uLNIfN5uppoXfMblIkjUKWMRKo14vd5+iV/zsJn60URMwT96Dl9fjNOuBhR9OEfQAEkj0rC0VhB+NTLQNL3o1iZlIkvPBnrzHv52jESU3M9foeV1jWP07P7Q/D78LscKGJS0AwfR1WnjxuXjmTU0Cga26w88vL+kDKqkqoOGtqs/PSPO/nrh0cJ1yvRaxQ8eN244DNYJg2UCz1843jcbh9f7aulvtXMtsMNRIepGZ4SxtGqTh579QAmq5uFk9L6xFVPyIknJkKD3y+iGiA5Lnj+zjw3zypBfT6R/BGxtHU78Pr8DEsOC5l/4cRUXttwvA9hZXN4eOfLchwuH7PHpvCLawsxaJXfanb7fYQoCLSbXTz3QQll1d1Bw+19x1p55JX9PPnmQZ568xCvfXaC1i4HsZEafnzZaOrbLLy8/jif7wl403SbnHy4tRKjNpDMFh+ppaPXwZsby0I69E0dVn73bhFXL8wib1gU24saeOL1g1yzKBuA3BQN7vrj+Ky9yM545Xg6G+jZuYauLa9hOboN0eNCHpmI19yJRKVFPSQXd2s1fldApWI9tgNXy2lUqbkYRs+iY/1zdG97B5khElXCMBy1x2lb+xQyfSQ+S/8m9AD4vfj9PiIX3gqElnGoM8YgC48LPgPMJVsxjl8C0n7aVeJw/D4PgkyB3BhDxIwr6NryRmDARCJFotQiUeuQhcehyRyPPn8+savuR5owgpI6G1/tr2VWQUrIOnutLrYequfnV48lNd4ABLxHJuXGc/vKPP645giPvrKfbrOTESkRLJ2STmO7lV+9tJeEKF2ffTyL1HgDWpUMBJGVs4b1O8+CCamYbW5G9WN2LpEI3Lg0h0iDihn5SaGnUxRJjNbx5sa+5HOPxcXnu6qZNTa5z29Ol483vygLJn3tK20hNyOSo1WdhOkVxISpGZ5kRIb4gy2/HMR3j7Mlktr/AwJIrZQRZVRR2TDwgMQgBjGI/w4MKoC+DxAEXvn0OLevGEVJZQffFDfi8vgozIpl0aQ07A4PEqnAvmMt7D3WgkGroDA7jsY2C2MzY1ErZMHygpKqDu69ooBthxvYW9qMX4TxI+OYNTaZv60rZdXsYZisbh66cTxqhQyPz8/PryrgT2uOsHFPDdcsyuKvHx3t07G4ckEmLo+XaaMT2XKwnn39qJUm5iZw6GQrDqeHJVMz+OSbUyRGa7l5WS6N7Ra2HKxDpZAxb/wQ1mzuv5MqinC6sZc5hSko5RKy0yOJDtew+UAd6/Y0MTwljB9dkkekQcWjr+3nN6vTBj6tMgW9GPj5aye57aJscpf/HOuetbi7mpBHJCApuIRD5nDyEqUIso24W07htZuJnHsjfqc1kPSlD0dmjKZ373pczVVAwNsn9rIH6d37Ce6WU0TMvgbtiPHYyvf12QdlUiautlrCJi2n7ePf4+1tI2b5vbSueQK/wxIyr73yIDJ9BMbxF6FOzaVt3R9Cflen5oIoIpHJsJXtQREzBE1GPu7ORjxn1EDyqCRcuz8a8JxIW8tIii3kxXWlXDp3BAsmplLZ0IMoQnS4huKKdhwuHz6fhz+tOcI1i7ORCAIer7/PPXEWZ41z3/2qnD//bOYP7mPXJwi88PExjlS0o5RL8SPS1m0nI9EYUiJ5FtPzkzBZXHxxxhNmTmEKr39+gluX5/L+5v5VQ3nDo9lzNECSqpWyEB+Mzw62MXbJSvj8mT7LCXIlqpSsfk1n/U4rqpSR6HOm4mqtxl5xAP3o2d96rH6PC5+1G1tVJ6LPh8LjCiQF9QPR7cR0ZruaoWMDncgB5pVHxNP8xoMYCuYRe+kvcDWfQpDK0AwtwHzsGyQKdYDcubB0ETBOWkG7R4NCqybu6scx7f4QZ+0xJGotmjEL8aZO5MY/H8Hl9gWI4VsKEYo+CyToVZcEytLOIHr1r9ErwuhttTAkztBvYptWLcdsc+NweSk91cl9f97Fr24Yz6GyVuaOTwmOjOrVck5Ud7HpQB3zxg9BrZJx87JcdhQ3sPlAPU6Xl0mj4lk2LYNj1V3MyE+i9FQnTR1WkmP1DInT4/OL3LQ0B41KTrheSY/FRUqsnsVT0gg7QzK63D7qWgL3WWK0DqfLy4bdNdywJJtfXFPI9qIGLps7ghPVnWwvakQhk2CyukLKcM9HRX2AWJw3PoV7/7QLm9PD9DGJF3IF31vIZBIqm8w88fpBAOaOS8F6gfH62WdRVmoEkUY1vWYnT7x+MPjscbi89NpcGHVKKup7mXQmWWru+BQ+3FrV73btTi/1rRaMeiV2pxe704tCJiE2QoPbIyJRabAc3Ypx3GK6Nr/WZ3mJSos8Ig5PVxOGggWYj2xBlTwiZJ6eb94jesmdSPWR+Gy9AEGzcgi8s3zWHmTnK/4ugCBT4Ld0g99P/DWP46wvQ3S70AzNx1FfRsfn55R2frsZ04ENJF77JN073sdZexyJWot+9BzUaXl4eluJXX4vXdveQqLSEjX/Rrw9bUgNUbS8+wh+Wy8yYzSKuHS8jjY6Pn8B1YpH0ags/PSKArrNDm5elsPrG04E78djp7pYNCmNX1xbiN3pQSKRsKO4kX3HWpg0Kp6qhl4Onmhl3vgh7CxpAgQyksLYc7SZi6ak8fkFPoYyqYTbVozC4/XTY3aRkxHJPZeP4ZNvTtPYbiUhSstFU9IwWd38/t0i7l49hszUCLYeqsdiczMyPZIlU9Nxub10mkTSEozERWqCflIpsXqqGnsHfL8VlbfxxI8m4xehrLorqE6KDldz1YJMYsI1dPTYuWV5Lr/82156rS6m5CWAFCyOwD2kkkvB/8MbGBnEd4+zBJDm/6AEDAIqoPL6/qsEBjGIQfz3YJAA+h5AJhEYmmTkN68f4J7LC5g5Nplei5O6VgtVjT3kpEVS325h77EWrpyfSXyUlt1Hm2jr9qDXKlg6LZ3j1V20dNr4dMdpblmWg8Pl5aaLcxEEOFrVweOvHWDcyDiiw9T87eNSmjsDZqxJMTpuWZbLs3dNpcfiQqWQ8OydU/lkxynqWiwkRGuZU5hCcUU7b395kqdun8LRqo4+ca6LJ6fR1m2jtsXMvPGpaNUyqpt6uWhKOn94ryikBCI3I6qPPPx8SCQC8yYM4cEX9uDxBka/L56WgU4jR62QIQJef+BjsLjeSUHaaNw1JX3Wo8pfRKtLyc0X51LRZGLdXhfz8q5jxAw9+jAdD7xaSlPHaTJTjPxkxeNQ9nUgdnrqpVjLduNuq8Fvt/TxH5LqwgABQ8F8/K6pSBUawqauAomArWwfZ8vB1KmjME5Yiqe3A1drDd7eNqTaMPxuex/y5ywspd8Qf/VjtL77SIjRszJxBPq8WbS891hIJ7p333riVv2CuCsfQbSbkeojkOrCBhxB9mujsDa48YuwZnMF0WFqrl8ykg+2VPDepvI+H8EKWSB1LsIwsCIGAiaeXp9Ic4eV9FjdgB/T3zcIQmCU98gZ01CXx0d0mIbn1xzhgWvH8d7m8qAPiEQgYCI7KY0/rjkCgE4tx6BRYLG5UcilhBuUwcSg8xEboaWu1UKYXhlMpTmL9h4H+1timTjzRlx73gted5kxmsj5N2E6/BWB3nvoSVUmZaJMGI6r5TSCVBa4r9xOJCrdgGobqVpP764PEeRK4q56FHGA+QAEiSSYCGYr349h9Bn/qQugGT4OZ2MlotuOad96TAc+RxGdDKIfd3s9hoJ5WMv3EbPsJ3Rtfi1YniZR6VBMu5ZPS13MyzfSu/4ZfOZO9KNmoBs5BdHjxCUocfqlJERpqWk2I4rwt83N/HjJA3i2vhAskxGUGvQzrqG0R8vT7+8kKUbHdYuziQ7T4HB5sdo9uDwBFcyssckhSYl+EV757AT3XpnP798tJiFay6ozKoOstAjC9Er8okhrp51XPj3G3Zfnk5EYRkpcwPT7dKOJ46c7EUVYMjWN1AQjbo8Pg0bBgeMtHD7ZjlYt485Vo7G7PEgEgbe/PHmuAxqn59pF2YwYEs6iSWlEh6mZOjqRl9cfZ9Xs4cwdn4JMKmH+hCEsmJBKY7uFLnP/Xm1nIZEEVC2F2bE0dViRSwW+9aH7PYLT6+elT44F/46L1DIyPZL6M+1KIsCE3Hhm5icTF6kBRF7+9Hgf4tnnFTHqFFw+dzjR4RoAYiI0NLZbiDCo8Pr8fQyLa1tMeBrOrae1284dK/OINwoofAvo/eY9/C47YZNXYjrwWbCsWB6RQOTc6+ja9jbKxBFoRowP+LhFJoEgQZMxBlVKNqLfh+nQRqIW/ahfQlT0epAoNbhaqlGnjeoTLABgHHcR1hO7A3Hxy+7GenwngkyOx9yBekgOEpUGvz1AUki1RvSjZwcGNubdgM9mwtNRj/XkPnrPDBTIo1OInHUVrR8+gzIuHbe5B4sQh3bsMpz71uA1deA1dSALi0Wx6Oc8+0k1VQ1m1u84zR0r8gjTKvnTT2fS3GnFoFUgkQh8sbeWjm47I4aEM7MgmYmj4vl4W6BcuDArljtX5VFR18NfPjyKQavgx5eN5snXD3LdRSN56PpxfLqzmm6zk+FDwrl4WjpqhYwHX9hDl9lJbISG5TMyuH3lKAQEDFo5L396nMMnA8/w375TxMj0SG5bMYoIg4pdJU08934xGYlGRmZEsXF3DXdemkdlXS8HTrSQEqf/Vm7ULwaM3xvbLMwoSCI2QsOOI43IpAKf7azm3isLggppq8PNjy7JZe+xFj7cWoXD5UUiwLjsOG5YOhI54g/m3TiIfw16rf93CiCAIXF6Sk510mVyEmnsWy0wiEEM4r8DgwTQ9wCC6OfyeSNIjTdwpLKd370bmsATYVBx7xX5XDp7GB29dt7ddM6s9/jpLjbtr+O+q8fy67/vI0yvJDFaz6RRCbz++YlgvPro4dGsmjWMnz2/M2TkuLHdyuOvHeChG8bz1w9LuHt1Pj6/j5WzhlFR1010mIY/rjkSNF38zesHuXV5Lm3ddkoqO9Cp5Uwdk0hNs4m/fBgYbS+t6iQ5Vs+D141j37GWPv4XTR3WbzVdHTU0ml/+bXewlOb8ZDCFTMLPrhobLJl48+t6hl59BWG6CFxlO8HnRVCo0Y+/GFfqZB55/lBIv8fm8PBwTho2ICpMRVOHlfJ6E3f93czknNFkJ6pR1XmZMGoWrW892O/+GQoWYtq3DnX6GLq2vBb42JbKMBQuJuH6p8DvQ5ArEX0+fHYzfo8TdWoOjpqj4PfhHcDbAUD0OPE7bcGygbMwjl8S8FC5oMPgt5vp3PwK0Ut/jF+hQVCqMY5bQvfWN/uuXJDgTymg/KtzUvcIo4raZnNInPVZqJUyIowq7liVFxxpPUscno9A+ldg+R9asoRUKg1JjJmen4hKIeXKBZkYdQpuXDISq8OLw+VBq5ajU8vptbgxahVcdW0hLo8Pu8vLwzdOwOX1sWBCKqVVfa9vt9lJUoyOqvqekI+u2YXJ/4+9/46Oqzy7v/HPmd7Ve+/NKi5y7w0bFzDYYAM2YHqAJCShJEASQiCUQAgkQAihdwymGPdeZcu2XCTLkqzeu6b3md8fY409SOZ51+/7Pl/MG+21WCzPnDOn6JT72ve+9mZqYRydfRbagyJIW12E2GFCLBEjkSlw6rtQpY0maOwCzDWlGM+3aynTxiDRhGKuOoypYi9epwNVxjgkmhBCZq2md9NrQ/ZBkz8Dy7ljKFPyCZqwBI+xF0dfO/K4TOytQ5VLtrZzqHMmYT5zAFP5XsKvvIugCUsxlG3F67AhiKVoCmahG7eA1rceurCix4Wj0zeL7+huJmjyNUh0kbitJsIX3g1iMUhVNBlF/Gt3O8lRXjxnduDsagBAf2RDwH7IVjzNNbPSMVtdlJ7pQCoR0+SOIGHp4whmPXg9GD1y3j3YxaJpasQiAZPFyYDJznVzM6ht0RMWrMBsdVJyuoOsxBC+3HUuYBut3SYE4NpZ6YTo5Og0MkwWJyequ1ErpYhFAhX1PfzqhnEo5WJe+PA4qxfmsL20KSAp6kR1N+nxwfz6xjE8/q+D9AzYAr77w+0TefT1gwFkRVOHkefeP8oz901lV2kzf/v4OHPGJTBzTDx//fAYCrmEKQUxXDU9DbvDRYhOgURy6Zay6DAVDpcHl9vLhLxoZFLx+fvyp1F5erw+xalMKqa2ZQCD2cGk/BhKyttYOj2NiaNi6Oi10NFrRiQSiA5TDZmQmFoYS5BWzhc7a6hv03PHVfmEBytQysT84faJtHT52lWDtXI2HWzw+9ZFhqo5WX2h3TIhUkOo2Ixr87/RTFiCKncq0uBoROogVJnFeJ12BIkUkUxJz9b/EDp9JfauBnq3/gev20XYvLXErvkzpop9GI5vRZBI0eRMRpDI0ORNxnR67/eO3ovbasRUsZ/QmasQa0IwnTnge6/JVejGLkCZUuhXBHq9Xr/hs6OjHld/B+EL70asUON1O5HownHbLZjO7EeTPYn29x8fcr6d3U2Yq0tRZYzDeGIHkSsf53Stk+io8STfUozXasDi9HKu281769v87wCvF1798hSPr51AeW0PSTEaalsGeOOrC35D5XW9bDhQz4M3jaWuVU9Xv5Xy2l42HmzgT3dOIjMxmOqmAXYebebB1ePQqWS8890Z8lLDKFJF0NRp5MGX9zFjdDzzJvqUw519Fl7/8gJBOHtcAivmZDIpP5aDp9qQS8VMzI+hpcvE028f8b//MxNDOXS6nQGTnT+/dYS81DCmFvqUcenxwZe8HjMSgqlpHuDUuR5OneshNlzN78573q1ZlIPL4+Ghf+5n8ZQUXnpgJkfOdATE1nu8UFLRQfeAlUfWjEP8E7kPR/C/A73ZjvJ8suqPgcRIDQJwprGPaQWxP8o+jGAEI/jxMUIAXQbwekGnkDAuJ4rfvLxvyPd9Bhu7jjUzY0wCj//r4LDfbylp4Nn7plLV2E+/wUZkiJLr5mSiVflm5DxeL9/uqxu2bWAw5WhsdiRtPSbS4oORikWYbS6SlBI/+TO4rb+8W0pyjI4b5mcREiTnj/8+PCTFrLnTiMfjDYhDHcTmQw3ccXU+z71fOmR/phXFIhEL2J3Dy6UdLo/fUyNUp6DPYOOx9yqYPbqYeYvnIcFFSGgQ7+5qxVrbzO9vm8iZhj70JjsZCcGolVIa2w288tkJHl5TTK/eRkuXCZfby56TnZyslfOrG8aglwioZ92Cefd7ASliuuLFuE39aPKm0vHZMxcSkdwuDCVfYyj5mqgVD9Oz8XXc5gvElyBTEHXNr+nZ/CbSkJjvH5YfIqUWsVLrV14Mrut1OfB+jxTyn5P2Wlz9HZgqD6Ermo1YE4wqczyW6iMXFhJLiFhyP3vbHAGE2NXT0y45HF04KRmDyYYXAZ1azq9vHMvT7xzxJ7qBr9hcvTCHv354DIlYREy4+ic2w+lFKfc9Bu9fUYRWLeM/35az5spc9p9s4+OtVQRr5SyYmERKbBAmi5OkaA1XTknhbx8fx3aR2fXMMfHctCCb5bMz+GJXjf88CAKkxGiZMCrGl3DnhbAgBXOKE3G7PTz5nxL/30QsEvj9zUWkeOrpPfw1sogEvA4bffWn0RbOInTOzXisRjR50+je+Dr25gtknqH0O0zle4le+SjhC+9ioORrXP0diFQ6dGPmo8ocT9f6FwmbvZqOz54lqHghzv5OQqZdT8+WNwMSvMSaENSZ4/B6PDj72nF01NGz8XVUmeOJWHKfz6fEasJafxLLueOXbA3D66FLbycobSLdnb3gklBabeabklr/c+XeRSmY120dfn1AqD/Mtro0uges/OL6InYebeafX5wa1kMsMTaYMdmRLJ6ayptflweosWLD1Ty0ehxPv3tkyHoAUokYk9VBkFbOq1+cCiDydGoZ919XxOc7qrjn2kIeXlNMXas+gPwZxLmWAY5WdhKkkQcQQNNHx/HtvrphWyTtTje7jjbT2uNTZO042syz903l77+agSAINLYb+OO/DzFgtJObGsbdy/JZNCWZ7w40BPyOSIA7r87nza/KuX5eFtHhKrr6LLT1WogLUeK9jG9OQQAXAjuONLHpUAMWm5MrJiYTH6mhqqGXp+6Zgsvt5fdvHPJPbACkxgXx4I1jefb9o1jtLtLigxiXE8XD/9jnvwff2lDBY2snsP1wE98drPd/LpWIWLskD41SysHT7eQkh/LZdh8ZqlPLyIyUYPzmNRwdtfQfcBB+xW10rnvOr7CRhsejzp2CtmAW4VfcQddXL+HorDt/QCIEkYjOL54LSPMaKPkaWXwmwZOuwdnb7m8tBp+STaINJXzB7XR9+w+USaOIuvoBX2yzSIxYE0rHp0/6lpUpAxL5AOyt1bjN/fTv/hBnr8+zTb3w59RFziXl3NAW5UGYyvcRvvBOrPUnqWjQ8/dPfS3aErHAs/dN48HX9w173Xo8Xho7DARr5Ljc8Na3Q3107A43H2w6y13LCnC5PXi8XvoNdrYdaWTFnEz/70YEK9lyuDFgwmcQ20ub+O3NxShk4oBnLvhatGaOiedMfS/Xz8ti08EG3vy6fIi6y+n2IJdeIE4r6nqpOJ9WduOCbCbnDw3ikIgFrpubyRsXKdLaesxsL21i1th437vQC3+9fxqNHUaMFgdffI9cHkRtq54Bk4Mw9Y/T+jOCywMDJgeaH6n9C3wTe1GhKs409I8QQCMYwX8xRgigywQSsWhYX51BdA/YOFlzacPjfSdaWTQlhdS4IJ586zDLZqZT1dhPSbnvN5+6ezLV3xtUXYy6Vj13LcvntS9OUdvqk50XpIczNiuKcdmRHD0b2AbV3W8hMlTFJ9uqLhlhb7A4ho1l7R6wsvFgPX+6czJf762lsqGPII2cucUJaFQyugesw/zaBUgkAqVnOrlrWT4vfXwcm9PN1qPtbD3qO9an75nC3hMdCILA4YoO0uOD0SilHDvbSc+AjUdvHY/Z5uLlT8t46p7JdPRZqWnqJzxYiUQiQioV8eDrpRRnRrB85bMoDU1YLHYk0elILB3YKvbgHOgcMvgehP7Id0St+K0vXt7txFC2HZFMjlPfQ8jMVQgISEKi/SleFyNo4lIs9ScJX3gnvTvew2u3+JLGLlVgn4fX5USdWUz/3s+wNVcSMuVatEVzcHQ1IpKrfFHycjVJKHls7Xjcbi+hOgVd/RbMVifj86I5UuHbH0GAqYVxTCuK5dd/34vH67s+Vy/M5ok7JtGjt1Lb4ktwcbk9vPRJGQazg1sW5SIVCfyUGCCXy8PY7EjKa3tJitHy9NtH+OWqMXT1WfhsezWpcUHctCCbz3fU8Mk2X2H457sn8+53Fayan0VshAa325css/VwIwdPtzO1MIaC9HDq2vSIBIHEKC37Trbx2bZqfrummI+2VPKrG8bQb7BzorKV527NRY4dr1jGsXor0SonUrsMXeFsbE2ViFVBRC77JdaGciRB4UizJuHoOBdA/lwMR2cDInUQYXNvRpCpEKt0Pr8Rt4uIRT+j/+CXgBdj+X4ir/4F3V+/RPjCuxEpNXisJrweD163E6/LRcfnz/qUCFOW4zb0+JLrRGJ6Nr2Bo7MeQSIj8trfXPL8itVBiOUqOqxS3trTOyRlLi5CQ4hWRqfDdolfAMFhRiYV095jpt9oZ+vhoXHqg7DYXMwYHc+Hm88OacVr6zHz90/LWDotjTe/DkxFKswIp7nTSE2znpYu0xAVl8Hs4G8fH+fn1432pYbFaHl/YxuXwu5jLYzLiaL2IvVjTLiGzYcaLrnOuZYB0i5KUdx1tJkJo6L5eGsV1U0D/uXKa3v5xYt7ePGX00mLC+abfb52mYz4IK6dnUFrl4kgrZymTgMWm5Pq5gGSojQkRahxOi9fM2iXV+D5D49R3TxAYpSWX90whtoWPe9trCQmXE1GYihPv3MkgPwB37vr6721XDk5mS92nWPxlFTe21jpfwwlx+i4fm4mrV0mNhwI9Jdxujy88dVp/nzXZG6cGYfXZuCVtWnYkKMJi0DmGsDZ4YtED5m8jM7Pn8VjNSLWhhI2by1uQw/W5kqMJ3YiDYu9QP4AqoyxWOtOoEwdjUQTglPfhaXqCIq4LKw1x7CrQwhfch8eqwlHVwNiVRAiuYq+3R+C10v0ikd8qZAeF2KlDq/TTueXz+Ox+kjCoIlLMVWXXjgYkYTgycsQRBLcFgOyuCyEMcvY3iCiqr2Vu+OHbzsGn/JUEEuRxmZS1Xbh/LrcXrr7rT/o62axuchLCaWxw3jJhK6GdgNSiYin3j6Mx+u771fOzyQ+Qs2h8g6So3VIJaJhJ4wGUVbdTW5KGCdruhEEwb8tnVqORiVlR2kzqbFBVDf1DyF/AI5UdHDd3AwqG4a2R3+8tYoXfj6dnJRQth5uQm+yk5sSyoKJyazfUztkTLLvRCuTRsUQrJGzp6yFjl4LqXFBxEdqLjkeAt/EWER62E/OJ28E/+9Bb7KjUv64JGBKjJZTtb14PF5Eop+WansEIxjB/zsYIYAuIzgvMXgaxKUGV+CbiXM4PTjdHkxWJ+9vquSOq0YxLieSfSdaUSokhAcrhvUnAYg8b7R8sentqXM9PP6vgzxz71TsTg+na31FkVwq5mfLCzhT13tJI1KAhjYDozMjOHKmc8h3J6q7mTk2nuzkUG5ZnEtpRQc7j7XQ0G7g/uuKiAhWYne60all9OptWO0+AiQ5Rkd7jxmr3UV0mJpHbi5GJBIwmh2U1/UytSgWjVLKb24ai/u8UshniH2BXPN4vESFqnhg1RgOnGqnq8/C1KJY9hxvRSrxmfTqTQ62H+9k+/FOrp2ZxsKx4chEXgSjE3FQJM7e4QeqYnWQz7/E7cLrsCLRhRG+4HYMJ3diLNuKWB2CtmAmUSsepnfTv7GdL+IFqZygiVehSh+Lx2EDQUTsTX/Cqe9CGhSJ1+NLkRqujUOk0iFIZIhkcn/cb/++z0AkQRocgcfpwG3sJWjSMizh03jqPV/ctVgkMHNsPMW50Vw3J4NrZ6Vjd7hxe7yoFRIGTHYWT00lNzWM2HA1h06387ePj5MYpWXx9FTau4x8u7+O7OQQ5o1PxGByIBEJeH7gmrgcoZSKuWVRLnvKWphdnMjX+2qZUhCL1+vl5kW5PPNuqf/6y0gIpqnDwN3XFPLud2f8hqBqhYTlczKx2l20dJmRy8RsOdSAxwtd/RZ/MTpjbDw3LcwlSCNDsBlZHnoGx7db8JyPWJ6UXEB48J1Ya/t96TzhcRhP7cJ4cgfBk6/B0duKLDoVc1XJkOMImnQ18qgUjOV7cJv60Y27EsFqouuiolGZOpqwOTf7krOcdkRKDdHXP4q5uhRr7XEEsRR13jQUcZn0bHsbXdEcpMFRuK0mZJFJiDUh2DvrCZ2zBgCvTINbokQan4uzZSghpZ1+A6d7vbR0d3Lv8kIq6nrZfbwFt9vL+Lxo4iM1HD2nJyM5H1v9UMNmAHXWBBK8MvqNNqw2F/npYZw+N1R5A5CXEoZWJaP6EiaX9W0GspNC+MPtEznb0MeXu8+hVki546p8Hn1tP3dfU8jfPj4+7LoWmwujxYFUIsJoduL+AVNXl9szZGBtMDuICFYO8YAaRFSoGoPpgqrJ5fEil4rpGfC1D3b3W/0+Rm6Pl3+tP82UglimFsaiVcswWRz0G+wkROuICFURpJFztLKTLSUNPHX35MvaBFoQBDp6LVQ3DxCilbN2SR5//fCYXyUmEglkJ4X6fZO+j7LqbpZOT+OLXedQKST0GWwo5RKmjY6lMD2C7gELe44Pn2IYH6khTqbHuulVHF2NACgUaqRTbsAdlwYiMeq8aUh04YRMuw5L/SmCxi6gZ9PruPTdPs+fqcvp3/VhwO9qC2eDSIzp5C4sdWXIwuKJWvEQglSBSOFLvBo48AWWqsNItGEgkRI252bC5t6Ky9CN1+1CrA5Cf3QTzq4GZJHJRFx5N/qjm5CGRKPKnkJvrw1t7jykuJEGheOQqGnpMRC/+llsbhGf7W3hXKuegvRwtNkTsJ0Y6uEFoEgahaOzHtG45Xz3YSDB2j1gITFK6/dg+j5GZ0awvbSJ1Njg4f+452G1u/xKx9ZuEy9+dJyn7p5CbcsA8ZFaWrpMuH/g3REepGBSfgzzJiTidvuUm7uONZOfHs7bGyoA2FzSyPLZGfz907Ih66sVElLigphaEMv+U4Hk7disCCQSgaRoLbPHJZAQpaFnwOZXlX0fbrcXhVzMA3/b4z+mQ6fbSYnRIRELlxwXhQdf3iq8EfzvY8Bk/9H8fwaRGhvEoYpO6toMpMcH/aj7MoIRjODHwQgBdJnA5XIzOT+Gb/bWDft9kEbGpFExfLWndtjvx2RHIZeJOVzWQW5yKOV1vfxr/WkiQpRMKYhlwGhnTnEiZVXDq4jmjk/k+Q+ODvncZHWyt6yFaUWxXDUjFZfLiyBAiFbOvhNtTB8dx9HKoQQPgM3pZsWcTMqqu4dEYydFa0mI0JIaG0Sv3sZbGy4UjwdOtvL4bROobdHTo7cSF+GbVft6Xy23LM7F5nBTWd/HL17c7V8nKlTFI2uK0Zts/Pat/ZjPK48kYhHL52QQG65h3c4aVAoJcREaVszJYG9ZC06Xh21HmthT1sqk/BjGZ0Xy0XmPJaVcwh9vzELXcRz7lzuxOu2oMsahG7MA06md2BpOBxyTWB1MxJL76d3xLs7uC4NoRXI+QeMXYzy6CUdHPdba4wRNXIpu/GKCp1yDIJEiyBToD6yndd9nKBJzCZ29GkEiB6+X7g3/QJGQi6ZgJqZTu4ac59AZq5CERPpSRi5qHcPjwtl3gfgSZAq+K2n1kxFuj9cfj71iTgYP/2M/a5fk0WewEapTkJ0Uyob99ew61kyoTsH8CUnMKU7k31+fZtfxFn52bQG/vnEMpRWd/PPzkzx512Q8/wOJeTlC8PpmwXr0Nopzo/juQD3Ti+IZnRXJ0crOgAJAp5aREhfE028fwXhRMpHZ5uLd785w34pCNCopJ2u6fX4i31PtWWwuBpx24sIUhLUfxHb8vN+NSII6azy64kU4e1swle/F2d+ONCyOsNlrsLVWMXDwS6JXPoaztx3he3HpmoJZgEDXV38DQKwNQySW0vX1S/5lQmbegFilo/vbl3Hpu5FFpRB+xe10fPFXXAMX7mFbcyWK5HzC5t6M/uCXdHz6lP87SVAkEUt/Tqtdze/fK2daURyLp4ajvuJn2Eq/xn5mD16XA7E2FNXklezrjaC2u5ux2ZE0d5r4Zl8dY7OjEIkESsrbqWkeQKuS8uodN2BrqhjSSiaJTKXKoKKjz8DozEgaOwwsm5lOZX3fkCIrPT4Yh8s9bMF2MboHrDz3/lHGZEXy3P3TkIgF9CY7erMTQRBwuC59DffqrRSkR6A32ynOjR6iaBrE5IJYP2E+iD3HW7h5US7ldcOTV3OKE1i/50L7yIzRcYjFIlbOy8RgdpAQpaWr38IHm89id7g5U9/H0mlpPPNeKWnxQaycl8Wr607Sf741TiTAnOJE7rw635fs9wPH9WNDIhFRev49cuWUFD7ccjag9Vgu9bXn/RA0Sil3LctHo5Ry7/JCtCopoUFKHvnnfu68Op8e/fDK0l8uScL4xZN+khTAYzNj3vFvtGueJm7tcxhPbKdz3XMgEqHJm4Ygk/uuc104wZOXYTy+FeGiqHVlcgEeq4nuDf/0fyaIxICA4dgWrPUnEcmUaPNnoF58Lz2b/03EkvsY2L/OPykAIItKIXTWTXSdO4ajox5T+T6ir/8tlvpTtPZa2VlpYeaYeLaXNpGV6CIx2ktQaCh1fRY+2X6WlNgg7r22kG1HGml3BaOMScfZ/r0WJZGE4ElXY3JJeO/AwBD1zKaDDT4i/L3SIeLOsdmRqJVS9p9oY+KoWESX8BqPDlOhNwW2bHq98O7GMyyfnYHZ6uRsQx/jc6OGtGEBFOdEkRyj47n3SgPe7SvmZpAUreW1L3z3VEuXEbPVwW9vLuatbyvo7LMQopVx34oi5DIJR890Mn1MPMvnZLCnrIV+g41xudHojXZ+99oB7rmmkLYeExsP1LNyftYlnyVTCmPZdJ7gvxglFR1MKYwdlmwM0siIDlX+lASyI/hfwIDJQWqM7kfdh5hQFUq5hJO1PSME0AhG8F+KEQLoMoHX65vhGp8bNUQxo1JIWD47A7FIYEJeFIcrAr9XyiUsnppCr96K0eLwe5oAdPdb+WpPLYUZEdS16rl+biaf76zxS5DFIoFbFudypr532HYtgLNN/cRZnLz6xYVEkp9fX0SwVkF6fPCwhs6hOgVFGREcOt3GU3dP4bMd1Ryv6kIpEzNvQhLzzyfbWGzOADl0fKSGxVNTeez1gwED0cQoLQ+vHsf2I00+z6LvDRI7+yw88Z8S7rhqlH+ACL6Z+E+2VvHAqjGEBytYvTCHfqOVYI2cpBif7HzbkSasdhc7jzajU8v88ZwPXZuO9tAbODovkG6mkzuxVB0h5sY/YijbHmDKHDx1Ob3b3/abcg7C1nAakVyJtmguhqMbAdCXfEP09fl0fPo0eD2osycijUyAqhJsTWfo3/+5r8XAPICjswFHZyPhC+5AFhaH4fgWXPoeZFFJBE9dgUQbRvdXf0cRn4kqfQyWmqFEHgAJozn5dcWQj3cfa2HBpGT0JgfHq7q4ZkY6ZpuLf315iuPnDVGNFif//rqcOcUJLJ2Wxtd7a3njq3L+cPsEYsPV/PnuySjEwk9W2u7xekmNDfKr7JRyCamxQZw81zNkuZZOUwD5czG+3lvHPdcUsOd4K9fNzQwggORSEdlJIbz6xSkKY0W4yjYBIJKriLjqFzj7O7E1nKZ/7yf+dewtVXS1VBE6Zw3KlEJszZWI1aGocyZhOr37/FICmpzJvmvpPLRFs9GXfnfh34Wz8VgM9O/+yP+ZIJZiOL41gPwZhFiuxlS+D/PZQKWRS99F15fPY5n1CEaLk40HGwjWyjFbnFw58XrUhVdis9lp17v4/GAXNU31PLZ2At39FhwuOy1dJlq6ApPHjBYnnxw2sObmZ+jf9QH2hlOI5CqUhfMYiJvMCx9UBjybGtqN/O6W8Xy7r46TNd2oFFKumJhETnIoL3x0nAdvGnvJQlQQfGSC1wvHznahUcpQysVMHx0P+FQKwVr5sP5CAEnROmQyMWaDk5gwNQlR2iGqyqhQFVMLY/lmbyBZ32ew4XJ5WDkvk8+2V/v3TyIWWL0wh6qmfmLDNByji0VTU/B4vPzhjUMBnie5KaH85saxPPNuKRKxCNd5FdLqhTk8+16gWsHjhW1HmogIUZKTHHJZ35teL2hVvuduSoyODzefDfje5nARrLl0EqFUIkIhF3O0sov89HDe+Oo0ybG+wsbjOZ9OGBc0ZAIkMUqLsv8cTuvQNLzQOTcjlkjp+OTJAA8ffcnXmKuOEL7gTpx97fTv/QS3xUDI9JX+Z69u7BV0ffuKfx2RXEXI9JV0rnsOr9N3bXksBvr3fYYiIYfIZb9Cf/ibAPIHwNFZT9+uDwiefA19298Bj4uejf8i9Io7+Li0j9Z+B6OzHCRG6fhkWzWdfRaCNXKWTE/ltqWjkIhE9BvtjEoL56vD7dyz5FeYTm7HfmorHpvFNzkxfRUuRTBf7GnjQMVQA/u2HjMGs4PH107g8x01VDX2odPIuXKyz5/p4Kl2osPUHDjVxlUz0li/O/C6F4kEblqY4/dWuhg1Tf3EhPuI8t3HW/jdLeM5WdMd8A4XiQSWzUrnse+Zp7vcHj7eUkVqTBC/uH40Dpeb7KRQyqq7aO4y8vDqcUilIkDg+Q+O0nRR0IFOLeMPt09EpRDz6KsH6Tt/v//1g6M8/bMp7DragiBAVmIIVd9TEwZr5CyeksK7GytZMDGJjj4Lp2q68Xh979KH14yjd8AWQPQGa+X88faJyEQ/3XfkCP7P4fV6MZgdqH/kFjCRSCA1RktZTQ/Xzkj7UfdlBCMYwY+DEQLoMoIXgVsW51GYGcGO0mbMVieFGeFMLYyjscNAVKia8Xkx5KdFsOtYMyark/z0cKYXxfHOd2e44Yosn4nljqEDreqmPlo6TSgVEh5fOwGjxYFELEKnlmG0OC4pjwcI0cgx2wILXoVUzNSiWEwWJ7cszqWyvo99J1txujwU50QxJjuSV9edZOHkFN75roKspBBuXpSD1wMVdT3YHW46jBZ2HG1ibnEiwRq5L7VnTiYvf3ZiyCxkU6eRt76t4MYrsnn09aFG2AADRjtOlwedWjZ0FvNQPY+sKcbt8RlQSiUinE43SdG6gIKvpLyda2am09VvIYpunJ1DFVcemwlL3Qmirv31BbNnkRiJLnwI+TMIS/VRopY/5CeAAOydDUjD430pLGdLiC6aS8iMVYAXa0M5XpfzIsWPl57NbyCPSSNo4lWIVUF47GYkQZG0vfUQ4MXZ307UNQ9ib6sJMKAG0E5axncnBpg5Np5J+TG4XF4kEoG2bjPrd59j4HysdKhOSUOHgbzUMD/5czF2lDbz+9sm8O3+OlxuDz0DNt78+jQPrykmKUI17LH/FCATi4iL1LD/ZCszxsSz6VA9V01Po/F7xb1YJKKzz8Kdy/KJCFbidnsRiwX2HG9h/8k2mjuNaFRSFk5ORioJTPl4cPU4Npc0UlHXi9MaCk6f703YvFvo3/0RIdNX+hU830f/vs+JuubXCFI5HocNiS4Mdd5UzBX7kQRF4Ohp4eL2QGlwFPqLVGjq7Ik+0/KLoEotYuDwN8NuT507me4Nrw77ndusJ8TT57/PNh5o4Ik7JvLZ7np69VbS4oLITw9HKu7h3hVF7Cht5sCpNv5w+0TkMjF2x1AfmtP1A7RPTkU27S5co02oVVKsEg0P/W3vECLnZE03JouDWxfnsubKHPqNdgZMdsRiEbcuzkUqETFrbAI7jjYP2c6k/BhOXuTvs/9kK4/eOh61UoJWJWXbkUaump7Gu98NbWdLiNKSHKvj8X8dZOm0NE7UdLHmyhzq2vTsK2vF4/EyqSCWsVkRdPaZefpnU9hS0sixs12olVLmT0hEq5ZyttHG47dNpKvPgkgkEKpTsO1II2KRiNgINbcvzWNUWjgP/2O/v+VrEGfq+4iP7GBSQQxKmYSS88bFF7fJfh8bDzacJ7gu38LT5XIzcVQMH26pQiEfOizxen0eSUWZEZwY5rl0xcQkHA4PCZEa3t1QQWOHkYmjYjhe1cWymekUZYYzpSCWE9XdAQqMqDAV4p5Kvk/navKmIUjlGE/vDiB//Pvb346zrx15TBp9uz4AQYRYE4IqeyJihcZn3H+Rr5Umfyb6oxv95M/FsDVXIlKosNYObVsCHwkknbHywrb1XYg1wbT2NrNqQS51rXre+vYCsT9gsvP+xko6eswo5RK+2VeHUi5h0ZQU+lwKFGOWElowF6fLhc0j5VSfi3U7z7ByfhabSxqHEBRymZjIUBWvfFrGnOJElkxLxWZ3ERas4A9vlHDn1fmYrE62H2li5fwsfrVqDFtKGujR20iPD2bp9FS+2HUugIAZRJBGTl2rnpykUGwON//5ppyH1xRz4FQbJ6q7USkkXD8vk6NnOi9JnHy+s4arZ6ShVEh44KU9/uU+2HSWX98wmt3HW4ds22B28ORbh/nTnZMI0Sn8BJDHC7uPtzIuJ4o31p/m1zeOpWfAyuZDDTicHsbmRHLFxCRcHi9BGhkdfRaSorVcPSONz7ZXc6a+j79+eIy/3DOFAZMdo8WBWCwiMkRFmEaK8xLhFiP474DN4cbh8qD5kQkggIz4YL7aX09nv4WokJ/u2G0EIxjB/38YIYAuE3gEgX1lLTR0GGloNzClIBa5TExN0wBPvFmC1+vllQdn8+Wuc4hEAlMKY1HIxJxrGeBP/ykhPlJLv8FGfKR2iEkm+FpP1i7J5ZNt1Tz19mHUSimRISqunZ1BWlwQy2am8fwHx4bZM18bQX2bnvG50fQZbFQ39ZEUo6OsuhuNQkKwTsGxs51ML/K1LJTX9vDt/jpCdQriIjS8W9/Hmfo++gx2EqM0KGQS6tv1fLe/gcYOA61dZu65toB/fn4SsVi45Oz7iepu1i4ZNWwBOYjufitBGvkQAqij10JTp5GYMDUqhYQPt5zlhiuycLjcPHnXJF774hRn6vvo6LUgkYi4eloKkvqvhhQGg9AfWk/UqseJvPYhvA4bXrzgurT5I17PECNnkVRG2PxbcXY20r/vM+ydDTg663H0tKLKGBfQUjAIe3st9nYfKSWPzUCdY2WwsPM6bPRs+Tfhi36Gve0ctuZKBKUOV+Zs7MExhDVbMbUbeObdC+lryTE6frlqDCJBQBBgWmEs9e162nuG99qA80aW571MvOe3/eY35Tx+y3guHU59eUMm9qXQzBgdj0Qi4pOtZxEEWDot1W+ODSCTChTnRvHypydo7fapBmQSEUumpbLmyhw2HWqgsr4Po9lBflo4o9LCCA9SMrUoFoVMwtbDPo8RJxKkIglipRoEEY6uJrweF17X8G0uXocVQSqn8/Nn8NjMIIgIm78WTd40LNWlQ64Vt2kASVAkzp5mRAo1LlN/QJrdhR++BCkgiPA6L23M7DV0EqzRYjA7GDDZaes1s6PURzidqO5m48EGnrhzEl/uqqGk3Hf+9p1opTg3iv0nhponj8uNoqK+jw82VvK7W4oRRFL0BgfZyaHDtlktnJzMm99UEKpTEB6s9J/XYI0ckUjg1iU+ImjH0WacLg8SsYiZY+MZkxXJCx9eeM65PV5UCinf7a/nZ9cW8uLHxxmdFcmNC7L5ak8tZqsTQfC1oKy+Moe9Za30DNj4eGsVD940lu2lPsPYucWJJEVriQhRsutYC3vLWukz2Hj2vqnER2owWpycqetjwaRkijIjEASfUshsc7LrWDOlZzr54x0TaWg3khyro7yudwj5M4g9x32kVahOTmOHkegwNbuPDSW7BjFgtPv+zpexBxCASibmjqtGEaSRERGsHGK8u25HDQ+uHkeoTsGe4y24PV7kMjHzJySxYFISLZ1GZo6N54GX9gC+EIJbl+Sxftc51u8+x5SCWB5YOYYPNlf6Y+PVSimKyCS+f6Wrc6fg6G6+JCkDYDl3HEViLggiIpbch7OnleAJS9CXbvT5uF0ERUI2hmPD++8AeCyXNmgGX0uaLwzA947pGrBz+7JCFDIRT71dNew620ub+MNtE/lmXx1Wu4t1O2sQiwRmjY3ntU2NIBJYNj2Np9/1pYNtOtjAr24YwwebKv1eS8kxOm5amM2Hm8/So7fx6UUqnkfWFCOTiIgMveBrtX7XOR69dTxTCmLJSQ1DKhbhcLk5emZo4AHA/AlJbC1ppCAj3K9ufuLNEiaMimbh5GQcTjc6lczvPyQWCUwYFU1xTjQikUB5bQ9l1V2kxOi4/4XdeDxeclNCmTE6nphwFcEaBcerhv8bDhjttHQZuXZOBs+9d0E129Zt4qYF2cwpTqBPb0MkgtVX5uByeUiM0nKuVc9LHx9HLBaRGK3lZE0PWw418Ksbx6E3ncHpclPbqidII2NHaTPVTf08fc+UEfJnBAycb4NUK3/80is5RotELHC8upuFE5J+7N0ZwQhG8H8ZP/5TaASAz0MkJlzDR1urcLm9NHUMHdSdqunmnmsLePGj43yy9cL3EcFKfnZtgS/5pcPIjQuy+e5APQNGO8Fan1xZp5ZR16ZHIhHxzL1T6TPYcHu8tHQaiQ1Xkx4fzPzxiWw9ckE1IAjw+9smYLI62XWshZYuX7Gxcl4WfQY7KTFa3B74bEc1y+dk8OWuc5yp70MsEpg0KoYrJiXzj89O+H/vZE03Belh5KaEsbeslbE5UdxwRTaVDX18taeWx2+fQHuP+ZLnyOsFp8uNWiEJkIhfjOhwFX2GoYVrYrSW5GgddpeHII2c8XnRWGwuPtlahcniYNmsDNYuyUMQBGwOFwIqRAblJfdFkMhw9XfQ/dVL5z8QE3vzU5dcHpHkvAfEBUhDY+n46Elk0SlELnsAe3cLju5mnL2t6HuacfQ0oxk1A3vb8LGymoJZGE9sC/jM1d9B52d/QR6XhWb8Ura0aPny00Z+cX0UfXqbL4b8IjS0G3jlszJ+fcNY7r6mAKvdhUIm+cEkE5lUjMvtK6qD1HLMNhfmDiNOtwex+DKvMoeBIIDdA/VtA0SEqlDKJNy1rIA/v32EKQWxLJuZzvrdvr/BzDGJ/PmtwwEtYA6Xhy92neO2pXnceIXv3qtpHmBqURwpsUH0G208//4xfrlqtJ+83FGu56rcaYhMvdhaawDvkOtjyH6KJcTc9CTWxtMMHPiC3i1vItaGEbXi4fOJdBdMwo2nd6Mbu4DeLW/idbsRxENnHK31J1FnjcdwdNOQ77wuByKF2kc2DbcvwXH0GnxpVREhyiGEq9XuayGcWhTnJ4B69TYyE4KH/FawVs688Un8+uU9WO0uKup7GZ0RSX2bnvuvK+LbfXXsPNqMzeEmPlLD8tkZnG3oo6HdQEy4OsAcf3CA/bePy5gzLoGXHpiB2eai32DjcEUHL3x4DPdFSgKZRIRCJiYiVMWGA/X87pbxVDf1I5OK+OPtExGLBcQiESXl7Xyztw6D2UFmYggRwUq+3HWOhCgtM8ck4PZ4UCmlfHewgU0X3WMvfHicu68t4FxzP1OL4th6uIHZ4xLZdqSJ0jMdPjK/IJbnfz6No5WdfLSliqfvmXxJEhx8kfEqhZSn3ymlq9/C6KxIphXFAfXDLh8ZokQkDG8gfzlB8HqZlBdNt8HGjQuy+funZQH8pMPloayqi8KMcCaOisHj8eLFi9PlobpxgKQYDS63x7+OTiXjqz21fm+hA6faaO02sWJOJuHBSkJ0cqob+5GnxiDs/sBPrgA+st7tRJDKLr2/Uhket4ugCUt8Zv0hMfQfWI8gFiOIJQhShZ9E9bpdCBLZJUlVQaYI9G/7HsRKrX//JEERtBpg3dZT3Hn1qEsqv7xe6DfaA6LTv9pbS2pcEPMnJhMWpAggGUsrO+nss7BsRjqhQQpCtHIq6np5Y/1pP2E2CJ1ahsPp5rHbJmC1OZlTnEBUqIr0+GCOVXYyOjuSlz4+zm1LR7G5pIH7VhTxz3UnA+694pwophbFMrkghgGjnemj44gOU7P9SBMHT7VT16pn2cx0mjtNJERpqW0Z4BfXj+ZQeTtvfn0al8dLcU4Uv75hLGa7E/Dy6xvH0NFnITxYycmaHrKSQn/Qc0dv8hmzS8Qi/3MkIUrLp9ur/Wl8dy3Lp77V4JtAmq3m9S9Pcd28LNLigqhpGkAiEchICOF0bQ9Lp6WikIvRqWV4PL5n3uisCHQq6U8qHXME/zsYfK5rlZd+rvzfgkwiJiVGR+nZrhECaAQj+C/ECAF0GUAQBDr6zOejTS89SOjqt3LqXA9rl+bhdnvoN9hJjNYSqlPQb7Cx7XAjWcmhlFV1sXphDmqFFLPNyY7SJpZMS0UuFRMerMTt8bL7WAsHT7ejVUnJTQnj5W/LuGtZARPzY2jvMeNye8hNCeNsYz//+eZCZHJLl4m/fniMZTPTwOtrqRgw2vnn5ye5dUkeNy7IxmB2cKK6m7+8cyTAv0KrkpGVGMqjrx2kz2Dz+3TMGhvPlIJYth1uZOHkFIRLJIkr5RJkUjFLpqX6I7kvRnSYCrfbOyx5sWhyCk+9fZjf3DSOfSda0ChlPHvRrN9gLPR1czKRSATiIzSkFs7FPIzpMoAkdzZ2ZdSFD7xu3FYj8thM7G1D900zalqAN49u3EIstcfB68HRXov+8AZCZ91I/473/MtYa44SMuVapBGJAabSALLIJBQJ2T5fiGFgb61Cqu9j3ykrZqsTl9vDdweGLxB7BmzY7C5yU3ytJP9af5rf3Dh2+OMWC0SFqujV21i9MMev+pBKRIh/onGiXkHg7W8quG5eFqVnOpmYF81f3i2lvcfMup01zJ+QxB9un0jvgBWTxXFJ/59v9tXxmxvHUtM8AMCh023UtgxQ3TTAhLxo1AopUaEqOvssbDvWzow1C4ho3YdY7vM28ThsiFQ6PBbDkN8Wa8PwOGwYj3yHIj6LmBv/SN+uD7GeO4axbBvaorkETVyKvuRrAJw9LXgdNnTFizAc3YRIKg8oSAEstWU+Q9nqo7gMgW011o4GdBOuYmDPR3wfkuAoOl1azFZf2+hV09PYNkw0e22rnuvnZfn/nZ8exvSiOMw2JwdPtePxepmQF83Uoji+2nOOpdPS+GRrFeW1vRjNTr47UM+xyk4WTEomNyUMiVhEj97Kup01fh+hucWJrNtZM2TbHo8XtVKKWCTQ2mnk2wP11LXqhyx3xcQkNpc0EBmqZsnUVN7fVIlSLiEjIRibw8WRik7O1Pcyf2IS43IiEQkCJeUdtPaYyE0N87Xcbq+msqGPq6en+n1sBtHea+a9jWe4fm4Wz75fyu9vm8jzHxwNuIa2HWniRE03d16dD/jaBPLTw4c9LvAROnWtA7SdJ8tLz3QytziRII0MvWmogmzlvCwUEgGX6/IvQG0uN4++doAphXE8sqaYDfvrONeiJzxYyRUTk0iI0uB2e6lr1SOTiBiVHo7XC2cbfKbgDqcHlUKCxeYiKykkQLECPsL7n+t8aXMv/mI6DR1GsuJ1RK18nO4vn/MbQQtiCeaaUjS5U+nrbBh2X9W5U3Dre9AWzsZt1vtacjXBeAZbO+ffSs93rwFgqTmKJncKxpM7hv0tQSRGnT0Rc+XQ9mZFYh7281H0iMRIZ9zOh5vbaewwIhaJhix/MZRySUAAg93hxuuFt76t4OZFObjdXsKDFfQM+Pa5qdPIa1/6vP4eWj2ODfvrhyixAK6dnU5chBq92cG20iYm5cUSFabyvXsFeP6DYyjlYroHrLR2mbhiQhKP3jqe1m4TVruLoowIZFIx7T1mYsM1PP/BMdYu9QUQ3HVNATKJmH6jjU0HfSrhP9w2kdzkUF778lRAit7+k22UVXfz9D1TuHFBNruPtVCcG826nTVUNvTx0OpxKOWSS5JkkSEq9GZfS7jL7UEqETF7XAIPvrwX8PlShQcr+df60+jUMuaOT+TmRbmcqukJmIQD39ghLy2Mtm4z//mmgszEEG5fmkdCpAbRCPkzAvC3Gl4OLWAAWQnBbDjUSM+AlfDgS094jmAEI/j/HkYIoMsAXq8XnVpOdVM/SdFaGofplQfITAxm86EGDp1uJ0gjI1gjp99ox2B28PCacbT3WQjWKbhpYQ4b9tXR2m0iIUrHLYtyEYsF6tsMuN0eXvzoGPetKCIiRMnYnCiau4zozQ5au018ufscaXFB5KWG0aO3+hOxvo9v99Xx25vH89Q7R3hg1Rg+217N8apO5oxLCiBWLsaSqSm89GkZealhzBgTh9PpQSIRYbG5iAxWUJARjtHi4Pe3TcBsc/HtvjqqGi8YMF41PZX3NlYyNiuSJVNT2VzS4B/cZiWFcMsiX0LYYJENvpnKG6/IprSyk16Dnfc3VfKz5YX8+qW9w+7j+j3neOruydS1G7DIQpGNmoOjPHDQLglPwBQ/kc1lvSycew+O/e/jsZkY2L+O8Cvvom/n+1jrTvgWFkRoC2ahyZ9O77Z3UKYUoMmfiUvfRf+eC2a/1vqTeKZcw/dn6Xu3vkXU8oew1p3AeGoXAqDOmYI8Jg1baw3q3CnDJoMhiHBFZdPQfpoQrZyoUHVAqs730dRpRCoV88SbJaTEBqFTy9CqpEPIjtuWjuJc8wCPrCmmoq7Xb8Y9a2w8MokI708wBczq8DBnfCIyiQiNUkK/yR5gVLz1cCPbjjTy25uLOXVuqEnqILr7rfQbLig3nC4POcmhXDcnk30n29h1tJlV87N46ZMyXG4vv3+/ktVzxrAgJ5iBA1+iL91I5NL76fjs2QBzcUEiI2zerfRuewtndzPmM/sRa0KIXvk47a3VuIx9uIy9CGIJEVf9AtPpPbiMfTj72tCOuQJV5ngEQSBiyb10rf/bBZWB10PP1reIXvUYA2eO4Kg+iCCR4s2eQ5M0gYykMOQmM44TG/3qA1lsBu6pd/DKR+dQyMSsmJOJ1e4aYgI/iEE/DrVSyricKJ548zDxkRpuuCILQRA4WdPNk/8pweX28vjaCUjEIiKClYhEvnauivo+lkxLY93OmiHbmJwfQ/eAlZXzs/h0W5W/VUwiFrF0eirFOVH0GWyEhSi5f0URDe16/v11ORabC4lYYNbYBBZNTeU3L+/FZHGSlRTCbUvyCNLI8Xg9qBRSgrQyJuXHoJRLsDnc/Ok/hwNaUOVSMb+6YQwWm5P89IjzCrhA4mb22ATe/e4MxTlRlJxuH5ZA7O630thuIDMxGEEQ6BmwkhitHdY35dpZGWwpaQz47N3vzvDrG8by1rcVNLT7CESFTMxV09PISw3DdRkngA1CIhFxpKwNl9vLnuMtnKzu5ve3T6Ch3YDB7GDr4UaaOoyIRQKxERo8Hi/5GRG88lkZN1+ZS23zACmxQSyfncF7Gytx/A8tN30GG+3dJjoG7ChiEvEu/iPhUisehw23NhKP3YokKAJ5XBb21sBiX5k+Bq/TTs+WN4m+4Q9Yzx1Hf+Rb//fmiv0ET1tBzOo/oz/8DY7eNiIW3om1qQJXf2A7lG7CUrwup8//TSzFXLHv/D0qoEwfS/DEpfTueA9V/ixE+Qt4Y3unf4xgd7pJiw+itmUouRmskeNwuXF7fMmd88YnMXFUNFKJiBsXZBOqU1LXpudXN4zlmXeOoFJKMZgd/vtDKhHxwKoxvL2hwk9qyyQiFk/13VvvbzpLV7+Fa2am87ePjwdMXskkIh65uZh/f3WaRVNSeO3LU3T0WogOUyGTihGAg6fbqW8z8MQdEwkLUrDvRCtJ0Tpe/Oj4kGPZe6KVnKSQAPLHf66tTrYdbmTa6Di+2HmOWeMSqGzwPQt2HWtmydTUYX0RCzMiaGg3kBoXhNXuIjJEya1L8qhvG2BsdhSdfRZ+fn0RL33iayGbPS4euVSEy+XhwKmhbayf7ahmbE4kL392HJPFxexxCWTGB2H/H1IJR/DfgwGTHaVcMsQf8MdCWlwQErHgUwFNHFEBjWAE/00YIYAuA4jFImRSMYdOt3P9vCye/+DoEAVMXmoYMonIP5OlNzn8s71qhQSpWMSyGWmoFFI2H6pHrZQyd3wik/NjKSlvY8vhJkwWJ7mpoTx00zjMdhdNnUb2lrUSGaJi1fws+g021i7JY0uJb0YgOkx9yZkzl9uLzeHCZHHyj89P8sfbJ+Dx+qKOr5ruS4m6GONyIkmLD2aCyYHd6eaZd4/6Jdcr5mRgsTl5Z8MZvyRdo5Ryx1Wj0KllnG3oY/mcDAQEjlR0cKSigxmj43jwpnEoZGIkEhEVtb385d1SxuZE8rNrC7A7PXi9vvaAjQfr/cXhmfo+3G7vJf01nC4PdqeHTQfq0SozMainUnTVJKTn9uJ1WnElTaRbGstzH/piiuvSQlm98HHitNBvcuIVy5BFp6IbtxCv24U0JBrDsS3oy7YTNn8t5spD9O18b1hjUfcwPhAep40eC7xyWMv4tBuYUhiDw27GvPvfhExfiVQXhqOjDkfXRQWhICLiql/Q5lXx/P3TUCkk9Bvt/pnx4aBRyXC5PASp5dy7vJA3vynngVVjONcyQE3TAKFBCqaPjqPfaCctLog//eewn1BKitayYnbGT5L8AfDiJUSr4Mm3DtNvtPPz64qGLuMFh9NDdJj6kr8TFqRAp5Hx8Jpx2B1uUuJ0NHeY+NNbh/1EiFYt465l+azbWUOv3sbb2xqRK+RMWfwzejb+C0QSoq97BGvdCZx97ciiU1HEZzFw4Euc3Rd8Xtymfvp2vEvIzBtwmvpxmw0MHPgCsToIdc5k5LEZOHtaaHv3UfC4iLrud5jOHCB61eNYzh3D1deOPC4TVWYxp9qcED4JcXAR/UYnm0u7iI+yIFIH0xs0maQlE5FjR6ZUIlLqMNjEPLDKR3qE6RQ8+I99w56P6DAVBrOd3JRQHwktCLR2m2jtNnG4YqgnSGOHgVuX5JKdFEp5XQ83LsgmWCtn08F6Fk9NQaWQUFnfh1IhISlaR2efhTe+Oo1KLmHxtFTuuCofp9vjex5KRLz86YmAJJ7c5FCeu38a7d1mVAoJSoWEf35+gvuWF/HMe6VUNfZzsqabUJ2Ccy39XD8vi4hgJV/tqeXqGem89HHZEP8xu9PNv9af5ve3TeCTbVUo5VJuXZzLO9+d8T/Dw4OVtHabmDs+0e9VNBxOVHdz5ZQUDld0sP9EK7+5aayvHeZ0Ox6Pl1CdgpsWZNPYYaT2e2qmth4zf/+0jN/dMp5+ow2Xy1f0d/VbfMq8n0DykEgkornrwjNwwGSnq8/Ky5+eCFjO7fH6k9csNhe3LR1FRV0v8ZEavjvYQFp8EDdekY1c9sMtlSKRQFl1N2XV3UzKj2HiqGgO94lJT4jj9bdO8cSK++jd9CIhM1YRPOkqjKd3IwhiVJnFeKwmere941PVOWwB5I9///d9Dm4PivhsgiYswSuICZ11E25jH9aGU4jkatRZ47F31tPx2dPIRs3hVMh8Jt2yDI/dgliuxC5R02Fzw8z72X2mj/WvV+I4T+bFR2po6TKy5spc/vbx8YC2QYVMzL0rCv1panctK6ChTc+f3z7ifxZFhCi5d3khHo+H394ynoZ2A6E6BVqVjCCNjPc3VVLZ0MeSqalcPy/Tf031DFixO9zMLU7kybcOs+1IE4+tnUBZVRdt3WbiozTMHptAY6eBpg4jQWq531No8P8nVD0U50RT32bg3Y1nWDYznb9/WsbCSSlUNvQFTPwAzBgdz5e7h2+FBjh8poPxedGkxAZReZFnWOmZTvJSw7jximy+3e9r4ZRKREwfHc/43ChOn+tBnR7O724Zj95k5+MtVXQPWHnm3ik4nB5EgkCIVoFSLmFKQRwSsS819FLYUtLAAyvH8NQ7pUzIix4hf0YQgD6jfYhK9MeEXComNTaIw5WdIwTQCEbwX4YRAugygEgssL20ievnZXHwVBuPrCnmy13nqGrqR62UsmhyMlMLY+kz2BiVFkZ57YWiRqOU8suVo7E7fdLuiro+IkLU5KWG4XS52XWsifZeKyqFhKYOI529Fho6jPzj8xP+AqXfaKeqqZ/lszPYf6KN8CAF04ri/scZVK1Kxi2LcylID2f38RbUShlf7DrH4qkp/P62CVTU9eJwechLCaOzz4zd7kKnkfHaRXHyIVo5SdE6/vphoAG1yerk75+d4MVfTMfmcHHoVDtf76vzf7+nrJU9Za0Igk+qLpeJkYhFtHWZKa/r5fMdw7dP/D+ZeREJvpmRiBAVz39wjCsmJnHNjLVU1vfw6Y5a2nsq/ctW1PfTMzmVnYd7WDgpmQ/31bNiVC5d659HFpGIMnkUxrKtAOhGTQtIAQvc6FCPIAB1wVzWH+smLkxBRZsNg7vX56USv4p8j4YIjYTgmTfitZmwt9Ug1oQiTxvHe/u6aOqu5ZqZaRgtDjYdbOCKiUlDInrB58GikImRSkT86a5JDJjslNf2Ul7bS2ZiCPGRGvoMNv7wRgliscBLv5zhJwwLMiKICVUh8dtB//SglEvYerjOX5zER2qHXa6muZ/i3OhLEmnLZ2ew40gTO442o1ZKeezW8bz5TXlAes03++rISAhm9cJs4iO19OptlFV3Mz6nkLjbnsPrsNH+yZMoYjKQRiYii0ym45OnGM6/xVp/ipBp1+GNzMRu8SmW3Gb9EE8fkUIN2gjsrTV0VJeiTClArArC0dsK7olERYVgtDg5dnYAs9XJtbPSfbHFbx5iyZRUkuOj2XmyDbfbxuxx4WwtqUMsFjEpP4bOfgtXTU/jqz3fi34WfEWnRCzilsV5fHegnikFsZds7xQE34z85zuq+fdXF1pO5TIx9y4vpL3HzJSCWNp7Lb4C1OlGo5KilIkxWZ2Un+thTFYk3f0WxKFq3viqPID8ATjT0Mer605y+9JRNHUaUSukLJqSSohOzpN3TSREp6S+dYDX15dz/4oCPtte4y/2VArJsK0wcD7e3e2hu99KbWsHM8bE8/vbJlLV2IfT5SEqVIUggMPpRvEDpIRSLiFUq2BLSQMyiRi320NhRgTTiuLwesFqdxKqU/DyRb5qF6NXb0NvsvPnt44QqlNw5eRkgs6rQBQ/gfZMQYCMhGB2lF4gOqUSET/EX7ncbjYfbGByQQxBGjn7TrSy70QrBRnh5KeHMzozgrJhUsNyU0IJC1IQHaaio9fCodPtzB6XQEN7B1aHi4QoLU9/3cb9Vz6E1NGJxuFAJFXg9Xjo2/GuP2VRmT4aS03pJY/JeGonIdOuw2Mz4RroxnBsE4jEyGPS8DrtdH37D7wO33WliMvC2CWi1iAjMjgYi92JUpCw/Xgb31z07gMfeXXn1flsKWmgtlXP3csK0JvsNHcZSYkNIisphLe+Kaeh3ZfoaDDb2fw91Vh3v5Xn3z/Kb24ax2NvHvB/Hhak4KHV41gyNYXy2l4+2HxBBZybEsqymen8+e0j/OzaAm5bmsfbG85wqqab/PQIwoMUJEbr6Oq3EBGs8u8r+Nqp5k9IIispFI/HS3SYit3Hm2loN6JWSlk4KZkXPjrGrYvzWDotlcqGPkK0CooyI1DIxCjlP3zvSCU+w+nv32PvbDhDYUYEty8d5U8023a4kbZuEwnRWh7+x74hzySr3c3Oo83sPNrMU3dPRiwW8fi/DvLLlaOH+J1djH6DHZVCyu/XTkAlEeEdaf0awUXoN9gvm/avQeQkhfD1/nrae83E/MAE1whGMIL/b2GEALoMIODzdVDIxMwel4DV7mLNlTkEaeS4PB7weOnqt/L8h8f4812TMVoctHSZ0KllyKRi5FIx63bVcLbhwqxZn97KoimpnKjuRm+yU5gewfVzs3C53Lz6xSnfrPnUVDITQ3C43EglIkorOphcEMPzHxxjTnEijR0GYsLUtPcONYIN0sgI1Snw4uXVdaewO91MyIsGYMP+ejYdbCA9IRiJWMT2I01Y7S7+9sAMvtsf6EMzc2wCmw81DHtePB4vm0sayUoMprw+sJiTS8UIgs8v47Pt1SyYlMyq+VloVFJiw9WXJICmFcXRb7QREaIcNi0tVKege8DK1KI4uvosrJyXiUIu4a5nd7J2SR5Xz/D5nfQZbGQlhTB/QhIb9tdx7GwXQRoZte1mGvLSkF35BGq5A2/jhXY4e3styuQCrA2nhmxXWzATc/WRgM+kEUmoM8dxhb0Esa0CUXQk8lGzsEkjefWbav61qR6lXMLC4mhm5ScRMX4Ue8v72PJRHVMKY8lOU9LQbqSqqZ+jZzuZVBDD7HEJ7D7W7C+oYsLV/PqGMbz0SRkPrR5HW7eZ7gELWYkhVDX1U33+v0GsXTIKsVggNyUUALVCilR83oP4JwqX2+uX9AsCKOTiIYWjRCxgtjkJ1sp59NbxvPRxmZ8QEIsElkxLxe3x+qPHzVanLyFrGDPfmuYBXvrkBL+9uZhn3ivF6/URDIUZ4cSqpYQvvIvur/6Oy9iLWKXj0ua9XpDIqO+XYjGKSYxICFAJDUI6bhnv7uthwtRfE6ewILb0IQ+Po8EoQYuWmvp+/rHuAiH83YF60uKCeGDlWJ5+5wgikYDZ6kRvsnO6tpeFk5MRiQRaOo1o1XLmFieSEqvjuwMN9Az4YuCXTk8lOlTNB1sq/alNIVo5RRnDF+RFmRGUVXf5DaMHYXe4efnTMp67fxr3v7AroFBLjtHxyM3jOdfcT0SICofTRW2LnpgwNSdrhm4DfApABJ+SsKSiA4/HS4hWzuqFOWhVcvoMdu5bXkh0uJptRy5KC/sBbzbwPYfuubaAAaOd1m4TXq+XvJQwdh5rZv/JVsZkRXLodDuzxsZT3zY0Yh7gyikptPeauW9FERqllP0n25gxJp4/v3XEr5Z8ePW4S5rgJ8fokEvFPLxmHCaLkx1Hm6hvNfDyr2b84L5fLvB6vSTH+NpPB4vsY1VdTBsdz57jLUOWn5AX7VOvXpFNc6eRvWUXljlV00N14yEeWj0Ol9vL6doLrZu5Kb62zGfeO8pdywp44s0SAA6cbCMvNYx3v6vkodXj+GZfHQ++dYbU2CB+t0CLuXxo27Aglg5J/LoYHocNWXQqVpMZUXAcwTNvpPvLv+LsCTwesSYEaXQq+roeX7qi10d+OZxuRmdFkBClZevhRh/5nxjMoimpbDpUT15KGNNHx9PZZyE6VEVspIbYMBWPv3GIu5cVsGhKKmqllGfeHZ6kMttctPeY/UQY+IjElz4u4493TuSxtRPo6DVjMDuICVfT3mPmrx8ew+5w8+RbR3jhF9N54efT8Hh996pGKaW+Xc9fPzjGommpLJiUzNnGPmaNjWfm2AS+2FnDF7t8Sp7spBAeXzsBm8PNjtImlHIJj6wpprXLiICMRVNSsNicPPbaAX5901gmF8QOeT4MYuEkn6l1bcsA18/N9G9jECdrujlZ08288YnMKU5g8dRU/v5pGVWN/YhFAgq5GKvd5X8vWu0unC6P716yOgkPVnD70jxiIzSMSvOFWAyH7ORQyqq7WDolGYfd91K8FOk9gv8+9BlthGjkP/ZuBCD1/Hvj8JlOrp6W+mPvzghGMIL/SxghgC4DuFweCtIjeOz1g1jtLtQKCRqVDL3Jzu1XjUImFRMTrkYpl9AzYOVvnxwnRKvAbHWSkRBMcqzOT/4kx+i4ZXEuIkGgocPA+Nxojld18fmOapRyCX+6azJalZS1S0ezbmeN3yRTLBKYNS6BkPMzxx9sPktrl4nbrsrjhQ+PB7SCySQifn3DWE7XdvPvryvweLzIJCLSL0r4cXu8ATLupGgtSplkCJkUHqRg7zAE0yDae8zEhauZNCqG2hY9ozNCuWFqNGqPHtxuHMowOsxiTjcasNrdTC2Mpavfyq2Lc3l7Q2ChFRuuZnpRHO9sqOBXq8bwxJslASbVcqmYu5bl8+GWsyybkc6Hmyt5/LaJ/OLF3YDPODMmXM2MMfFolVK0ahnbjzT500I2HWrg5kW5DJhdvPpFDVqVlD9eVQh8A8DAwfVELnsAkVKD+WwJeD0IYimawlnoiuZia6vBZegBjxt19iTkKYV0fvwEroEu/z6ayzYTdsUdPHhVAU3mDFwen7LgaKOB9mNNFGVFsHphDt/ur2PRlBREoQKVjX14vfCPz06wYHIKj62dgN3hRioVYTQ76NVbGZUahkImJjZcxdsbKrhrWT5bShopPdOBx+s7N7ctzSM8WMnD/9hP/3liI0Qr5+fXFZEUpflJtJkMBwHfAD0nOZSZY+Kx2pzcfU0B72+q5ODpdrKTQlg5L4v9J9t47v2jZCYE89ubi7E53OhNdqLD1Rw42eY3Ev9/isFkbi8+slPssCDUbcdiNxF13SOYKw8hj0m75PrS0Bi67VL+8NZRtCop/7rvYQw73sJWVwZ4kcVnETJrDU6nkyVaE7KwEOyiYJ79to8bF+p4/oOjPH3PlADyZxC1rXpKKzsZnxdNc5cJnUrGgknJvLPhDG9+XY5IJBATrmbO2ATqWvVsPdzIzDHx6NQyWnvMPPteKc/cO43r52bx0Cu+FrFtR5p48KaxNHYYA5L6BAFuvCKbP/3n8LDH6XJ7OVbZRUpsEE0dRmIj1LjdXhraDRw81YpSLuXdjceYU5zA1ILYS7Z3DqJ3wOr3rgKfAvLlz05w59X5yKVi9GY7XQOBXiMikYBcKh72twdbc9/+toKV87LYeLCBucWJHCr3JRmpFBIeXlPM3z8pI1iroCA9fIiX1NSiWBQyMV/srMHudKM3OQjRylk5L4sXfzmdbUeaqGnup75dz69v9BFzF3uuqJVS1lyZw98+Oe439AW4cnIyCpkY9/9wTi4HuFwePF7P+Sjys5xrGWDzoQYevGksSrmY7Ueacbk9iEUC04viuGZWOv0GG158rWDu7z1/bA43z71/lGtmpbNsZhpSiQiny0Ndq57nPjiKxeaisr6PUalhlNf14vF6yUkOxe5089wHR1k2I42rpqcSqvASpHFhVWjw2EwB27C31RA87bphzZtVWeMJGr8Ej82M1+vFoQpDplKhmHU7jpJP/IbTsrgsvFPW8sXhXmaOi2fd9hoOlbf7ng8CFOdGs3hqChNHRTNxVAyCSKB3wEplfR8HT7Ujk4gI0Smw2JzctDAHhVTE2sV5rNtVzbjsKAozIvzpeMOhvddMqE7hJ4AGP9ObHJxrGeCTrVWolVL6DLYAQ+lgrRy5TMyHm89SctH+TsiL5vmfT6emZYDkaC16sy9p69HXDwYQ4mcb+9l3opWWLpP/fvx6by1hwUpcLg/TiuIYmxOF1eHGZndjMNuZMWYoGZiXGkZBejger5e7luVz6HQ7q+Zn8fH3TJpjw9VMLohl3Y4als/JwOF087NrCwjWKjBafPdbQ7uB07U9yKUilHIxz753oVU9KymE6DA188YncvBUe0D6IPgmxTISgtl+pMmXWOqFXoMNu9NNdKgaueSn0Yo5gv899BvtJF5CYfxjQSoRkREfRElFJ1dNTUEQLn+16AhGMIL/c4wQQJcBnF74+6dlfpLFbHP5Z3g/21HNMz/zxbb/8fYJnGvWExmi8pvUTi2K472NPqIjMzGE5bMzePGj4/4ZVEGAmWPiuXdFEa98doLXvzzF3dcU8MZX5X6zUPARNtuPNKGSS5iUH8P63efweOHjrVU8eNNYalv0NJ+PgZ+cH0Of3sqo1HBee2g2HX0W3v62gqYOI+Nyojh6PnZ3ECIBrp+XRXVzH/GRGurbLmy3q9/ib4UZDimxOsZkR+LxgkFvZFGKBfvGP+I8n7QiiCRkT1+FLms0oZGhbNhfz+jMCNp7zDy+dgInaroxmh2MzYlEEAT+9slx9CYHbreXh1aPo6Z5gNZuE7HharKSQvl0exVNHUZfEliUlt3fG2y295j96R8qhS8ufFA9ojc5UMl9Hkw3L8rl1XUnOaeXkZ6Yh72pAq/LQdeXL6IpnE3UtQ8i0oQgkinQl35H69uPIAmORJU2GkGhQUgaQ893rwSQP4Po3fYWUSseJsSrpcPt8+NRyiXMG5+I1wtPv3uE3908nn+sO4FIEFgxJ5MjFT4iZ+OBejYeqPe3VSyemsKsMfEsmJyMWBAwmJ3ccEUWz75/lPnjk/jtLeN9ke8iESE6OQ/9Y39AS1O/0c6Tbx/hb7+cjvZ/8Ny4XCEXCzy0ehwnarpZt6uGh24ai0TkZkx2JDdekY3N6eZsQx9jsiIpyAjn0Kl2HnxlH8tmpjM+Nwqn0z1sYpPT5QlQM1wMhcynYBs8lfnp4cRIejEd3wyApeoIqszxeBx2VFkTsVSVfO8XBDSzbuXRz2pIjNJy3dxM3t7Vxg1z70HnseD1ehDZjHSvewaP1eeX4kRAVjCXVTNmApAaF8TJcz2XnJ3efayZe1cU0tFjISMhmL99fNzvO+bxeGntMvHepkpuXzoKrUo2JHHJandhtjn9XlFmq5NX153krmX5DBjtVDb0ERmqYnJ+DFKJ6AdbK/oMNq6cnEKwVkZtix6ZVExyjI59ZS3kpYUDIBWL6DfZSVD9cMSuz6h5KL7YVcOq+VnYnW6C1IGztC6PhxVzM/lgU+WQ9a6emc6uo83UtuqpaRkgLEhBYrSWEzVdFOdGIRGL6Og185efTeHUuR6WTEtl6bRUDpW3IxIJjMmKJDJExYsfHfPHbc8YHce8CUm88vkJGtoM3HhFNgsmJtEzYKXfZOeFX8zgcEUHLV1GclPCyEsN5cUPA8mfjIRgxmZHYba7fhItYB6PlwidklfXn2Lx1BSSY3T0GWy+NugpKYzLicLp8hAWpEBAoKvfSnSYipLydnQqGdOL4gLax8BHAn20pYoZY+IRiwR2Hg38/uS57vOeU73MHpeAy+3hiTsm8fr6k3yyrZpJOeHckmug58wOIhb/jK5vXsZ7keJHEEsRx2QNSWrUjVuIWBNK+0dPgNv3LhckMnTz7uCYNYHE2b9DK3GBWMLRZhvrPqjBYnNRlBUZQE56vXCkogOny01GfAg9AzbEYoF/fH6Su68poKvfwrnmAYK1Cgozwtle2kR4kBKdWsbEUbGIBJ+Zc6hOEUC6Xoz4CA2Hy9uHfG6xOokNU+H2eIc1X7732kI+2FhJyUV+Xl4vlJR34HB6SIsP4u+flLF0WirJMbph1ZA5KWF8dpFa1+PFr8zdfMjXtnzf8kKC1DIcLjfxERoeWVPM8apOnC4vozMj0KplbDzYQGSIEqlExJWTU2jvMfHU3ZM5UtGB3uwgLzWMiGAle8tauGpGOut31fLLlWN47v2jtHZfIPVGpYZx74pC9p9oY+PBhoB9rWrs5x/rTnLbkjweuXkcn2+voaqpH0GAsdmRLJ2WxmtfnuLOq0bR2GXi6XdK/a3CIpHA8tkZzC9OGEkE+y+F0+XBaHFeVh5Ag8hLDqW8/hx17QbSYoN+7N0ZwQhG8H8BIwTQZQCr3TUk7UUhE3PbUp/655NtVUgkYopzoshNDUWpkPD8B772BLlM7E+VuW5uBs9/cCzAqNTrhV3HWogKU/tnOpVySQD5czE2H2pgTnGCvzCtbdHzp/8cJj0+mMgQJSdrupFLxewobaK918wNV2QzNiuCu5bl06e3Ma0ojvy0MDYcqEdvtJOTEsriqansKG2iod3A9XOz+PunZf7t7TrWws+uLRy2ZUMiFlGUGcH9L+xmSkEs982LoOM/vyagJcbjQr/7fUIWx9DeIychSsuO0mYOnm5ne2kz+WlhKOUSwnRKHn39gL/Ybeoy8t3+elQKCRHBSo5Xdfuj5RUyMTKJGLFIwGy9dFFqsbmQSS94CiXH6GjvNTMqLRy328MDq8bQ0Gkgddod6JpLMZdtwmM1Ye/vxi0OoseqIUSqwZA0B01kHujbsYYm0iuEEtRnxNsyfAIbHjeu/g5ELXtJn3kLr/xmFiIBtpQ08sKHxyjOjebImQ5/MSgWC2QnhwS0CHq8Pq+H8bnRSKVivt1XS2ZiKKlxQWCA+1cU8fXeWl9EdoiKtUtz+e5AQwD54/8tj5ev99ax5oosPD9BI2iHx8tn26tJjtXx6C3j8QIOt4f0uGDsThctnSY27K+ntduEXCZm5ph4Hrm5mBc/Osao1DBsDjdikTBEgbDhQB1rrszhn+tODiFZblqQw+aSBsCXoCYWCXBuv/97r8uB+cx+zJUHiVh0N/KYVIxl23GbB5DHpKOZfgNWZRS3LHLQ0WvmdG0PkwvjeXHdGdYuGUWY2ETPp3/G67r4+vXiOLWN1OmxdMonoJBJMF8i0h58xbNMIiYnJZSWLtOwEeMAX++rZfnsjICULrlMjEoh4VzLwHmzWl+R1dVv5S/vlhIfqSExSkteSihPvX2EJdNSL5l6BTCnOIGv9tSy/+SF9B2RADctzCE8yBdfO3NsPAaTg0Pl7RTnRFH6PSIafK1m3zeYHUSv3oZGKePT7eU8dut4f+uGWiFB8PrUbr+7pZiPtlT5SePFU1PpuUhRtK+slWtnpxETrmbZjHSOnOlArZSSlRiCyeokSOMzWy+r6cbhdBMTpiZUp8DlcvOz5YVUNfYTHaZCIhbz+L8O4vX60s5EYoGfv7Dbf40JAiydlsoti3KxWB1sL21m9ZU5tHSZMJgdpMUFoTc7eP6DoyydnsbiiYk/iSQwmRjuXlZAdVM/G/bXExGsYHJhLH0Gn7dRbkooty7O4+0NFZyp70MkwPi8aJZOS6NnwMrY7Ei/InMQOrWMOeMS+PNbQxVmGqUUu8NFfnoYXf1WXl13kuQYHfdcU4jB7CAnwoP5o4fxuhwMHPiCyKW/wGXsxWXoRRaZhDg6nXq9mNQFd2A+W4KpYh+CWIoytYjOz/4SsC2vy4F+0z8Zfc0TPPBeTYD6dBAW6/CmwWVV3SyZmopaKaG124zV7uIv75aSEKUlIVJDXaueb/fVcvOiXI6d7WLjwQut1lnnJ4be+Or0kN/VqWUEaeR+4vFiqBQSjBYHv7phDK98diKAoJ2cH0NMuJrDZ4ZvyTpe1cXiqSmAr+1lOPJJIRMPSwoNwguIRSI2HfL5HP1y5WgSorVs2F+HViUjRCv3qeW6jP621eLcKH7z8l5+d0sxwVo5uWm+BDytSsaRMx1Ipb5WrxVzM/jbx8cDyB+A8rpe3t9USWSIath9au8xY3e6+XDLWWaNSeCaWemolVKcLjcikUBmQjCJ0TrONvZx/3VFSMQiymt72Xq40feOidGRlxiM+yf4nhzB/xkGLrMI+IuREKlBq5RyqLxjhAAawQj+SzBCAF0G+H7hCPDLlWNYv9tnBD2IjQfqWTQlhSVTU1i7JI+PtpylrlXPqLQw+g12WrtMQ1JqBrHpoE+VUl7Xi/MH/CwcLo9vJjZYGWB6eq5lwF/grZiTQfeAFa8XPtx8lszEENQKCbGRarr6LeSmhDEhLxqPFzxuL5/vqqasqgutWkZ7j4nVC3NYt7MGq92FweyguqmfB1aN5o2vyjGfVwuEBSm4beko1u+uxePx4na5MB7fwiX9UE58Q+Ss+6lvc/rJLZfbg9PlIT89GL3Zzi9XjualT8rweuHbvXWsXZrHG1+dZkphLHMitThdHmRSETKJz1OpqcPIlMJYth4ePvUjNyU0QM1086Jc6loHSIsP4ok3DxMVquKOq0dxrtfF2a5U8osfQCUXU9FsZuM7tZisTp6/byour5h6Zzg1piD27Guj39jJ327N5Ifsqr0uJ462GrQuKwqpDgSBhCgNHq+vyL3YA+lf609z34pCJo6KYd+JVpxODxNGRZOTHMqh8nZSY4MoyozkxY+Oo5BL+OPtE3nvuzMU50axZFoqA0Y7HT0WGtqHRg0Por5Nj9Pt5aemARIEn4pp6fRULDYXL31Sxqi0MCJDVIzJjqSty8oLF8US2x1utpQ00tBuYPXCXBo6DJjMTiYVxLD/RGA08NmGfqJCfUlsX+4+R2O7r31p8ZQUKup7sdl9vjFery+FDOcwM/ReD90bXkWekEPkyseo77RyrMnE1283ctV0MVFharQqGSKRiGffO4rV7mJPWQtLIlu+R/5cgPP4N4hn5ZIeH0x2cghf7R1qDA4+RWFchIaOPrM/dWk4dPdb0akDVTdXTk6mpLwDj9fLNbPShyQ5tXabyEjQEa1ycd2UaMpbBrh2lq8o+z7GZEVQ32YIIH/AR2K+t7GSZ+6dyrKZaWhVMv7zTQWN7QYeXD0OQSRQeqbDT76Ny4lk7ZI8HnhpqJcLQEZ8ENFhKu68Oh+r3cXz90/n021VuD1ezjb2k58extmGfpbNTPMVzmo5Lo8Xj8frV3o5XW5GpUXw/AdHA6K51++u5dpZ6bjcHs429jNjTDx5KaGcru3l6XeOoDc5UMjExEVouP2qUbz48XG8Xh/JNX9CEn/6T0lA94jXC1/vrUOjlDE6K4I9x1v4ak8tMeFqVHIJGw/W+9UHNc39eCYkXvLvd7lAEMDq8vL4vw4FvHvW7azhD3dMQi4Ts2p+Fr977YC/FclzXnFS1djPI2vGsXhqKqOzItlzvAWr3cWEvGhmjI7nmfdK/elZF2P2uASsNhfZyaG8uu4kAA3tBv7w70M8eksxXmO3/z6yt9fSue5ZJEERiJRajCe2Iyx4kO0nrFwv3YHX7SJ05g1IQ2MZOPTVJY9TdGYr0/Knsu1YoOomOeaH/L587zOz1YXZ6uCamel0dPWTFaPEYPOw+biBiBAVOrV8SOtzVVM/kwpiWDXP540zeB4SorTcu7yQV4YxFR+fF01pZSc5yaHsPtbEnVfnIwg+FV94sBKH04PZ5vxBb5vBdkmj2Uli9NC2l7T4IBKjtdx+1Sh/SzXgv5fq2w18ur3Kn3hX16qnZ8BKQXo40WFqBox2vjtQ73/fO1weJGIRbo+Xv396gjuuHoXF5qKzz8KXF3kCbSlpJDs5lJXzsnjmvaHeSCWn2/ntLeOHGNsPoqPXAl74cItvgiYxWsuUglg2HWrg2XunsqeshS921mC2uRAEGJMVycNrxvHiR8f5dFsVj90y/if3nhzB/zl69L5n2vfflZcDRCKBnKQQDp/pZOWcDCTiyyOmfgQjGMH/HkYIoMsAaoU0QKI9KjWM2taBAPJnEN8dqGdcdhRqhYRn75tKr97O5IJYPthYSb/RzuKpKeQkh+J2ezlypoOS8nZcbq+/PSkqVIXsB5KwJGIBi83FdXMz+ef5AfHFGJ0ZQWO7McALoLy2h7HZkfzl3WP+Vi6ZRMS1szNQyMWE6pS88IsZVDf1I5eJUSul/PrGMbhcXiJDVbhcbpwuD8/cO4V+gx27043B7OCz7dX+wV2EToq7v23I/gzCre/GYrLQZ7ARHabGZHVy/3VFVDf1s6O0GY/Xy9TCWP7xm1lsKWmkucuI2erkiTsm8cJHx/zFmiDAtMI4ls1Mp/RMB1lJocMqE0QigWUz0/nnupOEByu4fm4Wp2u7mV4Uz/Eqn5qps89Cyel2phbGsfFgIxfnfylkYp67bRTB7Ydwnt5OkMtBaup45tw4nac/r6NV7yE1NBZn3/DHLItIxKXvQW9y8PuPDiGXibl/RRGTC2Lwnj+OQdgdbl748DgpsTrG50aTlxaGTOKbfb1iQhJPv3OEzMQQFk1J4Zt9dbzy2Qnuv66IB1+5EO89b3wi0WHqAMLrYsRFaJCIBbz/g1nu5Qax2HceFHIJRys7uXFBNpsONnC4ooPc1FDe2VAx7HpVjf1cPSONPr2VI2faefjm8dS16GnrueBnJRIgNyWMr/fWoVPJuGVRLnKZmN3HmomN0JCbEsr63efo6LWwYFISNxdMxTSM0SyARB2M2eLgobcu7E+ITsHrX54a0jrV3mPGIx3epBR8EfIJ4UpOtzkxWpykxOqG/F1FAqxZmINX8GKyOEiPv/SsYLBWjvU82aBSSLhycgqhOgVvfn2a3906nn6DnV/dMIZ3Npyhz2AjLEjBU6uzUTQdxrzhXfIEgcKcGcjjYvntzcW88dVpevU2BMFHZt521SieeffoJbe/53gLS6alUNdqoKvfgsPl4fn3j7JoagoL1k7A4fQRu7166xDfjkEUpIezdFoqf3yzxD9TK5eJuWVRLjHhasxWJwdPtTMqNYzspFCOV3Xx9oYz2B0+8/un7pnCjtImIkNVbD/SFED+DOKLXed49NbxbDrYgELm83O7uDC1OdzUturRmxz+NpispFBO1/Zc0jpkw4E6RmdFEB2mpt9op71nqJ9aQqQWsUi47I3avYKId74rH5K2JggCQRoZM8fEs6WkMeDdM4h+o53Khn6sDifZSaEsmpJC94CVqsZ+zjb2kRitDbg3AeZPSCQ5Vsez7x0d8nyPDddgsjhRRUj5/hl16btB73vGK6ViMpLDUAVPp2f9X7HWHidkxkpc+qGtu/7jNHQSFRmoAhAEWD4nA51afknT4IgQFX16K2Ozwgj2GDAYDuE4VYlYE8T4eVdCZAavfD08afHOhjOsXZzLn++eQp/BhkQi0NFjobvfwvi8KDYfsmG1u5BKRMwcE8+Y7Ehe+PAYNWnh3H1NPqVnOik/10uITk5itI74SAWO/8FXSi710Ryna3u4anoqG/bX4fX6FBC/WDmamuYB/rX+FGuuzOWDzZUBCtXi3ChumJ9NXLiaQ6fbsTncVNT3Mjk/lveHacMEXxtWxfmwCIPZgUIqQSYRB6SODuJsQx8NGeH87pZitGoZUrGIAaOd3cdbKClvH1bp6v87BCvRX/TMjQ5T02ewMWC0c7iig5LyDn8Lv9cLx8520d1vZc2VOfznm4qfcF7mCP5P0HN+bKz7H1qUfyzkpYRy5GwXp2t7GZ0Z8WPvzghGMIL/ZYwQQJcB5GK4+5p8/vKuLxFocmEs67+XYnEx9p9qY+64BKoa+3n1i1O88puZrF2ah9Pl4ZNtVWw62IBUImJaURyPrZ3AS5+UIZeK6TfauPGKbDr7LJdM95paGMeeshZEIhG/XDmaL3ed80UmK6XMG59IZmIIL34UOEs/OjOSP7xREmCQ6nB5+HhrFfetKGTLoUZ2H2vmFytH86f/HCYsSMG9ywv5dt851lyZg0QsYvfxFhwuDyaLk5Jh/Aiaemx4k9OgYaiMHUAWmcTecwPsLevknmsLmDchkXe/O+NvPQH4fEcNe8taeWDVGHYebUYuE/P0O0cClvF6Ye+JVpRyMSmxQRhNdn53y3i+3VfL9iPN2J1uspNCuHVJHm63z3RSp5LR2GFg/e5aZo6ORy67QLA1dRpp7AgsruMjNTy5OhfblpextF3km3L8W8RVe3nm5icwioJQhq3F+eXT4A0seDQFs7A2nEKenM+u8n6/P8Mj/9zPfSsKSY7RMbUolq/3BEYHt/WYSY0L4nRND5tLGjBbneSmhHHnsnw2H2qkKDOCb/bV0dRpxOv1Ehuu9hdNB0618cCqMRw6PfRvA7BsRhp4foqydi9xkRrfrHBSCE+9fSGJTW90BBijfh8NbQamFsYSHabBYnWy6oosHE6fyaxaKSU3OZQthxv952xzSSMr52fRo7ex89gFb6nIECVjsiIRhwrIYzOwtwX6CQkyJdox86nuu1B0hGjlSMTD++YMGB1IRmdccr+loTE09Vj5ZFs1KoWE39w4lsMVHew+3oLd4SYjIZjlszPYf7KVa2alExmiRioRoZRLAszgB7F8dgaj0sN4+p4pBGlkfLq9yu+J9NWeWu65poABo43Hb5uAxeokSedC//mf0F9UJDsPfIyrah85Vz3ML1eOxu3x4nZ7CdEpqGkaYMB46aSlHr0VkUiEyeokOUbHyZoeHC4P63fXsn73hYJ45bxMDp1q44GVYwI810QCrJyXxe/fOBRAENkdbv61/jSP3FxMRkIwFpuLsCAFf/vkeECx+s2+OvaUtfDkXZMRiQQee22oIfAgjp3tIj89nPF50Xy6rXrYZUQX+fWolVIGLtF6B75C1+X2ctV0X2z2cL81e1wCzp+ACbTd5eFIxdCWoskFsZRVdTOlMJa/fTRUITaIk+e6uXVxHl/vrWNH6QXV5vGqLm5akM3c4kTK63oRCQKT8mNQKiR8t79+CPlz9Yw0EqK0fLmnlvgrE5BJZMOq6cTaMHRhocR4vNTbwgmLTMbR1YCzvxNZROKQpK9ByGLSCdHp/PdTWlwQy2dncPB0O8kxOpJjhhKyOckh9BtsfLi5iqeui6Pjw8f83kIuQze0vYy6aD7T86ZwZpjrAKCkooOJ+THsLWth25Em37ssMYTbrh5FUUYEFrsLAYGS8nb++sEx3B4vA0Y7FXV97D7WQlp8EBa7C4vNyYsfHuXJu6eQnxYekLB2YX9DqTuv3PF4vOw90covrh/NPz4/wT3XFvDBpkoaO4zctjSPdzacCWgfBSg904lMIiY9IZg7rs7nlc9OUNui57o5mf40sosRqlNQlBHB1xepGUN08iE+Phdjx9FmIkJUPP2Or5Xu6hlpjM+LZt6EJEJ1PoPr7yuqQ3UKOK+EGsTc4kT+/onvuiyr6iIlVheQnAm+cYBSLiE7KRjRSCzYfyV69DY0SinSH5iA/TEREawkKkTJgfKOEQJoBCP4L8BPngDauXMnL730EvX19cTGxnLnnXdy7bXX/uA6DoeDl156iZMnT1JRUYHVauXQoUOEhob+X9rrQLjdXuIjtfz25vFsOFCHWi7BMkyhNQirzYkgEqhvM3DTgmz0JjtalZxHXzuAzeEmLT6IwowIvF4v3+yr5a5l+ZitTjITQ/juQB1HK7v4+fWj+fdXpwPIj/G5UUzKj2Hr4QbmFiehUkh4YNVoBMEXA/3FrnN8vbc2YOySlRhCZUPvJZN3vt1Xx7wJSbz73RlKyjsYnxtNSXk7r395ikfWFOP1enn+g2O09ZhJjtExY0z8sATQyZoeJFdMxXFi4zCDcQHNlBUU2EJQqDVEBCupaR4IOLZBdPZZOHa2k65+CyJBGHYZgB1HW3jwpigMFgfvbqxkbnECj9wcjc3holdvRSkX8/MX9viXn1OcyO9vm0hjh5HC9Ai/ybLe5ECluHCbRYYo+dk1Bdg7qnC0DS0A3WY99pObMWct5ZODFu664c9YS9Zhb6tBog1FWzQXgP49nyC56jE2vHuBKByUvv/6hjFMzo+l5HRHgHnn2sV5fLkrsK2wvK6XMw19vr/FRTOTJquTcTlRfLPPRyJZbC7q2/Q8sGoMr31x0u9foZCJfUkqahnen+Cg1uXy+BLAUi60gESGKFk6PY3wYAUSsRCQtnQxIkNUeIG/vFvKgzeN5aWPy0iN07FqfjafbKvm8x3VQ8b5Gw/Us3ZJnj8FKlgj594VRfz9kzJSYtQ8tORubNUlmMr34nFYUaUWocmfgcnu4YM9vuI4OkzFw6uLee794VUxOSkh2IK1iFQ6PJahii3x+OsQq4PRqqQYLU6eevsIi6ak8Oy9U2nvNdPSZeLfX59m1bws9GYHr35xkhVzMvjjHRN59r2jfqWiSIAFk5KZNCoawe0hIVyFSCRww/xsgtRybA434/Oi+cu7pbR0mRAJsGxmOrHBVcMqJJw9LXhaKjjeFoPB4mR8bhS9eiv9RjtZSaFDzOUHUZAejlQskBKrJSI4jZM1QwtShUzMmOwoth5u5FjVOR5ePQ6FQoLV5iIyRMmuYy2XVAet332OmxZks/FgPavmZwWQPyKRwNjsSJKiddS36klPCMZiu7SvktXmRC4VI5eKL7lcfZuerKQQqhr7ae40UpwbFUBoXIzMhBBO1nRjd7pZNT+LdTtr/AoZtULCncvy0Sgkl33BKQgCHq8HjxemFMQyfXQcXi9IJAISkYhPtlURF6FBp5b5Ewi/D51ajtfrHZIS5fF4eW9jJUq5hOfum4rH6/UV9h7vEK+XwowIgrVyf1vUZwc6uW3mbdi2vxa4MZGYkEX3su5QD+t21qBWSHjzgYcwV+zDXrmXsHm3+pMeA9eTIMufz7HtvokKqUREW7eZtzdU0NVvJT5SQ3ZSSAABlJkYwvVzs3j+g6Osnp3AwLZ/+8mfi2E+sZXxN87hzUs8s7KSQvjXl6fISw/npV/NQMCXALS9tImPtw5PRualhlF6ppPaVj21rXomjYohOlTFvSuKeGP9aa6ZlY7T7Q64JzITQ7j7mgJ+9+oFT7MwnYKeAStP3jWZli4TbT1mphXFkZsSRmOHkdZu0xBy+dDpNmaNi0dvcvhb0l/74hQ/v76IkzXdHDjVhsfjSx2bMCqaVy/yWkuM0mIwOYYlrAdhsbn876zmTiOvfHaCNVfmcKK6i2Uz03n23qnsPt9aCRATpuaua/L9iiK5TMzqBTkcrbyg+NGpZVjtvmfKxFExyKRiqhr7OV3bQ0uXiRsW5DASBvbfiZ4BKzr15ef/czHykkPZc7INk9V5WXoVjWAEI/h/Dz9pAujo0aPcd999LF++nN/97neUlJTw6KOPolarWbBgwSXXs9lsfP755+Tn5zN27Fj2799/yWX/b0EkwOtfnmLh5GQyk0IYkxXJvhPDt3GMzYlCq5aREqtDIZMQEaLik61VSCUiHlg1hpYuE0cqOhBEvsF0VKgKq83FCx8d44b52WwpaeLvn5SxfE4GkSFKLDYXWpWMmDAV+0+2sXBSCnqzg85+C/vKWvF4vfxy5Wj6DLYhdURcpOaShtLgU52EBSkAKD3TwXVzMykpb6ej14LV7qKr3+JXmTS0G7gxUkOIVj50kC8I9Hk0JKz6I30bXsHV7yOJxJpgguffRZtDy47SJuYUJ9DZa7nkuQNfqsrc8Yn0DAw1vhyEy+0jBmqaB3C6PLy94QwPrBrD8x8cozAjnJTYIII1cn+87q6jTVQ29BKqVbBwUhL3XFvIP9edpLPPQqhO6Y8gXjYznaOV7Sx0HLjkth3VJYQVXMnJej13v6nnidU3EjfNg6enCWvtUTzaaHSrnuL3H9X4E5YuxuHyDjITg7n9qlHUteo5draLILWM6HD1sG2FHo+XL3bWcNc1BcB501vw94ELAozPjWbWmHikInjpgRn+NplgrRyFWPhByfzlDrHYl5Qz2A61emEOb284Q0O7gUn5scNeSxKxiOzkEGqaB3C5PZRVdTG5IIauPiuna3uGzAAPwmB2oJBdeOwunprCB5sq6TP4jFL/rZawauoEQiKTwO3CbbPgVYZglalZPC2M5TIJ/QYbp2t7GJsTyYb99QG/nxyjY/a4RNwChK38I/qNr+Do8C0jkquQTVrJ/k4t5cequX5eFvtPtjJ7bAIRIb6YZrPViVohYcWcTDr7fMoas9XJ3z4uIz5Sw+qFOaiVUuxOFxqljJhwNcJ54mRQZSITYPnMdDoGrDzyz/3+Z4bHC6FyJ9Yz+7gUbBW7kQZfy47SZnaUNnH1jDSSY3RcOTmZsqquIX5pwRo543KiaOsx86f/HGZaURz3Li/kw81n/fdmfKSG+68r4u1vy1k1P5v1u88hiAR2ljZT2zLArHEJuD0ebl86CplURFXTAPvKWvxeKW3dJjr7LFwzMz0gFTAtPoibr8ylpKKDsqou6tv0JMboKMqM5MglzHEn5sdw6FQ79W16CjMiODyM4kUQ4J5rCnjizRLS4oJIjw/m59cXceBkG2VVXf7iURDg+vmZ/PPzk/TqbUzOj+HhNePweLzIpD4T+2CNHPFPQHDgBCw2X9tuS5eJFz867p9UyE0J5ZbFuXy1p5arZqQN8ZMaxOT8GDr7LJck8qx2F/XtBr447z+3dkkexblRvLvxjP/8zJ+Q6CeCAY5U9RIeFMOSa/6EULEZr6ETUXgyIRMW8/q2dnaWNSCXiVk6PY3yDg8G+ViSZowlSKdCd/XDmLe/gdvoa0uSBEUSfOW9bCo3cvBUOwdPDZ3oSIrWMrkghuLcaH8R1tRp5PkPj2G2uRibpsVSMnybF4C4q4akaJ3fN2cQaoWEoowIvtpTy7GqbjYdbODPd02mudPEqLRwFLLaIabUcpmY8XnRPPFmCSIB7r7GF5n++vrTLJ+dwbGqLho7DDxy83g8Xg+9AzbUKikiQUAi8rkZSSUils1MY/bYRN75tpxR6WG0dZv5w+0T6dXb6Og1U5AezvTRcew/0Rrgt+fx+pKTjlZ2kpcaxu7jLQyY7Dz51mEWTU45P4EEX+6q4U//Oex/B6kUEm5ZnMuXu84xuTD2kqrVooyIIc/pdTtruH9FESere1AqJCREafjrz6dhtDixO91IxCLuXV6IyepELBLYUdqEWinjZ9cW4HB5SI3V0dZjJj8tnL1lrVjtLooyI1g2Mw0ECNfKf5JBCSP4P0f3gPWybf8aRE5yCLtPtFFS0cHccQk/9u6MYAQj+F/ET5oAeu211ygoKOBPf/oTABMnTqS5uZmXX375BwkgnU7HkSNHEASBL7/88rIggBQSEeNyIokJV/PkW4f51aoxHKnoGKKsiY/UIJeJOdfcT35aOGXVXXT2Wiir6ub+60bzwaZKmi4ybD3b0E9mYgi3Ls6lsd2IyeogLkJDa7eJN9b72qkkYhEr5mTgcrkpyozgsx01VNb3EqSRM6c4kSCNjD/+u4Q/3z2Flz45Tk3zAAD5aeEsnJxMZX0f+04M71UTF6HxEy0SsYiUWB0P3jSWj7ZUIRIYMjh78+tyfrlqDF/vqaWsuguv1zcoXjk/i8931XL9vExCr34UwWHGanXQa5ewr8HN6CwpY7Ijeez1Q/zpzkmIRT/kcyTCZneREKX7wWUEAWLC1ewobcJkdVJS0c6Td07CYHGwbkcNK+dn8fqXp1gyNZUx2ZE0tBsQiwSSYoI429jH42sncOxsJ9XN/Tx401iee/8o4cFKqhp68Sp/4NYTiRGJRPz+tgn06m006V1UdnjIT8pBVJSBQqfl8f8cpalreGNesVggIyEEhUJCqFbOhFHRiAWBPWXDtySAzyh0MJlk+ZxMPF6fke+UwliUMjFyqQjB48Xj9hX4kboLMdk/ZfIHQCkVoVH6BmarF+bw1w+P+cxDe8389pbxNHUYaLyoTUQiFvj59UX0GWyEaOWMy4mks9/C7UtH8fqXp4kN11xyW0EaWcCsdFKMjg82X0h72368k33lPUzPjyQmWEFhdhZ/+Ecpt12Vz9YjjVTWX2jv+MPtEynKjOBIRScWm5PCjAikEhGP/GMfM8cmIBULxKTcTM4kKXicGD1y1h3q5nh1EyKRwG1LfCmDB0+2kp8ewRN3TGTAaCc6TM1b31ZwvKqLrMQQVs7P4rUvTtHSZeLvn5YhCCAWCUwfHc9NV2TBMGoDp8fLexcV1oNwe0AQX9oCVRBLcF+00ld7annijolsKWngiTsn8ebX5TS0GxAEnx/ZbUtHUVbVTU1zP06Xh51Hm2ntNnHrkjzkUjEikYBcJqazz0xlQz9bDzewfE4Gf3ijBJfbg1wmJiFKg83h4tv9dVjtLgozInhs7QTe3XiG2hY98ZEauvqsjMuN9JOiwRo5Ny3I4S/vlgb8PSsb+vjD7RM5Ud01xHQ4KVrrU3ikhJIaqyNII6e6qT+A7J49LgG328vbGyp48q7JbDrUwJ/fOowgCEwfHceiKSm8/OkJNCopa67M4VzzgN937eDpdg6ebuc3N43h9fWnCQ9S8siasXgv8/QvQRBo6zaj08gwWhys3x3Y/nymvo+XPinjxgXZpMQEMaUglgOnAt83185K52xjH9lJoUjEokuSQDFhatRKKY0dRr7ac457lxdx7/JCXl13Eo/Xlzo1qOYYxMYj7ew6KWF6wXSunPn/Y++8A9soDzb+u9OWLNny3nuvxCt770VYCSsQVlmF0kKhUDopo3TQQoFCWzYh7J1ACGTv6Uwnjvfe27Ksdff9IVuJYjvQfrSE1s8fLbHW6XTjfZ/3GeGs2VPPIruRJdONTMuPxWRQs62wjv0