{ "cells": [ { "cell_type": "markdown", "id": "633e398d-28e7-4586-97e2-18e5910393d3", "metadata": {}, "source": [ "# Audio\n", "\n", "This tutorial demonstrates how to use OpenSoundscape to open, inspect, and modify audio files using the `Audio` class.\n", "\n", "The class stores audio data (`.samples`: a 1d array containing the digital waveform signal) and metadata (`.metadata`, a dictionariy containing information such as sample rate, recording start time, etc). The `.sample_rate` attribute stores the audio sample rate in Hz. \n", "\n", "The class's methods give access to modifications such as trimming (`.trim()`), filtering (`.bandpass()`, `.lowpass()`, `.highpass()`) , resampling (`.resample()`), or extending (`.loop()`, `.extend_to()`, `extend_by()`) the signal. Properties provide measurements such as signal level (`.dBFS`, `.rms`) and duration (`.duration`). \n", "\n", "## Run this tutorial\n", "\n", "This tutorial is more than a reference! It's a Jupyter Notebook which you can run and modify on Google Colab or your own computer.\n", "\n", "|Link to tutorial|How to run tutorial|\n", "| :- | :- |\n", "| [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/kitzeslab/opensoundscape/blob/master/docs/tutorials/audio.ipynb) | The link opens the tutorial in Google Colab. Uncomment the \"installation\" line in the first cell to install OpenSoundscape. |\n", "| [![Download via DownGit](https://img.shields.io/badge/GitHub-Download-teal?logo=github)](https://minhaskamal.github.io/DownGit/#/home?url=https://github.com/kitzeslab/opensoundscape/blob/master/docs/tutorials/audio.ipynb) | The link downloads the tutorial file to your computer. Follow the [Jupyter installation instructions](https://opensoundscape.org/en/latest/installation/jupyter.html), then open the tutorial file in Jupyter. |" ] }, { "cell_type": "code", "execution_count": null, "id": "6b630803-ee1a-4082-ab8d-489a0dd0642a", "metadata": {}, "outputs": [], "source": [ "# if this is a Google Colab notebook, install opensoundscape in the runtime environment\n", "if 'google.colab' in str(get_ipython()):\n", " %pip install \"opensoundscape==0.12.1\" \"jupyter-client<8,>=5.3.4\" \"ipykernel==6.17.1\"" ] }, { "cell_type": "code", "execution_count": null, "id": "6a971720", "metadata": {}, "outputs": [], "source": [ "# download a sample audio file\n", "import requests\n", "\n", "link = \"https://tinyurl.com/birds60s\"\n", "r = requests.get(link, allow_redirects=True)\n", "with open(\"1min_audio.wav\", \"wb\") as f:\n", " f.write(r.content)" ] }, { "cell_type": "markdown", "id": "9a0b0db6-be54-450a-9046-88a0b72694ce", "metadata": { "tags": [] }, "source": [ "Import the `Audio` class from OpenSoundscape. \n", "\n", "For more information about Python imports, review [this](https://medium.com/code-85/a-beginners-guide-to-importing-in-python-bb3adbbacc2b) article." ] }, { "cell_type": "code", "execution_count": 2, "id": "a5e77714-9f88-4bbb-b344-ac2de374baba", "metadata": {}, "outputs": [], "source": [ "# Import Audio class from OpenSoundscape\n", "from opensoundscape import Audio, audio" ] }, { "cell_type": "markdown", "id": "2a555e9e-b33b-4446-a9d8-b0647324153c", "metadata": {}, "source": [ "### Load audio files\n", "\n", "The `Audio` class can load local files with `.from_file()` and online audio files with `.from_url()`. All common audio formats are supported (via the underlying [SoundFile](https://pypi.org/project/soundfile/) package). \n", "\n", "Saving files is as simple as calling the `.save()` method, and again all common audio formats are supported. \n", "\n", "> Note: Loading some formats including `.mp3` may require that you install [FFmpeg](https://www.ffmpeg.org/) first. FFmpeg comes pre-installed on many machines including on Google Colab. Note that `.mp3` files cause some operations to slow down (e.g. loading a segment from a long file). \n", "\n", "Here we download an example birdsong soundscape recorded by an AudioMoth autonomous recorder in Pennsylvania, USA." ] }, { "cell_type": "code", "execution_count": null, "id": "1795b9cf-24f6-4597-836f-bc31f141bc0b", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# load an audio file from a file\n", "# can be any file path to an audio file on your computer\n", "path = \"./1min_audio.wav\"\n", "audio_object = Audio.from_file(path)\n", "\n", "# returning the audio object from a cell will display a player widget\n", "audio_object" ] }, { "cell_type": "markdown", "id": "24491c95", "metadata": {}, "source": [ "This interactive playback widget is displayed when an Audio object is returned from a notebook cell. We can also create the widget with `.show_widget()`:" ] }, { "cell_type": "code", "execution_count": 4, "id": "f1c80cfd", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Create playback widget with normalized playback level\n", "audio_object.show_widget(normalize=True)" ] }, { "cell_type": "markdown", "id": "8446eea1", "metadata": {}, "source": [ "### Save audio files\n", "save an audio object to a file: " ] }, { "cell_type": "code", "execution_count": null, "id": "1482f1d8", "metadata": {}, "outputs": [], "source": [ "audio_object.save(\"./my_audio.wav\")" ] }, { "cell_type": "markdown", "id": "d92b2b6e", "metadata": {}, "source": [ "### Load audio from a real-world time from AudioMoth recordings\n", "OpenSoundscape parses metadata of files recorded on AudioMoth recorders, and can use the metadata to extract pieces of audio corresponding to specific real-world times. (Note that AudioMoth internal clocks can drift an estimated 10-60 seconds per month). " ] }, { "cell_type": "code", "execution_count": null, "id": "60b1cbda", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Entire audio file starts at 2020-04-04 10:25:00+00:00 and has duration 60.0.\n", "Loaded audio segment starts at 2020-04-04 10:25:15+00:00 and has duration 5.0.\n" ] } ], "source": [ "from datetime import datetime\n", "import pytz\n", "\n", "# this AudioMoth recording starts at 10:25:00 am on April 4th, 2020\n", "file = \"./1min_audio.wav\"\n", "\n", "# define a time at which we want to extract an audio clip from an AudioMoth recording\n", "# (15 seconds after the start of the recording)\n", "start_time = pytz.timezone(\"UTC\").localize(datetime(2020, 4, 4, 10, 25, 15))\n", "\n", "audio_length = 5 # seconds\n", "\n", "# Load the entire audio file and print the start time and duration\n", "a = Audio.from_file(file)\n", "print(\n", " f\"Entire audio file starts at {a.metadata['recording_start_time']} and has duration {a.duration}.\"\n", ")\n", "\n", "# Load a segment of the audio file starting at the desired date and time\n", "a = Audio.from_file(file, start_timestamp=start_time, duration=audio_length)\n", "print(\n", " f\"Loaded audio segment starts at {a.metadata['recording_start_time']} and has duration {a.duration}.\"\n", ")" ] }, { "cell_type": "markdown", "id": "28b32a33", "metadata": {}, "source": [ "### Audio properties\n", "\n", "Once an `Audio` object is loaded, you can inspect its attributes, including:\n", "* **`samples`**: The actual digitized audio data\n", "* **`sample_rate`**: The number of audio samples taken per second, required to understand the samples\n", "* **`metadata`**: A dictionary of audio file metadata such as start time, recording device, and bit depth\n", "* **`duration`**: The length of the recording, calculated by dividing the number of samples by the sample rate\n", "* **`rms` (root mean square)**: The average amplitude of the digitized sound wave\n", "* **`dBFS` (decibels relative to full scale)**: A general measure of \"loudness\" of a recording. Decibels are measured on a scale less than 0, with values closer to 0 being louder. An decrease in 6 decibels is equivalent to the sound being twice as far away.\n" ] }, { "cell_type": "code", "execution_count": 7, "id": "4f7f944c", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "First few samples: [-0.00888062 -0.00344849 0.00378418] ... \n", "Number of samples: 1920000\n", "Sample rate: 32000 Hz\n", "Duration: 60.0 seconds\n", "RMS: 0.013\n", "dBFS: -34.5\n" ] } ], "source": [ "print(f\"First few samples: {audio_object.samples[:3]} ... \")\n", "print(f\"Number of samples: {len(audio_object.samples)}\")\n", "print(f\"Sample rate: {audio_object.sample_rate} Hz\")\n", "print(f\"Duration: {audio_object.duration} seconds\")\n", "print(f\"RMS: {audio_object.rms:0.3f}\")\n", "print(f\"dBFS: {audio_object.dBFS:0.1f}\")" ] }, { "cell_type": "markdown", "id": "fd5a62a9", "metadata": {}, "source": [ "Metadata is parsed from the audio file's header. Metadata from AudioMoth recordings's \"comment\" field is parsed into extra information such as start time, battery state, and gain setting. Changes to the `.metadata` attribute of the Audio object are saved when an audio object is saved to a file. " ] }, { "cell_type": "code", "execution_count": 8, "id": "82fae3db", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'artist': 'AudioMoth 24526B065D325963',\n", " 'comment': 'Recorded at 10:25:00 04/04/2020 (UTC) by AudioMoth 24526B065D325963 at gain setting 2 while battery state was 4.7V.',\n", " 'samplerate': 32000,\n", " 'format': 'WAV',\n", " 'frames': 1920000,\n", " 'sections': 1,\n", " 'subtype': 'PCM_16',\n", " 'recording_start_time': datetime.datetime(2020, 4, 4, 10, 25, tzinfo=datetime.timezone(datetime.timedelta(0), 'UTC')),\n", " 'gain_setting': 2,\n", " 'battery_state': 4.7,\n", " 'device_id': 'AudioMoth 24526B065D325963',\n", " 'duration': 60.0,\n", " 'channels': 1}" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "audio_object.metadata" ] }, { "cell_type": "markdown", "id": "2847fd79-313f-4b4f-9b69-9d9a970bfdf9", "metadata": {}, "source": [ "### Load a segment of a file\n", "We can directly load a section of a `.wav` file very efficiently (even if the audio file is large) using the `offset` and `duration` parameters of `Audio.from_file()`\n", "\n", "For example, let's load 1 second of audio starting 30 seconds into the file:" ] }, { "cell_type": "code", "execution_count": null, "id": "6bdf6122-a1c0-4d37-b05c-ecfdb70d7d3f", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "audio_segment = Audio.from_file(file, offset=30.0, duration=1.0)\n", "audio_segment.duration\n", "audio_segment.show_widget()" ] }, { "cell_type": "markdown", "id": "d1837d79-e21b-4d20-b8ed-e4faf471255c", "metadata": {}, "source": [ "### Resample audio during load\n", "\n", "By default, an audio object is loaded with the same sample rate as the source recording. \n", "\n", "The `sample_rate` parameter of `Audio.from_file` allows you to re-sample the file during the creation of the object. This is useful when working with multiple files to ensure that all files have a consistent sampling rate.\n", "\n", "Let's load the same audio file as above, but specify a sampling rate of 22050 Hz." ] }, { "cell_type": "code", "execution_count": 10, "id": "426a36e4-c109-41ed-9476-3ce7e619c985", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "22050" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "audio_object_resample = Audio.from_file(file, sample_rate=22050)\n", "audio_object_resample.sample_rate" ] }, { "cell_type": "markdown", "id": "c44e90ae", "metadata": {}, "source": [ "### Load an audio file from a download link / URL\n", "Note that this currently does not support retaining metadata" ] }, { "cell_type": "code", "execution_count": null, "id": "49978e01", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# load a Wood Thrush recording from Xeno Canto\n", "url = \"https://xeno-canto.org/818024/download\"\n", "xc = Audio.from_url(url)\n", "xc" ] }, { "cell_type": "markdown", "id": "6a31ff9d", "metadata": {}, "source": [ "### Load multi-channel audio\n", "\n", "The Audio class currently only supports single-channel (eg, not 2 chanel stereo). By default, multi-channel audio files are summed to mono (1 channel) when loading with `Audio.from_file()`. If you want to use separate audio channels, you can load a file into one Audio object per channel:" ] }, { "cell_type": "code", "execution_count": null, "id": "12dbc48e", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# since this file is only one channel, we get back a list with one Audio object\n", "audio.load_channels_as_audio(\"./1min_audio.wav\")" ] }, { "cell_type": "markdown", "id": "37031cc7", "metadata": {}, "source": [ "## Measure and analyze audio signals" ] }, { "cell_type": "markdown", "id": "454eddad", "metadata": {}, "source": [ "### Generate a frequency spectrum\n", "The `.spectrum()` method provides an easy way to compute a Fourier Transform on an audio object to measure its frequency composition. " ] }, { "cell_type": "code", "execution_count": 13, "id": "fec5d600", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/SML161/miniconda3/envs/opso_dev/lib/python3.9/site-packages/matplotlib_inline/config.py:68: DeprecationWarning: InlineBackend._figure_format_changed is deprecated in traitlets 4.1: use @observe and @unobserve instead.\n", " def _figure_format_changed(self, name, old, new):\n" ] }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": { "image/png": { "height": 448, "width": 1260 } }, "output_type": "display_data" } ], "source": [ "# Calculate the fft\n", "fft_spectrum, frequencies = audio_object.trim(0,5).spectrum()\n", "\n", "# Plot settings\n", "from matplotlib import pyplot as plt\n", "plt.rcParams['figure.figsize']=[15,5] #for big visuals\n", "%config InlineBackend.figure_format = 'retina'\n", "\n", "# Plot\n", "plt.plot(frequencies,fft_spectrum)\n", "plt.ylabel('Fast Fourier Transform (V**2/Hz)')\n", "plt.xlabel('Frequency (Hz)')\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "9876a2c6-8f0e-4567-9af1-d4ed5a88c65d", "metadata": {}, "source": [ "## Modify audio\n", "\n", "The `Audio` class gives access to a variety of tools to change audio files, load them with special properties, or get information about them. Various examples are shown below.\n", "\n", "For a description of the entire `Audio` object API, see the [API documentation](../api/modules.html#module-opensoundscape.audio).\n", "\n", "**NOTE: Out-of-place operations**\n", "\n", "Functions that modify `Audio` (and `Spectrogram`) objects are \"out of place\", meaning that they return a new, modified instance of `Audio` instead of modifying the original instance. This means that running a line\n", "```\n", "audio_object.resample(22050) # WRONG!\n", "```\n", "will **not** change the sample rate of `audio_object`! If your goal was to overwrite `audio_object` with the new, resampled audio, you would instead write\n", "```\n", "audio_object = audio_object.resample(22050)\n", "```\n" ] }, { "cell_type": "markdown", "id": "08e0f56f-26e0-487f-bf0c-8c349913255c", "metadata": {}, "source": [ "### Trim, extend, and loop audio\n", "\n", "The `.trim()` method extracts audio from a specified time period in seconds (relative to the start of the audio object)." ] }, { "cell_type": "code", "execution_count": null, "id": "4053046b-d383-4ddf-8dc9-746b9fc148a3", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "5.0" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "trimmed = audio_object.trim(0, 5)\n", "trimmed.duration" ] }, { "cell_type": "markdown", "id": "8f19fcd8", "metadata": {}, "source": [ "Extend audio object with silence to a target duration or by a specific ammount:" ] }, { "cell_type": "code", "execution_count": null, "id": "84d76760", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "6.0" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "trimmed.extend_by(1).duration # extend by 1 second" ] }, { "cell_type": "code", "execution_count": null, "id": "4a997226", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "10.0" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "trimmed.extend_to(10).duration # provide target duration in seconds" ] }, { "cell_type": "markdown", "id": "0b1cc6fa", "metadata": {}, "source": [ "The `.loop()` method extends an audio file to a desired length (or number of repetitions) by looping the audio. Let's loop the first 3 seconds of our audio object 4 times:" ] }, { "cell_type": "code", "execution_count": 17, "id": "35d32f06", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Samples of looped clip:\n" ] }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": { "image/png": { "height": 428, "width": 1261 } }, "output_type": "display_data" } ], "source": [ "import warnings\n", "warnings.filterwarnings(\"ignore\")\n", "import matplotlib.pyplot as plt\n", "%config InlineBackend.figure_format = 'retina'\n", "\n", "looped = audio_object.trim(0,3).loop(n=4)\n", "print(\"Samples of looped clip:\")\n", "plt.plot(looped.samples)\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "5c5e403b", "metadata": {}, "source": [ "### Change the signal level (volume)\n", "\n", "We can change the signal level by a specific amount, or normalize the signal" ] }, { "cell_type": "code", "execution_count": 18, "id": "41c5b05b", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# make a quieter version of the audio, by reducing the gain by 10 dB\n", "trimmed.apply_gain(-10)" ] }, { "cell_type": "code", "execution_count": 19, "id": "0f5ccaa7", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# normalize the audio to -3 dBFS maximum amplitude\n", "trimmed.normalize(peak_dBFS=-3)" ] }, { "cell_type": "code", "execution_count": null, "id": "2971ac7c", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "max value before normalization: 0.234649658203125\n", "max value after normalization to full scale: 1.0\n" ] } ], "source": [ "print(f\"max value before normalization: {trimmed.samples.max()}\")\n", "\n", "print(\n", " f\"max value after normalization to full scale: {trimmed.normalize().samples.max()}\"\n", ")" ] }, { "cell_type": "markdown", "id": "9ebed21e", "metadata": {}, "source": [ "### Resample audio\n", "\n", "The `.resample()` method resamples the audio object to a new sampling rate. This can be lower or higher than the original sampling rate.\n", "\n", "Keep in mind that resampling can also be done while loading the file by specifying the desired sample rate in `Audio.from_file`" ] }, { "cell_type": "code", "execution_count": 21, "id": "60471584", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "original sample rate: 32000\n", "new sample rate: 48000\n" ] } ], "source": [ "print(f\"original sample rate: {audio_object.sample_rate}\")\n", "resampled = trimmed.resample(sample_rate=48000)\n", "print(f\"new sample rate: {resampled.sample_rate}\")" ] }, { "cell_type": "markdown", "id": "18703bea", "metadata": {}, "source": [ "Note that resampling audio to a lower rate reduces the sound frequencies that can be captured in the audio. The highest frequency that an audio file can capture is _half of the sampling rate_. " ] }, { "cell_type": "markdown", "id": "eaac8b54", "metadata": {}, "source": [ "### Filtering: low pass, high pass, bandpass" ] }, { "cell_type": "code", "execution_count": null, "id": "ccaef412", "metadata": {}, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAACfwAAAOACAYAAABl7iDFAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8ekN5oAAAACXBIWXMAAB7CAAAewgFu0HU+AAEAAElEQVR4nOzdB5RW1dk24GdoItIRFAOKotgTe+8aa+wNjYq919iiUaNRo8Yae4mKvWAvscQuWLD3rhgLCigdAYH519753/mm06bPda111nvmlL33OTPM90lunqeouLi4OAAAAAAAAAAAAIAGrUV9LwAAAAAAAAAAAACYOYE/AAAAAAAAAAAAaAQE/gAAAAAAAAAAAKAREPgDAAAAAAAAAACARkDgDwAAAAAAAAAAABoBgT8AAAAAAAAAAABoBAT+AAAAAAAAAAAAoBEQ+AMAAAAAAAAAAIBGQOAPAAAAAAAAAAAAGgGBPwAAAAAAAAAAAGgEBP4AAAAAAAAAAACgERD4AwAAAAAAAAAAgEZA4A8AAAAAAAAAAAAaAYE/AAAAAAAAAAAAaAQE/gAAAAAAAAAAAKAREPgDAAAAAAAAAACARqBVfS8A5sTkyZPjvffey/vdu3ePVq38KAMAAAAAAAAAQHM2bdq0GDlyZN5ffvnlo23bttHUSEnRKKWw32qrrVbfywAAAAAAAAAAABqgoUOHxqqrrhpNjZa+AAAAAAAAAAAA0Aio8EejlNr4lk7j9uzZs17XAwAAAAAAAAAA1K/hw4eXdA0tnS9qSgT+aJRatfq/H90U9uvVq1e9rgcAAAAAAAAAAGiY+aKmREtfAAAAAAAAAAAAaAQE/gAAAAAAAAAAAKAREPgDAAAAAAAAAACARkDgDwAAAAAAAAAAABoBgT8AAAAAAAAAAABoBAT+AAAAAAAAAAAAoBEQ+AMAAAAAAAAAAIBGQOAPAAAAAAAAAAAAGgGBPwAAAAAAAAAAAGgEBP4AAAAAAAAAAACgEWhV3wsAAAAAAAAAAKB5mTFjRkyYMCHGjRsXU6dOjenTp9f3koAGoGXLltGuXbvo3LlztG3btr6X0yAJ/AEAAAAAAAAAUGfGjx8f3333XRQXF9f3UoAGZtq0aTFlypQYPXp0dOrUKXr27BlFRUX1vawGReAPAAAAAAAAAIB6C/ulME+q6gWQAn8FY8eOjTZt2sT8889fr2tqaAT+AAAAAAAAAACokza+pcN+7du3j65du+b2nSp4AUlq7z1mzJgYMWJE/nrkyJHRsWPHHPzjf1r8/08AAAAAAAAAAKg1EyZMKBP269WrV8w333zCfkCJVO2zW7dueSv9u4P/I/AHAAAAAAAAAECtGzduXMl+quwn6AdUJVX1K5g4cWK9rqWhEfgDAAAAAAAAAKDWTZ06NX+moF9q4wtQlXnmmackFFz43cH/CPwBAAAAAAAAAFDrpk+fXtKyU3U/oDrpd0T6XZHMmDGjvpfToAj8AQAAAAAAAAAAQCMg8AcAAAAAAAAAAACNgMAfAAAAAAAAAAAANAICfwAAAAAAAAAAANAICPwBAAAAAAAAAABAIyDwBwAAAAAAAAAATdDpp58eRUVFeWsuhg0bVvLMAwcOrO/lNGt9+vTJ34e99967vpfSpAj8AQAAAAAAAAAAQCMg8AcAAAAAAAAAAACNgMAfAAAAAAAAAAAANAICfwAAAAAAAAAAANAICPwBAAAAAAAAAABAIyDwBwAAAAAAAAAAzcCYMWPir3/9ayy77LLRvn376Nq1a2y44YZxxx13VHnP1KlT4+GHH47DDz88Vl111ejSpUu0bt06unXrFquvvnqcfvrpMWrUqGrn7dOnTxQVFcXee++dv/7kk0/igAMOyMfnmWeeWGCBBWL77bePV155ZabPMH369Ljyyivz3B07doxOnTrFSiutFBdccEFMmTJlpvenNaS1pLmT7777Lv70pz9Fv379ol27dtG9e/fYaqut4vHHH692nIkTJ8Zdd90V+++/f6ywwgp5Hem9pPvXX3/9vJ4JEybMdD33339/bLfddtGrV6/8Ljp06BCLLbZYrLvuunHqqafG0KFDK73v+++/jz//+c/52Qtzp/e4/PLLx2677RYDBw6McePGVTnv2LFj45xzzom11147r7lNmzbRs2fP2HrrreOee+6J4uLima79scceiy233DLfn95deofpXaZ3Su0pKp6V7w40MN9++2307t0773/zzTf5lx4AAAAUTJs+I975dkxM/nVG/K5352g/T6v6XhIAAABAs/fZZ5/FtGnTolWrVrHEEkvU93KahRTGO+OMM/L+l19+Gb///e/jiy++qPTaXXbZJW677bb8/SkfkLvpppuqnSeF/x588MEcHqtMCtd9/fXXMWDAgNh2221jjz32iEmTJlW4rmXLlnkNu+66a6XjpABdCpi9+OKLlZ5P4bd//etf+TO58cYbS0KG5Z9nkUUWycG2FO4bMWJEpeOl8NqFF15Y6bkNNtggnn/++ajOoosuGv/+979jqaWWqjS4mIJ5gwYNqnaMlVdeOV5//fUyx9Lz/+EPf6g20JekoGa6rrynn346v+OffvqpynvTe06BxhQMrerdXHzxxZWeSwHA9Nw77bRTyfc9BRDr4nfGt80gU+RvuwEAAIAm56mPRsRHw//3l10f/zA+9l37f/+CGAAAAACaqxTw+uqrr+Lggw/OQaxUFe7dd9+N8847Lz799NO4++67Y6GFFqoQ4kqBq1RxLlXgW2211WLhhRfOAawU5HrqqafihhtuyMGxdP7999+PHj16VLmG9957L4fIUiW5Y489NlZZZZVcSe6JJ56Ic889NyZPnhwHHnhgbLTRRjk0Vl4KChbCfmktxxxzTA6C/fjjjzlQlsJzBx100Cy9jxQ43HnnnXOlu1QpLwXcUoW9V199NVe+Gz58eFx00UX5eY866qgK96f3kqrpbbPNNvk50rtLz5LeS6ral95net+pet/bb78dbdu2LXP/VVddVRL2W2eddXKlwL59+8Z8882X32f63qQqg2l9paUqhv37989hv1QN8JBDDslVGtN7T9UY05wvvfRSXkNlhgwZEltssUX8+uuvuSLgEUccEb/73e/y+lPVwPT9ufXWW3NgLwX17r333gpjXHLJJSU/J+m+k046KX8/0vfv0UcfzefTu60s1MncU+GPRqk5pHEBAACYcxf/59MyX2+7wkKxWPfK/yUqAAAAAHVjVqt1pSjLL79Oj+Zi3tYta+0fq5au8JfcfvvtuapcaePHj8/tY995551o0aJF/lxuueVKzqeKgCnwV9UaU4hvrbXWytX3TjnllDjzzDOrrPBXqFj3zDPP5Ha8paXKfinQl6SgXQrzlZaCZIVqdSmclyoKlq9G+Le//S23LC6orsJfktrgptDieuutV+aaFHxLLYNTPiUF8FKIrnwAMf08V/dznMbdbLPNYsaMGbnq4H777VfmfJozhRfTPIMHD67wLAU///xzbr1ckN7dxhtvXG0FvyT9WUuBu9LvOYX8UtvdYcOGxeabb57DfKkVb3nXXXddDl4mTz75ZK4MWZCqIabKhWnsVCUxtWFecMEFy9yf1piePa0hUeGvZqnwBwAAADR54yb/7y+WAAAAAGj4Utjvmue/jObioPUXi3Ztaj/Ck4Jh5cN+SaoSd+211+bgWQqnXX311XH55ZeXnE9V56qTqtyl6nSpqtsDDzxQaeCvtFQRsHzYL9l9993jhBNOyGG7FIQrH/i78sor82eqwpcCaZUF5FLgMFXNS5UGZ0WqBlg+7FeoWpda+aaqiBMnTswBweOOO67MNTMLoG2yySa5+l96J2krH/j74Ycf8mcKS1YV9ktKh/1K35dUtvaCNGb593znnXfmsF+qNnjzzTdXGvZLDjjggBxSHDp0aA7qlQ78pXdRqNyX3lH5sF+SKjSmMVIVQ2pei1oYEwAAAAAAAAAAaED22WefKs+ldqzLLrtsSWW66owePTpX/fvggw9ysC5tnTt3zuc+/PDDXEWuunDgb3/720rPpQqCK664Yt7/8suygc/p06fHc889l/c33XTTHMirTKpQmKrJ1cQ7SS2KC881s3eSjBw5MlekK7yTtBWqAqaqieWltsaFKn2jRo2a5TUX7itUMJwdDz30UP5cf/31K22ZXFohTPjyyy+XOV54F126dIltt922yvv33Xff2Vobs06FPwAAAAAAAAAAaOJWXXXVas+n0F8K8X366acxderUaNOmTZm2vRdffHE89thjZSrMlZcqBKZAYI8ePSo9v9RSS1W7hkI1u9RmuLQUMCxUlZuV55gV6fl+97vfVXk+tftNAcRnn302P39lhgwZEpdeemkOwaXWu1WpLNCXgokvvPBCfP7557H44ovHDjvskCvppfbK1bWhXWeddXKL5RSKPProo3Mr5BROTAG99G5Kf9/Ke/311/PnE088McttpMt/vwvvIr2b6ioTrrDCCnkt6WeJmqXCHwAAAAAAAAAANHFVhfAKFlhggfxZXFycQ3sF119/fay00kq5mlx1Yb+CX375pcpzVbWQLV2hr1DRr7TSYbpZfY6ZSeHCli1bztJYlYX5Tj/99By+u/vuu6sN+1X1TlIFvJNPPjmH5saOHZvfb2pr3Lt37xwAPPbYYytUOiwEEVNVwKWXXjp//dprr+Vx0lpSRcLNN988br/99grvMBkxYkS165yVtReedWbfh/Rc5dsRUzNU+AMAAAAAAAAAoMGYt3XLOGj9xaI5PW9dmNWKbqV9/PHHcfDBB8e0adNywOv444+PjTbaKPr06RMdOnTI4bPkhhtuiP32268kMNjQnqOmx3n66afjjDPOyPup2t5xxx2XA3cLL7xwzDfffCWV70477bQ488wzqxzn7LPPjgMPPDBX6UtjvvLKK7mSYapoeNFFF8Vll12WKwim70FpyyyzTK60l4J/aStUCkzhvFS9L23p/n//+99lgnmFEOAWW2wR//jHP6IhfB+YfQJ/AAAAAAAAAAA0GClI1K6NSEtN+/HHH3P1uOrOF95/ly5d8v7AgQNz2C9Vwnv++eerbMk7swp3c6uwntLrrMrMzhf89NNPOQBXXZW/wljlK9Vdd911JetKIb3u3bvP8XtZZJFFcoW+tP3666+5Yl+qGnjNNdfE5MmT49BDD43VV189t9AtLa17u+22y1syfPjwePzxx+OKK66IN954I28HHXRQ3H///SX3dOvWLb7//vvcZne55ZaLOZGeOVV6nNl7Tj83tf1z0Vxp6QsAAAAAAAAAAE1cCpLNyvklllgi2rRpk/c/+OCD/Pm73/2uyrBf8vrrr0dt6tu3b8w777xl1lmVmZ0vSKG3d955p9rA2ttvv533y4fjCu9lww03rDLsNyfvJVVMXGutteKSSy7JbXkLFRPvueeemd7bs2fP2GeffeLll1/OLZiTRx55pExL3kJoMK0rPf+cWH755fNnejfpHVUlvds5nYPqCfwBAAAAAAAAAEATd9NNN1Ubknv//ffz/iabbFJyvBDomjhxYpX3pspyDz30UNSm1CJ3gw02yPtPPvlknrMyM2bMqPY5y6vu2lQZb/To0RXeyay+l7feeiteffXVmFMbb7xxyf6oUaNmKzS4/vrrl6xzzJgxJee22Wab/Dl27Ni48cYb52hdhXeRqveldsJVSW2eqR0CfwAAAAAAAAAA0MSlUF5qFVvehAkTcuvXpEWLFiX7hWp/yWeffRYvvfRShXsnTZoUu+++e5kqcrXlkEMOyZ9TpkzJa0zteMs755xz4r333pvlMa+66qoYPHhwheOpZe1xxx2X99u1axcDBgwoc77wXtK9n3/+eYX7R44cGXvuuWe1c996663VVshLwcaCRRddtGT/xRdfrHTOglRVL7VfTtq3b1+mAmF6jkJb5/R8L7zwQrVrTM9XGKv0GIVqi3/6058qbe2b7rn22murHZs5J/AHAAAAAAAAAABN3CqrrJLDeYcddlg8++yz8cYbb+Qqb+l4qkaXpHO//e1vS+4phNZS5bytttoq/v73v+eQ2NChQ3NYboUVVojnnnsu1l577Vpf/9Zbb523JFWWS3Pedddd8eabb8bjjz8e/fv3j1NOOSU/z6xIQbiFFloofv/738fJJ5+cw22p0uEVV1wRK6+8cvz3v//N15155pnRo0ePMvfutddeJRX+UjW9yy67LAci03bBBRfkFsgffvhhrLnmmlXOn95tr1694tBDD83hv9SKN30f0rMce+yxJXOk0N4f//jHkvuefvrpWHLJJXPFw/PPPz+eeOKJ/A6GDBmSv5/rrrtu/jrZb7/9cnXEgnnmmSeHPtNnCnputNFGsccee+SWwennIT1/Cob+9a9/zT8HaazyAcoFFlggv5Nk2LBh+V2ld5buTWHEk046KTbbbLP4zW9+U227Y+bc/31HAQAAAAAAAACAJikFvVKb2CuvvDJv5e24445x0UUXlTm26qqrxhlnnJEDYKk17F/+8pcK96Vw2nLLLZcDZ7Xttttuiy222CLPldrlppBfaSuuuGJcc801OYQ2M6lyXwq6pfFSZcC0lXfkkUfmKnbl7bTTTrHPPvvkgN3333+fryutZcuWcfHFF+eWwCnIV5VUHS8FJ9NWmU6dOsWdd95ZUpWvIAUwUxW98tX3Stt2220rfaY11lgjhzR32WWX+Oabb/I7TVtVOnbsWOn3PAUiL7300vjuu+/i8MMPL3N+/vnnj0GDBsXOO+9c5bjMORX+AAAAAAAAAACgiUttYVMVt1TNbumll86BtxQoW2+99XKFuRR+K10NruC0006LRx99NDbddNPo0qVLtGnTJlem22GHHXLb2VTRrq506NAhh9VSRb0URkzV79KxVGkwhdtShb2uXbvO8nipGmCqhpcCe3379o22bdtGt27dYvPNN49///vf8c9//rPKe2+44Ya45ZZbchW8tIZUNW+RRRbJlfvSOo466qhq537//ffjvPPOy1ULl1lmmTxvCgp27tw5h/JSyPKTTz7JayktteK99957c4vjdN3CCy+c1522Pn365CDfI488Eg888EBJ693y0n2pTfPVV1+dKzemSofp+5rGSOHC9L0+++yz4+OPPy6pNFheejfp5yJV80vvPN27+OKL53eZKhWm7w+1o6i4uLi4lsaGWvPtt9+WpJdT2jj9HxIAAAAouPg/n5b5esOlesQKvTvX23oAAAAAiBwwmjZtWg6VLbHEEvW9HJqpvffeO2666aYczkstaWlavzO+bQaZIhX+AAAAAAAAAAAAoBEQ+AMAAACavF+nz6jvJQAAAAAAwFwT+AMAAACavLf/O6a+lwAAAAAAAHNN4A8AAABo8iZMmVbfSwAAAAAAgLkm8AcAAAAAAAAAAACNgMAfAAAAAAAAAADQLAwcODCKi4tj2LBh9b0UmCMCfwAAAAAAAAAAANAICPwBAAAAAAAAAABAIyDwBwAAAAAAAAAAAI2AwB8AAAAAAAAAAAA0AgJ/AAAAAAAAAAAA0AgI/AEAAAAAAAAAAEAjIPAHAAAAAAAAAAAAjYDAHwAAAAAAAAAAADQCAn8AAAAAAAAAAADQCAj8AQAAAE3K5F+n1/cSAAAAAACgVgj8AQAAAE3KL1MF/gAAAAAAaJoE/gAAAAAAAAAAAKAREPgDAAAAAAAAAACARkDgDwAAAAAAAAAAmqCBAwdGUVFR3oYNG1bfy6ER87PUcAj8AQAAAAAAAAAAQCMg8AcAAAAAAAAAAACNgMAfAAAAAAAAAAAANAICfwAAAAAAAAAAANAICPwBAAAAAAAAAABAIyDwBwAAAAAAAAAAzdTIkSPjlFNOiRVXXDE6d+4cbdu2jT59+sSee+4ZgwcPrvKeoqKivF199dWVXrP33nuXXHP00UdXes25556bz7du3TomTJgw22sfNmxYyRwDBw7MxwYNGhSbbLJJ9OjRI+add95Yaqml4qSTTooxY8ZUO9b7778fZ511Vmy22WbRq1evmGeeeaJ9+/axxBJLxIABA+KVV16Z6Xq+//77+POf/xwrrbRSdOrUKT/XAgssEMsvv3zstttueY3jxo2r9N77778/tttuu5K5O3ToEIsttlisu+66ceqpp8bQoUOrnfvZZ5/N60z3tGvXLjp27JjnPf744/O6Zmb06NF57el9pfeW3l96j+l90rC0qu8FAAAAAAAAAAAAde/JJ5+MnXfeuUII7euvv87brbfeGocddlhceuml0aLF/9UV6969eyyzzDLx4YcfxnPPPRcHH3xwhbGff/75kv10TWUK16y88so5XDe39ttvv7jhhhvKHPvkk09ysPDmm2+Op59+Ogfaykvr23DDDSscnzp1anz++ed5S/enQNw555xT6dwvvvhi/OEPf6jwLkeMGJG3FCi88847Y/7558/XFUyfPj2HAcsH69LcKQT51Vdf5eDlY489Fq+//nqFeSdPnhz77LNPHru8NGfarrrqqrjjjjti6623rnTtH330UQ73lQ4GpnHT+0pbGn+99dar9F7qnsAfAAAAAAAAAAA0M2+//XYOgKVgWapEd/jhh8c222wT8803X7z11ls5JJfCZldccUU+dt5555W5f4MNNsiBv9LBvoIUFkzV9wrefffd+Pnnn6Nr164lx6ZNmxZDhgzJ++uvv/5cP8+VV14Zr732Wqy22mpxzDHH5Mp8KWiXqurdfffdOcyWqvelAFyqnldaWkt6xq222io22mijHApMFfLS/R988EEOPKZnSu+kX79+OQBX2pQpU6J///457JfGPuSQQ3KAMFXJS+83vceXXnopV/ErL4XxCmG/ddZZJ/bff//o27dvXs9PP/2U393jjz8eY8eOrXBvcXFx7LTTTvHoo4/mr9P3c5dddslV/lJAM1UFvPDCC+O///1vvi6971VWWaXMGGnN6b0Uwn677rprrhSY1v7pp5/GRRddFDfeeGN+bzQMRcXpOw+NzLfffhu9e/fO+998800uZwoAAADJ6IlTY+BL//eXiQXH/L5fvawHAAAAgP/57LPPcrCqVatWOYxVpRRl+XVSNBut20UUFdXK0CnsVginpdBZatVbkIJxKSDXsmXL+Pe//x2bbrpphRavKYCWQn0pPJaCZ8suu2zJ+RSiS+GwQoW40pXzUjW8FBpL10+aNCnPXWhZW5DCaKuvvnreT/NvscUWs/18KVS46KKLlny95ZZbxoMPPph/xko788wz47TTTsv7qcXtP/7xjzLnR40ale9JLY0rk0J7qSrff/7zn1hkkUXiiy++yO+t4JlnnomNN9447z/88MNlKviVln7+0/tIYcKCVDkvVQdM7yJV8iu/9oLygcnkuuuuiwMPPDAHNh966KHYfPPNK9yXvo+pLXAKLq699toV2jSn93HBBRfk/b///e+5/XFpv/76a36eVA2yoPzPUr3/zmhmmSIV/gAAAIAmxb9sBAAAAGjkUthvyKXRbKx9ZESb+ep0yhS2S2G/5IADDqgQ9ku6dOkS1157bQ79zZgxI1fQS9X+CkpX5UstcUsH/gotfFMVwELgLx0rHfgrXJOCc2mOuTXPPPPkAFxlgbm//OUvOaCYqtRdf/31cdZZZ0WbNm1Kzqc2u9VJ155//vmxwgor5Ep/qTpiakNc8MMPP5TsV9f6Nq2tdNiv9L1rrbVWlWG/pHzYL9V4K1RdPPLIIysN+xW+j2ntKQyZKvylEF0hPJeCjOl9JL/97W9zy+LyUpgwXZOqBqbwH/Xv/5prAwAAAAAAAAAATd5TTz1Vsr/ffvtVeV2qCLf00ktXuCdZYIEFSkJ+hfBeQaHNbwr8pa26a1ZaaaUKLXbnRAotLrTQQpWeSxUKU8XBQqW8N998s9qxUove1AY3VTdMIcG0lW6i+s4775S5vmfPniX7qf3t7CjcmyoDpkqDsyqtLVUaTFK73uqUDiG+/PLLJftvvPFGrgCYpPdTVEWlyVQlr7JQKPVDhT8AAACgSamd5icAAAAA0HSkAFuhcl2qWled1Go2texNleFSRbjSlfFSmO/jjz8uCe8V2qh++eWXOTyWqgD+8ssv+XhqCVxoSzt9+vSS1rKlKwUmEydOzBUBq7LccstVenzVVVet9jlSC+OC9957L9ZYY40K81566aVx55135va3aY1VKR/MSxUKUwW89NxHH3103HbbbbH99tvnoF1aV+l3Vl4K2r3wwgvx+eefx+KLLx477LBD/P73v89teKtrR/v666+X7K+55poxq0pXI0zvYXbe36OPPjrL81B7BP4AAACAJkVLXwAAAACoXgreJSl8V10b2WTBBRfMn6nCXaoGlyr7FaSw3tVXX51DZCn4lyr+FcJ/yyyzTHTv3j3vL7roojnEl4Jtqa3vW2+9FePGjcvnChUAC1Kr4Q033LDK9ZSutFdajx49qn2O0usuPH/BsGHDYqONNqo2aFhaIcRYuu1tqtCXKu2lcGR6hkLL5HnnnTcH//baa6/Yddddcwvj0vbdd99cqe8f//hHjB07NlcILFQJ7Nu3b2y77bZx2GGH5UBhaSNGjIg5kVosV/YeZuf9Ub8E/gAAAAAAAAAAaDhat4tY+8hoVs9bT6pq4TqrSof1Usve0oG/0udSMDCF6dI1KfBXuCaF31J1vPp+lj333DOvL42xzz77RP/+/XMr4xRYTNX50vEZM2aUhPUqCx2mgGOqmJeCf2krVO1L4cAnnngibxdddFH8+9//rhCuO/vss+PAAw/MlQGffvrpeOWVV3IwLwUB0z2XXXZZrj548MEHl9xTugJhmq9Pnz6z9KxVBfvm9meBuiPwBwAAAAAAAABAw5GCR23mq+9VNGmpsl/y008/xbRp06qt8ldoAZsCYV26dKlQ/a9fv37x6aef5jBfCqSlz/KBv7Q/cODAknOFz9ROuFOnTmXGTNdWVcWvOj/++OMsny88f5IqExbaC5988slx1llnVXp/+aqAlUmBwBRoTFsyfPjwePzxx+OKK66IN954I28HHXRQ3H///RXuXWSRRfL8afv1119zhcC77747rrnmmpg8eXIceuihub3yiiuumK/v1q1byb2dO3eustVxdUp/P9P7Sd/LOX2/1J0WdTgXAAAAAAAAAABQzwrhsKlTp8bbb79d7bVDhw7Nn0sssUSudldeIdiXqvZ99913uapdCgemqn7lr3n33Xdj1KhRJQG70tfMrUIL3Vk5Xzoc98EHH5Tsp5a7VXn99ddne009e/bMFQNffvnlWGmllfKxRx55pEJL4PJSi+C11lorLrnkkrj99tvzsRSCvOeee0quKQT/kiFDhsScWH755efo/VG/BP4AAAAAAAAAAKAZ2WSTTUr2b7jhhiqvS0G1Dz/8sMI9pRVCe6kSYKpGV2hvm9rhlq5el1rOptBaak07ZsyYClUA59aTTz6ZK+pVJrXjvemmm0qq2hXCd0mqcFgwceLEKse/+uqr53htKcBXeE9pvsLzz4qNN964ZD+FJQvSM/Tq1SvvX3vttbkK4OxaeeWVS6r83XLLLVVWVkxBzvR+aRgE/gAAAAAAAAAAoBlZbbXVYpVVVsn71113XTz99NMVrhk7dmxuP5u0aNEiDjnkkErHKh3aS2G+8scKCoG3wjVpzHXXXTdqypQpU/J6p0+fXuHcueeeG++9917e33fffWOeeeYpOZcqFxaktsOVueqqq+LBBx+scu4XX3wxVzasSqqkmCogJu3bty8Thrz11lvLhA7LKx20W3TRRUv20/tL7X+TL7/8Mvbaa6/8Dqoybty4uPzyy8scS+8hVSBMUqXH888/v8J9aW0HHHBAfgYahqobcAMAAAAAAAAAAE1SCvqtvvrqOci15ZZbxhFHHBFbb711zDfffPHWW2/lkFwKkiXHHXdcmTa4pS200EKx+OKL58BbCglWFfhLx1KVvcI1v/vd76Jz58419jwpwPjwww/H2muvHcccc0wO8o0YMSLPeeedd+ZrUkW8U089tcx9qTVuerb3338/VygcPXp07Lnnnrkd77fffpsDeamVbhq3qta5KTB55pln5gDjVlttFb/97W9zqC+17v30009zdcA333wzX7vffvtFq1b/F9lKc6X3u8MOO+Q2vn379o22bdvGjz/+GP/5z39y2LAQFPzjH/9YZt6DDz44X3P//ffHoEGD8hwp9JgCnZ06dcohv48//jiee+65eOihh/K4hx9+eJkxTjvttLj77rvzs5544ok5+JfCgz169Mhrv+iii3I73/R+56StMTVP4A8AAAAAAAAAAJqZFVZYIQfkdt555xwMu/DCC/NW3mGHHRbnnHNOtWOlMF+hwl1RUVFJNb/y15RW2TVzI60zVdFLVfr69+9f4XwK8D3xxBM5CFdaWm9qZ7vRRhvlsF8Kv6WttOWXXz4H6lK4sSqpbXCav1DJrzLbbrttpe8yhftSsK8Q7isvrTmFFnv37l1h7XfddVccddRROVT4xRdfxAknnFDl/CnEV9nYjz/+eG7ZnNoy33HHHXkrbe+9987fr0I1QOqXlr4AAABAk1JcXFzfSwAAAACARmHTTTfNQb3UGjYFADt27JjbvC688MK5mlxqVZvawKb2sdUpHd5bZpllyrSsLejTp08sssgiJV9XVgVwbt14441x++2357G7deuWn6Vfv345BPfBBx/ktVUmPXuqbJcq5qU1tm7dOrp27Zor5V1wwQUxdOjQHBisSqrQd++99+a2x2ussUZ+f6maXtrSc++yyy7xyCOPxAMPPBDzzjtvmXtTZcHzzjsvV1dM60vrbtmyZa5+mMb661//Gp988klsvvnmlc6d1nrllVfGO++8k6s0pnBiCvGlMdJnerZUVTBVKfzoo48qHWPZZZfN7ye9p1QZMb23+eefPzbccMP8PtN7peEoKva34DRCqYxoIbX8zTff5JKrAAAAkPw0YUrc/PLXFY4f8/t+9bIeAAAAAP7ns88+i2nTpuV2pilUBHNr2LBhseiii+b9FEpLleho3r8zvm0GmSIV/gAAAAAAAAAAAKAREPgDAAAAAAAAAACARkDgDwAAAAAAAAAAABoBgT8AAAAAAAAAAABoBAT+AAAAAAAAAAAAoBFoVd8LAAAAAAAAAAAAmF19+vSJ4uLi+l4G1CkV/gAAAIAmxV/vAQAAAADQVAn8AQAAAAAAAAAAQCMg8AcAAAAAAAAAAACNgMAfAAAAAAAAAAAANAICfxHx9ddfx7HHHhtLLbVUzDfffNG1a9dYddVV4/zzz49JkybV2DyPPfZYbL/99tGrV6+YZ5558mf6Oh2fVdOmTYurr7461l133ejevXvMO++80bdv3zjooIPigw8+mOVxRo0aFaeddlr89re/jY4dO+Yt7adjP/300yyNMX78+Lj44otjww03zGtp06ZNHmf55ZePww47LN5///1ZXg8AAAAAAAAAAADVKyouLi6OZuzhhx+OPfbYI8aNG1fp+X79+sWjjz4aiy+++BzPMWPGjDjwwAPj+uuvr/Ka/fffP6655ppo0aJFtSG9LbfcMl577bVKz6cQ4eWXX57Hqs6rr74a2223Xfzwww+Vnu/Zs2c88MADsdpqq1U5xltvvRXbbrttfPPNN1Ve07Jlyzj77LPjxBNPjJr27bffRu/evfN+WkMKTwIAAEAyasKUuOXlryscP+b3/eplPQAAAAD8z2effZYLHbVq1SqWWGKJ+l4O0AR/Z3zbDDJFzbrCXwqt7brrrjns1759+xxOe+mll+Lpp5+OAw44IF/z6aefxlZbbZWr2c2pv/zlLyVhvxVXXDHuuOOOGDp0aP5MXyf/+te/4pRTTqlyjOnTp+dqgIWw3w477JArA6bw3qWXXho9evSIKVOm5Ep/1VUMTD/IW2+9dQ77pT8MJ5xwQrzwwgt5S/vp2PDhw/M16Q9AZcaMGRNbbLFFSdhvvfXWy8+S1pLCkUcffXS0bt06r/nPf/5z3HnnnXP87gAAAGB2Ne9/2ggAAAAAQFPWrCv8paDaiy++mENuKfC25pprljmfWvqmEFzy17/+NU4//fTZniMFBpdddtmcNl1llVXyPKkNb0FqGbz++uvH66+/ntfx0UcfVVpN8IYbboj99tsv7x966KFxxRVXlDn/+eefx8orr5zDi+n+NE4ar7y99torbrnllrx/9913x84771zmfDqWQpDJgAEDYuDAgRXGuOCCC+L444/P++n+dE95Dz30UK4AmKTnr+n2vs0hjQsAAMCcGTl+Stz6igp/AAAAAA2NCn/A7FDhr3LNtsJfqrCXwn5JCtKVD/slxx57bCy99NJ5/5///Gf8+uuvsz3PJZdckn/wkssuu6xM2C9p165dPp6k6y6++OJKx0khu6Rr1645iFheCvmddNJJJeG/+++/v8I1qarfbbfdlvc322yzCmG/ZJdddsnnkhQMrKztb6qCWHDqqadWut5tttmmpHrhBx98MFcVEgEAAAAAAAAAAGjGgb8HHnigZH+fffap9JoWLVrkiniFNrbPPvvsbM2Riic++OCDeX+ppZaKNdZYo9Lr0vEll1wy76fryxddTFUCU8W+QiAvhQQrs/fee5fsVxb4S1X3ZsyYUe0zlx4nXZvuKW/q1Kkl+4sttliV4/Tt27fSewAAAAAAAAAAAJh9zTbwN3jw4Pw533zz5Va4VUntdguGDBkyW3N89dVX8f3331cYp7p5vvvuuxg2bFila53ZOAsuuGD069evyrXO6jgze+ZCODH58ssvqxzniy++yJ/dunXLGwAAANSFli2K6nsJAAAAAABQK5pt4K9QMS+1wk19nquSKvOVv2dWffjhh5WOM7vzzMk4qQf1xIkTKx2nU6dOORxYlZ49e0bHjh0rXUuy//77R8uWLfP+2WefXekYjz76aLz11lt5/+CDD47ZlfppV7cNHz58tscEAACgeRD3AwAAAACgqao66daETZ48OUaNGpX3e/XqVe21Xbp0yVUAU3guhehmRwqmFcxsnt69e5fsl59nTsZJbYHTfaWr8RXGmdkYhXE++OCDSp956aWXjiuuuCIOO+ywuOuuu2LEiBFx0EEH5fa+6b0+9dRTcfnll+drN9tsszjppJNmOl9VzwEAAAAAAAAAAEAzrvA3fvz4kv327dvP9PoU+EsmTJhQa/MU5qhsnpoepyaeOQX8Xn755dhhhx3i2Wefjf79+8dqq60WW265ZVx00UU5sHf99dfHI488UmZNAAAAAAAAAADUjdNPPz2KioryNqc22GCDfH/6bMjrpOEZNmxYyfd14MCB9b2cJqPZVvgraNOmzUyvn2eeefLnL7/8UmvzFOaobJ6aHqcmnnncuHFxww035Gp+lfnyyy/jlltuyRUG11577ZhdM6ummFr6poAhAAAAlFdc3wsAAAAAAIBa0iwDf23bti3Znzp16kyvnzJlSv6cd955a22ewhyVzVN+nNJfz+44kyZNmutn/uGHH2KTTTbJLX/btWsX55xzTuyyyy65ql+qIvjCCy/EqaeeGs8991xstNFGcfPNN8euu+4as2NW2g4DAAAAAAAAAAA0J80y8NehQ4eS/Vlp0ztx4sRZboU7p/MU5qhsnvLjVBf4m9k4KfA3t898xBFH5LBfKrf56KOPlinZ2rVr19huu+1yIDBV4Pvoo49i3333zdcssMACM50XAAAAAAAAAICGIxV8AhqOFtEMpcBct27d8v63335b7bWjR48uCb+lCnZzWqVuZvOUbmFbfp45GSeF8cpXySt8PbMxSo9Tfi3pfdx33315P4X6qurPnoKCf/nLX/J+ChneeeedM50TAAAAAAAAAACAqjXLwF+yzDLL5M/PP/88pk2bVuV1H3/8ccn+0ksvPUdzlB9ndueZk3FSUG+++eardJyxY8fmtrxVGT58eIwbN67StXzyyScxY8aMvL/SSitVu5aVV155ltcNAAAAAAAAAABA9Zpt4G+dddbJn6l63xtvvFHldc8//3zJ/tprrz1bcyy66KKx0EILVRinMi+88EL+/M1vfhN9+vSpdK0zGyeF+D799NMq1zqr41T3zK1a/V8X6OqCksmvv/5a6X0AAABQm4qLi+t7CQAAAADQIE2ePDnOP//8XOSpQ4cOeVtttdXi8ssvrzIHkro/pk6TVXWBLLj55ptj/fXXjy5duuTOkMsvv3z87W9/Kyk6lcZI2+mnn14r65wdKZuT1rL33nvnr1977bXYbbfdcoGt1Dk0fe6zzz4zLXCVimpdeeWVsdNOO8USSyyRi3PNM888Of+z7bbbxl133VVSWKu6Z7300kvz++3evXu0bt06unbtGksuuWRsscUWcdFFF8WwYcMqvTdlnvbbb7/o169fnruw9lSk67DDDouHHnqo2r8vTYXSjjnmmPy96tSpU8w777yx2GKL5ffy+uuvz/Q9Tp8+PT//6quvHh07dsxjpO/ZBRdcEFOmTJnp/cyZZpvC2m677eKcc87J+zfeeGP+wSsv/YFLv4ySzp07x4Ybbjhbc6RfDOkP71VXXZV/AbzyyiuxxhprVLguHS/8gkjXp/tKS38oU6W9jz76KO6+++648MILo127dhXGGThwYMn+9ttvX+H8NttsE4ccckh+rvTMu+66a6XrLozTokWLfE9lv/DSL4MXX3yx2ucvHRxM4UcAAACoL0su2KG+lwAAAAAA9erHH3+MzTffPN5+++0yx1PYLW1PPvlkPPDAAzkvMjtSQaidd945HnzwwTLH33///bzdeuut8Z///Kfe11mVG264IQ466KAyQcJvv/0252fuuOOOuOWWW/LzVRZ269WrV6WBvu+//z6H7dJ2/fXXx3333ZdDkJUFBjfZZJP48MMPyxwfPXp03lLhr8cffzyPl0J0pV188cVx3HHHVZg/rT1tb775Zg7jjR8/vtK503gnn3xymYJeyVdffZW3lJk65ZRTcmizMhMmTIgtt9yyQn7orbfeylt6d//6178qvZe502wr/KXU77rrrpv30x+sl19+ucI1KViXQnbJUUcdlRO0pT333HMl6eNC4re8o48+Olq2bJn3jzjiiPjll1/KnE9fp+OFKnjp+sqkP6DJzz//HCeccEKF81988UVJgHHxxRevNPC34IILxh//+Me8/8QTT8Q999xT4ZpBgwblc8mee+6Z7ylt/vnnLwktDh06NG666aZK1/v111/H2WefnffT+9lqq60qvQ4AAADqQvt5mu2/eQQAAABodFIRokm/Tmo2W111rNhhhx1ysOzII4/MAbxUHe7222/PRaiShx9+OK677rrZHjdlagphv2WXXTYXoUrBvKeffjoOP/zw+PLLL6ssSlWX66xMChUefPDB0aNHj7jsssvi1VdfzQWuTjzxxFypL1WpS1mbyqrdFb5vG220Ua5GmIJ5aa0pT5RChGuuuWY+n54hVdurTMoMFcJ+e+yxRw4GpsJh6f2lsOBpp50Wv/vd7yrc9+6775aE/VIRrpRxSu87Be1Sl9H0fnbfffdc9a8yab3HH398Dvv99re/zcXMnnrqqfyct912W157er4zzzwzVx+sTFpvIeyXclgp4Jfuf/TRR3NAMgUOU5CSmldU3Iz73KQf8tSyNoXuUpI1pVZTFb/09Z133hnXXnttSYW99AOZyoOWlv6AFqr+DRgwoEyFvdJOOumkOPfcc/P+iiuumH8p9O3bN4f0zjvvvLyOwnV///vfKx0jpYJT2dMhQ4bkr3fcccc44IADchnUFLxLf8BGjBiR08uPPPJILulZmW+++SaX7Rw5cmQOGB577LHxhz/8IZ9L96VfACmxnEqEpj94KYlcXnrulC5Oa0phvvQHeJdddsnXplRw+sV3ySWXxE8//ZSvT6VDazqxm5LIqQRp4ZkqWycAAADN008TpsTNL39d5tjKi3SJ9fp1r7c1AQAAABDx2Wef5UxCyiuk9qdVSSG4gR9UnsFoivZedu9o17pip8eakNrnnnHGGXk/FbpK1fHKt+ZNxaeWWWaZXFkvhb/eeeedMufT9SkLknIrKTNSWsq8pBxKih+lkFgKnaW2sKWlglSlK+T99a9/rdDWtybWOTtSh8tUzCpZZJFFcsiufFGsZ599NjbddNP8M7vqqqvmfE5p6ZlT9icV5qpKetZUIS/laz755JMyP/eplW9qg5tCdym/U76CX/lnT21+C1IQMGWFUqAvrWGBBRao9L6xY8fmvFPpaogpYLjCCivkedP60la+G2kKEqYsVKrOmDJV//3vf3NGqSCF+gp5o1TlLwU+05/r0tJzp7ELUhC0qoJqc/s7o7llippthb9C+C71yk5/eFKZyRT4S798UvK2dNgv/ZCWD/vNjlTpbt999y35Rde/f//8iyB9FsJ+KRR31llnVTlGqhKYypGm+5J77703ly9NrYhT2jeF/VKy+Jprrqky7JekH+iUdE6/pNIfiBQ4TJUO05b207F0Ll1T1Q98+oWaynamXxrpl1cqXbr11lvn97neeuvFqaeeWhL2S8+YyoMCAAAAAAAAAFB/Ur6kfIguSUGyffbZJ++/9957OSQ2q1K+plBrLFWVKx/2S3baaadKO1XW5Tqrk4pjlQ/7JakIWCrGlaSKe+Wr/KWQXHVhv0IwL3XTTO8oVewrH+IrtNNNeZvqlA77JT/88ENJrqmqsF/SqVOnCq2P0/OmeVdZZZVKw35JuidVPExZpJSpKt9FtJAFSufT97182C9J7YCXW265ap+LOdOsA39JCqqlMpfHHHNM/kPQrl276Ny5c/6hLlTfm9kfzplJfwhS2+AUHNx2221joYUWijZt2uTP9PW///3vXAFvZr3F0y+Al156Kf+hWWeddaJbt27Rtm3bWGyxxfIvmFQWdP/995/pelJIMP3iK/zBSknctC2//PL5WOqfnq6pTir7+fHHH+dwXwpJpl8s6Q9vCgEuueSSOeX7zDPP5HKd6VkBAACgrjTbVgYAAAAAUI3UmrYqqUpfkoJpX3311SyPmdrAJqlIVGrnW5W99tqrXtdZlVS1LmV3qlIo8FX6WauSquJ9//33uZJfyt6k7aOPPiopuFW+ImHK/RQyNanYVirSNat69uxZUq2vfOXBmUlFwArdRSsL+xWk/FTKEiUvv/xyyfHUEbRQ6TFVQEz5p8qkHFTKD1HzKsYrm6FUmvOiiy7K2+xIaeLZ6YicSlimbW6kUN0hhxySt7mRwoOptGfa5lT6hZTKb6YNAAAAGjIhQAAAAACau6WWWmqWKsiNHz9+lsZLLWk///zzMkG8qqTCW7W9zhSwq8qiiy6ai1iVl4KKlVWnK0itb1Mob+rUqbm4VnkpN3TbbbflQmCvvvpq/PLLL1WONWrUqDJfp+p4u+66aw77pQp6qYrgLrvskvNIa621Vg7cVWW33XaLc845J6ZMmRJrr7127hK61VZb5QJiKXhZVZAvtTEeOXJk3j/ppJPyNisKFQWT1EJ40qRJeb/QqbQqq6222iyNz+wR+AMAAAAAAAAAoMGYt9W8sfeye0dzet66kLpeVqV0V8pUwW1WjBkzpmS/e/fu1V47s/M1sc5CNbrKPPvss5W2Ce7Ro0e1a0lhwBQyTIG31IK3fOBxhx12iMceeyxmRWVhwMsvvzy/x1R1L4Xxzj///Lyl51xppZVyAPDAAw/MrXnLhyJT183UEXT06NHxyCOP5K1QBCwFANN96667bpn7RowYEXOiEPBLSr+Hmb2/6toNM+cE/gAAAAAAAAAAaDBSdbJ2rasOfUFNqa6l7cycffbZJWG/9ddfPw477LAc0ltwwQVj3nnnLQknrrfeevHiiy9W2kW0Y8eO8dBDD+W2vHfffXdulfv222/nMOPrr7+etwsuuCAeeOCBWHPNNcvcm1rybrLJJnHXXXfFE088kedI1ftSJcFbb701b6ml7g033FCyltIhydNOOy123nnnWXrWyqojzu37Y84J/AEAAAAAAAAAALOldMvZQpvYqszsfE2oLFA3Mz/++GO156dNm1ZS0a50O+E017/+9a+8n6roPfPMM2WqD5ZWvjJgVa1vC+1vU6viFPwbOHBg3HfffbkqXwr3pVa6KUhYWqr8lyr5pS356KOP4sEHH4zLLrssvv/++7jpppty2+Kjjjoqn+/WrVvJva1bt47lllsuZleXLl1m+f3N7DxzpvKfNAAAAIBGqrK/15uTv+wDAAAAAKrWtm3b6Nu3b95/4403qr02VapriFI1vRTqq8o777wTU6dOzfulw3EpxJfa/CapSl5VYb8JEybEJ598Mltr6tChQ2y99dZx7733xpFHHpmPDR8+PAYPHjzTe5deeun485//HK+88kpJVb5UObBgscUWK2kPPGTIkJgT6XteCB6+9tpr1V47s/PMGYE/AAAAAAAAAABgtm288cb586233ooPPvigyutuvvnmaIhScO/hhx+u8nxqh1uQ2ucWlA4JTpw4scr7UxXA6gKFs/p+k9Sqd1b17t07+vXrV+G+li1bxpZbbpn3n3zyyVwRcHa1atUqNthgg5IxUhixMjNmzMgVBql5An8AAAAAAAAAAMBsS61ki4qK8v4BBxwQv/zyS4VrUqW6+++/PxqqP/3pT5W2nn3++efj2muvzfsrr7xyrLrqqiXnunfvXtLS+I477ogpU6ZUWt3u1FNPrXLeL7/8Ms9RnRSoK1h00UVL9h944IEYM2ZMlfd988038fHHH1e4LznppJNy8C8F8nbaaaf49ttvqxxn+vTpcdttt1W45pBDDsmf6bkPOuigfF1555xzTrz33nvVPh9zptUc3gcAAADQaGjoCwAAAAA1LwXhUtAvBeNefvnlHIo7/vjjc/vbcePGxX333RdXXXVVrLbaajF06NB8TyEg2BD87ne/iw8//DA/RwrCpXWmENu///3vuPjii3N1vlTR7oorrihzX2rh+8c//jEff/fdd2OdddbJwcElllgixo4dm++/8soro3379rHQQgvFp59+WmHu//73v7HhhhvGMsssE9tvv32sssoq8Zvf/KYksHfXXXeVtONdYYUVYvXVVy+595JLLsnzb7XVVrHRRhvlVr6pVe/o0aNz++TLLrusJHx58MEHl5l3+eWXjwsuuCCOOeaY/Ozpe5WCm2mcBRZYICZPnhzDhg3L38977rknV/BLwb1evXqVjJFaDqctVUdM29prr53HS88/YsSIGDhwYF5/eqaG2s65MRP4AwAAAJqU4krifSPHV/wXtgAAAADA3Evhsu+//z4eeeSR3NZ37733LnM+VZi7/fbbY/HFF89ft23bNhqKFKQ7/PDDc8W69FlemzZtclva0mG7grPPPjuGDBkSb7/9dg617b777mXOd+3aNVc3PO200yoN/BWk0F3aqrLUUkvl4GT5oOSkSZNi0KBBeatMCiWeccYZsd1221U4d/TRR8d8882XP1NA8fzzz89bZdI7qOx7lir/bbHFFvkdvPrqq9G/f/8y51dcccW45pprcpiSmqWlLwAAANDkfTe6YisRAAAAAGDupUDYQw89FDfeeGOudJcqzbVr1y5XnTv55JPjjTfeiG7dupVcn843JPvvv3+8+OKLscsuu+RqfOl5UqW9vfbaK956660KQbbSz5HCbmeeeWaumpdCcamiX3ru4447Lt55551Yb731qpx33XXXjeeeey5XFkyV/lIgskOHDtG6detcaW/TTTeNq6++OgcKy7flTW2EU1XFFDJMocUFF1wwVyJM8y+77LI5wJjWfsopp1Q5f6rMmNoKp1BgqtA3//zz5zFSELBfv36x44475vm/++67krBmaWmtaf0p8JkqO6a507G0ntTO96WXXsqhR2peUXFxsa42NDqpN3jv3r1LypiWLhsKAABA8zZi/OS47ZX/Vjh+zO/71ct6AAAAAPifzz77rKRFamr9SfMxePDgHHBLnnrqqdh4443rdT19+vSJr7/+OgYMGJDbz9J0fmd82wwyRSr8AQAAAAAAAAAAtSZVpEtS9TotXmHuCPwBAAAAAAAAAABzZNSoUTFmzJgqzz/xxBNxzTXX5P1tttkmOnfuXIerg6anVX0vAAAAAKBGFdf3AgAAAACg+Xj//fdj2223jZ133jk22WST6Nu3b7Ro0SK3zH3ooYfi1ltvjenTp8e8884bf//73+t7udDoCfwBAAAAAAAAAABzbNy4cXH99dfnrTIdO3aMQYMGRb9+/ep8bdDUCPwBAAAAAAAAAABzZJVVVomBAwfG448/Hu+8806MHDkyt/hNIb/FF188Nt988zj88MOje/fu9b1UaBIE/gAAAAAAAAAAgDnSvn37GDBgQN4ai2HDhtX3EmCOtZjzWwEAAAAAAAAAAIC6IvAHAAAAAAAAAAAAjYDAHwAAAAAAAAAAADQCAn8AAAAAAAAAAADQCAj8AQAAAAAAAAAAQCMg8AcAAAA0KcX1vQAAAAAAKtWyZcv8OW3atJg+fXp9LwdowGbMmFHye6Lwu4P/EfgDAAAAAAAAAKDWtWvXrmR/zJgx9boWoGGbMGFCFBf/7593zzvvvPW9nAZF4A8AAAAAAAAAgFrXuXPnkv0RI0bkbfLkySWhHoBU2W/cuHHxww8/lBzr0KFDva6poWlV3wsAAAAAAAAAAKDpa9u2bXTq1CnGjh2bv/7pp5/yVlRUpGUnkKU2vqVDwKm633zzzVeva2poBP4AAAAAAAAAAKgTPXv2jDZt2sTIkSNLjqVwz7Rp0+p1XUDDk8J+Cy+8cA4F838E/gAAAAAAAAAAqBMpuDP//PNHx44dY8KECTFx4sSYOnVqbuMJkKp9pqBfauObKvsJ+1Uk8AcAAAAAAAAAQJ1KVf66du2aNwBmXYvZuBYAAAAAAAAAAACoJwJ/AAAAQJPXvcM89b0EAAAAAACYawJ/AAAAQJNSXFzxWIe2repjKQAAAAAAUKME/gAAAAAAAAAAAKAREPgDAAAAAAAAAACARkDgDwAAAAAAAAAAABoBgT8AAAAAAAAAAABoBAT+AAAAAAAAAAAAoBEQ+AMAAAAAAAAAAIBGQOAPAAAAAAAAAAAAGgGBPwAAAAAAAAAAAGgEBP4AAACAJqU4iut7CQAAAAAAUCsE/gAAAAAAAAAAAKARaFVfE48dOzYmTpwYrVu3jk6dOkWbNm3qaykAAAAAAAAAAADQ4NVJ4O+7776Lxx9/PJ5//vl444034quvvoopU6aUuaZHjx6x7LLLxuqrrx6bbrpprLPOOtGyZcu6WB4AAAAAAAAAAAA038Df1KlT484774zrr78+hgwZEsXFxfl44bO8H3/8MUaMGBHPPvtsnHvuuTH//PNH//794+CDD46ll166tpYJAAAAAAAAAAAAzTPw98svv8QVV1wRF1xwQYwcObJMwK9z586x4oor5mp+Xbt2jS5duuTrf/755xg9enR8+umn8cknn+R70r2XX3553jbffPM444wzYpVVVqnp5QIAAAAAAAAAAEDzC/zddNNN8Ze//CWGDx+eQ3utW7fOYb0dd9wx1lhjjejXr99Mxxg/fny8/vrr8fTTT8cdd9yR2/8+9thjuSXwLrvsEueff3706tWrJpcNAAAAAAAAAAAADV6Lmhxsn332ie+//z4H+66++ur44Ycf4sEHH4y99tprlsJ+SYcOHWLDDTeMs846K7744ot46aWXYt99941WrVrF3XffHTfccENNLhkAAAAAAAAAAACaX+BvueWWy1X5PvzwwzjwwANzy965lSoD/utf/4rPP/88DjrooGjbtm2NrBUAAAAAAAAAAACabUvfd999N2pL796948orr6y18QEAAICmobi4vlcAAAAAAACNoMIfAAAAAAAAAAAAUDsE/gAAAAAAAAAAAKC5tfStyt/+9rf8ucgii8SAAQNm6Z6RI0fGVVddlfdPO+20Wl0fAAAAAAAAAAAANHR1Evg7/fTTo6ioKO8/88wzcd1110WbNm2qvWfEiBEl9wn8AQAAAHOjuLi+VwAAAAAAAI2spW9xcXHceuutscEGG8SPP/5Yl1MDAAAAAAAAAABAo1angb/NN988h/5effXVWG211eLtt9+uy+kBAAAAAAAAAACg0arTwN8FF1wQl112WbRs2TK++eabWGeddeLee++tyyUAAAAAAAAAAABAo1Sngb/ksMMOi8ceeyy6dOkSkyZNil133TX+9re/1fUyAAAAgCaquJJjX42aWA8rAQAAAACARh74SzbeeON45ZVXol+/fjFjxow444wzon///jF58uT6WA4AAAAAAAAAAAA0ePUS+EuWWGKJePXVV+P3v/99FBcXx6BBg2LdddeN77//vr6WBAAAAAAAAAAAAA1WvQX+kk6dOuX2vocffngO/b355pux6qqrxmuvvVafywIAAAAAAAAAAIAGp0W9L6BFi7j00kvj6quvjlatWsXw4cNj/fXXj9tuu62+lwYAAAAAAAAAAAANRr0H/goOPPDAeOKJJ6Jbt24xefLkOO+88+p7SQAAAAAAAAAAANBgNJjAX7LBBhvEK6+8EksttVRu8QsAAAAAAAAAAAD8T6uoAzfeeGP+7NWr10yv7du3bw79HXHEEfHf//63DlYHAAAAAAAAAAAADV+dBP4GDBgwW9d37NgxbrrpplpbDwAAAAAAAAAAADQ2DaqlLwAAAMDcKi4uru8lAAAAAABArRD4AwAAAAAAAAAAgObY0veFF16o6SFjvfXWq/ExAQAAAAAAAAAAoFkH/jbYYIMoKiqqsfHSWNOmTaux8QAAAAAAAAAAAKAxqvHAX1JcXFwbwwIAAAAAAAAAAECzVeOBv7/+9a/Vnh8xYkRcddVVuXLfaaedVtPTAwAAAAAAAAAAQJNU54G/Dz74IAf+ZuVaAAAAAAAAAAAA4H9a/P9PAAAAAAAAAAAAoAET+AMAAAAAAAAAAIBGQOAPAAAAaFKKi+t7BQAAAAAAUDsE/gAAAAAAAAAAAKAREPgDAAAAAAAAAACARkDgDwAAAAAAAAAAABoBgT8AAAAAAAAAAABoBAT+AAAAAAAAAAAAoBFoVdMD7rvvvtWeHzNmzCxfmxQVFcX1119fI2sDAAAAAAAAAACAxqrGA38DBw7MIb3qFM7fdNNNszSmwB8AAAAAAAAAAADNXY0H/pLi4uIaG2tm4UEAAAAAAAAAAABoDmo88PfVV1/V9JAAAAAAAAAAAADQ7NV44G+RRRap6SEBAAAAAAAAAACg2WvRkNv5AgAAAAAAAAAAALUU+OvRo0cMGDAgBg0aFOPHj6/p4QEAAAAAAAAAAKBZqvHA308//RS33npr9O/fP7p37x6bbLJJ/POf/4wvv/yypqcCAAAAAAAAAACAZqPGA3+33XZb7LrrrtGpU6eYOnVqPPPMM/GnP/0pllhiiVh22WXjxBNPjMGDB2v9CwAAAAAAAAAAAPUZ+Nttt93i9ttvj5EjR+aw3zHHHBOLL754Dvh99NFHccEFF8T666+fW//utddecffdd8e4ceNqehkAAAAAAAAAAADQpNR44K+gZcuWscEGG8SFF14Yn3zySXz88cdx/vnnx7rrrpvPFVr/poCg1r8AAAAAAAAAAABQT4G/8vr16xfHHntsPPfcczFixIjc+rd///659e+vv/5apvXvMssso/UvAAAAAAAAAAAA1Efgr7TOnTuXaf377LPP5rBfofVvqgZYuvXvnnvumVv/jh8/vj6WCwAAADQilf3bwS7tWtfHUgAAAAAAoPEH/kpL7X1TsC8F/Eq3/l1vvfVKWv+maoApIHjxxRfX93IBAAAAAAAAAACgeQb+qmr9m6r+FVr/7rrrrrn1LwAAAAAAAAAAADRXraIBK7T+Tdv06dPj559/ru8lAQAAAI1QJV1+AQAAAACg0WlwFf6qktr7du/evb6XAQAAAAAAAAAAAPWi0QT+AAAAAAAAAAAAoDmr1cDfrbfeGtttt10sv/zyscIKK+TWvA888MAs3fvBBx9EixYtolWrBt11GAAAAAAAAAAAAOpEraTpxo4dG9tss00MHjy4zPH33nsv7r777lhllVXilltuiX79+s10rOLi4tpYIgAAAAAAAAAAADQqtVLhr3///vHiiy/msF7aunXrFh06dCj5+vXXX4+VVlopBg0aVBvTAwAAAJTh3xMCAAAAANAU1Hjg77HHHosnnngiioqKYp111slV/UaMGBFjxoyJN998M3bccccc+ps0aVJu8Xv11VfX9BIAAACAZqw4pPsAAAAAAGiaajzwd/PNN+fPJZdcMp588slYdtllS86tsMIKuapf2lLFvxkzZsRhhx0W55xzTk0vAwAAAAAAAAAAAJqUGg/8vfrqq7m635/+9Kdo27ZtpdekKn+vvPJK9OnTJ1f7O+WUU+Kkk06q6aUAAAAAAAAAAABAk1Hjgb8ff/wxf6644orVXrf00kvH4MGDY5lllsmhv3/84x9x+OGH1/RyAAAAADT5BQAAAACgSajxwF9q05tMmzZtptcutNBC8eKLL8Yqq6ySQ39XXXVV7LPPPnkfAAAAAAAAAAAAqMXA34ILLpg/hw0bNkvXd+nSJZ555plYb731ctDv5ptvjv79+8evv/5a00sDAAAAAAAAAACARqvGA3/LLbdc/nzuuedm+Z727dvH448/HptvvnkO/d1zzz0xYMCAml4aAAAAAAAAAAAANFo1Hvhbf/31S0J7s1Olr23btvHQQw/FjjvumO9///33a3ppAAAAAAAAAAAA0GjVeOBvq622yp8///xzbs87O1q1ahV33XVX7L333jn0BwAAAFAT/D0DAAAAAABNQauaHnDppZeOPffcM77//vt46aWXYr/99put+1u0aBE33HBDdOnSJe67776aXh4AAADQxMn2AQAAAADQVNV44C+56aab5nqMCy+8MG8AAAAAAAAAAABALbT0BQAAAAAAAAAAABpZ4G/YsGGzdRwAAAAAAAAAAACo48DfAw88EP369YvnnnuuzPHnn38+H0/nAQAAAAAAAAAAgHoO/G266abRs2fPOO6448ocT1//5je/ic0226y2pgYAAAAAAAAAAIAmp9YCf+3atYvLL7883nzzzbjlllvysVtvvTXeeOONuOyyy2LeeeetrakBAAAAAAAAAACgyam1wF+y9dZbx3bbbRennHJKjBkzJk4++eT89R/+8IfanBYAAAAAAAAAAACanFoN/CWpmt/o0aNj7bXXjrFjx+aqfwAAAAAAAAAAAMDsaRU1rEWLFlFUVFTh+Mcff5w/e/fuXeZ4unbatGk1vQwAAACgmSqu7FhlBwEAAAAAoLkH/k477bQKgb8LL7wwJkyYEB06dIg//elPNT0lAAAAAAAAAAAANHk1Hvg7/fTTy3x9yy23xKRJk3Ir3yOOOCL69u0be+yxR01PCwAAAAAAAAAAAE1ai9ocfPTo0XHsscfGrrvuGoceemj0798/f52OAwAAAAAAAAAAAA0k8HfCCSfkVr7nnHNO/vrvf/97jB8/Pk488cTanBYAAACgjOIoru8lAAAAAABAww38DR48OG644YY4/PDDY+GFF87HFllkkTjqqKPy8SFDhtTW1AAAAAAAAAAAANDktKqtgVPIb8CAAXHKKaeUOX7yySfHjz/+WBICBAAAAAAAAAAAAOo58Jcq+ZXXoUOHSo8DAAAAAAAAAAAA9dDSd8aMGXHLLbdEcXFxmePp61tvvbXCcQAAAAAAAAAAAKAeAn+DBg2KvffeO66//voyx2+88cbc6jedBwAAAKhplf0jQ//uEAAAAACApqDWAn+77rprrLnmmnHaaafFpEmT8rH0eeqpp8baa68du+yyS21NDQAAAAAAAAAAAE1OrQX+kmuuuSZ++umn+Mc//pG/Tp+jRo2Kq6++ujanBQAAAAAAAAAAgCanVgN/yy67bBx77LFx4YUXxhtvvBEXXHBBHHfccbHMMsvU5rQAAAAAAAAAAADQ5LSq6QFfeOGFMl+vv/76cfnll8eGG24YLVu2jPXWW6/CNekYAAAAAAAAAAAAUIeBvw022CCKiooqHC8uLs7Ht9xyywrHpk+fXtPLAAAAAChRXN8LAAAAAACAhhj4e/bZZ8t8/csvv8Quu+ySw30tWrSIu+66K+add95oSL7++uu49NJL49FHH41vvvkm5plnnujbt29e92GHHRbt2rWrkXkee+yxuPbaa+O1116LkSNHRvfu3WPVVVeNAw88MLbYYotZGmPatGnxr3/9K2677bb4+OOPY8KECbHQQgvFJptsEkceeWRuozwrRo0alZ/5gQceiGHDhuVjffr0ie222y6OOuqo6Nat2yw/10cffRQ33HBDPPHEE/n9TZ48ORZYYIFYfPHFY6ONNordd989jw0AAAAAAAAAAMCcKypOSbxa9Je//CUHy5555pnc1vfoo4+Os846KxqKhx9+OPbYY48YN25cpef79euXg4ApvDanZsyYkUN9119/fZXX7L///nHNNdfkUGR1Ib1UITEFBiuTgoqpfXIaqzqvvvpqDvb98MMPlZ7v2bNnDgKuttpq1Y6TfnROOeWU+Mc//pGDiFW5+OKL8/e9Jn377bfRu3fvvJ9Chr169arR8QEAAGi8vhw5IR58+/syx+Zt0zIOXr9vva0JAAAAAIDa920zyBRVnS6rAR9++GFccMEFccwxx+RKdscee2z+OlWmawjeeuut2HXXXXPYr3379nH22WfHSy+9FE8//XQccMAB+ZpPP/00ttpqqxg/fvxchR4LYb8VV1wx7rjjjhg6dGj+TF8nqWpfCs9VJbU93n777UvCfjvssEOuGJjCeylQ2aNHj5gyZUocdNBB+XhV0g/y1ltvncN+rVq1ihNOOCFeeOGFvKX9dGz48OH5mvQHoDopxPj3v/89h/1WXnnluOKKK/I4b775Zjz++OPxt7/9LX73u99V2uIZAAAAaov2vQAAAAAANFW1WuFvvfXWi88//zxvqS3upEmTYokllsjbc889V1vTztb6XnzxxRxyS0G1Nddcs8z5888/P4fgkr/+9a9x+umnz/YcKTCY2uymUNwqq6yS5ynd0ji9k/XXXz9ef/31vI7UHreyaoKpZe5+++2X9w899NAcristveMUukvhxXR/GieNV95ee+0Vt9xyS96/++67Y+eddy5zPh1LIchkwIABMXDgwEqfq/R6Tj755Fy1sapg39SpU6NNmzZRk5pDGhcAAIA588XICfGQCn8AAAAAAM3Ot80gU1RrFf5ScGzw4ME5JJfCfkn6POOMM3LoLZ2vT6nCXgr7JSm4Vj7sl6SKhEsvvXTe/+c//xm//vrrbM9zySWXlLS7veyyy8qE/QrvJB1P0nWp/W1lUmXEpGvXrjmIWF4K+Z100kkl4b/777+/wjWpqt9tt92W9zfbbLMKYb9kl112yeeSFAysrO1vqnZ43HHH5f1U/TBVRqyuil9Nh/0AAABgdtXeP3cEAAAAAIAmEPjbaaedcnW4QmvcghSuS8d33HHHqE8PPPBAyf4+++xT6TUtWrTIFfGSMWPGxLPPPjtbc6TiiQ8++GDeX2qppWKNNdao9Lp0fMkll8z76fryRRdTlcBUsa8QyCsEKMvbe++9S/YrC/w99NBDMWPGjGqfufQ46dp0T3kpNDh69OiSdsUAAAAAAAAAAAA0wsDfO++8UyYsV77yW/o6HW/ZsmXUp1R9MJlvvvlyK9yqpHa7BUOGDJmtOb766qv4/vvvK4xT3TzfffddDBs2rNK1zmycBRdcMPr161flWmd1nJk986BBg/Ln/PPPX6Yy4ogRI3J1wdRWGAAAAAAAAAAAgAYe+FtxxRVjhRVWiIsuuqjSdrANRaFiXmqF26pVqyqvS5X5yt8zqz788MNKx5ndeeZknNSDeuLEiZWO06lTpxwOrErPnj2jY8eOla4lVf177bXX8v7yyy+fqxGmlsSLLbZYLLDAArHEEkvk8dPPwPXXX19SUXBO+mlXtw0fPnyOxgUAAAAAAAAAAGisaqWl73vvvRfHH398LLzwwrHFFlvEnXfeGZMnT46GIq1l1KhReb9Xr17VXtulS5dcBbAQopsdKZhWMLN5evfuXbJffp45GScF8UrfV3qcmY1Repzya0lfjx8/Pu937do1t2Y+8sgjczXD8pUe999//9hhhx1i6tSpM52vsvmr21ZbbbXZHhMAAIDmqziK63sJAAAAAADQ8AJ//fv3j7Zt2+bA2bRp0+LJJ5+MP/7xj7miXAqAPf/881HfCoG1pH379jO9vhD4mzBhQq3NU5ijsnlqepy5eeaff/65ZP/RRx+N+++/P7cRfuihh3Ir3zTHI488UlJp8MEHH4w///nPM50PAAAAAAAAAACAOg783X777fHjjz/GjTfeGBtttFEUFRXl8F8KgxWOLbroonHaaafFp59+GvWhdLXBNm3azPT6eeaZJ3/+8ssvtTZPYY7K5qnpcebmmUu3CU7jpSDn4MGDY+utt44OHTrkMOFWW20VL774Yiy00EL5ussvv7xCtcGZSZUEq9uGDh06W+MBAAAAAAAAAAA0drXS0jeFvgYMGBBPPfVUfP3113HOOefEsssum4N/aUvHzj777Fh66aVjjTXWiKuuuipGjx4ddSVVICyYlXazU6ZMyZ/zzjtvrc1TmKOyeWp6nLl55tJrSU444YTo3r17hfvnn3/+OPnkk/P+r7/+Gvfdd1/MjtR2uLqtZ8+eszUeAAAAzUex7r0AAAAAADRRtRL4K+03v/lNnHjiifHee+/Fm2++GUcffXSuClcI/7322mtx+OGH5wDXDjvsEA888EBuBVybUiW6gllp01uoajcrrXDndJ7SlfPKz1PT48zNM5deS7LppptWOcZmm21Wsp++zwAAAAAAAAAAADTgwF9pK6ywQlx00UW5vetjjz0Wu+++e64gl4J/qercgw8+GDvuuGMO/x1xxBG11rY1Vanr1q1b3p9Zq9lUebAQfuvdu/dszZMq0RXMbJ7Uprag/DxzMk5qpVz6vtLjzEp73cI4la0ljV3VWksrfW7kyJEznRMAAABqi6p/AAAAAAA0BS3qZdIWLXL1t1tvvTV+/PHHGDhwYGy88cY5SJbCfz/99FNceeWVseaaa+a2v7VhmWWWyZ+ff/55tRUFP/7445L92V1LYY7y48zuPHMyTgrbzTfffJWOM3bs2Pjhhx+qHGP48OExbty4SteSxlxkkUVKvp4+fXqV45Q+16pVq2rXDQAAAAAAAAAAQAMM/JUPkO21117xn//8J/773//GeeedF4svvnhJy99PP/20VuZdZ5118meq3vfGG29Ued3zzz9fsr/22mvP1hyLLrpoLLTQQhXGqcwLL7xQ0gK5T58+la51ZuOkEF/hfVW21lkdZ2bPvN5665Xsf/nll1WO88UXX5Tsp+cCAAAAAAAAAACgEQf+ClKVvddffz238U3Bv9JtY2vDdtttV7J/4403VnrNjBkz4uabb877nTt3jg033HC25kjPsO2225ZU3nvllVcqvS4dL1TmS9eXf/Z+/fqVVNq7++67Y9KkSZWOkyolFmy//fYVzm+zzTa5umJ1z1x6nHRtuqe81Ha54P77769ynPvuu69kf911163yOgAAAAAAAAAAABpB4C+F3Q477LDo2bNnDqmlkNjUqVNzdb/27dvHgAEDamXe1VZbrSSEdv3118fLL79c4ZoLL7wwPvroo7x/1FFHRevWrcucf+6553I4L2177713pfMcffTR0bJly7x/xBFHxC+//FLmfPo6HS+0vU3XV+a4447Lnz///HOccMIJlVbTO+ecc/J+qpBYWeBvwQUXjD/+8Y95/4knnoh77rmnwjWDBg3K55I999wz31PeH/7wh1huueXy/iWXXBIffPBBhWvSe7vgggvyfvfu3WOHHXao9LkAAAAAAAAAAACYNa2iHqQ2sLfcckvcdtttJW1fU8CvUFVuk002yW1+U0hs3nnnrbV1/POf/8wta1PobtNNN42TTz45V/FLX995551x7bXXllTYO/bYY+dojnTv8ccfH+eee26uYJjmO/HEE6Nv37752VML47feeitfm65bYoklKh0nBR9vuOGGGDJkSFxxxRW5fe8BBxwQXbp0yVURzzzzzBg3blx+f5deemkOD1bm7LPPjscffzxGjhwZu+22W15TCvAljzzySA45FkJ6Z511VqVjpDmuuuqq2HjjjXNL5NQqOIUQCxUQU3vi9LwTJkzIX1922WXRrl27OXp/AAAAAAAAAAAA/E9RcSFpV8tGjx6dQ3S33nprmda2hemXXXbZHPLbY489crW/uvLwww/nOVNYrqrA3qOPPpqr5pWXKvwVQm4pkFe6pW751sApnJcCe1XZb7/9csCw0HK3MqNGjYott9wyXnvttUrPzzPPPHH55ZfH/vvvH9V59dVXc0vjFBqsTKrq98ADD8Tqq69e7Tj33ntv7LPPPjF+/PhKz6eKiCl8ePDBB0dN+/bbb6N37955/5tvvolevXrV+BwAAAA0Tp+PmBAPv/N9mWNtWrWIwzas+N/2AAAAAAA0Hd82g0xRrVb4+/XXX3OgLlXze+yxx/LXpUN+PXr0yFXmUtBvxRVXjPqw9dZbx7vvvpur/aVgX/qmt2nTJgf8dt555zj88MPnujpdCvGltsE77rhjDvWlwF4K780///yx6qqrxkEHHRRbbLHFTMdJ17/00ktx3XXXxe23357b5qYKewsttFCutpfaDqfg5MykIN97772XnzkF+4YNG5aPL7roorHtttvmtsLdunWb6TjpedL6UwW/9O7SH5IUbkx/aFKVxjROZUFJAAAAqF118m8bAQAAAACgaVT4Gzx4cA75DRo0KMaOHZuPFaZJVehSyC5VxNt8882jZcuWNT09zUBzSOMCAAAwZz4fMT4efmd4mWMq/AEAAAAANH3fNoNMUY1X+FtsscXi66+/zvuls4RrrbVWruS36667RqdOnWp6WgAAAAAAAAAAAGjSajzwV2gPW2gRu+eee+agXwoCAgAAANSHWmhwAAAAAAAAjT/wl6r37bzzzjnkt84669T08AAAAAAAAAAAANAs1Xjg74cffoh55pmnpocFAAAAAAAAAACAZq1FTQ8o7AcAAAAAAAAAAAANPPD3xhtvRG365Zdf4uOPP67VOQAAAICmp7i4vlcAAAAAAAANLPC32mqrxTbbbBOvv/56TQ4bkyZNin/84x+x6KKLxt13312jYwMAAAAAAAAAAECzC/x16tQpHnnkkVh99dVjvfXWi+uuuy5Gjx49x+MNHjw4Dj300Fh44YXjpJNOihEjRkS3bt1qcskAAABAE6OaHwAAAAAATVWrmhzs888/j1NPPTX+9a9/5bDekCFD4ogjjogNNtgg1lhjjVh11VVjxRVXjB49ekSrVmWnHjduXHz66afx2muvxdChQ+PZZ5+Nb775Jp8rLi6OlVdeOc4777zYaKONanLJAAAAAAAAAAAA0PwCf127do0rrrgiTjzxxDj33HPjlltuiYkTJ8aTTz4Z//nPf8pc265du+jSpUv88ssvMWbMmJgxY0aZ8ynkl6y55ppx9NFHx84771yTSwUAAAAAAAAAAIDm29K3ILXgvfLKK+Pbb7+Nq666KjbccMNo06ZNDvEVthQETOd/+umnmD59eplz6f4jjzwy3nvvvVwlUNgPAAAAmBu6/AIAAAAA0BTUaIW/8jp16hQHHXRQ3qZOnZrb9b700ks56Ddy5Mj4+eefo23bttG9e/e8Lb/88rHuuutGr169anNZAAAAAAAAAAAA0OjUauCvtFThb+21184bAAAAAAAAAAAA0ABa+gIAAAAAAAAAAAA1S+APAAAAAAAAAAAAGgGBPwAAAKDJKy6u7xUAAAAAAMDcE/gDAAAAmhTZPgAAAAAAmiqBPwAAAAAAAAAAAGgEBP4AAAAAAAAAAACgERD4AwAAAAAAAAAAgEZA4A8AAABo8oqjuL6XAAAAAAAAc03gDwAAAAAAAAAAABoBgT8AAAAAAAAAAABoBAT+AAAAAAAAAAAAoBEQ+AMAAACavOLi+l4BAAAAAADMvVZRx95555148cUX48svv4zx48fH9OnTq72+qKgorr/++jpbHwAAANC4CfcBAAAAANBU1Vng76OPPor99tsvXn311Vm+p7i4WOAPAAAAAAAAAAAA6irwl6r5rbPOOjFmzJgc4ks6dOgQnTt3jhYtdBWmgZj0c8RnT0ZMnRjRZ52I7kvW94oAAAAAAAAAAADqNvB32mmnxejRo3O477jjjotDDjkk+vTpUxdTw6z7/KmIn7/63/6HD0asdWRE67b1vSoAAAAAAAAAAIC6C/w99dRTuTXv0UcfHeedd15dTAmz76cv/m9/xvSI4e9ELLx6fa4IAACAGpS6DqS/nwAAAAAAgMaqTvrpjhs3Ln/uuOOOdTEd1IwZv9b3CgAAAAAAAAAAAOo28Ne7d+/82apVnRQUBAAAAAAAAAAAgCanTgJ/m222Wf4cOnRoXUwHAAAAAAAAAAAATU6dBP6OPfbY6NChQ5x//vnx888/18WUAAAAAAAAAAAA0KTUSeBvkUUWifvuuy+H/dZaa634z3/+UxfTAgAAAM1QcRRXfrzywwAAAAAA0Gi0qquJNtpoo3jrrbdy4G/zzTePLl26xOKLLx7t2rWr9r6ioqJ4+umn62qZAAAAAAAAAAAA0LwDfy+99FLsueeeMWrUqCguLs7V/oYOHVpt0C9dlz4BAAAAAAAAAACguauTwN+HH34Ym222WUyaNCmH+Nq2bRtLLLFEdO7cOVq0qJOuwgAAAAAAAAAAANCo1Ung74wzzoiJEyfGPPPMExdeeGHsu+++OfQHAAAAAAAAAAAANKDA35AhQ3Jr3pNPPjkOPfTQupgSAAAAoIzi+l4AAAAAAADMpTrppzt69Oj8ufnmm9fFdAAAAAAAAAAAANDk1Engr1evXvlz+vTpdTEdAAAAAAAAAAAANDl1Evjbeuut8+cLL7xQF9MBAAAAAAAAAABAk1Mngb/jjz8+evToEeeff34MGzasLqYEAAAAmqni4qqOV3ECAAAAAAAaiToJ/C2wwALxxBNPRMeOHWP11VeP6667LsaMGVMXUwMAAAAAAAAAAECT0KouJllsscXy56RJk2LkyJFx8MEHxyGHHBLzzz9/tGvXrtp7i4qK4osvvqiLZQIAAAAAAAAAAEDzDvyVb+ObWuikbcSIETO9NwX+AAAAAAAAAKChGztlbIycNDIWmG+B6NCmQ30vBwBoguok8LfXXnsJ7gEAAAAAAADQZI2YNCIe/PzB+HXGr9GmZZvYaYmdonPbzvW9LACgiamTwN/AgQPrYhoAAACAKhXX9wIAAABo0oZ8NySH/ZKp06fGKz+8Epv32by+lwUANDF1Evh74YUX8mfPnj1jiSWWqIspAQAAAAAAAKDODJ84vMzXX475st7WAgA0XS3qYpINNtggNtxwwxgyZEhdTAcAAAAAAAAAAABNTp0E/tq3b58/l19++bqYDgAAAGjGivXuBQAAAACgiaqTwN/CCy+cPydNmlQX0wEAAAAAAAAAAECTUyeBv6222ip/PvXUU3UxHQAAAEAFKv8BAAAAANDY1Ung75hjjomuXbvGJZdcEu+//35dTAkAAAAAAAAAAABNSp0E/hZccMF45JFHokOHDrH22mvH3//+9xg2bFhdTA0AAAAAAAAAAABNQqu6mGSxxRbLn1OnTo3x48fHqaeemrf27dtH586do2XLllXeW1RUFF988UVdLBMAAAAAAAAAAACad+CvfDW/4uLi/JnCf2mrTgr8AQAAAMyt4vjf30cAAAAAAEBjVSeBvwEDBtTFNAAAAAAAAAAAANBk1Ung78Ybb6yLaQAAAADmqJJf6kbwwffjYtSEKbF0z46xQMe2tbI2AAAAAACYGy3m6m4AAACAJuCtb8bEfz78Md7675i4c+g3MfaXX+t7SQAAAAAAUIHAHwAAANDsPf/JyJL9GcXF8cqXP9XregAAAAAAoN5a+lbmxx9/jPfffz9+/vnn/HXXrl1jueWWiwUWWKC+lgQAAAA0YcWz0en3x3GTa3MpAAAAAADQ8AN/xcXFce2118bll18eH374YaXXLLPMMnHEEUfEAQccEEVFRXW5PAAAAIDM30gAAAAAANCsW/qOHj061ltvvTj00ENz2C+F/yrb0rlDDjkkXztmzJi6Wh4AAAAAAAAAAAA0aHVS4S8F+bbddtsYMmRI/rpbt26xyy67xOqrrx4LLrhgPvbDDz/E0KFD4+67745Ro0bFSy+9lO95/vnn62KJMHe9ngAAAGhadB0AAAAAAKC5Bv5uv/32GDx4cG7Ru/vuu8eVV14ZHTp0qHDdXnvtFeeee24cdthhccstt+R77rjjjthtt93qYpkAAABAE+DfbwEAAAAA0FS1qKvAX7L++uvnIF9lYb+C9u3bx0033ZSvTZUBb7311rpYIgAAAAAAAAAAADRodRL4e/PNN3N1v8MPP3yW7zniiCPy51tvvVWLKwMAAACoSENfAAAAAACabeDv559/zp+LLrroLN9TuLZwL9S5Iv/zDgAAAAAAADDnJv06qb6XAAA0MXUS+OvUqVP+/P7772f5nuHDh+fPjh071tq6AAAAAAAAAKC2vD3y7fpeAgDQxNRJ4G+55ZbLnzfeeOMs31O4tnAvAAAAAAAAADQmX4/7ur6XAAA0MXUS+Ntpp52iuLg47r///jj99NPzfnXOPPPMuPfee6OoqCh23nnnulgiAAAA0MTN5K8jyigqqs2VAAAAAADAnGkVdeCAAw6Iyy67LD755JMc5rvvvvti7733jtVXXz169OiRg30//vhjvPrqq3HTTTfF+++/n+9baqml8r0AAAAAAAAAAADQ3NVJ4K9169bx2GOPxcYbbxxfffVVfPDBB3H88cdXeX2qALjYYovle1q1qpMlwtyVfgAAAAAAAAAAAGgKLX2TPn36xLvvvhvHHntsdOrUKYf6KtvSueOOOy7efvvtWHjhhetqeQAAAAAAAAAAANCg1Wn5vPnmmy/OP//8OPvss+ONN97IrXt//vnnfK5r166x3HLLxcorrxxt2rSpy2UBAAAAzUBxqOQOAAAAAEDjVqOBvz/96U/5889//nP06NGjyutSoG/NNdfMGwAAAAAAAAAAAFDHLX0vueSS+Oc//xmjRo0qc3zRRReNvn37xueff16T0wEAAAAAAAAAAECzUSctfb/++usoKiqKqVOn1sV0AAAAQDNWXAOde6fP0P4XAAAAAIAmXuGvXbt2+bN8hT8AAACAxuSnCf7RIgAAAAAATTzwt/jii+fPm2++OYpr4p/TAwAAANQQf1UBAAAAAEBjV6Mtfbfffvt4991348Ybb4zHHnssFltssWjdunXJ+X322Sfmm2++2RoztQJ++umna3KZAAAAAAAAAAAA0LwDfyeeeGI8+eST8fLLL8fw4cPzVpAq/r322muzFfRL96RPAAAAAAAAAAAAaO5qNPDXtm3beP7552PQoEHx1FNPxXfffRdTpkzJx1Jwb+WVV57tCn8AAAAAAAAAAABADQf+8oCtWsVuu+2Wt4IWLVrkz4EDB8YyyyxT01MCAAAAlCiO4vpeAgAAAAAA1Ir/JfEAAAAAmjgxQAAAAAAAGrsar/BXma+++ip//uY3v6mL6QAAAAAAAAAAAKDJqZPA3yKLLFIX0wAAAAAAAAAAAECTVWctfSdNmpS3qlx22WWx7rrrxtJLLx1bbrllPPzww3W1NAAAAAAAAAAAAGjw6iTwl8J7HTp0iJ49e8b48eMrnN93333j6KOPjpdeeik++eSTeOKJJ2K77baLc845py6WBwAAAAAAAAAAAA1enQT+UoCvuLg4ttlmmxz8K23w4MExcODAvN+uXbtYccUVo23btvn60047Ld5///26WCIAAADQxKW/awAAAAAAgMasTgJ/r7zyShQVFcWGG25Y4dy1116bPxdaaKH46KOP4o033oiPP/44evfuHTNmzIhrrrmmLpYIAAAANBFyfQAAAAAANFV1EvgbMWJE/lxyySUrnHv88cdzGPCII46IXr165WMp7Je+Tv/y/vnnn6+LJQIAAAAAAAAAAECDVieBv5EjR+bP8u18P/jggxg1alTe33bbbcucW2WVVfLn119/XRdLBAAAAAAAAAAAgAatTgJ/LVu2zJ8///xzmeODBw/On927d69Q/a9Lly75c/LkyXWxRAAAAKCJm51Ovx3atqrFlQAAAAAAQAMO/P3mN7/Jn2+//XaZ448++mhu57vuuutWuGfs2LH5c/7556+LJQIAAAAAAAAAAECDVieBvxToKy4ujssvv7ykhe9rr70Wjz/+eN7fbLPNKtzz0Ucf5c8FF1ywLpYIAAAAAAAAAAAADVqdBP4OPfTQaNGiRXz11Vex2GKLxSqrrBLrr79+TJs2Lbfu3XXXXSvc88wzz+Tqf8sss0xdLBEAAABohq17q5L+TgIAAABm1bQZ0+p7CQBAM1Engb+VVlopzj///PyX5RMmTIg333wzJk+eHK1bt47rrrsuOnToUKGdb2r3m2ywwQZ1sUQAAAAAAAAAmCPTi6dXfnzG9Ph1+q91vh4AoOlqVVcTHXPMMbHJJpvEPffcEz/88EP07Nkzdtttt1hyySUrXPvcc8/Fqquumvf/8Ic/1NUSAQAAgCasuCZK/wEAAMBsGDd1XPzrvX/FKguuEqsu+L//DbymjJ86PoqjODq26Vij4wIADVudBf6S5ZdfPm8zs+222+YNAAAAAAAAABqzFMp77YfXYpluy8R8reerkTHfHvF2vPz9y3nsFCSs6TAhANDMW/oCAAAAAAAAQHP25Zgva2ScaTOmxUvfv5TDfkkKE06ZPqVGxgYAGj6BPwAAAIByiup7AQAAADQqRXX4X5K/TPulwrHRk0fX2fwAQDNq6ZvMmDEjPvzww/jyyy9j/PjxMX369Jnes9dee9XJ2gAAAIDGr7j4fxUOAAAAAACgqamzwN8vv/wSZ511Vlx33XXx008/zfJ9RUVFAn8AAADA3JMDBAAAAACgkWtVV2G/jTbaKIYOHepf2dPwpJ/J79+q71UAAAAAAAAAAADUf+Dv4osvjldffTXvL7fccnH44YfHyiuvHF27do0WLVrUxRKgat+9GfHZk/W9CgAAAAAAAAAAgPoP/N111135c6211opnnnkm2rRpUxfTwqwR9gMAAKCcoqL6XgEAAAAAAFRUJ+X1vvjiiygqKooTTjhB2A8AAAAAAAAAAAAaauCvEPJbeOGF62I6AAAAgAqKo7i+lwAAAEATVRQzLxWfiuTU1VwAQNNVJ4G/pZZaKn/+8MMPdTEdAAAA0IyJ9QEAAFDX/CMzAKBJBf723nvvKC4ujkGDBtXFdAAAAAAAAAAAANDk1Eng74ADDoiNNtoobr755rjjjjvqYkoAAACAOaY5EgAAAA21za5qggDQvLWqi0m++eabuOyyy3Lwb4899oj7778/dt9999zqt127djO9f+GFF66LZQIAAABNWLH/PQQAAIB6lLriAQA0isBfnz59oqioqOT/ibn33nvzNivSfdOmTavlFQIAAAAAAAAAAEDDVieBv/L/WsG/XAAAAAAAAACAht0+GABopoG/G2+8sS6mAQAAANC6FwAAgAap0BUPAKDBB/4GDBhQF9MAAAAA1Aj/IwwAAAAAAA1Ri/peADRcSkIAAAA0h//KK1YSEAAAAACARqJOKvwBAAAANDRv/Xd0vPjZqGjVUjU/AAAA5pL/tAQA6ojAHwAAANDsTP51erzw6aiYUVwc02eo8AcAAAAAQONQ54G/8ePHx1NPPRXvvPNOjBo1Kn755ZdqW+cUFRXF9ddfX6drBAAAAJq2L0dOzGG/qhSpzAAAAAAAQHMO/M2YMSPOPPPMuPDCC2PixImzdE8KAgr8UX/+H3v3AR/HXeZ//FGx3Htvie3E6RVSCKkktPSEC3CBHIHQ7g4IdwcHB3+Ooxx3B3fUBAiQkAQISRwncew4cey4yN2Wi1xkFav3XlbSarv+r98oK6ustG122n7efu1rZ3dnZ35btN6d+c7zsHcHAAAAAAAAAAAAgEioPyRHm49KTXeNLJ22VN698N2SmZFp9rAAAEAaMizw9+lPf1qee+45LcSXlZUlc+fOlebmZi3Qt2zZMuno6JCenh5tXnXdvHnzZMqUKUYNDwAAAAAAOEbkyn1DOwxQwQ8AAAAAEI/yznI50HBAm67vqZcZOTPk/Dnnmz0sAACQhgw55OCtt96Sv/zlL4PBPxX0U219w6qqqsTlcklhYaE8+uijkpmZKbNnz5Y333xTKioqjBgiAAAAAAAAAAAAAAARbanaMuzy1uqtpo0FAACkN0MCf08//bR2fvHFF8sf//hHLcynqviNdP7558svfvELeeWVV6SsrEzuuOMO6erqMmKIAAAAAAAAAAAAAABE1D9GNXkAAABHBv7279+vBfy+9KUvxTT/3XffLQ8//LBW+e9Xv/pVyscHAAAAAADSS7SWvnT8BQAAAAAAAACkbeBPtfBVzjvvvMHrsrKyBqe9Xu+o+zzwwAPS398vr776qhFDBCLgKB0AAAAAAAAAAAAAAAAAaRb4C5szZ87g9PTp00cFAodasGCBdl5ZWWnQ6AAAAAAAgJNxWBcAAAAAAAAAwO4MCfwtXLhQO29vbx92XU5OjjZ9/PjxUfdR7XwVj8djxBABAAAAAIBD9MeQ7MugaS8AAAAAAAAAwIYMCfxdeuml2vmpU6cGr8vOzpYrr7xSm3766adH3ee3v/2tdn722WcbMUQAAAAAAJBG+qn3BwAAAAAAAACwIUMCf7fccov09/fL22+/Pez6hx56SLv+1VdflYcfflg2btwoa9askTvvvFObNyMjQ+69914jhggAAAAAANJItycw/gwZVAAEAAAAAAAAAKRp4O/+++/Xzjdt2iRNTU2D13/xi1+Ud73rXVro7y9/+Yvcc8898uCDD2rzKWeddZZ885vfNGKIAAAAAAAgjVr9xtL2FwAAAAAAAACAtAz8rVy5UsrLy+XkyZMyY8aMYW19t2zZIp/85Ce1aRX8UydFVfnbtWuXzJ49O+Xjq6qqkq997WtywQUXyNSpU2XOnDly9dVXy//+7/+K2+3WbT1vvvmmFn5ctmyZTJw4UTtXl9X1sQoEAvLEE0/IjTfeKPPnz5fJkyfLOeeco4UnCwoKYl5Oa2urfPe735XLLrtMe03USU2r69ra2hJ8hCIf//jHtcqM4VNlZWXCywIAAAAAIFUaXR6zhwAAAAAAQEoUthXKH0/+UZ4rfE4aehrMHg4AANBZthhkxYoVEa9Xgb4///nP8pvf/EZOnz6tBdrOPfdcLXRnhA0bNmithV0u1+B1KuR36NAh7fTkk09qrYbVmBIVCoXkC1/4gjz11FPDrq+rq9NO69atk8997nPyu9/9TjIzM8cN6d1xxx2Sl5c37HoVpvz9738vzz77rDz++OPassZz4MABue+++6SxsXHY9SdOnNBO6jGrMV1zzTVxPc7XX39da8kMAAAAAIDVlTX3mD0EAAAAAAB05wv6ZGftTgn2B8UT8Mju+t3y0fM+avawAACA3Sr8xWL69Olae18VMjMq7Hf06FGtIp0K+02bNk1+9KMfyd69e2Xr1q3y+c9/XpunpKREqzbY3d2d8Hr+3//7f4NhvyuvvFKef/55OXjwoHauLisqZPed73xnzGUEg0GtGmA47PeRj3xEqwyownu/+tWvZMGCBeL1erVKf+NVDKypqZG7775bC/upqorf+MY3ZOfOndpJTavrGhoatHlqa2tjfow9PT3ypS99SZtWY3GGDLMHAAAAAAAAAAAAAACDyrvKtcp9YyntLNXCfmEt7haDRgYAABxV4U9VrVOn//qv/9JCZVbx1a9+Vfr6+rSQ2+bNm+W6664bvO3WW2+V1atXa+NVob+f/vSn8r3vfS/udaj7/t///Z82fdVVV2nBOtWGV1Ftg++55x65+eabtWqCqoXwI488ErGaoKret3v3bm36H//xH+XXv/714G0qJHn77bfLu9/9bi28+Oijj0phYaH2uCKFD1taBr7U/fWvf5WPfvTM0RyqTbBahgpBNjc3awHEZ555JqbHqeatrq6W2267TWtVrMZrfwPtpQEAAAAAzvg119/fLw1dfTIlJ/rmEA4BAwAAAABYbddiMBSUbdXbhgX6Rg+DfZwAADidIRX+cnJytI3qKlBmFarC3q5du7Tpz372s8PCfmFf+9rX5MILL9Smf/nLX4rf7497Pb/4xS+0NsXKY489Nhj2C5syZYp2vaLm+/nPfx5xOeHQoKp+qIKBI6mQ4Le+9S1turS0VF599dVR86iqfs89N3C0x4c+9KFhYb+wj33sY9ptimq1PLLtbyQqrKgew8SJE7XWzAAAAAAAWNErR+vkhYM18uzeSrOHAgAAAACwOH/QL7k1ubK2ZK3kN+eLFdT21GotewEAQHozJPC3ZMkS7TxSxTmzrFu3bnD6M5/5TMR5VFXCT33qU9p0Z2enbN++Pa51qJDja6+9pk1fcMEF8p73vCfifOr6888/X5tW86v7jawSqCr2hQN5KiQYyac//enB6UiBv/Xr10soFBr3MQ9djppX3Wc8KqSo2h+ref/t3/5NzjvvvHHnBwAAAADALH2+gQoIwRDVDgAAAAAA4zveelwK2gqk2d0se+v3ihWE+gf29QIAgPRmSODvpptu0s4PHz4sVhFujzt16lStje1YVLvdsD179sS1joqKCqmvrx+1nPHWU1dXJ5WVlRHHGm05ixYtGgzcRRprrMuJ5zH/7Gc/k/z8fK39cbjCIAAAAAAAAAAAAADY2YGGA2YPAQAAwLzA31e+8hXJysrS2tK6XC4jVhlVuGKeaoU7XuVBVZlv5H1iderUqYjLiXc9iSynpqZGent7Iy5n5syZWjhwLIsXL5YZM2ZEHMvIQOP3v/99bVq18lUtfQEAAAAAAAAAAAAA+qvprjF7CAAAIF0Cf6qC3mOPPSZVVVVa9bi9e80teezxeKS1tVWbXrZs2bjzzp49W6sCGA7RxaO2tnZwOtp6li9fPjg9cj2JLEe1BR56v6HLibaMocsZ7zH//d//vbjdbnnwwQfl/e9/v+hJjXW8U0NDg67rAwAAAABgqIwMs0cAAAAAAEgHvqBPNldulqdPPi1vV70t/qB/zHnreuoMHRsAALCmsUvb6eiRRx7Rzs8//3w5duyY3HjjjVqg7LLLLtMCdar631gyMjLkqaee0nU83d3dg9PTpk2LOr8K/KlqeT09PSlbTzhUqIxcj97LifUxR1pG2F/+8hfZvHmzVi3w5z//uehtaAASAAAAAIB49PebPQIAAAAAAGJT0lEipZ2lg9NLpy2VC+deaPawAABAOgX+Vq5cKZmZmfLWW29p7XKVZ555RgvuKepcVZ+rrq6OWjFPzZeKwJ+q8BeWk5MTdf5wq9q+vr6UrWdoO9yR69F7Ock+5ra2NvmXf/kXbfq//uu/ZOHChVGXlzZCQRFXncjE6SKTZ5s9GgAAAAAAAAAAAAAWtrN257DL22u2jxn4yxDK0QMAgBQE/lTbXhXS8/l8g9edddZZg4E/K5g0adLg9NBxjsXr9WrnkydPTtl6wuuItJ6Ryxl6Od7lqBa8yT7mr33ta9LS0iLXXHON1tY3FaKFQVVLX7V+y4X9jvxJpLtRJDNb5OL7ROatNntUAAAAAIAEuPoCZg8BAAAAAGAjwf6g2UMA0k5Re5Ecbzku03Omy03LbpKpE850RAQAJzOkpW9lZaVYyfTp0wenY2nTq9r5xtoKN9H1hNcRaT0jlzNe4C/aclTgL5nHvG3bNnn22We1NsxPPPGEVs0xFZYtWya203xqIOynhAIihRtEbhyohAgAAAAAsBePnx01AAAAAIDYlXeVR52HCn1wisquSjnRekIL2l235DqZmHWmE6FRun3dsq16mzbd2tcqOVk5cttZtxk+DgBwbODPalRgbu7cuVpr2tra2nHn7ejoGAy/LV++POHQWrT1DK1oN3I9I5czb968qMtRFRVHhubU5aampqhjGbqckWP58Y9/rJ1fddVVUlxcrJ1GqqioGJzesGGDzJ8/X5v+27/9W3G0plPDLwfOVFsEAAAAAAAAAAAA4Fy+YPQua4AT9Pp75c2KN6Vf+gevu2X5LYaP40jTkWGXi9uLCfwBSBtpGfhTLrroItm1a5eUlpZKIBCQ7OzIT0VRUdHg9IUXXhj3OiItJ971jFzOFVdcEXU5Kqg3derUUcs5fPiwdHV1SWNjoyxatGjMdrkulyviWMKtfg8cOCAPPvigRPPoo48OTjs+8AcAAAAAAAAAAAAAgIOpoN3QsN+ptlOmBP68QQrwAEhfqenHagM33HCDdq6q96kQ3Fhyc3MHp6+//vq41rFy5UpZsmTJqOVEsnPnTu186dKlsmLFiohjjbYcFeIrKSkZc6yxLieZxwwAAAAAgFm6PX55/Xi97CltNXsoAAAAAAAYrrCtUHJrxt8vDSTLHXCbPQQASHtpG/i77777BqeffvrpiPOEQiH505/+pE3PmjVL3ve+98W1DtVW99577x2svLd///6I86nrw5X51PzqfkOdd955g5X21qxZI2535P9An3nmmcHp+++/f9Tt99xzj2RmZo77mIcuR82r7jPUjh07pL+/f9zTww8/PKy9b/h6AAAAAABSaVtRs5xu6jF7GAAAAAAARDS0Kloq2qzuqNmRsuUDAIA0aOn7ne98RwvJJUuF35566inR2zXXXCM33nij1tZXLV+F1K677rph8/z0pz+VwsJCbfqrX/2qTJgwYVT4LRwCVPcfGrgL+6d/+if5/e9/L8FgUL7yla9olfwmT548eHtfX592vaLaCqv5I/n6178un/3sZ6W9vV2+8Y1vyOOPPz7s9rKyMvnv//5vbfrcc8+NGPhTLXw/+clPyp///Gd56623ZO3atfLAAw8Mm+ell17SblP+7u/+bsy2v4hgRFATAAAAAGCs8pZeXZenDl4beVAeAAAAAABWdKzlWEoDhQAAIA0Cf6+99ppuy0pF4E/55S9/qbWsVaG7D37wg/Ltb39bC/Cpyy+88IIW1AtX2Pva176W0DrUff/1X/9V/ud//kcOHTqkre+b3/ymnHPOOVpI78c//rEcPXpUm1fNt3r16ojLUYHCP/7xj7Jnzx759a9/rbXv/fznPy+zZ8+WgwcPyg9/+ENxuVxaVb5f/epXWngwkh/96EeyadMmaWlpkQcffFAb01133aXd9vrrr2shR2X+/Pnyn//5n+I4ndUip9aLBDwiq94nsuzdZo8IAAAAAGBRvb6gTJuYsk0nAAAAAADoJhAKmD0EAABgkJRttdarhWsqj6S/8sor5cUXX5SHHnpIC8upwF+kwN7GjRtl+vTpCa9Hheyam5u1wJ4K9/3t3/7tqHlU9b7xAnZZWVmybt06ueOOOyQvL09efvll7TTUxIkTtcp/t99++5jLWb58uWzYsEFraaxCgypwqE5Dqap+al3Lli0TxynbJuLtHpgufVtk4UVmjwgAAAAAYFF6bdsAAAAAAEDJkMT2fRe3F8vBxoPS7XtnPycAAEhrKQv8bd68ecxqdVZy9913y/Hjx7VqfyrYV1tbKzk5OVpb3I9+9KPy5S9/WaZMmZLUOlTVPVWl8G/+5m+0qoEqsNfa2irz5s2Tq6++Wr74xS+OG9ILU/Pv3btX/vCHP8hf//pXrd1wb2+vLFmyRG677Tat7fDFF18cdTnXXnutnDhxQnvMKthXWVmpXb9y5Uq59957tbbCc+fOFUdyNZyZ7g+JNBWYORoAAAAAgIXRzhcAAAAAkCr+oF9qumuizucJeGRbzTYOSoOtBUNB2Vq9VRp7G+XOVXfK3MnJ5xFoYQ0gnaUs8KdCaGeffbbYgRrnz372M+0Uj1tuuSWuL1aqOp86JUO16v2Hf/gH7ZQMFR5UbYDVSW/PPPOMdgIAAAAAAAAAAAAAjA4/rT29Vjo8HVHnLWovIuwH23vq5FODbadfLH5RHrnkEZmUPSnl61VVMQ82HNSmr158tczImZHydQKAETINWQtgR60lZo8AAAAAAAAAAAAAgMOc7jwdU9hPCamuZTFo7WtNclRA6oTDfmEbyjcY0iL7zYo3pbijWDu9Uf5G0usEAKsg8AeMpafF7BEAAAAAAAAAAAAAcJhKV6XZQwBMbaXb4k79vvgeX8+wIGy7p106PZ0pXy8AGIHAHwAAAAAAAAAAAAAAABwTPBxZVVC7rn/0dQBgRwT+AN1ELxkMAAAAAAAAAAAAAABSKyNj9P774vZi8Yf8powHAPRE4A8AAAAAAAAAAAAAAJPbnAJIrWMtx+TV069Kfz9/rwDsLVvvBW7fvl07X7lypd6LBgAAAAAAAAAAAAAAABLS2tcqNd01ctaMs8weCgBYp8LfzTffrJ0mT56s96IBAAAAAAAAAAAAALCcDBndPhTA2NYUr5GGngZT1t3kbjJlvQCgF1r6AgAAAAAAAAAAAACQ4pa+tP0Fhlfa21q91ZT2ugR0AdgdgT8AAAAAAAAAAAAAAFLMG/SaPQTAcB2ejjFvc/lc0u3vTsl6MzII9QFwrmyzBwAAAAAAAGBFbBYGAAAAAJiNqoCws1NtpyS3JnfceUyp8EcYEIDNEfgDAAAAAAAAAAAAAACArnbU7DBt3bTtBeBktPQFAAAAAAAAAAAAAAAAAMAGCPwBAAAAAAAAAAAAAODQimOdnk5T1ov01O3rlsbeRvGH/GJVVP8DYHe09AUAAAAAAAAAAAAAwKHBpOeLnpeblt8kF8+9WJcxAWPJa8zTTkbol/5xbyfUB8DJDKnwt2rVKu30+OOPG7E6AAAAAAAAAAAAAAAM4w16TQk1xbqM3JpcXcYDjCUYChoW9ktWRgZhQAD2ZkiFv9raWgkGg3LFFVcYsTrAHHwpAAAAAAAAAAAAANJSQWuB2UMATNUX6DN0fVTwA5DODKnwt2jRIu188uTJRqwOAAAAAAAAAAAAAABDeAKelFX4AwAAMCXwd+2112rnBQUc1QAAAAAAAOwh+aZJAAAAAACn84f8sqZ4jdnDANJug0ky7a6pDgjA7gwJ/P3DP/yD9Pf3y89//nPx+/1GrBKITX+ULwEdlUaNBAAAAACQBG8gaPYQAAAAAABppra7VgrbCqXH32P2UAAAQBoxJPB36623yre+9S05duyY3HXXXVJTU2PEaoHkHXtBpLPa7FEAAAAAAKLocnOAIQAAAADAWOvL1svuut0pXUcgFEjp8oG4URwPAEyXbcRKfvCDH8jEiRPl0ksvlS1btsiqVavk+uuvl8suu0xmz54tWVlZ497/u9/9rhHDBCJXACx+U+TaL5o9EgAAAAAAAAAAAABpRHXRO9x02OxhAJZs6QsA6cyQwN/3vvc9ycgYiHmr82AwKLt27dJOsSDwB1O5280eAQAAAADAhKPL1Y4VAAAAAADMUt9bb/YQAABAugb+Im0kZ6M5AAAAAAAAAAAAACBW1a5qKekokTmT5sgVC66QzIxMcbIWd4vZQwAAAOka+AuFQkasBojfO5UnAQAAAAAAAAAAAFhXh6dDXi9/fdh171r4LrGT/Q37JdgfNHsYQNoLd6gEALty9iEPAAAAAAAgLWSkoqcvAAAAAMBSYbnxLttFXmOeuLwuU9ZNFz4AAJyBwB/SG19qAQAAAABj4BcjAAAAAFhHu6ddnKK1r9XsIQAAABszpKUvAAAAAAAAAAAAAACAHTX2NkpRe5HMmjhLLpt/mWRmUFvJ6vrHOZSTThEA7M7wwN/WrVvlmWeekX379kljY6N4PB45fvy4XHTRRYPz7Ny5U06ePCkzZsyQhx56yOghAgAAAAAAAAAAAAAASLevW14tfXWwJXKwPyjvXvhus4cFAEhjhgX+3G63PPzww/LKK69ol8P/GWZkjE5OZ2VlyZe//GXttmuvvVZWr15t1DABAAAAAAAAAAAAAAA0eY15g/kG5UDDAQJ/VjB2AT8AcDzD6sx+7GMf08J+6j/Cq6++Wr7+9a+POe/1118vl1xyiTb98ssvGzVEYGxDvsABAAAAAKwnwvGESeOnIAAAAADATJGK56SqxSnG1uZpM3sItmCF91dbX5tsqdoiuTW54gl4zB4OANg78KdCe2+88YY2/fvf/172798vP/nJT8a9z0c+8hEtHJibm2vEEIHxtZebPQIAAAAAAAAAAAAAaWRoVTkA0b1W9pqc7jgtBW0Fsq16m9nDAQB7B/6effZZ7fyhhx6Sz33uczHd593vHiiBW1hYmNKxATHprIo+j6/HiJEAAAAAAAAAAAAAAAxC8DK2Sn4ZkoL2C+OJsLqhVf2ozAjAyQwJ/B06dEgrN/zxj3885vssXrxYO29paUnhyAAduRrMHgEAAAAAAAAAAACQNtx+t+Q15snJ1pMS6g+J0+jd0hex84f80unp1NrDtva1mj0cR7f0fa7wOansqkxkhQCQtrKNWElb20ByesmSJTHfJzNzIIsYCjnvixkAAAAAANBXSnaBsOEYAAAAACxtbcla6fEPdOFq97TLTctuMntIcIAub5e8Xv66dg5j7KrbJWfPOJuQKwBYqcLfzJkztfP6+vqY71NRUaGdz5s3L2XjAgAAAAAAAAAAAADYUzjsp6gqfxgfrWljc6TpCGE/g3X7uqUv0Gf2MADANgwJ/J133nna+bFjx2K+z7p167TzK6+8MmXjAgAAAAAAAAAAAAAACCtsLzR7CLZT5aoSl89l9jAAIG0YEvi78847taMFHnvsMfF4PFHn37Vrl7zwwgtauda7777biCECAAAAAAAAAAAAAAAgThvLN8prpa+ZPQwASBuGBP6+9KUvyZw5c6SpqUkeeOABaW9vjzhfIBCQP/zhD3LXXXdJKBSS5cuXy6c//WkjhghEkWH2AAAAAAAABusXWh0BAAAAAAAAAKwl24iVzJgxQ1588UW544475M0339SCfDfffPPg7d/4xjfE5/PJoUOHpKurS6sGOGnSJFmzZo1MmDDBiCECAAAAAAAbU10CAAAAAADOlWFggY4ub5c4EQe2AQP4WwBgd4ZU+FNuu+022bZtm5x11lnS19cnmzZtGtwYr0KAW7dulc7OTi3spwKB27dvl2uuucao4QEAAAAAAAAAAAAALMrIgM6BhgOGrQsAAMCSFf7Crr/+ejl9+rS88MILsn79eq2iX3NzswSDQZk7d65ceeWVcs8998jDDz8sOTk5Rg4NAAAAAAAAAAAAAADp8jmzwh8AAHCGbMNXmJ0tDz30kHYCTBf0mj0CAAAAAIBF9dPdBQAAAADSsqUvAHP0+HrEE/TI3ElzBztGAgAsEPgDLKViV2zzVe8XWXSZyNS5qR4RAAAAACABbAIGAAAAAGczsqUvAOOVd5XLnro9EuwPyooZK+T2lbcT+gOAMWSOdQOAEU6/ZfYIAAAAAABjYPsvAAAAAADjIzQJK9tZu1ML+ymVrkpp7Wsdd37ezwDSGYE/IFYdVWaPAAAAAAAwhoYuj9lDAAAAAACkEC19gfSiQn+p0t7XLv39BAYB2JeuLX1XrVqlnauyqmVlZaOuT8TIZQEAAAAAAIzU3O3VfZls9gUAAAAAADCHP+hP2bIL2wulx98jd666UzIzqJMFIM0Df5WVAwnrkX3Uw9cngp7sAAAAAAAAAAAAAAAA6SPc3jdVarprpMpVJStnrkzpegDA8oG/hx9+OK7rAdsKhUSq94p01YnMO1dkybvMHhEAAAAApDUOFwQAAAAAZ+v0dkad582KN2XhlIVyxYIrkqra5dRWn8XtxXLhnAslKzNLrC4YCoon6JGJWRMlO1PXWAOS5KS/j6L2IgJ/AGxJ1/8Zn3766biuB2yr8ZhIxa6B6fZykcmzzR4RAAAAAAAAAAAA4Eih/lBM81V0VWinidkT5eK5F6d8XHazs3anVLuq5Y5Vd4iVuf1u2VixUVrcLTJ70my5a9VdMj1nutnDgsGM6AbppPAigPRCM3I4V8ArUrZNpPhNEXe7vssu3jT8ctFGfZcPAAAAADAdG30BAAAAwBqa3c1xzZ9bk5uysdhdpatSev29YmWn2k5pYT+lw9Mhx1qOmT0kGBzEU9guAwAmB/4eeeQR7fTSSy8ZsTpgQPEbItUHROrzRY7+eaANb6p4e1K3bAAAAABAVGwCBgAAAADnCvYHzR6Co6gKelZ2sPHgsMvHW47HXOURqeekIF4/W5QA2JQhgb9nn31WO82YMcOI1QEDmovOTPvcIq0lZo4GAAAAAAAAAAAAQAIyxJiKYunCqAptelpTvEa6vF0pX09foC/l64CFWvoS+ANgU4YE/ubPn6+dL1y40IjVAZH5qMIHAAAAAAAAAAAAAHbT7mmX/Ob8lK6jta9VXih6IaXrgLUqCTqpWiGA9GJI4O+iiy7SzquqqoxYHQAAAAAAQNLY5AsAAAAA5jvWckzWla4zexiwgIK2gpQuf1/9Pir8ISblneWytWqrnGw9SWgQgHMDfw899JD2Iafa+gIAAAAAAAAAAAAAEI0n4JG99XvNHgbSRE13jdlDgA1aTzf2Nsqmyk1S3FEsO2t3aucA4MjA32c+8xm57bbb5LXXXpPvfe97JJwBAAAAAAAAAAAAAOMq6Shh3zKQpqz6t59bkzvs8rbqbaaNBUD6yjZiJbt27ZKvf/3r0tLSIj/84Q/lxRdflI9//ONy2WWXyezZsyUrK2vc+990001GDBMAAAAAAGCQRbcrAwAAAABSqMvbJa19rWYPA4BFtXnaIn5uzJw405TxAEhPhgT+brnllmHlVktKSrTgXyzU/QKBQApHh/RhzZK/AAAAAADnHvUNAAAAAEhchgn7954vet7wdQJm8of8kteQJy6fSy6Zd4ksm75MrMCqLX0jebH4Rblr1V2yZNoSs4cCIE0Y0tI3vOE90RMAAAAAAAAAAAAAAKkW6g+ZPQTAUPvr90t+S76Ud5XLhrIN4va7xQqiZUX0yJLoFSoMhAKSWzu81S8A2L7C3/bt241YDQAAAAAASFN2OuobAAAAAJyk2d0sBxsPSnZmtrx3yXtlRs4Ms4cEIA4nWk8MTvdLvxxpPiI3LL1hzPkrXZWSrsYLBHd4OgwdC4D0Zkjg7+abbzZiNQAAAAAAIE2lokOA2sgNAAAAABg//LKxfKP0Bfq0y33+Prl/9f1mD8sxzGhpDPT4esQKrHhwZ7Wr2uwhAIBxgT8AAAAAAAAAAAAAgLPUddcNhv2Uht4GLQSYmZGpy/KruwnXWE1jb6NW0XFC5gStouPMiTN1Xb5V2skmqt3TLrk1udrfxdWLrpbVs1ebPSTbSsXBncnqDfSaPQQA0BD4AwAAAAAAAAAAAADEzRfypbSSVpWrStKZ1SrPB0NBraKjN+jVLnsCHt0rOrZ52sTOdtft1oKvytbqrXLWjLNkYtZE3Zbv8rmkuL1YpudMl/Nnnz9uFTwVmFPPpwpn6h3MTFdU3QRgFQT+AAAAAAAAAAAAAACWosJSRlKV5cJBLURW1V01GPZTeL5Gq+2uHZxW1S4L2wrligVX6LJsX9Ana4rXaOfh1rtXLbpqzPm3VG2R0s5SLRR4y7Jb5MK5F4qdWK2lb42rRnbU7DB7GABgXODv1ltvTepDfOtWY7/MAQAAAAAAWKyQAgAAAACklaGtgo0I+6kglTtgrXayVqsm5g/6zR6C7QT7g7ot62TrycGwn6JaK48V+Gvta9XCfuFKf9trttsu8Gellr4qXPl6+etmDwMAjA387dixQwvujfeBPDKdHZ7XaqltAAAAAAAAAAAAAIBzHGk+YrmwHyJTVfMyMzIt0d44KzPL0HU29zXH1RIb+jncdNhyLbYBpDdDAn833XRT1OBeb2+vlJaWSmdnpzbveeedJ4sXLzZieAAAAAAAwObY5AoAAAAAxrNaBbpEFbUXiZXsq98n1y25LmXLr3JVaaG5OZPmiN08X/S83L7ydtPHXt5VLqtnrxarSqawklWCbUYUh4r1M8zlc6V8LABgyQp/sXrjjTfk0Ucflfb2dnnqqafk+uuvT+nYgJQ68ieR7kaR+ReInH+HSJYhf3IAAAAAkHZ8gZDZQwAAAAAAQBdHm4/KpfMuTdnyDzQckLzGPPnQig/JypkrxU66vF1atbUPnP0BU8dR0lFiWOBPVTU80nREyjvLJZ1Ea+nrC51pbwwA6cb8Wrcj3HHHHbJ7927Jzs6W+++/X+rq6sweEpC4rjqRUFCkqUCko8Ls0QAAAACAY52q1/9Ia2sczw4AAAAA1mWVSmBOVN1dnfIQ2dbqrWJHpztOi1NCa7Go666Tg40HdRmPk9T31Js9BAAwjeUCf8qiRYvkn//5n6W1tVV+8pOfmD0cQB+F680eAQAAAAAAAAAAAGB5Tb1NZg/BElLdRtQXpEKaHdpZ59bmpmW7bSNa+gKAXVky8KfccMMN2vnGjRvNHgoAAAAAAAAAAAAAwABVrip55fQrku5UYOt4y3GxE3/IL3vq9sjG8o1S2VUpTmZkGK0v0CfpSI/qiADgVNliUTk5Odp5fT1lWKETDgAAAAAAAAAAAAAAdJOKKmJvV71Nq2CbymvIk2MtxwaDmw9d9JDMyJlh9rBsT89woWrlfLjpsPb6LJq6SN6z+D2SzuxSCbHT0yn7G/dr0+9Z9B6ZNWmW2UMCYDLLBv52796tnU+ZMsXsoQD6CPhEQkGRzCyzRwIAAAAAiAEHkgMAAACA8bxBr9lDwAg9vh7ZWbtTKl3jV+3Lb8kfdvlQ4yG59axbxYmC/UGxI/Ua5jXmadPN7mYJqv3XFmXH4G9DT4MsnrZY9+W+WfmmdHg6tGl1/uAFD+q+DgD2YsmWvvv27ZMf/OAHWlL9mmuuMXs4gH6OPCviT8+SywAAAAAAAAAAAADsZ3/D/qhhv0h6/D3iVNWuaqnvqTcktKZnFbotlVuGXS5oKxCrOtl6cjDkFqninRWrLG6q3KRVUdRTl7dr2POgptV1ANKbIRX+VHgvmlAoJB0dHXLo0CE5cOCAdll9aP7zP/+zEUMEjNHdJFJ/VOTs95o9EgAAAABAFB1unyyaOcnsYQAAAACArfSrcun26JKJGJV0lJg9BEvaU79HPnreR23V0tdulQmPNB2R286+bVQQUFWctKK+QJ/U9dTJ8unLdVumP+S3/esIwKaBv+9973tx/SekvgRmZ2fLT37yE/nABz6Q0rEBhivPJfAHAAAAADaQX9MpFy6eYfYwAAAAAABGhBSBOLW4W8Sq9AwJmqm4o3hY4E+1ILZq2C8sEAqYPQQAacCQwF8sX5LUfzjTp0+XlStXys033yxf+MIX5KKLLjJqeEBsDv5BZNlVZo8CAAAAAGAA9vcAAAAAAGCNVrSAypwUtheK1enRxhkALBH4U+15AUfobRUp3mT2KAAAAAAAAAAAAACMwxv0ysSsiWJXTqnQBnM4MWz522O/FVsg7wfAAJlGrAQAAAAAAMBuOCIbAAAAAOzrtdLXaNULOECoPyRd3i7T1u8P+qXV3Wra+gHA1Ja+AAAAAAAAAAAAAAAYobWvVZrcTbJo6qKo83LAF9x+tzhJMu9pqwVlnzj2RMqWXddTJ8FQULIys8Z8X6wrXSfuQOzvDyM+T5xYwRGAjSr8BQIBaWlp0U5qGgAAAAAAwCostn0bAAAAAEylgi9vlL8hfz71ZznYcNByoaBIun3dZg8BKZLfnK8FtfRQ31Mvfy36qy7Lgr34Q355tfRVrYpgJCdaT0intzOuZdrhsxGA/Rke+CssLJSvfOUrcuGFF8qkSZNk0aJF2klNq+seffRROXXqlNHDAgAAAAAAGIbNswAAAAAwPGBV6arUQnSHmg5JY29jwstSgRhCMUjG3vq92kkPu+t2iy/o02VZsJ9md7NUdFVEvO1w0+G4l0fFUACOC/x961vfkssuu0x+85vfSHFxsYRCocEvc2paXffrX/9aLr/8cvn2t79t5NAAAAAAAACGoTkKAAAAAJyR35I/7PLO2p2JLac5X544/oT88eQfpdpVLalk57aXdhm7mcFNVX1Nr/bPSG9jBf6silAhgGyjVqSq+qmgX/g/fFXN79prr9Wq+ymNjY1y8OBBrbpfMBiUH//4x9Lb2yu//OUvjRoiAAAAAAAAAAAAACAGnqAn7iCKJ+AZrMrmDXplV90u+eSMT4rZqDaIVMlrzJOSjhK5ZfktsnTaUrGDcCXP6TnTJV3oGaAbqz0wANgu8Ldnzx6tcl9GRoZcdNFF8vvf/17e+973Rpx337598vd///dy4sQJefzxx+XjH//4mPMCAAAAAACkyrxpOWYPAQAAAAAsK5GQ3MgqWl3eLh1H5DwTsyZqwUjYm3qf59bkyoMXPKhlJuzwN7u/Yb984OwPSLrQM6SnQs3nzzlft+UBgGktfX/3u99p5ytXrtTCf+MF+K677jrZuXOnrFq1Srv8xBNPGDFEpAV7lL0GAAAAAFjDWXOmmj0EAAAAAECaUhXHqBTmHJ3eTvGH/DHP39DTIIVtheL2u8UMpztOSzrRs8JfX6BPUs0uLb8B2LzC365du7Sk+r/927/JzJkzo86v5vnmN78pX/ziF7X7AvqgFDcAAAAAAAAAAABgtYCM2az4WFQr2HgCYk6gqhkebzkuThVrSKu4vVi2Vm/VpqdOmCq+oC/FI4MFPwIAwPzAX2Njo3Z+5ZVXxnyfd73rXdp5U1NTysYFAAAAAAAAAAAAAIDVdPu6JZ2odrOvnH5FOjwd4lgxFmULh/2UXn9v6sYDALAtQ1r6Tpo0STvv7Y39P6PwvBMnTkzZuAAAAAAAAAAAAAAAgLlqu2udHfZDWlX53F69nZbcAOwf+Fu5cqV2vmHDhpjvE5531apVKRsXAAAAAACAnVo6AQAAAADgRB1ewn6p1u5pN3sIaaOwvVDqe+rNHgYABzMk8HfHHXdoJXgfe+wx2br1TPnZsWzfvl2bNyMjQ7svoIsQCXoAAAAAAAAAAAAgXfQGYutAxwFf5suItd8tYqLyGSNtKIu9QBOSt7tut9lDAOBghgT+/umf/klmzJghfr9fbr/9dvnyl78sR44ckdCQAJaaVtep2z784Q+Lz+fT7qPuC+ii9G2zRwAAAAAAsJEI28YBAAAAIO0EQgE50HAg5vnHC8+pgi9GOtZ8zND1pSO9Xu/MDEOiC2nNHXCbPQRb8Qa9Zg8BAMaULQaYN2+erFmzRu655x4tyPfb3/5WO+Xk5MicOXO0/+jb2tq028Jpc3XbSy+9JHPnzjViiAAAAAAAAAAAAACAEQ43HdZOEVm8KFuPv0cLLGZnGrJbPC0VtxfLhXMvTHo5RodBnY7nM7mKiF3eLnmt9DXTxgMA0RgWk//gBz8o+/fvl6uuukr7sFQnr9crDQ0NUl9fr02Hr1fzHDhwQN7//vcbNTwAAAAAAAAAAAAAwAhjhf0SaYMbqc1oqp3uOB19Jiq8J2x7zfYxb6t2VWvBqVhQ4U9fZvytOcmhpkNaYBgArMrQQxmuuOIKOXjwoOTl5cnbb78tJ0+elPb2du02Venvkksu0UJ+V199tZHDAgAAAAAAAAAAAADEwRPwSDAU1C2c5Al6ZELmBNFbQVuBLhXokJg1xWvko+d9VGZNmjXufBlWLxepBwdk8FTFzHSpXJksq72nQ/0hKekoEX/QLxfMuUAmZOn/eQvAOKbULlaBPkJ9AAAAAAAAAAAAAGBfW6q2JN1mVAWI3qp8S6pcVTI9Z7qOo4MV+EN+2d+4Xz684sPjzkcLWntQAVrYU25NrhS2F2rTxR3F8sB5D5g9JABJ0L0ubnV1tXYKBvU5mgMAAAAAAMAMdL8BAAAAgPip6lHxqOyq1MJ+SrevW4zW6+9NqD0xYlfeWZ6yamjPFT4njb2NCd0X8dtTt0ecKB0+A8JhP6XZ3SxNvU2mjgeAxQJ/K1askFWrVklxceQSp263W3bu3KmdAAAAAAAAAAAAAADOcbz1eFzzH2g8IGZRoZfni543bf1IXpe3S/bV7zN7GIDtuHwus4cAwGotffvHOQS+oqJCbrnlFsnMzJRAID36uwMAAAAAAAAAAABwBlUVSVWFWz5juUzInGD2cCznSNMRec/i94hdqpX5gj6zh4EkK6w19DZIulItsUs6SiQrI0tWz14tmRm613wCAKRL4C/ZUCAAAAAAAIDZ0qGdCwAAAID4FLQVSG5NrjY9d9Jc+ej5HyVgY2PpHBSD9bYz+EN+yWvMi2uZG8s3Sl1PnTatzm8969akxoj0sb1mu8yZNEfmTp5r9lAAJIBvnwAAAAAAAAAAAAAQg3DYT2nztEl5Z7mp4wHgHAcbDkp+c35c9wmH/ZSi9iIJhoIpGFl6hTHTpXiVqg75aumrWtAUgP0Q+AMAAAAAAJanNraGT8at07BVAQAAALCp2p5as4cAwCbcfve4tx9rOZb0OkISSnoZ6S6dOj6olubF7cVmDwOAnVr6AgAAAAAAxMLjD8rG4w1S3e6WZbMny12XLZHJOVlmDwsAAAAAHKnGVSNlXWWyYMoCuXDOhWYPB3BUS/Drl15v9jCAYbp93WYPAUACCPwBAAAAAABLK2xwaWE/pbajTwrqu+SqFXPMHhYAAAAAOE6Lu0U2lG/Qpk+1nZIMyRC7c8JjgDOoCn4E/gAAeqClLwAAAAAAsLQdxS3DLu863WrIetOngQsAAAAADNhdt3vY5e012xNaTqg/JEeajsgrp1+RvXV7JRAK6DRCwFoONR4Sf8ivTff3syXBroa+dnZ4HdOp7TAAgyv85eXlSWvr6A3wFRUVg9O7du2K6cPypptu0n18AAAAAAAAAAAAAIAzmtxNuiyn2lUt+xv2a9ONvY0yY+IMuWTeJbosG7CSg40HpaWvRW5febt0ebuizq/Cr9mZqW3EqEK2+S35KV2H06jXLhgKSlZmlthBRVeFzJlE9wsgnaXsf5JHHnlkzNsyMgbKJt9yyy1Rl6PmDQQ44gMO8s77HwAAAABgbXY4ohsAAAAArOiNijeGXd5Zu5PAHxz7G1yFr1RYbE3Jmqjzvlj8oty16i6ZOXFmSsbS1tdG2C8BLp9LXi19Ve455x7JyrB+6K+1rzVt/r4AGNjSV31Y6HkCAAAAAAAAAAAAAKQWbSKBxOTW5sbUulpVkjvafDRl41ChNSSm2d0sRe1Fun0OtnnadFlOXOvsa5MXil6QPxz/g+Q15g1ef6L1hOFjAWCzCn//8R//ofciAQAAAAAAAAAAAAAALEkFxWJ1qu2U3LL8FnH73Vrra2/QK+9e+G5dxkFBpeSokNxFcy/SbXnq9Qh3wNRThmSM2WK63dM++FjOm32eTJswTXbX7R57WXQoBGyJwB8AAAAAAEAEbCIHAAAAAACpsqNmh1S6KrXpup46s4eDFOj198q0nGmGtpce6nDTYXnP4veMex9CooA9paSlL2A6/lMCAAAAAAAAAAAA4sMuNiTIF/Sl9frjpaqvhcN+dhy/kzmptbmTHguA4Qj8AQAAAAAARMCxZAAAAACioTISIFLaUSpPnnjS1DGcaD0hdgv8AQCQKAJ/AAAAAAAAAAAAAAAgIZurNid0v9a+VtlZu1Pym/OTrkRW3lWe1P2BQeS4AdhAttkDAAAAAAAAsCa28AIAAAAAkAp9gT55ueRlCfYHtcvTc6abPSTANjIyMsweAgCTEfgDAAAAAAAAAAAAACRdZQ2I1dHmo4NhP6Xb1510e+3yznLxh/xyzqxzJDszO6b7lHSUJLXedOL2u8XpvEGvOEq/SEFbgdmjAJACBP4AAAAAAAAAAAAAACnV6emU/fX7I4aukH46PB26Lk+1B95UuUmbLmwvlPvOvS/qfY61HJO99Xt1HYeTqdbL6cBJwWf1WPIa88adh2qBgD1lmj0AAAAAAAAAK2KfEwAAAADo56WSl8QdcH6FMJivvqdeWtwtUecj7Be7QCgg+S3pEfhzEl/QF3UeQteAPRH4AwAAAAAAAAAAAACklGq1Chilw6tvBcF0/9t95fQrZg8DADAEgT/AcJTEBQAAAAA74PhmAAAAAACQ7ko6SrSWyenCDi19M8gcAGmPwB8AAAAAAHCkqd5mmdlXK9IfMnsoAAAAAAAbh2uAdFbQWiDppM/fZ/YQACCqbDHAzp07tfOrr75aJk+eHNN9PB6PHDx4UJu+6aabUjo+OBB95gEAAAAgLYRC/XKoanSbniWuY3JW5wFtunPScilacLsJowMAAAAAREOlKgBWYtcQcpe3yzGPBYBFAn+33HKLZGZmyvHjx+Wiiy6K6T51dXWD9wsEAikfIwAAAAAAsJ+CepfsKR3dViYc9lNmeWpkqrdFeifOj2vZHEsGAAAAAM7Vz48+AA5ysHGgoFa8MjIIXQN2lGn1L0x80QIAAAAAAGN5u7Appvmm+Zp1X7fL45dOt0/35QIAAACAUfxBv9R214rL5zJtDGZVoHqj4g1T1gtjUDlSP+kWCLNrVbweX4/ZQwDgtAp/iQiFQtp5VlaW2UMBAAAAAABpaLyDEI/VdMq2ooEQYVZmhvzjLedIdpZhx1UCAAAA0FG3r1tya3O18yvmXyEXzr1Q0oEv6JO1JWul09sp2ZnZcsfKOyRdNPY2SpWryuxhpJVDjYfkXQvfJZkZ/HYGkkWgFYBl/zetqhr4gjVz5kyzhwIAAAAAADAsCBgO+ynBUL+8fKTW1DEBAAAASNz+hv1S7aqWDk+HbK/ZrgX/0sGptlNa2E8JhAJa6NEMat1Gq+muMXyd6U61G1XVJGEf3qDX7CEgSS3ulpjC3wDsJyUV/qqrqyNe39DQINOmTRv3vl6vV8rKyuTf//3ftdKwF198cSqGCAAAAAAA0sjEoH5tTUIRCv/Vd3rEHwzJBKr8AQAAALZzuuP0sMtHm4/KTctuEqcraCsYdrnL22XKOPoCfaasF8Z7u/pteeSSR8weBmJU1F4kl8+/XNLNeB0f7DYed8AddR4zQ+4qbK/GeM7Mc2RC1gTTxgHYUUoCfytXroz4IfTBD34w7mV96lOf0mlUAAAAAAAgXS1xHZPqWdfGdZ94N6eqSn8TsuK8EwAAAADL8Qf9Zg8BcCRPwGP2EBCHk60n0zLwZ9b/O6rN+PSc6bJw6kJJB4ebDsuBhgPadP6kfPn4+R/XioIBMDHwN1bCOJ7k8aRJk+TRRx+VRx4h4Q8AAAAAAIbz+IMyiXQdAAAAAJMVthfKkmlL5Pw554vdmFXRD4A9ZAjhK6Pamr9U8pLWYl0957eedWv0/1Mc8NKEw35Ku6ddKroqZNWsVaaOCZB0D/w9/fTTwy5/5jOf0ZK4P/zhD2Xp0qVj3k/No4J+ixcvliuvvDJq+1/AlvpDZo8AAAAAAGzPGwiNGfjLCvl0WcdYxy2OdUAjByEDAAAA6Wlr9VYt9KcqM9mF1VpWArCedK221h93z4fklHSUaGG/8LrV/yl2DJEnq8ndROAPMDvw9/DDD48K/Cn33XefXHTRRalYJTACP1IAAAAAIF1NCLpNWS/7ywAAAID0pVoT3rL8FrELowMtZodIVDXDmRNnmj0UABil2lU97u3pGrwEML5MMcD27dtl27ZtsnLlSiNWBwAAAAAAAAAAAACG8QQ9Zg8B49hStcXsIQC2E6JzXVoIVxcEYC8pqfA30s0332zEagAAAAAAAEyreBE+4Lqhq087XzxzciqGBQAAAACIU7O7WQKhgGRnGrJ7HHAEVRmzxlVDC3CTRXr+MyRD19cZgP1Y5hvNsWPHZO3atdLa2qpVAvzkJz8pS5cuNXtYAAAAAAAAw4y3mTu3pEWOVHVo01eeNUtuOX+BYeMCAAAAoI90aHebjgGeoa9rOj5+IBG76nZRAQ4A0jXwl5eXJ1/60pckOztb3njjDZk1a9aw23/3u99ptw/9YvWjH/1ICwB+4AMfMGKIAAAAAAArU78X20pFQgGReeeLZGaaPSKkgxH7f9R2iw63X7LCpfxG8AVCg2E/5Wh1p7xn1VyZNCEr1SMFAAAAYDab5cc6vGd+uwDAWNIx7EcgGIAdGBL427Bhgxw6dEg++MEPjgr7VVRUyKOPPiqh0PD+793d3fLxj39ciouLZf78+UYMEwAAAABgVac3i9QdGZietVzkyofMHhHS0JsnG6W4sXvM23u8gYjXEfgDAAAAkIxef6+0e9pl3uR5Mjl7ctLL6/B0yEslL+kyNsCq9Gx5CgCA1RhSEmHHjh2SkZEhH/7wh0fd9utf/1r8fr9MnjxZXnnlFenq6pI1a9Zol9X0E088kfLxVVVVyde+9jW54IILZOrUqTJnzhy5+uqr5X//93/F7Xbrtp4333xT7r//flm2bJlMnDhRO1eX1fWxCgQC2nNy4403akFI9Tydc8458sUvflEKCgpiXo5qnfzd735XLrvsMpkxY4Z2UtPqura2tnHvq8KZO3fulG9/+9tyyy23yKJFiyQnJ0dbxiWXXCL/+I//KMePH495LAAAAAAwrlDwTNhP6awRcbebOSJYXEYKSms0uTzjhv0G1svOBAAAAAD6autrkxeKXpANZRvkxaIXpcvblfQy9zfsp4IVANgY26AAGFLhr66uTjtXgbKRXnvtNS0MqAJr9913n3bdAw88IPv27ZOf//znsmnTJvn3f//3lFYffOihh8Tlcg1ep0J+qiKhOj355JOyceNGOffccxNehwrIfeELX5Cnnnpq1POiTuvWrZPPfe5zWmvjzHHaUqmQ3h133KG1SB6qvLxcfv/738uzzz4rjz/+uLas8Rw4cEB7rhsbG4ddf+LECe2kHrMa0zXXXBPx/itWrJCamppR16vgpgodqpN6LF//+tflf/7nf7TXFwAAAAASptr4jlRzUOT80QeVIY2Mt29Kpx1XQ5dyuqlHl2UCAAAAQDz2NewTb9CrTbsDbjnUdEhuO+u2pJZZ0VWh0+gAwHn67dajHUBaMqTCX0tLi3Y+d+7cYdersFtZWZk2/bGPfWzYbar9r1JUVJSycR09elRrG6zCftOmTZMf/ehHsnfvXtm6dat8/vOf1+YpKSmRO++8U2sxnKj/9//+32DY78orr5Tnn39eDh48qJ2ry4oK2X3nO98ZcxnBYFCrBhgO+33kIx/RKgOq8N6vfvUrWbBggXi9Xi04OV7FQBXUu/vuu7WwX3Z2tnzjG9/QqvWpk5pW1zU0NGjz1NbWRlxGfX29dq5CkN/85jdl/fr1Wjhy165d8oMf/EBmz56thRx/8pOfaI8dAAAAAHTX3WD2CGCyHSXN4g+GxOoomgEAAAAgGdWu6mGXi9uLTRuLkxDoAQAAdmZIhT+fz6ed9/b2DrteBcSUKVOmaC10h1q4cKF2nkzQLpqvfvWr0tfXp4XcNm/eLNddd93gbbfeequsXr1aC8Gp0N9Pf/pT+d73vhf3OtR9/+///k+bvuqqq7RgnWrDq6jHfM8998jNN9+sBeZUC+FHHnkkYjVBVb1v9+7d2rRqmataIYepSny33367vPvd79bCi48++qgUFhZqj2skFcALBzD/+te/ykc/+tHB21SbYLUMFYJsbm7WAojPPPPMqGWo9f3Hf/yHFsocWb3vhhtukE984hPac6nWox6Tqji4atWquJ87AAAAABhA1XCMVt7SK8dqOlPa0lePsN7p5m6ZP32iHsMBAAAAAEB3O2p2yC3LbzF7GAAAwGoV/ubPn6+dh6v5hW3ZskU7f8973iNZWVnDbvN4PNr5rFmzUjImVWEvHDj87Gc/OyzsF/a1r31NLrzwQm36l7/8pdayNl6/+MUvJBAYaD/12GOPDYb9wlTYUV2vqPlUG+NIwqHBOXPmaCG6kVRI8Fvf+pY2XVpaKq+++uqoeVRVv+eee06b/tCHPjQs7BemKi2q25Q///nPo9r+KqoKoppnrFa955xzjnz3u98dfEyqPbDhKKEAAAAAAI6363SrWF1rz8BBkAAAAACsKb85X5flUDHOBniJIjrVdkpa+6z/+xowSj9ZAwA2YEjgT1W2Ux+Kqq2tavWqtLW1ySuvvKKFxm677bZR9wmHA8OV/vQ2NIT2mc98JuI8mZmZ8qlPfUqb7uzslO3bt8e1DvWYX3vtNW36ggsu0IKNkajrzz//fG1azT/yPxBVJVBV7AsH8lRIMJJPf/rTg9ORAn+q9W74+R/rMQ9djppX3ScR73vf+wanRwY9AQAAACA+bGRDfPozDNncERM2EgMAAADWtrd+76jrSjpKpLa71vDv96H+kNayV53UNGCUovYiw9dJSBYAgMQZsgU8HJpTFfVUy9evf/3r8t73vle6urq0trOf/OQnI1aRC1eLS4Vwe9ypU6dqbWzHotrthu3ZsyeudVRUVEh9ff2o5Yy3nrq6OqmsrIw41mjLWbRokZx33nljjjXW5STzmMO8Xu/g9MjqjQAAAAAApFK/Tm2g9dj5MFZ1fAAAAADWtr5svRxrOTbsulPtp1K6zs1Vm2Vr9VbtpKZTwR+Kv6MZ0lswFDR7CADSACFgID7ZYoD7779fHnjgAVm7dq3s379fDhw4MHgEzDe+8Q1Zvnz5sPmDweBg9T8VEEyFcMU81QpXhQ7HoirzjbxPrE6dOhVxObGsZ+XKlQkvR1UErKmpkd7eXi3QOHI5M2fO1MKBY1m8eLHMmDFDXC5X3I85LDc3d3A63BY5HrW1o4+aGqqhoSGhcQEAAAAAnC/DQhsIPT52jAAAAAB2taduj1w+//LBy7k1Z/Z/6a0v0CflneWDl9W02+/Wbflq3+z2mu2mVHKzIoIlsQv0B8weAmAou34+2Omg00Bo9OdKQw8ZEMBygT/lhRdekN/85jfy0ksvSWNjoxYqe/jhhyO2llXzNjU1adN33nmn7mPxeDzS2tqqTS9btmzceWfPnq2F5lR4ToXoEg2tRVvP0NDjyPUkshz1pV3dL9wqeOhyoi0jvJyCgoK4H7PidrvlF7/4hTY9ceJEuffee+NexsgQKAAAAAAAMYvQZsuXNTWpxSS6zbSusy+xOwIAAABIKyrwF8t1iWrobSDshzGlul01YCf76veJ1RW2F8o1i6+RqRPi395l1VAlFWgBiwb+MjMz5ctf/rJ2ika1+I3U5lcv3d3dg9PTpk2LOn848NfT05Oy9QytxDdyPXovJ9bHHGkZsfjmN78p1dXV2vSXvvQlWbJkSdzLAAAAAABAzwp/7ZNXJLVM9n0AAAAAGE9FV4VY2aGmQ2YPARZW31Nv9hAAy1ABaTt4tuBZ+fvL/14yMzLNHgoAJwf+rERV+AvLycmJOr+qUqf09fWlbD3hdURaj97LSeVjfu655+Txxx8fbOX7n//5n5KIaJUFVUvfa665JqFlAwAAALAZklaI2+j3TCgjy5SRAAAAAEivKml2aqkIhHmCZ/ZHj5QhGY77O1X/CEnBCQ43HZarF10tTmDXVsqAWdIy8Ddp0qTBaZ/PF3V+r9ernU+ePDll6wmvI9J6Ri5n6OV4l6Pa7abqMe/YsUM++9nPatNz5syRl19+Oe7nLCyWtsMAAAAAAEQSaVfENF9z3MthMyMAAADgbPG0zO3ydkWdxxv0yqTssffj6UW1PZyQOSGu+zgttAUkoq6nTjZXbhZPwCNXLbrK7OEASctrzHNM4A9AfNIytj59+vTB6Vha1qp2vrG2wk10PeF1RFqP3stJxWM+dOiQ3HPPPVpQUN3njTfe0Cr8AQAAAEiwop3dq9oFvCJ9HSKhkA4Ls/lzAUuY4W00ewgAAAAALOZI05GY5y1sLxSreKvyLbOH4Igqb4iu19+rtQ11ij11e7Sgr6okpoJSgJW5fC5ZW7JWXip5yeyhAEj3wJ+qLPf000/LvffeKytWrNCCYVlZWeOesrP1L0KoKt3NnTtXm66trR133o6OjsHw2/LlyxOuUhdtPUNb2I5cTyLLUeXCR1bJC1+Otoyhy4nlMRcUFMiHP/xh6e7u1loBr1u3Tq699tqo9wMAAAAQQeUekdwfi+x9TKSzWmypu0nk4O9F9j8hkv+cSCB6lXFAVzrtuGEHEAAAAOBsx1qO6bq80s5SQ35HVLuqtQplgF7Gej+psJ+qKOkUrX2tZg8BiNnRpqPS7I6/Y4VdUYkWsGjgr6SkRK644gr53Oc+Jxs2bJDq6mqtvaz60hvtlAoXXXSRdl5aWiqBQGDM+YqKigan461YF17HyOXEu55ElqOCelOnTo24nK6uLmlsHLuyQUNDg7hcrohjGamsrEw+8IEPSFtbmxbOfPHFF+W2224T87FTBgAAADbk7Rap2DkQVvL1ipRtE1uq3CXifaeyeFetSHOB2SMCAAAAACDldtbulNzaXEOCDr4QB9dBP8H+4KjrUrWf3u13ixFUgRzAzgrarLFNtcfXI6c7TkuHp8PsoQAwOvCnKuTdfvvtWhhN/cd63333yec//3ntNnX53//93+VLX/rSYFU4dd173/te+Y//+A/57ne/m5Ix3XDDDYNjO3z48Jjz5eae+VJ+/fXXx7WOlStXypIlS0YtJ5KdO3dq50uXLtWqH0Yaa7TlqBCfClaONdZYlxPrY1aVAt///vdrAcHMzEx59tlnteqNAAAAABLUMKKygKtBbKn19PDLFbtEettETqwVOf6SSE9LfMuLtIE5e1JyY4TD6VThL+75OfgMAAAASHen2k5JqD8U9/1S9XtChbaONh+Vmu4z3cbS1dDn2ElV61IlVe/JDWUbUrJcAPrr8nbJi8UvypaqLbKmeI009Nh0ezXgQIYE/p544gmpqKjQWvRu3rxZXnnlFXn00UcHb//+978vjz32mOzbt08L36mqcvv379fa7qrQXyqo0GGYajMcSSgUkj/96U/a9KxZs+R973tfXOtQwcVwAE6FHdVjikRdH67Mp+YfebTBeeedN1hpb82aNVplxEieeeaZwen7779/1O333HOPFswb7zEPXY6aV90nkubmZi3sV1lZOfgaf+ITnxhzmQAAAACSFAqKtJSIdFSJ/fSLHP3zQBCwrVQk78nkW65OIPAHY8VSGKChi5ZaAAAAAFJXGS0RLX0tsq9+n9nDsJyTrSfNHkLaavO00VoXsNgBpGNV7zvUeEi8Qe9gJdBEq9gCsGngT7XwVSG2j33sY3LrrbeOO++VV14p27dvlwULFsi//Mu/jFt9LxnXXHON3Hjjjdr0U089pYUNR/rpT38qhYWF2vRXv/pVmTBhwrDbd+zYoT0udfr0pz8dcT3/9E//pAUdla985SvS19c37HZ1WV2vqJa4av5Ivv71r2vn7e3t8o1vfCNia93//u//1qbPPffciIG/RYsWySc/+Ult+q233pK1a9eOmuell17SblP+7u/+TrvPSJ2dnfKhD31IiouLtcs///nPBys2Ikan1ov4h78XAAAAgHGdeEnk5Msi+X8dqJhnJz736O+/PU1xLCDCRq/mgYOmACvJLY6zeiUAAAAAR0okvBFvS99YEfaDFYUDRKnU6+9N+ToAp9hWvS3i9cUdA5mQsHZPu0EjAmCJwN+pU6e080ghtHAlvaHmz5+vhf0CgYA8/vjjKRvXL3/5S5k8ebK2ng9+8INaYE5V21OBwy9+8YuDwTpVYe9rX/taQutQ9/3Xf/1XbfrQoUNai9wXX3xRm1bn6rKaVtR8q1evjrichx9+eLC97q9//Wt54IEHtGDewYMHtedItUB2uVxaVb5f/epXWngwkh/96Efa86s8+OCD8m//9m+ye/du7aSmw1X61Dz/+Z//Oer+Xq9X7rzzTsnPz9cuqwChqvR38uTJMU+quiNGaCoQqdpj9igAAABgF92NIu1DvldX7hbba+JIeqROhl5HRg9ZjIUKdAAAAABwCNX6t8fXo7WXVZWTUsEX8qVkuXZkhSpaMM7BxoNmDwFIOPD9yulXYr5/IBRIegxN7qZR7eipxAlYW+RUmM5URTjl7LPPHrxu4sSJg9O9vb0yffr0YfcJh9tyc1NXElRVE1Shu4ceekgLy33729+OGNjbuHHjqPHFQ4XsVAvcP/7xj3L06FH527/921HzfPazn40YsAtTVQLXrVsnd9xxh+Tl5cnLL7+snYZSz6kK/91+++1jLmf58uVaxUXV0rixsVF+/OMfa6ehVFU/ta5ly5aNun9DQ4Ps3bt38PJzzz2nncZz8803a9UQMUJNnsi57zd7FAAAALCD7gZxHH8crU9JWkEHnuyZwy7nZGeKLzB8QyYAAAAAGFnh7PWy17WQxaTsSeIJxPE7GQmp76mXlTNXmj0MiEhRW5EEQ6kJuYb5goRdYd8wcmNvY8z3r3ZVy6pZq3QelUheY54YiVA2YMEKf1OmTNHOVevbsFmzZg1OV1dXj3lfFUpLpbvvvluOHz8u//zP/6yF+9RY1diuuuoqLQinAnqqRW4yVNU91TZYBQfvvfdeWbJkieTk5Gjn6vIbb7whTz75pDbfeObNm6eF7X7zm9/IDTfcIHPnzpVJkybJqlWrtJa6qv3x5z73uajjufbaa+XEiRPyne98Ry655BKZNm2adrr00ku161RVPjUPAAAAAKOlpn0PkH5GbyDsm3BmO4TypfedK0M2U4yxFDY0AgAAAE41spKRnmL5LVHcXqyF/ZSxwn78JtHX4abDZg8BQ9qE1vXUmT0MwBF21u5MyXIruujkCEi6V/hbuXKlFqqrr68fFl6bM2eOdHR0yJ49e+Tiiy8edh8VXlNUMC7VVOXBn/3sZ9opHrfccov0x1FpQlXnU6dkqFa9//AP/6CdkqGe/x/+8IfaKR4rVqyI6zEDAAAAiEd/+gQBs89UfTdVKKSOThs4weH4LQsAAADgjMquyrjmj2v/WAyz7qnbE9f6AaOxTxhIX6rdvBVaGwMwucKfqpanHDp0aNj1t912m/ZF4X//93+lvb198Pry8nL5n//5H60i4BVXXGHEEAEAAAAAemgri22+WWfFsdAUbWBuOC6y66cDp6ZTqVkHTBFt8+CCGRYJnAIAAAAwTWF7YcqW/eTJJ6W8s3z8mTKMCUYQoAAGEGCEVVnxc/pAwwGzhwDACoG/D3zgA9p/oOvXrx92/aOPPjoY8FPtdD/60Y9qFfBUyC9cDfALX/iCEUMEAAAAACSrtVTk+JoYZzZ5Q1YoKHJ6s0goIBL0i5x+a6DaHxwrI4F2XUP3BVAEEgAAAEjvgIUqVBIrtV90V92ucQNGsax/TXGsv7ERC1okpzdefzj9vZlscDD8f1YwFNTabgOwNkMCf3fddZfcdNNNMn36dCkrO1Pt4frrr5fvfve72geHqvD3yiuvyFtvvSU9PQPlQT/zmc/IJz7xCSOGCKfhCA0AAADYks0TRUUb4pi539zv9z1NA0G/ML9HxNul/3pgGbM8tWYPAQAAAEAaVQfr9fdKX6DPVhWdACejwh8Qm9LOUlP+lrxBb0qWCzhVthErmTJliuzYsSPibd/73vfkxhtvlCeffFIKCgokEAjI6tWr5VOf+pT8zd/8jRHDAwAAAADrUkE0u7DTWCPtWGHDr3Po9FrylgAAAACcK56KfXZGsBCxOtJ0RN618F2OrYjntMcDpEp9z0A3zrHUdNfIWTPO0n29KigPwMTA35/+9Cft/L777pMZM2bEdJ/bbrtNOwEAACANqPSEaquYkUl/RCAWTQUimVlmjwIAAAAAANMVthXKwcaDMjFrotx61q2yYMoCsXXgkPyRoajwNr79DfvlvNnnybScaeJEBP4Aff5GxqteC8DGLX0//elPa614a2sjt8ppaWmRH/zgB9oJAAAAacbnFsl/TiT3JwPn6jKA8amAbNpLwQZZAseOlpGC9wz7hQAAAABzeQIe2VG7Q6sA1O5plz11ewxZbyhFv8sz1cGwBgj2Bw1ZD5yhoK1AnKSpt+nMBX7XA+NqcbfENF+PvyflYwEQnTHfJIdobm7W2vh+//vfN3rVAAAAMFvDMZHOmoFpdd543OwRAQAwJr32BZyo7dJpSQAAAED6Ku4oHlahraG3wZBWt8dajmnn/pBf7KbT0ymtfa1mDwMwzYbyDRIIBcweBmALr5a+Krvrdps9DABWDfwBAAAgjZXvGH65bLtZIwFgJ5RWQ9z0e88EgiF5q6BR8irbE17G24VDKgoAAAAAsFSlvWj21e/TQnMnW0/q0h5RPY5gyJiqe4eaDhmyHjiTE1rg+oI+KessM3sYgG0cbzkuje7Gcedp7B3/dgDGyDZoPQAiaSsTmXuO2aMAAACA1Tmx/azpIb4MC44JVqOqh1S2ueVUvcvsoQAAAABpL9aKfLEq7yqPed699Xt1WacKDr5Z8aZ0+7rFCCUdJYasxy7U8/+b/N+YPQyYEPpzSoAR9qPa307LmTZmy+mjzUeloqtCrKTD0zHu7VWuKsPGAmBsVPiDMwX6xBYKN5g9AgAAACA9OTFEiUEZOm7EV9X9AAAAAKS32u5aXZZzsOFgSsJ+pR2l8lLJS7KpYpP0+nt1Xz4AIDFvVb4V8XrVJn592fq4wudWYsc294DTEPiD86iqHEefE1vw2ySYCAAAAJjKqCOwOdIbAAAAAJA6la5K3Zfp9rtlS9UWaXG3aMER1YIYAGANKoTtCXhGXV/SXmLr0Fy1q9rsIQBpj8AfnKejQsTTZfYoAAAAAKTSggvMHgHSABFQAAAAAFan2kEObVVKG18ko6WvxewhAI4T6g+Nus4dcIud9asiTABMReAPzlN7yOwRAAAAAIgqjo1CkTYg5UxPcv0RWvqyoco5eCkBAAAAWIAR4Ttv0JvydSB9DKva5bDf1kODsYCTmPHe3t+wXwKhgOHrBXBGtqTIb37zG1mwYMGo65ubmwenf/CDH8S0rO9+97u6jg0O11Zm9ggAAACA1FPhtIwIoTUAuv6Z+QKjj8IGAAAAgFio9rpXLrgyJcs+1XZKLp57sRS1F6Vk+UhfwVBQsjKzxCkI+sHp+gJ9Ut9Tb2gA3OVzSV5jnly35DrD1gnAoMDfb3/72zFvy3hnp9T3v//9mJZF4A8AAABAWgj0jb7O6xLJni+O4+kyewRwtNEb873ZyVaFBAAAAGCm8P5FDDjcdFg7AYge+IvUUhVwknWl60xpKU/gD3BY4E/Pft18eQcAAACQNvyeCNe5RSK1R3DVi8xcKrZVc1DkrPcksYBUHJ3NEd/OxusLAABU1SK1079fJmRlmj0UAEgpPffXIr1Uuiq1dp1OCcntqdsje+v3ylULrzJ7KADe4QlE2A4OwNzA3/bt2/VeJAAAAACkt0gb6f0RqgHaia/X5AFEeE7ZGeIYGbqF+3hPAADgJA1dffL6sQbp8QbkiuWz5Jbz51N0AIBjNbmbzB4CbGpr9VYJRDr41OYBWNV+FIA1HG85bvYQANvTPfB38803671IAAAAAHCuvg6Ryj0imVmRQ3CNJwdO6cywIB7hLkfj5QUAIO3tOt2qhf2U/JpOuXjpDFkwfZLZwwKAlFAV2oBEOC3sB8B6qrurzR4CYHspaekLAAAAAIgxyHbsBZG+TrNHkn4hwEj3p8KfoyVS9Y+3BAAAzlLXMbxK9tHqTvnQxYtMGw+A+GQIFTkBAHCCDk9H3PfxB/3iDXpl6oSpVOkGCPwBAAAAgIm6Gwj7xaTfoGWS7nIOXl8AAAAA6S2RMAUAAGYqaCuQgtYCmTlxpty49EaZMmGKdn1rX6tsLN8ovf5eWT59udy+8nbJziTuhPTGXwAAAAAAmCXgSeLOhJd0Rzk3R0ukwh8AAAAAJMsf8ktuTa5UuaoMW2eoPyR9geFVTQEAsDr1/2U44Kd8aMWHtPMDDQe0sJ9S010j5V3lct7s80wcKWC+TLMHAAAAAACANcJ9BMKcIiNiy+YhkzG+1LwjAAAAAOuwa0vf8s5yKeko0doQGuVo81HD1gUAQCqUdZYNTo8Mzec15pkwIsBaqPAHAAAAALA2o8J5VPgDAAAAAOhsa/VWw9epKiEBAGAlgVBAKroqZGLWRLOHAjgCgT8AAAAAsCMnhNMq94isuD6x+/aHklx5fwqWCbu09M3ISJ8/MwAAMDb+rwcAAACMsb5svTT2NsZ9v3B7XwDD0dIXAAAAAGCOip0ioVhCdhH2xNbnJ7fu6v2xrQcOcub1Zec+AAAAAAAAYAwV9Esk7Le1aqu8VPJSSsYE2B0V/gAAAAAA5tGq6plwLFpLcYSxkAJzYjW/8a4DAAAAYB8ZsZbqBgAAllLTXZPQ/Yo7ImzDBaChwh8AAAAAABoCYc4W/+vrCwZTMhIAAAAA+ujnwC0AACyvL9Bn9hAAxyHwBwAAAAC2lEY7NSLtwMmZasx64BwJvLwefywtpwEAAAAAAIDIXD6X2UMA4EAE/gAAAADAjjoqJa3NXGr2CGDjdB/RTgAAAAAAABhhS9UWs4cAwIEI/AEAAACAHdUdEQk5od1of2LzpKIaHxX+HC1j6PsoxteatwQAAABgHRmSMeq6UP/oqtyBUEAK2gqksK1Qgo743QwAsLNuX7f4gr5h11H1D0CyspNeAgAAAAAgMYHhG3ri1lUjMnuF2JqlElVWGgt0C/cNOnNdKMaXup/3BAAAAGBpdT11ctaMs4Zdt6lyk1S7qrXpqu4q+fCKD5s0OgAAzoTRc7Jyxg2s21Gvv1emTpg65u19gT4p7yqXmu4aQ8cFpAMq/AEAAACAWeoOOScs53OnbtmRHmcij723TeTkKyIF62JfDxwZAuyP8bVudnlTOCIAAAAAcRld4E/eqnxr2OUeX89g2E8p7ywXT8BjxOgAABjTyAp/TlHZVTnmbf6QX9YUr5Hcmlzp8nYZOi4gHRD4AwAAAACz9HUmd/+MCHs7zNJ0MsE7GhSyUwGvEy+JtBSLNBcas06YJ0pINNYKfwAAAACsTYUJRlYaGskb5EAeAIC5/lr0V2l2N0s6KWwrjPj/MgB9EPgDAAAAANhQnImt3haRvg59lwlbGRqP7eobvlMQAAAAAAAASKV99fvEqe2Kg6HgqOvreupMGQ+QLrLNHgAAAAAApK9kA2YWqvCXqJhaq+rQ0tehbTMAAACQuJZu2nwCAADAGEMDcP3xbtu0qNzaXO00dcJU+dCKD8miqYsGb8twwrZrwMKo8AcAAAAAMJFRG7di2MDkkA1tGAuvr135AiHp9vgdszEcAGAdrT0cFALYCcEBAACsSbXuNbKCIduIACr8AdYXDIh014tMnCEyeZbZowEAAACMF3EDTio26rChKC3eSxnsJLST5m6PvHa0Xnq8ATlrzhS594olkp3F8avJCIX6pb6rT6bkZMucqTlmDwcAAAAAADhAQ2+D2UMA0gqBP8DKgn6Rw8+I9LaKZGaLXPIRkbnnmD0qAAAAQD+JHo3JUZwYR8aY4U11PYE/O9lT2qqF/ZTqdrecbu6RCxfPMHtYtqWOgH/5SK3UdvRJZkaGfOCihXLREp5PAAAAAACMVN5VbvYQANgch0TDWZy008/nFtn5fwNhPyUUECl63exRAQAAwEqoVKbvc+Wk3xOIMwgIq6psdQ+7fKC8zbSxOEFVm1sL+ymh/n55q6DR7CEBulew3F/eJmvyamRvaasEQ3zuA4CTdHm7ErpfBr+dAQAW0uxullB/yOxhALA5KvzBWbwucYyG/MghQAAAADgHAbMY2+jS0hfx4rUEIqlo7TV7CEBKlbb0yL6ygWBwXWefzJqSQxVLAHAIt98tR5uPjjtPMBSUPfV7DBsTAACJWFuy1uwhAHAAKvzBWSod9EOuPNfsEQAAACDVfMkGLxxQpYCWvjAU7xsAcLKNxxuGXaaKJQA4R7Swn1LdXS2NvXz2AwBgCQ7YdA1YGRX+4CwdFWI7Qb9I1gSzRwEAAABYV8RwXwqCW8mGCJsLRcq2iWROEDn/dpFZy/UaGeKUMeS1zM7MkMA7LR0z+kX62dgIAAAA2E5D7/BQdyRbq7dGvP7N8jflnFnnyLsWvksyM6iFAgAAAPvjWy2cxWPDlr6H/iji7TZ7FAAAADBaKCSOknBYzqCKa/2h1I5FHchTtHHgN4m7TeT0W4kvC7rJzBA5Z8G0IddQ4Q8AAABwmta+Vnm55GXxBX0Rb2/ztMnBxoNS0Fpg+NgAAEgnG8o2aKe2vjazhwI4HoE/wGzudpHqA7HP74p+FBsAAADsgOBRUs9VvAHD5iJJqfbygdBfWE8LbYdNtnrBNLl8+SyZMyVn8LoM/u5spZ+/IcARf8c17W6pbO3lbxoAkDJritdIk7sp6ny76nYZMh4AANJVTXeNdtpStSWl6+lnGx9AS1/AEmrzRFa/P7Z5206LzFic6hEBAADADjIy7D8WoyoD+npSOBYR6axO/L5IiemTsmVidtaIa9kYaCd1nX1mDwFAknJLWuRodac2feHi6fLhS9imBesJhvrlSHWH1Hf2ycp5U+XSpTMlw0rfswFoMkTfv8uxguhZGVkS7A/qui4AANJNu6ddOwFIHSr8AXZTuUekbLvZowAAAADs1dI31Tttaw+Nvo5KRqahkp8znKjtMnsIAJLgD4YGw35KYUO3dHuGVMM1USAYkr2lrbLpZKM0uTwxB0NO1nXJS4dqZHtRs/gCoZSPE8b41dbTsvt0q5S39MrWwmapbHObPSQAQ4T6Q1LtqpbmvmZdlhet4ux9596ny3oAAACAVCLwB1jFyZdFfDFuTKreL+LtTvWIAAAAkFJ6BNDSpPJIpB0ysYbpQkGRks0iTadiWVHcQ4NVjfFaEsIEAMNECsR19Vkj8LfrdKscqGiXwgaXrMmrEY8/eiWnlm6vbDnVJLUdfZJf0ymHqzoMGStGU22inz9YLWsO1Uhzd2yBzXi8VdCo+zIBJB7O21C2QV4vf1231vAVropxb588YbIu6wEAAABSicAfYBUtJQOtfWPVUXVm2t0uUrVPpLU0JUMDAABAKhA8MqQyYFuZSN3hFI9lzAXqvDzEI1IrvjSJyAIAolCBvbBAqH/Y5aF6vAFp6OrTKgLuKGkZdtv+8raUjxOjhUL98saJBmns8khdR58W2NQrBBTW56OVJ2C2hp4G2Vq9VTZWbJS6njpdl72pYpM09jZKP7/XAAAAYGPZZg8AwBBVe0VW3RzffVSlv0N/FAm+c4T0BXeKLL4sJcMDAAAAzBFhR4yrQeT4SyLn3y4ycdrYdz21LqUjgzVljLnjn516AIDRXBEqD9Z19sm6o3VapcJ50ydKrzeQ8nEEQ/1yurlbsjMz5Jz50yKG19Odel3cQwJ5/mC/vH68Qe6+fImp4wKgnx5fj6wrXZfSQN4rp1+Rv1n9NylbPgAAAJBqBP4AJ4QEw2E/pWgjgT8AAABb0GEHriN2AiexE6etVKR6v8jq94/f0teIsURcHOEy80R+7jMI/NlekJcQwBhqO9y6Lm97UfNgW+LWbq8Y4fXj9VLe0qtNX7p0prz/ooWGrNcuQb+Kll7xBkZ/tytt7tFa+y6YPsmUsQHQV15jniHV914+/XLK1wEAAACkCi19ASuKacdg/+jWvgAAAIDdJBuKq83TayQE9Cyqo9en38J4jR1ZhcuoINGpepd4/LR5RHpQ7/W9Za1yoLxtMPRmdduLh7fcjUekSnotBoX8wjrdvsGwn3KirktrJQyRZpdHXjpUI3mV7XK8tiviPEOfOwD21umN3GYdAAAAwBlU+AOsSFXpAwAAgMMRPDIkpJWZFWeVPz3xGidr9+lWbec+0pNVipger+2UrYXN2vSsKRPkU9etkKxMiwwOSJFXjtRJk8ujTTd0eeS+K5eK1SVTha9fx0B4l9uvhSXVEt97zlyZNSUntvtFCDQHQv2SnaXb0GxrR3ELmX0AhrjnnHvMHgIAwOHcfn0rk6erQChg9hAA01HhD7AaV4NI4wmzRwEAAABbSJfASRJ7eCfNNGY90F2fL6h72I+WvvZS1NgtVhAO+ymdbr8UNrhMHQ+Qam093sGwn1LRGrmNqpMU1Ov3d73+eL32+VXc2C2v5dfLsZpO2XBs4FzPYGG6tfMFACNMmzDN7CEAABzuUNMhs4fgCH0BfiMAVPgDrObIs2aPAAAAAE7n6RIp3SoS8IisuEFk1lniWBkc52ZFKjxysKJNJk3IkvddsEBmTJowap7WHm9SwT67x2FVKGRvWZvWRnbutBz54MWLZNrE9NqMY9VcTE27Wy5ZGk+YGLAXt290uC8Q7Jd4P4KsUqXTSC6Pf1ilwfZen2wrGggNlzb3yNSJWXLugukmjhAAEG+LdwAA9NTkbjJ7CGlbEfBg40Fp7G2Us2ecLVcuuFIy2W4Mm+MdDNh1j4ZV93wAAADAOL1nqk7FpfhNkZZikY4qkeNrRIImtkCI5XutUd999V7NeOMO+EQqdg0EL709kk5UlajXj9VLfadHylt6Zfs7QQh99Vuuwl+n2xfX/PVdHjlY0S493oBUtbnlcFVHysbmNKoy2Z/3VcqTu8q1wCQAc6Tjpqtuz/jfqd480WjYWAAAAABYD1W/zVHUXiT5zfla4O9AwwGpdlWbPSQgaQT+AAAAAMCuWk8ndr/2ijPTQb9IS6GYxu/Wb1nt5SLlO0Q6KhNcgIEb3ArXi1TuFqk5KJL/XFqlIlTbxEDozONVoT/jDH+ejXzaVXAvHiODkEcI/MVsR3GztPb4tODN24VN4vE7uxUpAOt49UjtuLcP/f8PAAAAAGCMnbU7h13eWr3VtLEAeiHwBwAAAGOkUZgFsMzfVSg4UM1v189E8p8fu5KcqjZnlqq9+ixHhRiPvShStU/k2AsinVY4SrN/7NdtaFjT3S7SNX5AwEl8gVDK15Ex1t+Gjf4vCgRT/zw5laoeGRYM9UtxY7ep4wHSVbp1RWzr8Yo/aJ//Z5zGRv/FA44V6g/JocZD8urpVyWvMU+7DAAAYEXeoNfsIQBJy05+EQAAAAAAc/RHr3hXnz8wrare1R8RWXmTOWMZb4xRFx3Dsos2Dp+/eJPItV+IbyyGtQ6OsB6fkVXuAOtz+/RrNR4iBQJYsr37ppONWpXXpbMmy12XL5YpOfbeVN1HNdG4dPX5ZVtRk/R6g3LtyjmyeuH0iPOFYqyKqALeAMxV3lkuBxsPatMNvQ0yI2eGnD/nfLOHBQAAHGpD2QaZO2muXLP4GsnOtPfvSSARVPgDAABA6nXWiBx4wuxRAM4TLcRS9Prwy5V7xLG8Iyp4udsSWIjOO4oJGSX1tPgSrHA3zdsks/uqIlaWyjCybbMN3g6Hq9rlidwyee5AlVaZykr6fARnADvo9QbkQHmbHK/tHBXMGu9z73RTz2BL97rOPjlR2yVmK23ukY5eE6sep2H79cpWt7R0e+WNE41jtl/fVNBo+NgAJGZz1eZhl2mVBwAAUqmmu0byW/LlaPNRs4cCmILAHwAAAFKv9G2Rvk6zRwGkH9XSN1b+voHWsqGQBdNM/Q7rJ2jB5JfF9Pf3y/r8+rjvt9h1XC5pek1meBvGnW/utBwx2r7yREKoqdPl9svOklYtWNfs8sqeMmuND4D1qYDfC3k1sresTbYWNktuSUvM991yqmnYZbUMs1uZbzhWrwWgazvcpo4jXYQDn+FKrMcjhD5VCDDWtuz9On+/UhUo1UlVIgSQPjIs+fsRAACMJ68xz+whAKYg8AcAAIDU66YqA5AaOu3YdNUOVOE88DuR4y/EFxQ0gpmtdpNbYBzrIQQ41JsnE/t/4+zO/ePeHq7wZ8aOvLqOPrGSw9Xtwy6XNfeYNhYA9lTa0iOuIWGo/JrhB/jE+1H72LZSqWg1t8W9P9gv24uaY56/oatPC6nrocerXytzO/JHCHyOVfXPiK9xhQ0u7bQ+v06cqspVJduqt8nJ1pO6vY8BAAAAAMYg8AfYFhthAAAAbM2InWqx7mlvOiXi9wxMd1SJtBQ76Ptphoktfc2tVGRXnW5fzNV84majndkd7tRWFDK5kBYAB2hPoP1ttI/heMJ2qdLaE/vjeuFgjbxVMLxaYaKOVHWMuk61u00Xkb6xZWXG/j2uP4XvB/XdxGla3C2ysXyjFLUXyc7anXKq7ZTZQwIsIyfT+GrgAAAAQLwI/AEAAACAXaUqvFR7UAylWgm76sd5PPYJaQ3jtMejk7be8cML6RRuMBPNytITrSlhdUa8R1UrYj2pKnB6BMK8gdFJ7PpOa1WHTbWadrccre7Q2s4rmXGUiUxlhTpV+dFpdtftHnY5tzbXtLEAQ5V3lUtDb4Np68+QDJmUPcm09QMAnI/KygD0QuAPAAAAAGyr3zpRoGQ2Vh38g8jhZ0VOrI28HKu39PX3JV/hL4029p1uMq917GBLX5PWv7esVXrTvGUjzN2pEKldajhYA6SL2hS0WH+rILFW9DjjdHOPrD1cKzuKW+QvB6qk2xPfZ1Mqv0k58f/ulr4Ws4cAnXiDXq0186unX5WSjhKxM7ffLZsqNpk9DAAAkCZ6fOZtowT0QOAPAAAAAMzQbUTVApvU8AoH49pKRbpqzRyIiLdbJBBnhbnavPgCf2kU7rMec5/7A+XtsuZQjalHc3sDQdlR3Cwn6rpMG4PdFTV2a1WonBJyWnuklgoDcDRfICSBYGjwfe4PRQ/k9/mCca2jvtMjHr91e6Wrx15Q3yWHKtvjfmxmtIhWr9nBivb4FpDCj7FDEdotw3m0v5O2Aq36oWp5bBd5jXlaa2ZVFe/tqrely2vP73iBUECeKXjG7GFoFf4AAEB6eLH4Ren0dJo9DCBhBP4Au2JjPADAKfg/DekqpENFpYwRP+l8vSJtZSKed3byxBtcS4pOf8vtZalbdjTluSJ7HxfZ9TORojdiv19HZSpHhRhlhaK3U5wQHAg8zZw8YfSN/f0yr/e0nNV5QKb4WiVVOt1+qWozLyy2rbBZjlY7d2Nms8tjyHpePlJru9CfCntG4urzp6TiGewrji6qtvDr7aXy2LZSeeNEowRD/TFFOZoS+CxRrX2tKrekRTYXNMmu063yQl51SkO+atnq81GdkllPecvoiqRmtXO22+c9EnOs5Zjk1uTK8Zbj8vLpl21T8UWNd6gDDQfEjqpcVWYPAQAApGGl5P2N+80eBpAwAn8AAABIrWg7eXqajRoJYC267GjNEAkFB4J9fR0ieU+JHF8zcN5wzJ57+l31+j5X8bTVHUo9f+q5jWkdY40v3uuRjIkB15jVOZbNnqydL+ke2CF6w7nzRt1/Yc8pObdtuyxxHZNLm9ZJTiB1O3ldcbYp1Ls6nVPlVbbLcweqDVmX+rPfcqpJnGKsMCDgJCVN3RHbWuvFyv+7Dw16q+B5WQrCdGHbi5u11rzqtLWwOangnd7PaV0n4WaMbW/93sHpUH9IDjcdFjvqCxj7Pm/ra9PCko29ybU2z63N1W1MAABYWb+lfzmkn/LOcrOHgBHUgWOFbYWyuXKzVoGbrhRjyx7nNgAAACD1Eg3jABBxt4kc/MNA2G8oFQCMp0KdlXToXNkhGL3q25jqjogsvzrx+4+1MYKNFIZbOmuylhqY42+R1VcskdlTc0bNs7Jjz+B0Rn9IFnefkKrZ1xk8UkRq7Rir3acjV2ZU1esuWzZLsjL1DTN39ZkX3AScrtvj10JqkyZkybvOmiXZWZmjQqqqje6syRMifqaPRbU0v/WCBWIX/Rb6jI2Fxx+UYzVn2omq9vE3rJ6nvY5Dlbf2mLLjVFV4xADalkbX0meftr5mUWG/tSVrJdgfHPM9taFsg1y18CpZPG2x2EGG08rcAgAA2Eylq1K212zXpks7S2Vy1mRZNWuV2cOyJCr8AXZV/OZAuzG1k3ckdiACAKwk2v9LbEwFEqda944M++khFIj/Pin9DprEsoNJBHJiro6hx2PnO3zyxv7/JDMjQ5bPmSLnL5wu58zoj6nd9UxPnc7jQzxU28mxxHtkb2lzj6w9XDN4PxX4UGGiQNCYgw5UAEaFjDYXNEpHikI2gJOo6m8v5tXI4aoO2VPaKm8XNo36m3puf7WsO1onf9lfJZVxVu2zapjDCZvz3L7R1UK7PaO/V/b5on/+puJlSqbC38+3lMjBinZdxwM4oSqiCvuNF7qt6a6RjRUbJRDlN6bVQqiLpi4yewgAAABpaWv11mGXN1dtNm0sVkfgD7Az7xitmPzjbLzqbRNpKxMJsJMBAJAk1epSBdB3/1zk2IsivkTbQllroy4AtWe2yTl7wENJBP4yhlej0fS0iFTvF+mojD4+NV8o0g5tB+zR15nbl0DIdIT+kf+fjPXfizpwav9vhr+GYywxVfxB3gPJVM97Lb9e/HGG9VQlsPLWXun1BuSvB6vlyV0V8vzBai34l2pvFTRqlcoK6l3y0uGamFtZAumqoq13WEissGH49q/jtV2DnxGBUH9c7bXVctXfZCq0dEcPk8dLfW6ogKPTpCLMF8vXxWQDeyqAqld1VxVCL+8ql6L2IvEn830VKUO7vehUmC8WvqBPTrWdEjuZkTPD7CEAAByK7xhA9O+OQ4X6Q+JP5qB+ByPwB6ST1tMih54SOb5G5PAzyVU7AQBABcjr80X8HpH28oHWlxFR4Q9IDw7cWDXy88ndPvA9umy7SP7zA9+vx9NwTKTmQEqH6BSqQpMRwatB6v+u01uizJS6/592ltAiLhkVrb1a1b6hfIHoAcDyll7Jr+mU1ndCOa09Pi2Il2pqvWG93qBUtiV6kERyDCpoaDsqgNnY5RGXkZ9BNlfT7paXDtXIvrIIXSd04IoSqDpVf6ZlrNLjjS803hehCp0R4050mSqcnK6taOOt6DqeN0806LIc9d7Xw776fbKpYpNsq94m60vX6/pYASvaXbc7apU/K7BapUEAABCbEy0ntO8a1a5qOdp8VDo9qd/eA+Oc7oyyHT5NEfgD0knh+oFqTIpqBdxw3OwRAQDsrGjD8MuVuyPPx44LAEmzyOdI+Y7h7Y5PvRZ9fOo+I/G5OIoKQeVVtusa0Iy6q663VeZPy5Fp3iaZ4ktNaGU8Y7V2VTv823r0rxLlNLkjQpPtMbbKHVndSbUMHU8qAhiRWl4awRvQb70qoNvQ1Wf7EJIK+609UqsFqp7dUynlLcODpBhNtcJef6xeajsSb42K+HS6/VLcOEaXjxhEqhDYquP/M+pzsqC+Sw5VtktfjNUIjf4cVEHxoiSew2gtihOR35I/ON3kbtJOQLq1ZwMAANDLrrpd8vvjv5fXy1/XDq55qeQl6fHF9htfVZCDte2oibCNHQT+gLQyso1vs73K6AMATKZa9p58WWT/b0UqdokEx9jR4ekaCP+pYLnaSR71xxJHTwOWFK0adMArUp47UO3O59Y3xKYq5/U0mx+QG7nettLIzxEBPl2oFo3JFH5NJLR3x4RDcknTa3JZ48titN2lrRFDE2+caJQ/7asSs6iwYWGDi2pnkro/bzsVN1aBPhXsG/p+qG5za+/RFw7WyIt5NVoAzK7KW3uk7p3gmmoN+1YBgZtoTjf3xFRRE/qq70w8YKne2yPp+RruOt0qmwuatPM1edGr352s69Ja4xr5eZ2qNs56avMYf/ABYLSyzrKIO9QbexulL2CtIDntFgEAsDd/yC+Hmg7FNO8Tx56QXr853RgQu0ivUb86AK2tQDuwpLyzXNJNttkDAHTDTjYAAFJLtaVsKRm/mp8Klx/640CrxHD4b/pi48YI2InVv7/mPSly2cdFpsyJfHvBqyLtFQPTqq333HP1W/eJtSIZmSIX3iWy8OIkF5ZMsmbka6RXSifCax/+3ETCfxrTffEHdeZ0n5YLF0/XqifNmDRBa7XqHQxBpDaVNbIlrdLo8khJkz4ViMLVy9TTmZUZ22Op7XDLq0fqtHDIxAmZ8olrzpJZU3LEirz+kKw7WifV7W5ZPmeyvOus2SlZj8U/qVMe9lOtKxu6PDIhK0PuvGyJrJw3Vd4ubBoMCzW5PFrVrEuWzhQ7KmzojloJDcMZEfZreaft9sj15mQ749h1FayeO22iOEW0SqkjbTnVZPjndaraOMPZaLOcGirwl6l+673DH/TL+rL1YtfWvvMmzxOXzyW+YGzVpgEA4DuGcWq6ox+QFHay9aRcu/jalI4HyTnWfEzeu/S9w64r6SiR3Jpcbbq4vVjuP/d+WTwtffZJOmMrCYDxqcojPcPbHQEAELfqA9HnacgfHlpRwUAV+gNgP32dIlV7x67uFw77KaoaX6/O3zdV5YeSt8IX9F12zGOIdb39yS+3Zr+ku3Gf7v5+WdBTKOe1bpGF3QURZ+5PcBPHrMk5smLuVJkz1fxg28h2s8kobe6W3+aWya+3l0p+TWdM99le1DxYCUoF6vaVtSUdOFSV4VIREAr192stGlUorbLVPSq4heSdbu7Wwn6KP9gvW04NVMjq6vOPqtYF53v1aJ2ubWDHU1DvGnXduvy6wekMO5XJjEC1kHb79GkL6+Qdiqp1bn8Sj1mF2JOpjAjrafe0y9Hmo3HtuLVzKE61Lfvdsd/J2pK1WqDMKZXpRgbpCtsLJRAy7jNRbx87/2PyuUs/JytnrjR7KAAAm+j0xraNBsYF+JXDTYcjXq8CZW9VviX5zfm2/W3lFPkt+aOu21q9ddjlV0tflfqeekkXVPgD0qH9Yv5fRXr1b5UBAMAo3Q2jr6vNG/8+Nt9hBzha44mBKnuRvmOO5Hfrv34VLFQS3Ziy/b91HU5KC755Yt+Jl45m91XJqvZd2vQcd4UEsiZJ25RzUrrOKX7jW+uVt+jTPkRtgNxe1DIYtNtR3CwXLZ4RtTpWa8/wyiSqctvtlyZ2VKw3EJTXjtZLXWefTJ+ULfdfuTTmilaJbEBVbYhTIdmNuZHuH88GZzONfE57vdarkOUPhrQAonqPTczOMnTd6u9LtQlVf7eLZ06SOy9bLFMnOndTq6q6t/F4g1yxfJYp61etlzvdPsOqjna4U1epSQVo8yo75Obz5uu6XBWyPlrTqQUzL1g0Xc6eO1WsJt7P1PX5ie2oebuweTCMfNWK1FSA1Vui/zeoYFhdT51Mzp6sVRpzqi5vlxZ8CwfDPrziw7Jq1ipxKvWanmo7pU03u5u1aiY3LrtRnKjb54yDNuzy/Q4AAMReibihp0Hernpbmy7rLJMJWRPk4rnJdqNBqu2u260dlJEOqPAH5yBRHVndYcJ+AABz+Ua3LASg9Nvne3braZHmIrUn+cx3zHQwKpCcodNvEZu89jrt2FctPzt6kwtOnNu2fdjl1a3bkhyZs6kwSY83MOwtqiodGamooVsL+4WrNO0rjz1A2eQypoqYEX+t6bCpwqxjN9R7/K8HquXP+6q0UyKfM8mMvaylR2vNrapNqvf6iTSodNje69P+ns3Sa2Bb1r1JVjiNpumd6pl6UmG/nSUtcqreJa8cqZMX86rl1aO1cqK2K6n/xytbe6WqrdeUahaR2juPJTy+Xm9gWOXRQ5XxtRy2IvXYPAGPBEPBUddvLN8oG8o2yJriNXKi5YQ41YGGA8OqwG2u2ixOtrN257DLJ1oHXtvWvlap7KoUf2h4td149Ph6tLZnah3uVBy0Fafa7lqxknAV2exM54b4AQBAZOpAC1VZ2Rsc+B2yo3bHsNvDrWNhba196ZON4Rsr4HSVe8weAQAg3Q05IgqADZ3eLFJ3ZGB63mqRSx+IHPhL6U5gkxIzM5fpn2rpqhu7VbIDbTzRIKeberSn7rYLFsqly2aOO79qPavayo6U1e+P4T0x/LpEXq1Mh1SdjfQw+t+pumeU3aXDN66p90E8VdvM1tbjlQ63XxbOiK0qoR20jROIU0+5qg6WmRn/38DQj3+tumSxqqzl0tpk33XZYl0qsqnQz4m6Tpk5OUeuXD5LG+eRqg4tgKaoENqBijb58CWJVaRMxKaTAy2Ow1QL7Pesmhv3clSYqqKtV5bNmiyrF04XqwuEw/8Ol4pW5Mm04YzlvycV9huqvnMgVKjanieyPGXzqSYtQKhctmym3HbhQrG6VFZnTDUVvur198qcSXMkK3Ogaqkv6JM3K97UKr4pl8+/XK5ZdI1WXaSxt3FYe9tddbvk0vmXihNVuapGVV+xE7XTWFWym5kzU3vtookUsC1uL5Zt1du0z4q5k+bKA+c9MPg+icfr5a9r7ZHDO0M/svojcd1fPffq9cjJ0qfiqlVbEE+dYL0qqQAAID6+kE87cGZS9qSY5n+j4g1tfvU9R1WU7vDY/+AhO1b2RuwI/AEAAEA/3cN3fGocEp4AdNdZLbYQDvspqtJfX8cY4b4U7qgZUc3EtoFl1bb36F9EbLaDMlHNLs9gyEu9Zd4ubIoa+IsU9otVhg7vwWkTs6XPb722pXpJJKfzp32V0ucLynXnzJXLlpnTytNoKoC1/li9BEP9MmlCcm1irbQLu2CcCnRvnGjQzq9ZOUeuPzfxlpD1XR45VtM1GNJTbUs/cFFyAaHDVR3Dgkyqsp9qhaquH6qwodvQwF80KmDb7PLKrCkTZPqkyOEOVRnw1aMDIZ786k65+/IMOXfBtJQEWBu6PLJ01mSZPTW1LXEL6ru0oNnKeVNlyazYdqrEil8VxnL7AoNhP+V4bZf2+ZDs52KqFNS7pL6zz9QqlMlQgb49dXu0ym0LpyyUe8+9V6swVtJRMhj2U461HJP63nr56HkfHXZ9vJKpEOe0HYrqOdUrvBZJp6dTXit7TQtzzpw4U+47976EwmRbq7cOTrd52qS0s1TOn3N+XMtQQb9w2E9RodG+QJ/WEjpWqqrk0KBpIuHHKZlTxOqteQn8AQBgfyq893TB03Ld4utinj980I06mAbGUt9LXyp5yexh2ArlVuAgVtqMDgBAmnKf2XCcVr3sgETUHBRb6uuMfH3P8Koyuob9KneLKUZ9fiXZ0lc9jjQJ+ynV7aMrCqWyHeB0b1PyC3FImqTTrd9O/LYen7h9Qdle1KIF/9LB5lONWthP8SQZAI30nrfysRAHK9qlJsLfbqxGVhgb2lYzEara48hlqsp+dghKPbe/WtYerpU/7auShq6B9tYjbS0c/rm16eRA8FJPjV0erfXxllNN8tyBqrhapCZic0GT9rpvOFavha/0NN7/IGa0m3W6SMG5RD4TTzd1S+Cdyq2pfplUZdbAO5/fdqtacbrj9GAIr8ndpIW5IrV2VVrcLVpQK52kogqcqlS3rnSdnGw9KUeahhzkpLO8pjwt7DcYMGw+lpKqh7FQO69HGtkqejyqImAyYT/leOtxW1T4O2/2efHdwcLf7wAASGfqt+Le+vi7rditup9qRawOCIrnu53V5DfnR/y+moj+NNlGQOAPAAAAqRWIslMxTb54A5aR7N/cWEmVUIqqqaiNFH59AwOx69c3pdObolCkjfSmMDA21Te8hWw673T7y/4q3f/0Q/39WuUuOwuH+KLp9er3PrXjtxxVjTNRen+tS3U4LVWOVHVKV59/sDVsbnHLmIHaofxB/d8xqsVyOACllr/rtHH/F20tTLxqa7x/y8VN3SlZF5J3oKJdXjpcmzY7XKJRwbLnCp+LOt+ptlNRd+hFMrR6WzoJhALajlzVrlaFJ2MNzIWDeHrwB/3aTkoVIBy6o3XkePJb8sWuVOAvWakMV+pJVdgEAACwIvXbanfdbnni2BPyQtELcqLlhDxf+Ly8VvqaViFPfTe2Iz0PaqrtrpV0wDdWOEeDPkfGQR1qWCvS0ywy9xyRSeO33AIAAECa0bvNbVQm7hzubROZvSKGBBk7sGPFzv7k/Hl/ldx2wQJZMity2zVVeUlVRBtLshVUjCqa1OtLzYbJilb9duqPRVXHe/NkgxbyunH1fLloyQxbVfhLpEJkoo8nFOqXk/VdWuVI1e57Ss7ozZRjveWq2xKvQmiEo9XDKwGodrpmURX+hqoy8LlT1UFjuS5WGeO8L/aVtSW8XJyhqjKebu6R+dMmytxpORHbUM+akpPQ+7CmvU+WzY69bagTqR1v+xv2p3Qda0vWyoMXPCjTc6aP2yrLaKqaXn1PvdY6du7kubov/2jzUS1sp1S7qmX2pNkyb/K8cceTW5Or6xjWl63XqjMqqrrKh1Z8SNflwxgZVv+iBgAAbElV6X6r8i3p9nXL5Qsul/cuee/gbeVd5VLRVSGLpi6Si+ZcFPX7SLO7WY63HB884Gdo+2F1WR08dNn8y8TJ1Pf5ovaiMW8v6iiSC7MuFKcj8AfnKHnL7BE4Q0uJSMErA4flZ08UufpzIpNG76AAAEA/hD+QhkyrWKcHC+4AaR77x31SyreLLHu3fsuz6dGVdv10z7DiezVC20/VZrPJ5ZHVC8beMR/W2u2VF/Nq5J/ev3rUxj8VgHr9RL14/ZEDf51un9Zi0+pUCOzNE6lpUxhuKZlKuSUtgxUC1fSq+VPFSdp79WmtouwoaZZjNQNVI0/Wu+Qz710hmZmx/d2+fCQ9jtR2IlVB8vxF0T/v4uUNpP7vW0+qaqoV/75fOlQ7OLbLl8+M2LJ50YxJMnfaxLiXr1pbp3vgzx1wJ9X2N5aDKFSo8GDjQbntrNvGvO/RpqNiJDVWFYZTgT/l8vmXy/VLr4/r/tGqlOQ15g27vK9+n9x9zt1jzl/XXRf19YjnQBVVQSQc9lPKOsu0Fs0TMifEvIx08pv838j7lr9PLpx7IQcEAQCAtKC+r4ardKsDVS6Yc4HMmTRHq2q3qWKTdn1xe7H2PfW6JdeNewBPtIOIVMVppwf+VHXv4++EHu26XVgPtPQFnKjxRHzzB3wilbtFynNFTr58pgePasFYvS8lQwQAAEhrZdvFtoyueBDLDqCCV1Oz7qA/tsce604qVUU7Var3i+z+uUjeUyI91m0d3O1Jr9BjNPk1nVLe0qsFxNR0rFx9o5/HrUVNY4b9lIOV1mzx19Hrk27Pmb+1spaelK1rrDDZM3sqZNPJBq1CYrzCO6lVUFGdhragVW1HVaUsJ3l2b2Xc91HP69DXOCwc9lNcfX4pb03+uVJV3t4+1SStPea2Ah7rf4W2Hq+UNndrVQ2tRIVhVevfP++rlJ0lLRJKYXZOVb+E/lUf4w3MqPfgz7eUaKf1x+q16rCq3fPQIOLQv9Ghdp1OvKWnVWI9nqBLugNNEuq31t+iXlX4VIW78YzVUjZVlf9UGC4c9lOOtRyLGmgM8wV9WpveeKnKKervInwaaXf97qjLaPO0yYayDVo1lvHWo3bMbqoc2Ek7supIPNR6CtsKx2zXnChVMWZ79XatAkqk5yLWinbqvj0+/b7XbK/ZrrUIVq+xlcSzc3hoFcmrF16dohEBAAArSfRghUrX8O0pR5qODAbXhirtLJUXi18c9zuoqiat14FGdjVe2C+dUOEPcKKybSKLLhXJmRLb/KfWibSVRb6tpVjkPNoPAABSiKO5kY4ajpk9Ahux0meEAS191Weien+420QWXSYybX70+/R1nAmR+j0iFbkilz4gVnSoaniby3R3oDyxEF6k1rzR2rCOFwY0Mu+rwj6BUEhr36qCWSfquiQrM0Pef+FCOXfBNHn9eIMYrcPt106qYtXC6ZPium9tR5909flle1FzxECh0V9zml0e8QVDsnTW5KRb0vXEGNCt7/Roz8HMyROkxzv6ffjU7grtdb9k6Uz5wEULtdBbUWP3qPnUa5DshvT95QNtXYubuuXzN66SnGzrHOtc2twjb5xo0IKg0ydlyyeuPUusQr0e+dUDoePWHp8ctvBn9cGKdi0gijOauz3y1wPjB7zGCxyWNfdo789YQ4hqPrVOFXA+a06M2x4tpN1fJVWeA9rny9SsuXLelFslI8M6nxV6UME9t98tUybE9/o8ffJpeeSSR2RSdnz/F0ZT3V0dsSpJLC1v1Q7Pmu6auNfpCXpkXek6aehtkOXTl8sHV3xQJmZN1AJ6vf5e6fDE9jmn1q3aon3qok+N+n9VhRZVC2VvMPmQeY2rRl6veF17X+Zk5Yh/5IFHCVJBy3DFmML2Qrl03qWj5qlyVWnrPWfWOdprr9atHve0nGmyYMoCbZ5gKChvVLyR0GsxnjXFa8Su1PvphqU3DF5WFXqWTFsyLNwKAACcRx2cMXPi6Gro8SrpKNGWpSr8jaQOiNhTv0fuO/e+hJatKk0jPRD4A5yq/qjIimitEfoHqpaMFfYDAACA8zRErugROwtW+HNSdcOaA2fCe3VHRK77R5GcKC1Bqw8Mv9x6WsykQgOvH6+P+NKpUIFecgI94sueJqmUFfRIMEvfnd52luyfo6oedahyYAf70tmTpa5joJKQCkC9VdAowdBCSaVolcV2n27VgljxUMGous4+CYT6VSmfUbf3ekeH5lTQsaihW9599mxZrmNYRgWh9pQOVN5SLVPvuHRxUstTwa9YPXegSh68+qzBdsaRnveTdV1ywaLp8lp+nfiDY7+ZVHvqUw1dMmfqRFk8M7G/P7VOFSZVz7FVDG2praqdHqmKvarnyLaop+pdMntqjlyxbFbMbZDHo1qL24F63sLvcSt/XYiV+uw7VtupBbJV+9xEH0NucUvSj3/TyUaZnJMVc9XO5w/UaNUAJ02I7T7K3rI2Xd6vyarsO9P+qjfYJl2Bepk1YZnYzdbqrVpr3LEcbz2uBd3ernpb2+F33eLr5OJ5F0dd7qm2U/Kuhe+SVItWhTBsR82OhJbvCXikITBwEIEKqZV2lGo7U4s7iuNelgoIqna9i6YuGtWWbbywXzyh9W012wbn17Pi3cjn70TriTHnOdJ8RP72/L+VtafXaoFIVenuluW3aG13VShQ77CfVcVa4e+hix7SQn+D98vI0P7OXj79cgpHBwAA7FrhL5JIYb8wdRDBG+VvyPvOep9Mzp4c13KHViE2mjpQxBfyad+TMh12YJUVEfgDnCoUY6uskHVbVwAA0oUN984BdlY8ut2UtVnpMyLCzh93u74pg6HtntV3+so9Iud9UCQYECnfLtJeLjLrbJFzbxPJmjAwX5ztwlLpWE2nbCtKYeviITIMeG9k9gfFir+Y7BhsUcJhPyUc9htqX3nibSLNajtd0do77u2RKqWpsJu6X3W7W7548yqZmB17YGY8Q4NQxY3dMnVitnj9Qa1y4qr5qQ3HqsDSnrLor9/aw7Vj3tbl9svhqnbZWRJeTresmJd4INIVoY1wolSo862TjVr1xBvOnadVK4wW5IpGhRoTeUxr8moH264Ggv1yzco5YiQzP36OVo9dkSuRltxm21rYJAX1A607ixpdCT+3qtKo0cLvwXifdxWstpquQJ1lA3+qSt94xguvqRZhKlSnwmrKrrpdsnr2aq163HgONB4wJPAXi6Ze/cLIubW5Sd0/EGFbu6rKopfw66S3Tm/s4XJV/XBjxcbB6oeqorRquzt/ynwtDIjhhob9xqvCDQAAkCjVBvhk60m5etHVcd1vQuY724wNpioWqpCiqpC9eOpiuWPVHYPfmVRQUj0e1W549azov0uS1S/9WvjQ6YhUAk7lifXHPD9CAQAmU20r7ZpcANJRurUEUIG+8Rx+Orbv1Im25XK9E45pKRKpPTQwHlXNu+mkWJFRYb9UmWSh9p/jeWZvpVaNKRAMWa7IZZPLI0eqO6JW04sk3b4OqFDY8dr4Q1+xHmF+pKpDCxO9ll8vhQ2ucavq6eF0U3IVPFVFvjNhvwGVreOHXYyyo7hZa1vc5wtq7Zu9AXM2Gu8vaxsMWiljVbtzqlhbztpFOOwXbsuu3l9jaevx2TLU6FSqouqf91dp1WlT+bqoCnLRqtiNp7XvzGdEqD+ktceN5f8TVWlEz8oliYYdXyl9RaxC7bSMl6oKaDeR2tGqtrvNbnt/x49LDN93L5p7kREjAQAAFjRWV7XJIAAAtqFJREFUwD+/OV9+d+x38szJZ6Sup86w3wSxfK9WVbwjfc/Tm3oOwt+bG3obpLj9zAFKqor0mxVvSm5NrqwtWWvI7419DfvE6eyxJRtA/NRRh3p8UBrRtqyzRqTxhIjfWRtuAQAxOrVe5NAfRQL6ta0BkEL1ybYEtlkCyNM1/nfjWD+7qvYk9/gLN9i8UqM9LBrZPtSI30MJUgGu8ijV5YymqqC9cLBGay+J2IwX8IlGhUzCQZNolQZVQDTd5Fd3SlmLPm3Em11nWjaq9s1lzZGf726PX2tpniqR2iw/kVsmL+ZVaxUSjWB2CChdqc/XP+2rlJbusduHmvl5ZGeJvKNV2La126u1186vSaw9dyxa+sz5//SV06/Iztqdg5dVAHB33W5t5+WfT/1ZTrSMbgurt0NNhyz1eXO85Xjc96noqpBUiiXACf2pajRXLrjS7GEAAAALBf76An2yt36vBPuDWgU7Na0ntXzFH/JrobpY+YI+eabgGdlRs0PWla6TovYiSSVVjXAo9RtCUWNucbcMq0Jd4Urtd2WlrLNMnI7AH+BkvTFsFHJF2RDt1Wfj+Jgajokc/YtI4esDYY9EK58AAOytp1mk5oDZowCg13dMXZm8o29o6f+MMdpuRtsZ6e0WqUrwiMII7cMGVewSaVcbR6Ksv7dNZM8vRY4+N9AaWA/qd4RaXv7zA5/hJljiyte9nXHmyICfhXY0R7LxeIN2boUd4qFQv6zJqxlWfQzRdbh98vSeCvn5lhL564HqmMM8J+u65Pc7y7Wwl2qDu7VQ37/DVIaKjLQ+v14ausZud5oRSxmfOI7of3JXRdKVDhMJadV3euRARVvM93lmT4X2HkrEsRp9qlIifr3eoOyNoXU2jLWvrE2rApqKSn/xtGONRTyfeQVtBVo1kBpXjbx6+lUt8KZ2Xqq2r6o9sGrXpYKAiVS+i0W4raxVqMerdrCGqefBqlT1lmMtx8QbdMb/5UaL9nfyN6v/RmZOnGnYeAAAgLVE2ganvi8PpcJtT598Wv548o+6hM5UhT5lS+WWmMKE4TGOnHdb9TYxQ6QxDw0ARtvWgrFlj3MbADtTH+Tj7RxUuupEjq+JbVmRKluonYWVuwZ2+i68eOAUr6I3hldPaTgusuzd8S8HAGB/lbtFVt44/P+Z2oMD4fOl7xaZOtfM0QEIyzD4uDErhYcys8YO9OlRFbG7Kb6WwupzMxp1QM3B3w9M+6pFdv6vyPu+JdLTIlK2deA3w6r3icxcKnG9JgWvinjeaUV46jWRaz4vRlvYUyh9E2ZL65Rz5Zz2HSlZR4YNNjSp1qIbjg0E/8yuPpUsdxpWlypv6R3WDjm3pEVWzZ8qNe1uWT5nily5fJZkjPg9rsKVW06d+bwY2QZXD3/ZXyVOsb2oRT5x7Vlx38/tC2htVOdOy0lZeCsS1ao7OyszofawH7x4UUzzdrj98nZhk6yYN1WmTWTzsF0/M6Cf/v6QNPmKpTfYIjOyF8u8CeeO+uwdz9HqTq0C5wPvXqbruFRFDrNDbttqtkXc8faXU38ZnL5+6fVy+fzL41q2Cs9Vuark7Blni108X/i8XLP4Gi1QV9xxpj3ZWMY7IEM9tzNyZkiq7KnbM7hjGPoG/tgRDQBAeuvydsncyXOjHqgTrsqXW5ub9HfeUH9IW16lqzKu+zn1+2Btd23UeYL96bGNkS06AKJTOwUvf1Bk1vLh16tKTNX7B6bbykSmzBOZvjC5dbWXE/gDAAxQQZS6IwPTTSdF3vsVkawJknZU8FG1Au3rEFlypchs++wQgUMZ3uI0jXaoHHlW/2WWvDX6ulBIpHD9mcp8x18QedenRSbNFMnKHl3hsCF/oHXxkitEJkwW6Wk6E/ZTelsHQo8Tp4vRVnTslayQX2b3VUu6UiEfFQ4z2/Zicyo9Oo16LcOvpwr2TJ+YLasXDv/bcqegipSTNXd74r5PR69P1hyq0UKoOdnGBt0f2zbQonFyTpasmDtFbr1gYUrGoHIoR6o65Kbz5uu+bMBOQhKQ9kCV1HsHWrZ2BRokJ3OqzMxeEtdy1Ge3LxAy/DMj3h2F8er198YULos38KdsLN8od6y8Q1bMXKGF41RFuuzMbO1kRT3+nriqohS2F2phyEjWFK+R+8+9f9TOYidXSQQAAHCCTZWb5N5z75Wl02I7eNoT8Mjvj79zMHYSvAFnVm9WB9OcaD0h03OmSyBaMasRrYLHU95ZLunAur8+AVinGorayXfipeHtzJSKnaODGQAAe1DhMVXl9fAzIq0DOxUtJxz2U9SPGVUFNh2parpVe0WaC0WOPT88ZKNHmFC15VRVFGGc8Sq22YLBgb9o1fOcFHYc+X07GSfWiux9XKTxxOjb1BGmQ9vwqjCfqgKoAoe+EcGx4jdFSjaLlO8QOfqXgd8Y/r7Ujj1Oy7vyUrbsDNG3ZXAq5BYb3WY7MlV1Dvp7/XiD9HiHb/CkbXJ81NP17N7KUcE/9Z5VVfxG2lvaKvvK2wYrTqoAjxlUq97Chm4paYrv/0E13rKWHmntib4zIKAC4CYob+G7J6yj018rVX0Hh11X2ffOAc5xivb53NxrbjheVRcpai9K+XpUK+CjzUeluL143Cp3ytbqrdqOvTcr3tRanj1f9Ly09jmndfWTJ54cs3rjvoZ9SS8/2vOL+EWr7jleBcApE6akYEQAAMBqdtSkptPIeOKpQG4X6nfDa2WvaW2P85vzY/4d0O6x+/4V/RD4AxxNxx/8KmjR9k4gRG0QromwU61vdLlaAIBFnd4yUJ3V1TDQllF9zqsg2an1AyGR7kaxnHQ9Oj1cTVdRG/Ork98pMBjwUeGew8+KHPydSGeNPstFdL3WCOfYhrvNOt+pTQy1xa319NhhybGqu6gQYP3R4dcNDQyqSn6d1SKnN0vaYCdqzAEj1SIUqXGocviGzOo28ys62k17r0+e218tnW7fYJhOVfCr7RgdYD5Q0S7FjdYJm4fbN6uqg6rt83j8wZD89UCVrM+v1x7v6TjDgkb5/+zdB5wb5Z0+8Edttb0373rdK8amGTAdUwOElgQuISQhIYFLSC6Xy6X90++SS++NJJBASCFAEjqEEoMBAzbuxsa9rNfr7X1Xff6f3zs7Wkk7arvalbT7fPkIa6XR6NVo9Go088zvfW6XyRD2lLDjPS5saexW6zVNDL/mRYf3ANo9BxBI4VBQzxxO/zZUMhXqxsIf8OOhPQ/h1WOvqjDf68dfjzm9VPWToX2N4cn6PH2q+l1TfxOmuiO9R8Y9dPPjBx5PYYso0nULrht1W6mzNOr0MkxzQ1HEKElEREQ0JYf1nUyxTjjIZlvatiR9AksiFcinEwb+iKYqCXGk+uCUEf6QSkP7nht9/xRMlhMRTenvCYOUyZZAx1uPAy1v6iGRrffrAe/JFrPS3DT8nulvM6/OmArynhsVviT8t+/Z1MyXpr7pvM03hmHQMr6CaqTQKt5mvydcPeZVKkOCrA7/IJy+FFYjTSPLdBpSeoykStr9G6bvkMqTYfOR8JPrPP4p0helwRPbm9W/L+xuRXNP8kP9ptP6iOBntCG+jfCtVBp7ekcGnsQjXxnuLArQZ6C/bmjEmrdaVbizI4FKjjQ2h4c24IhrA7b2/w2bev+qLrsHno15QGprYze+9ewr+N7zr6lKm9PRvu59auhbw6aWGNudw15rHltFxbVH1+LeN+/FPw/9E9nsQM/Yhxtr7OOJexN5QL2usA4rqlYE/377vLfHra5zxdwrJrR9RERElBmkGt26Y+uwq2MXppt+Tz/WNa3DxpaNCQ/Da0ZO9kmWVAanEfaQ60Q01Q5GHnwxtfOU4QSl4ofZEF4pwwNqRERpIRX+ug6P/C19fecBoHLB5LZj3c+AhtOBBZeY3DnNviMkXG9WUTdVgaOjEfPuY6UVStR0DvxNkX5ItusT0R3yvWB464noQfLKhagY2IcFnS/AogXQUrgUB8vPQzZj4C++fW396OhnlSnKDq29bhXIeWucFfzW7pn84SZ3HosfpI6s6OdLYKhtDgeZfYxhY71+Dc/vSu8QsdNB6GdkwN+JAX8bCu3VptP+ZceT6PAOV6rbfAxfv/T6rB56S4blTVbH0ORV597RvkP9K0OAZbMXG1O8D59S6tz6c9UlUXYrD7vSaJV5lVNquHIiIgL+tudv8KewGngs64+vR9tQZowaFNAC+NvevwUr7XW7unHx7ItjhgNTWbmwdZC/gUOxwh/RVDYRQ/NNaNiPiIgyij9N1SIk5Dbdh4mXsKVZ2E9M9EFZqfD42p3A+t/qQ3fSBMjeg35K77HJfb63nkTWS1d/Ol5S/TNhet+0oGONCvuJmv5dyPWa9+cWzY/SocModLdk9qeTQZgw/a7RZ+02dfM3ImWXf701/p3DLu/kVqhrT7CK21iCRX/fNPWHzZzK2AdPvj2Da0xv9waGgmE/cbDvTfS7szsQf7DnYLqbMC3YrLZ0N4FCZHNIlzJXgaMg3U0gIqIUm6yw31i2zSUcOFHBuEM9h8KG1d3dtTvm9A/secD09kQqgVN8PNWEpoakDkRR2oILzVuB/Apg9jkAd2QQEWWYDAs0SOhslGmy07VtD7Djb6mfr6sXaN8DNL6uXzcT8OtDO3uHh7jb/TRwxkem9xCuRKlwbAuyyppvASe9O7nHDAfjIivilboacdxROmrapa1PoNitDzV5uHQVmotHhsrKpAN8rPAXbktjN1YviahqxEVENOH++JpJxdUUOdI5OGHzJppOXIHRv7E8fg92dx6CBg0LSxempV2U+cZS2YSIiIiIKBoZZvehPQ+Z3retbZuqkF2dX40zZpwBh9WR1Lx7PfFHHwjl8g0fa4ogv5Fo/Bj4o+wXCACb7k13KygWqdK07YGR6hjy77wLRsIERESUfqkaJpbGb9ejqZ+nZwB44+743709jeHTDHbowz07clPfJqJssf0hoLAKWHL12JNNfi+yztb7gbmJD8crO2k0k6Ejqwb2wqr54bM60VqwGLBYUexuDob9xOzu1zIm8BeJgT/KJB5fAK/sa1fBS5peEi026vVzm55oMg34O3DMvQ1W2FBirxt1/wtH/4WWIb2K5rpj6zCVrT26FufVnzdtztNLJVaUm3oumX0Jnjv8XLqbQeOUY8tRwW0iIqKp5OWml9W/zQPNaOpvwg2Lbkhqe9Rs2ru236X/FkiSO1tHxckgHNKXsl/HXmCgPd2tICXKl8Ghl8P3Th8e3sF1jKVaiYgyhsessgd3OqdFvGBQz1E9hJeMI68lFrSPFvzsOqSHnvY8k/xzE00F/W3A/n9Nv+FdD76U0GT9bh+e3XkcP3l+dHXWAk87ZnWvx7zOlzCn61V1W5G7GVljur3nWTC06XS26UgXw34U0/Ge5E6sZBdHNHaapuHA0Mvo87Wix9eMI66No6Y52t8Ys7KF2+fHkGdqfI/uaN+BYwPHTO+LN5xYgCcg0hSzqGwRrpp3VbqbQeOwuGwxrl9wfbqbQURENKHah9qxp2vPuOcjAfnnjzyf9OMa+0Z+L9HYsMIfZb8e/SxJymDHt5vf3