{
"cells": [
{
"cell_type": "markdown",
"id": "159a03cc",
"metadata": {},
"source": [
"# Time Series\n",
"\n",
"Record a series of readings over time.\n",
"\n",
"**Objective**\n",
"\n",
"In this notebook, we show how to record time series with several examples:\n",
"\n",
"- scaler\n",
"- temperature\n",
"- multiple detectors\n",
"\n",
"See [Count the scaler](./_count_scaler.ipynb) for more details about configuring\n",
"and using a scaler.\n",
"\n",
"## Start the `instrument` package\n",
"\n",
"Our instrument package is in the `bluesky` subdirectory here so we add that to\n",
"the search path before importing it."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "680c527f",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"/home/prjemian/bluesky/instrument/_iconfig.py\n",
"Activating auto-logging. Current session state plus future input saved.\n",
"Filename : /home/prjemian/Documents/projects/BCDA-APS/bluesky_training/docs/source/howto/.logs/ipython_console.log\n",
"Mode : rotate\n",
"Output logging : True\n",
"Raw input log : False\n",
"Timestamping : True\n",
"State : active\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"I Wed-12:51:21 - ############################################################ startup\n",
"I Wed-12:51:21 - logging started\n",
"I Wed-12:51:21 - logging level = 10\n",
"I Wed-12:51:21 - /home/prjemian/bluesky/instrument/session_logs.py\n",
"I Wed-12:51:21 - /home/prjemian/bluesky/instrument/collection.py\n",
"I Wed-12:51:21 - CONDA_PREFIX = /home/prjemian/.conda/envs/bluesky_2024_3\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Exception reporting mode: Minimal\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"I Wed-12:51:21 - xmode exception level: 'Minimal'\n",
"I Wed-12:51:21 - /home/prjemian/bluesky/instrument/mpl/notebook.py\n",
"I Wed-12:51:21 - #### Bluesky Framework ####\n",
"I Wed-12:51:21 - /home/prjemian/bluesky/instrument/framework/check_python.py\n",
"I Wed-12:51:21 - /home/prjemian/bluesky/instrument/framework/check_bluesky.py\n",
"I Wed-12:51:21 - /home/prjemian/bluesky/instrument/framework/initialize.py\n",
"I Wed-12:51:21 - RunEngine metadata saved in directory: /home/prjemian/.config/Bluesky_RunEngine_md\n",
"I Wed-12:51:21 - using databroker catalog 'training'\n",
"I Wed-12:51:21 - using ophyd control layer: pyepics\n",
"I Wed-12:51:21 - Using EPICS PV gp:gp:int20 for scan_id\n",
"I Wed-12:51:21 - /home/prjemian/bluesky/instrument/framework/metadata.py\n",
"I Wed-12:51:21 - #### Devices ####\n",
"I Wed-12:51:21 - /home/prjemian/bluesky/instrument/devices/area_detector.py\n",
"I Wed-12:51:21 - /home/prjemian/bluesky/instrument/devices/calculation_records.py\n",
"I Wed-12:51:26 - /home/prjemian/bluesky/instrument/devices/fourc_diffractometer.py\n",
"I Wed-12:51:26 - /home/prjemian/bluesky/instrument/devices/ioc_stats.py\n",
"I Wed-12:51:26 - /home/prjemian/bluesky/instrument/devices/kohzu_monochromator.py\n",
"I Wed-12:51:26 - /home/prjemian/bluesky/instrument/devices/motors.py\n",
"I Wed-12:51:27 - /home/prjemian/bluesky/instrument/devices/noisy_detector.py\n",
"I Wed-12:51:27 - /home/prjemian/bluesky/instrument/devices/scaler.py\n",
"I Wed-12:51:28 - /home/prjemian/bluesky/instrument/devices/shutter_simulator.py\n",
"I Wed-12:51:28 - /home/prjemian/bluesky/instrument/devices/simulated_fourc.py\n",
"I Wed-12:51:28 - /home/prjemian/bluesky/instrument/devices/simulated_kappa.py\n",
"I Wed-12:51:28 - /home/prjemian/bluesky/instrument/devices/slits.py\n",
"I Wed-12:51:28 - /home/prjemian/bluesky/instrument/devices/sixc_diffractometer.py\n",
"I Wed-12:51:28 - /home/prjemian/bluesky/instrument/devices/temperature_signal.py\n",
"I Wed-12:51:29 - #### Callbacks ####\n",
"I Wed-12:51:29 - /home/prjemian/bluesky/instrument/callbacks/spec_data_file_writer.py\n",
"I Wed-12:51:30 - #### Plans ####\n",
"I Wed-12:51:30 - /home/prjemian/bluesky/instrument/plans/lup_plan.py\n",
"I Wed-12:51:30 - /home/prjemian/bluesky/instrument/plans/peak_finder_example.py\n",
"I Wed-12:51:30 - /home/prjemian/bluesky/instrument/utils/image_analysis.py\n",
"I Wed-12:51:30 - /home/prjemian/bluesky/instrument/plans/randomize_noisy_peak_plan.py\n",
"I Wed-12:51:30 - #### Utilities ####\n",
"I Wed-12:51:30 - writing to SPEC file: /home/prjemian/Documents/projects/BCDA-APS/bluesky_training/docs/source/howto/20241030-125129.dat\n",
"I Wed-12:51:30 - >>>> Using default SPEC file name <<<<\n",
"I Wed-12:51:30 - file will be created when bluesky ends its next scan\n",
"I Wed-12:51:30 - to change SPEC file, use command: newSpecFile('title')\n",
"I Wed-12:51:30 - #### Startup is complete. ####\n"
]
}
],
"source": [
"import pathlib, sys\n",
"sys.path.append(str(pathlib.Path.home() / \"bluesky\"))\n",
"from instrument.collection import *"
]
},
{
"cell_type": "markdown",
"id": "fba12e4a",
"metadata": {},
"source": [
"## Time Series: scaler1\n",
"\n",
"First, set the scaler's *counting time* to 0.2 seconds when we count here.\n",
"\n",
"\n",
"NOTE
\n",
"\n",
"The scaler used here is an EPICS software simulator of real scaler hardware. It\n",
"has a bug that almost always adds to the configured preset time. Expect the\n",
"counting times to be 0.3s in this document.\n",
"\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "fff4d63c",
"metadata": {},
"outputs": [],
"source": [
"scaler1.preset_time.put(0.2)"
]
},
{
"cell_type": "markdown",
"id": "4cfb1d7c",
"metadata": {},
"source": [
"Now, use the bluesky\n",
"[RunEngine](https://blueskyproject.io/bluesky/generated/bluesky.run_engine.RunEngine.html?highlight=runengine#bluesky.run_engine.RunEngine)\n",
"(`RE`) to count `scaler1`. We'll use the bluesky plan\n",
"([bp](https://blueskyproject.io/bluesky/plans.html?highlight=count#pre-assembled-plans))\n",
"called\n",
"[count()](https://blueskyproject.io/bluesky/generated/bluesky.plans.count.html#bluesky.plans.count)."
]
},
{
"cell_type": "markdown",
"id": "dfdaafc2",
"metadata": {},
"source": [
"The first argument to `bp.count()` is a *list* of detectors. At each reading,\n",
"each \"detector\" is triggered (to executes its data acquisition steps). Once all\n",
"detectors have finished triggering, all detectors are read out and reported.\n",
"\n",
"Any \"detector\" (readable device or signal) can be recorded as a time series.\n",
"For example `scaler1` (in this simulator) is such a readable device. A readable\n",
"device or signal has a `.read()` method that returns time-stamped data.\n",
"\n",
"Here, we read `scaler1`."
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "7eb5635b",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"OrderedDict([('clock', {'value': 3000000.0, 'timestamp': 1730310528.098214}),\n",
" ('I0', {'value': 1.0, 'timestamp': 1730310528.098214}),\n",
" ('scint', {'value': 1.0, 'timestamp': 1730310528.098214}),\n",
" ('diode', {'value': 1.0, 'timestamp': 1730310528.098214}),\n",
" ('I000', {'value': 1.0, 'timestamp': 1730310528.098214}),\n",
" ('I00', {'value': 2.0, 'timestamp': 1730310528.098214}),\n",
" ('scaler1_time', {'value': 0.3, 'timestamp': 1730310528.098214})])"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"scaler1.read()"
]
},
{
"cell_type": "markdown",
"id": "22df71f4",
"metadata": {},
"source": [
"Using `scaler1`, record 10 measurements at 1.0 second intervals.\n",
"\n",
"We choose an interval time that is longer than the count time for the `scaler`."