nmshNDeZgTTflu5u5bnE6flc8hKuvG0EQUBpMdDg1xEdZEYWyISqQ9Dh/2rv7iQ4xUlTRxodbyr2+h1IhYNCpGdmUCg5J4PoLMnhlbZHnPp2ZEMCK+akUVbR5zseWDiuFp1rYe7yRabkR/OaWSbw80KwGkBpr5uYLszha1sqEzFAWToxlw74aDwG6cFIsADcuzeTpdw5R2dDttd/jI0w8cdc0bA6JstouKhq6WDglnuKqDsZnhtLR08/6PVVUN3YT7K9n4cRYpo2NpK2r39PiJgpuAkmpENBr3dcMlVJkek4k03Ij+cXfdpEe588FU+IJC/KhsdVCTJiJpCg/Vq1zF2RcOD3BM945Exq1gnkT3Pl3Z6Kv34kgCBwuaSHEX0dStD9dFjuPvbIXh9O98/78o+l8tquSxjYL1y/JYMP+GlatO4lOo2T+hBhSos08/NJez3WhtLYTs1HDo9+f/B21SY/im0BrVz/x4SOPOc8HGLQqEiNMbDlUz+y8SIQzwyRHMYpR/FfhO0sA2e129uzZwz333OP190WLFrFmzRpqa2uJjIwc8fXn24VNcklcNjuFoso26lssVDZ084sbx/PR1jIOnmxGo1YwLSeScekhPPFmISnRZnwNaqJCjFTUd5MR7095fZcX+TOIU9UdtAzIy4+VtnHzRZk8//Fxapt7CA/0YcmUODLi/enpc3D/M9s98vGePgevDLRBLZkST2ltBz+8PAebw4XTJSGKAjqNkrHJQcP65cGtcBgMOp08JpxVn52kurGHH12RQ4CfDp3GW2ba1N7H71/dx5xx0SyeEodRr+ZkZTuvrC0iNswXa7+TR9eeGpIZ8Mn2ch69bTLBZh0vfnKc5bOThs0mGNyOQ6daSIsL8KqoPhMz8yI5UtrCvPGxLJkSz6c7K0iP9Sc0UIemW8GhkhZCAwz84c6pbNpfw4PP7/a89uU1x7lsbgo1TT00tffRa3XQ1mXlFzeMR6EQKSxp5bJLpsPJ4bNCDNmzeWNrPdPzo/nre94hv9GhRu5YPpb89JARCaCCjFAefWUvff1OVi5OQ5ZkKht7CBmh2hbcod2DwdldvTaign0QJQnzIFH1HSd5zgXZJWE2ashLDaa2udfTnmR3Svzx9QPccEEGKqVIZUM34QEG0uL8kWQZlUKkuqmHYLMelVKBpd/JivkpaDVKfH3Uw9amXzgtgYggA9cvSaev3zlsI4jN7vI0BN0Z6I9LhpfXHufGpZleBFBDq4XPdlXw65sm8tKa47yz4RTNHVaWzUoiNcbMkdJWnl1bPuT9AXQaJQ6ni33HGzlS1kZyjD8NrRaSosyAzLiMEOpaeimp6SAnJYhf3jie1z8/SUVdFwF+OhZPjmNydrib0TkLkijQ1N7nZQsZxJaiTvLzZ0BjxZDHAFzJM9n5pffr9p1oYkZeNOv3VDIjL5JQfwOC4CZbmtrdSsIzq92Lqzq8/p0aayYl2m3vTYsN4Nn3jngmqt9bmsnqz4u9nr/tUB37ihr56XXjeOyVfVw2J4Vn3j3kDlHPCGVrYR3zJsTwzoZTQywmff1OXllbxGN3TOH1dSc5dKoFrVrB9Lwo8lOD6ei2eYj3uHATj9w2mdfXnWD3sUa0agULJsTw079u5xc3TOAXf9vpRQ59uKWMPccaefT7kzlR2U5YgIE/rjptAxRFgavmp1BZ30N7Vz9TssOx2lwYVOJ5TdIqlSLHy9uYNCbcKxT7TDS29aFTK2nt6uPqhanMLoiiqKIdo0FFdkIg/XYXB042I4oCswui+Hx31ZD3iAox0mt1MLsgmivmpdDQ0ku/3cX+E8384sYJlNV24usz/Aq91ebk8331jE0LZ1NhI1NyY3johT1My4lg0aRY2rr6uXxeCk+8eRCDRsWKhal8ua+adzee/j6CACsWpJIW488D14/jw81lFFW0YTSomT8hlqzEQIw6JTqVyMIJMYQF+vDuhhKUCoHJY8IZlx5KdUcPvjFZ2KuGy8IT6PdP4Ik3DjJ/YizLZrlzwEprO/n9a/u4Y3mO17OLqzpQKkWeeKOQ+RNjuHRmEhdOc58XFQ3dWKwOjpe7t08URS/1m1IhkhzlR0Obxat1cxBatZK6ZguPvbYfu8PFr26cwEMv7OHnN4yjqrHbK5i5p6+Lp985zCUzE1k+O9lDAA1mP00ZE4HV5iQr0Z1Lsvd4I3uLGnnolknsPd7A8fI2JmaG0dfvQKtRUlrTSX5qMCsXpWE2arjl4ix2Hm1ga2EtdoeL/NQQFkyKZdVnJ4YdsygUAvqB7C21SuRISQsp0f4cK28j2KyjurGbpCg/rpibwv3PbPdcA7otdl799ARJUW717Zntah09Nj7YXMpVc5KRRxVA/3NwuSTae2zknIcNYGcjOyGAd7eUU17fTULEaCX8KEbx34rvLAFUXV2Nw+EgPj7e6+8JCQkAlJeXn5MAOt+gVIqcrO2krrkXlVLEbNLywsfHyIgP4O6rcnE4JXYfa+Thl/YiSTI2h4sui53OHjuN7RYunZVEcZVb7TOc/eSLvdVMzAzD7pTYeqiOueOiiY9wW8h6+hwoRJGX1xQNmx2wr6iJeeNjOFraQm+fg4+2lmE2aVGKAk5JxqBT8tOVBTz97iFaO92r0RqVgotnJtLcYaW+1UJUiJH0OH/PAP+Z9w7z0C0TWTAxhk0Harw+z9Lv5KOt5WjVSo6WtXpWJa+cl0JLp3UI+QPuidf7m0u5eEYif/vgKNGhRjITAjhW1ub1vMRIP/JSQ/Dz0eCjU3Hbpdm8vOb0aqkouEO4x2WEolKIPPbKPnz0Ku69Op/ePhtf7K1lclY4EzJCiY/wRZYhKzGQ3NRgdhyuZ9OBWiQZ3lxfzE+vLWD9nmrPAPHLvTX86UfTsFgdFHdpSUmagKNkt9f2qQIikBInMy5IwR9WHfCQPwpRYMHEWPJSg+m12JmRF0mAn5bVnxd7BVJOzAqjrdNKT5/7b929dk5UtnOysp1f3Dhh+IMPt/JArRQIDdCTGR+AWiEgfccavf5VyDJoB4LYX1nr3TBjsTp46u1DmAxqokOMFKSFcOfjm/jJNQW8t6nU61z7aGsZV85LQaNScP/KAp5+57Bn5VmpEJg3Pga9VsVjr+3nzuVjefOLYsYmB40YriwIYDZqsdqcWG14WceUCvdv5XTKOJ1uAuvmi7MQEDDoVJTXdpKbEuzJcDobs/KiWL2+mBULUrn+ggzau60oRBGd0m3nm5oVRl5KsKeKXFQI3HlZDsgyKpUCvVpEdsnIoohTklApRJAkRFHkWHk7VrsTP6PGo04ZRFltF+2z0gkIS8Te4D3ZV0VlUi+E0tBW7PV3m91FsFnH1sJ6thZ6Kz9SY/zptTrwM2qGtDwNwt+kJSc5iEOnmgkNMHgIXz8fDSql6EX+DKLf7uKznRXcvzIfhSigUSnZUljHnHHRTMgMIyHCl7e/HD43paiinSOlraTH+bsDmJ0SO4828OhLe7h7RR4P3TIJi9WBSilSXtfJjLxIrpibQl1LrztDLCmYwlPNw2bdNLRZOFraSmqsmb1Fjdx/7TjauvqRZJkgPx0BvlpaO/tZuSiNrIRAnnnbnQl2fi13eEOS3NvucErDhpoPoqHNQnZCIA6HRKi/nsZWC3qtimPlbYQH+ZCXFozDITEjNxKb3cXWwloPb50U5cfVC9P48+qDdPba3C2aP5jKl3ur2X2sgd3HGogJNRLopyM2zDSsrdmoVw1YEN3kr9PlVpwdL2/jJ1fns+VgLZfOTEIlCnT12LzIH3BfZ1Z9dpKfXJPP6+tOMjErjEWT4+i3OUmONqMQBXqtdnptLvQaBQVpQaTGmCmt7WJrYS2VDd3MHRdDxIzr6HzrV0j93gsXpukreLewg9aufl4/Q1U4iLPb0/yMGpo73Hqiz3dVMT49lD+s2u8ZAzz6/cnsP+G+9+85K5dv7/FGlk5L8ApdPhOXzEzksVf3Y3O4SI9zN9k5XRJ+PpohJRKD+GhLGdNyItCoRMYmBzOnIBqbw+U5phUKga2FdWw7VEd0iJGpYyMI9tez5WAtH2wp8xBQP722gEMlLUSHGdGqFSgUAlPHhDNvfDRatRJJknjoxb1e+XiDiA4x0tTWx4SMUJ557zDTciKxOVyolCKxYSZuXJrBk28VkpsSzNtfDiWAwwINjE0OIiLIwLzx0WzYV+OxrW4trGPZzKTv7qB7FP8y2rr6kST5vKyAPxuxoSb8fNR8sb9mlAAaxSj+i/GdvRd1dbk97iaTt6Ry8N+Dj38bUP4LKf9KpYKy2k78TTruvTqf8tou0mL9WbO9YkjOB0BOirvydNHEOHoO23nijUJEUWBydjiXzkzkL28VeknZZWR0WiXp4b489OIe5o6LRiEKvP75Sfr6ndy/ssBDggwHN7nkT2SwgYyEAJxOifZuG7uP1SMKIkFmHb+4YTz9dhcCoFYp2FvUxImqdr63NJMAXy1Pvlnoeb+WDisNrX1U1HWxZErckO+YFutPbLiJt86YZPn6aNiwz5ssOhP7ipqYmef2Ldc197J4chyzC6LZfqgOSZIZlxGKQavi96/tY+rYCMwmLWqlwNULUjEa1NgdEgatEpvTxamqDt7fXOomtNrgwed3c981+by5vpjjZa1878IsHl99wNMgo1SILJwYy80XZfH3D92rs9sO1TEhM5RNZzQ+1TX3sHhyHE9/Us4PL1xEYtI0FMUbwGVHmTIVm38S7+9tZ2xykCdnRxQF7r4qlz3HG3n4xT2eSU16nD+P3jaZN744iSTJLJgQS1N7H//46Jj7dYI71PSDzaVIMhSVt3HrJVk897736nFksA8XTI2nvbufd744RUuXleQoPy6dlYSvToXwb6ytVQxYagb//5vCv3IOKkSBYP/hVVLdFjtdFjt9AyvRJ6s6hiVa31hfzC9uGM+GfdXccEEGkizjdEmolCK7jrrDz5dMieOjbWUsmhRHSU0nF05P4M31xUPea9rYCA6dOh2WPBhYKgpwy8XZrN1RwfI5SXRbbKiUCh57Zb9nEhQTauTOy3NYuSiNVz/1JrXiI3wZmxzEIy+Vkx4XwLj0EDp7bKTF+LvtXQoRl0tCo/CmDcx6JYIgIMsyLhmae2y8/eWpgQB3I8tnJeNrULO1sBazScu88TG8Mcz3evTtUzx/14+Rm0qwHN4AooiQNosKmz9/fLdkyPOn5USMmOnV3tNPSXUHswuiPUTx2Vg6NR6zUcNtl2ajOYNESx5QSY2E/SeauWZhGq+sPcGNSzP48xsHmTc+mvEZoQT56UZ8HYDDIbH9cJ3HOigIcOdlORQWt7Bhf41HkZMY6cePrszBOpDD1m93T5g3HxzZrrmlsBYZd3GAm7xoRBQEui02Hrh+HA+/uJfUGDMTM8MYkxKEQ5LRq76d5pmvex5mJwVS19KLVq0YkkUzCL1Wxa+e301nj40pY8K5dlE6De0WPtxa5iFslAqBRZNiuWBqPNNyIlCrFDidEuX1XTz++mlC3dLv5J0vSwjw03rev6qxh1XrTnD7srH8afUBD4kObuvR9y8dw7ubSrhgajwb9p/Oqmlq76O2pYfUGDP+Ji2dPf28v3nknJ6thbXcsXwMdS29bNhXxcy8aN7dWOJFWKXFmrlj+VieeeewV6vX7mONLJkcy/IrH8FZugdn9REEvR9i5lxcphDWfjByA91g+5AgQG5KMDNyI4kPNxEf7svG/dWU1XYRFuhDTVMPQWYdfj5qQgIMXDQ9gU/Ouj9v2FfNrBEyQkID9DS29Xns6/6+Wg/ZYnO4RiT5XJJMe1c/v7ppAu1d/fjoVTz/5jEPYatSiiyZEsc9K/Lw0an4+bM7iAoxctmcZP646gCSLHL9Ben4m7RcND2Birou/vT6QSTZ3aanVoqolCIP3TKROy8fy4P/2O1l0/TRqbhuSTonKtvp6bO7LfbFzUzJjsApuTDpNTicEvevLECnUXLPX05nmYmiwM0XZSEAG/fXsPNIA1mJAfzqexN4ZW0RZXVdyAP7XvkN3+u+Dv6V++Fw+Hfdr/+boVCIVDe5j+EAXy0KxflMx7sVcAWpwWw4UEvHbNtX3uv+PdswepyNYhT/bpxXBFBPTw/NzUPbYc5GVNT5G04migJms+Ffem1EkJHwYAPvbihhb1ETv/reBLYfrh8yYAoLNBAeaCAm1MhvX9nntZJV2dBNXLiJ25aN4Y+rDnj+Pis/CoNOhUGr5NrFaUQFG/nNC3u8t/0c7RRqlUhilB8d3f18sbfak90zeUw48yfE8M6GEswmDRFBPqTG+FPb3MvY5CA6uvtZv7dqSNUuuCe0H24tY3ZBND+/YRyFxe42mwkZoRh0Kn79D291TEV9Fxr1yPkhGpWCzl4bGrWC8CAfth2qw2zUcvXCVNRKBQ+/tJfUGH+uXpDGh1vKeHdjCQG+Oi6ekYil34GPVsVHW8uGDY202pwcKWv15B79+h+7vFbonS6JT7aXc9X8FE81bkePjRm5EeSnhaAQRXqtdgL8dPRanVw1P5WXvixHEARmjF1EdkIAvr4+/P61AyycHOshfwBm5kVxsLiFrYXek2B3NsZB7lmRx44j9azfU0VipB+SJKMQBX5w2VjMRg2P3TGVHoudyoZu6potPHLbJA6ebKaz1056nD/BZh37TjTz8prjnvduaLWw/XA9D906iayEwBH3+TcFk+mbG2T8q+dgcXUH2QmBfLy1bFglnDv3QmZGbiQvry0iOymQWXlRaNVK7A4Xmw/WcrC4mcOlLUSHGmlotfD8x8eGvI+PXk1MqImTVe18urOSFfNT+d7STD7aWkZLpxWjXsXSqQkE+ul46m03aWoyqDHoVO7K9fgA9hY1MnVsBF29/RwptQ2xzlQ19vDwi3t45LbJxIaZKDzVQl+/k6yEACRZ5vHVB5Bk9+/8wsfHkSSZ1NgAzOewCQ7C4XSxpbCWJ9885PlbQ6uF3ccaue+aAmbkR1FR18WEzDDK67q8go4VosD3l41BZfJHGzgZn6Q8EARq22w8/sTWIbk56XH++OhUIzaxfbrD3czV3GFl/oQYL+uPIMClM5M4UdmOVq2k3+5Co1Z4MkGcTgm16lzXE5Fui52546J49dMT/OiKXOpbLUSHGEFwk9TDVa+DOyD6jS9Ok18TMsMor+/ii73ebV6ltZ088uJeLpuTxPubSrnrqjwa2/u+YrsUVDf28Nz7R7n5oiyaO6wcOtXC+IxQTwPayaoOfvvKPm65JAuVUvG1ftdvGv/MeWhwurBYnSycFMsHw5AnJoMavUbpuS5uP1zPVfNTefLNQi+VmdMl8/G2Cgw6t3V40eQ4Hnlp75D3A9h9vIHf3DyRrl4bBWmhgJtQ/HRHBXdenkNnj41T1R0EmfUkRvry+e4qZuVFkZ0UyJd7azDoVB715b4id0PdkdJWHrx54ohNZQDt3TYOnGzmi71VXL8kg6KKtiGE34nKDn732n4WTYobUuu+ZkclydH+7CyNID4kEX+zD3XFVmblq0mI9KWsdujiV3ZiIMVVHei1Su6+MpeTVR384m87PZlX916TT1evDadTwtdHzS9vnICfUcPty8bw5hfFzMiLYu2O0ySQJMOLnxxnypiIIQtHPjq11/2rqa2P/LQQwH1OngtqlYKdRxqYnB3Ob17Y4zX2cTglPthcxs0XZbFudyU9fQ6KKtp57dMTPHB9AVq1ire+KObvHxxDp1EyPTeSn10/nj+tPoDF6mBQH/jWlyWE+Ov4zS0TKavrorLePWZKiPTD7nAhSTL7TjZx7eJ0PtxSikGn4q4ndnLV/BQALpmRSE+fW8FnHfiaV85L4Uhpi1ewd11LL1sO1nHfynz+sOoAk7PDMJu0XiT0fwL/nzHpSPgm79f/C2g43oQoCESG+n4rBOA/i8ljI9l1vIk1u6q4+6q8b207Ro+zUYzi34fzigBat24dP//5z7/yeZ9++im+vm5pYk+PN7HQ3e1eCRx8/D8NSZLp7j5XTOPISI0x09RhZc/xRmQZ/vb+Ee5ZkceWwjr2Hm9AoRCZlRdFVmIg63dXEhFsHFbGXFHfTWe3jegQI9VNPSRG+pERF0B5XRfvby5jxYIUnv/Ie2La0tnHrZeOcU/YjjV4DWAFwT2B6ejp5w+rDnhqoAG+3FvN/qIm7r06j6NlrTz9zmGm50SweHI8eq2SjftrRqyI16gU/OSafD7dWcHG/dWMTQ4iLyUYH70Kl0virqtyeWdAYRAVYiTUX09abABfnjWJGsTsgii2H6rj+iUZvLymiIPFp8nEaxens2xWIiDwuzPqs5va+3ju/SPMLojiwmnxlNQM395k1KsID/RhYmYY7d39Iw7w1+6o4PolGRwtayUrIQCnS+Yvbx/CZncR6Kfl8jkptHf3c7y8jasXpmHQqrD0O3hnSxWZ8QH4GdVEBvl4heeOzwjl96/tG/bzKuq7ae6w8vaXp3C6ZC6ZmcTNWhXZiYFsO1zHa5+dGGLDCQ7QYdCqaGjrY9eRBlYuTuPVT4uGvLdLknnq7UM8dNME1P+mVSuFQsRk0tHdbfWEUP9/B6v/6jmoEgUKTzXzk2sKePKtQs/kThTdqgK7w8XbX5Zw/ZIMd9aPWkldSy8NbX0cLW1hVn40k7LDOFraSkZsAFGhRoxfqryUBAA1jT0smRLnIThf//wkSVF+LJ+dhMmgod/uJMisczfbyO7z79ZLsggx6xmfHkJbt42wQAPvbixh2awkXvzk+JDvAu7cifqWXj7bVYljgOx49dMTXudvYqQvh04109xhZfXnJ7lmQSqKr1B8WZ3yEBUZuHPV/vreYW6+KIv3NpXy4ZYybr4ok8vmJHO0rBWdWklyjJlAowarxYbVcvoc8tUp+eMPp/LWF6coLG5Gr1WxeHIc03Ii2HCgmuzEwGHtJrXNvXT12MhODECjEnn0tsmU13fhcErEhpnYdbSedze6VUUXz0gAizAQ9L2f4+VtLJgYy7pdlZ73C/HXU5DuJmzNJg0d3f1Eh5nITwvh0Zf3EhnsQ7BZj69RzfcuzORnz+4YolhZOi2ewlMtXrk7U8dG8Je3ChkODW0WVCoFrV39fLqzgsRIX6aOjaC8bngV6+Qx4bz1hVsZ+dpnJ/jh5TluxU9WOA2tFsYkBXK0tI3Pd1fS2+fAYXLR0TG8Pe5c+E+fh0G+ahZOjKWhtY/dZ1iOAv20fP/SMV7HeW5KMPWtvUOubYNYs72cWy/JHjEMGtxKDJNBjcsl88fXD+B0SYQFGrh8TjKFp5q5cFoC0SE+mHy0SJLEpTMTqWrsprGtj7HJQcwuiGL9nirWbK/AR6eipdNKt8XOJ9vKyYjzp2aYPD5w29EqG7rp6rWj0yi9mq/ORHVjD2ajxtMgeSb2HG8gyKznw5015CQHc/ncZNZur+C2S8bwzLuHvGrkU6PN3HZpNkcHyKnn3j/iRRLtP9HEkZIWfv+Dqdx2SRahgQb0KhGX3YWl38GOIw0snZbApKwwrHYnsWEmLFYHu442EB5kIDbUSOUZCzyNbRYSIhI9/y6p6eTKeSnoNEoaWi2EBxqGtWvqtUokWWZfURPhQT4jKoXe31zC5XNTiAjyIT8tBEmS8TVoWLO9gv0nmnBJMg6n+3c4WtrKTRdl8cQZ6uMdh+v5wWVjuf+ZHSyZEseiybFolAo6LXbK6rpIjPQjOtRIeW0nCybGekoswgN9SIz0o89iQ6Nyh0i/u6EEjVpBTKhpWNud1ebk463lLJkcx8y8SPosNvosI5ODZ+ObIG7+P2PSszHc/XoU54ZCIdLQanEXQPR9/d/+28bkrFA+31vD1KwwEiP/s/Op8+04+6YJ1FGM4nzAeUUALV++nOXLl3+t59rtdlQqFeXl5UydOtXz9/Jyd+bF2dlA/0k4/8XWFbUooFEpPJP/wWrjydlhrFyUjiTLRAQZePAfu7l8bgpbCkeuOt9zvJGZ+ZEoFQpykoP4zQu7EUWRH12RQ31LLzUDktTQAD03X5TFiYp2jpTV46NTce3idDp6bJ4Wn+uXZFBZ3011U4/X5HEQnb02DpW0eLqGtxTWsaWwjgdvnsDSqfG8s3GorWNCRihWmxOnSyLYrCNvUTp6jZJAXy3r9lRR29TLigWpXDQjAbtDoqWjjxc/KeKCqfFDJm3gDvgsSA8hNyWYLYW1XuQPwCtri/jLj2fw0Fmqp0Fs2FfDBVPi+cHysdS1Wnh3Q4nnuwb4arnz8hze+qIYh1MiO3FkRUxXr7vmW69VkpMSTGePjVl5UXy2q5LWzn6eefcw1y9JRxQFr5BIcOcmpMb489q6E0zMCmNschCHTrXgkqQRFRAAze196LUq1CqR3j47aqVAn83OOxtKhoS/mgxqEsL9OFHZztxx0cQE+1BS1zViSGxDqwWLzYl4DuXVNwGXS/qXz5vh8K+8l16jRBQEiira+P6l2QiCgN3hwmRQs/NoAy+vKcKgU2HUq4gONfHF3mpqGnsIDdBz+7KxbD1UR2evjYWT4mhqs/DymuP8+Ko8Xlxz3KOA02mUxEeY3KHpZxCjJTWdXivpt16SRVqsPwatitkFUWzcX0N5XTdqtcjqdaeVJUF+unPmppTVdXHJjER+9txQa0iwWYdBp6K5wz3B2VpYy6UzE9F9BdnX0WPzhKf6+qhZNiuJ8EB3k5Ze694/KqWIn4+GQD89h0taqGp0N+QF+ukwapWIw/SSG5QiNy5Jx7EwDZDRqhTIkkRGbAC7jzWydGr8kEyjEH89eWkhqAWYkB6KzSWxZU0tff1O6lt7vYjUj7eW8+e7pnO0tIWHb53M57uraGyzsGhSLOv3VLktHILA9sP12B0upo4NR6lU0NJhpbXTys+uH0dPnwOlQkAUBT7fXckD141jb1Ejx8ra8PPRsGBSLHqNkpqmHgxapceGq1GNbG0CtyXWz0fDl3urCTAlM3VsBHuPNw5RGOWlBuNyybQMTEqtNidmo4biKhf3/sWtoBIEyEsN4b6VBbR09NHapSTCrPtWquD/2fNQKQoUpAVz8YwEWjqsBPrpqG/t5R8fHaPhDNJg7rjoYZUug+jpcxAa4B60KxXCsNfPm5Zm8tgr+7wa/hpaLTzxZiG/vHE8eo0ChUlLn93Fz5/byV1X5rL7WCMHi93tlBqVggumxvH9S7Px99Xyu1fdCwtbC+v4813T2Li/ZoiiTTtYrf6PXYD7lnkukqqtux8fnWrIgoPDJbNwUixzxsUgCG6F7uQx4by74RSXzEwk2KzHYnWgVinotznRKgUmpodQUt897H6zOyVWf36S2y7OQnZJ2O0ulEqRyvpuQvz1KESBq+ansuVgLUdKW/E1avjRlbkE+el44IZxHDjRzIZ9NQiCm+yMizARE2r07NvX153knhV5fLKtnFsuzuK3r+zzOh9EUeBHV+Sw9WAteSnBNA+zsDWI1s5+EiP9OFbaymOv7MM1oHidlhPJPSvyeHz1Ac/vXdnQjWsgY2rwnHEMFFgArNleQU5yMI+9uo8gs44ZuVHYnC4sfQ4OFDdT3tCNUe8u24gONXKqpp0xcQE4HS4WT4pjz9EGjAY1x8vbRtzewlPN3HRRJlqF8I3e4/4ZfNOf+03fr//bUd/ai5+PBtd3KFcxKy6AI2VtPPfhMX59Q4FXBuF/CqPH2ShG8e/DeUUA/TNQq9WMHz+ezz//nGuvvdbz908//ZSEhITvVAD0IKSBQOUz4XRJHkIF4Im7pjNlbARBZj3iOeZpoigwLiOMovI2Hnh2B2mx/syfEENjm8VjIbP0O7jt0jGeYMxBHDjZzOyCKO69Og+NSomPTsW+E00cLmkZ8fP2FTUxKTsMcE8Kr5ibwqnqTsy+Wi6bk8zaHRVYrA40KgVzx0czbWwkSqVAj8XBh1vKSYz0Y+nUeO776w4PGfGbF3bzw8tziAkzcrKqncQoP/RaJUunxlOQFsL2Q3VY7U7GZ4aSGOlHd4+Nlz89MWKWUbfF7hkEDoejZa18vM0dPv3DK3J4+p1DtHRYuW5Juue/A3y1nonFcDDqVSgUAvesyOO5949QUd/NykVpTMoKY+eAtey9TaV8b2mmV0D12KQg/I1a/vj6fupaLPT22XngunGsC6hEqRBRiIInTPJshAUauPuqXGqbe+nps5MaF8CxslbuXZHH6vXFnpXozIQAls1K4q/vHaa2uRdBgL/eOwvxK3T5X/X4fwsUCoHpuZFsPlDLH1YdQKlwVxCfOVHJSw2mtauf3zy/2/N7FFd3sPVQHbdenM3Oo/VoNQqC/fX09Tt4+t1DXDgtgdAAAz46FTLw8dYyEiL9hl3ZH0RUsJHkRWaOlrby+9f2u+1LKgWP3T6FjzaXYel3IgpgNmkx6oeqjAYRbNZhczj54RU5vLm+mKb2PkQBclNDuGBqvFcul9Ml02t14ON77oHq4PHgZ9Rw15W5vLzmuJfiYHxGKPevLECpFHjyzUNepPHG/bVMz4ngmgWpw5JAsktCKQjYXHCsoh2HSyIh0g9/k5buPjs/vbaAPccb6bU6yE4IJCclCK1CcK8SyjJ9VseI579Lkqlt7iEjPpDfvbqPxCgz/XYnCybGsnBiLC+vLfI0EIG7ZSw0QM8D143jwMkmNh+sRaNW4HLJnkn7tsI6/nTXdGbnR9FlsWO1OdHrlEQG+/DE3TPoGPjuPgY1GpViRDVkkJ+OrgFlwFtfniI52syV81OwWB1sK6xzX8/TQ+nps/OPj7zVV3aniw+2nFZHybJb1dHVa+O2S7O9QuLPdwiyTGZ8AO9tLkWjUhBkjuAvbx0a8jyVSiTwHNkUBq2S+tZeKuu7+eHlOTx+VvCwyaDGx6DyIn/OxEtrirhnRS4mvZr3Np3kirkprPrsBGVnqLJsDhfvbizlsjnJyLLsOZdn5UfR1mnlJyvzeePzYs9rkqPNXDE3mVWfnfBYrUVRGJGgAggwaYf9/abnRPDEm4Wcqu4E3CTX4snxpMT68/jrBxEFSIj04/ZlYwj11yG7ZESlMKy9eRAHi5txuGTPoFCSZOLCTWTE+9PZY+d3r+3zNCSCOwj68rnJOJ0SJ6s6uGh6PDqNktLaTnfT55W5vLPhFLuPNVJW18U7G09xw5IMFAqB3/9gKnuLGimu6iA80Ifc1GCq6jtZPjuZmuYe2jqHV3aBO9RdKQr4++qQBq4hLklm04Ea/IxqblyayXubSjyFFEdKWkiM8vPc+/PTQjh2BmHz8bZybl82hqfePsTqz0+reMIDDVy9II31e6q475p8/vbBEaaNPT2uDPTT8csbx9PYbuVwycjRBYIgIAzsz1H8b6K+xUKgr+bb3ox/CqIosHhiDK+uK+blz05yy9KM8649eRSjGMW/ju8sAQRw2223sXLlSn7961+zcOFC9uzZw5o1a/jzn//s9bz09HQuuugiHn30Uc/ftmzZgtVq5dgxtxVq06ZNGAwGEhMTSUxM5NuCTiUyLj2EvQOZAmciJcaMQafkpgsyEESB3j67J/D3bEzLieChF3bT2NbHzLxIjwe/sa2PivouLp2VxK6j9azfXeVF/gxiw74aZudH097dj2ugdexcKwB6rZIpY8KJD/fF5KNm++F6Pt7qXq3PTQnmJ9fkIwjuVqWIQAP/+OgYNc29XD4nGYALpsbz4prjnkHSjNxIpudGUlTRRnFVB1PHRuB0Srz4yXF8fTQ88cZBclKC0WmUvP1liSekczhL3CC+agV8MMulpcPK0+8cYsX8VF5eW4TTKdMyoJJoGwinNBnUwyovLpyeQK/Vwdrt5cSG+TI2KQg/Hw3LZiUxIy+K0tpOPt9diUGnAtyE0ZxxMUzIDMUlSdx7dT52p4Req6Sru59+m1uBMiM3kg37hwZgR4UYEUWBX/9t1+lJhQAXz0jEoFVx/8p8aprcZE9JTSd/Wn3Qs92yDM0dfUSF+Iw4CYkOdeedCKKA/N88gBUFnvvgKE3tfdx9VS5rdlTgdEk4Xe7w0em5kRSkhRDsr6eh1UJGfIBXgLAsw8tri/jRFTk0tvbxl7cLeeC6cfz8uZ288LHbuhITamT+xFgumZGIVqNg7rhoPt1ZOWRTQgP0NHX08dd3D3PThVnkp4ew/VA9NoeLtu5+Hrp1EqU1HWQnBlFU0c6CibG8s2Goys5kUBMZYsTplIgONaG/IIMAXx1tXVaOlbfxu1e9J3QGrRL1GQrEkeDro0avVXLlPLeV9Gyry57jjei1SjITAoZVDG4prGPRpDiCTeohnyULAgdPtfDsB0e9JkwXT09gTHIQT75VSFqMP4mRvmQmBKBTil4S8a8KjVSIIp/tqiQ/PZRPtpVz2yXZrFp3gqljIrzIn0E0tvWxcV81d16ewyMv7R1SG33PNflsK6znzS9OIsnuY+W6xelEBPvw2a5KdBolWQmBdPXYWDAxho+2Dm1lCzLrcLokr9/CJck89LddBPpp+fFVeWw+WMMLnxyjq9f7mnMu8q+kphO7w0WQ37ej/vlXIMtuJeyymUn02ZwcLW0lLzV4yG9T12whI96fn18/DodLwuGQ+HJ/NUcGMpDmT4xly8E69p9o4ql7ZvCDy8by1hfFNHdYCQ3Qc+3idE6cERqu0yjJTQkeqBHvoKqxh+YOK7IMxZUdTM6O8CJ/zsQn28p55LZJ3L+yAIUoEGTWcd8z2zEZ3Ja2y+YkE+in43BJC0+/c9jrnHBneUUOacIEiAjyoc/mGKIiSoj0RZJkD/kDbvL2o61l3HRhpqfFrKSmk93HGpiSHY6PVkFzl80TBD0c3Pf30weKJMnEhZk4VNrKloO1XsfnIN764hS/+t4EPthc6qWC8dGpuH35GEx6Nfddk0+gnw6L1cGWwlrW7qgE3PleoQEGqpu6+WR7OWajBo1GxbPvHeFn14/zUtCdiSVT4nj2/SMEm/Xcekk2z753hOzEQHfwc303Te19XD4nBZ1WyYsfH0enUdJrdd+/dRoliyfH8dgrpy3Vh0taUIgCT949g93HG+jqtTMmMZDQQANNbX1oNUoee3UfF0yJJz3eH5dL8oQqaxQC0YE6jPqIIa1vgxiXHoJaKcJ5YGUZxX8ekizT2G4hKdL01U8+z+Bv1LJgfDQf76gkNcbMjLER3/YmjWIUo/iG8J0mgPLz83nqqad44oknePfddwkPD+fhhx9m4cKFXs9zuVxIkvfN98EHH6Su7rSF6oEHHgDgjjvu4Ac/+MG/f+NHgiTzvQszsTkkL8VNaqyZqxek0dlrZ291E4XFLSyblURcmImKsyprsxICUClFGtv6UCpE5o2Ppr3bxm9f2edZpbQ5JOaNj+G+p7ePuCm7jjUQ6KslIz6AXoudaTkRHC0bvjVndkE0nT02/H21fLmnmk/PsGgdLmlh6dR4XlpbxKUzk6hp7kWlVOCSJEID3OGkWrXCExw5My+K6FAjDz5/OgR6zY4KkqL9uOnCTHr63LXPO482eE0Se/rspMcHsHuEVU5RgIx4f44XW00PAACot0lEQVSXDw1uVStF/IwazwRr0JJx1xW5FFd7P//1dSe5+8pcnvvgCI1tbsJJFAVm50fhb9S6G7kmxrL/RBN2p5P4SF9OVnXw4ifHSI42c9cVuQT76/jV9yZgsToICdDz9penOHCiCUl2W86ump+KRiVisTr42bM73DX0VodXoO6YpCBuuySb3ccbmDwmgl1HG3C6JCTZrTJ6+NZJADz26vD5QeBu1lGLArdenM3T7x72ekyjUnDNwjT+8NoBHriuAPV/8eKP1S6xt6gJQYDNB2t59PuTOHyqld3HGrhqfipbC2s9Fckmg5qLpieQlRjolftgtTmRJBmlUqSv30ljm4XIYB96+xzccnEWbV39FBY3U1zZzrwJMczMj6K3z8G2w3WeCXpMqJEblmbyl7cKcbpknvvgCL+8cQK7jjR4KqgPn3KHTG/aX8uJ6namjY1g7rhor3apsAADt12ajUohEOqnx+mSsNqclNV2svlgLaW1nUPUR4snx2PSqZAkCYVCxCHJyLKMWiniOuO5mgG7Bggj5pxsLaxjcvbIg8XNB2tZMTcJ+1mESlefg2feOzLk+R9sKSMtzp8/3jEFpySjEASUwtBVdYNGOWLGiMmgxuZwse1QHb++aSI7D9eh0yrRqZXsOjayMmLb4XqyEoP47fcn8+YXp6hp6iEs0MAFU+MQgNXrTx8DP7wih893VQ25Ti6flcSEzDC6eu3uFq+BzY4OMXLjhZk8/c4hz3P9jBpPvXRvn4OWTiv5aaF8sdebJBAFuOOysXywefiJJ0BTu5UwP915kaPwdSHLbhWKn15FdKiRnNQgMuL9cbpk2rtt7D3eSEqMH+t2VbL5YK3nnLxwWgJjE4Ooa+0lMtjHs192H21EoxJ56JZJ1Db30NRuZWthHYmRfoDbepscZWb3sQa6e23Myo8iPNCHID8txyvaiAj2OaclyWpz0trZz2Ov7kMhCkzMCuO+a/J5/PUDnga+CZlhmI2aIYTopv013HN1Hg6Hi+1H6j1/jws3cePSTARBYOHEWPafbEKtVDAzP5KxScH86h873Y2VDsnLQrZmRwVLJsd5FoZ2HmkgMdKPyGAfHnh2Bz9ekTss6QywYEIMmjPOdUEQcElg0qu91Kpno7aph8gQo1fRQ6/VgSgIrNtdxYHiZn50eQ6vrztJbmqw5zlFFe1ezX1pcf6UDqj3jpW18ssbJ/D46gMei6pCFFg4KZa81BBeX3eSoop24iN8mZkXSV5qCI++vM9rXwSZdfzwihyQZf72wRHmjY9m3vgYmtr7vMKoDVolE7PCUCgE5hRE09HdT1FFG//46JjXglJcuC9apThkJcnlkjFolSyeFMvas/atr4+aaxamIcoS350zcBTfJDq6bdgdEmaj9quffB4iNdpMVWMPb35ZQkas/7fSCjaKUYzim8d3mgACmD17NrNnzz7nc4qLh1YRb9y48d+1Sf8vCIJAQ4uF1BgzF06LxzbQXFPb3Issyzx0RjPGicp2vn9pNlabk80Ha91htRNjCTbrPe1DOSlBgMDT7xz2mvB9sq2cgrSQc8a9SpLMgeJmPttVyT0r8qhu7GF8RqgXCQFuW4wkyTzw7E7GZ4QyMSvMQwCF+OtZuTgNpyRx4bR41u4sZ0xSIFfMS6G714YgCPzm5omeAZkoCkzLifAifwZRUt3JkdJWZuRFcu3iDAQBWjutvPXFKTp7bTz73hF+eeN49hc1DlGzmI0ags06brtkDD9/bqeX6kkUBW65JHtIFX1dSy/HytrITvLO/Klt7uXZ949wycxEAn216DQqTD5q1myvQK1S8Mn2coqrTodJ7zjcQF5qMDddmMWz7x/h8dUHeOz2KYQFGrD2O3n+46NepFRbVz9PvX2IOy8by/cuzKS0tpNT1R1cOD2By+Yk09zeR2SwDx09Np774Ajt3f0kRfnxixvH886Xpzzy9vc3lXDHsjEkR5uHrSwP8NXia1CDLJOdFMjPrh/HlsJaWjutxEf4MT4jlDfXF1Pd1ENZXRcZ0X7/tTL2PpuTEH/3ivKR0hb++u4RNGoFt12azQsfH+NE5en9122x8+qnJ7hmYRrZSYEe1QG4A5sHbT+VDd3cekkWkgzPvnuEhrbTpMSWwjqWTo1n6bR4LpubTF1zL0qFSEObhSfeOOjJ/JBlOHCyiezEQHqtDpra+ggP8uHhl/YyITOMYLOeZ949zPwJsfz8+nH0212olCLt3f2s213JZXOS+cPqQm6/NJushAD6bC4C/HSAjNXm5L2Npe4cnMlxTMgKRZRlnILAkbI2Pt1Zid3hYtrYCCaPCUcjuq8JkiSTFG6i+BwZLC5JPme2iUsa+phCqeCznSOTGe9tLOXeFbmoBnbMcIeiSoR7r87nZ8/t8FIsqJQit12Szbsb3blYGpXIA9eNZ93uyoFq+xE/FkmS6eyxEWTWERtmYlx6CO3d/ZRUd3rqx8FN0tc19w5Lkr+zsYSkaDNmo4Yn7ppBU7sFf5OW0tounnyz0EMMqJUi96zIQ6NS8PCtkzAbNfTbXRw+1cKDN01ga2EdNc09RAUbmZQdjr9R46UEORt+RjV2SUYpfLUC8nyDgFuB0tbdT3VjD+X13YQGGHjw5gk8995RjlecJiW6LXZe++wEN1yQQXyEL0+/fcjzfVVKkbz0UNZsL/eqM583PoalU+NxOiUvknzfiSaCzDoevGkiX+ypZuGkWI9iczgozvBiuySZ7YfrqWvpZeXidJ4dIDP3FjXy8+vHcbyizYsocUkytU09XLcknSvnp9BtsaMfUOKt211FSXU703MjWTAxlurGbiobu6lr6eGeFfm0d/ej1ypxOCTe3VhCdVMPjW0W/H1PTzQlWUajVtI3QCgeKWnl4hkJQ5rWYsNMzJsQ42Uztsvue+BXQZJl8lKChzR9qpQiNy7NGFDgOGjrtpIU5Yevj3qIkk2pEJk7LoZHX9qLIEBOcjBPvl3I8tnJ+Bk1OJ0SGrWCnUcbWLujnAmZYew4Us/nu6u4+6pcfvbsjiHXm5YOKx9uLuXmi7O4+6o8dBoV7d1WNu6v5geXjfWyNocHGui3u/h8dxWFxc0YdCoumZmILMPfPzyKQavE10eNMMJJpJBlLpqewLiMMNbsKKe3z0FuajBTx4RjUIs4HKP0z/8qBhcjAn2/mwQQwMycCMobunl7Yym3X5L1bW/OKEYxim8A33kC6L8NoggtnVbe+tLd8iIMDNyXzUrirS9PedmOLFYHf1h1gNgwEz+7bhxKEVQKkaoWC4snx1FU0U6Qn56O7n7PivKZ2H28kfy0EPaeRegMIjsxkI37a7DanPz+tf18b2kmF89IYOHEWHYcrUeSZHJSguno7udvH7gHunuONzJ3fDS//f5kdBolWo0SAZmthXUUV3cybWwktS293P/0Ns8EzqBVcs/VeUzMCqWr186R0pGzhtbtqiQqxOhp9YgONfLAdeMoq+skIz6Azh4bv7hxAqs+c2cBiQKMywjl2kXpqARQqUV+d8dkjle0c7ikBX+TjuzEQD7fXTkk4ygkQM+qdSeZVRCFTqP02odN7X08+94RLp+bTGqMP509Njq6+2nu6PMifwZx4GQzE7PCPGGUO482cKSkBZtDYunUeGLCfPl0oGZ3TFIQM/Mi3fXXksTWQ7UkRJjpszp48B+7mZ4bSXF1Bx+ekftR3djD1sI6fnJNPs0dfTR3WGnr6sflkvnRFTn86h+7PDY2OC3R77HaCfRRY7VJ/Gn1QcZnhJISbaa+xcKDz+/2ED7NHX1kxZr/awkgg1bJ95eN8SJf1EqRtq5+L/LnTHy0tYzvXZjpIYA0KnfF+IufuIPGY8JMGLQqNuyv8SJ/BvHxNvdExqgXefKtwmEtFgDtXf2EBRoYnxlGSXUHH20t8+S8/PTaAjbsq+bz3ZVU1Hfh56OhodVCdVMPd12Zw47D9Vw6K4maFgt7jjXw5b5qz8TYZFBz/7UF6DRKDFoFSgScMvzlnUMcPWPFv7Khm892VfLIrZNO3zBkdxbHSBhsWBoJM3IjcZyVhyPJMk2dIystBu2o58o+kySZIF81v//BVHYfbaC6qYfQAAPpsf68u7GEsroupudG8uGWcrotblKn8FQrV85LHTEfZWJWGKEBOnRaJev3VGG1OQn003LVvFQva9KUMRF8sm2oxWsQe4sa6bHY2Xmknl6rg5NV7Vy9II0lU+KoaugmOtTkabd6Y30xPlolF05P5A+vH3AryxQi4zJCSIn2Jz3Ony/3VXH57BQmZYWx/XD9kM8L8tPRY3FQYu0iJcoPQf6OTEIFARQiPf0Omjt6efjFPZ57RUOrhbnjor3InzPx9penuGWAdB1ETkowf3mrcMh1+bNdFVw+J4UfP7l1yPu0dFh5b2MJceG+yLL7ehngqx22dWxSdjj7T3hbtivquzHp1Z77hiTJ/Gn1QbfF1+Fix5F6jHoVM/OiMOpViJKETiGgM53OCblkahxOKRalKGB3QXFVB2OTg9h6qI6tZxRA+Bk13LF8DKs/d5cUnHmdH58RyjsbTg3k/WXzp9UHuXBaPL+5eSL7ihrp7nOQnRiIQhS45y/bWDIljlm5kShFgQ83lqLXKgkP9CElxjzsfQ3cNuSYUJNXDpVeqyQ0wMDWwjo2H6wlIcKXK+el8o+PjnHXlbl8sq2cwuJmJNltbb/5wkze/PIUNoeL5Gg/Khu7qW+x8MyAKlU4g8DUqBX8YPlYdhypx+GSaOm0jhiwfqikhZqmXnYeqWfR5DiiQny4ZGYSRRXt1Db1EBVqJDnKjKXfwSMv7fWyUxZVtDMhM4wV81MBGa1SwOUc+f6nkGVigvTccWk2TklGrRRw2Fyj5M//OOrbLCgVAr6GoZbn7wrUKgXTssNZu7uKsvouEsK/nZblUYxiFN8cRgmg8wwul0xM6Gmv8OANIzna7KkzPhuVDd0UVbQxJt6ffoeLT3e482cunJZAQ5tlxMHRpv013H9tAcfLWod47SdmhlLX0ushPZo7rPz1/SM8dvtkJIOMRqmgudPKc+8dofeskMpPd1SyYGIMYf46+p0yvX0OMhMCiY/0o7vX5iE6BmHpd/LIS3v5453TWLXuBL0jZFoMPjcm1DgwRxCJDPLhaFkLydFm7n5iC4F+OrISg1g0OQ69RokguKXbSlnykBcqUcRHpyI/NYSePgcPvbB7iJogPNDgsaeIAvzqe+N59OV9XgTclDHhRIUY+c0Lu4kI8uGHl+fw1/e8bVRnYseRevLTQvhsVyXFVR0E+xvYsK+aP75+gJsuzCQrIYAZeVE0tffx4ifH6bbY8TdpuWBqPIIA728u5foLMgjx1/ObF4YqpBwDTS6LJsfx8poi0mL9USkEZGDlojRcLpna5l6CzTpMBg2vrClCkuGX149DpRTw0anYfLB22G1PijJ/p2wk/ywMWiUfbq3zatsxm7TDEjeD6LbYUStPt6PduDSDT7aX09xhxahX4eejQaEQ2bBvaL7HIPYcb2DZzCQSIvxGtFdmJQYSHmjg6bcPcc3CNI9NwuGU2Hywlp+uLECtVlBU3k5LZx9zxkWTGutPSXUH72woYfOBWu67toAv9nrXTXdb7Pzm+d08efcMlLKMKEJ5Y48X+TOIlk4r6/dUccHkWFxOCVmWMRrUxEf4DltXPiMvkiCzliWT40CA0tpOTg4QaQXpIQT76ZDPGg2LAmQleCuqzkRytBm1UkT+iuNQGrAEdfXacTjdVtq3Bwh1k0HN7PwoHnpxDwpR4Oc3jGfdripkWSY9zt/LkgJukuuCKfHo1Apcssxtl2QjyTIuSUYA0mL9PSqgQaXDSOjtc6DVKOnqtbF8TjLWfieCAPHhJhDA7pAoqmjj423l1Db38oPLxvLCJ8c81y2nS2LnETdJ9enOCn7/g6n02RzMyIuks8fmFWwbbNbxg8vG4nLJrN9TRWKk73fiZi8LAh0WO3XNvYQFGnj6ncNe12Y/o8arDexs9FodqBSnz8k546Kx2Z1DrIqTssK4dFaSV9382dhSWMddV+bw+OsHuG5JBj+7fhy/fXmfV5FAZkIA03Ii+P1r+4e8vrqph2CzzhM03dfvQKdVEhviQ1a8P7IsY7U6RpRmuZwSAm6VkAK4bHYi6/ZUe5E/AJ09Nv60+iA/uiIXu8NFbXMPCyfGUtfSS0Z8AO9tcqvqevscRAb7uJuvUoKpb7WgUip4c32x5zut/ryY+DBf4sKNbDxQg0al4Nc3T+B7YZn8/NmdQ0LM546L5mhZK/4mLSH+eo9l6trF6TicLs/9pKyui2NlbaxclMZHW8qICTWyaFIcJoMaXx8NFfVdnnKFC6YmUHKWYvXMXWSzu1AMNBUmR/shSzKLJsUiSTIHi5s9lrHB18myzOaDtW6Fk0vmtU9P8L0LM2lo7WXPsUZaO/vp7LENm6W1+1gDCybGEB3kgyzJiAoRGTwtYmdDkmSQXAjACHnvo/gfQ32rhSA/PaIofKdawM5GWoyZ3UVNfLKjkh8tH/Ntb84oRjGK/ye+C2PC/zn4GdUsm5VIaqw/TqeMQuGuT44I8hlRkm13uBAEgZ4+OzuONLDjSAOzC6JYODF2xJV6q83J218U89vbp/DZzkqOlrVi0KlYOjWe2DATR0paSI0xo1IqGJMUSH5aCG2d/QT46ggJ0BPsr8dHp2L7oTqvoEq700VMqIntRxt5Y30xFqsDQYC7r8r1DEbPhtMls+toA1fOS6Gts3/IZHUQGfEBIAjcdFEWYQEGdhyp52BxCx3dNn5900Te31TKF3uqaGq3sHBiLAaNiq5eGya9Co3CHRjrcEn87f0j3HxxNjqNzOyCaDbur/HI35Ojzfzwihx6+mw8dvsU2rqs6LUqfvv9yTS29dHdZyc+3JddR+v58+qDyLLbFlbX0jtiqxOAw3E6PDLApPWyob35RTE/vXYcG/ZXexEG7d39vLK2iEtnJuJn1BDopx2wAw7/GRX13Vwx14BKKbJ4SjyiIFBW18Huo43MLogiNcaMIAh09tqQZKhp6sFqd+GnV3LNojT+dFZbDrhXeEOGmbD/t0AUBSw2p2dyPYi+fgd+PiM3d4iigEatIC81mIUTY/H1UfPX944QGezDjUsz+XhrGbdeko3DOfJMoN/u4t3NJVy1IIUH/to65Hc1GdRkJQbS0Gph2awkHC4Js0nrmWg1d/ThkmUefnGPx/a46UAtJoOau6/KxWzU0NJpZf+JxmEJjn67i6KKdvKTA5BhxPMOYHNhLfPGRaMcmPuoFQI3X5TJa5+d9ATAigM10BdOi6eqsYe2Lis9fQ5yU4K5ekEa1n4HcWGmYRvAXE6JqWPC+WBz6RA1lCgKLJ+dBGdZxwRBwAX02VxYbU6MehV6JQQYtVw0LZ6iynY+3lZOVIiRsclB5KeF8Nz7R3A4JRy4lQqzC6L5x4fHePLHM9hb1MiWg7U4HBJ5acGMSQzi4Zf2cP/KAny0SqJCjTzxxkGqGnuIDjHywyty2LCvGrtToqy2k8z4gCEW2UFkJgSwblclKxel0WOxUVTRzoGTTVw8IwmHU+LTHRVY7U4mZYVz+ZwUlArB02R0NhxOiYZWCxqVghc+Ps7ccdFcPCORti4r4UE+dPbaePqdwyyYGIu/r5Y+mxOTWjHse50vkAWBnccbee3TE/xkZT4dPbYhmTl9/U58v/KcFMmID2BWfhS9fXZeXlvETRdm8dQ7h5Akmek5EeSmBvPqp0VEBBtHfC+XJOHno0GS4cVPjhMR5MMNF2Sg16qw2pyEBugpLG7mj6sODHvd9zdpPaSCr4+a2y4dg16rxOV00XeOa8JIsNpcfLSlbNjHXC6ZQD8tdS0Wiqs6kGSYUxBNv93lUSHtPt7AmKQgQvz17C1qGjb0HODNL0+5c4mcEgEmLQ0tFj7eVj5gEa6juKodXx8NCyfGEhNm5ODJZsICDUSF+BAdYmTu+BgqG7q8zgOFKHCktIWS6g4mjQknMsiHEH89PX12fvDHTTicLn5x4wSOlrag1yhJivYbcT8kRvpR32LBR6/iynkplFR3UtvSi1IUWT7bXSrx9w+P4nBK+Ju0BJt1rJifyqFTLUwbG8H1F2SgVilIi/WntLaLOQVR/OQcWYiHT7UQF2riZHUH63ZX4pJk5hZEk5UoIIoCDsBidSIABp0StSj81yplR/HPo77FQqD5u5+bI4oCE9JDWLu7iuom9/1vFKMYxXcXowTQeQhRAI1KyWOv7Pf42oPMOr5/6RhWrTtB2TDZGymx/gBeE7wN+2rYsK+GWy7OYsqY8GFtAlNzIvn7B0cw6NRMz43EZncRG2bilbVFXDwjkcQoMzXNPeg17kOlr99Be3c/Ww7W0WWxkR7rz89uGM9bXxR7Pnvq2AhOVrWz6rMTxISZcLlkyuu7kGXO2dJV32rhaGkrBemhRIcah2QKiKLAxTMSsNmcBPpqvZQ7x8vb+GxXJfdenU9yjB8mg4an3j7kmUga9Sp+dEUucSE+IMt09LqtGDkpwRj1an56XQFOp4xBpyRwoDXn4IkW3t9c6vkN3BlC2eweCJ9+84tTXtu3tbCOvNRgapuHJ+ny0kLYdsi9ejt3fDQ//esOz2M9fQ4UCoFNwzR9AazZXsHdV+VSVttJyDlq6AHUKpH7ry3gzfUnMerVLJkST0a83SsEPNBPyy0XZ/PuhhIEAZxOifQYM3deNpZXPz1BZ68NUYDxmaFcvzjjO5kh8nXhkNzE2dmruj19DjQqBT461bDKjklZYTicLkICDDz5ViFXzkvh0dsmUdnQw84j7lp4tcJd371zBHtRRnwAL3x8jD6rk59dN84reDQ9zp/L5yTz25f3UdfiVkT89NoCLpmRyLPvuy2XF05L4C9vHRqSedVtsfP6upMsnhzHqnUnOXiyhYz4gCEEEEBZXSeZCf7oVSIFaSHMyI3E7pTYdbSBvUWNnsmMgABn7CJBkgny1bF4ciyXzEzE4ZBQq9zWr/V7qr3sUMfK2/A3aXn0tknDkj+D0CoFHr1tMs++d4TiARVAZLAP3780G1+t0ouEFEUBq0vmj6sOeBqaBMFdkX39BZmoRMiO8yctxozdJfHiJ0U8+I9dXoqS5nZ3K9TDt0xk97EGNh+oZVxGKCqFyPGKNj7c4rbbvbuxhOsvSOeLPVUeRUddSy8Oh4t7r8nn9XUn2XSglvtW5rvrtM8iBEL89QT4at2V0ILAIy/vIyXazMpFGby78RTbDp2+Nh8rayPEX88vbhiPeI7JpF6jxOZwsXRqPGEBBnYdq8dml0iM9Bsgwfs4eLKZZbMTUX1FO9r5AKvDxQsfH2dCZih7jjV6mivPhMXqQKkQRmxhnJgZRoi/gTuWj+HAySbe+vIUff1OTAY1j946icMlLUweE8EP/7QZrVrB/AmxQxSpgxibFITZpGHp1HjW7aqkrqWXhjYLTpfEul1VjE0OQpYZoooBtxosPc6f+1bmI0kyln4H73xZwu3LxoDiX0vTd0nysK1YALddms3zHx3zOr8Pl7SQFOXHHcvH8IdVBxAQiAjyod/uOmeodXNHH01tFnJTgslODOStL05R3dTDb17YzYSsMGYXRJMR709xVQdvfXkKh9PFpKxwVi5KZ/vhep588yARwUby00JQKkQun5NMfIQvDa0WjAY1apXI+xtLuXtFLlWNPfzoyhw6um28v7mUGy/I5ERVO/4mLQkRvkOa1wTBbYf/eFsZj942mT+8dsArh+tgcTPZSYHcfFEWz7x7mGsWpfHBllL0GhU5KcEcKmnm+Y+Oo1Ur+NEVOfz02gKcTonrFqexfk/1sPduQRD4aHsZ7286Tb4dKWnlritzCA/0oam9j84eGyEBek7V9hMXZiLIpPnvbs0cxddGfZuFcRmh3/ZmfCNIizGz/WgDn+2u4pYLM7/tzRnFKEbx/8AoAXSeQaEQOVzezuufn/T6e0uHld+/tp97r87jNy/sQaUUGZsUhF6nItBPi1atAGS0mqE/6fMfHePHK/KIDjGyZkcF3RY7EUE+LJudSGV9N8cGAoj3HG8kMtiHueOjuWZROn//4IiXHeSahanUtVrYeIZCZUtHHbuONnDfygIa2w6jVbtX1o6WtnLXlbmcrGpHpVCwYkEqNoeTmFATpbWdw373mFAj8RF+NLRauH5JBjuP1LO1sA6bw0VKjJlls5JYt6uK5bOT+Mtbh4bYtlySu+3jwZsncufjm70e6+lz8MhLe3jirhmYdEpuuyQbk0GNUikyPjMUm92Fv0nlVtx8WkRmXCBvb/AmeJo7rPx+lbsRq3QYEq7wVDNLp8az7VD9kJXrsEAD4YEGqhq6ueGCDPr6nWjVCq+JoigIwwbbgnuSIckyVpuLIF8dosCwz02I9EWlVPDU24c8RMKWwjruW5mPWnX681o7+/nj6wf4xQ3j0akVIMuIskxeciAZcZOxOVwoFSJalQIk6b+W/AGw2t2ZHBMyw1i/p8rrsbe+PMWPrszhz28UYjmDBEqM9GNWfhS/e3W/ZwJ44GQziZF+BPrpSI0xo1WCJElcNT+FwlMtQ3K4MuMDMBnU9NtdfLG3mlPVHayYn0qwvw6FKLLvRBOPrz7omeg2tFr4+XM7eez2KUzODvcQDcPle4G7BvyyOe4Vca1agXMEdVpUiJF3vjzFosnx7DzawKFTzWjUSqbnRvLz68fxp9UH6bU6mFUQ5VHRDUKQJNKjzVgdEg6nC7VKQb/dNWwWTnt3P29+eYprF6QgjyCFl1wyfjol967IxeaQkGQZrVqBWmSIfN4hwcMv7vVSRcoybD5Yh0Gn5vJZibicLkRAIQgUV7UPOWfUKpHX150k9KpcCotbqGzo9ppQDuJYeRtdvQ6M+tO5Ri5JZv/JZuwOFzPzIgkNMKBUCDx0yyRWrTvBsbI2lAqRyWPCmZUfxeFTzdxwQQZ/Wn2Anj4Hff1OJmWHe5E/g2hq7+Pz3ZXMKYhi/Z6hqiy1UsThkvjtQJ21KMCls5LIyg7g3qe38bPrxrHneCNatQIfrQrNMO1F5xOUSgW7Bshxg05FZ4+NXquDQD/tEBXU21+e4odX5PDngeNyEAkRvsybEMNdT2zBZndxx7Js7r06n367E1EQ+GJvNTPzIjlR1e4hU9q7+ocEuYN7/145P5W9RY0IgrsiXEamtLbLo5LcWljH/dfmU9/a65WPo9MoeeC6Al5fd5KdRxsIDdCzZEo8CybGotco/uXfQakQ8Ddph9xbIoN9sFgdw5K7JTWdNHdYiY/wZf6EaDJizIxPD2HTwdohuUWDiAk1cbyijSVT4rDZXVQP2OecLpnth+rJTw3h7x8c87qPv7+5lE0HavjRlblsOVDLwokxxIX7Ehnsw4Z91V7jGYNOxU+vLaCl3cqa7W67Y4i/ngumxNPWZUUhirzw8XHuWZHHvhNNbD5QQ7/dRVKUH9ctTgcBLpwWz+5jDcOeq0dKWpmZG8V91+TTbbEj4G4jmzMuGo1aRCEKXL0gjW6LnV//YzdN7X1EhRi5aHoC9a0W3j9LpVyQHsKvzyqlyEkOIjzQh0df3utlG06JMXP5nGSMejWa859zHcW/Gd0WOz19DoLN+m97U74RiKJAQWowGw7WctG0PkL+S77XKEbxv4hRAug8g80lDSF/BmG1OWnpsHLXFTkYDWr2FjXS2WMnxKwf8LpDeqz/EHLAJcn8/rX9XDozkZ9cnY+PXoXF6uC5D456ZSOolCJ3LB+DViny1vpTXuSPUiESE2bitc+GbpvdKfHOxlPcdmk2CtG9wl14qmXIAHP5rCRuXJrhpXwZhEGnIjnaj9YuK1q1kqdXHyA3NYQfXD4WhShQ3djDs++5G68ump4wYtZGx0AY83CQ5NM2ln1FjewfqF2PCPLhuiXplBR38NpnJ7nl4iyvgOWzf4OKhm6iQ0/LX9VKEedAO9Jf3zvMXVfmsP9EE9sO1aMQBWblRzEhM4zS2k5+dv04vtxbjUIUUKsUgPt7RAb7oBuGvDsTSoVIdmIgmw7UsGxW8hCCSqNWcOW8FJ5486DXpMlqc/LJtnJm50fx8RkTc5vdRWVDNzFBBk8gr8spDYRlD9hFhmlr+m+DwyWx51gjv7hxPAeLm7z2XWVDN4Unm3nwpom0dlppbLMQGmCgu8/OH18/4LX6bzKo+WhrOTuO1JMY6cf91+QhyuCjVvD4nVN5b3MpB040o9MqmZEbSXSokY37avjptQX8abXbVvSnNw5y5+VjeWVt0ZCmHHAPKI+Vt5EU5cvy2Ukjqs0GMUiazJ8Yy6tri4Y8bjZqMPtomJQdwb1PbfMQhFabk3W7Kikqb+Pmi7JYvf4ks/Ojhs2BklwSGtF9/KlUCjYdGD5HCmD7oTqunJOM6iuCnEVApxQAt/TMNYxjpqPXNqIldv2eKi6YEod64HN0KpFls5J4aY33Pjha1sb4jFB6LHZ8fUYOrTYZ1HR09xMVavRqMXp/cwm3XpyNwynxxvpiOnr6yU0J5taLs+my2FAq3MS8Ua+mudPKIy+dtuplJQSwr2j4STjA5oO1PHjzRDburxmi8LpmURqf7z5NVkoyvLOhhPBAH/yNWjbur2HymHAmZ4fj66NGIXPOxsdvG4IAPRb3tbCyoZtJWWGs21XJdUsy+PPqg17tVFWNPfRZHdx7TR7tXTZsDheBflpUSgW/f3UftoHsNn+TDpfk4i9vHcJqc6uAls1O8lKVvLy2iDsvH8uYxCA27q+h12pnbHIQs/KjkSWJV9aeQJZhUlYogb5a3jpD9el0Sfxx1QGuXpjGJTMSaevuJ8hPh9mo4W8fHKVkIKursa2P5z86xuVzkxmbGDAi+flV0ChEVsxP4al3vHPm8lKDR1QYAuw8Us+88dEkRfp5coUmZ4fz7saSYfMBl0yJ46/vHebgyRbuvHwsGpXCc50LDdBjc7iGXcTp6LFRWNzMb78/CaUAEgKbD9YOsZpZrA4eenEP916d57l+NbX38fzHx1g6NZ7JY8JZte4Ej7y8l/EZody+fAxKhYjZqOWT7eXsOFzPNQvThmQhnYlth+pIivKjo8fmaUDbc7yRYLOey+ckU9/ay6dnVLbXNPXw9DuHuWZhGrkpwRwsdm/zjNxIGtosnmNqEFfOS+GRl/fSeQb5A+6g7g37apiVH0lSuGlE0n0U/xuoGTi+w75Ctf1dQlZ8gCcL6HtL0r/tzRnFKEbxL2KUADrPIHNum1RZXSd5aSH85oU9nr/tPtaAv0nLI7dOQqOE25eP5am3D3m9LirYSEF6CI+vPshPrs6ntLaT6xans2F/Nc3tVlJjzQOZOUr67C62HvIeXEWHGs9ZN3yysgO1SsFra4uYOz5m2NXFdzaWkJUYyI+uyPGEHANcOjOR6bmRNLb2odeo2HWsgcljIvhib/UQ25pSIXjV7g4HxzkG2NmJgfz8bzu9Jvl1Lb08+vJe7l9ZgL9Ji9moOedvUNvUg9mo4ZqFqcSF+9JrdVuF7E4X728q9UxgokNM9NudHDjZxLbCOk9jCbjDSQeJKp1GyfUXZCAjD7viDRAf4YtGrSDApGVGXhSBfjpyUoL4aGsZrZ39ZMb7M2VsBP/48Niwrz9Y3MzccTFeBBBAWW0nM8aEn3N//rfDR+tuq3v6nUPcdskYTlV3UHiqZcAiEkOv1cH9z2xjyphwlkyJp6PHhkal4N6r8zl0qoVPtpcjSTITMsP48xtudUBdS6+nsUqSZDRqBbPzo0iOMmNzuNhxuJ431hcDUF7fxY1LM/nzGwfddcMGzbDkzyDqm3upaOjC5KMh0Ffn1ZBzJnx91NgdLiZkhhJg0nDBlHhWrz/psUUmRflx9cI0iivbOVXTOWyOSXVTD0qlyCO3uK1bX2fqeq76928qG0MUBZo7Rj5HHU4Jm92FWuMmMl2y24Z18YxEPt1Z4ZnQldd2cvPFWXy6s4IFE2JHnFQumRzPZzsrsbtcTBkTwY4j9Vw2J5lgsw6L1UlkiI4fr8hFFASUSgHJJWN3uGulnU6JvNQQtp+l9BEFAekcBKtLkmnv6ueXN05g59F6Smu6CA3QM298DNsP1w17jV2/p4rpuZHsP9HEJTMTiQrxcZM/57H6B9wW1IK0EI6UtnLh1ASCzDqCzQb8jVqevHs6H2wpo6qhhxB/PTPyItl9rIEN+2pIjTGzcFIc+4qa0GmU6LRKLP1OwgINRAb7oBLhiR9No6PXjlGv4sVPjjFvfOzpz3W52w+TovyYOz4aPx8Nfj4aKuq6qGrs8ZxXje19+Ju0NLR6E479dhfPf3QMjUrBosmxFKSGcMfjm4YQBgDvbSxhZm6kh5T8Z+FySYxJDOT6Jem8+cUpj/IvyKz32CWH3bcuidyUYBRnHAM6pcAjt07iz28WekgYPx8NKxa4VU9dvXa6eu28v6mEmfmRrNvlJhsz4gNGVA6Bm3hZNCEGBHDIeJGU7m3VoVEpaGzro7Gtj9AAPY1tp8/jT3dWMGVsOFcvSOO1z06w62iDp50vItDAA9ePIzM+AK1a6UUKDtlXkky3xc64jBB+/6o7oLvf7nKHvccH8Mu/7xr2de9tKuGeFXlIssziyXH4m7S8chZxrh84xs4mfwax61gDiybHjhgUPYr/HdQ096JWivj7arH0Dr8w+V2DSikyPj2EjQdrmVcQNZoFNIpRfEcxSgCdZxBgyKDoTCRG+rF6GIVQe3c/r35WxE1LMylIDeKPd05l4/4aJFlmdn40FquDY2Vt3HhBJoLgrixWCDJjrsylu6cfpVKgzybx9sYScpKDh0zi3DXEIw9oBAH6bU4mj41gzQiZCuAOqL1kZgK/v2MKff1OdFolWw7Wcteft+CSZH5543h2HW3gZ9eNo7yuy2u1ViEKfH/ZGFyS2xYy3Oqlj06FSjm89jos0EBbl3VYgkSW4cMtZdy+bAwBvt6NJmcjPMgHl0ump8/Bwy/t9UxqfX3U3H1VHo2tvTz/8XHmjY/hHx8dG/L6OQVRuAYIg+gwEynRZlatO8ENS9L5/qVjeHz1QS+7kdmo4c7LxuKjV6EWQKfQAjKhvhpuvTATpySj1yr5ZEfFiBMBhSgMOwlMijKfcxL6vwCNUuD6Jek8/c5hHnpxD+lx/mTEB+B0SqiUIlq1gvR4f6blRPK7V/d7SLzB8+jOy8ZS19JLUUWb55iMCPJxE5WyuzmmtKGbV9aeGNJGBHgmYD+5Og9Jdk8w/Hw0XiHhZyI23MTOo/WYDGr2FTUxKz9q2KaxqxekERZkYGJWGD9/bie/vHE8P7w8B0l2V4pXNXTz5zcOcsMFGSM2DALsK2okO84fu314q9mZcDpdjM8IHTHsPT8txJ1H8/885iRJPqesXqUU0ZwReuySZN7eUEKov567r8xFkmVUSpFTVZ088OxOVsxPwd9Xy+VzknnrS29l3aTscGLCjDz1ziGiQ4zkJAdx15W5vPDxMa+csgunxbNgQiylNV1099kJDzAwOTuc8EADpwbUIGeiqLKd65dksGUE0mliZhgKhYDZpCHErCcjLoDoUCOvfnqSAyeHn4S3dlkxGdREhxrJSQ5Gdjq/EyoEWZYJDzJwzcI0nnr7kOfYFwWYPyGGS2cmse1QHU3tffxp9UGsNie+PmqumJdCY5uFOQXRHC5tYdmsZGJCjQT6alECsiSjEiDYqKbH7mJfUTPJ0f4UpIWw7wwio6Smk9LaTu5fWYBKJdLQZmHTgdPnVKi/HmT3tX841Z3N4cKoV9PvcA5L/oDbQtXRYyPENHKI9VdBlGWmjwlnQmYY/XYXogCnqjsYlx7qadk7GzPzotAovCvMJUkmwEfNr24cT5/NSUePje5eO2t3VnjZ2bYfrue3359CaU0npbVdA+OAkb1NSoXovjDibsobJKnyUoNZPDmOxvY+rP1OYsLck0Y/o9ZrrON0ybR0WIkNM/Hk3dPZsK+G1i4r6bEBBPvrae2ysmZ7BUunxTM5O4x3Nw5/nRmfEYoowsGTzZ6Cisz4AFQqkfbu/hGJ6L5+JyqlgqgQH5QKgW6LnYJ0NzE5CINORVuXddjXD+5bN7l7fpOuo/j3o6a5hyCzDlH47yIDxyYGcqi0ldfWF/PTFXmjZOcoRvEdxCgBdJ5BoxBZMS+Vx98Y2sak0yhJijLT3F7EBVPjyU4MxDWw0rx+TxV7jjVy7aJ0BAk0KpHpuZEoRIHfvbafljOqUQP9tDx400RMWiUatRKl6CZ/fvL0dqw2J3PHxwwJ2axu7ObaxSPLPXOSgymqaCM80IeeYcI5B9HTZ8egVSFKEjofNUXVHV5hytsO1bF0ajy/e20fj90+herGHsrqOjHq1cSGmVi7owJZhqvmp/LiJ8eHvP+tl2Tjbxx+gB0TZho2J2EQxdUdqFUiT75VyAVT43l+GPJGr1WSHO1HaU3XEJtYV6+dR17cw/3XFlBS00lcuIl7rs7jw81llNd1EuCr44Jp8eg1Sj7eVsaSyfE0dfR5wqxP1XRR2dDFDy/Poa3LSlNHH3FhJsxGLZv213DVglRs1tP7VpZBdkmIQL/Vwbj0UN5Yf4rhMCErjP1nSfG1agW5KUHfiQnivxOSSyYnMZBf3DCO1z47ycnKdtq7+7l8TjKxYSaQZVJizNz7l21eVcGy7D5eQwMM+PlovMi+FfNT3DYIGewuGadTHpb8GUR1YzfNHX1sO1RPZnwAiyfHDWsFNRnUpMaYsdqcNLRaOFHZxtxxMUQGG/lsZwWtnVZiw325al4KIf56fr9qPzVN7gnrx9vKSY3xZ9U67/e12V3otSrsIxBORoP6aytIZBn8jRomZYcNaVXTaZRcvTCNb8qMZPbREBk8/IR8/oQYDBoFjoHJuFIUSI0x8+nOymHtMkFmPb/4205+em0Bk7Ld54rD4SI3NYS+fgf3D9hWk6L9mJgVxoPP7/H63KyEQJKizPzoz1u8bIGZ8QGsXJRGQoTvEGtuZ4+NfruTzPgArwp3cP/Oy2cns35PJe9vPn2dGZscREyokQPDu4RJiPCjrqWXi2ck4GfU0NHx1aTd+QKHU+L3q/Z7ESiSDJ/tqiI61MTMvEhKajrx89EQEqB3N/TJsK+oiefeP+p5jUopcv/KAuJDfTyHmigKnt/rzfXF/PDyHBIifVm/p5rOnn6Sos1ctzidzl4bv/r7bq8FkLBAA2ajFrVCYMX8VH43TOW7Vq0gPy1kSD7P2VCr/v/BMJJLQqcUCQ0wsfrzk7z15Sl+em3BsOdCaICeCRmhuIa5xksD9fImjQKnU8WDz+8eoiTUaZQYDSruviqP8vou6lt6iQv39ahyzsbc8dFoFO4sO6dDIsisIyHCj7zUYB59ea+XlXFCZhhLp8RxstL7nhzgqyPIpEGQZa6YnUi7xcEfV+2nsqGHBRNimDMumuc/OsoD141ny8E6DyE/iLhwE1mJAXy4pcxDjE/ODsPPqOFQSQsxIaZz7t9+u5vE21pYx7iMUPxNWmLDTJ68oc4eG2bj8M2qMEDgGzX/8/fVUUB1Uy/B/wUNYGdDIQrMzY/krQ2lrNtb7Vb9jWIUo/hOYZQAOs/gckmkxZq5ZmEqb35xymPLCPHXc981+dS39HDfynzWbK9gzfZyZNk9Wbh0ZiJpcf5IkowsCOjUStq7bby0psiL/AF3APDvXt3PL28cD4AgCqzbVUW3xc61i9PZfqiOZbMSefGT09JnSYY9xxpYNitpiFrAZFCzdFo8f1h1gCljwkmP8x8xk2B8RihKZJySjEtgCGGx6UAtl81O5taLsymt6WTLwVr67e6K5+ozJtCRwT48fOsk3ttYQn2rhcgQH5bPSibYT4sowE+uyeOZdw57WlNMBjWXzkig8FTLiPvez0dDQ6uFivpubHYXl8xM5JNt5V6/wW2XZNNjsbN2BJWT3SlR1dhNQXoIdS3uJpUVC1Kx2pyEBxrQqhV8urOSovJ2jpa2MW98DA/ePJFeqwO9WsmkrDCeeucQLR1W/IwathW6swy+tzQTvVblRQCdDaNOxYXT4vloq7fNy9+k5dIZiV6y9yA/HT+5Jg+tYnSlEkCQZRLDjPz82gLcv7aMVinidEqIokBJfbcX+XMm1u4o57ZLswF3Ds51i9KJCvbx7FcZGYfrdB3zcDDq1Z6sjGPlbUzKDmfx5Dg+313pmTRFBPlw3zX56FUif/jBVDYdqOXaxems/rwYp0viohmJ7tpqSSY80MB9z+ygp899vPgZNSydmkB4oIFui421Oyo9FoqSmg4WTIrhzRHIw5m5kZ6MqK8DUZa5YXE6EzLD+GhrGb19DrITA5maE8ETbxYybWwEU7LDztkG9nWgFODn14/jj68f9GSSiALMyI1i+exk5DOCgySXxOJJcXyxt3qI1U2pEAk262jpsPK7V/dx/7XjqGvqRRDgoRd2e353pULkwmkJtHVZh0y0L56R4NWyN4hj5W3sOFLP/AkxXDU/dQj5tvrzkzxy22SOlLayfncVNruLvNRglkyJo9/u8CJ/wN3sdNH0BD7fXTVEASmKAvMnxOB0SpgNI+cZnY9QKESOnGweUT3z7sYSFKJAfauFiVlhdPfaUSpFTlS1D8mYcTglHn15L0/fM9MTxCvLspswwq0G+9MbB0mP8+eKuckYdCpqBmy9Gw/UeCkiEyJ8uWdF3kAIuURypC/XLU5j9efFHmVJkFnHPSvyWLu9nPgIP8ICDDS0WYZ8B3+TFqNO9U3sLsB9rxlUfD7z7mF+cNlYSmo62XmkfiC3KIw546JRfUWDoyyD2aDm3hV5PPPeEY/61GzU8NCtk3js5X0smRrPmm3laNRKgs36IQoqgOgQI9PHRuBySdhlePbdw1w8I5HwAAO/OaOxcxC7jzUQG2YkPc7fszBjNmoIGCB/wJ1h1tzWxz0r8unus2Ppc2A0qHny7pk0t1v4xY3j2Xm0nq0H61AqRGbkRTIxK4zPd1VyvLyNxEg/ZuZF4qNT0dzeR0+vHUega8QWuegQI5Ikk50UxMufFJGdGMTzHx/jt9+fzJGSFtbvqcYlyWjUIikxZi+11CAumZmIQaPAOcKxPIr/DTicLhra+8iM9/+2N+XfguhgI+PSgnl/azmJEb4kR/l925s0ilGM4p+AIJ/v4QDfMbhcEu3tQwd//ywEhYDNKdNjcQ90DVolGoWAxSHz6Mt7h131vvWSLCZkhCINTNZ6bC5++OctI37Gk3dPJz7Cj8bWXn723E46emz85Jp8jHo1nT39VDX28PHWMiz9Tk8l+A0XZNDRbWPN9go6e21kxgcwMSuMP6w6QHVTD1q1gvuvLeCRl/YOmQz5m7T89vuTUQ0syzoR+MHjm4et0fU3abnhgnTCg3x48PndXpkoSoXIj67IYeOBGmLDTGQnBOKSZZ566xCP3T4ZvUrEZNLR3NFHl8WOze7CYnWw93gDi6fE8+Mntw47IL5yXgqHS1o8g9EpY8OZnhOJyyVjMqgI8dcDMk4X3PLYhhH365xx0eSnBVNc1cnWwlrauvrx9VHzhzumohZBFqDfIdPTZ0ejUqDXKlGLp/NAJEHAanfR1+/EoFOhU4koRQGz2UBHh+WcK4uSINDcaWXtjkp6+uyMzwwlPzUErVLE6nCdcTyp3LaAc+S1/CegVIpDvldQ0P/PU/5NnYODUCpFNhbW8/IwIcqD+MuPZ2CzuzDqVUNINVkUWL+3Bku/gzXbhxKHSoXAz64fz4NnNc3MzIti8pgwfHRqtGoFBq0SlXA6R0ehELFLEiBiczg9x4tBo8TXpKGl3UqXxY5CFPDRKVEr3Nk0iAPXljOOP0GA3792YIhVacWCVGbmRPzTZI1CKbLzuDtLRKNWUlbbye5jDR4y64m7pmPSKL7iXb4agiDgAvpsLvrtTnx0KvQaBQHDnCuCKNDcbePpdw571FiRwT7csXwM/kYt9zy1jW6LnXuuzsWoU/PCx8c9pHNksA9XL0hj66FaZuVFsW53lScLJTLYhznjonl5zfDHh06j5P6VBYgiWG0udhyuo73bRlK0H2OTg1CrFLy6toixyUGolG5VnkmvZsP+miGEEbizm66Ym8KqdSeoqHerEsICDNx6aTbhgXpUgjtf6OtcL86F/+R5qFIpeGtj6Tntw/etzOd3r+5HFODpn8wCGe59apuXXfZM3HxRJlMyQz3f3wnc89T2YSf++WnB3HZxFgIC/Q4XvVYHWrUSvUaBAu8MJVEUsbkkuiwOVEoBg07FkdIWthysJz7CxNSxEfzy77s8WVvgJoYfunkiwSbNN0K4K5Xue9zzHx3z2mcZ8QHkpQbjo1fTa7ExfWyEh0z5KoiigE2SPYSn2ajhgy1lrNleQUKkLwsmxPLMu4dRKgRuWJqJTq1k55F67E6JmXmRpMf6oxJkBEHgaGUHj68+yO3Lsmnr6vdS+Z4Jf5OWK+el8My7h9GoFfz4qjx8fVSE+GqRXDJqtYKOPicfbSkbIOfc3yUx0o9rF6fx4sfHueOysdS29ODno2H158VcOC2eY2VtBJn12OxOth+u94yXfnb9OAL8tPRZnfzm+d0eEg/c9vEHb57IvqJG3tlQwo0XZrK/qJHJYyIYkxCAShSwuyRkQK9R4JAEXvj4GDuPNiAN2LAvnZXEjLERCN+Qrfr/ew7CN3s/HO5+PYrhUVbXxSOvHeC6hakkxwbQ02Md0mT5XYdLknl7U6lbOXmdO0Pzm8D5dpx9E+fhKEZxvmFUAXSeQnbJqAUIOKOZRsad9TMtJ4KYULeMubi6gy/2VNHT5+C9jaXkJQczOK0ajlg5Eza7i26LDYdL4tZLs6mo60ajUrBpfzWf76kmLzWY25aNQSEKKBUi1Q3dSJJMmFlHXmoQxTVdHCppITTAwPcuyuRYaRtt3f30WR08cttkXl5znKKKdkRRYFJWOFcvSEEjgksW6HdKdPb0ExViHLZRpL27n/ZuG41tfdy+bCzN7X1UNHQRE2oiNdYfp1Ni7rhoJEnmk+3lnlXg8rousuL8UShEXC6Z3zy/20u50W+XuH3ZWJ5977BXiOS4jBAig308wbwA2w/Ve4Jbp2SHc+tFGdjtEiLCiNYTgKhgH1avK/ZSLN10YRZ6jYiAm3TRiDKawd9Wlr0GBoIso1eK6Acfl9yT9q8DUZYJ89Ny89J0TxaByyXhcrrOOp7k/7rByL8LLpfsyawYDr4+ajQqEZ8Be8fZEzxRholZYTR39FFZ3+1l9xm0q3y8bWjr3KYDNWw6UMPDt07CpFGDLHu3+7mkgXNd8hwvKpUCpVJEqVCgVQooDacVB9Lg7y3J7tauM44/Abh3RR4N7X3sOtqAj07F5DHhGLXKrz2BPBM2p8SbX5waMcx6a2EtF0+N/6eURcNBlt2NYT5qER+1+/uMZLKRJZkQk4Zf3jDOEwir0yhRiwACl8xI4OW1J/jT6we5b2UBP7km39My1tbVz6ufFlHfavE0xh061YzTJWPQqejoHt4+B+5GtT6bg80Halk8KY78tBAcTolAPy1KhciTbxbS0OpuGlo2O4mePjudPTby00OICPJh9/FGdhyu85BnJTWd/OPDo/zmlonY7C4kWUavdhN8LpeEBIjK71YmgyRJJEf7wdCCSMBtw2rvcturLp6RiEYh4HDJI5I/AM0dVoQzsjdUosCvbhzPL/++y6MMBTeBd9OFWe6Qc1lGqxDQnnFunH30S5K7KTHQx31uKUSYlBnGuNQQ9/NlmT/9cBrHytooqekgLsKXsUlB37jaUqEQmT8hhk93VniuC8nRZuIjfCmr7USlVGCxuTBoFQPf7dzvJ0kyKsBf7/5eDqfMF3urASir7aKivos7Lx/LuxtK+PsHRwkPMrBifippsf4oZBmXS0KWQaEQaOm0olSIWPqdZCYEcn+YL129Nj7bVelV3d7R0094kIGrF6QSH+HLW1+coqm9j9/dMRkV7jHPlgM1fLmv2mtbS2s7+eu7R1g+J4niqg4C/bR09dhp7+rHYnV6NXydiVc/PcGV81Jo6bTy0K2TKKvtoqqhi7gIX4LNep58qxCHU+In1+QTFexDXnIQWqXovoe6ZM/YSnLJBJr13LQ0g6vmpWB3SmjVCnQqcVi73Sj+91De0I1SIRDs982QIucjFKLA0smxvLb+FH957wg/vToPjer/v7AzilGM4t+PUQLoOwRZEBEFgQMnmln9uZuoGJMUxI9X5PHiwGq1wyWhGAhrNurViOLwg05RAJ1Wxa//sZuSmk4EAcYmBTEhM5QN+92++QMnm4fI69PiAvAJNtDeY+PTgZXHYLMeQYD6VgsmvZrX1p3EanMyf3wMS6cm4GdUE+KvR3a4cMqw+3gjz398nGCzjqsXpvGn1cPnHcWEGjlY3IIkyUSFGNFqFIQHGvjJU9tG3Ee9fQ4EAWx2J1/srWLFgjTMA5lA3QPWLbvTxZN3z6CirovefgexYSasNucQ69SZyEkJ9hAmaoXAyoVpPPrKviHP89GpyEkOZtOBWvRaJbGhJq5emEqAr46NB+s4Vd1JcrQfBWmh6FTC6Un5NwhZxjMIdZ3X5c/fDciyTESgD0F+uiF5EwCXz0l2TxJGGPjLsoyvTolSNLBkSjwXTk+gsr6bQD8tqbH+iILA0dK2YV8rCHiO33NCELA6JNYfqKKupZec5GAy4gPQKoSvRfTJMiiQiQrQEz83CVnGTc78ywJR4ZyT885eu9fk/D+FwdwTg8rjDRqomJeZOiaC+lYLGrUSvUbJK2uLhthcwL3qufNIAwXpoew62kBDq4VFk+JG/MywQAMdPTb2HG9kb1EjKTFmjDo1DW0WLp+TzAPXFtDa1U9lQzeVDd0E+el5Z4N7IqxSikzLieCn147jj68f8FgIk6PNqAQBpSdT5rtN6Lpc7pytkaw5F09PoLC4mZ9cnUdKlB+CJKMUBWJCjVQ1Dp+tlRkf4KVwlCWZAKOaP/1wGjXNvTS19xEXbiLIT+cOjP4nd58oCtglOF7Rwd6iRoL8dMzIjcSgUaIWoCAliAnpwUiSjNMp/VustiadW1325zcLuWxOMo2tFn79D28l4ZIpcSyZEod2hLHASJCRvSx5n+6sJDrE6G7H8tXi56MhKsiA3ebkTBrXbWP354HrCth2qI5Vn53E6ZIIDdCzfHYyZbWdHoImOcqMr0FDWpw/2w/VU1bXhdMl0Wt1YNapsNhcI6rCGtosbgWjRonNIYEAaXH+lJ9RHHE2app6CA808IdV+5Flt0rs2kVpSC4Ji83FT1fmoxRFD5k6+H1GgjBIGCoG2gZHyZ9RDKCioZtgsx7FOULT/xtg0Kq4eGocq78s4aVPT3DL0oxv5d4+ilGM4p/DKAH0HYKl38mv/7HLS7Z8uKSFstpO7lmRx2Ov7vOQPwBapcj88TF8tqtyyHvNGRfD57sqKRmwfMgyFJ5qoa6l1yuo8Ww0tfcRE6xnXHooG/bVcMnMRIx6NTq1EodL4mRVO2lx/mg1btvHZ7sqeeS2yTgH1ArdfQ6e/9gd3tzcYaWkupMbl2bw5henPBPGiCAfbrggg1c/O0FZbRcfbT2tjrjt0uxzNnQlx5iRJJleq4OUGH9eXlPkyWMIMutYuSiNrYV1fLK9nJXzU3A6JVySjFN2W8COlLYMmQj4GTVkJvh7DQgTwk3cenEWr3x6wjMpiw4x8uOrcjEblPzsugL3iqpCpKPXxp1nWN22H67n9XXF/ObmiYT4fjOWgFH8e6EW4Tc3T+RPbxz0nDMalYJLZiYyLi3kKwf+siRjUIskR5pwumQSwk2oFAIOuwtBIXDB1Hg+2Dy00WZ6TiQ6leKcrVmCIHCqvpvfvbrPowTYdsjdEvbobZMwqBT/RIizjP0byK5Qim5y+mwCeRATM0NxOs+vjAxBkrhqXirHytsoresaUeEH7onktLHh7DneyIzcSOLCTSOqApfNSuLjgWuYLOPV1tRjdfCH1w+wYn4q2w/VMX9CDE+/c8jzuMMpsWFfDdWNPaxclMbfPjhKoJ+Wq+anIA9zTAiCgCwI2Fxui993aSCuVYg8fMskHl99wEPquIPDUxmbHEROUpDXxFwpwA0XZPCrswgPcOe1Dea5nAnJ5W4FSwwzkhRuQpIk5GFUPl8H/S6ZX/x9l1fG3vub3U2SeUmBA6qRf+GN/wkIQFKEib/cPZ2qpp4hleUAa7ZXkBLjT0qU3z814FMpBFKjzZw8o1myuqnHE3b/8K2TPCHrggAuBPpsTnqtDvxNWp7/6JhXi2djWx9PvX2IH1w21kPcXTwjgV/9YxcdPTYmZYfxk2vy+cOq/Z7fzeZwDdv2OYjmDispMWaOl7fx5d5qHrhuHAdHaMgDdxagpd/BmKQgDp1q4YPNZeSnBqMEVAKnG8y+w2TqKM4PlNd3Exnk821vxn8EIWY9iybE8NH2CiICDVwweeQFkVGMYhTnB0YJoO8IBIXIhxtPeZE/g+i1Ojha1sq1i9PQKESkgQGyIMC4jFA0agWf767CanOi0yhZODGWSVlh1Lb0ct/KfBrb+li3q5Km9j4EQUAhCl72qDMRZNYhSWBQK7hj+Rj+sOoAbQPSfIUosGRKHCH+elZ9dpLMhAAevnUS2wprmFMQjUql4POzQk3X76niinnJPHLbJEQEVCoRhSjw0At7qBlmMrXlYC03X5TFQy/uGfLYuPQQfLTuQ9pidfKHVQe82lxaOqy89cUpfnRFLodPNSMPyNbBfSIEmzQ8eNNE/vbBUepaegdUUcHcdGEGmrNWTwVZZmJ6CDnJQfRaHaiUInqNEqUADoeb7FII4JRkHn1l3xA7ns3h4ver9vPb2yaNnoTfAUiSe6X3vqvzsNpd2B0uDDoVWuXp8+2rIMvu/1EKgEti8JCQXRKLJ8Zi0Cr5YHMpln4nWrWCRZPiWDQp9isr022SzOOvHxgSstptsfPMu4f58ZW5I9qi/l0QZJlrFqZxuKTV6xwEN1EaG2ZyV0orRXeOj+vfo5D4Z+FwunhlbRHjMkIJCxw+zBcgPMiAXqviybtn8P6mEn7+3E7uviqXdbuq2FvUiCTJJET4csslWWjVSpbNTmL30UZ2H2vwXFu1agVBfjqqG3votTpYMiXOy4J6JkpqOrlyXgo/ujyH9Dh/1OJQq6EsCLR023hjfTGVjd2E+Ou5cm4KkUGG/3fg9n8CLpeESavgF9ePo8/mxO6UMOpUaM44x86cmEuSTGSggQeuK+CFj4/T1N6HOHDPu35xxjnDj9377l/fJ4JC5LVPinA4JLITA7HanJTWdiLL8Nf3DvPMPTPRKv4z5JssyShEgY+3jKxg3XygBq1KJDnC92vnvimAGy/M4L5ndgw51pKj/Agx65BlGUEAuyzw+OvuDDGDVsn3l43xIn/OxLsbSrh8bjKCILDrWKNn/LD9UD3WfifLZiVh0rsteBqVAo1KMaKdPSHClw+3lDJvXAy3LxvD+j1VzC6IYkJVB5Oyw1GrRJwuGY1KgVOSUCpENu6rZlpOBIdOtQzUV7tJn38FguDOr5JlzjtCexTfHrotdpo7rIxLDf62N+U/hpQoPyZnhfLBtgpCAwwU/A9991GM4ruI0bnndwQOl4TLJfHjFbmoFAoEAfYcb2RrYS1Ol8zJqg7unpTjNRl1yTJvf1mMyaDh9uVjUIoikiwRFWJk04Fa1u+uotfqIC7cxDWL0igsbmb/iSamjg1n88G6IdsQFWIk0E+Hw+HCLsODz+/xajVySTIfbS3n2sXpBPnp2FpYx55jjTx86yS0ShFZlr1qckP89Xx/2Ri+2FPF6+tOIkkyBekhXLMwncvnJPPHYaxhCyfGEhfmw8O3TOKltccpq+3CZFBz1fwU8lJD6Lc7sTtF6lt7MRnUns+LCTVy9cI0mtr62HSghqQoPyw2l7uydnBwK8vEBBn41Y3jsDslREFAoxQRkYednLpc7iwI80BmwtkZLeAm5wYHuGejraufXqsTP93oafhdwGDejEEleixEX5f8+SqIssTc/EimjgnH7pRQKcWvRS4JgkBtU8+wxDDAicoObA4XOuXXp4AEQUASoN/hJmW0asVAC9I/YR+RwVen5A8/mMIra09wuLQFjUrBvPHRXDAlHqUAVqdM4YlGWjutZCcGEhnsM2DF+fbICpvDRUunla2FtdyxfCwHi4cqmEQBpoyJYMO+akpqO9l0oBaA376yj7uuyGH57CTsTifIAi+vKaKooh2NWsGM3Ej+fNd0j3rR10fNq2tPAO4JQ1SIkeaOoRbDQdS3WpgxJhy73TmEE1QoRI5XdfD7VQc8f+vssfHr53dz/ZIMpmWHIp8HBNtXQZIGM50UoB5IuPoKC05KhC8P3TzB3d4nu9uxJNndhvnvcsDaXRL5acGMywiluKodH72aq+an8uXeanYcqedYeRvjU4P/YyH7Lkmm0zJyDlVXr53Wrn4Sws9dgX4mJEkmwKjhd7dP4eW1xzle3o5e615AWjAhBiVu5ZQLgd+/tt9D+IQF+njCyYdDQ5uFiGAfnnr7ENVn2fcOnGxmxYJU90KWJKFViiycGMOHw9izg806QgP0VNX3EOCn42fP7sAlyUzMCiM82IfnPjhCX7+TpCg/ls1KYvuherr7bFw8PRGVUiQswMDty7OxOyUcAmhVIqL89a8/nT391Lf3s7eoEa1awfiMMPQaxXeCbB3FvxeDZQpRwf8bCqBBTMoIpb27n+fXFBHkpyU29Otfb0YxilH8ZzE68/yOQBRFwgJ9+Nv7R+m1OlAqRKaOjeAn1xTwx1X7MRs1KAW8vPgqUSA3JZjXPy9mz/FGokONXL8kg5fWFHHwDGtGRX03f1x1gB9ensMn28u46cIsbA6JXWdUuSdE+HLXlbloFQICAkUlrSNWWq/ZXs4Vc1MornZPPld/XswPlmWjFHHXxxa5Jdq3XJzFE28cpKPn9MB1z/EmjpS28acfTuOhWyby1henqG+1EBNq5Iq5KQSaNOCSiQzQcf81+e5MD4VAW7eNh1/c47EOJEebuWP5GF5fdxJLv4NrF6fz+OqDXrkkBq2Sh2+dhFmv8hA8LpeEEncLATBsCOg/g7PVD//s46P434HL6SYUVf8EuSQInNMiAbgtnV/zSi+KAj02F8++f8TThhcZ7MNtl2QT5q9jCMN5DsiSjJ9OxZ3Ls3FI8v+1d9/xUdTpA8c/M7Mt2WTTQ3oFQofQOygggooVFXuvWM+znXfnneeJnv705LyznGc9ezsLggUbLRTpHQKhBQKkl82Wmd8fmyxZsqEGUnjerxd3ZmbLd2b3OzvzzPf7PCgoWE2+vFcbd5Yz7a0DUz0+/WkzyXFh/PH6QS36o2RSVUyaQkW1m6Xri7hhUg/+O2ud/1gXFmLmxvN68G1eAcP7JPP8+0v9z+2VHcu2PRX865MV3HlxLn99faF/tE+ty8usBQWs3VrMBaM7Mv2DZQzpkcgFp3Vky64yUuLD0OtGKDR1TIgKt+LxeH2zVFTfyAaLScWrGzi9Bi9+ujLo8976ei2DunfA0nZmgx0Vr9cXrF+zpZg3vlpDSUVtXeGBRK6a0BWzcvgEyEdNUfjfz/kBCY0VBW48rycGBlVOXy66k8WiqfTpHNcooFKva2Y0VTXuQ47uDUo3iA2zcM8luXh132gfa12+s/pXqXR6Akb7VDndRDQoXtGorSaVfSU1Tba1ptaDXjeSV/fqnD08i/IqNz/8ut3/OaZ1COeBq/pj0xQev3Uob8xYQ7XTw83n9+Str9cGlGffuL2UaW8u4rdX9OeNr9bw19cX8cRtw7jh3O68/Okqf7GGLulR3HphL6LsFmrdOpqqNHnzx63DC+8uDQgQ/3fWei4fn8PpfVOOKXG+aD82bC8lMsxKeGjT/aA9UhSFMwem897sjTz/0Qr+cM0AIsOOIIehEOKkkwBQG6BqKj8u3ck7sw6UBPZ4dX5Ysp39ZTVcMi6HHlnRjS4YPR6dEX2SmTFvK9ec3Z3KGhcYRkDwp6H3v1vP+aM6Ulnt4vpJ3bn8zC6UV7oItZkIrStD7/XomM1awInvwfaXOQN++JZtLMLt1UGH3p1iiXbY6JwWyaYdpQHBn3o1tR6+mreFi0dnc88lffDqBiZNQWlwd64+maumQFWtl9/9a25A7qIN20r429tLeOCq/uwprublz1Y2Skpb5fQw7c3F/OWmIZyougUOu6XJIexWs0aE/dQ6QRDNx5dc0iAjsem7bHGRIYQcRbn1Wq/BQ/+cS2WDvrKjqJLfvzyfZ+4cQWSI6agupg3DAAN8Y+QMvB6DWh2ebBD8qbdzbyX/nbWOa+uSsrYEq1lhZG4ysxfvYOaCAnJz4rj70lzAd4GflhBOZbWHeSuXMjI3JSD4NmZAGn9/fylnDcvk0582Bb3Q3ra7At0wiAizMmfFLnbtr+KOi/sQHW7DUAxG9EnyjyhqyGJSyU6OwGvA/goXn/ywiV37qshIcnDGoHTMmho0eTL4fiv2lTpJimqf1WhMJpXl+cU8996BYJyuG8xZvottuyv4/XUD0ZpxKJCqqfzvh02NfgMNA/792Ur+cP1gIsIsGAZNFmFobl6vzoTBGXybt63RjZlQm4n+XTtgOYrpqg3Vj3ysL0R5cL6zg793hfuqSI4LazKYeXr/VBas3t3k+4XZzAF/q7rOFWfmcOHpHX3T/FSFaqeHqhq3b5SkAQvX7MFuMxERZg0I/hzYBvjw+w2cOSSDN75awwffbSApzh5QqXNdQQkP/3Muf75pKH//YCnhoRbOG5lFZqIjYFSPpqnMXb0n6OjA/85aT9+c+AOjgsUpaf32UlLi7C3djBZhNqmcPyKLt75Zz/SPV/DAZX2xSGUwIVqd9p2evp2o9eh8+P3GoOtWbNpH96wYYh22oBdmNk3hiduG8W1eATPnF7BpR9MVMnbvryYtIZyVm/ezYuM+wi0aKTEhxIZbsaqK/8RP13U6pkQ0+TodokMprTwQ2NFUxTfNHl9i6sdvGcrZwzNZvnFfk6+xZG0RTreOUp8zRTeCDs1WNZVPf9wcNHF1Ta2HX9cVkZHgYPf+4Emj9xRXU+lsulrR8bJqKpef2SXouivO7ILlKKbmCAGgKwrltV7mrNrN4g37UFWFWy7oGfSxN53XA9sRfsdMJpW8NXsCgj/+99QN3vt2PYZyfN9XTVNYv62kyVEIc5bvwtmClXQMr8GUcTlkJfuCakvX7+WJNxbxf+8swWYxYVUVouxm/nTjYDRNIdQWeA+lptZDdnIEq/ODV3UDWJ1fTFay7/iZv7OMyHArO/ZW8OmPmxk/KN2/rp7ZpHJv3Un08s37uf8fc1iwejfb9lTw89Kd/OGleZRXueiUGtnke5pOUj6aluD06Lw5Y23Qddv2VLC3pKZZR+PUen2JuYPRDdheVIHHa/DTikI2FVbgRqnLNXNihZgUpt0+jB7ZMf5lvTrFcv8V/SncV0l8RPBzhOMVGWS0z2c/bebOi/tgOqgCUqeUSC48vRNllU66ZUZzx8V9ePCqAdx9aS69OsWSkegI6FOqqmCzmdhTUsNd//cjj/0nj0dfWcBTby3m/n/MYc7KQhRVwayppHQIZ8O2xsGfelt2lZMQEwrAso17yU6ObPSYKqeHeSt9CfRX5+/n8dcX8d53G9AbfIFcXoMvfmk639I3eQWYLXLBe6oqr3KxvaiStFNs+ldDYSFmzhuexfaiKv4zY22LTusWQgQnI4DagOpaT5PTrQCKy510cFibvMe5a28Vq/L3Ex8V0uiCpSG1LmXC57/kc++UXKrdOnmrd7O9qJIemdF0y4zGZvLd0eySHk1YiDnoxeKkEVl8k1fg/3tknxQsmgqGwY591fz51TxG5iZjD2n6Lpk9xOw7aT7MD4fLo7N2a3GT6zftKGV47+RDvob7BF5wGrrO0B4JJMbY+e+sdezaW0lSXBiXj+9CZmI4hkwBE0dBVxTenLmOn5ceyNGlKnDLBb34842D+dcnK9lfVkPH1EiunNCVDpE2PEf4/TbwVRVsyrqCEtx1ea+OlaIolB8iV4lXr6vAYzqyNzGZVDw6aKpvukhznGeaMHjoKl9p9vUFJcRE2OiUGolVUzB0AwXIiLejKyrnjczmnbrEzfUVGGvdXkJt5kYjDuuFhZjZU3wgufTyjfvI31XGuAFpFOyp4MZze+D1GqzZsp/46FAcdgs/LNlOeqKDl4JM89LrEg/feF5PnnprcaP1dpuJKEf7HYbv9hjsLW06d9KG7aWkxCYdcT84HF2nyaTE4Cs2MH/lav8USofdwp9vGkJUqOmEVpfSdQOH1cTdl/TB6dZx1nqoqfUS67CRGmc/YdOSQq0mumVG+7cXfDemwFcprKi4muIKJ13So4hx2DCjc9uFvZm3opC3v15LSUUtDruFiUMzOL1/qu+kVFFwG7B1VzmaqvLq56uC3uR5Y8ZaBnVPYOyANJZt3HvIcwqzSfXnhAoLMeN0BT+n2ri9lNT4cFZt9gVxv1u0nYlDM/25+gzDoLLGRXpCOD2yfdXelqwr8n8HSytdJyTQJtqG1XXno4camXsqSIwJ5azBafxv7lY6RIVy/sislm6SEKIBCQC1AVazL+lzUycVJk3BS/DhXJqm8t2ibYCvZGpirL3Jodn9uyUwZ/kuumRE4QizcsczP/hPur5ftA2H3cLjtwxFNwz2Ftfw6I2Dee69pf7Sx1azxrkjs6mp9ZBflxMgNtLGxWM7YXh1XAb8+T951Lq9LFyzmxvO7cHCJoaCnzsyC7OqBD1hVlRfmePyKhf2EDNRDmuT1XpiImyE281NbrNJU3Gc4GlYqmHQOTm8rjQ8qCpHnVRXCJNJZeG6vQHBH6gPAKzg7/eO4s83DgYF7CEWvG4P7kNcqB5MVRTio0KbXB/tsPlG8x3H1Y3Ho9M1PabJ9clxYVjMKgqHztuiqgq1uq/c/aI1e3DYLb4KhJEhx9y2epqm4vboxDisjO2XjMfjS4bdMImyr+96Ob1fClVON1/N3cLu/VWkJYQzd/kuTu+Xyhdzgo8S6N0pli8brIt22Ji1oIC8Vbu574p+/P39pXi8On+4fhBvzljL4rVFnD0sg9KK2iYDDyUVtcRE2LCY1ICE4KqqcM+UvlhUpU0kgT4WmqYcslKUr3Jl8227WVPISo7w/8YdrHNaFD8sOTBCqLzKxeOvLeTxW058xUfDMFANCNUUwsOtEO6bHnasfVZR6pLCH2L/aRjcc2ku//x4JUs3+KZFqQpEhluJdVhJiLCiqr5Kf4ZhYKgKsxdt571vN/hfo7zKxXvfbqCi2s2Fo7LwGPDovxewa18VD109gF37gv++67pBwe4KJg7LJMRmonNqJKoSPFXZ8N5JLFzjO98YMyCNOSt2BX3NmMgQemRH8/X8rf5li9buYcLANDweLxazygNXDSB/ZxmL1+7BpKlcMq4zXt3glc9WMaRnYrvta+LwVuXvp