vZWYgdXdz+hB1HmnAPMOCnlzSMiohh9tZCgWNMbk9kaikUOhrz0Q73iWPFMYN6F8Svwdewb+/N5B4Gtfx0JA2p+YPEVY58fUbaS4KuzKN2tyBhdgx4cbB9Q0XC3L4Ai9GDpUOwhHWr738Sh8nNgyaKESZ6vCwPOqnQ3I6M8vu0Yeoa8avi5CxdXobGLw4FOBn9Aw6v7O9LdDCIiku0gbyOOujfCGxj7yVCtvS4caB9QwduaYifmVRUi2z2y7xGcXH3yqNulekgsfZ4+TFd7u0afMENTw+zi2eluAo0j7Hfx7ItTOk8O3U1ERJlKgnqLyxcnPH2Xq2tC20PJYYU/Isps+58HepsBVw+w+2l9SEIiIkq9gG/0bUZp7m1/TbjKU8pM1yFt+kaGuEwoFH9sM/Dyj4A9/wTc/dGnHewce5uOvhFe+e/YlrHPiyjblTakuwUZU9HmreN9Kujn8gWCg96WuBI7GUuG9M0WM/p2pLsJGWdvSz9ae91o6XXhn28ex4B7alQmynQ/NamgSURE6XFwaN2Yw35S1W9/az/2t+lhP9HS654yFXNlO5ES9+zhZ02rPxLR1KIFfzUTERFlt50dO9PdBArBCn9ElHkCfn3owb5moPPgyO0SNpBgw5xzRz+mrwWQnSOlszIrJCJhxcbXAEcBMPf8+BWYiKY72TG891mgbRew9GqgfF66W0QSFOs1H5ZnQpnt8M6k/n2ivPH7sT2uaRPQ3wqc+r5UtwiYxtUWJoyfwyJnLYst3S3ICAPjHHoumwJ/fTk1cac5f1EV1u5pw3TUPRhnGHoiIqJpTKohL6oJrxC953g/+t2jT7iT6rm5juzf1mSohYiIiIgo+07aCWiB4PC+i8oWwWbVf5s09TfhX0f+pYbtPbvu7DS3lCIx8EfZTw7+cz9ChtD0ClCd+4ESqX6i6VWBoooS3JCw38G10cOAkRrXA/tCxoWXYX8lXOdM81AYfi+w5U/6v8aQiMuuS2+biDLdlj8D3Uf06zKE6MoPAkW16W5VdpPheHuOAvnl+kUkfMa9BfDEqBo3kRKtKOju00PfRTWZPdRm+17grcf1SooLLzMfot74vhgreZ+9Q4AjDykl84wUCABWFgsfs9CKiZRd+lvS3YKMMJ0O5A7kVMad5rTZZdM28EdERETRdfR7EKjWYB0+ec3jC5iG/cRUOb1tf/f+dDeBKOtU5lWifag93c0gIiKiacoX8KnK04d6D6m/D/cexiWzL1H//vPQP4PTrT0aJb9BacPAH2U/zyDX5Ewx1A0cenmkst1YRQv7RRMa9hPNWwFXN3DyTUir49vDwxutuxj4IwodilR2eBdEHEQ3wn6h1c7mnKOHo3JLJrWJU4IEtWQZyrDoVjuw/F1A+dwkAn/JhAMngVSwCzXQAWz+gx5qlAqqp7xv9DqVSZUrpZ1CrlcvA2z2+MMqJysV84gkFXcj+T2AdZpVrW3fB3Qe0KsJVy8Z58ymyuG8aSiyH5osa76FTGKZRuuwZRqFG4lo+vH62ccRTbTuQY8K/JXkORDIpN/XE2TAO5DuJhBlnQWlCxj4y1C59lwOu01EFGJuyVxV8U2qvdHU8fShp9HY1xj8+0DPAdz/1v3o9fSGTefXxjfqC6Uey3JQ9usKGfKVsofPA/QdH317R5yzQA+v0ysA+uIMhdd1WK8+FMndD+x+Ctj1GDDUhQnl4Q4uIlP7ngM23AWs/61exc+w9znz6Q+9oofWxlv9bDqSKqsS9jOCYNL/KQkeZMi0IXRlmPejG0f694MvjoTo5N8DLyAjyY5B430Qsi73RIRblRQs7/EeQDq+w2Sepk+EaaXrELD9QaBpI/DmP/RQ/3gceTVVLSNKi67B6bNTz8KKnEQ0he1qDt95T0Spt/t4P3Y192F/G/cTEpE5S6btf5vmQivaX9RwEWyW8Q+3Pp1OmiOiqcFutWN+6fxRt88qmoUCR0Fa2kQTJzTsZ4gM+1FmYuCPiNJj+wNjf+z+NcArP9UrCsZidnaBHKQ/tkUPNGy9P7MqVxFNBxLKatww8rdUyzLCt0c3xHjcENC8Lbnnks+3VBuVKnDT1fGIZWaEzpLq+zKsn9z7DLB3uIR42+7Rw+amg6yfElh960lgsBNpNTTO5295c+xVz+S7VYZYnoq2/CX8712Pj31eElhN93pCNE5Hu0yG+k5UlO8gh38QmSnDvgeJiIgoK7X1ueH180QCItKrxhlq8msYBstgc0rm4D1L35PuZhARTaoLGi7AbStuw+VzLje9P8+eN+ltIiJzDPwRUXp0j06KJ0UqVUmlv1hkaF+DhAMl7NdzNPw2qfSXbOhPppeQklT7kUqFUjWQwUGixJhV1oxW2S/SQFtyz7X7SWDjPcD63wCN65N77JSXpUP6GiS4nUkk/CWBVfne2fKn5JeZZ1AP2vWbVL4dSzBtst8z+U6UKpzynbrhbsDFM79i4nAHNM1VDu4zvX1Zy2OwmgxLbg14UdtnUn10kljAA/NERERTRSDNQ1B5fNyuICLgyrlXor6wHrOLZ+PiWRenuzkUR3FOcbqbQEQ0afLt+VhctjjmNKtmrJq09hBRbPY49xMRZa5jm4Hckuj3N28BZp2pBx+2/dW8mo4ELCoXAdVLEgtkyDwPvDj6vsqFwLJ3ANYEctTSHqkGZcsBbPaR2/qaASkPX1QTfx5EU8lAa2LT9TbpQ9LmVwD1K2N/3uTzHloRcN/zQOns6ff5MglOKAkHwuQM4wwM/GWajpDwioTAJQBXMbrcfdSql2/crT8uVXoagdJZqZtfvINiUtnQGPJSvt9kuNpF5mf/EREt6FhjenuurwdlQ4fQUbAg7PYlbU+h2J2CQHQSGsry0DhcxTDekL7L6njwh4iIKFv0+Sd3myLSkDe9gUOiqWJuyVwc7DmIbFVbUItrF1wb/HuhbSHWHVuX1jYREREtLFuIs+vOVsP5GqwWKwIh+8ZmFc9CjhzfJqKMwAp/RJTdDrwQ/T4j0NLfEnvovJ0Px38emdfm+8zDfsYwkjJMsVSdkqH6ovH7gO0PAa/8RK861j9csWzPP4GN9wJv/A449HL4YwJ+fYhE+ZdoKpJqYMZnId6QofIZk/CeBIpi6T02+rZN946/umi6tb4F7PgbcOiV2H2N6NivB5VNTYEQXyZWHjR4IsN7MYZmkcqAqQz7GSHCUH7vxC7ryGF8W9JXiWtCDLSneIYZvO4SpdnC0DCgpqFyYM+kh/1EfdnI0CQWfmaJiIgyjjvQhz2Dz2NT71+xvf8RdHkT+63f5jGvNDxZGjv1EwqIaHym2hC4BY4CnF57erqbQURE09xpNaep76RQUonWJsVqAJxcdTKKcorS1DoiMsMKf0Q09fkigg9mQQYJEFWfABTPMJ9GqjXFCg2qaQ7qFwkaLbnSfJpN94wEm1w9wKG1wPyL9WqFhoMvAbPOAqw2PQQiQcK+FqCgEljxb0BuRBURn1sPczgLY7ePKJMdSfIs1oNrgTnnxJjA5OC8hGb3PgOcfiuyUt9xfWhy0bYHsDmAhjNGT9e2W18+sUJKiYblLJbMDdbJsOqZqmkTMOOkkBtiLMP23RPQAC1OADEFZP0qrtO/q6a6w+uir4Nlc5Kbl3yvH3opJc0imppG+q/5nS+iamBP2g8gxqvwZ5HvSiIiIpo0mqZh3+CLcAcG1N/egAuHXa+hyF4DuyV6tZEe3zH0+tJb4Y+IMls6t+0l8Hdy9cm4b+d9cA0fz6jMq0T7UKpPQqR4tEk66UtCNQNe/buMKFV9mGwnEaUyUC9V/2YWzVRV/oww4FQL3hNlM1b4I6IpbHjDdrAj/qSN64GN94QPATrQAfQc1cMuQ12JP23z1uGnNzk4GFnFTEI7MkRpJKMa07FNethPtacdaHpjdAWvV38OrPuZ+XxSQSqqrfkW8NIP9AprkXweYN9zeuVCCUYShQbsDr8KbPoDcHx77OBYy87UPne0g/Nm63C22Pts+N8SVI4kAeCdj8YO+6nKgAn+8I8XdE4nCW+aaU9xxQZZprEq8JlVjZRwZqLrXSLVLcey/rfuGqmI+dqdqX+OzX8ENv5eD6+Pev4s3rEk1Qp3/B3YdF/8dWnLX4DjO6L3f/J42Y4IXS7SH8r7QkQxOX19aQv7RSr0xN524M50IiKiyTUY6AyG/QxyALLDG32f1JC/B/sHeeIN0VQxUYGslTUrkU4OqwNXzr0SdYV1KlwhVZVo6pJhMxmaoVQqc5aluwk0ReXZ80ZV/iOizMAKf0Q0dQ11Ay/9UA9rJOqtJ4AZK/SD8XueHntoQQIA0SoCJVSlavh5ZdjOUEdeB+ZfNPK3DAUsgTshba47FSiqQcp4BkaChPI8G+4GVn8hfBqpJCZDUoqOfcBZdwBOlnSe9mR9kWGwjaBTT5O+rs+cpOEpYn12pW326Gf9Z6xEwsutO4GAL/Y0XQeBoijVTCPt/xew7HpkpGhhxO0PAnUnA+XzgapF43sOqdoqVRXle6R2ObDkKr3qYWTwLZ7G180rMZbPw4SQfjuZ776xkrCi0f+H0bI7WCvvjXjz78DZnxj9nofa9Rgw2A7MPkevummcMLD+N+HTnfNJvQ80C0gSZZmeoXEOE56AAs8EhKHNLLjYPEAfET4kIiKi9JKAfZt3L3p8R+HXzH/zBjR/1Mc3e7Yj0/k1DQfbB+Dy+lFT7ER5gTPdTSKadgod6R9Bp7agFtctuC74t9ViVaFmmnqkguM1C67BI/seSXdTiDKahKG9gYnfF0VElI1Y4Y+IpraxBh4kLDGeah0SABgPqdon1fvMvPYrPYQiIoMDLVEqDY2VVGczq1oUKjTsIcvM7DE0vXgG9YqZkVXNJAgbb4jtydD2VrpbMHEiP59mtj2QXCDLqFqaTSQAveNvQOs432upXmp8j0iVyr7mxB8brzqitFHmOREmI+xnaDQJ/I3l61OW15Y/A6//JnrVvMlghP2Mz5MMzxyPfO9JAN+oEBgZ9hOv/ATYOzzNdGHluWVTTUDT8PrBDuxs7sWUUFIPNJwRO9QrH2t7ccz7C5xc14mIiCZan78FR12b0edrw6A/2igc0X+IdHubkOmauoZwvMeF7kEvdh/vV8E/Ikq9RWXjPDl0kp1YeWK6m0ATqL6wHmfVnZXuZhBltBsX35hUkJYmHquTEmUOBv6IiFId1ksFvy/6EL1SuVCCBbECia5ePTAoQ3u++ktg1+MjlQCT0XfMpG1x5uOeIgeBaeyaNkavRhctyJpyMT4fUr1TTaLpw2erIW6zgclrklDbWD7bcaoZhcnmobp3jvMM2cihkTfeq4dZpR9OpEJqPNI300g1ya7Det8h1XYlOJwJfEOJTSfhTXk/1/08+jTeDAg8T6Z41UYp6zR1DyGQxQU8R0nw5B6vNTfm/afO4pA5REREE+2Ia33caWJV+MsGXn/4tsmRzgz5TUQ0xZQ4S9LdBKIJHZo6UefWn5vW5ydKdb/9/hPer6qkEhFNJzwVnYgoUjorC4WSKkHRDHUBm/5gfl93I7Dtr3qQKTSIIFVM6k4Bjr6hD1mYWwycfBOQN8kHKaVikgxDYAx9SFPPkdei39cYfyd9SshnJBoV9PMBux4B2vYA+RXA8ncB+eXIaNLmSNL+yj1A7YnJVeNreRPTgvQ1Ep4uqAbqT41bxSkhvc3AkVf1octj9dNZfrBp0oNe7XvD3zcJDs89Dxkh0fDhRFVsJMoQR7sSDMCOU4nrKBa1P5exoVRbwIPywYPw2vLQnTcLeXAD7mnc5xMREU0wn+aGJxB/O0TDyMl8rkAfjrtl/54Vdc7srI7V0e8BatLdCiKi6TmM/GQPV5oONfk1uHre1VjbtBY97oiRpIiyUGFO+odlJyKabAz80fRWXAf0mlQwI8oG0dbdvc+Eh/0Mu58GimfqYT+jCuCGu4FzPplc+G48P3ilzTv+rodkJHw4f7UeAMzJj15d6+BavX1zL9BDirHmLdXjJNhYPg+TRqrDuboBRz7giF0BZvqYpJ0iUtnOngN0HwEOvKivJw1nAgdf1ENZUZsXADr26WE5IRXFJIi4+G3IaNGCCVKV1Aj8RQ6jTPrQucb73nB6+H3S/8gQrrYcoGJ+eCAwVnDVmGcsMvR62RxMa1KxT6oseoeAeRcAs1Yl/tiAyfdYumRzlct0cxYC7v50t4KyrPLAktYoVa5TzZXYAQ1LSHhAtoNPbHkYeV690mtucQXwin7XyqP92Fh/MzSLbUKaS0RENF0dGHwpoemMwJ8ENfYProU7oG+HugMciYKIiDJ3SMzFZYvxStMr8E/yycPyO7+huAHn4lw8ceCJSX1uookSkGMANPE4oi9RxmDgj4hoKolXPW3DXeF/SzBw7ff18N2iy02qX1mih/6kklG0YVvNtO8Dtj848vexzfpFSAhnwSWjn2Pr/SMVtOSg7Ck3m8+7rwXYdJ8e6BHLrgMGOwGfC5h5euyg4Hgrrkk1RQmcOfKAFTfqQWKaHLL+zFypD2trDJUpIatESDA2cl6ZHviLp/WtdLcgs+17bnTgTz6/Ekoz64f2rxnf80k1VQk1i0k+MzhjHFgzMrTxgReA2uVATkFij422c2agA2jZDuSV6/MbT9VG+Q6U4ZnlO8LuHPt8KLrpuu5PMUe7BtE4SdX9hCVF4cLKwpyQPxaGVxIVPnfwGWOdrGAJWY/Lhg4Hw34ixyOhQX1omUKbF0tbn8TOmqtT0n4iIiICfAE3+v0dyRX8D3QHw35iwN85AS0jomwPWWWLya42R5PPYXPg8jmXY/3x9Wgfap/0YVJtPGmNppCqvKp0N2FafEdKZdLinGL0enhiDVG6WdPdACIiygASdnrp+0DXoQQm1vRg4VtPmFfAMgtftOwMD/tFatygB/RCSYgudLhMGapYqnGZ2f98eDjkzYf1yoDSzs1/jB04kJDU67/Rh0jubxt9v1QmkhCZEVoJ1faW3k4hFaz2PY+Uk9e99zmgeRuDE5EG2vT3xgj7JWWMy1KqTkplzJd+CBwaLumTCaRy55v/SHcrsosEhY2wn9EPpZSWdBWpKSe00qYKisuQWiYi+/9o4V0ZWnfj74DDr+rfQY2vx35+qWS763H9O0GCgkZQW75b5P3feI8ehJeLWRtEtO8domnCH9AmNeyXKjarBQ1lwxWk80qBueePeZvAqPCX5+nE4vaIEwZCVBY6UexuhkUb21DBREREFHuY3njaPPuws/9J7Bl8DlPFgJvbFUSpDu1ZxnPiYAZXWy/PLcfqhuETT6eZ6vxqZKPQ93ZOyRzcuPhGnFF7RkrmXZRTFDZU8EWzLsLKmpXBv0+qOgl59jx1va6wLnidKNstLl+MfPvIiGLLKpaltT3ZpMBREAwCJ0L6LCJKP1b4IyKikRCEBIZW3QH0H9eroPQcNR86d/+/os9HhkmVIRyrlugVkyTo8taT8Z//9V8DJ1wD1CyLqLoSIlrgLTS0E0meX4ZjlOE6I/UdDw9JSehj9RfCw10SGJQwn1SlkgqD+eUj9zdGBB7Nllcs8nqkDbKcQucbfP4OYMufRl63hBrrTkbGm8xgot8ztsdJcGgsJEhqDJsr16uXmr93k02qyVHygdFozAK+Y/kcSD+25+nkqqFOZdKHSbBOqnLKvzNO0vu0zfeNnlb63433As4iYOGl+r8S8JPvqtAqjGbDBEvVPnm8VHUc6hr57lp6td6nmwUDD72sfweZBbtpHBhUz3Y9Qxk0vHYSVtSXINdhA875pF6FeRwH9SxaAE5vD046/lDM6WzDz2HVAvBbAFtA30bxW0MqDRIREVGQJzCARtcm+DQ3ap1LUWSrRbN7B4YCXShzzEa5fU7S83QFQk4cnQL2tfbjpIbSdDeDiLLA+TPPhy/AkHCmSjRourJ2Jfo8fdjVuWtcz1foKMQ186/BgZ4DKHOWqUChmFc6T/1bmVcZnNZqseKyOZfhkX2PjOs5KXXkPRnL0LTprGAqz51oQHki2a12FUTb3bVbBdjqC+vxZseb6W5WVrio4aKkQvE5thyU5ZahyzW8/52I0oKBPyIiGiGV0l6/M3bYZXvsg53Bin5ySdbOR4GKBcNDK5r8OBjrwdrD6wCLFSibMzIPCXccfGn0tD4PYM/RA2FSQUrCfkKWSbRAyFhJ2LBtt942GU5Wwi+Rw2GGhud2P5Ulgb/AZD3R5IdJ5P2KXLeWvn3885VgmISOpAqRbeTsS0oxVWVumx5MjhXCMz7343quAHBsy9j6wilLA468qofxjOqyzVuj9xkS0jOq7K24QQ9Ix3PkdfNQuoS/zcJ+hpY3zfv3sYaDScfKtNkvu4pfBKmwn7Daxjf09/AQw6c0/zXudKFre3X/Lszt0isBHyo9Gy1FJ4yrDURERFPRUfdm9Pj0bf6DQ+tQ5ViEFo9+wk2vrwV5BSVwWKZ3xaFBDyuOE6XaVBzSVyrczSiYgca+xklp01SX7tBSaBhvrM6uO1tV6jql+pSE5i2hKMoMl8y+BIvKFuGXW36JbCIhu253N1oGWrClbUta25LvyA+u+wPeFJzYPw1Ilc+G4gZkgo+d/LGsW/+J0omBPyIiSn1lq/GQ0EX9qeaBm3U/1as8LXk7UFQ7MuRtPFJ5b+v9wPyLgFln6qE+s7CfaN2ph1GObkg8EJKIQAA4/LIeGJO2164YCY9J2EWqIEroS4axLJsNNJyZfMXAySSBqaFOvcJdbokeipFKZj2Nk1zdL4U76dZ8CyipBxZfBRRUJPYYLQU736XS2ZY/jwxhLcEEWVfrV+rVNmVoarMKlZQ8WT8TqTiaKrGqoU510udFkqHJjYp7yQSEO/YBTZvM75MgtFT0qz8NqFw4vmXOSpkTgIE/SrfxbyeUuJqSmn5O1yuoGtgb/Htu18toLVwEzcLdL0RERKG6vSPfsVLFxgj7hQYC5+SehelOwj7He13oGvCiMNeOmWV5sGbZkKREE2FuyVwc7DmY9ONiVS+SoU1TaVbxLBzpPTLh4bNTa07NuqGKs50MGSqVxHo9vaPum108G4d7D49at8ayvibq2gXXYn3zenS5u3BCxQlZO8wxAU6bFMPIPlJNryKvQq3/UqHS7ddH8JLgqQwxLVUn3+pMfiSVhqLMCKFNddkWhieiEdzjTDReq/4deO3OdLeCaOowwh8ydKNZBUK5vPF7PdghldCSqZ4lQRCp8iQhtWgkPBKLVJqS4RFUFcIkSCWrQ3qlFxUoPL5j9DT7ntf/lSGIncXR5yVndkp1Mnsu4CzEhIV19v4TOL4dKKgEqpcBA61Acb3+/HufGalwt+qj+vDGkdXvJiN0WBXjvRyLniZg/W/00OUJ1+pDOU8kWZYynHXkbbIuSMDJCEe1jm8YBxq2+U+x75dlLztIJ61K5RT24ndG3xYZ9kvGnn+a3y5VFEXXIWDOORiXvc+O7/E0Giv8UboldNBLpom+rlq15IbFCg37GcoHD6GjYEFS8yEiIprKEqlY1e9rR4f3AKa7zgEPDrXrlcd7hrzIsVlRW5Kb7mYRpZcFWD1z9ZgDVA6rA96AN+y2peVLVTAllVbNWDXuwF82kOXW4+7BVHFSVcQoPFEqiF234Drctf2uUfddNe8qbG/bjpea9IIDUn1xQekCvNI0fGxgWK4tN2UVBqVC3/ULr0c6QrSU2iBptgfcJAj7rkXvwo72HSoEuLxyOWwy+gKQVOBPQqu59lycV39eRgfZZFhbjypMMbE4dC4RRcPAH01vqTjrKa8MWP2FkepQRDT+wIX8AJCqZ7G0jz6YmpCmjfplrF78rv5v8Qygv808EDj8AyaocQOw77nknmfnI4DDZOga2Sn+wrdH/q49EVh69ehpmrfoQ8SqynAWoLAG6D6sD6cpoUcZ3njOuXp1PjM9R0aCNH0t+kVEBhWlKqEMfTzW92O8OvdPzHy7DutVHuddGHs6qSwWi1RplOpkEpSUkGqkWEOUjiccRWMnn48Nd6e7FTQWRqiaMggDf5RulklbT2M908KOfzHwR0REFCLRIF+z+01Md3ta+sP+Ptg+AKfDirL8nLS1iSgTSBBkrOEPCUcd6j0UdvuFDXH2AY6BDJ8qoZXWwdYxz2NF1Qrs7EjihPdJdMOiG1RwsiqvCgd6DuD5I8MnswNYWbMSb7Rk30gKUh2vJr8m4aBPcU6xaZW/5VXLUVNQA5fPpdY3CTxJkMsYdlmuS2gwk1TkVowp8DeewKdUpkzkJIBMMpHBq2sWXAOrxZr1QVpp+zn1Yz8xW/pNCQ1mg6vnXY2NLRtHfadMl8AfKwMSpZ/+rUFE0S27HsgvT3criKaX3U8j4/U2m9++6Q/Amw/rVQhl+EqRbNjPYDassVSxCiUBvMgfxQdf1JehVN/bdJ/eJqlat+0BfQhkCQJK2179pT6EcCgZ7njno8CWvyTeznSF/YRZpcRUOfyqHrqTEGc0vcdGKgO+8Ts9+C2XV34CbLxHX/4yn+0P6W2V6WSeEjqV6pTyXlHm6G/VPxdElBpZttOWRmvtdSGrDe8oN1VYNZkt4eeBiIimjYDmR4f3oAr1yfVIrZ49OOLKvhBIJtnb0o9AgNsWRKk0UUPiSnWrUEaYJ1HlueUq9CekWpapNHUH0h4ZqtZhc2BeyTx1kfBHbUEtllUuQzaS4Gci60Ii00hoSYZ1NqqbvW3u23B23dkqCCXXp4rFZYvVMK7RXDDzAhV6NPPOhe+MGqaUdenMGWci08jrmajqfvJ5D30eo7+Q5VHqLE3Zc0l1ylik4un5M89HqiXb/4W6dPalyEQS7L1y3pU4rea0CX2ekpzUVqCdSJfNvizdTSCaVljhjygR1ScAh15OdyuIKBtIxTajaptUvkv1Hpet94++zd0H5Bbrw/DK0MESMDOrWhZtfrNW6W2uP1UPGbbwDPogY8h2GQa6uM58mh1/14dh9ocMBeIZ1C+hdj02gQ2llJDQJlG6SPioeCYw4yQ9MDwl8CBktusaDB/mKuuEHoSR6syhJ2zMPH1SmzKjbzuai/UDdURERFPZIddr6PYeVdd7HMcwL+/csPuPujanqWVThz+goWvQg4pCZ7qbQkRxyFCuW9u2on2oXYXExhJaObf+XDU8sIRl7tw6vK8yRUPBpoqE/iJDbNlWoWyiw2UylPTJ1SfHnS6d7+NEkPCnXH65JfwkawmGSihSgmVrj64N3n7F3CtUBURZDrLMXm9+HZnirLqz1BDNEyHyfZ9ZNFNVuWsbbFPBWhkiutsdZ7ShBCtzluZGDw8W5RTh1JpTVRXV0PclFS6adRHWHFkDv8kJIYn0pRuOb0jJMohFgqaR78WiskU41n8M/d7wqsuTKVP7BbMKf1HD6UQ0IRj4I0rEzJXA8W16VSwiomS89eTEP4cMqysOvaRX9UvWkdfMqwfSiNZd+sVM2+7Jbg0RTUWnfzj+NGfdAbi6gc1/QlZgRbOsIzsQO/o96Hf7UF6QncPEFedG2c0x/2Jg+4P6dpOE+KuXpXQ9jTeX2d2vMfBHRERTlsvfC5/mhtNaFAz7iW5vE7zOITiseervbBu2L5P1uX0M/BFlUCW/aKS62zsWvgPN/c0ozClUwzKOhd2q/86xWWxRwzJSISyTrG5YjYf3PYxsIBXopKpZJrBm4eB84xnWc0n5EhXiOj5wXFUKlEu8SnDRhlKeaKdUnxIM4b7cNPFFYmRYcLmk8jNZlV+lhuI2q24pAUxZtlJRUJxcdTK2tG1J2fNLcE7e34AWwIB3AA/sfiCpvvv6hdfj9zt+j4kk762EKyNDkDcuvhH/OvKvCR+6N9s0FDegw9UxKsxLRJMn+7YaiFKp4Uy9opXBkWs+nSMPWPmh+PMrSN2GFxFRwjbcBaz93tjCfkRElHlqTIa+kW1WqeZaOgtZgwd0s057nwd7W/vR3OPCm8ey82Sn/Bx9uCQl9GBeaQNw5u3677pTbgZsPP+RiIgoFdo9B7Br8GnsGfwX9gw+N+r+7f2Post7ZDgU6EpLG6ei5m4X+l2+dDeDKC2k+lc2kbCehCLGGvYLdfGsi6PeJ0GeVIaDxkuqkqXLSVUnJTX9tQuuRb4jMwKTi8oXIdsYAbGxfj4kZCXV7E6vPT2hYV8lfCUV6MwUOgox0SS4FqvSn1S3zDZSTVH6j9D3MoBAyp/HaXMiz56nnuuqeVepZZkoeZwMiz1RwW2Z7/Kq8GHYDbK+zSicmOqOiZLhwCfKWJephEKNQLqYyPeHiMwx8EdTlwy/eP5/R7+/fB5QsQBYcAkwf7U+pNOpH4g+vYT+nEWxn3PR24AENkaJiFLOz528RERTxpzwYc+UeauRdWQIVcqq6n772tI3PMmkyCkAimoAa0gosGx2SmbN3ZlERDRdHXFtCFbucwcGTKc5OPQqdg48pcJ/lDp7Wvrg9vlxuGMAx7qHEOAJNzQNSJBmcdliTFdzS+bGHOrxmvnXTHKLsp+EzDKJBKKyzWQuQ6MCnVS7jHT5nMvx7iXvxuLyie0jJPwlYTUz5bnlmFU0a1KrJE7Uc5lVZi51Rh8OOFlS7e+S2Zck1T4ZFvv2Fber5ZxJUrlcollWsUyFmaWCngzzngkkKH3TkptwXv156vsnkWHLiSi1mEyiqeuEawGbw/wgz6qPAitu1A/0yGXWKmDhJUCeyRlWckAoUVI14tT3AQuin2VFRERERBRTfjlw7qeAJVcCS64CzvsvwJ6Fw6vKiTWUFXa39OG1A52YliRMO8aTtvKdrBJIRERTmxzo7fe1ot/XxuF4M5DbF8Cmw9041u3C4Y5BHGw3D1wSTRUS8rlh0Q1h1YTGItqQuNkgXuWkaFXPaDSp0HZi5YmqQtVYnVpzasZUNUx3EPf8medPSkXPlbUrg8PThpKg0fzS+aqfiFUJ0yDTGcGylTX6PMdrTvEcNYT3WCqchQZ3xyrVldXM2nRCxQlIN6kCOd6AZDIhVeO5Yg2bvqB0wYQPqy7ffVLlT9axTArWyXD1UhlxZtHMdDeFaFri3mmauqJt2NidQF5p9MfMuxA48IL+d+2JESHABDa4iuv0i7sXaNwwhoYTERER0bTnyAVmJDcETcaRbeLlNwDtewA5INO8BQj49W3uTD1g3HAG0Lge04U/oKG1z4XOAQ+mLalEecp7gc6DQNEMYPuDCT+0vjRvQptGRESUKgHNjzbvXvg0N6ocC5FjTeyAZKN7I9o9+4N/z847A4W2auwfehF+zYty+5wJbDUlq7XXjdriXBTwpASaohaWLgwbbnJ55XJsb9+e1DwkuJGKYM10sbR8KXZ17oo6vGY8MrxqvzczK8lfv/D6cc9jYdlCvNX5Fo4PHA8ONzoRavJr0OXugsc/+rf7vNJ5yAQSnpQg1guNw8dX40g0sCWVzDpdnRjwDqhApYT6RH1hvXrOPV171PCwiQ7jfFrNaaoamwwlK+tmQAuowOIbLW8gGWYVBiWMJX2UDI+byRJd9mbDK0vgb92xdUg3ec86XB1jeqxUopNw2objiR3DL3YWq39l3Xup6aXg5zD0s2ez2tSw1Ds6dqi+4JWmV5BKFbkVKZ0fEU0d/OVHFGn2WfpwvwGffpAylBwAcu9NbD4Nq4CWnYCHZ1YSERER0TRVuUC/CAkwdh0EiuuBbfdnznD0UlGxajGQUwTUnZKawF/VIqBtDzJZW58bB9pl53a6W5IBSmbqF2OI367DCT0sx8ZBE4iIKDvsG3pRVekTLe63cErRDbCYHMTt8TWhy3sEebYyFeYLDfuJw0Ph20ktnrcwldSV5qpqedls29EerJhZwtAfTUmRQb2z6s5S4Zq9XXvR6+lNaB4SxFhSvgRH+44GbytwFCBbmAV1JqoC69vmvA2luaVRA3+JVBO7sOFCPHP4GdOgmpCgVvtQ+6jbpVLWoG8QmU6CXdctuA497h41tOVEDccbWo0uUl1BaqoKpro6XKpU5VfhPUveA5ffpQKkRghNAlZSVTBaZUEJ9XW7u00Df0aV0CLZDzRG8vxSHXJL25Zg+EtCaEYYeWPLxowb0tcpBXGSeP4VVSuwrW1bWAVDWRevmHsFnjr4FNJJgqAHeg6MqWKfWZAxMtS4s2NnsGqqhM2FrDfyed/cull91s+cceaoSnfGULupDPzJd5RUEJzI9UUCtJlElq/b7053M4iyAvdO0/RTVJvANDVASf3oKoFquKeQ2xZeFn0ezkLg9FvH0VAiIiIioilEtrFnrQJKw4djSbvcEr3K98zTAGuKfiLH+p2QAeSA0L62qRn2qyoa5xBWw2duJyuRg+qzul+H05fYgUgav/KCHHzq0kXpbgYRUVKkal6rZzfaPPtUVb7xcAcGMOjvxIC/Ixj2M3T5juDg0KvY2vd39Pqa1W0y7f7Bl9HpPYIm11bsHnwG001FwcQENdIR+vP4AuluBtGYzC2Zm/C0Er6QwMXNJ9yMc+vPTegx80rmqUt1fnVwHhc1XIRsJoGoyKp8YyHV0qSCmiyTxWWLMat4FsqcZSjLDR0FayT4kwiZx81LbzYNZUk4SiptGSEpg0x78ez4Q7LGEznfiSLhIVlGqQz7RQ5jKyG1iRYvBBWNBGgnmoTMinOKk2qjhE3NpDIoJaFjWYevmncVLp99efB2CX9mGgmuJfq5Ncgyl6qV8lgJ5xoBt/EOq54KEkaW4KF8Z8jn45TqU8Y/0+F9ZPJ9IsE9CTy+c+E7VbjTIMvh0tmXqn5qogK+Qt6rC2ZeoNohQ9mHtsEI6KZqCHGpVplMYHIyJPqdTkSs8EfTwcJLgb3P6tdlY3Cu+dkeCSmoAE56D9C6Cyis1iuAxJJToA8JPNQ19uckIiIiIqLw4GBfCzKaydAumeS1g52YiqoKnShwjnPZl88Fjm/HzNI8HO0eUjfZrRb44qQji3Pj716p692qLn6LA2/MfB80C3fJEBFRuH2DL2DAr39PSxBvfv55SQX8Dg69AlegBxZY4deiV1M+NPR6yHOuRbljlgr6hfIE9O/BaSUzixuNSVP3IOZWFqa7GTRNybCWY61udEbtGTjYczDpx5Xnlic0nRGauH7B9WgbalOVk8ZT5WuySchDghnGUJRS9Sky2HZa7WlRq/LFGqZXqh9K9apIV869En/a9acxt1nCQmbL+B0L36HukzDL0f6jKLAXoDyvPDgcqtzn8o2t6qq8r+fVn6eqC3r9XrV+hA7/uaxiGTKZBKuMYWwXly/GjIIZE/6ciYbpJNw45BuC2+fGytqVqqpZJpIw1Kk1p2JTy6YJ/TzK0LCZTD7v7oAbK2tWBt/jZKo5nlx9srpkIgn7xQuJmw3hHi/0KYFGWXcmM9wm35nSVgmkS6BQ3qt475NMd++b9466XR6XaOVX+T6R50x1QFoC5Dvad8Ttp6WPMyMVM3d37Q6rxjvRJNw6kcNVy3ebN+CdsPnT9MUKfzIUweHD+PSnP40lS5agoKAA5eXlOP300/G9730Pg4OpKxn91FNP4frrr8fMmTPhdDrVv/K33J4on8+HO++8E+eddx6qqqqQl5eH+fPn4/bbb8ebb76Z8Hza29vxla98BStWrEBxcbG6yHW5raMj8THvd+zYoZ5b2iBtkTZJ26SN0taMUH8asPgKYOZK4JSb9QDeeMgQT4vfBtSfOroCIBERERHRRJt9Nqa1E0YfgKD4tOH/Bj0Z8jstxU6dVYr51QXjP1u/crH6Z2Z5HuZVFqC+NA/L6+Pv+JQdqvOrEhsKzKZ5cWbj7+D09sSd1u4fQlX/bhR4Rg9zRURE2UEq7MnQt1JBL5Yhf08w7Cd6fMdUMG/IP3o4ulBSCVDm/2b/4xj0dyGgBWKG/cxEhv0o+x3vccPnD+BQxwD2t/VjyDO+ipFEyTip6iRVeUmCf8mqyKvAZJDgX21BbVaF/UIDGlJ16toF16rAh1lVrmhq8muwetZq0/ui/ZaSIEhkGESGvExFVSmjepsETmoKaoJhP2NYVLN1y0xoVUOZhwT6pLrgB5d9EB9e8WG8c9E7g8EgCf+NN8A00QE8qUAplRE/vPzDuHjWxZMy3O780vkJD/15y7JbcNuK28ZVFWwyXlN1nl7JMx0kPBTqstnjGwlirEN3y+ddhueWynQ0eeve7OLZCX/upJLgjYtvVCHoy+dcrr6fEmmjBOYiP4NSEVD6vUTItPL4ifjelaqL0gfHck5d9G0E6cevnnc1PrDsA/jQiR9Sn6eJHHb4Iys+knQFzFjvi5lbl9+qLmYyrcIiZZdpfzr5Y489hptvvhm9vSPD6kjI74033lCXu+66C0888QQWLAgfGz0ZgUAAt912G+6+++6w25uamtTl4Ycfxoc//GH8+te/hjXGEFIS0rvyyiuxYYN+5o7hwIED+M1vfoN7770XP//5z9W8Ynn99ddx3XXX4fjx42G3b9++XV3kNUubzjjjjJjz+e1vf4uPf/zj8Hg8wdtcLhdefvlldfn973+vll1lZRo2IvJKR67Ll2JdZp59QERERESU9PCvciJL+x5gIIsDQBKqakn8hCWluA448Z2AM4Gzx+Ukn5mnA3vTNBRdBp0YJCG/wx2DaO4ZW2WEbOG0p6iqos0ePNhVU5zc8MDVRblqKMCuQQ/2tvbHnf6U5r/itQb5/W4JrjO2gBunHx19hrbYV7Ea7QULk2oTERGllk9zq+FxndYi5NlGB8IlcPfWwMj2R03OYrR696iDtHLgblH+xSiwmR9Ua/fuG3Vbp/cQunyHsTDvQuTaSmC3jB467LBrPboY2EuJzNmCS40Nh0ZGnWntdeOMueWwWfVXGdD0bcTOATcKnHbMryqEw8b6EJQ6RrhqrJX+zEgojHQSjou3rA70HEhZ0EWGr/znoX/C4/eo4WbjBTlSQQJ/Ozt2qgpQ8vtMgjBS9Wlr29ZR054781xVEXDQO4iTqk+Cw6YHByU4I/8JCT35Nb+qnJXs8LXy+tceXRsMopxaPfHVv0LbPhkkKCrDom5u3axCmFLxscdtfpKaWn5T7UszxZZWLEXrYCuaB5pVfzinJHaYqNgZPaibiGQ+2+M9UbIid/S2bGhYN5OMNSg5XjKktHz/uf1utA+1q6qYsYw1dCfBOglPd7m7cEL5CZhRqIeRJXC/rmmd+pyeNeMsVTF0d+dutY9Q+u/ZRbNVFb6JIqG3t897O3Z17MKaxjVR11mp8PrgngeDt13QcEHY/UZ4zqg0Kd9Bd22/K+XtlfXXrBrkWLzvhPfhzq13mvabMgy0LJfHDzwevF0C9RL4k+CnVNM1KttKsF6+A4nimdaBv82bN+Pf/u3fMDQ0hMLCQnzhC1/A6tWr1d/333+/CrTt2bMHV111lQr/FRWN7UyfL37xi8Gw3ymnnILPfvazqiLe/v378d3vfle1Q0J2Uh3v//7v/0zn4ff7VTVAI+z3jne8Ax/5yEdUNUIJ8H3jG99Aa2urqrZXX1+PK664wnQ+jY2NuPrqq9HW1ga73Y7/+q//wtvf/nZ13+OPP44f/vCHaG5uVtNs3LhRVSE08+STT+Lf//3fVZixpqZGvcYzzzwTnZ2darn9/e9/x/r161WbX3jhBdhskzyk1eIrJ/f5iIiIiIjGWq0v2ZNTcgqA024B1n4/9nQnXAP0twL9LUBn8kMiTXgVbrPAn1Tmrl4KvPTD0feVzxsJ+80+Czj8avT551cAM09LX+Avg/Z8S9Bvqof9TM1JvppIKshB9LycxH//rmpMfEflgo41yPN2o7FkZUaFSjNVunbsE9HU6kckhDcU6EaZfbYK+G3vf2RU/2K12LA4/1LkWouxZ/A5dduy+mK82dSLFs/usPntHngOxfYazM/TD2b1+Vvg1zzqsW2e0YE/43F7BtfAYXVibu7ZaPPuZ8CPxmT9wU6c1FACf0DDkc5B9A7plSA9Pi+O57jQUJ6f7iYSRSWVfSRoNh7TqcKVDAlrFvgb6zKQZf/epe9VQYRSZ2nSwUHrGAackwCfVL1q7GtEmbMMVflVMcMaZ9WdFXN+0ma7ZWyHxSUYIwE4Cc0sLF2IfMfU7C9lGUroTwJEsrwk/GcMHx2vymImkvcsUrR1V0KOEiYKHRL4WP+xpIcNN0iw57I5iZ/gm2wINdLlsy/HGy1vYDLI+h86ZKsMxW4Ml55pUhXiSpYE1Yz3/+mDT5v2x6kg643Z8MPyOZW+Shj91UWzLsJki1fpUPr1q+Zdhf3d+1VlUwktxiKf01RL9ZDV8T7LEriUQOgLjS+oMLCE0Y0+412L3oUD3QdU37WobBEDf5SQaR34++QnP6nCfRJ8e+aZZ3DWWSMbgxdddBEWLlyownkS+vvBD36Ar33ta0k/hzz2+9/XD8StXLkSa9euVUPfChk2+JprrsEFF1ygAoUyhPCHPvQh02qCUr1PquaJj33sY/jFL34RvE8q8UnA77TTTlOVCv/jP/4Du3btUq8rkgTzJOwn/vznP+OGG24I3idD8co8JAQp4cEvfelLuOeee0bNw+v14hOf+IQK+8lQwK+88ooKMBre9ra34Y477sAvf/lL1eb77rsPt9xyCyZNxXx92N1Mdu6ngJd/lO5WEBEREVG6zRs5czEpw2erR1W5EKhZpl/624DOKKGi4hlAb7N+vXxu8sFAqU5oFqqT4F4s0Q4OlM4C7M74j5lzPiA7rLoOAx3mB8fHTKoDDo1UQxmTRA9+yHQTEEqSYXu3Hh05E99vcahhZDONzQL4k3z5eQ4rSvNzYocYJfApodKxcuQC3rGHJAty7Chy2tHnTu3wyXkOG+p7N6uLhP468+ci19uDgZxKeGwF6j0uHzyIEncTjpScAa8tF5pUhDBZH4tdx+AIDKErdzac/j74rE54bVPzoBURTT8yBG6v7zgK7VVRq+m5A/14s/+J4N+5tmJYYUOZYxaqHYtgsVixf+hF9Ppa1P3tngMxh9TdNfB02G3FuQ6U5jvQPTj6+1fmecyzDRZYcdw9+iBOUa4dfa7R3yHegFsF/2j8cuwWVBY6caw7/Pt+Xsl8bDu6CZko11akhmr2BmJXiIlna6N5taajXUMozLWjLD/1B1KJkiVDmD5/5Pmwg/Ey9GCskJndao861Ouuzl0qPDaWIYazVVlumaqGJ8GB0BDCypqV6roMj7ju2LqwxywuXxxznhJAMAtQJULCU6GBKgkNJlIRzAg9hJpZNBNH+44G/zYLu0wEGXpT/pvq5LNikKpTMszlM4efQb+nXy3ryOGdx2q8VeYSIcN2S3uNSoUSXI0Wxrmo4SI8e/hZVQVSAjmXzLoEf9v7N/VYWVelyuNEmlloXoAndBhpCb+akeG9JRR9tP+oqiY3FrECtWZkeUj/KstzsoZiz1bS/01U4C+WTA8mGyFaCQUmOgRyKhU6CrGofJEKrE52OFSq98nFrNJqqgOINPVN28CfVJ976aWX1PVbb701LOxn+PSnP62GpZXw3E9+8hMVlnM4kitJ++Mf/xg+n76D5mc/+1kw7GfIz89Xt8vzy3Q/+tGPwsJ8BiM0KBX9JBgYSUKCUqFQLvv27cM//vGPsDCfkCF8//SnP6nrl19++aj7xY033ojf/e53+Oc//6mCet/+9rdRW1sbNo3MW4YRFvJ8oWE/g7TxL3/5C7q6utT1SQ381UxcCdqUkQNIREREU1FJPVBYCzRtTHdLKJXmrwb28+BiVpm3Ov40y9+lBwMHOgAtoN8WLRhoZtVHgbxS88BfvG1y4/lG3Z7gzhWrFWg4Q794h4CXfxx+fzLVBiJ39p5yM7DuZ4k/3nymiX2u+pqB1rfG+Vz6TqntTT0YcPtN728sXYnjhcuwqON5FQibLDPL8jCzNA+vHew0vX9GSR66h7zojxGMm12ej5qSXFUPwjjAJ0PQdQ144PLp69GcioidmCs/GD8UG8uy64Etf4loa25YyHB+lT6sSDRLZhShtc+thsobC3lNh0Ieu7imCAVOGxq7huDzB4CeN9DQE/3s/cqBfUkHKndXXoau/Dlw+AdVJUEJEmqwqL/lM+W2j2+Iocm2ZEZ2tZemjtkV+Ul99ico+z2pogXbJpJUKdtyRAL6luD3w5C/Jzx45wYK7ZWqQp5U0Mux5qHHdwyD/u6wedWV5uJYd29wSN4m11Y4rHnjDlZJtbQhTx/cvgDKChzoGhhZRi1u8+9/h3TelNAJAEPeKNuTMSyoLkRJnkNV5O0aHKniYziz7lQ8/GZmBv5m556pqkHuG9SHlJwIbzX3qcCpXOpK8zjEL6XNwrKF6PP04djAMcwqmqUqFcWrKFeTbz7E7epZq7GqbpUKBGbqkJMTRSp+NVU0YV/3PvXaJdBnBECWlC8JC/wtq1iGopyxjXKWCKn+tbphNV5uelm9FzJs41iHF5bw51Oup9RQvyooUpThBUCynATBpLpjNpJ17Nr512JT6ya13snwp9FIQPa9+e+Fy+9SQ9Yaw43KsLwSGpzIz4cEW2U4z1jk/m3t24LDfYaSsJ+Q1/dW51vwBfR9LNFCivLapAro682vB/vcsQQ5kw0JRiPPv7drb/Bv6bNTxSzEFS1sOlGBLxneWaplSp9FOgkSSzB9LKTfP9x7eFzPL6FeGVo30VEiZPoLZl6A5w4/p4bpzjSyTo91/ZXPsQSKt7VtS3m7aHJM28Dfww8/HLz+wQ9+0HQaq9WK97///SrU1t3djTVr1uCyyxIvvysdwyOPPKKuL1myBKtWmX9Bye2LFy/G7t271fQ///nPwzZ0pUqghA6NQJ6EBM1IqE7aKswCf48++qiqyhfrNRvzkcCfTCuPue2226Iuu2hBPmmjtPXXv/41du7cqV7DokXhZ+FMGzIk2eGQM6WMiiX55cCg+YEv5OQDy28ENo6usDjpCiqBgbGdEUJERNPEmbcDA22Azw1UnwB4+oGug/r3XGG1PqRoKBm+9NiWdLU2Oy1+G7A7vGrIpJJKWQz8ZQcJ8NWuAAoq4p9sYmyXGtNGflZDt009EcGF+lP1sF80tjg/NXOj7Ugcw84Jh0mFgWgHDmQ4ZE/EDraCiB2UMmzwePupeAcuZpwE1J2q95cd+wG/V3/M8hv0iuVrvhW1cl/ngAcDHr/6NxFDjlK0FSxWwca9Faux0tUEWyCxx8biseUjR4JgMchSkN+2Eo7b3zZ6x6bTYcXy8hK8eqAj6jyqi52wRSxPq8WC5TNL1DJw2m3qwH3Yej2esJ8omzPqJgn89Q551bKXYEt5Qc7I0MEy/Wb95LpgM6xW1JXkoTw/B4c7B+Hy+uH1B+BNMIFXXZyrHtPr8ql5lOU71LJcUFUIXyCADYfiV6FcPrMUOTYrjnYN4phJRcTiXLuav2Fxe/whsF+bFb5/IEjTkOfrRsBiR66vBzm+AfQ6a1HkaUW+pwO9uTPQnTdbTzUlO/xXwKuGM5b5zjjvFrhs+Xhxtz5yQTTFeQ6c3BCjjxp29vwKrNsfff2bquZU5uNQ+9jCqBTfeQurcLgj8QMQ/37BfLT1ufHQxpFKNdlmeX0J1u5pVVXxIvkCbrR4diGAAGpzlqognaGspA/rmzeib7iKXmXOfMzIWQYfXOjxHscxt37QodwxG9U5i2C35MJqsSOQsx9vuZrw5lAXPL6Aus+rDaHLO7rqSb9P36c14Nc/6xKehn90ME+GNg0NoI837CcKnXacOnvkQJbb58emw+Fhw0jSFgmMj4eE2ioLc9R3zsbD4d8X86oKcCDiO/n0OWWw26zoHvSoYV6jnUCQSsvqinGwfUB9p1UUOMNC9fWl+jrS1B39PThxZokKUDrtVnj8Aexr7VdfMflOm1ofj3UPobEz/PF5OTZUFY1Ukg7bflDbF0Cuw4HaEieO9yT/Hpw+pxLw52ND48QMtyzVKuV4w+y809Hja4YvMIT+4fV6vKQ6T2D4hBypLimXyOqHketRRUGO2jaR5TbW0A5NHhkW9WDPQXWJrP4kFbwih+wcj3hV4hKhKtHV6pXoEhVrPRxrVbpsJ8tEquHJxayK20dP+qgKBqmhbqNUSEx5hbzS8VfIk2Efb1pyEzwBD/Lt+dOmD5LhOJ86+NSo2+eVzEOmSOazNlnvW2FOYcLV+WRa+c8gVSnNPj9jJRU2Q4fdPa/+PLUc5D2MN1Sp3H/johvxh51/iDmMrIQUJTwnYaoFpaNHFDRIOFAC1d6AV4V90knaIsFKqaYoYeRUtqfAPvpkzWjDM0/EcLFCAtfyPSwVV188+iKmE7PvFqmoN57KrDL0eFN/U/D7K1ZQL5or515p+vmPFaiT0O/1C69XlTbXHl2rnrfXo580ZpAw+2STz7lsx4+1iqSE6KX6qSzPTBlC+LoF16Eyr1JtD0rFZxnymaKbtoE/Y3jcgoICNYxtNDLcrkGGrk0m8Hfw4EEcO3Zs1HyiPY8E/pqamnDo0CHMnTt3VFvjzUcq8UmoTsJ10tZIic4n8jVHBv6M+UhIMbL6X+R8JPBnzGfSAn9ygCyTzDwdOL4dcPfp1UOWXqPfvuhtwPYHAL9JNYvcUn14NTlg2z5yVkNKSPBChmuT5ziwBvCN8WDfaR8ANt6b2rYREUVz