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "bd32cb1d",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n",
"Transient Scan ID: 59 Time: 2024-10-30 12:51:30\n",
"Persistent Unique Scan ID: '9933bc4e-a764-4bc8-8eca-15e09fa66a8b'\n",
"New stream: 'label_start_motor'\n",
"New stream: 'primary'\n",
"+-----------+------------+------------+------------+------------+------------+------------+------------+\n",
"| seq_num | time | clock | I0 | scint | diode | I000 | I00 |\n",
"+-----------+------------+------------+------------+------------+------------+------------+------------+\n",
"| 1 | 12:51:30.6 | 3000000 | 1 | 2 | 1 | 2 | 1 |\n",
"| 2 | 12:51:32.6 | 3000000 | 0 | 1 | 1 | 1 | 1 |\n",
"| 3 | 12:51:34.4 | 3000000 | 1 | 1 | 2 | 1 | 1 |\n",
"| 4 | 12:51:36.2 | 3000000 | 0 | 1 | 0 | 0 | 1 |\n",
"| 5 | 12:51:38.0 | 3000000 | 2 | 2 | 1 | 1 | 1 |\n",
"| 6 | 12:51:40.0 | 3000000 | 1 | 1 | 2 | 1 | 1 |\n",
"| 7 | 12:51:41.8 | 3000000 | 0 | 1 | 2 | 1 | 1 |\n",
"| 8 | 12:51:43.7 | 3000000 | 1 | 1 | 1 | 1 | 1 |\n",
"| 9 | 12:51:45.5 | 3000000 | 2 | 1 | 1 | 1 | 1 |\n",
"| 10 | 12:51:47.4 | 3000000 | 1 | 2 | 1 | 1 | 1 |\n",
"+-----------+------------+------------+------------+------------+------------+------------+------------+\n",
"generator count ['9933bc4e'] (scan num: 59)\n"
]
},
{
"data": {
"text/plain": [
"('9933bc4e-a764-4bc8-8eca-15e09fa66a8b',)"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
},
{
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OT+jgsRFJUmsmmmahssX5bqKV4G7WIEKiRZBLU+fJzBYh5vEYaqjl5AZKk/U7d0V1QF7PwmL2nITiPAAAAOBSk3mb8yzOW0Nh6VzGHO3PRNo0L63Q0qqyRX2urasnN4dMk0GacK9Gcr+RB32ZuI76s2y8h4LpkxsMhUWpCRfRMFiJ4jwAAADgSqZpZm9OZsuknc3WTHG+88igkimKozi7zkykTcsiu+YlaWOoRmVej06OTqjrxOiiPx9gF2soZ5hYG+RQ35TO+TNpzD7/KM6jtFi/c4shb16iOA8AAAC4UnQsoVhmCFz9PAbCStIF9TWqKvNqNJ7Ui31D+VgeikxnJgJpaw6K8wGfVxc2BSURrQR3C9VZmfMUR5E74TmeigtxcgMlypq5ROc8AAAAANtYN+9LKv0q93vn9bFej5Ed6km0DeZiXybWpmVVbU4+31aefygC2c55YkWQQ1ZkXf1ZBl3SOY9Sle2cpzgPAAAAwC7hBQ6DtVi58wzlxNn0R8fVGxmXx5A2r8xNcX7y+TeYk88H2KFxykBY5icgV+Y6T2ayc55YJZQW6zVwiOI8AAAAALtYmbQLLs43p4dy0rmMs+nMdM1fUF+jqoAvJ5/T6px/9mhUsUQyJ58TKDTr9288kdKJkbjNq0GxyMbanOX6bj3/6JxHqQkv8jWw01CcBwAAAFyob44377OxhsIe6B9WZGwiV8tCEbLy5lubc9M1L0mrl1ZqaVWZ4smUnutl7gHcqczn0fLqdPQIud/IBdM01ZfJ0z5b4TFUm5550DcUY7g7SoZpmnTOAwAAALDfZKzN/IbBWpZXB9S8NH1jv+/IYK6WhSLUmXl+tORgGKzFMAy1ZvLrO7qIVoJ7hcj9Rg4Njk4oPsdh7ytqAvJ6DCVTpgaGY4VYHmC7yNiExifSPyN0zgMAAACwjdU537CIriGibXA2pmlmh8FaUTS5sjXz/CN3Hm6Wzf1mKCxywNp4X1pVpoDvzMPevR4jOzSWkxsoFdbPyJJKv8r9Z/4ZcQuK8wAAAIALWcfeFxprI00O5WyncxmzOHx8VJGxCZX5PFrfWJPTz72VobAoApOd8wzlxOL1zXPYeyPPP5SY3iLLm5cozgMAAACuFJ7nDfxM2lZPdi6bJnm1OJ0VabOpKSi/N7e3j1szMTmvHB/VSYZpwqUaM7nfvYN0LmPx+uYZWZc9uUHnPEpEX6S48uYlivMAAACA60wkU9l82cUU5y8MBVXm8+jk6IQOHx/N1fJQRDq705E2rTnMm7fUVvp17vIqSVIHcw/gUhRHkUvhyPxOxTUG05tDYWKVUCKs37WNFOcBAAAA2GVgOCbTlHweQ8uqyhb8ecp8Hm1qCkqS2ruJtsHprM751ubavHx+K8e+g7kHcKlsrAjFUeRA39D8TsUxkBilxjpdYm1MFQOK8wAAAIDLWDfh9TUBeTzGoj4XQ2Exm4lkSs8cTXfOt+Shc14idx7u12TF2kTGiAfDovXNM0+7kZMbKDGTnfNzi35yA4rzAAAAgMtkM2lzcKR3cijs4KI/F4rLi31DGp9Iqabcp7XLqvLyNazO+c4jzD2AO9VnssHHJ1KKjE3YvBq4nXUCY66FRzrnUWqynfO1dM7nxB133KGWlhYFg0EFg0Ft27ZNP//5z2d9fG9vr971rndp/fr18ng8+vjHPz7j4+69915deOGFCgQCuvDCC3Xffffl6TsAAAAACq8vOr9M2jOxivPP9UY1PpFc9OdD8dh3xOqar130CY3ZbGhMzz0YHJ3QK8w9gAuV+73ZeLGjDIXFIlnX9/l2zocj42xwoiRkO+dz8BrYKWwtzq9atUpf+MIXtHfvXu3du1dvfOMbdf311+uZZ56Z8fGxWEwrVqzQpz/9abW2ts74mCeeeELvfOc7dcMNN6izs1M33HCD3vGOd+h3v/tdPr8VAAAAoGCszrrFDIO1rKyr0IqagBIpU0/3RBb9+VA8OjNRM/kYBmsp83m0OTP3oIO5B3Cpydz5MZtXAjebSKZ0fGR+xfn6mvTj4smUTozE87Y2wAnG4snsCSUGwubIddddp2uvvVbr1q3TunXr9PnPf17V1dXas2fPjI8/55xz9LWvfU033nijamtnHkh022236eqrr9bOnTu1YcMG7dy5U1dddZVuu+22PH4nAAAAQOHMN5P2TAzDyEaLEG2DqTqP5Ddv3rI1M/eAobBwqxC538iB/qH0sHe/19DSyrkNey/zebS8Oh2Bw/MPxc5qTqnwexUs99m8mtxxTOZ8MpnUPffco5GREW3btm3Bn+eJJ57QNddcM+19b3rTm/Tb3/521o+JxWKKRqPT3gAAAACn6hvK7TCsbO48ncvIGIsn9WLfkKTJXPh8YSgs3C6UyT4m9xuLYWVp19eUzytKjNx5lArrOR6qLZdh5Cduzw62F+f379+v6upqBQIB7dixQ/fdd58uvPDCBX++cDishoaGae9raGhQOBye9WN27dql2tra7Ftzc/OCvz4AAACQb9bNSUNNbo70tmU6l+mch+WZoxElU6bqawJ5Pzrelin+P8vcA7hUI53zyIHJU3Hz23jPPv+iPP9Q3KzosFycHHUS24vz69evV0dHh/bs2aO/+Iu/0E033aRnn312UZ/z1N0T0zTPuKOyc+dORSKR7Ft3d/eivj4AAACQT9mBcTkqmrasqpXHSBeW6LyDNNnF3prnrnlJWrWkQsuqyjSRNPVsL6eY4T6TsTZkzmPhrMiO+W6ITnbO8/xDcQtH0q9/Q0WUNy85oDhfVlam888/XxdddJF27dql1tZWfe1rX1vw52tsbDytS76/v/+0bvqpAoGAgsHgtDcAAADAiYZjCQ3HEpJy1zlUFfBpfSNDOTFpXyZvvnXVzLO+cmnq3ANy5+FGdM4jF7Ib7/O8tmcHEmcKl0CxsjagctWc4hS2F+dPZZqmYrGF/0LZtm2bHn744Wnve+ihh3TppZcudmkAAACA7axM2uqAT9WB3A3DYigspuo8MiipMJ3z0uTzj9x5uNHUzHnTNG1eDdzKur7Ptzif7ZyP0jmP4madLim2znlbR9t+6lOf0vbt29Xc3KyhoSHdc889euSRR/Tggw9KSsfN9PT06K677sp+TEdHhyRpeHhYx44dU0dHh8rKyrI59R/72Md0xRVX6Itf/KKuv/56/eu//qv+/d//Xb/5zW8K/v0BAAAAubbQTNqzaVtdp7v/s4viPDQ4Gtfh46OSpJaVdQX5mgyFhZtZhaLReFLR8YRqK/w2rwhuZMXKNc63cz6Y3hzi5AaKXXbmUpFlzttanO/r69MNN9yg3t5e1dbWqqWlRQ8++KCuvvpqSVJvb6+6urqmfUxbW1v2/z/55JP6wQ9+oDVr1uiVV16RJF166aW655579Nd//df6m7/5G5133nn64Q9/qIsvvrhg3xcAAACQL31DC8ukPZtXZYqj+3oGNZFMye913CFbFEhnJtJm7fIq1VYWpsjYsqpOktR1YlTHh2NaVp3bzScgn8r9Xi2p9Ovk6ITCkXGK81gQ6/q+4M75zMmNM81cBNyMzvk8uPPOO8/457t37z7tfXM5Ivb2t79db3/72xe6LAAAAMCxrEzZhprc3picu7xaNeU+DY0n9EJ4SJtX5j9rHM60L9O93lKAvHlLbYVf562o0svHRtR5ZFBv3DD7zDDAiRprK3RydEJHI2Na31hj93LgQgs9GdfIyQ2UgEQypWND6dfA8z1d4nS0wwAAAAAuks2kzXHXkMczOZSznWiRkpbNm890sxfK1uYlkhgKC3ea2r0MzNfQ+IRG4klJ8z8ZV+73qi5zyonnH4rVseGYUqbk8xhFd7qO4jwAAADgIlZxPh9dQ22r08XR9q6TOf/ccAfTNNXRnY61aW0u7OkJK3eezSG4kVVQJfcbC9EXTXcE15T7VFk2/5AL6zVBb4ShsChO1u/W+pqAvJ7iim6iOA8AAAC4iJW3meuBsJLUlumcp3O5dPVGxjUwHJPXY2hTU2GL89bzr7N7UKnU2eNMUTiPPfaYrrvuOjU1NckwDN1///1n/Zjvf//7am1tVWVlpUKhkN7znvfo+PHj+V+sTZqynfMURzF/2VNxC9x45+QGip0V+5TrmUtOQHEeAAAAcJHJTNrc35xYsTYHB0Z0ciSe888P59uXibRZ31Cjcr+3oF97fWONAj6PouMJHTo+UtCvjTMbGRlRa2urbr/99jk9/je/+Y1uvPFGve9979MzzzyjH/3oR/r973+v97///XleqX0aaysk0TmPhbGK6gs9FcfzD8Wut4iL87YOhAUAAAAwd6mUqX5rGFYebk6WVJVp7fIqHRoYUceRQb1hfX3OvwacbTLSpq7gX9vv9WjLylrtPXxSHV2DOm9FdcHXgJlt375d27dvn/Pj9+zZo3POOUcf/ehHJUlr167VBz7wAf3jP/5jvpZouxCxNliEMJ3zwBlNxjpW2LyS3KNzHgAAAHCJ4yNxJVKmDENanqdhWETblLZ92WGwhY20sVinNzrInXe1Sy+9VEeOHNHPfvYzmaapvr4+/fjHP9ab3/zmWT8mFospGo1Oe3OTRoqjWIT+RUbWZWceRHn+oThNds4X1zBYieI8AAAA4BpW19Dy6oD83vy8lG9jKGfJSqVM7T9iX+e8NDkUluK8u1166aX6/ve/r3e+850qKytTY2Oj6urq9I1vfGPWj9m1a5dqa2uzb83NzQVc8eJZncvDsYSGxidsXg3cxuqcX+ipOOv518fmEIrU5M8InfMAAAAAbDJ5pDd/eZtbm5dIkjq6TjKUs8QcHBjRUCyhcr9HF9TbEyljdc4/1xvV+ETSljVg8Z599ll99KMf1Wc+8xk9+eSTevDBB3Xo0CHt2LFj1o/ZuXOnIpFI9q27u7uAK168yjKfaiv8kuiex/yFo+nIusXG2vQykBhFqhCvge1C5jwAAADgEovNpJ2LDaHJoZwHB0Z0vk1FWhReZ6ZbfcvKWvnydDLjbFbWVWh5dUADwzE9czSiV69Zass6sDi7du3SZZddpv/xP/6HJKmlpUVVVVW6/PLL9fd///cKhUKnfUwgEFAg4O64glBtuSJjE+qNjOuChhq7lwMX6V/k9d3qJo6OJzQSS6gqQLkPxcM0zWysTagIB8LSOQ8AAAC4hHVcfaGZtHPh93rUkskbb+86mbevA+ex8uZbVtXZtgbDMLLd8+3MPXCt0dFReTzTyw1er1dSushSrBrpXsYCJKcOe19gcb464FNNpiAfJnceRWZwdELxREqSVJ/H18B2oTgPAAAAuERfdHE373PVtjoTbUPud0npsDlv3tJG7rzjDA8Pq6OjQx0dHZKkQ4cOqaOjQ11dXZLSkTQ33nhj9vHXXXedfvKTn+iOO+7QwYMH9fjjj+ujH/2oXvva16qpqcmOb6EgJqNFKI5i7o4Px5RMmfIY0vLqsgV/HoYSo1hZv1OXVZUp4PPavJrc45wLAAAA4BLZWJs8H+lto3O55MQTKT13NCpJas2cnLCL1TlPcd459u7dqze84Q3Z/7755pslSTfddJN2796t3t7ebKFekv70T/9UQ0NDuv322/WXf/mXqqur0xvf+EZ98YtfLPjaC6kxmI4WoTiK+bA23pdXBxYVKdZYW64D/cNsDqHo9BUg1tFOFOcBAAAAlyjUzcnWTOfy8+GoRuMJVZZx21Dsng9HFU+mVFfp1+qllbaupWVVrQxDOnJyTAPDMS2vLr4j7G5z5ZVXnjGOZvfu3ae97yMf+Yg+8pGP5HFVzkPnPBbC2nhvXOTGu3WqLkysEopMMefNS8TaAAAAAK5hFefzHWsTqq1QY7BcKVPal4k6QXHrzPw7t6yqk2EYtq6lptyv81ekBxF3cHoDLhKqI1YE85erYe9sDqFYFerkqF0ozgMAAAAuMD6R1MnRCUn5L85Lk7nfRNuUhs5MhMxWmyNtLETbwI2s4uhROpcxD/3Z4vziTgk11hKrhOJknQYJFWmsDcV5AAAAwAX6M5m0AZ9HwYr8x8xMDuU8mfevBfvtOzIoKd057wStFOfhQlZxdGg8oeFYwubVwC2sYvpiN97pnEexCmdeA9M5DwAAAMA2UzNpCxE70rZ6iSTpqa7BM2ZNw/2GYwkd6B+WJLU0O6tzvrN7UKkUzz+4Q3XAp5pAevOU7mXMVa5ibazMeisCDygW2c55ivMAAAAA7FKoYbCWzU218nkMHRuK6ShFpqL2dE9Epik11ZarvsYZN74bGmtU7vdoKJbQwYFhu5cDzJlVIKU4j7myTsblKnP++Ehc4xPJRa8LcIpcnS5xKorzAAAAgAsUujhfUebVhlCNJKm9i2ibYmblzVtRMk7g83q0ZWW6i5+5B3CTUF062qaX3HnM0dSTcYtRW+FXuT9d5rMK/oDbjcYTio6nY8IW+zPiVBTnAQAAABeY7Bpa3MC4+WhrTkfbUBwtbvuORCQ5J2/ewlBYuJE1sJDOeczF+ERSkbH0sPfFbr4bhqFQLZtDKC7W79KqMq9qyv02ryY/KM4DAAAALtA3lJtj7/MxORR2sGBfE4XXke2cd0bevGVrZnOI5x/cxOrsJA4Mc2GdiqvwexUsX/ywdyv2I0zuPIpEtjmlSLvmJYrzAAAgxx577DFdd911ampqkmEYuv/++8/4+EceeUSGYZz29vzzzxdmwYBL9EUKG2sjTQ6F3d8TUTyRKtjXReEMDMfUMzgmw1A2RsYptmY2h54PD2ksTn4y3CGUzZyncxlnF85e2wM5GfZuPf962RxCkchV7JOTUZwHAAA5NTIyotbWVt1+++3z+rgXXnhBvb292bcLLrggTysE3MmOm5NzllWqrtKveCKl53qjBfu6KJx9RwYlSeetqHbccfGm2nKtqAkomTL19NGI3csB5qSR4ijmIZzjeTINDCRGkenNxjpW2LyS/Fn8mRkAAIAptm/fru3bt8/74+rr61VXV5f7BQFFwDTN7NH3xgJ2zhuGoa3NdXrkhWNq7zrpqIGhyI3Obitv3lld89Lk8+/hZ/vU0TWo15yz1O4lAWfVlBkIS6wI5sIa3JqrjffJznlObqA4ZF//1hZu5lKh0TkPAAAcoa2tTaFQSFdddZV+9atfnfGxsVhM0Wh02htQzCJjE4plYmVW1BT25iQ7FJbc76LUmemc3+rQjReGwsJtrCLr4OgEcUw4q1x3zjcykBhFJts5X1u8nfMU5wEAgK1CoZC+/e1v695779VPfvITrV+/XldddZUee+yxWT9m165dqq2tzb41NzcXcMVA4Vk370sq/Sr3ewv6ta2hsO1dgwX9usg/0zS174jVOV9n72Jm0UZxHi5TE/Cpqiz9e5ruZZxNrovzoUwBk1glFAs7To4WGrE2AADAVuvXr9f69euz/71t2zZ1d3frS1/6kq644ooZP2bnzp26+eabs/8djUYp0KOo9WWOvRdyGKzFirLpOjGq48MxLasu3mPFpebIyTGdGInL7zW0MVRj93JmtGVVrQxD6hkcU//QuOprivfmHMXBMAw11pbr5WMjCkfGde6KaruXBAfrz3Hh0Tq5cWw4polkSn4vPblwN2ujKcRAWAAAgMK55JJLdODAgVn/PBAIKBgMTnsDillfJLeddfNRW+HX+fXp4hLdy8XFirTZGAoq4CvsiYy5qin36wLr+cfpDbgE3cuYq8nO+dxsfC+rKpPfa8g0pWNDsZx8TsAuE8mUBobta1ApFIrzAADAcdrb2xUKhexeBuAYYZuP9Fq530TbFJfOzGZLq0MjbSzkzsNtrA5PhsLiTNLD3nNbePR4jOznYnMIbtc/FJNpSn6voWVVZXYvJ2+ItQEAADk1PDysl156Kfvfhw4dUkdHh5YuXarVq1dr586d6unp0V133SVJuu2223TOOedo06ZNisfj+t73vqd7771X9957r13fAuA4Vt5mg01HettW1+nHTx5Re/dJW74+8qMzmzdfa/NKzmxr8xL9y94jFOfhGlZxnsx5nMng6ITimWHv9TnqnJfSz78jJ8cYCgvXs57D9TXl8ngMm1eTPxTnAQBATu3du1dveMMbsv9tZcPfdNNN2r17t3p7e9XV1ZX983g8rltuuUU9PT2qqKjQpk2b9G//9m+69tprC752wKn6cnzsfb7ampdIkjq7I0qmTHmL+AapVCRTpp7uSRfnrc50p7LWt+8Izz+4Q6MVazNIcRSzs05WLK0qy2m0WPr5d5LNIbheuATy5iWK8wAAIMeuvPJKmaY565/v3r172n9/8pOf1Cc/+ck8rwpwN7tjbdY1VKuyzKvhWEIvHxvWugZnDg/F3L3UP6zReFJVZV7HD6xc11CtCj/PP7jHZOc8xXnMbjJvPrfX9mysEs8/uFzY5pOjhULmPAAAAOBwuc6knS+f15ONPmnvItqmGFh581tW1Tq+E93n9WhL5vlHtA3coJHMecxBf3bjPben4rKZ8zz/4HLhzOkPu5pTCoXiPAAAAOBgE8mUBobtLc5L6dxviaGwxaLzyKAk5w+DtbQxFBYu0pSJtTkxEtf4RNLm1cCpwpH8XNvpnEexCGeaU4o91obiPAAAAOBgx4ZiMk3J7zW0rKrMtnW0ra6TRHG+WGSL8w7Pm7dYufMdPP/gAsEKnyr86QzxPrqXMYt8xdo0UpxHkbA65+1sTikEivMAAACAg1mFnfqacnlsjB+xOpdf7B/S0PiEbevA4o1PJPV875AkZeOKnG5rZnPohb4hjcXpRIazGYaR7fQ8ylBYzMK6vjfmuCvYeu71RceVTM0+BwpwOmsDi855AAAAALbJFudznEk7X/XBcq2sq5BpSvuPRGxdCxbn2d6oEilTy6vLtLKuwu7lzEmotkINwYCSKVP7e3j+wfkmc+fHbF4JnKov2zmf2+v7iuqAPIaUSJk6nonFA9zGNE315Sn6yWkozgMAAAAOZh1Ld8IwrGy0DbnfrrYv8+/XsqpOhuHsYbBTZaNtuhlKDOezivO9RItgFn15irXxeT2qr2EoMdztxEhc8WRKEsV5AAAAADbqG3JO11DbamsoLMVRN+vMnHxwyzBYizWUmKGwcANrKCy535hJPJHSwHBcUn4239kcgttZz93l1WUq8xV3+bq4vzsAAADA5foi+emsWwirc7m9a1CmSY6tW1nDYFua3ZE3b2EoLNyE4ijO5FgmbsbvNbSkMvfD3kMMhYXL5WsmgxNRnAcAAAAcLJy9ObE3c16SNjUF5fcaOj4SV/cJcpTdKDI2oYPHRiS5r3O+ZVWtPIZ0NDKufqIa4HChbHGe35U4nVU0z9ewdzaH4Ha9Dop1zDeK8wAAAICD5SuTdiHK/V5d2JTutm4n99uVns4MU21eWqGlVbnv1synqoBP6xpqJDH3AM7XSOcyziDfXcGTnfNsDsGd6JwHAAAA4Ah9UedkzktS25RoG7iPldfutq55y+RQ2EFb1wGcTSiTOT8wHFcskbR5NXCayY33/JyKa8w8/+ich1vROQ8AAADAdsOxhIZjCUnOuTlpW10nic5lt9qXyZt3fXGezSE43JJKvwKZIYb9mU1WwBLO86k46zVDmAgwuNRk53yFzSvJP4rzAAAAgENZNyY1AZ+qAj6bV5PW1rxEkvTs0YjGJ+gGdZvO7nSsTWumyO02WzObQ/uODCqZYigxnMswjCm58xRIMV1fnruCpz73GOAON6JzHgAAAIDtrJv3+jwde1+I5qUVWlZVpomkqWeORu1eDuahLzqucHRcHkPavDJo93IW5IL6GlWVeTUST+ql/mG7lwOcUSNDYTGLfEfWWa8b4omUTo5O5OVrAPmU3cAicx4AAACAXcIOHIZlGMZktE0XQ2HdpDMTRbSuoUaVZc44iTFfXo+hLavSQ4k7GEoMhwuR+41Z5HvYe8Dn1fLq9NBvNofgNsOxhIasWEcHvQbOF4rzAAAAgEM5bRispW11OtqGoZzusu9IOtKmJVPcdqutzTz/4A5WUSlMcR5TmKZZkM13nn9wK+s5WxPwqdohsY75RHEeAAAAcKjsMCynFeczeeXtDOV0lU5rGKxL8+YtW3n+wSVCxNpgBsOxhEbj6ZktDXmMrWsMpk9uMBQWbmMV5xtKoGteojgPAAAAOFb25sRhxfktq2plGFLP4Jj6uel3BdM0s7E2ravqbF3LYlmxSi/2DWkkc+wdcCIr1obOZUyVHfZe7strxFiIznm4lLWhFKI4DwAAAMBOfUPOLM7XlPu1rr5GktROtIgrvHJ8VNHxhMp8Hq1vrLF7OYvSECxXqLZcKVPa3xOxeznArKzC0lGKo5giHElH1uX7VNzkQGKef3CXcOa0kdNe/+YLxXkAAADAofoizhsIa5kcCjto6zowN/sykTabmoLye91/G2hF25A7DyezfncPDMcUT6RsXg2cIt/DYC10zsOt6JwvoDvuuEMtLS0KBoMKBoPatm2bfv7zn5/xYx599FG9+tWvVnl5uc4991x985vfnPbnu3fvlmEYp72Nj/PLCAAAAO6RSpnqH7IGwuYvk3ahrOJ8R/dJexeCOekokkgbS7Y4z+YQHGxpZZnKvB6ZptQ/RE0CaeECFecbmXkAl3JqrGO+2FqcX7Vqlb7whS9o79692rt3r974xjfq+uuv1zPPPDPj4w8dOqRrr71Wl19+udrb2/WpT31KH/3oR3XvvfdOe1wwGFRvb++0t/Ly0vgHBQAAQHEYGIkpkTLlMaQV1U4szi+RJO07ElEiSUeo0+07ko5/aW2utXkluUHnPNzA4zHUUJv+/U33MizZYe+1+b22W7E5vZFxmaaZ168F5FKpdc7nb/LEHFx33XXT/vvzn/+87rjjDu3Zs0ebNm067fHf/OY3tXr1at12222SpI0bN2rv3r360pe+pLe97W3ZxxmGocbGxryuHQAAAMin/mi6a355dUA+B8aQnL+iWjUBn4ZiCb3YN6wLm4J2LwmzmEim9HQmm71YOue3rKqV12MoHB1XODLuyOgnQEoPhe0+MUbuN7IKFWtj/V4cjSc1FEsoWO7P69cDcoXOeZskk0ndc889GhkZ0bZt22Z8zBNPPKFrrrlm2vve9KY3ae/evZqYmMi+b3h4WGvWrNGqVav0lre8Re3t7Wf82rFYTNFodNobAAAAYCen35h4PIZaMl3Y7UTbONqLfUOKJVKqKffpnGVVdi8nJyrLfFrXkB5sS7QSnIzcb5wqHLUi6/J7fa8s86m2Il2Q5/kHt4gnUhoYjksqnc5524vz+/fvV3V1tQKBgHbs2KH77rtPF1544YyPDYfDamhomPa+hoYGJRIJDQwMSJI2bNig3bt364EHHtDdd9+t8vJyXXbZZTpw4MCsa9i1a5dqa2uzb83Nzbn7BgEAAIAFKFQm7WK0NaejbRgK62yd3ZNd8x6PYfNqcseKtmkn2gYOZnUvHyX3GxnZYe8FuL6HaiejbQA3sE6WlHk9WlpVZvNqCsP24vz69evV0dGhPXv26C/+4i9000036dlnn5318YYx/cWklZtlvf+SSy7Ru9/9brW2turyyy/Xv/zLv2jdunX6xje+Mevn3LlzpyKRSPatu7s7B98ZAAAAsHD9BcqkXYzJobCDtq4DZ7bvyKAkqWVVceTNW9oYCgsXCAXpnMekZMrUseF053wh4rgasyc32ByCO2Rjn2oDp9WAi5WtmfOSVFZWpvPPP1+SdNFFF+n3v/+9vva1r+lb3/rWaY9tbGxUOBye9r7+/n75fD4tW7Zsxs/v8Xj0mte85oyd84FAQIGAc296AAAAUHqynfM1zu2ctzqXX+ofVmRsInt8Hs5ibZ60Zv69isXWzObQ/p6IkilT3iI6FYDi0VhbIYnOZaQdH44pmRn2vqwAXcGTsUqxvH8tIBd6C3iyxCls75w/lWmaisVm/qWxbds2Pfzww9Pe99BDD+miiy6S3z/zjYBpmuro6FAoFMr5WgEAAIB8yWbSOjhvc1l1QGuWVUqSOumed6TReEIH+oclFc8wWMt5K6pVHfBpNJ7Ui31Ddi8HmFFTHZ3zmGRtvK+oKcyw98ZgRebr0jkPd+jLnhytsHklhWNrcf5Tn/qUfv3rX+uVV17R/v379elPf1qPPPKI/uRP/kRSOm7mxhtvzD5+x44dOnz4sG6++WY999xz+s53vqM777xTt9xyS/Yxt956q37xi1/o4MGD6ujo0Pve9z51dHRox44dBf/+AAAAgIXKxto4vHMom/tNtIgjPXM0qmTKVEMwUJAIhULyeoxsVA/RSnAq6+euf2hciWTK5tXAbn2ZjfdCXdvJnIfbhLOd86WTcGJrcb6vr0833HCD1q9fr6uuukq/+93v9OCDD+rqq6+WJPX29qqrqyv7+LVr1+pnP/uZHnnkEW3dulV/93d/p69//et629veln3M4OCg/vzP/1wbN27UNddco56eHj322GN67WtfW/DvDwAAAFgoNwyElSZzv9u7T9q7EMzIOtHQUmRd85at5M7D4ZZXBeTzGEqZUv8Q0SKlzrq21xfo2j6ZOU9xHu7QW4Kd87Zmzt95551n/PPdu3ef9r7Xv/71euqpp2b9mK9+9av66le/utilAQAAALYZn0hqcHRCkvM759tWL5GU7lw2TbNkhne5ReeRiKTJInaxyRbn6ZyHQ3k8hhqC5eoZHFNvZFxNdaVTcMLp+gqcp03nPNym0D8jTuC4zHkAAACg1PVnjr2X+z0KVtjaT3NWG0NBlfk8Ghyd0CvHR+1eDk6x78igJGXjX4qNNRT2xf4hDccS9i4GmEWI7mVkTOZpF7ZzPjI2odE4vyPhfNmBsEUWxXcmFOcBAAAAh5kaaeP0TvQyn0dbVqYLv+1dRNs4ycmRuA5nNkxaVtbZu5g8qa8p18q6Cpnm5EYE4DShTLd8b4ShnKUuG2tTU5g87Zpyv6rKvOmvzeYQHC6VMtU/RHEeAAAAgM3ckjdvYSisM+3rSUfarF1epdpKv82ryR+ibeB0dM7DUujO+alfi+cfnO74SFwTSVOGUbgNLCegOA8AAAA4TH/UXXmbbZloEYbCOos1DLa1SCNtLAyFhdNZv8vJ/UbYhjztUK11coPnH5zN2rxaXh2Q31s6JevS+U4BAAAAl7Bu3huC7ugasobCPtc7pLF40ubVwDKZN19n6zryzcqdt4YSA04zOZSTWJtSNhZPKjqezn2vL2BxPts5H6U4D2ezNpBCJRRpI1GcBwAAABzHbbE2TbXlqq8JKJky9fTRiN3LgSTTNNXRnf63aM10lherzU218noM9Q/F6AyFIxErAmmyK7jC71WwvHDD