0NUCGGHCEaeKnLSohhZWcsX87aSGBPK4O4JLd0kIUQdCQC1ATazSv8GyZMbigy34nR5Ka1yER1k3rkBAcPfv/gln9su6sU/PlwecFKXEBPKxKEZPPnmYh68agDT3lzU6I5bZbWLrbvL8XoMvpibj9mkctXEbsRE2PDqBo5QM26Pzsc/bqJvTjxDeiTQu1MclrrI1JbtZdTW5cwoq3RRVFzD2IFpfLdwW8D7DO2VSNf0qKAVVHRFYeGaPbzx1Vpq3V7iIkO4/MwuAXcfGxo7IJ0FqwqZNCKTTw4qQQ9wwWkdsZrUEz4Sx+s9kLMIA7xSMVYcpVqPwac/Nf4O1/s2bxuXjumIrhuE2y2UlBzd1Ea328v4wekBFz4NXXR6pyaDskcjKtxCz+wYVm5uPE3q+knd/QHlpFg7Fq1x4EJRwIPCv/+3kjVb9lPl9N3Jn7eykPNHZXPO8Myg76sooGkahmEEPbbUv+7c5YXMyivA49UZ3juZcQPTsDaRy0U1DM4fmcW4gekUlVRz9yW5/OnVBZwxOJ21W4vZtKM04PFXnNmF+SsPlIIPsfryltRXK/zo+42MH+zLU/LE64u59cJerM4v5qxhWQHTaoOpdrp5+NqBLF2/l217yknv4GDswFRCLVq7viC1mVTGDUzjy7lbGq2zWjSykyOaNQBkUuCGSd353YvzGsVVOqZEUlProaI6sO/tLa2hvLrxb7SmqSiKgtfrbfZRI8dTgUxVFVy6QVGJk5JyJ8lxYThCzUErXBkGmBSDqRf2pMbtpabWi91mwmbWQNfRDQL2f63H4OMfNgV936/nbeHsYZl8/OOmJoM+B6uudTPtjUVERVgZ2LUDUyf3YfqHywL2Z2qHcEblpvD46wvplhnNqL4pfDQ7+LT6oT0T0XWDUJuJ6rpji28Gn+8FXV6Dlz5dyfYG+YN+XV9Ebk4ct1/Ui64Zwc9dRPvn1XVWbN5Pj8ymb3KcagZ17cD+MievzVhHYoyd9ITwlm6SEAIJALUJimFw/Tk92FtSE5B40mG3cOfFffjPF6uZODSDET0TcLsDTzx0r864genMXeGr6LV0w15MmsofrhvEuoJiKqrddM2IBgVe+nQl547IQlUJOuVs8pjOLFqzJ2AEwl9fX4jFpPLIdYOIc1ixqnDdxK6+cr4KdXfPfSe6DUvAA7w9cy0XntaJ3107kBWb9mHSVIb2TCAqzOo/0VQUBR1fHiQDcHu8fPbTZv/d3r2lNewvczJxWCYzGlwAqApcObEbMRFWVmxy07NjHAkxdj74fgPFZU7GDkxj3KB0bBYNl0fHZlYbJbcUojXRDYPSCmeT6/eV1Rz3RWS4zcQdk3vzwscrAi7aJg7JICc1slkubFTD4K6Lc5mVt5Wv5m2l2ukhM8nBlDNy+GXZTn8SZKtF44Er+5PRIcx/S99QFGo8OvNX7iApzs5p/VMprajlja/WUOv28ulPmzmtXypxDd6vPrCzp6SGlZv3ER1uo1fHWKymwKECbkPhyQblrAE+mr2R2Yu388Rtw2jqfq7ba/DUW4vZtqeClPgwpk7uw/6yGq6c0AWPV2fFpn2E2y10SY/mhyU7+L5uRGaozcRdl+Ty4fcHRkJsLSznrs5xaGp3vp63lRCriT/eMAirSSU63IrNogWt+hYTYaOkopbpHyxj3MA07rq4D5GOEMrLqptt6lNrpXt1zhuZTcHu8oCgYojVxO+vG+Sfutds76cbJESG8NdbhvGfL1ezcXspIVYTZwxKo2fHWJ75769Bn1ft9BwIACkKTo/O8vV7KKuspVd2LHFRIb7S6i0cq1NVhZJqN3/6d15A0LFbRjT3TMlFayIIpGAQalIJrc85pgf/3lVUu5ucdq0bvtFs/bt0oF+XeGpqPXi8OinxYf7AcEOaqhBht5K/qwx2+XIHPnrDYP52xwgWrtlDVbWb3Jw4wkLN/LpuL4/eMJj4qBAUBc4cnM7MBQemqquqwuXju/DruiKqnW76dolnzjLfKKEB3RLweHQ0TeXHX3cEBH/qLV2/l0nDswgxqe2+z4ng1m8rpcrpofMh8rGdahRFYfzANPaXb+SFT1fyx2sHYLfJ6CghWpoEgNoA3/mWwcShGYSHWti1r4qYCBtmk8rrX65hR1ElVosJwwiSN0NRSIy1069LPEvqqn8tWruHRWv3MLB7AlMn98br1al1efnTDYOxmRXWb288tN2kqXRKi+T97zY0Wufy6LzzzTrundIXkwGeuuCMju+kykDBa+h0TIlstF0fzd6IxaQyoFuHuvLzHsqqXVhMGmE2E5VOD//5cjXLN+xFN3zl6G84tydfzsn35xl46+u1TByWyd/uHMHOogpURaVjaiSr8/cz9ekfAfj4h010So3ktgt6kxhnZ9aCAn7/4jycLi/hoWYuOr0Tw3omBr3DKURrYNYUumXGsGht45GAAP26dECvK9V8rBTDILdTLC/cdxqbd5bicut0To0kxKI1aw4R1dA5e2gGYwemAwb7y5z8/f1l7Ck+kKy91uXl8dcWMv03o7FpCoai8OvGffzz4+UNLpLz6ZYZzb2X9WXam4swDMhbU0hmg0TKHhSeeHMR+TsPBM9VVeG3V/SjS0oEhm6gaQprC0oDgj/1isudfJtXwDnDMoIGiWtqvf5qQjuKKnn8tYUkxdrpmhHNhKEZaKrCio37CDGbGNEniY4pEVjMGnabmQ+/3xgwSshm0dhZVMn3i7Zx1Vld8Xh1Nu8oJSbciklTufXCXjz33tKAIIGmKlxzdjc+/3kzo/umMGlEFppal3z/FKEaOnde3IfyahdbdpYTGW4lJT7Ml7PuREy1NQwSo2w8cEU/PLqBqihoqsLtT/8QNEAHviAdAIrC6oISnn33V3/88b1vN9A5LYrfXt4PjeYPHmiaitOjU+V0Y9I0Qq0aJsUXHPUaCrphYNEUPB6dWi+Ngj8Aa7YW899Z67n6zC4YTQR3joTFfOhE8l7d4On/LsHj1Yl22Ljw9I7cf2V/fvP3nxsFji4b36VRQu7/e/dXbjyvB8s27MVht/DyZytIiXdw++ReVFS5/dOww0Mt/PGGwRTsLsekqSTF2pm9ZDtzlu1iQLcO/qnhE4dmEGYzgWFQ69X55qARyw3NXFDAbecHT8gv2r8l6/cSYbeQEH38U5HbE5Omcu6wDN6YtZ5Xv1rLHRf0RGnOzPxCiKMmAaA2wmxSWbZhH7+u30O0w0ZljdtfftVq1oiPCkEHDFXF7dUxaQqqovDN4u3876d8rj2nGwO7J/DLsp243Dqj+iYzsGsHosJtlJRUYVV9F0Vej05yXFijnENpCeFs2FbaZPvWbS3B7dEDqs3oisLWPZV8/nM+FdUurj6rGzlpkaw/6HVcHp0+nePZW1LNa1+tYc2WYlQFnr1nNCUVTkb3TWXCkEyqatx8NHsjT721mEeuG8j6bSX+KWUz5m4h0m5meJ8U5izbicmk8sJHywPeZ+P2Ulbm7+eHX3fwy7IDo5gqqt289uUaqp0eJgxKa7ES1EIcimIYXDY+hyXrixpNaYkKt9KrYwxer47peCvL6QZWFXqkR/n+1I3jyvvTFK9Hxwx4gGfe+ZX9ZY1HN3l1g4Vr9nB6bhJlNZ5GfRp85eN3769mQLcEFq7eHTBFTdVUPpy9KSD4A75t+tvbS/jHfacRavIFqWcvDl7ZCeDnZTs5Y2Ba0NzURpD0+7v2VXHXpbn8+dU8yqtc9OoUS2xUCM5aL706xvLIS/MpKW+8vaP7pjBvxS4Kdlfwt7eX8OTU4aQnOkBRefTVPDqmRPLItYP44dft7N5XTWaSgzOHZLC+oJgbz+3J94u383/vLiUhOpQLT+9EdJAKTe2VZhhEhZiJzYlF1335cE5I8KeOrvvKo1vqpgepisJ5o7IDctvUG903xVeNzzBwevSA4E+9DdtK+GreFs4fntmsU4h0RWHB6t28PXOdf0pTp9RIfnNZXzbvLOOruVt85wS5yQzqkUBJhbPJ6Ya/LNvJJWM7Y21wiNFMKrUeHQVfANPjPjCdTdNU3+fQYGNDrSbSE8Ip2N14FE18VAh7iqv8+fqKy5288tkqpl7UmyduH8Y3C7aRv7OM+OgQRuWmsGLTPuYelMunstpFQnQoU87IobzKhc2SRk2th227K/jTv/Nw2C08cFV/isudPPbqAuKjQ9F1g6KSA4nE++bEU7CrnD/dOJjkWHvAjaGmKhgCde2Wm0inIo9XZ9G6IrqmR0lwI4iIMCsTBqXz6S/5zFq4nTMHpbV0k4Q4pUkAqA1QFCiuqOWMQWlsL6oIGH5sNqk8ePUA7CFm8gvLeOOrtewvc9IxNZKLx3SioLCCKqebf3y4nMQYO/27dSDCbmFI9wT/xUyt12BPcQ07iipJjLWTFGtnwpAMZszb6n8fXTcOWUpYUQgodasrCh/O3sSsBtXAnnhjEfdf2Z/5Kwv5Ycl23B6duMiQurKwtWzepTN+cDqn9UulW2Y0n/y4idmLt/tPJmMibNx+UW/enLGW7xZuY0SfZH/+oKzkCDKTI5n69A+cMTCNDdtLg7azV8dY/vTvBUHXffrjJk7rl1J3Qi9E62IYEBli5q+3DOXFT1eytbAcRYH+XTpw7Tndm8xTc6ya87UOTQka/KlXuK8Ss1ljTl7gnffUDuFMOSMHp8tDcZmTs4ZmMKh7AtnJB6qv1Hp0/5Srg+m6wYJVhYzOTUFTaFSyuqH6XC0HX9ypqoLNYqJDdGjA6KWzhmWyvqCE8ioXo3KT6ZYVw7Pv/orT5WVQ9wQuOyOHf30SOM2uU2ok/bt14InXF/nb9/6367ntwt58OWcL2/f4jv3zV+5iSM8keneKZU9JNSq+ijMP/2uuP29b/s4y5q0sZOpFvenbOTZ4Vtx2qqWS6+tenbH9UwkLMfPB9xspr3IRYjVx9vBMxg9KQ9ENTCaVJWsKm/w4Zi0oYOKQ9GY7MdM0lXXbSnj5s1UBy8cOTOOfn6xgxcZ9/mWbdpTyxZx8HrluUJOJlL26gcvtxWrV6vIEwU9Ld5IQbcft1Skpd5KVHEFCtJ1qp5v12/YRajPRMTkSiwYYYNUU7r2sH398ZT6lFQcCTWEhZm65oBev/G9Vo/d9e+Y6rj2nGxXVLnp3jmVQt0T+9O/5/vxfDU29uA/f5G3ju0Xb/OcO0Q4bD1zVn8wkB1t2lfOnVxbw9F0jmbeykN37qwOenxhrp19OPIO7dUA5KHhlNamM7JPcZA6jcQPT2nW+LdG05Zv2UVnjpmdWdEs3pdXqlBLBwK7xfPTjJlI7hNE9Q/aVEC1FAkBtgNms8d3CzawrKOb+K/uztbCc/J2lRIXbSIkPY/aibVx6Rg7Pf7Dcf0K1bMNelm/cyz2X9mXn3kq2FpZTuL+KL37xVZ/pnBZFVoKdXfsq+f2L8wLufsVG2Hj81mFkJjn48PuN7CutQdMUBnZL4J1Z64O2sW+XeGwNkilX1LgDgj/gyyv0+GsLueLMHP580xBKK2uprHYza0EBCTGhnN4/lb0lNazesp99pTWNhnbvL3PyzDu/cufFfXj181WcPfxAWclJI7L4V13ekhCbiYpCl39dRqKDLulReHWDiioXTXF5dKpq3FiCJNMWojUwDIOESBuPXDOAWreOqipYTUqjC5W2RFU4ZFWlHtmxGIZBcYMgUXJcGNee3Y3n3lvqHwkJkBIfxiPXDfL/rRtGQFWsg5VVuiiucBIXbuXMwenkNVGVcPygdCwmBa8ncB+7dPjXxyu4ckJX/u/dX/2fwei+Kbz/3QasZo1RfVN47D95/ovRvNW7MYDfXzeIPcVV7C91kpkcQUW1i2f++2vACIP1BSW4PF6+XXjgWOp0eQOqTEWGW3E6vUHLZL/02Uqm/2a0BLVPEtUwGNkrkQFdO+D26pg1FZtJ9Y/oURSF4vKmk3nX1Hp8gZdm+rxcXoO3vl4XsCzaYcNq1gKCP/WKSmr4eekO+nXpEHSqqd1mwmrRfK+t+6ZbTRnfheffX+oP4t59aS5fztkS0JdMmsK9U/rSJTUStwFbdpXy6I2D2bitlJ17K0mOCyMzycHzHyyjMEjy59LKWqxmE/NX+nIZdkyJDDrOpk/nOHbvq+bbg6ZpFZc7+fO/F3DnJbk88cYiXB6dz3/azN/uGME736xn4epCzCaNcQNTOXt4FmbA8Or+9zCZVHTD97GcMSidH5bsaJTTsFNqZLMnHBdtx0/Ld5EYE0pshEz/OpSRvZLYW1rDC5+s5P7LcslIcBz+SUKIZicBoDaiutbDGYMzePLNRZRXuUiMtVNV4/YnRty5r4rzRmXz+pdr/M8xDPjvrHVceFpH/vnxioDX21pYRkqcnafeXBwQ/AHYV+bksf/k8dhNQ+jd0ZdOVVF8FayuOLMLb88MPKF02C1cd3Z3f9JHk0lj4ZrAUtX1PF6dN2es5f4rB/Dkm4sBX66K6yZ1Z8XGvbz37QbumdKXVz5bGfT5VTVuSipqGZmbTE56FA9dPQBN9eU5inL4quls3llGt8xoioqrueWCXhTur2L5hr2E2kzEH2ZutsWsHXK9EC2tfupJSP0QPj3YJKS2w6TANRO78YdX5jdaFxVupXNqJC6Xl/5dO/gv7CaP6cQ/PlweEPwBXw6elz5Zwf1X9ve9tqaSlhDOtiDTTcB30ba+oIT4ngmkxIcxsLtvGllDGQnhDOuV2Cj/j2ZS+WnpTpZt3IvFovHItQP5duE2tu4qR8EXmBnUI4Gfl+5sNINu4erdLFy9m/GD0xnaM5Gn3l5CVU3jqm2R4TYUFP9U12CqazxUO4NXfHN7dPYUV5MWG9riyYVPFR6Pjlnxjc6FwGpcHo9Obuc4Pv0x+AiSjimRmFSl2aZc6obRKKDSq2Nsk4FOgB+W7ODqs7oFDQBNHtOJkLrtWrB6D6P6pvDKZyv9wZ+uGdEUlVQ3en2P15fXZ/p9p2EY8Mpnq7jnsr68/916YiJCWLV5PxOGZjTZTzVVCRhh/MUv+Vw/qQcvfLgsYKTSaf1S+ff/mjh3cHrYX+70j9abv6qQi8d24sazu3LNxK6AgUVT0RsEflRVocZj8E3eNtZuLSEp1s6ZQ9J5cuow5i4vxGrRSIy1Y9JUoh02TCoYUuHzlLO7uJpV+cVMkGlNh6WqCpOGZfLhD5v427tLufPCXuSkRbV0s4Q45UgAqA3weHzz8w3wB3wOvvDJ31nGZeNzGj13T3E1Dru10fLEGDuVTk/QpKfUvU9ZlQuHtS4gYvj+jc5NplfHWL6at4WS8lr6dYlncPcEbKbA8tDGEZ7AJsXauXJCVxTwD6u2mjUqg1wM1Ssuq6F7Vgx/fjXPf9EUGW7l+knd+XHJDn5dX8QFozqS2zmeFz5aHjA1o2+XDsRHhTQKegF0zYgixKKdkHwnQojgdN0gOTaU+6/sx7//t9p/Z717VjS3Xdgbq+ab2paZ6CAp1s7e0hqsFq3RHfh6Szfs9U2/MSlYVLhhUg/+8HLj4FJ2cgQ1tR7iokLQdQPNMLhxUncmDE5nxrytuL06Y/qnkpMW5avOdNDz3V7dXyVo4erdrNy0jxF9kjlzaDqVTjeDeySwctN+1m8rbnLbV2zaxznDs4IGfwAuGJ1NiEVlQLeERrlO6g3pmci/DgrwNySHs9bDMAwSY0LJTHSwpTAwL5WiwHXndMfUxPSrY6EoCtEOW5N9JXgbISctimG9kpi/che64atYd9HpnRjeKwmvV8dQFH5etoOLTu8UUJ1rdN8UPpzdOAcS+LZp7vJdDO6R6AvGlDkxaxrrC0oAsNvMhFhNQSuQDu6RyJJ1BwJSa7YUExFm5ffXD2bRmt1s31NJx9RIslMiqKhu+txhz/5qohxW9hRXEx8diqL4KsTVnwg3zP+nqgr7Kl387sV5/gDs8o17mblgKw9eNYChvRL529tL2Fg33VxVFcYOSOXiMZ1RjyNJtmh7vl28HbvNRNd0CWQcCatZY/JpHfnsly08/d4yLhvXmdF9kiR3khAn0XFmCxUng64bpMWHYxzmnKKp0qrqQdVgwkPNpHUIP+RdZQheCl41DOLCLVx/Vlfuubg3p/VJwqwE5l3weLwM7JbQ5OsO7J5AQmwoD109gHNGZJG3uhBFUfztr3K6iQpvHLSq1zE1iukfLA+4aCqtqOW5d5dyzvAsNFVhybo95K3eHRD8Afjw+w3cdmFvIg5KjpoQE8qdF+ci43+EOPkUw6B7WhTTbhvK3+8ZxQv3jebeS3MJNan+KRVmBR69YTDjB6dTeYiLPIDaukqEXq9BapydR64dSEaib6i51axxxqA0Lj+zCx98t4H0Dg7/e2iGQWaHMG6/oCd3T+5Nr8zoJktzK4oSMGKwptbDN3kFvPbFGmpdXpauLyInPZKspIjGT66TkeCg1u3lmrO7cXDRruF9kuiaEY3X7eXisZ2xWRofnTqlRhIVbm0yP5tJU0mIkdE/rYkJg4evGcCEIRlY6kbTZCY5+MvNQ0mItDbrFCKrpjB5TKeAZSs372NAtw5NPue0finYTArXn92Vf9x3Gs/dM4r/u2skY/om+5MhK6qC1azhdgeec9hDzZQcYorb7uJqf5L6j2dv5OYLevp/6z+avZG7L80lxBp4XzI7OYLLxufw4687ApbPX1nI8o17uWRMJ+65pDfnD8/AovkCXk1JiQ+jqNh38+fScTlYDnEG7Nbh7+8va3SeZBhQWe3mz6/m+YM/4DtP+yZvG1/OyUc9RD4x0b6UVtYyZ3khuZ3iDplHTgSymjUuGp1Nr+wY3pq1npe/WBP0mkMIcWLICKA2wqQYJMeHNZmcUVMVLKbGFwg5aVFsLTwwyicmwsYj1w7EqimEhZrRVCVoVQtVgQh78AoyhgGeuhM/TxMnq45QM2cMTGtUMtUeYuaKM7sQZjURkhBOekI4A7vGU1Fz4MD/3cJtnDMiizdnrG30ur78BWrQO5pe3WDeykL6d+1AdkokLweZRrZ7fzX//nwVD1w1gFqXl117K0lPCCc+KhSLejIT3wohGvJ6dUxAeP2ow4OmthmG7079haOyqQiS/LWezeIrsV6fsNnw6mQnOZgyLgcD8Oo681cW8uInK3j4mgFYNf/sVVRVwW1AjdODrhuE2jSsmhI0sbBJ8SV7Xru18QifmfO3MqpvCr+u38s5w7P4Jq+gUY4eRYGxg9IoKXeyaXspv79+MNv3VFDr8pKdEsG6ghJ+WLKDs4ekYzPgoWsG8m1eAUs37CXUamJU3xQ6pUby789WccfFfXj0lQWNjuU3ndcDSzNOKRLHzzBAw+CS0zty3sgsdAPMmuIb+dPMvz9er86ArvHsLMpkxrwt6IYvl54C9O4Uy/KD8gDFRYUwflC6f7qjTVOwab7+2HAKpGoYTByaidmkBpyTbN9dQae0SNZtLQnanj6d43yjb+pG4b706UquP7cHbrfOnpJqzCaVZ+8exbY95ewtqaFjSgTRDhuaAo/dNIS3Zq5l844yYiNDmHx6J7qmR+GtC/Z6dAOrpnLZGTn8I0i1wGiHDXuImbLKWi4Z25lOKRGHrLZW4/IGFNyoZ7VohIaYAkY+NTRj3lbOHJxxyOCSaD9m5m1DVRVfsn1xVDRVYVz/VJJj7XyzaDv5u8q4eVIPOqdFtnTThGj32nwAaPbs2Tz33HNs2bKFpKQkbrrpJi688MJDPmfFihW8++67LF68mKKiIjp06MD48eO59dZbCQ0NPUktPzqGASFmldP7p/FdkKo2Zw7JIG91YcCysBAz103qjtujc/elucRE2IiPCsVaF+gINWucNSyTz+sSQzd0+oA0bGb1mMeiq4bBxWM6MahHIp/9tJmKahcDunZgzIBUbJqC7vXlSQBAN7BbTaTEh7GjqJK1W4sZ2D2Bi07vxBdz8v134DqmRHLPlNygpaDr7dxbyZgBqdhDzHiaGBG1o6iSHxZv55oJOWR1CEPX9bpStce0qUKIk8jw6oRaNAZ2S2Dhmsa5TCaP6USUw0plhTPgOR2THTg9OntLajh3ZDYRdjOWBpXTVE1hX7mL595f6r+4i3bYuO3CXmQlhDcKoni9Bl3SIsnNiWPp+r0B6xRFoWd2LAkxoezeX8m9l/XjtS9Ws7fUN/ogMtzKlRO68sPi7Qzvncyc5buYs3wXiTF2TCaV979bj8drcN5IX6J7s6qyYGUhIVYT157dDZdHZ96KXXw0eyPnDM8kJS6M5+4Zxf9+yWfT9lISokO5aEwnYsKt/sT8onXx/wYqgGGcsEJtqm5w/qgsJg7NoKikhlCbiQi7hZ7ZMazd6is973brjMxNZkiPxLobIYdpu26QleRg8boiRuSm8FPd6JxvF27j5vN7Mq1gUaOYY0yEjZy0KN74ag23XtiLaW8spnBfFU+/vYSIMAsxDhs9MmOwadA5yUFOcoT/txkD4sKt3D25Dx7DQEXBoimNAjher06fTrFcOaErH3y/wX/ukJ0cwdSL+1BUXM0j1w3CbjPx7y9Wc+1Z3dCaCI7qTSx32C3sK208hbyey6NT6/Ziscp44vZuf5mT2b/uYFDXDtgsbf5yqsV0y4gmMcbOl/O38te3l3DByCyuOKt7SzdLiHatTR+xFi9ezNSpU7nooot4+OGHWbBgAb/73e+w2+2ceeaZTT7v66+/pqCggBtuuIGMjAw2bdrE888/z/Lly3nzzTdP4hYcHcOrc8m4zoSHmpm5oICaWg+hNhPjB6czrFcSFpOGzWJid3E1nVMjyU6J5IUPl7NtTwUhVhMut5fJYzszYUAqYKBgMHlMJ8JCzXz202aqnR5CrCbOGpbJmYPSD38W2ICqqbi8BgYGZtVXlUg1DLITwrjnkt54deqq6OhB73KaVbj/iv488tI8yqtcvPHVGob2TOS+y/oRGW7FZtEIsWhoqnrIH9r0hHAGdY1HR2Fwz0R+Xho8GfXIPsm4XPoR5yo6mRTF9z8uHeoTU4pTk2ZSqfUYGIaBqipY1MYXPaci1TC46bwexEeF8E1eAS6PTniomYvHdGZor0TMQUZDKoZBiKaQHndgSlTDY1GN2+B3L80LmPJRXO7k8dcX8vQdI4i2m/3l4D0e37FDNQxuv7AXFdVuf0lqu81EeIgZxeslLsKG0+XltS9Wc8m4zjjsVgzDwOny8uWcfLYWljN+cLr//Qr3BybsHdIzEY/HCwZcOLojs/IKePXz1f5j/5QzchjTLxXD48VuVrliXGfcXh2rWSMqMpSSkipkUL3vmGooKu663zSLpp5SgTGTomCxmQiNtx/4zusGvTKj6ZYehYFvFJLv9/nIXlMzDPp3iadXx1iiwqzMyiuguNzJojW7eejqAbz25RoK91WhKNA3J54bJvUgxKRw2fgc3p65jiduH47H48Xp9lJV4yatQxh2i6lBHp7A32bDMFAAc926YKPywHdsGNs3maG9EtlRVImiwLbdFTz+n4XU1Lq5+fxefPLDJlZu3kdltZs7J/f2T21rKNRqIibC5k9wXa+iykXMISo9mU2qv1KaaN8++mkzVrPGgC7xLd2UNi8q3MplYzszd2UhH/+4mXXbS7nhrK44QoPPRBBCHB/FaI1XwEfo+uuvp6qqivfee8+/7De/+Q1r165lxowZTT6vuLiY6OjogGVffPEF9913Hx9//DE9evQ45jZ5vTrFxY3LmDYnxaRS7fJSXulCVRUcoWbMmopqGFgsGhVOL8++t5QN2xoPww6xmnj27pFYFF9p06goO2Xl1VQ5vbg8OmaTSohZbVTxpimqqlDrNfhg9kZ++nUnXl2nb048V0/sRrhNwziK25qapuL06GzeVUb+jjLSEx10To3EalLQ6072FEVhT5mTB/85N2hb/n7PKCJCTERF2dm+p5zfPv+L/8KsXs/sGO68uE+Td/5akqoqVLl1/jtzHQtW70bBdxF4+fgupHQI913QHeFn0xbUfwcbbldcXPhxvebJ6IMng66qzF2xi09/3ExpZS0p8WFcfVY3shLCUQ7x3Q22T9srVVNxunXcXh2LScVmVlHgqLffZFKZkbeN974NnsD2qoldGdTdN+KovNJFvy7xdIj2TRutcun8d9Z65q/yjcAc0iORy8fnEGpWMQwDl6Hwx1fms3t/daPXnTg0k3NHZnLX//2E86BcI/27duDm83oEHKc0TaXGo+M+zLG6Ob4D7aUfqqpCpUvn7ZlrWbh6N4qiMKx3ElPG5RBiUtrktN8j/XwVVcHpMVi2cS97iqvpkRVDWofwZp3urCgKZqvmO4dwe7GYVOxWjRqXbySMqiq+fmn4cmmZTCpVLp33vlvP3OW70HWDAd06cOWEroRZNf9vfXO0y23Ajr2VLF2/l8hwK5lJDj7/JZ9lGw6M2Hv+3lGEBQnYaJrCpsJK/vJaXqPRTE/cNoy/v780aJ8+a1gmk0dnBySUPlbH2wehefvhqfTbcjhrtxbzt/eWMWFQGj2zYpp8nKYphIeHUFFR02TQUgTasbeSL+cX4NV1rjmzK/1y4lq0Pc3RD4VobdpsAMjlctG3b1/uu+8+rrnmGv/y77//nttuu43vv/+elJSUI369zZs3M3HiRP71r39x+umnH3O7TuZJry+ZouK7Q1xHVRVWbinhmXd/bfJ5z90zCodVa/Rjrqi+AEyV043VXDfihkNX9PKg8LsX5/mnNtSzWjSevnMkFpOCta606pFSVQVNU/F6g48WMhSFZZv388pnK/0XTeGhZu66JJfsxHA0VSEqys6+kmp2F1fz/eLtLN+wF5vVxOi+KfTpHEdkqPmQF9EtxWXAfc//0qgKmsNu4f/uHoVFMdrViZcEgILTFYX/frOeH5bsaLTu7ktyye0U02SQ9lQ/ST+W7Vc1lWc/WM7yjb4Lw+zkCM4ZkUWI1YTDbmF7USX/+nh5wIVgx5QI7ru8H7+d/kujykPhoWb+dscILIrveFbtMXjyzUUU1JW5VhQYmZvMVWd2RcOg2q3z2c+b+XV9EXabmUkjsujdMbbRyARV813QV9a4MWsqoVYT5iAX8xIAOqBWh/ue/7nRjYDIMCtP3j4cs9L6fgcO50g+X0VV2FpUyeOvLQzIP9UhOpQ/3TgYq9oyqaHcKDz4whxKKgKTRYdYTfzfXSPx6jpOlxe7zYzNrGAc50VzRa2XV/63iopql7//NfSH6waR2cEefF8oCiVVLt7/bgObd5YRFxXC5NM7k5XkwOXR+evrCwP69Ig+yVw1oWuzVQGTAFDrVO1084dXF2IPMXPp6R0PWb1KAkBHT9MUVJOJD7/fwIbtpfTLieOS0zoSG9n0yLsTSQJAoj1qs1PAtm3bhtvtJisrK2B5dnY2APn5+UcVAFqyZAlAo9drzYL9ABuGQUxk01UwtLrqHQfTVYUv5uTz1dwt/pPFLulR3H1pLlZVCRoEMplUlqwtahT8Aah1eflo9kbsNhN9c+KD5tBoiq4b6HrTFcoUw6Bfxxh63DOKsirfKKjwEPOBkUJ102S+W7SN97/bwOCeiZw7Mptat5f5Kwt56+u1Td71a0maSeX7eQWNgj8A5VUufliynQmDUpE5He2f0+UNGvwBeO2r1XSdOrxuKoRoDooCyXF2lm/cy4BuHRjRJ5nXv1xDaYWT318/mH8GyTvmsFv5ZuG2oGWnK6rd/PjrDiYMSsPr0Qk1Kfz+2oFU1XqoqfXiCDVjNasouo6OL9nuZWM7c+HojqiKb4rSwVP9dEVh3qo9vP31Wn/gOyU+jPsu70dkiKlNjmQ50TRNZda8LY2CP+Cr3jNv5S5O75t8xCNe2xKX12DaG4sbJR/fU1zNf75YzS3n9TjpESCTSWXO8sJGwR/wVdH738+bKa92MW9FIZqqMH5wBheMygo6Reto3nP1lv1NbmpEuKXp3WAYRIZbGNwjgd6d4iitrOXFT1aQ2iGcOy7uwx+uG0ils3GfFu2Xrhu8/MUaqpweJp926OCPOHb2EDMXjMxkVX4xPy7bxUMvL+C03GTOHpYh08KEaAZtNgBUVuarbOVwOAKW1/9dv/5IFBcXM336dMaMGUNGRsZxt62+zGlLiYsMCTp3HWBUbjKhVg2TqvjbqZk0vpu7hf/9HJgMel1BCX9+NY8/3zQ4aB4aRVWYt6qw0fJ6Kzft48LTOvL46wt59q5RRIc17yVriKoQclCwSzX5Rg+VVtby1dyteLwGc5btYs6yXQGP+2npTi4cldWq7mK5dYNFa/c0uT5v1W7G9k9p8e9Xc9LqvldaM+c5asv7SFEUduwsb3J9WaWLmlovIfbg/elE7dO24li3/8zBGXy3aBtnDc3kz//JQ9cNctKiWJ2/P+jjO6ZEsnhd0/114Zo9nDEgzf9dtACWUDNRob7PrX6ko64b/mBPiPlAmxt+h1VVYdXWEv79v1UB77GjqJLfvTiP/7trBCENHt9avgMt3Q9dXuOQn1Hemt2Mzk1u8XYercN9voqisGl7KbXu4DdSFq/dQ+3Z3bGf5FJVOpC3unHi9nrLN+7jjMHpzFtRiFc3mDFvCyFWjfNGZB7VdPKGQjUY0LUDC9c0/h4kxdqJCLVg0oJfxBvAm7PW8/2i7QHL95bW8M8Pl3HXlFxCLKaAUdiorS8g0Fzf79ZyXGkpumHw5qz1rMrfz0WnZRPtsB72OWrdvvL9f+s532zN6veZZtLomR1DTloki9YV8cuKQuauKuTi0ztxWt9kVAm+CXHMWlUAqKKigqKiosM+LjU1tdne0+12c++99wLw6KOPHvfrqXXTj1ran28eyqOvzGdvyYHRObmd47jm7O7Uur0sWLOHDQUldEyNpE/nuEbBn3q79lWxv7yWbpmN5zh7vDqOJkrFg68KmdPlxTDgox82cteluSetUsK+0hoqa1xNri+tqCU8vGWGkzalqsaNPaTpIFlYqBl7qIUQa/sb++FwNN9n0Vr64PEIsx96yL7NajrsNjbnPm2Ljnb7Q+we/nzTEGYt2OYfTWOzmoKOyAOodXvqys0HFxZixm63EBrkMUXF1azYsI9Vm/aRluhgcI8E4iJDgiavBiitcPL2zHVB11XVuFm7tYQxA9IarWvJ70Br6IcV1a5DfkbhIWbCwqxttoLPoT7fyg17m1yn+wprnfTPp9btIfwwv3HO2sDRWl/O2cKEoZl0iD72tt5yQS8qqheztkF5+sRYO3+8YTAdYsOafF7hvqpGIzEtJpXrJvUg1Gbira/XYTVrnNYvlfjoEBz2wwcETrYT0Q9Pxd8Wr1dn+gfLfDcPT+tEn5yjS/xsD219343WruE+O3NoGCNyU5mVV8AbX6/j1437uOfSvsRFnXrfRSGaQ6s665k5cyaPPPLIYR83Y8YMIiIiAF/QqKHyct+d8/r1h2IYBg8//DArVqzgnXfeIT7++DP567pBeXnjxIAnW4RN46+3DKW0wkVZVS3xUaFE2M3sLanmkZfmU1N3kvX94u08dPUA/9/BbN9TQXJ0SKMpBooCE4dk8tOvwSttndY/lTnLfOu2FpZTVu6kpok7bc1J01RCrCZ6doxtVJ653qAeCZSVVbeqaROqqnDuyKwmRxycNyobj8tDSXXTga22RtNUHI4Qystr/KMgjvdktbX0weMRHxlCqM1EdZCpK90yo7FqCiUlwYNEwfbpqeR4tj8+IoTtew78phQUlnNavxRmzt/a6LHzVhZy+fgurNy8L+hrnTsyC5fTTW2DQLSiKJRWu/ndi75qh/XemrGGP1w/mIwO9oOLHwFQ6zX8pemDWV9QwsAu8f6RCM3xHWgP/VBVFc4dlc1Tby0Ouv6cEdk4q13UVDWektSaHcnnm5XU9DlQXGQI5kMcQ04URYGzR2SxoIlRQKP7pvD1QX2t1u2lqtpFyXHkajIB913Wj4oaN/tKa4gMtxJpt2A1qYfcB5XVrkbnCHdeksvM+VtZ1eB3+vNf8pk4LJOLRmdjasZTnOYI3DRnPzxVf1tqaj384+OVrN5azNnDMuiUHE5FRePUB8Gomoo91EpVdW2zJAY/FRxqn43rl0zHpHC+ml/AbU99z6VjOjE6Nxn1BI68a+kbGUKcCK0qADR58mQmT558RI91uVyYzWby8/MZMWKEf3l+vm8ky5Hk8nnyySf5+uuveeWVV+jSpcuxNTqI1jKtSANiwszEhpsxDN+J1FNvL2kU7NENA6tZa3K4eEJ0KG63N+g8+RiHlQtP68jHP2wKWJ7bOY5oh43NO31T8ZJi7ajKyds3DoeZqyZ0Y8XGn/EedAKXEh9GRoIDl6vpPEMtJSvRwei+Kfz4a+Bdx3ED0+iYEonH7Wk136/m5PXqzbpdbX0fWTSFh68ewJ9ezcPdYFuiHTamXtQbdAPPYfJiNPc+bWuOZftVTSU53s6mHaWAL0+MbhhkJDrYWhg4LW9/aQ2dUiM5vX8KsxcH9tcxA1JJ7xCO+6Bjqq4oPPfe0oDgD4DHazDtzUU8e/fIJnI7KcRHhVBUEvyiIz3R914HX5S19HegNXz/OqdEMKJPMr8sC7xRMWFIOkkxoY0+o7bkUJ9vmM3EwO4JLAwSbLluUnesmtIin09CVAhnD8vky7lbApYP6NYBi1lrFOg0aSoWs3bcbVUAh1UjIiHMdy5jGIf97G0WDUU5kCqpU2oke4qrA4I/9WbM3cLwXokkRtpaJLn2oTT359zSx5WTqai0hr9/uJzi8louGpVFRoLjKJM5+/aT7tUlCfQRO/Q+S4sP59oJXfhh6U5e/3odsxZuY9KwTAZ0iT+hgSAh2pNWFQA6GhaLhUGDBjFr1iyuvvpq//IZM2aQnZ192ATQL7/8Mq+//jpPP/00Q4YMOdHNbVH1JyNVTg97ihvfCZq3otB3l3tBQaN1MRE24qNCm6wEphoGEwanMbJPMvNWFVJR7aZnVgz7ymqY/sEy/+MuOr2Trwxss2zRkYkJM/PU1OH858vVrM4vxmJSGTMgjfNHZ2OmZSqgHI5qGFwxPoezh2eyYFUhCgpDeiYSGWYhIsxKSYlkgD4V6F6D5JhQnr93NMs37WXX3iq6ZkaTnRTRrCWcRSDdq3PeyGx+XrrTf3x49X+r+M3l/chbvZsff91BrctLl7QorpvUnRCTymXjcjhraCbzVhaiKL4y8BF2S9DEtTUurz8ofrBqp4e9JU6Sohon8beaFC4dl8PzDY6p/nUWjT6d4k6pO/JHQzUMrp7QhUkjsliwqhBNUxncIwFHiPm4kgu3dqphcNO5PeiYEsHnP+dTWeMmLSGca8/qRlp8WItdwKuGwXkjsxgzIJX5q3bj8egM7pHI5p2lvPjJikaPHzMglRDz0VUSPZSj+chtZpUhPRKZt9KX63BIz0RmL97e5OO/nr+VG8/phsctfbE9WL21mBc/W4XFrHHFGZ2JcTRdYEWcXDaLiQmD0unTMZY5Kwt56fPVfDFvK5eN7US3jOiWbp4QrV6bDQAB3HrrrVx11VU8+uijTJgwgby8PL788kueffbZgMd169aN8847j7/+9a8AfPHFFzzzzDNMmjSJlJQUli1b5n9sWloa0dHt8+BxcDWQenNX7OLey/pS5fQE3CVNjLXzu2sG1F1wNv26qgHhVo2zh6SzvaiKZ9791Z+A2mrRuPm8nsSEWw9ZTv5EiQmzcM8luXh0AwWwmnwnkq35tF81DKJDzZw7LBMAt9vbrMPKRdtg6AZWFYZ07YDa3VfZzlchr6Vb1r5FhJi577J+/OOj5dTUeqhyenj6v0t46KoBXDC6I4Zh+JLoK75AnApEhZo5b/iB/trUVebhgjROlydgxEE9j0enV3YMF57WkU9/2uwPAEaGW3no6gHY6isgiqBUwyDGfmSfUXui6jrjB6QyOjcF3TDQVAWLSouPRFANgwibiXOGpAOg6zr2kFgSY+0BI4CG9kxk8mmdWm7qjG5w7dndqHF5WLp+Lxazdsjp8pU1biQ23/bphsGM+QV8+ks+GQnhnDM0o83mCWvvEmPsTB7dkV37qvhx2S6efm8Zp+Umc+mYTpjbWHJ/IU6mNn1E69+/P9OnT+e5557jo48+Iikpib/85S9MmDAh4HFerxe9wVXT3LlzAfj888/5/PPPAx77xBNPcMEFF5z4xreA8FBz0Kleum4w/f1l/OO+0Vw6rjMlFbWE2kyE28yYj2K0gdvlJTE6xJd7qNKFYRhEhluxasoxV/A4XvUXaJa6AEpbmoPdlqcmiObj9ep45atw8hgG3dIjee7ukZRUuupKQTc4jim+xxx8SDuS/hpiNeGwWxpNAQNffpSkWHuTcQnVMDhrSDpjB6RRXO7EatFwhJqxqBL8OVKn4jHV69F9J3p139vWdCxp+HnYzSp/vG4QVU43VU4PkeFWbCYVxWjZ32zNMJh6YS+qa714dYPteyqYFWS0NMCI3skcR6oi0QoUlzv5z4y1rNlawpDuHRjWI1GmFbUBSbF2pozpyLJN+/hh6U52F1dz54W9sFqCF1YQ4lTXpgNAAGPGjGHMmDGHfMz69esD/p42bRrTpk07kc1qlawmlcvG5/Dal2sarZs8phMmBTStYWn1ox9tYOgGZgXiwi0By4QQoq2oP47FN/NxzGZSuX5Sd559d2mjdWcNzcRmUg89MqVuVFhi5IGpCDIdULQHum6gAQ6bCYet7tS0lYzSUnQDu9k3muDckVn8smxnowT9HaJD6ZEVI1Mx2yiX28sPS3fyvzlbMGsqF5+WTUaCo6WbJY6CoijkdoojJsLGxz/l89IXq5l6QU8pFy9EEG0+ACSOnOHVGdYzkQ7Robwzaz07iipIigtjyhk55KRGSqBGCCFOIK9Xp3tGNI/eOJg3Z6xla2E5cZEhTB7TidxOcYeeayuEaHGhZpW/3TGC97/dwLyVhZhNKmMGpHLO8KzDTpcXrYtuGGwtrGDxuiLmriqkssZN7+xYRvZOlClfbVhavG/a3qc/5/PNwu2cOSitpZskRKsjR7hTjGoYdE2N5PfXDgQFrFYTqq63yopYQgjR3qiGQUacnYeu6l83wMHAZlJPmao6QrRlutcg3KpxxyV9uHJCFwzDwKL5cgtK8Kf1MwyDLYUVzF+9m8XriiirchFqM9E1LYq+neOICre2dBNFM+iYHEH/LvF8/PNmemXHkBQrpdyFaEgCQKcgr1dHw1deNSrcRklJVUs3SQghThn1013qSfBHiLbFZjFh1RQ8HqNN5RY8VZVXu8hbs4eflu1i174qwkPMdE6NpFNqBCmxYZLnpx0a0SuRzTvLeHPmOh64vC+KTAUTwk8CQEIIIYQQQog2zzAM9pc7Kdhdydbd5azfXkr+zjJAoWOKg4tGZZOREC5Bn3bOpKmM65/K+z9s4pcVhYzsndTSTRKi1ZAAkBBCCCGEEKLN8eo6O4qq2LijlPXbS9m4o8xfaTEsxExSTChj+6fSOSWCUJu5hVsrTqb0hHB6ZEXz/uyNdEuPIjYypKWbJESrIAEgIYQQQgghRKul6wZlVS6KSqrZsbeK7UWVbCuqYGdRFW6vjqYqJMaE0i09iqRYOwnRoYSFNG/Ax/C6MWorMZxVGK4qDFcNuGrBW4vh9YDuBQxQVFBUVIsVJSwMt2HGMIWihISh2MJRTJJr6GQ5PTeZHUWVTP9kJfdflotdgoBCoBhGK6mz2U4YhtGmyvJqmtouy5a2x+1qj9sEjbdL09Tjer221gdPhPb6XTlSp/r2w/HvA+mHrZt8x1vWydj/x9sH4fj7oWEY6IYv+GIYhn+7DXzLXG4vTpcXp8uD263j1Q0UBVRVwaSpqIqCooCigGH4/nl13+M8Xh23W6fW7cVZ66G82k1JhZN9pTXsL3NSVlVLjdOD2+N7TE2th/orFk1ViIsKoUN0KEmxdpLiwkiOs2M2acE2ou6fjqHrGLoHQ/eC14PhcWN4XL5/bhe6pxbcteguJ4bLibe2Ct1ZiV5TiV5dju6qOejFFRSTBcVkAtWEoqq+jdUNDKPuPdwuDN0T8CzVbEO1R6DZI9FCI1BDHag2O6olBMVi87+moppA1VA0DRQVRa37//qdSt00tmD5bdpwzhtNVfE2Y1b1wv1VvP7lGiLCrFw+vgu9OsYQHmo5orxAzdEPhWhtJAAkhBBCCCHEKaayxs2UR2a0dDOOmgkvKq0hAHqkQRa51DqpFAXFHDjKqjZIteNxA9O485Lck9UqIVoNCQAJIYQQQgghhBBCtHMyrk0IIYQQQgghhBCinZMAkBBCCCGEEEIIIUQ7JwEgIYQQQgghhBBCiHZOAkBCCCGEEEIIIYQQ7ZwEgIQQQgghhBBCCCHaOQkACSGEEEIIIYQQQrRzEgASQgghhBBCCCGEaOckACSEEEIIIYQQQgjRzkkASAghhBBCCCGEEKKdkwCQEEIIIYQQQgghRDsnASAhhBBCCCGEEEKIdk4CQEIIIYQQQgghhBDtnASA2qnNmzdz7bXX0qdPH4YNG8ZTTz2Fy+U67PNKSkr4wx/+wOjRo+nTpw9nn30277777klo8eEVFBTwhz/8gXPPPZdu3bpx9tlnH9HzDMPg5ZdfZvTo0fTq1YtLLrmEZcuWndjGHoVj2a6ioiKeeuopzj33XHJzcxk5ciS/+c1v2Llz50lo8eEd62fV0Ouvv05OTg4333zzCWhh23Ss/bq194EjdSzb39r7ytE61u9AQ9K3Wq9TvY+3NDnGBJo9ezaTJk2iZ8+ejB8/no8//viwz1mxYgUPPfQQ48aNo3fv3pxxxhk888wzVFdXn4QWnzzSV4+e9C8hWgcJALVDZWVlXH311bjdbqZPn84999zDBx98wLRp0w773LvuuovZs2dz55138q9//YsRI0bw6KOP8sEHH5yElh/axo0b+emnn0hPTyc7O/uIn/fKK6/w/PPPc8011/DSSy8RFxfHddddx/bt209ga4/csWzX6tWr+fbbb5kwYQL//Oc/efDBB9mwYQOTJ0+muLj4BLf48I71s6q3d+9eXnjhBWJiYk5A69qm4+nXrb0PHIlj3f7W3leOxvF8B+pJ32q9TvU+3tLkGBNo8eLFTJ06lT59+vDKK68wYcIEfve73zFz5sxDPu/rr7+moKCAG264gZdffpmrr76aDz74gFtuueUktfzEk7569KR/CdGKGKLdefHFF40+ffoYJSUl/mXvvfee0bVrV2P37t1NPq+oqMjo3Lmz8fHHHwcsv/zyy42rrrrqRDX3iHm9Xv9/P/DAA8ZZZ5112Oc4nU6jb9++xjPPPONfVltba5x22mnGH//4xxPRzKN2LNtVVlZmuN3ugGWFhYVGTk6O8eqrrzZ7G4/WsWxTQ7/97W+N+++/37jiiiuMm266qbmb1yYda79uC33gSBzr9rf2vnI0jnUfNCR9q/U61ft4S5NjTKDrrrvOuOSSSwKW3XvvvcaECRMO+bz9+/c3Wvb5558bnTt3NlauXNmsbWwp0lePnvQvIVoPGQHUDv38888MGTKEyMhI/7IJEyag6zpz585t8nkejweA8PDwgOVhYWEYhnFC2no0VPXov66//vorlZWVTJgwwb/MYrEwbtw4fv755+Zs3jE7lu1yOByYTKaAZQkJCURHR1NUVNRcTTtmx7JN9RYvXsx3333Hb37zm2ZsUdt3rP26LfSBI3Gs29/a+8rRONZ9UE/6Vut2qvfxlibHmANcLhd5eXmceeaZAcsnTpzI5s2b2bFjR5PPjY6ObrSsW7duAG12fxxM+urRk/4lROshAaB2KD8/n6ysrIBlDoeDuLg48vPzm3xeYmIiw4cP58UXX2TTpk1UVlYyY8YM5s6dy+WXX36im31C1G/vwfsjOzubXbt24XQ6W6JZJ8SWLVvYv3//MU25ai28Xi+PPfYYt9xyC/Hx8S3dnFblWPt1e+kDx7r9wbTVvnI8+0D6Vut3qvfxlibHmAO2bduG2+0O+p0Cjnp/LFmyBGj8HW2rpK8ePelfQrQepsM/RLQ15eXlOByORssjIiIoKys75HPr5+WeddZZAGiaxiOPPML48eNPSFtPtPLyciwWC1arNWC5w+HAMAzKysqw2Wwt1LrmYxgGf/nLX4iPj/d/dm3RO++8Q01NDddcc01LN6XVOdZ+3V76wPEc1xpqy33lePaB9K3W71Tv4y1NjjEH1G/vwfuj/u+j2R/FxcVMnz6dMWPGkJGR0WxtbEnSV4+e9C8hWg8JAAk/wzB46KGH2Lp1K8888wxxcXHMmzePv/71r0RERMiBthWbPn06CxYs4N///jehoaEt3Zxjsn//fp5//nmefPJJLBZLSzdHtFPtoa8cLelbQpw8rfUYU1FRcURTZlJTU5vtPd1uN/feey8Ajz76aLO9rjh1tdb+JURbIgGgdsjhcFBRUdFoeVlZGREREU0+78cff2TmzJl8/vnn5OTkADBo0CD279/PtGnT2mQAyOFw4HK5qK2tDbjjUl5ejqIoh9wfbcUHH3zACy+8wOOPP86QIUNaujnH7O9//zs5OTn079+f8vJywJeXyuPxUF5eTmhoaKN54KeSY+3X7aUPHOv2N9TW+8qx7gPpW23Dqd7HW1p7P8bMnDmTRx555LCPmzFjhn97D94f9cePI9kfhmHw8MMPs2LFCt555512NfVU+urRa+/9S4i2RM742qGsrKxG82krKirYu3fvIedfb9q0CU3T6Ny5c8Dyrl278uGHH1JTU0NISMgJafOJUr+9W7ZsoUuXLv7l+fn5JCUltfmhtt9++y2PPvood955JxdddFFLN+e4bNmyhUWLFjFgwIBG6wYMGMArr7zCyJEjW6BlrcOx9uv20geOdfvrtYe+cqz7QPpW23Cq9/GW1t6PMZMnT2by5MlH9FiXy4XZbCY/P58RI0b4lzeVwyaYJ598kq+//ppXXnkl4HvZHkhfPXrtvX8J0ZZIEuh2aOTIkcybN89/pwZ8d35UVWXYsGFNPi85ORmv18v69esDlq9evZqYmJg2F/wB6Nu3L2FhYXz99df+ZW63m2+++abNX/Dk5eVx7733MnnyZG6//faWbs5xe/jhh3nzzTcD/nXp0oU+ffrw5ptv0qtXr5ZuYos61n7dXvrAsW4/tJ++cqz7QPpW23Cq9/GWJseYAywWC4MGDWLWrFkBy2fMmEF2djYpKSmHfP7LL7/M66+/zrRp09rlSA3pq0dP+pcQrYeMAGqHLr30Ut566y1uv/12br75Zvbs2cNTTz3FpZdeSocOHfyPu/rqq9m1axfffvst4Ds4JyUlceedd3L77bcTHx/PnDlz+PTTT7njjjtaanP8ampq+OmnnwDYuXMnlZWVzJw5E4CBAwcSHR3daJusVis333wz06dPJzo6ms6dO/Puu+9SWlrK9ddf32Lb0tCxbNfmzZu5/fbbycjI4Nxzz2XZsmX+14uOjiYtLe2kb0dDx7JNXbt2bfQ6DoeD0NBQBg0adPIa30oda79uC33gSBzr9rf2vnI0jnUfSN9qG071Pt7S5BgT6NZbb+Wqq67i0UcfZcKECeTl5fHll1/y7LPPBjyuW7dunHfeefz1r38F4IsvvuCZZ55h0qRJpKSkBOyPtLS0oGXi2xrpq0dP+pcQrYcEgNqhiIgI3njjDR577DFuv/127HY7F110Effcc0/A43Rdx+v1+v8OCwvj9ddf59lnn+Xpp5+moqKClJQUHnzwQa644oqTvRmN7N+/n7vuuitgWf3fb775JoMGDWq0TQA33ngjhmHwn//8h+LiYrp27cqrr77arIkOj8exbNfy5cupqKigoqKCKVOmBDz3/PPPZ9q0aSe+4YdwrJ+VaNqx9mto/X3gSBzr9rf2vnI0juc7IFq/U72PtzQ5xgTq378/06dP57nnnuOjjz4iKSmJv/zlL0yYMCHgcV6vF13X/X/PnTsXgM8//5zPP/884LFPPPEEF1xwwYlv/AkmffXoSf8SovVQDMMwWroRQgghhBBCCCGEEOLEkRxAQgghhBBCCCGEEO2cBICEEEIIIYQQQggh2jkJAAkhhBBCCCGEEEK0cxIAEkIIIYQQQgghhGjnJAAkhBBCCCGEEEII0c5JAEgIIYQQQgghhBCinZMAkBBCCCGEEEIIIUQ7JwEgIYQQQohT3IMPPsjpp5/e0s0Qot345JNPyMnJYceOHS3dFCGE8JMAkBBCCCGEEEIIIUQ7pxiGYbR0I4QQQgghRMtxu90YhoHFYmnppgjRLni9XjweDxaLBUVRWro5QggBSABICCFEK+XxeNB1XS5IhWhG1dXVhIaGtnQzhBBCCNECZAqYaNOaylkwffp0cnJyDvv8kpISfvvb39K3b1/69+/PAw88wLp168jJyeGTTz45EU0Wol3Ly8vjggsuoGfPnowdO5b33nvviPrjjh07yMnJ4dVXX+X1119n7Nix9OzZk82bN5+klgvR/tT3vU2bNvGb3/yGAQMGcNlllwV9rOQAEqJ5HUkOoAcffJCcnJyg/6ZPn34SWyuEOFWYWroBQrQUXde59dZbWbFiBVOmTCErK4vvv/+eBx54oKWbJkSbtGbNGm644Qbi4uK444470HWdF154gejo6CN+jU8++YTa2louvvhiLBYLERERJ7DFQpwa7rrrLtLT07nnnnuQgd9CtB6XXHIJQ4YMCVj2yy+/8MUXXxzVb6cQQhwpCQCJU9Z3333H0qVLefjhh7n66qsBmDJlCtdee20Lt0yItun5559H0zTeffddOnToAMCECROYOHHiEb/G7t27+fbbb+XEV4hm1KVLF5555pmWboYQ4iC5ubnk5ub6/y4oKOCxxx5j2LBhXHrppS3YMiFEeyVTwMQp65dffsFsNnPxxRf7l6mqyuWXX96CrRKibfJ6vcyfP58xY8b4gz8A6enpjBgx4ohf54wzzpDgjxDNTC4khWj9qqurmTp1Kg6Hg2eeeQZN01q6SUKIdkhGAIl2r7S0FLfb7f/bZrMRHh7Orl27iIuLIyQkJODxaWlpJ7uJQrR5+/fvx+l0kp6e3mhdw2VN9cd6KSkpJ7ahQpyC6vuV0+mkoqIiYF1cXFxLNEmIU0pFRQVOp9P/t9lsJjIyMuAxv//979m2bRvvvfceUVFRJ7mFQohThQSARJvWVFlNr9fr/+877riDhQsX+v8+//zzmTZt2glvmxCiscP1R5vN1hLNEqJds1qtAMyYMYOHHnooYN369etboklCnFIef/xxPv30U//fAwcO5K233vL//cYbb/Dll1/yt7/9ja5du7ZEE4UQpwgJAIk2zeFwUF5e3mj5rl27/P/9wAMPBDwmPj4egKSkJPLy8qipqQkYBbRt27YT2GIh2qeYmBisVisFBQWN1jVc1lR/FEKceMOHD+e1115r6WYIccq54YYbmDRpkv9vh8Ph/+/Fixfz1FNPcfXVVwc8RgghTgQJAIk2LS0tjYqKCtatW0eXLl0AKCoq4ttvv/U/pkePHkGfO3z4cD744AM++OADfxJoXdf573//e+IbLkQ7o2kaQ4cO5fvvv2fPnj3+PEAFBQX88ssv/sc11R+FECdefHy8BF2FaAEdO3akY8eOjZYXFRVx991307dvX+6///4WaJkQ4lQjASDRpk2cOJGnn36aqVOncuWVV+J0Onn33XfJzMxk9erVh3zu2LFj6dWrF08++STbtm0jKyuL2bNnU1ZWBjQ9vUwIEdzUqVOZM2cOU6ZMYcqUKei6zttvv02nTp1Yu3ZtSzdPCCGEaFX+8pe/UFxczA033MBXX30VsC4nJ8d/c1MIIZqLBIBEmxYVFcU//vEPpk2bxt/+9jdSUlK49957KSgoOGwASNM0XnrpJf+8bFVVGTduHLfffjtTpkzx50wQQhyZHj168Morr/DUU0/x97//ncTERO68807y8/PJz89v6eYJIYQQrUpJSQler5cnnnii0bqpU6dKAEgI0ewUwzCMlm6EEK3Jd999x+23384777xDv379Wro5QrR5t912G5s2beKbb75p6aYIIYQQQghxylJbugFCtKSGJTnBVz3srbfeIiwsjO7du7dQq4Rouw7uU1u3buXnn39m4MCBLdQiIYQQQgghBMgUMHGKe+yxx3A6neTm5uJyufjmm29YunQp9957r5SjFuIYjB07lvPPP5/U1FR27tzJe++9h9ls5oYbbmjppgkhhBBCCHFKkwCQOKUNHjyY1157jR9//JHa2lrS09P5/e9/zxVXXNHSTROiTRoxYgRfffUVe/fuxWKx0KdPH+69914yMjJaumlCCCGEEEKc0iQHkBBCCCGEEEIIIUQ7JzmAhBBCCCGEEEIIIdo5CQAJIYQQQgghhBBCtHMSABJCCCGEEEIIIYRo5yQAJIQQQgghhBBCCNHOSQBICCGEEEIIIYQQop2TAJAQQgghhBBCCCFEOycBICGEEEIIIYQQQoh2TgJAQgghhBBCCCGEEO2cBICEEEIIIYQQQggh2rn/B/cGp8Po+FypAAAAAElFTkSuQmCC",
|
|
"text/plain": [
|
|
"<Figure size 1160.35x1000 with 20 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"# YOUR CODE HERE\n",
|
|
"sns.pairplot(X_pd_all.drop(\"target\", axis=1), hue=\"target description\", diag_kind=\"kde\")\n",
|
|
"plt.show()\n",
|
|
"#raise NotImplementedError()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "cf6915bf6aa3ce7f12e619edc09b06e1",
|
|
"grade": false,
|
|
"grade_id": "cell-149d6b589054b26b",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"Let's separate the data into training and test sets, keeping 25% of the data for testing. "
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 51,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "386593a707ee1226d8721ea92970f653",
|
|
"grade": false,
|
|
"grade_id": "cell-22b31f7602338d7f",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"from sklearn.model_selection import train_test_split\n",
|
|
"X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.25, random_state=1)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "55ce997145aece349fa6ae7401d4cb1d",
|
|
"grade": false,
|
|
"grade_id": "cell-34fc23b040e948f7",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"First let's consider 1D classification for the zeroth colour, i.e. $u-g$. "
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 52,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "7c77a8433e4898de59b775624cf05767",
|
|
"grade": false,
|
|
"grade_id": "cell-53b81bcac2b85a55",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"'u-g'"
|
|
]
|
|
},
|
|
"execution_count": 52,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"ind = 0\n",
|
|
"col=cols[ind]\n",
|
|
"col"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 53,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "b3578a7b38fba9d5a52458bf8df86c7f",
|
|
"grade": false,
|
|
"grade_id": "cell-7a87a3946325c16c",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"X_train_1d = X_train[:, ind]\n",
|
|
"X_train_1d = X_train_1d.reshape(-1,1)\n",
|
|
"X_test_1d = X_test[:, ind]\n",
|
|
"X_test_1d = X_test_1d.reshape(-1,1)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "838b5dad42b1e778c11cd408b6987daf",
|
|
"grade": false,
|
|
"grade_id": "cell-bb6c2985470ef60d",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"To get some further intuition about the 1D classiciation problem consider a 1D plot of\n",
|
|
"class against colour."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 54,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "c32035c4ae5b83d6b7f73e39bda0d7a6",
|
|
"grade": false,
|
|
"grade_id": "cell-aac19aaa4019fefc",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"<matplotlib.legend.Legend at 0x783473d50490>"
|
|
]
|
|
},
|
|
"execution_count": 54,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": 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hak/l+e1/adu6D+Ro45rUUleNKm1/gfQ/1sp7fEpy+LWZKv0YFtenrOPxXdIfZV9/U8zMVUXjK2+cZdm0NrXM2auj9xlMvIDdmF5Ti5P+8FtRcNPa1DJnnEpy9Ge2PGOV9Hm323f7YR6Pl58nqgHbF1hnnXWWoqKiNH/+fF+BlZ+fr6+//loJCQlVHF1gjl5hSio8x/fkU+v5ZrEqW3Z2ti666HzfY6fTqbFjX1LTps2LbPvppx/p008/8j0+6aSmeuKJZyu0/7PPPkeNGjXWl19+rsTEoSooKNDXX89X7959i/yG6IILihZCa9f+prfeel2//75Jbvc/1xj8+ecOSVJOTo5++221EhOHyuP5Z6bopJOaql69+tqwYb2lBRaqRnGfpYoq7bMYyP6O9We5NFYfn5++3xbw/QoPK+t4HLlyYEUVXj8W3HGvaN6COdbBHE/Arjas3q3Ol56skBBHkdX+gnH4Myup3GP99L3/591u3+2ofqpVgZWdna3FixdLknbu3KmsrCwlJSVJks4991zFxsZq4MCB2rVrlxYsWCCpcPW7wYMHa+LEiYqNjVWrVq30wQcf6MCBA7rjjjuq7LWUx9ErTElFZ7EqW1hYmCZPflNer1d//fWnpkyZpGeeeVzvvvuh6tSp47ftJZdcpptuGqDc3Dz9+ONSzZz5jsaPf05PPvlc0Ps3DEM9e/bRRx/N0uDBiVq2bIkOHEjXlVf2LLJtTEyc3+Pdu3drxIh71aZNWz344GjVqVNXNWrU0IMPDlNe3v9WCst0y+PxaMKElzVhwstFxtyzJzXo2FF9/P1nRtC/AS2J+0CO/v4zQ42b1Q5qf6X1P9asPj7BjFXW8Vi3YpdlRUZFrgGqaN6COdZWv3eB6sw0Ta1bsUvtz23yv89Lxa7ZO/yZlcr/2c/M8P+82+27HdVPtSqw0tLSNHToUL+2w4/fffddnXfeef+77sn/WpW77rpLpmnq7bff1v79+9W2bVtNmzZNJ5100jGLPVil/ZbkWP52xOFwqE2bUyUVriDYtGkz3X33IE2f/qZGjhztt23t2rV927Zv30HZ2Yf08ccf6vrrb9JppwV/muCVV/bUW29N0bJlS/Tll5/prLM6qlGjxkW2O/ou6suXL1N29iE9++wLqlWrlqTCUxiPnMmKiipcmXHAgNuUkHBRkTGjo2sHHTeqjwaNXbq8z6nyHHF6hNfj1d7ULN81fA6nobr1a8nhMOT1mtqbmimHYahZyzjl5OTLe9Tpv84Qhxo0dgW8v6OV1v9YK/b4eE3t+dutjPRseb2mHA5DUa5wGUbhDx2H21y1I1S/YS05jjj//PBH8XA9dPSxlvyPt1T28WjbroGyMnNVkO+R6TULYziq4AoJcerUDg20a0eGvF5TdetH+cVVXHyHc+31mDJN0++1RbnC5XAYcjgM31gVzVuDxi5d2rONdu9yF9mn79gcdVz94j3iWHq9ptzp2cpIz5apwpvBSpIhQ2FhIcp05yg/3yOPx6vQsBDJlPLzC444RdmQw2koJMRQjdAQ5WYX3vcoPKKG8vIK+8kszI0hKS+vQCE1nIU5MAvjNCV5CswyT900HJLT4ZAcksOQTK+Un8/pSsdCZa40XPwOC+eHzf/t25AUUsNZuIjVEU+EhjkVWTPUr6vDYSgmLlJt2xUu6NWgsUuXXNlaf2zY47t2OSc73++XLfl5HoWGOVW/gUuOEIff51Xy/245cqzsg3nKzfXIf0lDQ2HhhWOFhDnVoJHL7/Nut+92VD/VqsBq0qSJNm3aVOo2M2fOLNJmGIYGDx6swYMHV1Zolaa42avDjvUs1pHatDlVl156hebNm6vbbrtLcXF1Stz29tvv1vz5X2jmzLc1blzR2aFAxcXV0QUXXKj3339XGzas0yOPPBFQv9zcXBmGoZCQf97O33yz0K8Qj4iI0Omnn6Ht27eqTZt/BR0jqjdniEMt29Qt0t6mmG3/ea6BQkIciompqfT0g+U6d72k/VVXJR6fdkVXLQ1Wacc6EKHhIercrWWp2/jydWr58tVG1r3OsjhDHDrltPo65bTgv78reiyrk2A/Y6gaxzpfzhCHWrdroNYWfRdVdCy7fbej+qk+y5+cgAI9x7eq7ho+aNAd8ng8mj37g1K3c7mide21N2jp0u+1bVvZ5z0vXZqsb79d6Pdn+/ZtkqRevfpo7do1ioiIVNeulwQU59lnnyNJeu65J/XLLz/po49m6Y03Jikqqpbfdv/611D98MNSjRkzWosXf6sVK37RV1/N0zPPPK4VK34JaF8AAABAaSiwqlB5zvGtCk2bNle3bpdrzpyPlZVV+hLA/fvfrMjISL333owyxx079ik99tgovz/ffrtQknTuuZ0UHh6uSy+9osjNo0vSsuXJevjhx7Vp0wb93/8N18KFX+mZZ55XVFSU33ZnnNFer732lrKzD2ns2Cf14IND9c47byk8PFxNmlT/00kBAABQ/RkmSxaVyOPxav/+g8U+l5+fp7S0vxUX11A1aoQWu02Z4xd4tW1zWpnn+DY/OU5h4SEnxGkVv/76s4YOvUdvvTXTdwNjuwoJcZSZMyveR6g4Tl+yF/JlP+TMXsiX/ZCzyhcbW/PEuQ+WnXGO7z/27durv/76U5Mnv6ozzmhv++IKAAAAJyZOEUS18Nln/9X99w+RJI0a9VgVRwMAAAAEhxksVAt33DFYd9xhv1UgAQAAgCMxgwUAAAAAFqHAAgAAAACLUGABAAAAgEUosAAAAADAIhRYAAAAAGARCiwAAAAAsAgFFjRt2hvq0qWj788ll1ygm2/up/femyGv19q7ga9Y8Yu6dOmojRvXWzpudTRr1nvq0qVjVYcBAACAY4j7YEGSFBYWpldfnSJJysvL1YoVv2jKlEnyek0NGDCoaoMDAAAAbIICC5Ikh8Oh008/w/f4rLM6asuWzUpO/sY2BZZpmsrPz1doaGhVhwIAAIATFKcIVqECr1e/7c/Uyn3uEv/8tj9TBRafpheoyMhIFRQU+B6//vpE3XrrDbrssgvVp08PPf74w9q3b1+RfsuWLdE999yubt06q3v3i3XvvXfr9983lrifH39cpm7dOmvatDd8batXr9Jtt92kSy65QAMH9tfPP/+oQYNu0rPPPuHb5tlnn9CAAdfrhx+WaODAG3XxxZ20dGmyJGnx4m80aFBh/969u2vixJeVm5vr6ztv3lx16dJRBw4c8IulpH2sWPGLbrvtJl16aRfdddet2rhxg1+/gwez9PTTY3TZZQm6+upL9dprr8rj8ZR6fAEAAHD8YQarCu3IytEHW3aXud2drRurVWxUpcdzuJg6fIrg4sXfaMCA23zPp6fv14ABt6lOnbo6cCBds2a9p3vvvVv/+c9shYQUvpUWLfpaTzzxiLp06arHH39WNWqEaM2a1dq7d69atWpTZJ+LF3+jJ598VHfeeY9uummAJGnfvn0aOfI+tWrVRk89NVZZWVl68cVxOngwS6ec0sqv/759+/Tvf7+ogQPvUP36DVS/fgMtWbJYjz76kLp1u1xDhtyrHTu26Y03Jis1dbeeeWZ8uY/L/v1pevXVF3XzzYMUFRWlN96YpIcfHqnZsz/zve6xY5/S8uU/asiQe9WoUSN9+unHWrDgq3LvCwAAAPZGgVWFmtWKUExoiNLzCop93pAUExaiZrUiKj2W7OxsXXTR+X5t3bpdpltuGeR7/PDDj/v+7fF4dPrp7XTNNVdqxYpfdO6558s0TU2e/KrOOed8jR37om/bTp26FLvPpKQvNW7c0xo2bKT69Onna589+z05nU698MK/FRlZU5LUsGFjJSbeWWSMzEy3Xnxxgk477XRf25gxo3TaaWfoiSeelSSdf/4FCgsL1wsvPKctWzarZcuTy3FkJLfbrYkTpyo+vqUkKTw8XPffP0Tr1q1V+/YdtHVrihYv/lYPPfSorr66tyTp3HM76cYb+5ZrPwAAALA/ThGsQk7D0KWN40p83pTUrVGcnIZR6bGEhYXprbfe1VtvvavXXntLQ4eO1PLlP+j555/xbfPDD0s1ZMjtuuKKrura9Txdc82VkqQ//9wuSdqxY7v27EnVVVf1KnN/n332qcaNe1qjRj3mV1xJ0oYN63XmmR19xZUktW/fQS5XdJFxoqOj/YqrQ4cO6Y8/ftdFF13it123bpdLktasWVVmbEerU6eur7iSpBYt4iVJe/emSpI2blwv0zSVkHCxbxun06mEhIvKvS8AAADYGzNYVaxdXC0t3JlWZBbr8OxVu7haxyQOh8OhNm1O/Seudh3k8RRo0qR/q3//m5Wbm6tRo0bowgu76pZbBqp27VgZhqHBgwcpNzdPkpSRcUBSYUFSlsWLv1H9+g10wQVFZ7fS0vapSZOmRdpjYmKKafMvULOyMmWapmJj/dujoqIUGhoqtzujzNiOFhXlf3pmSEgNSVJeXuHr3rdvn0JCQuRyufy2OzoGAAAAHP+YwapiJc1iHcvZq5I0a9ZCkrR1a4qSk79TVFSUnnpqnLp06arTTz9DcXH+cUdH15Yk7du3t8yxH330STmdTo0YcZ8OHszyey4uro4OHEgv0ic9vWjb0YcnKqqWDMNQevp+v/asrCzl5eX5ZsEOrzRYUJDvt11mprvM2I9Wp04dFRQUyO3277t/f1q5xwIAAIC9UWBVA+3iaikm9J/JRENS7DGcvSrJ1q1bJBUWTrm5OQoJCZFxREXz9dfz/bZv2rSZ6tWrr3nz5pY5dmxsrF599XW53RkaOfJ+ZWdn+55r2/ZUrVjxsw4dOuhrW716ZUCzT5GRkTrllFb67rtFfu3ffLNAUuHMnCTVrVtfkrRt21bfNtu2bdWePall7uNoh2f+kpO/9bV5PB4lJ39X7rEAAABgb5wiWA0cnsX6aGvhD/dVMXvl9Xq1du1vkgpndTZt2qAZM6apefN4dehwlvLz8zR79gd65ZXxSki4WGvXrtFXX83zG8MwDCUmDtUTTzyiRx55UN27X6UaNUK1bt1vatPmVHXufKHf9nXr1tOrr76uxMS7NGrUCI0f/2+FhYXp+utv1qeffqwHHxymG28coKysTL3zzpuqXbu2X4FXkttvv1ujR4/UU089pssv76EdO7Zr6tTJuuiiS3wLXJx22umqV6++Jk58WYMH36uDB7P0n//MUHR00eu8ytKiRbwSEi7WhAkvKy8vTw0bNtSnn36s/Pz8sjsDAADguMIMVjVx5CxWVcxe5ebmasiQ2zRkyG0aOvQeffzxbF1++ZWaOHGKQkJC1KlTF91zz31asiRZo0aN0OrVKzV+/L+LjNOt2+UaO/Yl7d27V48//oieeOIRrVmzSvXq1St2vw0bNtKECVO0bdtWPfLIg8rPz1edOnX04osTdOjQQT322EP6z3+ma+jQkYqIiCxyPVRxunTpqqefHqctWzZr9OgH9N5709Wr1zV67LGnfduEhITouedeVGhoqG8f9903XHXqFB9nWUaPHqMuXRL0+usT9Mwzj+ukk5qpf/+bghoLAAAA9mWYpmlWdRDVlcfj1f79B4t9Lj8/T2lpfysurqFq1Ai1ZH8r97n10dZUXdeivs6s479gQkiIQwUFVXPD4ergzz936Oab+2n06DHq0ePqqg4nIIHkrDLeRyi/kBCHYmJqKj394An9ObML8mU/5MxeyJf9kLPKFxtbU05nYHNTnCJYjXSIq6W64aFqXDOsqkOpclOmTFLLlierTp262rVrp2bOfEdxcXXUteslZXcGAAAAqggFVjViGIaaRIVXdRjVQn5+vl5/faLS0/crLCxMZ555tv71r6GKjIys6tAAAACAElFgoVq6777huu++4VUdBgAAAFAuLHIBAAAAABahwAIAAAAAi1BgVRCLMKIieP8AAAAcXyiwguR0OiVJeXm5VRwJ7Ozw+8fp5HJIAACA4wE/1QXJ4XAqIiJKWVnpkqTQ0DAZhlFp+/N6DXk8zHbYSWk5M01TeXm5yspKV0RElBwOftcBAABwPKDAqgCXK1aSfEVWZXI4HPJ6uXGcnQSSs4iIKN/7CAAAAPZHgVUBhmEoOjpOtWrFyOMpqLT9OJ2GoqMjlZFxiFksmwgkZ05nCDNXAAAAxxkKLAs4HA45HKGVNn5IiEPh4eHKzvaooIBZLDsgZwAAACcmfn0OAAAAABahwAIAAAAAi1BgAQAAAIBFKLAAAAAAwCIUWAAAAABgEQosAAAAALAIBRYAAAAAWIQCCwAAAAAsQoEFAAAAABahwAIAAAAAi1BgAQAAAIBFKLAAAAAAwCIUWAAAAABgEQosAAAAALAIBRYAAAAAWIQCCwAAAAAsQoEFAAAAABahwAIAAAAAi1BgAQAAAIBFKlxg7dmzRxs3btShQ4esiAcAAAAAbCvoAmvhwoXq3r27unbtqmuuuUarV6+WJO3fv199+vTRwoULLQsSAAAAAOwgqALrm2++0X333aeYmBglJibKNE3fc7Gxsapfv74++eQTy4IEAAAAADsIqsCaPHmyOnbsqA8++EA333xzkec7dOigDRs2BBXQli1bdNttt6lDhw7q3Lmzxo8fr7y8vDL7paena8yYMbrooovUoUMHXX311frggw+CigEAAAAAghESTKc//vhDo0aNKvH5OnXqKC0trdzjZmRkaODAgWrevLkmTpyo1NRUjRs3Tjk5ORozZkypfYcOHaqUlBSNGDFCDRs2VHJysp544gk5nU5df/315Y4FAAAAAMorqAIrIiJC2dnZJT7/559/qnbt2uUed9asWTp48KAmTZrk6+/xePTkk09q8ODBql+/frH99u7dq+XLl2vs2LHq27evJKlTp0767bff9OWXX1JgAQAAADgmgjpF8LzzztOcOXNUUFBQ5Lm9e/dq9uzZ6tKlS7nHTU5OVqdOnfyKsx49esjr9Wrp0qUl9jscR61atfzao6Ki/K4PAwAAAIDKFNQM1rBhw3TDDTeoX79+6t69uwzD0JIlS/Tjjz/qww8/lGmaSkxMLPe4KSkpuvbaa/3aXC6X6tatq5SUlBL7NWzYUF26dNGUKVPUokULNWjQQMnJyVq6dKlefPHFcsdxpJCQqr9VmNPp8Psb1R85sxfyZS/ky37Imb2QL/shZ9VLUAVWfHy83n//fT377LN69dVXZZqmpk2bJkk699xz9fjjj6tJkyblHtftdsvlchVpj46OVkZGRql9J06cqOHDh+uqq66SJDmdTj366KO64ooryh3HYQ6HoZiYmkH3t5rLFVHVIaCcyJm9kC97IV/2Q87shXzZDzmrHoIqsCTplFNO0fTp05WRkaHt27fLNE2ddNJJio2NtTK+gJimqdGjR2vbtm166aWXVLduXS1btkzPPfecoqOjfUVXeXm9ptzuqr+BstPpkMsVIbc7Wx6Pt6rDQQDImb2QL3shX/ZDzuyFfNkPOat8LldEwDOEQRdYh0VHR6tdu3YVHUZS4emAmZmZRdozMjIUHR1dYr/vvvtOSUlJ+vzzz9W6dWtJhdeJpaWlady4cUEXWJJUUFB93qQej7daxYOykTN7IV/2Qr7sh5zZC/myH3JWPVSowNq9e7fWr1+vzMzMYheT6NOnT7nGi4+PL3KtVWZmpvbu3av4+PgS+23evFlOp1OtWrXya2/btq0++ugjZWdnKyKCKVMAAAAAlSuoAis3N1cPPfSQvv76a3m9XhmG4SuwDMPwbVfeAishIUFTpkzxuxYrKSlJDodDnTt3LrFf48aN5fF4tGnTJrVp08bXvm7dOsXFxVFcAQAAADgmglpq5OWXX9aCBQs0bNgwzZw5U6Zpaty4cXr77beVkJCgNm3a6LPPPiv3uP3791fNmjWVmJioJUuW6JNPPtH48ePVv39/v3tgDRw4UJdddpnvcUJCgho1aqT7779fn332mX744Qe98MIL+vTTT3XLLbcE8xIBAAAAoNyCKrC++uor9e3bV3fffbdOPvlkSVL9+vV1wQUX6I033lCtWrX03nvvlXvc6OhozZgxQ06nU4mJiXrppZfUr18/jRo1ym87r9crj8fjexwVFaXp06fr1FNP1Ysvvqh77rlHixcv1qhRozR48OBgXiIAAAAAlFtQpwimpaX5FrYIDw+XJGVnZ/uev+KKKzR58mQ9+eST5R67ZcuWmj59eqnbzJw5s0hbs2bN9O9//7vc+wMAAAAAqwQ1g1WnTh2lp6dLkiIiIhQdHa2tW7f6ns/KylJubq41EQIAAACATQQ1g9WuXTutWLHC9/jiiy/WtGnTVLduXXm9Xk2fPl0dOnSwKkYAAAAAsIWgCqwBAwYoKSlJeXl5Cg0N1dChQ7Vy5Ur93//9nySpadOmeuSRRywNFAAAAACqu6AKrI4dO6pjx46+xw0bNtT8+fP1+++/y+FwKD4+XiEhFb6HMQAAAADYSrmvwcrOzta9996rzz//3H8gh0Nt2rRRq1atKK4AAAAAnJDKXWBFRERo2bJlysnJqYx4AAAAAMC2glpF8Oyzz9bKlSutjgUAAAAAbC2oAmvMmDH69ddf9corr2j37t1WxwQAAAAAthTUxVK9evWSx+PR1KlTNXXqVDmdToWGhvptYxiGfv31V0uCBAAAAAA7CKrAuuKKK2QYhtWxAAAAAICtBVVgjRs3zuo4AAAAAMD2groGa/Xq1VbHAQAAAAC2F1SBdcMNN+iKK67Q5MmT9eeff1odEwAAAADYUlAF1gsvvKBmzZrp9ddf1+WXX67+/fvrgw8+0IEDBywODwAAAADswzBN0wy28/79+zVv3jx98cUXWrVqlWrUqKELL7xQvXr10iWXXFJkZUG78Xi82r//YFWHoZAQh2Jiaio9/aAKCrxVHQ4CQM7shXzZC/myH3JmL+TLfshZ5YuNrSmnM7C5qaAWufhnR7G65ZZbdMstt2jHjh2aO3eu5s6dq+HDh6tWrVq64oor1Lt3b3Xs2LEiuwEAAAAAWwjqFMHihIWFKSIiQmFhYTJNU4ZhaNGiRRowYICuvfZabd682apdAQAAAEC1VKEZrKysLH311VeaO3eufv75ZxmGoYSEBCUmJuriiy+Ww+HQggUL9Pzzz2v06NH66KOPrIobAAAAAKqdoAqshQsXau7cufruu++Um5urM844Qw8//LCuvPJKxcTE+G3bvXt3ud1uPfXUU5YEDAAAAADVVVAF1r333quGDRtq0KBB6t27t+Lj4/2e37x5szZs2KCePXtKktq0aeP7NwAAAAAcr4IqsGbMmKHzzjuvxOcXLFigCRMm+Iqqdu3aqV27dsFFCAAAAAA2EdQiF6UVVwAAAABworJsFUEAAAAAONFRYAEAAACARSiwAAAAAMAiAS9y8c477wQ86IoVK4IKBgAAAADsLOAC6/nnny/XwIZhlDsYAAAAALCzgAusRYsWVWYcAAAAAGB7ARdYjRs3rsw4AAAAAMD2WOQCAAAAACxCgQUAAAAAFqHAAgAAAACLUGABAAAAgEUosAAAAADAIpVWYP3888+VNTQAAAAAVEuWF1iLFi1S//79deutt1o9NAAAAABUawHfB0uSli5dqnfffVc7duxQdHS0unfvrkGDBkmSFi5cqH//+9/asmWLateurcTExMqIFwAAAACqrYALrMWLF2vIkCEyTVMxMTHasWOHVq9erbS0NGVnZ+s///mPmjZtqjFjxqhv374KCwurzLgBAAAAoNoJuMB66623VK9ePb399ttq2bKlMjMzNXz4cE2fPl2GYeixxx5T//795XQ6KzNeAAAAAKi2Ar4Ga/369brxxhvVsmVLSVKtWrU0bNgw5efna/Dgwbr55psprgAAAACc0AIusA4ePKhGjRr5tR1+fMYZZ1gbFQAAAADYULlWETQMo9jHNWrUsC4iAAAAALCpcq0iOGfOHK1evdr3ODc3V4Zh6L333tOiRYuKbP/oo49WPEIAAAAAsIlyL9O+dOnSIu0LFy4s0mYYBgUWAAAAgBNKwAXWxo0bKzMOAAAAALC9cl2DBQAAAAAoWaUUWCkpKRo9enRlDA0AAAAA1Va5C6z9+/dr9erV2rp1a5Hn1qxZo3vvvVdXX3215s6da0mAAAAAAGAXAV+DlZeXp0ceeURffvmlTNOUJLVq1UqTJ09WeHi4xowZo2+//Vbh4eG68cYbNWjQoMqKGQAAAACqpYALrClTpmju3Lnq0KGDzjrrLP31119asGCBRo0apbS0NO3du1eJiYm65ZZbVLt27UoMGQAAAACqp4ALrC+//FKdO3fWtGnTfG1vv/22xo8fr5NPPlnz589X3bp1KyVIAAAAALCDgK/B2rVrl7p16+bXdtlll0mS7rzzToorAAAAACe8gAus/Px81apVy68tKipKklS/fn1rowIAAAAAGyrXKoKGYZSrHQAAAABOJAFfgyVJjzzyiMaMGVOkfciQIXI4/Gs1wzD066+/Viw6AAAAALCRgAusa665pjLjAAAAAADbC7jAGjt2bGXGAQAAAAC2V65rsI6FLVu26LbbblOHDh3UuXNnjR8/Xnl5eQH1TU1N1UMPPaTzzz9f7dq1U48ePfT5559XcsQAAAAAUKhc12BVtoyMDA0cOFDNmzfXxIkTlZqaqnHjxiknJ6fYa7+OtGfPHt1www1q0aKFnn76aUVFRemPP/4IuDgDAAAAgIqqVgXWrFmzdPDgQU2aNEm1a9eWJHk8Hj355JMaPHhwqcvBv/DCC2rQoIHeeustOZ1OSVKnTp2ORdgAAAAAIKmanSKYnJysTp06+YorSerRo4e8Xq+WLl1aYr+srCzNnz9fN910k6+4AgAAAIBjrVrNYKWkpOjaa6/1a3O5XKpbt65SUlJK7Ldu3Trl5+crJCREt9xyi1auXKnatWurT58+GjZsmGrUqBF0TCEhVV+DOp0Ov79R/ZEzeyFf9kK+7Iec2Qv5sh9yVr1UqwLL7XbL5XIVaY+OjlZGRkaJ/fbt2ydJevTRR3X99dfr3nvv1Zo1azRhwgQ5HA498MADQcXjcBiKiakZVN/K4HJFVHUIKCdyZi/ky17Il/2QM3shX/ZDzqqHChVYq1at0vLly5WWlqabbrpJzZs3V3Z2tlJSUtS8eXPVrHlsihOv1ytJuuCCCzRq1ChJ0vnnn6+DBw/q7bffVmJiosLDw4MY15TbfcjSWIPhdDrkckXI7c6Wx+Ot6nAQAHJmL+TLXsiX/ZAzeyFf9kPOKp/LFRHwDGFQBVZeXp5GjBihRYsWyTRNGYahiy++WM2bN5fD4dDtt9+uQYMG6Z577iln4C5lZmYWac/IyFB0dHSp/aTCoupInTp10pQpU7R9+3a1bt26XLEcVlBQfd6kHo+3WsWDspEzeyFf9kK+7Iec2Qv5sh9yVj0EdaLmq6++qu+++05PPPGEkpKSZJqm77mwsDB1795dixYtKve48fHxRa61yszM1N69exUfH19iv5NPPrnUcXNzc8sdCwAAAACUV1AF1pdffqn+/fvrhhtuKHZmqWXLlvrzzz/LPW5CQoKWLVsmt9vta0tKSpLD4VDnzp1L7Ne4cWO1atVKy5Yt82tftmyZwsPDyyzAAAAAAMAKQRVYaWlppZ5y53Q6lZOTU+5x+/fvr5o1ayoxMVFLlizRJ598ovHjx6t///5+98AaOHCgLrvsMr++w4cP1zfffKNnn31WS5cu1ZQpU/T2229r0KBBioyMLHcsAAAAAFBeQV2D1bBhw1KXTV+xYoWaNm1a7nGjo6M1Y8YMPf3000pMTFTNmjXVr18/DR8+3G87r9crj8fj13bJJZfo5Zdf1muvvaYPPvhA9erV03333ae777673HEAAAAAQDCCKrCuvvpqvfPOO7r88svVvHlzSZJhGJKk2bNna/78+UEvjd6yZUtNnz691G1mzpxZbPuVV16pK6+8Mqj9AgAAAEBFBVVgDRkyRKtXr9Ytt9yi+Ph4GYahsWPHKiMjQ7t371bXrl01aNAgi0MFAAAAgOotqAIrNDRUb731lj7//HN99dVX8nq9ysvLU+vWrTVs2DD17t3bN6MFAAAAACeKoG80bBiGevfurd69e1sZDwAAAADYVtAFliR5PB6tW7dOf/31lySpSZMmOu200+R0Oi0JDgAAAADsJOgC67///a9efvllpaWl+W40bBiGYmNjNXz4cPXr18+yIAEAAADADoIqsGbNmqUnnnhCbdu21b333utbSXDr1q368MMP9dhjjyk/P1833nijlbECAAAAQLVmmIenn8qhW7duatiwod555x3VqFHD77n8/HwNHDhQqampWrRokWWBVgWPx6v9+w9WdRgKCXEoJqam0tMPqqDAW9XhIADkzF7Il72QL/shZ/ZCvuyHnFW+2NiacjodAW0b2FZH2bdvn3r06FGkuJKkGjVq6KqrrlJaWlowQwMAAACAbQVVYLVt21Zbt24t8fmtW7eqTZs2QQcFAAAAAHYUVIH12GOPKSkpSTNmzFBOTo6vPScnR9OnT1dSUpLGjBljWZAAAAAAYAdBXYPVs2dPZWRkaO/evXI6napXr54kac+ePfJ4PKpXr55cLpf/jgxDn3/+uTVRHyNcg4VgkTN7IV/2Qr7sh5zZC/myH3JW+cpzDVZQqwjWrl1btWvXVrNmzfzaGzduHMxwAAAAAHBcCKrAmjlzptVxAAAAAIDtBXUN1p49e6yOAwAAAABsL6gC66KLLtLtt9+uOXPm6NChQ1bHBAAAAAC2FFSBdf/992vPnj0aNWqUOnfurJEjRyo5OVleLxfVAQAAADhxBXUN1pAhQzRkyBCtX79ec+fO1ZdffqkvvvhCcXFxuuqqq9SzZ0+dccYZVscKAAAAANVaUMu0H800Tf3444+aO3euvv76ax08eFAtWrRQr1691KtXLzVq1MiKWI85lmlHsMiZvZAveyFf9kPO7IV82Q85q3zlWaY9qFMEj2YYhs4++2x17dpV7du3l2ma2r59uyZNmqRLL73Ud0ohAAAAABzPgjpF8EhHzlxlZWWpVatWeuihh9SzZ085nU7997//1RtvvKH/+7//0/Tp0y0IGQAAAACqp6AKrI0bN+rzzz/Xl19+qT179qhOnTrq16+f+vTpo9atW/tte8cddygsLEzPP/+8JQEDAAAAQHUVVIHVp08fhYeHq1u3burTp486d+4sh6Pksw1PPvlkdejQIdgYAQAAAMAWgiqwnnvuOV1xxRWqWbNmQNuff/75Ov/884PZFQAAAADYRlCLXOzatUs7d+4s8fk//vhDkyZNCjooAAAAALCjoAqsyZMna9OmTSU+/8cff2jy5MlBBwUAAAAAdhRUgVXWrbMOHDigGjVqBBUQAAAAANhVwNdg/fzzz1q+fLnv8YIFC7R9+/Yi22VmZmrevHlq1aqVNRECAAAAgE0EXGAtX77cd12VYRj6+uuv9fXXXxe77cknn6zHHnvMmggBAAAAwCYCLrDuvPNO3XzzzTJNUxdccIGefPJJXX755X7bGIahiIgIhYWFWR4oAAAAAFR3ARdY4eHhCg8PlyQtWrRIsbGxioiIqLTAAAAAAMBugroPVuPGja2OAwAAAABsL6hVBAEAAAAARVFgAQAAAIBFKLAAAAAAwCIBFVjvvvuutm7dWtmxAAAAAICtBVRgjR07VmvXrvU9btu2rebOnVtpQQEAAACAHQVUYLlcLqWlpfkem6ZZaQEBAAAAgF0FtEz7eeedp4kTJ2rDhg2qVauWJGnOnDlavXp1qf0effTRikcIAAAAADZhmAFMR6Wlpem5557T8uXLfTNZZXUzDEMbNmywJsoq4vF4tX//waoOQyEhDsXE1FR6+kEVFHirOhwEgJzZC/myF/JlP+TMXsiX/ZCzyhcbW1NOZ2DrAwY0gxUXF6eXXnrJ97hNmzZ64YUX1LNnz+AiBAAAAIDjUFDLtI8dO1Znnnmm1bEAAAAAgK0FNIN1tGuuucb3782bN2vnzp2SpMaNG+vkk0+2JjIAAAAAsJmgCixJWrhwocaNG+crrg5r0qSJRo0apW7dulU4OAAAAACwk6AKrMWLF+v+++9Xo0aNNHz4cLVs2VKStGXLFs2ePVv33XefpkyZooSEBEuDBQAAAIDqLKgC67XXXlPr1q313nvvKTIy0tferVs33XLLLbrppps0efJkCiwAAAAAJ5SgFrnYtGmT+vTp41dcHRYZGalrrrlGmzZtqnBwAAAAAGAnQRVYYWFhysjIKPH5jIwMhYWFBR0UAAAAANhRUAXWeeedp3fffVcrV64s8tzq1as1c+ZMderUqcLBAQAAAICdBHUN1oMPPqj+/fvrpptuUrt27dSiRQtJ0tatW7VmzRrFxcVp5MiRlgYKAAAAANVdUDNYJ510kj7//HMNGDBAGRkZmjdvnubNm6eMjAzdeuut+uyzz9SkSROrYwUAAACAai3o+2DFxcXp4Ycf1sMPP2xlPAAAAABgW0HNYAEAAAAAiqLAAgAAAACLUGABAAAAgEUosAAAAADAIhRYAAAAAGCRoAqs1atXWx2Hz5YtW3TbbbepQ4cO6ty5s8aPH6+8vLxyjTF9+nS1bt1agwcPrqQoAQAAAKCooJZpv+GGG9SsWTP16tVLvXr10kknnWRJMBkZGRo4cKCaN2+uiRMnKjU1VePGjVNOTo7GjBkT0Bh79+7V5MmTFRcXZ0lMAAAAABCooAqsF154QXPnztXrr7+uSZMmqX379urdu7d69Oih2rVrBx3MrFmzdPDgQU2aNMk3jsfj0ZNPPqnBgwerfv36AcV2ySWXaNeuXUHHAQAAAADBCOoUwZ49e2rq1KlKTk7WI488Ikl68skndeGFF+pf//qXkpKSyn1anyQlJyerU6dOfkVajx495PV6tXTp0jL7//LLL1q4cKEeeOCBcu8bAAAAACqqQotcxMbG6pZbbtGsWbP09ddfa8iQIUpJSdHw4cPVpUsXPfbYY/rll18CHi8lJUXx8fF+bS6XS3Xr1lVKSkqpfT0ej55++mkNGTJE9erVC+r1AAAAAEBFBHWKYHHCwsIUERGhsLAwmaYpwzC0aNEiffzxxzr11FP1/PPP6+STTy51DLfbLZfLVaQ9OjpaGRkZpfZ9//33lZ2drUGDBlXkZRQRElL1Cy06nQ6/v1H9kTN7IV/2Qr7sh5zZC/myH3JWvVSowMrKytJXX32luXPn6ueff5ZhGEpISFBiYqIuvvhiORwOLViwQM8//7xGjx6tjz76yKq4/aSlpWnChAl6/vnnFRoaatm4DoehmJialo1XUS5XRFWHgHIiZ/ZCvuyFfNkPObMX8mU/5Kx6CKrAWrhwoebOnavvvvtOubm5OuOMM/Twww/ryiuvVExMjN+23bt3l9vt1lNPPVXmuC6XS5mZmUXaMzIyFB0dXWK/V199Va1bt1bHjh3ldrslSQUFBSooKJDb7VZkZKRCQsr/Ur1eU273oXL3s5rT6ZDLFSG3O1sej7eqw0EAyJm9kC97IV/2Q87shXzZDzmrfC5XRMAzhEEVWPfee68aNmyoQYMGqXfv3kWumzpamzZt1LNnzzLHjY+PL3KtVWZmpvbu3VvqPrZu3aqff/5Z55xzTpHnzjnnHL355ptKSEgoc//FKSioPm9Sj8dbreJB2ciZvZAveyFf9kPO7IV82Q85qx6CKrBmzJih8847L+Dt27Vrp3bt2pW5XUJCgqZMmeJ3LVZSUpIcDoc6d+5cYr+HH37YN3N12HPPPafw8HCNGDFCrVu3DjhWAAAAAAhWUAXWnDlzFB4ervbt2xf7/Jo1a/TBBx9o7Nix5Rq3f//+mjlzphITEzV48GClpqZq/Pjx6t+/v989sAYOHKhdu3ZpwYIFkqS2bdsWGcvlcikyMrJchSAAAAAAVERQS418+umn2rFjR4nP//XXX5ozZ065x42OjtaMGTPkdDqVmJiol156Sf369dOoUaP8tvN6vfJ4POUeHwAAAAAqk2XLtB9pz549Cg8PD6pvy5YtNX369FK3mTlzZpnjBLINAAAAAFgp4AJr4cKFWrRoke/x7NmztWzZsiLbZWZmatmyZTr99NOtiRAAAAAAbCLgAmvLli1KSkqSJBmGodWrV2vt2rV+2xiGocjISJ1zzjlFTusDAAAAgONdwAXW4MGDNXjwYEmFy64/++yzAS29DgAAAAAniqCuwdq4caPVcQAAAACA7QW1iiAAAAAAoKiAZrDatGkjh8OhVatWKTQ0VG3atJFhGKX2MQxD69evtyRIAAAAALCDgAqsxMREGYahkJAQv8cAAAAAgH8EVGDdd999pT4GAAAAAHANFgAAAABYJqAZrDlz5gQ1eJ8+fYLqBwAAAAB2FFCBFcxNgw3DoMACAAAAcEIJqMBatGhRZccBAAAAALYXUIHVuHHjyo4DAAAAAGyPRS4AAAAAwCIBzWANGDBADodD06ZNU0hIiG699dYy+xiGoRkzZlQ4QAAAAACwi4AKLEnyer2+f5umWeb2gWwDAAAAAMeTgAqsmTNnlvoYAAAAAMA1WAAAAABgmYBPESzOt99+q8WLF2vnzp2SClcb7Nq1qy6++GJLggMAAAAAOwmqwHK73UpMTNQvv/wip9OpunXrSpJ++OEHffjhh+rYsaMmT54sl8tlabAAAAAAUJ0FdYrgs88+q19//VUjR47UTz/9pG+//VbffvutfvrpJz3wwAP69ddf9eyzz1odKwAAAABUa0HNYC1cuFA33XST7rjjDr/2yMhI3Xnnnfr77781Z84cK+IDAAAAANsIagYrJCRELVq0KPH5+Ph4hYRU6PIuAAAAALCdoAqsK664QklJSfJ4PEWeKygo0Pz589W9e/cKBwcAAAAAdhLQNNO6dev8Hvfq1UtPPfWU+vfvr+uvv17NmjWTJG3fvl0ffvih8vPz1bNnT+ujBQAAAIBqLKAC69prr5VhGH5tpmlKkn777Tffc4fbJGnAgAHasGGDVXECAAAAQLUXUIE1duzYyo4DAAAAAGwvoALrmmuuqew4AAAAAMD2glrkAgAAAABQVNBrqefm5uqrr77S+vXrlZmZKa/X6/e8YRh67rnnKhwgAAAAANhFUAXWzp07deutt2rnzp1yuVzKzMxUdHS0MjMz5fF4FBMTo8jISKtjBQAAAIBqLahTBMePH6+srCzNnj1bSUlJMk1Tr7zyilauXKmRI0cqPDxc06ZNszpWAAAAAKjWgiqwfvzxR914441q166dHI5/hggNDdWdd96p888/n9MDAQAAAJxwgiqwcnJy1LhxY0lSVFSUDMNQZmam7/kzzzxTv/76qzURAgAAAIBNBFVgNWzYUKmpqZKkkJAQ1a9fX6tWrfI9v3nzZoWFhVkSIAAAAADYRVCLXJx//vlatGiR7r33XkmF98maOnWq3G63vF6vPv/8c/Xu3dvSQAEAAACguguqwLr77rv122+/KS8vT6GhoRoyZIj27Nmjr776Sg6HQ1dffbVGjx5tdawAAAAAUK0ZpmmaVR1EdeXxeLV//8GqDkMhIQ7FxNRUevpBFRR4y+6AKkfO7IV82Qv5sh9yZi/ky37IWeWLja0ppzOwq6uCvtHwYaZpav/+/f/bcawMw6jokAAAAABgS0EXWJs3b9aECRP0/fffKycnR5IUHh6uCy+8UPfee69atWplWZAAAAAAYAdBFVi//PKL7rrrLnm9XnXr1k3NmzeXJG3dulXffPONkpOT9dZbb6ljx45WxgoAAAAA1VpQBdZzzz2n2NhY/ec//1HDhg39nvv777918803a+zYsfrkk08sCRIAAAAA7CCo+2Bt3rxZN910U5HiSiq8R9aNN96ozZs3Vzg4AAAAALCToAqsRo0aKS8vr8Tn8/Pz1aBBg6CDAgAAAAA7CqrASkxM1MyZM7Vhw4Yiz61fv17/+c9/dN9991U4OAAAAACwk4CuwXrmmWeKtMXFxalv374688wz1axZM0nStm3btGrVKp1yyilatWqVrr76amujBQAAAIBqLKAbDbdp06b8AxtGsTNcdsKNhhEscmYv5MteyJf9kDN7IV/2Q84qn+U3Gt64cWOFAgIAAACAE0FQ12ABAAAAAIoK6j5Yh/35559KTk7Wrl27JBWuLpiQkKCTTjrJkuAAAAAAwE6CLrDGjRund999V16v/3meDodDAwcO1EMPPVTh4AAAAADAToIqsN5++21Nnz5dV1xxhW6//Xa1bNlSkrRlyxZNnz5d06dPV/369TVo0CArYwUAAACAai2oAmv27Nm65JJL9Oqrr/q1t2/fXq+88opyc3M1a9YsCiwAAAAAJ5SgFrnYuXOnunTpUuLzXbp00c6dO4MOCgAAAADsKKgCKy4urtSl2zdu3KjY2NiggwIAAAAAOwqqwOrevbs+/vhjTZ06VYcOHfK1Hzp0SFOnTtXHH3+sK6+80rIgAQAAAMAOgroGa+jQodqwYYNefvllTZgwQfXq1ZMk7dmzRwUFBTrvvPN0//33WxooAAAAAFR3QRVYERERmjFjhhYuXOh3H6wuXbqoa9euuuSSS2QYhqWBAgAAAEB1V+4CKzs7Ww8++KAuv/xy9erVS5deeqmlAW3ZskXPPPOMVq5cqZo1a6p3794aNmyYQkNDS+yzZ88eTZ8+XUuXLtWOHTtUq1YtnXPOORoxYoQaN25saXwAAAAAUJJyX4MVERGhZcuWKScnx/JgMjIyNHDgQOXn52vixIkaPny4Zs+erXHjxpXab926dVqwYIF69Oih1157TaNGjdLvv/+u6667Tvv377c8TgAAAAAoTlCnCJ599tlauXKlrr/+ekuDmTVrlg4ePKhJkyapdu3akiSPx6Mnn3xSgwcPVv369UuMZ/78+QoJ+eflnHXWWbrooos0Z84c3X777ZbGCQAAAADFCWoVwTFjxujXX3/VK6+8ot27d1sWTHJysjp16uQrriSpR48e8nq9Wrp0aYn9XC6XX3ElSQ0aNFBsbKz27NljWXwAAAAAUJqgZrB69eolj8ejqVOnaurUqXI6nUWukTIMQ7/++mu5xk1JSdG1117r1+ZyuVS3bl2lpKSUa6ytW7cqLS1NLVu2LFe/o4WEBFWDWsrpdPj9jeqPnNkL+bIX8mU/5MxeyJf9kLPqJagC64orrqiUVQLdbrdcLleR9ujoaGVkZAQ8jmmaeuaZZ1SvXj1dddVVQcfjcBiKiakZdH+ruVwRVR0Cyomc2Qv5shfyZT/kzF7Il/2Qs+ohqAKrrEUnqtrEiRP1448/6q233lJkZGTQ43i9ptzuQ2VvWMmcTodcrgi53dnyeLxVHQ4CQM7shXzZC/myH3JmL+TLfshZ5XO5IgKeISxXgZWbm6tFixbpr7/+UkxMjLp27eq7ybAVXC6XMjMzi7RnZGQoOjo6oDFmz56tyZMn69lnn1WnTp0qHFNBQfV5k3o83moVD8pGzuyFfNkL+bIfcmYv5Mt+yFn1EHCBlZaWpv79++uvv/6SaZqSCpdsnzx5si644AJLgomPjy9yrVVmZqb27t2r+Pj4MvsvWLBATzzxhO6//37169fPkpgAAAAAIFABXwn32muvaefOnRo0aJDeeOMNPfzwwwoLC9OYMWMsCyYhIUHLli2T2+32tSUlJcnhcKhz586l9l2+fLlGjBih6667TomJiZbFBAAAAACBCngGa8mSJerdu7ceeughX1udOnX0wAMPKCUlJaAZprL0799fM2fOVGJiogYPHqzU1FSNHz9e/fv397sH1sCBA7Vr1y4tWLBAkrRlyxYlJiaqefPm6t27t1atWuXbNjY2Vk2bNq1wbAAAAABQloALrL///ltnn322X9vZZ58t0zSVlpZmSYEVHR2tGTNm6Omnn1ZiYqJq1qypfv36afjw4X7beb1eeTwe3+PVq1crMzNTmZmZuvHGG/22veaaa6r9ohwAAAAAjg8BF1h5eXkKCwvzazt876uCggLLAmrZsqWmT59e6jYzZ870e9y3b1/17dvXshgAAAAAIBjlWkVw586dWrdune/x4RX/tm/fXuz9q0477bQKhgcAAAAA9mGYh5cELEObNm2KvbmwaZpF2g+3bdiwwZooq4jH49X+/QerOgyFhDgUE1NT6ekHWXrTJsiZvZAveyFf9kPO7IV82Q85q3yxsTWtvw/W2LFjgw4IAAAAAE4EARdY11xzTWXGAQAAAAC2F/B9sAAAAAAApaPAAgAAAACLUGABAAAAgEUosAAAAADAIhRYAAAAAGARCiwAAAAAsAgFFgAAAABYhAILAAAAACxCgQUAAAAAFqHAAgAAAACLUGABAAAAgEUosAAAAADAIhRYAAAAAGARCiwAAAAAsAgFFgAAAABYhAILAAAAACxCgQUAAAAAFqHAAgAAAACLUGABAAAAgEUosAAAAADAIhRYAAAAAGARCiwAAAAAsAgFFgAAAABYhAILAAAAACxCgQUAAAAAFqHAAgAAAACLUGABAAAAgEUosAAAAADAIhRYAAAAAGARCiwAAAAAsAgFFgAAAABYhAILAAAAACxCgQUAAAAAFqHAAgAAAACLUGABAAAAgEUosAAAAADAIhRYAAAAAGARCiwAAAAAsAgFFgAAAABYhAILAAAAACxCgQUAAAAAFqHAAgAAAACLUGABAAAAgEUosAAAAADAIhRYAAAAAGARCiwAAAAAsAgFFgAAAABYhAILAAAAACxCgQUAAAAAFqHAAgAAAACLUGABAAAAgEUosAAAAADAIhRYAAAAAGCRkKoO4GhbtmzRM888o5UrV6pmzZrq3bu3hg0bptDQ0FL7maapN998U++//77279+vtm3bavTo0erQocOxCdxC3+9M0/xd+6s6DAAAAJygQiSFOA3JlDwyZZiSR5JpFj7/v79kSjKOeHx49sZQ4fbFcUgyjMK/w50OhTsdqlXDWdhYDMMwFBtaQ06HoaZR4To9Jkohjuo7T1StCqyMjAwNHDhQzZs318SJE5Wamqpx48YpJydHY8aMKbXvm2++qQkTJmjkyJFq3bq13nvvPd1+++367LPPdNJJJx2jV2ANiisAAABUpQJJBR6zzO2kf4orSfIGsL33f508kvILvMos8GpvbkGpfbYoW5L0454MuVqHKN4VGVBsVaFalX6zZs3SwYMHNWnSJF144YXq16+fHnzwQc2aNUupqakl9svNzdUbb7yh22+/XYMGDVKnTp308ssvq3bt2po2bdoxfAXWGNgyrqpDAAAAAKqdmFCnmtWKqOowSlWtCqzk5GR16tRJtWvX9rX16NFDXq9XS5cuLbHfihUrlJWVpR49evjaQkNDddlllyk5ObkyQ64UrWNjqzoEAAAAoNq5tHEdOUs4lbC6qFanCKakpOjaa6/1a3O5XKpbt65SUlJK7SdJ8fHxfu0tW7bUjBkzlJOTo/Dw8KBiCgmpmhr09tZ19famvVWybwAAAOBYOvI6rpLEhIborPrRFFjl4Xa75XK5irRHR0crIyOj1H6hoaEKCwvza3e5XDJNUxkZGUEVWA6HoZiYmuXuZ4VOMTUpsAAAAHBCuLBpnJJ3pJW6Td+2jVUnNuoYRRS8alVgVTderym3+1CV7Z9ZLAAAABzvYkJDdHnDWK1NdWt/bn6J25wcEab09IPHOLpCLleEnM7AzmyrVgWWy+VSZmZmkfaMjAxFR0eX2i8vL0+5ubl+s1hut1uGYZTatywFBYGshVI5TnbVlkSBBQAAgOPXpY3j5PBK3RrF6qOtxS9sd2njOJkeUwVlnkhY9arVIhfx8fFFrrXKzMzU3r17i1xfdXQ/Sdq6datfe0pKiho1ahT09VfVASsKAgAA4FhzHPV3TGjp8zLBFhUxoU61i6slSWoXV8u3H0cJ29hBtSqwEhIStGzZMrndbl9bUlKSHA6HOnfuXGK/s846S1FRUZo/f76vLT8/X19//bUSEhIqNebKxoqCAAAAVc9Z1QEcJT7qnwmE4mI73BbuLLogRN2wGmWO37Fu4boIHesU/n1p4zidW+eftRKOHqPjkc+FFz5XK8RZJNajHbkqoNMwdGnjuCLj2WHlwCMZpmlWm3m2jIwMXXXVVWrRooUGDx7su9Fwz549/W40PHDgQO3atUsLFizwtU2dOlUTJ07UyJEj1apVK33wwQdasmRJhW407PF4tX9/1ZzneSS3+4DGHXUtVh9Jc8o5zlWSvixnn3Ml/VTOPs0lbSvH9mGScsu5j7ri5EkAgBQh/e/2o4FrIGl3Ofs0lPR3OftcKmlhOfuUVw9J88vcyl9io0hN3lW+a8yH1A/TlNTC/63DJeWUsm2HcGmX6dSgprF6bcteHfL633z28P/7sZIOqHD1OIekfEn3Nq6pyTsPqo6kUEP625TaR0i/ZRfmOv9/+w6T5JJUEOLQ3fF19M72NIV7PdqZLzUJNZTjNXWoQAoxpPAQ6UB+Yd96NQw5HE4NOrm+Pv8rTdvdOYoypFSvFOeU4sJClJpbIK9Hcjgll9OhfBlq4YrUxQ1r693f/9LuXFNRkvIMyWNKLV1hinI6tP1gruLCa+hgvlemaSo6Ikzd69fSpD9S5fSauvfUxlqyL0tRDun3rFzVDwvRKa4Ifb8nQ5FOp06KCNWazGzd2ryuPv9zn7a4c9UiKlSxEeE6xRWulekHdVJEmBpEhcthONQoMlQr9hVeDtMhNlLvbN6t2jVCdFZMTW05mKeEurU0e0ea+jevq9Rcj7ymV3uy82TIUIe4KK3an6U6oSHamHFQhqRW0ZHal1ugehGhcjgcahwZpl2H8tQoMlS7DuWpcc0wmaapX/dm/G+fhWPUDa8hh+FQ45ph2nkoVzKlhhE19O3uA7qofrTWHDikDrFR2nkoV7sP5sgwDNWLCJVhGDJkqElUuIwjiifTNLXzYK4aRYb6xjt6m6oQG1sz4GuwqlWBJUlbtmzR008/rZUrV6pmzZrq3bu3hg8frtDQUN82AwYM0M6dO/XNN9/42kzT1NSpU/X+++9r//79atu2rUaPHq0zzzwz6FiqS4EVEuJQTExNpacfrNJrwhA4cmYv5MteyJf9kDN7IV/2Q84qn60LrOqEAgvBImf2Qr7shXzZDzmzF/JlP+Ss8pWnwKpW12ABAAAAgJ1RYAEAAACARSiwAAAAAMAiFFgAAAAAYBEKLAAAAACwCAUWAAAAAFiEAgsAAAAALEKBBQAAAAAW4UbDpTBNU15v9Tg8TqdDHg83jrMTcmYv5MteyJf9kDN7IV/2Q84ql8NhyDCMgLalwAIAAAAAi3CKIAAAAABYhAILAAAAACxCgQUAAAAAFqHAAgAAAACLUGABAAAAgEUosAAAAADAIhRYAAAAAGARCiwAAAAAsAgFFgAAAABYhAILAAAAACxCgQUAAAAAFqHAAgAAAACLUGABAAAAgEVCqjqAE92WLVv0zDPPaOXKlapZs6Z69+6tYcOGKTQ0tMQ+y5cv16233lrscy1atFBSUlJlhQsFlzNJSk9P1yuvvKLk5GQdOHBATZo00c0336wbb7zxGEV+Ygo2X5mZmRo/fry+/vpr5eTkqF27dnr44YfVtm3bYxT5iWn79u2aNm2aVq9erT/++EPx8fH64osvyuxnmqbefPNNvf/++9q/f7/atm2r0aNHq0OHDpUf9Aks2Hy99957Sk5O1urVq5Wenq5XX31V3bt3PwYRI5ic7dmzR9OnT9fSpUu1Y8cO1apVS+ecc45GjBihxo0bH6PIT0zBfsZGjhypNWvWaM+ePapRo4ZatWqle+65R126dDkGUYMCqwplZGRo4MCBat68uSZOnKjU1FSNGzdOOTk5GjNmTIn9TjvtNH344Yd+bVlZWbrrrruUkJBQ2WGf0ILNmSQNHTpUKSkpGjFihBo2bKjk5GQ98cQTcjqduv7664/RKzixVCRfI0aM0Nq1a/Xggw+qTp06mj59ugYOHKjPPvtMDRs2PEav4MTzxx9/aPHixWrfvr28Xq9M0wyo35tvvqkJEyZo5MiRat26td577z3dfvvt+uyzz3TSSSdVctQnrmDz9dlnn0mSunbtqjlz5lRihDhaMDlbt26dFixYoGuvvVbt27dXenq6Xn/9dV133XX64osvFBsbewwiPzEF+xnLz8/XoEGD1Lx5c+Xm5urjjz/W3XffrXfffVcdO3as5KghE1VmypQpZocOHcz09HRf26xZs8y2bduau3fvLtdYn3zyidmqVStz9erVFkeJIwWbsz179pitWrUyP/nkE7/2m2++2bz11lsrK9wTXrD5WrlypdmqVStz0aJFvrZDhw6ZnTp1Mp9++unKDPmE5/F4fP9+6KGHzKuuuqrMPjk5OeZZZ51lvvTSS7623Nxc8+KLLzYff/zxyggT/xNMvo7s9+eff5qtWrUy58+fXynxoahgcpaRkWHm5+f7tf39999m69atzWnTplkeI/4R7GfsaAUFBWbXrl3NRx991KrQUAquwapCycnJ6tSpk2rXru1r69Gjh7xer5YuXVqusb744gs1b95c7dq1szhKHCnYnBUUFEiSatWq5dceFRUV8G+jUH7B5mv9+vUyDEOdO3f2tUVERKhjx4769ttvKzPkE57DUf7/llasWKGsrCz16NHD1xYaGqrLLrtMycnJVoaHowSTr4r0Q8UFc+xdLpdCQvxPemrQoIFiY2O1Z88eq0JDMaz6rDidTtWqVUv5+fmWjIfS8Q1XhVJSUhQfH+/X5nK5VLduXaWkpAQ8zr59+/Tjjz/q6quvtjpEHCXYnDVs2FBdunTRlClTtHnzZmVlZWnevHlaunSpbr755soO+4QVbL7y8vLkcDjkdDr92mvUqKGdO3cqJyenUuJFcA7n8uhct2zZUrt27SJfQCXYunWr0tLS1LJly6oOBSUwTVMFBQVKT0/XtGnTtH37dt1www1VHdYJgWuwqpDb7ZbL5SrSHh0drYyMjIDHmTdvnjweDwXWMVCRnE2cOFHDhw/XVVddJanwt0mPPvqorrjiikqJFcHnq1mzZvJ4PFq/fr1vVtjr9Wrt2rUyTVNut1vh4eGVFjfKx+12KzQ0VGFhYX7tLpdLpmkqIyODfAEWMk1TzzzzjOrVq+f7Pw3Vz8cff6xHH31UkhQZGalXXnlFZ555ZhVHdWKgwDoOzJ07V6eddppatGhR1aGgBKZpavTo0dq2bZteeukl1a1bV8uWLdNzzz2n6Oho/oOqZjp37qymTZvq8ccf1/PPP6+4uDhNnTpVf/75pyTJMIwqjhAAqs7EiRP1448/6q233lJkZGRVh4MSdOvWTW3atFF6erqSkpI0bNgwTZo0SV27dq3q0I57FFhVyOVyKTMzs0h7RkaGoqOjAxpjx44dWrNmjUaPHm11eChGsDn77rvvlJSUpM8//1ytW7eWJJ133nlKS0vTuHHjKLAqSbD5Cg0N1SuvvKIHHnhAPXv2lCS1atVKAwcO1MyZM/2u6ULVc7lcysvLU25urt8sltvtlmEYAX+fAijb7NmzNXnyZD377LPq1KlTVYeDUsTGxvpWeExISFBGRoZeeOEFCqxjgGuwqlB8fHyR60AyMzO1d+/eItcSlGTu3LlyOBy68sorKyNEHCXYnG3evFlOp1OtWrXya2/btq327Nmj7OzsSon3RFeRz9jpp5+upKQkffXVV77iOCcnR6eddppq1KhRmWGjnA7ncuvWrX7tKSkpatSoEacHAhZZsGCBnnjiCd1///3q169fVYeDcjrttNO0ffv2qg7jhECBVYUSEhK0bNkyud1uX1tSUpIcDoff6mWl+fLLL3XuueeqXr16lRUmjhBszho3biyPx6NNmzb5ta9bt05xcXGKiIiotJhPZBX9jBmGoebNm6tFixZKT0/XvHnzdN1111VmyAjCWWedpaioKM2fP9/Xlp+fr6+//pp7AwIWWb58uUaMGKHrrrtOiYmJVR0OgvDrr79yX8BjhFMEq1D//v01c+ZMJSYmavDgwUpNTdX48ePVv39/1a9f37fdwIEDtWvXLi1YsMCv//r167Vlyxbddtttxzr0E1awOUtISFCjRo10//33KzExUfXq1dOSJUv06aef6r777quql3Pcq8hn7PXXX1ezZs0UFxenrVu36o033tDpp5+uvn37VsVLOWFkZ2dr8eLFkqSdO3cqKytLSUlJkqRzzz1XsbGxRfIVFhamwYMHa+LEiYqNjVWrVq30wQcf6MCBA7rjjjuq7LWcCILJlyT99ttv2rlzp/bv3y9JWr16taTCU5rOPffcY/wqTizB5GzLli1KTExU8+bN1bt3b61atco3XmxsrJo2bXrMX8eJIph8fffdd5ozZ44uuugiNWzYUBkZGfriiy+0ZMkSvfzyy1X2Wk4kFFhVKDo6WjNmzNDTTz+txMRE1axZU/369dPw4cP9tvN6vfJ4PEX6z507V6GhoaxCdwwFm7OoqChNnz5dr7zyil588UVlZmaqSZMmGjVqlG655ZZj/TJOGBX5jLndbj3//PNKS0tTvXr11KtXL/3rX//i/j2VLC0tTUOHDvVrO/z43Xff1XnnnVdsvu666y6Zpqm3335b+/fvV9u2bTVt2jR+W1vJgs3Xe++9p08//dT3+O2335ZU+APjzJkzKznqE1swOVu9erUyMzOVmZmpG2+80a/vNddco3HjxlV+4CeoYPJ10kknKS8vTy+99JLS09MVExOj1q1ba+bMmfwC4xgxTO5yCgAAAACW4FexAAAAAGARCiwAAAAAsAgFFgAAAABYhAILAAAAACxCgQUAAAAAFqHAAgAAAACLUGABAAAAgEUosAAAAADAIhRYAAAAAGARCiwAAAAAsAgFFgDguHT++efrqaeeKtLet29f3X333ZW6708//VQ9e/ZUu3bt1LdvX61cuVJDhw5Vr169KnW/AICqF1LVAQAAYLXU1FSlp6erTZs2fu0ej0ebN29W586dK23fb7zxhl5++WVddtllGjBggDZs2KB77rlHtWrVUvv27SttvwCA6oECCwBw3Nm0aZMkFSmwUlJSlJubq1atWlXKftetW6dXX31VgwcP1ogRI3zteXl5+vjjj3XddddVyn4BANUHpwgCAI47mzZtksPh0CmnnOLXvnHjRkkqtsDyer3Kzc0N6I9pmsXu94033lDdunV13333+bV37NixxP0CAI4vzGABAI47GzduVNOmTRUREeHXvmHDBtWoUUPx8fFF+vz888+69dZbAxp/3rx5atmypV9bXl6ekpOTdeONN6pGjRp+zx06dEgSBRYAnAgosAAAx53ff/+9yOmBkvTbb7+pRYsWRQogSYqPj9fYsWMDGr9evXpF2nbs2KHs7Gy1bt26yHN//vmnoqKi1KhRo4DGBwDYFwUWAOC44vV6tXXrVl122WV+7WlpaVqxYoW6d+9ebL+6deuqb9++Qe83JydHkuRw+J99n5eXpy+++KLI6YoAgOMT12ABAI4rHo9HBQUFys7O9rUVFBRozJgxKigoKHaGyQqHZ6d+/fVXv/apU6dq7969nB4IACcIZrAAAMeVGjVqqHXr1po1a5bCw8MVHh6upKQkhYWFSaq866BiY2N14YUXavbs2QoJCVHr1q21bNkyrVu3rlL3CwCoXpjBAgAcd8aOHasWLVpo2rRpmjt3rm688Ub169dPUuUWOs8//7wuueQSzZkzRxMmTFDdunX10EMPSZLOOOOMStsvAKD6MMyS1poFAAAV9tRTT2nevHlasmSJQkI4cQQAjnfMYAEAYIG8vLwi98f6+eef9eGHH6p///4UVwBwguDbHgAAC3z//feaPHmyunfvrlq1amn9+vX673//q7Zt22rIkCFVHR4A4BihwAIAwALR0dEKDQ3V1KlTlZOTo8aNG+vOO+/U4MGDFR4eXtXhAQCOEa7BAgAAAACLcA0WAAAAAFiEAgsAAAAALEKBBQAAAAAWocACAAAAAItQYAEAAACARSiwAAAAAMAiFFgAAAAAYBEKLAAAAACwCAUWAAAAAFiEAgsAAAAALPL/FPTYHpNhEisAAAAASUVORK5CYII=",
|
|
"text/plain": [
|
|
"<Figure size 1000x500 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"def plot_scatter():\n",
|
|
" plt.figure(figsize=(10,5))\n",
|
|
" plt.scatter(X_train_1d[y_train==1], y_train[y_train==1], c='m', marker='^', label='RR Lyrae')\n",
|
|
" plt.scatter(X_train_1d[y_train==0], y_train[y_train==0], c='c', marker='v', label='Background')\n",
|
|
" plt.xlabel('$' + col + '$')\n",
|
|
" plt.ylabel('Probability of type RR Lyrae')\n",
|
|
"plot_scatter() \n",
|
|
"plt.legend()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "e9cb694a42ffb3138b18c2e405645ce1",
|
|
"grade": false,
|
|
"grade_id": "cell-bd01fa3c7086288f",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"*Given the plot shown above, comment on how well you expect logistic regression to perform.*"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "cf842b131e1b494992c17edc41569b9d",
|
|
"grade": true,
|
|
"grade_id": "cell-1cad643fb7816037",
|
|
"locked": false,
|
|
"points": 1,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"source": [
|
|
"I think logistic regression would perform badly because the background class extends beyond both the minimum and maximum instances of the RR Lyrae class. There is nowhere to place a boundary in one dimension which separates the RR Lyrae group from the Background group."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "639ffbefef37614d5671b1df92842700",
|
|
"grade": false,
|
|
"grade_id": "cell-00dca71454bb5330",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"*Where would you guess the decision bounary should lie? Set the variable `decision_boundary_guess` to your guess.*"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 55,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "1f8f91ff116877b36b5f768c4e7bbf53",
|
|
"grade": false,
|
|
"grade_id": "cell-5eef717d4fab1828",
|
|
"locked": false,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"# YOUR CODE HERE\n",
|
|
"decision_boundary_guess = .88\n",
|
|
"#raise NotImplementedError()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 56,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "59d1034042c8531f42243eb3de1e6de7",
|
|
"grade": true,
|
|
"grade_id": "cell-00ef975a7880050f",
|
|
"locked": true,
|
|
"points": 1,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"decision_boundary_guess defined.\n",
|
|
"decision_boundary_guess = 0.8800\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"check_var_defined('decision_boundary_guess')\n",
|
|
"print(\"decision_boundary_guess = {0:.4f}\".format(decision_boundary_guess))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "f6e3c3c0ceece7871bf22c9255a51295",
|
|
"grade": false,
|
|
"grade_id": "cell-4c704d78b7b22e68",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"Use Scikit-Learn to perform logistic regression to classify the two classes for this 1D problem."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "1acac14798c5dc7542fc6ea9406938bc",
|
|
"grade": false,
|
|
"grade_id": "cell-618989081fddad31",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"First, set the inverse regularation strength `C` such that regularisation is effecitvely not performed."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 57,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
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"cell_type": "code",
|
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"checksum": "58f98ba91242ad172c6817655bedd385",
|
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"grade": false,
|
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"grade_id": "cell-d7b94ebcadcc6111",
|
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"locked": true,
|
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"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"C = 1e10"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
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"editable": false,
|
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"nbgrader": {
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"cell_type": "markdown",
|
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"checksum": "c9845c6ff70b8fbeaf82ce21e36fc34b",
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"grade": false,
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"grade_id": "cell-70bcad6835ff868d",
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"locked": true,
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"schema_version": 3,
|
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"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"*Second, fit the model using Scikit-Learn. Use the variable `clf` for your classification model.*"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 58,
|
|
"metadata": {
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"deletable": false,
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"nbgrader": {
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"cell_type": "code",
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"checksum": "c1620a833ae3b05de4b1a57a1ce9ab03",
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"grade": false,
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"grade_id": "cell-f1790c24720c07d8",
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|
"locked": false,
|
|
"schema_version": 3,
|
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"solution": true
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/html": [
|
|
"<style>#sk-container-id-3 {\n",
|
|
" /* Definition of color scheme common for light and dark mode */\n",
|
|
" --sklearn-color-text: #000;\n",
|
|
" --sklearn-color-text-muted: #666;\n",
|
|
" --sklearn-color-line: gray;\n",
|
|
" /* Definition of color scheme for unfitted estimators */\n",
|
|
" --sklearn-color-unfitted-level-0: #fff5e6;\n",
|
|
" --sklearn-color-unfitted-level-1: #f6e4d2;\n",
|
|
" --sklearn-color-unfitted-level-2: #ffe0b3;\n",
|
|
" --sklearn-color-unfitted-level-3: chocolate;\n",
|
|
" /* Definition of color scheme for fitted estimators */\n",
|
|
" --sklearn-color-fitted-level-0: #f0f8ff;\n",
|
|
" --sklearn-color-fitted-level-1: #d4ebff;\n",
|
|
" --sklearn-color-fitted-level-2: #b3dbfd;\n",
|
|
" --sklearn-color-fitted-level-3: cornflowerblue;\n",
|
|
"\n",
|
|
" /* Specific color for light theme */\n",
|
|
" --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
|
|
" --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
|
|
" --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
|
|
" --sklearn-color-icon: #696969;\n",
|
|
"\n",
|
|
" @media (prefers-color-scheme: dark) {\n",
|
|
" /* Redefinition of color scheme for dark theme */\n",
|
|
" --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
|
|
" --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
|
|
" --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
|
|
" --sklearn-color-icon: #878787;\n",
|
|
" }\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 pre {\n",
|
|
" padding: 0;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 input.sk-hidden--visually {\n",
|
|
" border: 0;\n",
|
|
" clip: rect(1px 1px 1px 1px);\n",
|
|
" clip: rect(1px, 1px, 1px, 1px);\n",
|
|
" height: 1px;\n",
|
|
" margin: -1px;\n",
|
|
" overflow: hidden;\n",
|
|
" padding: 0;\n",
|
|
" position: absolute;\n",
|
|
" width: 1px;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-dashed-wrapped {\n",
|
|
" border: 1px dashed var(--sklearn-color-line);\n",
|
|
" margin: 0 0.4em 0.5em 0.4em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" padding-bottom: 0.4em;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-container {\n",
|
|
" /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
|
|
" but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
|
|
" so we also need the `!important` here to be able to override the\n",
|
|
" default hidden behavior on the sphinx rendered scikit-learn.org.\n",
|
|
" See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
|
|
" display: inline-block !important;\n",
|
|
" position: relative;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-text-repr-fallback {\n",
|
|
" display: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"div.sk-parallel-item,\n",
|
|
"div.sk-serial,\n",
|
|
"div.sk-item {\n",
|
|
" /* draw centered vertical line to link estimators */\n",
|
|
" background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
|
|
" background-size: 2px 100%;\n",
|
|
" background-repeat: no-repeat;\n",
|
|
" background-position: center center;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Parallel-specific style estimator block */\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-parallel-item::after {\n",
|
|
" content: \"\";\n",
|
|
" width: 100%;\n",
|
|
" border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
|
|
" flex-grow: 1;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-parallel {\n",
|
|
" display: flex;\n",
|
|
" align-items: stretch;\n",
|
|
" justify-content: center;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" position: relative;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-parallel-item {\n",
|
|
" display: flex;\n",
|
|
" flex-direction: column;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-parallel-item:first-child::after {\n",
|
|
" align-self: flex-end;\n",
|
|
" width: 50%;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-parallel-item:last-child::after {\n",
|
|
" align-self: flex-start;\n",
|
|
" width: 50%;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-parallel-item:only-child::after {\n",
|
|
" width: 0;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Serial-specific style estimator block */\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-serial {\n",
|
|
" display: flex;\n",
|
|
" flex-direction: column;\n",
|
|
" align-items: center;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" padding-right: 1em;\n",
|
|
" padding-left: 1em;\n",
|
|
"}\n",
|
|
"\n",
|
|
"\n",
|
|
"/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
|
|
"clickable and can be expanded/collapsed.\n",
|
|
"- Pipeline and ColumnTransformer use this feature and define the default style\n",
|
|
"- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
|
|
"*/\n",
|
|
"\n",
|
|
"/* Pipeline and ColumnTransformer style (default) */\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-toggleable {\n",
|
|
" /* Default theme specific background. It is overwritten whether we have a\n",
|
|
" specific estimator or a Pipeline/ColumnTransformer */\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Toggleable label */\n",
|
|
"#sk-container-id-3 label.sk-toggleable__label {\n",
|
|
" cursor: pointer;\n",
|
|
" display: flex;\n",
|
|
" width: 100%;\n",
|
|
" margin-bottom: 0;\n",
|
|
" padding: 0.5em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" text-align: center;\n",
|
|
" align-items: start;\n",
|
|
" justify-content: space-between;\n",
|
|
" gap: 0.5em;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 label.sk-toggleable__label .caption {\n",
|
|
" font-size: 0.6rem;\n",
|
|
" font-weight: lighter;\n",
|
|
" color: var(--sklearn-color-text-muted);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 label.sk-toggleable__label-arrow:before {\n",
|
|
" /* Arrow on the left of the label */\n",
|
|
" content: \"▸\";\n",
|
|
" float: left;\n",
|
|
" margin-right: 0.25em;\n",
|
|
" color: var(--sklearn-color-icon);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 label.sk-toggleable__label-arrow:hover:before {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Toggleable content - dropdown */\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-toggleable__content {\n",
|
|
" max-height: 0;\n",
|
|
" max-width: 0;\n",
|
|
" overflow: hidden;\n",
|
|
" text-align: left;\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-toggleable__content.fitted {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-toggleable__content pre {\n",
|
|
" margin: 0.2em;\n",
|
|
" border-radius: 0.25em;\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-toggleable__content.fitted pre {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
|
|
" /* Expand drop-down */\n",
|
|
" max-height: 200px;\n",
|
|
" max-width: 100%;\n",
|
|
" overflow: auto;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
|
|
" content: \"▾\";\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Pipeline/ColumnTransformer-specific style */\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator-specific style */\n",
|
|
"\n",
|
|
"/* Colorize estimator box */\n",
|
|
"#sk-container-id-3 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-label label.sk-toggleable__label,\n",
|
|
"#sk-container-id-3 div.sk-label label {\n",
|
|
" /* The background is the default theme color */\n",
|
|
" color: var(--sklearn-color-text-on-default-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover, darken the color of the background */\n",
|
|
"#sk-container-id-3 div.sk-label:hover label.sk-toggleable__label {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Label box, darken color on hover, fitted */\n",
|
|
"#sk-container-id-3 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator label */\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-label label {\n",
|
|
" font-family: monospace;\n",
|
|
" font-weight: bold;\n",
|
|
" display: inline-block;\n",
|
|
" line-height: 1.2em;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-label-container {\n",
|
|
" text-align: center;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator-specific */\n",
|
|
"#sk-container-id-3 div.sk-estimator {\n",
|
|
" font-family: monospace;\n",
|
|
" border: 1px dotted var(--sklearn-color-border-box);\n",
|
|
" border-radius: 0.25em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" margin-bottom: 0.5em;\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-estimator.fitted {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* on hover */\n",
|
|
"#sk-container-id-3 div.sk-estimator:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 div.sk-estimator.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
|
|
"\n",
|
|
"/* Common style for \"i\" and \"?\" */\n",
|
|
"\n",
|
|
".sk-estimator-doc-link,\n",
|
|
"a:link.sk-estimator-doc-link,\n",
|
|
"a:visited.sk-estimator-doc-link {\n",
|
|
" float: right;\n",
|
|
" font-size: smaller;\n",
|
|
" line-height: 1em;\n",
|
|
" font-family: monospace;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" border-radius: 1em;\n",
|
|
" height: 1em;\n",
|
|
" width: 1em;\n",
|
|
" text-decoration: none !important;\n",
|
|
" margin-left: 0.5em;\n",
|
|
" text-align: center;\n",
|
|
" /* unfitted */\n",
|
|
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-unfitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link.fitted,\n",
|
|
"a:link.sk-estimator-doc-link.fitted,\n",
|
|
"a:visited.sk-estimator-doc-link.fitted {\n",
|
|
" /* fitted */\n",
|
|
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-fitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover */\n",
|
|
"div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
|
|
".sk-estimator-doc-link:hover,\n",
|
|
"div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
|
|
".sk-estimator-doc-link:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
|
|
".sk-estimator-doc-link.fitted:hover,\n",
|
|
"div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
|
|
".sk-estimator-doc-link.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Span, style for the box shown on hovering the info icon */\n",
|
|
".sk-estimator-doc-link span {\n",
|
|
" display: none;\n",
|
|
" z-index: 9999;\n",
|
|
" position: relative;\n",
|
|
" font-weight: normal;\n",
|
|
" right: .2ex;\n",
|
|
" padding: .5ex;\n",
|
|
" margin: .5ex;\n",
|
|
" width: min-content;\n",
|
|
" min-width: 20ex;\n",
|
|
" max-width: 50ex;\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" box-shadow: 2pt 2pt 4pt #999;\n",
|
|
" /* unfitted */\n",
|
|
" background: var(--sklearn-color-unfitted-level-0);\n",
|
|
" border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link.fitted span {\n",
|
|
" /* fitted */\n",
|
|
" background: var(--sklearn-color-fitted-level-0);\n",
|
|
" border: var(--sklearn-color-fitted-level-3);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link:hover span {\n",
|
|
" display: block;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* \"?\"-specific style due to the `<a>` HTML tag */\n",
|
|
"\n",
|
|
"#sk-container-id-3 a.estimator_doc_link {\n",
|
|
" float: right;\n",
|
|
" font-size: 1rem;\n",
|
|
" line-height: 1em;\n",
|
|
" font-family: monospace;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" border-radius: 1rem;\n",
|
|
" height: 1rem;\n",
|
|
" width: 1rem;\n",
|
|
" text-decoration: none;\n",
|
|
" /* unfitted */\n",
|
|
" color: var(--sklearn-color-unfitted-level-1);\n",
|
|
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 a.estimator_doc_link.fitted {\n",
|
|
" /* fitted */\n",
|
|
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-fitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover */\n",
|
|
"#sk-container-id-3 a.estimator_doc_link:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-3 a.estimator_doc_link.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-3);\n",
|
|
"}\n",
|
|
"</style><div id=\"sk-container-id-3\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LogisticRegression()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-3\" type=\"checkbox\" checked><label for=\"sk-estimator-id-3\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>LogisticRegression</div></div><div><a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.6/modules/generated/sklearn.linear_model.LogisticRegression.html\">?<span>Documentation for LogisticRegression</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></div></label><div class=\"sk-toggleable__content fitted\"><pre>LogisticRegression()</pre></div> </div></div></div></div>"
|
|
],
|
|
"text/plain": [
|
|
"LogisticRegression()"
|
|
]
|
|
},
|
|
"execution_count": 58,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"from sklearn.linear_model import LogisticRegression\n",
|
|
"# YOUR CODE HERE\n",
|
|
"clf = LogisticRegression()\n",
|
|
"clf.fit(X_train_1d, y_train)\n",
|
|
"\n",
|
|
"#raise NotImplementedError()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 59,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "4af20705b1b5e8ba2ccb810b4ac4a8f6",
|
|
"grade": true,
|
|
"grade_id": "cell-f6edcb4e5f610518",
|
|
"locked": true,
|
|
"points": 1,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"clf defined.\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"check_var_defined('clf')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "8241cadb1bf5fa6ca1e650cf83a16181",
|
|
"grade": false,
|
|
"grade_id": "cell-1aafef5deaf49404",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"*Compute the decision boundary of the logistic regression model fitted by Scikit-Learn. User variable `decision_boundary_sklearn` for your result.*\n",
|
|
"\n",
|
|
"(Ensure your result is a scalar and not an array of length 1.)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 60,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "3ada1a115b287bb9f88afb2c54886805",
|
|
"grade": false,
|
|
"grade_id": "cell-01cd8a3ebc69de43",
|
|
"locked": false,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"# YOUR CODE HERE\n",
|
|
"decision_boundary_sklearn = -clf.intercept_[0]/clf.coef_[0][0]\n",
|
|
"#raise NotImplementedError()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 61,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "d8f8933baaf6b9eec389763501544d46",
|
|
"grade": true,
|
|
"grade_id": "cell-0ed39065189e2fae",
|
|
"locked": true,
|
|
"points": 1,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"decision_boundary_sklearn = 1.4335\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"assert not hasattr(decision_boundary_sklearn, \"__len__\")\n",
|
|
"print(\"decision_boundary_sklearn = {0:.4f}\".format(decision_boundary_sklearn))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "61747e5a45a3f44ed6fecb3d4840739f",
|
|
"grade": false,
|
|
"grade_id": "cell-b634a6057f675df8",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"*Evaluate the probabilities predicted by your logistic regression model over the domain specified by the variable `X_1d_new`. Use variable `y_1d_proba` for your computed probabilities.*"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 62,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "713631c608bc415a882d456ebd580a72",
|
|
"grade": false,
|
|
"grade_id": "cell-b3f7cdf5d4698ad6",
|
|
"locked": false,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"X_1d_new = np.linspace(0.3, 2.0, 1000).reshape(-1, 1)\n",
|
|
"# YOUR CODE HERE\n",
|
|
"y_1d_proba = clf.predict_proba(X_1d_new)\n",
|
|
"#raise NotImplementedError()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 63,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "8d32cd84ae52ee452b0b5d3d026c81e7",
|
|
"grade": true,
|
|
"grade_id": "cell-bb76289d4e36fcb0",
|
|
"locked": true,
|
|
"points": 1,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"y_1d_proba defined.\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"check_var_defined('y_1d_proba')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "d257001f04351ccc61372e6e3ef4ed24",
|
|
"grade": false,
|
|
"grade_id": "cell-84d06c82f79d0657",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"*Plot the probability of a star being of type RR Lyrae against the colour variable considered. Also plot the probability of being a Background star. Overlay these plots on the scatter plot of class types. Also plot the decision boundary that you guessed previously and the one computed by Scikit-Learn.*"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 64,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "9406aeb0f224d10e25c85c23229913ed",
|
|
"grade": true,
|
|
"grade_id": "cell-1c623b6df631aa69",
|
|
"locked": false,
|
|
"points": 3,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"<matplotlib.legend.Legend at 0x783471bcec90>"
|
|
]
|
|
},
|
|
"execution_count": 64,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 1000x500 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"plot_scatter()\n",
|
|
"# YOUR CODE HERE\n",
|
|
"# Probabilities are listed in order of classes, so 0, 1 -> Background, RR Lyrae\n",
|
|
"#print(clf.classes_)\n",
|
|
"plt.plot(X_1d_new, y_1d_proba, label=[\"Background\", \"RR Lyrae\"])\n",
|
|
"plt.plot([decision_boundary_guess, decision_boundary_guess], [0, 1], linestyle=\"dashed\", label=\"guess\")\n",
|
|
"plt.plot([decision_boundary_sklearn, decision_boundary_sklearn], [0, 1], linestyle=\"dashed\", label=\"sklearn\")\n",
|
|
"plt.legend()\n",
|
|
"#raise NotImplementedError()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "38c50ceb30eb397312f8c8781e61c8ce",
|
|
"grade": false,
|
|
"grade_id": "cell-47b93e984622610a",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"*From inspection of your plot, how would all objects in the training set be classified?*"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "935b844dc811a7bb002362530ea1382c",
|
|
"grade": true,
|
|
"grade_id": "cell-dff437e03665f571",
|
|
"locked": false,
|
|
"points": 1,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"source": [
|
|
"All objects would be classified as background stars."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "57c4ff384e0f250284b57a31fdd4d676",
|
|
"grade": false,
|
|
"grade_id": "cell-8bd241aeb91446bd",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"*Use your logistic regression model fitted by Scikit-Learn to predict the class of all objects in the test set. Use variable `y_test_1d_pred` to specify your answer.*"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 65,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "2c6b24344bcddc3f7b486346219e61af",
|
|
"grade": false,
|
|
"grade_id": "cell-bf444b0d8690c876",
|
|
"locked": false,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"# YOUR CODE HERE\n",
|
|
"y_test_1d_pred = clf.predict(X_train_1d)\n",
|
|
"#raise NotImplementedError()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 66,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "78f7aec829aca85dea759adc10e7c1dc",
|
|
"grade": true,
|
|
"grade_id": "cell-d69905ed477cb96f",
|
|
"locked": true,
|
|
"points": 1,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"y_test_1d_pred defined.\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"check_var_defined('y_test_1d_pred')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "a6947196762b67730c6fc399918e0f5b",
|
|
"grade": false,
|
|
"grade_id": "cell-71d78cb3b65a5d2d",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"*How many objects are classified as of type RR Lyrae? Use variable `n_rrlyrae_pred` to specify your answer.*"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 67,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "8346a9ea30670eef34617e29278b7e57",
|
|
"grade": false,
|
|
"grade_id": "cell-16f880b76044c462",
|
|
"locked": false,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"# YOUR CODE HERE\n",
|
|
"n_rrlyrae_pred = len([y for y in y_test_1d_pred if y == 1])\n",
|
|
"#raise NotImplementedError()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 68,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "63011f49012188bb2c43c31b5583d0ab",
|
|
"grade": true,
|
|
"grade_id": "cell-357fb80562d278c5",
|
|
"locked": true,
|
|
"points": 1,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"n_rrlyrae_pred defined.\n",
|
|
"n_rrlyrae_pred = 0\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"check_var_defined('n_rrlyrae_pred')\n",
|
|
"assert n_rrlyrae_pred % 1 == 0 # check integer\n",
|
|
"print(\"n_rrlyrae_pred = {0}\".format(n_rrlyrae_pred))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "60515433771f989e3f319af605095ce3",
|
|
"grade": false,
|
|
"grade_id": "cell-1c52ae8c8d62b5c1",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"*How many objects are classified as of type Background? Use variable `n_background_pred` to specify your answer.*"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 69,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "d27d505271b0382875458a6a858a5a99",
|
|
"grade": false,
|
|
"grade_id": "cell-ba43adb513abebcd",
|
|
"locked": false,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"# YOUR CODE HERE\n",
|
|
"n_background_pred = len([y for y in y_test_1d_pred if y == 0])\n",
|
|
"#raise NotImplementedError()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 70,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "92dc794912b509ba3c7666f5adfc5121",
|
|
"grade": true,
|
|
"grade_id": "cell-5280ae78f8605c96",
|
|
"locked": true,
|
|
"points": 1,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"n_background_pred defined.\n",
|
|
"n_background_pred = 69855\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"check_var_defined('n_background_pred')\n",
|
|
"assert n_background_pred % 1 == 0 # check integer\n",
|
|
"print(\"n_background_pred = {0}\".format(n_background_pred))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "5a4bf6f4b7b42873c50a01847c6a3ccd",
|
|
"grade": false,
|
|
"grade_id": "cell-8c852f5f04910102",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"Let's check the Scikit-Learn result by solving the logistic regression problem (without regularisation) manually."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "80cfc52c440f87820d3df9ce756d0420",
|
|
"grade": false,
|
|
"grade_id": "cell-297b86c040caaaa6",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"Recall that the cost function for logistic regression is given by\n",
|
|
"$$\n",
|
|
"C(\\theta) = -\\frac{1}{m} \\sum_{i=1}^m \n",
|
|
"\\left [ \n",
|
|
"y^{(i)} \\log(\\hat{p}^{(i)})\n",
|
|
"+\n",
|
|
"(1 - y^{(i)}) \\log(1 - \\hat{p}^{(i)})\n",
|
|
"\\right],\n",
|
|
"$$\n",
|
|
"\n",
|
|
"\n",
|
|
"where\n",
|
|
"\n",
|
|
"$$\\hat{p} = \\sigma(\\theta^\\text{T} x) = \\frac{1}{1+\\exp{(-\\theta^\\text{T} x)}}. $$"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "0be2a2a142b58454e9eee6c6a629faf3",
|
|
"grade": false,
|
|
"grade_id": "cell-4f5546691b1d0ce4",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"Show analytically that the derivative of the cost function is given by\n",
|
|
"$$\\begin{eqnarray}\n",
|
|
"\\frac{\\partial C}{\\partial \\theta} \n",
|
|
"&=& \n",
|
|
"\\frac{1}{m} \\sum_{i=1}^m \n",
|
|
"\\left[ \\sigma\\left(\\theta^{\\rm T} x^{(i)} \\right) - y^{(i)} \\right]\n",
|
|
"x^{(i)}\\\\\n",
|
|
"&=&\n",
|
|
"\\frac{1}{m} \n",
|
|
"X^{\\rm T}\n",
|
|
"\\left[ \\sigma\\left(X \\theta \\right) - y \\right]\n",
|
|
"\\end{eqnarray}$$\n",
|
|
"\n",
|
|
"(use latex mathematics expressions)."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "aac5b115296dd81b6f6b134cdbfc8ab9",
|
|
"grade": false,
|
|
"grade_id": "cell-e9f16916c6a0b264",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"*First, simplify the cost function terms $\\log(\\hat{p})$ and $\\log(1-\\hat{p})$ to express in terms linear in $\\log\\left({1+{\\rm e}^{-\\theta^{\\rm T}x}}\\right)$.*\n",
|
|
"\n",
|
|
"(You may drop $i$ superscripts for notational brevity.)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "460abf3f41632681b67e865162d4cef3",
|
|
"grade": true,
|
|
"grade_id": "cell-5fc3a8343ec24488",
|
|
"locked": false,
|
|
"points": 2,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"source": [
|
|
"Simplify $\\log(\\hat{p})$:\n",
|
|
"\n",
|
|
"$$\\begin{eqnarray}\n",
|
|
"\\log(\\hat{p}) &=& \\log\\left(\\frac{1}{1+e^{-\\theta^Tx}}\\right)\\\\\n",
|
|
"&=& -\\log\\left(1+e^{-\\theta^Tx}\\right)\n",
|
|
"\\end{eqnarray}$$\n",
|
|
"\n",
|
|
"Simplify $\\log(1-\\hat{p})$:\n",
|
|
"\n",
|
|
"*Reduce terms...*\n",
|
|
"\n",
|
|
"$$1-\\hat{p} = 1-\\frac{1}{1+e^{-\\theta^Tx}}$$\n",
|
|
"$$=\\frac{1+e^{-\\theta^Tx}}{1+e^{-\\theta^Tx}}-\\frac{1}{1+e^{-\\theta^Tx}}$$\n",
|
|
"$$=\\frac{e^{-\\theta^Tx}}{1+e^{-\\theta^Tx}}$$\n",
|
|
"\n",
|
|
"*Take the logarithm...*\n",
|
|
"\n",
|
|
"$$\\log{(1-\\hat{p})}=\\log{\\left(\\frac{e^{-\\theta^Tx}}{1+e^{-\\theta^Tx}}\\right)}$$\n",
|
|
"$$=\\log{\\left(e^{-\\theta^Tx}\\right)}-\\log{\\left(1+e^{-\\theta^Tx}\\right)}$$\n",
|
|
"$$=-\\theta^Tx-\\log{\\left(1+e^{-\\theta^Tx}\\right)}$$"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "460d773d236b0ccb40e769762703284e",
|
|
"grade": false,
|
|
"grade_id": "cell-171037df1a01a3f4",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"*Next, substitute these terms into the cost function and simplify to also express the cost function in terms linear in $\\log\\left({1+{\\rm e}^{-\\theta^{\\rm T}x}}\\right)$.*"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## "
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "e9a37a1c8dc9250fa7070f97ba5adf58",
|
|
"grade": true,
|
|
"grade_id": "cell-dcdb0de863dc8931",
|
|
"locked": false,
|
|
"points": 2,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"source": [
|
|
"Substitute terms into cost function:\n",
|
|
"$$\n",
|
|
"C(\\theta) = -\\frac{1}{m} \\sum_{i=1}^m \n",
|
|
"\\left [ \n",
|
|
"y^{(i)} (-\\log(1+e^{-\\theta^Tx^{(i)}}))\n",
|
|
"+\n",
|
|
"(1 - y^{(i)}) (-\\theta^Tx^{(i)}-\\log{(1+e^{-\\theta^Tx^{(i)}})})\n",
|
|
"\\right]\n",
|
|
"$$\n",
|
|
"\n",
|
|
"We extract the variable $u$, consider only the inner expression and drop the $(i)$ notation for brevity:\n",
|
|
"\n",
|
|
"$$ u = \\theta^Tx^{(i)} $$\n",
|
|
"\n",
|
|
"$$\n",
|
|
"y (-\\log(1+e^{-u}))\n",
|
|
"+\n",
|
|
"(1 - y) (-u-\\log{(1+e^{-u})})\n",
|
|
"$$\n",
|
|
"\n",
|
|
"*Expand the terms...*\n",
|
|
"\n",
|
|
"$$\n",
|
|
"-y\\log(1+e^{-u})\n",
|
|
"-u -\\log(1+e^{-u}) + yu +y\\log(1+e^{-u})\n",
|
|
"$$\n",
|
|
"\n",
|
|
"*Delete cancelling terms...*\n",
|
|
"\n",
|
|
"$$\n",
|
|
"-u -\\log(1+e^{-u}) + yu\n",
|
|
"$$\n",
|
|
"\n",
|
|
"*Simplify...*\n",
|
|
"\n",
|
|
"$$\n",
|
|
"(y-1)u - \\log(1+e^{-u})\n",
|
|
"$$\n",
|
|
"\n",
|
|
"Yielding a simplified cost function:\n",
|
|
"\n",
|
|
"$$\n",
|
|
"C(\\theta) = -\\frac{1}{m} \\sum_{i=1}^m \n",
|
|
"\\left [ \n",
|
|
"(y^{(i)}-1)\\theta^Tx^{(i)} - \\log{(1+e^{-\\theta^Tx^{(i)}})}\n",
|
|
"\\right]\n",
|
|
"$$\n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "e1fdb7cfcd2cb7f1b88deb585ec01297",
|
|
"grade": false,
|
|
"grade_id": "cell-6f608ac000ec6c3b",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"*Now compute the derivative of the cost function with respect to variable $\\theta_j$, i.e. compute $\\partial C / \\partial \\theta_j$.*"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "6d001523ce8324ab2ed170b153b96003",
|
|
"grade": true,
|
|
"grade_id": "cell-c386ea220c086ace",
|
|
"locked": false,
|
|
"points": 1,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"source": [
|
|
"We will differentiate $C(\\theta)$ term-by-term, writing only the inner expression and dropping the $(i)$ notation for brevity.\n",
|
|
"\n",
|
|
"\n",
|
|
"First term: $ (y - 1) \\theta^Tx $\n",
|
|
"\n",
|
|
"$$ \\frac{\\partial}{\\partial\\theta_j} \\left[ (y-1) \\theta^Tx \\right] = (y-1) \\frac{\\partial}{\\partial\\theta_j} \\theta^Tx $$ \n",
|
|
"\n",
|
|
"$$ \\frac{\\partial}{\\partial\\theta_j} \\theta^Tx = x_j $$\n",
|
|
"\n",
|
|
"$$ \\frac{\\partial}{\\partial\\theta_j} \\left[ (y-1) \\theta^Tx \\right] = (y-1) \\cdot x_j $$ \n",
|
|
"\n",
|
|
"\n",
|
|
"Second term: $ -\\log{(1+e^{-\\theta^Tx^{(i)}})} $\n",
|
|
"\n",
|
|
"Extract the negation to simplify the differentiation:\n",
|
|
"\n",
|
|
"$$ \\frac{\\partial}{\\partial\\theta_j} \\left[ -\\log(1+e^{-\\theta^Tx}) \\right] = -\\frac{\\partial}{\\partial\\theta_j} \\left[ \\log(1+e^{-\\theta^Tx}) \\right] $$\n",
|
|
"\n",
|
|
"Extract functions for the chain rule:\n",
|
|
"\n",
|
|
"$$ f(g) = \\log(g) $$\n",
|
|
"$$ g(u) = 1+e^{-u} $$\n",
|
|
"$$ u(\\theta_j) = \\theta^Tx $$\n",
|
|
"\n",
|
|
"$$ -\\frac{\\partial}{\\partial\\theta_j} \\left[ \\log(1+e^{-\\theta^Tx}) \\right] = -\\frac{d}{d\\theta_j} f(g(u(\\theta_j))) $$\n",
|
|
"\n",
|
|
"Differentiate those functions:\n",
|
|
"\n",
|
|
"$$ \\frac{df}{dg} = \\frac{1}{g} $$\n",
|
|
"$$ \\frac{dg}{du} = -e^{-u} $$\n",
|
|
"$$ \\frac{du}{d\\theta_j} = x $$\n",
|
|
"\n",
|
|
"Combine the derivatives and return the negation:\n",
|
|
"\n",
|
|
"$$ \\frac{\\partial}{\\partial\\theta_j} \\left[ -\\log(1+e^{-\\theta^Tx}) \\right] = -\\frac{df}{dg} \\cdot \\frac{dg}{du} \\cdot \\frac{du}{d\\theta_j} = -\\frac{1}{1+e^{-\\theta^Tx}} \\cdot -e^{-\\theta^Tx} \\cdot x $$\n",
|
|
"\n",
|
|
"$$ = \\frac{e^{-\\theta^Tx}}{1+e^{-\\theta^Tx}} \\cdot x $$\n",
|
|
"\n",
|
|
"At this point we recognise $ \\sigma(x) = \\frac{1}{1+e^{-x}} $ and show that $ \\frac{e^{-x}}{1+e^{-x}} = 1 -\\sigma(x) $:\n",
|
|
"\n",
|
|
"$$ 1 -\\sigma(x) = 1 -\\frac{1}{1+e^{-x}} = \\frac{1+e^{-x}}{1+e^{-x}} -\\frac{1}{1+e^{-x}} = \\frac{1+e^{-x}-1}{1+e^{-x}} = \\frac{e^{-x}}{1+e^{-x}} $$\n",
|
|
"\n",
|
|
"Thus:\n",
|
|
"\n",
|
|
"$$ \\frac{\\partial}{\\partial\\theta_j} \\left[ -\\log(1+e^{-\\theta^Tx}) \\right] = (1 -\\sigma(\\theta^Tx)) \\cdot x $$\n",
|
|
"\n",
|
|
"We can now recombine the two terms:\n",
|
|
"\n",
|
|
"$$ \\frac{\\partial C}{\\partial\\theta_j} = (y-1)x + (1-\\sigma\\left(\\theta^Tx\\right))x = \\left[ y -\\sigma(\\theta^Tx) \\right]x $$\n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "0a496a1ff30721c92959260555798802",
|
|
"grade": false,
|
|
"grade_id": "cell-89b9177d7dde5e70",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"*Combine terms for all $\\theta_j$ to give the overall derivative with respect to $\\theta$, i.e. $\\partial C / \\partial \\theta$.*"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "d456331004b76307432816c30e8c1fdf",
|
|
"grade": true,
|
|
"grade_id": "cell-331a74ac412db42b",
|
|
"locked": false,
|
|
"points": 1,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"source": [
|
|
"We re-include the outer expression and $(i)$ notation:\n",
|
|
"\n",
|
|
"$$\n",
|
|
"\\frac{\\partial C}{\\partial \\theta} = \n",
|
|
"-\\frac{1}{m} \\sum_{i=1}^m \n",
|
|
"\\left[ \\sigma\\left(\\theta^{\\rm T} x^{(i)} \\right) - y^{(i)} \\right]\n",
|
|
"x^{(i)} =\n",
|
|
"\\frac{1}{m} \\sum_{i=1}^m \n",
|
|
"\\left[ y^{(i)} - \\sigma\\left(\\theta^{\\rm T} x^{(i)} \\right) \\right]\n",
