{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "3100fc3f",
   "metadata": {},
   "source": [
    "# 🐝🎵 Introduction to Xylo™Audio"
   ]
  },
  {
   "cell_type": "raw",
   "id": "1f5578cd",
   "metadata": {
    "raw_mimetype": "text/restructuredtext",
    "vscode": {
     "languageId": "raw"
    }
   },
   "source": [
    "Xylo™Audio is a platform for audio sensory processing, combining a low-power analog audio front-end with a low-power SNN inference core.\n",
    "Xylo™Audio is designed for sub-mW audio processing, in always-on applications.\n",
    "\n",
    "This notebook gives you an overview of interfacing from Rockpool to the various cores of Xylo™Audio.\n",
    "\n",
    "See also :ref:`/devices/quick-xylo/deploy_to_xylo.ipynb` and :ref:`/devices/analog-frontend-example.ipynb`."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "731c22c0",
   "metadata": {},
   "source": [
    "> **_Note:_** In this tutorial Xylo™Audio refers to Xylo™Audio 2 and Xylo™Audio 3. In case differences occur we will explicitly name the correct HDK."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "ef2e9237-df98-4c4f-aadc-14141709222f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Specify the xylo board you would like to use for this tutorial\n",
    "\n",
    "# Available boards: XyloAudio2 and XyloAudio3\n",
    "xylo_board_name = 'XyloAudio3'\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "5e4cac89",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# - Display images\n",
    "from IPython.display import Image\n",
    "\n",
    "Image('xylo-a2-block-level.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "f5836d86",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# - Display images\n",
    "from IPython.display import Image\n",
    "\n",
    "Image('xylo-a3-block-level.png')"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "7fbbedc9",
   "metadata": {},
   "source": [
    "## Part I: Using the XyloAudio SNN Core"
   ]
  },
  {
   "cell_type": "raw",
   "id": "c78f9126",
   "metadata": {
    "raw_mimetype": "text/restructuredtext",
    "vscode": {
     "languageId": "raw"
    }
   },
   "source": [
    "Interfacing with the XyloAudio SNN core is the same as for other Xylo family devices, making use of the Xylo deployment pipeline;\n",
    ":py:class:`.syns61201.XyloSim` and :py:class:`.syns61201.XyloSamna`, for XyloAudio 2;\n",
    "and :py:class:`.syns65302.XyloSim` and :py:class:`.syns65302.XyloSamna`, for XyloAudio 3.\n",
    "\n",
    "See also :ref:`/devices/quick-xylo/deploy_to_xylo.ipynb` and :ref:`/devices/xylo-overview.ipynb`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "a1fd018c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 4,
     "metadata": {
      "image/png": {
       "width": 400
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image('XyloSamna.png', width=400)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "2339fc21",
   "metadata": {},
   "source": [
    "### Step 1: Build a network in rockpool and convert it to a hardware configuration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "03c4d794",
   "metadata": {},
   "outputs": [],
   "source": [
    "# - Import the computational modules and combinators required for the network\n",
    "from rockpool.nn.modules import LIFTorch, LinearTorch\n",
    "from rockpool.nn.combinators import Sequential, Residual\n",
    "from rockpool.transform import quantize_methods as q\n",
    "from rockpool import TSEvent, TSContinuous\n",
    "\n",
    "# - Imports dependent on your HDK\n",
    "# - XyloAudio 2\n",
    "if xylo_board_name == 'XyloAudio2':\n",
    "    import rockpool.devices.xylo.syns61201 as xa2\n",
    "    from rockpool.devices.xylo.syns61201 import xa2_devkit_utils as xa2utils\n",
    "# - XyloAudio 3\n",
    "elif xylo_board_name == 'XyloAudio3':\n",
    "    import rockpool.devices.xylo.syns65302 as xa3\n",
    "    from rockpool.devices.xylo.syns65302 import xa3_devkit_utils as xa3utils\n",
    "\n",
    "import numpy as np\n",
    "\n",
    "try:\n",
    "    from rich import print\n",
    "except:\n",
    "    pass\n",
    "\n",
    "import sys\n",
    "!{sys.executable} -m pip install --quiet matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "plt.rcParams['figure.figsize'] = [12, 4]\n",
    "plt.rcParams['figure.dpi'] = 300\n",
    "\n",
    "# - Disable warnings\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "from IPython import display"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "31608365",
   "metadata": {},
   "outputs": [],
   "source": [
    "# - Define the size of the network layers\n",
    "Nin = 2\n",
    "Nhidden = 4\n",
    "Nout = 2\n",
    "dt = 1e-3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "3b9c0b79",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">TorchSequential  with shape <span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span><span style=\"font-weight: bold\">)</span> <span style=\"font-weight: bold\">{</span>\n",
       "    LinearTorch <span style=\"color: #008000; text-decoration-color: #008000\">'0_LinearTorch'</span> with shape <span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span><span style=\"font-weight: bold\">)</span>\n",
       "    LIFTorch <span style=\"color: #008000; text-decoration-color: #008000\">'1_LIFTorch'</span> with shape <span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span><span style=\"font-weight: bold\">)</span>\n",
       "    TorchResidual <span style=\"color: #008000; text-decoration-color: #008000\">'2_TorchResidual'</span> with shape <span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span><span style=\"font-weight: bold\">)</span> <span style=\"font-weight: bold\">{</span>\n",
       "        LinearTorch <span style=\"color: #008000; text-decoration-color: #008000\">'0_LinearTorch'</span> with shape <span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span><span style=\"font-weight: bold\">)</span>\n",
       "        LIFTorch <span style=\"color: #008000; text-decoration-color: #008000\">'1_LIFTorch'</span> with shape <span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span><span style=\"font-weight: bold\">)</span>\n",
       "    <span style=\"font-weight: bold\">}</span>\n",
       "    LinearTorch <span style=\"color: #008000; text-decoration-color: #008000\">'3_LinearTorch'</span> with shape <span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span><span style=\"font-weight: bold\">)</span>\n",
       "    LIFTorch <span style=\"color: #008000; text-decoration-color: #008000\">'4_LIFTorch'</span> with shape <span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span><span style=\"font-weight: bold\">)</span>\n",
       "<span style=\"font-weight: bold\">}</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "TorchSequential  with shape \u001b[1m(\u001b[0m\u001b[1;36m2\u001b[0m, \u001b[1;36m2\u001b[0m\u001b[1m)\u001b[0m \u001b[1m{\u001b[0m\n",
       "    LinearTorch \u001b[32m'0_LinearTorch'\u001b[0m with shape \u001b[1m(\u001b[0m\u001b[1;36m2\u001b[0m, \u001b[1;36m4\u001b[0m\u001b[1m)\u001b[0m\n",
       "    LIFTorch \u001b[32m'1_LIFTorch'\u001b[0m with shape \u001b[1m(\u001b[0m\u001b[1;36m4\u001b[0m, \u001b[1;36m4\u001b[0m\u001b[1m)\u001b[0m\n",
       "    TorchResidual \u001b[32m'2_TorchResidual'\u001b[0m with shape \u001b[1m(\u001b[0m\u001b[1;36m4\u001b[0m, \u001b[1;36m4\u001b[0m\u001b[1m)\u001b[0m \u001b[1m{\u001b[0m\n",
       "        LinearTorch \u001b[32m'0_LinearTorch'\u001b[0m with shape \u001b[1m(\u001b[0m\u001b[1;36m4\u001b[0m, \u001b[1;36m4\u001b[0m\u001b[1m)\u001b[0m\n",
       "        LIFTorch \u001b[32m'1_LIFTorch'\u001b[0m with shape \u001b[1m(\u001b[0m\u001b[1;36m4\u001b[0m, \u001b[1;36m4\u001b[0m\u001b[1m)\u001b[0m\n",
       "    \u001b[1m}\u001b[0m\n",
       "    LinearTorch \u001b[32m'3_LinearTorch'\u001b[0m with shape \u001b[1m(\u001b[0m\u001b[1;36m4\u001b[0m, \u001b[1;36m2\u001b[0m\u001b[1m)\u001b[0m\n",
       "    LIFTorch \u001b[32m'4_LIFTorch'\u001b[0m with shape \u001b[1m(\u001b[0m\u001b[1;36m2\u001b[0m, \u001b[1;36m2\u001b[0m\u001b[1m)\u001b[0m\n",
       "\u001b[1m}\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# - Define the network architecture using combinators and modules\n",
    "net = Sequential(\n",
    "    LinearTorch((Nin, Nhidden), has_bias = False),\n",