+oeBDUlUnYocLvPA9PohNWlkqNDa5XqIXS4GCQGt/JAeqnEWATsfAdp2j9w/9wIG/pLlKNBPImjVTwIZM3uOHm7qaUruceMNz9DEmH8RsP9fI3+ffqu+rRdJPodmJ3FE7hAxC85JpbT8SmBtRJXx0J0gUmWvcX14hbx4pE1mgWCjTUW1QN/x0UPtxuqPWt4MH/I3mllnAkf0s5ghO55mmZyYNe/CuP2UJtv5hVWwvPWkOotSdv7IAWc5UF7Y40Kh24dch1UFv/wBDX7ZETTkRdvCG/B0owNoPKTmk+s9HyWuJgzkVKB/kxxg34NVR8wP3vZJgGp4KJpEHCo7C60FSxEY3sGmWezYUX0N6vq2QoMV1QMhfXOS+k98H8q3/jr2NDNWAbZjqAi0oaPfo6r5hcp12GI+fkltkVp+ZuT26qJc8xD6BJBgoQQI5FC4OrAtccbiOmDu8LoWJSQqr1Gq8xlkXdlypDtYndCMVB2SkOPcysIxD320YmaJGgJYzK4oMA38za0sGA5baMixWxOqzrXqyG+QKAkCdAwHU+v6tiVV+ayuJBedgx64Iqo3LTl4r8oLuo+MPnnOGLpalnex1Q77y/q6E/p56sifj3xvB2wBL3L8AzjNWoaj3bNQ3f8W7AE3unNn4lDZ2SjwdqBiYD96cmeiK28W/BY75nW9jIrBA2Gfr668OSqI2O+ohCPggtPXrz7LEnyUtniteagrsmL1okoM+q14YuN+NfyyBQHVa6hY7HB5Nwv8+hDMQdrI/YlKMFC5al4FDkngZwwH2SQsJeu1fKbj+dSli7C/rV+t80JCunMqC1QY84+vHY7attdihIAT8a7TZqrQ1I6mHjy7Uw+STZbrTqkPCxQlUqVOlqdURJ1bmY+DIUFMOYCQyIFQv+aFFXZoCMBqsQUPeBiPlb9dgV4MBrrwsfNWwhsYxJ9fb4ITpWoaGY7WExhAs2cHVs7LQVlOHdq6C7CjZR/aPPuCz1Nir4PdkoM8WxlaPW/BMxyIkz7L3lmGvjyPer/l6SWEJVXtIrV5RvZx5efYsKyiGIWFQ3D6clBR6ER7fyMO+w9jZmk+Si3A8G5VeGxNGMptUyEuqTi2oET6RzsayvJUoLzVsyc4Xwm6tcdYP6Xv29HUG/a3ESSX8JmcKx0ZkosMysr3QCDGcSV5bdG+SyIr/UWSd01C3v0mQ/omorYkN7gOyrC1Ero/0D6g3hcJrFcXOTHg9qGlVw+01RQ7VdhPlObnqIt8dsyGFI5WkXBxbZEKSxrLRwKHEsCLF8w+aTiYLeuoLDMJOkoor65M/36X98NoZyj5vMh2QOhnTR4v4U8ZSlnez5piCer70DO87SHTRlYElnVJ5iVD2coimFdViFxbLuZUFKA836m+syUUKOuThPZlvd7TEv11ffTkD8Nhc+B9jf+LiSKf2QrHPHXp8h5B/9CrYffL0NTuQF/SBz7n5J6FRvcbwaGj45HQaGRw1IyEdZ0FLZhVlq+2k1t6XShw2tX71O/2qvfKCF4aB2xD+y79X/2DYQ25/bqF18Hr9+LJg09ivCQckUjFndChSLONBKNKc0vVgVOplPe7Hb8LBjwlyCKBP6mUI2ELMxK8iFfNRqpLycF3qRB1WnX48bbQ4TTjiRVOodSTz5v0W9lI2p2tbR8rCWTI8MZ7uvaEBchihVQmm1TekhDmoG8wWMUrmpKc1AwNnE1OqTlFhWo63Z1qONxkA7DyXl8x94qw4KdU6gslQb8zZuhDlE5Whb7xkgCefFfJtle0IZfHU11UAp8vNb2kfmJLWMzoOyTo9Frza8FpZRjniQzDLqtcNu0Cf7L9ZGwjGOunBDzHE/iV9eVdi96lhnaXALh4ZN8jajjuRLf9zNYzp82pqt2+2RGyf3lYaAhV+mKpeirbpL/a+quw6SajkrCxTSptunr+1SpUKSHfsQT+FpctDlYIlb4kUwJ/0tcZAVwJu0cL/EmVxscPPI7pbtoG/oyKeTIUrt0efTFIZb7IxyRKKtuZzSeR5wkN/CU7Hwn8NTY2YmBgQAUaI+dTUlISM6g3Y8YMFBcXo7e3d9Rr7u/vV/Mey2tKxtGjsc9qbm4e+YH5l+P7UO7RX2dXyQkYWPs3ZBqrvxBOjwdeewG8W+Xgon6A0eYrhd0/hILBJuQPjbym1spieJ7/ExzePlR0HoY9MIS+/NmwB1zIG9IPfA4UNKCreCmcnk74bHmY0aoPUR2pr2COOpjQWzgfAekcZZ9mrzyXXIbXAw2Y0boGNpOdFkN5tcHnNPQUzUfvhjWwBmagaEA/UOnOKUP+UAsKBke/d/F2MbmcFbAGfMjxJn7wkjJMlg4/lG3Nzrb2xmt9T+F8FLiOwe6LXTmhq3gJ+l59CpVd7ch3Rak+FcMRXz3Ke7pRODh8tGiKi7aeaBYb2kpXwKr54LEXw+4fRHXX5nE91xFvPXBUvn9eituofLcNDt8gBnJr4XvhIVR1tyMvzvvpteXD4yhWj6nq2Q5Lgj/aJuLzdLxiFWo7RnYATCYJDRx1vwK734W6iB9dvfmzMJhbg9rOxM7GP1axCt5BDZZALSp630SBK7GD4If/eS9K+t0o7U/H2VTZ2fsl0mrZNjz29DgqOmsaSgbdyPH1qc/J4MvRD3jZ/AHMbA/fYdHc/4j6jIXMDrVdzcj16kGaoZwKtLysV5as6OtG0ZC+c0aCYo2DlQjsMg7aB1A45Ict4EZ/Xj38rz4fu9nD/zp8Q6jvDG9TU99f4HEUwRIIYE5IeyXIc2TodcASEiwMYfcNoqqnEY7AIHryGtC99jF1+6z2vapdxnP25M9GZ3cBSgZcsPpkG7seg0/+WZ+HTT/IKKOlinxLsXrNHlseqvpGht1T01jsONJdBJ/1EBZ0bB/Vnn0v/RULOsx/Ax3yvQCfNSKoJrkAfycwOLxMrS2mfd7+wkWosh5HsSux77R9tm7AFX4gWOzI038DlyEfFYMjYY5QjSWno6Enet+ysHwP9s2tRMeh6EM+1Ba5sT+/Digqgjb0L7TCjV6XfuA9125DR/VcWJq3Ya+lb9RjpZLdOq0PSHTEEwmsSvDz6AtIieHfOTHVzAYOPKFfH2xK7DESYCgNoGtIDnJLqCMHrb0u9IVUlZJhjB8fiP3baJ+lf1SIRKohur1+PYzl7QVC8iSBai3swHyeMU3IMRZXrl9VGTML6YxFtc2JVkt4aKDDXjiq7Qb5DNosVhTk2NDuzMGRgQF4LeG9acegHtKJNg8JBHRIRYaQzcuwaYdCPjsWoG2wB419b0Lt5ZD9ze5jwPH1MgooVE8oOcnhYlzySdkXuk+6+2/qPuNXtDPPoYZAdLfqy9DhsKGhJBc2jwXrhz+G3tb+YFzTbPf2ZNS4kHDnxpfyUdLnViHkRMh74/NrqrKlUd2ys7VfbaMELJEhxZGrjz9VqE58dKqd6RpmaIC7EXi9EdCau9Xw7lbNr/p4mU9ejhUtvnwU93v0KqayQCTDOByrFqHXgwvMeFp7QOXJ168vwqsIIM+SA9/xvuDQNh744cgB6gsKVB8koVKrZlH/Gnrhghsjn8fKghz1mVKfDeMLIoan3Pr+qWMdiXVeA50OvLUvJzhceXPn4IRt+UgI9+EX71fXLS4vWga96jllMRblOrBQQmaHLJBPjDegIb/PhTq/pqbR7VD/l6Uz22lX1eNk3ZDgju2YFXK4sMgaUOtKntWGowODUUNx0v9VW3NhP2ZD8DBwFxA8hWg403tGTkB9Lzs0Cyz9FtQZu3CHi3xWahoG+0eWmQTta525qNF86japsCdVTo12yDCwRe15WGHxqdCbfB5K+hxAn0pyB3eU1/aPfv9qnQUogk+FlmS+0arPycGrGpsTaDIP/ZX1uuD0RP9dkwcnKnJsCAwOqRMGoqksdKrMbr/br6q5luTrB5ds0oGFnNsjh8DK7LJ9o8EZsMJyDJC9zjNs+vqc67GGTS+WasCxoSEVcotHwnHWDkCi7TOMzRv5CnK54PLpr9Mub7gK8Ol3Sz+PppFtIctwO9XhOvk4Du8ilXpFNVaf+vwZi0KWfcVgDjAU3mNKlC80zidL4wT1AodvkO4uZPemfN+cUzgLa4cOoS5HdTSw9VhQuPV+zOzejyajWkcX1LptqDFZN4RU9XVs0k+Mru9/Cz51ikDqVKEQKwYeCrvNp/nhxi4VFxeFcOI8i1RWs2GLdgTNxhdYAs4fGDk+EtBs+CdGb99ejhPRBxfWqW/ExKyGhjVdu3AoZHex2jUdMs0AHHCHbrQk4JVtx9R27IHhfmkscmBHAZyoRi1qkYu9aEETulGJQnjgQ599UIVIxYXWxajLL8I/3Juz7tfpNTknYf/+u8Nuqwt0Y5evGU6LHcX2bmzcsg+1mgdbPKMPcJ9qn4UG6xD2eHehT9O362qtxaiyFmG7rwm5FgdWOxbDiX2ogh92DGL/zt+FzaMi0Idd3pH1Zrm9Hm/6j4V8v+ikPcsc3di4aceYt4+a3aP3c206EL1aZaaa+MJnE/kE06PaXrreSBmf4Sx1woecQKTBfuhVbMbo3/zpNC/gwh7/cdhhQ4V9CJu36fs5inxN2OM7HjyJ7WTnADZv3DLt1jc51VbiNb04gLHsmZfAdoGvCccC3Siz5MN30IXNltFFgFImqxZx9MaeosmvGA3a4ZewefhYhlfzwe49gi5tEHXWUnQcehRdE9wBNw+NVHgUpfbG4GdkqqrVfKo6tfRas+0ubN3zi5TN29i8XxoYwnrPAfRq8au0n5WzAFv2/9z0vmJNw4JAH/b7W9Hs17elcyx2+A97scWybvTzR7yfxw71Y9CaP+p2seVI8r8P6n0d2Og9GPz73JxFKLXmw635UGA5ih277lS3yzaVy7ML3YH4J9jOtlVihaMBNlhgPbIL27aO7L9epWnwwa/eqyddWxNq4yJ7bbBvT4UiSy72H5aTfUc+i0sC/XjBPbJv3tB5JACPexc6A9H3v/QmuG8mm03LwJ/L5UJ7u17dYubM2KV4y8rKVGhOwnNG0G0sobV4z9PQ0BC8Hvk8Y5mPHISSx0kVvsj5xJuHMZ8333wzJW0RyS670MfGc8jbh06vD8cLT4TP4wE8mVzWUzqV0eEGm5aDCi2gAn0Djgr0DHaMDPfrrA85ud+OPEcVNAvg0pxAj9HJ9+CQcwaqBvfCMnx2nujPqUa3Npwm74sdomyylaDSPXrZHdcaUOsLL0l7zBdAoNtIig/vwBzqhUVzoj5iWoPLVoxc/+j7unJnY8BWpmYzcyix9aQ9f4EahsxlL0Hl4H51YNcgFRk8tiJ1YNdndaLQ06qqM8Qibcjzdpm2rzNvLsqHRr5MQ3XkzVdVGAo8nXCaPDZUv6NKtUPClxOhqfgUFLmPo9gd+2zLyeS15sJtK0KhN/ZwWzQ9SZ/QGQigAA6U+KOHvjSLFU1+P9B7GL3ePhT6RwcCYmkuXA5/72EcsRRiZpKPzQbSz0k1mniOFZ2kDsgGh7Ec/lw2OmtQaRL0MCrkxHO0L/GhynQ2YEh/7uPIQaXmHjWsZK9zhjrwK/2HDEOpt3cQe/Pnq0o81QOjN+z7cmrUMIKJLIuxOurqhCswpAKTsfpiqRDkGMfwX7LOy/Lvzp2lAj3yPdPjrIFrQP8e75OD4b6RAzfNsMHv7sExZw3yvN2qapBUFpIKRKHTieOFy+BzyfaFvo1x1F4MFMp36T5VnSiaIXspOvqPoAk25OaarzOZZsheppZFiTu1Q+MdLR6pVODwD6JmYHwVF9vsdXAPJLedHOmYfK7spYDPBfhiz0tibznDP4D91hw0eySpEv7eH8+pQKEa586Cfkc5tEF9ni3WPBTb89Vnts9ZA4/L5Ie8JQdwJf69L58nLRAe2ml2t8E/fBJIS+FCFHjaYAv40J9TBf9w4DCapryQIT+Gp+11lqvtRdmYln6wxWqH33UMbTLksK0IUNtww9txER9vaUXz8HA0jYXzUDZ0GHbNg0FHuVoGWqBLso7YXLxQVcwzdOXOwoCvGbvya0y3IzsCnepxsWwtnIMZ/dtH9Q/d/hZ0O0tgd+Si1NWotrf6nPK6tbA2qOVXsBReX+xgYI/DAZ9l9M6g1oLF8KAfvQV1pp95mwXI6T0MrTgXHbYhVSEuUqCoHjm+4+g0NpNrFkPzvgGfza92RNlzNBzxDQAzT4Jv4AV0hARuip12HPENf2/nFgOuiG1tqYQ+1KVXrbTa9AqoqgKkV20zpERxlT7cspDnCJiEM9xdgHyO1Av2ARKgS9RwUaJ+nxuBfMBl9anf8YW5djTL5zTOOtLv1Id2NswoyEWLfEfJXh55O0y+xrXigAp4SYUca54DR7wm32lFekhiyOsfHpIZqrJRsge3qwpy0G4NoMUSfoA1x6uhx+EeVeGwpsgJq82qKpT1w6eWizs/gLb+ke/2whw7jnj19aLFYv5d67BacMQb3tp26xCijaTs8GlR52WEUvRqUVAVKuXAv4QlVQCsXw8TW4crR7lsGlzwQCsC7LKT1KKhyd8fNnSov9Cvqh5GNscyXJ1KglLy76DHn1C4LBqnzaqqikrAR4t4nqo8p74cc0dGfDd2o0rI63jv6IPiDcV5kEhaP9zo9+rvSaDIj7b+wZgJ9yOu6NtmWr4f7UaoTz7W+TmwOGw45hpAwC7f5R61HoqSXLtaJtK+8Jno90m1KFl2UmnMGrCgZWjkea15w88zHDIrzc1Dr9+NXv/I7ox+uMLmbewszbNbUSRlvwI+VOQG4g6zmmu3Al59fSpz+MOCvKI0zzGq0mmO7MMZfp2yLs0p1t+79j43PLFKyCVI1mFZZ6WCm8Mq/ZTepmIbUFw0XGVS8QPD4Swh/UCdSk9J9VoNLSGvXb4DKp1GRQQNkADI8MtSq5Tc5QOqcwPBZR+2DhZKRTkLbBKtjfOTw2a8TVE+DvJUNXkBFSaXvq3UmQOLd0i9PsXnxYx8TVV5U5XEnA7126LAAhSoxsryH90XOjVXWL8hgTWL14JCeUK5BHwod/jQO/weyzKRinIqBGmVPsA9kgaOYPd7YDf7TgneH4DNZ0N9gV4ZuD9KOFCa77BYUKhehx/wRl+Y8n6qvYOekfchWNfZpJ2y+GYWAD1DvlHrcdh0UnXNa35QtCZPX+6S55FqfjJVn8urDtwUO7WR36ZxSIQ2v0g/MUXPDY6sx9HIex0ZJDJcXTAXORYbCqwOFPptOKrZcWD4t9CZubVAfxuusJVjq1UOcwEnOSvR6h+CK+DDHEcxfl20XVU/lGC30U/nO2z4aNFS9Vjx7xVz8Ou2keDUmYEZ6LK40AsPSjUnDlp64LYkdzLbKYEqnF7nw5vHwrc1TkEB3rR0wC7BCU0icPo+0OVwqO+/SJKjl/3Kocq1XORr4ftO51nsaAw5IaNWK0Ch1qUGOZxjsaEpSvB+plaEo8OPuzQwB3noxTtRj0et5r8hLwnMVsv5gKUbOfJ7U7Oh3+JVbZKDkHlwYI119BDJVYEB5MKNU9Xrb0cgxrH5Si0PVVo+dkkyddgcrQQrNCPKKd97LpwGJ05DjbrFCz/e9LsxgADmaMWokG9ATz981tiVKw12zYrlWiWqkI/9lm40oQ+zUIwWDKIn4mQI0aAVhS3vGi1fHWiVZWKDFUcs0bcxzwjMQAmcaMEAtlnbwuZ5slYN/1BL5CjmKsRaheH9LehU3YB87q9ANV62HEX3cBvzNDtqNBe8aMYZKMQBiw9WWLBAc8IOH2YNLy9JYUsPJG+DPFfk88n5JSuQhxbLIMq0XDTAi3zISSDdcMKG+VopXPCjGDnIGW7PWM2x2LHPMlKldXGgHO5pcgIwTU9jqwc8sWSbY9nwhnYAzaqXFfOgnzzZD4/qhy0DLcH7KDkynt6i4bP3AjjG5ZiEyGW1XK2rcuqKHx6M3uZItbkWK/YOf0/ZNAtmauVwIbGTR7PZwuC1Y6HnZ6a031mFPOyxuNADN7rhhsdke7tOK0RRfyeGYpwYI2vDSbChBrkYgBf1KISvr9G0v22waDhg6Qluczr7W9Xr81rD51+gOTDUn/z7XAUNS2BHp8WFGk1OQOuEH51qn0XkFuUZyEUrAuq3Rvvwfi7Zpq5Anlrn5HfAMq1SnVTlg/nrCWWz9MEV5zeLvK56zYV2i0dt5xmcmi3m752zAnXqBKlDlh6UIhcVWq7aZhbLtCK4Io47ym/XC1CC56wjt58cqFbLdAUceMuihxRlOzV0m1q2O7WQ/c1T1bQM/PX1jbzRhYXxSx0bgT+pbjdRzxNaiS/yeVI9n0Rf80S2JZXkYG57/lwVeshWcsBVDqrFZxkJP0Tw2ApV6NHhH1IHoP1WhzoYmSiXvVQFY0IPLHbnNqjqI235C1Hg7Rw+oCg/5M33oshBSAnjGQcF5bqE8gyFnjaUuo6EHwzNqQz+Lc8vAT2pQuWyF6uDqpGhiR5nfdg8O/Nmo8zVqIKOPbly33CVGpt+Xq8MsSQX4fT1oWpwT3B5yWPk4LEEI2S5lriOBsOBMvRSa8ES9Zqsmle1Xb4qpG3a8HBqRjtk2UlbJYgyZC9RjynyjFRM6supVW3rzpuF0qEjwQCchDuHHHIQ2vzsDXk+WdQS/JCwhTynPeBBdUS4wG0rVtP2OutU2CV/uCqPWfihO68B+Z4OlLj1g+By4DtWeEV/n2YH3yc5sCzvUSJkuCz5XLocpSrMKo+NR9ooQ2aFV4mAaXAlchm0FSxQ1R6K3C16BTNbgQpASnWcQUcFNItFhWHkNcv7nUh7ktGZN0e9T9IGuVQO7I0Z+mkpOAE1A5NXHtltK4RTDjia8Frzw4KzyZB+p9DdosKsso7KZyXeOqJCeFa9ioWsWwXedrXuynos/Uboe6Wve3qfo88/9rwliOv096m+ILSvMII68vmIDF/I80i4N9pnUci6LGEpCaJFBiqk/5ahGKMt34kgfVRLoapXgEJPC0pdR2NOq8J+JmQZRQayVfA8t159lqQvkz6orWCR6uPKhw6FBUnG9Rps+WqZypGbHP+gmr/bXgzPcP9tRj7Xss4VS/UdDejNnRGsktWDmWoe0t/IdFUDe1RoUT7/g46ypEJqMk+Zj0HWDyHPXTG4X61j0u905M9V/Y0MC+ixF6h1WPr6KpMhMqVfk/VTpq9Q6+DoA1Dq5IWQ7RlX4UjltdC+Vb7nZdhAt71IvT/B9zJknZf3MHdAwvj6Tx15D0dVFBv+bMnnzvh+ku85n8UZ7BNk/vL9EmyTvQTt+QtRMXTAtPqYhC8ltFnsPq6WoXwu4n3PhJL1UYYeNb7LpEeV5/Ta5GedZTjYHv/gd2f+HL03tlhQ4OmI2sdJXxQaOpXXKq9BtgkiA+vSz5utw9Imaa/fkgObZv4DUpZjc9Fy9RokXCnbJLK+y3s4mTry56ltAIumoSe3znSbTrZjpL81W4dl2zCV1HeyvTT4HS/vtfH9oNoCK/pzjINIYyPzbClYoj4zLnsRAsOfmWRJu9oLRnZPRb4O+W6T16G2fYY/i7ItLn1abf/IAV/pOxJ9PvneMra9ZFl05o6sg/I88tmNDB1LUFj6JPn+lHU0EbKtV+Ya2WHisRaofnTkMz9/ODSpU5Wgqmbp1+05qJp9AgZbD8Bqz0FB1Wx4PS747QXILR7ZzlccebCUzkJ+95GR4d+d+m9KZ/2JKDi0FUM+vwoqSehNKZ4BVCyAGl9RQhkS8pOqSRICLKwBytx6GG8ihnKS4XqlaqDPDeRXAP0tQGfINkTNCeEVGyREKq9pKPFqOgbJjhQbrzlBUhnQZvWqkJNUOzKqJ8Uiy1aCNvGo8FnIcMu1xbkq1ClPERr6EYXDw1YOev0qYCFtUeGi4fbI/RJWsQyHnYwqYxICkccUOe3qMcYwfWHttVvV4yXYKMMuSvW84OvPc6gqiaFUmCs/x3RZSQW3yOxUSa4eQJFl3xtl6Eppn/FayiPmLSFFqfSVY7epoGHo8os2PI0sG1meEsSTx8pykEmljaHLXIa0DB2GWWZfU5QLt8+vAmOxcmDSXhmyU8hkLq9fVemSZSzLVJZlaFtDyeuoL8lVz62FLAMzUlVSwnY9Lp96Tlkezb2uYNsK4gzZLctC1gUJzUiwLnSIb+twZb1Qspw7+t0q9yXPJ+uyDCVrvAabPfoybyg1GbI+hBqyMySYZhl+v+V9CD5/yHJTbbQAFfk5KoiorwfW4LCUxjxlmfv8ARTk2tXjZb7yXhhhXZmHhBUjyZDeEh6T9zpW2EreL/lcyNCvElgMfc/kfZb5y3Idb40KmZesn+pzPvyZSoQse3mfJCjrDwTU50ICiKHrYCrI8xhDmJvJSbDvCyXvf1vIOmH2miXEJuugfJ7lfZT3Ldp6GPk4WZbRAnTGZ0HmJ8+b6/CrPkrWM4Najgn0++Nh9Ntyke8AI9xvBLGNKrXRSPsj+81E151SmxOrcmvx0tAxDAS8wQC6apfFgrflz0advQAHvD0otOZgpq0AOz2d6Al4cEJOuXq8hOi3eTrUNC3+QZzhrMEpzqpR/fPl+bNwzC815qyotuvbThIIPD13ZBu0wT6yD/yO0hXqpASpqtfj96jLibnlyAsZvmtOQSG+VXBmsIKmPKcMTzzgliq8Vmzu6cDjvYfgt2go1Bw4U5uBNgxhj6ULLotP3SYH4+TA3CB8mKuVYFVdpQqgnzm3XA2dLcOqyzsyGyWYrY0eErEIOSpwt8XSqg56ygHPGVoB5mqlql2vWfUAlFUDTtQittkkRKCVqzZJe3I0G5ZqUlNKJ22T5z4WEfrTA352nKqN3n4/MVCJHVa9AIPh/EAD8vUoKpYHw3ejf+5dHpiDf1pH9kXM0oqRO3xYay5K1YHbZ3EoLPQnBxFbLYOqgtRCrRQO2LAwUAYvAuo/iavFItNLWC7SAq1UhdTC2zdXHaCUw4wSXFMVt2BTQTZjeS2DvowXoRwdmhxidqv312cJYLZWjBO0StW2VgygHHk4WasJPt4lJ0LAow70hpL37hStBrUqFgs0oAgDmhdyCLsaBViolanXnwz5pjpPm4kjWp+qdishRf3bS0LGdtXOsWpAMRq0kd9ClchHpTbyeyWxX0nxzdNK0DYcrCzTnJiTsjkT0XhJf7JYS/yYJdFUJJ8BCUMNWrxqG062OSg15CQJY5tVtp+2oFWdcCPbSEbfo5/yFn/7SKaZoU51iU2282R7RsJrdSHTrwhUhZ2IcVLotm4SpB2yvTtXS+z1S5vlRJ1WbVBtW85Agbpdtp/Vvr7hbe9EXKTNxiGtR22vOjR921Zeo/TlsnwlDFkMp/odJdvNu9CploNsg8rJKF7Njzcsx9E2HD6UgKv8xliA0uB7MEMbWWbV2kiuyIy0/erAfPTBAzuswdeSB7vaJhby/HLCjPz+kZNfZqIIbdrkHbdNl2lb4c+QkxN/R4PTqe8UGhoamrDnMZ7D7HlSPZ/xvOZUtSWeeBUBZUjfM844I3jgsiAi1DFdycFkv90xEnpL9vHWHDQVnawOVspBa+MgtH5AOrF5ykHB0Oo3oQYc5cjx9atgiRzQjwwkyvP35I5UjpQwi4QEJMgiB8flAHzkAWg5kJlYWFJeR1HUtsmB2tBwYCg50BzrYLMKceRLJl4nwQEJnUiAZchRpgIpBgncyW0SCJODzvJ1fazoZOT4+1XgSR4rYcTowU67eg0yrVT0k4PyEqwIDaVIuEWq4Ug4Qr8vfONFlqHbXqgOBsv7JdUJS1zN6nVI2M7p61ft8NmcKigUerBYDvTL4yVII0EOFfLMk4CWVT1eDj7LfGV5ym1CXx+L1e1FHmmzTR2wljbIY2RZSSBFX9/MN7Rk+cprlunlQL2ETErc+gHtPme1WmZCdqWGLo/IdSw0tCIH4AvdbWqe8hqlvdJWCWFIqEneI3m9EgqV1yqBEQnSCvl8DDlKzIMSIW2WoKIEDPodleq9l7CYrNOyrsuBe6m6VqWCgYOqmpkEBEODMRKAlECGhHRkOclBf/lXLVdbsVq3pOqRBExkmUtAS4YAlyCphLYkNBOALDObHkR1t6jnkHVE5iMhFTmrriuvQb3X9X3hJfSbi1aof2V56yEk/fU6fb0qfCrrqTyvBJxC1xG5yDIzgpcSLJGAlryHA1KhKSTMoaotFSxV7fFbncGwk/GehlLBs/yFqpqpmaPFp8YMRhvrhLFeSL8i67p8JlVYo2iFChp6rU7V50nAQpa5tEnCEDJvIxwonz9VhS1vlrq/rWCxCmHJ515euwTl5PYe50x4bbnqNevLTT53EtLKUeuYWh8sjuFQbJNaf+R9zfP2qNsktGWEtCRUKZ9tWZ6yHEOrucr0EkIbeZ0VyPd2DFeKi12RVwJkEtSUtVfWd/mMCumPQ/tkaYe0W95HWf/HGpoxCzbL5z/R4JMsVyOAF0nWNyOkYqy/Br3/11DiOqb6IiHvm4RhzUiAK9fXq+6XwKCQz5IE50LJOhEapNOnLw8G1mSZSrW+UMfsRarfk3VAKsTJZ6wjb17CJy9InxUvyCNtkmCxfLakvxsd9gsn63LoZ1nWN7vfrfq9yMCo9JUSbtKncakwpVyX9a1fqp5ZbGrdFXq/5w32eyLX161Cj0ZVYvkel9cjf+uBb0vU99jo4yXMqbYRho6q7zGZt7xP0v+FbgfJ50Mu6htC01RQ0ahmKOuIfOYkyKQCp7ai4c+AHtzsd1ar4KKcTCGfW+krzJaztFVvr4byocP6Z8+ao95T+U6RduptsJiGMyeTtCvask0XtS3v0U+4GMyZmB2/iXxmUrFs9fd59DoiJ6xIv6P3ycPVuxOktr1yaoa3tWL/fJfPQWi/HUqG4FTDY0aQ8I8ttxoD/sHhwHwR8msWYGm+Uw+JWIDtRy04aj8V1d5jqLH2ICevEDk1I9vM9tJ6FJeOvK6YvxLLZgO5JXq1vPyRz5StoALl9fMBqXTuLAZKZ+sfGdvw3KzDJZUKQnaQSeOM8mQTRVUNHFZUC3gGAXevHgDMM1lfZUhhCQZKVaHcUqC3CXD1BCt+pZJlOLA2GSRcZYTeZhTnot/tU0EOCWYaW8Oje8jh2/NzUOjUgz7GPCQEJbdHe4xBplbTmXx8JVwjfbhRcU9CN/qQwKO3z+V+abeqxmexqNCc/GsEuGQ5yjTytsk0nQNuVdnLCE1FI/eNJbhkLE8VaBwOe0W2Wl5HXUmuCgRKxkZCiepxOXbk58hQqgH1mmU6abMx3GxkAMeSQBgqkiwbqVg44PKp55Bwkhk9LOlQF4OEqiR8ZpXHJRBilRBZaNAxXvU8CcFJaEbeO7OQ6FhJf2cE2mQ5S9gw8r2VZ5P1SK9YpqnlIu0IDSpGTm+2DOT9sVu9KiRWOBw6jUaCVhLok2lCX68Er+TxEjKUWwtyJnb3rgpAFuSgJKCprtfscxbrfVOVD7OMvK+yHkg10mivQZaC8RlOhgT1SnMdKswp61tpvkMNL2x81i3DgbMSmxNtvsGwz7AKdmpSzTL2MnVa7XBL5VkT1xXOx2Z3Gw4PV6W9IH8mmnz6cOMuzY/G4Uqq0b4HJEDrC1kXGhxFKpwnnhk8gnKrE2fLiVnQ8Nc+/aTb8/LqUGXLxwZ3C5wWG87KrUVRyH4BISG0LjmJVUY3sQ6HuYa365v9g+o+aUGlNTcYzFsasu24zDkSSBPyvSPV+eQSi0xXHxLoi0emn+0Y/r0R52s49HNrt0ooWH/fziivUpXM2rwunFBUirK8HFU18MyBKnS7vSh0OFBXmoeaJv23bX1pXjD0LvNcWF2EhcObna19LhzqGFR9goSoJah8tGsoePDrLG14P1jEQcKzA3XohEtVoJvpLFSh3CFvSKgUDlygNaghXAuREwzYCbm+UqtV8+zAkDroVo189XzRzEWJCqNJxREhwbiS2FuNQRLOuyawAN3Qw+ilRpnkkPtP12ZgE1rgtegV+eR1SVW/SHJAUo+Vj80CrUy9XqOCyQWBBnXw84SQQGQs0murtiFftVMquhrL9gwtpFp5CLn/HK1+eIh7+eWtqfdOnleCnQY5mCsHncdLnmN2FofkZHlJaNGrBdT7bQQWiYiIMoF8L82TKrvjL+ZOcbYHVhnbwRNItpuMky9CyUkT7oAf3RaXCuBJlb3JIm2qiWiTbNsnS0J1C2TPnWa+fEN/H8j2eOTJMhJmVe/B8OOTPRHFjMxDQoax2rwsBdvD2WZaBv5yc0cOCnhkCNg43O7hEuZ5eRP2PMZzmD1P5HxC/052PoODg+N6zal6TfEkMuywYfWc01FRM7ZkdDpFO+N/qkrXq83WxZyKL74JFbgANk8PArY8aFL5RCTQZIvfqwcBpRJLJlNH+2S8mMk4MLE6bPnYXF0I5BQi4MiPum5M3Hq9eni4OssEvfbUNdzi9wASJBr+159bDvM47zifB9niQlj8bj2sZ7Xr64gawkj2CGfHAba0LOsUfJjM53AhLL4hFeQLOOIdPLoc2b6sLd4B2Nw98OdVQjPCOfEEfCrwqIVUwoj5HNEaLeu5VOiT+SS0rl9kMo9LEniiJKjKhxJmDR0mL4tYJme7Jdojkn0LjOllVQhWfgmZu1TYMP4Om/XwH3JwVA6wSwUmp0M/ICRDSKogjQoQ6YeIQp8nENDUQXo5MCtho9qSXOxr7VcBmZ0Rw6yJc0+8SIXt5L5U/GrJy7HCZrGq8IUErpq6B3HCjBLMKMlVlbyk4lueUx8aVA6eh4ZxxuLc+oAazlHCSakM2IxSdxYyXv25qZ2fhDFk+D/Z7rJYYZG/C2vNt8N8MvSpVDMM2Y529+nbbrLdONCmBwtLG/ShjvuPAxUL9WqIElQ05jHYpldHlNv9fqBdqtJagPxyoHmL3qbqE/R2yXZWQSXQewworAJ6m/VAY5ENKJujD8fYFzK8d3E94BuU0o9A2VzANwR0HgI8IeGRwmrAWQQ4S/R+u/sw4OoG/N7waolG+k761PrT9Odqeys8gBn63LFULtaXVV9iw7kFCvVAjW2828N2p14hMlkSeJW2SjhWgqNS2VLCsMbyk9v7WgC/G6g5Ub33gdJuDNhLkZObD6erXV8vak8CDr+kX8/J19cD+R2WX6k/Vipnyvso64I9V1+HmrcCpbP09yPgBcrnATK0uSzrvBJ9XVCB3XL9MdIWEatvUBU6h99P1aFaRx4j65i8NxL0lfU7dD6hw3GadfaR9w//3TzUhj7fAGbl1yLH6gj5DrDAKifMefv12y2AJ+BDvi1X3SffF/Kd4Aq48WbPPuTZnBiQdTj0LZUKlRgfFQRMYvrRv5ylctTk79C1xHnOkpwizCmow4H+o+jzDqAytwy5Uq12sCW4D0w+V5EWFM1Ct7cPvZ5+LCqahUMDzej3DeKE4nlodrWjPq8aubYcLCyahbWtm9R7V5tXAd/wkLi1eZU4NHAMA75BNOTXqufwaX44rHYU2POC76F8b8r7XOEsRb56b13Y1r0HK0oXoSpXjx/LPHu8/fBrfvXYIb8bLa4OzM6fgcLh3+cuvxuDPhdKcvRt/G5PP9rdXZhbUK/WoV7vAEochcgJqTwbkN+rEjyx2lX7JKzjDfjwVu9B5Nqcal097mqH2+/FgqIGNZ3+uICav8z3jc6dqMurUq9fvovl+ezD+1VkOn0/QeLf0ZGHvpYZVyLeI5m3tFXaZDyH3NY81K7aXiF9eYj3Rsz3YxF/Xx2jTVaTz5clpL0Tf7jOMPFHX+W16vX6R8haGBmEP+uU+POSw2qRp5wYNbllm7a5Wx/WXvo32ZarL8tTYeUjnYNqmPL5VQXBoLhs28pCl6qrLb1uVbW11GpR25wSTO0d8qnQv7wvsm27t3WkWoY+jshoeixdlxfxukfqRycnfPDhEafkW9Ax4ILT4sS+4W3mIY9e4XZWRT4OdwyEreKlBTkYdOvb80JC1PJaJWDb3u/GgupCVYVW1n0ZMl5OLDB+wZt93hL5BKqTD4b/Nb4Wk2H0o6GfFct41uDQ79WxiDJ09mTQ0jiHNL7sDBZ9oXB5jQUXWkqlYCXkOzJCTqjORGa/NbJDtrZ7bKbTq52I45WTJWs/TibyW6XYyW8wlU3LwF9RUVFSQ83KcL6JDoU71ucxnsPseSLnEyvwF28+Evgbz2tO1WtKpetPOCepgCAREREREVFKGaOcS7HZaGLdR5QuM1aOXJ//tnS2hCbC4muSm/4kZL0E8jFxnZeCeUxX54zz8efHuO/amfpIH4gSbkqGxPcunnVWzECn1ESIrA0ge2RD98pWRDzGLNgfWk9MFa8dvpw8Y+QDNy/K44z6dZc3rIr6Wiby9C6Zt9PktuTqFVO6SMBuXpRd5rNqpPJIuNCa+/V1o9/nyLByFpyqEYZ9OxERERHR9HL06FFMddlR8iXFJDBXUVGR0Jvc1dUVDK41NCS3Cyk0hBbveUKHsI18nrHMR84yiwzBGX8nsmIb84lsS319fUpeExERERERERERERERERERERERESVnWgb+xAkn6AXk9+3bB5/PF3W6t94aGTJm6dKlY3qOyPkk+zxjmY8E7AoKCkzn09PTg+PHow9909zcjN7eXtO2SIU/I7w3ntdEREREREREREREREREREREREREyZm2gb9zzz1X/SvV+zZu3Bh1uhdffDF4/ZxzkhuYYu7cuairqxs1HzNr164NVtCbM2eOaVvjzUdCfHv27Ina1kTnE+81G/PZvXt3zODgeJYdERERERERERERERERERERERERhZu2gb/rrrsueP33v/+96TSBQAB/+MMf1PXS0lKsXr06qeeQYXWvvfbaYLW71157zXQ6ud2ohifTy+NCLVq0KFgh74EHHsDg4KDpfO65557g9euvv37U/ddccw2sVmvM1xw6H5lWHhNr2YU+Zyhpo7TVqCwor4GIiIiIiIiIiIiIiIiIiIiIiIjGbtoG/s444wycd9556vrdd9+NV199ddQ0P/jBD7Br1y51/ZOf/CQcDkfY/S+88IIK58nllltuMX2e//zP/4TNZlPXP/GJT2BoaCjsfvlbbhd2u11Nb+a///u/1b+dnZ347Gc/O+r+/fv341vf+pa6vmDBAtPAX21tLd773veq6//85z/x0EMPjZrmwQcfVPeJ973vfeoxkWTe8+bNU9flOeW5I33mM59BV1dX8DoRERERERERERERERERERERERGNz7QN/Imf/OQnyMvLg8/nw2WXXabCa1Jtb82aNbj99tuDwTqpTvfpT396TM8hjzUCb2+88YYa2vavf/2rui7/yt9yXch0CxcuNJ3PBz7wgeCwuL/4xS/wrne9SwXz1q9fj5///Oc4++yz0dvbq6ry/fSnP1XhQTPf/OY3UVVVpa6/5z3vwec//3m8/PLL6iLXb7rpJnWfTPONb3zDdB4SfPzZz36mnkueU9olbZC2SJukbb/85S+Dw/9KcJCIiIiIiIiIiIiIiIiIiIiIiIjGx6JpmoZp7LHHHsPNN9+sgmvRAntPPPGEqpoXSSr8GcP8SiAv2vC2MjTwRz7yEfzud7+L2o5bb70Vv/nNb4JD7pppb2/HlVdeiQ0bNpje73Q6VfDuwx/+MGJ5/fXX1bC8x48fN71fqvo9/PDDOPPMM2PO57e//S0+/vGPw+PxRK2iKMuusrISqXb06FE0NDSo642NjZg5c2bKn4OIiIiIiIiIiIiIiIiIiIiIiLLH0WmQKZrWFf7E1VdfjW3btuFTn/qUCvfl5+ejtLQUK1euxHe+8x1s3rzZNOyXDAnxybDBEn679tprUVdXh5ycHPWv/P3kk0/irrvuihn2ExKcW7dunaqeJ5XzKioqkJubq4bXlUDhxo0b44b9hAT5tm/fji996Us48cQTUVhYqC7Lly9Xt+3YsSNu2E8Yzyn/ShukLdImaduvfvUrvPLKKxMS9iMiIiIiIiIiIiIiIiIiIiIiIpqOpn2FP8pO0yGNS0REREREREREREREREREREREiTs6DTJF077CHxEREREREREREREREREREREREVE2YOCPiIiIiIiIiIiIiIiIiIiIiIiIKAsw8EdERERERERERERERERERERERESUBRj4IyIiIiIiIiIiIiIiIiIiIiIiIsoCDPwRERERERERERERERERERERERERZQEG/oiIiIiIiIiIiIiIiIiIiIiIiIiyAAN/RERERERERERERERERERERERERFmAgT8iIiIiIiIiIiIiIiIiIiIiIiKiLMDAHxEREREREREREREREREREREREVEWYOCPiIiIiIiIiIiIiIiIiIiIiIiIKAsw8EdERERERERERERERERERERERESUBRj4IyIiIiIiIiIiIiIiIiIiIiIiIsoCDPwRERERERERERERERERERERERERZQEG/oiIiIiIiIiIiIiIiIiIiIiIiIiyAAN/RERERERERERERERERERERERERFmAgT8iIiIiIiIiIiIiIiIiIiIiIiKiLMDAHxEREREREREREREREREREREREVEWYOCPiIiIiIiIiIiIiIiIiIiIiIiIKAsw8EdERERERERERERERERERERERESUBRj4IyIiIiIiIiIiIiIiIiIiIiIiIsoC9nQ3gGgsfD5f8Hpzc3Na20JEREREREREREREREREREREROnXHJIjCs0XTSUM/FFWamtrC14/44wz0toWIiIiIiIiIiIiIiIiIiIiIiLKvHzRnDlzMNVwSF/KSi0tLeluAhERERERERERERERERERERERZaiWKZovYoU/ykpLliwJXl+3bh0aGhrS2h4imr6lgI0qo+vXr8eMGTPS3SQimmbYDxFRJmBfRESZgH0REaUb+yEiygTsi4goE7AvIqJ0a2xsxNlnnz0qXzSVMPBHWSk3Nzd4XcJ+M2fOTGt7iIjkxwr7IiJKJ/ZDRJQJ2BcRUSZgX0RE6cZ+iIgyAfsiIsoE7IuIKJPyRVMJh/QlIiIiIiIiIiIiIiIiIiIiIiIiygIM/BERERERERERERERERERERERERFlAQb+iIiIiIiIiIiIiIiIiIiIiIiIiLIAA39EREREREREREREREREREREREREWYCBPyIiIiIiIiIiIiIiIiIiIiIiIqIswMAfERERERERERERERERERERERERURZg4I+IiIiIiIiIiIiIiIiIiIiIiIgoC1g0TdPS3QgiIiIiIiIiIiIiIiIiIiIiIiIiio0V/oiIiIiIiIiIiIiIiIiIiIiIiIiyAAN/RERERERERERERERERERERERERFmAgT8iIiIiIiIiIiIiIiIiIiIiIiKiLMDAHxEREREREREREREREREREREREVEWYOCPiIiIiIiIiIiIiIiIiIiIiIiIKAsw8EdERERERERERERERERERERERESUBRj4IyIiIiIiIiIiIiIiIiIiIiIiIsoCDPwRERERERERERERERERERERERERZQEG/oiIiIiIiIiIiIiIiIiIiIiIiIiyAAN/RERERERERERERERERERERERERFmAgT/KOocPH8anP/1pLFmyBAUFBSgvL8fpp5+O733vexgcHEx384hokrW2tuLxxx/HV77yFVxxxRWorKyExWJRl1tuuSXp+T311FO4/vrrMXPmTDidTvWv/C23J8rn8+HOO+/Eeeedh6qqKuTl5WH+/Pm4/fbb8eabbyY8n/b2dvW6VqxYgeLiYnWR63JbR0dH0q+NiCbOG2+8gf/5n//BZZddFuw/CgsLsWjRInzwgx/Eyy+/nNT82BcRUbJ6e3tx//33q99KF1xwARYsWICSkhLk5OSguroaF154Ib773e8m/Lldt24dbr75ZsyePRu5ubmora3F5Zdfjr/85S9JtUuml75RHi/zkfnJfF999dWE5yG/86Tt8rtPfv/J70D5PSivVX4fElF2+NznPhf8rSaXF154Ie5juE1ERGMR2tfEusj2UTzsh4goFY4cOYKvfvWrWLlypeoH5LdRQ0OD6hfkM7xjx46Yj2dfRETJku2cRLeJEvmNxn6IiMbL4/HgrrvuUvuYZ8yYETyOtnjxYnUcTfZHJ4L9UQiNKIs8+uijWnFxsSarrtll0aJF2t69e9PdTCKaRNH6A7l84AMfSHg+fr9fu/XWW2PO78Mf/rCaLpa2tjbt9NNPjzoPp9Op/fa3v43bntdee02rra2NOp8ZM2Zor7/+esKvj4gmznnnnRez7zAu73//+zW32x1zXuyLiGisnn322YT6osrKSu3pp5+OOa+vfvWrmtVqjTqPq666ShsaGoo5j8HBQe3KK6+MOg+Z/9e+9rW4r0t+3y1cuDDqfOT34WOPPZb08iKiybV582bNbreHfX7XrFkTdXpuExHReCSyTSSXCy64IOo82A8RUar89Kc/1QoKCmL2J5/85CdNH8u+iIjGSrZzEt0mMvbTHD16dNR82A8RUSocOnRIW7ZsWdy+6BOf+IQWCARM58H+aDQG/ihrbNq0ScvLy1MfjsLCQu2b3/ymtm7dOu3555/XPvKRj4SF/np7e9PdXCKaJKFfnLNmzdIuu+yyMQX+Pv/5zwcfd8opp2h/+ctftPXr16t/5W/jvi984QtR5+Hz+bRzzz03OO073vEO7amnnlJf5rJjp7q6OvjD6cknn4w6nyNHjmhVVVVqWjko9tnPflZbu3atush140CZzK+xsTHpZUZEqTV//nz1mayrq1M7aB966CHVf7z66qvaD3/4Q62+vj7YL7znPe+JOS/2RUQ0nsBfQ0ODChf/5Cc/0f7+97+rfuiVV17R/vrXv2o33HCDZrPZ1Oc2JydH27Jli+l87rzzzmD/If3b3Xffrfqhhx9+WFu9enXC/dm73/3u4LTyOHm8zEfmZ/Sbcvn1r38ddR7yu05+3xnTyu8++f0nvwPl96D8LpTb8/PzVZiIiDKT7Gg1dqQa2yHxAn/cJiKi8TA+9x/96Ee17du3R70cOHAg6jzYDxFRKvzv//5v2LGr733ve9oLL7ygfr8899xz6u+zzz5b+9SnPmX6ePZFRDRWsp0TaztILrK/yOgbLr30UtP5sB8iovHyeDxhYb8VK1Zo99xzj9p3/cwzz2hf+cpXwk6O+Na3vmU6H/ZHozHwR1lXPUc+HHKAJ9J3v/vd4AdTKlIQ0fQgGwFS1eX48ePq74MHDyYd+Nu9e3fwi3flypWqIk2ogYEBdbvRB0WrJCoHsI3n/tjHPjbqfnmcUaV0wYIFmtfrNZ3P+973vuB8HnjggVH3h/4ISybUSEQTQypdyedSfihEO1soNLDy4osvmk7HvoiIxiNaHxTqH//4R/Bze/3114+6v6OjQyspKQmeSCH9V+RzXH311XHDOhLKM6aR6SPbJvOV+cv9paWlWmdnp+l8vvzlLwfnI7/3IkmY0eg3Y1XoIaL0+tGPfqQ+p0uWLFE7XeP1IdwmIqLxGu8+YvZDRJQKEugzPptyYpYc7I7GbEQI9kVENNEklGJ8bu+7775R97MfIqJUePDBB4OfzbPOOst0P/Ybb7yhORyO4P7iyH6A/ZE5Bv4oK0ii1vhA3H777VHPGF+6dGmwE4j144mIpq6xBP7kjG/jMXI2gRm5PdYGgDD6oPLycrVhYUbOSoi1AdDc3BwcQu/yyy+P2ma5zzjDQB5DRJlNgsmhJcnNsC8iosmwePHi4NC+kb7zne8E+wY5M9KMnJFoVAqUIXvNXHHFFcGdK9HOYJT5xwrzye85I3wo/Vq0oRjk96ExHzmjk4gyy+HDh4PVOKWajYRv4gX+uE1EROkO/LEfIqLxkt8vCxcuVJ/Lk046KerB4ljYFxHRRPdTxsg08pvNrH9gP0REqSCVjI3P96OPPhp1OjlB3Zhu27ZtYfexPzJnBVEWePjhh4PXP/jBD5pOY7Va8f73v19d7+7uxpo1ayatfUSUvWQ/8COPPKKuL1myBKtWrTKdTm5fvHixui7T6/uPR+zZswe7du1S12+88Ubk5+ebzueWW24JXv/HP/4x6v5HH30UgUAgZn8XOh+ZVh5DRJlt9erVwev79+8fdT/7IiKaLEVFRepfl8sV9XdXcXEx3vGOd5g+fubMmbjkkkvU9eeffx59fX1h98vfcruQ6WR6MzJ/eZ5o/ZD8nuvp6VHXP/CBD6jfe2Ppz4gove644w709/erz/EFF1wQd3puExFRurEfIqJUeOaZZ7B37151/XOf+xzsdntSj2dfREQTTfbdNDU1qevvete7RvUP7IeIKFU8Hk/w+rx586JON3/+fNPHsD+KjoE/ygovv/yy+regoACnnXZa1OlCdx6/8sork9I2IspuBw8exLFjx9T1eAegjPvlR9ChQ4dM+6l486mtrcWiRYui9lOJzof9HVF2cbvdwes2m23U/eyLiGgy7N69G1u2bAnuHAklO1HWr1+vrp911lnIycmJ+9mXvu2NN94Iu2/Dhg3BHTKx+g+Zv7FzRh7j9XrH1A+tXLkyuHOG/RBRZnnggQfw+OOPo7y8HN///vcTegy3iYgo3dgPEVEqPPjgg+pfi8WCt7/97cHbOzs7VRBQ/o2FfRERTbQ//OEPwetGQZ1Q7IeIKFWMEJ44cOBA1OmMYhmy/bRw4cLg7eyPomPgj7KCkbRdsGBBzDOhQg9aGY8hIopl586dweuRB76T6WPGMp/GxkYMDAyYzqekpERtUEQzY8aMYFUc9ndEme/FF18MXl+6dOmo+9kXEdFEGRwcVAeUfvjDH6qdDD6fT93+n//5n6POcPT7/Wnph6RNRvWLZOcjvw/ld6JZW4gofWTkhU9+8pPq+ne+8x1UVlYm9DhuExFRqgM3J5xwgjo5QKocy0EjqTgaa2QY9kNElAqvvfaa+nfOnDmq//nzn/+M5cuXo6KiQh1Aln/l4LecFBF6kqiBfRERTSSpwm5UrZo9ezYuvPDCUdOwHyKiVHnPe94T/FzKPiJjH3SozZs344knnlDXb7rppuD0gv1RdAz8UcaToaba29vV9WjDQRnKyspUFUDjw0dEFM/Ro0eD1+P1MQ0NDcHrkX3MWOYjpYRDHxc6n3jzCJ0P+zuizCblur/97W8H/5ZS4ZHYFxFRKt1zzz3qTEi5yO8jOaD06U9/Gi0tLer+z3/+82rHSab0Q7HmI+0vLS1NaD5tbW2mB8uIaPJ99rOfxfHjx3HOOefg1ltvTfhx3CYiolSSAzFyYGVoaEgd2N63b5+qZnPRRRfh+uuvR09Pz6jHsB8iolTsB3rrrbfUdTnpQU6CeO9734sdO3aMOunqM5/5jOqT5GSJUOyLiGgi/e1vfwsGWG6++Wa1/ygS+yEiShXZHrrvvvvUiVhS6e70009Xv8vkBInnnnsOX//619WJ6jJqzKmnnoof/OAHYY9nfxQdA3+U8fr6+oLXCwsL405vBP5kJw4RUSr7GKN/MetjUj0f9ndEU8ePfvSj4DCZ73jHO3DaaaeNmoZ9ERFNhpNPPln1R9/61rdG7cydCv2Q2XyIaPK99NJLuOuuu1QFzjvvvNP04FE0U6EvYj9ElH5yIOnd7343fvvb36o+SapFPPPMM/jiF7+oqmqJhx9+GNdeey28Xm/YY9kPEdF4SZhYQn9i+/bt+OlPf6oqvPzxj39UQ/lKFXYZCWLVqlVqmnXr1uFDH/pQ2DzYFxFROofzFeyHiCiVrrnmGmzcuBEf/vCHsWXLFlV5/ayzzsKll16Kr33ta+o33I9//GP1+62mpibsseyPoos+NipRBlX4M+Tk5MSd3ul0qn/lzE0iolT2MUb/YtbHpHo+7O+IpgbZgSuVtER1dTV+9atfmU7HvoiIUum6667DypUrg5/N/fv344EHHlDDtcgQCrLz5O1vf/uU64fM5kNEk0vOxr7tttvUGdCf+tSncOKJJyb1+KnQF7EfIkq/pqYm0wrBcjDpE5/4BK644goVApTfa/Ib7T/+4z+C07AfIqLxCh32TT7DcgBbhhKXIXwN559/Pv71r3+pA91bt25Vv9Vef/11nHnmmcHHGdgXEVEqSWWqF154QV2X4LGMCmGG/RARpXp/kYSNH3nkEbXPKJKMTCMnR8ydO1eFA0OxP4qOFf4o4+Xm5oZ1BPEYQzjl5eVNaLuIaPr1MaFDxEX2MameD/s7ouz35ptvqmGifD6f+mw/+OCDKvRnhn0REaWSHOCWkI1cZIgEqXDz97//Xe1UOXDggKpmI8P+TrV+yGw+RDS5/u///k8NYTdr1ix89atfTfrxU6EvYj9ElH5mYT+DVIt46KGH4HA41N8/+9nPwu5nP0RE4xX6+RdSySY07GeQz+o3v/nN4N9//etfTefBvoiIUkkCNUYVUqmwFQ37ISJK5ckQl1xyiRp1Rqodf/azn8WuXbvUZ1UqI0s19nPPPRdvvPGGOpH9hz/8Ydjj2R9Fx8AfZbyioqLg9URKXRpnTyVSQpOIKJk+JvTszMg+JtXzYX9HlN0OHjyIyy67DF1dXbDZbLj//vvV2dvRsC8iosnwvve9DzfccIPasfvxj39c7WCZSv2Q2XyIaPJI0E923hoBmtDhTxI1Ffoi9kNEmW/evHmq2p/Yt28fjh07FryP/RARjVfo51/I/qFoLr74Ytjt+mBsGzZsMJ0H+yIiSqX77rsvWHXq3/7t36JOx36IiFJFhuyVoXrF3Xffje985ztYsmSJqpBXXFysfptJNeTVq1er6n+f+cxnVAVkA/uj6Bj4o4wnCdmKiopgmeFY5KC68aFpaGiYlPYRUXabOXNm8Hq8PqaxsTF4PbKPGct8LBZL2ONC5xNvHqHzYX9HlFnkYJGcrST/yuf8d7/7naqmFQv7IiKaLEZ/JL+bnn766Yzoh2LNR9rZ3d2d0HyqqqrChlsgosn1ox/9SJ3dLEGawcFBdcJD5GXHjh3B6WUYO+N2Y18Ot4mIaLKccMIJYUMAG9gPEdF4yW8S+W1iiPWZlONflZWV6npbW1vwdvZFRDQRpHrWzp071fW3v/3tKCsrizot+yEiSgUJ8MkxMiFDiEerLConQPzv//6vui4nq4eOTsP+KDoG/iirdsDIGZcyLF6ss8kNS5cunZS2EdHU2cEb2ock28eMZT7y5R5Z9cKYj5QwPn78eNR5NDc3o7e317QtRJQ+7e3t6mwkGTLTqG7z/ve/P+7j2BcR0WQJPfB0+PDh4HXZ4SIVSdPRD8kOnYULF45pPvL7cP/+/aZtIaLJZQxTIttB73nPe0wvf/vb34LTy45c43bjADe3iYhossiBGzPsh4goFZYtWxa87vf7Y05r3G9U+hPsi4hoIvzhD38IXo81nK9gP0REqdDS0hIcZeaUU06JOe1pp51m2l+wP4qOgT/KCjJmt5Azvjdu3Bh1uhdffDF4/ZxzzpmUthFRdps7dy7q6upG9SFm1q5dq/6tr6/HnDlzTPupePORL/49e/ZE7acSnQ/7O6LMIxv3l19+efAsyW9/+9u44447Enos+yIimiyhFWxChxKQIRTOOOMMdf3VV19VVbriffalcsXKlSvD7jv99NPVvEKnMyPzf+2114KPcTgcY+qH5Ox0ozIY+yGi7MdtIiKaLMbvNmH0O4L9EBGlwvnnnx+8bpwUakYOAsvJo0ZfYmBfRESp5vV6VXV142TQK664Iub07IeIKBVCT2iIVdjL6KfMHsf+KDoG/igrXHfddcHrv//9702nkdKexpkJpaWlaoxvIqJEzug2hraTtL5x4DmS3G6k+WX6yDPBpSqOkc5/4IEH1BBWZkJLEF9//fWj7r/mmmtgtVpj9neh85Fp5TFElF7ymb/qqquwadMm9fcXv/hFfO5zn0v48eyLiGiyPPjgg8Hry5cvN/3dJQed/v73v5s+XoYqeO6559T1iy++GEVFRWH3y99yu5Dpog1tIPM3znA064cuvPBClJSUqOv33nuvGv5hLP0ZEU0e+TzKZzXW5atf/Wpw+jVr1gRvN3bCcpuIiCbDwYMH8eyzz6rr8+fPDwvZsB8iolR45zvfGbz+j3/8I+p0cp/xW+e8884L3s6+iIhS7amnngpWVr/pppvCwjRm2A8RUSqUl5ejuLg4eJJ5rNBfaEBOQn4G9kcxaERZ4rzzzpNfPZrdbtfWrVs36v7vfve76n65fPWrX01LG4ko/Q4ePBjsCz7wgQ8k9Jjdu3drNptNPWblypXa4OBg2P3yt9xu9EF79uwxnc/dd98dfO477rhj1P379u3TiouL1f0LFizQvF6v6Xze9773Befz4IMPjrr/gQceSPo1EtHEcbvd2mWXXRb8XH7yk58c03zYFxHRePz+97/XhoaGYk7zwx/+MPi5nTt3rubz+cLu7+jo0EpKStT9s2fP1trb28Pul+mvvvrq4DzWrFlj+jzPP/98cJprrrlm1PO0tbVps2bNUveXlpZqnZ2dpvP58pe/HJyP/N6LJL8LpT+U+y+44IKYr52IMoPsr4nXh3CbiIjG49FHH436eRbHjx/XTjnllODn9gc/+MGoadgPEVEqXHHFFepzabVateeee27U/c3NzdrMmTPVNDk5OdrRo0fD7mdfRESp9M53vjP4Gd24cWNCj2E/RESp8J73vCf42fza175mOo3sHz7hhBOC0/3zn/8Mu5/9kTkG/ihrbNq0ScvLy1MfisLCQu3//u//tFdffVX717/+pd12223BD8yiRYu03t7edDeXiCbJSy+9pA5wG5fvfe97wf7gnHPOCbtPLtF8/vOfDz5Odvzef//92oYNG9S/oTuCv/CFL0SdhxzMluc0ppUfUE8//bT2+uuvaz/72c+06urq4E6eJ598Mup8jhw5olVVVQU3Sj73uc+p1ykXuW4c2JZpGhsbx70MiWh83vGOdwQ/9xdddJG2bds2bfv27VEv8sMkGvZFRDRWEtArLy/XPvKRj2j33nuv9vLLL2tbtmxRn9lf/vKXYf2CHEx69tlnTedz5513BqebP3++9rvf/U71Q4888oi2evXq4H2yoyaWd7/73cFp5XHyeJmPzE/ma9z361//Ouo85Hed/L4zppXfffL7T34Hyu9B+V0ot8vvxM2bN497GRJRZgT+BLeJiGg820R1dXXaJz7xCe3Pf/6zOkFAthNk2+eLX/yiVllZGewXzj33XM3lcpnOh/0QEY2X7P+RE5zk85mbm6v6lbVr16q+5Be/+EUw7CeX73znO6bzYF9ERKkgQRqn06k+oyeeeGJSj2U/RETjtWvXLi0/Pz/YB8gJ5Q899JDK/8jvNTlJ3Tg5XC4XX3yx6XzYH43GwB9l3RmaRqLW7CIHg/bu3ZvuZhLRJJJUfLQ+wewSjd/v1z70oQ/FfOytt96qpotFKtacfvrpUechP6p++9vfxn1dr732mlZbWxt1PnKfTENE6ZdMHyQXOQAVDfsiIhor6VsS6YPkoNIzzzwTc15f+cpXNIvFEnUeV155ZdxqgnJWpUwXbR6y0ySRyuzy+27hwoVR5yO/Dx977LGklxcRZXbgj9tERDTR20RyYKerqyvqfNgPEVEqyEHfmpqaqJ9d+d31pS99Kerj2RcRUSr86le/ijmCQizsh4goFeQErNCTr6JdpKhGtNFg2B+NxsAfZZ1Dhw5pn/rUp1S4T5LAcoaUlOeUM6AGBgbS3TwiytLAn+GJJ57Qrr32WnU2uFS/kX/l71gp/khS3lcq6ciZ4hUVFeoMznnz5qmKOzt27Eh4PrLBITt85IwrqWAjl+XLl6vbIofYI6L0SaYPihf4M7AvIqJkvfXWW2pIOqk6umLFCnVQSc4kLCoqUhX15KC2VDtO9DfTK6+8ot10001aQ0OD6ofk7MZLL71UVcpJxp/+9Cf1OHm8zEfmJ/OVszcT1d/fr37vye8++f0nvwMXL16sfhfK70MimnqBPwO3iYgoWS+88IL29a9/XXvb296m9h9LBWTZJpJtCPnM3n777Ulth7AfIqLxks+nbAOddNJJ6oQl6QPmzp2rffCDH1SVbRLBvoiIxuPss89Wv8FkOMympqYxzYP9EBGNl3w+ZR/vhRdeqCrfORwONXKLbBfdeOON2sMPP6wFAoG482F/NMIi/wMRERERERERERERERERERERERERZTRruhtARERERERERERERERERERERERERPEx8EdERERERERERERERERERERERESUBRj4IyIiIiIiIiIiIiIiIiIiIiIiIsoCDPwRERERERERERERERERERERERERZQEG/oiIiIiIiIiIiIiIiIiIiIiIiIiyAAN/RERERERERERERERERERERERERFmAgT8iIiIiIiIiIiIiIiIiIiIiIiKiLMDAHxEREREREREREREREREREREREVEWYOCPiIiIiIiIiIiIiIiIiIiIiIiIKAsw8EdERERERERERERERERERERERESUBRj4IyIiIiIiIiIiIiIiIiIiIiIiIsoCDPwRERERERERERERERERERERERERZQEG/oiIiIiIiIiIiIiIiIiIiIiIiIiyAAN/RERERERERERERERERERERERERFmAgT8iIiIiIiIiIiIiIiIiIiIiIiKiLMDAHxEREREREREREREREREREREREVEWYOCPiIiIiIiIiIiIiIiIiIiIiIiIKAsw8EdERERERERERESUod7//vfDYrHg4x//ODLZ4OAgqqurVVtfeOGFdDeHiIiIiIiIiGjKYuCPiIiIiIiIiIgoCRJmklBTopd77rkn3U2mLLV+/Xr88Y9/RE5ODj7/+c/HXBe/9rWvJTTPW265JfiYQ4cOpayt+fn5+K//+i91/T//8z+haVrK5k1ERERERERERCMY+CMiIiIiIiIiIiLKQF/60pdUcO5DH/oQZs6ciUx3xx13oLy8HFu3bsWDDz6Y7uYQEREREREREU1J9nQ3gIiIiIiIiIiIKFt99KMfxcc+9rGY02RDUIsys7rfs88+q65/+tOfRjYoKirCbbfdhm9/+9v4xje+gRtvvDHdTSIiIiIiIiIimnIY+CMiIiIiIiIiIhqj6upqnHjiieluBk1BP/nJT9S/Z555JhYsWIBscdNNN6nA3/bt29WQwxdeeGG6m0RERERERERENKVwSF8iIiIiIiIiIiKiDNLT04O//e1v6vp73/teZJPly5eri7j77rvT3RwiIiIiIiIioimHgT8iIiIiIiIiIqJJ8LWvfQ0Wi0VdjFDX//7v/+KUU05BaWmpuv2ee+4Z9biHH34YN9xwA2bNmoXc3Fw17cqVK/H1r38dXV1dcZ/36NGjuOOOOzBv3jz1+Lq6OlxzzTV47rnnTNsV6tChQ8H7zNoWas6cOWq6W265JeZ0mzZtwr//+79j8eLFKCwsREFBgbouwyPv2bMn6uPk+Y22SLsCgQB+85vf4Oyzz0ZZWZmaz4oVK/DNb34Tg4ODcZeLPP4vf/kL3vnOd6plm5eXpy6LFi1SIbuHHnoIXq9XTSv/1tbWqud+29veFnfeO3bsCLb1u9/9LpL1yCOPwO12q+vSvskSui4kcom2ThhtlnXX5XJNWvuJiIiIiIiIiKYDDulLREREREREREQ0yfbu3YvLLrtMBdeikTDfu971LvzrX/8Ku12CYBs3blSXX/7ylyoctmrVKtN5vPTSS3j729+O3t7e4G3Nzc147LHH1EUCXpNFAnb//d//jR//+MfQNC3sPgn6yeWuu+7CL37xC9x2220x5yWBPll+zz//fNjtMoysXB599FG13CQEaEaW+/XXX48tW7aYvjdy+fOf/4w1a9aoIWkdDgfe//7343vf+x6effZZNDU1ob6+Pmr7fve736l/7Xa7elyy5HlFQ0ODCmhmG2N97O/vV+vgpZdemu4mERERERERERFNGazwR0RERERERERENMkkyCehsU984hMqQPbGG2+oanNS6c4I9V1yySUqtGaz2fC+971P3f/aa6+pAJVUsauoqEBrayuuvPJKHD58eNRzHDlyJBj2s1qtqqqeVPXbsGGDGmp14cKFKvD3xBNPTMprltf6ox/9SIX9zj//fBWKe+GFF7B+/Xr89re/xbJly+Dz+XD77berwF4sH/nIR1Qo7gMf+IBqv4Qf//GPf+Css85S98s8v/GNb5g+tqWlBeecc04w7HfRRRfh3nvvxeuvv64e99e//lW1oby8POxxH/7wh4PBxT/84Q9R2ybVAP/4xz+q61dccYWqDJgseY/F6aefjsn0sY99LBiaNLts3boVJ598cnB6qYxo5owzzghef/HFFyel7URERERERERE0wUr/BEREREREREREY2RBO5k+NZoqqur1SWSPOapp55SVeoMp512WvD6//zP/6ihb2X4Xgnphd4nzj33XDXsrATcpGLf//t//w9/+tOfwqb59Kc/HazsJwG097znPcH7ZEhgGSb4vPPOU2HDiSahRqlGKKSK36233hp2vwTbbr75Zlx11VUq5Pgf//EfKsgoFfLMrFu3Dvfdd596jOHUU09VATt5bbJ8JUQoQyZHzkOGDj527Ji6/p3vfAef/exnR7XlxhtvxPe///3gkL5ChvqV5SVhPBnK9gtf+IJp2x5//HG0tbWp6x/60IfGtE7t379fXZfhnlO1Lhq6u7uTXl8Nn/nMZ4JBSVnnJCxpRoZYnjt3Lg4ePKjCmERERERERERElDqs8EdERERERERERDRGv/rVr7B8+fKoFyPkFumWW24JC/uFkmFQZVhbIYG1yLCfYfbs2fjyl7+srj/44IMYGBgI3nf8+HFV8U5Ilb/QsJ+hqKgIv/nNbzAZvv3tb6t/3/nOd44K+xlyc3Px85//XF2XioXGsLZm3vGOd4SF/QxOpxMf//jH1fWOjg7s3Lkz7P7du3fj4YcfVtevu+66UWG/UIWFhSq4ZlblT4YffuWVV0wf9/vf/179K8E5WfbJOnr0aPB6rPBdsuuicZEhoMdCqiBKCNJYdtEqKEa2/cCBA2N6PiIiIiIiIiIiMsfAHxERERERERER0SST6nzRyBCoPT09waF/Y5GhcYVUogutpCZhOb/fr65/8IMfjPp4GXpVhtKdSFJlUIbuTeT1LF26FJWVler6q6++OqblFxqQjAybyfC/MqSw+NSnPoVkSVXEkpKSsGBf5HDBUrlRyDDM0SoUxmJUBxSRgcN0kXDjbbfdpq6vWLFCVYy0WCwxH2MMiSzhUyIiIiIiIiIiSh0G/oiIiIiIiIiIiMboq1/9qgqQRbt87WtfM32chKaiCR1id8aMGSpYFe1y4oknBqcNDVZt3749bIjaWCT0N5E2b96MQCCgrkulwVivRy7t7e1xg2JLliyJGzQTfX19o9oiHA4HVq1alfRrycvLw0033aSuP/DAAxgcHAy7X4YZ9vl8Yx7OV3R2do4p8BdvXTQuH/jAB5Jqz5EjR1RFRY/Ho6r2PfrooygoKIj7OKPtoZUniYiIiIiIiIho/Bj4IyIiIiIiIiIimmSxglytra1jmmdo+Cw0NBZvWNiamhpMpFS8nkj5+flR77NaR3Z5GlUODUaYUEKBOTk5Y2qXMayvhAkfeuihsPuMqn9nnnkmTjjhhDHNX4Y2NgwNDSGdZHjpq6++Wr2Hsrz+/ve/q6GkE2G0XcKVRERERERERESUOsmPKUFERERERERERETjYrPZot4XGlLbtGlTwoGpmTNnmt4eb+jViRb6en7961/j7LPPTuhxmTKcbaRTTz0Vp5xyiqoWKAG/97///er2119/HTt37hxXdT9RVVVlGtycbFIN8Oabb8a2bdvU33feeSfOOeechB9vtL20tHTC2khERERERERENB0x8EdERERERERERJRBKioqwsJf0YJ8iYblWlpa0NDQEHVauT+RannGsLzRRBu6NfT1SGW+0GGIJ1tlZWUwjCZD1I6nyt8dd9yBF198EQcPHsTcuXOD1f3kNb773e9OSeCvq6sL6fL//t//wyOPPKKu/9d//Rc++MEPJvV4o+2zZs2akPYREREREREREU1XHNKXiIiIiIiIiIgog0j1OMMrr7wypnksX748eH3Dhg0xp411f1FRUULhMwnQdXR0mN538sknB6sMjvX1pLI6n/B6vXj11VfHPJ/3vve9yMvLU1Xw7rnnHjV87f3336/ue+c734ni4uIxz3vevHnBIYv37NmDdPjTn/6Eb3/72+r6FVdcge9973tJPV7CoQcOHFDXly1bNiFtJCIiIiIiIiKarhj4IyIiIiIiIiIiyiCXXHJJMPD105/+VIXKkrV69ergsMH33ntvzLDfjh07YlYKNIZkfeONN6JOJ2G3aO2UinWrVq1S1//85z+jra0N6XLVVVcFw4c//vGPxzyfkpISvOtd7wou34ceegg9PT3jHs5XyBDOxvKKF9acCK+99hpuvfVWdX3p0qXqvQ2t9JgIGdq4v79fXT/zzDMnpJ1ERERERERERNMVA39EREREREREREQZRAJ2H//4x9X1devW4VOf+lTM4XRlSN677ror7LYZM2bg2muvVdcfffRRPPDAA6MeJ4Gs22+/PW57zj//fPWvDO+6f//+Uffv3r0bX/7yl2PO40tf+pL6t7e3VwXluru7o07rdrvxi1/8Ai6XC6m2aNEiXH/99er6ww8/HLNynQxRHKuqoQzrKw4fPozPfvaz6vr8+fNxwQUXjLud5513nvp327ZtanlMlsbGRrV85DnLy8vx2GOPjala4fr164PXL7vsshS3koiIiIiIiIhoemPgj4iIiIiIiIiIKMP8z//8T7Ay2k9+8hM1FK2E4GRI3C1btmDNmjX4+c9/juuuuw6zZs3CnXfeOWoeP/jBD4JD8t50002444471OM2btyI3//+9zjttNOwefNmrFy5MmZbPvaxj6l/ZdjaCy+8EHfffTc2bdqEtWvX4qtf/apqp4TDpJJfNFdeeSU++clPquvyOKkc9/Wvfx3PP/+8ej3yuqRSnoToJKwogUefz4eJ8Mtf/hJ1dXXqugT1Lr74Ytx3332qmp5UMZRqfbKsZLlu3bo1ZhBSAoTi+PHj6t9bbrklWEFwPIywpsfj+f/t3bFL1G8cB/CnH553pluDIJLaUOASDoGLo0YIjS1q4pK5pE0ngRUcuPYfxA0uQTWKIAji0j+gg6CDFA2Oyk3h/XgeOPn1Qy3r9O6rrxd8uYdTfJ7v97vJm/cnbGxshMsSRxXX7iW+2/jOYwPkaddpwc34XqP79++Hvr6+Szs/AAAAwHXQ0ugDAAAAAAA/y+fzYXV1NQXIPn/+nIJntda/k5zUwtbb25va/R4/fhwODg5S0C1e//X69esUUDtrXO/Dhw/Dixcv0njhr1+/Hjfb1cRgXNzn0aNHZ97Tu3fvUjCwVCqlUNnbt29P/d329vbjkcT11tnZmUJ0MVQXQ2tra2vp+hNx9G2xWEzrOPY2vq96GBgYSIHMGM6MY5DjmOfLsLe3d7yuBTTPEoOj/7/nSqWS2iCj8fHxCzglAAAAwPWm4Q8AAAAAmlBs5/v06VMKp8WQ3b1799J3LS0tKTj34MGD1ES3vLycwoEniY18m5ubYWZmJvT09ITW1tYUeBsdHQ0rKyupZe93xJbBGDyLrXYxXNjW1pbOMz8/n9r+YmPfr8RgYQwYbm9vp2a92CwY7yMG++J99ff3p4a52PT3/fv3tMdFuXPnTmoWLJfL6VnEVsFcLpf2jK19T58+TaG12mjd00xMTByvh4eHQ3d3d93O+OzZs/QZA5+XOdb3b8XnFschFwqFMDU11ejjAAAAAFw5N6rVarXRhwAAAAAAGiM27dWCf/5VeD4xaDkyMpLWHz58CE+ePKnb3z48PEzBxP39/bC0tJTCkFkQ2wjjSN/p6ekTR00DAAAA8Hc0/AEAAAAA/IH379+nz1u3bqURwfXU0dERFhYW0npxcTEcHR2FZvfly5cU9otNkq9evWr0cQAAAACuJIE/AAAAAIBz2tnZCR8/fkzrOLo2n8/XfY/nz5+nlr+tra3jvZpZrSlydnY23L59u9HHAQAAALiSWhp9AAAAAACALPj27VuoVCphd3c3FIvF8OPHj1AoFMLLly8vZL9cLhfK5XJqzYt7NbP4XAYHB9N1Uc8DAAAAAIE/AAAAAIDfMjY2FtbX13/6rlQqha6urgvbc2hoKF3N7ubNm+HNmzeNPgYAAADAlSfwBwAAAABwznDb3bt3w9zcXJicnGz0cQAAAAC4Rm5Uq9Vqow8BAAAAAAAAAAAAnO2fX/wcAAAAAAAAAAAAaAICfwAAAAAAAAAAAJABAn8AAAAAAAAAAACQAQJ/AAAAAAAAAAAAkAECfwAAAAAAAAAAAJABAn8AAAAAAAAAAACQAQJ/AAAAAAAAAAAAkAECfwAAAAAAAAAAAJABAn8AAAAAAAAAAACQAQJ/AAAAAAAAAAAAkAECfwAAAAAAAAAAAJABAn8AAAAAAAAAAACQAQJ/AAAAAAAAAAAAkAECfwAAAAAAAAAAAJABAn8AAAAAAAAAAACQAQJ/AAAAAAAAAAAAkAECfwAAAAAAAAAAAJABAn8AAAAAAAAAAAAQmt+/sSTTJ7t4emgAAAAASUVORK5CYII=", "text/plain": [ "
" ] }, "metadata": { "image/png": { "height": 448, "width": 1278 } }, "output_type": "display_data" } ], "source": [ "# Bandpass the audio file to limit its frequency range to 3000 Hz to 5000 Hz.\n", "# The bandpass operation uses a Butterworth filter with a user-provided order.\n", "bandpassed = trimmed.bandpass(low_f=3000, high_f=5000, order=12)\n", "\n", "# Compute and plot spectrum\n", "fft_spectrum, frequencies = bandpassed.spectrum()\n", "plt.plot(frequencies, fft_spectrum, label=\"bandpassed\", alpha=0.5)\n", "\n", "\n", "# Low-pass the audio to remove frequencies above 3000 Hz\n", "lowpassed = trimmed.lowpass(3000, order=12)\n", "fft_spectrum, frequencies = lowpassed.spectrum()\n", "plt.plot(frequencies, fft_spectrum, label=\"low-passed\", alpha=0.5)\n", "\n", "# High-pass the audio to remove frequencies below 5000 Hz\n", "highpassed = trimmed.highpass(5000, order=12)\n", "fft_spectrum, frequencies = highpassed.spectrum()\n", "plt.plot(frequencies, fft_spectrum, label=\"high-passed\", alpha=0.5)\n", "\n", "\n", "# Plot settings\n", "plt.ylabel(\"Fast Fourier Transform (V**2/Hz)\")\n", "plt.xlabel(\"Frequency (Hz)\")\n", "plt.xlim(0, 8000)\n", "plt.legend()\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "d648d731-dccf-483d-9306-c169e0a9a15d", "metadata": {}, "source": [ "### Split Audio into clips\n", "The `.split()` method divides audio into even-lengthed clips, optionally with overlap between adjacent clips (default is no overlap). See the function's documentation for options on how to handle the last clip.\n", "\n", "The function returns a list containing Audio objects for each clip and a DataFrame giving the start and end times of each clip with respect to the original file. " ] }, { "cell_type": "markdown", "id": "7d231c27-67d2-4334-a336-e1aeadeb768f", "metadata": {}, "source": [ "#### Split without overlap\n", "\n", "Split the audio into non-overlapping (mutually exclusive) clips" ] }, { "cell_type": "code", "execution_count": null, "id": "3e1b0f37-0e49-41ac-940e-16815ab0780b", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "duration of first clip: 5.0\n", "head of clip_df\n" ] }, { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
start_timeend_time
00.05.0
15.010.0
210.015.0
\n", "
" ], "text/plain": [ " start_time end_time\n", "0 0.0 5.0\n", "1 5.0 10.0\n", "2 10.0 15.0" ] }, "execution_count": 23, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Split into 5-second clips with no overlap between adjacent clips\n", "clips, clip_df = audio_object.split(clip_duration=5, clip_overlap=0, final_clip=None)\n", "\n", "# Check the duration of the Audio object in the first returned element\n", "print(f\"duration of first clip: {clips[0].duration}\")\n", "\n", "print(f\"head of clip_df\")\n", "clip_df.head(3)" ] }, { "cell_type": "markdown", "id": "809d0fa3-86d4-4ae5-b3d3-359ade20f83f", "metadata": {}, "source": [ "#### Split with overlap\n", "\n", "Split the audio into overlapping clips.\n", "\n", "Note that a negative \"overlap\" value would leave _gaps_ between consecutive clips. " ] }, { "cell_type": "code", "execution_count": null, "id": "1319262d-f244-40a7-83c9-a42ca28a4d46", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "head of clip_df\n" ] }, { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
start_timeend_time
00.05.0
12.57.5
25.010.0
37.512.5
410.015.0
\n", "
" ], "text/plain": [ " start_time end_time\n", "0 0.0 5.0\n", "1 2.5 7.5\n", "2 5.0 10.0\n", "3 7.5 12.5\n", "4 10.0 15.0" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" } ], "source": [ "_, clip_df = audio_object.split(clip_duration=5, clip_overlap=2.5, final_clip=None)\n", "print(f\"head of clip_df\")\n", "clip_df.head()" ] }, { "cell_type": "markdown", "id": "15ba9373-e260-4e2f-9199-a4d0f18b32aa", "metadata": {}, "source": [ "#### Split and save \n", "The `Audio.split_and_save()` method splits audio into clips and immediately saves them to files in a specified location. \n", "\n", "You provide it with a naming prefix, and it will add on a suffix indicating the start and end times of the clip (eg `_5.0-10.0s.wav`). It returns just a DataFrame with the paths and start/end times for each clip (it does not return Audio objects). \n", "\n", "The splitting options are the same as `.split()`: `clip_duration`, `clip_overlap`, and `final_clip`.\n", "\n", "**NOTE: If you want to split clips for use as a machine learning training dataset, you do not need to pre-split clips. See the machine learning tutorials for more information.**" ] }, { "cell_type": "code", "execution_count": null, "id": "fb9e47d7-0943-46d2-b6d9-ed7c94da474b", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "head of clip_df\n" ] }, { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
start_timeend_time
file
./temp_audio/audio_clip__0.0s_5.0s.wav0.05.0
./temp_audio/audio_clip__5.0s_10.0s.wav5.010.0
./temp_audio/audio_clip__10.0s_15.0s.wav10.015.0
./temp_audio/audio_clip__15.0s_20.0s.wav15.020.0
./temp_audio/audio_clip__20.0s_25.0s.wav20.025.0
\n", "
" ], "text/plain": [ " start_time end_time\n", "file \n", "./temp_audio/audio_clip__0.0s_5.0s.wav 0.0 5.0\n", "./temp_audio/audio_clip__5.0s_10.0s.wav 5.0 10.0\n", "./temp_audio/audio_clip__10.0s_15.0s.wav 10.0 15.0\n", "./temp_audio/audio_clip__15.0s_20.0s.wav 15.0 20.0\n", "./temp_audio/audio_clip__20.0s_25.0s.wav 20.0 25.0" ] }, "execution_count": 25, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Split into 5-second clips with no overlap between adjacent clips\n", "from pathlib import Path\n", "\n", "Path(\"./temp_audio\").mkdir(exist_ok=True)\n", "clip_df = audio_object.split_and_save(\n", " destination=\"./temp_audio\",\n", " prefix=\"audio_clip_\",\n", " clip_duration=5,\n", " clip_overlap=0,\n", " final_clip=None,\n", ")\n", "\n", "print(f\"head of clip_df\")\n", "clip_df.head()" ] }, { "cell_type": "markdown", "id": "2b2b6af1-1586-4b34-89b9-ea2b211d1467", "metadata": {}, "source": [ "The folder `temp_audio` should now contain 12 5-second clips created from the 60-second audio file. \n", "\n", "Clean up: delete temp folder of saved audio clips" ] }, { "cell_type": "code", "execution_count": null, "id": "9cd77c12-5236-4268-b572-8a3f5bb74c84", "metadata": {}, "outputs": [], "source": [ "from shutil import rmtree\n", "\n", "rmtree(\"./temp_audio\")" ] }, { "cell_type": "markdown", "id": "cd02060c-b23f-4f14-bf18-bae4ea7e00df", "metadata": {}, "source": [ "#### Split and save \"dry run\"\n", "we can use the `dry_run=True` option to produce only the clip_df but not actually process the audio. this is useful as a quick test to see if the function is behaving as expected, before doing any (potentially slow) splitting on huge audio files. \n", "\n", "Just for fun, we'll use an overlap of -5 in this example (5 second gap between each consecutive clip)\n", "\n", "This function returns a DataFrame of clips, but does not actually process the audio files or write any new files. " ] }, { "cell_type": "code", "execution_count": null, "id": "a89df217-fccf-46d7-9b58-2dc5df0cba07", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
start_timeend_time
file
./temp_audio/audio_clip__0.0s_5.0s.wav0.05.0
./temp_audio/audio_clip__10.0s_15.0s.wav10.015.0
./temp_audio/audio_clip__20.0s_25.0s.wav20.025.0
./temp_audio/audio_clip__30.0s_35.0s.wav30.035.0
./temp_audio/audio_clip__40.0s_45.0s.wav40.045.0
./temp_audio/audio_clip__50.0s_55.0s.wav50.055.0
\n", "
" ], "text/plain": [ " start_time end_time\n", "file \n", "./temp_audio/audio_clip__0.0s_5.0s.wav 0.0 5.0\n", "./temp_audio/audio_clip__10.0s_15.0s.wav 10.0 15.0\n", "./temp_audio/audio_clip__20.0s_25.0s.wav 20.0 25.0\n", "./temp_audio/audio_clip__30.0s_35.0s.wav 30.0 35.0\n", "./temp_audio/audio_clip__40.0s_45.0s.wav 40.0 45.0\n", "./temp_audio/audio_clip__50.0s_55.0s.wav 50.0 55.0" ] }, "execution_count": 27, "metadata": {}, "output_type": "execute_result" } ], "source": [ "clip_df = audio_object.split_and_save(\n", " destination=\"./temp_audio\",\n", " prefix=\"audio_clip_\",\n", " clip_duration=5,\n", " clip_overlap=-5,\n", " final_clip=None,\n", " dry_run=True,\n", ")\n", "clip_df" ] }, { "cell_type": "markdown", "id": "c43bb5ec", "metadata": {}, "source": [ "### Join and mix Audio objects\n", "\n", "audio.concat() joins Audio objects end-to-end" ] }, { "cell_type": "code", "execution_count": 28, "id": "6b57e76c", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "execution_count": 28, "metadata": {}, "output_type": "execute_result" } ], "source": [ "audio.concat([audio_object, audio_object])" ] }, { "cell_type": "markdown", "id": "67255f1c", "metadata": {}, "source": [ "audio.mix() blends audio objects using a weighted sum\n", "\n", "note that several parameters like gain, offsets, and duration allow you to manipulate how the Audio objects are mixed" ] }, { "cell_type": "code", "execution_count": null, "id": "9aa09fa1", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "execution_count": 29, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# generate silence (audio waveform of all 0's)\n", "audio.mix([audio_object, xc], duration=10, gain=[0, -6])" ] }, { "cell_type": "markdown", "id": "f8baa1f2", "metadata": {}, "source": [ "### Generating noise and silence" ] }, { "cell_type": "code", "execution_count": null, "id": "98e3ad05", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "execution_count": 30, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Audio.silence(duration=5, sample_rate=22050) # generate silent clip (all 0s)" ] }, { "cell_type": "code", "execution_count": null, "id": "89e98a7a", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "execution_count": 31, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Audio.noise(color=\"pink\", duration=5, sample_rate=22050) # generate pink noise" ] }, { "cell_type": "markdown", "id": "6f6f2838-36e4-4aac-be2d-e7e5898885f2", "metadata": {}, "source": [ "**Clean up:** run the following cell to delete the audio files saved during this tutorial" ] }, { "cell_type": "code", "execution_count": null, "id": "9555231e-67f1-4cb8-a068-96b73d79539e", "metadata": {}, "outputs": [], "source": [ "for path in [\"./my_audio.wav\", \"./1min_audio.wav\"]:\n", " try:\n", " Path(path).unlink()\n", " except:\n", " pass" ] } ], "metadata": { "kernelspec": { "display_name": "opso_dev", "language": "python", "name": "opso_dev" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.13.5" } }, "nbformat": 4, "nbformat_minor": 5 }