|
|
"x^{(i)}\n",
|
|
"$$"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "54da6d5b63818d49cf17905b39e8bfab",
|
|
"grade": false,
|
|
"grade_id": "cell-722790463e0f0312",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"Using the analytically expression for the derivative of the cost function, we will solve the logistic regression problem by implementing a gradient descent algorithm."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "56b427758004808ef8810be4f28e3f57",
|
|
"grade": false,
|
|
"grade_id": "cell-c4321f09bf73ba33",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"*First, define the sigmoid function.*"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 71,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "529913786cc0781f24e5c75054c8261b",
|
|
"grade": false,
|
|
"grade_id": "cell-e12fc0aa65b673b1",
|
|
"locked": false,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"def sigmoid(x):\n",
|
|
" # YOUR CODE HERE\n",
|
|
" return 1/(1+np.exp(-x))\n",
|
|
" #raise NotImplementedError()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 72,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "797ba69ea2672a081856123e1d4cab2f",
|
|
"grade": true,
|
|
"grade_id": "cell-a5a50f4ec07d05fd",
|
|
"locked": true,
|
|
"points": 1,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"assert np.isclose(sigmoid(0), 0.5)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "915639b69935959b525f62d5bd0b3c00",
|
|
"grade": false,
|
|
"grade_id": "cell-ba2bb8821f4e75ad",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"*Next, extend the training data to account for a bias term in your model. Use variable `X_train_1d_b` to specify your result.*"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 73,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "e23f14ea753621e64da00f591268a851",
|
|
"grade": false,
|
|
"grade_id": "cell-463d94ffced62fba",
|
|
"locked": false,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"# YOUR CODE HERE\n",
|
|
"X_train_1d_b = np.c_[np.ones((X_train_1d.shape[0], 1)), X_train_1d]\n",
|
|
"#raise NotImplementedError()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 74,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "b3f12428f02c09090a800fe5d46ef8f5",
|
|
"grade": true,
|
|
"grade_id": "cell-c6f32c5137a9f302",
|
|
"locked": true,
|
|
"points": 1,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"X_train_1d_b defined.\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"check_var_defined('X_train_1d_b')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "9e30b76258ae09d0d57ee57525cab5fa",
|
|
"grade": false,
|
|
"grade_id": "cell-15322bd5d7e6c8bf",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"*Implement batch gradient descent to fit the parameters of your logistic regression model. Consider `n_iterations = 4000` iterations and a learning rate of `alpha = 100.0`. Consider a starting point of $\\theta_0 = (1, 1)$, i.e. `theta = np.array([[1], [1]])`. Use variable `theta` to specify your estimated parameters.*\n",
|
|
"\n",
|
|
"*(Make sure your implementation is reasonably efficient. If it takes longer than 2 minutes to execute when running on our server it may not complete and you will not be awarded grades. The solution answer runs in under 10 seconds.)*"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 75,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "e09887c1b2b8d4411a068063095582ec",
|
|
"grade": false,
|
|
"grade_id": "cell-aee503a999e27cf6",
|
|
"locked": false,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"n_iterations = 4000\n",
|
|
"alpha = 100.0\n",
|
|
"theta = np.array([[1], [1]])\n",
|
|
"\n",
|
|
"# YOUR CODE HERE\n",
|
|
"m = len(X_train_1d_b)\n",
|
|
"\n",
|
|
"for n in range(n_iterations):\n",
|
|
" residuals = sigmoid(X_train_1d_b @ theta) - y_train.reshape(-1, 1)\n",
|
|
" gradients = 1/m * X_train_1d_b.T @ residuals\n",
|
|
" theta = theta - alpha * gradients\n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 76,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "b29368af60c38637709a67ba63372233",
|
|
"grade": true,
|
|
"grade_id": "cell-db0d3866ab6ed5aa",
|
|
"locked": true,
|
|
"points": 4,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"theta defined.\n",
|
|
"theta[0] = -21.7012\n",
|
|
"theta[1] = 15.8177\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"check_var_defined('theta')\n",
|
|
"print(\"theta[0] = {0:.4f}\".format(theta[0][0]))\n",
|
|
"print(\"theta[1] = {0:.4f}\".format(theta[1][0]))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "2c3275c68a087f4b57825087f2c0e024",
|
|
"grade": false,
|
|
"grade_id": "cell-d6efe104a72bb532",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"*Compute the difference between the logistic regression model intercept computed by Scikit-Learn and manually. Use variable `intercept_diff` for your result.*"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 77,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "609ee4a21d8b86b1bbf931c8313b38d9",
|
|
"grade": false,
|
|
"grade_id": "cell-b761dbdc7668fb7d",
|
|
"locked": false,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"# YOUR CODE HERE\n",
|
|
"intercept_diff = (theta[0] - clf.coef_[0])[0]\n",
|
|
"#raise NotImplementedError()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 78,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "77cebdb4b7cf0653da556a19347d7921",
|
|
"grade": true,
|
|
"grade_id": "cell-eda44b051be24b4c",
|
|
"locked": true,
|
|
"points": 1,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"intercept_diff defined.\n",
|
|
"intercept_diff = -3.4476E+01\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"check_var_defined('intercept_diff')\n",
|
|
"print(\"intercept_diff = {0:.4E}\".format(intercept_diff))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "59efb6665ec993c52e2262eee838fc25",
|
|
"grade": false,
|
|
"grade_id": "cell-3ff8e6906407e9fe",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"*Compute the difference between the logistic regression model* slope *(i.e. coefficient) computed by Scikit-Learn and manually. Use variable `coeff_diff` for your result.*"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 79,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "ec3e8455318b44f96b4cc4ff259aaaad",
|
|
"grade": false,
|
|
"grade_id": "cell-17bd3970318abda0",
|
|
"locked": false,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"# YOUR CODE HERE\n",
|
|
"coeff_diff = (theta[1] - clf.coef_[0])[0]\n",
|
|
"######raise NotImplementedError()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 80,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "bcc12d94a1fa9b22a5710d5cc64b9399",
|
|
"grade": true,
|
|
"grade_id": "cell-830185c3c51f3f91",
|
|
"locked": true,
|
|
"points": 1,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"coeff_diff defined.\n",
|
|
"coeff_diff = 3.0429E+00\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"check_var_defined('coeff_diff')\n",
|
|
"print(\"coeff_diff = {0:.4E}\".format(coeff_diff))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "8eebb530913c2d78ea43e8d6cfccb9a7",
|
|
"grade": false,
|
|
"grade_id": "cell-0d8a45598ebad1aa",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"You should find that the solution from your gradient descent algorithm is close (although not identical) to that recovered by Scikit-Learn. "
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "ebb30f7db5829cfb68123d51796994cd",
|
|
"grade": false,
|
|
"grade_id": "cell-8b404d163f645ffd",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"Both fitted logistic regression models, however, are not effective. The reason for this is because of class imbalance. *Describe the class imbalance problem in your own words and how it manifests itself in the classification problem at hand.*"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "bbf0e320d4f9d168daa3b4b6397a6a6b",
|
|
"grade": true,
|
|
"grade_id": "cell-73126eae7fcd4d45",
|
|
"locked": false,
|
|
"points": 3,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"source": [
|
|
"There are far more elements in one class than the other which causes a bias in the model which makes it difficult to detect istances of the smaller class. In the classification problem at hand, we find that the decision boundary, given by $\\beta_0/\\beta_1$, is 1.4. All training data lies on one side of this boundary, and thus every prediction is a background star."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "d2c5242206ed7f763289951a7d5b1acd",
|
|
"grade": false,
|
|
"grade_id": "cell-32339ef70667c4de",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"The class imbalance problem can be addressed by weighting the training data in a manner that is inversely proportional to their frequency.\n",
|
|
"\n",
|
|
"*Repeat the fitting of your linear regression model but this time perform class weighting. Use variable `clf_balanced` for your new model.*\n",
|
|
"\n",
|
|
"See the `class_weight` argument of the Scikit-Learn [Logistic Regression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) classifier for further details on how to perform class weighting."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 81,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "ca93af45fe489f2970d9465be9f1f227",
|
|
"grade": false,
|
|
"grade_id": "cell-043f89d606f8da67",
|
|
"locked": false,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/html": [
|
|
"<style>#sk-container-id-4 {\n",
|
|
" /* Definition of color scheme common for light and dark mode */\n",
|
|
" --sklearn-color-text: #000;\n",
|
|
" --sklearn-color-text-muted: #666;\n",
|
|
" --sklearn-color-line: gray;\n",
|
|
" /* Definition of color scheme for unfitted estimators */\n",
|
|
" --sklearn-color-unfitted-level-0: #fff5e6;\n",
|
|
" --sklearn-color-unfitted-level-1: #f6e4d2;\n",
|
|
" --sklearn-color-unfitted-level-2: #ffe0b3;\n",
|
|
" --sklearn-color-unfitted-level-3: chocolate;\n",
|
|
" /* Definition of color scheme for fitted estimators */\n",
|
|
" --sklearn-color-fitted-level-0: #f0f8ff;\n",
|
|
" --sklearn-color-fitted-level-1: #d4ebff;\n",
|
|
" --sklearn-color-fitted-level-2: #b3dbfd;\n",
|
|
" --sklearn-color-fitted-level-3: cornflowerblue;\n",
|
|
"\n",
|
|
" /* Specific color for light theme */\n",
|
|
" --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
|
|
" --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
|
|
" --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
|
|
" --sklearn-color-icon: #696969;\n",
|
|
"\n",
|
|
" @media (prefers-color-scheme: dark) {\n",
|
|
" /* Redefinition of color scheme for dark theme */\n",
|
|
" --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
|
|
" --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
|
|
" --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
|
|
" --sklearn-color-icon: #878787;\n",
|
|
" }\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-4 {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-4 pre {\n",
|
|
" padding: 0;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-4 input.sk-hidden--visually {\n",
|
|
" border: 0;\n",
|
|
" clip: rect(1px 1px 1px 1px);\n",
|
|
" clip: rect(1px, 1px, 1px, 1px);\n",
|
|
" height: 1px;\n",
|
|
" margin: -1px;\n",
|
|
" overflow: hidden;\n",
|
|
" padding: 0;\n",
|
|
" position: absolute;\n",
|
|
" width: 1px;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-4 div.sk-dashed-wrapped {\n",
|
|
" border: 1px dashed var(--sklearn-color-line);\n",
|
|
" margin: 0 0.4em 0.5em 0.4em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" padding-bottom: 0.4em;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-4 div.sk-container {\n",
|
|
" /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
|
|
" but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
|
|
" so we also need the `!important` here to be able to override the\n",
|
|
" default hidden behavior on the sphinx rendered scikit-learn.org.\n",
|
|
" See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
|
|
" display: inline-block !important;\n",
|
|
" position: relative;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-4 div.sk-text-repr-fallback {\n",
|
|
" display: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"div.sk-parallel-item,\n",
|
|
"div.sk-serial,\n",
|
|
"div.sk-item {\n",
|
|
" /* draw centered vertical line to link estimators */\n",
|
|
" background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
|
|
" background-size: 2px 100%;\n",
|
|
" background-repeat: no-repeat;\n",
|
|
" background-position: center center;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Parallel-specific style estimator block */\n",
|
|
"\n",
|
|
"#sk-container-id-4 div.sk-parallel-item::after {\n",
|
|
" content: \"\";\n",
|
|
" width: 100%;\n",
|
|
" border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
|
|
" flex-grow: 1;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-4 div.sk-parallel {\n",
|
|
" display: flex;\n",
|
|
" align-items: stretch;\n",
|
|
" justify-content: center;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" position: relative;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-4 div.sk-parallel-item {\n",
|
|
" display: flex;\n",
|
|
" flex-direction: column;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-4 div.sk-parallel-item:first-child::after {\n",
|
|
" align-self: flex-end;\n",
|
|
" width: 50%;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-4 div.sk-parallel-item:last-child::after {\n",
|
|
" align-self: flex-start;\n",
|
|
" width: 50%;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-4 div.sk-parallel-item:only-child::after {\n",
|
|
" width: 0;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Serial-specific style estimator block */\n",
|
|
"\n",
|
|
"#sk-container-id-4 div.sk-serial {\n",
|
|
" display: flex;\n",
|
|
" flex-direction: column;\n",
|
|
" align-items: center;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" padding-right: 1em;\n",
|
|
" padding-left: 1em;\n",
|
|
"}\n",
|
|
"\n",
|
|
"\n",
|
|
"/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
|
|
"clickable and can be expanded/collapsed.\n",
|
|
"- Pipeline and ColumnTransformer use this feature and define the default style\n",
|
|
"- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
|
|
"*/\n",
|
|
"\n",
|
|
"/* Pipeline and ColumnTransformer style (default) */\n",
|
|
"\n",
|
|
"#sk-container-id-4 div.sk-toggleable {\n",
|
|
" /* Default theme specific background. It is overwritten whether we have a\n",
|
|
" specific estimator or a Pipeline/ColumnTransformer */\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Toggleable label */\n",
|
|
"#sk-container-id-4 label.sk-toggleable__label {\n",
|
|
" cursor: pointer;\n",
|
|
" display: flex;\n",
|
|
" width: 100%;\n",
|
|
" margin-bottom: 0;\n",
|
|
" padding: 0.5em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" text-align: center;\n",
|
|
" align-items: start;\n",
|
|
" justify-content: space-between;\n",
|
|
" gap: 0.5em;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-4 label.sk-toggleable__label .caption {\n",
|
|
" font-size: 0.6rem;\n",
|
|
" font-weight: lighter;\n",
|
|
" color: var(--sklearn-color-text-muted);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-4 label.sk-toggleable__label-arrow:before {\n",
|
|
" /* Arrow on the left of the label */\n",
|
|
" content: \"▸\";\n",
|
|
" float: left;\n",
|
|
" margin-right: 0.25em;\n",
|
|
" color: var(--sklearn-color-icon);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-4 label.sk-toggleable__label-arrow:hover:before {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Toggleable content - dropdown */\n",
|
|
"\n",
|
|
"#sk-container-id-4 div.sk-toggleable__content {\n",
|
|
" max-height: 0;\n",
|
|
" max-width: 0;\n",
|
|
" overflow: hidden;\n",
|
|
" text-align: left;\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-4 div.sk-toggleable__content.fitted {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-4 div.sk-toggleable__content pre {\n",
|
|
" margin: 0.2em;\n",
|
|
" border-radius: 0.25em;\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-4 div.sk-toggleable__content.fitted pre {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-4 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
|
|
" /* Expand drop-down */\n",
|
|
" max-height: 200px;\n",
|
|
" max-width: 100%;\n",
|
|
" overflow: auto;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-4 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
|
|
" content: \"▾\";\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Pipeline/ColumnTransformer-specific style */\n",
|
|
"\n",
|
|
"#sk-container-id-4 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-4 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator-specific style */\n",
|
|
"\n",
|
|
"/* Colorize estimator box */\n",
|
|
"#sk-container-id-4 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-4 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-4 div.sk-label label.sk-toggleable__label,\n",
|
|
"#sk-container-id-4 div.sk-label label {\n",
|
|
" /* The background is the default theme color */\n",
|
|
" color: var(--sklearn-color-text-on-default-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover, darken the color of the background */\n",
|
|
"#sk-container-id-4 div.sk-label:hover label.sk-toggleable__label {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Label box, darken color on hover, fitted */\n",
|
|
"#sk-container-id-4 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator label */\n",
|
|
"\n",
|
|
"#sk-container-id-4 div.sk-label label {\n",
|
|
" font-family: monospace;\n",
|
|
" font-weight: bold;\n",
|
|
" display: inline-block;\n",
|
|
" line-height: 1.2em;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-4 div.sk-label-container {\n",
|
|
" text-align: center;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator-specific */\n",
|
|
"#sk-container-id-4 div.sk-estimator {\n",
|
|
" font-family: monospace;\n",
|
|
" border: 1px dotted var(--sklearn-color-border-box);\n",
|
|
" border-radius: 0.25em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" margin-bottom: 0.5em;\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-4 div.sk-estimator.fitted {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* on hover */\n",
|
|
"#sk-container-id-4 div.sk-estimator:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-4 div.sk-estimator.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
|
|
"\n",
|
|
"/* Common style for \"i\" and \"?\" */\n",
|
|
"\n",
|
|
".sk-estimator-doc-link,\n",
|
|
"a:link.sk-estimator-doc-link,\n",
|
|
"a:visited.sk-estimator-doc-link {\n",
|
|
" float: right;\n",
|
|
" font-size: smaller;\n",
|
|
" line-height: 1em;\n",
|
|
" font-family: monospace;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" border-radius: 1em;\n",
|
|
" height: 1em;\n",
|
|
" width: 1em;\n",
|
|
" text-decoration: none !important;\n",
|
|
" margin-left: 0.5em;\n",
|
|
" text-align: center;\n",
|
|
" /* unfitted */\n",
|
|
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-unfitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link.fitted,\n",
|
|
"a:link.sk-estimator-doc-link.fitted,\n",
|
|
"a:visited.sk-estimator-doc-link.fitted {\n",
|
|
" /* fitted */\n",
|
|
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-fitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover */\n",
|
|
"div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
|
|
".sk-estimator-doc-link:hover,\n",
|
|
"div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
|
|
".sk-estimator-doc-link:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
|
|
".sk-estimator-doc-link.fitted:hover,\n",
|
|
"div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
|
|
".sk-estimator-doc-link.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Span, style for the box shown on hovering the info icon */\n",
|
|
".sk-estimator-doc-link span {\n",
|
|
" display: none;\n",
|
|
" z-index: 9999;\n",
|
|
" position: relative;\n",
|
|
" font-weight: normal;\n",
|
|
" right: .2ex;\n",
|
|
" padding: .5ex;\n",
|
|
" margin: .5ex;\n",
|
|
" width: min-content;\n",
|
|
" min-width: 20ex;\n",
|
|
" max-width: 50ex;\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" box-shadow: 2pt 2pt 4pt #999;\n",
|
|
" /* unfitted */\n",
|
|
" background: var(--sklearn-color-unfitted-level-0);\n",
|
|
" border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link.fitted span {\n",
|
|
" /* fitted */\n",
|
|
" background: var(--sklearn-color-fitted-level-0);\n",
|
|
" border: var(--sklearn-color-fitted-level-3);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link:hover span {\n",
|
|
" display: block;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* \"?\"-specific style due to the `<a>` HTML tag */\n",
|
|
"\n",
|
|
"#sk-container-id-4 a.estimator_doc_link {\n",
|
|
" float: right;\n",
|
|
" font-size: 1rem;\n",
|
|
" line-height: 1em;\n",
|
|
" font-family: monospace;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" border-radius: 1rem;\n",
|
|
" height: 1rem;\n",
|
|
" width: 1rem;\n",
|
|
" text-decoration: none;\n",
|
|
" /* unfitted */\n",
|
|
" color: var(--sklearn-color-unfitted-level-1);\n",
|
|
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-4 a.estimator_doc_link.fitted {\n",
|
|
" /* fitted */\n",
|
|
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-fitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover */\n",
|
|
"#sk-container-id-4 a.estimator_doc_link:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-4 a.estimator_doc_link.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-3);\n",
|
|
"}\n",
|
|
"</style><div id=\"sk-container-id-4\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LogisticRegression(class_weight='balanced')</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-4\" type=\"checkbox\" checked><label for=\"sk-estimator-id-4\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>LogisticRegression</div></div><div><a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.6/modules/generated/sklearn.linear_model.LogisticRegression.html\">?<span>Documentation for LogisticRegression</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></div></label><div class=\"sk-toggleable__content fitted\"><pre>LogisticRegression(class_weight='balanced')</pre></div> </div></div></div></div>"
|
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],
|
|
"text/plain": [
|
|
"LogisticRegression(class_weight='balanced')"
|
|
]
|
|
},
|
|
"execution_count": 81,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"from sklearn.linear_model import LogisticRegression\n",
|
|
"# YOUR CODE HERE\n",
|
|
"clf_balanced = LogisticRegression(class_weight=\"balanced\")\n",
|
|
"clf_balanced.fit(X_train_1d, y_train)\n",
|
|
"#raise NotImplementedError()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 82,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "1fea7d2b3c6c89155867794f7c43b1b3",
|
|
"grade": true,
|
|
"grade_id": "cell-5dea5e84c6b3f90f",
|
|
"locked": true,
|
|
"points": 0,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"clf_balanced defined.\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"check_var_defined('clf_balanced')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "56698708c8d07b85c23e96e74a5f7d02",
|
|
"grade": false,
|
|
"grade_id": "cell-0e177c0c3236c200",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"*Compute the decision boundary of the logistic regression model fitted by Scikit-Learn when weighting classes.* \n",
|
|
"\n",
|
|
"(Ensure your result is a scalar and not an array of length 1.)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 83,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "4e68b25af62c3c3b9ce3d88fe30e7246",
|
|
"grade": false,
|
|
"grade_id": "cell-8789a822ce94928b",
|
|
"locked": false,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"# YOUR CODE HERE\n",
|
|
"decision_boundary_sklearn_balanced = (clf_balanced.intercept_/clf_balanced.coef_)[0][0]\n",
|
|
"#raise NotImplementedError()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 84,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "b1830b90407271f2c1a3d024750d1368",
|
|
"grade": true,
|
|
"grade_id": "cell-6d9e2c731edfff2f",
|
|
"locked": true,
|
|
"points": 2,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"decision_boundary_sklearn_balanced defined.\n",
|
|
"decision_boundary_sklearn_balanced = -1.0591\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"check_var_defined('decision_boundary_sklearn_balanced')\n",
|
|
"assert not hasattr(decision_boundary_sklearn_balanced, \"__len__\")\n",
|
|
"print(\"decision_boundary_sklearn_balanced = {0:.4f}\".format(decision_boundary_sklearn_balanced))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "5c9b36e7743bfde53557b5426c4fb77f",
|
|
"grade": false,
|
|
"grade_id": "cell-3361e275fac9beac",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"*Evaluate the probabilities prediced by your new logistic regression model over the domain specified by the variable `X_1d_new`. Use variable `y_1d_proba_balanced` for your computed probabilities.*"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 85,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "e9f94c6ad6d1ed961f39c11ae5b8ac9e",
|
|
"grade": false,
|
|
"grade_id": "cell-3db9585a121a321b",
|
|
"locked": false,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"# YOUR CODE HERE\n",
|
|
"y_1d_proba_balanced = clf_balanced.predict_proba(X_1d_new)\n",
|
|
"#raise NotImplementedError()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 86,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "344d65536b5d89cf8b1fd6e93f527f66",
|
|
"grade": true,
|
|
"grade_id": "cell-b5df6903e536bc3e",
|
|
"locked": true,
|
|
"points": 1,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"y_1d_proba_balanced defined.\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"check_var_defined('y_1d_proba_balanced')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "acc5329742bc3574c6acb59d20110cb6",
|
|
"grade": false,
|
|
"grade_id": "cell-cef66593b1ed2e90",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"*For your new balanced model, plot the probability of a star being of type RR Lyrae against the colour variable considered. Also plot the probability of being a Background star. Overlay these plots on the scatter plot of class types. Also plot the decision boundary that you guessed previously, the one computed by Scikit-Learn initially, and the one computed by Scikit-Learn for your new balanced model.*"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 87,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "48606796161d04d156d3cba41a082cba",
|
|
"grade": true,
|
|
"grade_id": "cell-9ce627c16d3996e6",
|
|
"locked": false,
|
|
"points": 2,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"<matplotlib.legend.Legend at 0x783471a78f10>"
|
|
]
|
|
},
|
|
"execution_count": 87,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 1000x500 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"plot_scatter()\n",
|
|
"# YOUR CODE HERE\n",
|
|
"plt.plot(X_1d_new, y_1d_proba_balanced, label=[\"Background\", \"RR Lyrae\"])\n",
|
|
"plt.legend()\n",
|
|
"#raise NotImplementedError()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "a29c1deb02f416bb5859ea868d5f1ecf",
|
|
"grade": false,
|
|
"grade_id": "cell-b91a8e6743a0e23f",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"*Comment on the decision boundary of the balanced model compared to the unbalanced models fitted previously.*"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "963c36d881b371659186c7739c8a1a43",
|
|
"grade": true,
|
|
"grade_id": "cell-45725a6e2c43d0f1",
|
|
"locked": false,
|
|
"points": 1,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"source": [
|
|
"Now half the data would be predicted as RR Lyrae, which is still incorrect as there are far more background stars. Predicting in 1D will not work as the RR Lyrae class is intermixed in this dimension with bacground stars."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "f1f1759a78aff4f424286f2f577be5ec",
|
|
"grade": false,
|
|
"grade_id": "cell-a5126bea92958ffe",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"Now that we've built up good intuition surrounding the subtleties of the classification problem at hand in 1D, let's consider the 2D problem (we will keep to 2D for plotting convenience)."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "b853b8b820ed7b06e86b709642fba4c3",
|
|
"grade": false,
|
|
"grade_id": "cell-46205b5da6dd0e77",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"For the 2D case we consider the following colours."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 88,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "92a30f4f2db3010902ab7d521054bbff",
|
|
"grade": false,
|
|
"grade_id": "cell-11a94502070606e6",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"['u-g', 'g-r']"
|
|
]
|
|
},
|
|
"execution_count": 88,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"ind = 1\n",
|
|
"cols[:ind+1]"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "24955f013f80e7be059375dcbbecec30",
|
|
"grade": false,
|
|
"grade_id": "cell-ea66a8b2540e3455",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"Consider the following training and test data for the 2D problem."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 89,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "62e64cbf875c25da99467cb26c1f6c7a",
|
|
"grade": false,
|
|
"grade_id": "cell-374dd2ec4c108d9c",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"X_train_2d = X_train[:, :ind+1]\n",
|
|
"X_train_2d = X_train_2d.reshape(-1,ind+1)\n",
|
|
"X_test_2d = X_test[:, :ind+1]\n",
|
|
"X_test_2d = X_test_2d.reshape(-1,ind+1)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "be00d6c3427598d2d4a80466e56e4221",
|
|
"grade": false,
|
|
"grade_id": "cell-ead79764fa5bdc91",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"*Train a logistic regression model for this 2D problem. Use variable `clf_2d_logistic` for your classifier.*"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 90,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "084e3730086edc9f3a88b357a32f13b3",
|
|
"grade": false,
|
|
"grade_id": "cell-807bce2068c8c513",
|
|
"locked": false,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/html": [
|
|
"<style>#sk-container-id-5 {\n",
|
|
" /* Definition of color scheme common for light and dark mode */\n",
|
|
" --sklearn-color-text: #000;\n",
|
|
" --sklearn-color-text-muted: #666;\n",
|
|
" --sklearn-color-line: gray;\n",
|
|
" /* Definition of color scheme for unfitted estimators */\n",
|
|
" --sklearn-color-unfitted-level-0: #fff5e6;\n",
|
|
" --sklearn-color-unfitted-level-1: #f6e4d2;\n",
|
|
" --sklearn-color-unfitted-level-2: #ffe0b3;\n",
|
|
" --sklearn-color-unfitted-level-3: chocolate;\n",
|
|
" /* Definition of color scheme for fitted estimators */\n",
|
|
" --sklearn-color-fitted-level-0: #f0f8ff;\n",
|
|
" --sklearn-color-fitted-level-1: #d4ebff;\n",
|
|
" --sklearn-color-fitted-level-2: #b3dbfd;\n",
|
|
" --sklearn-color-fitted-level-3: cornflowerblue;\n",
|
|
"\n",
|
|
" /* Specific color for light theme */\n",
|
|
" --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
|
|
" --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
|
|
" --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
|
|
" --sklearn-color-icon: #696969;\n",
|
|
"\n",
|
|
" @media (prefers-color-scheme: dark) {\n",
|
|
" /* Redefinition of color scheme for dark theme */\n",
|
|
" --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
|
|
" --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
|
|
" --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
|
|
" --sklearn-color-icon: #878787;\n",
|
|
" }\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 pre {\n",
|
|
" padding: 0;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 input.sk-hidden--visually {\n",
|
|
" border: 0;\n",
|
|
" clip: rect(1px 1px 1px 1px);\n",
|
|
" clip: rect(1px, 1px, 1px, 1px);\n",
|
|
" height: 1px;\n",
|
|
" margin: -1px;\n",
|
|
" overflow: hidden;\n",
|
|
" padding: 0;\n",
|
|
" position: absolute;\n",
|
|
" width: 1px;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 div.sk-dashed-wrapped {\n",
|
|
" border: 1px dashed var(--sklearn-color-line);\n",
|
|
" margin: 0 0.4em 0.5em 0.4em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" padding-bottom: 0.4em;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 div.sk-container {\n",
|
|
" /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
|
|
" but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
|
|
" so we also need the `!important` here to be able to override the\n",
|
|
" default hidden behavior on the sphinx rendered scikit-learn.org.\n",
|
|
" See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
|
|
" display: inline-block !important;\n",
|
|
" position: relative;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 div.sk-text-repr-fallback {\n",
|
|
" display: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"div.sk-parallel-item,\n",
|
|
"div.sk-serial,\n",
|
|
"div.sk-item {\n",
|
|
" /* draw centered vertical line to link estimators */\n",
|
|
" background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
|
|
" background-size: 2px 100%;\n",
|
|
" background-repeat: no-repeat;\n",
|
|
" background-position: center center;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Parallel-specific style estimator block */\n",
|
|
"\n",
|
|
"#sk-container-id-5 div.sk-parallel-item::after {\n",
|
|
" content: \"\";\n",
|
|
" width: 100%;\n",
|
|
" border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
|
|
" flex-grow: 1;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 div.sk-parallel {\n",
|
|
" display: flex;\n",
|
|
" align-items: stretch;\n",
|
|
" justify-content: center;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" position: relative;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 div.sk-parallel-item {\n",
|
|
" display: flex;\n",
|
|
" flex-direction: column;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 div.sk-parallel-item:first-child::after {\n",
|
|
" align-self: flex-end;\n",
|
|
" width: 50%;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 div.sk-parallel-item:last-child::after {\n",
|
|
" align-self: flex-start;\n",
|
|
" width: 50%;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 div.sk-parallel-item:only-child::after {\n",
|
|
" width: 0;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Serial-specific style estimator block */\n",
|
|
"\n",
|
|
"#sk-container-id-5 div.sk-serial {\n",
|
|
" display: flex;\n",
|
|
" flex-direction: column;\n",
|
|
" align-items: center;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" padding-right: 1em;\n",
|
|
" padding-left: 1em;\n",
|
|
"}\n",
|
|
"\n",
|
|
"\n",
|
|
"/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
|
|
"clickable and can be expanded/collapsed.\n",
|
|
"- Pipeline and ColumnTransformer use this feature and define the default style\n",
|
|
"- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
|
|
"*/\n",
|
|
"\n",
|
|
"/* Pipeline and ColumnTransformer style (default) */\n",
|
|
"\n",
|
|
"#sk-container-id-5 div.sk-toggleable {\n",
|
|
" /* Default theme specific background. It is overwritten whether we have a\n",
|
|
" specific estimator or a Pipeline/ColumnTransformer */\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Toggleable label */\n",
|
|
"#sk-container-id-5 label.sk-toggleable__label {\n",
|
|
" cursor: pointer;\n",
|
|
" display: flex;\n",
|
|
" width: 100%;\n",
|
|
" margin-bottom: 0;\n",
|
|
" padding: 0.5em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" text-align: center;\n",
|
|
" align-items: start;\n",
|
|
" justify-content: space-between;\n",
|
|
" gap: 0.5em;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 label.sk-toggleable__label .caption {\n",
|
|
" font-size: 0.6rem;\n",
|
|
" font-weight: lighter;\n",
|
|
" color: var(--sklearn-color-text-muted);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 label.sk-toggleable__label-arrow:before {\n",
|
|
" /* Arrow on the left of the label */\n",
|
|
" content: \"▸\";\n",
|
|
" float: left;\n",
|
|
" margin-right: 0.25em;\n",
|
|
" color: var(--sklearn-color-icon);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 label.sk-toggleable__label-arrow:hover:before {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Toggleable content - dropdown */\n",
|
|
"\n",
|
|
"#sk-container-id-5 div.sk-toggleable__content {\n",
|
|
" max-height: 0;\n",
|
|
" max-width: 0;\n",
|
|
" overflow: hidden;\n",
|
|
" text-align: left;\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 div.sk-toggleable__content.fitted {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 div.sk-toggleable__content pre {\n",
|
|
" margin: 0.2em;\n",
|
|
" border-radius: 0.25em;\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 div.sk-toggleable__content.fitted pre {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
|
|
" /* Expand drop-down */\n",
|
|
" max-height: 200px;\n",
|
|
" max-width: 100%;\n",
|
|
" overflow: auto;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
|
|
" content: \"▾\";\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Pipeline/ColumnTransformer-specific style */\n",
|
|
"\n",
|
|
"#sk-container-id-5 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator-specific style */\n",
|
|
"\n",
|
|
"/* Colorize estimator box */\n",
|
|
"#sk-container-id-5 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 div.sk-label label.sk-toggleable__label,\n",
|
|
"#sk-container-id-5 div.sk-label label {\n",
|
|
" /* The background is the default theme color */\n",
|
|
" color: var(--sklearn-color-text-on-default-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover, darken the color of the background */\n",
|
|
"#sk-container-id-5 div.sk-label:hover label.sk-toggleable__label {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Label box, darken color on hover, fitted */\n",
|
|
"#sk-container-id-5 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator label */\n",
|
|
"\n",
|
|
"#sk-container-id-5 div.sk-label label {\n",
|
|
" font-family: monospace;\n",
|
|
" font-weight: bold;\n",
|
|
" display: inline-block;\n",
|
|
" line-height: 1.2em;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 div.sk-label-container {\n",
|
|
" text-align: center;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator-specific */\n",
|
|
"#sk-container-id-5 div.sk-estimator {\n",
|
|
" font-family: monospace;\n",
|
|
" border: 1px dotted var(--sklearn-color-border-box);\n",
|
|
" border-radius: 0.25em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" margin-bottom: 0.5em;\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 div.sk-estimator.fitted {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* on hover */\n",
|
|
"#sk-container-id-5 div.sk-estimator:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 div.sk-estimator.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
|
|
"\n",
|
|
"/* Common style for \"i\" and \"?\" */\n",
|
|
"\n",
|
|
".sk-estimator-doc-link,\n",
|
|
"a:link.sk-estimator-doc-link,\n",
|
|
"a:visited.sk-estimator-doc-link {\n",
|
|
" float: right;\n",
|
|
" font-size: smaller;\n",
|
|
" line-height: 1em;\n",
|
|
" font-family: monospace;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" border-radius: 1em;\n",
|
|
" height: 1em;\n",
|
|
" width: 1em;\n",
|
|
" text-decoration: none !important;\n",
|
|
" margin-left: 0.5em;\n",
|
|
" text-align: center;\n",
|
|
" /* unfitted */\n",
|
|
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-unfitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link.fitted,\n",
|
|
"a:link.sk-estimator-doc-link.fitted,\n",
|
|
"a:visited.sk-estimator-doc-link.fitted {\n",
|
|
" /* fitted */\n",
|
|
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-fitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover */\n",
|
|
"div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
|
|
".sk-estimator-doc-link:hover,\n",
|
|
"div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
|
|
".sk-estimator-doc-link:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
|
|
".sk-estimator-doc-link.fitted:hover,\n",
|
|
"div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
|
|
".sk-estimator-doc-link.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Span, style for the box shown on hovering the info icon */\n",
|
|
".sk-estimator-doc-link span {\n",
|
|
" display: none;\n",
|
|
" z-index: 9999;\n",
|
|
" position: relative;\n",
|
|
" font-weight: normal;\n",
|
|
" right: .2ex;\n",
|
|
" padding: .5ex;\n",
|
|
" margin: .5ex;\n",
|
|
" width: min-content;\n",
|
|
" min-width: 20ex;\n",
|
|
" max-width: 50ex;\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" box-shadow: 2pt 2pt 4pt #999;\n",
|
|
" /* unfitted */\n",
|
|
" background: var(--sklearn-color-unfitted-level-0);\n",
|
|
" border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link.fitted span {\n",
|
|
" /* fitted */\n",
|
|
" background: var(--sklearn-color-fitted-level-0);\n",
|
|
" border: var(--sklearn-color-fitted-level-3);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link:hover span {\n",
|
|
" display: block;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* \"?\"-specific style due to the `<a>` HTML tag */\n",
|
|
"\n",
|
|
"#sk-container-id-5 a.estimator_doc_link {\n",
|
|
" float: right;\n",
|
|
" font-size: 1rem;\n",
|
|
" line-height: 1em;\n",
|
|
" font-family: monospace;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" border-radius: 1rem;\n",
|
|
" height: 1rem;\n",
|
|
" width: 1rem;\n",
|
|
" text-decoration: none;\n",
|
|
" /* unfitted */\n",
|
|
" color: var(--sklearn-color-unfitted-level-1);\n",
|
|
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 a.estimator_doc_link.fitted {\n",
|
|
" /* fitted */\n",
|
|
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-fitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover */\n",
|
|
"#sk-container-id-5 a.estimator_doc_link:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-5 a.estimator_doc_link.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-3);\n",
|
|
"}\n",
|
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"</style><div id=\"sk-container-id-5\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LogisticRegression(class_weight='balanced')</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-5\" type=\"checkbox\" checked><label for=\"sk-estimator-id-5\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>LogisticRegression</div></div><div><a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.6/modules/generated/sklearn.linear_model.LogisticRegression.html\">?<span>Documentation for LogisticRegression</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></div></label><div class=\"sk-toggleable__content fitted\"><pre>LogisticRegression(class_weight='balanced')</pre></div> </div></div></div></div>"
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],
|
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"text/plain": [
|
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"LogisticRegression(class_weight='balanced')"
|
|
]
|
|
},
|
|
"execution_count": 90,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"# YOUR CODE HERE\n",
|
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"clf_2d_logistic = LogisticRegression(class_weight=\"balanced\")\n",
|
|
"clf_2d_logistic.fit(X_train_2d, y_train)\n",
|
|
"#raise NotImplementedError()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 91,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "e54724d2562c049fb17447ee0955fdcd",
|
|
"grade": true,
|
|
"grade_id": "cell-6d3421df624a8839",
|
|
"locked": true,
|
|
"points": 0,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"clf_2d_logistic defined.\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"check_var_defined('clf_2d_logistic')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "7b0cbcffdf52227ee932131fe0594f4d",
|
|
"grade": false,
|
|
"grade_id": "cell-d8af8aa1d07b0c2e",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"*Compute the precision and recall of your 2D logistic regression model. Use variables `precision_logistic` and `recall_logistic` for your results.*"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 97,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "a497d2e0107dba9c7bf6b8d6890b5d75",
|
|
"grade": false,
|
|
"grade_id": "cell-5aa20025d9dcd3de",
|
|
"locked": false,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"# YOUR CODE HERE\n",
|
|
"\n",
|
|
"# Make a Pandas dataframe of the test data and predictions\n",
|
|
"df = pd.DataFrame({\n",
|
|
" \"u-g\": [x[0] for x in X_test_2d],\n",
|
|
" \"g-r\": [x[1] for x in X_test_2d],\n",
|
|
" \"target\": pd.Series(y_test)\n",
|
|
"})\n",
|
|
"\n",
|
|
"# Make a prediction from the test data\n",
|
|
"y_pred_2d = clf_2d_logistic.predict(X_test_2d)\n",
|
|
"\n",
|
|
"df[\"prediction\"] = y_pred_2d\n",
|
|
"#print(test_df)\n",
|
|
"\n",
|
|
"# Precision = Tp/(Tp+Fp)\n",
|
|
"# Count number of true positives\n",
|
|
"positives = df[df[\"prediction\"] == 1]\n",
|
|
"true_positives = positives[positives[\"target\"] == 1]\n",
|
|
"false_positives = positives[positives[\"target\"] == 0]\n",
|
|
"#print(positives, true_positives, false_positives)\n",
|
|
"\n",
|
|
"Tp = len(true_positives)\n",
|
|
"Fp = len(false_positives)\n",
|
|
"precision_logistic = Tp/(Tp+Fp)\n",
|
|
"#print(precision_logistic)\n",
|
|
"\n",
|
|
"# Recall = Tp/(Tp+Fn)\n",
|
|
"negatives = df[df[\"prediction\"] == 0]\n",
|
|
"false_negatives = df[df[\"target\"] == 1]\n",
|
|
"\n",
|
|
"Fn = len(false_negatives)\n",
|
|
"recall_logistic = Tp/(Tp+Fn)\n",
|
|
"#print(recall_logistic)\n",
|
|
"\n",
|
|
"#raise NotImplementedError()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 98,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "89d58d5042e1fc392b449b7f0cb03e3b",
|
|
"grade": true,
|
|
"grade_id": "cell-901a95a71017f77a",
|
|
"locked": true,
|
|
"points": 1,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"precision_logistic defined.\n",
|
|
"precision_logistic = 0.136511\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"check_var_defined('precision_logistic')\n",
|
|
"print(\"precision_logistic = {0:.6f}\".format(precision_logistic))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 99,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "a8c0b5936c41a742cddef03152ffa57a",
|
|
"grade": true,
|
|
"grade_id": "cell-c829df4fb5b5646d",
|
|
"locked": true,
|
|
"points": 1,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"recall_logistic defined.\n",
