{ "cells": [ { "cell_type": "markdown", "metadata": { "id": "fluF3_oOgkWF" }, "source": [ "##### Copyright 2020 The TensorFlow Authors." ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "cellView": "form", "execution": { "iopub.execute_input": "2024-07-19T06:15:43.486544Z", "iopub.status.busy": "2024-07-19T06:15:43.486279Z", "iopub.status.idle": "2024-07-19T06:15:43.490392Z", "shell.execute_reply": "2024-07-19T06:15:43.489757Z" }, "id": "AJs7HHFmg1M9" }, "outputs": [], "source": [ "#@title Licensed under the Apache License, Version 2.0 (the \"License\");\n", "# you may not use this file except in compliance with the License.\n", "# You may obtain a copy of the License at\n", "#\n", "# https://www.apache.org/licenses/LICENSE-2.0\n", "#\n", "# Unless required by applicable law or agreed to in writing, software\n", "# distributed under the License is distributed on an \"AS IS\" BASIS,\n", "# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n", "# See the License for the specific language governing permissions and\n", "# limitations under the License." ] }, { "cell_type": "markdown", "metadata": { "id": "jYysdyb-CaWM" }, "source": [ "# Simple audio recognition: Recognizing keywords" ] }, { "cell_type": "markdown", "metadata": { "id": "CNbqmZy0gbyE" }, "source": [ "\n", " \n", " \n", " \n", " \n", "
\n", " \n", " \n", " View on TensorFlow.org\n", " \n", " \n", " \n", " Run in Google Colab\n", " \n", " \n", " \n", " View source on GitHub\n", " \n", " Download notebook\n", "
" ] }, { "cell_type": "markdown", "metadata": { "id": "SPfDNFlb66XF" }, "source": [ "This tutorial demonstrates how to preprocess audio files in the WAV format and build and train a basic [automatic speech recognition](https://en.wikipedia.org/wiki/Speech_recognition) (ASR) model for recognizing ten different words. You will use a portion of the [Speech Commands dataset](https://www.tensorflow.org/datasets/catalog/speech_commands) ([Warden, 2018](https://arxiv.org/abs/1804.03209)), which contains short (one-second or less) audio clips of commands, such as \"down\", \"go\", \"left\", \"no\", \"right\", \"stop\", \"up\" and \"yes\".\n", "\n", "Real-world speech and audio recognition [systems](https://ai.googleblog.com/search/label/Speech%20Recognition) are complex. But, like [image classification with the MNIST dataset](../quickstart/beginner.ipynb), this tutorial should give you a basic understanding of the techniques involved." ] }, { "cell_type": "markdown", "metadata": { "id": "Go9C3uLL8Izc" }, "source": [ "## Setup\n", "\n", "Import necessary modules and dependencies. You'll be using `tf.keras.utils.audio_dataset_from_directory` (introduced in TensorFlow 2.10), which helps generate audio classification datasets from directories of `.wav` files. You'll also need [seaborn](https://seaborn.pydata.org) for visualization in this tutorial." ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "execution": { "iopub.execute_input": "2024-07-19T06:15:43.493808Z", "iopub.status.busy": "2024-07-19T06:15:43.493240Z", "iopub.status.idle": "2024-07-19T06:15:44.824994Z", "shell.execute_reply": "2024-07-19T06:15:44.823795Z" }, "id": "hhNW45sjDEDe" }, "outputs": [], "source": [ "!pip install -U -q tensorflow tensorflow_datasets" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "execution": { "iopub.execute_input": "2024-07-19T06:15:44.829686Z", "iopub.status.busy": "2024-07-19T06:15:44.829365Z", "iopub.status.idle": "2024-07-19T06:15:47.907119Z", "shell.execute_reply": "2024-07-19T06:15:47.906411Z" }, "id": "dzLKpmZICaWN" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "2024-07-19 06:15:46.182107: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:485] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n", "2024-07-19 06:15:46.204231: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:8454] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n", "2024-07-19 06:15:46.211040: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1452] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n" ] } ], "source": [ "import os\n", "import pathlib\n", "\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "import seaborn as sns\n", "import tensorflow as tf\n", "\n", "from tensorflow.keras import layers\n", "from tensorflow.keras import models\n", "from IPython import display\n", "\n", "# Set the seed value for experiment reproducibility.\n", "seed = 42\n", "tf.random.set_seed(seed)\n", "np.random.seed(seed)" ] }, { "cell_type": "markdown", "metadata": { "id": "yR0EdgrLCaWR" }, "source": [ "## Import the mini Speech Commands dataset\n", "\n", "To save time with data loading, you will be working with a smaller version of the Speech Commands dataset. The [original dataset](https://www.tensorflow.org/datasets/catalog/speech_commands) consists of over 105,000 audio files in the [WAV (Waveform) audio file format](https://www.aelius.com/njh/wavemetatools/doc/riffmci.pdf) of people saying 35 different words. This data was collected by Google and released under a CC BY license.\n", "\n", "Download and extract the `mini_speech_commands.zip` file containing the smaller Speech Commands datasets with `tf.keras.utils.get_file`:" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "execution": { "iopub.execute_input": "2024-07-19T06:15:47.911237Z", "iopub.status.busy": "2024-07-19T06:15:47.910815Z", "iopub.status.idle": "2024-07-19T06:15:53.175037Z", "shell.execute_reply": "2024-07-19T06:15:53.174313Z" }, "id": "2-rayb7-3Y0I" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Downloading data from http://storage.googleapis.com/download.tensorflow.org/data/mini_speech_commands.zip\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\r", "\u001b[1m 0/182082353\u001b[0m \u001b[37m━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 0s/step" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 4202496/182082353\u001b[0m \u001b[37m━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m2s\u001b[0m 0us/step" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 12574720/182082353\u001b[0m \u001b[32m━\u001b[0m\u001b[37m━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m1s\u001b[0m 0us/step" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 21479424/182082353\u001b[0m \u001b[32m━━\u001b[0m\u001b[37m━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m1s\u001b[0m 0us/step" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 27787264/182082353\u001b[0m \u001b[32m━━━\u001b[0m\u001b[37m━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m1s\u001b[0m 0us/step" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 33103872/182082353\u001b[0m \u001b[32m━━━\u001b[0m\u001b[37m━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m1s\u001b[0m 0us/step" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 39305216/182082353\u001b[0m \u001b[32m━━━━\u001b[0m\u001b[37m━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m1s\u001b[0m 0us/step" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 43679744/182082353\u001b[0m \u001b[32m━━━━\u001b[0m\u001b[37m━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m1s\u001b[0m 0us/step" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 46989312/182082353\u001b[0m \u001b[32m━━━━━\u001b[0m\u001b[37m━━━━━━━━━━━━━━━\u001b[0m \u001b[1m1s\u001b[0m 0us/step" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 50651136/182082353\u001b[0m \u001b[32m━━━━━\u001b[0m\u001b[37m━━━━━━━━━━━━━━━\u001b[0m \u001b[1m1s\u001b[0m 0us/step" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 54018048/182082353\u001b[0m \u001b[32m━━━━━\u001b[0m\u001b[37m━━━━━━━━━━━━━━━\u001b[0m \u001b[1m1s\u001b[0m 0us/step" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 56983552/182082353\u001b[0m \u001b[32m━━━━━━\u001b[0m\u001b[37m━━━━━━━━━━━━━━\u001b[0m \u001b[1m1s\u001b[0m 0us/step" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 58843136/182082353\u001b[0m \u001b[32m━━━━━━\u001b[0m\u001b[37m━━━━━━━━━━━━━━\u001b[0m \u001b[1m1s\u001b[0m 0us/step" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 60653568/182082353\u001b[0m \u001b[32m━━━━━━\u001b[0m\u001b[37m━━━━━━━━━━━━━━\u001b[0m \u001b[1m1s\u001b[0m 0us/step" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 66314240/182082353\u001b[0m \u001b[32m━━━━━━━\u001b[0m\u001b[37m━━━━━━━━━━━━━\u001b[0m \u001b[1m1s\u001b[0m 0us/step" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 71335936/182082353\u001b[0m \u001b[32m━━━━━━━\u001b[0m\u001b[37m━━━━━━━━━━━━━\u001b[0m \u001b[1m1s\u001b[0m 0us/step" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 74817536/182082353\u001b[0m \u001b[32m━━━━━━━━\u001b[0m\u001b[37m━━━━━━━━━━━━\u001b[0m \u001b[1m1s\u001b[0m 0us/step" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 78102528/182082353\u001b[0m \u001b[32m━━━━━━━━\u001b[0m\u001b[37m━━━━━━━━━━━━\u001b[0m \u001b[1m1s\u001b[0m 0us/step" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 81281024/182082353\u001b[0m \u001b[32m━━━━━━━━\u001b[0m\u001b[37m━━━━━━━━━━━━\u001b[0m \u001b[1m1s\u001b[0m 0us/step" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 84443136/182082353\u001b[0m \u001b[32m━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━━━━━\u001b[0m \u001b[1m1s\u001b[0m 0us/step" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 87703552/182082353\u001b[0m \u001b[32m━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━━━━━\u001b[0m \u001b[1m1s\u001b[0m 0us/step" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 90365952/182082353\u001b[0m \u001b[32m━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━━━━━\u001b[0m \u001b[1m1s\u001b[0m 0us/step" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 92643328/182082353\u001b[0m \u001b[32m━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━━━━\u001b[0m \u001b[1m1s\u001b[0m 0us/step" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 96837632/182082353\u001b[0m \u001b[32m━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━━━━\u001b[0m \u001b[1m1s\u001b[0m 0us/step" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m101056512/182082353\u001b[0m \u001b[32m━━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 0us/step" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m107020288/182082353\u001b[0m \u001b[32m━━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 0us/step" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m117956608/182082353\u001b[0m \u001b[32m━━━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 0us/step" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m126115840/182082353\u001b[0m \u001b[32m━━━━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 0us/step" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m144695296/182082353\u001b[0m \u001b[32m━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━━━━━\u001b[0m \u001b[1m0s\u001b[0m 0us/step" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m160710656/182082353\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━━━\u001b[0m \u001b[1m0s\u001b[0m 0us/step" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m176627712/182082353\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 0us/step" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m182082353/182082353\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 0us/step\n" ] } ], "source": [ "DATASET_PATH = 'data/mini_speech_commands'\n", "\n", "data_dir = pathlib.Path(DATASET_PATH)\n", "if not data_dir.exists():\n", " tf.keras.utils.get_file(\n", " 'mini_speech_commands.zip',\n", " origin=\"http://storage.googleapis.com/download.tensorflow.org/data/mini_speech_commands.zip\",\n", " extract=True,\n", " cache_dir='.', cache_subdir='data')" ] }, { "cell_type": "markdown", "metadata": { "id": "BgvFq3uYiS5G" }, "source": [ "The dataset's audio clips are stored in eight folders corresponding to each speech command: `no`, `yes`, `down`, `go`, `left`, `up`, `right`, and `stop`:" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "execution": { "iopub.execute_input": "2024-07-19T06:15:53.179292Z", "iopub.status.busy": "2024-07-19T06:15:53.179003Z", "iopub.status.idle": "2024-07-19T06:15:53.183714Z", "shell.execute_reply": "2024-07-19T06:15:53.183123Z" }, "id": "70IBxSKxA1N9" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Commands: ['yes' 'right' 'up' 'stop' 'left' 'go' 'no' 'down']\n" ] } ], "source": [ "commands = np.array(tf.io.gfile.listdir(str(data_dir)))\n", "commands = commands[(commands != 'README.md') & (commands != '.DS_Store')]\n", "print('Commands:', commands)" ] }, { "cell_type": "markdown", "metadata": { "id": "TZ7GJjDvHqtt" }, "source": [ "Divided into directories this way, you can easily load the data using `keras.utils.audio_dataset_from_directory`. \n", "\n", "The audio clips are 1 second or less at 16kHz. The `output_sequence_length=16000` pads the short ones to exactly 1 second (and would trim longer ones) so that they can be easily batched." ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "execution": { "iopub.execute_input": "2024-07-19T06:15:53.186850Z", "iopub.status.busy": "2024-07-19T06:15:53.186624Z", "iopub.status.idle": "2024-07-19T06:15:56.897881Z", "shell.execute_reply": "2024-07-19T06:15:56.897162Z" }, "id": "mFM4c3aMC8Qv" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Found 8000 files belonging to 8 classes.\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Using 6400 files for training.\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Using 1600 files for validation.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\n", "I0000 00:00:1721369754.149625 159205 cuda_executor.cc:1015] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n", "I0000 00:00:1721369754.153484 159205 cuda_executor.cc:1015] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n", "I0000 00:00:1721369754.157006 159205 cuda_executor.cc:1015] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n", "I0000 00:00:1721369754.160558 159205 cuda_executor.cc:1015] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n", "I0000 00:00:1721369754.171663 159205 cuda_executor.cc:1015] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n", "I0000 00:00:1721369754.175323 159205 cuda_executor.cc:1015] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n", "I0000 00:00:1721369754.178716 159205 cuda_executor.cc:1015] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n", "I0000 00:00:1721369754.182109 159205 cuda_executor.cc:1015] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n", "I0000 00:00:1721369754.185584 159205 cuda_executor.cc:1015] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n", "I0000 00:00:1721369754.189068 159205 cuda_executor.cc:1015] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n", "I0000 00:00:1721369754.192446 159205 cuda_executor.cc:1015] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "I0000 00:00:1721369754.195991 159205 cuda_executor.cc:1015] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n", "I0000 00:00:1721369755.447244 159205 cuda_executor.cc:1015] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n", "I0000 00:00:1721369755.449461 159205 cuda_executor.cc:1015] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n", "I0000 00:00:1721369755.451558 159205 cuda_executor.cc:1015] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n", "I0000 00:00:1721369755.453653 159205 cuda_executor.cc:1015] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n", "I0000 00:00:1721369755.455937 159205 cuda_executor.cc:1015] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n", "I0000 00:00:1721369755.458014 159205 cuda_executor.cc:1015] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n", "I0000 00:00:1721369755.460044 159205 cuda_executor.cc:1015] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n", "I0000 00:00:1721369755.462063 159205 cuda_executor.cc:1015] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n", "I0000 00:00:1721369755.463998 159205 cuda_executor.cc:1015] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n", "I0000 00:00:1721369755.465992 159205 cuda_executor.cc:1015] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n", "I0000 00:00:1721369755.467980 159205 cuda_executor.cc:1015] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n", "I0000 00:00:1721369755.470017 159205 cuda_executor.cc:1015] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n", "I0000 00:00:1721369755.508811 159205 cuda_executor.cc:1015] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n", "I0000 00:00:1721369755.510952 159205 cuda_executor.cc:1015] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n", "I0000 00:00:1721369755.513016 159205 cuda_executor.cc:1015] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n", "I0000 00:00:1721369755.515080 159205 cuda_executor.cc:1015] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n", "I0000 00:00:1721369755.517109 159205 cuda_executor.cc:1015] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n", "I0000 00:00:1721369755.519261 159205 cuda_executor.cc:1015] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n", "I0000 00:00:1721369755.521316 159205 cuda_executor.cc:1015] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n", "I0000 00:00:1721369755.523334 159205 cuda_executor.cc:1015] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n", "I0000 00:00:1721369755.525847 159205 cuda_executor.cc:1015] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n", "I0000 00:00:1721369755.528356 159205 cuda_executor.cc:1015] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n", "I0000 00:00:1721369755.530724 159205 cuda_executor.cc:1015] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n", "I0000 00:00:1721369755.533153 159205 cuda_executor.cc:1015] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "label names: ['down' 'go' 'left' 'no' 'right' 'stop' 'up' 'yes']\n" ] } ], "source": [ "train_ds, val_ds = tf.keras.utils.audio_dataset_from_directory(\n", " directory=data_dir,\n", " batch_size=64,\n", " validation_split=0.2,\n", " seed=0,\n", " output_sequence_length=16000,\n", " subset='both')\n", "\n", "label_names = np.array(train_ds.class_names)\n", "print()\n", "print(\"label names:\", label_names)" ] }, { "cell_type": "markdown", "metadata": { "id": "cestp83qFnU5" }, "source": [ "The dataset now contains batches of audio clips and integer labels. The audio clips have a shape of `(batch, samples, channels)`. " ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "execution": { "iopub.execute_input": "2024-07-19T06:15:56.901654Z", "iopub.status.busy": "2024-07-19T06:15:56.901404Z", "iopub.status.idle": "2024-07-19T06:15:56.907818Z", "shell.execute_reply": "2024-07-19T06:15:56.907210Z" }, "id": "3yU6SQGIFb3H" }, "outputs": [ { "data": { "text/plain": [ "(TensorSpec(shape=(None, 16000, None), dtype=tf.float32, name=None),\n", " TensorSpec(shape=(None,), dtype=tf.int32, name=None))" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "train_ds.element_spec" ] }, { "cell_type": "markdown", "metadata": { "id": "ppG9Dgq2Ex8R" }, "source": [ "This dataset only contains single channel audio, so use the `tf.squeeze` function to drop the extra axis:" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "execution": { "iopub.execute_input": "2024-07-19T06:15:56.911250Z", "iopub.status.busy": "2024-07-19T06:15:56.910814Z", "iopub.status.idle": "2024-07-19T06:15:56.950141Z", "shell.execute_reply": "2024-07-19T06:15:56.949493Z" }, "id": "Xl-tnniUIBlM" }, "outputs": [], "source": [ "def squeeze(audio, labels):\n", " audio = tf.squeeze(audio, axis=-1)\n", " return audio, labels\n", "\n", "train_ds = train_ds.map(squeeze, tf.data.AUTOTUNE)\n", "val_ds = val_ds.map(squeeze, tf.data.AUTOTUNE)" ] }, { "cell_type": "markdown", "metadata": { "id": "DtsCSWZN5ILv" }, "source": [ "The `utils.audio_dataset_from_directory` function only returns up to two splits. It's a good idea to keep a test set separate from your validation set.\n", "Ideally you'd keep it in a separate directory, but in this case you can use `Dataset.shard` to split the validation set into two halves. Note that iterating over **any** shard will load **all** the data, and only keep its fraction. " ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "execution": { "iopub.execute_input": "2024-07-19T06:15:56.953779Z", "iopub.status.busy": "2024-07-19T06:15:56.953232Z", "iopub.status.idle": "2024-07-19T06:15:56.959835Z", "shell.execute_reply": "2024-07-19T06:15:56.959182Z" }, "id": "u5UEGsqM5Gss" }, "outputs": [], "source": [ "test_ds = val_ds.shard(num_shards=2, index=0)\n", "val_ds = val_ds.shard(num_shards=2, index=1)" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "execution": { "iopub.execute_input": "2024-07-19T06:15:56.963312Z", "iopub.status.busy": "2024-07-19T06:15:56.962634Z", "iopub.status.idle": "2024-07-19T06:15:57.015204Z", "shell.execute_reply": "2024-07-19T06:15:57.014373Z" }, "id": "xIeoJcwJH5h9" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(64, 16000)\n", "(64,)\n" ] } ], "source": [ "for example_audio, example_labels in train_ds.take(1): \n", " print(example_audio.shape)\n", " print(example_labels.shape)" ] }, { "cell_type": "markdown", "metadata": { "id": "voxGEwvuh2L7" }, "source": [ "Let's plot a few audio waveforms:" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "execution": { "iopub.execute_input": "2024-07-19T06:15:57.019100Z", "iopub.status.busy": "2024-07-19T06:15:57.018622Z", "iopub.status.idle": "2024-07-19T06:15:57.023913Z", "shell.execute_reply": "2024-07-19T06:15:57.023160Z" }, "id": "dYtGq2zYNHuT" }, "outputs": [ { "data": { "text/plain": [ "array(['go', 'go', 'no', 'down'], dtype='" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(16, 10))\n", "rows = 3\n", "cols = 3\n", "n = rows * cols\n", "for i in range(n):\n", " plt.subplot(rows, cols, i+1)\n", " audio_signal = example_audio[i]\n", " plt.plot(audio_signal)\n", " plt.title(label_names[example_labels[i]])\n", " plt.yticks(np.arange(-1.2, 1.2, 0.2))\n", " plt.ylim([-1.1, 1.1])" ] }, { "cell_type": "markdown", "metadata": { "id": "EWXPphxm0B4m" }, "source": [ "## Convert waveforms to spectrograms\n", "\n", "The waveforms in the dataset are represented in the time domain. Next, you'll transform the waveforms from the time-domain signals into the time-frequency-domain signals by computing the [short-time Fourier transform (STFT)](https://en.wikipedia.org/wiki/Short-time_Fourier_transform) to convert the waveforms to as [spectrograms](https://en.wikipedia.org/wiki/Spectrogram), which show frequency changes over time and can be represented as 2D images. You will feed the spectrogram images into your neural network to train the model.\n", "\n", "A Fourier transform (`tf.signal.fft`) converts a signal to its component frequencies, but loses all time information. In comparison, STFT (`tf.signal.stft`) splits the signal into windows of time and runs a Fourier transform on each window, preserving some time information, and returning a 2D tensor that you can run standard convolutions on.\n", "\n", "Create a utility function for converting waveforms to spectrograms:\n", "\n", "- The waveforms need to be of the same length, so that when you convert them to spectrograms, the results have similar dimensions. This can be done by simply zero-padding the audio clips that are shorter than one second (using `tf.zeros`).\n", "- When calling `tf.signal.stft`, choose the `frame_length` and `frame_step` parameters such that the generated spectrogram \"image\" is almost square. For more information on the STFT parameters choice, refer to [this Coursera video](https://www.coursera.org/lecture/audio-signal-processing/stft-2-tjEQe) on audio signal processing and STFT.\n", "- The STFT produces an array of complex numbers representing magnitude and phase. However, in this tutorial you'll only use the magnitude, which you can derive by applying `tf.abs` on the output of `tf.signal.stft`." ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "execution": { "iopub.execute_input": "2024-07-19T06:15:58.333601Z", "iopub.status.busy": "2024-07-19T06:15:58.333073Z", "iopub.status.idle": "2024-07-19T06:15:58.337606Z", "shell.execute_reply": "2024-07-19T06:15:58.336791Z" }, "id": "_4CK75DHz_OR" }, "outputs": [], "source": [ "def get_spectrogram(waveform):\n", " # Convert the waveform to a spectrogram via a STFT.\n", " spectrogram = tf.signal.stft(\n", " waveform, frame_length=255, frame_step=128)\n", " # Obtain the magnitude of the STFT.\n", " spectrogram = tf.abs(spectrogram)\n", " # Add a `channels` dimension, so that the spectrogram can be used\n", " # as image-like input data with convolution layers (which expect\n", " # shape (`batch_size`, `height`, `width`, `channels`).\n", " spectrogram = spectrogram[..., tf.newaxis]\n", " return spectrogram" ] }, { "cell_type": "markdown", "metadata": { "id": "5rdPiPYJphs2" }, "source": [ "Next, start exploring the data. Print the shapes of one example's tensorized waveform and the corresponding spectrogram, and play the original audio:" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "execution": { "iopub.execute_input": "2024-07-19T06:15:58.341366Z", "iopub.status.busy": "2024-07-19T06:15:58.340827Z", "iopub.status.idle": "2024-07-19T06:15:58.583060Z", "shell.execute_reply": "2024-07-19T06:15:58.582246Z" }, "id": "4Mu6Y7Yz3C-V" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Label: go\n", "Waveform shape: (16000,)\n", "Spectrogram shape: (124, 129, 1)\n", "Audio playback\n" ] }, { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Label: no\n", "Waveform shape: (16000,)\n", "Spectrogram shape: (124, 129, 1)\n", "Audio playback\n" ] }, { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Label: left\n", "Waveform shape: (16000,)\n", "Spectrogram shape: (124, 129, 1)\n", "Audio playback\n" ] }, { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "for i in range(3):\n", " label = label_names[example_labels[i]]\n", " waveform = example_audio[i]\n", " spectrogram = get_spectrogram(waveform)\n", "\n", " print('Label:', label)\n", " print('Waveform shape:', waveform.shape)\n", " print('Spectrogram shape:', spectrogram.shape)\n", " print('Audio playback')\n", " display.display(display.Audio(waveform, rate=16000))" ] }, { "cell_type": "markdown", "metadata": { "id": "xnSuqyxJ1isF" }, "source": [ "Now, define a function for displaying a spectrogram:" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "execution": { "iopub.execute_input": "2024-07-19T06:15:58.587116Z", "iopub.status.busy": "2024-07-19T06:15:58.586411Z", "iopub.status.idle": "2024-07-19T06:15:58.591603Z", "shell.execute_reply": "2024-07-19T06:15:58.590882Z" }, "id": "e62jzb36-Jog" }, "outputs": [], "source": [ "def plot_spectrogram(spectrogram, ax):\n", " if len(spectrogram.shape) > 2:\n", " assert len(spectrogram.shape) == 3\n", " spectrogram = np.squeeze(spectrogram, axis=-1)\n", " # Convert the frequencies to log scale and transpose, so that the time is\n", " # represented on the x-axis (columns).\n", " # Add an epsilon to avoid taking a log of zero.\n", " log_spec = np.log(spectrogram.T + np.finfo(float).eps)\n", " height = log_spec.shape[0]\n", " width = log_spec.shape[1]\n", " X = np.linspace(0, np.size(spectrogram), num=width, dtype=int)\n", " Y = range(height)\n", " ax.pcolormesh(X, Y, log_spec)" ] }, { "cell_type": "markdown", "metadata": { "id": "baa5c91e8603" }, "source": [ "Plot the example's waveform over time and the corresponding spectrogram (frequencies over time):" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "execution": { "iopub.execute_input": "2024-07-19T06:15:58.595109Z", "iopub.status.busy": "2024-07-19T06:15:58.594655Z", "iopub.status.idle": "2024-07-19T06:15:58.877053Z", "shell.execute_reply": "2024-07-19T06:15:58.876396Z" }, "id": "d2_CikgY1tjv" }, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAA/cAAALjCAYAAABXtvX2AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/TGe4hAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOzdeXgURf4G8LdnJjO5E3ITSAj3LSA3Ih5ELlddxRX8gQKyoKuoCLqK7gqeoLLKLiKIu+qqoOiKFyKKCKLIJcgpIDcRSEIIuZM56/dHyJBJpqsnyUwmk7yf54ky3dXdNdNz9Ler6luKEEKAiIiIiIiIiAKWzt8VICIiIiIiIqK6YXBPREREREREFOAY3BMREREREREFOAb3RERERERERAGOwT0RERERERFRgGNwT0RERERERBTgGNwTERERERERBTgG90REREREREQBjsE9ERERERERUYBjcE9ERNQEZGVl4dZbb0VsbCwURcGCBQv8XSUiIiLyIgb3REREDdTbb78NRVHw888/13lfDz30EL7++mvMmjUL7777LkaMGIHVq1djzpw5da8oERER+R2DeyIioibgu+++w0033YSHH34Y48ePR6dOnbB69Wo89dRT/q4aEREReQGDeyIioiYgOzsb0dHR/q4GERER+QiDeyIiogB2+vRp3HXXXUhMTITJZELXrl3x5ptvOtdXdO0XQmDRokVQFAWKomDixIlYtGgRADiXKYrir6dBREREdWTwdwWIiIiodrKysjBgwAAoioJp06YhPj4eX331FSZPnoyCggJMnz4dQ4YMwbvvvos77rgD1113He68804AQNu2bXHmzBmsXbsW7777rp+fCREREdUVg3siIqIA9cQTT8But2Pv3r2IjY0FANxzzz24/fbbMWfOHNx9991o06YN2rRpgzvuuAMdOnTA+PHjndt36NABa9eudVlGREREgYnd8omIiAKQEAIff/wxbrjhBgghkJOT4/wbPnw48vPzsXPnTn9Xk4iIiOoJW+6JiIgC0Llz55CXl4elS5di6dKlbstkZ2fXc62IiIjIXxjcExERBSCHwwEAGD9+PCZMmOC2zGWXXVafVSIiIiI/YnBPREQUgOLj4xEREQG73Y709PRa7YPZ8YmIiBoPjrknIiIKQHq9HqNHj8bHH3+Mffv2VVt/7tw5zX2EhYUBAPLy8rxdPSIiIqpnbLknIiJq4N58802sWbOm2vI5c+Zg/fr16N+/P6ZMmYIuXbogNzcXO3fuxLfffovc3Fzpfnv37g0AeOCBBzB8+HDo9XqMHTvWJ8+BiIiIfEsRQgh/V4KIiIiqe/vttzFp0iTV9RkZGTAajXj66afx+eefIzMzE7GxsejatSvGjBmDKVOmOMsqioL77rsPr776qnOZ3W7HQw89hA8++AA5OTkQQoCXBURERIGJwT0RERERERFRgOOYeyIiIiIiIqIAx+CeiIiIiIiIKMAxuCciIiIiIiIKcAzuiYiIiIiIiAIcg3siIiIiIiKiAMfgnoiIiIiIiCjAMbgnIiIiIiIiCnAM7omIiIiIiIgCHIN7IiIiIiIiogDH4J6IiIiIiIgowDG4JyIiIiIiIgpwDO6JiIiIiIiIAhyDeyIiIiIiIqIAx+CeiIiIiIiIKMAxuCciIiIiIiIKcAzuiYiIiIiIiAIcg3siIiIiIiKiAMfgnoiIiIiIiCjAMbgnIiIiIiIiCnAM7omIiIiIiIgCHIN7IiIiIiIiogDH4J6IiIiIiIgowDG4JyIiIiIiIgpwDO6JiIiIiIiIAhyDeyIiIiIiIqIAx+CeiIiIiIiIKMAxuCciIiIiIiIKcAzuiYiIiIiIiAIcg3siIiIiIiKiAMfgnoiIiIiIiCjAMbgnIiIiIiIiCnAM7omIiIiIiIgCHIN7IiIiIiIiogDH4J6IiIiIiIgowDG4JyIiIiIiIgpwDO6JiIiIiIiIAhyDeyIiIiIiIqIAx+CeiIiIiIiIKMAxuCciIiIiIiIKcAzuiYiIiIiIiAIcg3siIiIiIiKiAMfgnoiIiIiIiCjAMbgnIiIiIiIiCnAM7omIiEjTu+++i06dOiEoKAjR0dH+rg4RERFVweCeiIionnz44YdQFAWffPJJtXU9evSAoihYv359tXWpqakYNGhQfVTRrYMHD2LixIlo27Yt3njjDSxdutRvdSEiIiL3GNwTERHVk8GDBwMAfvzxR5flBQUF2LdvHwwGAzZt2uSyLiMjAxkZGc5t/WHDhg1wOBz45z//iYkTJ+K2227zW12IiIjIPQb3RERE9SQ5ORmtW7euFtxv3rwZQgj86U9/qrau4rE/g/vs7GwA8Gp3/JKSEq/ti4iIiBjcExER1avBgwfjl19+QWlpqXPZpk2b0LVrV4wcORJbtmyBw+FwWacoCq644gq89dZbuPbaa5GQkACTyYQuXbpg8eLFLvv/wx/+gDZt2rg99sCBA9GnTx+XZe+99x569+6NkJAQxMTEYOzYscjIyHCuT0tLw+zZswEA8fHxUBQFc+bMca5/7bXX0LVrV5hMJiQnJ+O+++5DXl6eyzGuvvpqdOvWDTt27MCQIUMQGhqKxx9/HCdOnICiKJg/fz4WLVqENm3aIDQ0FMOGDUNGRgaEEHjmmWfQsmVLhISE4KabbkJubm6NXm8iIqKmgsE9ERFRPRo8eDCsViu2bt3qXLZp0yYMGjQIgwYNQn5+Pvbt2+eyrlOnToiNjcXixYvRqlUrPP744/jHP/6BlJQU3HvvvVi0aJGz/JgxY3D8+HFs377d5bgnT57Eli1bMHbsWOey5557DnfeeSfat2+Pl19+GdOnT8e6deswZMgQZ4C+YMEC3HzzzQCAxYsX491338Utt9wCAJgzZw7uu+8+JCcn4x//+AdGjx6N119/HcOGDYPVanU5/vnz5zFy5Ej07NkTCxYswDXXXONct2zZMrz22mu4//77MXPmTHz//fe47bbb8Le//Q1r1qzBo48+iqlTp+KLL77Aww8/XMczQERE1EgJIiIiqjf79+8XAMQzzzwjhBDCarWKsLAw8d///lcIIURiYqJYtGiREEKIgoICodfrxZQpU4QQQpSUlFTb3/Dhw0WbNm2cj/Pz84XJZBIzZ850Kffiiy8KRVHEyZMnhRBCnDhxQuj1evHcc8+5lNu7d68wGAwuy2fPni0AiHPnzjmXZWdnC6PRKIYNGybsdrtz+auvvioAiDfffNO57KqrrhIAxJIlS1yOdfz4cQFAxMfHi7y8POfyWbNmCQCiR48ewmq1Opfffvvtwmg0irKysuovLBERURPHlnsiIqJ61LlzZ8TGxjrH0u/evRvFxcXObPiDBg1yJtXbvHkz7Ha7c7x9SEiIcz/5+fnIycnBVVddhWPHjiE/Px8AEBkZiZEjR+LDDz+EEMJZfsWKFRgwYABSU1MBACtXroTD4cBtt92GnJwc519SUhLat2/vNmt/Zd9++y0sFgumT58One7S5cSUKVMQGRmJL7/80qW8yWTCpEmT3O7rT3/6E6KiopyP+/fvDwAYP348DAaDy3KLxYLTp09L60ZERNQUMbgnIiKqR4qiYNCgQc6x9Zs2bUJCQgLatWsHwDW4r/h/RXC/adMmpKenIywsDNHR0YiPj8fjjz8OAM7gHijvmp+RkYHNmzcDAI4ePYodO3ZgzJgxzjKHDx+GEALt27dHfHy8y9+BAwecSfTUnDx5EgDQsWNHl+VGoxFt2rRxrq/QokULGI1Gt/uquOFQoSLQT0lJcbv8woUL0roRERE1RQbtIkRERORNgwcPxhdffIG9e/c6x9tXGDRoEB555BGcPn0aP/74I5KTk9GmTRscPXoUQ4cORadOnfDyyy8jJSUFRqMRq1evxiuvvOKShO+GG25AaGgoPvzwQwwaNAgffvghdDod/vSnPznLOBwOKIqCr776Cnq9vlodw8PDvfqcK/c6qMrd8WXLK/dIICIionIM7omIiOpZ5fnuN23ahOnTpzvX9e7dGyaTCRs2bMDWrVsxatQoAMAXX3wBs9mMzz//3KWl2133+bCwMPzhD3/ARx99hJdffhkrVqzAlVdeieTkZGeZtm3bQgiB1q1bo0OHDjV+Dq1atQIAHDp0yCU7v8ViwfHjx5Genl7jfRIREVHtsVs+ERFRPevTpw+Cg4OxbNkynD592qXl3mQy4fLLL8eiRYtQXFzsvBFQ0YpdudU6Pz8fb731lttjjBkzBmfOnMG///1v7N6926VLPgDccsst0Ov1eOqpp6q1hAshcP78eelzSE9Ph9FoxL/+9S+X7f/zn/8gPz8f119/vQevBBEREXkLW+6JiIjqmdFoRN++ffHDDz/AZDKhd+/eLusHDRqEf/zjHwAutfIPGzYMRqMRN9xwA+6++24UFRXhjTfeQEJCAs6ePVvtGKNGjUJERAQefvhh6PV6jB492mV927Zt8eyzz2LWrFk4ceIE/vjHPyIiIgLHjx/HJ598gqlTp0qnnYuPj8esWbPw1FNPYcSIEbjxxhtx6NAhvPbaa+jbty/Gjx9f15eJiIiIaoAt90RERH5QEbRXdMOv7IorrgAAREREoEePHgDKE9f973//g6IoePjhh7FkyRJMnToVDz74oNv9BwcH48Ybb0RhYSGuueYaJCQkVCvz2GOP4eOPP4ZOp8NTTz2Fhx9+GJ9//jmGDRuGG2+8UfM5zJkzB6+++ipOnTqFhx56CB9++CGmTp2Kb775BkFBQTV6PYiIiKhuFMGsNEREREREREQBjS33RERERERERAGOwT0RERERERFRgGNwT0RERERERBTgGNwTERERERERBTgG90REREREREQBrl7muV+0aBFeeuklZGZmokePHli4cCH69evntuzKlSvx/PPP48iRI7BarWjfvj1mzpyJO+64w6NjORwOnDlzBhEREVAUxZtPg4iIiIiIiKgaIQQKCwuRnJwMnc4/beg+D+5XrFiBGTNmYMmSJejfvz8WLFiA4cOH49ChQ27n3I2JicETTzyBTp06wWg0YtWqVZg0aRISEhIwfPhwzeOdOXMGKSkpvngqRERERERERKoyMjLQsmVLvxzb5/Pc9+/fH3379sWrr74KoLxlPSUlBffffz8ee+wxj/Zx+eWX4/rrr8czzzyjWTY/Px/R0dHIyMhAZGRknepOREREREREpKWgoAApKSnIy8tDVFSUX+rg05Z7i8WCHTt2YNasWc5lOp0O6enp2Lx5s+b2Qgh89913OHToEF544QW3ZcxmM8xms/NxYWEhACAyMpLBPREREREREdUbfw4N9+lggJycHNjtdiQmJrosT0xMRGZmpup2+fn5CA8Ph9FoxPXXX4+FCxfiuuuuc1t27ty5iIqKcv6xSz4RERERERE1NQ0yW35ERAR27dqF7du347nnnsOMGTOwYcMGt2VnzZqF/Px8519GRkb9VpaIiIiIiIjIz3zaLT8uLg56vR5ZWVkuy7OyspCUlKS6nU6nQ7t27QAAPXv2xIEDBzB37lxcffXV1cqaTCaYTCav1puIiIiIiIgokPi05d5oNKJ3795Yt26dc5nD4cC6deswcOBAj/fjcDhcxtUTERERERER0SU+nwpvxowZmDBhAvr06YN+/fphwYIFKC4uxqRJkwAAd955J1q0aIG5c+cCKB9D36dPH7Rt2xZmsxmrV6/Gu+++i8WLF/u6qkREREREREQByefB/ZgxY3Du3Dk8+eSTyMzMRM+ePbFmzRpnkr1Tp05Bp7vUgaC4uBj33nsvfv/9d4SEhKBTp0547733MGbMGF9XlYiIiIiIiCgg+Xye+/pWUFCAqKgo5Ofncyo8IiIiIiIi8rmGEIc2yGz5REREREREROQ5BvdEREQBpJF1uCMiIiIvYXBPREQUIL7ccxY9n16LTUdy/F0VIiIiamAY3BMREQWI+5bvRH6pFeP/s9XfVSEiIqIGhsE9ERERERERUYBjcE9ERBRgFH9XgIiIiBocBvdEREQBRlEY3hMREZErBvdEREREREREAY7BPRERUT2z2R11mtKO7fZERERUFYN7IiKielRstmHA3HWY+u6OWu+DvfKJiIioKgb3RERE9ejbA1nIKbJg7a9Z/q4KERERNSIM7omIiAKMwo75REREVAWDeyIiokDD2J6IiIiqYHBPRETkYwfOFuCql9bjs12n/V0VIiIiaqQY3BMREfnYgx/8gpPnS/DgB7u8sr+6NNzbHbXP0k9EREQNF4N7IiIiHyuzOry6v9pmy88pMqP3s2vxt0/3erU+RERE5H8M7omIiHzMk2B83+l8jPv3Fuz5Pc9n9Xhn80nklVjx3pZTPjsGERER+QeDeyIiIi+7UGxBTpG5RtvcvnQLNh05j1sXb9YsW9ts+czDR0RE1HgZ/F0BIiKixsTuEOj1zFoAwMFnRiA4SO9RUF1otgEALHbtLvy17ZZf2+2IiIio4WPLPRERkReZbXbnv88VlrfeK4yqiYiIyMcY3BMREXlRbbvM1+wYtd2u9nUTgln2iYiIGjIG90RERF5UuZG+Ih72drhf254A7jZbsy8T97//C4ovDgtw54lP9uKa+RukZYiIiMi/6iW4X7RoEdLS0hAcHIz+/ftj27ZtqmXfeOMNXHnllWjWrBmaNWuG9PR0aXkiIqKGSsBH0b0bhWVW3PzaJryx8ViNtrvnvR34YvcZvLbhiGqZZVtP4cT5Enzyy+m6VpOIiIh8xOfB/YoVKzBjxgzMnj0bO3fuRI8ePTB8+HBkZ2e7Lb9hwwbcfvvtWL9+PTZv3oyUlBQMGzYMp0/zgoKIiAKLsye7l3u0u7tX8NamE/jlVB6eW31AdTtdlQ2tlZL3VeQHkBFCqHbPdziES74BIiIiql8+D+5ffvllTJkyBZMmTUKXLl2wZMkShIaG4s0333RbftmyZbj33nvRs2dPdOrUCf/+97/hcDiwbt06X1eViIjIq3wU27uN7sus2oF15e78s1buQdcnv5aWf2bVr7htyaWp+X45lYe+z32L/+34vVrZW5f8hMvmfIMidt0nIiLyC58G9xaLBTt27EB6evqlA+p0SE9Px+bN2vP4AkBJSQmsVitiYmLcrjebzSgoKHD5IyIiqk8Wm/vp67yZhM7hkO+r8nj6rcfOu7TKu/P+tgzNaff+8+NxbDuR63y88pfTyCmy4OGPduPtTceRkVviXLfzVB7MNgc2Hz0v3ScRERH5hk+D+5ycHNjtdiQmJrosT0xMRGZmpkf7ePTRR5GcnOxyg6CyuXPnIioqyvmXkpJS53oTERF5aunGo+jy5BpsPVYe1FaO550t95Ig32Z34M435bllCsqsGDTvO+djd93yK2fCH7N0C1746iA+/eU0Jr21DWv2ZSK32CI9Rn6pFc+s+hV7fs/Dj4dzkF1YJi0/54tfMXzBxmrL7Ro3IYiIiMg3DP6ugMy8efPwwQcfYMOGDQgODnZbZtasWZgxY4bzcUFBAQN8IiKqN8+vPggAmL5iFzbPGuqyzpOG+/WHzmHjb+ekZVbu+B2ZBZeC7YIyGz7Ydgpj+6WqbvPvH4+7HAMAxvZV/338en8WgPLWegAwGrTv/5dYqg8FcHDKPCIiIr/wact9XFwc9Ho9srKyXJZnZWUhKSlJuu38+fMxb948fPPNN7jssstUy5lMJkRGRrr8ERER1beisvKx5sJlhL2o9F/33HXp//Fwjstjd9s/tnKvy+Oq09wZ9dV/4j/YniGpiXa9PMHgnoiIyD98GtwbjUb07t3bJRleRXK8gQMHqm734osv4plnnsGaNWvQp08fX1aRiIjIOzyc7s6ThHPj/7MVAPDT0RwcO1ekWs7hEPjw5wwcziqsdniDvh7m33NXJ8b2REREfuHzbvkzZszAhAkT0KdPH/Tr1w8LFixAcXExJk2aBAC488470aJFC8ydOxcA8MILL+DJJ5/E8uXLkZaW5hybHx4ejvDwcF9Xl4iIqE7cNVxXXvbEJ/uc/5aNT99xMhf/90Z5kD/7hi5uy3y2+zT++r89AIAHhrZ3WRek1wHg1HRERERNhc+D+zFjxuDcuXN48sknkZmZiZ49e2LNmjXOJHunTp2CTnepA8HixYthsVhw6623uuxn9uzZmDNnjq+rS0REVGv5JVZYHdW7swuVjvnX/+sHTLu2ndt1oxdrzyqzOyPf+e+q7fTFnJKOiIioSamXhHrTpk3DtGnT3K7bsGGDy+MTJ074vkJEREReVmS2ocfT37hdpzYM/WBmoUdj29W2r5yFv+qYe5uf+sd7c/o/IiIi8pxPx9wTERE1FbWNaYvdZJz31H83n6z1tkRERNS4MLgnIiLyMWng76WWbsXTjH5ERETUKDXoee6JiIjIM1W75dcXh0PAzq74REREfsfgnoiIyI+8FRb7q93+pkWbkHGhxE9HJyIiogoM7omIiPzIk0ZvT24A+Kvlfu/pfO1CRERE5HMcc09ERORjsgzy3sour/gruq9HZVY77nxzG97adNzfVSEiImpwGNwTERH5mDSfXr3Von7Ipu37839/xqyVe2u97w9/zsDG387hqS9+rfU+iIiIGisG90RERD4ma5xvKrnoDmUV4tsDWXh/2ynVMvklVtjsDtX1Fpv6OiIioqaOwT0REVED50nX/YbeK99mlz+Ho+eK0OPpb/DAB784l324PQNjXt+MvBILAECva+BPkoiIyI8Y3BMREdWCEAKr9pzRLHcipxhZhWXq+/FSfQJpnnt3NyuWby1v0V+9N9O57K8f78HW47lY8O3hi9tV39fCdYfxwPu/wOFoIl0giIiIVDC4JyIiqoXvfzuHact/kZbJLbbi6vkbNLrleyuhnld2U2cCAsfOFeHxT/YiI9f9FHlCAA6HQHalmx6y6l+42HLvzj/W/obPd5/Bzycv1LbKREREjQKDeyIiolrY58EUcMdziuqhJuUaSGwPABi7dAuWbz2FSW9vd7veIQTuXbYT/Z5bhx8P5wAAdJIu9zYPWuVtDo7HJyKipo3BPRER1bsSi82r+zubX4qbFm3CJ7/87tX91tXOk3n+rkK9EwLILjQDAI5kl9/ccDgEpi3f6Syz5Vgu1uwv737/xg/HANSu50HlXg9Bel7SEBFR08ZfQiIiqlc/Hc1Blye/xtzVB7y2z2dXHcDujDw8tGI3fjl1AfZ6GH/tybzyK37O0CzjaGzd8qs8nYzcEqw7mI0T5y910R//n62Xyl/8v07yBCrWVH2lOMyeiIjoEgb3RERUr577sjyof33jMa/ts6DM6vz3za/9hMUbjnht3w2BJzcAZMGxP1354npMeedn1fUVre+1SYTvrXwFREREjQGDeyIiqjeL1h/B/jMFHpXNLihDsbl23fdf/957Nw58zZP4VDL1e6Ohl7XcX1xXucSp8yVY+2vWpTK+qhgREVGAMPi7AkRE1DTsysjDS18f8qhsdkEZ+j2/DiaDDoeeHQkA2PN7Ht788Tj+OqITkqNDXMrnlVhdHnuSgK2h8KSmnrTce5LgryGy2cufmyfDHCq/CkNeWu+yroF2XCAiIqo3DO6JiKhenC8ye1Tux8M5eHfLCQCA2XapyfrGVzcBAM7kl+HDuwe6bLM3QANbwLOW+zN5pZplPt11xgu1qbuMC+6nv1Oz+dh5/HLqQoMdVkBERBQo2C2fiIgalPH/2Yqv92eprj92rlhzH/raDOAGUGy2Yc7n+7HteG6ttq8N4UHb/bKtp+qhJt6x4NvDNd7mr//b49HrQEREROoY3BMRUb2oz9xn7hqBzxWacf/7v0gD99c2HMHbP53Aba9vrtUxqHYCaRgFERFRQ8XgnoiIfGrnqQvYnZFX6+2LzDbM/erStHmeBNXuung//NFufLH7DG57fTNeXHMQ+aXWamUqT9f2+e4zKLXYVY/hrZsVTPjurWR4vNtCRERNW70E94sWLUJaWhqCg4PRv39/bNu2TbXs/v37MXr0aKSlpUFRFCxYsKA+qkhERDXw5o/HcfVL63FaYyx4qcWOW177CTct2oQym3qgXMHhpgV3/teHXLLfVw7h9p3Od1sHd73yD2cVOv/92oajeGbVr3j0f3vw5/9udzul2gPv/4KnV+3HqfMlsNiaQLp6P2IvCCIiorrzeXC/YsUKzJgxA7Nnz8bOnTvRo0cPDB8+HNnZ2W7Ll5SUoE2bNpg3bx6SkpJ8XT0iIqqFp1f9ihPnS/CPb+TZ78uslwL63GKL2zKVA2t33bMPZrpOnaco5dtk5JbgDwt/xBXzvqu2jbuW+6p73pWRhxU/Z+DbA9n4LauoWl0A4P1tGRjy0nqM+/eWavvzVkDKudrLM+XLXgbG/kRERNp8Hty//PLLmDJlCiZNmoQuXbpgyZIlCA0NxZtvvum2fN++ffHSSy9h7NixMJlMvq4eEVGTVGKx4bNdp912Ta+Jqi3tQghkF5Y5A1Z7pYjNXRf397edQt/nvsXbm47jlbW/weymdV+pEtopUDDlnZ9x5Yvrq5V1lqkUeZdZ7bDYHNWmk7NXqrv14kTydpWx39tPXFA9FtVd1eB9y7HzNd8H7wAQEVET59Op8CwWC3bs2IFZs2Y5l+l0OqSnp2PzZu1kRZ4wm80wmy9Nr1RQUCApTUREAPD3T/fj452/Y1DbWCyfMqDW+zHoXe8Rf3cwG5P/+zPuvqoNZo3s7JzDHADcxc2zVu4FAMz54lcAQJhJX62Mu6Dt2wPue39V3sbuECi22HD502sRHRpUrTXf3dzxdj/0vmcuufIeGx/+nOF8PHbpFux7argfa0RERBR4fNpyn5OTA7vdjsTERJfliYmJyMzM9Mox5s6di6ioKOdfSkqKV/ZLRNSYfbzzdwDAT0dr3kJa2f92/I45n+9HmdWOh1bswuT//gwAeP37YzhwtgBv/XTcWdbmQeR8KLOo2rLfKo2VBzxroTXoFNzz3g5cNucb2BwCOUWWakF05di+ItCXdZF3OARe/e6ws1W5ao8Cqr3jOcU4m1/msqyozFatnOz8cHgDERE1dT5tua8Ps2bNwowZM5yPCwoKGOATEdVAkdmGcFPtfw7e/ukEFAX45JfTLstH/vMHl8dWD4J7m6N6mZwi17H6noTUep2Ctb9muSyr2uW/8rzqFYG/XRIgfrb7NOZ/8xsAYECbGPRvHetBTbQxJnWv8vnx5IYOX0ciImrqfBrcx8XFQa/XIyvL9QIrKyvLa8nyTCYTx+YTEdVBt9lf45UxPXBzr5a13kd2oVmzjMWuHX15cgPAE3o36fILq7QEu7mPIO0if/xcsfPfW47lIiNXPlOAp0S1VH8EAEeyq/fiUCRRPoc3EBFRU+fTbvlGoxG9e/fGunXrnMscDgfWrVuHgQMH+vLQRERUAw+t2F2n7T1pTfckcLfYPLgB4EEUp/egqTe78FI38Lvf/Rmvf3/U7VR8FaquMXtperxVe856ZT+NzR3/uTRt7me7ziC/1FqnbvneunFERETUUPk8W/6MGTPwxhtv4L///S8OHDiAv/zlLyguLsakSZMAAHfeeadLwj2LxYJdu3Zh165dsFgsOH36NHbt2oUjR474uqpERFRL7qaeq8qT4OrbA1maZc550EtA526i+2r1uRQMZhWYMferg6rZ8t0ptVQfE14b7lqoqTqtaRfVzlyx2YabFm3C5c+sxdl87/S2ICIiaoh8PuZ+zJgxOHfuHJ588klkZmaiZ8+eWLNmjTPJ3qlTp6DTXbrHcObMGfTq1cv5eP78+Zg/fz6uuuoqbNiwwdfVJSJq8o6dK8Kp3BJc3THB7Xp3LaSehMSB0HLqLoN+haqrit1M7Ue+s3rvWfRMiVZdr3bubn5tE37LKr+B8u7mk/jriE6+qB4REZHf1UtCvWnTpmHatGlu11UN2NPS0pjxlojIj679x/cAgI//Mgi9WzWDwyHww5EcdEuORGy4yaXFu4KsO3sFT7rce0ttf0dkwT35V06RRT4FosqpqwjsAeB8kQVbjp3HgDbeSYZIRETUkPi8Wz4RETV87nqx/3LqAgDg012nMeHNbc7s9xY3LfC/ni3QPEZ9ttwfrZT8riZk9yheXc/hYQ3ZC18f0ryps+LnDIxdugX/2/F7PdWKiIio/jC4JyIiGHTVfw4qxp9/tS8TwKWM+BY3ieSO52gH04HQLb8mY+6pYdmdkYcdJy94VPbhj3bjyc/2edTjhIiIKFAwuCciIrdTx1XkyKvcGHrvsh34LauwVseouEnQkLFbfmDb83s+Fq0/gvxSq2bZdzafxLKtJ+uhVkR18+uZAvx8Itff1SCiAMDgnoiIYDRU/zlQLk5wZ680IfzqvZmY8Oa2amUbiz2/5/u7ClQHT6/6FS99fQg9nvoGPx7O0Sxf0+75//7hGG589Ue8s/lELWtIVHOj/vUDbl2y2aOZQoioaWNwT0RECA6q/nNwKKsQR7KLqiXQ89b87kS+NP4/WzXLxIabPN5fVkEZnv3yAPb8no8nP9vvUe8AIm/KKijzdxWIqIFjcE9ERG5b7v+343ekv/w9zDZO+UaNU0yY0eOyVXNNlFn5uaD65S6ZKRFRZQzuiYgIesVNuvyL8krYQkmNU+UUC1qZ9qt+RGxMxkf17L0tzBFBRHIM7omISG2KcADA4ewiyVqiwCUuvvPPFZpx5YvrMWvlXvWyoupjBvdUv9gtn4i0MLgnIiIAwI+HczB26WZ/V4Oo3lTE5//b8Tt+v1CK97edwpp9Z/GfH487y2TklsBic+Dhj3a7bLto/dH6rCoREZEmg78rQEREDYMnCciIGpOK1vcg/aU+9/e8txMA0L91DPafycejH+9FTJgRucUWl23f33YKfx3eEc1qMG6fiIjIl9hyT0TUxLjrTsxx9dQUVQyb/+e3h6utO1doxj+++Q0AqgX2FT7eWbOp9IjUCCHw+Cd78Z8fj8Nic+DIxeFQv18o8XPNiCiQsOWeiKiJcDgEfr9QitFLfqq2jtN6UVNUcZur0Gyrts4hBIL08jaQZ788gAmD0jTLEWnZdjwXy7eeAgCsO5CFn46ex8Lbe0EnSXZKRFQVf42IiJqAUosdV81fjyEvrce5QrO/q0PUIDiEqDbFXYVVe87C5GaKyKpKPZgSz2p34HBWIZPwkaqiSjeYfjp6HgDw7uaTzqSPRESeYMs9EVET8O2BLGTklvq7GkQNiwDW/prldtUnv5z2aBdlFjsig4OkZe5dthNrf81C86hgrH/4agQH6WtcVWrcrG7msN92IhdhpkvvlfxSK9b+moXLWkYhMTJYdV8ZuSXIKihDn7QYn9SViBouttyTJiEEbG5+dIgocKi1ThI1ZQ4h8NGOjDrtw5OW+4obCGfzy/DaBmbZJ1fnCs3ORI5VrT90zvnvfacLMOWdn9H/+XUAgJ2nLiAjt/qY/CtfXI9bl2zGocxC31SYiBosBvekafx/tmLQvO9Q5sEFDBE1TBbeoCOqxiEE+rRqVqd9lFndf7aEEHA4qnep/vVMQZ2OR43PK9/+VuNtjmQX4ZbXfsKVL65XLbPn97w61IqIAhGDe9K06ch5ZBeasfV4rr+rQkS15K7LJ1FjV5FxXM3X+7Mw/5uaB1aVmW2uN74vFFuw+eh5jFjwA4Yv2Fjts3fyfDF+yypvUXU42DOOgP2n82u+zRntbXKKLLC7ucFERI0Xg3vyGLv1EgUufn6pKUp/+XufH+NClWkkez2zFre/sQWHsgpxOLsIC6q0yh7OLsKwVzZi05Ec3Lz4Jwx9+ftqNwioaTmdV7d8KGv2ZaLt46ux4+QFl+UvrDmIu97eXqd9E1FgYXBPHiuxVJ8qiIgCA7vlE/nGhDe3SYetLVrvfoz9uH9vxe6MPJw8X4KHVuzyUe0oEOQUWeq0/T3v7YDdITB6cfVpTr//7ZybLYiosWJwT6qyC8ow4GLSFgD4fNcZP9aGiOrCamPXTCJf+eSX07DYHLXuIbN6byb2/J4Hh0PgQnHdAj0KDN//dg5HzxXVOvh2l0gPAH48nFNtmd0hcPvSLXjys30uyzgkJHBkFZThrre3o/Pf12DIi+vr3NuDGi9FNLJJVwsKChAVFYX8/HxERkb6uzoBLe2xL6stOzHvej/UhIjqat5XB7Hke2bpJvKVSVekYdo17dD72W/rvK+3JvXFNR0TvFAraoh2ZeThj4s21dvxmoUGOYePvDbucgxqG4ueT68FABx+biSC9OVtfRabA69tOIIhHeJxeWrdEk2S95RZ7fjDwh9dcoi0iA5Bi2YhuHtIG6TFhWHoPy4NQVo87nLERZjQl1Mh1ruGEIcyuCdVDO6JGgeb3YF2T3zl72oQUQ0s+3N/XNEuDo98tBunckuw7M/9YdCzw2WgsjsE3tp0HP1ax+Bf647g2wNZ/q4SAOCbh4YgJsyIN388DoNOwb++OwKA13sNgRACb246gWdW/Vqr7ddMvxKdkiLxW1Yh1h/MxtQhbaAoipdrSZU1hDi0XoL7RYsW4aWXXkJmZiZ69OiBhQsXol+/fqrlP/roI/z973/HiRMn0L59e7zwwgsYNWqUR8dqCC9qoBNC4Eh2Ea57ZWO1dVsfH4oNh7IxtHMi4sJNfqgdEdXU4g1H8cKag/6uBhHVUGpMKE5d7H7dslkIbu3dEn/s2QJZBWUIMxnQpXkkdLpLF+sbfzuH88VmXN89GUYDbwQ0JCu2n8KjH+/1dzWqCTPqUWypnjOiXUI4plzZGmP6pkq3F0Igq8CMpKhgX1Wxybr73Z/x9X7v3gTa9Ni1OJxViKs6xDPQ94GGEIf6PLhfsWIF7rzzTixZsgT9+/fHggUL8NFHH+HQoUNISKje5eynn37CkCFDMHfuXPzhD3/A8uXL8cILL2Dnzp3o1q2b5vEawosa6P76v9348OffNcslRppwc6+WmHFdBygKnN26iKhhcdcLh4gav/uvbYdBbeMQG27E+oPZ2Hs6H1OubINmoUYkRpmQX2pFQkR5UGazO5BfakWIUY9Qo8HPNW8cHA4BhxDYf6YAN9VjN3xvur1fChwOYMvx8zh5vgR/HdEReSVWXNUhHo+t3IOM3Etjvw8+MwKLNxxFiFGPSVekwWTQq+43r6Q8t0R0qNHnzyFQ1ddvd+WhGVQ3DSEO9Xlw379/f/Tt2xevvvoqAMDhcCAlJQX3338/HnvssWrlx4wZg+LiYqxatcq5bMCAAejZsyeWLFmiebyKF3XZxgPIsxvQKiYMZVY7DPryu1NHsotg1OsQG25CUpQJZVYHisw26BUFRWYbzDY7YsNMaBYWhGPnihFmMiAi2ICT50uQX2pFm7gwhBj1UBQFGw5mIybMiJSYUCRGBiMy2IDj54shBBAVEgSr3YGI4CCEGvWw2h0oKLMhSKdAAMgpMsPhEDDodYgLN8Fqd6DUaofdIRAbZkRwUPk2x84VY+epC+ibFoNWsaFwCOB4ThHaxIWjxGrH6Qul6Nw8AjlFFphtdsSEGmFzCBh0CoL0OjQLC0JeiRVmmwMmgw4hQXqYbQ7klVrQLNQIvU6BQaeD2WZHfqkVEcEG3PX2z7U+3/1ax+DGHskI0itIuPiaFJvtOHm+GIqiICHCBL1OwblCM8qsdjgEEBkShJAgPQ5lFUJB+diwyJDy8WG5xWa0igkDFGDR+iPo3aoZ+rSKQVRIEBxCwGxzIEivIDhIj+AgPfafyUdSZDAKSq2IDjUiPsKEH4/koF18OBQFiA4NgtUuUGKx4fSFUrSKLX9/xIYboUDB8Zxi5Jda0bl5JPQ6BUaDDmarHUEGHXKLLIgJM+LouSLEhBlxvsgCW8X5MuoRHRKEzPwy7Dmdhx4toxGk1yEqJAh6nQKr3YESix3ni8yIvLgst7h8f/mlVuQWW9AjJRo6RYHV5kB2oRnnCs1IijKVn8dQI6z28veqQa+DUa+DQadAf/F9nVdiQVaBGVEh5e+3ZqFGFJttCDbqYdApyC4ww6BXoNcpiAgOQqnFjsz8UhRb7Ei7+BocyipEVEgQUmNCYdApaBZmRInFBkVRIIRAuCkI+aVWnMgpRqhJj+ZRwSizOmC22dEs1AiDTud8nuHBBuSXWlFmtUMBoCgKwk16lFrtKLHY8cNvORjaOQGhRgN0Cpyvk0GvQ5BewYnzJdBfvKMcFRJUvh8FMBn0sNjtMFsdMNscCDHqoVcUZBeacTqvBCnNQmG2OZAYGYyIYANyisw4nVeK1JhQhJsMCDcZUFBmRVaBGZHBQQjSl5+HyJAglFjsiAg24HhOMdJiQ3E2vwzNo0JgCtLBYnPAaNDBaiv/nOp1CuwXL9qsdoG4cCN+yyoqfy+FGVFqtaNFdCiyCsrQolkIjAYdMvPLkF9qRXy4CTodEBNmQlGZDYoCNAs1whSkQ1GZDeeLzQg26GE06GB3CBgNOud3lKIARWY7jucUoV1COGx2gcXfH8Wxc8UAgJdv64FmoUZsOX4er39/DACQ3jmxwXT/JKKmJzbMiPPFFkwY2AoJkcF4Z/MJtIkLx9DOCTiWUwwFwMC2sTh2rhh2h0BSVDDMVjvMF793DXodzhWUwRSkR9fkSAgAxWYbzFYHYsONKDLbsOnIecRHmAAhcCa/DEM7JeBCiRWhRj0iQwyw2ASCg3QoszpwJq8UzaOCodMpCNIrsNoFbHYBi90Oo17vbKywOxwIvnjNZLML5BSZ0So21Pm8isw22B3lPR1NBh36tY7FuUIzDmcXYsG3h/32ejd18REm/P0PXfDA+7+4LB/cLg4OIfDT0fN4dEQnRIUE4fFPLvWkiA0z4q8jOiIyOAjFFjvO5JVCr1Pw69kCtI4NQ4+UaJzJK0V8hAkXSixIjgpBZIgBGw6dQ5HZhoSIYLRoFoK4MCMEgB+P5MCo1yElJhS/Xyi5mM+g8eS96d2qGfb8ngervTyMfHREJ7RoFoIyix15pRY0jwrB6bxSWC8mGY0KDYJRr8PvF0oRatJDpygw6BS0TQgHAOQWWbDvTD4SI4ORFhuGwrLymKTEYkeptfx8hJuC0KJZCCJMBpwrMiM2rDzmycgtQUSwAc1Cy+Mnu0OgzGqH9eL/o0LKjy0gYNTrUWS2wmoXMBl0EED5tbfdgeyCMqTEhMJqF7A7BBSlvCGzoMyGH37LQVRIEFo2C0FMuBH5JVbnNeiRc0UIMxlwNq8UfVsE49rLWjfe4N5isSA0NBT/+9//8Mc//tG5fMKECcjLy8Nnn31WbZvU1FTMmDED06dPdy6bPXs2Pv30U+zevbtaebPZDLPZ7HxcUFCAlJQUpEz/EDpTaLXyRERERERERN7kMJcgY8Ftfg3ufdrvKicnB3a7HYmJiS7LExMTcfCg+/GfmZmZbstnZma6LT937lw89dRT1ZbHhhlx4eK07C2bhcCgU3C+yIJC86W52ita3xIiTAg3GfB7XinCLrZ6HsspbwmLDDagbUI4fjmV53xcUHZpHyaDDuaLd6Xiwo2ICA4CUJ7ZUqcoCA7Sodhsh0MIhJkMCA4qb5HLyi9DqdWOUKMe54staBEdApNBhyB9eSudxeZwtuqeyi1Bj5ZRKDTbUFhmw7lCM0KC9EiJCUGx2e5s6QwJ0qNz84iLLablrZoFpVY0CzVCUYDCsvK7zBHBBoQHG1BqsSOnyOJspTUZdNiVkadyNj1nNOiQFlveglpmtUOvKHAIoLCsvDU9xKhHqcV+sTeDFbFhJudzAMozgMZFmLD7Yl1aRIeg2GJD3sVMr0B5677RoINeKW/tLbHYER0ahAvFFoQY9fj9QimSo4JhsTuQU2RBq9hQZOaXIUivQ1JUMIL0OpwvMqPIbEPkxXMWFRKEc0Vm5BZb0CYuDDaHgF6nINSoR36pFULA2QvEIYBzheU3ldrEhcEuBEKCyo9bZLYhPsKEMGP5HX+dUr6PEKMee37PBwC0ig2FxeZARLABv2UVOd8/zUKNKLHYUWa1I7fEglYxodDrFAhR/rqeySuFQ5TfSRQCzte4fNyUQLjJAJ2ioMxqR2RIEAx6BWarA6fzSiEEEBykg80hEBUShN8vlCLCZECoSY+sgks3yCrei1aHA9EhRhSWWRF+sQfG6QulCDPp0aJZCC4UW3E6r9TZ8hwZbHB25SwoK2+1tzkEwowGtGgWgvwSK/JKLSgx21FotiElJgRlVgfCTQYE6RXY7AJWR3kLSUGpFWU2B9onhMNiczhfcwAINeoRbCjvBVBssSHMWN7arlPK7wwLARh05a0xFVPFtI0Pg9UuYL047U/Fec8rscAuBJIig8t7NFjtOJJd3jOjyGxD+4RwlFrKew3kl9qQHB0Mq12gyGzF6QuliA034VyhGfERJpitdud3g04BuiRHoqjMdrEXj8CvZwuc3xmRIUGIDTPibH4ZIkMMMBn0MNvsKCyzOXssxIWbEGQof10OZhYCADomRiDMpMfZ/DKczS9z+/lLigxGZoH7dUREDVGL6BDn93XlPANx4SbEhRtxMLMQwUHlveHCjAbYRXmrm05REGYyYMfJCy77iws3ITLYUH4Noldg1Je32mcVlMHmEOW/c0Hl3ZDPF1kQF27E0XPFiAw2IPnib2BBmQ1GvQ5hJj3KrA6cKzIjwmSAopT/9oYZDRAQ+C2rCNGhQTBby3/TswvNoMAUF25EqcUOgfIEiOZKU1tWvEdTY0KhUwCdTkGpxV7+Ox5sgE6nIK+kvIfvmfxSlFmb3jSDA9rEYOfJPOh0QHRIeat6TtGlz0NF7xkACL8YE0UEG6AAOJVbAptDIEhffs1rcwj0TInG6bxS5/V2VEgQgoN0iAkz4XyRGfqLvZTzSiyICC7vMV3RG9ho0DmvWUONBljtDjiEgEMADiGgVxSYbQ4oSnnLffn5tiMiOAhhRj2gKMgtNkOBgpwiM0ou5qVonxCOIL0OJ84Xw2jQIdxkgN0hEBkchDN5pchvAB//gB9UNWvWLMyYMcP5uKLl/vu/XoOIiAjNZBEVHRfclRNCeLTcfjHq0OvkxwoUbR9f7XxOnnpgaHuM6p6E9gkRAfU6qJ1j8ozDIVySOVH9E0KgzOpAcFB5N36DXud8X+eXWNHj6W+cZStPh0RETYNep+CmHsnYejwXp/NK0T4hHMVmG87kl0GnAC/d2gOvrj+C4xcbNVbeOwi/XyhFidmG/FIrYsNNuKJdLOLDTTDodcjILYHF7oDZ6kCp1YaC0vJyrePCkF9qRXJ0CKx2R3mgE18+lDHCZMD5YguCdDpEhhg8+t0N5N8XIQR+v1CKkf/8AUWVGpWamht6JKNfWjP8/bP9qmXCjHo8NrITfj1bgEFt47Dj5AVc1TEekcHlw/V6pkTDbLOjoNSGNfszkV1QhofSO7i8NxwOgWKLzdnAVpXl4hBOT953srjAUza7A3qd4hzWqLWv80VmnMotQa/UZrDYHBAQ2He6AKMX/1TrOtTEZS2jEGY04LKWUbjl8pZoFRuKvBIrdAqcQ0k5Jt8zBQUFiFrg3zr4NLiPi4uDXq9HVpbreM+srCwkJSW53SYpKalG5U0mE0wm91nbPflgysqorau6PJCCWU8cfnYkxi7dgm0ncqutu7FHMnKLLbitbwriw03okBiO2ADOms/Avm4C9cKrMVEUBSHG8qRFFblFKt7XUaFBeGtSX0x6azvem9wfMz/a5a9qElEd3dq7Jb7en4nCMhteG3c53t50wuV3OiUmBBm5pTAadOjZMhoTr0jD94fO4S9Xt0VaXFi1/RWUWS+2RCu45fIWyCuxollYeXIz2RznKTG1G/JY0xl2Avn3RVEUpMSEYt9TwwEAhzILMXxB9RmIAsHxuaNwJr8MpRY72iWE41BmIRQF6JAYgYzcElz54noAwJcPDEbX5CiczS9FbJjJZbaGOwameXy8G3okV1tmMugRH6HHHQNaud1GdzGfkJqazBzhjevCylNWerK/2HCT81q6oq69W6l/BuviyT90QZBeQXqXRBSW2dAhMcJtuaQo9WSI1LDVS0K9fv36YeHChQDKE+qlpqZi2rRpqgn1SkpK8MUXXziXDRo0CJdddlmNEuoxW37d7Pk9Dze+Wj2z64u3Xobb+qT4oUZEVFeD5q7DGZXu/ETUcN1zVVs8NrIT8kosUBQFUSHlgYzZZse7m0/iqg7xaK9ykU4Nw9n8UizecBSTB7fGkewiTP5v7ZMXe9OcG7qgVWwYJr29HXNv6Y5ZK/firital98kSonGiG7uG9fI955Z9Sv+8+PxWm/fLiEcLaJD8P1v55zLTsy73htVIxUNIQ6tl6nwJkyYgNdffx39+vXDggUL8OGHH+LgwYNITEzEnXfeiRYtWmDu3LkAyqfCu+qqqzBv3jxcf/31+OCDD/D8889zKjw/cDcFx9HnRzW6ngpETQWDe6LAcHzuKCiKgn2n8/H1/kzce3U7Zw8dahxsdgcGzP3OZUyyPyyf0h+D2sY5HwfycIjGRgiBPb/n12gaxX6tY7D0jt4uUwza7A68u+UkhnZKRGosk437UkOIQ30+gGLMmDGYP38+nnzySfTs2RO7du3CmjVrnEnzTp06hbNnzzrLDxo0CMuXL8fSpUvRo0cP/O9//8Onn37qUWBPvsfAnihw1TCVBhHVQKgXg++KrrzdWkRh5rCODOwbIYNeh28eGoKld/Su1fYvjr7M5XErlaBtxdQBuO+ats7Hu58chlX3D8a4/qm4qkO8S2APBPZwiMZGURT0SInGP8f2rLaudVwYruuSiJX3DnJZ/uHdA10Ce6D8vTbpitYM7JsIn7fc17eGcMekscjML8OAueucj58Y1RlThrTxY42IqC76PfctMzkT+cCTf+iCW/u0xDUvbcD5YotH29wxoBXWHciq1psmvXMC/j2hry+qSQ2Uu56SWrY+PhT9n790jXbkuZHOBpjWs1YDAIZ0iMc7d/UDUD5LTGiQnsF7gDLb7Nj4Ww7e2HgMRWYb3p86wDk853BWIT7YnoG/XN22xrktyLsaQhzK4J6kNv52Dne+uQ0Ax+kQBbo+z65FTpFngQcRea7i9/HU+RIMeWm9x9tcKLag1zNrncsOPTsCRr2OyV6bmNoE9yfmXY9ZK/fgl1N5eP2O3mgVeylp4uaj5/HtgSw8MrwjgoPY64OovjSEODTgp8Ij37qyfRxeG3e5ajZNIgocNvbLJ/Kp1NhQBOkVWO3yz9rYvuWJaZuFGfHOXf0w6e3tmDWyE0wGBmLkubm3XOZ2+cC2sRjYNraea0NEDQGDe5JSFAWjujf3dzWIyAvsGgEHEdWdu3toXZpH4tezBQCAHx+9Bi2iQ5zrhnSIx/6nhrOFlYiI6sznCfWIiKhhYMs9keceG9mpVttd0zHe5XGv1Gjc3KuF83HLZqHVut0zsG/a0iSJztyN0LjnqrbVFxIRgS33RERNhr1ScB9uMqDIbPNjbYgatnuuaot5Xx3ULNcpyXXY2ku39sD720/h+u7Nsf9MAa5oG4ezBaXAasCoZ5sK1UzlzFiKAhyfy/xHRKSOwT0RURNhsTuc/97y+FB0m/21H2tD1HDFhBm1C130zuR+Lo+bhRlx79XtAMCZ5CwqNAir7h+MxMhg71WSGo24cBNOnC/RLHdZy2jfV4aIAhpvIRMRNUENMRf37f1S/F0FIgDAiG5JHpdNiPAsYO/WIgrxEZymiqp7+bae6JES7Xy88PZezn93bn4p43ZD/N4mooaFLfdERE2QrgFOtVVYxmEC5B0GnVKnHBN/u74zAGBE1ySs2Z+J1+/oDQC4+90dXqkfUWWpsaH47L4rYLM7UGS2ITrUiKGdE1BqseO+5Tud5eaN7u7HWhJRIGBwT0TUBLmL7fU6xWVcfn1jUjHylvUPX40rX/RsvvmqTAYdQo3ll0eLx18Ohyj/bADVPyNP/qFL3StLdJFBr0N0aPmQkFCjAaFGg8uY+05J/pk3m4gCB7vlExE1Qe5a7g06/7bm+/v4tXFDj2R/V4HcSIm5lH381t4ta7Rt5Y+GoijOwB5wTUr5zE1dMemKtFrXkcgTHaskbCQikmFwT0TUxOgU9y33QczkXWP6wLsf0eREhQTh7qvaeFxekYxs7t4iCgAQYTLgjoFp1aa0I/K2ytMoEhFpYbd8IqImJkivc9ty78nUeAkRJmQXmn1RrYCkC8DeBk1NTc+QLF5fckdvLFp/BHdd0bpOdSLyVOfmkQgz6pHAmRaIyAMM7omImhi7Q0ArJh3XPxV5JVZ8ufcsgPLW/pX3XoGsgjImFatE74WW2zCjHsUWuxdqQ7VVOQGf7Iy2iA7B8zczqRnVn+AgPXY+eR0MOvasIiJt/KYgImoiRnQtn97rTg+6Ez82shMWjbvc+bhZqBE9U6Jh9HPX/R4to/x6/Kr0Xmi5DzEykaAvXNspAQBwa5+W0q72AHBdl0Tnv40GXhpRw2Iy6L3yXUNEjR9/wYiImoiXx/TAWxP74tGRHTXLVh1/b6gYXO7D60vhQaL+ykU6JIZjyfjePquPJzjkuuFaPP5ybJ51rccZxufe0h0mg87lphYREVEgYXBPRNREhBoNuKZTAkyG6i3FI7sl4ZHhl4L+qq1EFS2f7sbq16d28eHOf99yeUuM6Jbkx9pAswdEZLBno9/uuaqtN6pDlZgMejSPCvGorKIAt/dLxf6nhmNQ2zgf14yIiMg3GNwTETVx3VpEYvH43kiqlLCp6rR0iu8b7qWubB+HjY9cg2ZhRueyy1Ob+ak2l2j1lPU0m3rzKCbL8qeK8cwGzhhBREQBjL9iRERNXGhQeeuyo1K/+KpBacWj+my5v7HSHPKxYUakxoa6rO+S7Fl3a1/yzuvBvv3+1iExXLsQERFRA8fgnoioiTMFlf8UyMa8VwT79RXb331VG/zr9l7Vju9Sp/qpitOskZ2qLfNOcC84dt9P/nfPQNxzVVv8+co2/q4KERFRnTG4JyJq4irG1zs8yGjnyyBUVE6Xp1KVylX0Zi8CrUzUi8ddjqlDqgeA3qkCI3tfUztPfdJi8NjITggO4owFREQU+BjcExE1cRVztTukLfcX/+9BIBocVPefFm/daHh3cj9sePhq52OjXoeUmBC0iL6UaG3pHb3xy5PXuWz31xEdcWvvls7HKTGhbnsPaN1g8KSOnpQZVmmqNqq5+HCTv6tARETkcwzuiYiaON3FVmuh1lxeuaxGIBoTZsSjI6p3X68pTxPRVaZTgPTOCbi7Ugt786gQxEdcCuwGtYvFD3+9Fle2v5QRPTU2FJHBQS77uvfqdkiMvLSdWhDvramn2XbvPX+7vnO1Zbf2aelyzomIiBojnwX3ubm5GDduHCIjIxEdHY3JkyejqKhIus3SpUtx9dVXIzIyEoqiIC8vz1fVIyKii5wt95Kme2fLvUbQveNv6UiLC6txHR4e1sHlceVkeoD74LdqwN2vdQz+PaGvSzCvU1xbxiv+Wfl5qAXulXsp6FR+LWtzE6I2GvOY/Krn3p2Kngue9GBwN34+MjgI707uj/TOCTWvIBERUYDwWXA/btw47N+/H2vXrsWqVauwceNGTJ06VbpNSUkJRowYgccff9xX1SIioir0+vLIsWuLKNUyl+a5v7SsbXwYerdynY5OUTzpuO9qyfjLMe3a9i7LuknqculYastdA/fKNXKXGFA1uPekjGYttSlVD9bETLu2PY4+P0pa5uUxPfHi6Mvw4q2Xee24j4+qew8TIiKihsTgi50eOHAAa9aswfbt29GnTx8AwMKFCzFq1CjMnz8fycnJbrebPn06AGDDhg0eH8tsNsNsNjsfFxQU1LreRERNUUXL/eWpzfDWxL7VppwDKrfcX1r2xp190CY+HGmPfVmlbE0D1YvDArRHBbjwJODWKYrblnudS+Duun3FeHzX/bivg1aVPXklGmNcf+fAVnhn80mPy2slNAw3GXBb35S6VsvF1CFtvbo/IiIif/NJy/3mzZsRHR3tDOwBID09HTqdDlu3bvXqsebOnYuoqCjnX0qKd3/8iYgau8qB1TWdEtA2vvqc3zXpzl7Tceg1CW4r5wVQ28wlmK/aLd9NYsCqz0NRqv6j9t3va3i/QlXN+0P4V9UeHb4WbvJJWwUREVFA8Ulwn5mZiYQE13FtBoMBMTExyMzM9OqxZs2ahfz8fOdfRkaGV/dPRNTYeTKlnLM7uwfb1TQQre2Udqrd8ivvW6dUqU/14QVqwX3lpfo6NK8vGX+5ZpnACt21eXpOn7u5m1eOZ9A3tleQiIio5moU3D/22GPl4yklfwcPHvRVXd0ymUyIjIx0+SMiIs8ZPGhqd9dyrxa/1bjlvpaF1FrTXXsXuNbHXWLAqsnyLuUX8CTpnpwCIEjvnfvoV3WI98p+GpJx/Vt5ZT+yZJCV1XToBxERUSCpUT+2mTNnYuLEidIybdq0QVJSErKzs12W22w25ObmIikpqcaVJCIi39HVIBqvXFR1nLQvu+VLgrOKdVVb5V1uSLg5pmrLvZubApW9fFsPHMos9KDWcp72dOjfJgbf/3auzscLJImRJkxxk/2+KruHwb3F7qhrlYiIiBqsGgX38fHxiI/XbjkYOHAg8vLysGPHDvTu3RsA8N1338HhcKB///61qykREfmERw3LHoxVv1S0dt3yvdaoWqV3gbuhBLLncalMpWVVbmQM75qIWy5vibmrD3i7yo2CN86lXqdgy6yhHuU7SIwKxrFzxZrlbu+Xih8O56Bf6xgv1JCIiKhh8cmY+86dO2PEiBGYMmUKtm3bhk2bNmHatGkYO3asM1P+6dOn0alTJ2zbts25XWZmJnbt2oUjR44AAPbu3Ytdu3YhNzfXF9UkIiJ4Np7cfYu3+7I17Zbv7QHn0mz5SsXyymXcby97rmo3MNzNw6718noS2CtKYHUpF16orE7xPJHh0jt6Y3C7OHx0z0BpuVHdm2PtQ0Pw7uR+da4fERFRQ+Ozee6XLVuGTp06YejQoRg1ahQGDx6MpUuXOtdbrVYcOnQIJSUlzmVLlixBr169MGXKFADAkCFD0KtXL3z++ee+qiYRUZPnSbd8d/PDezLm3RM1Ke3JriuHlVW75bvbT7Xn725cvlpG/Srmjb6sSjnPb5w0Jmqx/Z8Ht3b++4Gh7aX7MBn0Hh+vXUIE3vtzf/RN026Rb58YUaN9ExERBQqfzR0TExOD5cuXq65PS0urdmd/zpw5mDNnjq+qREREboQZtX8KnK3ZLt3ZVcpWWn7HgFY4X2zG6r2XZkrp1iISV3dIwKvrj1zcj3fCW+cvSqXflqq9Epxd7mWBu5t9e1pFT3otNI8Kxtn8sirHlG8YaN32hZuO+UaDDoeyLuUomHFdB7fb6nUK7A6BV8b09OhYT4zqXKs6EhERNTY+a7knIqKGrSL7+pi+KR5vUzlo82Se+weGtsdr43q7rF91/5W4vX+q83HFbrzV7bzybpSqv3LOY1V+HlWKuOml4GnLvdteAlUC97m3dHe/sUQgdckH1N8bPxzOUd1m0hVpiI8wYevjQ3Hg6RG4zs0QBwCYfUMXl8dThmgn3CMiImoKGNwTETVRb07siz1zhiElJlSzrLtYzZMWd08S6nuSgK8mSfoqB8JqrfKVk6tX7ZZf8ajyfqr2AKioT9WY25OW+6iQINd9BVqzvAdaNgvBg1W73WvcoJh9Q1dsnTUUceEmhBjVu81PuuJS1/64cFNdqklERNSoMLgnImqi9DoFkcFB2gVRKZh1CYrdl3UJilWiXa1p5urCk1b5ytSy5UuX1aDl3pMy3ki615AIATxUpdv9jT2TNberybSMRERE5IrBPRER1YonLfeqSfcqRcc1CVylLfjC5X8A3AXuF8uI6suq1qfyTYJq3ftVuI1NPbsvEPDenNhHuv7pm7rWU02IiIiaJgb3RERUK2rBvc2h3nJewaXl3pNu+TWIiCsH7moN7p7kDpB176+6P7VynlZbq5wnr1FKTIiHR/ONK9vHO/9dtQd+clQwQj1I3FhTgdajgYiIyJcY3BMRkSZ3QZRaYLXl2Hnnvz0Jip0t5VqDsj0ka7l3lpGNy1eqj6dXmS2vGk/nrPeFAa1jcfdV/kku9+DQ9i6vY9UEgEVmm0+Oy9ieiIjoEgb3RESkKcxUvdVVLXAOr1RWbcx95aisJlPheTTPvVBvlXc/5t79Y09uAFSrn5tws+qSqmUaQ+vzQ9d1kAbaBWU+Cu4bwWtHRETkLQzuiYhI1StjeqBNfBheGH0ZANcgVy1ur5hiD5BMGVfLMfc15UmLe9XAveKGROWeBN6c574mvSACSeXn4Ai0ufuIiIgaAQb3RESk6uZeLfHdzKvRLiEcgGuG/Iqg+P0pA9AxMQIf3TMQgGurtmq3fJcx997lOuZerVu+euBeUWdPptSrqnoLv7yunpYJBIqkW76v8B4CERHRJQzuiYjIY/GV5hWvmLZsYNtYfP3QEPRNiwHg2hVfdWx65X97knVfY3+VScfuO8f3qx//Ust9pWUeBu3uW+XltfYkWV6gDS5XOwd/uKy5V4+TEMl57omIiCowuCciIo/Fhpvw3uT++PgvA1XLpMWG4rouibjl8hYw6LV/Zpyxbx1bYSsCSllrrieBtDOQl7TuqyfUq13m/6r1GtktSXM/DZnaORjW1TvPa8XUARjcLg7/HNvLK/sjIiJqDLw/Lw0RETVqg9vHSdcrioI37pTPee5JEFxbntwjkN0AqBh6IGvd9/RY7o7jyQ2Gp27qiq/2ZWqWa6jUxtxHhQR5Zf/928Sif5tYr+yLiIiosWBwT0RE9a6moX1FbO1ZtnwPykjCcndj7mtLoHY96qtl1IdrngB/u7J9HH44nKO63qFS1SvbxeH2fino3DzSRzUjIiJqutgtn4iI6p3V4XD+OzO/zOPtPGnxlwXubnrcV6M6fV8N6wEAdjdRbrUu/gpqdQdgcDt5DwpfurV3S3RMjKi2vFloect8z5bRbrfT6RTMveUy3DkwzYe1IyIiapoY3BMRkc89MLQ9AKB/6/Kke8ZKY/E9mT6uJo3W8jH32pwt97KbBB7uz6Pg3t3+PUjMt3j85RpH956nb+pabZm7Om55fCh2zx6GqFDvdL8nIiIiz7FbPhER+dxdV6QhIcKEGy5LBgBEhxqd64IuBvr12elcdiydB637nrI7hJtg3vPZASqr2i3fl3kLqhp9eUs8+dl+zXImgx4mg74eakRERERVseWeiIh8LjrUiPEDWrlt0fVoHH1FWVkZUfF/7ahcVqQiUZvauHHNilRid3Mg99nya64226TGhNZiq0u9GYiIiKjhYnBPRER+5Ung6LVu+c5DVS+04eGr8ewfu2Hy4NYXS8i65dd+zH31OlXfV9VltW2lrzpl4dUd4zHlytY13g9jeyIiooaP3fKJiMivkqNDAGi0yteg035tp8JLiwtDWlyYRzvyNNi1O4TbzPdaPCrjQaFeKc1cHgtRuxsFniQZJCIiIv9icE9ERH7xzl39kFVQhg4Xs67Lgk5vtdzXZn+euv/adh6Vc5dQz1fj5721W4b2REREDR+DeyIi8oshHeJdHrtrHI4ODUJeiRVDOyeUL5BEmcL5f+3u9J70BKhp/D9zWEcPS2qny/ckKPd0aIA31GfyPiIiIqodn465z83Nxbhx4xAZGYno6GhMnjwZRUVF0vL3338/OnbsiJCQEKSmpuKBBx5Afn6+L6tJREQNgLux9+tmXIXlf+6P67s393g/3mqVlyXmq6ipJ4fyLFCv+rj6RrV5Xt4KyhnaExERNXw+De7HjRuH/fv3Y+3atVi1ahU2btyIqVOnqpY/c+YMzpw5g/nz52Pfvn14++23sWbNGkyePNmX1SQiogage8uoastiw00Y1C7OGaR61OXeg2PVteu+pzFzp6SIWm/rso2ndfDRfIJsuCciImr4fNYt/8CBA1izZg22b9+OPn36AAAWLlyIUaNGYf78+UhOTq62Tbdu3fDxxx87H7dt2xbPPfccxo8fD5vNBoOBowiIiBqrsX1TYLY5MKBNjGoZo179nnSftGaq6ypUBKke3QCQ7ediuK0V8/5nYl+cyCmusq0H/BhM339tO5w4X4Ivdp+5VJ0q0X23FlE+yVtAREREteezlvvNmzcjOjraGdgDQHp6OnQ6HbZu3erxfvLz8xEZGaka2JvNZhQUFLj8ERFR4DHodZg8uDW6Jldvwa/w5ytbo1dqNJ66satz2fqHr8bfru+Mh9I7lC+o4zz3npTxpCW7e4sotIgOqd7lvsrGs0Z2rp5krx6D+w/vdp0uTwEQbFC/PLjvmrZoGx/u0b5fvPUyAMAbd/bRKElERER15bOm8MzMTCQkJLgezGBATEwMMjMzPdpHTk4OnnnmGWlX/rlz5+Kpp56qU12JiCgwRIca8cm9V7gsax0Xhj9f2cb5ODIkyCvHcsjG3Nch+q68ZYfEcFzXJREf7/hdvk0tk+55ol9r9Z4S7lzWMhqAZ0kJb+uTgpt7tUCQpMcFEREReUeNf20fe+wxKIoi/Tt48GCdK1ZQUIDrr78eXbp0wZw5c1TLzZo1C/n5+c6/jIyMOh+biIgC1//1T8XIbklYMKZntXXeCog9mfbdk2NFqdyIqHU167HF39Nu+QzsiYiI6keNW+5nzpyJiRMnSsu0adMGSUlJyM7Odllus9mQm5uLpKQk6faFhYUYMWIEIiIi8MknnyAoSL0VxmQywWQyeVx/IiJq3EKNBiwe39unx6jRTYJadLn3pGdA1Yz6wvmfOlIUaR1rMlMAERER1Z8aB/fx8fGIj4/XLDdw4EDk5eVhx44d6N27/CLru+++g8PhQP/+/VW3KygowPDhw2EymfD5558jODi4plUkIiJyqyJo9iTAlk+FV5du+Z4E7r7hSVd6T7WKCcWRbPXpbYmIiKh++ayvXOfOnTFixAhMmTIF27Ztw6ZNmzBt2jSMHTvWmSn/9OnT6NSpE7Zt2wagPLAfNmwYiouL8Z///AcFBQXIzMxEZmYm7Ha7r6pKRERNRJAn/ekvkoXBNdhNNd4aGuCv6ekqXpe5t3THTT2T8b97BkrLExERUf3w6dxyy5Ytw7Rp0zB06FDodDqMHj0a//rXv5zrrVYrDh06hJKSEgDAzp07nZn027Vr57Kv48ePIy0tzZfVJSKiRioy2ICCMhuu6yIfFlaZPFt+eWTtSTu4rKW+Yl3V/VTLnu+ujAfHrg1P95sQGYx/ju3lo1oQERFRTfk0uI+JicHy5ctV16elpbl0e7z66qul3SCJiIhq4/tHrsGJ88XoldoMADA9vT1+PJyDOwe1Ut2mWZhRdZ1H4+ZrXMvK2/pxonsiIiIKSD4N7omIiBqCZmFGl2C9ZbNQbJ51rTRx3R97JmPpxqO4tXfLauvqNOa+Fpu6q2dtpuPztN68uUBERBR4GNwTEVGTpBUct4kPx64nhyE4SF9tXcWYe09C4KqH0VVeoLIDX42n9yShnr4uCQWIiIjIbzj5LBERkQp3gT3g4TRwKhF65eC+JmF01VFrVbf1VkjO4J6IiCgwMbgnIiKqoeCg2v986nz0yxtk8GzHWqF71eB+7i3dXR4bGPwTERE1SAzuiYiIPDT3lu7o1zoGU69s6/E2VUNhnZsW/arJZD1K2FelTE2m+ZPp3iLKZd+390sFUD7jAABcfjEpIRERETUsHHNPRETkodv7pTqDXS1qobZLt3y1MfdVtnZXrGrOAJ0XgvverZrhinZx+GL3mWrrtjw+FGVWh3QWASIiIvIfBvdERET1SO+jbHneyHA/sluS6rpQowGhjOuJiIgaLHbLJyIi8qGqLeyKB7+8tZsur+bbEBERUePB4J6IiKiWPMqaX4Vrtnz3EXm1pZ6Mwa9FXaqqmpGfiIiIAgeDeyIiIh+oiOGrtqj7rFu+B7tl8E5ERNR4MbgnIiKqR5WD8Ip/V425q3blnz60gwf7VWrVk6AycXEP7OJPREQUeBjcExER1VJtYmB3U+FVVXmu+YmD0pAaG+oMvL1ZFyIiImo8GNwTERH5UNWgu3Lg7i7O//Xp4a7bexq1ezIuX6MMu+0TEREFLgb3RERE9chXLewpzUI1y3jSa4CIiIgCE4N7IiKiejI9vT10OnmAXTWDvqfz14/tm6JZ0vPgnjcBiIiIAg2DeyIiIh+qHE//X/9U13VeCqKnp7eHQa/TTKin2S3fK7UhIiIif2BwT0RE5AO1Ddt92XPeWzcTiIiIqOFhcE9ERFRP6hJcy5LdebpfjREBTKhHREQUwBjcExER1ZJnsbB6RO1spa+noPr6y5pL11+abo9RPhERUaBhcE9EROQDipf719d1d7f1aYleqc08KssWfCIiosDD4J6IiKieeBKgVy1T8biuAXer2DDNMhXHYHBPREQUeBjcExER1ZInjemeBPSiHrrBO+shqU/HxIh6qw8RERF5l0+D+9zcXIwbNw6RkZGIjo7G5MmTUVRUJN3m7rvvRtu2bRESEoL4+HjcdNNNOHjwoC+rSUREVC88uhngh4z2q+4fjBdGd8fQzgkA2HJPREQUiHwa3I8bNw779+/H2rVrsWrVKmzcuBFTp06VbtO7d2+89dZbOHDgAL7++msIITBs2DDY7XZfVpWIiKjm6hiHe3tcfm11axGFMX1TG0x9iIiIqOYMvtrxgQMHsGbNGmzfvh19+vQBACxcuBCjRo3C/PnzkZyc7Ha7ysF/Wloann32WfTo0QMnTpxA27Ztq5U3m80wm83OxwUFBV5+JkRERO7pJMFwfc5z7+2YnA33REREgcdnLfebN29GdHS0M7AHgPT0dOh0OmzdutWjfRQXF+Ott95C69atkZKS4rbM3LlzERUV5fxTK0dERORtNY2pq7aMN9R2cnbLJyIiCjw+C+4zMzORkJDgssxgMCAmJgaZmZnSbV977TWEh4cjPDwcX331FdauXQuj0ei27KxZs5Cfn+/8y8jI8NpzICIikvFFL/aqu6x4XJ/xdlKUqR6PRkRERN5Q4+D+scceg6Io0r+6JsAbN24cfvnlF3z//ffo0KEDbrvtNpSVlbktazKZEBkZ6fJHRERUH2TJ79wF/tUCdy9Nc+dt917dDrf0aoF/39lHuzARERE1CDUecz9z5kxMnDhRWqZNmzZISkpCdna2y3KbzYbc3FwkJSVJt6/oYt++fXsMGDAAzZo1wyeffILbb7+9ptUlIiLymeAg73eAawhJ7cJMBrw8pqe/q0FEREQ1UOPgPj4+HvHx8ZrlBg4ciLy8POzYsQO9e/cGAHz33XdwOBzo37+/x8cTQkAI4ZI0j4iIqCGYMCgNX+3LxMhu8pvW3vblA4NrvI27XgbLp3j+e0xEREQNm8/G3Hfu3BkjRozAlClTsG3bNmzatAnTpk3D2LFjnZnyT58+jU6dOmHbtm0AgGPHjmHu3LnYsWMHTp06hZ9++gl/+tOfEBISglGjRvmqqkRERLUSERyELx+4EtOube9R+aqN8u7a6D1pt++aHOV2ufCgf3/lIH9Q2zgPjkZERESBwKfz3C9btgydOnXC0KFDMWrUKAwePBhLly51rrdarTh06BBKSkoAAMHBwfjhhx8watQotGvXDmPGjEFERAR++umnasn5iIiIAkFDG09PREREjZPP5rkHgJiYGCxfvlx1fVpamksrQ3JyMlavXu3LKhEREfmNLAGfs0zV1v0aDMFvCOP1iYiIyD982nJPRETUVFUE8rJ4210wzgCdiIiIaoPBPRERkQ/VR7d83g4gIiIiBvdERET1RSUK9yj+9+AugScJ9YiIiKhxYnBPRETkJ75scd/xt3Qf7p2IiIgaGgb3RERE9aQuyfJqKjbc5LudExERUYPD4J6IiMgXvBS4M8EeEREReYLBPREREREREVGAY3BPRERUT9xMfFd/x2YHACIiokaNwT0REZEP1CSWZpJ7IiIiqisG90RERPWE4+eJiIjIVxjcExER+Ym3Yn3eMyAiIiIG90RERD5Qk4BbQL1fvuIsQ0RERKSOwT0REVE9qRrve6vBnWP2iYiIiME9ERGRT6lH3kEG7/wM63Tsl09ERNTUMbgnIiKqJ1W76keFBPlkv0RERNT0MLgnIiLyqeqR9/M3d0ePlGjMvK6DV46gY3RPRETU5Bn8XQEiIqLGSJGkwvu//qn4v/6pXjsWe+UTERERW+6JiIjqiVKLFHqhxvL78LKkeRUt954k1osI5n19IiKixoi/8ERERA3QUzd2xeq9ZzH5ytaaZRUPuuWnNAsFAEy6Ig1bj+dieNfEOteRiIiIGg4G90RERPVELQZ31+I+YVAaJgxKk+4vOjQIeSVWXNUhXnX/703uj19OXcDIbkkAynsCvHNXv5pUm4iIiAIAg3siIqIAtenRa5FbbEFKTKhqmcHt4zC4fVw91oqIiIj8wadj7nNzczFu3DhERkYiOjoakydPRlFRkUfbCiEwcuRIKIqCTz/91JfVJCIiCkhhJoM0sCciIqKmw6fB/bhx47B//36sXbsWq1atwsaNGzF16lSPtl2wYIFHYwiJiIgaIn/8hHmSUI+IiIgaJ591yz9w4ADWrFmD7du3o0+fPgCAhQsXYtSoUZg/fz6Sk5NVt921axf+8Y9/4Oeff0bz5s19VUUiIiIiIiKiRsFnLfebN29GdHS0M7AHgPT0dOh0OmzdulV1u5KSEvzf//0fFi1ahKSkJM3jmM1mFBQUuPwRERE1ROyQRkRERL7is+A+MzMTCQkJLssMBgNiYmKQmZmput1DDz2EQYMG4aabbvLoOHPnzkVUVJTzLyUlpU71JiIi8oaaBPLsTU9ERER1VePg/rHHHoOiKNK/gwcP1qoyn3/+Ob777jssWLDA421mzZqF/Px8519GRkatjk1ERNSQCd4CICIiIokaj7mfOXMmJk6cKC3Tpk0bJCUlITs722W5zWZDbm6uanf77777DkePHkV0dLTL8tGjR+PKK6/Ehg0bqm1jMplgMplq8hSIiIj8QgH75RMREZFv1Di4j4+PR3x8vGa5gQMHIi8vDzt27EDv3r0BlAfvDocD/fv3d7vNY489hj//+c8uy7p3745XXnkFN9xwQ02rSkRE5HfMYE9ERET1wWfZ8jt37owRI0ZgypQpWLJkCaxWK6ZNm4axY8c6M+WfPn0aQ4cOxTvvvIN+/fohKSnJbat+amoqWrdu7auqEhER1Qsm1CMiIiJf8ek898uWLUOnTp0wdOhQjBo1CoMHD8bSpUud661WKw4dOoSSkhJfVoOIiKjetYkLB+C9gJ49AIiIiEjGZy33ABATE4Ply5errk9LS4PQuFrRWk9ERNSQ/O+egfh89xk8PLwjAAblREREVD98GtwTERE1NX3SYtAnLcbtOtVGfA/uALBLPxEREcn4tFs+EREReQd7ABAREZEMg3siIqJ6orD5nYiIiHyEwT0RERERERFRgGNwT0RE5EOVe9Ortduzxz0RERHVFYN7IiKiesJe+UREROQrDO6JiIgaiT9f2QahRj3GD0j1d1WIiIionnEqPCIionpSl4R6nnTdT4oKxp7Zw2DQ8949ERFRU8NffyIiokaEgT0REVHTxCsAIiIiH+L89ERERFQfGNwTERH5GW8AEBERUV0xuCciIiIiIiIKcAzuiYiIiIiIiAIcg3siIiIfEuxzT0RERPWAwT0RERERERFRgGNwT0RE5Gd2h3brPjsAEBERkQyDeyIiIh/yJCZ3eBC5C4/2RERERE0Vg3siIiI/8yS4JyIiIpJhcE9ERORndocHhRj/ExERkQSDeyIiIh/ypFG+fUK49n68UBciIiJqvAz+rgAREVFTN7RzAp6/uTu6Jkf6uypEREQUoBjcExER+ZmiKPi//qnSMoLj8omIiEjCp93yc3NzMW7cOERGRiI6OhqTJ09GUVGRdJurr74aiqK4/N1zzz2+rCYREVGDx9ieiIiIZHzacj9u3DicPXsWa9euhdVqxaRJkzB16lQsX75cut2UKVPw9NNPOx+Hhob6sppEREREREREAc1nwf2BAwewZs0abN++HX369AEALFy4EKNGjcL8+fORnJysum1oaCiSkpJ8VTUiIqJ646356dlwT0RERDI+65a/efNmREdHOwN7AEhPT4dOp8PWrVul2y5btgxxcXHo1q0bZs2ahZKSEtWyZrMZBQUFLn9ERESNDbvlExERkYzPWu4zMzORkJDgejCDATExMcjMzFTd7v/+7//QqlUrJCcnY8+ePXj00Udx6NAhrFy50m35uXPn4qmnnvJq3YmIiLwlISLY31UgIiKiJqDGwf1jjz2GF154QVrmwIEDta7Q1KlTnf/u3r07mjdvjqFDh+Lo0aNo27ZttfKzZs3CjBkznI8LCgqQkpJS6+MTERF5U7uEcLw4+jLER5rqtB9vde8nIiKixqnGwf3MmTMxceJEaZk2bdogKSkJ2dnZLsttNhtyc3NrNJ6+f//+AIAjR464De5NJhNMprpdMBEREfnSbX3rftOZ3fKJiIhIpsbBfXx8POLj4zXLDRw4EHl5edixYwd69+4NAPjuu+/gcDicAbsndu3aBQBo3rx5TatKRETUaHRIjPB3FYiIiKgB89mY+86dO2PEiBGYMmUKlixZAqvVimnTpmHs2LHOTPmnT5/G0KFD8c4776Bfv344evQoli9fjlGjRiE2NhZ79uzBQw89hCFDhuCyyy7zVVWJiIgavDF9U1BQZsWANrH+rgoRERE1QD6d537ZsmWYNm0ahg4dCp1Oh9GjR+Nf//qXc73VasWhQ4ec2fCNRiO+/fZbLFiwAMXFxUhJScHo0aPxt7/9zZfVJCIiavD0OgX3XFV9eBoRERERAChCNK5RfAUFBYiKikJ+fj4iIyP9XR0iIiIiIiJq5BpCHOqzee6JiIiIiIiIqH4wuCciIiIiIiIKcAzuiYiIiIiIiAIcg3siIiIiIiKiAMfgnoiIiIiIiCjAMbgnIiIiIiIiCnAM7omIiIiIiIgCHIN7IiIiIiIiogBn8HcFvE0IAQAoKCjwc02IiIiIiIioKaiIPyviUX9odMH9+fPnAQApKSl+rgkRERERERE1JefPn0dUVJRfjt3ogvuYmBgAwKlTp/z2opJ3FRQUICUlBRkZGYiMjPR3daiOeD4bF57PxoXns/HhOW1ceD4bF57PxiU/Px+pqanOeNQfGl1wr9OVpxGIiorih6SRiYyM5DltRHg+Gxeez8aF57Px4TltXHg+Gxeez8alIh71y7H9dmQiIiIiIiIi8goG90REREREREQBrtEF9yaTCbNnz4bJZPJ3VchLeE4bF57PxoXns3Hh+Wx8eE4bF57PxoXns3FpCOdTEf7M1U9EREREREREddboWu6JiIiIiIiImhoG90REREREREQBjsE9ERERERERUYBjcE9EREREREQU4BjcExEREREREQW4RhfcL1q0CGlpaQgODkb//v2xbds2f1epyZs7dy769u2LiIgIJCQk4I9//CMOHTrkUqasrAz33XcfYmNjER4ejtGjRyMrK8ulzKlTp3D99dcjNDQUCQkJeOSRR2Cz2VzKbNiwAZdffjlMJhPatWuHt99+29dPr8mbN28eFEXB9OnTnct4PgPP6dOnMX78eMTGxiIkJATdu3fHzz//7FwvhMCTTz6J5s2bIyQkBOnp6Th8+LDLPnJzczFu3DhERkYiOjoakydPRlFRkUuZPXv24Morr0RwcDBSUlLw4osv1svza0rsdjv+/ve/o3Xr1ggJCUHbtm3xzDPPoPLkODyfDdfGjRtxww03IDk5GYqi4NNPP3VZX5/n7qOPPkKnTp0QHByM7t27Y/Xq1V5/vo2d7HxarVY8+uij6N69O8LCwpCcnIw777wTZ86ccdkHz2fDovUZreyee+6BoihYsGCBy3Ke04bDk/N54MAB3HjjjYiKikJYWBj69u2LU6dOOdc3qOte0Yh88MEHwmg0ijfffFPs379fTJkyRURHR4usrCx/V61JGz58uHjrrbfEvn37xK5du8SoUaNEamqqKCoqcpa55557REpKili3bp34+eefxYABA8SgQYOc6202m+jWrZtIT08Xv/zyi1i9erWIi4sTs2bNcpY5duyYCA0NFTNmzBC//vqrWLhwodDr9WLNmjX1+nybkm3btom0tDRx2WWXiQcffNC5nOczsOTm5opWrVqJiRMniq1bt4pjx46Jr7/+Whw5csRZZt68eSIqKkp8+umnYvfu3eLGG28UrVu3FqWlpc4yI0aMED169BBbtmwRP/zwg2jXrp24/fbbnevz8/NFYmKiGDdunNi3b594//33RUhIiHj99dfr9fk2ds8995yIjY0Vq1atEsePHxcfffSRCA8PF//85z+dZXg+G67Vq1eLJ554QqxcuVIAEJ988onL+vo6d5s2bRJ6vV68+OKL4tdffxV/+9vfRFBQkNi7d6/PX4PGRHY+8/LyRHp6ulixYoU4ePCg2Lx5s+jXr5/o3bu3yz54PhsWrc9ohZUrV4oePXqI5ORk8corr7is4zltOLTO55EjR0RMTIx45JFHxM6dO8WRI0fEZ5995hJfNqTr3kYV3Pfr10/cd999zsd2u10kJyeLuXPn+rFWVFV2drYAIL7//nshRPmPW1BQkPjoo4+cZQ4cOCAAiM2bNwshyj94Op1OZGZmOsssXrxYREZGCrPZLIQQ4q9//avo2rWry7HGjBkjhg8f7uun1CQVFhaK9u3bi7Vr14qrrrrKGdzzfAaeRx99VAwePFh1vcPhEElJSeKll15yLsvLyxMmk0m8//77Qgghfv31VwFAbN++3Vnmq6++EoqiiNOnTwshhHjttddEs2bNnOe44tgdO3b09lNq0q6//npx1113uSy75ZZbxLhx44QQPJ+BpOqFZn2eu9tuu01cf/31LvXp37+/uPvuu736HJsSWSBYYdu2bQKAOHnypBCC57OhUzunv//+u2jRooXYt2+faNWqlUtwz3PacLk7n2PGjBHjx49X3aahXfc2mm75FosFO3bsQHp6unOZTqdDeno6Nm/e7MeaUVX5+fkAgJiYGADAjh07YLVaXc5dp06dkJqa6jx3mzdvRvfu3ZGYmOgsM3z4cBQUFGD//v3OMpX3UVGG59837rvvPlx//fXVXnOez8Dz+eefo0+fPvjTn/6EhIQE9OrVC2+88YZz/fHjx5GZmelyPqKiotC/f3+XcxodHY0+ffo4y6Snp0On02Hr1q3OMkOGDIHRaHSWGT58OA4dOoQLFy74+mk2GYMGDcK6devw22+/AQB2796NH3/8ESNHjgTA8xnI6vPc8TvYP/Lz86EoCqKjowHwfAYih8OBO+64A4888gi6du1abT3PaeBwOBz48ssv0aFDBwwfPhwJCQno37+/S9f9hnbd22iC+5ycHNjtdpcXDQASExORmZnpp1pRVQ6HA9OnT8cVV1yBbt26AQAyMzNhNBqdP2QVKp+7zMxMt+e2Yp2sTEFBAUpLS33xdJqsDz74ADt37sTcuXOrreP5DDzHjh3D4sWL0b59e3z99df4y1/+ggceeAD//e9/AVw6J7Lv18zMTCQkJLisNxgMiImJqdF5p7p77LHHMHbsWHTq1AlBQUHo1asXpk+fjnHjxgHg+Qxk9Xnu1Mrw3PpOWVkZHn30Udx+++2IjIwEwPMZiF544QUYDAY88MADbtfznAaO7OxsFBUVYd68eRgxYgS++eYb3Hzzzbjlllvw/fffA2h4172GGj1Dojq67777sG/fPvz444/+rgrVUkZGBh588EGsXbsWwcHB/q4OeYHD4UCfPn3w/PPPAwB69eqFffv2YcmSJZgwYYKfa0c19eGHH2LZsmVYvnw5unbtil27dmH69OlITk7m+SRqoKxWK2677TYIIbB48WJ/V4dqaceOHfjnP/+JnTt3QlEUf1eH6sjhcAAAbrrpJjz00EMAgJ49e+Knn37CkiVLcNVVV/mzem41mpb7uLg46PX6apkJs7KykJSU5KdaUWXTpk3DqlWrsH79erRs2dK5PCkpCRaLBXl5eS7lK5+7pKQkt+e2Yp2sTGRkJEJCQrz9dJqsHTt2IDs7G5dffjkMBgMMBgO+//57/Otf/4LBYEBiYiLPZ4Bp3rw5unTp4rKsc+fOzkywFedE9v2alJSE7Oxsl/U2mw25ubk1Ou9Ud4888oiz9b579+6444478NBDDzl72vB8Bq76PHdqZXhuva8isD958iTWrl3rbLUHeD4DzQ8//IDs7GykpqY6r5FOnjyJmTNnIi0tDQDPaSCJi4uDwWDQvEZqSNe9jSa4NxqN6N27N9atW+dc5nA4sG7dOgwcONCPNSMhBKZNm4ZPPvkE3333HVq3bu2yvnfv3ggKCnI5d4cOHcKpU6ec527gwIHYu3evy5dhxQ9gxQdu4MCBLvuoKMPz711Dhw7F3r17sWvXLudfnz59MG7cOOe/eT4DyxVXXFFtesrffvsNrVq1AgC0bt0aSUlJLuejoKAAW7dudTmneXl52LFjh7PMd999B4fDgf79+zvLbNy4EVar1Vlm7dq16NixI5o1a+az59fUlJSUQKdz/XnX6/XOFgiez8BVn+eO38H1oyKwP3z4ML799lvExsa6rOf5DCx33HEH9uzZ43KNlJycjEceeQRff/01AJ7TQGI0GtG3b1/pNVKDi2NqlH6vgfvggw+EyWQSb7/9tvj111/F1KlTRXR0tEtmQqp/f/nLX0RUVJTYsGGDOHv2rPOvpKTEWeaee+4Rqamp4rvvvhM///yzGDhwoBg4cKBzfcUUEsOGDRO7du0Sa9asEfHx8W6nkHjkkUfEgQMHxKJFizh1Wj2pnC1fCJ7PQLNt2zZhMBjEc889Jw4fPiyWLVsmQkNDxXvvvecsM2/ePBEdHS0+++wzsWfPHnHTTTe5nX6rV69eYuvWreLHH38U7du3d5naJy8vTyQmJoo77rhD7Nu3T3zwwQciNDSUU6d52YQJE0SLFi2cU+GtXLlSxMXFib/+9a/OMjyfDVdhYaH45ZdfxC+//CIAiJdffln88ssvzuzp9XXuNm3aJAwGg5g/f744cOCAmD17NqfZqgXZ+bRYLOLGG28ULVu2FLt27XK5RqqcJZ3ns2HR+oxWVTVbvhA8pw2J1vlcuXKlCAoKEkuXLhWHDx92TlH3ww8/OPfRkK57G1VwL4QQCxcuFKmpqcJoNIp+/fqJLVu2+LtKTR4At39vvfWWs0xpaam49957RbNmzURoaKi4+eabxdmzZ132c+LECTFy5EgREhIi4uLixMyZM4XVanUps379etGzZ09hNBpFmzZtXI5BvlM1uOf5DDxffPGF6NatmzCZTKJTp05i6dKlLusdDof4+9//LhITE4XJZBJDhw4Vhw4dcilz/vx5cfvtt4vw8HARGRkpJk2aJAoLC13K7N69WwwePFiYTCbRokULMW/ePJ8/t6amoKBAPPjggyI1NVUEBweLNm3aiCeeeMIlWOD5bLjWr1/v9jdzwoQJQoj6PXcffvih6NChgzAajaJr167iyy+/9Nnzbqxk5/P48eOq10jr16937oPns2HR+oxW5S645zltODw5n//5z39Eu3btRHBwsOjRo4f49NNPXfbRkK57FSGEqFlbPxERERERERE1JI1mzD0RERERERFRU8XgnoiIiIiIiCjAMbgnIiIiIiIiCnAM7omIiIiIiIgCHIN7IiIiIiIiogDH4J6IiIiIiIgowDG4JyIiIiIiIgpwDO6JiIiIiIiIAhyDeyIiIiIiIqIAx+CeiIiIiIiIKMAxuCciIiIiIiIKcAzuiYiIiIiIiAIcg3siIiIiIiKiAMfgnoiIqI727t2LW2+9Fa1atUJwcDBatGiB6667DgsXLvRrvUpKSjBnzhxs2LDBr/UgIiIi31OEEMLflSAiIgpUP/30E6655hqkpqZiwoQJSEpKQkZGBrZs2YKjR4/iyJEjfqtbTk4O4uPjMXv2bMyZM8dv9SAiIiLfM/i7AkRERIHsueeeQ1RUFLZv347o6GiXddnZ2f6pVC0VFxcjLCys0R2LiIioKWC3fCIiojo4evQounbtWi2wB4CEhATnvxVFwbRp07Bs2TJ07NgRwcHB6N27NzZu3Fhtu9OnT+Ouu+5CYmIiTCYTunbtijfffLNaubKyMsyZMwcdOnRAcHAwmjdvjltuuQVHjx7FiRMnEB8fDwB46qmnoCgKFEVxtuBPnDgR4eHhOHr0KEaNGoWIiAiMGzcOQHngPXPmTKSkpMBkMqFjx46YP38+qnb2Ky0txQMPPIC4uDhERETgxhtvxOnTp12OAwBz5syBoij49ddf8X//939o1qwZBg8eDADYs2cPJk6ciDZt2iA4OBhJSUm46667cP78eZdjVezjt99+w/jx4xEVFYX4+Hj8/e9/hxACGRkZuOmmmxAZGYmkpCT84x//0D55REREjQhb7omIiOqgVatW2Lx5M/bt24du3bpJy37//fdYsWIFHnjgAZhMJrz22msYMWIEtm3b5tw2KysLAwYMcN4MiI+Px1dffYXJkyejoKAA06dPBwDY7Xb84Q9/wLp16zB27Fg8+OCDKCwsxNq1a7Fv3z6kp6dj8eLF+Mtf/oKbb74Zt9xyCwDgsssuc9bHZrNh+PDhGDx4MObPn4/Q0FAIIXDjjTdi/fr1mDx5Mnr27Imvv/4ajzzyCE6fPo1XXnnFuf3EiRPx4Ycf4o477sCAAQPw/fff4/rrr1d9/n/605/Qvn17PP/8884bBWvXrsWxY8cwadIkJCUlYf/+/Vi6dCn279+PLVu2QFEUl32MGTMGnTt3xrx58/Dll1/i2WefRUxMDF5//XVce+21eOGFF7Bs2TI8/PDD6Nu3L4YMGeL5ySQiIgpkgoiIiGrtm2++EXq9Xuj1ejFw4EDx17/+VXz99dfCYrG4lAMgAIiff/7ZuezkyZMiODhY3Hzzzc5lkydPFs2bNxc5OTku248dO1ZERUWJkpISIYQQb775pgAgXn755Wp1cjgcQgghzp07JwCI2bNnVyszYcIEAUA89thjLss//fRTAUA8++yzLstvvfVWoSiKOHLkiBBCiB07dggAYvr06S7lJk6cWO2Ys2fPFgDE7bffXq0eFc+nsvfff18AEBs3bqy2j6lTpzqX2Ww20bJlS6Eoipg3b55z+YULF0RISIiYMGFCtX0TERE1VuyWT0REVAfXXXcdNm/ejBtvvBG7d+/Giy++iOHDh6NFixb4/PPPXcoOHDgQvXv3dj5OTU3FTTfdhK+//hp2ux1CCHz88ce44YYbIIRATk6O82/48OHIz8/Hzp07AQAff/wx4uLicP/991erU9XWbpm//OUvLo9Xr14NvV6PBx54wGX5zJkzIYTAV199BQBYs2YNAODee+91KeeuPhXuueeeastCQkKc/y4rK0NOTg4GDBgAAM7nWtmf//xn57/1ej369OkDIQQmT57sXB4dHY2OHTvi2LFjqnUhIiJqbBjcExER1VHfvn2xcuVKXLhwAdu2bcOsWbNQWFiIW2+9Fb/++quzXPv27att26FDB5SUlODcuXM4d+4c8vLysHTpUsTHx7v8TZo0CcClJH1Hjx5Fx44dYTDUfoSdwWBAy5YtXZadPHkSycnJiIiIcFneuXNn5/qK/+t0OrRu3dqlXLt27VSPV7UsAOTm5uLBBx9EYmIiQkJCEB8f7yyXn59frXxqaqrL46ioKAQHByMuLq7a8gsXLqjWhYiIqLHhmHsiIiIvMRqN6Nu3L/r27YsOHTpg0qRJ+OijjzB79myPtnc4HACA8ePHY8KECW7LVB4zX1cmkwk6Xf3d56/cSl/htttuw08//YRHHnkEPXv2RHh4OBwOB0aMGOF8PSrT6/UeLQNQLQEgERFRY8bgnoiIyAf69OkDADh79qxz2eHDh6uV++233xAaGurMbB8REQG73Y709HTp/tu2bYutW7fCarUiKCjIbZmadM+v0KpVK3z77bcoLCx0ab0/ePCgc33F/x0OB44fP+7SI+HIkSMeH+vChQtYt24dnnrqKTz55JPO5e5eJyIiIpJjt3wiIqI6WL9+vdsW4tWrVwMAOnbs6Fy2efNml3HkGRkZ+OyzzzBs2DDo9Xro9XqMHj0aH3/8Mfbt21dtn+fOnXP+e/To0cjJycGrr75arVxFfUJDQwEAeXl5Hj+fUaNGwW63V9vvK6+8AkVRMHLkSADA8OHDAQCvvfaaS7mFCxd6fKyKFveqr9+CBQs83gcRERGVY8s9ERFRHdx///0oKSnBzTffjE6dOsFiseCnn37CihUrkJaW5hwrDwDdunXD8OHDXabCA8rnoa8wb948rF+/Hv3798eUKVPQpUsX5ObmYufOnfj222+Rm5sLALjzzjvxzjvvYMaMGdi2bRuuvPJKFBcX49tvv8W9996Lm266CSEhIejSpQtWrFiBDh06ICYmBt26dZNO2XfDDTfgmmuuwRNPPIETJ06gR48e+Oabb/DZZ59h+vTpaNu2LQCgd+/eGD16NBYsWIDz5887p8L77bffAHjWayAyMhJDhgzBiy++CKvVihYtWuCbb77B8ePHa34iiIiImjgG90RERHUwf/58fPTRR1i9ejWWLl0Ki8WC1NRU3Hvvvfjb3/6G6OhoZ9mrrroKAwcOxFNPPYVTp06hS5cuePvtt13G0ScmJmLbtm14+umnsXLlSrz22muIjY1F165d8cILLzjL6fV6rF69Gs899xyWL1+Ojz/+GLGxsRg8eDC6d+/uLPfvf/8b999/Px566CFYLBbMnj1bGtzrdDp8/vnnePLJJ7FixQq89dZbSEtLw0svvYSZM2e6lH3nnXeQlJSE999/H5988gnS09OxYsUKdOzYEcHBwR69fsuXL8f999+PRYsWQQiBYcOG4auvvkJycrJH2xMREVE5RTDbDBERkc8pioL77rvPbTf6xmTXrl3o1asX3nvvPYwbN87f1SEiImoyOOaeiIiIaqW0tLTasgULFkCn02HIkCF+qBEREVHTxW75REREVCsvvvgiduzYgWuuuQYGgwFfffUVvvrqK0ydOhUpKSn+rh4REVGTwuCeiIiIamXQoEFYu3YtnnnmGRQVFSE1NRVz5szBE0884e+qERERNTkcc09EREREREQU4DjmnoiIiIiIiCjANbpu+Q6HA2fOnEFERIRHc+wSERERERER1YUQAoWFhUhOToZO55829EYX3J85c4ZJfIiIiIiIiKjeZWRkoGXLln45dqML7iMiIgAAfa57HIagYPeFJC36tmB5a78jSH19aJZVvq1BfduQzYek2+aM7qa6Tm+Rp02I2XZOdV1B11jptrZQ9btOwedt0m2F5PnKXgsACCqyq66zhuul2+qs6q+HJUJ+Fy3yaLHqOmGQbytbX5iq8l68SGdTr7PQyV+r4PPq7ztDifwcGfKqT2NVIffyGOm2Osnb3REk3RTRK35R329YiHTbgms7Suok/yyYm6mfI2O+Q7pt6Oc/q9dpbD/5ttnqL5YtRP5+NpSofxZKEuUvdMSpMtV1Wu9JU576ce1G+XvSHqz+OhtK5a+z7DsnRPI6lm+r/lqao+WfX9MF33znaB1X9v0tqxMAWCPU62Uokb/ODr36OVQc8s9RaKb6+6o0Uf6+Cj9WoLour0uUdFu9Wb1eOvlLBX2ZRgEJa7j6pZLdJP8smPLVj2uO1nhfSZ5v5OF86bbn+jVTXReRIf8c6Wzy946M7PtMaHSmlH3OdBrXOWGfblddV3C7/Ps5OEf+OylTFqf+3tCXyutsylc/bmmC/LtdSL5WDMXy82eQvK+0mM6pXzPkdQqXbhss+T4z5lmk2xa3UP9e0ZfJn481XPK7XyD/XlAku7aGaVxPHipUXyn5/gWAkuRQ1XVa18+yOmvFOEGS907o2RLptqVJ6nU2lGr8loWpf46CiuWfz+Iko+o6h0aUG3JeUi+Nj4lQOYc2axl+/uY5ZzzqD40uuK/oiu+IC4Pd6P7LQHaBEKzxJVEapf5h1oXIX05HiOSL4PKu0m0NepP6Oq1eH0lx6nWKlQdSwYWS1yNKvU4ApBkdQvI0fkwN6j9slij5j56+UP3DGiL//YAjXv0cmmPk51f2pWgIkl/E6e3qr7PshhIA6EPUXw8hP70wJ0SqrjPo5XU2SoI04ZDXueyWAer7lVzwAIA+WP08KBo3FQySH1RdqPyzbxk9WHVdkMYNGHus+mclWOOzYItU39Zk17jhFC258DRqfF9J7vsZJTffAEAvuVFiC1X/IQYAEaT+nOxx8u8cnSQoNWpFFuofBQRrXAzLLrTtGp+jYLP6axVcIv/CsuolQafGDRid5D1rKNO4AZOsfqGt9Xtkbqd+DiM0brCVyAIeyQ1SANAL9fdsmcZ3u+zmKzQutB0x6tsaNL43jJIbe+Z28dJt9UHqz8mWIP8Mym7slUp+IwEg7Iz6jQOtm2QK1F+P8NPqN94BoPSmK1TXBSkab8pI9ddD66aRziS5JpRFWQAgJO/3MI2bvpKvBkUjprBJ7qFp3UAVseqvlVHjBzg8t0h1XXFL+Y09SBpmDHb594as4cWufnkMAIj99rjqurwhadJtLW3Vv+sUyTUfAERKAum8zvITHCS5YWE0SzeFkPxuWFvKb9wqkm0VyM+RUdLoqtfJv3NCS+WfFRm9Q7Kt1tBulZdZ73Bc3Nx/Q8OZUI+IiIiIiIgowDG4JyIiIiIiIgpwja5bfgWHHlBUeluEyMbYaPSi0sm6wWp1zZWMzZONNwHkY2i0ulGVJKl3DZJ1JwXkdZZ1QwcAi2Sck9Y4ctlYJq0xNHZJN7mQLHmfpJLm6q+VNUTj/BrVu/fIev6Uq30uB9n4Ztm4WkDe5V8rl4Ne0i1fszei5H1niar98Ae7xhAGU74kt4HGayXL16CXnyI4JL1gtcZWysYE6jS69snGoBuL5J9fc6Sku6nkMwbIP992jTF/4b+rf0YLW2kMBZJ8jrS+2w2S8bHB5+Xd42XjjLXGZcq6wNskY70BwBwlGaOs8d6QjVMtjZV/YYWfVn/Da32OZOPMtX4XZLkAwjPU8wAAQFGKepdSrd/BkBxZV3P5ObKGqj8nrePqJe8Nzbw1kvez5u+vpPu81ugWWZ4X2fh0AAg9q/45K24VJt1WludF67tO9rshHZIB+Xe/1u+grMt/SK5GnSVdoLXGVQvJx9vcTOMcZaqfI61rUbtkCKHW9aRZMiTWlCc/rt4s+36Wf9cVDGyluk7z+lnyvora8bt02wtDUiX7lR9X9h2rlZdI9jsou9YE5O93oXFtZpXk2tFrDDGT/cZqviclz0nRSD2i9ltnt/q/3dz/NSAiIiIiIiKiOmm0Lfc6G6A2vaAsa2NxsrxlKDhXfVut1lnZXSC7LNmexrZmSdIsABCS1eG/ayRPkdzh17oLL7vDL8uIrUUr06tekqDKGim/5SnrqaDTygEoaQnTyqhcl7ulQfnq51DWWgUAkcfUk7YUpcqz8Zmbqb/hg0o0WpQlLQtarQ7GAknyQY3WLGOhpFUpRv7eCM1R/+xrtWbJkucUJcuPq7NIesBofIPL3ldaLcparU4ysn1r9QjRmdVfZ0UjuZXsvaPVAidr6bab5F/u1gj1EyHLEA3I3ztareCymQf0Wi00kqSIpZIEkADg0Oi5IRN5RD2pVmlz9WzLgEaytgiN7OKS11KrZVfGeEHeq0NnkSRp1ciWbyhSf77FLeXfz9Is/ZG1T0BlKpC/VmXx6u8dzSSPFvU6ayV5tEqS5mll2pedQ9nzAQCjJIGv5kw3Z9WTBDo0Ep7mdZJ/VmRk1ypaCXxLmku6oWn8Zsi+v4MvyK9FZT1RShJrnyBS631lkXxWZMm5tdhbyGeqskueUuxu9RlHAOB8T/XssHqNhHqyXhBayawNxbWfkcQm+U3RakGXxV6yeAAAbJKeG7IeLoD6db1N4zq0PrDlnoiIiIiIiCjANd6We6uAXuU2YlEL9TuxWq1KdRnLIhsTWCyZWgiQt/5ojguR3ERyGOX3d2QtcFrP1yhrOZC0+gIaY3fqMF5Qa+5nWUun1h3AsKN5quvyesjv0srGksrmOQcAs2RqGq355vPbqd/9Dzsrv5NeLGlxtkRoTN8nu+OtNftIHcZIWSLVv/LCTsvH7EpbpDRaOyyRkpwK5+RdQoJzJONQNb43ZGMCNXsaSd52WtP4yMaSBmlMo1faXP05yVrJAMBQJpnySN64I81PodV7RtYzR681/abkLr9sHCIABJ9Xf+9oTTsW8u1e1XWm2B7SbUP3Z6muuzCwuXRbS4T6XNhaLWGyfBxa3+2y30GtFqeyZurfdaFaeVwSJfM3F2lcb8imftT4npS1hGnlrTFJpiTU6h1lypW0gjeTf19ZYtSfr07j9ze4THK9ES3/ITRlqregG8Lk21oiZFNpSTdFWYL6769Fkk8D0OgtpnFcad4ajWtCvaX2OW8ckp4bWj3njJLWd6vsHEDe+q71Wya7NtPa1ibJ01SaKP8syOZfz+8kmbcVgFEyhXWQxvekTZL/S+uaQfY7qRUvmCRTIMuu2wDIU+1ofF/JzqFWzzlFpcpqy+sTW+6JiIiIiIiIAlyjbbnXmwX0KnfcZHfTNFtZJHeuhKLRoiwZEyi7O1i+c9lx5ZvK7lpqZRi2hklaKzXGkcvGZRoLaz/OSev5yu7iGSV3BwF5TwatPAHmZPW7qVpZVWUtdA5D7bOpa71WsjutWjkVpJ8FjTv4svOvNeavLFq9ztGH1HMIAIA1Sr35Vis/gSzrqtDIe6GzqT8n2XsdACwR6mNrtVqyZe/ZYElLCCBvydb6LISdVm/NNBTJv2SLU9WzYtclV4cWWcuB1lhSUYcM8LKWUK2eZIUp6t8NYVny77pzd/ZSX6nxfM1DW6iuC87TaBmS/P7qNGadqFMri+Q3ViuHgKwnWUGa/HtD9py0xhnLegxojV+vy3jgkLPq36MF7dV7XgDy86B1faWXtL7LZv4A5DM8aL0Wtujaz6Qge1/ZNHIpOWLUfze0vtsjj6ifo7zOEdJtgyS5ZxwavRxkveO0frtl34U6SY8AANBbJT0GbBqfX8n3hlYPJ9mMFVozv0hnjdHoISHr/Rh6TuN3X/K+k81iBcjzuGj9/gq9pJeDxkQ3ss+ZVr4cWeyll8zeAci/YyOOFcq3TXTf80ax1j73gLew5Z6IiIiIiIgowDXelvsyB/R2lTtQkltEsjlpAUhbhZvtl2ewVLvLAwBhp+QtjiJIvc5aWXNlLayFqRpj/SWte8Uad9Jl4xi1MvzLxpJqtXTKzqHWnWVZbwStlhIhGRckG8sPADrJXWnZ+GUACCpQbw5RNAbdl8haFjRaHA2Soab2oDq0Gp2Tt2aVSnoU2DQyZsvOv1YmdrNkTKBWjgHZnXatcWyy97tD8r0AyN+z9iD5gcMy1c+DVq+dkiT1HhKGMo33ZELte+3IxhI3X5cj3TZnoHpeDK3vDbNkCKRI1TjBsvQTGjkkrJJG1MK02v+8a80MEiRp0LBEaDV1So5r1TjBalPgADDmy79zZGNYteosa33Xymsiy04tazUC5DM42DS+n4MkLXCy724AKGmhfq2iNa66WJZNXYOsNVOrpVPW00in8RGUZYDXer4hOeofFq2WTlmLcm4HjdmIOqt/6Rjll6LI6qN+3ac1XjhIPT2B5kwKYWfU33iy3wxA47Oi1UNRch6ijkieEIDz3dS/ZGXfKQAgtOIJCVkvl7x28vdGSI5kzL3GzCCynmRav0cRR9TfeKUt5T1+bJJepKGnNXpkhqrvW6tHlzVcfX1xqrzOQSoxjux7u76w5Z6IiIiIiIgowHm15X7jxo146aWXsGPHDpw9exaffPIJ/vjHPwIArFYr/va3v2H16tU4duwYoqKikJ6ejnnz5iE5Odm5j9zcXNx///344osvoNPpMHr0aPzzn/9EeLj8DkpV5mZ61ZYp2ThG2XhAQD5/d57kTiognzPRESRvfZeN3dEaEyabw7c4SWO8kbn2939K49XfXppZkSWtlcG58pZdW4j6HWDN8a+SllDZ2HZAI7fBqVLptmUJ6nfSZXMdA0BRK/X3jlYruKzVKeqoPB9DSaL6ICqTxtzexjxJRmXJawHIW9G0sqrKPitanyO75I62rNVIa9+yMW4AEHxOvbVDGDTG7bWVvK80epPIekho5eooTVB/b2h959glY/O0Mt7LvmMzr4mTblsmmdBCa27g0mT1c2jK0ZiRJEIyjlzrPRkqee8YNFoPHJL3rCRHBKCRt8asMZe5pGVQq/eMrOeG1ne7zq7+5gjRmLFC9lum9TmK3ntBdd25/vJZVEJyZVNWSDdFcaL6843dJW/aLWqtPmZbdj0ByHOiaGXal16SCvnrLM31oLGtrHec1rWKrFeP1lhhm6QHlFn+1tDMTyFTFi9p2S2sfWuzSaPHgCwjvlbPSJNk1qDSOI2uGRLFLeTX3rJzqNfIAG+X5GPQ6v1WFlP7a/6SBPVtDRozC8hm8ND8nmyhHqfJZu8AgNCz6tcUBe3k8Z/sM2oNl/eOqstYf7XrTZvV/53ivdpyX1xcjB49emDRokXV1pWUlGDnzp34+9//jp07d2LlypU4dOgQbrzxRpdy48aNw/79+7F27VqsWrUKGzduxNSpU71ZTSIiIiIiIqJGxau3F0aOHImRI0e6XRcVFYW1a9e6LHv11VfRr18/nDp1CqmpqThw4ADWrFmD7du3o0+fPgCAhQsXYtSoUZg/f75LCz8RERERERERlfNr34H8/HwoioLo6GgAwObNmxEdHe0M7AEgPT0dOp0OW7duxc0331xtH2azGWbzpT6TBQXl/YIcQYpqNx+DpAuHVlensN/Vu47kdlZPQgMAYdnq3YqMeRpdzUPVT5U5SmsaLsl+5T2SpIkhjPJZIqTdjgylGtNwSZLnFGskXjFIhk6UxcpfK+mQDY0EgkElkuEPGkkPZcpi5d2KZAl/ShJq3yVJ1u0e0E4kJWOXvJ9DT8nfWBe6R6mv1OiJLOt+qTUdpez5GovlXVVl50hoZHsqjVc/sFYyPhmt5Diy90ahZCgIIE+IaZZMG1d+YPVVml1RJduWJsg3dUi+VizRGu8NyVMqTZZ/1+lLZGNFpJtCSBJXKhrJ6RS75D2p0aVfSLpXW03yN1ZQgfrz1Wk8X1m3fa1ki+ZISZ1DNBLbSbpnGuUjVHChZ4z6Sq06R0kSzGl069VJfsvyO8mHEFokSabCsjR+uyXvDUOZVjd19XVaXb6DimTT6NU+8ahsqE85WdLS2ne9toVpTA1XKnlvBGt0Fw9R37cxT/6EbZIe0mbJkAxAfm0mWwfIp3fTSgAaLBneotPoWi+bBrOkDsMBtN5X0u7iGlNKWiUfb5s8TJEmNdWbNaY5lSTp1U7CKxtCKD+uLHm3Vqyhk3Sh10q0qjYUzK4xRKw++C2hXllZGR599FHcfvvtiIwsfydmZmYiIcH1CsxgMCAmJgaZmZlu9zN37lxERUU5/1JSUnxedyIiIiIiIqKGxC8t91arFbfddhuEEFj8/+z9eZCn+VXdCZ/fvuWeWZVZa3d1q6VuLahByJIQzLD0WGCbYdF4Xr0jR8g2ARNYwhaaGMZyAONRYGSIibFCDAjb4cAQRnaMJ8J4mbD8YgFibAshhIS1d0td3bVmZlXl+tvX948OtaPtvp+DMlvZquKeCEWo68nv79m+23PPued+4APH+q13v/vdete73vXsfx8cHOjChQsqzOKIG5ZMMYY+ew/FjBVF+KRnyvNFOLyPTcTIyM+WAQFGikopSdLhhTgSt/gkh0tLEAF0RhWlITB/C8zco9mTidKSWZ8r8UNmfM4oqrEdh2I755hBJ0OnIbBVEvcr15/pvK78SPVWXNrk8CFg5sUsqWWG6vF1NW9zdJgY9rmn2TCxtx6P71Hr6OWSCgVT2hEYqVELm6p1A0rhQdkaSdp7acyEOjMgOj5Y5rbUZ90YJJZ8umSoIUCxxm0npfhZFVssVSjswtzQ4vPOuuTwik1V7kK/AoNAiVnFUt+UlNyKjw142sC1rrbPbaks1ah1dJbGsYY0f495y6DVz8cd3s05xL4fnmPKkcZv7dAZ2x3dRIwUQc6srQ4GsFSaU2IFlDMQJIZ1VjJrGTD7ztRyVqW1G5viexia/SSphZxR44z8Es1+gwz3Kh2jyvoafSXNzNpNz9mr0EghcfT5ihRbktRbiZ+z20/SN4FT3lQO4/Hryn3TN5/rV1HfMCLQE8GJf9x/5cP+6aef1m/91m89y9pL0sbGhra3t5/z9+PxWDs7O9rY2Hje36vVaqrV+OMnkUgkEolEIpFIJBKJexkn+nH/lQ/7J554Qr/927+t1dXn1vp4wxveoL29PX3iE5/Qa17zGknSb/3Wb2k6nep1r3vdV3WuwiRmaih/w+VY8DmPEa4xwbQysP7jhomkQ/TJ5twD+TNYdBFtKANSNbnvkNvj2Fl6D46xKHXiGy73TO47EPtL//5pbLv/LfeFx1w5O5dXT5j/Uif+3fOcnNXYjJNNh8uschiuxr9dHJn89Xrcd6pQxkUy5bLM8KWczsEaBxhpDLpcf2KGKibXv0+RdCqFJqm7EferwaLLJYWDZq5r3YBrup/HQukA+sYBn3i4HD9Lx74XjpHgVoByo611rsFXXIgVI/0hzwsDxX12BgybJBWgrJzN14fDQ8O+T0B5U47FQM+cF5Yrp2IhBnb+GktCuqfiE3efn7N4FqQ2cWt3ZyMeC471p3V/GFfJkySVwYNgaNbfxSfj/k4+PBL76VQPeZ4kZtflc6MqwFWjpMp/deNdMRfLScb7hvACGtUx1bW4sqNGpm9U2/Exl5NN79CqHGDeGM7zeUm1MwfqNolL87ox2INyduM5I60CzIyqY/kL8URKefESz7HOU4FKSh7n24q8sCT2NXFlMIvBZmZ2dKHfC4YX9OO+3W7rS1/60rP/ffnyZX3qU5/SysqKzpw5o//uv/vv9Id/+If6V//qX2kymTybR7+ysqJqtapHHnlE3/3d360f/uEf1i//8i9rNBrpHe94h97ylrekU34ikUgkEolEIpFIJBIBXtCP+z/4gz/Qd3zHdzz731/JhX/b296mv/k3/6b+xb/4F5KkRx999Dntfvu3f1vf/u3fLkn69V//db3jHe/Qd33Xd6lYLOrNb36z3v/+93/V1zIrxjkr5Ijucu4FEZnWDbaw3H8gjqbSNUnsBDwxxO3KZ+Nw6a1vZsqivBVHtZyDJT3L4ZxzoYyPU4RPYpbFudcevCRmlB1LuvBkzKJ1v5GNHom9bZ/lF0z5gn1wL5Wk3rn4focLxmG4FlNHLj9SAubPOY3CUOmv8InJQbpgfCB66/F0ufyFWAEhSe0L8XNe+uRtbLvz2lPhMcd2UCTdueX3wMnZ5WVSZYEpOLxL0s43xBdWGB6dIu+fMpP7PJUV4RuuNuO5f2BYtMJCzP4MhrxEN+rxeUtFMz+DymFq2PcBPcujk0qYCyxJhR7M7YYJq+3Ex5z3DM05o6Zj/oAlNesRVg8w02Qblpy5K9yWfpvc0iXOrbXqCli7Xb7v4hfjKiu3vpmrAxBD56ow0Frn1kFiwQuPcBmGejWeNw7HxlMBvDpIwSRJw5X4WdVvHd2PoWfWboLzVGCfLZ5zysD8ur0K+XG4a0ZljlP6tqGSgpljN18f71VOfYq/caZVquxj7hcqdDjlTX8tXssaW6yu6IPK1PkERHvG6XFU3C8QXtCP+2//9m/XDDR3dOwrWFlZ0Qc/+MEX8rISiUQikUgkEolEIpG4p/Gi1rn/WmJWitml4QI4ZxrHTqrjeXCJ84xn8LSLbLatDrCGrt54F9hZctWUOBfRMX+N63GYfvgyF/6HY9Z1Mz5W3+FkmO5pytvj8/ZPxdSRc80lBtZF/8ml34Fy0eiYxK71lKf2x/ltAuWhukgrVVIYzR3dFZmYeUmqHsT97uCVa9iWWKWBUVfUd6CtyZsndn5scpTH88B2VM3EQbmmru77PETpu7zcFaDzzNrctr4cn3flPNOVXciN7w94cj/YB+8Kk4c6aYJComLeETntG9Z/CjW2BbW7JWmwGg/+6i6P3+7Z+Loqxo9hgiyaYe+A2Z84L2B4lOOmK88D3jPGW4iui7xlJKkAz6rEZLTa547uH9NbjRO+aa2SJBAKqrnNip/2GcirNjXFDx+Kf7tplDeE6cTsCWh8Gy+W4+zNqO+4aiYD6LO1A5dXDazw7aPXuW98FgxiJB1cjL2U3Nin9Xc2x/vYMXzaFaCKlcS+Jx2jIiU1gqsMQnn1br9I76i3ztdM+zpbYecFbvdC4kWrc59IJBKJRCKRSCQSiUTihcE9y9wfFcTsWbhAOjBwLrJM7LzL1z88TxSriQACQ9c29W4HizE772qLUq4S1WaX2O2VauFKnPvufAIod8s53o8b8Qt2bDQyQy6vCyKitX2OhlO+qKtoUNsH53nzjuia6zscMh3BO3Suuc1b4G0ArvTP/Hb8ft2zcv2dQBFk54pcARuBzkXTNxrxiQuGuS9VqfCsYVghJ79IrL6k6RB8IMw1l0vAgpsBPF+PHcJn5n6nwLI1Gyyf6Zfj5zz9MiurCg/EnaOAieLS+Eq8qMxOc3UAcvEfkiLAtJ3UTRUVUBQMIVdUYnf58TKvv1NQSEydAgYuq89iIRVhqJSNynAKjKRT/NT24XcNqY8KN7Oto3WSqg5IrOpw+7oZMOg0pzgUd4+ugCidMS/4y/FLdBUcaM05/Uleu2n/5dSNdNz5XlS348Fw8Dr2UiL61Pl8kCN+c4nf0agFzP3jPAjpHTVu8XzVARWL8+mhOcd5C7W24uvqQiUMSSrBed33YLjfNBWfTgLJ3CcSiUQikUgkEolEInGXIz/uE4lEIpFIJBKJRCKRuMtx78ryZwpl8lQOa+KMvkBx6OTTaJBhTkuSFTomsYyuMOD4DkmDJlVuW4b7HTkpIxx3Eh1KU2jcYenX4XkoqXGbJUn95fiGDy8Ys0W4JVdupQid0hl7YAkgc97aHsjU4VlI0mwxPl7bNzJ1KEk4bhijKJBf1vacmSbItt20AWVgnLEOyfKdzJXmM2s+CGZQM2PWViBTpo4xtqvF42xiSjwJjKSKdSOB7sVjtLTIEvcymF91Bjz2J9P4mkcjHkeVSjwGnaT/7HKsgT54Fcvju/34nvpt7tCls7AggXRekgpQRtEJIWuQljHqs/MZmQ9Sqo8kDVbgYJ0n6GkNZNtbLL0eLce/7cz4qvvxe2jcwqYaLMFBN+fQfOWyEKAaU9EYvKLZsTECq9+Jj936Jj4vPY96heerAZTnnK3yDVdgjnXzBvWr6m2z7sNz7p7itnM34msetXgMomma6VeH52FdMHtvLGFtSnfOFuL7bdX4/R7CmjJY4Buu7sF6ZEyHG7fjvtFb5bb0TbD8BV6PyDTPvd/qQXzNZGQuSd3Tz39PE0jxOykkc59IJBKJRCKRSCQSicRdjnuXuS/Imqg8H0bGQKE4BpbURIioRJszmOutwnU51hBCOLMWMweFdhyBKhpWmO53sOBKw8XHShzEw/sdNY8ez2qfNeWwgPm1ZeWM8R1hAmX2SKUicYk+F1lubcYdgBQQEvd3Z2JCigJbyhLKYJYH3La3BiY1rjwjsD/WtOWLcf2o9hljjgOksVP8jOH9F8G4TpJmYC5ZHBiTxyb0HVOSTk1gKwemLbDG0z63LUIH2N9m56TVMwfhsa5hwcstMxkCxjBRkhJBkpr1mDlqNfia7tyKHebKRl1BJoEHm+BcJ6m+DKVZjTldsRfPG/1VbKoZqA2cUkGj+B05gzmak4pDw862QP1mmF1isslcUOI1x5XRozW2cceYPJq1jtA+C8/DmOKV5+JJeK/N7nSLrVgBs7wMbqiSDjvxDY9u88Og/jwyrHCpHz+rwbJb9+M5eP4azxvEY1IJNkkqQKnL4xhhu/FLJQlH5sQl6Hc4H4n3z850eB72wAVzzXS4e8ao3+AwqVMl/m5zZuVR25nZW50EkrlPJBKJRCKRSCQSiUTiLsc9y9yXBjOVg7JmVLLM5b9Sjg0x1RLn3Hc2TP465N26kmVDyJMptzh3p7AVM4MuCr/wFJQ7WzBMGDxLlzePLKphWClHfWTym7sVyPc1kTy65uOUeXEqB2IsXB55+2wcLnVRaSo/U+ka9n0RSuLMHz33zuXtEVwEv3ErPvHBfdy4fyqelNzYJ6WK61eLm/FvT43fBnpqmH41PYg7zxSYeUkq347bUt60JByELl+/Wo6Pv/Kha3xewKlWG48PxvE8Winxs9rvx8yga0tKhRHke0rCiaVa5edcgfJ9M1OCbwQ5yrbE4hxcV8GUVx1BHrlRohDL5sYCoczErsZQXtWy3KScW+CmJWD9nZKMMDl6ZTi7r8NSeIYlrUCfPb10iG0PevEDGYP3iCTNnow3M/OP7GHbw73Yn2IGfV3iMokjV4p2K35Wrlwhrc+kXpRYEULfEhKXBnT9qgAlYTtd/lBZW4zXjU6dFSGTGuXr87OqrMbvoWwY9OEilDk1Hl31XdirmK/cIag5naI68jRySs6TQDL3iUQikUgkEolEIpFI3OW4Z5n7SbUgBXnMFIkjZ2pJmoLrdX2XI+mdwFlRYmZeYtfrzvrRnRlr4JoqSZ1FYEoMY0HR1Orh0XPBS8a9trcSX5erhlDfgeoAdY6FUSTWsR1Ll+PnPDRsdHcN+jOfVo3b8f12Tx2dnXWsP0W0SyYnm/Kr6rumb4C3QX/JqGd68W+7XDTqO86rg5z2u6fNNUOeaqnPz4reP+XyS0YBs8g3TM+jCGyGJE0o/9kwu63PgQP8Krc91Yip0OGE58n9YTw5nGvFjvaSVK7HD6tVNg7Dzfh+nz5cxrYjuKelOrjhS1q5L859v7G/iG2pskDBUBW9G7H3QXU9viZJGkPVgqmp4NDcjI/P3cCmuvVYrKybUUUKSSSR6W/wOKpvx/c7XOKzkkLRKbqIYSfWV5LK8ApJKSYZXyLzmCtAsPcf4P3VqBfvkVqnWVU5X43H926Pqz+0/tTV8NjU3HD7IJ6vZiVTrQaUDMW+2W+AmsQ6z8NPD5acz1Z8bAr5+JJUglforrlYdvU/YtTLsVS0ZCp0lKASiptxJjDOnKdCfQfUYC2jrgDfIuo3Dq5iVLRXmRhPk5NAMveJRCKRSCQSiUQikUjc5bhnmXtyy6da1+SGL3Ht58GCiVpC5LnCZAcynctfZobm4L44Elc0tVQ7ZaiDDsckjra5XHCK8O/fZ/IUgTlwue/0Dhu3zf1ChLBgWIfeSnxepzYgUCTVHbceEtDdDWmIeVAuX4mYXVeVgPoGsc2StPB0fFN3XsFh+NoOPUzuz+0zpPjBplhXGPPiJQ2IvD3GO3JO3fTb00ND/UFudKnCTEj7ZfHksLbAD7oPue+dEcsc9rrx5L5a5/O24bfPmlrmDaCV+mN+zi1gDRfgmCSVoXO0GzxRUg3u1go/q9F8PI4a4P4vSfudmPUvmP48XI7fw9YDxtuADgLrK0mFVtyfZ2XeqwyX4muu7jllFVQUMtUBkCU1a2iBptjjrCmcoqwxefEYdcXK6Zj2PxjwmtKsxH22AcckqV6KH1bXjP3ZfjznVPdNvzoH12UWftoHubxq2m+SElDiNZb2ExLvN52/VxGUZhfXdrAtKZyqNd4ET6dxh3fX3F0HNad5Vn1g9ls3ee0+PA+VX0yVDcqr71OVMsV9w6kxTwLJ3CcSiUQikUgkEolEInGXIz/uE4lEIpFIJBKJRCKRuMtxz8ryK4dTlQMZ5gCMs5xxQwkkHmVjUEWyFGf6QMYcOw8bKSOct2ykUOXFWM80O2DTFpJtOwMySn+osyIJzesWrrDWvH0uHhKuHAdJlsom7YLKgBwHzsAI5dMmhYFKm4xr5v3Cs2pu8YmH87GOzpXRm4IctXbAbTtnwGjGSPoHy/EgtKWlAM6Uh96/S43B8bvCz4o8mYqmXBJJaMurrLEjc7PJgHWBjaX4t1tVlrkOodbSuTk2xRu7moQAKkm32eNapVRG78zcAbZtluPncbW9hG1bIBl2ZnxbbVN/lQDd7gDKe0ls5DitcL9qXo7f78G6Keu6Q3OOKTs2Bvn0nimVBrfkZOqUdlPbNW1heb7wIR5HW6+PzRgxxUi8DlZ5KKhPa2yJ91ftXrwQrp/iUnif/8L58NjSOb7oYjM2AN0+NGNsPn5Jw6LRXg+gXLBJb6lAVVDXJ60THID29W7fTuWT3Z6wvwk3tcZttw/jNKJyyaSnLcfHC2atKsM7cvdL5QqdiTZ9xri+QebdLu2xFO2Bhy9+Lbxk7hOJRCKRSCQSiUQikbjLcc8y94OlksbV5w8FrX46johu/SmOWiLTacz4iLHqm8gyRY+dmQiVnesNmdodHQJLapgDelbOmAMZZxMUW/lCzAyRuaDE5ho9Y65xHJaU3iGVCJHYINKxwlUmBxB9KCFTNEw2Gb0dnjeGPhCSdGUhw0ir2LhOYiVDtX30SK0zLqRnOTLjiJRGzuCmHJM76l8yFz2EMnquZtlSPH4rppwdlZYqGBZtvhE/rJJxyFmpxbTEcMITdAPKFq3W4CVIOlUDVsmwLH2oOzY1bfcGMR1SNBP04TDutDUw+pKk3d2YCqs2WPFDpeNc38BbMn1yCFuKgmk7hfdbNuz7dI7UBoa5p+syLOioQYZ6fF5iZ29+G5dJpPnZKdhKwCq6fR0ZDJplX/WqkcfhiaEMplEa3diLn6VjdgUl65yapHo7XnRGC/ycB8dQNxKz69ZfUvMexzhtNG+UvovxhV3eZOp+aTGmnHsDs78io2wzTVaRuTeld0/Hz3nvEm9WKrBMouGl+PtoYhSopYChnxmlwUkgmftEIpFIJBKJRCKRSCTuctzDzL1UCgiC/YfifBRibiWp0o2PdzZMTuetOMxXtCw4RPB7rjQNKAYwYUwqQA6ryzPGdH4T2KJoahQt+wruvCJm5xt3DAsOj8Pl7pAvAnkISKZUi4kezl2PHxZ5CDzz2/GxqSkRU4T7JYZc4ly1ccOUH4EIsPPM+FqV06F3L0mTJuQaGmaI3lFtj9tSKRf3fqlEUNmwpNMqMPczQ6NBwv6ozy9paT2WojRM2U8q73bQZwnM/fOxEci1zhK2PYSSV70GP6t5qPMzpslMUgvy5g9HfL9ULqtUZDrr1kG8/pKHgMRMt2s76MDz6JiycqAmKQKTKfHcT2oCScjOjs9yfy5txwN4Wud3VN+K72mwYt4R3ZOz24DjwwVuW9uLjxGzJ/Fepr9ydI8Q9XlPuNqKL8yV0Gwtx3KD002gUCUNx/F1DSd8zYVm3O9mZm4frEOp0kM+b/8UlGc8MIqBPThoKE5aB0tGeEH9zpWircAae3qJJZfXno6Z/RKUyHRwaj/aQznPKio17VSzVfpuK7iSv/Hx6r7zUYvqrX9tPLS+GiRzn0gkEolEIpFIJBKJxF2Oe5a5n5alQnB3FH1yLClFnh2T3TsF7J0JpoURInNNEjPO5Qpf9BhyEV2+ETG7jjWsQGCSIm0S59iMusfI2zL3S8cXL/Nz7q3GfcOxwoOluEMTEyJJczfi6+qeNhF8uKUxMOTPNI4P1Q44Wlq/HUf/9x9g5gDHAhuxI0Pjqj+gGzPkfEnSFMa+Yw6OlYdK+fomV7hcjt9Roc4X3azHHb4D7tKStAh581MzGMrAODdMbmwNpEZrdaYNz7f2wmOfvXMG2xJbXYV3IEkPLtwOj5H7vyR1IG/+3Dy7ml8F1tApM2YjUITUTPIsvP5ZjSf34h1gwR2bNRf/Nt2PxF4AxTJf82SFGFZsqvFhfF3lY6yhTh11HFdzeg8V43pN87N3246PVVd4Udnvxz++UOO2D5/aDo/d6nGi8dn52MTp85vr2LbSALd88DyRJI0hfx2OSUJvC9ovSuzU7irOHIe5Z68ObtqAddD1jfIcXNgNvuHmDnhILJm9CjjPO9afFJtLT/L+ubsGa4rJuSeVsPN5iPyQJoNk7hOJRCKRSCQSiUQikUgcE/csc1/uSZHpJzKwJuBS24sbj1ocK+mdOno9RYoeu4hYDfJGSjVTUxwiwI7JpohnxdS8HMH9TlxNU4DL26MIv6vTSbmVh+f5JdGzco72WHnAMTSQC+7GwhDMi11tYEqPdXnzJahX3trkCO/BRXgP5lmR34bzCaB8fVJtSNzvOhsmb49IY/N+Dx6EAX7IDHptMWYWZoZBJ7f1foclP5SjvrMf53pL0sXTd8Jj6w3OYZ2D/PXO2DwroA4cC06577s9NvpoQ1593VBSpBiYK7NH+Nml+J72gMmUpMEw3rKMQREgSbUrcd8ZXGB51BQUffVNkyv8QPw8ylWeryY7cd9x6fr1K3Hf6K+ZxfsYfjmjxfgPareNJwoMFXLSl0yta+N5Q7fk1rLO2fiY84EgBna1wZvCJkj6WhUjywKUy9wnRyP4bHAm4XB82uA+Wbt1dC5yANWonDKSqtU41d3uS+P+Pqka9RtULXAqtHojvqkei8HUXY7fb3H/6B5OzveCVIZu/0zfOE7pS/PKlIunhXPw1Ki4TwLJ3CcSiUQikUgkEolEInGX455l7ueuT8J88r2XxFEgyhOXpN4qtDWu15QT5hzgyeXbMejzV+OQ2IFxNp4txm2rl5mRIsaZ6pxLPif/qHAqhwKlbZprduoLAuXtEasvcV69e45DYMmN2TbmbLuxMCse3UOCXFeHixyvXALvA1fnvr4bj5V2g9sSc1DfOfqzcv25C+mTpCaQJM2Ds7HJb6ZXuNRiCUxnEHfahSUeZMTOl4y/SHsQz2cTU/f9UivOXx+btlc7ceeom7z54+Tc3+7HdOb5FisGGpV4oWwbpcIUekejwoqBg4OY2Z9CZRdJKlyKWVKXITkF9+PRHJ+3VInnjZKpKV46FY+V8dAoBi7F76j5BV4YRoaxIpAfB+1jJKkM7B4xqBLPZ857Btdf7s7I/PZ6pmLFWty4P+YNB6l2NhosN7jdj+fJhlFz9jrmgQDI22JmXPrpPZA/jMR7leYWr79jqOzjcrJpn2ud56HT3uqwCq1ZjfvVENRPkjTt0vfR0b2UxsbbYAbqGiMG02AJfInMNx0qUI+omp0lc59IJBKJRCKRSCQSiUTiuMiP+0QikUgkEolEIpFIJO5y3LOy/O56SaXq88tLSCVJZRGe+YP4UH/VmFzsxMeGC0beQ2V8jLzn9itjCV5paqSM+7GeySj68Tk7qRu9B3NalEK5FAZ6liNWQqke+3FZkOTQyYpKg6ObidA9OQMUkrq5/kwpKk4KhSWtjGqMjFnKYJgnSe2zcVtXVo6MhCodPm8XjDhd+U1Ky3AGkUUwVpoYSfD8XKyT7JEhk6SDW7GJ5/IGdw6ST0umtCM0vbYNeRWSroKM/coht93ciV0+S6bc2Xwzfs77h2xOd3Y1vub/eItdlx5Yjhezz9zgtmdW4vNWStyh6R015li72bsV6z4ry9x2BCW+3JoyhnJ3E1M6rDofX9fsDi+ixVWXdxNjWoESuFSWV1Kpf/SUKzS0NetRfwVOa4zeKB3PpQPgfvImv6P99Vir3ILUF0m6fHs1PLZ2nh9WfxL3u4nbE8LDnDmXR/hp7DemrTU7hmMjSPOTOFV3bPaEmOZpbpfMQ13qRAlSY0Yd3qyUevGF1XaxKd6vyU7D/WbvNLel66rtHj3twqUSVIOyzUWTZn0SSOY+kUgkEolEIpFIJBKJuxz3LHNPoJIL1bYxtquCAZlho8mkxpmXESjaLXH0aThiNmsGplqDZTblaUEkzpl5EbPrmJLKXnzMqRzK/fj99+DdS9IoJhxtOR0y9HERT8saE5yTFICe5cy8I3r/zkCwAOyANYnD3+XjdF2uLTELw3l+wa3N+Mf3HjIsC1yXKw81ncS/7VjSU624vsxejxnl2mL823vXwP1GUu1UPBkOgLmVpBn89CPnNrHtziD+7bMtHvx0fKvH1NCZZqxk+PyY6Y7rt5fCYy8/y/f75G5Mk7pSWsRIXt/n97u6FPerdp8nDppHiZmXpEL/6DzIDEp3ltq8IA2BgZu1jMoBxq8rJ0tzrGPQqWygK5W29ES8Odt5hBc6muscc080lyGycT85rfGJt3Zj1c43nLuBbU8txGPhWofH0Z0OlDg2D2tKqi2zDhbG0K/aRy8n6wwgSVVJZaYlnjfcfqMCQjO3/g7AjLFi5lhSbZWbzPqPF+IbLmzzPIkqFj4tHneK6saduM+2zx3dxNP2q0DANnMK8BPAC8rc/+7v/q6+93u/V2fPnlWhUNBv/MZvPOf4bDbTT//0T+vMmTNqNBp67LHH9MQTTzznb3Z2dvTWt75VCwsLWlpa0g/90A+p3TYFThOJRCKRSCQSiUQikfgTjBeUue90Onr1q1+tv/yX/7J+8Ad/8L84/vM///N6//vfr1/91V/VpUuX9FM/9VN605vepM997nOq15+hl9/61rfq5s2b+s3f/E2NRiP9pb/0l/QjP/Ij+uAHP/hVXcu0LBWCwBflZE8o6ixmWI8TmXKsP+XWLj3BuVl3Xh4zGq4sBuVQOUaZnjPliUvScD4+b8XEeijwPDascG0/Dj13gIFxsNHh45RMoURUE0mnfLKJyTeifG7rXQFo7PBFt89CZNnkR9IYHDd47Nf24441NXmoBDf2O3C/bs7BMomuolE/7ngzKKEoSQPI6aRSaJK0uhCH0octrnnU7sU3VV3jxEwaRp0RTxyrjVgx4ErhlYFyvDC3h20JqySdktSsxp1nocrPeQxlq6oVHvxU4qsITLUkDcbxecdwTJIqCzHNNjYly2hNKY6OPvZnZb7fwgEtooaOHgBzb9VR8TFbxhbXfW5769H4PWD+sqQyddljKNTcs6J8384FfkfzMJ/RvOAwhPlXYuZ3bx8kiJIK5ANCL19S82rcJ90eCdduw4IPQQDlygWT6s7tN+h4Af1hpNKT8QMpPMprWQXKvg77ZgDX4/dLZeMkflYzN12BNU2VK7NqAB5PVtlKy7O95uc/72RwjAnnBcIL+nH/Pd/zPfqe7/me5z02m830vve9Tz/5kz+p7/u+75Mk/dqv/ZrW19f1G7/xG3rLW96iz3/+8/rQhz6kj3/84/rmb/5mSdIv/MIv6M/8mT+j//1//9919uzZF/JyE4lEIpFIJBKJRCKRuCdwYjn3ly9f1ubmph577LFn/21xcVGve93r9NGPflRvectb9NGPflRLS0vPfthL0mOPPaZisaiPfexj+oEf+IH/4ncHg4EGg/8UDj44eCZ/cfXzA5XLzx89ufmGmN2p7XG0lEiYMrhMStI0uJ5nfhib4nkP7ufQI7naj7uGsYDovwssU6TdVgegHDjTa9Fp37Dg7TPxHzjFAEWeKSdIYsWIu1/npk+oBW6fkmeyRxAttx4S5B7f5o41LQGT7XIr4ZacmmRKfhvmfslx2UWWKfrvVB2TBuTsGuavvAdjYZ0pi5sfjwOxjVew5e4M5AaNCksVKq247xwAqy9JY0iuvbIFVtySWufjQehY/6durIXHzm0Ye2LACNh1Sdo9jAfwMigRJOnicnxdX7i6gW1XmvFv18tMz+6042uuVbntEJj9ialKUOwBC17ncURtLXMPOcqO+cPx7YglaGpz7o/jH0S/7XxcKPfdrKGkcCqxiAXXwXKHVTsTUEbe7HLC70EvltatzfFmhdo6hrXSiMfZaJfnus6luG15l18SqtSc0T7tCQ1zT55VQJBLkuavxZ22t8F9Y7wQt92/fnTvmemBk6LE551WuXNUN4/uPE/viFSTklQCd/oheAhIPJ+56kuRW/7kT5Jb/ubmMwY96+vrz/n39fX1Z49tbm7q9OnnmgCVy2WtrKw8+zf/Od773vdqcXHx2f9duHDha3D1iUQikUgkEolEIpFIfP3irnfLf/e73613vetdz/73wcGBLly4oNuvqKlUe36mhiKAg8Wju08XphytITf1snG8H8Wmqhi1kqRJHcJPPeOWD/VuXSS9DEzoCHLqJc5DdvnclBPoardT7pZrS3CKgdre0X97sBQfIzZD4uoPxRH3q0oHorTOjZl8ERom0noMR3xilQaLR8+5jyK4X0F3/eh58+jSb5iDyUI8WBY+wxTb4Fti9sflVQ8eitvWTdszc7F7/NAMpGt7S/E1Dfh+uwcxtVCs8GR3sx1P0I4Ff+S+m+GxL9+KWX1JurASM+jEVEvS8nx8XZQXL0lVqEe/ssKsIbW9sccTx/B2fHzY5H5VbcQDbQa16CWx4qdr1rLleG4oGhf+KeS/ytUUn4uf89jcbv1m3HfcWoVeLGbuppz8gcn3LYIzOe29JN5/Odbw8D4yNjHqNxijjTIvDAclyI02OfcLjViOcHDL5NyTAHWJr3k2jDvetMFz7LgJ+fom556UKK6SAjG7zkNi/4Gjq3aIJT//4Da2nYAKbWtgKoPcAFWHmTcoJ9/tVap78bF+kNv+FUwr8fGay9eHXH+3N4u8wb4ecu5PjLnf2HhGqre1tfWcf9/a2nr22MbGhra3n9tpx+OxdnZ2nv2b/xy1Wk0LCwvP+V8ikUgkEolEIpFIJBJ/knBizP2lS5e0sbGhD3/4w3r00UclPcOyf+xjH9OP/uiPSpLe8IY3aG9vT5/4xCf0mte8RpL0W7/1W5pOp3rd6173VZ1vWpYKwd1RzUsXmRpR2WGToHEcp32Keo2axnWTcsZM3i3l9bmc+zEoBqzLKPy2y30nl3cXpSX3+D6n3SKjMTLu4tXD+MLcc56BU7tjaBYvx2xXe4Onh8bt+MIOL/KJG7fhRZh3VAJHVlIxSKxkcC7QxOz3TvH7pXdYN34M3dPxbw9NLJOcjQ8fYaZzsR4PBmKcJGl1PqY7mlDnXJKqYFBADLm7rsku59yXlmMaZmLqoBM7v1TjpN0prBsbS7GKQZJWavFg2O0xnXVpMSjSK+/U/fRBTHcs1dnJme63BX1Okgqn8DBi7CZDajsf98lS1/wurLFFYDIlabIYv4eCc8unV2jaRvWbJb8eEQOHjvbHBM2FzpuE0Fs13gZweLzEG50KNKZ5UJJWm/Ec2zU+H2uNuO21wiq2LYCJU8n4LUzgfqc17pPEzrv9JIH2ExJ/E7g66MdBcSGeC938PF+P17KtGa+h+NPmG6d+G37XvCNi/Z1qtg+Cr55ZM1CNbVTCLz4/H+MF/bhvt9v60pe+9Ox/X758WZ/61Ke0srKiixcv6p3vfKd+5md+Rg899NCzpfDOnj2r7//+75ckPfLII/ru7/5u/fAP/7B++Zd/WaPRSO94xzv0lre8JZ3yE4lEIpFIJBKJRCKRCPCCftz/wR/8gb7jO77j2f/+Si782972Nv3Df/gP9RM/8RPqdDr6kR/5Ee3t7elbv/Vb9aEPfejZGveS9Ou//ut6xzveoe/6ru9SsVjUm9/8Zr3//e9/IS8zkUgkEolEIpFIJBKJewqF2cwVvri7cHBwoMXFRT3yjp9Vqfb8+mzyZKoayTcZcoGHxTPHQSmFMmWxNMxJ+umaO4+wDLK4Hzcu9lmU0nz+AgeS/hiSfpJgGakMlsQx74jM2mwpD5AdOekX6XucGRAZDDo5IknOnFkMtSUTOImv2fVnOt5nRaEWn4o7njPTJJPHoZHnYZkXkMBKPBbaF00ZLjhv4X42eiuX4w69vgDuVZKubMc5LK+79BS2vd6J9Xm7HZaaFyDvho457N/iF/zIg9fDYys1fs7dcTxYPnX5PLZ9yfnYWGnHyPIpheG+JS7BdwPSIxZMGgLh+s4SHp9MwJjS1ME8zk5nshXrPovDo5d1teddjAdwdZ7X7tFOvGCVTIm2Eqztbv2tQiaJKy1VgaHiTGnJQcqWz6V0LXNeMo/tvowX0cZ8fPzsEjuBkWnaKZDdS1Ib5pynd8BhTNIUzjvosS5/1iG3Yx6gjcvxb7tyhdTvFi/zZvTg/vh+nRF2pRPf0/5DZt54KH6Hk2s8t599Vbz5pnKiktTdjY/Xn+L3S+PIpk7A42jc4r5BpbWd2SLtzU1mTDi3TwZ9fe4Df0P7+/svmg/ciRnqJRKJRCKRSCQSiUQikfja4K4vhRehuT1TOYgEdjbiKI9jHI8Tha8BGTItcxQPmU7DglNVlGLVOdvFjV1Euzg6eqk0MsVzUdrpMcxVKMLrSuKMG9CvDOtface/TYZ5Elfbqe/wNVOJEcd2IBFqGBpSkzh2hxQwThHSPQ2lacx5y6S+cMw9kGzOlIeMopo3+aLbr4yZoQYw85JUhlJLt9rkLCpdPB3LEXYGHEq/fRhLVSrmmvevxax/Y53ZrDEw2YunWKlQBBfIeeMidqYeU53FB4zZ4jgeSOfnmfn7o0/fHx6bLu5h2zUw89ondyOx+SAx85J0YS1eRDf3mSHp7caT8OJpluwdFuJ7ItNZSZo0oM+acljFWtx2asqslZaANT7kd1SGxzExazet7TiHitVxbj2auxk/SzIllXhf5wx8ScngTA9X5uKxcDjgTUMFSkqOzUb1dieeY5db/JJ6o3jOGfbNS2rFD8uVoyQjbKtuPIaRLikYraEtjNEGV7NT/+F4/W0+xMqqO7CGkuJDYoWTG7+kbnRtF67E/XnvQf7YIPXFgTF3rsB1kfJCik2WZ8f4BnmhkMx9IpFIJBKJRCKRSCQSdznuWeZ+VoojvRSJK3cNUwKsPzHzEjOOxGRKUhWII9sWcuDGwAxI0mQdWKerHMInZtddMwWe3XOmHBuXN08lNwaQ1yNJC1fj6GH7LMfR6Fm5HEd6lv0Vw+7AWHAKCYL1J4BIOqlUJI6021JLwOxPTG4WweXeUe6W84EghczYMBalanzDoxFHwwf9uGPNzfGDRlbJ3PAalNFzrMPBnDFsAEyfjjvA+CHulGea8SS7aur4LAKlsbrEioFdoKwGhuo886diZn9qmL+nO3Fe7qkmU51zlXjSaTU5R3m+Gh8/MGX0Fs7FfXY44bEwq8XjaGwUP7Mq+EDA+JSkGagCpoabobYFU3asBD4ClBcvMZtp8+YB5KUjceldd94aDDNiIyWjVDDKSCoLeXuH1VEPnTPUL+CwFy/QD65BPTODHaO8KVXi/j4x3hWkqnXrIPk/Def4mtG3xigFaQp2/kC1SnxiKnUnScUGzHVjXhc2wV/EKVBpX+fG0e5L4kHqVMLtc/E7dOel5bm3xn0y2vfNjr4NecGQzH0ikUgkEolEIpFIJBJ3Oe5Z5r56MFU5iBL2l+MwkHNHhNRK1Q44Gt6BvC+XN0/nLQ34vKMmnNc4SM/AgbhgIq0jcrw390vEkYvikSunM8x2UT7C4YX4ohee4o41asENmxAc9llzv/Qse6e4LalJnDMqRbSdWz6qDcxYmFbAB8IxcHCc1DGS1I/N4/E5StIEmDLnXTGFm6o0+FlNtuPBsAI59RLnXa+3+IYfv7UUnxdyVCVpYSk+XjP5+ocPxseGQ14qKa9+MGOZ0m1QUDRLzEZXYKD1ZsZABlA0E/RcJb4up8wgLDU5MZM8BiYuBx0OD8z7JWMT55Y/nYufZcEu/DEqNVaTjG7GC3BxwNc8jK0r7NxOKibna0LdzvkdVdvAClfdIgqHnHIO9gxF8C2RpNv7MTv/igs3se0Q5AibHTZyubQWJ7DT70pSn5jfHredQvUlGX8CWutcnxxBW5tzDyI158dAfjpun0MgBZMkHYBfg1MpFZfiuX1kvDpoH2QrVhwjT31M+3Yz9AdL8THbr4Ip1jziE0Ey94lEIpFIJBKJRCKRSNzluGeZ+4P7SirVnj98QtHj4byJ/pPrNTDkEueMuag05VU7t166Zlf6lxx5C8dg0I8DUgRIHP13udHki+CitPSOuqf4Yc3fiOmB4TwP0xGk5rno8PxVcCh9gK+ZcuAck00R7YUrTJUMFuPrcuOXlArOzRWVKKaSQhHGqHNkHQaOrJL3GBi2gemE/EdJmkE+8HKdHxbl3Dt8w0bMWFVL3Df2BjGzsN3hHFaqK90HxliSxsB29czkXgNq8HJnDdvOVeIOsN1j9m6tHicbfmr7LLZ9+dpWeKxtJugqUDRb+3zNDwDj2Omy7GpUjZ+zq8IwgJryU1Nip0SO904uBJhAdQdJat6A+txmruvA6yc1n8QO4U6xV4ECD05V11+O77cK1Wgkzsk34hn0tZkZNcl8Kx6/VTOHXtlfCo8NR7xnWIL5+06XE9h3tmGMgjeFZNRv23zNtDdzPkxUvcc8KhWP0TfI42ewbPYMoIDqjHjO2dqN31HRKCSKZVAamQ8G8j6omndEv20VP8fxNIL3TypRKf6eoOpIJ4Vk7hOJRCKRSCQSiUQikbjLcc8y9+O6NAsivVQv09VwpUhc4zZHWofzcSylv8qhqQJEgqzzPEQeJ2MX1oLrMhH8ajtuS3kuko/wE4goc/lzFAF06goicNz97D0QD0V33sUn44vev8TszsHF+DjVDZak/nL8fin/UZImtfimDu7jaYnUCG4s0Puv75qcvwvA0FBCr4zTL7g8u7bWpX8hnjicM3lzyUhVABuNOK/+yQO2CX716vXw2NAk7l0dLYXH9js8uW/Mxdd8aZ49BsiZ/hvmrmJb8j15oHEL226DNfl9Db7mO8NYyfDfXHgc2/7bay8Nj7WqTFtQTv5ik6Uoa7VYbfBkmfvVGBIhWzW+5g6xXWZ+LoNioG6qOxzsQwWHLo+F3kZ8zaWu8QmoU/K72avAHEv56RKvvxXjTVKcxPfbWTeu1zAVOlUWYTzk9ffUqXiO3TN17l+yEm9kt7qsUqKcbHLwlyRBPfryIq8pI1jM3NpdBxN/qpAkSQtPHb0O+qlPxXNSccT7nKuPHb0ETx+q1Zw5zYOhAuqop2+BAZCkIuzrhwv8jVM5iPu7Y/3p26pwHPbdVVCiTxyjfI2+rZwv2EkgmftEIpFIJBKJRCKRSCTucuTHfSKRSCQSiUQikUgkEnc57llZfqUTG9iR/Kdqytn11mINx+F51mKQcRZJ2SRpBEYVTmo+BnVXGcwzJGk4iOM/U1NKa7B0dLMgcvpzMnUqqWHbggyH3oEkTeA5r36WZZ9bfyqWq1EaiSTtPRj3u8YdU+6sGr8jJ2Uk0zwyN5KEYcXJMaT1JLGS+B0uXGHJWakfT5dD9gFD4x2XolIjkynzrKYgC+10WPZ5au7oktE50Lm+dGkb25L0/noXanRJKkH+y+klljKSPL5s3EGnMLFQuTpJujaMZZKXaizLF6Rs1AusKVwuxxJ3kvtL0jqkMFy+xfL4B0/H+trSMUrDuRSzxfnYRKxsSpbNwBCztMxSZLqngjOKgj7p2s4glWA8b0rgwm+XjBkfdXdnNEUl+HwZvfgPXLplFTKQ6rs8ftvn4/lqesDGZ+MzcZ/tGtO0s814AXal0ig1ZmIcyOqrcQcYQVlPSVhS0um2+7D3dgaRtB9Z/hK/3/0H4lySiUmpo/J9s7IZg5D+MA9GqhKXM5xrmTJ6B/FFzyhdR1LxTnxeU2FRM9hS2DkH9oS1PX7O9F3W2TBjYff5n8fYpGucBJK5TyQSiUQikUgkEolE4i7HPcvcT2qSgoAbsbOulBaxhsbrSVNgSZ3hWnMrji51T/E1U5mQQsMYoAzB6M2VxQAvkblrxrysEd+TM7mgp+HK6OHvmvsl4479BzkKTwYchkTDqKU1awODI9+f42NOTTIAvx9XQrG1Gf/B4TkOD8/g/bfPHn06dH2jCMNsxEQnKkLmr/KJ20B3TU0JzcEkfh7rTTbb2+7HL/hCaw/b9kCOQGXUJKleg5KSYKgmMXP/6R0uDfffnPlCeOzy4BS2vdmP6UpSIkjSNkhGVisxMy9JK8Dc7xqHqpVa7ORYPG2MVuEdbrRYXXGtEz+r5Xl2l6xV4r5x0GMlCi0qU6MYmFTi40OzlpWgXOV0zM+5fBifd3TO1HgaxGNlZkrw0bpQNaZ43fX4mCs7RoZ7U7OmIHt3htcFZI2bfGJi56lcnSQdjOI+ezhk58LDvnE2BIyhv5eMEpS2BeMFwwp3aZzxWkaE884jZl2AoeJY//YFGEemJF1zLj7xxMhY2tCvnDpqCoqBAih5JVZF0z5G4v2zK4NJ++duhZ9VE8RxNaPk7qw///OYmOd0EnjxryCRSCQSiUQikUgkEonEsXDPMvfFsVQMojmOkSQQQ+dKtZRGkAO3yNGl0iBuO62ZZDQgNBZqnLuzO42TlF3kkdjb4YIpxUOMsongE5NNuXUSKygGnO6r1c/ENMzuyzg5uroXHxuZfO65zfg99FdcomJ8qAbXJHF/Hpj+TM/Z+QQcQjTcqjrguMtfJ0VByRFhUH3GqXaAYNX+A/ycWyvx4Hf5kYvVeG6gnHpJOluPjQK+1F7Dtq9Y3AyPdSv8knaHMePsSjzVI5MWSY8sb2HbOaAd1sq8MJyvxiXruqZ2GJXKaxuq5MlerCgYmwTJxUrMKs6bvlEG5v5mjyfZJVivJsZQ5fqt5fBYq8Xr4PJSPAin/5L78/63Qt58nSVOE2DR6sDsSdKoGo+VUtWUKj2EtqaMHok+jsPAVcB7ROK8elIvStJwLr4nt/7SfnJplTccxM7PlXmjc6oezytzFe4b2+VYWfX4l89g2yqUVyV1jCRNF+LrGoOnjSTNhjD3m7kdPXHM+kueN3um1DCVqh2Z/SR5anTHPJBoresNeA0tklrIWSlBl3Ul6RauxuftrfCJac5xJRZJ3ep8tiJxHJUuPykkc59IJBKJRCKRSCQSicRdjnuWuSe3fHKndm7qxO459o5y7l3b/UvxhVFOkMRRy2aZqc7V5TjyfGsP6EgxS+pcc4k4cpG4ArSdmNw7uq7Tf8gXvfNInOc04ZR7ZJxdxHMErIPrz5THWJwwgz4tH70awtz1OEp7eJ4vmphu56hMKdtzNzmE3wZnY5OijIyUY+6JOZqZGZzyyDeWodyBabtUMfnNINt5eIFZ8BHQA855vgwPc8E4DHdhkF6oMPXXhIljtcTs3d4k7jzrhq6cL8bMX8ew/qQ2KFG5EknXhzELTi78kjSCweDUFcTsF801v/Rs3O8u32bji/Ek7pOdb2K2sg7sfMm49LcMO08YnonfL7n/S6xQHC2ZqiI9mL+dN8kI1jIz15FQZWTWfcqbd0pPOu9yg+fJS3NxKZxlon0ldcHc4HSN1UItWPh79/EGqzuMz9vu8ZzTqMcbnQ6MMUmq7sTHq0bVQf0OBFuSuNqU24uiktAoXyk3vmnUUXOVuNOORtyhKefeqRxoeXb7nMEC5PqbtstPxCfee8DY9MNUaLY54b7P2PucCJK5TyQSiUQikUgkEolE4i7HPcvcTytSIYiqNbfjiBnlXklSH4yPLetP7K1jHIEccE7dLtpG6I/i0GRxbHwCIGppr/kYdXYp987lZNM7JGbetR2b3J16nHarqXl/FD12UWmC80Ugkq1xm19w93T8sAzhiNHhKpPRWHnAKQbofuu7zn/i6Kqd9oX42GiBKalJJ36YZxeZ7rjVjfMyH126hm0fb8e2148uXsG2/3br4fAY5VxL0no97gBDQ8GRUuGA6BtJAxiEdwSlIcRs9ZYx+rivFteMdznoTgVBWAWDmW1T3oNUHVNzzX2o4OBqe1Pt54Um96u9dryolA+YphnPx8dbdVaDlYG9297mvlED1n9s/DbGYC/uHLOPAyKrXXel4e2YP1eDm0C/Te9Pkg7B8Z78NCTpyf3Y62Gzy0YBj65cD4+1Ktwne7AnHHZ4jzQUbFagQoMkjZvx/Fw5NN4zoMo7vMj9mYRIx/Fwaps694dQb35vhaWCD83Hfedmm+fn7dugyG046Wv8Dt34HcO+3SkyCaSalNhLy80bEVx1jpNAMveJRCKRSCQSiUQikUjc5bhnmftZIY72UF14rFkqE31yddCBWHB5XWBO7HPCgAklJkSSRlDTtmCY+zq4nvdWj+6mftQ8GMlHACl6aMpGq3E7vuiBc/sktYGrDnCMHHRinHswTiR/XYTaPlSOaBhFCJBsztmY3mHf1Jtv3YiveQKOqxI/K2LmJWm4FL/gcof71aWXQwT/gCP4rzp9Mzzm6q8fjOJJp2sssx9aiK+5Z8wryOX9Zpfvdw4YqzPg/i9JE5Aafb5zFtt+49zT4bGiKcHyb3deHh57+fwNbLsPE+XALCr312PFgAMpFT556xy2PTsfKzNIeSFJt3uxfMrVfiYUL/CCNB7GfbI/5Oc8B8z+qVNGeQPMfrnBkq4CuOlXN42r+TF2lcepk02qPFf5hc47ZuENtu2NOSm7AdK664PY10KSlqtxv3ugyeOT8vXdOJqAJ8rKGs9XuzsgYWyayhGgGHH+P8TOO78c2rc3bzBFe+dV8dgvmUoZxXI8Br+wfRrbvnKB535C9VT8sUFzmSRUCbvxS3szNwZ7q5Cv71h0GKKkmJak5tbzj5XJ0EmTv/ZI5j6RSCQSiUQikUgkEom7HPlxn0gkEolEIpFIJBKJxF2Oe1aWP2qBMRcoJqz0CyQ6Rm2KqLKaCc34lh8/eok2J8GiUj1jI8tHmfMxwkqurByZ8bkUhjJIvp0xR/ssSIOMvIfg0gFIvWeq6WiwdIwUFbinUcukbOySDNbI8qG7Gy8vTFNw75eqz0B1IEkSqCBtn5xByZwxSPYlHt/njKHeGrgF9U0NICp395kDlqnXQar6khabTP3W5kvDY7sdyH2R9Kr1zfAYlbqT2JzuT81/Gdu2XC1TwJ9e+Ux47NqIS5XSNc+bsoFkmlcya8qtYayxfPkql0m8fBjfU8cMwgpI76n8oiQNu3F/X1jmSfagG0uRBwMeR1O4LldGr9qK++ywayYskEAPV1nn2rgRT6QjI6+lYeYMiytgblaYcp8cNcHw1JSibcbThoaP8uROJUUXzQJMcxKVm5Sk9iDerNZLRi4O49uV/iusQhqgGQsdMNyb1I6+oXSpi1RKet+UWaNlcjrmayZZ/tklV/svRssYj5L/6/Y2b7Cw2x3DUM/tYymFdO46j/3eWtzW+Oiqc+b5204Gx3AAfIGQzH0ikUgkEolEIpFIJBJ3Oe5Z5r44kopB6AKN7Th4iOYLrpwKGcE5xQCZQhzcz1F4YrrJREqSWrX4eK/CETEyRnPRcIqmuvIU9H5dCT4ymOsvczSOjFmMLxaaEDlFCL1fVxqOftuQHZpCn3Ws/9gY0BGGULqktmsak6rDkFljeg/mWZG6wvWNaSWOwZa7/Bzb98cXfWufabSVWjxhDY0RJxnqPTjPZk/7oziET6yvJJ2fixmN0YQn6CZIM5zBXAmchByT/eQwNkc6VebOUYTzHkdt4Jg/On61y0Zg5WJ83qIZSKv1uE/eOjC0MGB9gZ9zb8FtDGI0FuLFrlJmOosMbTs3+X5rpw3dRW1vxv29f47N+EZQ+s+t+7TPIVWdxHuG4xj4OkOug0vxsfUys+A0rzzdY4fXlzS3w2M3aZGU9FQn/u25CjO7O7djKnvuHLcdT8DYDvq6JBW78XGYUiRxOTtbHhmm/pEpcdyCirHjJm84yhfj+duVhL0DF3b/PNRdlvR71+4Pj5GaQJJGoCQsbTGXTHtRa9IJy0b3tCnpDJflDPXC8774fnrJ3CcSiUQikUgkEolEInG3455l7mfFOCJDTKeLEFEU11XToQiRY/0LdF0mSlSD9JyyocH7o/jEszKfmErlOZaUIrGOuacoLeVrS1JxHN9T3bDClL/uFAOCCKHLySY22rEOze34wqhkpMTX5ZQopOqg3ElJGkHal4u00jWXjNpgAMoNp/ihPktKE0mqdOLz9tdNKZ7DOII/3zJ51b2YGfzSp89j229/fZwLfqvP9QqJ2b0zYLZyox5LVb4wPoVtCbco8VLSaZDI/M7ew0c+79US581PYVE56yYswK6hpGow0Fy+/hLUdb0MjKIktUfxwlGr8uCncneuFN7KXMyCd02ufx9yiefqPPjLkFc/gZJVkjS4FUvJyMdD4vmsMD266sox9zR/u3Wf1liXr09CFadCo+Mzk9D9kRsvCY/94H1/hG0/2469SxaMzGGpGl/0zoBrw1G5u6uf28C2hbW4v7sc9ONkMdP77bPIQaufidejvQd5495bj49NF3m+qlVjScFZU5r1D+/E6/M3rYKcQFITym/2OzzX0TtyY38KS6wbv6RQpVx+ictkGqGgGrezFF4ikUgkEolEIpFIJBKJrxHuWea+MIsjuRiVPkbAxTGOlJPtnLpd1ItASoWxCYl1unEijHtWxAoTCyrxOzKppJjf7MJZo1F8XaP5o7u4O9aBlAqOBSfm1+Xrd8AlmDwiJKOCMH2D7qm2bxQhwIbQGDsuKAJcv8Nt3TskkKKgfMATx2A+HkjVCjMH5Mfx8KuvYNsGON530bxAapXj8271mEHfHsTH93eYjd5bjjvPUpUHw5O9WBXw6Dw/q22QotRMQijl1ROrL0k74/h5PNGOfQAkrmhwX5NzOq/24gn66sEStl2sx4PhzDwbjGy1476xfcj9qgCLHbHrkjTYiwd/t8LKmymw5DPDoBf78ftv3OS2tIYWwElf4hxmW43I+I8QaO533jO033B51eiH1OMbfnT9enxNhqu+2IjH2daAXc2nsIbe7vEN79yKx8qpl/BCeGcXqNA+r2UF2Ju1bvCeoXMW9gyG2d15JL4up4wk4UbtKsv9SuvxPdVMRYOlWjxP3h7y+6WqBbM2XzPtzZxqloolzD9t2oL6wn07LX45vrCbb2ClQqQ0mh2jOtYLhWTuE4lEIpFIJBKJRCKRuMtxosz9ZDLR3/ybf1P/6B/9I21uburs2bP6i3/xL+onf/InVSg8E/GZzWb6X//X/1V//+//fe3t7emNb3yjPvCBD+ihhx76qs5FOfetLai1CTUPpeO5qmINV26KdR4HS9yWotKUwyhJJXDHHE9cnXuI4pk8YyKdbGUBeEeGNNS0CNdsXFXp/bq8Pbxf0zkoMumipRQrHxkWnOq+lwZ80fQ8hkYhQRUNBotGEQI37CKdNL5NSjYmo81f42e199DRx1GlCbWQjTvx3iAeaAumVu5WP2aOnCM6sfNuviKn51fcfwPbEhwLvgwyF2LJJKkPE/SiMYIgl/6W6RyVQkwvTM0YHMzia64btQH5vKy3THUAYNCHxrimBs7lA/CWkaQh0EqFopmg4ZrJPVxiL4CZOW3xTNwnOxVeROvb8bMsgyJAEm5mnDcJefE4VRbtkZzar74bP+fBvMkFh/vde4ITupfOfyk8tmnY9wvgqeGqe/Qn8Yu4ubWEbVdOxWPUqViK12Ka3KSRq386ftAuJxvfvxm/0yqoG43SpLwXHzt4Fc+TZ8ARfw8qykg8T1455GomnTvxQCuYPf+0Hr///hrPz7SPdeoK2pu5PdLtV8WTjmsb+WxNhn/C6tz/3M/9nD7wgQ/o//w//099/vOf18/93M/p53/+5/ULv/ALz/7Nz//8z+v973+/fvmXf1kf+9jH1Gq19KY3vUn9/jF06YlEIpFIJBKJRCKRSNzDOFHm/j/8h/+g7/u+79Of/bN/VpJ0//336x//43+s3//935f0DGv/vve9Tz/5kz+p7/u+75Mk/dqv/ZrW19f1G7/xG3rLW97yxz7XpC4pYGlHkGdM+ekS55OR07okDReO7qaONSBNkIiilofAzklSuRSHxGaDo9ePdA7w5EHg8sirEAHur3FbUTUEw9yXe/FLdC7uVIfXse/0/l1/ru1Rx+P3S9HUIuTHSVJhevQoPKkv6B1I0nDu6Ll35KnhVB0UWe4b/wl6h65vDIfxQJuO+EE/3Y+dy9/4wJPY9mAUzyun6mxOsrUf569v7jGb9cqlzfDY0Ew6lEd+o8vnvdS8HR77x1dfi23feDp+ll1TVuQ/HjwQHnvNIicqzgFV0jQda7EQKwo+fOtl2Pabl2MPAse+7w3jQXptbwnbkoJiqckKid1ZfN7uIa+hhQqx7zz2K+V44uhum4oGa/E9jeeNU/cX4/fQOYdNkYGb1Hl+rt+GyiBcSAFVAW7dLwHTBtYUkli1NTvLpBRVBjkYHt2o5TN32LV+7yBmZ8+s72Fb8hFwarAJPI9uy9R978bvaPcRbCoQKVm/K1KC1ne4Px9colJG3JaURp0xP6vP34xt+h9cj9cqSSrWYM9vKmSpEz/MmvEloqXOMegTp5wEkMdTpcP32z73/HsoI+I+EZwoc/8t3/It+vCHP6zHH39ckvRHf/RH+nf/7t/pe77neyRJly9f1ubmph577LFn2ywuLup1r3udPvrRjz7vbw4GAx0cHDznf4lEIpFIJBKJRCKRSPxJwoky93/9r/91HRwc6OGHH1apVNJkMtHf+lt/S29961slSZubz7Au6+vPjTqtr68/e+w/x3vf+179b//b//a1vfBEIpFIJBKJRCKRSCS+jnGiH/f/1//1f+nXf/3X9cEPflCveMUr9KlPfUrvfOc7dfbsWb3tbW870m+++93v1rve9a5n//vg4EAXLlxQ9UAqBfLd45S7o7b1XRZjdM7Gj9uZ8ZEBmZOLk9yFZPeSNOiD2YS5ZlLBuvslUx5XcpBK15A8S5Lqd+ITUzkVSaiPd7IiUsA7EyL7LAGUDnAcS5D+Ch+vHkCJJyOTI4xaJlUEftumA4ChUyn2NpIkDaECkJP009h3736yF+cwlJa4Uy7Oxyd2ZZoWKkf3SDnox7LPjSVWZlEpvBttltZvgJnbyxdjub8kVeBF/MD5T2HbARrqcQk+kt4XTf3NJ3qxdLNkFskuGHJdmmP9ZRvyqm73WQPdHsZtu8a8bO5l8SB1pofLLZC4T3jCatRM7gyAZPvVVR5j/Z04laDU4knn8IH4/ZNpliRNa0cXhJIE3pmXVeG4Mx0eU6qmSQOka3ZmizTOHp67iW23h/F8dv8iL0jlpXiM/sfNM9i2WY/7M5VRk6QZGEjO6ryYTWDxLvad0Ru5PGJTTNej/ZMk3ES5UpZ1KHdH5WIl6RVn4/WqP+HPviKkEU0O+f1W9+J35Iyw6TvFfePQUudKWdL+aloxaVOd5/93Z+B5EjjRj/v/+X/+n/XX//pffzZ3/lWvepWefvppvfe979Xb3vY2bWw8kye0tbWlM2f+0wSztbWlRx999Hl/s1arqVYzs28ikUgkEolEIpFIJBL3ME70477b7apYfG7krlQqaTp9Juxy6dIlbWxs6MMf/vCzH/MHBwf62Mc+ph/90R/9qs41qUoKIkHEKEeRmGePt6EUz/wxKEeD4hAijxB1lpg1bpQ5JDY7Ruk/itS1bnJEe9KI7wkC1s8AfroBzLwkjeG8zgSQoofHYaNdnUSoSoXmRpJEBOuxSg6askVDINmKzjyl/rUpsUhGjBIzOLbEE7QlQxeJjTitGRAYGzrmYAFK8VxvM0t6bi5+mDeNOR2V/5qHUneSdHk/loxUwaBIksbTuHO4UnjE3C8Z9v1QMTVEJY0kqQaUBikCJKkJ9MLIdKyn2/FzfnTpGrb9j/uxI9vIsODNSnzNzrxsvh73HVcKr1WNz7s6z5sGYt+dYqANyjm3LhSqYORnSlrNarSY8XmPw1rh3oyHERruGV9KUeVWZ1hcBTHR8Bgy0d/aZmPK16xcDY+t11nh9K8/94rw2KOXePze6sVU6M4OSNQkaRjPo+UF7jgTYJTHdTNvXIk71mDZlcID89+SM8ON25bafM1lWAfXqsaUFsrJOjQb8Xs4nPKmkAwzC2PznQLfE+5bowDLs9uL0p7ffmsEmDil7gngRD/uv/d7v1d/62/9LV28eFGveMUr9MlPflL/x//xf+gv/+W/LEkqFAp65zvfqZ/5mZ/RQw89pEuXLumnfuqndPbsWX3/93//SV5qIpFIJBKJRCKRSCQSdw1O9OP+F37hF/RTP/VT+it/5a9oe3tbZ8+e1f/4P/6P+umf/uln/+YnfuIn1Ol09CM/8iPa29vTt37rt+pDH/qQ6vWvrizIrBBHXImUcKUt+itxlMe1LVHuLLaUJjVK3uG2IwjiOWaoDGUxHLPb2IqPHd7Hd0zRf5NKirARQDhe2zv6eV0+Nz1L1696a8DOmvJu8zvxw1z4BCc53nptzN46bwNC2UQ9ienunjJ5bLuQS2pmQxyDbgDDKyQlgsT9bnwMdcW0zzd8CPnNRTPpfPzaxfDYyhxTcBVgLFyptFPNmNGwPgHVmPm90l3Gthu1WKlwOOFB2J/F7+EP9+LnKEn3N019IQCVu9scsDJjrR6z1XdckiOAVBuSNIL3P90x6XlxhUUNjWJgAiVjO8SuS6pV4smQ1ASSVIAuO7zF/ap6Kt5wDLus6ih1gWHtGLYSXoNTki08Fc8rtM5JvMa69QjL9xnWH+wnLNpQ0uwHznwK2+7DvHKbTF4kveT8dniMSoJKrESZm+cX3I2MsCQrkaBc8KlRoeE7dGnzsCd0yjmY2jVp8WaUlGQlYxTQHsU3vFDlOYfKb0LlRknSpAb7gqLxRaBxZN4RzTnuewE9Ncx5G7ee/34npLQ+IZzox/38/Lze97736X3ve1/4N4VCQe95z3v0nve85+QuLJFIJBKJRCKRSCQSibsYJ/pxf5Ko9OIcDoq0Nm9xaKq7Hj+ysWHggCixoJwx57YtSAkcjLkLTMYQPTTnJTbaMdk6RhSe3sKkyu+I8nNcBJBY1Oa2cZ9eJ7deE9GG5+EqC7Q34gfdPc3sHSoKTBSeiEHHoHdOg8O/U7GAP0XzFr/gwdLRc9/LQFYbkgWj//S7Eo+zyhZTTpPTceNWnRmavXY8kDa3uV+97iVPhcccc0+4crCEx8swwKumNMg+WCr/zu5D2Jac+FeqnM99AJOO8wkoAw3zZBsSmCWdacY5vb+3eT+2bVTAJ8CsR2Nw29Y8Lwy3DuKBNvs856gOzsTX7BzRh5V4nNWMD0S/H7ctLfOGAtnMvqMc4ZBpSm76BXp/kvYfAGXkbT5vCbrO3A3zjuaOXhtmAnsGyl+WpP1RPG9QNQuJfT6ebrPS6BCUKA7XN+PfXl1jtd9BN1b1lOo8FqqPx89qNM/vd7QU98lSj999dT8+3rp+dO+oqansQ+w7VRyRpNvteK6rLvJadtCGNaXBe6TybjwIXbUL8syw3wvwKJ1aqHoYv8PKplFyLz//hU2OVWvqhcHRa5YkEolEIpFIJBKJRCKR+LrAPcvcTyoK3fJbm3H06eACPxJijV0tRqr9DSmbzwDOS3U4HSivVpJmW3EUD/NrJJUGcfTKRfGIrTRGofg8ymSLK2kM0VTniE5KhcEyR/Ior8vl/FG/GxmnUFJfuFxCYsHdsyK1gWPuyRHfRXiJ2R+AK70kNW4fPdefqjQ4ZQb1WHqODm78VlyCHeDhjdhwg+r3StIYXuJunyc7ats1udH71XgAv3TxFrYlBv3b1r6MbQfQ4QdUCkPSHNAST/dgwZHU7h+dvfv8bswqPrjMPgBfuHU6PFavHj3ft7UIpjaSOtdidn4GzLwkNZbi5zwa8oRVrcW/fdgz7tPgizEb8WRHbvlybvnAzo8WDHvXjq/LKclo/l75ArPg298Uj+8RMKiSNICh4vYqFdi7lUv8rLqQcz9nSr881Y2pzo0GXzTNwZ+/yYoBdeI+uV/j+bkyB9UunNrvoXgMztpmwwEL/8RVQrkKbuqLRq0LrHGhz+fdg7XOeSpsLMTKKusvsg3vsOJKN8WHxsaKZenL8F120WzsYJgtP8H7jduvjPtzEaoNSfH7nR7DF+yFQjL3iUQikUgkEolEIpFI3OW4Z5l7zRRGkaiuoWPCKJjqGHRyAXcMKzGOrg5rGQiN3T0Op5XPQlLvFzh6SAHRM/+Bc0lvfkt8Xc4hnNKRnOMu5TC7fG6bF0SgyzLvl8ypXb4R+ggc435MShgyOK7tCLqd87Uodo5es3Y2jdu6eYNyOis8FKg0sIacvo517stdvl9iFU+3mIJzVTgI1w/jmyqb3PcaMFKnFviazzRjtuvOgOdJUhSsnuIX/Hg7ZsqWq2yq0AV5Tc11yko8OWz1eG6nevMHRg1G7PzQ1JvvQQ56tWrudw6OGyZ70IvPO9tjRcjsTHze4YDvl/KQZ3u84ZgSc2+cuo9DPNF+xOXN09y+9xJ+zqR+s2s3XLOrk01s5dRszk7V4zmpdIyyQOSn8cxxqKG+aHw+YJxNweFdkvrteG6Y0UInqVCN72lWMi8YfDFmpkLHrBRfl9vzYYUsM+eQv4jrV1V4/65t5Uy85gx3ePM9BTWgUyjuPQiKH+MtRGN/52VGjQ1tnQK1Gm0ZnA/aCSCZ+0QikUgkEolEIpFIJO5y5Md9IpFIJBKJRCKRSCQSdznuWVl+tRObhc2KsTykts8SnVErjoeQ4ZbE0rDiiNse3Acl6YwUmQzKpkM215iVoayN87iA826+nmWuKKMzMnUyPRwZGTNh8UmWulXASGhkyp7Qs3LvF9NBzDsihZZT9Vbb8UsamdJC1N+p5JwkzUH5Gfecaey7knT13fhY2aQ/kM6VzCPdbxsVs0p9MD00bYcHsYRyf4Hlee1B3Ha5wRq7xXqsZWyWj653+49Xz+Hx9YuxRJbKEknSpYXYRO5Te+ex7Wkwv3q6wyWtqHTcepPTEEie2Rny/Z5bjl3EPnHtArZdmY/f/z7I7iVpMorXq4GRBJcbcd8Ztfl+S5V47h+T/F1S/zAeC4VDHoTF0/FYmK6y4ZrgecyMUVRxDOVG4ZjEa3cv9lKUdDyzVGrb52GEqYuu+iaVKR4Ys8UR/Pj56g62/bebLwuPvXbtCrbd7sXmkvM1Xsxo3tg2ZU6XVuM5ae8at6004g3JBPapkjSlEoxQ7lnyRnCEGuwZXCpBCVIJXJnTvUG8KSyZNARKfRtWuG0JDECdmSYZjrtUXJLWu/1z6+bRjfyidGrjWXgiSOY+kUgkEolEIpFIJBKJuxz3LHM/nJNKQcAcS9aZiBgddiXLqGxGNa5c8cx5IRJETLXEkXRiMyRpAuV2qoY4cAz7UeEicXVglA8Ms0ss+P4DHI4rwnW1tkxJnNPAspgoIJ3XefLQcWeJRoyGi9ISs+/udwDjyFVvI8Mmb1wILLgZ+8QqVcDkT5J6q/F5nWEilWd0z7k6H3esFhiqSVxGb63OzD2Z8fUnvGSRmduFU8yE3erFFM2iYbMIC1Vu24B6lGebXCN1s7cQHtuG+5GkKjA0ewfsInbQijtWERgnSTrsx+9oali0ChjMDfbZyK8IhlwOpBgo75l1AUzzBhu8eDfIJNAYCHZvxe+/aMpwocrQ+TSauZ9AaiJr0go+cDjvS6rsQVvD3E5gzzAasBJlExj02jLvzV5/6unwGJXIlKSVWjwHH4yYJr3ajWUQF8+xYyKx/sULe9h2Mo3b9oq8AI9huZoaYzva5zjV3QAUI04BMwBZ3sGIBwOx8wemBOqEFFDGjG/+qfhYP67cKEmq7cXHBkvcNjS2k6w7aPssfOOY77KohCZ4L58YkrlPJBKJRCKRSCQSiUTiLsc9y9zPSsBMQeS5OOaQC+bsAqMoMbM/nHc5ynDQMI6DmNzRxOTcTyGHxkUt63EaKubISBJUeFJpYHKVhvHx6qFh7iEg6nLvlp+OO9beg/ywKKeI8gElVjI4tqMM74EUARKXlHT5kfPXgDU0CgksR2nKFtGzKve4Xw0Xjp6/Ts/StiWmzIx9yvlzpTt7MPb3ofSbJG3eiCmLpZfGjJMkTYGh+eyNDWy7shAzUlS+TeI8c5enSIqBByEfX5J2h3Gn7Y6ZkVqoxIPh2t4Stl1uxc/KlZV7ajdOkKSycZI0A3a+cMCDoXwhpmiGPZ43KL+91uGBNFw9Ops1WgTfGpe/DodpnEiSavEcW9o161ErvuaqeVb0OBquFB7M37U9o3A6DWU/zRpK68bcJo/93YW4b5DyUZKGkJx7c8RGAQtQZ23XLIQtqMvcNRLUCyvxouI8UXYhF9yh3T562+OAlBkVYowlNbfiPjuu8zjqglfHtcIStm3V4rXOlakdQLlClcw6+EB8zO356RvHfWtQW7cHJoxiYY0kUE46VfMJIJn7RCKRSCQSiUQikUgk7nLcs8x9aSAZM8rnxWDZRNIpcGXOR+ydy9evQh6bi4hR+tWswyxL40YcWXb5vvNX4wvbv2TyFCES59zUiTkwhsqqQY7N0ETxDi7Ew8mxs5Qz5Nra5HgARSarnO6LbIfLI997MH7/Lhec3Gud2oBy0CdVo7yBtnXDSFHkeUb0nKQypKi7PDZSUDjmftaO54ablEwoqQTOxtcP2RX5zl6cIDvpGXfxxTjx9labE29X5+K2e0apUAI25PH9U9h2CI73W7dBdiVp41Q8SHvGeb4/iN/DeJPvtwBO7YXbTJVUzsXPeWCY7Ck5wDd4IZyCF8BY/Kwor55yRSVpAIOQlDWSNFiBNcX4E8xIlWfYu+IQ3oMRDGDuu8lfr+3G1+W8dmg/4tg72td1Nvg50/vvt3m+msFm5bPts9j28mGsnnnp4i1s+5k7Z8JjlxZZadSFTUPVmN5QFZVOnzfBBVBPjc1cJ8qrN/4T6LNl+hUpfZ13xWwflGTL7FtDvib1KqsrSuBNMumbzRlMK+57gZ6H8xUj5aut+nQYX7SrgtQ+8/zvd3p0e5cXDMncJxKJRCKRSCQSiUQicZfjTyRzT4yjY7Moat3Y5qYUtTaBdIyIuTzjOkTD26be7WAtjpYufpFjQ+2zwM4ew0nf5XM37sRhs/6qyemEvOsR5JhL7NQ+f5VzlYZzkLfHRCcyGjMTtSSFhBsLpDYpGAda5+JPgFRD64pMz2pqgv+kkHG1cMmvoQV5eZI0gFx/l4tGY8VWUmjFnaOwyywLORD3WvygVxZjmZJJNdQImN2hqTm91407PDoISxpTHWUzP+9BLmlzjpP3iNlvmbbkPl0+z5bnE7pfYOYlaQyMcsHkKNN5S+Ck/8yPx4dqd0x/pq5jxhHNOUMztztPHEL5ABz+28Z7BvqsW7tpn+PYO/ItIlZf4oo0jn0/zn6EPGBmVVMXHNjoiw2u7jF2GyHAaiMeozsDM2EBLu9AsXLxPLrY5M5B/gQHN8w1U8WonqugFDd2KsOFp+M1tHPWKBWW4omDKp1I0kI9fpb7PXbLn8Gzqj/N10x7M6eqpL1bc5PbNm/Hz+PwHL8kqr7UY9FdOJ+5ffdJIJn7RCKRSCQSiUQikUgk7nLkx30ikUgkEolEIpFIJBJ3Oe5dWf5wplKgxZmAvNqZ05HBgjOLIUMuZxgxALVT6wbL1UZzIDsiDY68BP6obV0aAplgOClU+2zcrd1znlTAAOUY5fu6p8yDhMNWzgSKNDLqk4zc1EgV6R05uenC03EH6EBJI4nl806WXwDDRPecCfNXuHPsvjTutL1Vk8JAP+3SG6iCl/PGAUO9mpFeD6EcGsnBJenO42vhsbkH9rDt4VNxx6uaaybJKJUWkqQKyCTnqiyPpxJ9BwOWUC6fjo2VyKhPkqrleACTIZMkHXTiSWf9FAwySTuHcdsi3I8kDaE843RgUq5a8XMezZvyqiDdpVJZkjRcglJ4ZiwUK2AidsgS2VkzblsyxljTevw8GttmfobX4NZ9Sl9y5YInUFrMye5JWu/MjsGXUuUWbziWavGGcr3CjrafGceGe66E5v4wnlfmzXxFWJvnOfb6rdiItdgye1EyazvH88bkejznTKpuMwrXxC2187L4Pbi0xyI4gt/+QrxGStKlV18Lj/WHnBY33Ynn/sEKbzjqt+KHNWJvWNzn2Dl2HoxWj1Fq2JlZR4aKXwd+esncJxKJRCKRSCQSiUQicbfjnmXui6OYuR9DhNeVTSBQ9Ncd753mtsSyudJwFcPeEo5TEoeOu4gYmX1RdF+SihCyckw2PWcXwSdG2ZXxIda4scPx4YP74we98Gk+8c7L45uyKgcg946j+HCgd1QGQxeJDQTdOyKzxf0HuFNiv3LldKDtwtMcST+8EL+I3jq3razGrJIzP9q+E4fa51Z5EDZeGpdiotJRknT24djVtDPkAbzajFmnzpBf0gIwcEXD78w1mHUi3OnEcrHT8/yci0Cj7hiX1rmF+H7JJEyS5prxQjga8ziqLYDJo1mPulBqy4gcJHj9Da46piGo7pxSkFAAVl+SVIofyAhMOiVe9/vGZIrWMmeo19w+el1X2ged+iPenN16VfyCp2bdp3dYqfIiugMlNieGe9vuxjK1gpFINMrxOHLl7IYwRmsVY3rYijvAnQOWvo5ADVYo8VigucEZ6pWgXKUz0qXX4Axtx2AueukbrmPbQ1B8uVJ4QzDym+0Z41HYA7s9Ic0bbp7sQwlztycsd+OXVDfvKNp7T49hGP1CIZn7RCKRSCQSiUQikUgk7nLcs8z9UUHMnsSM89RU45i7HodzJnWOs1AOs4t1t7bj6PFtk8tC0cXhvMnphNRLF4mj/HWX+06kU22fn1b7bBwBbNzmtp1zkPNnWPAS9Dubkw2/fXjR5GXCsaLLj4R3NH+VG4+BCasYInMIuVsVruCFOfkuB67ch/drwqT1mIy2A3iwFB/rnuYT9zbiHy8uM5t1ZiXO+ZyvcNv1h2PW+HaP6Y4zTfMSAd1x3ClvbC1h21Y1pg5aJg+V2K7Pb65j2wurMTW0CIoAiVlyVy7pENQIY8OgVxvxs7r5Ob7f+Qfj++12WSFRgPut1XiSLcPzGBvWnxg4V4qWxCb1O3zi7nw8f9dWmZIagHrGbhoA45ahpWCOPf37fL+0/joGjtaj3ZdyvyIvpZnZE5Kir1LmMfjI0lZ47PZoHtuSV8dejxcz8hcZQck5SapV4nHmSoa2D2NGuVg27DvNdV9mb5LxXNzhXQlcVAqapaq2B6WVyQtLEnU7N7dPKnHrW3e4X1VgHp2a+Zm+j5yymeakQWzVIIm/NUhxKUntC/F7cPvJ6HvRzRkngWTuE4lEIpFIJBKJRCKRuMtxzzL3g6WixtXnj10Qa1w95CgPsqgu5w8c051ioAwmpPPXOOLZWY9fc6nJ4fApOGY79h0daDnQihHAChuyigLezp+A3uEA8nokw946pgReoXM1J9aBWG5JqkM+/6jl8jLjY70VbksKCtuvjpGbhVF406/o/brxWxwDcwC5sZJUh5y/voloT6vAdNaZ6awAG3044gj+qUb8MDdanAtO7HsPjknSnXasClhYYkkIMVaUUy9JzXLcKV999ga2JdwyKgdi9vsTXt5v3l4Kj507BZ1O0pXrq/E1ATMvSR1gf+bneT0ajuJ31O+xSomYv8kcTxyzUjz4C2PmSGaL8Tjrk0RNUqERtx2Z6gCqx/dU2uG2tHb3z/KzKozi+ay3ys+K5lGnrCI4dpbWZ+fF0gdPhZLxCBnCRufxNitgxsCSV41i4KAXb8Amwb75K9hrxy+iUeeHNR3G47fgqMbdeHwPzvBaVmzH553UTKUMUOw1bmNT7b8EWGEuhiAdxn1jH7waJGkEfaNi1v1hNx4sReM/Qf4yxbbxBoP9lxv7rRvx3N5d546Fc4PZt0f7SbdnPwkkc59IJBKJRCKRSCQSicRdjnuWuR/XpVlAEFAeefMWRzy7p+NH5pz2bfQYUIUoX/ucidFAwKzWYMqxB5HW4RKfluAiWxTFqx2wUmFSi5+HcyZHBtZE8ahf2XwjeEdW1QFun+QDIEkDU2eZQP3d1TOmmsTuHVH1h7U/2MO21960dOTzkudC97TJn4P8OucgXWnHHWvU4rFf7gDjyKfVbXBiP7vAtcyv7C+Fxx5Y2sG27VlMDzjn+ZefinNYh6bMBuXNHxilwhh+e7nKioEynPepfZZm7EJu7QPL/JwfvRjXQnaoXIiv+fIm12AugJkHOfhLUgnaVmtmLWvH77A8x20nUGlhsGEUMHX4bVPBYVaO73cCbtqSVAI3/fEi73OmfZg3Jk7RBddlJh3aU6BviZhBd3Xuae12rCHV0XY59/vD+Mc/d4uZ+4VGvHA4pRHlxk/MnmACfhz7N1kqWGzFY2FqjC8KcLzQ47Ewfzluu/8wv6MKsP5jo0AlP4aiaUvjrGtq1dfBF8FVUlCbjMW4KakbnaoS8/XNHqkwhXnSfHfRb7vKXMncJxKJRCKRSCQSiUQikfia4Z5l7kvDuMwrMY57D5hHAkEvykF2cPUyqdaqy0EnN9+myZHq7cfhRVenk3LVbG1vCDu5HJoSpG06Z2Ny5HVtsc79MRx31z5jaop/EzjQHqdP2sjy0X+b3q+LehJTcuc1UFbCnNf1Z1IbuDApRaWLpm1pEE86zlNhvB53gPV5njhW6jHjfH+LWeGXzsf15jf7/I4enI8TGSvuJQGebMd54pK0UInHWd0NYMAhlYaQtFiJJ51Xrt3EtvQ8GiZZuAOT8O6QJ7sm1Mmem+P5qgjs+1yNJU79YjzJ7nWYYl1Zja2PByNe9zsFouCYCZtsxddVewn7Twz78XXVW/x++6BUmIEXh8R1msv7PEFPodY5VSuReO4fssk3qgLctEFrmVPdDUAx4PD0QazMecO5p7DtnUG8abzT5/G7WI/nnM1DftCkGCFmXpKm4JlRMG75VI++ss+sf+ccHDTrL+0ZaF2XjteviqfjefTUHNu4X7kdd8pWk088aMQXXQAloCSVhlBRyH1twnTmnvPBfaCuMPt255tAmAZTbLrlJxKJRCKRSCQSiUQikTg28uM+kUgkEolEIpFIJBKJuxz3rCx/43fuqFx6fs3E5nfEhj8kj5aE4RCSdDs4sz2SpTgZMxmBFUqsra7OUd0xflh0T06iM4K2dVYEY9kx5+hTPYjbujJ6bKjnauHFv73zsNHHA5wZH8nGKuwDphHInVz5IHpWE2NgNARpZ9WUW6HnYeWXIIF3bWlecWUh6ztw0UUe/CWQ39ZBWi1Ja3WW/hEax5CxD2CyW6jyNd2CznGry5rgMegvKVVAkkqQr/XJHdKESmsrcXpExQwkelY7Q871+sTN8+GxR07HaRWS9PReLCcm2b3Epnm1kinTNI7vdwKSX0ma1MDEc8I8B5rIDbht7Vz8flsNnjhIlm8B11wAoz5JKoL0uhF7Vj5z2gac15kOH2OfQ7/d3OL7pTK3ThLcgkqX3Qd5j/SNF58Mj52pca20rV4sn6eSoJJ0cTkuVzkz7oPlm5DucfHom+CZMYikUrVuP1kF/9fxCvcN2qs4E236JnDpHFMosTk176gO5qL9gXOYA8NTY3qIxncmNYZSj11aDaVOlM0+lgwz3a49er8FZ6B9Ajhx5v769ev6C3/hL2h1dVWNRkOvetWr9Ad/8AfPHp/NZvrpn/5pnTlzRo1GQ4899pieeOKJk77MRCKRSCQSiUQikUgk7hqcKHO/u7urN77xjfqO7/gO/et//a916tQpPfHEE1pe/k8swM///M/r/e9/v371V39Vly5d0k/91E/pTW96kz73uc+pXv/jM5g7r1lRqRr8PRmvuHIN4I3UZ78mLT4Zh5+KprxMH1hjilpJUm81btswEUCK4s7AOEeSRvNHj+BjtQ4TTqPz1uKAtSRmdyj6K3GUlt6fxIZ7rpQHXZczLiT2nSKpklTbi485lgUq8dhIK+oyTL/C8n3OdImUGaZUCxlJufvdfSie91yJpynMKwd9nk/3qnHnuDZawranGzHDTgZyknQHGOehodFudGJ5xX0LPPip7eGInxUxzpfmWWpE7HvNUENf2D99pGuSpIfWYjXCgnlHVIarAqX9JOnKrZiycoZ6W0/EqrvCKrc9PIwpmumuKUnXBJMpYLocun0+L5Wzc2edwR+4ua58GM8bfa50yOooc15an515KA2V4YIp7wbrJJVelaQeVKxr1IzpISzuPbMAXz1Yin+3x20PW/EN18pmEX0kfkk9058nYPJYHLl6hXDMDAZcNsx5qQSjM2tDc2dXYvEg7hvbc2x62NmNf7zcNKo6UAzUjfkc7UfKZo80WIqPue8yUm74PX98zClfozlnZobQSeBEP+5/7ud+ThcuXNCv/MqvPPtvly5devb/z2Yzve9979NP/uRP6vu+7/skSb/2a7+m9fV1/cZv/Ibe8pa3nOTlJhKJRCKRSCQSiUQicVfgRD/u/8W/+Bd605vepD//5/+8PvKRj+jcuXP6K3/lr+iHf/iHJUmXL1/W5uamHnvssWfbLC4u6nWve50++tGPPu/H/WAw0GDwnyL2BwfP0JjdUwWVgIWN0LzFIcBeVF9Pnq3snYojYpRHLEllICVcThhFF/uQwyhJo24cPYSqRJKkKqWMmUgrReoadzj8f3gBaGHDZJNiwJUcxMjjcVhhEz0s9+KLnhWNTwDcr2PunaKAQGOltnP0/EhbLom6xh0+77Qan9d6G5BiwFFwcM3uvLPD+CXV1jm83J/Ec8PZJstYiL3tmY5zvhGH2onllqRXLsUyiMcPT2HbBxZiisYpBihffzzlhaENpfLON/aw7YMLMZXSNmqDxWpMK43MNVPefHvAk+wD60evPbRw/154rGCWe2KyDTmr2RTWfZMr3G/HE2mNPG0klcvxOBqPXc1QuihXzi4+ZvOMQYk0MvMzzWduriN7itq+KVcIczutr5JU6n/1+8yvoDuO+8aX2yyR6EHudM2UOL55eyk8VoI+J0nNRvzb4wH3q+pePFYop16S0ILArKGU31425d3ot53XDu3rKsbSZnAmbtwyihDFlijWX2QMnimdc/yg67dpnsSm+P6tJxnsVd07IrWBO28j2DOOR0dXc71QONGc+yeffFIf+MAH9NBDD+nf/Jt/ox/90R/VX/2rf1W/+qu/Kkna3NyUJK2vP1fntL6+/uyx/xzvfe97tbi4+Oz/Lly48LW9iUQikUgkEolEIpFIJL7OcKLM/XQ61Td/8zfrZ3/2ZyVJ3/iN36jPfOYz+uVf/mW97W1vO9Jvvvvd79a73vWuZ//74OBAFy5c0KwUs4PECjuGleDc8olVdHnzFH2yDCrcU9fkZhWrkGtoTkyuupZhhWja/v3mYdFhE1Cj6L/LkTqOq+rc9fgP+iscDScW3D5neB7VPdMW3pFVwIAPhMuPxCoMLm0Pxv4IXJ4lHqOUdylJS4/HnYMUPRL3O1c5YtKIO0fDuOVfmouZ7KaRkzSK8UAiR3tJWoYyDW1TWqAIk13T3C+x78tVppWoOsCN3hK2PVOPKakFs6i4vHrCBAbLzoCTSSdgmjExi9lcJe4bu32eZKdw3rU5psI6w1hRYIpsaArMfXnbVI05H7/DlmFYd7bjCby+wJRUAfL1Ka9WkiZNaGuY6t5GfMwqjUBp5pRktMaOzdxOa9m4aSqwwCs8POD+XF+9FR67criEbcdQHaLg9oSgvCkZYwTyiSiYShmT+tGd2EkZaSspkBJ0i887hiXHFG/Ba3b5672D+POseh/P+9s34cRl85HTix+m89kqDY6ubmzdiq+rfZ7nK9qOVNtHt9o3IjQdnnv++53AczgpnChzf+bMGb385S9/zr898sgjunLliiRpY+OZVWFr67lfhVtbW88e+89Rq9W0sLDwnP8lEolEIpFIJBKJRCLxJwknyty/8Y1v1Be/+MXn/Nvjjz+u++67T9Iz5nobGxv68Ic/rEcffVTSM0z8xz72Mf3oj/7oV3WuwjRmUomd7a0cPUeZHLEldjV3zD1FHp0LJUW0O1vG7nMublwxLqOUX+eumfLcOkG07CuoAZvpov+UWuuc5ykySe7wktQ5E5+4uc05cN1TELZ2eajQtGhylcjLYTh3dBYciFtJxt3UEJl03tohR3gnDcirNs95/0E4sQkskwri8KJhHZpx2+6IB0MHcsFdnd1BIe7PGzXO17/RXwqPfXYXaEFJ9y/Eg9/lr1/pxomKdadUgOOPzN/Etn2QorTNpLMAE2l3DImXksrgi/DZa2ew7dlTe+GxxTqrc3w7/AAAeL9JREFUDdrQ70g9IUlnF2OVw8D4x7SBcSxVeI6lfP3xOrPvxVsx9bdjGHRi0Zqn+byDXtyvCl0+76wc3zCxrw6F/tH5JJc7SxVLnC9RA+bYgal0MwFyvlzjfkX9/ewcz5M3L8c5+fPnKUFdGn853qwOL/DmbAbr1dTkczf2oYKSI1gNO39UuH0dqeOO4zvkvhemrbjvkOeJJC2eil1ERsaro9uLq9UUzHxF44xUDJI0qYEazLwjQm/VXPMx/EWiPfDMuPufBE704/7Hf/zH9S3f8i362Z/9Wf33//1/r9///d/X3/t7f09/7+/9PUlSoVDQO9/5Tv3Mz/yMHnrooWdL4Z09e1bf//3ff5KXmkgkEolEIpFIJBKJxF2DE/24f+1rX6t/9s/+md797nfrPe95jy5duqT3ve99eutb3/rs3/zET/yEOp2OfuRHfkR7e3v61m/9Vn3oQx/6qmrcS89EXIpBgIoiwKM4aCVJam4fnUWjyGRzi8OW/eU4+uRqbJeGkF+1xo0n+zHb4eq/kkM45TFJ0qhFFpbctnE7/gPnfnkIuT2tmxwt7Z6Or9mxDmROvfcAR1qXnozDhNMKtx0Auef6VeUYSpTWVvwsh/NHz490kVYKeLsIL+W+N5/f7/NZdIFwdn2D/Alc2yLkft3aZ+pg885ieOxbLj2JbT+3E5sQvG79aWz75cPV8Nj5OWakSFHQM4P/YjN26b/Rj5+FJJWgYy2Tfbi4AsBt409AbZ1PwO4wXuweOruNbYk5ct4GpIL49DYrBhar8aTUNIoBYkkP+0wNlSEHfTgyFWfm4zm4WDT5zYonHXJLl6RiCdj3xtHNhVqXzZoSD1/rEF6FPUWPi11wTq+53QnMsY3bvO43oA76/qPcllQsZUNlr1zYC48ddniDNQN2ftzmflUYwDppGGWagm09chCaOSUoCc2cPxDtR5wihCxTXH8uLcbKnN6Q39FKE3xrTCJ5rwWKvYlRZJaOLq+gb4KG8ScYQja2e0e093ZqkWhpL5h92UngRD/uJenP/bk/pz/35/5ceLxQKOg973mP3vOe95zgVSUSiUQikUgkEolEInH34kQN9RKJRCKRSCQSiUQikUi88Dhx5v7EMFUoxerHPiRWNkayIlcKj9A3kmAy1HNmE71TsZSmWmUdcw9KaU2r3H3IvI6kMK5tmdWmWLqGpPOSBB5TVi5egety6QBkTudMAPfvg9IlZoSXoM+S8aTEsjI3jo4jNSeVs7tmkvZZYKlDUyIGykc5SeEQFOGnPskS6Kt/Gowaa9z2obOxERwZyEnSS5ZireqXD2EClnS+FUvvi0aqWoHjn9vjeoWX5mPnJJLPStL5Rqwp/djO/dh2bxBLr1+1cgPb3hrErqXLVU4HoGdJ5eoklgxvgyGTJK2BIZuTuPcn8fGykbhT2cDtPtcMPbUYT2jumquV+LxUUlCSimD0N7hqHLlAi2wqlqm6C2voeX7OONd1j152zCi+cV1w6VoDmGNdumUdZPmjIfeNOvRJN+eQMdryPI/9O3tx3yk2zMOC9LTG5zkdgEzkXNneGmVkmb4xhimpt3Z0819bnpFMlmtHN6Z0qJbieWM4+Ro5E4rHQucct63C+6X9scTp0gf38fslo3P6VpRgv/niV8JL5j6RSCQSiUQikUgkEom7Hfcsc1/pSVHwagpMN5lmSVK5F4dkKHokcQSYzOckYWSyboxI6LgTGxRLcZTeXTOVvnBmfBRpr5iL7oJSgSK4klQ2jDOBmAXXr+h+nSFIBYgUQyph2bn6LjM0vVNxbNAZ6qFywyhRqO3URHhJQUERXInf0bjBodrWZtw50DxS/P53HmZJyHQhpg4KjgoDOBb8wtxefKwVH5Okm93YHceZte0AC36qwZKfL+ycDo+9+hQz6KfBCWxhmaUZI3Dt+b1b92Pb1UY8gDtjppWqIFNypZYOhjFDR8oLSbraXgqPVcpHryF02ygGCOMbPHF0GrGS4XCPJ/f5pXjB6vd5/Daa8XlLl7hfHdyB52Hm534z/oPCkBtX9+L5zJX/ovKrdWOqRSybM2sjhRupJiVm/Sd9ZkmHsJj1x2ZuB2XG2ChCKqDY7O1wfyZmn9hXifeMbs+ASkGznyRzYPd+SREyOM9tCSX4lpCk4V68ESov8w0TOz8wZnwzKGdYNGOfhHWmei5+L7h+1T4b/7gzxaN9nTXUC6b2glGQngSSuU8kEolEIpFIJBKJROIuxz3L3HfOSKWAXGhsxe2oNJgk1fbi0NT+A8eIlRgSbQLB1L45LUWfJhClk6RJL+4iLo8cS5Y5goaYbBNNo9I1BwumXCFcV7lnSuFtQCTdMPf1ON0XI8eSNAam2+UajoCwOrjP5IMCieqi4aSeMV0Sx4rrk3TNrgwmeWq490vldijqLDGj4XLRBOWwXAT/c1sxO7+xyDKH/iT+7QeaTMH1oC2xVZL0LWuXw2N71NklNctxuL1sOnQfOt6iGcDNYnzewSov0VSC79N7XFbubBPoEEOjEbO/ZKRVT07jWmlOTXI4iBUD1bLxjxnF72jpJUzt0nW1FplBr1fiSad9yDnKrRow98ZjYLgQ953eLp+3AMPMMXC03xgu8vutHELZMaPYo+tyDNxx2uI6SLI6SUVYzJZqfMN3DuMFqz1i+Vsd/FZGe3zDEyiH5vbPx8EEvDoKU+OLAEuOy/UvwL7AeRphvn6Zx0L1DpTQfIDbdobx+x8OXG24+FBjk58zqViMXQ7CPWeCU3X0V+JjVp0ciAwnXwel8JK5TyQSiUQikUgkEolE4i7HPcvcz0pxxPXMb8bU/dNv5lzSaeXoNogFiPDa6DDkcBynrWPuCxBddDlS5GrvonjkED42rPCsBE7sxpmciKNp2eRGOyUDoHUzfiCH5/lB14BErR3wg959CPLmzeyAUU2TN0+/TUyIxNUhnFKBxkrJVGHA6g/GNbcL/gTGeF6C6yqbCHGvF99wfZVP/PqNp8Jj5EovSWfB6GNkTCS+eeHp8FjNdI46TLJfmDKT/XKwY14rc/h/HiaWrRFMZpLmizFD9xDJzCS1JzEDWyxsYNshvIchuNJL0v2t2Ba5Z0pSbLTiZ1kxki5iq61PQC9+VhcW97BtxziXE6rgI7C+xgoYUgy0+zzJ0tpeMLng9VtxW6cWGizH1zyt87xRgFxht77WwKm7ucXn3X8Q1lhnTQLHZ2Neu8804/fv1ELbndjAgJQXktQD1dZ4mRfR6nbc1vnW9GJbE1Wc583o6J5VpMpz1XlIgepUlagIMfvJ/lrcZ52CrQnVTqo1flj9IeTrL2FTzcdLt0axlY4kVle4b5z6TjwIeytHV0a674VoHzs7unXMC4Zk7hOJRCKRSCQSiUQikbjLcc8y9yrEUbMrPwDsvIl4Hp6HP3C5aPC0XWSKIkhA3vi2Lv8GmIOGca+lKB+kTkpiJtRF04gYbNzitkOILrp8MlIqkA+AJO1fAodSw+zSc57UOX5HUWsbfKShYJQZlCJHzLzEfaO5yW07Z+Nj9v1SlN6wO+QSTbn8EvcrUrhIUmUnnlgal7hjETu/RGUWDCpGXkH11weGvhsoPv5He1xo942rT4bHSqZDE/t+Q0vYllA1lBTl+q/U+B09vhPbT3/LRuxdILF/ATmAS8ers0zsvGPuLy3Hxib7ZkEi5/K6yfW/dRAP/madbZUHUCfd+uWMYE0xk3v/TPwHi5/l93f4YHysMOZNEk0NlHMtMRN6cL8r3xIfglL0kqQR5GzPID9dkgagkCmbyhFLjXjO2TxgmvRwH0xiDCtMOczOt4bECM6npwq2GFVT5Yim0X5sASKJ+2TJrN00ztoXzKYB/Bqc38YUNmfVCnfoyY24Q08rZgwWSaqATdlp3ywZ7XPxeWt73Ha4FB8zgj1F9kC2+tkJIJn7RCKRSCQSiUQikUgk7nLcu8w9gJhQY7qJzK6ttUl58ybMUoHIpMuBIya7BPlTkjStUX1uPi9F6oiNlKQZPKu6Yd/bF+JjLjea7skx6FDqWu0L3LEa2/ExxygT0+36hsuRI4zpWZk6n8RWdzk1GiO87lmR6oPuR+Lxa8cCvH6Tgh5Gh/84bSniTTnIkvT4YczsrtV5AFNOoHPLvzqO7WsPR3zNN7rxBP0Ny1yr/olOnBC6awZSvx6/pFMm/D+YxW1dvv4BlFFZMeqKlyzH72FgOhZVQ7jd52dFjvdn5nhCIlXAQoWTZ9uQN+9qitfL8eQ/Nov36nw8VvY6XGajd8uVwwDQkuPc44E1nJW5ce1OfOLigNfBMszP/bVj+B0ZVpiqEbk1lNRvLvf99iBeOLrGu4Lm2MNrxgKeGFj3mOG4e1a0z3GeCsSGumo1uEcyazfanhxDsef2/EUog+W8STb343XQVSQZnY87dOUayyrp/TvFLb1Dx9zT++2yjRqO39amqUjSev53NMk694lEIpFIJBKJRCKRSCSOi/y4TyQSiUQikUgkEolE4i7HPSvLLw6lUhC6IHl1bZ8lK4PlWJPkpCPGpwRxLLkLSYOMFKq6G8d/nFEFSaTds1r+YiyHufXqo8ekKL1BOl45uyEo4dzvkkTLybfcsySQPJ7uR2Lp/cCY1KB5ihknKI8314zyTFc+aI2PEyj9wZXvw37lKnSBBK/f5055dXcpPHazxIZNM3iJj1diub9rWy2xHPHcfFzO7nDMkn4yZNsbse7ziVms/duAEnuS1ISBdGjcUtvjuAO4coVUCu/pTpwaIUlL1Xji6AxZuknS+7IxiiJpPXgpSpK+cDN+R/efhjpqYuOz3ohP3IeyY85QrzcBzXDTlA2sxxOLM3qb9KBMoilpRXuV2SLvr2q78XW5tEc6r0tfqsdei+qbeZ/mb/ecD2GsPHWHx+DKXJx2U1jkHMJZFx6Ik23DfpLKmUkSZRo4j1baT85f4Wtunzm60RsZ6Xa52iiium9K4d0fv0NXqrR3Ox4M5UVT+4/Sac07Inm8M1mmpc7tn+mbzn0f0TW3N1zuRPCbrrziCSCZ+0QikUgkEolEIpFIJO5y3LPMfW1XKgVRQorwDhc5mkbmC84kjow7HANHEbOiiRIRm+lKNlDEzEXD0QDFmJh0T0HcyYSkyACFos4Ss+T2HYEqwLHrxIa4iCcdN548GA13ZV6oT9oKi9TvTCSdFAPO9LACY9RF4WlmcAaCdL/W7Aki2u5+qXxUpcwdaw5YRWcEttSKO89inTvWU7di2cfaIktvumCMNpywrIPaEnMrSQ8txi6fFcNG/yGw5MtVpkqoJKErDVeGiaNoBiGx/q5ME+FOjx25WpW4T34RSvtJUqUSD7SntpierTfi8zoFTKkUP4+aKUs1q8VtCz2zqNTi+52aCbq8T8wun5bUYJOaUQwAi+ZKpNL+a2rUBnPXofzmMm84qiTMKfI4ojE66HG/un4Ii3ef+0b1dvx+Rws8fmkNdaVZiUWlkr6SRMKrQ2NYTHs3p5wjozczxeL+GfuNpN447nedIW/sqsvxgx7usBqsMIjPS+W8JakC9zRgIYrqIJ5yRsm0h6JSdxLv+d2+LupXpkrpieDr4BISiUQikUgkEolEIpFIHAf3LHNf352pHJT7OJiLo3wuOkx55lPTFn/bRMPnrschwoP7j642cPdLkUmb6w1tXf4cnddF0ygn20WH6Xk0TAk+yo1290sRUafMwBzHsmEOoDQRlfaTpCGoIGqcworP2XkM0Fhx+VV9iB47pQKVS3Kg6PHU5LHR/brxS+9/BHm1knRYjH982GVW6RDY25lhO4jp3Gkzs0v5z/ct7mLbjWbc4R83rDCVhlswHet8M76uL0E5QklqlePJYTzhCXqjHtMsO0WWVrXHcd941QqXHPzEdlyrdGOOJ516KabZ3PulfP07Xb5fUiO0Ib9VkuY34nuqlZk2LFZjSqq4y+N3Uo/ff/U6j9/BRnxdxSGfd9yKn1Xl4Oh8klMZkopp7iq33Xn50a+rD/4yBZNzv1yL54bpaaNymMbXfOMa06TDs7BJ6vK8QSyp2xPSHtmp0Oi3jTUJ9x3z6tFjwOxzaI/k1u7KbnzDjYvGUwHW2Ok+z3WVQ/g+MkpQVOSab5zmLVAZtrkxlb+2/Qrev+1X0SUfw1/thUIy94lEIpFIJBKJRCKRSNzluGeZeyl23Wamk3/T5X4cFS66tP/A0UNB6MRu7ncKUVobSYdLtjn38I4cc9+NTZFt3jzlX1HulcRqA1dZgPK9XYSX3U2539A1u/ul0KB7v5SL5vqkYKy4/DlkwV2UFsYCqWMk421g+jN5OQxdLtoYbniPB0MPXOvLN7hT9jYg+m8S0gqQpzpo8zVP4bdvV7lTVovxC54YOQkx9w5nIPlyCiozybv4E17SjKVIjZJZkABjQ99965knw2PufrqgGKD3J0mjaXxdA8NGLzZjSVBhyu+oUYmfZcVUf6i34slhdsAT1gQY5dEi51UXwI9jeIr7Rv1GPBYc84fVbFw1E1j3R0aVRco6t/4Ol2ARNcz9FObY9Sb7i5A/RX2JJWzjUTwWJoa5Rw8n4x9DcB5OtE7SGinxPsepOWkf2zfrL+036TtEksZzpH7jfkXH3R6Y9mbk4SNJ5d7Rq110Qani+hXdU3WP2x5HFR3t6ydmT3cSSOY+kUgkEolEIpFIJBKJuxz3LHO/95KCSvXnj7pMa3GkhnKQJWnSjNsWRty2dT0+5lzcKQwzMiwp5SE79p2cUfucDorRVKr7LR2Pfadaq5QfJ0nNTTivGS3keE+53hLfk4takurD1QelALA77xAMpp0SheBcZImddzWYCe5+iZ13UXi6ZveOKsA6IdMlVlAgqy+p0oA6u2f5vAWgSoaGfa/Ox2HvYoUZxwk4DN+8zVbOlFe9UGMmbAlc7e+YCXoOOpZj0A/AQtq1HVnTlBgdYNA/tn0ftn3jRszcOwXEzW5MG85XWD5DOcpDw9zvTOMBPr9uBiHg1gEv/P1uPFZml1yJjvjQLPAjehaDuG+QskaS+mfjflfd5vdLXdJVjaF9XfkWz3XE3jpV1jGGkXYHR1fe3DmM5xVi5h3KHeb8aM/gBD+o2DPKDHoPzqWfKjgcJz/anZf6LPVXSSr1YL4yfiq9fjxvuG8cqoI0IxmDTLWpY9SqH3AxE94Dm++FDqgMnf9TL/gGmhjvp5NAMveJRCKRSCQSiUQikUjc5bhnmfvCNGbiMHJlwh3UllhuiVm0kWEcG9vxMZfHRpFl50JJv+0i1mMgJdz9UqTVqRyIRXVMJzHsLp+bIoTOxZ0UFCaVVMNFUKIYNQn9tlM5UFTTseBYO9Y8Z3r/zo+B8r4cc0D92bE7pEYgvwVJglLm6LcgMTs/hRrakjQZxwO8fJMTUcfrwL7vcQifXuEMmHlJKu9DLuka00r7vZgF35jnhMESKBWu9Tgxc6cfDwbKE5fYbbtq8rl7wJJfaR/dXObMHMuyrnXj394xTOZeNz7eKfNCuFSPn9XiPCdl9wbxsyKViiTtdeD9Goa1CLnvzrtiBmPfrguwz5lALrAkFWrg8G/mdqpV7/YbBWL+jHKO5ueyWbtH5Ith1AYEp+ogpVGtxnNddzP+7RrkTUvsTeNy38kjxtWMx4pCZr9BexVk9cX369Qk1N8nru0wfg9jM/ZHnXi+KhrVzmAJvHbMWCAG3dV+J2Ws2xNS33F9kvbt1p8guOap6csngWTuE4lEIpFIJBKJRCKRuMuRH/eJRCKRSCQSiUQikUjc5bhnZfnljlQKpBwkDRrNs1aGzEacqdakenT5NPgmWUkwyYqcyQUdd6ZpJHOu7XDbAUjC3f2SoV77ArclzI5R3sKVO3Nl2I4KV36EDOhcCSBKcVh6gsfRnVfF48iWpAPJkyujVwbFsBsLNERbN1iHdXApbmzL6ME7orJEklTqUwoSx3YnQ9DBbpiLhvJgJDeU2BSv1ORJZwJS5MIBd479buyO1F3jwTB3Lh7gy2C2J0lNmBye2GPX0mY5fh7LVc4Tm4JWda7CE9bnN2PH0288B86xksZw3qt3OB3gkY2t8Fh3zAO4PYQyeiaFYXEx1u72zXm3wQTQYUal1JyOGQwEHYowjiZN1sjOYN6wprTw+kmyL0kFeFZu/UWYx0zr4Ni8+sN+3CedKV6/Ey+UZEoqSfOPx7/dM2litF5NzB6Y0h+cOV3zRnzMmTv3V+OXWD0wBnPwfm2JYzCedSkqlMpJhnnP/DgcMusvjRU3fseQ/uJK0uG+z6VMUluXukj7STOFRm3d1HwSSOY+kUgkEolEIpFIJBKJuxz3LHM/XJJKQTSHzL4o+iuxYZdjOgvAZtkgPJADxzHz6pznEzc242uuOlYYotYuajluQKR1n98RmeI5Ux4qhecM5qhfkYHcM43jQ87ojVQfTk1Cz8MpM+h4f9WYPZEZnzGaaQIx6Nq2L8bHnPEKjdFx4+j1dFzfKEBUmtRAEjNwzuxpNoxfUsGUpKvcjJkFF8GfXYw7Vr3BjFQHTABnZo4tgRFYq8mTLLHvRUMd7A3jDvDQ0i1se6YeT+41M8nujeLJYWomnVOL8WApmkHYH8V9o1bla+5Pjr5lGYzjtju3mWK9/xy/B8IUlChTKDknSQUYg8VFHgvTHoyFEvfJcQveoStZ1o2vmcpsSdJgBdSNjnGEIerWMjI7dmvocVi6/ZuxLMuu+414rIx2WP5WApbcPStSUDjVXRn2SI4lpfeAzK2EfdZ4lqoIx53aAH/bvODRQtyxJj0jMzwGaB87qTvXw6Pvg+gbZwLfA5I0/1R8XvoOkdjc2xlwRyaeE/NNdhJI5j6RSCQSiUQikUgkEom7HPcsc69CHETCshmO3YGIjGOFqeTGYIlPPC0fvXwfltwo8nkpl2m4yFE6Yuhc+S+MtJpeS+Ur6lBSUJLaoGRwvghlIFKIGZA4WkpqAknqxumvNgedzusYVsqPdCVEKJ/MqToGcF6nJqG+UzKMBaVA2nKUpFSw5eziY8UC98lpLf7xqWH98cIGphTPctyxJvcx49gAdp7KP0lSYz7uWNNPc/3N6SMxJdWocOcow6JyHXL5JWkJytlNDU1ahHc0MgvSFShJR3nxklSNDG0klQ1zP3RUGYDY9z0oKShJQxjAS6tM0Wzum9qtgOJmLOmbrZpJB/LbC2btLsAYLbddMml8aFTn91fdiX/b7ZHovI4VXv103O/2XnJ0HsuxhuRrUgTlhSRNSU7UYB+IWTceC/Nf5AdNz9Ix6LSncEwnvV+nGMCSdGYpw/LXBsQou/5Mnkf9U3zRZShTPWmaE9NPu/x1o1QhoDLHnJfeYcmUZyQFRfMmP+ddKpMJamtJqgfeYZPjeHy8QEjmPpFIJBKJRCKRSCQSibscLypz/7f/9t/Wu9/9bv21v/bX9L73vU+S1O/39T/9T/+T/sk/+ScaDAZ605vepF/6pV/S+jrQk8+DWSmOqlHevANFDx3TWYFcJWIjJZNPZvI7iDUmZk+SSpDn5qKWNcj176+bXGGI4rq8n3IXIumGFS5DhNB5KgxBfeF8AjCfzORkkyLE5gsCyeacb6lPEtssSff937H17VP/A1jMSqqC473Luad+5cYgtaWqAxLPOfU73HbxyfjEm6/n3LvRIjyQOWaG6FnWr/B5++eA2YXcdklabsXh/4Me03fNevyg914KA0XSbATu8VWeZPeG8WB56QLLhSogn2mbSefL7Vha1SQpkaT7W3HHaxgZy4euPhIee83qNWxLFQDW5pj6W6kf3bW+042f5Rz0G0kaQuLtcMjbqMIFoLP2+f021uK2zhdhBKyTVe3A4WKbF35SbZGXjsRspaOiDi6RPIrb0nrlWENiKyc158QOucJGmUH35NzjqS2p6tzx0Ry3pXz9M/+Bx+DWn4o7llMblOGaXVva8zsPCdojz8wYxC2U83loxa2pooxklChGvYrKG+dJRgpFNxRguequH92rwylfO+ef/98nZgydBF405v7jH/+4/u7f/bv6hm/4huf8+4//+I/rX/7Lf6l/+k//qT7ykY/oxo0b+sEf/MEX6SoTiUQikUgkEolEIpH4+seLwty322299a1v1d//+39fP/MzP/Psv+/v7+sf/IN/oA9+8IP6zu/8TknSr/zKr+iRRx7R7/3e7+n1r3/9f/Fbg8FAg8F/Cr0cHDxD681Ks9ARdgLO1pVDU4OZiCPD3mHOkIumAek0NRExipYOLzCLNi7H9F39BjMllAteMBFAiqaNWxzGo+oAjsmm5+zY6HETWP9j5GRT1FmSeuAG6qLSxBr3TnNbYrKnJj/yyp+P2XnyAZCYBXcqB1JuuMgyRendeek9DCjnS9LBDMaZSyUsx2OlYPLXF1fjG+4t8NivAqt4epGNEZYhB90x95QbXwSHd4nzuVfgmiTpQnM3PFYjWkHsan+aZCqSlh11BCCH/z4lmkr6tjNPhscGxtH+3Hw8QbfBSd8dL5jE2/FmPEgPycZbUr8bn7dSM3XfYSzUVrlfVSvxbw+GxjH7VLxwOFPrCeRzzz3O521txe9h76VHr7Ht1lCcn816ROd1jujktj2D+VeSmleBuT9tVJWgoBjPGW+Sm1DBwXQrqhrkfVzi+918Pb9gUsa6tZvWX6dApWllYtb9WpCTLf0x9vzAoBcmfNFj8GuYVYxq9pC8OrAp7q+dqpKes+uTdNxdM+1j7TwZdNmpudeTwIvC3L/97W/Xn/2zf1aPPfbYc/79E5/4hEaj0XP+/eGHH9bFixf10Y9+9Hl/673vfa8WFxef/d+FCxe+pteeSCQSiUQikUgkEonE1xtOnLn/J//kn+gP//AP9fGPf/y/OLa5ualqtaqlpaXn/Pv6+ro2N5/fMvzd73633vWudz373wcHB7pw4YKKg4JKxkn6+WCIEvWJRDPRGnQQN5dKba27KQT5SlVmLKYHcUgU83klLTweXxgQIc8AnkfrOj8syp2eu8KnPbwPLskFpSl/3eQa1nbjexosHf28pICQpP5afKx5k9t2z8THXMSTXGSHS9yWovTHYf0dM0RRaTcGidGo7fHD6sE7cpUjyDG7MG+YIWD2yyUe+81q/KDPNJm570LudK3MLOlgFD8Qtxx0Hl+KD65x3vwqdOg/2Lsf2z48F5fDWKOBIkmwHn2py9KbXejQJZPUOYCOd2fIpUHITf9Wh5N252rxhNY1TPZsMaZoiF1/5g/iQ8NdV9w7bjy/CrI6sU+Au+ZpJ34e1RWWg00H8aahe57H/qwMc45Rv9F85iqw1Pbi5zy8j59VbS8+5hRstVi0g+yrJLUvgrLKVCSp34p/uwNVfyRmnN0aOgXm17HRgq7jGHR6/26aHIG60a2hyOy6a4bfds+KqnqtQWUISbr5vfHxWdFUcKCqQE6hCPdbZJHSsaoSUL8qmz0w9Ss3FkJ6/OvALf9EP+6vXr2qv/bX/pp+8zd/U/W6WRD/mKjVaqrVjCYnkUgkEolEIpFIJBKJexgnKsv/xCc+oe3tbX3TN32TyuWyyuWyPvKRj+j973+/yuWy1tfXNRwOtbe395x2W1tb2thwhdETiUQikUgkEolEIpH4k4kTZe6/67u+S5/+9Kef829/6S/9JT388MP6X/6X/0UXLlxQpVLRhz/8Yb35zW+WJH3xi1/UlStX9IY3vOGrOld1TyoFhD6ZajnDNZLotLgCkNoX4XeNXI2k13RNEsuYS8ZIaAJSRu2xDJLkbM4gg+TkJCWXWEpjy51BW2+oF8vVilBSUJKaN+O2nbPctg6mLc7orX47Ptb76qpPPgdORuXkXQS6JzcWqBylk9ajcZJRI1J5RpKUSUbq5u73IL6pQZOn/34T5PFg9CVJt56OXQLPvwocL8WyfDK9k6RTUErtoM9qsdOviqX3X9oDFymxod53rX4e25agA1wbstsildHrjE2ZNSh3d6F5C9sOYAJfr3Fu2+/duT9uO8f62sNhfE/3L4E+WtI1SCWZTHnwFyFFZWBM0+qNWKM5MGX0xv34+OopflZ3hvEkPLppNjrz8fieNnnP0H1p3Lb5RdbWk3mdk8geXCIDMm5LexWX2ka/PXYmy5Cu17zOfZLOS/sYiVMJOmeNYfEBlEozz4qMC0k6L/G678r30d5tZlImKZ+rwdla+CxxTyA2hr71jdw3KGXHpXtMmrAhKXDbCpjXNXhJUftcfMyV0KQSfXb8QiaYNVsM+pWV858ATvTjfn5+Xq985Suf82+tVkurq6vP/vsP/dAP6V3vepdWVla0sLCgH/uxH9Mb3vCG53XKTyQSiUQikUgkEolEIvEilcIj/J2/83dULBb15je/WYPBQG9605v0S7/0S1/170zqkoIgPwT/baSGSod1TeYAMeit69yWWFRrUkNGJIa5F0RLa59kZmgMvkruORML7owLixC1HLFfE74jinZLUrnz1Rs4fgXddYi0mvslNYIzi0Fm3wS0yYBuWufGs2J8vxSxljgS68oWkWLAMfdomGhKD1VuxT8+MtdMZkGO7aBx5iL43Svxj7/kGy9j27mH4pd0eY/Z6EdWt8JjZVO+73Qjpg7mKuxyM4V5Y71hyvdBvdFTZWay61Aqb6nEpe6ujuJn+U0L7B66AjWC6JokaQgda3/CrPCluVhq1JuwpGsIJaDqJV4IX7ocU0eX91mZUQQ31aFh35easZPUje0lbEugso+SNANTvPJpdrcatePJvdTg51wIShBLUn+d32+5fXT2ndSAFcPeDWEerRqzNpxjzRpa6sRzsFuPaD/SNVIyMum15mVwT65tF5js+jZf8xD2OW5fR4aJ4wmfl/bXTkV6nMRnLDloytkJ7smpSGkvUwalp8RjcGTUmjRWajvGPBT2os6Qmvb8daM2iL7Lvg6I+xf/4/53fud3nvPf9Xpdv/iLv6hf/MVffHEuKJFIJBKJRCKRSCQSibsML/rH/dcK45Y0DVIsyxC0hnTPZwDRJRc9dHn1BCpPMasZlhTazlf5ovYH8QPpXDB5MJTndIwcZVeyjBjW8ZyJeMLhcdPkSO3FxyjqLElj6DuOsSAme9wy9zs9utqgDKTi2ESsKa9r7BrDYcrpk7wHAYH6bHHAz5Gi8KQGcm0px02SRtDfC+SnIWltJaasqiapswUs+bkWSzOWq3HHGtNEKKlvmN+jYoXMGiStV+J76huDkWopfpZNk8S6Uoqva2RotAlQg53Z0SvQ3HS1LAHzFU6eLRZiivXTWyyd+8YzRh4HoBKMky2eVIbzcX+embmuNh+/f1cKb3E9Hr+jMfeNWRPud2jmZ1j361DyVTJrmZm7m7HgRyNjMUDrhvUHgml0YvZmUzoOfimS1D4fHzPCG8xRHy7zNY/mIQc9ruopifeiVoUGXWcGahGJy87ZfTmc1+WCo9rPTbHFo3s4TajruC0fLO3k/yPxPZFqQ5IaoNywfQPud8SVWfGe3Ddd+CyPvq1+wXCibvmJRCKRSCQSiUQikUgkXnjcs8x9bSd2y0d3UxMdpsiUyzOu3InDOS5XifKQCy6/agUcWatMdU5a8W93BxwOp2hawSR0o8O/cUal4y4SN6vG1zXr83Mmco+YeUkagRrBReCwzxpmnhh0ly9YBGah1DM5UsCGuJx7iuJOzBjE3C3jbUC58Y5Fm0K/GixzWxpHg1W+3xL02alhOw57sbv8jbKxgQas1DiPfKsf/3bfuOVfO4hf0sE+z1elSrwwuGtehsF/qsxJu1eHhlYEfApKsDi1wR7QmWfre9j2Rn8pPm+Vz3sKkpjbhs4624z9Cx5a4ATJT96Oqc5WlRUSVGnBucfvd+MJulTjtjQzVIx6ptONn2UF+rrEY2FqcpSLW/F5rX/MUnzMuW13zsTHjuPj4pSCM8r1B2d5SeqfgfXXPCsCOdpLvFfpu3UfmO5jqVONQoL2yCXDZFNbqlggSTXct/N5yTvKbbAqh/FvWwUijFGrBO2BD4T5TsG9t9kykHeUG/tD+G1XAY3GfpXtcsL7nRiPj5NAMveJRCKRSCQSiUQikUjc5bhnmfvB2kzFgMUjV3MXeXRRIMJwCVhhqKUp8XX1gZmXpAJE8WrGYXhYjrvIgXEIL3Xj2JFzcad8IxeVJmbX1RYdLcbnHS3w/Y7m4/u1kVa437FhDuh5kA+AJLUfhJzsPsf+SBHiWIfmDWCUHVNCUXjD3E9q8Xld/noJvDqmJieMcuRcXmYB1BfOu2K0DGH6Pofhm804/NwbMc1CiqAdo/gZQ83xEbilS9IYjq+vcRi+N4onpY988hFse+YNMTVYMiqlq/3Y8f5gHDPGkvSHmzEb/ZYHP4FtTwMtsWny5i81YyqlWWQ12D4sohPDN4xmcZ+cMwWNN1qxYoD6nCTtQdmY1iqrOqbw20OTv141cwMCJofh00ZKtgEUnLOtgTmpf/roewa395qBg/gU5n3J5HM7/xgQmzjWvwgVS1ye8QTUYBOeNjSpxzdcPjQ+EODS79hZ6juuHjnB9g3ab5q9Cu3bq/tmAYaO5dZ9elaThrlo2Lu5/ty6Dtds1BUDKjribheW9u6Zo6scnEKiBH5JrgJatGecHmPafqGQzH0ikUgkEolEIpFIJBJ3Oe5Z5n5aVnx3FFUxERcKArlcFsz1N46OxNxT5EliN26q7SxJFXBydiiCY2t1z+QqwfOg/BpJ/JJMvmC5Hce7XG4WuYE6d9PiCNQkJqJNjLJVmsDzqN8y+YKn6TnzackB3jnfUo4jPUeJqwfMimYsALM/BMWHZN6/cc0tEonmZnC6LMMars1BHXRwD5ekZjke/NVjJGY6t/zBJH4gnQHTaN1efPz0fXFtdknagyK+T3djZt6BKgdI0red/3J4zLn0k5v+cpnz5itusQMMQLZVp0VD0qAYt3X5+mcasbriZg8MNSQVYSCtzPE72t6LKdhyncdCpRw/51ttZt9n5NQ9z++vfBM8Bpb5mqcL8fHSgZmwqBqR2yOZfRCeFi7LefwMjLs8npcUe27tRrXB0Z3J3dBGdtYQyrQ+mylH/VPwu05xC8rJsvEHoqpAzsOJpmC3V6HpzO0na1uwtpt31IPn7JSgDapYMXd01awDKmScHxK8I+c7FSlVJmbOOAkkc59IJBKJRCKRSCQSicRdjvy4TyQSiUQikUgkEolE4i7HPSvLL45jqQ5JsJz0utIGOZOR2ZTAZ2g0b6TIoEZ15VYIParBZuDMvCgdoHea21agepRLYaBnabye8Dk3No2sCK6rDNJ5ia/LGczR83ClSypQzs5dM5W7c9J6wvQ4JlJYPIr7rHlU6m2AgeDYSOxgXpmCEZQkzeD9OnmeQNo5Kx/9OXfMvFEGR8WFCnesa52l8FjR6OTa/VjL6FKQxvtx2/Ec6+ye7sTS+4UK59X0IZWgVeYJqwUuVE6mfghmfR3j4jlfjs97OObzfnlvLTz20DLXPGqP4t+m5yhJG414UXH96vZOLK1/6XnQokqaA2PKnS3OMRuU43HU32GXVtyPmDlnvBTrnN0+h446mSsZsY6NgS/J8p30mib/4YK76PiQ25uNXwZz4VV+v7ROuuc8gEwhZ4Y7XIz/oHnTGGLCWrb2aZ7rnvqB+CWV93j1pjLVVOpOknrr8DDNcyYDZ0oRdKASt5LUPRvnVpSMUXIJrtkZNZKRnCt1SO8BU0Aljedgz8+ZXirDNx2l2krwjTl58R31krlPJBKJRCKRSCQSiUTiLsc9y9xPK5KCSBGWtILyIhKbuXmfqKMzncTADpf5rMPV+LfLprTUAMpDyTB/WL7CsGj9NTA+c0wnXFcJmGqJGVZnnkKl8sYtvl8yuHHnJUxaJgwPhnrddWMwBwY4zjyFmIWKKcUzmo/vyRkJ1W/Hv+3KNM3q8fHqLZ5KR02ILBsjKGJoxnPGGGsxZg3Hfb7mrYOYrZyrM8uyuRdPlMM1nnO2wShsZuaNCZQNXGgwg147F0/g7R6z0d9z/nPhsQfr29i2UojP6wzmutP4uprGifNwEjODh1OmaL4INYI26lxysLwcj6ODEZ+XTPG2+syCF4GSdCaPL79wMzy2UGVVx+1uTFeWGnzewX78PIqm7awcz3XFNo/9yh6UpDMqQzLUcyolKlPsSnjNYO9G5UQlVsc501JiZwervKYsgKrjYN44rcLUX9vmOba/ETcuHxgNG+yvjFgI1YBX/xtD7YLTH+1FJKkHzO7A7J+ntfgdFg0LTn3WMcrEdLvvFOrvri2N0SrMCxILGZxSYVaGa24al0fYx1YOuT/DMmjp76j08nSWzH0ikUgkEolEIpFIJBKJY+LeZe6rUymIuBWIrT56+rrmrnDjzlk4rcnZJTZ6WnW5aHEMp+ByWG8B6+BKz0D0cGxK8RQgEudy/UsdYB0ggitJ1R348WP0DVuqBXKjbQ46vX5T+g+juI4pAcaiucltO+eoP5sILzDoBRNJr8bEnwYrZgzCGB0DMy+ZXH+TD1qDPtm9j8d+AX763JldbDscx/Nkq8qs8PZmXFrsVoOlKBcX98JjbZfrX4yfx1yF1Qbjadx3Vta43NkrmtfDY/dXOI98AvROy5iEVICNHhmq87AUs8IHhrmfh/qMlwdQS0nSbcXv/2XznL9O5fvqJabCTlXj0o5rVOdS0icPLuBxwjyMldISzxuHtZgKnUyMwmk3XlRmwK5LptysS+iGNcd5hFC+t9tvkEqNlICSYVGNGgxLmrm9Gf22OW+pHY8F5+FE72jSNGq/owsysWSs2wPT/TpVRxF+u37b5K/D0Hf9ma6LFB+u7eA0759JuTFcMgpFYO6x5Jyk4tErpLKqx/QN6juuxGIPFMZubzYKVGiZc59IJBKJRCKRSCQSiUTi2LhnmXs1Js/873kwWIPcjqDNV1AoxBGxvVeYiKc5jGhA3s8ev8baLrDgJtRaasUh7emMc6Squ3HsaHTKRLQP43uC1CtJnCPnnVHhOZvzktpgtMyN61+ML3pgcsEp72sKLLcklffj/uwUA8QOOHdT6hvOgXZShf5scjoPHgLW30WH4f1a9cwovt+JYf3HRHQ7s3zIM3eqnZVmzFYPxjznXLoY55lvNKEUhtgR/ThtnSP6GKiSM3WQfEjaKO+Fx5ZM7nvflbQA7ExidvbT/fPY9qFaLK9ZAGZekkal+JrbEz7vg61YyVAxk/v1wVJ4zL3fZUjMdf4EVLXg8iFYj0s61YjP+7RRovTacX+ewZwiSaVVuCej6JqB6q5Y4rmu0opVAQNzzQWqeOAIZagsMCuZfQ74vER5tc9eFg3fCl90txe//5LJfSfFgNsj0RrrfHpmcE/DZfOcQX3hfKfIj8F5G5CvzTAWmT3Ttkf7q6Nf88ioSGkfS+9AYnWy2+cQxovcsUg1OzX+QLXN+IYn9WNcs6muhd98OLi/vpHMfSKRSCQSiUQikUgkEnc57l3mvqgwdDFtxZEaylGVJC3ETHbxNkfhJ4tQO/YY+dyuXjXV6WwatuPMWsxYXR+zzWj/THyMWFCJHUod60C5aj24JgcXeVQPoqUmKt25CPdrcu/ISdTlwE1AEeLeEeXmkXOxxBUcareMuykx2Yb1J2bfMQdYHcJVcKBnaV4SmKlbbMzHTPfBgPOqNw9jt/z7lzhfv16KL3q5yvnr42NEyx9dunbktlQXfsUk7pWg41XMHNsBxQAx85I0gfj8y2qxw7sktYCtplx+SdqexH3jWpfXhftXbofHSoae/dwonsAfaMa/K0lTeM63x/H9SFKrFD+rQzOOlmqxCmK/y21X1+LxWzST3a1bkDjf5a1fYS7e51TqPCHVq3HbQYXt1MdL8W9Xt/maJzR/m3Xw7P8bKzOufhfv60aQwzwbM3823IX3f5r9Nma7sXLSqe6IYbWUHz1Lo2Abw+t3jHJtB3LuT/H9TmDtrt3m9aZ6AJ4353hPOAGlinWtJ7Vu11RDWIdvHPOc6fuIfA8k9glwlYzwd42imvbeowVTWQA8ydy3VagIMV4MJ4Fk7hOJRCKRSCQSiUQikbjLkR/3iUQikUgkEolEIpFI3OW4Z2X5xb2Kiv3nly1NQWrhqrxMSSVplBhYpsuEWUrd+A+qYJgnSQOQQK81WW46pLKBHdN94FmWD1neQ2UxSn2+Xyo758qAoGmaM1sEuVOxbZ4VqbahJJlk+qzzeAT5njPloT45MScugGFT9YDPO4SSdXRNEsusbDlKkJW5NIT6dnxdfSMpRImlkY1VwQXyv974ErZdq8SSYJKhS9JaOX6JI3IKkjS/2AuPVU2nLEK/605ZEtyB40slnifrBS7Dxm3jCYtKzknSHixI7prcOyQsFePUiu9Y/QK2HUxjOXHFuJauQTm7wZT7VW9q6jgBKlBicb3FJo9f3l0Nj63McYpKpQQSWZM6cTgXy7rNEqpKI+6Twx4b6U5Iim7kxJTe1LrBTYfnyGCOb/jKd8M9zY4+Tua+xH2yc1/8fss1Tn8YV+LfdilmNSj/NjQlFtGszew3JrBOOl9RNL5zZtXw25Bx88x5IbulBGZ7klTbI0M9U2YNfhrTKsSSfpsGCPscu0eCw5U7PG8MVuCaYb8oSbUdkNabua66D2kXZ83Yd6mcLyKSuU8kEolEIpFIJBKJROIuxz3L3GumkDkugtmBK6XV+nIcfXIlNap7cfhwzL5JCBd5bGzF9ztXYdOWq72l+KCJlpaoRJt5zkTQuQjvYAmi4aa8DBpoGKUCRcsnDWzKZfacgSD5CDmDObhfNCiSVAZzFceUlCHy7MYRRa1b17lt+z4+jueFcjpTE1mmEov2HVEI1rwjKg92vrqDbedLMWtMDLkkLUDbUyWWZkzghomplqQpxKuJmZfYYM6pDYh9v4G1DPlZrpZiFYMktYCd75hSpWSKdzjlCYueVdU4QF4fxYZ7p41sZ28Uv/9XzDG1S2X2JkZ293RvLTxWBXZdkvZ342t+5CWXse1/3DobHntg5Q62nQAD68rZEaYDXkMrl2OTuIJRzpGkYMAVByVgUevbZn4+E1+XY0lLsNZ1LhgFGxg0N+qsvOmM4jFK6lSJ1WJUYs9h3DD7Ojjc2DTv6BwYzLkSiyCAqrE3rBpxVVftPcxth+DTWTRiL3oPTplBDDuZKEuSYHxTSUGJ9+2jxaPPOWR6J0lVqFTr9pMjUmYYidMoUBtMpy8+o5/MfSKRSCQSiUQikUgkEnc57lnmvjCOS0hhnrGJWg6WISJjQiXlDjB/TLJgHrmLDlP0qUo/LGb+ZErDTR3jDCCibP4y/267fnRlBhGS1X2Tzw2HR8smgR3yFN01TyGKWxyaTgmPsmiipRSlXfgStz14Sfyglz7PbdsX4mO9dWzKUWuTnFW7E1/XHFcd094jcFpuqupufN5Bg6+ZStK5HPQrgzhX+GKNWcPj4A4w3R/ehQcpLoe2NYAQvaRvmLsaHrs2ZNpwpRTngk8NK3wHGPSdKcuy+rBw9A1zPwIJlCuz9rc//6bw2F992W9j21tAZzVLrCTrT8xCCVgpx+/oS32eOG4PW+GxuTK/o5de2AqPkSeGxOvv0JSMHPXjRbRy3ZSkuxgrRgpQdkoySiQz2TWvwVwXT0eSpPp2fF3DJSeP4sMEUiEWTY5ypRHTt9UK780OiZ03SjKnFiOM5uM11O2RqO1w2ewX4Z4qh9yWvJa6G6btMqg6eqZccCtua3aECLe/2ns1GU8ZJQrcE6oIJYFNj4bGW6gAimryaJLYp2nAlVnViKdn9U9x2+ia6V5OCsncJxKJRCKRSCQSiUQicZfjnmXuZ+WY/Z224phZweTulA8gj9zkOXUvQITXuG5CCquNwpLHgGMOVhuxS/SdRsxmSNJ4/+hursQad86bGwbFQKlrImrHCHdhBN+8X3LsHHHKriYQDXeO99Q3Wlf5WY3h9RMzL3EEeBKnbEqSRguQe2eYEkSFr3lSiy/68AHjTgxuro41IgfiYodZtNO1OJT+f1/5Rmz76FpsYLBWiVlQSfrN2y8Pj93fYtb/XG0vPEbMvMSO6cTMS5yTTcck6cY4pgfur/A1Ez7TO3/kts5T4WwlTjY9NCYhf+HBj4fHSE0gSXeABW8ZFnwME8e/2WJVx3eefjw89ge7F7EtrZNjs4YeDOIJDZVxktbm4nF2Y5+TSanqxIFh78qkBnPqxlO0v3IMa3xsWuf5eVyIf3sMa6QkVcAPybltY6UbcB6XpPEIzgsKRIcaqBgkZqNlKr8I7mncPHouuPVhYiHDkeE8q6bNuD/Pqq7CTnzM7QnJt6hzDpsiO19um28NeB7jlvFyAAGUG/ukUK1CtSFJ2n8obls54PMSO+8U1ZXD57+uCVVGOyG8+FeQSCQSiUQikUgkEolE4li4Z5l7FWdhhJHYeWLmJY7EOVfV4XqcX0V1sCWpezaOHrrcaLrmhslxPNeMw6VfmGxgW6wZD9FQiY34XS1zijyPFp0DPNRud06wFFk2EfwRsOBTE0kvQu1gV5eUoqm2Zi0w7M4ngM7bj42pnwEw7EVT0aAE+aLOF4Fqx7qodP9cPPYrtzg83LgFv3v26A60f+b8Z/H4HMiFlkpcn/uNK18+0jVJ0iL8ds1YDDuGnUA56meqe9iWHO+vA6svSfVCPAc/UjflHwDO4Z/Y+aEpSUL565dNouJOPz7v2TqfdzyN5+dL86xU+Mxh7Dy/VosVapL02TvxWvfgEitRauB70R/zO7rdjmVbwzE/q3o1HisFo1IqgKJgYtZuVOXB+5M8w06Y1I+eSD5ajO+pdtv0SVTOmZzsQfz+22X2RZjV4vNOK3zN6OMCygtJmlXhHZm9KCkFy6BOdUAlgrhPdi+yJKB+PV4XBqeNZ8ax8tdhb2aWOapGNGnys2puQZUNs5+k4i6di2bvvR/32QkPBRxnrlIVfWyUeZsTqnpm/Fl1IkjmPpFIJBKJRCKRSCQSibsc9yxzPy3PpIA9rOwA02mCv+T26Rw7Cb0NE7GGfP7pjC+60gaXUUPP3oZaqjNzyVgz3j0qYH5d5LEEuUzutMTOOyabyC7LvsMx5xSKOdumQxO51zttcu7ngEE3Efzanfi3qSa8xDVPx8DASFIpyJGSfA4cRf+bW/ysDoG8bXF5bh0+SEoFZmi+1I5lEAtLXEN9dxrLSfbHXG++DaH2c6awMLn0D4wDPIGUCJJ0rR+/pPN1vuYSMKEfuv1KbPvy+bjUglMMNIsxRXBlyPbilBs/Nsz9YAKM46SKbReqcVLnHqw3knS7F/fJi01+Rx3F1/VH2zGrL0lnFmI75j48C4mf1ULt6HSlW8tGwOwX9nkcTYh9N2y0rdByRDh1FCmr3HpEfkmDVUeTHv1ZFQ7ivjE0+w3aFzj/J8qdXvwcj/3918TPg96BJE1B7Td/hc/bBaGoKRyBxgnOF2GwAcy++V4ot4GNNkrQCVT1KjvvKNwTctM+FIY5Tq161zfouhqbPH77a0dX7ZCaZGI8JKp7gVv+i1/mPpn7RCKRSCQSiUQikUgk7nac6Mf9e9/7Xr32ta/V/Py8Tp8+re///u/XF7/4xef8Tb/f19vf/natrq5qbm5Ob37zm7W1BYUIE4lEIpFIJBKJRCKR+BOOE5Xlf+QjH9Hb3/52vfa1r9V4PNbf+Bt/Q3/6T/9pfe5zn1Or9Yzc7sd//Mf1//w//4/+6T/9p1pcXNQ73vEO/eAP/qD+/b//91/VuYrDoorFrz524cpxkJmbK6lBcmInOSt1j15WbjQXH++ZWg+fuhnX3JhCGRdJKsOzchL3Y5VMASlc0ZRToVIujc2jl/EZlY0WCiR2JBuS+J6c8Qrd7xRkYQ5lSAWR2IyvBCY0kjRpgfzSmC2S2jiSWH0F4waUprnAHZrk890z2JSNd46h/7ox4FJa3XEsrV+ssKS/CAP8Y7sPYNvFavzbhyOuk3hfMzY3uzPkmpItmMAvd9nlcXE+vub/YeP3sO0UXvDExN9vjJbiayJ3I0lnKnt4nHAI+tp6gU0PP1WIy8797lMPYttzK3vhsZ0Rp4pQn11tsaHeSi12VvrSLvcNqNCm3pjX3+EfLYXHxkbWW7o/vicqByyZksDGUK/xRJz+0D3PbclUC9P8xHuG1hVX1jU+PlgzmxXY102XeSyI9m5g/ioJZcxls4YOoO8cXjL96k7cZyfzZsMBezOS3UsSZfu4/eT8ZShje4nbojG02YvicVcCF/oz+JlKkiaQkVXZM3sk+Cp0KaLFwdFTkyv7kG5pTPHoG8iZWtK84t7vaO75fxsq8p4YTvQSPvShDz3nv//hP/yHOn36tD7xiU/ov/qv/ivt7+/rH/yDf6APfvCD+s7v/E5J0q/8yq/okUce0e/93u/p9a9//UlebiKRSCQSiUQikUgkEncFXtT4wv7+viRpZeUZB4dPfOITGo1Geuyxx579m4cfflgXL17URz/60ef9uB8MBhoM/hPjcnDwjPFN+bCgUsCGk5mIiw4XgZ3vmchj7VYciTUeU1iSYe/l3JYihJcPwT1D0v2rcXmhzx+wCRFVrZrWnCkPHDcRT/LNciVT6LxG5IDXVdvhaCmpK6qxl5MkXyaEUIJIq68qdvQyL+ADpsoB941u/ejR4Sr89nDF1f6L27r3S5FcZ6xTux3/dv8sS1FO1+MQ/9naPrZdbMVMJzHzEhu9iQl0TcH8yDHZVArv9miezwv9+XT1ENveV43rFa6WmBUmOBb8QpnLsBG6s5gKc8+ZyuhtjlkR8mBzOzz25RU2ATzbiifDsXXVivENy+xqeaUbr5MLdTbFq5biPnk45Ml75XVxSmIFfleS7rRj88HZPNdqKn0mbjt8GStChjDMnEJx/un4WPuiK8MVH2/fb9Z9uC4qjyuxmdvEMJ1zy/Gz7JXYmHJ6GB93zCGVSnMgj89xj088hHKztC+XpHIH9mZmT3B4CdR+RhlJZX2d0dvg1NHL51L55J5R+1HbWeno48ipG0fwDiumzPh4IX5WVLpREpsEGsPE6p34tyNm/isIxX7HKOv4QuFFM9SbTqd65zvfqTe+8Y165SufcRPe3NxUtVrV0tLSc/52fX1dm5ubz/s7733ve7W4uPjs/y5cuPC1vvREIpFIJBKJRCKRSCS+rvCiMfdvf/vb9ZnPfEb/7t/9u2P9zrvf/W69613veva/Dw4OdOHCBY3nZprWnz9iQ4ykK9dQgPIyLv+VWNIhkx3qnYbTGoa1DmW6io/yNddLMTM4o7w8cfm3KZSOkqTCOP5tU6UJ88gd6B2Z6l+aBP1Nkkom4knParhgyulQfzY5Q5SbZyqHabAKpVpMzj0Ru+OYNHqmbZ8i+E55A0oFyHGTpOouKBXMTEplbSZ1Uz6oCtdl8skINWNAQaXSHOaLcechdl2SdqAEX8nIdm4CO3+lxyoleh7rNSOfAVwZ8Xmr8DzOlo2kC/DUiHPBu9OYNXbv6NowvqeK6VcD6FffsnYZ2zZL8cThrnl7tBAeW62wMuO3rr40PPZNG9ew7eN7p8Jj9y/EyjiJ/Ri2oSygJBVhP1Is8ZwzfBjYebO8UqlaxxjvvwwUbDD/SrwvcHM7XTPOv5KqoNqatVh5s9yKJZmtGqsrtnpL8XlLLl8/fs6jFR6/4znyUuJnVQFPBadgA0GX9+kBqxZi5p9pDPsNFldgW1e2t7YVbyrGc8a74gCesyklTQqJ4YKTzcI+FkonS1JtO77m/mm+Xyp16TzJ6B1WjOguKts87R29ZOALhRfl4/4d73iH/tW/+lf63d/9XZ0/f/7Zf9/Y2NBwONTe3t5z2PutrS1tbDy/5r1Wq6lWO4YuOZFIJBKJRCKRSCQSibscJ/pxP5vN9GM/9mP6Z//sn+l3fud3dOnSc20qX/Oa16hSqejDH/6w3vzmN0uSvvjFL+rKlSt6wxve8FWda9qcSI3nj/aQc3Whz5HlCUTMil2OlvbOQN4PsJESR0RrO8YZdS2OXN03x8zQrX6cIFswuUrjeYhemWiawGPAqivgulwEnwgck7KL7LuLaFPO0HiZI+n16/Ewpoi1xGzHYJnfETHOZRhjz7SFYyYaTuoK5/BP6gt6f5I0IALW9GdiHYpGAYOE5Fku0XG7H7N7jrnf6scd/mXzXJ70s4ePhMdeMc/5zV/uxkznZo8H4Uvn49z383We64jpvDNilrQP+ev3V25j28NZPBgc+/54P06+fGWDGeWlSvw8FkB5IUlL4CNwrryHbf/fbsyCNyvMVl6oxB4DexOWVt0Eedxl6HOS9NjFL4bHPnLjJdj22858OTz2pUM+L+XrtwdMalTKcdtOm9sWy/HcPu6YCXo+nldGVcMoV+PzDgvclnLfXb6voLLStMb7jdE8KNiMQmK/G3tXPLDCfhq3m/HebLbPW3tS9JFqUpIE+6+ZySMv98ARHZ6jJKkIXiyusg8cdrnvtKdwas4pfC+48w5X4VsDmGqJ/a7GxleMlK+uKgHu3cwWeLAGGx2zvyrAVsYJEGlv1j99RI8u56dwAjjRj/u3v/3t+uAHP6h//s//uebn55/No19cXFSj0dDi4qJ+6Id+SO9617u0srKihYUF/diP/Zje8IY3pFN+IpFIJBKJRCKRSCQSAU704/4DH/iAJOnbv/3bn/Pvv/Irv6K/+Bf/oiTp7/ydv6Nisag3v/nNGgwGetOb3qRf+qVf+qrPNSvGjt2UYzODyPEzfwA5yibvZ7QIEU8TDJ/7cvzb+y/la55B5JlqO0tSrxKHvWz9yEA58cwPH8P90oHqv0I+kSTV9uJjvdNHr7PbD3Jz/jiYGbfPEeRBufslS02nGChCHd7hkrlfuiyX1mXqtBJwDBqGBl1mXWQZIu1OtUPPamqe1X1zcU7vMpXgkPSKuevhsZUSF9q9WItZp1Nlzm9+ZeMqHj8qnAM85Tc3WzxPvhTY+YrxYqkUYhZ8BEy1JH1bI7YXr1KBdQM3wvrwDgdEhUj6ztbnw2NXx+xPQIqC//fwZdj2m1pPhcf+fzuvxLavX4jZ9zP3c9WJOTAvGRkDmc44ZtgLBTbqWajG560CKyhJu52YUZ5UTf4rzIUT0zdmsKeYtMx5a+DEbjZYpS7Mz0Pj8n06pkkbdVainJ6L59G5Cs855JswdnnVh/E9VW7x/XbvAwd4bCmNoFKK2+eQp5GrckXKSdMlNYV97Mz4MVC+N+XFS1J9G6o/PMR7M6oe4GrRz0iBapSvrWtx3+k8wmOhAGoTp6qsHMJ3mVEYkzLDfQ+WusE1/0lj7mczb3RWr9f1i7/4i/rFX/zFE7iiRCKRSCQSiUQikUgk7n68qHXuv5YojAthlImYe3KolDh/A3PMDZyD5X6cpqiiccufQuSqUuTzPn24HP9uk09MsavqDkctR8T8utQsuF9XS3X35Ud32qeap50HOdJaABa8ZPLXqab8cJ3Py7lohumE91/e5XE0Xoqvq2zyBYfLwBwYNQlds4vgV47hQEsRfMc6UH+etjmhbKEcs3fnapyDXhI4SBtul+rcz5e4TjZhZMoSOGaQ0AH3+FNldsufh8dxdczGFyugnlqBXGBJGs3id3TobE0gSXkFqqRIEolYPjtYx7anSjHrX4Q+J0lLxbjvvAaYeUl6uPr85XQlabrCz/npQex90J5w/nqzGL/fVWPHPIZ3dGFhD9sSrh8y61+vxmw0eVNI0nAIY9Qwf0XwPKJa9JI0oZri2JLnb5cbTWoD8kyQpCVQV5RNgvO4B6pKc80jqDc/rfFYqNyJz+uq80ypMoxRZoyhbXWL10Fy4qd87Wf+gH7Y9CxY2yfGPb4DKoeSqcJQvhwrbyiXXxKPUcNkd0BFXDKKn3ErPm/jaX6//UvxfqNwePTP3IJR7UTzxtSZE5wAXrQ694lEIpFIJBKJRCKRSCReGOTHfSKRSCQSiUQikUgkEnc57llZvgoK5TRUKm3gZMwgVZ7VjUwdTLUKRu5CYqcplK2RpNrV2EzGyVjXm7Hhy805lvZNdmO5IsmkJKm+FT+r3jl+ziiRbvL7LW/G1zxu8XMerID0yxiuFUEK5YxmMC3D9EnSohcOeHooH8RSqfEplo2V9sA8xUj7yOTEJlWATM6ZxZDBIJkLSpwO4JR9UzLtMSaAg2n8nLdHC9j2ic7p8JiTjF5pL4XH/vy5P8S21wdxKtCNAc85p6rxfLVWYRPATx+eC4+9eoFL4c0X41JpFaxlKF0dx+X9dgpsQjQP6Q8TI0auwDu8NWEZ5KcH58NjTlo/D6Z49QLPG+sgc36K6j9JqsN7cGkXZCB5a8zjiNJQXN/4tzdjk8AHFtlskcZow5QcvL0f9/fFeU6rGY0gxWyf50maY0s7vB7NSELrjJJhEnbrbwnWyekZs6ZATl0bzBQlqXQrHqMzU/6LMiumJk1MYG7mzNrGkG45cyVhwTCRzPYkaQrvv2FSRCdQSrpi+vMoXsps6gRtZqZDc80PglnuvnHvhtfg9kgzKldY5GsuNeKxP1jjtoUK9CsoRygJze/K5v1WDp6/7cSUKjwJvPhXkEgkEolEIpFIJBKJROJYuGeZ+8pOSaX680ddJg/EkefJHke1iLByXk5k9kWmLJIkEz0mDE7HkSsqtSNx9L9cMaVpduOoV/0WNtXhI8CSOoO5tdjAaOZK8RCz64L/wOxTlF2Spmfgmk1EewbMwWzAzwpD+M7gZh5UEMZ0CU3kbD0dUM8YJpsYGjJzkjgCPDEGZGhOaEKslf34D8bGYO6Td2KG9VXLN7Htq+evhce6U54n/+ulmMn+59uPYttvW30iPPZgfRvbUmmxpRKX/ltfiUuaOYZ1CRj09SK/o5GgFB4Y5klSvRDf70IxNlVy2J3yszpbeio8VjpGCb6RqahDT2OjxCXpSMngFAPzYHr4a5tvxLb/3/XfC4+VzKJycX4vPLY34PdLxnedIa/751fj8+50m9h2eT7uO/uXzPvtxWNlvMHPqkBr+3GYeyijJgnXo+GIx/52N3ZNm5q9CpXwcsaycvcEmMC6P102Jelor2KUkYV9UCo4tUEj/u3eunkWnfiaR2dYAUN7mRIoHyXzPWH2k7oQvyNnEjebg7bwDiSp2AbTYVdqmMoVOhoavtuwJLdYNT1moaBGq8/f76Y9Xk9OAsncJxKJRCKRSCQSiUQicZfjnmXuh+sjFRvPH0UqQlTT5cFQzknrSxzV6l46OtNZ6FOptKOVa5Ck3SFH4a+149DVoGNUDlAasA1lPiTOcyv1TZkXikrDc5SE1JB5Rai+mKxxJK8CZULGO/ycp4sQaXX9Cp6zUzmUb8Tsz2jVeFdAl60cmvJfC/GzKvZMVBrK6Uwhui9JzSfj8d17kCP4xYP4uqamjB6WrjHqim87/eXw2PnqDralEl5dKBsnSUulmI3+/2x8HNsSnEdIC665bnKyi8CSr0LOtSTNw2VVgF2XpBotw0cn2I6FuQLPOT3Fz3JinC+mcNyxDftkp2Le753J0ZUMffCu+G9PfRLbUk6+G0ertbjfdceQ0Ctppx+v7csNVmaMp+B50+e+0Vw4OmvlymURRofxdRUdawi5wm5POF2I17rDTd7oHM5iv42Fs+wDQfnt4xWjJCP/J8Pql+Zg7IPyQpJmwPq7dz+lvYq55nIzvuapOy/cE+3LJakAJeuq+3zN3TM02Rk2GtQkVFpXkibgD0V9XZIKpKo1ittpNb7mkrlm0TUbPyRi9osmd34WecAcXWj9giGZ+0QikUgkEolEIpFIJO5y3LPMfaE4C1nJGeW6mHDHDFi2wRo3JlZxavJgiDYu90weObht75i8vfEkvq7yTWYdxsSwmkgcRZadt8EMnETLhyaKRyPCRIergXOmJA3qRm3QjfukTWGlyKRxy8dnecjTA7EDLn997qn4+OFLDHtDAe3rfN72S+LGzgl2AK65hbaZSumyHFlF1QNMKula5TA8tjXihLKVcswafmz/AWz7TQtXjvS7knR5cCo8NjHJd03IjS6ZcDr5CDxY28K2q0XIM57G1+QAhKIk6dakHh47BLZZkpaK7HpOuDM1yYiA/jSe606V4v4qSTvTmAltFvg5PzmMqz98rnsW2766dTU8tmXc8reH8fGSk4MB9ofxu5eknXbM3E9b3LH2u/FvOzUYnXdo1H7oeG/OW4L1qrBv1rKlo69lVAmlYBQDhVJ8vD9kJehkEc5rqvPQPmhkWH/yGGg8ye93uBBf16Rh1lBg/f//7Z17jJTV+ce/c5+9X9ldFlhAQRGkgCBb1NZf4ka0pN6aag1SahtbLERRg9ZYNU1jobaxWmOlNlWb1IqaoLZqtRQRURHqcl1BLj8RVmB3gWX2NjvX9/z+8MeUUc730V3YnRmeT0Kie97zznnf57zn9txYBiwJtl4EABfJRuXuEmIpkXgrJf/L+0b4TLt8fa38d+M1LB4DrcrXff2IWeUXshL4Q/ay7lGCpQKLMSFZr5K6HsES1BM+cbkT6bsF0slCNfeKoiiKoiiKoiiKkuXkrOYeEQ9g8XVkJ7GSRpn55XoEDbrjtZf77al/AQCxUqK55+5zSJBT+uZ27rfHIu6ynLQAkL/H3r16a/mppZfEEfAIAUpNyH5CKOV/Zb7+PuI3DQBFdmUlkvn8U7PlywSAWImQ55702eAn/LQ0PNwuh/xm/ry95HSY+UABQE8d+Y66hXy35NbRclqVWs9Imnt/iORDFb59orxDrIJW5dkhSHR4gGujJR/0jqRdA3dpeZPwu9yqh3FO8IC1LCmcR3uIKYNUl/nrj/fzKP0O6ZMRQUZFbuKzK2jfW6RwvoQhJI6A9K66iP96jZdHrW9O2Du8lDN+bKDFWvZRlGvfGT1J3l+3hu1ZJz7p4R9wodfer9oi3Ce7KmiXUYGQq77DZ+9XB1tLaV2KEImd5Zx2ufm8X7LFPl712g0vPrs3nRcEDTqxfpNi/BgPsTIUsj+4j9oXJLEC/u1T60aSEx7gazfJUgG9dhnFC3hVGj2exBAAAJOwvyt/O6/bS9YjAUELzobgpBCnx3fEXjk0llYFovY2x8uETFUh+zN5e/ren6W6iQIST0UIxREhw6hbivBP5Cv6zSdJfC/B6M5myGAGP1i+au4VRVEURVEURVEUJdvJXc190mU9YWY+J1K+TBY5NUnyjgKAm2kGpUjs5GQqUsnrMo1jciSv6zA/c6HNLDgxi/QK8NNyj+AqWrLbXnb4PF6X/a6gREOUKNEkqw52qsl8+QGAuLBSGQA804KofCXN8gpWDnlEEdozou+WCol8wS9T8KFixIkFBc2xDK5Vkk6lQaxJpEjO3Qm77+ylxVz7zvKCF7i41pDX5cfarK6kUY4Tn3yfkFOc1hUGu1KPfXDoMtzCKeiy/26RoOms9do/pKSgNYyTZ4oI/Xmc365BZ9ZeANe+S3ERIiQoyo5wDa17dr79d8t99uwOAFDitU86Tj5/V7u77DEkJJhmX8qD3nHEXtdfwL/fWK99UvGRCOASiSi3YukYb1+cBQ/yurFyYt0oZBRi6yvB8AaG+NUX7eBa4e4xgn87webvCwCuan7fOOs7gubef9ReHisTgsAQxLU3WT8bYhULAPmf2OVAwpZ8dm+WuUlYT8RJXATHx+t6O+0dzyFZfwCuYZf6s/+ovW7vMG4xULTbfvMws/QEX3tLbQ62kT4pGLe5BMscXvkr/n0AUc29oiiKoiiKoiiKomQ5urlXFEVRFEVRFEVRlCwnd83y3cZqzuojAbsiQ7nZiaeLBHoTTM2JZR8iFZJdPikSjmiY2VFJPrdx74mS4ClCoIpYqd10yB/q+7lSQgjaEjqbBC5s53WZ+U+ikMsoVkbMioTHZab1rEyCWGV/Vk7SFTpBwZSRmKsVHODfQucYYuoW7ruJu2Tal/ep/d49I/tuUuj4pCA19jIWTBEAYmXEZLSaR3z5eqHdR0VKhfYJCXyWJKbkABCH/YGPCB+D32U3KZXM8ndF7abZI3xHaN0e4ofyr2g1rfv90vXWsuZEEa0bJG4KRW5uPs3M2KVAfj0kumhEiDzKyqV0hXHSrojhqbTayeDfHuMTQ5vPHqxvTw/3bZtQbA/ymOfhZuojC+2Tzv5wKa3bEbUP4Ed6hImQjM+xdj4xeEvt40q8V1o22sezwF4u3+gIe3+PlfJ+5esgLnX8Z2kKXG83H5+TJEVq9xlCSixiXm0Elys21xkhbS9L6yulk2XrSclMnbU5KZnls4ywwhopTtZuhqWaFZBcRJnLhksIHOzvtJf1Cu6WbOiPlwjrHPY6hFcVHspSHUrrK+YiKrhrselZaLOvi7gBCuOGTUZCVtYBQTX3iqIoiqIoiqIoipLl5Kzm3h1zw+22nF3042SKnYiJGnQSoEyI9UTTzwjxi2igP9cpDPzAAqCwlBkA4JDTVBZIBgASJIiJlOaFBfqT0iSyZ5JSiEQr7B3ALZzgs4CJLuELT7J+JcRNchENjZSSjn0rAcG6opec0nqF03CaTkkKikfehxRs0fGTVDwkgA3A+6QnyAMnFbvtOTZbklyjnCTv45DDU5axlHQSjm3cBhATtNEsnd0I31FaN0gsBraGR9C6jxz6H2vZRcU7hd+1d6ytLEongJdbJ1vLrqzeROsySwX2HgEgRlSdHUIUzyhRs+ULlgoRUjeS5Oq7t1rtuaeK/Px5w0SF0y2k0Tsas6eUlILi7dlrH7BcgqazpNyeRq8DXOufCLHFCq1KtcKRWj6puLvt/UqaB6n2XUgXnCRtFi3nyJpCSuuaJNYV3m4+1rE5BXEhnSxJrxoexsfu4KG+a1iZtZ8kXxakl2QT/X+IfAXjCvZMUt9w+8laNNZ3k0zREpSMDVIwvkCb/UMSvyOi6SaZdQEALppik/crZv0orc2YhbHUJ+NFJy7vj7XtyUI194qiKIqiKIqiKIqS5eSs5h4G1sMe5sMaaJNOS1mZoI0mh+GSrzDTZHu7hDaTk8dYktft7bE3WjrVYqdpUvoR5p/jBAVTBXIw6RAfKABwJcmptOCbxdLKJfL67tcl9aso8fmTUtKxNksaGpY+KC65gxIFjhRTIVFETsOFOBDBI/aHiglmLB6i3PPyTFoIDyPWMyxFJkDl4PHw/sxSh43wdtC6+cScKNgPk58u4VMoILeWTqM9pF0BEgcAAJhOcV7FO7TuftJpPYJZFkvRV+rmqpI7Rxy0lvlZzldwKwhHeNM0XaGgVnJI3U6Ha/33xuy+8RUBu6YaAEYW2E2COuN8QooS9U9PgmvuQzH7M+V7uSa7dri9za0f8RR7HjIvBIVUeJEwUbMFeb9ykfSNJsKXnCylleT/ytY5Ul2GV0pj22v/jhJlXKXMtJUlO/nvtk9kwWdOXdyaaCVZmwlrJGZZJ8VF8JPpKs4NyahlLNcY83Ws5L/u9tnLpdTZsfK+a5RdxBJFWm/Ei0ibg1JaZrK3OizksyNIqQ7Z911gnyIBAJ3MgFEwQLStY03fs4WeNFRzryiKoiiKoiiKoihZTs5q7h2fASwaT+qjLmikEgUk+qUUoZT8ruQL7hANXTJf0kbb29Ub5c4hBZvtGg3Rz5hZKogqOHa0LNRlyuh++O1JbfYQZUi8mDea+fMzbTMARIiGRorl0B8tOPMVjxfx5y3cS7R3Z/XdX1uKbRBjp7RC8Ap2Wi7GGCDakMgQwU+R1Q1zdQeLHl/j6aJ1o+RDc4SPkGn2fULdCCkWLQaMvXJU0GRHjL3fRcQI//Z7dzqCmRJB1PrD/rtSxHuuuRfGHBLVXoqLwOIxtMZ5jIG9vXbN/baQva8DwKQye8T7jji3GDgULbSWRZJ8ImR+9ZEEr9vebdege4byUN2hkL2uT4jVwfAc4v0qSeYUSWsYKyFzmaBhZZpfFrcE4BrHpGApmCy0v0tPZ9+X2J2jeTlbMzjhfizthXUs077HhvB+xWQkDM90evbxqQw9I8i6XeiTfhJNXbIYYBYUwvDMLfaEuFPMqjLvAB+fWQgRydrAE+m77zuzUC3ZLWRfGmUvEwyr6J5A2tPZLAacvi9hTxqquVcURVEURVEURVGULCdnNffuuAtuj+XUhRxp9EfDKuVxZCfP0gkRU+CYQuHIk0RdjXbxY63oGHIqLURzpXlYJZddUi75dbH8vpJlBjs9ljQHsTJyOiw0mfn1hYdx+QZJnIiY0J9ZXeZbB3BtteS3FyslJ7yCa5abnLQnhdgGwUNEi8ZdWOn7kPoz0/ozaxGAn2gH87hzVxfRGq8J26OHA0AHCW9b6LFH4QeAUo/dV5xFhwd4FPf2JA/IUOsLWcukCP6rOsZZy84RHPdY7vY/Nn2D1v3WmA+tZZ/2ltG6E4v3W8sCLLAFgAMRfm9GiGi6uwVVSbHP3neGCH7zzPf94qrdtO7HYbvWv4i0CQD2h+0WBZL2vTdOrByEmDeJuL3cHODWBsli+9ztRHmbmaabaeYBwNNJLEIELTibY5k2EgAc4t/sIX7xn7XLXtcn+AonSLukeDl0XhCel+Zn74cW3BMWrBuZSlCyqiQ/nMznlcNDmb8+r1uwz163t1qIMVBK1rHCOifZS74zv+CvTywnJWsSpkGX1nXMKiBRzi0z2J7AK2SbYv3q6Hje5v7EcmDfoLTXsHVnk+x7jK2ThWruFUVRFEVRFEVRFCXLyVnNfckuFzz+E5/IRInCQsrx6ZTYT65cXfx1Mg07y7MKAIblphTUwv2p6y6ya39YjnSRPH60bFi0T+FE2xWzn1kZIVo+YvaTRxY1FQB66/rux5joh48OsxiQTh4jlm8EgHiyzCKYSifacFhgBEFDY7PIAQCivQGA8DDSZiH/q4ucpEtaFm/I3q8kX8MYcdl2Ce+q2ttpLWOaeQA4J2jXCjPtOgAUE81+vovnFC/12FMPnOlvo3UZbkFzP7tirbVM8l9n/GHaM7Q8TqL4e0gOXoDnm2fWBABwdkAII0zoIlHti9zcF9xHOrzf1fcxVOKcPLvP/aEEC8YBFJBUGds6uK9/UcD+LXRFeTwGh+Qrdw/l1gauSN+jUycLiN+8NP+SfmeEOYUNhdIYy6z94sWSKtteJPkKI0rGdmFeZxpWyb+ZWnMKwxWLmeLr4Dq/aKX9XYpxiUh2HoesNQEgQdYUkmVk9wT7uFK8hat2u0aTFy2sc0gYFykZEbVE8QpWs3GiYfcI2bUShX1fjAYO2eUbtCf+AABEiTVneBT/fpmiXDD2ozEmHDIOAoDvsGVwEGJ8DASquVcURVEURVEURVGULEc394qiKIqiKIqiKIqS5eSsWX5onAO3JcCdky+YaBG8eSRITbfwOr3EfLqEmyRRiBk6AICZGyeFusQ0iAZ0ATdFTgjmeS7WLCkbFgkkJAV8MV77D0crBDM5ZhIuxQCM2O3oXDEhaEulve8EmrnJWbTa/q4MC0wI7v4gmW5GSfq+YCs3G4vUku9X+LRNEekb0vP2EHNT4XnjJaRhwifI7u0lKTIB4DAxNx7qO0rrBklAtgI3N613kw4v1fWQum7J/vIUEQQ3F48Te9SkYKsaRN/HfmbiLpnlM5i5P8ADJkruDyygopT6j71Lqa4UULGvHOqxp8kDgNGldnvUBHNPAuDx2+XrJPqum3GRtQgAwE0m2S5u803NeoW5mwbUk4KWstRwQrpglopYCvQmBpEjxEv7noqWutxJ6ysyl8UL++7+ILkh0EBwwlwGEnzSJaSSBlm3d50huB8yV04hjZ6LpM72HeLjc6yKjJNHBNN6VlbG57Lgfvv3HReel63rokLKX5qmWnBbZt+CV3BDcIj7izTm2MY6lrp8oFDNvaIoiqIoiqIoiqJkOTmruaeQ0xg3OSkHAMNOloXTUrAAdGJuODvs1BkAHPK7PqJdB4A4iRXkElJbFO6zl3e7eNdjJ7wekjYOEJS3gnaWikESUQ95JiH4IDvxllJ5gARdipYLKUSO2tucFLQdDI/Qr1ggISkdJTvhDRzh30KExb7qh1aYpY8B5EBDDIdoDsJhHtiusWOktWxEfjGtW+HrspbFhShTRSSgnpSijWlYmaYa4NrqZD/OsqVAbxGn7wH3WLA+6Xkd0rG6kjxYG7PM6EjwNGs+NwkOK3R21jek98jky54HAI4m7JGVWiM8oF5zdyktZ4RI0LyOCH/PiR774O+SUtESC0Uj5RslmjIfCYoGAAlipSRpWL1d9t9lKasAwGs3JkF4OP9dlvqPxFIEAMTK7HX9R/nvxsj8zMZ9AHwtI7xn9rxSala2lqHaVwippMk6BgBcRGvMygAgSQIlu6T3TO4tWhkOs8uIWvMB8HSStZmUCo9oq5PEmkC6t/+ooEEna9UkX6pQqx1pj8OsTP0h/rssMHSUBLsF7N+oSWgqPCuPPfYYRo0ahWAwiPr6eqxfv36wm6QoiqIoiqIoiqIoGUlGau6fe+453H777Vi6dCnq6+vx8MMPY+bMmdixYweqqqq+1D18ITc8ltMep5v5Vwnp7MgJkUc4tXQlyL1FX3CSBkTQCgcOk/sKxzuug0STIhx4MiVMVSN/4O5aIiPhBNB0ktM26UCNGVcI7ypAXJhLPuGav7bJJOWRdBrebu9XkkEI00oYISUOc+n125W+AIAEVSoKz9tBtCw8CxdKthNfQ54ZDr5uXs7wEKVijCsN4XjtbQ4X8pPljfuHWct25Vfy3yWdJ+jl/TnPF7OWxZJ8jGW/m0/uC3CffCntWEnQ3nnaw7xzFPjt7YoLWlKmBY8K7ypG/FCL/Fzl2BWzD6R+D9cqJUisloCP9432bvu7LC8k6lcAhvSN3jjX+uf57B/hwQ+r+e9W2t+l91Per7pG28sTXdwsK3+vXf6SsQhb50iwsU4wCIH3IOnvwnxU/iGxUqruu3VU4Ii0NrOXSZp7N9E4S2Ev8vfb6yaE+YjJX5qrSMgMRPm0ACZEKZMls1B0s7VmP3HH7PcWDH6oRYiQERbBA2RtJq29+5EVlEwpcASLH9Y3AiH+u8zqw7A4HuDr+niRZDbLLI14TV8P2RQIC2jHd+J3mexHGtKTRUZq7h966CHcdNNNuPHGGzF+/HgsXboU+fn5ePLJJwe7aYqiKIqiKIqiKIqScWSc5j4Wi6GxsRF333136m9utxsNDQ1Yu3btF66PRqOIRv97tNrZ2QkACLYDHstJUJwEtx3zVCtt34HL7U67kkaZaXY9ca5Szm+xHy92juSn/9VrDlnLDjQMoXXZ6XH5DsEflBxeddXxk62Cg/YjXm8vf1d5LXafzu6R3MexcK9de9c7lKssCj6xq6sTRbxzVG+wl8WK+BlceAjRooWEGAPk1skgP7WM211YEWwX+nOrvT9L1gZ5TfutZQe+M5rXPWzvV2XtvD+Hq+zDZcXbn9K6XVNqrWXGzb+Fsp121dH/juF9I7nXLqSe0VxGDtHOhg6V0LqlIztoOSPUbL936Qh+X6a5795UQeseHWf/fqUo/R1h+7iSaCYfCoDCM0P2ukI2k0ST/V11ns1VFi7yTNFOPl4Fiokm28u/o+hue6yHjrOELBtx+zeYiPLvqJvE0xFCG8CJE4sfEvEcAPy77ZOopN9JkunKK2ikCpvtZb3cUAEkLAK8gnXU0DWd1rKD3+BxPsJVxIJN0GQGOuxje9V/eKND4+wyCgrzQqSM+HML1o3xAvtkJ8mXWQUM2UwECKBjtP37Dob47zoe0uao8P2W2OuyuRkAemrsfaNsJ1e/99T0fasTI20u2cY7ZXet/Xel/txLluaSVj9ApknJmsQTIdlqhN/1krol6/gaqfXyOmuZX1hOsG9fiiHBLAqqNvB+FSk/8c2TQoargSDjNveHDx9GMplEdXX67FNdXY2PPvroC9cvXrwYv/jFL77w92TMPrglifVPIsltsJJRcl9aE0gyi1Jhc59I2DtZMsYHRfZM7D0BNPsIEnFhc88y8AkLsUScVBbflf2ZEoKJO69Lq9L3nBACbLB3mRACzSRJyhxpkKGbe8mMisUPFH6X9Wcx/Yhj/5DY9wnwfpVI8P6cjJGNhcPHjUScjBsk2M9n7bLf2+kVgmlGSFCeMH9XhmwsHWGBnwwLtqwEp5e8K+G+hmxYkxH+vC7yPth9ASBJUpo5gokee6aksLmnzyTIlwWQdIQD1KTX3mYpzZpD2izJNxknqWiFOSVJvm9JRk4vWdUKKcv6ZaLJ0o4JnxhbbwjLHICUS3FHE0ki3yhXRBgyxxphgcXHdmGdQ9K6SuscGqxNirHsI+n7hLps7pafl7h5CvJlm3sxbS8JqEfXfODrnEScL87Y3C2RJMEHE2Q8kn7XCBtl9o1Km3v27YsZUokMpTaztbm0RmJ7Eel5Wd8xksszWed6+ijf5P+v94z046cQlxnMXz8BBw4cwLBhw/Dee+9hxowZqb/feeedWL16NdatW5d2/ec19/v378f48eMHrL2KoiiKoiiKoiiKAgDNzc0YPnz4oPx2xmnuKysr4fF40Nqabh7f2tqKmpovmsQHAgEEAv81MSosLERzczOKiorgcrnQ2dmJESNGoLm5GcXF3CRMyWxUlrmFyjN3UFnmDirL3ELlmTuoLHMHlWVucbw8i4qK0NXVhdpauzvmqSbjNvd+vx9Tp07FypUrcdVVVwEAHMfBypUrsWDBArG+2+0+4UlJcXGxfkA5gsoyt1B55g4qy9xBZZlbqDxzB5Vl7qCyzC2OybOkhMclOtVk3OYeAG6//XbMnTsX06ZNw/Tp0/Hwww+jp6cHN95442A3TVEURVEURVEURVEyjozc3F933XU4dOgQ7rvvPrS0tGDy5Ml4/fXXvxBkT1EURVEURVEURVGUDN3cA8CCBQu+lBm+RCAQwP3335/ml69kJyrL3ELlmTuoLHMHlWVuofLMHVSWuYPKMrfINHlmXLR8RVEURVEURVEURVG+GjxBq6IoiqIoiqIoiqIoGY9u7hVFURRFURRFURQly9HNvaIoiqIoiqIoiqJkObq5VxRFURRFURRFUZQsRzf3iqIoiqIoiqIoipLl5Pzm/rHHHsOoUaMQDAZRX1+P9evXD3aTTmsWL16M888/H0VFRaiqqsJVV12FHTt2pF0TiUQwf/58VFRUoLCwEN/5znfQ2tqads2+ffswa9Ys5Ofno6qqCosWLUIikUi75q233sJ5552HQCCAMWPG4Omnnz7Vj3das2TJErhcLixcuDD1N5VldrF//37ccMMNqKioQF5eHiZOnIgPPvggVW6MwX333YehQ4ciLy8PDQ0N2LVrV9o92tvbMXv2bBQXF6O0tBQ/+tGP0N3dnXbNli1b8I1vfAPBYBAjRozAgw8+OCDPd7qQTCZx7733YvTo0cjLy8OZZ56JX/7ylzg+OY7KMjN5++238e1vfxu1tbVwuVx46aWX0soHUm4vvPACxo0bh2AwiIkTJ+K111476c+b6zB5xuNx3HXXXZg4cSIKCgpQW1uL73//+zhw4EDaPVSemYH0bR7PvHnz4HK58PDDD6f9XWWZGXwZWW7fvh1XXHEFSkpKUFBQgPPPPx/79u1LlWf0+tbkMMuWLTN+v988+eST5sMPPzQ33XSTKS0tNa2trYPdtNOWmTNnmqeeeso0NTWZTZs2mW9961umrq7OdHd3p66ZN2+eGTFihFm5cqX54IMPzNe//nVzwQUXpMoTiYQ599xzTUNDg9m4caN57bXXTGVlpbn77rtT13z88ccmPz/f3H777Wbbtm3m0UcfNR6Px7z++usD+rynC+vXrzejRo0yX/va18ytt96a+rvKMntob283I0eOND/4wQ/MunXrzMcff2zeeOMNs3v37tQ1S5YsMSUlJeall14ymzdvNldccYUZPXq06e3tTV1z2WWXmUmTJpn333/frFmzxowZM8Zcf/31qfKOjg5TXV1tZs+ebZqamsyzzz5r8vLyzB//+McBfd5c5oEHHjAVFRXmlVdeMXv27DEvvPCCKSwsNI888kjqGpVlZvLaa6+Ze+65xyxfvtwAMC+++GJa+UDJ7d133zUej8c8+OCDZtu2bebnP/+58fl8ZuvWraf8HeQSTJ6hUMg0NDSY5557znz00Udm7dq1Zvr06Wbq1Klp91B5ZgbSt3mM5cuXm0mTJpna2lrzu9/9Lq1MZZkZSLLcvXu3KS8vN4sWLTIbNmwwu3fvNi+//HLa/jGT17c5vbmfPn26mT9/fur/k8mkqa2tNYsXLx7EVinH09bWZgCY1atXG2M+m+x8Pp954YUXUtds377dADBr1641xnz2UbrdbtPS0pK65vHHHzfFxcUmGo0aY4y58847zYQJE9J+67rrrjMzZ8481Y902tHV1WXGjh1rVqxYYS6++OLU5l5lmV3cdddd5qKLLrKWO45jampqzG9+85vU30KhkAkEAubZZ581xhizbds2A8D85z//SV3zz3/+07hcLrN//35jjDF/+MMfTFlZWUq+x3777LPPPtmPdNoya9Ys88Mf/jDtb9dcc42ZPXu2MUZlmS18ftE5kHK79tprzaxZs9LaU19fb37yk5+c1Gc8nWAbwmOsX7/eADB79+41xqg8MxWbLD/99FMzbNgw09TUZEaOHJm2uVdZZiYnkuV1111nbrjhBmudTF/f5qxZfiwWQ2NjIxoaGlJ/c7vdaGhowNq1awexZcrxdHR0AADKy8sBAI2NjYjH42lyGzduHOrq6lJyW7t2LSZOnIjq6urUNTNnzkRnZyc+/PDD1DXH3+PYNSr7k8/8+fMxa9asL7xvlWV28fe//x3Tpk3Dd7/7XVRVVWHKlCn405/+lCrfs2cPWlpa0mRRUlKC+vr6NHmWlpZi2rRpqWsaGhrgdruxbt261DXf/OY34ff7U9fMnDkTO3bswNGjR0/1Y54WXHDBBVi5ciV27twJANi8eTPeeecdXH755QBUltnKQMpNx93BoaOjAy6XC6WlpQBUntmE4ziYM2cOFi1ahAkTJnyhXGWZHTiOg1dffRVnnXUWZs6ciaqqKtTX16eZ7mf6+jZnN/eHDx9GMplMe6kAUF1djZaWlkFqlXI8juNg4cKFuPDCC3HuuecCAFpaWuD3+1MT2zGOl1tLS8sJ5XqsjF3T2dmJ3t7eU/E4pyXLli3Dhg0bsHjx4i+UqSyzi48//hiPP/44xo4dizfeeAM333wzbrnlFvzlL38B8F95sDG1paUFVVVVaeVerxfl5eVfSeZK//jZz36G733vexg3bhx8Ph+mTJmChQsXYvbs2QBUltnKQMrNdo3K9dQRiURw11134frrr0dxcTEAlWc28etf/xperxe33HLLCctVltlBW1sburu7sWTJElx22WX417/+hauvvhrXXHMNVq9eDSDz17fePtdUlH4yf/58NDU14Z133hnspih9oLm5GbfeeitWrFiBYDA42M1R+onjOJg2bRp+9atfAQCmTJmCpqYmLF26FHPnzh3k1ilfheeffx7PPPMM/va3v2HChAnYtGkTFi5ciNraWpWlomQg8Xgc1157LYwxePzxxwe7OcpXpLGxEY888gg2bNgAl8s12M1R+oHjOACAK6+8ErfddhsAYPLkyXjvvfewdOlSXHzxxYPZvC9FzmruKysr4fF4vhC5sLW1FTU1NYPUKuUYCxYswCuvvIJVq1Zh+PDhqb/X1NQgFoshFAqlXX+83Gpqak4o12Nl7Jri4mLk5eWd7Mc5LWlsbERbWxvOO+88eL1eeL1erF69Gr///e/h9XpRXV2tsswihg4divHjx6f97ZxzzklFhz0mDzam1tTUoK2tLa08kUigvb39K8lc6R+LFi1Kae8nTpyIOXPm4LbbbktZ2Kgss5OBlJvtGpXryefYxn7v3r1YsWJFSmsPqDyzhTVr1qCtrQ11dXWp9dDevXtxxx13YNSoUQBUltlCZWUlvF6vuB7K5PVtzm7u/X4/pk6dipUrV6b+5jgOVq5ciRkzZgxiy05vjDFYsGABXnzxRbz55psYPXp0WvnUqVPh8/nS5LZjxw7s27cvJbcZM2Zg69ataYPksQnx2Mc4Y8aMtHscu0Zlf/K45JJLsHXrVmzatCn1b9q0aZg9e3bqv1WW2cOFF174hbSUO3fuxMiRIwEAo0ePRk1NTZosOjs7sW7dujR5hkIhNDY2pq5588034TgO6uvrU9e8/fbbiMfjqWtWrFiBs88+G2VlZafs+U4nwuEw3O706d3j8aQ0EirL7GQg5abj7sBwbGO/a9cu/Pvf/0ZFRUVaucozO5gzZw62bNmSth6qra3FokWL8MYbbwBQWWYLfr8f559/Pl0PZfxepV/h+DKcZcuWmUAgYJ5++mmzbds28+Mf/9iUlpamRS5UBpabb77ZlJSUmLfeesscPHgw9S8cDqeumTdvnqmrqzNvvvmm+eCDD8yMGTPMjBkzUuXH0ktceumlZtOmTeb11183Q4YMOWF6iUWLFpnt27ebxx57TNOnDQDHR8s3RmWZTaxfv954vV7zwAMPmF27dplnnnnG5Ofnm7/+9a+pa5YsWWJKS0vNyy+/bLZs2WKuvPLKE6bhmjJlilm3bp155513zNixY9NS/YRCIVNdXW3mzJljmpqazLJly0x+fr6mTzuJzJ071wwbNiyVCm/58uWmsrLS3HnnnalrVJaZSVdXl9m4caPZuHGjAWAeeughs3HjxlT09IGS27vvvmu8Xq/57W9/a7Zv327uv/9+TbfVB5g8Y7GYueKKK8zw4cPNpk2b0tZEx0dLV3lmBtK3+Xk+Hy3fGJVlpiDJcvny5cbn85knnnjC7Nq1K5Wibs2aNal7ZPL6Nqc398YY8+ijj5q6ujrj9/vN9OnTzfvvvz/YTTqtAXDCf0899VTqmt7eXvPTn/7UlJWVmfz8fHP11VebgwcPpt3nk08+MZdffrnJy8szlZWV5o477jDxeDztmlWrVpnJkycbv99vzjjjjLTfUE4Nn9/cqyyzi3/84x/m3HPPNYFAwIwbN8488cQTaeWO45h7773XVFdXm0AgYC655BKzY8eOtGuOHDlirr/+elNYWGiKi4vNjTfeaLq6utKu2bx5s7noootMIBAww4YNM0uWLDnlz3Y60dnZaW699VZTV1dngsGgOeOMM8w999yTtmFQWWYmq1atOuEcOXfuXGPMwMrt+eefN2eddZbx+/1mwoQJ5tVXXz1lz52rMHnu2bPHuiZatWpV6h4qz8xA+jY/z4k29yrLzODLyPLPf/6zGTNmjAkGg2bSpEnmpZdeSrtHJq9vXcYY0z/dv6IoiqIoiqIoiqIog0nO+twriqIoiqIoiqIoyumCbu4VRVEURVEURVEUJcvRzb2iKIqiKIqiKIqiZDm6uVcURVEURVEURVGULEc394qiKIqiKIqiKIqS5ejmXlEURVEURVEURVGyHN3cK4qiKIqiKIqiKEqWo5t7RVEURVEURVEURclydHOvKIqiKIqiKIqiKFmObu4VRVEURVEURVEUJcvRzb2iKIqiKIqiKIqiZDn/B4N1aeVJ3YD/AAAAAElFTkSuQmCC", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, axes = plt.subplots(2, figsize=(12, 8))\n", "timescale = np.arange(waveform.shape[0])\n", "axes[0].plot(timescale, waveform.numpy())\n", "axes[0].set_title('Waveform')\n", "axes[0].set_xlim([0, 16000])\n", "\n", "plot_spectrogram(spectrogram.numpy(), axes[1])\n", "axes[1].set_title('Spectrogram')\n", "plt.suptitle(label.title())\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": { "id": "GyYXjW07jCHA" }, "source": [ "Now, create spectrogram datasets from the audio datasets:" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "execution": { "iopub.execute_input": "2024-07-19T06:15:58.881764Z", "iopub.status.busy": "2024-07-19T06:15:58.881128Z", "iopub.status.idle": "2024-07-19T06:15:58.884914Z", "shell.execute_reply": "2024-07-19T06:15:58.884323Z" }, "id": "mAD0LpkgqtQo" }, "outputs": [], "source": [ "def make_spec_ds(ds):\n", " return ds.map(\n", " map_func=lambda audio,label: (get_spectrogram(audio), label),\n", " num_parallel_calls=tf.data.AUTOTUNE)" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "execution": { "iopub.execute_input": "2024-07-19T06:15:58.888084Z", "iopub.status.busy": "2024-07-19T06:15:58.887627Z", "iopub.status.idle": "2024-07-19T06:15:59.129862Z", "shell.execute_reply": "2024-07-19T06:15:59.129174Z" }, "id": "yEVb_oK0oBLQ" }, "outputs": [], "source": [ "train_spectrogram_ds = make_spec_ds(train_ds)\n", "val_spectrogram_ds = make_spec_ds(val_ds)\n", "test_spectrogram_ds = make_spec_ds(test_ds)" ] }, { "cell_type": "markdown", "metadata": { "id": "6gQpAAgMnyDi" }, "source": [ "Examine the spectrograms for different examples of the dataset:" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "execution": { "iopub.execute_input": "2024-07-19T06:15:59.133578Z", "iopub.status.busy": "2024-07-19T06:15:59.133109Z", "iopub.status.idle": "2024-07-19T06:15:59.354174Z", "shell.execute_reply": "2024-07-19T06:15:59.353299Z" }, "id": "EaM2q5aGis-d" }, "outputs": [], "source": [ "for example_spectrograms, example_spect_labels in train_spectrogram_ds.take(1):\n", " break" ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "execution": { "iopub.execute_input": "2024-07-19T06:15:59.358620Z", "iopub.status.busy": "2024-07-19T06:15:59.358092Z", "iopub.status.idle": "2024-07-19T06:16:00.527674Z", "shell.execute_reply": "2024-07-19T06:16:00.526895Z" }, "id": "QUbHfTuon4iF" }, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAABRAAAAL3CAYAAADyemkwAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/TGe4hAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOz9ebRtaVXfD8+1++6cs09/7rl9W31H0RUiFMovNP4QEviZyisvSqKOmBD0JVFjFKTA3+DVGDWogdiMASbgmzEcAZv4M5BIRE2JFEgBRTW3qm7d/p5+n933+/1jr7XnZ9Z5FlQpVXWvPHOMGrXuOmuv9axnPe2c3+/8BqPRaCTevHnz5s2bN2/evHnz5s2bN2/evHnz5rDE810Ab968efPmzZs3b968efPmzZs3b968Xb3mHYjevHnz5s2bN2/evHnz5s2bN2/evHmLNe9A9ObNmzdv3rx58+bNmzdv3rx58+bNW6x5B6I3b968efPmzZs3b968efPmzZs3b95izTsQvXnz5s2bN2/evHnz5s2bN2/evHnzFmvegejNmzdv3rx58+bNmzdv3rx58+bNm7dY8w5Eb968efPmzZs3b968efPmzZs3b968xZp3IHrz5s2bN2/evHnz5s2bN2/evHnz5i3WvAPRmzdv3rx58+bNmzdv3rx58+bNmzdvseYdiN68efPmzZs3b968efPmzZs3b968eYs170D05s2bN2/evHnz5s2bN2/evHnz5s1brHkHojdv3rx58+bNmzdv3rx58+bNmzdv3mLNOxC9efPmzZs3b968efPmzZs3b968efMWa96B6M3bc2jvfe97JQgCeeyxx+T7v//7pVwuy8zMjLz97W+XZrM5ua7f78v73/9+OX78uGSzWTly5Ij8m3/zb6TT6TyPpffmzZs3b97Uvv/7v1+OHDmy53w010UWBIG84x3vkI997GNy3XXXSS6XkzvvvFM++9nPPoel9ebNmzdv3tQ+85nPSBAE8olPfGLP3z7+8Y9LEARy3333iYjIww8/LG95y1tkbm5OcrmcvPCFL5Tf//3fN7/p9Xpy7733ysmTJyWXy8n8/Ly8/OUvl09/+tPPyft48/ZcmHcgevP2PNj3fM/3SK1Wkw984APyPd/zPfKRj3xE7r333snff+AHfkDe8573yAte8AL5pV/6JXnlK18pH/jAB+See+55HkvtzZs3b968/c3sT//0T+VHf/RH5a1vfau8733vk62tLXnta18rX/3qV5/vonnz5s2bt29Bu/vuu+XgwYPysY99bM/fPvaxj8nx48flrrvukgcffFBe+tKXykMPPST/+l//a/l3/+7fSbFYlDe96U3G+fje975X7r33XnnVq14lv/qrvyo/9VM/JYcOHZIvfvGLz+VrefP2rFrq+S6AN2/finbHHXfIb/3Wb03+vbW1Jb/1W78lP/dzPycPPPCAfPSjH5Uf+IEfkN/4jd8QEZF/9s/+mSwtLckv/MIvyGc+8xl51ate9XwV3Zs3b968eXvG9tWvflXuv/9+ufPOO0VE5J577pHrrrtO3vOe98h//a//9XkunTdv3rx5+1azIAjkrW99q/ziL/6i7O7uyszMjIiIbGxsyKc+9Sn5qZ/6KRER+ZEf+RE5dOiQfP7zn5dsNisi473Zy1/+cvmJn/gJ+ft//++LiMh/+2//TV7/+tfLr//6rz8/L+TN23NgHoHozdvzYP/0n/5T8+9v//Zvl62tLalWq/JHf/RHIiLyrne9y1zzL//lvxSR8eTkzZs3b968XUt21113TZyHIiKHDh2SN77xjfLf//t/l8Fg8DyWzJs3b968fava2972Nul0OvK7v/u7k3P/5b/8F+n3+/LWt75Vtre35U/+5E8m7LHNzU3Z3NyUra0tec1rXiOnT5+WixcviohIuVyWBx98UE6fPv18vY43b8+6eQeiN2/Pgx06dMj8e3Z2VkREdnZ25OzZs5JIJOTEiRPmmpWVFSmXy3L27NnnrJzevHnz5s3bN8NOnjy559ypU6ek2WzKxsbG81Aib968efP2rW7XX3+9vOhFLzI05o997GPy0pe+VE6cOCGPPfaYjEYjefe73y2Li4vmv5/5mZ8REZH19XUREXnf+94nlUpFTp06Jbfccov82I/9mHz5y19+Xt7Lm7dnyzyF2Zu358GSyaTz/Gg0mhwzAb03b968efN2tVncPOURhd68efPm7Vqxt73tbfIjP/IjcuHCBel0OvKXf/mX8qu/+qsiIjIcDkVE5F/9q38lr3nNa5y/j0Afr3jFK+Txxx+X3/u935NPfepT8pu/+ZvyS7/0S/LhD39YfuAHfuC5eRlv3p5l8w5Eb96uMjt8+LAMh0M5ffq03HDDDZPza2trUqlU5PDhw89j6bx58+bNm7exzc7OSqVS2XPehZR3UboeffRRKRQKsri4+GwUz5s3b968efuGds8998i73vUu+Z3f+R1ptVqSTqflH/7DfygiIseOHRMRkXQ6La9+9au/4b3m5ubk7W9/u7z97W+Xer0ur3jFK+S9732vdyB6+ztjnsLszdtVZq9//etFROSXf/mXzflf/MVfFBGR7/qu73qui+TNmzdv3rztsePHj8vu7q6haF2+fNmoUkZ23333GSXK8+fPy+/93u/J3/t7fy8Wle/Nmzdv3rw927awsCCve93r5D//5/8sH/vYx+S1r32tLCwsiIjI0tKS3H333fIf/+N/lMuXL+/5LVNwbG1tmb+VSiU5ceKEdDqdZ/cFvHl7Ds0jEL15u8rstttuk+/7vu+TX//1X5dKpSKvfOUr5a/+6q/kox/9qLzpTW/yCszevHnz5u2qsHvuuWeiQPnOd75Tms2mfOhDH5JTp04ZZ6GIyM033yyvec1r5J3vfKdks1n5D//hP4iIyL333vt8FN2bN2/evHmb2Nve9jZ5y1veIiIi73//+83ffu3Xfk1e/vKXyy233CI/+IM/KMeOHZO1tTW577775MKFC/LAAw+IiMiNN94od999t9x5550yNzcn999/v/zu7/6uvOMd73jO38ebt2fLvAPRm7er0H7zN39Tjh07Jh/5yEfkE5/4hKysrMhP/uRPTpL1evPmzZs3b8+3zc/Pyyc+8Ql517veJT/+4z8uR48elQ984ANy+vTpPQ7EV77ylXLXXXfJvffeK+fOnZMbb7xRPvKRj8itt976PJXemzdv3rx5G9sb3vAGmZ2dleFwKN/93d9t/nbjjTfK/fffL/fee6985CMfka2tLVlaWpI77rhD3vOe90yue+c73ym///u/L5/61Kek0+nI4cOH5Wd/9mflx37sx57r1/Hm7VmzYETVBm/evHnz5s2bN2/evokWBIH883/+zydJ6b158+bNm7eryfr9vqyursob3vAG+a3f+q3nuzjevF215nMgevPmzZs3b968efPmzZs3b96+Je2Tn/ykbGxsyNve9rbnuyjevF3V5inM3rx58+bNmzdv3rx58+bNm7dvKfvc5z4nX/7yl+X973+/3HHHHfLKV77y+S6SN29XtXkEojdv3rx58+bNmzdv3rx58+btW8o+9KEPyQ//8A/L0tKS/PZv//bzXRxv3q568zkQvXnz5s2bN2/evHnz5s2bN2/evHnzFmsegejNmzdv3rx58+bNmzdv3rx58+bNm7dY8w5Eb968efPmzZs3b968efPmzZs3b968xdo1KaIyHA7l0qVLMjU1JUEQPN/F8ebNmzdvX8dGo5HUajVZXV2VRMLHrVzm5zVv3rx5uzbMz2nf2Pyc5s2bN2/Xjj2Tee2adCBeunRJDh48+HwXw5s3b968PQM7f/68HDhw4PkuxlVpfl7z5s2bt2vL/JwWb35O8+bNm7drz57OvHZNOhCnpqZEROTgz7xbErmcTJ3RyFayrddNP9mZHF9+WXZynOjqNZm6Hq/8r83J8bn/c2FyPMiN/z9CAK0/PZwcH/09fU7lRH5yXDuMQuvlktvR4/a8HufXcX+9jQy06DJM63GiF3O+j3vqK0lzcfz/NN45QLl6U3pcfkz/0Jlxe6Frx1R/p3heKye3o+dr+/FttJpklEQZUN4Uvk0f7813ai3uPX/g//u5ybmLP/aSyXF3Qd+jcE7fo7VPy1i4pGXsog6KV/S4hjUQ6yxb0ePGYf1DsqHP6q3oSwV17XLBcPzcVFWf35/Rewyzehx03d8gs6XnM1U935nVY3PPlL53ZlM/Qn5Lr2+iftNNPR5k9LhX1vtE92S9TD+m5dq9Ax+V74EOlWjp+TTqo3NQG3miqnWXquk1I7T9VE2PhyjvzBMoL67vzOh9ipfHL7B1i5YlQB8rXtbj5ooeH/797cnxk2+c0/IO9JrVP2/p+Y425vUXaYNjf2Ybz+ntpX4Q7faylr2tw5VkKuHv0A/r6Icrn9Pv0ZnROt26Td87gXG0sKHHC1/URtZewCAFW3sxKjgswrDTljO/+L7J2O1tr0V189Jv/9eSSuUkGOj3qx7RwTAYog2sjdtSqqWNrTOr9Z9qaadsLuu3zlQxJiS1bQxybpRI6YIO3q0F7ViDvF4/+0VtqNsv1H6QrWAcQ9k75fH4M8QqJL+p79Fa0PFpBPTKwhcrk+PGoZK+R1rbL8eqVBtj3i4mEtjOdVgfoB8u3q/P6pVzWnbUcT8/fi7fLVPR9+hN6Xuk2loX+QuNyfH27dOT49mH9Hzw4ON6zZtvnRwPM1ofM0/ot7nwHfri5Uf0PTbv0OdmN7Q8nL+S4bAw91V9fr+k79la0uMh5u9kh99Uv8Hswzrm7WJdlOjp9bvH9T0O/C8ddHolbRTVw3o8wvTR008vCawtmofHdV84r4Xkmq9f0OM8xjauswrrWl+tRX3o9FltP4Wv6YQwmtFxrbWvqOdTGKPntDxJtsmqtpXsttZBYz8KGr0H5pQ++mpzGXMWruH6cpCHXiLqMdHU+6zepxW1fru2peKa/pbr4NJF7SxsH+x/U+fDe2J9kK7qB9u5Uetu/k/PT467R3QSvPhKbT+liyh7X8vFdpjZHeC8Pji9q/W7e732ue6UvtT8b+pasvLWF+uzwlv2CuNrB922fO0/+Tnt61lUN7f//XdLMp0TQdtJNTk3ad+Y+5qOG72i9v32AtbOaONZfOvMp/56clx56wsnx33MU9kKxius/6L1a4Bukt3WMrbntdPkN/SZw7TeY/oxXYBu36Lti+M1yz7pGyIyyOj9OVeb/R/G3UxdC8p75rbH/+gV9X5cByS7+rv2XMp5DcdxGvdwHH84x0b9Q0Qk3dTz2W0dO3dP6FiR23Z/j1RrfH6E9Um03hGx78f9Ya+E59f0nTh2lr66Njneeem+yTHHYo4bjRUtb6/Iva5eM/O1yuR46wW6AYvmVbZBzmMcKxe+rBuu+kH3+prfqVfSGxUvaltqLWp50w3MZVhTcbzkd+I9E5zb5/T8whd2RUSkdlTHvty2zgWdsrar3A72cH/2wOS4+cYXTY4Ll7XPb9+o8yf3lAH0fgtX9INzzlx7iZaH6sC5Xf1X1FamntC63r5Jn8n1VOUU1916v/y6tpPaIa1T+lZmH9H7c/2T3cHasIS1GPpH7n8/NDke3H5yctwp63etHRrX8fST+rvGitb79FltD4muPrO5T99plMC4GD6/32/LX/2vDzytee2adCBGUPhUIi+JRE66cJKm8AErc7rgz6A1DXRcNwPP+uv0Rmn6OcK2xUXqKKs3rNyhCz2zceE+mvsyLHyTmBy6cFJxsZfowgmHQTCBr5fieTT0BO6fyu79u5nQUd7WEVyCe3fLuB511F/Gb1m/eH6AuuFzR3iPYQvX4PrCBTiA6HgKv9/av3nl5Fwa33SQxIcv43f4fsM51C8m6NZxPL+ix6yDDpzEiRwWqk1sZpP6gum+HvdL4+sH2Cdkavq7fhplR12MEnp+sIryLtNZi3dl40cZRwv6LFOnOpbKAMdD1BmqSSKU8wh1HXASyqOhFN2i78EuNuTsH+hQKe56MLYlsTmUMs6jHTTxLTNwMmJ/J4PQCZdiv4IjLYMpqYMF4dpr9SMEaPt0PlZv1rGIG18uVntwApqBmfWBdhDg23C8SoRzVRP3Gxb0QRffoJ0y1cDCFv0/jbL34cy8/Hp9j4EeSpGbOqx7ImfMIFqcexpTrEV1M5gvSZDOSQIOxHwP3wntOp0Y98TWETq0MA5sY3OFPp5GX+X1gyKdJXA079OGnW9gMYKFYusWXYgnsnrPHpztfFYqXLRif2DG0GTGvUFoXacNkvNe8YndyfH27bqAz7T1osGSNk5ugLK4D+fY2u06sTHoxY1Me3pcB3T4DjAW08k69TicZEfVu5NK6c17+9ERD+gmmPWRNmOb9uckBrTaTXgnBKMS+MZJBIiiEtRu0fvNPqwXDEZwsmLDaOsRm6R5bE7xfgNsMLn+Gc7re3N+CYr4LfdUGH/yl/S4mxy/a4FBPIyhnEuzcPr20BD7S3oN1zmZkfaJ3k1HJsetRTrn0YAw3iUxSKfQVkZlvXyQ1RfMJPaOlQmUl2N0F2uMEdd8nEi4/qLNINB0vVZqwDkWwSgGHJrYGHETmoaTuHV0fM/uNMYfOj/wnoMbdEG1eSc2bygL570h16+45zDN9aJe01vVG/G78kb1t79iclzchQMpdKqkw/JG6x4/p8VbVDfJdE5S6ZzZtLeXuT/Tj9E9oA01u6MDXaqCOQVBmc4BtJ//18v12XRkoUxTO1gwIkASOZj6mLvYN7iMZp/l56/fCkcB9lkZOBzr+zAuJvW9O3DAY7iUBDZLXFNOX9H36BcAJAjX/u3DWKvpz2T6rN5kCIdEf0pfMIWy09FkukwO8zMWsinMQQOsQTsljA/o82lsSPuY45Jhx+X6vruqY0Kezl04t8i6zMEpQyfu4Ph+vT6HgCgayvSXFenTgqMswfUVxrzuCb1PAMd31HASeD6DaEmsy9j2k7we88WQoAfMNbWbEKTD+qCPeuf+No17pjBedtG3hHs+OMobN43LmUcgun0Yc0Fdz3cPoE+85q7JcW6Ave4+fe88QCYtOO1zW3rPHNvEQYA2snDmaRzU7PezYRC3frPbPxTAqZeCU4RBP7M+QHtPpTivoy1nMM7k4SdI8ttjj/gWda4ySMbvGq0HBwsYozAWtQE64JxN30sGDvbOofHzB91wPfs05rVr0oEYWTCwzq2nGhF19B4n4aQiUotRgRQW1pHfIAvkYB+TE5FOXdyPz0zhmURM0U3OgbI3TTQDJk4uhGFZOEX4TklMONHGkxEtoi3ofOV78Bq+E88TMcl3IgLSoOKw+GeDZtmyQF615lHfnFzD00SxcLWQv+L+Tuma+zzbE52+LQwYtCEdcuxvqINUBdEYIkLDAZkOVN6DTkCWi+ebR/QjzP61vnjlTkQf4JzLX9LK6wJF2FpyO/bovOainI6vZOgs7RmkI27CsQvOz2FbLype1M7XuB6IzRocrkW9f6biRlwYZzTaEo2LBH77TrifL53DubIe1w7HDKh0gMT0FaJezLhERAk3RpiI0vUYFC+d8HTmh89KYQLNbWKDdEjvnQPylChGibk32zX7qvktbzOy//f29K25pH116bM6cLQOz0yOuyGClFHpQRbBCyzy03VtbH049dmOuFAloogLXkZN83BQEkFhI8c4RnuP0I7pBhZIeD7nQy6iuFkybfPYjPN8dks7Te2ITlREDE6f0467e8Q9cNCBSNRJNB+VLus96tgIcIypH9B7c5HN+uICPosNAhEnaaB3WkC2jVKsJ/d4zWe5mAtc21SP6cBFlNbUBV3JJrCA5nfqTGu5hrimeAUoU7RxAcKAm9YBNgVxc3UDgbTM9vjj147quQIcjAbRg/mCzzSO7hY2V9MIBta0Dlg3XaAnWe9ELXWnYnILBdgwbY7bE50lzUU4U9EG+U1nH9J2uP4COCUwHxTAdmms6n062oXMWN9c0msYgOtiPTrIcE0FVNbZCBGFstNJwzkFTlbOdZwPzXPIPjDBZ6CEMEYRBZrC5j9DhycCq6mW453CS0cxn9DbXhumxuuu3VN7UbUiFqXOtlE7iA+MJsMN8dA4xjl/uDfenBNzlb1jcOcg2gjaYAH9l0iu4mW9Ocub30KgDf2WY2Sqrn013UQwDo4TPpfvXTkJhxUdRuH8yDnb7H8RUBvCsZHdhPMDz8lgnqodwNiGZ9IR0cP8LKi/bMXtROU4TiRjNP+XzutNtm4CCwDMONYL65djJ5GR3Wl+D30+96W7N5UnxxxziGDt0ZnYce9JonbQXNJ3NuxBTIFET7K8ZEryW3Lu51zG5xMxyWdNXdBC7KAtsWzTZ8AiOK5rp6iPBj189zxQsxjHswjCcO3IOZDvVFjXD9JcgmMcbawJR7JBwqK9MaDFsZprN1cZ2TbmH9BJs3ZU3z+/CTTtEa071mkCdWP2eVh7c33XwdrC9FeuvYt7502uS9lmuPbgXMe2bABkUd3h+38j81OgN2/evHnz5s2bN2/evHnz5s2bN2/eYu2aRiBGRg9sG0iqoA+YNKKv5MfERRFNVCT8LVFEGWVLmagFowCMiOY3GZlHlAGoI6L4stvufE7M8UiUZBfUSRrRVlFElxE71p1BWMS0jCi/moitD9bj1Hl91+oRt7c7EYMcNcgRRHqYm6sNNGDkZef9WF+tZUQhYiI0cUi/2UcRlSYCEvdp7SMsHREuoPuIIGuB6h2hIEkFNbk8gEJlDidbXj3ePQX6X15vNMogygE66rCDiNguokdTgP2D2sM8hUQtTZCJoEUS5UGEwajJDqJ/aNyooaNRnxwEhGJwnyH5RwxSm0gsKKA1Nj497JFyHP62dgRF5LgBY98jSpHjDNtJR1H2pm7Yn0kBJ128C+o9xx0+l9GmqB839wMdS4w+xsUm2m9/Go1/SweDAnKBMvdjHAKZ6ReiaB8jn96+vvWLgYwygWnvWy9WumsRSLeofnNVN7qpi4hlP8f8N3pvRjWJACAijOhF0jVH4AsRZUaKb2NVr89WQZcMkU8sS0BqD8pCVMEIbc3kb0RklXNZc9VNs2yDYtIk2hLPIjqSKDODBAuj8X1E19kf2U/ikJQc99lXGIkm6rAzDXouo9JoNJyPiCRnuoE2xiUJ1ysckziXcp7q5/jd9bxB66G+OD409rlzE5ocljHocY5/vIbo7WgNwXEov0V0IcoONALXM/xmbFd8j2EaaMQ67+9eT6SAcGwtuPscv2V+fXw+XdObNJa5iNFD5mzcuhGoQ8xTXE/x25Q07aBpD1wvEUnUQz2xTRAlQ8B5I8xvt/R5hS7u3MA8HnjMrLYN1nWAdUjpor5r9bAbxcJ6zDDHNNaRRJzyt0T6dkt723l07cjPaU/bipd7kkolDSLMjG1VoI6Qb45zChGFRaD7OI7zm3DsZh9KAhlUmweKz8GWIMo3f0kXd8O0tl/mHTOsJeY8RdkLa0C7n9TORISV6UCk4DsQSONCyx5Lx6COdpCmgHMv56AO93YBEO5k6XXd/YfzAe9J9K/Zd5LtW907FlaPZnEO1wIJTeYC702UIueyuLGe42XcHpgIWbIY6qvu+bx6JLyRYRnsRWiLiOwexbp7PWZe2AQTq4vUJH3Q+stcFwmu0WOueczeGG2iCtQd56moPTX26T2mzqNdHwP1F5RkolnZlphLd/eYFpg5BYmK7WCNSyo7yzj9iOZrX7urPDnOVcL7sc9wDsJ40ilrg+PahqjD8mPImXhS2+rc17Qxsf8TJZhbUydRbT/z4eM9TmslbCJXdvQtLYtCj1m/HAu4f2CuzGg+5LO/kXkEojdv3rx58+bNmzdv3rx58+bNmzdv3mLtmkYgjpLj/wZA6zDia1A5zLPHfH3kgAM9xPsMC3vvl0b0g9EMkzsR1p5zhIieYrw/vcqMqORUPEqamrNeps/ocR2iMlMXyO0f+4upNMzIPcUrDEKPiARE/RkB6iOKw2h8Ztedr4b3KTIBOhBhJoqC610KVsyXaHLqIOI8QrJeojyo+kvbuQ4IVkRCWBaKUDC3Zr/kjgAxZ2I/fBHWo4l6MYcmlBI786jfDbdCZR8ovsAkwMJhWj/yCNl1AyDhRhRXaTM/k94nqpud2/VcZw7PpPIy8yjGJMYLWlSrxPfDbw36DUjDFJA2RN0Y9c4YcamonXeZBwr1xTbAa9ImEqrHRtWTit5H+D1QRj4LYjpsq3wu2zxzlkZjUJffIIPGhOTFzJlGIyqFqClWCMcFRr6aTMYdoW/xd29f30aJ8X85JgmfRVQUyomtcF4hytkgOxA1Zc69qc/rB15/7RF9NgEOFJUoIO/hBtTi1nTCq9ygg/cIyA2TyxDRzSi/GFFgfDeq0qWaQFRDBZoKgyavEcaHZJfIPXfuI77T7nHkA6K6JfJlmbyD4adh7icqjDKPGo1oCuaHMknMDcJBJ1BG8olIaO7DuAHUMZkDdYi1Ma9zpCg582UdWOrX68DC+jV5e5mPLEZRu1dwLzWHBh0BRPoK8pDF5Kw2iHQKjoWoJSK6G/vcSDXOzTYXH24Xw5Yw+W5RdpMnmsgYzr0D9zGRCpOyAO1JhAXXlHw/lsvkgeI8UtbjXkx9dMvIS4d1FPNHc9w3ubUd77d7UheYJm9TyT1nc53Ouaa+H3ldsd6e/4OHJ8dr//CGybERieJaDOMO0SUzp3UjUD0ORdDwkgjZ1mfFefu61tiXlmQmLVmILlBFt58DGirhnssMWjjnXttR+ItWPQSRBqAXme91ktcVjZNL1MqNOr8ZoRUcJmPQOwYZWde5pg8k09z9Ohh3yso4IOKN/ZBIWaL1o7GZSKpMjYOlHjK/IpFRfGb5MahiF9yItGRbb0o0dB2CYMxzyXEuh3xy9QMUCBhbcxHzC3OWz7i/AdsDx1wKIpKpZEQNORZi3OA1xUsxyEuOr9jHRnnGTR59fI7tG915DDtkEGBMr5zUF5x7yI0qN3nhKbBIROgs+hPFTgfu65vLXN+Ev2NK00ALzzWfzcWnN58/pxunzTvLk2Oi2mcfhpDfHKGtelh6QpGGteNa8Rsv1Hu68lzG5djmN2C/IWK9izlr5zqoGpM9gnvm1/UDdiF61y9irUkWCpDX9cNAQZKVE85DhnmDyqb+BXOqtmf1mVQRj+rA7ve+vl3TDsRBbiij/FASoHRmt900puHecUlELIWGzjSXSnB2A/dLuY8N9QULIJPEE4MgN+pcHJuFNRZJFCsYQM2nfpBQbffCufz4uPO2590DlhEtwWCXu+A+z9+y02/e7k4mSzMUULw3qZ6G+sV1QcBF8fhDdVAvlp7M37mpv1zscuA3i2N+D5YLTmeW3SSzn0InhRPORTswzuItUp8B/aZiFunokH0LutjsgXqcgjJlf5m8aHLuUCCInvTLoJnk9jq4AiQRpuO4h5caUAhlAwmOIcCSqqP9cFOHYtlJLnBen0N/pXOcNDi258ixyO9LKjrbO78NxVqycPBzQUFqGJ2icVR6bprbcBjzuWzztGgcm3pcC1CHAEx+ze2cTKDN1A/p+dJ5bvD0PB2xRoyh41jYfeP4ibfQEv2xkuAoJohkkiBH5yCcws1w6bwOtH0oTm59x2G9N/37oH21sejghimN4+6MNoKZR0C1uEPPk2LCjUnk+KIDysyTeKc+lipt0BwLcPxxU0lKTA7Usx6cnFwQklrH8ybwGLdpDOcJ0h3pOGKd8h7mPBWWKZBCujg3FzMcpNU4duU23BvxQcxmIaq/jZfpwEKnKellfNcg5l1JtzWbt8He+VtEpDXHnZ8eMuBpg3FYoEMsrXFdOEj1sGhecK9JGLykom8Si/mpi3CYr+uLbN+kC0ZujgOqaqKe6OwOkB6AcxaT8m/eMl5UlR9DYnYs7pMUOMP4MH1Oyzuhz4lIbovtUNzGJm4CsW5qfB5iLH23PsZkHZyhqBfGBCbWjxPsMgIaMRTJre++fnJsUg+wrdJ5Aiopae3rd+pigU6a6BtH3zHZ/zoKjt6MpVojSfVHxjnItBhNjHNFiCgw8GBFKRlc02sqx7RhF9fhHKOQBFIP0EFQD1NtFNbc6UDojKfzKhUj1sA2zrQNpIXynhvfpuMu5/DcltZHa4ELfj0klTYK+puxkvs8UKVJ0Z79oqICNu/SXEcNCFbQAUy1eaYeMIqvsKkn1GG0dZvOwz0Iz9DpEQUbE9irJamsy30bQQGoF7OnVz+TFTKMEVHhNZx7zRyO8YECHtwPR6mGuKdnQMQYx7mYVGudWbSZOxBoY7ol3Ce/gXYLUA7fb/4rWpmVE1wLuddmkQOYji7WhUkvgrpgEDQ9o23A7K+xxxil3evaPkBj1VPMQ4Uywpk/hcBC5dS4cLZ+9R/st5xfjIM2BuzF/lw9oRMiA8omjQ2Exbg+YDA6bu2WDNvzAM5Mky4s6R6XjDMV641MVK5nsFd7xhTmz372s/KGN7xBVldXJQgC+eQnPzn5W6/Xk5/4iZ+QW265RYrFoqyursrb3vY2uXTpkrnH9va2fO/3fq9MT09LuVyWf/JP/onU63Xx5s2bN2/enkvzc5o3b968efu7ZH5e8+bNmzdvz5Y9YwRio9GQ2267Tf7xP/7H8g/+wT8wf2s2m/LFL35R3v3ud8ttt90mOzs78iM/8iPy3d/93XL//fdPrvve7/1euXz5snz605+WXq8nb3/72+WHfuiH5OMf//gzKku6kpBkO2HRgkQdwqttvbiIKgKxSASZiRaEaCAKLpASNEQ0gWgkQ0eNQUAyUmGosTFUaEPNarsjwY1VUs/0fPXQuHISTJyLMpLWwvrqgDbJ+p06j2TEoJUQGUVkEqMuhgKKyBATn089qe9RuQ5JQC8QATP+P2msjJoY2jSi6Ea8AlFR0r5ym3ufI2K/cYIUKJiJ2JNKS6RfeLoLUR2KZ8QxZIKeOypEVCUFSlJ1JCaHUMaoy0gTUGlAtpqIBu7JciZDVGMaqMP2kt6DgkDpGsqCtp/dgihAyY24I12cCL1uTP9nfybqMLPrjsj1i6OwLDiHtkHEL6NRpDY3kD4gup+ISPG8e5wxVDZGxBiJRJsk+oz92LTJ8HzjECgjQKHa5PR6THGFFsR2mDTfQPRj6Npsh9E1QUxbvhrsaprTRMZoiWEmsN8aUUOiBqKIvalfoJsGeR3gSeMifcPOQe5opkkhAYRBFn2pcUgbCtH3cWh9SUYUZj1l5h0IheR28E4oL5PjZ4Aias8DuTLQchUvaqchsoL0uJnHgTK7Xl+EY4UpT1h+CsSQMkLK3PRDOhDVTpW1jFjEZLf047TmQRlDBL54SRcCHSBwSAukYBfHS9Yxj6O+TWRCFuMmERYJTE5MHs+YdFxqF4DaDcqf0XuKjMRFxBNY/7QX9tJuRom95556PzIOOJ6yvH0gYdmfOAcMkQJk7iH98eZtWgmdGaB00N4SQPXkG6yD8fWtJX3m1DktZG4bcykQC6TAkybfmeVcqueJ0iF7JQm2gkl1ESOYYMyB0CCyt7lMsQAgojDmNVewzuE6FWsxjmNEIBsEDij+vKa5rAMP6Ztst7OPaj/buG08fiYG47IPOgOR/yFXrV1N81o0p3HuoDBOhuhcIIeI5J59WAexxqpOAkYshOkwpt0oHkOfx3ePaMBWeCNwHnMfRhQjET05jON1CHkRvcTUFdVDEDXEPSkqYQRVClwf7EWbG0QY6iUOjVS/XmnTcTRWI6xW00pgmpDMug4uO7cpvaxxSJG9RuQI5SQCu7u8d+DnmRYZOHgnpuXgPj4OdUiWEZlTvCfX41wPE4FHJh3LEK2lObZyDc70M9zHFi8CLYgxmutru08Q5/UjMO+4LiPqr3oEAixgPI3wfkTsRetEvifTAXCtMveFrckx2Q1D9CeuAUuXgNZDu2rN60UFpEepQ8Qou+tG11ZOgGYcni4Bocx6ZP/nHpV9gowDrvX43nHrLPZhsmmyuxB6wrxGwT52gHYo7MqyMG1BH/Vbusi0DZjXyfgJv/VwtLffxdkzdiC+7nWvk9e97nXOv83MzMinP/1pc+5Xf/VX5cUvfrGcO3dODh06JA899JD88R//sXz+85+XF77whSIi8iu/8ivy+te/Xn7hF35BVldXn3ZZkp2xoDLpiXHqt2ZQQcPiB5l/EEp2N6OSw2u46GKDz8IB1kBeQrPpi1FebWKRTzoNG1lHx3XjbGNePFIkTU5BDJrRwsvQgblJpMOV5zHo9JDfbPco83LpNXQuTZ3RMtYPoHNhELROV1Lo3BSsBu4TOVFHdBSi8Kwjfneb60uP45RlzQZs4D7PzQjVSY26LhykvdnxjVIVUnj4brhHzF5ogJyKyV1QhUGb7q9Q6lIPEzXS4/DcHbeq3HCO3F4UIrxn+wj/Docg2gwd9qSgJWruPkkVbbbV2a9h8YSyML8XvyVzmHRBPzF5/MJcZV1QBFIYQ0it5sa3ANry7gkUlxvVMo5n4VzdcNcTn0sHNNsbjU6Vydg0cvefOLV1Q19Ffq3WCr8B6q7jPG02e9H9h1yEXmV2Nc1pIuM6C9J240ulyYyD6kBnBp1IpceVNjS4QRsJFWHjjIuxTozSJRdPdKAZylRMfr9JTh0UZZKHSuwcVDsAOiyVlOfpfdTDdpmLIFCk2tikxdBTuuWYaJ9ZZDIoFN7b5F0ENW6fPrO5qBMlKcGFKzoQxeXo4wa2d0L/wO9EM2k0sOnhJql8WgfPWuhgjltMG1VebP5Zj8y5yU1inEIuc+nyPjzmNbWjGCMbLCidTePvN8xjQY5xPqf7GTv3x6WzoVM0r4sVk54FC/HKKV04cIxkGgCzIQUFqYZ+lq2M/19+WCNUl79NF3QM4Bo1YlL48N2N2nkM+5brqDTWzHT2mDQryKHUjqGgp8N1Mx0edG50i+4NTR+BROaOzmy5lZqzDFBjLbZwUf/QL2oj3rgVAZUYJdbIaSgik/4/aUvudHtXjV1N89owHUiQDswGO79NdXFQMbFm5xi5fYM2ZlJp86A8M1fuIEcHO9SWMbaYfHnh5SWkLGAgirRpjoupDvM6Mj0U1ovMFoR8gXQgsM/EKYQnY/ZudIxHTkw65jroD1NIiUDnJFWSeW/mXWNu2u6Udj6O6aVprTPOkww2miAO5t7CBvL5rozrj3NBC2tzs85Eju9BFt8dKZMYRKcxQG+AIhl+A8y9AHy0mKYM+7zWKr1He5+ZaGLvvKIvmFkHHf86d30xAofYqPRRxmFB+1aAihoUkCoKedYb+wkOwVi7A8ci0mhFgA+TmolIDpSlsaxoBOvs18vpH2Hfai5hjOYcfkUH6eaCzolshww+sB1Ga9N6QOcd1hUMdC1qWabPIrUC0m5w3ctc5UwlwnQuTLvD1A3s50ZZHu2c6+No7c/6MoAUgkMuaH0xFzGV36MxBNkQvqE9YwrzM7Xd3V0JgkDK5bKIiNx3331SLpcnE5KIyKtf/WpJJBLyuc997tkujjdv3rx58/Y3Nj+nefPmzZu3v0vm5zVv3rx58/Z07VkVUWm32/ITP/ET8o/+0T+S6elxCOTKlSuytLRkrkulUjI3NydXrlxx3UY6nY50Oho+rVbHMLze9Bh5Y4QySAMGtXDqPBPqqvd4+hxouBAiYfQhChczEk64sFU1dlNpiYay9BF4r0HbYRSU0GHSqBl9JeqPSa5dCoYWjYB7GEVEPBPIqABQ+b6hNuK9EUEk6tCIAkAIZEjqLVWEUPb8GiJATKoefu9hGrBnQLaJJCAdltBkRtuM+Ad+m4DSbpQUV0SkiUgT631Qoow32gFRhcPxsVX3dkfxqZKVqeA584BhI2m8FJgpFZHQPNRMd5DQts4IG76Zg3ItIhJMaYMehFGfRErrYtgEPXAWClSA7pLybMVr+K1BbUE74TeIo0AyPML+RFESPitCprRj6HNZIFfaS3qP2iE3opEIGfYhokyNUjINz6WKawvP5fsZcZO5MNk7KG6GUkFEIepr94SbSsGIZwJliUO6G2GG8L2NSuo1bN+sOU0kfl6LRFRIDWX7dYmoGCoC+kP9uA6WRF50EEUnyoMR3JknKDIABeAYJU2i/gxqAFFWog2iNsvoM1EQRpiCYkOYS5tLMfQRNDeTboBIWQf6REQkXdPCp0E7TRjkyt5INxWmSW3ivfsoQH5L32/3hE7mQ0Pzw28x3+a20ScNHUuPmeLEpPjAvLp5CxX5ovfA/EJkc4w6oRF5QwS+dBmIHbQ3tmWiWxjt57O4bmDZTDoFB0WIcxfrrol1zsIDEDpYwTxJpHfgPiaawrBaYoY6rkWW7geCYp9WMtUdo+uJOuTz6wfcFE2m1CCClYrFTEvDtDEUwDI0RooDok3UDgExaehs+G14H6Kk0qavkpmivyMShiJvpk8YpCh+i/eunNS+RRVbjpNTF/SmOai/r98Oxfew/iLEST9GcfdatGd7rzZKjP/jWNzPARllqIIQFqBAiRHPYd8GYmlFb8T1CVWKmTKIKP8I0UNBHa67iZ43Y2EVfYYUYyDxONf0Su5xzgozYAxGGYiCas1zAJQ9xxxLWL8UbmA/JUuncFmPiXCySsPuMtYOulMoNJCKwQhyAR3G+SMq84jqtCvc7KuNwCzoLetgReZW/goQd8f0mgDoxVESe5gWP44eduE2IfIxg/X2YBFriHDPlXxQK4MspyT2Uh3ut7BvZBkTFZRrVhf+owoGvRz8HRACEtynxymLqMMNMCYOYn+JNXyEwiRTyvRP92cybYbzFM2oYnPdB1bH9s06JzK1TBq+FYq1EWE4WYtw+EZDKVzROg36WqdEC5L1YZhuWD9zLcs5rr4fLBjs24hGJnoy0XJfE613jahYjPp2Zw7soxbXPI77BRxMvr49aw7EXq8n3/M93yOj0Ug+9KEP/a3u9YEPfEDuvffePedHyZGMkiPj/KDS7uxp7cQ7J7ki1UMOWNxg0VEWNRDmFErEwOAN7/1p0ERi1RFxnpQbF313/APcH69qaLjhAogqTnEOM06+pFCys3DBSNoBF3WENcflncjCMdvHpMfNkHFuUmky/G0buwlDGypxoaHnjdpfTC43Oj2Y38E40jDI03E6QB0nclrgoeiLRBNOFwrEhhbKvENUdpxBG8jBIbioL8LXC+BcHVTR+IpQUYMKqGBCS2ZBA4ODcIT3LuTHhW539d4dLFIyJR0lu/jdYBFw+itaL1w80WlIhxxzkFWuk5jr9TzbMxdq3MxG5zmxsU8YOnVMnzdOCV6Dn2ZBweIEwrIwUMDJmI5IGunu/aXxN6OKbf0YNkhrUByDUjXzNxqFv7677Q/oZCQ1vvf0J6Bryb6Zc5pI/Lw2+3BbUimR+kEdjLgwoeMkGus56TNoxE0GVemG6Id04rDvNVe0P5PSzlxuxSv64cuPYyzCfeI2XrnQCcW8WHxPO0ir0RnFeZiULUOtnHXfh/mqSBmrHtZ6T5i5we3Y60XUD7xHpu7OxZPEwpCqw3FK1CbnMcaBqfNc5IIWlGFkzH0fBuCYEiVyglExmYE2jqG8psu2SQcbHLF0CtDpTLVBbhzYTvjeHC+5Jshu63FnZfzRAs7fCOjN/7WWpQV1ZlPv+E7TUHBMb2rn2nhpWa+PcR5z08PK2bku77x+9tEurhm/IEfTIpyyLThczToyJsctc3fZ4JM+gfXIb8m1E/Ntt5Erl/2P1Pid68b9iXNalg7ouPQWeH7ukjYIrmn5W7YHQ4XG2o1r0AyCwqyn1oI7zUHU9hphbsZB5+/GPPdc7NWC4fg/fqOpszH7M5jZn2EstnnK3OMynWacm5rLbEt0/o3bJBWTmdZF0Je5JuK8ShZnHfehs5odi/VBSmcACiPLwLmXjjeudaO5zKjGou5MTjWzbsPpmCweNBO0ZC54s3bUY64zrIq1XtNGuq5o/9PZrwXLFgBcADAiQJA7lUG+t56+axsOoAT2NQnsj2j5WZ3k2usYAAP3PqC7CqckypPJjCuhdws2Fhf1fsm0lmXQ0rVHflWv7/cxfzbh9OG7wgkYVPQDZvdr42hf1g3NaAofB47LHnKHCqnQSEs1CKnhXOelK/r3mScYGHTv6TmXm/yC2Ntx3cmUZmbfht9SyZhpd8w6Knwu13xdOPW7p3TgiPPPtKgOjXbN9DpcE9CxWd+HPTDWPJkrfG+3X4pr/yiQP3J3Z+v0xrjB3LB8p/zm+PnBMwiMPSsU5mhCOnv2rHz605+eRLRERFZWVmR9fd1c3+/3ZXt7W1ZWVpz3+8mf/EnZ3d2d/Hf+/Plno9jevHnz5s3bHvtmz2kifl7z5s2bN2/Pn/m9mjdv3rx5+5vYNx2BGE1Ip0+fls985jMyPz9v/n7XXXdJpVKRL3zhC3LnnXeKiMif/MmfyHA4lJe85CXOe2azWclms3vOJ1uBJEeBFNYQ/UUEde3FSIAL5z+94FGiahEb2XQlPjWCGTP0NAMRwWTe9AzjmBEaRn+HMRBgIh8JI04AOk8VLkaGmGQ1oleSymvVhd3RctKciS5ktIjX0JKIFFDRkehJE+VFoltSawjnZnQsomXHocASMQhIg6AgWpDXG5QOfos21tiPIqJchJkTGShAyHX3jcMiQQPQdwqVkJKMsgi+dYqUb8DTu+BpjdA+A0Dbp8raoOtnySFGfZC+imclEDXLp8cVSwQiUY8BfwcV5gTEXZjcnHD68lf0nrsn9XzlOnd7F3cw0aByk6DhEo3TzjkofEhlMGJS5RglbEPTZ7nQn/po1yMK7+y4+5xRYCMdHhE8jjXJzbDOCOZC2+gwqgclu8Ild2SK9WXGRaqLG0oPyh6Wd0C09DVmz8acJhI/r1VO5CSZyRn0EilYuR0knw8FOgwqkcMmqUtAKeY33NFOWg+oOM5fFLclgouoECa5D5CVmUi7VhhRJsKMKIwEkSUxaH4+xwiPoSxxin3G0DyJCGNEewiqDGnU0fzFslAwgn1p9ss6kWzdrAsOJtymMfk2o9tU1C5sMHM23gPzOdNepIG8WvprLc/6nRFnTP/OyDnnQKpZ905AERVoGap0thf0w5qUE2isRAPFmUGrAAHdxDwsE3SJe9yqHdVjppzgmsvQwkFFbC3ogM3UNUaYBU0sf0W/zTClf5g5ow/rzGqF1PBdozZPhAPBL9NPav0SNUcFa9b1wle0fW7eClEmMEn43kYRnRRwaGcwrUdjSZ9b26+NfjoUe+lOu1EVcUhKGWA9A+ExrrHj2DFx8ydp3Bx3GvvcAmkuRFt0LohZa1wr9lzu1QYZEcnab7QN1KFR2aa6OZBtXFcwjQfT3xBVynGsuUChQj3vQi8Sdc3UBDNPaKMlDbGG46yh5rrLYgBszDSE/ScVhgOjZKiHnIPMni+sm7j0F2ZfSkLS5RgmQgzzzuyd0cc4T3B8bUMFPq4MLGc6ElY8rC/KPUh/CMGKGd3LNFsYQ7FYCZie4bx+5MER/W06qy/YuagvRRRft4UCd0kjx4cFnXhUGg8ocyUdfNYShIO7b8G91+CyNo7Mqt6n28C7Ij1Vdl7rLJ0C02wGaHqw17obUAmf1wFwNMDYzPRbIXpxGJBmRfET7HeoWs3vHoMYb0J92+yhyMQGJZlrFCKW6efJVPR4Qo1HGyc6f/5r6OerKec1c49iTblKRg5V1YFkhv+J6V9IvyZi0jBZDWOOVOjx/TmmGvFb1DXTw5C9x/EtUx2XPdGPWWw77Bk7EOv1ujz22GOTf585c0a+9KUvydzcnOzbt0/e8pa3yBe/+EX5wz/8QxkMBpNcGXNzc5LJZOSGG26Q1772tfKDP/iD8uEPf1h6vZ684x3vkHvuuecZq1V68+bNmzdvfxvzc5o3b968efu7ZH5e8+bNmzdvz5Y9Ywfi/fffL6961asm/37Xu94lIiLf933fJ+9973vl93//90VE5Pbbbze/+8xnPiN33323iIh87GMfk3e84x3ynd/5nZJIJOTNb36zfPCDH3zmhW+JJIc2zwwjiXGJuIc5JJHcD548ET0EfIV59AqPM68TPewMGwBtwXxAu3gOozjIQUavc+0QzsfkI2MeQeaB5HvQJsmsKb6CKIBBBjCvUs4dERjFBF9ojAL0Y3IcGaGKih4T4chIEhF4UR5Gk1sB9Vs8q8fMscSIGevUeP6ZhxJ5Gpk7oYF11KAA1E1MFEeKWrhCiABsJjUaRhThoIOoKRB9SSQM7uM4U2AODr0+PY08FvhQxaw2lBpyRDHK18P9gzxyOSKUVA3zdjAyF2xoFJp5W4I5JP2NVeHQw8Z+oLAQQSQqjm2GqBAiD3hP9o/OPJANIZphRMQk2xqEfBqHmHgZz0EzZXmJnCHSZmDybPIa3JNRVKIsgFg04kqz/fBa5g+KybFGUaSY3FmzDyPqtYpxhgl7GSTHOBKhtoOYpMpXg11Nc5rIOP9aYjCSTA0IHCTCZlQ0Qjw8neg+kTVmrGeiaoxtBsGANuvKJzM+Rn6/efd8l9tC9DUsM1FrjIgyWp1psU/imRThWELeVeRjY849gxpCm+V7pOtaIUw4TbQlk+9HCEvmljHoX0aCV935Ffl9jQAL5sniRYzRXeR4BLqPAk0cIztzRHDpsypAD076MF8DZeT82ZvSgk2fwzxyUMuyfRPyLXEthG8ZJzhi0EZZ93EWqEqO+1HdE3mfrkKcB6g5skqYGJ1ouX7WLTpAFB3XSBT/ya0rBGeU0AG2tagLL/Yb1nE0ZzD3ZpR/T8Su+VrIM8Xcb8xXeOWlek3xgp7nt+HzTT8n+6asxxEDRERk+kn0f6AgG8vjujSsD6yfjdgF8i8Z5AXE5Th/Hf6DyuT40iu1YER/sQ2bHNfcE3BORHmI1oiQXdE9Rm7Q8FVjV9O81s+JjLK2DXD1x/pn+zUiTo51hYgduzlnEP3GPJgcW9iWIsEWIpqIhto9CjRSDKqVQmIGTW+Qvd8YdW3mbbwf64P9kJqJ0W/ZvtnujcAR7k0xQJOPn4wGM/fqsRH9xHN7QFLyWawzIj7ZV9tL43F0WAPKblpvkgSyrpjhvkLvsXtOB4LRIlB5yMueBZuq09aKXzypE8XGpk4wM7Na+FYHyHrs80bYi0X7LO69gjldjBEhWDhamRxXqzpfZA/WndcnH9ABu3VIP04upoy5YoxzIA78P4j5Q7jOSNbd+dzN3p15Njlnoo1boTQ9nntYf7B5K0WX3AjkwjqYVrPudV8035h8ymU95n7VvAfaJtGFrDuej5tXi2DMtsHI6RBJDcQiz3NyilCNXLNT3I/b0i6ez7mZZdy4ffxBBp2ByP+Qp2XP2IF49913y2gUs+oT+bp/i2xubk4+/vGPP9NH731WMP6vH+PgitswGTohVZOZyDzFTc34mAu5IlSqasfc1N+4jRbLwobFxRhVoHmfwiVAy6GmahbZTGgLixa8dBoaCg/oIIf/H23BT/x9LaQR+aBThgNDjOCJVTvW4xwpwfv0eAJhF5Eh3o+L32hM5iaNkxmT2dcOY1OLwaB4UY/NN8B34kDSiRlUkk1QQLGh5yAc1LXLJUMF3uxZONsOawWTJhsAKj9A8tsERFE4NaQv6j0J0c8X9KomKMcpTCx9TKLpS/ox+3CacbLsJUIaJZ1UVN3lxLmp5WJi+ww2eAM6dHHMNmOETrAg6ixoGbNbKOM0+xPu76CTkPrX53EclZhUkpgFbBzF31CeU9947GT/Z/uk4mhUZwm0R947iTQB7M+GuoXOXTmJAnCzx80A+kFhHVTLo+GmK26BchXY1TSniYiMgkBGQRCryjh9Vhvc9vXjRjD7GGgX+9wiAFMXkEgelC6zuCIVGnMpVeymQb/cuklX/ywjjfMB+/P8V8b3oVolaTB9ipawfa3hPaDsyKTVCThlSA2hk6iN89x41rg4xB+oCEqFy2gssErYCB5gs5tqYoE7RacIHfluZ9TuEcwdpH0bxiAXk3qW9c6xk+lRov6chcIzRW043lQPu5UE6RwkDY9z/xD0Q863bKtGLK4VM3jEZfBujb8ZRVToNIgLXlaxPuB6jbRBOkBmnoCQDenzZX3A7gmdNKgcS4o9KcocUyNngdlgxzj1DUWSgeij/IMetiCuaxOz6/HUef3t7tFvHGStnMLmpb33mrmHtBNTqXXlL3Ry3L1ed0tcQwwwDzPoZZyGaEslpN7j2i2Jtk9HilG5p/jGYzrW7h7PhGUJr5Or266meW2QF5GcbWs5UOeNYzdm/0LjeG2Cnaf1exn6IfaIS1/Qj33lJdoIIrEH7g2Mk5nTVEzKpN7MN75+5ow+gPMXxxaWoRdDD+6hfwSOFE9mnxczXzDAQBE9IxJKT0RMoJj378UE8Qtresy5wYgyUUQlfJYRgYRwyupiRa/FepUiskkAOVJwFCYBsGg1tEJGCLoTSDFd1jbDblPKAyiCMuzW1PnX7o0rqtPQb71vUce8jV3dXxfgCF2Y1cGq2tRBiRTtwfXaILIAeOxc1nE0NUWnq1sIM6BwJkVl+L2Z2ipUqx4AjNWjWB7G69yGe15gOzGq5tgr0WlP66CfsX0Odrl2wvWze693paERiV/zUCCbZWfqE5aldIl0Y71nDaA1lyCiiA2ImjQadM4Xor/rvafOu/cBcZTormO8IvX5G9mzIqLizZs3b968efPmzZs3b968efPmzZu3vxv2TRdReS6tNzOOFhItMwANL41oKuHejCgHJtqE6L0jukM6ZaoBBFJMUmd6rwcxVGF6oI2YCO7TmyEsl9589zU8bxCR4buO6HlHpJ119PhbEDpCyIXJixklay3qMaO5C19Fwv9l0F6B2jSIPlJGgUzEaakdRvnD2zMxfBMoxtYyaZziPG5CUM5QsQ0CyP3b3hzQgE1EYLpuN/6ogPoII1/DZXz4JhNLE1HjjrAZ+s+GNrLuMujMO3q+0XOXK9gFomQBCfL3oYHgtxRRGYbn05dBNUAf6wZutFPxSX2m6RMJIIPQD9toY6SkGOEUnKbQEZ+bAkWFz4raUBPoF9avpT8S0Yjy4ppeCUgeRtsQnSueTTiv4XtwHOvM6XFc6oQgpCgSxczy9otAkqI/50HRJjKJ7Z0Iz0wFyC70VdLpJtF5H6p62tYvjOlezaT2m9w20m4QYRh+m50THKD0MAc0WRcRYiLectsUZdFrSpf0PJNTb98IiA6MCeTZb+oH2In0cPf4ePwjyo60bSLliN7aPYZUCRg6Z84AXb2i13DuJSV5uIR+i35gEJOM/hJJzuT34VTJdy5eIcVZz/MbECHSAWKRawKmZAkcNDUROzclu+5xkagtUsZ701ivRPfhnBLD4mAdMfVBikIkWGeQrmTuAzQMkQccI4kY53xAinJ/Cmj29fGLdA9peyDTg4InLLtJhYHIPG3+fl3cbNyu6KVcRcs1+4BCq7buVOgDadE0Im2La/oelWMhkhLjL6l/pG4VgXZooG+TNcN1mUGhYl4tQEiBoiili+4UArvH3chEg35qReUF6hJluXS3VjbvrWI4IukrbhEMigTS2pgn2S+t2AQehe9HZGeyo2WIkKDR7wbfGMDnLbRgOG7H3J81MI1wnIlbz9HYTigEt/YisGewJ+AYeenbtNEY5NH03t/R2L7Zf7gu5ZgXR7luzWtbnj2tN61jrCeqaUhEHxGcQHYR6Re18bg9y9TZvQwRETsusv/Q2Jday3qfLIQ5WX+dWa4/UF4wgjj3dudJNQiPyXRLgmGU1I83AAe+1webCSmY5qZ14b+5pZWaINsQjW9IROGWTiD79un4vl3XtrQ4rY1iu1KeHE/PjRfwOaD8mj0dfMoliLgkMY/h/eptvX52CsJnF3V+6WGNv3xAy9hBfbQ6YJQhRRbrIJ/TebOF52ZzKP/W+L1TQHgGVa2LIVGjGax5YjxOZk1Amn7MPJyL6duNVfd8x71VhIIkc23qnBstyPHBCOGS6QpUpaHPH3WXheNVHKOrj/R0sw/r+eqxvb6uLPaH1UNaGRyXKGbLMdjFnotLR+eya9qBKMFIJBgZp5qhwTBPmaE2kxrrpniQEpgKc81ww0646eL9erx1sx4bWm8OgxQXx8jtwgZUuqDXbN/kph9xkiF0Ps7pES2WOZnEUS5J1zT1BacENwXJJhbz6JhbN+kD6NCxFG33BqFNrj4GuFST1+99JtWbuenKX4lx7mIyS7Xcz0zDYdxZdLeZYR6b3019QH8ZTjj0zmF9fE0Kis29Be3RhTN6D064zG6QgDLWAM+nM1PKfL4eknLMsqeYRwtKXYMOnJuATc/+1XiSqR3BgmIb9QgHItuvUcNjXs60u53kr+gPovwoIiKpesJ5HNcOWvvcgYBJbiMuWEihxjv1puhd1sMiaBrNfW6KGccC035iqP/NVb2+dF5/UL0OTgoqIod1RkVzTnhxKuWcrI1z0ownDJboeW7GVu7TBdHj/1foJCctwtvTMubxS2C3OvuwDtTVY+OO08Om14zpzPc5zQ+phyZ3IBTiWnPMKYi5NOAYqfchrZeOQHYo19zTRJCHfW/qAnL+gZ5sHGakUJ7QRmhy+6K9U9WY75rf0meRKmwcGugSLqq3yQEUk3+H9U5FvZnH3erMhtrT5Jyp5yM166eWwYyv6M+k6EQ5hHnPYZIDoB6yLZn0tTE5NItwVJIe3IfTkOXlOJdsMP0EclI2OJDhMIv8heECfRSzrrA5c91rAhNYxvmtW7BJwrdhXqHmd+rue+oi8yrSaQ+K16Y2ssbq3uBAfhNOPeRANBsnzDWkOeZUQ0N2T2IzD0pXmrQvUPxbi9rIqRbJAJzJlebu8hKx8jj+GAc4xys6krAGbx/SBp+55A4gjLCG4HqQfQ7DiGnb3HhSsbNbRn7R8JJ8mA97EJNOzNtey+yKJDP2u7O/5zaxDoMDoYdj4/zNus9zHWnySMNMYB5jRDSecO7gc0pIncTc5xyHuCcrIqhKCiVTFlAN3aScQF/KY01J2iXfz1AqmTYqupYq6hhDTNoN9MMeg+/sYxhHudYm+MSmC9NDE2Dg3tGk0UJ9hGvvNPbIwfXa6ejgq3a0oUzn9YaJp+ENYS7FAdI6zRd0oNt3XL00zb5eU0Iuw/W6Ohmvu14bSyu8PgPnYKWtlV3O6Xo5rryH53SibsD5mMD+jHsyQ9Fua0Mp5LX+8lP6fmtbGo3KpnBPBKCYe3E4Ny4zc+TH5VZnnvn8GuZ15qg3+yMcw1diUnMc1/NzD+g9q8f1GrYx5j2OcpzWD+q5XTjmDNgE+1WOV7MP6Xn6n5g/1YJG9NgEpbEXNDod6GcmPzYBZ2E/ZwDQpECJyR3Naxg0iPzJzyS3r8eFePPmzZs3b968efPmzZs3b968efPmLdauaQRi0AkkEQTGi1s6p97gnZtwsREZQJQDQg5BJ+G8Pgp0pKtuamX1SAyiEci9IJb+BBTEul5TO4hoApOww8NtoziB85jXR1EiohEIgwdQzKD84tBIxgythNwpRhaJ/GIiUaBLQPFN14DMY1QQ94nqlQi9HOqxeQBRE6gpzjyuZVwHeqAP1BpRdKSOjqCUnGiAWjOtH7a/AlUwRDkTQEokK+PfGvVmUgRQ9lGKaDMi7vR6JvWm0ngKEdfsV5DcdwltHLRlI4ZC9FAV6Ai07WqYqH0UQ01jxMMkbc2yPTAC5Ea8xgk8UASHSLj6UfZh3hOJf4G2id6pcNkdV2kvuCPmRNYyGjXzGGDxoHEOSJ8HGpLvyv4xRJvp51EJfXdnjN5jgLEtVQEKFChbE6UiMzUGbZUwaGRcj6Kc/S690QTBdTWrqFxllmqKJPsiU2eUd9BZ0A9VOaV9OKpfKrlSwKMHqn+nrM+g0A37Rum8jluNVf3AvI9BpBJlj7bUWtT2yygnEU6Rkh4VpA1dCajLQdZNf2TU1qj9AR1EVVU+n8hHpiEwyHomyMawQBRJRAenyAqpoz2iq9FncpgXNu7Qi4jSNqlPqM6Md5p9XD/C2p1aIZy3yRCggAbrMkIY8pmkzFoleT02KT3QToiWMQgDooeoFApxsAHQrPP360U7NxPOiXUA1hCZ8njBFHxNESEGMc7lTAxChmMe3y8Dmv5w1j0WGvXTTMy4R6oTKPkcgyOUovkeXP9l3McEEJCmRZoh5zK+6/YN+g+uqdJVN8OE/Z/t1qXeXbyEcw4khYjI4l9rI9t9yV40koitX/42Tm3ZCFhg3bd9oxslzHbLJP79kv27n9KevrXnRJK5p+wlcNiOQdFwPiAryghT4Zh7ou4s1sBAsRGRzn1cxMYwbBisUevYkxn1eJaRSvVIMcB0NsOMG3XIvSDXWdx7cO/DdBUJBzLRoJHy7O/uhksUYWYHz0famkTb/VvuM60woZt9YARGyaRzIPBGJ/Xmi0DNcW+yXFJOa6uHRoDxtAH67rH9G3oJqMJtqFSUUhCWxIc6UKzgen3WUl4HwC7uE6EjF0pa9p2WDqJzWW3AD1xWaOtdB5+cHG93QJXO631mDutHrnWxRgTq8PCCQmELKTDc8H4rRa2/izXdpCWAZCTicyH8Dhcqmn8sOKxj97ACYRrsXYlabS2TusVcAugUOeyBQbmm7UK8iynF8heAHsdPKzeMn8t9JvtSF/RhIpRH2J9VTlEETe89ND4UFBLdhvNk3B6K/Z8p1visqElyPqavKG4dWYI4Wntu77w+fAawQo9A9ObNmzdv3rx58+bNmzdv3rx58+bNW6xd0wjEQXEko9zIRDbojS1cUP+oieIQIQdvNwU8JGBCivB3iP6ka/DcMjJW53lEi9qMFrkRVkSIENXEHIRMBm6S+iJCnEFSTeZ5aoYiMMwB0i9B4AL1yNxIJh8GPPVEKTJaPQL6bdhnKJ/PRbJYoKMGeXdUjWUmQqRwMUSx4FxrBWg9ounweSsngThBlIPXM8G8EWBhng5EMAURjeyMhgr6CLcPEJnpL41fkIi/RB2IRrSNgAI/+PDJFvKUQdSiiZw+yTXt5kxqzNx9owHa+657WOD9aVG9DkeMcurfTV6aGYYhEZWF6EwGOZnYHtjG2Parx939jN9mQEERHhaR/ySE4DI5NPsqo0LM32Giwnj+zg28xp0DMDAQGObDYBgX98k6L5cR0DtST+25wOT6gTFK1ZlzI42TQCyy7uLGN5tAf3w+iIlce9trwXAkwXBkENP9rLvvRTnn0kjuRaEQCq5QbIzzQmdGz9cP6sczAk3UUsIcm24B+YWcjUTLFS/pj+sHgGoMUWbsy0uf10h4/ZB2MiLVlj59bnK8/QpNZJOpal8ufPork+PKP7h9ctxacOfgGWTc9UuBGYpAZKoUe4mQK4jQ/7W+x+btmgyH2lomjyCOiaKhUJnJbYlcg7uHKbyFW2I+6gMBQ9QY20QU3Ta5WCs4RhvLAjVCNGZ2R2++faPeiMg6fu/2siNhl9j8rTvfrnPpqB8zB2EdF+VqaswBOdPn2I16wXhaXGPeIb0mx7UQEJb8NgHqg4ga5g5lTsEeEJYm9yLqJuqjFBAaAF3cKQPlu6m/I8KUY3QWqHkiLvhMI+QVI05IZFNegTw29xktLALXrvMP6phw5cXaTihwIUEbh+h7uzHlhRWu6PHKX2hfPPdd+gMmlmeeSfZFoqOjNeDk/X0OxKdto8x4XCFLhcyjnhH80Do3QpiH2Z+Rfw/rwkwF6z8OFfimhcvoQ7N6frh32WTfwaDjUa6yW1iOqDyugVle7qFo3KMyT/6Q7Cs22T7H+vFvR0k30pHGe8Qxzci8i2OmcI9o8hg/SaaOnueauc3cbxDDml4YL04bUNs5UNLOz1yERBFm8HGe2FaE3GxRO3w5q2NLDpDjDJIeP7St0K/jZR1gl7M6npyu62DL+xCxGIm9FKEwdrKsA+cQlU3UYRZl2eloA8oDRXi0pOjCzZaqh9YbOrExx+J03q0QVM5o3STQPi/Vp12XSykzfhcy5nIQWWnksO6s67HJc4w9AddfJnd7Se+ZuIy9c1nrpjeLXNkQ3mpBDCXg/ifci43wnC7mUjLUAvgvKLI7RF7mURq+BIrxQaySe0f2G4NkxjG1GMie4DgZ+YV6U/C3YN3N+qU/Z/cE1nxALEb9duQekpx2TTsQg0H4HxbKjVX36D/AB89dhlLNEleBqPwm6U3j//emQX3EwiUNp2GcQAJVSgkVL0DYwzgHyUeFcSFHKgcXkITRMjl01EI52aSxGKMjlCpcmS0s3jD+cEIgBbVPLjQnLrMjJVwf96lhkY2Ow8UGNwOROiCpowYyzfthYDTfCca2ZKhLFT0eYsCg6EmAAWmEDUg2C/WqLGjAkZLxjlvVdAiFgAQpzFVdcLeOk6vnpnQNV+Ek28WOKcfdqdvxxu/EQZ7fYz7cq1PRzVLnY1ZkdM7hmNB2u5iLccJTmZMLUbSTwnlSgvWa1vG9CfrpvOOClO9klPewGStc1vM7t1Du3X19nBPBOEKxEDSOer53n+PV+LcJzFQDiiiAEp3axQSZ48QJZxPqgP2/djjGwQ6fQDS5DVNuB6q3vTZMBRKkAunnoMK8pZXaK2n/b4ZU4dwOaO4F7QSzX1MPcXsOyoNwSlh1XYxbuwj4MLADajE3JummlqEzrWXfuV47nHFWhL4CUgYvv0zLyOfTUVm564Ceh4Mms4sF91tunxy3ITJCtVUutjhPcV6t73cLzJCinN8YP7czo99l7cWoa/QNUlBIO+/CiTsNJd7aQXeAzyhaYi0SbR5FxAwuwzxSg2zpC7o2uVxsFjbcQnRNUNTpkEtxDmTcgXtQxhS5PsCYkz+oA02zqoseI+rVhJgGxeLCYJilJGtd0yHYBr+ddB4GL6cu6jM7cCKTpk/KPNtPGxsTLtZJa2d9lC7vbWOsx/acezNPRWbOI1zn9Gbc4/XM43rN5u16npue8iMIREOdmUFvvh/vH1G5uminG7dpXylAJILvYYKafO2nQWHmGts4DUmPhUXpFERUbfmp98yGa+V8GFTo92IW6d72WLIpkhw8JbAMXzE3zIOY+md77M6Qc45gGMb0OLGCxiGsk7GOjIKdeeylGJzOrWHMxd7HCJHEBAO4Xk1SpXjBvS7ieEVV4z7GWpMqYdbhrMD4ULjkrl+jFE1ACAJOcUIoZi6f5svqYWMVgo9cI2KfNUDqJ47vU7nxxvC6edKNtcM/sq2L8JsWNGLwhSc1qPjtJx6fHFehyMP7XKzrxzxYqkyOb53XnAsNcEArGLxLcApeaurgtQJH3TAcxx+uLE/OLRd0XTaT1oFzGZK6a51p5/V9cExTqNTLT6i878nrNa8TqceVLgRV4Iikc3OtqY6I2+b1Pp9fPzQ5nsuOB/XIySsi0unFAE923ON47xACg1SERrCo19R70rlMM+I88EYHEG5M8D5hM6BvwKZd00Pu81IA9xAIw/0n920EFPF8ZxGAJUPxdwcVORawLidBYWySBwgYct9IUI4V19Pjif8AfoRvZJ7C7M2bN2/evHnz5s2bN2/evHnz5s2bt1i7phGI6VogyW5gaJlDUBITraTrZ9IhtQV0VJsoGoi3EDFkaIBw0pJWaCJQoAp15nENEE5EzvE++TVG29zPIlKKlBhGZRnRjaI+TITbWtn7niI2Wffy5/WGl1+mL0jovoHIU7RjHV57eLtHiPwzokyqHBGR9M4zWrD+ovGDWV+jVAzknug0MkQR8TDoCAQlWvtG7msQQWBb6tZB1YtBXw0jpATRgnmgwBBBSWch0IIE6Om0tvdu080hGg3d9ZHJA3IPbh1pUiybkbdHxLh6LPw7AY0GeaqH04/oc4gG2LmZkAU8s8nr3QgKQ7UyQiCgSYCWTLSsYIyI0gmwLbHNmmS1QM3y+Ux4y/AMYfmMBjcOuttGd5FJhVFeUptJPwSScBC1IX521he+aZ9RPQpHIQrVL+iN2osxCEgqVfC9o/7hM84/Y0u19NvsHteBn8i5aBxrLiX2nBMRGSYBa0dTI5Jq7iHtiDuntAMZlBvG4gS+ZX4DY1eS17sjnkRTRX3ViIHFUGOJ5Jo9rRc1l0mJ1jpKN0DjBgrCiC+tYR0Aem5rXq8nxW3QiXm/5PgFOD6YVAOgSnJuJiKDaBI+n8i2wjqQiYdIrdFrDM0OQ0iy5kYycr6NfhtHb7dCVPo7toHaASDsmSgfY30H81fAlB0zoJJhXmvjuDytlbnZ0IVREvNEuzJuWBkkbCdCJk6Eo4uuQlRsbb/+gCi6hKGC67FB9YBqTmP7MUgp1GvUVoclpOIpO29n2h7LxfY+gCAE17K7x1EWIJPzQAYauiLWlPyuXO/mt9CfFveO/ax3fg+m3xlhPVW8FENdx+lsBWVEnZYuaVl2kHCfyC6D5iJJg2jVcA2fDMUWB12Pv3jaFoz/I5uBAiUch1j/7SXu1dx9hkifEdgV6Q30W+xVcptYzwABGK3/skD58H7tZff+zyCgkCqnW8a6FCImZJGUntRn1Y/qOFc8px2uud9dB4M8F+SYh8MFGFMW1K4Hyq+2d80r8hSkGMwwFPBMsvRyG9jnAV1t0ND43qWz2D/cjj2PA/00n63vOScisljU81OA9n/X9Q9OjreRb+Uy6LivWHlsclwBPXgqrffpYlDg/fOYHM43dIFA1OH+fGVyvN4eMyaOTqua3DTuV8KiZwGDUguTbA8DXRKTTQv5vI6eUvpTOaP3pzDMsZLCaxvoaGk04qkMNzdqdy5ewG/HZaOQzVxJ5+YNphgAldikVTJ7S+y5kN5s5kF9v+qtGCSAWExinjdrzbS7PScq4/rgXju9izl2BSwH+BoMMy8GpEcR1ii9mshT/AcZDl7uvblJI4M+z1QBUX9KQPyX6e445oj7E5g+GY0Fw7gcDg67ph2Ig7zIKGdVSo3TEN8pu+aeTOg0pFpknc6uKDcGnEXcYJMGNMIHXP1zbfAX7tYWwc7CRQwpu33k2iHtqUtoK+czvHZ7nqpZe2k2XKTRgShsqNgwXvgO7lDEaSNQpAI4zOh8YN5INuiUe36wVAZsXkxew3AQMjB/0O2ohMR35eRHZyk3bKSLsy0lTDtg/WJxxDyJDcCqSasKJ306vZnrh06ZXsfdVXmeNNbkOiDb3Djg+5ncjC2Ukc4eDE69Va2c4SYUrsJLSOVn+yE1ghsgowzHfI9UXETf7sKxybx8zAtjFnZG+RwTFGDe5Qf3OguM04AOXeaq5AaIG0aUy+TyQMW34GQ0YwonKI5pdX0A80zG5UBNhZvpHmg+hiqNb8p7FJ/QuqiB2j2KmSWYKiFAGzPO+Wg89PminralmyNJ9kfSndGKz23rh9o9upcWZFREsf4rXtGG2pnVOYiKwRu360BrKEqUc6UZ6iT6fAHjCYNhcCbU95HuGt4ubnEDOjUDYTunQImOyX+cgkOJ72EcRlO8PzZDKC+pH6QKG5XZ0BnEd6Yzg5RI1nsAKngG/dfkQER5SbM0jlCo27ap6q6nDQ2GvOEEUqhEOSz5bnQgcs7OgF4eF0ClI4tzrElHsqCNdYQCV7Z1AilOg+qExjK/oguZbUwsicb42zMHES2OOk4nBo/N4ttQWlEHaKtGuZtT6ax7/uD1pFFnd8b3t3MpysJpD+ebypQzjkKzbjI0JrdjsXEQcxacJ1yPxilN8j2idVyUbkZEpI+2HOewjnXKoi3RmRk5+ESs0mRjyV3vHJf4/dhfmconetdobT5gCgRvX9dGifEeZfqMm2LXmce4FZMvehQThKSTj/nJ4zbNJtcf1mXRGrR2PT36Mc80QQiCF9im8HzOpTFprgRrzV6JQaSYNSKNTtTQAdOGIybIgHLJPQbuR+cHacUJrvWZS5wpGUB55j3poMyt6Tu1QA1l2ZlHLxdSbM82tBOu5HXMp+rxp09rwvE33/DXk+MpDHTMO1jHpHXDjEZKEpg1z7R1wp/J6Mvuz65PjtOgsi4goXgTHqCDoWrzQgY0ZJMITy2J5zfhHLy1pFTi+6uH9T16+h6HQL/ebOukwXyMdFZW4FxNYFFH9em1tg6whwqah203pHGvTOv32GhoBC4LwEsmo8dMR5J6XI+7B/WZVAmvHXWvP4wWAwAhpAenqkhfhlRjyWpqzz2o2M59G/v2AI6/FHQC+kiPx3GmN8U5EGMU+l8QM75QS4N+Ia4/ouADAWa9Mh0Melg/6k5PlcS7ZrfDeQ37w29kPoTmzZs3b968efPmzZs3b968efPmzZu3WLu2EYi5SIUZ0cyK26vMCCON11BBy0BBs9E5/R3RDgZuigjn+VdrBMGISgCGasQ/SGWlmg+VGxHdKRIiC+U9Rr0ZAZooopItCvgvEWFEeDECRvp3GupgvYw7qmfQZDEUYiYO376BXns3xDmzuReCz+gzo9WMbBKmbFTAltyoLkYoTJJ9ojlmNXJCBI4p77KG6Ymg6Icw7CQVlqsa/s4gYtdeQiMAtTkgmoyRW0ZrGJ3kt1nTZ5FlzYhKksrkoJKlmtroO8uhiECMkikRmymgUNlvSNcWMrGBJCJNg1EqvhORpezDNEayqydQH2HfzWIMaQP1aEVG3Cg+g8BB++kDDVi4Ang/okcUdxFGiUlbZh0w2kVxleineM9Uxz3O9IHSqUPlkONCBjQuJvGmGfQtxwJvz9iSnZGkhiMjWkT0WekykAohGia/qX2zClXe7eu1kxExWtuPe5OaD3TR9EV9TvUQo7K2rJGZtBQYCoj0o9pppHAKrSjz992jbLN6TZ/CCXGskhjUGJH98w/opHzp2zViTxRUIga9uPAVrajaoXHH7SKNSGFdf1g5pt+jA8QmkfIUJ+I8aVTPIdxCMRg+l9dzLDQIRCYyB6oyQlLyPQv4Hi2I0RC5x2/GspPKVrqkH3kn6R7DskipUS4q4uPykzq5J1YUxZFL6/X5y0C37Bt/8MJZnkN94RsYRGFtb9sUEZk6j3mvSBEV3Mcd+Jduyd1v2D8oaMS1bLY62lPe0iUtS/0A0PNlvR/fKQ+EKYVFrGoz7n9ez1eux3eioNxuzHvjnUoYO5rL4z8QdUhjPZq2j3WLnd/cz2d74z1NWgSgpqiwvn0DhKcexfnrtY4jgFHEUBhc07un59Z6s0MZ5Iay/hI9x3Y6xPqPIogJrP8sy0KP6ye4dnSjdZi2yezXsH4eho1pZJBGMYKQMD6HaGwsUSUHOnELKZbqJ915EIgk4jg+mMP1ZJcBSTRh7cRQEXm/fok5NbCmJZKy6P42BYy5jf3u+w9nsD8qsowcW7RuFks6vvfCBcvNZaXmEkHXgaT3Cw+fmxyfaaiYSAbqzHNpKA1j4MiDdvZYQ6GR52tlvQ9Vf7EYiTsmoi8fDvxTWFz9p0dePDl+3bGvoVxAAuJdD2SUHvm71Tsmx5WmDnp/7/DDk+O/vKAoxResKvX4yZbOpWdrSrUqprUOdlq6IKT6dBXQ7Kj+pkF3bkEVu5PQwXEXZSxM6wDcBstJwLLiXtAw06ruAbezgP1qwz3fEpk8nO/tuZ9JiUD/CcaT1A5hx+6+Fcem4dhByvUACFYiE/sUMcI9S+exdz0ZFpprYIxdGaZwWNL2S+Eo9sNWqGY9bMVRj/baNT0FDjNDkexQilgokvZK+i4/uIGc4+M097snn2ghY1X99NjwyOFwGMVMOKQ5DtPuxSMXPVSx5fVNVW03z6LTjo0vUmgk7dZuLOCIoeIZckwybxPLGMCpN8gjdw1Uabk4bBzQe67fqeeBAreGYuYVQS71aJyM6fRmEUEVMMqkxzho6ciik4q5E5j6jfkC09M6IDO/IFUno9yEwz4GTNy7VXK3DX7rJJ2ceBGTK4VOJ1ATpAb6c8zGk21pAEl7Ds5R3bPNBEZhGUXEwojXcBFBCnxmB7lVoDBKanMS/Zx5Ejk4ctNDbl9vns7S8bOY54rOO0OJJp0Z/cDQ+ehIQz3Sach34rvSIgetiK0b6dH5v1dFjBB+k2cLFB7rXMZDuXljfbCvoD+nkf6BTppoQzpgO/X2dW0UhP9xjsFY1M+RAhE5GdBPMAfG0TLpKET6Pyk/oW2tvs+dz44bdazJbe4jGhc4jjlx8YvInXNHYe8FYuuCdNhsFSkOuEFJu6/vIc/d+gvVaci6odOQm03azkmt5KjP57axAURZ2PKnLrqdEz0GJE1KBPdCNV2n084d6OLYYoIpuCXHq+i9GTAw7S7mu49iujbrtD3LSUsrOF/Qixpr+j3oQJxZVZpUdVcrqpODY/YIc0qMC9RC3lsGRKmAXD6D73GKgUm9JtVCPaKzNJcwf3JcpM8BNGfmVWSdcbx00XZNLuZF5IzkZ0ddp5GihvczObnLeA4CY80V91zKwDwp1caBj/LUEHCYeWJcx5UTUDRHGZnr1FCYsT4gTY39g45QwTwV15+pKk6aKG33sDtfqKFdisjQizA/bRtJ/Dgh8hQqH9P/YJ3HftJhbkQqv4O228cYbEAVBeTJRw7WKJ1N5VZ3sIVrwWH6G0xqYh1vHeQhH87EJE+FmSAv3onpZwT9NglHZ5Q+iarV7OPMe80ctNzH8htktpEzcpVjhV5OkEBvxl3ewRTXqHCwndcOnT+pg2SrNz5/MKfU2a/UDujz+zpIU1WZOQqz6Px5DAqHsliwwmZmdGI7UXRTnu+vHJkcT0NBuYaFVxGb45VQvp0Oxjed+PLkeJkDNuxxODNfWtKcjatFvf5UWTfDM4iOvPboQ5NjPpd5HV+0oE5X5lKcTmvZZzNaH42+1kHk6Gz3MQdDhbmHaPWI+Q3NRKmHQV6/0wiKyZKlg03LOJgCxR5BhsES9t3YH5FyPAhThqUAgGLOeQMiYgov0KDToPVntlG/C3gPbPZLSA/FvPccf5jKjGut3GU4Y6/bO+nQyWqc9wSzkJYdlycxmm97T3+v5inM3rx58+bNmzdv3rx58+bNmzdv3rx5i7VrGoE4Dmt9HZUqRlrgSSZV2ahCApnD6CvRGubZ0WGMci8h9yaiDUREG1FNlt2qBwMxxOAYoajwQhsPc5FIrWDP/RjZpQCMoWhTDRioJtK/xQjDkKYlThsZOirqHWpeAZWlidxXhPoEWUBvO93i2a2Yd8I3YwJ70nxGMVRsIluHAdWgEOVA5CQB1FgP6swRmowqyVnSlvc7YH4Sj0bke3eXoWg5pVGZ5GMKH+gdcGd7HzVQOQzSQ6CI3zVZdSStR+TYRE3ZfqmqTLTwyB0VHcagAQ2aA2qbRlkLKF4jCoIfT9oS6RV4phEkilFTjRPtYcSVyCBScRgNMtSzBbwg2zmRxkQgh+OCiTrj2CCzGQBPud9bOu5+yO9B9HYG9R6lFhi4hd28Oaw9n5BkJjGhMIqI9DAWWtrg+HyftEWIA1C0I7NLFV9tSLkdvYZ0W5pR9GUqD9BwKXRCZBBFiYiEi/rh+p06MBfWgcjFPFI7RHQ+aM5HtK0RFUeEHmnDy5/Xi6pHdRDrlN1tPLsLij9o30lQIWfOjn9AtV5j6Eo10E65DoibvzjfZ/BOVN02yB5cX7jMfog2gTmfYi8RMpuK1GZtQ7ovKNS5Cmi1QAVOnQeN+7hbKnowQJ1O66C6AxW7qTxEVLDO6FQodY33CCuNQgDpS1rBfaBQq0CbMYUE+1jt4F7BsKc+M079monUAeCQ6fNA0wNByvpuzYXUX8y1FGYorIN+BMou34/IRIoEMuULkRhEpE4/jj4H4ZnaYTeak/Rg9vlIVdzUnUEuuvseUaNcg4+AgCxeQT1u8YPoYRvU+9oBN2Yis6vHRvQIfTRCbU7Usd1aH94cluwEkggCK/yYdl/rSkcgYvuG5LC3a6F/UsARSD+z/4PAINXZKzeHxzGsDDPOYj1VPA3F5FVcj35tkD5G2BJI9WWMc9g/DJEuh2twWo/ovlDQctTFmIt3SiDtEpk/iW2kO8G97dzk3rcZ9CLrCZRKijwSXdw56dpgiywXxnS0IT5CFxs30pOXc5oDZCVTmRyvY1Hyuw/eMTn+p7f/2eSYdOY0JjlSjknfvWVaBU12MTgTAUgK85d2D4qIyOGiIilnMfmnAQ0nWjCFcvWwaSlA5IRqzrQjGOxroGU+UFUE5xwGt06g91+FgvQ8rjnd0zxp3TB/Qy4FgZSutp9UUusxl4WQH9rkELRlzv19qjMzddiMXpMCYjExFcf2Qx9KAxEZ9jmiDpPY8w7RP4zgJI77y3qNoVxDHbpzSK/hFjhSgd5j6CuYEp/iB4ANgz2nDNIafZJq0kOIV3F9mQ5RzMO2e4xxmUcgevPmzZs3b968efPmzZs3b968efPmLdauaQRispOQRJCQAXJEpODdHUy7fmXRAybCzsg4IrER0o6RWpO6gqkdmIuGuZfgqiVKiXLdJp8My4VoDYVTmM8Jzn8T7TJouTBvBxGCtD4QmDYSDJQH0jUMgD4xieqJpFp3587J7CSc1zPfIvPWMbelyd815SqXHuc0jYVBLppcmUDUJIkIK6IsyAHEPJcd5FMZzmqkgLnlGEELEMFLh1GUIVAYRHXyHhIX7TaICCA5kfNhakUrp3IYP6hoo0nOoxI2kNAWKDci54jAy4WR/yqSrgdoM+JubiZ3Q6rmztfHdjVC5CSHdtU8yrwT+G3PHUkeItKTRv6KKNJqkMMQLhjFiLh0IJBiUMQ8HLgrgeViFJeoicwWcqVNu++TrjJvZXjtlDtBlc2TgXfCtyZy1+RA7caNV0BY5vc+d/D0g1reQiNyLt1g/e5tY0TVDrLuscqgpIgyi0G8GTGGLeQ+WsB4hTmWYwJFvZjXNgOhiki0g2hwlj2ImVebS+4+xvcrXdDCNF+o4xzRjktf1IUAhRm2b4CQVc2tEkEEV7SMYo7f2dNa4I1bdTFBxBTRUFnkymvPYQ6CmFprzt0e+C2JvGruBwoeIXAiH62YR/gcoNkKaxijuW5CXTeRly+3o++3e1QrhOh/oliyGf1O7St60b5TlcnxhcfRmJjHmOhwIHMm+ZEoZKa3M4ga5p4kQo9IP66z+N5c37WwtkhAEId5B0e4DxGkToaLaF80+bjx/DxEQKqoa64vWfY+cxeiWXchjJeHwFflOjdTxYwRJKEQ8IQ6jtZaXJcJ8mySncN1LxGI5ccgwnMd6o65DtEPOmWsL9n2OKbg25icU9uc5/V8JBwUfY/R3nRU3mJskB0LXpI1RZZF45hWZusA8xsCkYX20DXjLx+EdU5BP/AQGySiTYkAbK+GyD0gipJYH/a5nkInaC3raa5pmSud7I4U1teD/ej8XPcS+QhUk1n9EQ1IRGYEpMTziZ4iipuijmQHEBVNJBORUWTp9ct4PtCTqSzQdXWq1+hvUxmMYx2de2+auSIiFuW3knPnC1xrawLUYznNC0hRkuOruhn8PPIYvqB8dnL8mY3rtFwJrb9bZxR1eKGt8Or/o/zg5LgBCHsSA2NhthO+hw5ED9c1geTJopY3jUHphikVENga6EBO1OGjNZ0b75o7MzmegpNjE5PAjbwnNuTMb1gGlSOHRV0WiM/HdscT3lxOry0X9JkB6v3SRnlynEF7SEDAZ4C9aGpW96JDOE6CHdRvSQf+LtqVyaWPvi1ALwbRfhvqfYPA3caZl5B7aoqnpvFOHbPPQ1n4LPir+CwB8i9nBFSpNoUfhL4H6heQfWr0ACBgxnyl1BKIGITDZJyzYa9d0w7EoB9I0A/MJEO1tgRgqdz49rDpoQopnSWkFkZUBSr3kh5o6BhpLFyQ1Dm34XaGcXPFDRidXUbRkmWneibKSxrnyPGFSUFrL7onvOQO606vN3B2JvymWhIaORNPc7FZPo0NE+hj9UPupMKsJ7PgDH/amaPTFAuNGb2W9dWHc5DnjYOEzjMsvvsz7g4dALYtO1rIqdP6AZkENTE9/hC9LW0QRv0b7YRloSOL390IglD9DOInQwqhsL1DYXlAZcMp9yqZbagZKlzSWU2HVrdMLyD6FYURYoRI2PYLF93fg1TeFByXAzg8i2cwRkzpcX5NbxPlXq5DUS63jiS62IyxvXPRyAS0pFBzE2jSEOC9O+jzZCawPvKgJVLchM7/6Fl0eo9qjEjoIb+HUUXEMznuMThhRJ+gfkYqe9S3hjGqZd722jAlEqTsuJSDQ5eU42js5JjI9pIDnblXcBMOOnN6TOcD79NcdAcETKJmjBt0irC90ykavQdVmnls5jf0Ez6T51mu1qJexPmLTrDGfn3BzpQ7+XRnxh3YMA6S8DYUydi6Qe9Nh0TlmPsbkMZJpxOpoxSYoAoyf0uvBpN7cx1gVEiZkiAS7cA4QAVgOoioUszhZIjAinEGUXANm9l2VyuSYng7+/XjT1NEZUfPU7RMsBlJhGPaCJsSjpV0FHJ9krmAtRCpxHCocj5iQNQ4slFPAfoB2yHvY6jpeNb818Y/2LwZHwzPqa0yZYqeN+sGisiRWk2BNupycY6jWBxEGkh7J1XZCKuhn032/8xqUtbjLEVfYhx8FOFhPUZBiPE17mCJUSbH90hx7sV7NFf4MVG2sDzReDmMcfx622ujck9G+aTImrZl1rlJeYN1pBEvpKwx1h4ERHQKCCT0uR7V83WovzLwGa1nklBnZSogk2aHAnagBxpgCZx6dAL2V7ThJUkDBoXYUJsR5M1C0KRzRO+T2tVxNB0CL7rzFB3EehXjIvcA3NdwT23WugP3+G7E/fDbEZyDBE8kEMTuZbXs7ZLWfckRWWl0EYxDB17I6gYxgwl0HyJH10/rb3sYgOugJ79u6auT4wtdXRhdaJcnx3eXH9HygodfTmpE6S/rJybHR8J8Lr2k1stUWt+NTsO/3D42Of6HK5+fHF/q6fMf2FGePNWT6bTsYhKikEwHkzhpznSoUmzmMjbQl5vqfDg2M/7tfY8fnZx7ybEnJ8cPbqiDdNjWZ7ZJMU65fS/GaRhDme/WsL46hxQGt2j0rtvE+QYWbCGAZITn5C5CQXoZ+2jQo4do11zFdVt0iqgFcDiOprjQwjiG9yawo3VQx50khFaMqGkYZQhwb45FA6xPSo9j/DtKJVzUb7iOfCY7NU9h9ubNmzdv3rx58+bNmzdv3rx58+bNW6xd4wjEKEoJeGbXfa2NwINGCloyqXdEqEVe38EsknKvqde5t6qRkAE97EAjtUH7Ij0wg+hr7QiibaR3NtzoCLqKiQwylDTC4sP/Nw8RERZzP3iyTeJjeKyzmwxBIQoIJFwXtCsilhqI8jLqzfcgZaGFaBrpz8MQHZUG3ZnvTCELQ2PNumG6qab7nfpGIMQtkDKqAfUCSnAlB0owInKdrTA0j3oZIApoKIeEZhPwRuoAKBtJwJDbHZQLSMMh0KyG1kCaQssdaSU9LvquaYgTpQzNPIZymOC31vOmDYA6Rcsr6l/aGuySfrm/92IRae7X+2Q3EcUF+ipCaxBxR4EdIiyI8rD9kP0mhsbNqBqrps8+4Y4DUXTJIsEI3Qj/DHGewmX0T0T+TfJ4IL7ai2jjiIaT/k0kbBY0a5PEfxiV5alv4i3OhskxApERfo5dRKJFaLIsUImktxK5w7mDVFOOLaTMxlEnV//oyuT43D/QzpcBSjwF8RZSjol+yz4ZUiaQ4BrsIIOqIgKdCEy+R/UQBL6AnMuAUkoqNuuDYjNTl/DiAz1f368/4LwdtW2bjgDlhWBGe44fVQ+HbpCZFNaAHiiD+kbBD34nDCh9jiG4aX7NPfdGxromyo7t0ayz8Hzej/ehEeXf72HcuANJ6JFsPZ/Th2VBXeoAhZCZ0vm2vTMenIMiIvM1rWCyEkyqGsxT+Q18s3n3HMT6YAoVtjciH6fQDlpMA1B0zzHNpfH35lxq6P6g3bI9GjGTsh4zdQ/nVdIVLasFSBCO3+7MGLFr7wlike2dCF6uaUnsIVAD72poxfhmccjkLGj4sQhZ0vNJH8W+Ibpn4Oe0Z2yJ5FASqaFZuzJ9ioV64izofkPSA7EupViBYP0+/ah+vMZB3D/rRsWlrowHA8OmImoOiKUMUui0j0GUhPuHlhs5JEQLY78ooEuWIMxCAbXOoruDGMHQfpRSA+8M0YnUZS3AEGtdrucGpG4CAZVAvffmsR8uAql5SSeNPpDhFJvg/otINFKqI+oyxUlWc5XJ8RIG3SF+N5XQAfPhlqL1ThSUbkRxFQqXzCG/x2JKB/JLaV2YrKS0DPc3FTFYwAB4KKvovidDOuH+rOZtoFiL+V1Br5lK6HuXkzp/vWxRqcoHMirM0gRtqIkFxQ15pV+v9XTyIz35lXOKqtwEdfKh2r7J8bGSvlMkKvMdpx6dnPvqll5LOnN3BmhIpCypXKHqHuHp6DdkGVBkBPvYNvwmGexjU+jnPSIQw/aWWodo0A3IR7KhmzvS67tJ956MoiNG3LOMyZwCQniP/Dkisjk4cl7j2IX+GvUn1BeR3PnzQPYi5UO6gjXXQe0riWg91Xevd1z2jB2In/3sZ+Xf/tt/K1/4whfk8uXL8olPfELe9KY3Tf4+Go3kZ37mZ+Q3fuM3pFKpyLd927fJhz70ITl58uTkmu3tbfkX/+JfyB/8wR9IIpGQN7/5zfLv//2/l1LJsZr9OjYojPNqMGeZpWmI83xmx72hsXBOnI/+QYUvUp85yTToQNRbcKCmQ8VQRtiJON9QPW8Zi6G0u0GPDF2Q1NeokJggmRvD0AX0DqRz95HvzdBmjNoz74lyEYIM2jKV0Ogs7ZZ5TzrzUM5w0iP1t1t21xGdYcGAThF3PRrK0UzM4IHOa3ILYGGQwOTNtjKMHI6EN3diFu18JnM/garMwZYbswSciSwv2wEh4SM4ygMMjtxQDOb0muzZ8XswfQC/h4Gnl7jbVStcweIl414wkbZn6obdhhsa5EONo+eaTX/oIGV7yGAhR2ejUSlm0+AYwpyJMQ5rLs7ycPLVj8Q4uNE/TBlI6w8nlmEK1Pkb8U1Jh4eKuDE4Qgugf7dW0AamsbjnTEJaznTkJLp6E0ZdTXOayFjVO9EXCUAn5jzFuo6mJlL5SLmcPgunxTyDZaRlYiNCxxeot6QHbr9Ukz6R8jyKWXdQHXmIMbVyfNyulr6ku/1uSQsQIzBoFXKhaszzuW1sSpgCBJsxOg2Zs4dqynG05blHkLfp4LgMdP4wP15tP6hLMU6kuIAE1bILa+7fGho5uhnTpjQP6B+aqwj0YG6P0imwvkhXZfoUvh+fbxRsUb8tKMnTeTUzozdaP6+btNS8bkDqNb1pNo8NKdZjOWxMeoW9y9q4NDAc65vL6EPIUWjy5uEb02lHRyvTa3AN0din91z9H7qoW/82Xd0X4LiM5kGqWffzeg/m0DSBKM51dEzHOAFdNHYRG5TtLLA/uYlLHJfoKJo4JVFGEzDEmMOchpyn6UC0QUgcJ93XsO3xvbMInpl6IsOLivNhM4z8FgOmT7gK7Wqb10RE+lQL5prIoSgqImaNanJKxyglB1Bzrd7kzgGYgFOACse9cE3LdXRiRzsE86F1FzEQIDjBND7c75iyb+n1BJO0Tmrjrx/W3xYvoB/SiYq9JteXE7oyuykp1Fi3sbwmHRPGVuZPo/OhizViKgVgBNLpDFo6KCTouEVOOo7pA5ThUqssIiJXAh2wv6382OT4YFrH0D/YvmNyfGvp/OTYqh3r82cxgW0iypPEYN/FgNI0jgK1LCYEXrPbV0fdUjhRMBf+wZw6/joYdHme9OgBfkta9gAfmY7Q5ZRG7/hOuwONEM2lNCcknZiPtzWv4kpOB0nSnyNa9FxG6/F4eXNyvN3R50zldSGXwl60t6C/HQLswFzIibKWK8W8h9ivZmf0/tz3Mi0XHd9BCLoZ7YPzDOXKLOnkNICfIKAznIGHHShL7+s4r+HUGyDdQPMQ9mVwsOfgWGzvc6tFj8JALPv+9MN6b7PnIwAJwDbSy4ch+GbYcoNwXPaMKcyNRkNuu+02+bVf+zXn33/+539ePvjBD8qHP/xh+dznPifFYlFe85rXSLutH+t7v/d75cEHH5RPf/rT8od/+Ify2c9+Vn7oh37omRbFmzdv3rx5+1uZn9O8efPmzdvfJfPzmjdv3rx5e7bsGSMQX/e618nrXvc6599Go5H88i//svz0T/+0vPGNbxQRkd/+7d+W5eVl+eQnPyn33HOPPPTQQ/LHf/zH8vnPf15e+MIXiojIr/zKr8jrX/96+YVf+AVZXV113tv5vORIRqmRUU9mFJR0QsPyQQTVUvhAc4QAwUSF1Kj6wWOOxL0JRsxIlyD1j2pXRL8xCofoVeMQQ+BuJByVWgcUVHDQTZIQVCCdiBEzRqJZpwlD8cW9HcmIx3/A5USiGTqUuz6IsAoQKaTiVxRBI1WIzylccqM9E0BBpHFsqA4wA01Geys+rhVF5EGGEYQXaqSlj8SuEUpvCJ7MKA4mTbQpo+6EOlcyzmvYrAJ+byLYiGokKhVR1wGjx00kcA8j8/yORNTEPYdtefNOolbxHKoEJ93tiojXAb4Nk2sT8eASQBBB28NjmqBH89tQJIapD9jfqLDeBTVzBKQxlSbZz3l/fnuOaQZJSHh/WMeMmBM2nwDVvrOPme9haO+kTU+d0fOVm9G3gNBNIWF5fzmMGlKZ5yqzq2lOExkjaUapr6PO6kDdkJZJa88BeYHAItWOC2ugg8zqt0s3MWdBAb2P3xIxRAQQEY5Ezu1CRCRCRNX367hFZJsREAECkrRFjgOkXzaAlKXyM+ndnWm9Zuq8vsgASd2N+BH6RHOBSebH/y9ddiMEs6BZD4GuphkaJywPEZxuSe9ZxLPqB9ggiNTX00w3QoVhF3KN33H6Sa2X7RsgDHYRCPQNjbpfuUsfyvaztYL6YoqIFKLkSMHRgbJiEQiDdkvPJ4EwIPI8lx+XudPmi+ohU3EQVQ+GmRGxo2o1acP1sh4TmZhad59nva+9XFGHbJNDx4q8sUxErHt9QOOcFieKxLGFAnQmSTve1SCVDBIM98RY4FKxpmBYLOqQFG3SK4GShsiqZCvuMcJQ/OOmHs7VqKc4RGZUznTIbBzEULavFrua5rVhNymSTBrUIWmIRMIQZcPmToYU09C0sfbgetiIvM25lV0Fa6EIMcQeRiG6NphN6Zw2kjbW9FyrJYyaLJBDoDZ3wAowogtYa5KxZsX73AjLSIWebLj8BaDpgEanUFIKQknDrBtb1AN6kUimHt7PqMyirs3eBhNPG9+MaLVCKJJCEZAe9krbUCb+rrkHJsdpiKich1w30XcJDAqk8lJJ+UxHF75/tn58cnz0sCL3rnTLk+PbCmf1WUl9VkQt7mHgzKGMF7F4e7Kh5R1gPDvT1LJQPGa9oxvfBzd1s/L/OfU/J8esswXQsmkboC1/Yevg5Hg5r0hGKmA/0RhvaIhA7A70OZdrihqdL+g1V6p6PslUTpASTs5BuIR0WrpHwOqj0vago2Xog7acWNA6i8RTRvApdHaBIgarb8D9egFIWTwnQUYQ2nsSautDsCwFqMrMBd0odxfANIjz4ZDhFtYf1ayr1+u1cahD7i07hb1rqMC9RHXaN1VE5cyZM3LlyhV59atfPTk3MzMjL3nJS+S+++4TEZH77rtPyuXyZEISEXn1q18tiURCPve5zznv2+l0pFqtmv+8efPmzZu3Z9OerTlNxM9r3rx58+btuTe/V/PmzZs3b38b+6aKqFy5Mk6uvry8bM4vLy9P/nblyhVZWloyf0+lUjI3Nze55qn2gQ98QO69994950eJkYwSIxO1pefWXIvIEKM4RB0y4sl8Z1GUJlFxJzEnB76P/HEJytkn3VHeEXMHIr9ZCpFxvtMwJrLahXBJZsed16wfJtoNYpJkGqQYvNdDClMwx0cqJjqAfIWdJXe+DYpdFJ/Q+qPAC+vD5E5h8cN6JWqCqEODsABChdH13hRRbvhO8Nqz/RAd2rpJI2Yj5D3sAoEikHlnHpBJhAnRw7g8nEHHHU2QHYT6kUtxxOgD8hgy4sjQRrasEZo+hYAY/WCBUIbu0jgCwojnaBplYXvj45GXhfWbhLCRuME1tq0SBYG2150DAhn9icn9KdiSrI+vmQbKrnoc0a0s2wAQfWjXzGnDMSK7jYj5ivuezOWDNCfSgRDRKIeIEfOtsv6iHD9sa4iMDec1AsZIeh9RtRFz5izr9ZVZfhA9HM4CjoEcPxIJsHS/qbGq58yerTlNJH5eS/REEoGYcS5dd7eTKDehyYNHVCCrnWhw9BmDRtzUNsOcicxLahBI1ONKuM83kHOPZcvujgtEtGIHSMrSJT2ePqs33DmhbTMH1JgR/EAZo+eIiLTLFHrS85WT7hxHzIHGXI6cb6JceMxDSQQW6y5p8iRiHYI6YB7D2JyNRF4C7U2Ro64RXNP75Nfc+RNX/2yMFFh7iVZkd1rHBKK0qoeAQD+OPDpkgKBdcd4ZAWHQ7WPM4byTIWdEjajDUl4/Tu3LityIRO1SGNtYXzwm6pB59vKab98IabDfMBdzArkk2d5YH9PnmI9U37WwruWsHNcPErXPoUGMutG3cVAAznVEAPKeRFkRjZgGgj4Npg7R9GkAWohqNEJsDpA7vy7HhNg8jY5xQ0SkTZE+ptSL2dnkkE/c9mF3vlfa5F0TT/n/NWjP9V5NegmRVMLsK7guDLiuARLOLoL1kGhz5i8bbemii/18kMPYghxkhg0SrqeGaEjMpx4gX3UvC1QwxqpE090oiEZKELk3h54Qk0u/vQxhReRJIyvLiFCEt+EaubmPnQMFK+nYM+yhXsiYw2PS2Fv2ZrVc/R2dhMh2ofBFkmM69x5ZHSDmCjrJlNNj2hBFVAZoBL9x9uWT4//7xCed11zo6kZ+CgMU8w4yN+IU1JR4/ev3PTg5/lLj0OS4xHsiZ+FqWieWCNV4oadlYb7CWUyshSkd6O6vHJkcX1/S/raAQf1ITvMOvqKsgiY1UMAGYFz+eUXzm75k5gl9p5qiDl+8cE7fCajCaXyH28sXRESkiknzfK08OT48o++/29GyEC3YeFLRiIkVvXdwHm2J64l92DdhT9tn/8eYwj6UQr32dsIxglMp0bxcxzIXKBCNZEsYxC36cB+oQ/ZbCrNQgLf4qI5dXTAqidrm/k/COhhi3xbni+LLdqFjEXAfHe1je+75z2XXhArzT/7kT8q73vWuyb+r1aocPHhQgkEgwSAwIhxmsIMjgs5Bbm4o/GDolf29CzX+rg+13MjxICISYKNsIKQ4TwqNUeAlPRFJRenwS/bdG40eHGxGQZortfBZnFj6mHhM8mAIUFA8RnDvESciCqSU3OpDQicYrm/ux/dDRzasR9KZ4XCLnIx0CpNyab4Zyk7HDcVPSJMYceHOhM+kSE/rANCBUtYA4hRBDRss0C0S1VAtDYMLRTWoyGyUeznyQWmSCnTpBSSIxTO7TdAFkbw4CdpwEm2CSWSZuFYohhJeTtUpLhaMMjkmkBETWwPWPUCieFKlSZGef0CPN14GhTkMoCM4VPugZCTb7mEvSj5dVbaC6ZNmwqGiHO7RQiJ+S8Hn6hf9mekMMEZRyZjOVU6KA7wfJ6VkmNB60Ndrs0Wol9ahwndRV+IZUPmp4Jrcr228x50nBX+YMBjj29RD47om5N/b2OLmtc6sSDJr02tQCdZs2sPPOsTmnXR9MGXMBjvRd1NjqdrK35oc4nTYc3ylEAiMGzk6AnKV8Y0aoLfy7y28M9WLSXnkMzkf8piq1UZlNoZyadTNqcKK66fO6VgXBdJ2j7nbOCmR3A/TwWYosDHpFnoFjhsj5zUCSkpi2y0AwBQufO7514wdhwU4bquHQQUHmChOqZZGxdsh1hBzcxBOuaIe4+KcbqQ6GC+mclBYhsOxlNXz1WPgGYcBu0xGK76J9REdqO1FrcfSWTc1vwPHIr8Ng1VF1BnXHF06o1BpDC7tHtvrNBRR57VJucE+FhNcM443fF/2bY4tZo1UcLdJzkfYs0rxitYr2wrFd6Ln0hkfJ0DDFAZsY6yD1hL7gZ6HboCAWWjGvR76P9WyKTwVpzYelTNKl3O1i6g8HxY3p00sRsCRAgVM6zJAEDgFQZPePv0wSZN6ietkPHZbB/jRPIQO4BSI1lOpbQRHsJbhPiH7kA4Krf2gBM8gcI51ZgJrO4pbQRRXElOYU5gygLTvVsz+EmvB0v3jsrH/Vm7G+I/6SnIdS/BEwf0eZt8LZ+kQKtAGBMGUCPDMcB9QnNZvWc7oQiZy7FHg42BaRUZ+7NinJsfrA/W4lBM6j9A5yONdOL5IkabgyGVQiw9l9blUUz7f0cBVBRTpLBRUk+G7rqYrk3MPQR36hvwl5/kUBq5zLXU+lqAu10Hukxtyep9Pbt4xOb5jWkVlSH+mSEs7JocKRV1YHxea4yhSKa1luWFOnZybbZ0w2n29dx5iZ5mTeu/Krk4Cg2UuAtGHYlJRDKhwTIAT+mKPe76IMs+xiMKP2K9mINzSqULgjwItpOaDkjxYgOgKyttvgxYdEyg1AU+8eGDGuvCuDbfT0PiimD4O4J7IByGC/fLw6aeb+qbG0FZWxhz8tbU1c35tbW3yt5WVFVlfXzd/7/f7sr29PbnmqZbNZmV6etr8582bN2/evD2b9mzNaSJ+XvPmzZs3b8+9+b2aN2/evHn729g3FRZy9OhRWVlZkf/5P/+n3H777SIyjkB97nOfkx/+4R8WEZG77rpLKpWKfOELX5A777xTRET+5E/+RIbDobzkJS95Rs8bZYcyyg4lsw6EF5AEaUQ5iV5iwn9GGPnb7CYhn2M/a4qRMdJhEV1KQaCE6CVzvuD28FrxET1m1Jt0227ZTX8eAEFWuqjPrR8Ok25S7IJQddILiMYEgo7lMogPIKn6S+p5T4AuwJBg9gKEHA7rRyAtk2IeARA26V2iNvfem5TvFFBVjE4SPWDRqYjqEZmIsDTRiN0uopVIyEyxmdKTep/6YW1kRIVElt3Wa5sU9YFITnu/1m8aiV17SEbMqAhh4wHg3r0KkGiIfjLiMUR0Z8SoiEPgJkeUW4vfnfXobuNDIB0TjIrmgWQEFXD3BKI4iKIYxCAiMIy6dmchVgKUctQ+bJsB8gvJZ3vTqGv2pzk33d+IFSFs0wUNJLcBCvwsxw5Q+UmbyzEKthcpSdqyABGbyqF/HtRvRuo6YfFEEZPGQ0usa1saIBpdOzU+Hrbckbar3Z7rOU1kTDVMiEhuByjtBbQ3oAejrk2BoZkntQ1WD4LeAHRTnFAAGCuGysEAtUGcoTvH3tNQafWwnxv/eOo8xDPKmK9W3X1m/iFtS5XjaI/oAvlNjCEp1p1e0ynredJLU03Qpa9zR+Yb+/YuneKEUKL3FLHfgGaosQXnJQYlGWC8NLRPIoGRqiC5wR/rIb9ThDglIoyIN2pGkJYaJ/bD9xZ8plZHHzq3VHOeX5nTxRvnDM5lFzfLk+PFssLPatls+Dt9JufsUcB5QZzH2WoMG2SgN+2BXk7Bn9kvK0Kl+Z1zuEbv3wJLgqg7g5YLKfFsVyaliB5K6QKoYauO9ZHY92OKHiIKSekuP6adZft6iFwAeUfaPstOun0kesT2a1CzbL8G5Q9UCC7p9zj36nmuR1lGoohZByblAbPIoD3zm0XPitCYgbsrXxP2nO/VgvF/QQwdjyg3ppVhJfdWmJtDD4kYiltnGWYRxhOzbwrpxGYfhnUu90etFTeLjJRHFoDPbyGFDSnUnG9zQEkbVjTRfTGiJNUT4/dgKqsURf8WdfAmc2WIPSrTTPC9U7PaOSgIGWDNPqrjPJk3SOmVXWdKHR276z0dJC63x4g3IgQNxRibwtNddWhTNCSJQWmtp87sPz5/w+T4B47/xeT4kc6+yXGEshMRGaJ+TyK/xXlcsz+jg2dtqANvRJcuIIfErQVFBT7aXnGep7jLfzn9gslxZUHvfaykg/dGSlGYX9vU1AREMu7PV8Rlm20dDL9z7qHJ8QBt+LIoArHSHS8MZjL6PTL4TjuA7W9V9d7TJb1+Lq9I0WodiFAgUvsQqE1ij9NlP6BwEkVFOU+gn6UXx2XoQqgt9yRET1eB0AMTy7RxtIcB0j3JPBCA8Jukd7F3BIU4BXYXx5TRDNDIZPARPRwKyQxaXANj/EN6ApOajddMc0H8zNNNPWMHYr1el8cee2zy7zNnzsiXvvQlmZubk0OHDsmP/uiPys/+7M/KyZMn5ejRo/Lud79bVldX5U1vepOIiNxwww3y2te+Vn7wB39QPvzhD0uv15N3vOMdcs899zxjtcpEJyGJIGHy/zEfWXuJ14Jucp7UGr1mgDxE7SVA18PfcvFB+DadbXRgGKow1KuoUhrE7Kt7gIoP4EiiQ4U5MIzDD8YcONFkzDw6nCwJ3TdOQDhoksj1w2cyH0bmEqi8eXe5Ogt4cTglzABARyscnX3A/rOXx4Mz/CMy4CIFuRKMAwid2DhCTT47Pd/ar++Ruaz10Wu6O/cQZegXAYmmqlu4USQtlTmIuOnpgYaXBqyaAxnPdzd0QE5MczFAaoS78fVq7nxgXODkp7CQyIe5GCj3jM+eO6P3ax2AoxL06wwcoXRkmefj9uwfzCnD9sx8NIPS0H09xs/8lfH1nXkM0rgHxxkuPNNVOqPxrTFpxKleGpVp4tyHvCeuMQtavF/PAccfxExyXEAjT5jZvHFRfEm9CMMid3tqDFqkKshPEn2nGPX4q8GupjlNRCS7K5LMiLTh4EoziFTigmn8f26YqRDcBQAkv43ASgtjN8Yn3oc54eg0ZECLDrl+jMorWCsmt0t3eu9CxeQBrfJaPa7tx8YoJi8hVZBZFuZPa4K2WIOS8QDpDvh+s49q5TT2YUwLnbtxDgU6o+r7US7UtVHrTbnPG5pzh2OCOyiTuaBlZJoXgTo96ywXikvSgcn1yexj+o/GMjbtcGjntvU5nRlyUPUwncKmFeWdQk7DTg8OBTQK0pZvmlfK1BCD1/lQHrnS1AbMb8OcYhx/O7OY10HrZ2CZG+IsaMC1gwgSrqp3zgR/i+750QSUHH2b/ZDGdQudhvx+Jnc02wbWIT1lm8nil7XB7x7BN0DfZnm605x79TzzCEZU4bbutZ3q3yJPcfrgmiyCxuw3ps+ZXMi4D+ojrwKq0sDQXLrodgxzfRDVa+Q/uNpVmK+meS1V6kqikDDrChOkBDXXACx67vVqArm/SXnuldGYkM6B6X1I+TPx7HA/1WcQOG5tGZNnmLnZuF62jkjMw0Uou+4gBxrn7TV2CjwL/bBDB0FYhC7yKxLAQicnqcTmvbkGxzUJrOPSKHsPVHATEJimIwRraeQuzSFAU+tpHZSz48HzS5UDk3MvLj4+Od4Ygrac1CjMH+3cNjk+BAru43WN2ty0oHPHOdCQ/3LzyOT46JT+9lKrPDn+XxdPTI5fd0idbbQMBo7dUfihUC8rSCr7ler+yfGdhTOTYyomv/H4VybHVeRtWUIehk0oKbNcDSzM5lJaT1MJ5Hhc1hyPM0ldVFG5+mVTp/WacGJLoEE+0lCn5XxO7zHCOjaTdKsn75vT+tht6fvlkIakj/1Ou6H9vzSt79EkLRn9tVjSSSOT7ofvhr34PvhSGGDlnhbjhsCZmD2nZemsIKcofEHdtHtxaFKHLbWc1wwq2tGNYzEqWz7GicTxh4+v4z0AHPqb2DN2IN5///3yqle9avLvKN/F933f98lHPvIR+fEf/3FpNBryQz/0Q1KpVOTlL3+5/PEf/7HkctooPvaxj8k73vEO+c7v/E5JJBLy5je/WT74wQ/+rV7Emzdv3rx5e6bm5zRv3rx58/Z3yfy85s2bN2/eni17xg7Eu+++W0ajeDRJEATyvve9T973vvfFXjM3Nycf//jHn+mj99ggP5RRfmiTwyNiRGENImAaGtCQNKLxNELLByE9bIik57GQUHiaCRsnQo9UWkHghhRp3pNGtVUBDXdoEj8jonNYzyfDKJ+hS4H6ZpLTGzEYPU/k18yj+tAKUFV8P0ZwiUZkPZUe12bYOMXM3agDIv0AzY3QWYZ6jOM+EVOMLJA6AKp0ARFqGqOi5vvRy08lOaA2mwdwngpHYTmpdkhaekDlXIi+MCqToSol0Bn1IqDRHfKFQBfc1MhGoazRj2rDPSxkIBiTh3JaL4SWN1tIVA0aQ3sF74/IjZCGF8PNGqEOjLqboafgmEhVRGgDUFtIX6dYyISaFEOF6jPSQ2Qi2j5Rh1bciXRiln3kPG9QGYaCxf6PqBnbZ2/cVwy0H49PIBn5cAFlJAUeiACOo0ToMmG4EVoCXzEVKioO225U6dVgV9OcJhKifTJPVeN1X0uEXGRZImM45mGsp0AJ1YCJKOJ8wH5A1FrxihZy+wYoCwLJ1AIicoT7R6gmUoxZlqlz+tDNm4GC5XCG95t/UAu8eRPzkejhEO+R30Tfz3PO0GtG+Aa1g3pPl1osxW1YrjpUqDlPC9OtOKiSIio0IyIyQDoFfiejtI1xtHsALwsEcm4L5SFlfbT3+Qf+yxOT44vfc2xyzLGV81evBMQ/lMOJqK5uamM+ckhzrO209KZJjIv7pxSd8OSOovuoFtkEz7edHx/XO/jwpOVwDsKc3ZvBGgPLkBHGP5NOAnVgUJt4beS7N2M6BTx4nqiidC1kjKTc6zy2QfbP9oIb1U7K6ADJ6SlEtHEb0gG5s5CYtk1kYhx6OSon35moTlK0DdoSbaAA0V/S6sFoNLRsIj+JUmZ5yc5hqhIiqTNU1E6zEq5+u5rmtSAYSRCMjIAAk/wnuZYhWWJKG1Xiin4Y9sku2EwBUIqpLNBLoBMm5thZoPgars1N6iTMrzmT1krPD7DH4N5jhIVswDQ+oA0acTmu/9C3W/vAfCFScz5mrzTY206hASKNFZSFa0R+A9Rj4ayWsVVAPQJVmeTYQoYLxRSxrxhind7G/uSGeaUH789VRETkCNbdpCSTbkyBklpPv+nClA46VaAbmZmTiD6iDrc7OqiTKjwEejKiWYuIzGCgyWLRHonArANWukxZexjVmSkeQ6GVDSANN3tTzuuJNOTxo01FCc4hdwaVrj+zq/Tuu6YUwVwEBbsdTg6kWe/LKWXk7EAH41pb630erLOdltYvkXi727oAKwBd2GrofbKPQazkdogiUaRT3ON1rZELr8VJtFmqqpMNZ5imFbAsMf4YZD33q1ikZa+gP01hsqFx2GY5sY6b7KkospTkMfZtTF1mRGew5gmFkwJxbCpi7JqWxky0EpKQRKzDKAW6LWnL9SPcONARqPcm3DrKOxGABs0JbITNs6EYJkGF4oacEH36REBtNrk8SHGnY498eChBZ0D34MI2WnzSIZACfZi0XjpcSP+mcmRbkd8m5x/rJrODBTcg8klM6M1VVALzxsVM5IMEKXfj8pDmSUqDqTuq2VLNDJNvc9XtHExvgc6zn7sCPTQ5JOFcYc65HvIupDfGg3BnGbkK8Mzyl/WZuy/QyWEIyH85R466Wj4NtStIpXYHaGNQoCStLAPKc5xjr95CzrtwQDKLEajqDTHoJaq6WKATuXdBJw2qRJlBmJt25qekQjY/H9oSxwi2laEDWj5CO02dZeImODoQeOhAKZA5So2aIBzA3GFyAGd+Q05EzMnYzbMNYzJBPUW5N6gaOFxA+8mxTlGPmCxX/0wvufIyN/WOfVVS7j43Uei+tvZez6sNkyLBU2Zmzk3G6RN2W+P0AvU3GUOhJIXZqBRz40//D74pN+ftWXe+lMyu9n8qKNOhEtEMM3V9OdKvRwnkqEE+SL5HAtT9zZv1+mwFcxzyDpLaTEownSVg8Egax6SUO/M9oo1TJZnKtoUNjD0xziAed0jzjnHcUAG4cwgUW1BruM5h/j2+R9RWqKB79vvUaUiHiw1q4BjFJRWUz8nMaCPg/FIA1530JubFiuhHIiKP1xfEZREtuo38xHTGj5ibDOPmEGu3NNYHIzPu633o7DObf1LNkd9w7kH9xyit99+8VW9Ep2tUBVm0feYBpnO5ueTOiZmBs7iD6mLbNxRMtCs63gx1MuO+hn3bpD8Ior+76WU080zUe/2Q+5qYlMrmeOq8VkhrUV+WAYQWcsxmMX6y3UbvHTk/B9f07um5tX47LYkgbVKmDJPIC88lHAOWoCoPlthocXMEmam2PFzETUFnpoJqdw4pdXbHH5R7uCGcdG1EfAZIScW9jxCY0OAAr4cJPD+4DEfIoq7RBlOUgUcutTWmh4lr8GEdNwHMOIQBEJf2e5hvy8yDjlQfh0E7Rf2afOOos6U/1eduvkZ/m0PZ28fU6dN7AtFRMOOH4QYsDcfYRl+dcJ/b0bnp/1x8YHI8m8GgCztYrEyOH65ofjPm8btl6sLk+DPt6ybHLQx6BURWqV6cRKP8Uk0HrDunnhQRkf/nwo2TcwtHdTK90lAnYGWAhRyMjkUe04E5l3E7BOlYnMIgfaahE8Klhtbr61eVzpzEPFzDhPdIbeyIPFnSAGAKkbC1ln7THObsyxUtL/ec3T4T9Opxs6b9g8CHzjx8LqD4xskCN+B8jD7TkDR97idxnLii9x4uMaLODRr6fMxGJ8hrHXSxZk7EqD/nQLnu8JYY69KXx22SaRtGaD5D/DDN3KW8H9MyRH2YIJVvYE8/W6I3b968efPmzZs3b968efPmzZs3b96+5eyajqEluoEkEoFxgxK5R2RZG9FX0kgpbkLEEmGhEQKP0cgEhAKYLJNUUyaqbu0HMhLUZkbv2wv0ZOt50hwzm/rJMkBBtyH8QBEIRponkekYyhOd54TK9yFAUbiM86CSTJ8GbfoY6AVlRJ1JR2Uw0VBSeA0QVHl+D8D4Q2QFEV5GDRCUI7YHojBJwTLiLkTgAGGVpEow4MACWhAReGlEHAeER6/s9fSTTl25Te+RhUDK0ozCIIjgINKwCdTGLNSuzmwqbJTIimxRI1a7OD8DsRTSB4YOePgAyMjKlkag0oimjoBKIY1qiDZA6lIAFe/RFOEyaLe8HghdiuYQOdKZ1WOqSRP5GFkPFGfS4HpAC7LNmtQGTBheQrtClLrwmL4fURtEcxB52ZtC9IpUVdRThKQhbXmEqB6h+4zw8/2JOiSSksnpezOsX9IYUTcRXbztjsx522tB+F9seyDaKapqjlVUDkcwntQ/3qR0CTTk60FDflTPV49gvuOqAc8lco+oKiP+gWsyjXHDJsqOarbm3jhPdV8i4omMJMU3W2V75DUoC9B1FDQnyquLvlc6p3Wze2xcN6RfE32Xg3jNIIYGSUpnAu9KpViiKgNQrolkZMqHDhTWmQIkCdQzv03EViClNg6l+XRQa6wPshiYmLyc1Q/ySFWRGH0g5fPg5E/lQD+MsfPVsoiINKugRMetJZBqhIg3jq0GeUl0NdHuXGeRkow+t3tS6SDZXawDcA1T17TCqXoKAh/Nsl7bL7qp6NkdvCu+GZUgzXkg7kZxfZuiEWjCRAYTxcexK6obInG5lmZbMr/Dei2Fb9Cd5ZpVr6FACr/T9g2Yp3Afm+5Iz089CsRVB/1/enxRRHF++jgNb0E1JUEvJQIhOpPMH2tqs04vYn8GmuOIoh0ULyRjBTRDI6hCa+/F0HCdaSi42AcZlCKF8FD2NBhl7D+dAp65AFEEjN3JPNeiQG1mQAHn+m64d95MzmDdDaRjahnCLdi/pIEONUKGoCezfllG7kPWvwPj/gaEYbAXzOS1DJ2yPutiQxFqEbpvMaud9nRDkYPNvtYFUXmrULeiQMoCJvkXLei8QyGvHDamKbS3ra5OxLdMX5wcf3778OQ4jYH/YlPf49YwrQdFv84h38LGru6V1oCwPJFVOvdaT+93CWpUxZTOh0Qanmmqw2Mai8eHq1p/0xn9bS7lFtP46MW7Jsf/174vTI5fPHtGRER2QXF8oKJiMK2ufptGR/thEUJpRDeSxk62X3cJa54lzP3rSGdA+jH2wEPsLwfol5M9NsaEgH0Fbb+H/pkErX+IsSWYwn2weBwZSLweGgYYykXUYXtX+2sSAqPc6/b2hWXmEEbUM4VcgTQ2CEOOnWFZhjHsAJd5BKI3b968efPmzZs3b968efPmzZs3b95i7ZpGIAaj8X8APhmBBEYkGSGuHkfEiPnTmEQWvPZhKPbABNrMo2aEBYA260BcgahDkxuNwiIU4UB+MyJOmFOHkW4iHykAQ490hIjsIeUEEZvMtUZUAVFVzH9DlCQj7cw9SfQiEYWlC8yliPwDeFeTl6rhFhRJhejBOGSAFXRhnjYgNpErJRJ9ELHoVEZImauAUbsBksUKcuF1WkDRMZlyWJ6AKEYiCpGLkCjGIjLu55KIluO3j5xdmRwvHtHI2/7Zirjs4k55cpxEFGUmp7CeXEqf9fA5vf/s3LhRVqvuBGrFghs1wpwagzbzvGgjYwTI5JQBos8I6OAbE23U2ucWwTGo4xBhSESEEWJCBCp9ScvSRT4O5g4l2qEPRNIoJmG4M6+aWLRjCrlOTVL+ih63wyDjEMmn2feym2jjHH8G7v7RR1seEPlkck9ibEQe2vyV8bMG3xg45C20ZGccGIzLU2aEU8JPQ4EC5jfMbyBp9XVAuyI3bn2/W+Cmvqrnlz+v48DaC7XfEu1NNFJhXZ9bX9XnzjyhDaF6NGPeQUQkSbRiG7lFgbZKDIj9wfyFvIMdCsYg72Gmhrac42TDMhDBj/EY/bm5hHw1IcKwuYQ+BrQgBWuIkjS5qDB05ikAEYM85X0Mgo2Rdoyp7M9sPy7BqAHaBudjolnNPYbu820kmyeij9Hwnba+OFGH3aa2mdWyIkqu7CpCYz6ncEfmSdw+Vx6/z6y2tVFK75fZARob798vuJkbRKexnWR39Jh1UFjTf1ROunPu1Vf12/BbFi9j/XjjuJxE9rGfG7ExfDMjbIJ7E2nYLetxH+vBAZkZWA8SWVoAoja3qRXV2MeK2lvOHsrI3KJGWMiIAeoxtAIMcpDjYlM1FSSnmgdmjmV/auoSxsyfLM+QaLHwPSJg0og5mb19XRsWByL5gaQIWcGaOn8eOdGRc48MkRHRcnNAkJ3VhkUhys4R7f/pC0DC7eeabm8OVKKABxiHjAAiNp0jrLOyl/R6irsM+FvkJpQC3hX37LW4NSeiGGMU80kSERWuU41+zgrqC+u8DAQZE0A39ZH7LbtfB/4M8tbVkZ8unXWjNhP7dHzoVrWMSaL+Luu7Zk/ofcoZJkQd27GCduyNlA5cFUxaTQzYRBfWMTB2AdneB8Tikx1NEJxB4tyvbaj4yF2zj+tvCzqofrmuCLzvXtacjHMhfHo5p4N3BwlU33r95yfHOST7JxqyB2h4HnDWv1jXPJB3LT05Ob7U1HnywJxOVNsQLilntE2cnFZnyVdrmojy9ctfnRxPJTB4hsX5T4++eHLqRavnJ8dbTUVszhSQfw/CmTs19Fu0q94xbW9ZrFsKOX1vToM8T32AxIPaPju36kQ4aI/bR0DtCuzpiawd1km70MNgGqhA9Cf6A3pYf5l8i2R9YqzpY3xLrWOtPouxA+NVujguQ7dGNT6wbfAefVzDcSPA+BYVZdR6+m7Ba9qBGBkdclxkN/e5SQZcNHLBTRreKEWaz/g8RQ6yW5ioQBkmppODfaYCByI200y6yaS4FB+hMi8XQ80DcFwYMQR34vWIxsn6AjLaCEAY5dU+r9/rvBN5ShJ/PpOqtKA2dvDcuI0yjWq5dFB2Fscfk8rTpEsxeXo/RgWaidQHpNngnkPAiJlg2KgbYSGRIHp5Uyeu1LIOZL1IJRKO4+QWYPlpTIQoV6un16Swc+Emav8+nTTo+Gtj4qLzcXFad8ekIyzldTBP4FnH9m/g/Ph6TtZUZCZllosaigAV53Sx0MpqfRk1cir9spHBIZfdRntDezaLPzrbsUCN7hmgkKS7sbztozGcLpSlg8EggcBG6QLKSJEjqnqirdJhzoAD4eep83BqRyJKoOdRhKg3jfcnU+WSXs8kxQwyGPg71+EYD5t4p3ZIQRi23WOxt702TIkEaUt97aH/06EROQvpGEvX4YSYhYAJnAlx6qkJBoKwXty8Je+8voPFDYNb2zfoGEURiEQfwZrw/nSwDei4wRxMAQaj7ksaTNk9x1LBOgM6c/k0xsV5Cm6QQoxFXYvnEQAL64BzF4VpGGiLU1ePU7zN7bi9FMZxAlVNexGO6aws7LlyXIaoPAzIos3wmYGb8SSdsh5Pn9MCVEHd7oB+eAlJ1bmYzhWZnwHlwXy72dJFBylYhZXxXNaFiMqQqSU4p7CuMYaR3j7/IN4DIjWmPvBdKyfQZrAHbs3HLG6MI5nr0b2Xxq2PGBRmW6JjLI5zm9c8+NJadDvVMxR3AV1y8xbQ0y6jL8462j/bFVXd+U4j9/kZFQOX9hyuwfxFURsK/JVP601rB920svwW1lH73duiKHg++b/zKm8uC/qBBP1ABkilQkGA9pI7CEuxAqYbGGE9PtynjakLkQ+mbenNY9PMdC+gSKdCZx7pviZIOgdxwW1u2kFzP4RrdrHW3tB3bR6Cs43pkDguYRNPMEviqE6yfQATEqBgpkIHYu8SVG6x72DapQAOxBxErJp4V55PYu8zgqpyblrv3024B5rCnF7Th2gGxTuX8roPOZwfKyI/3lCn3hRQAb00nD7ozAsYOOtAtlBtuZxGfWDCpYL05aZGLb7j4OnJ8WJK788Aw7607rnKyOfSHI4XWzfmlfpMReMBBsbH2uqojDNSpZcKWl8l1M2dc+rMWwCS4WXLT06OO3CiziM6eHNRy/kIojIr0+pobYTvdHROVavp2Dw6o+e7iMg8tKbvt29O79dD8LAJ+jPTcvVwn2LRLcTWxT6veVTbdhrrhon4D/owU5z04ZtIFrHQwT7ecHfhTKQjdIT0OkNQrgezcNojhdQI6CwKRiVB6Q6wfx8eDn0fALYwyDJAoIJipCMKJzG1Q+QI9RRmb968efPmzZs3b968efPmzZs3b968fTPsmkYgBp1AEkFg0GlEFDGST4oJ6TxJJLo1dB4ghqL7EAnUWXQ/h1FbikF0Z9xRmdI5IBlAgWJS7BTpuwh8kWphBF767ihrhMbL7oJeBRoH64ioCUMxQWLZgJSjWfyYFAAUxdCY+M1IMQGqkWgrnuezIiThqA+UFqhI0nRTPhMUvui5EQmZbaJMxGmduhs+zChfYr7jPh9CiRNoswMk6i/MahSriETyjMRcqWuUjEi/DFCHXXwnCp0w0S+FVrYBIWvnEPFAQ98BFD5KNkwK9fw04EiwTl/vR2ozqd2EgXcbbs586rKe7yOJbXsfortVNlw1Q1vGPYOwrRCJzHZKdKrRkIlBdhBhxPGEwghEizAtAkM7TLNAkZ1RAf0ggb44Nz4/KiHqjoTlZrxC22tT/IQRfkSLDYwfiIDOAul/QFueHR8Puk8/qvWtbunGSJK9kRkXOR4X1hFNzYT1iurNX1BaTXNF4TopgwLVHxTXtJ0UNvR8YwUofCJYgXYqrLvpvh2gAdNNtLEFRFnDQ1JwExSDwDw19YSOJzs3aAGY/oLzCxGZnA8phlU9GkNPQQfh3EcEokmTEb4HUVU5UJiHQNHEof+IVCN6K0lRODyTqURoBlENehytzzUKMvFHKGLSZDlnFtb1H1s3Ax3KtCpoh90pTv64Bu+UxHrCzIOgOl3YKk+OS0Wt5FNlhc41+xrhb3THx1cqTKmBQ0Nb1mMi3liPlZP4BqhSk84lhsZd2ABteR8QljHiIxRAimjwFOQxqWWMGJ4ekvkyzLjbHtsqUfD8lkM8q4syUKCIqD8jooI5rvjoMCyXWyxpBLpGLAMFzxnG1Dsp2iYFCMpO6vQA15AF0wVdmvUUIbijb9rvxUz83vZaMP4vhfQ0/SVQD7EuTmLNPsRabYD1TOq0NrDhUaDJmNoGqCOyhpK7EGAA+m0i6lfmusm9hjRCTLg3y0sgXgfCP2ZvBYqkWdvhXfPT2D9gbkqQgomN1iBEGAXYd/RAYczNKnqrDaYQ9xgliCfu7mhdT80Akg7mFKmpPSC/B2BxlefBZqIYxH7tlH1MuM1wgKVg4+Wu7ln2I4fEJhYlRNw9UlfE23UlFSWh4MgCEIWkP+9b3XWen0poHSSAIKUoyBpgbA/UD4mIyM3FC5NzXSzuaqAe8V3P9xRGvZzWsmxjcD1Z0jlwgMGTKEzWTRasMyIys5i0uI+71Nb3OJtTYZaoDKem9fmXWuXJcR9lqXa1v03ltV1xL0qhlWzM3rUDZCKZCFxDENmaLmv77wONnJsZl2HI9Qmt7+7zfey3iExkW+5ADCbJNHhgdCZ30D8wXhXO6fkW0LUmLQOF8UIENxGYRoAU75EoYKzFYmzqq/ptaifCsjyDae2adiAm+uOJnxv+zjLooBj845SXh9i097lAx/nJYpLKW1SIq8FBk+fqXI2KzJ0FxwZQxDjezOaRjj06wVAG0nYHaOikH0ZrbOYm4mzGRs5cayPkMTTvSlVPlJ2wf1KF86BINg6Rfq23oaqmOQ+nIB0qqdBJxO9rFNLwPUinJkU0RWdiTK4x0hHoDOovgzpQdC+ISH0d7JA7GNI7sdFLQL2ZE/pSUSfFBqjKbXRhUpI5UTyypspb3S1QEUF7mM5hwbChK+hHe3r/Q8ylsamTUrQwaGHwnJ7R+zW67t0uJxBuGDmBZTDwdWtad8ytaXDUaIdGBZlK6cgRanJehup0HdAWmZunK+52YpTpYvIbsrzMvcZ0AoaOhTyCXFiaxScXqHN7xyvm+BhScQzUITrSh6CtMGdHkOZCFXUDRXbm1GIu1YgBMWAuN29f38LNlnF0cKwd7W1jpDjnlrVv0pFWOqOLyo0X6cKwcgxjCGjTcRRYOtXoNGBqieIaFkzMTQjl7uh8HKW0tYjxOqfvREVLE2hjnjbkYBymkRYCzgTjNKTSOZwfGTglmJ/R0ETDtT2dO0YdGg5UPt/kP2VGBI4DuCeNdUD16wD5pwQUM87nVvH56zs32Qaby6CMwbHCMpYf14ps4vsZyjM2we2mFmZ6Rl+k0+EmFJvKpF5PpyE3LJMFtXuZY9oJFX1ZLpMWB8b7dBFUHPIboM5IZR/F9BvTz0l7Su/9XVzuSZaL+QL5bdhX4pSz4/I9GuV1rpGY23bkPh/142TMtdldfRDzlfIa+A1MGV0OPhERwXzDgBlzkzaWsWbmnIy+xSDG5NZlHxR7pjYKxv+ZnNb4u1mrwKmX3NSBlg7E7iF8eK616fCbw14QOcT7M6D8OXKT5S7qMztLpPjhOQSkVOEExN6DgZIB9gnSdjsoZJYTG8YHdO4eczJiXzGCI3JQDOuJYAXk1B9OIycwchdW6joBDLBGZDoJOgoTW9oRO6BR9lGW3Bw7pRpTGZEiXenqQqfeGy8euR+odHT/Mou0R3+xobkAv21R8x0wZ2Ibk/YW8pqw788l1cl5IKM03I2+DqpX+uXJ8X7Qlq8gH9hfh05DEZGV7HgRURvqu/3Rxi16j0JlclzCgFZHPpkMIldbWKDcWLg0OSbdmPTkCiJE02kdGC9A8XougwAtFgKLWV0z0nn75Z1xnsQXzZ+bnOMcvI3cxmcuKgWd4BDSfdsAinQAXuhhHcAggHGaxRBpmd+TOT174X5mquTelHTgAG9V9RsEMembmHqFZexf1Ho0eBPkI808qeVqnuIiUA8HbWgoMN9/OLFRmZkq8AE1NRjLxX6upa4BJxjrG5mnMHvz5s2bN2/evHnz5s2bN2/evHnz5i3WrmkEYrI7zrHbAvqGaB2jKgxEoYHIA3VHyiwVTCP3cZJJfOGNnv+qHm/c6Y5ikwoZF8VOAkVYUse+1I4gAgVhiDRUoY06F0VEgMybCBpQIAV/JxrTqBejvKSJMNJtaOFANQ0AL24vuu9JdASRhgadFbi94tE1jD6TBkT6GNsA6ei8tUmEj2Td2S39Q+sgoqhIVNo3nHnUMWgbVA9OhmjOYQzVjFRlRt42axqB6iKR8tycohRJdSjkQU04qBGuWkOjKwYliIjGVF6vJ8LRCKBkxvdnVJEqY1sVcB6fRuSGUSqeJ6W7mQIkC1EZRqz5jYmWa6pYmqUNh5ZokpqP8SGmzZC6LmiHpLsNgQom9Z+R7CQQXGzDRLwa9XeoUhOFHYSoXCPgimiUpXDjohrEeZA2gahqjlFEPZJqyTJmN8fnDVLF29e30fg/CnUYkY0YAYvI6qval4nE27pdlSFI3+OYR3oi0U4c2ojEI5KJYikse3cKSZuJZAzR90QUZSv4u1uI0lBjjQAMyrtzCkgNIg0xracbQDoDqdmeA0oSNMUIeSRikUlRnRkVdaLNQLNmd+P1nL9IbzUpDtKcX/Rw+jzm2DswzgBVPgSlPHEOCptbep9oPp+6oM+vr7pRVqOYlWPtIEVn9DzFzCh01cXHb+ehbEg0IFCVpCI9sq3IBtKYItGwFO4XMOUF6LBE2eVQF4F7SjbvTdrr7MNQXj7lRipRxZr9j4i3BKL/2VDwp1sCEjeGcs2ycC6gEEsHa82Az6SIHSn7QCay7EToltbYb4iO2FtOM9cx3cEM17F6jYWoidNGMddw7DBUUiBCOY5ld7WNZVB/Daqth4JGEwTiM6B6fatbsp6URD8pwSrUULdBJQaLI6DAIQGCTGEDxNsQqLjBFIQTzusasbcPDZ6I1LKOkZ3quDzcBxKhPQIbZwQWC4U4gzIYSVAXHhBlz2ODHsK4gb2mlJDqZ0jMD5hm0/rcbDjutS/ouptsnAGfQ/o1GXD4NokDeu9OG8KOoHoLkJys0945LcMQVGUiHCkks5nSwSWiBFPYJNpriIhsINfAwVJlcky15R4aEJWXKaKyhY0sqc05LLQug2JDejDVn3dxfF1B6dIXw00+xU+4PzuYU6QjEZBJDJhEQFLw5C8qJybH+/NKc/7C9sHJMQVVtjl4wyo9IOGA7F/J6T1Jc37p/JMiYuuXqMMGaMsrS6BfQ3mZ6smtul7f3tF+myfd/goQshBd6oImHzyp1zRW9P7JJVCnQzXwFlDJtA7TZsWghUdYiyUMMxXrrCXtt0mgLbln72I/TvHbVFHrOgOF9f4iJ7OwbBgXs+tIOYa5lAy49BJSPtDPE/qCjODoN7Br2oHYXhlKIje09FV8e6omcxOeMBswbHSgTipcZEaMGC42oaq1cScdU8xL5l7wS8yGhh+zelycRvruEJt5LqTyV9wNoBNuZMxkjXrhRBhHC+1BnZBOQ1NG3gbORDoryeunU5RwXH4/Q/PHPbsL4wocbcd0dKMoCYcuKKKjwF1fpF8z75eh3NH5R3g/FzjMYcccKZ29EGQqJ3XzzP+AwROD1BTUzxotKD1ltZHvrOnks3pAJ6shchDW8dskys4cFFttLQOprBEVmTkqaKzePtTl6AAbFN0LQra93BS8BcjpJ/jtAAOlGQj5zdCW6OyOaKDpKpxky6Sw6KFp5ExnACcg1eX4jQ01LMO2r+epwm7yXoHqw3QCtHaYIiGzhfazjwteXEzHEN6Djpn+CuigoPKnq24AOxer0XjhKcxP30bJQEbJwDq7sJmfPqMLo+qRcMKLcbA1l5CThfMeMwDEyIkaBzj89cx7SAdTnwr2dErEUEkn602WHeNs6ZK7bwTYuVO1ltekYiiMNOZ1y2+B7oFNWgcOVTo6+7m9N6XCM+uUdWTyC6J+S1f0H9vXxSzLYijX/QI3hPjDWeSphXpnD8GMLhyL0bfZvh7fkW2QwUN8JzqaTGqHmNdg25h+XH9Qh7NmsIVBD+M766CJ/F1zU1qIyNEwN63ndkQ3TnRKGFV5rgXhbJs+g/mZwUlMd9s3kpovuF7chnqiM7oBRe2obdNpyfsxzyCd0Tll7QlYbZLS+KLth5raSqae1GN+Pz6L5aHT0OTKdrTV/IZ+x/p+BBXwu2RMoIlrROPUQT32HWt2Efse7H90xtYOUOlyb9lFROoHwodFz/T8radtg+m+jPJ9SQ7c6zBDscVCazCNYDLU24M8cl1jkGLOPe6nMhd0rOiWkTMNjq9oPcrNtsk/zXVeBalvoJhqUsxgvsic13+kblaHSmNLG2H2Isq4qnM80zzQsVi4gKD4zXtVaROLUPpF4CWAmmywX+eFOeQt38GLMJUSLYfxlXnrLq+VJ8fTxyv6HkhxRPDAdEn3MLs17cSr8+N6msnouxVSoLei8395Qwe67z78VT2/q2iBF88+OTmmM+9JSLavd3WDm8u6I7VUYf7wmVdMjv/p0c9OjkmXXgonTjrbyhl95yYW+DNJPX+mjQAZFmx05L14Rt+J93/lIpxEmNf++/nrJ8eHZiqT4yociNeXrkyO6aQllTxygE5jocW/97GGopLyFNST29gvEjTSwwRjlMlL7qjeALT+zHFMcug3XARGY0e/515vjLAnM6s8UoKxbsignbQ2sUdGnkTmbDRGEA0ckX34AQaH9Llp3LMfOt6NCjXBLPTnZN1j3mgeY1dt/MzAqzB78+bNmzdv3rx58+bNmzdv3rx58+btm2HXNAJxmBCRpEiK6EJEMEeM/jJJOqOZQPEZ5eUUaYYhZQGw9SapPfBGZzfg3SU1bAEUwhgKNSnJvWk3kioJ1BEjYvSat/bHqP+Ez2VyXyLx0lSkJkqKSbyZSJ40IyCvTBQu7UaRUO2PaAYjUAI6c4JISSJawvMDgygUXKCHOdCQOxrcMb9NkAIPhBW/n+B7BBR3QRmHUMVNMCpaBk0rQlAwWo+2REUnJk/NgprFKM78lFYqRVREhchkA3TiBNttWq/vAE5O9GJnFkIyoJW1QmpH56LCFNozbggSBTxIK24BKZEExLsPmkQLqj0BIN6pK26lAVJvTaoAg4rV85N+DgqLQSui3xJBSzXO3vTe/iZi37V+Am0AdGn2YULkDd0efZdiMFTDjMYRvkeyBvoNRn0reIT7UaEMicmNQBHKS5QHr4nGqCERmN6+rvVzIqNsPBqnelgbXETDpXIv6bgdKvrG0H3zm/rd8+t6UXOf9qs61OGJAKRoxvb1oPsBBcW2mXCAGRYf0MLU92lDMpRIDL9UQza04RgFZ6IUiToimqtyXH9M4RQyflh/nOOiZ1mxM0SogWim+izp4tungMxmoD0mcE20laHAMrH+EUWIkDYj6LcuZBffI7shuBbP5DoL6wOiU0n55j0780T2E5GEdRypgEDEp4BmoOIiVRwPlCsiItLCQ0eP6DM3Xsx0EkCbI2XJEGMYUYFUJk4C5WrmEYLWcT2/K38bQA1rlGJbCc/h3kS51pjiAN+ggRQdfA7hAl20a0Nj51qMOd2pbZJ0nzcCLGShhM2QqEO+B0UMctv6bSaIv6eYFRJ0lyW7676+jW+ci3lvUu+5lozOR6CcOMVob3stSA8lSA9lWNVGQnSfUCiuy8aGQ45bl3QgTy7rB8uf1g7XOq4NmAg80oZTT+hA2tk37mhEAhml4wRSCSy41zMDMGwGC6AhbpLOjHUhKJo9rGkFtEXh2g111rwFonegWjbr48acxBjK/UMK9UU2Ey0LcRUi2NKgYpJim8a4XJ7TfQiFFZlKaQCBix7G8cOLypCazownmX2g5s4C7r4GtOBd+56cHM9hc/nt86fFZUQarmDCJ+JukNW6eaCig+qpnCL0/tnR/+W8fwGOiM2QfkzU4xTETJ5sKgLyQrs8Ob59SqnHf1lRkRjaAsRPritcnhyvgyrYQ3v7ttUzk2OWp4VNzIW2bpbKoL58aVvr4OWhUA3FWk5O62LhT0Gt7iX1+y5NKXrz8XP6nMKyIgfZJo24ZgXUX/oAmOKEokg0LNjSIZKQopzCNE1VNxp9NM3+xj6pbZlMM451A4rbEeGHcYmipoaBAeQl3y8dPre7gcUgxi76KagsHVBEiuUN95PDUcyi02F+CvTmzZs3b968efPmzZs3b968efPmzVusXdMIxGQ3kEQiMFHWAvL/NQ7wWj3uzhPdp55Z5vIZZhGxqY+PO/vIL3eXqTPPpEFuPjoRCd1Zot8QgYeLnQhE5Ga1idqBMmOU3Hi7h3vvzTyNJh8bPfxEbyIwlq4zeo/3QHmZ0Js5Dbsz7vqIvQ+vWQBiJkQVMkH4kMgrIMWQ6sIaQRBAcPTKbiQaI6EpJGLtp4HU6sVEUZnMeP+44RI1kilpQ10qa7RmC8IplLynJYB+M6IosAGTHSOnIJM8M5lrEnkK21lEj/F+teE4AsLvxVyObG9JiHMQycB8ep1l5L0B+iRzQRt2F3lnTA7JAmFAvL8eExFlEDgh0s7krkFuTaQnkS7ahhEiAoqPEIUG3imBNjNikl7k2BgRFbuBhNYxiCsC/Hrz44soKGVyMBYQRd6G6AzqdMjIWJvoALQTFD2zi362H/ksw7Y9zMQMmN722CArIlk7vhfXtD10kLdu9oFxxH7zxQqtIeKOSO/pc4j6F4mC1+s3b9XOwZyJnD+by0BiIDcijW2DaLkCkIHR3EP0XZyg1QCIKeYxI9qyueiGnvP5M08CwbHIOtBr4lBNFF0ZAimWXx9X1CQfpVgE5MwTQNO1tG+svwAF43yL5/P90k3kntyPvs3XRv11d3XcyK4ht+4cxhmsUZLhfM71FN+ZczYAFAaBnezgfhgriPAyeY6RJ5aJ+IlI6gDVs3gIsDHYQl4besSMoAjZ1v/BAuO7Y64bkNGBOXkYk/eQbZ9t0rRbrMW4dmst4T7IYUn0W4SWpW4C52miQI1ACvObkjGC70RUe8egKjGHs//H5LA1eQfZhh1iRRS04xjF8g6w7o7rhzxe+CoYCvPI+Yu2uviAFn7zVv1oJodkjDAU59iovqNzw5jcsd722qiTlFEiKYL1UZqCd0AAcQ1Xelw/QOMgxi2KmBDQcwM6UB2dlX1iSj929yDKEzJ7+hV2CIgzndUO1LsegiDIwcY1V3JOx/0uRRXB1CF6kkILJlXktHvtSHRk4jLyGoY/HpX1HinmTmtreXm/jbUZLQtyTDK3ncm3hvzopUAHo8qWDvaLi4oe5HgcxNyTOQ5LqfE9KRpCAZMCFiUJDCKbmGxmMKDuYrAi+m4OyWGbGCTPdXTDeMvMpckxkZdFIA3/x+5Nk+OXTyvycSccaPZndibnjgD+/N93b5gcv2b5ocnxEAPdiaKi+1gHf7V7dHJMEZdsoPVYGSgaMYX3XsrqfR5tqAOBzMJNJKW+bmZ9clwNJ79HazqRnZrSv/Obcs5KIUdzsqx1N8QkN0S/LS7pt28vYe4TNaKLKeTJNjzYRQ7ScC0UHNN5YYT96mgB5WowETAFFcC0qCNHKTpuUMI4A7RjgD0198P9PJPgo28DvThC/tJuyApKALloEN4YI5PIMclxgzaKxC9HT3+vdk07EEfB+L/eDGgdOffChI4CJq7kxNWjyqHLDwBHAamudJKRNsjkugl0CiOKQFoJFvYp0AZZxuYKJigjs6qH+TVQoR2LJFKDqVRNM2rIcGz2ppiAHXVqhFmQnBSKrHQC0ozSGhbxxYt63FrGhENRl4hOQqdenRtDbFjR6en0oYOWC2urDg1aODomVZcCOoagQswyBLw+3CkyoXAaTqRaG6Io2PQkL4HKi+T41RZUlUFD5v0ToPsmpkGfwGKgMA/q2xT5rthgYZLJFcYDWHPBvQGkWtswrffrkQaChWUKA/9wA0p6+3Vgp/o1KehGEQ/l7WMDy35Gp10EkScdnw4Y0h9NknYqWdFBDMVt08awkDJUaA7HmBQSMeM5BVsMbS7v7meToqMNRirJIiLNKbdHknQ+LtaNiBIWABTHicYuUte9fX0L+iJB8ilUczis0nWt9/W7xovc6XM611SPIKk0ckpTDbkNZWCzIX8AG4FTcEDFUYJj6Mlss2ybFFqZrDHZptCk6JgyDknM8UY1FntHzrEUVKkegvP1MTd1ms9NxJSdFMzuzPi3PYwPGQTXor+LiNQPIC0FKZcVpCCBI7R4BRtrOFfoZEzBkVTr6LNSXMCir6avuJU9oiALy0VqfBptiWsPlp0OYDo/jcBO1z1GZoragPLYfHOuWSnqpieDRpbBh/rilXHk2CifckjkHDxwl4tCCv0SxkKsD0xqF6ovoh/Q4dhEkNe0edR3R/fwE0VykxKGz4xJccDnsx8wcMZ1GY31YZTfjYgRf4DDGOZTc3l8kaF50znI3aCZYPQwzplY2w9RLzi785t6fOUluoaIc4QaHT0GHgEqiOoy6geudAze3BYkR+P0PHDI9fcxDwL6ISi7dIzHKR8bVWGmcIhps0OCRpAOKFrLm9+hLXSxz0wyaM1ALSjGDNYbhXDs54ZVd/odBs4JOkjgtwmUoYdxKRGqrMYJNwyTbudrbhqKsLg+AacP6cYLSJlEoYwUFO+bM3C64rflok7WpD/TebU/XxERkbWOOsBIT55Jaud8vK2OrIW02yFIau7xgjrkjGgHnn+moepSx0t6fQMIHToiSa+uId1SKRx0vlxXCvC3z6iD8Y65iyiL1tGjmDDyVvl1YjeWlLbM39Jxeq6lweWjJc0tk8U9LzR04nnZgtKc/3RdqciHS+oAvRiqUtOJvN5BjhPYLL51tYO9K53qdCyCKsw2k4kRtWnCyZeg0Aknzjz6040hcIdUaexxov2siF03DQHkGEHt3QQ+8fwhBZqQqmoIAIfZQyFQKtwDc++EMVDC9zZBRaa4QsBu2OckqzYAFTtSZB/FpDVwmd/VefPmzZs3b968efPmzZs3b968efPmLdaubQRiciSj1MhEdCRwU3vSu4hSMfqKiyiSkr+8l9qcBFS2vUSBBnipixTbcIsumMTT8IybxNM7+qw+aM6ZbaALiaokWxpICEbSS0+Of0vKGpGGFJ0gwpL3oBmxBEL3W+77t5eA9uq5I/a8Z+3o3gTvIhY1lQkR8rs3EhmACJuhxJHaHINSnNYoRy8F0RAIYkiL0BE9TKwjQjEHiq1eYpBokfefUdOWAIJskIlAW5xSWkAO1NB2F5E0IBYFEZohor71mkaDKMySj4n0tADDnltWTnAUJUoimexgQJoE2g+QdUmc79aQcJYRnSk39JrgEkrUj9gOd9nR9JBiIQaWHt6TiEKDtgIF3wguEYURg0Y8/v/TOj37Oq13tkkjXISxJsiyBcHw4CHKFsHrA1CPzUgPRDHRHxRo4jsNgb5l+yUKoD8L2jnqNILom7J4+7pW2BxJMjMy6C+Kb7ho7ESn0SjQ0FpwI1Y5HxF1SEGDdBN9Fd+XVGgjrMFuxXad2nsN0UJdiPcQAWXQTbh3YcON0GuC7pIC9XcAlkH1kBZm6gKQ3wfcYmJE1NF6IbqOiNEEvhcp56S98v1aS+4+WTvkLgvnzOmz+o8tjJ1DsBhkRhvNzGNattIlPV89NC6QpUqjDQKNzUmNdWrGDZxnmyX6LQXUoUEMwKrbFOeqTI5zmKe2O7roWZkez02nz67oTYAA4FxOJoKh+6axXsQ4l+RxDNCbVGEi2Lm+YzoMtmcjUBIeZ3dIC9fj6mEgyVV7QJA/36x/mKKHKHWOBUHMd0qKu32yHc5/TX+8g7QE0XNZLs4GbDNE/7K9s+xmzkJ9tICqZvoFXk9E5vIXdMBq7NMHc5zMVIGMCd81qvdhzLTszWGpoUhqKMkNrPPm9SMFEC4YQWiwjzaT3IZ4GNhMPSCtKWLC9jMCQyoF6rQcBAIxpP8FRAhhnzIichC0RfKNA7BhpMWOoofsk2nQOHtbzImAdSHSLBiALjvOHDdR4/MULanVFH5cKOkzu9gzGKRhT88XMlpHOxBtJFqvgdxWZN4FuD9TMvG3aaDHL1QVCfeC2bGIyByEQnYBoyYluYTFB5F4RAg2+1rGOgaCS4B9X4c8ExROWQO67nxLkYwni0rb3QLdj/eMbBmUYdKN6yjXQShaLYA+crFVnhx/taLz2q2zSq3ehjJWhN4UsSI4pHp/paY53oiCNN8VqbA4xz66NkZ8vuDABT23A2VSGL/vuTVFQ7L9pgv6/fpANfaAkMtOgTEHRB0FIqUAwRH8NukQYuN6IwlmZee80tWmj1cmxxXuS8m0mNdydZA2hvt6WgJlSaC8oyva/4cBnoUxKKAwUij0m70M0VH4WwKgGA1FG32SZUyFIrrD9tMXUbmmHYiJfiCJXmCU6wxVEAug7iKl2+AwgsOK4jNJ0HAjh5yh7MIMbZKOMTiaSJtMcDNNhVrC8uk04KIVmzSq1xlFOJMDhw7S6BwuZao8UmUyrAwckrMPZ2nhMW3EHVBTjXNlwPLCSVPGIm3XDbUldaiLsTlKU0GnUAIUhakzWt7qDRhckFfA5HXDIBHAuZuCunYOx40Sygs6VhKLlP5cjHMlXOyQxiXMd0DaMib3uZKupls9Nx2Nzrlhye0QHO1iMQDnHwfnTpv313qazkJF7OIYaj8FJa0e6NydSzqxjdBmAqzyA+boY15AKgNjQmAOCpPrD9f34eQnbY/Xp+A0i5gPbL9iVCzRZovuMcTkwEC7OvtanRyQwsQ4xhuH3PeJUxU3jhkqGoY/YH4zUmsIp+f9GEChcrjJB8aAB52lGGf4DSInwrDvd1tP1/q5QEaZwIz1vSLHTjpmxvVKZxgdUwVd34pwM4b9BmmyfA6deV2Mc1QPJj24sI6+DRXiBujB5cf0pdZvHy+2rNNJj3lvQ3Mk62NB2ykdfCafMRxZpct4V9BqU02Mu1i8kZ47QOCtsKHX11fDAApz0s24HeZ0bKTg9GF9sV8zgMG+Sscpc+iN0D2TS1qBwTndbFWPYsxZ1QqfeWJ8zxpo3oUrqGw8nznmaAyUGmcxL8fagpvc6o5uUEqLWplLyxowW2/o4n4hpxvLPhZA0QZoGmqg1ZHOQel1bFBATzaOQgSIGGCcfkLPd8p4JS2i1A/qsaHtoiqLUKuuHcRGCg7HiBKfRDs1fY9OSNRvn+ks6JDjp8Q12W398dQ5vWjrJtK79XrDpsNzN29JOa+PUpKxLZngCO7H9AzMuWkozMQLcNqjoxBFpLOW12/cioBvjBOX7xo5DiMB10EMHdrbXotyIPYRyEjuYs7iPqzndpgNEZRvox8EVBituR2RgvVMHyqkGNInG+h+gYMonAxw9o3WdD3H9EakDQ+ZHxTvlMGGP7mgE5VZpZOWyEAQKN2kbnPfMgjXdy2AC/oAERRmdJ1OVWXmLszByUjV6KUZXby2sfcopLXDT83vzUcrYh02GzvqkFssIzcG7HLohDuORUwdEbgLTa2MV849Mjn+CygAX1dSh+BsBpTnhjq7WMYTeFYJ79QGIIL3Od1Q6jRTapze1fu/aOGciGjeQBHrELxlSp13uyZPkhodlV/Z3Dc5zi9oq6GyM5/Fsl8CjZvOxCauOQup+rm8vutuV++ZCNv5mV29diqjbWZrQ7/vGoEOVFVGQCA5i4mPQS/shztwanM/PMJaIUC/RDpN6a9gQgoDjyxLr6HvnzuAvItQEadfhbnj02VMMDPuvCI9jEvUPGDAI7WqdZ18AnlScfse9B+iAFZ3lbk+8FCCiLgv5V5tRispe248bgxiUqO47JsOCxkMBvLud79bjh49Kvl8Xo4fPy7vf//7ZYTkRqPRSN7znvfIvn37JJ/Py6tf/Wo5fdott+7Nmzdv3rw9X+bnNG/evHnz9nfJ/LzmzZs3b97+pvZNRyD+3M/9nHzoQx+Sj370o3LTTTfJ/fffL29/+9tlZmZG3vnOd4qIyM///M/LBz/4QfnoRz8qR48elXe/+93ymte8Rr72ta9JLhcj6+iwQW4oo/zQRI4N4o5wckQ/slf0tdv7gYIC8qkJr270U0bRMxUidPQ8RTUYxe4yoSUiXPQG051LxB0pNxRFITKIdBPSgxld7sxHL6L3oIhKCuIHpEcb8REgpmjtRTfCiPRyIjKJmGK9GlEJJtFHctJURb9fMQze7LycYhj69+r1GhVKb0GJcgGRUCJCKdYItW7Wh0GiNgjPBFIL34+oVCqqjcIILKmjiVm3+3+moAVLIXKURLtuAsFBtBwVmBjxmDmksAlGehndSSNaGxdNzIdR1GYTyYUR/eT3TYCqMkR0yShmJWPU2nagdjXvrqehSQALii1o+EZVGENENswRHOYHHpcXUSwih/l9ueDO7KCvQhXbCDrhPMcIgyhkn6PoU8bdb4hYTG9HqQqAmARK2ygyj9zjD9sP+w1RjURJpxruCH80doxi4PzXgj2Xc5pIiBTPWARXCu0k2Ub7iYSxiHZwdwEjIJAAIrQFNWIKEZCaSoEQCgvQmkuglUCNlxTijVv2on4osEGRiOkLGH9L7n7SB22Z9RWnpDrI6bsWL+mNKicwtpA6ibruAJFZPYwxOwxus+5GGFBJs6QR0UhkGctbXEM9tkgt1veYOo9xBggYJtkfHsTHf0IbC9OvNEKBtqEbdG7qpbCB+bDo/jY9MAVGuCcR0ETA0FZLmiLjkXVFedywrIiSShcUtpQiDCJq8+PnIXWMtR3bGMdIHptxue/uBwO3/oFB9xphH6xnWnPszygPwfchMCdCvIlYpFwOCFYar08RCch5BwJcHDuqR9zfcubMN04VYNbBVOYO34+oQxpRl/NfVoRTa0FfJE4wME6siedzQBFzvJh5QtcQay/Wj0naeXNpb6qd6O/BM0BqXI32XM5rQWYgQWZg0IVDrIWpcNw+gg8J5GAGIh+kNo6qYNKQ4cK9GNed2HsQhRQJMRo6NZCRQ6abIaKH637cz6RkwPXdg/oe6RhxA9IcBwryMuv9IeogXYLwQzgwdaEOzfsZARisXamYnE1D3RxIw2obTBpQU2dzhEOrnd/Qwvdz+t6lItIHdPTb75/RMjRCai/ViLPo2NdPXZkcNyFsQnXhPzh/8+T4DQe/Ojnu4Z5/evrk5PhkSZF+RBpudXTj3ejrs2bS+t47XdCSIW3/ZGNMkyvjfsWUe/DoYPL/0yuKpPx/H/7c5PiVq485f1sAlLsDEc8ENvx1TEKH8zqB/NnG8cnxQk7LeaBYmRw/XlVRmQOz4/NUVT6zqarVB1b13uu7ikacAdKwjfQlZL2RjRag7EYMFNfMlLW8FfY/sOoE4nLN3fGERwEl9o8uruW+uACkYRP7plZT65T7zyzeT0A9pi+KAkkppOhqr5KSj/d2pDVjP8+e1XbXOYI2hnVD8QIYKMv6zPrx8f2GredRhfl//+//LW984xvlu77ru0RE5MiRI/I7v/M78ld/9VciMt5s//Iv/7L89E//tLzxjW8UEZHf/u3fluXlZfnkJz8p99xzzze7SN68efPmzdvfyPyc5s2bN2/e/i6Zn9e8efPmzdvf1L7pDsSXvexl8uu//uvy6KOPyqlTp+SBBx6QP//zP5df/MVfFBGRM2fOyJUrV+TVr3715DczMzPykpe8RO67775nNCkF/WD834DRe3dussyGO0dUekP/QXQNo9ESogSTHUZtgcBahzcaQW8jugD0nc3PgvPIpWHyl+H9eE9G0hIUNEBeH0ad07Xxswg66iL/IOsxVcf9cA+Ty2jojigzQmySrU8BRYhchyOgYZi7qjPPZD5AAaA8rRARyYSsA4q+IOI5wDcjGrI/rc/Jn0/hend00AgEoN5HJaDuKL3O3EOIbkZl6EPYxIhnIMrSRPLirapGw8rIhxggV0pmv0Z6MkB51HD/UlajIkyWu1JEsmMm4MWLMBfVqcUNERGpdjX6sdPSaFz6oKJJmi3kvcD7pVDGFPJidZDwtVMAwom5caqAOwChR7QjLdFhW9Lraw4hCiNURGPaCXxr5kELKm6URx/I6H4J1zOqjTyNCebjQhtmgJvvFPWhIdDNfaBmmWd0QBABns/7GZQOxij2IRbGiTSOGSquBXsu5zSR8Rg7StjvG2eN5XHFZit6jij12BxoBsXHOxLNr2eJymVeQOZMNDkAy25UIefexa+Mx8vNmzAmIvjJHIzMk8b8ezZ3GfqPmWT1kHVjBFuYHxvDRhPoTIMUY0R3c1yZ7Vk3spm5FtkPiCjk2iK/hf6GcrEs/K4m32ISolNAI9I4h8fln9TnMD8fkFzM94/zUXsUEUGeePM9KIBAI5KnhrlkcVpzZBHx0MdHOL2j6Iij5RD9EJMDiG2M7A6uuSjUlojJKUikIcf38qNAfKy6+xMRerltoDmBtI3AKOYboW3yexDdN/M41g34Hv2i+52MiAnGAiIKKdjC+uN7Z3Sad/Ynlj23hb/j+bvXKVqFIB2T65CEEaIacT6/xVynyHkMZPTGHRCMQnlYzmyViOzwMeGab4Dvfy3aczqvDYPxf/zYGJ/ah5gsVA/N5ej7Xew9KJDCMSRzQTtZdxYMJaytTBEjIRKMGxR56m8DfQfmFudGog5TRDURLQhGUBdr1wCCCtmc1kez5V7HsmxdiDfk5/aiATtAKQ1QdxReXJjSPcNUWjvfYl7Pf+mLxybHb/r2z0+O/3L9yOSYiMVDS9qxzB4NZdja1UXw0rLmA4xEOyiWkkD9zmCzWMNCNkL8iYi8fOUJfU5Xn9NFJ3/LTX89OaboSpELGoplYvG/1dF7Eo14x5KKiyyGYigUZZlG/fKdVjCI3jJ3eXJ8GY2M11d6WjfTSBpdBk1kE+IqaQykfNcc1g1EcD7ZUARpFtes5MfXcH/4yJqKsrTAmCsXtV7qbW3vRLnWqm6RHzIUAJaVNvbD8yWI7CSRR7moZUhiH9cMyzCV17/X2246AUWGitgvtzJg0mBtIRQrAcLRtP2K/ja7oHXTg3ZDFoji/z97fx5r65rfhZ3Pmtfa895n2Ge455x77ly3Jg9VGA/pNOBup0WskCCitBzJnaRFGiICGIVQKEaBNnYSRYlFAiQghBwpNEqkJkpawlHa6UB3YrCxC1Nl13Rv3fHMZ8/DmtfqP9Za+/d56ryr6papKnzN+5Ou6q113v0Oz/uMv+c79E/j/MlJvPeg/Ww/1seodvXz8XfnH+dd0cDWZ6G66Jem/wQRiH/qT/2pdHx8nF577bVUq9XSeDxOf/7P//n0Yz/2YymllB4+nMGOd3d3s7/b3d29+LevjX6/n/r9qFTHx7NGVplWUmVSyVxTGyxeFZ8dQqvbeAM35Zh3ZhDZjH68OZnfL841cXT6IqK8GGz0b0CPzhy5iqmNmRnDqFJ8/sAJKQt1/jZhYJEl+eanmEjLEpi6WVeLR3H71JHmMdzeZ5FS7u8rD+L3PnQeJ6S+X0ajZrHVvTZ/Zo03Mvc+rr1ZPGuureLi1o4m0dwj0YK7UdKlTTiybmlSNqFfT1nNLmi1GQXCBCKQ5uO9GASqUH+PzqPA6teiM7qxFVSAB4dyyai3UAde2A7IuQOUi7S1RjHsfmMu3uvizuNzHNqaDBpHOMOtQW+oM7E84b2lOU8Qja6uFzs7VxCrdgLp4s3JZ+1wdn7/Gu1WJ/Vjkt6OZkuoLb07mOc4aXVzYEmy3bqfuaCbZDRJIj1u3iaWuaTntD2uoUnM+pK+yHausyG0RPvjCzOWYfGk/cMQ344xLaXl41pKKaVpnqQxTERcLPIp3o334rtoMpIt6jHgkkJo8oz5dlZPTRpmRhnOJqgn6oJ7zv7Ls/+j4YLNoU9yQCdakzhDnrEVXV7m7Fxd4lzr2Ov4xXw7ozN2SNhoYrJIaEhVlpbdJAmRJUVJZmy+EX33w++LAsOIcalbbo/xU8d7y3KIa6jMns57jI8FJmsahZgUNjIDN44tu6z+8M3OWVC4sDYeIbh/yHj3id1woLyyGgX14HROfV2SgVeCRIkX5woaXbkpbNk0aK6ZwQzlZOJ77R5OjyR9TYibnF9cRzMhu2Lrj4nekzvMXaPo8uQ138Y2bJEN+dsRbaL9hOvwvX32MxKni6Sk9bfzlDH+OWhfWcKuuL41Tp4to5Tycpog2dEgUX/4Et+GPEuezCcxeymebevLs7564VT/QTZ4fivHd3Kt1nqnmWqtZurdZE5kAWoeeMgm89C6jIkC50stnpBsG+GsWtnAbdm5vw+/+F0ZLBb1msP1b3BtDecEFGjU6Bx/GbX6UgyEJk6cuwkq2MC5dvtKzN8XySCTOyb1WvX4BqvNuOcmxohNdhiOh5GIeO2T714cX25En/vCZiQK3zyMRfWQSYfuuoIatqCg6pT8/Orsnd45j4SgZlnPdQ7iGZks7baj826wDvm1g3Av/thWJOcM3ZNvMKGQWnzABKFNB3/vPP72o5tx/etzh60GaxBdoP/RwY2L41vX4jt2MTZ51A85hxN2fFfRqHjQi/u7hvNYCvg5E6kv3IuySTc5XIky8L4Ll+d3ziPBuHIj6sPhUZTR6zejLDZZX7+zh1nLTvytNH2XWeeAXFbb8d6a/Kzh1Gx9q/OdFm3rpIvRzNOYV2zdBPCyH7+ftaAq91ynF6/1ByckJVkfTTMJBebSjzFm2o3BqbqHRMNlXJjn/U6VezbIWfS+J9rVlKSlUmvmLGqro2f+/RvFt3xV99/8N/9N+q//6/86/Y2/8TfSr/7qr6af+7mfS//xf/wfp5/7uZ/7TV/zZ37mZ9Lm5ubFf7du3frGf1RGGWWUUUYZ/5jx7RjTUirHtTLKKKOMMv7JRLlWK6OMMsoo4zcb33IE4r/z7/w76U/9qT91AW//+Mc/nt555530Mz/zM+nHf/zH07Vrs0z3o0eP0vXrYUf+6NGj9F3f9V2F1/zMZz6TfuInfuLi/x8fH6dbt26lSXucUmecoXKkXWQC4JzjrvpAmqy7R2R1a3OjjPYTuSRxONRs4/nIdNfZsRq7SwVyJ9sDK2YcpdbT+NsuopfVJQjAjD4rmmxOf24esDN1ix1BEG9j7MszqjQ7ciL03F1WmD2jDoEIPb0DgoMMvojI+glUU1ADUo4XqKkqZiZSpAbbzyJFUkqpwg6YO4LjK1Ee9UMQiGtQbKU19KKc6k+hP/uMxiooi/mO5xTYc32jmBcjOtbnrQJF2dpgx4Fd1ruXY3fwfjN2styhcVf2FMTgRjN2OZ/2Yldppc6O7ryhDbieqEPFliug0xIIB3eXVtgVdQeq4naHovi0LVGuFXagU4ddmgdxr+Elzl+wbd2BUYdWQxXanjIAZ7dEuXI+iOYMLbuE2ms/liGleFdRlaIaL9qcRkX8nQjeBm1szHMNdnlZEctPocKAWB4r+eDhwkTlQwzX+HaMaSktH9dqwxlFX7SeaBkNOhYmDaIFx8341tIjO0+jrzh8Kb6jiJsRqB+pippBtI5AAIESFD0uQk40l7TW5vx3qbPZ+G0z5D4iEKvPdqcppZxKu/owLrT+fvF4cAqSybEsMwuBXtrbYnd7jl4SbZbJVkyUHRBREw+w97EoGO/fPC6mYorUmkDdroN6EcUywYBgtBIVa7hJ254bIdnfZLRbjVA0r/Bbg2yrLikPv7ESFVJ7GpcCibEK0ubwcQwapztxviiLi3GIPk9pizQsnrf0AuiSG5fQDn0nkYkrj4p/t45NasVSF44B4/az9VBasTT63g5zStna0u34Nmvv8be8ayYDwGM1A+CTSV2IILVbly5tG12Ad2TUHz9f/OwiB60nA+4vq8Xv53VE+i4rGynX2b34W1HgC8rz4nrjD7mJyndyrdZ7bpiqndrFWiqllJqXozH1zqgwoAU1OtA4xTmaqDxZFBo4asDXQt6nf2xjmc9VXCdo3Od9MraWsF3qThd5LJkbJ7zrFpIT3KsHKyqT6IJyKA3Y/u989KwWhUjATToR5+xPuzG/742irD92KdCmn30U8LSHa4F4k7673Yl1yIOT6EgH9LtX1wNxtse64sv7gV5cuTpbB1QZkExYvN/dvjiWVnxnNcaOIei0rWa89+N+jCOiHpeh9c5ynZeLuH8e7+f17/W2njlXFGOHycLjk3iWxztxvTrrpgXLK6WU9kBArrNAWVC+U0pprRFrKNd2/RoGo0zYPnk7qONraEdYBldWYiI3nmPPXBNuQ1Vu8H0fnQmDj7gEZV6Jri6GKqILR9SfrL73pFFFdEEPniqXNZcKaP9a/HsFRPEZZqC2ve578R411n9Ks2VsLZmKrMW85vRdJsRImdW+GOU6fSXK1b+tzhl5E8pl8Fx896r3IReVzU1BN0/njzL9JpZq3/IE4vn5eapWc2BjrVZLk8nsBe7evZuuXbuWfuEXfuFiEDo+Pk5//+///fSH/tAfKrxmq9VKrdazDbjSr6ZKtZrRWzN3VCqN+jZZ6GqqhlLmfDr72+4ulRANDGHoaRcdPLnxViAmtuqhZdRGKUpXi7lWGVXQiivjkPJozhOgvReByqO1MWRgG+2QWFSL7w4LjvP8O1/ck2TCdBmdeYk784gBddIE9itMmGTQ5mdnz3zyPNQXJn1OBnQ7nnRYYL4Tv5/dxQ2YxElGoTbB1PPZiykL6QxdBOpBfW1W9s036AC/OwZfNRFW0YXYWokOpcbg6qChpsUKMHcTf/u96EBzqrLXifPfOgzIufSTyyusGufx+DA62+s7wODRmjg9jfubvOo2ozzqTKSm2UZB3L9xQD1hIWDSNyEhICU4b4vza5qAZxDIUruZdTjfmjZZ22fCa/ejHgaagllwvkn1ke+08mwiPaWUpgt6N+XlNXJZgbhEljgQco+2p872DRLsQxLmddrZeFEeSxKlH4b4doxpKS0f14adlCatXGNNeqy6X4t5u87Imcad+n9r8X/a+0gM7BbTnF2cr71fnDT0nIWLeUp5gsIE08bbJHrmVOjNt6KNH77IhgwOyLowZ8629PUmr9Q6nDSW1HebD2UtFbpxjkvdc2jU8K7TudxHFzkUy1Hn52Xlu/qYucUyKibP0jxFP4xkpv2ychEDJ+X2OUqczNt2JpPiJqXTEBOImWRIHGeJwq04tqzHaIA10QO6h+zG2X5Msu/cCf6si4j9cxww5wuAzPnd6ZH6n7qXEyaa7LutY302n7pXituE17Gu+gwwAbMk7YIm39+I+mO9hm2XywA4pPDsx3c5n++3AhvVxGmRJubXRp78i2PrwaIMMo1Ek9EkZW3zfjTL0TJQJzGjzC/RPTVxaz9iWH6Z/MCCar4Y0pbsEX9Y4ju5Vqud11J1UktTaLo9ZBWmSNJUWOzWyDqPTNQ9hO63XvwhGntsTtyOj20SbvUL8Qynr8wqYkV6NI3fxXsTeZzxC3HtMRplNTQQ134xOpqT7+NZ+sVL8AEJ1ea1aExj+vHzbpTzQ+bvJ4eze+mEO1wCFtBxt8ma4Wb7MJ6dRnN+KZ7rq6cxyL+wFiAF1x6dRjTuZi3KQyryCEDE3cvRSTzuzXYq1As0UfnWaaxHrnaiEzVp+MbJlYvjrVb87VcO4ne1NdcATBz2o475TiZoB7gd61j8Kw8DeftOZ5bovERZZ3JPlMv755EUde31qBfrKZO7W6txzRbz9F94N5ylNzq8UyveyYSndUKHaF2b1VtcjL1dysK5h8d96mx/UDyojE2MP4j7TDYZqFjDndBuao9pi7vRv2T+BOQkKvOyPydpOG0zt/oHMWCMP0nyjrFxfFictKysA6xBjkyZNMFAYwbCOtJzgxeLdUsEG12A3HSq34m/GyLn0NqMbzqg31XurvOPZuU+7n/wxdq3PIH4oz/6o+nP//k/n27fvp0++tGPps9+9rPpP/lP/pP0r//r/3pKKaVKpZL+2B/7Y+mnfuqn0ssvv5zu3r2bfvInfzLduHEj/b7f9/u+1Y9TRhlllFFGGb/pKMe0Msooo4wyfjtFOa6VUUYZZZTxm41veQLxP/vP/rP0kz/5k+kP/+E/nB4/fpxu3LiR/s1/899Mf+bP/JmLc/7kn/yT6ezsLP3BP/gH0+HhYfqhH/qh9PM///Op3V6iGr8kKmm2O+wuqFTB0VWy10A1+5dBikGrNe/q7vXFzpNC4JvFkNC0jzsPUHwdYb1284Dnugt0/35cZ3RVO0wEdZcYlGR0Rn7vzgWMK6CLKlAENIyoQqWdkG2vgBwU7Sn9urJGFl6qqQhPdueqIJkmIHon7AqIijCOXptdR1fnDAnI30nFFp3lTkQNo4wMatyFeqbrm99jC/jww/h+4yuUMbuoC9Rd9yV2Tc7ZlWU3s3EndkJ0wzJ64+Lm7O/upJ3hdClVWVrDaBJtUvHlg9P4UAszlN1tIO7UJXc/dc8aQ9moblLfztilaokiZNcJ45SRSF+ReLZhdnEmIPcaUHIXqNgMbQqtfwpq1f4kuw9tK0MRasoE5TkzOsmoWcXIH3fKqktg6e17s3LqvRDf1D36xgkURhzNl6FYpt3iNiF6uiYSV9OXBS3omxDm/a0W38kxLaVZ2VcmOXKmGU0rc1C9QILR9DU8yNqG95Ame1SAskk5oqd7mfZj8wStt/YA5AEutr0dkKqdZ69zds2xMa432ChGHWbut4wXotyaPJeUROnX55eLr984j3NObhVLjGRosvGz1xg/C8JJKaXUlnoMMjJzajb4rhtvx+5yfyf6zvOr9BX86RkIlf5jKNL0hVXGx8Xv1WXIzMM4lvZ+dl1aNn+rwoLIvW1+ByU0AOEwuRzvmtGIHD9Amhx8PuCf1buzm4millFi3bcud6Qh4xuhfIB1zD5dFN/G21FoD78fQwjQbxvvggDGXdsyW/zub1ndV7aA+igS0Htm5nlKajhdBDm488WYtxy8HAVl/5IZ1vFsRe1Vd3HrbIZUpf/JDL6WIEiz+4NelELdwWFZRK0ITvuINs85boEWmRfBgtK+pGv90MR3clybbg/SdKWazWlF6zQfOScBdbgCE0LnZZhK2dqD+bhI6zH05zF1c3JFbYXZ9ZWAymRzQENm8jFKJTCfG4OqtN/IpXiQNcDEaUIfuaaEw2H049evxCDXgVl0eW4u9c5JXOTKSiD0bq0GfH4FlNubp9GH/r2nz18cf3I7zKpEfb+y8fji+CluxK4f2jzXEYynPkykazuBOpQh9fbR7Pnv7kYD3qaD6naiLr1/Fo35Ms5jIh2P0UH4xGXeiQ7wQTdgZvu9KOvnVqOslWQ6g/7cw/Tk9CTudXduUCnqUJmoTdyApS3ntHQQqSAWJ9hY6Jjcxbn31SuB2n8CTf2U9d8O6Mh/+DTclHdXY+IpS+36yuybDUBDjkExHjGWn3fj2dfX4l2PqMtGdTfOqYpGXKXNsf6qvxDfe/pu1EMZmkUmRs59Jtusi19nfYZ7ucjkzj1owx8DIbwXZVrbZkA0VaKEVePZ50opZe7Iyk/VWScv+pfmEyTQrsQztjbinUZcT6k6jevOPjJ/jm6xjFpRVKbTb4bx/Fsjjo+P0+bmZnruL/y5VO20s4X35hfi4xx9ioKgo86tTyO8jpTnxeLXZFQ9o8OSVGsXJwdaQt6lxkoB2SLheERiY5MEos7ESyYwVdxqHXTrc/vFrKJyESG3hg7S9bMl9GuSalUSiGOSQZkTLZMHNeHW3ojGcPo6iTWSHo1jkxXzsrSB7vDdSTqlTnHiLaNxQTd2MrCGc7dUdqneXid7VzVdsMBcfAe/gd/Lxj1iMtJeIVFJwkw7+03g6Q9PY1XXgtb2/lcDxv/8i7F6Ui/lDG3CrXbMvN55EPSFnUuzDnzv/a14Dyf8dFhNEn9CrKenUU/yjh33rPfRpng5Bg3drnRqNolpJ5wtRkz+LZL8rq3WFVnjkDaUUf787g5abTNynE+/JC1QKn/F9iq9h/qR1aFFXaHcdS0c2SZ5xtoTeWU8rhNemdvoJ6o1mlGr5wu2SbeX3vujfyYdHR2ljQ24AGVcxGJce/0P/3SqtdqZ/tbaPb4TdOZFEqo6ZLJJQmIZDdGkhAuw9ffjH4ZrcR01BdUFPIe62T4onkqMSBr6ThvvzG5solAqqEmIiXXQsD5yfvsgXqrzlEXM3egr1HIz0aJD7PFtFngMWUoiLRg/0h1bhyw20To8uwZ97Dei/e6/At2EJKdlZ/k2zuL6e69DT/7emPC3m/HAJ8dMxI+iT7/8D3i2uXNuprMXQ0RqkYiROprpBRZPIXLHYqpJX93BmzE21FeKpVWabGw2pGijpbiQCK18RR4796fO2D5MOutAvHqP39X/W5KItB83wb7yJP6gt12sh2giuTqezq9d3H68p8+VjV8OR3zXnS9GgejU3os1aPYtV+8X07UtV53PlRyoFaxHsrkrx41TEtM6OZMQ9Hr2i3XlBm6wCbrEBT7TbOU9TBjn+pT5s0x6vfTWv/+nyzHt68RiTHv+r/1kqq60U5UknDTHAXqBifmOeuNTBoExfZgUPzfxs0TgKXNN13bMpxYbDtON4nWCcyiTg2ocZPP7ByuF52R66ivMV0k+bNyOjuPmZhybxHHTX926rbmeydmSXazXVsMV91eO7sR9OnGfSwgX79EZ7g3Q2aMhSm89HMSxa48xndEQWusGCTQTju8fbKWUUvo/Pv+li99MsH2VhKf6ja9sRWJTR9+TIQnEjfcvjnt0pJ8/Dkdkk3x31iLp2kT/ocEg8PZZDGaCNq62Z2sVXY/9jgf9KK/XNuPZ3zyJ6+ka/f/68sfi/OuxbrvcRlOQhOOD8/gG29C4B6zzdlqRBHvvdOvi+OZqDNy+08vrs6TkMWUqzVrdQ+nRjx9Gonfzcqzhjo+iXplga21Fve6jkVwnx2AC+t7DSJo3mUP4twsd/gp9UaNVvNZ2XVXZw4WZ9VkbeTFnwGo2Sk8ekuTM9AhvxLdRrmtyQDvGQ6H5/ux5+tfjPWv0J+phG2M9FMgfDJ/OvuWk20vv/Ymf/EDj2rJpeRlllFFGGWWUUUYZZZRRRhlllFFGGWWUUca3nsL8nYxKc5wqzXGqskN99HGQO0fsOmk+IG1H1CFIsUzUd5GkBZE22ozrtR9B0cSEo/V+PNcA2vQUZJCCwRVRhztLdtJ0U3W37dwdeHbY2OmpzDcLzKqbpR56n5PiHbtMgF26qJvSw+LducyJaAnST3fmGk7YY1CQg1ts2S/ua+pfqoMIK8paFGYDgdOBvBRRXTxuJsjK9cXyVnfiGS2PDqY1CwdKRU2rUHYH1OuNy7G75O5dTTg9aEHpXafQBaQXuLveZ3dpoxU7gsfd2GHaO8MZijI+OZ+fw/dtQo0XCTimLES8Su2W6m4ML7Pz57dZgqF2N3jYx+FTce2b8a7TBdJXiLnoVHfPpeSyeT4BAak8QobQVc7A977E3yrAewoC8TpUb4SEhdcvjv1Ghn2OITI6M4Yh7LvaIBYn0m9A5U4W337yIVec/w7GpJZSpZYbHaw+HBaeO1yd1ZPTm8XQr4w6CmUvoyEfxrHIHRFIPotoRP9WtNz2l6OeHrwMjRP00OnNWd3IzAyodqsPJs+cm1JO0VwDGSU6S1TV6XWoOl+JFzm+HRfK0FygwDR+sL/U+GEBrJCWOYR61zhjvOD9Dl5GkoFysf8TROL7TTE/yL4x/euxLqD0wbInToOtdFEGIrYyZL9GFo6HVj0ppXzXzPGWvz1vM37SX40wEagzjxsuMcPDmPxi3ERfPnV3GZsOmecsQSaKCsxcfAE+LXNn9jqdPfp9UMLWif4WyBzKvj6XTWmeOM+CocB3z5DGSxCWtmERkM7dpCf7TiPcof2uUp6X0Y8XyMexhjUC8lX9WC+u+6JAu6BiVx4xz2gX4yG8jmZQ56CBM8mOJcYwi3Mu6saH3IX5OxmTcSWlcSWj72oI0sjYFPyd7Isl8/qKjCvn75zTfhTXySSD7E6KuhbWHYn55FQZCOa9Q1ydK5g9yjSpatKyRH6nDbpadNj9s0AEaWr46k4g1+53t1JKKV1pB4pQ6m+7Em3mzkoYreg0PKnH877QjmvvDZ6/OO7SuYiu24D99OsH4d6tEWQbc5X7Xwzb+rU7MVBc2Zgh1N7FWES0nqYk16Davnsa52sSI+LO573PxEiDFKWX6iAN38I8RsfnnVZ0yG8dxzlP+7NO9Von3u3N40BPLjMweXAU3/rF9YD/P381jr/yODrD5vXiOfYqpphSxHusH0QsroNsFW1pvDVHW4p8vdIOROFXnsb7XcZt2bW2VOzLO/H9JgxgBwcxIDVgr2XMSY5ddzbqrKWdN8wb/Qr1UcPSKUjg6hVkoLbND0X7GGjoouQVbbt3guMz12m9i2SZEgl9GHlZLoH+8NVZufpqjc9HeTnnya6BnEMCpZkWLLnpEmPPgigRiGWUUUYZZZRRRhlllFFGGWWUUUYZZZRRxtL4UCMQ07ia0riaaRC6i+ROc5/dKHX8jFGTHYeTZ5Faou9ELvZ2Vb5GMH69+LkyBJBIqnZx5rfC7pWmK8MtzmEXbnIMoq2r7kTl2d8ou0yXhl21KrtwE5BU2Y79GRl8rm+K2t2+Klbh4w1V20GUiKpsF983Lc5Zsgvpzl9mgsHO5oSdzUxD4K3YNTgDWVpFv3F9NTL73V7sGrgTMWZnYawm5XyHZKi+4wa7dJ3YcVEnRIRpvbKkznBOqxnPvtqMa55h7a7I6vuHWxfH54jxKuyqgviFZsSp9YRdVuqjwtn1A5CAl9kJEQQqKtZ7il50l5hrTm5QZrTXDBUL6neh3ef3naDNmEAGTZdUx2wH3DZ0LGSHHbOjOO630MUCdZihfvkGXnOyReOaIyhFC441dHkCPESNp51is6bETrrI4f52MTI5M4BZ6MdWi5FDZTwbtcGsqqlZdvgSiKzuNDs3pRxdtEzvrR0yPhkqR2SUZgJqvKl5J0pJQwz1yEQd5qYrzxoUaH4wOY37n12POqixgaYdzeN4yO6OcKFUeFw/A+UL6npqeVCWnf34P0fP00+j1bYwnsnLlHvyHVt8A5F+It4yzTYBKhmCDC3FXwMx/mnGO3VanXPQ/2kqsfjZ+/seou8yZCZRyVCz6Os49i7pClr3o6IMboIsW6ciMlaOGFc1u6rN+8UMsakh28QxJc5pHsZxD21Gy0DtUEAbqR7giwxR170kchbUAtJC1g/bSnuOwD3bjb9bu1883q+/BxPhep1jkBo0D7UOB1tc5+04Pgl5tMykxcj0WDEcqaqRuZmeCd9TFKPakxkCUuMWqtLJc3Gh/hbjs74WXH/7i/F/KtNiEX8RyD7Pos6fX3v2Ocr4+jE9a6TppJFG1aiEVdBI6nJlf5eJaS+5OOuEzIyPuZtjqQYMztEu9K7tKn1GWGkyhdJ+dATbX4prH34UrcObUe80x+iBtG5gHOU5mnyIqLuBPt0IdN0CpXitHf+u8UdvijkjHaA6hu/PUYwppfTqeujsff5pIAq/9+p7F8fHGHIcJxBc9MubKwFd3seEceelQPGd96I8+nOY+6/dD5j8i7cCDflB4ot7gdC7vXl4cazWocaSx/3o6GRx+T2ugrR70o8OYtfyBl33aK4DeXMlNCZrrNtWQZt2MWLZ3QhUnuYu11bidxGFbUSam3xv14iP0Yr0b1dwwFrjXb+4H+jQnZWoe1tzlOnjXuj5XQaBeWv78OL47b0YbNot9KjPOoW/Z23+SXyPKeYqNTQF904cHCLGrJUaIBOb8/Xwaive+QR6Rb/jXKHw0lmIklbj1XVvDe1m20SfsX0FxOT0XpRrZkpJfzWZ90Ej+rmR6GpMe7L1l0auasku1nn1D/DS8/hQJxArZ7VUmdTyj8zMQbfT9mMcsS5JK0Ec/m0SGkyYFou0Xl2KBgmaJ1CYmfimFWD20HAm0qN9dpJzJk4aBcnMlL6GtqwZQ3Gu5GLiXseEZLzEOEbqZh164oB3qvFcYxrdyvuUBy5n2YRwrbiSmnzI6AO+yBrHiwXQiTPvaIi1cwxXELOXXjoyuUvjGlyiQUuFpoFJJ87E3i9FZzuBt9HTkWp9NqAOduXwRWx0Yha+AgzdeHQSA5gdvI5nbdyTT6Azr5CgVOBY6PetazG494ZRxlIQjnuzxnJGudS5RrdW7OQwwvlKB/AajtrMdVKDZNsYt+whyccJDtxZ8pGFsuPTMjp6nMChi22ubYfc2KcPIamW1cNVByiS17yTSfWMrnMMtN0kfIFrs0Y+mRgw7zHapV75Tk7WuXb7IVICJC3rJDwn1LHJpdm3mS51wSjja2PcTCk1U9r+EjTgV6Lf0IxhuDIr1yzBdoMNJxJ2dqHTqomFYnpi+5CJRmYSwQKbudvaveivepe0KY5DXU0XZiXDVRIPGu2hNb1CkrOGBMneRxkDSV4tDFpSSqnej+ODV+O5TJya/JQubbJJExPWaxcJiizBhmu2lOS1hxh/rDNOkvzI6LCEiQ0TmPsfMVNmNopvjCxDpaXxBH3B/FtmG4nSS5E1aGKgVCMBbAJawxjLwwV6W7fuy1D43iaZeKl4rmCCYMyYv9gIGmzq1qIrVByaQMzmVppt6IWgEg5OrNJnG8dSLeP8evEwnyXYTHT0N2bX1OxjWVL9+DbUO9qNf5vRyJeY3UhpzyLrO+JYd3bPufSFqMSPv3f2bPgyZMn2SfHeWtaeTeiarB1Kec4o/nGcySysRTn1doqfXZOoDRKzp3O3+OZ8E2BcUpg/cNTOq6k6qab2Y8aOT0VlH5BI0xxOul2FpEFGCcZRfIx0RI2N4JNX41ncpDdGC6MF1kGNJcaLg6fRsNbfjmc5elWJp8I/TT0ki+pLjBLPB8X0YJNBv/702sXxCRTJ65cPU0opvYHJSF2QBvFuN5I7988jSfUqZh6fO4xk2+XVSBJ1fS6SFW88iqTd6AkdEGYXO2u4KbOuqJuAmXfI13Yj8eZ9vvw07vOxqw/j7+hErq1Hp/P2QbzrCztBA65Spg/uxTnf/co7F8d7TEY83+SuyT/j+trsvY8wl9EARwOYz/WjrC2X+4cxSNzYKi4PTV/8XXmqx0cYqvANdKs+4zquKU1KLqje94+jzhy3ogMesC5e6xQDVRq057Oz+FuBQ51b0dl396P8aoy9tsX6dvQpJhA312PwPT2ftfNRo3jNW4PWm8meDZYMmkrCmRvwbzUJxRgmA+JAmR/eKHZwNkbzfIPrvApJ0UxyR7k5yt11Y/Vw9oyV7geXmypXdWWUUUYZZZRRRhlllFFGGWWUUUYZZZRRxtL4UCMQ66fVVB1VMwHy/g67AyB0Kh8gqarIcx/Tk9bTWWa4cQQlehckAUjHzHSB1PHO59ilehE0EogpM9miCEUGKjAqYrJ3FaQf5ZEh/ebXH4Hgq3VBKfDkVVAeoi0y9Ja7xWSypTaKnqqCwqpkaC7QDNDLR1DAK1KOoaQsEKSTS/HStadQuAXuQS/flGrwcRAZxyIV2C29XAwHHrBD2gSmPBiARHsUFUu6/WBuqOLugFSONhBzBX3dLRJZ5u/uQNU4FpYvPVkbe3eGpD4Mq5jB8GxpvnmkKO7hKbtCUqX3Y6dJxJ/njDsgECmP3hr15FTkEYgPaGKiTkRfaRZSVbx7jmId094qlK/1t/WE53ohvruoyir1LaPB0basn5Md2g1oH99v5YHosvjbw81nETbNA9CCmjiJNAblWx0U7ydJTRM5Ylimoi0nC2mD7pLduzKeiWl19t/xXVGH0YZHoJ0WTd7xzY3wDC0E4ka0Tnu/+HzRZJo7ZPRAEFMPvw90H5usUm81jzido6lE4XuubaNP/c4QcoQot5Pn2F0+L/5bacCTBu8KguuclxWZtIZ5w/nurMBFdbb3oYztYFpyvXjK5RwmozZTvtJORWFK0XQ8yCQOVopR+dJXF32U38BrT5owESijutIONHNpp76f7+FcxOjdiOdd/wrld6cYjViV4bEYY6XijPzW/CH1YbgEaWiftwy5Zx/decJtuaaI4r3XEU+nSogSXLRR25hUd9F/Gq2MoYtb7tal9XvxgvuvLWHEEKIEfZ4+31LE4NOPYbA1v7xoZZ/F/sT7e23HrLX3ir+lf6uJi9+yvxkvIiI0uy9mMKc3n2UlLajulSXIkDKejWlt9t/5c6zPQCnJFhlnjlbO7TimP5vSLznHr0JbrGPA0GKue/okKuWCVTIFjaTpnyECshdAvzRZpbKxFhy/TeW/BF1TOQXWAWfn0ensrUQncm9/6+J4CwTZzSuhjVEtgCy9jxHJqI15DfP7T2zfvzju0+C/a+v9i+NfPbz1zLVTylF/muBonPngaTz7VdCIp914V9cqTx/MUHc3nosJykYjOsDb2/HOGX2XdUh/FO+x1o6//fKTQC9e24xnuX07Om8Rfe/tR/l99FqgHY3754ES3O/GN9tqzzqaeyfx73c249m3WtERSSv+1XejrF+/+eDi+Cs8+6tXAym61SyGuB+CfKyCyn/7XlTc851Alp4cY1SzHQjAV3aibO6dzt7FPIUmnsqCncO6k+579VJM2FrQuEerrLNgz/VaSGHR+a5fj+ucHPKujP/7e2vP/L5/L76Hcgp15Amsj8Nz1q62c+TbJrBpzAcMH5MDUAqMfmz4IOrMVAMmnmcKA20heSDzsfOleMbuC/Qzog5FdWeI/9n/yVig3yA+1AnExUKrd6V4cpy5zEKPyVyFoTDWlixyL1zkXDzrhsM1slkFNNmT21yPSV1GIV5SsaRL0zdmA9eYCj2tFV/nQhuNxM3gqs6vJvjUsyumaOpEnb133wZFA4kzUpsEjNSvZaH2ooP3xcJIvScn/yQ2TKgcfjLee+3LJGIp04w6Sl2yU1kDjnwCDLuJ7mDvcpyju2736azDaF+Kjl+9woNudDrHh2iGXIpOXSqxk4H1lbjnQoPja59dWtsUzUInVe/gMPXi7tOLY6kUi/uOqXc67KkLoZ5eA6i452QU8V5xF9W4h/YRScPqGnRmk2Pock6hFmdtbn6Y1fEtEowmV0iS69o81VXdxIhtHkreYDP+Vs3WIQOwlLgBmkzOE2snJEzmOnI+47LNlPqxz04faS7RBDf0a685oYFMoEgu+mMlFsr4+tE6TqnWzOmH4ytsDrD4XiS7aksSdo6ByzbR3CBy4Z0lVwq0wFJKafUhk7TX4hnX34s64IK8e+lZKQETTXWcZdVLVINxTLLP9zYxZTKxikaFdO1s4xFNOiPTsyMBW8WGeEE/ln49XPN7xf1HJOMda0xm+D0SiV43IUzoZE6xUlWKJBlSnugpooxKNTUBtvUG2l2URUaN59lrJB+loI4Yk908zGRC6M+yRBJzETf7lKIZX8iaIAmBzMUSY8msHro547xvhbXjlA016+0ZNOBMV/EytOxYj2ZJ2ubxs99ssFG8mWvSUBkATFaz+eKQOv7oOkkEKMFqdPrN1u8Vt+esTrrRrIP74pwlfZH1x9yR80431AZsJG68x7wBKuvp7eKk9vnVqDOdfSSO9ph3IRdh0nMxrq29O/v/40Fx+yrj2ZhsDlPq1FLz/SjbQQta35L5wXQTTXISfyMFSE3eP0AWAomIKfRD5RCraqfP55GZesuBtuv8A/O8aaYbzF+z8B9fLZbW0YV5Zyca4t7TGHCloJo0HAAqOCOJ0J/rCN7Grdc1QNqKQ52a1xhM3z2PTvcSLrrqBbrekN56eTPO31d77YuRxDn9BGuiOCNbZ12+PuuEb68fXvx2OIgB8QaagsfoN7o26XJ1N9eeQ6MvozxzzXtnkWD6yG7oQHr9t46inG5txDWbaySA5h3c7avRuT5E09Ck4VojauelragPukP7Pd4nKfnC9VifSaduIO+xwfVrt1hn0XlLWzYG1MPOfN1pIq9LwlWpLNfCFcbSIcnzjVaxxr9SXNKJ/Za1JVrIOrsbo8WmAICJ9hUASH83yvTku5gkrplYYAzcQnf1jajj0ztM6sjDjM/o95ZIJAg+mbK+TBvPbj5kicoNkoOs6Ues46v6VWwyL1rMofQL+AZRrurKKKOMMsooo4wyyiijjDLKKKOMMsooo4yl8aFGIDaOZwiEETurGhcIn85iCQdqtIoxylN2rHbn15m488quk2YG28X2rOM2FIz34x9a+5HDPb29BBnp9dm9n+gsaHaezHPqyo+ZnSPqqpIZp4BY0hgZmrM8Z1Fd4/XIpI93RoXnT8nga9ScQB5owFLBcbrPDp6oxgWyqXrq9nYcjjNHpeJ8+Tk7MRkFXdQh7r69Js5p0B1Ef0y415hvUJNWtj3L/uvE1nNng3MzatgW9AnElk+6sTt393LsPnZAKe73A1LiLkfnauxirK/GbpB/626Qu0Rn/dnzD0DlNHHVToaoxAABAABJREFU8v0s3wxdyO/NNXZ0RsIa4nBAO7OuZg7k0PxGOHlmu8Sibhfn826ZEQn1N3NbtslTl+2Leg0rUxz6XEMozBoUDdepVyBxJ81itHX3uVH+PilH7kyrIHdEdrlrqki5O1b0F5n8giYuooE2J/Nn/eDCvP+0x7iZUmrlCCMptiLqpvMPL4o7o8uLRtIZOLqHrO60H1H3GQ/6OyDq2KDWcERk18mtYoqtiMGFg3OOGI/jHtRYTPIyNO8Kz6uhwvaX46SjF6JwdOYVPSkyabLEQVl0Zvcy/fv8mp37xSit1QdQqjZA59P9SZ8VPSkCynIUsThdgkCcMCa33gX5Q9/ZZIxd9K/WExFp1rtLvx7le3ynGLbq+42gPDcYqxd9VUr5fKLG8VApE/qW1p6U8bj+gtp7fpM50aj4uUSJL0PxZrThMKXMGSlLTEZE1J1fKUbFZeh0rnl+dXa+CMHM3E9UuVNdh6YlSFVR4pXD4utYx852ixHsbfoR31sk5emN+d/677yTTs4ilK0nfcbGHt+g7vjtnJU6nM2dKF+NgJQfyBD6tLnR/JzF9ab0T2V8g5hUUppUMuOhOkwP25usqCntfcQg13ofBsqtaEDdWzREjBXrO9GRX5ilpJTal6OSDyrz53kcjWwxR08ppTqU6MpXo2MeXo/71x8y1lwvlqda3YlKdX7EgEfYj7dE/VHnjqBr2v/sbM4al3TnzdV4zy/hTNykrM9oHE0+yG+chPOyxiUvMCc46MeziD4bQQFvvA7V9CEDAuv0Dai0jTlbSufgFzdAVXYDVfn5d8J85OY1Bi1C9pVIyq/uB9T6aic6piPWU9cz5+MYEL7r8r2L4zoLkQ0mDgs6uC7XGqRc6wSl4ymuxmPqzAnu0JvtYqryYxyh3zwMeoNrNdGcOktf6US5i8iUxv3OMbD5xd+tRHnpYF0H+r4Odfy0H3XDtWuNZ9HBWikuqfFKC5wnzGNA/bq+zGjJc8TidCeeq4ucV/V3RPlm8ljKGTDuaFA0oC+oPmKw3gHhiPPxRJbIhoOWgzjHWRks9IuY88nuEP0LklpUt7FglH4za7UPdQJxsDNN1fY0tR+R7HuB2d6oOGHkwtpkgjQJ6RD9eQLRhbT/rlZf+11c3p6PSuNAeHYjjk1wmfDMJtOZy1gxRbJywqcEUju1Es0rms6vlUMGce7ZYmIo1SrjzHt/XQ7XooLWSOhMoK9mejWWAbSg4abZSt5DmuicJj4mEbP6RrzT2fPch0nz9j+Mcw5e5z5NX4pDkzFQEE6YAGxs4YKs5oIaBpcLJhVnfLtVGjfUZ+a3qU/H29svnoAMtnHBwvGrvRWd1Lsk51aa8bvaiyYQ33oaA62D0qA/ex7ds3xnnfTqUIzHe8zmWewOTl2QErQ/I2vPNnk7YeqMyS4TdYuEY7Y4t+8Gwl9ncaNbd1ZnHHx4v/pjKFJQ62xbLrZ0GdSRvY90Q6YpunhVn0WHd48PgNNTvp1HLPKvxbfuPCR5zUJuQr2aFPW7tt8yvm5MailVaimbLEhnHqJx1oA6uYhMzwudv3FGD4xjkxLdqyT+Th0nuYF7TuafTJyYpNG5ls2+hTSI2oLShG0DmQ6d9yyiSqaURh10/lirSJc0abjxbjzkyU30Zil3y1W69PP/j5l21Hv/YixiLNPhKn2xScbt4nfV7dkkhdeUbut7Z9rJjFPqNNsXjbtRKRZ9SAuKuvWkcRbXOHwxPojl0lGrk3p6jiOztNplmns61avTrDv9+c04P0twz9tEAxr02OSSBofUn82vklBGMkAKtQkzk7tZYo+ks3TxzBXRtQLfXl3ORWL48ufigk8/2X7m31NaLpdhAnPjrahXh684p4xzhmpxUvfVdXRjYfV+vODx83EzHbgX623b/jJna8ulniVOixdRukavhVRb9uxZApbfR1zz8MV4dvUhK1SQhSxdd55DKV2YP3hUTmupMq5li9cpm5QmDdUzdU1mv+XcJ9NxZh2i9Esf/TQTVjq1ThY0YOdHzKukYg5eiIG3ynxnRALBqLWKF+1ulu89igZSX3FeGGVwjKyRVFaTLgtq8dEZ9E/mX0ePY0D8fOVa4TnnvSivJvp0yhu9zXMNWUv0HtK4WduNuH6NZEnji/Gcw43o6+odyeazOBlG/2fi79b12EF6ehLPeBPHYuP+KWVN2T3uRtm4JjKJ+fR09+L4e65Fp/MAWvIPXHrz4vhhf0aJffM4FtI1OuwJA4BU5U9ffffi+L2zSN6pde9a7WkvnlEXbynJn38c39sEYtqIQf8hzsp+1yG6/ltzmvrjsygvE4JbK7GI0l3Y9tamfBcglJRS6vXiOmuAWaZPY84xJSE3Oo06UVt1MhSHg704Z3V39uzSoCcsHFe55/EBgzx9werbyAes0LfQ/wjwymQLaBOCpzJHdkA39odpN55tMk9EjpBFq/GMyoKNAH5UAT1l7tALndhacR9WFCWFuYwyyiijjDLKKKOMMsooo4wyyiijjDLKWBofagRiqsz+G26QSYcumol7N4qzviKQzBj3MF1ZIHPcDXMnU1rfwGeR/iitFhShRgSjFeCncXpGrRbOKt33/NViUdrMaGEu2DkG8ZYhOMzYb3H/tSUwAcNUNA65E3b7srJuFb+TO+mZwDu7lUKZJ4uy5NucPS8HRd4rkHtRh1QU0VmZkGlr2YPFoe5V1WYxAq+9CZVisXPJ7qSubGOeV2qslGDd5VYxTjnABezKKmK8QNI93x2gLlRkd7uka7szdfGc1rX77BZdAXXIbskUcd8K6LfVd9jdeT2eUYMkXUgH14Uexe8bn4v3OMf9VCMQkXsLJPFQgxTKXTTvpPUs9e9rw/6i/ghqyzVg7tDURUNn/QLo2lG9uN1YJRf0Y0XoqyCNJ6AARDfe+XmQLp+AxkObWHuf3VLpQqBPK3zXCxftzJ2+jK8Xa/cnqd6YpOM7CP7vOcYgAzBnrWy+JU2WPgTqs4il9XdBJLxE/wtQYhnKTcqhdNc+lTBD4KHfrkHHAnlU70JfAW1Ww3xkjNNmA1qhhgqirU6eE54Vh2kZ4g00UvsgTjq5HWW584UonKMX4vpv/59vzJ+XCy5Bm+mcu4wm2zrCwXk77iPadEH/TilTHsl2nR0bxkAJHZsqmBEsrq95Rie049P5FVzd+aYrj6GrQmlf5tg+xHm5jjSI/ZXjdvMINPQlzllF6uIJ4828Txti8pYZ553BtID6fPBy/H7z7wSC4tHvwEFRB2fCuaYGLCLh6iA7RR2KGGycM87P4aSHL7cLzxVZK+29fUhfAa3fuifDREMX263IwOYptPeTOD56obhAnB8v6rlGM2v3MDq4xNxumcs1Y+P62/H7KeaExy8Uy4dM6iA0LL/Qys++6z7mG9bhBap60c6XoWfLeDYmnUlKnUmqMFnS2ChfrHGosZsyKSvMmTFIGYMSTLCZakvMCoZ7InrnDC2VYVg3Kku00kEi41F0hhVMHKbMkesgDft9UD8yM5gb1zdiQNDgQuMSQ+flN9+bUUOevxmmGieDqMjf9Wog26Sr7vdizXB0HMfrIAGVtumzTpAePGUdXcX91Umq5jSTl+P6Dcr4eE4hvrsdnbQIvStrsa7x/TrIJ3U5X2r16Wkxc+sUI8znMaF5eSMg2M+tRgf/2UcBg78Oiu9+LzrVz+7PzpEmrBHLOWPw3fV417V61BmRfrc3Dy+On4CMfPdpQOU31mL8Wm1wHarbEGSg5STi9SZmM2eU8QK1+XA/0IpV1kqPDpggvBXP6FqmfS0mct1DxjjYa92+1FtQuRIrNSvCoGTtSpT3GQjABfJSinObuYT1WiNccwC9q659OId5i8/lFFTGXH2Hd7Iv4Lh6I8opc3CeMzqd8zXuk9t5juvJglQu7BKIxkX/Wv/gA1uJQCyjjDLKKKOMMsooo4wyyiijjDLKKKOMMpbGhxqBOF6ZpGlnkglrT8mCtx7H6/XJGHtOpkVTV1Q5fl+ggUYI6k7JOptRNtXceY/7IwI9vRK7S42vROZ99KxGaUopRwyZeu9djWz7VN0xkGtqgqQFckWdPSzC3d3uL9F1M6oi5EAyZZpFmr5oDAOaTGSXIvcr94vz22fo3ix2Bczeu1NQGRbfJws0CTJNPHbbRquWB/di9zOx2yZiUCRqlZ26yVxTrwECccg9V0Er9rogRRBz9o0Uqz1GANgQabi7HrCFfRCLCtoqejtm50IUZHW+mzhhhyhD07qLq6HMaTH69/RldmW452gb7S6+q3b1E3QKj19esit6XoyEXTyDWqBT2kqFNmb99blESlTQexyJyuPZ23toCu5iYsI5mq747BniE8TicK4TlmkdLhEAnmDu9PB3shvvPUFpPv1k/J5AAdTQdRyLLJ2XR2ZcU8bXjdOb1VRrVVPrMH4broC0K9AaPHkOlMIpCC9QcaJpTp+L63Ueex+uDSonMxYAGXjyXDxMU+08/lZ0XZG8igikzh7oP9BsmmSIgBSZOASRJZLK5/J3x3hNUXxeUVNn10ULx++L7lIU2IghVrRVdcz4vU07ZO4xXMFAhHdSm3WZbpy70YOTeFlRwY6VY/rp7lxvUXSa31HkZ4ZUKwbz5+f4O3OCxtW4qOAz0QETTA+S5nX03fUzdvXnl3Tqo/bu5BCEO8Z19dP4g0efRpcLMMXAbpl6Yn/pN1NDUoDq9pdBDG8Wm2Et0MBqB/rdNRYa8XvWV6h1CuhmDQRydYnBjN/v7BrIoFuMvXzXNijpsd9j/uKActLhi8UI/mUGUNaZM/quEWjWiej8FcZbxurEXL3LmqC1X4xkztrZ/JSFpmL1g0tF/VMflWElVeqVlOivK/RV7S9FZeu+jPY3aJjWb2BCcYs5F3O72tP4eJPMIJJncVlRMC3JTONALorMGjMIt7ZA8bwZjV/d0MEPxLEsHI9tB9c2Y9BaR8P8q2cBD7+9fXBxLFrt/soMWivb6ARk3dpODPgD5ssrINU0QWzCPOo8F4PcAE284f147/rVKI9xn/k+1x/J9HocHdlgJb7fYDr73g/QYFS3T/Sk30OU5v5pTGhkULXaMLdacaxe4OV2DP6XgP8fDAJR90M3v8rvca+nnHNr7TCllNLNTiAXf2UvFrFrlMs1Oj1NV9SnFG362mZ8y5sgI0+HmJXwjXfW4v0059GkpU15b1D3PB7M0YujTbQvR2jgu4Z8MY53YL3t4xPQAKHbYj2sPuXgSZRH51qgT/2usgCHmQFn1JWzs9Yzv/XPyaWgC2huoOK60b6FdVD1mOvAgMgoYtsw0OgDbWeDKtfhb6f4BizWfNPrGPbcwvSJtbO6+yOeq4Xm6AJhmqEcv0F8qBOIjae1VGvXUv9GFJoL7MFlKuIRwuhbiOFuuzJiYrsXRTO4Mnc1JSnUPOB6UIzHG3HtLi6pTtIctPqXqaAauvgNhcUrxknCpoYZghP6zJV63jAyZ1kWFgPEwhMJs9oeg7I0I0Lo7nCHd9LgQoFPJodNJvRZwhH6ndDnBt9yuDU7v6qBBwkgBUtdIAx0kDXBZ9IQV9qMyjoqfqcm36MnJHudhB+dQX2ecBzYeZFg6/PdKyQeFU++9zBm5WuXYpW91eoWHq8guttkoBXC7oTly/dDMHjh7pZSSufHrC7mEwafvYmA/XCF5EbWbqioLnAp68oh9RrhXCnPE9z2bGcZ7dwkJkkSk8q1BfXeeScTPL+1icca4rfjcyldDGC+E+1c+QXpOlmYrNCxFkOBiUYRi/pMPzNhQVVFdNxFl6YH0jEbh8WJnJNd+hbXwEgYLIxplCAo4+vHtDr7r78Vv+laOnU/af6/mhJIdW3vxzcyUaEBRJYk4m9N1A2hCpu0M2lmssI2lDmZ0m0sEgve32TiytNiKuZwtbiebr2ByQd01ImZKdqEzy4d1ESr9NxsTJ48O5Zlm44mP1px7imJSs83GeX5Usotx/Z+PFf7aZz06AfjnKvXD+O+0LeyzR+u314seCmjUZZQ5rmcG5uoo/5Yx7KFujQf+l+ThqtMbLsbS0y1EFV3XnJ+c34MbcdwTmQXvfkG8zi+gQ7SmVSEDMwlifrhOt8J1+i9jzKumEDLqOzza3h/ntdvYP3R9fvpJ9gQ5XlPno9n2XyTxR4Gf84jpWJn5ipsPmTh/unWs8+unELWDnhGE6er78VzndwtNtfLxmfmyWMkeKY1kp86/27FcTuYn1lCddH+FiZHo+GS8bqMZ2LanKRpc5JqCvifIJvzEnM7HVlJJgjCyPpxHeZ1cLafIZng/L3K+qQ6T0KNmfdXSEwNoB67gd1g/je8hBECY1aiz13msNrEEVpTlI1mdC4rzSgnnYSVGrp7hR2gedzaOLw4NgE1oSA1z3jhUlzDa5uQ67TZIH+O9RnfuA+owqRS3Y15pDbc6O6szjo1QQ++v2OaRi91kjKGZh5NnmurE+XumugQZ+lhu1hbYbvuBli83zETna35ztuTfnTkJg13WnGNN05xLCVu4Z7s99gjUbnRiPf47P1IUEpDHpDkcy16iOHOFo7dJmmNwXxSZVtda8UgJA3Y9W0danVNKRWbisak2zGhqG0Xu1aZXG3aFklw15gLLJLjU/qWHsadNU1oXQuaV3DtSl9QBzyV6ItGR7g8kyMadE1W8lKsESe4wpvDmNydleWEpKV/1yDHMbjD5JEkZBuT1OM5HV7JtW8U5aqujDLKKKOMMsooo4wyyiijjDLKKKOMMspYGh9qBGLrMKVaK6XBVQTQH0dOtHuNHWWts02qZ9RUDv15gQQju7tAJaaUC4GPM0MQUBvcpwJiysy76Mn6CfDaFmLA0jGkBYJwEtFRhfIzmT+PO95eQ5pnhlJckmYer7OLJLdHEWR/ZmdPa/JWIPHT0ceENnCzDgYemQD5/Pmluq4V71CLRNn8cvyfo4+yUyDqkDqT7VqyczKtsyMA9NdvWQOeLez/4hpApqXjj9jFaoDSTJ8K6MzGVuwsiC50t6/Dtv4qHMI+2+vC2Y01d4woy/oDqM3PzXZI2/fYaQKJMlqlXkNtGl2lrBWibYpMhJ7yEKH8G7ErO0U4t7oR71cDwTnOqOZ8V01d5u+XUeBtY+50gaQcbBfv0mUoyXYxGlKamMhZkbg1d75EAPtstrmN+Q6bNG/b4RK6f393CeXHfg+Usm89uQyfy7Y4bzeTZnH9KuPZqI5m+u9jQAsZio5vufMbs3Lf+1ic3N98lj6YUl7XpKN6benJRmauAkVy/d3oWw5eKUbBZygeeZyTZ39zw/v8anH9zsY3nuvg1SiYq78az/Xkk/QP+i1RHiKfRFh5XxG6to+Nd2Z/fPgSSHLKVPSkiL4MpUkZZIYuIA0nID979DnnSJlMphhpncTNxiA7MrFu2RBzdtwYdHX7CQiZJSYgPq80Wb97H1ZC60pUvm3QDk/gCm+vxjnnl6LfX1mL9zuHol0FTTCZowmqIKHHS+RLmntRLscvFJ6S1eUMgX23GOni/Eqk+inU3wz5RN0zwlCFueBm/LsU2kx+BqSxyETRjX4b61KGPgVBqjGM/Yj1WcTwFEe+8/l1LLsuQBvn2ll749pdqFki6BWEr2OOMxbB4dzbezmA8dEG9J+W6+XPz+rY2bVZ4Y0HxeN+Gcsj+16ywqABdr4QFaz/CaiuNzETgBo7epEGdBjjYCX7vnGoocpENtG8Xrn2qa4gfaDJHSi30cPo9CqsiarUuwzVI7MIaQUNVU4xrJBKe20t5v6/9m4YeOxewsDj/dkk7QdefyNuSSe2Wo+O4HIrqA3bmDV84QDmUTt+/8S1BxfHGpqIipPK2gRJ+fQ8OhTfdcS6SXOaBZ34bBDf9Mn7wbh68aV4FkNk5m2Qe08xiXGtJMru4WmMQQMQizdXogN84zBo5Fdb8T1cT11vx/mP+rNrbjDIW14tJjF7lNEqTDDf6fF5IBnbvMevvnXr4vj1W8XfSWTrk2Ou08R4ZhDnv3MU5a0Z5/sHWymllHY3kME6j/IV3dhZR5KAfra6ZExe3Yw5gUjGNojXrZU4x/qx2ol7HTLnabWeHWRFyg4aIDNdqoFo7LWRsFGizDGL3EOzWnxOA/Rrbz/a+ZCyaYLKTeYPQCwu1mW1Tc3kQCsqZxNXS82rlC9tdUEjn3wT2hwf6gRifyulWjtlC9bBZnwEXYp1XBtJFZRaDI0y03Dan1N/dWy9FhV1jGaRk8e6NE7g9FmChE5Kl6EBSUOdvcZovtRwcM2MgZ3wPoxnOL85eebcjM646SpqyWT3lLJWS7JXfP5ohxUeMOLeNSbFl3ggdWxMdJgMsfHOZwYZXUHDZKjPY77f+TUTpPytMw1pl9QZ7z8luTM8R3MKGLQdhgnEC30Q9Xr4Hiu4EfeuoFU1jMp5fBCd9gH6HQ5Qx0xGrnZiEFgGT39wElSG48O4/gRa2fimCbzZe/TvAGHPMgG0wx0zC8UJAidwNb7BGDfn2rK5O7+7aHZAyxbuJP87j2bnnL5s++Ta0Fl6yCakZbqOJKAzXUWTiSSs218hCXQFyjVJQ6nIllOGJZ+/a6b1yN91nlCv7rIJoGuYGxLqiHLcIpE+IFmaUbrnidvKuLSs/KAxrcz+k04sjXH9/fg2+6/P6oz6eNJxz68U005r/bjGKjTnCpa+Gj72tuL7mqBUN7hDAsHrn11fsgM1/1MTdo67JhDckLCN6wZs7L8aF1J3cesNJuuvMzlVY1ENxC5usbgQ+zyLxKFO2ZbjYLVYJ3LlcbETbXUErXfFsk78zjOagNWZnT5PLbE641Gf8bH2aDEesflEAlHHW8dYy0vavdIufrM1JvlXVmI8evhO7E5sskH0Pu9hwtEE4pWtuM6D89miZ6oMi07ybB5ajjor6vzs0NFjA8V+vM4G3wjqkJrKNXSinaNLw1cG4KINUYw6sK/dL5Yn6NE+O09oh9CTM31VEoX2OYYJY52r1Yc8v7pE13D+rm5CWH9MThqOe9kGmPO/AimBlFIaXlfc3KsyJ2BOp66sm+7W25Nbs/Zx8e1KBvMHjkp19t+UZJGgDjdynetODqCpXmGQY32ixnYmvYQe4viKFGkeTC2+eUJzojSMG8/Oifh9qWuz0jokCrN+WWkbFo9ShZ9biwZSR8ro5RuhH2BC7Nqrs6TOOolCqa63O9GAx0wcGzT+T11+9+J4m93G+72t+L0Z5+9BzzWqSxqJScNsEwn33oWme6bnzjrPsjDZ995RPKMOzibnVqB0qxH4yk4IV6oP+agXz3XCOu/d80iwbTXjPdp0Ro15Z1el0xPUIY38/3DjixfHB0yAvnR09eL48DwmTFdYP7zy3KOLYxO3vp8JR6nKJg2voo1/2It7mdRuzQEBJiR7XEPtQhN1AqyGAD9Wt5HZgqb+5GmsRQes091gNLrKDJC0r5GY7vZm50wyiTDW9G4+CQpiveO4UPf31SjfsRqMbReSEctkq0b9JWtXPCsuipINkerlaPO2sZEgJZKTx/ejfGtb/Wfv9w2ipDCXUUYZZZRRRhlllFFGGWWUUUYZZZRRRhlL40ONQGwdzCnMUO8KxbRTjopT0L+FC2r3FpTn1WcRM9PLwM0xd6jigDqqgkjDxMUdqAm7Z6334zpu4rRACQ1fVNRTRAmQ2lFx1linvumcBtx6iNMVO7XZ7hki4u4aSE0x/TwGyVDFgKYKIqsK2msEmmzK7lEVVKW07/Z90JbU2gUtR8SWNO8xiLcq7mBDnB0b7lQisC4lZgiSciKyzc1q3a2lAingLOpusTuXiSrH4RARcV12hXU32fF4dBy7ZM9jqJJB9M/jHHepzthd2mjj/owrWh/05Dow8+kcFaHrVQ34dLcRsIqJDlciPKWOy9LVIZudnpGmOW2/Ddc8o6L4nWgrY1yIT+88uxskxW2wLVLLb8aOlaiUY5GU7LyBIgGolDkLZujBJVIB0o+bj6nDC7RjrXh3q3ej2IVdN7HpkvfL7m+9la6tiPViN690Yf7AURvOELaZYzCfqXuZ7zEvaum4IgczkwyQhjoAn96g3eosS1NqH8bfamIyammWxO/QWtffxyUPt+hFO7ef04BClJbn+HsbvXhNF6Qki/A6fIFd6cwdmjkEqMrzXSUO4nyRYgvUZBckfeZsK0UcEI3Oz5mT8RKapd/Ysdf3nthWl9CF3FUXIbcAoKw+iH8/uxHXzr4N5dsPEEaOpstM0OIFDw4DCXJtNdAOWzeBZxJbO8WwuBefCwSOY1xzTsXxnTWOOXoVF8KnIImkLoGKsw31rsSx3Z/jiH33yn1Rf8xNr1pX4jo+w+mN2XcQadiAAWJ78xuI9JsCt+oEQCVj5NSokxmKWMQkqFgd3Lcwnjl4tRjtvGivNUxHRPkta4fO2RvOk6+AMuMZ+5eLUR5+qBoi91JSXTdkBmIaLc2nThdo5XJI+8Axnc7+s8hcN03t25ina8w35DgxxxhDW25cgiba1KlHZDaX2YeGO1+TZBJFUAwzdI+STTrkysrC9KENhdJ+WdSW64T11XiPt6GRirTrYByywvpywTh6eBZz/U9eundxrEuxbr1PoS406ZTWaKBfBAn3ymag9TJjD5B+Y8pdRJSGWcOOUjvxXZ8czZ7HspBqK2VWuuatzcOL40eUwd2tWBONgBw/PolzpAq7Pnr7ML7Bja0YHKQTPziNgfh8FHVyuzlDy33xOGjhx7ge/86rb18cS/F91IvruT67shZo+z45AK9pWXu+7yTqUJTgQTfK1bpq3VsYphyBUNTcU1MWHbLH1JPNyzgDEnsHUaZKdLnufXwU30ymmdICyo6Zw6jPkYcD6uAyZ/aRCGRiYl/0HszDl2D4mZNhvdrjBq5dXU/V7vEtyZU4txivzf/W/kx2iXRn565ILsisXBiATrpLxtGC+LYgEO/du5f+1X/1X02XLl1KnU4nffzjH0//4B/8g4t/n06n6c/8mT+Trl+/njqdTvrhH/7h9JWvfOXb8ShllFFGGWWU8Y8V5ZhWRhlllFHGb6cox7UyyiijjDJ+M/EtRyAeHBykH/zBH0y/63f9rvS3//bfTleuXElf+cpX0vZ2ZPD/o//oP0p/4S/8hfRzP/dz6e7du+knf/In04/8yI+k3/iN30jtdvvrXD2P7vVpqranmbbehB2g2km8njuMzcPIm6rJJrrG3c/FruUAtMUExN0EtEWGdNKIRAF2nqt/CYQcqMbe9chM1xDGnG6D3JM/727qFhpk6C8ttBTdLXc3bgoayUx3B0TC+R11ANDv4BuMrhUb1oi2SpS1KFB3l9Vhy1AAIsHmaJj1N0GSxiZZmvBOFYwpMgFnviUSOWnIrkz9EPQk5ZuhvBBtV6dn/LRV+PsCVSi6aMI3HV4vNqYYn8fuVhPx+CY7kifqVbCr5m7Qb7x17eJ4BQ2KtTZahudRJzsI2BfpXYzUpaFuTI7jeVeuxQ6NepAj7pPQf6ioKUGdqYA0rHoOu0qZgRBl7M63pi4LhM1onW9Hncn0V0DTik5VC9TvKipEBJUoHbUwx2p6LkE62L8o1l8/n/dX9C3uQFVB1jb3ixHYV/63eL/9j8ffqjWqToc7WdPzAuTn8NuyV/Udie/kmJbSDOk2rX2NeZX9qMU+b05DTAnqyMM0T0Q9oXfE5q/oJY1bNMTo71DXbKpbGvzE7+qqpQq7pqDYFs/pPbM2Q7esNpv6g/Uu/SXISMcLy1G9QK9fhOr82siQUhxvf3luZPPReJHpuPhcNRtFSfosGtn0t4rfSYBwpg/HPKCmQRKIe00E3EI+m4/tvVPG5oNijbn1t+PY8dbv5LfOWAHTKKfHW4E26DTiBuo2iZgx1MDK9HznhyttxMU1dnqK1uxuMer7DDR6+xHjiNrYvFP7EXOYbfpI2pBmVKLcfD1/X0hgOUZYpprqOL6o+en5YcqS0rRWXN971LdMz1uwCL8fvgRK8KT4nEU/oh6rxnmd/WJ088rDxO9xXKN+Nhy/LWuYLKIUva96pEOMjuyPVh/Gs53NdbMXXgmTD7ms73dyXGvs11O1XU/T2zHPHK8Va4Q1QeV0mc9NmG9UOX/tDfR5L1Px0CEXgZgZmlwC3TM3dpxWRS7GYR0juLHzT/rT8THz4svxrqcaPqG9tr4WDV70mUixV7cfc0787d97//mLY41LFki7lzcCIXilWYz20sDj5dW4z68chODt2ych/CpqTfTbIei3sz7zffTsBiDIRFud95qFv1fn/fvew4BLb4BaO+1h5Mi6plYtbpgHoOUcay6D0Lt3EvdaoOxSCkOXr33GrTY6gmjTv38a13lUm41xHfQHL3dioHwfHcVTkIvqR6pdOGQCKNJQlN06azgRoZaNf3tyPyYm9R1QvAfxXdev28HPnwXUrChGj0WHiiKsL9FPzNYqoHtFrfoNGm9jNvqxQIdW8MM4P45vv7kz+969E+ZEbSeMzCX2+R4io0fob4oQ9BlZDyfmYlVQz2k3rjk5iHtlpr/EBeowRX4kQ2lzbsYiYy3s67V3o173nnaeOfcbxbc8gfgf/of/Ybp161b663/9r1/8dvfu3Yvj6XSafvZnfzb9e//ev5f+hX/hX0gppfRf/Vf/Vdrd3U3/3X/336V/5V/5Vz7wvSbNaUqt6VIzhnyhLkWJc1jwS1sZbBWYGHgf5+DAx9PjqMzSGStUjqrJPpOA5t2E0Uv15HjCYr7BZDaDzvoM88boPaVzu5hw0aW4eIXEKuuAXMyaZ7dRKDq++g6Q3qsqsheLmSqoXy1wvzt+Le65+RvQKaEx0F+msXR0DSAwvtFRySSjSZTVN6IzWJjUpJQy1+jaPg2c5NTGm7P3UHh+4IJxNyrwENc5J0A9INZb14rdq5yYPDwMWLxOT9IndO80aWinPXgcHfLV//fsf9//56jLm/F3DkgOLD0Soa0NkpaP4/7SlqX+T5aI0tYf0glj9FKB5mLdlpa8cDuuahpi8gGh/EzigPJtHLE5QR/Sps4OSPaZsJa+L/15wCJX+vXaO9BQn9c56Gv+N6XMEdpn7O1GOa5+NeqySYEq1DMHl9Eak2hMYjr3aUPzuYuJ3Q9bfCfHtJTmycNaSk3ma1ky0c8xz79kyRooiSYb7UO9XpZ7WXIfEycmK5YZMGQmHyT5TFw0zma/93GBrZhY4T5j78+6tX3AoouEgMk5qcWbb0Px2CB5vgsFluuYjM1chaGAHj0/61syuiO04syVlzETjfss0XReh+plwpFnMYm6KMeUUhq8zjlM0NMW/SvJxGbPucjsWHkGk5/Sxe0fjPPYk8qSYavvxTWPX4/n3ftSZL7rz8VL1eg7TxDRv7UTGaAbOGMeDqLCLUxaXNxIITy+XJxYqCC3oiTLcJ05hH23i+AbjiPF85ZOrOez9rHyJP72FMOhRSIwM9LRsIH2sfoonmvtPb71TjQc5QNMWFv33FiQTizl2jahnEyWrOQ6i89g/3AahqGph4GQZkb2XZpIKedisk/DNefSWf/G5zt7LnESz077X9DIU0ppZW5Is0iyftgTiN/JcW3cmqZpe5pqfgDmyH4kN6LrbA67IM5khJzXKxeUmZVAedaQ0Y3ujbkxBPdU7qGPDIImLs5LXQv2SVA0cHMensZ12pg/rbeiw7yxEpXwxZXoOIbssP3eF37j4vgJ+ledecdh0vBO6+nF8eE4Op9NJgte2wTmi53o+E1eubHTw+nX9caqCUSlqjADXW3RH2OwtUhW9hvFySj79xbgCdc+GrBMp/HeY78fa/aXPv5+3J93ujd3Hf7av33teuhC3D+MSYFU6wWFWNq0G17vHce1b67HmLbXjcmVCWKNQgzLwHp9+HZc/8oL8S3XKes1DDCPoB9fuh3jrUm+s+6sbmdSVdZrxlsTm33d0+vFbWtlPdqB7zrhezdXWRvfQZrsFMkBcgmNe3H97sr8WBNK5pS2Z43Yqs4V2ARIgyVJQ6UNqMNJ2rKSM5jYtr4ChZncjqa0i42LKdJz3t8+Z0CeoHopvrUbq9X1+flOnr9BfMthIf/9f//fp0996lPpD/yBP5CuXr2avvu7vzv91b/6Vy/+/a233koPHz5MP/zDP3zx2+bmZvq+7/u+9Iu/+Ivf6scpo4wyyiijjN90lGNaGWWUUUYZv52iHNfKKKOMMsr4zca3HBby1a9+Nf3lv/yX00/8xE+kP/2n/3T65V/+5fRv/9v/dmo2m+nHf/zH08OHM17C7u5u9ne7u7sX//a10e/3U78fWdPj49nuzLQ6332S2ihVZUN6MrvqbHhsvlksAm1MmwulenaCpZ1q9V0t3mGrg8STjjbGIGGCAYswd00UjPZ9suq3ioU2LY/JHBWhwLtoOp9XmO1Es4aDYtHxKTS1/g2eBRRh5y2MHtitroBqqgCB8Tk1N5GuPd54tmyOPgZisl+cIxclWQUhKC3czVLZ11JKRWdKlRnTtDJR/PUom5O7s++nwHzCiGWjVbwTMKZurGBPLzz94TtwGpucvxU7judnsctR4xypGsuithPt8d6/OCvj6RKIuW1ijd3G2hbwdHeOr8QziqIZu2OFGYtlna5xfem2InGFWbF7s7hTVgeom8NNdn+oP4ndncEO9Wq4pL+Q7ms7Z4dSZOQKaF0RF+fX4zqdh89S6ERXi4YWBWtfdP48352yU+ZAGl6in2kgC6H5R2/eF0y6H3xX67dafDvGtJSWj2uN09kYJYotQ/eBxln0oxm9lTqSsT8dd/hGGb1+CdW+Hyym1IEGKHpJ6m29t6Tu01QXtOHNt6DsYjCkaciE4+ZxnH/y3LOIrZTyMvK9e1Cux83i8V7UnQhL294QBOICmdTfLKaF+h7+LqpTenCGNvV8xsys3YKetK2K1jh/zIvIXAA1WZuPlUPQISONcUDN+R2zegVCr/NEVGcx68H5x2AvKtM+SHXRDOfD+Agb8NHfP9tKXxsnB/HArXU+qkySLmwF2SDOkQQVDJxfIrci60NCDH8r6k4UXxcEXhE1/tGn4p07ASRK7YP4vse3QW11oWhTJzMZD/sLGZs8b60POgvksH3K6vvxDEcv+gxxzqLvyOQLQKdKPc76PFCMXYwSO/dAtFzieWWmyESibWke0wJRawjAOAkm54X5WfNwfosPrypHSuk7u1ZbxJQ5jgyjCv2ACL1MqgbGTAeU0ulLnONEHTpxYr6azd0KqozrOSnJmUmiDDHRPcznZF0MkPGpMNeW7itqLNHX9mmgnz8OV6tPbIYxyukoGldvDte/A3JwvUqDI0QjfvY4OqiF8cfXhqjDM+i2rj22V+NvRSx2eVcRes0682rK4MnTGfxew8YNUJqiJB+8HzTgqy9E3Wwyjtx7GOfcvBaTmNrlw4vjtUbUsSbvOoJur0GIz6uZR/L95s/p9Y6RmGrz/of9uPYJFG1RmruXYtB+Zy8mZiIEW1yzcyM6Ur/Hnc0og70erC/mDdKcfdeVzuw7iCqd0tw6vP9JFwmviddjrcQ9fVfbRws2nDM3pQ1sW/U3Y+I1fIk15Rdnk8Pay1FPR2e0cy5eJzcwpnPRcDYtQSZmJpOGeQX7KPIvvevMLUBEp7Nn0aftlSgvjVOcC2ZoSJ5RJmFtjkysZJ3o149veQJxMpmkT33qU+mnf/qnU0opffd3f3f6/Oc/n/6L/+K/SD/+4z/+m7rmz/zMz6Q/+2f/7DO/TzvjNO2MM63DKS+vS+kUOuoYSOjT7ynOEk3goF8smtUlk76A5peJLseDwW6x27HnqCPoRzYawF/HLRrXI7QpvJcJwrkeYB2KjbqH401WYBUqKjDegW5mVHgTC1Ih1QPq7ZKIRHtNHTr74OqS5E2mVTkvM3UAnPyvvYXOw0tMiCneOvcZXOE+JhnRp5yQgNJl8ewWlNUn0jiLG+Ro/p10i9rcKh64jSYJPjt7B/Ert2JwcNA4Z3HRQLulg16Uei0mK+1YxwcMCov6TGUWmq0zlFD8w6MYtBpoOQrFPztrFZ6jpoQLwkzTU5axWpVoDTqJrRY4BU+td/y79c02nPUhtL3zO0ySoMpN1szY8Lycc34byLu6oCTwMvr8/Jwqi2OlDMaWnf2PZeSiGWr1xE0GKRkmrdR2mw/olfGHl+/17RjTUlo+rlVH01nSXd0mujeTiYvvl212qLTRWkJ/LGbgZ5sdXiej8qOlNkA7TB1B64AUYq+zcFY2KWOyUXqkz9U6YoK7ovt3nCN9tnXMPID7S53OHJa9DgkdEyCWjbptRf9usqbGt5MGjdxS7GSklGokOZS6sL21DuO4Zz3QmRh30gEL9O71Z/uCyhLpkEyTksRjpgtYZczOEo48C7qKfSQU1t50nIpM0uhWFJqLrbfPInt0yoLs6GQ2KXYyn9EPmfM099j8uRrXVq7CZJj1KrHhK205kxPwu1InvE6m78f5+6/PnnkZ3XhIu2nvx4c/uqs+Abe3C+Z3acOZ2/uVuI4SatbteleHaGQs9qC2za+z8+Uo3/1X0bjk2mqE+izNo+K+0LZqctUyGy8Zm05vu5EXvzdOuFfTApz9vkhyjv22H8L4jq7V1kdp2hllc8EaCfjBfsw5L/8y+sv/LBphSzS268gzZIt2Nusz3UNABU10CgdzSR1dndNK1FnXXt6/z/pvbRUKLv3P8J3Y0VKjXrptD7qm2nqraF3cXol5/RtnYQnfJuu905itIT5/cvPit93tSOTuj9xdi/j1J6E/cfQkzlm7FGuSaxtxnRV0+ZbRmfvM95XOmLJRuEKyyfXB4luaDFN3saueHtTx9/YiUXiN925Bez08j47UhNWb5zGmZK7R3Kvy5eiwDzZwOGajy3q40CB8cSs6KN2hj86j7neP4/jatcOL493VZ/UHU0pptVPcCT3di+s/fyPu+9ab8Y2vrMazPzmO7729GnVv7zje9dJGjMMLCnZf7ULahMlGy2J0uoR+3dGlvPCUNEAnf3snnqVXQ8uQ3EpfHwnWNhca90s2MKr4HYyvxnPVH0S/MEHLtUr/k8kZqNHMRkj9IROE59CEpY+qI6U2xnujQj1fnI+iR9ZHKXvm+2WbOKwFL3IJtQ++VvuW76Fdv349vf7669lvH/nIR9K7776bUkrp2rVZBX706FF2zqNHjy7+7WvjM5/5TDo6Orr477333vtWP3YZZZRRRhllPBPfjjEtpXJcK6OMMsoo459MlGu1Msooo4wyfrPxLUcg/uAP/mD60pe+lP325S9/Od25cyelNBPpvXbtWvqFX/iF9F3f9V0ppRnM/e///b+f/tAf+kOF12y1WqnVaj3ze/WslqqTWpoIJ2VHUupmZuzRLkYMSvnLRDLdhVzEGUUHQq8GZHq6D3pqNzLNoqRGPSCnGZJqUvi7Aq6jGyAG2VXf+rW45tGnIjt+sduuCP82iCIRZmu8kwKgUDSXRQ+3z7Flg0tx7wa7eaIBcbeVKpOhv/zeC8giphq1J7FTcPIxtpwV2RalAzrV+4jIyhAlXOf0heLy8P1ERBaazUhlA0F7eA8+DzsYQtLPzqOOKTirY1WHnbfxuHjPQIc0d3FG0DOkaojcGL84u/6EstMd2vAZRRRmVADKqN4sLl9FabNd51HxN87cskEs1xGUHS92pjeoM6ISpdrrsE5bsf6OtnhGq8DOEjqvu3b2OdKvRRitCVUSUjb7nypO4xPh9yJhKN8xVIDme5jOKGZPOYpGHEL/q4Lwns7r7fRD7ML87RjTUlo+rp1fqaRaq5LT/ABFNPeg8z2dHYs6EjElZc/I6Iz8vhSZyO/HzxdTdUUGVURh8R6DrTheOLtm1GPQWBnSiY32Ho7QGYrvkPOB4h3fifNboVGeoZ0qy4Y1+32arc/cOpwVwgBToRqFKoVZRJ/v5LtK49x6g/GZvu38OshPGIaOWV3mFqLWB/YhopHnyH4RgtYBzSUyxDFl0aR8m6dQzW+DTMwkFHjeXR+M6/z9QEc8/Fjc+CFoEZFElbdnhVwBJZA5w8tSkbJLf2mf53eXbqtkiW0uk3bh+isP+Fs+wulNJWWe/dv1d0E7bXlPft8EDb4EuduA3GC70aBIGprP7nfN0cVOuCPsj1bvz57zySeKZV0sL9GIi74tpZR6OzAa7E8CbJQjEzUIXtKGlcjRvjJztBbeMY/FN5p+Y6WX39LxnVyrVeqTVGlMMpqniC0ZJXvfzXyK+ckIel4f596lwZpIc5NJDdQxRif1+Tx5BHOj9U78++gV+mJpfqw9nF9n81L7GcwNnPc6Hz5DquFkGJVZqvKvP4gk7p3LASP+e28/n1JK6fe8+OWL394fBNX1gEHoJrbk33stkr3nl+M+v/YgaNMnuC23azBjeNcHj7YujkWlbV5l3YJ8kkjCY1hJlTnr67AdvylncbLHZIGorsWA9PQkzpHOfPw0fh9uxvdegYnVPYoy6Hwhnrf/8ejs7z/Zuji+vB3vdwyq8PyNWWe7+l0x4J+D3NPMxHKUwrzdic778VmMh9KWh7QtUYcy0JRsUg7k8nog+gbISUkt1vjlyRzhmEmtMcfvwmKrt0EXtuz46d/Pi9uziEyl6jLJqyUMtMS9MmOUheyZ77kHwxCTNd9/BBqxTVu13Ke0/wnrxZpO7TdAVfdECRYj/2r0LxVQjYs1lRTuGpJmo2rxPMsc1aRt2c2Pl1GvC+JbnkD843/8j6cf+IEfSD/90z+d/uV/+V9Ov/RLv5T+yl/5K+mv/JW/klJKqVKppD/2x/5Y+qmf+qn08ssvp7t376af/MmfTDdu3Ei/7/f9vm/qXpPOJKXOJHMAbT5VTwZKzKsk0qQoQPHKhO6yBOHc7UbHHCVvjqgEV0y2xT1HPEvG2adBV7EMHwHxlpM+YiIsdH/EYHn8MhWRpN1gkSw0gaDDTwM4MpV/AhTWhjCijKo01kxDjoGztceiB403KQWZ23FGtSxO3jTnVKMBydSqLn2j4u/r89b24j1a90gOUo7mn0yuqrkg9NkFltT3zGV6/k5SmAd0Rp0rMWioZ3VyiEsyWjBOXlbRi9jocE47fn+8Hyvo3oMYUNvXYzCptJ0oAQlHS3HhTpVJLtDR6fDcYkJ4htuyNImzo1iltXmP3hNW35S7C8KKdNsseVJMI5fmvNCAGKupSvuZck/ruDTozKGSLIIL8RGUxyr3mmTJdpLw1lvq/mQn6vzUPmV+vtTCZRoYJn1N8vWvM+hL88bNOWPE0VbValtoiEw+xC7M38kxLaXZIn7aSIm5etr8avFieqFRl1FwlyQQdNHts/BefUgy40YxfdWEmQkxEy13/nZU/offF39sInRCEmqxEO+hY5bpijlOHXIN6LC2K3UaTehkkXVScdgBZOPzmKxwQ8vf19+Z/Z+DV8kuEWPG8kzLkgSmLoA+Y287Cjhzol3itO04WWeT5ZwJfdZfncgZn1/b72VCaQlFfPVhsRaftNdMZ08pGPs/9BOVojm9y98yL8k2iD8fhTO4Nn9v+kSvV9Hllf66cVqclDWptYwSnLU/yqwtrdYxwIm75eq9CuLa//fw4vj+79q6OL78OXSQttRMJEGLlECmv+nmFt+ptV/8u++6zHnd6y+kAjL6t+WoMskR8gi0G+u46jr+rX1dP9id+Uaij0Cd2PxKnHT8YpyT0as3ZucrAfRhju/kuFapTFOlMk1j1il9JxCZdnyxbI56peMlOl3ZPKhAkmb2D/G3rc1nKaBjpAH6z/PvXvsRG6w4o3a/sHVxPLzCHAqHVbvrzAW1WpysMWn41YMY5JQvUrvvd9x5J6WU0q8fRIJx9QprRRrTEYP8gEb+xb1oQHcvx8RBJ2GTnIe9GPvUF3y4z24YMQaM0CUZXIXe2XxhRtvtvxsDZfc6HbYdKvWq8ZVYyyjt47pGIMfgJO5/BUryGYnw85ejfDdWoyMz4ddAk9HvV7szu+8xEzrXc6e8f7bGYa19QBJ1/42oA2rvNu7Esy/T32tvsJ6CLn5CQlcn8wYbjz7nItmduZ6z/tyAYixNvwM1X43iOhTm7sP4fmrtj6txr5P9+FulnGropE7QHVVubVFvKnyD6ZXi3dzJiTulrKFoq2O1PVmv9qFcT9AubG4jJ+PGJjrD40sMbCfFtO9FglT/gh4SZearfKfqkrXgApxmsvUbxbd8VffpT386/a2/9bfSZz7zmfTn/tyfS3fv3k0/+7M/m37sx37s4pw/+Sf/ZDo7O0t/8A/+wXR4eJh+6Id+KP38z/98arfbX+fKZZRRRhlllPGdjXJMK6OMMsoo47dTlONaGWWUUUYZv9moTKfT4q2c38JxfHycNjc3062//O+naqed2m+RwX8hMsB1dolG15agddzRNmnv8XwnoHIE3VjHvmWuNSLxQF7V7gOLZ5cq5zEVZ4FFJtXvxo6DAqNTnXrcpVmghKSGKQwKbTJzZzaRjelDg78dmjH3vTWMWHEXIA7dDcqMS0Bn1hQkRox3gT7VsKLOPUU0th/H773nQSwesFMgqmHkjj3lAVIs20qXHiwcWfi0YMTFDtOjmIw1bsc3ld7QAbovxbcFHFkx3hFIxkubsRvkLlKb3aXegF0i7qVovdD2k27cq/dwthtUgw7c4hrd0/heG5jEnH4ZGNTN2JmaPI5rZ2ZG9WJEqvRdadY16x7fbFotrtuL7zFmV6iBC9fq+3Hy4ceL+UuZEYkO4Ihx+4yiaduPi01Jxh1ow7sgqdm1y0wCFjvv9iHNJeWIO/xUR3PZhOzkWx6dB6A2XseA4PjZ/nXS66W3/v0/nY6OjtLGRvGu9D/tsRjXXvsjP51qrXaG9MkMBUDxNU9mH6p7hR1G6XiqPYBgy1CKnDNesi4UPaTRg0hG2FAZrTUzRlFtYLHR7BAsJZq/E1GYubkKKqAJSP3t7YBc4RypwqsPosLraizl2fA6CxRbD+N7kWcaX2RlzTVGsLE0tZDSLapr7V4879k1kHOfKIZeyiJQykME4uK75oY5PC91QxOVzLmbupc5YRPdq8wPNLtQTsa+UybgDZwTMV4QHX4xrjotY0xxvqaZ2zL3bb+HqNxl7tr21xrESQPO2hDI2RXQwOM5OyaTGxBltxXH0vetJxk6lVBKoPM4jkXfrr0HepH+ZetN2BC4oI+XoGgXCGT7hC4IwVWo3Zav52fPLrNgSd813GTMZF6bMWsUkIfFZH9VPwcVMmdjLL7puNdLb/50OaZ9vViMac//tZ9M1ZV2mj6m875MI3iKwQbMCudTE92OQVePMbSr45Q8htHl3DRH5sTh4l6i41ybuN6ZvhADz/hRdPD1a9H/DumfdJC2P+vgoCqD6PpWdBY7oLY+9+D6xfEWZhftRnS8B2ezRtTEjPCV7SdxLoYra1AL3u9uXRz3MCuRMlulwHTIPduLhnv5Rjz7/l78bQd01gj3XhGAjYdx3PzI7DqjX4sGr5vuhPWI61znxYMl5lmi+9ZhU+kgfdqPOnlwoLYKl8mYXnH89CjOX9SP7RdjgnTGOmzE2mtnM9Z/rrH81g/vx6SrAV1berfv0YXm7DUbSyjdG5ejbou0OwWluJjIrYLG1Ozm4ASWHBTmPu86yuQM4m9Fb2qoKW15oEGISPL1KKeFmVpKuUFJdc4YbT4X79k9jHdrgdIUyVkB2Vp/Peq4qL9VTJRkCiqFVUdSbPIgzpnSR638ejzP2ev0kxpJzXMlmRHoHn2UxjCMe9VbUTeUtunOaeST81565//6f/9A49qHV5iqjDLKKKOMMsooo4wyyiijjDLKKKOMMsr4tseHV5gqpbkmRi0NttTcY8cKTZ08c6tqM9dTjwK9t0WGN9MCgzPf+EJkukcfjay2BikTdsnSDTLK7oaxtaEu3/gy6DN1mNRZALk37Lszw/nzXTt576MNzhUhqA6c5iP8PkBUtIo+yZTteJFffpup30PUlno8IkVFqYDmWoiALgR3Z7+JVItDkSvuRomCUMutAhJt5REC9i9xfc6ZKna6RH8l03zqzh9oi+9LuQw5HrBzs4JQah/0h8Yp7pw8PYhdwDZ/W2d3STRiTdSqz84rdfejzq/OTV0Uwh1PivcmNH1xJ2SIQLamRSL0KqIE1orRrJnxg2LoIG1Ek2ZmJXOkZGU7vseVz8a/P/jn0LERtUqdybS2liAdM3MetDnUbZouaRNN+iV356proEUWwuDUx8zEhLLuPEH4uLakL1AThM908hr359tkBkxzNGL2PmV83bj+v56kem2YHv+O0P4RMSTiq/Nk8X/Y2e2ImuHCovtE630FVAHoOzXs1DczMq1B0dVKyuhfARBj8R6iGDV6MGzL1sEG959yz8EG/ShIODXNRMtp+DHYRANrK84Rjec3WKCmHF88bh+AbrxK+S5B8YnSFA1oGWigMWkWjzUiNDIGxBOMrHiGBfJqGdr1lHnWFOG8NYxWz27GsSjMTI/VvoCXXXkfzern6H/UHLZw6N/aBaiBwR6VH+Oqxj126SlfNSkz4xRRq57j+CJajoEyqyfLDILUYTxH63SuHbjyuFj/1HlLZiCi6RXPa933G4uQtQ13qate//Q68xLQgNYVy29xfY1bDNuYbTVDVfpOlOPG24x7l3nenmMW6KRjNF47zFlBa7Sf0n9qBjXXPlwgScfPyueVsSRqzVGqNUdpcp35tdrurKcm58XL0qrzGVlLHGvM0q0wH5WZArNJU5faHN4rQ629A6IQ1GPN+RxIyokspCXzP80mZBn1M6YSGn2g9TQ1bG5G5/Leg4Axv3BzhjZ0Dj6ho3N+/8XjqxfHGqSoj7fRRkOdaz6+j+EJ7WfvSXQ6W5diPXxyGtcX+dR+J77T4OUo7/pcU/Ds0oS/4xuINMScUSTe4El0bq3d6GjXQAseghYU5SYitA1SNNOjfxQd1upzcc5lWF+Tjdl9RYkakChSjTojQlBUngg231XTtM2VOP/Jk0CRNVcZB+vF61WvswaibnQav1+6fvzMc2nWMgL52QQVeA5ar5OVKc9CWzlGD38NvX+NS8aY1Z43ivuIlU2eoTqrh33XnIQagUPa2/iKxq+apZAb4P1qrWdzSCnlZZO2owwa+DKcfUS4viY49CkLhPU6+ZBLMlrjUEOZrA+hHY7nzNVJ9xsb5S7iQ51AbBzUUq1bS4PLfFgoeY1DzDmAcI6v8nFMtinuXYByn1yi4VLwJg39ILqG1Wi4ilRmgxnJJd3fxiYcSFZYEazEGpdImV00qIwObDLVa1AWGq1kVWvDRB4TA543Sw5KhSRBOtqxobHogUI8oswc1Bfv1HdQxujBBNFolWdEKFnq1NobOL1txaOf3+TNNWaB0m1yMDNL0WV6GwrqvK507wPz34lBTsqwyUHdxzS1sV41cXrrH0OZp4PtIW6r0G2NxOLmSnTaT78UHL2V27HyXEwqnPSYCJV6Ir2+jUnM2MHS1QKdYya2oJHOg3i/Aa7i0yL39JRS44TkwrpZldnza2b04AehowHFH9eKzVVa9+P9BhgqTa0bmTsfz7ilUwVtEddo60GWHNeoZu4cqAB4jWuYiOhdjWdvQD0emMSlrfi3WVJQwyPa+XhzVgaTJW7aZTwb9//Z9VRrtbPEgqYZJjH2X5vVN1NI0noz46hR8e9Hd4vpz97HJEafBFuVpIT9ZXsfEwwSESb4L/36rE483SqmGGfUVY6vfDYe8vh5pDvcLKMpmfzoQReVdtrbpr9a5sDLs5kQ8zpFz27S0Oc6x6gjo2KbIKV8N78aD3P0Iv0oibqelBsWOtK6RvXoL4frLEzOF79B7Xw7yqVx/Oy5KaV0FiadWVmbGJYCn8nGGFKn2fAZ0hdNNKbKzKDo0+dyLpkhD/3vmHlAE9O0LDG/xAHYb22S3PeTqmybyPblfDaNsFeZA87rSg/zkzYO7Gc3issxozDzPUwUWsdNbG5/KR7m4GUSGl6HzYQs2YwBSvsQV93Xa888l/U6k1awjfmM3DOXOShO1poYt7AzsIGOzIxxNTcxvNe82SykD8aawpTxdaNZn6RafZz6LOqz5J1tmTXRUtkoQQ2sPfokP9wENSk4Po5zqpg0TB/ME1ysa0wW2W2NH5CYuhWVWbkezR0q6yaP2KAaFm/6nw2guNKRCQCQBnz5UlT4d5/OBrlXdkObYLLMVAMn5VM6KBObNRrckAZvQnd7m4QZ91prRfmanLuyFmX25LtImtGPX6zB+Y4dXJJ1IL52KTpd3Yu3bsfvGX2W+2gUkrtoXxxmbtImAo+Zv0sPXse4sjecPWcTim+Ha1hGR1zj6np80+Me8lSsAbZ5724vdmhWMdX56PP3L46lo68245yDFei5tEXXgjWBO4tNOtqw9dHGYtJZY7fTp8W092wdCfCq16Jt34v2V0P+avrrMWmtvBIdea0A2DE9ZLDpuP6M+08fRrm7UdDH7KZ+SEKOsb+HW3fdBF6ckppfjvfovRC/V/d5111MewS5zROaE/IR3mec5Zl4P559CCBlsclcGX/wtVpJYS6jjDLKKKOMMsooo4wyyiijjDLKKKOMMpbGhxqBOFqfpElnkioI506q8UqySlbuYz+PIHRtA0HLYfHuw3SeZW9tsqsAqqtK1lcapwgAUViVY3adyGpLMxzcYMdqiR13JgYs7J+dgiq7bY2Hs+P+TXZ5tOx2h3xUvLM7kq5p5vuIHb41dhBBXk7ZSRtBf155M57x/A7Q9gegED4S2XwNY6r1hSU7iD9QaxltWloxqDERgmevsWvJ+4nqFP22EGRNKaWxdG1Or4gyZUelsoCfg2LsNIth7oNpvPPKduysnB+r0M9OHjsOA+rVEPHZOqi/jDLBTt2gFd9g7YXDi+PjAhRkBSHsMYKwGQ2Zb9A7gR8kEm9lyQ7IEkrI4JZ8yTjMdpKyes7vRXTmVvH9qwp6WzdAt4w2qExcp3pS3NVmRhm8X5Wd9wkwd3eGx+8i1IzMwXRz9gzuuncesbv9GoZStgkMmpRwSFSxMYglof4J1GaG/FyUwaREIH7QmNRTqtRT2nqjGGkncm1BG3Tzd+UM9BT01tYhdV0OltRjqYcwQAdroMHVhlYWgjh5HloZu7L+7fGd2UNn1EpRh0toy4evgOwHBSTirSplRCMS6dRcX8RkIf3ga64jdXvRhqVwdq9yLujCjKrMN7PcM9MZnvfxp+K9RWFlNGf6hzqo3wxJI9OCfmy4Mf+d1xdd6HMl0bFMtPweo2XIsmZBn5tSGtFfec3qY5DylivGBP7t4ptV7MeVYRBRzfcdohcuMrPBd21hqNLHcETk3skt5pGSEpZR4GlnrTH9+7ztWgesv5khkVIFtiGKYOVhHHfpQ0TWHt+JB9ZA6PxaHNf5xr7fCNrcMdI44/n4kVHal7RDka1+j+YBv4OMFuG58W58gzNo1v2dYtThpB2/tx7ST4KkPN1gvJtPMxZ1eYnSSxkFcX7WTNVpK01giFWZ12iM6LxJ40XLW/ZD1XUW12/usmY4ZV0ma0fDlAXDTPZMRo+Ov+uDShZ1WOecETIaMt1cV2QoIZBfR+cx6XLOp6nF3nEMSA3kbDbWZu99NsQgk07heBjPu1KPBnEOou+8G+ecYJ4hA2ZlXWozc2oRZKDPVlvxvTXc0PDj6XEMGoePZw392o1o/D6jY9oKiDsRiH4/zSE1RdnYjPt7TanYykYtEIUppVRh/VDjbx/fi8nI2pXZBCAz5PCbMsl4biM6Xb/NQTcmTqvkIRp08NYf60wTevBWByov9UOGgmWmEYnTosW3cU2msVFtI653elY8SRTReIIBqGXT2lIegL4Y+Svbf/9yPEODZxPp25ivbQYN1uKiLrneANap5pcyDGUw9liLVh7EO41vFqMRNf3trINwrJufIM+iVN2iLVIuw6P4pis3A8Ha5Rusvots1VWlrer5/36A+FAnECcr45Q641SReuvEGii6bkyZ6+5lPhTJtkxjbV6hMn0LNS3U6iNRoPPNeBtY/BkJnTadkTTAJe6+0gmnaJa1H+EwfIfEEIuF0dwd0ERllQSfybbM2Qwo/lAqpudDC0pLtA6zBBCNMZvg0an0XqRDir9MUwalBY1EHY3eNd5fOrWdNgmSyQmrUz+xCVqfXbgzlKqaiWHKfZkO5HDRqZFgM3EtVP70IGbTlTU7nRhMpG+YBNQBzkTo+TGOXEyqMg0IaAenJzpZpmfPxyFziP5UFWruVLc9k9QkwLNJo/WHjldNwyl1WEmA4QETu+PiBHcVKkzl+qyTdyPBtp115LhrVngWdal6LEKn6NVIZ24+ifduvhd1uPtJMhQ+wx6Tox3bLkn7q7P6UaGNZRQwBshEPRnumj2iXlM3TDhKmVfH0/e70BH9Jgalf9qjMpn9d3qTRFmfvot2s5iTNkhSnTxXTLnMaHomeqQ22txIIOiaajLPBOKyRKDOrt63MXeQNvHgsKfW2eojtM5YvGVyegwS5ySasiSn118v1iaUrn2+hH69dp8kw/XZOSZiTDSpQ+k5JlaXuS1n2oGEiZBMx5midNHjQgNj2TTaIMk4l3ZQssSkz+ntOB5bZ7w/ZWTSJ0s0rVJ/6VucZ3R3mdCjZ9d67OYW4wET6/Z8Iu4Y6NxtgsOodcak1rJEoedY1kd3izU3M03eJQknk6v13rOJbOuJepeF1Pm0/D1swyZFK9Q96+rVX4n6M9hAT47vrU6hCXyfbSF7ofyFi1Hfz++RSQzw7FlQr/ZfZ16bJbUZs3j2KWN1lT3IScM5Ns+Z0aJTGi9xiS7j2ZiMaikNa5mGl3TGQQua4yPou8hTmaBwA8yFvWNjJvcyKT5foMQisWgzNTm4uhGDV+UJg8pVpGLUl8/WO8yJAC+M2dAfnVYKz3EuVlVXjXcaHMXzdOdrm6NmdNK721F5l9GZd1aKE2kDki+L5GRKKa03473vHwR9dhPH4O6weAAzuZlpNfJOO7uzTmqV+5hAdK2kfqPPrgu0Y8QKa6jmEv29525E53nvYXRud67vxX33Y2JtItRkaWN+/Y1W1J97R1FerrGUjJp04nq6Nqt9fjZoFf5+wu977HyqpyldW2DJjSuHF8c6UUtXrq3Mx9hf27r4rfqxGFR8j8MzRXYJ2orPMtDVGO3CPuP24JjkJyCwxFrbTcUVknML/cTaJg7obGCMWU/qFzERBEIXsvllnv33MGY+R25JvwrWai1ctF13Z47z1NvpVxmst2a/17eZVCNdJpjNdWzvKvdhrdvYn0uN6Fb+DaKkMJdRRhlllFFGGWWUUUYZZZRRRhlllFFGGUvjQw0LqR3XU3VQz3Z2a2yvD+8CsQZmmu1GiT4TjsxOz2JXqU+WWtqy1/BZROW5WzLENEQ4ffUx6CJNDED9ZG6UQldXVcuPQ+nMk/kuX7b/JJJyXJxPdldaE5dsq44ds8YDdpdWQCNC126CmBzx7FOQaJaNLmpVqLfp8ezhervsIoG0qeNgNITmmdEeQBQKnZGeLAJxss63F22pkx/utmpti4pdiL1bH88HxTtNujWdvxvQepFtCn6LVMu+Gd9JKr0C0dIw3B1LT9jluw7acI70a18GNXcJxyx3gtfdUeZZqKcJo5UMcavLKei7dCRtBQ7Uvija+Lm7WQwFWUDXdRvL6Oe4zqXV4u+eGQQAj2pAEaiCgOxPY3duuCm6BOoMCFKd+jJpAxHDl2bfYURb6l+ljttfiSgE8uH9J/Vid8DqHjtcW/Rp9KOrb8zqz7j/wXe1yphFD0RP6wiEHFTE6mhW1kNQfPbXInGk/mXoN36vgyLshmdSbkhBaDJiGxPVKCo3dy+ePfNwCTXYsWkIam1MM8yov5wvIlMUUedJHJ/c5V68n0640zoUqNCkv3DITSnG/IW5QkopTTTVOOQ2lEXzxDE+jg9eBaFMeTRA9GWoTs6R4uJOt1FBXmJC3zydw9OlDy9DTGaTCE3CeJZJq/iczgPkFLbid1HSdeQUlrkHJ3bKp/Vn51o6VCqgb6lY97K5EEOWSDhp6hk9WQfwAJek+smS8ymnMei6w5dAG80f3/ZsWfgsGh55H1GB/p5R8JeYBj3+3vj4Vz8bDffpx5ij6Z3F986Qz/M/9T0yhOK4+Hdp2Top15njZ6L1tAnfI3OEFomvnArfYBkKcvF+iz51CZCrjKIYV2b/aaLCesO54GiLuby0SNkl9lvOYZgPV2G7VK9FhR+dwEaDgTKZM7o0kNTEZYz77Zg1wFIUDojqtCoDhbVMt9gMRnqwBhCykkTaPXoag89kjrDq4J58760YzD/9sa/GferxTsfDaHAi286/Eh3axicepaJoYUQiyu30tFhiyXXFCmYeylN15+93sB+Ncw0U6PmDQBdOr9GW78Xv9avx3V3fWvfGdIzHsKxuYFCiRJZ08M3L0SFrIjIoOJZmLULx8TnGH6wrHp3G75ZLjfXDEdTf7lEcn68gKST6TQPVBxiBQPeX7nt9PQaZBydRx7bn6Mh3X2Gt/yAG07W7MSBa1iJY93CH3sCER+SgVGyZh/U1GE9vx3u0X4zvIeOwB6pxEZljO5MVzZ2yUO6KNnn48TjeoE2216KuioQdKKdC39UXGQ1iubEBtfmqA9uz69jaEmM5jWVH1J8afd1gfu1Jt1hGrShKBGIZZZRRRhlllFFGGWWUUUYZZZRRRhlllLE0PtQIxPH6KE07o0zXbbz2LDIgpZQm7O5kyJ1W8S69+hKLY80S3PVyt9zdM0OxcneavM/4Clv/3l+JqEw3jkw9yKcJyINMn3HBd1djTtH19xEy5TUuxNVTyqFqqyL34jDbydd0BZRU/xo7cuzutB6i4yfKg/KoXAGZuNBeU66QbzAauh2vnh3ZebP2Cijzfu4UTpe8q4YcInAykXt2KBZoS1FrZ+wi9dFprD7UoAQ02x56ntYrjFnU5czQiKAaNeEZUbenHcqdXVxNWtLcQGfQZUcQlEtegbm2pkXU5UqH7+E3EGWiLuh6lMeAnenxFeEUoO56z6I8UkppNN95EkEnsk8E7UQzHNuEQGCQssNu3F/dSneyUgudO9HIN4VoiHakDHiGCz0T2wy6Hgmh8cYJOijqyVFPFP0dsUsmSnrZbvvpS9/8rtY/7VEdplSt5tpoIqWKUDRXPofA+3bUzUyr7yZ1BMRSZnABIL+tDhxIpuSnVLJtiSabqMNca2x+CbvonThee48dZHQPNax4+gl2akF7rT6kLYFiFiXVfhy/a5CikYQIztYRyGEE8re/NDvp4fch1K/5CmOB/Y1jmu+XfYO9uNDJbcb+JQYzK+144Jq7945ZIMkrGlbNX8mxfyAKFgRkE6OJOt/0bDeesR1SURmaVf1E9X/dGdeQbFoHPUgf2UT7R73Hbn9WIMMlpnjOlUQOZuhYdAxFuXmO6EzrsIjTwZb3jWO/mXXMutJZgClsY5qsgMpdprXoM9pfT06L28TWl+Oco5finP1X0FTmeUU+qodoH7V4frVF+1sge/fiu4vANFqHvCvlKNrT/sd+RN3VwfaS+b7f7xj9X1DVi7K8QIGWGogfOOorg1RdqaZRpVgTr6G2n5pf9JFDdZSZcjn3ae1Eg66CVuu/LcoLVCPIq8rDeeNzvno1rjFibaBBkzrvGduGObiGdupxawaxvhr30mSkVYMNtwRVfnknkFePH8+QXRuduN4GbLxNYO0dOqUvHwbSbxv9vZu/882L40O0BjNDP75T1fU4ffDGVlxzxPz96X58m+bqswhL9dnVb2xcjnfqPokOp3MzykJUXqblHY+YTs+Zaz+MDvgpqEr/QF1AzWZEhN7disnTu8dbKaWU9jFCeW0n6AxtzFI20Ht8dBbl0gb9KiJ14pyddZsouk3K/Rwk3vYLMaCrz6i5irG7FhOsBaryylaU9XAj7vPkfSYOoNym1HHXR+pgdtCntJ6M9V9Qp4/1/iompN0+72FdXfQjIBDNyYzOWNstY8kdwhS8HujJ09Oob23mJJm50j5tSP8D2IFNkLP2gbX9Z9e3I/w9xqzLM2PZuvNhNK55xvNF/fkmDC8/1AnEyqCaKrVqjqNUYJ6OXZfg4SUSMwxWa78aH/bkY3HJ6tN5oucGjskYrox2mUkso+opiguc1E7QJIOJpibCmH0qiw1nWGdglgLq+mBRcTLnaRICW88uJlJKqfkUODYLgeo+ySso4poxVCjfjPLIQqDSRwyY5KCVPhMhpjPozB2p7IAaJm7qfPdDvlkF8wqSS+OrPjuJLO6fiZpSfs09TSt4dmi7CvkuOsfM1IZnnFwxkabxBUlOzX4sL3Na3L8OvTyjdEuxMImqoYjJIxdn1+b1iY5Xx+KpNA3bgYOASTsGyDpJVKnFJs8zkxrKQJev4Q5ucG/H357fICk5b7u1totXk3c8Lh15Rl/bss7ovIfzFZMa3yNzL9booGe/4K6IA0T8PJ1TuqvA/LONBGg+A9qH9admf9khiZo5pZL0gMLss7c2Z4UzblBIZXzdaJ7M6pSUvGWJuoXRybhZnBQxaehCOqMkO5uWQqj7tmYpUCczeQspklCITRhJD1x/Z05RetWHiTDJ4LMcvMJYsCRpKaU7c2HWRCFz5uJvSYooGaK7ruPqo98xa2+aLEi/9P7ZM5L88P6W4ymGOI7JJnelurdZeO6uxgN94WHY7tZvxscZPIpFzcXazL6nU7xbNoHa7fNe+kLc/+GnlzjP+zMbFRWcGyv0MyPmE/V2HI+hwR0+jYxfc77YGp6ZpUNW4Ql1Qzq8e17UDU1R/N06bj3RpXi0xHXbZKLf8ux6HG+9Mfvj7uVid+ruMnMezT78fNPi9mS+5Bj39GUJT7+ffYqbHLl50+x/bc/KHfS2ixP2mSGi45uG2yp6ZGZCLBhbSgDF8daX4vj4RTZ/qRNtJA8Wvy+kCsblkPZNh3IsmSkd6x2TBtki2AQedTabd7N51iAB1LxTTG3UaKmyO6vMmQsr1FGNJTOas3JIPLvOthUSQKO1uI5Jw5vrsVORueiiezGiwh/0ohEfnESlvXl9lhjyPTebJNtwQRpOouxMIr3xMJKJ33Pr/XiWWnFyYaNT3BgqO9FJZptYhKYNDZJH0nwXcfZ20F7rNzF92Sq+fyY1ZjJaoAHftXkd527qRotv2eN364rlN2I9ujNPxtZJ/p6PosO+fxgTga3db0wRPz6K7+5zaSZivVpsqKWUMhNPHZalkUu1vn+8wTlxr8f7s9+vYM5ju63xLJolHexDcybBf4ZL8BrU3+PDqNeujdu3476u/U+O450arB2l9o7nA96Qtfv6painPsvKZ+N6kx+I9jloFLcDAUjnPMuVK/ztStRV369DH6Ghiu1mwoZD5dHs+plBJ2UxPSU3cQUJB9albb5pms9zxtUPvjNWUpjLKKOMMsooo4wyyiijjDLKKKOMMsooo4yl8aFGIDaf1lKtXctoCdJIayDkpPPVMI8YI3x+8vHIvLpTNphng5uaS4BSUAC4gS23Ge7MmAHTjnFmihCHU3ZIJuyiVMjCK4aeIS/XitFAFxBntpw7b8ROSP8y0Gggve60D25zbXY2FDHPaLpjkTFLaNkZii7+1l04DVXcfVxk6sdcYpk9fWZ2oQHNc1GOFZClUr0z2re0UxCFg6vsdANNFgUgtLw+3z0aCWPOTFGk7XB8GQTpPrslb7P78Sq7CNLpQNFW2Plbg1Z7/BQoATuevvcU45LGHG49ADWSQaOHxfsUmUHKJmUNxbiOWPXKb8RuzfmnUYGn7rvrpHjwBDTi2S0fgsM51TuDyltRpVJcZUd5CYqwJpp0i50e0ZtS/KmfGbCKuppoW4l+J1GvqvPrT2rFJkDSjaV/KzEwhk6Y1UOlGBSRpw57znjed0004ynj60ZtME21NM06upUnUFnvgNiej1/Tqt8/riVaR6qyFWyFTe/hErqtfcilX49/ePRp0AwgtURziVLy9+FcbiS7jyoejeJjqcpeW+qm1ErfNTNdAE2veYz0VSmrIqIaIKgW97WrWH0AdfxW8bgnqvPy5+LiIixtYx2+kwhHy7QJArE3jvZ853LA3L78VWBureI+ZBGNM2nvxbRwv82jTznexu/OIbrM19rr8fCiOWQO9I+joHagST3djw91dTc+7JM3ZtBd2X6TbWQumPONlyAs3YTPKP5L0HcZEpc6o/GO397542BJfdv7yJz5ouHIErSw52RGRETWPiiDZfIz219CQkA0sEhDVWycylJmq3MZhe6VYgSk7bkNTd6+axka28gQkxS239hyOnqp2JjFdul3WvRvCwqzw3IZXz/Gjztp2mmnCWsWpVGk5rpu6h/Fx2iBMtNoYXBL+DiSCBhMVFhXtFijuS5bsCWU5xkeYzRxzrWvI2ej6QOmjaN9GsEVTFGYt4no83gNXYgGCMSDAYglDFU+duPBxfH7xzNEmyaMItM7OI9tNaKz+OyjmxfHL+w+vTg+H0UZvbMX2gC3dqKxOu6ICNtqx/UfHkWnU+V7d5Ci0FxlOHl23XD11XiuSkahjnP3DqNDdR1iiHg9mYAyY+14dSeoFv1RdPwi+lZBXrre+NwXbl8cL5hAn7777sVvv/TVOxfHl3eiA5wscWaaTIrXOGvtuH9muklI0a7DqGqSh3j/vZgMicZzTH5wL779wtxok+/bpbPccpx+EAjLGsakSnQZZzzvVLYdOQlZhr3jaGdb0LVFO7p2XTy7eYQB9U45hdOPRf3Zol+w/pxivCNbVIMUaefNFNfxW4o67ME6WwWxWOHZzubMQlkZmQQbLMjs/UF1n0HBX5jOZSa13yA+1AnE8co0TdvTXNeNhjYiGWPCSM29xlOSYLeBLwNdX8y8TEbVMp0OEgI+HwtyqYpqz5kAyhICJEKHPotwVRpOvct7N+l4TVYskhvSKa9DMebclffiebvQPKWdqlMk3bf5Dnp97WnhsVEloTuRhutn5b0nDPqjlbluXSYCxN+pm0KZZhNxZ4J8g5U34j7nrzFQ4HBcRSNFHRA7OzsqHbunW/OHoOwchJrvxn0Gl4pp05UtEnXrutrF+df/n3Gdez8KrDuj9XPNRvH3bt9HJ/EjMcgsHK1r6JfYYSbdvWtL6gCd1qRBgoS6P/xedCFsz9SHgfdCKkC9zhqUahcO/Suzc2onUmLsQ7g27bm1H7/3rjORWkJdl/6dJZqFxVsneNeqGxHSHq3Cc8fePtStLIFoIjjbWIEWfq2YEjKF8lInuTBCiFbd0/G8vk+6H3xQ+qc9eluVVGtVsiRG71JxwibNP8eUhIAJJamC6oJ57f5WHJtgW5YsGWxCjWDxL4VRrcMWenlSchcUeJ1lTTy4kPedMm1jHZbRWDu7QT/KO/m3Ji6WucKa+NJBeeVR/J/uvO+swDUZtYup48uSQac3oL75DZrFx6uPoPxxr+qS7Mr9o5jEZ7Qu+7TK7D387ur5Zd/XJDXnD0gyNo9JPpIkcwxws6/pgpexxIm1C1W1r6WMLRwlMxdCyj2j3e5QjsyL1t+JZz+9Hfdv7fFOtLkmiS8dwDN3ZNptlgCWLk351ebjYGVJ15npabpJyLWbx+gOoimtHmKt59w4/vbobjHl+Pr/Gv/nwQ9EQiOTSOA6C+ryeAnl2vdYfz++7wG6i+oeSv0fI4XTeRTPe36TzTjmM+tvxoOdkXgycWt9VvdzUf8XidJlzvRlPBvT9mT2nzTkdnHSabAXCZ1qpokH8IINMyWAdCwdsbz1nP5DaJGbSCLM+wvpolVAD6MNUQq0DeR/xs7bEmGCgvdeRfNutx0JqxEDW4vK+YBEln3eIMX5veGso/mh6+G2vMYAWmMQ2maA+13PfeXi+GEvGtkbh5G931qNOfjdtdiU+uLR1XgW35V57xDq780r0bAOzuJ7XF2PQbk3T1yq5Wv/3x2Q/GXsqKkD5xSY60jHPZ7G/SsM8t0h679edFiDUzTnpO36nDvRGW7NnYef9uI+O2hWrrXi2wz47ue8X7tRnGhaFj67eQsTkWur0MV3ok83iemW4gaO04v2qtv0EQm7q1ejLre3SJ4z3qZfijo2eM0duzhUJ9r1u47XjTejv6h8KupzBnghz1Kda9m7CTFFu7BxiYGMVjxg3S1lf7RC3/JmTAoEYTymniht5caGMX2Eu/Z1xikBJPPnn7i25FsrH9c/4f35vUdfOJjnpSasib9RlENgGWWUUUYZZZRRRhlllFFGGWWUUUYZZZSxND7UCMTKdP6f7jiV/N8X4c6XFOZsV0m0mrTEhakCCIMJF8/MJaT4Cb8VAfU0ssGN5yJjPn43MvjjHa3myPOCHkhAkEeiMEFYubs8Xps/M6in2nlxDvn8dnGZZugs6baUr2g50QbtB1G+vV1QEMADGnt8G2mUogQxuai/N8vUD3Dcrfit2UEUner3yB1kKVOdBDUIgU48hmreuQdq8wVEZIEYD6WaF20+WI7XQWEA/a7gnDvWCIW6IZT53o/K7eHZoQ2P2fX1G0+vxW7M4OW4Tptd2vN7M5hFdZudNCmr7JroqDZE5HXK+VUd+aQhi5aBKpJRzUUm6iTsbjdIzcotXPvm1x9hSJQhh+1PNnC91aWctqrrm2jkGuYmulzXcF62/Vd8BI1WqIfZ8zQWsLQ4VbROFeFl0bS6e1sPG8Dyh+628Syth7Rb9qUW5gLS5cv4+jGtzv4T3SdKMHMGPpz97+rDaAP7ry0pa+qDiCLRYR6LDNz9lbjp4UuYYcmSL2akZKhD0T0LWmJmXiFYmd919G0dIka+C/oXlKZ/2ziLF89MIpbQL0VSiY7SHOP8KujttcXfFV87c/rVPAOH5cFG/O3qw3i/o+dhEGTPCKX9ufiHDoO1tCtF0s9xvdTgKxWMR8qaaJqUmWBwjmPjcBUEgDNN+mvF7Ds4SItIEhko8iC9zy79i1GwCwF5USNeYwKytfUIRgVU1/NrcY7MCWnvvqvfJqPngkbMEMAiOJ2CMT635gAfabRG7ugdx9tfin84360XnpP97aj4d+uwKMj9j8bEqImh0jnMeK+zcHDPDI+WmDiNW8jP8N62oWUUZp3iazBynA+evAjjRumYJQY3IiVXHs7+d9HnVUoTlQ8ctbVhqq7UUoW5vrRlDSvshzLmBn3CGKmhGjIsIyjPyh613wWR9ZHovMYHzH8W6ylor9MbuMY+wa0XbJau0S2MEJqwavq8n/THNg7LVxnwv3IWiL47nRj8HvejUdRpoMeD6Av/wAufTSml9HeevHTx24/d/KWLYxGIW9iMv9cPpOGj85gI/Oitz18cnwIjFr34j/ZuXBy/tB0048fduI6ow/t7gT67cyWQjH1kN3rz8cs1wIAx7fAfhtFL+6OHF8dSRyfVOO7iQCxbzDqW3o41+MFlnHY3QettBQrz/DTqxHE1ymaA2emT+Rg32IZ2D5rNsW6jjZTU+4Fma9+NMtJUY8zg8eDp1sXx2lo8o2jHvadRf6qYldgWRWee9KC48vv6nGL/zqOoMzsgFI+RD1gDrSdD4slzlDt9cWb+6JyHdaHIz/7zoAGRHJggs5U5c8/RePWHtGcZg9J9j0ChUmf6zC1c2yVyFrXNYvp8C9mWPmhW0aET1nOTp1CkMUOpnc3KQPZRVQkv0Zuw8TrU31OefWGo+83ITX2oE4ij1UmqdibZwrvyHFbx8MirVISpEGCSUU5qTIakOZx0egXdi4EJEpKJTIgd2LJKthsN187RZGYlSxqaHOQ6UlvUfiQpaJJo0XZ1kB1cHT7z77MHiMMqlS+baJlk1emXBJRuy33hyyQ/1UwcUJY176vGGhD1yfPzxkCCr4ZWyhhIr0mnxtP4XQ1EqQ46Qqtt0noKVYbF02DLDBOJOinHJr4WjZ36aCc5eYKGC4k84c0mqSaP4QhtFK/m21A8ek+Bfi+hYUi9aDI5yqjW12ZtTrpxn4E1kSgcpuIEnwnSSZVvxnP5jSt0ziYldZgan6PpJ2ycDQf1birzpKgA9smAFURnCf9QyD/XnhzG3zZxW1eHxMnDmJVtRiNHS8d2NuVzZ213/gzW5QzOPy3+BrpPj7lnlQGviX6QVKNMSyyjg1ay/y3jA0Rl9p+JBReym29FWXfnSbODV+hzOdfkgJTdTNuPIULKXmc//uHh74iLLjTNUlrulKz85jKdwkXirbL0WYolJw5fImEWa5W0+XZc6PCFeAATmJZNjeTHlO7KRKFJD3XjTKBdUBp9Z5KWUxyhpZ+fbZvkiN+7l2m3S8rj8CU28tjoGpJg001RileDDShd2C/upeTGkkSPZeQmXZZQJsGW3MNyDGRDrdumz/liLOSGN+KPz9iMqz0fC9jNFfrXOdVRTbHHJE2HV6FBK6nBnKt6bnLJnRiSxA6xzpd8V+sb2oQmFqWGW94L6r8uwtn8S9otj7L/Os6xS3RPTVR6zTX6ltWHOH8+X3zNTGN1iVPyRVuZFJ/rRsVgbUlSljreUJJgUnx+Jt2AfqIyPdZb5RKyRKt75J38WcZKSZTxdWPcr6VptZZazEull47vxQdu32axfxiTnOqGO0rxkXRtPfOazGF6d+g3nK9tFS/yF6GD7MD5n9M/6qA0WfXplFiSjjpRd5WLrmK3vkuFv9aOfuyrp7Gb8cNXvhDXn/P9/0/Xfj3+rnF4cdxg4dhkgPn0alCer6FdsV6N8j2vQYWkoXz6yruFv0vF1kF6+0Z0ho9JVkqJXfTfj/Zi4H31ZggBP1Hmi3XKBvXhiIRSe4VNtGPWUIJyGFO20J47wbHY763T9oobYCS4Ftpybmip4Xf8BjsfL8UErL1LJ0Z0+83C35utYeE5HdysTXDrmnz0JL7BGWuYVdycM33K0UI6rPBR0vCtuF7z4/EeRyQWm7tRB/oH8bsST67ZRyPncUifAHDIaMlLpMEuzr1m22cdvw+d+RqydifF5a5mZH9IXoFcUFUgFYnYcZv1n+7I9HWDJoOlYK7FhrXSV/y7+rEJsIeJyjq5oPTc7FtXRh9cbqqkMJdRRhlllFFGGWWUUUYZZZRRRhlllFFGGUvjQ41ATJ1xSp1xGrv9CgpKgcoJYrmV03rhOWappfzVT+ci0KPI6I52Re7xdyLlEMTO3EuFICsqLOpIKiQ7JK0vRxb8/CWoiFI3pTnWRR7N/ne4vURkVjSb5iu8x1T0gBBZwQbQalffBAIMBVYYr9TUMUgpxa91R9aIJO3MrpN9r0ZxBt16UuuJ2IFO/ZRdBpGifNdesAsyBIPfuEZmf7zKw7ErMp7X1ZYuZOxaSEtVGHhAXa763aGUN9gZG99HJHiDd6JuNIE++wwTy4l7DZ7gcDWHnOsuN/YbSZOj/lSkJ7O7W4WCrxDs9ISykdamhACwdd3OM/o6iNAuCMDW2jfgJPGtq+xuT3aKHa9te4rfjtjJk44gXWaqe3hHeH3imL7Ltjgv1wwhrPkSyMiqjskNHz5CAV77IlE6Y56xDuJ0tDsX5u1+/Z3+MiIqoxltXUSNqJjT6xqRzP43M1Yp1mVOYxCCKxiODFdp1xgUnF+zrcbv/U2EuO/FP+x/NM5pHRbTXTWVWDy7KLutr4p6og8VVSloDFTg8Aj6I1RszRtEQzZBPjVBVZ5dA2GgeYxOu3ybztwh+3wXNIkyF2wEa/riN+scxnGfb9ACbdUDsSi9M6OLQvFqgMBTVD1Dfx0+S1eZ0A9oMuUmvmjTzGhFd18iQ6Rh3jWSIfFmjCn92yDMH8bHP1uBdkS/39wOOOmjo1nhXNmIDzxFNqZ9AP3pTtynwjfLDGCQvGicxO8NEKyDrTgWnWmIUM3atgBH2u751coz5/rtNPjJkAcAWnyua38PmYPXQepTP73O3kejzmjsI4FnQD1wPlE7pY+at/8Bz2Xd7+7GscZcIqYzaQXeWzd06eW+k4yRzPBnM57X76pEhOjQhbt1Jm1TxgeKemdGYRahd3ZI5QFRqEOvgv+Dcx226F8nxY1JdoXz9OZvcN/vjka8cH8WaTXmuNIDoSwbTRQ1jqyasRhnoMOkjh4zQF9Rv4R4ofPk4vgXH929OL52PRro2ZzJcqsRtNcrtegLe3Qi740CnruK89mvHd+6OL7J4LRDp9OiszrWuYmQZn3Yi3Okbj89Aq1GmdXm7LXnrh4U/t3aa/G7tPABKLDrl+PZj7sgy2QtgVpbY32kXIYMHhlEokyPzuP7ba9Hx7RAVVZHXIOxuQLKTQdir9HjndIXQGwyTq5sAHEnLA/X2mdDGE+8n6hDy1VzlYUD+MlRvLNoz3QTVDD13bYqYnPQpG3zPVpXogymS1h9xipruGPYml0Qjo312X3NfYgQrsCyMj9jjMmPnNyPydjmc9EORQA6dzpiUOms2Y8gs+J6VXkv1um9y7PjjnUfh3DzSbLRpv8oJmmNj0c/M5iv+wul1ZZEiUAso4wyyiijjDLKKKOMMsooo4wyyiijjDKWxocagdh41EzVdjMTuRaJl0QGsQOVcePJdmtCMQZ5Nb46+10tnM5X0dfQEAQdMTPK/q3GBRkyiGevaADBrswZYuHuqlVF3Z2x/co59flu3ghtOA0zJmSya0sMOUShZYhJdjbM7Pd2OQcNu6HiyGoEYnBT2UZzz21vEZwLtBxI0j4CtiLP1NnroolSAXFXV1dIbUtRnQLOLBsRXOomqQlnnZjvuqodWHsMsm0XHYQz9Dz5NrX6MnQaz0476LGLWwExMGS3xp2eNujIwf3YOWlej52hBWJRlJ0YUNuY+pjjdZC1j9HlBCFr+SaQl437UccHl9HVWaLjaaXJdmZA+i5Oz3RMQUPq4SIMI6sDoJsVaR9tUMffRTvwRjHqsf4kvvdou1jsako7FtlaPZz9bedRFMCZyCDOnazQh9D2RP/W9tC/WgOxCcpkUEcLb9UK/zX/W8Y3jIU5mGi5OpvLopAWyDxRfOi754YA/N1ZAYoxpRwBJfKpiTai5gpdjEu8l/VURJRowAuTCNBFBy8Xmz5ooiDYQYTQ6U3aYbFcTWZM43VE+okwWr8XD9G7bF8f55zdnJWB3wX55UxHzb/LzFoGGo6AfgMsM6Kclum9iZ45TdFH7r+7dXHc9DsRi+dUr1Q0luitZcY71kPfdfPNON77LlDMoHrsNxZ9WEopja778UEBMed590sBY9u4NUMVPT4KZMB0i7Hj3SiXvkwPdQ8Vb8eQo/M4fve9RVgOqT9qdIqWBeyz1IhoUd5qJ1pnRO6J0N1Ax7AXPgPp6SfRx3wYv5+F/8EF6jGlHLHs+228A+Jhg++ByY51pT3X7hyAoBWlaT2xb1Eb0T5EpGGb8lUbceUpyOjXi/so38m+RnS2aOtFv7A4N5trlPF1YzSop2qtnkbMzdUynzJonR9HxRNVpXGBzI0zUFAyb4T9NFejwXVf4o+PQMXNdcf6XdhOTPqql9VWByX1LmZNr0RnfMo6TGRdl981j7m3EdDzhUlFSim91rkfz8C88/9y9xcvjn/+4GMXx797a6aHqBZhO3NKisMXG9Gh/Xr/5sXx92yEpuEDaAlfPo9OZwco8CFQ5HeOorF+8ko8+5Oz6DDVCBQVt9FhvTFH7j09iUFenchJ5rAR73qKvqHX64HOcq3SWmENRaNWJzHTPQShJ+pw8DA6/tHd+H6He7P3zhhD8eSZpv3kKgYbjOUntIn6q1HuK+hpDkEaqte3sh1taIhpkGYla7+BPuPvClTu8Sn3FXnZmj3n5UsxodLQRS3A4weMw+YjLptvQIMfxOKI3IDMwhX0KUdZ7gEk5aVoi+cHfJv55EzzHHMs6kWf3Iu6v/JcDEj2EY2rcZ+Tr0TdX3shytE+qsqaXTba2jqozTMmpzLvZMnNGXaZ0Sho6NWNYipEfw1mj4zdBauu98EHtm97AvE/+A/+g/SZz3wm/dE/+kfTz/7sz6aUUur1eulP/Ik/kf7m3/ybqd/vpx/5kR9Jf+kv/aW0u7v79S/2NTHcHs1otyRuqofFcN3qPhQeJpNVFvwiN+sHfLQ5HLf2dlQCFxkmJDPzE5KJVc1adHY1IUdCx0ozVjhclx0SkboKN3CDnNjhziuXtIDJxpLKotECiYr6RqwoTCwmINnpgCSYDrIkRZtfirLs05F4TjplZikGeE3V/dnzC9GtUwdGW9CySVhl4ukmeqRUQZHKhNSlC5qAMrG5zDl3WlDeJKtrd3DlxqHJhNXkGIHca9GpjZYMynU6ZxOOGp0I3T9jgiOEfTgszgItEt8Z/VpjGN2IXZxiMsTaIzUwwXHA09XKhK4L3vbjKMvedc7RcVE5A95pAeFuQq8f8P5ZolCnYeHhbZNztH8pNxtLNjAwDRozqalCCa7QoKYNJ1O0+fkznOl+q6GKfRFJ/TFUc+n4mds6Mdxkk+MM+ijyDosNgUr32z7UfMfi2zmmpZTS2r1xqjfGqXu5mKZhMm2RWGycF1NwpQ1uvhnnjNokl2PdkDsGa8CCKYiLfJ2PpXS6ODd5bIJp4Urrb8scZ7e+EvfXSdnFUJao1LzCBKmeYiYBd4v7thOSkmlJQnNB23WN5r9rTHP2HBdnKBhhtGLCyESoVGHnH46xmaEvY+bGzfg4vb0oqMElNqNOZ3+9cr+4/mTJaPYorScZrZbocZ1M8sXkKq7Njae8yc248ZXNGO90iLx0LZxKt1qzsexLTyJ7VuXapy87OHPohprvx3zKpLMOxF7Hb2a7XGYkZaJu9V4cd+dSKcsosybeNKs7ve194nfr4YDkp991WZLaZxggyWLifZkjc3+eOLz+v8WNDl7h4W3O0od9Fr7NpBl/cE7y07891KCINr/2Xhyf0I9Yb4eaHvEtF8nK43kCalJbMnf+kMa3c1yrVKapUpmmKoYHJmWkB0+ZewzaGuFxDnPzFRIFLsiVZJIyOiApojHegsKcPRfzv8yITjmfuzF3bpOIyBKRDeoa6682xhc9XHkG7Cr0Gaje6EW5b7Jz9M9sfiXeY56936cBXatFQz2fQillxDgaRyM3afigF8c+45CBZ8DxVjsGsONhMbX5HKqu5h/+7ZcfzDrAdUxR9s/jGfuf27o4Prsbf+d3enwYE4rVJaYoOhYf7UeZKWmkW65/K/jFedHxKQaY8zlw9Uq8hw7dQ+jw0oeNFZ6lx+6kSdQadbWzFdfpvx1l0LwVHZ1mIeffjbvvknVki/Lbmyd1lQnpDopdpWrHrFmgNmdLYdf3tHMTXA3W5prQmDR0A9X5j+11sZ6aMvcRxFMxt7MW56zjJn2+FyfZX1z5SOxoSd02OVBfYnrie5gI7NyIMnYDYTLPBfmemZQJMliCunSqd51emfeFk2UaSAXxbaUw//Iv/3L6L//L/zJ94hOfyH7/43/8j6f/4X/4H9J/+9/+t+nv/J2/k+7fv5/+pX/pX/p2PkoZZZRRRhll/GNFOaaVUUYZZZTx2ynKca2MMsooo4xvJr5tsJDT09P0Yz/2Y+mv/tW/mn7qp37q4vejo6P01/7aX0t/42/8jfS7f/fvTiml9Nf/+l9PH/nIR9Lf+3t/L/3O3/k7P/A9pvVpmtanGYpoSjbfrKsIvdZ7ILigpBx+JLKx46tsZ84NISaXQOiAaGpCNxzugHgDXZQJ8Eqr3WOHbYPM9Coir2THRatJ6ZTao4mJv9fn9xptcR/QSNkO22Ogzho0rLM7hzC5NNlsn51d2tbDeNfeXcqXckpk3qugpiZSuqEpLMpG9KY7zhk6rC5kGvoEOzcJcwy/QQUqq7sSFdFh0ghBSQqVnmBgUZnXydqSHcnBXux0NS9hJy9k2brEDkaH3aI+NAl3Ky5dCcjACZDpRqt451bEmwKxi92u7iG7bpq7uKM7KP498X3HS6j/7r6MeBavOdjifBB9E75ZkvpLv1B9f17eLyK+r8mRNPqVKKPMUMXNG66doClojpPVT56xyjeYSDugfUy2aee9Z9GyoqFb7EjaQAeY2oi61hRFM5isnfEsQ/suYjpvB9NaMYrxwxTfiTEtpZTGnWpKzWpG1RNtJJJo8Xt/g13Qfxh9673/XTEaXBOMrL8UIbgENSY9UbSchgYagYick8J89tysLrX2Qd+B3HNjVSqhIepxgWhMKUcDeH9NXERJZiYfoJEmGkwsQZktEFxXfhWE1WvMCUR7+X6iNL22yDKRlKC9uryHFGZRCAr0H+4Ff3Z6XZofh41Zf3F+k91yTC36O/F7+8k3R+vNzGsOmauAxtY8q38DlgjI9pXL1O0HUUHvbCGoP6fu3dyKAvvqw0AjVhjXHe+dRyrhYIcpWlAzD5F7tonDF4ulAjSbWXkQx9KJF/XQOjBcghyUZm278bh3id/5NmvBVsyRhrRhEb3Z77SP7S85p3p2XnT/h6JiW2ftz0R4Su2WYpyhiDUl0mOjVVyHRV4qy+A7rb0fx1LAF/V/cZ/JBwdq/JaO78S41uwMU22ldsHySCk3vBMJmDC/G0LFbMFMGcAc05hBc4PMOEDU84bmk/ztHNUoEqjFWqMH/VqW05h+0WeZgAAaMI8d7zOfQ+LJublz+RM7HeIxmgh7QPevzgfFNTrd+6PoK6U2e+1fPb59cfylg3CKPDyLc16+EiYuK/Xo0A57cc6Tw2hk5xtRZqtNpJSa0Rd0MekbbcMGm3/79lbMx732+HbUh6s7cY7j3sFpdGje/7yOBBnIOVGH0me3LkVn73pqDJpszDpOlFea17e2TELNSWCUTaHa+1xKTGm8Yb1WnmrH8niBe02K51FN1hsauYicW9CWU0qpOV8XZvWdcVL028oroF+/HB1t5WXMSjBJzeQkdmKg8NlrnNQdUZeeYhhKzqWF5FZ6OK9DN0AgIhFmH6XMwpiyrkP/3tx41jAnpZS6b0X7rF2PSYHfrNOKMuhmiMU4dN1rv9CYU63P9nln1nMjTc3oO1euRF2Wpn9x029iYPu2JRD/rX/r30q/9/f+3vTDP/zD2aD0K7/yK2k4HKYf/uEfvvjttddeS7dv306/+Iu/WDgo9fv91O/jrnM86yCbTxqp2m5k2jm1reKFbKbnUonXlmrhQtmk1iJZmLnhQU/UYFk69fpvULG/NyrQmEmrcGEHTpMc1XWSc+qRtYAvk8jKHCIfxP85f3VehiadcB02yar222it2B3aBKZUzESCRIr24Dm5b0to3FvMsklQ1qBITrd4hgUFEzrsaMMeqJi+O1YHknPGlEGWBDMZ5POapFZ3S/difs7q2LyDq60wsDJoSNk1pLE72RHW3STxd3iKhsgB9Qc9zQGDuHqSUphrV6MOr3fi2RYd3HQrLtE/xuErSzSzMNzDDdjFW4sOnDomnN5kmxT0KSvi5j4UC7TSbGdq5gwX9WqJk3umOarDO9o4JhMrT6GwiDKn/a28B+X6ddq5epa2Cd3CuGiLBHNvoeuzUtwXZnqX1Ec1Ke3UMuqd568Ut7MsQbso6+J5y4cqvpVjWkrLx7WTm5VUa+UFlukRHkNXnOvvmfQ6u04fklEC6c+W6H+Z4JMWaeLaRXg7mKPpFHquz+vYO1oxY/XsuSYWTKBO+X2ZFp+aaUaWHCS5I/U2S8yYfIz1UkaXVENukfR4/L30rbxzluAjkWaC1nNMyvhtJksSnp5jv//4cUxgpeIl9XTpdxcUUDWlh8xnMpbRFs8FpdRv6flq3mWJU2JCctAFln3t/aNYgHzyhcj0nA6j312UwVAdEd1Zef9av1J0SlYuhu3jGC21y78Wv58gHWEy2Dph8q9Lkir73vO/dV6RUXmdfCyhYrcO3JCNc5ZpWGbhHhL18+wWYxDX3Puo5c1lFjLVtD0Tdj67bTijz7NJmGmeO06Oi8tj3KE+Uym3vkyi4TXmybBzB1vIjczH/4u+8LeJCOJ3Yq1Wq01TrTbJZJfqu1EhskUyx71Td3AiTAIO70MnVJ6GJOOgw5xH2idAgoVG3YgEgjTk9mr0TyMSLgreOh9Xl2+kHBN9ahtBWmnAdZJgQzrMBtnz9UZ0qi0a9735wFKrRP8/YT6xWYvG/HQUicf3Trcujleb8Q3bjeJnPB3Ft9looQvYjE7yyV5c/+ZuZOybave14pp75zFR374+qzvnrIlMwjWgNqsXuMmc3u+Xlsij9AFq7NyMZNdhn3plaoBrqls3hb5+/j4Dxa1ZvRn+enR649dCO3DKZpX6jTllnjorkII+T8DSOXqhfernGmXWldZbdZXKvRh7TXztHc2+k9qeftPRYdSN9q2ob5VXD+N3zm/cLF67+l1H6qQO4v26uLk30ex3DbqubuUrs/cYKRE2cQ7D+Inkwj709intmX3dTBtVDw4lrEaCvepxvv3Y+vNxVfUQG5T3cJ7Ibj4uBrC5zh3Tpw2tV2yyXEiN1YrXjUXxbUkg/s2/+TfTr/7qr6Zf/uVffubfHj58mJrNZtra2sp+393dTQ8fPnzm/JRS+pmf+Zn0Z//sn/12PGoZZZRRRhllfN34Vo9pKZXjWhlllFFGGf/kolyrlVFGGWWU8ZuJb3kC8b333kt/9I/+0fQ//U//U2q3iwVUv9n4zGc+k37iJ37i4v8fHx+nW7dupfHKJE3bk4wSmDkfCwlnV3ZwB8QQCLwGdGIFoc9emWWhW+/jDPgyjlzufAKbPX8OCKlmDCCKxkdLsuBC3kEMVTGP0FXYXecqu+rda8+aQGQOvZdEN/Eo0D8zdJgn8YwVstZNsvaje8BrcZiqrsY5ujsZ52uYi4BwmpwowD2na/osvH/9sgi2YopSRjWXQs0uQ/2UekURDHEMdpd8/UvsliDEL0194UCpgGuTcrl1ZT8VxcOj2Flca0MjQBz6SNo7IZT68Ekx9EBKte5R/m7bOnwy241axe1Lb+EJxiIZVW+JOUcChm1dVUQ7M2apFENahtDtk8+AiVFljV2iOSx9ohA3EHbricjFvmZChAY+QsutP+e3dJDgPTRaAkk4BW2pi5qxoD/7jTS4qT1ARHcdhKXtfLW4TepeN6lD76ZfsB1MqvNz+sVl9GGIb8eYltLycW1am6G0NAWwiuuUugAnaD7ibqeIt+wcjVhA/ejsWj8BdQjl0mtKi8wQXDy7tGQHmdHc2EIasveRNul9pDZ6bdFhtjFRYE22i5e5B4srEjXWeVT8PAt0luixLEQvbPm8/ANoMo0pRH51QWSKJmsdxrH0rdVNjLHox+0Lp6D0Rou+QKkG2q3f1zIdrhUjsTS6WnkU1+lC25syBugaeA7yqA4KYhXKjxS6DIE4h5bePwTxIeraudWVKMgxiKXWntC2OLT+dKlvRy8UU4iNiaZXShL0nm3PhvVOg5TsPr4TiDtRec/9f6K8Hnw/CI7dYmr6cLN4TjnRNLDK+TxO84h2Pr9OJZNBKEbSZ2hoSRHSxTWVEfHKNRvHXFMDWlHHK8zpuM6A99YAbyGBM6nNTp5MPtwIxO/kWm04rKbJsJbJ4FQ/gAmNc87Bo+jD2teiY+xp0EabaEBbHL0PBWUbpDPzuwWDZ/w47lPZiQEmoxjLRuEauv4eMC8cwXprvhcVe+V2tJqbK9G5NKtL5sbEPzy6dXF8qRWD+NnoWdTm651wZzpHl6NHR/Tx7dBSGFOQXziMSUF/HO+xjQZAnYb7FmNKG3bVlU40Yg2wxhjinHbj9xtzCYq334z7X70d9xQZ+fgoJjdd1qKyn0424rgFkqt2OeqJ7sETnmvA7+kJbQUEon+rBNpCpmjtE7GeO3oakw/XMs6vR3vcR+YPeQIpxLKlRElub0e5y3BzretaYQOUorEPHXwyf6cJ5kAjEf+db4xi61Fe622MM7nO6VnxpK7FuleacSbpBbpY9+4LBLJGn5zrRMe8TWZyIgNNJCc5mfoNJm9E7dfi23dfYC1Kv+S9Ku9RBshrpXuz381BtO8xz/kk63HmUyP6USWpWnN24HhavK4sim95AvFXfuVX0uPHj9P3fM/3XPw2Ho/T3/27fzf95//5f57+x//xf0yDwSAdHh5mO1uPHj1K165dK7xmq9VKrdazneKkPZlpZ7hYIOmjy6sTyLpQdJJUk21g4zefrVyTOgklOqBxk0QXtMWReojAZXUEqmSTeRJfh0zsuY4DcEaxRUNuOixOqFxootG4q0sgyk7GdJbNVhEctk3EsIgZ00nVSBQuoyx0z+QBR+hcNKC80yLZow4d/2ziRG0/E45T6dRqD0DjHuws6RAp99a7dHx3KVddmOvPTppqT+LZBzzA+Wr8fn0tVtmPq9EBqYmQJSJJ4mYOU7pBmehVs8PBhMHneD8mYcdncVyZ10ldoLNF15XoyFqN4onRyX2yG3ybpom6RzGA1VaRBGCgd8HbusnASb2qkuRX++Li2kxaTVq6WBlLp1ZrBxqw5as2T8VErMnHLPGDtoh1hrbr5Ez9k8UmSpUk+dj3vB6DdQ2t0zH0ctlxy5zCjCZ96sANlUXb/hALRn07xrSUlo9rqTL7b+1BlPXxHSaN/MkioWFSrXkCxRltRKmQ2aJ6SddW/QDzCBNvJrvUMvN5HTMWum1Skk0OuIm3lPZavE+SVu/HsZTEjFLqmlkapY6srDsnW8X3ukiWej2pqK5vuY/0UvUb/TaYXqY2mm1DJZrvcE0ewbF0KiVXpif9SWU+DrqRsPFm9EMnzxcnlKw/WTL6BlREEq5uSI7ZKKk7xjKeDy7HdR6fRlIwoze5aJ3rrWZjDcPL5KvxUUckEOvnzya3U0pp5R6/q6Fnkox624LWf04Z+L3VILVumzRvztdxyuzYJj2un5Ls3y7uKx5/V/HcynmkCXzrge3ptLrEHb5YceUiaWe9bu3FtU3KZrqrRP8y86x9xlKVM55ns7hD/WQsbRwxrlIc0qunJEWn/O1iAnChMbyE5v5hie/kWm3Ya6RxpZFprqv/dbSH++06el1oeU+QzTHh8FRKIJqJOq9nWq5rcb4U4gsH1yzByDye5ETDvqW4WaUVnveENVntIzGw7bRj0LzOzpEab2oZql/44lroa0htvtOZdUBDBp7hsgF0SRwMokO7thJ02zcOYhdrHV2KB+fRcVzdjPNXG1EGJhk3SbRKWVUyaREVwCMjEmYPD+Oe1iXprZMtNCz7rIOkcbLeGbleRSpqMCjegDo9XZJ4d4ydX78Lrdi1gTTg83sMVOvUMedNPHuftWutaV0tfqxlG4kmHAeUk/p+5/vxt9U5IGJIWXQ2ohNVp/EIDc3xuzH2jq+g/9dG1q1W3ObMjxjSjHusEc2VPHkadaU+B1BMyauYE3K9LMVYuvrpk62LYyXmhsg6tcl39LrMZ5Byq56QQKSOnQjyYo4yeRca9bVnJekmn0AWIkXobJ+Qf8jqzLyeTpftgBbEtzyB+Ht+z+9Jn/vc57Lf/rV/7V9Lr732Wvp3/91/N926dSs1Go30C7/wC+n3//7fn1JK6Utf+lJ699130/d///d/qx+njDLKKKOMMn7TUY5pZZRRRhll/HaKclwro4wyyijjNxvf8gTi+vp6+tjHPpb9trq6mi5dunTx+7/xb/wb6Sd+4ifSzs5O2tjYSH/kj/yR9P3f//3ftFtlms7+c3e9ssTgoibaSqQWopuZyw/IvOHcUWj8PE46UqU5lhKTubaKLpKOiwNThd25KcgDobhuLCzD9GT0wyLq5pkIPnZWEM3PctA6Ep5I8+E6H40sfJ+dlvEldvgpjyHZdoEuddFfoAdHoMwqx1C6r86/3z12Vm6CToN2OsQZyt2M5k5xHRgJttJ44x70KspyBFpFSkwiy58K6oTnVtm1EKJviLbYP4kdF1GgA961esDuB7sLosZqmtCA4h3iCr2ySbnqvjVH460CK+/wd8tEcd3pqEHrr1SXoGJ14uaaIt4q0AF0tBYxONwsRkou2uvE3RrRqRoK8Bmb7EAN9op3JDP36SYICmk8S9CO7fdxL3+J9uE3EHX8DTaQpjieSavLqOPUB/s3nQUr9Esas0jJWHzLyTcBi/+tFt/RMS3NEGuVRkpHL7qNHYeiisaD+JtFDDBLyQwYRDrRXWpoIOrP30UX5oZAcdy7AoUQdJZsrI6mJHOjR/tN62PrUEQuKHUo3JaF7yrq0GeU8ixqTPSU52RO2KI8RUfOf9eFWrp4DURj/TCOddzd+UK838kt3o/upL8ERKLJmf1ltmNeiQspxXBhQpZCpkPqsYi0jHba8xn5Zk8ZXw6QnNA85pIwTNwUcSGsYEy1vRUF2K5HZXpyBGoJFMeT89nvUsoMKb4WqrRXaaztQ84HBbr3iTjOEE6g6EQ1ZpIEIg0P41gJgUUdst2KOhStOPU7MXY89z/HTd/74ej3G8gTtFBKsb5LnRYJa1/g8+hYbpteoFVtMxvvxNjx8HcWm91o4uTYP2lADd0CZYakh/M+ZT+G63H+GQuErE4QIm0XbuPdK7PfKhk68cMX38lxrdEapWp7lM3jM9dRQlbN6QkGAiDChsx9ZDAZmQHLTemBieP42/O92YBQAxU0vRmVfSyKcInbvWgr2U8isnY3AqHnu64vQRq2cSo6B+7YZ0Dap8G9eTKDe99dj4YtonG3EUjHcwZNacvHgyj3y+3of1/ZiQG8xrMv+tyU8jm+qMNHuOWegRL0OqdQmxeIfse0M9aWotNcY5x9ITrgFpRPkWV15q6uE2TPHb0XE6AaVPbmjSgPv7FUYQ03FnVsTLmsYuqRMbdYa6+A6NNpVwqzSEPfyXZ2cBB1owYLb8Q3kM3k+l1K+eol3Ibn63dzKa6xdNZ2QaJkSWWJxNJIwzOdj3n284MojwbrXs1fk7mdJxh5Pjcr18ohdYn7THiWtMSwtA67rQ97zzHIcmx+kX7hI/Fdfa7683FN8xBZvycte7FefRxttUY/I+uukTFEl/SXT2ZlOul+8HHt2+bC/PXiP/1P/9NUrVbT7//9vz/1+/30Iz/yI+kv/aW/9E/iUcooo4wyyijjHyvKMa2MMsooo4zfTlGOa2WUUUYZZRTFdySB+L/8L/9L9v/b7Xb6i3/xL6a/+Bf/4j/ehYfVlOrVTEQzraFNqEV1oxgFJiqtskSXb7HTsUJ2V00E0Y3uimTmHP4u6kgBzkOQQWTqfZYa6LtJh3cCveRubSbsvrgV2gqT87he+yG78ejSnHySa5Cc7t1g+/mQLPixGfx4gEEt3m+KJlvtDATnDbQxHoGEuwTKjMdZiLlOKYumwqegI0bqKyoOT3Ze4Vz1WhS3Hd7AQId6VXsndhmm/K1aGmp0ZgY281gFFdhAXEqReHVb3L2yThpjEKmbO8WahjdvxG7l41rAZ7bQGlREd61DW5gjPXrcv0mbVLfk5CTKqMOul4iBmt/M77REt6SNWcCQXeJj9D5Etlb9Hpw/mSMKGiAKRWNOEU13N3oCVFWUjtqM1s/GExDQoDI0VJmAeO2hPSYCeMJ7iNxYaB+6097YQKRYPVYuvfYGO8Shz51ql9AhYrdrCkonHbETuQn6dP4e0yW7Xh/W+LaNaUSGTB4U/744Fn0ncjDTMeQa6vyJmCrSV0wppZWH8f2OXgalnT0Ldb8NOuBxnHP6XByPVmbnr78DEqjJbjX1t7+p0HEcqsHosSGCK9OeW7LR6jOKTFRvLUOEzqu+Wo5qqrVArYnwUqOntwMi7DDO6V7l2UFMNgLEkpV7b7RkSqcM72M0okB5jTbnBagmnnUJNNZwo7iw+5cpbOWS+bkGenHUKoZLV4p/zsagEX3wGlppCzOxTFv5IPqtiowA51+0FRF651fi9yYaj56/9p4PH4ca9djmzq8zpwOdniHi549pPc00P4vmdimlMd/0nX+eeSp1UoMUhfAzUyJBJDzDMq3DrL8qAJzb9vZfL64nMoiy1YnsHAwprPuiueoPEY3HzKyOUeII8x/n0jUM80RPLxCfizF7nJlD/faIb9e41ukMUq1TSScPti5+G3SYL8IC6oocZBAYPIkKtL8umwjd603NLR2cWD+AMpuIZJwzJzRIqEkCYC7Yt86ynpuw5pQRJGLqCLS0yLkWjUZNw3Ua7ruDEJMVuSdi8dVNBtzF/YErH1ZXnvn3lHKzFK/xP7/9ysXxx6+H0cqDXsCed1djQPryk+gwH2LaIdJvrRXf6eAsnkcTmscHs3VIZq4Fsq3NWmkfNHr7lZhUqwOcaeVxnUsb0TF30Gxs3Y1v8Pi9mCRde/5pXIc63EU7sLMa73f+aPZsrSuB4GujoXmC6U1lNX7fXPG9Y/zK2F2ss07QY7y0FQOVZbO5HnVpxJgpm2lrM8pj71F8483do2fOH5LXGIzs09HP3eKetMkmbLuTQ+okfXqFwUGtyBEoQdGLU/r6TVCeXXMC8+uPWdf0D4qZY6N7sUbuMi+0bzG3k+WcWHP2XmKwMC+0E/XNNa3zH7WcB2hVjue5m/rVeE+1LKuMgZU7Ufca1BmRremCOfaNDZwW8U8EgfitimlrkqatSU4VZkVTgV460eFGAw0WvrXL8SEGdDAXQpckEE0oedxncV6xMp2TJFN82cEHccsKz2XCsUplSTg4K85eP9BZkXvNyymDxJJA7N6ig71iplCh87i/SZQp18ko1MKtOV9Kp5RjK/foRWbcPRI5JkgXMGScuIWKLxOTXXkfKsXaEiV+XBmr1A2NZ2zo49vxHiuYf5jU8nEW5jyKLdsJH3SjcZ/gRtVYYkSiM1wD+nOdwcwB+rQZ19xq8Q0Qs99diYHohc1Qh9fVauHMPcK9ZsRq4s2DmPS02gjCKhlAUm3MollKd0XnbCHndubC3/k4DjL2FxVFm+fnZBBv/rm1xSDAKdm1dQNnQ6AKJW9M++t2yPxoaKCQsO9Hcs56kMHr52VmQtl2VWWS7aKre532yX3Se4gn32IVSlQYuEYYd1wMit+EMO8/7VEdzRbgOo8a0o+L6OqZuQJ0w8Z5ccLKpEHmsKzrb5g4ZmECavNLUU9PSUCb+DLRcvTS7H91F27H3DwzFpE+vIyinzkpm7D6ALRlEzOZ6YkG8vodMd+8MImwc7cL0XGXZKLJOSmiJlp8dt+pv0MCSrMvxhqFu8dQjezeFIRfuKdrHtYkUSlltobcwXiFPtcyom7Uu8UyM8p71H8Fc7BPxY33HsciRsdTKdpHbExd3Z797SF0wipmLZmpGWPQ2S0SBzzvWEMOht5V2oTU48EG4zDmJqMl7Tb73rS/i3poEsM8OuW+/Q/j90ffT0VkA3eklTuVoIlh3zJJAOue9dz67Hs0SLQOtub3oS6ZGPcatuFzKP6JMTCjNrNhJ50ukeBuP0B2h3tpPmSd95tl7szz91hsDnyIfcH+iUUGjKAtC7xwPZUZZNJ3b/xydMDHn2ZNQj3ZwgDCPmRlE/MG1xXjZ+cqbrAmpG0EGigxVWdu12R+Nlk3WRPX2WpCs6SyndPgmjSKMedcbUSirF6JRMfhcNYQ3zqNefcPXvrqxfFjdSmIOonVe+dbF8cf2Q0tgy88joZ7dydABwPm/hktG6BBl2SiCauz4/iWV9ai42jNE2Veb2MrvqnJ1ycknRsYGZ5Lk2U+vL4d11EGamuteHJx6bnDi2M36dabbFwdxTdokOzavDlLvJ2eRgc5ahdT8J3Ht2pxja0dk5wAlni/8xrjPfXEOmwCz+Pz43i2resYcbSKNwoXyb/Va1EH958E8KRD0rfBGm7I+lYZAAE9Vb6fbstKd7nOkn7dfRTfoF6QNEwppf7hrK64nptkTtisbdvFa+3pEtksjSvXsgQmMmLkiFqahDpHqxfXCdeCnXfn539SJ3D6s2us83j2zADUMWxevlNBVN8gPtwiHmWUUUYZZZRRRhlllFFGGWWUUUYZZZRRxrc1PtQIxFq3mqrT6kXmNKVcAHy6oThqMcy8trOEjwHKrDVH3YjoMaOtYKkZ6AlIubGZ3hWy+qRwm0CsB+zwK3ya7Y5JxQF52XjELgNi1mlO0xBmm8GFl4GEzLBn9G92BMiYpwyhx44K79dvRqbcnUJ3prqJHWWQa8KXF0Lt/dUlu4ZSgk7jec9f4btjAFFFBFVE6kQjiSUGOpbBdBplJvqrfil2d1bnu3OdJWYp9x4GbH4dA5Nbm4cXx+8exjl3dgK+8/QsPnyPXYknx4HyuLMbiMLHZ/G79AKRfuv1KI8H3YDPbDVnz3Y8ip1Edw1FGj63Hc/+1i/dvjgeX4971qDYpZvsRrWgd4tMpM0fPmR3NYPaxGFFzWIFeOe7QSO+qfTd1hLEn9SMbFfvlB05UKbSZrq2IejJCVMZd+onGOKM6BdEQab5ZuIIeYa6plDUd8W9J1vxHuugewbskrmrl9HnofUn+pfBXGB40v3tRWH+dsa4kVJq5sg1kTlSES9otSCHNPCQQjndA0HRKD5nwN9mBilLEIuiyUQsvvC3Am50/38XF61C9180oY234rfjF4sHoWV0Y9GWq/fjuAvtVDSUCCtNIoaOkzyCKEFRWJf/UTzz/mtzBDaUSMuu7251Rr8uRrZVpE3bhVkGCsgjg9C/XTxHMUY7cbPVN6ECzT9TdQkycwiyTtOQ9beoAwF6yf42Q9/5WPQV/U/GPGCF/n0AknsdUfwVpDw83mnPrvN4P8aCKbIt3lPmQvUpfes24/d+lNFgSzggh7Xi4yF1ojpcMsFybKJ+LGjqVVF5UJ8rXO/J9/A7SKmpRh/MT0TciXT2m9lWRAaLtgQEldd5ZBEWYd3wXOeoXk92Tg3q8cqDeL/T53lXzYHGxX2dyEfD+izrwD7l8COz5xnMy2XSK8e0DxrTaWWGlnKZALpp7Px6CbqvchR14Oh7YxBagWEjSikz4KNNuI7LUKvzNVfFdaNsNdZz7S1QP6DfpsyzTt/YujjeejXQes73ZeocQS0QQebY/omVdy+O3+pHZf47D1+6OP7nb34+pZTSIyjGDQaYTRrfER3zYTeOX78Ug+Pn965dHH/0avzeBCH31aNo3CugxlagBO8dxkRD9Jnr3h5GK9tz+SQRfyfnmLvsBJx4chlUZzsmSKdnUXhr1BPXiDLANIDpYoJxbTs6pnffiA7wALmjpsw+mACL8hBNd3QcqEefRUSaRjMb7ahvq5Rpl7Wd68xNykBkqah8v1OF9aX3rSzJDyzWP64PXafYxiwL1ySu4ZJ9AXJs/QqoVdYt5k18hto2JiKD4nv15+fLoFSe7gwU49XbUcf2+Way3pp8M9eCrvMyU5RVzrGP4vzplOcdPNtHpZRS99asvtWkcHOfDqhnYwDVXlbfghE5WaZRUhAf6gRiutRPaaWSDThS/0zmZdwPqKljdIiqUJ6lCvfOZw2q+iA6o/Eu3HUmpHUqR42J5xhKRZOkRR/twAm6USayrBTZZFN9OCiH/Y/wbNIrF+fT0IXfZgM3g6i/y8F3EVPFuWwMBFnYfwXNiiwBa9IF1yeTImpYSiHuX55rrMlKIslisrYijT3OSFMGDTupGoNDpo2o7g4d39qvxrc8+1T8rtZfjdXAgnZVY2G23YlF1JXLJ/xdvPPVTvwu9Xi/Hx3cazuhYSIUvj8ubvJP69FprtXjeU9HUZa98Vbh3/7akxnXaLXpe/KNcMP0/o2XY1Ce0tlPrwN//wqTqo8wyFBnMnpux2R7HKpHWtWJjN/X5/R8ncdGDGY6AjpoOFG9tB6rsbNOfA/1TM5wH+xRrzs7xS7XJmMXNKqUcvcv+7fhgtZPn+BSR+0YncIccPxmk3Hxwrf/EAfwa1Fvu0xEL/Qmp8VUgDIKoj7T01O6Qt24LGE0X6ibSMt0/kga1NWeY9FucpJmm13TRJoUXxML3vftHyVpyHXOGOMWdM2DjzioMWFdok8nzXOFJODZ9Ti2gz+9DQXqzfgHKdI60RrSxV3TPf04E795GatpKMVlmYZd5mDLkGX5SpWWEtzaL07aZX2eGyEs0tThPbvzrNxInrQ0AUafxLOfx/rywql29h7xjFLpTXA7/1AHt1+n/9mOmx3hbjmBzjYpkEhoszAc1pnDnFPYJneXaPHVobSazFumSZlpIqHnm9Hh1cGuFs/vhhuLZ+Gf3fySJoyL8Mo9Fi4mBKlLRTqqX3t/qenD9eIxwHZmv2SibrHhYJI8kwywTbhRguzPsuRk44jNqkvjwvNtT/YdPo9J1N5usT7kos4vvunUClPG143eoJ5q9UaqsPYa2Lcwp288jPY5ZLPDhLLrBxfqbuyapFH3dLQXDaG1G31If04zzEABjkdZky2WwRmTIGnejkqlE27Crff+aST5mlTIa+1oTMc03P0xu33E/+3u37047s0b1OvroVdYo2Gv0AgOmAjcBpjQIYng+sz1wJ1WdECPnvIeJNKcx5pAU69PXb4DElwLuSXn1zopT7bj941WvJMJs8vo+bkmeXQQg9BHrsck4s29GExNGgq8uH43Jj1q8qo/5/pgQVlvQ2v2nUxurQKSeMwz3rociaw267n3D7cujrdWoB5TP+9sxN8266x9SLbf2YxzHuOofZLiOzWgjC+SaSZf1ZPvIJU1Yn29Sd3X5ToheyZgSsDS+pWob4fvxt9O349yqr0a56jvt7IdZbNImlXfiro2eY0JDVJS4yVSWYJcJrfieY8fxrO0AAsJ4PB790jmuckxJmme7TsWzI/NWSibV0d78mQPej35p6nzg/n8a1JSmMsoo4wyyiijjDLKKKOMMsooo4wyyiijjG9FfLgRiNPZfxWyuwpA6n6bQXER3B7fxBwDcwFpsotd1sYLkd0eHwf6p6YzqpB7LpG5kAoFHhTv7EqznDyJe9WvRVZ5Ai2nwjnVG7GrViXbPHo6203IXMM0aHBXT1SnSJATMu8g+sag6KrAbKVZuxORGc8A0R2ywySKQ+HhTHx5TiuocM8qZToBFVLh20yOi80rdE4aHmpJCuQelKm01vNPgxgSCasIqkixeR16hKjq+Dq7baDAfP/GjjAhDDmAsx9W2MlDqLnI/ORrf++BEhywS/WoG7sr7vgt0IDe313LbZyc33sQsB+pC2PKuobItRSw2ldiZ2x4k7rXKkYdWs91Vs5EcqVgzlGQAxzCda0+wrV6GZ1ZdGFrQ8pE8XetWSczODvn024ylDDGABoXLVzNp5dpexoe8c7uFgttt1ymZ+yGyYhD/sFnt0+rLlCSJd3rg8dkhqCR8iiCS2rhwthCWrOIIumMmpX0L9M2jp5FBaaUI3R6V+jD2KA8fgmEI+6l0pyXoY0W9MDjF7m2CCuccEeroO8OGBc09oB5IRpSWZPuLmMD4/Mw1BRyZ+clJireq78+O6n9SCkVrr1OGXWLx/vMgEKHZcpa1KEIL1GmGZgNJM3qr4PqAQHYv4K8xrzfcMycrjGOgcSTzuxznd4q/l20nt+jso8jPA6Kg8dRIM0rILMZV04OQTqD5D5/b/aC1v0xVGXna03q0jTbeAeZ/i6oJij2otaqsoWkaxOtUAxJIyRXJks2/BdINw1dRCLr+r31BaiQtKcMSUkfktHL+TZZXV1iACPyMaO4U69sK4tyyuodc5hFvUspr/v2cz6jqE7LI4PZ87NoWZ/r+v8Wz3D/nwFdK9r7KM7vLWiSi/F+meRPGc9EpTJNlco0dZ6LD9yFXrq+Ae30Lh+S+U5dyRbmzEPWf8pTZUYEyCA0rkdDcF60QI0NQRH67xXkADLEcyaPQ70GsdXvx7seg74TYSW99MYWzrn1KJuvnEXHfx2U4mePw7XsB7feSCml9AQ9kpu4B/VptDKCbq8EDP+Lx0HT/diVhxfHUpWvtuMbvHwzoOfH/Xi/PkiqjIXD+khjDc85nbNjdBqWPXPUi/LyGs6XnaeLhsyMK5d0wK6J/E7nrFeV9FkFXSeLaW2OKvS5ZCqJBFzIb6SU0sY1ymvIhIK4tFpsrqIB5xZrtYyNxjpEVGO7DiUX6TARnDtz2bFH97cuftu9cVj4jD3u02V9VGWdV2fd3Wr6zRjDRQCSexgBZKxJ4d0qRkE25uvO0W11NEBPQmf2O25txrfpUX80oFm5Et/j/EG04SvPR9t6IloXpGqVMnDuljHA7Hfm7I0OOZ4eruPOj1YwDTIqGKtdlPrwg7uDlQjEMsooo4wyyiijjDLKKKOMMsooo4wyyihjaXyoEYiT80ZK00amJ6MmnfqCVZA2UwwbzOiqGZSZocx/d4NTIcyh6BvOyVCHio2CWKqOiu+f8dDV/uBvG4q2ogcxfRSZ5ynGCLX5Dpq7dKlAOyilfLctrbE7cBmts6exy1FTGFTNRo5FF/r7SLt1dhOTaEQEjKcnoC3nZhNTtOomq6Am1oq1nzKDjSWITGO6RAeu6o4jOyfufLk75vdrbgpbmMXT+5vP/JZSSjW0ot45CxGgJqJB2wjnHg+ijEQU3juM6798ObQ8jgbRVg7O2O4n1Oe4z3UWO61ddlaXGfKsoLN3dowoUxvdCepn607AHUboJKZDUJt+G+rSFCSh5jVqa3YQVl7sUIoKXPYep7xri126Lrs+rc3YAds7DvRiHQ0MNXPGoGKb20DBDFGKomvpr0abs+uLPmmqNQa8WYHj8QkaLtx/IOoRI6JJx8Khv+qgCTRHRk66xUZBZRTEZPafaMAB3kAipRaIHbX6MmMsUIyi4jJtO8ag/qX4vf2EcY1zNr8S19n7JFq26PxWjtjZXC3e0Tx5Yfa/NQwdxiuTwuMJaJL+FgVAFRxuFN9HnTQ1G0+eB2mnPnefsYmxT4RhE6RUf47szExvfJQlGojtJ3GsMYWoJ9GQBn5WmQmOyP7NS9F3nn8aFsPn0ONaYZyal3EDw4opOsuZJibIxN5lxl7G6V6zeOe8cUx9e44x8x20Ya+jzexcgTG8tQVjpG+/NCu0luPre7wz4/1oBYQD/ZZ18uT5+NPhJudYNnwnv18rPA/S4auM/YfFaE6fZ1FOtnd1DCdoYh7xeq2nUlx4duqJ9VOkcWb0whRJU5lJJ957/atxLEpZVPOi72qA2OxfZc7VBj16DTQiSEdDXUIRyHXGJtuN1xEFeXhXxDDzOBD0lvciVt+dPeO4X+IvPmgMnqykaqedNm4Gak7UURO03viIj8p3aYFArIk6ZM4uYmmqMDqIJdkgY3XW50ienZ2oMPtvBGNmSj3tg/RxLbOK7lhmusn8TD20hZFiSrlByHEvjh+DJHzai4b+wkoMZv/77S9dHDfmlX+rEWu1UypylcZ/qRnv+qXTGITurgVceq8fHccLm/H7u6dbF8ei3IxuLfrrGvf1G4i8rBSwtVwva/why2mtHeX49Cied2MDPXU66Xv78exPMJC8vhn1UxRfr8v3dg0OOnJ3OyYF19d0g5rFUQVkJqg8UYxGF0MZ12QDUJ3qElYwqNtdjWc5BBF6xrrQtY1mPgPWi675Hh7EJHRzzirbuFysMSkbTeSnBo4baBgfvbMV17kRdbLLWv/q1ShTy0+2lvOfDdCsj59gqDbPFTQ30Ow3B6FBJuv4/b2oJy2QsDIie+orU74y+fRzyDwlzukvyFuoD1s9cF49O2cdvUnnSrUl9arG3L+9Eu1m/8msn1HL8hvFhzqB2NjupdpKSiMnh7tQC5dAQjPKMx9t43NRWQ+/R9X2WYH39+RxmOiCHuhHE0IvzF2H2k1mbzyjlU+n6EnWWIpF22sYwGRi7nNItH/XpuNV3LMLnVGHtKaQcJIMnf9fNK7uPxMdwOCkuOPNsK8MJk0dsUzmSeeDKjdszJ5TOHROKeD/kKRKOt7SGa29Fd/y7JPxfhWNWVjMmxx0InNGQq5GB6Nj9+LbSOXNvrsGN0x03noSNIKXr8YqdKTrE2W60YxvbNJwtMSow4Hg+D5Obs/Fyiij/r4/O6cKNcSyOAHibdLbdmBb2b2MgDQQ8goJ2gqGJiMWwUbdJNgBEyg6ZycGzfkE1QS7sHlNRrpHcb0x/YyLUwWfK0sEwBUMHpPFsJ1rBjBqFmcU/B6j+bHt3FSfvw8ek/RdZ1NEB+cnUNOhGU57DIq60VFOi2RtZclgVsaz0TyZUWS7LLKl6mWyDPN6Iq3PPaGsy6WLlDaYmXxI98WUpPMwLnrwMagsn48/PnidSdgSzxwTFIv3cLG/84/ienufLE7omIgwaWElb+0xId6Mc05Jaq3cgxKMu21Gv27SFzD80zxSY54sNREj5dMkrkk4acjSYZdRQTVQykxJNMSJw0wqITMtc3+oQE7FRHAdc7Qs6aSBm/ukLPg1J7Osz29pRS3lOX7uY8xS+SqbL9TPRAIxExKf16sBi49EMlqJBZPbJgFzAyHp+yTeB8Xna/LRu1KckNNwZMh8wrYwKWCtwURMXcpIuvgyh2NNUaTpep9MKoHkWYUN2uYBpnckvn2GzKSl9uz1aifVZ/79a5+lh5O6z5VRkpdRlWmfvUvP9pdfe/0a/aEbF05UF+W66JdLF+YPHrXNQaquVFMP+meT+dw5zq912vUqC1zn2iZdHGoazJlNJni+m6Yu/kf3Zh3j8G5UpGyt4ZpFQANzL4EDZ/fI2LM50cIxXprs3ctoHBAHg+iwb6zEHLxBZ/H+IBKdv7R/J6WU/v/s/XmUXVd154HvN89DzZOqNFrybDxgIYiBBAXb8GsgIYshdGLoACExIWmTQJOEEOhuTIf8SHoRcIdOglmZIPk1htVhSBtjQwLGgAeMJ1myNUs116uqN0/398d79+3Pcd1ryWBLqvLZa3n56tZ995757LP397u3XDf8SO9eBjFO+Lv+EBK6hPO96y1xLUsdsT6W66BZp3QRo2GTxhJSZmmo8zMKGpTRrpGKduB8Qutx4LhuoP1I4jfWr23UF/MGVZCSvITQRLlxfZ6U4CrKSEp14bACKep9BX0Ghj3XmEZD2nJZ23ES2aTLMBomQCXOwkhE4yuTaM4h+UkDtGx+l33D+rFtVqvIKs4Mx0wWZGTe6giNmQxx5Ue/Hk6rnWD4Ir0myIXzeSKz7HnNsvvVm1ThdqxTJwI5DNsHEkuShpzdpOO9jHMj539gAaG4EG5upYCs26RiM/s0nV5MRAT7S2NsbSJY9gV1nmh2LUBJRKS8omMsPwDFM/CU/5+GWBeaFStWrFixYsWKFStWrFixYsWKFStWfGVdIxDdJCr0Cjt0EwFdSI8RvfGpA/pM4WpvarO4FmZYi/md2Ih6PxyPIJciJi0zaFCbUR96bUltJooQsHhCWwlHJiyfgTldJFN5Wq3qtX5CxvUdRKHV5tRDUxzUD4XhiVm+SOtq+BsC3v8gCpQIPSPhCLzeYSCcWmhX16NMb2MT8JAQvCIOaE6BiHcfFHcyIQcKj4Q1hB23iFAhLAVJXcJDQOYxOU+3zCl4t2pB9SAkknq/tKj3+5EkZxZevSi8KNML6sWp9qvnhOMzAy+RgViEtyswoY2ziuRDMZS5NbmWaxQQjB+0FwNLh0EPZEBtjj3SQAzaCpDfIaBe2pg3pLwE8vo80X0teIzaw53yOPBcGShJCNGhRBpy3jrw3AZQxjrHAKmkmAcMZxACuqzVBpLIaBuM8+560UKCguAQPPDzQMf2A8XDRDbwvDeH4fUicjcHTz36pslQDN26GuPeytOKE+r8RyRMfIG0XSDaul3DpSoOCiPRPUS2Ea3D9S8+p31XmUBCqTTWTiDqVjfrb1NHvVFFrTgCW88C9ddFUDVBh62nsa8CRUj0Ep3fpBszeVY9T2SiNwKppkBuA8GZOAlEPJJsFLdqOZPH4BXutquRVINJVrjHou+IQjPqRwYJqwFgVGVE/5B9Aui+rUDXYT/i/AsmsOYsgRLc7XujvGRRlFD2ZWNj13pk0B/om8oEkH5EAEK3Wb4E60kBiQw2edPjkkD71KNYg7t6Q4Ahaaocm4Tloi1KZJLoI0QFhvAeIgeJTjXGAZGJaNdqP+Yo2pjt6o7PJvqL1GeWy0DZEUlJPRLJ4qJoX+YQILqX1N8iafKoE5OuxI5hHAId6QFWkfgCKNxE0EL9IrWbIRQM1ZyoSlLjB7SuqcOgfaEeFCZUMhDcpHd3ryPdedCqec8BK2sllmhIKBGU0qIicYII8VJZBI2VAFAgEKkLkjpKfTENSjAR2ExgQeQRUVWVbOcZ0iMbozrYmYigBpRSO8j1DIM9c2o0JJPuDSIhhpHsEBMo5KOPElV4Wf64iIgsAn68I6aJUOIBrdNcSxexF2Q03sISfnuRm+1MRPYHFfU3gMXi8KrCrolgY4LMzQMKMV8s6ziYX1TFJBJbS10o4n1EeE6O6vuOzikCk6GkinH97VBKF7R4DGGHMPaIYOOZiMldSLke26GMrvmSthkRiCuVzuZO2jvpu/xmFdTf/mxBywhkIsfGasP73DRb0DYd71O0HpGBYUy0hYqWnYlZKKR0J6MdBaeGTLEsexFJg/oSWldSotm+bK/ykn5naLSg7we1Oh3W96Qjej0LFKZxjgQyL9INVcB5SEQh7TOZCaWC8+xMZHRhRecQQxVEcSYybAOwa6SQpLOKdclglCFsC2nXrh2LyOxUv7Y1Q4Qx+VAMSVeKOHfHu8ljWkFv5KKXrOtTndMOSLsdMGKBiZGpRxsicFgHZTOLQxJoYkaWrxVSJ1tr3k2DADczbnIUZjvlwKYhjXDdxgnwjECRNjYlxguEptOC4bSFeAm9bGVQJJtY1JowIMSPI1PhpbrwcmCT0s2YaYxJYBoQcTChkQGbIs+1bJsWqL+cDI1ue9PoQ+NugEYkZrymloi+DIAO6yDOHmMwBmBpbfts6FHE3IuDshBAiEOXHmvE/UD78netMV1oqHRw4RtGDA5uoidn8vrMkJ5aZ1Z1k2FMP1JmjXgJuE9Db7vbNGyJ4ZyW5ehxPU20ASVn/BfSAqiAMFvaCqgGPJOQvkbDXgVjm2OSmbYTaNdKsftdHCTLyDTHuSI03tMhwNihoK04pOCnMFexmTDzegsw8xYMycwKyLnYgqLmrk00ujeWQOfzwZ3zYM2YV8w63oLBgYdvKuI0GKe6MVJa5dPflJ7v0kyIOHEx1igaHwwDTHebCPlQEkmlbWS8M5/GoC/WsT4Z4yHpbeRglvQSMvAamYFBd2UcNpfyWNoC5XET5mmZlEiUBbE3je+QKuyTrdagazPbMNb30mZvIxiXemaxdmmwAcfbANUCTdalz4iIRNAHhqGC9FkYUVowJHHulUdByeO6jH0w9RjWExgrq9B/3PiXbFOGDqljDLJvmhhXzAzPjNMNUI/Z7kGEFWljHW8itAuXK2ZWXQUtKIw4tO1Q9xdUQ2BQbiE2LmM9MwYihUbnMDKDs2C1ATho0jhonEA7YUw2MW8YQ400da/vlKYwZjEGHFK7YWyLH0Uf5Gi08x5XTdKpm5yLoC3DscC5TWcC4xq69av2wXm4hBAZsA/7xSJt5BzP+7weeFi/eQwZNqsjCH+A/mP8RGMMY301jPndIVne5Mb19QlQamWNlE+kJJiIS/+WQu/e4tF875q05SbmZ6msekvTxwlJ8EQChiGuD8yOTOMNjYzuPDNi1OPcRuNH60HdKDn3ywybBd2OIRQYS40ZX0+u6uSrIoRUX1rLO4rYdpviSn0djqhevyM+IyIiAyF9dhTXrB+NiaRBpxGAeSisv12GpyQHWvTCqurmO4c0rNIy4u+RwkwhXTOX1He62Xv5Pj+66uiAGsl4vk7BuJSNaFsH4fhguC7GSTwxm+9dbx1TQ+FsDWGdsno2zuFcPV3QZ1pdnX1q3JuiTmMbDWkMMcVyHZoZ7F1nMoi5ibOBG6NQxIz3eP7oTO86zHZCmCtSf9mWI2kdB64BmH3Avx9d0m+2YqgH6jeL8ydzCQSXdU6W+nSRZvZitmUBdHDOG8PJgHNhJtUZ2zT2E2xihCVjzHlssfXm2jOOiEgZobUM8AkPx1gXGN7LeJ5qBoBr7aOgQru6EABFbt1ERCphxJQu4vwHHY02MpfGbdiVTiGWwmzFihUrVqxYsWLFihUrVqxYsWLFihVfWecIxGAHeQbUWGAZdElA5OkBT44iOyHgsilYoZtRNE2X+hpEIPfgqHo2mIiBVuo2spqGBtUjQOhsDAk0SG00UACk3EAItXUIRgx5/7bhIoNArw3lgTbLwNKtzijDY8WAnUxGwbJU4UGMw8NWO65eKscHSUkqZAOe+ST6kggn97fNBbX8j/27/m7mVajrgJaF6AyHQZVJxSTqkJl+maUXNNHstkLvulLjmPCmurgJVRhYmtRqwxNEuDW8svkcEHSAkDOJCRF3SXjk5h9TT9bUJUpTOHREaQphoD0prFO7m4gjNKJjnBnXIkiu0gBCNwrPagleHwMqDq9vFdDrBjNTzcKDhyx4FXiDggtom1GsC6hTMtO5X6rpOG0UEdx7EcjeES0LswnGDuk3ixdinJByTQoNro35DGdtjQmNgMSl57aJzOuB7jg3kqhgjYweRDa4BGjWMW9EBde04IT2GcvieC9RVn4Cqfe3JJhoGWsOETKIDtBDHoVX4DVFltJ23KdjcLvEpBZEY/M7zIIMumT2CWRhBS2ztgVrbRDzBmOm3tdF7mH+tECzDgAdwoyzrRzmFRBkDGtAlFtuPzy+yLxsoJGAvGqTmn8MSZYKSJK1A6jybtvUGWqE6Ea2Kda5yiieCXlfR5DNWgDiJWqM9WaAbimh3UFoIO2USMZ2FyVj0JaBMIsUQJU5rq8oINmNGFmbvRFspCQzuPkIKGlEcHCsMrnT8LCiTnJxXfddWSjrOl4G5bDVxN4MvTC8iADszMgMtOXAI9iHh9bS2Du/JXIXCFbqaD5OflLpXQSygeZjhnWMfeqmYVDNS1PYm+awXhOVy3nDb6ENorP4AanQ08wKifdAlwx0Ef0c11yXHCD+iGjmOGwnoZuiTQVz7vjL0dYGzRlMFiCAmSDD+Jb+1EAPN3rPdudJ0yYGO23JNEUSTQPRQ/QomTdRMCdI/W0XEKZgGPofdKgC05EDaRPMYx7g+dLDOOh0ExSUl1SXIvqHZx+iDgM4Q7VmoYdlsUdwncUeWC7o8xXotEysWMb54GBDy3t138HedQNQ2UJ3sR8NF3r3csjw1fDJknBZ4nDveqWt5SJK8WBZzwx7+x7uXU8hEUgUaLk2vuWVmVhE5Ggrr79F36RjnQ0vCbrqoYJSpROgM3NcVcG64zlkFejFgbjqsX0+aL2pEd2PuJcYDC28n+fkfpxt3MQlDSQwGUzouY2JZigngEhNRUH9ZQJLnA2o6c0v6IZkjCUg59hmzLxMRB+Ti+Sxx7rIQ9Z5BWjTMuizBSABibDkmZboyfAkEH2z2u4hzCeWkcg9JiltwJ7CNnCRhzxnlmZA4Z4s6HewniRBW64dAIr4Ah37NZ8Mywwlx5A+DAPXRCisVJ+2NZGSzmYdK264BhNBq99nCLSBtLbpsRmdQwyV5X6n1fJeH7xkXRsQXWEmmzZO6myGNjIZpxG/rdTSAcL4Ci0YK2rBzjvbzBS2H1mnJnVgxfG7Cig5nNycuMwIxo3FiPmSQrYgKNyMvUZee2tZyxkA/TDYHdwtlIZUyTQyUDHeHeNStBCLT6DUVZiCnFmJoBAGh3CoRP0YqylALhcRvcwSfAQxK8Y79U6OqVF4/rU4eIKKHh9ADBOcutqgFjEmXqgPizbqHZpF+04iPSDEoCWjv5nV1zXwcIEwlCFQdjeN6WaWyOnBiTD3EjbIItqO1OYqNpDB8xWWT2g5D/TNZfQ3DsJDOLy1ujD6WJgZhb0zGdNgVsNG72dkJYSe10HMg+oANkIYKGMwXsshHBonsZjjQO8eOmhIo5GugcOxcajFRtW8FPEjUQ/O7QTWn+Ul0LKZHZ7Z1o8jZuEks7HhAxirTncM1zA/eaCqDTKWKzaztHeG7CDWuvBFGHukbkMc1LWd6LQZ405aeXoJZBsSSIYkAMN4G4d5hnZwnUXhIuI99WMcoY8iMDK2YJATUOoZwyWwgDhPpEjCGN2MgVIEwxTHcgvvJEXSPbSH8HcaGTA0jZAhhgHVz2gHg0AZFMYkKKWMI2gsP6SUDiPOHsvDse/GBeXfWXgYMBIzuv6Wt2NvRkw67v3MEkwh5brJspOei6zqFbRfCCEamGW52TXMsuwsC7NMV5B91zBkMQ4l6dekiM4hRlZUx1gCMbJ4MJkcUAV9uQoKHQ40aYOq1qUoYW8kbTCA8S5wODMLdGkrKPsFvT/3Am/SDtlH0UXQfcdxeIKBksYTxgCNrUChd2nGHPs4dEWnEdcSfj4aB42Yn8M4vMGgS5UrOg8Dfz9C8+Rp/dTL2iCN45wAa8MDkLZMhwDDM9BAyvlsxLNEHCgjti6/ieeN9kN7NJlRG3s7Y0UKDardxwPdtTZQJb/ZytNJIOBIIOgYhoI2QRJ177akjhMYUd0njpAF1AuXC9CVjHhh+kwRzoQmgCCuo71JWjMAAo2Mfp9ghBZiqwcRU9rBOSzOeI8Yg4aex/GIsUxD2fyDmjq8sVnLyVPIeKQgTxU/U/co0ps/hmzPq6AqX5o42bt+WX5f73o4rAbByZR+M4qNggbEoZieQ2oIOvrkggYjvqhPYzU+sdq5vyOlFGa2y3cPbOtdv3jHk73ro8W85/PHp9VwEsG63MA+MZTTc6SRB4DnCoSHIoWXsTNd46eIyGK3PGnQ9IvITEwqsbFnrajeXYrp8/39WsZ+xBdMImvzwSU1NGfi+l3ukwtV7W+CVRg6a6Wo4yAbB4in2x7th1ShW9qmf2c4NjrvShjvPAe1GYKM4aZysGtgnjXj+jzDFrQRqik8pPpBbRmgiS6FuB+GwvyEjmW2RQR9vQqwWXSLGuS4pjmGbopzLzJey4qOk+Sw9mXF54hUm9PvZse1nK7xOoNQYEZ8zrye1WggzmS1XYro30rXmdH2K4iHWAqzFStWrFixYsWKFStWrFixYsWKFStWfGVdIxCb5bAEnbBEAHmPjAI6fAQ8QHgSq/AUENmwWlIrdQPovl5QzwH9Th3ZBglfiMJb5OThsYKXgRZ5wniJHHWyQIXgty1mZ51HFGggEINojzaz/7gIMXhOSW2sMLMYvGe1JL4JDxuz4jK7LtFkdcBro/AU1MCbCR0F1RQBZYNbibaCp24nMiMtISK8Wyca0OnRxjtYdgf0H9JwG6tAGoaJbgFFEJ7TZVBfSc2iZ4pel2KXYsviMtnORF+hdz0IyH0dXi8XbSEislhTTwXpAvRG0bsylFbvB+H1SSD3qj6JbIw27jYNUYwrVaYVxXgArHsRcyxMpB9RoxPajkTrMkAuk3wQGcgsxc1xUOZPAW0nuojZ08MDmM/7gEAGOiM2oZ4povhIu6JHuZnVd5aO63pFREQzC/QO6tdCWwawjoSGO2PY4d/h9SKyg0kPQgxkjr5ubdYyBjF+OHDpQQyhTd3gve2K5TifrgTDbQmG2wZq3eh4An26tC6iSploS4BMjKpDUkqbgO5hdnPuDUAdBhCugiEyiufptyJL3vSRgA8lwp0eZmZ6Z+0DIkZ2c45ZB3RjBq0PIVt4fQRryCDKQqQdUMdB7KttoAcFzSpYL10kvsPg0wgTwuRrzHjLujIxTQugb2aiZeIbB0lGJMS1UPcXJqBafVTRF0YyFuhFLvKQSLJ2H/YxJLIIT6OQEFJ/g+iPxDEgNS7UPXYgr+vlYFyv40B+krb20nFFmrQwEfYta9iNkXhn78sj4yQTJ6wuI7MQE1ehSky4RmqugQgl1RtjqbEddGqiEED3ZRgAokmZ5afR32kDMxg7yoV+bIHSGZ3zRnMxzEEI4Hwih0mHZ+ZqjlWimULQnZppn6Qi3XFA1KFRJVL2uYYAASkJ6sPeiEWiC0npJk09COQl6doG8YWwCswFF50dWe3Wp2rxF6cr4WhLgtGWNLFuctz3DakuSlomz1PG+QR9XSlD12QGVSBtqPuvLICOmkXW5u4+lOxHYoqUloUoNKKhuOZybNaJpCJ7BrpaELoYwzPw3LSKdybPL/Sup+uK/soiE9F0Ldf5XULbJYW9IEO4MqTc1gVwSxSJSxy0O9ZcZn6eiit8ezCi57MloBpnqlreVww8quUd0Pth0J8v70ecjK4wA/Fgv36nP6Lr+2JEv1kC0o8Ja4j6Y2ZioviY4ZgoNzKtOK6IRuR992zMRCiroPsSJclzdAzfZJJJvpt08Tio0KQeR3Gfz+SiWu+TRe2DZbAPo1EqPSpuGLb6RdoHaXyTiUjyoIgzAegK2Fe0cTjIOpwYUZ0gnPAet7TbREd0HHAuOtg/wl3dib/LprWMrD9DqlGXTg7qerWMZE1poJQNijjWjvCU1onn8Txo74WivjM+pPcZ5srNXs55UMOZuprWayITGUKPIdDqyU4Zn0nCS7sDWrFixYoVK1asWLFixYoVK1asWLFixVfWNQIxlq9KKClSRdyLCJB4qW0KuYiDg764DGQirP8NJv+AZ6rRRUe1Yd2N0nOF+/RuG55SIKzq0+C0T4GnDsSQAGnYhteOwTjbg0AaogxMmtFuwkvd9ZoRdch4A8b3gRphfEX/WHXEyyCo6SFtD2cnYmPAyxCYAurvpPYlYwjQak6pxzt1rZaBxiRChwFngWxjvQNAexLZ1sQzMXgB6CmMoK3Zr00GRGZyHtSp1fV4MlbmwJgiBxmvIhfRNtq/guQnSfX8Fera1hPJQu+aHi56rB6Z00BWREkS+tSfVQ/FMrwYs7PqsXLjfhJZy4RAjCPoON7fYfyX/Ki2Ab/JILMOYmAwTgU9X6060XLeQaxr6ONe3A6i/FiPPniXUA0GeOcsYMIYBsudW9IAxy0kWhLEIGxHtIyxAcTyWMD6ApSigwDDLrq2CTQZY145m/V9RJU2a94e1NBJxLmbxHpS8d4+AqhrL6ZnyAedYmWNtFai4jSiIkD0BBpEA2G8uSgoLstEqaPfK2NIbLSK/YVoqDY8wUR9M8kHY9wy6RXeE53Vce3GqRUxkYQuijk8p88aMakQq49JUZj8oIGYioyTFi4C0ZcmtF8vjbhnKaDu8kA7lbzRXA5jRbpJIgKIczqDOHhT2Pv7UACgFKsjiE8HpGGoQiQc+gZrG+NW5uDt59qZQaDvpZPaaLHDOocrOzptH1jEmsT6Y31qDgMNgHWG7cKEKo1LdB+JYszs7FOky2BUvfqJkK5nWyYWetcXJjXZ12obCAIgcJrdhAKrCL4/mSv0rhcQ42lmSffSKuJiCS4bQJg7iI8XMGK4ee933Hsr5+njbDOi3CqTHogPDN8Q5gpRfIx13cLcZmzcZha6xzIQ6dB/2hxX3F/Q90YcQSRLISKTMQhDXXRmG7G8GXtX4tC5psAmQBIgtkETzJAQ6h04oeOBiVMoYcynIBIUVREfkgjc2JyWobap861GF9HcrjAFm5Wnk2Y9JMFQyIgLGGR8M+jFTYydPPp35Uiud91GDEKu6cmD2EsG0L9VzJuwz9jootB51nCgW1ahezGhXvA8JFfAGYrsFurX3FeTiF+2jHNFJoM4ZSXVv84b1fVyteG9/m1L6DOurGCtrIL9FQH0NhPSbz5ZH8YzOjceq4z3rjdHNIY60ZCbY3p/MKrr/nhc96AkUJDzJUWi9cf0nBXrxlI8WdN+nwfLizkLZmuqU59E8pGJjJ6vi1FtR8Ya7EcsXcYmTACNeOSExmmcGNV6mLHuxVNc9CBRh3PzWl7GCyRSlQi2NvSyQgGJRZDEpQAEYB3jrRTQeh9DLDyyzowcA2SdoZ2WSsjE1hX2Ac+2ZFamot6ItuyYjtmVirbNKuY/kbgjQ3rWXaroXGTcypNzOlbGhwu9a6ItXZTpY/M6xuNAlYKoY0iwT+thnKnBNuT5M5vUb/alkHwSbUpkIIVjKZNA0k+iXLvtzVwCFPYH4yQaKFDEQHS/2a6e/lltXRsQW/WwOOGwxHIw5s2hQ8ax+WCAkkpbQeIJZtyKQcl04cBVGMk40eOAsHMDaUPRoaphBODFYDIyjmEAhUGzZgaoEjJ40SDWBH2DkH53Q6vD2GYaG/Ud6Uk14pSe1EmZPU8Xz8K8GmLrAX0nE724NByRpwS2hrJJmigPzVRUCckmxHhooAPfnTme790L0G6U9IZgGxQaJIAhRDgzogsTDdDLDpK4kKrHWN0wDFULyOSJwK7hbtloxOECRLj55oQeokhbZgBgPp8GR+nCjAZBniHtAQtTKwZDAynXmAc0Eq+Edd648GxuPEag9SIoyaARcIPkBsZMXcugqKeGkXEaY5jvIbXEyEZOmjoVVxzk6iuddxrjB3OPimVpghwwZOdDXUkrrhbpfMD3seYwAVM9goDzzKzqkzQi4EHV52G+OabfIX3DweYThiGUa4SDxC3MAMfA4KQU0aHiHqZbTWtAPF2JLIYlGA8bFL7kUawRKSgR3aHBrKbsI9IGSRmLT8PARWMGDu0GOzAKwwISbzlM1AODmBEgHye8AGIfuMmaGqqbS4DPgkYahVGkAUq/YWTAJxs5UPqLcMDhnUbGWdCiycswjJXI5EnjSt/DnevVKXwftFAj6Q2dgUikQYMHfSwsr8Aw70fdZBbL4bxSWwyllcviNmgm3TW4jXESAk2zBaeGYG1hdt9mCkYnNinKe96QHnDDAeo80IXQmTQmkmZHGUOmk4eLEyIiMoyg/Y8uqLOM1KX0ZtVziod1b6R+wL4xjGqMmI6xRF0sDP2KupZDIwUSt3EMO+7c5T3QcVsRFhL9NALjLnQLFjdMii/o4q0AQ11gHMDIx8ZpIcN6kFly0d/ZA532KFyqryD12YGRk+3V4kGWifZo+A9jv2diKKxLwSXo5JhbTBJjZjnEMzAeB7thQHq0fuoXVp5WYsm6hJJBacG4Tp2lXFF9YyivevdcQc8YIWZtntY5nN+phoXGC3FQhuGNYTKCcOhXmHSla8jh/mkkNoExs4mzEl1MDnVBxEQgzZniZ4hYPpjX9w/rmYG67goMiP1RHeMPrE6KiMhWnBnKMJ5VsRBkg6rDVRG/oD+kfUADYgKGv7Kj7xyN6jo609DzIpOlxGGsXETy0rBx7tX6FRqdc9aJsr6PoAoaG48X9ZnJbMHzfUy6deiEOo76tx3tXU+vqmFvCk4nKXsb3mgHSOKstFhWY1ux2OmnLCj1yQzCRGHs1xvIxIvwRqRNx5/Qdp9bUeVpYJvOAyMzMfb+CjJ6t6g3EDiDM1Q2B4ckkojk+jptz7NaqY3EMLg/V9Q5TKPWSFb3Z56vKzC809hehnG3L6Hl6kO/xsf0t0sVLe9IUsezGwKMZ9skxpUBIsJ5fKBP37G0qu+OYT1hvRdXQG1OaX+zzWggbcBZkUCSqDKS93K9cMEZDPkQS3qf19s+iVwbiwBsdffbdsUv5dJaedYpzDfffLO88IUvlEwmI8PDw/K6171O9u3bZzxTrVblxhtvlIGBAUmn0/L6179eZmZmnu2iWLFixYoVKz+12H3NihUrVqxsFLF7mhUrVqxY+UnlWUcgfutb35Ibb7xRXvjCF0qz2ZTf//3fl1e+8pXyyCOPSCrV8Tr85//8n+UrX/mK/PM//7Pkcjl597vfLb/4i78o3/nOd55Z4aNNCUWbBl1SgDhbBUKPSRpq8GYm6AkoId14Wa382XTHE7B6XL0TDhIqUBKwNJfhyQqR8gTLcGkRsGAiuODxaJFPQ8QrHKAh0kThWWgzCUTXYl2ngZkQbHpWSBke8a5rCOgpBkGlVZsJXVpMggG0lUGdhKc7TE8hrOxxWOfdxB3hFLzooOHE4NWrgmIcQ7KdBgOEo+1SPkFbiYZsLug7A8NIQsFAsIMMgop26o7DFLw89ND0Af4/GFZvTS6k71tu6feHo/qMn4zFFKDdytObqQOLMH5Sno+DSsAkKiN9a78711avUwxzYnVa7yeBKCyD+l/G2MuB0s1EHUZ4AAjHJBGRdSCVwvD0kP5c7/YHKZqk0XNs0NPMsdckIgr+GSNZSR/HAGg2AW9kMBG6pFdx/geQbMFFABqoRPyO85DlqodBXeTaEmab6n0G7CUtPIo5X1/dGElUzui+VhQJNUTgyJfSFtBcQEuOd6mylRQ5D/DgYh8hVZKJIQzUod/4WoB3GTTANq45Nlug2waW4SGd17JXN3WeJxqpHcZYNxCQ3slEADyTyri355Q0YCYQYTSO1GHvBBekDTMJBdGL5dFueZlvBYhQumkjqwipMeSTPKIPrABSPdk3eGd0BnSlYawhTL5GpPox0JZBGQ2EAmvezXYPIpGOAAFEpCH7nePHQCiDhnOspIM8nwc6H/vOE8Wh3vViVAfuK/KP9K5JxZuPdfQ00rsMVAoS4C3VdN/Jnu+d9G52WfW+JJKgVUFbLkEPqAHV1Eaom+CT+kxol+6Z1TzGPFB8kS5dmQhIE9mrwvU9xJAaeJ+BrEWeFyZ7oIRndSw1c9D1OA4QWJ6JSAYe1nfOX9EpP8ePg32HoTCorwapM4NyHV3CGgLmhCChEic352oQ748uYOAaiFPog9DpekwA93WnD9Q4J+VM7mm1clSCTlQy0HUpcaCBiJ5iIonmFNYz6GUMneNHxQwAmUNJ9iGci7tGPgbU44Wqf0ZAwa/h3TWcK/KbVb9m0hUigIjGXgZKiXpWdFx146GsIp+IQKKeXgLacaSLvGYyE6ILuVYW2vr9w3VdZ7fFZnvXiy1tj7m6XlcT+s57Frdo2YGwYoilB7vIcBGRakt/uymtbXbvscne9a6RThnmy7rmF8F8YvKTk8uKHo/0K0su6MNsGh1G6DCce/uTerZi+6ZGtQ+KTIJKViLOLUTUuqzBtg+jjoAvog55Flxc0TbIXa3I0jzZWv+ulNzMSxTlv4wkQ1zpOYfiTJbCkBlkK/mEL9N3eCMHq0zICD2EdFyi7Dhv+xCSZXo637u+YKuGMimAGj6a9GZdPDYHunK3nAmgHsnKSsd1zWcyk3RM7xerCOsElGIqhmRF/UDlLun4LODcFIf9aRXMylSKrC+yVHW8pbpsvgrCM6STKDvo0Vx/SDuvIiRLspsAplX2tvd4ybNuQPz6179u/PvWW2+V4eFhuffee+WlL32pLC8vy1//9V/LP/zDP8jP/dzPiYjIZz/7Wbngggvke9/7nrzoRS867W9Fwm0JhVvSikApgCGN3HE3Y42IOUm5wHBzKyNrYeP8zkBjFlZ2pGEAizAAn16Gw96wVR4KckOgaCYAawad0NfgeAyDZQhxIEEzLJ3sLP5UAA3aqU/sHsL/W6AoEeofA9VTECuOcOCAkW0KFCjE15nDIhEBnZlZjNqgQrs03PYcqOiDMOT50Ka5FJI6XpnVhTo5BVgzFhguEqW8tiVjMRRC2k+MhWfG5ev8L4MFayChY+BgUeHpu5Lq9S0DKv54SalZbswQEZF+GB8zoarndQQHLDdzpYhIMoQDEFqK2c2Y5XmujJiiXTHipzHj2Zgu8NwgScnjfS52yai3ITKK+JSTw6o8EDpfj2B8+IxDN/xAcFafZVbRZhJwdhg2KeUospczHg6yM1dJcwZFMEjDD2moCIWQ31rQsqGdTKp5p8xUHChUegKgVbhUCxHzUMdsrlTCZkEboUGZilJuqNPfzySz17koZ3Jfqw84Eow7Jn0UcXKYYbSe7/Slw/WXixsOxrF5KHIwcNHw5fgY5mkcJIWYh3Ma2CIFUBQxzUntTe/vxoAdJcVZnyXd0AgPgXW8MopnQPcl1ZPlJY2b1OLKuH4s/ygU94txAMGUrwVhEOtmJ44t4N4g6gTjRxMOwKEf6vMLL9D7RgZZHzp1sw8O0RFkVoThbf6A7h/MDl/vR9mia60gzCjMGHpcE0J4pAmDC/UZg3LYB4MSDoSkKgfRybNVXVtGsTftSmo4jqGw3s8EdX0ZynTWnP11HRyzSdX/qEyPJfQdDTR2EfTAOsI8MJ7TCTjU6EQKHEbcXozJ4BZdaw3qD0MCILu20z2EMhsy964mxnUAekULaj3jNHIOc1y14GRgPE0jviHjZiMkC6nsNJrP7cEAccvmeI+N0AxoXDBUMmbi6D36/PQernW0/MGZAcOmsaY53usYhfOMe6ymjV9bn/UoZ3JPC4bbEoy0DSomDTfUF2cX9bBN2n3UoD97x52uAQQS9DG2J3HIZsx6N9xKE+Ev2nC2klZII2AK4UVCW3GugVGmcCjfuw4jjBFjYEcGsMdDZ2b2XmYVjiFkUamJcFntzrq00tQ17LKU0nTjQW9j6moLuQRgZCQl2XgecRX3TauBZuuwGrgW67rW17GhH1nN965HU3omuGhsundd7cbry2DNpdGH44fnBBqDGCLj+KrWIxnVfW2mBNsAvkUDFw1+jE+3vIizD+IFj23XOJDueE4g4y33vfaK9l0Z86CvD/aAgI4Tlp2xNesXQZeHkZOGPRq7GNOzCcdYBMAdGuEIgnIBPWVk6CZ9lzkJmJm4H5mGOa55vmdc0CjWC8b/rU9pPUhVZhZtnl29zthHl/O9e9xXacz0iwvfwLrA89HstI6xLZNqxI1gfAbScJCgbwhg4xnYyERfW+sgZqboIoBvtWW9TgPEtAobEkOTuHapdu30w0096xTmp8rycsfS39/fLyIi9957rzQaDdm7d2/vmfPPP1+mpqbk7rvvfq6LY8WKFStWrPxUYvc1K1asWLGyUcTuaVasWLFi5XTlOU2i0m635Xd+53fkJS95iVx88cUiIjI9PS3RaFTy+bzx7MjIiExPT3u8RaRWq0mtphbklZWO17jeDEqoGTKtuz5OQVKL80m11M+vqockAbg8g8+7yLkUPFdNeD9o4S+uIigvLPb0WNHrxMC8pE3zeSYlIZyVCEBnHMgyZsaExyHUzSIUOKKeh9AOtZ4HEJSbXnp6eet4n0GVJr0Tv6XnhghEP2F2ayK44kktZwIZZ3tQ4n5vujHRiqTQGHByoCRjgKqHUN75ZR0n4wMKfzcos/R0H9DnmfV2YEi9bW47VX2yKBWR4Gd/RT18RBpOJZQi0B9WjxXpAjlkgCKVIRX2TmhCekEUXk4Gmi2A+rU93/G2TZfVk5eDl3WWSEB4zDg2Bga1XZgZavGgIoEndiqtgvTnibz2Bz1QS0AXhkBhoVetMo2sbiOddmoAEcUg9KQEG0GKMSd5P5sr4xnQhuGRCzNIOzyny0hQlB1XlEzIxzPNIMSud5Pwfz9hQOgaPI8DCGReRWDnJAMWY67SexaF591FeAZ8sqivR3mu97V2xBGJOhKsYg0G5S8+j9ubuhcG9RjoHtB9G/B8Ii66OKT4wYuemEEA6wnMJbzToLqTKoy8EKRgJo/rb1PTTvfd+mx8FvTEESBBgJSLIAMmszMHsB8mjqHsmzD2kFDFCXknJ1regXeifjUg9wzYS3ddaKa898z0IVAl8cjiRXptoBcVgCPD9+p7FvA8E8OQZkxUxshOHShMjFUDQj+KOe8mBAsY+zoQCPxm0sdLTTosroleXKjrPnHBZkUUVlpgXQD9UUB4jR+sbNV3wv89hBAfWyIdz/9opNC7t1RXr3sK2ZkTQOOsAi2ziP2NVCAGni8vQo8CQq9F5B4zD+O3TL5GSn4DlFyXLIAt2xjjTKyEBKqyuguoTqKYUa4G0XpISmIkBkHZGU4mDLZHdSt0byaPWQDqtpvV3AgHArQiEYL9P9I6LV6l96dfTJg0UJ1YF4k6TpwAxRVrF1QnIxM0Qwtw7WJimB7y2dXridRd5/Jc72mBgCOBgGNkhg/6BflHUq8YdIz6MejUA9D3MWTTYJcVV/Qs5iZ9EDGzGjNjunsmcDDuGyv6LBGILZyDEi9BEpemN2Ipg6SUqwVdi8JIAEp9mO8xMq/inWmgxhhqqNxFI54o60bCpIpboEDEA1onspMeqiiV+MmKJhwpNZHRt97fu37h1JHe9SPzyoqaXtEyXDysa30cevpCVduDmY/d5B9EkhFRyKQdPFcwmeThZT0/ELmXwllmETTVAs4eE/2F3jWRyGSglXE2b0I355nARdFWkcCE509moacUME4SSMLD8wt18+AhoGkv1g2B51KqiRx7fGcK44phQIjcLXdtFaEnEXpqE8J1wAbB5DLsX55vE/gmE6RMg5oemNI5vFJFCBXM/8d+uEXrBPZYZkL1A/cMRcYVE5H0Z4CSxJxk5mfambiO9Q/rd44v5nvXcYZiwB5EBpyRZI1oR6wFTFDpnkcdnFGHxwq96yLKzoSpFLadq+u1WMBTyHOKQLzxxhvloYceks9//vM/1XtuvvlmyeVyvf8mJydP/SMrVqxYsWLlWRa7r1mxYsWKlY0idk+zYsWKFSvPRJ4zBOK73/1u+Zd/+Rf59re/LZs2berdHx0dlXq9LoVCwfBszczMyOjoqMebRD7wgQ/ITTfd1Pv3ysqKTE5OSrMWlnYoLA0Ge4cHlWgdetLp/aAFuLCA2DxDarF1A6K6yVRERCrwkjWDa+Pada6BDADHP4oYgbRMG/HY4FGpHFaPfQtxAcNAL5KH3/bh6rtovPAWtbAzHiPjjbSA3Mv0E0kFDzks5ozx2Kx7e8yIzmR6+NUKYrX5gBQrx7QNIlsKvetS15tI734o4u3RIXqTHiUiy2olxFlAnzFWJL0+RhnRZ852RchF8VvGkFvp1ns0C+9kA8FZgSZ5ZEnnBlFuF+fVE7w5pp7Fa3L79Z2IVbIEOMNUTD2nMw0Eea3r89sz+s57F1UZvHz8WO8600Uy5tCntba3R/DoSr53PZL2TvpiIPq2IChsOeH1uBmgmsgfBL1dOKGxKaIDOp4DmbXzL8GxicC27ScUFTjfj3gxDJSP9afm43H0C6ZMz1sY6KtiRccEgzMb3ujUWg9TDl4nehjZjoxbQs8jxzhRx7WWN4LUgYeUaES3b1rrPImKK2diXws4nZh/RO4FgRJqIgyuiyRMndA+Kk15x+FtwyMbRGw2ImmITDQQd5AQwB9hIJyqo9gPCtgDEHew1g+0Vbbz3TYD0iOxSOowYtJtQ0zDDOpBJCW0marGgzdjleEysgJ0Opyu1SGgylE/Y2/Cdbj7HoA8pIlYwQCPS9gnPjVjQzIRyfyl3khD9hPrQZQDr42YxojrU2eMty6aq42YxKGCN9ozvASEWT9hXXrJZDtNIN7CTJQGhMP+FUW6DMaBNkA8wirWn283d/aux+OKQp/rxjvMBBFkvwRYJ4R7abGm6+zcDOJ+YcxUkCAlvV/bt3Q+EHUY76nHdS2sDqMPgKg1YvJi3rixJWNLYAcgtmZ9EDEQMYeJFDViaCJGqZEAhDEsK3gGSKzmkta7uQULQM0bg8Cx6paBaF6HiesQyH3hajBWyLBBm5oIRHwfa1p1BChMwG7qiG8XW2TyJn0NQ8SFgAIPlzrXxe1uLMSNgUA8E3taItGQUCIoK0tIOgi9O5HG4okEi9RJlkd0bPKsVEcstwaYJtm8riGFOST1g75GHSrZPYutIOZ0eBnzcUDHS9KHjVZB7DeyOBaX9fv5Ab3PRCtGckasyzwL5qEjJoGkLiMG4kCs8/5NSY0HPhHTa8ZQj4dwhkQcWcZJZGzaA2XdzBjHry+KGGsr2h+bRzUe4pFVRQPyDJ6P6W+Prei6W+rGeyPD6Aji1lFfZgITJj9hkhruyRQiOUuIMVdtep/zjPMGvutgEWH84eBwZx9i8tbmvK6nTLzDZKEU/rYYAIIWY6aKMyfnx8Kc7n0hIMmJnOO4TeaBQCQTkmzCrm2lPom5hARVMSQHYXuV0TcLSAxDObSoytvAsJ6NiTJdWMJ8Bgp0+GJlqS0BWUrbg8vWIvuCcelXUM/2/ToeGxfqOCXLqk4bS9t7jHF8uoklRUTqeI/BlgRCnzYcQ7/q2l8a+B0RhTWMpaX2qW0fbnLNdv30zYLPugHRcRz5rd/6Lbntttvkrrvukq1btxp/v/LKKyUSicgdd9whr3/960VEZN++fXLkyBHZs2eP5ztjsZjEYrG1f3A6/5EqnMFBmtDPChSgcto78Cc1RRqbMt1EAyUEJiXt1U1OIiIioPYwuy47rQpYfD6NwNrQsAaSCKCKgcuA3rOzUIphWyFcdR5Zs1wjWx6BTJdhTCCtpsnFDnXlomNQEDBACbcmtTKS96Yz50G1nF1QQyFh0M0ssmtjg3IVACbGKSEwchyKCQ9LXAAqoDowK1I2qe+cxSI8C4WFGZZpMGLbsL91G9cFmYtqBOORlGHep2GxhTHbwmkhiBNmHlmbazAg8rekP1/ep8bBfatKR3j5ZjVKjsZ0YV9qdBZqBkwut9YakZ4qNCzyYLi8gPkEJT2GhEA1tOk0Xp/sV4WFRrORTdryLZSHfV/ubiLjw4XePQdFae7S/ghzfcB8o+GNWduTY6o0lqFEryBjef95yAxOigycDAxanE54r3Xu3DIcCRgzDCg8fQIU8U3adlRk0ghqTDofhf3BQPzV7oG7fWo29TktZ3JfcwLdQzeDwDexnsAQES53+rg8iQM2lQIEZk/CmMGMxczqbBgcEcbDQVlqg7TarSm+iIjkDuj14mUwfsI4FuwaPWgEpNG0OoT1DEki2n0IRbHKDNKoBhNGgKJt1A8Jz8DeMqiYkRUYJYbgCEImWPc8RuNgZBWGUhg8mzAUsk5++RhoiGHiidqotkH8OJJQYA/n4dhh2BS0TWSZCXk65YyCtsn+iM2BVod6GFROhsKYQGZVrAmtJSQBi+phYeeQBh0/vKLrEoVO4fHksuczPy52jCBh7IEDCV1bmZGR6yYdnxE4Z+sIch+dhdFwGxKLwNgVmYcRl0ZDjEMa0JrUi2CwdpN5lDdhgsDY5jBBHOZ8dE7HQHUYTnQmVEGf0cgYiJO+hIMyE/vAUMd5UBsDjRv6WqB7sAwWMa7oCIcx2i+Ld3gVhzSsSww90AZFm0ACw8gJqnkt6ZEgRcwELEYm8WjXUdDtF/bVepQzuacFg44Eg47RLxFjrKkQVEEdxjkBvX+TzucwABlMWGhEmQDYoQZjQRDGAndtSQ0i4V0KSfGQ7TSIkEqlJehEcM6UkAiThiYmAuGB3y/EE+mSTBCSgPGvP0Idv9MGpC3zDMCkKCkYDR+tjveu96RU12fYo6aj9cuF9Z3fWdjWux7sV113GEkhqeMfQ0KTPLIpjwJUMBPo6M+sMx36DPk1OQgDKc5TNOJS76dR1nCWY/yUgug/lKHGrLtxb2N3CLqCm8mXNN2VNIzCCAvEjOKjeT1jMdSa3zjZMqT6ewF02xjOwM0n9UDT3oRMv9APWjld15YxVxgyzQVKcA63kJyjUtPyVpIIJQDjOYVtQxtOP/btE3UdMxxjtJvQAMy1g6Ai1yjaBzvI9HGUd1nPbaMv0eSlNdheOH7KMAjGYftgaD1SpANYi1jGftRptQSHHQyIESRTdI2SQRprxVuR5Pg1wk3B+Npbo55BuKln3YB44403yj/8wz/Il7/8ZclkMr1YGblcThKJhORyOfm1X/s1uemmm6S/v1+y2az81m/9luzZs+cZZfWyYsWKFStWzoTYfc2KFStWrGwUsXuaFStWrFj5SeVZNyDecsstIiLy8pe/3Lj/2c9+Vt761reKiMif/dmfSTAYlNe//vVSq9Xk2muvlU9/+tPP+FsDfSUJpZqyXFZrLZF7B46rpzkBL5WbVl1EJERYLiyvtKy7HiCmIGfg1QCSc/T1AzlIejDKzUCbTBu/UtN6GLQWQMgrDMybV88FPeksG1OiV92EBjBSE120yiDfRUC5YbFOwtrdnEYQ8QmtNxGQrEcIsPgY0GdMspGCt4R1ima1rkwR7wppoUF4G1KoH/uAEO8U2pFo0gFAwun1YQIP1o8B1lOw7C/QQwHvqktf4HgcRYKWTEzLNVfWcq2C0rojpxTjqqPjbSis3qsGuH1jkSXP+/mQ1qk/rN9Kgq+4M6506UJLx9jhSieY8pakesCeLCsdjUlirhl7snd9qKRBmGeK8PqMFnrXpIUbSWoghHjPlJDIBZ69oqNtxmDu/Uhq43qVSNlNMEETggFzzWFg8BzQtEUPerSIGGgRSen7GaQ3ju+u4FsBH4r2MQSLdtEwRGCWgLScGNUxkMdaRMkkiNwF5fFJbd/2CGhHoL4R0RLqrqOB9ukH5j0X5Uzua07I6SCUgBQj/ZjIl1aX6uAgsRSR222gqoiGIgKqRTQZkkIJwnQQgUQhqioOGnUFFGIH1Fcuwm7IDKL1iLhzky+IiKQOAhkQB6UDdFtnRZ+pg4ZsJF0BeomIxRaiaBCVR9QhUUoRONJr3WWsnkP7Msg20F5N9KPTxt4IFGgAyDIDBcqEMSH2pX6rDfod+5IUeCatqA+sfYaoQ6LW6v24j37v+5G2b+FSUKRiPkhVjNWRnK4/8xVFAZBdkYDOcdX40d51E8kFZpu6LmUiHf2DSVkoZaAqSLGbgx4Sw/q7iMDl7W2qA4aY+KGg32oA9Us0YBtU79C8Ps/kJkSHNvo694n+pe5mAFFIE9sCdGpedbE6UBZODswQ6LphJuADGqcdwjXGcA3U4hD2uxbWHWl1C8p9j3pT2hsh7AC12sS6QFopwxYEQAsPI+FFCLRl4jOamGcsL9fGEJGX3Ut3Trbb3vrIepEzuacVizEJtuNGiBfqMmVQDPM4Q62AbRQY847/wHcSzt4Ai4ohjog65F7pJkVKg1UUY+IU6I3UOY3wSVnQiqFz8axWBlOpAsSZQXPE2TEEnZK0YSZXYTKo8XhBRERyyKy0ig0uDbg9acuDSERVaIFN1AZjLuJNJekHDXlrWtfUZSTA2pLS+0z6wjNUFOtuOdZpgwoQgptH9B1EJqbB1jLCdRjJIXU8HJhRBYVn5LAPjTwOxhrRYUTLMUkL0f8uTZRngDDWXCImh7KqWDBJIoXvZpITP6YXv1sF2j1G9O2A97eI+G+c0P0x3D3vc60MT+EsBbSuEaoA/csQSxzXsTDowTh7MHlNy6euPPOQ2bgIKruLUiQ70gFiPov1h23d9AmBliHTFN+n/YIh4ZgQlrRwCschbQZM/NIodOZlivYItGML6x9OaoauwDXSXUfJvj2VPCcU5lNJPB6XT33qU/KpT33qp/pWrRWSUDNkGMGY2WdoQAf00qoOIMJZDQozxmTrkC6gqxOdgdBIeA8IwkqzgGNzg4xgIvL+clUXWMZrSGExqvtk6R1M62JzeEZjLmRhbKNhzYXCNjHIl5a0nmFAayOIQ9JCbAN2bxILBieCYRxc1UWnivht28eUrlTEgjzcp+/kxtEHKHMprn1c7G7AjENCYbvXYMirYVEbHVajXWtY67oA2DjjqVBIpx7o0/5IwNi0ipgrRqbt7sLeApXt+DHtx8qIGgFpLNrVp3EeKsiYPIv0nW1YcSIB7Q9mWrsodlzvBwG/F4VtV+OHtLwYt4swIOa7Ge5IdaBU4qAURLR/OU62pDQe44+XxnrXnJ/8PsctY2DQ2EYD4lxBxyHp5QNZXXzdDbgAAzwVBG7W5YL2+9CIjh/GqAkhnhuh9aRl02nBGB+kw1OY8Z3CeB6u+GWHNugQeN6In8FYanAgxLfqGHce1kN78zytd+xBxFjc0zFWtkLGFrbu5Ezua8FGUIKhoGHoMWKKITZZL94ZFTms4/VlhEdAptFGEMYPGIxICWT2YMZea+Wg3ByD0S6vz6SQBVlwsI8dg1Ot+0i9H/sOYsC1t+iYqueQtZZx4hB30TCwMWbkEOI8IW5dQ4evNPq9jV00/uEcJZUx9E3X0JE8hlihAzSQ4N3oUxoNm31MzQcjJ2IQRoqgYMUQDwzGTMZ5asOA5/g4XyjuM6RwC5yjBg0ahpXlnd7GbYZVccq09OjlLOhCuzcd7l3PLOhe9uptj/SuR6OF3jX3uFnE8F3oZlweQZgNEf37+ZPqCEsiFlcGztxFZAZlPCeGk+AhoojMxKQHN2EciyI+W3Cz7rcVZHPmPHfHCilPNBy3YWzkNyN9+m4aQmt5GBaZ1RP1INUpirrW4RBooy9TjAN5gQ/1qbumGE4QGulgsDeMqRy/0EFbiNzDc6Sh18MwRMMMdVDqtYI6cV7SuOmGPAi6oQTq3ofY9SJnck+LxpoSijWMUEc04DIGopeOLGKGjeKYrSN8Cs8tqZQ3GIHjge9pdtfdEqiY2UFdXGmgqRW9nRNxxKJ34vo8zwPUUXmAb6N+QzgHpaPeutNDCxqH8oXDR3rXs90s960IjBzQ+0ciqq+2kUc1B5ozDYtVWOm/fXJ77/pXt+gZLgfD4ngM+jDus/1mKogNBJlMF9Y8f/iknok2j6kBkWF5nljVZ4ZwLuaZgddNUM1Xm7r+jg1q2YvQ2Xn+IjCoCicL9W0a7XLJThsY2ZAXkEUYWX9nlhD2CGMph3BaRhghHBNOImNx68dK921sx5mEoTkAxKHDhaHa+mCEq6T1u65xjsZwxmdvI+xHbkLbdLXK+I3QHWGQH84gdmhZ5yL79cBBHfvcJ+gQZAbnGM5HLlCEa0IGWdrZdzy3uf0oIrIiMCIjJBTBJ2VBezAGNN5P+0wZmaVp/IzCoMrftjLdmLzIHE47TA6U6Op9CtYJXgCwF0LoubEy2w1vW4qXrO8gHlasWLFixYoVK1asWLFixYoVK1asWHlO5TnLwnwmpN4ISagRluVFQANKWqWBLUrVo6V1OKWW2UcPaeBYQttT56nV3KXkkorJwJkJJPBgsgsGACXqb6GkCCBajDMZWIOL+gyt1DsGlbL6xIJ6XfhbClFNrUrnmvTTRMrbu1VGIpIQLPwMMjuYU0s2PRHMXsVMQFPDijI7vKAWcdJH6F2poI37EDSZQWxd5CEt/AycOwePztiYjocTR7TtWPYkgrkStcXsyaSv9vVpG1DobfPLruaiWJMYP8w4NrOqZTfQb6BmbUponSIGLUCfp8cxGwSqB9y3ECHkhtdO31kGZYK/dQMxh5DakUlZWoJgtfV875pB7mtYinJA8dJrSApCBijbyVyhd/3ofVt61+qTFRmBR5fzeBBBnuelM+cqIR0Pi8cR7HkciBb0bzaO8AigwU2hXCsVHW+j49pnHCdMmkPv2RjGxJOHNKlNP7KpV+ERz3Uh+KQInGxpPUhL4DyvhbXeBhoZdAuDYrJL2y4OD1/jSqyjXe9ZK7wWIWnFW1rppjiJpuR/pP2xfKU38rTdpc0ySzwpI24ihs61/q6my6+RcCQMGjCTRCSO6v0KaL2NHBFTerl6HtBDzHmA7HIuus9A4iGwd4yJrgYxfojiA2qDCSCaSNjAkBblzUDlEkGE5Aqc2218i+3qIIGgi2iutBAmgahDIsWALjSQn0Z8DXiogdoi64H05NIOIDxzyAjPtZPJpFke0uS7CSyCZWb9QxIDZsJlYgqiG1E/B/t6gDR2fHMgo2tIKgyU/YSi4BNAxzMJWAT7RxFZSLPdbDY7E4o0nEMyuWOFfO+aNCYG8Cf7IYr9u1jSPibKjf2dv09/S0p3o6JziKFgiJYVhr2Y6dSphTAXEayzdSP7ItAtQIyvVLznAaVRwjNZjD3qKmBJMCFFaQfmEEIehJDJ0+km5WllMMdIHwZNP/sI1p/dCHkDREbtAEIQbdXxw32Na0dhAZMVKFpBeUjFY/ZnrgtOT/9Y38jDsyGhoCOhoCNp6EpE4hHZu7is90Nxog4RRgjoLLJECsva10QaUpenDk52xVCXiURqMENinSioDhVLe1NmSXWlVMkuwZzkun/eqCL6SAnOIDsXE6dckj+hzwBh+N1uQpPRftVXeQZgQpV4QOuxv6m65c6orr+bInpu257X8yepzWyDY1UNp1NDZuImEOOkehrsmKr238xK5/yTAzqMZ8sVhHLi+Jle0fWB4bTIeKJOy7WC5wGep/jd84eVAUb9/WRRv8txs9plRTLxxvBWbVOy64h0ZJuuIrzZaE77lYkziU6rXYlwGTgLEpFeruvYZ2IfIjvZxjmEe8p0z2gMwXa8ke9dJ3FWYtgN0ryJyGQbsN5JIHefeExtNTsvUPZcreVtxuK5e1O+0LteqnST2uC8RaSjQT0mgxPtwneX0I601fCaugKRjHMrqpfUsQ+HMt52Bbafi+akfs09kLaf9AsR6ozJXrEAuUl/W5HTZ4utawNitRSTYDsm/YCZN/sAbUcDku7L7K+E7pLvzoXBHSCkFTPWITekE8u6yfSldFJwwSSFMuLT4ZzopGJSjE13UQcijVp1QOTdzII8iJBSQOMAaTuMU3TkqMa2E62qsQlw0QlDaW0bWa71mnQaQrWNd2IB5UR2J0wCijUX0gg2B/ZvbgQGJRg5SWnlhsPNjxBrbiyk2/IAwgWJz4S61D6WdzCu32eckOPIWjae0sX530ApuGJYsycXI9peS03dlLm5U1F6Vf+DvWvGT5xu5nvXh+tqBGN8Ffd5UqV5XW1rWbL43RNl5UUt1nQBvzSnmwM3k3+b1bpu7Vv0fGbzpfpbxkhhW9YjoGZi83GzbPHAGPaJdyk4UBUQhoCbIteQ8pz2wch2HXt1ZqZbyPeu+0BroPF6eKzQu3Y3QhGTHucaDjl+meWM608FY4/GmFQSmZeP6dhLbULGL8RArQzpfToz3DHWap8+LP75LoGwI4GwI8XNMMaAbhdZQFbELp04hjgsjL0kI1DYQB/hUDbovlmmRIbxiN2H37ZhGIrNY+/th3EDRhGBAag23I2Pie9EEQ6kymyZCR7kcfigTQ37YRPKmLOCeDz4lkFV7KfhC9Q6OHcY94pzyKUCpY6D0gqjnkEJRuM5MGAEl5AFkTHvcICG3c2Iu0U6KPWGCuIQRY+pkktaLeOVSjcUhBPCWDuB2H404sKoxfingrh1AYNfytiPeD/WZa6Xk8mCfheD74KYHprPwyH3tRlkuOxmqi+0dH1aTKl+9FhcD8rn9+k7QpgURcSlKiEsTpn0SgbRRP1WfwaHIRqjcFma0f2AcQ8DMAy7U4Vx2ijM/BykhZjGO1BzHbyHtGnGCK2xy7DOBDEmmQWd4QloQKQBP1rtvDQw1vD8eyCHvjtP7/NgzwNblfEQQ3RUoD3oBEXW7zZiP4agM7ags7ZgtOe+Wu+2d6AbNsKc11aeTlrtgBG6RcTMgkrgxXJc9ZowxoCxtjG+PN4bg55DY8xKRfdEk6Ks+p1LM16cQ0x2nPkYe50GqAoMnslR7zh4q3DU8rfcRyaQVZ4xDfPIsMy1cFNUdWAa835h9H4REckEde+K831BfV8/jInB+BHc17YbDWu5Nif1m4ylOBxVnZZGrUNlPTNQeIapQzdcqoFO3DWUHZ5Tb+euSTWyzke1Hw88qZRWOtHqUX03Q1IN57W8zBnAsvD8uXqn5lOYeI22RxnnP9JdJzL6zIlqx7A4mtFvlrC/UBjLkWeTzVkFHRxdzfeut+aUsrtSxxjH+3l2XSppXblGMvQaARZNUnIxht0zOOm71Wl999j5J3vXNLxPgCLO8CF0ADLnA8+ol11ySMsb0fI+MDPRux7N6rhi2AC+042rWGkgjwWWJlKxGTaBYbDyWZ03y0v6njTBZAzrBgAFxxtDUqVxhqJNadnH0eLaDdoA0DXS+v1VhNkaHtZ2Kc3CoabDure+trDOnkoshdmKFStWrFixYsWKFStWrFixYsWKFSu+sq4RiLIaFmmGJYAA73nAQyuAah6BF8MZVGt+C6iCZNrbAux6OQtlJMxIq+eK94k6pHediDTCTI0kEbhP6Cw9WcvwMhDZ1o+AmQtzSn1N5dbSQeshbzQQkXikBVCi8PQzQ64ZHBmIO1jh6f2gkDbMgKG5JFAeQB3Sg+jSp/KgJxeBtCGMmJZ8oh2MgMz4zsIKLPWQrUMI5AsPCRFfx2cU6UdEKJN/pDNr2zgOisLdD+/sXb/hxff0rpkZ+cK0enpi8DLSUxkHGnA5nMDzev/fV/Rbl6c1mD3h79ui6v072tD5tNylxI8jw3MStLNHygo9vz6vSMcdcSRrATLpiaq6RUiFHknqGB9PFHrXi3Wg++LqaSF94sF5LcPFA0pte2RB0SgjXQrbyVVkAMX8ZOYvIj7KCDpcAbIkt1PXItKfmTiJAYuj8LbPHdXx056EJ5sZ5wFzJwXARV4yuxuz/TGrF9FLCaCxawhVEBvSd3M+De5Etj1mpV5Ets8u2rlN2o6Vp5diSKQVMtCAAaB7GgPov+4wZGgJJgQgUqyGLLrxWax5fUDFAWlkUIux5DqkTiaB7M0TsQjEEgKWO0jA0ksOUUQw7Tlk3QQyKzKqY7AO2lkLlMQ69s/QKpKuIHkME7YwW26ASC14o5lNsIVniHyULuWXiWZCJaAVAetqAklJRFriJBgPRPajbUghjs4A4T6ha62f1IEcDhaALKtiH0x3EVZNH2QVsyozq2ne+/ttUq7RH6S37sgpteZkRSs+EkeCNlCVJ8K6xwwh0P9QCAiGrl98IaRoh6MNfd/VQ7q/TcQKvetyW99BWtRiGEm1gNQgwv3JhjIziG7xo8GV0xhX0J2oi9RCa7N3cv1NHEY210mgmtB94Tx02kVdo4lAZqbvyEkgTscxZoDiE4M6jW8hXEJkBXOum1wpCjRHMKs/bFQxxoEuJFNmBRQzJwf0FynloFYvAS1mUO99hHP0qUg5fVHnfrS7lbfWd16wMyqO0znHMPyQg+QcpCoSRci5EQcyhuezUgGbE9BnTNhA+mh6QPcSopTcMwFZS0w4R+QgaYiJvOp2PAsa5ykwBJgMgjqaH+qQOjATnfztsd2969/Zcoc8VUax/vEMEMd6Ogi0+TS2pioZVyEt70xNz5avyDzcu75vdXPvemdS9frz06prMxP0oyuKGCSajLLcZZ2ND2g9wlhP81yLoeeM9ml/cP3Ng8m3UEaCTCRhfWJW13Ge8yLXAO2Jdfzxo3p+GETS1kdn9H61m+SHCMSBOGjZ2GvIjhxLaD3I3jsZ0j4wUIRRbQ+Wkedxjr1VIOt5jiXjidIPCnMv4SRCjoUGtB35jhTmM2neRmJUlIVn87G0tsEKnmn6UOArDJ+GehNZ6q4FU32qS5DKux9npVpZ30cqvWEfImvACEml85mstkZbrxleg6HMDEQkMtRXjmrfJyY7/RGlbox1jnr6KhD28QEwxB5Wncvdz1o17/noJRaBaMWKFStWrFixYsWKFStWrFixYsWKFV9Z1wjE3NSKhJI1I1kJefVMRMKAum5wVhEziUgVaINJoBTd+HuxsFrSZ5b1HZv6Cr1rWqDpoWYsjSMnNC7E1Lh6OYg0pCVZS2LGWKPlnSioAXgKaFlf7nrHMkwJv0JoCeJDMbAtvHB1pJ+PI6bN6ozGB0gOIbkCg1nTUzgLq/pmtcjTc0F0Zh3exEReLeiuh9LxSVpiIKl8AmvnEM/S8UEm9iM2YtRAFej7o/AejQ8Xetf0hBKN6HoxxhC3YaWhHh2iDrfEFakRhTcxFkBMH8IKfIQoRSY9OSI6JquOzoNiU/tpDAjD82LqZXSlhDgsREDuSqoXcgDezCmgSUr4JmMwLrZ0XO1IafDiwYi+p9TU72YRcJoIxMuHEBsRHlh6oIfjyDLRlZki1gp4lPqAvjPmNuLPBX2S8BDJaCQ0gaeJKAjO7TyCyfO3fH+x66kj6jngE5uR8QrL8FIl4ZXlWkSE9zLiCnHehBAXq5eEouXt1bTiIRGn8x+TdiAWXgiJTnouwHm9FwSiqBVGvFgkDakPAK0HpGEAntpQxRu5F4h4xz2LFLH34bo8ibpxiVrujE8DIQT0W3wGwe774FllHMMKUJINHY/REp4BQM6IWwbERfIYPNSIh9gG0pi5QoJoSzeuYkxBClIHipAxB9lejD9YHUHMNvRv5iDQx1u969RADMIQ+pVe7MCyrgXxaaCnJ1C2bgI6Az0KRBjjcLIdw0go0JgmGgix8oBsHQRbgmthPqpry2PLikLPD6p+t4J4uo8AvUO0z4u7yPYIGuCxyljv+lhF0d0DESSCQ3IyStwnARRjS5FpQdQU12jGhvZLrOaFfSPilg8ELtayB5BEy0FfR8aQFG4A8TyBCG9h/rUVIGJ8i7EDBeMgvIKA80BGB9E3LomBySMYx5QZfhg3s7mM5IgNxEldwjex1tX7gShGXFfGPXWAhubY41wRjH8iot21y0Uat6un1resdCQcciQUavsmIqCOXEHsWyYboj7F3yb7vGPEkxVVLei6kRvS9YeMo4gH8qqGRI6MC2+gghnrGvHTiMAuIqHUCJBo40BYZcNajyRiEGYQNzwf0jn/pokfatlxJhgNdd6Zh66fCWIfA24oguvtkULv+mhT9d7LsC5flNYYtKNhrQdltqGLCM8nTPSyK6Pnh3sXVUHgmTnTTdDBhDKFus7H/fOKFrx0UvX7hap3nL9CJeF5n+fM84aVZcX1nWg5SihKZJn28WAWqM3uWsfkXUS/kZEUNBLKILYeYiOmcH28qIrGgA+ir1DU928eVCVl4SD2wa1aHu53RLyT8eiOecYxZQxI5ixgLNIjx5G8NK3PT/br9/cf1L26b5u+nyxSJg0kg/EYbCtMGpYAeplnmF59fPIzkKHlh8zM9StClmciJqlJx3SurOKcbOTvwJ7I5D+8bg1Bd7ujk0Mg83NqG6Cw7+rQjxhXNn+FjvdeUqvy6SMQ17UBcXNuSSKpqLGAE9oa8xk0DGLJoJTccEhhcRcPIysSlME5ZF6l+AXjJJydNGsDro9yra7qAkDKSF9eN5M0FlnWj0azdNcoQEMTjZCkjJBKHMEhdGCyIF7i4HSVxoQmjJhZ/cLjoFxiM+ZizoVyvqltTMOe207MtpwC/ZqGYy6AEVDJaDghdZtGQwYGninpt5jRiAsvg9Ia2QFhZHSzXeUBPedYLiKr5zICwpPS1Q+FglmSf1TSTXlbQheJSWRUa0F5mIjpAs4sbSnQxJaRvftIXTdvN5gyKWBllH1zTBe4VRwAS6LP0GiZRfDnR6saIJftwfJS2DY/WtHfXpJXqvdxUOWMDFrdtmfAXSo07BsaE0lbScG4zfWC83wYCiSdH6sw2i2BGsDFn0lP+H4erN11hBs3FSCubUZohZC3QZLzk3OyDuN5f1LfX6xpP7kKegvZ2qw8vTghR5yQI0HQYI2EH6m1lLx2BIdkJkJYRSiDeRx0pvCONgxGKWTfXvFWD4LLoPLC4FcbhhEFwcsdGJSNg333t/FZjMdxOGeGMfeY4RV02OQJrJdbmYACdQpDOYyj3kyEkkP7IqNuZh8STCAefAuGNZcP2opD2abBFcbGEAwuTExDQx2NrJUh9Cudh0y8gffTYWZQQ5EYIoQkMUYSjK6RJog+ohG5lfQ2ytRB8wn0wbLJBCIwUi2t6j7yeEgNhXuGD/Wutyd1z7ogoYdD7kfb4GjqD2oZ2tJp2CAOBYsNdRiOx1Xhn67TYqaSAa1uBYZp0s2YxIohBGbK+k4j0QkOPU0cPGswlIVIWe8a7SJI5EH9j4muyhzLYW2LNILcU4dZWAHlG/S/UNj7kEQHUWCftmVjizftqok1KlrofLcxiyzlMDbSkB7A9wPMLA+qcg2O6/hxrWv+e3oNRqXURhHyAWM/PAeaXx5GYiYowjzrJT1i1mwrpyXNVkCcVtAMVwQdg1RTB8cpJhmYmQf9EY54Jl7k2SdijCXoSidVf+e65Ax0DvMNzOXhEV0ruG5Rb+JBnWFoothLC8e17NS/zksf1XrAgEhHP3VaQ/cPq/GBiVFcvT6JCZkO6HznutjGZlPAVnANfNk1UM3HYWTMo8+2JlTHX26q7nqkokafSzK6jrdx9ri8X+8/UcS5ItxZu8pIsEHwxkhW9Wgj8QaMwgybFYfOvjij/RFGYsIx0NGX6khSiIRLB5a0jMwGzszLJ5f1/e46TX2dSU44ZnnGmEdi1FgCdFjYNZjE5Mhyvnddg27OxKBzJX1nIKvvZFIizkuu6QRbuPYPJqZpHtXr0qjOyYkhUIWxpjObNPssjKSq86Cap3E2X170trlEk95JjHgGd9ea+ZK+m7aiTQOF3jUTZFI4lniGLCHJGtuOugJtLkU875fAlfoHjbS1qzpzHm42w7bDdSmOccq60iiD0+MAAQAASURBVInmjj2OwVOJ3QmtWLFixYoVK1asWLFixYoVK1asWLHiK+sagRgMOBIMOEbAUHoikqAWZnwQMPQk0TtGS6/rOSBdVe5XD8PKefrugUH1iuRAD6SFn17hk/uHtOxD+nwqpmXpz3lD7ol4MxK2gAKQH1lLeZwtqAfO8KAMqgW8HwFnCcUl4m5TvtC7jk7q9+mVYJuybZgMgtZ8ojAJ2x7LqydwEQG1V5Y71xF4iJgyne+jt6aN9iXEm3TR4ZyWd25FPR70eFLoRaGnLBrTtjy8rLDxiwY71N5CTb+/UAFdHIhCBpi/PKdeyxA8iAyw/LO5R3vXi01vbw1lCxKkkNpMWvLdK9t716R+fX9pi4iYFLT+qP79cE09dkyW8kBxqnedAmXjspTWj1ToLXGlDc83dAyTqsznSX3Yv6rzjBKBZ+oHxzvl4ZglApFrAoN+ryzpeNwyoZ5YenJMj5W2KZMl0cPHwMMkT6zMal+WkdBoKL92jSAlh2OTwvmcAgKSoRJWSwg3gHU04EPRZju5XsBWw5sGaGWtBEshCbZDMni/jo2FF3hTjlvJzn0mP2EyA6J7MGUN9F0b6DQmyqgOwxOZxvq6H3QzJG+g45KIOqIOWbb6SGe814KgX4PO2AY6JH4CwbFH8M0QfguaI8DQBsIS6oFBxWwOYnzCS75yEbNNeCdRchMwVMeA3iLdbhnBvAeQSAJoKCcLFNh8xPP5AOpHdCYjV3C/Y9gCki1LRJ+yDInut4C64tYRmwfNewj1WERSG9QjQGoq0A6NJVB4RpXKVm5pvQciuvdyz6gaSENvSQQ6z0QCOjZGoop2OFHTvbTpkwSNdLRl0LEGPJJViTyFpnVM9zs/9GAd1MhwGvRgoAGlS7flOksmS2FBOyeTRyB1YcI+rAugOQaA0A2gHkSTksIcJGWTfT+H4PdAXElGv9Xs6r7I2SZtoqsxBoNAzTZHQL8ehs6FZziwFy4Hio2oZ6yNDFvANZO0/RDXICRsCbht4LYpYxpYeVqpLCUkWI1LGol5ePbi+cVIIAB9nMm4lsHKyqS92T5MHJfMqm5ai3qHKnDnygB0KSZN4jmBSCMyN6g7suxRhA9YqQLeByHqsB+hfsgIItLwyYait5kkJdLd5CKBU+ODYgHtg0vBGmg4fB+YW0YyFlB8keiFyVJ+Jr9fn2f9gJ68Y/GC3jV15nuOdmDEl4wre4hnfZ4DTxZ0TZ9ASDGi0MjCSUwB4Ymxx5BfBhusof3NkEUFoAcbSaDoMCbc786DqcgwM6TMkkFJCjzH1fxJxEfRISCrT+Z71wPneYdGY6iPLPYMxwd11mp4jyE3MUueFOYtsEEAMc7xbiDZsa/RlkFkPZl8C0AM9sOWQOqvnxAlOJTqjD2ypogONcYANkGGcuPzZKOVI0hcuUq2nQrDnVAPqMAWQwQpE0A1cB3rsi9p22KiNjmEJLC71H5C+wjX4PpsZ31rV04fgbiuDYjVZlhazbBpVAOEvA+GGxpj8rhP+uF4Thu5yBgC3WcIiU+8CJl4i96ZkWkEjEMxTKPDT+CQROgsF0dONNKZ+xLYFAGLTyCbNDMSu9BnQlsHUjq0GT+S2YCZCYkUHgrr5KRBb0Lf8HBD45xB3UYZmHVpOOEdp9Btb/YNIboGtZKGm6a3QYUqIY0uzMY5OaIx/Z5sK0SfRiLDeISDyURGx1i1e2BirI3z8mrIS6APRmLaB+NRhYT70RsYa5DXpDGRDkZDZAuLZgZ04uv7fty7pmFxa7xTZhoKKzjBH6vme9ffnNZsz7+06X7xkpMNfX4qCmoEKNQ8BAZhFdi3qtnPLs0pNeJASQ2IbbRBDobyrbmF7vsQWxT0iQcObepdp4ZgvBvSvhnCOJ2pgC6ANZlzwt3MRET2H1dtYPu4jgPGDs0Oo18xd0ktnu3SFI4dUc5lKIl1EaEP6ARgBjNu+tWTuhG1MW+5+TDDHevqUpBaLWtAPF1x8g1xEiGZeyHWWsalg/Lp0ldpBHRKMNjB+owpYy50MBoycxvPHzRGMUagQVPFob3Fg7ePEhrqZrWMgIZYm2TAQr1s4B08+JcvAoUSxoxwGXtEFqYmKrAwanGPZaiNYJRGQbwmrM8kjnTWiCKyXAeKMBqCziwJvW6HvI04jOsmRnxI0J95H+E4eBhhXwYRK9I1OouYVGQ3tmUbdUsf1OvKGMqF9SSI2HNOA2WEIYZ7NjMDMxwI9Y99iIF4zdATvWvuWfsb6oz7QmVL7/plqcdEROQy6CRXpg5qncIaY6kB51MOk2UW1OZ9Szioh7z1E66XY2O6P88VcGhEfzPuXygDA9484mHlOnOhtoKQEDBuM/4WHVE09jG2HHVTWp2bNBrS4AinLPvPiJFJoyHDA3CJcA2BoGcbcwnZO5vIdB5kdkvG30QM1tpWAAM4t2ldRllCWBuNLPeYK+EVODnyjAHa1TW7TpBW9dQHVysdCUTbEoi2Dd2nBudlFUbvZtPbiEJxMN55nsnACboCkIIRVgmGPYfhabvUZQIEjOywT+hcbjLeZj+y3+LddRi6uZdOIj464wJybRtGeAbq4Jmg1uNlYV3T4gHq7J22bMFjUYNBsIUJEXIQiqetz8xBv9+G2P+H6woiKMU0HiKNnA81NXRQNYoQT6Lfum368t41Hf3MyPzqHZ0sz0fKesYygBmMSQebMM9eRrgy6Mg0KBlhhBBPnWN1FtTfYejsDHlFW8IEbAmunsyQZgxj5OD8yzV6eFjHAEOKpfq1vDSSJzbrO1l2jsMq4unGAFignJzOa9noZGU5u3tGrA95BdDWAqdiA/aIZNrb2EUDonlW0rIXYWcZ7l+bEVrEdKoxBiJjJrrTgrYBOgx5rlmYVT1gaFj7lCAJI0wIdMcY6kqdsnYE4da2gMaNvm9AjxrOa11noJe4Rurji/nevQhsH7KFNhPxFDo+hy7onJebpZoc9X58jdgd0IoVK1asWLFixYoVK1asWLFixYoVK76yrhGI5UZEwo2o4U0waCXwOKzCk1Ry6Bn3fjcRdS4iqQircxSItywh9HB90pLN7yRRriDQA4TfG4E2AZ3fPqbIpBPLCikhXdtIulABMrGb4KEF6zazJdELQMg22zQMl91jT4z3rjdNKiKzQsgtk6jAg8GAs+2gehAqCC7bwPNEJxCCW17ptM0FW9QbdmBG0WY7RzRzL7Mkm9kRtQ2GkD2L3vuLNimMnijMqWyhd02vD1GFRKINxNXrcahLZ97Zp306EldvA2kBROLR2/dkfdjzfhzZz4g6ZJBVogg5blfbTNiCzNLhQu96uqmekLtXdoiISAKpQdl3zNz2y4Pf610zccpMU8fyjpgiPCkGBSKnbfN4dbR3HQNPyshkFwZ1BlS5PQPqxU12vbuLTWToBiolH9XrgyvIpJ7RMTOeKPSuOd6IZKTHjMjogT59D9Gv6YyuL9v7dZ4tIcDvNJA8LlqECA6iMJhVmWukgUBc0XfnNmudSPMj6pBCNPDSUqct22VvxK+VtZLOViWUdGTV0T4IrCBRRT+yQXb7uIksj+F+7RcGhG8DoRcEbbJl0BaBQAL1Nj2p3tcCUEIJZMgNkhYNVEhlTj3TzSkkjOp6xoO7QPAA0juBcd8kFRRUNqKwZAKB5EkFKiJAeA7ecKBVuE+RfsS5Qo/98uF877p4UWcOhYjkjGOvwfuI9goie3JiBMmwmGmX/GQgwohmI+WHc68CNoaTRQKdJQQGBy061EV2NYEka+4BzakGdRF90ASqgeiIMvPMoLzplJZ3/jFFrW/drQm+BrFPbo8pzXkCexDROBfmFM0e6cLbylhnR8MIgdLS/TiJd1AYxmMoqesy1+6ZVV1zOfapW1DXSsSBlh0B5RjZiQOYl+EugoKIDKILmSSnCsQ/UVtlhLMhIpXJXWK5tbquiBnkniiHWB/mJdYdlo3ilt/AuzCTOuZwCPO8wfEGBEcIOjODwzORDRMCtqADO2Na9iDRuuinxhb0AcrmzrlgrvMO5xlkq3y+SyDgmGuZmGtV6/v53nVzCmtnDjR2IM85xomOZbI6JqJcABKYSRaJCnP3DLKgmCE3e4nqXkUkXjRQ30Y6b5WhPtXrOcd2YG1LAoGYDyIjM/ReMoVOILHiAta0F8T0POElLSJyUdwTRqJGncv31XSdK4KePINr6uC7kqq/M7EiUd1vGb+nd31X4fze9aa4orfdM8l8SOvGUEQM+VNYVB2DzLwm9ilSYEnlJWW1jPPn8ZOKfKReRIYb6aXsV54F3UQcRMGRMdhaRVnSWnYmas2naBvQYhHxRmosE4MaiX2QjIXn8RIox2Ojhd41bRg8dye7iWBZ/9YJMKW2az8yTFIaOhfZkdwzKbS5hCPeiHvaVkht5hwlBdxF3fnZGhhejYh8ohSpL5JCTT2AyW6WF3UOhUeRVR3JfWeQCLY5r2XIDOvZv55RvcGlxs8E9XccD9QLl0/q3ItPeLPBelRon77wknVtQExH6xKJmrG+BuOqiHNCVyNa1RMr2pgTiK3H5wmrPt6d7DxMcBJPwojEGA3MxMTnuXhcPKXGFRrJaLSb8aGkD6UBpTZik+kz9YwO9O19nQ0wGyG1GzFnMEGoKG9OqWJfaOgmEz0PRlRkEq7CQEPYsxFngBQaQqNRBi4qj5zUDerSCW2zeBcmTJrwhWO6gbEdCXmnEXAMijL75vwB0EjrOqGDBt1N24ljxk/420sHO/VI+xjexpjxDMZBGvtIeyCF+d9Lu3rXOZ/fHqzqZlyDMY+xqPZkDuj7xTtD4/+nr3N4Y1bnORgYt0R0ASQdI47yDod04R8KeSvmqxirVWSGo5FzLIIYgTCQMibjWLTgWR433gUNmDSy1hKI/xnXd1BWmjpOJhO6ic7XtVyryKq1f14P0E0oHVVs3KQ7JEEnOVZXo+tois90M5MjfggdKITlJxFnagzUxmoflBqM2WmsnaNZnTdHlpROaMRv7e+sUa14TY6IldOReKQhoUhQSmHts/Rm7xgm7pithLzjnuVTCNcBRZIKVTGm38lBoSkNqIJF51IUlK2pfh3jXMePLup4CGZ0X0un185t1me+rsoQqSHcF9J9ep/xdnkgpSJXRb2r08isuFXXRe4NpHWQwlZAZvT4GKPadIQHZBohqezS2VjKro2zLCKSgIEtm+C+DkoaYuSsgNrDWKjRpNaJyno4BVNOkgbEzvPJQf0mlWBSCzODOk7YdowZVA7gkE1qMxT+9PZC7/rwio6Z2Ud0b/q5V2k83wKcWwtt7ftMQNt1uLvf8RA819J16/GK6hJTMcTVberYW2ogeyd0i/mqfpOUKoaFYMzobI4Kv7bZNHRDHuoSMHrUu23GsZxl/GUkk2WGWBprDecAxmQKTgbSOzkOOS/H+nX9Obmo+w6zk4Z8DIjuYYsxt4qID9WEoTAIingK82AVxtIWYia2onAyY67w0GoYXYvaNwzLEIChkDS72mNa1+ErO05kd59uindcdStrJRBwJBB0DKMFx0vpImQgJnWeGY4z3nph6aD2UWAEz/C8gW9xn6Azw41tR4c7hWciGkKoU3PuJ9OIpY018kX9T/auh0BVptOfunwUzowY6jQHHXhLRM9oc9Df9X04B+F9rCmNk9mAlv2RpgJFbj+pxr7rMw/2ru9e2Nq7viSvYIsiHOevzD/UuyZIgcCDpaauY25s8yfhrF/5lgImsi9TcAjXp8OPaoiKyJh3nD+GsDKMfaDhjo4Uetc8lx07oeVh1l+u0ycQk9HVtehMYkz9oU0wtkHvLy9qG1GPo/GK8T/rhrNKy0VjKWn4LcTFIyWYztfCvD7f7tc9ztVvSOVtI/7xMGwTR6ALLhzR69iQ9g0NkYxVyXZsHdG9dzaLc9YWPafPo105Rxkz1W0POshSdPqh/gQUMQYiKcnUtxlHnu+h45p6HG0ciThiKfYjjAZDXtGZ2dW1GINxEJmcj67ke9e5Ma3r4hG9P7RZ141jhc79Vvn09zVLYbZixYoVK1asWLFixYoVK1asWLFixYqvrGsEoitE7hH1c7isngJ6kbfk9RlSCGeK6tL1QpPRC0DaK4VIiWFQGxkw9MjjmujhysvUG3WyrN+fTBd610yuMJJWTwHRcjsSivIajOt3V4AYdJGH2bC3J6/SgjcBSIIYPGOpkNqcJ4BwWAXyajyOZDR4JxGOizX19CwD3cfEN0RzbgOMl0gX14twbEU9FZuy+n0GOu/Hu5mtm9m1iWjZklXr/MF5HUsv3KRYKiISyqhrH+iuRH9tTSviwe2HQWScpOdxsaXvZmIRPjMWAeQfnsW96Yd719NAXzCL2xXxw71rZi9mEhV6Lpnpjd7YXJc2TPzBlrCW68c19WCWQtpGLEvcyO6GoLjwQB9qYj7DQ9o2KNroV3hoP/+jq3rX//mF3+hds42Xu95PZiYninGW6CjQo9l2LAvRugs1eM/K6iVjQO8QPONE/own1Xt0uKgePAZzJhW52IXmc9xRLt+h4zcFancb2Vfp9RrLIIkS5spoQsct11eie1e7IRICAW90ipW10miHpN0OSQpIGHqdiQxaXOyMJVLtakd0bW1t176rH9FxF9uh8zMOKhDpOdwDGj5eWSLhKPSyBk4CbbRNx6mLCGBG8wiov0TSk1KfGADNEV53Br+vGGwBJEJAdui5OaAEkKWTbVDFe0jXJB3JfT89yEQgLhzL6/tS3nUtrmgbxZJ8D2hJQLcUlrWPidQinYY6CpFlpLYwg3y0i34jNYxoQXrdmYU0gXASzNjergI1Cqp7YVr3o61blcLHcb375T/oXY9GdD/n3kfUYT641mveYPZJZHIeRkbmRaSZJj2PCcyoI1LnivgkGSGagv0RQNB2IhWW9itVLjSFNbWLnCWCleORAfQppCczo3j/QNHjaZEWs43inUSB9p2vegtpgQ3ssQyTESXK1X2WCQaZ6O+Ijoc6k5n0aV/nhrRdOPaY4KsK5GUUCNk+0L7mmMEZ45P9x/WwOKjXLsvn8ZMdfbxd3hDHpzMigWDnPyJPOV4ioKVz/eX8YYJM6nn1Ue0HohrTWOeI0mF4mDre72Z8XSjrmGICOyb+SQB5lk3oOjSQ1rWQ4V54Rj1a1fl+VUJD6ISeQvH2EmpRC9BdSXn+RvEiERG5OKGpECZCuoa2uLFigWdIoWmgGM+LKiPnXVu+5Vmu8aS+P4w1ehvOpQdqivxm4sPpqu7DXuF92F+T1x72fJb658kRbYsE2DAVoOUyGX2GWZWNBJ1EkGEfzmMdJbqPyNaVeaDV8t13Hsc592JFzZEyP3dU9fsxoMOIVOP8oD2AdHsjYUwEiWEu1vusE59fquiYH0Ail4iB0uvUqVqHfWFQ24XjvYZMw5u2K2qUbc1wYdQ/SL4MTuK8iHluoBeRFZo6T3ZQ56i7h/chBFMRdGaXqSmiYcZERAYz0HNQXqIwWRaip0kvryCsyEJExwn3nSoYRURhXowErvd/5zwRETlvt84JCnU3sh9Ws9pnRNy6iPxW4/QTXloEohUrVqxYsWLFihUrVqxYsWLFihUrVnxlXbvQ0pGaRCKOkfBjpoY010j5zhh2RIE9tKTxEpjY42RJ3+N6kuhR2plXD8ITiNEwkVKL/b5F9eBGUJapnep1p/AZovV2bzvUuz64rN/anlfvDoPPEgVZRLw1Fx1Fj08O8RAfXFCk2CyCfl6z/Yne9eMFrdNUpqC/ndZ2/NnN+3vX905P9q43A/lJDwWv2U/DCcRzMvpSLehunMkLR7RNiZ6iPDKnyM84PJJ5WOd3DauHhGgyog4Z49EPyTjT0vZLMAEMknxkurH+GHuEcVDOj2msx6qjXo7+oLZLFsgLelwy8AL2B3W8l33iu6SAAEwyILzhA1LhW9wSx/FsEmV5ceJY7zqCZ6pwkdCzWoDnbxrBoYkieai2qXd9tKpeoknMAyIGL9+m3th9ZfWEbkvoPO7vJq15tKLzgElUjpb0O4cLev2iMfUA0bNaauq6RIRsFsH0r5jScjFezBOzGhsxMaRjYiypHkciY5JAEroJfC4fOt67RwTkWEK9xcnQWqSIiMhFg+rp6o9oG1zVp/OA8R6Z/IeIFldqxYbc6/klK0+Vai0soVDEiDnnYE4sHNZxne0iCVcR42Xz5drvB4/pej12oa5tJw/rPpIZ8UYmMe7hYEL3Rq7FjFuXQhxexnIrInQqUSRu7D7GdaEnnN9ncPxFeE2ZlCSQB5oCz9eQxGXnLm2bIhC63Nvp8SUC0FnQ55t9SL6x2Jm3gQn9/s4hXVc2XaDz7fE5BIFHG/GanmPG0Vmc136/DOsZEb9EIhfiOj/JgFhCLMcc4hotL3TW2i0DinyYLen6e/lmXcfnKkBULyMYH2Rys+onZBa0+/T93LPm8c4+rDkZoGsYh5dJVPLBtegdotcZh/e7qzv0fUy6h9i7MSQuOAwUAuNjjuR0zSMaJovYsyMY208WFHnEmNXZi3WfPzKr8/K8QS2zK/motgX3mtmK9sER7E3UcxgncXwALJGajuvJvoK+H/FNqVMlRoHOpM5zTL87sUnHvxtHlOjGQcTI6rtA+3qppGVcBfpramJtW4iIDF6oY4kJEJjgi4kCM3kgMfD+COJQsv/6t2vZXP0u3U3C0QrYGIinK61qWJxA2IjDyRiUdcbqxFQmcodI3JZA9wFjhPGXKZyfRAxxrXUZG5wzg/06TmdP5nvXccQ8JQp/Zl7PjUx+1w/08a4MYnUC9TcVZDx+LRfPBw0P3UpEZAVMmT3JzvlrIIR18zTQjYW2zgeeMfziqXPtviCl+qLBokJCwqtSirb84vyVvevhmK6jh0q6RroMtCj0ACIdidhcxpmQ42pnv64b81WtH/dDnrvjEaLKe5cGEpZoVj6TAxKVqOrESOf51U3YA9GPRBdmx4C0xjjluOa6VULMaj/WRQbrGXWbEcQ9JKuPMQhnkSgskSIrszP/6itI9DKGNRe6lZtwRcREHZ4EA4TzbKGoY2YAqD/GjWz7MC2Yz4B77CL6nolheu+GnkP9lgl2OE4yce+1/zh0hQRQ9mTtFKkbI9EL0cuLNS0PZbGm43zyyo4uayCmoduN5rUtyEYL4PDO8dvLF/F8SaIyHFuVWDwilQiyDoNGOoFEBzQy0jC0OaNK0uMw+E3l9LePzXUoC0xaQurfi4bUgEC6Lw/4BSgxNPCRpsuBQNoiv3XFkB4cBiI64Kj8toPeiUvyXaW8FkJmSRi0fmZU6dTFQe8A7y8bRVINbBSiNhlZwOC/YFAPrX1IZEGKEOnPOSjIGVCta0igwYlc7o+sKeNkSvvUyCoIyiUp1OyndARBlZGwgkaRAibxjowqymzLNkxshMLTqPSCVMcYY9CHMTanm/ne9TeXLuhdv3bgPvGSKPqjDZoCaci3rVzeu74Yhj3KNhy2qLwUoKRQHqhuFhGRLVFtC9Kpx41A0cz2rGOfbVCCsZTZ5SgHyjpXSdPfkfQ2AL+0X43agygPKVhuQhr+ndmhmZDnZRNqVB+K6rjaX9JwA+enVakaA62fY5nJVSZBe4+Oeies4Rx6YlWNjCPxFTzTeU9/hEYfb/r5cER/Fw5g/YlpeUdAIcxgnTlWV2Vvual9wDK6BvFK8/Rh8c932T64IJFU1BhvpL3HR9Yepmkw68fhObpZxyAP0rt2qiHtJBLjkIIxmNJ+JMWD1JddfTrfpmHEGAK9fmK3jp851CPXpRHx3aMwkMexRwwjLEcRa+i9K5t71zS2NZGRNTGs9aBTisG9Xzal85mKJ8NrDFyu69v9T6hjbGhHx0HDRCUMgUJDz3geCTbwHfYvDxRUprdPqpPsgiyoLEvqTOE8Z1seWtG52odQLGyz9HjHGDMY0/biwWJ7SuufROB7Ktk0mD06r2uhn+NjCP3KvTSHw2+hpXs1szA/UEW9sfddEe+Mbe41eehQl6R031tF5tH7Vqb0mziQTmS8E+1tS+s8pDNla0IddtPIPMrkNEcQiuK8rNabByzX0TMU1TaiznX3oiYu2IGyMPQAnbOkhm3P6vN08u5EHzy2goQFGKtLVYQzQNtMwFCex16W7zqpmfGaSdueKOo+loIBPAiHM+fTdEjXmYuRsOFxlHcChoa7C1t610z8xTAhNApsSulvtyS1L5PdsCXFbl/Xig3RQDFWnk5GxpYknIoZB9wK6Mwpw8igv2OCAmaWZTiJQRhCynQcYS+LwhBZnIfhOAPqZtd4zTESienvFkCz5h5x8DB0vu3qDPCT7XHdM5n8pB8pkYOYw3Ti834urvsBj/yxnoWA7/AGDvB9cWSE5jfzmR/3rsvQ2YcAXugP6xr1f6av6F3/l6mv9a5poPzFQXUnP1nT9vvuzJbe9YtHDomIyAGsD9T1qfMSLMQEcTxP7lvQM4MRWgI2WSYspGOFIUmSpAfDyMdzaXZLoXftOkIryCI8vwSD1RDCN2FNosNlGZmBN43rmkSHC8O5MCEj68r9hSHbSOMuIVQKdRF+q1To9EMCDhnObf6OTuM8HIl5GFSpZ/G3fD6QQ5Ka2bw+A9ryUgWZxKGnMjSZu+5T76RjkE5Tjo3Fsta/+KR+f/MlqkuPDuveMTOH0BxJXYu4LjEJK/e+XJ/WiZni54paNpcyz6zRRhJE9COFobLG+7S8rgOu1fZ2wniJpTBbsWLFihUrVqxYsWLFihUrVqxYsWLFV9Y1AjEUcCQUcOQwYM9ZIMgWG2p1nkqqN5MwaaI8Lh5Ub+aP5iZ615vyBRERyUcVfUM6IxFvZVEPzQA8+dMltfbTC0DvPdOwr4B6zGtSWIgOI3V7JEY0kpZhttYpwyg8N4SBM0A4hai5YaCtGHScFMo6EFbHiznc1/ptShR61xVQgus+ZViqq/WfCUpcIcJzEcFk6U0m6jCLviSNm2hIJqxg2wyBzrdY1zE2GAMtB9TXhbY+Q9kW6XgiDzXUw7YTXsARoL1enDjUu46jzx6paxn31ZX+dGFMvSJxUQ/Qa7IP9K6ZZKQBtN6Jpo4lIh6IEmTQ5muSiu7zevd9VUV2BOErPT+mKBoGwY87Wt7zkWBmDl61/KD2AeVoQ9tgW+6R3vW+mlLs/21ZKRmk/rteVKJMavC4mve1fitAsUxgXK9iflCIvn1wRunSU0BccF1axfwjfZ5Bk0+GdZ65lLvNOX0facsnK6BTA+X7o4KueZuxphHREgqA3tjQcfLwskKQL8ppvw50+6/a9qZKW1krfdGyRGNNA2lHTyxRRS4tpwYqyYm09gsTQVGIxiYycWEFSaQwfhYxxhmqoR7Ra+6PXKM5frgHuEmtDi7rftyMA7nks0/R079lUhFTRPYP5HUtJv1ytqIe3B2giBLBMJbQ73Jv5z44Mab3XcojEV6sZxRu2q0Z7Q+i2k8Wtc+GgeLbnNbv5LFPxUGxvRDzzd3jRcx1xqAtI9kMKeNT3cRt1DeIPOP6N1vVdiR1lHvpygKoNUB2cOxRqAfsTirTYQj74FBQ23VHRJGEyQBpSWuR8jXsKWSJ5DBOk3mt60MlRTf+YE73LzJAuAcQdRgBCnSmCr0M45lB/9muF/ZpX7qMBiaM4LuvyKMsQPQRrcfxfn5OkU9s6+UZHTO1Ma0TEbqcK6T/LVR1DO/M6Vw8uAqdPN/pv1wYiBMA0jk/iY7vx1rAfZXjmvoJdTqyQYgq2prW+ff4E6oTbN6iZecey3nWQ1B2mygctnva6Uq7HZRWOyjVMlAxGPcMFUF6IOmGdSThcQq6ntWySNqGZFukENeASI/lEO4FZy63DCvVOO5h7gFJ1YS+HMvi7IOxfPCIIuvecPkPe9dXJJSxlse+E8FxPBbwPgdxHWvg/DeHMTvqhtwCV9HvfUQgRvDuVaBAh6CLLoruFxmsxaQ2v3X8u71rog4nwzr3VtveujHD7rjMO66VZCXwTMg1lMmaKLxfmYGec56uuTx/MsHESJ+u3RSe5YnmZ6KnWrjTN7VlIG77tb3qPonoski0xfAwPIuO51SvP7aU7137JcargQnUAjKR84xzpY4kMXGECnCTq5CNsoT2CvnQYMneo25K+wj1TlKh2b5bx3Q/YhmOFfK9ayOsCHQeV+86Djp3FOhQlj3qQ1teBZuA+jPLEgzrmJyeRcI+rEuDSEBH5CPf0wblmWVwKd3tA0iOeCX0elC780AmloFspW7uhm5oRk5/XzurBsRPfepT8vGPf1ymp6flsssuk09+8pNy9dVXn/bvZ2tpiYajBuWGNCoqsxQuSOSUD8EARNivuymMQ4k5Ucn3rkklpAHTgFVDUefAZsyirf06oQx4LZ6hYkZDFg9sNCZSyXUX30MlNbIkQdNl3MUZUKoGEBPhcEW/T0XryKoqm6wrf0s5hvbLRnRCETx7tJQXLxlCzAxS0lwhjYvGTLYjF4asD1Xa73l+fw4HNo6JxZC30XBrUhc+N37hK5IaVy4X1DZNBLxjS1EGQVcsxzTGSMPxXsBDxGQLFHFSrkXHcAyxZtoMTgMJdn9bhgISwiFtMnQI74YhwIiZCIp6QL8ZhEG+D3SWkVChd81YijRskgq9A4ZZHjrmG9rGC5VOjMzHV1XxY7xU0vYeX1Y6xGX9qvSUcZA7WNR5xizeP79lX+96W7++n3OeRl8aGbmBMHYc46C58QufRLxUGjS4Xj5R0nqQvnbfgh6gg/06lkhVprGiAGNmIanXP1rqlL1ZqomIZr/eqPLT7mkiIsdKOQlLzMiGRynMartfsL0z9kbHCr173Lt+NK1jp4xDV3qnjmWu10tB0DQQk5MZ7GdglPjhEdAfx9RAQerQyTL2I4xT1+nEmDsnEHs4zX0B6zIdQTzInXxEY9xe+UJ1avBwQVrtdsy9++d1vFOBPD+vdXpgVttyC4z97n7OWLekDJNKM0ADKfZstgHLy/rNw1nF/XMqqXoD92SKmaGadHf9rmt0WeJcxjX3VdLemUV7GRSz8Jx+pzyhY+kHi2qQu2hUD2+bEtqmPGDGEZ+XMYLjOCA3HDi6ZO3eN9PSNj1SH1zzdxEzVEMLexP7hkZkGvgZToa05aMr+d419b6jy3qfh6pL+pUC6epp/N0Snr2sT59dbOicKGPeFkDpaqf1PfccU+r/VReq3nA/HOeM48kyML7WMg4pC3Edn3TcumGFvnryot69ya6xWuQpcxjjivR56vI0HFBfO7Ck/RrGnkVnHMMJvGAX4vnioMpYaQcioD1291B3LWqUTp/qtd7lp93X5o7lJZiISyir87flQ62kQYV7GbO5xscQXgNUaAdxg0M+8RYp7cZaY5Nh0BZvIwTj8DJMOI3ru3fpvBqL6nzIBrD3QteNYD0L+sQeT8BR0oIuvSvC2OKd98QD3oY0CnV66tFxfH4ZsScZa5arLENI9CPjc8qIU6t9X2rrGrW/onsyxZ3bjDN/tJjvXXO/5fmM44prRR6hO5xhrVMMMRYP7VMdguHig/1a7yeOankZQ5gU1xyyPM+f6BiPwilvpwaNln6xEWmzoIGbdFhKYVnX4v5RXcePLeiZIHpC+6CU1Pr17VK9iG1JcR26aRg2CwHda2jsq8IgybWYYeX4POXEMgxvoFnn04g3iXMTnbjzJW0DhkJwHb7LiBvOGNSLC6rfDg3C2Ymyjw5BV0DZT07n9fEwDJFJZJbG3Dp5VPXEFEAxDfRrCtnkaRR0Yxye2Oq9dq4sedsguH/PIH61G+ahVT71uuHKWaMwf+ELX5CbbrpJPvShD8l9990nl112mVx77bUyOzt76h9bsWLFihUr55DYPc2KFStWrGwksfuaFStWrFh5qpw1BOInPvEJecc73iFve9vbRETkf/2v/yVf+cpX5G/+5m/kv/yX/3Ja71iuJyQSiRo0owPL6oU0stQBLUPUnR8tcQAB5Me7mZWJ0KOQktMPyjC9CfztCizvLCOt82HH+/4IEHekItNjTtrMEXi6z+/vbPj0ttLbxqyXDOiZBj35oXmlfRBqTFqZkVUZ8F4i+uhJJwJxAChQoljuPr6ld81MXKkuKozIByIleE3PPJGn7DMmHOE4qYPCx2+RLj2ODNyPLKgn68IBRb8tASlwpNlBbcYDikpsCb2TpDcQIeiNLiwThQGHK70Eq/CWpPB+Zk1exuszaD96PAHokHjXpTLn825KCTToKOpRNpAlTTzP7zChCxIRgWZM1OGhuqIHmO1uup7vXf+4oOPZpQISdUh0MSmapGsxk2cB6KjNKUUGMfQA1xl6TullpOebyZsY7J3PzCMBk/tOoouGsUalgaSMGVQ6rcdOIK9IGZvG2nK8pN5Bv7AMLoqk6eNh3EjybOxpIp1ESgEnKJPZQu8eEabZKR2HbrvSWx1CU7eBMu6b0DF4fFX7joHn4/DEGvQx7BPH5xRtnoGnnYhJ9jepNY39On5SL+qMQ477eki/w0QTRMJxfDGzbGY7Qok0vZF4nEv0XBuJSxBw+8Gmog45xheAUip3g1UTyUDUIcvL/ZBtynXAL+EaM1GPZ3SvoW7D7MiUOPZk6jxcQ46XO2OCHuo20CePzOueRuRDEN79I6v53nUrjnqXtf+YWZFSaqle8n8WXti7ZgiHzUBbXoQkYKSaHqh1yskQL0SdV7FfHAGjYj6qyIMfzChK0giwDuo25USNoVqApsc4eGxWkStsY6KZHgrofuQibEgjZzbr780ggRDgMiwv7xM1P+mTYZkZZamjEdlgZGQGPY73OY9dGYN+RCQRA9+TZsiA8aTJc89qOjr2V4HOeGxR25oJNMgYoV7Nuc3g8/vb2mZuG7hArVb5+ZGF+VnZ1wKd/1pIfhIEbZBomRXMDafmfebiutRCBucAUD8ry0DfMmkG1qvQrP62GO083ywBJd/vnUG2fhQZYZNaj2XM95NI9nMoPoDrvJZd9CwTgQ4cwTkgGvBGI7aM7MxrzwS81/DR3Y3nsRe0gUas4wQxh6QPDFP0wxISOiG5Sx7U5mno9YWW9jfPxj+cUUbDWHePI5KsCp2kiHnNuVxd0H4/ENV2L5a8adPTyDRMhCyT+UwXENYJyXRWgWKLxPR+BTRRN1GPX0IOrnl8pgK6/woQd6TVLz2hOlJ0AkkToccRhR5NAzUNFkq7ou1K9CITbtRq2PO7c7SGsleP65xY3oQzAJ5ZZSKkdr53zUQhBwMIaYN5y4Q1pDwTlccM6ky6RBSfu99EGZIA3yH1mHvayqN6Fkxs072M40SwRrSLQAuH9CFSykNAJhJ12DoB/XLCe8KWItE19WAiGwGScDWEtbDmPd4k1xljrebpn9XOyqmuXq/LvffeK3v37tWCBIOyd+9eufvuu9c8X6vVZGVlxfjPihUrVqxYORfkme5pInZfs2LFihUr567Ys5oVK1asWPGSs4JAnJ+fl1arJSMjI8b9kZEReeyxx9Y8f/PNN8uHP/zhNfdj9VWJRKLyMHjys4tqXX2omu9dJ2GZLiK5CpF2+/Zv0bJMqqf73x7reEWGRtRbFMP7dmR1k6zVgRCCNXp2WW21GSDeSnXEoGCAU6DJTgJNwdgxxxGodSiqyIpSWX9bL2l5jnXjTjRaeq8Jz81xoKeIKDwJT8FUVr1Lqys6fIpl8P3hoakjWPYMPE0ZJGMpreq3HHrwgKagt/fYPJK6xDvvObqKwKCO/p31oJeq7Wi//xAoMwa5r8HbVofn9MGT6vXJJdRD+e2HFbUwMqEe/vsOqxfsggFtkG9VOgiCvy4p2iKLWD8XpTXGUaGpfcM4dLvTT/SuZ5H8pNjWNhgM69i4f1XL+OKs/vYL01f1rp/4gSIbPvgf/rl3/dGHr+tdv2Lz473r63IPdt4xv1v/3vdo7zqOmC//NKdxc35+4OHeNZESX5m9pHd9zYCW8UhVPVP9iDnlhy7et6IohCJQtxTGf/s/j1wgIiIXb9OYhnNF7fflsL7jigFFIBbKOg9Cjrb1LNaZSFA9iF9/bEfveuuUzieOtxNPKvIhcQLJY16iz7PsqwUd2ye6nkuuUfmWPlsKEsFBTzNRhFreMudNU+8fegje4s2IJ4e4HqHut5rlzv8dx8f9vc7lme5pIv772vRMRIKJiBwCAifTp578CLzCi921JTasf29UgVa8R9eK4s96e01rxxFbapOO32BVH1p4QtcwJ6djaWEe6A/Eb80NIQh0AzFmE0BEHUp3fwd0BGJS9WeRDGJayxjNIM5wWNeB1Xn97RNAEZYRvDyLmEVNeJebDyH2ok5/md4DtMqC7jFVxJOsTHbGdjhFlAv2w5i2RRnJbjJ5Xesrj+V714nzC1onoGhGbkfyil/R/fOBGUWtZXJIYjKv4ycAtE86q/1BJGp7uVs/eOBjA/o+onhaJxGnbEzHQwFIseE79TsLF2u9j2W0HnPjeGdL99WLxnSdexzxY/fHtE7JTaqPUVpd1G0B6y/jR7ax1ywhPtNCUPeRalHXyPlp3Xs5Pvswlo45ul73Izb17HfyvWuEA5NGHhNwEvGr7wGi5PKCiIisxoEkAhKwUMZ6DfQ4WRHheNPzfvCkzon+i5QBUXpAnyk5et0E6jmWxPxf1Lapjut+88ijmlSr74LO3kB04+oxbesAUD9BoHhLQMUU51CWUf1+JA4EB4CtDczFJpC7zghik2GNMNBlJ/R+GM/rdzpjvF1xf7sx9zSRZ++sNvjNuoQiQSmOAVG0FSyrVSTzQNixFtA1IJFItQV2znGcN4Zw4IDuJkSEl7DmIK5h+MedMjibEEdblyGJHgGiqA8JrY7q+9oP6zp3cLt+P7YDZ9SlK3vXWbC7tiWV9UEd/45pTfp33bjqzGkkHqxA3z9Q7qxFAzhn7kpoglAm93u0pHvHpWlFdBcRg/b/d+Ty3vV/2PTj3vVxnK+5ph4PqF5437xeV5CQ4zwkZcpFdP2LN1VHefj7Hf092ESih806OApAGgaxx4bjBa2HHsMk8V3E5VMVVQo5JM3BOHS2abkqi1r2KPbPZlH3uwZQscES3pPrrlFAfrmJVTovB44rhXrMAs12Qus6/wJsJBHV18on9fncQ1qu2W267gb6kBQNaF05iVicc/qe8hTqARRds9gZbyHsQe0p7bvyYzoeQ0i0VR3HmA1SXwJysIGEJgHtg+o+nUPTW2ArmdG61jchyU8MyViWwLosda6jKS1LG3VrlbV/V6AD938PMVChxzkRMDawXgWgJ7ef0OfLZR1vTNPRyCH2KliZVTUDSBCowkI3FjmZHm3oCsG6fr8FJpKUwDqdxpgc6IyTdtVF2p96Xws4Z2H3O3HihExMTMh3v/td2bNnT+/++973PvnWt74l99xzj/F8rVaTWk07+/jx43LhhReesfJasWLFipWfXo4ePSqbNm069YPrTJ7pniZi9zUrVqxYWe+yUfc0EXtWs2LFipXno5zOvnZWEIiDg4MSCoVkZmbGuD8zMyOjo6Nrno/FYhKLqQU3nU7L0aNHxXEcmZqakqNHj0o2m13zu/UuKysrMjk5uWHrJ7Lx67jR6yey8eu40esn8tzX0XEcWV1dlfHx8VM/vA7lme5pIt772iOPPCIXXnihHWvrWDZ6/UQ2fh03ev1ENn4d7Z7204s9q52ebPS5JLLx67jR6ydi67gR5Fza186KATEajcqVV14pd9xxh7zuda8TEZF2uy133HGHvPvd7z7l74PBoGzatKkXXyObzW7IgeLKRq+fyMav40avn8jGr+NGr5/Ic1vHXC536ofWqfy0e5pIZ1+bmJgQETvWNoJs9PqJbPw6bvT6iWz8Oto97ScXe1Z7ZrLR6yey8eu40esnYuu4EeRc2NfOWhbmm266SW644Qa56qqr5Oqrr5Y///M/l1Kp1Mv0ZcWKFStWrKwXsXuaFStWrFjZSGL3NStWrFix8lQ5awbEN77xjTI3Nyd/9Ed/JNPT0/KCF7xAvv71r68J1mvFihUrVqyc62L3NCtWrFixspHE7mtWrFixYuWpctYMiCIi7373u0+b3uUlsVhMPvShDxkxNzaSbPT6iWz8Om70+ols/Dpu9PqJPD/qeCbE7mmnlo1ex41eP5GNX8eNXj+RjV/HjV6/Myl2X3t62ej1E9n4ddzo9ROxddwIci7V76xkYbZixYoVK1asWLFixYoVK1asWLFixcr6kODZLoAVK1asWLFixYoVK1asWLFixYoVK1bOXbEGRCtWrFixYsWKFStWrFixYsWKFStWrPiKNSBasWLFihUrVqxYsWLFihUrVqxYsWLFV6wB0YoVK1asWLFixYoVK1asWLFixYoVK76ybg2In/rUp2TLli0Sj8dl9+7d8v3vf/9sF8lTbr75ZnnhC18omUxGhoeH5XWve53s27fPeOblL3+5BAIB4793vetdxjNHjhyRV7/61ZJMJmV4eFh+7/d+T5rNpvHMXXfdJVdccYXEYjHZsWOH3Hrrrc919eSP//iP15T9/PPP7/29Wq3KjTfeKAMDA5JOp+X1r3+9zMzMrIu6ubJly5Y1dQwEAnLjjTeKyPrrv29/+9vyH/7Df5Dx8XEJBALypS99yfi74zjyR3/0RzI2NiaJREL27t0r+/fvN55ZXFyUt7zlLZLNZiWfz8uv/dqvSbFYNJ558MEH5ZprrpF4PC6Tk5PyJ3/yJ2vK8s///M9y/vnnSzwel0suuUS++tWvPud1bDQa8v73v18uueQSSaVSMj4+Lr/6q78qJ06cMN7h1e8f+9jHzok6nqoP3/rWt64p+3XXXWc8c6734fNR1sO+ttH3NJGNv69ttD1NxO5rdl/ryLneh883WQ97mojd10TsvnYu1m+j72sbfU87VR1F1vG+5qxD+fznP+9Eo1Hnb/7mb5yHH37Yecc73uHk83lnZmbmbBdtjVx77bXOZz/7Weehhx5yHnjgAedVr3qVMzU15RSLxd4zL3vZy5x3vOMdzsmTJ3v/LS8v9/7ebDadiy++2Nm7d69z//33O1/96ledwcFB5wMf+EDvmSeffNJJJpPOTTfd5DzyyCPOJz/5SScUCjlf//rXn9P6fehDH3Iuuugio+xzc3O9v7/rXe9yJicnnTvuuMP54Q9/6LzoRS9yXvziF6+LurkyOztr1O/22293RMS58847HcdZf/331a9+1fmDP/gD54tf/KIjIs5tt91m/P1jH/uYk8vlnC996UvOj370I+c1r3mNs3XrVqdSqfSeue6665zLLrvM+d73vuf827/9m7Njxw7nzW9+c+/vy8vLzsjIiPOWt7zFeeihh5x//Md/dBKJhPOXf/mXvWe+853vOKFQyPmTP/kT55FHHnH+8A//0IlEIs6Pf/zj57SOhULB2bt3r/OFL3zBeeyxx5y7777bufrqq50rr7zSeMfmzZudj3zkI0a/ct6ezTqeqg9vuOEG57rrrjPKvri4aDxzrvfh803Wy7620fc0x9n4+9pG29Mcx+5rdl/ryLneh88nWS97muPYfc1x7L52LtZvo+9rG31PO1UdHWf97mvr0oB49dVXOzfeeGPv361WyxkfH3duvvnms1iq05PZ2VlHRJxvfetbvXsve9nLnN/+7d/2/c1Xv/pVJxgMOtPT0717t9xyi5PNZp1areY4juO8733vcy666CLjd2984xuda6+99tmtwFPkQx/6kHPZZZd5/q1QKDiRSMT553/+5969Rx991BER5+6773Yc59yum5/89m//trN9+3an3W47jrO++++pi1m73XZGR0edj3/84717hULBicVizj/+4z86juM4jzzyiCMizg9+8IPeM1/72tecQCDgHD9+3HEcx/n0pz/t9PX19ernOI7z/ve/39m1a1fv3294wxucV7/61UZ5du/e7fz6r//6c1pHL/n+97/viIhz+PDh3r3Nmzc7f/Znf+b7m3Oljn4b0mtf+1rf36y3Pnw+yHrd1zbanuY4z799bSPtaY5j9zVX7L52bvfhRpf1uqc5jt3XHMfua45zbtVvo+9rG31Pc5yNta+tOwpzvV6Xe++9V/bu3du7FwwGZe/evXL33XefxZKdniwvL4uISH9/v3H/7//+72VwcFAuvvhi+cAHPiDlcrn3t7vvvlsuueQSGRkZ6d279tprZWVlRR5++OHeM2wT95kz0Sb79++X8fFx2bZtm7zlLW+RI0eOiIjIvffeK41GwyjX+eefL1NTU71ynet1e6rU63X5u7/7O/lP/+k/SSAQ6N1fz/1HOXjwoExPTxtlyeVysnv3bqPP8vm8XHXVVb1n9u7dK8FgUO65557eMy996UslGo32nrn22mtl3759srS01HvmXKizSGdeBgIByefzxv2PfexjMjAwIJdffrl8/OMfN6gM53od77rrLhkeHpZdu3bJb/zGb8jCwoJR9o3Wh+tZ1vO+thH3NJHnz7620fc0Ebuv2X1t/fbhepX1vKeJ2H1NxO5rbtnPxfqJPD/3tY24p4msz30t/BP96izK/Py8tFotY4KLiIyMjMhjjz12lkp1etJut+V3fud35CUveYlcfPHFvfu//Mu/LJs3b5bx8XF58MEH5f3vf7/s27dPvvjFL4qIyPT0tGd93b893TMrKytSqVQkkUg8J3XavXu33HrrrbJr1y45efKkfPjDH5ZrrrlGHnroIZmenpZoNLpmoo+MjJyy3OdC3bzkS1/6khQKBXnrW9/au7ee+++p4pbHqyws6/DwsPH3cDgs/f39xjNbt25d8w73b319fb51dt9xpqRarcr73/9+efOb3yzZbLZ3/z3veY9cccUV0t/fL9/97nflAx/4gJw8eVI+8YlP9Opxrtbxuuuuk1/8xV+UrVu3yhNPPCG///u/L9dff73cfffdEgqFNlwfrndZr/vaRtzTRJ5f+9pG39NYJruv2X3tXK7fRpL1uqeJ2H3tqWWz+9q5Vz+W6fmyr23EPU1k/e5r686AuJ7lxhtvlIceekj+/d//3bj/zne+s3d9ySWXyNjYmLziFa+QJ554QrZv336mi/mM5Prrr+9dX3rppbJ7927ZvHmz/NM//dMZXUjPlPz1X/+1XH/99TI+Pt67t5777/kujUZD3vCGN4jjOHLLLbcYf7vpppt615deeqlEo1H59V//dbn55pslFoud6aI+I3nTm97Uu77kkkvk0ksvle3bt8tdd90lr3jFK85iyaxsJNmIe5rI82tfs3vaxhO7r1mx8pOL3dfWv9h9bWPJRt3TRNbvvrbuKMyDg4MSCoXWZIaamZmR0dHRs1SqU8u73/1u+Zd/+Re58847ZdOmTU/77O7du0VE5MCBAyIiMjo66llf929P90w2mz2jG0M+n5edO3fKgQMHZHR0VOr1uhQKhTXlOlW53b893TNnum6HDx+Wb3zjG/L2t7/9aZ9bz/3nlufp5tfo6KjMzs4af282m7K4uPis9OuZmsfuhnT48GG5/fbbDY+Wl+zevVuazaYcOnRIRNZHHV3Ztm2bDA4OGmNyI/ThRpH1uK89X/Y0kY27rz0f9jSWye5ra8Xua+du/dazrMc9TcTua3ZfO/fr58rzZV97Pu1pIutnX1t3BsRoNCpXXnml3HHHHb177XZb7rjjDtmzZ89ZLJm3OI4j7373u+W2226Tb37zm2sgpl7ywAMPiIjI2NiYiIjs2bNHfvzjHxsDyJ1EF154Ye8Zton7zJluk2KxKE888YSMjY3JlVdeKZFIxCjXvn375MiRI71yrae6ffazn5Xh4WF59atf/bTPref+27p1q4yOjhplWVlZkXvuucfos0KhIPfee2/vmW9+85vSbrd7G/KePXvk29/+tjQajd4zt99+u+zatUv6+vp6z5ytOrsb0v79++Ub3/iGDAwMnPI3DzzwgASDwR6U/FyvI+XYsWOysLBgjMn13ocbSdbTvvZ829NENu6+9nzY00TsvvZ0Yve1c7d+61nW054mYvc1u6+tn/q58nzY155ve5rIOtrXfqLUK2dZPv/5zzuxWMy59dZbnUceecR55zvf6eTzeSNz0rkiv/Ebv+HkcjnnrrvuMlJ0l8tlx3Ec58CBA85HPvIR54c//KFz8OBB58tf/rKzbds256UvfWnvHW5q+Ve+8pXOAw884Hz96193hoaGPFPL/97v/Z7z6KOPOp/61Kee09Tyrrz3ve917rrrLufgwYPOd77zHWfv3r3O4OCgMzs76ziO47zrXe9ypqamnG9+85vOD3/4Q2fPnj3Onj171kXdKK1Wy5mamnLe//73G/fXY/+trq46999/v3P//fc7IuJ84hOfcO6///5eVquPfexjTj6fd7785S87Dz74oPPa177W2bp1q1OpVHrvuO6665zLL7/cueeee5x///d/d8477zwjpXyhUHBGRkacX/mVX3Eeeugh5/Of/7yTTCbXpJQPh8POn/7pnzqPPvqo86EPfeinSil/unWs1+vOa17zGmfTpk3OAw88YMxLN4PVd7/7XefP/uzPnAceeMB54oknnL/7u79zhoaGnF/91V89J+r4dPVbXV11fvd3f9e5++67nYMHDzrf+MY3nCuuuMI577zznGq12nvHud6HzzdZL/vaRt/THOf5sa9tpD3Ncey+Zve1jpzrffh8kvWypzmO3dccx+5rf/3Xf+2IiHPNNdc84/r9t//235zLLrvMicVijog4S0tLz0p9Nvq+ttH3tFPVcT3va+vSgOg4jvPJT37SmZqacqLRqHP11Vc73/ve9852kTxFRDz/++xnP+s4juMcOXLEeelLX+r09/c7sVjM2bFjh/N7v/d7zvLysvGeQ4cOOddff72TSCScwcFB573vfa/TaDSMZ+68807nBS94gRONRp1t27b1vvFcyhvf+EZnbGzMiUajzsTEhPPGN77ROXDgQO/vlUrF+c3f/E2nr6/PSSaTzi/8wi84J0+eXBd1o/zrv/6rIyLOvn37jPvrsf/uvPNOzzF5ww03OI7jOO122/ngBz/ojIyMOLFYzHnFK16xpt4LCwvOm9/8ZiedTjvZbNZ529ve5qyurhrP/OhHP3J+5md+xonFYs7ExITzsY99bE1Z/umf/snZuXOnE41GnYsuusj5yle+8pzX8eDBg77z8s4773Qcx3HuvfdeZ/fu3U4ul3Pi8bhzwQUXOB/96EeNBf1s1vHp6lcul51XvvKVztDQkBOJRJzNmzc773jHO9Yo7ed6Hz4fZT3saxt9T3Oc58e+tpH2NPdbdl+z+9q53ofPN1kPe5rj2H3Ncey+9tnPftYREedlL3vZM6rfJz/5SSeTyTgvetGLnL/6q79y/vZv/9ap1+vOf//v/9257bbbfqr6bPR9baPvaaeq43re1wKO4zinxilasWLFihUrVqxYsWLFihUrVqxsHLn11lvlbW97mxw8eFC2bNly2r/7+te/Ltdff73cfvvtsnfv3t79dDotv/RLvyS33nrrs19YK1bOsqy7GIhWrFixYsWKFStWrFixYsWKFStnS9yYifl8/uwWxIqVMyjWgGjFyhmSt771rZ5erT/+4z+WQCDQ+3cgEJB3v/vd8vd///eya9cuicfjcuWVV8q3v/3tM1haK1asWLFi5fTkrrvukquuukri8bhs375d/vIv/3LN3tZsNuW//tf/Ktu3b5dYLCZbtmyR3//935darXYWS27FihUrVqysla997WtyzTXXSCqVkkwmI69+9avl4Ycf7v395S9/udxwww0iIvLCF75QAoGAvPWtb5VAICClUkk+97nPSSAQ6N23YmWjSPhsF8CKFStr5Vvf+pZ84QtfkPe85z0Si8Xk05/+tFx33XXy/e9/Xy6++OKzXTwrVqxYsWJFRETuv/9+ue6662RsbEw+/OEPS6vVko985CMyNDRkPPf2t79dPve5z8kv/dIvyXvf+16555575Oabb5ZHH31UbrvttrNUeitWrFixYsWUv/3bv5UbbrhBrr32Wvkf/+N/SLlclltuuUV+5md+Ru6//37ZsmWL/MEf/IHs2rVLPvOZz8hHPvIR2bp1q2zfvl327t0rb3/72+Xqq6+Wd77znSIisn379rNcIytWnj2xBkQrVs5Beeihh+SHP/yhXHnllSIi8qY3vUl27dolf/RHfyRf/OIXz3LprFixYsWKlY586EMfklAoJN/5zndkfHxcRETe8IY3yAUXXNB75kc/+pF87nOfk7e//e3yv//3/xYRkd/8zd+U4eFh+dM//VO588475Wd/9mfPSvmtWLFixYoVV4rForznPe+Rt7/97fKZz3ymd/+GG26QXbt2yUc/+lH5zGc+Iz//8z8vx48fl8985jNy/fXXy1VXXSUiInv27JF3vetdsm3bNvmP//E/nq1qWLHynImlMFuxcg7Knj17esZDEZGpqSl57WtfK//6r/8qrVbrLJbMihUrVqxY6Uir1ZJvfOMb8rrXva5nPBQR2bFjh1x//fW9f3/1q18VEZGbbrrJ+P173/teERH5yle+cgZKa8WKFStWrDy93H777VIoFOTNb36zzM/P9/4LhUKye/duufPOO892Ea1YOatiEYhWrJyDct555625t3PnTimXyzI3Nyejo6NnoVRWrFixYsWKyuzsrFQqFdmxY8eav/He4cOHJRgMrnludHRU8vm8HD58+DkvqxUrVqxYsXIq2b9/v4iI/NzP/Zzn37PZ7JksjhUr55xYA6IVK2dIGEyeYhGFVqxYsWLl+SB++6AVK1asWLFyLki73RaRThxEL8BGOGzNJ1ae32JngBUrZ0j6+vqkUCisue+FvHC9X5THH39cksnkmsD0VqxYsWLFytmQ4eFhicfjcuDAgTV/473NmzdLu92W/fv3G7ERZ2ZmpFAoyObNm89Iea1YsWLFipWnEzfhyfDwsOzdu/cneod1llnZyGJjIFqxcoZk+/btsry8LA8++GDv3smTJz2zT959991y33339f599OhR+fKXvyyvfOUrJRQKnZHyWrFixYoVK08noVBI9u7dK1/60pfkxIkTvfsHDhyQr33ta71/v+pVrxIRkT//8z83fv+JT3xCRERe/epXP/eFtWLFihUrVk4h1157rWSzWfnoRz8qjUZjzd/n5uZO+Y5UKuUJGrFiZSOIRSBasXKG5E1vepO8//3vl1/4hV+Q97znPVIul+WWW26RnTt3GsZCEZGLL75Yrr32WnnPe94jsVhMPv3pT4uIyIc//OGzUXQrVqxYsWLFU/74j/9Y/t//+3/ykpe8RH7jN35DWq2W/MVf/IVcfPHF8sADD4iIyGWXXSY33HCDfOYzn5FCoSAve9nL5Pvf/7587nOfk9e97nU2A7MVK1asWDknJJvNyi233CK/8iu/IldccYW86U1vkqGhITly5Ih85StfkZe85CXyF3/xF0/7jiuvvFK+8Y1vyCc+8QkZHx+XrVu3yu7du89QDaxYeW7FGhCtWDlDMjAwILfddpvcdNNN8r73vU+2bt0qN998s+zfv3+NAfFlL3uZ7NmzRz784Q/LkSNH5MILL5Rbb71VLr300rNUeitWrFixYmWtXHnllfK1r31Nfvd3f1c++MEPyuTkpHzkIx+RRx99VB577LHec3/1V38l27Ztk1tvvVVuu+02GR0dlQ984APyoQ996CyW3ooVK1asWDHll3/5l2V8fFw+9rGPycc//nGp1WoyMTEh11xzjbztbW875e8/8YlPyDvf+U75wz/8Q6lUKnLDDTdYA6KVDSMBx3Gcs10IK1asqAQCAbnxxhtP6d2yYsWKFStWzlV53eteJw8//LBnTF8rVqxYsWLFihUr609sDEQrVqxYsWLFihUrP7FUKhXj3/v375evfvWr8vKXv/zsFMiKFStWrFixYsXKsy6WwmzFihUrVqxYsWLlJ5Zt27bJW9/6Vtm2bZscPnxYbrnlFolGo/K+973vbBfNihUrVqxYsWLFyrMk1oBoxYoVK1asWLFi5SeW6667Tv7xH/9RpqenJRaLyZ49e+SjH/2onHfeeWe7aFasWLFixYoVK1aeJbExEK1YsWLFihUrVqxYsWLFihUrVqxYseIrNgaiFStWrFixYsWKFStWrFixYsWKFStWfMUaEK1YsWLFihUrVqxYsWLFihUrVqxYseIr6zIGYrvdlhMnTkgmk5FAIHC2i2PFihUrVp5GHMeR1dVVGR8fl2DQ+q28xO5rVqxYsbI+xO5ppxa7p1mxYsXK+pFnsq+tSwPiiRMnZHJy8mwXw4oVK1asPAM5evSobNq06WwX45wUu69ZsWLFyvoSu6f5i93TrFixYmX9yensa+vSgJjJZERE5Lxf/yMJRePSyOjfgk29DrT1upHVXDGxOfWENdJ4MRxksSW9rvV1/u9E8CzeHarqtRPCtY/xtpXQsgSQwiZQ8/bQ8Rn+NljF87gMV/S6mVh7P7qq94pT+r5wUV/SjrLAetlm2VsBXOszwTqe92mzxIJeV0b0OtDA4ywDq4r3BGud/7OteZ0+ju8M6XWL5cK7najWL1TSP7BN+f7aAPoD/RdBGzeTeh1C/Ybu7zTUiWu0oqxbO+rd1uEi3p3Sa36zFcN1Cu9poM/wrQDmjd/4aeOdITxTG+3+GO0YyuggaJa0sQMR/Wgkrh9tVPSZSEIbqd3Wl7bqmFyQ4LL+th1Bf6CukUXttCbWgvCqx5jnWEN/cf6z/ryu93vfD5f0ujKK/kD93LEsYrY15xb7yVhfgmufcTiuUfZmn74kXNAtgN+h8DsBn3WvHX7659u1qhz8/36kt3ZbWStu21z2+g9KKBI32rQd4Vqk48d9xglyXmMNq+l1K6bPGM8jj1qoivmDsUYJNvWZap/OyfQJnSyhmg6mWl4HXzOhgyNS6gyOyoC+IzmnHzX2b/yO+2EzifnT8K5rfEHLUh7heOc81HeyfUM1/UMjo+VspPT9+cer3brp3+tZvWYZoytouwGtE+dqpKTPxBe0PVantB2H7l3pXS9cmtUf4z35x8u969JEXLzEmPPdzzYy+pLEnD5Qz4XWPCsiEqzrP6JFtPWwtnV0VduRY0Aw9tpR772p7b3sG+OTelerO1fc8SUi0opj/pT1m420loXjx9Axmpxv+p5mQq/Tx3TsN1JaGEMfxG9b1G0g0WXsj6VWt+wcd1xc9ZJrBcuVf1w3lfKofpTrAn/L9mDZOSeanFtLWl7qeoY+0Z1DnBMBtKkToj6OPRvzIFzW71QGvcdhpOxdJ+5HIeimnMPs4+RJLXwRcy453eyWsfP9VqMqD9z2X+2e9jTits3lr/1DCUXixpys9nv3o7G/RQOez1DY11wTuC45PvOD+4T7ntiy94diBV3buGelpvWjzbgONu7ZHNdcWxIzGGubdKwlsGexnaIr+uMQ6lfL63djS63u9/Ue65k5qPvC0gV6gAhiP0zM6/fDRV3ban26htSzWCswx1jvJrYdo94L+o/SMNqM62K3OGHomfxdHWtVuOq999dxvk/NYC9Pee+9YayLdfRZeVyfaSb1PeFVvIdrTkjfkz7SeU9lUP8eX8SzfmfXE1hb8W7upVxHawP6EOtk6DZYR0vjOq7KOBtHVbXwPfO5NoRImfu6fpR6pAROraMZ+z32kUgRz2NscD+nDpM7oGN7dasevDl3i2Phbtk53nWMV4a0AKEKxgx1BawzmcPaMI2M/pb6D/fqJsvOpQZtwD6m3hBd0Xq4a00EOlcr7qPPYG6XxrSMqZNa7/Jop7ytelV+/IXT29fWpQHRhcKHonEJxeLSxiIVxIGfg7IVx6GAmwb1ahpAOHG6zxgKEg/SGASOj+JCcVAWDqCgD8Sfz/C3IcPSgfK0+fza+yEYKoJ8Hwwu4mPAEJbdx4AYYrG4IbDN8P4g+4+HhdMwILqP+xluQ3gHv+n3bhrtQk0siGxTvN9oP/QfFVWjD/DbcDjYfYe3AVF8DIg0QnL88puC+8Z4C3kv2lwQ/cYPxwTHfDCx1oAYTGIha3sbEHu/E5Gg6DPBJDoTBjYn5GNArGFios2CqGsoBiXFb8x7GBA5Hjn/2Ua8DnrMNxGREBVb9gfqx3njN/+CPgZEY0x6GBBZdqPdqz+FAZE6QuTUz4uIpTE9jfT2tUhcQtG4BKh/QCkP0fB1CgNiGNeCw5ifATGMdwd9uiqIDSkU1QkSDut1qAWlJkKNEEp/dy0w3hHxNiA6+J2xH6JOIfGuaziiZQlFT8OACKU81IYSj3LyYBt2XxnB33HtGGVh23kfYkJQ/Ngeoai2YxibeCjKUxrqEcZBJ+JjQKSO0v1s26ftWqi/sXdw/IS92zqMdZ9jgAbElo8BMeBnQORr+Ex3roTr1MhRJ7RvG33AcW2sc7jfwjw0+xX9HfE2IPJgLT4GRLaT25YBjqsoF1dcUu80xibmR1Q/ynXBcFRwTKLsXHPMevsYEDkOu3OI44dtTaMsx54xDxownES9DU+h5tp1UcTcj8J4nt8KBk9jznXvcx0QsXva0wn3tHAkbowXv37k+tvyMSAaoArqZdTdsLY4PvOD64Krw4SgQ1LMfYT7HpQyrG2c737OEf+x5vMtth/q14xyX11rQKT+wH2BewcNiPw+9/VWRNeQFtcKLktcI330WKMe0M0DHgZE6pn8Hb8f8tFzeOYz1iq/vZfOVK4PPKMmUPYG+tvHgOi+J8SzAcrlp8cb5Q173w8EOAa8DYhBv3bHuDLKBvtAgGe+9tpnuC4b+0KLkxXt6KOjGfs95jP1Jd43fsv6+YxtLx2QeoChu3IeNr3HTNA4x3OdgfEx6m1AZDv5GRDNfdVbH3PXGt4LYM6zrQNBjkeuM6y3aQ48nX1tXRoQXalnzYEv4m/koyGCndnC78NqvJbShDZ4pItEI7LO8VFeDTRSDu/GfQGqK1SBN4yTGF4Xog7DZW8jFetNVKWhwEbXlouGKaPtfDbrQNN78NOwQfQb2zoC5JyL6hR5qkdOr8tj3s+0PYwVXES42JZHve+z7RKzel2awOZ3ClRV5xqLI73b7Hugz9jHs1d1OoQLttHXQEA206eB1DC8rN7ISBpIiThlnwV9NhAKvyXRriEAhiljwc5hUccu5GCXa0X1+WhU31Na1smSyOikqAGx2I5hAefCy83vhHZgDW1Q619rzKdX0UDZYdzRG8Z+N9YIzL0GQEJECwbxfn6rgf4OOt4LuR9atdW1/HCMG2iyOLxYGW7E8HQRsQkEa3TJe+OuA9UZxBrhzhtnXe80Z1ZCNUfCbcfwVHLsce65Xlwiiuhg4AHMMZwHtMLh3ZG1fSciEoYnlp5/vqcyqAULNoHGy3g/H+uil2IrKBeUuireRw8yhfd5oGhF9LelUZYL+zq820QJGgjzPIxBVCEwn1Y3x7rvg2JPZRvzsJb1nj/io08YKD6Utx3XAWHMLfRlcQpr5ywQckBSVoFcccdN9qAWuLhJFzoitui9zxxU5WZ5h3r9aRgi2oAoCCIJ6Pyl3iAh7/tRtDfHmHsQ9kPQck4QuWLMAxrVwt77bQxooGbS22hIBGllmCcgFQNpC2SMWyceAP0Ohoaui3rwm8YBlwcajD0inxpwAnL9iQEd0cC8IQIle5jQfaf7LMey/plrS7yghXeRIiIiMdz3Q1VHV71RW3SWxBe0XK2o96ZUGdL7xre664vbp82GzwCzskaiq20JR9rG3DPXBOoPQIFBP4kvAr3Y540GMnR86LHCZ2jI95jzdBLQuRascZLBGA4jg4v+ExGp9WONhqeGhm4i4g00b8i7jFxbDEchUJvuPs+5aSCg0hHP+0Q3EvXdBKoqeUIPybGC3l/aqQebOoBLBlgF61UDawX3r4FHtaMWLuz8gf1LnUh8zmSxgreRsTjKPUKfT849xcvt/jburRNQ/PZ5B8aXahfdFwfrjqw0novZv35jP7IC1Ni4HnK4rxroV4OlgTnnMWaeWga/c697XmxgIyHKlv3OdZn7G/dvshIMEBgNkXLqOVEZjXs+UxqBEb675xMdG6rAkF/TAclyce1KH9fOJruDaEDq4dxH/MYS+8NP12rC2O4ikKv93vuVgdgOe8+32IIeOkPVjq7XbBKJ9PRiI/9asWLFihUrVqxYsWLFihUrVqxYsWLFV9Y3LiTUsT4TCRcCitAv9gnjuvHHRPcR5eVaqvkOeg2ILjJiMMLLwW8a5fVBLBnxZ1CuaAHvgUegMozfetCSRDR2nhEzEt/3Q/kZ+CdCYUs+HgFQNA1PN6kqPt7wel6v4/N6XUX8CMa5c73LRHiyfds+VCEiSEqIb8F6EJVnxJ4jnBzjre1D1zYQQ14QfQNJCs8DxpifN4z15rtDdbwHMS1qfXgPOxb1rgMdasQH8UFSSr1ToFAaHuIlfSA3rBVptuCBIl0RnRbD/ciA/pbxEOtBcnK9KSfkPpQ3wTuXAOS7CSpDFznHeWDEgCR6E548w5vI2JdAAvM9BiIU6MnwAj149AiuHe9P/ZYXMpjj16BAxNDujEO5pD9gLEcKkVp+lCIjDIAbp9Wni6yslUBb/3PFiAdWWYu8MtBeaH+uJ4l5ogi9Ua2Mq0SkYRyxh8y4Ud4oZo5Tv33Y3Q/MGGygS2E9M2IWBfm8/sPwtPuAg8y5Tc+8d5v5eYsTi7qGuG3A+DO+9GiizaPe+6ThgeccwztXtuqC4ue5NtoPqMPkUd20Kv2qDDS7/VcaR6w8jgegJ4kEWdmmC6CBKkK56ui/ANHx0JH80KQc+xwH9PYbyIbVzvPsR/eeiIleMtYl3OY3gz6UyhYRvegbY04AweC33/L5OGIcuXHNsGUa9aAYiCUIxwPFjD/ljejjOlNC/EtjLUK9uTcw3iHf6Qrj03EMcM0xwnKAjp46CT0Dcb84BogsbWB/NsYP6mHq2/r+Wm5tPVzaYttmXj5tqWeC0o4EzdAZ6Pc4kHtc0w29FChjorH9kFqGnsw4rdSH81yzO/9PIv4fx2M9C6QP9rEqkIaZx/XlLjJdxDwzxE8AlQy0K9dXxv2jcGxGl7QQgYaWwd1DGQKAwj02OatlIWqXSCbOpcIuVWprOayv6I9YQe+XkIOBZ/MUzhKce6ub1pokvOL4i4hxxvLTPbh/VnFGNhh+PlRs6u8G0rDsjcwme8zhObmrAxOVyHOjsQf56Mm1HNcthLTAut/E+EmdINIasTVnEZs+ro1GnZ1oxLY3aL5nFOD3GUqginNmqK5lzz2m86M6ovE3/dDurDfXiMwhVaRWtoP1EPLWUYJNj7UebV3rBzWfscKJ0MV+4be/BQDd5W+pa6Yw/9tAFHJvok5ABGcFc9S1CbCejEkZXcbcHgBtGXrZ8k4d5O7Yb9W9Eblesq4NiE7XgNgOrZ2snQdwyT0Ji03mkD5PuivFnVwGNY8wUARErYxgo1qGQkVYd5WKFu7jcOEHI6axwo8u2UaMBtIxa12jgHG4QnNxU+Ri2CYXnrRT77BKJuwZbUZqNQ9JfkZX9geNKAGjH5zuN70VE37Hj1ptwPtT1Oz1MnWSByaUi1RWHwoWqbQGHSm0tlx8Bw290WXxFCO2nc/Bk4lWOFZJs3YQx4HJfFg/I1kQV47u4y3QFrNDqiE4PhTcaAgB9yvaCKG4TgTGYajW9JloTCtbndP7gX4dxCHQqNuLiMPY8FH8u2OsAcp1dAFUXs5J9i8M5obxgXMy7vNOzAl3foo8lZJGY+WpjYmuEd5wCNBQybnEgRKD8k1qfsX7EEwl11DgGGhKvPveir8k5moSDgekOsh4QxwDa8cvDwtUVuj4SB2G1r5ZFwXSao3A8+i6Wv+pVQUjjATXJShvDNrsBqumoYJKFMcvD4889JBiwnqTEpc7iEQSIwgCD+NKYpEGINCcqTSiDKT+pmY7Fedh04hbA6WO/cS6Gus+DDGJGf1Dadxbm+e+zYMfqVz8bnGr9j0VTleJZ3/QKMrkAjSY8cDBwyZjakVw8PNLcMGDLZXmcFmvHQS3q+W9k7SEu8lHVicRj4gBPbnFMzynT9IOwzDlSzPigu29XtKgG1v2NsgbYQa61TaM3hgb+X06nxcu0Y3E0EMMx463YTw17W2I5XinGH2W8l47OD5c2hXbLjGng7YBw4yDINFGUhQctJiogtuXSeEj1Utw37uts4+ro7K4ReeHEa6m+61Kf9ewW/fRI6ysEScYkHYoYKwJNDoxVAQlewThFODYCFc5f/S3mXsO964Xfn6rPoP1z5gfEPf85faviElDNM5KNe91oDaiBzRSglk/rql00BghOGDQ4VrB/c4ZVKWLa0hyutNmq1Ogt1a81+U6HEvG+Q9rBeeMkXzJh45uhI0iEAU6YpLJYyZI9dZn3P7wC7fAPY2OFe6f6RO6ti3vwDoOUE51mIuk3u9/RO8vXiyewkSmjT7st3nVOZqVbsy9gxy/+g4/AJRBCcb+WRqFMcgnWUkjE/Z8hmstDe90Ihk2CYwJw3gbcH+nt3jOjeG8yr1x6WI9dBpxlH30CYO+jrHPBCkU7o8cH5xnbhIwrj/UeWqGs6zt+UwJ4TWYGM/PYWckwuTZPOH9PMMZcL9j/VxniZ+j3TDv0UHNBGfoGyZFOl2xO6AVK1asWLFixYoVK1asWLFixYoVK1Z8ZX0jEMOOOGHHQKTR40HUFuml9ICXJvSaXh8mx3At5Wawa70mtZPfIerQQIcxoC+SJUSQ1KJJ2muSXqq16DuRp9KWvVFQ7m0m2KAQGWlmhoL3qu5tMTeEHhWDOk5IqHcZ6f0gaooWfIeZmbp974dqMGgMpOACFs9yGZ4CJJVgfxtl8ZlBRPqVNpE+QYh15/9+yEG/RB38poH8Cnl70tgHlTH0JZCGBqoT/cE5IaAsGH3ZRa6FkfwkEdVKNduAoWMSEdhKJBzv1+tIgBAEig/owsaIusYcfCuI9mgNqUfQqcHruuLRgRjvnM/sd87JADM5G95Sb1RTI6fX8Rlvbxup/EQ4GgmgUkzaAO91spvUpuSNcAqhHSsrgBHX8DxQh2EmesKcbGGM8ZkGk/l026ntRzO3skaKEzEJR2IGwpSeSiJzWt37RPlxnNLzugz6UW4fwgqcr/dTx3UuBRFlujLonTHTTJ7lvX8YVFYgHlykAPcUA4FARISxznHc6VgOIhxBHOi7lSmdxGw7LjSRVe9kF2x31oloPJdWwr2ZHnUDcdIAKhr1IN2klqPn2Bs5R2RM6pjCGUoToCVFvPdq1onIvYCbcdon+x7RJ0QvsH9Tx4H2HNOy0JPPJAX02DfJEECSAjNwOJNw6dPxOf1uabw7blGN2DLCVoATXO33QQOhz4xkJURQEXkAdISZWISZub1RPWy/ygCCvXfb20yOpr9buoBIUm8EjiE+jBwmK4kwsD7RPkxIATHGMIPiJznmO+/MHNWXEAnD/mVdOTbLQ0Cnot1rQEm2fRIBEI0crnkjTWqDyEbb5P6Pvc8nHI6V05BA5z/2kTHfGOIJ56zihDa6EeoCSBvO7aWfVdRhE/tRAmOT85mJtNyzo7nX+tD5qPIZbB/sbz5hN4ikIgo+A2oj18jErM6bhUsUeZUmFRJnlXpurU5LKmgISUO4nhmhSYy1St9jJBJDO5aQ8JJ7dYRUZbTB0nnYYwEmI73cPXOlTnozfAwq5ha0NSnRU0h2gz2T32SlqHPMX6HXDHtEiS1oW1fJhEQ24Fa5U4bqJu2vKM4dpN0vb+W49vykL2rNYL1xHcX8YNIeg82Is2AzQxYD9mqGauqqiVWwpph8k98PYD012DFoUtKD+dvsk6qPkmYcKSHUR46oSu8wB0aYju4Y4l4QLiFsVhlhMcAqoU5gJFQ5pLr06g4we1AWI/FY2luXji1i/hv6B9oGCP3cjztZecrb+3r3uJczYQ7XWorRjl1WjV/YHi95xgbEb3/72/Lxj39c7r33Xjl58qTcdttt8rrXvU5ERBqNhvzhH/6hfPWrX5Unn3xScrmc7N27Vz72sY/J+LgGmltcXJTf+q3fkv/7f/+vBINBef3rXy//83/+T0mn0z5f9RaXwkxqJaG+lSG9TszpdXkcCgWMdkEozi0c2jMHO/d5qOffy4ihZxjbWt7vM+lNmKCoPhfSlhFvjbQOfIvGPxoZPIyFRjw/I84MnvGJh8h6MEtwyzDCeStdfhmfjThIS3pdMeJaeJfNVWyNTQ4LOenXRnzFOT7P8pI6oM9wsTXaoOxdVxoNifM1shd3xwpprByPVEwaWe8FwK9dGD+S1FjDyGhoQXpJ46BBfUVdGV8w2KUHx/pAqSpopUYHtCGLNW2kWBgxLVI6iaNhLOagOa9UkOmtoYtwDDH9inO6gLd5+KdDAJs7qcWuITCyjMNgHn83jKw8lHBcQ4mocn54b/p+awrbl4ZAJ+6t0BrUe/eSn8SiEKQxj9npQe2mc4IUeArLazgfSId3165z2H54Lu1pIp31qB0OGEoKDQRGJt/ucHBptCJmnBSDuoFYKZUJXdCSoMka8exoEIPybTjpeMiPe8dQMo3qa+eBQXMyqPve45T1aMH4QMouD2k0thm0GVBcyqPe9GAzjg7fw8yxnetqH4w/6C8a25yAdxsxPjD7mgp/GM/zcNzIIf4VDDdRGO0CNe9xwOyg7j7MA1jQMKp5l5F92kpoeZMzqlCQThfyiX8X4LdQPx4KGBs2d0CVvXqf7ivuIYVlLI6jHXGfhjHut3WfDKaMBUoDQeYJVdgKFylNi7FGDbotDN9sP4PK1X094yEZRmT0Keenw5hwS+x3fcaIqwSjJeOakdLNQyANhTQA8341TxpY57cMH+AXo9SIBYpvst6kcRnxRUHVi67oB+hAaLS827JsZGrHO2GkcPvBfYPjbVM4Z+Sc2tccN66vj8EKew0pu8zW6xeblk4pZg82w0BhPcE7adBw9fe+x7FuTZJ26r2ncT0xzl48k+il6WDAuYIGbe59S7vUumrUG8YNri1Od4yTAstxzD3Tz8lkGoD02ox/jGd8shH7hY1a3Yq1hdt8ZO3cXp2CIYRhc8a8jVFGLFuE9onimoAQ49xd0Ot6HgXzMSBWh7XPeL6tl7Tzo12AQ6PCw59eL+30jv9HynACThM/p6apr0H/wLgyxgkzbQPIxDNRbBF7Q16fr3b3klgB72ACZIJQMGaMjMKGHqLPk47eTGo7cYyV4eTN7tdzZ2hM5wr1YL7TbbMYnI71AYTBolHdiI+JMx+N13DM0wZAoA/1tWQB59siQnH5hCRowYbBvWnp8oFO2bEOMH4rxwBp0HSaVhn7sXvZqnmvCV7yjCnMpVJJLrvsMvnUpz615m/lclnuu+8++eAHPyj33XeffPGLX5R9+/bJa17zGuO5t7zlLfLwww/L7bffLv/yL/8i3/72t+Wd73znMy2KFStWrFix8lOJ3dOsWLFixcpGEruvWbFixYqV50qeMQLx+uuvl+uvv97zb7lcTm6//Xbj3l/8xV/I1VdfLUeOHJGpqSl59NFH5etf/7r84Ac/kKuuukpERD75yU/Kq171KvnTP/1Tw/t1ulLPe2fvc2DNLwNiTcqhXxal+Lw+43pL/KirRpZUA+GFd4NuGKzRbuuN3GEylnDRJ5g1vWAVb89QI0fqTueZEJBGTZSrmfb2CPglMCECyfHx+rAs9PYzQUi9n0HS4TUAfLqe8/b+uR4uemsMNGLYuz9qA96eaMJ+a334AVw3bYPGideEPB+XQNW7b9xy+o0r0kWJSJOWt0fCQLOCCs5+Yv8xE5iBcPRBi3nR4UWUel+pqjdjuF8RGa229/gl0nC1qt6XIFCgQbidSJlNIIlKCVDVaA40qarP8mZkQNFLt8/ojTNoXz5zu4H1xy9Dm4F8goeHVOh2hNQSeuefGXzPDb9gZI3G2AhycJaRNYxe1qp3n/GnyZP6TGkKiBqGGHBv+7TduSDn2p7WjogEIibizMhDZCBLO/9bBcKKCC+iq0M+iTpIFyWisARUTmKeUDG8h1Qy/JbljS+2PO+7CAkjAPycPkuvbTDhXScDQU+khEGZ90acmEHj8R5Wles7vkVKmFtmAx0ClKgftZK0Xj5DKoubaEbEROOwDWrICEgKKtuvCXSo0Waoq0sXYoZnAwXv832TEeCdDMFAcjZOvdcY666x3+s/ilNaTiIl3e72C75v6CroAyNTNBBApBOGKto3pTGFXBQuVNQhxQ8Z45esxEA5dS+JNCSSgtS0yjCQGvhmZYC0K70fxvrOecCGN0J2+CBCOef80INuwiHWzcjuiSozyVKtT+sUI20ZKMmwD62+HUZ7oC85DhNEkzL4fs27nO64ddFsgXMcgXgu7WuxxaaEI00ja3YEiNUWkt7Eltiwup7Ug1zzvPeAvv1AD25i9lnVC1c367wlqio50+nfhQt1osQLRCtjrDHxGPcdUAyNpEVc98veexlRh3wn922+x0iYwHU0tba8TFpClF8F/cGxPvgjPVAVJ7W9TIQVdVTBM95nJYYFa0dxHsaZi8hEVyKrXJf1PvV0IxwT1dhBvU4fQRkH9Jp6chHfj6xgjUZ/G1Rhhj1La0clUgiZ1F0YmY+nMoJ/8JhHFiDqwbWT/UpEL7NoNzxCSIiYaFnqQu0UdDTo6lWEruH4cPuboQeIgg8v6DXDWXC/JWOD5x1DT81wX/NG3DPpFfvGL1yN+0x1GGdOZoSf176r5aELEe2Od5MGTOYLGTksV3UQFGmip/2scQFv3cndy8ywI/psaQT0fbQdmTrcy12mQNCH7uwlz3kSleXlZQkEApLP50VE5O6775Z8Pt/bkERE9u7dK8FgUO655x7Pd9RqNVlZWTH+s2LFihUrVs60PBt7mojd16xYsWLFyrkh9qxmxYoVK1ZOV57TJCrValXe//73y5vf/GbJZjuQqOnpaRkeHjYLEQ5Lf3+/TE9Pe77n5ptvlg9/+MOn9U2iCENA5TmGJ1GvjSQfCB7KuHGuJ8CI80dkQgzIobp34FxhwhMGFU3Ts0CPFZ+Bt6ZOa7R3bAgHXgFKuBtLzc8zT48HEzdEFxETLuPtUeL3+YwRPBiow4BfDBwjGQyfRxwFjVnaQyYyjgVRfIzT2Mj4BESm05+B8peIgERZiLjAGGNfGt/FfSJb611PuoFgpVMRSC72e2TV2/va9Ol3I14hkAdsp8iKdz04xoz6ARXrxgk0wjvCVVhBRqDBlMaraGMg1pF5IwJvWKGqlRrM6G+rDZ3QEcRSbCFAfhixEZsFRnb2RrP2vKXwBEcKCOYPtC5j/jWB3jSS6gS8v8P5zDlkxCkkShpeXI6JcMHbw9VKdN7PMdPyQzGmtY2CCOzM+cayuO8WEVndhngbde+J61bp3MUfPjN5tvY0kafZ1xzpxYzyEq6dLuqv4ZMYw4jLZ8RwItpc7zeAZjNikGF81bLa10QMFYH44L5ay3uj0tw4MvSEM3ZafIGJRbyRVPwOUUQGUsGIwYPA2fTcAjliBN8HSomoFyKy+Ly+ENdMRoFvsk5GfMOktiPjU5bG9X6bSDF8i15sv+QfRLcwZlhhZ2etNZPFERmAcUJUHmMXMlldnzfqkTH9+E4GHSd6wIjv55MsjWifeBfBRDYK68QYeky2E64wMLs3ym51i6Jx+E6i4gyUIOIIEn1RQuysFmJHsWxuvZk0hIgBIomIkiTil+gPIw6cEZdTPJ9pGagiva72oW3QN0RHGHESu2Uw4qFB+I6VzfohopE53/y+aSTbQYB8Y2+M+o1b7Lc+ceHc/nP1rHZ7o+xqz/1ZLdhyJBhwjNibTCZgxMR0vPuFwjlWywOVPKFrJGMpEkVnoMMZt3y8cz91gghUIMOXdeA1UtA/Ma+Z7MdA61FVw7hhMi6uf0QMcZ3JP67IwKULVDcOYW9368c4+kXsHZmjumlyDpAh5u4FncLrJXUCI4YeY3AHfOaFz3munceEJoK9e2amammw99AuZPIkj2E8QEdd3Qy0F3MS9On3Hei6RAxKFWM1q+3XxrmTI7W8ou2XH+gcWKslxJuDLYFnL9aJscdLo9S5vBFv1Pu4T3D8mDFIUWAgQlmP6ggbeS3K00AOYvzwLNriWRi6noHcBTKciHGiHptpb32JiDneTxzRCbB8Yb537SZOYuzf3JOIh4h4ylxDjP0TbM0gzpxEBXOfIoOnOIEEOkBbh6p8houHXhrn1S56mTpUpZ/nMJUw9BA/tL2rE7Q84pT7yXNmQGw0GvKGN7xBHMeRW2655ad61wc+8AG56aabev9eWVmRyclJCdZFgkGRNhQwzhanReVJHzEyq+IAbyRPyCLja6GrANEAhYWG704d038w4y3FoDBiIeF9Ax5OKisNSVh4uBgYyRhguHQHNJOltDFxuQk4WFAaeRS+zbKjrVleH8MXM9EKoPvcFNwMsiJiZJal0aWNxck9APGwFF3y7nfSmUOAxTMxDY15lTHvBBo0nhlJbVBvHgraMDDXcUB3+zVAgzYW4RYTt8S8v0OYvZFlLMOFT+/7JcqpD+g/IgXOAygyhJZjfrgG9GAIB6Q6aCBhb2txFAlS0nGteBhZglNRLXAQK2mt6W2UaGN8OqR6Z7TwbSRgMYz/3XHIe00coGlIMyilPMAzyQkzS9e9F3ZDMOdasDr4ZaltgjodP4k6deci14d6Pw5aWBcTWbX8V2o64Iw5xnpT0ajym34K5OlvRue6PJt7moj/vhZwOk1IxYhJGkpb1BPjHgCcII01VNLgvFgk/dKbHshMuGGuRUbwdDpB9D087FGZpTFm4AGNb7F4aUf7zhyFERIHQA4j0xim18lZ/e3yVp9syxCDkssMeyg718XkiQqe0UmB7UDqXYOq4YBDe1FJ44GNtOWGX5Il7BdUZmkwYvtyuhkGHYT4EMf7oOHuE8aBg3XyCUcShvOQ4ptx1Yfax2eMxD5btF95UOYYMynBoe73vcvF9ZqGPBoTHZ/fVvugB6BNDWMBqewJ9pPPnoXnOefcrJeOB/1KxDyA8cBWjup3Esy4ioODEaQdZc8e0Q6PLereSwNMpZ/OXBxAUD/2k7sG0RiTPqmFZxB4HhhNY6ne53ijQ4B1MrLO+lCy/J7hXKQR0+0/1+HROp09fR3ImTirrWyOSigaNQ67NAIG0L/cA7jXxFYY4kWfp6HMoAFi3vDQzGcYGsl1zFeG1hpKREQqoB5yLaaTjg4tZqil44OhEghMYEgh6trU+ZiJ1nBUrGhB690M59wzqQewfekgK41y3UB4BBhFIzB4smAETDg+SR/qSEhoOuBRwTic0t1khy3q8TzTo02Tx/UZ49xN3Tzqo6NST8f720mE//IJhSUIleLUtZ0yAwp2iHQ7IhzD+5AsM4LxS8q1QXsHaMZw8GFcR5HxmjRVI5M8kmnQiMrEks6Kjg/jPI5zuju2QjhjMDFNdBn18Fkmgz7UfM55JiLyc/5kHl3qXRcuV256HUZDtllivjNJqwO6p5EqzeQrdKCmfQy3TFTGcvkMMYliHTOMmAd08aBuw7AbXtnRW9TRGKaEzmo4/Zmd2jSEdv7/TJKDPScGRHdDOnz4sHzzm9/sebREREZHR2V2dtZ4vtlsyuLiooyOjnq+LxaLSSzm4760YsWKFStWnkN5tvc0EbuvWbFixYqVsyf2rGbFihUrVn4SedYNiO6GtH//frnzzjtlYGDA+PuePXukUCjIvffeK1deeaWIiHzzm9+Udrstu3fvfkbfii4EJBQLSJPp1km3S6spNbIApAQt77C2NpFwxAiY7iK+6NggEgfXpa00B6Ow/K3B9QTkdk5vrwIabSZyQLmGvJM3GJRDIpa6CEMHXjc/NKRJJfZGZ4Qq3sFt/Wi4BlU3zD4gGhGeqTQ/BuSGF2OM8GKMByLuWBbSmekNa7FvUMbkEaSzB5qLCFYHXhy2TTuM69hat0Qb+laddNWgdxvxmyZ1QC/Zjl7Bb0VEwvASBVHeGtCITL5hBD5n2brJP+oVfcDBmImCkrxaU6/PQFJdZovLOuD7k+qKZQKWEqjQiYi6NmfmVOl1COfguIrr86QpsF05PlwJ+STAaQH9F1lEUNxBg/igwttB7zlhcDXoFaULmgmNUA9689RriPlJugC8rKEQFyl8HmNZgPYMNAmX8UYsB1dB4+mWpS3e31kPcib3NJEukiYaMNA9SxcrVMGg53b3Mo5NoiMiREmB4kdkQBmBso2AzBh2biIEEZHMMf1xEUhGA9FMiiT3rJG11CgiIoiqYMB9ljdzUNcHJtLgvkPPteEVJiqDVHug5Rggu7jZO4g2EY5u0pPyCNCToApFQB/hXp45rlCqwnm6LhJhRY9zuKyFLw9irUW9ieasgw7O/mN/GDR195sMAdLgeNB3JOe0QzgeSUH3Q8sZbQOqa7gCz/ywd1tSSKUlasGla7d8UKB+/UgqvUG3A53QQABwTfcBWhuUP+w1BmU94b2Ou21GNkMEKBPWmUI0Ivdsoo3Kw97jYXVC/1Ec1xcRpcj+/v+z92extmTpfdi59rzPfO658705V2UNKg4lkQatwTJlVTdFGwJlyw8F8IGQ3KIggzAIAZYlN4u22qLZImyDoNAQAT3IJEC64SfCECACAuVutVpsSqRETUXWxKyc885nPnve/bB3nPX78saqzKSLxUoyPiBxI+PEjlixYo3f9/9/f6nbrWX9e1SIB6lpJni3vQehPdERAblLWQpoWang9r8S3T+I8IF0Mf3CsvCNP6z2jZzXOtNl6ryL2iq6JwgU0AYWhb43Y36RLu/aePuVjHafDfMacQyC1r3g9utr5gbzrm1QYYr2rB4NHphuijnSdvpSnqGmijLTAiL+7dxQjz6aIV8hVcnF02XZeTVX6oNP5wFl543caRadfI8L1gTOh44bltd+e/YMaPNCn5leJXXOSe6Iy13oxOtvKfJNxOh8h3XIR2lLrKN7R0/XS0opja7n+3Tfyhsw95ymp1ocQFsGadgi7c/gbh6c++xPBuvjGfTs5TXFTevnzCC8yHg6AU1mehTH4u23ZAfmayL6n3HxYa6D4NvouaijcOs9RNh3KBDKcfAZmAbFlDOFlGbht5P6OfP+v5dhm5v3WSNdd45hXXmw7pjBr5LvtxFSgLC3U2QtiOs579XvxwPKPiAs87FpA4I4mf6UlvPt02UxlZypT2ROiFYe7bPGrr7lB9iqfWAH4unpafryl798+f+vvPJK+vVf//V0cHCQbt++nf7T//Q/Tf/8n//z9Pf+3t9L8/n8MlfGwcFB6vf76ZOf/GT6U3/qT6W/8Bf+Qvrpn/7pNJ1O0w/90A+lz372sx9YrfL8xVlqb8yi+pveJTpIoAoXnALykrbezI3v/IXV19TJYs6F4Dxj4z18M88gkyuOBvwA58rxR7nEXIqDwm+xQBVWxfYMCtQ6/975M++dCzAoVUv9pY4mN/Lo4aAd8ltsOLnzrJmTLuWdWseF9w65F9f0cpzFy2l9WZyIdGA6eEhB7T3JdXdGnW1/Nd9ndD3V2hS4vtT4cZg4Vs8NuQ5H9WXcfEtq/OI9r3fQCerMOk7vMajdoH7b9hteyqZnPztddSIn/53NPJKdos787JXDy+MZzr5nrz+uPX94nguwNWAS16lNP++izjw9hwqD46t/H2XT2/meVRtuXZD3EEdhi7pu9ZlkWMy2bKdQfEOOkXGhr0h/1km0O6+93j5qm6gWAK1jHHn0w4QDcQadO+SGNBdN2KRRXsYux5ngvF7XX2v+AXDx32D7ZprTNDcvbo4dRyuqg5QKNzpBaa+wqAt5VVjcdKEHOsepztwubPB0zOj4kh5SLZLc7M8K/ncXj0cfzVT7Eq3Fd3KD6QLPBWZJeU46o3UwfELQcJ1fyjw3bsB0ZIU8eHdRAeS9dVgF9T4cqm4KbBvnNwmyPILWtl2/+HWcqajsfq9F34WvG2voWjh0R/v521SqzimlNB/mcs22WFtRT5sPc1lmOM38xoFmXGi31YK+RLmW2meuPBfTIWctqURiShSOdZKTk03zO42vWN583lzOFSXMsk/4e8hlqYNPFdJCTiSdGzrbDbhGJ2o+NjdXaD+ZSRbeowoKuNEK4xntfVzIrxi/b6q1WVAJz+fbQb2TcYlgiX1CB6X9vwquXI6502/uoNg307zWGS1Td74Ma22p8LuvQxXftQ3gNIDKF2i9UtFxFJy+kBuhKZ6W7+GAPn0GR8zrrIV5fnDEFNpjcIq4nCoo2EstvLiKU8Jg3+28HnZ9MHwM5bGi2FPGJ5/IA6p1d0R6iBKlVEev5vh6Dm3YPV8bYMtyP79Ib4OUQsd5gO28w5z40spDOekzd1h3Bt/Z87mfCsGOq+yPWGvP9nJZBq/m5/cP829PBrwsNGsd1pNxvuYq+drP1+mc2syfcwomCGTjnnu1/MjgjNqpH0d3Xs/1e/RCLksnrC3y8RLwQPt63q+1XeO7P6D8i3WaqeVpfVqO8ZV8vMG8bloBnYml1C6mqLCfe419+5yUJAYNHeurvMD+fXg/v//xS6xhvoqPwy3UHdZi9H/Xd2NSiVjv9kvXaOcE1QJ12xR9tOdqjV0XPE0p9uEtHKtPPlq/jqz685z1xnvZB3Yg/uqv/mr6E3/iT1z+f5Xv4gd+4AfSf/vf/rfpf/vf/reUUkqf/vSnw+/+9//9f0/f/d3fnVJK6ed+7ufSD/3QD6U/+Sf/ZGq32+nP/tk/m37qp37qgxalscYaa6yxxv4PWTOnNdZYY4019nvJmnmtscYaa6yx3yn7wA7E7/7u705LqAjvtq/1t8oODg7Sz//8z3/QRz9ti1ZKi1Zq4c0PqrhStkTFAFtfokK6JJpwfscQ9OpYmvBi1/BvfVRkfMNQdz6/9aVc7WfQRZeEqQIayegK3u7OGagTkFJGCqR0jw+eFolYLOsjDC0QjaKeRDK1iPRsfBVUwfP1eOTuoZ5vEYUU9wrRHVGVqs/6HdaU30CJVsUN5GmsF+4hYhOUqeizFNpGfbStizCL1IiAPhU1UX1j2u+iIOgilSYgMwkndkAaBhEVaeS0n5OXiEAJEDOiKlJA1GgQ0FlTlE7z9x3t1tOZRRdKT+4gnHI2ySGlGzuZhjKa5XuOoTOLLuxIvT0zBANiEJrCsoYaHlCz/cK17fo6Tec80zpyWOzZfgwJ1qOdHFMCCNSk0FLK18eOIVLqZw9zSGtwO0dKx5P3Rh12GXMmJJm2/8326uBt37z8r2+qOc3n0q6k9tqYqoirfx8cMqd16CeiC4nIel60gZRVr/e4JMYgNWNKoujQrqvm47AMqkIqWZEaxvltqNUnzzH+0PQCehJ6qehBx9oQ3Q3IvafLVlK8DihGRcsKlNmgHmzb43DjIXTfa6wPnEuh3IgI7YwYF0ABVN/MOrLbBnoQkf6Lm8Pa60fXoIb5rgVREJFHJTSrAgTSgEWEVkglhd2c30SYmcQ8qCGDvC+hdW17ohQDEg+0XkA+BcEdrhdhWF0DIkDEwCyIAaZaE50R1TjzcRBuAfWyKOwOSuhX1w3+drymz4sO89vMC+UKKELaaRQRECHL9SxB/caOBRsPMrrE9AOOb+2apezGWrhpVoJLf5PYN9O8VqXlsP+IjDq9k79REAcBPd5jfavaaBCJ8HhQfz6YRJpn1s8hTYCKzVLtQ9oB5hHnt66pkeiHu69kZPbJc3ngCEw6Uz7QxxQW0qQWV4hl6+7spnNB/p3jzd4rsOFQLFbcRUTWve9ijhWI5tbOfawiHNvMO9fyALSEMrsxXMGhJwzG7l07h/n5phqSHj2+lcvbgW7c2qzf948P8v0noOiSz93Iv4XMk5YX9QPm6cXq4/dhR43Y47iOPwfYG5hjzC9SsR0LT56pf/7Vf50/4P0/xI1ob8MhqU8m7NMfQ21mD5XWfpaYHot+wJ5BRP7WO/UsqxLq2LEgpOywrzgMh/7HmpU1z6K3elZX8W/WKiITZXQ439snFR/qsIeyT0SEcD4faNG6ixSdY81ofVyulX1n2oaskyX7axkEXVOirM8XMsbU2u+YCvM3xFqr/6QWlijJ8y0a7paYcDYU2+RfGLkaWt1nekDeBhSVFkd5JddC7dX8CMurKE2+pBdJ+KkUjHqn6JJOOqM8rslDLjV9AmunVnBI4MDoAEeebxUcG/Z/6nd8vZ5uLLU5OBmkZTJptJ9AOxWKjmNoDoR7Y001v2CikkbeclVbctDgZO0f8U4qYkkP9piy29GX5OdoH9ZvZi+/mY6gaaGMLrL9fhxPcVTqCFUhbXKgR5BD2zt5GK2b+R7trSZfX3ufBflJHpB39/MEdjzKu7Ttwbj2vG15QmKN0xGTbiEh0eSIlRr12umJIc/fo43Dr1Jd67i4oE8O3sn9fPQC92MssP3OaZNBxY3dbJu2ugi0YXfiTDJWu31RJ/G6zObb7GeGeJrdhj7iCkjKdae+D88YR627kN/U9rweIxwrGvva1pqv/gv5TthlxzxeFV0pnzPXoVQPc6KYVy5QM+g+Ol3MrzNjY+bmyQWbjqmwCVehcX2NGx03SNJBJgXnko7u0zvkzdOx4YBi02QTOIJaHdR7TTfEO+lkrDZsIRYH9UaFbN/PXJU6bl08hm/AZlY6cXC0UgY3zYHCI9196+nr/abWkbTsksq1669AzS04M32WdbD1Tn5xcyOePJu/se3Qb1bVwfabbCRRCJ4XqK4hhybORHNTnxc0kSKFmfMFZ9v+l/M7Pfx28xHSh9YKl4GebNy6kJLAPhz6M7/tsNHQiaCzYMFes+Scc/N2fiMfq4xbtU+dMcGBSn/eR4nSb62zaYP8m8cvmJg52+Z9FOdxiFtP5l617Znj1bGj6gvnt1a/m02/edNyfLPZbLOVlv1W6GODw5rNcIqOZjfBOoujams+do5z7HLjPWEu0ynSXqca0ilSzO1uYAUV1jNyGsa8r/n40afMiZAP7auO6ZbHd/Iaf1u9qzlig9PJPMD0Kx3tId83Y+HpM/X9LaTQ6jnHc95gvLnjBUGwHp6tcwOGe7Tqx8rJdfZbpCBK7MPmgH66UKUXt+odmMl9AGvzhYAe1sb9vXwfQU0H26tB9e03skdSYEJyn/BYBfJ8iXNA/4FBv3w+OK+Z70+fzR9Qmrw2Jc/5wm/DvmL/1/LDjl9enRe4NHy7PpejKTh0dIegVyEANtnJ9zRIaADBYKrjiIFVnYJVKo26/M8pleds18A7pFyYkpKllC/5/DrAGfrqgHyEGw94v+vMfYW8wNXYMThePnUupZRGpLQ1aBBo/Qf5uAqQLAv5KOuskL2hscYaa6yxxhprrLHGGmusscYaa6yxxhpr7EOOQGxNWqnVaYVk/gEZJT1QVJyUUaIY7YJQR9pfRUWXUCW7IJomwJvbInGAZneJbEyHRDCIZiSEQESiaYFeKW0XiOoC1FT/ASpCd9bRXVGP3GPrtVyWk2+XX1BPaZLGJVKt5TuRcHZmdEf0myisrUJUV8c7dXzxzMpd3kFtay660cgYlMtERCeBvBxfq0caBkSW6tOiRnXHi2bgu0qDryTKjC5ZX76zCNrAPGnXlzeiPYUypve0VkGQJwB5FAWpUGa0qy6ovNMzFEbpNxv93MYePNi7PN7ay+FSI2Pa5JTkzwiazMdGg2iTfL8ZUUlVhat2q8paiOjcrkflBoXw/QJKs2OkG0QqY4RRyc69/H6zK9xzYXvmGyhitI5oSlGa7tZH26ZnoLYcc3i/xRWl1uQcMh4i2DJlPKwCxq330e4aW1nvbJG6k0UQHeid5vZz+NHcNqrIqmOP9NLBYT2KTwXFyXb9x5mAyhHBERBqCoSoaDt87w9eRXfbQek3/z1QDwt07oAW5Lc+XySGZRfFXKJrGrkOye9bT4+LW2/nfnLyHIO600hBEVoLqDhRxtSBCcVL1JpeSBwOkqrwbSoU695X801EbwUaOXWRiKiH+7HOCYq3oDN3v5xD44++LfNnpyKPQC9uvTOrvUbERaU4He6hIJGK3qDNTDzvN5ByZPuU7qv6YVtF0ufqmRmPeiIi6xEE1Vpk4x2+HYhRERye9zspijKhvMv9esT4wrQ/Jt8vsCF81wVIRsswWgtCiIISMe07H9NvpO+r2Lm8gagC6KgrX8gFPkMdvqTALcU1oDL26+f/dyN0F9/EaTm+2aw1W60FpOuXxtzRVfq1qRdEgNMeBkf1KPhZcm4C2bbJvKJ4TtUPWGP1mGtGiL4ECiP04IAWBGg4BMUcKc/143I3+U75txP6eUnFukKVh37KM53vS8ItYW5yDQxi6fqv54ve/sP1aUoWrAX71/MAMOiDDHxzk+vz+fM146h9gzWyaZRcu7sPEiHoHkAWG3vEPs9csD/RH7B4m3QcN/l+lKfPO01IsXQxWTUK1+5hHQ3DqHvq3itfEuYFEbTuo+szW6UOc4D9wzK0+WgT9j+d01y2o088DRMUeSoLsf+kHi3sPK0YTEzRkw/tT2MYFdusA0yX41gwpZ/XiYmF/sG6bPM4V9j57fwRejD5Tp8h5QIIQOeUrbdRO+b5MkOknTsn+t7DR/UsjQrBHVCoBYG8yODhGtczFYW5fstdaw0CsbHGGmusscYaa6yxxhprrLHGGmusscYaK9qHGoFYmTn0zHsYk7aS31AEHteb20ChgyoSoVhDyBNgNMFyCTbjt6kGLbS6aT5sk4/MXGbmWwtRF/P7hbx4NShMc52B0jz5WD35PdRRyI3oRTwGwZp5h28w5P6H2d1uzsIQUfFbFoK93TXycIb4iLkcg2w9yekD0i95DR+B6JltSeRXLIyhOr8x0a43EBqpIjaG7EooWL/vuNBOeaYIgO4xZb9GXg+eZSo8v1/4liTUtI1V6LMZbXlKLo/2bo7ojI8yZOCYpMKbu6AOpyBCyWk4vJJDsaIO7bchtwgNdD6pL3syAe9mTfu33RU+e+gHHdqyKB3GiCCccgoCcCsXRqEcI5eibx33Aih1jUY2h54I1nbob/VR7CASFeAZ9egMk2WH+q2Ou6XKa+zd1p4sU3u5TL3TelEQI9NVbhM/kUiGNigsI7ULElt3Q84po7m0GZqD15ibrE8+l9mGkVXbmFCm1vpcfX7DrXv5oaP9+jwzc/Jibb+ZC3P4MuMPEXj7pGhAkZr2g86Y/HvkfxIVUqGjxgf1yymfYw6rLvOF9xtdoYwgvFqF+VaEld9JpF/4LZODiIAqZ5DIvYCYtF443ztBTIl8j76r15t0/PxmhsVt3mNt41S6n8sjOiyiTPP1vbMqMl+POjTH0cldUIeBXZEPZ4UE9pMMmk8JJJw5w0Sna4qcOTf0D/Px5GD128kuxTLkbxug/Yj2FkXouLGsX1qEvNM+YPgwnw1IxgL61Xa7rIEpxPxt9SwOk+bbh21XtsmL6/lbir71W5qLSmROSHLv+CmqZ337+RoZPm8QiO/b2rNlareXabZVP3fYxoO4A+gbc2hqAVXKXCPSxjZmW+o9yhdVeTtF4NhGtK37uVwnz9aP1+Y6GzM+bb+Zj0Vhbr8Fa+dOPfpeFKb1YU5T37WyFu8h6lBkb2jOjg+FPLEPvv3pPMCrY3Jmv0zBsJDD/GYevJasBar9bRdk3wyXxYIPH/bgHrqnZz8Z9lBYl3Wq+5DFHVCQXL+kcoYwqsbmFFy/a4d9UO8386Qyug6b8UZ+1+Hb6DPQVxw7g+idOTpZ52w8MK8sCO9FftfNYb5mioiK+SHb5o1c+yTCHl0GnFsf+6H5MWf1512P2p/brPuOnievrdtn7rnxiG9JO6/mBsXt7DOzzVxgczZqJTZGQN7DfAlCcCAvA3IYBL+mCE3oZ+tP5nw4fAIbb1APJXRc8jtVrKT5OL1v+1A7EJe95SrJp3sSBFKWx2y6glwSNyk4/3Rqzc/XEGRpkBf1yWTnYcB6WmgipRSSpobz0AmlvYb3c2DXqcR9FIBRtapyXIZOr2psAQauGIUDskIdOjyWBapygJyHb8B5B3YUshOJcVs4UedVQnjEa+bQg4ITUFVenqNTRidcdCi7SsmHS9SWS8q1VsJsi+srZ1cYbRkwT5iEdOgoXsEKty2dmusnOKxahUk0KHMziTt8LnGEqmh2+e1PmPAO8igkRWCEA+rkNO+0Ojje5ky+Kp6NnkCFJiAQlKhtG1KRQyfiNE7DSuzGutZRuaSNKXjSLYiuOP7YxtJWgR+CBdXkQaE8YXzhcN2PA62Zcs1Rixvu58Xb1H4g04HrWwWnerDw41b8t7H3tGWnlZadVkhYHiijNRsmE0xHB1T9oi5sPgoLBhcmLsaWBIU6JyZ+ZkzQWSnFgvHnkrpMc3GhJXXVRdeVLzHW9/PNdfDpMNIReg7drEunCWp4xhcKqr+BErexVsI+IrG2lGHpl4Vu4PWlTWiJKhNpKNR7t75/BoXamkTjKh1roSxQ4NvMkxsP882l2m/ep32yIHbBLWXdhXBQJOzXtJ93na9o9W44bAOBzhQiL/lw51XokpRX2nJwzpnwnjWBayQtJLyHtja5Ij1u9a/Owcl+Yb4g0BfVi7mGvbyOyllhE+pzz2/Wlz1s3nBS6EStzut47CIMKEVcEZfgnHQpdlb/bdw063y0LI5Fvt+00OZbNdVdvc8HUav8/W7TrVZaDFrBOec85fluIWjiHKgjP6ihb9SPtTuv547Qv5bHpaB6vn5uLwgDGdAiCHLDcYiyFBzzc9p4WKu5/SOw4j0ddxWXmm7mQce5qZpLwj0YHxUtu7hWeA8BBWEupbx383EYK57PN+qaLoxA+Nlx7pQKkWwAEqgcWYJv5qypVVIO+0xFOdnztXnOHFHTRUHQxXRIwZzD8TfM2Td12c8MumtxRvZqxwSEW67p2bOUqKQGWYM4EGskUztUok8pxTmxVRI25Jt1AWRMoX1X++Gl6Zi8ndv4twws16cVGRwrOpd/Gx2kRsbyoSm9nOd1zhlQquZV11CVMnNK76ISh9Q5+dj0Go450pZ11nTPDQ6YJsQAbX1fVJAspDVbjwsG1E+ezY3GNZdiVKV+Xh3XBfxK1lCYG2usscYaa6yxxhprrLHGGmusscYaa6yxon24EYj9RVr2YyrjQOtVXMXz5yClrtTDL0Qstk6f9rMqbx5QORcF9Jt0VCAkysNLv2yDMmtfz1GZ+WPCUSKG9nL4dy7ayWhxhRgCSRXqxXfW2U+EvIQ6DJRgkYYgOSuE1+oP9YjJtnRpI7wb9YjMS7EQUWgg9+ZSWqUYiy40SiaFx+t9vzMSdB8B90ZAI9BdZdjfhEpfIUJHhvvyoShUW0+X9hiFaQpUaNFfvUIdiGY1UXEhSKWYz+X9QYy2icAZ4QuCJ0Tb5heEfQr0cvtHiA4SZexs0w+OEJvYz/18pnCI9IyD9W/pB13KOzn3d1DmedfpFEqc/V+BEij2iXpc0uClDrROQKL5nfz0itpUkSRFWZ5QLgRVloEmnw/nI1CH/fpxrAUKdAEVW/Ryp4oSzwuKEY09ZdOtVlr0WyFCK3oo0oVWHy0kYOdao6MiOAL6Zru+DRjxdRwQ7TjerY8QS5eMFOJ8XLVfk+ZLY9Vs66ODevpKoGiGKDbzUSHJdIjEcskQarMowfPrzjGrf0VAOo5PQZ/0QFiVxEyMKJukXJSbqJTO6L3RvSF6T6WJ7qu+6/lNPlJBxEWE6darOTR//PHMRQwUPtqJCdBLQjmWN1BceQ2RnXWUWH93dkuKVL6HdTrez8cnz1MW1jCbb4Gg2OE7Mb4r1hZQ/qwnNl/L731xu5DeYf2y0z3mBdkgBfqToiuj635r6lHEJM02oP4CZb1wDUuekOYASurw8fp3jiFQhs9uw/oo0awpr4jJMM64/CokpA/UM0UKCtapZ2A29gFt0Uup1UupzfAehHQKyL0wRhZQRwH9q1gTqKOjFxHdowz2p/n6WeOD/Pf+YT4W4WWbEjHZPcvH46uU1y3itfox3T5841/kmz7+RB5IJ7v1CKMFCMNqTBd16Lw7bjMmOS0EgaF87HpDZNs81B33YZxzHbmxSwoi9ieTVM/m662py4HuzD5wybpYJKB7zh6IxUlI55UPQ2oyRRvP3xuB2GHfPRrnZ0kJPhmt2t5cFiQW1uCyB2kbgUbut0RQJSDuQGnbh5zvRYFfUPawLzPd2cDOuypn5xx0PvsK27WCIyLMRZ4PDvOxazrL6zrV+9QJqKUU2Tcbj3LZx3ur8gTBOUQKu6DXZayYymT/txBIucJcznqmL1J+Dz8BzTYIyYA0dP68uJ6PXdvnFED5lIjJEoW6ixiMyOhqPlwUliN19qF2ILYuOqmVOimZY8lNs84KnSUlOp2DKWpMy2qhqGPOjlWgqXSA/C7v5RF2vuOqi828VK4TBjUaUAvn35JNu4OgNO5Ao75UgsWhw3uGAU4Hn69Hed24zFQ5VImael/sK+vHPXEABcVXHWtOHNxz8HD128mz0poLclRQx3uPUafGqdd9iMIfeePMcRQodyf5/mPg2SraLnV+6oBZt8POGXUE/WkZ1JKYEHaoCxWAzZWpU822jzN6+1/lBxx/W/3GPWyGvI/0gcqZZxlHrtrr38PvGHKBatBnfWaHfq7quJOxG79AkWZTFyjdV1crpaW+cPKgdB6YtzNfM1VFnAVTW2ozfTXUnT7fx+QnuUXQYOiGlA03zuOQb7VaNLmQu0pZoHLMDvOsuLyaFz1Sx5cFiofjq9SElguvaoJq6F7v2xb9Vmr1W2HhLvVE50qVEyk4B6UzbdWfl+7XKnQ9HVkzcg268dNJo7PtnPbQg6YxlWq6UTl68v1c9OiojLTieqdlidroYlaHx8bD+px7OgfPrxU2EcaZ1l3VzVUph5SUlUCzlKb2tpGBfI2LTd81Bnl0rtQ73gZSoftPt6WSOrR15Jrg9MXMTR2j9heUs3Hwnd6qp94Fhy51FujahU2u7aByJFWqgim9ixberz/WIWiAzHH27Dnq3aCNm0ADcHusZwg8nj9HJRcCTa15Z11GFxwGnHQQ5Gsu7tavb2dMQVKYNddOth/7jRtP20rICelz13NASUVcRfgRTpdAZ6a4Omw8rwOxNKaFsWBefxzm5Jp7VhvW1qSZ1N6vDR8vU6e/DKkz6nL5vtt0kLjxts2Yx9nAmPPHk5fzgKKzQkdSlT7AvN/maQyqrebOphlsMqecPsfaMeTbrJ+f7R8nz+Dw5LfO4We3vrYjsOQgt5/a7gO9n2eatiE8x7zerDUFirTIb2hOwR77zv5GrszJmLlhfY0gly7pfLpfwbHKumEOkCGkjDJ4CZ14Mamf4wNYZq/eQemefQzAQNDEjf1VgO3B8Xbt7wav5/eYD1wfUKcCa3QmMp5tvWlalfp+FvKIuuZ5nD1JbfYb7hU6RzgW174N5+lUAC7F1F7161j7gQG+7TdzvT/+RK5fnY+u9QZP8nmdZqodV2O6f1+yFpPu62tY18fP5v8xrcAF60XnzzCP1EtNhL61/Qb9/Hb9Wr2qe+e0nddMKSQwq/49Os6x208/472soTA31lhjjTXWWGONNdZYY4011lhjjTXWWGNF+3AjEJer/5Z65xWhMFIg5VG1oAK6Rgpmddr7zYGBt4Qal2D2Irmk9fbq3b3TO/z4SY5QdKBcz6TYQsuWAirCsKJjLr6SIyHzu4bV6iMInXMQS6DfjEAtQ8SBeiSK43fqXc1hhhk0YGXvlhvc1OS51Nn4VgU3IFIi6pFolJGs6W1CbKqGoeYsvVT0gEIr4+e5jygE6Mfdt/P3UxW7QssqSrC0vCHclw+lxrakJHf47iS3NSKXQMgdfzqX3W/TET3p/WX7L42criPyF4U2KM0bhKloYSOL85BIWMpWPQ1vSXTQhMtdkLjjQwRYroC06z6d5mAspUG1cCjqQfndyOpuriRRwcuCenpQMj7I5SomOAa92DqFygmVoBprTCC9BP3reJVQfpZWImJzcgLUR5Qp0eIWojpL2n6VCkJhnsa+trUny9ROy9Dng1oiVo3BgT5spgjpDdBOFTToQbsyKqtNiBBLVxKpcI4gh1HkEDUVVL5Ga5w8Ux+1lXpcUmfV3g9yrqXy5w79nLqRNhMS9A/rI8GVyqCIKemwXhuS/BsJhpoihbhrlFwgnknxSUA+BaXo9SLwbEvWzSX9hnPbb+UKO71bjyoPbU+EV43YT0oRPeB7dINSoSjxfH23gK4dHEEPXqt3P/g2O0I+3IA+e/y89FkQH6xbnIPCHG8zdE3JONqSqVJIw+JcsgRKXqWiEV1eEr3TRK6IumnDGJlAN+ud2q7r0YWyG6ZhvVtPk9x8Jx+f3V39tn9Uj7h1rPAeUXwpH9t+pH3NCiwRURaJ30ZkVz4Ooiv20fX1FZpjWUCSNPa0VXs125RUYpF1Io6D2BDtxG9km/E7nt5WQCOf3/9KvujkhdwQK1RhjzYVBMbcGqAOfXE1l/f4OcfufL2IxYC2YtwXWVYSOTMVRGmsrRBnPv/iBn/nd/0j7uGY5JwFdVOE12zL65m37yKgyP5zKjvHsYtxdM4+trW+v+mKAj1ZZFtAhNYjswPbb+G+lL2jwpWmpHKv6/6S8b17yD7nhbyoqvwKqjRPN6S0ctyvH9ND/SpGxTe23yhQpNCK7TCo+264T+ae1J901/6aqRfmiFH9XGrZFTNxLSQ9Obbr92aAOE+IYA+sKEH8a/aGv5sNKTvry3ZhjLdPuF6zuB471rnedty78hv5Y77zR3LnCgxQu001D4EwNR2QaUJkhoR5zzF1/U4fBIH4oXYgLrdnabkRv7DqqG7UA/zc3F1ugtlwz1WuXXcAKZEx5xhfVccNO/V2oATW5xoMed0K+ewWJSVjF40eOphWOXWu4UzQgepAqtMHemnI66bTaYgTByh3uN4NEHRpnRuJvHXm1AubUPNP1sjkLaQ88f4L4Njm4kvI1ks5CsrWIcdR/TsFJyrvN7uFY0gn9ZO16u9GwYmrSbt1s6KjyW95lRx6OrK4RsXi2Rzqto6yEt2fjUx/DW0PTlneIyhRXvdDcrmTu+/Hd+rSxmbmVtnJo6DtPeRO2anvQ33Vp9fXh+fwgUNNBE6VlAY2SfSDzpYrHO+TDx1HFuRpjOMVY4S0b9vzelFj3zMgEvI6Psqrgt5BrscwppWURHcpl/lm66QrG3vfdnGtlTqDVlA8dAES1F/XDhg32KXcaEG5MlBE87HquqMCDVinobnnpihTTmTsP2Ahs4cK+1oxLtDBHFrJCeqia6Z6HtPFzLG1oGK591uo0+OkcsHdxdESaN/GudjUVXUjNSwoVx7Wb47nrr6CozIfB2U+HJshd9aWzi7uSTfcgQp0cjf/2M3F5cbW5cyLzOVmQwkOl/rvsfGQ95ZO57sWFLrDIpah1s16j/bs95tsr27qN/D50mcX4ZsW5jrqo/+EuZQ0M9M9VKPJi6X1mFfGp1AUmT9mrl/XO2RTwhggdwEY0ou4JjFYbeqKHfokND9zNvYIHCcCVNICp7ts6KkPHehVHfsNnD4do8w5p4PC8Uqn4cW1fLz7quMMZbmSrxk+rL9nmNwNfriWXl9/mXqhU2gvjT1ls41WWvZbRSqdAQY39juv5X4V8s6aviDQauuPVVC99x0AMury+5F/TGfN5r18bB5Dr7FtWsb9LxFU5V1PSA2igzTMiS7xcW7c+uX8UmfPZI9GpebsGGpuRvuVc3lQUTfIw3fSQaOTaHrVPUP9erE30EnF/sBxrOanLdaurfu5Ui9u5zod3jO1Dw4d95+9+r2H6abMDzeW6m1aCkEVApY+khdPKi4fnq8qc4yvYQHooE0D3nmFtvES+wqderQr32OEM0EH+2zqeiafD22VuplJ6d6oB4JMDtYghUlpzqxfE5hqx7Qm5ii2HU62CnM1jy2t9QyGO77UFDF1R/n9R1fyg0wVo03ohwa0Nh/k602/4Nw35J4dUtrc/046putg1x+s16o2MadtDkgjpIM2pECinegI/e2kmWpgIY011lhjjTXWWGONNdZYY4011lhjjTXWWNE+1AjEdn+e2oN5oBmKzlLQoHOMV90IsQq8ettBWFWUPCMokzMiyIq1gCYLSq1B0CU/XnWuIMyiEq3Kq5bXyBuR5oBEwzs9XatWGSFfGkERdXgNmqdiDQg9JFBHIq9aoqFOxSPnwzl017b0VQUjEua7KrqypmuKgAyC1yL3iByJAjWJ+bIQyU8gTkOdQd1U4bhFJEuKbUu6di1UuFX796DmyB+KCMHCaduqqDQrrbMJsuyEvmW74l0rERrrRUr5/G4OrfZ4vlG6CShQExwPQaEOoAAQUE07GzmsdnyeQ2+iNbpQKcakBJjbbtbXi1AM30jV80LqAenXXcacVonaLGVMuoXoXkVaVJ4DgdhWuKh6b/4u4neBzFZ7Z8J5xxmpbKJvn06J8G4TJVmhaxpU4vu3ZXv1n+g3kQeKQ1R29fP5O0o1nfFNRbYZ5TWyW1JhDWrHNMHTO0Q/iWiPQXEcvVCfTL6KyhqdNWl9G7qUCLMhiL5ZQfxg+CT/z+ldRLce5wIcfoTwq3OTSpOg64x0K4ZSIRaLlGHoOUFYBNrtrEBRF1E4L9CTA13T59JOjl7o1l7fvQC1tf80ciWoa3J+MvCaevSAVGlp4YFqXqCsBvPb0FaKQhm96pn5nEgC0Q7euyf65CpzLMi9yRUeulk//oko7MpaoRN5zWCQG5bzR3WN86rrvEB9NuG+6zjSwMy26xE4ztUiyUccd07yPU2J0uVZU1CNg4dPr6NELm69SV3v50svbuZj6VW2GZFBcSxq114vQuTsmXwckGs11LCnzq9fr0I0zqW3NvY1bbSfUmfwbvGTfOzctPs6okXQkDsj2visfkwNyqoikHr14/jF7XzNpbCQfaNwHARKCmha2+aTj5PmhjqQWXDlC3nAOrsN8tvsW1BARR1WaP6U8hygkqt1JBoxrCWcDp1TCikGQv9x7SoC2n2FacF47KBPh9vPsPKKlXR2mDvwJgrzZ8/nn41uMFZBpRVd2GPvOnsxP8dppPdafkFTay2uwkzDN9AhHZIU5Rnr7Yu1r2D52FRA+dA585z2WEpjJG3ZOdDv5JrOuc9ULaL1XPs73wRmoWjs9R5mIVOJeUTE27z0zEIqGvtn/7ReFMT27PW6QUw5Y4qTag0hndoydhlnTBngcxRCOrsp0pD7mJ5ApoUA1gLyWjSy21HXidWYufUO+7xufXkDA+NaLsDg8dOsj0ZEpbHGGmusscYaa6yxxhprrLHGGmusscYa+7rYhxqB2OkuUru7SP13ckRg9NEcFhRNNr9h9lATOtXnMzBC0Hmyun65TS47IrJL0E3BBS5yp4A6Ws7royV6klvmYzTaZgR62q49L8psUbm+jaSB0kwg5UQ9iQjrXUf8xHxsJYCRQYaCu7r/hRxhmhD5X+zW5+JbkKew+2idR/BmrqPBa9ndHkROLkykY4IQoj6UKyDqrHeFOk5BJ9jGQHCJAm3z7av8HObvGD1PW0K4xcTsogVtMyYMXprHwvyCtLc5KBpzeoomDW1lWB+aqFCNm1vkXTQqO8tl2Rzm7zEa55DL3s5F7fUTjju8x9YmiZq75BelXLvbua0enZiogsTOb5kEYn0Pc3LyzMFXQS5+PIdxF4WcL8tb5GZUmMX8hqegaREfsYzmi+mQd3D+hLASKN4qEtjeAUkqGnur/lsXhVMsl8mkC4mo6/LYNPb+rTNeAbOMioa8caAGhg9W/z7+eG4LiwJKS7SDuQCffJRIu1Ojef7MY2N0+7z+vGhE0Xp1aDwjr0aWTQhtrpZjE8wTqbWOFHfwPR5+e76RaIqQ3N+uZH6243oUXR1yrg36ZVqICk/IkbN53xw8jNHUu3kgRWGFXG5+b4UnQPj4zS6u++P1LZzWrVOXR0GcJx9vEpk3kj/Zro+0i8YR7aiJkgl5m3wnUTXrTyzaYXTVtVU+v/NqPn787YyLrD1kj4hqd47tbuV5rcd6cL6or8ASenv/4Oypc6dnCD2ImBddLAvnRm7wonumXfo5Ze/IdjHvs+967ruaI5ifuq5FGG7Rf3rdMNusz2cXkM6ivMJz8rHiQ+aiE32qAEzngjJKBhHBSS7MVk1/qsq1+ABIjd/v1r1IqbOIY1XIh8jY4vinmdOrW5h3bD+KlQTEtuNYTRkWLn1ey8ciuYKglvMFbdB3FQ0Y2pTp319y4q6/RsT46d1O7fUVc8Eydsf+PR+PDvLxEMT/OUjgkH8+rA9AXsGQMm+ee8QpA795DfsIGZoLfV6tq2GxnT1Xn38+MKjo43PWrhN1AlgPtxivTz+SP6a6BWlSX9fujUWYH2znBvrGW+tFhGMMecUnV9m7PoC1ZA5f84K+KRTQnHj16wz7wfZb+VnHLzEG8516vLeilK7xe09W14cxugat/W5z/ReYE7IFzhGFCywG7m9+U9ZlishFpF8+rtYl26/lxePZnbyY8JkB6Tiv7/