3tkcglu47fVvrlCcBwAAABymPxqT5J5hWIZhTEbbMBTWEXoj4xoYjsnnMbSpKWj3cvKqosyrDY01ksidhzM1ZQbC9g3FlExxuqNUhafkzRdy2Pvk5lCsYF8TWIhwZgOJznkAAAAAtnJj59DW5nS0DUNhncHKm1/fWKNyv9fexRQAQ2HhZMurA/J6DCVTpgaGKZCWKqtzvtCDLrMDiaN0zsPZrA0kN73+zQWK8wAAAICDmKY52V3nopuTyc75QVvXgbTOI+lIm2LPm7cwFBZO5vUYasgUZI8OUiAtVX1TOucLqTGYPrlBrBKcztpAonMeAAAAgG0iYxOKJ1KSpHqXDISVpJZVtfIY6a5/cm3tZ3XOb22utXchBWJtDu3viSiRTNm7GGAG5M7D6gou9Ma7VegcGI4rlmBoO5zL+v3opuaUXKA4DwAAADiI1TW/pNKvgM89cSSVZT5taExnm9O9bK9UytT+ntLqnD93ebVqyn0am0jqhb4hu5cDnCZUm+5eZmhx6eobysTaFLjwWFfpV8CXLv9ZM20AJ8oW5+mcBwAAAGAX68bEjXmb2Wgbcr9tdXBgWMOxhCr8Xl1QX233cgrC4zHUmtmIIHceTjSZ+01xvlT12dQVbBhG9vnH5hCcamh8QiPx9MkOivMAAAAAbGN1tbnxxqRttTUU9qTNKyltnd3prvnNK4PyeUvnlo/ceThZI8XRkpedJ1Nb+Mg6a8Of2Dk4ldWcEiz3qbLMZ/NqCqt0XqkBAAAALmDdvDfUuK84bxVH9x2JaILcb9t0HhmUpGwneanIFufpnIcDZWNtGAhbkkzTzG6+19twfQ8x8wAOF7ZpYLITUJwHAAAAHCRbnHfhzcm5y6sULPcplkjp+V5yv+3SeSSTN58pVpeKrZlYpZeODWtofMLexQCnoHO+tJ0cnVA8s2ltR2xdIzMP4HC92bz5CptXUngU5wEAAAAH6Y/ak0mbCx6Poa2ZaJuObqJt7BBPpPTc0agkaWuJdc4vrw5o1ZIKmWb69AZy57HHHtN1112npqYmGYah+++//6wfE4vF9OlPf1pr1qxRIBDQeeedp+985zv5X6xDWZ3LfdFxpVKmzatBoVkd68uqylTmK3wpjs55ON3kTIbCxz7ZjeI8AAAA4CDZznmX3py0Zbq128n9tsXz4ajiyZSWVPrVvLT0us+ItsmPkZERtba26vbbb5/zx7zjHe/QL3/5S91555164YUXdPfdd2vDhg15XKWz1dcE5DGkRMrUwEjM7uWgwPqG0tf2eps23hsZSAyH642Wbud8aSXsAwAAAA4XjqSLNnYce8+Ftky0SDvFUVt0Zv7eW1bVyTAMexdjg63Ndfp/+3rZHMqx7du3a/v27XN+/IMPPqhHH31UBw8e1NKlSyVJ55xzTp5W5w4+r0f1NeUKR8cVjozbkjsO+9jdFUznPJxu8mek9H430jkPAAAAOMREMqXjmY5Ktw7EsjqXDw2M6ORI3N7FlCArb751Va3NK7GHtTnU0T0o0yQ6xC4PPPCALrroIv3jP/6jVq5cqXXr1umWW27R2Njsw1BjsZii0ei0t2Jj/V4/OkiBtNTYPezS+rr9Q+NKMLAdDmRlzodc+vp3MSjOAwAAAA5xbCgm05T8XkNLK8vsXs6C1FWW6dzlVZKIFrGD1TnfWmLDYC2bmmrl8xgaGI6pZ3D2QjDy6+DBg/rNb36jp59+Wvfdd59uu+02/fjHP9aHPvShWT9m165dqq2tzb41NzcXcMWFMdm9zHOz1PRF0xvvdp2YWF4VkM9jKGVKx4aJVYLz9GVjHSnOAwAAALCJ1VlXX1Muj8e9kSRbibaxxXAsoZeODUtKx9qUonK/VxtDQUlsDtkplUrJMAx9//vf12tf+1pde+21+spXvqLdu3fP2j2/c+dORSKR7Ft3d3eBV51/VvdyL7nfJafP5s55j8fIFj17ibaBw8QSSR3PnLakcx4AAACAbfpdPgzW0rZ6iSSpveukzSspLfuPRGSa0sq6Cq2ocfdzaDGyQ2HJnbdNKBTSypUrVVs7Ga+0ceNGmaapI0eOzPgxgUBAwWBw2luxIfe7dIUdkKfN8w9O1Z85WVLm86iu0m/zagqP4jwAAADgENYNs9uP9LZZxdHuQaVS5H4Xyr4jg5KklhLNm7dsnfL8gz0uu+wyHT16VMPDw9n3vfjii/J4PFq1apWNK7NXqLZCEp3Lpah/KHMyzsbN94ZaOufhTFPz5ktxmD3FeQAAAMAhwpnOIbcX5zc01qjc79HQeEIHB4bP/gHIic5Mcb5U8+YtVqzS/p6IJhh8mBPDw8Pq6OhQR0eHJOnQoUPq6OhQV1eXpHQkzY033ph9/Lve9S4tW7ZM73nPe/Tss8/qscce0//4H/9D733ve1VRUWHHt+AIoWxxlMz5UhJPpDQwnI7ssLVzPsjMAzhTuITz5iWK8wAAAIBj9NucSZsrPq9HLSvrJElPES1SMJ3dEUl0zq9dVqVguU+xREovhIfsXk5R2Lt3r9ra2tTW1iZJuvnmm9XW1qbPfOYzkqTe3t5soV6Sqqur9fDDD2twcFAXXXSR/uRP/kTXXXedvv71r9uyfqewfrf3RWKcKiohVte832toaZV9w94b6ZyHQ1kbRqWYNy9JPrsXAAAAACDN6hyys7MuV9pW1+k/Xzmh9q5BveOiZruXU/QGhmPqGRyTYUhbVpZ2cd7jMdTaXKdfHxhQe/egNpf430cuXHnllTLN2YvJu3fvPu19GzZs0MMPP5zHVblPfU25DEOKJ1M6MRrX8urSnQ1RSvoyp+LS//72RXZYsUpkzsNpwpH0z0gxvP5dCDrnAQAAAIewivN2ZtLmSlsmWoTc78Kw8ubPW1GtmvLSG6Z2qjaGwsKBynyebEGeAmnp6HPIqTg65+FU4Wi6c97unxG7UJwHAAAAHKIvUkyd80skSS+EoxqJJWxeTfHryETatK6qs3chDtGaHQp70t6FAKdookBacsIOubZbkSH9Q+PEKsFRnPIzYheK8wAAAIADDMcSGoknJRXHQKyGYLmaasuVMqV9RyJ2L6fo7csOgyXCRZK2ZorzLx8bUWRswt7FAFNYnaEM5SwdfUPOOBW3oiYgjyFNJE0dH4nbuhZgqmxxns55AAAAAHaxbkxqAj5VBYpjNNTWTLRNO93LeWWapjoz8UF0zqctqw6oeWk6X9nauACcwMr9PkrnfMlwyqk4v9ejFTXEKsFZkilT/UOZzHmK8wAAAADsYmXSNhTRjUlbczrapp3c77w6cnJMJ0cn5Pca2hCqsXs5jrE18/wjdx5OMtk5T3G0VIQdkjmfXkN6c6iXkxtwiOPDMSVSpjyGtKJEh2RTnAcAAAAcIDswrggibSxTh8KaJvm2+WIN3b0wFFTA57V3MQ6yNZs7P2jrOoCpQtnMeYqjpaI/mu4KdkJkXSizBmvDALCb9VxcUROQz1uaZerS/K4BAAAAh7FuTuzOpM2lzStr5fMYOjYUU88ghah8sWJbWoi0mWZqcZ7NITiFFWtD53xpME0ze313QnG+kYHEcJjebN58hc0rsQ/FeQAAAMABnJJJm0vlfq8ubApKItomnzq70wN3WzPFaKRtagrK7zV0fCSuIyfZHIIzhKYUR9k0Kn5DsYRGM8PenXB9J1YJTjN5crR4mlPmi+I8AAAA4AB90eIchmV1L1Ocz49EMqX9PZni/Kpam1fjLOV+rzaG0ptDRNvAKazTUbFESidHJ2xeDfLN2ngPlvtUUWZ/7BixSnAaq3M+ROc8AAAAADtlY21qiqs4b+XOt3eftHchReqlY8Mam0iqOuDTuSuq7V6O45A7D6cJ+LxaXl0miQJpKehzUN68NNm9T+c8nMLawHLKz4gdKM4DAAAADpA91ltknfNtzUskSc8cjSqWSNq8muKzLxNps3llUF6PYfNqnIfiPJyIaJHSEXbYtd3qTiZWCU4x2TnvjJ8RO1CcBwAAAGyWSpnqH8rE2hRZ59CaZZVaUulXPJHSc71Ddi+n6HRkhsGSNz8zqzj/dE9EE8mUvYsBMqYWSFHc+hw0DFaaHqsUGSNWCfZz2s+IHSjOAwAAADYbGIkpmTLlMZSNOygWhmGobXW6e769i2ibXOvMdIS3rqqzdR1OtXZ5lWor/IolUnqezSE4RIjO+ZIxWXh0xrDLcr9Xy6qsWCWef7CXaZp0zoviPAAAAGC7vki6a355dUA+b/G9RGcobH6MTyT1QjhdcKZzfmaGYWT/bjqYewCHsCJOjpI5X/SsDRgnnYojVglOER1PaGwiHXnolOgnOxTfK38AAADAZYo1b97CUNj8eOZoVImUqeXVZWoq0udOLmQ3h8idh0PQOV86nBjZYT3/6JyH3azfgXWVfpX7vTavxj4LKs53d3fP+md79uxZ8GIAAACAUmQNjKuvcc7Ney61NtfJMKTuE2MaGI7ZvZyisc/Km19VJ8NgGOxs2hgKC4dpDKYz5ynOF7++aPqa56Ti/GTnPCc3YK/swGQH/XzYYUHF+auvvlrHjx8/7f2PP/64/vAP/3DRiwIAAABKyWTnvDMyaXMtWO7X+SuqJUkdRNvkjJU330Le/BlZsTYHj40oMsoARNivqW6yc9k0TZtXg3xJpkwdy2xIO+lkHAOJ4RTWBpGTfj7ssKDi/OWXX65rrrlGQ0OTA3Uee+wxXXvttfrbv/3bnC0OAAAAKAV9JdA5RLRN7u07EpEktTbX2rwSZ1taVaY1yyolSZ2Z0wal4nOf+5xGR0dPe//Y2Jg+97nP2bAiSJNd1GMTSUXHEjavBvkyMDx12LtzNt+t55/VtQzYJZyZuVTMr3/nYkHF+W9/+9tau3at3vzmN2t8fFy/+tWv9OY3v1mf+9zn9IlPfCLXawQAAACKWjhz7L2+iG9OtjYvkcRQ2FyJjE3o4MCIJDrn52JriUbb3HrrrRoeHj7t/aOjo7r11lttWBEkqdzv1dKqMkkMhS1m1sb7ipqAvB7nRI+ROQ+nCEfpnJcWWJw3DEN33323ysvLddVVV+m//Jf/ol27duljH/tYrtcHAAAAFL2+SOl0znd2DyqZIsZhsfZnuuZXL63MFvkwu1ItzpumOeM8gs7OTi1dutSGFcFi/b4nd754hR16bW9kIDEcwqk/I4Xmm+sD9+3bd9r7/vZv/1b//b//d7373e/WFVdckX1MS0tL7lYIAAAAFLm+IStzvnhvTtY11KiyzKuReFIH+oe0oTFo95JczYpnaVlFpM1cTC3Oz1awLiZLliyRYRgyDEPr1q2b9v0mk0kNDw9rx44dNq4QodpyPdsbpXu5iFmd804aBitNFkKHYwkNjU+optxv84pQqqzff8X8+ncu5lyc37p1qwzDmDasxPrvb33rW/r2t7+dfZGTTCbzslgAAACg2IxPJDWYGVLZUFO8Nydej6HWVXV64uBxdXQNUpxfJGsYrFV0xpld2BRUmdejEyNxdZ8Y0+pMBn2xuu2222Sapt773vfq1ltvVW3t5CZOWVmZzjnnHG3bts3GFWKye5lYm2LVl4msc1pxvirgU7Dcp+h4QuHIOMV52CY7c4ni/NwcOnQon+sAAAAASpJ1Y1Lu9yhYMeeX567UtjpdnG/vGtR/e+1qu5fjapOd83W2rsMtAj6vNjYF1dk9qPbuk0VfnL/pppskSWvXrtWll14qv5/im9M01VVIIve7mIUdXHgM1VYoOj6kcHRcFzTU2L0clKDxiaROZppTQsEKm1djrzm/+l+zZk0+1wEAAACUJKuzrjFYXvRRG22rM0Nhu0/avBJ3C0fG1ReNyWNIm1dyAmGu2prr1Nk9qI7uQV2/daXdyymI17/+9UqlUnrxxRfV39+vVCo17c+vuOIKm1YGK1qE4nzxcmqsjZTeMHihb4jnH2xTSs0pZ7Og737Xrl1qaGjQe9/73mnv/853vqNjx47pr/7qr3KyOAAAAKDYWZ119Q68ec81K4LlQP+wouMTCnKUfkGsrvl0jn9p39DORykOhd2zZ4/e9a536fDhw9MiaiURSWuzUK1VnCfWplhNFucDNq/kdCGGwsJmU4fBFntzytl4FvJB3/rWt7Rhw4bT3r9p0yZ985vfXPSiAAAAgFLRN+XmpNitqAlo1ZIKmaa0rzti93Jca1+mON9KpM28WMX5Z45GFU+kzvzgIrFjxw5ddNFFevrpp3XixAmdPHky+3bixAm7l1fSGmsnO+dP3ThBcQg7+Po+9fkH2MHJsU+FtqA2i3A4rFAodNr7V6xYod7e3kUvCgAAACgVpTYMq231Eh05OaaO7pN63QXL7V6OK3VmNjZammvP8khMtWZZpZZU+nVydELP9UbVWgLDdA8cOKAf//jHOv/88+1eCk4Rqk1nLI/GkxqKJThJVGTG4klFxxOSpAYHXt9DDCSGzZy8eVVoC+qcb25u1uOPP37a+x9//HE1NTXN+fPccccdamlpUTAYVDAY1LZt2/Tzn//8jB/z6KOP6tWvfrXKy8t17rnnztipf++99+rCCy9UIBDQhRdeqPvuu2/OawIAAIvz2GOP6brrrlNTU5MMw9D9999/1o+Zy/UdKFbZWJsa5x17z4e2TEG0vWvQ1nW4VSpl0jm/QIZhZAvypRJtc/HFF+ull16yexmYQUWZV3WV6YI80SLFx9p4r/B7VRNwXvxYYy0DiWEv67lnPRdL2YKK8+9///v18Y9/XN/97nd1+PBhHT58WN/5znf0iU98Qn/2Z38258+zatUqfeELX9DevXu1d+9evfGNb9T111+vZ555ZsbHHzp0SNdee60uv/xytbe361Of+pQ++tGP6t57780+5oknntA73/lO3XDDDers7NQNN9ygd7zjHfrd7363kG8VAADM08jIiFpbW3X77bfP6fFzub4Dxaz0OufrJEnt3YNEOSzAK8dHFB1PKODzaH1jjd3LcZ1Sy53/yEc+or/8y7/U7t279eSTT2rfvn3T3mAvq2P06CDdy8VmamSHE/O0reeetU6g0LKvfx04k6HQFrR998lPflInTpzQBz/4QcXjcUlSeXm5/uqv/ko7d+6c8+e57rrrpv335z//ed1xxx3as2ePNm3adNrjv/nNb2r16tW67bbbJEkbN27U3r179aUvfUlve9vbJEm33Xabrr766uw6du7cqUcffVS33Xab7r777oV8u7YyTVNjEwzpAQCnq/B7HfnCe66OHDmiO+64Q7/97W8VDodlGIYaGhp06aWXaseOHWpubp7z59q+fbu2b98+58fP5fruJvFESu1dJ3VoYET/7bWr7V6Oa5mmqc4jEW1orFG532v3cvKqLxqTVDrHei9sCqrM69GJkbi6ToxqzbIqu5fkKvuOpCNtNjUF5fcuqNeqpJVacd66jr73ve/Nvs8wDJmmyUBYBwjVluv58BCd80XIycNgpcmGgMHRCY3Fk6ooK+7XWnAeOucnLag4bxiGvvjFL+pv/uZv9Nxzz6miokIXXHCBAoGF/9JJJpP60Y9+pJGREW3btm3GxzzxxBO65pprpr3vTW96k+68805NTEzI7/friSee0Cc+8YnTHmPd8M8kFospFotl/zsajS74+8i1sYmkLvzML+xeBgDgLJ793JtUWea8I6tz8Zvf/Ebbt29Xc3OzrrnmGl1zzTUyTVP9/f26//779Y1vfEM///nPddlll+Xl68/l+n4qJ1+7T47G9c5v75HHkN7S2qRqBx5ldoN/29+rD/+gXe+9bK0+c92Fdi8nb0zTzHatNZRIcT7g8+rCpqA6ugfV3jVIcX6erKJyC5E2C2IV5w8NjGhwNK66yjJ7F5Rnhw4dsnsJOAOiRYpXn8Ov7cFynyrLvBqNJxWOjmvtcq7FKKxSOzl6Jou6W6yurlYoFJJhGAsuzO/fv1/btm3T+Pi4qqurdd999+nCC2e+AQuHw2poaJj2voaGBiUSCQ0MDCgUCs36mHA4POsadu3apVtvvXVB6wcAwO0+8YlP6P3vf7+++tWvzvrnH//4x/X73/8+L19/Ltf3Uzn52t0QLNfKugr1DI5pX/egLj2fgZcL8egLxyRJvz5wzOaV5Nfg6ITiiZQkqd6h3XX5sLW5Th3dg+o8Mqi3tq20ezmuYuXNby2BYab5UFdZpteuXaq6Cr+GxhNFX5xfs2aN3UvAGUwO5aQ4X2zCEWefijMMQ4215Tp4bES9kTGK8yioZMpU/1D6ZyREcX5hxflUKqW///u/15e//GUNDw9LkmpqavSXf/mX+vSnPy2PZ+7HK9evX6+Ojg4NDg7q3nvv1U033aRHH3101gL9qZEBVk7l1PfP9JgzRQ3s3LlTN998c/a/o9HovI7v51OF36tnP/cmu5cBADiLChfHbjz99NP63ve+N+uff+ADH8j7gNa5XN+ncvK1W0pnavcMjqmd4vyCWdEdLx0b1kgsoaoiPYHQN5QuyCytKlPA597fI/PVsqpWkrQ/8++MuZlIpvT00fRJoVaK8wv2Lx+Y+aR2sXjggQe0fft2+f1+PfDAA2d87H/5L/+lQKvCTKyiVC+530XH6Z3zUvr5d/DYSHatQKEMDMeUTJnyegwtry6d5pTZLOgu59Of/rTuvPNOfeELX9Bll10m0zT1+OOP67Of/azGx8f1+c9/fs6fq6ysTOeff74k6aKLLtLvf/97fe1rX9O3vvWt0x7b2Nh4Wgd8f3+/fD6fli1bdsbHnNqRN1UgEFhUJE8+GYbh2pgEAIA7hEIh/fa3v9X69etn/PMnnnhixu71XJnL9f1UTr52S1Lb6iX6f/t69dThk3YvxZVGYgkd6B+SJJmm9MzRqF67dqnNq8oPq1uyvsa5z+d8sIrzTx+NKJFMyUd2+py8EB5SPJFSsNync5ZV2r0cONRb3/pWhcNh1dfX661vfeusjyNz3n4hK9aGgbBFxw3F+cYgsUqwR++U179ej3vntuXKgqq+/+f//B/98z//87Rd9tbWVq1cuVIf/OAH51WcP5VpmtMyZKfatm2bfvrTn05730MPPaSLLroom0e7bds2Pfzww9Ny5x966CFdeumlC14TAADF7JZbbtGOHTv05JNP6uqrr1ZDQ4MMw1A4HNbDDz+sf/7nfz7j7JbFmsv13W3aVtdJktq7B896gg+ne7onopQ5+d/7jgwWbXG+VPM2z11ereqAT8OxhA70D2tjKGj3klyhMxNp09pcx+8VzCqVSs34/+E8jcTaFK1w9vru3M13YpVgF+s55+TNq0JaUHH+xIkT2rBhw2nv37Bhg06cODHnz/OpT30qO4BuaGhI99xzjx555BE9+OCDktJH1nt6enTXXXdJknbs2KHbb79dN998s/7sz/5MTzzxhO68807dfffd2c/5sY99TFdccYW++MUv6vrrr9e//uu/6t///d/1m9/8ZiHfKgAARe+DH/ygli1bpq9+9av61re+le2i83q9evWrX6277rpL73jHO+b8+YaHh/XSSy9l//vQoUPq6OjQ0qVLtXr16gVd391mU1NQZV6PTozEdfj4qM4hx3NerAKkZX9P8Uaf9EWdnUmbLx6Poc0rg9pz8IT2HRmkOD9HnZlhsK0MgwWKglWcH4olNDQ+oZpydzYlYDrTNNWfub47ufhoPf/onEehhSPp00Lkzact6Pxoa2urbr/99tPef/vtt6u1tXXOn6evr0833HCD1q9fr6uuukq/+93v9OCDD+rqq6+WJPX29qqrqyv7+LVr1+pnP/uZHnnkEW3dulV/93d/p69//et629veln3MpZdeqnvuuUff/e531dLSot27d+uHP/yhLr744oV8qwAAlIR3vvOd2rNnj0ZHR9XT06Oenh6Njo5qz5498yrMS9LevXvV1tamtrY2SdLNN9+strY2feYzn5G0sOu72wR8Xm1amS42tncTbTNfnZkc8kvOTXfLF3MuudVZV+/gm/d8sQrM+4r43zfXOrvTf1fkzWOuPvrRj+rrX//6ae+//fbb9fGPf7zwC8I01QGfasrTPZPkfhePk6MTiiczw95rnHt9p3Medgm7YPOqkBbUOf+P//iPevOb36x///d/17Zt22QYhn7729+qu7tbP/vZz+b8ee68884z/vnu3btPe9/rX/96PfXUU2f8uLe//e16+9vfPud1AABQyv74j/94To/7yU9+MqfHXXnlldmBrjNZ6PXdbV61eonauwbV3jWoP2pbZfdyXMXqDn73JWu05+AJHRwYUXR8QsEi7Cjsy9wQl1rnvCRtyeTOU5yfm+FYQi9mZjG0Zv7ugLO59957ZxwKe+mll+oLX/hCXmPrMDdNtRV6YXxIvZFxnV9fY/dykANWsXtZVZnKfM6dqULnPOxC5/x0C/ot8frXv14vvvii/uiP/kiDg4M6ceKE/viP/1gvvPCCLr/88lyvEQAA5FFtbe2c3jA/Vu78U110zs/H8eGYjpxMv2C/Yt0KrVqSHlb2dJFG27ghkzZfrM7558NRxRIMpTybp3siMs30jWwpnrTAwhw/fnzGa3gwGNTAwIANK8KpKJAWHzcMg5UmGwMGhmOKJ5hPgcIJl+jMpdksqHNekpqamhY1+BUAADjDd7/7XbuXUJTaVi+RJD3XO6SxeFIVZV6bV+QOVhf1eSuqFCz3q2VVrY6cHNP+IxFdet5ym1eXe30lfKx31ZIKLan06+TohJ7vHSKq5Sz2WcNgyZvHPJx//vl68MEH9eEPf3ja+3/+85/r3HPPtWlVmMrqHO0dpDhfLMLZ4ryzN96XVpWpzOtRPJlSX3RczUsr7V4SSkS4hE+OzmTOxfl9+/bN+ZO2tLQsaDEAAADFoqm2XA3BgPqiMe3viei1a5favSRX6DylALllZZ1+tj+sfUXYOT+RTOn4SOkW5w3DUMuqOj364jHtOzJIcf4syJvHQtx888368Ic/rGPHjumNb3yjJOmXv/ylvvSlL+lrX/uazauDNNk5Go6O2bwS5EqfS7qCDcNQY225uk6MKkxxHgVimiad86eYc3F+69atMgzjjBmyUvqHO5nkWCoAAChthmGorXmJHnwmrKe6TlKcnyMrb94qQLZksrWLcShs/1BMpin5vYaWVpbZvRxbtKyq1aMvHlPnkYhusHsxDteR/dkgZgxz9973vlexWEyf//zn9Xd/93eS0oPYv/nNb+rGG2+0eXWQpnTOE2tTNNwSayMpW5zn+YdCiYxNaHwiHaPkhp+RQphzcf7QoUP5XAcAAEDRedWaOj34TFjt5M7PiWma2Vgbqyi/uSn9v10nRjU4GlddERWxrZv3+ppyeTyGzauxR0vmhIQV2YKZDQzH1DM4JsOQtqykOI+5Gxsb00033aS/+Iu/0LFjx9TX16eHH35YDQ0Ndi8NGaHa9GyVMMXRomH9W7qh8GhtDlkDOoF8s7rml1T6Ve4n9lOax0DYNWvWZN9+8IMf6Je//OW0961Zs0a//OUvdc899+RzvQAAAK5h5c4/1TV41tOHkHoGx3R8JC6/19DGUFCSVFvp1znL0ses9xdZtE1fxB2ZtPnUmtmEeal/WCOxhM2rcS5r8+K8FdWqKffbuxi4yvXXX6+77rpLkuT3+/UHf/AH+spXvqK3vvWtuuOOO2xeHSQ654uRNU/GDXna2VilSMzmlaBUWL/rGjMbk5hHcX6qb33rW9qwYcNp79+0aZO++c1vLnpRAAAAxWDLylr5PIaODaW7XnFmVqb2hsbgtE6aLdnu6uIqzpO3KdUHy9UYLFfKlJ45GrV7OY7VYeXNMwwW8/TUU0/p8ssvlyT9+Mc/VkNDgw4fPqy77rpLX//6121eHaTJa0BkbEKjcTYpi4GbYm1CQWYeoLD6ssNgS7c55VQLKs6Hw2GFQqHT3r9ixQr19vYuelEAAADFoNzv1YVN6Q7w9q5BexfjAlZ3sBVpY2lZWZy581ZnnRtu3vNpS+bfm2ib2VmzGLaSN495Gh0dVU1NjSTpoYce0h//8R/L4/Hokksu0eHDh21eHSSpptyv6kA6cZjuefeLJZI6PhKX5I7Nd6t7meceCoXO+dMtqDjf3Nysxx9//LT3P/7442pqalr0ogAAAIpFW2aw6VPkzp9VxynDYC1W8bboYm1c1FmXT1a0TWeRbb7kimma6sxsXJz6swGczfnnn6/7779f3d3d+sUvfqFrrrlGktTf369gMGjz6mCZjBahQOp2x4bSG+9lXo+WVDo/hizEcw8FZr3+dUPsU6EsqDj//ve/Xx//+Mf13e9+V4cPH9bhw4f1ne98R5/4xCf0Z3/2Z7leIwAAgGtZufN0zp9ZMmXq6Z6Zozs2NQVlGOlM+oHh4slEDUe4OZEmh8Lup3N+RulhyBMq83q0oZFiKubnM5/5jG655Radc845uvjii7Vt2zZJ6S76trY2m1cHC7nzxSM77D0YkGE4f9i79dzrH4opkUzZvBqUAuv3XMgFJ0sKxbeQD/rkJz+pEydO6IMf/KDi8fRxnfLycv3VX/2Vdu7cmdMFAgAAuNmrMsX5Z45GND6RnJaljkkvHxvWSDypyjKvzq+vnvZnNeV+nbu8Si8fG9H+nojesL7eplXmVt8QnfNSejaDJL1yfFSR0QnVuqDTsJCsEwUbm4Iq8y2otwol7O1vf7te97rXqbe3V62trdn3X3XVVfqjP/ojG1eGqSa7l8n9djtrsKpbNt6XVQfk8xhKpEwNDMddEcUDd8ueHOW5lrWgV3eGYeiLX/yijh07pj179qizs1MnTpzQZz7zmVyvDwAAwNWal1ZoWVWZJpImAy/PwMrU3ryyVl7P6Z1mk93VxRN9Yg3EaijxgVhLqsq0emmlJGlfz6C9i3GgbN78KvLmsTCNjY1qa2uTxzN5+//a175WGzZssHFVmMrKXj5K57zruS2yzusxVF+Tfh3Sy+YQCoDO+dMtqvWiurpar3nNa7R582YFAqV9UwEAADATwzCmRNuQOz8bK1N76yyZ2lZ39b4iKc4PjU9oJJ6U5I6BcfnWsqq4/n1zqXOWWQwAige538XDbcV5iZkHKJyxeFKRsQlJ7voZyTfORQIAAORZ2+o6SeTOn4lVlG2ZpTu4JTsUdrBQS8qrvmj62HtNuU+VZQtKmiwq1pyBfeTOT5NIpvT00cwsBorzQNFqJHO+aIStYZe17mlgDWVObvD8Q75ZPx+VZV4Fy3n9a6E4DwAAkGeTxXk652cSSyT1XG868ufUYbCWC5uC8hjporbVleZmbuysy6ctdM7P6MW+YY1PpFQT8Gntsiq7lwMgT5oyxVEy593Pjdf3bOd8Eby+grNZpzMag+WuGJhcKBTnAQAA8qx1VZ08RjpLliPDp3uud0gTSVNLq8q0aknFjI+pLPPpgvoaScWROz/15gTpWQOGke7a6x/iZ8RixT21NNfKM8MsBgDFwSqOnhyd0PhE0ubVYDGsk3FuKs6HOLmBAglH0xuQRDpOR3EeAAAgz6oCPq1vDEqie34mVpRJy6raM3bRZLure9xfnO8bcl9nXT5VB3w6f0W1pOLYfMmVbN78LCdKABSHYLlPlWVeSRRI3cw0TVduvluF0j6ee8izcCS9eeWmn49CoDgPAABQAK+yom0yxTZM6phjATKbO18EueTWDXBD0D2ZtPnWkvn376Q4n9XBMFigJBiGMSV3nmgbtxqKJTSWOfngps33bOd8lOce8suK7qJzfjqK8wAAAAXQtnqJJOmpw3TOn8rKGW9tnnkYrGXLSmsobESmaeZ9Xfk0OTCOmxNLSzZ3ftDehTjEaDyhF/uGJNE5D5QCq0BK/J17WRvvwXKfKjInIdygMTPzoC8SUyrl7tdXcDZe/86M4jwAAEABWENh9/dEFE+k7F2MgwyNT+jlY8OSJjunZ7MxFJTPY2hgOO76Y/9uzKTNt5YpQ2HdvvmSC88cjSplpk9XcBMLFL/GYLpA6vbrWylza+GxviYgw5DiyZROjMbtXg6KmBtjnwqB4jwAAEABnLu8SrUVfsUSKT0fjtq9HMdId8FLK+sqtLz6zBEv5X6v1jWkh8Luc3n0SV+UzPlTWZsvJ0bi6hnkaD1580Bpaaqjc97t3Lrx7vd6tCLzGoznH/LJrRtY+UZxHgAAoAAMw8h2zxNtM6mzO11k3zrHTO1s7nzPYJ5WlH/JlKn+IQZinarc79X6xuLYfMkF8uaB0kLmvPu5eeM9mztPcR55kkimdMx6/UtxfhqK8wAAAAXyqkzuPENhJ1n54lbR/Wy2TIk+cavjIzElU6Y8hrS8uszu5TjK5FDYQVvX4QTW38FcN64AuBvFUfdzc2SHtaEQZnMIeXJsOKaUKfk8hpZXnfm0bKmhOA8AAFAgVud8e9egretwks55dge3rEw/zs1DYfsi6a6h5dUB+by8HJ+q1dp86Xbv5ksunBiJq/tEukCyeeXcNq4AuJuVOU+siHtNds67r/DI5hDyzXpuNQTL5fEYNq/GWbgbAAAAKJDW5joZhtR1YlQDwzG7l2O7Y0MxHY2MyzDmXoBc11itMq9Hg6MTOnLSnd1d5G3Ozuqcf7onolTKnZsvuWB1zZ+7Ij2rAkDxs4qjx0fiGp9I2rwaLISbY20aa9kcQn71Rdy7eZVvFOcBAAAKJFju1wX11ZLonpcmI23OX1Gt6oBvTh8T8Hm1IeTuXHI337zn2wUN1Qr4PBqKJXTo+Ijdy7GNdaJkK8NggZJRV+lXuT9doumPsoHvRm7efKdzHvlmPbdCmY0gTKI4DwAAUEBtzenc+ae6GAo730gby5ZMl/0+lw6FdfOx93zzez3a1BSUNLl5U4oW+rMBwL0Mw8gWrY6S++06yZSZHXbpxs13a0PBeo0C5BrNKbOjOA8AAFBAk7nzFOc7M53vrXMcBmuxhsfud2nnvJsHxhWCFW3j1pMRi2WaZvZ7n+ugZCDfHnvsMV133XVqamqSYRi6//775/yxjz/+uHw+n7Zu3Zq39RWLxuxQTgqkbjOQGXbp9RhaXu2+zfepnfNunekDZ5vsnOf176kozgMAABTQq9akO+f3HYkokUzZvBr7mKaZzdWef+d8+vH7XZpL3ufizrpCaG3OnIwo0eL8kZNjOj4Sl99raGMoaPdyAEnSyMiIWltbdfvtt8/r4yKRiG688UZdddVVeVpZcSFaxL2sDZUV1QF5XTjs0npNMjaRVHQsYfNqUIys2KcGivOnmVu4JwAAAHLi/BXVqgn4NBRL6IW+IW1qKs3O2O4TYxocnVCZ16MNjfMrQGZzyccTOnxiVGuXV+VplfkxORCLm5OZWJsvzxxNb2D5vKXVT2RtWm0MBVXu99q7GCBj+/bt2r59+7w/7gMf+IDe9a53yev1zqvbvlRZ0SJhYm1cx+2RdeV+r5ZWlenESFy90THVVjKMHLkVpnN+VqX1ShcAAMBmHo+hrdlom0Fb12KnDqsA2RRUmW9+L0n9Xo8udHEuuZsHxhXCucurVBPwaXwipRf7hu1eTsFl8+YZBguX++53v6uXX35Zf/u3fzunx8diMUWj0WlvpSZUl86cp3PefYohT9uKVeL5h1wzTXPy9a+Lf0byheI8AABAgbVlYlxKeSjsvmwBcmEnB1pWujN3fnwiqcjYhCR338Dnk8djaLP17+vSob+L0dmdmcXAMFi42IEDB/T//X//n77//e/L55vbgf1du3aptrY2+9bc3JznVTpPiOKoaxXDxnuolpkHyI+ToxOKJ9JxnvUuPV2STxTnAQAACqxtdTp3vqOEO+ezefML7A7eYg0N7XFXcd7qrCv3exQsJ2FyNi2Z3PlOl22+LFYimdL+noUNSgacIplM6l3vepduvfVWrVu3bs4ft3PnTkUikexbd3d3HlfpTI1kzrtWOOL+eTINPP+QJ9aGz7KqMgV8RPadijsCAACAAtua6Yg9ODCikyNxLakqs3dBBZZIpvR0TzquwBr+OV8tmcLlMz0RJVOma4avWTcnjcFyGYY71myHlkzuvBtjixbjpWPDGptIqjrg07krqu1eDrAgQ0ND2rt3r9rb2/XhD39YkpRKpWSapnw+nx566CG98Y1vPO3jAoGAAoHS7qi0OpcHhmOKJ1Lzjn2DffqH3B9rY53cYOYBci0cTT+n3HyyJJ/4TQ8AAFBgS6rKdG5miGlHJt6llEwrQC5fWAHyvBXVqvB7NRJP6tCAe3LJ+4bc31lXCNbmy/O9QxqfSNq8msKx8ua3rKx1zYYTcKpgMKj9+/ero6Mj+7Zjxw6tX79eHR0duvjii+1eomMtrSrLFuStk1Zwh6mb727FyQ3ki3WyxM0/H/lEcR4AAMAGVrRNewnmzk8tQHoWWID0egxtXmkNhXVP9ElfxP2ddYWwakmFllaVKZEy9Xx4yO7lFEwHefNwqOHh4WyhXZIOHTqkjo4OdXV1SUpH0tx4442SJI/Ho82bN097q6+vV3l5uTZv3qyqqiq7vg3HMwxjMveb4ryrhLMDYd17+iNUmx5ITOY8cs06jUHn/MwozgMAANigbXWdJKm9BDvnrRzxlgVG2li2ZKNP3FOcL4aBcYVgGIa2ZIbCllK0zb7sLAby5uEse/fuVVtbm9ra2iRJN998s9ra2vSZz3xGktTb25st1GNxGhkK6zqj8YSGxhOSJnPb3aiRgbDIk+zrX5pTZkTmPAAAgA2s4nxH16BSKXPBHeRuZHXOb13gMFiLFX2y30VDYSc767g5OZvWVbV69MVj6uyOSNvsXk3+jU8ks6cE6JyH01x55ZUyTXPWP9+9e/cZP/6zn/2sPvvZz+Z2UUXK6pzvHST32y36ounIjsoyr2oC7i2zWcX5oVhCw7GEql38vcBZwpmfEZpTZkbnPAAAgA3WN9SossyroVhCLx1zT2b6Yo1PJPVCpgDZssgC5BZrKOzRiBLJ1GKXVhD9dA7NWUtm82Z/z6Ct6yiUZ46mhxuvqAlki3MASk9jJlqEznn3CE+JrHPzsPfqgE815emCPN3zyCVibc6M4jwAAIANfF5PtvP7qcOlkzv/zNGoEilTy6sDalrkC/S1y6pUHfBpfCLlmg2OYsikLRTr5+Ol/mGNxBI2ryb/snnzq+pcXdwBsDghokVcp3+oeK7tPP+QD9bzieaDmVGcBwAAsMnkUNhBexdSQFMztRdbgPS4bCisaZrZo+/E2pxdfbBcjcFypUzpaRdFFy1UNu5pkbMYALhbNtaGgbCuYRUei+FU3OTJDWKVkBuj8YSi1kyGIvgZyQeK8wAAADZ5lVWc7y6dznmrAJmrTO1s9IkLivODoxOKJ9LxO/VF0F1XCFb3vBs2XxbL2rhqWeQsBgDuFsoUR8MUR12jmObJhIJ0ziO3rOdSOjbJb/NqnIniPAAAgE2sobAH+ocVHZ+wdzEFYhVZraLrYm1ZmSneuqCz2rp5X1pVpoDPa/Nq3MHaxHHDv+9iDI7G9crxUUm5+9kA4E5WJnP/UEwTLpmnUur6i+hUXCMnN5BjkzMZaEyZDcV5AAAAmyyvDmj10kqZ5mRHeTGLjE3o4MCIpHSudi5YhczneqPZrnSnKqbOukKZ7JwftHchedaZ2bRau7xKdZVlNq8GgJ2WVZXJ7zVkmukCPZzPur4Xw7DLRjLnkWPWz4d1KginozgPAABgI6t7/qnDg7auoxCs6JnVSyu1pCo3BcjVSysVLPcpnkjpxb6hnHzOfOm3bt7pHJoz62TE4eOjGhyN27ya/MnGPdE1D5Q8j8fIbuISbeMOk53BxVOc76U4jxzpLaKfj3yhOA8AAGCjtkxsRynkzndmM7VzV4A0DGMyd97h0SfhSPEcey+UusoyrVlWKam4c+fJmwcwVVN2KCcFUqczTVP9Q8UT2xGqZWMIudWX7Zzn9e9sKM4DAADY6FVrMkNhuwZlmqbNq8kvqzt4a46GwVq2uGRoKLE2C+OWzZeFMk1THd3p7y1Xg5IBuBvRIu5xYiSuiWT69Vt9jfuv76FgemPo5OiExieSNq8GxSDbOU9xflYU5wEAAGy0oTGogM8zLY+9WE0Og63L6edtyUSf7O8ZzOnnzbX+IsqkLSTr37dY5zIcjYxrYDgmn8fQpqag3csB4ABWh+nRQYrzTmdtvC+vLlOZz/0ltmCFTxX+9ND6PobCIgeynfM0p8zK/b85AAAAXKzM58nGvLR3Ddq7mDzqi44rHB2Xx5A2r8xtAdLqnH8hPOToLq/Jznn3H3svpBaXnIxYKGvTYUOoRuWZggiA0pbtnI8SLeJ0/dF0ZF0xdM1L6bjAELnzyCHreURzyuwozgMAANisbbUVbVO8ufNWAXJdQ40qy3w5/dwr6yq0tKpME0lTL4SdOxS2j1ibBdm8slYeI7250V+EXXyd5M0DOAXFUfcIF+GpOGKVkCsTyZQGhtMbWMX0M5JrFOcBAABsZg2FfaqIO+etAmRrHgqQhmFoSyb6ZJ9Dc8nTNydxSVIjxfl5qQr4dH59taTi7J7PzmKgOA8gozEzEJbiqPNZ/0bFtPHeyOYQcqR/KCbTlPxeQ0sry+xejmNRnAcAALCZNRT2hXBUI7GEzavJj2zefHNtXj6/FX2yP7MJ4DT9Q+muIb/X0BJuTuZty8o6SdI+h/77LlQyZWr/EYbBApiuKVMc7R+KKZFM2bwanEn/UPFF1oWynfPEKmFxpm5eeTyGzatxLluL87t27dJrXvMa1dTUqL6+Xm9961v1wgsvnPXj/tf/+l/auHGjKioqtH79et11113T/nz37t0yDOO0t/Fxdv0AAIDzNATL1VRbrpQ52WFeTEzTzHYH56NzXtJk57xDO6utm5P6Gm5OFqI1s6nT6dB/34V6+diwRuJJVZZ5s6cDAGBZdUA+j6FkytSxTCQEnMm6vhfTqTjr5Aad81isYvz5yAdbi/OPPvqoPvShD2nPnj16+OGHlUgkdM0112hkZGTWj7njjju0c+dOffazn9UzzzyjW2+9VR/60If005/+dNrjgsGgent7p72Vl/NkAAAAztS2xsqdH7R3IXnwyvFRRccTCvg8Wt9Yk5evYeV1H+gf1ljceUNh+4swk7aQrH/f/T0RmaZp72JyqCOzabVlZa28bNoAyPB6jGxMCgVSZwtnBsI2FNH13SqkhotwzgsKqxhnMuRDbqdxzdODDz447b+/+93vqr6+Xk8++aSuuOKKGT/m//7f/6sPfOADeuc73ylJOvfcc7Vnzx598Ytf1HXXXZd9nGEYamxszN/iAQAAcqituU7/tq+3KIvzVhTJhU1B+b356Q1pCAa0oiagY0MxPdsb1aszmx1OEY4W37H3QtoYqpHfa+jESFxHTo6peWml3UvKCetng0gbAKdqrC1Xz+AYufMOZ22+N9QUT/GRgcTIFSsaic75M3NU5nwkkj6munTp0lkfE4vFTuuAr6io0H/+539qYmIi+77h4WGtWbNGq1at0lve8ha1t7ef8XNGo9FpbwAAAIXUttrqnD9ZVJ3B0mR3cL4ibaR0Y0bLSufmzk8W57k5WYiAz5s9deHU6KKF6OzO5M0zDBbAKRjK6XyxRFLHRzLD3ouoM9j6XgaGY4onmHmAhbNOlhTTz0c+OKY4b5qmbr75Zr3uda/T5s2bZ33cm970Jv3zP/+znnzySZmmqb179+o73/mOJiYmNDAwIEnasGGDdu/erQceeEB33323ysvLddlll+nAgQMzfs5du3aptrY2+9bc3JyX7xEAAGA2m1cGVeb16PhIXN0nimsA177swMv8DIO1bMkMhd3X47zibb91c0JxfsGsaJtiGQo7PpHUc73ppqB8/2wAcJ8mhnI6nnVtL/N6tKTSb/NqcmdpZZnKvB6Z5uTAW2Ahsp3zFOfPyDHF+Q9/+MPat2+f7r777jM+7m/+5m+0fft2XXLJJfL7/br++uv1p3/6p5Ikr9crSbrkkkv07ne/W62trbr88sv1L//yL1q3bp2+8Y1vzPg5d+7cqUgkkn3r7u7O6fcGAABwNgGfVxc2BSVJT3WdtHk1uTORTOnpnsJ0B7essjrnnVect2IJ6JxfuNZVzh76O1/P9kaVSJlaXl2mlXUVdi8HgMNYQzmP0jnvWFbhuj4YkGEUz9wQj8dQQ206ho9YJSyGdXI0RHH+jBxRnP/IRz6iBx54QL/61a+0atWqMz62oqJC3/nOdzQ6OqpXXnlFXV1dOuecc1RTU6Ply5fP+DEej0evec1rZu2cDwQCCgaD094AAAAKrW11naR0tE2xeLFvSLFESjXlPp2zrCqvX2tzJtbmpWPDGokl8vq15quPWJtFszrnn+6JKJVyf/TTvkzcU8uquqIq6gDIjVC2c57iqFOFI8V7Ki4UTG8OMRQWC2WapvoyPyO8/j0zW4vzpmnqwx/+sH7yk5/oP/7jP7R27do5f6zf79eqVavk9Xp1zz336C1veYs8npm/HdM01dHRoVAolKulAwAA5NyrrNz5TNGuGEzN1PZ48luArK8pV6i2XKYpPXPUWTOErOI8x3oX7oL6apX7PRqKJXRwYMTu5Sxa5xHy5gHMrpHivONl58kU4bWd5x8W68RIXPFkSoaRfo2O2dlanP/Qhz6k733ve/rBD36gmpoahcNhhcNhjY1NZqrt3LlTN954Y/a/X3zxRX3ve9/TgQMH9J//+Z/6b//tv+npp5/WP/zDP2Qfc+utt+oXv/iFDh48qI6ODr3vfe9TR0eHduzYUdDvDwAAYD6szvlnj0Y1PpG0dzE5YuWDW5Ez+bZlpRV9MliQrzcXQ+MTGomn/z0bggGbV+NePq9Hm5qc9++7UJ3WoGTy5gHMwOqc74uOK1kEp4WKUb9VnC/CwmOIgcRYJOu5s6wqoDKfI4JbHMvWv5077rhDkUhEV155pUKhUPbthz/8YfYxvb296urqyv53MpnUl7/8ZbW2turqq6/W+Pi4fvvb3+qcc87JPmZwcFB//ud/ro0bN+qaa65RT0+PHnvsMb32ta8t5LcHAAAwLyvrKlRfE1AiZWq/A4eaLkRHtgBZV5Cvl82dd9Dfn9U1X1PuU2WZz+bVuFtLkeTOR0Ynst3/dM4DmEl9Tbm8HkOJlKnjwzG7l4MZhLOn4opv453OeSxWH3nzc2br3YFpnn33d/fu3dP+e+PGjWpvbz/jx3z1q1/VV7/61cUsDQAAoOAMw1Db6jr94pk+tXed1GvOWWr3khZlNJ7Qgf5hSYUrQG7JfB0nDYXtixZvJm2hTRbnB+1dyCLt6xmUJK1ZVqklVWX2LgaAI3k9huprAuqNjOtoZFz1XEMcp5iHvU92zo+d5ZHAzHqL+Ocj1zhXAAAA4CBtmdz5pw4P2ruQHHjmaFTJlKn6mkDBstatWJuDAyOKjk8U5GueTTHfvBeaNRT2maNRTSRT9i5mEazO/xa65gGcwWT3MgVSJyrmYe+NtZmBsHTOY4HonJ87ivMAAAAOYg2Ffarr5JxOGTpZZ4EjbSRpaVWZVi1J31A+7ZBom3AR37wX2tplVaoJ+BRLpHSgb9ju5SxYNu6pQLMYALgTud/OZZpmUZ+Ms76nvqEYMw+wINbvrUI16LgZxXkAAAAH2bKyVj6Pof6hmI66/Gbc6g4udAEymzvvkGib/iLOpC00j8fQFpdH25immS3Oby3gxhUA92kM0r3sVNHxhMYmrGHvxVd8XFETkNdjKJkyNcDMAyyA1TlfjJtXuUZxHgAAwEEqyrzaGApKktq7Ttq8msXpzBRPC9k5L0lbVqa/3j4654uSVZzvdMjmy3yFo+M6NhST12NoUxOd8wBm11RH57xTWYXHYLlPFWVem1eTe9bMA4nnHxaGzvm5ozgPAADgMG2r6yRJ7V2Dtq5jMQZH4zp8fFSS1JIplheK0zrnw5lj7xTnc8MaLuzWzvnO7vTzcl1DTVEWdADkTiNDOR0r2xVcxIVHZh5gMfqYuTRnFOcBAAAcxirOP+Xiznmrq3nt8irVVvoL+rU3Z7qRu06ManA0XtCvPZN+jvXmlLX58kJ4SOOZSAE3sU6UbG2max7AmZE571ylMOw9lC3O8/zD/AzHEhqKJSQV9wZWrlCcBwAAcBhrKOwzPVHFEu4rPkrSvkymdosNAy9rK/06Z1mlJGm/zdE2yZSp/iE653NpZV2FllWVKZEy9Vxv1O7lzFt2UHLmBAAAzKaxNp053xcdV4qhnI7SVwKRddbMg94oxXnMj7WhUxPwqTrgs3k1zkdxHgAAwGFWL63U0qoyxZMpPXvUfcVHaUrevE0FyC3Z6BN7i/PHh2NKpkx5DGl5dZmtaykWhjF1KKwzoovmKpUyJwclMwwWwFnU1wRkGNJE0tTxEftPgmFSXyayrphPxdE5j4UKkzc/LxTnAQAAHMYwDL0qG20zaOtaFsI0TXV0WwVIe6I7WlY6I3feunlfUROQz8tL71xpyWy+dLosd/7gwLCGYwlV+L26oL7a7uUAcDi/15MdykmB1Fmyw96LuPjYSKwSFihcAjMZcok7BAAAAAdqy0TbtLswd743Mq6B4Zi8HkMXhuwpzlud1XbH2oRL4Ni7HVodNvR3rqxhsJtXBtmsATAnVrQNQ2GdJRtrk9k8KUZ0zmOhrCHCxXyyJJd4RQgAAOBAbZnIi3YXds7vy3Qzr2+oUUWZ15Y1bGoKyjCknsExDQzHbFmDRHE+X6zNl5eOpTvR3cLuuCcA7hMK0r3sRH0l0BncOKU4b5rMPMDc0Tk/PxTnAQAAHKiluU6eTHG5z2WDuDqP2BtpI0k15X6du7xKkr3d831W5ibF+ZyqrylXqLZcpik9bfPpiPnIDoMlbx7AHBEt4jyJZErHhoo/c76+Jv29xZMpnWDmAeaBzPn5oTgPAADgQNUBn9Y11EhyX/d8tgBpc3ewlUtuZ/RJ9th7sHiPvdulJTsUdtDehcxRLJHUs73pAc9bKc4DmKPJaBFibZxiYDiulCl5PYaWVRfv9b3M59HyzPfH5hDmI9s5X8SbV7lEcR4AAMCh3Jg7n0qZ2WJ4i83F+S0rreKtfcV5Ym3yx3p+2fnvOx/P9w5pImlqSaVfq5ZU2L0cAC4RqrMy5ymOOoW18b6iOiCvx7B5NflF7jwWgs75+aE4DwAA4FCvWl0nyV2d8wcHRjQUS6jc79G6hmpb19KSHQo7aNsaSiGT1i6TnfPuKM5n8+ab62QYxV3MAZA72eKoyyLuill2470Eru3ZWCWef5ijeCKlgeF0DBKd83NDcR4AAMChrM75fT2DmkimbF7N3FgRI5ubauXz2vtS88KmoDyG1BeN2Zbb3xct/kxau7SsrJMkdZ0Y1UkXZOF2OCTuCYC7NE4ZCMtQTmfIRtbVFG+kjYVYJcyX9fNR5vVoaVWZzatxB4rzAAAADnXu8irVVvg1PpHS871Ddi9nTpw08LKyzKcL6tO5/Xbkzo9PJBUZm5Ak1VOcz7naSr/OWVYpyd6hv3Nl/WyQNw9gPqxYtHiCoZxOUUqn4hqzxfmYzSuBW2Q3r2oDnBScI4rzAAAADuXxGNlCXnu3O3LnO7N587U2ryRtixV9YkPx1srbrPB7FSz3Ffzrl4LJ3PlBW9dxNtHxCR0cGJHknJ8NAO7AUE7nsQrVpTBPZjJWic55zI31eyoUZL7OXFGcBwAAcLC2TO78U4edX5yPJ1J69mhUknO6g7O58zYUb6d21tE5lB/Wv2+nw3Pnnz4SkWlKq5ZUaFl18ccgAMitpjqGcjpJ9vpeAsX5xiADiTE/fSU0kyFXKM4DAAA42KsyufPtmUgMJ3shPKR4MqW6Sr9WL620ezmSpC0rraGwkYJn9VoD4+pLIJPWLm7pnO+YMgwWAOYrmzvPUE5HyBYfS6A4P5k5z8wDzE22c57i/JxRnAcAAHAwq5h3+Piojg87O+/TKkBuWVnrmE7xjaGgfB5DA8Pxgnd9lVImrV02r7R/6O9cZPPmGQYLYAGsIlfvINEiThDOXt+Lf/Pdeg0zGk8qOp6weTVwg3AJbV7lCsV5AACQc//0T/+ktWvXqry8XK9+9av161//etbHPvLIIzIM47S3559/voArdq7aCr8uqK+WJLV3Ddq7mLPY58CBl+V+r9Y1pIfC7itw9ElfNL2ZUgrH3u0ydehvof9956OzO702OucBLERjbTpahFgb+43GExrKFKlLofhY7vdqSaVfEs8/zE2Yzvl5ozgPAABy6oc//KE+/vGP69Of/rTa29t1+eWXa/v27erq6jrjx73wwgvq7e3Nvl1wwQUFWrHzWbnzTh8Kuy87DLbO3oWcIps73zNY0K+bjbUpgZt3O2WH/jo02qYvOq5wdFweI93pDwDzle2cpzhqO2vjvbLMq+pAaQx7tzYheiOc3MDZWcX5Uti8yhWK8wAAIKe+8pWv6H3ve5/e//73a+PGjbrtttvU3NysO+6444wfV19fr8bGxuyb1+st0Iqdry2TO//U4UF7F3IGI7GEDvQPSZJaM8VSp5gs3ha4cz5SOgPj7NTq8KGwVqTNuoYaVZaVRiEHQG5Z0SJhB8d3lYrwlGu7UyL88m1q7jxwJqmUmY0ZpHN+7ijOAwCAnInH43ryySd1zTXXTHv/Nddco9/+9rdn/Ni2tjaFQiFdddVV+tWvfnXGx8ZiMUWj0WlvxcwaCtt5ZFDJlDOHcT3dE1HKTL8Qd1qneMvKOkmFHwrbN1Q6mbR2sk5q7D8y6MhhdZ3WMFiHnSgB4B5NmVib3siYI3/PlZJSGgZracw+/yjO48yOj8SVSJkyDGlFDa9/54riPAAAyJmBgQElk0k1NDRMe39DQ4PC4fCMHxMKhfTtb39b9957r37yk59o/fr1uuqqq/TYY4/N+nV27dql2tra7Ftzc3NOvw+nOb++WtUBn0bjSb3YN2T3cmbk5ALkusZqlXk9Ghyd0JGThTmSbZpm9uh7fU3p3MDbYUOoRn6voZMF/PedD/LmASxWfTBd5BqfSGlwdMLm1ZS2yeJ86RQe6ZzHXFk/HyuqA/J7KTnPFX9TAAAg50495mua5qxHf9evX68/+7M/06te9Spt27ZN//RP/6Q3v/nN+tKXvjTr59+5c6cikUj2rbu7O6frdxqvx1Brczq646kuZ+bOW5EiLc3OirSRpIDPqw2hwg4NPTk6oXgiJam0uuvsEPB5taExneXe6bDc+VTKzGbhtzrwZwOAO5T7vVpWVSaJ7mW7WdFCDSUU2UGsEubK+v3UWEI/H7lAcR4AAOTM8uXL5fV6T+uS7+/vP62b/kwuueQSHThwYNY/DwQCCgaD096KnRVt0941aO9CZmHlam91YOe8JG1ZmcmdL9BQWKtzaFlVmcp8vOTOt+zQX4flzr9yfETR8YQCPo/WNdTYvRwALjZZIHXeCaFSYl3fS2meDJ3zmKtwCf585AJ3CgAAIGfKysr06le/Wg8//PC09z/88MO69NJL5/x52tvbFQqFcr08V2tbXSfJmZ3zx4dj2TiRzQ4bBmspdPHWujlxWv5+sbLilJzWOW+tZ/PKWo53A1gUq0BK57y9rMi6UjoVN/ncY2MIZxbOPEfonJ8fn90LAAAAxeXmm2/WDTfcoIsuukjbtm3Tt7/9bXV1dWnHjh2S0pE0PT09uuuuuyRJt912m8455xxt2rRJ8Xhc3/ve93Tvvffq3nvvtfPbcJy25nTn/MFjIxocjauusszmFU2yomLOXVGlYLnf5tXMbMuUobCplCmPZ+aYpVzps471llAmrZ22ZDZfnu6JFuTfd66yefMOPVECwD1CmaGcdC/by/r7L6XivDUQNjqe0EgsoaoApUTMLBxJb15RnJ8ffqIAAEBOvfOd79Tx48f1uc99Tr29vdq8ebN+9rOfac2aNZKk3t5edXV1ZR8fj8d1yy23qKenRxUVFdq0aZP+7d/+Tddee61d34IjLakq09rlVTo0MKKO7kFdub7e7iVlWd3BTo20kaQLGqoV8Hk0NJ7Q4ROjWru8Kq9fz+qs4+akMC6or1a536PhWEIHB4Z1fr0zImQ6MnFP5M0DWCzrenJ0kOK8XVIpU/1DpZepXR3wqSbg01AsoXB0XOetqLZ7SXAoK3aLWJv54WwlAADIuQ9+8IN65ZVXFIvF9OSTT+qKK67I/tnu3bv1yCOPZP/7k5/8pF566SWNjY3pxIkT+vWvf01hfhZtzXWSpKccljtvdc63ODTSRpL8Xo8ubErPJthXgOiTbKxNDTcnheDzerS5KTNXwCG58/FESs/2RiXROQ9g8UJkztvuxGhcE0lTkrSiurROxjWSO485CDMQdkEozgMAALhE2xprKKxzcudN08wOg23NbB44VcvKwuXOZwfGcXNSMC2ZArhTivMvhIcUT6RUW+HXmmWVdi8HgMs1kjlvO+vavry69Ia98/zDXGSL83TOz0tp/TYBAABwMatzvqN7UKmUae9iMnoGx3R8JC6fx9DGUNDu5ZzRFqt421PA4jw3JwVjndxwylDYjsw6WpvrZBjOyMAH4F5TM+dN0xmvAUqNdW0vpbx5i/V6JsxQWMxiaHxCI/GkJJpT5oviPAAAgEtsaKxRhd+rofGEXj42bPdyJE0OvNwYCqrc77V5NWdmFW+f6YkomefNDesGvp6BsAVj/fs+ezSqiWTK5tUoe6Jkq4PjngC4hxVrMxpPKjqesHk1pckadlmKxfkQnfM4C6trPljuU2UZI07ng+I8AACAS/i8nmwBst0hufNWfruT8+Yt562oVoXfq5F4UocG8re5EU+kNDAcl0TnfCGds6xKNeU+xRIpvdg3ZPdypvxs1Nm6DgDFodzv1ZJKvySpl+5lW5R05/yUkxvATKx5S9YpH8wdxXkAAAAXaVudzp1/yiG58x0uyZuXJK/H0OaV1lDY/EXbHBtOd9b5vYaWVpXl7etgOo/HyG4S2Z07PxxL6EB/egOopdn5G1cA3MEqkNK9bI9Sjqyjcx5nYz03Goi0mTeK8wAAAC7yqtV1kpzROZ9MmXo6k9/e6pLu4C0r6yTlt3hrdZXV15STNV5gk/++g7auY/+RiExTWllXofoablIB5IZVIKV72R7hbOd86UXWWRni1gYFcKq+zO+lUAluXi0WxXkAAAAXsTrnX+wf0tD4hK1refnYsEbiSVWWeXV+fbWta5krq7N6fx6HwmY76+gcKrhWayhst72d853ZYbB0zQPInUa6l23VF81kzpfg9d3aGDo+Etf4RNLm1cCJeqN0zi8UxXkAAAAXWVETUPPSCpmmAwqQmUibzStr5fW4o0N8izUU9mhEiTwNDS3lY+92a8nEK73YN2Rr8cDq3HfLiRIA7tCU7Zwnc94OpXx9r63wq9yfLiH2ZzYpgKmynfMU5+eN4jwAAIDLtDWnu+fbbc6dz3YHu2AYrGXtsipVB3wan0jppWP5GQprHXuvL8Fj73Zrqi3XsqoyJVKmnu2N2rYOa+OMYbAoFo899piuu+46NTU1yTAM3X///Wd8/E9+8hNdffXVWrFihYLBoLZt26Zf/OIXhVlsESNz3j6xRFInRtLD3ktxIKxhGNlBnwwkxkys30uluHm1WBTnAQAAXKYtkztv91BYK7fdDcNgLZ4CDIXt4+bENoYxZShs5mRHofUPjatncEyGMXlSA3C7kZERtba26vbbb5/T4x977DFdffXV+tnPfqYnn3xSb3jDG3Tdddepvb09zystbgzltI/VLV7m82hJpd/m1djDel0TJnceMyDWceF8di8AAAAA8/OqTO58e/egTNO0ZehoLJHUc5nOZLdFd7SsqtOegye0/0hE77ioOeef38qk5ebEHi2r6vSrF45pXx7nCpzJvkzX/AX11aoOcLuF4rB9+3Zt3759zo+/7bbbpv33P/zDP+hf//Vf9dOf/lRtbW05Xl3paGQgrG36pgyDLdVh72wOYTaxRFLHMydLaE6ZP14tAgAAuMzGUFBlPo8GRyf0yvFRrV1eVfA1PNc7pImkqaVVZVq1pKLgX38xtqzMdFbnqXhr3cDX13BzYgdrCGu+TkacTSd588BpUqmUhoaGtHTp0lkfE4vFFItNZllHo/ZFUzmVVRwdjiU0ND6hmvLS7OC2g9Ut3lDC1/YGNocwC+tkScDnUV2JnixZDGJtAAAAXKbM58kWmJ86bE+0jTXwsmVVres6yKzYk+d6o4oncjsU1jTN7A08nfP22LKyTpL08rFhDccSBf/6nZlNgRYXxT0B+fblL39ZIyMjesc73jHrY3bt2qXa2trsW3Nz7k82uV1lmU+1FenCFwXSwrJOxTWU8LV9snOezHlMl82bry133X2BE1CcBwAAcKFXZXLn27vtKc53/P/s3Xt8XAWd///3mUsmt0nSW+7pTaH0ljQFFwFRvFC2uKzuF7/iFfGBrqxFlC5e6nrHtQ9WVEQEXAQriyLfFUT2t6wLrgLLArKlubSlULClSdNcmrbJ5J7MzPn9MXMmDb2lycycOee8no9HHpowmflMk8lJPudz3p9knrcTp4MXzi1USX5A49G4dncPpPW+B8eiGh6PSUpc+o7sWxAOqbo0X6Ypbc/y9LxpmmpJvjbWOPC1AWTC/fffr2984xt64IEHVF5efsLbbdq0Sf39/am39vb2LFbpHESL2COVp+3hyI5U5jzfe3idLl4fs0JzHgAAwIEardz5tj5bHn9yGazzFl4mloaWSZK2pznaxvrjPZwfUGEeCZJ2mfz69mX1cfcdGlb/yITyAj4tqwxn9bGBXPTAAw/o6quv1v/7f/9P73rXu05621AopJKSkilvOFYl08u2sBrSXj7xXlWaiDHkxBBeryv584irRmeG5jwAAIADWUthX+oa0PB4dqM7BkYn9OeDg5Imm6BOs7o2M7nkXf3JZbBMDtmqPnnSqCXLk/NW3vzK6sReCMDL7r//fl111VX65S9/qXe/+912l+MaTM7bY3IhrHeP71bj9eDgmCZi6Y0FhLOlfv+lOT8j/MYIAADgQJWl+aoqzVcsbmZ98eX2jn6ZplRTVqD5xc6cIKtPZvane7KavPncUJ/Mnbd2I2RLS3vyihKHnrQCTmRwcFDNzc1qbm6WJO3du1fNzc1qa2uTlIikufLKK1O3v//++3XllVfqe9/7nt785jerq6tLXV1d6u+3Z1Gzm1SWJKaXiRbJLmJtpHlFeQr6DZmmdHBg7NSfAM/oiiQn5z38+pgNmvMAAAAO1ZjMnd/Wlt3c+VQD0oGRNhZrcv7lrgGNTsTSdr/WH+/lYf44sZP19W0/PKLDQ+NZe1xrct7Jrw3geLZu3arGxkY1NjZKkjZu3KjGxkZ97WtfkyR1dnamGvWS9JOf/ETRaFQbNmxQVVVV6u2zn/2sLfW7SVUZk/PZdvSydy9Pzvt8Rur58/2Ho1knC6sYTpkRgjABAAAcau3COXp0e1fWc+etaWQnTwfXlBVoblGeDg+N6+WuATXUlaXlflOTdaXOvKLALUoLgloyv0h7e4e0vaNfbztzQcYfcyIW144OJufhThdddJFM0zzhf9+yZcuU95944onMFuRhVvOLyfnsiYxGNTqRiHHx+pVxVaX52n9khO8/TDG5k8Hbr4+ZYnIeAADAoazJ+aa2vpM2TdLNitFxat68lFgKuzoZbdOaxqWw1h8nXNZrv9TXt70vK4/3cteAxqJxleQHtHheUVYeE4D3WM35AyyEzRrrxHtpQVD5Qb/N1dirMrUUlu8/JMTipnqSMUfW0mCcHprzAAAADrWyulRBv6HewTHtP5KdP5IODoypo29EhjEZHeJU9cn6t6cxl7w7+cdJOc1521lf32wthZ2MtCmTz2dk5TEBeI/VHB0YjWpwLLsL4b1qciqYq+K4cgOvd2hwTNG4KZ8hzS/Os7scR7K1Ob9582a96U1vUjgcVnl5ud773vfq5ZdfPuXn/fjHP9by5ctVUFCgZcuW6d577z3mNg8++KBWrFihUCikFStW6De/+U0mngIAAIBt8oN+rahONCCzlTtvRdq8cUGxikPOTkhMTVansXnbzeR8zrCiitK99PdEWtutK0qcfdIKQG4rDgUUTh5/aZBmRzd58ynW7zedEb73kNB11L6lgJ8Z8Jmw9V/tySef1IYNG/Tcc8/p8ccfVzQa1bp16zQ0NHTCz7njjju0adMmfeMb39DOnTv1zW9+Uxs2bNC//du/pW7z7LPP6oorrtBHP/pRtbS06KMf/aje//73609/+lM2nhYAAEDWNCYbkNnKnW9JRoSkK6PdTlYszys9gxoZn/1S2Fjc1MHBxOS81zNpc8HK6hL5DKk7MpZqrGRSiwt2MQBwhkqml7MqtU+G5jzfeziGtRy4gt99Z8zW5vzvfvc7XXXVVVq5cqUaGhr0s5/9TG1tbXrhhRdO+Dn/8i//ok996lO64oortHTpUn3gAx/Q1VdfrZtuuil1m1tuuUUXX3yxNm3apLPOOkubNm3SO9/5Tt1yyy1ZeFYAAADZs3bRHElSU5Ym562IkAYXTAdXlIS0IBxSLG7qxc7IrO/v0OCYYqnLern03W6FeQGdUR6WNHlSKVOGxqLa3T0gSVrjghNXAHJbVRm539nUxeR8Cs15vJ518qqK18eM5dT1Bv39iT/25s6de8LbjI2NKT9/6he8oKBAzz//vCYmJiQlJufXrVs35TaXXHKJnnnmmRPeZyQSmfIGAADgBNbk/M4DEY1OzH76+2RM00xNBzt5GazFMAzV16Qvd976431BOCQ/meM5wYqYSWd00fHs6OhX3Exk8bJvAECmWU2wThqkWdEdSVwVx2TwZOZ8d2RUsbhpczXIBdbPIa4anbmcac6bpqmNGzfqLW95i1atWnXC211yySX66U9/qhdeeEGmaWrr1q265557NDExod7eXklSV1eXKioqpnxeRUWFurq6jnufmzdvVmlpaeqtrq4ufU8MAAAgg2rnFGh+cUjRuKkdHZltQLYfHlHf8ITy/D6dVRXO6GNli7XUtjUN/3Zd5M3nnPrkyat0fH1PpjV1RUlZRh8HAKTJJhjN+ewg1mbSguKQfIYUjZs6lIzyg7d105yftZxpzl977bVqbW3V/ffff9LbffWrX9X69ev15je/WcFgUO95z3t01VVXSZL8fn/qdoYxdVrJNM1jPmbZtGmT+vv7U2/t7e2zezIAAABZYhiG1i4sk5T53Pnm5HT58qqwQgH/yW/sENZk9fY0TFZ3DyQn6/jjPWc0pCbn+2SamZvws14b9XXOj3sCkPuqUtEixNpkAyffJwX8PpWHk99/LIWFjpqc5/UxYznRnP/MZz6jRx55RH/84x9VW1t70tsWFBTonnvu0fDwsF577TW1tbVp8eLFCofDmj9/viSpsrLymCn5np6eY6bpLaFQSCUlJVPeAAAAnKJxYTJ3vj2zufOtLloGa1mVjLV59eCghsais7ova3KI5nzuWFYZVtBvqG94Qu2HM9fEsjLt1zA5DyALmJzPnmgsrt5B6+Q7+2Qkvv8wVerKEibnZ8zW5rxpmrr22mv10EMP6Q9/+IOWLFky7c8NBoOqra2V3+/Xr371K/3VX/2VfL7E0znvvPP0+OOPT7n9Y489pvPPPz+t9QMAAOQCa3J+276+jD6Om/LmLeXhfFWV5ss0E7n9s9HFHyc5JxTwa3lVYvCmJQ17BY7n0OCY9h8ZkWFIq1ywKBlA7qtOLoRlcjnzegfHFTclv8/QPJa9Szr6yg2+/7zONE0m59PA1ub8hg0bdN999+mXv/ylwuGwurq61NXVpZGRyamWTZs26corr0y9v3v3bt1333165ZVX9Pzzz+sDH/iAduzYoe985zup23z2s5/VY489pptuukkvvfSSbrrpJv3+97/X5z73uWw+PQAAgKxYXVsqv89QV2RUnRm6xD0ai2tHR6J5vcZl0R2rayajT2bDmhxicj63pKKLMpQ7b+XNv2FBsUrygxl5DAA4mnUSuG94QiPjmV0G73XWCZBylr2nMDkPS2Q0qpGJxM8ghlNmztbm/B133KH+/n5ddNFFqqqqSr098MADqdt0dnaqra0t9X4sFtP3vvc9NTQ06OKLL9bo6KieeeYZLV68OHWb888/X7/61a/0s5/9TPX19dqyZYseeOABnXvuudl8egAAAFlRmBfQWZWJBa2Zmp5/9eCgRiZiKg4FtHR+cUYewy7pat5ONueZrMsl1pUeVvRMujUn77eeqXkAWRIOBVSUl9j9kqmT8kiwpsPLOfGews4DWKzXR1lhUPlBd+yjskPAzgefzlKmLVu2THl/+fLlampqOuXnve9979P73ve+mZYGAADgKGsXztHOAxE1tR3Ru+ur0n7/VmNzdU2pfC6bHFudbN7OdiksC+Nyk9U039HRr1jcTPvkoxWXs8ZFuxgA5DbDMFRZmq8/HxxSV/+oli5w10nzXNIzYB3bOfFuqSxNxCoxOY9UpCO/+85KTiyEBQAAwOw0JnPnmzI0HdySbFzXuyzSRpqMtdnTO6TI6MSM7mNkPKbIaGKhbAWX9eaUNy4oVkHQr6HxmPYcHEzrfZummTpx1eCiXQwAcl8VDdKs4MT7sax/C3YewLp6gkib2aE5DwAA4AJrF86RlIhmGY/G037/VgNyjQsbkHOL8lQ7J9Hk2DHDaBsr0qYg6Fc4ZOvFqXidgN+nVTWJpbCts7w64vXaD4/oyPCE8vw+nVUVTut9A8DJpKJFaJBmVCpznuZ8StVRmfPTScSAe3X1j0ma/J7AzNCcBwAAcIFF8wo1pzCo8WhcL3ZG0nrfoxMxvdw1IEmqd2l0Ryp3fobN29RlvaX5Mgx3xf64weqaMkmzX/r7elakzfLqEoUCZK0CyB6rGXagj9zvTOqJJJqPTM5PKk9G/IxH4zoyPLMrDuEOXZHEz58KXh+zQnMeAADABQzDUGNyer6p7Uha73vngYiicVPzi/NU7dLJmFTzdpaT8yyDzU0NyTimljRPzk9G2rgv7glAbrNyv7uItcmoo0++IyEU8Gt+cZ4kFhJ7nfXzh8n52aE5DwAA4BJrk7nz29r60nq/1rRxQ22Za6fCZzs5P9mc54+TXFSfjGN6sTOiiVj6Yp9ajnptAEA2HR0tgszp7ufk+/FYJyu6iVXytM5+fv9NB5rzAAAALpGpyXlrOrjexQ3IVdWJ5nzb4WH1DY+f9udbmZtc9p6bFs8rVDg/oPFoPBXRNFvRWFzbk1daNLg07glA7qokcz7jhsaiGhhLLnvn+D5FZQkLiTF5csZaUI2ZoTkPAADgEg11ZTIMaf+REfUMpO+PJWuJphUN4kalhUEtnlcoSamG6+noHmByKJcZhpG6OiJdS2Ff6RnU6ERc4VBAS+cXpeU+AWC6qpPNsMND4xqdiNlcjTtZjceiPL/C+UGbq8ktqYXENOc9a3Qilto5wHDK7NCcBwAAcIniUEDLKsKSpKY0Rdv0j0xoT++QJHdPzkvS6uTzm0nztpvLenNeferr25eW+7OuKFldWyqfz51xTwByV0lBQAXBxCJqGqSZ0UVk3QlVEqvkedbJq4KgXyUFAZurcTaa8wAAAC7SmMydT1dz3spgXzi3UHOL8tJyn7mqvmbmufOTC+PIpM1VDWmenE/lzRNpA8AGhmGQO59hPZFEZB3N+WMxOQ/r505lab5rd1JlC815AAAAF7Fy57elKXfeakBakSButtpaCnuasTamafIHvANYk/Mvdw+kJQKiuT0Z9+TyK0oA5K7J3PkRmytxp8kT7xzbX29ycp7vPa+yJueJtJk9mvMAAAAusjY5Od+6v0/RWHzW92dFd6zxwHTwyuoSGYbU0Tei3sGxaX/ekeEJjSf/rcvD/IGSq6pK8zW/OE+xuKmdByKzuq+R8Zh2dycWy3rhtQEgNxEtklnWVHh5CVfFvZ61ALSzf1SmadpcDexw9OQ8ZofmPAAAgIssnV+skvyARifieqlrYNb3Z0WAuD1vXpLC+cHUYs/TmZ63/nifV5SnvAC/XueqxFLYMkmzz53feaBfsbip8nCIP0oB2MZaCku0SGb0DDAZfCLWv8nweEwDY1Gbq4EdumjOpw1/PQAAALiIz2doTTLapmmW0TbdkVF1RUblM6RVNSXpKC/nWc3b08md7x5gYZxTWPFMM9krcLTm5BUl5M0DsJPVFDvQR3M+E1LNR47vxyjI86u0ICiJk0NeRaxN+tCcBwAAcJnGZMNwtkthrUibMyvCKswLzK4oh1hdc/pLQ7v7reY8l73nOqs53zLLyfmW5PcHkTYA7FRF5nxGdSf3yZTTfDwuFhJ7G7E26UNzHgAAwGXWLkrPUlgvLYO1pCarO/qm/TksjHMO68qIPb1DGhidmPH9WCeuWAYLwE6phbA0R9MuHjcnY204vh/X5PcfJ4e8iMn59KE5DwAA4DJrkg3D1w4N6/DQ+Izvx5oe91J0x4rqEvmMxLSc9UfHqViTdcTa5L75xSHVlBXINKUdHTNbCntkaFxth4clSas9dOIKQO6xlnL2Do5rLBqzuRp3OTw8rolYYtFpeZgr444ndeVG/5jNlSDbYnFTPQOJr3sVJ69mjeY8AACAy5QWBvWGBYnFps3tM5ueN03Tk9PBhXkBnVEeljT9XHKriU9z3hmsqyNmuhTWuqJk6fyiVN4uANhhTmFQoeQi8p4IDdJ0sq5GmF+cp6Cf1tnxVJYkFxITq+Q5vYNjisVN+X2G5hVz8mq2+AkDAADgQmuTS2G37eub0ee/dmhYkdGo8gI+LasMp7Gy3GdNQ7d2TK85z8I4Z0l9fWe4FLal3XtXlADITYZhkPudIT0sez8lvve8y/qaV4RD8vsMm6txPprzAAAALtSYbM43zXBy3poqXlld4rmJsVTu/DQnq/kD3lmsK0FmuhTW+rwGIm0A5IDKVIOU6eV0sqJaOPF+Yuw88C7ra15BpE1aeOsvLQAAAI9Yu6hMktTc1qdY3Dztz2/2YKSNZXWNtRS2X6Z58n+78WhcvYOJXP+KEi7rdYJVya/v/iMjp72TYUrcE5PzAHKAlTvP9HJ6Wcvey2nOnxCT895lLQEmbz49aM4DAAC40BnlYRXl+TU0HtMrPQOn/fmTy2C9Nx28vKpEAZ+h3sHxU/7BaU3N5/l9mluUl43yMEulBUEtnZ/YyXC6ufMdfSM6NDSugM/Q8qqSDFQHAKeH6eXM6IkQWXcq1vde/8iEhsejNleDbOpK7rjgqtH0oDkPAADgQn6fkZrsbWrrO63PnYjFtSOZt17vwcn5/KBfZ1YkcvZPlUvenZqsC8kwyNx0ipnmzlt588urSpQf9Ke9LgA4XVXE2mSENTlfWcpVcScSzg+qKC9xLOTkkLdYk/OcvEoPmvMAAAAuNbkU9vRy53d3D2gsGlc4P6Al84oyUVrOS+XOd/Sd9HbdTA45knXS6XQn51N58x68ogRAbrJibWiOppf170mszclx5YY3TZ684vWRDjTnAQAAXKpxYZkkqSmZkT1d1nRwfW2pfD5vToNPd7La+mOUySFnaZjh5LyXdzEAyE3W5PwBmqNp1TPAQtjpYOeBN/H7b3rRnAcAAHCpNclYm1d7BtU/PDHtz7Omib3cgKyvKZN06qWwVqwNk/POsrK6VD4j0XyZ7rRfLG6m4p7WsAwWQI6wJld7B8c0Ho3bXI07jEVjqYXhNB9PLjU5H6E57xWmaaa+3tbJGcwOzXkAAACXmlcc0uJ5hZKk5tOI77Cmg72YN285s7JYeX6f+oYntP/IiXN8J5vzZNI6SUHe5F6Blmm+Nl7tGdTweExFeX4tXVCcweoAYPrmFuYpz++TaU4uKcfs9CQj6/ICPpUVBm2uJrdVEWvjOf0jExqdSJwILOf337SgOQ8AAOBijcnc+aa26eXOj4zH9ErPoCRvTweHAn6dVXXqpbBkbjpXaq/ANKNtWpInrVbXlsrv0bgnALnH5zNUkVxaSoM0PY4+8c6y95OrTC0k5nvPK6zffecW5Sk/6Le5GnegOQ8AAOBia5O589va+qZ1+50H+hWLmyoPhzzfcF5dk8wlP8lSWBbCOpd1Zch0J+ebU8tgyzJSDwDMFLnf6ZU68c6x/ZRSk/ORE19lCHexfs7wu2/60JwHAABwMWtyvrntiOLxE2enW1ILL2lAnnKy2jRNMucdLPX1PcVeAYu1i2GNh+OeAOSmqtT0Mg3SdLCuQCjn2H5KlSWJE0NcteEd3f1W3jyvj3ShOQ8AAOBiyyrDyg/6FBmNak/v0Clvb0W4NCQbl162+qilsMc7sTEwFtXweEwS03VOdFZlSWqvQNvh4ZPednQippc6ByRJ9Zy4ApBjiBZJr24m56etKrWQeFxj0ZjN1SAbmJxPP5rzAAAALhb0+1LxHdumkTtvRXx4eRms5YyKYoUCPg2MRrXvOM1ba3KoJD+ggjwyN50mL+DT8mnsFZCknQciisZNzS8OqZpJMQA5pqqEpZzpZEXW0Zw/tbLCoEKBRGvRWqQLd7NOXjE5nz405wEAAFyuMZk733SK3Pm+4XHtO5RoQtczOa+g36cV1SWSJiNNjpb6450/ThzLOgl1vK/v0axlsGvqSlkOCCDnVJI5n1ZW5nwFx/dTMgzjqFglvv+8wPo6c/IqfWjOAwAAuNzaZO580ykm51uS08OL5xWqrDAv43U5QX3NiXPnu8ibd7zVyZNQLaeYnLeuKGngihIAOai6jMn5dErtkwmHbK7EGazfg9h54A2p2CdOXqUNzXkAAACXa0xmZL/cPaDBsegJb9fKMthjrLYmqzuObd6yDNb5rGb7jo5+xU6yMDm1i4HXBoAcZDXJegZGFY3Fba7G2Y5e9k7zcXqsyXlODnlDanKe10fa0JwHAABwufKSfNWUFcg0Jxvwx0Pe/LGseJ+dx2nesjDO+d5YXqzCPL+Gx2Pac3DwuLfpGx7X3uQyZeKeAOSi+UUhBXyG4qbUM0Du92xERqIanUic4ODk+/QQq+QdI+Mx9Y9MSKI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