|
|
"recall_logistic = 0.498024\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"check_var_defined('recall_logistic')\n",
|
|
"print(\"recall_logistic = {0:.6f}\".format(recall_logistic))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "9ba63808879ae626d04958a07df7be2e",
|
|
"grade": false,
|
|
"grade_id": "cell-e7757c51155e4dfc",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"Consider the following meshgrid defining the u-g and g-r colour domain of interest."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 100,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "936ae179349f4afb9f2e84f901b1ac39",
|
|
"grade": false,
|
|
"grade_id": "cell-c1045a44e953f715",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"xlim = (0.7, 1.45) # u-g\n",
|
|
"ylim = (-0.15, 0.4) # g-r\n",
|
|
"xx, yy = np.meshgrid(np.linspace(xlim[0], xlim[1], 100),\n",
|
|
" np.linspace(ylim[0], ylim[1], 100))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "f4172020874b0ca0808cef832529bb1c",
|
|
"grade": false,
|
|
"grade_id": "cell-7b3fd3dd9fb85196",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"*Over the domain specified above plot the predicted classification probability. Overlay on your plot the data instances, highlighting whether a RR Lyrae or background star, and the decision boundary.*"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 148,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "f86ab2a5e0c7bbae351fa52f20f7f928",
|
|
"grade": true,
|
|
"grade_id": "cell-cb93ed5cd3864d37",
|
|
"locked": false,
|
|
"points": 5,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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lJRJ79uwJcuXt2bMHTdMiWq8qSUpKwmq1omlaQIxGIjU1lW3btqHretDvItz7oSZpaWn89NNPFBUVNYmVqPJ9lp2dHfS8PR4P+/fvr/O5CATNCRFDJDjujBgxAlVVee+994LG58yZgyRJIaJk7dq1gXgKgIMHD/Ltt98yfPjwwDfQcN9E582bF4gxqslHH30UlN79wQcf4PP5mkQQWSyWkBTkSpKSkjjjjDNYsGABCxcu5PTTT4+qYvOZZ57J77//HpSa73Q6+fjjj0lNTQ0bS9NQDAYD1157LTt37uTbb7+tc35levvcuXNDUs4bwrhx45AkiSeeeIJ9+/bVGV9VHUVRkCQp6Pe+f//+kOdx3nnnoSgKL7/8cogFUdd1CgsLo7pezffwu+++C1Dn+0hRFEaPHs3XX3/Ntm3bQo5Xussq1zp8+HBQ7Fl5eTkff/xxnfs777zz0HWdl19+OeRY9edd23u2OqeddhpGo5F58+YFnf/pp59SUlIiMscELQphIRIcd0aOHMmQIUN4/vnnOXDgAFlZWaxYsYJvv/2WqVOnhqT8ZmZmcv311wel3QPccccdgTlnnXUW//nPf7DZbHTt2pV169axcuXKiN+KvV4v11xzDWPGjGHXrl28//77DBgwgHPOOafRz69nz56sWrWKt99+m9atW9OhQ4eg+J/x48dz5513AnDXXXdFteZNN93E4sWLufHGG5k8eTLx8fF88cUX7N+/n9mzZze5W3LChAm89NJLvPHGG1FV3L7++uu56667mD9/fkgQfTjmzJkT4kaSZZlbbrklIBqXLFmC3W4PaSFSG2eeeSZvv/02N9xwA+PGjSM/P5/333+ftLS0oLiVtLQ07r77bp599lkOHDjAueeei9VqZf/+/SxbtozLLrssqkrf+/fv55ZbbuGMM85g3bp1LFiwgHHjxtGtW7c6z50xYwZr1qzhsssu49JLL6Vr164UFxezceNGVq1axf/+9z8ALrvsMt577z0eeOABNm7cSEpKCv/5z3/CugxrMnToUC666CLmzZvHnj17OOOMM9A0jV9//ZUhQ4YEgsDres9WkpSUxM0338zLL7/MDTfcwMiRIwN/P717966XeBUIjjdCEAmOO7Is8+qrr/LSSy/x5ZdfMn/+fFJTU7n//vu57rrrQuYPGjSIfv368corr5CTk0PXrl156qmngm46f/nLX5BlmYULF+J2uzn11FMDN8ZwPPzwwyxcuJCXXnoJr9fL2LFj+etf/9qoGkSVPPjggzz88MO88MILuFwuLr744qCby9lnn018fDyapkUtwFq1asWHH37I008/zbvvvovb7SYrK4vXXnutXoIhWsxmM1dffTWzZ89mzZo1DBkypNb55513Hmlpabz11ltcdtlldcaOvP766yFjiqJwyy23AP6MvO+++44xY8bUK2B72LBhPPHEE7zxxhs8+eSTdOjQgXvvvZcDBw6EBPLedNNNpKenM2fOHF555RXAH081fPjwqBukvvDCC7z44os8++yzGAwGrr76au6///6ozm3VqhWffPIJr7zyCkuXLuWDDz4gISGBrl27BgqYgj+jbM6cOTz22GO8++67mM1mLrjgAkaMGBHx/V2dp556iqysLD799FNmzZpFXFwcvXr1Cqp7Vdd7tjp33HEHSUlJvPvuuzz11FPEx8dz2WWXcc899zR5pWyB4Ggi6c0pwlQgOAnx+XycccYZnH322Tz55JPHezvNkmXLljFt2jTee++9oFIDzQXRpFYgaPmIGCKB4DizbNkyCgoKGD9+/PHeSrPlk08+oWPHjgwYMOB4b0UgEJygtHhBtHPnTq699lr69evH8OHDmTVrVtiePrUxZ84csrKyuPnmm4/SLgWCUNavX8/HH3/MzJkz6dGjB4MHDz7eW2p2LF68mOeee47vv/+eKVOmNIkLUyAQCMLRomOIiouLmTp1Kunp6cyePZvc3FxmzpwZaNQZDXl5ebzyyiskJycf5d0KBMF88MEHLFiwgG7dujFz5szjvZ1myT333IPFYmHixIlceeWVx3s7AoHgBKZFxxC9/vrrvPbaa3z33XeB7KGPPvqIRx99lO+++y6kZUQ47r//fiRJIicnB4vFEja4UyAQCAQCwYlNi3aZLV++nGHDhgWlUo8ZMwZN01ixYkWd5//yyy8sW7aMGTNmHMVdCgQCgUAgaO60aEGUnZ0d0kPHbreTkpISqNgbCVVVeeyxx7jlllto3br10dymQCAQCAQnNQ2N9y0pKeFvf/sbQ4YMoW/fvkyePJnNmzeHXf/GG2+kX79+DBo0iPvuuy+ooGk0tGhB5HA4sNvtIePx8fEUFxfXeu77779PeXk511xzzVHanUAgEAgEgsp4X6/Xy+zZs5k+fXogoaQu7rnnHpYtW8Z9993Hiy++iKIoTJ06lYMHDwbmlJaWMnXqVAoKCnjmmWd45JFH+PXXX7n55psDfQKjoUUHVTeU/Px8XnrpJf75z382WVfuSnyqxpGi8iZdUyAQCKJDAhoWFipJEiajCbcn+nYrkiRhNCh4vL4GXdNo8JJgK0ZRVHRdQlMT0DUr1Z+DVPmzHm6MoLlVc8KNRflzXY8rfg6eogf9V/36VVsKXlNJTEZSjv4tWPP5cO07WPfEOjB3bIdsaNh+P/zwQ8rKynj55ZcDIS6qqvLoo49y8803R4z3XbduHcuXL+fVV18NFEcdMmQI55xzDm+++SZ//etfAb+Bo6SkhC+++IJWrVoB0KlTJyZOnMi3337LqFGjotpnixZEdrs9bLPO4uLiWps/vvjii2RlZTFw4MBAvx6fz4fP58PhcGCxWDA08Bd/pKicG59c1qBzBQKB4HjSp0dPft+0se6JjUbnT0O/4aaL30BRfOTkteOVjx/i1pEjkGUJRfMia36RJesqsupF0vz96GSt6mdJ9SGrFT0IVRWp4mdJU8FXNR74ueI8vF7w+dfXK/rc6dXma95q5wJaheDTfZWPvUHjYY/5qiwTqsdbca2qsTaPzMaY0rZ+L1sDcO07yPc9oxMEtXHWxqVYOnese2IYIsX7PvLII6xYsYIJEyaEPW/Tpk1IksTw4cMDY7GxsQwcOJDvvvsuIIg2bdpEt27dAmIIoHfv3iQkJPDf//735BBEXbp0CYkVKikpIS8vLyS2qDq7du3i559/ZtCgQSHHBg0axBtvvHHUu5wLBAJBc2Pz9m2YTEY8Hm/dk6shSaFGlUjEGN3ceslrnDPoOwBWbRjCCx/eidNlZXsPFz3aGpA1H7JeIYDCiCFJ9QWOVYoWqdq8iGKoUuhUE0PVhRBQbzFUOR50rEIMqdVex+piSK3n69tcyMnJYfLkyRGPR2r+nJ2dzSWXXBI0Fk28r8fjQZblkNY/RqORAwcO4HK5MJvNuN3usN4ek8lUZzxxdVq0IBoxYgSvvfZaUCzRkiVLkGU5SFHW5M9//nNIJ+cnn3wSs9nMPffcQ1ZW1lHdt0AgEDRHvN6G3aijFUPtWuXw0NRZdG6/G1WTmbt4Mp9/Px6/qw8cJW7k1lVWIfBbe2St6ueoxJBa7efqViEAny+sVQgaLoa0aq9bsxNDEiixtfcSjHadhtLQeN9OnTqhqiqbNm2iT58+AGiaxh9//IGu6zgcDsxmM+np6cyfPz8gkMAv3vLy8rBYLFHvs0ULokmTJjFv3jymTZvGzTffTG5uLrNmzWLSpElBPsmpU6eSk5PD0qVLAejevXvIWna7HYvFUmfTSoFAIBCEMqRXKpt35eEoC80cspoVenddwd2TXsIa66TQkcCsd2fwx87eQfM+XF2EWY5jcEd/vk+lGKq3iwxCxdBxcJH5rxcqkFSPr6GhXseV9u3bR7QCHQ2GDx9OWloajzzyCP/85z9JTk7m//7v/9i3bx9AoHL9pZdeyjvvvMPDDz/MjBkzcLlc/O1vf0OW5XpVt2/Rgig+Pp65c+fy2GOPMW3aNKxWKxMnTmT69OlB8zRNQ1XVCKsIBAKBoLF075zIuNM6svugg1KnC6fLgy1WJtEqM7jnv0hO/j8ANmZ3Z9a8+yhwhDbBLXXrvPydgztHmBmUZmx8vFAYFxlUiKGj4CKD8PFCIWLoJKOh8b4mk4nnn3+eGTNmcMEFFwCQmZnJ1KlTmTdvXiAmqUuXLjzxxBM88cQT/Oc//wHgvPPOY8SIEZSVlUW9zxYtiAAyMjKYM2dOrXPmzZtX5zrRzBEIBAJBKHariYx2NoyKxikdbMiSBQUVo3KINm3uwhK7GoDPv7+QuYunoGq133re/cXFoPY6Elr9XWRw1OOFGuoiCxZDLdBE1EAaGu8L0KtXL5YsWcKePXvQdZ309HT+8Y9/0LNnT4xGY2De+PHjOf/889m9ezfx8fG0adOGsWPHBrLToqHFCyKBQCAQRKZX915kpHdm+85tbMveic/X9BaKccPTMSoasuQXAgoqFvNq2ra5A4PhMJpmofDQYxhcpxFryqPUVXttmAInbM310bOVFtkqBI2PF6pDCNV2rN4usmqo3uhr4zQWSZYwxjU+hkiSGx5E1NB438C1JYn09HQACgoK+PLLL7nvvvtC5plMJjIzMwFYtWoVu3fv5uKLL456n0IQCQQCwQmKyWQi3m5n05aN7D2wv8nFULzVxNjh6fTJSECWNBRUQCfB/gatWs1EllRKy7rgyH0evOkM6AyqN543vy+sc+0ip4pcYR1qkpT6ZuAiO5ZCqDnR0HhfgFdffZVOnTqRnJzMrl27eP311+nVq1dQqr7T6WT27NkMGjSImJgY1q1bx//93/9x++2312mBqo4QRAKBQHCCoqoqK9asbPJ1R5zakVNS48hob0WWpYAYkqRSYi130TrFX4vth9/O4OVPbiPWKHPZaWUM6mQiOTa6aySZ1GbjIgs61kAXWXUxpHp8UWfmnQg0Jt7X4XDwz3/+k/z8fFq3bs2FF17IbbfdhixXNdqQZZlt27Yxf/58nE4nXbp04ZFHHolY3ygSLbrbfXPkUH6ZKMwoEAhOWOxWE/dddWqIi8xs3Exi8i3EWXfj9Rn494Lr+HLFGKrna08bmcCAjgbu/SSfAmfkW09yrM7LozzIUstNqa9NDAF0eXkupjbtIr4GTUX53v2sGnF+o9cZtvxLYtM6NMGOmi/CQiQQCAQnOV07tWbHnsNRzQ0XL2S3fU7rlIeQ5XLyipL559z72bo3tJ7bB2scDGofx1WDYpn9gzPM6n6RNLWXD0VrpIusYv6xqDodrYssKJboWNkiJFBim6BtaSPqELUUhCASCASCk5x9B+uO6QkfL+ShdavHSIh/B4C12/ryzLv34CgLn0pdUKax7ZCHwR0N3H2GkXd+8VJQrfVjcqxfDA1t4++n1pJT6msTQ5ov2C0kaB4IQSQQCAQnOe4oqidPHNmZUzrEB8SQUdlPu7a3YzavBWDzjmv5+/+NQ9Nrz2gqdvqQNZ3BqTCoDWzJg2KnSoJJpXuyjqLVz0UGzS+lPpyLrGpNIYaaK0IQCQQCwUmMOcaAy1139pnT5QmIIWvsctq2uRNFKURV7RQeepKD+wej6Tl1rpMQW9WCQ9F89EoGEiqyyLQoq05Do1Pqm7TqdDWamxiSJDCYmyDt/iRwmTWBY1EgEAgELZUBPdKimpdgUVDwkpzwEu3bTUVRCnG7enB474d4Ss8gs42JRGvtN95kC3RP1utXdTpcC46aYkhVA/FC9RFDuk+NOl6oLjGkerWIYkjzqUFiyOdWT6oss5aCEEQCgUBwEhJnjWHCOb04vX8n4qwxtc5NsBnpmqqS2vZ6kpOfRZI0SoonkrdvLronFUXzYsTHlUPial1nSl9QKhu3VoiYyiyygBiqGA+JF6oRPK37vE0SLxQQUQS7yBoaL6R6fLXGC/ncwmXWXBEuM4FAIDhJMBkVep2SyimdWpHeLh6DogM6Y07L4OOlmyKed82fHHROG4fRuA9dM1F4+C84HROQdS2QDSZrPgZ1MnLHmRbe+7k8KK0+2eIXQ4M7SEe9S32tAdJNEC/UGBeZEEPNGyGIBAKB4CTh3GHd6Nm1HQa5Km3eIGn07JLEledlsmjF7qBu9Qk2I3df+j/693gKWfbg9XagIOc5VFcWMn4xJGsVvcYqLD+DOyoMTLWyLddNsVMjwQzdk/1Vpzcfkihy6iQaNf+YfmKm1DcrISRJGMxNcKs/CYKIhCASCASCk4QEmykghgwVgsj/s0qfjAR6de7LnkPFlDrdJNhUhvWeRXz8xwA4y86i8ODjSKrfLVYphmTdf7OXq1l7DPjomQIgI6k+ft6rMme9QoFLAhTASLJZ49qsUoa0IaqU+uZcdbo60YghkWnWPBGCSCAQCE4C4qwxdGybEBBDVRYiFUWqEDKKTmaqFZPhMG3bTsMcsxFdl3Hk305JwfXIOkEuskqrEPgDouVqxRQru9T/vNfHc2tCw1XzXRLPrI/j3t7FDElyteiq01Vr1i6GhBBq3ghBJBAIBCcB5w3rikHRA2LIUCGCFEkNqjpts3xDm9YzUBQHqppIwcF/4nYOC8QL1XSRQZUYqrQQVWaRaTrMWV+ZeVbT5SIBOm9vszFwUDGKxHFzkfmvV3cWWXWEGDrxEIJIIBAITiAkKbgrRJw1hvOGdaVXl2QgvBjyV51WaZX0LEmJrwDgdvWlIOcZdG/roHihcC6ycGIIYPNhjQJXbbcZiXy3gS35BnrGl58QVaejdpEdo7x7SQLF1PiE8pMghEgIIoFAIDiRGHdmHyyxBspdLmyxMXRqZ8ek6GFdZJViyCAfpm2bu7BYVgLgKLoax+F7kHUlxEUGVWIonIusehZZUS0NXKtT6FVOiKrT0ViFfFEUwRQcH4QgEggEghMAmyWGkUO6kdU5JSSLrKYYqu4ii435hbZtb8doOIimxVKY+3fKS84PSamPJl6oZkp9kim6vSfKngal1AcJnkgi6RhVnRZiqOUjBJFAIBC0cIb17cJp/Tsjy1LELDKo6SLTSbTPoVWrJ5AkL15PZ/JznkNzd4mYUl+Xi6xm1eludi/JMbHku2XCt0vXSTb66GYp8T9qRLxQc3eRCTHU/BGCSCAQCFo4ae0TMBn8RRbDiaGaLjJJctI25X7i4hYCUFY6mqKDjyJpsUDtKfWVYiiSVahynur1sqXQyNDWLhbvswA6waLI7067psNBJNXrf3SCptSHE0PHrHWHJGGIEXWIokEIIoFAIGjhlLtctbrIoEoMxRi307btbcSYtqHrBorz7qG06GpkXW+0i6xSDK05IPH2lkTy3VW9zWR0qttdko1erulwiMG2Av/ASRQvpHq0sOOC44sQRAKBQNDCsVuMAHWm1MdZF9Km9QPIchk+XwoFOc/gcZ3aoJR6IGxj1jW5Jp5ZH9rTzL8LnbGtCxhod9Dd5gyc25yrTvvXFWLoZEAIIoFAIGjBmIwKndvZkSOIIX+8kJeU5KdITHgTAJdzMAUH/wm+pAan1IcTQ6oOb2+xVuwsfN2h1YVxTG5/yH/uCZpSH04MHU8hJBuUuicJhCASCASClsyw3qmBJq3hXGRGJYe2be4gNvYXAIoLb6Qk7zZkXW5USn24xqxbCo1BbrJQJPK9JjYVx9Az1gUIF5mg+SAEkUAgELRQTAaZswZ0BMKn1FvMK2nb5g4MhiNoqo2CQ4/jKjsnKhdZ5c91WYUqxwEKy6OLFC7yyBBbIWrqEEK1HWsJKfVCDLUchCASCASC44jJaOSsYadiUMDtdvHjzxvxeMPfXGty8dmZmJQKAVQjpT4p4TWSk55GklQ87iwKcp5F83RsspT6cF3qEw3RCaJ4XFGJoZbsIvOvHV4M+Vy+Y5hmJogWIYgEAoHgODJiSB86pfqLKR7KOxK1GLr03Cz6ZCSGuMhk2UHblBnYbN8AUOq4iOLcvyBpMbW6yPzj0aXUU62lRvUu9d0sLpJNXvI9BiLWHTJ46BbraHEusnBz/PPqFy/kcx3bekSSBIaYxscQnQRZ9zS+wYlAIBAI6k2Myci5pw+gc8d2GGQNg6LjLHdHde7QXu3p1zUpYBWqFENm0x+kpY7DZvsGXTdSmPswRYceCyuGZNUbFC/UYDGkqf5/Xi+KBNd2zK3YZU0LiP/xlJTdyFqVGNJ9arMXQ5pPDTPH1+zFkKB+CAuRQCAQHGOMBoUrLxqF2QTgF0OypGOzRNfromfnhJB4oXjbp6Sk/AVZduHztic/5zlUV3dk9CZLqa8cr24VAoK61A+2FzOjs8bb+9tS4K16PskGD1OSsxkcW9BsUuqPqYtM0OwRgkggEAiOMV6fSn5hPqltkgNiCCCtbQI2SwylzsiWonirCU338c3/9iKjk5lqYljfZ0lIeB+A8rIzKDz4JKh2ILqq01BNDEWyCkGoGKq03NToUj/YVsDArnlsdtoocMskKl66mQqRpROz6rSwCp0YCEEkEAgExwG32xUQQwa5stWGznnDTmH+t39EPK/c7ePtRdsASEk8zPmnzyIhYQe6LlFccDul+Tcg64SNF8LrYcshD8VOHwmx0D1ZDxJKUbvIIEgMhWvMKkvQ3VQIJlpcvFBTZZE1CzEkSU1Th+gkCCISgkggEAiOAzaLKSCGAq02ZI3uXVpxidSTpau24yjzBOZbzAacLh+eCoFwatZvzLjqeezWEhxlcTzz3j0MSvsTAzoT1kX28x4P7/1cToGzKrYnKRau6aMyJFWvM6U+RAzVsAqF7VJ/HFLqm0PV6WiEkEgya34IQSQQCATHgex9h0lvnxgkhiobs/bqkkyvzgnsP1RIidOL3SLz0bIdAEiSxuWjPuaKUR8hyzrb93blqXfuJ6+wNbv3H2Fgx7bIVFh9KsTQL7tdzF7uCtlDQbnOc2tk7hnkY2ib+scLBYmhk6jqtH/thokhnyv0GicDO3fu5PHHH2ft2rVYrVYuuugi7r77bkym2uPmCgsLef7551m+fDlFRUV06NCBq666iiuuuCJo3i+//MKLL77Ili1bkGWZ3r17M2PGDLp37x71HoUgEggEguPA2k176NjGTs+MFIDQLvWyxikdbADsyimipFwlzuJgxpUvMKD7bwB8ufJPvPHF9fhUfy+zwjKVHQed9Gjr/2iXVS+6z8e7v4SKIT/+dhpzNygMbqWiSERMqQ8XLxTWKhT0WLjIgo8fezEkSaCYGn+rb4zHrLi4mKlTp5Kens7s2bPJzc1l5syZuFwuHn744VrPveuuu8jOzuaee+6hXbt2LF++nL///e8oisJll10GQHZ2Ntdffz1Dhw7l2WefxePx8Prrr3PNNdewaNEiUlJSotqnEEQCgUBwnFi2ags9uyQhy1JQl3pZ97H7YBGl5W7sFiMlpW5O6bidB6fMonVSHm6PiVc+vZXvfj07ZE2H04es+v0xkqayNddNgbO2XUjkuyS2FCj0jHc1KF4IgsVQQ1xkULsYau5Vp5ujGGoufPjhh5SVlfHyyy+TkJAAgKqqPProo9x88820adMm7Hl5eXmsWbOGp556igkTJgAwbNgwNmzYwOLFiwOCaNmyZei6zosvvojZbAYgKyuLc889lxUrVjB+/Pio9ikEkUAgEBwnnC4v+w4VkZEaH2jMujE7n8UrdlMciB/SufCMpfzz9v/DaPCRk9eOp+Y+wO6D6WHXTIzRqNBVyJqXYmd0rSMKnRrY6uEig2bdpV64yJoPy5cvZ9iwYQExBDBmzBgeeeQRVqxYERA7NfFVvO/i4uKCxm02G05nlcr3er2YTCZiYmICYzXPiQYhiAQCgeA44ix3B8TQ5l15vP/NjsCxGKObWy95jXMGfQfAqg1DeOHDO3G6rGHXSrJIdGvl921UptQnmqK7IScafcfMRRZ07AROqT/RxFBOTg6TJ0+OePzbb78NO56dnc0ll1wSNGa320lJSSE7Ozvieu3ateP000/ntddeo3PnzrRt25bly5ezYsUKnnnmmcC8sWPH8u9//5sXXniBa665Bo/Hw3PPPUe7du0455xzon5+QhAJBALBccRuNWCQVCTdx8Kf9gbG27XK4aGps+jcfjeqJjN38WQ+/3484Vti+Ll6YAwGfKBVNWbtlgJJsToF5UQ4Vyc5RqObzdlgF5n/sYgXCj7eXMSQhGJsiqYU/nizhuBwOLDb7SHj8fHxFBcX13ru7NmzmT59OmPHjgVAURT++te/Mnr06MCc9PR05syZw2233cZrr70GQGpqKm+//Xa9LEVCEAkEAsFxIt5qIqOdDUVS2XWwOOAmG9prNXdPeglrrJNCRwKz3p3BHzt7A2A2Sri8wTcmW4zEdUNiGNKBkEKLMnBNL53nfjbgv6FVF0X+da7NKETRq4mh4+Ai81/vxEipbz5iqGlp3759RCvQ0UDXdR566CF2797Ns88+S0pKCitXruTJJ58kPj4+IJJ27drFHXfcwfDhwxk/fjxut5u33nqLG2+8kQ8//JBWrVpFdT0hiAQCgeA4Mea0ThgVfzB1qdONLKtMHvMuE0d+DsDG7O7MmncfBY6kwDlXD4sjMRa2HPIiaRo9Wkt0b2PAgC9iC46hbbzMGOBjzsYY8l1Vgig5RuXajCKGJJdFrDp9sqXUHzOr0ElUh8hut1NSUhIyXlxcTHx8fMTzvv/+e5YsWcKCBQvIysoCYMiQIeTn5zNz5syAIHr++edp1aoVs2bNCpw7ePBgzj77bN555x3uueeeqPYpBJFAIBAcJ75auQejrNEvw07r+EIeu/kR+nT1V6n+/PsLmbt4CqoW/DGdbJHo3s5E7zZyoBcZFWIoUmNWTVWJM8CVXUtxuMFu1Ek2eugW7/ZbhkRKfcXaR18MqeXRBbmfSHTp0iUkVqikpIS8vDy6dOkS8bwdO3agKAqZmZlB4927d+eTTz6hvLyc2NhYduzYQb9+/YLmWK1W0tLS2Lt3L9EiBJFAIBAcJ4rLPMz7eidtLi9gxKAHMRgO43SZefGjO1n5+2kh85OsMt1bEdSlHggrhiqrTv8vR+LtTXHku6riSJJNPq7NCBVDza3qNAgx1GiaqA5RLaFrdTJixAhee+21oFiiJUuWIMsyw4cPj3heamoqqqqydetWunXrFhjfuHEjycnJxMbGAn5X3ubNm9F1HamiYFJpaSl79uxhyJAhUe+zKSKtBAKBQNAgdC4asYDTB9yAwXAYR2ln7nnh2bBiCOCqgWYUtKAu9ZViSFa9YcXQM79ZgtxkAPkehWc2p7Am1+S3CtUUQ6oaiBeKRgxpXh+a14fuU6NOqY8mXiiSGNJ8apDY8bnVoxYvVJsY8rnU5i2GmgmTJk3CarUybdo0fvrpJz777DNmzZrFpEmTgmoQTZ06lVGjRgUejxgxgvbt23PnnXfyn//8h1WrVvH000/z+eefc/XVVwetv2nTJu69916WL1/OsmXLuOmmm/B4PFx66aVR71NYiAQCgeA4EBtTzp2Xz+b0visBOJg7Gs3xD8b1U/l4ZT6FZVU32iSrzFUDzQzu6G/SGRBDEVxkkqai6vD2RlvFCjW/3vszht7e1YqBfYqRtRPHRRZujn/e8YkXOpmFUCXx8fHMnTuXxx57jGnTpmG1Wpk4cSLTp08PmqdpGqpa9brabDbmzJnD888/zzPPPENJSQkdOnTgwQcfDBJE5557Li+88AJvvvkm06dPx2g00qNHD9555x3S09Oj3qek66LFXFNyKL+MG59cdry3IRAImjFpbfby0DX/pEPrA3h9Bv694DramqcyJMOGonnRNJ0dB504nD4SYzSyWhtQ0Gp1kUFwl/qNh+Hvv0QOWK3kka676BFbkfpcixgKGyDdzMRQS3KRDVv+JbFpHaJapzH4juRy6O+3N3qdtn9/GUOr8BWlTxSEhUggEAiOISP6L+eOS1/BHOMmryiZf869n617s7hnnBLoUi8DPdoaKlpwKEEuMgjNIgvXpb6w3BjVfgrdEsTSoqpOw/FJqa9PFpmwDLU8hCASCASCemAyGvBUEwRx1hjOG9YVRdL5asV2SpxVN3xLjMJFI9L4cuV+ylxOrrtgDhecsRiAddv68PS7M3CUxZNoVejWWvGLoYp6QHI1a099xRCqSqIhOuN/guxukBg6Win1wkUmOF4IQSQQCAT1oLoYijEqdEtPxmZWSG8XR/f0wew/VEhZuZs4i5GM9laMskZi7EE6d/or3dK3AvDR0kt5/+tJaLo/JmjS0AQMqCFiqD4usppd6rvF+7PJ8j0KEStUG7x0t5S22HihluQiEzR/hCASCASCBuL2qvy8MYefN+Zgt5oYNzydPhkJyJIFAAUVa+xyzjv9ThSlkLJyK8++dzc/bx4EQKJV4cohcQzoZETW1YDlJ5wYisYqBAS61CvAtel5PLOtLZEqVE9tuy9ISB3LlPoTrep0cxZDkiISyqNBCCKBQCBoAhxlHt7/ZhvK6Az6ZdgBjeSEl0lKeh5J0nC7elCU8wxnZCTRp51Koln3u8lkKSCGGuMiC9elfoi9nHszVN7e24Z8b1VMUbLBy5SUXQyKLTzuLrKax1pil/rmLIYE0SMEkUAgEDQhC1fspV9GB1LbTsdq/S8AJcUTKT78ALJmokdbL2CoihfSw8cL1ddFBoTtUj/YXsyArCNsLrNR5JFJMHjJMhYiS7Q4F1m4Of55LS9eSNdEgndzQwgigUAgaEKS4rfSof1NWGIPoGsmCg//BadjArKuoVS4wSrFUG0uMqiHGKqjS70sQc/YYogNTqlviIsMohdDoup0KN6SevQ7ExxThCASCASCWogxGXB76o41ATh38DJunfA6JqMXr7cDBTnPobqykNECKfXAUXORVVqFVJ/K5lILhW6JBIOP7ubikFij5ppSfyK7yI6LGJIkFFN0JRjqWudERwgigUAgqIXRw7qycPkWaithazK4uXnCG5w3xF+UNS//DDyFTyGpcQBV9YWiTamPZBWCUDFUw0W2Ot/C2/vbUuA1BfaXZHAzNWU3g2OP+E9rRLyQcJE1DGEZav4IQSQQCAS1sOCHLbUeb5N0iIemziKjQzaqJjP/v1cxpMMMDJJ0zF1ka4rieHZXx5A9FvhMPH8wk+ltNAaaDgPNP17oRHGRgRBDLYUWL4h27tzJ448/ztq1a7FarVx00UXcfffdmEymWs+79957+f333zl8+DBGo5HMzExuvfVWTj/99GO0c4FA0FhkWUHTjt/NZlD3n7nnyhewWcooLrXz9LszGNRpFDsPuigp85Bo1slsY0KWtBAxVG8XGYSKoQqrkK6qaDq8vb9txc7C9y6be6Qz/VMOIksNd5H5rydS6qOhOQghSQLZ0Pi0+5PAY9ayBVFxcTFTp04lPT2d2bNnk5uby8yZM3G5XDz88MO1nuv1ernmmmtIT0/H7Xbz6aefctNNN/HOO+8wcODAY/QMBAJBQ2nbuj1FxQW4wrhZjjaypHLl6A+5fNQnAGzZncXMd+4jNaEjn67Kp6haY9ZEi8zVg0Ibs0LTxAtVBk9vKo4JcpOFIlGgmtniSaCbnOdfrgWn1B8LqxC0bDEkqB8tWhB9+OGHlJWV8fLLL5OQkACAqqo8+uij3HzzzbRpE7kR3Ysvvhj0eMSIEZxzzjn85z//EYJIIGgBHDqcc1yua7cWc9/Vz9Iv83cAFv44lrcWXoNPNZJfXB4yv9CpMfsHJ3efYWRQR39fMt3nZUseFDtVEkwa3ZN1FK3+KfW6WtWlvsgTG9X+C70KxAgXWV0IF9nJR4sWRMuXL2fYsGEBMQQwZswYHnnkEVasWMGECROiXktRFOLi4vBW+1AQCASC6mSlbeWBqbNIScjH5Y5h9ifTWL52RFTn/vt/Xga20/lln4+566CgHEABFJLNGtf28DGkLfVOqQdAVUkwRPfZlSC5m7zqNAgxBEIItXRatCDKzs7mkksuCRqz2+2kpKSQnZ1d5/m6rqOqKiUlJcyfP589e/bwj3/842htVyAQtFh0xg7/khsufBuDwcf+w6k8NecB9uamRb1CqRs+/8PHZ5sq09WqgjLyXRLP/Gbh3r4lDGkVnYusuhjSvP5ii0mKmwLVRKTeZUmSi1PIqzhfpNSHvcYJJ4YkZGMTpN2HfU+dWLRoQeRwOLDb7SHj8fHxFBcX13n+p59+yl//+lcALBYLzz//PP3792/yfQoEgpZLjMnF7Zf+i7NOXQ7AT+tP46WP7qDcHZ2Lqjpfbg0VQ1WPdd7eYmXgEAeKRJ0usqp6QpWZbCpTW2XzfG43IvUuuzJ2E5KqUrkLkVJf7RrCRXbS06IFUWM555xz6NatG4WFhSxZsoS7776bl19+mTPPPPN4b00gEDQDUlMO8NDUf9Kp3V58qsLbC6ey4McLaOi35XK1tvMk8t0KWwoN9Exw1+kig+Cq0wADTYe5O1njncIMCjRzYOUkycWVsZsYIB0IPg8RLwRCDAn8tGhBZLfbKSkpCRkvLi4mPj6+zvOTkpJISkoC/EHVxcXFPP3000IQCQQCTuuzkrsufwmL2UV+cSKz5t3Hpl09kCRqLdLYWAo9SlQussqfIThAeqApl36J+9nqTaTQayRedpGlFCCpx95FBiKlXtByaNGCqEuXLiGxQiUlJeTl5dGlS5d6r9ezZ0+WL1/eVNsTCAQtEEX2MXXsO1x81gIAft/Ri6ffnUFRSSLQcDFkkjU8Wt31YBJlT3gxFMEqFC5AWpYgS8oDU8V4xb27pcQLCatQEyKBZFCaZJ0TncZXazqOjBgxgpUrV+JwOAJjS5YsQZZlhg8fXu/1fv31Vzp2DK3yKhAITg6S7AU8cevfAmLo0/9O4G+vPxoQQ5Wc1yOWREu0H586oHNbn3KSzRoQSVHpJJu8dLP4rd6V8UL1FUORxsPFCzVUDKkeX73EkOZTw8zxCTEkaFa0aAvRpEmTmDdvHtOmTePmm28mNzeXWbNmMWnSpKAaRFOnTiUnJ4elS5cC8P333/PFF19w1lln0a5dO4qLi1m0aBE//fQTzz333PF6OgKB4DjSq8sfPDDlGRLiiigrt/DCh3ey+o+hYedajRrPT4hj2yEPxU4fh0o0PtsQ+UZ5YWc3w9v7MOilPLM+jkhBz9d2zEXW/EHPYeOF6hBCtR0TKfUV1xAuMkEEWrQgio+PZ+7cuTz22GNMmzYNq9XKxIkTmT59etA8TdNQ1ao3c8eOHfF4PDz77LMUFhaSmJhIVlYW8+bNY/Dgwcf6aQgEguOKzsVnfcHU8+ehKBp7D6Xz+Nv3c/BI+4hnfL7eTcd4iSEdQNIAZNJsKnPX6RSUVwkdu1Hjhl7lDEspBx8MaaVybw8Pb+9IIN9T9fGbbPRxbVoug+3+7Fjd50XzqWx22ihwyyQqXrqZXBUtNxremBWap4vMv7ZIqRccXyRdP5rhgScfh/LLuPHJZcd7GwKBIAos5jLunvQSw3qvAaDUcRHLV9/Nq1/XXbYjyQIvjTOgVOtgr/lUNudLFDk1kkw+uiWpKNUatlbWF1JVlS35Bgq9Comyh25xTr9lqOL4msI45hzqSIGvWsd6xc2UhB0Mshxp9o1Zw83xzxMuskrO+HUJlvSjH6KhFh7B8VrtrayiwX7LP1ASWzXBjpovLdpCJBAIBA0lvd1uHrvpGRLs+9E1I1u338vmneNIiFW4sL/GgrWhGazVKXDC1lwfPVpLgS71sgQ9Ejxs8UGhW2ZLnko3u+qvK1St6rTi89Iz3luVUq8RJIae2x+aFFKgmnghvwd3qX8wKDavScWQcJGFIqxCJx9CEAkEgpOOswd8x7SJrxJj8uAsb8fMufexdnsXqKjibDVFl1JT7FSRVT3QmHXNQYU5Gy3ku6oCrpNNVq7tWsSQZJd/oJaUes2nMudQh4ozwxdvnOfoSn8lJ7CG//yTJ6X+hHGRCd9Ms0MIIoFAcNJgULzcOP5Nzj9tCQC79g/mL6/fTokzuOJ9mSe6u1WCSQVVR1K9/C9H4tnfzCFz8j0Kz2xK5t5ML0OSympNqd/kiKXAF1PLFSUKtFg2u+x0NxTUGi8kXGQN42iLIbX82FqeJIkmad0hnQRp90IQCQSCk4KUxMM8NGUWp6TtQNMkPvhmEot+upzS0Ab1UaCTHAvdk/1iSFNV3t4UV3EsQluO3a0YGFeMrEWuOl2ohrYiCkexZm428UIniosMTjwxJKgfQhAJBIITnv5Za7n3quewW0twlMXx7HvT2bxrIOW13KAj47ceXdPDhaKpSJrKljyC3GShSOR7jGwujqFnnDNiSn2i5IpqB/G6s+o8WnZK/clSdfpkF0M7d+7k8ccfZ+3atVitVi666CLuvvtuTCZTxHPWrFnDlClTwh7r3LkzS5b4Lb0PPvggn3/+edh5M2bM4Kabbopqj0IQCQSCExZJ0rh81MdcMeojZFln+96uPPXO/eQVtqZjssK+/LpvoDYTlHqqHifH+sXQkHZ+MYTPS6E78od6dQq9hloLLWYqBSQpLgrUGCJ3rC8nU85vMSn1x8IqBM1XDJ3sQgj87bSmTp1Keno6s2fPJjc3l5kzZ+JyuXj44cgZcD179uSjjz4KGistLeXGG29kxIgRgbHbbruNSZMmBc378ssvmTt3btC8uhCCSCAQnJDEWRzMuPIFBnT/DYAvV/6JN764Hp/qj6c4UlK3ZQLgrqGg6CpFTo0Es06PBI8/1V7DnzmmqiQao1trv9PIRmLpbikNpOBXL7YoSzAsJpfFzjQiFW8cJO0LnCvihYSLrE4kqYladzQ8iOjDDz+krKyMl19+mYSEBMBfeuLRRx/l5ptvDiqkXB2bzUa/fv2CxubPn4+maYwbNy4wlpaWRlpaWtC8Z599lq5du9KtW7eo99miW3cIBAJBOE7puJ0Xps9gQPffcHtMPPf+Xbz62S0BMWQzy5RHEThtN0GvZB89k3wM76DRK9ETqDtENUtPN5uTZJOP2tpyAMzPa8s/9mQxbXsv/leaWNGo1Yfm9aH7VFSvyipX5c0hXCwS/Kx1RNNrF0PV23LUbLPRWBfZidCCw1uinhxiqJmwfPlyhg0bFhBDAGPGjEHTNFasWFGvtRYtWkR6ejp9+vSJOCc3N5dffvmFCy64oF5rC0EkEAhOIHT+NPRr/nn7Q7ROyiMnrx33vjSL7349O2jWsC6h2WDhOL2jhqz5U+ol1RtwkaleLxuPyPyUY2DjERk0lWszCgJ7qLmnmhT4TDx/MJM1xQn+GRUiY7PTRoFmJnInTYkCLGz1JQPBLrK64oVUrxZRDNUUOj63etTihWoTQz6X2uLjhdRyVYihGmRnZ4c0XLfb7aSkpIQ0aK+NI0eOsHr16iDrUDgWLVqEpmmMHTu2XvsULjOBQNAisZoNdGxtZfehUlwelRijm1sveY1zBn0HwKoNQ3jhwztxuqxB58UaJfp3NLB0U93XKPNo6D4vcjWr0JpcE29vsZLvrnJDJJu8XJt+hHszDvD23jbke2umOYfPPHunKINTjbkVLTm8FOm1pdxXUegzouoNb8xaHeEiazpOdCGUk5PD5MmTIx7/9ttvw447HA7s9tAMyvj4eIqL664KX8mXX36JqqpRCaL+/fvXu1m7EEQCgaBFYZAlFEWizOVjy17/h2m7Vjk8NHUWndvvRtVk5i6ezOffjyecpaXcqyNpPhJjobCOlPsf9hnYcNjCdT3LGdKqnDUHDTyzIS5kXr7HwDPb2jKj8z5e6bmNTcUx/FFqY35e27B78CNRoJrZ4kmgm+wvCGnXnFG9Bnb8Gxcp9dFzMosh2Xhi3OoXLlxIz5496dy5c8Q5O3fuZNOmTfztb3+r9/onxqskEAhOGnyajk+rckMN7bWauye9hDXWSaEjgVnvzuCPnb1rXaPEqTGyq1Jrh/pKCtwSz/xm4Z5eXuZur73W0Jz9bRloLaCnzUuBO7qIhEKvgib7BUOWUkCiVE6hHsFtpusk4uQUPS8qF1l1glxkSOw0tKEkxkqcWkZnVw6au3axBCKlPhLNWQw1Je3bt49oBaoNu91OSUloK5zi4mLi4+OjWmPv3r38/vvvPPTQQ7XOW7hwIQaDgfPPP7/e+xSCSCAQtEhkWWXymHeZONJff2RjdndmzbuPAkdSnecmmlXkqO+vfrHz761xOLy1ZetI5HtNbC6JpVQ1MPdQdOZ6u+YE2R9HJAFXmv7gFfdAQrLMKvpwX+r7xR/LRMPE0O+mdBa0GkGxocrSZfeWMC73e3qW7ACal4sMmq8YOlmEUGPp0qVLSKxQSUkJeXl5IbFFkVi4cCGyLNcpdBYvXsywYcNISqr7c6AmIqhaIBC0OBLiCnns5kcCYujz7y/kL68+FpUYSrJAVqJGsbM+NzOpDjFUxS8l8Ty3vwslWl3fN/01hbKUgqCq06fqe7nNsJpEgv15iTi5ybec/to+IHoXWU0xNK/N+RQrtqC1HQYb76eOY4OlS7PLIhNiqJFIEihK4/81Iu1+xIgRrFy5EofDERhbsmQJsiwzfPjwqNZYvHgxgwcPpnXr1hHnrF+/nr1799YZYxQJYSESCAQtih6dN3H/5KdJji/E6TLz4kd3svL306I+/7Q0mbsXqxQ0qGVH3fxYlFzxU203EL+158rYTUg1ijRqPo3+7KevtJ8tvkQcxGKnnK6+XGT0Bled9vk0FrSvKFJX8+YmSaDrfNXubLo7diBX7K8lxgsJF1nzY9KkScybN49p06Zx8803k5uby6xZs5g0aVJQDaKpU6eSk5PD0qVLg87ftGkTO3fu5Nprr631OgsXLsRsNjNq1KgG7VMIIoFA0ELQuWjEQq4dNwdF0dh7qCNPznmQA3mpUZ0tS/CnTIlFWzTCFz2s+xuw3eDD4VMizNWxy14cWt1Vq+PwMNXyBwOkA0D4Fhy610sWh5us6vQuc2qQmywESaLYZGePtQOdy/aJLvVhEEKoYcTHxzN37lwee+wxpk2bhtVqZeLEiUyfPj1onqZpqGroa7xw4UJMJhOjR4+OeA1VVVmyZAlnn302Vqs14rzaEIJIIBA0e2Jjyrnz8tmc3nclAD/8dgYvf3IbLk9s1GtoOny3Uye8+KlLDOkkG31M7ZjLc9mpYdbwW1SG2/L4ylG3QLvC5BdDx7Ixa4kS3U2ixGAVKfVhEGKocWRkZDBnzpxa58ybNy/s+AMPPMADDzxQ67mKovDTTz81dHuAEEQCgaCZ07HNPv58zUw6tD6A12fgzQXXsnjF+URj0alJuY8GnOcXO+ckFzDYXsw9aV7mHEylwFtlCUo2eJiSnI1N9kUliBJlV51iSFV1dkhtKJZisXlL6Eqly6xhKfUWV2iWTzgs5Y6QseYshoSLrG5kY826WIJwCEEkEAiaLSP6L+f2S/9FbIyLI0XJzHznPrbuib43UdPgF1AfH2rDsvxErml3gFe6bmCTI5ZC1Uii5KKb2QE+H5oOSbKLAq325qxd1UMgRW7MulbuyMemgRRJFVYdIySopUxwrqIvu2t1kUH4+kLpHMDuLcFhsIUPkNV17J4S0kr21Vj75HWRQcsXQ4LoEVlmAoGg2WFQvNw0/g3uu/o5YmNcrNvWh7uee64RYqjuvmXRUOA18tzedP5XZKOHxcFwy2F6xPrFEICkqky2b49wTf/jScp6f2XqWsTQ/xlGUIQl6Owi2cpbtnNZK3cKGo+2BYeMzrjc7yu2UmNvFY//tG9ZIKBa9WhNLoY0JPYmpbO5XS/2JqWjITVbMSRacJx8CAuRQCBoViTHH+HBKU/TLX0rAB8tvZT3v56EpjemY3fDU4ZD19F5Jy+dgeYjFS03/OKgMnV+gCGHO+J8vFvajUK9KsYpiXImGdYzQM6JGC+kIfGxYWDFpcJngn1hP41eebvRq50L0VWd7l64lUmqxpftRuIwVatD5CnhT/uW0b1oW8W+mt5Ftq1Nd/7bYwylsVWF+GzOYs5a/yWn5ETRR6UaIl5IcDQQgkggEDQb+pyynvuvfpZ4m4NSp5Xn3r+bnzcPOgZXji7LzI9Evi+GTaVWepiLg2oIVTJAzqF/XA5bPQkU6WbsaimZ0hFQNbQKrREueHqrmlTlJgt7aYkixcYOKYUMcgLD9WnB0dOxne6OHWSb2lFitBLnLSOtZF+QZSgcjak6va1NdxacennIeGmsnUVDJzFu9YdRiSLhImsAlXWImmKdExwhiJoYXTvx3zQCQVMjSRoTR37GVX/6AEXW2Lm/C0/NvZ/cgrYAjMgys3yr62juoN5nFKmmEDFU3VokAd2UfP8xObKLrPqYwxBd1pyjImOsoY1ZNbeXdPfekPGjES+kIfHfHmP8DyJYvb7vO4aMnM0BURYOYRUSHG2EIGpiarrmBQJB7VhjS7nnihcY3PMXAL5Zcy6vz78Rj8/f+T3RqnD1EDu/7nJT5mk+f2Dx+AVaODFUfRyiT6m369FVi7SrZS2mS/3+pE5BbrIQJIlSSwIHWnWi45HdYacIMSQ4FghB1NTowkIkEERL3657uffqp0iIO4jHa+S1+Tex9H/BVWavHBKHSdG5blgss3+Irhv80UUnSXbTzVTUaDFUs7ZQZw6QEFNKkWyNmAmWoJbSqWx/0HBz7lJfFmOrcw5AmTm0aKRwkTUNkkGk3UeDEERNjQ6aBrLI3xMIauWuS//HyMHPIMseypzteWrO/azfmR44nmSVuWKInUGdjMiql8EdFe4cYead/7koqpf3rD7xQdGsBVdZN4PPGxBCECqGonGRVf3sX0dGZ7xjJXMSRvnNzdVFUYX5+YIjy6u11mi4Vch/3aOfUh/rCK1rFA5rjTpJwiokONYIQdTESLJ+MsSeCQQNxmRwc/OENzh3yDIAnGVnUXTwcW4528b27i5KyjwkmnW6tfYHgm494KS4TCUhVmJQex3bUJknv482VVuv9n/j/zDtkpepto0MijkcYhWCUDHUkKrTfdjFNUVL+TxuWFCrjXi1lAuPLKeXcyfQfF1kgWtUpNOnlu/B5iymNNYe0eplKy8m9ciewJAQQ4LjgRBETYykCEEkEESiTdIhHpo6i4wO2ei6jCP/dkoKrkfWwYCXHm0NyBrIusqv2WW893M5Bc6quCGrEXpGbnYdggz4b8uN/aPUMePjhcTvMMhNEy/k/zl81emeJdvpXrKDXTHtcChWbJ4SOrtyIlqGmpOLDIILLcronLX+SxYNnRTR6nXW+q8Cz02IIcHxQggigUBwTBjU/WfuufIFbJYy3J4EHIdn4XYOQ9Y1FM2LrFW4jSrEULh4oTIv/O9AdNcb3b6Ur3Oii1+JBhcGfnO1YqDxEBCdiwwixwsFfo5QdVpGJ8OdU6+U+qo5Tesi889peAuOU3I2MW71h3zf93xKLdXqEJUXc9b6rzglZ5OIFzpaSBKSSLuPCiGIBALBUUWWVK4c/SGXj/oEgJzDPZBKX0T3tkamSgzJuoqm6Ww+UM5bqxoTPK2THKOSaSvna5pKEPkLMr5f3oP+HECuuDf4PF626a0oVGNIwMUp5KF7vWhIbNdaUSzFEi+V09l9INAWoL5d6itp7i4yqL0Fxyk5m8jI2cyBVp0oM8dhdZWQemQPMrqwCgmaBUIQtRA0FeQmEPkCwbHEbi3m3qufo3/megAW/jgWm/ZnstraUDS/xaRSDP2y2837a0qCXGT1x3/utV0KsOGtY259kSjQY9mmJZOpHeJXrT0f+PpSWK3FRoJexiBpNz/L6RQZqgosJhjKmOheQ++K+B+oX2PWluQiqw0ZPSS1XoghQXNBCKIWgiSy1gQtjKy0rTwwdRYpCfm43DHM/mQaG7adzZNXWEPE0K/ZZbzcJCn1EpelFTIk3oGqQ7LRS77XQKRGqw2JLSr0GvhVas+/fENDjhVhYancI3RcsvBv89lc51Pp69l9UoqhmggXmaC5IQRRC6GioOvJ4MYVtHh0zh/+FTdc+BZGg4/9h1N5as4D7M1N4+ZRyRjxBcUL4fXwdqNcZMG0M7nB50MBrulwkGd3dSRU/DTcChWHi7d8le1EwldejlSReb5lGD3KdoV1nzWli8y/9snbpV4IoRoYxK0+GsSr1IIQYkjQ3Ikxubj90n9x1qnLAfhp/Wm89NEdmA02bh6VzKBOJvB52XrIRXG5RmKMxpaDHko9TbcHu+xho8NCgVviYHlTfsTpJFGOrupBbrIQIv2hVvQhyza1pXPpvqBDLS1eqKFCCIQYEjRfhCASCAQASGhkGA5jl8txaLHs9LVGJ3pfbWrKAR6a+k86tduLT1X4bcNt5OVM4tZRCt1aK8iyxNrsUt5f7aDQ2fAbam2YJZVXsttR4KtemVdHQifDkFuP5xbeonS5tA4H5rAGpmhfvyLNHPT4ZHGRgRBDguaNEEQCgYA+xj1MsPxMolLluipULcx3DuJ3b6c6zz+tz0ruuvwlLGYX+cWJPP/+/XRtNRx7rO6PE9J01u5288p/i47iswCXLuPyBYuQPsa99X5u/pyyKhIpZ5K0jlOlA2zyJkKNBIf6vH52tSzwc3NIqT8RXGQgxJCg8QhBJBCc5PQx7uE62w8h4wmyk+tsP/BW6ZkRhYMi+5g69h0uPmsBAL/v6MXT786gqCSR9TsKqtaKlfAdHaNQGKosOw19btcZfyNJL6VYN2PXyjmFPGTJX0voFPJI0MsowgKSFP01KvqQdXYfbHEuMmi+YkgIoTqQJDA2QS+zkyBmQwiipuYoNeMWAdWCo4GExgTLz/6fI8QHT7D8zIbijiHunyR7AfdPfpqeXTYD8Ol/JzDvq6vQtND6EEXlx6pLvVTtp0Y8N72UbvIRf7HFCiFUeduVVJXL9F/4P8MIJF2N7hpFHdCRubDwJ/AFi5SmsAppSOy1d6TUZMPmKSXNsQ/NVXvZAeEiEwiCEYKoqTlKokWIIcHRIMNwOMjNUxNJgkTFSYbhMDt8bQPjvbr8wf2TnyHRXkRZuYUXPryT1X+EpqEfTxr23HRseOiqHkar0AHhqk73cWVzg0HlF1uXqK7RV95Dn8Nb6VmyPeh4dTGkIbErph0lVitxvjI6le1HRq9TDG1JyuLrzqMoibEHjsW5ijl3+9dk5W0Je65IqRcIQhGCSCA4ibHL5fWcp3PxWV8w9fx5KIrGrpx0npp7PwePtD96m2wg9X9ufkoxsY5UTuVArV3q+/n20NO5G+Lr/hi9svAb9JKqVLqaVqGNcV1Z1PosHKaqZq52Twl/2vsNvS17kGMUNLeKr9BTsYcqMfRp1oSQ65XE2Pm816Vc/McnQaJIuMhOUkRV36gQgkggOIlxaLFRz7OYy7h70ksM670GgG9/PptXP7sFtzfmKO2ucR3q6/PcqvCHU3+o9aW3ugeZ2huzykp0+5O8WsCbHk4MvZ86LuScdGsBPQbo2JVWVdcs91G6sQj1kAsNia87j6q4QHh/3bJTRnNK3la/pUm4yASCWhGCSCA4idnpa02haiFBdoZ1y+o6FGkW1BQnz099lPYpB/H6DLz++Y18vfo8GiZYQoWOjI8zYrbRSinhiBrHj+5MtEZ+PEX73Hb6Wtc4IlEoWdkupZDpOxQYrRRDQZWly3V0rwYGCSnMRXRdB4+OVuI/p6YY8vk0FrU+q+KydQeDy2YF+4BkHL/ms83ZOshNFoIkUWKOZ19CGqmHsiPPq0ZztQqBEEOCo48QRALBSYyOzHznIK6z/RASuK9XmDSys+Dpix8kxuQhtyCFmXMfYMf+rg26mlEGnxace3BB7C+MNG9GlqpGx1t+5b+u7iwsHxh2nbpacVTWBFrn6cRZ5s0Rn9t856CI9YiKK+oF1dml/pAXuYMJXdeDRJFecRHvPr9LLlzw9B5rxyA3WeXeIwdqS+i6jq1nAqXrrUSDQ7KQGsU8IYYEJztCEJ2EiIw1QXV+93birdIzQ+roFEsxeM/Zy6VDVwDw65b+PPvedEqcwVYJowzeKO+lNeddEPsL55g3hcyT0APjoaKoskpQzTex/3G4mkCaLiFVk2FFWt01luL18rrFEKDme9B8GobUGDBV25NHx7uvHE+uK2TtykyyEkOoqKk7GFxCiTXQxuiIOKc6VndprceFi+wER5LAINLuo0EIopOQk+B9Lagnv3s7saG4Y6DSsmJ3csVVb3FK2k40TeKDpZfz8dJL0fTQ4EyvBhf3jWF/gY+f99V2Awt1k400+1P2I6WsjzRvZnF5vxD3mU32UaqFfshHcjVJ6Og6fO/qzh/ejhVVpCP8Ieg6iTjp7D4QGIoohirG9WIf3mIfxEpglMDrd5PVlVIf5yujJtEGg7f1HSHOVex3m0XwCca5HHQo2BNxDSGGBIIqRA/1o4yuV5nnj+Y5AkFj0ZHZ4WuL3rmIu++cySlpO3GUxfHov//Gh99MCiuGKvlhu4eBHeqntM+I2YYs6bW1/kKWdM6I2RZy7K7WW/hbuw1MS9rE1fE7/PPrqDsEMDRmB5m+fMZRYZWq+YdW8fgS1xpkdFSPr04xVInmU9FKfGgF3qjEEEBqwW7sHkfQPqINBtddKudu/7rW53H2pq+QIxRHa4yLTIghQX3ZuXMn1157Lf369WP48OHMmjULjye6Joa5ubk88MADDB06lD59+jBmzBgWLFgQMm/dunVcc8019O/fn1NPPZXLLruMzZs3R71HYSE6BugqSPV4pWuz4Ah3l+BoIUkal4/6mCtGfYQs62zf25WZ79yLvQRONe2qtT9XgVOnpJ432FZKSQPm+a/ezexAVn1gANWr8mVJB5LkwjprAsVKXi40bUDxKbT3FvCRPIAiqtxWCXoZE93/o59vT0QhBE3XpV4G/rR3GR9nXBz44647GFxHK1fx5LnIYgsX//EJy04ZTYk5PjAnzuXg7E1fkZm7GQ2J/UmdKIuxYXWX0qFgD3oDBYcQQoKGUFxczNSpU0lPT2f27Nnk5uYyc+ZMXC4XDz/8cK3nHj58mMsvv5zOnTvz2GOPYbPZ2L59e4iYWrVqFTfddBOXXHIJN954Iz6fj99//53y8ugsriAE0VFHksBVaCY2JTSOoKHrCQRNTZzFwYwrX2BA998A+HLln1i9eBS3xfxEoj26HmDxJg2biUDn+rqanR5R40LWCEfwPAkN2FJmpYe5GN2nIktwlXUzK9zxkZYIQlV94NHoz376ePaxQ2pNsRSLzVtCVzU3YBkKzK/DKlSdaKxC/nlV63Qv2sZlOz/nq47nUhJjryPQ3W/tcayraouSlbeFzvs2hYgeGZ1tbbrz3x5jKI2tem1szmLOWv8lp+SExm7VhhBDLRjl+NYh+vDDDykrK+Pll18mISEBAFVVefTRR7n55ptp06ZNxHOffvpp2rZty7///W+UiucxbNiwoDk+n4+//OUvTJkyhfvuuy8wfuaZZ9Zrn0IQHQMUS+39hASC48kpHbfz4JRZtE7Kw+0x8cqnt5L/e5d69wBzuKFHssr/DipRNTv90Z3JeMuvSIR3m+m6v0/9j+7MkGOFXiO6wX8D1bxeBsUcxqxHZ3GSKvSNrmrIQIZ7v9+pFAOaoqGqVS6mSjGkIbFDSsFhsWJXy+jsPtikLTgyD2+h6+GtQe03ii35xPWMR4mt+pjWylUc6wpw5VS9rj6XigykFewOWnNbm+4sOPXykGuVxtpZNHQS41Z/GJUoEllkgsayfPlyhg0bFhBDAGPGjOGRRx5hxYoVTJgQWlwUoLS0lK+++oonn3wyIIbCsXLlSg4cOMCUKVMatU8hiI4BJqsQRILmiM6fhn7DTRe/gdHgIyevHU/NfYA9B9N4JH4+UJ8eYDrz1kuAEnWzUw0D/3V15xzzpohp8f91dQ9bjyhBdqN5/Rlgmtf/99VDcVCiS2gRBBY6oAEuHR2/0FE9XvRY0JJkMPj3D6B7NbRDXvDC7zGd+TxuGMWGKktVvK+EC48sp5dzZ6Mas/r34N+LjE66Y29gvPywj/LdJZhSzMhmBc3ld5MF1qul0KKGxH97jPE/iPBL/L7vGDJyNkeMMQJhFRIEk5OTw+TJkyMe//bbb8OOZ2dnc8kllwSN2e12UlJSyM6OXCNr48aNeL1eDAYDV199NWvXriUhIYHx48dz9913Y6xoWrt+/XoSEhLYsGEDU6ZMYd++fXTs2JFbb72V8ePHR/38hCA6ihyNeB8RQyRoCmKMbm695DXOGfQdAKs2DOGFD+/E6bLS1XCoQf3NoP4NVStT6keaNwelxetIEeoQ6STJbjKlPKBKDOkVAsQsx1JucIZm5VcsbXBISBUHAmIoJUxuiUFC7mAiOyeeOeZRIYeLFRvz2pzPlQcW0dO9I+hYU3epry6Cqo7XLiT2J3UKcpOFIEmUWhI40KoTHY/sDjtFiKEThGaQdu9wOLDbQ4uIxsfHU1xcHPG8I0eOAPDXv/6Vyy67jNtvv53ff/+dl156CVmWmTFjBgB5eXmUl5fz5z//mTvvvJOMjAwWLVrEAw88QHJyMmeccUZU+xSC6ChxNIWLEEWCxtCuVQ4PTZ1F5/a7UTWZuYsn8/n346lUEA3rAeY/t34NVdsAEgvLB7K4vF+1StW2CJWq/armKutmZClUDGleLwoSZl8M7hg3evW/Ec0vhmRXNTFEhWWocmNB+/QXQExu60Uq0tClGub6CnW3uM2ZdC/ZiYzeIKtQOKqLofDH6xYSZTG2OucAlJnDx3EJMSQIR/v27SNagY4GWkWH5dNOO40HH3wQgKFDh1JWVsZbb73FtGnTMJvN6LqO2+3m3nvv5eqrrwb8cUbZ2dm89tprUQsikXZ/lDhaguWEFkINL4kiiJKhvVbz/N330rn9bgodCfz1tUf5/PuLqW5OaVgPMD8NbaiqYeAHdw8+cw7mB3cPzo/PJUlxB82xSV4mxO6gv5QTVgwBaD4N2S1jdpgxFsoYimWMhTLGw34xpHq8gWKLmqL63WQR/qgkSSJBKSfDmBf+SUgSxUY7uy2pTSKGfC5fk4ghgFhHlEUbXcFxVyKlXnA0sNvtlJSExvgVFxcTHx/ZkllpVRo6dGjQ+LBhw/B4POzZs6fOeTt2BFtwa0NYiJoYXTv6iuWEFEWN6+MpqANZVpk85l0mjvwcgI3Z3Zk17z4KHEkhcxveA6y+Yir8L3ys/QBX2HdyedxOvijsyBJnB8p0E6W6ifnlp/C9K5XrzP8j03AESZKQPDoSEpqvSmhoHh8yMqqqs11qTbFckUVGtSwyW3TfB+sSeQ4p9Dk3xkUW/nj9utSnlu/B5iymNDZy0UZbeTGpR6qKNgohJDhadOnSJSRWqKSkhLy8PLp06RLxvK5da28R5Hb7vzSdcsopdc6JhhYviHbu3Mnjjz/O2rVrsVqtXHTRRdx9992YTKaI5xw+fJg5c+awYsUK9u7dS1xcHIMGDeKee+4hNTWarj+RORaCKHCtJnadVQayHhfBJcTQUSMhrpD7rn6WPl3/AODz7y9k7uIpqFr4P/9o+ptF6gHWGDHlR+JLRyoZxmIkVeOzss5BR6tnr1XKFMkgYSw3YkAJarXxm57Kx6aBFEkVdYaMkKCVMaFsJX3ZDWrkYOLq1CXyqlebPl4uMggutCijc9b6L1k0dFLoB0XFL/Gs9VVFG4UYOrHR5eObdj9ixAhee+21oFiiJUuWIMsyw4cPj3heamoqmZmZrFy5MuAKA39WmdlsDgim008/HaPRyMqVK8nMzAya17Nnz6j32aIFUUOLPW3cuJGlS5dyySWX0LdvXwoLC3n11Ve59NJLWbRoEUlJod+ao0YHzSshGSJX4D3aNETYiMrYJyY9Om/i/slPkxxfiNNl5sWP7mTl76fVeV6k/mZ19QBrjJiqWkPipfwe2KRKcVPVoyxc9pou6XgsHjSHjFKx7m96Kv9nGBEyt0iy8JbtXK4rXUYvRzZyHZ3qizULO70pEXrJ6sR7S+hUth84ymJIgpjWZpRYA2q5D/dhV1CH3HBVp0/J2cS41R/yfd/zKbVUq0NUXsxZ67/ilJxNIqVecEyYNGkS8+bNY9q0adx8883k5uYya9YsJk2aFFSDaOrUqeTk5LB06dLA2PTp07ntttt44oknOOuss9iwYQNvvfUW119/PRaLBYBWrVoxefJkXnzxRSRJIiMjg8WLF7Nu3Tr+/e9/R73PFi2IGlrsacCAAXz11VcYDFVP/9RTT+Wss87iiy++4LrrrmvUvsqPWLG0LT1qwc/RCB5fqQVjXOTg1vALSyAJZXRioHPRiIVcO24OiqKx91BHnpzzIAfyoreAVvY3u6/XIXrEO5ENMewtSebAJjN4az+vIWKqJqV6lZW3tuy1yl6vPpuG5NTRkfnYVJGdFiHVbb5lGD3KdtXZqf7wPhk9To5oZRlz8Dtk9AbFC9VGdatQbEcrCQNbYbBWfV75ynwU/XKE8n1ltbbgOCVnExk5mznQqhNl5jisrhJSj/iLNgqrkOBYER8fz9y5c3nssceYNm0aVquViRMnMn369KB5mqahqsHvm5EjR/Lcc8/xr3/9iw8++IDWrVtzxx13cNNNNwXNmzFjBhaLhTfffJOCggIyMjJ45ZVXOP3006Pep6TrLdc2cNVVVxEfH8+//vWvwJjD4WDw4ME8+eSTEYs9ReK0007jwgsvDESzN4ScQ+VcfvMvGK0eYluVIRub9uWNVmR5iuIwJURXqK4+6wqaP7Ex5dx52WxO77cSgB9+O4OXP7kNlye6+J6aTOnlZUwXDUXzImkqqg5f7VSYu632TCZ/pepcEmRnhZusTa2WodroajjEHfZv6pxnyJfY4W3L86bQVPma3JL7ORnuHKR4A4bUGCRT1d50t4Yruwy1wMPGuK4sanMWDmO1OkQeB2MOfkdPx/YGxQtFqi3kPx4shpJH+L/YhRNsecsO4twd2iC2LoQYOv6ctXEpls4dj/p1tPIS3KtD+37Vl5ihFyLHRlddvqXSoi1EDS32FI5du3aRn59PRkZGk+xNdcVSut+MYvZisHgw2f0RDw1xYwV9MdUkJKVukaVrMppPRlK0qK4pxNCJQcc2+/jzNTPp0PoAXp+BNxdcy+IV59OYIK13/jCyeIfGtT18DGkLiuplTAcXi/bEku+WI64tIXFBOxf73RY+OdyuwdeH6LPXdBkK1ehqrjgUf2yRXuzDne9GjjMEOtV7jlQFYvYs2UFW4Tb2WDtQYrAS5yujU9l+NLeXcHae2sSQIclEUr+2KJaqj17V6QtUnw6KF5IgYWAr/48RygIkDUvBuaeMWmorBiFcZCcjErrSBHWIToJAzxaddt/QYk810XWdxx9/nNatWzN27NhG70sOlBiXUF0m3AU2yg/b6xVwXSmGyg/HUXYwHmfF/+WHo1PokqzhLY4LWktwYjOi/3Keves+OrQ+wJGiZB761+MsXjGWpvggy3dJPPObhTUHJFBVFNXLtRmFFUdrvsF0QOfOjrsZmlBMO2P0zRVDqejdFW0HeLcPux5l6r/qt6xUpsxXdqqvLoYqj8vodC7bR5/iLXQu24fmDu8zrM1FZkgykTAsBTk2OMBVjlVIGJaCMcUcNB7T2ozBaggb3wR+UWSwGTG3je61EWJIIKidFm0haipmz57N6tWr+fe//x0I0mo44T+8fM4YSvcasaUVIMl1B1zrqowr34bPGRM0bjApaL7SOi0/poQSNJ+Mr9SCEutCMhydIj/HNTNNAIBB8XLdBXO44IzFAKzb1oen352Boyy6ZqfR4Q/UeW2jjdgebrrHg03xMbZtET8eicPhq/ooSTZ6mdruAENsBaBCPI1pbOx/Y9WVvYaugwq4obPnAAkxpRTJ1ogp5/FqKT5V47eYDOIMZXR25aCFcX01ZdVpez9/skYka0/CwGTK91dZe6r3MKsNxVJ3BpFwkQkEddOiBVFDiz1V5+OPP+aVV17hiSeeCOmg2/TIuI7EEdvaETEDx+OIxec0obqM1BRXBpP/1+UttmNKKgq7RvXHkqJhsDnxFiWBLiOb3Bhs0ccVCZo/yfFHeHDK03RL3wrAR0sv5f2vJ6HpRyPNVqLUJ/HY7yn+yszV3p92g4/TE4sYaCuiu7UUWasqmNgt1kuS4qZANdFQa1Vt2WuVfzxygVZRfwgmOFfxlu3ciMHQXsnAv9tXudvt3hLG5X5PzxJ/EbemrjptSjEHuclqIkkSBquRmNZm3Ll+AamWR9cDUXXWLkaEGDrJkaSm6XZ/EnzrbdEus4YWe6pk6dKl/P3vf+fOO+9k4sSJR2ubQficMX73mRr80uuqTPlhO+4CG6or9MZRKYbAH5/kKUgIWSNcQg2A0V6M5onBV1o/t11dCOvQ8aXPKet58Z576Ja+lVKnlX/8+y+8u+SqoySGgqkpARw+hS/zkilVlSAxhKoiaypTEiqrxTbcf/u7J433S4cFutUHUIGDPrTiKgHRqyyba4qWEq8FBxxbNL/YcMrB7imHwcb7qePYGNf1qLTgkM3R/U6qW4Xch134ynxEynvRdR1fqRfXofAuQlF1WiCoHy3aQtTQYk8Aa9as4Z577uHSSy9l2rRpx2K7AXzOGEqdJhSzF0nR0FU5rEUIgoVQdVRXLKrLjMFaVms2mSQBiopscqN5zPjK4jDGRVfWvzZ0tx0ppvHrVGIgBR8RWiQIgpAkjYkjP+OqP32AImvs3N+Fp+beT25B27pPbrpdhHms838HOhLbppweFkc1YeRjkOUIl7h28VlZ3V9UIl9S4n/eUxiet4suHEBXJCRVRyupEh6qt0qg9HHvovuBHeyKaYdDsWL1lPJR61GBtap2rpFhPIxdcrKxQw+yCrcFdYBvipR6LeriitXO1aFg5WFSzm0XsSxAwaq8sBpTCCGBoP60aEHU0GJPO3fuZNq0aaSnp3PRRRexbt26wNykpCTS0tKOwe6lCktQZPxiSEc2eQLCSfNUtx5J6FqU1gDZ/+GtlsVhsJaCFF32WU10HdANoMYCTSOIjFIKscZOeDU7Lt9e9NqK3JzkWGNLueeKFxjc8xcAvllzLq/PvxGPL6aOM48FEqWqgSdyepCkuJnaKptTjYfZ4o6n0GvE10RZKoWqCckHUmULjgqqi6HKcRnIcOeg+VR2mlNxGIKTEqpXvq7Ee1oK3m3F+I64m6wFhyfPher0IccqEYtAqs6KgotUFVp07i7D8Xsh9t6JwRpUB8eGwrAp90IMCQQNo0ULooYWe1q/fj0lJSWUlJRwxRVXBM29+OKLmTlz5jHZf20YTAYUcznGeAdytYBozSfjLbajuvyZJTXdZhHRKudJeIsTMSbk1xmDFCnOSfa2AVluhPMjGKOS6P9fTsRsScbjK6bMsx3R7TWYLqnZPDT1n7RNzsXjNfLa/JtY+r+66+0cDwpUE8/ndsMmZQQVWGwK7Hp5kBCCCjFkkZEMEqrLB56qY5UusJKKNPtKIlW+NhrB0MOOa3cpvu3B1tfGVJ0u/PkIySPaRLT2FP2SD3pw1WlLuhV7n8TQxSSw90nEfdgVEEXVhZAmSeS0SccZG4elvIT2ubuRmyDdVIihlonWJGn3Jz4tWhABZGRkMGfOnFrnzJs3L+jxhAkT6l208VhR6SJTzOWYkopCjkuKhimpCE+B322meUy11hvSdUBT0DxVFgRZs6OVKsiWfFCqPuAixSBVLWZA9rZBUuPQ0UFXQGrsB6QBRfJ/azcYFTy+ApzePQgxFMy5g5dx64TXMRm9HMpvw1NzHyD7QCPcT0cdvwutVK/PB3EdHX51nQS9jM7lBwJDqleDOBk5PQbJ6Bf9MiZ0j4Z3bzlaUZW10VKts3utla8rMKfb8BV78VZabRpZddq3r4z85bkhVac1t0bp1iLK99eoOi1B0rCUij3WXofI66j6O9yZ1pMfh4yl1JoQGLOVFXHGmsVk7N1Y614jIYSQ4GSgRQdVn2hUxQvpmBL8dZQiiRRTYjFKrBODrRSk8Gn8lV8IvY4EKm80BqMRf8M1Gc2ZiFpee7XhwFrlrZBdGUiqX7xISOBpXVlypsGY5BR/hk2FGCp1b0fXPRHny9LJ9U3HZHBzx2Uvc9flL2MyevnfxoHc/fyzzVwMVSIRWeCEq10EA9Xd/jduTWtGxeMJZasCGW5bpTbsSmqP3CEGDDWuY5QwZliQE/zvF59bJd15ALu3BHSdDMNhEpUIKfz4BYckSVi6x6N6tCZpwQFQvq+Mg1/soXhdAWrFMcWsEN83mXYXpWFJr7JimdvGYrAZ66xDZLBXfdnZmdaTr86+Mqh3GUCpJZ6vzr6SnWnRN7qsRIghwclCi7cQnShUD56WTe5aq1FLEiDpxCT5RVNES7gu4y1ORHP73WsGoxHJVIZsyUdS6vchJ8smJLWamV8pAVNeo2v+GY0WDAYFXdcp8+ypfQ+SEbutC0UlWxt30RZCm6RDPDR1FhkdslE1mfeWXMGn/70EXT8RvscEv3ESdSeXab/SX9/Pqb49fGwYSBFV4iBBL2NC2Sr6enaz3pTOZ5ZhOBQLj8TP968WwYJiTIulrCKNXUZnXO73vJ86DrsUXZ8/JUbBkmnHm+/Gmx9csLGhXepjO1ix9w11gylWAynntgu044imvpD/PP88TZL4cUhFYdkIPdx+HDyWzvs2Re0+E2JIcDIhBFEzoGYmmRwT2UISjojWIR00t7nCKoRfDNkON2yT1VK5daUE3XSglsnRo2le3L4jIKm1WoYANN0L0skRcD2o+8/cc+UL2CxlFJfaefrdGazf3vd4b+uoMFH9lZG6P7NLVzX6s49epbvYobTBIcVi85SS4TuEjM5aOY2fEnqRIR8mTnYFBUPXRJIkMElYBiXi3unvS9a9cCuTVI1NnXpHvT9rpj+DVS33UbqxCOfu0jrPiSSG6tOOo676QpWoZf55OW3Sg9xkodeWKLUlkNMmnQ6HdtW9rhBDJwgSutIUt/oTv76KEETHkUgp9U2BP91ewxirovsAdH/MEJEFVPgKwPizyjR/BW/ZKOMz5FZcpPH7LPfurdf8YkftVqSWjiypXDn6Qy4f9QkAW3ZnMfOd+8gvblXvtZLMOmVecKvN+4MsHheSqgacaKrHiwxkqoeCgqe9ZpnO7R30V5bWa33JKGHuZqN8kwPtiEpPx3a6b9iB97QUjPXwwMpmBfuAZDSPhisnvBCLKIQqqGzHEXGv1dpxuA6V4yv1okRo36HrOr4SH+UH/HtxRtl4s655QggJTlZOBNt7i6Q2MaS5mzArR/Z/uEkGF5Ki1hIzEWawsvCitw0SEopRQZecVOQ8Hxd0mv7D2myO5ZQu3TDW5+54FLBbi/n7Tf8IiKGFP47loX893iAxBDrX9PYxtH19Xq9GBoQ1ELtaJS5Uj7faz1ViKDuuDYYORuKjbPJanUoxYc6oipfT3F5cGwvQdT1i4cNI61S24KhJXWII6tmOQ6+oMwQhewx0u/8+N/Ars5RHV4W+tnlCDAlOZoSF6DhQl2VI88SgqVJUPc/qpLJOkdyADzrd4BdDahyKsdJlFl07gZaEy1XO9uwtx3UPWWlbeWDqLFIS8nG5Y5j9yTSWrx3RoLUkdMZlqAxprzEwxcvyfdaKe2Y0b6ZjqHR1nUScdNUPRxRCAGvlNNJT/Dfxelk3qyFJEpJZwdTJgifPBW7wHnbh2l2KOT26xILKdRSLgcLOnTjotGF1l9KxaC9aHfFElXiLonP5VrrLnLvLyFt2kMShKRjjqgS7r8RH3ve5lO2oct+1z92NrazIH1Ad4YWylRXTPnd3+GsKMXRiIoEuN0XrjsYv0dwRgugYEr2LTMJbFB+2X1m0VKbb676KFgXRFnD0pCDpRn/MkGYJWIaqaMxbRsYoJ+PVREXqKnTOH/4VN1z4FkaDj/2HU3lqzgPszW14cVAdWLhTITPBy9A2Khd0KmfBnlhC09r9MinV7OaAy8yxFkMAl/p+QfdUxY7VLLSoIbG2fSb9lR8jLlWfvw9zug1zug3VpeLcUkx5RZ0hc7otYjZXOH7OGsFvns4A2MqLGbnpKzJzN9d6jlquobrqdoOpZb6gdhzFGxwU/+EgNtWCYlVQy1S/m6yGYUvWdc5Ys5ivzr4yYhGxM/63OCSgWgghgcCPcJkdI+obL1TVr6z+N6nKzzvNmUzgJierYbOZq04CNAOSLwlJtSNpVgxGQw0xBAY5DnRjAz0rWoPEkCSdmLo9xuRixlXPc+uE/8No8PHT+tO454VnGiWG/Ph/53M2xqB6vWQm1G69sBuOww1RkhirrsfsdfKLoTPblLZ4PVX7qKw6nW1qS5PEg9ZAjpGx9U0kpoutXhaiSlLkqirtpWY7C069nG1tuoedq5ZrVfWFonCDVW/HESi2qEP5fielW0so3x8qhjRJYn/bzqiKwuB1y7A6g6vI28qKGfPd+yF1iIQYEgiqODHvNM2MhgZP614bniMWYlIOgRy51UaIFUlT0JzJ6J7KtGUd2VoI1B4rhLe1v74QhAghAKWiY7JRb49XOjbBzYnxnbFYEjlw8Ldjcr1jRWrKAR6a+k86tduLT1V4e+FUFvx4AU1npZHId0ks3mVi8T5rYKzmHIDNpVaOB9/J3Vhs6Rd4nBBTygTnKnqVVTVsLtLMOLTYJr92ZUaXpUtc4HG06DqMiV3PQTWB372dAint3/UYQ9fcLUF90IIKLVZQ6QZLGpaCwVblBlPLfBSsygtbebo2whVitJYVMfi3pSSU5EesVC3EkEAQjBBER5mGiiG5QnxU9jGrDUkC1WUFb6y/crSuVLTq0FGMRlCcSHItVoKKe4FUkVpfKYZ0dH8QNT5k2YSO1e9CIx5F6Yxb23/U+46VlOaQnNQZgyEGn89d9wktgNP6rOSuy1/CYnaRX5zIrHn3sWlXj6NyrXk77Edl3abAKQX3XyuSrbxtG8k0g4sMPRfV5cPuLWWnrzWFqoUEOXIhxYYgSVKD9GeF/mGC5Wc2FHdERwZJoiQ2nv1JnUgr2A2EF0OVOHeX4dxThrltLIpFQXWqfjeZXr9eZJWFGGtSZonnf/3PZcx374dNsRdi6ORBR0KTG58wop8EQURCEB0lGpNSXymG/A+ia2Eh6QqSpTCo4KKuGcCVQrT+LdmgI+uVRd4cqMpBf0YZ+HO7dCNGvT0xxiQgAUWOR6UU8FWIo6YPuPapbrw+B21bd2N/zvomX/9Yosg+po59h4vPWgDA7zt68fS7MygqCdOr6kSm0lJRQ930Me2t1mjVhIyJLl4ng5w7me8cxHW2HxocU9fUSBIkKk4yDIfZ4WsbGC+L8bvfahNDAXRwHQzOmquPGGpIIUYhhASCyIgYoqNAY6xCQWIIqjVlrR3J7AjNJJN8EHsQ5GgLPfr37RdD+wjNKPPilffg04v8y0sSJkMCJkMrzIZOUV6j/vh8bhIT2pHWoR9Go/moXedokmQv4Ilb/xYQQ5/+dwJ/e/3Rk08Mgf9mXVMMVTRaTZCD6/uYDBpX2lcB8FbpmZRqwVal4429RhmAWIcjOjEUhvp2qQ8UYqyllkZlIUZNktib2IntXftyoH0XtOagKgWCZoawEDU1DfycCRFCFWieGHRVATl8DaHqYQERviSCqRhdU5AkNfz+dAADkm5BR/dbhiBSyAlubT9GY1JQ3EVsTCsURabMs6fOitP1xWQyYzBIJCe1IymxLeWuIoqKDpFfmIPP17TXaggWs5E+XVOIjzPx9ardIcd7dfmD+yc/Q6K9iLJyCy98eCer/xh67DfaTKmt0Wp199SjRRdjlAYyxbaiSa6r63og8a4+MUTVCcQ36Tq28mJSj0QXW6chcaBVJ8rMccQU+lPhZfx7qSubrJJoCzHu6tidpadfSpktITBmLS3i9J8W0GVXw5q9CgQnIkIQNQMiiSE/El5HAsaE/EiZtLW6EPx9z1TwJIMxP1LmNYraDgkJTSoLuMkioeNF1UswSP74FENFzJHJkIQ5JplyzyFUtRyXN4/Gdq1XFCPx9mT/dQx+a5nZ3IqE+GRSWrWlyJGPXPF89u7f3qhr1Zfu6a0Y3Ks96e3iMCkaG3YeqRKhAOhcfNYXTD1/HoqisSsnnafm3s/BI+2P6T4bSpzkoUQ30mSB3rqOVXNRpgQHSVc2Wo1EdfeUy9sE9VSqUbbNgTXLjq7rQaKoLtecrkORZmGnr3XgF37W+q+CAqojsb19D77ve35QA1ZbWRET9y2iV293UL0hb4mXvO+C6w1VEm0hxvU9hoeMlVnj+Xr0ZEZ/PU+IopOAJqlDdBIgBNFxpHYhVIXmjkUrbe1vvVG9KaumoHmsKLGOyCdXIOkx4ElFN+bWEDwGFLUdsm6vyCJTo6oFrevegBCqxKcXUVqyC60JLUSq6qXYkUurZL+IUBSJgoKD7N63EY/HFZgXYzKT1iGDg4f24vUFB3obFAM+tenjm7p3aUWXVDuy7uO7X/ax7Jeq/m4Wcxl3T3qJYb3XAPDtz2fz6me34PY2L5dPeHSSZBdXWLbwSmk/Iqro+gilCtEw3LWRb6wDgw7VdDtFwq64WKt2wuMBo1FvsFWnkrLtDkr+KMRb4MbeLwnFEt3HYaXgne8chI6MrbyIs9Z/xSk5m+o8d3v7HiwaOilkPCOhiH4dNCA4+NVgM9DuglQOLjwQIoqiKcQIhD9WodxXDL+Q9N3RN3sVCE5khCA6TkQrhsDfpV73GFE9FiSDyx8rVFF0UTK4IApBhK4gaVZQbcgmN/74IL+bTEIKpNTX/ECOvKfgWB6fXoTDeXS60B/I2UxyUjsMBpmCgoNs2/lryBy3x8Xe/TsxGILf0kajkfQOHdi+q+5mlvXFbjWwdddhFv20C4ezSoSlt9vNQ1P/SfuUg3h9Bl7//Ea+Xn0eLaPUq//GeJV1CwPkHG63aLxX3oNCvcqqY8NDKSZChVL1ZWqYWCp+/im2V8jUaNPqHVosOjI7D9joll53g9W6cFcENLtynLhynFi62onrmYBkkGoVW0VaLPOdgzGvz2Zi3jJSj+yJyjKkIfF93/P9D6qt39e4m2tsP0bQLf7yAClntaFsZ2mQ+yyaQox1mY9L4xI42K4zqTnZkec1Ak2SONiuM05LHBZnCe0O7hLiS9BsEYLoOBCtGDKE9NaS0H1VNw/FaAAM/mwyyRdVc1aD0eB/XA2l2n5krEgYa02nlySTv0AjfneZrusUOZpecFTi8boocxaQlNiK3ftqN+/7fMGWIK/Xe1TEkNVsYOuuI6z641DQ+NkDvmPaxFeJMXk4XJDCzHfuZ/u+U5r8+qHUIk7qgVXycm3sBvpLh9jsS8Krwg2m39B9PhyYsWvlnEIe60hlrnYqTilMkHvlDS/MTblmqj1QZ1p9kHsKcOV7+W+rLM6Ja5gA13UdrVz1t/AAzO0t9bIQvVc2nO2+9owpWUPHI7ujvu6BVp2C3GTgDya/1ra8Dt0iYbQbiU21+IsyViNj70bGfPd+SB0iSdfRo7SgOS3RxSLVl+zOPfnp9AtF7JKgxSAE0TGm4WIoGL8YApD8qfWxB0PjHqoVXDQYQ3/VSpi9GI0GJL0DLi2yiLCaOvm7cle4zLw+R5O6ycKhaR6KHflBbrL6ING0bUvLXL4gMWRQvNw4/k3OP20JAL9u6c+z702nxFlVByhGAXcTZz0bJQ2vLlG3GIpOME2L/RUnJmaUjAyyCiXiZJK0jizJX2W5r2c3z7CHL/Ue/NfQLUjoJOhleHQFp2yuJdKfwDEdOWJafZB7SpeI9zoAic16R86hbkEUGhvkX9CxrgDwi6GEYSl1rlOdShef1RVdDE8lDoILYFYPJo+G2I6xwcHW+AOw+8bupcfql9leloIzNg5nrI2Vp18Y9boWZ+Tn0VALT3bnnnw9enLIuIhdOg5IEprSBI2rT4LMRCGIjhH1dZHVhlJT3PhsUN4OyZwXHB9U+f41HUZVZSQMVLrKKi08wdf179EgJWCWQwsvSpIJq6kTJkNSUPyQXkcQdlNgNMagNqIw49E00qckHubBKU+TmbYdTZP4YOnlfLz0UjQ9+Hfe1GIIwKtHXzlDQq+lyatOkuSiVDfxr/JTQ44WEsur+jBu9v1If32/fxVVZSwbGOP5g61qEg4pFrtejs+r8q/4cbVspOL61dTP795OvFV6ZrU6RH6KNAvznYP43eNvZzJ67zIccgxxcnTvBV3VkQxVz1crV3GsK8CV48SUYiZ+QHLFlqL/sL849hcUlzvqjDLwp9RbrMHCo65g8pokVxNuarkPHTDEVn0WtHN4yf0mm7XlXaJeU9I0XDGWsMcaauHRJImfKgVZBEEsYpcEzREhiI4BTW8VCnOMeDSvBKYc/0DQ55APTdkfNKZWFFlUiA8JjpYVBRPJGPUkVL0ESVGRK9xkxho1lmRFRtYa9+1DUYyoau0Vr1XVQ2xs42oQ9cjszM7d+3F7mq66dv+stdx71XPYrSU4yuJ49r3p/LY1VFBYYyTK3E354a9jU1RK1egbBusV51W3FkloZBhyscvljDTu5y3nwMD8muej63wsD6C3msNOLZliORabt4Suai6ZHAo0Zv3VlBHVjmI1F+XVMs72OBPZtstEnFXmj+Ru5MpJ7PS1RkfG7nXwp73L6F60jd1xaVHHHckVmYmaW6Vsu4PSLcWY21tofX6HqF1kNbHJbq5M/oW8dEugzUYkqtcWqhkEHW0wOYRaumRz6GeKIc5A6iUdKfiu9j0FrStJfDP6agb9/A2n/vZdQKA0xsJzsF3nIBEVwjGIXRI0P3bu3Mnjjz/O2rVrsVqtXHTRRdx9992YTKZazxs5ciQHDhwIGf/999+JifFbptesWcOUKVNC5px//vk8//zzUe9RCKKjzDERQwbF/93feNg/EK5+UMi92ItX2oOidAYSwu5XkiTMpqrCgdWFk6xUWSYssUk4Sk2oWmS3mSwbkZCC5hgNZjqkdkfXdXbvXRfxXIDs3Rs5bfC5xMSYcbsb5jbr3KENGR1TWPjt/xp0fnUkSePyUR9zxaiPkGWd7Xu78tQ795NX2Drs/NHdTMxf31StR/y/zDGtC/nkYP3cPaMt+/jZ1ZoCzUwf454Qi8ydhsN+i4w3TKFNSaIQKw8q4yk1VIhTIyRoZUwoW0lfdgNg80YX8Hx17ldoXpUSg5U4XxnpzgPI6GxQu/C7tSMlpiorZvW3b1rJPr5wxlJorT3uKCim2yRj65mAZJCxZjWunYnfyKGTNCwF556yiObHmoUWawZB16dHW00LVjiLVmUAdvcBMrbiwtqLNlZ/MsDPg0ezqccQTv9pAem7NzXKwhNtTNLRil0ShKJJxzftvri4mKlTp5Kens7s2bPJzc1l5syZuFwuHn744TrPHz16NNddd13QWDgh9dRTT9GlS5WFNDGxfoVvhSA6ShxVF1n1Y4aK68hOiKJfWc3Hbm0/ihyPJElBe65pNYokhirHE+xdyS+KnHbcvm0P4mytcZYXomkeDIYY4u3JSJKEs7ww8r4rcLtdlJQW0DOrN7/9Hn3cRSXWWDOypOFyuTDHGHG5G24lirM4mHHlCwzo7m84++XKP/HGF9fjU0N/j3FmiamDYxnUQWbpFjclTaKJ/L+87rZyko1e8r0GQn/B4RlgPsIVsZvZ7TOQIId+60qQnVxn+4G3Ss8ML4qAUmr0IJMsvGU7l2tLv6V32U66cIh4tZRi2RoxHTxeLSWteG9QdpbmU9lgP4UP00LjX0qMcXyccTGX7fyc7kXb6HF4E/OtkeOOQu/jErpOQAw1NmVfkiQMNiPmtrEh7TcgctXp6kHQO61N36NNkiSM8UYu+HkhH/SfXHdBpWpUWn8G/rw0KgvPhl6n0fuPlSGiqLaYpIbME7R8PvzwQ8rKynj55ZdJSEgAQFVVHn30UW6++WbatGlT6/mtWrWiX79+dV7nlFNOoXfv3g3ep2jdcRSoj1WooWJIMShVYoiGx/HoeNFlZ6PEkCyDwWAkztoBuUYTQYMSQ4f2fbHHtcFgULDHtSIhvj0J8a38NxWDjNcbncXH53XTtk17BvQbhDkm2H1mMtX+OvpUlYXf/o+lK35vlBg6peN2Xpg+gwHdf8PtMfHc+3fx6me3hBVDACUunfd/KWftPjfD05v2W9qaQisjE49EPT9O8pAp5SGhkyQfRCK8AQD8laGlSEU1w50kScyxjWRdTGdkdC4q+NF/rKYFoeLxwMINbLBnkm3pgIaE5lPRkPiy3cjI1wCWdDwXtwf+SOnJ75403io9kyLNEm5q2G1LUu0p9fVFsQT/Tr0lap0tODL2bmTKp09z0ZI3yf7FA+iBYO+momPJPkZ/PQ9rWXH0J1W8Lht6hxZyDMfK0y/k3asfJLtzz6Dxdgd3YS0tCv3dV6Lr2EqKaHfw6GWmCpoXy5cvZ9iwYQExBDBmzBg0TWPFiqapPN8UCAtRExPth22TWIWCLtzwwGZdrxII1cVPXUIIwO05QkHRDlStyvShyEbibG2x2VKIs/mtQErF+YaKANfKqtOKIhETE11sUEyMGVmGtNT2dGzfjsKifFwuF5bYGNq2SWZ/zkF+Xf8HzvIqgVVpDWp83JDOn4Z+w00Xv4HR4CMnrx1PzX2A3QfT6zyzwKnzwo9eLunVtN8/vj7iDwi2Sl6cuqGWbtT+G9MU60bw+fDiRVciVxCP1Li0LnRJ5p2EUehHvqZP+U6mHFnCfxJPp9hQ5RqxqOWAxLcppwXG7J4Szj/4XyyqC4epFjeKJOGIsfNLuwGUxPgtPb97O7GhuCMZhsP0Ne1hhLlpamFFa1hRnVXipz69yGRd93ehPwQHc20kntuB2PCxzQ1CLfXRZe9G0ndvYkOv06LPOpMk3LHWuudVEC6mSNZ1Tv9pgT8GKULa4PAVC0RAdQskJyeHyZNDY8sq+fbbb8OOZ2dnc8kllwSN2e12UlJSyM6uO45s4cKFfPzxxxiNRgYOHMi9995LVlZWyLybbrqJoqIiUlJSGDt2LHfddRdmc/Sxp0IQHQeaWgwpRgUkU4ObZEiSsWJf9RdDeQWhgZWq5qXIsQ+bLalOMQSQlNgKk8lca0q92RxLq+RkKl8ao0GibeuKlh4KKLJO547tyOjYhtwj+bhcbmyxRr5dtb7W524yyHh8tb9yMUY3t17yGucM+g6AVRuG8MKHd+J0RX/jAPjvdq2OTK9oCU6hLwvUlYpcQbqfMQ+b7kLTQdN9EIWxKijoN1qFIEm82+o8rjryNb1LtpNVspNV9t7kGxNwawq/JfQMOcVhtPFh2oUMO/JrRZD3YexyOQ4tNhBUXZ0ic0LQYx05INyaShAVabEYJRWr5Ing9dNRy3y4Dvlfo/o2Zq3O755OLCmfRFdvLtfGLccS4ZrRoOs6PocX5z5/XJis6/T+YyXr+42gzBqhonUYYlxluGMs0cUghYkp6rJrI6O/nheSpWYrLWb4ClGH6FiiI6HJjb/VR/7CVTcOhwO7PTR2Lz4+nuLi2q2YI0eOpE+fPrRv3559+/bx2muvceWVV/LFF1/QsWNHAOLi4rjhhhsYNGgQMTExrF69mrfeeovs7Gxef/31qPcpBNExpjEusvDz/eNSlBWmw+wIWZFRKURXQzPJIokhWYaCoh21rpx7eCsJ8f4bVSQxVDnetUsvNm35JeJaPbv1wmSUCIRMyf4P3koxBGCQdRRZokPbVhhkjUN5R3CW1x604/FpdGhtZf/h8Jk57Vrl8NDUWXRuvxtVk5m7eDKffz+ehgiaQjcNOi+U8FHzNtmHSVIpUM3VjujoSKzztmadtzWJUjnXm9fQ0bi3zqsEBf3W4w6tSzLvtvoTZxpasy4uM8hCFCHAB3QdXxs7j8TNDwryLlQtIUHeCa6isNeNpsCjjoSEHlHk+Dzwuvs8dvja0Nu4r9baSAWr8kAPI4ak6Bu0apLEj0PGoiOzXW3Ph2XDIlwzfD2lcGO5Sw+FVLSOaLGJQJ/ff+LnQedFNz9C1liXXX4LlahUfeLQvn37iFago8Vf//rXwM8DBw5k+PDhjBkzhjfffJO///3vAPTo0YMePXoE5g0bNozWrVvzj3/8g99//50+ffpEdS0RQ3SMqCteSDEaGiyGACTd4q9AXc/PGgkodW+hzL2TEtdmisvX4fLkA+HFkKJIKIqE21MU5CYLh9fnotxVQLmrgGLHQZzlhei6HiSGFBkUGdq1aU/vHgND3GdmcyyDTx1EWmr7IDFkUKrEkKHinyKDQdb8/xSd8vLoYpMiiaGhvVbz/N330rn9bgodCfz1tUf5/PuLaZ4tOCRKNSM32Tfx56TfGG3eDQFrVBWFuplny8/AqxlqC/GgUK2qDB1yMEp+SDiVYsVWY5vhX7s+pr1cFb+aBDm4Lk9lkHcf4x5/MLa7iNM8GxgubaSrcjAozqmywGO4bVY+XltRzyj0uH/gQE6V67GyNlKZHpzNIkng8Uj4yrUQMWTtaiP9hgw6XJZGu7GpdLgsjfQbMrB2rfE6VJDTJj0oG6zymjXjomr+ItVyFbU8+No+h5cDn+2jdGtosHKlxcZSV0xRRXzPqb99V+8YpHBZY7Kuk5qTzSk71pOaky3E0EmK3W6npCT0fVlcXEx8fHyYMyLTunVrBgwYwMaNtVsZx4wZA8Aff/wR9drCQnQMOCousprXUAxIeipeaU+URYn9jVx1gmOPNN2Dw7kVWe6GWWkVZBWqFDJAyHmR2L13XVCNIZPRTJfOvWiV3I5KvVVpJWrXtj1t27TD4SjA43URE2OmbYo/BsmgBFuFoEoM+X/2iyH/cR1Z0rFaGtZIVZZVJo95l4kjPwdgY3Z3Zs27jwJHUoPWO5Y49BgGy/t5zVP5bSnUmqQjM79sEJfbVtVeGTrc96VoLUX1sChVr9gcqbB1ZZD3VbafiGnXisvw97OraUGKVOCxTI8BXWdATIRiijpIskR6Z5U7+CawLoBV8oS8TiaTHtJ01drVRrsLUkOWrq1BqzM2VERUj4uqdB2mf72Mvq6dKDYDaqkv4BKzdLQEj1XTGzWrTKfv3kT67k38eupIfhk06v/ZO+/wOMpz7f9mthetii2rWbaKe8e4YMA2BGwwNbFJ4gDBQBJI4pMECAk55QvhhOSQRk4CySEd4lBCaKHEgKk2ptkY94JtuUuWZZWVtpeZ74/Zvju7s9LKBfa+Li60M++8885a2vfe53nu+4m/wbH3ILm+Jxrh0VqDVFSNFaGGpqamtFqhvr4+Ojo6kmTyJxtFQjTIGKwUWdKxiEJMRynIIwkKhyGtZ72IUaxGJ5jQ6U24Ay3IsnrdQ6+nBZstHiGIRXWibtYhbWQj1XAxEPSx86P1TBg3g8ohNTEypNOBXqe0oKgcOhQAgx4NKTIiPytRIQBRkBEJIyBhNurxBdTJm0EvEAzFd5Gykm6+c+0vmDJK+Vbx9BtX8NAL1xGWBvqnIlNhkglI4AqqtdroRxf5FJRKbnZJ5XRJ2QoJBd4Ojub83p2U23sx6OK/BzFnaBXJ/WAgl2NztMj7BvuatHOZbAJSCcVQsZdLLJvS3lZl/4+2Eck8r1syxtaQvKaUpqtA5flVsXPpY6Higjr6Wj5ClOK/b1ZvZhKRWBcFMMHlxtOa/h55DmZ+37K5TM/84FWGdB3VVN+jqQZJlrG7nEXV2CmMsNjfkorCYN68eTzwwANJtUQvvvgioihyzjnaVI1RtLe388EHH3DllVdmHffCCy8A5CXDLxKiQUIuIgSFJUPxa0WCUiaiIxGQWrGbRkc+oLP3HpOkAP6AE5s1bmyl04t4vd2Ewn4MBiN6nYlQuH/GOnv3baV6WA3R5esjhEsUiRVO60SZY8c78Qe82K1mKocOSSBAChmSJJmOzuP4/YrabHhVOS0H21j1zg5N8vopzRV8sEtJEY5v2MEd1/2UIaXdeHxmfv33b7B2c35/rJmhbIDn1gZ4dp8akVTG5Oc+nXx9hehjrKGbdz2ZzSFTcTRQwfDOXnbpq1hvGMlRuSxjEfNgIx/H5swRJJmlprfYEqyPrT1KKAQk7ix9Ksu10Z9TSYxyzq5T/ztJbLoKYChR/5sXBDDbBNZcfQPDV79H80GFdKS6V6ehH2RDq8u01vqeomqsiIFi6dKlrFixguXLl3PzzTfT3t7OT3/6U5YuXZrkQbRs2TJaW1tZtWoVAM8//zyvv/468+fPZ9iwYRw6dIjf//736HQ6brjhhth1t99+OyNHjmTChAmxouoHH3yQCy+8sEiITjYKLqlHOxnySIez3tsdOIDVUJ91TBSBUDd4Auh0RhDCHD+6m3ACARIHoFzw+3309nVSUT40Ixk62t7Kxq1b8PridUBWi5mzpk+kYbiSbjt4uJW3PtiO2xMfY9DrCIZyK35K7UauOKeeSSPtbPjoOJef+xw3XP4Qel2Yg0fr+Z+H7uDwseFZ57AawKNBzW/Vy9w03sWKj6KqtEwRIKXY94a6Vv54qA6vnPn3IDOUjehq83YIhSiVtfXHcoQ9IMuMDXfQ1NfGHl0VW/QjeF/XhFuXxUU5D7M/LegNa5PFqvsLCdiMYSaF97FFbEoamDv6pP4cWh9RZ9P+b2WwiKw8/2oWvf4IzQe3pblXD5Rs5NtHTGvrjKJqrIiBoLS0lIceeogf/vCHLF++HJvNxlVXXcWtt96aNE6SJMLh+Of38OHDOXbsGD/+8Y/p6+ujpKSEs846i29+85sxhRkohozPPfccf/7znwkGg9TV1fHVr36Vm266Ka91CnKhHcE+4Wg75ufG76pLfwtRL5SpS73eoCMk9+GTsiu/AGzmBty+/TnHaUVqLzItvckApk06k9qa4YiRgEQiGXpnvbob9YXnnolOkHlpzYa812ox6bhm4ShG1dkxiBKC4EISv8HYhtcAeHPDXO7/x9fxBTITgqtnmCkzQZlFYGxFmFufC9ClIcDhMITpDWrZOLV1pU9EhejlavN2ZhiOIofCSDLc7l1At2zOPJcsU46HuwPPICITTvBoCgdCfKSv5Tell+a1hryQsvFHozha23CooaVFYE3lOYpcP1yFjMh04z6WZUi1FRKHH1cUe8M/NyLn2Pt6F7InWIXd7eS6J3+GKMuEveGMKS57X0/eZONIbRPPXnlzznFX/PN3/eojllqXVFSN9R/nbVuFtVHbl9OBIBQIcHT/RwOep7phDPocfcdOdxQjRCcQhUiRKRJ5FxAEDBj1jti33ESDxWwQBT2iYETKkTbTCkEQaW6ciSwHMRjM9Lk6aW3bnfO6qNEixOuFZFlm49YtWa9754Ot/S6z8frD6EQZgyhhMuykpvprGI0thMN6/vDPG3hh7SWoTV5hFbhojB49IUBGkGSWTYNfvgPpRCb5dW+w8Gmo6YajXGQ5yGg6EAWQo5GxUJAv6Dby29BZ6euKbF6fDa3PSIYA+kTtPbbyRnTzjOeqYuqwbBJ3LWhqkmniLSBebJ1Pv7B8Icsyob6QIqsHgn1B9HZ9xqiTLCv1WXtDwxSZur2M1qoGavYpX2AKJVEf7D5i+USViijidEO/PqWDwSA7d+7k6NGjhV7PxxIDldTHD7rwCzsJii0ExUMExRY80jZCco9yWqet0FlvMOOwFa6yPxTyo9frGFY5HFkKaiJDZlPcaDGxeLqz63hSmiwT3F4/bk//m4K5PH4c9qepH/4ZjMYWQqEqOo/8hSrz9WRjWtfOMCFKQXa0BXlnn/L/WdUhbpsdpiIt65PJK0gLtDO9Cw37GCskkyEpqBCcM6TDXMSu9NkEARNBpFA4RobCgVCMDIWDElaNzVn7A0vYiyXkja0lCjW5eY9k5S+ueXSHrXmRo2hR9LTD6wi5ggVvjRGdr+ONdoVzytDxenvkXOpY5f+pyj2XLtnYM1GiXtO2j7aaRnaPmsqR2iYkjfm7Yh+xIoroP/oVIRJFkSVLlnDHHXdw3XXXFXpNHysUKkUWxqlI6lMgE8Qn7cOib0YvlCFgQEY9UiSKRox6pZnrEP0Eenr3ZO1SrxXhsF/pWn9IW3h/yJChtB87jNlsobpySCxSFNDY16y/0OuCzJn8M6qrHgHA65lDd9s9ECpjdjOYkHj07S56vPFdrdwCX5xpRpTDfOufwaQUmcOo40tTQvz2Ai8rWww8tKN/Uv/8IGMnyDh9VzwqRJwMSSGJDXIdLzE2YwbOj4E/ms/ny77XmezZGzseDkpsNjXytONsBgtzW9/m5REXZjyXSW4eLfKWPULGCJIaokXRk8b62bbRxJTp4TRzw1zIei8Z2l5IltG797hoe+4IFRfUYbbFL1RT7qmRkmwKsVzps2gfsaIirIgi8ke/CJFOp6O2tpZAoDApl48rCqUik5EJCq3KAZUPaF/oIHZDGTZTAy6/eoTGYW1SfH0MOvSGSsymoYTCTsLhAKGwl57e/VmfSQ0Ggwm3pytr+41EHGk9xJHWQwBYzGamT5lEQ30tNsvgEYohpcf5j+t/xsg6pcbL2fVV+o5/FVEW0EkKmRDlcGTTTP6a39IR5Pkd6cXavQGBX67XM71SptHR3+YpashUT6Ssa7y+g/f81ZQJPkaFjyJGhkkhCUmGR6WpyoFMm2KELfzDOIuJnhYldRYhQw+WLSjwM0SXray7R5c9VZMqN48i2sj1c7Z3KRG0RQejcv0nR5xN1StPUjlvGDqT9gLobNxJEAUkb/q/t3uPi76Wj1hz9Q0YLCK9sjVduZeFlGhViKnV8hRaEVasGTr9IQuFkd3Lp6IfbYHR7xqia6+9locffpirrroqqYNtEYVXkUm4QcheHyQTBJ0Ho64CO6PxBA4k1QiJohGHtQmzaWiS6zQI6PXl6A06urr7VxtgNJqpKB/K8c7Wfl3v9flY+/56dOKZWEwGjAYDgaD685pNenz+/JrZThm9ie9e+wtK7b2Eww66j/4Yn3s+oiyhk4KIUogP9vv4zWs9add2e8lIhuIQ2NBhZENHXkvSgMxqNIB1oTrWhRQTwHI8LBU2Ml04AsDOUDk9KemY9GkEnDo7e/XVNHmPICHEI0MFVJAl3g9ZZmtlei8zrddvDo7E4Alznf2tvC41WHTsdg2FV9uoviS7cjAfdDQ20hPyUNu+P4kkiJLM8NXvKcqxyNpjyEJKtCrEZATWnnu5agSpUIqwgUSqiijidES/CZEkSRiNRhYsWMBFF11EXV1dWldZQRC4/vrrB7rG0wrZQvL9l9RrK5aOEiCrpRKLeSjBUC+yEEIUDRh0DiTcBEKdhCQjVktZ7Dq9QYcsy/T2HdF0n1Q0NUxCrxMwmwYW3Vnz7geaOo9MbK7hg+2HNM0pCBJXfepJrrn4UXSihN83ga62nyMH6hCJkyFJknlorfY2BerIXyU2UHRj4f/kOXyNd5ga3E+voL2QuEc2gVWkw1xOpclFb8g6oCaOWSEIeIx2rAE3HoOGxqEZ4ExtaaEBvZIFt7kEc1WvpvE7AtWMN+auj3xr7AXsaa7G7u5h7nsvxLyFAJoPbmPR64+wZvaluG2OWBow6ApT+/rbGQlFW01jEvlIQ6Rn2MsXXZt2KjWCNNAiba2RqiKK+Dih34ToJz/5SeznJ554IuOYTyIhUsNAJPXogpp6lImCMRb9EQQBs1kxVfT5j9PpWp9UK6Rzmhg6ZAz2iBt1INiTdy2R0WimqWESVZU1AAypGIrJaMavMW2WilyPWGIzseCs0ZhNBk2EyGZxcdsX/pdZE5WmsX3Oq3AeuwNRMsZTZFIIUQ6zs82Py1+IVMDJiCsr0YPH5KlM5oDiL6QhMzTFcIBp9UfRGUzU4klqWTGYTtWTjm/l/ZpZ/fIzytXANRGJyq5pPu1FxAfDQ6kO92a1AYgpxgCXtTTJWyiK5oPbmCjsp/LiOsy2SMrMDsFLg7S/XJLWcywv5ZcGj6H+KsLy9TIqooiPC/pNiE50x9vTFQMxWlS8hXoISrm/rQqCEbOpLPY62pjV5z9Oj2tn2viw5Ke9YwswmVJHFaGQNjJUWzMKq6UEs9lMqWNIzFRRrxfQ6WDcmEls2qretb4/MJsMXH7+JJpqy9DrZCRJxmEz0utWX/PExv38140/w249giQZ6Tn2n3h6F8dSZBAnQ2I4yI4jg1vMPegQBLqx8SyTsAl+LLIfL0b1ZqqGA9xof5PUiFamVhgDWhZSWpH0mK7d1HUe4JXRF9Fnjjd2FGRJiU5lYTrZJPpJ4xKVXbKA12jD19oO03OveXewhsOhIVltAJIUYxGS8MacKxl5eAd6SaktsoywUrc4PUWnL9FTt6Q+rRGrZuWXukNlxq7z+aK1pklTpGqg9yniREFAEvIxelWf5+OOfhOiurr0JoZFJGOgZEiWZfw5nKejKLE0IghCUod6nV6kL0ddUGfXRzhKhqV1mVdDRXklZaVD0xqzRpdfV1OHThTYvmsLPn9hSIbPH8QgEutVZtTJTG6uZO3mzCm+C2e9wteX/A6DPkgwMJyutnsJ+8YmpciAGBlav9/Hqp0nQiAw+Om0F/UpNvUZWIMghxOaqWZuWbHYuo4tznoG0sZjiuFAWpNVZ9hMSH+UQKuH0R27OFQ2ArfJjs3vwmuw8sykqzIXA2eQ6KfOnYhkZZfMm1MvZtSL9xL2hhDNOlWvILdkZE+oismGQ7hlI3Yx+ffCLRn5u2dOOlkUBLwWOw9+9nuc/84/afhoM1ULayKnMvU2k6laUI3ro75YaFSLQkxLRK2/HkOgpMreOG+JprEDuU8RRZyKKJgxo8vl4kc/+hFf/vKXaW5uLtS0py0G6joNEMaVVUIfhdVUj9k4JIkM6Q06fP7cabBQ2E8g6MRqKcegNxEMqSt4jEYlKqRGhvQ6AVGE2ppaRgyv4XhXJ4GAl41btmQtktYCj9eHXoh8AMthtuxNr2A26v3cvPgPLJz9CgDvb5vBn/75bS6fPpzpjcTIkBhpahslQ79efaKiQ/mSocEhUBN0hzU1U23WH8uo+NKCeAQqGQ7RB3Mq6XmnA1+rh5E9cSsJXamBoa2P8nbtHHYwMk2ZlUSKAiPYEoxL9PskMyBTIvqT5PrRB3JZyzgyZCTmVUepubwuTYIfjfz83TOHyYZDGdcuy2ATs/89+cw2Vp5/NV8oC2NwqI8TBAFDqRFrvRXPIU+sa/0VHz3LY2dcgyyL/Xao7K/HkFrdUKHvU0QRpyoKRoh8Ph/PPPMMV1xxxSebEAmFIUOg3XlarzOnkSFQGrRqgSQF0Ot11FSP5+DhjarjosXTEE+RKfeP9yKDqNGiQM2woYiijEEvsvb9gaXRSm0GREFJRRxs605Ll1VVHOXfl/2U5uEthCWRh1/8Ak+8tgRZFvndqmN87YIhzBxpiEWFAORQiL+tP3VTZTYCeDAOrMg5EvIxyCHGBg7R4DnCXP1OKMtdAB9tupop7ZUtciQgJUSgMi4Hx7QKfJHu7eZaKyVTK9Db9AwjxGTW0B3+gKc8M9ntGsrEwx+ys3YyLks8vWYKePCbbHkRtl5sMa+gyvOrkpqxOsMmnvSexZZgfc5msFmjZ5FBB6ZO5yxyt5axjSmh5srhGBzKWuqAqe6Hecozg/d1E2Lj7C4nc95+jrfPuXxQPIay1g0V8D5FnByEtRQVFlHY1h3FtmiZoTVFlghRp0MnmECDulynj29uiZJ6g0Fb3xm93oReLzCkogadTuBw6w6CCQaJRqOZUU2TqBxSkzEqBMmNWaN8UBRl9DpoqK9Fr5vBuo1b8XjTCUhi1/FMcNhMNNSUoBeUyI7bmxzFmjl+Hbdd/b/YrW6cLgc/+9u32bR7atKYv7/bzczhFYiy8oYKUphd7X66tPVBHQDyj/JcbtjFBN1xRoWP8oFUywPhsyJn+kmMBIGgYGCruYmt5iZ26Zr5N17JeVmvZMmY9spVeK2loarOqsdYaUY0iJTNqST12WK1TMxnfdM5XL7hcUwuF25zCTZfHzICT86/UdvzR2D1KhEN9x4X7r0uLHVWRLueduNQNpoa2TxhBKP0RwcePRMEjpmGalpTxawhacfMVpmrreuY/PpaDnTY0nyGBqPrfE6FW4HuU0QRpzKKvcwGGalkKFdUCBQyBKATSjQ7TyfOoYuQFJOxDJ3OlNShPhUGvZIGA9DrRYYOqWVYZS29fZ1IUgCDwURF2RDFzFElRabMEz2mEKHozwA6UaZ5RDWNw6vo6OzE5/Pi9QWwWQw47CY8viAr39yousZFZzdi1EmR9yRMaaS7uCiE+cJFj7F0wT8A2Ll/LD9ZcTvHeyrT5uhyS+xu8zJhmLJgUQri9BTaSDEdDjFIr6S1IaJMheDl04ZdSMEgH8lDCUkCV7CNVxiNh8KYVu4JVWVVakVVVDbBxw321WnncxVeRyNLOaETKJlaAeSIxgSG8/r4i/jSynsRIwU3EgJ2jxOXxaEtouF2Utu+P+EYbBUbWTP5Uly2stjhUkEbQ871jHtDw/B6wGzJ7I4ty3KMK6vVGI0/U8D4m01J8svB6jqvtR7I5PNw3ptPFiX3RXwsUTBCZDAYmDlzJqWlpbkHfwLQnxQZxMkQgMGoxybmdp42GOP/jFEyFJ13aMWYiJosM4bXjY+QHTHp+iEVCqnIVC+UOUUWWX+EDImiTMfx43h9fuxWI7XDhmDQC4yoqYgVR4uCjF5USMnxzpGs33YgKVIkCHD25DqmNJeji0SHREFiVI2V4ZUeblr8E84YswmA59Zcyp+fu55QWN2R1ekOI0rKPIIUptyYzWyx/7iwrJ1x5l7KdUGcAYFfd4yLPlGWq5QHX6rbxAeBSh4NTaWbuOeOWQ5oDhDlSnHJgi5nM9WnPTP4jFVJc+abOtLaUFU0i+ht6h9BsWiMoYM9QjVHho6k/vh+5Vpkztv0L54/a2n2YuPIA819/4WkiMbeERPjxokJcMrafI5yPaOMyO53/Uw+35ihXklZhyCq/4Mm1RgdTCZphWoEmwit9UALVz3M8CN7cw8soojTEAUjRKWlpaxYsaJQ053W6G+KLNN5oz6787TdXhWZX0i7FqDUUYUoCnR07iKUUDBtMJgZXjuestLqNDIUIz9i5sJp5f6RefTpKbKDR1r5YFNyesxmMXPujAmMaVTWm0iG9hw4yrqtGfq0ybB28xEaayxMaS5T1kEYi+UDfnHLrVjN7fj8Ju77x3JWfzgv7fpUlJvDgA5BCiOEQ4yrhAqLHOlNVojiZaXaZ9mQfehFkEJhbm6bGTmXfX47Aa7TKzUnSpf6ZPjQZr2vNcWlptRyShae9MzCI5v6nTraG6zMGYEKe0JIPm0Rumg0xm1OjmKMbt3OZe8+xhtTL8FlzfxFzO52Mvf9ZNNESRBYM/vS+INEnwkJQVCUZFYhoLJ2mZArxJE+G5hlBEFOJ5+ygN3l5GC7mS3Hz+SSiu1J76XPI+DZepwhs3On1XT2zB/RoizHGsB6rCW01TQOiBRp7YFWW5TZn3aQEZAKUEM0aIatpxD6TYjGjRuXs1GiyWSiqqqK2bNn8+Uvf5kRI0b093anEdLfk/6SoejPeoPiPB2S+5CkIKJowGqpiL3/mchQ4rHysmrKSqvw+XsIhfyYTGbstgoMKWMTiVDS6zzqhQ4eaWXNu+kF1G6vj5fWbECvm8aokdXoRQlRkJAkmdfe25U2PhHPrT3A1EY7ogjljgcZOvRHCEKQLucI/t/vb+fg0dy/VxVWGD9EjpEhMRxEBK6fJHPvOj0DV3QpG9GlZa3o5TCEYWufDZeGdNnn9FtYIHwEwHeDiyJHM4RlckBN2aWW4srUTHVY2yE2Dx3BdKO2gtlMqSMtEagjhwXKSrWRvGg0xpbBXHF063aaW3dwZOhI3OYSjN2KG7XXYsfq7UtrqwHQWtWQlCaDzEQyfe3KPO0vtTEv8DRtl6cTyij5FPfsY9VCxVF6nXNc/D0Om9kbGsbSvodJrx5KR9iVuYiw0G01Ct0DrYgiTkf022Rk+fLljB07Fp1Ox3nnnceyZctYtmwZ8+fPR6fTMX78eL7whS8watQonnrqKT7zmc+wc2e6QeDHGTqdbsBkKDaXXofJUIbFVInNOkQTGdLrxVj0R6/XYbcNYeiQOkrsQ/pFhkQxnQyJohwjQ4Ig8cGmrVnfk9XrdiASRhQk9KJE27Eu+tzZm3U6XUEOtB+jZtg3qaz8AYIQ5MjRC/jqT36iiQwBXHeGDp0cJ0OEwxAOc1aVn9une7AbBvZBLwCXlbVyTcV+AKRgiB3+Mk3XeiQdogC7QkMiabL8iVmyt1DKucjrxdZ1CCRHZaLNVDcEGtkTqmZcXwtLDz5LKKjt/UhNHQ3pU0xEoxGonpRWG27JiFs2MnKsjtLJSv2QmhhDlhWCsTc0DEGS8BrT+7NJCDEyZOp2Ute+j/qjLYzar6SJ9zRM5nB1IyFR5HB1Ix81TuFwdbIKNkoky8Ts9UM+jxAzU5xiPJjxmij5NE5RXKwRhOT3OFyDjMjzoy8n2BvM+uw+l4TrcDrhjMrj3bbkqFi0rUZLY//6xUXrk2xuZ9Jxu8tZbNVRxCcC/Y4QDRs2jO7ublauXEl9fX3SuQMHDvDFL36RUaNGcccdd7B//34+//nPc++99/L73/9+wIs+HZCLCIFChmRZJiz3IejCiIIRWS6JdaOPj0uW1MuyjD/gBALodEZstnSCFE+DJVyrTz2nToa0psiUMUrh9NFjnRlVZInoc/tpPdZJU10ZoiDlHA9QV3mEs6Z+m5KSvciynp5jt/K9387F68+dcqmwKmRodq0yNkqGJBl2HpPo8YmUGiWMoox6lEjGoQ+zoKKTlzqH4ArH/2xMQpjZ9uN8Zdg+JTKEQoYAZEk7yZJCEt2yNnPMTN/gcyu7cqijZJnSYB91XfsRkRndsZPA/BoMKmbXqe0rougsic+dGoGqFHtZZNmk9ZGABEdoQeaFsz6P8O5jjG7dDsDu2glp6TK7u4fRLZvZ3TQlKQokSBKymP79L5dFAIAkw4veKbx9fCRXf/QTRIGI6WJ6wbRSXyVzScV21jnHZU4zCAJ9JeXsWC8x+XxUPZEels9n7zWfTor6DHZbjcGoTyqiiNMF/SZEf/rTn7jmmmvSyBDAyJEjueaaa/j973/PkiVLaGhoYOnSpTzyyCMDWuzpAq1RoaDUjS90UFGRRSLjomDEbmlEHwmoR8lQdA6vr4Oe3r2EpXhURddtYtjQsZTYlc0plQylEiHlXIKf0ABSZKCQIb0o49foTO31+WKeQqW27GmTs6e8zbc+/2usZh+hUCVdrT9na8t4etytOe9zYbPAdWeIGAQp5j1EOMz7hyUe3Gai06c1QCrQG9IzyeHhqmFt7HDb6QmIlOJjnKVXKdSWIRQIsdNfSnfQQJnoZ6zYATTmnH20dAxEcIYNmnqQmeUAPiGuOCuT3Fzqfhc06BkcoleVfZzRsTF2SERm70Ez40b5tLWvSEXkomh0REDK4u8jRCIl8RPJTtPE22NMXURz6w721o5XCqpT4LKW8uGkuenLSb1p5CGaDdmJJIAowCLLZtoqymmraWS0/mjMNygTBEHQZGx5oMNGxZMtVC2sSZov6dltclIzVa0NYAfSVqO/PdCKOHVR9CHShn4ToqNHj2ZuRBqBTqejra0t9nr48OEEAieiPcLJRernbjYy5A2lqzUkOUCvZxeiOA5zxMskkQx19mxPuyYc9tPWvhmYQnmZ8gGsRobyTZFBbkm9PnLMbtUmC3dYDegj9UMyYSwmPV5/cq2ETgyx7NK/8pnznlWe3TOL7rafQKiCXrdL031e2SuzoTXM9VPCzK4jRoZ+8YHGSEwKuv0CojHMRIsTSR8nWADvOcv4a08zXeH43OWCDzMhfOjIlgb7C7P4fHA9JWgjlJ/uXUOF5KFXtOKQPIx0HUZnF4HcCqleyaIaCnmjbh4bKqdx8cFXGNuzm4ftF9Po6k6rk0kjK2pIYFJavIkAXvRMZneoJrP5Y8Rx+vDQBt6YeknS2pOeJZPqTGWcQ6PMHpSU41s2O511jWhJ1OaS5ls9fbha++jd7WLtjV/GaBXpla1pLtuJUR+t8vhiW40iisgf/SZEo0aN4tFHH+XKK69k6NBktURHRwePPvooo0aNih07dOhQ2riPO9TIkCzL+MLZu7X3elowGYfEJPWyLNPTm13u2tG5i7LSKvQRtpIPGZJlmd6+TkJBpeh66JAhgJA1RQagF+XYPMOryrFbzbg86hu7w2aiscbBzn3HWPl2S8YGrRWOLr77xZ8xsWkHALv3XYcleCuiLKKTgpSbtYfvu7wy974nctvMELOGBXlwW5Q05F+nUyYqUTkpmE6G/rdzQtr4bjmRIKoXbffIFn4nzuXS0GZNEaIKycOoQBvhgEIiJQT2BIfRFPRg1EuaUlwTenaxvXSMcjLhgl5DCY83f4Z5h1bTZ3KwOehIK7zO5VSdOido9yZql8pyuk8fqmxMU5WJhJhr+oihuj6Oh0tY4x+DlOPjTRBkSkRtJDSachzTEGTNyHmcwTs5r+kNqxBvWabE1UOzoR3DBAdHzcPYZmhCDqq8pwlRH63y+P601ZAEoZgqK+ITjX4TojvuuIOvfOUrLFiwgAsvvJCRI5VviwcOHOCVV14hFArx4x//GAC/389TTz3FvHm5pdEfB+QqnEbnQQ5mj5ZJUoCw7MJAGTqdEOlLlr34OBTy4/P3UGaOE08tkvrjna3s3L01KeVlNpuZMmEyI4fXKs+QkiKDZDKkFyX0Opg7czwr3/xQdY0Xn93MRwc6+PuqzAX2k5q28t0v/pxyRw8en5Vt279Pjf3SWJd6UQrh9ubTF00AZB7aosM+hTzSZImQGaIPMt7qUshQOF4rJMnw1+5okW4qE1HubSeAnjA9ahGcSBTghdTGrGnLkBGQaQi0x8jQFksT/yw/F6e+hCm+A5o7tO+318fvnWEt62pmxq+PpL36i7N2v8EkeR+clZvtafEwklIKvi+3rOdT5h2IQvz4p60f8JpvPM95Z2ScI5OqTAvGzjJQJ32AK2zEJqpJ88HjEyPkM/0fY4rxIFcPfRPLtQ2A0q6jKfxUzqibx1pC897NmuTx+bbVKLRqrYgiTkf0mxDNnj2bxx57jF//+tesWrUKn0/ZTE0mE3PmzOEb3/gGEydOjB176623CrPiFOzdu5e7776bDz/8EJvNxpVXXsktt9yC0Zhd7vzwww+zevVqNm3aRHd3N7/61a+4+OKLC7Ci5A+pTCoyf0h7j7EokQmHtV8D2lNkxztb2bQ1XSbv8/l4f8M6DPoZDK+tzZgi04nEvIT0OhlRkBnTUIVBnMpr7+3E5YkTOIfNxMVnNzO+oZxfPrIuw8plPnPeMyy7ZAU6nUSfazR97fdSZxsBCWRIkmQeey/fb78CnT6BbR39l9XPsXdAKJkMAezwlNAlZUvBCbgw8VlhI/+Qp2UZJpAzaiUIyAi8aJnGGOEwLtHM34bGf2fVvIWSUlyyjDXkwWNIV2wl3sdr0GZQqAUBnRHHrgM4Z0zAofOpkghn2MJhdwkYVYwWI47TNe37GKU/ikP0MslwkOnGdA8rAZkLzEp6+TnvjCSzymzF3VpgE+ImmWrkc/sHsPDgw2kkY1Z4B1fb15MaMczl/g1K1Gcw5PFqTV2jqrWiwuz0hyT3W1D+icKAjBknTJjAAw88gCRJdHZ2AjBkyBDEDGqOwYDT6WTZsmU0NDRw33330d7ezj333IPP5+P73/9+1mv/+c9/AjB//nyeeeaZQVlfIhlKUo0J2lo5RHuR6Q06jEZt7r8Gg0kzGRJFmV27s8vkN2zZyojhNQmRoNSoULrr9NjGSsY3VnDoaA8er49Sm4ER1aXodTIHW7vS0mRWs5tblv6aOZPfA+C19echev6bMVWl6CQlGhTtUr/raIDu/rbcGED4//meWkabepll64qryEJheiRtdVPH5SwEJE+8VjqT10pnIsiR9yGxC3xU2aVrV1JcGWpSgoK2P3tz0INPn6HmCOLvpQZ/pA2NczAHfbi8zVkjWG8HxjCh5JiSlgtWIgu6tEEX9L3D9KtKuFD/ctIptVKiT5l3cCg0hE9bP8jqMZQPonO7ZRNBWaRcF08HRslnw+4XaWptSVZsefuYt1gP6FXUaSru3ylRn0K27xhs1VoRRZxOKIhTtSiKVFam948abDz22GO43W7uv/9+ysrKAAiHw9x1113cfPPNVFVVZb1WFEUOHz48KIRIjQwBmE1luP3GJOfpVOh0JkzGsti1ZnMZep2JULa+ZAYzZaVDI9fnltQ7nV34cijDvF4fnZ3HqR42VBMZivoLiYJMY10peqEkoiiT0QvhtMasDTX7+fdlP6G2so1gSM/vn/4KL767kC99SoeuMpkMieEgve580mXJmFAe4I3WEJ0BtSLn6Ad+5tTXX483Md1wDCEcb/lRKrk13bsSbePygSxk/uIhI7InXAMqnUmCOm2EfFbbOlbXz1ONRMw6+A7vj5ijHMvBLt5vOptQ0JwxguWWTSDLXGKNR21S3bUNQT9zQls5f0JH2txqtxYEJVJ0vX2N5mu0QhDALvi5v/dCZMR4fVWwEpPPx5wIeUlUbFlHWDE41FWHGa0RVKI+hZLHnwjVWhFFnC44reNoq1evZs6cOTEyBLBo0SIkSWLt2rVZrx2sKJYgqJMhxXVahyAIOGxNWeepKB0VK6jW6ZReY5VDx2a9ZsTwCej1YmS8EJPUR+uFUv2FtMrk/X5fjAzpRSlGhkRBjpEhUZBADnPkaCc79rZxoLVbITGChF4IoxfCSY1ZAc4/83V+/s3vUlvZxrGuSu64/3948d2LAIFys6wQoQQyJEkyve7Mzr3ZITPEFGJiiYcbmrtix1LHKMRHbacU6Ayb2OFR1DtSMIgUDDKaDsoFb4b54vOW42FeaCdlsntAUap+IdP9NDRDtQQ8bBg2LcIqkseX+Hu5YsPfmbftJZrbNZitCgIhg5JW3BwcyV3OxdzXu5CHXHN5wTMVm+DHJiZ/OYimkKYYlHRYyGjkUzX7NS1fZQmDghLRn2RsKSPiM1vZ35BeZK/WhiMViQXo2UwRo2Rr9J5N1LW29CuCU1StffwhIxCWdQP+r9i64xRHS0sLS5YsSTrmcDiorKykpeXkf5tRc50WdSJm3VDKGEefp4WwFN8MdDoTFaWjcDii8vm4Uqy8rBqdTqD92E6CCX3JjAYz9cMnUDm0NjJWm6TebNEmP7daTBnrhYAYGdp74Cir3t2d5DrtsBm57JyGWB+yaGPWIQ743IIHuOTsFwH4YOcZ/OLhW+nzOAAot+kYN0yHGDE6FMNB1u/38bf1fro8uT70U9VcyvgbmnvQyWFml/Zy+5gwf9k3lM5g3PvFrgsnGS6qoUcyxVRmUjCEKMDVxq38xj8j871l+Jy0Hj0Snwut5/f6DBGXwUS+94lsql6DBbBkPHfethcZ076Dj6rGs7dqHPlCmzdRcgopl2w/GwbzrU4rAs+SZlJrw5GKSWteoaLXhtXTR9XR/bRXN7B71NRBUX4NpmqtiCJON5zWhKi3txeHw5F2vLS0FKfTeRJWpCA1RabmOm23V2GzDcvLdbq8rIay0mp8/m6CQT9ms4USe0VCiw51MpTqOl1dOQSL2YzXpx4pslnN1A4bkjVFtvfAUZ56Nb0Wqdcd4JGXP0K8aBRTmsvQEcZoPMS9t/wnFaXbkCSBR1d9nsdXfRZJjr9HV88uQS/EnaXX7/fx69WZ1piZ/CRiiCnMDU1dzB7ihQiRme1wMmNiFztcVrr9AmX6EHI4zA8PZo/AQTxFllhHNEPfxtfD76Z1qC+TPcyV9hBCxy6pksnyEaz48aCt7mhA6CfpsgS9eA1myJSOi5ojTriY5vadvDZhUfx44rCEAuZsMv183LW1yvYT0Z+3IGpPABJlYuYC8MRxqU7d0YVnSjN5DnkI9gbRl6TXEClzyoR6g9g+3MNoWSl2fuSaOwZV+aW1qWu+qrUiikhFfwVQiXjwwQf5n//5H8477zx+97vfZRwjSRJXXXUV27Zty1ssdVoTolMd6fJ7Me2c0m+sPG28WgsOheAIGAxD+t2lPm60KDBt0mTeWZ9J9aVgzvSJGPVyxqgQgEiYVe/uzvo+RJuz2m1vUFV1CzpdD4FAKf/72K2s2TQtNq7CJvKF2Q5mjjTEnKXlUIi/rVcjbMkf4ENMEsvGunHoQ3T7dZTrA4wr8aATiJEhQgr5EQWYYHEqQZBIK48KvZ+ukDFtXgUyFaKPsYbuJDIESvrsTLGVyRzmdUbTgQ1fWGSHWMNzuqnK5TqwS148Qv9MIfPCACIIXoNKEXUUgkCfpZSNDbNwWdKtsTPJ2VPrgaLQSnKixCof9OctSLQnADIWgKeOy+bHlJZmkqH95TbqltRnaNehTNq+6ijIuZVfM9at4swNrw04WlRs6lrEicBABFBRdHR08Jvf/IYhQ7K3RX7sscdob2/v1zpPa0LkcDjo60sP5TqdTkpLNfQxGERk60UWRa4u9blacBTCdXrE8Br0+hl8sGlrUl8xm9XMuWdOoGlElSoZ0osSh9pyN2ftdfvRGX5CTc0DCIKM3zeJrtZfcPXMKmbW++hzByg3y4ypMqKPtNkQJIVs7Gr306UhU7JsjItFI33opLAijy8BInMQDEIoQmIiBdFykoReIUvLhrTwy/ZxqEWerjZvVwhVKF6tHL12fbCGx5gWjxDpSNuVXYNBhjKovSwhL169ZVBTcz3W8rRj0SapqVCTlGslOdEok1cyYBG1FdXLCLzuG890437KRI+qUC7xeKoD959d8/m89R3suuT6pqBfZkXwvJxO3ZnSTK5dfRx58lBau45Qb5D2VUdx7erLrfwC1s9ayPYJs5hbgGhRIVVrRZyCkCEk63KP0zBPfzEQAVQUP/vZz/jUpz5Fa6t626auri5+9atf8d3vfpf/+I//yHudpzUhampqSqsV6uvro6Ojg6am7EXLg4l8yFC2qJByrP9kKFNjVkhvwdFYX8PI4dV0dh7H5/NjtZgYXlWO0QAgZ1SRRX/2eLOToRJrL9+++n8Z3bABgD7nUpzHvoMo6TEQZEK1HlEiUi8UJ0NiRG7v1CixLzOE42QIFDKUEBUChQzJoWSX6UTX6Vm2Lm4Zsj2tBUeF6ONq83ZmGI4mRYWiWB+s4f/kOek8Klf7iEIgMuei1tew+PqwBT0803hp/++n8ZoyT3fyZTmapGaSlO8NDaM7bM1KWBLTUoLGT+T3fQ086jkbCT37Q5VZpf4veKZyXHJkTO1FLQxG6dsZZTjKmF0b0G89jOuQl73XXAm2LH5JWdJMrl19uD7qw1pvRWfXE3aF8BzyxDacnMqvCDyRaNHCl/5G8z4lZd1ft+liU9ciBhNqAqg777yTtWvXsnjx4qzXr1+/nldeeYUXX3yRb3/726rj7r33XmbPns3s2bP7tc7TmhDNmzePBx54IKmW6MUXX0QURc4555yTsqbEMHgmMpQpKpR4/ER1qU91nTbqYHh1pHdaTkl9JEIkSDhs6r9Co+t3873rfsqwig7CYRPOY9/H03dFzHUakiX1QBIZEqQw5UYV7XgKyk0RMpQYFYJYigzISoaiabAZxnamV7azw2OnRzZRJvgZTQeiQEYyFApKPCZPi5ChAhOePCI83aKdWV3vs79kBH3G9Lq6Qt7L4ncxbf/7rG88G5fZAYKQVz1QVFIuI/K0ewY3lKzO6a49Sn8Us6itKPk9/6hY2w5NZpVZICOyO1TD7lANgV07sYWqscy2cUn3G3xYOlshURn8ktTSTGmEZUc66dCs6Iq8YasWXoO86mFEWR6Q23SxqWsRg4WBCKDC4TA//OEP+epXv8qwYRlq9iLYvHkzzz//PM8//3y/13laE6KlS5eyYsUKli9fzs0330x7ezs//elPWbp0aVIIbtmyZbS2trJq1arYsS1btnDkyBG6uhQZ9qZNigdKRUUFs2bNGtC6ToUUGcTrhWRZpqu7E5/Ph9ViorpK6VOWy3Ua0lNkiWRIFCSaa+w4bMYUs0WZi896mZs+8wcM+hBHO2uQe+9DDoxGJO46DcTIUDRFJkrxn4VwiAkVISosOrq8oFbbM8QUZpzdkztFBhHyk0qMkmuCCAUZb4zXCkky7PCX0SObcYRdjBGOQ1h5H3ZTqaTJBsqFVBjB9O6tbCiflPPyDUOnsODw6/Rlc6DOhjzI3Pgjm9Ej8antK3l2+ueB/OqBErEp1MCbW7cxdYI3K2HROn/AJ/Oph/6PQ0vuwG+2gSDEzSpTCr2BmOO1lh5tPRdOZ27Zlsg6ezmXVfSELDzpnRVbZ7Y0k9b2GPkqumRRZNXCazOeK7pNF1FItLa28sUvpte2RfHqq69mPD4QAdQjjzyC1+vl+uuvVx0jSRJ33XUXN9xwA8OHD+fw4cNZ51TDaU2ISktLeeihh/jhD3/I8uXLsdlsXHXVVdx6661J4yRJIhxOjjQ8/PDDPP3007HXf/7znwGYNWsWK1asKMj6tJKhQqXIIL1e6EhbK1u2b0lSklktZmZOm0TziOrYXKlkSC1FFlN/RfyFdKLEFeeO4G8v7QHAZPDztSUPcMHM1wF4Z8tsetrvZmq9sgFFyVCipD6VDAnhUOwcUpjrJ8ncu05PLkl9viky5XV6gXTi8XW+YTwSmES3HK93KcfDUmEjU4P76RYMmhqy5ovSUB+Xtr/J+L697Cppwq3P3kojoDezumYODa7+fRDkg1HHdhH2SjTv38Yc86u8M/HCvOqBUnHouIVnnIuyKtO0zu/ccJwDQ0cDyf5Jqf3Y8in+jvYf+6L9vbT7leq83Gh/k/VrRXp3u1XTTPm0x8ip/MqGott0ERlwurbu6Ozs5Ne//jU/+clPsqrR/vGPf3D8+HFuuummAd3vtCZEAM3NzTz44INZx2QiOPfccw/33HPPIK0q/3qhwUiRHW1v5f0N6Qoyj9fHm++sx6A7k8b6mpwpstjPQmKESDFaBJjSXMayixp5Z/t7/Nvnfkxj7X7Cksg/Vi3DJn+FMxttmlNkSWQoQlrOqvJz+/QAf9luodMX/8DPJKnXmiJTXucmQ4q/UDK6sfB/0hxuFkI4yF8OnhGCwFnOjTT6jmL19dHgOYIYIXxTurfzTmXmJqWJeLP2XCp2PY0l6FGKqvPYTGNSecGjEJJwVXq0RJYBmZAfJAREZGbtXM3mxpnstVTmVQ+UiLq2FnaOms4ea5VqTc7eYO753bKJl3onse6ihVmfNd/ib0GQc9ZHTZvsZ+/qloyFp/m2x8iq/FJDDmVg0W26iEKgtrZWNQqUDf0VQP3qV79i7NixzJgxg97eXgBCoRChUIje3l6sVit+v597772XW2+9lWAwSDAYxOVyAUpPTpfLhd1u17TO054QnWoQhOz1QlpSZMnn4mRIa4oMlNqgjVu3ZF3ruxu20Vw/TCmy1pgi00dIkE4Ix87pCHPO5Hf4zAW3o9O58Pkr2L7jR5w98hz0gpwxRQZxMpSYIoueIxxGSBg3e2iQGXO97OwUM0vqB5AiSyVCAOFgmEcC0VRV6mYjADKPi2fy34F/Uia6lU72A6whEhCY1LUj6ZgUCjO+b68mQoQg8vTYxRiyNQLOsMFqjpZEGtA+Nf8G7B4n5236F6Nbt3P+pn/x/FlLecozM2sBc5pMPdKsta59H6NbNvPhpLkZ1ycgMTmwh42BkZxn3qE6/9/dZ7FrytCEtWZ4i/pR/K2lPspQasBab8VzMH1cf9pjqCm/BoKi23QRJwv9FUDt27ePdevWMXPmzLRzM2fO5A9/+ANNTU309PRw5513cueddyaNueOOOxg6dGjOzhVRFAnRIOFkS+qPdx7PargI4PL4ONbZyYiaCuW6DGQoNUUGcTKkIwyEqKz4CeXlvwfA5z2TrtafUm0ZCsiaUmSQnQxFlWM6KczEEl9cUp8QFQrLsMNpojuop0z0M97sQxTyjwpFj38kDUlKk6VBEOjGRotQyZmBFl415q7zyYVyb7JyS4qsZaT7cFxKrwFBfRbjxwxkKJ9oSRQui4Pnz1rKZe8+xujW7Vz27mO8MfUS/ozGAuYIi5n7/gsA7G6aorq+1PkkWUhSnCXNn8PZQGvx9yh9O7tDNYD2+iW11hz9bY8RVX5tmH4+62YuHDDhLrpNfzIhIxAqQMpsIK07+iuA+o//+I9YZCiKH//4x5jNZm677TbGjh2LxWLhr3/9a9KY48ePc9ttt/GNb3yDs88+W/M6i4RoEHCyJPWJKjKvxj5lXq8v7xRZlAwZdEepqvoWVsu7APT2LKP32LcQZV1aigxIk9SrpciEBNJEgl+QmqT+vW47fzlYldSKo0IfYFnlPmbZu/MmQ1IwSLeGNh4AG6nldWN636q8IMsIyMzuVgr7pQSfIwARmdnt63ijbl7uufJMk+UbLUkd8MbURTS37mB063aaW3dwZOhI3jWXcGjmXEwmmV7ZqlKsLDNz46s0HtpOa1UDLltZ2vrUyJqAjCzDG77xbA3WK/PLAiafG78le1G5VnLzlZLXedU7kZd9kzXXL6m15hhIewxRlpnxwWuUdx1T1GT96cFYdJsu4iSjvwKo8ePHp83lcDiwWq1J0vpUmX20qHrUqFFMnz5d8zpPz0qrUxra6oV0OjHWcDX5XDoZSmzMmkqGDPrMknq7VZsJoMNmRIymwyJRITUyFD2nI4zV/B71wy/HankXSbLS2fpzeo/dHiNDqY1Z1chQ9Fw0KpSVDEnhNDL0bqeVn++tozOYTGC6QgZ+2TaG93tLkYIhpKBiqCiHwrHGrKBOkhySto3zfX0k3Nvfb++RSMm5nR+gR0ojQwAhf4i5be9gDGkjuVpw3vaVXLPvccp1mWtyIFkqrzbAZS3jyFAl8iMiU398P3ZfH9vERjYEm2INT9OvFVl3xgIeuuo77KtP/9DLRdYAphkPJJGt4YezO6aD9uJskxDiEusm7i59HJvgoztsVXW/lmUIOoOKl1AGRIuks01g7+vJSlga929j+vpXlDnyKYyOjB234332Nk/hSG0T0onqo1dEERFEBVA6nY7ly5fzi1/8gquuuorvfe97SeMyCaBOJIoRokHAiZTUK8eIHIv7C1UPq8BqMSe5T6eixGaivlopaNOeIpMpL/0jQ4fcgyCECPhH0dX6C6RAQ96S+lwpMsIpRouQVC8UDoV58HBN5Gky1/k8dLyR6TXHEMLZo0JJ50KS0sUej5I2UzPfk324xPxaSqRCQObczg+4uOMtVTIECtmYfnwz71YPzBICWabE18v0/e9hb7ABuR1ic0VV3ObkVE8v2qX/bmspmyakh8zz9TWavHkNu8acmb0IWZZzmkGmwiYGuMG+mld9E7jAvF21fql9VZuqk+9A22NkkutrhdnnQUZxto49U4H7oRVRhBb0VwDVnzHDhw9n165dWpcWQzFCVGhEPusSo0KFIEN6nRCrF0olQ6Iox8iQTpTRiTJGHZx95sSsS/3U7LFKnzIVMqRLiAzpCCMILmqqvk7l0LsRhBDuvkvpOPgwUqBBWWdCvZAaGRLCoTgZCofjkSEpHCdDkeNpKbKU4untTlMkTaa2swl0hc3s8CgbdraoUCIZApCDQT4XXq9Mk7pRRV6f6d+T9f1NHZ/0WpaZ3r2VH+y8LycZimKsU+P9cqzj/O0rEZEJe7UZHeaKqth8SqpHQmCfbQRdpermaWmIkgNJSnqf8vU1svc5CVosjDK0c6axhfmm7Zxp3Mso/VEEpNi9Ru/4gD3v+CCSdtO2PJlzpO08cnxGpPFrHD4PHHnyIK5d2dNi0SJpmzvZc8Xucmb1CIrK9d22/FsRjd3xPj6zFb85ec1RqX9L40QkQeBIbRO7R0094dGjk3nvTxokWRzwf58EFCNEg4AT7TqtjIm7TutFGZ2otOS4aO501n6wHZcnHikqsZn41OyxTGgamqYiU34Op6nITIad1FR/DaOxBVk20NNxO+6eLyDK8oAk9TlTZKAqqe8JaYtE9EimnCkyUMiQJMPOUDm9ggUHXr4SWsM/9GfSkxD1KJPdLHa/g1Xy86Zlcs772yQvbl18U4p6DE3s24MUCke36xhSiVAULtmEIEvImTrRa4A56GXhlmcZ064o2fzHfITcIXRWnUr39Swd3SMD7F4ndccPsLN8HGtmX5pcC5SPZDxatBS5Rmtqqy9swuR14xhr587SpzJGlRIVc3a3k5J1W+jUVTHkLMWgNPfyBCw2OOfpJ9gQqsIywoZD9GE/3IrvoFtzj6d822NkleuD+vsry9hcTg7Vj8l8beS9fnP+kgE5Ww8EWk0qiyjiRKJIiAqM6EdPrqiQck4oWIpMzXV6TGMVYxoqaT3Whdfno8RqUPqU6WXNknqH/WmGVf4HoughFKqiq/XnBHzTYi04Biqp15oiS5XUl4nZ+6hFUSq5kyT1aUXVkajQBrmOR6Wp9OgSyI/oZrHvPeyyn17Bgj3gojl0FBGZYFCm1O7CKdpUN6bSsIvvHnyIFl0VfXobJSF3zGNIS1Qoim320Tw5Nnu/n1y4bMM/aOhKkL7K0LP+OEPmVWXovq78X7Wje2TA/E0v8lH5WFaef3Xmm+bREqR5/1bah9XjspVpTm1dY1/LB8ZGLqg9pDomUTEH0NI0keqZZiC/miyDTUfd9hY4orzuT0VXPu0xtMj10xD5dxm/4/2kNFmma30WW1r08kQ4W+djUllEEScSRUI0CDgRXeqjPyvX52jBIQg01JYnqMhkjfVCAYYNuZuysocA8Hrm0N12D4TKkuqFCiGpz5gig6xd6scauqnQ++kKGVFr61Eh+hhNR+TazPVCoJCh/5PmpM3Qg5U/m8/ny77XOcMTL9oNByVE4DO9b/Ng2QLV2pArjq8Gf5Amkh2ktZKhcEBCQuClxgXKgSz1MVnPAy9O/TSf2r4yFiEC8B5y0/FKGxVzKtHb4yo9Zzi5JUUaIvd5Y8oiwjp95ntHoz4aUd7bwUWrH6O1qgGPpYTDQ9yUzdVH3trMz1UmernAvD3j7VOXsdi6jhekEvZesoBL9KsyD84CNRVZIqK9ytxWB16LDYvPjc3d269Gqf3xDYq2Don9m+TCCXa2zteksogiTiSKhKjQiNUQDZ6kHjKnyJSfB+Y6HZfUH6am+t8wmz8EwNn1VfqOfxVRFk6opD6b67QowLIhLfyyfRxqbT2uNm9XbcwaJUPBQIhHdVOVgyof0k8YZzHR06LU3gTjSa6Jfbu5LhTmn+Xn4tTHN7DSsIsrjq9mXPdHSdPlExUKB5T7HHTU02fK0bA1JeWUCS6zg2enf54rNvydUe07OVwxkj7Bhs3VR91jB7BWm9FZdbQZKvnzxCVZ+3pF4bY6croka0VdWwuiLFPbvp/Wqgb2t9mQX3czfoaIwWHIeI3W6aNF2N4zpmmuT4pCSR1aaK1tpN5+KK07fRTZip/7kw7SKtc/+61nsXpdSSm4I7XqZnc5MYjO1v0xqSxiYJCBkFQIH6KPP4qEqMAQEGKS+ihySeqVc5GxeaTIIDcZyuY6rfycXi9ks6ymuuqb6HTdhMMOuo/+GJ97vqYUWfRnzVEhSKsXCsuws9tIl99EuSHEOLMTUSCJDEV/nmE8xi1DJP7a3UyXFLcaqBB9XG3ezgzDUdUUGUA4EGS3MIweIUs9kiDQo7OzWxjGqEBbwrXK+zDZ28JE7z726qvo09koCbtp9LUipRAdNTIkIXCwpJ4+g42SoJsRfYeQA/GxLqM22/nm4x+xd+iYrM+BLPPy5Mt5dcIi3JZ4oW7MeXrvdlqHN2oiQ7E5NcAQ9BPUG1XTPGa/h7r2fewdMTGtFmmydzdfdryjbT05YLTpNNcnRSEIYBZCnHUBQD0Awd4g7S+3xYqp1dJAUfQnHZSzp1nEX2jy1rfToikD6ocWwWA4W/fXpLKIIk4EioRoEHDSU2T013VaYkjZ/VRU/BJBkPD7JtDV9nPkQN0Jk9S/12HOaLJ4ffUhZlo64tcSL5CeYWxn+rB2dnjs9MgmHJKHsbouhHAYOcJJ1MgQgFMya2rQ2ivGC6OjZEiZU1lPc0gpLgn50wulE8mQhMAB23B6MNNVUc4HldPoM8YjQCX+Xi7at4pxXYps1B5wqa4p1oNM9OIfakJAQs72MIKAz5heO5LoPB1VjRUSZ2xdzfvTLlRNLZ7/9jPsq5+QsRbJYC1c99xo49h8pPcAZiGY9FpfoqduST1HnjxE70eu7MXP0eOyzBvzl2D0+6iNRMOyYSBy/ZzXanjwwXC2HohJZRFFDDaKhKjQiHzODDRFBulkaKApsvjP6SkyUXRSM+wWbLbXAOhzXoXz2B2IkjFrikw5nqFLfT9SZO91mPn53rq0t7QrZODew03cWhNiluW4clmqj1AoyHhjt3JczJ4iixIhADksUSpolHhLniQipMyZHPUJ+dOjQIljtjlG86+aT9FrTPgGnLKh9RlLeGLsYq7a9RTjunYxovcQJT6nkjZL2MjS2lrYs3RsT4VKavCNqYu4YeUvsXucuCw50mFaEOlXNmPzGwzpPsbq2ZclScjtHidz33uBxkPbeWjJdzKurVdOlo33cxkxxZyMqNp3TQ3pb5eALMtULahmlyuszSNIEPBbbDx35U2aU2hqPc2itULZrle71uZyEtIbFDl+lsjTYDhba416FV21C4tPimx+oCgSokFAISX1+abIlJ+lvFJkZuNmaqq/jsFwCFky0n3sP/H0Lo6lyGDwJfXhYIi/HIyaBGY2WfzrsQam1xxNqgmC7P5CsTEqZAhglHyMMslNj6C+QZRJbka6shdGp5Kh1PPbHKN5bMQV6fOrkJOXGy9kTNdHSL4gF+5+iacnfTb27b6/PciyIuI83TZ0BOdFGrbmoxJLQ9SF+/1/IcoyzQe3xVp1eCwlWL19VB87wNFhI3l34vmqpCJXRCeRT2Y7n6iY2xwcyZ9d6X3X8oEgCBhKjVhG5L/Z5JNCy1eur+Xa/Q0TMkePIhi1Z+OgFDUP1KSyiCIGE0XaWGAIKEQoKqmPdqlPbcEB2lpwQDxFFiVDelGKkSFRkJPqhdTIkF4IZyRDpSWPMrxuCQbDIYLB4Rw79Dd8zk8n1QslkqGogWIsKpSrBUcoGCdD0Z9TJfWhEDs0mCx2hk3s9JemGSpGW3NAZkl9KhmSw1KMDIUDQeRAgKv87ym3UTFhvKJrDWKkrFAKhZPITsgfzkmGJAT+VXN+5FG0hSR6TaXsM9cCMLZjJ5/Z+g/MQY+mthaLrevihoR5wm0uiTVstXucuS9QQ8RfyBxwA4rCKJEM+Yw2/rbkdp65+CtsmHGh6jTRiA6o/vPwqm9CmmliFD2SNSNB3BwcyV3OxbzgmZqxI4bWPdkh9kOAH/mHWnvOFZoMCaNy/dF7NlHXmjvdluvapn3bmLYxnVBHsXHafFoasxu79hf9NaksoojBRjFCVGjEUmYDrxdKjApF58pWL5RPikwQfAwb+v8odTwOgMc9n+62HyGElVRO3pJ6tagQaJLUd/u1RSG6gwbQa2/BAZmjQqnHJ3v2cmMozFPWOfTo4kXMZWEXV3S/xWRvS2TO/FJkUbQYa+hNqBPSCrcpuaDaZ7AySnc0r7YW+SJaQ9SwawvXfbSV1qoG9tWPj7fYyDNi5LGUZCyWzkeSH43oXCO+jtkW/x6X2On+jWPNXLb7Oez6AB/NPBuXbMIp2VSay0aWgMjLvqkcDZelRYtckokSXW6vqyq9k0nBPWzTNyILmeudEmu9onVMsiDmraiKyvrzjRRlmmf36GmZT54A+ftAol5FFDFYKBKiQcBguE4rPxdGUm/U76e6ejlm01ZkWaSn65u4O29AlDlprtNlem1tJMpE/4BTZKnHo3VBUwP7meDeR4uxml7Rit3fR6O/LSkylIhcUSFljDJ3n017f69E2PxKQbWEwCujLwLAodMWkchXXp7oPB3si/zOyDLDj+5j+NF9iJLEh5Pm5jcn0OMYohRUZ4JWciXLtHSV0vLITuzDLejseoLuMHtDVQyzrOUKz4uxDXX3qKm86Z+gTJ+JiKSSI1lmc3AkW5z1SWNbQkP5fukzWVJ1ipll5bmVfIW36Q5vzFi/lVbrRXKtl9umjSgX0t35VJC/52NSWUT/IctCYWT38gDrCU8DFAlRgSEweK7TuVRkkNt12m5dRdWw29DpegmHy+lq+wl+z5zBcZ2GzCky0l2nx5udmkwWxwgdmlynITMZykSEgJi3kAiMCrTlXTydy1+oJOjO8ExZIMuU+Hup7zkIwKGyEfSZlWJkrbLxvOTlkW/mc999gXBfiJAosmXcWfTaK3C4upi46z12N03J+xlsbifbxkQa0qrl97JAQKJZ145D9DJ291uIsoznYJxY1JG+oUYVSrmISOo6ZMS0iJpSfP1GmjmknCGSkal+S0ut19pzLkcfCmYlNYV2dy7K34soIh1FQlRopKbMThlJfZih5fdSUXE/AH7fVLpaf44cHHbCu9Rncp0mFGRZ5X5+2TYGNZPFa2w743NkSZFBcr1Q6jHl53QylOlcf1NkqWaLI/oOYQm48Ro1RIoim+2Fu1+KRad6hXh9jJYi46w9yDLA7nUy990XaD64jbVnXszGiecii/FvlWtnXBIPa2pB5BkmfrSO96cv0H5dAtIIzYUQnDUmyf8nE2ra9jErvJ2ry9ennUsiLYEROUnZ5uBI1q/VMW2KP80cMtU9W8k0yVwjvE7lK0a8ZjsXXeqPnUsfq9R63RX4DC9d9EVmrFvFmRteS0sbDYa7c1H+XkQR6SgSokHAqeY6rRePUV11C1brWgB6e66l99htiLLuhLpOg0KGMrlOA8yyHOfWKomHjjfSFU42WbzGtpMzxVZljgKlyCCZDA1UUq+MyZz6kwNhJnds5f262RnPJ8Ic9LJo1/OM7dipzOkLx1JnQFbZeM4eZCmYtf11RnS0MGy/Umy79syLM6fF8qwbsrudzH3/BcK6zDU1uRCPrCST40T/HzVSJCKz2Lo+47ITiciWwHBkdDnTartclTzTM4tq/IzWt3GxdYtqKxFBEDDbBab5d4MfynSNqs8Yq/UydLAnVM36WQvZPmEWc1NSYIOR3irK34soIh1FQlRgKCoz5edCS+r74zptMa2nuvrfMOjbkCQL3e0/wNt3yYAk9UlRIci7XghII0OEw0jBEDOMxzijso2dgTK6gzrKBD9jDd1pkaGBpshgYGSoPy04xnTv1kSIPr31CRp69itz+pT7DO86gN3rxGVWvIHUZOOJRcZZ+5tF6oVmrHslFlUIiSIbJ56b+RqtjtQBH2dsW8OMzW8gyjKHq9UJgRoEOcxVlvcAOUMURvH/GXrxcD6UDFjdrrRiXGu9FUt243HKdR4+v/FhWqbM4JKK7ZnTaoER6EJB1s1UmqTuCQma67J0du0frYlzejKkwLSmrfY3jNdMiIry908WpE9A/U8hUCREhUY0ZTbI9UK5U2Qy5Y4HGTr0RwhCkGCgkc7We5H8TSc3RRYZn0iEILlAWhRgnNgBpsjxCM9IktvLsCs0hB7MlOGjKdiGyKmTIovPHb+XV2/JSVJK/L2M6DkQI0JRiMh8avtKnp3++dgGFisEjtTY9Mpx48EkBZfKhjf33ReSNrwt485KSpP1B0GDifenXciQ7mM07NpM1f69OSMRqWtr1h+jVO9DzYIhGoXZf/EF7AlVY/K6mLzlbcqcx7F6+hhb0qlprWPsxzlrqHpabaVnCh1yaULUSNBcl6WlEWwUSXNGQlhvzltMSG/A5u7F4lF3Kk/E5ilzqWnbr7mWaCCmj0UU8XFEkRAVGAJCpDZIeT0QSX1/XacFwUN15R2UlDwLgNt1ET1tdyFEPni1SOo1pchAk6Q+W1RIea0S/VGR1H8g1fJoaCrdxOtqynRuPhdazxkcUqY+QSkyZVzmLvVJ1yHwcraO9RFicsHul5F8mTfTMe07uGLD33ltwiJckT5kMiKHPQ7Agc8UD4vYvU7O27QSgDemXoLLWpp0LlovlIhee0XG++aFyIa+ZualDN+9lfbqBpr3bmbzlLmqxCwRdpeTcw+vgnNy3yoaWfFb7KyftTB2fGJwDzfxds7rSyeVkTkKpSztEtvm2LFo1GhLsD5H/ZZMqDeoNH9F6XmmL9FnTLGp1noJAj6rnVcv/AIAJp8bg99L0GjOGanLt5aoKH8voog4ioRoEDAY9ULZUmTRcTrCmAy7qa7+OibjR8iyHmfHbbh6rkWU5ZMmqQcGTIaixz+Qavlt6Ky097wHK7/Xz+Om0Gqm+OJpg0KRof5GhaI44BiRvWN9ZKMzurNHA8a072BU+04O2upxm0uw+fqoO34AgCNDRyYdixZkN7fuSDoXrRdKhcPVlfXemhGpaVlx3X/is8R9lARJQk7Y0O0uJ3Pefg6Lz5O0GffOmqDpNmrRmu36RrrDG7OSlrA7hN5uSD8Zf4QkJBZjq9dvKe9p+6qjUR0A7S+3UbekPibRj49V/q+l1stvtiVflGXR/ZHKF+XvH3+EwsWUmRYUCdEg4GRJ6ktsz1E17A5E0U0oVElX688J+KafdEl9rhSZ8jqZCGU6FwpKPCpPjZzNXC37uO5MJrEPOTFClEeKDApPhnZWjOX5pkUZx6ci1YgxE2RvmHrv/rTj9cfTj4GSbqs/vj/mLaSGyTvf5e0ZlyikZaA9zACf2Zb0Wo78G03ZvIb6AzvpqqimrbYJh7OTidveQS9JtDRO5OUzrmFs+Ol+q+hkQZdAWlKJiFKk3XoARuRhxJykCnMuzli/5XdDx0uHcScUe7t29XHkyUNULaxJUqlFa722BOsZpT+a3ScpTxSl8kUU0T8UCVGBEf3sHaikPluKDFLrhYJUDvkfysv+BIDPM4uutp9AqCKpXkiz6zRorxfKkCKDZEn9QFNkoBRP76YyKU2W6c3vEex8JA1lNG3KLU9QvVAmIgQKGXpi7GL1NacgUU2Wdg9v/1pxADnJEIBekpi27S1FZTaQHmZRqEi8doybxZbJybL+d86+jMmbVrN39LSCqOjiztZvkMjLXJKZ9YEmuhtsjCC9fijX40QdwDMZOe4NDcN4lpfz/E8m1d+4dvXh+qgPa72VzqZG1o86m22GJiYbDnFn6VO5fZISF6ABRal8EUX0D0VCNAgodJf6bCkyg66V6qpvYLEoH+7O7q/Q1/F1RFk8pST1/U2RQVxJ1h0ygAYVd6+okKaTmSIDpW7opYaIQ3OuzUyWKfH1MrzrQOZ7FJgMpfYVq23fjyjLnPPBiwCKD1EBokRpEASCJnNa+kcWBDZPmx97nzSp6HJgc3AkhvW1jBHb8J4zjhmmfZTo/Jxv2QEoyhsBOW/eN1rfphrR8ZutmY0SZfAc9GA5uI1z3tzOmEVzmDctvU/cgJrzFkAqX6jWIEUUcTqiSIgGASdKUm81v0111TfQ648jhe10Hb0bn/sCTSmy6M9Zo0Iw8HqhHEQo27lUSb1D0CZ5dkiek06GAPaZa2Pu0lkR2XDO374yVveTdI9+kiG1qFCmvmJ2dw9z31MKrc/54EVmf/gyW8bN4b1pFxAymLK3kU8N4WhsXpv2OmXjVYvC5JNSkhDYO3UGV5vTo0FC5L3ONxh2sXVL7Oe0iE7kOd7KUtwsInN283HAkN0nyVmv/qyRRcc8lAQPvZKF5rdX9ZvAFLI1SBGnDmQoTOuOgS/llEeREBUcJ0ZSX1H2AEMqfoYghAn4x9DVei9SoP6UcJ0uVIosiqhibFSonTLRTQ9W1Q26THLT4G1NuPbESOqTxkdUYu7S3PVAoBgxLtzyLGPad6Tfox9kSELggK0ez9Dk6A8oZGjl+VenXeOylrLy/KtZ9PojNB/chl6SOGP7WhyuHmW8Su7K5PPgTzD9MXvd+KzanjsNmZRYGdpp5IOAycKVFdszTh8lHzJCjBxBdoKUei5jREcQcGcpbrbWW9Ncr1PXlas5r9nnZoyjMy2CFrw0SPvLJVmdvDOh0K1BiijidESREBUYgjDwFFn85/QUmSj2Ul35bez2lwFw9V6Js/0/ESRT1hSZcjwPSf0pkCJLNVoUgc+F1vN7/TzVDfrTvW8jIp9QSX3S+ATJfLZ6oERctuFxGrqS0xz9jQrtrp3AG1MWZYz+NB7azprZlyoHVdjBmlmX0ngoHtloPriNRa8/kh5RinjVpEq2q47u55Fr7lD3HdKCQtQvyTLIMv4zminX7VUdJghKpOgp9wz6ZAtj9K3MMWcfn/paLaKjVtys1bQxowlkJC128/rfUr+4jlRxgRYn71QMRmuQIoo4HVEkRIOEQknqE1NkZuNWqqu+jtF4AFk20HPse7idnz0lJfVZoz8D6FI/xdfCl/VhnjDOokcXj0SUSW4+3fs2U/z7TlqKLJTiH1Tfc5ASn1OR26sZMfp6GdG1P/ke/SRDO8vHsfKspWnHo9GfWRtfSSI1aRAEXPYyWqsaGH40TtCaD26j8dB2WqsacOlsabUliVGQlsaJhHQGbSaMWdYxICSk8rQ6S/fJFjYEFFftOagTokxQi+h0lQ/jSG1TWh2OVtPGNFuBqIP0289Sc2lV7N7Ja1GcvKsWVOP6qE9TnmMwWoMUUcTpiCIhKjAE4mSokJL6UvsTVFb+J6LoIxSspbP1F4R9ExCRCy+pL6DrtPI6t6ReCklIMoqSLGTAIXgZFWqP1dQkEqTJnr1M9LSwV19Nj2zGIXloChxNiwydCEk9pBOhKERkxrdv5f0RZ6efVKkb6i8Z8rsk1lycPfqzaXyGdWSAx5Ie2RBlmZp9e7Jep5Z2icLo8xAwWSJhmQEQpgTo/T4EUAq1IxBkOWYdoNVZeqjYC6h7G2lBjHxFnmPDjAvZMOPCtDoczyFPxLAxvYYoenkmW4FoVG5SeB8GR7YeaQKGUiPWeiuegx7VcVFolekX5fynKWQI9+9jJW2ejzuKhGgQMBBJfZrrNH6GDf0BpaWPAOB1n0t32/9AWDH5y1tSP0DXaRiceqENch2PSlPpEWwxJVmZqLhPZzJaFJFp8h5JOp5IbU5GiiwVuyrHZSZDEcxoWRurGxqoiqy1ujFn9Mef4gukBqs3OdUS9uaW7CemXQRBplnfnlwILQsYQkHG7VynqMk0uFarYc5bz2Hz9sUiVQBttY1YRtgQSs2sH31urNXG3tCwrM7S0VtfYtnE0XBZTifqbOiVLBmfI60OR4bNGw1Mz+BukMlWYPr6Vxh+ZG8s0qSbkMXgMwFaU3NaZfpFOX8RH3cUCVGhIRROUm/UH6S6ajlm82ZkWcDZtRxX55cRZWHwJPUn0HUa4mTo/6Q5aW9l1H36y/ow00IHThnX6dg1WciQhMCqURcpL1R21l21k5m36xVkDYRDDVElWaaoTiaYfG78JvWidLvbSW37/tihsDesSYodTbtMMRxIK/SNKbFKRtJwcBcisGnqvGRZvyyjDwYIJUR6Mq7P5WTK1rVJ97ePLWH0Qj0GhwR4mMPLSeovNU+jKJLqgHqGZzF1VA9sJUV0ctThADzZcAUbXc6czXntLicz17/Sr5Sb1nE1bSe3831R6v/JwN69e7n77rv58MMPsdlsXHnlldxyyy0Yjcas191+++1s3ryZY8eOYTAYGDNmDF/72tc499xzY2MOHTrE3XffzY4dO+ju7qa0tJTp06dz66230tiovcF0kRAVGAL5pciUn9PrheyW16mqugWdrodwuJSutnvwe84tnKR+AK7TUDhJvSTDo1LEfVplI3nCOIuJnpZYuerJJkPZiFAU+63DY/3GMkIQ6LOUctBWn9F1OhdSJfWpUR01TN3+Nu+fcaFqaGLu+/GGr2FvOKMU2+x1Me/Np2netzV2zGMtYYrhADfa30y7Z6ISy2MtYc67K5n5/ktsmziH3tIhBPRGPho3g5DRpL7whPoZe70FnV1P2BVCtOqoWzwi6z03B0ey0juVS6ybVKdPrAMS39/H4Z5DVF5ch9mW/DupFtF54+Bw5FIxzUA98QaukjJaa5vorKjGbS9jc7Asp61Apo7z8ZSbWo+05H5quSDKJ6/zfVHq/8mA0+lk2bJlNDQ0cN9999He3s4999yDz+fj+9//ftZrg8Eg119/PQ0NDfj9fp544gluuukm/vrXvzJjxgwA3G43Q4cO5bbbbqOmpoaOjg5+97vfcd111/HPf/6TigptfRqLhGgQMDBJvcSQ8v+lovzXCIKM3zeJrtZfIAerP5aS+p2hcnp0WVI5gkCPzs5efXVSigxOrqReDdEu9e5ybdJztzn/uoxM/kK17fuxu3uUJq4qESlBkih3HsusGnM7mfu+4kMUTZGp1QT5LHZevuhapm18k9nvvUhbTSPd5ZUstq5T7pNFibUhQtz0ksTULWuRBIG/Xfs9Ml6YAJvLyZIDzzLl0mBS/YwkZb40Vf3VIWlLMzlEL9vHzWR3eBoev4PmcJys2AQfn7O+i10XSLqPSzJi9zhBg+XUywuvSUpdZrMVmLJ5TWZSIGfrkZbeT00Lmvad+M73Ran/iYHiQzRwk9WB0OHHHnsMt9vN/fffT1lZGQDhcJi77rqLm2++maqqKtVrf/WrXyW9njdvHhdccAH//Oc/Y4Ro3Lhx/OhHP0oaN2nSJC666CLWrl3L5ZdfrmmdRUI0COivpF4vHqeq6jZsVuVbdp9zKc5j30GU9B871+lokXSvoK2ItUeOp1IKIakvdIpMOR+/h1bJvc2nEAQJQbU5ayLUzBZFWWbuey9k9gyKQBYEXjpP8Rq67omfZXSqjpKhrFLsCDZOm8+OcTPxW2yM0h+lXPey6nNGIzBl1TqkViEWbcipcIrg83ufYMr5BlI/ssQsfnOJUR+txdK9shWfxRaJjAhJZGWK4QA2MZD29tqEABdOaOeg60BOd2m/KUvrmRQ07E/3pYpCrUdaqDdI+6qjefsQgUKKUm0UBit9VZT6f7KwevVq5syZEyNDAIsWLeLOO+9k7dq1LF6svb2RTqejpKSEYMK+kgnRe+Ual4giISowBCFaO5SfpN5i2kB11XIMhlYkyUxP+//D03dFLEUGp66kXkuKDDJL6h1hj6Z2HA7JE7n21KsXUs4n32d41wHsXicus7rk3u51Unf8gOIdNPUSJboTgd3j5LxN/2J0q1JzoqUXWfPBbVz8+qO8dN7SzG03UryGEqX1kFw8rUWKDUqrClDxzMmAredewK4JV8VSIlqUSwISzWdbgFDGFFEuOEQvHwZGZi2WzlUHJCDliIDJLLG8x5bAcGQhwy90JldvNWis2UnskRZNIXoOeQb0VV6UT0zn+6LU//REa2srX/yiupL01VdfzXi8paWFJUuWJB1zOBxUVlbS0pL731eWZcLhMH19fTz11FMcOHCA//7v/04bJ0kS4XCY9vZ2fvnLX1JTU8OCBQtyzh9FkRANAtTIUGZJfYgyx9+oHHoXghAkGBhJV+svCPtHn9wUWWR8oST1UUTJUNRbaBTHKJPc9AjZ3aebAkeTyFAoJCmtMUw2SsJu6p2H0iIqqWRIQqDFWEOfzUZJ0M2IvkMJsv6BpchSISLzqe0reXb651XrMs7btJK9teN5PpN3kMXB82ct5bJ3H6Nh15a082owB9xJTVPTkMFrKOiTlKhAXTwqoFliHXkuzREYyZKUEukpHZrzmmb9MezmMOoFOrnvOdlwCAOhrB1IsjWMbdYfSyp+ToUgCJTpfXEvov60M0lYjOaaHRlN0vpTrXC5KPU/sQgXIGU2EPT29uJwpKetS0tLcTrTe/ql4oknnuC//uu/ALBarfzyl7/kjDPOSBv33e9+l+eeew6AESNG8Je//IWSEu2/Q0VCVGAoPkSZ64XSJPWCl6rK/8BR8hQAHteFdB/9b4SwUmOgRVKvKSoEmiT1hUqRJZ3LYbQoBwJcJb3HH83nqxKHK7rWICdcv9nYwLO183Dq47/ojso+Lmt/g4l9eyL3TSYq2xyj+VfN+fQa43+UjkAvC1tWMa5rF5nQXzIUxZj2HVyx4e+8Nn5RcvTH6+S8TStpbt3BnxZ9WzmokjZ4Y/Iirvtoq+bNS6vaLDpud/W4jEWt47e/p2meKHLJ25MiMAn9vhDI2StDa/RJ7Z42wccN9tWq49yyib+7z8qa7tK6hnO3rqKtPvn9TG1vkg2pNTuFIDKnYuFyUep/eqK2tlY1CjSYuOCCCxg3bhzd3d28+OKL3HLLLdx///3Mnz8/ady3vvUtrrvuOtra2njooYe44YYbeOSRR6itrdV0nyIhGgRokdSbDHuorlqOybQTWRZxHr8FV/f1p6TrtPK6cC04oogenxY6wI2uV3jKOifNffqKrjVM9sZDqpuNDayouiTtPe/V23mk7jKWHnyWib27k85tsTTx+Igr0q8xlPDE2MVcteupNFI0UDIURfP+bTTu356xPujQ0IYkopQGFefobNCqNrN6+9hdPU61qHX9zIWa5olCRlSVt2eMwET6feVEHuaKSeuJ3PNpzww+Y10fnSrjuKAssiVYn5WYaV3DkJZ9XPvmPTESY/G4OD6khnfOzV3UefZbzzJ569sxwlMIInOyCpdzEbmTLfUv4sTC4XDQ15f+2eR0Oiktza1GqKioiCnF5s2bh9Pp5Gc/+1kaIaqvr6e+vp4pU6Ywb948Fi5cyB//+MecSrYoioRoEJDLdbrEupKqYbcj6lyEQ0PoavsZfu9MTZL6vFNkkJekfrBSZMr90glSNA02lf1McO+jxVhNr2jFIXkY6TqclAYLhSSerZ2nvFCJqKysOZ/xvXti1wX8YV4ce2HWa15uvJAxXR8hImuS1GslQ1GzRRGZ+uP7085rVZh5LCVIgpCxCDoVOdVmEa+hygMtPHLNHcoxNYlWntgcHMmfXfOze+v0A1qiTzJCTN2ZeE+PbMqR6oJynTee6pKkjE7aWtbgDJtxHfbG6nBaGify2gWfy100Htn8U8nQQInMySpc1kLkTqbUv4gTj6amprRaob6+Pjo6Omhqasp7vokTJ7J6tXrUF8BisdDc3MyBAwc0z1skRAWGgJxFUh+isuInlJf/HgCfdzpdrT+D0NCkeiHNrtOgvV7oBLpOR5FaL5R4TPk52WhRBEYF2tLORdNf+8x1SWmyNAgCTqODA7bhNLoPEfKHOFgyIilNlumaXlMpBx31DD+WvbhPKxECbc7TUYVZLvQ4hvDXq76TsWFr88HkTTGr2iy60bz1LO3VDZqKplWhUiS8OTiSLT3DaTZ0qHrr5Ast0aeHu2fRoy+N3zNYiSzomG7UFmGIpcSik6fcSMsanvTOpqG6O0aGMrYx0bD5h0SRN+cvTl5PFHkQmZNRuJwPkTsZUv9PImQZMmhL+jVPfzFv3jweeOCBpFqiF198EVEUOeecc/Ke74MPPqC+vj7rGJfLxa5du7jooos0z1skRIOATCkyg+4oVVXfwmp5F4DenmX0HvsWoqz72ErqlXtpI0OZjitzxv+S+7L5FSWgB3NMSdZn0HZNLvl/vlEhLag7fgC7x4nLoq5EM/s8vD/twrRT0Yati15/JI0U5epQ37RvG7tHTdW8zoxQIQ7IMrKgU/XW6S9yRp8YCSHQB3xIiMhGRemVT7E3EI+OZUifaYmADbOW5I7MJCB1829pnMhr53+WoCnLujUSmRNduNyfiNSJlPoXcfKwdOlSVqxYwfLly7n55ptpb2/npz/9KUuXLk3yIFq2bBmtra2sWrUKgDfeeINnnnmG8847j5qaGpxOJ88//zxvvfUW9957b+y6++67j76+PqZPn05FRQVHjhxhxYoVBAIBli1bpnmdRUJUaAjpKTKr+T2qq/4Nvf4YkmSl++h/43VdVDjXaRh4vVABXKdBe4os9joP12mrxohKSdCd8edsyOYbNBhkCJRU2nmb/qWozNTCDtFDKhtMVEKfuoFEO9QfqWrkSHUTUkiirrWF2sgGqkXd1S/0QxavFZuDI1WdnQUk5bjBoxwPVyEj5lfsnfgMgoDB72X8znXY+3p4O7LRZ1sDKEXAWr2VkGXmvP1cEhnK1hw3FbmIzIkuXO5vROpESf2LOHkoLS3loYce4oc//CHLly/HZrNx1VVXceuttyaNi8rmo6ivrycQCPCLX/yC7u5uysvLGTt2LCtWrGDWrFmxcRMmTODBBx/kn//8Jx6Ph6qqKmbOnMmvfvWrnJGkRBQJUYERTZkpKTKZ8tI/MnTIPQhCiIB/FF2tv0AKNJyWrtMZzw0gRZYILa7TDRzBEeyjV29Xjag4An2M6DsUOzSi7xAl/l76jCWq15T4e6nvOZh2qtApskxo2LWFRV6JNbMvxW1zxDbaoDuMdUsL703PUtyco+h6X/0EVs+6NLZJbUCp5TjnrefYMWFWfnLwLGtAlhFDQSRD9p5EhUAmZ+es/dOy9DLLJbcPGs1snjKXBS//DaurB0+kADiju7QsY4sUAe9tnqL5ed45+/IYIVqTwwgzFbmIzGAULmcrli5K6YvIhubmZh588MGsY1asWJF2zW9/+9ucc19wwQVccMEFA1keUCREgwJFUu+ieth3KLH/CwB336X0HP0+gqQ4LhdMUv8xTpFBstGiiMxl7W/wSN1lqhGViw+9kuYtdNG+VTwxdrHqNRfufinNw2iwokKJiJotNh/cxmTTQYZ8qjbeO8sO3hLwhnO7H2eS2u8dMVGpI0qB21bKyxddW9hIjiCcEDKUCVr6p/W72DtC9t45+3LOXfssLZcsUKJCsjW5Lirye3RupA5Ic8QlIWIC4NESVYrcTwuRKXThcq5i6aKU/lSFEGtxU0R2FAnRIMBk2ElN9dcwGluQZQM9Hbfj7vnCJ1JSr/xcuC7147t3sTQs8a+aT9FrTPAhCvRx8aFXGN/zUWTu+H3Gde3iql1P8VLjAvpM8QLrEn8vF+5+ibEdO5PvO8hkKNV12jbKTs1l6T4ZZovMjcQ3dTWkSu0lQWD1rEuVFwVSkGmBIeAlaDAXlmxliWLldo+O9zLLlepShSDQVOHkgiskLrWtih1OjECZfR7mv/lkLNKTMzKTgv5ETLQSmUIVLmsplm7Yv70opS/itEaREBUYouCmfvhnEEUPoVAVXa0/J+CbNjiS+lPMdTrxmPJz/1JkkL0Fx8Te3Yzv3aO4Thu0uU6P69pFU+t2DpWNwG2yY/O7qO85mCzrPwEpsrQWHAJUnq8UFaa2pRAEIWlTT9u8IxL62vb9SYcPl40YmIKsnxh+cDf7micXJhUHceKmMl9u9+h4L7M9oeqsjVTVEI9AJb/30QjU2vU2uvYFMPm9SILSoy0pMqMB+UZMZqxblZcCa6CFy1qKpd+KFEsXpfRFnM4oEqICQ6/vBDx4PXPobrsHQmVFSX0/6oUSkYkwSf4gDf7kup9cvchEYGRPZk+Kk0KGAEudFUOJIcNoBbFNXdfOnnBN/ERkU5n7/guxDSbai8xTpzHioEZcIvUw57/2D1ZddLXSkFQDwZm0/V3G7NmYFo3oL+wuJ6P2bIw1kE2CJOEQcresAEVSHyu6ziM6pCUCNXG6zF3Nn0dGTEofNe3bxoKX/8YrC65Rb6WSEDFpaZyIIEnZ265E1G9nfPi6pudOxEAKl7UUS7tLyvhg+qeY+cGrRSn9KYhCyO4/CSgSokGAs+ur9B3/KqIsFCX1A0yRpeJENGZVQyHqhVKhs2nobAsMC3WyR4gTIrvbydz34z5EiY1Z84o4qHyTP3fts4hI+M0abAsi9gC1rS2IshyLRrhtDlbP/TRBY/5ptETX5tnvvUhrTRNH6hQDt7rWFrwmK/sv0VZEOVTs5c7SpzIXXQdGKAcKEIFK9doZ1bIV4eWHlZqt1HskREz2N0xg1cJrcz9IRP3WXt1wQlVZWlN662cuoKKrHbPfw1nvrMRrsWHxubG5e4tS+iJOCxQJUYERDg2l7/jywknqc7lOw8dCUj8YZGgwXKezQUJIa9ER7su+hrBb2/3nvPYMw4LvZHSqTiRDoNSwmLxupRN9llqOOW8/x9vnXK76TT4fr6L5bz4ZW09iNEIfCmZOoeSA1etKmm94616Gt+4FlHqWd865DE/YkVNS75ZNXGLZlHYuteg6E/KJQAEZvXaa923NGjFp2L+dv137vfj1GnCiVVr5EOxVC5MjYtGoWZEMFXE6oEiICgxZMqmSoVNZUn+qp8gKTYYKnSLbXTuBN6ZektzEVcVNOhHeIx6CfUH0dn1aDRGALMuE+kL4D3sYLicXo6YSoSj2N0xQyFAmJEQmoqkdtdoSrRth497NSTU0iYgW9a459wrtKqos904u7hVySuoNQT8YcxddZ0qf9coq72HquETzxwxeO9lqeI7UNuWdXjzRKi3NReKCgJxyfrB7phVRRCFRJESDgKKkPv24MmfhyNBgpsgkBA5XjKRPsCmRHu+BNFl+InbXTlDMFVOQzU06Bhk6Xm+n5vI6ZFlOIkVyZFfveKOd1NurkaGsBbARmH0eGvZvB7LXlmjxsUEQ2DdqKvtGTVVtPJpICNxWB2vPvRyf2Za3EinTs2WT1L/jH80l1vToUBSpKa9U9MvUMYLUKI7a+5xXtOckqbTyLRJPwiD2TCtCG2QZgrmD5Zrm+bjjtCdEe/fu5e677+bDDz/EZrNx5ZVXcsstt2A0ZvdFkWWZP/zhDzzyyCN0dXUxfvx4/v3f/51p06YNeE2niqQ+a/Snn2ToVE6RwcDJ0EdV43ltwiJcloRIj8fJeZv+xejW7WnjJQTemHqJ8iJPN+ko3HtctD13hMrzq5IKrEN9ITreaMe9J9lFW40MgbYCWJ/Fpql/lRYfm6TnyBINSEqjhVXSaDmUSGrPpiapP8OoraljLOWVAi39y9RMHQvuyXOSVVpN+7Yxc93LrJulvS9UDIPQM62IIgYD/e+4eArA6XSybNkygsEg9913H7feeiuPP/4499xzT85r//CHP/DrX/+a66+/nt/97ndUVlZy4403cujQoZzXZoOAnJQiS5TUJ9YLRcmQEA7GyVAoGCdD0Z9TU2QqZEgKBuP1QhnIUPS8FAxlrRdKJUNyWMpJhsJBSZUMSaFwEtkJ+cODVi+UjQyFfGFNZOjZ6Z/HZU5uBuuyOHj+rKXsrp2Qds2RoSPVO8tDkpt0Nrj3uNj/x70cfvwgbS8c4fDjB9n/p71JZCjsDWclQ1B4t+BoysvmdqafVOnTtfacK5CypFbU5rS7nFlTK9nWHJXUbwg0xiT2efcxy4BoBKpHSk6f9UjWzPVHsoy9r0dzFCcahcv19duW4705EZi+4XVNa1VD0aG6iFMdp3WE6LHHHsPtdnP//fdTVlYGQDgc5q677uLmm29OahqXCL/fz+9+9ztuvPFGrr/+egDOPPNMLr74Yv70pz/xgx/8YEDrylkvpBYVUh7ghKXIks59glNkoER6Xhu/SHmhEul5Y+oimlt3JKXP3GaNBCSDm3QaZPAezlzIm4sIRTEYbsGJKa/Ddc1smHFhdgKoIRrQH2+cfGtnBpLySkS+po6j9mzUHMXREoWbsW4VZ254bVAjQ9lacmhaqwYUHaqLONVxWhOi1atXM2fOnBgZAli0aBF33nkna9euZfHixRmv27BhAy6Xi0WLFsWOGY1GFixYEOuy22/IctF1mtMnRRbFQVt9UkF0GgQBl7WMI0NHUn98f+ywTWPD2VQ36XyglQzB4PSvgnjKq5ARqHy9cfJ1gNaS8vpgux25LnegPB9Tx43T5lPVflBzNKdQbtKZoIXotDROTCt6t7p6mKtSD5ZprYIkKQXVRYfqUxLF1h3acFoTopaWFpYsWZJ0zOFwUFlZSUuL+gdt9FxTU1PS8ebmZh566CF8Ph9ms7nf6+qXigwyp8jI7DoN2iT1+bpOK/fLnSJLxMdBUu8eom2jT4wIBfvCDHO1YJ/Ro542U3GT1op8yBAUvn9VKgoZgdKyWSeiPxGKXH3MfL3HoE7TI6Uj0xqi0cT5SzAGfDFvplwYqJt0JuTqPRYdk6lY2pOlHizTWr1mq+Kl1I/fuXx/D4ooYrBwWhOi3t5eHA5H2vHS0lKczgw1DwnXGY1GTCZT0nGHw4Esyzidzn4TIgG5KKmP4FROkcXuE5HUa430RMdFjRZFWWbuey8ojVRVNoNEN2nt68qPCCViMCMOhYpAadmsM6E/Mv6sKa9xI7JfLMsIspzZQTpL2tBvsfHcFTdpeqYoBuImnQqtvcfemL8ktuYkRIjdm/OXZFSHZVqr2I/fuf7+HhRRxGDgtCZEpyRkipJ6tEWFlHEnhwylegvVHT+A3ePEZXGob/ReJ3XHD6S5Tjcf3Mai1x9hzexLcdnKYsdT3aS1IuiTaKttGtA35sGIOCCAvd7CZw89y1uTFiikQkhw2o7M3dSymbaaRtX7admsc5EiY8DHc1fcpHnpqimvbFGmyNoXvPwwZr8Ht60Ee50JudzO9uFTNbX/OBk+PFp6j6095woMAX96S5SUsT6LjdaappgpZjbk+zs30N+DIrRBRi5I6w7lX3Fw+iCeKjitCZHD4aCvL/2bvdPppLRUvR7E4XAQCATw+/1JUaLe3l4EQch6bW5E3HUTVGRA4eqFBuA6DZ9sSX3sHhmMFkVkztv0L8VPSC3S8+4Lqs7TzQe30XhoO61VDRndpLVid/W4gn1jLmTEwT62hKqFNRgcBkYAZ7CKnpCZJ72zY0qraCRl89R5bJ46L+O6tW7WuTxrvBZ7QZ4rG2wuJ+dGohvK8+sxOEKAmwt4OanjvSpOgg+PFusFV0kZu8ZO1zTfkbrchCg17dW8d3PWZy3U70ERRRQSpzUhampqSqsV6uvro6OjI60+KPU6gH379jFu3LjY8ZaWFmprawdUPwQqZOgEpsgynjvFU2TK3CfXdXp063Yue/exdMdpr5O57+aO9IiyzPCjSqpIEoS8yFHYGz5lvzHbx5ZQt6Q+7XipzsuN9jd4deswnqu9WJNLsdbNOpdK7UQols57/XF0skzf/MmMPSf9d0xL+w/ghPvwaC18Dxqye7VpRX/SXoX6PSiiiELitCZE8+bN44EHHkiqJXrxxRcRRZFzzjlH9brp06djt9tZuXJljBAFg0Fefvll5s2bN7BFyXLcX6goqU87dt6+8zsAAGZbSURBVKqkyNQwunU7za07knqSDduvrTA2ir0jJmZIn6m38Qh7w6fsN2ZJFBi6aDggZFiWgCzLnDnexfNOKTl9prLuQqnUtLpoDwSvLLyGgNnCnaVPAenSfS3tPxJxonx4tJLFmtb97G+anHNcNkLSXxJfaL+sIoooBE5rY8alS5dis9lYvnw5b731Fk8++SQ//elPWbp0aZIH0bJly1iwYEHstclk4uabb+bPf/4zDz30EO+88w7f/va36enp4Utf+tKA15WxXihKhqRwGhmSw+GC1wudTDKUasaojAmd8mQoChGZ+uP7GXd4C9X79uZNhlaef3WahD/axmPviIkpa1OeIfaNWYO/z4lCS+NE1t74Zcw2McuyBMr1XpoNHWoDktbtLB2i6d5WTx+SIHCktondo6ZypLYpyewxqjgD0o0Co68HSBz9Jmus432Wf5ZY+49cKGRUK9t7k9PsMWIeOWnb25i87qzjzF43tSqEKCeJR92kczD8sopQgRzfggbyX5buRR8bnNYRotLSUh566CF++MMfsnz5cmw2G1dddRW33npr0jhJkgiHkzfPr3zlK8iyzJ///OdY644//elP1NenpwbygzxgSf2pmiJT5h38eqET3aU+E1ILp7VAEgTWzL5UeaGhjUeikuxU+8Yc/eY/3ajNO0at/UUUHmsJLY0TWTdzYfboTUSl5jNZ+du13zs56qMoQRCEnM8VxZBwD3vkqhPiw5MrRbW/YQIhnUE9coYig9dLEue9+WRWi4b5bz6p+oVgIGmvwfLLKqKIgeC0JkSgeAc9+OCDWcesWLEi7ZggCNx8883cfPPNhV9UHikyKErqk8af4C71mdAfMgTQWtWQlCZLQ6SNx+GyEWkbxKn0jTnxm3+/Or5ngMXr4rVPfU55kYUMgeL0/PJF16adTpWM50ox9gspxEBr+4+mD97nvTPGFtT7KZM/z/6GCVlTVNM2vsnGafNV5zT7PMx/88kYqVSzaEgsKFfDQEj8YPtlFVFEf3DaE6JTDpEaIqBg9ULhYJidgTK6gzrKBD+j6UAUTm1J/ammItOK/pIh0Nieg8wbxKn0jTnxm38h2l8YAj6QyR5NABAEZrz/MjsmzIq9Tj0frUky+n05oxP9gSHoJ2iMiyr2hobhkozYhIDq87tlE10d/n57P6kRn9S5rK4ewjpD5ueLvDebps7LfD6yWF0oSMP+5CbFTfu2MeLADrZNnENv6RAczk4mbnsHfQ5744GS+MH0yyqiiP6gSIgGCwWS1K/zVrKidzRdUvxDulzwcrVxKzP0bQN2nYYiGYKBEaEotLbnyLRBnErfmBMJ20A6vkcRNJjYOnG2pntLoqgpDXOkTl1F2h8YvW6mbnmL6rYDPHdlir+RTHb7FVnm7bMv5+qHf6Lqw6Pmxpwp/WXyuvGb0yNznlwtSwQhTemXet6dIYWVaQ2bps3LmZ4sBIkfFL+sIpIgA6HQwN9P+WPuQQRFQlR4yLK2eiENKbJ13kp+1TMp7Rbdspnf+Gfw9fC7nCm2nvIpMmXukyupz4ZCkCGA2vb92N052nhk2SBOlW/MqYRNrf2F3y3zpHcmm8UROf3a9o2aOhhLHRgyNE+VBCFpk2/WH8OuC6hOIQhg1wWoKvfHiEZN277YBt9W04jPZGXtuZen1fyM3r0xY3orRoZUCpUHikTCOxCrh0KR+EL6ZRVRxEBQJESDgQJI6iUZVvSOjkyY+kEoADKPhaYyVTiMKBQl9f1FocgQaGvjkWuDyPaN+UT1fMr0zT+p/YXgIeiWOPsvf6R8pAAXjc8+oZaNPEIW61pb2KBhjXWtLezKJbvXcG+zz5PUST5pkyd3sXgUDtEbKxxPJbSZ6pncttI4GRok4qOGKOEthNXDqULiiyiiECgSosFAnl3qM6nFdnjsSWmydAh0YWU3lYwKtMavz0CGiimydBSSCCVCtY1HHhtEpm/MJ7Lnk9o3fxmRPUHFzuKi11YgSjJN+7YxZfMaNkdrV/qDBLJY29qSMw1j8nlAhnPeek4pvlbL5eUiFoKA32Lh4IK5DHe3YT/ciu+gO+mZtBZV90oWxNIhrJ+5UPVeWV8XAtG+axq7zhfKHLGY9iri44IiISo0ZLkgkvruoEHT7bpDhsi9Cpsig5MjqT+dUmRqaD64jREfbSnYBnEyHKzz+ebfsH/HgAhR6pxZ0zDRxqlXKo1Tp218k92jp+Uu2M6AKYYDShpwpgcwAg143dC58mDsmbQWlR90O9gzc0FmIjJI5CcTydIF/ISMJk0RykJaPRTTXqcwZAj3P4ieNM/HHUVCNEgYqNFiqejTdB8H3lOqXuhUjgrB4JOhqLeQSHaHX60otIN1Pmk3rd/8cxbXZsH09a8wc/0rSXOqkbFURNNOC17+GxafB7fVwdpzL8dntuVcxxTDAW60v5l23GyFuiUjkJ86FHumXEXlb/tHM6mknV7Joqnh64Agy5h9HmTI2Jg1ZFR6M5p8nqTzmYjsqWL1cKJSwUUUkQtFQlRoyHJBXKfHyB2UC166ZTMZK1ZlmXI8jAq1xw4VJfXZcaLIUCFRyJ5PmdJuVlcPE7e/R6mzM+NmpOWbf9bi2hwYfiSzE3iUjLXWNvHywmvwm6yqhPCdsy/nmofvUQqYNTR9FQnxOdu7sSkyTEn1hdWc+69neWnhF9kcGJGxqNwtGUGAS62bYsc0NXzVgkxpv8ixuaufYu05l6tGiZBl9KEgC//5e7xWe/+J7AmwejiRqeAiTi727t3L3XffzYcffojNZuPKK6/klltuwWhU76l37NgxHnzwQdauXcvBgwcpKSlh5syZ3HbbbdTV1cXGvf322/zjH/9g06ZNdHZ2UldXx+LFi1m2bBkGg7ZsCxQJ0aCgEF3qRQG+oNvIb0Nnkab7jXywfTa0HhH5lJbUn66u0/liMMgQFC6toZZ289hKWTfrotjr/m5GqlEdNYKkYbMVIzUxfrMNAYlmfTsO0ZsciUkghFreqymGA3zO+i4lol91jCCAodTApPA+iDzTZiFeVF4edtLgPcw5NUfSrtXc8DUbIn/falEek9+LJwdJdpeUISAzes8m1WEn2+rhVG1m/HHDqSC7dzqdLFu2jIaGBu677z7a29u555578Pl8fP/731e9btu2baxatYolS5YwdepUuru7+b//+z8++9nP8vzzz1NRUQHAY489hs/n45vf/CY1NTVs2rSJ++67j7179/I///M/mtdZJESDgQK5Tp8ptvI14R0ek6fRTdyXpBwPnw2t5wzp0CciRQanLhkaLCIURSHSGlp6TkUxkM0oNcXmLB2SuVVHwmYLcKS2STVd4rGWxGt9EqIzqZEYj7WEntKhWdenliZTQ+3iesR/HaThb0r0aX/DeD4aM529lmFcWrUFUI8wpTV8zSNyZva6mb/6KdV05W6NFgZaCOLJUomdqs2MixgcPPbYY7jdbu6//37KysoACIfD3HXXXdx8881JvUcTceaZZ7Jy5Ur0+jhVmT59Oueddx7PPPMMN954IwA/+MEPYuQIYPbs2UiSxP/+7//yne98J+lcNhQJUaER+eMdSGPWKKSQxHThCJODB9gtVNKLBUfYwyj5WNbIUKGjQsq4Yr1QKgabDEFh0ho5026JGOBmlJpiq+hqV91sAdV+ZVEyYB9bwmUZSExqJKandCjrZy5QJR4CEout62KPqAU6i466JfXw5CH2ByxsnjIXgFH69iRylnavhIave0LV8YMacc7a52JEJFO6stC1PydDJVbIVHARpz5Wr17NnDlzYmQIYNGiRdx5552sXbuWxYsXZ7zO4XCkHauurqaiooJjx+INlTMRnvHjxyPLMh0dHUVCdDKRSVKfsedYDjIESl2QCIyVjyW5TkdnixIeCYG9+mp6ZDMOwUNT4ChyAmFS5vxk1AudzimyVBQirZF3Q9gCbkZqm22unlwmn4eAxcKdpU9Fl5S6xFgkpuWwQ73dRwTNuuwkJhMEQUCWZaoW1LDWeXls/ny8ifoDm6c36/mqo/sRJCmrvF6QZaqO7td8zxOtEjvVmhkXoQ2tra188Yvpf7dRvPrqqxmPt7S0sGTJkqRjDoeDyspKWlry+73bt28fnZ2dNDc3Zx23YcMGjEYjw4cP1zx3kRANBnJEhUKSQNhsRTYK8bGhEJiTW3BIQeWYnNBTKBwMEc2eScEw2GCnoY6XzdNw6eJpNXvIzQW9HzDGdxgpnLx5x8hMwmdN6hhlXOZNPzUdFzseIVhq34VDOc4nQvJL/dLqhNwSurJ+XKgR4QiZ0w3eLdIwOtyFefO/2DD9fLy2+Dcmq7uXMza8Tn24C0bUqF5fXmZiqCP/P3W5aSQ6vfqmLgkCHZXD8ZltmH1uKjsOZyRmOmAEXgh4QQ/SiBq2XXoVRgTSfsUiTMdvtmqOxJzX/hbPj7o867M4dNpUm+n3EDCUGqgW/OwJKb+5+XgTZYQsIwiyYnKZWBMlC0nRPjX1VXt1A7KY5a8j0sKjvbohieScSmquU0Xh9omADOFwAf6dBzBFb29vxmhPaWkpTqdT+xJkmbvvvpthw4Zx6aWXqo7bv38/f/3rX1m6dCk2W7oaUw1FQlRoxFJm6WRIBrpHTsFTPxZEHVFqIEd/0+TkOdKnTj8eQI9dNJM54NiEK+zFKCcYP2aaW+UXPXXTj16b8aNYhmy1/LIsY8pyPtdaNF1aCK+NrDc4ebUMQ4BpQFhnQBIERFlGFzbC+Z/VdO1IWylStk00A6xzPo8uHMx4LqQ34jdZqE+YU5QkTH4v+pB6qwsiz/A5q51QWGLjXhdrtvUl/7NHoh5aIywV4dwfqFpJjBoS1zLQhrdTjAdVa6Jq1r6p2uMsmk4M67R9bKe26DiV1FyngsKtiPxRW1urGgU6Ebjvvvt49913+eMf/4jVmt7vD8DlcvGNb3yD4cOHc+utt+Y1f5EQDQJUzRZHTsHTNBm7pQSjoLTfSIXapi4nnoj8KAMd+lLsWWIpoixREeyOzJFyv0zcSG3Pz0IGcvEEWdJGJAZEaAabrGh8hhMKg/ZN3qoz5WVeKEphSoMSgiEDCTeacdnLyPxxpGy0xoB6RMZvtCDaHSCHmD1Ood2rt6VHAjSTmJ7cxGlvaBger4DFLPfLJzFxLQNpeKtW2B2tiTpiPMjmHOqrmete1rTmaHTlVFRznWyFWxEnFg6Hg76+9L9xp9NJaWmppjkef/xxfvOb3/CjH/2IOXPmZBwTCARYvnw5TqeTv//976qkSQ1FQjQIyFQ4LekNeOrHYreUYNfpIuQk+ZNZluS0fFKMCAlCjAghKOTGLxqQBHUPBwBJgLBoxBgOJN8vIxlS+fBRIQNaPqsGmwxpnX9AOAH3kBEIGoxIog5RCmMIBhAKaA2rD8sgaP9zt7ud6DM8t4yAx1YOgnrS0GMrx+w7qrp+fVgCwQCCAYsVpjWHeXeXi0CKNDh3JEYm1BvEsnEvtonZow02Vy/HXz9E/eLheXX6UO4R4qjTBLb4hWoNb3skdR+ibIXdQuRvOrVeKcMgto+fjdHnJpDJmynhgbxmqyY11xvzl2D0+1Q9iwYr1Vbsg/bJQVNTU1qtUF9fHx0dHTQ1NeW8ftWqVfzgBz/gm9/8JldddVXGMZIkcfvtt7Nt2zYefvhhamrUywjUUCREhUaKyiwaLQrpTCDqMEYKNdMuy7T5ZIgKKceVsWGNVTZp47SSoSxEoFBRIWWs5qH9vke/cIKiQn6TBZe9DEmMkwxRCmN39WDy968wNxWJc2eDIEmUuLpV7xslbbnuFTQYMQaTvX4SSZ8gS8iCCIIevU6kxKKjsy+UMj5bJEb5t2lfdRRR0hZt8OxzsmHNcJrOsaYZLNrEQJZ7tHFO4Lm0+TcHR7KlZ7hSC6Tz5XSqbtYfy1ETlV6vlGEQ7pKy7DL+BMNKs9+bU80VbYUSRaJZp7N0CNsmzE7yPUpUArbWNHGkTtnQ6lpbqG1tyYssFfugDT4UH6KB1xPIA6icnDdvHg888EBSLdGLL76IKIqcc845Wa997733uO222/jsZz/L8uXLVcfdddddvP766/zpT39i7Nix/VpnkRANAjKqyMzR78vJkSG1TT0XGQLQaWQSsXEFiAop12S/34lIkX2cyFCvY0j67UUdvY4hOHo7C0KKREmbKs7R25lGZFLXpQWp4zKRPgXK34La3q4WiQn1BmlfdRTXLiUMrzXaYFuzjXeOTOTIp87GaNPFSMzM0E4W29aT2A0j8R5NZJ5fFnTsCdeAhrd3sNVpSYgoBY/U5v72nYpUs87UP/hoqk0f8BMyxRtQbwBMXjfnvflkXtGdYh+0jz+WLl3KihUrWL58OTfffDPt7e389Kc/ZenSpUkeRMuWLaO1tZVVq1YBirv18uXLaWho4Morr2Tjxo2xsRUVFYwYMQKABx54gMcee4wvfelLGI3GpHGjRo3Cbs/tYA9FQlRwRD870uqIQulS9HyiQso5OfEFRjmITpYIC+qRIp0cxigFPjZk6OOSIgMlYuLKUdfjspdh9PsGnD4zBAOIUjgroYmm6rJBK7FKHKdG+rRiczDiEq1TnKrHvvcWZe/vRkKgLcHUsWH/dk3RhqaWbTTsi4+bEBl3ABlrvRWdXU/YFcJzyJP0d5MazegqH8aGGRfmfoBINGfA6rREDEbDWLW5VVJt0b5pifCbrUWX6SLSUFpaykMPPcQPf/hDli9fjs1m46qrrkorepYkiXCC4nnTpk309fXR19fHF77whaSxn/nMZ7jnnnsAWLt2LQB/+tOf+NOf/pQ07q9//SuzZ8/WtM4iISo4ZKRgKN13yEzSh2t/UmQJBwAQkCkN9dFlUC9KKw25Tki9UDFFlj8Gkn7KFwIydldPVmJid/XkJF75EistpE8LZEQlEhOS+Wh0BWcfE1h77uX9Vk2pRSU8B7N7FSVed6S2SRshihCKgarT+oO6Iy1sm+TGb9YuPdaEHOm6t4ou06cO5MK07hhoSWNzczMPPvhg1jErVqxIer148WJV08Zs1/UXg9iW+ZOLjCaMkRyuLA2ADMlyEjORZbBIfiqCzrT0mU4OUxF0Yg6lq31U64U0kqGHnnmSC2+8hgtvvIYFX7qWK5Z/ma/c+T3ue/ghDrSm93eKzSMNjAxd9x+3cv+jD2m+5ucP/o6b/vt72gYXgAyteP4prrz1K5rH9zf91F+Y/F4cvZ2x6M2Kv9zPLV//AqIU1pyaixKrbEgkVlpIX16IpIJevuhapYg6AdFUTkvjxMLdLwui0nGtCkcZkW0blJ9S/wZzqdPyhixj7+uhtq2FyZvXDny+fBCpc2qraTyx9y2iiAGiGCEqNGIps3TXaXV/ocj5HCmy5HPxny2SH7PfR0A0EhZEdLIUUZVlmS8R/UiRmYxGfvad/0CWwOvzsu/IIf61+nVWrnmd25Z9mQvnnJs8TwGiQt//6rewW7V/07360k/j82uIrJwkSX1/0k8Dhcnvxej3KVGngB9RkqjoVFeEqc3h6O2kz16eZhAoSMn/0AUlQ6k4yT2wskrHVdDdEqAzeJwhZw1NEX0KvOYb3/+GsIlIka2fueE1tkw+B79ZRZU2SCi6TBdxuqEYIRoEJEaFomQoWlOUCFmWMpIhWZY1k6HoeACjFMAS9hWEDKUEo9IgCALjG0cxoXkUZ06czFULL+GBO3/ExFFjuPehP9LWEe8zU6gU2agRDVQPrdR8fW1lFU3DR2QfdALrhQIGEz6TlYDBhIwQSz9lg5a6nnwhIGMM+tGFgwiy3O/6pCgZCiSQTlkU6XUMwW9S6mAKSeaSkCVl4zqB0YloMbfZ59Y0fmSlmyFzkskQKP8mF5i3M8VwQPVaAYlR+qNMN+5jlP4oQuo3qNhAgTE719MxtJb3Zi6gtbaJ+W8qLVAyfHhoWnd/UHSZLuJ0QzFCVHBEZPcJMsdwIFJDlDgqz3qhlB8zj43fPve4ARROqw0wGoz829XL+PL37+Bfa17nS4s/HyNDL7+9midXreRw+1EcdjsL58zluiuvQpcQYTje3cWfn36c9ds24/F5GVYxlMvmXcBnLlAUL9f9x63MmjyNf/vCMgD2tx7mj08+ys79LQQCASorKrjo7Pl87qLLACVl9tHBffz++/fE7rHvyCH+8OSjbN2zC52oY/r4Sdy85AsMq4h3Sr/o69fxpU9/Hn/Az/NrXkOSJGZPPoN/+/x1mE25/bZ37W/h/r//lX1HDlE9ZCjXf34Z48+5ICla8vpL/+TF5x6nvbODsvIhnHfBJVzxmWsQI+/Hk48/yL+efZx//HZFEmFZ/O2v8pnzF/LFy5S8+nd++WPMJhMLz5rLg88+wXFnN2NHNnHLNTdSWxlXb3T2dPPrRx/kw53bsFttfPr8hWnr7nT28OCz/2DzRzvp6u1haFkFc6fP4tpLPo3REPchv+jr17H0C1/C5XGz5o2X8Pt9fP1b/8m9P/kvfv7rv1JdMzxWDO5zdnPD17/I1cu+xoKLrsz53uWExkjMQKITIVFk28Q59JYOweHsZOK2d9BL6qy+ad82RhzYwYrr/hOf2abqDVTi6mH8DOXfV0gZk9ibbYuzXkmbyTJmrxuf1c4UwwFVd+tMUaWPxs+M/RxVf03b+Ca7R09Ll+FrfE+TxkcXrXLeVnSZPmUgIxMOF0J2n6yQ/jiiSIgGAYmNWaNI7EeWTIZkBNEXOZ7gohv70Im/TPVISfo8iu6ZGXxU0j63JDkWG5Qlc9JFAy2eHllbx9Dycnbs2RMjQ0+s+hd/fPIxFl94MTd99moOtrXy4DP/QJIlvrR4KQC9rj6+dc9dAFx/5WepGVrJkWPttHW0q97rzt/eS3lJKbd98UtYLVZaj7VzvKdLdfyxrk5u/8Xd1Awdxh3Xf5VAMMiDzz7B7b/8MQ/854+wmuPqnmffXMWkUWO5/bqbOHLsKH98+jHKHQ6+9OnPZ33+cDjMj//0G5ZcuIjqIZU8u/YNfvybn3H3iFHUj1Qk0C+vfIq//vl+Fi76DDeNm8iOvbt4/PGH8LhdXH3d1wBikRstdT0thw/yj1f+xY2f/hySJPG7Jx/hpw8+wP9+587YmB888L8c7+niG19Yhs1i5fGXn6ejuwtdAknrdfVRYrVz85KrsVttHD7Wxt9eeIYuZw+3X5dcG7Vy5dOMGj2eL3/tO0hSmGlnzKa8YihvvraSz1/zlVgx+KsbXkcAzj73gpzPEUPiL2EmB0UN6G904p2zFrFp6rykVOA7Z1/GlE2rGXlwl6p6TS9JzH/zqaxeSJftfg7DheoNbqK92Zr1x9gTVMjs6N0fYpwyjC/a30sbH3W3/rNrfs5Um99sZeO0+Sx4+W9YfJ7Yc/hM1rTi9FwwBHwEjebMRCryrM0tm2mraSx6ChVxWqFIiAqM6N9+EhmKsHMlFSYluE7LVIy5HqN904lfaAT+3ql0bP0Dspyb+WtVeVWWD6GrV+kv5fF5WfHsU3zuoku58TMKmThzwmQMej2/e/xhPrvwUhz2Ep5ctZKevl7++IOfxNJi08apF8c6XX0cPd7B1z53LWdNma6MHzsh67qefvVFQuEwP/7Gd3HYFF+K5vqR3PTDf2fVO2u4MiFqUlFaxvduUMjJzIlT2HNoP2s+XJeTEAVDIa5edAUXnT0fGYHGuQu49Vs38M+nH+bfbvl/SOEwT/9jBWedcz7X3fgNRCnM7NFjkf0+nlz5NF+48BLKrFYsHlfW+yTC5fXwm3//IWUliuGZ1+/nFyv+QEd3F5XlFazbtpmPDu7jJ9/6Xuw9mjpmPNf+5y2UWOP+HI119dy0JC5tndg8GrPJxM8f+gP/tvQ6zAkya7u9hFu+899JkY5551/M6tdW8tmlNyLqdPSWDuHFd9YwY/ZcbDZtPiDRP6BM0Qy7y8mct5/j7XMuV3elRqlj8przs+wHhQxtnDY/fUmCwKZp89l0xnmxY5kUbbm8kOoth4D6nOtwiF4EWUYWRbZOPYc7S5V0l0rJVFpUKeP7Ehn89jmXc+3f7kkiKY37t9FW04jb6mD1vE8rZEclymX2uvniih9xcOR43pi/BL/FljYGUWTz1HlsnjrvpPZLK6KIfFEkRIOAKBmSE8KU4cQaoqTo5ckPQRZaUp8Yvdq+dzdev495Z85O8pc4Y/xE/MEA+48cZsrY8Xy4cxvTxo7XXCPksNmpqhjKn595nD63m2njJlJZXqF+gSSzdfcupo2ZECNDACOqa2mqq2fr3o+SCNH0cZOSLh9RXccb69O/pWfC2dNmAIrCCr2RM2eewwfrFKVPa+tB+vqczJ6jbLzRSMr8M2fz95ee48BHWxk2cWpedT3Nw0fEyBDAiJpaAI73KIRo1/692CzWJMJos1g5Y+xE9hyK16zIsszTr7/Eyrfe4GhnB4EEYcDR4x001A6PvZ56xqy0tM95n7qEZ596mE0b13HGmWdx4OA+9u/bzRe+eHPSOIvXhdHvRRZFXClEKdFIcfZ7L2b0FBJlOWshsywIrFp4LWIeXjghUWTT1HnKCzXmkQC1PmDZnJfDI7SRtN6wGTmyhtzu1glRpVB19tSXIOC2l7Fh+vnM+OC12OFEKwF9OJg1yjV/9VPoJSn2nFGn6p6ySlqap6Td/2T2SyuiiHxRJESFRuSDI4kMBYLEOmFKJKXBOnf9WUmZaSycTj6Y6fb51QtJ4eSUWdp8/TBaPN7dRV2V0kfG6VJSF1+/+78yXnesuxNZkul1uZI23FwQBIEff+u7PPjPf3D/Yw/h8/sZPaKRmz97NZNHj0seHHmGPq+bpvr0IusyRyl9nuSiWJslefPS63UEQ5k7vyeN0+koiSjhojVDpWXl9HR3AuB2KZGf0tI4eZNEHeURQtPn1lacm22thkg39Cih6XT2UGpPr6kpcyTL1p9+7SX+8NSjfHbBpUwdMx671cZHB5R6qEBKYXepoyxtvsph1UyaciZvvvYvzjjzLN58bSWVw2qYMOmMpHF+kwWby4mAjC7oIxT0MGft8wgtB5JSLGpeQU37trHwpb+xauE1MeKQhH6ozbZNnJOmmEubM8c9Unt+Ne/dHL+3oPwX8oTQWXRpZBKUv11nWHHOjt5vMNyt181cSEVXe0aCkk9/MVGWGd66l9q2Fv52bcTe4iQr/4rIALkwrTsK2FrxlEWREA0C0sgQIAWT1TZx4iIgh80p51AZGz2Q4Z6niOv0/tbDHO/pZsHZyrftaErm+1/7FsPKk00BZVmmeogSEXLY7XT2dGu6XxTDq2r4r5u+SSgcYvve3fzlmX/w/d/cyyP3/BqLOfKeJjxCidVOT19v2jw9vU7qhlXndW81hMJh+jxuSqy2mMLK2dNNWeTZ7RFi4nTGn1WUwnRH1lViU8iU0WBIiqgpc4fw+tW7yKthSGlZjJgmoieS1oxi9Yb3OWvKdG789Odixw4ezewrZVbpZn/+BZfym1/9iK7ODt5e8yoLL1mctvknmk0KyOjCQUYe3Em4tU3zM5n9npwEJqo2i5KqbE1Ke0v74aSdcA+/yZJGIqLpoinGg1QtrMHgiNcPZQ7ACDzpnY2c0DhXs7t1ymdILmQjKPn2F2uraczZLy3136KIIk5FFAnRICGxhigcCEEk1S4jJxORwVKRwQl3nQ4EA/zm0b9i0BtYdO55AExoHoXJaOJ4dzfnnjEz4brke5wxbiJPrFrJsa7jSYovLdDr9EwZM57PX3wZd/72l3Q6uxluTCc4k5pH86+1b8QIC8Ch9jb2HTnERXPm5XXPbHh743ouOnu+IpcPBfhg3VqaI1Grmtp6HI4y3n/nTWbOnhuT1a/+4D0Mej1jI4XXQ8sqCIZCtHa0x9RiG3dtR8qidlLD2IYm3F4PG3dtj6XN3F4PH+7allRDFAgG0OuSfYNee/+djHPqQkEcvZ1p/cnOPHMONnsJv/3Vj3C5+ph33kUZrx+oP5FWFVl0XEvjRFXC0rRvGw5nZ7/Xsr9hPJunzE077raV0nb5fBbZ3yTX1+seKbNiLC9362h9Yi7FmAaCkk9/sXz/LYoo4lRFkRANAtLIUBQqRCjDy5MmqdceFZLZvmcPAF6fTzFmXPM6R48f4/brb4rVAtmtNpZdsYQ/Pvkox7u7mDJmPKIg0Hb8GO9s2sD/u/mbmI0mFl9wMa+8u5bbf/4jrr70SqqHDuPo8WMcbj/KlyNKtES0HD74/9s797im6v+Pv86AMRgMBEHBGxcFr4j3a2J5t8zykpq3spJfWZmmmeY3Na3ULppo3tJK8pp5z7umhppp3i+ZCngBxRtsDLYxtvP7Y2zucradjY2BvJ+PR9+vO/ucz+f92YC99v68L1i2cQ2SWrZFRFg4ChWFWLd7O6qFVkVEKHfrg5ef64m9x//ElAVzMaTniygqVuOn7RsRFhKKbu0sP9CcwcfbG2t2bUORWo3qVcOwNe0QHj+6j3EffQYAEHh54aUBw7Bq5UJIgoLRPr4hrl+7jA37fsfLz/aApMSD1KpRAkS+vpi/eiVe6f48HubmYssfe03S3/nSsmEC6taKwpwfF2PUS4MQ4O+P9Xu2m2TVAbq4qS2H9mLroX2oGV4dB/4+hmwbWX7GRR61Ai+DR+yZpO74fdt6NGnaCqFVud8LgVajq83k7QO1txA54bUQcvse7yMVvllk/oX5SI9upIuLMcM4vqXRpeM43v4F3RGcg8ULrzRorfuHRSo9i37+J0v+zZ1mX8j64kd5J1wvrsZZoZqFAJsKW2FUwGFrYT266taMl+5YTl9AzM2lCYxx5L0gyh4WgEZT+vOuSnBiRoLI1RgLFGMxpFGbFBsyu8f6HLoLttcxoSzEEAuo1EUYO3s6AMDPV4RqoVXRrH4jvPjsB4agXj0DuvdGaHAVbNq/C1sP7oWXlxciw8LRukkzQ7yLJCAQ3078H37csgE/bFoPVZEK1ULD0CeJO107RBKEkKBgrN+9HQ/zciH280PjuvGY9Nr/mdQ2MiY8JBRfjZuC5ZvWYfZPi+ElEKBZ/cZI7v+qhThwFi8vL0we9Q4Wrv8Zmdl3UC00DB+/8yGiakUZYum79+oHb4EAu7f/igN7tiIkKBjDn38Zg3v0McwjCQjE/956D8t+W4sZS79DbM3amDhyNCbO/9JhmxiGwfT/+wAL1v6IBWt/RIC/GH2TuiE3X4rj504bxg3t/RLy5PlYtUOX1fRMs1Z4+5VhmLZ4nvW5S4o86mHBoFWr9vh923okPdeL8x5dLzQBHodWh5ZhoWQ0+KPLICgadOGdkaRvm2E124xlESCXotq9TKwZOkn/Qpi/MCbxLU3PHdFlmXEpD2vuGYbRZWVxwCcgWsyooCuwYP3477y6DlbKkyzqEHF5lWJunMftWnFQ+9r/eXaVQOH7XkTczbB5bEkQnoZhrX6yEs6gfnAPtye+aXisF0KaKlWhGjgKVcQS+Nio++MOMcTnHaYu9aWDBWPiKfFRF5lkitl7/mli5a6t+P3QPqQs3QAfH6HF836F+VDovRNsMeT5D7DqQA4eSnWeVb4ZSSaeHw7XSY89qfBVKbCtbzLH3aa8uHUpamSnc9Yh4ixEaK84IYDmwgyMDPjT7to/y5/B6SKzytocIoyBFrHe9yERKCDT6oKvzYVU81P70eKfA1g14hNdQ1cbAmXo6tm8xYg9IcPnvQBg89iystH50j74R9svw1BaHkq1mLXKdtNiPkwd4Y+qQU93cwvyELkao78vJl4hmAqZinZEphvLe6jTaziFB4UQoMuaMo+lEWg1CJDnGQormntSnkZu59zFnZy7+H3/LvTs+jyE3t4mP8L610RuLQDXwYwkaxlRIkUB4q6dhq9KgQKxxPoERuiPj9r9tQut/t5jUqnav0CG4x1esAwctnMsxTsgmmOcSFkApZ9RSQKWBcsIdKn1NqiRlQ5vrRad7RSJ1Pc544O9+CvAfnYaALvHlpVRFBHlCxJEbsJYDGmKik2yzCrcEVkpMjYrgxiSSSwzlLQCL8gkoRZd5J9mT9GCNT/iSsYNJCS2Qs9XXgPLlLSpYLXwK5TDvzDfsHerOJiRZJwRlRnVAP/FNYfSP8BQGFCk4Ffg0vj4yFurRdMLph3iYzMu4m5ENO7UiMXpll15xeg4FBBtdDFALsWQNXOQUz0Khf6BkAaF4mLDNlDYyuRiWYiUhYi8q3vN7AmUqMzLyIqMsXt0xSf+ylgUcWWnAaC0fE/CAsVmWc7OzvO0Q4LIDZiLIRMqiRh62o/IAJ24sertKEHf04sBy8uTVB5wVrTN+ngmpzhkGQEKxRJ4a9RgeRYidSTgV8DqXluuTC+lSGz7eMsovgWwfjSkz7pyxC6WZYwColmTwGqTgGhDH50n3htvrRYRdzMMTWq7HtiAu5FRONWym+Ve9EUTD/9mIiisCZTMqIb4ZdjHZl41OeL+O42ozCuGPWsZBmkdX+R+7awIGa7stKzIGErLJyoEJIhcDndQtVZjrQ4R5622xwFlnlLvCE+7V0iPXW8HntTc0XeB53qey5PkKZwVbXzFYaDMeq85YxwJ+OXzwa0z0vbxka2jIb2weFyFO2uOiwC5FBFHDyOLow4RV0C0cfFDa7Yknj2M/+olotDkuhQdS+7jEnTGIsOax0fpF2DRbsNXpXCJkKG0fKKiQILIDZh7hbTFLhRD5dgr5MgaTlNOxBDAv5aOVuCFgoAgm2OMPUmewtHjP2P4ikNAn2VmZSzLwldZCBYMtAzD6wiFT2FAQOcFMY7LESkK8MyfmxGTcQk3ohtjb49hFrfqj4Z8lYWmfbtsZJ75KgvRfe9qRN5Nh4BlIQcg/y8f/rX84RXgDXWBBjeKqyHM/xjai87BT1EAcaHM4JmxdUx1NjEJ3ff8ApGq0MKLxSWiRAo5njmyGXXTL9oWjhx7TjhvPyAcANJjdG1urB27UVo+UVEgQeRizP8ecIsh42+pXHNUvCMyR9ZwmnIkhgAY6u7YQysQ8PYkeSrw2tHjP3McEYcB8jxO4aUXGSo/Mbb3Hc07A4mvZ6Hef6dxLa65QRQp/QNwrEMf5ITXwoWmnWw2RVVxNYu14nHqfPg31My+YTYWKLyly/TRMgwQATAsi6qP7poICT7ermMd+lhkiNny/OzrPgwPzh5G7VtX+XW1L1nnv3rN7Y8FcLFJB1xs0sHq++VIWj7hDliX1CGqDEFEJIjciF3PEB2R8acM1nA0dsZHXWTb2wGdaBLwrC5d2urNxji6F0eO/7hEG19xKNBqIFSrnlS5thFSxDcDia9n4YKVatLnE5PsNkXlvGb2y8fV78scexlbzrTB4OP5OZuYBGmgjebHHOso/QN0XjUb6fvG1409S8axSAKWRce0bS7LeiMId0GCyA2YC6FilQZskdmHYjk6ItON5T3U6TWcooy8Qs7EzjBgrXs7SgiQ54HhKYj4igp7cO2F0WohUhVCqFJwiiNHPDxc8BWHPiVNYvVVrpVCHxSA5T6C4pmBxMcDwbAsdxVqB6tSc93b/NR+1My6YbfIIJ+MLY0Xvz/Jxl4xvkeGGXUTeM1tTNx/p3XB6nyKVZY8No9FonR6oqLwdFdZ8gRmfxCLVWYfciw4M808GS9EYkgXO2P+Ya6PnVHZqPrrq1JAIntkIWYEWo0h5kYvFmxhLBZKg7W9sAIBFH4BkAaH4XFodYs9OeLh4UIvDm0RIM8zEWL6f9tsl2HkEbFqU4kHQjeZxS+X7v8EgtKJHxuE5N5Hjex0m2LI7lEYgENJ/VFgXHvIBsZeMYeCkfWtPXgSlXkFPfakQlxg2giYz2upF3rXYxrb3fvRDi/qjhIJwoOQh8iNcIohMypivNDTckQGlD52BuDu6WXsheHtSSrlGT2fvQDcQdKOeni40ItDRzxtrMALYO2LMXsf+rbq7sSkn8f5pq5r3msOnyM7Pl4clZ8Yxzu+CEartS4SOeJtHApG1h/1WQsK51hHwLKGLLv0mMa42KSDQ2v9+czLUPrbEHqUdu9WWBfVIaoMJ5okiNyAhRCCZdo9ULHjhVK3b8Ivv282XPfx9kH1qmHo3u4ZDOjWGwIr/cTswrGHc/9dwUfzv0TKpOmIK+kG7ypKGzujx14lar5iYdPB3Vi6cQ32fL/KwZ3w24sxxkLPVaLNnjg0h9FqwKc0kTRIZ5etFhLW6u7cjYgunSCykVHGNxjYofpF+rV4xttUu5cJoUqBIh79ywDY9+5wrGNcX4i3ICpZy6YYMoLS7glPQ4LIxXCefBXzFEPl2CvEtYavjxBzxk0GoGv2eu7qFazcsgEsy2JQzz5cU9jGA1lkpY2dcQRHxYKjOGqjudBzxsPDhSNtSnyK1RB4wfYPOMviZKvuUPv44lq9RJstJLgKA9qNMbKFDTEE8A8GdsqLY7auSFmIpMO/mcTk6IO0eYshHtgKDi/Va2kHSrsnPA0JIjfCLYQAlusD0AkxpGVZXH9YBKmiGBJfL9StKoTAxh8pVx+RMQIGDWLqGh4nxjdEZtZtpJ055bgg8lBKPaMphlpdxNmE1BhXBTy7s6eZMzaaiyh3izZzGLDwVSl1D6yJjxKBcDYxyeIpfZxKt72/wE9ZaNEyQu8tanD5b5xq1Y2/YTxETuLZw7wDhqvdy7R9FGaO+RiWhdIs9d9akLZTlOy35cl9aHH6oFWRZzNjzAb2stUo7d69aDWl+CZciSBB5Ca4xJD1wY4fkZ3JUuDXc3nIUz75QQ8WCTAwIQiJkZbfFssqXshPJILG6IN5xeb1+PvCWdx79ABikT+a1IvH6IFDERoU/OQmLYsTF85i3Z7tuHH7Jny8vRFTszaSB7yKurWiONc5eek8Zi5bgAHdemPEC/0AABevX8X3G1Jx695d1Ayvjrf6D8EPm9chtmZtTBgxGgDw9apl+O9mBt58eTBWbt2A2/eyMeb9KWjV/lmcPHEEm39Nxd3sWxAHSNC2/bN45dU3IfL2go+6CHuP/4lvUpdjw9xFCAp44t5/+4upnGuMGTQCSzeuxp3791AnoibeHzIS9Wo/CQ4uUCiwaP0qHDv3D4Q+Puje9hkEBfJrRsoFnzggc7hEVFk3ovUuLkKjC8dwOKqN9UE2gq7BstjfbahJh3pfRQEAmBRTFCoKdJ4UPse5+g97Gx/41+omos2J3bw8RDnVo0zscxizjDsAvIoscmIjo+/fBq3R4vRBm7dbi9eytlaAXIr2R7frCl9S2j1RjiFB5Aa4xJCmSAOLjyknj8jOZCmw/IRlC4Q8pRbL/87FW61hEEXuLrSoKYmN0h+ZpZ05icE9X3xiU74Mg3u9iNCgYEjz8/Hb/l2Y+M3nWD5tNrxKmn8eOvUXZv+4GO0SmuPj19+Gt7c3Lt34Dw/zcjkFUdqZk5j94xKM7NMfA7v1BgA8kubhk0Vfo26tKHzy5hgUKBRIWfcTChUKxNasbXL/I2kevv81Fa/27IvwkFAEhYXhn5NHseCbGWjb/lkMGvoW7mbfwoY1K/Do4X38b/R7DntIcmVSLN7wC17p8TzEIn/8uPVXzFj6HX767Gt4l6RWf/vLD/jn8gWMeukVVA8Nw/Yj+5F+6rhD6xjDJw7IGFdltvGFqzaSPtNAkp/r/MQM8yTupgSuQopF+mv6Xy6OD+aE838iID8Pxzq+CJswDAocCAR2SXyMUfAxyzD8iizaSI+3Nb+9PZk31TX0kbMiduw1m6XU/KefGzduYNasWThz5gzEYjH69u2LDz74AEKhbe/86tWrceTIEZw7dw65ubn47rvv0LNnT5Mxjx8/xvfff49z587hypUr8PHxwZkzZxy2kQSRmylWFXM/4aQY0rIsfj2XZ3PNjRekSIgQgWGdP+PnI4aUKhV6j3nN5FpSyzYmx2UfjnjL8G+NVosGMXUxdPJYnL1yCS0aNgHLsli+aR2aN2iMacljDWNbN27Kueb+E0cx75cf8PbA4Xih03OG65sP7IaXwAsz3xkPf5FODFYPrYoPv/3cYg55YQE+HzMB9aNjDdfmLpmHuvUaYMwHUwEATZu1hq+PECuWz0d21x6IrlHL7uthTH5hAb4aNwVRkTUBACJfX3w0/0v8m3EDjevG4+bdLBw9ewrjho5Cj/a6o6AWDZtg1LSJDq1jjrU4IC5ckdnGF2t1nvwLcgGlDCJlgWsXtHH0JlIWwkujtvrBfK0u988eF3yFjivjYzKjGuBqfAteY31VhVCJxPYHGsF3T/p4rRrZ6Yi4m2lX7FgLeifP0NOPVCrFyJEjERUVhZSUFOTk5GD27NlQKpX49NNPbd67detWAEBSUhK2bNnCOSYnJwc7d+5EQkICGjdujKtXrzplJwkiN+JqMQQA1+6rTI7JuMhVaHHtQRHiqvraM9FyfQeOyHx9hPh6wicAALW6GNduZWDV9k2Y/8sKgxA6efEcVu/cgpvZWShUPgnKvXP/Hlo0bILbOXfxMO8xRvcfYne9nWmHsO+vPzFu2Jvo2sY00+XqzQw0jWtgEEMA0LhuPALFlh8GEnGAiRhSKJXIuJ2JN/sNQVDeA4MHo3f9BlgB4OKN/xwWRKFBwQYxBAB1ImoAAB7m6Twh/91MB8uyaJ/Y0jDGSyBA+6bNsengHofWMsc4DqjI1w9KX3+T4xpHg6RLi60eafKAYGgK8xD24I7bgnVNYBgo/cTos3UZwOg6sYNh4KsoQLGXD7IiY+BXKOc9HV+h48pg5PMcFbet0X3vajAsiwKxBPeq1cYlHhlizog3vmKHK+idcC8sy7oo7d554bpu3ToUFBRg4cKFCA4OBqA7XZgxYwaSk5NRrVo1m/cKBALcuXPHqiCKj4/HsWPHAAApKSkkiMobVsWQlR8qvllkMo6Ufi5kSsd/ARyNF2IEjEkafKO6cdBotVi2cQ36d+kJlVqNad/PQ7umzTGoRx8EBwSCAYOxX81AkVoNAMgv0H34mMQUWSHt7EmEhYRyeo8ey/JQI9zylyo4wDImJ1gSZPJYrigEy7IICZSYxM4I/fzg4+2D/ALHvRdiP9MjG28vnWdEv+/H0jx4e3kh0N9UsJnb5iz6OCChWgWxXFpmQdLm8KmNpC8Saa+9AwCXiaWbUfVxIzaB89hJLM/TxRuJ/K2vx7IQOxAIbLd9hb0q0PrrenikzgfIpYjMTkdmVEP81bYX73gfZ4ObSewQ1jhy5AjatWtnEEMA0KtXL0ybNg1Hjx5Fv379rN7Lp4SL02VezOdxySzEE1iWUwxp1FqrCtuRlHqJL7+AWYnIsRRsVxVbrF09EgCQWXIkJPbzwydvvYt2TZqhQXRdVDH7wA8U62qUPJLm2Z174ohkeAm88EnKVyhQmHo3QiTBkMotv9nmyWUW18w/SgL8/MEwDPLyTccWKAqhLlYbvExCHx8AQHGx6fsrL3RcMIUEBaNYo0G+2b15MqmVO5xHL45EqkII1aoyE0MA3zpPAjwIq2mIMzGvihwglyLx7GHdAxcdr5xPeEbnreGgQBxkGW/EQfV7mQ6taW1/YrkULf7eC19lgf3MLT5ZakaxO5lRDbGnx3DLvVqp6E3BzYQ7SE9PR0yMaQ05iUSCsLAwpKeXHxFNHqIyQGPex8wIR+sL1a0qRLBIYPPYLFgkQN1Q24Fq1uYvLZnZdwAAQQGBKCoqgreXFxgWBhVy8OQxk/G1qkWganAI9h7/E0ktbGQZAagikWDO2EmY8O0XmLroa3z53kcQ+eqOBePrROP3tD9QqFQYjs0uXL/Ky7vjJxIhtmZt/HnmJPp1eRKsd/ifEwCAxrFxAICqwVUAALfuZSNU/++7WXiQaxngbg+9Z+3Y2VOGGCKNVotj5047PFd5hm/Gm7IkzsXW0Uu1nFsWcSoOpbIDtvuaGSZ9EmukFnhB4yviHHOjXiLu1KyHzma1gWxhq3jkP627276Z5x59lYXofPg3RGVexi/DPua+1+wxBTcTfMjOzsbw4dZLPRw4cIDzukwmg0Ri6a0PCgqCVOr6L4HOQoLIzVgTQ84WWhQwDAYmBGH539azcgY0DrJZj8jeGnxhtSyupF8HABRrinHtZgbW7NyK2hE10KRePNRqNTYf3INFG1LRoWkLXMm4jgMnjprMwTAM3uo3GLN/XIzPli1A1zYd4OPtgysZ1xFXJxptmzQzGV81OASzx07ChG8/x7Ql8zDznfEQ+gjxcpee2P7nAfzv+28xsGtvyBWF+GXnZgQFBILh8VoMe/5lzFj6Heb8uATPtW6POzl38eO2X9GxWStD/FD96FiEVQnB0o1r8HrfgShUKrB+7w5IxPwq8RpTJ6IGOjRtgSUbV6NIrUa1kiyzYo2Vo9YKCt/aSMZB1daOXozFRIFYAoVIjPzAYF0Xe2vHbBzXeKW/l8Qa+Srk0Njw2qhE/obGrDEZl2xW0ra1P1dWae6+dzVqZt9AVmQMr0y09mnb0OTiMfIMPcW4IoaoMlDhBdHBgwcxf/58ZGRkIDIyEqNHj0b//v1t3lNUVIT58+fj3LlzuHTpEhQKBY4fP46QkBCX2eVKr5A5iZF+eKs18Ot5qUUdogGNuesQOboGH1TqInwwdwYAwEvghbCQEHRp0x7Dnn8Z3owXWjdqijdeGoSth/Zh7/EjaBQTh8/eGY9R0z8ymadzy7YQCX2xdvc2fLnyewi9fVC3dhQ6NOXOpKkeGoY5YydjwrzP8dmyBZiW/AFCg4Ixa8wELN6Qilk/pCCiajjeHjAMizassojn4aJdQnN88ua7WL1zC2YsnY9AfzF6d3wWo/oONIzx9vLGtOSxWLD2Z3z+w0JEhlVD8oBXsWzTWqdev/HD38Si9an4Yct6CL190LVtRyTUa4AfNq9zar7yCL8eaVqEPbjD6yBPwLJQ+fpZxMQYPEUliJSFYGFah8iZvmYqe81WjeoDaRkGxzr0sVlJ2xhj8VTIs6mrTfRxQ3fToWUY3KkRa/8eAP4KOYkhgheRkZFWvUC2kEgkyM+3DGmQSqUICnJN3KQrYNjShI57mFOnTmHEiBEYMGAAevfujb/++gtLlizB/PnzLeoUGCOTydClSxc0adIEDMMgLS3NZYJIlZ2Fs/05AsSqVYPPe2NRxS8I3ra6FDjQgkPLsrj+qAgypQYSkRfqhtquVO3oGk7joarT5mTdv4c3Z0zC+OFvoltb/pk5hGuxlmUGAGCLobmfCel706G5ddfuXCbVma3UEYrKvGJRqdr4aGpb3+RS7ccqNrxSeg+S8T5KffzHsXbi2cOcR4u2eHHrUgqG9gCdL+2Df7Rj2avOcP9xMcZ9lVPqeeZNrIbwEOd8KEOHDkVwcDAWLVpkuJafn49WrVrhiy++sBlUrefOnTvo0qULZx0iY1JSUrBy5crKV4do8eLFSEhIwGeffQYAaNu2LW7fvo0FCxbYfMEkEgn+/vtvMAyDTZs2IS0tzWU2WZOXGpUGPqX0DD0Zp/t/AcM4lFr/NHWp52Lllg2IrlELoUFVcPfRfazbvR0hQcHomNjKYzYRtnuk+RfkoaCYX3FILcNYr85c4qlJj0lAu+M7DR4Pp/uasSxEigLejUlN7OCwS19hWsCyVltuWG3qynddlsW/9VtxtjjhhFpmVApYlru5uDPzOEunTp2wZMkSk1ii3bt3QyAQoEMHB5oFu5kKK4iKiopw4sQJTJgwweR67969sWPHDty5cwc1a9a0cjd4xZW4imJlsc2G3mXZpd5tlAOvkFpTjBVb1iMvXwahjxAJ9erjrX6D4SfiCIolyhRrPdK0AhZ8c/TuRkTb9nrwqLTMqxdXyV/+Z/7crDsC41s7iEcF6Ii7GXZFnVOCqOR+pZ+Y3/2UVUaUIYMHD0ZqairGjBmD5ORk5OTkYO7cuRg8eLBJDaKRI0ciOzsb+/btM1y7cOECsrKy8PixLnnl3LlzAICQkBC0bt3aMG737t0AgOvXr0Oj0RgeN2nSBDVq1OBlZ4UVRLdu3YJarbZI5YuN1Z2bp6en2xREZUWx0naQrCe61LucciCGACC5/6tI7v+qp83wOFwtMlyVal+auUvbI41v4LG9cfZ6cRlnXAlY1n4jU54CptA/kJeoA8Mg/srfyIxuZFplmq9Q4jFGLJeiI2WVEWVEUFAQfv75Z8ycORNjxoyBWCzGgAEDMG7cOJNxWq3W0A5Kz+rVq7F582bD45UrVwIAWrdujdTUVMP1sWPHmtynf/zll1/yOpIDKrAg0qfqmafy6R+Xh1Q+T4uhp/2IjLDEWosMV1SmdufcfOBbQZnPOK6MNT9FAcSFMpPMML14OpTU3yRA2wSe3hz/wnzeoq7Wneuofesq/uz0MpT6gGsXerWf+2MDambdcNl8BGGP2NhY/PTTTzbHGAscPbNnz8bs2bPtzu9sdWpjypUgys/Px/379+2Oq1XL/YFopcFVQkg31jkbKotXiHiCrRYZMkkoJLJHTgsXd87NF7vxPw7GxPCtrKwXT/80fw7nEpOgFnLE7XEFVHPYdTcimpdt0qBQnGzFUZfIzjp8RZPCFVltRAXBNa07UIYFXT1FuRJEu3fvxtSpU+2O27lzpyFVzzyVTybTVRv2WCqfnfN4OiIj3AGfFhnygGAIVUqHj8/cObcj2G1/AedjYuzVDxKwLFqcPojLDVtD7SPkH/9jZpfS11+XTWatFhLLQlwgxaWGbZ7M68A6XuoiaHzsF2V9XCUcWZExVrPxKK6IqIyUK0E0cOBADBw40P5A6IKqfXx8kJ6ejmeeeZJSrS8Dbh5bVB7gW+Gg3HqFABJD5RR+LTK8oPYROhzH48jcPuoit/ZNsxb/U5pKy1wp8Fz1g+5GRKPQXvyPGcZ2pUc3wt4ew2wbwzAo8vGF2tdGLTEuL1CJUPIuVkPj7WN9XImQOt2yK0637ApfhS6k3fg40FbtJIJ4milXgsgRhEIh2rRpgz179mDkyJGG6zt37kRsbGy5CKjWU6zUgFFpwCdBnsQQ4Qx8W2TwHefMPUW+fsiXhLg9xohvZ3U+WEuBLxAHmVSgBvgHdTc/tR8hufdN7LJZMsAMtdDJrEiGgcpPjNhrZ3GjblPL5zleH5XIsmgp194JojJQYQURALz99tsYMWIEpk+fjl69euHEiRPYsWMH5s2bZzKuYcOGeOmll/DFF18Yrh0+fBgKhQIXL14EAPzxxx8Qi8WoW7cu6tat6zIbix3oOl9uxRAJoXIP3xYZfMc5cw9XXIq7Yoxc0Vm9WCDA4aSS7BMe9YP4BnXXzLphYZvd7DLztUtBdOZlxKRfMA3Itja3DW+T8d6JigvLwiJzy9l5nnYqtCBq2bIlUlJSMH/+fGzcuBGRkZGYNWsWevXqZTJOo9FAqzVVGzNmzEBWVpbh8ZQpUwAA7777Lt577z2X2MdXDFW0eKHUHZvwy84thseBYjFqV4/E4B4vonVj02+mI6aOR87jhwAAgUCAsOAQNKkXj5F9BiA8xEr14hL2Hv8T36Qux4a5ixAU4LpeT08j/Fpk6I6w3DG3PezFGOWE10KuMNwpbw+f/mHmpEc3wuGkfpaCwRizukZ8grpFigKE5dxEVmSMiT2u7FVmD//CfNTITkdMxiXcjYjGnRqxON2yq2NCy6x2EsUYEZWBCi2IAKBLly7o0qWLzTFc6XgHDx50l0kA3C+GPH1E5usjxJwPdJ20H+XlYt2e7Zi2+Ft8PX4qGsXWMxn7TLNW6N+1F4o1Gvx3Mx2pOzbjxu1bWDh5Bry9KvyPYLmAAYsAeZ71FhkAAuR5TsXz8JnbHtbil4qEIhR4MfijyyA8lOmyM63FsHAJn8yohrzif4yxdkxmDb2YEbAs6l07a70SNMNA6R+AlW/OMgmaFsvz0ODy37zXM4FP01qj54yz7PRetMyoBs6tDSAzqgEOdBnk0OtLEBUV+jRyMSxbdmKIZbWA7A5QJAeEAYCkJhiGRydve/AQW4yAQYPoJ0eL9aNjMeyTcdh/Is1CEAVLggxjm9SNR5FajZ+2bcR/NzPQMMZ0rLtRFRXBV2g/C6ciYqtFRmnjeGzN7atS8ErjNvcw6eoaBUGb/8DkOlcMC1fgs6+iwOEYGEdiefToj8rSoxvxaovBms1bIA7CqVbdntjrgKdGpCww8WKJlIVQivytCqX4K6bCS8sw+C+uOe/1zDmfYNkDkGKMKhosNJR2zwsSRB7AFUdk7KOrYDMOAEVGcQ3CQCC6C5jQeOcXcNLzVDU4BEEBgbj/+JHdsXVr1QEA3H/8yClBJJXnY+iUsXjnleHo3fFZk+fenzsd4SFVMfXNdw1HbvMm/A+rdmzC5fRr6N6uE94dNAIb9+/C4VN/4c79e/Dx9kZ8VAyS+7+KmtUiTOa7nH4NP23biH8zb8BL4IXWjZvi7YHDEBxoWhC0vGCtRYYrMr2sza32EfISRMaxSE9S+TnsMothyYxqyOnRMYghHvE/ehyK5Sm5T+nrDy3D4FBSf+71uOznsMdwlWe9IF9FAYav+hw51aPsesX08/3TujsuNumAzod/MxyZ2TwWtIVWa6iczbUfijEinjZc4E4gHKE0XiETMXR1i6kYAoCifLBXt4B95GTFzlIcwymUSuQXFKB6aFW7Y3Me6URT9aphTq0VFBCI9k1bYO/xIybXM7Pv4GpmOnq272RyffaPi5EY1xCfvT0eXVvrGgk+zHuMFzt3xfT/+wDjhr0BlmUx7uuZkBXIDfddTr+Gj+Z/CbGfP6a8MQZjX30d/93MwPQlpkH75Q19iwyRqhBCtcqlae9cc+tjjGxhHr9kN5W/JIYlOzLGdu8vHv3DjHHo+Khk7mMd+iArIlaXmu5swHNJn7FWJ/dCpOTXvS3hQhq8tVrUyE5HvevnUCM7HQKWRUzGJbQ/uv1JPSIzVCJ/7OkxHKdaPIcC/1IId4HA4deXICoy5CEqS5z8XDKOF2JZrc4zZGt8xgEgpJ5jx2dOiCF95sIjaS5+2LwefiIRXnquB4dBLDQajS6G6FYG1u3ZhtaNmqJ+VKzDa+rp1aEzPl4wB7fuZqF2hK5x357jRxBWJQTN6zc2Gfv8M89hUPcXTK7934ChT/ah1aJ5/cYYNOldpJ05afA6rdyyAfVqR+PT0e8bmgFH16iF5FlT8PfFcxYB5JUVZ+KX+AZoZ0XG8PfocGAczOzU8VHJB//V+s4fOxkTJH2E4as+R+qIT6AUWRFYLAuRshDNT//BOYeWYXCsQx+DfVw2A8DJ1j0gUsgtn7cHy8JHreKV/l+WweIE4W5IEJUBGoUWApVzriGL4GnZHUvPkDlF+bpxQbXtL+CkV0ipUqH3e68bHgsEAkxP/gC1zI6cAGD7kQPYfuSJiKsZXh0fj3rHqXX1JMY3RETVcOw5fgRv9RsCjUaDg38fQ++Oz0JgVgW4TeNEi/uvZFzHz9t/w/XbmcgvePKN/U7OPd3+ilS4lH4Nb/UbbJKhWDO8OsKqhOC/m+kkiIxwNH6Jbyp/aX1bxqnypTk+UvOo/szXHm+tFkmHN9msuJ10+DerR1GOHPspRWLbgdjmlIxNPHsYJ1tzfLkxg28pAsKDsICm2AUxRJXgZJQEkZvRKJwPGOLMJCvi+Y2Pz7hSHJH5+gjx9fgp0LIssu/nYMWWDfhq1VIsnfolQoOCTcZ2at4aA7v1RpFajb8vncf6PduxYO2PmFwKUcQwDHq2T8KWQ3sxqu8rOHHhLKTyfPRo18lirHm8z/3HDzElZS7q1Y7G2CGvIySoCny8vfC/779FUbEaACAvLIBWq8XSjWuwdOMaizkf5D522vanFUfilwyp/HY+o680auucMRx9zUrjzYi4m4nMmCZO329ujzMVt/VZdukxjS2es4q+1QfPoz79+lGZl3G5YRuX9Y0jiIoACSI34qwYsplSL+T5DdfeuFKm7TMCBnF1dO1R6kfFoma16hg7dwZW79yC94e8ZjI2KFBiGNu4bjyUKiW2HtqHl5/tgfrRzh+bdW/3DFbt2IQTF85iz/EjaBrXgDMuiTH7g37q8gUoVCp8Ovp9BPjrWhZoNBoTT1GAnxgMw2Bwjz5o39TyuERCdZE40ccY8RkXIM+DLNB2z0G7Hg6u56z0NXPKm1HywS8ukPL3tPDss+ZIxW2uLDve2LHXW6lAUtoWiAtkJuu7q28cQZRXKKjaTbhFDAGApKYum8wWwkDdOC60rFsqT8fViUHnlu2w9/ifeCzNszl22PMvw1/kh7V7tpVqzZCgYLRpkogN+37HyUvnOb1DXKiKisAAJjWQDp8+AY3RMY7I1xcNouvi1r1sxNWJsfiveqhzAeHEE3xVCgTI8yDQ2vhd4arBY/bYV1locjlALuVMCdcXVuRdcrdkXOz1szje/gVLe6zZZQbDskg8e5jT66OvFWQcNG2Ovm5SgdhMPLpIjBSL/CAukFmsr/diiQukJuOtvb4EUdEhD5GrYd0ohgBdoHR0F12WmbUx0V24A6rdXMzx1d59ceifv7D5jz1446VBVsdJxAHo27kb1u3ZbhIUbY2/LpyBv69pgGedyJqoXT0SvTp0xv++/wYBfv7o2KwlLzsT4xsCAL5OXY7nOz6Lm3ez8NuBXQjwM61p8+bLgzHpu9n4/IeF6NyyLQL8xXiY+xin/72I7u06oWmc8wXvCB3CIiVEajv1kUpEiEghN4kBMj7e4eNlEbDsE68HH0qOm67Gt4TS33ZFawCIuX4O6bEJFk+zDIOziUmolnPLYRFhs26Sg8dhtrB2nOjKvnGEZ2BZFhp1sUvmedohQVQOcLTqNBMaD8S/xFmHiLFWh6gMKlvXqhaBzi3aYseRgxjcow/EfpZF8/T069ITWw/tw4Z9v2PCiNE25/029QeLayP79MervfqiRcMm8BUK0bllWwh5Br5G16iFD0eMxi+/b8ani79FbM3amPrme/j8h4Um4xrF1sO3H36C1B2b8U3qDyguLkbVKlWQGN8IkWHVeK1F2EfL8wO9w9HtEBfIOD+Y+fY1i8m4hITzf+J8U37eRH31aT5k1axruMd8Dmfr9tgNoHaBGAJsHye6om8cQVQEGLYyyL4yRHHrDo536m1xXVCjOgKnfYRgURC8jV7x0rTg4FWp+ilvzHr26mVM+m42Fn48A/VqU02UioZGADxUK7DkeIGhdYc1Xty61CUfzFmRMdjWN7nU8ziD8R64WpEAMLlWIJbgQNchducVaIqfZPdZO2a0ctzHsCzeXP4JvG0dXRIup/OlffCPruX2de7eV2HUR07WpjNi5dx4RIT7usCi8gt5iDxIafuRMYzAdmr9UyyGHuXlIvtBDpZvWodGsfVIDFVgvDRq+BXIANavTDKa7DZp5UCkkNusG8R3Hv3RlLVWJAB0BSCN1uWDXgz5KgvN7i+we9zHMgwuNWoHf4WcjsSeUorVak+bUCEgQeQBPN2Y9WlgZ9ofWLNrK2Jq1sEHQ9/wtDlEKWl++g/cTuhdJhlNJrFE9sRMiRhrd2w79nUfZr3ZKk/8CuVWm8ty9WXjXUeo5FjOu1iN7luXQeEfoPMw+UtwoJt9D9MxfZwSqHkrUXmhLLOypiy+eT3lYggAhr/QD7sW/YxFkz9D7eqRnjaHKCW17lwr04wmaxlUJhiJsbrpF62PdyCO50CXV6z3RLPWN8zMHqswDAoCg8GAReyN8wCAx1Ucz4bUN29Nj27k8L0EUZEhD1EZUpqmrryoBEKIeHop64wm4/Uyoxrgv7jmnFlsejFmPP5OjVicbtnV4aDmQgeO6QyUjPcpUvJqp5EZ1QAHugziV7OIy0NGzVuJSgoJojKiuMDNaojEEPEUUNYZTQKWNcQmhd3PgsJPDD9lgUWRQvMA6Cp5D5xbsBRZYU3OH8Xpll3sjjuf8Ezp7TFq3koZZhUblmWh1ZS+dUdlyL8iQeRm1Pm6H0SBRNeZ2i0/UiSGCCdhwfBqteG+9Uv+x0N/bLmCm/UxNHoxxDXGqaappaRG1g1crd/CZjsNg8fHRen41LyVqExQDJEb0YshAGBz88AWF0Pj5Zo/VADcVnWaqByofP3wOLQ6pMFhyJeEQBochseh1aHy9SszGzReDFi1GtqHeWW2ph5rFaCNY2isjTEEO5eFkGNZBOTnIfJuOjqmbTNcMx8DABAIXCaGAGreSlQuyEPkJozFEACwhUoo9h6BoG93QBQALw2LUv3Z0rIkZwmnKRKKIA8IAsAC7JP6P1oGkAUGIYBhISxSum19FjoxJFcVoHDXYbAK963FBZ8K0GkdXgTLwOYYANyZZ86IEht92dof3Q4By1ptCiuWS6EUiaHx8eG9nK+yACpff2reShAlkCByMayWtRBDehRrtwMAtN07gfH2dv6bXCU4yyXcS4EXA22+9TiYQq0WYqXMfQawAKtWo3DXYRSklq6nnTPwqQBdEGjj+ZIxgGVLEbFcimJvH10avSO/4ywLoUqBIqM6Qvr7j3bsAwY6QcQVfJ4dEYVTrXvwXwu6mKRTrbpR89anHRYoLip9644yPEn3GCSIyhKWhWLNNig37wUTEgxG4Lgg0ihLHxxHVG5ywmvhjy7We83pefbAelS7f9s9RrAstA/zytwzpMeVsTEd0rZDXGjaUiQzqiG/OkfGCARocuEo/mnVTffY6D79MZ6+BIFx8LmWYbCnxzD+Bpd4f1qcPojQx/csvE3m2XUEUVkgQeQBWIUSbNY9h+7RKEgIEa4hVxhut00GAOTmqVD11t0ysKjscWVsjMJPDAasSZkAa0db9riY0EH3DwdS4e9GREMlEoMXZt4fat5KlBU3btzArFmzcObMGYjFYvTt2xcffPABhELbPShZlsXy5cuxZs0aPH78GA0aNMDkyZORmJhoMi4nJwezZs1CWloafHx80K1bN0yePBkBAfx6EQIkiCoEJIYIV8JXDDzNAbV223ewLMRyKVjGRu2gkj5g1qo8c9YtsoNNYWMlFd4Rb5dYLkVHM+8PNW8l3I1UKsXIkSMRFRWFlJQU5OTkYPbs2VAqlfj0009t3rt8+XIsWLAAEyZMQHx8PFavXo1Ro0Zh69atqFVL1wtOrVbjzTffBAB88803UCqVmDNnDj788EMsXbqUt50kiMo5JIYIV8NHDDztAbU223eUeEc6HtXFNtkaw5q9ftaOtiLuZuBq/ZY2X3PzPmTWMBdAvIUry6L9se10FFbpcE0dotIEEa1btw4FBQVYuHAhgoODAQAajQYzZsxAcnIyqlWrxnmfSqXC0qVLMWrUKLz22msAgBYtWqBnz55YsWIFpk+fDgDYs2cPrl27hp07dyImJgYAIJFI8MYbb+D8+fNISEjgZSflKZVTNAoNiSHCLejFAACr6duVIaDWWvsO43Yh1sYw1vqL6YOgO7wIrdFzfF7zJheO8rLbXADpBS6fZIvj7fuY2EUQZcGRI0fQrl07gxgCgF69ekGr1eLoUes/96dPn4ZcLkevXr0M14RCIbp164YjR46YzB8fH28QQwDQoUMHBAcH4/Dhw7ztJA+RixHViMAz/+wu3SRP9+cQUQ7oDGC4txBKkT9YwZPvRYxWC5GyED7vtfCYbWVJZwCvA9B4eYMVCMBotfDSFIPBc1bHaBkBZyNWc/yndoe35kmsVmfYfs29i1tAHhBs8pw5jFaLgHebW5TseMZbCIWtrvY27CI8g6hmRJmsEx4mwvqlLV0yT3Z2NoYPt2xMrOfAgQOc19PT09G/f3+TaxKJBGFhYUhPt35cq3/OWOgAQGxsLH7++WcolUqIRCKkp6dbjGEYBtHR0TbnN4cEkYsR+HjDP6qWp80gCF5IWBbqYi00WhZeAgY+3gIwDFUntoVCVQyVXGV3nE+1MPj5Wv6JtfWae6mKkWdj7iCJH0Rh3O8PU1CEQqXaabuIpxNvLwaR1V1TbPXBA+da1shkMkgkEovrQUFBkEqtN1iWyWQQCoXw9fU1uS6RSMCyLKRSKUQiEWQyGQIDLX8v7M1vDv1WEEQlhmEYCH28PG1GhcLP17tUgsLWay7y9UZ1J+eWiIWQiG1n7BBEaWjatKlVL9DTAMUQEQRBEAThNiQSCfLzLYP/pVIpgoKCOO54cl9RURFUKlOvqUwmA8MwhnslEgnkcsv+gvbmN4cEEUEQBEEQbiMmJsYilic/Px8PHjywiP0xvw8AMjJMM17T09MRGRkJkUhkdX6WZZGRkWFzfnNIEBEEQRAE4TY6deqEY8eOQSZ70g5o9+7dEAgE6NChg9X7mjdvjoCAAOzatctwTa1WY+/evejUqZPJ/P/++y8yMzMN144fP468vDwkJSXxtpNh2ac8t5YgCIIgCI8hlUrx/PPPIzo6GsnJyYbCjH369DEpzDhy5EhkZ2dj3759hmvLli1DSkoKJkyYgLi4OKxduxZpaWkWhRn79esHABg/fjwUCgXmzp2L+Ph4hwozkiAiCIIgCMKt3LhxAzNnzjRp3TFu3DiT1h3Dhw9HVlYWDh48aLjGsiyWLVtm0bqjWbNmJvMbt+7w9vZGt27dMGXKFIdad5AgIgiCIAii0kMxRARBEARBVHpIEBEEQRAEUekhQUQQBEEQRKWHBBFBEARBEJUeEkQEQRAEQVR6SBARBEEQBFHpIUHEkxs3buD1119HYmIiOnTogLlz56KoqMjmPSdOnEB8fDznfz179iwjy7lxZj8AkJubi08//RSdO3dGYmIiXnjhBaxdu7YMLLaPs3vKz8/H//73P7Rp0wZNmzbF8OHDceXKlTKw2D43b97Ep59+ir59+6Jhw4Z44YUXeN2nr93RuXNnJCQkYNCgQTh79qx7jeWJs3tavXo1kpOT0bZtW8THx2P37t1utpQ/zuzp/v37mDt3Lvr27YtmzZqhU6dO+PDDD5GVlVUGFtvH2fdpwoQJ6N69OxITE9GqVSsMHToUaWlpbraWH87uyZiffvoJ8fHxSE5OdoOFhCehbvc8kEqlGDlyJKKiopCSkmKosqlUKk2qbJrTqFEjrF+/3uSaXC7HW2+9ZVJ2vKxxdj8AMHbsWKSnp2P8+PGIiIjAkSNHMH36dHh5eeGVV14pox1YUpo9jR8/HhcvXsTEiRNRtWpV/PTTTxg5ciS2bt2KiIiIMtoBN9euXcPhw4fRtGlTaLVa8C0btnz5cixYsAATJkxAfHw8Vq9ejVGjRplUd/UUzu5p69atAICkpCRs2bLFjRY6jjN7unTpEvbt24f+/fujadOmyM3NxeLFizFw4EDs2LEDISEhZWC5dZx9n9RqNV577TVERUVBpVJh48aNGD16NFatWoWWLVu62WrbOLsnPQ8ePMCiRYsQGhrqJgsJj8ISdlmyZAmbmJjI5ubmGq6tW7eObdCgAXvv3j2H5vrtt9/YuLg49ty5cy62kj/O7uf+/ftsXFwc+9tvv5lcHzp0KDtixAh3mcsLZ/d05swZNi4ujj1w4IDhWmFhIduuXTt25syZ7jSZFxqNxvDvSZMmsc8//7zde5RKJdu8eXP2m2++MVxTqVTss88+y06bNs0dZjqEM3syvu/27dtsXFwcu2vXLrfY5wzO7EkqlbJqtdrk2t27d9n4+Hh2xYoVLrfRUZx9n8wpLi5mk5KS2KlTp7rKNKcp7Z4mTpzIfvTRR+ywYcPY0aNHu9o8wsPQkRkPjhw5gnbt2iE4ONhwrVevXtBqtTh69KhDc+3YsQNRUVFISEhwsZX8cXY/xcXFAIDAwECT6wEBAQ5/03I1zu7p8uXLYBjGpMGgn58fWrZsiT/++MOdJvNCIHD8V/T06dOQy+Xo1auX4ZpQKES3bt1w5MgRV5rnFM7sqTT3lQXO2CaRSODtbeqkr169OkJCQnD//n1XmeY0rnq9vby8EBgYCLVa7ZL5SkNp9nTq1Cns378fH374oQstIsoT5fcvTDkiPT0dMTExJtckEgnCwsKQnp7Oe56HDx/ir7/+curc2pU4u5+IiAh07NgRS5YswfXr1yGXy7Fz504cPXoUQ4cOdbfZNnF2T0VFRRAIBPDy8jK57uPjg6ysLCiVSrfY6070+zV/PWJjY5GdnV0h91RZyMjIwKNHjxAbG+tpU0oFy7IoLi5Gbm4uVqxYgZs3b2LQoEGeNstpNBoNZs6cif/7v/9DeHi4p80h3ATFEPFAJpNBIpFYXA8KCoJUKuU9z86dO6HRaDwuiEqzn5SUFIwbNw7PP/88AN23v6lTp6JHjx5usZUvzu6pTp060Gg0uHz5ssFrp9VqcfHiRbAsC5lMBpFI5Da73YFMJoNQKISvr6/JdYlEApZlIZVKK9yeKgMsy2LWrFkIDw83/H5VVDZu3IipU6cCAPz9/TFv3jyLZpwViTVr1kChUOC1117ztCmEGyFBVIZs374djRo1QnR0tKdNcQqWZTF58mRkZmbim2++QVhYGI4dO4YvvvgCQUFBFfKPeIcOHVC7dm1MmzYNc+bMQWhoKJYtW4bbt28DABiG8bCFRGUhJSUFf/31F3744Qf4+/t72pxS0aVLF9SvXx+5ubnYvXs3PvjgAyxcuBBJSUmeNs1hHj16hAULFmDOnDkmndmJpw8SRDyQSCTIz8+3uC6VShEUFMRrjlu3buH8+fOYPHmyq81zGGf3c+jQIezevRvbtm1DfHw8AKBNmzZ49OgRZs+e7VFB5OyehEIh5s2bhw8//BB9+vQBAMTFxWHkyJFITU01iUmqKEgkEhQVFUGlUpl4iWQyGRiG4f0zS5QdGzZswKJFi/D555+jXbt2njan1ISEhBiy5Dp16gSpVIqvvvqqQgqi7777DvHx8WjZsiVkMhkAXTxlcXExZDIZ/P39LWLBiIoJvYs8iImJsYhDyc/Px4MHDyziNKyxfft2CAQC9O7d2x0mOoSz+7l+/Tq8vLwQFxdncr1Bgwb49ddfoVAo4Ofn5xab7VGa96hx48bYvXs3bt68CZZlERUVhc8++wyNGjWCj4+PO812C/r9ZmRkoH79+obr6enpiIyMpOOycsa+ffswffp0vP/++xgwYICnzXELjRo1KhcB/c6QkZGBkydPolWrVhbPtWrVCsuXL/doGRXCdZAg4kGnTp2wZMkSkziV3bt3QyAQmGQn2eL3339H69aty0VAnrP7qVGjBjQaDa5evWryQXvp0iWEhoZ6TAwBpX+PGIZBVFQUAODx48fYuXMnJk6c6E6T3Ubz5s0REBCAXbt2Gd4ntVqNvXv30h/ucsaJEycwfvx4DBw4EGPGjPG0OW7jn3/+8Xj9K2eZMmWKwTOk54svvoBIJML48eMN3nKi4kOCiAeDBw9GamoqxowZg+TkZOTk5GDu3LkYPHgwqlWrZhg3cuRIZGdnY9++fSb3X7582VBFuTzg7H46deqEyMhIvP/++xgzZgzCw8ORlpaGzZs347333vPUdgCU7j1avHgx6tSpg9DQUGRkZGDp0qVo3Lgx+vXr54mtmKBQKHD48GEAQFZWFuRyuaFCc+vWrRESEmKxJ19fXyQnJyMlJQUhISGIi4vD2rVrkZeXhzfeeMNje9HjzJ4A4MKFC8jKysLjx48BAOfOnQOgO55p3bp1Ge/CFGf2dOPGDYwZMwZRUVHo27evSSXxkJAQ1K5du8z3YYwzezp06BC2bNmCzp07IyIiAlKpFDt27EBaWhq+/fZbj+1FjzN7atCggcU8EokE/v7+aNOmTdkZT7gdEkQ8CAoKws8//4yZM2dizJgxEIvFGDBgAMaNG2cyTqvVQqPRWNy/fft2CIVCj2di6XF2PwEBAfjpp58wb948fP3118jPz0fNmjXx8ccfY9iwYWW9DRNK8x7JZDLMmTMHjx49Qnh4OF588UW888475aLuzaNHjzB27FiTa/rHq1atQps2bTj39NZbb4FlWaxcuRKPHz9GgwYNsGLFinLxLd3ZPa1evRqbN282PF65ciUA3QdZamqqm622jTN7OnfuHPLz85Gfn48hQ4aY3Pvyyy9j9uzZ7jfcBs7sqVatWigqKsI333yD3NxcVKlSBfHx8UhNTfW4aAWc/9kjKgcM6+mKegRBEARBEB7G81+BCYIgCIIgPAwJIoIgCIIgKj0kiAiCIAiCqPSQICIIgiAIotJDgoggCIIgiEoPCSKCIAiCICo9JIgIgiAIgqj0kCAiCIIgCKLSQ4KIIAiCIIhKDwkigiAIgiAqPSSICIIgCIKo9JAgIgiCIAii0kOCiCAIh/n444/x3HPPWVxPSUlBfHy83ftzc3MxceJENG/eHC1btsSkSZPw77//Ij4+Hps2bXKHyQRBEDbx9rQBBEFULrRaLd5++22cP38eQ4YMQUxMDA4cOIBJkyZ52jSCICoxJIgIgihT9u/fjzNnzmDKlCkYOXIkAGDIkCF4/fXXPWwZQRCVGToyIwiiTPnzzz/h4+ODV155xXBNIBBg6NChHrSKIIjKDnmICIJwC3l5eVCr1YbHIpEIgYGByM7ORlhYGPz8/EzG165du6xNJAiCMECCiCAIh2EYhvO6RqMx/Pu9997D33//bXj88ssvY/bs2W63jSAIwhlIEBEE4TASiQQymczienZ2tuHfkyZNMhkTHh4OAIiMjMSJEyegUChMvES3bt1yo8UEQRC2oRgigiAcpnbt2sjPz8e///5ruHb//n3s27fP8Lhx48Zo37694b+6desCADp27Ai1Wo0NGzYYxmq1WqxevbrsNkAQBGEGeYgIgnCY3r174+uvv8a7776L4cOHQ6lUYu3atYiOjsalS5ds3tu1a1ckJCRgzpw5uHXrFmJiYnDw4EFIpVIA1o/jCIIg3Al5iAiCcJgqVapg4cKF8PPzw1dffYXNmzdj/PjxePbZZ+3e6+XlhaVLl6JXr17YvHkz5s2bh/DwcHz66acAAF9fX3ebTxAEYQHDsizraSMIgiD279+PMWPGYM2aNWjRooWnzSEIopJBHiKCIMocpVJp8lij0SA1NRUBAQFo1KiRh6wiCKIyQzFEBEGUOTNnzoRSqUSzZs1QVFSEvXv34syZMxg/fjxEIpGnzSMIohJCR2YEQZQ527dvx48//oibN29CpVKhTp06GDJkCIYNG+Zp0wiCqKSQICIIgiAIotJDMUQEQRAEQVR6SBARBEEQBFHpIUFEEARBEESlhwQRQRAEQRCVHhJEBEEQBEFUekgQEQRBEARR6SFBRBAEQRBEpYcEEUEQBEEQlZ7/B9Sk14eJHJceAAAAAElFTkSuQmCC",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 2 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"# YOUR CODE HERE\n",
|
|
"from matplotlib import cm\n",
|
|
"\n",
|
|
"x_in = np.c_[xx.ravel(), yy.ravel()]\n",
|
|
"\n",
|
|
"def plot_classification_probability(probas):\n",
|
|
"\n",
|
|
" contour = plt.contourf(xx, yy, np.array([p[1] for p in probas]).reshape(xx.shape), levels=100, cmap=\"coolwarm\")\n",
|
|
" plt.xlabel(\"u-g\")\n",
|
|
" plt.ylabel(\"g-r\")\n",
|
|
" \n",
|
|
" background = df[df[\"target\"] == 0]\n",
|
|
" plt.scatter(background[\"u-g\"], background[\"g-r\"], label=\"Background\")\n",
|
|
" \n",
|
|
" rrlyrae = df[df[\"target\"] == 1]\n",
|
|
" plt.scatter(rrlyrae[\"u-g\"], rrlyrae[\"g-r\"], label=\"RR Lyrae\")\n",
|
|
" \n",
|
|
" plt.colorbar(contour)\n",
|
|
" \n",
|
|
" plt.ylim(ylim)\n",
|
|
" plt.title(\"Probability of RR Lyrae prediction\")\n",
|
|
" plt.legend()\n",
|
|
" \n",
|
|
"B0 = clf_2d_logistic.intercept_\n",
|
|
"B1 = clf_2d_logistic.coef_[0][0]\n",
|
|
"B2 = clf_2d_logistic.coef_[0][1]\n",
|
|
"\n",
|
|
"# Plot decision boundary\n",
|
|
"c = -B0/B2\n",
|
|
"m = -B1/B2\n",
|
|
"y0=m*xlim[0]+c\n",
|
|
"y1=m*xlim[1]+c\n",
|
|
"plt.plot(list(xlim), [y0, y1], color=\"yellow\", label=\"Decision boundary\")\n",
|
|
"\n",
|
|
"plot_classification_probability(clf_2d_logistic.predict_proba(x_in))\n",
|
|
"plt.show()\n",
|
|
"#raise NotImplementedError()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "9d7c9da1a39851de5856c8e6353c3aa7",
|
|
"grade": false,
|
|
"grade_id": "cell-a39275a441142214",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"*Now train an SVM classifier that can support a non-linear decision boundary on the same problem. Use the variable `clf_2d_svm` for your model.*"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 147,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "e95438410123c8be26e3caeee498b988",
|
|
"grade": true,
|
|
"grade_id": "cell-c15b2b7d9de2fc9c",
|
|
"locked": false,
|
|
"points": 3,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/html": [
|
|
"<style>#sk-container-id-10 {\n",
|
|
" /* Definition of color scheme common for light and dark mode */\n",
|
|
" --sklearn-color-text: #000;\n",
|
|
" --sklearn-color-text-muted: #666;\n",
|
|
" --sklearn-color-line: gray;\n",
|
|
" /* Definition of color scheme for unfitted estimators */\n",
|
|
" --sklearn-color-unfitted-level-0: #fff5e6;\n",
|
|
" --sklearn-color-unfitted-level-1: #f6e4d2;\n",
|
|
" --sklearn-color-unfitted-level-2: #ffe0b3;\n",
|
|
" --sklearn-color-unfitted-level-3: chocolate;\n",
|
|
" /* Definition of color scheme for fitted estimators */\n",
|
|
" --sklearn-color-fitted-level-0: #f0f8ff;\n",
|
|
" --sklearn-color-fitted-level-1: #d4ebff;\n",
|
|
" --sklearn-color-fitted-level-2: #b3dbfd;\n",
|
|
" --sklearn-color-fitted-level-3: cornflowerblue;\n",
|
|
"\n",
|
|
" /* Specific color for light theme */\n",
|
|
" --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
|
|
" --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
|
|
" --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
|
|
" --sklearn-color-icon: #696969;\n",
|
|
"\n",
|
|
" @media (prefers-color-scheme: dark) {\n",
|
|
" /* Redefinition of color scheme for dark theme */\n",
|
|
" --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
|
|
" --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
|
|
" --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
|
|
" --sklearn-color-icon: #878787;\n",
|
|
" }\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 pre {\n",
|
|
" padding: 0;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 input.sk-hidden--visually {\n",
|
|
" border: 0;\n",
|
|
" clip: rect(1px 1px 1px 1px);\n",
|
|
" clip: rect(1px, 1px, 1px, 1px);\n",
|
|
" height: 1px;\n",
|
|
" margin: -1px;\n",
|
|
" overflow: hidden;\n",
|
|
" padding: 0;\n",
|
|
" position: absolute;\n",
|
|
" width: 1px;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 div.sk-dashed-wrapped {\n",
|
|
" border: 1px dashed var(--sklearn-color-line);\n",
|
|
" margin: 0 0.4em 0.5em 0.4em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" padding-bottom: 0.4em;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 div.sk-container {\n",
|
|
" /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
|
|
" but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
|
|
" so we also need the `!important` here to be able to override the\n",
|
|
" default hidden behavior on the sphinx rendered scikit-learn.org.\n",
|
|
" See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
|
|
" display: inline-block !important;\n",
|
|
" position: relative;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 div.sk-text-repr-fallback {\n",
|
|
" display: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"div.sk-parallel-item,\n",
|
|
"div.sk-serial,\n",
|
|
"div.sk-item {\n",
|
|
" /* draw centered vertical line to link estimators */\n",
|
|
" background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
|
|
" background-size: 2px 100%;\n",
|
|
" background-repeat: no-repeat;\n",
|
|
" background-position: center center;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Parallel-specific style estimator block */\n",
|
|
"\n",
|
|
"#sk-container-id-10 div.sk-parallel-item::after {\n",
|
|
" content: \"\";\n",
|
|
" width: 100%;\n",
|
|
" border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
|
|
" flex-grow: 1;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 div.sk-parallel {\n",
|
|
" display: flex;\n",
|
|
" align-items: stretch;\n",
|
|
" justify-content: center;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" position: relative;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 div.sk-parallel-item {\n",
|
|
" display: flex;\n",
|
|
" flex-direction: column;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 div.sk-parallel-item:first-child::after {\n",
|
|
" align-self: flex-end;\n",
|
|
" width: 50%;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 div.sk-parallel-item:last-child::after {\n",
|
|
" align-self: flex-start;\n",
|
|
" width: 50%;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 div.sk-parallel-item:only-child::after {\n",
|
|
" width: 0;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Serial-specific style estimator block */\n",
|
|
"\n",
|
|
"#sk-container-id-10 div.sk-serial {\n",
|
|
" display: flex;\n",
|
|
" flex-direction: column;\n",
|
|
" align-items: center;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" padding-right: 1em;\n",
|
|
" padding-left: 1em;\n",
|
|
"}\n",
|
|
"\n",
|
|
"\n",
|
|
"/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
|
|
"clickable and can be expanded/collapsed.\n",
|
|
"- Pipeline and ColumnTransformer use this feature and define the default style\n",
|
|
"- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
|
|
"*/\n",
|
|
"\n",
|
|
"/* Pipeline and ColumnTransformer style (default) */\n",
|
|
"\n",
|
|
"#sk-container-id-10 div.sk-toggleable {\n",
|
|
" /* Default theme specific background. It is overwritten whether we have a\n",
|
|
" specific estimator or a Pipeline/ColumnTransformer */\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Toggleable label */\n",
|
|
"#sk-container-id-10 label.sk-toggleable__label {\n",
|
|
" cursor: pointer;\n",
|
|
" display: flex;\n",
|
|
" width: 100%;\n",
|
|
" margin-bottom: 0;\n",
|
|
" padding: 0.5em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" text-align: center;\n",
|
|
" align-items: start;\n",
|
|
" justify-content: space-between;\n",
|
|
" gap: 0.5em;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 label.sk-toggleable__label .caption {\n",
|
|
" font-size: 0.6rem;\n",
|
|
" font-weight: lighter;\n",
|
|
" color: var(--sklearn-color-text-muted);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 label.sk-toggleable__label-arrow:before {\n",
|
|
" /* Arrow on the left of the label */\n",
|
|
" content: \"▸\";\n",
|
|
" float: left;\n",
|
|
" margin-right: 0.25em;\n",
|
|
" color: var(--sklearn-color-icon);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 label.sk-toggleable__label-arrow:hover:before {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Toggleable content - dropdown */\n",
|
|
"\n",
|
|
"#sk-container-id-10 div.sk-toggleable__content {\n",
|
|
" max-height: 0;\n",
|
|
" max-width: 0;\n",
|
|
" overflow: hidden;\n",
|
|
" text-align: left;\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 div.sk-toggleable__content.fitted {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 div.sk-toggleable__content pre {\n",
|
|
" margin: 0.2em;\n",
|
|
" border-radius: 0.25em;\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 div.sk-toggleable__content.fitted pre {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
|
|
" /* Expand drop-down */\n",
|
|
" max-height: 200px;\n",
|
|
" max-width: 100%;\n",
|
|
" overflow: auto;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
|
|
" content: \"▾\";\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Pipeline/ColumnTransformer-specific style */\n",
|
|
"\n",
|
|
"#sk-container-id-10 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator-specific style */\n",
|
|
"\n",
|
|
"/* Colorize estimator box */\n",
|
|
"#sk-container-id-10 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 div.sk-label label.sk-toggleable__label,\n",
|
|
"#sk-container-id-10 div.sk-label label {\n",
|
|
" /* The background is the default theme color */\n",
|
|
" color: var(--sklearn-color-text-on-default-background);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover, darken the color of the background */\n",
|
|
"#sk-container-id-10 div.sk-label:hover label.sk-toggleable__label {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Label box, darken color on hover, fitted */\n",
|
|
"#sk-container-id-10 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator label */\n",
|
|
"\n",
|
|
"#sk-container-id-10 div.sk-label label {\n",
|
|
" font-family: monospace;\n",
|
|
" font-weight: bold;\n",
|
|
" display: inline-block;\n",
|
|
" line-height: 1.2em;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 div.sk-label-container {\n",
|
|
" text-align: center;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Estimator-specific */\n",
|
|
"#sk-container-id-10 div.sk-estimator {\n",
|
|
" font-family: monospace;\n",
|
|
" border: 1px dotted var(--sklearn-color-border-box);\n",
|
|
" border-radius: 0.25em;\n",
|
|
" box-sizing: border-box;\n",
|
|
" margin-bottom: 0.5em;\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 div.sk-estimator.fitted {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* on hover */\n",
|
|
"#sk-container-id-10 div.sk-estimator:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 div.sk-estimator.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
|
|
"\n",
|
|
"/* Common style for \"i\" and \"?\" */\n",
|
|
"\n",
|
|
".sk-estimator-doc-link,\n",
|
|
"a:link.sk-estimator-doc-link,\n",
|
|
"a:visited.sk-estimator-doc-link {\n",
|
|
" float: right;\n",
|
|
" font-size: smaller;\n",
|
|
" line-height: 1em;\n",
|
|
" font-family: monospace;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" border-radius: 1em;\n",
|
|
" height: 1em;\n",
|
|
" width: 1em;\n",
|
|
" text-decoration: none !important;\n",
|
|
" margin-left: 0.5em;\n",
|
|
" text-align: center;\n",
|
|
" /* unfitted */\n",
|
|
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-unfitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link.fitted,\n",
|
|
"a:link.sk-estimator-doc-link.fitted,\n",
|
|
"a:visited.sk-estimator-doc-link.fitted {\n",
|
|
" /* fitted */\n",
|
|
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-fitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover */\n",
|
|
"div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
|
|
".sk-estimator-doc-link:hover,\n",
|
|
"div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
|
|
".sk-estimator-doc-link:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
|
|
".sk-estimator-doc-link.fitted:hover,\n",
|
|
"div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
|
|
".sk-estimator-doc-link.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* Span, style for the box shown on hovering the info icon */\n",
|
|
".sk-estimator-doc-link span {\n",
|
|
" display: none;\n",
|
|
" z-index: 9999;\n",
|
|
" position: relative;\n",
|
|
" font-weight: normal;\n",
|
|
" right: .2ex;\n",
|
|
" padding: .5ex;\n",
|
|
" margin: .5ex;\n",
|
|
" width: min-content;\n",
|
|
" min-width: 20ex;\n",
|
|
" max-width: 50ex;\n",
|
|
" color: var(--sklearn-color-text);\n",
|
|
" box-shadow: 2pt 2pt 4pt #999;\n",
|
|
" /* unfitted */\n",
|
|
" background: var(--sklearn-color-unfitted-level-0);\n",
|
|
" border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link.fitted span {\n",
|
|
" /* fitted */\n",
|
|
" background: var(--sklearn-color-fitted-level-0);\n",
|
|
" border: var(--sklearn-color-fitted-level-3);\n",
|
|
"}\n",
|
|
"\n",
|
|
".sk-estimator-doc-link:hover span {\n",
|
|
" display: block;\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* \"?\"-specific style due to the `<a>` HTML tag */\n",
|
|
"\n",
|
|
"#sk-container-id-10 a.estimator_doc_link {\n",
|
|
" float: right;\n",
|
|
" font-size: 1rem;\n",
|
|
" line-height: 1em;\n",
|
|
" font-family: monospace;\n",
|
|
" background-color: var(--sklearn-color-background);\n",
|
|
" border-radius: 1rem;\n",
|
|
" height: 1rem;\n",
|
|
" width: 1rem;\n",
|
|
" text-decoration: none;\n",
|
|
" /* unfitted */\n",
|
|
" color: var(--sklearn-color-unfitted-level-1);\n",
|
|
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 a.estimator_doc_link.fitted {\n",
|
|
" /* fitted */\n",
|
|
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
|
|
" color: var(--sklearn-color-fitted-level-1);\n",
|
|
"}\n",
|
|
"\n",
|
|
"/* On hover */\n",
|
|
"#sk-container-id-10 a.estimator_doc_link:hover {\n",
|
|
" /* unfitted */\n",
|
|
" background-color: var(--sklearn-color-unfitted-level-3);\n",
|
|
" color: var(--sklearn-color-background);\n",
|
|
" text-decoration: none;\n",
|
|
"}\n",
|
|
"\n",
|
|
"#sk-container-id-10 a.estimator_doc_link.fitted:hover {\n",
|
|
" /* fitted */\n",
|
|
" background-color: var(--sklearn-color-fitted-level-3);\n",
|
|
"}\n",
|
|
"</style><div id=\"sk-container-id-10\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>SVC(class_weight='balanced', probability=True)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-10\" type=\"checkbox\" checked><label for=\"sk-estimator-id-10\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>SVC</div></div><div><a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.6/modules/generated/sklearn.svm.SVC.html\">?<span>Documentation for SVC</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></div></label><div class=\"sk-toggleable__content fitted\"><pre>SVC(class_weight='balanced', probability=True)</pre></div> </div></div></div></div>"
|
|
],
|
|
"text/plain": [
|
|
"SVC(class_weight='balanced', probability=True)"
|
|
]
|
|
},
|
|
"execution_count": 147,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"# YOUR CODE HERE\n",
|
|
"from sklearn.svm import SVC\n",
|
|
"\n",
|
|
"clf_2d_svm = SVC(probability=True, class_weight=\"balanced\")\n",
|
|
"clf_2d_svm.fit(X_train_2d, y_train)\n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 149,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"clf_2d_svm defined.\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"check_var_defined('clf_2d_svm')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "fb4bec941b61ff878b444ad7d0845e2e",
|
|
"grade": false,
|
|
"grade_id": "cell-5b337b0e95730f71",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"*Replicate for the SVM your plot above for the 2D logistic regression model. Over the domain specified above plot the decision function score. Overlay on your plot the data instances, highlighting whether a RR Lyrae or background star, and the decision boundary.*"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 150,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "139c53d2625a5b080ec97d77d07c64d4",
|
|
"grade": true,
|
|
"grade_id": "cell-3f1d0097c1a9a231",
|
|
"locked": false,
|
|
"points": 4,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 2 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"# YOUR CODE HERE\n",
|
|
"\n",
|
|
"decision = clf_2d_svm.decision_function(x_in).reshape(xx.shape)\n",
|
|
"plt.contour(xx, yy, decision)\n",
|
|
"\n",
|
|
"plot_classification_probability(clf_2d_svm.predict_proba(x_in))\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "1d44b6983a7391f6baec9783e8f9c3b9",
|
|
"grade": false,
|
|
"grade_id": "cell-9396defb6a2fd540",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"*Compute the precision and recall of your 2D SVM model. Use variables `precision_svm` and `recall_svm` for your results.*"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 161,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "676c64172c9ee6735a3554f3a19e2787",
|
|
"grade": false,
|
|
"grade_id": "cell-4bb00fa2958c34b5",
|
|
"locked": false,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"# YOUR CODE HERE\n",
|
|
"# Make a Pandas dataframe of the test data and predictions\n",
|
|
"df_svm = pd.DataFrame({\n",
|
|
" \"u-g\": [x[0] for x in X_test_2d],\n",
|
|
" \"g-r\": [x[1] for x in X_test_2d],\n",
|
|
" \"target\": pd.Series(y_test)\n",
|
|
"})\n",
|
|
"\n",
|
|
"# Make a prediction from the test data\n",
|
|
"y_pred_svm = clf_2d_svm.predict(X_test_2d)\n",
|
|
"\n",
|
|
"df_svm[\"prediction\"] = y_pred_svm\n",
|
|
"#print(test_df)\n",
|
|
"\n",
|
|
"# Precision = Tp/(Tp+Fp)\n",
|
|
"# Count number of true positives\n",
|
|
"positives = df_svm[df_svm[\"prediction\"] == 1]\n",
|
|
"true_positives = positives[positives[\"target\"] == 1]\n",
|
|
"false_positives = positives[positives[\"target\"] == 0]\n",
|
|
"#print(positives, true_positives, false_positives)\n",
|
|
"\n",
|
|
"Tp = len(true_positives)\n",
|
|
"Fp = len(false_positives)\n",
|
|
"precision_svm = Tp/(Tp+Fp)\n",
|
|
"#print(precision_logistic)\n",
|
|
"\n",
|
|
"# Recall = Tp/(Tp+Fn)\n",
|
|
"negatives = df_svm[df_svm[\"prediction\"] == 0]\n",
|
|
"false_negatives = df_svm[df_svm[\"target\"] == 1]\n",
|
|
"\n",
|
|
"Fn = len(false_negatives)\n",
|
|
"recall_svm = Tp/(Tp+Fn)\n",
|
|
"#print(recall_logistic)\n",
|
|
"\n",
|
|
"#raise NotImplementedError()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 158,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "242d477110906928300aca9370ecae60",
|
|
"grade": true,
|
|
"grade_id": "cell-8a0f183fa2697432",
|
|
"locked": true,
|
|
"points": 2,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"precision_svm defined.\n",
|
|
"precision_svm = 0.132154\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"check_var_defined('precision_svm')\n",
|
|
"print(\"precision_svm = {0:.6f}\".format(precision_svm))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 159,
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "code",
|
|
"checksum": "4b9d01eaa4ee806dc2c07205c2d46660",
|
|
"grade": true,
|
|
"grade_id": "cell-c88d680adad83470",
|
|
"locked": true,
|
|
"points": 2,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"recall_svm defined.\n",
|
|
"recall_svm = 0.500000\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"check_var_defined('recall_svm')\n",
|
|
"print(\"recall_svm = {0:.6f}\".format(recall_svm))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"editable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "991b3f11093789127b5b6fbf01e75552",
|
|
"grade": false,
|
|
"grade_id": "cell-6e323ca87d06c0b4",
|
|
"locked": true,
|
|
"schema_version": 3,
|
|
"solution": false
|
|
}
|
|
},
|
|
"source": [
|
|
"*Comment on the difference in decision boundary between your logistic regression and SVM models and how this impacts the effectiveness of the models.*"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"deletable": false,
|
|
"nbgrader": {
|
|
"cell_type": "markdown",
|
|
"checksum": "3d6cb3a273d55b60497f2ed2047bfc2d",
|
|
"grade": true,
|
|
"grade_id": "cell-5429ab62dc4857e2",
|
|
"locked": false,
|
|
"points": 4,
|
|
"schema_version": 3,
|
|
"solution": true
|
|
}
|
|
},
|
|
"source": [
|
|
"The SVM model has a non-linear boundary which should be a better fit because the data is easier to separate in two dimensions. However judging by the precision and recall metrics it has not actually improved that much..."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "Python 3 (ipykernel)",
|
|
"language": "python",
|
|
"name": "python3"
|
|
},
|
|
"language_info": {
|
|
"codemirror_mode": {
|
|
"name": "ipython",
|
|
"version": 3
|
|
},
|
|
"file_extension": ".py",
|
|
"mimetype": "text/x-python",
|
|
"name": "python",
|
|
"nbconvert_exporter": "python",
|
|
"pygments_lexer": "ipython3",
|
|
"version": "3.11.11"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 4
|
|
}
|