8lMSjXHCFntCSyQ9d99d8+5CZlbKrWpub7tbwhf2Ng2Nh+YDatdQIW5vh8D/tQOxAXi1ZKi1aaPF+vJNrF4Te/nx0IQYRDcYMCJWS2XkgFlVnpu9A8u1dwsJ2LW82Hgc58zMYvKDXXY+fnOgp1VtJypBzPTp/GzuosCirJOOYWOl957wFUTAcUqbHBscCzOtJ9d3EkfcT3oKJw+IUFns9aK1i1HuWeNX62nqIeRHAUhnBuQLCi/9U8qEzuqFxAcVUJ1uHoolznEXVcvesIhbQEXSoI47jB9ZspOIKDLzgWnfQDFYlBkPL6XbtHLAAQ3/H6imq1C5V4NOM5ONiubOSJ9aiV++TeMO8E5rTlo4th7TUHHPus9h6TyZxNj5s6+zEUhOq9NxFlOT/Jz7ddtUiC3OHeOt7tqwscodLRF1fzPVXrlvYdzPbcq58I0tpxGGjbOC23+U6qUl7g0J1DYw8UunfYtW/XO1rDyqDa2F40u633a51pSp1WXADNCg68aqHWKVCSXbi4qHv4Lfmiva+yKbmtiAK/NaOGwiUqlrK4cWMflFod3i6evrebSh2PgSYrTZcNm++3eT//9oJFpbQSF5UK1gQRE9+b95jX1IFOLCnXvpNONcvrptnFo/HNIIjj8OAwUFO/KUUhiUBD4/02Hq0KdH6DtQTP8fm+k++huIDJukvts1SuQHWU5lwQ4gjKzuthTEe7GyqVRI8/4nNMUUGC/g3SubBhPDvLDaWPo65r0JZ5eHeDeWVS7x3TKbi5psSdptyxumy2Rxek0bmSO0WYjyjvwlQ0tBPfb8q8Nhnl+y9ZmxqsbiPEtmReDd9pLbbgvKfNCWhJfe4U+rk2xTHTpc0ER04htUDYVBWcUINDrqkch+v2VVJ9b+xp23tllrq9WTr8CIFMxhbHxXMogQrjmIpiVgj+uDafEnQKat2MFb0Tnd6rfzfu578rGrLs1DsN9r+U+/697zQY594jX9/FwRUoz4pE6JkPwR/W/taBAZ11wMpUH/5dymUQU3ONwXEQbWM7qWMjrGkZR4fsh10hSvedTOv3CtM10Kd9QKd1S8R4495rcpfKEzRC4CMIU5k6TLCFAA5BJpRBf4OgCQPz3WurOhBENO/ne3cf5+MxQJjusd863885dustgiNThFteZO9D9QUhIh1JBn88zXzQQjBl8HB1PMYBPdvJZd98i1QctJ9SwCeI5BkogGbcepSvmbCmMxDrekLnv+J1W++s2sHxSwhInrFvc+4qiNJNn8adPFUugxymU1CccLoDZZ57GnAwMG7/q8bPUtoE18DB2c6x66xZ5WgeefHXtgYr0lhjjTXWWGONNdZYY4011lhjjTXWWGONFe1DjUCcTztpOekEit8SkYEW0GDRdTGZNZEI4exEWXtrJOPsQfZYGxVZQNcwafYUr74CLFKY5yDOWtAT2wFdmA+lngQxDyLBIRE3CWWXa8qswi3LQEuVnkPi+Xskyg5IQ6MWoA0egGQiyjFXTIRoTP/1HGEPEbHnSHQ7q0dzXaIHRUMVwFBSu1uiG6m7Nm1j8gwhNk3kA4nDAwWe6FjnvB5xVpVtWUPxSSkVhXFEKUorDqhV25VoRCNmCrP06p8lOqAl+hWYe0XZmtveCdGKWNof5Iikdd3vEL3q5m+51QOpCtJwm7Ban3Dt4Tj30bNxfvAGierHbdpbgCesyjMETXJGPXY2oY8RmQvIFRAiS1Cxneu5vPNdvgHfY3YbhGMuVRwvSL9gFFUKQhVFNZor6nh3UI9uNBJsZHXqmLMP0obfdkQ1g8CZrut32TWk3tjXst1Xpqnb66T5MH+/4+frKTQVyipQHmTeEOXdeMBcR0T27CaRcVCEJooWUReSpBsdFdlGNDVEl4mQVtFSI9RGarWAyuP6mag8UCbnROm9vkj9TR/svLTavd9atffDj4LMsowgXqR9XVzP5w9+M/eZk2fqhbwcqroKBPAtRUf47duF7uc1Fe3U8ppwX6SP9GEj7aVIt1HyOfcPwjQFdJj3Fx0aIvOcHjxe/Ss6IggRBPojc9CjfNF4UL/maYP63t7O65MB436PuSzML9jWoB7VKOX5ZLTqjCJb/N0YxLhrQWmDS9IgLArrzlEr36f3m7njdj6e36/D+01YBy+36hvW9AAq4Jox4TpodFV0Vj1SYhHGCuZY6tT2M+aerUI6ooBApi31j+rprgFhXYnzVNNnI6Lyvm2830mzfid8i93XWO/MQIxfy5OQiB47eUjT4XagMIaIwHPOGF3Lf9h8a9U+T1/I527+cr5WBGQfxPrb/269UGSg9NPHu+f0VdpXoHGCDHLOsj4CMtA5a11M52znYMfCyBSg7GblOq2/fgLaq1XYZ+2Aup5SSMe8zX6+6dG58P/VP+4THMMWiCG22ePMZauxp+6R/mFm+gn2jjPTC3HePWcbxLZiqqLD24ypm+vrg7BK2GPJk61f/wQUH21c+qoW0jO4RWVd5pi6c5AnxdPjQi6RnVx/px9b3bTPXr+HaKTryCAaRD8PqEe3t7Rx14OB/oxZY6IHpRwrHnP8/KrM/RPaCeUqsSVMK9eT3UH/HICkXohYnjnf8d6UvVOYT8K6a/C1/+6mLDBJwr0Ziyjv5dq04Paosw+1A3E57qRluxMXCyxopuQ56OLAm13kRr9gZgmOyDrV0N16Wl+XganNwCjVdobKbFBeLijzBdog5fKeC+jPOnQCxRaqdZXrQeeHtG0VgltQOycHTuKUyxw5wL3n1+tbYIvZtXWYv8H0eeX2KLt5J+RymfdhnW/DOiqrWfMaKm4PCgv+4IhkQ3ruhpuLaB++n1TTkKuy83Qb07Ga2Igk82Oq/kj7MR9Hwtmm0zDQ5PmWbfLpzZkowvfo1rfVqs1f28qrlAn04RFegz6OxWvDPGm9fZ53src2sidgxobq+b3Hl8dnMxYPOn2Z6K9SnqMRSm670J/P6UPrR5mDcQMKxgTnXX8zt/EZ/WnObyvqVkrvcvDZlAtt1cCGVOiQ48x8WN5/3YYCw0p6Jw7a2bJ+AWLuk5BHlWtm5/WpDRx3e2sq9CKxAmrsa9rxi73U6feicpwLB7v5ulkHusRp/t2YsVvqSylvk1QvNyDdEpXVhUlBRdfrbW7VBn7zXj7n4nH7rfpcOMF5VdgYSaduhwVsPg4LM3MNcr1UEvNCSXN78onVS23wHue3eSbToc65oPbshriQmSDk9MFpGBwtLnhVt+Y7hTJwTf/k6WemwvNLdWc7CXmQvI8+J1NacSwVqaQCWjpfqfoa2DH+Fhb20/pNSYfctJOevKDay9NmPzdEA13mlX1ykn98bS9ffzHN97++lRtftZmWHq0zMQR5HP89ZhMcAr4Gmd/MnWX0Io3V4JmBMVMAWbGuB5m/emdrB6K51wy8Sgk03xtjmptH2/hskx8byJvWr1O9p/nf6jZm7y5zY799G11ppc6gFcaNoxfqafzDJzj1j5kDtlRkzteHNkMOMp0Gmw/zgy9uQMs0jcT1NdWetvPoU9A2D/O1pTHX9AjS6wO2wJRFWBenZGtBW+bH5k8zMGZKguBMrMpioA3nh2ketr7KeMI8rMPV+hpAKTWa03m2Phf60ZM8/nUFbTBGGuivfut6XAeiZXHP0r/H3vKAvZrphVi7dtg7h3zj7I3dM3u8uZcrc0Y5jwjuVOP3gonVsVifhfuwjXv1Djbpszq7DGraJwKIxrXFgPezbBybqzLsh9d1M2Ucj7lp6/cVY9aUV/9tLuThRwB+8Zz9f/z65fHoTz9/eWy7DQHakC8wP6vPmvj8+uq8FP/ZsL68u6/nbzORbmze3kKb1ME+26Qduk7mu5pGp5R72vXuu3PyppTS3ivkVKTtl/IJm5anWusuCtmz6uwDU5j/0T/6R+lP/+k/ne7cuZNarVb6hV/4hVig5TL96I/+aLp9+3ba2NhIn/nMZ9KXvvSlcM3jx4/T93//96fd3d20v7+f/rP/7D9Lp6enqbHGGmussca+kdbMaY011lhjjf1esmZea6yxxhpr7HfKPjAC8ezsLH37t397+vN//s+n/+Q/+U+e+vtP/MRPpJ/6qZ9KP/MzP5NefPHF9LnPfS59z/d8T/r85z+fhsNVRPX7v//709tvv53+wT/4B2k6naY/9+f+XPrBH/zB9PM///MfqCytznKF4hKVg8e8RB8xQXb7zQwDWD6L65Vo5my0dhmLYJMeaCS4VaAYTgouZSxEJYyYixicvLfP1/tI1V2uowVBQVq0mYIS3GPwEGrPVj2iryWtlveW9hki4KK2VQ+2DkA1hkS6D7L7f3FlFcWQch3Ao94vICjq6zqYyC8h8tKGw32Ifm4UrjG6s26HLRkQKI4tNoUJUZa+UR/qlDa5VLnb5OUFSlygQlsfJh4GLSf64cbOakG53c3t5yEZYSsqVkopDffqkWgv7jyuPX8wyCGXHuGdLkjGx+McjjKBfRdE5vZgXHved+2uEZ9SeYdERI1+BrEmxpPJY2BFIppR4lbFciHqGLSlap+tAP1JXF9quGujLbV26lGHY9Ay5yTlt14si+NrG9GXBAKxfQ906IurtrE0kvlNZt9Mc1pKKU03Vgg6E2cH1J37t/UlIiKM8obk8QVxkPBb6BhGU71PmL7a9cdSnUwOHQQ81sdG1E1ObzLtQFeVplJQijZSG4RkHFKNYhu9V/2QJu6cJf3l7M6qnCJLAh3MyHxB1ObsFn2/gOQ0Qm2dWcatt0Gfkqw7CFLwrlKdKsqvCBbbjG3Q7xQT+HPepUJJfVVqsfS4/cJzzaffrb/m8rk0n+GDevTt1lv5eHQtHy92An770qZv54rv3UYQDOqdwlsyDq7cPLk8Pr5gDSNtuZt/W6HARbgrcjKFwifEqXMmQ4KPg5JyC7T75DpzvPMO66+J613RfaDNh/eg6N16GrkyQeBsAF18tiVqjFdS/6/QljokfJ/tcJ+CgMXhJ7inU1JAQdajHav2eTm2fZOjE7+Z5rXWcvWfyqCb91GEfS5X9IyO2wa5I7J+815us2PUSzsB7Q26Zoc0U4wz/ScIs2yvEYjuJ50nC7vlgO5mXG7VE4UCetKx27HWLDPe33ll40F+wMlzNQqugoOlSvP+jvWBHm2mpcJc5hhtH+7yso+PrZB8OEXUtH8zj6MTxrdqLa9YlTdxGSKKcLad7zF8h73rNm3gEMYc+6M2e+Apa3nFVpegF+fc82Anv8f9x5nWUb3H8cM88QbGHAuqxX5+zmknP2fj7fp9/8Yj2Fe77gXzNZv380eT8hxSZGGB6i2a/ZAFVuU32GZ/7/4wT3WRXaGQ37eC0hR9S3t/8sefq/1tkSXBe5siRvpx1Z4nfLsNEMoKt5RMZWvnjglI+YD2LKTFCX0i0MvzseOV3/sSgci9T56tT6MT6q7tGpGyLN/17/uwD+xA/N7v/d70vd/7vbV/Wy6X6Sd/8ifTj/zIj6Tv+77vSyml9LM/+7Pp5s2b6Rd+4RfSZz/72fQbv/Eb6Rd/8RfTP/tn/yx953d+Z0oppb/1t/5W+g//w/8w/Q//w/+Q7ty580GL1FhjjTXWWGO/LWvmtMYaa6yxxn4vWTOvNdZYY4019jtlX9cciK+88kp655130mc+85nLc3t7e+m7vuu70i//8i+nz372s+mXf/mX0/7+/uWElFJKn/nMZ1K73U6/8iu/kv7j//g/ft/Pa592UnvWScurBeTcZnbBBkEBnPmzG7hpQbGZ4+0y12AhH9CiQw40xDPMrRfuRy61tE1OQ7z9RlSWpcSqRE4UGQliGqL7qrw3RKVFRrUPEZcgV974GerojEgX0WpzCnafEKHpFcIGvacj1Cm9C0U3qL9mgRhLVa+LY3IOEl0PgQqeuRSZGdoGCCsi9iFnIsI0i13gDCTg9f1K36/Kc9kxB6PRT3N2+E5G1/l+EalGxIVcfCHyRdvY/mIOE51+hDJShhZtwtxOVdL4BbX98u7Dy+NbmzkcpbjKxbweanODfFJec0yI9o2zDJU6GOQQzf6QcA12QT0prmJS+ipv44CcUyNymZjbz7FlQjS1cxWxlCMQfXyzLvefWAeK2gC56hXyMGoBdVx94079dzevpGjETgG9HcZLnj83UT51s7yR6/RDnWQ3fePntJTSatBqxehgCQVQoe4UPDm/CRoJJEPIfaSQxaz+vPnswvVGNhVvKSD9HLtDkuuaHC5tynjyLEjKQn4Ycx2G55SQc9P68wF1Mqs/Lwry7PbTkWbvVwl5pBSRK6L/huSQMqeOqBQRMEEURc0wI9DP1yPreyACzOUl6q76xuaAHPIe5iX0ndqFpNtBSMbo+qD+GhGctp8S8tIy2Ca2X1t9kHk/V4DvGXJccg/ryLXg0ikTERyR2ednzAHk254zjoqumZEj2Hyzh9ynYrkonLcQyQ1rQOG6hXmZZR+4DDEXs6wWESWwUwJrRQYE9w+oQ/N2r7+xiGpzF4potO2LtA6ow3H9ea0zEX0mrNl8iKyRvE8YR55GR1bvMf8AuaK+2ewbPa/1j5ep01/GPnmQK90cZV7jfOH5i+vksJuYK5jvC5KohF4K7e1s9YfJ/uKpcymVUfuOG45tPifsGUTWKg4m6k+kvsj+IBJTnyPvcgtTIH1YF5ZddOiyVd8nA5JcERf2BlMYPJ3fBHX3ybyub4E6dL3dI9dqJcro/mhO3v/eca6YiWIirHvHB/V7yPku+znQhYPP5/H34qP4FVjLi3oegRjv7uYBy/X2te3V+fPzXJGzU3L+mQeYenT/272oH8dnQ/wd5N90vbb9OkI2W/zB/Hu9We3xoxMSeVK2jVdW9TH5WF6wLZkjWgWWgbZ5L7+I65Zr/yr/+Ph5/CkFIT3XXaLN7a8B9Xs5judzUXAlnxelKLrQa7zPtX+dH3T/OwpiNAWznwWkL+u+3glr4pPVCz75aC6Aaztzm9seHCwCs2n9KecfAFn/dd3fvfPOOymllG7evBnO37x58/Jv77zzTrpxI2aR7Xa76eDg4PKad9t4PE7jcX6r4+MVn2q+OU/LjfmlCmxKK2XmOlsUnERZxvddzhU6VyWaMWPQabFACcImijIE1VaejxPORZr3CWWhYyZVow+YcXCgSVdcOqGunR4OwsHDdiM3/u4buWXNbuXntHHepQdAvKUtUzc6VAOlU8dmwCMv66+XrlnjkAuUXSbrxMCwZLEbaMXtguPEx5hwtqCa3MXRc0l7Tyk4XZfBebsWu5CGjEOyq2Kyi3wmWZWRQxLxfr1jOorz5J+OruZjv02LhOklaPObhytn3ovPvJKfScMaMtpvsQLqMsLPGIU32ZH+qyc5yv0f3Phivj/faR9JrHdGecJ7cJEXLwqtXNnKixdVLzfW7eDJad6ljhFcahUcwR36oXRm9XACLbxgHfutEwhlCMIpBg1oB5XTV5ra4iT3+cUtFuJTV7P5UOEWy25iadut/X/5RCW71feuFaX6ENjv1JyWUnleW3bW/xWchtJtq25wcbWedhf2xbIuChuBVBiKdXYFURQfwG9H0EdKypjV/YOKL6Zar8OpTSmo+BYcVr5HSISvqjLrZMfC4HAsUGYrSligX+rYNB1AIQNJ2IwxPZecZMVvKf1ax6xxUmjqOmmqpN9uKnW8Bfow7yeVzYW6C9iwUS8o4brp8BrFLjzviBKeu17o6/w8u8vcOK4fjFVt7j2xYdevKacEXHUQmDC9zcbvPLl5K8yr0tnYtF7+2XQAOMNsG10ozC032dfYNFMuReGmqX6t6ZpAuvTBv8mnH3+rDZ33qOLvbOjarp+lJ7ucKfTtUF/6B1hbTfbzRb3H0L6v4SA1YD+qHz+j6NLqmqp/tL/JKcxfy77Re7WKwuzcpVjKAueggbONBziD9vI1PeYMHYuOhW74DYYFoSkdxFU7pe1Odwmyv5F/d3G93nEzpT0aEHFMDTTkHGdPLSIVOkK17bdzgzy7yd7VOXF9SaBz60NnDLFcriGcs/wezuUh1casMKa+mH+wiWPKAEqnkHbo6Hi10OjhYJzjTBzfYp9ykgsTVK4VWTIFEeCQJWCdi2f1fOXD1j7ORPdlrJNPx3k+uHElV+ywuxZRsY64R/9+Lvv4JvfOV4c2s/8V1vW094trndrr73/nZu15KcwbPdSqTQ/VzZO4883o+fX1qlbXBLZX16RaO3muPlAw2a1/j5J4jGsCnzt8wPmC+NDlM3EU7v1WbrPj/fxDBVNniPo5rz36Fvwm9jOVzK2nwjLD91PIz0Zxenv1g7C14u+hXnj/mCaIa9ZAI9W538s+sIjK74b9+I//eNrb27v879lnn/3dLlJjjTXWWGON/batmdcaa6yxxhr7vWLNnNZYY4019vvDvq4IxFu3bqWUUrp37166ffv25fl79+6lT3/605fX3L9/P/xuNpulx48fX/7+3fbX/tpfS3/5L//ly/8/Pj5Ozz77bGr1lqnVWwYRjjme29FpfZLpNhSTzqPsmg0IQxBc6WDtshZSJL2jlNBT5A6otSWCIEvu2eGZCiqY2FXUUZCZB73UfocE3beEDawLxO+CiATPH18tCHgo+gBdUwTk+BZlMdKzBT3Y+i1YQDXNhV9wuH6BzjHiI1dtBHIBOOzX14EoxUqgJaWUWsf1XWVJ0ltRrm1QgkugK7arwZdX0YrRLajBu7nsIkXbe7QB60JUnFUk4lZk4iFUJwRxptfkxBVgSCIZRQBuPU0bbvO7KWHhbUKYC8JLd+CpvQbk5I9cy6jGNjAsEY5SmxVXGVPvUpvPptAguvm9L9bn24TS9vZzqPvwUYZeDfr5fqZHkObc3anvt5Ee/D6iPcvCMSIpUs+qCLpjznzMGLkslIVQVkf6PGXvSc8b1SNzWru5Tquk/4sCMvyb3X6n5rSUyvPafJBSGkZ0QECoFZBwlyYQ6L2uTWW6lNFcaRSBglpIIC9yR4prq4YyYQRXFFhALIkE4tg6kmLrNb6HiepDlLcQSu0WEHWitzfX6MwL0Hr+zi47sYy83xCRGuvAyPHWm/XXBBoKSFGFZELZea7IywpJKXq0pwgP6CHLNdsATXFYj2IpoWk1kTzhW1KBJWSi6KBr/3w1l7z1xzPUUlSK7WHrzXzz4xelP+ZrStSi/m8h/EDdSMkN781ac+M+KHBQJ6JbOmvER6BOgtxTtETEXUTi1iMvRSAqOCJ6UWRwoEDxXc8BsNlW6lB8okysX9upY4jXB/Qt41UUV6lPzzIVUSGThW85J83L4DFtBSRYVZ4KkfVhpjB/o/dq491W6vRbsS2LOtyr/y4X11ircMkZaToUFpiCDNp8UD/QzIasZ44ow+1VQ23LGOKZiow4qJuWIqa8sF/XI5Yc53qnIB+5p33l5BlSCTjUOpc8XhViKgLzvP7ejvXO5c5fQQCmgEDsnrpvYgxhvTghX8QVBEcU8nt0ktfY/bWA4cURExypp7rsizv32MdvO0izX2UfG1JPwZJbMhaGfRPrYenHioSeQVHeviLTavXbJc9piZZ+RoUz9m3j+kWJgkBSmEOaLxFnUn/5rvpNXPtXKalSij6JDvvF+VdXjWi2BxqScXaxk9+vf4jPopDmJqw1abeilE/v1KPWnafcZjhvbzzi+63rzJQargWPXso/7J2ztkE4b94T5Zp/69yrWFGnxg2TUkoz1l/+1j5q2XyneQ2yP7DITP/A7xRZ04brNcm8wNCos6+rA/HFF19Mt27dSr/0S790OQkdHx+nX/mVX0l/6S/9pZRSSn/4D//hdHh4mH7t134tfcd3fEdKKaV/+A//YVosFum7vuu7au87GAzSYDB4+g9nnZQWnTTrAeWmU7jYcqNuDsLu1FFYmgaNfg1xnkMHscPNzutpH+2v5lXX7NnCasMPTq6bJZBsN+TBaWgOQpw7rbv5WToo59Xgq/oS91BxqSv9mmvmvGt3mxyTOjDMY6ij7pQy6qDEdDQE1V8G5DCYn6/qKThidPQKQzevEWrAyyNGW/IKuQDQ2VZSVfYbBPx5oAEDA7+7rgPqyLbpglinYaCR4kQKStROPuSuWBTyFyXer/uAjZHKXrRtaQeVAuXJbu6jj8d5VN3u4RTFy6njb6ubv2+fGa/DiuzVi8wtnIH9npD44q2zPCJf28g7k/NZ/sYTFiy3t/Ou52yyKv/eZu4/pyhIX72er70gN6JjQXDI0ficrIPdR3WTNim9oFVoBzqVg8J5q3pmfQ5N31/T+Rme+TjXwYSFfsi7WL+OSdPj1W8X70PZ7JvRfqfmtJTK81prsVoUSF0wB6BOn2phUMoL5uJq5/V6ipTOAZ+5KNCGA02s4BALCympVC5m1wss89aUHAWqCoa2poO0kKexf5iPd1/LN3r4bcx3LPZalt0Fd72A/OUm0LK4qNRpKa1W54u/XTzNXE0pReq4TsPg5CsoWgfHMPVq3VRUZPO+BWpnIe9PG2qTdGYHgqCy6PKD5h9yYaoi+QabiGfqyzOhbt74zMpxGFRQZaaZuuMAKuJhPm9da+G7ojxqbqKS6ZgaXa93+LVYu1SUIr/B4FG9I0LnYMirxm/bOCi2GQueoEy8hSNWJ7Xfo1OggwaHhk7f9RgU6GimYaAt6UQ2aOE1KsJf3CQofVYfpJLa3Iau3b3AwYIT0zbcpzyVY6tS610uP5xzWkq/C3u1VkqpndLgsJ6SbDsyF5/XtOvZpSEfrQGloLw8or8VHBfVTV0jt6f1zg/n1bO73MKAgfuEAsgkBHYWhePCOO68EvMYPx14sE33aOvnPH9A8Mn+7vzifUx/4aS8ADyxYI1oqjHn8JD3kD3UZczbajTND41gcqV+f+aYpPKyjq82FOb2A8A3AFHm5ygGQzmePcd9wp4oL0YqSnBLXQM9XYWUUYPX2bvTpZyzQioTGdKF3JrmBbW82hR6uenezI148eyqA7Sol1J+luBUN+UEfU9nm+12JpXfNUy3/th5JeQ63tXpuvp3cES9k+ps78u5o588nzvZxoNckRdX8wdxrhuTHqaUPzrkBy+k7AjrK8Ya1zzVe/u7aSGIH+Zp9vGu9aqo+OIDBMY+sAPx9PQ0ffnLX778/1deeSX9+q//ejo4OEjPPfdc+uEf/uH0N/7G30gvv/xyevHFF9PnPve5dOfOnfRn/syfSSml9MlPfjL9qT/1p9Jf+At/If30T/90mk6n6Yd+6IfSZz/72UbVq7HGGmussW+oNXNaY4011lhjv5esmdcaa6yxxhr7nbIP7ED81V/91fQn/sSfuPz/Cq7+Az/wA+l//p//5/RX/spfSWdnZ+kHf/AH0+HhYfpjf+yPpV/8xV9Mw2H25P7cz/1c+qEf+qH0J//kn0ztdjv92T/7Z9NP/dRPffDSt9b/geJZAGsWRdPC266q3ew21wdhjaeji4EiIdIowJ6hhd5BJU9KoCImQqwNtYAIE3q9JDQk6k40WWeXdyXSUVG3FTZR7Xkxw+1tpGBR/65RICUfdlBhXt7CnS2CoqBWbb22A4LU8oC0q1SYhaQbsSKiFVCEo3q0oO8XEFyiC0X6kTw9iI8YBVNNugYpJoKtjWDOYt8QAihQ2m9EQ3KoqIyRJlE6j3mWYkJBY4h3As6uKMnGmmpwPsvtuk87PZ7kaM3rFzkUswNP4iunmUux3cvn/+XRM5fHVwc5dHo8hS7QpQ9TrmEn11+ffqkAy7bIx249Krayg40cCnpLJYJCGgCpv0ZcPT+3TfKsLn1ial9R3VtBnEdExK6v6k+0ouhU3/8xtOxA7zLav2FIEPoPyp/tj6I+fSHHdRn//Sa0b6o5La0QYq1uCmNq+2s3zRBhDGhB7nF617GVa0wwXaAozWuQGinFyPjOV/NxEN8gQirCqEJCSKMqoS1CVLogkCKazmj8tX+TX+qdfycXOKAdORbdJ0LESH4diq6EBigpgAa6VFCHzdeIcnOsD6g1v7eITI6t9wvqO4jBrIfdgPwsiO3MC+dLQlsXJLzvHdej9SyLbW98RRQ8j+KbiZarphXbib+TqldH4X53WUoZPSKNu/Qs5m01VGC+BJEhH7W+T0QPUPYCSjKsZ+b1x6peOraIlCj1v1LbDonqRR1vPn1taPu0a2nppf52/gzrkMnT66mUUloq9ifzhfcQfRFpaMyrZoiZx2cuJ/Xt+JvFvpnmtdZ8hbwR/ew3FdUqfdZ+FejPBUTfrEAnti0NjklbIK1+vW9ZbMD+kG68n49F8dlPwlhoeRU2ez/iOwUEYlgTeH/q9VLgwfenXIqEhXtjjgMDkFQXoOadb8+u5YdtgTScsv+UnXP/Xl4/X7+R4eltBPiWnVWl9W/nCVFE4+woz+X9R+zpnTPbjr98V/p4VzTi8xm2Nj6tQdKmlKZ38wd0fLBJytB6dLZqlD0RiIiUTvFBhP1hIa1KSAXBWsGyuFwMqDWot+5vHyMcuTXI5Zkh4DiuWcOXUmK1CgJfoT8XqPFd0i2NYcBFRGE+Lqk8Bxq3c8n69qKSrZfjF/O3sY8dP5crPqT0+IAWRPJcR1FG2NURbVkYP+tMhKVrqCnpTmSIdh+sPtQHUWFuLT+EOPzj4+O0t7eXnvlbfz21N4ZxwaRTzRxhqCi1dYKZ/Cg4BdmoVxRXqKBxQ8xi0BxhqPT1r+bV6UTYr8+kQwdlYjbtqrA6AMy4Z3QK5t/2N1azyBSabKCDuRhkZhU2HpxUOhatjyf89mp9a1RhMAw25pbUWWJuCJxs3VurepV+rYM4qBQLVWfgCxuEggM65LALVOV6J66081CeGiXoxaaOTcq7jRN5VqhrJxkWysFpaRtz0PGeYXMqTczBJh8fPHuYizlYfWPpxgfkHNxFJVnbZaW4wQpHavNdeGXvgA+fMiu9eb5fe/9N8htKizZ/Ypcy/7O3Vgm/r5DTsQOE3/dTce3kIpd3dIoTdSs/f3LMWLCb+8TkITMRjrr+Zm6Hk8fD2mtcbJijs7decE2eMBGSbuDalTwTH57m5zsumEd1hiO7u8UiyAWqtHr7yrqMi/NReu0H/2/p6Ogo7e4qK9ZYZdW89pH/+r9PneEwOH3cYAUa5fpYh0dwLhVoxd4j0DsLIcX9L+W+f0SuOJ+7eY8f0DaCarOOzqpsxu1qHA8pxfePjiPotjhr3PQsCrnUfK4L0lLuNze2HZWj1/cpUZylXJ4+VygLQ7r1ePJCPU22RE+x/lLBAeSz6hQ5A02tkAuwpPAccj9Sv6MbLFTNs8dGPNCZUTzUSaQaeGkjXA3TvpuKjKU8m0W1cMzNinVQEpm3bkrfO2yM9r3/6qLNd3Cw+c70MemHKtSWnMXB6aH6NWUZXyMY96C+z4f+ivNm59X828OXV78NeVwL37fk8JxcJSjupqvgRAmBz8I6Z0geyvGV+n5m+6/eb/e3VtfOJ6P0z/+f/9dmTvsaVs1pf+izP5Y6/WHI2daDTukYZq7BkP+roCQa2okBn5AaIB+bD+3ht7O3Wl8/vk7eNyjvw3vML4zpZzmFZJinLPs5AZTt19jMU17p18HhOKk/9l0jhXn1b7d+2R3GEOe6Ps8/J8Wl6Sf8rfPa2cdzwTb36x98fpIHDgP9Ib2YHt112p3OsN7LuXhQ7+ATyOGeJYzR3NPg+va1XCEXZ7ks7v+cG8wR6IS3v5cntkcPVx/KfJCzB3lh4bplRuBj8A57euam0phruoWuc5nzvUG6fz9/2M1+vqk5KY8P8yTa3yS3+dur80vTc5H27OY/yHV39BJjLqrj5hc0VUEfB795Uk1tcH6NOiukw7B9WmfV2NE/xqHMXFqlAEgppd5p/cR++FGAFPShATkbzUHq/Uc45+239rOwRnF+ZnypHITnKMLvfRUAC3V39GIur+lTFpu5YMN3VpU3H43Sl//v//X7mtcKPu7GGmusscYaa6yxxhprrLHGGmusscYaa6yxr7OIyjfa2oN5ag/mIQowv5c9+wHZdZa9+XNgmyUMsui6S8VlET8IbwSILtGMoKirCAb0xIX05AIHalmgqUpR7IF2WpQUi9f3NOIT3tOoO0ijECGa1OOFO32uB2Ew3VPgRsgSZUC4JKAaC1F96SnTh6uQyjJ8U67tGVqAxinFRTqztE8T0RKxCvEwvw0WkLCKtwRE36psgWqvuAttox0UusU3006ox3B9eCfqV1Uy4P1LFZtOct3Muf/5CKTdmh68gVjKJqHSw0mOYl0fZIiD6swDKrtHSNlrToF8PDM8vDw+Iax2OM79/8uHOVz6sSsZgjIilD2DDl9B9998M4d/7t7NUCbLMgXuoGqzysfDPmrke9ClpAE/5j4fz6EsUXwdxFLmIHelgakKX/VzUYdzx799ondQTFRYXjwrTSxf04GeMoZCsphbB09HjN+X2nRjKaUVIqkzjYisEpWrimyKWBD9NwBVoAXKcwltJV1y00gw15j1QnGKAtVp6+3cDk5eWN2zhNrw3oGaNq+/xrlOJFdQbS6gvQK9kvcwKjy54uQLGmV9jfRLkR0h20EhmixKUnEVRTACggx0jdF138/7iyjRgiLzGtFSVEOmjjbf4Rre27bXp52Mrxbo8wI7CkNEEHopoG5M9F8pN1bIt5QiGtFvY737fqJmSxR82+oJyFLFWHxuaEu0iaIwwRrBIOpH5J422yrQvAuUpxL9yX5m2xMpFcRQdnJ5rvxGPq/YTfVdAx0YlkMJARlQ0ly/91sgKz7GPCXbBFSj7xEQpEFdu37dGYRk1u2gon9/ELXK3+92cdBKnUEr9DeFvLoFhHkXlNIGx26VBke5AR29xPrIsUWa/j6oQpDJZ8+s719CExdQ3PZraYPHLwitpyyF+9vWRFrbnwcoSysMoVrtyRrBKXpK8buAdOR7OH+FfaYaoSJypXGyhzp7nDvu7rU8CQy3YAGyZh6zl+jAFKzSRs3OYMzVAwFT7yT/YXKdvahpx0KuD06zZh+NoOSithz2lKxl58f5muHt/K5PDvNAurW7atznBUr0fAskHHvFuWN9gUXmt5kxZ23dh5kxyj84fp61PN/ghb08sf3qK0xmvF8CgbisUoZduADMZXz4bfm0a5KDL2Ro5ONP1KeTET0ZtGZGfrT69YSoY+d5107dtZryopvvsfE4d+6Lq6iF/5tc+OOX8zdduEemr56jDu8Y1acO/H7WjSkSgiCOzYD6mK7nfOfJ8+uwEBWdkcYOO1G07mR3XS/9wgBVYw0CsbHGGmusscYaa6yxxhprrLHGGmusscYaK9qHGoHYHc5SZ2OWJuQdSyDLQj65jfo8CkbMdfUGYYs1ii0gv66ZjZlIWg36JqWIChTF190AJWTCWZFtlGU+MrzMoTkdjMQalK1yOvDOItWUqm+VxBrItWZ+w5nlukMewSMEVfbNws49QTt6fnnOPUUpmuR6e/VbRT1E3Bk56r1FEtRnc8izRaLYObkvzVe4HNR/7zb1UUIjmuNnsWnyqqevD20sIEVBrb2Z32NyM9dpQDqCThN12KadmCPUhOIhSh/O16PotvqrdqBoyeksh2g2ETl5MM5hMtGIb08zJGNG6OQQXfoXN3MCjQGwkBc2cgjojVaGzOwPcrj08VjlhWy7vdyGb2ytyjO9Xo+y3e7na88nvdprzH2icMsFUdaA+Ppovt5v36au24Ss5n4/H4zQynTdbsxZ0jIPHeEtRZYS6MIu/cD8L/Yzo7vmBZ3bD9aR6cXFe2T8bezSFv2UWv2IkCkJF2zcX/0rMssxf+Nh/kbdCxEJ+aIqp1dKKY1Fp9JlFEXZeY08L1uOVzUvk1KaXPH46cix0WFRDUFEoTB9O7bON0CrkDdOVFVJsEWUWcgvWA8aCO96idwIKIV8LNpMBFsRTScKi7KHyDBzoM/y/Up5k4bkhxSZWKEZ/AaWZUpZSnkENSPq/aP6yLx1Znvf/Ur+w2nW0QponOF9ys5wfLFGO4qUDYIqPDMgarjGttRm/rSthrYkus48lNzz4mY9gsq8fAqtzNZlMEdWXK/mw+ku4/KTenTfrCCWNCGpurkOXV+aN8lvKYrjjLZkbsuqPhSsCXWEiaKxPYSyhNyX9gPqINWPC96ne17/WxPqhxzQradzOTb2/qwzS6nTjuOpfWbCdz/4TfJhv4iIA3PH8DGIu936tZjjUjegl/JhrZjQtDBWYaV8ptMSEti+WhB6sa+G+4uMhgng2DVi3q4Q/ZbFaw/+bYZmvf5/ygOUyMQwLot8FwHlmCOiGEHLCxB97hFDfnnWju5h2uv9e+iDoKe6IItn9vF5/fdTUDPsyQ7YgyNG2FV8iW8gsu3iZfKZk0N8zt711q3VvuWdlAfA88fsBxjfQ77Wmv3h6pp8LFI15BDmO13cLQiG0gH3+rmBvHQnw3Jf7eWJfkG99l9blX/+0fy7OX4HUZUb9/Pzj17IhTSHsHkEW3P8HeTxG7NmFTkrAnjrHuKdz+Fn8f7rotmXxqB5XXfe+3fzIi0gh21u5pWsy/Gd3pW3l+8XhNDqXT7hnmFPsC5yYBnwTHNMjsgZmWAbBl9G1Sc+gDjYh9qBOB930rLTCQ6zLrQ96cRCpsPgheBH0m8AJbjqaG68hVJ3ETaZ4RxcKErANekMxSgbzZFYcTZ+CHvMGJhUDNZ0DG28kwt6fnfVuto4xhZXC3DVoBaMYwpaeMhZ/SDX43wXZyZCIIEqLL1cZy2bJJWPpT9338499lJFW5yvwjg4XKaUq5j0/LxetdkBo/MQh+Nu/e7JwX+5oxgKIiqVY5r3NGlzuoayLc7d6UG9Encbh7kw5ZYTsDRuVbO4RiW0oBLMYLO9lcu2vaYuq7z84CKvkja3c/u9vZFHe0VUNtlRvHIB9XgrKwqcM3pOGVWlFr91nifpZ7YOL49VHracm+DlK2XnfQRgjse5rfX43bWtvEM6n0LBYJxxvNjZyu86Re18hrN7LgfU9ukYoWOR4zkU4mrV1O0W2qZK1dv5/VW4axU6yLyQHqEoR7d417+Nvaf1j1PqvMuBqHND2mCVqLmUVF4Vu6OP1C+sj0ly7SYiUAhNAs1mJWySpGywqJP+uKhzYrgY04FSEHrRqVVavLnAtD26GenpmCksDoMyb98bcbguQ1Epu95/ETZ1QbWWOgiCOAYYuN66ViUzCMCwgD59Nh/vfDWX6JJ+Y0oW4y6c7+Ag2nk93+PJx+oXn9J6dagGCjpjyBmK4cE5V1BQDhT09T1LwjvBQUv7sR6D8E6rcGyckudLSQ5K3yEI8N6UtMqiM45Nj9RmAqwzNkbLwsYlqEYbA1CkYZ9CcI31GkRiDDx6/3b8992/KylzSuGT8qy5JgkBgUl9HajEqhp4SJFAPfncKoBajbl136qxelu219/BNAj38v9cXMuNQ6fh9pv5Yzz+OGs+2nhJMT2qOddfH5xTnafvUZpXt9/K5Tr8KOUa1l8faIsGNgr9MIxXCk0VRCV0FnbW4xuag0F5+vDl/NDQZxwfZKaaymSXwPJm/f7BAHm7U78udH05UFQQcZEKBNE+YI3K/mW+wf5eJ5xjhc83VZTOOfaLil9O2Yvu/oZgi/xTfQ+WTTGWSsxx0MsVPGJ86p7x7Rh/dTR73u9kIMh2ohDRouDIXrDfGM+7tccdgARjRGUGf2C1UJy/kxcI1p1tOaz/KMvuq6TEugkdnwCnde19HKOv/ptc17btkBoDZecqmGCwPChYl9ZfhSChzsENUiIsS46/EDxM/IFDqduFZ1Xf3vdsLfJNLq4W2oBOw4sax2khuFdnDYW5scYaa6yxxhprrLHGGmusscYaa6yxxhor2oc7hvZ4kNL5ILWuAEG+KLxSCZUpim9Wf9F8jSqURipKK93Nrv/Fk+xqbiF+oFhKQAAiftACcbZEzn5Bufo7oBFBrgXqK0IcF/u+3xoSbuTokPcAeh681KD/RF4GsZYDRRzy6S40SlF0bZ672M/Xd0RqDuoRVJeow5TpuR2RiyTFDWI3CpTwLaVWBxEXaZxQPYdEjOYgOJcmKT8EwrCtIE0+3V7fX2i49JmAUpAWyvv5naQYay1RcYhwdGY+l3eF7m+EQgEYUXoHg1X7F1H44lamG7852r88vgsURWrugtDYhHDJGMjS24RUnxlmLuAp4Z1bGxlCdTzNoaQqCrh6Lghkntteh4AG3fy9Npe5rYk03Bnkdz0b5/M9UH8n5zl81oXOPJvntjRB3KS3kZ+riIptcriZy3PxNiFKkcHrPnR+RDTOVAW0/T5R0dPTXF7Rkz5/aqoCKSEgv03j0Fonzp6fAwdo7Gva2d2U2sOIPDLUJ7qmioSKzNLOb+djKbCDR/R9oqNSlQO9ikisCDLNRO5nt/P9B0SUvX/VzY2wipQz4lyiupYiuBPQaaLTOxdG/uuvX4C623ybZ4ly6z59XmSWyL1ADeM7+h5SWQK9FPGl3gnfjOlF1GGJlm1EO6ADtoWLrMtucvwC8ky0QxALwAIKVEoOS44omMC82vc8xZEuaJ2JFB1UfwfBJtVdqhcot0AfC3Mj9wYRcfBv828ff8qy16NuNu6BeJNSzbdRRKSi+yve43uE9shzRFiObtD2QekEBib3DKjOAqIvCKr46UVkSt5Ynw/fMaAm8rGoXOnRUuJ6p8zZtHH7x/iq39Vn5WtMrSAKqNRXqnZQUexK663GnrZ5L6XUe5dAwlZ9H7MNHL9Qv58LfdjG7P6kICZkOxw+pM1U7cE2LesstGlQY4Vx0Qxarut33sg3evQpGE+ii0BDt2dQEUFNWX8bULoHh6v7j/dyBYygf4vMtOyhH5q6ojAPhz0Je9r5kHKxXp0s60VJNobsafepj/VeJcwuPFO21myPj+O+0XResLIk7MRUVfV7Ltctrmf8rfs82TxVSiaFJ+fslxcDB5x82EWM1Hly+61c+MHjfJ+TZxEQon+ElAtWjYwGJtaLKXvzL+SP334hd8zLfQAMNcUTZ+36VGthrXlFwRjKRbsOZRcByHucvABqtVPfL0XpVejMgFY+h+EoC7DgN7IPBQYN7+EaxnHJ8W34BFGkHZi0pFwI6GnuWSFUXfuY5iEwaUxnw57edU5VH6W0DXX2oXYgLgaLVW48qLEhD4q0OeGhOtsGrsKkH0MrXVOOVbmd4/gLlbiDMypQnnFabOb79MmBOAEivMR5pTJwB5khJ6UZjogu9OtAA15Tm81d2BozWPDM5RSqtA4XZmvPt1RwBf8eHJFew6JY6vZCpWbo2uG7kkewta6yDo4bHa5LYNVtHYI6Qgp53TwefCmPDKObrqy5Hvq6OQg7j6AEk1NwsR6bA61Z2rQd2Z0TddRGKWypM/qEOt2ob+8LuQb2IWmyBae2TrZejaTjNiOWOQp1Gqq2/CY7+LsoLB+xm73ZR2oTGzA7nFFPfc6fTsltgkPVXI3VRG8uxwsSR22RA1FKtP28x711ArY+n3e73W/Nq8P2tn2LicJUBfYhKMfJ9AD20fVz+6jeST12sTBnZaIKs+/UxrnseKIju1XIH3vZhj/ApPT73drjlDqtSAN081KrBMvGRerLouDM0GkXnqPTsECbcRHjxk8qdFD3rR9qL+9peYOjVAeYmzGeH2gqOAFc5KtAGd6jkI/LtUJJhTioOM6ra305yoVjzFxfms7MQJFSZRGnU3gP5pTgCClQbEtOuOq7lhxTUcm0/t62B7+fdNtSzsTNt/Lx0cdJs/BGLsTZnfrnatX9F4yt26/VO8CkBFr2kM+SwJnj/iOUJm0QoS0xdgc17oLq99xvvK4/+6f92W/TYVOg0/D9mO833mL+fMIGXQfeEeehNIYNGU6+uu9t+7WdhLyHGvUYxgs36sEpm99j803qhnYoZf38dv2+IfSh9XtUjspGhfn922KQUmuQ0uaD+o1xoOnpsHc8KVA3l6a6KNwnjOn0Q9tSRW/vHwLwYPw1p1hnWj+vSm2e96G90q5PyEkX6PLcMigo79SPUaVcnNtfXC0QHn/CJK3+jn0N+UwDJXqzftyyX+us0RExYY+h8nBI9cX+a1rYL1Z9PqQZY181u5E/dt+88HdwBj3Jz5mRbkrn3GyT/Q65CUtzaciLjE9AReIL9i0X6xydE965A1hgecg+19z1BX7oOXT/82v4DFyaQ1kPzuvXc6O598e5z0xvV7b2x3P0czFxIbf+O05D6c4zHLcGUA1QzWrmupRi21PVfONRftbhi/WuKym8Bkdtq5v3V/eZDXOFTbfqnYaudVWQPvwouRx79debFmPznXzs2mm8qJ8nL8hZ6LY3qK0/s7pmyN+9d5hjXcszbw0BElRr0HlDYW6sscYaa6yxxhprrLHGGmusscYaa6yxxr4e9qFGILbPO6m96KS5ystGzAuImpb0Y5WBEdzooEhaIeSMDuh5VzgloMkKCVxLyB0934N7IANRao0iBiArKE+be865aVX+Dgg2ozIdkWfHIDDv52YyuY24DBElac7SyPX8G13qgbyctYVH5MOl9dStr6fluu7n/F2V6/A7b0F9BdXqQlB5dIvwgOqz/DZ8SyJyA1QRLz4Bou9k9Y07ip9AOQ9lB3VpGxN5MDNZLcnCFVdRxUxk2wLYf4t6D3UJsjUIpqyVlbuE7seEbqU2//rRc5fHn9577fL4gjDOrJWfeb2fw1dPCFmdTDJM595FfnGpytpDRF160Imvb+S+dTpZRZVmXb4Hfex0DCW6/95hmuEwl2X0scyb2WBsmVDcDhFEdYDa9JWLc9Tb6HOiqiv0tDXR/0qur9a/k8uiiIv3mBsVFulj3yugtmbQ/av206gwv39rT1Nqt99FnyOyGVRIK/qsFOaA4qNd9I3O5mtEsEnxNSIqgqJ/mI9FlgVEVEEkoY6KHFRSsSWTuaiuIYmqpWhbB0a6Q5stUC6lgQSxBxPLi3RR7a6ie1HeGUguv53oUSlr0inrUE8pRUpOSVk2XKO6NeURtVVHcw40Uml13FsURkk5u9SubEuqSAbBFkxkjNTBoJYtKnVdBpF1p8/n463X6ROqioK0sexG7G0/4Rr6WQfEaaRDclioV1Gs87X4Wkc1UJ7jemN2vZDtHZuJxEUsbknqGss73qpfDKlRsAwiFJSH64cPKjVV7k17D+go2k9A1IiUOq6/RpVrv5mI040wdhSQmsv6Sa6iu1aIrEXh5409be3xargd0wYdKzYewgq5Xa+IGkSqCv1qk/uo2toKiO187DhW9f9SigzHHumGjn9HL8gcyeft4wFtyZxVStUgCt3xWnSW49iTP8ikvLad13JhTu/UqwtPQGyFNYZbV8br0fV6umiYb89AAA5gwbD/ujjLFb48zoNE9VwForqg9WaMlZN9aL1vwMZTgIp1qfNh23QVMMDCPV/LE0wlRprSu1h1LOBdm987Xg1Aph8aXZCiDBVomWN+a9vG7msIC32i/nrTP3QvmAfvIMY5zT944zRPfqY4MmXRQLbkmrm4gAE31vchK6HUn0SsK3hGW956C0X2F9j7FPYeE0QDXUfpfplur/7QmdSzBsJ5yjvZwa9RYPM4x4kcdL4Lol41qsopxe8tCvr82tNrN1Mc9M7q+2SLeez8bj4vU+fkxfXzPkC2qQ+1A3G+M0vLjVlq6QDCCRiced16J1VwKnGNzr/5tdWXaumIwcnQhj4rNDndyzPV4mpuZS0WhNNh/ScY38odZ8BCcaqyM2U0f9r4iDyMwQk1f+p3ob5Cp3/6/VNKaVlYwKpA1UEFejmod9QtyDWxZGB3QG71LJDX8x1qFnHmUTR3oYNdB2rzXIqN3zj5TuRrUM2Z+ksM/tLdLz5Rn3uxanvRAc6C/HH+jlKJ51C+p1dVC8+3Dg7Sgu9m6XO95ry+TbbJMyINeHud2KaLU/EqyWC+fHbj8tjciNoGHoczaMUqLKvU7Mi1gWPzrVGeCHX+7ZKzcMY3GPLcidJzazMfyGhSXy9SME5IPiIlWWfimPs4WZs/UQf0EppdoAdD7WiTlmCx/n5ucMbP5ud3SFtgDsSLeT2NYV6gXizo5+3t+kZWBRBcUDX2tW0+SCkNU1HFMTj21o6ksGBk8REpqLQj7hecO8ExRf95JZ8+yTGAsKkbQAksUSlqnS4yfwtqq6U8M6a2kKrjxmGGs3Qg1RvHgs5HF4El2rKLuuq30eFKnbJhvTA3UaCFQ0Pme+gYi22gfqFYUhAsmbmuqt+WaKRBqbaQa1EHzekz9Y60En1Vx6U5905Z8JbWbiGAUTkindfdKONc9rtLFZ7rVHM9wVhvbuE5a4v5NYJ9BuBMj0IQKXwmcid31/mu5+TIck6RMjfYy42gQ7kmzDWzC4LSBBiDs8Jc3Y71pvTBORecaKbywrFYtavt1/PfT17g2kIf1tluwOPiVj52k2a53IyZC1MnkG3GjVd0iD/t+K7a7PJ99K/GVnblS7PU7c3S6W3WPgUF4ki3zceOuVLnOsEJZ67MfDy6khun6qsGw+ZrB9fOq9AEn8vXSn0eknNQ52TIF4h5jWkseszVW/fyRZMd+pvOR9d05DvbvE+A5O3VuHF2O088xy/k+zm+h/GPeUrz+rbzi85dA+GnDgTMyVfzi4SAd8ilT3779edrkbc97NfJPyjtfHyLemQ/J2150a/3B7jHFzAR1kXkG3ePFpowytHVGBxSgZkjX0AKeRSXJ/ma/S/nZz75GOtug2isW1w3jEkVsPGAOct1vXPG1Dku3+fiBBBCtQc1jRLOX4NJbitKge7+CWk0CDIcP59/vPmANGWsdw9fMk8/ty/kBb9skiHw6vNpJ6qRn9anErDsAqa6pDw4uyPdn8I4HVEfE8aR/a/g/Cf9QW8dQLjAkW8/DPPYyEGVYA3jW5WmZNF+/3u1hsLcWGONNdZYY4011lhjjTXWWGONNdZYY40V7UONQGx1lyuEnR5TuX8gLrqg6KYqB4GQmyMSMVdcZR05aG0RHQCa3RoaJgOpBuowqaoqbfoh4R0RYVJyjdZAD+5dyRGdOVEDRVREBi7XkR7FHTpGYt4iBHVdLkk+3Hgj19H4I6Lc8IIrSqK4AojCkCy3Wx8VEea+LIhKqDhdZz5HtGBQ6y5Qflq0pQXIGc8vuWfLskwLvnlQA1X0pnUGnUiFZVCMAQmjWIoqzDyzQxtoPaBdg1hMhW8QqFaURwEN0X1bawSiVOU94CR7vXwstVkF5HdGGRby0mZGKR7Pcpvc7dZjq6fcR3ShZVQY5a3z/KwbGxmCM1qjDfsgAaX4dkHRHR5mvt3+fg4jj1GMMGLXBnEyGIpIhd6OiFJnFwEUxqX+Vepymyi1dOb1t+8whsyl2vvZ+d0ElXTHBdt7bx+k8xJKQQE41l+rsM9TA9d4v7YYLFMaLAP6RaSEKIcKqWUkWsqTiqwiyCI9MB+PFJXo1yMxTIqtQuyogIKUmmoktOq2on+MVosuCrSPQmRVKklQ6HUaVoDBCLQqddKWQR5svkVfhf44Oni68YuAFJmpCEibOmpTd75rQKFKm6ZuRLGcg85K4bd8P9qEFPSdV1f/Hn8kv9vgcYG+WxD4OX2GcvGckiJzoMxC8wnCGixLfFboE6AKL1GuipMgArJxj3msUC7ZKD0QiPMZ6T1kuOwWUlp066P5CrqZcmYy6D59nnVTSBXzGMSHyETfeyqEgrWQKW9cl8GiSNa7a4uAWK5H8my9aoL61b+Hn1Q9FJqcqC2+b0ACSwflkVKwZrQ9y9IDOdIH1dimT4R+KaNbUsBWfGargHBp7Gm7uN5JnX4nCJHMoMgrFOK3c+7wePt1xqhjEDV32CeURK9c6opqXHfhIAZWQAtJYXb8dSYI4iOFtuLYdvJsLsz2W7nhja6yt5NdQD+X2jjefRpKWEJ4Lp4m3TxlYSwuIOIdcwLrIbkGBQWJaGOPvYrr2On6+u4J1GOEU9xLjU2tFWCa7MfZwyUQ0ru/kev9+GOg3NgjbjAPzraotH3K4xDM+L65sbrm5ChPmr1reS/T/Vd5UXLxMorUsHqefEyBzvycsDcH/c+2KXyP8T4fCgaRTKvx2IGXNCT38/lqLXTy7QUVIOYa22xAe/LT/glp1TalmudrThQ9YX3nGL3xNnMpdGZFjyrKr2hBGSOKDM0Vqt2ofycRzaJ1Xf8EsSSZJ1S16ElTu5w+I/qf66vyO+/ey2U//CjzHutFmUhzmKYVQncxev+4wgaB2FhjjTXWWGONNdZYY4011lhjjTXWWGONFe1DjUBMo05KrU5qbefoQxvEwBxOfsizQFRi0VOfvT6/TGuN8ggCFIhaBNESkvKFHIFGwHgFUWaGE5S817q860xEGDl42lxjHsjuOgnqDJRfiNbcMCFGIeEtudS6AeEEcsWoNDkbDR0HZGQhV2XIF7hZCEGvr1kUkHghP2YJAVl/GNGAIbG9UAzeg5Bc8Z2s73UkoLWR3633ADERcimZyzEUUoSn+RNFrSqUA2JyBqpT1GhAVQY1D6I7hC4frUVURBR6v91ejra9eZHDsgNCMTcGGdZ0DizkBiIqr15kuMyjSQ5Nmcfw37yZVRU+cftevueM8A42IgTUXiOZRS5OQBRavx3akihFrU/SZIVFFHSaivqzzyuQtF2PWGyDnp6e5jrb2F/V90ykMa/fRUTmfERI2fFPVO6gHkXTIV+NY91EJOU6p2lov419TWvPWqk9a8WceqKB+BwVOmBRQB0aqV0QdRfdE8RKCoi3mMeQwtJOl4VwpEhGBaWqbt5WtIP3iOiTmtyJ7zJT3ok6FGFp/jsBzaLfRFguDvJxeOqy5j0Kuf1EBXpNFEXx3qnWvMb8Pia8L+VDDAhL8z2C/jp9dvVv74TxCQSAUfEgRMA3c35bgqps1QPVAkon5PqiTdgOrFdS7saE6ev12oz1iXP22G8q4o126hpiQu5Acxq6jnR90jomFzI5rWQlhOVHX2gpCJw1AqZ1RGe9kStJcYHxYf4gU3M2Ut7edj1K0vXrtDCm2yRn5BQM/Z91wxl5Ui9/zLW2TcelLnkMRTuJFHV8sz+3C/m1zH8Zxi6qw/FC9LDjQtWHLsWfUmPv12YbrbTst1IftKDjjLkv+8esJRD2SOYoHebz5/36tXEJuSxi0HyEl4h45osgACEyVdIbY6hzijkCHcP2XkHQ4EY9ctg8bJrjcaeQg7BCn9lPwj0KyMwO7d5+dfAb+aLjF+qR7AHxRn9un9a/R2CXUYapKMX1+Lc0z7s5FUEmTl2jsmcJaCuZWyAgj1+uF8jsgMa+uFEY89h3D27khhX2kevr3WuLtDx/kffjdyE3LU3c8cl5zzbm1llBO9u7OWMPj/OPtzbzQCqjCpBiOn1pXX73nyHHNvsURUYUlDvMxyIjzSl4Buqvb7913Of+5l3eIN2+Qmyd8arssw3amswb1i2KMp1fr8+NWMrZOjxkPrylsCw/FbRZyIHo+jXkL63+LroQR5PiQJaxC+PHslzOnx8AWf/hdiAuVv8JNV4yMHX2csta3GeE65VW6PmwDTS5Snjaxqm4YMBS2KREz3Gzb0JqqcrSBnV47v+jPHMe/fsXtdfo0JzjlGj53EuHgpRo4LFAyRNqV0vUqILDUYeKNFnoz4FWy+J4wfn+DnUdVGHzoxYklG1Do5ytB/n2CY6g28ziLGoXD5R/rHcOBvEKnbsO5rQfnYPdt0ioy0+nqHYFtnT1Wwbb2Q13njidaG9ByML33oG6TnLfRBtzsg6OTZ1gOkvZJAmFF/Je2cNRnoS+hW90OM3t99Ywj3aPcQJusBpSkflJa6v2/C606GPuX9EFUkppNM9t+K3DvFPdHpLgeG6C+tW7no5y3U3o230V1/hmo0kuV53zLKXo+BuzIe1v5fJOHuT38HtXDsF3/zYY96/K3OH7Tkm5cN5B6MXvTnuz3+iwjyJO0OkMCCi0dG/1Ti2T+Db2NW3RXabUXabh/XqnR3CIrZu1DkFpHyb/7qIO6+Z8WfDt6qhTAGFEWYJipeN1oB/W02Crjb0UxlCWwgK6V3BkBVo21MbxtXzsYjOIsVAunW1SpHV2ReGX9UEI7OTDkuDIIojBUHZoluOD+oV4cOgWVnFuMMPGuiC0UtVfUFvmO5YEAnS4mstAEQzbjBugQMcvDBGFDCOhT0jrmuytGpbrGcffWQh2MjcbeDSuzHqt+xgRiE2cIW/lDjW9QrqK1/N5neCBRol655yk9J31BtnnmM5i66v5d6cf513PWP+p1DyyodAn3XCb0oYFmCJyttXNt/P/qMqqMEr1/VSQXrImUTDH86VUBQZF2vU+0bCpKlGkvY+pCoJqPCblLaWUlvUx/sZqbNlejS+zzXonshv8Gc7BAc5Ef+t4PYT+eHGVTb5jKs4Hvzvx6cv2Fjb40uWP68tYSsOgQNUCh4e/nRcc4yMEUgyUOB4rOhVSO6zbvmNiZ1wv9DB8zJ4MJ+4ISvQRlG7nC4XSJvv1CBnHrj5pfBQM1GloGp0q5VXL7TWghylpyVRndpyRBtxxj2yA/sI9J3MD+z/HqODYy4ex7Ix/bergsuwKlTisKOIyKUyIWEjPYlCPdrX/Sq7rI8R0wvqKNZqAiPGj3EnbBq/W3yE4SvWrSHvfcF5ItcdjAgVb7+T6Gh7ma85v4hyErm0fCmsC7j+6Qr1Wqdyor51HpDcjIHF6i1QFBjX38/EQR6WOvycv16dTsD+71nQs0kG5QR89u8n4VrPuC3/XOYiydF0aoZRyfSw+gN5lQ2FurLHGGmusscYaa6yxxhprrLHGGmusscaK9uFGIA4XKQ0XqSWllQjFHNSNwhNGGfrQPWRGmQR1XkUiQCX2RNPhsZc2LfVwAXJHkZP5Q9zgm1w/ydcf/nFc328jpQ7luEN0J1B/paker+m+N+sTzoZE3LyrSbZ1TosiFK1n3UkHlbbcuQ+i8CUQiEaAgE+LiFqGZOBr2ulVIeygKkGkLhDPKZqRcdCby0C5Jnr1JH/v+TNEaEDFtkTICmNf15P0TmmsMyHhUrGNkIOgWIAwWIqskEpP3Rh16pyCxBOdibBP5yGJdoG9bPRW7ekjuxkatA9PROEUUYdtwjL3zjIP7w/uZ7jTO+Mcuh0ghDIuwG6ubp3Vnt/ZyH1lRLs6myoEsqqnC2i9Cp7M7ef05w5hwDaRVSnPXdphr0cklL5qYuXZO/kjz7afFkJKKaWuYixnTyMDu4rB0JY3hrm801n+7ueD+jrtiXjl+bMR4XApiqBYZtdXZVxcNCIq79c6F63UWbYCcsYE4BOgWtXwGuiXBpkDWigfi8LwObMtaZ/5/PGL9SghkSCKFYgeEo0023667KVk9yXaxWSfS0RnkBB6usePpTAWklxr5zfzcUDo0dyN/Fd02/FVE1JLz8vXbr3Jc3K2hUCPM+H+gjIOQVUq+lCirBvdLtGApdxVbcV72JbC3C/itQCUkFodEPm0N8sYKPsFFJjPjbT6p1Nw7OzkddPFOI/pixv5QX3WKuPT3Dgcx13PTAXaMH9OWVNJg5uQYL13Uo/imzPfdo6fTpbfBpViuzp7DmaIzAnKK1Vv+4t5fD99OVde74i5v1ePUAlpAzhvf+qTnkCK6eXPXF+bQB9E9cXNfPPeMUi0w3xN6J8BUcg4w7cRqRHQtQroaAX0cIXo6K77fusDIDV+v9uiu0KSiYoJSE9gWGF8uqhPQ9ABUSO6qJT+QWpfQMRL9VwPF4EuL7paumGBXm/7sh15vhJxSCnOmWGsLcw19hvLE+tyfa1o+936dz67zZq20B8CK6BAb1yIXLZfkNphQpqdpXtd1pRbe3nMrlB689fynmEJu8z9p2kQliD+XKsEVCCoQxFZIg2dU+akgerfzwPKBHbe8gj20fX8HlXTDml8YPv0DqFig153zA3UVYU0Cuslxy1Rh4Ftx/Vb27CyZn7wbD0ZWOv9cPsh8yqpy0ppZizX/pfzMx98GlYUFOLpZv04Pgvry3xs3YhqHjEPbz5YnY9o6Hy883ruOI8+RZstUJVl/HgcBI+cg9iillCjfm8Hkk4Ng2bjUa7342frMYEX1+vXoyKH+4eraz4Isv5D7UBcLlf/tczXJ+z3em5NofMWuOGLkbDiAk55bUH11Et1QLmQa9d/FR09Uo+lqap+mw5QrLpHp5O2G6hfOI/WDi6ZGCF3II65IdTKPg6Ps/N63tecXD8hv6DmhHfAYMR7d1XFVp0YSueixXda560LuR5xTi6fYyDXWapDrpDvrc3183Oh5UxcDprcp833Cwtx7tl+bTUKmqOwu0ObHeg4YgCgPejkVGk3tFknzse5bqQ0jm+oAG67xRkELdl33V6vqPcLass6Ew+nm7Xnr/fzLnjKKvPWIHOR/uVRllnc7Ob2uc2Oe8HGRQqzlIXdjdxXnlygjLbeNJ5SjzrhejjpE/2jQx1Nee9OYXPq2GJ+Lfvc/Fp+p+kxG1sczMvA43l6N6PCskqiQ/qzynCDvfxMczY61s0m9YugtukiDBSs+0Gr4Xu9b9u8n1KnH/O86H5VOa3agIQFyqh+0TWCyhs2xtKNw9z4NA0xpXf5+IJDJR9v5PSj6fw2Gz+dY+vnTnfq6RUlx6J0tDEq0D4/OLR5pUppOKWUjj/CPXFihFyGDuMFqvclRVMaUFC8zmUcX6l/PxebKvO5Prm4no+lww4f8lwchWEd4OK3kJOoqgOpaX7fOrrz6vn52DbrIli6tps98zBNpYgXnDM6ytshwMYmcD0u9cn1enRm2ggCL1TMgE3UmFQUCzZUrYLzPKi8khZmSXnn/af7bUpRAVIn+MY7q3HUNu73sv30HhKgpi1d3MoXnb6kt61+Ax1yWBaonKV2FeigbIyqdqODwrY0ul6fR8t3NX2A9OTQ3gtWR+9MKaXRtXpKuW1Jx+VoHSCo+nkYbxr7mrZsrf5z/JOCq0PATamUPK/XyaCT0fPLwu7WOWjrHdZCz6x+MNIhEASN652cmn0vODCu4sC4l595foM9n3R8nfT0g4PfzA8+vUuO/5pxoegQpF5CQKaQDsB8tM4HOuyDU5ZxLqTFYdyfTlgPEyBZPJPf79LheE1vTb1mgfvDkGfeva6AF4EcPP/gN/J97n9HPWXetDABmMTY5V6hAh64l+qT8iuMs/gvbEt+J53wQZ2+JqiZ0rtSxBQ4pxt9tBXwp/T26/cEVYUIyuk9Yu8jNde1FeV99Cl9CRTGWJWZtXi/5dNFWZWBYGqoD5pQ5ZT07wucIme38UdQj44zOhxDqgTml8FRvv78uvN9vmbO/NUyvY2pY0xJZD+v8UsZEA5rc+a3Eett/WWVM3ExKkRhaqyhMDfWWGONNdZYY4011lhjjTXWWGONNdZYY0X7UCMQ2/15ag/maYmQhEmouyKviAi03zGxNUib01wdUmmrZK7LR9l1PCeyOweV0+rVnw9e9QJldQ4FdSEShHKpdNd/MYd8J5P6T1kbOVZdj7J0gZUrHqEF+rBgFajbS6MyRH0CKk+1z4e45O8SdgHV2DoRd0v515S7NkqFsx1opKIhRUwVUKjt69mFPy+J4wjXLyjUlqxrZOr5ivtWD20RMbng2HoX5bbwu0pHJ6IkPXmyr7gL14vEBR1peaTeVirIU0MxxCaOCePeRG1Z85ptwlfHkxyafmbj8PK4SyjrjfMrtfds89F2+vXci+0B4i1rYRjh/KMx0SjQiANQfOeicuubVTCpHCJBlkSaFGyhuQcq9OSc+4B6qYSFFs9wD5GOV3KYbBPEq2OIKMLRFAQk7be1C+rQBP2ibKs22X7/Ua3f73ZxNaXOIKqdFqlO62ofgEIT7VUSSynRMaTSdhQ3CKHGeqRdFD3IxyUa2CV9ooSUU8B2tx7tMDgkgmqknebo+13cyMfOjaLuOgWaVsmqdy39rnPReuralMqIxhB9hk4cEE/twjUm65YWTSQ9UMOZbivKsdeKKBT5EJABJkxXu4v79KDtnLxQ/9sgjkGbCOICIILKlLvVj8cz0mwwzl0c5ZuoBipK29Qn8yO5Rax/QCMO34DWJmIwIGN4D2jUInM6KIuO1sqfpgCQntyBhjfdQcwNtkQbhKcU/O1X8jVS6bVAKQdVJHPBdyqJDNnGctnzsaixMH8WUI+OUaZlEOkcBIdc2ojCdtyRkML1gRpaUfzX44z9tLGvbe1ZSu3O11BU55ta56Zt2Hk9/+DoJdb7sE4UC9l9FWrfc679E+edKFb/iJgqoYz7p7BIdkrzZDbbysW1996rmcbC9n74cn2jCyjbtYrt6KB+3hkxpgd16oK6b5hLVaJmLNx8Kx+fvkyKLDsfe1cFNXtX61P6tNbr2ICKFoGu+InMsfP6iXU5tpNzXnIiaHDHOS8KiG1ZSY/yvHLRzRPhYHs1GDm/jK9TFwhUhXtT74qGhLQfUPN75/n45G6+5/ZbiAxdU0wk36cHWn9MaiL3IdPHufNuvLGqjwsEQqe77EWZd/pH9f0jpFuhfQ6OuOcGyHoRyypOF5TSg4I7Vn3KzQcKhtGfd6kjM6ORFqfEvFmU2hJl97sGEtlx/TUbj/LDzpjjtt5enZ9s5fL6TtKZFwFJnS2s3dasloDgfQ/7uiMQ5/N5+tznPpdefPHFtLGxkT7ykY+k/+6/++/Skg+0XC7Tj/7oj6bbt2+njY2N9JnPfCZ96Utf+noXpbHGGmusscb+D1kzpzXWWGONNfZ7yZp5rbHGGmussd+ufd0RiH/zb/7N9Lf/9t9OP/MzP5M+9alPpV/91V9Nf+7P/bm0t7eX/ov/4r9IKaX0Ez/xE+mnfuqn0s/8zM+kF198MX3uc59L3/M935M+//nPp+Gw4CqtsVZ7ufrP/Fug/kLuQEIOc/LvtUDaiD5bXpgoYp3z5CA/Z8a9zdsncnHuPUAItREoWRTQZ0ty9pgnUcTioF8fuQkpCIn6pHurum2J8jPBvSIcIpBOydNBhDzdzW71xabRJepDZ7YR30LeSOsviLFw//YR9bq3vgaJ+YDqouytXXIfzeuj3qHNGMni+Z43r0VADILiS0S+JiA+W+t66tB+xqAjuuTEW4qeJEfPxPeg7jqgSUW2irwMeSD5BiW0WOdRrsuLq/mev3W8gq7sX83t4dYgh3GnRO/MjdghjPNonMNRN3YyZOkCmImowxMQi33EVU7HOTQ1mRdymmIV6jCllB4/XJXhxo0cCjIfyOiNXMbWVfIu0sZ6V8ijBeovCJ7YVymL336wZ7JoxjSRP/YzOlfVnqb8bmDORsJqXSKPZxeMvY4hRm4fmTSHa67k+3cZoyYnq++3uPjwZpz/Rs5pKa3yGbUGMX+hUXLRNVUU1/xxXcVBHB78dEQet7NmUZoQFR6B1hMFZrmMvhr9FY0oiq0uCbwIPeeCLucngoxFCBVyoIUk1Hb9XuG8qDyixeODfJEiEQHlWfN5A3qqEKYNKA9FSXynEOr2Y3pN/T1FVZobp1hn66TxG/fJjUu9m5+vB6pAVKe5uNRAs45sM+ODfNw/5Hraj+W1TWiK/7Qw8kJjAAEAAElEQVTX49XpaX6oiOruA9BLm7mQI9AOVrU5s9uuLRBDmCDiFlC0jJ2LKyBzRBKCdmyDXqyQ6rJaOqJxxvn9FLEbmTB9l7UuQmknL7FuWdTXaUARgowxL6DfvgeCwvGoQszYBmbvQ+xn8CQfi24Miepp19uv5WMFfN5P/jD7n3039NH18SU67AMilb/Z7Bs5r1U5EEtCIaJUO4fsSRA6OH4u/2DrbdaCz+SbThALmW7ByigUdfM+eQrXiL1SuWI+2Pp5ymu6oCGX5Fib90EmmbOMuXHnzfx+x8/Xv4c5R52Tq34b2ndBGMh53ZyNoipLSGDz2Y0QEAtjGznyzPE/Z380uM4+h7Xxcn81Xip+0n2T/RHfZnKlfgzrmmsWURRz6Yqce/JJ9RTyfRRRWXYRnWJe6YNYnN5gPlo3CtlMYc+5zVjM3s55RGTiNm1jvJefPwY5tyjkygt5RJnP3UO1yXk+ldnIPHjxUk0SUHNZOuaCMDd/dUCsY+Nd6lexIu4ZlnS0Yd91/0t5gD78aF6wbd1f19/ScYY9OmOI84V91TVtQIRSrhIjZ1aTdzql2LdFnCokE3JlrxGOrnWRDEjICqTzW/lYZG0X1PFlLuZxYT1QY193B+I/+Sf/JH3f931f+o/+o/8opZTSCy+8kP6X/+V/Sf/0n/7TlNIqovWTP/mT6Ud+5EfS933f96WUUvrZn/3ZdPPmzfQLv/AL6bOf/ewHfqYNPh1BM4bOrHOnt8vm36SshXqrFHD93eRJvaPn4mFeAXV2cOKoFMQAKyVRgYI5vUXV5u4X8v3H35rPT3USqchsctv15iyoNOvkHNQ7Kk00Pud+XZPsU3cqW49NdMt9ettMGnTetg5NFutePwW6ntYJzvub+e8tYNeu8XQitU1uDjVd2nTaZPEthRjH0IKyzxXwgXaug1u6ffvJ6pr2s3lUWNgepIWaOxj17da03lHZ2cP5CgdWR2z3CSIjV5kQnGhJIN9mc396ltv/t1x/J6WU0gZZac9x/A3wGhxO86h6ByfjHejJUUQlX/PFsyy/qLp3lxXOZje/xwgKWxdH76sP865VJ/zewWo01bmtE653p4aLlVJKfDP7ocGMTWjRKh/rbJ88ZsM7L4xLKjsr0kLAoUoVoDN+YAoHRVymjhss/FQelbZ3pz7Tdut+LvucvtJd96FF+vCKqHzD57TF6j83Jm7OdaZVi/ieCxE22FpcfOTjk+e4RhVJ+oHXl8RSomp0PnaxruBHFcyIzj4Wb7LiqYuSUEigJLpAJ+m5dJrJHu0UddsgIjKvf26ge7WefmZJ7MI6CpS4w3xsuXx+SJg+KryHtCsOTXhfEtm53GQWKM5u5gOtGFqoDmLFUhIbo+igYSxCKdFFuXRXNx2btL2lVLm1jVnbDN9k86qYx5w1gY5FU3coYLahx5xD6XQ6nVhTGZT1WAeiyfcn63HUQKoBzvbN3Fk70pyhbimkNSMVReI9lmfMAaxhFlcQukPF+vhl0ug8QkGUti2luhI5HD7Kf9eB2TvEuUt7O7/DO4Vk+rmMtr1S+gO/UxBgIRH++Fq9gqhtpepbO19dlWtubpEPoX0j57Vld03Lc7wO9MB8bFoK69/jU9TCt97JNzp8uV6xNIzHaglt8ax193AOVHzB311chebIOw1wfo53pKbma0IAzJQP3Of8Ok5DHBHtQF+tP67atfPV5j32O1C+7Vcnz9XPHT4z0H0R8jJVQhgXqZzlovaSNCIVj9Tm7nofN0PQKr5nPp6TNksRK1VmreA26XfmZ0YVuf+VemEW58/eV/MHnLyYP/LGVq60CtyjinF6NS+QHCuXzJndJ/WimCfQ8XU6l1LRjPZx7BnUw7nr3vzKTh6EHx8R6dmR77pWYVaZecR3cs4sBGdKoijBee106xxQCPL43kcfyd+mLv3B3quUHSdnqR4tu/XoewRnYnDcSpHOz9pgvDCwIB1942F+sMGSqm4sr6rqjjnOq+H6Z1lrFoShvpZ93SnMf+SP/JH0S7/0S+mLX/xiSimlf/kv/2X6x//4H6fv/d7vTSml9Morr6R33nknfeYzn7n8zd7eXvqu7/qu9Mu//Mu19xyPx+n4+Dj811hjjTXWWGO/0/Y7Mael1MxrjTXWWGON/e5Ys1drrLHGGmvst2tfdwTiX/2rfzUdHx+nT3ziE6nT6aT5fJ5+7Md+LH3/939/Simld95ZoZVu3rwZfnfz5s3Lv73bfvzHfzz99b/+15/+w3L1nxGKtA9NhMhq5yC7httEE2ZSTaF4dK8adll5hqeIahiRmBdkz0UALSckvG6BjMKDL1pQOXfPzz6eXcnzk+xhlzYoemjMNcs1+kyvcf9aDu8rvDE5JpqAaIgQ6yASo2AN4YFl4FzWIxalg88JMwhd7xBJX54anVudn9AGpASnc+nOUMeBYwcKvNR00IjWzWLbsAhhBlGH+/VILSNM8zV9dFGgw08V2yB6Zr0sgY2bSDhQwUE4LIi2za4UEJZSmB/nMiwoQ5/vUYmVSFU+BVb0+lmGTL20/fDyeAxvaCZWnCZzRJhxq1vPGfpn9zKE6oW9zHva7uVv8OA8R9JuISIyAaV4sUbjnYG2EAnYatXXr9AHKfNtInai/kQpikDs7Na3GdG1InRH93OIuUt7mx6u6r4NcjkR6Ra9uT0EzWoZRSZKsWsX2sn1+tDbYo0iXoS8Ch8u+52Y01L6GvNaZxWRLVE9jdZWEc/Jfj4X6GBEIUUFRnEVviltw6FNBNsAKu/Ji/n8/m/m84efqEfnWM4KhiBSLSDroHOKcBBdFFB/g/pnasv6bltLQ04pRp3nIi6YPyp0S0BM0h3C+QLCUySV14chT2QHbUNEVhSn4FGFlZ7zUVWe/jHro+HT75lSpDYHRA3o9RKKxYoX7RNQrqI2oQuVkI++dyW40zY1yPMq5tCBpIxtcs1WbmQ9GSCkfNhCgCvMGTA8XAuNLlijSPOTQYMNXllVyPSj+eWcp73HcJDL2EPsS7T7yG+GTQPCMp9vWS7HelgMki56h/lZpiKokErnoDxKCGHHn96JYwHrjcl7zyWiUkrjnn0xiO1J06xBoFQIkvkHoHp9M9o3dK+2tpBJRoQOiO7OiDUyQgRhicj4d/x8/tjS66Xkip4++M3cVy6ud5+6xrYj+qcFWvnsFkgguskIKm1JLKF3hqjF9Xra59ZXZ1wDq4UxcilKm+PLNCQ8c4wARCk1gOZ4vSiwD/x+Ui5PrrA/cz0B6tp9ZPfAm2arUhwtjvP7TxFckVLb8lh0Gikcem8zRoNM7B5JmS2g5tm/x5QLsCtMEySyfv3bzY3899ONwjzJfi5QU/lmAUEvM80UNTIBJBkyt7dJb+baf6Of+8fmZn7ZczYRyzWcVN+EZdcCfbfAjpHR4XhdQtEFwTzTIji+syY4v/n0AujiACaYwqywGUS5ltIZaEFwSOaEqErXr5IpQQw77i1vdGqvr763ayjbQCmNT0DtyxY7Wd989P7nta+7A/F//V//1/RzP/dz6ed//ufTpz71qfTrv/7r6Yd/+IfTnTt30g/8wA/8tu751/7aX0t/+S//5cv/Pz4+Ts8+++yq47UijFYobvdartkqF1dKKc27hVlsq36j3OutOtTFGWqkLE5VZ52xYJuTP6C7Y54HGii0xQ7503q3cmsdkztCB5MqwVKxw+LU/IzrPBwdyqsirNTnKD/G6YCzz88f4Ig8Py7sxrin30Nr2SJ1RFBn02s4idcdwBxzU+7dgqpjLrmlE45OESD01ukSleeQBwmac1snNffUEdjie7QfrXMckZtRZ+rGb+Vnjj9JvskC5N5BzXwjScq3ytb8tvOA/rHFoom8n/LwN4b5fOXYUz35BlyhV05zQqIzRrWDdp41TpkV7wzzbPlvTu5eHj+7kc/fG+cZ5KX9LNV3OMltb0hej2d3Di+Pf+3VZy+Pr+wzc63Nyd82sJBSj6L4FKpcC6ehlIUxDjkn3UWrftKd4pzvm8+Sb9A9QDFcJfh1myzcOs2XOkXzeTe+U9pPP6QPoM9bLu4vDa9SqZun3wY+/pvEfifmtJS+xry2NjdJMxeHNX5mN+HSWF38dwrOqKCCqgUKRr2TKu3nw6OPWkYCTcP61VZ/3Z0vyM8Scj3qNKT5BCoxDiXzTIW8ugW6ieOlwZHhA+YaNljSqIOza/3TosKydd2rv8Y67UJl8bc7r+Zjc/BYFnPLBccsbcJ2tZg9XcfHL+S/W79+AzfzPidQYHHolhbc+1/Kf3j0rfl8UGulHehUNg9kWDiv29uQwIvrwnGHvMgUzDlzUHAabuCo2x5AUyvIr5pv1qCM86fmumH+LaskZ1us1wz+TFhfjjnWaTkv5DdclAK7bChCoP0W5TXoziZ0ektuKE7U9UZ8Rq6vDkrRi4169U5V6Ddfz9fbNoJS/YljTr6m/T42bKYwsF/q2Bqv87xV19a7PT489g3dq62tpN4u3VhacaAEujcopFTW+Ti6Wt/2z26TuoeNeuWkcTx147/3FZwpN/S0UyznacdZVWN79c4E59vTW7mMPXIdes/hY52b+fx06+mxyNx3I4KRu6/nexy9gPPKnLWO3Tq7KLuKuuZiNy/ekr1V2yA645UKwBvr8XtBfleBFB0cfwYA5gaC3DcyhplyZ8l+MoJ4dHjmW0qLXvBOfSrKfIfz9b6zt8M4bsooqd2HpMcKwbj64Iv9w3Zrf9ou5NM0fdrBkP0lD7iYoH8A1brajx+/k/dh5tvtolMQVa7zsc7+eSE/d5zXOc99zCM4n9Vfbz+v+pDjjBTjqDTOM3XcUr/2ydCfMR2RqioHh6D5ee3Ctg8Dx+tn2R4CeIAcrCFVw9Dnc1w9v16Wo9a+7g7E//K//C/TX/2rf/UyP8a3fuu3pldffTX9+I//ePqBH/iBdOvWardw7969dPv27cvf3bt3L33605+uvedgMEiDwaD2b4011lhjjTX2O2W/E3NaSs281lhjjTXW2O+ONXu1xhprrLHGfrv2dXcgnp+fp3Y7RkA6nU5aLFZu1BdffDHdunUr/dIv/dLlJHR8fJx+5Vd+Jf2lv/SXPtCzFof9lMb9tAR2LNJPk4Zn0ur5/ewaHtzJ4cYJEZL+2vMscrAHZVgUzwTKcJtrhiDkjBwviPL2VVUW7bUtzZCXAjI9PhQSkQ+DwEyr89S9rZclYiLhZ9Tp3EiTCe+550DEEijJ9CDfP6gDnhA9v15PUw2UXFGVa8TeXHVjEYIgANoqGYMWVKXYBLwhaSzIvQVCKEa4RKjNhe6LyKKcizW6T3aQaMjJp6AuJUzWWd8PlQ8Hb+UyTq6S9HyrHu0YksYjxhLUqn0Upzc6T6PLxoSOvn3/zcvjY6Sm9giLejwFMvTSZqY8S4tWgOU3pxnCpPLyDESd4io7O/lZu4MMG3rz8X5KKdLBtnZNVC+yo4A4oeP0CsiRVFBBnYgaleIFCtK2ukHZbP/V2BQSWMvMoI6MMNrHvPfFg1zggEAGgeg4MxO5u66nxeTrPtV8w+wbOaeltEIcdCYxsrhBKinpzFXEU+SXyBqjs9IrRMt1RBhI/VMBj2NpTyLbREFuvEkU+1Y9krCipipaYES2L/pnPx+HROMghyJtp74+AmW2gDpyOJMtWaLbztdIuwH3G10DGYUSpBSeEN02Ai+qgMj16TP8VpoWZbfNBAHngLbMxyIYqrr3mVqH6PaSdYCI1xltoP0+QMeHL9dTR0WdhAj7md+V8Y17Vu1pE5TfBYiQ/kZ9aokZaJIw5jpnM+47Bzi+zhhfS6krXOvNWDv1mTMuDldz5ZQ5WxpcWCuwjp1s5s7a26yf7xX46u/U33PQqy/jOUJoIiU6IO7nwMWqdqVSdGBCihYGtSri9/wZ+hNCSKU0BCJBSurzAWl4UX99oG+ui7/xYFWWD7uIyjdyXuuMV/PMorAMCPQ9aYhs50Tx3PzVPHA9+Pb8kaYgBn2WY61iBa5pK1S3iCKf/+RjuQABVaXaKuOp81GgXFLlpqgIKHTQQ85HW2/l/zl+IVeUIhHdNepPlLrzt3P8yTP1YjAhdYc0zoBIr0fKBxQ6qLU2qadE7o1IP9V+h7Rcn5DqsH4M91AZeXDPj824bCowLllcyR+2/3p+5kyU3R7MRtrnkj1im7HTcV9B1O2d1cLhfGTeGA5dL5tOZlG/LlJpV+Sc6DNtgphPaHvMNYfjPHi6VxJZ71w2Xqd+Mk2SexPbQED0uf5jLSSir3fKvAb1vkSfL4nqBbTzjHl4LTLmHGGKg+23SB8AzVlEswrooifnhdhJWFMicuZYw5Y2IHotp2kZFtU4Rl/doeyHL+LX4JqNe65TWc+s126LEl2kxr7uu7o//af/dPqxH/ux9Nxzz6VPfepT6V/8i3+R/qf/6X9Kf/7P//mUUkqtViv98A//cPobf+NvpJdffjm9+OKL6XOf+1y6c+dO+jN/5s98sIdtz1PamAdKbsjjBd1OhdENnHmzu/WbfOG9l4tD4c12Jpxk/Z08I+hM2OznHmIunACxZqG6Re6BAe83ggazgKvfgUq7DPnvWCA/XrX0DnTjBZ4g2Eypc8vciCxwWZBO7uWZZUoD7UDv7OI8m13L76SC7Kzz3g1WOs1cGtr6/BI6dSuoRTEIQ3fp9vSG4RyckqfI3IFuKKDtOKgudET6TjoQn/bnhu8VKFXm3cBR2HESPWAzRHnHN6VJ1G/SShTXhKLZUmqsuSWxKn/htE1OCUasM3Drd8GtOzl5/ZBV/itnmf6s01AbMjrvA1U/nuDMp16vbWXPhH2+mvRbbDxPH+XZ6crNPGucsejpshm0D09NYcA1jgsXp5SRNulGLtDRaVcuvLy+2qhWC5eUUjp5kt9jSFnMgXhGigYXQD1SK7hRNhDhO5lyod39cG+yUvoGz2lptXhYDFPauJ/PXVzPxy62KgqfNE8dXeaPC4p2jEMqOLvRmJmDsLBZiJENnltQG956Kx+fPF/d298xr5JPKuQrU2lYoUI2df3CO5m7L2z2JvXXuPgNFBr3K+siBxqXVNBJ/SJ4tsUmkbwzYfMmDZh5gr1KzI0o2+us/p4lOnj1TkHBVgt55XK5rvxGPn/4sfzMIe1XKnhpke/36BZUjVXyNadeUHRdB8x2+vmG+1C0vvyVjKbavZF3xAZ8LtjsbW7Uqx3rVDs9rU/bMsTh51rv7DCvnUwRMSEFTrWOMjB50ZJ+nW9tGhTnAgM7rYf5YxuonT5hDmLt5FqkFMA0b/jCqDNByI11urwTNk46E1vQHAePcT4w7c0YF6SjBeqiau/H9U57+7njQqAFmrML50ml4F6NDx/2HIjfyHlt4+EidXuLdNojTQrjZQhkuFyV4seY++Rl1ip8o01SM/rdQ8AM51zIn7YeT2KQh71UoFnn4xJFPii4Ou6j/t07yWW5uEa7Js9w/yT3lScfI9UQzorDl3Nn2V3nTxxdxYmvo72YBzQfbxzm49FVrjGtCQ4r+2qgME/qnWOJPPJhrQud2PyttWbu8bAmYdwKuU357uznJs/W5zVZEnBpsbfqkus1kZvVPN8q27fWOXlHb+QG3z+uV8ut0iSkFNd00th16Jqvz/aw+9Vc3nNy6IX8rtT78SjPX6Nu/piP38gTt/uAyxRHhbre/0I+f/os74ED2vKWAjv2p9JOwnHh9i/nef6d78oVFVIkLJ5+Zu+U+UhnI9RfHXVbb+Oo+4h5VPM1gyN8A6xV7E8GrvqMBY4Rlt25r8Li+HfV2520dZ6Pbhh9rhnfPkC2qa+7A/Fv/a2/lT73uc+l//w//8/T/fv30507d9Jf/It/Mf3oj/7o5TV/5a/8lXR2dpZ+8Ad/MB0eHqY/9sf+WPrFX/zFNBwWcuc11lhjjTXW2O+CNXNaY4011lhjv5esmdcaa6yxxhr77VpruVyWHLvftHZ8fJz29vbS83/nc6m9OQzCItIujOaK8pIGYpTj/PUMm1giqNJZo+6MBO/u5/CLCbqNShvR3kTZ6NFxDl91AvUPWgkooSG/PTyGTsg7KZwiVWbvSkZbHR+ufhvQcdKGQFJ2FEgwufgetMlZPYStVQjMtgtqg+OHRAp2693fIZJO1KOifS75NoO9MX8n3EaEpAv9W/q1isidoQhEokugzFK3/p3Cu97Li63FFTNHr9+jJFhD9G54kEMV47P6dwpIBq6RhtwFqTp/wn1QnUwgd4WldhAlEiH7x+7+VkoppWeHWczkejeHzP71WebelYRWjgjdHMCTmBI6OSL0pjrzbx5nlcBrg9ze3zjL0bN9qMqaKMXLZ5LNVrrvZF4fEX30II8bGzui9XLdjS+IEO/lsWMEhViU5Mh2i21sIbTE+DLmPhUK0jHkoiBsdHAdVCWom6A6/pUcOe2+nK83zUNbRPGFnLE1LP5ilF7/i389HR0dpd1dYHGNXdrlvPbjP5baw2HIbbDxdn0oNqjhrs2IpEOLSAnRb4NH9XRfKcleI6oxIPFENRIxF+lj1LkSUVH4Y7IP5QnU4/A+zwfdqMiBCEFVIc/uUEaTUHMsNcsIvxHzs7sgBkEHVMNFnaJxSpGKWYqu730lH0t3O0M9uHfEPFWgoysqIapRFcfdV/OLP/oDoNnX720ybxF/gSqERVXKfBzQOOqzKWrDb6d79dR0kTy+6+b9fP2TT9I+1gnqv+XlNy7PLQjHf+HNPF9sb7OeUT2Zsdg12rALkpyUFiejeu6S68Eu9xmE++Rn3XuQO1eFSHe9KmL+7EjObj4csLYpYeSkd3tPxVgmCgG4VkCFOYj0icA5BSm57scBLcj6WoaESs6boJWPP6ZgBKgJ2nidYnJK72qHi/pjx5Eg4MM9K4RGhVyZj0fp83/7v27mtK9h1Zz2rf+X/z51+sNQ52SzCah5EYX2fVNniM53DmQJGpB2QdRKchCUwPlacX5sio6Ais7HIhAlxvhOeygpP/44bBTeNaAamQcHh6S2Apl0+kz9OsD5oLp/qMeAfM/HJUSY64YgxAbqEK3DdPIc17t0NUUE4oxBzJH96JLx8lIF/jHr0uIcW78Xte8rsjR+ng/Lni/Q8ERSSi1mXdK7Xc8blp1T7ZWOH+YP3EZZOqSGsm1SXlki0t4Hh/nHk22eeS/X7whVbFXC03cfXh728ZucnOVGbAoyU3+M12mNlqz7ZbRtf57USLQfUas6nlyzaq7RJvQP+3NprN97Jf/h/AZ76cdP79lLKL+zG3wD01zwfPutSFzHC8vlOlWmjGsb7xkQznVgUptsAV3s705egkGJj2Hr9dWN5uNR+o3/x/ub10okxsYaa6yxxhprrLHGGmusscYaa6yxxhprrLGvP4X5d8NEpBlNNSH1nGiCEusm/DdxdxcE3iWCC0+vCVO7HaKwRLFnRn3m+X9Eh23uZTf1BlHhMbkOJxwP/nUOj46/NbvzzVlm5MSod4XUnJ7l9w8oRnIXirZUDGZMzjaTZg8QnjCvW497aiFlhag4k3tv5voQzWVUZLhG3Y1AMZrbIQjm4G2fPRGuQjSMiIqoQ63Ne4vaFMvbJVozvQEqDXRfq2o3JuU1rw45I0VJivaagxiwDRz8k9zGHv071q8JpUhUTz9ogby0LflteiQw3lznIOwR5jS/4cdJTCOKcKedQyQHgxwKPVl4Te4fr6EecY3Q6d3N/C0fjHLo5tow949Xj3OY+upmhhvc2Mj3eThahWY3SCIccyTmfmO/GoL89LzoZpNDL3fzO4Uk+yBbzT1p/7MfiFwxgljlRpyY34I8nAvQIacXuVyOoyZYPr8FYvsx/cx+Y7C2Jldma/p01K+xemstVv8tGSUVETGKW6FhSig/c0KJ1BCxEBI/h1xg9fl1Qt4kE0grtELgshdQgiAS1jnRhlknKSSzNkQt+kQ0heeNVltfC1ELphNFjEHU4e5XQXzcZS4VFSf6o0IgUnSFU4JYA9/OZ4p6GV3j+lPGfaLkIgN9V7+ZFvKHfQzUIdNghQZsFaLrYdI2l67rHIRNhg+pX54j8iBE7KlfI/N+Y9GnF65dQGUs1qJsXRCCrx/v53szf4sKMW9f72pu5FMQ1TswT04O81rs+vVc4FPQiOapPbia55qQv5DGpGBetcZs8x6J9aV5kVtcE4TrqOw+88g85F2uL0vfNd0m85FzCWskc5ktWUMs0zq3sDnEZcGITCTnp0iQUntbkPdwQN4424nXhP5hPrBCDq6F16yPK4RigZDQWI3Neyml/ruQyNSfqGvnl1RAj7bn9BnmD+8/3a4fH2aF+a4SpAg56fYL4zjoohZlWXZAL91irW87KuSYFaU02aUt8x4+t42IT7jmfPnUPdiiRsQWz3f+DnlyReQzLj/5pC9lufKx845ip8n9qutF8qEu1+vnEqNN5PJ8E+aCwimUa3zTSqC8iGsuBibzX9ZerwVBUved7tHWY7b7Q5/TOWNMh60gMtH13YLz5zdhRZL38PQuPgNy8Sn+MXXe6eUPvrGfjx8ck7dRxtN6fHfMdwG08cjciJQXRF9AdxfyiNp+RPq6Hp0WRFQurpKH9xGiPVdW5w/+be5MJy/kBYr5B7UgxCTTQkaFBErK4nzUQwSnlL86fCcQw9ZNXVJI11NBSEwxMOZb29vFjfW19WS9WvtQOxAXs05K006a01lt5GcKFEjxPUV8wMrcchXBYna98BrxO+kjAYKNI0bn4BYiKsfQHKUqKnowfju3minJSxfPQX0xiawqyK/le472gRK/vqYws6FqX8W5NS8sBlWDAr49gG58LkVSx4XOXe4jtUfxkcGVemVZRSjaHQft1XdtbyOMwzeQSjwHY616lm1DwZg5ass6OZch47aTBg406fPz+gGpoih3dplx34HuzD2Eh/s9pGuPj3J7f/yd8nn43r6rg7/fWGeiYjM6Ohm9uuuRVeXlg072GkhPfqaXOSY6CqWYXe3kjda/OH/+8vgjZOW/R1b+8Ty3nxHHB9CZP7KfV5nns9w/ZmDR+2sPxIRzbz/cvzx+9nouuzTnUSe/t7Ti8/P8PeYHOOEJCASKABvb/pW8UT0/Rv2Paw6Pcr3uQ4uuKGymc5AqPafNTggmSL+Wztdh45l0OLRrZrD0ro3nepw0NUBjX9ta89V/IZjgvrf79HGkV+GkG0pPzuelx5BJICg8h8TrJqRXOZLFhosX6c8JZ1pQaOw9/bsgOMItpFxLZx7jkGwjrqKDTQeUFqhWPOv4BeqsoEistWp84yX10OCQwyY4d/2WwfHGHGAi7kDJM9m6i2xp37KupIGtv2tIBA5N7QwlXJWXg3Had3XzLW3OxfHzfy+P16/9qfyHeYECZVsNYjfbTwcwnt09vDx+dZkre+tWbsyHv5ErdeNu/oAfuwlfElvs53u+9uRK7TU6BB8/yhViYNNUE467VSoa1ZM7zMdShlkSBeE6x2hFvYrzFM/qQ4W2My6O6+nMy0X9fFBthJdhTVl766DIfHGba1ybTuvXX1FcIB93T+vHBduPAY+QuJ+xqdJ/qzZajb1/652tlEgdix2rAq32PH/TMU6wIC6FknJQZ5WNWlDl3nkDaiMOmMrxVnL2SXceHOGQ2M/32HulXlwhBGp0nJjRSCEZ3sPxz3faJE2H42KlRO07O857rXXn80NKBOdSg5COs6a8ce7fQHxEMAdpsbqsaWeKYe6tKmd58nQ6hJRSWiL22D5kfcv51lRvFE7WtxDhYW0elKJxSurkXM4AjTgusbdy7X0ZaDJog/PTAIffvaKUpvQuCizDb0gbc4pg6YD3uFp/H63XfnrOTOldewiAV611kE4K9xhQjoHXEt24fy8fuw7YfJDr4/x6vcNx7yukhPsU+y+D1fSb01tPq42fPZPL257i8GRsOfgCPo4bpGwy6EVzP/hN0hZ8kpRwrOkcf1RB77CuN6DseommlzrrR+mwL6XrMFVMCH7jC6r2EosPkNWwoTA31lhjjTXWWGONNdZYY4011lhjjTXWWGNF+1AjENOiFROdpkg5FMG1QTS1LWJQGoz0Q9BvFQ0lwHV57CZRZunMfanN/ECUpIiegPoRGahDeFgfKehBmZ29nK+ZQqHZ+MgKaiISULpxQnq+LeoR2mtXsQ3NZOEKlPh9RLQ8gjppJAn3uG86gUZkRGp2rYJS52uFj0v9NepvZD7Qg2kDSxCpc6jHXdCOCsmITFyA1lMMQTpqoPFUv7tGAvQj3vlqLntvUP8NOidExqA/94iehfeTngvyYEE7sITdPcom0n59H2nL17sZ1vSVUQ7ZDwi5PtvLoc1/cf7C5fEf3Pzq5fFHhzlMdQhufAy2/aCfw04zyvDM8PDy+G1COseT3OluDnMY/IuPV5mgP3aQ0YrXr+S/9+jPj85yyMw+L7pQuvjGfg5BDUCcjEE1j0a5XDtXCaXxFbY28ncNYxToktGaZjy8lb+B33cHCvXROL+HqBTTJpjOwD60SVlM3WAi/su2X0ArNlZj63mtRHWqo96FCOOwHrXhsWiDyX4+DgivwnmjnCLbtt7Mxycv5GMRbUZTq/cI9GTfTQAUUXcRfQqtGH1WOKU9q4/AB+0qk1MXEFH+QORG9VxpIqLvRGMOH+R7SNsL1E1Rh5Trzv83P/TtPwxSg7LsvJ4/8tFHmJtEBhLtX/DctEalilQNyC/qsX+Y6k3alUjZTv09RbA++EOgDof19R7oTZY98HDXFD5Q4mfT3IAUP1EUZefjGW55Bipv82qes/od0DLc/8ZOnidGszxv33+coW2yRK7vZz6W675HR/KVVv/sg0ZXfEWq9PkXcycafCzf2zXt/lYe952zrm7ljnOCqJjrg8ePYdyw/nENU1pbzC+eRp93zqDRI6iy9QprO9nlN1hLh0Tx9RiIiOphvWvqhmF9m1TswfZ2uB5Xu2vaV/1KvLE66x8vUre3SGPQeiLP+8d8L/qyghEL6cki4kHxKW7gXOJ8d3GtXohk2W49dQ9NAYrxng/Kh/NhffoAUWOihR22hgineP3ooB7NJdUyzPPrenI+1ETbSgvdfhP0L8gv0e6LgscgjO+kggjpqeh8/R3XjlYC++f1nnbiN1rU9/c+6QtGvfoP2H9S3/a0QH/usZ/rUtegrhcnfKg+MDOfu94PT87zwkUkpanTtAVIuECN9XKq7uRZqRz5cAiiz7a0KIh3Pjzdrr1mci8v5DrrejLlRauGXfJuc00X4GuuKaHjS782ncDxi/XzhGuwvd96mrZs2UTzShl2XSa6MYi58T3seyfPkl4N5G7vLF90/EJ9G1YkRqElkc8hLcG6LvunMENMv7BXQJ4qdsY8Wc2Zi2V9e6yzD7UDsdWbp1ZvHhxGp49yI5fe6aJx0WZBcQKMdTdfb8forZ0+bsJ14oQNBx3u5CLfezStpzmaiyZQfM/qHVZhJ+AMiXWgsASnwHpj3wOWrENgaV63YX7mGZSVHs7B0UU+P0Sd2UWrOSJG0L7bV/J9hqgMnt/HMbOPE3Va45Tg/kLfpTubv8icjUF5WaVhIL2BQmynK1CSpQcvCucD5P3tdX3coe6E+fdw5JEzRL+C9O904EqK50g/8r09NicJCmmdJ8wEOFRHfI+L9WrnLny3Edyfj23kRGyPGe07lOuTG1ly8YxZQKr0vzjOUm8vbOTReY+J+42LzLHoMLLvI6E1HnQ5nzdnn76B7OPa7u7kFZZlSSzCDi+gGNM/t+gT9kNtH0fh6Vl+75N7uZ4O7uYymLOwRz93Ibp7Qy/NyqSPmKexT65XnYZDaMiOMsGRv6xfjIyPKeM6P+RiUfKGNfZua81WdI2gGBw6fT6sNhQqI0uflQ67gLYc7u30ooOGxYXz1N6X8/nDj7FwJ3dfoOjoHNN5VA3vYaNVT5MdPPZ++freYT7WURly65nTRXYVFLDzLMz7rlxQ9Yv44GRbv2ugX5tBwhyB0uqkHpOPMagdc82bf7xeSrRF5z+9W7851opKj+uhcFS4NrCcXIYEx3S9k3F0rf79Au3dTUfBWRucR7QPy9kareppQpK6Cdwf06ec8rEN+O5u547z1aM8p9zYymOrQWEDn97fddz+zbxL0Wm42csdtneQy/D4dFVRBqV2B/nrDAjmdj5Zn3t3o+McYX82aVk+7LXrNw+uxdohBQYKqQbjXYOu80lODwe119qWzj7J4DVi/WXfMi/zBnkgzSEc0jwwppz5W9b4x/X3X0DBvAySmaessfdli0Erzfutd9GQ87G5b81/qgLxZIdvZ04v86cxhhissj0EZ16NgvzwMX25kJPX9wjOTFWbVZiXKsw8onNAB6WBlSH55M5v1jsNdexVY6p1ZCoK1ZOdj3ROOHU4/poft00QIOgHnLrHYHzYJ3DOGlFgTudR/oCT9TpVwMiS3IGuMaa73IM5yPWMDp3zW7zHab0z2Gdp+ld818lGftcJFO29g/Ua/3Fe00+uk67oAXPTpm0vP8c+4ZypA1gHmx/QdhWUyZljzwgcXXwhB6O6H6ETsS+cd1d1Nnf879cvOFRG14EY0sMUlJQnOsFse4U1a/gtqtQh69i6Xy569eOJ6+dWIWgRsnUESnB9GQ1avJ/v2jG9w2b9OqcynZOmUwjK1jYNfBydc5z9s3UKh0JQrs4aCnNjjTXWWGONNdZYY4011lhjjTXWWGONNVa0DzUCsTuYxQT/KSoJK8KxBHU3HgFLPc1VYA7ZPiIbFU01IG6MthJBEcVj0moFWBQrkEpruTYQE5koMsJvZ9x/WkMTSSml7q4R1FWZz0BpdjbfGxmkQIm0SU0EksrAQdWPshu5bom4wFM+U2ACpNRMhOMaOdcFHTfm3qGM0o2lLT/G9f8M9UGErS19t+B2V6W4W6AZLx/ksMt8TVcOuBLRjf33hhK3RJD6W2kVCroYteS8/WZZSFjeKiBeKxTHgvCPSEPVmZ/p5zDgm9OM7Bi2plyfy/L/Pvz45fG37GSO5FfOMy36OUJcfaBaXzrL1+yBQOwCpTkmBHs42Vj/HSQp7fp0Vt+uHh/n0NTtqzmkdP8wY+HPSRUghXizn9/7EAXpjWsorItoof+pfC7qZLi+5/mFdLRcXu+niMuANAhS+EQsHxzkiOSjh/n99q7U82UG634wn9cjMBt72pbdp6lCASlB5LZCZIVE8nxro6Yh+sz4EFBg0Pr6oOKm2/n8yfNQzEBKhPubJsTxsgZA3w2Jr3mmifW5xrIbzfVY5GVJWMRE1SWxkM03Qc5JlalR3guIF8rYRfk1KFoWRAQCXQkLaoOY47J0banhokBDou15TYS/ML+J9PF7nDyfj00WXolOvPuZogi9Z1AqLHwzTVq936ZiKCiu1Yf6ezZm7UHdyRi5upNfcH+QX0rU4RuH+5fHQ1QsD0/rWTCOqRemNdkBEcDcU5XhdJx/9+bj/Mz97VwBVzbycbswT7/6IKuGXNvL7/fGW5mjuIXw36Kg1DxjnaPQyuQhjfsQMbgXVO1Z30/BwploSOpFSpw0v4mNiWtAwAS1X8o+2ecabjnbFslYjzCsqrUa5xbvvTxrbG3TrVZa9FthvpiEPlv/O1HJjn+OtZ0xDBtQRaLrgkCJKCXFpdZlK4pUKD4CBEkqsfRg04pozh3Od5bRua9FA3bcVYVZUZnq/cL8QtcUmRSUsCl7SD9Bfe1/IT/z+CXmaj6gishLFH3bsJmWB7kQS9hj86vCttbn6fthD6LYo2rw9dkv0tmz1NdGfedtM7aJTBSpP3qGd1LUxfcjhdRsjYRXCC6Bih7fIK2V73GYn3/13zK/fAQBmov6ly3NmUFsjPOHZ7mBzPalTLhntq2ujoev5wedvURqC8dWyrINmvYMqnJJdVjE4pXfqhcosZ2XhIi06fpVHYvqhPDefY8gjCeTpPDbQD3eebp/pvSufknZFXUZgQwOAkiL6h6gDuk+IRUO5RJV7/qvEm20Db6XNQjExhprrLHGGmusscYaa6yxxhprrLHGGmusaB9qBOJy0UqLRSt4QUNOOCKVC/LsmQ9s8FwWGjh5J4fElounvbDmsjMPjDn/RPf0yMXXei2HuiYgy3Z2csT3DLGCOTkJFEgRMWTuCFGNExCAQSRl/UptRDXM5WheiklPFGG+xfwx+en2QWmCjBKJ1yKiPgBF2KEM5knsErGfkW/NpN8zEnFUibv7ClMYOS+IN8yJei2vI0xB/ZrzoV0QZmnTloLYBNeLFDUylaYVsjWfCs+ZkavOiL05wyjLktye87NcdwvqwPpoHfOu13wPwi43CLtQN8PdHAoZrcPE50BLbvYyEu/fnt+9PDYf4hjo0z87feHy+I/uffny+MXNLGgiwvETW29fHn8ZNOIOiWcUWjmZ5nDMG2cZmqPwy05v9du3TnIo9mAzv+fjc5AloPJEEZtrS7SV/cz8U4tCTtOAfCRPqyhBkc/nR7nu54N1fpLjXL+iiE9OSOYs4oO+OmIsGB7UQ6K2dnMI72KUn799NdfZeN1mFuMmB+L7tdZ8lW9u434+Jyou2LqdlPLzKSAg0tDIqsetQm6yzqQ+gmqpRC8a6W6TM6xdE8Vth7JQdso7YWwb5iEhXdyqRyxZMNF9IUcNZRH91j8ExcJvY7T4aaSf5VJERUSEyEjvNyBP0MV1nmMeG+4jOtTv4W/Dx1nWfwOj95d1UBDeMaI9yuDxYHPe6SIPy6F92jZEvYT2VkAStArfVSRjhe6YkQMxCKeAFlSIRKbH2SCPZ7e2ciV1qZBbu3nt6HhtjlmfK5Lw2d3D/FxUG+6dglpfj6k39vLzzdM4Yx4xh5U5Fbc4PmDO3hvmhti/Sy7FVn15RV5ejOvz4C57II+eZ21Y5Q43f1lhHbIgT9pCASPGpSXr5+4T0Eubwl7qURS2vY03c/2dvMg3KyTINw9jYx/MZsOUloOyiIL9VyR5QDG7tPJTkyMszIMimQr5hEVqVXODueREHfZPWJuDdCzdryTiEkSv3kQU6TZ53Ll++Ji9BAJpXZCXoiArSlN3lP8+RQRk42G+n7nZ6O5p5/X824ffns8//EPMz/TDJfuWluPAtB4t7F5w5H5NYcn1PT23OBYemg+n11gXnxbcGuGDkP/0EUy+3UXt5ZMrjFfT+gXQ0rU09XF2uJ4UzamIb6IFIiwxpsvMePzJelUSBX/C+o4ihjyiu/VjmAJb92HJBW0y3rsap0e4kPy7/cA1xukd+g2vzRYu5HW0bx0/zz6ach18Ec2D7VwhF+Rd7iPGMt1ar5lBMQ+ecI9NdBNA+YoofPIyPgARvbZJEJbbbyFuN8RPYM5U1obmfgw5pl2zrsdJEdML1vtb7+QKfvIxfDL0N3P/VvuGZY24a8k+1A7E2bib2u1u6kJjVuV2gaPpAlrrcBNFZhZ4nV0cdQ9RRL178tS1F9BgpA8qljBiobXxicPad5Bu0rmHE+BmvZJxoJfSWFV21aEx7z3trAjKwdxb2vYQaqVO0bNBvWNRR2EfVb0pi/J+cLrk68fU0+I+zpK7eQTV6RLU/tbngxMSp974Sb5fRyeck5/UX2X6rEdVmxHTcbLsQQP2u+ogdOE8WIv2LApCOk6cfrM5zw9ObY7nAcfPoZBlnJkqpLUU52jXT97tG/n885ur3e85I9mUXd81+Cb/LyjJn955/fL4Y1v1asubjM7es8NL3WHG+Yf3PpbLtZN5ifehB+s0fH47X1NRm92k+R3fnrnbzWZ7vP9KponpYN9gzLE9KEYzgA5mv3GT1io4GYMje/2NTXyvQ3sD6rNjlErK3s/xzYT+jh0myG9fzTNhFUxYFFIfNPa0DR+l1BlEUZJOoMEyZ6ybTKABqy7HYkyH1XSnfpEgpaGkqBvp1JSFMgYqtAzGOuq0G0nHyoJDcJy7WLifDleVpfWJ6owKmz2TePuuCis6382ePj/S8cfvwibVxV5N4vuUIrUmOvve2xnst1ckRmeeCfp1nFYUUGlZLk79OEH9moV4SDReoAKq7m2dhgAKG16pqSEoQ30Emvz6g08Zz0YEdhYFgbE+a0fngMej3HF2+wQbcVDuIW5iCowxz5VmPETNebuX79lnV/XlyWoA0BG6w3Ocmy5Qfn50lj/C3kG+Xhq35Tqb5A+1j2NxfyMf+66KiU3ZwY5Z/yiiUh1LfQ5rx7Hrn3xeEYPeY4QGbiDw1StsdkJ74DRjysVN2vO8/polqYGq9ACVY/ODbLR+v9vgaJk6/WVQgQ1pJlASvbjqXEdfLWRBkU7oONDL/v13CYvVB9iqee2CeVcVWMekEU5Gx3fH6837ueGdPMfaivc4vYXziqDT4An1gZNPB6m0ZcfXyuky1llEvZzfyP8zOPQ5rOeKTlkVVbg9gBDTQ7k/2nopL0ZOHuc1fiuITOJcWa9BFcgcPKI/Uq7Rc4qr5POKJukELImAJcq7KKxLtLAWYi6dI6JSpY3qHQGyIdixQJY7qNOzXuuztlkGp2E9Bd4+4XcNzi4dpIzvOoYDZZx0Z8u1A1SHWfvCCsuHrjGCI70g8qEiuw6xEi3bPhyF2PKh40jVbmLglUBUeE79GrTE3e0z5vRPWQcgbtIvjEuhvHw/xwvTPlwKKG7Rb/n7xc1O7XlFe9w3XLalQgqPOmsozI011lhjjTXWWGONNdZYY4011lhjjTXWWNE+1AjEdmeR2t1FQOiIPguaEkaFodtNQQ9tbeVo7WyYXcMVRdmIryIgE2SvN65D34MGuHFDRGG937b3Ug7l60gfHWV3dH+XCPhFfVR9hBiLQgtVMt4u0SKj29KEtSHoxnSQ3+8camV/sx51qI0miNdQl1Kee7dyWFKa6PSfZs7U9A9wzXD1foq7SKfuQ4kWJdUDnWV5W1A9RRp2iDa3QTLOTkTdXR6mFglzpROLkK0QmUcPcnjAaJy05Qmw8mQS1E59PQ7269vJEiRjhza+FI1TCits5bKL6Kiowh2+6Rcvbl0e3yDk8qntty6Pn8AxUWhFwuwXz25eHotSfMxvTwkZXd/IIZUNwjub3XzXbWhdI0JWs3W237dPM9JQqpfjzDmoDZF4m7dzH7ZviZD1+IJEzfHbENF9ADIZCrOCKukBCMCbq3FsY0hbpuydgkiM79ExEsv5McnxuyCW+yBdFIwabK+umYev2tjXsvM7y9QeLlP3nG/DXNaFElx1m0Dvgr5n9NeIq2hBBTYCqkCwAcebOXtAOn0WanHWR0rnd/KxAixGWav3kOKiCIiISZF1ouKkYBhlLQnDdKg76yyJKAy0pHzse4uCrJCE1pEISJE2CxBToj2l7WnjK/XXB7o0wGhRN+e3OF8QbAm2fpSIv0iVdkHFIe8twiCk2hAlxJxlWw6UZJFoDHNt0GoRjcNv1xH0QK+lLMeP8oPCOMszt5g/jwoIxB2ORwi2vHWUU2ScneVx+cp+npsmXL8LqlAkSMVmOTrPlbfFMxWJuYLQi3NgSVBlAxr3k4v8fifj/KxZYZ16zvrZ9D2iCieseSqGkOwHx7PlDveAfrhknTPfEC4Dg8b7iD4DnSoiyT7vb7deg8qZl5oxncElxSuFfxt7b5tst1Kn3wroZyl2F9fNU5APNx7ltjHdgk1VoDMHIQIFmkIai3rkcoXu8R6it3ZfheGD+ElIi8GYdHoHsTqeb7oK0U6OYSXk5bQwRvquVXkCMpK/m+ZCpKHtWfrz8EG+5gzBhoAQfo1x4wWEmFjrbg9hxFzPvz18nF9qc/fp9fb8kL32HSBbIwoM+k10/PgmlcdYLy1B2vLOF3PDOn0eZKT0Y6i6CqNIYRayOHxrVf7xLXn6+CxAJtaKmqV3rXnO62m1m/dy3dz7DkSs+K0IRFl9h2/mb9DyXTGZVos1E2m5AyrRtG5vPJ06bfXDfCj6zvYZUI1zaPog7RQoOr2TK8pxQXSt7bnq85Nd2kwhw5KIv1Atph0zLU9IeQMrknFv8wH09lv16OKNh/iaFGCpYXX4/MBMKcyNog5NAbRYI08XvQLUu8Y+1A7E7nClwuxGWmfJtat51azC3pQFiJ1Cql5Q51vnDBvgcDEvYYucU+YcHODsU515xnOk8kp/lirY3RLnirlgk1rIIGQ+xMqxZh41nYY6VmeURUq0y9HNHRa+BeVlHRE66nollWJhvEw+iz+Yv+XiQd5tVWwTKTOzcxNAkO8SaqUL64VUAM573DXH4kn+xtKiFyc4o3jvNtSeja3cJo7fXO38Ort8Xzs9k5wq0AuVwqRZ8/w2OUakBdg2Qj7NRzipdnKd2fbajBbHx3nTcXZzVR83B3n3+kw/r5L+ydFHL48/sZ134QNGzFcvshLkSxt5d/ziRvZKHLHLlto8g0b1zGamJJ8h/xVyVBVksyr6mFSzYzZUuxu5vZ+SwkBH9xl9yDQAx0/yzLJ/NTsZTxb5/i5ApKlL5df512eDNb5DrtF1W70gkDDF0b37bP4213dzWd58W24oTgTakg7wbQIujj9be9D51uPLfNbkQHzftlz9V9wk1eTRm+zVO2VcUBQ3WqY1YBHjPaX1neWUpmHhpcMv5K2TUqTDaO0UcENX2uy78ZS2uLDs0tRYJEnXDiqH1IcLPCe5oGTM4i04JdfOWBXySg5PvynC8KG8I9JDuKGwvBOcHJr1XnIaLgsBouo9ZuaBor6236CMebgOdSSdOTj4gmphgSJDvQcVcsZFc0/qsFYJutrsOea7trt1+/Dy+MJ1FmvBJxd5rpHWKz1ZZ5/riRs7ueK//CBX/PBabtzmVTwmf+EhzsqqPB+/ChcdO53lhqUDc5uOIN345ibBLTaPtyivZqDNd/3KJH9816xn5OHtX8t1VgXbOwb3j9zV8n3PWYPT9hZ7ekDMIcU10CvNi7ckl6J9aHgfR4DBCgIq011/u3ZMtxsK8we1KgfihiqstwiwStljHD+/Xr/J1y9uoGvnDQICjHMxB1g+7zy4uaYrn96td1RMtuvVTmeFccvAUZ2DL6XynBmc09xfp0tJtbW93s94rWN02GOYsYkyWgfOe0vV0AGiTJ5hXdrXAZGPzTdrHtq9K3nyMwhxqVrPOrfNPm95wp5XZdstE/dSdhx/rXG9w/H0BVKasVbpkifR9mOakNNn8UOYDu0j64bgvv/UhVk+dA3hd/eZgbLKOHd2K3ci+0QyDQum32TvTt67HT3OXjPBAwKP5ldWjW9OqrdlUPfNz+myJojB1PpyBb8G79pSBqDQbk37441GrafXHH3K1TsDYLZn2op8TcgzaiCctaPpWYJD3m9ggJpbbr+ZK237y4eXx29/N4stp5z1cYe+P3gMnZt+6xq4NDemal09e//zWkNhbqyxxhprrLHGGmusscYaa6yxxhprrLHGivahRiAO+7PU6U/TEZS54TZILTzQKuyJ4FIpWVPh9JIaKqoAumG3APmcoCK8sT2uveb8AuqhaEjFPIT04hIfBmEGPPUqTFG26j30L0unXhDxbZOYVEqiEaCtvRwumRLJL4l/KPKhOIcIJ1GKcwVCRDVCL6pQgqK9elfqFZ61QHmWwsw3sFyxfoFyj4V8EAVUmdu6kfq1pkuHejH5LG3Aa4zYm5i8c6UeqdoHRWjUafkIhN6VepXnhd/vjRwu7b2cI1b7a6m6HWFC2O1hTp78FeS2/tDOq5fHn0RV+ZRwtErKe4TnvM9NKNL/6ijDo+5uHl4eq3QpWkOrUBkjEtK/dW//8lhEs0n2pTPb522Tog5Fwzh2TCnXEFV1+6vjkqJEJ29lrup8Ld4yRHlelXLbsljMAWNUQL8GdTmeTx1sUJbzSSm02Nj7se5ZK3XmrRiBDkn+ubjqkowbQQ1ZhI7jE4jCoC6saKLCHkRrRST0M+A3oEgsexC7qFN8NiLr32UfgTYTTee7SrF1KBLJpKhMoK9B9Q7oFlEvBXXialgKyIScbSGi/xh6+of5WEq05UK0Pi1gBUnX9vqAfOR60SoqNzqXVG2ie0KKhSA0UY9slfIsunB8UE8dF6UYROjnT6MEVg8ABUEk/xQkbB2oPCSJhyGRNnJlnJ6B2ijMq/Md1kh0tDfuZRjoy3dzlnvHxZt3Dy+Pt6Ef92lYm918//usVzaZPyrb6+cK2OzWp+J48yxz2v/Afm6IR9Pc0R+N6znzA4RWhsCsNoEz3dzN8+DDUxoiCJRN2DoV86UDWnEunZDvpJpqMCdBUFDTIHtZr47qGDjfAEFqcn9JIGHcraGSrseZYntt7CnrjlLqLKKwR9D5M72GTYAqdtwoCSocv5D7rUIEQmUCShDE1+nt1cMC3Zhx0zFX1FGgMJv2o2aOSOld1M2A+Ke8rsGdh7nP4LCeClmVLQgnMO8pqGUqDNFTItztYkHdHBp360gRijyGzEDaTc/zmNN+8TDfnwccH+YxqtpbDa+QHucxCsEKKMEvVYipe8jHDuJkoPh2nNhFauXTzkGmfAkiZJxfsq9enqzeo38DVDa3tu4mzJmKksxLKL6CEFtJuTcohsNA68I62AURarqPLvvhKnXFnLRWgzdMtZTfY+sL+ZmqiE8VaFvWX2N5e7A0XLOO6Tcihl137X8pv9/p3VW9Wl/jPepaxK3jD33PtanjjP3TMiqoIpLRceTJy3nsOr2TUYcl1GY1ZoY0BLqNHF/53WQ/V2oL9G3//urH80IKujr7UDsQx5Nu6nR7wWHlwuXh27lldVEQMu+NEN3J/TxidA7yfVrHq2qabYkxz4cuPHf2UCA1L+F5fc60HpTACXkIpC3OcOLoeJNy47PmQMUTjoPBegAYsDC9MJ8N0PPuv8pl2fp3M+VR1dZ5QT1Yp+X43BbPIQ5K80kGeD2994I8kAn4eWcNpfZanYbSkKWOz8ZioBm0ezU7kZTSRFUtofBMqL0refTSgaiCs47L6l1VyDVniFRQVcRtM9MLVxcokJvzzrJIC9+rdxranxYsAJZ3cnkO2IQdrvXkH5Aw4irSq1fh0h3A1TMHonRm7ZhReI+R1PxP/+Y4J1x7aTuviC6YCfbZeL12Us//q2jJbtyE7R+d5bJsbui8z/dYHuX6Ou3mNnt9P68ALlRnJ0ep40JAqtvP+K5S/M3dWeVytW8PeY50tCfknxmwQDB36iWVJMWAi87uE8Yc0yJU1Ob5tKEwv19bDFJKg7KCsgvbalG1VLUWJ6+LWhfNJRVCnxlyRRXo1CoPByen3bnAiKgcml1VfylvR8VUNz33OU8OFxd75iCU5uimSqdapz728i7FQ64nh2S18XPxKGXEXJbbr7Em0GnodER9lPIVBhqyaTfMY8r7mRtxepcAIzkkq8X6lMW/5Trjd/tfePr9U4o0o2BuQmkPZKhIJ+TK1OlsfZRo/TpFw4Z3bQZQzkg/oVpmm+CzaV5MJ3P/KO8YbxBQOoWGfBKoevm5psNwDD4d5+u3B7kMN9aU4wcXuRGcE9ySTn0wyPPqizt5vTYoJHeSznzvPHeK1x7nuXFxhY0Oz7pg53fyTv6t65+xqXPWucrMsxzaA7nMVCqd3SIP+X3Sw+yj8Ew/NF+nZh7RNmtH13320VC4mjQHVS7E1Exp79t658vUmS2DkvH7ySFZyum1/Tbt8aA+f6UBFwNKBlmmYj/a7/r3XWU0vYbjTckRWsrjqoNiQv7anTfyjc7Nvfh6vtHx89DuN+tzQg7WKrbuTZw/g8PeHMnUtesAx3cVet3jtK7lvm96gt4TAADfltfmx6d5QTMDhOFad7DOX3+wnSfWt9EVKMkk61h0HlGFebpr4l5uw5qj/6ReVXhmztawnyoMCOvfRm2AXJaNdwjY3aJ+C6nobGN+P79ZcLDrZ8XpnEgX8ehBvtELd/N3MqD08FG+5nLvIbhJ56RU9NusSVSBDjm568tuHZT6nA4816D2OfMIVvc3bYx9VUelzskQzCg4MzXHrour+WXNYWke2PHHmftY45fyM1Z14N8nhX1C6B+mGGBtM761WvMsLt5/vvqGwtxYY4011lhjjTXWWGONNdZYY4011lhjjRXtw41APO+n9rKfEgg96YHDfZL8E2kWVaQFiPHD7MrtrKMrUkpFabV/NXvmp9+Zo9Ki36JwCRGlhzm6vAHqMIp51BY3oJG8RvrjBLRTFTGSBtlVuEV04bfnCLXCDaNHuV7aKGnNqRsRdT0ERCZEj0TCGwlOF1CH+mYhJTIDRH6xRgOOO3wb6ee0h/lb2SXfU2jgxRzh8j2CqbR7JbeT80f5nkbS2qB3RDVOnuRwSSWeIupQJGegXxvpof1YXzMrFXGXDlHDgEYkRDMAfTF5K7fJ9tXclhYgLw/PatoBIaW7cBt/C9m35xFIOSd0o4jKM8P822eHGU3xJhyLm8Pcz57byNd8/uT25fErhxni85ErGepie+4QehpNVu8tCsQ+3zGJMN/GRPKJRO6i+FTS1LyPKNqgus33W0BHn3by99vdz224SkvgGDKhH2yAsLxz8/Dy+PA8P1PkzOQ3Cet/a33C/bPHuR/cvpu/RzXWzReNCvP7tWVr9Z8RUlETUhrG+6tvbKS9K0qVKGSrEMlUbEMEx9ab+VhFXyPH0qI70t4n9WXQLpGBDP99EHGKuASKquq6ZpCA5jND2CwIp4iGZLgMAigFepwojyCMUlF4nVOg9SbQTYEGJzWlQJsJ9LgCFan0jQPIy+TiBcp4pULsewYKPPTP02dqqJ0phZC06Ebr1PIeX6n/TvNCVN9vLKpmAJV+up5KTA8T5lXZB6LtGYtdF81hDWzv5I82muX7HP3W/uXxxrO5Qz0Z5ZcVqb61medVEd6e3x2s7n93O0NLHo7y3PzorCSnnU1qs5RkqdiqSZ8Nc0N8jJDMk0OUq12L7XBP6th10eX67gGNwJQpUsehV/XeymWZijo8Q3WTfqa4wHyTVDQgiQJKRiSadGb6pQrylyDT9WOkSjb2tW1wuEjd3iIqptaTkwIirHS+RNsLKHAVVAvnRapXS01RgaIYh4/rhQiu/3pumw+/jfV4AQ3kGC267xTYVhBpKYg3BKo9bXG8v7o+CIuAKg8pRbyGMsoEmIPW25BODGNvcCNX8Ij9uEuOA8QJVQCe9HKdmWqiYvmoUv9oh32KzDXqwv3O6HkEAI+d2ChY23UG5brCPvaYueGUFESKY9xlInwrDy7zdcqFwRfzuQvKdf5svT/CNCiB4st38vm2N8/bP1QeXoIu3D/Ii01TOCkQGfagT1bXdO7mbzo5AHXO+DuT3s6YW8h4FYVksDnv3WfNGlC0jBEK3DheVKjy7hj/zCGs1KsKLuXfjRkXgigSY0RYhzA9y9SZsy6abeRnbd5nrtmtX+OGtdm6yIMj/At83xIyWn9ES5r8+l1bqpu/hzUIxMYaa6yxxhprrLHGGmusscYaa6yxxhprrGgfagTicGucOputdHGSXcAiEI3Ab+9md7f5WULuPHMNklOsXyGJ8DSPyT03+44cFjdaLZRgk8hyyE8HQk902GgEcrCQ9zC8K+5mxRtG1E1rjSDwd5p53c5O8+9O294jl/fijPOKfPwGIb5P5rrpgp6aK/6BRzzkcgTx5jUi8C6j3kZHRF69A1LuZm4DS1BoPSPq1LWIgS4IUr/fAJSraDLFMcZ8g8R7DIere5a+tci2C5IH90FgLrlfd6se5XVxnMM+CsCI1NTa1/M7WR6jYJPH+Z6Dl1bleZ6EVuY0vDXICIp3CPluAKnxtyNC051lLu82Sb2+eHrz8vg6aES/zZAI26995blcnhu5PFugL6p+MyU/lUjj7S3HEL9Zfub+tdzezReqiNPOLigW7mN7bxNp7RTycm6Th9L+/+jJOvQFOnXnVi7XDhFd62tnWD9Gtb7tuPb8jGhtfxfUM/VX5bpZhBxTjX0ta09WYiYmWJ5xLEKtii6bWyagMIiCMuTFPDMMG6Uk0CHiKuLjoh4dEa4HJdQ9e7odiCoTkTF4VI9IK+WEERXYP6zP0TfMWhcBaSIqxbnEKLkIwIAoWVTP9N71uQg9FtU5yKDdcG+fPzUC7vc+q49We58leTFD/qDNp7+N+eACYmtZH902R6HlnYFmtS2PrjHHMr72C+9he1dsxvyeohF7j1cNdGqSfSLtHY5DjrNpHosvbpKXC2TkTOQgAizL7TxXByT5EWskEEbXrucPfm0roz+GHYSxpqvfdoEXmUfRucvciF95K8MdzNN4dQOUCTmEw3qU+d51chB/45qtrVyGEwQQ2qwTL8cFB466RJUpheRZs6383rbfza+AdHwm/3QxrG/jN38tl+XNfw/0EO28Vcg3VoeuvTxXyJva2NN2frOTOv1OGGedd0TIiLxfvh+ISwlVDgrLsV70kijIKsdraHdtWEXmxyPf3MNvYb2ouILjr+OZCH7a7KJfj5Q/vV3fVxR1mPF+VX2YP9f7iQJDuzCwD+bbIHgP8uCtcF/ndp649zdZ07Iu3ernTrLfr4ecbXZzQ3gyzmPIvSrfLG3GNe+oU8+eWyp8RL63zh0EVs1HqFCk+ZKv5ncdg75vsR6fgYbuKPT5fG7E87UI6fhj+BReyx/B50jNG2VSVmhv9qFNRNaWrJF6Z+TTvGk+4XxNC0bVlY38/V7czXux/98bL1weK9o6vbP6bU+mEnNghzz9HRD/JWG3kEfZ3MYFUZCSeEwUY8nHvne1HTWn4mSXeWEktLd+LbQoeM5KORO1sNbEFuhCWPaNB/XIxGoKD7kkzXstW+MObVOBV9p153zNXBsXCl5jvyMOxDfffDP9V//Vf5X+/t//++n8/Dx99KMfTX/37/7d9J3f+Z0ppZSWy2X6b/6b/yb9nb/zd9Lh4WH6o3/0j6a//bf/dnr55Zc/0HPa7ZWDQ8iyG2kXcg580vlS/d48LXEGVQIeAzbJG1IJcRr2CorMFziJNoaIFXA8usg7IBWR7Yw6taRXSstWWXlrX4z1yhRfUNxFx8YuYjDniDGETvEYAZab+frWHzipvXw2r3dczk9y3fRQWA40It5JkYbzk9W30dE1YSPQvlE/aQ1wwpUcql0ciyMcqjMVrlgoS1lVsCVsrPlO7cCnW5k0IMvlgtxr+jv1q9hlYVEVKOWoa08Z5KUoOdh4z+1b+Rv/2qNnU0op/Z9v5UnzTXaP1xjJ5si8voaKwHNQlXuswu4jlbgBr8O6cwPk8c2tXMbhnfzbx6jB9XEyVqIjS75jH8fxoFvfxxxzemT9VYSiE5zeON6455IF5IR+qV1BIW0S1L3ZYO2s2vxssxBgYJN6NIFqoegTfUhHtnS784RIC0EL220lXjCfFXZoHxL7Rs1p2umz+TiIm0hjWG9qgjMMSke3QMfT8eeiTlVGaa9ujOoUb99tQRGQuSw6uFblMbF+SGDNhiZszLZIH1Jwfk5qNlQpvUuNEoVhaV0KoCxZQOogVK26tR5zLnJMI1gpobnH3aen6ZRSpNjpc9Hxp0iMm8OgIO01Di29p+tSypOL7CGUoDGbmzllOWezG5wvlF2xC9uq9SStfrrrruBpKlJKUXDn8rk4J1u7uaHMt9kwOv7W62ukRLDsYidX3gDBPtbtacxar0sgWhViaWJDNtCV0zClPJe8drSf3ss2e7kst6/nRu589G9fzWJjUtZ0FBqgdp3suxo4dm7YvZI7oMIzk3WwfXEVYUIDtbZHj0+Y39i0nz2niIFpAwgEE4x747vrnUAlp4pm36rGvWoMW05bNb/4cNk3al6bDVYiOo5hpfE6BMgYf0oOR9M/wNgPY6pji781TcfFjdWDFz1SCgXF3VwwN/Wu84aIQjlPn5LuqXdk4fOh86rOvy6OAINIGw+ZA2jXVb3OcFS4tjPIc/IC1+A4HVzPH8eUP+6pdzfyjW4gymRwYreXR8aPbWdO7ikf5LXzvA+4uZHvU4lBmYbBdf8ZYk6n/Xy/41PADYP6fdOUSc7gd5cxbHYvV+DgPtT7T+SxcxrES71nrpvN9V5awcQnj1g7v1lP8XWd4/rEedV2HVOs1NPUFW4TmOCe6A9cyV7JZ64cXh6/+jD/+GB3VU+mZto6gM7MnFIKzto/7duu+2yrpfQz9iHHC51pjhGVj7pvnS6Yj1AXX9S7BkLZySoSKdRQ0A18aiF1jUJLOINPnjN6549X/5zfqBdTcv3uvKdfY878WaUqWBR8WHX2dacwP3nyJP3RP/pHU6/XS3//7//99PnPfz79j//j/5iuXMmt4id+4ifST/3UT6Wf/umfTr/yK7+Stra20vd8z/ek0ahAim+sscYaa6yx3wVr5rTGGmusscZ+L1kzrzXWWGONNfbbta87AvFv/s2/mZ599tn0d//u37089+KLL14eL5fL9JM/+ZPpR37kR9L3fd/3pZRS+tmf/dl08+bN9Au/8Avps5/97Pt+1nTaTotpJ/X6RBmkl/ZE7hF9IFKwAHmlB33ae9r17O+GoPXOjhDGAGEmGlGvr2jIVis/5+KE+yi1LfIAFF8PZOKg7z2JXBBRfnJvFe5vQW3s36xPbNsFpSTSsb+ZQwXjdj1KyoiVaKsu7zS5l13sg1tErqH7tncW9dc/Iwfh6SjwnCSg7UI9ipIaH0IzInK9uEIIw+jHGZFx6mNK1D3Qn7mm/cUcrpj8gTU6C4GfxPcq0Ydth7aTGbT6Hs/sEIUTvTmn/ZhYXvp1EHLBBiD3/p1rr6WUUvrCWYbgfHwrh1/uETbdIaTU5qX+Pw8/cnn8H9z4Qn4P2tLjSa67vV49ZMf+LzXiPlFRURPTGlTsBYhb2/4MFIboDNF355P8W+tuC+rFKcn9pWRYrse0Cfu5dXYGEmSH5P5V9G/xZo4qnt1mwQ/MfgvkyqOTXL9xjMrX2zYmr+bQ4ubHM4J0RPSxv75epM+Hzb6Rc9rqhqv/QtR0Px8b/ayi0YqZGBbcuJ8/3tZb+VjkQYj+FiKlUmVOnqeoUAulBBoJ3X6j/reXiIsC4kREhs8RoTJ4IgIpcQzi9mG+5jgPM4H6K3LEBPmlsoVo8fpZrYKIjCgB0QMiBM9vcx5QuXUgJcXvFIVFoJe+DqIYiq/f4/wWSIX1NyvRhkqIUEUBjPqXqEgiIIe0z/O7IN9HUo6fRteklNISyo/o0Io6aLoO1x4pwQLo1KNrFlJpN1nHMSeH+f4+gi27jJ2mZyFdxZsXuTIrxHhKkblwdXeFdDk+3OTaXMH3EPrb5h6iCC8SzJf/P3t/GmNLdp1nwvtMEWc+J0/OmTfvWLfq1shZZJHUAJkQ0Z+724bYFtDQD9sQbMCmZIs0YINouLtlCJL9S4YByrbcAu3vhyBAny3Ylm3ZFLtFS/pEiSpSFItVdWu6880588zz0D9OxFnPqtybdYuqKumSewEFBs+NjNgRsYe113rf9RZRrgPrN1GKLD+RTEAMAb/PuvLcHZSiqa6JX0ZkvYmaOQZThzTD2YClO1AqhshTrKVKbKeCdw3fjZDQGedG9FUiYxRKOk1n7+w5yYd3KVP2bq5r07QxibSmD6eGQD/zmwKFxblezYsOOiNLJbiofUQ1taWyjRlW5+NmCiG8FFCwvM9gCfNDGfsU9EGiqA3mkBkQjqm+HcXKtpOqTFTRBEip2ksybupX5mM+rdYLlCYAYlyNjRDlleDTcj6hFVFCYTnsWM8p4MXncdwER/NcTpQnWKZoMJs/x/FQ5r+7bXFe6btTaMXFQjy5WV0cZ1bt5xMlmNkWJHcDTnMSlOewgrmbTESydqJSF7WifMhjiEj1S/Y9VmZf5u48EK9cV7trdnqyS6xE0X0ZJ0B7d3vyrAEmuyLKd0yi91rJ4/mx1ydKfWYpk2KMpmiT7q9YJWi7EjfCc3CcEblH9kZ+D/umrXkbZhhXpdsyuTSuIB7AeQb35PtVjBzGGEo8hmDLqf2bsWSQMjKqea/omL4gtEu1SBVZiBTOVUIrM/W/D2JvewDxP/yH/2A++clPmr/yV/6K+fKXv2y2t7fN3/7bf9v8jb/xN4wxxty4ccPs7e2ZT3ziE4u/qVQq5sMf/rD5/d//feuiNBgMzGCAyafZVP/OCaAH9bfUikxqDAooBWVszkntpXpv7EzOsDhwYmKnSTgGZRfUvx6CInQYA9CieZ0xa9Hgb4uoP0MaShG1zBjQKEfvg3B2OsFKqRDHpL2yLaZkL0blokUzmKjqJVAVFwHYAVSbGWRkbTkznF9zDEVaOu1TTOpUpybtPCijNgb6wLglz5FfRqC1AGeWNYMaxJ+jUwyxQKwgwBzdizToSQO7K/w+a+OZ8/idVFrWN3SoeLO/MRhEh360K2MouYpFA8G0bnj2219EHUMGCkfYbf/h6cXF8QeqtxfH66GM6RE8tcOBePlJzJ4v12VH/EhFeJdDYM6boIOFCIhXswj+gwZRK82/8XFTAmnOOpGO90vH6/hQVpAsHBO6jAzacxxwzPGa3OCx/hRrV00jByd7Sd5p91S+KSkmBy1pYwnBTDoDDLYz4HmyKn2SlLUA/Sp+TzMLXf9hsXdiTTPGva6lRnOKLOm2DN4Mq2eDadWXpVfVH5V/J2VlCootA46k6fJ30pxV4I+fUgVa6I1gPqFzqCouzM9hHSYItpsc6hWOimwjbg+ni86VqoEIx5MUaQb2WthI0qlTThhzDVzzo3egA3PGakkVwOBGjvcHtcah9sdgpQqE4B0M0WdYazB2oI3RgdO4jmAA9yqJjTc3r9yQMwhIih03LlS2JT1vsMyNkd2xZrCSQWL+TneMbVvcc8CahnauMv07ft/wCEmkEvzCU/iUnNR5ry5qZHXhX67JQOiCKsfat7u78w9In6iDesamLe1q4pn4HAkG+FGO46QNPxnrjqqxzYAfX3AWLx7J2gbWmBm/ZZQ8n7KsC5LY9JXoYyQQWEy38Xz8TKwbjPebaXMMYS5YxrO27Bt35hQL9zC/RXNNvHl0qdo/LPZu7tXS/XlunBRjzjNh3b4ecaNevI99SD5pPV/NFQyWwFRdRS5Z8RypggboLwRvMGgBxdnUfbl47lgu1GIQjrRlxshZ6gLGNZznF/blYVvn5GHj52aOfcoafkhuqRJe2KcwYVBy7CeZoO+M5fch/PckEnm/ce/pxXF7IOc/tSrZyb2pBK8eKcwdgAwWtVpW9mGtIRLoCGYO4N/S7+9vSUSV+6ACgAEs10V/OFiWl8nYAOfLAUpCGfg81crZ4CqBODQCFqaBHDeuYD/uUCDmGpvC2Jq66kdjTuf8znq6K1lp+14HN4tsgr8jdVytpezvD1BHkEbfkeNDHS/Z9xYMzjNRuihFgWHQPgfQCPwpXe9bjl31wV11cVUylXMgfHxekz5MgcFPlIiJfSFej6Vl6GvPzn46Y4wx6Q58kug2f6YqzK+//vqiRsZ//a//1fytv/W3zN/5O3/H/Jt/82+MMcbs7c0ni/V1XTBofX198W9vtJ//+Z83lUpl8d/Ozo71PG/evHnz5u3ttHdiTTPGr2vevHnz5u3PxvxezZs3b968faf2tiMQp9Op+eAHP2h+7ud+zhhjzPve9z7z/PPPm3/xL/6F+at/9a9+R9f83Oc+Zz772c8u/n+z2ZwvTLOEmc0SpnsqodvMqURPx0s4BtUiA/QUBVgUOis4iwCiaAGtgIKppIgyKx0AgaSVn9Eu3DNJGjBVc5Dd7oJCTITTYGxHFcYFZQc9e6qLGee0A802aaKgLegmI6AFM2UiI6Goq6DwQO5RQcshODLoQLCFdKToHCK2SEkOK1CHBU23WIR6MpGRRHvi/vxmpKZ32PeKEvLn91DiFBDKielTfC/huj2FkYGK7ljRjOzFnJMKwWpHZ1IhMllH316TdzbjJwOaIr0q7+Cl5tzB/OCSIAobgAZlASe5WpJK/MeQiCV1YYqBEyK9M0A66D3LUv2aoisspvzcqwIrurgtKEVmTnsQC4nViUcost9O2ccKqQ40opjzmBe6+O4q24ffWYZg2JTfl0qg+DuU1/NQuzvuRTAgqKblURyafSNHxXbMb3n8Trq6q6A2x61CUkbH44eY9/VOrGnGuNe1cd6YafYNlAYHgDMu8t8BBbbyinwXJexhQc0ZY8wESpAU0NBZUztV2SBZWXlVjikAQ5QgC4MX7s6vQ7Seoi0jvUnUpSoozow2ESd4DlcxayIKqYaZRuZ6TOGZQ7wzot+i67Qu2dtIU9QboKT4rdkuhTZgsW7SLIGwctHI+b2ZMSeqMKaujAoY18hcq0w7AfZVnINpkcqKqqC5o10u9VUlcKH6sBwPoOyc3z377pOkEk8caD2WQ8HaP1zFgw/s2flME+gdIHGLt+Wa7UvwqRooUQEkXHhdOsIg+jYjUCQNBQPx7jK3QRnD+x2hDMwYiEX2k+EKSpyABTOh30AkPq5DCMKsZYd8xeyGNBCCqiQB6ZonQFI5qPRaeAIoRZcaOcYNBSwUghBtIJ2O6t5x347HwezhXdKMMe/uXi3dMyY10e+T6rBc37KndjTioCIftV+T3zm3uNCFLH3gUoJNt+fXH4XsYHKo5jYgrVWZAsxVp9ewTqW4sZFDjs/g1C6GsPY10EuflXdwehXoZjxH3N/b54HuBqp9VpUHYfkE+rQss9MeyLFCK+N4LZSF6vW2LCpkEP2P29+Ua4LCTEGVOiBn8f6gnJE29gBhJdsowL672ZNrr5WkXUUgDU+ach/60X3sM7kH5h5NCUCxj+2jfBGozZmoZMYQ+3LGCcjYIzqePhfp6mQNkNzGOdIlOKL8DJ6PP+D+oAtk6VZRYI3fujt3OMmCKmNPfcpYApgsXJtCPAd9G87LHE8s1aLYB0mMM34PS6kfXkcJ/fHv4Ie4UIdkQqTPAkzn18RzpOHrsYwDUYKFXZRHQRkdqjPzW8btV2VxKDRFASqcQ0bZaEMaELMGpqkHX9je9gDi5uameeKJJ9Rvjz/+uPm3//bfGmOM2diY7xb29/fN5qbsevb398173/te6zXDMDRheHYjP50mjJkmdJAI1IgyNsEMvDGoNsNbpiQ56cft9rznFArg+8MJ5bncVHcwMYwRvCpXofSEj9nfxShCzQzWWZgC+s36e6QQDqAYTFprXNeMkwVpwqTy8vlYcy9ckRFF5V5Sgeh4TjiRMPDHb8BNBM5hQIUTOGHmC+eUtf2gfMjgGenMNDWR4jlYM4iTPN8f6cdJJ4UYjj6C1/GAVWx41vDL2r8HjcFP0oYCqnsfYrGEynUCgdDUOdC4Hcpi3NznMFY2cvOF5Y/r5xa/PVkRXuIr8Bp3UO9kgNXk5bZEOqjWRufhWw2JNGyAkvGVw4ty32XJjF/ZEQ4klYfrA1mVSINYyc9XAtYZLDi+get70BgszuXt12FgXNHmMKeRJkCnpt6Q+SKL71FZa5+5D8sH0BiQZKCQQe8A9VvT6AR0PlXNFzif1YJDXvYhsndiTTPGva4lxvNNqlPtGBSkOMDEwFj9GpxB0pVgdDRI9VAKvDimGqmiiCoaiH1DqOpY0TmMHLKZYyiRSqKCaqB9MDjJ62i1ZTnOI5iolT/xfNQHAD1mWMF7sgWy6LQ7HHgaKcwMJrqcU773HpxKFYAh/RjOqaqTw3eDDX0ckFJ1edDGwi0kwhh4xPNxc66Uw+GsZ+s4n8Fl0pUcqrgcE6zxRdXJxTOxvBc2x2MqDaNuMH0S0oYn+IAJlUCx10djH29fQC3OPczHVF9UAQU5Hhfn91Ljp28fLCFqHzFgRoVzpSi7hDIT8LmSCHQwyMfEsVI+Du0+HWnD09z8HAYxpqR9gkY1zsFvwn2U4jb7JwPc6G8uKpmipzpqk7qOY4treE4eQI3+z7O9q3u1wJhEoOcWlZCAjXNIrKAvs4yFqmmIY0UDdsxLrjq78XXGrAuIfsT+MqNbwwAN5jAGgLivUDXp4MdOO/bg9u5HOW8AGIAgAxWZ47mQ9Q2TK/AnsRemP8kgHBWWDw8kE1RblegHy9ww0X+5eGT9vZSUa6Ywt1QQpeH511vrZ65Xwn6gOZJFgrTbi0tSj/uVA6mJEteUNeaNyW85ri3LotJo2YvSsczVhOCedencBbzLo3vV+f23ZIIiaIZ7Xg6JNEAE7Kdcs5kc5drBmtlhHb8jqadKL8H37xOAhHezkZNvv1Zjgc+5HWE/ova/dtyQGreZNmISZXwbLM8cW8rnadt/V2MbYy5szO/FJETYQEB3CQrSXEtZY5vtYmKXCu/3zZsaA5dsD8czE7qK9h39zHmU70LPr1hjN1A2i+VI7s/H07T/4GHBt53C/LGPfcxcv35d/fbyyy+bCxfmRZQuXbpkNjY2zJe+9KXFvzebTfMHf/AH5tlnn327m+PNmzdv3rx9x+bXNG/evHnz9t1kfl3z5s2bN2/fqb3tCMTPfOYz5qMf/aj5uZ/7OfNjP/Zj5g//8A/NL/3SL5lf+qVfMsbM0Vg//dM/bX72Z3/WXL161Vy6dMn8w3/4D83W1pb5y3/5L7+le03HSWNGSaVWm16VbAZRMSzOnALSTsGXgRgqLkkodxShkGI1pTfaDNltZnTGQBeR3qrojMzibEqGhNfpUpkYGV9CzlnAOgRybmpBSvHa6QJQl0AxEbGUAkTfJR7BdjGjwmtSmYmR74kSp0ER77EdMaiyyNE5vLY6FYqBSSIT8V4o+tBtStapvAQRHpzPYuQTQM6JyCTUvwdEqEI1RkhK0huGoHyzXytqNWnLzPoTFUOUZJXZR4hdkK5E6DyV5PJ25AYRn3HWkOIcecBfbrWW5NrIaF3IS6bwSlGozU1gxY+gvFwNZGwf9QWe9H3rtxbH1xuSntvIS5bsRkOqy9Y7cn2iPG8dz2E6axX5O9I3lLARkXuBHblH1KGi9VIF6xiUNWSGKdrD0gmkHOehinZ0Ku8jvi+FVRJIx7WHfKbFoVLOZJHrDo5JA6Gq3FFT7t9HMelppNKmivA/ZPZurmnGGBOrMGtkshyTVhGLUMwcU6WLhjx1wOLSDmSFixqmi9DjmG0nagzUSSIMbdfgLYkEYsZXZX+JOKG4iqNQPRGACfUcoPsO7O9J0YWithHJyUwxn4lZ6ZF6DiJU7Eg/oneI7iMlhkXHiUhgezXqEMfRd0oBdcNa6FQsVbQdMtqdVGXcfwPvnWJjDrpgVpYG07qMPgx0nfrGEYqNiPwBWAs0l+AI/UWW7piCSpYCupfZfpYSSUzkmqRZk25L1J2iBEenUECEiCXScV3vlII87IcUdJkCSTniOCA9GCVORjX4jEfwV/AOhstANUbvj4hGCjlkURqAtHeiKVwKlRyfRIWkupaTjUZYE63bx7ehcArHUDx3xP36Yacwv5vr2iRjjAnc6E4qsxNplKCgFbZfWSBuOc8ELfv8QCESNcaI/q18e0ipQv+okiIO7qgDnlN5HeInzwB9BnFGlkRQJUao/4Sx3VvGnBM9BtkHLKFF5dVWQwZWy2DvA5ZcEvsjohRJYe5N7PMr1ZZfm8nCcwRq83pWFrD9vgy4x0pzeB0pzvTvq1BeJgKRbKN8Dvtu7K1Yhor7zEIISudddMQtsABRqoF7JYqKxqxFYwR5qERauVfEPiwdOiaVB/C5XCh4/q7mVMZHMNdPknJ8/aa87+CynB+LcFHgcdy3c4KVEAn8hqlqO/qvwfmYx10MBc4jsZK6McZUX0xaz4kRfbz2oAzBMLSrfAuMr0ewZtLXJfOlLsd92fZqP5zsAzysEm+BDzFxIOXjd0lhQK6Brjaam+J4pq4gzhWhm6cTNbl9W3vbA4gf+tCHzK//+q+bz33uc+Yf/aN/ZC5dumT+6T/9p+bHf/zHF+f8/b//902n0zF/82/+TVOv183HP/5x85u/+Zsmm3XwVrx58+bNm7c/A/Nrmjdv3rx5+24yv6558+bNm7fv1BKz2ezBw41/TqzZbJpKpWIufeF/M8l8VqFoiLgrlQRO0USmhQg5il00jyQEvLwhKf5mlE2YObKz447EYavrkk3pI+PBSH2zIaF0ZsldNfd4DrMPy6hHUUdRWCLXiACM3xPFUniuy/iOGq9X5dpbEsJnG233NMaYft+Orht1UQ8ChWjTj8jzqcLnRCBGv7O+IesUkc+frUl/GAAlVYbABL/ZsIP2og4c0VQJhfIy+B1IVDxfDvUsY1QhkW1p3IdILp2XIdwCSMqS9B9m2PjuxkAaFoBga7Xs42OItmey8l2rQJ89sjSvUVJISyatlJbnrI/k2n0UQeb5tQzRnvLcFE4ZIY2SYh1PIB/rQ7lXLZQ2vnCslQRjY8HluO5LiP7b6kv6h+I1ai6gwA6yekT6nhzL3LK6ItCHNq7fa0hbgqK9iFMNgiqNLmrAnMhzx3NQb8BUl/VyypitrZ+gviIypL1Tuee581IFef9UMsejlty3ECEpJ92BefnH/7FpNBqmXEbxOW8LW6xr/+fPmWQ2qxA7rJHHemCxuAj/XRWJR+2XUcl+PVctPmZHA6B1ulv2+jYpFMtm/T2eQ0RPnKVmgWmVQWV5UGRec0CkUYAlB2HQDgrIU9AkBYQlxT9Uke2O/XeCLDSy8+y5Co1JZMDA/ruqN8kaWY53oAqAT+zns15WeAzEGzL5vFf8+9bvyfx3//vhK4zsfZD3VHWNgIxkBry3jjrD+0AJEiXkqJXEmowpoFmJ0onFUMZL9iJrpevysvsCTNcIPX4nul/4TkRGsl9znBFpOFwCehDCKRPUJuQ3i5e47D5q5qImZwbXHiyDJQJUHscz66pRlIiIRYXExXPnpJyw6Zyzj3/VPwjEsnwGIm6LqK3Z2ZJzinfkWAktsW+wyD36dfGuHLcu4m8dIk0cB8OKfT6M2xyPt2m/b2787/+bX9O+jcVr2nv+6s+ZVJA1xV3pDEdPyWBauo6acU9DHATriJp/2b+AUswdYl+BGoFEtnK+7G7Dr49YUak8mFgNCFXu2VFKoyvohIfiHxE9ac6hXvSL4qsNr+Fv9+RvKTyh0FOYW4jcpbBGvJZwfRu9RxY17lmmFGLCnqF3JIMpAwYT/f6nVqTOeTUDdhDQhTkULL2Qk0aegjpwqyMT/922fKiPrN00xuj9w0un4seXgUCkcGghI53msCttaQOF3m3iXWfJwrO/AwPGHPdrNAp1seZuNmIopTD5HNelXaoGImv2owZiuI/9LVFoZIxw7iZSlX4Jl/CPSYyjksd+DQyt9fLZWofGGDOK4G27h/K9smBcqfe7BwYe1hE1F+PaZFSoOtUYc1y3uVYPIO557ovye+MyHbKzfxegBmN7izV+5Rz6XBOs02QiEIFIn4DrC31jzm/OZ8KaHzTPIo2HrANMACtLuaLmcbhhF9TsHczH5LTXN3c+8w8faF172xGI76alMxOTykycaqCkChdR8L95KpMXJwzTAyUERU7jCXeK4AvVaXNLcm1Cl0PQ/UYO9dQ0JibSO6d9OO44h0WuKSaSxnMMEIhIVyGUEQW1JrfAnbogCwsnL1qAgEp6Q2YsJdoBGicDMK5CtMq4UX1UJjUG5HQA8WwAbwY5qmAJ1FxswknRnEL8hDD+IpRzDYu24p4jBBZDKE7TqKJNIRlCxeNvRpGaPgJ2FGhhP2UQcIQgIwvC00kYg/7MPkmaehbBI9VGiL5QJIYUyGzkJFAhrYAZ8HZbsNzPLAmHj+rJt7oye17Ii6ORwww7BSeEVAcGJUlfoJHOyyLBKyXp/5lo9qWwCo1jmAmBdlvGW6Zop0ZUQIcfIhDJMgTDrDwHA4UHJ/KspEjzO2UxB8WBS47PNPr+EHMbld8555HCwnmUc93eiSwunNPYljgRMu0+5BXn30VLDoxJJYwZQs2VFA9aHKDgxiJoYONUttN06dBQgEIpk5LFuckdG9qlFIPtQSpFschCaGr07ds+IbUT8w1pvXyo4ZKdDstn5UZLCbC4qED2W6mgWbyxdYnL0NnM4PlIaQ3q9ndHU4FFOLPn/h/MtZ8k3wVtyPIY3w+nZ6Ng3v6HUPZDie3IMQNQDBy7BHM0NdVOYye9ikGcJAJlFOJgv0piIxxvnqbw56bwA1qPYk2D6B4Db4ryw00XrtPdxikj+98q8R/SEtG3FfUdfSUuOdBfcwQkGQTE86tAPvukg1JJBXLFxlSBC26S8P3K9r/NS2xhMZ4oZsTkSGebAU85h+OcfVYlU/BMHBN87xMItlCEhqIySsnTQYmbRb53KrqGq2yEt7M2LBmTCo05WoYSLYIfjUtQ1EUAwUXLdCnLuqiCSm0Z9+0wMBSNt6lDab14B3PIBe5BcE+W00Jfc7HdXQIaXFe5Ds+w/5sG9jUxnqfHnPPH9sHPfQL9SZZ7Sj0v+8UjKD+3K8Ijp/jJEyXx8am2XMQCksSHShbkeBV05pud+Z5gNZRJYQ+CLqkN+bvTjiya/SyAFEoYBgKSnNPhJzOJn+D+C8d8lxT3ZAK+GMq9Dupz/31rSfa2RxQRxTED1gblxZLYSzBBPEXHCqUilE7G8RyUPjHYe+y+ImIzjz0lmRvuVVaysid46WhObQ4QfGWZLQ5QVcKG5XfgE9AXc4krMSCnqM2Fs+caY8zRM3aV8pj6y4REWIcI5CYTGwCBXMMYsm8RdRkNPGsW3yY1xDxy3u7XK9oyXW+Wlyla/p2CUgy9oPQJQUGlijSyHwVCEw7hRZu97SIq3rx58+bNmzdv3rx58+bNmzdv3rx5++6xhxqB2N8tmmQua1IrkIdHRoCILNJwU0BVKVotkGsU5YizRETZTIDWMYjCTw/l70bIkPD+WSWuwAwQovbI0M4acq8AQitE5fGYyDXSlRdoIFB7kqravbEaxWNm+8jQIFOQvCqpDfUceGekfWcyECK5J9mjFJFPXXuYnyi6WMxizKKtyMZPgKpkNmxGGje+H9s+aMr9gxKEdzJ2NBVRh0T3ETXK7FWMQMxRzCRr/6bE4owdSMPUgaRUEpdwzSbOR5asVZcURQrFe/nOSFse450d1SV91K7M0yt5UJLXkEY+V5DvS0ryCjKLz5SFc9QCXOZWV1Jp2znpY/xbIh9b+MaFtKRjHlsS7PzdjrSd9OcYeZhNA5U3A/0cBZZJDyZ6k4WSRxA/UaUSDiEMg5IHfO9KpCaLsQJ4i60vGSPI5DwyrqTmk15Pmnwe6FtdBgHoZvQ9WiqgwA6yy5Hg0GQ2OvM33uyWmM2ztkQVKUos0n5xNlXRZ0lf4RxNwQEXHRe/Ew3E7C/FGygAQcQD0T0p0GeVaEZ0yszepRSikWgrRd+dOo7Z3XDL7qb9Xi6KCbO4zApXXpX2NC/NbzBzeFN8PmbL+a5JUwlPiPCyt5HH+x+ShmkUgh1VlVLCE0D6xe+MSEuK2ijKJxDoR/I76e0pB6IvEOCKotkp2iuy4AqRqZCdaA+y/XFfJZpPCbR0OZjkUL8LoLeJdlAUaiDA8Q7aFzAmFF3cQQF39Jt4/BP1qBB/sNx9rDsO1hH7TKZpH1vq/kqMRX4nmpTv2CUiNIjQUSyDMAR2gddOON6LC/1LZAnpW60LckxYLNtLNKfr23PejdsQ/92k73CYvZ2xTHtO1yNSjiJS+T15/4MK0LQsheFAINIoJqLWPvQxrlNcY03MYiriD8n42rCjqtg5U0A9k6bPvQGFtHrvAzOkADQkkF+qPAlZtZhzBlU8RjT+x2Wg/fm+KAaIcjOZGvmwuPZVmTgqKPdUH8qLfLS4L+djgT7FBNjFwO2M7Xs7MpuWw7lz08FEX1sWp2QIJhHZPvtHMgFWsJ/kfoqlhurH0hFdjDL62hNQi8eOEmBEIJYK8/dHIcUZ9mQToO2JzE6hnJWrPArHRArqOOzXClGNtaGCPfilx6VTkglJimvSQt2eKiQlobhyGIL1wTFPIaQW/Eslkkf/ixW9HMIiqhyHA/kYdzElvBZgr43327hkx9i5fJupHYSp3vsktK+TnK80Td3ut8fXp6DeoGb3k8nMJepZsXejvsc++Gb2UAcQg42OSeUnqu4hqXoQlTIdBKOosJfEy2QdvdmYH3neE7mpTiIIydftqgvYR8AxnlCM0bRBQoBTCNwk8/bNN4MSpBlyskvSUYueY4Z/J/W4C8XZAPcc3Ua9hnNQisa75gTeq8sMUKghIAiq8MBIe4Pzsig0j+Rvc1W8J9ReKxZlNuhG6tNhRSZsqiFTSZnfwDDIiv5AxWQG50YInJAubajIjAmUtGSqLDPAHVOLk/iOfSh3hwgsMhhOVbQJ7jNZketwT55fk3fQOZVvkCngGx/DqwJ03kVr57eJHYmNrOwQGpj5r+SlWNSNnlCVGSjMwsOrUaoLDtNuX3YutUDO4cL2yqlA8X9o8xVpD+swQrFtLS997/VIqo9UhAx2JYdtGQdFBOc6KCXA31nHNAUa1dIGVJ6RqGBfZV+iUjTLFkwARR9jtYhpxnQaCVvn2J5RPZ2BPwb+schQkZ3JAQYZqWafiuaIiUUN3pvDZvP/skdYgzAMlRpd1K2pbkwr3pbfWwhsJHqOzRA36kqxlI6G/M76L3SkeE1FZ0ZQMA7U9VftNOuRg8qrlYOxuYJTOUOgYJyVc0q35Jz6NQQTVD09OYcbT+ba4qChMRLEpfPGIISqo8j6lD3Hu2MgjYEbqQShrlO9jjo2q/bvyto8in4NZ7YX1ZmjA8lAHv+ucE+OW1BnpvM9QHv5fHwORXmm4ioCOnSgFdWc9R757ZNnn4PBPvZBlzg8FVnHRfv5pBOSnqtLBdiDcFkE1XuyZFlLHXOMqUAXfifNmf2NVDY+9wibVhW0Q+A/gbZzDPO5abyvon3H1FCUYVCUMgRoGfxUm7Gpfaz0l+0Ba36EynX5vfkI5gUkP6i8zABp+pTfPkoUxH3wwfdZ3/M2qMwpzDRV7xaqowwEc1OdP5GO2t6WTsC6aiyJUH0NQJElAAl27KCJYHW+r+D+gXu4/P7ZpJEx2qcnD5lzEveO7F8EkLjKJujEGNYpBtJtdXNZ1oAlkEDRTmEPwCBnBvtb1ovvfU0mlEv/w21js280zi2OYyVlY4wpoZEsX0Sl5hdOJcN3qTTPhrGe+qNLspfY60rU6WC3ujjOVWV/WL+HCSUEVXpNoi4h6o3Tf6evPcC+jPMfgT78ZvcPpT1rtbm/z32HySHugD1WiPI/3Mcraqw9xqmM5zPAxPGRSwPUhNJPRz3Zgx+iVmMVdTwr+fk7vnsi+7namuxrTprSyZU/hfGBLZnqv2wv+zjXiSFq/mbqTEZhvKKMhvJFolOK9zEmUaKDQVlV8xjJWcZKufbzOfrrXCDsayl9Aj4f2+CiaMf3Yt3XSZb3QTAR5RQKa3ZgiYnLC7E+35uY39V58+bNmzdv3rx58+bNmzdv3rx58+bNaQ81AnE2S5jZLKGQYgEyLRQoYKR1BGgwqYJEAJImGtMD+3UJpSeB3KFIBemMtM6JhJ07DqRPQh3L31LVmAi5ATIhM0LxT4FSKsnfpqKCwVR4JayaGZRBC0g8IhIcqsOkNhIGrgrz4ttMSY9BYf3ish1yngBFkmhHE2UcFOUS2TOiqkjBVcZ3jb8dIvMWFu0IRwqaUGRnCmpAsgwkISP+UXZzQCXTzFmE4huNWVHSqakUTRh6AsdpIkuBXlQFe4/Qf8pQ1Ma9CF2/UppzKaiSHCI3QdryuWx9cUxVsoyCL9iNhZqpwnwRygjXwzVpI9pw0JNM2iMV4X7c70qGcqMUqRcjU0gEYj6wj+0CEIJJwBKWgChkNrNaQOHaNFCEVMumujbmqDEVzkEnmVmgNJxb0qF9Xhwm7dkmUvmZR8vhWSk+pKj0QCbHyMSkg/bv7axNQ2NM1pgAyAqicRRVNnrtDmFA07poz5AzO6nED+7bkXgTRwFrZroJHJ446Ne0+Hcio/S/Y07HOeqeXWM1Zm1zoHr1ZHrQlFIY0Z6uLDbp3Ytpz4K6MkYjDV1qywpVSQQOpxx+vwIRLfhmyOqT+jou2BFciuYX3WtM8XZShotAAO1grSNVGNdWlCMYkV9EF2qFbjkkbZeZeaJied9YlIc+w6xnz5VTGTkAkoFUxBlRQhgTIygbphukRTtgjfiZSsak0pLhb6I+NHOM7aQD/UtxmcEy0QloIvoGhY1SLZTRwNgiulb3VaCc0J97G2eRVZyjMnU5HgGRpdwAB62YgioznEO3kO+6eVnOyQNp2NkBPZXK8kQPW9DZMcLrLQA1vudtlo7WLfYBlsigmBL6L2mZrR0ijeQc0gMLu5ijtmSy5ZrBexn4RfEeIlcACq0lf9hdl35Re1HadXQV8zvmZYXUddAZQ+75HOOZwggzVc5AzidqK15XiXKekn2AdpGBZvMh5/8gv5/7uAhskG48wiL/fUs3FselJCYFGAVVKmmZmLY25EFuR4ygDAZhhWrPSVnkL54XZ4ntug01YAPBrP6IpYnsLDJaHr42y5tR7JTGOEA32vNxj8o9XBZsLiIdU2RHov9mIDJENGIf9H3Oowodj9+JOuxiz8N+QAFQnlMJ5m1ugGHI/Rz7Pv1VgjCpX6vYBw61dc7FLMczgtAVmQaucjFxmZdxTq5RvCcN6K1xjy6HnDeSDhQofRi2UZVnIeoQ1GoXu0K9AwsZtbtmR08q/wgOEsursR+mjucfKtF/8LCgRyB68+bNmzdv3rx58+bNmzdv3rx58+bNaQ81AtFME2Y2Tag6bcMUkTZArTnQZ2MUq81BrKDZPps+zy9JuLiHzMYYkeZMSc5h5jgAKo9ZhhyQbWkgyPqsxYcQNOuXESVIVOEQGQTW0YvReAppCaQTEWxjZFbSa/JMRLYN0EYltoEaGwkWGAVyLxHYkZ/8BiMWcz2Wd9Ztn0XODRE1D1GXsI3al9M6REaQ6g+3JeVJZB1rBLqyc0SqhiX5lgnK2/O5mYWKEIuuoqb87tOxfaiyPzBbxPoZQ4rRMDOEd5Dms65DlIjozFcE3lL8kKTBlqOUMbOQ13IC3WlNZay8joJPj+X35BqptvV8XvN8SZCGAVItdVSWjuumGGPMBO/yPUtSJJjCKQdJSStdKs6vf6cjUKNqIH1/Ky81Hq+fCpRpuyhZU6IF2yOgUAvyfPU+6lACrRfXFTHGmB4ypDzOEY0MIZdSXr7ZMBJvGUDERdUrBKoyhTmSc0HjWN4L5xaF9EUdUZXrAuo3jNo7Qbu9fXubpeb/qVqHSKRTMCJGnKlqK8iaEqHDWjH8YKr2kuOYKKxx3p5ZZWFrIudYO4YiJvHwIApOiU44ClUzgxujzeb3JHIINeZQuF9lcx012wyetbdmn/eHyDTHGXaXAATRnrk9PJM6B9emqAXr6eH5iJ4kokUJzEzsbacwAYuax++Gz8FC/T0gcIiwVNcGorB0W85pPGJHCxKlSNQCa1IqnTeH4A/7x6Q0/7CFigyUYQ5opA05N495abwOn4f1j+GfsP5xAn7IZBnrJ/qeWUWt5bF9/A2XiAJAcf3S/JpTdhTUzhpiHIa7WC/W8ZJYsxa+LlGjSdRHIgqCaAqOFVVDEk3rQzTQhr5gX+P4mACRyr8jgsIlRjPCcxBZRTQX+xuRkWruIgsE6JIRRHNicaN4fE59EcQHtrBuTCrQc5Wug2mv49WHEBQRRazpyvWjuw4UMZF7XMvQNUqol9eLBDXHfU4s9vbWH7HPrVOMTzOy43PU+kwRA/ZloH97m446iWibQlVGvw9R5zQkEwvzEJljQdbhz2F/Qv/2dCiD8tH8vrFZF4UgD1DgNASU6hgTQxUIw7j24V5f/m6IiaM7skPc1X4ZvmumCjFAzOmsD766Kj5+syd+OoUuZ6xZiNr7ZDOOAYfORijPqWMPqfaWSpQE6wL6Husfs+9z7VfiI9mzc5gx+lsWM3KDrx5KncudDThvsIPOvMMpMZq29IeEw18jQg46m8pH4xyhXhmXFKxTFPWjPzgEQrd4F+t5tG4mR/itAP0LhygK28vxRn+K/kxOynWqWsRk6qw8Ly/k4P3QwMD4L0BgiqjJ+F7sDyPsE4hUpS/YAYKWe7VJZf4tpwEd429vD3UAMRNMTCoYKxg2g1Hs3EME2whH5vks8myDFZeh6NTjRgSwctJuh+RU8HxMcIRPN9vy9QMoNasJhgsaJnw+awpUI/UOooACVY9nEH2hZVHMlfdXYgwI1PH3fAnvjosxApRUJlaQaUyapNjOqnIvKiLHkyyfaYgFl8q2pOkaqGDR1PMhqMYgNeniLjp4Fn2SC3aSTkL0/gJ8owAbmtNTWVhnDPQ6BriaDLhZofgPcOMzRgf5DSgAg282ekQWd1J144DUZrpubddGWgJsF0Ef/qPOpcVxKSvXXk3LzEcKxPFEZm2qEafQlhr4L3nM7AfY8RexGnNRj2nU6zm5fwsz8k7+dHE8rsr9b7ck4Eh69BhQcd7nBAvtVhXcE1gPMjgtzAu5JWkbxVVouWDer06acp8xvukQf1fLy/hvQ0Sptir3abQgQAMhooSDN8vxHItETQYPvih9r1tiMv/PpT5rU+al00PnkUsHaa90JBmcdAUtA4qoYEplsCvdt1+T1F8WvO/GgRy0MSc5BdM+b6fBaPVU+Z1BSwYfSIHNNPC3FOHAGq6cU4qoOERi0tGeg04aAw8Uphgs29dyqiezvS4ajBaSkWMGKxlQpZPpUnRMRzmOGWqTUAiAgRglyEHaHprbPocEIN4j6aikM7Mtiv7MWBC+MSmzfL64WH42kJtWkZw57WBjCP+LQo0sfUKRhN5MGjYtwufCmpxwlIVQJUa4PjOYho1GKqJXMhHGtTzhCMKZMl421T6XUKaEIoAsiXIsL3IEUbZUC+sHlR5Z3oZiQdi0Zg/nz8q5hXORSg7g+3Jsq/IAnAvaoKwVOSjlkAHHcYEBVfucpqje3EzGn372hv/19qa2/M2OSacn5v4P2BUBeiv2oDQDDuwbDJxkOvYNthIfYYAY1ymE8n9iv2mQl87QaFXl7xDEYZmLAkAjx9g/hHt4EOxJ2BbudxID+LSYu0dI8hqUZZimkcxQiZX5vcYVGZBqesTY7wyks6vAG/YhpZxMtEcd+X4fWb9lbPb15s7ieCcnPjODhgQGrAaSXP+/9x5dHD9anTsL2ZT83clAJhEmwncb4hRxPxXiOXJYD8YZeXdtzi2YaCjOqsoXYY52KTvTB+5HMQYK5hDAwlJZpFmzDIwaB/jWFORR5UbgB6S69jGRdExg69hjUGiFe5hYZfq0h6Ah9wNdJKsYZcK4aYvWjhJlY5kZpTAMP5JNH4LCPEM5jsQBgFIMvEVdvnZdvml7iyI5uD+CcMqH4pCULq6SHPRhllDyoHlR2nJ6BUFDOCC5Yzm/s2WnpsfzEefLsI620Jcnhgh+yARJjrh8ScJBy7eZpzB78+bNmzdv3rx58+bNmzdv3rx58+bNaQ81AnE8SZjZJKlEDAYUuABlIwHk1QjUvjyKnZLCl7JkkYf4u6SDdqqg0QegKq5KFieJrC0Lj477QPGVJRzdbUKsgPRAIABphE8rynGEwkyuSVuUWAyuR+QwqdikKlNMJI2sFjMtaSDxJoCcT0AnLmxKBooUYoW6Q7HjUQ+iNRG0nEhKFWEHcpAUlxmy9KS3U+xhigxQGv1niO8xxjXHSK8QwcBM1mTE55sfD/DMJRSlJWKB771/IvefngCOvARkHSH0oFaTsuBCRDA7lj7E9R+R71RARi4uiEzRDtKQu4D6XA4FgvRoVmjOJ0AXUiCFmcr2xE5tZkHm6y2pGPx9SzcXx8uszA3bKdQXxweD0pl/Xwrk70h9LqTl+QMUIx4DstDH+Xw3zJASSXnUkvQVM+OkDTd78g46KKPA8VfID9T/GmPMDPMc5yu2qwFkzmpFvnU7LX0gRBY3JH2hQ9ibHE4i6v3UIxAf2BLjOcJCoQqB2CEqLf6dqDwiLIgyJq2XGUl1H2QtSVMlKo3UCFKbJyGzvPJ7AcIFqlh+fB0sNn2pcGCyR1i7kPV3CY4wK0wqi3EgUVThbjsg3Qwp4IH3x8z4sBpdI7A/c/uSnTapCuKX7N8pA3iEoigRTYpi+Q9UvJyQC9hgKepLoCEPgDDl81FUg8Z3OgOKpnRTzq8/imclqpJVDtiviK5DZyUKSQn1ROgH+msZ+HP0/2jdQ5l/M1WZO4nsV2J1nOfIdHDk5ZX/0cYHyaITA7mxcBs68hvFXYjkHIGeRxQLUYFTB+uD6MkxKJhk1kxdIljsSng3bNtgZf635VdANSsCobNi72P0Q/g75zrOMzyf8wL7T/6utIHUUGXslCm+g4j6Fvc7X5Xjga3xSN6kgqyaH/qY06GDp1BVoTBKFaJnguETcH53lMPgGld5FX3mwxgT0bzbI2sK35/35Hq0GshccYyxp9YazD+8TgIsleDUTr9OwDfvn5tYz+G6Gs+FiTzK3XSBsFJzmBwTjV0BI+jmfeGXPnNRoGJpIgDx0T5QEWRiFqjDBkoNhegIFFD82Nrri+NYBPEYVOkNsIPuduSe3G/RuB8PVPkfCIIAnd7owgdekc5H9CJRijpmAPosrp+K9o5BhhQJ9DvOW9w714FOcyCzicJXlgSbEuwGjomkg0HE/QwFJYlGjP+2DTqsYoLyglwnsU3gXOCi+Co0OJZYjR53leywtyFm6HQ2IVgz4ruw+8m0HBj7/WX8JWMlIHcSdcitKEvhUFRqSH9Qoa3lON2f34y+I+cEUsGVeBXLtoB1ZqL1nn7pm9lDHUBMRP+pOn6Y8PsIyLFeFykbVGdmDTkGzeI6goQr02Zdqn2BjoragQwC0CHlZJRG/T+qSfc4QE6k0wcX5fpUjyLdNptHoDOCq6oBhzo+Y/T+GQJ2Gaon472omonHMtInm+igDM5RfbomM59SW2Yb4IQaLrr4xt0omEZnN1PGrIpvU9yUxYf08kFD2l5alhHapoIX64Asy3sfNEGNvyGNbK/gbxGwnQ7OBjRJyVb3hDHQPUBbwhoUfRFYpAIlgz79Izlngs0C6egGwahxEWMCjkyYRsA4mp0GWNm2MoLrfr4nWHUuWqtpWaA3ErIjZ01DOh21tMyw94eCZ29gVbxcFArxq12JRlzKiYfKgCbpYWshIiOR9eC13kUtFj5HFu/ifkfO6QzRN+A8kOrQ7Mv3psJ6FwrH5Zr0yeaxbHLzqN+jkxjz75CFQ8iESBrHpCCEcABafdQ3RXuLCGxyrJIu2EKAvRiVM5hol8Lbt7FpdmZMdqY24TRVDyfqPkrdl1SvDJwLUCTohLrqC7qCasqRm9odHQY5+6hvQ3p1rPJKmqxLdZiKsC5qWvVl6Y+HH4IjDpojactawdkRXKWSpt3HXLwPvhequqq6bnASp/w26rntNGtVvgRBPtJm0p2k9XwanXg+R1xz0uWoU1CTNQqVojeuRweeQUNVf2/oeDeklzv6oav+U3Ayf4BeDXUB4QuOQTM0eHdZrOt8darWM9bJEYJ5OZRt6WIdTiI4yFrHoxxfFNp+inrekU+TQo3CSQ0PjfrHGdYohY8xQ51c1m80DMawi6O/JxusySR/S+XIYQ2+bA7+XZuc4PkDthBIVzUVEdBm3TZXiQyO2xHOVwFMbMpHoJoPluGPUg0T/ZkJhwEClHFCJR7Ps4F9fvZ21ibZhDFBQqtaw1gfk0aqcFhHgvoC+gzpvqxNZlkn3/i3NfSxWJmXQRxjH6Zqk51BLTkDCuW4gPmBwSX0qQzrnGNMMvCv6vwiwcB5n+M2Lk/Srcn9i2UZNK26+HxMHrBm9q2GREUubolPfadZlfbC5/zBlZfxOxIFCDHc6YvPTtoyQTT0q1ei/cHhQD5qEyWFDtvy+wj7udUy6o3PctZzWP6HYAgm0ZncP+3IO2Mgkoq2CYKBkCCqRjX2mcRiCYkJADGscTsFpZ0JF1eNYhdllQnfqSPiw/fOUkaMTxw25X1XC/NFgPEWxiBmfI6Q4BS5J/1RTvWkDQ+QTEja8VLK5xmzFI0K1OM60efuoZxM8b7dz8sdYnyixJ2qRWqPx6s5jWvmmFt8hji4rsFH0+8GSeeoT9BnHjFAjN85VyiAGUpbZaNakpO+Pc5lM09h9ubNmzdv3rx58+bNmzdv3rx58+bNm9MeagTiZJw0s3HSTBFqHraA0IPABbOyNEUDJkUIKL4YHk1E7AhUUAOkCOmzRDqSOspMtKJFM0tF5B6umYZiMDO0LhSmEmyJ0GoDZOAZmQ/xvnp1IApTUDgGHVaF2yFQwgg3Yc1KLAXt7VsUr40xJl0EgooqYvw2hbM8EmZCSkAddqFGnCe9E8/E90iFY7adaltTvrPzgI0DzUCKNJGScaab6LAx+sCUqspTe7tIhx2R6gR1sMGQcCN7usSlMp0GEpXFfpl9nJiYig00L3ITLqryqwOhG1eQjiol5Zj0hqOx4L1v9CRD+khe5K7qSN0UAesh6rCJFFAT54cRpIXZOJX9BKKQ5+QB7X/5QJ6pWgFyEMWq+e6IXpxSNZT0O3zjLNTctfjQWeQR+xULJje6oD5jXHV25VnzG5LF5f1HKAtRAHWHqMMMsqsxhWQy9HyvB7XEKGGSqYRWgDt1oBEjgQCFmsPfEZmQoGAQqBDMXGehHNe6jPuQQkMUH9BDpBOSBqtoKJj/YjXnB0Gl8JkUDRiv5fgpIJBIAXOw52PKrjHGBHUg6nL2bDRpdjZ6HNF0TlQn3h0LhzfxrjVFHH+LaXziaKOi9oAmRXpn+Yb83rwE3yUC0fWX8R2phgw6/AiFy4NjIA9Im0YWnahD9oEUxFiIjGTfJ4KT2XgXMnES3WtK4TMwERLwGeifcL6kWFRtRT4I/YPlsgwiiiEM2rJOBRCjow8zgg9GFNDwnAy02NfqpyF0QIQgad5gByhKMgQYqLacgEAcETBBGT5zFv4HIItjoA4TuCbRUdM8RGha83OUeA4ET7SaNtBZTbs6NCmupH2y3ACN4zIAJTblmKOoPq1EjKJvvEC2eVD9A9skMHMlD85VOE5zW4H5UqkLA66jUDf4XlrVHb87RKQ45mMEntorOkoslG4CUf1+tKtu31JzH8Y5lb+zZAjnk/x9OW5dQwkpopdaGNvR8yWbYJdV7PNDoWAXy3x65/7ieLctrBqiBVey8BHxUr/WEsbRD1avL45/oCIoxRRgvreGQlHgdWKfvYYyQt2xfa+4UxPGE1k9y0X5WyWYCIjnvdPq4pisnQZECGso6UNkYv8F+dvxDub6AtHh82cdwndmWatwH/GLbXRsBXnFIUvOYN5i308oBCv+9gFA092hXKjfA82XgqzRszDGMUSMg4JAHDcck/SnuPaz7UrBGe+gt24fT3RASO+2XVMJDDrEl7pr8Jtuyz0HFfQl+GtkRdBH5DkL8cA3nE8latK4FZIQCvWD6vx/KcBHn4iVWkK86xYEhYMjCNVamDRvZg91AHHUCUxyGpg0aj1wg60UklBDbgAaZwbUk6kjEBgHgOiwFbjZz6HTKidUBl9aqfSBgosBypplzV2MesDiS0VpL+s4DA4AsV6VtiW4yEQTQKqEZwO1e4R6EeUVTNoIvHGSYKBggkWXAb4cHFLCvYeon1iooCYjvhkn2TQmL9KGM1EAb4TgVgH1Jl00GBqvzfpIigqEtqfQZ7gBSVTt11eKi9wsW/C/DBYnLX3QGN1/CMtPbIAyT+VIUpuxkQwK8m2GHajHOZSl6S8fdhBsima4Wkr6zB93zi+OH4W0ai2FepczcUxY3zDAisPFOomZ/b2lO4tjBi4zOIc1WhhY7Iyl/9QR2OtH9frWUGclwDVU4A91Qhq4Ble5EgNsCD52Ojgfi4xyJrEwd1GTh+OmWoGCMsZoPO8xqJhC0HuMcb66Upe/W0OQmjU/0fdY8oHUnSLGRPNA+kacBGBNTm/f3lKDuVgd35jaGFnUVxkA0xRc+zW4kSa9gjUIVR0xdX87PZcOL9ugKKs4fxIFGbj5oXoxn5ObfVIYXXUX87sIdqEWDANTKtjlULxmQM5VNzIOehTvyLltEaLUtCGu/Zt2Wi+fiQ4mv9NEOaek8CFoiLWGgeTGZXtAbvEO6FjjeqqWJIIyPEepe3NDQwpR1x5wDOpyTNq7qiuEfqsUuJVaduKNzdXJMtZZ5vOzRA3p86yfiHmsFMqcd/tE6HnheVk/BqBO06dMZek7wYln/eFoDQ/p047tftashZdRsdfaSmBDNYX6Iq+vanDh+42XcE0EY2cMDIfcKeIFJqPSORwzqTf3y0hPzu1ho4rxzCA1qdAcq9kD+BAIVA1Qu2oS2tvDsRXfK54XXYkJbxabmfmAVAracszvyHmDQQYmlPL7mEfXQUW8a/+dCRdVHgH9NK6Fd4ykMScRriPsX6yNzaQN5xkak3QMAjLAzvmscwEBeyamMFcohehoKpiiT/cdNRAHAXxBUH+rgSw20wLGAAbxciALMQN/f2n5a3IO9gRJvMwpNj95DMo+wED/3/sfNcYY82RFAAhLuOeVmnQOJvRdyX3O48co3cPnvrcrxfgqNdCsSWufYj3YZiFK7FcRQOxGPjOTUjPsLYesX8vFzpEsy4G2TMqqKgvBciMIRo0E36D6Pm21iPcRF3g2usRRbMOm9CuW6wgP7EF49uvulhzn5ROb1FD+oHJT3vXJNXt9UfoEeZa6YbWPI+x/ClE8B0tauofEFdYRBiEzbblGv4oxT38cj12+xfPRN1DDVwXrmKtiaUJHXcP48z1IuRd2KyY51r8KgM7TUVDYQRW3macwe/PmzZs3b968efPmzZs3b968efPmzWkPNQIxv9QzqfxUIdvGQHvlIErC6H8KGVpmnUcoKKmy1M3531JJmYVUiUIjUiwL4QuFBiKqC8i5DjMCiOanIIjB7IpSnlqT0DvpLD3AkYMoQ8wCsoqyC/g2IfSpDDMkdlTgCNn1gIrBQCwRUahQeTCKrvAbpFKARCPTEwu8jKG+xGdSStx470RVEq2nvuUJRVSQPcN3CvC3E4rE4F4KqZk6KypDxS62kcI02XX5vn1AkBN47y5VbgqqZEBtpsq0EhlyUJtJXyf1dkEPxicl6vBb3e3F8RqgT1uZ+uKY2cmjsaRZXuxsyjULck1SIE5QIfZGWzKIH6gJSvHrx0Kr2CxIG1iI+UJ1ToN46VTSdFtFOfcI5y4XQI1A6iibtX8DRYHHuCHSkAjnHMaoopejSxKZWAR6uRUhHHntPmBQpRKgTDBS7BqnyNCCwkfRmVMUnCbSOQRtLxZXmSSQRvP2bS3dNiY10rQOUoiHubOoMFJZiNrogS6hwNg47m7iHNaDpwpy1dFYfPcU0IUskD0GgsGmskrqFucQRT1s8D64NjPw6O9KTZqoQ4LMSI9hYfIDjJtVZKaROe4ikx9nkQcCQlPIQSIjaXxHSQeFhsekWfLdqPN5KyJgSB0vnv0G82tG7aLKN6im4ZGdlgSQglLU5XUocMHC7+xXpKaSyqrbI+cQtcBMfvNK1GYCLBTUUp6jcyIdhWspEXQHoBtXlmTebwF5Tl+MPmARjBGXUugoB2qbpcwL53+u2TMiJqmwfCT+wQzCJol1UOxwfzI6Eg4GhFKQJmMM34l+Gc+Jx/cMiKgkziW6WCnLQjyCqDSlvs3xwXMwtonaUEgtzAuqjAIbj8NCxOqMKWgutIe3s1a5OTbpzNgcP87JWA4Vupp0Y2d5C/QZrI29VTu6euaAynA/FVM3J9gHJjHeuMaSNkjK5wy+9iTh2ONQiVaJqADJfaoG2eKwD3GK7D7XVcv1sZZzriB77ly1vjiuBjI/3O/KoKHy8Z8cirPwI6svLo4piFhNyV5liIn5ZCITPEsc0acM4IB8dPk1Y4wxBxjAX759ZXH81IbsB+6DZt3FnnMFfnoAxkx3BGou9lxhUSaIPIQBB2OUwFAdC22HGGaI+MCCGg/EeBJ7ZAMWYpL9B+UnckBRK9E0IOQ4bbFEjavsB/ctpIZTIJN7dgqPxvtbog5nHXlH/XXQ5G/ahavoo2nFYOxLHc+RQ993zR0UvW5eQFwheqTirh1CzvkkfwjBywsQy1UsILTrQI57y2fvaYwxuRMgg5fsqHnF/sHvSkU7+kws80Dfiv2BzCKi+fc+LG0M4yoAb2Gr5hGI3rx58+bNmzdv3rx58+bNmzdv3rx5c9pDjUAMMhOTykxMHTUNS0uS/VD19JCND0M7Soh1CokG6jfm0Xki1Vi7UBezTlmP+beq8gCRjkQSIOObZp09R00/1jXj+ayr2O2F5o3GDAOFXsrItHcbdk3xXBnvGs/KFjLrnkJWhrV2BqgBRAQXM0MKwVlFzZ6oPUQGtNuocanQoUCYMhvkqPlHFGgCzzFgEVL0Nxdyj89Ki/tEwlEMvbCFwr1EiqJ2Ifs10beq3lJo7z+TXUlnpDYh+oIMbAYZOdZOoYDGXgRBWUKxDR5fRFqE9QoPIYpSSkoqjbUOnyyK0sB1VJ/dAJKxhnt9ZPnm4rg3tWcZ+xNpQ4w6NEbqpWRRN4XCKWslycQetKTthXBoPa73pR/W70uKLb+KtBqsENgRy/uH8rchBHRcNUziQtDMoPIaG2sC52oP5PmYNZ3kkXkEipfFpznm2WfKVaBlo2zwZORFVB7UBjVjUtk31HlBEeZUSOTBfDxzWVCZTNRVYvZZoQ5VrTw5ZlY4wP2JFOPfUnyENRlVNtWCtCMig3WxmAlm/akRp1MMAdZ1DGVYm44AoFUGnCgP1lVk/UKKwYztpU4Xx0o0hGgrh7gKn4n1eGhKOAXfVQmzKIEZex2tsUJnEWHlQAzGf4fsNq9HoRXW4mI9IJ7P+oY0hY5A34vFgYwxZkRxDPS3YRkIWbQnrtGZL0AcjcJOEIhTCEyg8AuFsz6GMVrcinWxWKzfZSHq5lKMahra5/FhhHrZ26vKjz28JKCREqgDXgTSsH1bOll2FYX9gYI3QEnSz+ihfmMZ5/RR87t7ADgMEDOJPvzBctQ2oq1QA6x0Q67XeA86TQ8oJaBmKQbD8ZRug32EOnONa/KsE9aZw7jkXEDUMZZ/Mwnm5yzmPAc6zttZO30kbVJhWqM+OYcCSaXmQtYIRJcN2vLHLYgXlm/i9x3M7x37Okg/Kx4Tuao0ZnQqEyDbS9R1F2IbiSEYWqjty73oBOXtQ46JkOgz1MijaBGQ5EOIgHG+jNfN5BHqpdbkpZ5fOuvzGmPMciiL71ooCz5FB//nC88vjp/I3l0cZwFJ/63Wk4vjSyEGIqyK2ojP92XBXc+IbxrXVt/GYv4jF0WU5TdeeGpxvLMpkNAK5kX6yLstmQvLWfnGt26sLY5DfHt+M4rHELmXPJXONMIeca0C8c4IocoVgvv12QqFEeUcl69QuGev85lhTVEg1ehHKeYA1qBiRtpwin1LsSj7wsYdcfxG1flFWXs3VcX+BfP7oAaUG9gxLpEY+jndNTt6sfai/J+DD9ih4EGTCHaM/+jV92pgVOD++QPpP60drGNYehXDhPPYFEwP+Lr0DWPxwDf+zrlRfTMcsw35qN5rZxtrF2pH5w6lLR0h4C1qRBuj2T8L/+8tIBAf6gBibKRWkjqag5NEx4g2VrBcvEzSTaJJm4q3UwaUBvZVkYWqCwj68D7Tkj3oxPvzmA5sr4MgJgJGpAGP8D7iQBULgVN1ioEsTp5Zx/ulsiufSam2MrDIyRGBL63ULOcwAHJ4KqsuqeGdKLi5uSGLTC/N4K60d9aWiaYAldlOQxZIvmsG6hgg4ftQmwvQ0akATprCGG3I1ObPTboqaan8uw6+NQM0HVCxGTRkX2V/4HcKd+QdKEVvBFcZoHQFrOJgYR6e34sdqZB7Gd58DRECBhCfa11cHK8iWrGJned2KMdFVLclzXkrFAdkF8IpdJTyabxv7Kz7UTHsEXaySUfAnnD+Ajf2OJ/BNqXGiW9QyqKANGgSpP4Xy/K3pN6z5EAug8B75OyMHMrdnGcYtGz15drlvNzzCE70clW+H6+TQ6BZlZSIHKXp8LtiqXlXbBrOjAlnKtBDJT1SN2PngY7F1EX3U4q+DhEDUtGP7dRRbsBYwDpEsI10XlJMbIXB2UYVzLRPN28IjCGhBVpLU5hOWgUQ3ZDUDzqtFDqh8jCp4bxOPFQZwCR1nFRll5q0yxT9mcmiAhKMKPrNYC2DqKQ9MZg3Dc5urNmXGGBjH2SAVKmpts866sa8QXRAqkyY2rfsgQC+J1LNSSOn862UnSORliLW1TqSigUIxA0xL3H97HSkwefXZHNK4SgGAbl+nnQRUCCtDOtBBwJ7TDrR4rmZwirL5+uLYxWUwJzL5HZmU3yFPOZ60i6zpOrhfdAv4/pCilt6EwJ/2W+/8zhsyoCbhPIuGh/AOol1aoBK8gnMVypuh9+ZouL4N455ZFIAIABzQeGGfNf2I/BNYzGYKLk/7XkVlQe1SdYYE75BAAvrVAYBQYpIqTkE5w+qCJwguUWBKAogxPRzY/TaRJ8nHkNMxOu5EG2h6AtVm0lBRaBASaLiOThuXSIqtBnLNzXtCbB4ru+vo3QR9jUUSLnTri6O17OgIWe61uMVvOwhJun6RBaYC6EABhgopKBKFpN6FoIjLE30m41nonuKz0lwAUvr9OAvrxWwtwNVmXNbEuvq1nlZ2PcOJEjWTknfWC5hzYCfPluWOY8lpPhdY2PQMHlTOpASYhnbg1pcA6kMzLlt5Ej2MRHMIOPQsc+hKBAtvUxx0vn/TlA6jOU1mOhSZSMcQnSuOVoF+5HAbVxG4BbPrYKoCOCVbwFAEgUOWQahuIt4ThljEmM+CT8ueyJz/+mj8qy1P5EGtB6RMdG4iMQCxuoMfhnbrgKUpGXDx4zpz/Tn+N1HmH8Y2Jym7b5bL6I5TzFvvpm94xTmf/yP/7FJJBLmp3/6pxe/9ft98+lPf9osLy+bYrFoPvWpT5n9/f13uinevHnz5s3bn8r8mubNmzdv3r6bzK9r3rx58+btQe0dhYV89atfNf/yX/5L88wzz6jfP/OZz5j/9J/+k/m1X/s1U6lUzE/+5E+aH/3RHzW/93u/9x3dh0iYIrK5ClWlqBnIvjrozERbhavzkDHRbBTPIPXPdR9mmVXhXmSLiX4jOIGZ44N7kj4LIIhB1FixZIdhF3Pz808OBUpQWZawN5GDisqLdrWaOZyDSDaeie+pD6EFWliwZ92zyHpPHcXDiYorRWg8IgPyQCjW70n6hahDfo/8qhw3e+SpySFRYBTQSeG5+0Adxu/aGGN6FEkZILsZ/S8FSUZpZL9b0pY8vikRAB2DLD3awjbS2MeIKuiNpI1dZDlJQecxixBPolRSBinanaygNm72lxfHFwHjIWLxmaIInuyCH/IHjcuL4/eXby+O20hHFYEovNtHehlGBCJRhweAHsTUZWall1Bw+nZD2jUC6jgBetUBkLLnV+UdkC5QyYFiBgpxOsl3Lf05h2/JMTpAVpvolkmElCBljmhhIh35dxzbM/S3c2sCZVKoG4x/jttYxMUYEWyZpN4CLv7Psb0ba1pynIj+k9+IRCN1kyia2NKg/jHLqygYpDYHTHXjnqRdQEwjQQEPUk8wdRL9QTrNBMi14u3EmTb2hE2khU1QHJrt4jMBxKwXUCXMgnbhOsz+zoCiG6xgzttASRRkxuN3yUw/KXNsr2oX6dd1tAtZaaIwU3BVJnn7hRRqAe/PhWbNgmEWF9pWtBZQ45QADe8ztiNnxnhHCr2I/nb6uB09SSONfEQBGFL8GyjFsja/UBbrWyZjR9wVlViVXK+IMin7TWn8UkHWA/pI7b5dUIW+KVF/9D8a8JHou/SjF7i1I+sIi/mToVEKUQKkCj8A8/tRTzrWRlmgDHdOZM2s5OX5yGLYx7pGOnMZa1kBVet533HUcQ6mcg36KlmWZGHpF/RDojAToHoa+FMGFLpZB52PzBeUBkrib6cV+EIY5+zbs6jfpiKqdKL/juMv3jV7p9e15MiYZFKjb2ijoh05GIKGOM3Yy0lQSIJ/6xIf4Dw9gY8ds6KSafsco8UowDQBanYEfy5J8SegFKlJyb2MEh7Czjy7jz3lDhuE58D7iK+TgFjochklnkbSxs28oPheOBXY/IWS+HyFNPYyoDd8sy28yHXA7ymg2J/J+ffgdxeSck0KrfD39xduGmOM2R3J/DTFIrQJgcMuFpvGUF7GEVDPRBGOcZ21PBCO6/Jd794SPmgR6OoW9ogsNcY57bQtHW4QiXDRXx6VwDA8RAwA6+1gXfoVGSBkQiy9JN/48L3Yk7HqGP0GMgGwlpwMpL1sO+MjFD6NhYbSBZQ9QtmKVNvuKxHFa2b2352sGbJHMJ7JPuCYI2K5dY5I3/n/Bi2sQccQls1hT03KN75BGnM/6caDFcwnoArzHN53lsa6hnuxREMXwlAAAy/msSS48cpnZykjrGNT7CXoc8VChZM/DxTmdrttfvzHf9z8q3/1r8zP/uzPLn5vNBrml3/5l82v/MqvmB/+4R82xhjzhS98wTz++OPmK1/5ivnIRz7ywPeYTJLGTJJa1RjUQjpyhBRTBZVO5gS9lTUP6hhQNnMFKvMIInGw8tqklBI6T+oLJ6z8chfngL6VtQdO+YHjQGQHFFwGOStwjhnwoDE4yfuwfmIOk04KEGcqDCs6OFbOPmDefAe0AWrzJPPzZ+ojAEbLrcr7UoHeqf1buwJ/pGLTae5gU6AU1fBMvTacCmzk+ifz0d7H+2KASNUrRHtJsc3AG+nvST8NzuF3PAcdCZqC96MWKNW42Ta2Jx8Fh0Yz+3RC6vF/O3x8cbyTl98fyYt8FZWaK+A/7qL4Gn+nitvhQGb5Ihyfex3xGnMIJpax8WpGqpqkD9MxUUrKeO8c2/yd/YGJDQb2OgnpP+yTVA/P5uRZSX3jhpd1WeK+l0a/HpO6jnonvE+tJo7UyTHeI5wnvoMq5os+gpnTW9IPJ49GKsyOEhIPk70ba5oxc4cvmdLUV26elEXjk0qmpDmwXuGUtNeunQbzIJZxUGaV0C2XTFKC4ez1I8fIFTji7wyqcbOkAnVwjPg+JqjNSAc6aCDwBedNO7wuHjUOh2f/TgUqqZzHABs2EX1QiflMqgYY2phCkJib3MoreL/LvA42vC17MDFWPJw4avJxc05qN9toUwk0Rm+OWXtOUenh8LOGpqoNxJqUZfhRrDMZUZGZNOH6zYTsAL+z9MJTK1In4L01qcP7QkM22WtZbDyhGHyrJRvejEP5kwG5K+sSHc9ibYjrUh30ZC4+V5QSHYcICHKtKWfsO4DLlWPr70yusRYWg4BbBZlUSH077ssHv3Us3PQC/Kj4O9Dv7iFwk2QAEYli+ovpIgKSUMXmfMJeOwMdPdyX8wcb8PdZsxEBHvYxQyXd6FZxvGNmd5EfOns31rXEZP6fTrzIMTf7VCntrtgDbMhPv6GUAW+Ka6IeGBNwY1udDIcyMtfgwl05bm9iLkZQWtGK4UezpAd9vvCEGRo5JEXTYD0alu1zejzvzlC6iH78rbrMT6tFmcNKqGvOgBIVmTk/faR2Q+6JRejGQCRfu/iwrKW4Ecp88lpHzn+6JHNtXA+R5YoITBhhv/5SfX1xzKQ4axFyT3bckrlz7NjrJkBHp48/uCd/G24jKDm2X2cW7+sxJ5k89lIB1y7ON+gEWCa5DrfOY+DAmBBVNZJJhcZ6dNqTQdRHuSyV0NlFkmx73gjO1xlQ0adHmKP5GAyM28tjmsrrsh4cPyVtUfW2GcxjWRMqVGOrSzXnOICXQjHt5gWUMsD3yPSwb0Iyo72NEm/HuM4lgIXoG6PtYRNxEJRf6GxI/6E6M4OG9H3jWD6fmX5nQF+TSWl8A5ZBiH3BiT2UYrV3bFf36U9/2vzFv/gXzSc+8Qn1+3PPPWdGo5H6/dq1a+b8+fPm93//99+p5njz5s2bN2/fsfk1zZs3b968fTeZX9e8efPmzdtbtXcEgfirv/qr5mtf+5r56le/eubf9vb2TBAEplqtqt/X19fN3t7emfONMWYwGJjBQLIjzeY8ezEaJ810nDJDCFz070poOrNlx8uTHsjMghL/YIHRCMlIAZPRGFkyqBRT0CVjUCj6JcnOBpck7Mx7Bg6qItFAFCsgso3waKIESZGO0Zak8LRBN1SoxxaUjKFgyL/l+UQaMmsxAbW6AEg9qbR9CEPQCO+nQjYtLtx93JQQO5WlJyfy/Olz8t5dQjJEdXXvy3uvnJfMP1GH9WO5bx40Z6L+MlkUHb8AVGqE2uQ3YpaewjgDZIWIuFXUcVB4iCjku25CibsLFADbyPfXJ8UeypR9UuKiVPwpMowjpOdZBPmDS0JDPh7Ju3u1K9zFc1mhT2SRpi6CBku08MFA0BxE3X3zSMRVLlUlc9lHkeCDDuaL6L2ugOrAeYCI5lpJ5haidQfHSIcv1ReHHBOkARPRp6ju+K5sA40CAKcdyRh3onkhHdrRkBsVyf5OEkTiAs0BasZRAzQQIFg5Voikrjwh77rZnveJaf/hLjj/dq9pxrjXtUl+ZmbZmUI8MIPJDPQCRYdvQcQCBVUUZQSfQ6G6CkRcyDmkhvCaSvGZAihElhFkVgeSOkJQuBB3RPgokRgOB3gwFH3pr2FeJOINiCWlcuh4Z6UbQHxU5XcW7o+pJETTsVh4AIVXIvQUvRx/m3QoxVKkhehUvrMTEaZUGX5e05bFNsaYWUztqduvPagaq+UhUEDxGPYNom7SspSqPk61ZT7fBFUpFJoC6AcldhChgEhTG4LSOlK05bPI7Tca169rZan/tgxYw+FQ1iCWGLkJVB7XFaIOiWQc4gFLETezVrYLGiyH0mlPh/B/8BxUVr3XrS6Oa6Fch6giUgQzgDMUMxABI7LegXZkaY5U5G+TmUIWyagHHxxK2FOsKROgqUzKvk5lbkrHHp6HrwAUGRFivI5xoEU0QmN+fkw1U3S8h9Terb1aYjb/L9ORd94jupBQFn4WR7mK8cD+u0Y6o10V+xqTAmMk3s8kXsZYAsqZ91ElGU6xDzM8B/2OfZnK3mCdGay3LrXaJHzHMZD19AkW/Rc0y6NjaXAJZXleuyPIvacviaoyUcmcR1cwVxFdOAEWiT57HtzNJcyXLF90FT4HkYyv9udtqzh475zzuCfLYY9KFPoQfj/96x729Z0XoPC15BjgSxDXJGOOAqMslRDtXacoe5QBKnq0BDYe6bg9O76LFHxFe2fVBk7L9NMxt5E1xDWLMYbRq9JvZuekk8UlJRLH6PtAY2bhixFdTB+GisHsv+kuSi/hu+LVaF8M16RvU9iz+3qxCnIayMEEhQGBOuwpFodjvoLRPwF7X6Ot4fP0oQSd7mPPV3T4Nlin4ucmyyhJ9gwBryhbO6RwL9obU6ETf5YU5jt37pi/+3f/rvniF79ostnsm//BA9jP//zPm5/5mZ8583s2HJtUODJ5OISDAp1DOdelyMfaXQwqkdpbKsx7d/1lmVxKj0iQI5mxb44bJ9iVLNtpqpOpfQPPYGVlSSZQpQqLy/egGsjrk+Ia1/ejI8vnpJGKSeovVX+XEEQp5O1S9DkEM1n3h1TMEejPWUxeGQQlGexi/cQ4eMPAW4i21DHBsTZjChQsvtMTfLPcprwn0loZYAsA2x7hm2UdtOSUpaYg6QXc0IShPajnqhNJmqhS18bzNU5l0WXQkA7ObIj6FWjbKJTxwXoiXzmZ1yn8SO31xW+3elL3kO/3CIUkzoOOkEdwsAsP6+WuODiXcrLpeqEtwcG1UHbzLQQxry7J+VRens5k/HcQUI1LCKxU4OigrlMPqwyDuGU4W6N1e7CPiYo2aiyy5IJS68bvrMlIOjH7VRyoM0YCzyUoKbO0AtvO2lJqvkSdKwYHmXzpDOQ9snYW+3A8R02Sb2FV+nNm78SaZox7XTOz+X8u6gc3LzF9i5QVOmkdUBfofLjoY2pzhSBOCoEsVdMQmxjWqqOlEHxkDbtFW7DRUxRf1vnDNdQ52OCNig6vDpchdZsOFp1vUti6m3anUb2/7Nln4rvur9mptgnSNamaWJHr5Xfx3rGZpsJmrDpsjA4IUm1UbbIdNXBG0fsmPZr9js+pairCD+GmVgWDUduJTn4gbpSZZO1UJN6X3yCHdzNY4TPNf+c8xMAU10n6BCMEqfZ6sktbDWRwMYnFJNmrbdkNbeRkPdoLZLA+viRePMtuZNARXzqRRFou+ttLJVknV8F5Yu3fMgrB/eHRhcXxpYKsgbvo1wd9+WikUb5yW9bbxy5IkIhJsirKftC4frG+crze0feZjt58rE5JCeziOMeJDIEZzhdd7ozkkGNlXEHwCE3ISTWVN4yhKOERX2Non+8eFns392qpoTEpY0xqyLFsLyHRr9mDfapvcKOM31UtW3aZE4zzEgAGLL+wN59gZ8tIvCLgrFSYmXhBf0y2HTRWBx2VdeUgjqxoiwy0cC5k4i1kYCbapqo6xxgP/ay8vCpq4L92LD4794gMwr2IDFFuVcY4a5uHWBzvDOSarFs+QMSIgcgMOsLt3vxB1kNp+/5A5mUGG2ksZ8W5jTXDBwP68ljXrqAsBcAvrZsSpcntyBzMv23ty5yahj7BLN6DIknIWtCpDgv9ySF9FdbQc9WaJh2W9e/oq3D9JHAljxqwQ7ybCeZIKkTHe8cR+j7X1WkV93eUMlH1RXF8+hgcTJyvEpIYH0zW0pdUgTI8d7xUspRB2MDeC34IS7ezdmEPdQmp5qwS8/hbPh/pz6zf2oeyfBZlHKg4T4uvye8e4DmGSJoMEGRU6yHLJEXdIXHWnXXa205hfu6558zBwYF5//vfb9LptEmn0+bLX/6y+Wf/7J+ZdDpt1tfXzXA4NPV6Xf3d/v6+2djYsF7zc5/7nGk0Gov/7ty5Yz3Pmzdv3rx5ezvtnVjTjPHrmjdv3rx5+7Mxv1fz5s2bN2/fqb3tCMS/8Bf+gvnmN7+pfvvrf/2vm2vXrpl/8A/+gdnZ2TGZTMZ86UtfMp/61KeMMcZcv37d3L592zz77LPWa4ZhaMLwLM11OEqZ1CilqBEKfYdiqgEguoxqK6ogC22jCHQsspHatkOpSaOgOmusEGyMjvbTiO4jEm3kKMhaoIIr0IBEk41UYXC5Ziy0QgqlohKP3rw7BIEd1q2EOpC9OgDCi4I1B4eSSQqAKFRK10BBdpUiM1TJovsy+8Hnr1yoL46bdclslPFtKNxSrUnbA6Ct+G76MzsSLcQ3cKlr8x3EbWd2clDHNy3Je8lCnZFw8y6QkQpFSIQDxgRTQOz7qhgu7ktVyDZQbsOcvOOP1V4zxhhTSck7HSFryKwi6QhfqwtS4tGioDM2waGrocgz3/vVgsAE7verxmbtsX3MNYfyjndqAoGJVZCpSN2DiArFjIakIwApyvfeGsj57Ev8fkQjsu+TzkK1zUbXXnKA47IbqSmXluuL31w0aCIKd+9IMetNKH8WUFybiGkiik8gNFXG3BkjHx9mEZV3Yk0zxr2uJUcJk0wlVNaSSD8lYBEZUWukuDBFmCCNlbfl5XBPUkrxp4rW27wsv2s0Ga7JjCbWynioUHmQ1BRFz8FQnjqWKZ6jCmvj3SWwHipqD5UxKdrhYDEpFeL4b3FppRwMCiVRIaTysi3DJfk/RJ+Q3qSo2AU7wpECABS+GSzL79UXpIOcPjn/XSn5gV6m6DNA+pAurgqHY01hfyAiorslf0vakxJjAfpUISjO2VGYiQhKzblKCb5hLWeRfc6zpPV+s7G1OKZASR4iXSuhXZzs/etCC6RSaRedlXS+D6xJwGW/Px/IfVQ1vw8oASnJl4uCNHx6SQRg6pCrrKGNzRGlwcWIOqSIChH0d5vSBipID1FmhUJsse8yAB1tBjRLEqU2Bk1Q4kgxxnHqGAiZGgT7gNiZsGg8lx6i6Zvwk11K9Oi3mdbDu4bZ7N3cqw0qxqRCY7ggcc7NntqpzVyP4P4phDJRNApVjnm8eQH7A/wt1ZFNbd5PFQIH+xeisSnQMHSowKqKCOjvFIAZXES5oDVCsuBnia6IaTxmR/z3Bei3QKVRvbkrU5jao9ZbhHUBpQn2Clk4NKKxiTr849bO4pglGUghdgkxUeDwqep8Hhs51IpYrugEJawmFETC3FIpse6HGPdnw7syn9Uu1hfHfeyDWLKsjP2igegKmX/j8nwtSTboWGAtJzoOcwz9r8w9B7sDn4aviWss+zP75Ahz7RCMo+kh+kQJdGKK0kYI8lQZolQQt0rAJzGKmWJH6/E4bKBE14xrP3wnx5hPTO0IZ7Ik8ofzm1G0hP4wEYVjtUza2040NMVaqBSf6drbBUCtnl/24a+U7f5PvDZp9Xa0kchP9A3OXSn0k7jPJOzD3WpvewCxVCqZp556Sv1WKBTM8vLy4vef+ImfMJ/97GdNrVYz5XLZ/NRP/ZR59tln37JapTdv3rx58/ZOml/TvHnz5s3bd5P5dc2bN2/evH2n9o6IqLyZ/cIv/IJJJpPmU5/6lBkMBuaTn/yk+cVf/MW3fJ1hP2OSyUAhEFmHhUILzDoTdcPaYBQlyVRR2DSKPLsQXqwXyLYQCZdCdseFeiQ6jdLyFMRIoM4L69wR8caaZcyuxBl2otYoDEFklBJxQV3AjVWBTewfA0UIFBYRjtWiIM5YWJtIP6IXWcuxyzo2yCRlgNqM6w6yBiJRl2MjbSkrRKjcJ4f6mG3cnzUI2WdmuH4R9Ra7QzvqsHsiaYzStpxfibJ8TaDKwiqQr6zZiG/aBBKucyLZu+qaoCn4TllU2LBGC0tNEGFUcNTOQx8mGi8TpWOIEDwFhGQ7FGgS0RZbubpcA+no1lSuXUr2rccNXJ+F5VkjhSiS5ki+ax+owhDnVIP59ZnZfOVQUHm0tRrroMj5xy3JhLL+CmtC8Xy+3/UCECJAL6o6jBkWaxPjvFfbmtejSTiKWRCNyOc/d0FQLKy7uJyTdt1pVxfHVdQ9zIWo5YN5JK6dlcB4+G60t2tNM2Ze52iWnSlkHtE1CkEfvdYkalmOSnZEGrOjLPDOc4iQmxHlhmmjLQADld0eI8s7UygeZNIbWJNr83YSOThG5jq3z3PlGhQlGQKNOQ3tKKKF0IzR9SPZdlXvMbRn+/n++D7Ck8SZ52DdnxHWi0keKIU2RD5Y9/C+PQM+yfHb2GtzsR/wdyX6grpuHSBT4lqVEweSk5lrIoAUqgsICmbLmaUnmpYCPn3UMWTdTFf2fMrvpGrhnZ1ruE6fog7wcVKOa/BVWFt4Iwfk4PgsusoYY9JYv04Gcs0qCpupmoktWVc+AGGxMc7JRvAAIgEbQA6WA1kPX2pK7UKiJLkulCCEcrtRXRyfr9TlORx1xZRvSDQ9fLHdiSATifbpRHW2RxA7TKC+Nf0p+tiJlpw/zQL9sgJ/BufAzTCDDft8oUR7KhiLmJc62/Z5Lx7nizH5FmpFPaz2dq5rxrhRR6xXxppeRNYpJBU1dVgfzlHPlwgjIh/NKVCxcRegAAbLbeI+qmYu6iRyLWUbJ6jhqcSogNLm3xL5yvWWz1S6g/p7O+jj0ZDQNXvxh8fyzNOivT47Ecdk5FSzMq5PAOWkWApr+ZdQ5C2JGoBLYCKd5sWX57zbiebalxpSF/YpoKtfOBUavarBj3WyB7Em+sOct4qh/G17JbSez/1XoWqv9z3Dt1SCXFH/UGUwM3b/a4S4Q2Jsn7dY95Bo2hCMBoVU45KFMVR4HSKMWblQal2ebwy0KoVM43mae5kuBEsVu2NkH9sT7j8dY3uaso8nJVZC5B78ZOiaadbD6vxCqYG9tjKvrZgvRB1S2ARLpvLXOBcBdegSYOH8QnEVzjVKnC9ySzifEMmt0JB57ANApAVBYTG3TN/CVu1dCSD+9m//tvr/2WzWfP7znzef//zn/1TXzYQjkwpTahA3mvJGlqugPyKAyMmAgRPSgCku0o/OVxOQI9hG2kyoAl12NdcAwR1u5ikyQjg0g1QMPnCgT7JyzRLohPF7Cqn0i10GA4t8vvUVcaC5sFQrdko3xRhcKtcTBE4V7bwEOkvWHvSd4h3HQdRWXUZuDkrYVBHOY5Eh5ZPPOsoA1sxi6ywQjoAj+w/bmKIi55Kc1Ea/Wi+3zvzGuYXXZnCZBc2DsjxTFs/BiV0J7+Tt32CCouZhBdcBlWKUlvOp5BvTsVjU+Ggg0QSqWLKQMgsv5yGy0cDKcncowkXrkNviZow0LRaTZ3uCpMy8VL0kPSymVVBZsgwqh+udMqDLoP5qQe5z57S6OCb1l5tWXp+U54OWrIRUai8Ecp0jBC7z0e+8xp0jiRps1DCeQSuh09M8keudsL15OH69nPX3/SZUsWOhoIeYwmyzd2pNM0YozAzglW5hDsGGIvbD6SAxSOYKxLicGAqwTAIGrOR3BqYYNKTDlOmc3dAYo52t2HGmQ0zjfehMk+JLmyXphWLeKtnPYYBWBRZJHSe1Ec4pVTK7kZ4TA2OFO3aqNJ+DzqZyfFHwWikTs6g6Am8MVqp3zaYjoEJ1R1uAhBsOJYpCCg+phQn7MR1fFhQfIaCsCsIP7O9sRroXgoZp0LIZpE5EVLIs6HD03ejPcM0mfY5lLooqICcPXh/S+xbj36ZZ4iRJOrHMl3f7Mjd/7eDc4ni7NN8RMgjJ9WoZlOStvOwex45yFc8fi/AYk4p7Hen8TP5yjaNvSKo3FUwZNLQlr+hfD09QiqOAEiAUlEvaxzlprQzwkA7Pcg1jCjcxWMmxiKRLbhciGxgLvUi4KE5svBW1yofF3rG9WmdeDoIqzJwsSDFkQJBdmRtizpGcZ6i82tnAt8a8uPwCfKv3yQ2G62frVTAhQ7VXpYwKtWMntbEJAQoGSCFYyPmPiRL2wRkCSe1trAdUpY5+HiFRVLgr55LOzD0Gg5Mn9+QFJyEUyT1GByWCjiGOmIMzUkfCY4obhFi0epjTivj4hcx8Ptkp1he/3enIQzEpT4BQmWW+mvYyQkz0d7H/ouI991musmCMPaQg1DVoUCksSpRSPZ7zEPqA2v9RcI2JWgrj8Xf0E/Y9zpH5A/mDgw8j8RdyX4hW4PoE6Yxs5c7wZ8ExfAz0q75s53TSFv13UEXwzL6UKX+3jXKsSnkYQvFKwT3qksV7EPWir4tgH31T3pO0cyUMgzbSZzYOIRt+DwqzTJig4HvFHLT43vhGIwQKlXgNr9FGiRwIVsXb8eRboDB/d+3qvHnz5s2bN2/evHnz5s2bN2/evHnz9rbanwmF+e02iolUK5K6IfWPCERmE4Y4JrKMFNBxJOe+sgSJdwpQIJvQw99tVSUrTNpMrirhaBdlZIx2kVJ6fAtpJWQ0wmUJ5ytEH7IuMS2RCEiXcAuRlKQq9kC35XV4T2ZueJ0Sio4PiQjFdepHksligdoskFdEOMaIzOqyvYg5EVsUUVnCtTWKkCIu8rfHt+W9V7blu/JZiWxtgyJdAoqt3kCx39L83ZD2frwnmb8EkKdhjXRqFrOV+zPrXwcSl8iAVFauWUC/Un+LwuhEyPG+zLzFaMAQfXkzK+8og7TsKdJnfaTJSkj1UIzlYEZFCDGiERVdADZBPojIDSJ9u4BNxZTjLCrLTnDtAGiSpVDeaRXHzLK2gEQhapalFRKAWdX78t6JLiSShijFPH7fG8t7iucmvpcr60JPPu1J36CY0fktgVVdRTH9w46MSSJRSlk7BIMIy/h9JCnk4+3bWqprTGqiC0i3BZikCv7HCC6F7AOSYaoQZnI8w6Sn6GDICgMUrKgcFGkhCozpV2Zup0CXjCDKEQt7EH3CzHxvHesbaIiK2oN2URyECA5mgoleJC1IUdKYdQfqj8IeinK8Oz+nv8q2y7lBE23HMBgsEZFgcA7bJf+Qxsd0iQXwG1OQJkWaFNBWfJcx1Uhl1AkCcwDCiOTk+eyniibfJ+pGztcIVlwHhcGJPtPCQmhQ9P4K8P84FytBK6wF9+qy9l6qyYv81pFAHNaLAh8iqvzKssydayj5QKEVoheJwGkBOhKjDo0x5n57PtDuzeAT4AWPi/IeN0GzTsEvJLpnvSBtZ3mPPlDo3TEHghgZMU34NkqoxvqXxvRP55NUUAa0IWcvCWP6hHY5LtiTc9TSD9ZHuiXnjCtyr3TTjpmY4m87OxikFgRMd2v+79OeX9Me1KbJuS4IUTaKNoj3vP7F+4vjm/+rwOXSpN4BMU6jAAsROEmIPrU3secTt8gMo79VNGS0MYO1kUgqUjSJUmL/VWsvuzjuVRC9JVVawjUHE6GvxGbioYr7k+o6XeOkC/Qb/PvSpswnffh89Cm5n7vdlf0RS/fQHybqmsjEDFHd+D3230mDph+fnsnfrUC4k+V3WLaKe/ZqQT4mS0hxv0xmGJlFjVNxBGYos7W6IzUUuC9stebPNB0pfOHiKDyRa8yw1g2r9gWXa+bSK9LezhpQkpjGBwgZtLfgW2AvyFJjpy15vuy35HvMPiA3jteh0S04b8tAhALZlu7Y51yi71z0ZD2e4ItRJIt/yzI2eMcZoO5iZo2iHoPZQMTmhIwO/I6ur5gkBaAaG5ex54NvE9bRdgeSUel+ERHIx4tOoqCMKrmAd0fkIpHZqtRONKdO3gKy/qEOIJayQ5PKJdSmmpRZOpAJbFx6I/maarIB9JkBkjiAx9perAtBKnE2YPBBfmftQNY3TKOuXBftqmCCY42GyY5ch45w0lHvjAHSmKpL5TwG74oICJCWyXfEYFcTqryFChRZEaDgRH1vV1bdzQ2ZbPn9poTUKrqmtC1tqQ1Ix5rvgt9pG/ekEf7OoGGSozVvV7kuIujcY3AFQcMS2n6MGn39qG2E0BdqMpGzviHPGQ3tPDX2/bUl2SywL6+BvrqBDcVLB1JnhP2A77WCQPIYfTtWYMsmzlJAjNH05DUE/k6wCpCSTNpyEZGIEqIb91HIixTpb7a2rW1oowZiIW3HaMcBuSme7ZGqbAyPoBa3Aho0a141ULvwsCmLKwOx3HRt5uUb7HbFK05hdauh7syNurybAJvZ1Qo85MioIL2ctVMzLm0fLo5dtSHLWfkGnFM7mK9u3JX+w7EdB6Mn/e/uGohvp6WGxqQSxvQREHPViImdGlI46bCNi1gb4cAqegOmE6X6C2eMjg4dqcLrCJhfkt8ZZOR1WFNvWJ1G18Ocvw+q1XnUKoay4gTX43PwHSmasyPwRYVhOm+Zlj24ynuxfk8vogczcDsBbXJk9581ZRdGhWU2TDmbpOSgbmSCyQlHvTG+b1XzMhX/hvtgQ6OCrGh6ULdvoLkBYjCcDjE31qw9N2F9Qwct2hV0nXXiUhRyo3MIzN1tSUCuiCDnWunsHGqMDupx3XvPhgQ60oraLP4VayNyXeF1+Dt9ujiJxLWAvuurRzJYp8sYV4jGcMPPoGEd3HGew80//Qb6RTT6JSxToeodRpS4YUPW4FQeHWUfbanKfRKs18wxQUVmKCmz5IOaF0b2MaTqw+JerI2IGIVJRoHyWdxnJvbx6+2sJSfz/1RdQFAuOT/d/l8keqYSEo7NPIOJG1+RfnX4XpksdGkO/C3iH3Fiw5UUYxBO0S9RToLBAQYZuR6SwszkS09cKPXcdKt5fsZBc55E04+ai1FDOImkVAplBVjSiGO/iDJYBOUwIXI6kDnvWuVgcVwLpJE1ZPW4J6CdoCbKf773pDFG1+Bmsp77s2OUhyBQ5OKWRIg7KP/FOuCc27gXJbCEdOlpBcHHqdyLAJIcJqBGXGcT5aOoPN+9yg+F9ZuBbDSGc1v9CuvSyCH7rUqusWtn7D45ASenT2KdgkZEKvpb1tA0fU6u7MA8ho/kqFfKhKGu4ynHDNqpkgdIRqnkchZJzuixu+uIjdShQF60z+tsC+snUrWZtVyxLdXBSviOfFZ+VybAOe/wOL4+faKgaacnV18HGOpxxDswL3IufFDzFGZv3rx58+bNmzdv3rx58+bNmzdv3rw57aFGIA4mKZMap8xWWcK1N45Etqufg8oQUHHMJiwX5W+Z6SUqbanQPfPvzbFkTZugJ18EouekK/fcLEuo97V9yRxfWJUU/IC05SypLxJVJhqRyrVEDykBFlAHy+EcSUQFXVdmmVmnZlvC/StAOlGMQaHcKkixwYhMYhuJ/CRcXomuIPyfBIc5RiZ2QFEi7ZRoRaKnGqCL0vgcRF5WluyUZ2bsRw5hGML4ScuOEYsDKIUpmjwQSESKjlHklmIw7Bu7J4KyuLgqKDoWSc8DiRcLuhijs3McB0SuUbkxb6m6SlU2ZhVpFXBSKkjpNibybfYG8hxEL/JvbwI2Rer0f7t7bXH8P51/fnFM0RUTyHWCKAV0iuL4pKCdL0JxG7QzFs2ngMgzG6IY10bB6QNQgisokH+CLO5aTvoBKdWP1SS7e9AD3T+UMRR/J84JbSBXOP/RVpDpbQxljqB6+oWiHcXLsc0sdViev9NxamBesf6ltzfaqDSnJivRE2aOyZybnaVjkI7H30l1oKoxERQzog6JvuvbURkKaehQbWZ7FeUwcbaNKqXpos+SVgZ6cB+UZ1tR+Tc23qVSOarY3w1p2WmgFCf52RsvrdBQ4QmQZ1h2SPHlcySAviM6VFF18I1TXQrGoKwI6Jqcoomw1II48TWZxQdyxYGYVFQrh0iF6xsT8epCG/EfKGowJQ2ffS+c34xzN1F2GfgEe03pwETe01egD0FGxxCN7OP6r5+ID5pHKQqK6p20UWLEIdS1+PfA3hYyYmhkstSAPL++LxCnjSVZS29fF779xhXxFfb2oVTRAjp9U9aJ/gmoiBB0Iy05VZ3/nnwdaquX5ZkmS7IeUcmUKuUjjpVTIKUcEAiKH6l+iOuTEkuhlUwd7AosdzFoM0YDTQYef/GWbKbRdy4EIhE6jgpPTkR86xwlS3FNClaRiozf47mQyCWinhSFEdeAu2rCOlDUKJHBkhac54h2hKagQlXyPZVu2X/nerdw3xWqC3MokbOYZydDGVedhFw8CTTZOCcvflCWP6bQSRUyr1m8wBYVs2BkH+XxIB9eu2mMMeZkKPvr53allssHNoXzzX3NKkSySEkmQrDZw54L9GeuE9x3N0Bz5nzdCexMPf5tZnV+/qgDKjgYFYkO5rMyENgDQm7lkP2t9iIo11so24AxxL7B+ayLPeVJQ/YSxaJ07jTKaHG1SUTrEAV2KJI1aELNum5XQhlU7EyPwDFHuEQAKZZCgUGqEyvxkeiT5Q4hiklGDqnERDdyrADRqAQMIWKSOwE7sGxHJhJ1rEoecB7J2f2ueJ5yiejl8Xz1KxA7uyG/t7fOCta4hGts5ldAb968efPmzZs3b968efPmzZs3b968Oe2hRiC2W1mTnGRNPy8ZjysrUvPgsCtRdQpvsAYZMxSsL6Nq6kXwByJ6WJ8vsyrhbWauu5mzAg3GGJNC3UNeU4ubyPkdhOGZoWZ7e0CKUcSAdfGGUUVQog6JpiPKL0R2u5CXFAbvn4OIw0Fb3nUO10/j/ar3DoSeEqRBdoz1gPqoZdibyXFcJ0iJwSCETlQejc9R70iGi0i/AlCYbPsQwiWsZ8k6d/werNXBbF4vyjAVi5LRYn80yITWgQJl3UzWpGT2jN9sgEqwrAPSHdv7+8RRBDnnQKumolQvv+NSmlk9FJN1VEa/h0q/V7KCsiO6UaFIkA6upO11UX5w61W5DtJwRCASrRoXnB9PiSRl7U25J+seXiwJirgKJCDfRx/jkDUx+W343mntEYSL0Aaiqol+zUYIQyJeiEoh0pBj7BjX47vmGOIzUfSF6NRM6mwNrrELKuLtjE1yMzPLzswMtb5UGRkiX6LPpIRTgL7JHmAsYz5hXUKi7KaqLg3mZQhWMEU7rBDRg99rqCWkREHkMjGqkSIjvXW7wAcRH7Mk5nogNXi+yiIDXTgOcX387kJw6uLecj6z3sPoOqy7yGvrzLX9m45K+B5AexJZN0a7gjq/q73I47hkh/0p5BVq6sRtexDkK+tHsq6lQuwAXTNYpfqJvc/oj2ZHPm58Vea0uz+EeaaAxkXfmEIlL3cEaUjkXgX1ZcsZu6/wyqnAJFkP8U6zujjeKdcXx0+s7kvb8ZEpUMLat5wb9zrSoeM61JVA1hTWlyaSkpwPog6VkNaa+Macr889Kustrbwk1+kXUE+OvtuynDMAqmeGwp+pCKUyWIcYGPqAqsWFzsf6rbTRBuqwNeyiLzP0n+AU/gcQLUQdsg+zbw9U0bD5/8QoupndHfJmsWnGmERgDKZo9S3gEqmaZqyTlj9CnbKy3Z/IopbZsEKVFpzkqIk7yZ+tyZtEP2ZbVM1cCnaxThqeQ4mcYY7M70G8Z9PuGxO12bogxyEQi2NxnxdruKp7y+cngwCouFQINhMEFikAeK4s899qIFCq3b6glZ87ERjYJfrGUKHpwdFgnXP6qfH8nQMD58k1mVsP+rLnZM1+7n+57yZCcPKa/G3nCbk+2TlZHB+fyvm8/uRE2tspAEmJOonD1vycBFHyHAglTCT07YgUJWoVTIjWeegpYF0PG/IH7W2sw+gnqcAuAhVifm905flWoeMQIxZLZXlOtZdgDVxHbUZ0H1UvlKbYI446gpxH6GsFdrLUYrwOMYckR/C/MD5VbVEsNfSR8vtYL5bgy9bOrh1vbCONDBdXHUYyRuIxzXcUNuAToG9wXjq5Bl+QSOpoCL2V0r4PdQBxudoxqcJY01sp+gDnkJRVTgwMqHADX8iepWW2MQGR7lJy0F3oqHJwLUFYhFQWqjYzsNDoQpkKgTIKeJB6q4Oi0usP6nPndB30FVJUE46Ow0mV56tAE44ZLAnQLqpdkebMb5ABZJrvZgzhkDRou3GAa6KKf0vb2V5Svml5vEdSjtQ18V2z+K50xA9OxPnP5iDg4xC4iQOODPLunchGh0FAft8yxExIe29AwYy08DsQr2EBZT4Hn5Uqi+wTQc4eHIsthRm+O8PCk4b6YwIiQ9jUlpKYPR3GoGEDKgZUUmYwsYyVln87wnxBJ+j3Di4bY4zZKsj4SLo4NDBS2UgLZzCTQiixuuYb/5ZB+z0IqtAOWvL7uWp9cUxBEwa1YyvCQ3dtfBksPmjIfXZqEEWBQADFo6ga3ezLOI8D9ZOxF1F5UEsOEyaZTCj6KoNa3LDEjpQW3pBDOhwzboAcwUn+raKJkQbIZFzOft902xHgssQKWLw51bNvDDWVBW2Ht5ODAEtvDYG3rJ3WO4RYQvYQQS20fbCCtiftjmL8HKqYPsRBRqB5K7oJgrjhoT3Qy+AHxR1UXIO0zwaCuEsQJyMbCpcp3pbjxtXEmedgMEWpHqfZf+wBYtKGSItJWZxgY3Th8Clo3NxAH7wPibkx2sY+Ean0co16z/K9xfFrLQkIVhGca0JoazsvvtiTKxItZtJtKSc7tvWsPGwH5S3ud+XjsywFRb3KGWlDPoO/vTtft/sof8PkE9eLNspo3DyV9f58VeZubqaPkDTlhrHPkiU4ZiI4CV9ognOmY04YchjPCwmoJ9OPTSAhOrMPN2MoKIDdG4MkHMOkxnMeVeMPFFNS1VwlBOK59DvZaH2v2yw5/08JJ8AY/FBrEAOO+F6BDE/Tl4oBpnERe0FV6kMOUX3KZHCdUSSAEB5jLnb0nRHY/UGd17b3HW7UOZ81L2HNwHUoljCsyjHX0tJdiIg8xWDI2faGd+Tfe6vy+4xjNjgrTmmMMQlM0kyCcH69UpDSXedzsvgV4YPTxy8hWkJBFfr1/9eNjxtjdNLm67eEwvzkOSkRtFqUubWCJD7LC40I/Ng4u783xjgFWWcz+2DPoZxDDyIjAfaxvUgwhYrNSYhycn847WJu4zig+BDGEANpWQbY0A9JYaYfFSJgzPmd6wSDhtWcdOLDw/kAIHCB+47p8OwexBjtUw4pYITPwb7vEl1SZQZYngVBSfoiqqRNMv470vrt9+H6kuIWBs+R7gMoguT2zJFwWHoFgiZPYI3FHAEXQj0f6evxPoB9YFS0JzxcAjvDytlz3grWw8NCvHnz5s2bN2/evHnz5s2bN2/evHnz5rSHGoFYDPsmHc4UTYNy8mkHeojoGtJ5bYIjxhhzHGVribghyq+MrPBxH2ItoPiyLSNE+MPAjgILkaZPOULfFCugKTRZQ97HUiQEQlRiG2gzUnCJtmSGpAa6OJGDbGP9WFILmZy8gzKKs7LobW8g7WHbq0BqDkNQJJEu6EZtcAmYMJN2vy7hdoVURVFcvhv2ASJYiVIk2pICKPWOnM/7UpwmzmoRSVApyTO3OpIqTeL9su9RjKZzCgTitrS9XJVvRnGeiQs1iuxZtw/KMwRupijsOopSrSOkXIk6PBzLeFtPI6OVQruSSL/AClNp728cv2dx/InaC4tjUiA4F7zaFb5HDWJJy4BwbSJ9fKMwhy1QtIS0Cwonbefl71JI7+QoHoNU2ksnUi2XAjQB0sTZlB1RwnF2cUmyuzdOBGlCKnvcbyksRBRzLApljDG3G9XFMdGmFaBcbx3KfdaX5LuSysa5LpU7W6Jh7ED/ejtrs+TMzJIzjfrDt1EF4aNPSZSCogRvybcgsi4JqgxRihTYIHIuALKNdFvaFPTcGWgguQNQaNDOGMWWxrX5bESwKQQiBRJA96UwjKJ8D+3ogRRp38hWDyBeFZyibcj0Kjp41J7kkG2RfydljdndNNCQozLQdA6ac54okk07/ZLXJ9qSWec+UJUs4h2/D525JxrR3pdGoIKaFJ/DjupkPxlW5ZrFW0CHUsAHUwcAb29AyIIy25kfjx3VwPeA4l5blTW7THo95nT6bquhnP/FmyLStfaI/H6jZedj3WzK7/RhKHDFshDVtflcy3WBrJOlQNaxjMPXZcmQG22Bal0EMlG1sS4ctyX4g3sH4sMkSvaSFgrNxPEX+2AlGQicz0h3psXf0RhjRhV5XzMgpdIH8CMhosT7E0WmkChA0RLxSpQX570Y0RH3O1+V48Ftlpj/FwLxR4ScogrimGh70vqIruH8yrlriutQoGQIckcB9MNJfv5B1RxN5CDQTQr1w+vtQWhzCQwmTEVcqznvq3IOPMR7YnmL1nn4B3SvEnEb8WwB0LbYSySwPyKzi3syou+OJqANV8UfJnNsCR+ti485SqCUEj4O2UEsWfSXdr5hjDHmDvitH7v8+uKY6G4is8eKjSZtz8JHHgONSCaWC2nIuY0lsrh/H2YgAMpFK3rFySI66h72dtsoOVFAW7AXJcqfyFbS5IkmI2qNyFb6V0VQsYnyrA+kbRSC5XtNns7bNoWwJMU9U1l5fjILoJWpRfqI7i3az3cJnXC8clzm78sx9Xvi65RvyvP31uRdjwqOPkCBkn2gctekAblDMF+wRy7sg979JFD79DtBL4deqEnh/SEss/Axi3fAjEFJIc4btKxUMlH+XyywM7FXcrHaQx1AHE1TZjZNmQbqH9Ax+sY3Li2Oly/LxruMgBHVlRgcu3dalb+NVJomGTjBDrUm1uoroaYOod+ndQksUK2usIbaDRgVA9B38xZqtTGaLt1FwGFtWTb8MSWYtdEYeCB8ewWQcE6qx6C+MLDIAN4yakKeQqGaNMe9ukz+2QDBj9yb9146n53G/Pul4FQygMg2DnbR9oq0ZaMi7R3CgSc1/vRE/ra8yfoggIqDHrxahrcBo4pj3IdYy6jdlRmCite792V2SYH+zaB2ULLTplsteSYXXYnX4TeYYcLiN2afvxzOayhlMGMVEtKWq4FQwO6hWMvzfaEjPJUVRbUCKA08/rHVP1wcTxFIr4P2QGeEtVMqCFaSMsHjp8tzmlsbTs8Auw9Sol9sbiyOHytJXRbW3TpEjZaPb4rjQ1W5PgprBEkGvqVPVEF/ZokEBvwZDI5VkxngQ9lQlZwgTY3XY/CctnskXgpp+qcImDMgH1P8J29F2ut73RLz/6i42Lpg3+BmItoenRVumJX6IvxXBrtYu480QLVJYoArD6oTAkOk23IDrzb22LBkGskz16Zj2N1i2xPWcxTdjd4MaxqCKsygLDdjqjYj6TQIjiUw19NpjdvDwB/VNdWmFt9u5lBSnnGDN0SSB7TsCZ4pqCO4C+ebtHdH6VnrOSoWxTpaVEDG32WPQB0FPY79JH9Pxj8qHKh26eCyHCvlase7ZHG1+L4t8IBeRR3DjZKsnywhwYAc1w7KT7IG7Sp8K/prT1RlPehhfv/qvfOLYyZcWYpiqErKzJ+vj3I21RB1xBBFSToUp7lOr2XFn2B7GSxlcos2WbGXCSL1rQU/rgG/Lz4/gGLnsIP6y5ijWJdrtILOwXkMwYrBmiOKh0B26ljeH+caVfYBpmqggpIWP3Y8Ph6guom3yBKz+X9dcZuUIizHOI10YxoDe5wTivfk2zWuYG+1hz5TkbmotQMKcdQeFWDcRbJl5ey5xugAItdhzmFDBgpRIsJV227kCK4opXqewyBqdHmWolBBJ/iFBnRRjmv6kxtV2R8tYf7hPHO3X5XfEYxfQdSVPngXGTge9/Ex29HHZ4Ke8y/1A3hMYM1pj3sfeZG1NYkH3HxNJLLPXRYqtqqfj3Wt8aIENJeflGhMwHr0WNjSEYU5w5rkNXw8BN6YTJmCk5xGMoV1i7F9MWOs/Zm6HHc35Zh19hgzYBKriPc3Q39mTKR4eX4D9hMGECd8DoxPBrWYTBgg+MnzlWo7lZpZegCJbp0gst83vmbzEtZPjJ8UKMms8c3kQB/JAZWcRd1D+s/dTXvZDY5t+qx8jiGej/NFvE3trsGnZeL+GHPXMvx9ltSxUMcnbyEq6HNo3rx58+bNmzdv3rx58+bNmzdv3rx5c9pDjUBs9HImlQhNHpnPAygvr10R3DoRPYoeDKU3orYurcjfNiNIL4tmH3UlDUBRBN6HWd4WYMGkutJcIh8xAtIYjQYcOVA9J4eSErtyXrLhh1GKYrkq12PmhipVRGPyPqQ/HjahvEwkI94jVZqGYzuSkqrGzIocteQdk7pz2pLQfr48T6mMqUKL/kB03+pl+aZ1CLQw88asE5GttWX7N2OfYb+imhiFVohYbLfn1y+BtlwBbZuZtMKSneJLsZTjV4SiNEGfSdyX5+jk7YIx6ZQ9l0DlZSIQV4FmyCfm76yMIsl9QN6qSJOVAumPSnQFlAaiDu+NBLG4loa4CVIxVHme4ppPFaRw/u6ouji+FEqWkW3YimS7bg0ErVJMoO1I360AfTICFv9rdaFNXy3JfV5ryzW/b+nG4rjrQDsSddICFZkoRSq+329ICu9ybd7PmVXMgmLMkgtEyrK0AxGIHBMp0EQ5VqkqugsBmHhsjVMOPL23sxYhEJuX7Ag8UlbjrKFSU1NFoO30YKK3iKQZVmfWc5RRCAXnDIGKo9BJcCLjY1Th9eNzcT2q71JVmQqGRCOx+DWuQ5QHaa/M6ieBnhxTIITPTXGyuvxMZEy8BCSBaOQ7pfhJ7U+AFD5vPyfhUF9kZp6mEKeq7ThMOb6l4nrP76v6F5AzzFbzvfSpnD1KWM9hlp7vibQ9Fghne3mOoo7jfN53EqkwE91N9VCyQThHDuHnEFVO2l6IByHtay2U+Y/zOH2CJUeJGCI+FBox6tCcr//wtqwvj66LevKNkaBiiAqheBbXDr4DGn0hF5KRAigTh6RkInm2v5FtY/pE3OJcFn4PMbj5t6c4qQi2SRuqk0RqAAmrhL4dVTWSjtIG8ZiOH3nql7QHtmHFmFTWmDRFDhxUTCKsVEkLoI74XZQqLRCFRC+1gQBSSHX0h7g9pdtA7qzaodtEDhEtRAQi6ZfTEOtOA/sdlr0AhZHvif00aSegqXkxdhcpokX0eBF7tRzmJLKjWPpJzSdg1e1kBYb5VE4YRBfTss/Ko/FTjMkhsEtZLJZ9+PKH2XlHeGUgsNXnO8JaOl+S+1/IC6KQ829mCWImDgWfzWdkX8E1g5Rd+rfd75OOyPWDc2QPTkcQ0ZwnYHkZCEqRccAJyiV0p0RUXGh+9CWOMxKLGG/YyMnzNUdyUaI2h01Zsy5Fe+nrtwTemAWdeXpfGkkKs2K1ENnvQFIqaj6XFDyrEqwDGpiU7pws5yYRLQ6DKhHF8DcoOoP3NYBqs0tcZUQfJmk/ViUJIB6VpB8OlKBSU8ffxnMQyzwQSUk6M8s5cA5RtPCoS2LL+6b2UAcQS9m+SedmauCyXhjpIBtQsqPCcS2LCRQOJJ2nePPNWjguhV5uqnmN/XvVxfHWjvT4YwTJgor8rQpyYsfGGjn9od0JpIQ8A5fbK/X59dBepb4Ep5aBRda+Yw29vEMFmtTYLAJQPUWZhfw8RiCfm1RlBtM6ASDv/XnbqmX5ji7VaMLKA9SuYI2h057McGugcffwPhhQZYCN92UAkXUoN6FqVQjPegMuB560c6rclrMywyXW7bUc05fswU++j5MjmXkvbkvgizUwGMRlbcCRmb+PISIBv9V6cnH88eL1xfFGShaqVRzH1zDGmCrqITIY/MJge3F8ISPUgXVI6d0YCNcgxGy6hFWMNRlrKXk3rWgHywBjQ9GjESDG7w14uddKQtfuwat7T0UcLFIyGHzkt2eNxWlO5pp7XVkVqbzM+S0OPrIPkgbN4CvH29VVee57LbkPadNUbdbOE2j4AwRFo/E3cajrejtricn8P1ULj4FAOGFxDUQVXOImeWR3SFnbiw4mqbGqTVP7Rop1ykj9m1oCbMbounwLVV8ynBmAougwA0Rw0kYlO48Q05+p/YkcH78X16RjhvdLRV+1CWSgkzTHKKDJDRJpveO8HJ8+iWsjkEYHk3TmCeqJ8hs8iGqgom7j+dIt9glcJ6pxSEpQeIz3wjpCiuGLQCxq1YX7cvEBaPIZ0LsHKyg90kINJQRx1MYa3yNWTZ3/LfpztHEuYifAZC6DZ/T51rCJuterLo5JZ25whwB7HQkiJny4AVMJxqS04bAnPiDL3sSBQz7He7clKUY630pW1rf6UNrINUVRjzGn08/gnE6lZvp3LHfS72KjCPpxMmX3Yxb/jgCiWcXGUwXP0d8bqL9cGdnPQTCG0xVroKrqB6yniaREGv1wYhlDi2CXoyyAt7M2S+t1xhhd7kDlMTiHMdGlyhTgQpgTWO+NQTUqu6rrW6jCnS0EAQdn/90Yvd6qGmyYHvi3pOCzXWMAWOKSHsboNa5wQ/62eRF7GARUea+4bTMky2aoSddBXfPlvMwb51Cjnv4cg2pMlDyaFRXkaxlJZmTwMbPYxB0TUIOXkEVinsHEq1EhOPrLLTgWnE85x7D27Qpq1rI0EcsRcR7d68vit4vjPBLw1UDe0xHmbibpuWfuReUaklCbN3mUFwKAholHrs2u/qtqHiNgrmjOOJ8K3FwPShl7yaKjnoBSwgpABdF+PIG9O0uB3axiD9BDuQqMc5YyKcr2SJeGwBxL/4Pn0B+mz8z61XqMJs78RuM8xWvTqBrPtjARovxw1DRkqRY+E+uG07J1eSZFV44+R7qH/WTJ/syuY/aruO1ehdmbN2/evHnz5s2bN2/evHnz5s2bN29viz3UCMRCZmjSmYRCSa0go0LEYGMooV6i3wIgEEklIQ0vFV3nDhRL11GIm0gf0goJgSbqkAjAnZrAsIn6I9JwoyD3omIUaYZNIA2bbfnbJtqwvDJ/N8egX5ccYgnHTTlnNAAcm4hFZKKJIuTv2byE1Y/rgk0mxaQMmjPVmUnP5Tvm7zFCjfRaPv9mTdJ0pFDbn1pn5nlP2kEdVE9k7ZgFozpyJgu0Y/osSpHZKlIHKExBYROlhox7Llek77PvkaZKgR2+syoo2kQmJil6gG8fJpCRS87H0O92Hlv89gPFlxbHWZz7n9tPL46fyEImC1Yi5Rl46w9lby6Om8BkT/AOzgXAs8Oo+kbUXxnZz7sRDWwFSEOe2wdkgcrPp0j31YB0vIkUGxEZVJWjSibRLZtZSVkdD+10+2XMXWVkEGMECmlySnE7kOfg9YjM4dyi+oOxI0uYpabFiOXxW5H2+h63aWCMCd6A3AOImDSNuEtOoLioFFApfAE0DWkwikJMahgovloZ2A69odryNIM+41AhFsqs/NTbsNOuiFpzUdBUQXrQXuuP4ve2PUPLNvK9b/2uzHn3fsiOFIhRUPytcw4IRaAVlTIyEZY4Znab75EoKSuS0xgTnsj53fMQZTpNW8/PUiE7ffa7ktLO9rL/8F2PgV5U4jhoOxWWleFWVBBV3wl9glTTwfJZPmoByL1TCFe9uivSg49sCnKGyJU2BFg4t2WBRuTx3Y4gtlm4XzMUZC1jiRiaKnsTzd9poFA5X1MApjuWD5JPy31Y3oMok4GjUroLpUgGBteA3al88AEobhkIpsToRZZ7mS2DvYIOkYKvNMHvRB0mIFZH0QGibGc4h6BGpbxOkQKgDtn3KMaSiMoiLBBeDgq0t7OW7hiTGr8BQUyaHtB9BaCR2qAkK7gLRbKIoAeihzRAKpV21zGHUKBkcrYtpDb2l+TvcvidbSQlke3iHJYX4J5pPkKkOuZxIL8p3sL3R5SZRiBG18EYYAkm+nZkX3E+Ww/F/6QQCkVOWGqIlOTf7lxZHF8NhZHztd7FxXEbH4pMoS3UCflQ9pZ5o62nZT93qyeo7z84kNIOZMnQ7nQEyl4L7fPvyUB8bbIZ/6QpVN3Ly0LRPsSedop9byYEgzBDZ2FuM6xjCcwxyS7W6RLYeLhE9VX5P6OC3JP9nS4afUclFof5+MW6CMlcLNn3UCxTFpfXWF+RfsL5PRmQ3oGLEGGpRIbkmKwPxTrnGMLWkcJMXANSrk1+1EyXSnHxjqxNgwr2UCyfYg8NqGuSGeLyL5XaumKP4Jh+Gb9rFBYiFVuJS+H9kracQdcnAjHuMw733moegejNmzdv3rx58+bNmzdv3rx58+bNmzenPdQIxP12yaSmoVkpCIRhAJRZgALSaUVUl8PjvmQcVnNyndOO/N6Katid35LMAzOyJxDkYK0+1h+soAYZBVhcdRyY5W2NJBxNBBuNNc6IACyGzEbPr98Dgo3tYn1Dg0xeNwQyEs9aRQFe1gUkio7PtxnVYDRGI+FYp9CVGaepuj7Re1pGH8hX5D4KUZiyP/cx6lgQOeiqR7hWFUTo3omkTlhzkzUL0ynULQGK77A9vxfRCESeZtJyLr87EaysdUh0KhGIOfytLoYu5xD5SaQmayzyHI3Mm7fh4wWpdZjBeCsnpA/+f4rflPsjnfI7XYEJ3RxKZvG92duL4w3UK+wjXXME2MvlUBAlSaS7Xu1Lho01E7NoWya65hR5FWZcSw7U4UZQXxzzvYRIb98fCEKF9Vd4/sWczC+/cyhZXPY9Ipz5OxGI8e8XlySTeP1AUDereXmP7DPf2pNU3vaSPNMpamER9cixygL9rAUaF2oeO+YtbxabRf+hkNcQ4iNZoBP6K/PfdaFl1IoqoNYZkV+sJ+MoVM36TKqWIk5njSqie/oyhBXCcGbJisbPMP931h+0IyCJPGNGtvKqHDcvo41AXhItR5fAlY0+fK80eMYaRkQMxkhNgvXwXqY5ecEjR73H3D151t7GzHrOmAIpRFVBMGZAxCBMISZxPJASRwuUDM9lXcugjvWihLo7FFrBN2OmnYwDVRyetT2LDhQt+udgGfWmT4EaQ41FM5j/zrXuAGv8o1tSUZ1z6HO7UqD/w9uCfnnpVNaO719/bXHMufvr+1Kfd7si68vLQDu+f0egVRXU0WqgZuFSIPPrhWg9mAC+lMLHORgKFJlrTX0EFA1gE/s9MCcCWS+eu7ezOCYjhnP6cRtQBRjfcbYMwRb4P+3WfLKZdGUtzeDcMVCECv4wJPQUc8SAhTvlcFyGoIoS88Eh5heeo+qRFjAHAYUdlWRbIL9cNau8nbXsiTGpQCONWMMvQI0wih+wrhvnLc5/ak0Buob1CNvn7KhDor2D1vy7z+CvTwL73/WXgWRFdyyeSN8ZZ+1QHoX+R79Ooy4ohWGIICPCkmgyTAULv4FIXdZiJZPoYkF8RNb/uzGWBXxzST7UV5sXF8eci0z+5uLwWigQS/rg359/eXHcmYG1Bx/8YCIP8n/c+Z+NMcb8j6vfWPzG+uVEmPOZ6th3s5Y3mVuv4vnOwdetYl5kXdtRXzrZXlbasFRC7f3APiHEsQTuc4k6NPYlWxnRdL1V9BP4VkrwiX4G50hM41z7zhXkG58M5KQVxES414zZSs0eWU4YEy3UPaRPN7aPJ4V6c9Tro7EuMsc/5xQi7ZJwvCZhND5wvXRf/n2wBIaWo+6pEq7D+E/gHNZjJdKP1wnw/TJEZ1N0hcW10eoFwtGBaEw7EJhKhAc1HuN5JvEA/XFxjwc/9c+f5TIjkw6SKihz6ihgzQAXgzEM2DBwwoDUSiSmwULSdw+lB59fgygKgoP9oVyPVGG2l/fnxpvBHUKp6w3QJSuysgQINlH84wSiIPFmnuIdhx2BYHe68u4urkowY+9AJuGNNRmhVKWmoEPPQbFtQtWYbWBRXwY/GQym0nYfv8eKz3ynDBqySPp+SyZ+OvmNrrSLSllVVVQYjieOa2XpJy08H/sP+x4DwzE9mNfrDeTdFUFbZh8gpZT9oQoKc6uDtoDWz0VfBcEb0g94nTS+H4PUVDR7fTjfJD0R3sNvUq13Ky2bknLSTmW9GIgoCunGJSg7H6OA8girxm8dXlscf3pHsO3ceH2wcGNx/I2uyJ8Og7NTYFKpQ8tzVuBtdvH8pE3/DviSDBSyEH8GO+Jv1GXjeaUk74Cqb6rIPahqVPdm4fzYOA4qefl2VHhmAHEFVHf296Wc/K1LBZrjj/05ntPGGb/belBLjOf/UQ04MWIwjSfP/0fRkF2Ku9hQJPryB6S05hHI6kvsQ23eUkrQBJRKbPxIpRisYiNzDMpNFOxSwS2HY01VZUUxhDUv2WnTitrIYtoIWKki/mPeCzfgORBmWAxPFjSHSA1EfFUAQ4kybtsDGwx+8t0wsMcgo1JwRp8ZQ2yGz0cFyEXAFi+DQVy1QSFVB30gDVEdbnz7q/b28jmyh+jjdHIZ0OnSszY4Cf+ndDYafKUs/sxuVzbKp0ggXwE1rYlyEqT8cd3jBnYHSUuWwmHQ8EpRRKp+Z18SRCxRk0udTWjlwT9i0u2xvNADWSakGyJoOJJB2Q6h/AzO4+YVid5w7aPoQNKxq6B/dftEfGKWtJnW5+3Jbcj6yavNcnbacrKEZNkY372NDV4V3Kx9mRinS6A8tyCkV5J1KriP0jFwS4YIRnNjO4tKLsRjcuqaZ72dsUlgjAnfEAwDTY8BMEXDo1gJ1jj1vbDu9JgYU8ka+3H+EL73CieUuXHjHzax1pXta02vhqC0Yw1S9EfcMpTpR72btCMoyvfENsTXH+OeR/Dvr12UBAqDhk+XxX9vQsXlt4/Fp32qLP41lZcp9EmfndbBg1MYhXPaGoQV/87WF40xAlAwRs9PA3QOKjKzFAXn4vsot6DKYKXs2cMMkiAr2GszEEnwB/d5av/ejkpRUGQKx9Mmgm1KOA7rN747g1qsHMQgI33EPpKEDLDRWN7im0dC176yJJ2SJa/icmtTPOdJk1EytMVRYkUF/pAo4HjWgoByTOVhRd3Ge+Jco8S2ouvwnVI9vV+zv3f6PMrfxnMwoMvn4DrC8cyFUFGesaxRmIWBy2z0afj89Js4d6k+g/sooZ5oinBUo7KapzB78+bNmzdv3rx58+bNmzdv3rx58+bNaQ81AjGTmph0aqJQXQXQlonQIYKLFNB6UzLQpaJE4YlKiyHORAJdWEe2GpDp1YKEve+OqotjCnIkLQgdY4y5fyjnVysSpibdtrAK5B6e6e5tSTO89zGhfbaBDGpF6EyijrqQWCc1l3RVioD0RkRV2mmyLgQiUYekeo9zcp3DmyIwcfFRybDvNyVFWQTVOv7eREA2gOrktyYq8BTIzBKQfgNkWdh/MkBeNfG3LCybQtad7SWdh+1pd+bfg/2B1GdSovtAJjIzRhQqEZu5rLzfNlG5yLaRRl4qIZ0JI+yeZQBGgPJUosrR98bAlcMOQUv4by0RUbkUHtpONxsopEzhkmNAeVpT+cY/sf07i2OiDu+MZExspOWaW4FkKw9Bf44zp10gILNIe90Dbv5WV669ibSe6u9AqPSQ1jlEun0tK9/va4egkpWkvX0HVbiO9FgZ895ee3590s+ZKb15LGNsVJEx3x6gCD7uc++kujheBur4+l2h9m2tSXuZfY3fx/StVOb9HrdZZv6foo/a61qboD5/r4MVIMyA8KIQCsUrFLINRooLkYxJ0AmJouPxOC/3JfVMXYdA1Oj07KH8XQfX4N+Fp6Dp1oBIA/WQVFdmWfkeKcYywfUngR3lpijV+F3RgmJEpCpwjXYBPZVpQBiCaMQ8kIBj+ztQNE7ca4wMvxIFYMHyEP0D61oCtKOYThc0QZ0HJRqnatQojPcnelPRzpG2Jg15sGT/TkmgPYkqGhX53KRPzedLiowcg5ZFsSiiSYoVCJUB6U0Uy3/8lqxfP/jYK9ZrHoDV8SPbIiZ2DEjAs2s3F8f3egJVGKDNr3bnEGDSk4lQrACCVIF6AxHuvOc2OFUszUFBMAoa8L7GQX2jSAvXptOBrE31CCWYh0+imCaHEAkryzlE7ExRPiBdtJfxGAJ1SBGXSQOQioxcc7iKvyVyNw+k0KH87agaq2xE93YNAm9nbFg2JhVqqjLna4ovheKeKQSiU4wBv3Nd49oAQJ3Jwe20IXby+3INCqcQ9Rg0sDbjmXg+e4ea/zilD9l/5feUnaijEGRhC3uJrbPI7BnWnWsbgjokujrp4M8uYwHfWZG9bhXzDMv/DOGnf2uwtTgeAD34X4+eWhz/YE3KHR2Blkw2z2p63oZ8Ql7Gclr85f92Itdro8xXHntRzg8u4aojlLeosUQP9lxhSe47Sct7pc98eCjz+PIqOkVkGc49HcQjKOBUlXMSA/gh8N3y90G3rYAtAdQhiV5ErRGt1sG+sDO2o81fO5V9zhZYe6/tz+ndk5E0rFKVd9cgB/dUnpXISI5DUpKJ0FN+HJ4DFaGcCL10j/4Sxln8t0T/oVQBr0FUZ/4IzDTQyDm3uIzPSrp06zzmKJy/8k1Ze1s7oL6jzfG35ByZxfxA5ClRhYVduUh7G3uFyJ14K3qXb3sA8ed//ufNv/t3/8689NJLJpfLmY9+9KPmn/yTf2Iee0wUWvv9vvl7f+/vmV/91V81g8HAfPKTnzS/+Iu/aNbX17/Nlc9aKjE1qcRUUTqVknJbRkshkN9ZzyWNQU2KZgoOfVzLcBn1AFiXsITNO52oVVCJXVTlWij3bEONOI/2KuU9UmzR3sw5qCBjA89A3Wm7Or8eNhyVglyDFGPSEKk0TJVrBthI725APZh1IVinwhVQqF2oy9/iPa2XZUEbWCiYRSxmbQQT2S4e7x9K31iqQb0Yz8RgHx17BkLZr0jj5L1ImadCYyE/7zcM0vHafL9j1P3h9yBsvt2W78eAINV42a8J4z9lbUv0Cb6D+3WZtVkvNDal+AgpreWknFstvbA4/qOuFCr7cF5qS7EOCgOCATDkpSTaCEeeVC7WqDpB8PE+PDX+bbyR+lZbaMWPFiSIzU3XpYLQjW9ipiYVgMa6VHuoRUUa+WZRnA7OaXSIWMuL1Lr9Dpyw8nwVcQUeGaTePZFvem5ZPPc1fN/qltyH5QMePyfvhvPhmGULorlzPLCP94fF3s11bZqezunGDHCR3sC6LNFUpygSeNcMjDHolb8j46q7A8VS1Bok3ZcbmhEpuQwqUUVO1TpEEBO1HMuvzv+4dYmBSm7YQN3fIX8YhwgcjSr2DT2p4KOEg3SB4Jyz7h+uP0M747qKfGYqZSdR20rt11jibWBvF+sbjqHGxwAbKb6KWsPr97Cu4ZpUPIzzJvy+EyoA4zsm1HeS80dlOb9wC+8OlL8CFBQhSG/Gjn5FFesUA8CgsrMOUXJpvoYyaEhfcOrwCbgJXUFih+va+y7fsV7nqarMhaTkMQhH+vNqINevoPjRI3mp4VtLzefgFkp30LiZp7WwS/tg8ebi+DXUJOg6ZCTDpD35ezyQj0O1Vj4f3xlpgbmt+fks70OKc6oC2nYgf9dvIZFXkk6mfEcy/I8Q7GM8ZWVgPd+gX6naiAnHeIqC8IuN/UPOYH4317RZYj4fMVDAuUdRFcecizHPkcbpoDOOcKGcDCXTQzkOBjE4VmNXkMEGV91Dtp1zPWnLDD6o0guOAKI6n12WZTeQlBlUMR9j6YvfTcKi/muMMSfYi7K0w92+fBwmKpbxgjlv3B3K5L0E7uYyapWz1NBf37Qn+rcy4nfeH0kbvt69YIwxZiXNQphiT5eEcv3v7z2zOG7B0dF7RYABTquLY+5xmNiI92fG6P17/VjmwnRWrpkryQfkuhLXAwwRYOPuiRRYJn/przFw3F2z+9JrfyzfrHFRvlOf0yX6Euv93+3IPuAEz5fHM23lpRH7hXmn76L8GPfr9SmdDzlkAMxFpSV9l2OViYUB/Qb4P2n4Bz0kiBg0i8c3aw5mOkiE5+hbyTld+I5hHT5lCf4EK6ncRsBxzV7flHMaExEn11B2g8rZeDfxPML3Qt+NFG72JZZZ4Ny5aPtbWNfedgrzl7/8ZfPpT3/afOUrXzFf/OIXzWg0Mj/yIz9iOh1p6Wc+8xnzH//jfzS/9mu/Zr785S+b+/fvmx/90R99u5vizZs3b968/anNr2vevHnz5u27xfya5s2bN2/evlN72xGIv/mbv6n+/7/+1//arK2tmeeee878wA/8gGk0GuaXf/mXza/8yq+YH/7hHzbGGPOFL3zBPP744+YrX/mK+chHPvLA9xpNU2Y2TZkaqBwafWb/OyJwskQnII29BHRfnK0grZCIG4q13G5UF8c53EehDgGTJmqN1GKXAjCphfzb+6Bcp/E7hWEKEVWX2R9mW5PIxFC0hJREZpbZxv22pOFqUKbqQ7lJUcoh2EI1Zz4TUVOt2bcv6M2/mwApQSo26UplZINYHDaL52YWSStbkyYv75fvqQV1qhTUTBunktKoLM0dNX6vo1NJIZSBSE0im6iyW1N7NkopYSPzRpQpIf2kF7EMADNvfDdUi3y5Py+6y6LK1/tCY3h/7qa0C+mNx7OSQWTh5QyQhvUpkHvjqrQXGP0uUlmXM0g7w0jrIk1iH9wZG6KjjRRYVtG7QF2HpC0Lz/P8PjDkpC3/0X3Qlov1xTGpJfzbGualAOlxjsvDCKVIxWQKqnDME9lKSsMUf3uKPnDSle9xdVlQmKTtbRQlY/zNF+ZZ5GnPIQn2kNi7ua6ZZPQfaZlAy1D1thAhCUegplBkJN0hgk3OoUoys6ZJO2hBXTPhQFAQgcfzk0iBk2LWuhgd2xSNjS6+zedXCqswhbijsIiDkkFUyNSF3CPlmsg1ogaiIUlwo1IPJKIpbT+HVGWubvl9iufY3zXBZEq8JYs1A/dSaFaqPEeZ/Ow+fqO6J4zvhRTqWSD37AMpoYVvQM1y0BJJgScKgCrMRN1QvGUWqXofdIEUoa/0LVGbnxQxbwL9z/k0n7azAroJO4qP6PGeoyL5/kAG7L2uoD+2QkF5xBS+nYyghFLoS0ThE3nvMrICAqyHpCJSwIxooDwQSXto++WcrAFcE48Ay/rDk/kacKEiUAn66SzRc/tQoCUUPymsCTyDvh79sskTA+vvrSZK2oAWTcpYiuUEsCYGGE+9GGmyUFXnFR4+ezfXtMQ0QqhjHqIICMdy64IdAUiqIl01opSI4iE9meh4dUwqdNQ2hbBne4nW4fzvuLZGystxERTUBuZ0og75bjhfK6QhbsX5OAaWpbBn2MP+LGaoGGPMnU51cbySlQe80QbEC3ahKGP4CtDSBfjjnGfoAxONSB9/iifZgW8eIxPJHqpPxP8kevRcUZ6Jwk6vn8pzqH0s9jIsbUVKstrPNbGfY2kF0MSDvH3+CZbn74P7TJcyvEL5k9FBCuqenN8Fyu74Senw2WOWjbEj6tjGPphQpYp8v42yDKiUElacD0Du47k2GrAueH+u60ogCWOF44/LGlGHHPNkVFCwr/oCWDbwRXJHZ+MHSkQPxxzzmTao4yhVYCxziDHGNC/gW+KaREbS6MfxuV0IxHheCBtsPH0u+ZkiNQoBSZHAyIgGfTN7x0VUGo35wK7V5l//ueeeM6PRyHziE59YnHPt2jVz/vx58/u///vWawwGA9NsNtV/3rx58+bN25+F+XXNmzdv3rx9t5hf07x58+bN24PaOyqiMp1OzU//9E+bj33sY+app+YFT/f29kwQBKZarapz19fXzd7enuUq81odP/MzP3Pm99ksYWazhMqOsujnhFmAtITzmfFkNlO1neizKMvAmmINILkurUnWhFmcWy3J4FKAYowwdQv16XKoV8i6Z3UUpGYNMtZuoBAI6/ix7mAqeib+xozLxapkl5pAI1VRa+364erieLMizsESxBXY9sZQ3hNrM65A/OOoISmHzZpkktQ3wDPx91g8hdceOeoYEpXH+nGq5g3RfchwsVbcKa5DRChrDSZxzu4R6sxtSl+JRUyIaKywLmFH0gMBagP1UNy3hwLkJrTDh/i9s0DCEnFL8R+KAp2cyLdhkVyiJp4pzutCDZG6uBxKdpI1DWnMWrLOE7OTNJV9xBji+d2ZpHFOkW67M5B54VpOinANpmcRIo8XdhfHf9wShGAtkLFdTAH5gDxMBv3telvqBCUx/lnc//1bgtrczMp4eu743OKYfZLIaCJxG/hmMcqUfZPIRYrzbKzJeGNGsgmENcfQTqW+OOacxj5MtOOlq/N3Oe4MjFQPe7jtnV7X8hsdk8qPFWqKfYBZ38HqvA/kvgGRiB3UAEJNugSywhMIUKQh7MEaiLTwBFneZSAD85xzgOgj+i1tz7imIwQg0X+8/6QEMYMuhD8c2WKiIYlcyR6gXUBzMHPMWluTAtYMomToKuBv4zazaP+oZH+PurC/HU1nIOjArDv/llliirGMUFw83caaCeQnUamW6c/014H2pKBLkvdhnTigHbqOvsQ1E9lwImH5LZWYT9p+nWQPxeeLLPIzn9/2T2Xd4Xo8KUHUDAJx9K1ePpGGbZSkwYdAWtPn6abkRdL/oRXgp5ZRK3cK4aDrHVkz4rrLl7JSgZ1IetbkraZkbcpiPUyio1aT0l7W/iUrYJIESgfoId53Jyt+Yg2iBkTNt5NgxET3Wg6ljXz++lD8281lWY/uYxyw1vQS6oaz9m8az50CHLiNbz8eQGiuKGsW0UaThvgQvR15B4kYHRSzlpL2Mf4w2ju9pqWGxqQSet4q7Ekf7GxiLGPsq1qHRCWzHqJDOIooL4XmAtKHKEUbApF/V7kB9CqQgxQwAZHGQCtPzW35A3mo9rkAv2N+RR22mRKAsddqg1bS4h1MWjI/tENZ+HaTgiBugilVXZfGcw4jE2wFtVs5byjkcu+89ZwGPhprp7K+PIWh4prkuva5tJE1XdNoIxGI3PPRj23WZS/BuvOszZpBzCCPuaLXBcvxBAi8nLyz7glQz515e8arLGxpr+PKtZyMBtXfNuW4dA+MjnPwG4CQI1qP48ZAAKWNeogTsNpYo323K/3mqD0fJGR5cl8RHEJ8E2jhIf0ToPs4hjlHlG/J9+itYI7AM/U27LVsKSLCa8ZCR6wLqJkmOCbQ0OHHuoTjai8iNnBOGkABmKQDZRq27OfQ70xErzhosha03bfj+1Jigxbhnbeid/mOBhA//elPm+eff9787u/+7p/qOp/73OfMZz/72cX/bzabZmdnxxSDgUkHxnSxCpAm8fqJ9KCsw6lzUXLvNuUr56JCqYegxDyzKkEGTlicbF1Bw3rbHlChairFYKpwmO537MXA2yhmemVZKC9UmFrLt8+090pZKCgMbNAxWwGdEQhZs5GXXn7Qk3fDoCxVf0uYhJ9/VQIkFy6Ig0wnlO0kouo4ywABAABJREFUrZbfKS6SywLd2yVxQhnMOCYEGwEVBh9ppNlQYIKBtwK+E4NapLUvFyE8g01KvAFpIfhThwBNEUHhIeDvBdCNizsI+iKoTREe9sOKQ3ijFso3Lmfkvgy0Kgo63k2sWkwalaI04DgA7YcUhHugJ18BZeuVodDNLgbSV1dTTes5DOY9k7u9OH51IOe0IJvFAs2x6AoVLZ8uSYDvFF4aqcp0hrah8LwR1BfHr/ck8M7NGJ2nEfrh41VRzWuMuOqL/d7LVxbHj50Xh/7ptfncpMeS3IciOZwXk6CJMojM8cb5knPaVkG+x8nAgov/LrJ3el1bKbRNujBSDi/niOqKfL84sTF+PyomH8BRL2MOSYtHkaRAC5V+KW5wIGO8c8ke1I+dY2PeEExE4ImbJ6UeHJd2oBIwg0UIIFDFkoE3FUhjAqXP4JL8nAEghs6sCpRRWRp/m7+HDRt+jxWwM1AvZlBNB8b4Muz3V7RzUn+VY0eeDe5FujjKsxRuye+tx5BQ2kPAL7qXou2RUo4gJGlJis5ctD+3UcrS9sdQwcyc/V4TCl+w8DpFaCIFjQmUe8dt9H1S4BFAZEH47aW6nI8H4TlXl2Q9orAIE015cI6K4A4xyMc1ow+a33FEA361L0HFk6GsQRRc+cpQ1oIx/JMPlm4sjrnJ51pNYQSun9e7smbeAqXx0bLcl0Jl9IsOET056c/Xg7SjPgIT8xSUC/BtKHzI4GcDpXuGQ/nbcUe+d6Em6zkDhWP4VKMT7KSyUEJlH46py+3oPr13dPv0rto7vabFxtILbQQNuZFloJD0XaqqDqt28RElpoR2MYgxontioSgrejK6bG8Za52DHs1AHsVVeJ3Tq/LHDOi0duSZqASd7tnnTt6LQYbF+8A81zuQkycIxAxb0paDspzDcjbrBfkgu31ZNOspiGVi/tuGqgPLAm1CLGXqID/eH1UXx/G8dHsk+/g6fGGKu3x9V4QPR5hDntqSffq9lrQ9yNvLOnHfxJJi9WN5N4WKdLgOAoi9llwnd0fmn/5a9HGG+Hgp+jAov4HEaxIJQPal2gtI1CCYyEAWK2dwfWY/HKM9DezfE2jbEWncAUAFqbNzOeMRgw2UQKtDyObITiXurcBfZHI2dPhcSw4/Y2L3O5HnWpQHcI3hoIX4AuaZ7Cn88RIFVeRv2zLVmfoVe9Jbico4AqdKDAWBVs6fcTJhCBEX9hPOhWwjlnXdZ6KhNbEPTau9YyvgT/7kT5rf+I3fMP/9v/93c+6cBIs2NjbMcDg09XpdZbb29/fNxsaG5UrGhGFowjC0/ps3b968efP2bphf17x58+bN23eL+TXNmzdv3ry9VXvbA4iz2cz81E/9lPn1X/9189u//dvm0qVL6t8/8IEPmEwmY770pS+ZT33qU8YYY65fv25u375tnn322bd0r84oMOlRoBBTjIKzOCp/J1qGRhQdkXbxdTIOuvMKMs5HyBBv4j5EADGjvZqjoLvYCWjLLFxLZCIzt6QTEwEYow6NEfQQEXfrwMp+/VScBwrGtMcSqv/gphARu/idtOE7zerimMhBopc2t5GNwrdZzcv7OIF4AyH15eAs/SVHJJVDgIaZ6ypEQKaAXBBVxb9lNopUJ75rFzWe7SEiM35nRPatluV7EXVYBrX5YLe6OCZ6U8HvkZIk/ZEogM2ivX/yudk2voOdfH1xHNOYttPy20vDzcVxgcImlLlH+oOowy1k5L4/JwiKl5CJLABBcTUQ9N1rQ6E1XAnkvnfwtyzwTuGXmLJ1ZyhoC4qo/ElDspyfWH1xcVxLyTfbReF5ZlzvJOSaSxnpewdAajCLW07I977XrS6O+f3ed1nG4mZOULcxbYR97XgoaXcWnCaimfMix1uMIDFGo4I3UbG85xKJ2Z2n5CagfTyM9m6ua7nMyKQzSYUgnWIepY268/deXZF3PqnJ+EmDhjNqyHckyi6zAjolRQkqKH+BjD0Lh08zhGhI3yAiQom0gGY8WSAWMT8e2SmwLDAPALGmFRP1h9/766B9CphLibHwfSRwHWZ8W1ft638sHNK9BOQSMuGKEQNkZP4einxvy3ukII6imwB5qQr0453yvoEMc9PdstMtKUoSoyaTaCO/XaZ9VnDFGGPgBigUqEvsprsl58QiQMYY075AKpKcX31Jzjl9D9Gycpy/i+tcnc979OEUwrQM1glpYqB0EYHdRN9bwfp8u1VdHF8sS2kSzoVEA9IAiFAleMhiSEcfn9e7kJN1kkJiKxm5IhHuJ4DQ/t9Hjy2O31uVda9ECBfsak7Wz4tZue//7/b7FseXKvLcJdCS2ebe6CxPnr7g9QNZs9+zKeVF8itAT2MgPn8owavlkviLLHMzKkMgAOJ5nN8SLGmzJWvZxMFI6ffn15lGyNYEysE8jPZurmmF3ZlJBTPTvASENMVBiESmq4Ax7BIfoKm/xecp3QF9FeIGIIksUD8UKshBjGJMESsKQGCIk4bcB6qKpTDKt6Xvd7alX/MdDMqcvOSQNEqusUOsGQvUJibv4AhrNuitWTAUduuC0Cthv9ECGpEovr98/k8WxxVAPF2CiBRumhj7erQKRlA8jxEtnU/KfPZKR+YNoonPr8icVMc8HmD/MmjIM9WwF6VxH7S5UV8cH6A0xgzrXfoIcx5KHyQjvyjRwB6rivdyKm0foqRHcApfDP26vSXtIrIsOQKlfNuO0GU/HIH5sQyRquND6UwsA8d5NBahYWmtAcpDpPLy+wwslXQXqNhllkfBcwAVNyziObAOZ1pkpMjvLvotxZXS/fl7am/br00acPYE7IM1jCEHi4L+Gscnr9NC6QHONWS7VF8EewLzTvOiHMfvQM15FFlSSE40F75VyiJqM3OIDtrsbQ8gfvrTnza/8iu/Yv79v//3plQqLWplVCoVk8vlTKVSMT/xEz9hPvvZz5parWbK5bL5qZ/6KfPss8++NaVKM6ePpjO6xxQRTKwGMlpYI4EbdTo63DRnC9KLbdQL0vQu5sW52uvL4FvNytc5HkjvoDrqMoKPrJPGIFUDNWIYPAvQdtJUWb+MKrqXK/N2sk4jn5+BLqrsLofinBI2vo9VK4BDyJqNvJeqyRYygIcBMgKXAbaZlxmAVJn4G5NCtIo6Hff61cUxKckqWANq0RjeAAOkXdSCcNHU2U/4u6KAQpn7NJr5SF1n0CeRkHuetKW/Xb4o9FYGKvl+ec/bJxLUWkdAuYtvz8AQv8etfQm8LVflb5+uiKMfB9CqwMpTIbKKjc6XurKJ+aH8y4tj0plbMztdchWBugpWmQ6eYxlYdaq+XQ0lyEhaBes8TaLn7sKzZQDxyYrQIRQNeSb3f7UrTs1KWcb/N04k+PjD6/LcefRDtqWIVZ/96lxOnB324RRWjnhccj5pY1xxPHPccrPL/sBA9kruzTdNpPCdX5q3dxwMzPU3/cs/v/ZurmvjadKYaXJRnsEYYyqY95mgCQpzD4R0Zzp13FSbJfFWqDpKKgudIdaYm6FOm+mQR4G5sGXfeI+hQq8qJkYBJjpjVJh2OWbhsdxHqfIi8EX6rlI8JM05ad+kzRCEG1ZZy9FBm4mOE1AgVgWMUBeQFKWuTAkmw3fHukKr5LjA8cSzsjEMMiZH+H6sr3OAsV0969sEoGIP8T3SoEeTZj1YYbT4zOWMMcZkmqDN4Z4qsIn3lwB9qy15Ta1MjnfZAXXIREFt1jamijcp8xPQUBMZeY7jQ9kkrmFzdf+gujh++rysgVzv6etxHX65JWUsmGRhcGwJc2ecOFrPyTpypy/ntjIyp6fM2e/4xvtzHeFaw3WCm3Wew/rDTy7LOrgMP5FJqu1sXa4fqWJzvaI9uSFr80ZWot5F7Oqa4HrW8nJPJtRp99vim7KETL2L8g4MKMDfZrJWJV8jX6vVml8j8ZDXQHw317R+LWFSYUIF3vIoo9jdPPs3xhi1YLC+mIp5k6oIqjKDEkMElBmgIA04FkCHyLgKcriohKQhMyih6KK4T/0R+WMGH6ksTZqji6q8dF1ucJrH81mWYZafmNTFv81vytyiygcg8dgZyj6IoAMayyAwQc8SPT1EwQppGducu1gOKAZ8sKRQBv/Oue3SquzBT3tvXkInW5UOxJp/Dc4P2KuxdvykKc+RVHWl7QnEeJ1KoKRG6hB7r2V8VKxvLF/CgBl9FfaNMXw09iuOG44ProOsX1hdxh4RJTtmOL9+MP/GYUW+4whK1QkklpN4F6TmMsHZQ2JXsds5hjDOWCqFflHxNtZ2BNbU30bviWOYgcfUGNRqx/in/6fqCGI54vzTRn1KUsqpLM9dL4OVgyX8A7999C4ZQEQeUZeEYYCWavY4zkeU8snwwde1tz2A+M//+T83xhjzQz/0Q+r3L3zhC+av/bW/Zowx5hd+4RdMMpk0n/rUp8xgMDCf/OQnzS/+4i++3U3x5s2bN2/e/tTm1zVv3rx58/bdYn5N8+bNmzdv36m9IxTmN7NsNms+//nPm89//vN/qntVgoHJBDNz/UQyu0+v7FrPJboGKF6FzFGUVYtYALPMRI0xy0JaMdFFr0GNmJTrU2RtnyxLRruYltDwHx1Jev3RilBWXRldF5Ixbj+zP6OZnWJDxCZRh7R14IJZNLuQl7azLRSDKOD5iLRRojbImpXSdnpMMpIiyiTsWSzSAK+UkKXCe+fzNSFXdADRnBVQzWtQE2zimS4VBTrfQfqjDUSoKjQbPTeFLNqgC+SRXV8Hmk0p6gJhxCx6Fn97bU2oSHX0Q96LbegDbbm+LN+YxYaJDojpwddAGf4IKE8ZI238WO5VuTag4rRb44z193JCnukE6RUqOFOZsgX5OqIpiECkcnT8txRW4fWoOEn7FqBEVHCmivdf2hK6h1KNRvqI9yICcRVlBjZCSdsdI9NLGlyM0D2aSP+91ZQ0VnZJ3oVCygJRwb6xglIQRLFwDJ3PS9/nfHipOO8HQ/PmyMU/z/ZurmsH7ZJJTUPTakj/7a9IH2h35NvMIrodM8gUE5iAVqKUg3E8o+AJkW0ExTVBX4HwxhB06XEJKMhj0FYgxMHlJkaxMfs72ASqtkNkJLLlFTsSMNOQ+5CSQjXMcZGZYGbscU2iEYFcSzdBrwbaINWcv2Mi4hSSk+93AIVIFMcnJZht0UIyQJlgOBFpSKRJUViqiv6nkDxUMo4p6w7kJxERTqU+oBQyDkQq38eUtGz8bfYY3xvfL91BXyL9GIrds4hiT/GMwrKMn1YfKuYYHysVmefoN+2U64vjD6/dWhwvg+nA+boLvhDXAPoi9LtI/yPi/XJuLtKSTNjRhTRej/fn71eLsj7fG1QXxy34wJtAAN7oCJ+Ovin9TvpuN5rCVigC7Rz7m3c6sgYdQM36chWUQyhcsO1sI9cgIuW5ZrUgrkKWRj6AeAwoeY190BLX7GVkYgROjFqd9t/27dO7au/mmjbJGGMyGvVD2q0SP+GcA4QVJ/sEJiCuAdDvUPeicEphD34O6KD9qMoMETohFE4HFTstlMIF6Yb9dyKgRwV76YzsCZBavCZQY6RrkuZcuiPXaVyZ/64UXlEOJNyHr7ACET/Mha2MjKUxVRXwPe72ZTw/WhA46blAxjONJRcookJ/nEjnW4P5/EO15VeB4l4BiptluR5bknmO8+9z92QfzXJPVGqmwOAEfYzIRIosUawtCaYBfYHSK/PfW48DxYj1SrEJcM9xWa6Rg8+l1HUp2gN0X5pBDpdQ2RB+wx9WF8eJD2MQ0RXBXJgMJ9FvKLlRlOebHQCNSIICxjnFPKbwW/gO2Pf5TEOg8hIT0Iy35PcQPoRSYY/eAZdVziGjkt25SQ0g4oRz6IcsvwAm5mVQ1jEXgQCmvoetjW/8W03FjtrCcgoUhcL7yrTBOMrZn6+zEa1vA5dzd9Ye6hXw67fPmWQ+ay6uixpee4ygCBwdBqz+/3cvLo4ZmCEdgpTVmDZMqgnpotdbgr+lc0PnKt5IG6MDaaRCHw9lBijj6+8U67g+oOV4VraH1FvWNYuDV4d9WZ0qAWcaMXVt9OznjmUSfqYmTuW9rtTG2CnIBLQPSvef3JFAy1Pn5G9dNQtJR2dQ4pWmLCKXSmcXq0O8R/YH1ughDZnXptoga8UxAFPGdZpwWgMELhk0ZFCZfSymx/AbvYxgOANjFUfQkLRsLpakkVNJmQstA4JlQPqnjt1hWASk3xKQq2IhrmNyLqH/VHBOMSFtzCTkHeVBFxiAzjzC82WmuH9S+tsePCzWk7qOmoyuGi2xkQZdQtEQ1pNiMDGFTTDHCq/dBx2dSpfnQwS14Q1wI0m1TbadAURutuING8fw4zWhvfcRgFd1VFFH8XJZ2sU5ioFK2sHAXsvxfHY+PvvBwx1AfDet+1rFJLNZM6vJOzu4I/NP+hRqo7V5H2uBhhzclTkBw8qMy6DYsD4dNjcMRik6Ko77a6Sn2J+BjgwdwkkJtXHS0UlT+3xTuC0X6WyzPh5qI4JWy2mrtwE6LAJWbC+DcJw7ef1ZmsEbPBSDYFEtx2QX9dVwH013tjvH4xLuie+RQX0kRQVHU+h8p9CG+mNvHiDg+4u/MVVQWY9xhleRAYV5GtJRxwYISsrcULGN7If8W1KzJlD3VoFeBldRfzNm4RZ2ZK5aRgLQtb4xicbzOefRL6PCsisRy6QQ14YeEkdTvAPWMjyKdoRXsjL/c01JoWORBki15QI27fQnaFwnua5/oHDTev6lUJ7pxkD8FfqpLMXSjCjdrLt4WoTfC8r3UV8+/BGiFaxNfdyV30m7XCqQnyd23MR1UOcyiSACN79M3CRPUT8xGmeJXFRjM/3mgV1vc5ul5v8pWi9iMq6audwEz1ByYoT5cprhHCLnF+9hTGzYkxla8TW+j/zWXUPQEK6PCj6w7awvhraTTpmT7aoZLOO4imsyMUbqNGqZddelbayFF085TKixnjBLSCQxHqbwIap5aTzr23MM0zgXrqZRbgovhIkQ1kPMAhhQw5jMZudj8k+6suf8SE1qorN+eC2U9nbxslkibAM6AfdOqtKWon1t6IK6PcVakwI9d1JB0AzJwQRqALavRrWFkRBNLCPDicCfOZA5mr7HsIJa9Njyoom6lAnW5ODUeopJtZB0OodOfCpzc7J+dv4zxphMbb4PGeOZWe7BMECK+7D0CevyMZmraL2kB2OrlkSQy5Vfc43LsD47c09XTUNFBc/Z71nYk/9z+F7sY1GiQdVpZOKTelP8NkhQuILBcRs49jVdHb7S1O43kf68eO/2LZ7V3oJgszdv3rx58+bNmzdv3rx58+bNmzdv3r7X7KFGIH7o4i2TKQTmXlvQb0SHMZtAuu3T6xIapuBIA/TOIam/EaqQ9NoOUH7n8xLi7yHjTEVmUgWp+ruBAtl1IBOZwSWih4g+0mwugD5LVBoRch9YnmePWOyagiQ22rYxxrzcEgj5B5ZF+bWD8PlxT561hXdKBel8HtRtIOSooEyE3DaUfklLrgJRV4i4ahkgP19rC/XmYkGQVPd7VWMzIgOIEOQ7eAqFw19uSNa9gPP/6M75xfFyGbRPUGiqEENYjQRN+H0LgZ3aTfvmi3Kfpx+/vThm/z3tyPtNOFSgWRiY3/5eQ8YTqZGbVfAzYE+H836VT0hfeomcEVhrKu2aBoKKy4M3mE3Y0RzFhPTrECnruxM5/i/N9yyOf6T0zcUxURk8vhhIOjhuG5Edy5Cp+taI1fzFTibS9xtIAZHKwT5GxEdXSWiJVZC+psAM70V19HTmLBQsVEIzcu4aKNFEDhIJXM3I/ccze56J6N5zufrimNS++PkGDpSZt7M2CadzsQ2gAZktHhfOousSEINQBdOBWkuRUorPMQE6LOFAFCZBdxlDQZCKdaRIj6qOC0EoY3FEFBooMZ0doEycAiZ2GjAz1ETZUaQl07T/PnbQaRT9mt9jKXofZH/j/qOavK/Sy/KdBgJ215RgVaCbKWc5nAKJlwIFKgQ6oXPeLiTD67AYeYx2ZLtIvaMQikIPDIiEAYJjxy6uopS4+XxApyt6ORGyVJwGCpR08BhhQ6Q+jWqcTVBdl4Dyr0IcpIt5jmIenC/XM7I2EsnIeT+JAcI1hqjC1iR35vevty8sfntfUSjUEN1U6MKtjPhcREASvU5UzzN5+HRYGzNJO9qRKsWXQimpEyoRNbnX1ezc384rNKQ8ZyOLY6yfLFXzUlNYPr2B/P7oqtyfxm9z0JA1rliUdlFVNMyibceyxs6WWY5nfs3pgsrn17QHtXR/LppOhAzn04IQkhQSjxRNrk0c71RS5vmtHbvfQndGqSlHUzMZuEO0JQAym8b7KwQiUEQJILmDFtYyoKqIvGIJDnYzRWfGHBwryxojCKPBJoRAwVqYgUmklJqL6OuYsIuBNIZMN85t/+XgqcXx/7D2/OK4oeYzOZ/jfAWQdzJvYsQiUdl9hWiUNr5yKnu+zZLs9YMk0NjYq5F6yzjB/cPq4tgcyt+GOyhrMGC/IpMDfhTaNosozwkgEKegA2cgTDgmwj5lX/uJ3FVCRHgO0pnpl9RAsb2/jD5BATi8m+yeHPe2gLyMzzmVfUUWSt/9y/KuuU4rkQ+MFfp0RNxRQARAVYMKWaa7ibW0bffX8EgL4V1uvZRLyXIKYKnkD6fWc4j2dJliuzhoyzNHtyrs2qnTorZuvydFdeinE9HMbXocOpu9BbKYRyB68+bNmzdv3rx58+bNmzdv3rx58+bNaQ81AnE6S5jpLGFKyJAwm/A7168ujv/GB35nccy6XxQ0IQqrbxH2qACV861TqQC6vSbZ5z0gBIluJLJtCdltioPwb9MITRM99PKRoN8uLkmqLIUwNOtBnADpFxsFZZooTn0EFOEjFUFmuWoGEYWZcNQxpBHx9kRVUienQGqyjuAS0m2sMXSvJQi5uDA4s1tEMbI2B7/pcR8iKqhqym98iNo8/B7XKlKT6AZqJl5clbQI64akkkTdyLuphd0z187hHe01pD/UVuRdvO/Jm4tjF+J2UoAMPFCEJ2157k3UBOHfssBwLS/nZIHcICou/jatmbTlGrKKGaALO1O53oBFilljjSIjSMvsYRy8B7VN/nNbsp8/Vv3q4vjmSL5NLWUXQDkcCzohriNF1Ma9qVxjLSNtZ38j2qJtZDyVkILOJuS78p73UA24gtQbayz+1skTi+MV9FXWUmW9w1r0bpj9HaLvp0NpO4vQ85mIXjxBnSsipmmsI0pU80k0tofDt1BY43vdkvP/iDpUdf+A+JpEwhZK7OMUSDFmomEK+aVqouA+EKxg1nK8DiQV+hJrio3qgEeEyMxjLpzFbcCpM6SKkw2keZnRZw2ZHNGTLtSh/RzWcuTvzJgbhVah4AfaGSMAE2dRIPP/I4etKxBfgYAJxUGYlR4uyf+pfUPeR+Mqsu6oK9Q5j/pWRPqhjiCLtrOmYCyCo+pjwpSIigMROk3bEal81gkQtERtUMyHiFD1PdhXM/b2xIiPEVAeeaACWd96pQwhFIjLPVkUSBR9iIuBIN6qSVmTKeKWZZ1C+GU8Rjk3k8HvQeLsu5+UXpRjvmueg07WwlxcA/SBwmNXgf6ndQDLaM1kLdsbVRfHKTzr/kh8sRHu28WgXiATHbWq+F64jvSw3vfwzVjLjP7Pt47FJ18tALV0JOvg2hXx3fbhF02AkE/lgNBinclofqOwircHs8QkmtcwnxLpR2QiUYRE62CrphBARAkqZBDrp8H9oIjJ1u/IGL7//fkzbUkSCQjjnKeQTnbijbJ0F3Mx+hJRh0p0AUIuE9R7LB5CmAVoo3h4pkoQ7UBNPsKxJn3UTg5Rc7kljsNjQPne71cXxxRO+ZvbX5bfM7J3DDl+HEAtzmmsc34YfcAXBlI7/xWgsS/npF3vW5PajKzxTVvJihNzYV32anePxQdfrmI9wDlkDd3ZlT1BpSbntztATxJNH9UyHC8B7Yk61UMwLQKwRAY5h2AY+nXQYl+S6zcvoT4w+v7Jo4T94ToloDPvSSfuPAJRuxZEQSLkYZJ1iyluh3Oz+3ZkZAZoWtY3zB5DBHZZHpzCQkRhqrqq8FFCiBL1UWt0FD0SwxREF/fl86q5qLMJFg58VmrZEiFM9CRroLrqp9rqsc7/Fn6cqqUa1eS11EU0Rs8Vhq702H5+/E6pmfRm9lAHEGPbzIlDQZGR91wWagYDUAyWMHhEygRpK/H56yEkcNg5cL2bDfkHqpfSOR1N7Q7I2PE7RVGurdgVpkaYYRgUWMvJ8+1GAUrC06sQUVmFqpWLPksHj+3KgKZLigsps5yEqXxMR9FJl8SIKiBgHAcoqpiNeA1SjvjdL5SE5kNxHCrLEiJ/qyOzCgVxqPxHo3LZGpxZtiGmAzBYc9SRGevSitynA1r6Zl4W6MO+zMjcJClBFagRr5TkvZfxHhlcZcCRm3u2nZuFe+OqMcaYbELatY7+MILaXykpfRPrgaItJ+FlTrHrqCVllv8GCijvZMQTPYGK20X8/gKoWVtp+favDGXTcTXcje6PorgTuc+LfXFknskJdfz1oVD8i2l70PD5ntCfH8/ZBYRIZ2Yw73xOnoN9Za2MYtX4Hs0ocMj5ZOqgW61nEdDFNTg+n6iIo0gqG8c/bR/yirF65shvuh7YEqOESaQTasPNYAmdgTjIp2jFGYylnn0+pePAcyYQWkkfw3lTapj4WwQNg4CCR1DhY9Cwx7llfq90FqUzOtKnGPQiZY3BT5eoBoOGquA26R4j+zV5ThIOPeng6S6oMlE0SNG2eR8HfZ8BPgZuVcAM37r+OIKGLVB24bhPc6SO44/xe/aO/K7oysHZYLR6vw4atFIYhbiBDlQau5Ge17H31RA0qsEyGoH3RIGZTLQZ2qpIYvccyszQP7jblAAYkzNUMub6Ukpwfkd/n9nnWjXvYtBx08w5lW8gXhPDhN0XyzzAmplEQksKn7htAP5Sd1ZfHLcyx/hd7nUvLXP93ljeJcVbYtGwF3uyfjJBdhO7u21UhD9BYvmjqyKesI5EHpNkLLtxE/7ae54Q2jf9nDAj36+ck+96tynXZICg1TqbjPf2gJaY/2fRrDPGvGF94Z9hnSJVmArO689J8GP/g9hLkP7s2JzvfRj+ftT1SaHMHyAphsBjv8q1w952zYuEP34lZftZqc0rSidEGqarEFA8Z6eGxs+Xxno8aMt7CQryvtaq4lOv5+Ui9AvL8GnHVHUPJQnBoOFKColHzEsDgwQ11qYpyyPgpRWiuTaTkH38alray3IL3ZwcUx2awi1FCKn+7o3Li+OPX3pd2gX/ercnnYxrRiqQ55hir1tCeYQhxGnGke+bRLKVga7V/0e+zelji0Pll7H/YvozjUuONRPB+fItuW9/CZRkqQphMmk806YMgAQSwdM8fIvId+JvaSR8mXxm4K8on1IlBxjzbZ3DWoalj0FG+hwBStHwfAqwMDgf3yt3DD8HiTt1H3vO2MyY2BDXwgxkCTRpJN05PhniYGCT4jiOMIiyQRSQZtgoFJdHXYPP5BJrWvSxt1CZw1OYvXnz5s2bN2/evHnz5s2bN2/evHnz5rSHGoG4ErRNGGaUKAmFS4rAvLM468WChHqJ3LvbqS6OSZm4Up5nX4nQaQGhyN/JQGHGg4IDpNgSOUdqDdGQpNs+WhHYNinEpDAS1UQ4dyzkQoQiz93MSfiaCEQiz/iseTwf2xgAdUh67tMrIkTCjD0L8x51IRIRyDPd61YXx09UJPMVI07rqAa6nZfneLkl9EstZGMPs+91JF1Sy8q3IVKTQja046a0/bF1QYryb/k9YrRjISf9dKMoGTZ+m32IXRwP5D4UyQmA+ovp0cZoUZQrNUESZIm9hpVQUJyZtwze2TFSxoXC/PwsvvUfDASVxyLxq6ASl1EVN48+kE2AHqjQHGLsP0+E0q9eGcr3riblvWdB5coiHfOV5pXF8ZOr94wxgqg0xpg6REvOQ3Cli+znPWDVNwPpexPkZyio8scdwYIsAelH1CHRiMyKEom7hN9Z8P5bJ3NU5bWyjJO7XWkjSyU8XhR04X2kz3gfjpUW0noc/5wPiUyM57TxwOeqHtRS/aRJmqSmZTLjeojsdkQ7VcXQkYXsIQtbeQXfkRQXTAMzoBeZzZ2S8oxvOUIqdkbEBYpyzzpyTnZPrt9fm7dhApRbsuXIYoPKy99VIWxcx5XBzYFOw+LbhTvMzNurUifx3BRsWYh/UKOGkxWP0UYiFhUaEd861bajQwdE7JB+DeGdTAOshIIdMcP7xn0sAcTmlOgaB0Wc7Z1CgCaPd9pfJVIU348CPkAUTnJAOm8TiYr3AYQqEZazaCxwDeQcynWvlpdzlOgeRFFex5pCo3AJy1jcGkpB/0dCmV+f74lwyeO5e4vjEYQBiNzbSM3bUEuxRI/cv4L+lsGamXJACFxIRtrUwTMmtXoElNByStYvUptTlsru06ys00Os308V5F0E8BVCUDBruA/X8hLExijiokpqYDK40RTIB2mG9A1XV+EHU0wxQh6Fkb8zCRz8Vm9nbJw1Zha+sTyD/Vy65qQQEy1NgZLdj0BMDhRCLJ8KVahQz/g9JisRCTjNQFDiBPOcWnfQLhflGc+tRAywleC8zOcbloFEI2IIqKIhkE82tLdC+Q/tey8y0zIONbUyxhtLOLCEwi1SpLEovj4UyNtllIKgr0vWTini3pJVxL3E/kj2GPRdaSzzQ/Tk9124ZTtd2fPfuCj33US5CotgoTHGNIFc5vQ3HcznkLAChCI65+GzFLqTNvJbV1+W/0N6Mvs7UWZE9DUvyDWJuuP6OYQwFZGrszKozV3EOYrRO+jb/UWi7zjG+qv2c0jNVcsXjrOy/VqwPozRSMYx/AYKsVFsJtOdn9PexsUdQiQh0IVsI33s3DGEhVBOpnWeJWrs16efqsRx9hHDAfVdlWiIjulrpgbwaffAbHxKXhKGvJprY5Rk8i1Um3qoA4jF1MCEqal5vSsOG+mo+RQDePL1CckeYUN82BE66OPLZ2vEnCBoso1g2y425Dvl+uL4fkd+L0M5mFRT2p1GdXG8idpznaG0nfRn1lIk9fb1U1lpGVR6ZGk+AqlY9X3rQsXkZDt0UJjruA+VCpcRbEuDsnaMOoIMOOwP7EE41oo8Gsrf7iOwd7koM0kcOCV1nc9x2pP2Pgkl5dttUM3R9pWcfaQf9VmnEcEufMv3bYsjfA/fngHr30OdnqXc/L5bWZlFWggIbhakD+ShzvzaiTjBpN40B9KXqfa8XpKgJIPX06QcM3jdhTphB+/9veelzgjpRQfj+bNeTNcXv+2k5ZkZWKQz35xJv/5Kd2txfDWQ2f7mSFaca4F8vw2oIwfY9HADRsW2qxlxWA4RFPyfal9fHNcjZcg7I3m/pEzQ0ZmSmoE5hxual/vyrYvwCK9kJbh8dwivGEaVOm7MGNg7xPjgnBbXbP3jE6GMfXhFHKbdvjhbTVDAWEqAG27+/uKpOIHPrt1cHJPiv56Vd3YnDvwn7RtTb2dtkp2aWW5qzBJVEcXQPRceQAIBu84V+XYJ0EiPP4yA86GM8RGUeGfYVA+XQE8+lXUHS4AxUBacNLFmOJRzU9zgRc6yYuwiQETnisElVa+QvjycwABqfHy+zja5o6j/Z6khNf8dgVsE5Lh5W2wC+VsVF2G9LDxTGvRoBt5UIHRsd3ITqGmVgFpkbg8B0nNoA1S0VWCY1PioL9EJniKYOHb0E1VrERuj3haDhgbn4zmG9ncQHss1exvYuCPgOENtTTNAP4zeH4NCXK+4lrPudRG7/2tISq0yeIVrjliOBLu992fvWc+5Fsi8P3EE+VQd4+icPawFTH4doNRIgBfM4Bx/72C9ZQKOibaXh5uL4ydDKbXxX1rvXRz/QOGlxfHeRNaSw7H4PNvgdb3Qn6/tXEupNs11levkADvDEyPfLDNFwhn8uCY5azD6rKc9uS+Dx/SdVK1nDNhpNO8ko34382vaA1uma0xq/IYaYXB9uCFnQIABOVLvFD1vZP+dRoVjzqNUVu1X53/MYFztBfnDw/eCBgwaKeseMsjAICDbmBoiQdS3rzvc5A8qCBhhe8IgJispjZfm/TdA/8wVpAHlrDSs0cd4gAr9/V51ccx9Zi2POoIYz+spGT8vjqTxVUz2H87K/oH1z1dR3ot1ErtR6Y+dtHSO1+D8UNWdoI5zubpcBGsd9x4F7EW/cSh7jyew7//4h6T27F5P5pkuykmxXBdLZqikezS39JGMSG6jXMaxdKDJEurnQjmb9Hn6HqTGuqinmh5MhJNcaHOlbv3bw6bsMZJ35RtPz837EP2AKXzQZAOlBBAY4/hXvhtrPHIMYfx3zuEcBD/TTSaUpT21F1Bbt4r9Wjmi/tJdxbjiOGSpBJY+YLtOiyhJ4CjVQnV2Xt9Vs7W3LN+pfFv+gPTueAmlP9VdA9irKh8eeBdTeU2u17yIJG80H0/eQl7Mw0K8efPmzZs3b968efPmzZs3b968efPmtIcagRgbKcwUK7nflfDxClBeRNfwb4k6JA1vGGVyiN7KIaVUAw35jxpCU7lcEboojVDxuz1Bwm0jg0Gaai0n1ycFNoe0GrNET62ClggkXHM4D3FfqEh2mNTD+N+N0YpVqij4jMfyPijAQtoy0YAudSwqH18/FVj6Tqm+OL5StatCx9cnLZsUpfeuCBqAz0F6MJWqqWDN+xwBfZoHSpFoUipIX6sK2oAINSJR43v1kHKlYjNFMHaK9cXxMC/XO4Ry9uWKoP74PojqZBHxNjJpfI6ryxBpydurW9cC9o95PzgGpauK7CDRGaRG5FFU+elQspMlvMedtCBkR8gc7wHBcDwFKhZoitdAcfhAKNV7741lzGVBo/4Xd3/IGGPMj6y9sPithbQQ287fWfidRkrVSx1Bdjyal3mmgpTc6z1BWxJRSNQhUTJEHRN5PYyw7R9alndHYzkFzpEXijIvcGz/1itS2fnpHUGljDAfEgFM9fILEfp2OPMqzA9q6fWeSeZnSpSE1gEFNEaopVgEG+fOULg7lYaIQx5UGYh8zEqE0dmLeCuKGdCApIxQyW0KVBpVgsNIpGWaJWXWjnILoCxN+jARdBQ2Kch0Yvor8nvnEpB7zDRX7Ol7IkGU0Ap+X7QhwWy8/LsSRSE9GNlyCr0wW0zqegIU6lmIY1xnAiRlGvRnisosaO9Gv9dRhCDQiqiExchh2JT+Q+EUImqU0jc6DWlGCYeq8rhg71cKMYl+qwRbov7BOYkCeCwPQ3/jmU1ZI4gQ5PpVAmqf4mAEUyiBFMNzUGbAQRXG5Rd/SyVlWsrBl3RRmCem/6bnXMB6yxb+RPVri2NSmC8CutGf7RqbXY4EFloYFBRA6KMMAtH2LB/C9ZbnbIAJxGuSXt7ISoe+WhS/jEh8TBfKX9obC/IoDOdzR4xcHM88hflBbVA1JhVqxA1phRQTYMdTKHQHJZkCLJyvqfEGsoahu9ajymt0DhE9x0/JRdh2oiSJaFSoQ6KuMYSJKOQ6QlRjuo9SF5jTOWypaDuoAr29PH85ZZRG4v6pgH0jS2iRafIIfFSyeogiLmCyChPyQh5Rvsibi+ex/EIa56ciMRYKRG2lxEf9Mn6vA0H8F8A0O8L47eOj1bEv/RBYeBQPJErbVYIsCd+mjJJpXHvivWYBf7cL7nq4hE6DvjTEutdbQykFB/WXCLbSXRlE3TX6AXJOCr4hBXSIlDxJytw5Ood2xsZlBMwJtoXlSCj+5kL0KUEljH+KKLVX7Txc+nTHT6GsB5oeLxP5+/hN0aDlOAN1ZuXzkXJNl4S6dUJ6U+hpKj6zvfyuxV25aAMowdI9+EjRO+5uyPOTcs32sp80L9hxg/H8M/leoTAnEzOTTMzMIwVxCrjZzkGa/BQUFk4ML9SFksegD4NQrI0o18CGBtd7pHKE3+Wcg57M9lfL0rO48T8AhZpBQwZ3drsyITLwNuCkRpVlBKziwMLroMAuFeQ+o4k8B+sI9rE43O3A6YLq3vtWEajDc/M9HkExmHUB/1/23jtKsrO8838qx66qzmHyjEajiAQCDbJJNjKS8BJsWIJlgwAjE7TAkW30Y00Q3rWFgQWtsQHvWZuwgA32AbHHBtkECRYQAgkECAVmpMkznbu6qrpy3fv7o+rW83nV90oj0ITueZ9zdHTn9q173xye9/t9vnRi5gGjp5MvalCHVjsLOWAX4RAcgEP5EOqxjAlnMqszN52G9QAa9/0z2mbOn9BVkLEZGdHRiU7UDBannpNvual/J+X857P6nQvH9TssU9Lb83ktO76zCMcwVaM3ZgG5x0zACWR2Wdsb027EwgyvXkh/eumy/vWzBpTyxHhPoxEt9yKcgCKoD+D1EfaiHx9FRORQQ9tzBHSH8+NaB/sR1/Dz00/rXz8pr+32GSN7RcR0FO4BDXlTQg8EliDxt4wZh3SsESy26Fz+6vR5/etnj+3tXx+raX8ay+tv2Sa5yOPYwQOEebebNvYT9j2GdjgIqsq2rDqgSQf79e2qUsdDANJc2CbpmN6Y6tG9DAlXa49msXhHIvG2oeTOsTAE5WPpxddx0UbCiNHjIN6RQyVs0D9DoCEbC0I4vhrD+k7DkcU4jXQmMrZewCqjMdZZ9Y5IBXQQrHOaoAQbKsH4bRiUn+Vd/s45w/CegQNcrOsjpO1yY0snXH+6ZdAtLP4jVSzgR7iTBB2FMS4X6Zzzd/Y1qLRNutsQqD1UNSYtmlRoH8ewQcPhWpN+UHzHoHzD4RhGXRrKhljMxqCg2IKaNN/jpPydbYbzkerTPcdipaVjWC2uH01hrBpgaBnMY3RGPQxFTR5QeSEvHvk8HV90doXRgBhDtwBeP1VDvXhgOcRXDBvhOnQcp6MyHDDW0mnJudQvXqGISAzPmNre/v0pGfDdSO/XEZRvBrHOGGqE9OsY1kKMfcb1JUOGMDZirON/+MJ1DtsB6Zucb5fKui7xFOLjhaKIiIQjLBVrj2ahTvc/btQZti7IUUjHAscNOs+44ed4xXnHdfyfIR3Uc3oEUhvpEDQUYfEdxjSDg4RpH75L293yNv0x6dTNAR40IQ3G6SAucYiUSnTfv2tQ97McV3jNdfxwXJ1IXFNflNbwN8Y4h4CsRQcOKBRCFYUTFFqB620jbnkv7moWsVvpbGRaXjj5s/414y7OIqAlxznG1N+UUa8L/Qd0Ms5WtcExxj9tBnv8BJ6ZLnW9dqm41nttRb8T4sEjT145zAaEQUku6R/Km7CGgWOc7Zm/7VQRtgohrBhGq7rsH9fRW+vx8JnrH2MdgPWXMUVwDgo4izEUixlHGd81nPBYIyG0rlQ07Hy/PBhCwcgbY5oGhD5IAhvG8ceIXUpVdao5Y7wgpZvfbWb9y4z3vXzwwINjDtxDkoRjEVgWIx/e1rLjP437mqUwW7NmzZo1a9asWbNmzZo1a9asWbNmLdDWNAKx0klIqxOTCFy0m5KKomGAZSIQSWGm+EcHJ4+LoBBHfSjMNCL+CHUmEueCgsKqeepDFOFYRk9x+E7SUcdT+gxppLUAZBBRdN47R7L6DoOCm1RXPsuI6L4pCHvwJIZ0yuGEvp9If4qrVIGkug+IPp7GLAOCv9IAsgvp35nrIj4rzdX1JSJypKrHnAwYXEMAcoq7kLp+oKhU122D2q5qLX8q9pbcku99IgDZhpK9qPtEDPDvW4b0fWwDrNOzBxXNSoEdJwAlwG8FoQ7ncNpGhOU9h1SU41hWsfDPLXQpv1NAA7x5+LuaroATDQaYJ+V5AfTkn7c0wPHmGCjaOK7ZFNNjFPOElEfTas8c3uN7n0qang0CV87xhNRjKryTtkz6BCnJm0FHJ61iOKHf4skpFdYXG9rPpit4/wjGkV44gYcrKpaUDDg1zUCch+2B6Gl+kzQNtmteG9T/Xr9stSyF+Xit1QqL04pIo4RT6hiOMGtAdlW71wxg7UIZLwbxk3bWX4CCVNpQyX9JQNRfFDSUMEQwmmNQUJ2GYh+QjM1BH7EQUJWJCEniNLk5jLSjKEIUQiFakGBAKDhHlyG2gUDc5W2kReP0nMrARB1iHPXoswZOjmIYRNBxLHT8T5mJOuQJfANlkDkAehVEc8JUKU74lweRAvWR1eg+0oRDLf95xMmAooU2Q0CCU8Aa4qiOcwYyYCO+BdQqFw6hOCAGaNsUmzHBb933HCjp/M0wJVwfPHxEw0YUN+o4twzlzwHACmZF5z2iaEjDJRKOa0qi74l2JN02AWTeotOdh2cAX6D4SDi0uu5ETHQ8UfB3l7f0r389r8j3fZDGpMCXwfRAnqiU6oeYFDGRl/o+zX/HEIuBiBzyxzLlHEs6M9Wy+X4+swRO/jzCaxTB0uCaiuwUI+xDrx16wnydGqG61h7NIg2RiJhIHFIYSUkOYOwbCB0DDRggpGWITuG7pEgaaKDe8ovoxjpQSkRJMb0UsiCq0kBGIi3FHRA3ALrQEEup+aOtGF4iSuYrhk5vTXd+Vhk42xLar4ngLUAgikhAoy8j8WT+EHF8FIyVIKRhzoep9EgrY2+80KMzx4F/XsCanmnnOnoRCPCtgFgtYlwk82gGShlpoJJZTmQWcsybrjFMmu4JfnxU90qjuW4DoSBJFHNaB6FiXFxTUI5m0G0R/oWIWz5DBKLBOECbfGhO9woOmSRks6zoSxMz3Ze28lirBMzH8WX/NUR6Fmsu9G034v88GQdUq+b6ygFsPsQQS+ijzUL3/+xLRA5GVm8Du4bqqKrLwkRMA1FI9LKn/Cxioos5jrCeOI74KcWLaF2yrkFEM+ntFKahiB3T7jV9/62ir1kEojVr1qxZs2bNmjVr1qxZs2bNmjVr1gJtTSMQh2MVScZi0sFJAU9LiMobS5TFz4g+y8I1+/+O7uhfnzvZDSibS+gJygNG7EQNOMuTTIoSEIHE01yeFg8lEMesrvenEI+QcVtoRF7eNa+E/80DmgbvRIVx9ogW2lfU47bzBhQxyVgQjHVGlBJRikQvMpZaLqZlQKTfU6c0eDljRzCO32Jcr8eAwvTQnCXG9ssU+9eMg5SGKMt8nTH31EaBnhScPjYRH7JS029tntRyn0ZQbiIyif6qo8v1yw8nqHyWSEAGQa609PuMDckT9SGg2YhmZdkdqWh6hxFzk7GHWN9P37q/fz2NWJzeKWMDbYmaBMlwABqS4jxIYzqkaZ9gkAgY0YtH2noKSNTCNGJ07oj7n8CelVCEpYdAPNRCjFAgEIcjWnYLnazvM3y3gUzEiS77B099Mzji5jOMdbg1o+2N40UM7SDWi5FHlG8yYNxgvBOKH1UxLhF1OIA+bMQ9JEqyvnq8CAfBCqytsk4rIm4rYsQDpDhGGLHznB6SMFQGCgwnsgxgnT6K+EGb/GHBhvDGiD+yzUAyxvxPnSmsQXSkGfC6F0cHMRiJ8uvkgHosIog4TkibQeg+xvwDohDd1hQ9YQw9xlhkHD/EMqRgiwfKqG1CwtAfQ0AqhYDYjJUpDIMyzVIJAAgDIDWbOX+Bm8QiUJsF/zqOQACFMQjr415MSmSD389rHw7V9KFIjfG68DwQkM0NurZqDwCJRiRjFQh61Gt4Wcd0pscZxpiC9h/qIUJnQzovLMR1POvUwQAZ1jH957WN/evNiHdLtCAFBbjuTIved3AubyLt/NEtyYCxMdeDQvAdQ5iDaETxTcV0zUdU3m8W7u9fE2G5AZHXid6JGfMBxnfMDURnfmNOxbbOy+u8uthDoZ+d0XVyLCAGWjgg1nXd8Wd97G8oerKK9T5R+4zbTfTpChhCXHeSjeHFk+umrdueF5a7+XGqFoF4vNYcEIkkTXQPx62BQ2AnjWIOYhwxDK9E98QhOFAf9F9rEr2IajfQjpnpbhrKmzC/4lk2QaY9xKBhIX/Bk5QuP6UJdBHzFC8xH2HfZ0gkYaxeohRjvb0Y+9VWsHSGDYFDfUcS8QUTEDNJGDEIte/XICIUQaz5JqBtAWCywDiqJqJpdYzRjVhr34s9FsdlxiGPYV/K8SSLhsi4h8NQzeB6OGLEr9X3c19PZmEMQjIeq254QNPewBhTqer3nTbqHSw5tj0sbUzxoQAxD6J1DaQdmAMNNmFWAj8G0ZXmhu79ENZHjLnchmgbkcZxdWVIZQMQhRQ5wfrLwRrCTaLTgS1J1CZVyPzQxSKKJDYQzVxTFvA6oPUY9zQUUNacEdjPO3H/cYFiM0QaGrFUgTqEFpy0es2fY1SyiLLDOq682T9mZE2BpzJwqPvbcPP4gyCuaQdisZ2RRDtmDAYcJLhIoyOLdFAq3c6DBnvhBnWgeU4aOsnocJlr6Cy3KV3sX1MleX9Ve/p5Awotr1AqDLZjQB1Gg3CiEG5Nx954TFvWEKDUFFfwjA4J0l53blQ6LBekGUwOXJjRYRVH2ThxBNHF8/EAWvTmlDpFOODTCUd15AycvnM9cYggp2EWDg/TKaP5HkHwYAPej7Lj/Q1bdBTkBOJAGfPHi4CwQ7WZCn9eeYyAil6B0+dIWUcgKqf94KBSkX5tyz5NF9oeofglirjgPUyXQW3GhoXOykkoHh5xNG1eYPdp7M6n6RSF8yyJkTqJkayJ9hbBdR39merMNAaZLwKXvgEbqR/Vtvavh4BnX0SavQUXKWU0Qy0SCwrjAAMry5m6jgvsKwzazPGKhwMcrwoIc5DCjPZwRccUg37cg+5zs0Qnch4CRhQ/Yhtgf6aj8LaHdvavf+ssFcehmh/HHC/tjbh1IB6vJVItiaTC0poENQP0kdgUxpy93fbrbtE6dRd1DOnAGVWN+Cv3Jqa1DTYH9ZukiZAixVVSiAusFhdvWIRwQUqtC89ph5dH4dxq5+BYQPOhojBpOKRiG7RoUoTgzOQCms87CR1nuGh1sUlrgLrjOQVJj6Z1kA+DWs38wSksoDeFQGN3cpouQ7UQ+aPT0EHaYxRmgWO4A1VGz1lJp7CxzwsQ2GkNY1ymgxh0YxnQCozCcUoHIilKvCbd3mW5Q0yIYjqhnqM3PId+QDVpOItbEBbimH7bwjn966cUVEQgjfGXm9bFNgLoBxwQcwzmZpPrEjoTPWcaHQE03nfcgA05xnQeaPG3Zcw1MaSlip0f5yn+9hA4nufk1EHIdaKngM0DrUF6gGCsA7Y3poubbx7MVcF7Z5lOpNUp8FBRd0wU0KGAYAdCBnQEJOLdd7a9NhM+/o3WmW4ht/sf6XPYysjSLv8DERqpwtwcc3NuOOd4toShKOgss69OSnEHbOoTy1rfLYgZtBP+NFJDAIKCDXg/8Qr1IYimIe4Py4yKq3wPD5e8teAxFMZcUscnU8AI38dYEcNhR4aKwq4m5nDbf1FQQhghHqaQ2sw9AZ/xE4niPmGAaQlQsn+orp7VPLwye1b0/kUDqrtebOmeIYY1M/fXHLu5ricohjaQRIiKerc8CNyh07BZgQ+AB04IsRLjoR8p8wW9pmJwUHtnm+R9p8lFGoy05IyOqSOjRRERiWN8XCjrXNeeg/gUDpPrFPuj+AeVl2E8TGUoE1LAnVn9VmcIe/yCfiteJDW8+//GiH+YAJqhJo37Bs054ByJjtOgOuPa2ND9CnC8G9Tm3jaLy4PSVqyhAoSe6BJiG/AOXzpBooM+ZinM1qxZs2bNmjVr1qxZs2bNmjVr1qxZC7Q1jUAstxLSaMUNqDERdTmcPtTggiVq7L5lpSKTPsrTAk8shGIChtgFqMqkTbfg7idCiCe7PCEeAoqng+eJBiSK784ZRaINb9AT3QIQRjyJ3b/SRSxRrIGIP57mloCbHQVCj2I0LC9SwXm6HhToe39Jj+Q2ANlGajPLeDypxyvLOBnyKONEVVKS/hiotk8eUrQV01vDyfgC8meiN3EyBkQmT6+IqtxiUMcpzqPPx8OR3vso4gI4fVrrqYz7m0cUsUmUq0E5QjtkOa4QBYD88f1EsBLFxnpl/qq9E8cdoEmUgasuAdE3CxTfRFRRs6QFUMxkzuAcajvsGChFfSepGux/pHVNtwv9a6IUvXyMIvD8TEuPfPaBLjUZK2qqeNQE25lR3kopqW2W/Yz973Bdg/4vQMSJ4QRqKCdSmOuobw91mzICQmsbZB/ekkaQaUQXZ8gH1vsztj3cv+bYRYQKx+BWr+21AgSorK22Qrom0YwjTaCjmim9bjRB6dzZrSeeGUYndFzm/dqS9sN4DuM10XpAcnV4KkyEE4Q1QqRTA/EWAZ0lKCi261F7A4A8njiJiIkuNNBmODknrcQIKr8f4SfOCkDX8QQ64DTeEBQJr0aCdAZAq+HJPV8H2iPTG8a72yugLhGhh2eaQ0DiEYVJmg/+wBPzFvNKMYIektFJ41iaK0TQq1xSvgPECgzKURNUcJyMpw9oW65txB+IbkG5GmnA+O5GiUbsUeMpykK0GCjzI1g3jQAmsHlYx0UD6YdGk0fEdF4TRcd5hywGWieA8qzfDPgd15ch/z7WDBBuoVEQjGmvhyAMgzmLtOihdMX3ft199K3FLOBnXKMSwf/d+e3960uHFAVKURTWzVgca0SsX7leGxnT9K5g3uZ8y9A8nOPqPfG8ZK7bZtoR//K0ttpG72lLNNaW8ka0EdDniEaiMYINxxYDkY55yhhT8U4iskgnrk6ufiYA8CsNIJpINxRQDNnFgui7zBNRmGxO7RSQWsgrtogmK0CXjtLprbXYr35S07BWD4cViUfE8y9qE/3rSXBNvzmvoQn+cMP/07QA4kTxQhrHE36riBAKQWjExd5PiTT8KfJBNDjHNt4/UCP0U+0XVMGAfWdax5xteZ0DGFKMaOX5mt6PYK/koQ5FRGor3TW7S6YFWQYIseJyfiOVFyBF6CtKoqjXpNKS9hr2j/5grHkMBgTRrFx/oHOleoyiAYQ34t8Pl4FCNQRVsDdAPoy2zKUVRFyyA6CdlxCa7CzdRxIxvjKjdV+dXL3uo/hKlOsyjDOFX+jvqmNgXaDfsm4YKSqh2zYDOcjpnGMN9MMkrWB+gYvBQFh7051B1SZKG+kiGtGgRxtr/F46/EmxvramHYjRsCPRcEf2rehMtC2j1N9jiEm3Iz0nfrY5q6VF5eXxpDZKz2FFevIxqC9xw7yvrI12Z16/+cCiDtrcnDNmIynUJaiaTqY1LaT1XjKqMOy9gGcfRmy7Zlar2Ivj973DWzWNI1CXQlrGQbY/iEGYaquk49JBEQ2gP5KKWUxpb7lrflP/OhXT5+kgoWOWDkIvT0HO3RRUpglJ5/Ok6WYxIP50XhWANwzohEraO/O6HzEkqbTLTQfz5G0ouHglJD4d1bozKaU6GtD5ScfQwXKhf701pw5HOmibHf/ub6hlo6yTAQ6pQ61uvs/DiJk2VBsRSw2TTBIjdQGTfsxQfSv63m+hTMtYvNTh7KLqG52SowmNuckFy0qoWzZUgiQdbSP5LAHGMYehCrKi3w8HeExmajqjsp3Q6HykCvsswih4xjpiuVMlnc5BLxyAiMjWjC6e2PeC3k/KGr/lxb9qWhXm4zbHDa2iJJISU4MivafwV8G9clnbby6HQzQXm+q0vq+FeHZcwIYR8yaChVy7CHVoOqOyWscd0AnDoERw8eJme+MCFqykD5I+E1nCwVJe74fhDDLi9TBWnrGQIu9LL7lQNpx/DTqpkB7Qu/ufBCU5xLiPiM8n3CzQJ5smtxsOWr6HsSJJ7WG+6fxE/dW3cgGNa8Yd9NJGxyPow50yHNe4T3OxgI6kddx3SloJtY2IpRhEnYJFqFjJDRao2/F5hGUZ776/A4drfAbroHGky4hRiHkaK3FSlY0NMVflAUba3vGYE8RdegzrHIeTMfib/hTCX8X84kAaKsxxnV8Y35AHUS+a+Ik+j/dNxov9azolDKo3/BksA76foUoORXTtVkGQvCmsvb2wN95hXStk57TjtZlLohJJRg3nGZdTpOlyXEzPgIKPmGmkFpK6iUhOhuONZ7x0XDA93n0ecNARgynQmMeG7kfM981o40gjnRJ0PjLeGtNlxIok1RPpaQwxTIeWTc1zdKMAtsd1L8p2zz7ztKweDvOw4y0bvy5+xtBBAyG9jhsxTf1DIw2H/UMYxIy4g6vXyRMDWsH7Eas8KKYrgQl0LHK/zHj4mThi2aIMijWsqZKa1yXc5xkOQ2N4oU/CPJxlWBWE6zDmfhyA0UnE9kkqf5C6OM9yDDoz0kOlZLYrQfxmB6EjFjK9dX2S4dAe++CVysfsQ4aDi8ullP4hl9Jyz6e1E3Xw3TEcaN27Tdu5M6vX/fAoyD+bGvtt8WyOOf7xBSN1HOzCsdiAU5/GgwK+h3UW5DTkOOJRoZ0ALx7zwW9yfOW42B+PH0dkjlMKC/nbv/1b2bp1qySTSdm9e7f84Ac/OJXJsWbNmjVr1n5ps3OaNWvWrFlbT2bnNWvWrFmzRjtlCMTPf/7zcv3118vHP/5x2b17t9x8881yxRVXyIMPPihjY2OP/QLpCg3EWnEZBBKHJxiGwAVOds1g0urSpZJvMkKqbtdtb1Jz/U9WMjFSSvXdRNbx+b0VRU9ugNoyEWdliIIQGfngspbTrrzi8qkEzWtPdW73BqWDEE1HajDzSnok800kFSHeVAZOGGg50MjjWjekXFNsIg/E4r1LyjXI47fe6fL8ClB8OCGilVCOLN80UIpEI1L5eLam6CwiHPlbBusm0o8oRd730sC0sKxZLrxPig3Li+namNW21HT82wPVdWeg+JxHcPHZFb1famj5EfG0KdU98Xu4pW05FoDO4EllC9FnMyF/KnYrAMFB9AcVkYlyGI1oX+G3GPCeFHsPXUL15iM4RiLFjWiVuaa+bx5o0n0RpTwT0buEoPXz+C2Rn6SfkLJFcRz2RdLgf77YpaI8eUQRyuzbNPbheIBiXVB4gGZQqAKcYEWDIqKvQ3si5jQRkWozLpFoXIbSCo8Yx8kqUdWecU5JDAItiDEhjNPcJKSMM3n/8XJlGfMkEHJt0FcplhIBjbSNaxkAAjmy+nmiysRFfwTko7ld78chctJM6DgUwjf5nWoK7RTqfU4CAhooGwcoxdAy6MQjQFj6BP0mGjMOGjBxSlGkvTODPokyCgE5GCL1No+0lzXfkTSYABCGCYOm3qHYDcopkgE1tdrt2yGjjoDMRDQJoi3CEDNpL2ueogWdXxr4JilbQXl1QHl2qLLI92Bq6KSBRsx1v2uEWMiDQj2j7bpU0+tfrCiFj+gTohE5XkYCxrYgxNvjtSDxFL/vB30nCO1+PEjHoN/yu0QsBlGtPQtKo4lABIILaXQCyxRhPMQfKc920MC3eE0mB8dSiu158523T2ifIQDEJ2Jec2NdhI2BisG0Q+pvfj+EGS4AkiugeTWB9IF4umA5I06AoAqRj55uiSHWQmow0DpEES6chzaLId1QT0b+SJvOaFQlKW33f57pJdoosQRKJcbmRk+99xBC4gQpEJM+zHUxQzIQRc0+XocifNnRjAet/dnPIyH/sSVmiCx20xbHPYZk4FjB+9zf37rv3P71b2zZo+/GOrqBPdHsssJAS2l9D8f0OtbAnAeLC1p+hsBXbzxxZ3WMYVuO1vQlRLMRKRYUnoXoNAAvDfQbv0XUbzjt/y0yRkJITxtCZJWF7p6kMa8JaEHAhIInkaq/QJKB/mWkKvoYcJ2Gb4X7bjOUGlhnWVCeD2JdUu3mqYkFRGMYzILZMO4jLVh2h5sB82cAuo+/NVCYAa/hM1SQ9qMlB2iLGr/r+G//jL1af8x5HJE5ThkC8UMf+pC8/vWvl9e85jVy3nnnycc//nFJp9PyD//wD6cqSdasWbNmzdovZXZOs2bNmjVr68nsvGbNmjVr1h5ppwSB2Gw25e6775Z3vOMd/XvhcFguv/xyueOOO477PW0nIiEnImUgenhSScTb4Vqhf/3wksY7YWypYYhHMNbfSi9iJtF0BaC0iAKjZ5woPiJIphEnjQiRZbzHFPBQ4+noZoi3lAPQdRUg3mI9YRgih/g+eu/bxskrrhFAth7yf8+Bih5/8BSb6MxllC/LlScORE3xPUsNvX/4WLcuB/J6tDKSUdd7HXEbWNbME40IPaKtguICMi0MnJuKBSDw0G4eLnVjeDD4bAGxHVheSzUEHWYbQ/6OLWsABi82mkgwWpa2AARnDAJCbcQkI/JnDPHOPBGRby7raV8WR6gUBzk7o9FheSrKE74RBLVhsPUsEMUUOvlJRQMrn5vRuIO3F8/pX29M4ngOlkY6vbHj5xWNfckA7Idqmg/2scMr2p9ziKHyi2VFIDYGor7PDyW0vnkqyrZvBHVHPyCKhG3bE8HhOxjvcg6Bn4k2ZZ9w6lru/OZ0RU9o2c/McUTzkY0+juOsNWxP1Jwm0kUHRmIRo345LnEs8lDl7LOMCUO0EOMbdpzHRiAZKLqmfj+R0b5fhzCLy/g9dQSlzgDdRzRZr810SjqeGnEG8/4IrChQcQ2gBeP4TrMGlADiCHKsdYk0RJm6ZeRphMG59DKSWJ22TiPi+ywRei7jBA0R/sJyWfVqERFxWoySjtg8jCOYA8KxgeUdYxkh7Uyb19xYRh3EcjLQkEwX5gg3j+8HxNNkOzHiQgF1yKNtF+0jMqzjSaeq9w2Rnd7720TlJrQtV2M6T6fjev/uuY396zs7m32fqULAiHM85+QqYuhxvud9L06ZiBkvazSr8/bBXhD4JBCmUdRXaVrH4rFNOr8tlXWtMD6oyHd+s1zVNj6UhXgf6iaFfDexzsgndc7iuE8kD9fS3vpjsa7zEdkaZK9wHhvBOxinrNLQ+jt7SGO7HaoUNI1gqRChErSmoxgChc32Limrwlv7ejFmnao/cns92RM1ryUWRCIJU2SAYhAUJVjahRjjQNEQhcXfEmFF1GENIi0GgosiAkQM9poD448RsUXBASK8ArSJTAEYxk/E1Es0Ym6fXtf9tT/MmGX4LhGR1Z6ABVlb367s6F+nEqsZDCIiGxHnnbHg6wHx58mQ2res8Qi552pg3dA4qJWW3V7UtGNMY58cTHULkPHAue4mS4d7fTLNNg7qd74/vVX8rFLVQm3OaoNYQFBBBwwMxkimMb5yCOuPSA/RR6TYcYSmNdpsEsjauha1gUhl/D1o4Bix9QAylYSGxjdQrhR04/1oBX6AQnhVIhOzQIQO+guYdeIoIzKV2M8xB7g6JRtxKFtxIGoD2HbGvhdl0Cx07ydnEDd0CmJZY/4CdVEIA7Ium/mANSX6vEHQChiv+AwRgxxHWB9eXRqxEzEuEvVooBEDkJGx3jNBglZ+dkociPPz89LpdGR83FRCGh8flwceeGDV841GQxoNHdBKpe6iaLmZkGgsIQcXdTSfKmhjmquAfnlIe9fmXerE4AJoz7zOOPUD+vzIri6VlQ4dBlqewaZ6NAP8O2wWFNH5MgYmLL7PmdB0USzlvjktp6m85m/PQb2/cUpHg5klTftABjTuXl73HFCqzsREUZ/FYpcD9X44XLnApWODi8fDv4BgzHYoBoPGbSzSHtKJbtNWXRA+jElpflnLL5fViWt0pNsWKlS9wkKZcPMDM/o+boY2jejiOwFq3+GlQv96IOW/SmgwWC7aEp2JdMJRqctTjFqG6AHfseBqO+EGnnVKax7V5ytYJJCuSGO79WgPImZdcpN0ZLHQv25hczqR6m4GtkLRl2rBdEztrapTjc7+XxT1/tPH9vevfzivG7nLJx7sX/+8uqF/TQGRhysX9q9Jk2cw5SM4TKAQiTfh7F3WcYAUt62D2pYfmNa+t31Mqe4cT9g/fjyj6aVSmKn8rs8fKauTMWjDVgalPI46bvc2OisYowbxDqbrJw+pgBEFFXadp/RnOgTp1GLYAFI5mnCiegvOdn19OxIf75wmEjyvdSQk4oZkGW3v4F5978RW7WfTB7tj8+QWvTc7o22nMKLjdQhiHtUCnBlV0IAxLkawsKdzJ0zVZgQAd+BAC2Mh1a7qdyNIQ8dT6cUiauwOhBq4Qtu0u4xVUkbLLAqKsYAyG17S5yk4YlC9p0GHymobdwNo2YYDz49fhHG+VYcwzTJ4JxRFoROSysugWRsCKXRQwvEWLmpeY0WqX+vj7QHkA7LQbSjteiItThYLYtQ7aUlu29/hmTqIuXeb3idtmflg/HiOP4INWxjOVYffheM0XEPZL3T7jRG8fRIOrbyu42YXdO6gMibn2GU42xoN0F7ZP7AOYHuvDOl3q0u6pgvjMC6W1OuZkqbH6c2xbaRLfgjO2i5t74sliMih7R1tFTSNEEtiv5kZR1iTPBSZ2/4b5T1HdX1XyPsfdB98UMcrbw3Itc+PjurOkA6NTFzr5mfTui5soe/RUV/GGBnHWuXwz3WNO7hT522uxUrLWmbM9zKoiIZ5/bzXrLh2X6/2RO3V3Ej3P2AkDAcGFZnpFKFjzBhyqciM5e3AIYQDGkKfTPnPWYaQtjcdgWbNMZTXRvQCnt88rN8pb8V3AvT3uPmvbMAf8M401FwNdV1s9OnQzP64m4HDO7Wfhji/UTgKzpr9aM/njehelKCRhSr2rnjPzJzuObdMYn3S0PtPftre/vXB5UL/evF+rfzJJ033rwu99fsdv1DnJwXJQhjHB4d0HU8nZLGCg/jDmnZDKA2HJlFQdp0E1gElf8AJD64Si5infNoNRTjG7tLr2UvodPJ3QFHbiqJBhvAOxTnQruhMrMF5ZDi4SPfHb6nyzHnec16Rct0YxpxdRwNG+TLtCaYL/Z/5oAO6LACKYR/yw0O6RyzAN8CDOQfrLk9x2lBSDzhgIJ2b4xUPPPgMy84Yo9BX6czb8Mn7+teH/ug8fQ+Fb1hPSHOfXo1xMYJ1N8dFOiGnvq0JOPQ87RPeoUXncWzV1oQK80033STvfe97V91vV7u10sFJYBsnJ8YJdQ3PrBB1hMGUioR1xNnrPd92/Eu2gw1YGwTyFhxm7SrTBacTNx0r2soicCx08Ns2ED2BeUJ5dEKr8+pgIcnftduQZMcgbHwf72szf+ggTFeH73f5rY7v80wPJzcHi/IOjvzcXs/v1HUEaEf4HWyc0B64UeY3I1GWO/Lh+LvlO5hcgybmDiaFNtLe6aXNqeJ3kLFk23SaSFfIvx0a5c46i/g7EDuY5To1lEfMv546iGXhwIHY7LXbhkP0LeKz1LXswmHmDxtZ1EGj0nrM+0Re8v0tnKi0oPzLtDXxfKO5Oqag0QYxQbawuWEf4/MtojeBwuJ7wnAgthAhLUQUGftNJ2C8wsTV9nEgtuH4ayEIWhv9n22GKCUjT1H/scjFrEs/QLsFR04vT95Y7bqPQ+JrnVvQvOaVMRWJA8f63n2/e3zXo96v4sSVKDM4SJw6xmsHiEKMG9LBionPo/2E4Nxw3NUORKLp2Mecmv98xHla+Hydi3k45Ih4q3Nu4LfwPGJEOUTjtbmqc1f/Dn93kXajjBzCZfC8exwORBri8XTq/g5EBw48x2UacO31f8wXhgOx89gOxE6D8zrGthZQmBh/xGUZ4D53NGhLLsefGp9Bffd2W3Qgci5nfEVah3Md5thOA2WH/Bn9g5sV5MPsfyizDsZU9CeXqIlebKwO1jOhBsduvJt9kshTow9H/a+5NuXcH3DwyHUUnzee8VkDusaakusjzF2Ys431OByIrL8OdmYdxEw11u/MH8dUpiHGegrYFj3SgdgrfzunqQXOaY1ufTgcK5r8u16z6/O+oR5KlVkelLTQh7H+ckL+DkQj3lfvEToQjHCbvG74X3eanF/8v9Nh86IPOsApaZQTpjuWjeNz35iPAP3sIN64uU/BenGFa2qMo1yXOv5rC2P9jHGX7wyaw411Z29tbK5R4UCM+78vFOI4gz0U2oPLQ1A2LDoQXbYZ8TWnw/r2dyB67Ybva7cwztf9v2/0A7aBgH4QsC0M7GdByFm2z45P/+im2V2VXrY3Hu4Z6xOjrwR8h75H7sHbmDNd1j3ew3kbaw6nRghiuPdNph3rE6pDM+1B+UDSDY8a+zPHN1y3mY8G8hpQB2yq/Trg5ovth3VNJfc2vuPDmnF66TieeS3knoLZr9lsSjqdln/5l3+RF7/4xf37r371q6VYLMqXv/xl4/lHnmodOXJEzjvvPLFmzZo1a2vHDh06JBs3bnzsB9eYPd45TcTOa9asWbO21m29zmkidq9mzZo1a2eiHc+8dkoQiPF4XC655BL5xje+0Z+UHMeRb3zjG3Ldddetej6RSEgiodjbbDYrhw4dEtd1ZfPmzXLo0CHJ5XKrfrfWrVQqyaZNm9Zt/kTWfx7Xe/5E1n8e13v+RE58Hl3XlXK5LFNTU4/98Bq0xzunifjPa/fdd5+cd955tq2tYVvv+RNZ/3lc7/kTWf95tHPar252r3Z8tt77ksj6z+N6z5+IzeN6sNNpXjtlFObrr79eXv3qV8tTn/pUufTSS+Xmm2+WlZUVec1rXvOYvw2Hw7Jx48Z+fI1cLrcuG4pn6z1/Ius/j+s9fyLrP4/rPX8iJzaP+Xz+sR9aw/arzGki3Xltw4ZuICTb1ta+rff8iaz/PK73/Ims/zzaOe1XM7tXO35b7/kTWf95XO/5E7F5XA92Osxrp8yB+PKXv1zm5ubk3e9+t0xPT8vFF18st95666pgvdasWbNmzdrpbnZOs2bNmjVr68nsvGbNmjVr1h5pp1RE5brrrgukd1mzZs2aNWtryeycZs2aNWvW1pPZec2aNWvWrNHCj/3I6WuJRELe8573GDE31pOt9/yJrP88rvf8iaz/PK73/ImcGXlcC3Ym1MN6z+N6z5/I+s/jes+fyPrP43rP31qy9V4X6z1/Ius/j+s9fyI2j+vBTqf8nRIVZmvWrFmzZs2aNWvWrFmzZs2aNWvWrK0NW9MIRGvWrFmzZs2aNWvWrFmzZs2aNWvWrJ1Ysw5Ea9asWbNmzZo1a9asWbNmzZo1a9asBZp1IFqzZs2aNWvWrFmzZs2aNWvWrFmzZi3Q1qwD8W//9m9l69atkkwmZffu3fKDH/zgVCfJ12666SZ52tOeJgMDAzI2NiYvfvGL5cEHHzSeec5zniOhUMj47w1veIPxzMGDB+W3f/u3JZ1Oy9jYmPzpn/6ptNtt45nbb79dnvKUp0gikZCzzjpLPvnJT57o7MmNN964Ku3nnHNO/+/1el3e/OY3y/DwsGSzWXnJS14iMzMzayJvnm3dunVVHkOhkLz5zW8WkbVXf9/+9rflBS94gUxNTUkoFJJbbrnF+LvruvLud79bJicnJZVKyeWXXy579uwxnllcXJSrr75acrmcFAoFed3rXieVSsV45qc//ak885nPlGQyKZs2bZL3v//9q9Lyz//8z3LOOedIMpmUCy+8UL7yla+c8Dy2Wi254YYb5MILL5RMJiNTU1Pyqle9So4ePWq8w6/e3/e+950WeXysOrzmmmtWpf3KK680njnd6/BMtLUwr633OU1k/c9r621OE7Hzmp3Xuna61+GZZmthThOx85qInddOx/yt93ltvc9pj5VHkTU8r7lr0P7pn/7Jjcfj7j/8wz+4P//5z93Xv/71bqFQcGdmZk510lbZFVdc4X7iE59w7733Xveee+5xn//857ubN292K5VK/5lnP/vZ7utf/3r32LFj/f+Wl5f7f2+32+4FF1zgXn755e6Pf/xj9ytf+Yo7MjLivuMd7+g/8/DDD7vpdNq9/vrr3fvuu8/9yEc+4kYiEffWW289ofl7z3ve455//vlG2ufm5vp/f8Mb3uBu2rTJ/cY3vuHedddd7tOf/nT3137t19ZE3jybnZ018ve1r33NFRH3tttuc1137dXfV77yFffP/uzP3C9+8YuuiLhf+tKXjL+/733vc/P5vHvLLbe4P/nJT9wXvvCF7rZt29xardZ/5sorr3Qvuugi9/vf/777//7f/3PPOuss95WvfGX/78vLy+74+Lh79dVXu/fee6/7j//4j24qlXL/7u/+rv/Md7/7XTcSibjvf//73fvuu8995zvf6cZiMfdnP/vZCc1jsVh0L7/8cvfzn/+8+8ADD7h33HGHe+mll7qXXHKJ8Y4tW7a4f/7nf27UK/vtqczjY9Xhq1/9avfKK6800r64uGg8c7rX4Zlma2VeW+9zmuuu/3ltvc1prmvnNTuvde10r8MzydbKnOa6dl5zXTuvnY75W+/z2nqf0x4rj667due1NelAvPTSS903v/nN/X93Oh13amrKvemmm05hqo7PZmdnXRFxv/Wtb/XvPfvZz3bf+ta3Bv7mK1/5ihsOh93p6en+vY997GNuLpdzG42G67qu+/a3v909//zzjd+9/OUvd6+44oonNgOPsPe85z3uRRdd5Pu3YrHoxmIx95//+Z/79+6//35XRNw77rjDdd3TO29B9ta3vtXdsWOH6ziO67pru/4eOZg5juNOTEy4H/jAB/r3isWim0gk3H/8x390Xdd177vvPldE3B/+8If9Z7761a+6oVDIPXLkiOu6rvvRj37UHRwc7OfPdV33hhtucHft2tX/98te9jL3t3/7t4307N692/2jP/qjE5pHP/vBD37gioh74MCB/r0tW7a4H/7whwN/c7rkMWhCetGLXhT4m7VWh2eCrdV5bb3Naa575s1r62lOc107r3lm57XTuw7Xu63VOc117bzmunZec93TK3/rfV5b73Oa666veW3NUZibzabcfffdcvnll/fvhcNhufzyy+WOO+44hSk7PlteXhYRkaGhIeP+Zz/7WRkZGZELLrhA3vGOd0i1Wu3/7Y477pALL7xQxsfH+/euuOIKKZVK8vOf/7z/DMvEe+ZklMmePXtkampKtm/fLldffbUcPHhQRETuvvtuabVaRrrOOecc2bx5cz9dp3veHmnNZlM+85nPyGtf+1oJhUL9+2u5/mj79u2T6elpIy35fF52795t1FmhUJCnPvWp/Wcuv/xyCYfDcuedd/afedazniXxeLz/zBVXXCEPPvigLC0t9Z85HfIs0u2XoVBICoWCcf9973ufDA8Py5Of/GT5wAc+YFAZTvc83n777TI2Nia7du2SN77xjbKwsGCkfb3V4Vq2tTyvrcc5TeTMmdfW+5wmYuc1O6+t3Tpcq7aW5zQRO6+J2HnNS/vpmD+RM3NeW49zmsjanNeiv9SvTqHNz89Lp9MxOriIyPj4uDzwwAOnKFXHZ47jyNve9jb59V//dbngggv693/v935PtmzZIlNTU/LTn/5UbrjhBnnwwQfli1/8ooiITE9P++bX+9ujPVMqlaRWq0kqlTohedq9e7d88pOflF27dsmxY8fkve99rzzzmc+Ue++9V6anpyUej6/q6OPj44+Z7tMhb352yy23SLFYlGuuuaZ/by3X3yPNS49fWpjWsbEx4+/RaFSGhoaMZ7Zt27bqHd7fBgcHA/PsveNkWb1elxtuuEFe+cpXSi6X699/y1veIk95ylNkaGhIvve978k73vEOOXbsmHzoQx/q5+N0zeOVV14pv/u7vyvbtm2Thx56SP7rf/2vctVVV8kdd9whkUhk3dXhWre1Oq+txzlN5Mya19b7nMY02XnNzmunc/7Wk63VOU3EzmuPTJud106//DFNZ8q8th7nNJG1O6+tOQfiWrY3v/nNcu+998p3vvMd4/61117bv77wwgtlcnJSnvvc58pDDz0kO3bsONnJfFx21VVX9a+f9KQnye7du2XLli3yhS984aQOpCfL/v7v/16uuuoqmZqa6t9by/V3plur1ZKXvexl4rqufOxjHzP+dv311/evn/SkJ0k8Hpc/+qM/kptuukkSicTJTurjsle84hX96wsvvFCe9KQnyY4dO+T222+X5z73uacwZdbWk63HOU3kzJrX7Jy2/szOa9as/fJm57W1b3ZeW1+2Xuc0kbU7r605CvPIyIhEIpFVylAzMzMyMTFxilL12HbdddfJv/7rv8ptt90mGzdufNRnd+/eLSIie/fuFRGRiYkJ3/x6f3u0Z3K53EmdGAqFgpx99tmyd+9emZiYkGazKcVicVW6Hivd3t8e7ZmTnbcDBw7I17/+dfnDP/zDR31uLdefl55H618TExMyOztr/L3dbsvi4uITUq8nqx97E9KBAwfka1/7mnGi5We7d++Wdrst+/fvF5G1kUfPtm/fLiMjI0abXA91uF5sLc5rZ8qcJrJ+57UzYU5jmuy8ttrsvHb65m8t21qc00TsvGbntdM/f56dKfPamTSniaydeW3NORDj8bhccskl8o1vfKN/z3Ec+cY3viGXXXbZKUyZv7muK9ddd5186Utfkm9+85urIKZ+ds8994iIyOTkpIiIXHbZZfKzn/3MaEBeJzrvvPP6z7BMvGdOdplUKhV56KGHZHJyUi655BKJxWJGuh588EE5ePBgP11rKW+f+MQnZGxsTH77t3/7UZ9by/W3bds2mZiYMNJSKpXkzjvvNOqsWCzK3Xff3X/mm9/8pjiO05+QL7vsMvn2t78trVar/8zXvvY12bVrlwwODvafOVV59iakPXv2yNe//nUZHh5+zN/cc889Eg6H+1Dy0z2PtMOHD8vCwoLRJtd6Ha4nW0vz2pk2p4ms33ntTJjTROy89mhm57XTN39r2dbSnCZi5zU7r62d/Hl2JsxrZ9qcJrKG5rVfSnrlFNs//dM/uYlEwv3kJz/p3nfffe61117rFgoFQznpdLE3vvGNbj6fd2+//XZDortarbqu67p79+51//zP/9y966673H379rlf/vKX3e3bt7vPetaz+u/wpOWf97znuffcc4976623uqOjo77S8n/6p3/q3n///e7f/u3fnlBpec/++I//2L399tvdffv2ud/97nfdyy+/3B0ZGXFnZ2dd13XdN7zhDe7mzZvdb37zm+5dd93lXnbZZe5ll122JvJG63Q67ubNm90bbrjBuP9Y9fee97zHFZFfKo+hUMgVEXdubu4JzUu5XHZ//OMfuz/+8Y9dEXE/9KEPuT/+8Y/7qlbve9/73EKh4H75y192f/rTn7ovetGL3G3btrm1Wq3/jiuvvNJ98pOf7N55553ud77zHXfnzp2GpHyxWHTHx8fdP/iDP3Dvvfde95/+6Z/cdDq9SlI+Go26H/zgB93777/ffc973vMrScofbx6bzab7whe+0N24caN7zz33GP3SU7D63ve+5374wx9277nnHvehhx5yP/OZz7ijo6Puq171qtMij4+Wv3K57P7Jn/yJe8cdd7j79u1zv/71r7tPecpT3J07d7r1er3/jtO9Ds80Wyvz2nqf01z3zJjXftk57XTNn53X7Lzmuqd/HZ5JtlbmNNe185rr2nntdMzfep/X1vuc9lh5XMvz2pp0ILqu637kIx9xN2/e7MbjcffSSy91v//975/qJPmaiPj+94lPfMJ1Xdc9ePCg+6xnPcsdGhpyE4mEe9ZZZ7l/+qd/6i4vLxvv2b9/v3vVVVe5qVTKHRkZcf/4j//YbbVaxjO33Xabe/HFF7vxeNzdvn17/xsn0l7+8pe7k5OTbjwedzds2OC+/OUvd/fu3dv/e61Wc9/0pje5g4ODbjqddn/nd37HPXbs2JrIG+3f//3fXRFxH3zwQeP+Y9Wf50D8ZfL4ohe96LgdiH/xF3+xSho+yG677TbfNvnqV7/adV3XdRzHfde73uWOj4+7iUTCfe5zn7sq3wsLC+4rX/lKN5vNurlczn3Na17jlstl45mf/OQn7jOe8Qw3kUi4GzZscN/3vvetSssXvvAF9+yzz3bj8bh7/vnnu//2b/92XHn4VfK4b9++wH552223ua7runfffbe7e/duN5/Pu8lk0j333HPdv/zLvzQG9FOZx0fLX7VadZ/3vOe5o6OjbiwWc7ds2eK+/vWvX7VoP93r8Ey0tTCvrfc5zXXPjHntl53TPDvd8mfnNTuvue7pX4dnmq2FOc117bzmunZec10zf9ls1n3Oc55j57Wenewxfz3MaY+Vx7U8r4Vc13UfE6ZozZq1X8ra7ba0221JJpOP+7c33nijvPe975W5uTkZGRl51Gez2ay89KUvlU9+8pO/ZEqtWbNmzZo1a9asWbNm7cy2//Sf/pPce++9/Vh61qxZU1tzMRCtWVsrtrKyItFo9JdyHlqzZs2aNWvWrFmzZs2aNWvWrJ0uZh2I1qw9AXbjjTdKKBSS++67T37v935PBgcH5RnPeEb/Pq1Wq8lb3vIWGRkZkYGBAXnhC18oR44ckVAoJDfeeOOqdxeLRbnmmmukUChIPp+X17zmNVKtVvt/D4VCsrKyIp/61KckFApJKBSSa6655gTn2Jo1a9asnel2zTXXyNatW1fdf+TcFwqF5LrrrpPPfvazsmvXLkkmk3LJJZfIt7/97ZOYWmvWrFmzZk2kXC7L2972Ntm6daskEgkZGxuT3/qt35If/ehH8pznPEf+7d/+TQ4cONDfV3Gem52dlde97nUyPj4uyWRSLrroIvnUpz5lvH///v0SCoXkgx/8oHz4wx+WLVu2SCqVkmc/+9ly7733nuTcWrP2xFr0VCfAmrX1ZP/5P/9n2blzp/zlX/6luK67SnpdpLvh+sIXviB/8Ad/IE9/+tPlW9/61qOqhb3sZS+Tbdu2yU033SQ/+tGP5H//7/8tY2Nj8ld/9VciIvJ//s//kT/8wz+USy+9VK699loREdmxY8eJyaA1a9asWbP2S9i3vvUt+fznPy9vectbJJFIyEc/+lG58sor5Qc/+IFccMEFpzp51qxZs2btDLE3vOEN8i//8i9y3XXXyXnnnScLCwvyne98R+6//375sz/7M1leXpbDhw/Lhz/8YRHphooS6YJAnvOc58jevXvluuuuk23btsk///M/yzXXXCPFYlHe+ta3Gt/59Kc/LeVyWd785jdLvV6X//k//6f85m/+pvzsZz+T8fHxk55va9aeCLMORGvWnkC76KKL5HOf+1z/349EFP7oRz+SL3zhC/K2t72tPym96U1vkte85jXyk5/8xPedT37yk+Xv//7v+/9eWFiQv//7v+87EH//939f3vCGN8j27dvl93//95/gHFmzZs2aNWu/ut17771y1113ySWXXCIiIq94xStk165d8u53v1u++MUvnuLUWbNmzZq1M8X+7d/+TV7/+tfL//gf/6N/7+1vf3v/esOGDbK0tLRqX/W//tf/kvvvv18+85nPyNVXXy0iXWfks5/9bHnnO98pr33ta2VgYKD//N69e2XPnj2yYcMGERG58sorZffu3fJXf/VX8qEPfehEZtGatRNmlsJszdoTaG94wxse9e+33nqriHSdhrT/8l/+y3G/85nPfKYsLCxIqVT6JVNpzZo1a9asnVy77LLL+s5DEZHNmzfLi170Ivn3f/936XQ6pzBl1qxZs2btTLJCoSB33nmnHD169HH97itf+YpMTEzIK1/5yv69WCwmb3nLW6RSqci3vvUt4/kXv/jFfeehiMill14qu3fvlq985Su/WgasWTuFZh2I1qw9gbZt27ZH/fuBAwckHA6veu6ss84K/M3mzZuNfw8ODoqIyNLS0i+ZSmvWrFmzZu3k2s6dO1fdO/vss6Varcrc3NwpSJE1a9asWTsT7f3vf7/ce++9smnTJrn00kvlxhtvlIcffvgxf3fgwAHZuXOnhMOmC+Xcc8/t/50WNO9ZdWdra9msA9GatSfQUqnUE/7OSCTie9913Sf8W9asWbNmzdrx2iNFwjyziEJr1qxZs3a62ste9jJ5+OGH5SMf+YhMTU3JBz7wATn//PPlq1/96qlOmjVrp71ZB6I1ayfRtmzZIo7jyL59+4z7e/fu/ZXeG7SJs2bNmjVr1k6UDQ4OSrFYXHX/kSgMEZE9e/asuveLX/xC0um0jI6OnojkWbNmzZo1a742OTkpb3rTm+SWW26Rffv2yfDwsPzFX/yFiATvq7Zs2SJ79uwRx3GM+w888ED/77SgeY+qztasrTWzDkRr1k6iXXHFFSIi8tGPftS4/5GPfORXem8mk/HdxFmzZs2aNWsnynbs2CHLy8vy05/+tH/v2LFj8qUvfWnVs3fccYf86Ec/6v/70KFD8uUvf1me97znBSLtrVmzZs2atSfSOp2OLC8vG/fGxsZkampKGo2GiHT3VY98RkTk+c9/vkxPT8vnP//5/r12uy0f+chHJJvNyrOf/Wzj+VtuuUWOHDnS//cPfvADufPOO+Wqq656IrNkzdpJNavCbM3aSbRLLrlEXvKSl8jNN98sCwsL8vSnP12+9a1vyS9+8QsR+eWRhJdccol8/etflw996EMyNTUl27Ztk927dz+RSbdmzZo1a9YMe8UrXiE33HCD/M7v/I685S1vkWq1Kh/72Mfk7LPPNpyFIiIXXHCBXHHFFfKWt7xFEolE/yDtve9976lIujVr1qxZOwOtXC7Lxo0b5aUvfalcdNFFks1m5etf/7r88Ic/7KsyX3LJJfL5z39err/+enna054m2WxWXvCCF8i1114rf/d3fyfXXHON3H333bJ161b5l3/5F/nud78rN998s6HALNKNcf+MZzxD3vjGN0qj0ZCbb75ZhoeHDcVna9bWmlkHojVrJ9k+/elPy8TEhPzjP/6jfOlLX5LLL79cPv/5z8uuXbskmUz+Uu/80Ic+JNdee628853vlFqtJq9+9autA9GaNWvWrJ1QGx4eli996Uty/fXXy9vf/nbZtm2b3HTTTbJnz55VDsRnP/vZctlll8l73/teOXjwoJx33nnyyU9+Up70pCedotRbs2bNmrUzzdLptLzpTW+S//iP/5AvfvGL4jiOnHXWWfLRj35U3vjGN4qIyJve9Ca555575BOf+IR8+MMfli1btsgLXvACSaVScvvtt8v/9//9f/KpT31KSqWS7Nq1Sz7xiU/INddcs+pbr3rVqyQcDsvNN98ss7Ozcumll8rf/M3fyOTk5EnOtTVrT5yFXKvEYM3aKbd77rlHnvzkJ8tnPvMZufrqq091cqxZs2bNmrUnzEKhkLz5zW+Wv/mbvznVSbFmzZo1a9ZOqO3fv1+2bdsmH/jAB+RP/uRPTnVyrFl7Qs3GQLRm7SRbrVZbde/mm2+WcDgsz3rWs05BiqxZs2bNmjVr1qxZs2bNmjVr1oLNUpitWTvJ9v73v1/uvvtu+Y3f+A2JRqPy1a9+Vb761a/KtddeK5s2bTrVybNmzZo1a9asWbNmzZo1a9asWTPMOhCtWTvJ9mu/9mvyta99Tf7bf/tvUqlUZPPmzXLjjTfKn/3Zn53qpFmzZs2aNWvWrFmzZs2aNWvWrK0yGwPRmjVr1qxZs2bNmjVr1qxZs2bNmjVrgWZjIFqzZs2aNWvWrFmzZs2aNWvWrFmzZi3QrAPRmjVr1qxZs2bNmjVr1qxZs2bNmjVrgbYmYyA6jiNHjx6VgYEBCYVCpzo51qxZs2btUcx1XSmXyzI1NSXhsD238jM7r1mzZs3a2jA7pz222TnNmjVr1taOPZ55bU06EI8ePWrVaq1Zs2ZtjdmhQ4dk48aNpzoZp6XZec2aNWvW1pbZOS3Y7JxmzZo1a2vPjmdeW5MOxIGBARERufjF75RILCkDB+v9vxXPTvWvYxXVh6kPqyfVxUFYogQNGUev3ag+FKl172eO6XcE2jMrU/rNSNPpX3fi+s1mTq8zx1r6nrB+p5VCGiP6SLSm74w0mSetvuiKPpNY1vfHH57V928ZFRGR6nhC/MyJaVrSs019x0ylf90eTPevl7cnkV797eCnf9i/Ll79VL1/n74nhLJujGj5NQqacaZn6PvT/eulSyf61wP7qiIiEilr3TQmB/rXyT0z/euFZ2lnYNtoZfU7nYRej/yo1L8u7cj2rwXtJ3NEv9tJaX2EG53+dWWTltPgT5f61/XJ7jsrG+L9e9G6piuMug53mF6cCqD5hvBMO63P5PfW+tfFXVrWok1GKljj5R9CP0A7DKPZNge0EFLzTi/t+kIH/Sfc0vfVRvSFjZw+kyzqM6m5dv/6yG9qmSYW9PmQPiJODGl/GGmI83l9f3VUy2b4fm3n5U3demB/YxuMNPQdIa1eoz3QYmV9KL6s33Fj+v3Y4QW9n9W+5Ua0nGZ+Ld+/Ti5pGnJ7tT+5MX2+PtzNR7ykhbQypX0+WtX8xVaQxqK25dqEpqWd8B+XYniPE/HvQ157brfqctd//EV/7La22ryyufJLfyCxTNz4WzysdTlT1bEoHOqW70Bc21c6qtfHVrS8ay19Zyik7WgwqeNDMqrfKTf1+bajbWB6Ode/vnBCx+VDZW2n6ZimIRrWdsL3dHrXuUSjf8/B5MzfMU9ztYz4WSKibTkZ0XwUYlXf56uO5q/YSPk+s1DVb501ONe/rnX0t145ZWIYIGGNjnaaoYSmZb6u796QXu5f7ysP9a9ZBvOo96HUSv86jLpsdHS8HMMzDgYplvF0RdtHy+mmc1Ou6PvuwyWt34GEjhUs93mU19SAzp/85mJdyzoV1TJj2mNhjEt4fxG/ncyW+9d7F0b612cNz8sjLRrScgzjuulEfZ9ZaiTxvJZBCfc3DWidTaNutmR1jl9uaXpnV/SZwZS2A5ZfHPlu9uqD6aqjjDooU/Yrvi+N8i2j/48ktG3cvzTevz4bbbzU1LyyDbM8mrgf1P7z8VovvZrGSiux6u+PNBdtttrWtLPNbkQdsM7Yb2gx3G9cNeP7zPFaW1ryHfmKndMexbyyeebF10s0kpC5p2hZDf9c6332YuyhsLYr7NVxn/uphfO0H6TntD1WprCH0aYsK7plkBSGB8dYz3T/XxvVe7n92l5KW/X7ETTZ+pheh3UqE3RbGboffXhI3zP25T3968XnndW/Lu7QfGz4rr50+mnab1p5zXfhQf1WIx/q/R/pwno1psOysZ5rsRlTWhXr2yimUmNvoNUkbUzPMV2iShzfrQ/j9Ugb9+befiOKMh3+mY5bi+fph5q6JJH0rCYew7vUB7GWR3rz+7XBNfKaqfImfX7goP+eYOCQJm5pl44/8WWMM4Pd+s4/hLaMNfXKFMZ0LPsyR/UdyaKOrbUR3fCkp7GvwJ7L28uImOWbXNJ/1Ac1rx3slSLYryXwPNuQt49rYu+cnsW8Cn9HXZczktDhWob+4c7+9fR/2a3fQf9nH0rP6D+q4/CtoJ1Pfk/XJQsXYA7HO1Nz3fdwn8Jy576xg71lHD6D2pA+k9+P+faodpDGoH6/sgkvMvqT/16b/SC3X9tYaZv2/+RC97ttw2/knyfu19n2xz5/b/968UXnd3/XqstPv/DfjmteW5MqzKVSSfL5vDztd/67RGNJoxGzkXNyYGNJz2lDrGEwZ8VirSOZme5L64N0QsJh9qA2mlZea62BTtSCQydZpKNFv9PKwKGyqM/Q2cYORadI/FZ12rV/S512pc2aHm/w6CTpgKIHSr/fRFqyx7T30UlVH9LEMx8sa8PZNq2Vk1jUVlyd0E7B9/M9dN5wAE8UO6vy0RrQxLBt0DlH4+DZTul1vExHi79zDGtpsyNzkAhwAHudvQmHYGpOJ4qVSQw6TC/LF9/nu5lXthkuXlimy1iwJHT/Y/SD/D59UWUSjoBe9XHijlcwgebpSPd3Araxf+c3axP+TrtoNeR7P3NUr9lvOGjWMfjHVlCAvctYDY5YlDUnEL47XtSM1DG5c0KgJef1efZFOlqr49qGOVllUMaJRX1PuM323/0w22lyUdsVHdZsP1HkO7mgz3vvExFxceDB97NeE8vow71PtVt1ufuf3ynLy8uSy2G1Z61v3rz2gv943SoHYhgV1cTEVm132xsdZryuYOPNdxQSOFSA84wORO/dIiL1trbHApxHdHjQsTkQ93cKrsCJ4TkunQBHCJ1eWTgQi01/5w7zzfsbU8X+dUf4LTjp6zh04g42wPzSEOQczMW0LJIR7Vd1rE4H4/rbYzXtH8v4TgvOmiAHLR1GLNdSU+dYOhZLcOR4ZR8PcN7RcTuc1PRWUKcd1F8Mv6Wxbo6VNK+jWd1tsg6YPzrQ+AzzGvf5Lh3wDiaYNq75Dhq/ybKhsa+MJLV86aBkOQXlj8/M9Bxlk3DEsh8sot92AvrNKOq6CAfbRLqM+/qesZTeZ/+otLWdsJyCyox58sosirKjc7IAByLbBvsHxzzWB9s764DlxD5XbGpe68/Ww49fxtpuS26XL9s57VHMm9Oe8sq/kEg8KbVhbS9cH3HNWYNDLgLnEZsaz4T4fLyo180C7sNx0RjEO5EGr4mlZ/yfjWnXMBxWOIcy1tpOVNty/iGMxdu5lxFfSx+B83wj1pqLAJwM6P1YBXvgtpd2ABBaWC9zD0nnXYBDsJP0f57vYfly/U6n4cqUXrNeCUzgetRJrH4f64DGtsERiQ5M1hnzxx+04PxMFPF+lE0EOCLWH9sKy8ZLM/0O3IclF+CPGMG+CuWeXOSaWhOcO6AZWd7uv67nPrY5gP0G9gwEc+QOaiWvTGDtjz1+ogf44P6IZdExl69Ii14H9SG2B6O9BbTVtmIdZOh+fai8SR9ie2v1lqncrzIfhnMb9Zg74F9/nYA+zN9mj/mni34TAnqiAW3M2O/3yikBf1J5k6aL+2vuf7mPbaVXj8edZl3u/V//9bjmNRu4w5o1a9asWbNmzZo1a9asWbNmzZo1a4G2JinMnkWarkRcV1oZnHoDUUTY6ui3FJq09PRJfR4QUlJZiSzzEFT04rphfaC405/+lACMme5len0N5BDuJxf5ffVYM11EWFavuQyJwyWe4emDvs8fzUavN5FGLqDXGcCniWpq+TPMpF7AyX8KqEPUU+4+zXjlbD3SaWU1I0ReVce6TZjlSIQiT5dSs0B/DGsGWaY85SBqlOjMesH/NC8IJUk/vRNbjYIkPbmyUdPFkyZ+x4A6I4k4aDfQrzw54skb2xvLqUHIOegeJZxudHDqE+p9dwX0kVZJE5l/GOg35M88rdXrdgYnriWU+4j+IFoDkghpaRT0Oo5TWeOEi/RnQL495GEHdWeMJy2EJ0A/aAxq4ttJlAFQvLlDbd/nWcfZI3pMNsBTwHEcRcKaoPvz1M6jLpe2gIKa1Ov0NOgQo/7HZ0yjgb7F44TLs72HOkBP98aX0Opmby3AwuJKWFwDUUNUFVE/M+UuSmkgiSNWWARIoAQRehjs+R2il4i2isbQ9wIolbSg+6RL99+HNBJpRPpwOK3pDULZ8ZpIJiKfUhjgGyF/ZBmfZzktNnSgyQIB6FFyBzJ6bNyM4d1EygXEOzDKPaCuWZfTQO5tHVz0fZ7XRB0Gmfc8UXmC+TAc0IlZFvNAKfrVtYhJe93pQzd+5DMGrR1tj6hKomK93xr5QHPkO4LKi+0wiFZPtCyN6DrWJb9LY14Lcc1HutBt5+xLbJvsB3yG9RSUdlKI+XyM9G4UWlDZBPVF3/pDGjnm8PtZoHX5Hb6PfdJAVQPJyPwRgWjt1Fi9EJJIIiQdMk0wFJI2TCqtsQ8JQPq0sTxqT/g/w6GA3+0kGTKo+4eVKaC9UkApYT3HdzhpMIxWsMfJ67hf2qaJb+f8xwGOtZULMAcV9bdEHToJsBLiYMf00IadYW33bQfrM+xd44f9UWvG2hx7luxRfU9lK0Mm6fPRFYwDoJeyLMlkiaN7ugaTTVYZUWt8lmGXqmNgPOhW36Cus83wO9zj1zSyg4F85PNE2hlITaP8vGeBDtM/y/I2f9Qh1/RkIRHFt7hLE8A9FFlAlSmEbPo51v5j3BjqZWkL/A3IB/PtRUwyEJjYNxJ5Sj8F24Ox58O4kAhAHZNYgOnASCPRfXGEp6uNoO/2vktKexRLFe4V2SdWJum/CEgjkINcLq2Ma7rabNch/2uH7Dy0CU5l9V5fIBqS6ZKAdJHqziVMu4fM7PhvJXxtTTsQ/aw2ik0EBoOZ31L8NJ0CdAbRMuDbe7G+lrdiU1BmnAV/Z0YnQQgtno/7N1wOiGwUHoVaRKSKGHJ0PvC37NQtpCfZiyFHhxVhsyZ9F5MTnVFocK006HEt//zx/Uyv4awl7fwpGssoVsHiGzTgJhyqbc8Jhl7MAYW0TDoNWQaOAY0OcKiS6oABhh2T5gT0LJaf127a6YCFSQB02XB60+m8hM0VJgFjwcRJABNRa0B/6ybQ9svICNKQgIPbm9T5bpbX4jl0iiItXFCQ7ov01ge0cjIH9KGVjXRS4Z0V0KX5StI2+DxCW6Z7sRxrw5yd8GxS79M5GGRcDPCdbBtcsJS2gk6Y8u/btCYOTuhA9+gsrA/mvzam9REB1Z2xTyI1Lfd2WtPOfGRmdZaLYdFoxOHoORaDqG7WVlvbDUvIDRt03ySCD5XhONkx1I2haTgBA5wGBlUYAxEdQHyGNMtZOIboFOEmPxH1p1HT0eLnhCI9mjac9o/zx7wG0XfpcKCVsBorxHTyjRvp9f9tUFy1XI+uTecLHT1RI+ZexPe6YVBzNR+ToJqyzng/yHnEuJEGHbTj75jx2sESKK10Og+C9m7QRdF+xtLKGeO7SY0/HmMbm0YczyTqmO9cQmzEhM+36GwkxbiOQZIOqGhAbETW2TIowcOIach8G3RwUnjh4OJ9xmes9OIn8u9sm2Zdt3zvk3YeRGc2nICY8EjDN8sMBxs4jasHcLm89Ae1GfarIOcradYjAc5wUtP5W8ORbO2UmBvq/tcJoPu2sA4zwwIF3M/43w+il7ax1ozUg9bbvQNkrDmNplPDGi6DxMMh1xnRvsT8JeG8qsKR1BnQ/hNpYN6J4xApirGowXhnWLNzyuodPLhthEYqIL51UftYc5gcUVy2/fdTtYmQ7zPtPMawpv/8aYAn6PTt+O8F+8CSACcLrbwZTsucf11zL9wATdXYy8DBRWM7YNvj/jZoz+et8bmOZ1oYk7KF7xtAETpW8Vu2ce7nqqgn7lcXztcfMB4hnfZGPEt8y9iD9tb7zQBnP/thDfH16RQ1whMEOBNZ322OEQE+eB5EEMzBMcIrV1LO+U3WI79DcAqNbZbO3ZUNes28skxJ/ecYGBQ2gG3Pm3r5bBB4jM80/LtnP11B7djP7MxqzZo1a9asWbNmzZo1a9asWbNmzZq1QFvTCMRGISzteNhA2hgKUKSjGh7mAGooSmMFKj+ZXqxlHrASTUforuFpxjcZxNZA8QHJxHzQUx8t44R4QhNJxFAVSErSnwnh9oLCNrL++U8tAPKLYMekfDJ/Bo0VEPlAGG1A4FohTQGHyxGo+i6drccoREd6J5oEjRA9SoESQ2kJSrjZo6BEo96NkxiKR1Ahm4AaghcZdDcAfdoX8+ApKANL43SiidMJtl+e+ixv84eeGyg6PB9Ge3PjhBeCqouTC0PRbIQCJd0PUKGNbTkIANDJ+B8jhVr+x4wr2yHmk9JrnrQ6S4D0k7aMujQUlGHV0Z7qJVCrVK8yFIiBYiYNmkjACGjvVNtin+fzRB0bSFXkowVkIkVzUosI0tujifObRK02EEqA7cGNsKKAYA2gzJc2a4PIHtHvd3DyVx3voSEbFoF4vJaONiUWFalE/FWQaR66J4zTfQox0EzqJlTygGAjApHIJAPhhGNOIg0X6johUDiEaafQyqZsUUREmiEg1QKEMfgOovWyiKbPdBHVFMHxM1GHMQwEVHklUorCKAaV1Fk9drVQpgfLerw9lVGIAdFhJvIMY04AGvHwisITRiBiYqBJMUETQRaEViOKzyvjPGi0JhXc8b0fhFo1yisAMsB6ZbslJZmK4S1nNWJSxGz/HkrQbL8QbUNdG4JDQAUGibLwPeEUJ381U8xH8836IFU5HiQG4/Vt5J91zbILQhFvQNs7HtTxQgMq2lAGp4XFP980Ihm97+aQZ4rLGJTkAJp8Du0hSBDIpHqTau6P2rR28qyVE3GS5loie1ivi7vARkEVMVQNkVoU1zNZInrtJBG+Yw5rY6q8ko0y1PsD0Xf8O1B2Bt23jnVbglK12h7LZ4OtsQQWWQAzwwUqLzKsY3or5b9lD+O7HkXZCH8BtGIoRlgV1hUppB3PO8hHB2UTL6KPj+J5hPdhfRvht0C/ZoCBMN7vidBw70zEVn3Mn0lnKEvnMQ5g3+tgj+NEGQLNnz1niLEU9JqiPfQ9cJ/spbmu5DrpcL+FeiKKkIg3+ia4fzFo3gF7UdMPodekg5MmKwFUbNafl5fMEf/0VkH/dpDX7GH/9m7kleEGyPwLCGEQhBgkqtKXUh2AaA6a3oIQlgbzjmlkHQSgRg3fEd5JNGJqVq+JkPWU4I2wUgF7bda7EfbscdCV/WxNOxBrQ724GmjwHGAMOCchwCzkAAdaBRLutd4PUlBCIjyWcwA7Qm4fNu2DHBj1GSoBkX5NB+X8xToCROFgM2LxIa9GZ4wgDT2HldH4sdek05ANOI98VBDnjvRrOjMYD42DR6zkP3gYSl2AXlfHNXGGQhgmmVhPUYjKxHSQpOa1gpe3UvFW3xcUVzLKTsfvYwCnRL0XQ0XEzFO0AVrSsFa+15GD1Ho5qAc5cYIGjxjbCeD6nPAM6DP3d1hUtBF7rF3AhncF9PxeXg3KLBZpLU5UiG8Y5uIFlRBCOXZy2IwtgabJBRMWRI0RUAfLWKgh1g37a3oa7a0XPyfBhVHA5MuxhXF9BJQJQ/0aCu5mjFAs8vB+OjxdQu3x24FD+oPFc7WveI56wulJiTYOXHCf+WO7MtWv9Zrv8ZyvIma+vXe6NgzVcZvjhsRxQ4YjIkj91duc00HDZ7mJCHIa8Hk6lOgECLrP75Li6qfuK6JOQxGRYyvdgWESTo7pqq766AAinZsKwLNwSG7M6uSfRGOmw7EVggo9N0kBcfbycDjS+TBb0+965VfGgB3kNAwbNGd/xxDpz1S/3ZjR/NEBM5KgqrKmIQclbNLEg2JFevELh1C+NCPmIJxBVKRmmw2Kj0enbBC9lE6lcdCig+IXGs7YXniSIGeRWR8BDivkj852UmzpsGIbS9FBi/IYS2k+6KwMirfoKaWbjnQ8i0NNliPrOihmI+uGDswMTnkbjn+bSWGiotM8aAzyHPKPNYY90pgPpteIg2nEOsRhRk13bNtyC/3rxYYx+Vo7SdbKu901GLpbZSNP3PEwbreycDTxEB0OIJ7iJ2bQZutwHDO23STaISjEbo/bFyKlNqvtzl3GZimH+0hLOIqDqxGMIQRYRLkZxV5pEPRnOkVboOYPaEYYy5CHLG7vW9GUPtvBpjeW1Dy3qpqWENJuvE+TYlC064jza9C44Rw0yqYGx2JB39MBNbxDmnNvf+DAgci9hEQCxneD5o20wKFsgiToJVu9PxMxtQK4J2qBLm3SvrEf7a3fue/nHpZr+jbaO9sh9y+kZXNt3izgcHIJ7Qr5Cy0FxMuDcY0fRNf2+mVpO9aXh/Tv3HNyw1XaqrcNTQnUOwEIQVRl+hVY7tz3NlAeTYOfv/p9dIQy9qUBGglQ9Ob7qgBssW4MVXOGcUATZnzT5CyARnA805nYV58PcMxHoQHAd7O8uM8r/KLnS2n69ys/e9wU5m9/+9vyghe8QKampiQUCsktt9yiiWy15IYbbpALL7xQMpmMTE1Nyate9So5evSo8Y7FxUW5+uqrJZfLSaFQkNe97nVSqVTEmjVr1qxZO5lm5zRr1qxZs7aezM5r1qxZs2btRNnjRiCurKzIRRddJK997Wvld3/3d42/VatV+dGPfiTvete75KKLLpKlpSV561vfKi984Qvlrrvu6j939dVXy7Fjx+RrX/uatFotec1rXiPXXnutfO5zn3tcaWlnRNxkMISUCLmBQ+pVLe4A6gcQzpVJf5SOZ4baDr20IX+POb3zBioH36wCdRgU9JKIJaLS6BF3DTEU3Gfg1t57eMIQDnA2GyilAEizgcKKB5yWNHhyo89H/UEOEkXZMMgpkZfG/Wr3/UawZaSRAjA0HkKsjAWIZvCdQNTx+wbEm6g71Fl9EOIbRLS1V98jgpb0Up4EGbQAngrhVIQwewPyTopHgEhLEBXboHYwPEAvbUS88fSuWSCEjbhxfCjjTw/hEQ1PE2UFFKhBPd5p42SxzZNFnH4mFijGAjRK71CUJ3888fEQiiKmCNDAQYQSgAIcy4BhBToByNIQ2niroNc8ueQp/PyTVqMOuy/t/s9AC1PsB8XCcAANIJqp4tbI+yOTB/dCxOAs0Fx8RKM7Pqd+p4udTnOaSBfx5LhhAz1EVBoRex4iqgD0Xw4B2E3F5AAOCIyUWQoXBNE4TbqtPxXToGsiH2flu5Hll5o6MYwEoN9MsRT9/tacdqxoAF2UKLOtKUUjVREbgOqvFIbgb8cSOsARIeeVK6mxtAJo1lUgCuch/DGR0ndTuIR1EGVg/YBo8iybqCHIARV2oDOJ/vIEUEjhpgVRmAsG5RkoNFyzbAbjWh4/W9Qj++15rRu2VZY164Zpbwag5frPBij6sl0HKSbXDdq0thO293nQ94mwpAUhJlmXppJxN08G7R3fJPpuCAuqeNyfls0xomSgRoH0BTyCaMS5hg78CaOfsw6ozrxaJIVjWLEOMSO0nyCKNo1iN6T1M2xCUP84k+x0mtecmCMSdwxWCBkPiUUwQbZBWGQZ6LQBLlwgIML1fgH380TKEoEExGJG22kr0u1vyTRQfkQXFeO+v2s2dOwZGNC2Watjfca1K8LvOAi/E08BNV+ByBLS04ZACZGEiZheR3vI+lRM3zdX0v5L5GKkoH0mhphfjRrmAJR1GM+4QOsZ6/Qk2UFgpjEcBueyZf2Wi/d7itZUkzaAZCUgrSe03NtQiYijrJslKM+DzRTCbzsMn4R815Jstxiv05g/ZvFOH/XiDtS6iQILosxiqSJV7FP4PNPCzTz3gobYDfaahuIz9q6GICuQfkS0hXsVwb+Xt5Ai7s88pG8gcwTIxB3i+0x8GfMh0J7JeaLr9LeNIbRDTB/0N3h7405K66MMGrsb5Z7Qf+9D5GAU+97aFNbsEPSk/4Jl5pIWjXANdYjBGCJGuN8XfUJ5JecwH+f9/TCtnLbZGMbXxQt77w0QhvWzx+1AvOqqq+Sqq67y/Vs+n5evfe1rxr2/+Zu/kUsvvVQOHjwomzdvlvvvv19uvfVW+eEPfyhPfepTRUTkIx/5iDz/+c+XD37wgzI1NeX3amvWrFmzZu0JNzunWbNmzZq19WR2XrNmzZo1ayfKTngMxOXlZQmFQlIoFERE5I477pBCodCfkERELr/8cgmHw3LnnXfK7/zO7xz3u1uFXlwNuINjZQgEwMNeAbqQyCsig/qc8kc84133RS/kkfE49DoKVCA940RDEg3EGHr02hPRRw8008U4A/Sw5x/GyYkh5746XmA4IIgmkVFEIBkxFxgHgGZI3mtakvOMjqqXRDsSuWcER8V3HZyieCcqPBFoB4S5iaAOeCDZzDGmot43ZN4DYkGkgVBjPhjsNIx4GBPf16OI6ad3X2oIfATUdRCKkKe4RuwR1F/+FzjZQJsZul8/NnsJhEgmtFF0mno/NIC4JWnUZS/WTAgIBAO5SCABTvUkFIAORSwWB6eJoSEUFGK3MI1sV5G0Hqt1GnoaXJ+CIATirzj9UzV9R2WLXjsx//Itng1kCRCkPC1tYiwwhIjYloHQDQqoy3bL00TjhK3XL4PaCYAaRrxS4/tN//GSbXx5S9T3Gb8gyD6aE2vWTuScJtJF6kTDHUkDjh0kBMDYYH7PxhG7kAghIqAYy43GuIdEbRnoLIolADFEdBYtgaPuqE9MtDzQRTWi0JDnAUygjNNG1BrzNJlUxGaaqCp0Sv6WSEOmIY2BOoO6ma13O+iOgfn+vRUgDbP4JgVdJpI6WDAftDEgExl7jnXMcoyKf5w5orzYrswyi616Nii+4cFyQfOR0TTGQ2wzmqfRpE6sqYg/gpT5C6pj5pvIOdq+SndRtWFAyzeKeJcsUyJCwwFo3SBkHdF3RM7yfthAgfJbRFUSBcn+2s13FJN/UExTGt9H1CiN3y82dSLZnp33e9x8J9LTAFyF32IZZHvtjWmfMOoAAnkYH9IJ//wRATmUrPk+MwpxFY451oLthM5rMVck5hosktoklS+wsGF8OqyjDUN/DhPRg3iBYcTGduraThN5Hf8iaLMe2CiX0r+vYN3oIu5hMoEYokD/RYACG8joGFYFGnE0X8Hz+n2iBFMD+tsUvpUuaJ+YLWL+agD91ktDeUXH7u1j2q+XgXxn/mj1om544uM6tjGWYgeiKyGsAwyRFsb45noc9cFYhpkHNB/VC3tlABGXSA5zaRaCVoxrC6RfMo61PhBZjZh+J5XEvoYozKOkfemlg7jsIew9uP9ywKjqt3kyGJcRaxH7CqIFqxuApiVVMLR6T99NAJB+QNfFIdrTGAZCrsr45/Rt+LO+WogpmD7SzTcZXFEiM8H+ajOGJ9CIxXMZD595gv8CiD7mLwFkIsV0WAdE9PkJ3LQRF9BBeXEoInrSYHMCDcmYlKzLICFMIhzNWI7YP6O+Y0B+NkZWIxyNvTbSbggFYW/Hsua+sNV73nkcm7UT6kCs1+tyww03yCtf+UrJ5bq72unpaRkbGzOei0ajMjQ0JNPT077vaTQa0mjooF4qdTcETsQVibpGRzAopVhLc3PMhlANCJhpUDB7G/IgFSAqKoXhnGNljt4DWskG0C9Je8UAx1acnvGnSNJBGVnSazqDOPJ5jdtQgUXDpgIUG3kLSrSG8xUQazOoKL6J95gBX8X3PjuvoaZFhy0da159+xedUb504tL5Quotnch09LA9UCClstH/W+0UBxJN0NK52hD7+UPag9ojYcoD+/V9hDQbynBIywoPipGPuYsRVP0on0faEWQ6xIDEeH9itpvQxhgWFE3OlkgYHHbJGdDKBkEr2awVUg9pAyX1gjQJKaNDY9CMgsrlYPPGygwZdITub0OAdVP0hQ7ECCjRoYB1sKF8RaoyGd2kLaM/U4G7Nok+BGe0ofiO8c37bTNgHiBlnkQvIx8B0XENJTJ8n4GHmb+gIMhr1Z6oOU0keF6LhdoSD4clhsJLwJnHxbLnjFlq+p+acCMf5HChY4gOGooY0InCDTk3aaSR0hlECmrGxyk6HF/B73RTQCfSdF0nGH6fjjrmbyqtg3QOJ0cdlAepxXwnlYzvLSrFNpH3/+6mTFFETFXn8YS/iEoLi2nHSAvopYgZUoEoCp9pI6+ka6Yw6Pg5aEVEShgA/OjavEdaKKnHLOsg5+4RTPITYf/nWQb8LR23rBteLyMfdGpfOHJMRMy2tAAKLtsm38c+lI1pWuhMjAUI3LCN00HL+jMFZjRtdODRgZjr1fe+kp76bRnQhZ5J24ZIAhzdprAJHG8Jfxoyje1wIObv0GWbZHo4Xgz2+net4++sIG2ZDmi2Xzre6cDk2MH2kEUdsI796O3WTvxeTeJdCrOEsBDifosqwRX8ARTRyLz2ww5Uf1Nw1NVIByVruICDqbL223ROfxvtOY946MY5MAGHFR1/MaxLl8oIx5HXtplP4wAHjn+OCStJUJ6pvI6DuSbSM5zT9zdw36Mucyzhd5YoCNIJWOgBLMBFImnOHYiohHhQwT0cpqAYxpwIBF7qy7rwrcFp5jl9Q9hDRgAuiCLkRL0GkbWCOmjn5rExpSp1wn89FYOz1pnU+Y6iMu2HdS7pjOF5bnlQfh7FvlPl4hlzINq4qeiNPgFhGFKhKRjjxPwX21SiNqj/EBlqDKFcV7AvBM24vAvCWJ5jL4O1YxoFgP0RldQp9ELnZCfFjqvmIr2Fn2j5LV4E0TR8y6CXY89spqH3ToqOLus/KMTJfSl9GcbzoE3z/NagKmOLGi9C8GwD2glo1HQAtzCXcr/azvaeQbvmOXRqWn9Xm2DoAX2GDmXv3fzGY9njFlE5Xmu1WvKyl71MXNeVj33sY7/Su2666SbJ5/P9/zZt2vQEpdKaNWvWrFl7bHsi5zQRO69Zs2bNmrVTa3avZs2aNWvWHq+dEASiNyEdOHBAvvnNb/ZPtEREJiYmZHZ21ni+3W7L4uKiTExMPPJVIiLyjne8Q66//vr+v0ulkmzatEkSC2GJJMPGSRORakP3I8DnRn8veAiHAmGgpogm86iAQcg20mczh/V6Bei04g6c1hChQ/RdlN55vU8KMT3ZPDgmAsmELyMoNcrG7zukU5JO7QKiS696O4UTHQbeREFFQSknSpFpz+/Vd1Y2+ueVaCdKksdWerRTPMu6iQEtSFoxkV9EHQaiF/E8y4knJ2HAndkmmFcGmu3nz6Bz+5/EENpupJcHuoAmN3GK4iT8TxSIomPQXafNxsdItGisoBY3t3UrP4Qg02zLhnAKTtWag3j3mH/k1lBA4OUUglU7eX1P5aBmpJ1BnxvRBhTFKSYDLksvoHWkCtEboAIprkLaOdsA0dCkwLMt9QBLIiJSH9FrtuHyZtwnTYGCTTztouBOr30mF/V39UEG0dVnSX0mxT9IKIhiLaTD00id9n7rj4VaO/ZEz2kiwfPaSHxFEvGmgdg5XCv0r3dm9VveMwY9EJRdoohIQyRtkKIPPI0nyqwdgFIiPbeBhkL0V7Glk1MupP080UMJRR1/pFEiREorBBICkHukNlaQvxhRZoiRYQiBAI04gMns6cP7+9dEXo0nFSXtfYtIJz5LRONwTCcS0qmJXjxU0863IzvXv25jsB8FbP5gTeOgsDw6aBM5oPuMOkM6D1W7A8coKNx8X4uUXSC/2MayQNaxXRFNxrY6nFC0CMuP7aBKGnkAenClsxoNyDwTdUj0KN+RD8gr2x7zQUQmzRB6AXqARiTjUGLF9xkvbRRNYp6I5iXCkvXOkABE7qUC0MgjiOEyhjb29Zld/euLh470rw2KP9KT9Bkvwsb44P99IhdZdjEibvFujjNEILKcTMSrRSDSTtZeTZphkUjYWNOHq0BPgfLo4jqMtRqRV6Qq09ID2gZrVaxHUe9EEsaBqMsmu/c7AeI97aYmnj12sqB0kYWi9sNFoBFJea619D35lLZThgxJIjRJEZRjtuXlqo67IwOaokivnzGExCzQb0mIq8wcKfSvQ0B7pViOEHQhC8hgfQHJGKcwDQRm2i1QNKPYU6b8kXN9URCgUymE4uA748M6RrKu84NaLoYgDijlLA9S0GNABhLlX96GPRz2Dy5FxpBmrz1F0vqd2FGt09AYQkZFgDYz0LRIfAZofpYHxQtZN0AJhhchWMNQQ2BXtfKa7xbRde7qOgsFiBOFsV81EJA0vppMRYp1AqW4fL7mw6AHY7xIHSOqUp8h+N1j1SUO6U3StgmrI5OvA/GRdsc/34P36veXdwJhibHLYXg6UOANxCL6opNEe2O+eyEEWEbhRc1TbQq7LoQPIPLUmKZ75e62/X0QfvaEOxC9CWnPnj1y2223yfCwucu87LLLpFgsyt133y2XXHKJiIh885vfFMdxZPfu3b7vTCQSkkislkXupF1xk66xsWejXDzX3/FlwFx5n05BtnlvE4wOSrUvQn6pJjSwT6/pTAyK/8eGS848nYMGRTtgY0+aIyGqydneQAZnHPNsOPhQpOxcdFKxPEjZNaDUjNcAxTFScpdQT+lj+lPGGnRWV3/3u17ZsP9TMRkOmgQp1wUkkc4drpfwTjp6migPKlOxPKIr/rHlyODwnIV0OhFq3U5jM4/QRAalFWPExPe1wA7/J1AsQP3gOwkhdyNwjhVBjUL/cLBIiBixRrvXnPA4CbiMo4jJz8GkkQSloIWFRjSBQRuTdRaxUJpweJZBuXaYhmXEWZrURUUbPBq31286DHfgv/+TTtp/wqNDruXjsBcxaeqG057lMQdn8Cj7lj4fwbcYu9PzkdAZb8RdpEo6DwfYxzhGYSxKFPWa4wUd9Zy4Pdq32zn+Sel0sxMxp4kEz2vpSFMSEdfYLNBpSPOcN3TEcKNOR0XHiJ+mGxdSD+lkIHWTzkQ6Uei043ULmzBu5kkn9oxOLKbx4ZoOuptSS77Px6hUjbSPxrU86JwbhAOvFRB3sIPNQjJMxwXGenQQz7E3htgWR+CBX8IEsAEdKI8OzDQOwZkZwSQYQb2ybQzF/R1QdMKRAr4hpRte5vXCfDeOBR2CdNCUGvqOGOuUzhqkd2NS66yFgbSGxU06wJGUwgkN30nLwVlJ8xxM/CYdhfMd/4E5YziptVxYHqQKsm+RwkzHFzeeVDXeU9K2vSOnC5O4T7w+OjA7AYrNRtxOTBLsEzyQYJ2x7WXhPKejbmNG20wQ3Z/pOVwfxP3wqt85Ac7t/StwhsP5yXbIfPCaDmCOUYYCd4BD90y0k7lXy+yNSiQRlfIuhMShEi2dHHREYE3EQ8gI1pEtOOSiOOROgibbgMMondY2m02Abl3r9nPSkFNJfQdjbU8Mcx7RNrVxTMc8jgkzJT2J3jhY7F8z1EYJ4Q6qbTh60FcGEtpXIgHxTVea3fJnfMPhrKa31kS8RIYX4iUPeUZ0bFnYp/06MaHzVKOCAzs4ZVuIdZhGfZRmdQyOISZlGw7H/j6WzWRIv8k8kdpNCjqduFnU+wAo5SnESVyo6AFjA2nJZfV5F/trKna3ESc6iziatV58SsaPbIwj7i3aLKngLtZQnRWUI+Jj1gykChxTRbQfAEgMVWXsOws/0bQvXII+yr18BXXjfRd5YtgqF/HqufcKSK7h+zCciThAcAFmMZyrcCDWcK5BP0ibdPDeOxsTcKoZsZww5iAyUIjx8qlMDtr58jn+sRQNBx72saRfG77YDvdlCFl0GOuond474fwFuMpF3SXgvO4g7ZG9ugFtbm56H5fjtcftQKxUKrJ3797+v/ft2yf33HOPDA0NyeTkpLz0pS+VH/3oR/Kv//qv0ul0+rEyhoaGJB6Py7nnnitXXnmlvP71r5ePf/zj0mq15LrrrpNXvOIVVtXLmjVr1qydVLNzmjVr1qxZW09m5zVr1qxZs3ai7HE7EO+66y75jd/4jf6/Pbj6q1/9arnxxhvl//7f/ysiIhdffLHxu9tuu02e85zniIjIZz/7Wbnuuuvkuc99roTDYXnJS14if/3Xf/24E+9EuzkgzZHInepGUHmLxGrCAhgNpKz2VU1T/qgjQ6EJHv7aOBALOJQj/ZEoMHq+iTQiqslQWwUlF4fkhnecwVo9MRTCx5mu3MN4H4RWSIkOufSY8xnkA3DoDj3/RH4GKE8R1WSgpgK88x46Ml7Ue0RjNSFMwzwRfIJ491LZgO+jnii6Qqo78010JtuVIa6SJayy9xCbAP5MFKOh4o37RIcdu4ycdn0p0bJsD0aw1GpAR2DBQ6yEdZA40E0EA8IaqEecsLlAF/LUubakDXhq02L/mjSNFvgvtRbUQ0EtCYPmbNAIoF4XvktPg92tq0/EWdeRqn+bNVWK9X4DVGGKEhGNyJGI6NcwjqDqozxig+F2EzRjIiU9ZXWimDmesb8ZSufGOKbXDE/AMSeuh+1mQGJ8yzvl7DQC2tdpYKfTnCbSFfrouGGDsko67wJouB76rBEgqJDBIHoUNGhSksdBeS4HUJ6JRiRiiIhBIt6IDKziZD5m0Hy776S6cQcNaVd2pn9NlIcTRtDsAHQabSCs6V3EkXIkQOGngcmX6CymjXUz1GvwSdTRICbqCibZTgAVPB0GzRnoyVaAeE0J0GWiwPauaHyLs1F+BoqNAm0+lOAgeilp3kFKw4ZCOCbQQ0CkER0619SBke2qAjh0EB2c9ZfwEYMhepMoUAqCkILL9ht07TBcTkDdlEGRzgAlyXK6oKAiFJ2ARWikN9jXWNauvoPlsoRvkkqMpZ5Rf6ynhqtl0AqA3BOlTFQu+24VkwZFhLx0sl0FieRQBZppYV75fBG05SChF6IdeX3CAsCfJnY6zWuNUVfCj2CLkaZHcQwHiKU20UjYh3SqEPKZRFsDGpEIMq4FqVhM+qp3f+OwLmw4XpPaXEjognyuqmPYOBTpqUpOGjJV7olingQyfK6O2DlAQTUxl1KMpdqCAEvvu2MDmhaqxM/hhcugcxMhSLQcqdUbdmpIjaUVzRPFaPjbOJFPFADE/QyQgcsrWHj20FkhqF/nQPlerkHkKQnRJDAhxgqoj4D5nihxllkzDQQikJ+8Ljd13B3AvJZB3TxY6c7JRHUObSr2rxcXtP2Y5aVpZCiy1HawItAmydzqRKHybKD1gMyGQOQiWFHsKzSXYi8r3W8Z7E9ubVHXZGi2M3gIbDHuLSmQ6UKBO0SfwQrXg0gX1a+ZeISl8lC3RDpGUwg7UoHzBXtUIjB5P4RQCdn9mtfihXgG+ZAU0YhAVWI/7ubgNylhTIN4lLdho/+LVOko0sg+aTDzcqxr9xH/f2x73A7E5zznOeK6wR94tL95NjQ0JJ/73Oce76dXWbgZknA4ZBRaY8h/MUaKLaGthjPIX6hV2gPd93uy2SJidBau/wgLNpSDAUM1YqmhMtkXSQnkSodUaNf4Lu7TaWdAc3t/J40WZVfeAucgHQsoLzoTwxEoLaFs2owxacRxEF9zDOlz//qgM5HOtGpPRp5pNPZoyP/IT7VDTe9GbA5KvMNpiD2dOHBEGmtsQrLxXSOeHGjkEQymXtoMOiydhnCEVnHgm9Q53IhD18KEQNUuyrYbsUfQTkhtJpVWGJ8EcGsqXHnpD2OQbiOOhuG0hMKeW9CJkM2UynDVki4SIlhw1rAIbIPCTNoKldncJtRlL9DKiUzr+2Pl1Q5EorljKEfD8RYQ7yMMyovhTISTPA0xw0ZBr+nAY6ygIKMSvHZ0fBPrUapDc9wg1Z4HGEw7KdeGAxNJZBxPj87s1E9fCvPpNKeJ9Da/TtRwGtIJ5adKa8YiA70LC0wqv5ISSCN9toLTiSgmEjoHuYEnZWsqWdRvwclAx1O918jopEvD2Wc4EODkWGiCloR8BFFQ6fDYGNbDiSqcVGUEEOJm7ChiXRgOPDhaPaou88FNSR4TVhlxLqaQLjqpSCOdd7TjGs5XHJrkQPWk8yiIwhvkjPGoxbEA2iuNbYMOwXk4BAew2WPsRzr+soaDDWWAyZdx+eaxqOLm/lhdTza8+JRBDkaDAk/nJxZ1DhZdK4inyTSSkmzUN6i0hjrycUjSsx978ScLYX0f62YRBwl0FpMiPgNHRDbJfqjpZR8+L6XxDelsZ4iEWADFqY5JI22UTXjV7yLYpBrOTNQNnSjbMupYZEzVtlG++n62Q9ZHHMqtq8ni68tOp3mtNdiWcKot0SUunOCcw5ozjPA0pIvyOoR9QqnC4G9qpIAO5rX9Ngy6K+KCejEQGf8UKvSzHW2P9Y6/g2apoX1pGE67TJyq65reXyxqKIPLJvf7vv9wsaDvSWC+i2vazi5oiJMfHN0iIiIbR9Uhybm/0dGxsoO183gWYRBAoaZDjuNGs6nlMZSDg3IBB/RYd6cH9ZnxEd3gEiRAinL1UPc9jLtIJ9zmfLF/TZVpjglDidUhU0REZuD0pWXh+Nu7rAt1Omk2ICZtqaFpdwIOgkZ7qtALJR1PWY6FIahpY15nWKk2qKkcw5ZAEWe4pw4caVGAOZxxbTNhKkHP61rIpWMvgNrrZrvP0FGYOoTv1BA3k7HaN/H7OBBYRr7xSTqanRV9Px2qrWEcmD2k/a+1FeE4EqvHkXCJTks4+wBCibBMkS46Xxg/cmUDxihSurk/Qyg3agK4A3D+pRB/HNTpMP0HPYdROIU00kXFwxoCd0h1H4WTo9wr37r/IaKfrfdDOGvWrFmzZs2aNWvWrFmzZs2aNWvWrP0KdkJUmE+WRepdcBNFD4ioi5VwwgUEYuaQPr8CyqpBJYW72QuSaSjyEB1HARNDGdWfnhyD8EZ9HB5onLQQpZRC/HwKIJDKSmhriAplQG15B+Ck0RI2SyQc0WkRIKCIqjLyRwMEmfBboi1NhKNeG4IjVKsOqBsv/Y1hoF9u0ZOHA7+tJ0QzT+VH8U2gqogIM9SOA1CNiQXUAdJAurSh7Iy0e6g/CrEkQAvl99n2iA6L6yGjtEAvpbJZGEFbKXDDIKshnNbGFwGFPwtBgoEOcHG64ak5t8fREYCATB7R35FSzpNbUo95AswTTNJWOlCZbtVQIDCmkRB26nmEEIA30jt5MdS3cYDJtmncZ/gAnKSzLuujes2xqD4cQO1lm0EfpaCRh5gUMSnVml7/MYdmKCYHoYWZFhxYtZEWIrmJsPZCGDiPQ9nrTLcj9YLEInFDOIT0P6LfvBNwosCI6KkCuUfUYRCaLmYoA0PdDlQvIuQaQEqQollBwxoEf55920MGkgpqCMCIv21JIcQBBm8iDXmfyKQYBlI+X2/5UyqJiDorrRMxkXBeeZvf0evx2DKe9UehkW5rCKqg7Jgn0lGJtGM7YNpzGLCCqNgespPKy0H0ZKpps/0MAWnIfLBMiYwkOpXq13wmqMyI4tiQKvavvbIsobzY9onG4XeYDyImqTgdlBaWTRBKkFRlCnvkAgSNPFQqFcUTMS3HAVC+aUQUztaBCMV3+H1S2jMc4GFHwgo3J4qWFGaaQe8O+VPiH8uoJs/2Q6Qx65V1EFQ2DMuw3hGIp5OFE53uf0C2tYa1BqLTQPnu0DGMqrtEsFWL2sajoD9T7ZhILQprTABpVzGov920kX5K0Z2LJo/2r4kQJGKdCDn+lgg2otzSBZ3j5xqK3Juu6PXmQX2mjXW6gbrDty4Y625iKCRUQYiDkRQQbznNB9F0MZTd3iO6EUmk/KnHJaAIUxmIoiQ1XWMDWq8UgFmJQGSDKLd891uktxN1mQU6lOMmx/ciEKHLQH5OprUNHCjp2MY55awRRT2zLln3w2ktS44ti3WwJHppXgzrveUlCKtNaP2aonda10vDGK/RBlJQol6Z1bkmMYwNShblhL0S918uaOICwRbu90MT+k5jb9Wz+gjae8F/XiDynH0lNKJpDAFVSeHVcBb07l1AHcJv0tmJMCtltCvue3t7ysikPtuhQriBEAQaEb6UNvaiZPi1RsCqgx+GqMbEAe2L9SmIEwIF2a4jjM6Spq1VgAOhV0+GuBTKvVOk+mUALZ316D3jPDZTwjOLQLRmzZo1a9asWbNmzZo1a9asWbNmzVqgrWkEYmOyG1dD4CVnvLX2gD/SrgY0EJE27Rx8uWUfHrhPPEERE41II+qH8RCJ+mHsQAcx4Rg3z4nDk02EI2uPAB945I24dT7hjIxwNgEIJCIdeQDP7xPxxrLxTpFERMJFLSiipyjM4MT9kUrpY/p8dUKf8URzalP6/YNX6qkT80fkV2pa37eyGTE0B4HOyBLFB7QXRUwYLw9FwDiJiUXE6UFsS68dsF5Sc5rG0tlApRT1hYwHWZ3E94N0N4gUZVBqdJvUDMpjI5Co6FtGUFa8px3vpQ3xMARxGdrnITZZFbgixvDECQ1PIdPDCNIHCxOti/gZLTZcBIRgbNIOT4ZxAuMh9hxDBAj1jjZAoR72beaJ8SmJQiUgo4XYJmw/jCPIkYhpazNQsSGutDpIMBNAZGIUCWZa2D/Nscs/vURtDj6gz8xeKtYepyXCLYlHQiaiDSfTRVcHnalEF90WFEfsSLXQv96c1pPusCEMof2EvyXaiif8jHXI+EhEMkVD/ifpFFrwEIBExLUMBBZi5BjiB+gbAYOeIY4BdB/jHhYiVd9nRhD0M5/zH38MsQlndXrzeDcRWPkI4yH6x4+MBAjDpA0Eqb5zFspjrNdBpIH1yvczzV5ZskyJMKMQCQVPiNZjnEZaPupf1jOAzROhR5Qrn08m9P2LCF6cCGk6vXbF8jIQjSjrmPijJI0YVUB7pjH5UmyHiFu/+H8iZjxSInzYtv2Qc0QfM12JgLL2YnKKiMTxDIV9iM4sIL1NlBPbxlhcFy7TDa0zto9agNCS956OIbzD8Yf1jvIFerrhg8x85DXR0Hx+OO4vHmPt5JnrhMR1QtLCniw+SOQtFtJAHSbz/kjSCFhOYaDZKBaQTupYu9JEPF/sVQ7NK/ps29jCqu8QXch4eka8VqDieJ/CKa4xN2JfgXVsFehMxq4nso3xjeuI5dg24jZ2y2wJsYKLQBdOpbUvO1n9EFFzROg5EAOlSA1R+1yzMyZ5LIZ9AGlcmOKSQFU38Nv8YHdeWblvqH8vPamxXmdrujA9MKfP/PrWff1rIgeZJ8Z0nYvpPGLGT9Rx487DW/rXO0c1CH0LojYUzSFK8KGjXYcD4z6GsdZuoh6raKc1iHOEsZYvI76gEesZqMM4ypR1Iz9XZGtjE1CCiLNHgRAnivlAn+ij+7gvFuzdGbcyijbQgrARY5pGMa878OGQgUaGJrUSmhAoYVzFEMVkwYjz3sM+xu+EUBZuiuWozxtCrkBSc/sZGwKjYlH7X2Mzyr3lj+ELL2rf6mxBzH6UTccTmyK7jnoDQGyyPhzUgcN8eyjN8PHPkWvagRhKtSWUaktsDkqtUJVxClqxsSP+wcCNwuIlN9+O9278DB2nncVkhgYRCVIepT8H+5MOGnyHjgKIY0RqpAdyM+8fbJiOg/hi95rOgco2BBqfp8IyKK1FfV1Dx2lTtdXIaoDjgkrN2CxwYDDyR0o1/E6kdHr7qHCNAwTShXKkQ5dUYopgNECNjeCdhkMFNNzx78NZ8jSkHY4W0jvprPS+24Ey1dxTfSDFIuKGtaPT4UpIMwVaWB5G0NSM/6ajOoFBBbRewtk7BEv7Oaz5zaz/JjgO1bdOwEKjDDpEEwMvJ8gIKpBK5mFC1UsYhFEffJ5tJX2s+48GxEEoGhRBcNmVDQGDLDpCs+Df9kjfN9KOSY6CLewHNI5RFEnpO4zxsxSEd8pb9ZrORKNcIv79lgcF0WVQ47G6KJ6NRU3Pwd9p+E+U1lZby+2KqFA4JSW6GFhq6oLXcy4EbaTpNKSzj84MLrJJD4ygAS00dLHeSvjTH+lMoMMzSBHVo+QG0Vt5vYg88zsUviBtkk4tOiiHIlA4xvvprA26TycRhVFILfb7neFEMoRN/Kmd/C3pokFGp0srwAEU5DhhfXh1Secvf8f2YAhi4DtJUMSZdjoE+c2G478E5XsMRzLWDTVDaQpU6B69OshpGGSkUM9isZeCczIS8B7mj44y0veD0jMHMQL2v/730ZeYZypCB9Hn2Q84nrDc6SA92FRRh81xpfAF5ZsHAnR0Mq9Jn3bOvnoYCt2TyeVVzz4y7WzvNGN8Qx2wPQcpsVo7sRZNtCWcbEsL+yOu+cKj2gbry9jPQVQiFsdhFdd2ca5pKYTkv/9agKOM4h+Lte79Chw0gxkd5x8u6uaH4itU5aUl4eyj449Waum36HCsNSESiLmaY+dIcsX3vte3SlAIHkvpvFdq4bAD6Upm1cFFR9pCWefeAspjBE44OmLboKAWxvR5QyFb1BiWYXZOx92BfPe3pLSTcs4xZNeEhhepIuQDy6iOAw4aD3O4xeEBav2YlkFy4pg+gz0411GkNm/Ld0Ou/OSYKmHuGtP0PryoSIMo0pIBFbxS1jqjQ5D0Xf6WVqWgyblaloZHBCCBxjKep2oz1IkjA705ET4R+iAMVXX6JsrcyGPvk/LvH3QC0q9BxfBaCH2l5g9Q4b7Me2eHFGOMRdExHDyiLfMd4Yx/eh0cYLTg2Ixj79qG005i/nVGMBlDNJDS7e3/wmmoOlPchYfuVNbGPp3K9qG+Y/X4HYh2V2fNmjVr1qxZs2bNmjVr1qxZs2bNmrVAW9MIxMjRpISTSWkOwnsMSnAbSDGieAYeAgJPkckSqQPBRQRQD4HDe04ALTRMpNqAvycXh9IGqjEECDTRSEHfNSiEdSANEXSzvgGBOTPhVekimo+IKdrKltWouVVpoWQ4PP8RQJOjgGQTPEBEFpFi8SLKUg+ADLpkn1WFb2Y01rEs70IhVfxRfKRokwJhnKgAdVzHqdPMbn96NxluBlKUqM0e0s9os0DQuj7Pioi4RFsCcRem4EiSdQlkGU5uYyOAWJO+z8CqEf/3CKHPPZqzA9oyodntFSB3NinCoIkTScL1HQS0ZeDc+qyeHLcG9XTOBXSeJzTGCRTh7LwGXN0DOZDuzDOW5kYgn0CbjkKsKcKiQ79tDqL+2FYPgT4K5GOQaFByhidQep8CPh7ilf2HVHf2eZrRDxlKgMdMODXMPay3S2eB0nNQ31/e2qOF1y117HgtHW5KPPIImizaAOk3HvLgaK2gvweKiaIatBrQYRQrIDKJiJ7RZNn3GaIBDWEW0HMplGGIK/SeX0GAd576T9d1kJ4AMsmgNlLEBfkmIoNmlCmMKDcDxQdEy37EJJgApdPLB39HqjQRWPvrivDamVI6FsVdFjs62R0DXfScjCIfppsF/T4o0kFoTgMFGnBu7FE9WR80E+Gl7x6JlH3vM99Eqi1hMg8SrFlG+xmJ6vuZ72FQzUl996tjUqvZZvnsPGDcY4g1Qqp0HVQIXrOdEPEac0mRJhUZAn9EVQIl4yH6nIDQAKwn9jEiP1kHRO7xO4frhf71bxbu1/eAVsoyYNqJDN6SUgoo01DtdOuedU1k67a0Ih1Zpuzbx4NanW8qjGYsAQpmwFhg7RQYqqKFdV4CKMLIkKICW2CpEMmUAmKxVtF+MDSs8x1RfMWKrh07GV33Em2YjHf7CtGFJfydiJ6BlPaloyXdxJ0zrFQPIwwC6M9EyBERS2ERWhDdnyhBhirw2AikKpMRMF3VcW4ING8iHYle3DhY7F8vB9CyNw7rM4dAJ3YDln1Eh3JeSUIUxLN0Uu+RJpwDdXwJYilJCOaQ/s1xi2Mn8z2AdxKxuOO8I/p+IK3ngWY1RMbiq9ciOyDKwmfHBnSsqoPGPlvUegoDhUZ6dAZls1xGGSQhOII9US6n9V0qQYgISLgkQwsg5FSC9492x/3QEOj70dVoNhGTvmsY9ovcd7tt//E6WdBvVWvcL2L/BSESA60HAnaoh8ZjCC9SqA0GJ2nWQEmGAqYUfjOEvXOzTNVdhACiwE3VH53Jfkb6caRHrzZoyGWs36fU0cRuGBnXNkCUZKxXdh3n+OXF1rQDsTNVFzctEp7FIM+1I+iXVBWujWNSgnMnvoTKRxm2hnq/ZQwX0t7h7DMUjlFrpOZmjyFOBmJQsFFG4Yg0Nvap1Y4CEdPBxfiJEdAMPao1HYykcDLtZvw0vRTQwl0qNFEFFs93oADs0qHKx/Gt5CzKEqq3Rv4G8fz86p5sKCYzGwxbhb5KZxudolRH7pAtBQcMnUT8bghSvx1Q3IWDY+/SUKNbAmV4iA5lf0dvZAWUv8EAODScjyHUmTG545nEfs0slXY7fI8Bm46tend8FAsTLBQrFZ20Ohz4oNYdn9DFYfuIblCidQ6koA0OIE4FB17StVk3WISEoHbltQ86z9xJnTTZrDppbACh/B5B7FSGHqCDn+2Hjj+2yXbAQUFtUu/T+cgwAN6kl1Z/gxTP9W/XbsAMwL4SgUPVieo3SYVOLKJ9wjnvvSfAb2PNxwZiDUnEHIMeXIZC7Aicgt5CmItaGheqVJktYwFNFVhSFemYqkITme+hg5JOuGrH3xFAZUhPAZgOAaqq0lFqxKdDT+Rvo46+mxRjOokyAfFdVuDwC1KQ3pAo9q9nQTv10tZ0/R1gaSjbbk6ognQS5RuHY6gKuubF2YP9azqmcoilSHpnBZQ4ppeO20rH39nmOZiC6K1BcTYNurYxCforSzP+3qYkygNhOvj8ckcXAnQaDoS13S673Mh1v5uF8yyIGs84hlS8plOPTrhIAAWW8SFJG+ZGmfXK9yxDNXk7nGleGTdcnY9ZLlTWNstX2y8dDkbcNiiVFkJQ7AwwlgGpp4aCe2h13xYRaXubNxQd28BEQg8HqshrK2DDz10LadN0olCJmjEQrZ1a4/qsuYS4YFgWJ4e0PWbhqFvcpyesQ9s0NAcdTMUS6clQyIWDkk7DHaPa346Vu47AyQFtj3Tw0Xm1d0EPgnIpHYfyULBn31tsQHU3re+fg0r6IJyMR+cK/evwkJYZFYDpCJxf0XXyk0aP9Z7VsY3jEPPRRAy/+45O9K8TULNugkZ+LmIQHippGkczOlenoc7McA6kRlIhewXOStZlKtZNw1gatFusH+i825Qtip+lIv4HnD9dUDoxy4COP9YZKeB03FJRm6rYhyu6CPZUr+nYpIOW6yPS4VsDAAKR/o1rlmkHzqWVuv/CvtbAfgdAkQb6RCIPRWQ4uxoAcCR7zqkm4+nBkecgrJxQ4ZnzEZ2icJ5FQQ9mntpohwm0k2YIcRUN2i7KRlMg2Vy3jKtVzTOdrEEOyQScjOwTQU5y4/vY90fSOEiE4zSGeIukTpMO7hKQ1dMNaIIW7mIvnIhj3cJYq3WoxrdX909LYbZmzZo1a9asWbNmzZo1a9asWbNmzdoTYmsagSgiXYQZPb1As8UXSU/U+4ZwAEU2oJDLOM31nmACkVzJw0TxgYKyCcgseJ3bQN8tb8MJ+BiCXyNbREZG6kQM4f4y6JWgSFLogLRW7yDYpLeqEf1Xm4TP3kdQRkQkDMo36avhABUlg1IagM4kIovCE/VRilmQJu7d0/dVJ1l28PAjPjeRXBSPIMCAjngitYjgakJ0Jb6AvLKIke8wUHpeoNQQaQl5qBEj8KkhAgI0beoQaMAb8VsiQolaBV2aCEAaQSSdEZwekaZONG7v+JjtbiDjH1i6jROXBigmfJpUFQdtz5lAWhgUF7/l6UkIys6EebtlwEnR/1vR1f3CBYWGiFsiP4luZpvpZPwp3aT7k8pPdWYBqtFQEEuyTfjT7b0xorIZZRRACzCFjdQ4zhAZGV/2P3MyQgzwwLH3Hjdy/KdaZ7p13JB03JC0gRojdZHoLw8pxVNxx/Hv1xRCmQgQKzDfjfkAaAamqwDEBecGoi+G4/5CEh5KiCgBUiIHgIwMEjYhopEWRDWtI+A2kYFBqMMlUDeprDwf0rIc6UmyZ/A+voMIOhpRXUyLoVQNZCTLgIiSdADKgnTwo6BCb0wW+9esb++adV1A3w+igvI+qdjzoBtvSChiaDsUnYj0K6Osx7EYC6L+0qqgCHj5JuIvSD2ZAjiDVJNGG5uGUjRpwMx3Gkg4irEwf1QvHgSycwPqww/hyPqg4IAhygIYRJDIyL0lRd1ckNM4L7+ojPevz08d7l/HUZfsQ6SAE+VK2jJFmjxF5pmGUj2JeqbVUI9sy2XRdwepUlNIimrWpHdbOzUWCrsSDrsG6ikCpJFT0nrPBFBW0xsUfcx15EBS2ztRh5m4vmdjDqFzOv7z487BLhqRYhj8/saUjmFUTCatdwXtl6FBiNQlGpwiZ4stnSemRov9a6IO9xxUlOCOTYoGfNaUxpP54dzmbloamEdi/vTLsUEdiyeH/dcElYa/6m8B9OeZsqIhs6iPUg1shayi+FJIzwM/3dy/Do9qv233WD5n5RHiAGPhrrwKkZjUbv/QHfcvouwK+s77F3T8+8nDG/vXl52tZdrEexZqWk/jQEdyvmXZeO2JbYnprUHNmnRuIsYrDxf619ntRf0tEIWROPfg6DdA8dbQJogGjgD95qCPxkjtpcBonwYM30sVbBDUY4QCHtwLk5qPtBsMxoBtQxKI4ijev4JwWRGEIhDQnzu9vZLL9SrHBArLzWt5deATIWLRUJMGYpEK6+F5HSOcAW37bezt0gMUw9OyTAJJWFrR+k4OdMu4mdJ7RHUuz0FZE/dToE1T1NSrD/dxIBDXtAPRdcLd/wbgOMHGvgmF2sxBUHjOArURhVWbhHOFSrReA0HjJ00P4ZAkXPV3LNDJacb/848bQIcn6YENbsSpNpz0d2IYcRKr4VX54HcaisqXKKmYg+isc9xRwGlBxWDG0KOCENIYA42aStSNEVAccnCa4bcOnDpemZEWSrpk5hAmFuzj6CAJ4beMh0inL9W9s/sxQU0hT4ix2MpxFGTacL/nVCL9NFqE0xvxMXN7QefZiAGOAqABTiI6sp24T7sWk9bbHELcJgw2jWkUIBxvTr7bPhh/gRMo43rMVXXjPZrTyXf2QR3snO2gJBd0gHMRkoBlasTlJK0+4w+dJ+U5MgPHiDdesN9y7sNgT8dm6ijaI4aWWhwORzjJkxoqSlY2YZIh/J4OyrR/nTEUFPdITrQXAxHrwRZU1mgO6NrGvMExxChr3A+I+cnxLVbslkGn7r/xt7bajtYKEgvHZRDUu5m69o+tGW1AHuV4CA4JUv+4UGVcMC7eqGTsRzEWEalAuZHxEGcami46pnLYwAcpxM443d+STjkEZ+Ms3r0hpY2ZFGbSPzdhg3cM8RNHQHulo24IHns6ksZx0kQKFtNOJ413n+/e1xjtX+dBNya1uRPgkKPzjM8vYYPJ79OByPTSUZaN+DtR6NQZ7VHG6YymQ+coynRzWqnHrYA4CIy7RUfsZKyo32/r9xlH0HQaajlVnCSe0fueE1dEHbB0shoxB6mSDKchYzMGUeDp3E0bjqmO7zOB9G6YoQAO54LndKCTns8WsaDhRpltg/1854A6Cw7WNE7Z+XAmkko/09b6ZpsMMqOfYz3hld94IsChgvK9t6ib/J053eT7xXgTeUTMSINqjvVJQNw4ayfPnHZEpB2ReA7xRxF/K4RNdRqOv/kS4lrmdRw/togNGGwXYhAWm9rGSH1NY745VCn0r7dku2PaHOZaGh3XhbjOb0MJnXtJeb5vWR1T2wZ0vDxS1bRPFnSuoQNqbETzyrbM9we15S257jxIiu8Q6NEPFaH6GxCSgWM3nX10nCZAyU3iYIMx+kj15D6A8R7TmzSvMTh9PMrvdE3rYwr0b4Y1uH9Ry/rcIXWsMgTHU0YP9a8PrSgdPptAzOgtOo/M1xE+CekdTemccd+cfvecEXVoLsHJmO/thRhrkXRnxl0sN7TNkhpb2In5FvvfNhxfDBdGdV3SekkRp3pxx6Cyiu/9DkJReTH94jk4oxB6wNASwP6WzjCqQzcB6hgcR2xjUJipwk6gCOMh0nHK0FmM8djoOV1DBnAIwCXEOnSNuIeYU1AudNzGDUV4tdqAv3+GFGJDrZoxf0FZT+fqq56JQAeBzt+xyaKmEe23UofKNhLj9b1OgDK0n9nZ1Jo1a9asWbNmzZo1a9asWbNmzZo1a4G2phGIobAjobAjLk6a3TxOVOpEI+J3Mf9TF4ohEIUU6iHL6DluQ7W2DVELopSI3Omj/0SkTW80XLj0EodAFSR6KHkEJzpjoCoD+UgzQA49j3sb1MoQyojoNBdysvE50JxAI41U0HwMBCDKANRNUp5ZBk4CkOlleN4nAJ/2yYeISKTqofj0z0RDVSdwH6gxIiYTCyjTUcC0UWcC2nttgkcIekmEo6Hijdekjuk/qju73woDuWigPYuaruKTcBJChW6g74jCNBCpAcrEPIHhSUgcKEh3zB9lGiKCs3fq4+Y1jTxhIwJgAxTdeMrS2gDa1RICpqdxGsI2gPsxwLCpZBVGP08CHl7fo6iX9rgPRRv1YdD3GQyYNq3prQGRmjrqr5gMMVejTbYLFHdhH0Idk74PlXkDKdkrGrZHQ2Ed5cg6NVCP7CsUFiIaGvmgUrQhHtw7CTWQr9Ye1eKRtsQiYQONl4HCsEFt7iEFDFovKoAIMgNdiHfsr2lFEt1Iy8cfW2iB/ZyoIop8mBTQbhtnEHFSeAaQZ9IQ56C2GhZ/pBERkEcgb749rigBoq2IOCNCLQ94fCRAFITUTc+IsmNZLCDtZyenNe04yyUShUg8inMQccbnTdEMjEVAIBaBZGQb85CoGSB05kEpJ+owSO2Z6DvSircmFU1G6jYtizojepLG8iBFmeYYE8Xq35nl9dhn6EabRT0xr8b3se4jVZltm8byI5rUQx6yrpNRzUfUUBjFeoNtCchIIl4nEcKA9GSWDQWVmEZDYCZEZCDmEkxIXqiCCSAQg/rEViC1aERhcbwgSpoIMT7TwiLbKjKfGmtXoxJ2o4ZAg8FgCkDfcL3INeUBIJY2j2ibYZ/g86QlpzGvlOqrRYAoSEb0G9GupBVzzlzBmHReXpFw7MMzFX1ncsgfaW0izPV6IaVjd7Gp18b43kNeXlBQFT2O1xWoQBPFSLTnCNhBHLeml3XtvH1Y850Bio7P0KanC/1rKtoO5XSMbABdt7TSHTe25fU7RGMfrCqKmqjDIGQmacg5IEiTAbRhIljTGHcXIeC4sVDsXxOdOQyUopeeMoRTiOpkevl9Mkk66B9EadLcNAVEdPwlgo1CJET0tbFvYl8ktdnFXr4w1kUJFhe0zaQG/GnLTdCs27hPxB3HhQbS6AClnMj7i2G1IYRpqBovQyQFAeK80FZJ7BtrGE/cBPwjqI822mYMVGUiLFk3ZahiR8YgKrqCNTlUx4nWzQBpWKuCdp4gCrNblqzrBNLFPklbBouD4ir96wChQT+zCERr1qxZs2bNmjVr1qxZs2bNmjVr1qwF2ppGILrtsLjtsISXIVdfwOl2EoiLDCFqfAm87UQJEqXYQ+AQ+WXoguM7POCMLkGKG85gAzlExCK93Rlc53HKC5SQC+GSEOXOgY6MAE3lCbOEAtzGiTnE9gP6rzkItBnjLgK9FFnBH4YRsJTiFQgWS1STEVgZsbUNcRPGCkDcxmbP+z6wD3UHQQc+a6CgUAXNvL/HvV3wRyMSYUWEJc0lgCKjZbmyHadNvVgDYZwQuUSBoncy/1GUNUVXhEI2CzhRQTkSpdiOIujtMtC6I5re1E/0hCm0k8pCRKt130kkYLmlpz/TRT2RnELMF1rEyLe+x6HgCZ5hvMUw0IWCckrnceoDGKgzyc5ICHD3/bESTsyySFeKMDsEQabgEJCRjWGMS4g1SHQqT+EZ9ISCNIlptA+i+6IBqMLeZwmMYts3YhoGxD10MaaFy5oPom+JcuVvwy32FSui8nhtJF6RRCL2iJhw2icZe81D9zFmURBaqIMTeKKLvNh3IiYysYYTcMYgI1KCqJ8lQF7H4hrHhgIlRId5MdEWW4w1pPkgOo7oJjO+IpFO+v2g8qIRJUVEIRFcFEYh2jGG9882u+MbkVwUTmFsxJyBdAz5XhMVx3pKcnKEqEQL9WqgSVP+aFKaX3xKCvYw9uQcRHhYN2xjLAOiDudbiropQIym0l6N3hQRmQaSh6IraSNuJYLZI27lYrubTqJHmU/2q6rrj2KkMU4k29Uo2vjhuqJcNyY1FifL48eLG/rXvzayr39tiKH4IGoZ64vfZ19lfMocUDqMS8p+u4hF0ubkIp7xR8JWjWDLMEyfRJwaiKt6t/wY65RpX8bv8gHxHvm+WgA6tYy2NAS0LhHLjENm7eRZPNeQSDokjRLaMlBHTYgDZIGcoeAJ15QbN+nYdnip0L82hI2iRB0jZhr607nDilz73vQ2ERE5D/em0oqafbiiQeIrLW2ztaRexwNErG7ff1b/+qod94mfEXU43dQxZwJB9kfjFd9rilQ9FOvG3x02+oCOv5vSxf71AhDmCcSnKyNO2hjET4ayOqYa8cwhJmLE2QP6bHyD5oP1MbusaeMqcWMPfUoxGsZFjhuoSrAcgDC9tzjp+80tWS2vCtpVwWBa6HiyCKGcqYym56GitgkPMSkicvGkxpU9XFkdr7MIdFq5ot/JD+j36Q+o1bWNDUMoiPEQg+LvkdnImILNOjaYZPUBgedUIKg2pfn24lPGgaCrAymXygC1D5ZcgzENEWvPQNBjjA5h38K8rlQRxw/5I3qZIppk23nCMPwm4+in0H5LS6Bx0beT8EetViqYJ9GYmdc2xVWQrjTFh0r6nlxO2wTz7aEdkwmwQiP+ZcE2QGuiTL3y6LSOPwbimnYgSissEg0b9L3otDZiZ7MWPCl5XPSE4Dhx4NSiqqnnmInO08GGxskNMxsH9i2NYVQK2cYB+2qKm9Bpl9mv/yjv0PtMO70CziAm0eVudXdY63AUdFLoUFSchQBEi6ILVL+Go4XOLheBXcMUV6GzAmXWzJP2jcGxCKcZlGM9peZGQd/H9NLCSAuFbxA/31C27aDTkX7docp1Te/XJwEvZr3iuwm0oebGnpIV+2sNDleULxWeDRXtmH8DMsUusDnF83QutwtIO+q+dSGVKfFOCJQ0lroTIIPsHp7VDVUqrR1hqQbVyxQ203BIGiEG2J+oCIYBuY5FKYP60px7dUHmTLJwUB69CccQMJpD/Ybp6PXvn6w/Oq/ZxhkeIAy1bIYTYH20EJaB/cCgEw9RFMj7kCaLTr1oGRML84eQCBzT2hn2bfy25t8n6KzMP9jNEwM8W3t0i4RciYRcaeAUogr6FBVfPbGCcIBoAJ1txjcwaVKhdxyUS268aXRo0IFIGhWdCTQ6SDxnCDf7FFcwFIXxu3CAShwDptP4HpoTQMCgQ4fGMqPzyqNXVqGYnIWzz1CQJu0U36+7FN5o+17Tscl30rk6gk0lKbZUt6bzjxR3p0flYvkm4LDbnPKnl5JuTEopVXx3JY+Jn3Hjy/eQ9k4H9BDyR7VjYxHf++1QVJ81ygv1yPtsJ2y/rDOGEmB90AnP5xvot88cfah/TcdiwhAIwdqilyc6IkoBDtdxbLKD3sffkgpIp34zoO2T1h/UP0i/5jM7s7O976C84HxdqGicGYpB0WnIPKVC/rTPIDp6JGC8sHbyLNxTYTachjgcTmLdVgHVk84E0jjpWMxCZbYEEYocHJElvLOINeg5QxrS4qLRrtOHjimKbcQj2q8XijqeUoX5KWOqYl7D/H3JRhXwYDu9v6wOrqlUsX9N518JznuuA3hIxzFtW49SzX59uFboX3OsoKIw1awpzkFHLMVjSIXm+Et6LsuMNghRl86AlsexeV2LeHXPueuBxbH+9VRW80F6cDvhL1ZCsZsfTm/qX1OhuwSxOKMtJTTfVeSbVGUaaclHZwsiIrJlQp3eFEghyIZtvNFE/4CTiCIYFBBxsGbP+ohtiJhKyaEAnwEBPaGUv6PM6390THUgmNoCKCaGd7DPcw/pPqx1HN+l9dHEvrse09/SqSYADBUX9B+xo3AynqXzs0c5dhhbDCAfigMx7XQs1pv+AjSGsjOcczWEIyNtmUJSqQFtS/UE1v5wHpOuXO855wcy6JMQpqEKPdsjqdgUmpHe/rrT8fef+Jk9jrNmzZo1a9asWbNmzZo1a9asWbNmzVqgrW0EYjMsEgkbVFr6RB149omcCS3Be0xBkXaA57VHM24CRZg8BjQSftYcA9WLTIssTmJAQzagwwxo2eDJKgLSb8MJddM/vURERWeBDugJlxA5KE1/pFEY1Goe7Bo0blok4AQDMGIXiKXEPE4WNhBlIb7PkEZNCqgHBCGiEOh/g2YZgzBNE6hyCllEV5B2nMKRgk42T7SKekL7CC8BgcOTGwpl9Gi4rEdSiYlgI5WWaNoIaPKdYT3R6Yzp6UMIlFwAEgzko0HFRpkRYk2BkjQD5g53T/aGcYLCwL1xBJattyEMg5NbUqKJF4jixLoN+HscQZg7OFGJ4sSTtGU5H6e1gO7zFCraa6tNjCf1bWi/bNcUB0KfILqPFPQWqOak7zOzDsaI5CEt68YY6KkDQJoRTQpxlX67QfaJhu6k+Q6kl+MPKPudAaCmSAWA+BBp0RRmWT67+1undvyw+DPdoqGORENhA+lHJCHvk/LrGU+KiUwoAWpNJFUsQITDECUgGogCSUA5GIhBA8XW9H1e06Un/aQ5euILIiLphN4nIsEv/yImso5GpF/J0d9SZIMIkWWg+KaB1NwE2qdHzyXaiwgzvo9ouhUgFokWTAJhRZRbxUesRcSkaD/UHO1fEzG4iGN61hPbkhe0nX8nCjYbBgoD5btvRWlcFCDYilP0fMQfHToQViQBac4TCUUhkKJNNBkprj+tbOxfn5Xuoorm2/o+IliJXFxGnwgS0hnH4oJ9iGVnitFgrRJAkw9jrGXdE23o9Tn2w+k6qI1AEu1fUer6jqxSx5kWjiEUhCCdeGPcH2VqUEPR3hi2gOVntKFePtifNyY1LRtTikINEn2KAelCVCzNEEBAOIMMFm9RvMc/sIG1E2FOJyzSCRsUOzJzeL9Y1XZCVBznDlL5clltS6xf0ozZNrYXtI1/9+Ht/esLN3URiAt1bTsLZR03tw7r74Yz2t+boHTNQHSFwi2kzpMyyzSOJXSNuh8KdbN1ZQIQnVkAim97VtFtD1e6v00CSUUE5rj/NGKs2YleKhnf1LLmWj4b0+eHkzrW/+zgVP/6ws1K6zXGE/w2CmbRXKUXigLfHMsokoyow1EgAfcs6XxENCQRiFM5HTuPVXRMXZzXsqbIRqPt7yoZRXqMEBGkPI8VRcRkX+VTmIOO6feJ2HSxNg8bwhYIP1Pw//7swyowE4L4YyQNdB0YXc0a9nYQIqlDoITtI+qDLE0AJUlBEM7ZcZQp6dTuFELFEP06pvUaR9sgNZ4ouhTCWdWGwPwgXblXfkSBuvCDcJzJpIGYxncMNCZQoKR0C6jgBuOSDKGCtskiKPAtlF8ype9kmr001PEsQ0G0MhHf37Ww/42nIc76iP8fj61pB2KkEZJwKCQdxAtk7DAXDsHsQQzgOwOopmROgoooE93O7iwjxssmVCpj+JUQi3DInzoVrfjHsOMk2oETx9jMw8nHjbqhrgunXXsCzqCe49RlzD2q9WKgie/VWYZqrvRA0XESIkw6zSbo7/ijKqxR1jDulzo5lOUyHRfd/3tx+HqJ6V8y9hzjShpifHC0NIZQHqTGU5GZDmNS0wE/J4W4A8XpSAlw9V5dNkex8WaMy4CeHMM7Yjp/SI0UVDp0OejU/NueC9owKcwePVlEJDmkC5ZaRSfvwaHuIM9BNcqFIowLEy4USVWmChgnTsYEIaS/FhA/gxMLaQIcNJsL2Oj3JlQqW0tAfNXoon9MzjZYn2wDbGMuK4RNH981BEbpZITTkL4TUoi9hsNnB/doApbOo1omksI2zvSyazX9/xABo6BtnGD00mAZzMdtsVBHYqGwQQmmci3jqXh0TTr4uMEnlZCqfscQM43ORG78OwEEhSAlU0NJGEdBRtqQJz+KdA4NiXQt0qyDjE4D0pnH4ABirMEi4hQOwDl2rFXoX9OxeGFG6WmHm7pAP9Kjh9H5QmfYtoTG8KtGdQ3BuqHTkONoHZtQOqASoJVRjZh1SeffOBRwaQUfyqhB6xWEUkBaGLfynAFVk6ZiqKlUDadAhPRZ0M3CdJyG8Lw/Df9gQ+vggswR/Lb7Tiphk15O1ewg2i3TzmfoQPRz9j0yvexPdCofY9gAtE86Sz3jBowxKdmWqZBNBWKOu3Qg/qIy3r+mKm04IKYOnYNGPEkjTqK/094z0qbpuA06eGBMuJrj32+YFt5nP+AhSjQgFpS1E2uOExJxQtIqBsTShNE5QaoynQYOaIN0bCRSdHD5x8qkMy+KvdJST1230tCxggqy8ys65tGR9fA+7UvZszD+wumUifnTCelMoOJ9HIu7Bw8qxT8BB8XWnPb5+5Y1DTtz3flmDvECN2Z03DhW07FnMKl9kgf6vD9X03RRaXi2jAMaOORIHd82qYcZ6SidkjoG1/DOQla/66nI+lFnRURiaCdMI20Izky+h9Rmtp8n71CqOdsJnZUsG5YHHaF0BHqHUaWirjcYvik/6T83EwDBMjViGqI8lspQ5Z5Ux1sCsRFJ8aWD0oEzP4bY/4kBxNxFepYXu+8ZKGg+WI4uyq4JP0EiiTme8f8ASOH6knEPG+iLHTjBGLOxAYdnBP6MFsAv4V6fp7OasRaZTyOmIpa9DThcCyM6FjB2IUN3sc5KS1oHDeyT2xjTxoZwaFlDX1lBDMTkav9SYj/GrmEtO6Yrgf0vZ3vPaek0j98taCnM1qxZs2bNmjVr1qxZs2bNmjVr1qxZC7Q1jUDsDHTETXUMsQ2HSCogAyvbAddJEn4L+ihop1Qy7iu70l0bgMox6NQUYkEamS4qNYuK9BkiDY4DdBaFXgIozC5QU0Qp9lWYA6nPQD5QWZYoMAQ1Hbxf37O805+WGUZ9dNKkX/v7rkkBpXgEvf+kJXuqwhSmSM6h3gfwOwpftFiBSDDVgInEG/VHfkZAOWbw0Q7aT3QRNOO0zwk42gmp662kf1uiiEo7i7YBxSwqBicgvNHC80QjOuwTHVAgEejWQBXiFMML8sqTowZOMeIxoDAQfJaKzCXRiiI9uLmgJyeFjfo8T/iITMyC6kiKRbkawNugiFAPsehC9Zzl7gYIizA8AdsMEaxUew4ZYEEidFkf7ER6GQFl3hMQEhFpDKN99m5T5CRAD8NENKJPsH9wvIoV/dW6mScDUewVTcCYY2211Zy4OE7MUMMluoeIKK/PxQKovETlkApJqrCBWAowkzpKEQqcLgNFR1omEYA0D5FE5Jn5O38lZyITB6G0G4SYTAZQHol+I21lMKqn90yPgQBEmndmZlf9/ewA0ZBAAQqgRutADjYMsQ1/mjVtC5SXD0CROUhIhvc9xNfBmiL7WL4GohF1aqLQcEKO8hiKaJky7TMtf2SpqQ4NcRPUx+bEIu6v/m4HSOg64kkQLTgCCD9RjxTJIaqSz7Af+KlZi4i0Qv5ouW0pReYEtQlPVXgg6o/OCKL7NpG/ILGdbRn9voFuRlkHqbm3UAdst0GowlhvEihBfIBoK6IqswEI1gdWtE2Suu0ASURRBxrVaqMhi0A8FZbNNiSSFonndRyYX9RFCZFG1bL25U2T2sdJRxWsZ4jQISqt3gJabkbHmclJpcynsF700FzjWZ13cqDac44tNrStP/Xc/fpNrDmjQKSNJDXfRCBmgFK6a1aFPS4aVUT1rs2K8KZRzIPrYW9cYls31OOT2h8YyoDEGKLviMIiWnACqEMi+qZXdC1PRe3ZmlaaEeIEvyWDyKNgFyFmQhQ833F4RsVufn3Hw/3rxYaO4/WOPyL17BEwBIgoBMp/OKXzIEV2SHcfiCHcEuq42WsTHlNLxGynDF1moFbRNpexf8mntU3OzUPBGmXXEs1HHfs2Uny5L2tWENolAEVXmcecCDZa/5sQBIkA2Uu0YA3IUyIHuYfjWrMKwRhSq6uz+p5OFow10LIjQBiSgeYhD0nbTuHdpWXNZxbISLY3ov9IbXbgQ2rh+y1SAdDP6hjrMkBzEgXJsZG0c4+pR2GV5g5Nb4bCRqhHIrzZt70QZc6JFFH59re/LS94wQtkampKQqGQ3HLLLcbfXdeVd7/73TI5OSmpVEouv/xy2bNnj/HM4uKiXH311ZLL5aRQKMjrXvc6qVQqYs2aNWvWrJ1Ms3OaNWvWrFlbT2bnNWvWrFmzdqLscSMQV1ZW5KKLLpLXvva18ru/+7ur/v7+979f/vqv/1o+9alPybZt2+Rd73qXXHHFFXLfffdJMtn1Gl999dVy7Ngx+drXviatVkte85rXyLXXXiuf+9znHldawvWwhCVsCKHk7tMsVbYDlQNkmRElEreJDjMQOItdr3InC8QN0EJE7jg8TAZy0ECQIWYaYzbSk00xDZqLWH9ELBG51hxDYEzGc/Pky1M4/ZlFAE5+J+aP/iM6a/FCxCLkd/j8IoK5ISaBU9HfhoHO6qSIyEK5woNviMf0Hm/lgC4k8pPVzpiGEEsxyxQCLYwRSGQi3h+tAZEA9GR9B2JHQISCaK704W6eapP+AimGMAWzzPiGQEPyPk+AGsP+308gjl8L6BKKsTBGDE8uEji9Wi51T2zSkLkvZBAvESfBIxBaYfBpIbIWMTsciKsQ1ciYlzy94rcoad9BfIk0gtI2cbopqd53GctxTk+UGGeQ7aRDMROioSl2Q5GTuH8dExlMAZZoCf0c7yEIyYir2kNHst3VwoxXqr/jeEU0oiCN8XkgUTB2GWJMDfZPvJOxHE9TO53mNJFubLOOG5KwcPzT+iMa0UMJER2xALgpT/cp6GDEK4XIUQUIMsY9W2orYsgUYPFHXhHxkASqiUgmD70UM1BwFOrwbzwTQL8RkdYmYgoDJmPSLXa0bIYiuhFecfTUmTHTChD/YPkRRechuIai+r6jLUVE8DuMg8fyyoS1TBlfkGIeERxdV/GeSACqikg7Xg/HNU+MQzneC+IfFEcxGhBvbq6uKAjGVGR6KWgSw9zBeITjMUWiEVHYwjK1hTmDqMI84ip6aFXGh2KMS656DcSdD4rxkcY4gkTu0cIG8uexUaNsE0NAv25MLq169nAd7Sqmz7Kv8n2sXyLxzDiNSKP4t7e9QLPyPRTHYZsIE87U/7u+exOEUzgWcfwhGtEYrzDWET3NMYfXjJ8YJLq0Hu10mtda7Yg47YgRAzsJVEx1Wtvp2FZFHXL+2vOgUrQ275rpX1PQZLGq4/hQWttmCCidsbS23+XIavTiVFrHoaNVRS4y/t48xFXOyiua96El7SdPHtOYuSUICGUxvo4CZb9zUN8zCzGWTZli/5qCQLOIccgYqF7bn0hqPjj2sA+sAMW4fVDfwRiMlFVifMh0nGwfHXOICGW/5XicRxxBIv2qEJXxynsZsRm3QQCHgl1E/00i34y7yrnp/3zv1/vXl19yb/+6gnmbNg7U8wyErDj3UrSGqMlUH4mqeTu6rO2qhX1/PsMYkBCOW9b+kcprWvKDEOFY0GdiEJlkvHjqLDAuH/fsDplWFJnMwq/Qq9cm0HHccxLZRqRhEjEQa1Utj/Kyf4y+wUEyF7DXntR8R+/RfNfOgeCjwR7ziasPH0Qz7j8vMF1EDhaGNV0sd0LymtAPINMtByRqpQxRPXwrMoi4vURVU7Clh0ZsAuE5kFuNDBUx++oytAf8UJUdx5+t4meP24F41VVXyVVXXeX7N9d15eabb5Z3vvOd8qIXvUhERD796U/L+Pi43HLLLfKKV7xC7r//frn11lvlhz/8oTz1qU8VEZGPfOQj8vznP18++MEPytTUlO+7/cxJOiIpx9h4U6XYAY3TUA8mRBOUQxeOyKE7dUAsb+39PQyBC2ye6SgQBB11samGEKUhOEIHFztdB6q73MBTGZgOrjAcJNzYR4oIbNpLJx2lRsxu5COMDsUAq3TW0HFqiDigp9GxyGyTwmw4vqhui/V5A3ml+msz3/stA+1CsTm+CKcshCDptGM+InAIiqGWi2cqECaAKi5/awxYGMioBF2d6qaBoh0U5DDliEldRxlRlAV1EC+ANpxCG4CDq7YJBUzGLISAmhhkh3fS+YeA5ZnuZoRqUKRU1Bv+1IFsAtLW4dUDmYhIEwrSNQy24bwOlCvLEHqBylezpIudEODkZdBPDAq615SgVNYKEEIKcWPPOiD1mJseCJQ046xYPE7xGMwDZB+Sgk5nIgVb+p9l30MVcLwM0SGI7zNMQBsiQMYBCdoSqf+xGWzye+Xhn+PTw06nOU2k61hLhF1jQ15qaRv3c+CR4stNV5BxMcbNdhHUTW7g70eQ9osLujEivZO2ABEROq+4YPEsKf6OmH1wWmxMFn2foYJzGhsKUm9JYZ6I6uaCzqOyAwW8AJGGeACl3HPe8DukHjsRf6EQ1gGdTrNN3aBMxv3TS6PDiO8fh6onqWqkmvup5RoOHWwwSYGnAvFcA05ZqBHTwUdnFMvaFE7RclqEw5rOLpYTacZJn7KhY6zsaDsJcuTNtrTcDfVktF+mN2w4dP2p7jQ6g9nG6PhmXfpZCt9n/+S7+X3WGR1p3Pgm0P/4HuaJ1PjjMfZLry/S+coxYQVOwxE4J+lMHIj5C+lQaIrOTzpO+d0gkZj1aKfTvFZfiUnYjRuqrnRUhPNwLIKqXIRy7cazZ/vXnOOoAEzFXjrBZFIvSc+dzKgzxqP8MgQA38Hfjeb81W835Yp4Xvv1IA5tUgEhO0iNzWIYYLgIjs0M8TENUSZvTOf4wIOHHA4b6IRjvimsNFfSvkR6Yzul5UG1bJ4dlEFBPX/Un4p93zxEaEDbLfeccKSUs/8ytAPp2sw3x4SRmL7npU//Yf+a8+FyXNsbVbQNCjjmVRrTwDax0BPfuWhMVain4SAmLZw+ADplRwf1m0NwvtK5moOzjfRnqvvS2c73h6IAoqxg3s4BSMQ9hA/LNQ7gRx3OQQf04WTOX9SmhnGBDtVQis/oOxlurXautgP6J9pQeY5mNG2ZVE+cBz6ANvazFO7MQdTHj14vIpIE/bmxrOsW+oXyUFtO4gC1FvN34tKYNubbu4rgHWw/jiEuivUG/Dlx7LU9dWancfxuwSdURGXfvn0yPT0tl19+ef9ePp+X3bt3yx133CEiInfccYcUCoX+hCQicvnll0s4HJY777zT972NRkNKpZLxnzVr1qxZs3Yi7UTNaSJ2XrNmzZo1ayff7F7NmjVr1qz9KvaEiqhMT3dPGMbHx4374+Pj/b9NT0/L2NiYmYhoVIaGhvrPPNJuuukmee9737v6Dwmn9x+FJECrJZUV9GOBh90QOgHst3iuvtOjSEeAIqJYCkVc6Ml3qvgOEXoQIhGgHmOgkhGISqEMIhYpgtHO0pON8phU77zbOz0KLcd9n42ktIwYmLOFEwTeJ52RKD6DYjuCkyl4vkndDqNcifgi0o7oRQAPpJPrPk/hBtKNm0SHAkHqpHFKvw8S70CKNjchjYs4/SDtfQQ/4DOkH1OEBsmJlbv5awHhFafgCU5/WNeugUb0p453AD2XiH89OXx/hCgzfT6NwK5EHS7s1xPNzFT3NLYBpOE80IgTkKQnBYKnJamctlOmPTqME2WccBHWTYg8T11cIo2BAopnICBRWB0qII5+QGyUA6h4+pC+r3KWP+LExVjQzjz2WQ37TRB9nfTnKARVKDjkiacQwcvfEXXM9hArQZRlBOgojFcEgpBh2hpBHRBEE3rE/9eYnag5TSR4XguHXAmH3L74gIhIDgWfA13TQ/IEUU3nA9RzSO0hGorIDqIjzs3P+D5PNBfRS0xjJEBswkNbGYg/pJFUyQXQeodB3STqkEgCopeIGlsBTTXJuQ8TK58nIiwMyg+FYTwknIF2iCpigOVCBEU44Puko4YD6Mkss2JLJ8TtKQ0Iz+9yXGS9siy9d9bQlii2Q3o50TWkzxFN1zIGGoS86CgiguXLa5ZHJ6CNEZl4rKkIHE8YxQmgfx9qFPrXDGcxDIQK6fNsS1x/EUXHdjjfQgiBAPEalhNpuBVZTduvBFD52a9IBWfZEYlbQrlT8IRtchTtln2VoQcaASjJIBq1hyxtOP7bDdIy28bYgm+ijApkhgQY2ydRmH4I6DPRTvZeLTSdlFAyKZ1hrO/BCmGonAwQhStNHasaLSCK0PbrYf/7NIpgUCjDMRC33feQfjqS1N/de1ARl0/aoiInRO4RtUaUOq8bQM3ON3Reo7HtCx4hiphzQAXvL/bo0htSxf69PaWR/nW04L9eJcKyAsYD0ZakrFJghuVES6MuieY8UNb9A6nTczXN7NxCF6XHPrvg6t+PRRXFd15B1yccL1PY0BHZz/ssRyJFFyD0tIhrMkB+Pj3Rv56EKCRRsdHe/o75oKjOdFXzQUQh6cM0tvEo1iTsH9xbUfzy4KyKUW0e03LnXimCUGOGwAv2716IKoq7OGg/UezJmI0m0kg6dQeoQwqXLC0B0QdkXKpAD4laAj4c+lNWVjSdXtkQRUkxpQR+t1jStVUU+zmGDGphrxubArUae1SiDusoA9LLw/CJGOImKzpeDfjkOxz3r6/FOW1XcTDzyPAzBE57/cYNaHd+tiZUmN/xjnfI9ddf3/93qVSSTZs2dRdzjkgYDiOHjsIyFjp0RoHaHEZDd+Eoc/KolGL3PQMPQ6XvKZgIQRVko0zMQrF0EHBSKriSjhr2dxTy2oifxrVQ1n+hSsdQuwcBdsHHd6Gc5DCOIcGp6DhhXEfh7GqMw/nIdNG/RYcOyj2MGG+kTsYYn3EclBuwado9GDLjEpKWSuomQlRJQ8d9qeHdhnMu4r/YbCMOJOnogQrc8FGR8lx4oPvM4kWIE5LzT0t0Bc5ippF1hvsd0ENcUlmj/nmCYKWEAInmIMwJLTkOdc7ewF4APL2IgZdOiQwGsvmqTg6c5AhDry7pe6gy1ka6OnRMk8pPeDi7FuMOoj0nD3T7RyPpryYWPYR4FVvwbow/pH8z1mgH8QjZNuicI/2ZY0TqKBoQIez+YVLF28cFMPXEwaEFn4lgLOD6lWXXGENYCDgfo8uIU5Zf3YaD2t2ZbEHzWjTUkVgoLA1QQOkc44LXcwbRUUF6KeOkGfFOAmiW/G0i6u8UMeKOge5PhwbVWc24h6sVbSMBtMKZhi74SY3lJorGcuF1EvFDiq6OJ4yTSPpsy/HvWHTSHmoovXoiXhQRkRKcOIz5Zyj3GrEhscagKmVAbD3GBeQGkxua43E4ks5MFWJvk2tQPhmyBPXE+FtnZZRaaNDu4bDKCg6IAqi8dAgegZMviPoapO7tOa/qwnyqY4xOtSC6OtMSFOuQfYIWlC6qYtMxGw6g33nlt4z4aTtR1kEOVyPuGA8H0N4eWNEFUBpzMm0ypnEKH2qoo8lQQg3ou+z/Xj5Ia2adMs9BBwUJbHqC4hsyf3SeGM4YayfUguY0Z7whkgoZ3gRuZNvYe5WbOOQBVdBYFyJWHuMe8hnSakdT2pYOFwv964vH1RFY7znN2H9IKz57ozqp6GxbhDO+DOcjHWZ09NCoXrwz6z+Okn7MOH7fntnRv2Y8Oy/G40DMPxYh53iqBRfi6px4qKRjFfsPnYbME59JYt1QQV3u66jzajDhD0xYrEDVuBfPje/ms3RO7qvou6fSOkcUm1o327MaY5IOQa4tfrE82r8mvZ3lfrim9UGnIanFbB+eszDoMInhnjrYG0xC5ZoxE2lLZS2v5jLWblOgw6Mf5NM45IEjPYq+GINjn4emUdz32lsNKsJ8RwT7qgj2aqU5LffsCOjMUf/9H52Jy1DxbsJpx8OHNhzc3FMmEJ/fe3+1grTjHfGspouOTfewlvXyFoQAwruTALlwv0ynIUN6tfH+Ql6/W8d4SIAMna6eJkB1Xss0P6rruSicqc157QeFjdpmjfF1uPvbTtU/LJGfPaEU5omJ7qJkZmbGuD8zM9P/28TEhMzOzhp/b7fbsri42H/mkZZIJCSXyxn/WbNmzZo1ayfSTtScJmLnNWvWrFmzdvLN7tWsWbNmzdqvYk8oAnHbtm0yMTEh3/jGN+Tiiy8Wke4J1J133ilvfOMbRUTksssuk2KxKHfffbdccsklIiLyzW9+UxzHkd27dz++DzbDIpGwobBKRBERWQJaYgieYUMghAg5KmD26K7lpwNuOgPobhYee3yyPgXVIkMgAX5bnFT4CNeJiEh8GVSOYXjn9+tvVy7BaRCgvmGgoKTnvQ6h1tuAs4cqoJ2A4htegsccSErZAK8+UWBUZCW1GO8kPdmAO+H55ihQMkDRrWxH2np5chmcGUguquXWJ3DKQURqkJJxhIgwpJ3INuRVgJ4MQWjFLSBwPhAUpW3dZwy6Kuk5+H4743+C2R7EqRZRmEyj4HTpiJYTAD4Gio+NuAol4xROWupzehrjtefWDpzEQG3r8FKhfz2E052RtJ78PTyrFAuessSm0fY2AzlHlBCUmhmMu437FFHqlClxrHmtb+uevESPgg52liJXmhQTQV0baGH2YaBABx6CiEpBH2kO4cdp//Zem0SYgyJQVoPoB8ifh3I1UH+OPwqDCFYw0KSTCEBME73c8Z8+GJ7A69prFYF40uc0EXElJM4jON9BNEaPgpUNEDMhrfYYAnfz1J2/rQHVVAhpX92cVLoLkWVEFcVwWk0EUpBohR8Vkug7PxVaEZG5pubDTwRExEQMECW1Kabw9SNQXCSCK458FDs6zlWB3NiZVArfcu8ZogipyFxGeZliG/6IBJYLg9wbv6VAALqnSWvzV9Q+Wiv0rymO4ZVlAvPFEuKFEAlChU9DfRdlUGwCAROAkDPRkP4oQeab9U2aMdGDQVTZ/rMoO6JD2Ur5Pgq65JEu1jdRuUQhUEjGUEJlevGMgS7ulU2l5Z/PHy5u6V8bIQawvg1CHW+ECjLRt0QIm1RoqmFiLg2gNhMd6dEFE2GtRwqnEI1IdBRDGCTQV5iPCmnOQJwGtbcghO6ZZid7XktmmhJJhwzkUFBYE4OejPFhAAIpR2cLvr8l9Y8qzEughj5pXMUsyI4ZjXTb20/nlarMfp0Cso7IvVxc+wyVhoksIy2air6k1weFAFgEh5lzdQzvv3BI8+TZsZqi1s7D+MA+yzF9Cag8jpGHjygasTCifXIY6/fDFf1WDvXENJbqEFYCApFluQGIPg9lSqThnoOKhHawF6U4yGxdkWpEVRrMDKx/OF8QyTkQ9V9TpSnchHWycT+Cdthbi3BtRRGVRhtoOjIG4Rsg1XQRIpBbR3X+nktrvtn2mCdDqBV7glwWoaLw29kFTSfRgMWeku8Q2gMpsy7DSmF/SyXnJKi3FFdyAxDjibzWR7MK9D1UmzmmEAHId3rrQdKd6zNAcqYQdg0inskd/syCKlCY7RQYDUBeUgXZoCfXMGc22Q7hh4BPi+G9vPdnhxGmpKj5KEDt2UGoluKi9vM06jTXy3c76r8u9bPH7UCsVCqyd+/e/r/37dsn99xzjwwNDcnmzZvlbW97m/z3//7fZefOnbJt2zZ517veJVNTU/LiF79YRETOPfdcufLKK+X1r3+9fPzjH5dWqyXXXXedvOIVr3jcapVu1BU36koE9DnGuaMqrgMKKNtnHHG/6ltA5TCcWt3f0ikTn4VDC5LbTglx8Oi0XIYK4rympbaN0ujMnF42hjEAgMJcPgeQYa5+6Xg6oo3Fm6sYhyQKui/p0RE4gNoxOmvIdcUlY/GBYeaSWt32dxrSaUeHX4wU6QmoW9MZ0XvccMLh73TIGcw0Oov5Okq/0+fBdyIfkRVsnqZIjfKPh0hHT5+hE8agDuX3MNpsZwSDJJysCSjets6CYlTbf/BsbMJABph0FI4pOmBbiOMZHkU7RF+IDHUHIUrepwegTFXBxgETIRcajAVBFb75zZhYELuUlHXJ+MPvO1GMC7jvhvwdax5lvT0BSiDbA9s72yxpy3ACUp25fDHKnQrdiJ/K9hZb0nfSeewYyuDIRmq18zGCvsrf0XkeQRurbsZ41fAfL9nnqQJtqE/TvLI+jWNPnU5zmkiX4tlxwyatllRE0pV7G6wCfj+PjQA3Y1QypbOPTiKqoJK6ScceF9xRTDx0rhiOGaSBeWIcNs8GMc7SccSNE+NBUiWYRicDqdWkDVNVuYx0MfZkIaJ5YvzEOujMXv4GIJ1Ox2Me76AzisZ3GzETAxxALNMgynOQbUqr84jOIM9pHeSMc7BAYdxF2iQci6NQCWW9HwIFbBMcWbSjUBWdSiz7PhNEcfeMDrAglWTS59nHJIDOvASKLSmzDSylGY+QTtxMwIY0ynhKSIMXV5EbSbYNOg0XmlofLC8622l0sLOcIuLvYKNzkG2P5Uenh+MTHoBxV/l3XvMZGsuRhxPTdW0DjF/GOg6iDq53O53mtVSiJZGEeZBEVdNU2p9Gn4LziLTlAlRN6ShgGKgC1peHSzqecE5cwfyR6YUVoMOKdEo6ehLYZNdxnw6zHNpypeV/CLJ/RZ1zVBTnIc+2jFJvSfF/yvBhfSccoZ7zPIvQBEfgTNye1veRHj1f1zHkaFGf37FZxxlSrklhTsO5yjmLYxcdjscq2m93DSrKlTEhPSo03zc8CjVixrVE+TLEAr//k6K22adNHepf/6KotOXZJRyywsnJEAqMZ1nnwRGcwWNQavbmWB4aMdbhhgH/+W0BIZ5Ydry/o6AORKo5s2/RGTxT0vy1QKsdH1TnGMs7hXjx5QPaJmKT3bIfG9B8Ngr+7iQ6vQZSOCxqaDkyBiNjOXIfm8AeMQIwh6HajP0JY/LTWVjs0eQZUz9cQD7LWjcx+EeSW/UdNbyboRgY97AGJepIAN3fCOOAw4cUxq5yUdOTKGDtX+3OiQwdtoLDakMpOuq/RvTeISLi9ABCQQ5cP3vcDsS77rpLfuM3fqP/by/exatf/Wr55Cc/KW9/+9tlZWVFrr32WikWi/KMZzxDbr31VkkmdVH12c9+Vq677jp57nOfK+FwWF7ykpfIX//1Xz/epFizZs2aNWu/ktk5zZo1a9asrSez85o1a9asWTtRFnLdIOLs6WulUkny+bxs/Yu/kHAyKTIFdUCglBjYP0jEwEDODQElBM93rAeRbUFkgNRVonUEnmyidVwgECmqQfRdYQLKjofU25/Zrz9YOQunqRBvYKBNw3Ca0PFgv0QgVfxFHCIjKFNQmwlBjj2gJ1b1EX8qZhgedgfqz0SwEYVFgQcjG6CDss48erCLv8dnNL2tAMUxg6+EpJPS6eYDkB1A5RHtyLwaSK2jgDiP4Z09xXAiZQ26KA8CQLMOAfUYXwQ1dsdqxe1HWpjIwf16WtGaxKkrINMu6p5oNap7x3v5bgDtOrpTT8ZmjxX612OTRf0dTkhISdk8rnTJ2bLC8uv79dTSGYa6G06XEqSP4ZSoNaeL4ijadhj9r7nQC6JN5B7o50Pf03pcfDr6OVXd0SdHvq/1NP90/3ZotH3SzomyZV2Spg60LtHDnup3fAl0Z4jzsI9FgJ70FM1FREI1wnXVSPePLVAwZjVtWUREBrvl5NTqcvDaP5fl5WUbFynAvHntj779EklkYwY6jOgEor881NiQoUxM5UE9caYoAZFlREQQrUfqL8U/loFYJDqLRlRcBYgsE8kY671PxyEKUBD1dH95sn99/oDStUinprIikRovH/pB/5rIyLl2DtdaTsyTn2q0iMhiJ7Pqme1xRVLw3bSH6qpqenHmgO+75/Fbor3mW5pGoj1pRIQdbGhgeUOcI0DMwmtXE0CwdQLo50StUvGWaqAbk8X+NU/dS6hvIuGMk3mgJtg+2FaZjzGiHXtpDhI/IUKQxjINokdXAwR8goyIvhmogBIlQ5omBWm8b7GvktrNOqCxToMEREw0q7aZc1OrqZAiIvsaitJhm2AZs2w4dnjowaAxh8aQCxQ5agcIG9GKEJsZSYD+jG/NQPzn8G6o6v0S1nZbcrt82c5pj2LenHbBF/5UIumE0dZKFazJqHAK6h9FHIjQIfKJIir1pval7SO6Bt2/oGPh8IDOg8NQDx5NdtvDHUe29u/lgJgiiocqu6TgjiT03aQnt/BMEWjhAlCzs6C1bkjrGEzk8t6y9sOtGV0nP1DSeaUQ76aZYVCIziUSbg79gQIlREzSxiBGw7mJYiUUiJqB8MXSCpgOWe17fOdMFc/Xuu+kKi7HBCIQD8yjfnP6PoOSDKo5kYleeYmIHCoX+tc7CorU5Di62NB8bMoU+9c/OLZZ0wBKtSeuMgpU4n1FjSGaCmhX/OYC0KHHFtU3sHFYEfzzFS27rVC2noey9bFpRZxyX8F9mRFiBGjAWl3bhMcYS4OGXK77h9mhWMngoJZLBeGxyKZiCCsiiok0biCEVnJU20ET4duyoGW3IK7S7O0LSa3mfpm+BIYrS+f0fdUy1lBAQ2eg5sxyXFpJ+T6zUNQ6I1U5k9a2WkW5J8Dgq9biq55lHbXhoxod0bY3O6PtJ4U8pXsIxE61IT956f84rnntCRVRsWbNmjVr1qxZs2bNmjVr1qxZs2bN2vqyJ1RE5WRbaKoqobRjeG6JlnPGEXOGATXbRCDiZHMJnPXR1fHZnEPq9SYCK1IAH78OdBqFQii6wDwEIX0Qs2xlM35LpCHFYJgneO2dJZy2e+govC4I8daBJz9SAdII369vxgk/UZjwvDMmQQix3wRoRyKijFiGVKQhMjC+Gp0VAmqsNYJ4iTyAx/uM2HMo61gZiL5cwKkEiiyW0zYWvV9PeppnI5YPE8E89U43DJGBCJFkejv3M23XlUu07TXy+u44EJBGOwRqzUG8CAciHETcGiIxQJwJ0KrhIxAR2t49VQpCbE5ugABDDYH10U6YRsYzcXBSSOGSSBynkjhdEiAQ2Q8Ebcw9COTGVj0R82IDGqAbnOIsnY+yINK5CqQEGnxph14nphHTEMJGFEiqMaxQQBiKMEVPVhA3JMtxoXu/ifqNlYhGBCqYsRED2njqGGK2Io1EPdKM/tyrVzdAxMXaastGGpKIOEbcOCKZGDOtL3wBlE1Y/OuF8dV4va+sAkZnZxlsHUgjNMjxmKIEiTraW1V0xJOyR3zTsA/PnJXuoa2wCmkBpURU3pa0okn4TQa5z0b8kVdEHS509MSXCAoislg2jJlIRAdRlZ7ABOMi8pppYT05AUguIw5eyB8dSoScgRrFNRFfhigIYmTSvOcZ46nBWI+MlceYpmiPEce/7QUJWdQC6pIxvZgPxr8bDEBhzjW7dbw9pQiSoBiI/H4FiEaiJKcg5rOImGFEBRPhyfpzQDch6pAxG1mW7HN+6MGguKC0B8sqNLAzq4hG1gHTmIVwCvucX5zPR/7WFLhBGyZqsod8Zt8Piu1JFLHRD3CfdcOxkKhDtnHG5bR2aqxa+//Z+9NYS9L0Pux8z37uvue9uVZlbV3V1dUL2STFJuWRNJzhYGSZxMzYI0ACaPiDBAsYm5ZhQTRIWhIk0eQHgZBsU0MZECzItuAPY8kzGHEAy9tIpJoUxa3ZS+1ZWbln3n0559yzzId74jy/6IzoLnKqq13seIBGR52MG/HGu0W8z/tfWqlRa6d5xPzVIFOv7Ora/uxYvbezE1BxSHsen8S43VqNPvD249AXvMY1/b48HGCsMUUPqmOWR2PF3z2/HO8j452jQMJ9z8Z7s+NfexLoNPUCRSNqXnHCHCwCUVMQQ0Td4lQjeBc9QbWN/x9vfGZ2/OpOmIGpb6i23/5ZjLcT6msNBKCafuNuzFsPDqKhNM0Qaaf24hHXvzRFKXp/60jzmld24rvFNn14FPdf4J47c4HIevMgvn9eWY/6OD6PfrWI7rKowwXm4B+8+vbsuEhH+Kv7MS9rIjPgvWDZ7ScPqUcRZ6IORe7afqegclfWox+IVntyEH3FHMriZrTx+hK6uVNk58P9KJfjWV5r7UncZ7eEGddk7TrYjf7Q2Yx6yllEsEYdsNbVQFa9QNGLo2nOp42+Y+6T+WtRp/2daAMNoLr8rTqpak/W6auipzVI6eA10UMz8XgS/aDTYZ4EETqesur6V3h/YnRaY515cApiEnMVEZ6ZZuKwUcwOKIqPdQJxMqmlyaSW+jjodLbocFSORg41DTFwUZKO2moKo506/e6wQCERUwdym6NHt0oSHnR4DSByybYSA49EMk/DDydtqbTtnRj0/YOLTjl3h0XaswwinXgZUWNomQlXIumMTanQ8yySTGxaXhNWnqPBhJOQCUQozFkJTKz44d3wd8rb3is2iRhskIhxjaRz9lqx4PPZVU0ooi41QDHZXZ9Suus88wAqeB0TnuPnqC8/vqlrP3YamIYM7W/Qn2vLGPiQPJ9AqUqYc2iu0r0aL6JsYu0g2vzw3fiQeu3VoOrlKCxnxTDwY15suaAbDo+gS9E2p5eYzDE0aq/H2B0U0fpTSt0r00TAYTEUv35Em5J4Hy7F9Zok6pQEMFHnuDlbkp4chybEJyROxyzQcx4U9PP6NBGooYtGLG6gOMYmdP0O1PgedTpxLiABYlI/l4DO6P5nH+tXzUcarfooter19KQvTbZYhDlLooxzbqhR1wfQ+qQ26vi434pzpFm+thgi7Sa7dA/ujZEtYJFyALXYhOZLC/GBniUITPyZGCtLvOWokHzsSK2URpVL6JQ8hzHAFdeEjsmVlUbU3223/i4AAQAASURBVIyKjXGK9Gsdmd8fxLyoccoS18uZeRBF9O+UUjolmWmiuczd1kSLyatW/eJ85+hOKhbH19Qi5+pMotekaBkNeRequYuxQxZv0pzLqK8mUbPnNulVdn/73hsnQQO8jFOqda0xjMkzzUq8r/1wu1Ps4liWfMxyj51JMW1bswf/7sZ8bNj5rC5q3zmL5Iqmdw+gz683SHKWmKUMTUQqZ8DnUjbmytrRsjdKXJKdC0yo3OsFHctEYZlJTBXfnmg0xqnRGOcMChokPDS/M0mV0fRSSmlMEuCd9yMZffUyjuIs4DehKpu831mAzgdlNku4PQf907h/whhnPJjE/sRKJOx9T31q9d7s+PEg7nmKiYt05tf3mYsuxbxh3/f6O/PxTCa+spC6L4X79cdRjzfW2Cg5i3fZCVTTSytxnwfHcc3ry/uz4/v8vkBCQ9NEk2O7JBA1cMjOeYC8yCWSdxtswrx1FPPZJrR0wySrNORL8/E+1MTp/lnMhRu8M6WmP+5HW0rj3uzG+Y+nrtAvrMSGljTyt9jANQ5w7pbWu70YbXDIOavdKPs7JM93VqL/3DuIZ+qzzlm9hOkLSf6j95F2eT763u7UiGRpgW8MKc4ki88vR7nmSDKOx8Vr9iG/m7dZ0VUYcM85ScP5NejMJO1OMSKZvZvEIWnE9FLcp6mJJv1n0C9ej5soNKFrfYxKnls5rTLqdu46mxftkUuscj0dvXOO1ySUBXYsdvpPPc83i4rCXEUVVVRRRRVVVFFFFVVUUUUVVVRRRRVVlMbHGhYyGdXSZFRL7UugDs0GAzmtkd0Vmdh+J7LwvStkx4HaZlnlxaXIth8jAJyjUIsiNJMrzE26b7fYXMHTNUuQXin1Nkf9BR3ZWRZ5dfGsveegvnCj9hOERq+SPX+I4PdNREIxYMglrUFJes3+jfjbBgY3OdQhx8NFEJygDkVTpWkxRXjlqNgg6DS7GayB6JFeTt+oQXOu0wYK+Y6o6/YKSAJQf2XkzfMpxbQBKjCVUdE5bgrfPsHkBHq5VJEjqR+ib0fF9W595Mou+5rdlWzXw/6+dCV2tO4cBUpA2kNtXnoIqEdvOQGtJ51agyJ+dyw21qLvWzbrdW4x2qw73R0TEt8CzTsEEVrDlGUCJXgovR00Yg6BKKKY8xs9zm8W7wLVGQeiIDV+mV0fCQXHZ3NPSQIblbmTtlm8Bc16O/72fKNYKiBHTc+Ofw+7Wt/pUUuTVE+THIJMtMEQBNAMscOLQUTPc/Ox6y16SVSOyEFRSmVxNI7rrDdBeXDfeg4xyQ5q7WmZgzIqryipm3OBbDuv6ULGLit/67OKKByUlLEM9SfK7BTEoLToDDW50jgt/HfrtIz+vQCNNI+Ww6RiVIyM1vxDGq4hUlOkmEia93oX6EiNtjTk8Vwppa8sBbpGpI/1W2bUY78W2bHWKkaRNEpQhSJq6wVzjXRn0ZM5WjH3XAYReh9UrmYtLSDbIt4e9Jf5Pa5jnfnc45K+ksUhCFMRjWX08qLnTylfd40SCvFSvdgUqV6CDCwLr3k8na/KKPWO1RXQQ5o1+bdnMCREHYrs2saMaVThJL7t0Xsyn+qn3dRYghLId6m0unOQPpriDfnWvnYp0HKaULz9MNBcV9f3Z8ct6ITzjKE282JmVPHJ1aDDOm+JEHzQC2TWdjfmBBHKmhyJAL+KuVRuHvA92Hz6Pfn151i2W/2QVsgotndOVwrPFanmsYitFuYj19ejrt+6F4jFDeji0nBPBxg5gJ6aa8UztS0PdN77uzF3rlC2LPIyDHHtG4tRxoGSFyVIx7I5UkRYkznvH//Wa7PjL3zyzdnx4SDmrusLUQaR2ctTkxbXjX3eQY9OYt66uRroV1GV0uqlmu8p8SRKew60ICZD/cfxzqyxzhO5pnFRYyOu83A3+nxGvc1RamlrUW5N1oo+x9pitO+77wXitsYcsQIz7QyZAxGZjfkYz3Md5hfK1kVqLFu7Hj6C/bAhPZt1aS/uOYI1KcOvaC2cUkp98k8iCh0fXlPat4jsM6jNIno70+MhEl4ah2rWIuvWeplfKJZB+aDxsU4gpkfdlLrd1H1hf/aTFTiSNtco/gA6f1mqQ4SDIWvYHJSUBI0NaEyO0EGCLtqQCknyQ0hv45hkAlTE5gGaOiZ6hNSi6zhak597cU5jBdoXVNv+NpRW4b2sW5r3ozPPx7ohHbxKckW69knJxxvJK5MYJisOXoFqCp8/l8ybUo51Jra+WtBqx0cxkbqOnZBfMxFiUnY0L3+WSVtNB55bZ2Ch4mN05jKq+Zi2kwrquTX0Bc9JGprwFI7s5HH2aDWKvsWDk7DKOfpCh0/0bbXtpJasTbUx+kOo8bxAfCHd3o0PnZ3V+MjPTfZ8aDjZNqH7j+jjPreJQl9QD5/Ey6/2ONqjuRLnZNBydTTUDDlER6LHeM5R/52oqesadW0Cb7TOM+lAbsKTfpDTFzRBaG512pa2qf/e3+QaSgPQl0wOnjT4SDARWjJW1NOsZ67tJY6oVTwdJ6NOGo5auaTIUc7JWNmCi4Yt0/DzdxcFd/uxuDDJYbzbi8XYy3Mx2begVJpMPC9Jikj3fQwdKdMOHEuPnJgoLX6v3oEye3VuP8rFs1pHJv5M1Bk5t2USM/vQknN1XODGm3Pr5aXZa/BNQr10SrTvbD+TKCZIc0646iTSZ0xQ7rFBYwK2iBI8LqFt+3yWd74W75pTXqaNEi1Ow4RcWTw+jwWWdF8XgbfRJsySbHvQoxdJxp+XuBdLD7SuXZCOShL1OXdoKIRbUN8Oc7R+kqgkxDp8mGRO1GX0fZMJOWrjqPiz3gSiru3Wje3aSryPCDcN6iW6nN0CF/Yyd2jrNzeHcM67J7GYlqLtOeq86eItTbRRbWR9W6K53E/1+VpuYdxXXhtAxvYGyV8SJMvLMbfZl2/vrc6ON1eiD6h1uEF/f9yLeeHKAt+gBePG8XYFd/ptHHXV23ROcNPCecuE+TNsjN1iw2ydpNqds3hX+058dVnH9EjsZVIQNxfj2vNszujw/FWp0tCgTVLl3JxX0Qzn+2/vrDg5pwuyicL3T+KZ1DJU2iqjsruW0R2624h6vDYfybtfeueV2fELm7GB+twKrtyHISWyDKXd9l7vRPv9sde+Mjs+JRmslqNJ4mbB/CPw4z6O2wMS449wTF7qRr2csA6yfpWx8PdMzy6llJ48jKRsY4X18Lk5DgFTeivEcW5NO02s6XQ8QDJq5RLjkLXiGe7F69eifqVQm3jzOZQ/GLH2aQHsOGKNJrhmayvG+Un/ojwN5L/OWX82SdKNHvDO3or2sL6co8oc5M/6UQcD8gHmSqQw95RuoA10ZB5Of1eibG6JbxiS5w8Oo79ZRtcEg+n6fTT85iCCWZk/8JlVVFFFFVVUUUUVVVRRRRVVVFFFFVVUUcV3XHy8EYiXeinN5zPm0hO7K5EdP9uH2iOVA8rj+V12ptcjC51lm8005wQ4RSDqNpjLkoMga7BT+y4ZZdBQkxIK43AnytV8CBQWhFwdRNvZcdxrMn3W4Wk0e03KJ3RfM+zSps9BTB0uC0ECmQQ6bLjENiMoLIEP58sIKF+HzgPaUgDT+TL3KmBIiswSqSZ6a+42WfuHOFZdK6Y2Wwd1dlETOxfnGHLYPxpHIBhEmWWUY/psYx7Xz5J+LUVc+u7qZuz6GEMcemH85fqntPA8Ki3OF82Z20me7lxcXYmdTakDUpjnWtHwj49it82xtcjO26Wl2Jk6wOxBwV7FYvv9YgTDErvXY2jL8+2nkXEnC479+H3AtWsHoEYes2MHMEk2mvIIoyb1a791yAu+yjlzQz07Lm4/Ebqze8p+5Ho58xWdyaFl+xwTxn+duWOCuVJiZ1NUbhUfLA7O51L7vJ02WzGey9BnGcpKhEORA2BKeXSTdNEjEBGXQVks1nBnzbkKx/1FyEnRlHorelLaaXZ+zhxEAyfC57gxFwikeg7FV2y6YtmNVUwifrUfCI7NVsw5eYOHp5GfKaW0fz6tA8ZYq4Sye+ssUJ2fEMJPXG4Xu8aWmU3sDotdlfOUcgzlqA/n3blpOzRLaOxPQPSJaBGlaDt5f1E30pNFF9p/pE43crS1YlSq/TmjaJ+XIFjtG44rn8NyPZ+5haeU7oJ03ADx5r2kSOoqbJvdh+a8g7mK4yMbfyKRy+raEOlX9nxlUgUidKX+H5SgNi+392fHOpPnUaNP06LHtKN0RuniosakE9rWOcM8UJ1751Fe58ajVEzxr+JbG632KDXawxz6Rbqha7gyJJXmA443r6Pj7I2V/fh9GL/LguluP43AfoQxxh7uwvXV6F++M5tF74KUpzM7hnP0fq4jgs05ZMj71ue421uN5wAxmJVB9PP+uehnzLD6cc86aMy8U3TxmFGO6J1HgZ7cAgUqRfwE9KCOyA8wp5nn23z/5KLMV1bjfajb8yqmLJqZaBpivYje9L2nucqDXsw/zi0amlj2R5jwiLbUMOZs2mZSxI+43tpC9A2lnFyD79+ONdQe1G5NVKTpW5YOqLSV+SjXHow8UYK6KY9hcdbIYYgGnt0HCa+jw2gnGUk6H1v2k9Pohy3WiLbBIoyygydR7zI3F6Fud7iO7LhZTgTj0PYNEJCs6V0HSVuWeuycpku47S1Lrg2d2t9ztGyORbwO3uO55y7O6W5B834Y32h9+tV8t/h7yjKOZ3mu4u+movhYJxAb7VFqtEc5+Kn0zjYJj5UtqCRPopKloDZ3osKHJJ5m9tpKl/Hvi/DnT5jgJpvFHaV9AE9+Hcc+6aiL0XGbj3C9wwV1tCTlMQ6HUJSlV3bvtJ46t3c1JoWJLkAkB8btkgTX4dM0rpTyrrhes71HYhGNtTrafeMOHbpdnBSVojy7D8m+9oPoD30SsSbGXHP1cT6WiplLrkAhnpwwqUKrrd9HI4uEzthkDBND6/2L86WLlsVYJ+Ul7ildnD52dM5qlvrq3saNXFY/fbt3ifqdN/nIi6AVfXsRikEWy9AiHzRi0tOlSmqCH4RFTmwppdQm+XrSCwrC6jwaqAvxIAenOP5Z70z4PV4s2Ut3uEfCQx1KXho5Z3TlTf0gVbeyhLaszmYucFtWJ7VG8jiVJR+n5dFRvLVfIrNgYtxE4WnxWHUTYNyGIk3bNJ6QoJjSNnStr+IbR7dxnjrfoLqKnEpNrCzpakxG24WLCaCya5ugOC2g7KaUT7ZJWc1rB8axi/ks8eU1XNys47KYc1KW7svCs6zsuh2PanG+CURpmVvNKI8UZsvgwi+jK41L1G5N+O6QoM3Ry0uSk3ndvBhXUr3nqVOTu8e8A3IahCRadA/OXILfPY3F4IsLkTwbN5C5oA2s63pJsi9Pyy52RC5LDubovupb1Z9+76QU7xKTkGX02txifhJtqgZiriw5ym7x2Nos0RT1+dQdzT0H03tRks+y29+foP83x3N7jYMxyUn6jH1Z52Wj8QH6pGPXds3Oz40f6tpzXTDa1lvozPlMjrnjEo1Qo/4BaPVVfPjRqE9Soz5JY74hG3xwmHBwI9okw4DNJaVtzgFwHB/G+UdzMYb3WZdtLcfY04U5c2fe7xcnzL52EHTfJgkaE1BSolfp774D3MD5f7316uz4//zCb86OnZcHJBBMwh2QFNzC9feLd59JKaX0x5/93bgn9GwT8K9u3o/7cE6P40tzce1jHLKd600avn873h8vPx8066+9tzM7XkCbf3mOZBt6bxk91rYzMfbmk9iMmwMI4Dm7/fhb2yzv+os2PuuQ/bP4W69/7ziSjGVAhiINy/1+8XOYzPRYObatZ2LT1Po4ZNyoEWjCqC1lVS1FE+8k8AZq90EPPucbPnMt1oV58BCnY0ArrlEHuCqPkIEzIddF0kyARZ/NAZOiPdZrk3nea8wFS4CzFqd9r5aTr1KWjEUR0miNZRJ85CakoJsINRFbp2+YC7L+jnE7nyf5eVaHzkxuJ/MwyCUHd4r7lfqjD/ZIkpt8nZZl8nt4RVYU5iqqqKKKKqqooooqqqiiiiqqqKKKKqqoojQ+1gjEWm2SarVJGpxBUQIdNiJ77u6AyESRSTp+7Z/FztRs01L6INdQ8FI0nVnnzq/E9Q5fAYHUfBpNklIe9psLf9bFQBOFbnEZ+lvTP9aR+gzkF6gq0WxpPbLXuduL7uNYhGDO/UeAgY62XtP/gFJdh848lk0zLaf0y8GN2IXIYUJAqkoFt+4m0Ho790G2rkJr1bVZVCo7JzpJ6XacNOeZHuqgKwIz1zcw1dGJd3IZumKJcUkT1OhgFXg2bTN3j/tqiBElSCNMgSRLr89fIHC/yg5juhGHijM/xglN1GEbR8t7jwKuv3AZujG7erpRPTqEbrYVosnG+3djV1QYvU6AWdtLnR/UYxerhuiuyFqMVVOPnank2HLggKbV/brRg6Kzwq4h7Td5yFynE7VIwmkR7FdeL0cxFiUJSnHUBXV8psVy4pyn+3JKKY0YB+07F/U76v3eXDy/k2Ox0U+dxjhHOTSKaIxrrWLkkGjEsutpZCFCRyMCQ6MDHeuENJdRLYt25kUuilISKZFHzc1zTozlh6A2RFgZoiF7GH5Io7YMqzgri2TcSwFhz8TyfWYRbwe1YiOWvHHKN/8UyznhKpHBfzRKqKm6QnalgDKJZKgMBeClLdtPRBGK/NI4oMzUxrbplpgrlfVV+5K0wAbb5hl65wpup42cI7T9ivkvZziE0yV1IP1a1F+H36Xeep1zXU5L2snxl9WxaM81Xc95fx6DhlymXkQ+SeHr14qp5u8PAtlv21gu+6FUZdvDZ80kDM5ziKxiuQHRjfbNnDFDzj29VXiOZbG9RXZV8dHFyVEn1UfdnJTMIcYp/q4hh66tPZBRl6GpHvZADm/zvoPuu9hB4oP5zXMyerBItTP+faUV1/acNtdr5wzOit9rmiz96Au/XXiOpki6KWuGcBm04/9y6/nZ8c3NC7MQXck1SitzVBch57EU6s25mH+ka4oUfeFmoBqtG40zZQ2JxnOtNJMO4zfbUVTV7nH0GfuGZXQOe7wbdbMxz5zKvKVJjHJLi6w9zCvY3vcPAuW1NKXV6iptvzrqgTAFNbeKM/lJv5gB0urQ3/gW00xEY8m9ExCZlL1J7kMasOher5Mh7RyT3Z3TwnO9z9F+9F+RbqLyXLtKsR3AwmuCamzux++tK0gkQIfP5X+mfcIch2y1zBQ0pZQeweDsuVY0UZE7jsO5bjFDQjq1/XMJerkmpK7zmqz/Js9Ovztpg9P70a8vvRQSObn5irY+ReIuM3oZ9T/4Wq1CIFZRRRVVVFFFFVVUUUUVVVRRRRVVVFFFFaXxsUYg9g+6qT7o5lB/CaTYaJfsKllXufo1tO0U462Rsc1swkdw3bXcHoD0ETk4Ep323ei0nRTvrhvde9E0g7Vi5EFpmBEXgpeVGQSd9znrYNoh+o00s7qHNbUIMQqpgcJqsEMy6glB5JpAE2st9A9ASrlpVi/QjRtjeiPq0mvn0uWKxrHD5rXRBM/tkEzQRqwVbwzlUYc2AmXLjG+W38SU4LPcR6QYuodDylID0dhGN6GD+HQfnY4J17Gf9Nfow7RBjXbVWGj8mF2z1Yvjrc1AqNw9jB24lzcezY43u7G7oyD0LsjEK5f2Z8c7oBcPEXP2+RZXY6epTIS4dsB4As2Z0O6rdy+uOdyhX6M5qKBwgzF/cp36Yt5I7Axlgrcp5RGkI9sDVIjIRHfzhiADJ42ynaKLv20d0r7PsmN3D02NzuTr/+zi2jT7CA1EtT1FLxoiGQdXLubU8Vkx0qiKp6NdH6ZOPa+nl0MsMS3sDi52xstQfBqYiO558yxQDc+BcBWdkdNtAhEm8imHBgLdpy6f5/gcashlcVaitXjIc5xTrg7H1sG4ZG90pQRRaOwOYxd3vRlYa3WTHmD2kJlsiCJcAYmnuYvHoiGX6vF98Pg8dum9jm1gW4oGFNX4zTQCUwrjFP92ox331HjH9hJtIaLQ30W6eM58CTrU9tsbB+LDMuTuJSoOhGpmXpAz56Huxjk9sqiLs5HnaBhTrNWrScLhKNpgBWMR27JbgnIVkeDvGarYenkbEx6Re2oqlulKiix1HIpefkJ5HYu2gahm62ZUgGY1RI+Khnz7OJ7pD2+8MTvWuMV73umvzo5FxWpC4dw1nlQ4iW93dOYHqTFfz+m6+X2micPWYvTlk0HxHL3YKp7b7HeaZ2mMMIcZhJpwt/dWU0p5owm/J53bnlnci/swb9wFLbjbB7WGZvgSJkci6985DY1FUeI+60tb8S2txu0zG6GRt9m9GM8PzmIsr3diThcBKcJLlNK1xdChtE6dQ6yPYxByi+3i+X1jG33ITrzvXAcsr0Y5Dx5fvIeX1jGJoD00g+iyvheRqv5fpnGZUkrd+ahTdSXVjRMhp3a7monqN4qC1MCjN+17GxidDpjzTw7i3bGALt9CG5Yjfcl1nmhI21LkYB+U2dxSlNdnHWAA2l4EZf8o+tDWVrTf6bRLOIbPWe801F3UOGkn3jUDxmT9QZTxiHWFZi3IV6fBI/Qkr8YzacYkO+aUNfDR9ByReK7vjUW0OjX3fPAEHUFQiu0l3ofU78k+eppc07A/n94GKU9OawiTbG5afo1y21tRXxokHYNyNc81nufbNKu734MG4sc6gVirTWHGPHCTZGL7CuLidJDmCdShLhDVQXF1ZJPBEYOsRefrSmcG5mqCZtQrTrCVNVZ/k4maZIIUWxfwurN2b+Hs/CIDcPq3Y5Kf50v8HcnE8xcQEX+Ek7NG1FA0c0h1rj8iCaa5ypiuZ4IkZ5aio9EWlGfzJgUDf6RzlP9u0pDEWF2zFBxspalqYpLLPdLGdZOGuNLq5uzfto4unvXgFemluFBjRnF+FVo2E1YikdVfwHFV9zqTqLSZdTeGpp5zyzaRhQvVcOHpD4mlAuexlFJ6Yy8WCJcXD5/6u6+PHMUkt6iLshye4YqGGcsh0P0lXu6dq/HiGpLkPz/SNnl6fRPd5n4R1HW8NaEel9nh1KjHEQLDNfpY90Gcc3aFDQokGiYFBkIppdS9i3HJdLg6h9jxTGbO3eUld0MXFdqd6nBM1Ny4YTyZuBxNKfa1YeXG/EGjURunRm2cW+SbCDQhp9FIFi6eXXh7jRcWYiGSM8Hgq9n777GYl6ZaFtKcTeRo2JAl+TQEuYQewL1BLMYGXG+7EwsBI5egKXGSyydxik1iNJJ4NIwPOevjWjcWkFlyaswXrolK79PX5ISk1vUWC8ASF+hNzF1cHJsA6n8A2rvz6HKO6vn07GW9lNGHvbZJJ++TT8KxscIE+85pvCeen4/+Ke3U5HE+Wfl0At3EkcnGvWFxclJ6ss+ko6915Fg51xxCSjkJAq8ppbxZQvXOwsSc9OgP4iZtfBAnWM1jbBuT0b0Sur20/VFBAt/y2pc+vXIn7pnbtGBBWrIJYZjQtexl51fx0UfNNcsdkwDMYRh4SGFu8/25B8V2C1rto7MY2zrhmvRZbcfvtw7DkXl7+aL/mLS8vBTvo6+8dXV2/PJrmEs5Tui/vZwpSavw2KT3TjeSdro5G88thkSP4+Mr+9uz42HBu8/NnFU2iB6SZNSx2ETh6RDZD5I+JhznSGpptOI7QMqxScMzEniup+ZWLtrJhJnXMAnn74aJykVo4a9civZ7czfkjdYw3tEo49Fj3OFJ1urofW1tf3Z8Z5qMTimlq9Pfb3GuSZwOVFsTj8cltGXXdrn2AFBwznpVEI/tcc46UpORfWjO5jakUWfmH9KAvf/Ju1Fftef2Z8fSrM3JjLbYEDjmW2WRhOegeF0maONwP8ZNvQVYh/roTg1YpM5bX0fN6L991l4a6cyRgD5vA5jAJGZ1O8bzaIlNb3JH0tddx6Y1wDq0U23u6cTsmWs1voMOaEfrff8g6qiLkc3i1IBmlIo3Z4qi2pqroooqqqiiiiqqqKKKKqqooooqqqiiiipK42ONQGw+aaZ6t5mG22SSyRhrU94jez5aBQFElvoUKLHIwBm8HoSZcF0z4A3EPXPUQ9CLmijUQBSOVlXLBOH0hAy3aLYFdsMfkjXfBq2nKO3i9HfpuCT1RSOOpc+usisOxbfzAPTmNejfggKhgIpekuZ4vgmkVnQmbaPZi+YqGVqsdhD128T0QYrmCAi5cOhxm8aGd97Zs540GSk8PVf2Ou3a2oW6AwV0hqqURUrfGF6P3Rcp8xPQBhMg24M7sft6fA10BkhGn7V5CnIOKLP123hE39uFDrkTNJO1uYsdzUvd+O0ru7Ejeoy1/Z0JBilA9KWSiCa5exw7WcLTB4y/48exoyKiz902IfqNVnE/WPviRTl3v5u+TJu6Y5YzPNlkfCBPILJV1GxNBE6H+eclzJ0egzoEUdI4pX/Ql/qXaLPji3MmtLXzQI1ynVy3YImgv/EPTQxmRlvFFGqAKGkyRQNPzj7Wr5qPNIaTRjqfNHLImQf95cJzM9SN5+5C/xSZdOdsdXb88mIInZchfd463Zodv7TwYHYsklGEo1RaEUs5hCNje1SAHhcpcQQy6gkUnu32YSoK68AdV1FgXRBnB6N5zoE+ArV5RUSWtExeRxnySqTlY5CL/i46VJSkiEJRWN1aMabZ+hWlKG3nwXn0GdvAvxXtnRl+iCTLKPIppXRwHu27uRxz/RMo3x1QLJZL+vMh/eR6N9Acry7ejXtxjkY5C/Sfe714l9ycD2ROVq+jEjSbqEMNYC41AsHm+8j+I7LuUOQetMQyhJ4UaetVwwSpyBky0Ht6DRF9ohRFC/vcohdzqFGuKVK0y3jyfCnoj4fFSCnbJmu/FmO7zLjJucXns//Yr449n3Yto9JX8e2J3kkn1ced3LfX0vOB4j7hG3EDmZt39wO1dfjO6ux467X3Z8eiC68uBOrn/mnMwctltFoMNDLDjwHIwZ25eNf0nlFqIO4pQq8M3ae5yk43run4VJ7B+WEFAxRpjs45r6zG+/lR7+K+ojQvzxXf89IcskPQr+8fRdlF5a2UoDpd6/pOubsf11xdiOsszSs7FPUnrTVjELmebIpEpk01w1nvFjMknAfWaKdP8v1+7wTzE2jnrv1FyG4sRf9xzsmMbFIK88f6ajHjynWN3xjHJzG3bazEfTSgmgcVd4rxxtZGtOvDtzHGuookC/f1Ok+g+7ZARA4KGJrSdDVfGV6P+/hN0mNd7NdfE5RkA5PLE+pApOZkgbWdqL9N5A+YU1pL8bdZP7S+crkdpOqUQHvy5WBINJ6hPThferLtVCTpkVJK/T65AeXIkFmYdIuNmWbfuDDmGkvms+LdvLWzPzt+dD/6wyl5nvUrF99iw/MPjkD8WK/qJld7aTKfUuNudLIRySh1NUZPoOGaIAF2O9ln5Yve24zOZxILp+MhncAE4oTBJdazccginPKqFdBgoT4XaOuU6mi5qRfYKU4ESBkYjwo6MX8mtdEko0nWOvDi3lU+2Egstvfqhec01ZPjXiZRm9aNyc8Sd9uMYmtiLKdd2CxOojhh2B8mUE37m9Qd10lSUNHW031ancTRnLxlnnuqrWlyZQw1uINT9fndmAwmq9Q7tI7JOskuJy/oya27fIjvAPvP6TpCHcfRuo1W2jo6GVIfsri+vB//Dr2gzNn1CBe3DhOmrq27g+LFSt1xueq4jcPOuyTYn4lz5t+M/rz/ytMLjTp1MaafwjzJUfNN2qklmXMc4/ekYzkbESa+7Vf+niUKU0ppxPjPKMTD+HZLSdq73zFSonkOk5/tXZIebDI4hpxzBtdwLJ/SxUven1UUxN75fOqct9IxDuDbnVgA6IybLfhdVJs0lH55Yy6SNYZJAxfznm9yzsSJCUQXPWvzMT/kXVOjnBl967QRg8nrXe4cFB5bFpOcJpHK3I6NQUmixyTGgdp2JBPzeosXndtnK6ORltEp90lmqnN3hefO6Uoyofz2cVDrruE8rH7i/X5MBtKSF2vIvEwXxdLnjpjoLkEdlwa8QdKrXqLJIs1vh2eql/QNw49mk59FScOU4h3jQtkwwWZ7vElfegEKtf3n9lkkNK7PRQKkUZKk8m/HJfRrHVLL/jYLk4DWV25zqyTJIL1czchWvbgNrBvnHMNz/Oawbe72VlNKefp+qyQ5WdYHdrm/8gEmmtWhfMxc9AqbJVV8e6K230q1fiu1r8Vc0WcBv7JUPAZWlKF5MZIypySdpJF+7kokFtUO1A34t+5dmR27sfy5526nlPL6f9KBbyzuz47/+fvPzo7/0LV3Z8fqHpqc8zomCpUDeeMkNBBNmCtTolTCMeN5Ds3E20erKaW8XJDJeOf0Hu86k3Nq6C2RqDuEnmyi9Qr32u3FOLwKrVd37cVmtM2DEbqr+1EeAUAR8cwHyBW5HtE1evc07qnOuvR2+4kbR2ojdpejDt5/GP1tEYrtPNdRq9FEaxbOlUdHUPnxHujw/NJtW2o/sj56+CTqcZ4EYgd3ZGmyvV6U8fAs2rWpZiFlUEs/SyZaXt8jxjHX7h+g14de4BhZqWXq9IikmjqFGYU6pZSOqQ/ryaS2x2fTJHXOKZq17QiPjLQcv3efjz6upmGD9erZARI9tHGOLj0sfsf5fIJ1FrYZ/+dPv/MXLiFrQsK3T/5ADcTl6/Ec1kG2+dsoWM+XRUVhrqKKKqqooooqqqiiiiqqqKKKKqqooooqSuNjjUCs1cepVh+n4SYIilZxBrq+hgnFPbLE25FtX3obygvIuf7UGEXqn06/ugtL/TWjXDuMqh5tAU/lmoqQNjDz2P9snL/wduwaDPrFiKHcfTHzmYEAcoYyGkCwWw49eoIhSI4GDCpQc5f+M9Q19xry3OmErge6rxUblGkk4Mwdds1YpmiuHBpLxJ90Zw1dKO/S1+L5Dl4G0cftJ1LHdX/U4KYEJTl/B6OKT9L22TOJHi1x3118N65x9HJce+Fr7O58P7u7R/F7A7OL88vsyrID5E6soZDwPIKrCwUuePdLXN9EZyhQnVGfU8oj9HbZqewiGDxWqF7BYFCb6RTKfEckpSK9OJRtsEs1fBomV9eNHBOV0RL9REQh9aXZjQg8+0kDBOl4nx3lR6D+FkA+LnM+aMc6ZjqDjYvr52jT9Cup+SexmZo3AZKyscE4t6+COs65pIvOzuaXEsOcKp6O5WYvdZqjrzOhAAUAAjCjaYqaE3km6kmkoSHFtsyxVNSaqCbvK2JRFGSZGUyGrDj7AO7Nhmg2kZmjEtOM3G7/GJQSjrMin14/DvmF7165VVh2ny/uU0xFKkPlaWohFVM0SY56nHM7jroRpeh9y9CO4xJqTYYEOwb9IspOuq8Ithwtm+tp7mKUGb3oAKyxSJkTda7OQCZmqFsREZb3CBfSzU68M0UdimxTPuDFhaCDeP/3e0Hjfm0xUFCtVnEb2K6ibq3LbFxIzbWf5qjrJWPFPuA9l6FNi8jMmQ8p74HBjHOBiNC7mB49MxdoseXWVHC/BIZehp627N1usRu49x/Vo8DSwjXhGafiMlTxLY61QUpz9TSPa+wRCLJGyfeB89MCSLjbj+PDZQE67Fv7gd6WBaOhyRIuyzd2Ap166+Dimi+uBXrWudg594XNOEfU4dX5uKeowy3kfd49DdMOpUQul5io5MY57xLRyO/3oj42pqYy1p0GQyLG/+eHL8yO50Gz/eC1d2bHj/oxt4k6HICkesI3uyYfohqPc+aIxYaPy5ugrabX78EkzJmXQrtVOkM34lXo12XO3Rq6iGy1/l7E/frBScwnogutvydD6bHT56E/eO211WJnYiVeRKyLnuxhJLOIw/L9BzEXz0Or7Zeg36QnO56MDmP37OTiW0CpmN0jDEz4fYCsU61k+tX8VsfkOe4pJVm6r67pD96PcdBY4F3CezjLs0i/9t8Xb+7PjvvUi/eUmdbkbzsliM0m/VYmaFPEKf15jJydEl1za/GsGWN1qSmLBKbHRswndx+uzo5XNuObuc3Ye3R8Mc5HJbmAoqgQiFVUUUUVVVRRRRVVVFFFFVVUUUUVVVRRRWl8rBGIk0ntwvbdHfVDdhDIajdAxYgATHDvD0Gf1cjCZui6Cbp9I/5OfbGJltsD0GnLIPpAws29j8D8FbL265QdLnvvEtcHVTQChaXW3xDNwll50D3r78S124/Y/QChl0BY1SnL5IhrqykYf5nTT8zx7d+Odjq7hhmEuoM8kxqLow1QfLO6pLzqFdo2GGyIINv/DFoIaBp6Tu6h1GVwQ4dzug/QKnkeUxt34TMEaUfUWnFO/+g5zplHz+Q1EXJRp5pwDNdAn6HlkXsmd7taQteKxZHbBVqGj05ip/L9/dXZ8ZWV2Al5tL+YikLtht3jYq3D46PYsZ6MCuox5dF95z2mN/Q3aytob4CmyDZLNWLR/IjNmjSqi/5jZxHkbgtjn/4m4xN0qruMraP4HQBMOme+mn8H8furXhNx4mnRyvqSuvc5cxWOx91iRItzrdqhybGlUPJ0fNbOq72qDxpzjX7qNsbp4SCQT/OT6LNqyN06u0AziArMo7SKzQdEOoleEnl1CbOSvQLdxZTyaCDRPZo6lO1nZggjUUSGO/Z9TEZEk6kn5fO91wuh6O0lkB0ap/DcHn96ORBkRhk6KivnPLpOou9sR8sri8E6UBfLEDG53Yq28blFKvi791XPTmRZ1ifsSz7nDv3Btj7O6WhhypJDv0X7bTYDDaN5jH8rKk8jmeOx6NsogyjWDGm33EQwnnNFHYoCLdPiW6WORJOKelzsRnlF6I1LjFyuoFUpssnj46nx36KIE8qY0/nkPmWIxZyOKXqB9jf7eJkWp9dpoa323Fygsh6fY6wzLY/jI6ffWICCTSmPYlHL1b5sXduWzkuir945C/RXFR9d7GwdpOZCL917hLkOZgnq2WlsMgeqS7TX9c1ARmugoSacxiU5lBnIoOWNGFvfdeli3neMqx3Y5Jv31ZV7s+N9zKWcO9eb8RzzddCT6Kg676/A2tkt0Ry1L4tIX+S+b9UvtBQX+Hfn0xbz6adWAwGpbqjIfk2sNjrxTCK59wcYLKrLdxrzgHPUI37XzGJ57ml0XQ59x78fnsU917ox9t87XJ0dq9/YZG2wi8HMKvPru0/iu+FT2/cLz9+ax0DsLOrM/nncD7RcxqI6A124uRD1uAiT6O3DmHNlMy6CxCtjNIioa4O+a4OQE8W3iI6gRieu03uD4q+3jDk1xGSkg/GHfg49NDHbjLec5t8Txv/1/dmxRpuHe1HX+6BAt6/E+c3FKMMqxjPWWdZv2pTx7G70x9UXA226zHv9/l58x22sRh94rPYkZi2X1mMM3bu/OjvWS6BBGdRGHFGvm1fi3StSO9PrFIUqY68NKreFSc0JhsKOvazda78HttiHnkAcjUbpL/2lv5T+/t//++n+/fvpypUr6d/8N//N9JM/+ZOpNsWvTiaT9B/9R/9R+jt/5++k/f399AM/8APpF37hF9KLL774e7rXeFhP6byeatIMF+O4/VZ0yvMXEOm1gjBAySX8+JCpZYksaMUO7hqD1aRajtooq/Z23LO3w0dznJJamKicz5OlYrLp3tMFGZohi3kNSjIHV3Mv0hY1aJB6LC1zAs0yLRXQcVOe9qnrmg7ZZ1dIDkINtc5ySUkTsDxT+/FFXZ4vlVB4dqnHleIkq8YXddp4hDNxjt6qqYW0ZeizpzdLDGbuxTn9zPTEhJ15aRKCExLgORQ415auPVp+OsGXUkp9RIodN5OhSTgTp3E3J9Mm9LDsxSm0/rwV5do/ixeIbmLGo8OYwJ3YfSnax5LJa41TioyCUkpzJHR7E+rV07NT6I9W9nCZJK4JsXrxODdp6O+aDA2gUA9xO9cYxvExwMnNDYTWcRxnRifS68eMq5Gu48oyMP+NFrmPiUi45jWmAjdFcmMlS46PP75OmB/lOy2llM7HzdQYN0sTBC6+s4W9NEQX4bq6mpCT1ncT6majxjuThIf0VRdV4xyJQUMFhMxH8eGXp+QOpteoFf6dYdJwXEKckNqtU7Ouyi7kDBMOLsbK6JomSLPkZr3mB2uEiQ3bwPo1uWISR9r0kHbfxcTE+pivR9nvQmtz8Sv17ckg5t3laTn9dxOxN0kQuW9m20g3tu6k3uUSt5M4dsFdlsw7LUgUppRPbmaRowbTXo9wZ821DfeRfmhSz+RrmaHJAWPxBMOCK5h/2PYmmE3atwpoySbbDukbuhpblsyRNaU8rdekh7Qr+951yms/dBzo2L3ZijIY2ThXKuFgEPc3IWhi02OTCM4/OnqbZHQe8fq263d6fKRrtUktjSe11MZwoMjVNaWUHp/EGJOCqgnH5aUYJ7r4Or9++XFIUewsRd9cwi12wPmZ+cYm78zf2L02O/7UWiQN7YMmDb9yuDM7/oH1t2bHbpTs9uM5TLRfbu/Pjk3OLbUwjGC8ORc612V/awL1jbMwaNH53g1G6caPeC84z/Z0bGc+kZJ87zjmswePcDVeibZ8bTPqUukj23gynesWuyRKSQia6DgucXLeWIk5zCSgVOUr8yRLmQuPh8XnfHk3+pXmMXm6PfJQ08RQh3WN89kxsk6X1qKfliXVTYa3MX1Zop7uk7DS/fqUtYpJQ5PqykNptLKEuUlGK5c2PXEjqB9/19nEfI514xnmKks7MeaOcF62HlfW4xzvJQ2Xz4l0RhmkE29N61gwy+qz+7NjKfC20wBZsNoijuL0a92s+yT2lAJzY8zkrkZogliUYhFwcj4tp/9uMtHQkEhnayUBpFB/0PjQYSE/+7M/m37hF34h/Sf/yX+SvvKVr6Sf/dmfTT/3cz+X/tbf+luzc37u534u/c2/+TfT3/7bfzt98YtfTAsLC+mHf/iHU6/X+wZXrqKKKqqoooqPNqp3WhVVVFFFFX+QonqvVVFFFVVU8fuNDx2B+Mu//MvpR37kR9If/+N/PKWU0rPPPpv+6//6v06/+qu/mlK62NH6+Z//+fSTP/mT6Ud+5EdSSin9vb/399L29nb6h//wH6Y/+Sf/5Ae+1+SsmSapmZJ0W2y3pefmqKMKnGM+MAZZJoqvfecie30OAmki5Bd0WA4eBjV14WvsnK9PCs8flaAvGk8iky6SaLBGGXiOCc9Roz5GjSkk3HO5v9dO0L9Fp5kZl8orCmsMFLc7z04MFu6io6wD611DkUk9jkVwztBWoKcah6B1oIL73KJQrTs28tL4BPMK0WEY4nhfTS0SRi7SQfvbcdzcn6Inu+ym7INQoU6Xvxr3PPo0u0iU0d0JabrNO6BYVqWFYzhi14Pi2mLHWDTgI6D721NIf5lA+RFUgz4o1M312G1rlOyynJ6CQtgrNvPJoQ7pkzXMUk6fjXEgKnf+NijerYt6bUIHHoJo1kjHvpmbT/ZBRtp/mWkH28xL0q8bxX3G62iu1H2IVAHM8AwV23nCOHwMYgrjlBGw5xESDXXqYIIkQA65S7nqJXTpxpTGPe4VI2I/DvFRvtNSukCanU8aOeSMKACRB5tT16kyEXqREsY10EXSS5cbZ0Wn52iOIv28/gOQVK8u3J0d3+8HbU2x8wwx5C6v9/H3xXoxSum+NG8E75VbKDOe6JQg/Vaog3PQVqKabINmiVlJ0X1ElYqyK0Ne2u5SU9/vrc6ONf8wpJ5JO5embntkbSkKTTSO7Sgqzz4g0tDnO+Y51qEWj9jDztHeuabX8V5noGGMoj58TJ81RCw1QFJad2egdETxlaFTc1ThVIzo/dpJoFiemw9kp2MxK0OvxHRGgwfD86Ui5mnZGvhAawNNZRv7TKIwRTOJvJTCn8kfrPAO9N8PciYudc4ppo5bXtvJsVKGGh2WjLPvxPgo32u7R/OpMermzAoGSMw0Yb0c9zqFxyJ3DM1VRIE9uxrvOBkz/RKUzv0pMnmJMbDR1ZAM9C/zyaAESe78IMJ9Zy6+e2UCOEeLHlSq4XcOrnCdGNtd6KMvLT5IKeXNwLrMFV89vjw7Fj35JpIFIg3f2g/av0i4awv7nB91oDniyvWYZ6w/5/HVNswmxu3+FDG42olr2I4HUGOPmTd2lqNemjl5iOg/693i74xPrIdJ1uMeSFjmy2tIotje+6CqN+dgI0yv/6QX89yT07i2KMImx8sgZUWW3dlbnR1vLR8XnqOsk4i60TksBmjALfpPD6SdZiGu0cbTsTuci/vkTGA5FikqEnCMvFi3Ffc/A/XYO4eJQF7h9GHUX/cGjBjOOTvGSPQe74xLFwZfDRh4Ih3PuOf7t6PvK//VA+UqLVwU6N7j+Da9cml/dnwMhXiO535yFM+kMcuTw/i9hdRX7/TiOjLzVtaiX5/T7sfHfLNjSLa+GOfPnrtkni2KDz2B+IUvfCH94i/+Ynr99dfTSy+9lH7rt34r/dN/+k/T3/gbfyOllNI777yT7t+/n37oh35o9jcrKyvp+77v+9Kv/MqvFL6U+v1+6vdZQBxeTBDzW6epMT9Kx4+igl3ATxZJgrnwHRQv2qUKmkycOf1Kb62ReDQXZjKDDso6Jw2h2+YSUGo5kszrPOG+JJvU3ztf5jmkP+qmPKW7mhDw+ZvHJsx4jF11AUmimJDjPrWcnkKcsvQ6g+4GkxHJEsvWIAEkmWdAAjZLlmT07JRS6sQ3bRouSUOO3ydN61oNxmLa8gLac/21koSKA4++VCMxY7I7S4J17zBJLhU7+h69xET+uDiRZhJnxMfZhKTh3Psspkk6DXFnnkebRnfkh0fQjJngso+s7bl4mb19ENS3NSapyQK6F0xwm0vQ15jAh5xzvo4OyB40ZPrwHO10youlgbblmPY4vcKLbno4pA2kG09weRxciUm4uQcNBukaacU6GZvw7OC23LtSPC5zIfuY9rNvZxqg59CQm6fU+zplkT1PQrB5bHIS+rP9Dfq8prSOmywBOy5xCf04xLfinZZS+Xtt93whtc9bOVqi4WI+o0D5m4mVk0l83EhjlSppcqVVoG2aUn5xc5dEkh/W6yQFTAap2WjyajzNqnfqxYsu34dyJdSeM6nmQsCEQ6tEl8/klRQwkzg5jbUG9NxRDL7smiYBc8kwE4wltHTvs5grS8xbLRcXJTqFJkIN671Mc/KbxTJ0X+vOMvrc1umVNn9b8txqHfocOdo7ZR82G4XnZIvTUU6TE93pEjdyz5EWru6Y5bXe3Tyz7zmGTXytt4oT8ibNsufIjQO+Ox3nJn2lTZvwtI48x/owAWz95fQ/S5ylPec21Pes3zwkWWK9+BzSwp1nlGIo00A0oerz2W/vjlcLy/6dGB/lWm1loZca85NcQrD1VsxJzU/HO8I4JZkxtxjXvbUbu6BrUDTvP4k+8+x2JOaX2yZjiunEGU31awdB9z3sq+3HO/AkFnReW7dlKfVvHm3Njq/Ox7OeMxe6QWNfdnxcx+XZJPldNpSy+apb4iB99zTuc9iM51tljjZ5ZpJDfUPfdydQgk26vvkkkpILHTaxOtH26ieqrX5/96KOW5vF86yJFemfDb61H45NpLEG4DnunkZbmsy0Xc/4JjiEciyd2O+PxwAssgSaep6jVv2pf0/p63QMoebmaPpnAGgWSKrhVt0toQ2vr0T/PACcoV58m/Wfa/ljKMedlYt6apVo+Ek731fTnmft4ihsnsDjh+/FOFcbsbYd74lDqN5zUKp9b/a3XXc+ra15xLykzuYBfgNLaEZK+VYCZJ86FTxVRi3W2bkPwGplK9pJyvE5Kbts02V9KcZbGf1aDcROuxhUkCXna7+HtdqHnkD8i3/xL6bDw8P08ssvp0ajkUajUfprf+2vpT/1p/5USiml+/cvhEm3t7dzf7e9vT37t6+Pn/mZn0l/+S//5Q+7qFVUUUUVVVTxDeNb8U5LqXqvVVFFFVVU8e2Jaq1WRRVVVFHF7zc+9ATif/Pf/Dfpv/wv/8v0X/1X/1V69dVX02/+5m+mH//xH09XrlxJP/ZjP/b7uuZP/MRPpD//5//87L8PDw/T9evX0/mwnsbDRs4MosauyKRRnEnNOY9qOMvGaucBwrGXLzK2uhSPW+w4H/H7GlAc3FlH8yIE64XnmzGWTjjGkGKwhkmM6CjNPMjgK5J5NjUi0QVWtNCoC7KubllKyo5LcjqhK3HNcyiw59eLKeC5a3Z9PnYN1orPmdE73cEQvCViCxOV5iF1AD26CSVYVNfpNai/A2/GvTCV6b4Tuwm9S5wDarTeu/jj/nXMaOyb/Jn/IVKs9QgK7ib1oggr/bYHhXqM6UqtxNnr9AA7YGmql2IH6P2jix3N51YC+iksX9en1fnYGcvtsOEGdXDCLg67O/09DGBWRLwCne8V071ylSlCVhrutF2Ha/RZjUjo7yIz89IG8XtOqoBogPSdD8ZEGrKbOBQ9bX8XkbnCGAJUk5VBBKTOyyOuLeq6AUrxfBX62n4xCtMuY590HmkdTI2bRCt/zOJb8U5Lqfy9tt46SZ1WK4fYudrZnx3nKJ3poq82SiilD/qxu16GvPK9c+sskEMvLTwoPF80UBlF+s3TmPReWQjB9BytdYrI8hqi1kQX3ec5vL+oLkN0xDxUIEPKqgiNAyjSogGtJ803MrTcnf7q7DeFrS/hmGxIKfW5LbuILOluzRKKdqOEsnX3NMr23Su3ZscPz6GA156mzGrcIgpVirHUXMNyid48wAl7uxl1o9mOaDYNgjLK/tdfP8femE72Ikk1d2mkYsTtWiPqul/idmxZRHb06auX2yBu6UtlFFvRpEUyNmVO0Y9zBjhxDRGTInb6Je0k6tE6LUOz2jb3B6txHUxwNIzJEM6OCeu0bPyvtqJOnceemXsyO7ZdRVLnkLu0cUVhjvgo12qtxig1m6McDbmPsaU9c20h2vSE70/RWaKE/P36VnyDijRchwari+4RaLJsvnx2Ka4xXoxrH2Js8t0b78+ONSQ6wXhDaQuRe479DQxSHmB4pLGIVGEd4e/1AkkofTY7R/mCfdCQ67g9i/jTUMbydpG5EKX4FcxELmMmIs34ufUYqw+gzGp6InqxT93cmLal77EH+/HMIvf8LD0d0AaURZpsHzTiQguZLerAutkb8AFNHIFQ1QH87sPV2fHWxsV8vHcS15DqKmrMdZNoNvu7lNXRpHgtat1oONLnXvM4Ox+AQByBJOxwjmywzpRKq2FND9PPlfkor2s4UYqadrhGVOqsiRTXk0cYgq2AFOVeDx/Ge0In6vXNp6nebejAPsdRDeqzxjfJ/ob5pbJZKWJJJCNr2lUMWAyNOTVjyc2ZGE8Np3Xpt8/BUdzHPjA/F/W4dz/qcZ+8UeYOPTrNZR6+YXzoCcT/4D/4D9Jf/It/cQZvf+2119KtW7fSz/zMz6Qf+7EfSzs7Fy5VDx48SJcvhxbDgwcP0mc/+9nCa3Y6ndTpPL1QOD9tp9GknRtQOalDGqS1xEAAAjwiKQA7JI07JJimiQW+49JgCy07klHSoxskxlqHJMNYnNdIPta2oU6ihTdcgLILtTrtFX8Mde/QrEHhnyVOdfTN0ZNZ+K+sQtcC/jp4TEKJRKGJSBMt57pck3CYvwX0msSiNFzpoCbzpCtnVO+5e0ySq3Fu2fdijirN9c43SEyR9Gjiis03a+pdInFLErUPTTRXXnQSR5nrtXqM6nmSC9Mh/BxKci4xI+2VelQHMtdmOueieXl2ir0u46m9gcvy+dMT2aN2NJj28OovGGpm6Jg1OIXSbf/RMXi+eNyeXi5OTOekAmibGjTcrK/k2v2MfmXCTudw+tLal+L3vU9R78xRraM4PgtmSxpulSSSOc7Rj5UjZVhmCVIpzGV2WbqtOz7V1mRtnCv7kI0Fy5LTAs1++z3oavyvLb4V77SUyt9rh8Nu6gxbOX2xMnpnUbRKNPnUHZOq6GJ7u1NMm84nY4rpqCYfFqF7mRA7ozNlzrlliRXpqlKl/WCS6lX23P5ugk1nTJNgJg27UKR9Pt2cM41Dkxl76K6VaTB6vr9LHZ2HrjlK8XG8QRuor1WWbLoyt5+KwqRPFrbHXAnd2TZtlLRZrt5J1nZyddosPP+AxHCewhz1UUd6JOfUPP1bte9MwBveU0fhHCW5JDnvwtYF6aiEzuzf+kyWvYhur1Or7asr9q2z+NB7gV0p/1bqb1k7eayrsnVjvdoPevVi5+ysn5+jv5Ub5yUbG7k+k6t3kgLMiwe85JZbxUnZeolW7HdifJRrteGokSajRk7jTZDCyWHxO219M/qgC+LNhZi3hiQQF00GkfDY6EQC4Ut78SxbaNVtTc9xfnqPDbUtrqHOqsfHuTkkynWL5Mqjs0i8/fDlL8+OdbNXm1YKs5sTzgX/8uDG7Hh3Oj7Vr72JTu6/2H92dryExMF6O+rCe947i6Sd2oivbsTGoO/h//FWOHR/15VItJpANFG3TUL39uHq7DgbqxtzT7+jUkppjuSWiSmThvaNNZLIezgyb3bj+j7Hkz46hcq/UJ5ht/i7ZLgdGyiZttwLGzFf3z2Kd7lJH12YTfxJf75xNZKyJj+l1UohPvy1WGR0PhflcmNFrXvpzIvUscm5xc2L66tXqBvxIbr3gi1GJttYW5qEM5TLUFfRBKwbec4p0qvtE1nS1fXnwSNowgA5jCd78S6dg+ZtfS0gs6C+sklD5yXlAerLXFMqO3NmG9BPVq9PDqKfquvou65LsvRkMe65CC37jCTuB40PfTvu9PQ01ev5yzYajTQeXzzYzZs3087OTvon/+SfzP798PAwffGLX0zf//3f/2EXp4oqqqiiiip+31G906qooooqqviDFNV7rYoqqqiiit9vfOgIxD/xJ/5E+mt/7a+lGzdupFdffTX9xm/8Rvobf+NvpH/r3/q3Ukop1Wq19OM//uPpr/7Vv5pefPHFdPPmzfRTP/VT6cqVK+lHf/RHf0/3qjdHqd4apbQb2WPNAvqiC0VlkpltHEM/Xi6mY2Vp1jPon7USxE0T5GAZldYQAeSOw0D3YKmjUnJBJopcG7wU2e4au74z51iQhg0QVsNLkZnWlchdgwHoxbm3i52lc8YiOszwGCc3QYuAnFu4Fe1x7Dn8bc4hdkplPb2uQG5xWWpSpTmnC8NM05W5+8V05uOXcPSFpp5rJx5bOrrl6U4NNHplw5C6y1NE43qLt3GG+ww7FbeBhF9nhx/EnQYaOm1PqHYFdY0hDlpr6xc7crfuBQpiQp9pzhVD2HugFDvskAgjrj2M56hfhuaXo3qDDOQy9pPBCohQnMUSO6oZGEb34v6zsaNUA2Gq4ZAU/5OrcemcoZLgUKjmE9F6SjHQJZr3ow6Gm/GArfsgPqBRZ/2mDer57CqGMpgTWS7R26OFYpMjjVMcE86Bdc2mlqcGE81idNjHIT7Kd1pKKV3pHKRup5lz7xWNIzLo8fnFrn4ZiknKU46KCYrInUqvrRGC6CXnYoXi3z8LwetPLgU64QE0WSk3GRVSV94H5ytP/XtKeUSEBgxlDrWi4qy7rWb87Qn0NdGA1tO7vRCBv9qJ3fucQHW6KOd5Cd1XtNedQdSR7TsuQXKOgVfrMu01R0hwWHbPsS53gfYXUUBzzsjMD147h6pkp32T+pWSvAVVWcfw9+kbosm2WwecD3qAstmufdCkmfnGDhQ+kXhlrsMazdi+Pp+GJ/ZD6bkPcczLjRtCyrHlkQaXIf28j21qG4geyvWfVNyvvM4e/WGuBJlo/ymTLRAtqyHE+vRby787LZEeyKOYe4XniIZugDiRSmp0QHk0P8ZmXh92fJTvtbPzVmoMWjnaoNS8edBLIoc6yNy4PtIpVRShhhxSf0X8ikR7diHQXNm7qQ/157cehuvx915+r/DZ7PdKOzinv7QUqGDnkLK5QhfmBX7vTURjM79rmFKw2FwBJfnyYuhXOm8eQ79+1A+04OuPAsG2hBzIK+shcSKjYWcl5l2fQ3dmnbDLzlluXdzLNrXPrM2BwpcGzRpDKqgotDIWg98Z2ywM9wairosR5q75RAxmpjKar8xRri6uuEZurJQgp0VYbmBEuatxyacwrAKlOOlQBxjcuLYyuouySqZrDCTSRBE6Vq2v2utRj71XWO94I6m3ICB3H0afPOG+mvN0Wa/2MJXpgZTMypybZ3BYto9pzjPAbXkA+2E8KDayGcGkW98ulrHRVCo9iuND1oIj1uZzGLNkKEzv01iK53A9t3sY/WFEeY+Rc5m1Zf2DvyM/9ATi3/pbfyv91E/9VPpzf+7PpYcPH6YrV66kP/tn/2z66Z/+6dk5f+Ev/IV0cnKS/syf+TNpf38//eAP/mD6pV/6pdTtfmNqVhVVVFFFFVV8lFG906qooooqqviDFNV7rYoqqqiiit9v1CaTSXFq+3/FcXh4mFZWVtIz//lPpfp8N6UH8TIbr0Y2X4Tc2WUQMOinqTXWufs0GimllAZTbTK11tr30Gzb4HrNYrROWagXuLHDjscuCJEHkZkebUUGugE6a7iOdh9lUEh0NEUjjg4QmUXbb7gT1372amhmKDS89zqiij4HGfnUFLaABtD7UWe9K+y6uENh/e3H+eN1rOUPaKeVi+tMyKrnNAXJ3ueQURhJrP5mXG//s6AL3RaxLdWhBOUmmrS+GTsBY3YW0lo8R+eNi37L5n46vcnuvnWqNmKH38vKBRqyjmmOxin2z/Fc8a5DZwuLeHc6QPFlAq05dCE6imM0R5cvBdrI3Rq1LpyQzt9H3+Fy7Dien4A8AsFa34vfbWOjsxJtkzNmya5jH+R4vF+sDZnmQQXejbY+X2KHTbSn7Qe6bwLKtDHHTjbjNdfGoF+dd9qPLurgfF2IIKhg+lVOc1PAJOK6Nc6f/xrmQJ9E/4W6aTGnnF++6Bvjs166/ef+Ujo4OEjLy7HrXkVE9l776S/+UOoutnK7+osl5iIZkqfM1EItNxELXiOHIMOkwnPKtA5z6LASwVnRS56TlXmpHs+mLqHPL4pRlKRIStFpJ8Pop59ZDOTI9VYgTg7HgVg6Hcf5Jxy3a8VoK8/JkFrHJdqUIg1FT2m6kkOzgfzS5ER0mPX+1kkgRF5bujM7fv00tLbUkFSz6xDx1Oz6ZW1quexX9p8bnahf9QoXOFb38P5wpfAc77WP6Yqont88uj47vjkf+lJPpuYiL8wHQkakj/1kvVmM3FNndClnpBN1885p1LtI3zIdSp/JeleH0jH6xtmFEdGLc4Fe6pVoRmZI5JTy401UpWEZNU66iUFJGarZ/lGGarT+MoRWTmOSb773e4HKfXkxkMuO/zKkscgy2/WN4zBxEg399mkgih9+/37hNT9oDCfn6X9K/6h6p32DyN5pN37xp1N9rpvWN+L9ImJJJOn2YsyFD08COSwr6t5uzBufvRpz3q3D6EuaZqgpqCnIZjfK88U7z6SUUnpmPZDmmob89oNAI/6Jm1+aHTs2RHSrn/teP9ZNjzA/UnPYv3WsiFB++zj67+dWb8+O36FfZ3PhE+7zqYXQIvzyaTzHrz+JOVQtwvvoFT63HHOC9fgvH16bHX/Xpbj+7+7uFJ7/wgqarcfRTjtzUQf/7O3nZsevXL1ASmp8dO8wxtnNtdCIVtPwAP09tfJE8TmHqWn44DTq7OXVeH+8cRhzvQYzjzj/MVp0IvCubu6nlFK6vw/aHgTi0SGmkSDMOu1iBOLRSTzfxjK6lejS92F3qR3YR1Ne9KB6gGXrsv4ZKL6pZmLvOM51XT5/A5YI12u8hcnHK8V6jwPWdpqlGF5zaQkkqghL1jzDB7ALti6u2eTZcowDtXpZW05ej7YePcPah/O7IADP34nz07U4f2kxnukIfwDrOofaNJ8RV0wLUzTw3h79Tq19dC2boC3nSkxtsn44Pu2l9/7MX/lA77UPHYH4kcbk4n8mDa1hDS7aW4hYHvHx/5hE4A3pmiS+pkk4DUTOb0QnaJJMsROc78YkrDmHIXTWjtIigTDY4kWL2cVoE3g21GIThIkEYnea6DnpmTQk8cgE0N9B5JtOVttBQN+knQkKzTl0K4Jy3VwgQUIS1wE70sjGgQzVPLtXTRdq85fLGH9Ada9TjyfX4rm7q4hvv0n7maAladjZAZbPZJpzv55zMo/Cnd24aJsOVFTrMee8jMPzGNHWZELwAIrtVcpFkqxN8ux8TPKMfjI5JEFLeeYQiO0zUZ+8vnpxz5vxAWJCt4loq9B9BXh15NLtK13DGZNxW5eG/JCF+3a0Xw2atRRtRXetj8HRxTMJg+8fk0xgDhny0nD8DztQrtegr5UYd49NcHdLEpeLxYnAOsZQlqGf0Qt4ttH7sQhvXcK84Xa85GrU3Wg3nqPDmDh9KYrS5p4DNgrOrzCPZuUVT1/FN4yTYTcNh60c5c8EokmoLLmRcxFmUW3yynNydFSs4U0I6AKtG7Dn5KmNcVxGUZTulSUIjpiHTCY+Hsb9TfTkHHJ1I2beMKEjzcjEn8kof3fh50KjLJF1Oq0Pn9+EVQdzCa8n7TWXaEI0u1mSuPFeLy5Egsk2voYTruebYNb8Y2OamH1CMsp+N07FY1i6trTlfKKZbxuSsm/jIqVpkP3T9rY837fy9uzY5O2Itp/9RnKpzBzEyDsWx7Vd5C80TYoWG4Q4PvJGL1DycwuZ+NvMZMj68hqGjsxLUH+tdxPHlsukoclSk/b+rklMz3rX+ZxxntWxiyITmFTv15nzFFPmLfshCVLdp2/MR18yKgrztyfqjUmqNydpdzf6aQdpG+mEGnDdG9sfou2uru/Pjk9xW35+NZJUJgWkyTomHvWiPNfXLq7p+2IHGuv+WvS13GYK/dr5RFmBS+24jvOl87I0Y+UcTCC+uBTADuVDTLzPrt0onjd873z3RiQhT7jPr3/t2XiOF3Bt5t10dSlkJjQcWe/G+SYi3Wgyaagxy/Jy1MGdo4sksbRmKe1Sku0bi1BaB8PiFMfGfLSNjtBLbYAfzmckDW1vy6b8hO/w3bOLdtJASNdfQUyjEjOR3cfRT5fX4p77uPv2StZHXr/JurfNe6eHieUclOpTaLtLtE2W8DepWBM0o1M0a8H6SxjilMi3zZGEU9qqhwNxk/X1gLWYIJfMVTillBZvxPg7Prp44ZiR0XxE4JDJzNW78fvpi8h7LLEBTj12no97uqatl7gjj6iP815xLiFXr9ncKPCD/nNpNcZYmYFQl/GUbeiMasWyZUXxoZuoVFFFFVVUUUUVVVRRRRVVVFFFFVVUUUUVf3DiY41AHB+3Uxq1U3sTaiN0SemawnhrIoa2QRpqwQ3KayYwCntXSKjZZeGhZ1CCO2TDz+/GzlF9tZhBLkqqXmJAIHrRGCUoyqIZsmMy1mbpB2S33U1RsNiM+dEhtuaboJrYETCz3wf5qDiqaDbjapi/pbs/SplBiA2nuxsj2l00ojDttA4akfOHWyDkqOsj2i9BL02LcX2h3z5fHVMLaeJ1UGGT6W7QYJM8Pn1WJKXiqScg6xIIz9F83HOBnZtz0KyiXHM01bhizvzDceMu8cR+fumi/JKMJrJ06TM5w4aV2I16cohIMf1wBXj64E6c0wTlVrsRyMeV+WjjR2/GgK2vg8ZjV3uOfjie7sCILjQc8wrtWkeDTWiGoE2Fy4/ZJao3ihERTcbNcDf6an2FHSv68CK7YOPl2lPXPt8ArcjvQxDFPpM6ys5FIqDPoUM0lhkrikxP7zWuf/Bdre/0WGj2Urc5yqEQjHoBhXAXtFCObshA7LOjLsXQHXWRCmsgufz9AQLrZ81icxPL4L1E2mVorrtQGD8xH0gKEU05JCXPpLi5Bi0tnKBEJ+yO4p1Vhjp8MIy61HTFyJk9TNFZ/dyzgdRndj1GQF9EmGXsFSBMU/o6GnkJTd2wzqSXvgs6cqMdc2eGCO1QF2VlMWxrn7XsfCnMn5i/z+9RpwfD+EbSUCV/nWLKcdE1rrUDkSZNvixEINqW9tUrIDxFnIpCypnz0Cc1UbHONIbJkHbnJbRl6cw350ReMeZpvxyKL9E3QAuWGTeVIR+lCr+4GEhY75vVpcgry1hmEJA3JSpGBok6zBllSAdFiqFeIRC/LTGZXPxPOZs+zb68WYx03lqI+alZIu6/3gGRNQh0jaixdw+Dpv/KWlBTn/Rijnhx5QLdd4r8xUPedfu9uLaowF3eQbIGlBVx3siPz6iP5xjDZdIHGq0cpiiPUh5Z2WQNHICe1yzF9+cz84FEfu2FQCaKOpTia1xdCLTVW7vx3a1px+lKHL9/HBR0qezOBVl739uPc1/difeFkXs3sh7XZES04OOTeO7lbvF7am8g4yD65FfuBEX78ma8m4778XxXlp82zRjC5PNbO8c2BEHXZY3V7D6NFEsppd6T6AMLl6K9RTJqxiLyUbSca3afdXSE7Bhr6fZ0LbT6y/He3fs+5nfWq7WScTuiPmQhzmPU47OePKbNkMIayJCERTmA3bWK/NVp42J8jFi/jEilLK3CXmGttP89IDmlCrMuPHgQ88XS1f3Z8ZNHUU9nMk+Q+pKtOTotRltaZxnV3LVlrQNCl3nGufO4D6uOsZ09R1m+qSg+1gnENKylNKzlYK4mSPpQeYXaSg8UNqrbzZjOdXp2UeHy6JvX4sPFQT+EipnQnuvgMqbn0jmw3MTAybkYAQFuQFXOUSF5jhqU0WWu+Wj/6cnf5EeCemzHMoEwKEmuOOkMpQpD+2ytF0/UDTqsE9/7/we4/05qnJPVTZ16GZNgOztBi482VefOYyHbqQd9gjq1bZx41SYc8+IakXAU8pvpCKpJJ6W1IR2eiUPtO9u6xotIHYv229EefRyZc466h0DqN4v74dFR9P/xHhPfVIfSPthdg0ZF/9kDcr+1HC+B1UU++AeMW6H+K9IxSfwz5tpAsluXSYD0iqc6P3CyF91QGDzOY2UfAD63baOGpffPjW2Tzp3iibsBFTqX5OO+OXe16fVN8JnUc0wYbagLA/ry6SF6VkgC9CdomzCGTM6PpjT18dnH14X5o47zcTM1xs20zgJAjT6TQRl1U1qfC45csnFcnIjok4gwETM0mQiF2AW8ixTLdYDGm7+bCLh1dqHbZBJA2rLPZKiNZrJrBZ2/sthuxgf/IxKFObptCeX5uISumf2tddSaxDzk4q1MY7IoKZxSSisk4W6jo/WExY0UVJNXLmBNBt3omExjc2JahvfQxLsxV0wFLUvESEGvmwyDFvNmPxZgJs+k8Jk0lH5sYsoy5JxQa0/PNV6jjDZtvx5CtzOpltNSI8Fvwsp6t7zzJZso+fH6dDLNsdQpGRNl+qZlCeB7g1iU2x9y9DzGdlm9v7Yc+nNSFB0rWaK8LAno86vZKO3TMeEzWV5dmx3DZcnPKj66GJ010yQ1lSdP80vFAIgnZzG3nfAt6DrPyNx6U8rrGx6ex1xYK6EzX56Pd8+VzsWcc9wsTiC+TOLR3+2Dyhr89mFoBF5C61DXXxOCOYmD3LuhRLuvFePji/s3Z8eZe7Dnvoleq/dvIgFy6zTeL+reS8cVLLOBdqDv3qsrMXc3V4s3CqxLKcxf240Nia2pJuPlRaigrKvalH0D2vRbPEcPLcCVbpTx0Tvxjlv4RCQlTRI7n+mqvLCA7BFrgvX5KENv+PT3vgnBScl6Vvquyb6y6G6gbTzH/P5maGJ2n4n2yG0WC7pRaow2Xt6Jfnt0EHUzmMJFmn+Ebx7KpUah8lHnx7xHAB1M+L2xFmXZ2wVs1S3O87jOySkl9X2fx/HCwkU9HR7FGHatZkLwBAkrJ6+cZiPtZBlzDt3Hcc4ZSdmcHj7Xd/2cA6XF2al/cPGOnVst/u59eBT5nkfHcex6XNfxLMcwGnzwtVpFYa6iiiqqqKKKKqqooooqqqiiiiqqqKKKKkrjY41ArA9rqX5ey8FcRRFqYjCSkowpgAKjQxE7uJNmCKN6CTLL7L07HjqsiiATSTXqf3NEnzRVY8AziVxbIiMtFbkzzWT35CfmLhjX2GMX8LSEYmzWvn8IHQyTht79uE77EiYU7HLkkVJx2IBeLXpQx9kMNdnFrensHHreYQnaSrck6rH5Big7ds/am4i5guAalKC5PEeEoZ7nk+muiDDpidB2EIhn7IQ0VmPnRoHVHud02CXrrUBBBaU4AnE6ngPtyXgaUO+Wc9RGCHZ6LxF67hbnd+aK6WPSaneA/7/1tXCMq2EkI/JzGdry4dnTVLaUUmoj2O2OziEOaJnbcWsjrpczSylxyToH3ZxzznbHih2wGgYlLSjEQ/qMQ1TEtIhhd7tGyCKMp07fUiNyZi3v40j2XCCinKOaOEvrIj5kTNof3F2eAL/PgCbuQlbxjWMwbqbauJlDJIxySslRlxl9tswxNWdKwNwihXH/PHbj56AZ6vorwkmDElFNmj2Uoa1EBmX0WZES8yCsRIpJdRWdIaJPVJW/G2P2TKXKiRLslBhf5GmXjMnpM+0NpbIV04frJVTlQ6jNXz0M9+T/43a4fUp5XgRtIOLtdi/acgcEl+Zkojbv9aLOsvjkUqiFi7IrM9UQizjK1S9UK9DK9mVROn9k7WtxX+rvkahUyi4qd70RSIi3ehcoFqnHe5i7PDcXRgSOjwNQc6JiPUfUTxlde5d+cLm9PzvWKVlqcxlaLuvPoiGlTTvObRuvLXU7q5eU8ojJXJ8scUHXMdx+ZT/X1OFqZ/+pcoqk1Hn51YXob9ZjmRP2aYp2t7+JftWYqVHRlr/tUe+MUr0zShNMCY4fR38ZrbGGm4MtAc3Sb8RV0GRv78ec98mNQLa9tR9INE0zlA94YxDvmIz6+2y32Ik893dQ96/NxZi8z3z66eVwJhYB6PV9Z600Ykx+6Si+e7975dbsOGfsgWu9TuNZf9dwatH3Osdf2Y93zY3F/dnxTZyXH2M0s7oU52hec3AeY/vBccxzogf9Zm4xJsciCWmnjAXnt+ViUxQzxhugKnsr8f2pi7eIwlVQea5JFjtxfd2cF0DLyVLrNzGsY81jfmD3zkUbr1455N+Z8/fiesvX92fH+4eMD/IEHWiqsp9yrubrSB3x+/D9eDfVWXuMWQsqt2aY55jsXpS5izmJCEXZlzlZrnm+TVkTuKY/Id9QFxlYxsgzPcJ3jtJ2hwVux03kxIa9p5F4KaWcQWcXqSyZo8cwtOpNGLCiUDXIlGmGYWl7i7wU/eeE/qbkVm96KyW5rItJgZRUSikNKHuOdTtd647PivNNRVGt6qqooooqqqiiiiqqqKKKKqqooooqqqiiitL4WCMQx+uDlObqqfd+7DJMTMbCL68NQAyZgS0x36j3n0bpjfbRllnCglzhTm3YgRH1jkGkke2vmTFXa0LdQ8qlOcX4CPQbv/fnESruagZzsbNgBtpdnCZ6hT14/adPYiekuaSxCDse7NCIWuvugD57oHlMnN9+C20pJAfON9ATQI9wokX9dFdE9NtETbqWiC12MNSkIwvv/SeLcb5oz3SibiVakY/QdxjS3zD80NI+Q2qN2J1wB6G1CKoSDYU6gtN19Aw0ATImGGioDynItSHijDJqaa+xx4R+0J7u6LRbxTuJp+fRT9VN6Y3imR6dxRh2J80dK3UvFMBV00Htx+21QJEocOz5y8vR5/enbZxDZoJAHPC7fcY6EmE6ZLddRN+QfpVE5lm/9knml8kauiEi/UA1Nx9cPOvoKv2Kna7hCvc/LUaEOi/V6MsibmsiZwXiOr8tX5SrNq40ED9oPB4spvagnTMdEAnhTnqGtBOZpemCaKhuCSpOtJU6ZeqYiVJSN64MrSeaQnSf18kQEmV6aJqylIUoMFGHZRp9T4bFJiqiAUVuaMRRpuGWPbe6iKK3REx6Tk63krnzc2uBXPE+Cu6LvLItRX6Vxbu90Ee63AaJMe03ZRqaOQMP6svn8FmN9cYxx/EOEHWY06HkQ8d+uN4+4Xy0O0GcPdt9/FRZ7veL0aldUDx+De+WoElFEa6jeblXot1niHjN6YXSx4oMcXY6xSYytocIvVtngbx6ZSGQSeqtfbO+nFJeq9t+VabDqOlSkQ6lGpf1LojYkjmkW/K7ZXecOSb8fbHEzKeKjy4mUw3EBiZwap/LVFp7IfqRKNRL8+jHghp7YS3MR1qg2VzbXJo7Lvz92sL+7DhDgedNjWDaMGavdGNM+j5s1Yvnyy3Mqry+yHPHRLPECOmds5i7r4FG/u2Dq7Pj7117N6WU/yZQ69B54HmQhrdPVtM3i+V2jKXHGNC8sxso0MsrMf/dP4n58pPrgQ4VsWjZNL7J2tj22mD+V29SlLaamINusTmI65M+6xBRW9eWo42fnMX7YGut+LvkqBffE5cWo72v3Xz01Lm7x6ypV6O8sv3UFZcpeXoU97G8p3xDqJ+vWcp4FQYR62TXzOYqev1opza6fP3pukwddg1M1J8vXTNwfmcb0zmRiTz3gHbyNdk0HwB7TOSleZ5R66JPWEcT1jhnoBHHa5iKUfaxvg3q6KPHrzZizfwF66O0ENfpwCYUBanRimXoTBGUalku4bVx+AS0KXXk+t61Wj3zUzj/TjFROWmmNG6myQrQYWi4zX0SIS7sJ4jrzpcs5h1cWSfWFffLuOrskJD4l9HYB58l2eZAwzihecKC4gbUZpIDLuYdUEKKzQbVvhKLpLPvInk0LUOOqp1I0uUMGkgCALkd7QOnxfUpZ17DgFKQtGf1koztX+eDFOFTG21Mkq3xmPabJonPmfR0EdZYxInmnOeQNjwBgiwcWgp86xCXL5LUrGfSWEqnDs4NPnKPp5Bh+uxkMcrbwRBE+rfO2raTE2+NskiBdbFg0tnEYh1DleY1PtadQKXwTic7IfyKWS+34xr3joNqdcYE+8pmODj6YbJwFffQ94MGsrQWLyjpLPNbxdRJncSdnD3O3Nlr96FB46osnD5nfkLHrtHWJupGmM40PH+fhrLsGNykFn3pCX0/zkii2LP+X7/Dc3QYSyYwSYbXKXvzCBr7GgmFfV6u9P2hEsoLmDdMk5m1XkUj+6BxfW43dedauWSTi+CHoxhDGXXxZic+Uk2mbLbiY1cjDc+R8mgs5kwXVmfHNzpPCs7Ozy1HE65PMrGIItkiUZCnaMV46Jck+PolbpVlRhLe33OkAZusyLkgM+Jc2Gb39VyTIjnH6xIquslBaa/GHokmk6s5MxHqoMw8wgTX4/PFp37PJy2LDSt0G+2UtF/ODZz34Sr9YZAzDmD3jrAflNFRTUpmz+3fLUNnNkw62a+su1wCk6Sh/brMvfgh1GJNdux7jj/rz4RblDfawLaRPv+J+Vioa7yjqY2JEY10NFoyHg0iEaBTum2WS7xDV842POzXjRLToNwYTrjF4jIrNb1LG9/prxWe8809t6v4Vkd94TzV5xv5DVYWsh2ABiZFNpZizEhlvb0bbf3MjUikaQpgksjQLETn4XdOLpJzb54GPfkER2alO3SvL5tnNQRyM7BsU8gxvNTifc/YM9nle01DkdtTeYDFBd+TusrHczRrsbFi4q3N9/sprs0aQ+jsutDhXV2SkLP9BiT8/N53c/T55elGEG3gc6zW4jnOJsXvqcUWlE/KZYLWpKV/e4QJj6YoXddlHBvWQZbUfoLz8yJU1AYSTPuYTM5zzt5evEc6DwFPvBLvcoFBuXGmRBdSTsoqNR5FGy9+IsbTERJPtmUmA2dya7JUbHIyt4QkFOutIeopJsEaJgQFA5Ez6F4lIe8amLV0h2c9U+5teq/JyHUbNG9AFSberFNzJTXWhdZ1AwPO5JpLejfHx434zhAc0nrCmC+Qs5u3fqWxk/tYmAcYAJ3b/Ej2TLXmB1+rVRTmKqqooooqqqiiiiqqqKKKKqqooooqqqiiND7eCMT6JKX6JNXYCUmabWD0kMtkm8U9I4c6B8KI45RldRXI3MDs4hAh7peLs+eiCKVlNh+BQHQ3g+LWjmgm6a4gA4UP95+NbHP/YexebexMIdmgjs6lIWPKINpM9GSCBuzuwxJU0LMSOLB039oBzySUWOqkifBTaKXAiuu7U5i7SFLrmqIPNawBpdigD0jXFA0pyiwHZxW9yH3HIL5qpukLUvYTEGYJZJvU2MEDBGqBe0vH1ap+GeOSh+/Fbm0NdFgdUxLvpWCvu4ZL3ehX9+/GNecvHU2vwQ7xwers+H9z9a3Z8Wo7ynX39GkB/5Ty6MUjEA7XrsZu8QpUiktzUJUx0Ll3Gn1/by92/9zdUUg325EarYOIZWes3kXk1nrcB2FEW9bcvUpQx4e0t24p0NRzfZhzcghZ+zDjY7g4furcpdfj/kefToV/N2a+HFxn94xdshpssPZj6N1X3dmMco2m5jzj9PTOWRXFsdjop25jlEMYSUcSzZChEET0aHxRRCVMKY+C8NoiE3NoqBxKivZlQtPIoQxFZ2TIjQ5lH+VongiaS4OG3ioKzLKIyitDtpWhGsuo2yLazkCQLU2NNfJIPKhFnCuCTeTKWit+F8Fm2TW+yKH7GFs5o5ccFa8YhS4aMXvuPGU3EIqiDsvopSLFbL88NbZR+HsZutA+4fmW0/IcTWmB1pF9Q7Mf69d3qfXYyfUlkBolSNhceUHUOM4ejzBUAWl4an0UzJk+U7/E3MUyboBAvotxiSHqsFFCWdd4xroUZSXqz7bZbF6UIYf+HbULj+2P+fEZfanMzMj7O1Y1qsgxMKr4yKLdPU+NbiM3L/aVdeKb4RQjSr8pnzTiHbC5HAikI7753tgLiu+rG2G8tdqKvrGL2c+DfryzulMjjtsnMU5E2Z2VjP13MEjZG8S1d7rRl18/inM+v/be7FhktkZF85iCiBwuM7i63YgynzGesthoFb93hkoDNIuN0s5bzO88n9/pmwtx/dV21PXre/Hcog6/8iDMWxbmYmzLJupN0aT7g2jf5RZry2Y8p898XIKYFKW5C+pxHpTik9N4f63NRR0s8+0/B2LxsB9lm+M6/p6t6zeoI9F8OXOXhXj+YyjRHYxfR4usY1nzrS5GeXcPeQ8vx99qpCe1+XyL70touKLiRu/T9s9f5BLOG6wVExJsSD/Nzyl3xbsXMywZgXVRcRwnTSNB2uWovz1zG1GG9gISaxnCsCSv0cFgdXDqXBSny6zs815rLxSvg+aXfcfHO3MBw1up6d2N+L0/j4QV69HmlHLcQ7arhcGOcmln9ThH9qd5jdF0zTnulZjsFsTHOoHYetRMjW4zDTaliPLRpZMyXPMc94+OU38MDfYydKTfuWjwk5tAdEk0ufCuLZJ8ECKrngF6ZL2rxbTPWplTcsdkKUmJZa7DYOnjELs0pZIeohNw/jA684iqU01P3QJp0w31BfldJyKdllpAis9dKwhzV1tAfUpOlws9ntLXm/ej7c43bQMmOOiivEvSaJ7F1bL/QBvTf+bvMvFuOAlRT0x8NVxsxxvQ1Nem50hRp88OKLsQaKkfozqJACZqk4mWy75XX49W7uBMPGZC9kWno3d7WbrDRdmuLoVmiGVX50UHuB0Sf+qZpBSL1n00OHYWdMYsptOd8kGmzsjyCro6tbjm2lL8/ujg4iNM6YP0DG6VthNJjOHlKLuJ/NymgclEXbmFszvmSYib2Hc8JWjR6llmdH/p1CfPFCfVR0vMfyckCh2HfLTlHLov8XJvFs9Ls77dqBKIHzROx600HrfylGASey64s8TToET30ISViY3y5Er8/pBkkAmuXXQEn+TOibFiEuO8VpxEyRb/3tPknX9XpkM3bhYnDT+IBqH3tVw69pqUMAm3VlCvJjzKtNzKwvI+OI+Ex/GoOIHoc0hBHY+LEyQmVKzLsmRp/BblcgGd02+kHtUXNDnnOWVJahOOnqO77j6JZJ/J37PYK9H/tFw5Grv0b5JqZdqh0vql1pkEc9yYQHv9OBbQ22vx3rRvZ/cyeW975WnTxUlk+6Fap7lEfYkeonXjc9/pBQX0Usk1i+aXnEZqSbLx4SASOovN4gStiZNc8pr2Pkjxjjf5eG/ywRdHVXz4YZLeGLBO0Wm0TzJxzw1yXOjt77r++k1p31RLrUnS7PmFR9PrRRLS79VT6NHO/459k4Ym3R17d9FjVcfw//vo+dnxD29/ZXZcJgGSG08kSP/pnedSSil9YeXN2W9u6DlOTKyOGBv7544fki886zbf7/dOY9w6hzx5GL/vQin/3JXQ+ZVO/Gt3bsyOs/XwGXqXrpHPmBN0yB53cEDux3vBxKbJzPtHMeeqXSj92ffgMZru6nK+vYvrN8nCTLZEqvQJ1xhA612dizLeA6TRYb1lYsg138FptJn6iUPWYiu0gQlE1/jSYE3gN5+JZ+1P5ae6Xdb0JOxy2oy4CKt7Km3ZtY9AH8E3Tdalo7fiGzR9It6fSrwNGa8m8EbtqWY19djkOfoHrFdJ8BlqPxomHAVerD8TOqnWjfNYD7CV3gZtaeedgiQqZVFGbNRhrXZQLNs3AUSUaSOOkUj7ZlFtx1VRRRVVVFFFFVVUUUUVVVRRRRVVVFFFFaXxsUYgjruTlLqTHBpQJJ4i/6UhygyUlwjA0yvT65CNF1SwEgzN9GgHtA5mFBPcj+bu4bBziUyzsDjoyZPcc5TQHzkUJpxz6Z1CqXMuR9KKdZ8tcerpbiKArrsTWXB3GYQy53YcRCRBqa6tgebSPAIF07q08/mLHZjhYrEgqrRiqcLjOe6vWzcorDpQ3hFoq5Mb1JnUZgxQFGgd0yc9P6MQiypTkHXgjo5oWrsDuxyny3HOMTtvoka7D+l7XWhXOnjRZ5rsTB0NYhdjHbj8ypR2IOpxtRM7N1ud2Lk6hG5y/yx2/r53PXZopFu8fxy7tVI33zkK17fPrMRuZovdzFcuRXnuYt6yjmB3Lq5d7Abvr0bdLSFEvfvuapTlSjzThJ2xMxEOOm4LwBMMSN/rvA8yuUvfA5afczErMfzJ5qkGRiyipHNUafpsDXOgUQ49zbjhT3NyAz63BkLT+05GlYnKB42zUSeNR61S+rG/Z5RRf8u55YJOewK6Scqjhgd5JFMc6xSrWciLc2HYIDLRyKMBoapMx2obRJHUMBFQpyDxytBveZqsCOVvfr7hPJNHcyFszXUyGmcDVFUZeitXRo57JdfWXbLUoZZBKZpMOrH1KtryOEG1mrbDqMAJOKV8nzE0idG0J+9YjPMx9z/F0E7UoWG93+7FvC/i1TrO6s/feiXXuAICqIxO7fNZ746DJ+eg8ii740Yk4aeX453lc4sUytCG1qPl6oHMWc8houL3oxIDmA8SUutGdVAToH1EwpY5dmeu3yIzy8ahYy/nsFyCuC2TIZAWLiK7im9P9A67qX7eTW2MBZYxwjs5oZ8iv9NrR/uKjFrEmK9d4uK7N4h2f3Aa76a5Vpyz1QVBO+1jyznka/S1E8ZbrxXHfsceNqHb8j7wXer37R506s+t35kdOyZ2QcT7Dn/Qi2ORgZ/YuEA+vtWLmcixpyO9CEvhXr537iNNIvpOR2Sp3r9xJxyhX3su5rnrC5hzsA4YMrZ3cHDOUHr1km8Sf3/vNNB6zy2GK7chIrVZi3pvg7jy+jpI31janx2vd6J/vgll3rCPZQYs3mcwBrUPWlHq8/ql6JuaPY5BpK0tRFnuPV6dHW+sxvv24aNovz2e+9JqXF8UZH9YnBYSXTe3eFGXZ8iYSfEVGel6so9xZguW3lBTEpbUoyOcmjGZ7G9rkFJMIba8bda3p1ODyM4iyHvmlnnmpT45jhbXEG0pEyxhJNOG6ZmT/ZHFBTrUPMDpWXyT59CntFN7yho8uxfzwzl9Q8Zcd73Y5XqoxFyWwylBVxbFxzqB2Ditpca4lgbozeXcS/m5BS1xfDMqcwy91ERd+60YyP1LU3dWKn5wBdrF5biP8nitA9y25oqThrruGo025yhHKIUR+rWagudLca85qKkZVLx2DxcenV91QCapp1N0+3Kxa7MTg518vMuCEUqlWnFqSJ43GIxqPJboGmaJTrt8bcB/rZIgQe+tzvGE59aRua4eIu0xIv/UPEJPBN1ModTtx7TNKnbq00RnzmWbhKCOVSZN23skphnBfcpYp29MdLx+HhE7JgoTvf0zNMMYT2qKbl7dnx1n7m1ffRwfLNdW49+vduNYbZUnLT7w0KKRkixFQLqFH1smCJp8TOqcdu/B6uz4+154d3Z8iNPaZveibPGv+Zd754Uo16P9+CD1xamDWP1dnCh3YpypaeqGx2CVRLabA/bPlsecr3Zm9ruyr4wJacteu2HCnOs5JnLXtG/4snpCX7px8dy1isL8gaNTP0/dejGlNKW8I+p25+KDuyzZqD6TdCkX1blECL+rvTSGrFCmk2aS6PEQ50h8UF0wZfTHXk1n5rj2MdIHZQm5VrOYziiNSv3NVmkyL8akrpdXO/tRnhJn5yxpZpJTmrmJDR1hb6NJd522KYvcR6jUX5KGuaQLbZajV0MNdzGZOYuOSrQv7Y8mxnK6fOPipJYU+zIa3usnQet9fj7of/YfF986Z0t/zqjFuYQV+ky+I+wnrzNWrnSCFrVWoh/me8d+knefLqbV55L8Ook3TDpc/K0SID5/h3ZXf1RdszJn6aOS8e85pf2nxKXc5xizKZBR763rB8Mo7zaJ6bIEexmN23q0f5pktA3GJcnxKr610V7qp8Z8LXXRVzvrI8HC50HO5Zaky0EvvqdMGprAMwEkZfUPbb07O/6NvWuzY12Ws+/OY+ZudbqvzMec8MuPb86Oddx9eTk21A7RB9W1eZMxvMmYKJPpcBOgw+ZLD4qmlNxXli+0H01+/v23v3d2/L3bocH47klspjy7EJv4JtusU7+XdbwWPLCzFuNZyrG6jiYoTYSabMq+xw3H+L2zZc6N+pV+/fZhbOyscz0dmV9efzg7fmM/3gFHaBC+j1u1IWXUtYL9M5P06uaenw0RyiJl2BAUtIgW/QI065VlNJIZN0srJI9Y87UELLmOZN1kEqq14HfXxd+enPDtNo8mMeNcl2Tr67gX/brN3y4gYTBeYh3NM50dIwtGTmRhPp5Vqa/DA+aO6b18Ezj/1EpeETkMyP24nvJmrnPGrOFMFJ7j03EwxtuAqJP76D9AnsXk6sbFOY11EqsmBMWXsFZcXsS1mUTv4e7FN0FtWLkwV1FFFVVUUUUVVVRRRRVVVFFFFVVUUUUVH0J8rBGIw6VJGncnabKCyCRZZ5Fo0v1E9E2gLScQcv0dnCx3L6ppuADCDOONHH0PeOpw6WlaYUp5x2Dptu4i5RBAZLI9X8MW0ZPnb8aOzrXvuT07znb2RpqMYKrROOM5rkWWugZi0uy8sOoRCDZdfC3XRLrLeXGaX6TdBIjzRMQg7d3CPCWLISi/pqKjOGe7a9F4xM75BjBl+ozaz5bxfB0EqagxUFvnSyUZ/ayeNFzJUZWL66h/Eyj+PcRR+Vshy2fD4n0CUa6K7rZXoCgt8axQ0E9AKR7OXxx/ejsc4hRGfuckYP7uZrZBkBywa3gKVeTLdwLeu/VC7DLqBiei5L3T2FE9Yrd0fSP+1h2/s3MQM52ndzylxJw12HFF9Nu2rjeK29p+mrkkp5SnJIvE7V9mjnAMOf5Ltn+aBxf9ynHQACmrG3rrTtRRznlZB3nabO5+/N6DvTHBaEWacybjUDv7WL9qPtI4HnXT+aiVQ91IU12HOpShz0T3iMy6AvpX9E3OtVYjDRCAIp/yFCyoNaCE8g7Acb4IubxT8UWZRaSVmbscUZZhHYQVdLMcjTtF6BRbhuoU4aijo86YUtuMIrfcegmSQJTWTieQGjn0FOcoFL+AtZnmKra3di3DEjTXHmg1xf33pqhCDS5EnokE1DynDH3nM/32caB+Xph/WHjOZ5fiW8X2GJc8x3xNkwRRk2fT5ymmrmr0Yt/fAiVkiCy13vu8D0TFliHkvFcOmShCjm/JbHzYl6yXJZ3Xc0YvoDRL5AzKkINGGfXevzUaJQjArF/d6ATCyXnAcw0p1FLtc3NEiSmSzssyGsaVicq3JZqNSWo0xmlOBBK05SbMjX2QhhrhLeLWe/8YOY6FGLe+4y51Ym6zb2jKIXoxY8cc8i3qN6Hz/43FQIwfQ8e93o0+roRE5kSeUn48L2iQwjj03b80ifs6hxifW425MzN4+QfvfX722//15q/PjpVw+EPr71AuvtlBYytBZByD3rwKOvN/fi/MYJ5fDjrxOUg0v2HOGcPrnfj9veMLhP7zS08Kz33vKBD8n1iOd8rv7MeaQdThcjvqUQMY1yHfd+nd2bHfPw/pJz7r/8Kzbu9EPS3Dlppdj34l5fvgBKQqJiciIK8sW97oy09wk9ZASPq1bLAHjJuy8Ht/BUSfyMRmyToni4V2vDseH0Gxhak4PmDtjlFkBwTywWm0gZJemxtRH09ggx0fY/4D0k4U5Py0bD3Wfj7zKehGEZg+8/klXLnJMfTvxrPWtjH3xCm5I81Ys5SFYtTvrut3UY2PL561vYnRX0m7WPaTXrvw96UpdXvU0dD0G0eFQKyiiiqqqKKKKqqooooqqqiiiiqqqKKKKkrj4w0LaUxSakxSHfTU5ABEHZpeaoCZo62TPR6TmRWlM9MvM90KQlCtvubDuMZcyPiko9dAQJJFVl9MXYSGAqPoDKh71uK+7u7MX47sfM6KfoqUaIjKw9RjshaZ8eWlyGofHkZWX62AwRN2w0BGtS6hQyAasanuoAYPcRm133LagCUaavP3Ls4/uVpsLqNIqPp0E3ZxRpdAkNGXRpPi3RJ163Labuxu1zHQGZXpXM5f/J7TtVxGJwMR2Ppm7Aq0eI7Bqv2QsoOEbaNd0d9Hd2L96V2ylPK79MP30Up6bn927I7Ne7sXO4GL23Efd/UWW2gugCpQb+T7t2MnVG2VFHrMaZnrqO/iNdUZ+dTavdnxrePYdRWBeIoodHadx7uIJ6/sz47d3W6wYzYBrWdbTkAsizpW32Ki9iQ7VprpaIKTC8xQBFYNM8QrKN/RQvH1zq+y60XfF0kpuvjs0+jHKiSsYQsSmpm5y2TyjXcsq4jo1s9T5+u29nLIK5BBWYhMEPGnFo66dblzQGeo3SfiQtRWmQGC1xeNJIJruxW795mhitc41ciCN/XLCzGW8wYmcU8NOXJGK3WfD81TkJSixrZBBi6VmLoUIZmsU5FqeT3G+Dv16fKGI4FC6M4VI0XLTHNEDF5tB0rm3V5oQdmu1lOG3CvrDz7TDvqCZeF1Pr/07uxYPUQNdPI6iegwUX/nBQi9lFJ6tx9olOw5RMFadjUNrWsRQNaLv19uR/+1Pd4+Czj2YjPG5xrX36OvOp7yaDz0QqcISrUcRTWJvnsyCBRGBz3NOv3NvmHblM0FxjjXBjFGS02MeD+LAMxC1O5Dnslz8+M2+qHojM0SNHQnp48Z7eG3QhUfXfROWqk+aacm7yPN4UZoMT+W/cC3iqimFdBk6uxpurffjfF2wvjfmsP8g/fU28cXY3gXVNcra6Fp6DenpiVlupqitHOoZ5Bt583ojw8HgQx3jvJ3x9tLi1E2UfZZf//D2+Hu2WWe/e3dK3GfSxhGMPfI6nkC20c04jA3J8TxF67Ht/xGG81zrpPVdUr58XxjPuauL2xeXMdvid85jAWB+ugyJ/I6lFHXN+cCyXiIcZzGji8uBJLRd9A2aNZbsJw+cSnOF3XoOzabizR4vHUS7yufP9OTTymlh3yD28dFIF5diHeD7aGOqCyqLdC6OR1GULmi0hxzmhvtnl60ZcbOTCmlMQYmZwPRfbPD1AKBXCNPoPalrDCRg23MWRvMC8vLcZ393RhzZ+Rz5tBVPDp7GsXbxSvi7AimAH+nrqOGTktzrEtXWbNTj84Qfjv6mW+bmc+RRdnGsPP06Onn6GFqMzmOslx6JpDR+lWcHPJNOV3TjvvF3wBF8bFOII6745TmxgmDuNTZhRK8QnJOoUsX/CSyapyj6219msyTHt3QsbQLbXktGvhohUQhhhxSTetSVhVJJ3mkC6rJsRFJuxx9lhDKnA3S0X68TBsrunDpehw/d7oxcE5OocwukETBdGVwhDOTyQ+P5/mo5LknGEzk3IBK6uDk2sXvue9erw11cmQexkvzfFJTTeI2HsYLZ7BJPQ2L6z3ntMtzzN8iefXSdILplXzU6g7NbRSHrfHhVactxzkKKmWhvAra2q7jR0wqV6FDMYFLYc4mUJ3uOrzwdubj5SutZLAcdfH6YRiw+EHmIrBJI/sh42TrGFK0+RKUhXcQVm7lHNgu6nsLeHxuTHKfEUK4tRLYuM7rTRKCiusmxn/iHEVvR9J/SdRpbjTCwCdl41KzlqYZxuLk8uARFIuteClLXe+sxctywMaGGy5uJvx+nL2+06OWJqmeJoXU2JS+bqE+FWc2QVJmimCyRKfdBosLaZ/PdmIH7GCEmyy0K383FktojkUuzOsYRxzxYX9ekgTIJTCk746Kk6waxqyUONHWc0Yr54XnjEqSKNlCYwua2nkLw4oSl2ITOs4zLgalaNuulsXk56USQwrNN3L0VRN10zooo7Tqemy9+xz1EjquySCNAIyvnsXCVpq8idtccpPfn+0GVS7rw44JaelStBslhif1EoqxYeLN+i0Lk1qdkj7mmN+ZOjLnkno0jb9fYUNL86FcQq4k6WyYKDTsE1dITOu8brI0R7We9jfnHJ24r3bierf7JLqZF/IJT75zHAc8t3OdbTmoEojflmh0RqnRGeVkj+aWmYdO2LhajHY/5jvzgIX/UquYZjfJbTDE8Vt882nO4UZ3tjjXkMPN7BW+l++fQqGe41uUOfe5uZiT7PtvlRib/eZ+yDx8YePt2fHts+Jk0woJq0tIUWT0/TL5BJNOD0hOPunHe/La3P7sWPPCe704/3SI2QwmiM8vR6LulPrb5foatmjk8v7Z6uw4k9dwnjXhe8z9NXmzDTTDMt44ijZ4cSm+c8o2RE1EXp+LNvv13etRBvqbLt1fmrqsfnY7jB815NnsMlcx/39h+93Z8ZcPwmBMaYdt+t7hgPcdSbh39qN+HX/PrkUbHOH+bNLQex2xRlzuXIzdg+fi/pqfnA6ibbzn4Dh+bwikYH2w0CEnIRiB0MRyfRnzGjZcNXM93I+2LDKqMQko0Mg1snOL5c3RgDGs8Xxdrk1E9ki0Pj7AwBBgkklDY35p+l5lXTrBtVqJu75yc4JcyH9JI/+g8S2hMN+5cyf96T/9p9PGxkaam5tLr732WvoX/+JfzP59Mpmkn/7pn06XL19Oc3Nz6Yd+6IfSG2+88a0oShVVVFFFFVX8/xXVO62KKqqoooo/SFG916qooooqqvj9xIeOQNzb20s/8AM/kP7oH/2j6R//43+ctra20htvvJHW1mIX5ed+7ufS3/ybfzP9F//Ff5Fu3ryZfuqnfir98A//cPryl7+cut1ikdiiqJ81Un3SSCOytec545I41Myj9T7CnJuRdV34cmRvT54hO96ZXgi676jLfaCdmtGtQSGsQ/eTpjsGOSS1MolqOgUlQBlqwOjnn0BVWYEKRIb7fEoZ0AQk4U7fbJF5B202API6PGBLgDpNXWjcmHOMQFi54zACRScCcHQAaopMee0Y9CfU9OH8tB0WihGNtkFtKe4/BkE27H1zNNmMxp5SDgFZs4ya2pwV5+ZPX/I69afKaz1Kkx3tRr1PqF8NNlq035BynfeKh3mvH31jcSF2YM6og0yoNaWUFtZAt7CjkSEcFbx+Zj126d7aD7rC6WLsQAnFFyEo1P8E5Mgbx4FSdOdY2vJSM3YrpSYYog7v7K7OjuendP+9o/mnfkspL2psn83RloGNJ6jrogjty4JyWw/jb3uXQYidQA8G1Thsgz7lmtkl6yIBOR7TfwZ1jADuQFVeorycb19qQl8434pySb9uPLm4fq33Ldmr+kjio3ynpZTSJNXSONVyCIIc1VJphSkCR3pV0b+nlEfiSOVdb8Yusgg2aZzdeuyYi37zb3slFEmvsw9i8d5gNaWU0k2QjqIbLa9UV9FNIra8Txny0r8dlZjKiFi8PEWBfX2sNJ+uSym4UsbOa4yTSTEyUZqqz1RGTfcc0Wwiu0QG+rc+d5H5zjHmUx+Eui7adKEe93mzF6iJT8+HyL+RM5WhrkWQLtUxERhHfeQMXjjO6mOUo47HsXRYkZEaHfyz/Rei7Mvvx/1pjxwitGQv3jqTkm95rb8yZGAWmhs8AyXP+mqAsCyjGxs5NDL9ql5i0mJcbsV7/mgc3wrea3U6pkUrZmM/pTxd87luUAKl9ecMlUqo/F4nZ+5EeaXtfafHR/le67aHqdE+T8fH8TeaHJwpk8J36VCZFJA77x/GwuXSYrHJRw/02+Pj6HsaWCTMeVantOgV2DMD1mS/BX321bX7XI91BXPOKWPc/qhExt1+PMf1hRhLhvPPLz8J045nGf8ixTLU5JvMFaIqXWdeAXn11f34vl6FetyZRH34LV9mSHTEd/fvPNiZHb+4GYjMOVDEUsZfWw8jxgxBLuL5OhTn26drhcfWVy/3joCS3I253niIwZiU6waotT5zjmjWJSSWNjHkeu7Zx7nnSSmlOdYsJ5jRiHS0jjSSeeMw2sC2XG5Df6a/f3IzKN1KOLTp52WyTp4jci9Dwq4vxfOPSlhvV1bi2/F4KZ71pF9s5iFVuadZJeFa1+sY48dxr/Zlvysvyi7qUEMV2Zc+U53jHLoQ5ovU5j7zmChC184aQ0ktNkRBen3X71l0kSTQoMU8kOtVzVazehk1v/E3iPGhJxB/9md/Nl2/fj393b/7d2e/3bx5c3Y8mUzSz//8z6ef/MmfTD/yIz+SUkrp7/29v5e2t7fTP/yH/zD9yT/5Jz/4zcYX/6vnaH3FTso6lp4v64IMHfZ5klBSjqcVO5Gya+LIhBXw10Ris/6EhBXOvWro9U0gliXBNP3diP+o3we6ymDsoQGYUTMfohNpwqO17osT2DEdtbEck9poDzoa9Nkmg6XdiefLUUAP+YhfjEE04VnHaghI+3wmBsnk8KIMTejGoyfQrNdZOJHEkZ5cfz8+fEdXi6l3JmCaS3xM340Jv7bGAovEcB4xDVVumnDMUZI5OVfeNRcIJHeBhA9Iigqx1mm7tgpldZeyQ8tWD2KyIQybF/BSvICzD6/T+biPVKEXVyNBIAVDFzdfqH6ArEOb65BQlUqx2JDeyATOB8Pd0/hQM3G5Afx99+zig0Ha/QlQ/INH8VLurkY/yWlYOuZ30aNQz1PndxJ//WfiOewz464c9Dg0aTjWFX5a/jGapokk5KSFq/JbyBlgQj3JOcv74mQMM1bq+9BJ0HscbVyUYXxWvAD9OMRH+k5LKS00+qnbGJXSHN89DTrWzpSiYwKqTOcvp4FWoEuWUj6BZ0LMxJC/64RrYj6/gCcRQYLrhW582Bbdx2sYPl/O4blWfJ8ymrUJChMk1plJH5OlOZfpafLGpEjuGpTLhId6kDl3el7yZck+qbeen78Xciokb5wXTbpkyaPFRjE90MR0LmFFHUlPfqkbi2zbclSiCWkcQGVfbxTTg034FSXHVqDA2vfvDNBLrMc5Jqk+tRQLWfvbM51YBOe1Efdnx7aT7Xec67fFlHwjS5yqi/jSwv3Cc20bk4BlScPH51CP6QM5qnC9uB+cIEOwwvtZDTUX4hm137nFY6OsLtwEMIFYtrFyn8TMDjRGdaaeVpL9zoqP8r021zpPzXY9R+08wYVZLXrj6uZ+nM+3mPPv/lnMFcvd+CbZHyAdQZJRF+YXV+Lb9HFvOiYGcb01EmkmCm+frkYZoaM6J7x3FtRR6b4vL8UYlh5sIkkpETdWXl0JLWDfGY6b7Fvac918V2dQOYfL886nMacPTX4uxDkH0F435qKeTCzeXA+a7OW54vfdFSjVOyRXb7QvkmY5qQo2G+d8B1Fe55bH5/HcSiX43EqGqFP7zFyU3U2nrx3FxthqO64j3d13YtY2D/vxvbGATq70+k+vxXvnnZNIFN49ifn0xlI8x+MeOpskia8tR12r13lMcnC+RK5C0MQxtGjb7N1/eUG3X3oZN/KTOHcRR2ET9seAMPoDgFGsuXYfRj1dvhLXNyeRo0VznfVl5HWuMD5YG2frtTaJOWnToxJ68uEBCWUSmKdoLQ4p19ZqtMfDJ/FMc8hGHRzGNUf4LNSX6NtLUQbBXNk6b4Dc3fZWjB/ry5BCbYyn+Zlaid9EUXzo23H/3X/336XPf/7z6V//1//1dOnSpfS5z30u/Z2/83dm//7OO++k+/fvpx/6oR+a/bayspK+7/u+L/3Kr/zKh12cKqqooooqqvh9R/VOq6KKKqqo4g9SVO+1Kqqooooqfr/xoSMQ33777fQLv/AL6c//+T+f/sP/8D9Mv/Zrv5b+nX/n30ntdjv92I/9WLp//2L3ZXt7O/d329vbs3/7+uj3+6nfh5p4eJFlHbfHFzRazE/6GKe05yPTKhWzjfvPYA8YPlS91NTYY5rhVdhyDaQEKDDpexM2f8cg8Zq4FWmWkkP9yG1cMztOzvcMOtQn4ppzwFwX5kHgZdfnPo1TEGbz0R2E99bYQRBtVQeNKGprfTF2AXRXergfWXjNPwzdYhUSnWzFc+TgwLWLupcSLV1dp9gaKMLGMjtsIKlaoNxyDtKUpcX9JyBehxp4bEQdnOF0pKnLcHpNdzNyfYD2HWFSMwFVubTOfb4Wu+5jRzZ11wQhW0dwdkyfOa/Ffe0/Rc7LKaV05dqti9tACxBFKLpwoVmMalgscYJUuP9ub3V2LLVEZGKd8eGOWc6kgLLlhf7HT/1dH9SlOzPuTDXmEXWnLL0Ddtih5td0fnecg6RugBQd0Q9EF4tSdMcqizncyc7qSA8Ig78EXeAZTXu4+HExerG1xS4Zu2qnezHXZvNh7fzj68L8rXinpVT+XltpnKa5RrPUFfbFuaeRe/57zvVXYe8Siq0IpzLKpaijnGsyv49KhMzdpvScDCUorbnMLEWEwWaJwYaoQ1EI3tPnGxXQd7/+nAfnMaeKGLScGQJQKva989XCcy2jdbfd1J26+JlGteJ3pmgc+4ztupQztYl5qag8Odpr0hkQKrbIthJ/JJ/DEKkpKsR6tw/vjgJlIZ25yI08pSi//Vc0pmYf9hPr64NQf31PdEHiSt22r/oukx4sOvJgHGOh1X76vrkxocs01DeNd8qMmAyfzzlipQaqiEZe4FlzFHiuk6GHUoo+af0aPpOGQCvN08Jz/D2PRsTMohXPYf22S5DX34nxUa7VsmiW0ONGfJNMSqixmXHD18e1hZg7/dYUESYKSySh1NQMwfU6VF4pnMbOXDzXZRCuvm+V0NkHrTe/WoKy55v9nZNApXkdEcj3mUel/v/K/gXN+eVFaNbMN8ug74zFVnH95owMWc8tQZn1+XT0XYfiW+TGnlJKu/34Xnw4iDViNk/7jnIOkcHge+/9QSA/ZWaIZFcKI6W4f6OAWZBSvg5kV623eZdQr8pSZGYsmq/8zkEYhrVhbuyfx/x/Sj1+ZiMMWOxjyo2UGWBZ9lXcy30O2Y+a0fmOc02w9amLb52VbjzzMyvxfO8fxXfT3cNAT86BfmuwlnH811aK+6Gow96TaLPVK9HGS8wRTzBaWVtFxmaKGBR1mGOAsB4XVbm2FtdQZmEe85iW44OyPKpHvz5+Em28vBnXvLQd7IbHJ/HNY2wuxzsuYwQOub99Yx/jmMtbSBCVyHhkuZrhuHiNXhQfegJxPB6nz3/+8+mv//W/nlJK6XOf+1z60pe+lP723/7b6cd+7Md+X9f8mZ/5mfSX//Jffur32vJ5qs010kSK5kp0UF1jz0namexqHEEDvGRiiGtOKXw6L9fW6eTq5vnu4z452qIvSDquTj2Zw05KKZ3Q4VokCobctrMYv/cO6fRXYgJ/cnjRKaWxjnHtsVu5uBqSZK1Rj2O1A/nYlaffxUJe/TSroA/Nmm/+NEL7UQrziMTX7HcSbNKsJ9CZ1ZvUWdaQTuyHjMkjJ7tzaKcmBydMQvM4M53iVJymFFfpzmoSJBKFQ/pj/T0SNJ+MfjK5EX/bRKNrktOmYKJkfCwv4WTFR5MagZeX0EejXe+eXrwgnl+KCfByF90LqFtfPghNFPWIXlqIj4EyTajfOgiXOj9Ybi6orRLnn0F5kbbyDBSAX37judnx9csXlAXbd9Tgw5YE9BmugULSO7wg+210Jzpch3HQWYYaWtO9nPZjY6NhEvOY5JA6l9P2bpFAHJLYdByO0VG0j09IvE+gJKv5afhSUlJiMk0gli0KPg7xrXinpVT+XmvVRqlVq6UB2nlliZMsSeNHotRO6bte461eMbWnLJk4zrlbRlub8JCuud0s1lKchziYLf5NGrhY8KPO5yujOZuY8qPOBMIqSRw3okwUev3TxtNuspbdkE75zRxpvz68p4shk4x5F13GM3Xgc3gv6fC2U1FyzOd4rx+LMZ2OyxLN6uDZ9y639p+6T0r5tlkqoRzb3+xL9tVconX6JWOftS/ZNpbReixzs94vGU/S+h8PkLr4AG7Le1DoHItZ+a1rnUGtdynRUq6lq3tt66NoPvn60B19k7Ftcl6NQ5PtRdfMOclz7Nxl4jjf39jE0oVd7Vf6uOOpWeKo/Z0YH+larTZ5yv1Ul9SdjYPcuVlIWzZh5e+Jtbbtfvt4dXY8ZA6Rtvzbj0nkTOntz+Ei7PX2oTafMM9KQ/b79vrC/ux4HsrqQ5yPH/dxkyUZdXMhynALl+K9djys38m+Q69OHZS/ehxluXWIbAPl3cK92eTrHSjaizhe3z2Osj+7HBRfNfR2oDn7je84X66hP8e3+TKbH9k7MbfBQVLYce2GnXPeGXOPCUTr63+4/9Ls+F+79tuzY9/xll3KellS1Dk42/x0HdQDmDDPWsrnu0MS7pWVWB/tnwOGYr3zsBd96cFxJKyuL+/Pjk0aKuV02OsWnu/1d3tx32EJPTb+nbUSGoUdkqyHh3G9Dpryi93ob/fur86O53Ftn9uM77i5Fu9++ptSas4dWQJRyZ1Hh1F3WyTpjtBs7UGVnkPmy00I27XbZLOPtXZzlc37L6/Ojttf2J8dr81RT6x1fb6zqa7hxkL069uPY5x3AbaYFF6gLt69GzT5bP07qX/wd+SHTmG+fPly+uQnP5n77ZVXXknvvfdeSimlnZ2LSe3BgzyK4sGDB7N/+/r4iZ/4iXRwcDD73+3bxYLcVVRRRRVVVPFhxrfinZZS9V6roooqqqji2xPVWq2KKqqooorfb3zoCMQf+IEfSF/72tdyv73++uvpmWeeSSldiPTu7Oykf/JP/kn67Gc/m1K6gLl/8YtfTP/2v/1vF16z0+mkTqfz1O+TYT1NhvW8qzEosJ5ikABgcggcqMUiyGqgtsZTivSkCypoHwSCMF+y+nVQeWMEMidHPAtGB7oJmWmuQRvU3UgYnwifOiYp+yuR5R88uNi9bkHhPmcXf8yOoEKiCffkHMVXhCX31xFMyPskB1MGJYhbUu75NKQ4hpICNTSjFvt3Y8xdEsjPJpT28cO4RmOb+gC9mTNuwR35/GHUaQKdJU01RxgDZSajaDJ11G1bpwrLSlfVUfyZKK+udiJrc2Ys9CUp3WPaWEHZRXYoLq0W7yba3pn7lyLQhsLIi9A33Cn80lHsBAv11wX02nRnNaWU2kDCRVNYhtcPwoXuDJctYf9Xd552vhOF2vyd2PGd+2zURe+Y3UQQtO02Y9IxNEc/nCtGA9o5bG/nkSFI29GzSAgccZ2li+ufnEYZh7iZTXQRZ7OpDmp2fAYakr5fO4OyTz2NOU45JGM99/8fx/hWvNNSKn+vnYw7aTxuztxLU8pTHk/Yyb7Vv9hBFDUmQqgsLrelXWnOwc4qCKfTCRQsEEu+JzolVM8y59oMQSY6Tqqyf3fnPHZWb3QCnSHy7GY3kCWi0z6IU7TPVPZ7PWeoEvX9aLj0dHn7Ud6X50IY3ToVvVUvodtadsPnkI7l+SLCvKbovm8WotYMr2HfzBmq0K6i0KSVlZlmiET78lm4n15rB+rF55MOlfWJRslOuu0kikczml4JAlLaYMLcwD7z/HzQCaUWWwcrnXiH25+/dnp5dpyhZaXsltG2fQ4NGKQ2Nkr6r20gqtIxpKmN5io7IA1zsgEFiHPv47jNGewog8D3gWiRMvTt22fxvn9hPpJe9tUHfDd8p8dHuVbLQsODTo76x/f1WLQM7A4McHSK9fvv9snq7Pj64v7sWHTW/bNA0R1jgPB9Vy9MR3717jOz337oRtTPraOY0797IxKjv7kb89Mrq9Hv9nDx3QRd+EvvvDI7/q4r4Rgsmk033nun0WdfWw4q6+/yzfzCQozzjLotonF7Ia6nAcwytOUDkG3WqQYwN5b2Z8ciMnUANh6cRNm91w7vANlMXzmMxPS/svTVi/uARH6tG/Xu/PTl06iL5+YwxsEozfek8/sfuvTu7DhHYS4xEzOkUStdUfSNYr/+7o1od92ed/vxrF+4/M7s2Pn9reNAjWlMI2VfVKPIQRGFhxikSA/2b0UsHvfj/MykRaOOe6BTV5BAcx3ie6FZINGRUl4e6tqVeN+LEtxeie+DnGwAaL1NWHUiiTemvx+cxblnj2HSIMFmaJAytxDvbxl7J0fR324/CuTw0tLTbscppTT/+TA6uoUs2KWl+I4TzWnKbnlax/u0r5JjOcd75lrvP4eBbeZEPfo9yE196AnEf+/f+/fSF77whfTX//pfT//Gv/FvpF/91V9Nv/iLv5h+8Rd/MaWUUq1WSz/+4z+e/upf/avpxRdfTDdv3kw/9VM/la5cuZJ+9Ed/9MMuThVVVFFFFVX8vqN6p1VRRRVVVPEHKar3WhVVVFFFFb/f+NATiN/zPd+T/tv/9r9NP/ETP5H+yl/5K+nmzZvp53/+59Of+lN/anbOX/gLfyGdnJykP/Nn/kza399PP/iDP5h+6Zd+KXW7T+sKfcM4r6fUrKcJuofagY921ckg253TLAQSNohMb3svjvtTRI8oxoZGCCDe6gvx+wjUTX2Ahh+ouBr6jadKhIA0SovF15xwfu73TbTzyJo3ty6y4OcYtyRQlS20Bd0FEOkoam2MNXp7Ke7prqHc+6QWXxu0VZ+62YwytNF17Gve4s7F9LnroLqaj9BqQEewBcKqRxuMNFrBBCdRTSK8chKWJ6CwMG9p7CLgTHnV6JxMNR6HtWIkp+YqorrUUxggJltbjGurzCHibALKdnENkXL6ye5p7MbcWNmfHa+14/xH7Ohm+kufXAqkjbv+vRxaJZ5D45Q1dn3eOY0dNkWF3UX60sPYqVy5qnYWO9zsWKuB85UHsVO4yk5ShgCeiPL7dOwEuQ/URvfQ/tM/K0H3qKHJ+Gvscq8N+oZIVfp+DhULMjktMXbvX8xH4y4IjhOQHZdBsdjHvfQeGlU7IBNBUtaO/GPKS7kyw6gxiJOPW3yk77R0gRQSLZRSuUC2xh1ZqAX2lZNANH330ruzY9FhnvO5xfdmx2WmB+74qvUj+k201RtnMd4+vxi76tl9X1mIXVhD9IDIM/Ub3ek3rD/16Sx7Xo8QtCd/m9NDRI9QFNYMYQAaynK1QadlaMWU8ogttQM9trxboPLUpFPPabVdvHtuW56Oom1EtGVPnUeb+e8xrnOoMepXnSk1KXPtxLQl8shnsn+KojPsY/a97D3REkE7LkZFWb9v9qOfbqOBaFl+F42zjc1oD+vDOrs9DBRCTsuQZ1Uf8hPzMRayd6WIwlaJ5pbXVr/RKDMTsh7LUJtqYueNkDDS0hiG/pYZMDmHaQikJlzOVKdejDQUme1csIOZhVqRfhM0vk6H7zs5Psr3WqcxTM1GIy0vgnAFjSiKZrmLDl6r2CBgvuT3nbkYkyL61jvRZ3b70Te+7+qtp87/1KUwH3nYj/la1OG7mJz4vdxZj3veBzm4040x+QPX4x1o2E/VAvz0enxXq6m60Yk5T+OkbOyJ9npuMfRrv7Qf73sNWjQYenge3/eX5uI+aoiKPJfVo3bf1aUYk0sgEN/vBdpqHTT296y+OzvO3gcvt2NO/J1+6KC/1gkUn2sJvxv8PnowjHnGPrOWQ3ijv8f767ML0U/+4dF3zY5fnYsyOO8v1eOZdkcXdfnLj2/OfvvBrbdnx3ONmCtvzMf8p9mP8+/ztKV6iBu8+9X2fBZzE7Vyj2FruS47pC3VSXRcPpxq+at32S3RItxZj76vduKLW9E2uz20fXkHHfWiLFdWMQKhPmSXbS1EXxWNuAiqMjPGPNiNPj73Xoy9u/Ors+MldOS3l3jf8xwPQR0aog7Nidj3+ud8O7EGvrsfY0gm2+V1DKOmz/RgL+4/RJt/ZSvKq+6h5R3TTg9vX4zJ8VmxTndR1CaTycfujXp4eJhWVlbSjV/86VSf76ZxjySVxhck7eo4Gdsg4xIzjdxCfUrhzVH/dFsmeddZwRQBd+YcnZFoHOIOdj0+vgdHQPT3oNNoxgK12CRDcz5eBCahsg768MtB9Zg0EaS+HB14ESjs7mOoUHPFyczxcZRx55lY7DWBTL9/J166qcSFOVceEojDXRxtNUnZnU4wGMM07iI6WuKwrIlKnXtKEW2akKM9NJswGW0btB5HfQwvR11OSFLP2p6qqG1HeRcXYwI6eBJtkOuHlF2HXp/VfmhS1glrmxeB8fgsFi/fD9R/GcH7J+cX5/jRU0aR+p2joHv40tJE5TYfF0P+9l88uD47/sR6vHz8MLl3Gh8JXl/x55OzeCktz/PhNU2invLvLajdZzhyzS0g6L0bLz+TcLVW8fh0PJtsMzln3xtJc4bKP4Fa3GDMjw+n7U03bWIANb4WbVdzrCwXO6s2SE465ufeiPo4eyHqo/4k+tt486K/jc966faf/cvp4OAgLS9HW1QRkb3X/u//8rvT3GL+vdQuoQe/PbiYy6+1Ys41AWVyqcyEQyOJMldaF+SGNB+dnR+cRxvrRFtEkbSMUlfLXJ1NOFyGRvpuP95rn5wLqpfUJZMPLhZuDTb5vZgmahwX0GBNCj1T4EKbUkqPSSBqNKHL9UYDEW/KbrlMREoHdYH5DvVheTdoDylb2YLQ36T77tEHlJYwwWb72mYmP+8P4+N4nWc18f3eIL4VdPQ1SfU7p/E+sL1f710k+V6BOm59WcYyh+ecWzf98L1+lEtqsckx2zWTGEgpn7DWyMakaxGlW6p2mSmL11vh3exixfr1Pjm6dsl1DJ9vo2G7rs6O7TdZ8tZ+Yv2aIM0n1eMaUsFNRts2ygZ0SpKPD/oxd7zzvcXJ9g8aw8l5+p/SP6read8gsnfa9/+j/1tqLnTyC+/dqLNLJBl0W1Y2587e6uz4M5djbB9DZ14ksbgGhdfvSKmez85FX3r37GJsK6HzG3uRsPr8WmyuvX4cmw1uTt+Yj/ewCcGNFpIXOA3PkdB57zQ2Gz63EslKE/y7gxgrz1B2x9Obp5eeurYJtn/+5NnZ8adWIzl3xsbSCcf7uCRfIkGr4cfXdiOR/+pGJGBNUP7A+luz4989jgSXc9S/uvFbs+Ps/fx8K57ziLqYZz7x9y+evjA7vsa74xEJRN+Z/58nn5od/5+2fn12nJNB4T2lkdbrvUjGvtSNunzMva609p66nu8jv60ETNh+tq9uz9ajdb3YjPbeJNFsHzMZrAmOVHP7tuf/9qOL5/70VjyzMgFl0cdkZA0HZ+nURo5KzziX9m6ycmsuxtmDsyiPfSzbtDxg08JEnpJUQ/Ian/1EjH/p2ruH0WY3L0V/s7xueByR2DxkrdnF9OX4rDi5ewnqdmdKnfY+0ryVMVuAwqzpjOdk9TI86ad/+q/9px/ovfbxFaaqoooqqqiiiiqqqKKKKqqooooqqqiiiiq+5fGhU5g/yqg3x6neHKcJOz057WaNCEBnDQ9Bsy1AGxQlhDnGeCpiKfJs0seie754V7gOQnC8GxnlCVTXBOJsnizx4ASaIxTf8SZIlLMoQx1E3yRnygHyaFo59XOMELAUH0C/HClwfAdL+k+A9KNOz6mbc63UQSDmDEREzg1rhcfDPWgSUMNr9+L3cffiOraH9Oi0B5LzCvRo2kwjizboxsEhfwvyMqMep5RSg34iaDVnzgOqscH1x+2L+qthelMHvq3gbYvyDnlWzStac/ZZ6B4rsdNzSt9/yE7oCrtBm13El7ux43HrJHavXl2OHeBL7YtzRB3cG0BjgJb0+ZV3Z8ciD+734/xffxjIks9sxX2kQ7hjtgKKz52hjfl4jsPj2G2ao29rXNSaUsNF2dXqopvj8JwdK81rUsn8IwV+tBx9qX7m9aHy08YinGugAWuaEgmYfnjxt4PngKIf+Uzxs3OLhhiOT2UeLMvZNeh0lGU8z/yWXbMEgV3F03E67qTJ15mouHvtOMuQh6KLpO8qvq2sQM5gA7SOqB9RVaIIpQh5jhQhEci585u8Y6c72qKORFiJjJISKbpIBNKL3UA+iNoQfWfdiPoTfXbvfHV2vMZzGCICsvfqNuY13l/Egn+XN+qI8WFbPziPeVEEoqiqBdAGUnu8V96kpRjNmv2e+ztQByLPRO6V0evrJXRRry+y9h5GOdJ6RcWd0pbPQk8T2ZmhUr2PqEr7TNnvjjGfT8qYCETRdVLmPcfyfO0UCQ5kNKyzbNx0S8xoROuel9D0vad9KY9oYfyBzHl/EO97JQTst4P6N19C3O5dXOeVhbuF/76YkxKIsL8fp2iPMlSuyBzRxb9+FKYYLV3DqvjI4qjfTY1GJydZ0ARxo0nO2w8DtfvSdsgXKA9jH1+FAvvuYfTZjQ2otymuvw8K9bwb8+jlKc3Yd5fj8QHI98dQLj+1Gu8dEYKGCESpqZqlaBIoxdc5+KWFuJfvAOerDEF2jPmJz/GHNt6dHYsqF3kmerKLFNAxKLdHsJPK5IK6GEw4zjXnEMkoM+JG82Ld8D+cfGL227+6+JW4v6h93t+f7GJQMiqml/qO/WPrcU3n2p16vO/uDKM9lMP4VI7CjIwXx1kMaK8yVPQRtOJNFNjm28XyMFugC+0nGgWJQPyNW4Go/YHngkZ95wR0Jm22P7BfYZ41pfMO6CdS+R/vRr1/+plgB+S+c1jDiRy+dRB1fXMVZo2UZM63L0m/lq1wJsJx2vSurzV7PYMGvH11f3acNxGNyzWa0vqR6II2/B4GKdfW4pr378bvy1egmrNGtZw96Nr16beLc2oHxtwyRjYiDedAb/pMWdnLvtuK4mOdQBwNGmnSaOSovLonN5ZI+uhYTIMnEnVSnsfxrTWLOtpz4wYVz/XO0QXUddikYXMJ/TQSQE7UJh+GC8V06RoJI/Ubx9zXRFnWWcboHqrNZoJkQIJkrNYa1zYp2+2SnGu4AClOrki9TR4rQXgvBrLGQGMShM2ptts59TsmqVcj8WjYH3QmlvorjdQBOGyS3FHX0UTLhs7L3IukZPfSxYd7L6dlqbYUL+IObt0lmni5ZDEU7blLxYnTweNYDN3qxIdXfyX+9jPrMfmfodXx/7wdsP//yzO/kVLKU8b8oDFZIeXR59tqx2Loj1//3dnxwTDK+BsnQX++shiLdSkpl/ndl8L2Wvxun7x1K2h+c6sXE659YI5634dGf452aZrjBcJHsfPCmP5QV2ZB7U51EvfVVaUfkqw0J1fjWfvPTu/FWB1uMhcCyx9uMz5yLt7xsxTqHGUe/U83LZyPZ2O+yh9+4DifNFJz0sgtlDss7F38Z4k19eN0YZbObGSyAymldLWzH/fhA9qP3FwypmQR/s4JdM3l+Hgp05PLPoRNAjhX+KFsWUycuBAoczg2/PiX9mny7z4f9GslUgx5GnW20OCjloROmU5kWT2W1bu0cKnbzqO9EldjF4RSpkwMmYSLc6P/vDZf7IBplNV7Trsr4Yr9AdyybTMXmHm37GKtyizsdy5i/L1f4tD91dOg511GZ0+X4NNJ3PO0hm5TOxYFPtOnFuK96mLTZHNGebaf1vlIs+4s+wjHdOvUNnCxqdaXml4mFsvGjTEu+d13exYm9Y9KZBa8v5R5Q9pymWO48ii3zjYKz6niWxut+ig16qPcAvcyTrxLLLZHq3z3siba3izW9jwkyaF+Wj6RXkzXvHUa/eGVpQs6pv37paVIYLa4tm7LHRIuqymSmcfQgO+yQb7ainPcwJCyahl0c/Zd4vvRROR842Kcn5CMuncW9//EUpT9neN4/s+sxpz0tb2Y89RP06G3Tz3qFKs7sxp6bk48Nx86fr99EN/1boT0psffNx+JrqOS99s/7z07O74O5dlNkMfnrkOirnPfH2yMfaIT9FznqP/3o9dmx7ogf+9SsbZlptPaz+kQO3eTrG1EHb1N29SXou9Jc74xF+/vlJAY6cR3i0ntz9yINn7/BJDHQowtk4mOS5PmZ1ParP0hc2ZOKf9NYpLKPvMeScb+ARIVN2JjUJdn19fv7EW7Xl6Osj84jms+g/bjKrII+9NEpNqJ5jvm0LcXWCM4ZbGD2zE6jcckKvdPYxyota+Mw/p2lN25y+Mlyi5d+d27F9/bW8yLpzheL3ajjB3G4e4ZG9rc5/791ZTS700DsaIwV1FFFVVUUUUVVVRRRRVVVFFFFVVUUUUVpfGxRiDW6pNUq09SE8RL6zcj2977FIhBqKw1EGoTdqYa0gw1qji+yBiPFqCFvovL7Ce4njRA6LjNA9BhXSg0DynXtmhArrMCSglzDh2LJ8vQqDGVqZNNz3bkci7Qp+zoiNwj2z+6pNMeVGXRljgNm9lXNFXzD52UcwYzoJ1GXdBO/K0Iw8kUZSoyS2frSTvqWrrNGCSnVPCeu+EYjozvx26CWfcRIBIp6xPhzqBDLefsSKSqCANc6nqn4NkJDS7mMb5ZvoTj2e3YyVpYx230UhxfXwc+za7S3bPV2bGub//K5RBEfjKlWokecLdR+uN//tYPzI6/dzuczebYeVPwWXShsdyWDkE9KQbMdUQd5hzYtkEz9S/udf5e7FQufgL3UNq3wY7gCLSnyNa6iEJkA6TASxWul6D4cn3GsUK/PR88vRckPXqCC33jlP62DlT+bRCWq+zkrzG3iLi1LOxkTXR5n5m7fOy8ur5t0a2fp259kkOxdUqMMkYF9FF3uqUPS0G93lXsPc53d1TKkeM5j+aK+/+h1UAKiAjzWIRBe4rc0MTFc0VhrNVjR92yiFh3jC/VY24T4TUooXqLBhQdJipPMw8R4Vn5LW/OrIV5SNRYa1JMJbatbQOP2yDx7g5wtARxlvvbueJdZdGOGZVcFKF9xn6VpwdH3c0XULdSyqPv1ktMYr50FtIV3jfnPl2CyrVf2Z+KQiqv9xGV5z3P56OOyoxWjDK3406juLyOYdsj6+ePQQgamrJ4H1F28wuOQ0X5MVECuTKm7DlqOnUjCqpb0gbWZYaUcp7x3/0+KHr+lPLInL/73hdmx/+7na8W/q0Ixyq+/dFuDlOzlUePiW6S9toG0adBytpczKlrOM5+9SDQcpoo+E0pyitXBmi7WZ+x72gM6DVE9+VcVTnH+4vyLzMwEqmfR8sVSxjc68U85njKUIV+x0vz3IV9sNiMOUEU45PDOKe5FnPLo+Mo1/Pr8T4UnSVqrMf6b4N3k2acPpPz0lvnF+36YjsQk70SqYZPdoL99Fu9eI+IsLeOnFtEYFsWza2MP7LxemF5bVeRj5m0wmPYZUPa4y7Gj59bCwS4a21RhKJD13eijA/P4lvFtj8dFptklZ1zeT7m4/ePMTzrsnacls2/c62vEdL9k6XC39dA5c3hsCxzTAMfZQ5cZ9nfpBaLfLScvenxKujCvUm8A0XT2sc0HxnwrE2YmPcxhmpqYEvdPYH6b57F4xwim+ewDi5v76evD82orJeHvx19Zv4lzPuGGN1duvh9dNpPwTX5xlEhEKuooooqqqiiiiqqqKKKKqqooooqqqiiitL4WCMQJ0etNBm2cmidk5tokImWEVEo+g1zk9FGsR7YZIrYaz1Ew+AG5/byO2uFZSVVqzZiztCE3xuUUa3BwWqx5l57DlTGgggRNCGnmf02Gozn6Lo1OuqxYeaBbl4HjTePDUU9TwcgLHNIKirEtgG1KTprshj3amhOM93VyenNYVKRMJfJAaao3zE6iXXK2OSaeE2kMWiu5h5ossvozJ2BOrQf0jbDbEdKhCK6i2cn0TdzdWd98ftCJ9r1CpoW3ZtxzSensfsxGsXfqq1waS52Cnf7sTPzuw+fnx3/kRtvzo4z9MNvHN6Y/dbG6ODVxdgd/N9fC8SAyJW3T0M/rclO4W89vDI7vrkWu4mWa7VdLEK/14vdq/PcLhWi/Gfx3KuL053CetTR0SlIBscnu1GKgYsQ1EBoMBQBXaLLSbt2343ze89GuybMVeqaKy0xX0yRjBrpJPrj2OmKZ+pvAOcC2aruquNmxJhM6G8611bxe4/euJVq42auL4v+Ugct2/XWiEQTENFvRhmSqkx/z9/9WxF17vCL6BPVJKLvmfaFDlIRivLr798u2ekXhSWaw3O8fs6YpuT8vPlI1LXP5DlqMmbx1bOYt57rho6Wmm1q2xi2dR7hFWUUSSnKQg2nbglqVZ3JMlRGFmprLjVins3rBUbblN1nA/SmxinWo2jAMiMX23JcE+n3tFj/aFI8D3lttf1E1hoi90QXOg5y/QfDBo167Ht9DbPUAqYv/crhxfv204uBSrH/eE/L/sJ89DfDOjJEAKrB6Piw79vGOVMg+u2oYIyK7lkpMYiyTsv0NP/wpWA/iLIVOZYzE+Jb5PciEF/FhxeP9pdSfdBN1zaC6aJWepsx8/7+6ux4AELmk9uBRNOI5OpCzBuiZkUDPurFe2e1ZN7NDJLm1OmFAXPrOFBlMmAeY3jywlLot713GueL+L91GrrblvcmplCn4/jbMrT3tW7UpXPBdudiPItQXMRo64Rv0V0QXm/sxTe46wr18RYwr3iCJt7NlZjf759GXe+AZnM+6ZbMtfu8v55tX9TH33scrKU/vfHLs+N/fhbrkT+2EOuKK62oF99pZSZS6qtq/phpF6aU0vO8w0WHqrtqG/zS+6/Mjj+1eaGleApqVZ1BTS1+fTfQkzcW49qP+1Evn90MhoSmXiIKZWKJ6Nujvc0NPDyINpONpsnk/kn8baavd85iQoTePP2kNyj+dp1rq8lbvBZVR/DkYdTBBHbXtdX92fHaXHyjDMbFeZnutJ5c51p3d46iD7z7MND8L13mO+4gztlYCBTo0X6MiaubUS4R1q4LPX7/LfrbS7Fmto4df4OpweetRzFXfO4aGpegRxc+EWUxTyBbdHVad8Nx8ZqhKD7WCcTUmKTUmORcaTW+kFpYlwILlFjdZxfwjSMWINME4ggzE6PeJSF5BH2P33P3IUl2fhl6sEkijTUwzWiSfBhJ1YX+WCYkfDalaOZcYymLrsoZnTOllJYW4mW5tx+DeHUlPgJzyU+uv7YQ5zgB1KFOm/DLGaDoUMv5DROk0/qe4Pxq/TZInDTXoCPsx8fmwmZMAEMSTQMo2mm9OIkzWnaxGeEEp4OzBh2DjJZMNzERqnmFlGuTrCPq+mgOgeW5aD8nx/YSZiJM5idM2sc4WV2dj48zr/M1aCOfmxqtvLhQvHC5dRYfJn7Urbaib+x0NVqIOvrlk+dmxw/a8ZLzgyUn1Az9Je+ahfsX8PMB1PD26sXHTu0SlMdDBPlpU5NzbZJqfSbkJqZLbejwRm7uYr7obcnNjEMNoMbd4sXQpCCBl3N+18TFrDoJwVxCXhfxkudw3muesilSm/7t2cf7VfNRxvG4k4bjVuqy4O+nqF+TBW9PP3Kvd2I8mPAoM0XxA74xibY+hiKapxPqfMy7NEdzLHYY/t1eiKS/Nh/JkEGJIHoWJhOkrureLq24zOjh7bNYsH3fUtCsfT7/1oSVCVjPf68fH5aXpmYA1oUOwSY2btBOvZJEoeE9c9Q3zWN43+eom1RvnQ+KPGWMxen0XaJgvP3EZOIubaChi+1eRl0f8MKz3suSwYblff0snIxdBGY0bg2E/A7KU3+Lk2omP8vcTm2zskSk7SGV3sWsRj26ZT8zd9FXluqxKFprRduZxD0lKaCDdc4Yh6GqeYPPIf1bExP7tmPLfnheMp6z8eQ9ra/XT7dnx9+1FLImjvNxI+5puQz7hu10gwTpB6VmVfHhxnOXHqfmQic3Dk1qGVdW4pvTbzj/9km/eBPkzf2Yl9vrMbY1gFiHumgyLfuOvHNq4i3epQ9P4p4vLce3rsmPM4xT3Ah/h6Sh1OZLGAw59h72Y9z63H7rCtTQ3OnRYHF6HyULqKPj+B5fx8H6ynx8g0urlUZ+Niyel50fTNC6lvjSWTgAu1kkPfcfHX92dvwjl34zpZTS9y8HWOF3+nGNl6Et32eecz5zI0F5j7xxE6AY1h6+J/75YaxDDM83NkkqPe5dtMf2XLT1ZIKpDsnoFcAQmu0ckijUqflf3o36+N6r782OpezaPzeg0r6zH4mn85Lvc921BRVlySaBGdKjvecAKS6TfY4PqcongI42FqMetxaj/W595fLs2DHRq8W99s/ims/h5pw5S1vGI8xP+hiqmAT0nKsrxevihWcjgWeY0PW+GjDdeCE2SEwa6rxsQjVLXH5iJ+YinddN4hqnJHQ1y8wSt8PzD77JVlGYq6iiiiqqqKKKKqqooooqqqiiiiqqqKKK0vhYw0Im9Sk1WKoKWe36PggujENysQRy7wmIvpaGJtP/41xpxVKJRZ6JOhy3i9GLTajHwllHJ2SJoeHW1zCGAG05OIjseGs5zhmDXjyfor9qlHH5zfj3wyV2l6hTCVpLS7Ersvs4duREGK2/cD/KwjNZ3jGIqMYjRF47UMYwexhfi/sOpUtOEZk+U60ErSci7BxUYE6QFcRZ+w4oj1djd+7sFJH2knZtgDQcD4p35msHF3U2ngN1yLk5mjV9rH6CoQq3H4ECFYY9BmX2iY1Axsyzu7rZjZ0eod97g3jWrU70hBvziBNPC/FwELuAGqFssct6tx/lMu73YsezB23kCzffLjo9R2FxR1ckhmjEd/vRrvtPot/mpAKmddygn7RWincY263i308fx85mf4O+B825fxxlrO/Hsw660MQeYv6DiPWE/jmx72nelBXBf9fACFTuhHsmxuTkCfehf54fRdkbJ6CCe3HN4RZoqmyebBTXVxVPR6s2Tq3aKIfgEumTQ3FMd8lFAORNTkC7a3IAIi23I1qCWCxDVeXLDRIXdNTlduzWin4bpe5Tfyd6oFFCrxU5nTPVoIwPzxF112SplLZc3D+lXz8C5bCIuP7XTi+QcJ+Yj/eedVpmLGKUoUN7Oaow3wcle7+iT20n+4e0T1FhCtTHfaL/iD1ZKjF0sY81ctRjUKtse/us0n0NkY/Wk/SxItSJfVD69TlogLJ6tJ+KcDrjd/ue9e6Ys/3yqJdiWqKxMi2zaL28EYpIzihXDlk7Kn6OhxgprLXi3b9YYszSp/9Io7YN7kLlfG4uvjMOpu1XZr4kFdM2y49Vvy2ijBogiO79IPVbxUcXe2fzqVnvpO2F+BZ82ANFyDzkt6gINimzIndEvO1w/WMpo3urcd9m9KXv2glEfBYio6QeLnfjPqLmBswnd6ANvrZ2b3asQcnt0yjLGGNOjVn8jhW99MxCfHffPonxtsD3doaKexuk4eW5YubR2weBQruyGOcsgl56Zw86Nd/GmlC8w3U0b3h+DaMVvv1lIq23o71lJWVyHI+hn/veqZcY84mEE+n9Shd6JyYnd/qrs2MRhUo7vHccdS1S871eXGfdeZS1VWb4c+8svkleWQu02cEA9B3t7u+idd86DJTtF66/MzuWIt0FOfjWXpxve2wvxvO5dlzGwOOoH/32+tL+7Dh7x/XpmyLlRDrKYDRy5i5+03ZKDERA+rUux/UPQQY+OOQ90cUgiHnk3uFFO4gcfHgUc9HlFeS/mGcOBlEXymYpp+W4uX24morC8eEYsv40jLJuutDEMyR1ziwFkyMRo86LTxpR3vv70SczJstoVJIrK4iPdQKx1hxf/E/HYGifUhETNDz1DY3JVpyvlllt6pqqY3Mb3byBOoLH0Fu3aAipuZRliKNdirko1VmQN49IAiYW9lAepcmq49dSG3EaZ8dxjYNX4+9qdNQWuocDXFUznbiU8lTo1gYDigSbUN8xbSPNcrhC3bRIYmzy+/sshkxQTC8zYUFcG+CcdB8K91Vg3VA0B9C1m+hcypTpA8M2GaPG4ohkZQ39RtcogzPKkJ1vf6RvjKXA+/tqPH8N53B7tfSGfdrjEQ5QS+1inYxVHO72eYl99SyoRi+vxgtwrXNxfkadSCn/MXTOB8IGL1nL+LnlIBepMfKgHxOcH5z76Bt+71bQnkyKev2UWPRcjo+wHMV/Cu1u4Z51jgaPc0KdRPdASQT679A5R7ctqdCrxYmL3vMxFzV0c2YeWf8X0ZdOgiWaBtcuzmnej4+R4SU0DU0aosGayAu5gaKcgxJSozXmDvp+rj9n9VuiR1bF07FY76W5erM0QVGk15fToSOZ8v45H/98HN9hsb8DBdUwudQvSWSVUWxbJZRnqaHZYuCYa7f58D0l4WISRSqSv5/X4v7qEs7PF1M5TB4dDKG46RZZ8hyenyUOrRfnlTJ6dC7pVZKozCUNWcyaFGmVaAraZ0wwSZn1Og+mSVcpoiaFXpiPOd9kouVaoe5s6+utWLjYT6TsjnJ1xgJaujZ9Uq2r+8NYKGZ/2yqh1NuO9jF1+awjy3tg0o5vN/UNTybQoVgoO56l55tg1nmzKPFV5qruRq3U34xe//XPUZbU957+fpuFss60DwfxfnajsEiTco+kZY72nnP3LtY6NRltv/ZYinguEVnSf6r46KLZGKVmY5RbkI9LvglMyBnqf0lt3ifJYXLHBOLWMnpnXMeNnux7cb0TY1nH2w0cnr/0JOQTlG/6ru1ISL5+FLRlEwvKAh1ATb1zEnOYbtIPjmPMv7ysDiRgGZ4jc/i1rm+RbDykvpxvPF9tRBMRn1yP+9/H9XdrPupXqrcOvDcX4h0gwGCPd2nLdch0TnUs+15X71fH5H928MLs2Odz40HdYOeQB2w8Op9893qsT9xw+Z8evTQ7XlqJ6++TbMoSiI9O0U6c358dK990F91K6+6l1aCprkE7d3NUp/qv7MZazb4xLnEv3oQeLPjEsWKi7r2p7t7qcowVNU1NeJqo3DuLtlYDWhkWHYiV1lIbcQ4dv9uPo2+vAHBSv7EHLXl9/qLMbkjoCO1zOMZ0XnZjIwdUOYiyPLsS3ydvPIlkfhfwSY8kqvXx3m5c59ra/uz41uN4D2ebKHfRY1T+QbmBdolmrM+0Mk1IDicfXAOxojBXUUUVVVRRRRVVVFFFFVVUUUUVVVRRRRWl8bFGIKZJLaVJLe9qvAssFrdcqcU54wCMOqQHD6UQTxE1mnoM6tBIv1H5smvjHKwpikhDDTwmoHgGWyB9QAw1QB1Klz7H/GME0i5D/TUeQCO7BDrjVPSbyKi4eB9EVpNnGjyMHav6TpRd19821OoBVMgaZZRSOoQOOhHtZPtlyKfz4t3Ms2125mjTFmYQw31QoIsgyJZBA9yJ51t5DyTKZ+M6czjn5hxtiQmU2HF72q9ANOo83aQvj+aebseUUo6mOtZRl52Fbid2pt55J3am5tbZyaLPXNnanx0/v4y7GjSi33oSkLfF7Ys6uNaNv5PqJbLkq8exc7vNztsn50MQuVOPdpfeIHrnpaViEWt3nddAUnbY9dlmt1SB6NtTmouw+S5OYRoLCfkfvBG7lhOEu0UajkDxOm5Hovuk+Et7Z5yJ+j26qXRCnJ7NaUP6cp37TDAEqkOJHnZBPR9Dc26D2nCc4R4+ApGpK31m+qKxURXfOI7H3TQcN0udkg1RU1nkEDc5xFv0O1GHonLKKMxSBXWLFAXg+f1JMWJRdFuGdhKB5bm/ehzC5d+7XCxl8GuHN2fHry0F+sM5QcMPI2/yAcoMMXsNKbqpmMad0TEbmlGM454iHESQnZc4ZK9AtzVy1Fjqdz7F9e0PukiKcBRllrvOtJx5qnTxuM2h+ESHpphbd0DIiVLUQVqjE/uMzzHP+VKefR+IFsn66gvdQMuIQJQ+6zXqJei/A8oohc6xknOH5liknW3gsc89X4u2zBCLuXkAFHEZslWkjfWiM7gmP2tQueyfzh0yB6wDadnKk4jizcrfANVeVvacyzX3sX5FRnof27jM8bmKb0+06qPUrI9yzqDS6gzphpe60b4D5lQRfaKElLYRYWWIxnnci2tmzsrOA1eXYg4zRBeJ2DIsu+WS6np0HuPnGVx3ZdtcX96fHfsu8bmHyA59+eDiG18XX+miL63G2JdhZBmld45ARlk3B7CARKppICKC7J/ej/f5i5TB+7qGyGjGogUdy++dBDX3xU7M9Z9eDKqy7ykR62/2Yx203Yx1yCbHu6Nog9w3DO9n38mNkrpZnpp3dqnTId8bW+3oJ4ZUemWdRMhpPuLv9hmRiV/djW8CkX4i2KXJivqzjZ+9dLEuvA1Sbmc16s4QdeiYtI4uQ58X6eg7qM56athgfTKHES1tcGkJB3D6f/asb90LhPC1S9E3pMaLdPb534XW//nLYV7j+DAuL4OM5vlkz2qcsgON2vlKBmjWNhrVijo0n6QUw5j72H8z5ujorHjeLIqPdwKxMZ5qbEmf49/RwmuSvNK9uHkA5XgJ7TwSe9nl6cup8TAGlvp8Iz6S6lAhmxyPG9BOOT/3woOqWIcWWYN+7GPrpmPywUTH7Jt4m6QhyUxdZhtNE2Dx0XoGLFjX5nMSXD3K6DlSQG0bHW0nlKe2DFWZgZzQXpsl32RNmriB7lwjsaHWoJRnk87W6YiyHz5P4obyDlZKtDBNZJOAyRJM9rXaWrTNBA3I2hJ1QSLU+6gNecKHvXqdm1f3Z8c5uhTJpr0T3OB4yTyzEJPs3DKUymnbfO0wHMGeW3w8O3bx0e9G3/elrFaJWilqu0idUoPmxlx8YCzjXOaEfHk+XiZ+TPmC6E8ThG30CqVvdPhdDcRBDzq+w4lE4fDYDQkdkTmECq3u6WTOgR6HwyWuo5zB4UUdj+h3Sao7Lw3Hh8nB3O+UpYlr9Px7aG29wPk4ptemLy51Sav4xnGpeZDmms30AFqmSYQczXAqeLkltQfqqEmOMh3DFr8bUmzXoXSWfUxbLhOLp2jYmdzIEnXPdGKukNL60kJoCqqDJ81xuxMfWiZCTYSoP+UCzChL0BomvvJadBflySfpipNROfdrznFhZFIv1+7MG61xMY3c53i+G5ssZRqa9oOMHpZbQHf2C8/t5NyZ43eTOJZ3fxLvlDZlNMG10UCTibp8ux+Lni0WeHl35OgfmXaVdeeioIzSlaPjp+KPaJ+7jILeKtGENFHmvdR+tJzZmLZ+y/qvVGJpy/skw3VqN0kuXdsoe1aTfyY0fc8XlVONTWmJJghsx7LEn3Wad4GO35VBqRKI3/54993tVJ/rpoXN6CM9N7mRrrg0b9IwzpF6a6xC6RySZDS5olusyTEph1kiUP0xHZuvzcX373unkUAwyahbrt+W2120GZWtItR1vPUkrv/Hnn298G/VJPdvMxp3jt5K/erOvDAPXXRYTMvcHcdcYcLxmeWoD3UapYC/N1ydHf8rO+Gm/JXDABK8shzved+P2bx0qx/0TzeFpBL73nFTwb/1PXxO3axCf/adYQJRrVc1f995GEnMP7L1xuz405sAIqZz5zNLcQ3XJo2cxm48xxt7UfbPbEVSVH1Mw/ea4AkBHJcWom6UgfLY9/Y1+vZyK+omo69vLKFXis783Xq8j7ZLNgoen7khEP1Q7cBlktdKGJTJpN0ioel9nTuyuaAJWEn9QdvjMZqCc4BJTNrt9tFDpV0d/2pJNkpo0VKYBbFIZd/bj3tlYJIsmfv1f+d61bnWeXGl+3RCctj45t/CWVSruiqqqKKKKqqooooqqqiiiiqqqKKKKqqoojQ+3gjEXiOlWiPvdrwqag1kG2Ad0T3S/NKoJJ86RQOq+TsZQGfEgbgmcBG6ocdSUEU15kSFS87XAKH2ODL+Ulzr0I+ldzenxiiarAxFPd0lS75JlvwQupbuxSIKQWq1OKd3BpVVWiaIKanhOfrjIoiv9zGEAHmVJfzrGpiA6ioTahaFVfc5RCBTT3VRihvQqA6giy/h/IcJzRj0mSn77oOLwvd2QI+JXBwXI89yD1gCmRbldo7rb49dCWMBUdrV+diVOAJufScFIkoh6MxF8erGfuG1RVA86ceOzs2FQB6JOsw5dgK9/uphIFFeXg50jWYpqyAQFbB/5yh2dFfaULDYGcqQh6d70DoYB9bR/kmcM7gZ13NXa4hpkI7Fk8Xi/jaxWedALIve05sH5OqY80fzT9Pnc4jYEtRxDTr8BHqy5krDBehCx47bsrlz2t9KXG6reDpOx500GTdzqEIRuqL4MmRQPWeqgaEWE84HcVX22lIry6isS3V2MEtcdPMOtcgDTMsgSkqkk0YlIhMWedeIQnCe0UHR4zIUXRkCcZyj6hZTJzPU1Eo9dqWlK/l3ZWY4Obom72yRnDknauZ9ERG2vfRgy+B1bO+s/TTneIxshXUhbTqHQqNeRNa1c0YvlDeNCs95axBzvdQzn0lEiWXO0Cgi/soQmLaH5+jiLcrWPqa5lYgS+8YuxmKNEpqxzzHOuV5f/K75iuPHsm+2imlweXOgYjmQ9/qBorEflvXVTg5Fi/wM8itFKEzr8d6oGHWZ778a3MTfztf6hef4THnzmI/3MucPQrzywp3UWmjnaJaGCLYy6rFxZSHaVydhEVNnusLOR9/X4EKGSYbO+urdQMfNXwl03FnO0RypIfrdF18PSY1XbwZqTHff//5WGG98eiecmo1nNgKV67vpS/uXZ8c3l+KcUyiu/+ztC6qwtEwRipZ3he/lNw8C8baJicvjo3gH5cwuQI3lKJIyXJyvQD6KOlxp4kQLAu/F9sU5vq/K0Ii3BvH7p+bC8MTvk1uDoKwqpWL9PhrFvP9iJ8r4BFaHUhB/+OZbs2Md7/cGzLvTbxTnp3dwUpZBpfPya5vRN5z3NWD5yn5QsaX13zuN58hR/CmDDsC2q31FU8qlAgSi57qmfh/X88W56CfKFkjfvXsS5TUsl3OEazERxS9uwmbh+puM/+z82lr8uwhF63ECHX/vrJiyr0v5zbVoS1Gdc5zv9V1fix6UXu7YWmBMv/fWxTfSeCvqvQPSWCSwUg0itnWWzsb8+biY5VAUFQKxiiqqqKKKKqqooooqqqiiiiqqqKKKKqoojY/31lzt4n/NPVBgVyJLPlEsEvTbBLSeBh45FM2kBJU2jdYxqEA0DdXQG6EXlkMdigYScCbiTDTkGXpoIBCFO4oeGot8wjxhvD1FUnJ/z00gl9wdaKC/N8RoRY1A0VOaxNTuYYSyisEE2o+JYzaX0+QYzZxtUDW2U2ZwAwJxNM+1QX6JUhxTj6JWl387dpEOXz0vPD+HGlsEPQj6bIwpyURUKnqWg9WLC034TVTnhHLVdtG9WKIeRWzarqAnOysxJozjRxggrMV15tjdySzvU8rv6Nw7ix2jDIGo1lBeAB3EB5qGr5/E7pkxh+jvaiuu+b3rt2bHIo/UEssbFsSu4efWw2BhkTL8z/0XZsc31i/u9SZmKctzCthH+3bajHnaTAMjx/B4jbbURAk0dM70ifliDv3W87fjmXL6noeMy+wayyB9DtB6VF+VMTbpgGK2XM6XlJ3N4tR9iH7YAujptenfstNfxQeL3O49WnGiyTJkkOiiMlSVaCE120QUeW135tUM8poigNSz65YgTouQSaKkxswbPpNzy4Nh8W71lXbszop+c/fe8HcRVt7LNhAJYd1kqDT/TiSZCCiRnHmNOYTAU9SpKFTLUlbvhsjE0xTtmkOZTdAVmqIdrQufw/vbjkugw5ZqxfPlakOUCd8nICJ8puut0PV5GzSixiyHoAFXqfus/KJZRKKoLdqawBpgfNxox/3t77ZZToAcox4RiGqWqUn5eBjITtGIovGyfmNfuw1S/8W5QOCI/l20X5WYIonoO6WM1pmhZqFzUdlcM2Z+cU7JwnYXZasGmdf+2mmgwq53A+Wh1mmpwU0JerqKjy7ajVFqNUY5FJEhWkaNt8Um5kjjmPd3MOD7ta8F6u9TG4EaGy9Fu29iaPLVvfjuFIWV6QR+8mogv0RMymi5uRDzw+3T0F377hfjG3UDA8CH/einqwuYF7JG7VM3miCKfPz0WmjrqVmoGct3P3OBwNtCd1E9RM91fhfVKerp2tr+7Pj2k3jWua2og2XQiLv9eJ+LqjLeOgk04IuLMS/+b5d+d3Z8qXHRZr2cIVu8d3zvqaO6ChPgKIlijt/9W7UO3+xF3/ghytJqxnunwfryZjfMYIyX56KdMsSi7Kgfvvzl2bFzaxtE31Yn+qwI00ttmCndGBO/cSeMLT9zJe6vzufOYvztO48DBfnqTowbtfs08HCdlWk/bq/F9TZArTYZN5p5PDqNuj7BT6HVjPO3KaPowvfQRhRR+M5+IADn2/HOUHNS3fvsWGRmi2P1P+uYQ26gjaou4QYoRf/2wZfju+WV73p3duzYKjNRcV5YAzFo/b32yoV5iyhG778AevRxKtZp9NpZfUzqH3yt9rFOIE5NmNP5ZnSyha/GhHF6Hbi89EATeH5b6G4rNTSjELLARpc9jUzoSA+E2myTmDAyGeZkm0s48qFqslTn1fG8ZSBRth51M5mWR5q1z6mhi3DkCUnA+WeLIcgNElbHRyQNt2OibjzBeGaVGqG8rUMWdcvQYzS7KaBojuZIQlJ3Jj/GJipJuExov6PnSa7gflvfjfM7dxBAf5bJRnF2ytA8pOxdyjbtB7WcUzaTC/3EftpaiDZd+hVg869x7ZMo73AzymVCbP4qtOU5aFrAuYV2X1uIl6ii0FlS8NePnp39dgU3tVfnInmn4xlzWrrdi5dALiFIss9Ew9tn8QHyXYvx0eYC7HePg2qQJTlTSmkRMxbNVbKP2/WVeHE/uxwfJsL/7x/Ei7u/z2RAH8iNMxNvdl9o7ybkG1DjV69G2+w+y4J+t1hUfLIy7R8m+53y6JsNNifG0qP7jP/F+Ielt0lifII5pyTh2MyMgpxzq/iG0aiNcwvslMqTPtl5Jgf8OD7iRaUhkZToMnpiLnmF0Pg7/Rh7js8yd1sTb90C8437GEBsM8fcO1+dHeuOaJjYNMF1G1rmVRKLuUQkdeBzmFw1CWfZM4fIlII+a3mLTFZSSmlJF+GCZFFK+eSKiVCTYDk6s+Lwk+L6MMGWc1kuOMd62aQPlNG8O5Ql5/qNa3UjFX+UOtdb73Wozc+2Y5Gmkc0l+kTe4OaiLcsSx/kNJ+mwQTmyfh8PimncOYfuEiOiy+3oz2XOw+OSxGy2sDXBt9OBqs3C2qSlkgAfxBzIucXzj3PmLcVO6ZqxmPwzsnPu9Fdnvz3bjeTDaknC3uSgz219PSAxs85Czjqzbqpk4rcnhuN6qo3rucXuXLN4LjR06JUGmHu/sEHu4nwPs4DVdsydV3B8HRYkuEw2PjyL/nWli6EECfj3j5+dHV9bpJ/S167PxztIV9zDkmTeFskYTU90W3ZzfQ4QS/Y+X4Om6zfvP7736ux4Yy2eVYds6+jSHHIdi0oGQAHFOVsKut/PB0PouctB736pG8mrHd437YJ3xrOtoKjeH2G2yPy0yvGdYSTPtkq+IUzEfno+HHXXmZf+++NPzo5fgNrsO/nrv9myuNzeTyml9FYvEkpusJ5OkPqA6u7G0q8/waDycrwPpYW/ejnKtQjd+DNbkUxsMnfXL7nOiuu8jbv1DfrtY4wrr03lqhxvJumeX475/Vfv3Jgdf9eVWAseQp99ezfuWbaZ4BzhObo5K0/lWLktpbr7NEVXQyAlEUwsfmItEt0DzIFOBlFG18iLz+/Pjk1WlsmqaRKje/mQpGBOGmda3zep6/sAe6wvE8FHjNWduRhvv/P4Qh5hdFq8IV0UFYW5iiqqqKKKKqqooooqqqiiiiqqqKKKKqoojY81ArHeHab63DDVQLadPoNd/W1g4DfZIT6F9qnRiQYlUF/b9y+Ohy/GbsNwDfQN9OGE4cGE3+vcU2qjm+Q5CjNRW0WEHiqryLmcYQuoovo6GfmMXinFGPRbfR8KynqxaUgZJL3BzkmjxS4H5RqsUi6eYwyl0k0cKZU10JwJw4iZ0clpMTKzjqGLm5yd92P3oxebjClBI61TN6MNdoyWnqZQp5Q3S5EC6kZazgQnu779wU0sIGn+3ViR/c9QFyAs27T7+O3YOTp5ETQQhiruimzNx46jcOe7CPP2gNQ/N6Vm3ZwvhvO/3gvh5zKjgxfnMEVhd07E0DPQyqRFK74vYucPr74+O95FBFkUwh/d+OrsOEM8/FYjdvuuz7FzrPHETtznvbnV2fHBvwx0VuOTseN5th+7ZIIgumuYvhxCu2yD+utEW+5h3pJHTMdhZr5TZx7obxYjUYbICmjaI4o5MQ7OZJ1jhCT1XsRtI0MaVxTmDxx7w8V0Nmzm0F9l9NGMKui/9xLIpEaMZceJSMNzEAOis0RhnUxE9BSbMZRRgr3OqMAEwrEvqsod+IMyVBXTrAi2nemuf0r5Z/X6Up4N5xCRc6IKPc5CRJp0XOcezT582Q18aZVEGUoxf06j8FgEmTRVy5nVq3OuKJOye+ZpslHG+1CFRY4YJxNoTKAOpZXZh8v6le2alUFa+CNo7yLSpNoulNRRHqEXY88+KbpmrWR8eP0W16+XGKFl7WF5pT7vQf1dhV6VQ6f6fZIzJwPJzstjpV6MUrZPdEso0iJhG1Kzpm3mOJf2XoaIdZ6RBr3C768uBrrGMZmjlKeIMvRHFR9NiLK5vrA/O35wtlRwdh4BaOyfx9jrtKMP3j5enR1v8x17n+toYvA7t4Ol8rlnLtBR0n2lMO+fxxjfaMe1b0CVfHgW89bjXpTxynx8Czrej0EaiRLyu/sxRkzK+zhupSVnxhbvngWq67n5mH81X3nQi3mxDJm5CL1U8wjZSXcfrs6OX7ga41wE2VEjztfkyHlmp7k/O16Yzt/O0ecp6uVSI76P/sfjV2bHW0tx7Q3eHUphyK5wLvricUgarS7HnPdcJ57pvz8IBOcyyM6bnVj/aCaWzZEi4r5yEmsi2VrSnH2nfM9GICMNjVs0PLkCYlsDH+dR214k4cP9GCudS8VSNI+OL/rkCxvRr57Q372nRkE5ExdQwddW96OM9JkD+tjjN+nPn48+7PrI5xAV2+/FNa9PKfm+CxyrTx6Dat8A2Y/BzWKHbwWQl6KIZWg6tkUgK+lw94BxsHxY+PtgEOe/sH3R35yvHLcHzFcPT2IOESF83I06yoymhpMPjkD8licQ/+P/+D9OP/ETP5H+3X/3300///M/n1JKqdfrpX//3//30z/4B/8g9fv99MM//MPpP/vP/rO0vV2siVYWk1E9TYb1VGPxWscZNJc0lCbqWp6F8sSP5V783n9mOjB1Jl1gEYfWYcKJTgqsyUFpy36T98+iI9bQ05POnJaLE2KTo/jbySZQ/0RME4fzb6AH8DIFoOxtXhp9kmF94N4mLQcNdONWY+Lt4VZt4takoYmL8xXKYwJRNvow91QppZSW3mJQPEtSFOrkSDfbnKuxx7Qfzzei/zQXcGm6jd4H1OoJCaDJJjTup0r+dX0jlwilP9KvRzhC5y7YLF6IDLdxU3wcH9ZnJFdHlGGeDzIpCE58viDuDVYv/r3uv0MBg3osXUD60UY7+sz1TiQKdYJdr8dkrr7WMtSp3+2HDkjm4pZS3r3tmU689PIOsRd14HN2SyiHvgjnqK/DV6D8MYbG0GxMAOsyVtoPOR6cMs7duGCM1o4u+pBU4oTEwfzr0QZn2/RZNiTGzovMb7mEI/qJzsG5XEjt6/7/D0B8K99pKV0sqFu1Wk7rT+q/SZrsg9AFvlTMvD4eHzEkGU5rT2uUpZRPaklbNpF0qRXl6jIOLbsaZz5HEf3aBIbJuxz1GVq2SUvpxmM2X85LknNltDk/stUOnC/RGhwVJHHVNTJpWER9TimlQQ25kxKX4LKy5zUW64XHnpNPtrFQnW6gXCb5Ko1U50r7lde2z3hsotB68oP7kH5rErebSwCTcES/0H6QUXi3cCTUaVj93HWo+ZZFOrp93HY1sef77uD/196fB1l2l/f9+HP3fel9m+7p2UeaGe3SIFYHFATmG5uYX4wJFS9xvEUQ23JsgpOY2L9URNkp44ojO/6lbKhvORibKmMSm+ACgQQGAdq30Yxmn56Z3rtv9+27L+f3x73nPq+P+hwtIM2oez5PlUpnTp97zmdfns/7/bxbmg9uVOlIpoOS8btobjskNZjOSaaL70769KEGDhZofL8fFZvtJIRTTiNOqjEu6fOuY53jBtuvn0PbpHZTrRtzEJZ0fjR5psuP1m7t9Z3XwsG2hINtwzHGmF+k+OWxFjy9rus2ghdI/d2RxTjKd6K9nV/ScffAiDqDxocKm9J6CVTeHJwTD5+f1nfv8h57GINsBU4JOh/oOMmDckm69jTo0hfKmnY6EOkgeG5JY4QeGuyse6m8+syCOqwODem6uIpYi4w3d7GoZRDNaboicKiybOYj3g5aOitIn11taNoYW5L04HPNzpqD6/gsxra5ln6TjjQqKTNOLseZ0ZCWLx2xt6fO9K5P1rVMuSZ4Z+55TSPUn83xbfNYxPqlejHTNRXTucAIZ4Hx3WxvWmfDMcRGRFiY/UmNlcs0nlrWtN82pg7Kg6P6PPPBfchNo0pBd419j7T7BtJLJ+qxFR1DDHV2tCu2t5tu0bo5g7iHVFJn6DU6FieG1MnvxhedRRiqPsQlPTAF5fWm90FfNurtQOQBwjicgCwbOno5XozntE3SEUjF6euHtG6eW+iU33Ic8Q3R3xiKbHEu37u+cZ/W9dMX9QBlKN9ZzzRfuQjz60thfuSRR+RP/uRP5IYbbjDu/+qv/qr8n//zf+Tzn/+8PPTQQ3L58mX5sR/7sdczKdasWbNmzdoPZHZOs2bNmjVr28nsvGbNmjVr1l6NvW4IxI2NDfnwhz8s//N//k/5z//5P/fur62tyZ/+6Z/KZz/7WXnnO98pIiKf/vSn5brrrpPvfOc78qY3vemVf6SrwkwaaaDhI4QCFB/VcuNn1UtbGQOVIkF0Quc6PKen4s1RoPyo9IvvtxPe8F+aoe5LBVdSCEkVxPsp0hDMwm2MnxJF55ZTeb8+m31C87R2yBuRFiBisk9/G0sCGQD6ZQwn//UGVZ5BVcapQeJ5rQMI5wpE16SV8j5dji103k9BB0OYpqAnR6E+nBqMg/7NEwzQkFukXQJt1aLwzDDaAZ5v47sBH/RVs/utWJ+elDSK+h2KpTgLpHyjvSe9kbD1Er6P093koCIYoqCa94ECxZNhnpxOJrX8CN2vdE/nLlT0VKgfCnS5MOhK+GYKCntEvayCfpTCSc/TFQ3G+zfndaH7/73ui71rBmQn0mZ/HMp6OAl9oryzd+1SVAoIvt1IaFnwFPIsA+3y9AxWrgC9lED/BBCEgkNRIFvrAX1oA4HHiTQ2VNCBeI0sddJMhmZpj/69PI70AqUYXAUUn6rREORxMBZR3KmN+0TLumJCBop6i9oVmdNEpNyOSLsdMSi8RPFRTMgNAxD1EUtYBOWRSCP2DRrpPFSrpcjIMlBpREQxoDiRhkw7zUu9mKg5oqGIQKKCLBFyFNKg8bcGIouoKpzMs5xahpqs9kOm2UWrEYVG6iq/TzosT7T9VG5JWSWlneklgoHIUiIZ/VSbn60oYnt3YnHTO/xErDiO10HD8UMmElFolruWQRHIPZOyDrR7Q4Piszxo7jjNcqGIgKGgjXLh+M527ScyRGOZXUIa2VaJOCVtj8jHkEebIEqS7ZFtmXniNb9Dyj7LmuJKzCvbqoEubHr3AxoFA1z1aRM16021ZwiFso8iNBGsfqrxpjo0xQy3/jz0WtuVmNeiwZZEgi1ZxzjAkDhE+pDWR6RWMqZ97DREF24cVhr7Uk3nGoo6jPdB3ACKwRyDvRDppB5yzPv6kyqqcejADN6t7e4SUHwj/d5jFY1URD+jyAZpy3v6lLVzcrWD3NuTR9gI7KUyWHcTMUUE4vqGjg/llJbjIqiQ3DOMD2j5skxZl9wz8JkBIMJprujJTFPr+p0JLeuFlr7jTelTveuWT5gCjlXrGPenoLB8DPe5l+A4w/cb42XQe+3kotAHI4pY5/rAj2XAsZ7zMJ9/el4RZD8y/YzmKaVIxsfXdd80kSj0rm8Y0X5DVCPRwFQAJ6L1xnwHgfjIsr57FIKUFB8xKbZaXgf7FQl8uqBoyNUK5n7srQbjmAepZIxtegWMxwp8D6MZTZv7/toa9l45/TuRy5cWdS7fs0f7E/O0HoZfCMjBMsITMMzBiVWdG7m/pQo7xWCyGSATke99g530rGN/mETbJIX60B4VryHqcRgq2gurnbVmu/zK3YKvmwPxnnvukfe9731y1113GZPSY489Jo1GQ+66667evYMHD8rU1JQ8/PDDnpNSrVaTWk0Len29M7BEknUJJYNSp2IxNq8GvhKNLAQHYvWAVlQIDkLur9xFBymlkYQOtk04jkLntVG2QLWNLsIBFYcDKo0NPCjPLcT8o2oqVZhbUJ92lhE/DY66cH5zvEDG9lu/Ho43ODxrNUB3h7Tsw4ib12igrNFwDUpnBUp+WR1gKyVNb3kPNorz+t3QMhwao5qG6Iy+szbS+W0QDozIvP69jhgOhjM1Bxoyyje6ACdcyicm3CriUCJmIuNpMn5jq6rvZMxJ97pRRTf0Wd86pCfDucu2TPh2vl8H28JKyvMZ0oA5oU+mC71rSsHPI1jkal0H+f3pDqz69uzZ3j1uAM8jFstMOd+73olJjjSuGxLe8T6SUM/6ves1viE3rYyddRkbOW7+uZEbAQ3M3XDPbuhq61AOFL+avjsX17ZcqOhiy/GLY0qnMxc4i9pWA5O6wAhhLJhbgbIW2m27joMLKHY3cp33NwbwTbLe0ZaxBjPbGOj+aCaGujjV5I34iTjkaHXT2OZYsUXttZzTRF5iXgu0N6mn+jmhXGc7F7uXatruJ2K6cKEjz6Bu4iTKVP31jkHI+IJceBqKrEgj3+O14aeTjIvjASy4n61oXNIK3uHGXxUxaapTCIMQMmKzeTve/BwwLZ/80bnrOpXozDTi5uFAjQ4oUjEZyoDOXW56WE4cwzi2kVZLY7mzzq5P6ibCdRKxjBZAhaJSIw95mCdSxuj4O1VTOhjTzoNKQ60ajjeWO8uD6STFy21vDH9B1Us6+57Y0A3Q3qS2JRrLzk/BmW2GcymduKSDMR90fJOW7fYFtge/tLC8aCxro11jocE+f6qstLLrUto2/BSZucmlE5wxztx68qPO87rtQ28nXZvvYZ5YNgbtnfEmfcIWXMt2JfZq1VZYWq2wQVXkRpbOKxr7D2m11w1qX2U7oXopKc+k6iYiul7LwpnoxiOkAjIdYKM5bYPpQYTB8VBGFRFJRUHjbLONa3q/e1EPsPvTiDMKauqJRQ0fkh4DCAJpa3tQN+nkoFOElFKmneXYQKgcOpTGEF+QZTq3CmcwnDjjeH4FtGXSmeNwDHOeOJrsOAX3RHQuP9P0PgijevMzCGPEcC5vS57sXc9ARXcB88vuqLarb2wc7F3viSl1lGPL7Qnd8zDmL+P2uqGX5mr69zsyp3vXjPHIOeJiQ0EKe/F9zoekHq/igO9QUinGt2T1mRMY3ycQe5F10zYcpJo29pXFblzOCvob570T6+oko/L6HYPne9fzNW0zXAewzdDZ/93z2ldu3qH5K0DNOR4BxR++B+Zpvdy5Pz2FmLxw5K3hfdMj2s8L2PMOxegMRug3jG90qJ5Y0fKYgEOQ6tMHhxALvOndd5+d1/4xnu+85/y8vmPfuL5jqax1Ssr1swv6jt39WCd3+3kzXpNz8srsdXEgfu5zn5PHH39cHnnkkU1/m5ubk2g0Kvl83rg/MjIic3Nzm54XEbnvvvvkt3/7t1+PpFqzZs2aNWsvaa/1nCZi5zVr1qxZs3b1zO7VrFmzZs3a92OvuQNxZmZGfvmXf1m+8pWvSDwef/kfvAL7+Mc/Lvfee2/v3+vr6zI5OSmtekiccMigMIfKCNiZBwIHwgUtHzRMG6c7pLK6FFci/qicSzGRRgaIwjVvZWBD3IAn1KTAAukTn8FpEAAGxT6ggfhOUhuJiOoiIlsQgzHKjqrDK3pqEB3W0+1GzbvJ5IcJXwZNFaixtaKeBrWJyoN6sEEdH1IUhyA99WGgODKd9zdKQC76iAgREUr6JxGZtSFvcRfJ6WlpeBYoALa3cSBdSC1GezPqo3uZ+472k9WbcCLINguBFiK8+AzbD09CEmktkMoCTpqGgGREO1jBieNoXE+D9gByvoGTQDdgL4PTE5Vya+Zc7/otOSi7+qidzuF0kCpqPHEstJN4hkHxgeJDvZ6p6QkQjaiFjVYnPZPZQu8eT+Y2QN26VAA9Jattn6e4qyf1BHFjBCfEaaCXpvS3RCk2SAtE/dUAy6+jL5K+Hu7vPN8sat6ojMxwAAGgCJ0M+h76J9WcDXYI0MhELDYRdDvaRVK2W94U261gr8ecJuI/rzWcoISckCTFG+FExKBL46S6OVGHRLmRgjoOxeDjFQ2wzt/ym1UfURDaI8Vdveub0j4oYiAMXeQRqaiklHJ8YIgD9lmOCRT5IJ2IqGQq/Rplin5LVBXRk65YlIipkOiiHftBsSFKgPRPA6kGNNQ80IV8N+vDD11I5B7riell+TF/JoVvs6iNX3p5n+3KEOdB/bGO+X5S7Nkmk1BQjuGdLEsznc1N9w2kXFDzTCTn7oS3OjQRlqQhG+rl/D7aFdGvRAb7UeZZZgW0G7edLyGuC9sD38e6IdKY76b4iZ8dSGqoD+P9RO4CAch6OlcFEiKhiBm3/gw0L5BBNIY+YD83hFNgfohM9iGGUAn6KIlfi3Yl92qNdlCcdkjOLeua6C2Tit4iHZeIIlKC+/u86fIModAX07omGjDvdx+CJsdnO+iswxPaB0gZjANJfhksleGUjstUJh4EkpFGIZQjY7Oez7CdHhrWvsSQQhRp2ahpPxhMdb5LaiPH+W/P6Dz9tikVpmAdDI94C9MQhVaoalpunlBEGGnWKzWEW4FyNRFhC3UIsCR0vv2zxbeLiMiP9j+u38d8TBpyy/EW+Hob2EzP1HV84jw5gfVM3Ge+m4ooQ2oc8/CXNpTKTpT2nSlFO5a7wl8fGni4d+903Xs/8kJV12LXJRQBzhA1xytKW/YTn+Q8wrXhgSSRjFp/VDWnMngirW31YEYPDb4+v09ERN46qu1no0mWg9bvYFzLiywGWj6h/bA/pv3mhYKW0+1TWpezJe1/RA8OJ/RbQwmt4+fmFHWX7wqmUKU9CVr/3AZUqH3C0HG9uCOl7Weh6i12w7BuRF5n4vrdPtTlJaBZVxBSi0K7S5HOPL9jeLNAjIiJgKbxm0RbTqQ6c29DXrmKymsuovLYY4/JwsKC3HLLLRIOhyUcDstDDz0k/+2//TcJh8MyMjIi9XpdCoWC8bv5+XkZHR31fGcsFpNsNmv8Z82aNWvWrL3e9nrMaSJ2XrNmzZo1a1fH7F7NmjVr1qx9v/aaIxDf9a53yTPPPGPc+5mf+Rk5ePCgfOxjH5PJyUmJRCLywAMPyAc+8AERETlx4oRcuHBB7rzzzlf1rVYlLM6LstAcgfe0+fL+USJ3Ihn9LeO+92LkQSzFWYHYRgbCAvwkw9YBZRdZ1fc000ARJgkd1MvqKILAF/EBgtkYjwynTXWgkCLpTv7aTe938H64yFiAiDkDj3wUCCQH6WUw0HQM8ekW1LMfwnvaRFLl9cQjA+RVEc8kcnoK1XYRfajH6hAQVjXE1IkhGDpRXRCAic/iPXshtIITQcQCllo/EKdAvDE+nYFkRNG77Wr1ZghWMI4igaqsXyDIHNYlUGMrYT1RYj1lxhQJMpDSkx7GfTFiygB1J9qUDLShizhl7DVDuAACH6M47SNCZDik6bqA2B9DQCQQwbDe0hOak3WN68FYUItNXbw+VtT4Gf+471jv+vE1jYGVjXR+e3JJA/oKLmlpIGtngUZknMb0Ls1rcU1PkXgaHCbqmHFEIajSBMqUsdIM8Shcu/04BJGjFtsSYrkyvmoEyFqiFA1Eb1Cfb+a8xzSEf5PoSLH7fe8YR1vBruScJiKSD5clEQ6bccIQz8gLBUWkkR+yLu6DnmK8Mv52oaH9h98kSpCIwoMpopeIusNYj/S4Ag87Y94oMFecRERkDOg0v2PPIQPl5o368xOeYHn4oZ2YVwY1dxF9+aB30HWWF0+l2ZeZvxfHv3SNiEwirVmvZ6saL8sM2g50M2KDLQBp58aZ4zhLxJuf0AvjQbZ9AtgTtcZyGkEA+4t1HfcZE5cxoto+sftY3m5f8RPnSRviIN6x+PgM2y/bBhEnfkJacSD0Wk4M195x/Bhz0u2XRNMZcTPRlo34fwHvsZbCKTSibIleZHsnqscvLuh0XBEwRnvr9kU+a4qlMC4qYlZDSIxiMByLvBDNHdO8+sWnvNbtSs5rqXBDIuGAEUeQcfAuFPO96zziSzMWGNexc2XdSxAZmEbM7uOIO3b9iCKvshAooI32d9JG5B7fTXRhArHWiFTLxiBU1vLeXjN+ONFeRA9xHB0BC8gv3ppgv5ruoqkulrTPMAbabRMqRFJpIb6qEb9Rn58t6piU7V/sXddb2t8Ys/H0uiL9mngmN4j5sYWY/Ribd0Z1LXA00YkT+OV1FUx8S0Zjnx+Jalq+VNJ4hZOImZjDGDId1rnsC+s3965vjyuyrgC0pStQJyKSB6OBY9ebEhrL8LHqdO/6JGI5unueoYDOx9MRzecc9jIUe+RYyLluH9LLNRLnA87VISP+Jfa3eIbt4HBe07BQQ3xqCEHuynTm5yz2WxSXOVbQ/F9c0H3h2/ZoeRnoVLA3GGuQKF7GAizVtd8MQMyHQi98/sYxCC11kbuZiPZVom9jEW+0YBooRfo4iCjm8+xP7LdEWGcwXnBcWCppPlbW9frQpNaNG7+UCEXGNCVymGJQCytap4d26Pvc8arBzeLL2GvuQMxkMnL48GHjXiqVkoGBgd79n/3Zn5V7771X+vv7JZvNykc/+lG58847X7VaZSDkSCBkLggMhwo32Nw0ozIDoN615rHAgtqw6wCiMEY7DecSHDfRNQSVHsFCDq9uw2lIhWPDsQehA+O7cb0fy2qDri/iAxD2SPZpB693hVGoEBwe1AbcbMApmvBxjMEZVoXKbOq7EJL4YR3gNtDRo3DQ0tFSBLWZ9OoQnCtJ0BdIt91Y73ZGNINoAXUwDcW1JYifJKGeDCGSxnVQDMb3Gxv62+qYN3WTjkIKs4SgrNxC3bjUUAf0aIr90AlJB7EhyAHnkvhQmyszOmBkdxV61xEjoLW21amEbt7oXODm92RFF2cHkp36norqxM2JipQxqh5zYR+HKJGfkvIQNs3cSBaw6Xm2Mqm/xQT5xIKKMBxK62RSwKLQXajFsVC9jMUTneELi1hU5bFRRRtgEO9o0ntTV4KYECnXTTjEc2j77CumYxqhCC528tRAyIX4vLbB2hTGtgo20GN6P4A224Cj0IhBz2DLoC3XhzF2dNthq+Xj9dkCdiXnNJHOQjAkbWPht9TSPsSF5aNr0yIicjCtY27OUA/U9kUhAjoT6EDgQodKtDSOA3RoNALeYgh0cFEwwr1Ph0cVEuWGY4pKteK9wOFGzk94g+/h2EJnEMcu/jYCahafcR0g+RCoz0g7x6EynEh+oiiGYI6PkA2NDh0e7BgUW8c77WwTvfs+Ql5+4hmGUAjaDynX3AAZTjWcuPL9pDazvjM+zj9uSN3yYwD9kxU9ZGKAeYqvkKrMdzOvzAfT6+eYJn2ev/VzXtNh65brc2tKaxuLajvJ+KSXRkc6aZFLcFTS8e7nvGYb4zOkpvtRp91+5qfYbKhGg7pF5/IqPCQhHyEU9pV2hE5ObQd+v70W7UrOa6VmRMLNqLHBXYYoHccN0oqpEnwOirM3jWofptNgHs8369r2KYzHgxs6/EZTnbbMtXAVjpVliBLwHZxTOBaOJrRvkHr81Cldox7arflYpTMRDgoqu/bHtA9x7Xogp+GFXGcQKcakWdKxQCN1k0IWFICZL2v5DiZ1rimDvkoaOeuVfW8WgiIJrA+4XikGO/m7KaXCG1y3FMNQ9I3pmp7j7Hyb4ln6/V0xdT7SaXiyrgdwfOclOPmKqEuOwXui6qQ+XtO26prhvMPaI8twK5iP6Fh9FOFh/p++J3rXLC9DbAvz4VmIWOYj+q0iwlCxDdMhxvZ8pqxoCreP1HCwvVLX/nF9XtejDGm2DkcdnW0U/PFT8WYauRcbiEL0CE74YkPLgKEQvIxOPYJpVtGHePDAwwmqSdMoPtSAI30Da8Bh0KgZFoHzbT6rfd4QPerWzRrTCJ/QuYI6bg8PaX0cmPA+THHV21slnxhwHva6qTC/lH3qU5+SYDAoH/jAB6RWq8ndd98tf/RHf3Q1kmLNmjVr1qz9QGbnNGvWrFmztp3MzmvWrFmzZs3LrogD8cEHHzT+HY/H5f7775f777//B3txoPsfaKpEFEoWqJ8SPNk4YQ9tAIGYBrIBIirSRS8aB/PwzDth9Zg3k970QAGKUIA6dLJAMhLoA9pnECihMCjMwXH8gInD7cq6etbdjAeBrgwCuRQBCiwEim8VFN9gDPS4IhAct+vJRhhIxkYTp10+h78t1hneWUlDyAbPk07sdOshtqjfqQ1DxAF5ao7o7+pFIL9I9QTqjxTi0ApOBPtQZzHQuNeRXtLX+7W8E6f0u5XJzm+NdhImBBFo0/P6u9oIaExZph00LQh1rFU07eWKvofnJhugbcRwMrQ/oScXo+FC75roEvfUbB6UYaIKpkBLICKC1D6iRVZAq+Op2u6opviJ8rSmEbB/0i6DQIW8afRc7/qFksLreTLlnoKRak+EaWtCT3GJAk1GtQ5WNhQlVF8C9WxA+8dGWcuaojpEjTqoM9GDJLOvwBzcdynKwTLQhRkfFCGR2UAdkuZMoSBTAEovg2h7bYyHLkU7EPJGjW1Ve93mNBFZbyWl3gr7ooHYJ45kOggGItgYNJsoKZ6Az6OfUPSBJ85E9BhiBRh/ifozUFg4dfYT4mh36fB1H/QUaZNEFRChzJNaIvoM2jLS2/ZADoqY4xnfyd8SHeAlJEOkIcdCPxEO1o0ffZdm1qX2VaaxH4JSzB/Ri0y7l7AF0aMG8owITCAGKF4zWyPtXZ/nN0M+dOrxiKLvWN9LKEu2YbYDCrm43zLmoNjLlynRtEsNoHGimi4iYNjGX4kR5cp2UEZsEJOS2ynjtw6e6t2rkppPZKsPnZvUeLaBdNgbIetH9ycKc76uaJxdMW/0BdukK97CsuZ83xLvMYfPMF1GSARS5nE5izSSyr9qRVRe0l6vea3ZDoq0zbXLxRWto+G0d7iFqE9oAAqn5IGiIW3x8A5FkJEqXAW18MQlRSbfufvspncT0UTK7s0DEFoBgo1rZyL3zq/pIm7ftK6pSZGO4rqO75IKWQZCl7Rk2kYX5TUFMUD2E9K/p9L6TH9Sx1OiwyjcN3NJ83HLded61xc3NF0sp+kcx04d/xYhNkHRDIp/nK11EFE3JxWBWML493hVww/1+4gtHoNYSTKg94mCL2K8PAXq8QHsK7iX4Lf+34W39K5/ZFCRgV6I8AWwSIhMp+Db6aqmN40wKUSPLxj7LK2nSzVFTxLpx3n4VFGfoe1O6x6NSEIakbnnip31CudyfpPGfsB3UAglhX0YxYHYn+phMPmwLlkEkpmIRc5BFENyxxfSlrn/Jcq36YBKDMo1883+RIQgxzGGBOD4sgYUMZ/fldf1yqWi9q0zBV0nuiEPRjKKdOZ4NZ3XvlcAzZlCVqLg1B6q2gm+8jnyqiAQXzMLOiJBR9A2hHnnprWNDTHppVRWDq7pQM0NtFdYn8A6ii6DBQ032Ih76ICSHKrh+xHQf+A0JOW6ncAGbBxw3RJixwzoJEonQzaHeCJdCrOrQiQiUq5rnktwbPRlsMBc0I4TiGtawqtwykKtiU7DKOIJFAtQppwDHQvKvNFRbA59VJNpoS79OHhYIfcxVFgczp0w4rqRXsqNAOnRa2VAvHdpPpoFvc82FuyDc5Wx5eBkrB/Q51NdGnUFNNbAstZpZndB0xLQQZKxOEMRpB3fd1AGVMgexWDDwY5xVrLYXDxZ0kn6nVmdOLl5cx2LnNhIRbpQV+g7aZGkTk0gPsl0ROkFc3jPYyWF8VPNi8plnMSyiHHBmBwjUOri4sydUJJ57R+kM68sYdEzqO9gO2lcxiQzDLVlvGcDTn0HCt0ttKX4JVA9pxAXikrpoDlTKbkXv5DOQbQZHqZwLGrm9Tuxy1ouzTTe0/TuiG2GfEDbc/tZq+3t+LT2yowLSDoZ3E0+F1RU3+XmmWEHBiLejia/+Gl0UNDoVCO9lM5lQwnWxyHndc9wOmEBT3orF+p0fPkpFsd88kfH5nk486heTMceNynL3c0AlXj9YrMxjaR08nmD5h3wdji2jWC6pJeSqoyFOBxWdBjRXCfNApTnp+M8/MEhHR3BPjETWWdMu/lNHIb5xKejY/FyQzewbB+sG5cab9KEcSCK/NMx1noFtHs6uxhnimXDsvaz8xWdE/2Uj90NN9sy+6Gppu09PvB9PFyj0cFN9Wkawwmwn8+iPphvlqX7PB0INL8xh+2HfYXOdjpG6BQ1439ap+HVttVqUkLBmCzPaxvcsUMPrs7Ma39I79D2S9rw7n59/sSyOkKyUO69OKtt49Y9qtpaxEZ9Z1bHE264XSNVko6HkbSuVzlWMWIuHWMnFnS+rSOG+0441RhvkU7DPsR14yH3M7O61h3N65qd73GVaF9ALG86B+nAmKtAARnfmYVThA6gkR2adlKrud8gtXm5gj1fGhRepGEJZRbJ6pjt7hXmEP90yFBp1989X53oXe+NgT6LOeBETcuu5RNImePcDMYZjqm0sbjOQVy78ADKPdTjwS/HLY6VdBqu4lCMzqVvre/T5xHzk460BPZHJ9e1r5DKfmoNfS6i6SWdOAvKMx3l7t6R7X1mPd+73pNHPFysFfjuHMIHsP0yBuognMvsl2sVb8ox+zn7EPd5le71Bvb9DGVAOn4FYKiFgpbRzkFdb3CMCqLtk1rMtLAuWR+MWcq+NYD8lXAQ4qqt0+FJY7kzFMMt4xd71zMbeX13V8m9VX/lYT7srs6aNWvWrFmzZs2aNWvWrFmzZs2aNWu+trURiE7nP6L1gvWA8eeegSpoYGggTuEM4IS/qkUT6L4zBCpqewmIDJwmRJehXjzmffLZjnvfN1B2FIAh5RoQyziUWmsVKCSCfpyNq2fd9eyvlEGzBDydIi70gIf7EWQf6aqP63fCREahrKlWFkV6w1mgIIt6ahAmZQGgqUQMwZfn1FMf7r6TCK86UF08GYug7HiCSDGROtCTzGuUkP4KlAoH1PtPJerSMhCWcf1tGIItRLe51oh6oyGjEH2pl0D/QZ1RJSvIIM8U88CpC1WliEjaE1da0gDQDzMNxTufq+rp1T/OPisiIlMRPZUZRQD0BiryTE1PZYdCeppIatalpqIaiFqgoAspaxsIGBxG/hiIulDWMuOJFQPduoF02R7LDIo9UtBnUQdN1IEDFfEY2qwhfMMYCqSsg0Jc26d9jtQWDmqxOQqdYFyY75R3ZYf+rmUI9eD0E2dIRBfWRtFm16korpcc94jEdQpQH+tzuo/a4PWv1Nabcak1I5ILAwnrowTrUj1JTyT6huEAdicU2dv2EUWg2ilRXX4U37GIN7Ks7SM8EQVew1U55Gm8H3LQVBGGOIihOI11AK75jCFognGDKCiiDv0EW9hvXCTaKH5HQQl+nygtg1JK9CYs4qMITeO3iAxngHei6LwEYGhsP6wbjrn8HRFprL/nKxpI/rqE0gmDBtVdr0kPJsVrGiEw/FCpLGO3vXkJeYiY6BC2cT8hElKPiUBMkpouDc/n/QR5cqQLok0YIi1dNArbmqlY/PIUavZntk8/lCLfybrkeyicwjAkROVeqOtaYX9XNZTtfQyo0hrqhm3AT3TFT6CIeeL4dqmOGCDWroo1W0FxWkEJYL1TrCI0UtB7fXDDoI4b80DLjWUp7qd9cmpckU+LWKdPks4r3vsT9z2kO3PeIWPnUln7A+m+BgprUMctg5aNNeo8VG6r2ItRdDMKCuqRsVnP+0SHXeoimW4a1rIj/VKANHzucWX1jB9S5B6p4GMQVKESNcspjrLh3rGMZ0pNre89GS2bmZL2zzWj/3fGV6LX55r53nXN6PveAl9PlKZ712Q/+AvEYXwn0wO/9UMMEh0e90Chf3bm9t71P9vxuOe7ec313+Vqvne9N6n7s4eWFI14JK/1TVVltk8iE6ezOvcx36SgX6hp3bANu/XKffHKss7Z7G9EGnJdRrGkJJCURAASAZzCM5m4ljvbWxJtm6ENnl1QBpqrssx9INsyFZAL69pv9o9puQ/HdW5kKAH2G+4tV4HE5X7uAhCAe7I6ds2U9D7V2VmWbpqJLiSimt9nWW+gH2a4fu8msel4r+m9zCIQrVmzZs2aNWvWrFmzZs2aNWvWrFmz5mtbG4HYDoi0AxJKAGmD+JABIn0QR9BBwH9D7ALINd4Pl7rPDwLVldT3pU6BXz8KxAK+46KCREyRjwgQi4GMes9bQaCaENOwsgHkI7LnAAVVQWzEDcQgdFFQRB3SKAKygoCvAXiyg0DTxYgoJAIJZcf4gvUVSLiP6il2AKePzuN6sufc5B1zJDek9110HeM3NsqI8YTf1dMoXwhWULyiVQV6EWWaGtTTitiYXjfx2xqEWWI5nJAgVh2/VegKtvAe0WEllGkT4i6SRkw8ohRR1zxZZfy5c6vaQUJ4fz9ia/L0jAiYfVE9oZyM6GlJod05uiAagEgYIhNujGtcmixPFtHezgO9cHxD45ZMJfTE7PHVyd717rSmhTE2WjxNRCzMuRLaNgPddk+v+gf0dMkUYND3pRI48UT5rqPNNNDPKoxBSDQ0TuQdxE8NEOGsh2fSBkK2HUO/QfxUF3kYWYbwT077YaCBuKu4DkB0pZnX51sZjJ0Yc4Ib6CsIZ0cUuFtmba9AstY8bSBSkngkbKAHd8YQ5Bqxdtz4XnzWRfaJKIpJxERkFR0gCYCYIvou7hPTrArEEsU8iDAieolIgTbg9C4qjMIJ7G9EzTHQeM0Qj9C5jug+oqoaLSLuNiO8REy0AVFVRPFRzKMtet9FShE9Ng7xCo5DnMcWHYg1wZhXIjmJDqNIhB9qk3VG1CrbAeNluvXtF8OP5UXhFKK9aLtiing14i5iKGz5xG9koHoay7IhXK9o++/lD0MO00gUI9sJUYp+oh2GeI0POpWoeSIc2fb80KGMQejWQwioDcYrJBrSSC/aMuMe9os36oZ9iP2A7yRixwtdI2LGJhzzaf+u+aEOGa+QdRPyiWPod5+/nYAIzrnqgNfj1l5nc5yAOE5ARoe17zH+eiblHQ9tADHQKKhSB+KOSKOZYr53nUMstYGovud0UdtAykNEjyiifAxMKSCj/GKzcZ3DuGv9SAtRVWNpRfcdR8zECn47i3lnZ0bbMo1pXq92xp9sH9BKQB3RRq5TVJWfAAzj7C2UdO0xu6hz0JEpRb+tQrCBiLALZUWzUbSD9UpWwJ8992YREfnYjX/fu8e5kXMXxyrGzCXynYh4jt2GqBfG4uMVbSdE5XNM51qL8yrHMbd9/KORk717KR9xO84dfPdITNsJbThR9LzPdw7GEUMP7YBoQKL72JaIzBuM65zv9rnvPa8I1pGJQu+a/WAQaL0FoIjZh9nnGYtzqarz4UZIn2E/uAQBH/ZnstFi2Bu7yDwigRnHkLFOaaa4ivbhlSrnLy1TIhM5FhHhyXFhtqz9nAjdr53b37sO5PX9o8lOOhnHcBKiSGfXtP0yr2chxML5c7Sb70bDO96nl21tB2JXhTkIR0gLCseGQi7FVUBbFjiMQthAU1nZXV+1itqZwmtQyTqAAsf3KaJS7we1Gt9vJrGZJxWSTk6KsZQg9IL30BEROaUNev0gyqbrII2DDlstg8LEdR6cAwE6E+DAiCe8G5qfYEJsFiqvI/R+6mV1CE4tOGkI7yctuVbv3KeTjgI3FMOpIoMhtA0qLxvO6BWo5TLoLeqpNa9lHYZabZ0K2RsIir+ADctQt1zR1qi4bdCZWdek7NPJCEckBXlyGPhHUzo4jiV0MXcg6a22fLymk+6e6HzvmhNgXjrvLwZ18qOgADfW3KQ1BIHO0QioJLorqQPpWlPLmk7DGpyGhO6v1zU9boBYEdPRSsGfTHfAN2gMFFGBwnJ/WsuUgXZZT3T6piFKVK6gz+FbwRg2b30IussOAppzcwjhAS7rO2ujnftgfIsTwngCgZ8mlOfp+AutYSxEW2L4haHH9PmFowh5UNL7bkiCgI+aorXNFgy0JRhom6IkMMNx0G0b/djg0yE4HPFeeFJF1xT58Hb0morF+q3LjXzvmo4OLoR5zQWLF22XDiU6CukAY7gDI43YfJCmyoW4SWfWPHETaDouMC75OOq8RCD8nFEhHzVHPwGREMZRKkeS3vmV5UO963f2P++ZhrWGjl10/tFh5AZtH4QwV8vHgUmHnK/DEXME5wuWl3v49GLzO8SKBpg27znDzTfbmp9zmcb2RicjnZ9LDd1A78Lin3McnfCsAyqfMz38Lu/3yhhd0k9VnRtf1sYA2j77sF8fMuoGBwJ08tPYPqaiOid7OfaYt4dWD/Suj+bOeL7PEB3AmpKb8xjpf/Lq6tvalbPx7JqEUzEpwlHQl9D+w9BMdChRpOEi1Egz2JzH4aDIgOJ3eU2fn0wVetd0UJD+6G7s6dig4AidA/1wSC7VNY0TGR03xpI699I5QGohr/eC8kznIymodASSLk1Hnavg2vJxbNKGk1p2TAudIhQ8oUDKDuSVtrCmc++h0TnPZ5Yg+MFvjfTrO3/h8DdFxFz/8uCBB1QcbwyFd8xThxMqHsGxhaJsRpgJCF/Mw4nrFwIkH9HneZjqpt9vHHqhoggBUqIvgT7MPc65sjqGppM65laQFlLaSVsuNklBhzMRbftsESgsWAH7qV3d/dfOaa2D8+dUrGVon7YrUmzp8JyraJkyPAAddXQgzgP4wfSeu6zhtBjCgI5TUqpd5WP2iVIVh2gIQ1Wu6/2FirZZqjZvIBTDFJSPScvmOMN0cXxhn+da68iohi04uap5HU91xpeLJ/XgYexGCJOif3JM46EF+/apruhSq+w913uZpTBbs2bNmjVr1qxZs2bNmjVr1qxZs2bN17Y0AjEQaksg3JbGhjeKrl0DEq3lfQITrIHKCgohDv7FcWmiRKGl8CzoiakLer2xD2fBFEXxSUsbVGUi0ZyG/jZUQnpH8H4fhiAprqFE5/l6DSe7RO4lgdgEyo7l2D+i3uuNinreAz4ICnrYa7twaojTrmSz7igiAACW60lEQVQGQTtxTao16bZrq3rC5PQ8++RN4xplHQBqtKWHHxJO4LQaKNNQzlukxllGvkFHNSilQJAGkYbqTn2nW8bBCsoa1PhEHEHgQUtPZ71PCCo4RSGlm+IqR4b1NIOIISP4PlAOpAw8U1XaMFFOd6Y60PwhIGpSQDLwOws4mXu0srt3TcTAk8Wp3vVQVE9UeGqZiWgZlFqa72cWlPK8p19Po2hZnFLPVbUhlLpw/fV1bV+JAQSHBvSc10Qxsp0KhiU+w/rg/UhY655oUp7OG8AOoB3rE0ADd9sbqsg4KiIorZlBXwkCDVnFdRkBlhGPfmMHxWCAth7SfKTd8ccnSLq1zVZrRyTQDht9ouVDE3XROEmgtPg7IopIMSS6kcioCzU93T6Y0LGCiDAifUzhAm0PpAETzcX77nv8aMtEexExxW9yHCKyLid6zZN/g76LgOw7IAAVMgRYmriv6SSCwc0TEYX8O9F3RDvwmt8nemEIghU0vv/ugWd710RSbjS9kZ9ED7Jex6KdemK500hjLfugVimQwnxk0d6YFpYNqazMH431UQfqj/l25487sopsoxHZQWoa88e6YXlRyIt9ks944zHN9kOxALY3LyEQ9mf24UEfdOHxDUW03JY755lGCouQ4su6KWNeNQRbMJSTIu1HWXdRk+x7/6jveO/aL/TB+ZqiLSIQjGAZUdiH8ye/ZSKsLWbiali9FZJ2K2QIp4xmEIqIrA+gkU6t6HxEFGoMSDginBZBsb1hROmrp9a0LU2kdT4ius0LeUW0UDzk3bO5xyHSp+aB7hERmR7QsT6JdkpaZAkIpzhYUUQyDaAMshBDcNO5jPWyIYqJ9SQpqv2ga3Nse+aZnb3rm288q+/BWEExjbG8li+pqaRlZsM6HwzGtM9zLHDHn91RpVkvAgn4QlWRVzelNDQS5wiGjViGMBdR30Qd8revZB42hFYwvg+GdZ5w2QWXKvnePY6VFYyzEzEdi0+XFdFHJhYFL4k6ZKgI7okotsPrNsPYANmaQP8rQjSHrCsXETmW1HLpO6Dth2jhIpCOfN4Q9sAz7AdsqxQfYbs9MKUo1yVQkY11CUOgdfd/s2Wd4w8Oaxuj1eD7KFR0zr5+QNl454s6lzLtvG/2FTI5wEzF9ami1j3TngfrodANFbBjn6adiEJe01imDFUw1d9pe81YTU5u+pW3bWkHYvh8XELxuDTyiCMWocMMdFTE9xOojTpQJw0WoEgM2p6kOs/QR0cHEa2kPhZTVZnpAj3QwIAOgP4IqmAgivxRZboCB1sGE1ES30Ia4t04cOuIERiAo1JScHKCEh1NQlkWnbgS1PcwBiKNdOZMDnEA4Bw0FGqNOHPYKMI5xvQ0u7Rs0pDprAhtgG4MumbsAuDe+7RDh9EGWqS6w6HDam1nvdtPeBXvwXdDccSTczrX7Rrik+DvVJ6uFOkNUqOjaTivg/MAaMscSAgJ35fSgYf0uJmGDnxUU6YiMyfLhe6k/o3iwd69O9K6eZsMY3OOgZSOBW6MSA9Zb5JKoe2tUIcKMgZtqnNxwUd17Sqg4qTwh7pKxiG0/dm5fO86iPvLbS3H1qymheNGakzLq1TQZ6L9gLBjgqKTmmrdVLJzqOBegFpgHxXkO/cbWVCP4eArT6G9Q2GZYRvYyqvjaONwdpd3QiEWfSW4Bkq3W98+saqsbbZIoCWRQMBUyMU84UUnNNQiA/p3OlbocKCt1LUtX5dSpyG/z0U2qY1+dB4uuLnIprlOopiPk7MPC2XD6UXnQNCbFsR05X3UXEk1JTXWWPwzzh0G/kJzcxkw9pKhphvQvjnf2NG7noK6MNNImtZMQ8uDcRUNSjAcTHR80aicy40RY8JNxjvjdBKUJ5NSixAH2HiTPhv1iUXF+cWIe0iKNr4VRMwZQzmb5YoyYPu8NXNOXmxsM3SG+bXfkEGbg1MAadnABozORz5DRyGdlUw74zfSXKc55286yfkdluktWd1M08FG5xypzUwLy5phDsoB7ziJbFcMZzCCPvRyxhAHTAudhjT2SR6EMK81H1p9y++k3drraploXSJRkYur+d49KvrSSDHmHqqE+O+1FJx2cF4dGvRWEjbWfFhH0qHixgBkrLdMWNsjnTIXK7pG5rhIJwMdoYdB5aU6NOdtOjMHoBC7jOcZiuf6IXVizJfVObY/13FOUXmZ33nq/ETv+uZppfUyZhzVWfdcp47YE4vq2OhL6X5uf173Eiy/paqm4WtnNZbbD02f6l1zjXKupPPRW/o7z5CSzP0Dx9PPz9/Wuz6Q0XJhuBW/+KpriLlO4zi3hHnViJeMseuCw5iJm8OmEPQwi7FyBeFFni8pACKFtsfwTYWGXp9eV8f0jX1aT4zXuYS4uqQHn0DMzYEMHOVot7xuG/GKO2VJRx4dY3H4CVJGTMOk5/MMbUDKPvsWnY/sQ3xPFXFVj62M9K735hVM4lKFSbUfAZWfeeJe0M/64NTzoy1PpXUtROo244sSKEKn61pF29hegGJc5/xCQfPRN4KYrTwcQJ9cQR2s4925vs76j5oXL2f2OM6aNWvWrFmzZs2aNWvWrFmzZs2aNWu+tqURiBIWccIiDlBgUvFGJAQhkNImxRXOViPOLOi84a7gRpu0XkD7SPflSwKgNjsZoCEToLdSEZVURSANBei6YA3vpyIr0JbtfkKW9Z0urTVIpBGoik6fevKJtiIqMAJvfwOq1aSPEAXmJ6hSvagnZpFx9Y7XQdUlqpHvd1BmPWo6aeFU3IaoDdFWtWnQpkFJTs/reyo4dW+l8U6gVima086zHYJq8Lh+d/WH9BFXzKbaIhVLjWjPCGjWRGzyhIaBpam6tC+jcHmKKtycONe7ngYa8CslDXDOEMgTQJQMhPT58Xjnne9KKvKhCinu0zhte7i0T9OOk0ciOIyTv7a2kx1J/T7FUk6s6UnadFbRjjxdduHZIiJz63oCNDqk+XBVsyb6C717qzhRJoWGiMYGVIozA0RNebRTeRHiFhR4qq0HUd88JRKgkYmkprCOi7ptoj0ybAJRhKSjcWzhGMl3U1BFYkAyziEgMwBnbh23LfLjFVvDCUnICRlIQ0P9lcgKV8k44E0RLeOEnO/gafyuJKiHeMZAn+GskUIHKR+hDKIKvVRYRfRknggDCqtQGIOouZAPkoAoMz7D8cQQg/FR+iUCMItypRIbv7vR2oykGTYoTN6oaz9hEdY70XJlg67krV5MxPiieKeX76Fqvftdou8oTEM0At/HOiOCjPkmuoYoRdoivkUkJetpCOVqiLqgTbpp81NSJsKSaWc9+gnDxHxQkkYwfaAhWU5+qsk0AynZXWv5UeeXPFCwImYbY7qI1iPak6ruY5jjgz5haZjGKpSw/YRW2h44BSJwaL6qyminQcxHMR+qsp/g0QvtEfyr5vmMtdfeggFHggHHoApSBKQPghVcu5KyhyWlsQ/he940eq53/Q+XNETOZK6g34rqtyhu4iKfKGZAxBSVWg/065x5dl1R4nkIwxBJxbXokE538sKSIvpuG9P188WS5onCMA1SmEH9NcKHdOmopIheLCml9Ojuc71rojHJTiL9OgeV60Eg1WZmkW/Qn2mkSN45pd81WUZAIAOR5TWePFNSBP90XNFY7xnUMB4cf58oK/16f1x3M1xP7I5rXZI5wHArM1XNayyuYyTHVK6pnlpXKuKeVOf9pB7nQt703cOZS73rOOasz55ThOXBfu1DfT7lzrGb/Ynz/Y1jlz2fZ5snco0iKrlI57tkfzHs2yAQtET0UZnYUFvHd4iEPb+s/WMnBEoGMF6w7Q+kUcZot+zT6S669vYd2t/Y9qnqTuTwY0/s6V0HB8HUwbuzDK2F/K0DNcpxYR11n6cA1IaOSzuyOp+TVbfSXTeP93mLGXG9xnqi4BKV1C+FO9et8iufF7e0A7ExUpdg4kWLE8bauqgNvp3zjuEi2LQzBiLj8lXWOu8hrdcvpmIIm3CKLnEPRach09tueTvbwkXEXgMdlmstOiKYPzrh6l3F4jbS7sTxsI9qLOnGEXTu5qJ2isa43qeyFwem5yvq6ElOKRy5aqjS6iUHhhoozIzr2FuTY1FpxGNEuTSHval0IThRN66HEu4sNmygl/d9R+8Xf0gHLGdGB94WFHILB9HGQDtN93fKqUwHOOqGHT0JRerxrG6iuDGbxaBzGjEQ+6Z1sN0d18nHbyN3U/x87/pSU6ka5+oKlz/RVqj9W1MnREQkE9DJLILmOAqa04G4DrzfLu7tXV+u5nvXi4jd8uQTugi8+84ne9fziF1ICDtpKxy0CSfvS2l5GPHXuosdOm757hrao9FX0R7TcJ6TbpLIU4UZMTTx2yDo64SzGzEQ0Z/bUZ9Yql0nXwiHIC2EO+DA0cJBSPIinAyM30pleQ5ReCf7VnBVJ1SXYt/yGdusbbaWdJwN3OTP13Si91KXjfvESzSUTHG/HwvYhbr2JdKCQj4OKDpadkRXPJ+vk/bpo0jsOiJIA/Jz+hiOG4x53GT4qVaTlkmHA8c/bhZojOlX93GWuA5KI04luiZpuiYVXBetfB/rsgB6E51zSwjim3f0nXFDfRbxcHwcw7sSSqN2f8uyII2U7zPjRnnHnltBzKnpyJLn80zXdEQ3cpNh3RzOtbTtc3NIRyfVnN01B/sJ22Dah/ZKo9OZVGHmj845OriMAzDEk6Tj0ojjiQ0024HrqKfzgWradBQaG0Afuh3bcgvlwffQ2Ufl8/mG1gHLr+YR61DkRc7u7jt5j+nyU4RmO8kgZtqGz3jBDbwfTb0Eap9ISaxdGZsvpSUssZ5yqIjIzpw6BOhI40aatr6mbf+GIV1HNhibuu0NICEtmm2A/cZ1dPBZ0nF5zViHdH6Stkyj44bjwP7BRc9naMzfFNRk/Z53HVJZOEKYLq6Rn7443rs+OKbU35pP/LQSVGkTaax14SSic5eOoctw1u7BoWUyCkpwQ/u2Ow+NYny6LX0Wf9f1/XfWdZ/wYwOP9a65PmF4FL+DHcZbNGIgIhb758/d0rv+Z9OP967TGNPG4pudOgw/kcH6iwAPhn7g928fUWfXQzO6b3rLhJZHhfOUT7xOtj066lZquhYZh3o4Hc/sF24MRFKiGVZqAZT6vA/Fl6E5TiJG6E6APQZSOkY/d1H3nLdPa3mE0d5WRdPAPsoYoetdR+jOtLaNmY2857M8bBjarWuSDbTTlTIcriiPFJyl2QjW2xXMzz7jBZ1/hoMSffpyoVM3Q1ldsy+B2k3gVxV7SDr7B/v1t26MyWbD20/iZXZXZ82aNWvWrFmzZs2aNWvWrFmzZs2aNV/b0ghECchm9WGgeJpUPiZtF9RiAeqQaCDSc6XULSbS/XDtxIAKAvUvSMET0m6BlqPqrpSB9APq0FD3BT2XFGnSDE2IpVpPIXYGKsbjCLiPPBN1SAXgQgL4e9KygTAiZJqnHIS/b0A4pHQZqo+opzbQg6wbKt22q5ubsKGAzBj4RJCirIkIbeE7LYjROKCLFt4MuiC+20JbYn3zvqC+3ROK6GWciu/XE4HhhF4Xqlruk8lC73q+qqcZpG8Q3s/T+Nl6vndNRMAkVEBJGRsFVXkKYigjQCFEu5Guj0ORkWpp42E9UaK5QftFROaQLtKTb7pZxVjOl/QEkYhCXlP5ioGzqf6XT0JtDmco7vM8QWUQbyomO2f0pCeyG6IoOC020L84aGqUcFJ4TuugfVjLvbyuJ1wTY1p+6xe1XCnMRAV3F1HbJlCXiGkInjgB0LLz+oifoJRDYSEa3t/KbUZwtlCm1l7a+kJlSYTCBnJuvqb1vj81t+k3RL8ZdF8qoBMNRQGKMPsDhDJ81JFzPqIkfuIqHH+SGDfc/BE1RwoRUWN8H42oAiobsl9TWfpQQoPGE53J8nslSEaWjYugNKnVoJyL930DLSje+TPUk5En1h/RnnFoAPspVxOJGqPQVPd5P3otkYtEpO2Nz3s9boz7bFdxtEk/dXHmO2ogFlEH4j0WeVGY+Z2lhs6ZVLGksAjZD0Tc8ftE3/EZtlWqNhPtyDTw+dNQFu3rIlaIZIj7UKuJFoz4CAIREepHN2YfprHtzwENvTfpXfdeiN7Vhs6Z+xM6hkXwbvZnA6UI9G/QA4EtIrIKsQCOI35qnNaunA0kyhJJNE3KHtA0FAR56rKi4iYHdAyZHlMUM/cVFEBYhiAY0UukZRJdx7A//V2kFNFbRP+S7vvcrAqRkEIY9AkvRJo1EXd7srpOX6hq/yTVk+tboraeWNQ0EJnopuHkqqI6uaZlGrmXolI0167BtD4/nAJtOgl2F9JIqvcw1GqH4qgnjAW7Ezpv/8jgE71rF+39fFXzybUHx7zxmNYBkYmcpzjOcs56oaKq9X7IaP72p3Z/p3f9zIZSqt+We6F3nQ5p/bm/9RNzm8a6hd+ZrYN1gjlzqk/7BIVWKK6SQBvmNcPJxNC2X4A4zlsmFdW4IwVFbaDuXErsQkXb7HpV/x7CPpqoPCOUCfrwrn7dC5Juu1oB4n5A57K2T1gcCraQPXZuTfeF013kM/eZtIsbWu7xnJZdCv2WdG72iTkoO1NIJoQ+99w5Hd9u3atISo47/Zg+q02ImQE97YoYUTV7vqjfJxMzHfMuF7IcLyx05t522Xtt4GUWgWjNmjVr1qxZs2bNmjVr1qxZs2bNmjVf29oIxGpIJBCSIGJ0OYMIAAkkGg7mJci4h3BkR5eBwBvBb7OdHzslLa7UWcR4GsRJzAhiNV0CsgzfMVCHNDzTzOIZunmR4EgR6KGcdwxEio9snO+gWCiyEmQB4LpWgXceIjHLS+rhJsrOSDtOEJpAJvL0gWgu/jbah9P+MuJtpLReGfMg1BWPaW4gztY6vp8CwlRgRJYNaHlQyKINtFWghjaG+xTWIcorOq/pqUOchu/3+rug3HlCw9MPnhwxaCsRfTujelqbhxgBA/PyhO1SQ0/+GZvwaEYRgIxLFQU0Lxno1OVESBEctGM1PUH80uKR3vXutKaRp0GM7TIQ07QngDZ4dEmDFGcRM2cNSM2RFOJs4hSHcVwM5GykUzYULWG8xPJKvncdGEWciA0gdCmKgvYQiSPOJdpedafmyVnT0/kQRJEYdzQAJCyRz0GImDS6/TtQAwpqDTFfhrzjqFJ0hWnkbykk004hXegfRBH3TrKDPshFa5us4YQk7IQMJNGhtAbXPlHWE/NsNzYYBUeI9uKJOseNkxUVE2Bw77hPrEE/hBNPtImKI3rwxXlzzRVSIDqM8djOVvVUfCqmY48fkoDoKYp/jEULvWueBFMUhfmuGjHvKMCi7yTC0UX0xQ3hmFd3NsvnWaZEfhriKpgDiSRfx1QyhNizRGQFfYQqvE71/eIb+olUUCyJaD2WaT7CeUTfX3IQU5CCGEH91gpEtYjFYz255cRvsowYF4toXZYLkSv9Ye++xUD4RMIR5e8Xi4/vTAKtwue9EJbm+8ASwfzJuvHrh/NgCDAffD9jDTK9fkZkE8cdNx/JmHdsJeaD3yfayA9RzO8QOXwGSM59EE9gLEWNdmbt9TZXRIXx94gipJDEQFbbGpk342lFIDHWIdFAp+cVRTeY82aGLF/Wvp0c0DbmMq1u2T3j+R3GIrtuVOcdikRQIIHPh7H+WVrXMWwIYhMLJcSMRXxIGmMNsjyYP/e7jMFN1FoR4g7pJGLDbWg53jCqMSbngTJjzDbOF0QgNmL6TsaWi6FsLq7q/Q/t0zK4Ka6IrHywMy5NZ3S8voxxawHXBxMqCMJxlmPCY2sqqML1RB/WP1zncL7lXHqqqmun/UBgM5ZzDXuYG5Kd9sQ5mHuy5xu6P+I88lRB7xPFtxf7JrJHVoC+TWBO4fruO8vTvWsy3A6PbGa1iIjkEbuPCMRzXeEgikkStcq4h2wn5RZE7LC3o2gQYzDOb6i/gfuytt9YUNPxYm9Oy2kHiFsuGpmIPzIeNppaT5xXubYpQFyTCEQih404kBA0mprQtleoEamP9gOksYGqxPzo7m8pRjOU9mYtLhS0HBmHlijFscHO2rtZqomqILy0bW0HYqwlEmsZVL1IFBRmNBoHjoLYJW1wFUUgS30Iq29sgkNdhxHdfqVp/MtYd8NJlscGG5BeCp4E6OSEQ0BScPIV0IgTeH8Gz29oVdKxQEGI4HBnQHTgWDAUpOkkg1JrCNdjN+pAM7uUFy+js4YT5zo6CweVyIAO1Im4dpY6nGkUWmnHQJ3uCr9wT4R9g4TgXG4lQEGl7xNqsgFQm+kQNOLjr6E+QOOmkAvFbqgKTaqnq9LkQFk397gOBs39WDTP6MLoYE6XvlQzI0XqckAh29wYZUAr44YwiE1dHgs4QwkWNLvfW3x77/pf9H9bREQioMNSOIDQ/XcOHu9dk8bFjcBDF9SBecu4Ug6p6OZHyWihb7GNVWugnpX12gFtP9XfSSfb2gYc8BQ54XgSvQwq5F4ssFZBxwzrOwNpKGov6DPOMFRsocJsCKpA8CeKcaE6jnd2kwb/iLTgJGcIhyDGH0OdHk7yFpzwhmo8VeYpBIR3uoF8HR/KgbXN1pZgZ8NsCEppmWaxCXadY1zc8Fk/dVaTVqztjr81nEEYVCliVXK0/VJVmMaFM811EDAtFIBII5909PgJqjCvzJOpZu1Nrc4GKW6i32Laucikc8d1nHLM81OTpTAMF4OkJ1fhSPP6TucZOIwQGP1MHUJlGFMNxWIu6OFYc+cDtoEI3mEGnsf6gGmEI495ysNJ1fJRZE8FvB1MRl7hTKS4ShJzgNsOl0HZ5TvoLKazjc7aJUfbIefPFsqA91mmdFCuQCinH981FM59KLauA48OtnmECeEmmHRqv3AG3ODujOnmylQyBm0vqHk16hh9y2w/2rb5La+QAOxXzJOfc5dtnwcCbYOarvVNwRjWAQ9RrF05W6kmJByKSQYCBdycr2Ljv4FwM1NQXvUTUWD/OTLhrY5KB1dgAmGmSA3tijc8BWGRXcM4uIKTjo4/UgL5TTp95kAtHM6pM+r4go7X+ZS3oi6FESiAQKAGy8DdVxhhuGB0SNDoTOA4RCEUOl1Yf9znVRt6fwj0cpYHHS1zEHFbRl91D5SORLUOBtD3FwFYmGtp+X6jeLB37TrvREQGB/R5hlhYxj6E8+SRuP6W891OCILR5pqYj7CPdeebiI9zchDOSY5VPzyiytIc5zh/ck4egir3cESdRMxTEXvwfVmlTmcTmp7ZKmjf2HONxIubrmfK+d49OpeXQT0+NY+D4EEd3/MQKOlHu+a8euOQOobZxumMZhop4EpHIPulSy0mUIUh1RhigCEX+M11tB+2fYrELBfRb+FQXcL9PQPatp+fVcd0Nq31QcfpoSH1v7h0Zo4/FIBhmS5G9ZsUl2HZueXrRw/3MkthtmbNmjVr1qxZs2bNmjVr1qxZs2bNmq9tbQSia0AGNVbUW0uqKQU0aoM4aakBuREHaoDItS5F01BOAZIskAENkRRj0gaB7msTaUhkG5FBg+rtbqaBkCN9Fog3UgjDEEAQZXpKq4s8jKcRgB0iJERvUXTGyYMGBy98Oq0e7mrd+zSKkP5EBKdXdf1us6b5LiIQbIgoqKK+PxAH2mqt8x4HSECKrxiiDz6CKqRoU+AmjDYQWwZq44ieDjhIO/32rSRQW0CHEqXouJf4YflOPdnkCV80rXVAum/QCNzvDd1/DjDbtah3kHQzOLG2t2EIqvSjLn958KHe9Uw3ePk3Snryx1M1GlGSBqIHZUDUoXHKied3pvVkmidJq0F9P0+1G2cUndB3vZ6Cra7oyYyLPAyg/ZLi3NcHEaCKnkzVB4B8ikGUYAjoqCJQRWh7TQiOhHkf1ACe1hJdS8pxbA4U8HznPQGESiAaMUhBFTZaIGENyj5FnyDoFIBIlKHb1LRowx/EFusZidUjBrWGp8ikE7r3Swa9VsufKF/+LhfW/m4izrwFTYhWZr+laAdRRzQiE0lLdvNH1FMf0nippihq0vj9BCt4qr/S1P5OejeNVGETHaDzWgGIgPGIjjksm0Krgw43UG4GqssHyRXwRmy2qNwEEAnfeb6uiPTdsQXPZ/hd3m8L06Md10V8sXyZXuaP7ZFzUBwIr0JLx98I2li5rWP0ApAjFOxiG2O9loB4y6KevBCGbYxDbANEIJ6taXtcqGtaGA7EQOUaCF0tO7ZPouVOVjXcAClgOxOKPPATJXLtUl37we641jXpdhuOvtsNDSBizsPsn0TZ+tHUiS5sYI6NoI5JfzYp2rpucOuGIioc24goNEIJoE4ZPoDlVQYCmnQ+P2TpalDTYO3KWVAcCYpjoF8EYFADUYS1D5FDLsVOxF8UZTCu7YrUPtI1ibChSIN7f9+oIrNIAyQlmCg+Iq+euawoyeQYhCwiCB0EhN70AMcZTVfYB8FOimYa60IiBl06cyal4+bpBZ0vDo2Rrqr5yCEU0Dzol31xb2QkadNEQRU2NI25OJFlmkay1DjWEn1f6iLIZsAOGMLclMSYy3X6B/KP9q4zGKseqepmmEwH0p9pMw0NlUDUIZkZRNwPYMwhCtx9zxrmQ1KiDRQh7vsJxJnoagiQQgRs0Oc9ZDONQuCLaaAwy3INdHsgHJ9Y6dCrS+xjfTo3XQIasy+j9Xc4rwjhMxvaJtNAzl3Y0PmO/ZZhDuZAbX7zqIq++KEOyX50hUNWILZDJF4WbYwhA1pAMY+ktXzZrpeqOr8cGEZ5FLU89g1qW+IelajDMVC02edXajpeuajmHVkdF9k2iRZm/jgGewmwtOqvXGhsazsQnUDnPyoQgy4aioC2UwAFFnS70CrUeMtwBmH8dmP9GQ5GONgY36xRAQVkTAeXwDpow6AK0iHoREFlQTyBWA4OP9Avg6Br01HWim+mEIqIDAx1GiWdfUE4LdoVbCwGqc4MZyo60doqqCEpQLaxGBjAoMMOXcEk2gS1mJ0xFsVmFgNfFJNxbaBTNm2WCxy6sTOgTR/UxUUDceuSJ/W3pd2oS8QmbAwgXahvKn23I6BJwGkYKiEO5B4tDzdmBJ01UcSnJO2CsUoKdR1QuPDaFdeBaW9MY3NwQ0N15NFIoXedxyTNTeULDaVY7JFFPK9lnO2+/7q4xmnjxHa+phPFubJOylQH48B3uaRp5ERM2ki14e2saJCqQlrbgULvmpvTvn59Z7naaRMNOrexMEmgPbZJbw97D7hNhApgHbeCaKugz7t0fBGRwKxOhNmdcFjTsc8DBDrHHY+/w9HNGKwBhjDgmLao92ujcB6t+0wZRYQt2OB48eph8de65SNliUfCxsaeTjivOGXcVC+1vJ2GfrRJOj/olCBtmWOIXyxAUg794hoORrDI7vZ5v3TxWS5wowZVUsdCIwYjHB4hg4Kq6fKLe0iHJmMVcYw8UVWa20h4bdN3SGdm6Ac6JFmPo1DLJb1qBcqyo+FC75pOQz+KOMuMziCO71R6PJjQxb1rrFM/p4ypMo25zEcFmfQfPsNrKksb8Vh9ypj0WbddGXH4+Ds8y40Z6bMsU5adEQPRh1LO/sH4e+Wo3udmku3NiF/dLY9RONj8nNGsmxi+z3TRUcfvj2MdQKc6+8ciNtwhn9iojJmY9BivGJKAMUoHsfH1O7RoITyKlwK6iH+4BrY9U4XZzklXyhKRhoQjQUmD4jcLxVKqIZP+eX5e14vZrDqjuH8oVb0dezSumWnFIgAL3T0GnWGzc1BvndCxYg1xF+ttbac50JAXQT0ewNq1CEcIy+ORUxqj7+Y9Sp9lzO49fXrwQAfeChyqLlCDVPA4DrZnN3R9HYcDgY5CfpPADxq/SeoojXtBOj/MWIre8X/3Rzt7mHGMG5ebWu4cizk3TyLsUDagz4+ndCw+FtX9UQrjzCLmZ84fowjbUMQeg2kYlrLn/alu2CjSrGnrcGQNALDBtQ2dhozjzDGPxjUE10JH+tVZusqQV5V87zoJB+JwTMfmDSgA7+rGpTxe0P0hKfW7ctpO+Y6+iJYR4wLSCJhYRz+bSOIAAX2LtiOhh7wsm9OO7kFHE530JBD65fyyOlmHENNwEfFKD8IhSIcnHZsET3GMSCMuqKGqjnGMa1+GKuB49MKSHnjGu/tRfqctTBd8Xni3X+xSV7W+iXe8nL3mFOb77rtPbr/9dslkMjI8PCzvf//75cSJE8Yz1WpV7rnnHhkYGJB0Oi0f+MAHZH5+3ueN1qxZs2bN2tUzO69Zs2bNmrXtYnZOs2bNmjVr36+95gjEhx56SO655x65/fbbpdlsym/+5m/Ku9/9bjl27JikUh2v8a/+6q/K3/3d38nnP/95yeVy8pGPfER+7Md+TL71rW+9qm9FUnUJJoNSh3ppAEH+oyM4IU6DpkXEIFE6a6DzQgQj6IqIEEUD9B9hwS2IIrQhimAoL+M1wTVvpJqzR73jPDWNXgB1clLfHwfFNQT0YpnU4u59qhhHoKQaBITWz0gXIOowhVPDDJSBqQB1oqmnFRR3WZnP966nDujihN55J6HvN+jSXQRXiwhEipnsB7KOp89ADpYPAimKZ3gdR16pUE3KejKj+W4mcTKkhwYGrcBFt8VGNI1UzeZJQV+CAWdxigOVLAYR5wl8BjSjgzE9gSIdIB8kLF/reDysz38bVOiny0oHuCnV0Wyq+gRyN9KCMiKyg+pcpaReXyopQub0qp5GszwYAJdBsYm+5fVqUU/eqNSXzXVQQDx9jRHt2kBfBXI31A8aF54hurcF9HI8Bwrmea0zp19PQtOHFA1DSkF0XNNbK0KkZQR8IDevVEZG2ITwMsa5QZwuA4FdH0efqEIsheMlulNqBhTFHRx/OmX5amDxb0S7kvNarR2WQDsijQBoJUD0EJkz28qLiIn4oUBC0UA6eQuImGqrevpKBBIFMfhbosD8qK80jkU9OjNo+TUD9aht0KBitr2RTkRDDoOeQyOikGjAeFB/SwXeA3Ed/4i82htTNIOLth4FeqCKsiadmjQnog38ELpEGvL7bAPLUCbmWoGoDAplFIF4KGFOZn27dhGn2xzHWUZsmxNS0PRSpItB+QPeaJVXQgGnUTDmlrjqBrqB+FM+bWPNh75Ly/vQitk+iYSjuEvZBxFKpG0ai0ADSYPvuvPpJdCsaRNRRVsMAsFKpWr2Z0OxmPRv5GkI7yFbgShFomI53/I9zKtLQWfZ1XyEAJh/PzEYAw1JqjvGH/Y5tltzXPJuV9eKXck5LdRVYCbThGMCkXgF7A2iEEykEdFD0QMa2VJtinyACTU9onNluYvY4e+4yKFw38ycIpYmh3StxugTpAdmo9o2SWekQMnEmPbnKlVYkT+D2ozmGwXSr979LfcSO6HqTHVYlkXb0TTWQDHm3ERUZdIH7bkTQhl+6Km37Tjdu15r6nw0H9SyceejoZDOwTvDXAdpARzDXnGRmpUIfzEc0nzfjHA9QdH1/hDWB3NgGYXQbiNoExnURxLpaRvibp0E5YJaB/NYcxE9T6ThW1MvaFowFkd9wq18s3igd801FZHfZJuw3G/PKw2Y6wyi9Z8tqSq0a31Ayp1c1frNgA6/N6XI3dWGjuNEBU8kC73ruYqO7wxJkAd6kYhXIlj5zGJd63t/BhTwbp1FMCbcvkNFmagcPphBqI2EziNNru+ArKWICdG3F9e1XecwFuzr03TV0ecZuisLfwrHTHdPyzq9tKbfoSo2+yH7Ns31yQRD3msiL3vNHYhf/vKXjX9/5jOfkeHhYXnsscfk7W9/u6ytrcmf/umfymc/+1l55zvfKSIin/70p+W6666T73znO/KmN73ptU6SNWvWrFmz9n2bndesWbNmzdp2MTunWbNmzZq179de9xiIa2sdr21/f+fE5rHHHpNGoyF33XVX75mDBw/K1NSUPPzww69qUgqFWxIKt6SB+H9BIP2qQOgQ9RcA+syp47QpqvdDKaAvuggnh6ijAlBoWfDbs97xxRjrkEhGim20gAYMIH6a00acwizyivTwtIlx28Zzitx44VQnbtPgRKF3rw7EVD6l3vbZNT3xoNe7UkOsKKSxgmfCPqf661U9dRnEt/KHNd4HY2OcLGvcgjiQYOuIvRjqnlBGGScSiNRQEgI3QNkJ4j0G0t4xPhyfuAFt1GvkMuKM3AB0yxpiiCS9T+rc00oiWCuI59LO6jeLCAIrKT0JWUSQW56+nKqqJDxRAhSmYeylNtAwgpOTDNCIR4BenIxojAs3SPDxisYFI7owhkDGJQS5JbKOCCfGlDDiQiBGS79PYGcGy2Vg5SraLYP6Lq9rW5rqnpz2J73RJ3Wc3PQh1g2DayeSelq0sKB9iGNOOoEgxQP6WymjPtrebS+Kfl5H/w8uYzwa7aSBcV+JHCTqkDEYGeuUY5QT5diFMQ1obwCNDWGqWneMaNe8kQRb1V7Pea3Sikq7FTFiADLmHJFV692YQBRFCTpa14yNSKQPEVkLDW2nhvgBFXvQNJgWGtFDPEl/BmhlxtlzxwWKZFDsgmIQTBdRY8yHH5KSiKVSUMeWCYii0HZEdWwjEo5x+Yjie3yjE7vqTfFzvXtGYPQQUF0tLWsi7njNcZkiNUQD1BkrDmivlBGXT/s/Y8UR+XhH9symNPsJ9hARxni3fD4ZJHJQn08xRmHAG82xgrh4LI9lAymq72dg+yrKzEWE1o24mcgT8m/GOsR6Ee2dYj6HkppvQzQISwvWvR+qkm2eiFoiRQtOB9lwfUK/SQQX0+6HEOb7qj7oSZopxOY9xxINyPpgLMNVoBTdvPLdXJOwLNjGKHTgF9+QAgFcc4wBMcl+Y8ZAtEZ7Pee0thOQthOQAtZnROIQccf1cCYBVCnWakTUMdZXHu9sIib5s3MqZjSW0/GYa6v5pc7YfN0ORZcviI7XKxBcIeqQsbnrQF4xXUQpMcYa4xhSFIX7IBoFEBhTPg7UZqX7XZZREghPoreevqhr9iHcH8sC0VzWtBMNmQYCkYINrOPHTmpcxxsR19Eo95qWMdc8rvgjx+59EcSshfLi9RToxPpnBevo803MHdh75LAmGIDIUky0LpfamoZnatqWKLTytqQiBvMeaP4I5gjOk3FH644x5w+GlI1H0bQb44qWo1GYiqi8761O966nU8t4Hsw3Ix6zjq9zEEMZimrdnCp10IaMRXjbsKZrDWKoRAIyXUQdMh4+UYeZ8Oa1roiJBlwBqjEMNB7fyX1nqct2ywCZmQOTL5iG3gFFYI33aT6Oz2h7eNMeRXK2sSbhvMZYkQsVLRsKgy5W9T4RhkGMja7YFNGF5YqOOf1Zrd+1spZdIgdEM97njkXN1itH5r+uDsR2uy2/8iu/Im95y1vk8OHDIiIyNzcn0WhU8vm88ezIyIjMzc15vEWkVqtJrYaGtN4Z3GrlqAQlKlHQS5sNBJlewgZoQhuLIUSSgArqDIJR5gHjHe40rsaCdgqKGVTXQaGG8l90Hip2FELAGsYQUeFvZ0BV3oEKr4L6AQVlQ2fSJzZ031iXogkF2eqy5im+QztIbU3LIjuIYPZQSGtD9KGCtAR3QlgEEwWhs6QscFE8V9JFI52iXPilctrZXScRv0PHRhtOznYLi2YodzsQvpG293sYVtTB4NEE1Z3K0nTeoMqkjmfy6U4Hbx7TQbq+w1tZbXFZy2Uio4PnnrRuohiwfXdUqW9UUq6D9/BMVSnJp0UnLoqrpKAyxg0QzaU9uVRmEXOTQcVHUog2sGE8vq4Ozw0oe1V94NYhH0oK6e10wiVAsQ/Bmdco6LfOtTuLgTwGXi6YllagTAdF5uIqFlijhd51tk/fUyoh2Dv6UAjOuRb2azwEWK3rJF2pwlGI/mdQkbv3HdCWA1Rehrp4mwcopDkvQORoRMuAlH0yfQoHMY7xPbL97PWe11wRFVIbuTmmk2h3orOgZt9cocPFZyPCDX7Mp1/TOWc4NtCfqfJMEQo6Lrk4pSPAveZ3qEzs5/xkWdBpSTozKYx8ns6KupEWb1EQLvyYTgZ7f2fueRExacscu+ks4Tf9BCPoUPJz4lCkiov86ajOBxTkoKOn7kNld9NDB3HQR3yEzsl8qNC7Jv2pwHpCO4wIywZpxPu5wSKtjEHuT9Z1zqBT0J2P6ORdh7OP+eDmNAQKLNs4nYZsG3HDWcoy0/xRpZN9jm2b6sRszy7ll+EyIvh+HYd7FCrjYYIhbITSZp+gkjJpy6QzX26oE5XOObZV1kE5iIPQ7jjmF0LB7x2G2jL6iuEgRR34Ue/4Wz/H6bVur/ecttGISrgRk4U1nS/2QI10GY4IHsju7leHBw926XCkUjLXggxFQ7XjNTxfKOn11EjnGW7IBWt9ri0ZDmkDzitSjOlge+qsrrWv26mHaMwHN/N8D9fAUTgTaIZDvuvE5J5oDoI1/aCd5jLo+6A2M8xVPqHPMI2kJI/C4bhQ1G8d2qVjJ0UznllRx+WhPm1LHCPccWYGhwRPlad6129Na7zOaYxVGYQjyWOtn8f6oIi5ca3JPRfEKjFGTof1nbcgfMmb4urkK2JoobPQpT+X8M0MxrCajxjMZYzFPDSJA5Axh1AiNIaruCGndUAhrUfWp3vXfaDqnqlrvS7UNQ0MC5Pq7t+P9GtbpqqzsQ6AM3Eiod+nLcHJOBrX99Dxx33QrpSOHRSJoVVAAy7iPa4wSwoiKkUIxLDvpSCec6qo5UIRlYOT2h7oID21rHPyeE7rb7aoZcq9fMsHsLQGqjfHwNlCblN6CY5hmC/uXYPwbZVxyOEKU7UY+upl7DUXUaHdc8898uyzz8rnPve5H+g99913n+Ryud5/k5OTL/8ja9asWbNm7TU2O69Zs2bNmrXtYnZOs2bNmjVrr8ZeN4DIRz7yEfnbv/1b+cY3viE7dujpy+joqNTrdSkUCsbJ1vz8vIyOjnq8SeTjH/+43Hvvvb1/r6+v68TkiLSIigMCUYAO48mJ8CQ0rqdHzRhouDj1dU9jAqNARAC1lnpWT1A39uGkf1JPGcKX9JlmDqfefaA/b6jHnAIpIQi2NLOg3gKxSMSbpCESAziqC4VdLegJUQBoocUl9YwTJUlYbDSq745nNI21S6AV4/QhCS//HpwmMugv4f2E8dMY2Jgn/G7J1EhbBsKKaCsHojZEUhloRCCyoqCF4iBGAkCfRldwqp8FpQmiGYELeoIQ3Ks0HxcJV897C+wMxvU0ntDovqi2wwHQhni6TupUBPdzOJm/PXFOk4tnGjy5BNLleH2sd/3bj/4/vev7bv+CiIgs41kiNdgecmE9hSQ0m0FuSX3jqRMpIaRsUNiH7ZYUdFL1Nza0nkJZUDK6AjeroMi3ckDrrWobWwb6T2p6vbiqfSuZRB+OaF7XC9reHdCGw4CWV8ua16WqPt8EYpI0Y9LwnW6fZzsNQTgleRnU+BvRJ5CPJtok0xgA5VmAanQY0Rttv+0ihFuv61nVFbMrMa8lgnVJBNvmKSSQRAbN0IMeSEQRkUakBBoUP7RNInd4vEiEFVF8yZi2WQb3fg6CS7ti2rc5RrknxxRXYFBwIry+tba3d/0m0G6JlvMSARERGQNVmag0limNqEOi9fh+Xrsnx3MtLd91fGc0pKfM/GYWYSAMcQGMlzN1pUgRrUz04hAEZohIoKgEjXXJ+nbbG+eOEdCZzHcA/Yzy4thN490a2jUpzETHRx2skQxhGG0fpDATwdlrYwbt3pu+z/v8Dt8XB4qQ7Yc0fc5lIUfvE8lIFAnpxPsTimC4DNq+i8BjXfvR9In+ZR9j3fC+ITCDZ9iumVeWGUMLME80jhGucVxiuzMRykACI70Gihh1RqSNnyAOw7n4PXMt25WY04LiSFAc2TWoYx7puETKR7G2M2i62DOs1rRtZkEbZgibsYy3kNbcOR1T+ycLvWuXWkiUXwTilKV57HHGtG1eWFV0LlkvO/r03dm8rtlJW14FLZr5uFDL63vS2sdYHqRrX9zQcb+/K8zy9BO7evcSkzpHZIewb8O6mGI0FIBh+CQyfygwyPBURCNS8HEDKDAKsJDuOhPQsmzEOuXEceNAXBFvHFtP+qCbT4Ju/Lbkqd51Bvko+wmYoR0WEUbsGGjLQz5CaCXMX/FuesgoiZOWim/mfRgHx8AW2wMaN+eRMhhd3B9drOZ710QgprE3/4eVfb3rN/epwA3nxMtVrZunFjsI0vfseL53j2uCy1Vtj1nQg+drukaiEbk3V4VgDMqp6bO2KKNd8T2Pz2mZDaa1nga7/YNrLtbd86s6X0xmC57ff35Zn7luQFGoDL9l+FCwd13D/o8IxAWIxxAN7CcYOpbv/HZ2Q8uLfZjjw55xbTNMywJ8QW4Ir2bb2wfjZa+5A9FxHPnoRz8qX/jCF+TBBx+UXbt2GX+/9dZbJRKJyAMPPCAf+MAHRETkxIkTcuHCBbnzzjs93xmLxSQW26xsF1yISTAek1YcC78lLGYPaMM1Nt4YL5oRLCyzoDPjO5VS57dhOPKcIhTlFGEtAcYRAwy8PYmBAbRaOgFCSSzm4QhtwVnBOIwBxDUzMNNwBNDchWL8EmiQ12nHohMugGw0QU9uLkM9CurB0QmFQDMOARd4I4AmE3bchHOQiwRjkgHtgHEA3DgD0Yw+2yBdE04UOkiCVNGmgxYL2NqoTqIBOECwP5DaqKY3sI5yzej9ZhrlgUk3143jt5CH2mi/1kcWMRqoysSYgiOA7n9+7tbe9dH+c73rxagOMHtAbeYGKIsNBR2OVBbN4JlP3/mZ3vV6l4LEOB2c2C5i4uEGkzElmlhMcmDngomUEDoTqQRGYyyHlQ0dtDOgbVRAl3FVqxhblDE/owVsPMOUwMOGDW2giPYWwDsTL2g/q4zitzgQiA1CJRNlYKggg2Lv4LvhgU67aWKcoQr0+nUYQxinlTEVV0EFT5Cbgd9u6PtJkSZJLOge0IR4d+vZlZzX+oMlSYZChiOH46jhyOo6N+hkoHNgrpnvXe9HiAM6Regc4AKM9E4u1um4oPG31yU0XqqXsqyIyJGkxkTy+ibz+cP9T/eueTjh59CJYWzh9/lOUhvpuKS6L3/L73rRss+B+sMQEn4OudOg4O6J6iKU1NF50JOfqmg8KTqM6IyZjkLVD3OZQQHF/EGHjdvGIo53HfDZVEDLyzy40meGSUFF2yggLePYMKWoLA318DwcoXEf6uswYmeVuuWd8VEup8OsGkTsSTgwSwHvGJPnUcc7Uda0CBZPbCdGfEr0A9MZvdmZF/FR3ZwFrZgbaxr7hBmbMer1uNHGSV/nd1sR7/Ei6EMPdvNBenLDJ45q0HAaah3wEIJUL8ax8nP208nJ0AbXul3JOS0QcCTwoviTXM8tNLReNrAmY7gZOruyiI04mS70rkk/plOAjsXsuI6vdNq56ywe2B4e135VH9H2Rcp1Avlg/+XB9lDa29HEeIjcB6VBnSTYguthroEJsHAds0P71FlLVVwCMHbkC57f5z5sERRqhvQZSOqej/szWrmlaeTBGIEt83CW7E/rPOgq9qYx/j+0rkrD1yd1jbE7pvNtUjSN70yd7F2TklzEWptjdB7zRA0bvaGQ/vagaLmW6DRDfGOG4zje7IzTt8d1vXMZ8fxIrY7KZsejiMg4DkEXAdTIomwOJy72rk/VdG0xElPnMeP53pZRUEorrXXPEDi0C2X9res4ZFxCqhoTOMT9JJ3FtHFQm7kXXAKAZDyOcRz3C3WUJaa164e0LZmhAjrlyv5ZBoX5QJ+2pROruhZke2e/NUKWwPE+nNFnOEbRr7FQ0rqkLsRYWscoHrSM41DE7a/BBA6cV7SOGJuVcSUR5MaIze/2+cbVVGG+55575LOf/ax88YtflEwm04uVkcvlJJFISC6Xk5/92Z+Ve++9V/r7+yWbzcpHP/pRufPOO62qlzVr1qxZe8OZndesWbNmzdp2MTunWbNmzZq179decwfiH//xH4uIyA/90A8Z9z/96U/LT//0T4uIyKc+9SkJBoPygQ98QGq1mtx9993yR3/0R6/6W5lzAQlFA7J6G4J77wQibAmIuj4IAUDtNAhkTOIUTneUMdVTKiVtmTRhWQcaCQih+Fn1atcPAiUFmmzosnrkSVsm9TYIxeBwCcIew8grTlR4bXjZuwq/9TwhdEAREa0HJGUINOfQIMRg9C3GiSBP2IhWqbQ0Hgq96jyNYoBf0s7nEZiXp3mtboBfQzUadM420JMBBgctA/E2gHIH0jAMRCiRZRCRlNg8EIvT+h5D6TsB4RvQ7SdTBRERWerT0xTCnnkKKTjU3RPXExIG2f+Vya/0rv2oOsdrY57PEM1BShyRB0RQ0Fx0B1EQyzjpTyIfFF3wC367WNVneHI0D4GdlI9iHU+DXnzi7VoatEuiFDe64kIMWt+E6E0LYkbCd5eIKNbLYEXbTAvjRWUc9AWKmKDt1aAgH4KSepTiJhkIl1Bl2UUvY5wjTyK8hjxlSEkGsiTvrZpMAaEgQygkoX42A3RxF53NPrMV7UrOa5FA06B2ipioMSr/uUg3onV4Km3SnUlt9kZYrQMZRTQgnx8P6Gk4xTyI8gqKNxqJaDwX3VcwhB4Yg0AvicIyRFcwJjGNyZcZq0RM5UimazKi6D5T4MW7PNxvEYnnF06C3yfSkOgMoio5FvuhTFl+DMJufBd1XPJBXrrP891FAwloSLXhm/qODNrpMSA5rwcicxJhLBpGHes/BjCvMQRGDM/sMSjMWjcuCtKPTk3FYtYT1y1Zo1x0HUc0G+ldRBRyTn6qokiQw3FFiBhoOSht07zm2xRUKQd8kMAFIEgGQkXPZwQoHeaD6L6WUU4IhwGUDNGkbHte0dWN7xjISKBgIWLQgEiMQSN3tE0m8c0SRAdSkL3jmsCKqKhdyTnNNfYx1ksd6+IYxBPZHinsQeRg2UcAgWi9CH5LtN5qRdtSossOYrqYXr5vsaDz3u4RHYe4vud7iOijGfsgXA/EIYBQ1f7M9BSQ9rAHw6MC0ZddOZ3TuKYmxZjleK6gSKZh7LcuAOF0/YjeXwSSiuV7tqD0PKK2dmZ0DcHvck8wHe8g/QYxT+7LK6qMxvG34Gh5lTF270bYFoZpojDXJTA2KBz15qTSeqsO1loYl0hnprlteAUU48+tHu1dvz//eO86b8w7WLthTuH4zn3bIkLUEMk9GPGeA4oIh0H77Nnbe9c/Mf1Y7zqdh2pxNz3fW1FWxPU5ZbhQvdhgG5LhgrXCE8tKNx4AZZfo1MF+XX8sA4E4mtD8Md+kBOfhV3DZfFHMpexXDKlGtOCJSzqXD/djTwbGJanjI1A1JxKX/o50TNPA0AYUTmIorirmRBfBzf7GEBF+eeJYNJqH2noXed2sXkUVZsfx3rTT4vG43H///XL//ff/QN8q3FaXYCJoOIMc0AlDQ4jDgsJMPg+n2lHEuLhOKzPzrHb24v7ub+EUCsVBNwY9ObCiv6vtg7MNjixSHtukQoK6SZXndgKKTRkoGJZAkUTsjdQFxGLYCZWdle6Ek9L3GeqsdLDRmUhl4oD3fSosG7QWLBSPZHQBTSg1pdovlZWytTOtk154AHDyuHbesxudzTQVqUlBdTbQNnJaZ8EYKMYlb+egYXCWOKCD1nd513EA7SMEpe8BqF31RzrXhTUdDPtzOuhQ9apWU6cB1QmNmFqYfDgREUKeTyhs3YhVGeTmWMtsHRuEosPJinD9zgaIaqCM1eQXpygU9N68McZjOqLlu6PrcH1xngy1LcSg4CJzo6r3F9d1UqIiezTRpYwhJlyTDkks0jioG550n/tGuAE80kY/C4KSzLGG8bUagwizsIKJGXFV213qdLgI1Vg4G1tJLDYR0zC4DEoMqcocF9D2owU4EEFnrg2BStrdDLTC3g7trWJXcl5zjRv4IK7pVHKdR3QQ0aE0CsosHUp0YNDXR8osv0MHnkGFxMK9BeomwxAsY25gLDN3LOCYcB4x/3ZGQRXCoplpqSFPZiw+xLbzWdjTofHtosYAeltG1R2XsaEw4kPCXIcUxzk6eZM+VFqWXSPovWhjPTFWpOGAokJ2W+ueY7QfjZxOKrfM/NRyaXRyciymwvIR0LIZYSUZQJ6oKow+NucTn3IyrPMnnYYtQ8myk6cSHFMFpJf9gJTdSw3d7I5is8n+lDRiB6KNw5FO2xvTMuB72G7ZP7yM9UXHHNsjncJ09DIWpxknkkrYdHZjvsfmlGsOru/YPnhoaMTW7Cb6FGInsm/TzNjNjEGm+fByeouYYyCdvgPo/1TCvtbtSs5p4WBbwsG2nJrVQ4WpYW0DO7I6Ty2CHlyGkvJoRuejMwsaLmc4r/eHsWlfYexoHI4SgHBpJd+7TkY77Ycb/DrWqOcu6zf3T2q/5tqVNGsaHSoVOCLp8OQhEh1vjKs4hviC0zk64bCO7TpLh1FedBrSOXhwQEMDPDOjysh7xvQ+HaFjOf3+iUUN51Cror+B6smYbKYzVp9/YQUK8lEeLnXqgWsG0nSHQpoWzv1nGghBwtAkGH+mwwXPZ2hnMLYsGk47HYsGMMeNwyFWRt/a332G5XgwoWCLrxYP9a6pLE2HJJ2GfvPzs8WJ3vW7+jQ2Ied4zhPHK95gknfvOO55n+sbNw2T2JP1hXWOuAi6Mw9q02Ee7Gjb35tTJzzn1YG8tiU6IkmRZkgvP/8BadGXuvFCB3L67hE4IVfrOm5wP8k+Qacl7dSatuVBUIiXMKZxX1pCGIJdGU3vUk2fp8OP8Q7dsAGkO/PvjN/4wkV1fk6P4cADY11Phbn5yg/Ztkdke2vWrFmzZs2aNWvWrFmzZs2aNWvWrL0u9rqpMF8Zc0TEMdB6QaARI4Dc8hSnuFe96tGwt7eVB5U9sYKU92k8EW/NrHrbKboSOqOnudVx0LFS+D4uiS4kPTAAyqMTBRoQiLrijfqeOE7EXJEE0hAdCLQEgTQKJNXDHwZKieVIpFYFJ1BEA5AuRJUoGk8ibspf9HwmnYJyWJtox863sjk9RSoWceq+AxRq0EJbFLgg6hDl2wrhGSI1qewMpBhFLdroWqSXGmiy7inO6ICevlKFmqc/PJVZ8UE7PFxSFA2D7DNwP2lGhmCBw5Mmvc4FSVvT6xAQBMUuhJqUPIo38ATxZEVPB3lyxKC46w0GxdV6pYqbn/Gklyc38Yj2SypyLUWARuzSTxoQMHKoNAyouMG0BCqPAkWNDB9C+yFIEeEBAoCOh4AAJLWFysc0hi1wD06NsYXUarTfNvsSkckMYVDW6ybyWgMqmG2c5RHpIg+DPuOstc3WcMLScEK+FBMiE100Dk/g/RSbiSLyo/hyzHm0qEH1DyT1xJx9m8rLfiEOeOpdNRCDnTZLOjCRScy/gVwmegon/XWUC1FbMSCvLgJltgNU5TellaJESqUfcm/FQ3Ge5cu0M/9EQxHtSWP+Go43epNl9ooQgz5luY77rugK65SoOSLViGbzs0W8e2eYKExvtCXfvydSxn01Ils5qDE17e5tExmpeS4BZdfAPE3UIfsTrw2RIcyTBu0byD2qEbPNEN1L6pkXQtVA5TlEwWrao771DuRlQN+T9VHoZluNvAxlX0Sk1PLu2160/d0QnSFbwejbaAOkGxv5gPCNXwgDKpC3LE7iqluzHRRpB2UadF8i0tiXiNQaSWs/IVrPVQwVESnV0QaBtCMryk+UYHpoMxL25AVF69y690LvemJUEX9MLy0KpgUZNnx+Zh3iR8Ma2uH8mt5nGaTiuhczhASB4iuiDFZLnTGbAiks6/39WgdELt68U/depJfOlRE6CN+nSEQg60375vNEW7E8Dg8p9dVlZYmYoZpc+7+rR3rXd0AEhOEcRoEupJgJkYZJ7NtymBt2IrzG7shzvevj9XzvmnsxP1s2xssushVzx01xbVfXxy71rp+qTmnaEfKC3+SahCjMoWG95nhJZPYTZaUccx89W9fxeF9Ky/25kqJSp+IQbuu2jxGw5DjmHsqqwA3puxzruf/jvH62rCi+BESyLlfyvWuKrlTw/r0ZnWOYvyyYbK6gCdGK1+UUSfrciip3k1YsEGihUOxSVed1k4mpeSIymmJFEyktP+5dOdbx+Z1ZHYPcsY59mIrN/F0OKvAcWxwPQaemeK/jvczOrNasWbNmzZo1a9asWbNmzZo1a9asWfO1LY1ADKxFJFCPmAIp8MYSLdcEqijUj7gMQPS0G0Ta4EPubYgSMEYY3xGbQ1yy/UDrTOopgBFLDfEQA+uI4wc0W2DDG81mxDhLAj044i104qKgGEeaccYZR9EATPl4rHndnNMTj8q01sH5mp4m8ERgIob4HS3vk+MLNUWLEJVxZkPf6cYTYdyNcgUnXRHEHgkAwQYUJlGHAQiwBGfxPMFnbDOJtuczAaBPBWjHOk5Ii91GtrKhKI8AUGtrOEUyUSn6PiIZiI4gkuB8XcvrswVVB9qb0tOa/RBAGQaSkDaKgOwMlu8Gvx9C7CUiPhg7MZfzjt+4EtVTHKJlTLSpnhglEFeDJ0kUVOEJTH9Sv8vTnXRcT1vWK53vVhF3pw2ELmOtsoMEMojJNoR6Z9xDXuORQIzIPKCOgSisNhADi2IpQBg6EGkJFrtl5g3WkXbEGxnphLzbMmMm+sVyNARViLDsvt95Bae21jrWkqC0JGiMhYwNyD6/5hEDMYbrXACxy8S7DhhPj6fbN6b1lDzmEz+NFvRBDM0jFt84UF7ue16J+AnRd7OIZbQrpmMY53vGSWPMIsak43hJlBJRdymf+IX9QBIudfPX9olTyfIlMosxhdZ8Yv6xDRBVzvGdJ93stxSsyiE+EVEAbY8zZKaLqEvWO/NEZEUK48NuvCcJ9BvjeRJxFgeyrNj2RjgytSFkm/F8yx5jzVxL5wiiQI1YjhiYiUxkTEGWAeuA10Rwcu4lQpVzOOMFZ4CUcPt00NEyIqKRRtQj402SFeCF/hURaWHeyRjiNYyNCPgF7JmyBr/fl9C+xf461EWp8H3M85ghbgAxDfQ3BrNnbETG+TTjLhMRqnVs7eqY4wTEcQKGtFYescCaPoJHw3Htq3MQRYhCFEXA2jmBWF97xnVuoBGBw1hmLxS6Mf0QL3EDqDmuYQwBGCAaiTQ6s6r7FyLx4jFt12s1bbPcw8yta7ummCTTM79BUUF9/3iuwzhaKeucMpjSd0eBdHrsvApb3jilSDhaBd/sj1OMQsdIppFIQyIm4xSGQUw4Ck8QTeaOBZyPbsaaxETe6zv6Mc4yTi7juc9hzzkKkUdu+zMQrNiDMeov1m7FfUVzngbCfALj7t9vdGIc7o4pso9iUURa344Y9WTy7YEI2f9eu6V3/SM5FWAhUp7j+LGqxka8LqHIQDJM3po/2bvm+mpHXPfptOXu2mIiqn/nfp1zQQM6D89s6HxxMKV7zg0ftg3bA/sc0YgDMe1zRDWeK+mamUy2fKRzzTHnNHwKNw8q8vPEmjLm2MYp0MJ+QF8J96IrtYTnfSJ9Z8va5xm/NY8+x3iS7rizAfQxUYxBMHMnMspCXEbfy+Hd7lhbb0Ms9GVsSzsQQ7WABAMBaVLkAw6gOlRQhUrGee28pCU6mDiaw1jAupQ/LI6pjEynXm0UFBM4JAOg+1J8JMj7oCuFyljgJbj7hyoZRO/qI/juBuhbg1DbW+6835kAvQMCIhinpQGnl7GUX4FzZRDlmAUcGR3zZEk7YB3OoFtz53vXDy2qU+u9owob52KdatJrdR1s3A5DumoupZ1ieRV03yKaO9YrpGi2EnSo6DOJOQjT7KaTCM4VOptSpJd70x3cPLXQ7paL2rnXmjqIcIAjXbuESuMGhZseboJ3DlO5UmuWE2TOJ6D/Whs0DNCuemnBJmMOkxCNTow62js3tXSGcHKdAGy9yQ1sQsvvhYK2tx1pHTSfXVBYOss7lYCac3cRVinDAZ2GYnNUv9mCYE4Y4QPiz+tvSwd9BmI68EBbphAKnflVhiFAmAGGbqAF653ftmPezr5wCZQ8PBOeg0jDBA5lDG8iaEcFjJdpfkuv3eDlLR/qtbXNlgrWJPmiPkj637IHFZIOMB5SsC/5iYDQ/JwGVEH1U231E3Kg44KON3cDMB7RRej/e/nO3vVPjH3PM4183hSa8RYHIV2TNNmVtncoCDqY6CgLGoq9+i1uDFwzVKMxH7IsMj7B21s+DjYaqc1MFx1+uzzSJeIfVH2iW66s051R7zQyFMYyArzvhOO0jLAYMTj4qlhR5II6l9OxGAxiE+9o21tpccyDMF5w81gYR7nsiWj/MQR28Lt1OOHO1HQeYf2yH7QQ+2QA6wDWh5/4CDd4nIfZt916oDga50/S84y+Kt7zZzag7+Hca1KrdeP7reL+3vX+hNIM2X5uT+uG1298cZ+nEADFEOo+okykZbNM2SeYFh5+0JgnK6JydSwUbEso2JbTM+rgu33vud71M3Mq6DAKoQ4aD37ppMrBETk8oOMPD5CHEzqmXy7pRp1OSdf5VxnWNrhU9nZ00ZHHvUceAoDDaX3mMhyCdOatVnSNv7oKoQUctHOTzzxRA4cO9mLXKUmRlVnQkJeRp0xG303xGirIDkAMYh3OiiwctzzEOresjqSRUX0PRWIoJMH7FfR/91BtBeJMHM948DAR0rX+OMLlpAEa6ceYexkAksdr2ib3Rbydzpzj3p5SkREzXBfCe2GN9I7u8wypcaym7Z1z8CHQmUPivb7noeLJuu5rCLzgASbfwzFyEpRklutwxLv/PQ3nX7ZLLeY3i0BdEfzSwL5/ppTvXQ9GtW2cL2uboZOM1hf1FlRZrlG8C4KhWLtchnPubKvzrT1Z3Quvw6fAtrxe1fsLlzXth/fp/DUIx/hCUfuZISSIPleD8rIRcoE+jrJ+l32lUNdyXe46Gfvxfb6PYQ2YlgzeN4f0uorsLZ/DHC+zFGZr1qxZs2bNmjVr1qxZs2bNmjVr1qz52pZGILbHqiJJkVhcT4CI7qsvgLoA1A+h6AHAUoMr8ELn8c4uzTBIMRHAcilsEkjidxVQj+NAofH7AOa0QIdtEnTIOJ5r+q3KlH6LaRDQImsQNwnu7HiYGwX1TAeQLoc0a6DpogmcaE8CvbAM2hXyRKEQ0kt5erbQ0BMBQpP9hFaWILLhBkEV0dMrCm+Uat60AwpWhEAXbwGlKaizFlCVpRQrCu+k2EQdqFHQ3YMZoGKbOG1vdU7bSK8f7dPTH6LsCqA6XK5pmRJhtCba3ldwYtYPNNAEhAOME35RY5D7BE7w+vDQFE75ak4nDcU2qGH4zkqL1AFN+1xDr58v6YkcLYXg+xfLGmQ67BN0myI0pIPtHdDTJtIneNrkouXCQAXHotoGGkAdZge1TIsF7QflQ6CYAelIBLQkiRYG6jildclxjPTrjX5tB4F5jFceYQkM8SUgFznOODlSvtFv2t6IQYq1NLNAZEE4JYDwDq1un2+17VnVD2JE4BC55qLVDPEBH9SaKVAARJhBU/V+T8NAC2sfq/ug/vj+jIGg0nbgJfjx42OPen6TiC3jd5gniXqk+SGjeNLKcdQQrcC3jPR4oAeJTiMijN/n/MZg70SEETFANKBfWgxBE3QzUsP5DBGO5hzQre8A5rSAd1vi7xqgwNZAt40HvPs8kYmUkWlAICRIdCGoZEFQF/ktohFz3c8W0TaIOiRyj6h5PmOgXH0EsAwxI7RPX9q3vLwNGAjdTr7rjjeDge2BbYzhA3ifbZz9kHRf9okbkjOe72F5+CGTifR10+MnssS2VMV4wvJ9ZGN37/odmec9v8O0kNo8GlF0krWrY7VWWFqtsExN6DqMIiD7hhT5Rfoe1/VEAM6s5XvXpCImSJnF888tKVJrV17XphQgcCmKpPudWlLmz/iQrs255nzqlNKA89ed6l3vSBU0LUApkvLM8fWGnYo+my8pMohIv5Wq9u0dWU0ny6DSZawQdZiL6rp0EYi+8azmidRKIg1p3MPxGa6jR3KKfuO+hfkI+qDr9iQV7e2GG5kKa30lg97otDkwooIB/f5oCIhxQDZzoI7eGFW6LcNifLuiiLtpUpUbik5/rqz04HdllT13DnubQju5KR/78M1zDaXaLrd1b8L1F1GKDNvyYOFg7/ptuRO966fL2iZzEIZheBaiB7m+nINgzEBEy5Jho/q6YjdPr2sZ0U6XtYxIzWVIgm/O7+ldc9/mIuFERDbQV9hXhxF6gIjFDVCeL5a0Dtj2XFr96XXt2xMp7UvnS4qGLCC82MG9Sv9+YV7zt3dE64MhsWiuQMmL00LUbwOCLWkIJ3Gs4XWm+x6iC4livDSn++UMWIv7sBfO9mtaXHRjs/7K92pb2oEYCDkSCDlGoZJmTJXi1BnNavUwHGWgAbb7MTgxvo6rrMU9NeMFIo5hNIGFFt7tYLMvQ4hRyKSDSmusWbFOrvfDKYBvOaAtG0rCYWzYus6QBpyGEThf2z7U6mYdan9JbXBh0MVbdDhicF4qaQdhnA4uQjlx0RpUEYpoBzhd3BwD8YZ+7dzH29q5k2lNb2VBBzIZhaMHDjwBpSlI5yrK14Ezmsq5rSw2Y1DRFpQTVZpcuHELTkvGu+PiaR/g1oRpG/Q1bE6pjkWFMm5sqUr2SE3VtkZBBxjFb/NBxPoULoI69zOIYRVn3CY4HPJBbzpYBorpnOQYx6sS0/fn0R7WAZ2nYtxqXd/DBU4JMQ4TEW6qOs8kMHjXQR+OJf2UR9EeMP4EqNQX8d4EttPezg2ur/pAYZkhm7gP8TrXsPHKNTe9w4jhmUY7hSM4VAUdI4YfwBEZWsF36IhkvvHZnhJh0NsRYW2zFdsxabbCUoMji/HAeN9VQU35qJEaTiccDFxGiAEeMGR81FmpFDsZoVKyt7OCzgQ6K9i3XacWKYw0LozoMKMxdqBf7L6MaP8xHaE4HEAa/OLZcdNThiSf+zxpQ35xFPmduqGw7B1Pj/EjWZf8FpV5Sffyo47XQNX12sjNQKma3+GGIx7XzS7zVEQ3L+H+zrC3Y3G2hYMYxqzFPBwKsB3AuWo4WgXPu+9DP8G81zLaFeIJI8Yv4/Yuo0xZN6yzKMZ3v2cMJzXS5tfP3dh9ZnxD73nEz2lJWjjDirBtsI0XheXe9nyeDse2Qc/n4QAcJt0y9jtE8lMRZ55uT53RNCKmoV98Q1L1DCVxH4e4tdfX3BiIIayJ6FQbQhwz0vCem1XH39unT/eud+ahiIxDBTrYuObb06dzFh0RFVxfLORFROSOcQ2vVM7r30lb5p7l9v3netfni7pp35VRhxHphEOgBEexFkuGEZuf+yM4weI4ZHYBCC9Om0uRpqOCTpbTcIpS1ZWH8tHg5n3Ki9/JNPKZQdC4GWPxzt0a7iCLQ+amj8q92/+NeQ/ryFxQy3Q/gAY1vGMFsXTLuP9cXQELh6IanoHTIdcl/SE6hnQPk89oXXI/VWizHQY35cOMuQyavOM9RzCmbH9Yv7k/pWk3DoXQZqiwzPFvse4dwoV78wcXNYzF2wfVOe4ewo3GdZ+5BCpxCuW1M639IAtVZaozz8Fhvieje13Sk+lYLDcR4x+q5mGMBYwHSLu43imP3ThIYF+iQjjjldKo3p5Gv01ir59Gm2T+GBc0E0G7ggun2ND8cY3Gfu76vUoe90RM1XjqLPAdWXy/2vVNNJveawwvs7AQa9asWbNmzZo1a9asWbNmzZo1a9as+dqWRiCmH05KKBqXwu0gh8ADGwIKrEJq4Yp6d1tQcKYKspOH53mp87wzgGdBCRRQVJsQHyGDp5UCigcQnTbVoUmB7QeaYw3pAg3XIXLOO7a4RIGa6j1S0vfVmV6+g8IfRYgrgNIZwal76KR6uEOH9EUMGExPPU9jRuJQEmZQWpwYUV1pZxqnj937SZywtUEdDUf1fnxJ310eQOXwUJqoQ9I48UwIqEOiSYkkNFRvEbCXdNRsl1YQANqiWIEQQQQneSt6kseTTQqt3JbSE75x0OOoMpaDGmYEiKTrEDx4Cad2BZyCnWvoSdlT1ane9dGEngy7Fkd9xdGwCkCxLABdQxQGEQmryN9ApOT5DMV5yj4KcDyZyca1zhIeqs0MbE1IuiGGAFQuUXztdahVEiEMhG76tP62tBunZBBvCaBdMXg4Qy4I0KrxRcDYXZQrhZ8H8B20N6a3PQi0VQUoZrTfFk7MOQYGQM0nrb/RHSM4zll7aVttpaXSChvorxUE/yeKzkUDXawraowUF6JviMqhGjHpfjQ/tXeDPgtUFU+uiVgkFYeIrMHuOznmEylnpsUbrcfTWebViwoq8mIRjKDnMxRdIL2SyDLWh4ukbPkojZPuzHfQkoYYhI5zRI/XDRquNx2VafcTWqHIBlEOLtKN7ybqkMgHIr+Y7wtNRTuMUi28TfSFPn+8PtS73gNk6yLQagMY8+pAIC6yPlD3Q926J8pjCGU608xrGkMsLy3fFAjHDaByiazjvL6OcvJDy56qarD+/XFVoOS8UnQ2I+rYl9hv2Q/8hHFCPhgBPzox6z7uQxdkfRNpQjQykbDue7IQ3jEFl/Q+80o05hm0kx0Ij2KopJOiTRRS0xtpY+3KWSDgSCDgSAOURK5rikAUEd03OeAdSoDU4n+0UxVkR4CIojXx3QEs0chScecSMnxIgzbC3aB9Feqkgur4tFTTOYKslwhQUnlQizeAOqrUdVz2U6gmPZhW6qIdp7BPImIrBMGnpSrRuQgFhLVzFOr0F4s6vg+DljkY1/GV7xnuJ51ZxwdSUA+ndSw8ENNrd1wgAvs8EHojGJfjQKkTsT7vo+7L9QHno78t3tC7viVxrndNSvLfFm7qXV+fVOYbSAnGvOoa5xfSoM21m6Ibya4gAtEIW4X9kYFwNNDgen+hrms9jpGzCItFdtf1OUU4ci3gvr/Q0DplvRcaYGAAiVcB0o8U+NGUtgeiDhmG6rkVRSNPZ3UOGMFvTyxoueYhpnppNd+7rm50vru/H+tk9GG2fe7/Lq9pGVFtOT+gaayCYRg2xhGts0voQ0MQKyKSer2IkGwYOxiSzRX9vDir7WdspNC7nlvU77x5ryL42Q9pl1byIiLSKnuzkLxsSzsQy+MiwbhICM6uJmLPtRHfKwqqbj2sjTgAVWE65wIFfcZVKg2BpteC0zAECnMLDrkg6H4BbLy58DTi6WHMIbWatGzGOnTA24muwqEy7u04qa51GyVjo1WRFsQ3C8KZ0Ua51MuIGUInI1oSFZKohMS00CHISTyLAYPUVJpBR+3GUSkBdtyXwUIV8RCrw/r9+GkdvKqjyEcKcSVJhwfVNHhZf9uE4yQGFdsWFXCR3hA2Q/1dB+H0pA5kixs6eBKGzrK7KX2hdz0Z1YGUi/ICFvNZbJqTWDyExHvSpQoz40Vlgkpt3hN5unftUpda4r2BrvpsqBhXhEb62O6oTqh0dDDGYxqbmP4RXcjMVnUA/d4ldXiO5zUfnCzcdkUlLbYlKnKV1/Wa448kAH9HG6vsBJWChxnroMbDscfYqKz7KBz4TQdteABttUuxD9bwEsa14NACRebWEA4bMC6kzsF5g7irbVCYjfALjD220el/7Yqljr1SGwhtSDIcMmMKwkk9BydNf9fBxE04F5h0XtHpc7mhtI/pqPbDukEn5ObJO94b3zMS9o41Zjq4dLHnfitrbAS0P3I8o2PxfGPQ8z6fZxpn6hpjKB/lIYT3uJT1UUcuCWhoyIdb3kx71vFWfh6Gg4/UpfEw6CZQh+4Pav5OgHY1gHHxWFXjMFExuIADH9LOLze1zhiHcb3bPiKIe8u0+8WSNGinWMTQqReHIzSCAWgK+Wbsx6pBi2YaPJMg/Wz/3fQsgyLFeTdlxKqkcxnhZ3zmMjrD6ax9eGNf7/qOlB6o+cVVpPJxyEdF231+Ar9jHTxa0riAR1NKL5uDg5T1TocqxxY/xzQt5RMnkc8fa2g73AdHp1eIAjrJTee99qtzde3nh+OqeslxLI/+YSico/+PIN/nMRZYu/JG+i5j9GVAjaUDkdc8KD44rONcX1j7/oWKbqb3pHRdvQy6Jh0a/ZgPVroba1J5SZvsx4H+N2e1741ldBwo4/CUzgTayfPqCDmyG2rkcHJGI9rPqRBLaiPpj8dn9XBitL+THtIyuWcaSHurQDNO26ll7XvZhM5lrKcC6OIsJx7qUcGZa+3LiI2/I17QtGMNMdmN3ceQF4tYas/gEG+mqf3a73DkWFXDNNE5yHmK95kPrjn+P32P9K65tlloeR+aug5QOg3pjOMB6kWED6FxzJ2HM3MDYaseXdU9DtveNAAndKSzH8xX9J1ni5qGAzntZ5cr+d71Qjd2Hx3s/GYJzsGBpLaBwRjo++hndcT/W4Tewbxov2WcxJkNTUsK7YoK7utwsPeltX3O18Kb3sH4g3T8DaL9UumcVP4za1peTYCXGF+UwBYqLNOBSGvAr0Cnay6Jw8xu+dGZSUfsMN6dAXWc+aMK/UC2k9dmqCbqbnxpsxRma9asWbNmzZo1a9asWbNmzZo1a9as+dqWRiA2xmoSTAQkGlZPNhkgVMKll9ZA4OG3oRn9cXMMYiHzHe9xKw31uTTozD5Kew6iYlKdOQTqb2stwR94XreBRiTSh2yoZgo/gOJrI4HT3y7CMBgDsgSedypVCw+igYxKZ9WTXbyk3msZ0R/MVhQpxoCdhOgaAekRyHgGSrvGCSWDfSJg77mFzsnTQM5bgbO0BhQjEKnVJCnMQBugzThUy8UzrRRETFZBvYUqLYVWxAdNlugiDKkqfaRPIfzDET3B+KEhpWmQSkaEypmannCRYvdEZbp3PQY0gx/9h6iCCOgLhmInUXHdZ3iPaBIiIPOgsfMZ8yQD6AQU3jCC3K+D1rDY0vZGhAERnCeSWjbX5RUdUYRQjXvynEsqeoFtlpZEPzCUvtG3G9dr+4kB+dkEnZno3kDZOyQB+5BhUD5us711+zkpmpEVfhMUZghNMYQD22x5DGkEbTkMmjPjHxhMznTnt4GmRSC+UgtJW0ISMBFfKGr2W/ea9EEDNQbkFcUV2MeJeiKVlkgfQ20V74/5UGlJvaUIBZFBLgKPKMlLDaLjFI1QBto2B7QZLeojMEFhGIM6CUply/FGu/uhtmhueZsINu+zWc57LGsDPYXyoMIx0dhEthF1SCNCjigH3mc63fIgwsFANAIxyTbAcBVEI3KMboHdcBDKjiMYXzlCZATIBsd7npgDIn0/0OylLqKNZRqCqBcFVTRHIim0ZaLi2GaC6E+sgxuSygqgGcg9pJ7IWfazTFDbqov6zeBZ9o8b8U2+m6hDppHtyk/kxxRX8abE0dg+iTr0ovNznGkZlEOtX455RGxS6IVjEY1tkukl2vG8WATi1bBEuCHhcNBAtg1ngEbHPoTXg3EdoymQx/t+Y+1CXZ8nAo/MpolYoXc9muykh0IPRD0SsUWjUOQ40IgUiSFSKztV9XzmeaAIcxmEvcD6z1BqTWo/uGlSRa3c/dRCReddrmOJAmW5FIHYmu5T1BopjwMJb6QhhTOJciP9+kxBkVpUkDbSgDljpeUi+zXti0BuXwKSPuSDlH+qoqg8Q2QNc8Dpupa7H9KaY9fJuiJI/ajFHF9dmjH/nsaahN95oaRpGYlhv4M2y3BdzBPrgyyqPVmdDyL4bQUIfdKJifq9VM7jvn5rR1e1+JklZUUUlrUfjI5o/bJ/8N1sG3xmB1TQl6BSvFIGWjbtg9xD28tBfJJ7tOsmOrRs9quIzz6PqODx5Dru67iwvqH9Y6K/0LtmXl9Y1f3nUF7TTir/2XWdmzg2Mu1EALv77dFh774U9hGuZDibsCHI6hj/fyVmEYjWrFmzZs2aNWvWrFmzZs2aNWvWrFnztS2NQHSNcfkiEC5oR4n6QVYR38up6f3WDvDEiRJMdN4fnkGw3IOQja8ijiKdviPgq0fh4cbhLEVcGDuMMdBCJQTUzeADDLOHfPP9BvKyi6JjbD8aUZKMgRbt13wwNkcwj5NgvJJBQsnlZ1rmN/SEpFz1jlVUu6DPRCYR9PYUkI9TnVOGhdm8pjGDk0KehOM6CLn19gbEKC5re6jqoYFhThblRNQY4lkasRQRT5PBht04kDzNSAA1x0C/XqijF9uBuAb0JbqGRoQBkRVEXPiJKvB5nry5cYu+vHy4d++fDWmcEL6bp4MDQAbwPoNYG9/HqSFRhwxCzFhtNyfP967TOxHHBSgPnngeL3VO0yhSQ6MI0MWNnOczs/P53jXFcRj3NLCs+QhCmIkgjyD6KBG6HBecJv+hl6EuMpBIQ44b6bMI/n8I7RTxewIQdDKGEKC3HY4jRNli7IgkXIEJ79ha1jZbTcISdMKSBxK3BCQRT529jEhA9geigtjf2D/bPog7Pl/3iR1IBPTOqMafyvogAF1EFFFSRC5yrKIZIh8+Yh5+yAMDnQX0lBFoHOMfY0uerCk64Ma4or9O1DrjxvVxRYH4CbcQSUnjeDaBuIBE8WUxblVf5dnvOsrJQJwBWeHG1NmJmJisL8ZtQtEZoiz5gJ76pzCX5Q1kq/42iTGSMXmZO7+4h37zYKrbVkMhtiWs8xhgHsiZBaBbaANAvrOdnKlreyeikOImVYiWESXjh7qLG8IhnfcTqcr+wbph2ye6xujnWGeYaBlFeRCtR2GYIBD0jN/I/sE0sP27/Zh584vTyPboJ2DEOij7xD0lIpt5snZ1bDRRlGiyJm8aONe7x9ifRGSVEdeN/bOR0TbFOOtkmkwkCr3rR5Z1DjicV2YPUflLDW3LLnqHMcf6Idw3X9N9x5tGz+F3Op4cX9Mx4TDYRGSR7Mvq3HhyXcWB3rlbWUZkcaUN9hX6B8qGHBW3PBjLzg89RfYTRVwmUzoH9ce8RWIiiGHHGGtPLO/oXceAvKSA5CKQZY000KcYN453kX5+AkoUGeE6PodxgKJTNI5VHJco4sR1yUxVy3J3QuvPT7iE46J7zbxtYGxl3M5CXcetQ2ndz50tKXI3mdS6GYzofLA7reOoX0xKag/Q9mV1zqd45wriKCc8RLX29Ok300OaXrbTdbSryxvarhmjrz/hvV+dW9Z91i1TM73rKJC7RNruSCsabwXIWaIBh+Kd75J9dqqg6D+OS6xTCrrMlBT9essOjWOaBEp5qarp2j+mTA6ijncmtD1vID3n1sDESev6Y3da6+kr5w+IiMitY/r9bzy7v3f9j2881rsmqprI0zTazJkuOr/RfOn9BW1LOxBDkbYEo22JxbFAh3oNHUatVR+xFMDAszmIb5S10YdHOgNSe0jfV4dDkk7DMByFdGwGIeJSLWG4BzU2GPF2MjaH0XHpsAKFMQQHIh11dFyEC53fNuNQCiqC2piDoATKqE36LtQRGdi/UfHZ7EU07esVrZvBjE7MhQUdtPPDUGSG0zAONeXaXn0m1r1P9cL6BsoXTo4IFKkbVTR9OGKqQ96CGOEFfWcTitqCcuJ7QmgHrah+i4Fj3QXLhWJ+0z0RkYMJXYDMNvSZ/oT3Jjsk3o43UoUZQJ4LAL4n6UPVMN6JQdadaP/lyDf1HnaYIcfbYb2MjQvNS2X2pYwbXtJZRkM6mZwL6ARMCt9kUAdQ17FICh+pf4THn1zV901mC73rxZhOGo11KN9RZIR+P9CZ6alr4T6/20KQXvZ5WUBQ5v5uHbPYEeKgeBhCT2in7OcBeCrpzw3DMd6qwhkCUSmqQ6eTnfprySuflK51C0vbWJiKvNj5oGXpOvtJT6RoganO6u0oiDig3XsIHoiItDA+MG10OPbDuUEnA6mIpDNnu2p/dG5RwGQZ76DjhIu6Iajo0jm3M6D9msby8HOcME+kTjLAOs2lVPuVXd2HDkvHFCmdrD9DYMPHcUuj44Q0Kj+nC8dXt/zodOJGwE+V18hTUMsxA8ftOpxaEyFSyfAijH/Lbe+ypCJzHm2laoj/dJ6ZQ1B7P/VrtrGoDwWd7Y33Iz4Orqifg4vp9VDpFBFpI+yEK27kp6Tup8TN+cJ0/EOkAd9k2zcPDbxpXXmfEAK0uqHg3umjnNcHRPsz084DgaBBk0fb82FY+amO+x14WLtyFgs2JRoMykgE9EQ4a3ioywOfVYTioTOR7YF1PQgRntCA3n92XQU0bs3r4Q9FKA5nOg4QUp/poJmK6ZxyoqzUzRgOlumQY/85fllprzv3q9OAjk06dxahREtKMPcHXJuSiug6C+ZW1FlzQ786dx68sLd3/Y93nuhdny7omnYiqfmgGA0dX7WWd78izZmq2I8uqEP3tmGtAzo0vIASHMM4zrItjYuuMR4r7epd3xo/17tmiJEXIGjCthRpQ0CHa4KYjlEUi6MTk6FSeNjmvp+OPKry0rnDa37//Lo6lII+jnc6/p4taHs7nFcl5QU4wfemIFCJNk+HPNc0KxA3GYp1+kVfVL85FtNyoQozARBzC7q3Sk7od4axp12p6W/vmD7Xux6E4NEFhDrbCbVxOtXpuByJ67jghqqiWFIedOcq0nvboLZT9s8VqJdPD6gDj2EO5nAIMBzX/C3Ascgxguk52K91cwbU5hty+v437zgnIqZjd+9urWvWRxJCoxQd5Rjy3fJOERFplV9+z+2apTBbs2bNmjVr1qxZs2bNmjVr1qxZs2bN17bF0VzThybrUBwDSDQid4iiIz0wjPuh0GZkV7WCM9x5BAsf0xMBoggbDZyor4OSCBpwG1RlA83WD4/wsj7TBmU2lNVn6kA4pnLwrHcczOKUtNob/SgL/YpBZw4GvWHrLJcGyr0KdOZIFohCFAjl0S+FFMLNYL9p5InfvVwHQqyLiGQ9tlCOAZxiN2veqIbIIIImr4NeuqH5aKZxGg+RmiCQZS1Qm1v8Vnwz6lBE6QDvGD2lrwbig7D8sxU9HdwR1RNMogGeKusJHykew1E9BWz4UCHbHkHPX/wMTwK9KFh+IgZ+xtMXIm0yUvW8TyQIIexEhRDZUQCa4WBMT2B5Ello4ySpS7s8VtbT6lGc4jC9u/JaB0SVsq+EUnoyFMhgXAJaMH5O01vZCZQF+nYTgbOryxBdAvo1NKr9XNa6bRghHAzQhsd41kk80phteN8nTR905iD6H8FDbrvya1/W/I1URCL6hoCycBFk7I8tVDb7g4F48zk7bPigdfxEPgwEG9ABTCNDIhBJ6CIPiZojHYzvi7aA7McY5kePZogFlgHRVnwPUUrMH8cKgwaL8nMRBqwvfpOIAdKZ/QRaWNcG1RT5C/mgs4hW4/v5fBv5Zn1f7gp0EDFKdBgRYczfKQShHwbdJgjk+YCBJCd9jLR6vR4NsT1jTMUz/ch3DeOLW07T4ULv3rpRN5rnMu6zrk+Dnsy2xLLhfPRcZaJ3fSSpVCuWGcvar56gWdab29m3+bsa+qSfyEnQh5VwCnT8XTFFGPFxvzGC8/wMwocQEUQkYd7ZjFj0QxVxjqUQXCqo5U76M8O8sGxoZfFGn1q7chYPNSQWMlGHX5070Lt+89DZ3jXHnPkqwhXBuJfoB/LqQHLW63GZTil6kOMlEYjlLhJurqr7iz68O4bfMdQQLREiMhLik2kg64EuJC2SlsV9rp3SuE/K42mwmG4Y6Kx1U0kdcxdRjrnkZqEmEZHr+pXuO1/VOZuouEeXJnvXtw3qOHe+pOMA6ZcGvRziGMzTvqSirc6BruyOu9yDXIBI4g0JRYdx3LgjfcbzPuuD+eae6DuF3b1rMqq4DxkGg2kC8wFDWnih0zmPLNSxJorqGEZEIcfIt45qnoj8vFzNi5dRQIOoQz/jvvNkSfNB1CTp1SOx9U2/WwbdmfVL0dNEerMIiIiJoB2FsEjQJ5wV91xhn32nIc7TxFqy+1vmjQjIxy5qG48Nax1cQlnvzSnrjVbCd7IIPcCy25/R9n6ppu/MAL1YAiqX3zpWVOTzQKyzluVePx/D+ICxbb6m7c2tOxGz7b997HTnfRsNeXxz1jxtSzsQQ9GmhKJNqRZ0II0B4kna6/qcdiI6m9qgBK4VdAESNByOnQGsWgVdFOrNTcQ6bNWpTKqXLVBmY2O6iWmBYtyMYTGdR+yPRc1fYBgdMAKaxgIcC6DYkvLoxrEJQNXZUKHG+xqMuwg6ZQvqxVQkjICiXV5FOea0sVJNiJ17aAhQ24hOFk2fRTHrNdR1blRQNxE4HknhbsPRbMSMg0MlwE8iPiXjwAXntGM24YA16KBwIA6PF3rXgzEdqHLhzuKEVCTC4Nm5b8/oAuuZsg5wE1GdwHb5qHHSDGVFg47lHRONxk0jN2zBrtr4PBwFdCCQEsxFGGkr/1DY17u+M38az+jC6yxirNHGUQbna+poHYsWetd0tDKvDxSu712/PfeCiIg8vaoOxMQgNqkYqAtQrGN8jVgUlLGyTgKJDGL8wPHWyIEqzLED408CfcKIe9rQ38bg8ItOdL5VWNSFahBxOINwNvLQpI42y7GF8a+a6Gfid1gDOnO11nm+VXt1zuVr2VLBmiSDIWPzz75CGrDrEGOb5u/ohIsHdN6pGnFJEcrAJ2ab4QRDH+ZYkUfsPi64kwEdj914gSKq8OsXI5XponNgMqqbQT9qKtWhqR7oRx1N+ahP08nI8ZJOT7c8GDOO4yyv6UA0qJU+/nXmj2lkG5hresdjpY3CmVbycUS672d9cA4qgBLM8ZTzTtBwVDImHsKg+KRxrgE1wzDj4+oz1baOOQ0UGinM7saETkMqLBeFfcKb4juBWFuMiWm0fawn6DT0i2/oF5qDNLigoZTeaSt0wId8qLkDRrxH7zbO7/AQknG/2Ma4cWeoAB66TeI9jCvG9tZ7H8aB71X29K5vS+rmmIqoXEOw7BiCxFg7If6mX3znts+a0trrayuNlETqUUNNlrGmz5fVMUQqHx1ybF/5iNY1Kb7nauqAoqOlgLGFh8Lsb64D5FBGD5tJ/SN9l07OBPoJYwHSrh9U5xxjDRpxDHFNOuqpoubpaP+53vV6VPM0BIqm66DsS6CM0O5353T+XAHV1IhZC2rq6ZJ+/2bQNUmzpiUQtor7HcZeLKIdvDmpsR85BhedzjNGHLqQdx/nQSLn2K+VrutdH4nrGM1xnE6fN+V1LOJaxW9PxNi3OcyJRgzkboxgzpmXaupk5TqH11yHDEcQqiWk89rFqr7n/IZeU62bFOJ8VMuP65l+0IMfnlcKOEOQZeAQc9cFDHFSbiK2Hpxh/TEcOGM/RVrx08u657plSOvpoRml279jUoE2pE7TeX0wq/1sf0YPxubgEHfTSSdrFuPJ3buP9645PnAsWq4hNiT6Den4fSjTJto1KcTHN5RqfnpVx0BSqsdSWvcsVzcNU0kdR8MBbTMXylouu3CAwjGYNtCN91pFPl/O7GxqzZo1a9asWbNmzZo1a9asWbNmzZo1X9vSCMRUvCGheFBqYT1BoHBJOqHe2uFJBHJfU+8x9R0ogNKoIPD5euf57Jh6zOsNIC/yUC26CDRAhC8HgoPIyIo37YIIQCIKKc7hQNCEishE3ZE63Sx5nEzjdCcMQZlmWH9H5GCJitO4b6D4gABcr6q3mx7/Yh3qjhBXCYEuyYCruT4EtEW+G12qN5FUEShFV+YB385AdAKu8zqUuCl2Q6Rqcw4Iz0kguAqaD6rSEsmYQH0zEKurNrfU1jSSTsRTMp7CXZ9QtU8iHHgKRyRI1EAnkQ4GCqxfZPJXYdNQXmV6d0YUgt0wiPJqHxqGOqrPad/hhJ5M8fSMz1+XuCxexqDGjxT1hI3IzheqndMgtmsGDl7DKTap9sdnFTURj4PmAtRhvUbknl46ozixXkVbAkqY/Ya05TjUxtlvXNQxEbFOv3eoBo5zsVlNo7MfgZS9xg0RyTyjY0Fxv7f4ULUrJNOu/ODt61qxlhOQlhOQJPo/KfsUfnBpp0fiigx4rq50SlL3aRSgoLr5MGjORBpFxHssolBR1RBaAUUR4iYHYpspZlQdZlqGAnryyrFqDoJSVHBlyAcjfIhBT0bQcSACOP4R9Uzzo+G7yBg/oZeoD6rST4SD4z5RjYaCPb4lmNZWIAwzCRQdUXGG0jUQmS49l/cyYS0LAwWLNsig8qQE54FaixioPE0vlZevj4JaZ4iYAJUX9K6DlFGunbZSamubIWJ+CDT2ImhlRHKOo036zcNEwvmhC9s+8xTrg8iVtseZPttp0hABInIR8wL6KvM0Gl7zfN4vT0T3EUVLlGLDB8nMZ7zWFtdBsZwoUFIC2Q6Z75APrY3p9ROIs3Z17ObMjMTTYTlTUTRbK6R9cjiq806ZKB6oIBM9SvXkMxuK3HnHoKLZIlj/PNdWhNOxol7HMK+6YgQ7Y94q9GzHSw6UX4HCpa35UOqbUV0DX5fS+bmG9n6yomyb/VlFeJNts1rW91+f1PdcCHXKg/ToPaAJ+4kjEWG5CmTiroTOsUaYAqgzf3dVqb9vHVYUn996/KaU0o/z6NsZDH9V5/tTTy8B7ZVPvoB3M3wI5wOsM4x1gPfzNK4JIj7jkmsNqjTnNG9EmLd8qNVUgaZQx1Tcu+1xn0d04WBE+xn74kSs0LsmApBI0d1J7Rf9XYYARYbWmro/Imp1X1rbnilEpOg7l3YvYtbB+3c93bsmBZztnYjly5V87/od/SoQRPbYrmRnn0oaeQ7rHIqQMb00oqEHMEYNJhUB6cfyWQXVm4jCfzb9RO+a83MDaSfi9MZsp57OI7zZm/sUpfn4+s7eNdHYk2gzLFMXgV1rbBEE4v333y/T09MSj8fl6NGj8r3vfe9qJseaNWvWrFn7vs3OadasWbNmbTuZndesWbNmzRrtqiEQ//Iv/1Luvfde+R//43/I0aNH5Q/+4A/k7rvvlhMnTsjwsHessxdbpRaWUCgiB3YqquHkJf3tQNL7BCMaBgqsrh7YLAJQUozFlfWuI65ABLEDR1Pq1V+JKppsYkI9vXxfCwi69HDB8xmioOqItRMG0i9opNG7KhmPotXX+W6ppnnOxHFazrh2aT315vdpUZTBBt4Zw/0cuPzlBr4bxXdzWn6Vup7CTYzqaVsaz8+u4+SgGyg4BJRWpaHvyO7XU5MW4rQxCHMEvw0DWcY6CPTpKVUN6NPUoKaRxrwurutp5WxGEQEb3dgbjH1wZDDfu55O6unHhYqeQO2I6zd50s6Tk3SYMUG0vTMGIeNf8VTfCDxsPOONInORMTwh9gt+62d+qEOm0V/4ASIjOMX1OwHeldA2wfiM7m9XK3qSNh/T/rxc1fdR2GQa6Eme9NAqcU1XfABxb3ACXhlAzC609+WynlhN71CU5wpOoDkeuaePg6N6OrgKpDPRk6Ec6kkPBKWMfpjr11NnxlaJTOI9QBr3JXTsKHWRxq1STfRcc3vaazGniYgMhjYkFTLbOpFJh2KK3nH7Zxan+LfGz/Wu4wb6jYIOQHhhLOTpL0/mie6jWAjnoEyAAcD1Wyfr2rD2RefkpawIxBQFT9j3b4oreoFCSUacU0Tac2MpiZgopZQhEAWBEJ+xyBDTAELNRd0t+IjF+MXZyyOeE5EHBpIKvzXSjjhPGcQ1mhYdH4hQI6qSqBqiChdbnfRTbKfuE5+SSDGmi3VNlGsm5I16obV9UPARwPmJWGxgboh5PBM15isgINE2Qug3ESDouRYiKncZCE/2AxOVhzHSJ/6lIcLjM/fONDrrAqKIWacM5u83N5ooSb90NTyvmScDXUOhlQDXE96xH92xg/3ALyYxkR1Mu4noJdrUO8ZkhOnyQVtae2X2WsxrfeENSYTDIiDyUCSHiKmxqK43+jGOsu0TpXgop/u/QSNuprZ3IvDWmvoeIozc5/3iuD69ocj+WzPne9dExxKtzHbH9TDbPsffalDXXH1h3TMQHcXYvoeSZCJpn9if6Myx1RjWnMGG57NGzL2gzpM5zE1ESHNOjrf1nbfktTz68QxjBN6eVrYPx8JLiK07JPrbcnc9HvFAl4uYdZM0EMcUO/NGDnKs4jVZH0mfPYxxF6/nyAJwbU/Uribea6Ui4tZRVyDl065WEP+Y+WNcvsNZnTP6EU+YdRlBLPZV9EWWMQWKGFPe3ZdFfPaWjAXI73NMDyX1O8+WdoiXUQDULz7v4ZT2g4WorsHYPm5Ib45/yRi77Ictg/3AtbGmdwjCN0RhUmSN5jKFRETmgXw8mNaxi2nwYz0wJqvbz/Lw1dD2pxQNSQZezGcscNmPFVJaXsYCjuN4r9peZzt69Kjcfvvt8t//+38XEZF2uy2Tk5Py0Y9+VP7dv/t3L/nb9fV1yeVy8tb/fY+EUzFDeWYd1Fjep4Ot3vZ2iMVD3Nhv3pAzGCkdUFQEWq3pYJADJYfvY8NuwplIqiI3ZnyGaaB4Q9tHoITBc9NdMQaWBfNhDMh4NxWSWHZMl6GoRIccN2ZwrrCs/dLgp9LE93jRyvzKiGnn+/zK3S8tdCSnfURfWDZ8D/M901VO25ld9XlW076EySENUQA+wyDFLCP2iTic52wHRlsS7/Qa78F9twySYTqjNf+kbRNKzrxuIJDxC0sKf987oM4+Bt31C1zLwM4sGyPAb8Tbae62CSpmsd/61anfM4aD36/tO97jCOtgZj3fux5L64Qa9HHoet1nXfPvftd+7+N7XklbcvPdKNXl79/7/5O1tTXJZnUC3U72g8xpIjqvffu5MUlngoZjgVaAI8vdlA8wPAR+NhLSserxOihPoLLMoP9QbII2B8rqBBwqSVDn4wHvzflci4uwzW1sEU6ZfixwC1j0UFSjygUVymgFhwemgwaq63jndMT7gJEq1hTqYLlH4YRyF/HcsPZjoXcOhxR7IoXedRFjYR2hHbhQpePWb5HrZ1QbjjNYP9JOB6z7fjrJsvjmOtLCxTwpouZmTMfoAkRnpgwqraYX+ijGxigfpGNK7z+CQPRHIKyTDHTK8jJ8lkPoH/OYv0cwdq/ggJGUa9Y7ncim4wsOTJ9+SwcXnRTfhaDIjXCOu44yOp0HsDlnPfE+2yGNZepH6+dv44bzmm3GWzU5hecpYJPvtoM5OG6G0c+X2a4w/pjp1XSRWkhbRhszxeL0PV8tHu5df/OGH0yduek05EH54rae00Rem73af/jOuyWejhiOCm7OqeY6DpETbphJOeSaZKYCWl9GQ3mQ5sw1KEUESJ12KZikTZNuSDOcWli30fHGdrfUUCfZCAQxaNzkPw9xhZuzDN2DPoHxnetq19HDA3S/wwM6lCi4RjoqbSKGgzOMhaTYkg5LyjMPrlgeVP3dl1JHr5tm0m65r+D3SSMnKID5YNp5UELxx52YR3joxvIjkMJP5Z5hS9y5muAG0pbPQvjHFdYUMR2xzBPVdZku0neHY1pmWTigqYpNJ/wLGxqGydzLa1s5AIeUS3fls+xjtKcK6nh/3/Az+n20h2eK+gz3Pocz6hwkxZ9q1VxzzDe0XOehPk1nmhs6jI7NmCEMqGXKwwbSh7n/ZL5d572IWd/Hyho24VI537u+Na/z/WJd08s6IxiI7d9dc3CM5Hi1irSPwhHL+7Q98U7fq2w05Tdu/+YrmteuynFcvV6Xxx57TO666y5NSDAod911lzz88MObnq/VarK+vm78Z82aNWvWrL0R7NXOaSJ2XrNmzZo1a29cs3s1a9asWbPmZVeFwry0tCStVktGRkaM+yMjI3L8+PFNz993333y27/925vuN0oNcZyAVOoMhAtkUh3iHw2i3LxPDZpB7/vh7gn45XU9zahBnMTwwiNw72V4wNtn9Dp/CEF6Qf0lPTmXUA90P2jA62WtskDM2+PP9FCsJJPqnG44QGP5UZ9DQBcFgJhaARWygRP7FKjSNbxzqQT59HWc/A3pydTSCxoENLao78y+VU+j6kBwDSYVMuzmlcivWVCGpyG+Uga1OYH8Ma8Nv0D5uCaNswa01WoNMGGUWQ3PX65p+S3MdtpTcErTePGknsb1Txd61xWIcFQu6zMHD+np5Bq+75f6VFJPuIKopwYp9iiDVAyCAjUIcaDMipXO86WAvm8RtNskUJprVSBegBAeSmgZ7Ero8ydmtG08C3pjo6xteM8OPV06v6inRNGY5rtcgJjPkpbl6I2bKZXsb7NI7zDS2EB7dHzGDYco4iao8WgzFaBlYyjrIpDM7YqW0woAYrkYED6gELuhEObXdcypbug4sOOL2h7nfwKnWy3tQ6Rlk+J/Zln71q4BPfWtNNB+oiyPThqbpc7/rxLg/XW3VzunifjPa+1SQ9qBoGDKEhSvzDRIQe3+H30sghPZGlCBo+1C75rCUct1oOBBhSfSL+bomFvHqXQsCER6gKejSDCoThWP8bXtoA2SQuTgFB9HnSGMZ8RLrmGQZjsL4oQ4KZqPRshnrMdvq1grVNpAjwP9taNLy2mD+tEgKgXl3qjpu4/V8r1rClzQLjW0X+8CMsYbg2UiUS409f08Kb4BFPj1FsS2unPWk2VFRNyWONe7XoE4Wwwo+PN1/Q4FVaI4pU86QMqjbOpoD1kKm6EOGMY8FUQbq2u7WYCAWV8XVbiEsTUHUaqNpua5L0wUFFBrGLvnjDUS6Ma4mwSKz/GhYrN9cIQcbSiN6emyzne3xDu0wK8XD/XuvT/7ZO96qUHUt6Z9EUgmoiGXgHqh2M0tQD1SkaeN324gS7Mo14WWhl85Gte1SAF9MdsVoytiEMtznGlxPAEyCH1sEEipFtJVwRj1UEmDxvcBvXM9KODVDX1/8wekMze7o892ndNEXru92oMXJiWcjMrZWW3fFITMp7T/7NclnKwCNT8MBsq3L073rm8Z1/Hsf8/v7V2Pg61xelW/y1BRB/q0DTw2NyUiIuV5bXe3HVZBkKBBSSZDTOdA7gH6yIDDevHYzPW9637sT9ZK+tvBrN5P1LTffnNG0cojWS2PdFTH2vFEp3/OVXW9zP3RmWVFCw6A/jiGUFxkvdwGUY2Z9pjmCQir9bqm/XxI6+zxk3f2roNFLYO77nyqd11vatoXMdaeLXXGlkJV6a0MDUWkGsOI7ctoKAruG880vWmyRJA+L/ne9YmC7rMO9ekYTbEZMpsGQWtdARLMRb8tAGF2bEURpnvy6g/Ih9EeG97hAZ6e0zrYO6iz4wxCe61lMN/Vtb5XsC8by+pcfQqh38LwKyQgCvl8CKHDunskP+ZjXxz9Oan09u/Nab65Vjmxmu9dH+rXsp6BcOUyBC1nNnSsX1j33pOc/7o+U3oP5rLu+nluQ4V/DvSpr+H8hg5A3AvObWj97cho2bGvPCBTvWuGQ5s9o+PP2G6t73NAza+gD72wPKnfyhV612S7uYw59oPza5r2DBiwCykta5f5KCJyIK/5fmS9s85olusi8s1XNK9dFQrz5cuXZWJiQr797W/LnXfqAPMbv/Eb8tBDD8l3v/td4/larSa1msI0L126JNdff71Ys2bNmrWtYzMzM7Jjh/dCbivbq53TROy8Zs2aNWtb3bbrnCZi92rWrFmzdi3aK5nXrgoCcXBwUEKhkMzPzxv35+fnZXR0dNPzsVhMYjFFXaTTaZmZmRHHcWRqakpmZma2ZQyS9fV1mZyc3Lb5E9n+edzu+RPZ/nnc7vkTef3z6DiOFItFGR8ff/mHt6C92jlNxHteO3bsmFx//fW2rW1h2+75E9n+edzu+RPZ/nm0c9oPbnav9spsu/clke2fx+2ePxGbx+1gb6R57ao4EKPRqNx6663ywAMPyPvf/34R6QTmfeCBB+QjH/nIy/4+GAzKjh07evE1stnstmworm33/Ils/zxu9/yJbP88bvf8iby+eczlci//0Ba1H3ROE+nMaxMTnWDStq1tfdvu+RPZ/nnc7vkT2f55tHPa9292r/bqbLvnT2T753G750/E5nE72BthXrsqDkQRkXvvvVd+6qd+Sm677Ta544475A/+4A+kVCrJz/zMz1ytJFmzZs2aNWvfl9k5zZo1a9asbSez85o1a9asWXuxXTUH4gc/+EFZXFyU3/qt35K5uTm56aab5Mtf/vKmYL3WrFmzZs3aG93snGbNmjVr1raT2XnNmjVr1qy92K6aA1FE5CMf+cgrpnd5WSwWk0984hNGzI3tZNs9fyLbP4/bPX8i2z+P2z1/ItdGHq+E2Tnt5W2753G7509k++dxu+dPZPvncbvn70qandde2rZ7/kS2fx63e/5EbB63g72R8ndVVJitWbNmzZo1a9asWbNmzZo1a9asWbO2NSx4tRNgzZo1a9asWbNmzZo1a9asWbNmzZq1N65ZB6I1a9asWbNmzZo1a9asWbNmzZo1a9Z8zToQrVmzZs2aNWvWrFmzZs2aNWvWrFmz5mvWgWjNmjVr1qxZs2bNmjVr1qxZs2bNmjVf27IOxPvvv1+mp6clHo/L0aNH5Xvf+97VTpKn3XfffXL77bdLJpOR4eFhef/73y8nTpwwnvmhH/ohCQQCxn+/+Iu/aDxz4cIFed/73ifJZFKGh4fl13/916XZbBrPPPjgg3LLLbdILBaTvXv3ymc+85nXO3vyn/7Tf9qU9oMHD/b+Xq1W5Z577pGBgQFJp9PygQ98QObn57dE3lybnp7elMdAICD33HOPiGy9+vvGN74h/+Sf/BMZHx+XQCAgf/M3f2P83XEc+a3f+i0ZGxuTRCIhd911l5w8edJ4ZmVlRT784Q9LNpuVfD4vP/uzPysbGxvGM08//bS87W1vk3g8LpOTk/K7v/u7m9Ly+c9/Xg4ePCjxeFyOHDkiX/rSl173PDYaDfnYxz4mR44ckVQqJePj4/KTP/mTcvnyZeMdXvX+yU9+8g2Rx5erw5/+6Z/elPb3vOc9xjNv9Dq8Fm0rzGvbfU4T2f7z2nab00TsvGbntY690evwWrOtMKeJ2HlNxM5rb8T8bfd5bbvPaS+XR5EtPK85W9A+97nPOdFo1PmzP/sz57nnnnN+7ud+zsnn8878/PzVTtomu/vuu51Pf/rTzrPPPus8+eSTzg//8A87U1NTzsbGRu+Zd7zjHc7P/dzPObOzs73/1tbWen9vNpvO4cOHnbvuust54oknnC996UvO4OCg8/GPf7z3zJkzZ5xkMunce++9zrFjx5w//MM/dEKhkPPlL3/5dc3fJz7xCefQoUNG2hcXF3t//8Vf/EVncnLSeeCBB5xHH33UedOb3uS8+c1v3hJ5c21hYcHI31e+8hVHRJyvf/3rjuNsvfr70pe+5Pz7f//vnb/+6792RMT5whe+YPz9k5/8pJPL5Zy/+Zu/cZ566innR37kR5xdu3Y5lUql98x73vMe58Ybb3S+853vON/85jedvXv3Oh/60Id6f19bW3NGRkacD3/4w86zzz7r/MVf/IWTSCScP/mTP+k9861vfcsJhULO7/7u7zrHjh1z/sN/+A9OJBJxnnnmmdc1j4VCwbnrrrucv/zLv3SOHz/uPPzww84dd9zh3HrrrcY7du7c6fzO7/yOUa/st1czjy9Xhz/1Uz/lvOc97zHSvrKyYjzzRq/Da822yry23ec0x9n+89p2m9Mcx85rdl7r2Bu9Dq8l2ypzmuPYec1x7Lz2Rszfdp/Xtvuc9nJ5dJytO69tSQfiHXfc4dxzzz29f7daLWd8fNy57777rmKqXpktLCw4IuI89NBDvXvveMc7nF/+5V/2/c2XvvQlJxgMOnNzc717f/zHf+xks1mnVqs5juM4v/Ebv+EcOnTI+N0HP/hB5+67735tM/Ai+8QnPuHceOONnn8rFApOJBJxPv/5z/fuPf/8846IOA8//LDjOG/svPnZL//yLzt79uxx2u224zhbu/5ePJi1221ndHTU+b3f+73evUKh4MRiMecv/uIvHMdxnGPHjjki4jzyyCO9Z/7v//2/TiAQcC5duuQ4juP80R/9kdPX19fLn+M4zsc+9jHnwIEDvX//+I//uPO+973PSM/Ro0edX/iFX3hd8+hl3/ve9xwRcc6fP9+7t3PnTudTn/qU72/eKHn0m5B+9Ed/1Pc3W60OrwXbqvPadpvTHOfam9e205zmOHZec83Oa2/sOtzutlXnNMex85rj2HnNcd5Y+dvu89p2n9McZ3vNa1uOwlyv1+Wxxx6Tu+66q3cvGAzKXXfdJQ8//PBVTNkrs7W1NRER6e/vN+7/r//1v2RwcFAOHz4sH//4x6VcLvf+9vDDD8uRI0dkZGSkd+/uu++W9fV1ee6553rPsEzcZ65EmZw8eVLGx8dl9+7d8uEPf1guXLggIiKPPfaYNBoNI10HDx6UqampXrre6Hl7sdXrdfnzP/9z+Zf/8l9KIBDo3d/K9Uc7e/aszM3NGWnJ5XJy9OhRo87y+bzcdtttvWfuuusuCQaD8t3vfrf3zNvf/naJRqO9Z+6++245ceKErK6u9p55I+RZpNMvA4GA5PN54/4nP/lJGRgYkJtvvll+7/d+z6AyvNHz+OCDD8rw8LAcOHBAfumXfkmWl5eNtG+3OtzKtpXnte04p4lcO/Padp/TROy8Zue1rVuHW9W28pwmYuc1ETuvuWl/I+ZP5Nqc17bjnCayNee18Pf1q6toS0tL0mq1jA4uIjIyMiLHjx+/Sql6ZdZut+VXfuVX5C1veYscPny4d/+f//N/Ljt37pTx8XF5+umn5WMf+5icOHFC/vqv/1pERObm5jzz6/7tpZ5ZX1+XSqUiiUTidcnT0aNH5TOf+YwcOHBAZmdn5bd/+7flbW97mzz77LMyNzcn0Wh0U0cfGRl52XS/EfLmZX/zN38jhUJBfvqnf7p3byvX34vNTY9XWpjW4eFh4+/hcFj6+/uNZ3bt2rXpHe7f+vr6fPPsvuNKWbValY997GPyoQ99SLLZbO/+v/k3/0ZuueUW6e/vl29/+9vy8Y9/XGZnZ+X3f//3e/l4o+bxPe95j/zYj/2Y7Nq1S06fPi2/+Zu/Ke9973vl4YcfllAotO3qcKvbVp3XtuOcJnJtzWvbfU5jmuy8Zue1N3L+tpNt1TlNxM5rL06bndfeePljmq6VeW07zmkiW3de23IOxK1s99xzjzz77LPyD//wD8b9n//5n+9dHzlyRMbGxuRd73qXnD59Wvbs2XOlk/mq7L3vfW/v+oYbbpCjR4/Kzp075a/+6q+u6EB6pexP//RP5b3vfa+Mj4/37m3l+rvWrdFoyI//+I+L4zjyx3/8x8bf7r333t71DTfcINFoVH7hF35B7rvvPonFYlc6qa/KfuInfqJ3feTIEbnhhhtkz5498uCDD8q73vWuq5gya9vJtuOcJnJtzWt2Ttt+Zuc1a9a+f7Pz2tY3O69tL9uuc5rI1p3XthyFeXBwUEKh0CZlqPn5eRkdHb1KqXp5+8hHPiJ/+7d/K1//+tdlx44dL/ns0aNHRUTk1KlTIiIyOjrqmV/3by/1TDabvaITQz6fl/3798upU6dkdHRU6vW6FAqFTel6uXS7f3upZ6503s6fPy9f/epX5V/9q3/1ks9t5fpz0/NS/Wt0dFQWFhaMvzebTVlZWXlN6vVK9WN3Qjp//rx85StfMU60vOzo0aPSbDbl3LlzIrI18uja7t27ZXBw0GiT26EOt4ttxXntWpnTRLbvvHYtzGlMk53XNpud1964+dvKthXnNBE7r9l57Y2fP9eulXntWprTRLbOvLblHIjRaFRuvfVWeeCBB3r32u22PPDAA3LnnXdexZR5m+M48pGPfES+8IUvyNe+9rVNEFMve/LJJ0VEZGxsTERE7rzzTnnmmWeMBuR2ouuvv773DMvEfeZKl8nGxoacPn1axsbG5NZbb5VIJGKk68SJE3LhwoVeurZS3j796U/L8PCwvO9973vJ57Zy/e3atUtGR0eNtKyvr8t3v/tdo84KhYI89thjvWe+9rWvSbvd7k3Id955p3zjG9+QRqPRe+YrX/mKHDhwQPr6+nrPXK08uxPSyZMn5atf/aoMDAy87G+efPJJCQaDPSj5Gz2PtIsXL8ry8rLRJrd6HW4n20rz2rU2p4ls33ntWpjTROy89lJm57U3bv62sm2lOU3Ezmt2Xts6+XPtWpjXrrU5TWQLzWvfl/TKVbbPfe5zTiwWcz7zmc84x44dc37+53/eyefzhnLSG8V+6Zd+ycnlcs6DDz5oSHSXy2XHcRzn1KlTzu/8zu84jz76qHP27Fnni1/8orN7927n7W9/e+8drrT8u9/9bufJJ590vvzlLztDQ0Oe0vK//uu/7jz//PPO/fff/7pKy7v2a7/2a86DDz7onD171vnWt77l3HXXXc7g4KCzsLDgOI7j/OIv/qIzNTXlfO1rX3MeffRR584773TuvPPOLZE3WqvVcqamppyPfexjxv2tWH/FYtF54oknnCeeeMIREef3f//3nSeeeKKnavXJT37Syefzzhe/+EXn6aefdn70R3/U2bVrl1OpVHrveM973uPcfPPNzne/+13nH/7hH5x9+/YZkvKFQsEZGRlx/sW/+BfOs88+63zuc59zksnkJkn5cDjs/Nf/+l+d559/3vnEJz7xA0nKv9I81ut150d+5EecHTt2OE8++aTRL10Fq29/+9vOpz71KefJJ590Tp8+7fz5n/+5MzQ05PzkT/7kGyKPL5W/YrHo/Nt/+2+dhx9+2Dl79qzz1a9+1bnlllucffv2OdVqtfeON3odXmu2Vea17T6nOc61Ma9tpznNcey8Zue1jr3R6/Basq0ypzmOndccx85rb8T8bfd5bbvPaS+Xx608r21JB6LjOM4f/uEfOlNTU040GnXuuOMO5zvf+c7VTpKniYjnf5/+9Kcdx3GcCxcuOG9/+9ud/v5+JxaLOXv37nV+/dd/3VlbWzPec+7cOee9732vk0gknMHBQefXfu3XnEajYTzz9a9/3bnpppucaDTq7N69u/eN19M++MEPOmNjY040GnUmJiacD37wg86pU6d6f69UKs6//tf/2unr63OSyaTzT//pP3VmZ2e3RN5of//3f++IiHPixAnj/lasv69//euebfKnfuqnHMdxnHa77fzH//gfnZGREScWiznvete7NuV7eXnZ+dCHPuSk02knm806P/MzP+MUi0Xjmaeeesp561vf6sRiMWdiYsL55Cc/uSktf/VXf+Xs37/fiUajzqFDh5y/+7u/e93zePbsWd9++fWvf91xHMd57LHHnKNHjzq5XM6Jx+POdddd5/yX//JfjAH9aubxpfJXLpedd7/73c7Q0JATiUScnTt3Oj/3cz+3adH+Rq/Da9G2wry23ec0x7k25rXtNKe537Lzmp3X3uh1eK3ZVpjTHMfOa45j5zXHeePlb7vPa9t9Tnu5PG7leS3gOI7ziqCK1qxZs2bNmjVr1qxZs2bNmjVr1qxZu+Zsy8VAtGbNmjVr1qxZs2bNmjVr1qxZs2bN2pUz60C0Zs2aNWvWrFmzZs2aNWvWrFmzZs2ar1kHojVr1qxZs2bNmjVr1qxZs2bNmjVr1nzNOhCtWbNmzZo1a9asWbNmzZo1a9asWbPma9aBaM2aNWvWrFmzZs2aNWvWrFmzZs2aNV+zDkRr1qxZs2bNmjVr1qxZs2bNmjVr1qz5mnUgWrNmzZo1a9asWbNmzZo1a9asWbNmzdesA9GaNWvWrFmzZs2aNWvWrFmzZs2aNWu+Zh2I1qxZs2bNmjVr1qxZs2bNmjVr1qxZ8zXrQLRmzZo1a9asWbNmzZo1a9asWbNmzZqvWQeiNWvWrFmzZs2aNWvWrFmzZs2aNWvWfM06EK1Zs2bNmjVr1qxZs2bNmjVr1qxZs+Zr/3/V2nh/V0zXRAAAAABJRU5ErkJggg==", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "rows = 3\n", "cols = 3\n", "n = rows*cols\n", "fig, axes = plt.subplots(rows, cols, figsize=(16, 9))\n", "\n", "for i in range(n):\n", " r = i // cols\n", " c = i % cols\n", " ax = axes[r][c]\n", " plot_spectrogram(example_spectrograms[i].numpy(), ax)\n", " ax.set_title(label_names[example_spect_labels[i].numpy()])\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": { "id": "z5KdY8IF8rkt" }, "source": [ "## Build and train the model" ] }, { "cell_type": "markdown", "metadata": { "id": "GS1uIh6F_TN9" }, "source": [ "Add `Dataset.cache` and `Dataset.prefetch` operations to reduce read latency while training the model:" ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "execution": { "iopub.execute_input": "2024-07-19T06:16:00.536810Z", "iopub.status.busy": "2024-07-19T06:16:00.536078Z", "iopub.status.idle": "2024-07-19T06:16:00.551888Z", "shell.execute_reply": "2024-07-19T06:16:00.551295Z" }, "id": "fdZ6M-F5_QzY" }, "outputs": [], "source": [ "train_spectrogram_ds = train_spectrogram_ds.cache().shuffle(10000).prefetch(tf.data.AUTOTUNE)\n", "val_spectrogram_ds = val_spectrogram_ds.cache().prefetch(tf.data.AUTOTUNE)\n", "test_spectrogram_ds = test_spectrogram_ds.cache().prefetch(tf.data.AUTOTUNE)" ] }, { "cell_type": "markdown", "metadata": { "id": "rwHkKCQQb5oW" }, "source": [ "For the model, you'll use a simple convolutional neural network (CNN), since you have transformed the audio files into spectrogram images.\n", "\n", "Your `tf.keras.Sequential` model will use the following Keras preprocessing layers:\n", "\n", "- `tf.keras.layers.Resizing`: to downsample the input to enable the model to train faster.\n", "- `tf.keras.layers.Normalization`: to normalize each pixel in the image based on its mean and standard deviation.\n", "\n", "For the `Normalization` layer, its `adapt` method would first need to be called on the training data in order to compute aggregate statistics (that is, the mean and the standard deviation)." ] }, { "cell_type": "code", "execution_count": 22, "metadata": { "execution": { "iopub.execute_input": "2024-07-19T06:16:00.555342Z", "iopub.status.busy": "2024-07-19T06:16:00.554944Z", "iopub.status.idle": "2024-07-19T06:16:01.945811Z", "shell.execute_reply": "2024-07-19T06:16:01.945178Z" }, "id": "ALYz7PFCHblP" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Input shape: (124, 129, 1)\n" ] }, { "data": { "text/html": [ "
Model: \"sequential\"\n",
       "
\n" ], "text/plain": [ "\u001b[1mModel: \"sequential\"\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
       "┃ Layer (type)                    ┃ Output Shape           ┃       Param # ┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
       "│ resizing (Resizing)             │ (None, 32, 32, 1)      │             0 │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ normalization (Normalization)   │ (None, 32, 32, 1)      │             3 │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ conv2d (Conv2D)                 │ (None, 30, 30, 32)     │           320 │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ conv2d_1 (Conv2D)               │ (None, 28, 28, 64)     │        18,496 │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ max_pooling2d (MaxPooling2D)    │ (None, 14, 14, 64)     │             0 │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dropout (Dropout)               │ (None, 14, 14, 64)     │             0 │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ flatten (Flatten)               │ (None, 12544)          │             0 │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dense (Dense)                   │ (None, 128)            │     1,605,760 │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dropout_1 (Dropout)             │ (None, 128)            │             0 │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dense_1 (Dense)                 │ (None, 8)              │         1,032 │\n",
       "└─────────────────────────────────┴────────────────────────┴───────────────┘\n",
       "
\n" ], "text/plain": [ "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n", "┃\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0m┃\n", "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n", "│ resizing (\u001b[38;5;33mResizing\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m1\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ normalization (\u001b[38;5;33mNormalization\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m1\u001b[0m) │ \u001b[38;5;34m3\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ conv2d (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m30\u001b[0m, \u001b[38;5;34m30\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m320\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ conv2d_1 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m18,496\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ max_pooling2d (\u001b[38;5;33mMaxPooling2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dropout (\u001b[38;5;33mDropout\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ flatten (\u001b[38;5;33mFlatten\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12544\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dense (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m1,605,760\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dropout_1 (\u001b[38;5;33mDropout\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dense_1 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m8\u001b[0m) │ \u001b[38;5;34m1,032\u001b[0m │\n", "└─────────────────────────────────┴────────────────────────┴───────────────┘\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
 Total params: 1,625,611 (6.20 MB)\n",
       "
\n" ], "text/plain": [ "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m1,625,611\u001b[0m (6.20 MB)\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
 Trainable params: 1,625,608 (6.20 MB)\n",
       "
\n" ], "text/plain": [ "\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m1,625,608\u001b[0m (6.20 MB)\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
 Non-trainable params: 3 (16.00 B)\n",
       "
\n" ], "text/plain": [ "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m3\u001b[0m (16.00 B)\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "input_shape = example_spectrograms.shape[1:]\n", "print('Input shape:', input_shape)\n", "num_labels = len(label_names)\n", "\n", "# Instantiate the `tf.keras.layers.Normalization` layer.\n", "norm_layer = layers.Normalization()\n", "# Fit the state of the layer to the spectrograms\n", "# with `Normalization.adapt`.\n", "norm_layer.adapt(data=train_spectrogram_ds.map(map_func=lambda spec, label: spec))\n", "\n", "model = models.Sequential([\n", " layers.Input(shape=input_shape),\n", " # Downsample the input.\n", " layers.Resizing(32, 32),\n", " # Normalize.\n", " norm_layer,\n", " layers.Conv2D(32, 3, activation='relu'),\n", " layers.Conv2D(64, 3, activation='relu'),\n", " layers.MaxPooling2D(),\n", " layers.Dropout(0.25),\n", " layers.Flatten(),\n", " layers.Dense(128, activation='relu'),\n", " layers.Dropout(0.5),\n", " layers.Dense(num_labels),\n", "])\n", "\n", "model.summary()" ] }, { "cell_type": "markdown", "metadata": { "id": "de52e5afa2f3" }, "source": [ "Configure the Keras model with the Adam optimizer and the cross-entropy loss:" ] }, { "cell_type": "code", "execution_count": 23, "metadata": { "execution": { "iopub.execute_input": "2024-07-19T06:16:01.949502Z", "iopub.status.busy": "2024-07-19T06:16:01.948907Z", "iopub.status.idle": "2024-07-19T06:16:01.959249Z", "shell.execute_reply": "2024-07-19T06:16:01.958667Z" }, "id": "wFjj7-EmsTD-" }, "outputs": [], "source": [ "model.compile(\n", " optimizer=tf.keras.optimizers.Adam(),\n", " loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True),\n", " metrics=['accuracy'],\n", ")" ] }, { "cell_type": "markdown", "metadata": { "id": "f42b9e3a4705" }, "source": [ "Train the model over 10 epochs for demonstration purposes:" ] }, { "cell_type": "code", "execution_count": 24, "metadata": { "execution": { "iopub.execute_input": "2024-07-19T06:16:01.963000Z", "iopub.status.busy": "2024-07-19T06:16:01.962427Z", "iopub.status.idle": "2024-07-19T06:16:12.703262Z", "shell.execute_reply": "2024-07-19T06:16:12.702559Z" }, "id": "ttioPJVMcGtq" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Epoch 1/10\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\n", "I0000 00:00:1721369763.126953 159410 service.cc:146] XLA service 0x7fd828005cc0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:\n", "I0000 00:00:1721369763.126984 159410 service.cc:154] StreamExecutor device (0): Tesla T4, Compute Capability 7.5\n", "I0000 00:00:1721369763.126987 159410 service.cc:154] StreamExecutor device (1): Tesla T4, Compute Capability 7.5\n", "I0000 00:00:1721369763.126990 159410 service.cc:154] StreamExecutor device (2): Tesla T4, Compute Capability 7.5\n", "I0000 00:00:1721369763.126992 159410 service.cc:154] StreamExecutor device (3): Tesla T4, Compute Capability 7.5\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\r", "\u001b[1m 1/100\u001b[0m \u001b[37m━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m6:16\u001b[0m 4s/step - accuracy: 0.1094 - loss: 2.0656" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 10/100\u001b[0m \u001b[32m━━\u001b[0m\u001b[37m━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.1308 - loss: 2.1252 " ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 19/100\u001b[0m \u001b[32m━━━\u001b[0m\u001b[37m━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.1507 - loss: 2.1039" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 28/100\u001b[0m \u001b[32m━━━━━\u001b[0m\u001b[37m━━━━━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.1692 - loss: 2.0839" ] }, { "name": "stderr", "output_type": "stream", "text": [ "I0000 00:00:1721369765.765966 159410 device_compiler.h:188] Compiled cluster using XLA! This line is logged at most once for the lifetime of the process.\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 37/100\u001b[0m \u001b[32m━━━━━━━\u001b[0m\u001b[37m━━━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.1856 - loss: 2.0645" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 46/100\u001b[0m \u001b[32m━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.2008 - loss: 2.0445" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 55/100\u001b[0m \u001b[32m━━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.2143 - loss: 2.0243" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 64/100\u001b[0m \u001b[32m━━━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.2257 - loss: 2.0054" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 73/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.2360 - loss: 1.9884" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 82/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━━━━\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.2456 - loss: 1.9722" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 91/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━━\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.2546 - loss: 1.9564" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.2629 - loss: 1.9410" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 15ms/step - accuracy: 0.2637 - loss: 1.9393 - val_accuracy: 0.5898 - val_loss: 1.3619\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Epoch 2/10\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\r", "\u001b[1m 1/100\u001b[0m \u001b[37m━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m1s\u001b[0m 10ms/step - accuracy: 0.3906 - loss: 1.5216" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 11/100\u001b[0m \u001b[32m━━\u001b[0m\u001b[37m━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.4712 - loss: 1.4639 " ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 21/100\u001b[0m \u001b[32m━━━━\u001b[0m\u001b[37m━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.4847 - loss: 1.4338" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 31/100\u001b[0m \u001b[32m━━━━━━\u001b[0m\u001b[37m━━━━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.4970 - loss: 1.4108" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 41/100\u001b[0m \u001b[32m━━━━━━━━\u001b[0m\u001b[37m━━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.5052 - loss: 1.3948" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 51/100\u001b[0m \u001b[32m━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.5110 - loss: 1.3812" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 61/100\u001b[0m \u001b[32m━━━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.5155 - loss: 1.3693" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 71/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.5196 - loss: 1.3580" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 81/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.5237 - loss: 1.3467" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 91/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.5274 - loss: 1.3365" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 6ms/step - accuracy: 0.5306 - loss: 1.3272 - val_accuracy: 0.6953 - val_loss: 0.9864\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Epoch 3/10\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\r", "\u001b[1m 1/100\u001b[0m \u001b[37m━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 9ms/step - accuracy: 0.7188 - loss: 0.8524" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 11/100\u001b[0m \u001b[32m━━\u001b[0m\u001b[37m━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.6356 - loss: 0.9921" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 21/100\u001b[0m \u001b[32m━━━━\u001b[0m\u001b[37m━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.6297 - loss: 1.0137" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 31/100\u001b[0m \u001b[32m━━━━━━\u001b[0m\u001b[37m━━━━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.6304 - loss: 1.0162" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 41/100\u001b[0m \u001b[32m━━━━━━━━\u001b[0m\u001b[37m━━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.6332 - loss: 1.0113" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 51/100\u001b[0m \u001b[32m━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.6359 - loss: 1.0068" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 61/100\u001b[0m \u001b[32m━━━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.6383 - loss: 1.0019" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 71/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.6407 - loss: 0.9971" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 81/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.6429 - loss: 0.9919" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 91/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.6448 - loss: 0.9869" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.6463 - loss: 0.9828" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 6ms/step - accuracy: 0.6464 - loss: 0.9823 - val_accuracy: 0.7669 - val_loss: 0.7910\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Epoch 4/10\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\r", "\u001b[1m 1/100\u001b[0m \u001b[37m━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 10ms/step - accuracy: 0.7031 - loss: 0.8693" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 11/100\u001b[0m \u001b[32m━━\u001b[0m\u001b[37m━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.7163 - loss: 0.7920 " ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 21/100\u001b[0m \u001b[32m━━━━\u001b[0m\u001b[37m━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.7107 - loss: 0.7942" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 31/100\u001b[0m \u001b[32m━━━━━━\u001b[0m\u001b[37m━━━━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.7114 - loss: 0.7928" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 41/100\u001b[0m \u001b[32m━━━━━━━━\u001b[0m\u001b[37m━━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.7120 - loss: 0.7917" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 51/100\u001b[0m \u001b[32m━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.7125 - loss: 0.7901" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 61/100\u001b[0m \u001b[32m━━━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.7134 - loss: 0.7883" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 70/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.7139 - loss: 0.7870" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 80/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.7142 - loss: 0.7860" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 90/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.7148 - loss: 0.7846" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.7154 - loss: 0.7830" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 6ms/step - accuracy: 0.7155 - loss: 0.7829 - val_accuracy: 0.8034 - val_loss: 0.6598\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Epoch 5/10\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\r", "\u001b[1m 1/100\u001b[0m \u001b[37m━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 10ms/step - accuracy: 0.8438 - loss: 0.6772" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 11/100\u001b[0m \u001b[32m━━\u001b[0m\u001b[37m━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.8347 - loss: 0.5928 " ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 21/100\u001b[0m \u001b[32m━━━━\u001b[0m\u001b[37m━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.8086 - loss: 0.6243" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 31/100\u001b[0m \u001b[32m━━━━━━\u001b[0m\u001b[37m━━━━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.7990 - loss: 0.6336" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 41/100\u001b[0m \u001b[32m━━━━━━━━\u001b[0m\u001b[37m━━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.7924 - loss: 0.6405" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 51/100\u001b[0m \u001b[32m━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.7875 - loss: 0.6467" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 60/100\u001b[0m \u001b[32m━━━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.7842 - loss: 0.6500" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 70/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.7815 - loss: 0.6525" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 80/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.7795 - loss: 0.6546" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 90/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.7779 - loss: 0.6555" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 99/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.7768 - loss: 0.6558" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 6ms/step - accuracy: 0.7766 - loss: 0.6558 - val_accuracy: 0.8047 - val_loss: 0.6272\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Epoch 6/10\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\r", "\u001b[1m 1/100\u001b[0m \u001b[37m━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 9ms/step - accuracy: 0.8438 - loss: 0.4504" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 11/100\u001b[0m \u001b[32m━━\u001b[0m\u001b[37m━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.7892 - loss: 0.5703" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 20/100\u001b[0m \u001b[32m━━━━\u001b[0m\u001b[37m━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.7867 - loss: 0.5781" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 30/100\u001b[0m \u001b[32m━━━━━━\u001b[0m\u001b[37m━━━━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.7867 - loss: 0.5781" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 40/100\u001b[0m \u001b[32m━━━━━━━━\u001b[0m\u001b[37m━━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.7876 - loss: 0.5772" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 50/100\u001b[0m \u001b[32m━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.7888 - loss: 0.5762" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 60/100\u001b[0m \u001b[32m━━━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.7896 - loss: 0.5753" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 70/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.7906 - loss: 0.5739" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 80/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.7914 - loss: 0.5726" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 89/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━━━\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.7923 - loss: 0.5712" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 99/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.7932 - loss: 0.5703" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 6ms/step - accuracy: 0.7933 - loss: 0.5702 - val_accuracy: 0.8112 - val_loss: 0.5698\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Epoch 7/10\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\r", "\u001b[1m 1/100\u001b[0m \u001b[37m━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 10ms/step - accuracy: 0.7500 - loss: 0.7333" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 11/100\u001b[0m \u001b[32m━━\u001b[0m\u001b[37m━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.8000 - loss: 0.5693 " ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 21/100\u001b[0m \u001b[32m━━━━\u001b[0m\u001b[37m━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.8073 - loss: 0.5403" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 31/100\u001b[0m \u001b[32m━━━━━━\u001b[0m\u001b[37m━━━━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.8112 - loss: 0.5239" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 41/100\u001b[0m \u001b[32m━━━━━━━━\u001b[0m\u001b[37m━━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.8144 - loss: 0.5132" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 51/100\u001b[0m \u001b[32m━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.8160 - loss: 0.5107" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 61/100\u001b[0m \u001b[32m━━━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.8167 - loss: 0.5102" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 71/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.8179 - loss: 0.5090" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 81/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.8184 - loss: 0.5085" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 90/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.8187 - loss: 0.5082" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.8190 - loss: 0.5078" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 6ms/step - accuracy: 0.8191 - loss: 0.5077 - val_accuracy: 0.8346 - val_loss: 0.5062\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Epoch 8/10\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\r", "\u001b[1m 1/100\u001b[0m \u001b[37m━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 10ms/step - accuracy: 0.8438 - loss: 0.4653" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 11/100\u001b[0m \u001b[32m━━\u001b[0m\u001b[37m━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.8374 - loss: 0.4533 " ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 20/100\u001b[0m \u001b[32m━━━━\u001b[0m\u001b[37m━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.8354 - loss: 0.4621" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 30/100\u001b[0m \u001b[32m━━━━━━\u001b[0m\u001b[37m━━━━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.8330 - loss: 0.4712" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 40/100\u001b[0m \u001b[32m━━━━━━━━\u001b[0m\u001b[37m━━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.8327 - loss: 0.4745" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 50/100\u001b[0m \u001b[32m━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.8325 - loss: 0.4761" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 60/100\u001b[0m \u001b[32m━━━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.8327 - loss: 0.4757" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 70/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.8329 - loss: 0.4756" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 80/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.8333 - loss: 0.4750" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 90/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.8337 - loss: 0.4740" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.8342 - loss: 0.4730" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 6ms/step - accuracy: 0.8342 - loss: 0.4729 - val_accuracy: 0.8333 - val_loss: 0.4958\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Epoch 9/10\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\r", "\u001b[1m 1/100\u001b[0m \u001b[37m━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 10ms/step - accuracy: 0.8281 - loss: 0.3532" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 11/100\u001b[0m \u001b[32m━━\u001b[0m\u001b[37m━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.8476 - loss: 0.4139 " ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 21/100\u001b[0m \u001b[32m━━━━\u001b[0m\u001b[37m━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.8484 - loss: 0.4214" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 31/100\u001b[0m \u001b[32m━━━━━━\u001b[0m\u001b[37m━━━━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.8495 - loss: 0.4218" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 40/100\u001b[0m \u001b[32m━━━━━━━━\u001b[0m\u001b[37m━━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.8502 - loss: 0.4211" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 49/100\u001b[0m \u001b[32m━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.8510 - loss: 0.4192" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 58/100\u001b[0m \u001b[32m━━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.8515 - loss: 0.4179" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 67/100\u001b[0m \u001b[32m━━━━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.8521 - loss: 0.4165" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 76/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━━━━━\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.8525 - loss: 0.4156" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 85/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━━━\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.8528 - loss: 0.4148" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 95/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.8527 - loss: 0.4147" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 6ms/step - accuracy: 0.8525 - loss: 0.4149 - val_accuracy: 0.8385 - val_loss: 0.5135\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Epoch 10/10\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\r", "\u001b[1m 1/100\u001b[0m \u001b[37m━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 9ms/step - accuracy: 0.9219 - loss: 0.2617" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 11/100\u001b[0m \u001b[32m━━\u001b[0m\u001b[37m━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.8845 - loss: 0.3556" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 21/100\u001b[0m \u001b[32m━━━━\u001b[0m\u001b[37m━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.8792 - loss: 0.3616" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 31/100\u001b[0m \u001b[32m━━━━━━\u001b[0m\u001b[37m━━━━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.8766 - loss: 0.3641" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 40/100\u001b[0m \u001b[32m━━━━━━━━\u001b[0m\u001b[37m━━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.8749 - loss: 0.3676" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 49/100\u001b[0m \u001b[32m━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.8735 - loss: 0.3711" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 58/100\u001b[0m \u001b[32m━━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.8721 - loss: 0.3745" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 67/100\u001b[0m \u001b[32m━━━━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.8712 - loss: 0.3774" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 76/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━━━━━\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.8703 - loss: 0.3802" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 85/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━━━\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.8697 - loss: 0.3822" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m 95/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.8692 - loss: 0.3837" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m100/100\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 6ms/step - accuracy: 0.8689 - loss: 0.3845 - val_accuracy: 0.8516 - val_loss: 0.4833\n" ] } ], "source": [ "EPOCHS = 10\n", "history = model.fit(\n", " train_spectrogram_ds,\n", " validation_data=val_spectrogram_ds,\n", " epochs=EPOCHS,\n", " callbacks=tf.keras.callbacks.EarlyStopping(verbose=1, patience=2),\n", ")" ] }, { "cell_type": "markdown", "metadata": { "id": "gjpCDeQ4mUfS" }, "source": [ "Let's plot the training and validation loss curves to check how your model has improved during training:" ] }, { "cell_type": "code", "execution_count": 25, "metadata": { "execution": { "iopub.execute_input": "2024-07-19T06:16:12.707178Z", "iopub.status.busy": "2024-07-19T06:16:12.706914Z", "iopub.status.idle": "2024-07-19T06:16:12.985877Z", "shell.execute_reply": "2024-07-19T06:16:12.985267Z" }, "id": "nzhipg3Gu2AY" }, "outputs": [ { "data": { "text/plain": [ "Text(0, 0.5, 'Accuracy [%]')" ] }, "execution_count": 25, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "metrics = history.history\n", "plt.figure(figsize=(16,6))\n", "plt.subplot(1,2,1)\n", "plt.plot(history.epoch, metrics['loss'], metrics['val_loss'])\n", "plt.legend(['loss', 'val_loss'])\n", "plt.ylim([0, max(plt.ylim())])\n", "plt.xlabel('Epoch')\n", "plt.ylabel('Loss [CrossEntropy]')\n", "\n", "plt.subplot(1,2,2)\n", "plt.plot(history.epoch, 100*np.array(metrics['accuracy']), 100*np.array(metrics['val_accuracy']))\n", "plt.legend(['accuracy', 'val_accuracy'])\n", "plt.ylim([0, 100])\n", "plt.xlabel('Epoch')\n", "plt.ylabel('Accuracy [%]')" ] }, { "cell_type": "markdown", "metadata": { "id": "5ZTt3kO3mfm4" }, "source": [ "## Evaluate the model performance\n", "\n", "Run the model on the test set and check the model's performance:" ] }, { "cell_type": "code", "execution_count": 26, "metadata": { "execution": { "iopub.execute_input": "2024-07-19T06:16:12.989399Z", "iopub.status.busy": "2024-07-19T06:16:12.989155Z", "iopub.status.idle": "2024-07-19T06:16:13.186246Z", "shell.execute_reply": "2024-07-19T06:16:13.185470Z" }, "id": "FapuRT_SsWGQ" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\r", "\u001b[1m 1/13\u001b[0m \u001b[32m━\u001b[0m\u001b[37m━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m1s\u001b[0m 135ms/step - accuracy: 0.8281 - loss: 0.4718" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m13/13\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.8352 - loss: 0.5184 \n" ] }, { "data": { "text/plain": [ "{'accuracy': 0.8341346383094788, 'loss': 0.526006281375885}" ] }, "execution_count": 26, "metadata": {}, "output_type": "execute_result" } ], "source": [ "model.evaluate(test_spectrogram_ds, return_dict=True)" ] }, { "cell_type": "markdown", "metadata": { "id": "en9Znt1NOabH" }, "source": [ "### Display a confusion matrix\n", "\n", "Use a [confusion matrix](https://developers.google.com/machine-learning/glossary#confusion-matrix) to check how well the model did classifying each of the commands in the test set:\n" ] }, { "cell_type": "code", "execution_count": 27, "metadata": { "execution": { "iopub.execute_input": "2024-07-19T06:16:13.190089Z", "iopub.status.busy": "2024-07-19T06:16:13.189419Z", "iopub.status.idle": "2024-07-19T06:16:13.508171Z", "shell.execute_reply": "2024-07-19T06:16:13.507439Z" }, "id": "5Y6vmWWQuuT1" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\r", "\u001b[1m 1/13\u001b[0m \u001b[32m━\u001b[0m\u001b[37m━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m3s\u001b[0m 258ms/step" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r", "\u001b[1m13/13\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step \n" ] } ], "source": [ "y_pred = model.predict(test_spectrogram_ds)" ] }, { "cell_type": "code", "execution_count": 28, "metadata": { "execution": { "iopub.execute_input": "2024-07-19T06:16:13.511849Z", "iopub.status.busy": "2024-07-19T06:16:13.511576Z", "iopub.status.idle": "2024-07-19T06:16:13.520306Z", "shell.execute_reply": "2024-07-19T06:16:13.519735Z" }, "id": "d6F0il82u7lW" }, "outputs": [], "source": [ "y_pred = tf.argmax(y_pred, axis=1)" ] }, { "cell_type": "code", "execution_count": 29, "metadata": { "execution": { "iopub.execute_input": "2024-07-19T06:16:13.523976Z", "iopub.status.busy": "2024-07-19T06:16:13.523373Z", "iopub.status.idle": "2024-07-19T06:16:13.579707Z", "shell.execute_reply": "2024-07-19T06:16:13.579103Z" }, "id": "vHSNoBYLvX81" }, "outputs": [], "source": [ "y_true = tf.concat(list(test_spectrogram_ds.map(lambda s,lab: lab)), axis=0)" ] }, { "cell_type": "code", "execution_count": 30, "metadata": { "execution": { "iopub.execute_input": "2024-07-19T06:16:13.583441Z", "iopub.status.busy": "2024-07-19T06:16:13.583048Z", "iopub.status.idle": "2024-07-19T06:16:14.165028Z", "shell.execute_reply": "2024-07-19T06:16:14.164340Z" }, "id": "LvoSAOiXU3lL" }, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "confusion_mtx = tf.math.confusion_matrix(y_true, y_pred)\n", "plt.figure(figsize=(10, 8))\n", "sns.heatmap(confusion_mtx,\n", " xticklabels=label_names,\n", " yticklabels=label_names,\n", " annot=True, fmt='g')\n", "plt.xlabel('Prediction')\n", "plt.ylabel('Label')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": { "id": "mQGi_mzPcLvl" }, "source": [ "## Run inference on an audio file\n", "\n", "Finally, verify the model's prediction output using an input audio file of someone saying \"no\". How well does your model perform?" ] }, { "cell_type": "code", "execution_count": 31, "metadata": { "execution": { "iopub.execute_input": "2024-07-19T06:16:14.169046Z", "iopub.status.busy": "2024-07-19T06:16:14.168551Z", "iopub.status.idle": "2024-07-19T06:16:14.875921Z", "shell.execute_reply": "2024-07-19T06:16:14.875264Z" }, "id": "zRxauKMdhofU" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "W0000 00:00:1721369774.590227 159205 gpu_timer.cc:114] Skipping the delay kernel, measurement accuracy will be reduced\n", "W0000 00:00:1721369774.608027 159205 gpu_timer.cc:114] Skipping the delay kernel, measurement accuracy will be reduced\n", "W0000 00:00:1721369774.609167 159205 gpu_timer.cc:114] Skipping the delay kernel, measurement accuracy will be reduced\n", "W0000 00:00:1721369774.610287 159205 gpu_timer.cc:114] Skipping the delay kernel, measurement accuracy will be reduced\n", "W0000 00:00:1721369774.611414 159205 gpu_timer.cc:114] Skipping the delay kernel, measurement accuracy will be reduced\n", "W0000 00:00:1721369774.612540 159205 gpu_timer.cc:114] Skipping the delay kernel, measurement accuracy will be reduced\n", "W0000 00:00:1721369774.613666 159205 gpu_timer.cc:114] Skipping the delay kernel, measurement accuracy will be reduced\n", "W0000 00:00:1721369774.614793 159205 gpu_timer.cc:114] Skipping the delay kernel, measurement accuracy will be reduced\n", "W0000 00:00:1721369774.615928 159205 gpu_timer.cc:114] Skipping the delay kernel, measurement accuracy will be reduced\n", "W0000 00:00:1721369774.617125 159205 gpu_timer.cc:114] Skipping the delay kernel, measurement accuracy will be reduced\n", "W0000 00:00:1721369774.618240 159205 gpu_timer.cc:114] Skipping the delay kernel, measurement accuracy will be reduced\n", "W0000 00:00:1721369774.619363 159205 gpu_timer.cc:114] Skipping the delay kernel, measurement accuracy will be reduced\n", "W0000 00:00:1721369774.620525 159205 gpu_timer.cc:114] Skipping the delay kernel, measurement accuracy will be reduced\n", "W0000 00:00:1721369774.621664 159205 gpu_timer.cc:114] Skipping the delay kernel, measurement accuracy will be reduced\n", "W0000 00:00:1721369774.622794 159205 gpu_timer.cc:114] Skipping the delay kernel, measurement accuracy will be reduced\n", "W0000 00:00:1721369774.623904 159205 gpu_timer.cc:114] Skipping the delay kernel, measurement accuracy will be reduced\n", "W0000 00:00:1721369774.625133 159205 gpu_timer.cc:114] Skipping the delay kernel, measurement accuracy will be reduced\n", "W0000 00:00:1721369774.701735 159205 gpu_timer.cc:114] Skipping the delay kernel, measurement accuracy will be reduced\n", "W0000 00:00:1721369774.702943 159205 gpu_timer.cc:114] Skipping the delay kernel, measurement accuracy will be reduced\n", "W0000 00:00:1721369774.704117 159205 gpu_timer.cc:114] Skipping the delay kernel, measurement accuracy will be reduced\n", "W0000 00:00:1721369774.705319 159205 gpu_timer.cc:114] Skipping the delay kernel, measurement accuracy will be reduced\n", "W0000 00:00:1721369774.706519 159205 gpu_timer.cc:114] Skipping the delay kernel, measurement accuracy will be reduced\n", "W0000 00:00:1721369774.707713 159205 gpu_timer.cc:114] Skipping the delay kernel, measurement accuracy will be reduced\n", "W0000 00:00:1721369774.708924 159205 gpu_timer.cc:114] Skipping the delay kernel, measurement accuracy will be reduced\n", "W0000 00:00:1721369774.710136 159205 gpu_timer.cc:114] Skipping the delay kernel, measurement accuracy will be reduced\n", "W0000 00:00:1721369774.711340 159205 gpu_timer.cc:114] Skipping the delay kernel, measurement accuracy will be reduced\n", "W0000 00:00:1721369774.712551 159205 gpu_timer.cc:114] Skipping the delay kernel, measurement accuracy will be reduced\n", "W0000 00:00:1721369774.713773 159205 gpu_timer.cc:114] Skipping the delay kernel, measurement accuracy will be reduced\n", "W0000 00:00:1721369774.714986 159205 gpu_timer.cc:114] Skipping the delay kernel, measurement accuracy will be reduced\n", "W0000 00:00:1721369774.716212 159205 gpu_timer.cc:114] Skipping the delay kernel, measurement accuracy will be reduced\n", "W0000 00:00:1721369774.717466 159205 gpu_timer.cc:114] Skipping the delay kernel, measurement accuracy will be reduced\n", "W0000 00:00:1721369774.718712 159205 gpu_timer.cc:114] Skipping the delay kernel, measurement accuracy will be reduced\n", "W0000 00:00:1721369774.719863 159205 gpu_timer.cc:114] Skipping the delay kernel, measurement accuracy will be reduced\n", "W0000 00:00:1721369774.721216 159205 gpu_timer.cc:114] Skipping the delay kernel, measurement accuracy will be reduced\n", "W0000 00:00:1721369774.727151 159205 gpu_timer.cc:114] Skipping the delay kernel, measurement accuracy will be reduced\n" ] }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "x = data_dir/'no/01bb6a2a_nohash_0.wav'\n", "x = tf.io.read_file(str(x))\n", "x, sample_rate = tf.audio.decode_wav(x, desired_channels=1, desired_samples=16000,)\n", "x = tf.squeeze(x, axis=-1)\n", "waveform = x\n", "x = get_spectrogram(x)\n", "x = x[tf.newaxis,...]\n", "\n", "prediction = model(x)\n", "x_labels = ['no', 'yes', 'down', 'go', 'left', 'up', 'right', 'stop']\n", "plt.bar(x_labels, tf.nn.softmax(prediction[0]))\n", "plt.title('No')\n", "plt.show()\n", "\n", "display.display(display.Audio(waveform, rate=16000))" ] }, { "cell_type": "markdown", "metadata": { "id": "VgWICqdqQNaQ" }, "source": [ "As the output suggests, your model should have recognized the audio command as \"no\"." ] }, { "cell_type": "markdown", "metadata": { "id": "h1icqlM3ISW0" }, "source": [ "## Export the model with preprocessing" ] }, { "cell_type": "markdown", "metadata": { "id": "r7HX-MjgIbji" }, "source": [ "The model's not very easy to use if you have to apply those preprocessing steps before passing data to the model for inference. So build an end-to-end version:" ] }, { "cell_type": "code", "execution_count": 32, "metadata": { "execution": { "iopub.execute_input": "2024-07-19T06:16:14.879386Z", "iopub.status.busy": "2024-07-19T06:16:14.879128Z", "iopub.status.idle": "2024-07-19T06:16:14.885914Z", "shell.execute_reply": "2024-07-19T06:16:14.885245Z" }, "id": "2lIeXdWjIbDE" }, "outputs": [], "source": [ "class ExportModel(tf.Module):\n", " def __init__(self, model):\n", " self.model = model\n", "\n", " # Accept either a string-filename or a batch of waveforms.\n", " # YOu could add additional signatures for a single wave, or a ragged-batch. \n", " self.__call__.get_concrete_function(\n", " x=tf.TensorSpec(shape=(), dtype=tf.string))\n", " self.__call__.get_concrete_function(\n", " x=tf.TensorSpec(shape=[None, 16000], dtype=tf.float32))\n", "\n", "\n", " @tf.function\n", " def __call__(self, x):\n", " # If they pass a string, load the file and decode it. \n", " if x.dtype == tf.string:\n", " x = tf.io.read_file(x)\n", " x, _ = tf.audio.decode_wav(x, desired_channels=1, desired_samples=16000,)\n", " x = tf.squeeze(x, axis=-1)\n", " x = x[tf.newaxis, :]\n", " \n", " x = get_spectrogram(x) \n", " result = self.model(x, training=False)\n", " \n", " class_ids = tf.argmax(result, axis=-1)\n", " class_names = tf.gather(label_names, class_ids)\n", " return {'predictions':result,\n", " 'class_ids': class_ids,\n", " 'class_names': class_names}" ] }, { "cell_type": "markdown", "metadata": { "id": "gtZBmUiB9HGY" }, "source": [ "Test run the \"export\" model:" ] }, { "cell_type": "code", "execution_count": 33, "metadata": { "execution": { "iopub.execute_input": "2024-07-19T06:16:14.889244Z", "iopub.status.busy": "2024-07-19T06:16:14.888825Z", "iopub.status.idle": "2024-07-19T06:16:15.193967Z", "shell.execute_reply": "2024-07-19T06:16:15.193299Z" }, "id": "Z1_8TYaCIRue" }, "outputs": [ { "data": { "text/plain": [ "{'predictions': ,\n", " 'class_ids': ,\n", " 'class_names': }" ] }, "execution_count": 33, "metadata": {}, "output_type": "execute_result" } ], "source": [ "export = ExportModel(model)\n", "export(tf.constant(str(data_dir/'no/01bb6a2a_nohash_0.wav')))" ] }, { "cell_type": "markdown", "metadata": { "id": "1J6Iuz829Cxo" }, "source": [ "Save and reload the model, the reloaded model gives identical output:" ] }, { "cell_type": "code", "execution_count": 34, "metadata": { "execution": { "iopub.execute_input": "2024-07-19T06:16:15.198081Z", "iopub.status.busy": "2024-07-19T06:16:15.197456Z", "iopub.status.idle": "2024-07-19T06:16:16.201949Z", "shell.execute_reply": "2024-07-19T06:16:16.201204Z" }, "id": "wTAg4vsn3oEb" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "INFO:tensorflow:Assets written to: saved/assets\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "INFO:tensorflow:Assets written to: saved/assets\n" ] }, { "data": { "text/plain": [ "{'class_names': ,\n", " 'class_ids': ,\n", " 'predictions': }" ] }, "execution_count": 34, "metadata": {}, "output_type": "execute_result" } ], "source": [ "tf.saved_model.save(export, \"saved\")\n", "imported = tf.saved_model.load(\"saved\")\n", "imported(waveform[tf.newaxis, :])" ] }, { "cell_type": "markdown", "metadata": { "id": "J3jF933m9z1J" }, "source": [ "## Next steps\n", "\n", "This tutorial demonstrated how to carry out simple audio classification/automatic speech recognition using a convolutional neural network with TensorFlow and Python. To learn more, consider the following resources:\n", "\n", "- The [Sound classification with YAMNet](https://www.tensorflow.org/hub/tutorials/yamnet) tutorial shows how to use transfer learning for audio classification.\n", "- The notebooks from [Kaggle's TensorFlow speech recognition challenge](https://www.kaggle.com/c/tensorflow-speech-recognition-challenge/overview).\n", "- The \n", "[TensorFlow.js - Audio recognition using transfer learning codelab](https://codelabs.developers.google.com/codelabs/tensorflowjs-audio-codelab/index.html#0) teaches how to build your own interactive web app for audio classification.\n", "- [A tutorial on deep learning for music information retrieval](https://arxiv.org/abs/1709.04396) (Choi et al., 2017) on arXiv.\n", "- TensorFlow also has additional support for [audio data preparation and augmentation](https://www.tensorflow.org/io/tutorials/audio) to help with your own audio-based projects.\n", "- Consider using the [librosa](https://librosa.org/) library for music and audio analysis." ] } ], "metadata": { "accelerator": "CPU", "colab": { "collapsed_sections": [], "name": "simple_audio.ipynb", "toc_visible": true }, "kernelspec": { "display_name": "Python 3", "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": "3.9.19" } }, "nbformat": 4, "nbformat_minor": 0 }