    "    LIFTorch(Nhidden, dt = dt),\n",
    "    \n",
    "    Residual(\n",
    "        LinearTorch((Nhidden, Nhidden), has_bias = False),\n",
    "        LIFTorch(Nhidden, has_rec = True, threshold = 1., dt = dt),\n",
    "    ),\n",
    "    \n",
    "    LinearTorch((Nhidden, Nout), has_bias = False),\n",
    "    LIFTorch(Nout, dt = dt),\n",
    ")\n",
    "print(net)\n",
    "\n",
    "# - Scale down recurrent weights for stability\n",
    "# net[2][1].w_rec.data = net[2][1].w_rec / 10."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "7161b6ab",
   "metadata": {},
   "outputs": [],
   "source": [
    "# - Call the Xylo mapper on the extracted computational graph\n",
    "# - For XyloAudio 2\n",
    "if xylo_board_name == 'XyloAudio2':\n",
    "    spec = xa2.mapper(net.as_graph(),  weight_dtype='float', threshold_dtype='float', dash_dtype='float')\n",
    "# - For XyloAudio 3\n",
    "elif xylo_board_name == 'XyloAudio3':\n",
    "    spec = xa3.mapper(net.as_graph(),  weight_dtype='float', threshold_dtype='float', dash_dtype='float')\n",
    "\n",
    "# - Quantize the specification\n",
    "spec.update(q.global_quantize(**spec))\n",
    "\n",
    "# # you can also try channel-wise quantization\n",
    "# spec.update(q.channel_quantize(**spec))\n",
    "# print(spec)\n",
    "\n",
    "# - Use rockpool.devices.xylo.config_from_specification to convert it to a hardware configuration\n",
    "# - For XyloAudio 2\n",
    "if xylo_board_name == 'XyloAudio2':\n",
    "    config, is_valid, msg = xa2.config_from_specification(**spec)\n",
    "# - For XyloAudio 3\n",
    "elif xylo_board_name == 'XyloAudio3':\n",
    "    config, is_valid, msg = xa3.config_from_specification(**spec)\n",
    "\n",
    "if not is_valid:\n",
    "    print(msg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "19c43f9d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The connected Xylo HDK contains a XyloAudio 3. Importing `rockpool.devices.xylo.syns65302`\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[</span><span style=\"color: #008000; text-decoration-color: #008000\">'syns65302'</span><span style=\"font-weight: bold\">]</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m[\u001b[0m\u001b[32m'syns65302'\u001b[0m\u001b[1m]\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# - Use rockpool.devices.xylo.find_xylo_hdks to connect to an HDK\n",
    "from rockpool.devices.xylo import find_xylo_hdks\n",
    "xylo_hdk_nodes, modules, versions = find_xylo_hdks()\n",
    "print(versions)\n",
    "\n",
    "hdk = None\n",
    "\n",
    "for version, xylo in zip(versions, xylo_hdk_nodes):\n",
    "    if version == \"syns61201\":\n",
    "        hdk = xylo\n",
    "    # - For XyloAudio 3\n",
    "    elif version == \"syns65302\":\n",
    "        hdk = xylo\n",
    "\n",
    "if hdk is None:\n",
    "    assert False, 'This tutorial requires a connected XyloAudio HDK to demonstrate.'\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "21420dd0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">XyloSamna  with shape <span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">8</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span><span style=\"font-weight: bold\">)</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "XyloSamna  with shape \u001b[1m(\u001b[0m\u001b[1;36m2\u001b[0m, \u001b[1;36m8\u001b[0m, \u001b[1;36m2\u001b[0m\u001b[1m)\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# - Use XyloSamna to deploy to the HDK\n",
    "if hdk:\n",
    "    # - For XyloAudio 2\n",
    "    if xylo_board_name == 'XyloAudio2':\n",
    "        modSamna = xa2.XyloSamna(hdk, config, dt = dt) \n",
    "    # - For XyloAudio 3\n",
    "    elif xylo_board_name == 'XyloAudio3':\n",
    "        modSamna = xa3.XyloSamna(hdk, config, dt = dt) \n",
    "\n",
    "print(modSamna)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "d6ff703c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 3600x1200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# - Generate some Poisson input\n",
    "T = 100\n",
    "f = 0.4\n",
    "input_spikes = np.random.rand(T, Nin) < f\n",
    "TSEvent.from_raster(input_spikes, dt, name = 'Poisson input events').plot();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "c6b055b5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">dict_keys</span><span style=\"font-weight: bold\">([</span><span style=\"color: #008000; text-decoration-color: #008000\">'Vmem'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'Isyn'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'Isyn2'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'Spikes'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'Vmem_out'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'Isyn_out'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'times'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'inf_duration'</span><span style=\"font-weight: bold\">])</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1;35mdict_keys\u001b[0m\u001b[1m(\u001b[0m\u001b[1m[\u001b[0m\u001b[32m'Vmem'\u001b[0m, \u001b[32m'Isyn'\u001b[0m, \u001b[32m'Isyn2'\u001b[0m, \u001b[32m'Spikes'\u001b[0m, \u001b[32m'Vmem_out'\u001b[0m, \u001b[32m'Isyn_out'\u001b[0m, \u001b[32m'times'\u001b[0m, \u001b[32m'inf_duration'\u001b[0m\u001b[1m]\u001b[0m\u001b[1m)\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# - Evolve the network on the Xylo HDK\n",
    "# - `reset_state` is only needed for XyloAudio 2\n",
    "if xylo_board_name == 'XyloAudio2':\n",
    "    modSamna.reset_state()\n",
    "    \n",
    "out, _, r_d = modSamna(input_spikes, record = True)\n",
    "\n",
    "# - Show the internal state variables recorded \n",
    "del modSamna\n",
    "print(r_d.keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "1d628913",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAC5QAAAReCAYAAAASIZ5RAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/OQEPoAAAACXBIWXMAAC4jAAAuIwF4pT92AACutUlEQVR4nOzdd3iW5dk/8DODHYaMCG5AEbGAglSryHBUoGgFxYk2KmpFpVXU+qqvo3W+VVyttSot4Ki2AipurYIg4qAKFlQERCuyZRtGIL8/PMyvjwHJfiD353McOY5cZ+7rOs8kd4LK97nNKCwsLAwAAAAAAAAAAAAAABInM90DAAAAAAAAAAAAAACQHgLlAAAAAAAAAAAAAAAJJVAOAAAAAAAAAAAAAJBQAuUAAAAAAAAAAAAAAAklUA4AAAAAAAAAAAAAkFAC5QAAAAAAAAAAAAAACSVQDgAAAAAAAAAAAACQUALlAAAAAAAAAAAAAAAJJVAOAAAAAAAAAAAAAJBQAuUAAAAAAAAAAAAAAAklUA4AAAAAAAAAAAAAkFAC5QAAAAAAAAAAAAAACSVQDgAAAAAAAAAAAACQUALlAAAAAAAAAAAAAAAJJVAOAAAAAAAAAAAAAJBQAuUAAAAAAAAAAAAAAAklUA4AAAAAAAAAAAAAkFAC5QAAAAAAAAAAAAAACSVQDgAAAAAAAAAAAACQUALlAAAAAAAAAAAAAAAJJVAOAAAAAAAAAAAAAJBQAuUAAAAAAAAAAAAAAAklUA4AAAAAAAAAAAAAkFAC5QAAAAAAAAAAAAAACSVQDgAAAAAAAAAAAACQUALlAAAAAAAAAAAAAAAJJVAOAAAAAAAAAAAAAJBQAuUAAAAAAAAAAAAAAAklUA4AAAAAAAAAAAAAkFAC5QAAAAAA1VCPHj0iIyOj6K1Hjx6J6v/fvTMyMuL666+v0v5UP/PmzSt2X40YMWKb+0aMGFFs37x58yp9XgAAAACAkhIoBwAAAAAAAAAAAABIKIFyAAAAAIBy2NJTiyvqadzjx48vdnZeXl6FnA0AAAAAABAhUA4AAAAAAAAAAAAAkFgC5QAAAAAAAAAAAAAACSVQDgAAAAAAAAAAAACQUNnpHgAAAAAAgIo3fvz4dI8A1cpee+0VhYWF6R4DAAAAAKDCeUI5AAAAAAAAAAAAAEBCCZQDAAAAAAAAAAAAACSUQDkAAAAAAAAAAAAAQEJlp3sAAAAAAAC2f8uWLYspU6bE/PnzY8mSJVGnTp3YY489onPnztGyZctK7z9nzpyYNm1azJ8/P1atWhUNGjSI1q1bx8EHHxxNmjSp9P4REStWrIh33303Fi1aFEuWLIn169dH06ZNIzc3N7p06RItWrSo9BmWLFkSU6ZMiblz58aaNWuiYcOGkZubGwcffHDsueeeld6/pFavXh0ffvhhzJo1K1asWBFr1qyJGjVqRN26daNp06ax5557xj777BPNmjWr8N4FBQXx3nvvxYwZM2Lp0qWRmZkZLVq0iJYtW8YhhxwSWVlZFd5zR7Fhw4Z49913Y/78+bF48eJYtWpV7LTTTtGsWbNo165dtGvXrkL7LVq0KKZNmxaff/55rFq1KvLz86N27dpRt27daN68eey1117Rpk2byMnJqdC+AAAAAEDpCJQDAAAAAFRDPXr0iAkTJhStu3fvHuPHjy/1ORMmTIhbb701Xn311SgoKNjiNe3bt4+hQ4fGmWeeGRkZGWUduZjCwsL4y1/+Evfdd1/861//2uI1WVlZcdRRR8XVV18dhx9+eIX1/k5+fn786U9/iieffDLeeeed2LRp01av3X///eOMM86Iiy66KOrVq1eqPtv6fo0fPz5uvvnm+Oc//xmbN2/e4hnt2rWLq666Kk477bQK/T6U1KZNm+KRRx6JkSNHxoQJE7Y6539r2bJldO3aNfr37x+9evWK2rVrb/XaefPmFXvxwl//+tfIy8uLiG/Dy7feemuMGDEiVqxYscUzcnNz46STToprr7221GH2bfWvTDNnzow+ffrE559/nlI/6aSTYtSoUVGrVq2t7i0sLIzRo0fHiBEjYvz48bF27dqtXrvLLrtEv3794sorr4zddtutTLOuWLEi7rvvvnj00Udj5syZ27w+KysrfvSjH0XPnj3jxBNPjEMPPTQt9y8AAAAAJFlmugcAAAAAAGD7k5+fH4MGDYqePXvGiy++uNUweUTEhx9+GHl5edGzZ89YunRphfT/7LPPolu3bjFo0KCthskjvg0xv/TSS9GtW7cYMmTIDwa+S+uhhx6K1q1bx9ChQ+Ott97a5tkzZsyIK6+8Mlq3bh1PPvlkhcywfv36OPfcc6Nnz57xyiuv/GBIe+bMmTFw4MDo1avXD4aGK8P06dOjU6dOkZeXF6+//nqJwuQR336fH3744ejXr1+MGDGizP2ff/75aNeuXdx1111bDZNHRCxevDj+8Ic/xH777RePP/54mftVpddeey0OO+ywYmHyK664Ih5//PEfDJNPnDgxDjrooBgwYEA899xz27wvvvrqq/jjH/8Ye++9d1x77bUl/j5+5x//+Ee0adMmrr766hKFySO+/RmeNm1a3HXXXdG1a9f45JNPStUTAAAAACg/gXIAAAAAAFLk5+fHscceG8OHD4/CwsIS75swYUJ069Ytli9fXq7+c+fOjW7dusWkSZNKte/ee++NM844o1Qzb8nGjRtj0KBBce6558aCBQtKvX/RokVx0kknxe9+97tyzbFu3bro3bt3PPTQQ6Xa9/LLL0efPn0qNFz/Q6ZOnRrdu3eP6dOnV0m/7xs3blz8/Oc/j6+//rrEe5YtWxannXZaPPjgg5U4WfmNGjUqevXqlRKSz8rKij/96U9x2223/eCTvB944IE44ogjfvAFGVuzfv36+N3vfhf9+vUr8YsTHnrooTj55JNjyZIlpe4HAAAAAKRXdroHAAAAAABg+3LKKafEP//5z2L1Jk2aRL9+/aJjx46Rm5sby5YtixkzZsSYMWOKgtcfffRRnHnmmWXuvXz58ujZs2d8+eWXxT629957R//+/WPvvfeOBg0axMKFC2Py5MkpT17+29/+Fp07dy5z/82bN8fxxx8fzz//fLGP7bLLLnHkkUfGgQceGE2bNo3atWvH119/He+//3688MIL8cUXXxRdW1hYGNdee200bdo0LrjggjLNcvbZZ8frr79etN53332jd+/e0bZt22jcuHGsXLky3n///Rg9enQsWrQoZe8bb7wRd955Z1x22WVl6l1S69evj4EDBxZ7KnhGRkb85Cc/ia5du0br1q2jQYMGkZWVFatWrYply5bFzJkzY9q0aTFt2rRyvQDgs88+i4svvrjoCfoZGRlx6KGHRp8+fWL33XePiIj//Oc/8cILL8Sbb76Z0quwsDDOP//8aNy4cZxwwgllnqGyXH/99XHDDTek1HJycuKJJ56IPn36/ODeW2+9Nf7nf/6nWL1evXpx9NFHR5cuXaJFixZRv379WLlyZXz66afxyiuvFAufP/PMM3HOOeds82nun3zySVx00UXFvpd16tSJI444Irp06RJ77rln5OTkREFBQaxatSoWLFgQM2bMiHfffTfmzZv3g+cDAAAAAJVLoBwAAAAAgCIjRoyIZ555JqWWkZERQ4cOjd/+9rdRp06dYnvuuuuuuPXWW+O3v/1tbNy4MZ599tktXlcSl1xySUowOyKiYcOGMWzYsDj77LOLXf+rX/0qli5dGkOGDIm//e1vERHxv//7v2XqHRFxww03FAuT77bbbjFs2LDo379/ZGVlbXFfQUFBjBgxIi655JJYs2ZNUf3Xv/51HHzwwdGpU6dSzfH222/HunXrIiKiefPm8Yc//GGroefbbrstLrzwwhg1alRK/aabbooLL7ywzN+LkvjHP/4RH3/8cUqtU6dOMWrUqNh///23uX/hwoXxzDPPxP3331+m/v/3f/9X9HVq27ZtjBgxIg4++OBi11111VXxzjvvRF5eXnz00UdF9cLCwrjggguie/fu0bRp0zLNUNG+e0L+97+fLVq0iOeeey4OPPDAH9z/z3/+M66++uqUWp06deLaa6+NwYMHR4MGDba479Zbb43x48fHoEGDYs6cOUX1J554Ig4//PC48MILt9rz97//faxfvz6lNnDgwBg2bFg0a9bsB+eNiJg5c2Y8+eST8cADD2zzWgAAAACg4mWmewAAAAAAALYPK1eujEsvvbRY/Z577onf//73Ww0mZ2dnxzXXXBOPPfZYUeA6Pz+/1P3feOONGDlyZEotJycnXnzxxS2Gyb/TtGnTeOyxx2LIkCFl7h0R8dZbb8WNN96YUvvJT34S//73v2PAgAFbDZNHfPs1GDRoUEyaNCklsLthw4a45pprSj3LdyHpVq1axZQpU37wCdo5OTkxYsSIOOaYY1LqK1asiNGjR5e6d2k8/fTTKeumTZvGyy+/XKIwecS3Yfnzzjsv/vWvf5XpyfbffZ3233//mDRp0hbD5N/58Y9/HBMnTiw225IlS+I3v/lNqXtXhpUrV0avXr2Khcl/9KMfxZQpU7YZJl+9enWcfvrpsXnz5qJabm5uvP3223HllVduNUz+nR49esTUqVOjQ4cOKfXrr78+vvnmm63u+/59cMQRR8SoUaNKFCaPiGjXrl1ce+21MW/evGjVqlWJ9gAAAAAAFccTygEAAAAAKth7770XBxxwQLnP+e8nXVeFUaNGxfLly1NqZ5xxRlx00UUl2n/iiSfGFVdcEbfcckuZ+t99991brB1yyCEl2n/XXXfFe++9F5MnTy5T/xtvvDEliLvLLrvE888/Hw0bNizxGR07doz77rsvBg4cWFR74YUXYtq0adGxY8dSzVOjRo34+9//Hnvuuec2r83IyIhhw4YVC0u/9NJLKbNUtLlz56as+/XrF02aNCnTWXXr1i3Tvpo1a8aYMWNK1LdJkyYxZsyYaN++fWzYsKGo/uijj8Ztt92W1qeUf/7559GnT5+YOXNmSv3II4+M0aNHl+g+vP/++2PRokVF68zMzHj66aejffv2JZ6jYcOGMXbs2Nhvv/2KvkZLly6Nhx56qOhFG/9t9erVsXTp0pTaOeecExkZGSXu+Z3sbH9tBQAAAADp4AnlAAAAAAAVbO3atTFt2rRyv82ZM6dK577//vtT1rVr147f//73pTrjmmuuiebNm5e694IFC+KZZ55JqXXq1CnOOuusEp+RkZER9957b6l7R0T8+9//jueffz6ldvPNN0ejRo1KfdZpp50W++yzT0rtqaeeKtM5nTt3LvH17dq1i06dOqXUpk6dWuq+pbF69eqUdVnD5OVx8cUXR5s2bUp8fZs2beLiiy9Oqa1fvz5GjBhRwZOV3NSpU+OQQw4pFib/xS9+ES+88EKJwuQbNmyIu+66K6V25plnlvgFGf+tVatWccYZZ6TUxo4du8Vrv38PRKTnPgAAAAAAyk6gHAAAAACA+OKLL4qFWY877rjYeeedS3VO3bp1y/RE7FdeeSUKCgpSaoMGDSr1U447deoUBx10UKn7P/nkkynr+vXrx8knn1zqcyK+Dbb37t07pTZ+/PhSn3PuueeWes+Pf/zjlPWsWbNKfUZpfD84PGnSpErttyVl+Tqdd955xWovvPBCRYxTauPGjYvu3bvHwoULU+rXXXddjBgxImrUqFGicyZPnhxfffVVSm3QoEFlnutnP/tZynrKlCmxfv36Ytc1bty42M9pOu4DAAAAAKDsBMoBAAAAAIgpU6YUq/Xv379MZ5VlX7r7T5gwIWXdqVOnqF27dpn6R0S0bNkyZf3++++Xan+dOnWKhcNLonXr1inrTZs2xZo1a0p9TkkdfPDBKetJkybF1VdfXezFAZWlbdu2se+++5Z6X5s2bWL//fdPqb377ruxefPmihqtRP7whz9Ev379Yu3atUW1GjVqxIgRI+L6668v1Vnfv4dr1KgRXbp0KfNs37+H161bFx999FGx62rXrh0dOnRIqd1+++0xZsyYMvcGAAAAAKpWdroHAAAAAACobrp3716mJ1J/3/jx46Nnz57lH6gEpk6dWqzWuXPnMp11wAEHRFZWVmzatKnM/XfddddSPx39O6Wde9OmTcUC7dOnT48DDjigTP0jIr7++uuU9cqVK2Pjxo0lftr0nnvuWeJr/1vDhg2L1VauXBk5OTmlPqsk8vLy4p577onCwsKi2s033xyPPfZYnHXWWdGvX79o3759pfSOKPs9GvHtiwZmzJhRtF69enXMmjUr2rZtWxGj/aDNmzfHpZdeGnfeeWdKvWHDhjF69Og48sgjS33mm2++WaxWlhclfGfDhg3FakuXLt3itWeddVb8+te/LlqvW7cuTjjhhDjkkEPiF7/4RfTt2zd22223Ms8CAAAAAFQugXIAAAAAAGLx4sUp6+zs7GJPuy6pOnXqxB577BGfffZZmfuX5anT3yltIHjZsmWxbt26lNry5ctj+fLlZZ5hS77++usSh+QbN25cph5bCqFv3LixTGeVxAEHHBBDhgyJu+++O6U+b968uO666+K6666L3Nzc6Nq1a3Tp0iUOPfTQOPjgg6NWrVoV0r+i75PFixdXSaD8F7/4RUyaNCmltvvuu8fzzz8fP/rRj8p05pdffpmy3rhxY0ybNq3MM27JsmXLtlj/5S9/GY899li88847KfUpU6bElClT4oILLoi99947unbtGgcddFB07do1OnToEBkZGRU6HwAAAABQNgLlAAAAAADEihUrUtb169cvV9hzS0/KLk3/0u4vz96thWQrWn5+fomvLcvTydPljjvuiKysrBg2bNgWP7548eIYM2ZMjBkzJiIiateuHd26dYtTTjklTjzxxKhfv36Ze1f0ffL9+7CyfD9MnpOTE5MnTy7XU7yr4j7e2j1cq1ateO655+LUU0+NV199dYvXzJ49O2bPnh0jRoyIiG9fNNGnT5849dRTo1evXpGZmVlZYwMAAAAA2+C/zgEAAAAAEKtXr05Z16tXr1znlXZ/RfYv7d6KfhJ50mRlZcUdd9wR77zzThx77LGRnf3Dz7JZt25dvPzyy3H22WfHXnvtFbfccksUFBSUqXdF3yffvw8ry/e/RmvWrImhQ4eW62ny6b6PmzZtGi+//HI88cQT0blz521e//XXX8cjjzwSP/vZz6Jdu3YxevToKpgSAAAAANgSgXIAAAAAAIo9JXrt2rXlOq+0+yuyf2n31qlTp1jt5JNPjsLCwgp922uvvcr8Oe0IunTpEs8880zMnz8/hg8fHgMHDoyWLVv+4J6vv/46rrrqqujatWuZng5e0fdJeZ6WXhoPP/xw7LTTTim1v//979G/f/9Yt25dmc78/n288847V/g9nJeX94MzZGRkxEknnRTvvfdezJw5M26//fY49thjo0mTJj+475NPPokTTzwxLrjggigsLCzT5w8AAAAAlJ1AOQAAAAAA0ahRo5T16tWryxXsXLlyZbn6l3Z/efY2bdq0WO3rr78uc/+ky83NjbPPPjsefvjhmDt3bixcuDCefPLJGDJkSOyzzz5b3PP222/HSSedVOpeFX2ffP8+rCyHHHJIvP7669GsWbOU+rPPPhs/+9nPyhSU//59nO4nlu+3334xdOjQeOaZZ2Lp0qUxa9asGD58eJxxxhlb/JmLiLj//vvj5ptvruJJAQAAAACBcgAAAAAAIjc3N2VdUFAQc+bMKdNZ+fn58cUXX5Sr/yeffFKm3hERH3/8camub9asWWRkZKTUPv/88zL3J9XOO+8cJ5xwQtx9990xa9asmDp1apxyyinFrnvllVfihRdeKNXZs2bNKvNcW7rHvn8fVqaOHTvGG2+8EbvuumtK/bXXXoujjz661GH5nXfeOWW9YcOGWLBgQbnnrCj77LNPnH322TFq1KhYuHBhjBs3Lrp06VLsuptvvjmWLl2ahgkBAAAAILkEygEAAAAAiM6dOxerTZ06tUxnffDBB7Fp06Zy9Z8/f34sWrSoTP1LO3ft2rWjY8eOKbVZs2aVuT8/rFOnTvG3v/0tbrrppmIfGz16dKnOKus9uqW99evXjzZt2pT5vLJo27ZtTJo0KVq1apVSf+utt6Jnz56lClYffPDBxWpvvPFGuWesDFlZWdG3b9+YPHly9O7dO+Vj33zzTbz44otpmgwAAAAAkkmgHAAAAACAOOSQQ4rVxo4dW6azxowZs8P1P/rooyvkHEruN7/5TTRp0iSlNn369FKd8dFHH5XpKeWzZs2KGTNmpNS6dOkSmZlV/9cme+21V0ycODH222+/lPr7778f3bp1i6+++qpE5+yI93B2dnbccsstxeqlvQ8AAAAAgPIRKAcAAAAAIPbYY49o165dSu3pp5+OxYsXl+qc/Pz8eOSRR0rd/+ijj47s7OyU2kMPPRSFhYWlOueDDz6I9957r9T9f/7znxer3X777VFQUFDqsyiZrKys2GeffVJqK1euLPU5Dz74YIXs+f6TsqvSLrvsEm+88UYceOCBKfWPPvoounXrFvPmzdvmGd27d4+GDRum1EaPHh2ffvppRY5a4dq2bVusVpb7AAAAAAAoO4FyAAAAAAAiIuKXv/xlynrdunVxxRVXlOqMm266KRYuXFjq3i1atIjjjjsupTZ16tQYOXJkic8oLCyMiy++uNS9IyIOO+yw6NGjR0pt7ty5MXTo0DKdR8ksWLAgZd2sWbNSn3HvvffG7NmzS3z97Nmz4957702p1apVK/Ly8krduyI1bdo0Xn/99Tj00ENT6nPmzInDDz98m09ir1evXlxyySUptU2bNsXAgQNj/fr1FT5vRfn+PRBRtvsAAAAAACg7gXIAAAAAACIi4swzz4xGjRql1EaOHBn3339/ifaPHTs2brvttjL3HzJkyBZr7777bon2X3bZZTFp0qQy97/xxhsjIyMjpXbPPffEddddV+onpX/n3//+d5x55pmxfPnyMs+1vVqzZk1cfvnl8cUXX5Rp/9NPPx2ff/55Sq1jx46lPmf9+vXRv3//En2Nly9fHv379y8WsD7ttNOiadOmpe5d0Ro2bBgvv/xyHHnkkSn1L7/8Mg4//PCYPn36D+6/5JJLin0e77zzTpx44ollfur34sWL45prrolXXnllix+fPHly3H333bF69eoynX/33XcXq5XlPgAAAAAAyk6gHAAAAACAiPg2zHrnnXcWqw8ePDiuvPLKWLdu3Rb3FRQUxC233BKnnHJKFBQUREREnTp1St2/e/fu8Ytf/CKltnr16vjpT3/6g08qX7ZsWQwcODCGDRtW5t4R3z6l/LrrritW/+1vfxtHHHFETJw4sUTnLFu2LB566KE4+uijo0OHDvHwww/Hpk2byjTT9qygoCBuv/32aNWqVfTr1y8effTREoWWN2/eHCNGjIiBAwcW+9iWaj+kdu3aERHx4YcfRteuXeOdd97Z6rXvvvtuHH744fHhhx+m1Js1a1auF0JUtHr16sVzzz0Xxx57bEp98eLF0aNHjx/8HBs0aBCPP/54ZGdnp9SfffbZ6Ny5czz66KNFP6M/ZN26dfH000/HwIEDY88994ybbrppq9/bxYsXx69//evYbbfd4pe//GW8/PLLsXHjxm32WLNmTfzmN7+Ju+66K6XesGHD6Nu37zb3AwAAAAAVJ3vblwAAAAAAkBR5eXkxduzYeOaZZ4pqhYWFcdttt8Xw4cOjf//+0bFjx2jatGksX748ZsyYEaNHj46vvvqq6Pq+ffvG6tWrY8KECaXuf+edd8brr7+e8tTrFStWRF5eXtx0003Rv3//2GeffSInJycWLVoUb731Vjz77LOxZs2aout/97vfxWWXXVamz//aa6+Njz/+OB5//PGU+vjx46Nbt27Rpk2b6NGjR+y///7RuHHjqFWrVqxYsSKWL18eM2fOjKlTp8ZHH31ULQPkW7Np06Z46qmn4qmnnooaNWpEhw4d4sADD4y2bdvGTjvtFA0bNoyNGzfG4sWLY8aMGfHiiy9u8anmp59+evzkJz8pVe8rrrgihg0bFmvWrImZM2fGIYccEl27do3evXvH7rvvHhER//nPf+LFF1+MiRMnFnvSfEZGRvzpT3+KZs2alf0LUAlq1aoVY8aMiTPOOCPlXly+fHkcddRR8eyzz0a3bt22uPfII4+Me+65JwYPHpxSnzNnTgwcODCGDh0aPXr0iM6dO0ezZs0iJycnVq9eHStWrIi5c+fG1KlT44MPPoj8/PxSzbxq1ar485//HH/+85+jfv360alTpzjwwAOjZcuW0ahRo6hXr16sW7cuvvzyy/jXv/4VL7300hZD6rfffnuZXxQCAAAAAJSNQDkAAAAAACkef/zx6Nu3b7z22msp9aVLl8YDDzzwg3vbtm0bo0aNin79+pWp90477RSvvfZa9OjRI7788suUj3366afbfJL0KaecEpdeemmZA+UZGRnx6KOPRuvWrePmm28uFkCeNWtWzJo1q0xnJ8HGjRtj6tSpMXXq1FLt69GjR9x3332l7teyZct49NFHo3///rFp06YoLCyMiRMnluhp8hkZGXH//ffHCSecUOq+VSE7OzseffTRqFevXgwfPryovnr16ujVq1eMHTs2jjnmmC3uveCCCyI3NzfOOuusWL16dcrHFi1aFE888UQ88cQTlTb7dy8oKe2LSi655JIYNGhQJU0FAAAAAGxNZroHAAAAAABg+1KnTp0YN25cnH322aXa17Vr13jjjTdip512Klf/1q1bx4QJE+Kwww4r1b7BgwfHI488EhkZGeXqn5mZGTfeeGM8//zz0bFjx3Kd1bBhwxg0aFDk5OSU65ztUXZ2djRp0qRcZ9SoUSMuvfTSePHFF6NBgwZlOuO4446Lp556Kho1alTiPY0bN45HH300zjvvvDL1rCqZmZnx4IMPxq9+9auUen5+fhx33HExduzYre494YQT4r333ou+ffuWa4bs7Ozo27dvdOjQYYsfb9iwYdSuXbtcPZo1axbDhw+PYcOGlescAAAAAKBsBMoBAAAAACimbt26MXz48Bg/fnwcc8wxkZ299f/hZbt27eKhhx6KCRMmRLNmzSqkf6tWrWLixInx4IMPxoEHHrjV6zIzM+PII4+M1157Lf74xz9GVlZWhfSPiOjVq1d88MEHMW7cuOjfv380bty4RPtatWoV5557bjz55JOxYMGCePDBB8sduN0e5eTkxKJFi2LixIlx1VVXRbdu3aJu3bol2rvnnnvGFVdcER999FHccccdUatWrXLN0rdv35g5c2ZceOGFPxhMb9asWVx00UXx8ccfx6mnnlqunlUlIyMj7rrrrrjmmmtS6hs2bIgBAwbEI488stW9bdq0iXHjxsW0adPi3HPPjZYtW5aoZ5MmTeLEE0+MP//5zzF//vwYN25ctGnTZovX9uzZM5YtWxZPPfVUDB48OA444IAS/xx27tw5br/99vj0009L/QIWAAAAAKDiZBR+///XCQAAAAAA37Ns2bKYPHlyfPXVV7F06dKoXbt27L777tG5c+do3bp1pfefPXt2fPDBB/HVV1/F6tWro379+tGqVas45JBDomnTppXePyKisLAwPvzww5gzZ04sW7Ysli1bFps3b4769etHo0aNonXr1rHffvuV6knZ1U1BQUHMmTMn5syZE19++WWsWrUq8vPzo27dulG/fv3YY489on379rHrrruW+ux58+YVC0T/9a9/jby8vJTaxo0b4913340ZM2bEsmXLIjMzM1q0aBEtW7aMn/zkJxX6ooMd0RdffBHTp0+PpUuXxrJly2LdunWRk5MTDRo0iD322CPatm1bpu/Pf1u7dm18+umnMXfu3Fi4cGGsXr06Nm7cGDk5OdGwYcPYe++9o0OHDtGwYcMK+qwAAAAAgPIQKAcAAAAAALZ7JQ2UAwAAAABQOpnpHgAAAAAAAAAAAAAAgPQQKAcAAAAAAAAAAAAASCiBcgAAAAAAAAAAAACAhBIoBwAAAAAAAAAAAABIKIFyAAAAAAAAAAAAAICEEigHAAAAAAAAAAAAAEgogXIAAAAAAAAAAAAAgIQSKAcAAAAAAAAAAAAASKiMwsLCwnQPAQAAAAAAAAAAAABA1fOEcgAAAAAAAAAAAACAhBIoBwAAAAAAAAAAAABIKIFyAAAAAAAAAAAAAICEEigHAAAAAAAAAAAAAEgogXIAAAAAAAAAAAAAgIQSKAcAAAAAAAAAAAAASCiBcgAAAAAAAAAAAACAhBIoBwAAAAAAAAAAAABIKIFyAAAAAAAAAAAAAICEEigHAAAAAAAAAAAAAEgogXIAAAAAAAAAAAAAgIQSKAcAAAAAAAAAAAAASKjsdA/AjmnFihUxYcKEovXuu+8etWrVSuNEAAAAAAAAAAAAALDjWb9+ffznP/8pWnfv3j0aNWpUZf0FyimTCRMmxPHHH5/uMQAAAAAAAAAAAACgWnnqqafi5z//eZX1y6yyTgAAAAAAAAAAAAAAbFcEygEAAAAAAAAAAAAAEio73QOwY9p9991T1h3iJ1E3ciq9b2adOpXe479l1K1bpf3y27Wo0n4r9q5RZb2e+sXfqqwXAAAAAAAAAAAAwI5i9mcbo/9ZC4vW38/pVjaBcsqkVq1aKeu6kRM5GQ0rvW9mVr1K7/HfMmpUbb/M+s2rtN+6plUXKN9/31rbvggAAAAAAAAAAAAg4b6f061smVXaDQAAAAAAAAAAAACA7YZAOQAAAAAAAAAAAABAQgmUAwAAAAAAAAAAAAAklEA5AAAAAAAAAAAAAEBCCZQDAAAAAAAAAAAAACSUQDkAAAAAAAAAAAAAQEIJlAMAAAAAAAAAAAAAJJRAOQAAAAAAAAAAAABAQgmUAwAAAAAAAAAAAAAklEA5AAAAAAAAAAAAAEBCCZQDAAAAAAAAAAAAACSUQDkAAAAAAAAAAAAAQEIJlAMAAAAAAAAAAAAAJJRAOQAAAAAAAAAAAABAQgmUAwAAAAAAAAAAAAAklEA5AAAAAAAAAAAAAEBCCZQDAAAAAAAAAAAAACSUQDkAAAAAAAAAAAAAQEIJlAMAAAAAAAAAAAAAJJRAOQAAAAAAAAAAAABAQgmUAwAAAAAAAAAAAAAklEA5AAAAAAAAAAAAAEBCCZQDAAAAAAAAAAAAACSUQDkAAAAAAAAAAAAAQEIJlAMAAAAAAAAAAAAAJJRAOQAAAAAAAAAAAABAQgmUAwAAAAAAAAAAAAAklEA5AAAAAAAAAAAAAEBCCZQDAAAAAAAAAAAAACSUQDkAAAAAAAAAAAAAQEIJlAMAAAAAAAAAAAAAJJRAOQAAAAAAAAAAAABAQgmUAwAAAAAAAAAAAAAklEA5AAAAAAAAAAAAAEBCCZQDAAAAAAAAAAAAACSUQDkAAAAAAAAAAAAAQEIJlAMAAAAAAAAAAAAAJJRAOQAAAAAAAAAAAABAQgmUAwAAAAAAAAAAAAAklEB5FcvLy4uMjIwKedtrr73S/ekAAAAAAAAAAAAAADswgfIdWM2aNdM9AgAAAAAAAAAAAACwAxMo34H17ds33SMAAAAAAAAAAAAAADuw7HQPkDRXXHFFDBw4sNT7Pv300xg8eHBKLS8vr4KmAgAAAAAAAAAAAACSSKC8irVr1y7atWtX6n2vvfZayvrAAw+MDh06VNRYAAAAAAAAAAAAAEACZaZ7ALZt8+bN8fDDD6fUPJ0cAAAAAAAAAAAAACgvgfIdwKuvvhpffvll0bpGjRpx2mmnpXEiAAAAAAAAAAAAAKA6ECjfAYwcOTJl3bdv32jatGmapgEAAAAAAAAAAAAAqguB8u3cqlWrYuzYsSm1vLy89AwDAAAAAAAAAAAAAFQrAuXbub///e+Rn59ftM7NzY0+ffqkcSIAAAAAAAAAAAAAoLoQKN/OjRgxImV9+umnR3Z2dnqGAQAAAAAAAAAAAACqFYHy7djs2bPjzTffTKmdddZZaZoGAAAAAAAAAAAAAKhuBMq3YyNHjkxZd+rUKdq3b5+maQAAAAAAAAAAAACA6iY73QOwZYWFhTFq1KiUWl5eXqX0Wrx4cSxZsqRUe2bPnl0pswAAAAAAAAAAAAAAVUegfDv12muvxRdffFG0rlmzZpx22mmV0uu+++6LG264oVLOBgAAAAAAAAAAAAC2X5npHoAtGzlyZMq6b9++0aRJkzRNAwAAAAAAAAAAAABURwLl26E1a9bEmDFjUmp5eXnpGQYAAAAAAAAAAAAAqLay0z0Axf3jH/+ItWvXFq133nnn6N27d6X1Gzx4cAwYMKBUe2bPnh3HH3985QwEAAAAAAAAAAAAAFQJgfLt0IgRI1LWp59+emRnV963Kjc3N3JzcyvtfAAAAAAAAAAAAABg+5SZ7gFINXfu3Jg4cWJKLS8vLz3DAAAAAAAAAAAAAADVmkD5dmbUqFFRWFhYtO7UqVO0b98+jRMBAAAAAAAAAAAAANWVQPl2pLCwMEaNGpVSO+uss9I0DQAAAAAAAAAAAABQ3QmUb0cmTJgQn332WdG6Zs2acdppp6VxIgAAAAAAAAAAAACgOhMo346MHDkyZX3sscdG48aN0zQNAAAAAAAAAAAAAFDdCZRvJ9auXRtPPvlkSi0vLy89wwAAAAAAAAAAAAAAiSBQvp0YPXp0rFmzpmjdvHnz6NWrVxonAgAAAAAAAAAAAACqO4Hy7cSIESNS1qeffnpkZ2enZxgAAAAAAAAAAAAAIBEEyrcDn3/+eYwfPz6llpeXl5ZZAAAAAAAAAAAAAIDkECjfDowaNSoKCwuL1p07d44f/ehHaZwIAAAAAAAAAAAAAEgCgfLtwMiRI1PWnk4OAAAAAAAAAAAAAFQFgfI0mzRpUsyZM6doXbNmzTjttNPSOBEAAAAAAAAAAAAAkBTZ6R4g6bp27RqFhYXpHgMAAAAAAAAAAAAASCBPKAcAAAAAAAAAAAAASCiBcgAAAAAAAAAAAACAhBIoBwAAAAAAAAAAAABIKIFyAAAAAAAAAAAAAICEEigHAAAAAAAAAAAAAEgogXIAAAAAAAAAAAAAgIQSKAcAAAAAAAAAAAAASCiBcgAAAAAAAAAAAACAhBIoBwAAAAAAAAAAAABIKIFyAAAAAAAAAAAAAICEEigHAAAAAAAAAAAAAEgogXIAAAAAAAAAAAAAgIQSKAcAAAAAAAAAAAAASCiBcgAAAAAAAAAAAACAhBIoBwAAAAAAAAAAAABIKIFyAAAAAAAAAAAAAICEEigHAAAAAAAAAAAAAEgogXIAAAAAAAAAAAAAgIQSKAcAAAAAAAAAAAAASCiBcgAAAAAAAAAAAACAhBIoBwAAAAAAAAAAAABIKIFyAAAAAAAAAAAAAICEEigHAAAAAAAAAAAAAEgogXIAAAAAAAAAAAAAgIQSKAcAAAAAAAAAAAAASCiBcgAAAAAAAAAAAACAhBIoBwAAAAAAAAAAAABIKIFyAAAAAAAAAAAAAICEEigHAAAAAAAAAAAAAEgogXIAAAAAAAAAAAAAgIQSKAcAAAAAAAAAAAAASCiBcgAAAAAAAAAAAACAhBIoBwAAAAAAAAAAAABIKIFyAAAAAAAAAAAAAICEEigHAAAAAAAAAAAAAEgogXIAAAAAAAAAAAAAgIQSKAcAAAAAAAAAAAAASCiBcgAAAAAAAAAAAACAhBIoBwAAAAAAAAAAAABIKIFyAAAAAAAAAAAAAICEEigHAAAAAAAAAAAAAEio7HQPQPWQWadOZGbVq/Q+GTmV3+O/FTZrXKX9CupW7Ws82vf7qEr7AQAAAAAAAAAAALB98YRyAAAAAAAAAAAAAICEEigHAAAAAAAAAAAAAEgogXIAAAAAAAAAAAAAgIQSKAcAAAAAAAAAAAAASCiBcgAAAAAAAAAAAACAhBIoBwAAAAAAAAAAAABIKIFyAAAAAAAAAAAAAICEEigHAAAAAAAAAAAAAEgogXIAAAAAAAAAAAAAgIQSKAcAAAAAAAAAAAAASCiBcgAAAAAAAAAAAACAhBIoBwAAAAAAAAAAAABIKIFyAAAAAAAAAAAAAICEEigHAAAAAAAAAAAAAEgogXIAAAAAAAAAAAAAgIQSKAcAAAAAAAAAAAAASCiBcgAAAAAAAAAAAACAhBIoBwAAAAAAAAAAAABIKIFyAAAAAAAAAAAAAICEEigHAAAAAAAAAAAAAEgogXIAAAAAAAAAAAAAgIQSKAcAAAAAAAAAAAAASCiBcgAAAAAAAAAAAACAhBIoBwAAAAAAAAAAAABIKIFyAAAAAAAAAAAAAICEEigHAAAAAAAAAAAAAEgogXIAAAAAAAAAAAAAgIQSKAcAAAAAAAAAAAAASCiBcgAAAAAAAAAAAACAhBIoBwAAAAAAAAAAAABIKIFyAAAAAAAAAAAAAICEEigHAAAAAAAAAAAAAEgogXIAAAAAAAAAAAAAgIQSKAcAAAAAAAAAAAAASCiBcgAAAAAAAAAAAACAhBIoBwAAAAAAAAAAAABIKIFyAAAAAAAAAAAAAICEEigHAAAAAAAAAAAAAEgogXIAAAAAAAAAAAAAgIQSKAcAAAAAAAAAAAAASKjsdA/Aln3yyScxbdq0+PLLL+Obb76JOnXqxM477xxt2rSJjh07Rq1atdI9IgAAAAAAAAAAAACwgxMo346sXr067r333njooYfis88+2+p1NWvWjB//+Mdx4oknxq9+9asqnBAAAAAAAAAAAAAAqE4EyrcTzz77bAwaNCgWLVq0zWs3bNgQkyZNik8//VSgHAAAAAAAAAAAAAAoM4Hy7cCdd94ZQ4cOjcLCwpR67dq1Y5dddommTZtGfn5+LFiwIJYuXZqmKQEAAAAAAAAAAACA6kagPM2GDx8el156aUqtd+/eMWTIkOjZs2fUqlUr5WNfffVVvPbaa/HUU0/FO++8U5WjAgAAAAAAAAAAAADVjEB5Gs2ePTsuuuiionWNGjVi5MiRceqpp251zy677BIDBw6MgQMHxvLly6tiTAAAAAAAAAAAAACgmhIoT6Pzzjsv1q1bV7R+9NFHY8CAASXev9NOO1XGWAAAAAAAAAAAAABAQmSme4Ckevrpp+P1118vWg8YMKBUYXIAAAAAAAAAAAAAgPISKE+TBx54IGV93XXXpWkSAAAAAAAAAAAAACCpBMrTYP78+fHSSy8VrQ844IDYf//90zgRAAAAAAAAAAAAAJBEAuVp8OKLL8amTZuK1j179kzjNAAAAAAAAAAAAABAUgmUp8G7776bsu7YsWPR+++//34MGTIkOnbsGDvttFPUrVs39tprrzj66KPj9ttvj/nz51f1uAAAAAAAAAAAAABANSVQngbfD5S3atUq1qxZE+ecc0506tQp7r333pg+fXqsWLEi8vPz4/PPP49XX301Lr/88thnn33iqquuio0bN6ZpegAAAAAAAAAAAACguhAoT4PZs2enrDMzM6Nbt27xl7/8ZZt78/Pz45Zbbok+ffrE6tWrK2tEAAAAAAAAAAAAACABstM9QNJs3ry5WBB8yJAh8f7770dEREZGRvTt2zf69OkTu+22W6xduzbef//9ePjhh+Orr74q2vPqq69GXl5ejB49utwzLV68OJYsWVKqPd8PxQMAAAAAAAAAAAAAOx6B8iq2cuXKKCwsTKn961//ioiIJk2axNixY+Pwww9P+fjJJ58c11xzTZx//vnx2GOPFdXHjBkTo0aNijPPPLNcM913331xww03lOsMAAAAAAAAAAAAAGDHk5nuAZJmzZo1W6xnZWXFc889VyxM/p2cnJx4+OGH46c//WlK/eabby4WUAcAAAAAAAAAAAAAKAmB8ipWu3btLdYHDRoUBx988A/uzczMjD/96U+Rmfn/v22ffPJJTJgwoUJnBAAAAAAAAAAAAACSITvdAyRNTk7OFuvnnntuifa3atUqjjrqqHj55ZeLahMmTIgePXqUeabBgwfHgAEDSrVn9uzZcfzxx5e5JwAAAAAAAAAAAACQfgLlVaxOnTqRlZUVmzZtKqrVr18/DjzwwBKf0b1795RA+XvvvVeumXJzcyM3N7dcZwAAAAAAAAAAAAAAO57MdA+QRN8Pb++9996RmVnyb8W+++6bsl68eHGFzAUAAAAAAAAAAAAAJItAeRrst99+KesGDRqUav/3r1++fHm5ZwIAAAAAAAAAAAAAkkegPA3atWuXsl6/fn2p9q9bty5lXbdu3XLPBAAAAAAAAAAAAAAkj0B5GnTq1CllvWjRolLtX7x4ccq6SZMm5Z4JAAAAAAAAAAAAAEgegfI0+NnPfhaZmf//S//ZZ5/F119/XeL9U6dOTVnvu+++FTYbAAAAAAAAAAAAAJAcAuVpkJubG4cddlhKbcyYMSXaW1BQEGPHjk2p9ejRo6JGAwAAAAAAAAAAAAASRKA8Tc4///yU9e9///tYv379Nvc9+OCDsXDhwqJ1gwYN4phjjqnw+QAAAAAAAAAAAACA6k+gPE1OPfXUaN++fdF61qxZcf7558fmzZu3uuftt9+OK664IqU2ePDgaNiwYaXNCQAAAAAAAAAAAABUXwLlaZKZmRl33nlnZGRkFNVGjhwZxxxzTEydOjXl2pUrV8awYcPiqKOOijVr1hTV27RpE1dddVWVzQwAAAAAAAAAAAAAVC/Z6R4gyY488si45ZZb4sorryyqvfrqq3HQQQdF8+bNY7fddou1a9fGnDlzYsOGDSl7mzRpEk8++WTUr1+/qscGAAAAAAAAAAAAAKoJgfI0+81vfhN169aNoUOHxsaNG4vqCxcujIULF25xz7777hvjxo2LffbZp6rGBAAAAAAAAAAAAACqocx0D0DExRdfHNOnT4+TTz45atSosdXrWrZsGXfffXdMnz5dmBwAAAAAAAAAAAAAKDdPKN9OtG3bNh5//PFYtWpVTJ48OT799NNYuXJl5OTkxM477xydOnWKfffdN91jAgAAAAAAAAAAAADViED5dqZBgwbRq1ev6NWrV7pHAQAAAAAAAAAAAACqucx0DwAAAAAAAAAAAAAAQHoIlAMAAAAAAAAAAAAAJJRAOQAAAAAAAAAAAABAQgmUAwAAAAAAAAAAAAAklEA5AAAAAAAAAAAAAEBCCZQDAAAAAAAAAAAAACSUQDkAAAAAAAAAAAAAQEIJlAMAAAAAAAAAAAAAJJRAOQAAAAAAAAAAAABAQgmUAwAAAAAAAAAAAAAklEA5AAAAAAAAAAAAAEBCCZQDAAAAAAAAAAAAACSUQDkAAAAAAAAAAAAAQEIJlAMAAAAAAAAAAAAAJJRAOQAAAAAAAAAAAABAQgmUAwAAAAAAAAAAAAAklEA5AAAAAAAAAAAAAEBCCZQDAAAAAAAAAAAAACSUQDkAAAAAAAAAAAAAQEIJlAMAAAAAAAAAAAAAJJRAOQAAAAAAAAAAAABAQgmUAwAAAAAAAAAAAAAklEA5AAAAAAAAAAAAAEBCCZQDAAAAAAAAAAAAACSUQDkAAAAAAAAAAAAAQEIJlAMAAAAAAAAAAAAAJJRAOQAAAAAAAAAAAABAQgmUAwAAAAAAAAAAAAAklEA5AAAAAAAAAAAAAEBCCZQDAAAAAAAAAAAAACSUQDkAAAAAAAAAAAAAQEIJlAMAAAAAAAAAAAAAJJRAOQAAAAAAAAAAAABAQgmUAwAAAAAAAAAAAAAklEA5AAAAAAAAAAAAAEBCCZQDAAAAAAAAAAAAACSUQDkAAAAAAAAAAAAAQEIJlAMAAAAAAAAAAAAAJJRAOQAAAAAAAAAAAABAQgmUAwAAAAAAAAAAAAAkVHa6B6B62JyfH5szalZ+o7VrK7/Hf1u0uErb1ft3lbaLFZNyq6xXn/hplfWi4hWuqdqfvYycelXaz+dXsar686tKGXXrpHuESrW5XvX+/DLX5qd7BEikwm+q9mevuv+urmpV/WdDVf+ursrPb3PdGlXWKyIie8mqKu3nnyN2bFX9u7qqVec/G6r7zx4Vqzr/ORtR9X/WZn6zsUr7VfXnR8Vxr1Ssqv56+ufAilPV/0y2efHSKu1X3W2u6r+jrWKZ9ar27zWq89+jVLWq/t1S3f/9mYpV1X9HW9W/q7N2rrq8SUTVfj0zc5tWWa+Iqv/dUtX3ZnX/ela1wmaNq7RfxpKvq7RfdVad/zt1RNX/O1h1/d2yZuPXEfF4lfTaEk8oBwAAAAAAAAAAAABIKIFyAAAAAAAAAAAAAICEEigHAAAAAAAAAAAAAEgogXIAAAAAAAAAAAAAgIQSKAcAAAAAAAAAAAAASCiBcgAAAAAAAAAAAACAhBIoBwAAAAAAAAAAAABIKIFyAAAAAAAAAAAAAICEEigHAAAAAAAAAAAAAEgogXIAAAAAAAAAAAAAgIQSKAcAAAAAAAAAAAAASCiBcgAAAAAAAAAAAACAhBIoBwAAAAAAAAAAAABIKIFyAAAAAAAAAAAAAICEEigHAAAAAAAAAAAAAEgogXIAAAAAAAAAAAAAgIQSKAcAAAAAAAAAAAAASCiBcgAAAAAAAAAAAACAhBIoBwAAAAAAAAAAAABIKIFyAAAAAAAAAAAAAICEEigHAAAAAAAAAAAAAEgogXIAAAAAAAAAAAAAgIQSKAcAAAAAAAAAAAAASCiBcgAAAAAAAAAAAACAhBIoBwAAAAAAAAAAAABIKIFyAAAAAAAAAAAAAICEEigHAAAAAAAAAAAAAEgogXIAAAAAAAAAAAAAgIQSKAcAAAAAAAAAAAAASCiBcgAAAAAAAAAAAACAhBIoBwAAAAAAAAAAAABIKIFyAAAAAAAAAAAAAICEEigHAAAAAAAAAAAAAEgogXIAAAAAAAAAAAAAgIQSKAcAAAAAAAAAAAAASCiBcgAAAAAAAAAAAACAhBIoBwAAAAAAAAAAAABIKIFyAAAAAAAAAAAAAICEEigHAAAAAAAAAAAAAEgogXIAAAAAAAAAAAAAgIQSKAcAAAAAAAAAAAAASCiBcgAAAAAAAAAAAACAhBIoBwAAAAAAAAAAAABIKIHyNLj++usjIyOjzG95eXnp/hQAAAAAAAAAAAAAgGpAoBwAAAAAAAAAAAAAIKEEygEAAAAAAAAAAAAAEio73QMQcfvtt0fHjh1LfP0uu+xSidMAAAAAAAAAAAAAAEkhUL4d6Ny5c/To0SPdYwAAAAAAAAAAAAAACZOZ7gEAAAAAAAAAAAAAAEgPgXIAAAAAAAAAAAAAgIQSKAcAAAAAAAAAAAAASCiBcgAAAAAAAAAAAACAhBIoBwAAAAAAAAAAAABIqOx0D8C31q9fH3Pnzo1ly5ZFjRo1okmTJrHLLrtE3bp10z0aAAAAAAAAAAAAAFBNCZRvBy688MKYO3durFu3LqWenZ0dnTt3jt69e8fgwYOjWbNmaZoQAAAAAAAAAAAAAKiOBMq3AzNnztxivaCgIN5+++14++2347bbbovLLrssrrvuusjKyqrQ/osXL44lS5aUas/s2bMrdAYAAAAAAAAAAAAAoOoJlO8g8vPz43e/+11MnDgxxo0bFzk5ORV29n333Rc33HBDhZ0HAAAAAAAAAAAAAOwYMtM9QFJlZGTEoYceGjfddFO88sor8eWXX8Y333wT69ati/nz58e4cePi/PPPj9q1a6fsGz9+fJxyyimxadOmNE0OAAAAAAAAAAAAAFQXAuVp8NOf/jQ+/vjjePPNN+Oqq66Ko446KnbdddeoU6dO1KpVK3bZZZfo27dv3H///fHpp5/GYYcdlrL/ueeei/vuuy9N0wMAAAAAAAAAAAAA1UV2ugdIokMPPbTE1+62227x6quvxhFHHBFvvfVWUf3GG2+Mc845J+rWrVvueQYPHhwDBgwo1Z7Zs2fH8ccfX+7eAAAAAAAAAAAAAED6CJTvAGrXrh2jRo2K/fbbLwoKCiIiYvHixfHyyy9XSKg7Nzc3cnNzy30OAAAAAAAAAAAAALBjyUz3AJTM3nvvHccdd1xK7eWXX07TNAAAAAAAAAAAAABAdSBQvgM58sgjU9affPJJmiYBAAAAAAAAAAAAAKoDgfIdyO67756yXrJkSZomAQAAAAAAAAAAAACqA4HyHUiNGjVS1hs3bkzTJAAAAAAAAAAAAABAdSBQvgNZuHBhyrpZs2ZpmgQAAAAAAAAAAAAAqA4EyncgkyZNSlnvvvvuaZoEAAAAAAAAAAAAAKgOBMp3ECtWrIjRo0en1I488sg0TQMAAAAAAAAAAAAAVAcC5TuIyy67LFasWFG0rlmzZvTu3Tt9AwEAAAAAAAAAAAAAOzyB8ip26623xtSpU0t8fUFBQQwdOjSGDx+eUv/lL38ZLVq0qOjxAAAAAAAAAAAAAIAEESivYi+++GIcdNBBcdhhh8Xdd98d//73v6OgoKDYdStXroy//e1v0aVLlxg2bFjKx1q3bh3XXnttVY0MAAAAAAAAAAAAAFRT2ekeIKkmT54ckydPjoiIWrVqxW677RYNGzaMrKysWLZsWcybNy82b95cbF/z5s3jhRdeiCZNmlT1yAAAAAAAAAAAAABANSNQvh1Yv359zJkzZ5vX9enTJ/76179Gbm5uFUwFAAAAAAAAAAAAAFR3AuVV7Oqrr4799tsvJk6cGB9//HFs2rTpB6/PycmJ3r17x0UXXRTdunWroikBAAAAAAAAAAAAgCQQKK9iRx99dBx99NEREfHNN9/EzJkzY968ebFgwYJYs2ZNbN68ORo1ahQ77bRTtGvXLtq3bx9ZWVlpnhoAAAAAAAAAAAAAqI4EytOobt26cdBBB8VBBx2U7lEAAAAAAAAAAAAAgATKTPcAAAAAAAAAAAAAAACkh0A5AAAAAAAAAAAAAEBCCZQDAAAAAAAAAAAAACSUQDkAAAAAAAAAAAAAQEIJlAMAAAAAAAAAAAAAJJRAOQAAAAAAAAAAAABAQgmUAwAAAAAAAAAAAAAklEA5AAAAAAAAAAAAAEBCCZQDAAAAAAAAAAAAACSUQDkAAAAAAAAAAAAAQEIJlAMAAAAAAAAAAAAAJJRAOQAAAAAAAAAAAABAQgmUAwAAAAAAAAAAAAAklEA5AAAAAAAAAAAAAEBCCZQDAAAAAAAAAAAAACSUQDkAAAAAAAAAAAAAQEIJlAMAAAAAAAAAAAAAJJRAOQAAAAAAAAAAAABAQgmUAwAAAAAAAAAAAAAklEA5AAAAAAAAAAAAAEBCCZQDAAAAAAAAAAAAACSUQDkAAAAAAAAAAAAAQEIJlAMAAAAAAAAAAAAAJJRAOQAAAAAAAAAAAABAQgmUAwAAAAAAAAAAAAAklEA5AAAAAAAAAAAAAEBCCZQDAAAAAAAAAAAAACSUQDkAAAAAAAAAAAAAQEIJlAMAAAAAAAAAAAAAJJRAOQAAAAAAAAAAAABAQgmUAwAAAAAAAAAAAAAklEA5AAAAAAAAAAAAAEBCCZQDAAAAAAAAAAAAACSUQDkAAAAAAAAAAAAAQEIJlAMAAAAAAAAAAAAAJJRAOQAAAAAAAAAAAABAQgmUAwAAAAAAAAAAAAAklEA5AAAAAAAAAAAAAEBCCZQDAAAAAAAAAAAAACRUdroHgO1ZZr16Vduw5e5V2m7OyTtVWa9PzvlTlfUCAAAAAAAAAAAA2FHM+GR9dOiRvv6eUA4AAAAAAAAAAAAAkFAC5QAAAAAAAAAAAAAACSVQDgAAAAAAAAAAAACQUALlAAAAAAAAAAAAAAAJJVAOAAAAAAAAAAAAAJBQAuUAAAAAAAAAAAAAAAklUA4AAAAAAAAAAAAAkFAC5QAAAAAAAAAAAAAACSVQDgAAAAAAAAAAAACQUALlAAAAAAAAAAAAAAAJJVAOAAAAAAAAAAAAAJBQAuUAAAAAAAAAAAAAAAklUA4AAAAAAAAAAAAAkFAC5QAAAAAAAAAAAAAACSVQDgAAAAAAAAAAAACQUALlAAAAAAAAAAAAAAAJJVAOAAAAAAAAAAAAAJBQAuUAAAAAAAAAAAAAAAklUA4AAAAAAAAAAAAAkFAC5QAAAAAAAAAAAAAACSVQDgAAAAAAAAAAAACQUALlAAAAAAAAAAAAAAAJJVAOAAAAAAAAAAAAAJBQAuUAAAAAAAAAAAAAAAklUA4AAAAAAAAAAAAAkFAC5QAAAAAAAAAAAAAACSVQDgAAAAAAAAAAAACQUALlAAAAAAAAAAAAAAAJJVAOAAAAAAAAAAAAAJBQAuUAAAAAAAAAAAAAAAklUA4AAAAAAAAAAAAAkFAC5QAAAAAAAAAAAAAACSVQDgAAAAAAAAAAAACQUALlAAAAAAAAAAAAAAAJJVAOAAAAAAAAAAAAAJBQAuUAAAAAAAAAAAAAAAmVne4BsrKy0to/IyMjCgoK0joDAAAAAAAAAAAAAEA6pD1QXlhYmO4RAAAAAAAAAAAAAAASKTPdA0R8+5TwJPQEAAAAAAAAAAAAANiepP0J5d26dRPuBgAAAAAAAAAAAABIg7QHysePH5/uEQAAAAAAAAAAAAAAEikz3QMAAAAAAAAAAAAAAJAeAuXbsVNPPTUyMjJS3vbaa690jwUAAAAAAAAAAAAAVBMC5dupcePGxeOPP57uMQAAAAAAAAAAAACAakygfDu0cuXKuOCCC9I9BgAAAAAAAAAAAABQzWWne4CKtHr16li5cmVs3rw5mjdvHjVr1kz3SGVy+eWXx/z58yMiol69erF27do0TwQAAAAAAAAAAAAAVEc79BPKX3vttbjwwgujQ4cOUbNmzWjUqFHsueee0bJly5g0adIW90ydOjXeeOONeOONN2L69OlVPPG2jR8/Ph566KGIiMjMzIzrrrsuzRMBAAAAAAAAAAAAANXVDvmE8ilTpsQFF1xQFAgvLCxM+XhGRsZW9z7xxBNxxx13REREgwYNYsGCBVG7du3KG7YU8vPzY9CgQUWfz8UXXxxdunRJ81QAAAAAAAAAAAAAQHW1wz2h/O67747u3bvH9OnTSxUk/86QIUMiKysrCgsLY9WqVTF69OjKGrXU/vd//zfmzJkTERF77LFH3HjjjWmeCAAAAAAAAAAAAACoznaoQPlf/vKXuOSSS2Ljxo1FtaysrDj44INjwIABxQLmW7LbbrvFEUccUbR+5plnKmXW0nr33XfjrrvuKlr/8Y9/jJycnPQNBAAAAAAAAAAAAABUeztMoHzevHkxePDgyMjIKHq7/PLLY+HChfHWW2/FE088EREle0r5CSecEBERhYWF8c9//rNS5y6JjRs3xjnnnBObNm2KiIgBAwZE37590zwVAAAAAAAAAAAAAFDdZad7gJK69tprY8OGDRERkZmZGY899licdNJJZTrr8MMPL3p/+fLlMWfOnGjdunWFzFkWt9xyS3z44YcREdGoUaO455570jYLAAAAAAAAAAAAAJAcO8QTyjds2BBjxowpejL5eeedV+YweUREmzZtom7dukXrjz76qCLGLJOZM2fGTTfdVLS+7bbbonnz5mmbBwAAAAAAAAAAAABIjh0iUP7mm2/GN998E4WFhRERcfnll5frvMzMzGjRokXRev78+eU6r6w2b94c55xzTtGT1w8//PA499xz0zILAAAAAAAAAAAAAJA82ekeoCQ+++yzovd33XXXaNmyZbnPbNSoUdH7q1atKvd5ZXHPPffElClTIiKiZs2a8cADD0RGRkaVz7F48eJYsmRJqfbMnj27kqYBAAAAAAAAAAAAAKrKDhEo/y7snJGRkfJk8YqyefPmCj9zWz777LO45ppritb/8z//E23btq3yOSIi7rvvvrjhhhvS0hsAAAAAAAAAAAAASJ/MdA9QErVq1Sp6f8OGDRVy5rJly4reb9KkSYWcWRrnnXderF27NiIi2rZtG1dddVWVzwAAAAAAAAAAAAAAJNsOESjPzc2NiIjCwsKYP39+uc9bsWJFfPHFF5GRkZFyflUZPnx4vPrqqxHx7VPXH3jggahZs2aVzgAAAAAAAAAAAAAAkJ3uAUpi7733Lnp/2bJl8fHHH0fbtm3LfN5LL70UmzdvjohvA91dunQp94wltWDBgrjsssuK1oMGDYrDDz+8yvpvyeDBg2PAgAGl2jN79uw4/vjjK2cgAAAAAAAAAAAAAKBK7BCB8oMOOigaN24cy5cvj4iIBx98MO64444yn3f77bcXvd+mTZto0aJFuWcsqQsvvDBWrFgRERHNmzeP//u//6uy3luTm5tb5U9pBwAAAAAAAAAAAADSLzPdA5REZmZm/PznP4/CwsL4f+zceZyVdd34//c1DMjOoDAopIhLgPvtQneoqJml4oIpmqVJmXc9sFLvb2mbC1qhdaeVqXXnXqaSFT5cKDXRfGgCrrmAhYIMuLDjyA5z/f7w57kdV0ZmzjXnfJ7Px4NH57rOda7P+5yZORyHV1ee53HZZZfF448//qHOdcEFF8Sjjz4aEW9cnfzEE09szVHf1x/+8If485//XNr++c9/HnV1dWVbHwAAAAAAAAAAAADgrSoiKI+IOOecc6JTp06RZVmsWbMmDj744JgyZcoGP379+vXxne98J84777zIsiwiIurq6uLrX/96W438Dt/61rdKt0eOHBnHHnts2dYGAAAAAAAAAAAAAHi7ignKBw4cGN///vcjz/PIsiwWLFgQ++yzT5x44olx1113xaJFiyIiIs/ziHgjIF+4cGE8/PDD8aMf/Si23Xbb+PGPf1y6ynmWZfHzn/88evToUbbnsHTp0tLtO+64I7Is+8A/BxxwQLNzvPjii+845oknnijbcwAAAAAAAAAAAAAAqkdt0QO0xPe///2YOXNmXH/99ZFlWaxfvz5+//vfx+9///tmx+V5HgcffPA79kVEZFkWeZ7HGWecESeccELZZgcAAAAAAAAAAAAAaG8q5grlb7r66qvj7LPPjizLSvveetXxN/+8ue+t90W8EZSPHz8+/ud//qeopwAAAAAAAAAAAAAA0C5U1BXKIyJqampi3Lhx8elPfzrOP//8uOuuu971uDcD8jevTJ7neRxwwAFxwQUXxPDhw8s271vdeuutsXbt2hY95sknn4xvfvObpe1+/frF7373u2bHbLfddq0yHwAAAAAAAAAAAACQlooLyt80fPjw+Mtf/hIzZsyISZMmxQMPPBDTp0+PRYsWxdKlS6Nr167Rp0+fGDRoUBxwwAFx8MEHx+67717ozPvtt1+LH1Nb2/xL1Llz5/jkJz/ZWiMBAAAAAAAAAAAAAAmr2KD8TUOGDIkhQ4bEGWecUfQoAAAAAAAAAAAAAAAVpaboAQAAAAAAAAAAAAAAKIagHAAAAAAAAAAAAAAgUYJyAAAAAAAAAAAAAIBECcoBAAAAAAAAAAAAABJVW/QAG2vFihUxb968WLZsWaxcuTLyPG/xOUaMGNEGkwEAAAAAAAAAAAAAtG8VGZRPnz49rrzyypg0aVL8+9//jqampg99rizLYt26da04Xevaf//9P1QkDwAAAAAAAAAAAADwQSoqKF+zZk2ceeaZcdlll0VTU5PQGgAAAAAAAAAAAABgI1RMUL5u3bo45phj4o477iiF5FmWRUQIywEAAAAAAAAAAAAAPoSKCcovvfTSuP322yPLssiyLPI8jzzPY5dddonddtst6uvro1u3bkWPCQAAAAAAAAAAAABQMSoiKG9qaoof/ehHpZA8IuLggw+OSy65JAYPHlzwdAAAAAAAAAAAAAAAlakigvKHH344Fi1aVLo6+ciRI2PixIlRU1NT9GgAAAAAAAAAAAAAABWrIorsZ599NiKidHXySy65REwOAAAAAAAAAAAAALCRKqLKXrhwYen21ltvHdtuu22B0wAAAAAAAAAAAAAAVIeKCMo7duwYERFZlkV9fX3B0wAAAAAAAAAAAAAAVIeKCMoHDRpUur106dLiBgEAAAAAAAAAAAAAqCIVEZTvu+++UVNTE3mex6xZs2L58uVFjwQAAAAAAAAAAAAAUPEqIijv27dvHHHEERERsXbt2vjjH/9Y8EQAAAAAAAAAAAAAAJWvIoLyiIiLLroounTpEhERZ599dixatKjgiQAAAAAAAAAAAAAAKlvFBOXbb799XHfddVFTUxNz586NQw45JObOnVv0WAAAAAAAAAAAAAAAFatigvKIiGOOOSZuvfXWqKuri0cffTR23nnn+O53vxtPPPFE5Hle9HgAAAAAAAAAAAAAABWltugBNtQ222xTup3neeR5HsuWLYuLLrooLrrooujYsWNsuumm0blz5xadN8uyeP7551t7XAAAAAAAAAAAAACAdq9igvLZs2dHlmWR53lkWRZZlkVElK5MvmbNmnjllVdafN43zwMAAAAAAAAAAAAAkJqKCcrf9PYAfGOC8DdjdAAAAAAAAAAAAACAFFVMUL7VVlu5mjgAAAAAAAAAAAAAQCuqmKB89uzZRY8AAAAAAAAAAAAAAFBVaooeAAAAAAAAAAAAAACAYgjKAQAAAAAAAAAAAAASJSgHAAAAAAAAAAAAAEiUoBwAAAAAAAAAAAAAIFGCcgAAAAAAAAAAAACARAnKAQAAAAAAAAAAAAASVVv0AB/WU089FZMmTYrHHnssGhoaYtmyZbFy5crI87xF58myLJ5//vk2mhIAAAAAAAAAAAAAoP2quKD80Ucfja997WsxderUZvtbGpK/Kcuy1hgLAAAAAAAAAAAAAKDiVFRQft1118Upp5wS69evLwXkbwbhHyYM/7AROgAAAAAAAAAAAABANaiYoPzBBx+ML3/5y7F+/frIsiyyLIs8zyPP86itrY26urro1q1b0WMCAAAAAAAAAAAAAFSMignKv/nNb5Zi8jzPo2vXrvH1r389jjvuuNhpp52itrZingoAAAAAAAAAAAAAQLtQERX2iy++GFOmTCnF5AMGDIh77703tt9++6JHAwAAAAAAAAAAAACoWDVFD7AhHnrooYiIyPM8siyLyy67TEwOAAAAAAAAAAAAALCRKiIof+WVV0q36+rq4vDDDy9wGgAAAAAAAAAAAACA6lARQfnq1asjIiLLsthmm20iy7KCJwIAAAAAAAAAAAAAqHwVEZTX19eXbq9bt67ASQAAAAAAAAAAAAAAqkdFBOV77rlnRETkeR4NDQ0FTwMAAAAAAAAAAAAAUB0qIijfZZddYvDgwRERsWTJkpg2bVrBEwEAAAAAAAAAAAAAVL6KCMojIs4555zS7XHjxhU4CQAAAAAAAAAAAABAdaiYoPz444+Pz33uc5HneUyaNElUDgAAAAAAAAAAAACwkSomKI+IuOaaa+Kzn/1s5Hke559/fhx99NExY8aMoscCAAAAAAAAAAAAAKhIWZ7nedFDbIjzzz+/dPv666+PF154IbIsi4iInXfeOfbcc8+or6+Pzp07t/jc55xzTqvNmYpnnnkmdtppp9L2f8ZB0T3r1ebr1nTr1uZrFCnrXt7nl7++vGxr1dT3KdtaERH5ipVlXa/csq5dih4B3tO6vj3LtlbNirVlW4vW19S1Y1nXq/bvF69n5apZXt7PLU3dyvs5otzPD6AtlPu9s9yq/b3a332tp9p/FnympiV8v7QeryWkwc966/J6tq5yv57lVu6vXzlfz2r/3iw3v6uubNX+3+zl/PpV+2tZbt5bWle1f39W83t1tX/taB2vr1oQD/3716Xtp59+OnbccceyrV9btpU20nnnnVcKyCMisiyLN1v4f/7zn/HUU0996HMLygEAAAAAAAAAAACAFFVMUP5u3hqYfxh5nm/0OQAAAAAAAAAAAAAAKlVFBeVvXpEcAAAAAAAAAAAAAICNVzFB+eTJk4seAQAAAAAAAAAAAACgqlRMUL7ffvsVPQIAAAAAAAAAAAAAQFWpKXoAAAAAAAAAAAAAAACKISgHAAAAAAAAAAAAAEiUoBwAAAAAAAAAAAAAIFGCcgAAAAAAAAAAAACARAnKAQAAAAAAAAAAAAASVVv0AK1h0aJFsXDhwli6dGmsXr26xY8fMWJEG0wFAAAAAAAAAAAAANC+VWxQ/te//jWuueaaeOihh2LevHkf+jxZlsW6detacTIAAAAAAAAAAAAAgMpQcUH5c889F5/73OfiiSeeiIiIPM+LHQgAAAAAAAAAAAAAoEJVVFD+yCOPxAEHHBArVqyIPM8jy7LSfW+9/fbI/K33vdv9AAAAAAAAAAAAAAApqpigfOnSpXHUUUfF8uXLS4F4z54945BDDolBgwbF+PHjI+KNePzEE0+MAQMGxOLFi+OZZ56JRx99NFatWlV63A477BCjR48u7LkAAAAAAAAAAAAAALQHFROUX3rppTFv3rxSFH7ooYfGb3/72+jdu3dERIwfP75030knnRSf+MQnSo9tbGyMq666Ks4///xYunRpTJ8+PZ5//vm4+uqro7a2Yl4CAAAAAAAAAAAAAIBWVVP0ABvqiiuuiCzLIs/z+OhHPxp/+tOfSjH5B+nRo0ecfvrp8dRTT8Wuu+4aeZ7HDTfcEGPGjGnboQEAAAAAAAAAAAAA2rGKCMr//e9/xyuvvBIREVmWxTnnnBOdOnVq8XkGDBgQd911V2y++eaR53nceOONMWHChNYeFwAAAAAAAAAAAACgIlREUP7YY49FRESe51FTUxNHHHHE+x7f1NT0nvf17ds3LrjggtL2D37wg9YZEgAAAAAAAAAAAACgwlREUL5w4cKIeOPq5AMHDoxu3bq97/ErV6583/uPO+646NSpU+R5Hs8880zMnDmz1WYFAAAAAAAAAAAAAKgUFRGUL1u2rHR7s802e9djunbtGnmeR0TE66+//r7n6969ewwaNKi0PW3atFaYEgAAAAAAAAAAAACgslREUN6lS5fS7Tej8bfr2bNn6fbcuXM/8Jx1dXWl2y+99NKHHw4AAAAAAAAAAAAAoEJVRFD+1quSNzY2vusxW2yxRen2s88++4HnXLBgQen2mjVrNmI6AAAAAAAAAAAAAIDKVBFB+ZAhQyLijauTNzQ0vOsxu+66a+mYyZMnv+/55syZEy+88EJkWRYREb17927FaQEAAAAAAAAAAAAAKkNFBOU77rhj1NbWRkTEypUr44UXXnjHMfvss0/pdkNDQ9x0003veb5zzjknIt6IzyMihg4d2prjAgAAAAAAAAAAAABUhIoIyrt16xZ77rlnafvee+99xzFHH310bLLJJpFlWeR5Hl/96ldjwoQJpWg8IuK1116LU089Na6//vrS1cl79eoVH//4x9v+SQAAAAAAAAAAAAAAtDMVEZRHRBx88MGl27fddts77u/Vq1d8/etfjzzPI8uyeO211+L444+Pfv36xfDhw2PPPfeMfv36xa9+9auIiNJx3/jGN6JTp05lex4AAAAAAAAAAAAAAO1FxQTlxx9/fES8EYJPmjQpGhoa3nHMeeedFzvttFMpFs/zPBYuXBhTpkyJxx57LFavXl26LyJi2LBh8b3vfa+szwMAAAAAAAAAAAAAoL2oLXqADbX99tvHbbfdFqtWrYqIiKampncc07Vr15g8eXIcc8wxcf/990dElOLxN/83z/PI8zwOPfTQuOGGG6Jjx45legYAAAAAAAAAAAAAAO1LxQTlEREjR478wGM222yzmDx5ctx2221x0003xcMPPxyvvvpq5Hkem2++eQwfPjy+8IUvxEEHHVSGiQEAAAAAAAAAAAAA2q+KCspb4vDDD4/DDz+86DEAAAAAAAAAAAAAANqtmqIHAAAAAAAAAAAAAACgGIJyAAAAAAAAAAAAAIBECcoBAAAAAAAAAAAAABIlKAcAAAAAAAAAAAAASJSgHAAAAAAAAAAAAAAgUbVFD/BhNDU1xR133BGTJk2Kxx57LBoaGmLZsmWxcuXKFp8ry7JYt25dG0wJAAAAAAAAAAAAANC+VVxQPnHixPjGN74R8+bNi4iIPM8LnggAAAAAAAAAAAAAoDLVFD1AS/zgBz+Io48+OubOnVsKybMsiyzLWnyuD/MYAAAAAAAAAAAAAIBqUjFXKL/99tvjnHPOiYj/i8HfjMq32mqrqK+vj27duhU2HwAAAAAAAAAAAABApamYoPyss86KiDdi8jzPo3///nH22WfHscceG7179y54OgAAAAAAAAAAAACAylMRQfmMGTNi+vTppZh86NChcf/990efPn2KHm2jrVmzJmbMmBGzZ8+OefPmRWNjY6xduzZ69uwZm222Weyyyy4xdOjQ6NChQ9GjAgAAAAAAAAAAAABVpiKC8qlTp0ZERJ7nkWVZXHHFFRUdk99yyy1xzz33xIMPPhgzZsyIdevWve/xvXr1iuOPPz5OO+20GDJkSJmmBAAAAAAAAAAAAACqXU3RA2yI+fPnl2737ds3RowYUeA0G+/000+PX//61/H0009/YEweEbFs2bL41a9+Fbvsskucd955ked5GaYEAAAAAAAAAAAAAKpdRVyhfP369RERkWVZDBw4sOBp2kbnzp1jq622il69ekVTU1MsXLgw5syZ0yweX7t2bYwbNy4aGhriqquuKnBaAAAAAAAAAAAAAKAaVERQ3r9//9LtlStXFjhJ6+nfv3+MHDkyRowYER//+Mdj0KBBUVPT/ILxS5YsiVtuuSXOP//8mDt3bmn/1VdfHfvss0988YtfLPfYAAAAAAAAAAAAAEAVqYig/GMf+1hEROR5HnPmzImmpqZ3xNeV5M4774ydd945six73+N69+4dp5xyShxzzDHxyU9+Mh577LHSfd/73vfipJNOqujXAQAAAAAAAAAAAAAoVkXUyB/96Edjjz32iIiIxsbGuO+++4odaCPtsssuHxiTv1Xv3r3jd7/7XbPHvPzyy/Hggw+2xXgAAAAAAAAAAAAAQCIqIiiPiPjhD39Yun322WdHnucFTlN+Q4cOLUX1b5o+fXpB0wAAAAAAAAAAAAAA1aBigvJPfepT8c1vfjPyPI+HH344TjnllFi/fn3RY5XVtttu22x74cKFBU0CAAAAAAAAAAAAAFSDignKIyJ+/OMfx1lnnRV5nsc111wTe++9d9x1111Fj1U2q1atarZdV1dXzCAAAAAAAAAAAAAAQFWoLXqAL33pSy1+zKBBg2LWrFkxbdq0OOSQQ6JXr16x++67R319fXTu3LlF58qyLK666qoWz1BueZ7HtGnTmu3bY489CpoGAAAAAAAAAAAAAKgGhQfl1157bWRZ1uLHZVkWeZ5HRMTSpUtj8uTJLT5HnucVE5RfffXV8dJLL5W2hwwZEsOGDStwIgAAAAAAAAAAAACg0hUelG+MDxOiV6Lrrrsuxo4dW9quqamJX/7yl8k8fwAAAAAAAAAAAACgbbSLoPzNK42n6l//+lfMmTOntL127dpYsmRJPP3003HrrbfGs88+W7qvU6dO8b//+79x4IEHFjEqAAAAAAAAAAAAAFBFCg/KZ82aVfQIhbv88svj5z//+fsek2VZHHzwwTF+/PjYddddW3X9+fPnx4IFC1r0mJkzZ7bqDAAAAAAAAAAAAABA+RUelA8cOLDoESrC6NGj4xvf+Earx+QRbwTt48aNa/XzAgAAAAAAAAAAAADtW03RA7BhJkyYEPvss0+MGDHC1cEBAAAAAAAAAAAAgFYhKG8Hfvazn0We56U/K1asiIaGhrj99tvj5JNPji5dupSOfeCBB2KvvfaKRx55pMCJAQAAAAAAAAAAAIBqUFv0ALxTly5d4iMf+Uh85CMfiZEjR8a3v/3tGD16dDzxxBMREbF06dIYNWpUPP3001FXV7fR640dOzZGjx7dosfMnDkzRo0atdFrAwAAAAAAAAAAAADFaVdB+erVq2PEiBGxYMGC0r6LL764VcLlSZMmxde+9rXI8zwiIvr37x/3339/dOjQYaPP3da22267uPvuu2P33XePhoaGiIiYN29e/OQnP4kf/vCHG33++vr6qK+v3+jzAAAAAAAAAAAAAACVpaboAd7qkksuiWnTpsXs2bPjxRdfjAMPPLDVroJ9yCGHxFFHHRWzZ8+O2bNnxz/+8Y+4/PLLW+Xc5dCnT58YN25cs33XXnttMcMAAAAAAAAAAAAAAFWh3QTlK1asiAsvvDCyLIuIiMGDB8cVV1zRqmtceOGFsfPOO0eWZZHneVxwwQWxdu3aVl2jLR111FGl1yci4qWXXooXX3yxwIkAAAAAAAAAAAAAgErWboLyP/7xj/Haa69FnueRZVmMHz8+amtrW3WN2tra+MUvfhF5nkdExKJFi+LWW29t1TXaUl1dXWy66abN9r3yyisFTQMAAAAAAAAAAAAAVLp2E5T/7ne/i4iILMtijz32iCOPPLJN1tlvv/3i4x//eGn72muvbZN1yqVjx45FjwAAAAAAAAAAAAAAVKh2EZQ3NTXFgw8+GFmWRUTEscce26brHXPMMRERked5/P3vfy9dsby9a2xsjMWLFzfb169fv4KmAQAAAAAAAAAAAAAqXbsIyp9++ulYsWJFKexuq6uTv+nwww8v3V6+fHk888wzbbpea7njjjuaxe99+/aNLbbYosCJAAAAAAAAAAAAAIBK1i6C8unTp5dud+3aNbbffvs2XW+77baLrl27lrafffbZNl2vNaxcuTLOPffcZvsOO+ywqKlpF19CAAAAAAAAAAAAAKACtYsaecmSJRERkWVZ9OvXryxrvvXK3osXLy7LmhERZ555ZkybNq1Fj1m8eHEcccQR8a9//au0r0OHDnHGGWe09ngAAAAAAAAAAAAAQELaVVAeEdGnT5+yrLnZZpuVbi9durQsa0ZE3HXXXTFs2LD42Mc+FhdffHE88cQTsXbt2nccl+d5zJgxIy644IIYPHhw3HPPPc3uP+OMM2LnnXcu19gAAAAAAAAAAAAAQBWqLXqAiIiamv/r2pctW1aWNd+6TpZlZVnzraZOnRpTp06NiIhOnTrFgAEDoq6uLjp16hSNjY3R0NAQjY2N7/rYk046KS666KJyjgsAAAAAAAAAAAAAVKF2EZT37NkzIt64KveCBQvKsuZb1+nRo0dZ1nwva9asiVmzZn3gcT179owLL7wwvvrVrxYSwQMAAAAAAAAAAAAA1aVdBOVbbrll6faSJUuioaGh2b7W1tDQEIsXLy5F2W251tvdeOONcdttt8Xdd98dU6dOjddee+19j8+yLHbeeec48cQT46STToq+ffuWaVIAAAAAAAAAAAAAoNq1i6B8p512iogoBd533nlnfOUrX2mz9SZNmhQRb1wRPcuy0vrlMHTo0Bg6dGiceeaZ0dTUFP/+979j5syZMWfOnHjttddi7dq10aNHj+jVq1dsvfXWsfvuu5eu4A4AAAAAAAAAAAAA0JraRVC+9dZbx4ABA+Kll16KiIirrrqqTYPyq666qnR78803j0GDBrXZWu+npqYmBg8eHIMHDy5kfQAAAAAAAAAAAAAgbTVFD/CmUaNGRZ7nked5PProo3HjjTe2yTo33XRTTJs2LbIsiyzL4jOf+UybrAMAAAAAAAAAAAAA0N61m6D8zSuSZ1kWeZ7HqaeeGk899VSrrvH000/HqaeeWlojIuKUU05p1TUAAAAAAAAAAAAAACpFuwnKd9pppzjqqKMiz/PIsiyWLl0an/rUp2Lq1Kmtcv5p06bFpz/96ViyZElpjSOPPDJ22WWXVjk/AAAAAAAAAAAAAEClaTdBeUTEz372s+jVq1dEvHGl8ldffTX23nvvOPPMM2Px4sUf6pxLliyJb3/727H33nvHyy+/HFmWRUREz54942c/+1lrjQ4AAAAAAAAAAAAAUHHaVVC+5ZZbxm9/+9uoqXljrCzLYv369fHTn/40BgwYEJ/73Ofi5ptvjueff/59z/PCCy/EhAkT4oQTTogBAwbET37yk1i3bl1kWRZ5nkeHDh3iuuuui6222qocTwsAAAAAAAAAAAAAoF2qLXqAtzvssMPi2muvjZNPPjnWrl1bisBXr14dN998c9x8880REdG9e/fo27dv1NXVRbdu3WL58uWxbNmyWLBgQTQ2NpbOl+d5RETpPB07dozf/OY3ccQRRxTy/AAAAAAAAAAAAAAA2ot2F5RHRHz+85+PwYMHx3HHHRezZs2KLMsi4v/i8IiIxsbGUjj+Ziz+bt762K233jpuvvnm2Guvvdr4GQAAAAAAAAAAAAAAtH81RQ/wXvbcc8944okn4vTTT49u3bo1u9L42/+83/48z6Nbt25x2mmnxeOPPy4mBwAAAAAAAAAAAAD4/7XboDwiokePHnHxxRdHQ0NDjB8/PoYNGxYdOnSIPM8/8E+HDh1i2LBhMX78+JgzZ05ccskl0atXr6KfEgAAAAAAAAAAAABAu1Fb9AAbolevXnHWWWfFWWedFStWrIiHH344ZsyYEYsXL47FixdHY2Nj9OjRIzbddNPYdNNNY8iQIfGf//mf0bVr16JHBwAAAAAAAAAAAABotyoiKH+rrl27xic+8Yn4xCc+UfQoAAAAAAAAAAAAAAAVraboAQAAAAAAAAAAAAAAKIagHAAAAAAAAAAAAAAgUYJyAAAAAAAAAAAAAIBECcoBAAAAAAAAAAAAABIlKAcAAAAAAAAAAAAASJSgHAAAAAAAAAAAAAAgUYJyAAAAAAAAAAAAAIBECcoBAAAAAAAAAAAAABIlKAcAAAAAAAAAAAAASJSgHAAAAAAAAAAAAAAgUYJyAAAAAAAAAAAAAIBECcoBAAAAAAAAAAAAABIlKAcAAAAAAAAAAAAASJSgHAAAAAAAAAAAAAAgUYJyAAAAAAAAAAAAAIBECcoBAAAAAAAAAAAAABIlKAcAAAAAAAAAAAAASJSgHAAAAAAAAAAAAAAgUYJyAAAAAAAAAAAAAIBECcoBAAAAAAAAAAAAABIlKAcAAAAAAAAAAAAASJSgHAAAAAAAAAAAAAAgUYJyAAAAAAAAAAAAAIBECcoBAAAAAAAAAAAAABIlKAcAAAAAAAAAAAAASJSgHAAAAAAAAAAAAAAgUYJyAAAAAAAAAAAAAIBECcoBAAAAAAAAAAAAABIlKAcAAAAAAAAAAAAASFRt0QNQHWq6dImaDt3afJ2se9uv0Wy9rl3Kul5Tt/KuF303LdtS67p2LNtaERHru25W1vU6rFhb1vXWl/n1XNelQ1nXK7falevLut6qzcr89eucVfV6tJ7aVXlZ11tdV97/b2OHMj+/cr+efvZaT7m/drWrepV1vXKrXdGj6BGoIOX+XFbOz7nlfm7lVu7PuLUrmsq63rqu5f3cUu6/18v9d1G1f/0iyvd6lvu1XLVpdf9+oPw/e+X93Flu/huldZXz+8XXrnVV+886rcvPX+VaX+avXbl/11ntz2917zJ/DlxZ1uWqWrX/3r/86sq6WufFZf5dYNfq/l18tX+OKOfvr6r9tSy/urKuVv73au8trana/920nKr9vaxan9/KJasj/l3c+q5QDgAAAAAAAAAAAACQKEE5AAAAAAAAAAAAAECiBOUAAAAAAAAAAAAAAIkSlAMAAAAAAAAAAAAAJEpQDgAAAAAAAAAAAACQKEE5AAAAAAAAAAAAAECiBOUAAAAAAAAAAAAAAIkSlAMAAAAAAAAAAAAAJEpQDgAAAAAAAAAAAACQKEE5AAAAAAAAAAAAAECiBOUAAAAAAAAAAAAAAIkSlAMAAAAAAAAAAAAAJEpQDgAAAAAAAAAAAACQKEE5AAAAAAAAAAAAAECiBOUAAAAAAAAAAAAAAIkSlAMAAAAAAAAAAAAAJEpQDgAAAAAAAAAAAACQKEE5AAAAAAAAAAAAAECiBOUAAAAAAAAAAAAAAIkSlAMAAAAAAAAAAAAAJEpQDgAAAAAAAAAAAACQKEE5AAAAAAAAAAAAAECiBOUAAAAAAAAAAAAAAIkSlAMAAAAAAAAAAAAAJEpQDgAAAAAAAAAAAACQKEE5AAAAAAAAAAAAAECiBOUAAAAAAAAAAAAAAIkSlAMAAAAAAAAAAAAAJEpQDgAAAAAAAAAAAACQKEE5AAAAAAAAAAAAAECiBOUAAAAAAAAAAAAAAIkSlAMAAAAAAAAAAAAAJEpQDgAAAAAAAAAAAACQKEE5AAAAAAAAAAAAAECiBOUAAAAAAAAAAAAAAIkSlAMAAAAAAAAAAAAAJEpQDgAAAAAAAAAAAACQKEE5AAAAAAAAAAAAAECiBOUAAAAAAAAAAAAAAIkSlAMAAAAAAAAAAAAAJEpQDgAAAAAAAAAAAACQqNqiB0hdnucxe/bseOqpp2Lu3LmxdOnS2GSTTaJ3796x/fbbx1577RWdO3cuekwAAAAAAAAAAAAAoAoJyguwZMmSmDhxYvzlL3+Je++9NxYuXPiex3bs2DFGjhwZp59+euy3335lnBIAAAAAAAAAAAAAqHY1RQ+QmlNPPTU233zz+NKXvhQTJkx435g8ImLt2rUxceLE2H///eOkk06K1157rUyTAgAAAAAAAAAAAADVzhXKy2zKlCmxZs2ad+zv0KFDbLHFFtGvX79Yu3ZtvPjii7Fs2bJmx1x//fUxY8aM+Nvf/hbdu3cv18gAAAAAAAAAAAAAQJVyhfIC1dXVxdixY+OOO+6IJUuWRENDQzzyyCPx5JNPxqJFi2Ly5Mmx7777NnvM1KlTY8yYMcUMDAAAAAAAAAAAAABUFUF5Abbeeuu48sor46WXXorLLrssDj300OjRo0ezYzp06BD7779/TJ48Of7rv/6r2X1//OMfY/LkyeUcGQAAAAAAAAAAAACoQoLyMhs3blw899xzcfLJJ0eXLl0+8PgOHTrE5ZdfHnvuuWez/VdeeWVbjQgAAAAAAAAAAAAAJEJQXmYjR46MTp06tegxHTp0iDPPPLPZvr/+9a+tORYAAAAAAAAAAAAAkCBBeYXYd999m20vWrQoVqxYUdA0AAAAAAAAAAAAAEA1EJRXiN69e79j37JlywqYBAAAAAAAAAAAAACoFoLyCjFv3rx37Ntss80KmAQAAAAAAAAAAAAAqBaC8grxwAMPNNseOHBgdOrUqaBpAAAAAAAAAAAAAIBqICivEFdffXWz7UMPPbSgSQAAAAAAAAAAAACAalFb9AB8sDvvvDP+/ve/N9s3ZsyYVjv//PnzY8GCBS16zMyZM1ttfQAAAAAAAAAAAACgGILydm7x4sXxla98pdm+UaNGxbBhw1ptjcsvvzzGjRvXaucDAAAAAAAAAAAAACpDTdED8N6amprihBNOiLlz55b29erVK37xi18UOBUAAAAAAAAAAAAAUC0E5e3Yt771rZg0aVKzfb/+9a9jyy23LGgiAAAAAAAAAAAAAKCa1BY9AO/uF7/4RVx88cXN9p155plx3HHHtfpaY8eOjdGjR7foMTNnzoxRo0a1+iwAAAAAAAAAAAAAQPkIytuh3//+93H66ac32zdmzJi48MIL22S9+vr6qK+vb5NzAwAAAAAAAAAAAADtV03RA9Dc7bffHieddFLkeV7a95nPfCauvPLKyLKswMkAAAAAAAAAAAAAgGojKG9HJk+eHKNHj45169aV9h100EFx4403RocOHQqcDAAAAAAAAAAAAACoRoLydmLKlClxxBFHxKpVq0r7hg8fHn/+85+jU6dOBU4GAAAAAAAAAAAAAFQrQXk78M9//jMOOeSQeP3110v7/uM//iPuvPPO6NatW4GTAQAAAAAAAAAAAADVTFBesOeeey4OOuigWLJkSWnf0KFD469//Wv06tWrwMkAAAAAAAAAAAAAgGonKC/Qiy++GJ/85Cdj/vz5pX2DBg2Ku+++O/r27VvgZAAAAAAAAAAAAABACgTlBXn55ZfjwAMPjLlz55b2DRgwIP72t7/FgAEDCpwMAAAAAAAAAAAAAEiFoLwAixcvjoMOOiief/750r6+ffvG3XffHYMGDSpwMgAAAAAAAAAAAAAgJYLyMmtsbIyDDz44nnnmmdK+urq6uOuuu2Lo0KEFTgYAAAAAAAAAAAAApKa26AFSc8QRR8S0adOa7fvv//7vWLhwYdxzzz0tOtcee+wRvXv3bs3xAAAAAAAAAAAAAICECMrL7L777nvHvnPOOedDnWvy5Mmx//77b9xAAAAAAAAAAAAAAECyaooeAAAAAAAAAAAAAACAYgjKAQAAAAAAAAAAAAASVVv0AKnJ87zoEQAAAAAAAAAAAAAAIsIVygEAAAAAAAAAAAAAkiUoBwAAAAAAAAAAAABIlKAcAAAAAAAAAAAAACBRgnIAAAAAAAAAAAAAgEQJygEAAAAAAAAAAAAAEiUoBwAAAAAAAAAAAABIlKAcAAAAAAAAAAAAACBRgnIAAAAAAAAAAAAAgEQJygEAAAAAAAAAAAAAEiUoBwAAAAAAAAAAAABIlKAcAAAAAAAAAAAAACBRgnIAAAAAAAAAAAAAgEQJygEAAAAAAAAAAAAAEiUoBwAAAAAAAAAAAABIlKAcAAAAAAAAAAAAACBRgnIAAAAAAAAAAAAAgEQJygEAAAAAAAAAAAAAEiUoBwAAAAAAAAAAAABIlKAcAAAAAAAAAAAAACBRgnIAAAAAAAAAAAAAgEQJygEAAAAAAAAAAAAAEiUoBwAAAAAAAAAAAABIlKAcAAAAAAAAAAAAACBRgnIAAAAAAAAAAAAAgEQJygEAAAAAAAAAAAAAEiUoBwAAAAAAAAAAAABIlKAcAAAAAAAAAAAAACBRgnIAAAAAAAAAAAAAgEQJygEAAAAAAAAAAAAAEiUoBwAAAAAAAAAAAABIlKAcAAAAAAAAAAAAACBRgnIAAAAAAAAAAAAAgEQJygEAAAAAAAAAAAAAEiUoBwAAAAAAAAAAAABIlKAcAAAAAAAAAAAAACBRgnIAAAAAAAAAAAAAgEQJygEAAAAAAAAAAAAAEiUoBwAAAAAAAAAAAABIlKAcAAAAAAAAAAAAACBRgnIAAAAAAAAAAAAAgETVFj0A1aFp5cpoyjq1/ULLl7f9Ggnp0K++fGuVbaVi1iu3cj+/jq+X92cv696trOvlZX5+nar8+ZX761dOWdcuRY/Qppq6Vffzq1m+sugRIEn5ivL+7FX7e3W5lfvvhnK/V3cs4/Nr6tqxbGtFRNQueK2s63VcWN0/e9X+OaLc79XlVs1/N5T7fbpLQ1mXo5WV+72s3N+f5f67tmbF2rKuV+7nR+vxvdK6yv16+hzYesr9maxp/sKyrlftmqr832hrupX33zWq+d9Ryq3c7y3V/t/PtK5y/xttud+ry9mbRJT39ayp71O2tSLK/95S7u/Nan89yy3vu2lZ18sWLC7retWsmn9PHVH+/war1veW19cW+zPnCuUAAAAAAAAAAAAAAIkSlAMAAAAAAAAAAAAAJEpQDgAAAAAAAAAAAACQKEE5AAAAAAAAAAAAAECiBOUAAAAAAAAAAAAAAIkSlAMAAAAAAAAAAAAAJEpQDgAAAAAAAAAAAACQKEE5AAAAAAAAAAAAAECiBOUAAAAAAAAAAAAAAIkSlAMAAAAAAAAAAAAAJEpQDgAAAAAAAAAAAACQKEE5AAAAAAAAAAAAAECiBOUAAAAAAAAAAAAAAIkSlAMAAAAAAAAAAAAAJEpQDgAAAAAAAAAAAACQKEE5AAAAAAAAAAAAAECiBOUAAAAAAAAAAAAAAIkSlAMAAAAAAAAAAAAAJEpQDgAAAAAAAAAAAACQKEE5AAAAAAAAAAAAAECiBOUAAAAAAAAAAAAAAIkSlAMAAAAAAAAAAAAAJEpQDgAAAAAAAAAAAACQKEE5AAAAAAAAAAAAAECiBOUAAAAAAAAAAAAAAIkSlAMAAAAAAAAAAAAAJEpQDgAAAAAAAAAAAACQKEE5AAAAAAAAAAAAAECiBOUAAAAAAAAAAAAAAIkSlAMAAAAAAAAAAAAAJEpQDgAAAAAAAAAAAACQKEE5AAAAAAAAAAAAAECiBOUAAAAAAAAAAAAAAIkSlAMAAAAAAAAAAAAAJEpQDgAAAAAAAAAAAACQKEE5AAAAAAAAAAAAAECiBOUAAAAAAAAAAAAAAIkSlAMAAAAAAAAAAAAAJEpQDgAAAAAAAAAAAACQKEE5AAAAAAAAAAAAAECiBOUAAAAAAAAAAAAAAIkSlAMAAAAAAAAAAAAAJKq26AFSN2/evJg6dWpMmTIlpk6dGo888kg0NjaW7h84cGDMnj27uAEBAAAAAAAAAAAAgKolKC/Agw8+GD/96U9jypQp8dJLLxU9DgAAAAAAAAAAAACQKEF5AaZNmxZ//vOfix4DAAAAAAAAAAAAAEhcTdED0Fz37t2LHgEAAAAAAAAAAAAASIQrlBeoR48esccee8Ree+0Vw4YNi7322itmzZoVBxxwQNGjAQAAAAAAAAAAAAAJEJQX4PDDD49PfepTMWTIkKipaX6R+FmzZhU0FQAAAAAAAAAAAACQGkF5AbbddtuiRwAAAAAAAAAAAAAAiJoPPgQAAAAAAAAAAAAAgGokKAcAAAAAAAAAAAAASJSgHAAAAAAAAAAAAAAgUYJyAAAAAAAAAAAAAIBECcoBAAAAAAAAAAAAABIlKAcAAAAAAAAAAAAASFRt0QNQvPnz58eCBQta9JiZM2e20TQAAAAAAAAAAAAAQLkIyonLL788xo0bV/QYAAAAAAAAAAAAAECZ1RQ9AAAAAAAAAAAAAAAAxRCUAwAAAAAAAAAAAAAkqrboASje2LFjY/To0S16zMyZM2PUqFFtMxAAAAAAAAAAAAAAUBaCcqK+vj7q6+uLHgMAAAAAAAAAAAAAKLOaogcAAAAAAAAAAAAAAKAYgnIAAAAAAAAAAAAAgEQJygEAAAAAAAAAAAAAEiUoBwAAAAAAAAAAAABIlKAcAAAAAAAAAAAAACBRgnIAAAAAAAAAAAAAgEQJygEAAAAAAAAAAAAAEiUoBwAAAAAAAAAAAABIVG3RA6TqwQcfjJUrV75j/5NPPtlse9WqVXHPPfe86zn69+8fO+ywQ5vMBwAAAAAAAAAAAABUP0F5QT7/+c/Hiy+++IHHvfrqq3HQQQe9630nnXRSXHvtta08GQAAAAAAAAAAAACQipqiBwAAAAAAAAAAAAAAoBiCcgAAAAAAAAAAAACARNUWPUCqZs+eXfQIAAAAAAAAAAAAAEDiXKEcAAAAAAAAAAAAACBRgnIAAAAAAAAAAAAAgEQJygEAAAAAAAAAAAAAEiUoBwAAAAAAAAAAAABIlKAcAAAAAAAAAAAAACBRgnIAAAAAAAAAAAAAgEQJygEAAAAAAAAAAAAAEiUoBwAAAAAAAAAAAABIlKAcAAAAAAAAAAAAACBRgnIAAAAAAAAAAAAAgEQJygEAAAAAAAAAAAAAEiUoBwAAAAAAAAAAAABIlKAcAAAAAAAAAAAAACBRgnIAAAAAAAAAAAAAgEQJygEAAAAAAAAAAAAAEiUoBwAAAAAAAAAAAABIlKAcAAAAAAAAAAAAACBRgnIAAAAAAAAAAAAAgEQJygEAAAAAAAAAAAAAEiUoBwAAAAAAAAAAAABIlKAcAAAAAAAAAAAAACBRgnIAAAAAAAAAAAAAgEQJygEAAAAAAAAAAAAAEiUoBwAAAAAAAAAAAABIlKAcAAAAAAAAAAAAACBRgnIAAAAAAAAAAAAAgEQJygEAAAAAAAAAAAAAEiUoBwAAAAAAAAAAAABIlKAcAAAAAAAAAAAAACBRgnIAAAAAAAAAAAAAgEQJygEAAAAAAAAAAAAAEiUoBwAAAAAAAAAAAABIlKAcAAAAAAAAAAAAACBRgnIAAAAAAAAAAAAAgEQJygEAAAAAAAAAAAAAEiUoBwAAAAAAAAAAAABIlKAcAAAAAAAAAAAAACBRgnIAAAAAAAAAAAAAgEQJygEAAAAAAAAAAAAAEiUoBwAAAAAAAAAAAABIlKAcAAAAAAAAAAAAACBRtUUPABRn/avzix4B3t3y5UVP0LY8PyhEU9EDAPCBvFe3nnVFD1BlfG8C1cB7WevyerKhfK+0rnK/nr5+kIamcv+7hn9HAapANfcmTbO8T7cmr2crq+KfPWiJan1vWZ8vK3R9VygHAAAAAAAAAAAAAEiUoBwAAAAAAAAAAAAAIFGCcgAAAAAAAAAAAACARAnKAQAAAAAAAAAAAAASJSgHAAAAAAAAAAAAAEiUoBwAAAAAAAAAAAAAIFGCcgAAAAAAAAAAAACARAnKAQAAAAAAAAAAAAASJSgHAAAAAAAAAAAAAEiUoBwAAAAAAAAAAAAAIFGCcgAAAAAAAAAAAACARAnKAQAAAAAAAAAAAAASJSgHAAAAAAAAAAAAAEiUoBwAAAAAAAAAAAAAIFGCcgAAAAAAAAAAAACARAnKAQAAAAAAAAAAAAASJSgHAAAAAAAAAAAAAEiUoBwAAAAAAAAAAAAAIFGCcgAAAAAAAAAAAACARAnKAQAAAAAAAAAAAAASJSgHAAAAAAAAAAAAAEiUoBwAAAAAAAAAAAAAIFGCcgAAAAAAAAAAAACARAnKAQAAAAAAAAAAAAASJSgHAAAAAAAAAAAAAEiUoBwAAAAAAAAAAAAAIFGCcgAAAAAAAAAAAACARAnKAQAAAAAAAAAAAAASJSgHAAAAAAAAAAAAAEiUoBwAAAAAAAAAAAAAIFGCcgAAAAAAAAAAAACARAnKAQAAAAAAAAAAAAASJSgHAAAAAAAAAAAAAEiUoBwAAAAAAAAAAAAAIFGCcgAAAAAAAAAAAACARAnKAQAAAAAAAAAAAAASJSgHAAAAAAAAAAAAAEiUoBwAAAAAAAAAAAAAIFGCcgAAAAAAAAAAAACARAnKAQAAAAAAAAAAAAASVVv0ADT3/PPPx9SpU2Pu3LmxZs2a6N27dwwZMiSGDx8enTt3Lno8AAAAAAAAAAAAAKCKCMrbiYkTJ8YFF1wQjz322Lve37179xgzZkyce+650adPnzJPBwAAAAAAAAAAAABUo5qiB0jd6tWr44QTToijjjrqPWPyiIjXX389fvnLX8YOO+wQf//738s4IQAAAAAAAAAAAABQrQTlBWpqaorjjjsubrjhhmb7O3ToEIMGDYrddtstevXq1ey+BQsWxCGHHBL/+Mc/yjkqAAAAAAAAAAAAAFCFBOUF+slPfhK33nprs31f/epXY86cOfHCCy/E448/HosXL44//elPsdVWW5WOWbFiRRx77LGxbNmyco8MAAAAAAAAAAAAAFQRQXlBFi1aFD/84Q+b7Rs/fnxcccUV0b9//9K+mpqaOOqoo+Khhx6KrbfeurR/7ty5cfHFF5drXAAAAAAAAAAAAACgCgnKC/LjH/84GhsbS9sjRoyIs8466z2PHzBgQFx55ZXN9l1yySWxaNGiNpsRAAAAAAAAAAAAAKhugvICNDU1xTXXXNNs33nnnRdZlr3v4w488MDYd999S9uNjY0xYcKENpkRAAAAAAAAAAAAAKh+gvICPPTQQ7FgwYLS9jbbbBP777//Bj325JNPbrY9ceLEVpwMAAAAAAAAAAAAAEiJoLwAd9xxR7Ptgw466AOvTv7WY9/qvvvui+XLl7fabAAAAAAAAAAAAABAOgTlBXjiiSeabQ8fPnyDH9u/f//YeuutS9tr1qyJZ599tpUmAwAAAAAAAAAAAABSIigvwPTp05tt77DDDi16/NuPf/v5AAAAAAAAAAAAAAA2hKC8zFauXBlz5sxptm/LLbds0Tnefvxzzz230XMBAAAAAAAAAAAAAOkRlJfZwoULI8/z0nbHjh2jvr6+RecYMGBAs+358+e3ymwAAAAAAAAAAAAAQFpqix4gNa+//nqz7a5du0aWZS06R7du3d73nC01f/78WLBgQYseM3PmzI1aEwAAAAAAAAAAAAAonqC8zN4ef3fu3LnF5+jSpcv7nrOlLr/88hg3btxGnQMAAAAAAAAAAAAAqDw1RQ+QmlWrVjXb7tSpU4vPsckmmzTbXrly5UbNBAAAAAAAAAAAAACkSVBeZm+/IvmaNWtafI7Vq1e/7zkBAAAAAAAAAAAAADZEbdEDpKZ79+7Ntt9+xfIN8fYrkr/9nC01duzYGD16dIseM3PmzBg1atRGrQsAAAAAAAAAAAAAFEtQXmZvj79XrFgReZ5HlmUbfI7ly5e/7zlbqr6+Purr6zfqHAAAAAAAAAAAAABA5akpeoDU9OnTp1k8vnbt2pg/f36LzjFv3rxm22JwAAAAAAAAAAAAAODDEJSXWZcuXWKrrbZqtm/OnDktOsfbjx8yZMhGzwUAAAAAAAAAAAAApEdQXoC3B+DPPvtsix4/ffr09z0fAAAAAAAAAAAAAMCGEJQXYLfddmu2/dBDD23wY19++eWYPXt2abtjx46xww47tNJkAAAAAAAAAAAAAEBKBOUFOOyww5pt33PPPZHn+QY99q677mq2fcABB0T37t1bbTYAAAAAAAAAAAAAIB2C8gIMHz48+vTpU9p+4YUX4r777tugx1511VXNto888sjWHA0AAAAAAAAAAAAASIigvAA1NTUxZsyYZvvGjRv3gVcp/9vf/hYPPPBAabtHjx5x7LHHtsWIAAAAAAAAAAAAAEACBOUFOeuss6J79+6l7fvvvz8uuuii9zx+3rx58eUvf7nZvtNOO63Zlc4BAAAAAAAAAAAAAFpCUF6QPn36xHe/+91m+77zne/E2LFj46WXXirta2pqiokTJ8bw4cNj9uzZpf39+/eP//f//l+5xgUAAAAAAAAAAAAAqpCgvEBnnXVWHHbYYc32XXHFFbHVVlvFtttuG7vvvntsttlmcdRRR8WcOXNKx3Tp0iUmTJgQdXV1ZZ4YAAAAAAAAAAAAAKgmgvIC1dTUxB/+8If47Gc/22z/+vXr44UXXojHH388li5d2uy+zTbbLO68887Ye++9yzgpAAAAAAAAAAAAAFCNBOUF69y5c9x4441xyy23xG677faex3Xr1i3Gjh0bzz77bOy///5lmw8AAAAAAAAAAAAAqF61RQ/AG44++ug4+uijY+bMmTFlypSYN29erFmzJurq6mLo0KGx9957R+fOnYseEwAAAAAAAAAAAACoIoLydma77baL7bbbrugxAAAAAAAAAAAAAIAE1BQ9AAAAAAAAAAAAAAAAxRCUAwAAAAAAAAAAAAAkSlAOAAAAAAAAAAAAAJAoQTkAAAAAAAAAAAAAQKIE5QAAAAAAAAAAAAAAiRKUAwAAAAAAAAAAAAAkSlAOAAAAAAAAAAAAAJAoQTkAAAAAAAAAAAAAQKIE5QAAAAAAAAAAAAAAiRKUAwAAAAAAAAAAAAAkSlAOAAAAAAAAAAAAAJAoQTkAAAAAAAAAAAAAQKIE5QAAAAAAAAAAAAAAiRKUAwAAAAAAAAAAAAAkSlAOAAAAAAAAAAAAAJAoQTkAAAAAAAAAAAAAQKIE5QAAAAAAAAAAAAAAiRKUAwAAAAAAAAAAAAAkSlAOAAAAAAAAAAAAAJAoQTkAAAAAAAAAAAAAQKIE5QAAAAAAAAAAAAAAiRKUAwAAAAAAAAAAAAAkSlAOAAAAAAAAAAAAAJAoQTkAAAAAAAAAAAAAQKIE5QAAAAAAAAAAAAAAiRKUAwAAAAAAAAAAAAAkSlAOAAAAAAAAAAAAAJAoQTkAAAAAAAAAAAAAQKIE5QAAAAAAAAAAAAAAiRKUAwAAAAAAAAAAAAAkSlAOAAAAAAAAAAAAAJAoQTkAAAAAAAAAAAAAQKIE5QAAAAAAAAAAAAAAiRKUAwAAAAAAAAAAAAAkSlAOAAAAAAAAAAAAAJAoQTkAAAAAAAAAAAAAQKIE5QAAAAAAAAAAAAAAiRKUAwAAAAAAAAAAAAAkqrboAahMq1evbra9Il6PyAsaBgAAAAAAAAAAAAAq1Ip4vdn22zvdtiYo50NpaGhotv3P+EdBkwAAAAAAAAAAAABA9WhoaIjdd9+9bOvVlG0lAAAAAAAAAAAAAADaFUE5AAAAAAAAAAAAAECisjzP86KHoPIsXbo07r///tL2lltuGZtssskHPm7mzJkxatSo0vbEiRNju+22a4sRAQA2is8tAECl8LkFAKgUPrcAAJXC5xYAoNxWr14dDQ0Npe399tsv6urqyrZ+bdlWoqrU1dXFkUceudHn2W677WLHHXdshYkAANqWzy0AQKXwuQUAqBQ+twAAlcLnFgCgHHbffffC1q4pbGUAAAAAAAAAAAAAAAolKAcAAAAAAAAAAAAASJSgHAAAAAAAAAAAAAAgUYJyAAAAAAAAAAAAAIBECcoBAAAAAAAAAAAAABIlKAcAAAAAAAAAAAAASJSgHAAAAAAAAAAAAAAgUYJyAAAAAAAAAAAAAIBECcoBAAAAAAAAAAAAABIlKAcAAAAAAAAAAAAASJSgHAAAAAAAAAAAAAAgUbVFD0Ba+vbtG+eee26zbQCA9sjnFgCgUvjcAgBUCp9bAIBK4XMLAJCaLM/zvOghAAAAAAAAAAAAAAAov5qiBwAAAAAAAAAAAAAAoBiCcgAAAAAAAAAAAACARAnKAQAAAAAAAAAAAAASJSgHAAAAAAAAAAAAAEiUoBwAAAAAAAAAAAAAIFGCcgAAAAAAAAAAAACARAnKAQAAAAAAAAAAAAASJSgHAAAAAAAAAAAAAEiUoBwAAAAAAAAAAAAAIFGCcgAAAAAAAAAAAACARAnKAQAAAAAAAAAAAAASJSgHAAAAAAAAAAAAAEiUoBwAAAAAAAAAAAAAIFG1RQ9AWp5//vmYOnVqzJ07N9asWRO9e/eOIUOGxPDhw6Nz585FjwcAVIk8z2P27Nnx1FNPxdy5c2Pp0qWxySabRO/evWP77bePvfbaq9U/ezQ2NsaDDz4Y//rXv+K1116LLl26xMCBA2P48OHRv3//Vl0LAODDWrVqVTz00EMxY8aMWLJkSXTq1Ck+8pGPxMc+9rHYZpttih4PAKhAzz33XDz55JMxd+7cWLFiRXTp0iX69esXH/3oR2PXXXeNTTbZ5EOf22cXAGBjrV69Oh5//PGYPn16LFmyJFauXBk9e/aM+vr62H333WO77baLLMs2ep1169bFlClT4umnn45FixZFhw4dYosttog99tgjdtxxx1Z4JgAAbUtQTllMnDgxLrjggnjsscfe9f7u3bvHmDFj4txzz40+ffqUeToAoBosWbIkJk6cGH/5y1/i3nvvjYULF77nsR07doyRI0fG6aefHvvtt99GrTtr1qw455xzYsKECbFmzZp33J9lWey3334xbty4GDFixEatBQCk5fjjj4+bbrqp2b6BAwfG7NmzW3yuBQsWxLhx4+Laa6+N5cuXv+sxe+yxR5x99tlx5JFHfphxAYCENDY2xqWXXhpXXnllzJo16z2P69SpUwwbNiyOOeaYOO200zb4/D67AAAb69FHH41LLrkkbrnllli9evV7HjdgwIA4+eST47TTTotNN920xeu8/vrrceGFF8YVV1wRixcvftdjBg8eHGeddVaMGTOmVeJ1AIC2kOV5nhc9BNVr9erVcfLJJ8cNN9ywQcf37ds3brnlFrEVANAip556alx55ZXvGnR/kC984Qtx6aWXRs+ePVv82AkTJsQXv/jFWLFixQcem2VZnHnmmTF+/Hi/LAQAPtBtt90WRxxxxDv2f5ig/L777ovRo0e/7//h7q2+8IUvxG9+85vo1KlTi9YBANJw++23x5e//OV49dVXN/gx/fr1i1deeWWDjvXZBQD+v/buPKrqOv/j+ItVQBLcyQUFNLdxNMfouOEe5TpjmcU0haGpzNh4cim1afJM45JOmk3NpKljm5aGS9omIppjGZm5wVAgbrhgbAmBgJffH53uz++9F7iXe7HkPh/ncI7vz/ez3b98n+/3/f184QyTyaR58+Zp6dKlMplMdo9r2bKl/vOf/+juu++2e8yxY8c0duzYal+wu150dLTeeecdBQUF2b0GAADAjUJBOeqMyWTSuHHjtG3bNkO7l5eXQkNDFRQUpKysLBUWFhquBwQEKDExUX369LmR2wUAADex3r1769ChQ1btP31OsGXLliovL9fp06etcg9JioyM1O7duxUYGGj3mps2bdIDDzxgdTOyefPmatu2rXJycpSdnS3LdHvGjBlavny53esAAAD3U1hYqG7duik7O9vqmqMF5fv379ddd92lkpISQ3twcLDCwsKUn5+vs2fP6tq1a4br48aN0+bNm3kRDgAAGCxfvlwzZ860ut/h5+enVq1aqVmzZiopKdGFCxcMBeH2FpSTuwAAAGdNnjxZr732mlV7QECAIiIi5O/vr9zcXJ08edIqp/H19dXWrVt1zz331LhOenq6+vfvb/USXGBgoMLDw1VSUqJTp06pvLzccL1Pnz5KSkqSn59fLX4dAABA3fH8uTeA+mvp0qVWxeRTp07VmTNndPLkSR0+fFh5eXlKSEhQaGiouc8PP/yg+++/32axFwAAQE2Cg4MVHx+vnTt3mh8yfvnllzpy5Ihyc3O1Z88eDRgwwDDmiy++UGxsrN1rZGZmauLEiYZi8h49eigpKUk5OTk6dOiQzp49q7S0NI0bN84wdsWKFUpISHDqNwIAgPpt9uzZ5mLyhg0b1nqe/Px8TZgwwVCQ1a5dO23dulV5eXn66quvlJWVpVOnTmnKlCmGsQkJCbwEBwAADNasWaMnnnjCUHh1zz336MMPP1RBQYEyMzN18OBBHT16VJcvX1Z2drbeeOMN3XvvvXadHk7uAgAAnLV582arYvKuXbtq586dKiws1NGjR3Xw4EFlZGTo0qVLWrBggSFPKSsr0yOPPKL8/Pxq16moqLD6okqTJk20fv165eXl6ciRI/rmm2908eJFzZ8/X56e/1+e9dlnn2nOnDku+sUAAACuwwnlqBO5ubkKCwvTlStXzG2LFi3SU089ZbN/dna2+vfvbzhh65lnntGCBQvqeqsAAKAe6N27t3Jzc/X0008rJiZG/v7+1fa/du2a4uPjtWrVKkN7UlKSBg8eXON6MTEx2rBhgzm+4447lJiYqEaNGln1rays1NSpUw1rRURE6H//+5+8vb1rXAsAALiX5ORkDRkyRJWVlfL09NTixYsNDxkdOaF83rx5WrRokTkOCwvT/v371apVK5v9Fy5cqPnz55vjn74u17hx49r9GAAAUG9kZGSoe/fuKi0tlST5+Pho/fr1evDBB+0an5+fX2NOQe4CAACc1b17dx0/ftwc9+7dW8nJydW+sJ+UlKTo6GhVVFSY2xYuXKi5c+dWOWbVqlWGF9waN26s/fv3q2vXrjb7v/322/r9739vjr29vZWamqqOHTva9bsAAABuBE4oR514/vnnDcXkUVFRevLJJ6vs37p1a6u3RJcvX67c3Nw62yMAAKg/FixYoPT0dMXFxdVYTC5JXl5eeuWVV9S7d29Du61PIFo6ceKE3nnnHXPs6+ur9evX2ywmlyQPDw+9+OKLhpuCmZmZWrduXY1rAQAA91JSUqJJkyaZT/2cPn267rjjjlrNdfnyZb300kuGttWrV1dZkCVJc+fOVVRUlDkuLCzUsmXLarU+AACoXx577DFzMbkkvfXWW3YXk0uqscib3AUAADjr5MmThmJySXrllVdq/PrbkCFDFBcXZ2h7//33q+xfVlam5557ztC2bNmyKovJpR8PKnrooYfMcUVFhZ599tlq9wUAAHCjUVAOlzOZTFYFUs8++6w8PDyqHTd06FANGDDAHF+5ckXvvvtunewRAADULyNHjrTr08nX8/Lysvqk4Mcff1zjuLVr18pkMpnjBx54QF26dKl2jJ+fn9WXWuwpXgcAAO7lL3/5izIzMyVJoaGhVg8nHbFx40YVFRWZ46ioKA0dOrTaMR4eHvrrX/9qaFu7dq34wCEAAO5t27Zt2rNnjzkeP368xo8f79I1yF0AAICz0tPTDXGbNm3sflH/3nvvNcQZGRlV9v3444919uxZc9y+fXtNnDixxjUs62Y2bdqkwsJCu/YHAABwI1BQDpc7cOCALl++bI7Dw8M1aNAgu8ZavvW5detWF+4MAADA6PqX2SQpNzdXP/zwQ7Vjtm/fbogt85eqTJgwwXAKRkpKis6fP2/nTgEAQH2XkpKiFStWmOOXX35ZgYGBtZ5v27ZthtjenGXw4MEKCwszxxcvXtTnn39e630AAICb36pVqwyxZRG3K5C7AAAAZ+Xl5Rnitm3b2j02NDTUEBcUFFTZ1zJvmThxYo0HLEpSRESEBg4caI7Ly8v1wQcf2L1HAACAukZBOVxu586dhnj48OF2Jc8/9b1ecnKyiouLXbY3AACA69n63HJ1p0Gkp6cbTqVo2LCh+vbta9daln0rKyut8iYAAOCeysvLFRcXp2vXrkn68dTPUaNG1Xq+oqIi7du3z9B211132TXWw8NDw4YNM7Tt2LGj1nsBAAA3t+zsbMMX3Xr27Klu3bq5dA1yFwAA4ApBQUGGuKSkxO6xln2bNWtWZV/LZzv25i2SdU0MeQsAAPgloaAcLvf1118bYnuLrCSpVatWat++vTkuKytTamqqi3YGAABglJ2dbdXWtGnTKvtb5jmRkZHy9va2e71+/fpVOx8AAHBPixYt0rFjxyRJwcHBWrlypVPznThxQuXl5eY4LCxMISEhdo8nZwEAAD/56KOPzC+9ST+eCO5q5C4AAMAVevbsaYjT0tLsPsDwiy++MMSRkZE2+126dEkXL140xw0aNFCvXr3s3iN5CwAA+CWjoBwul5aWZoi7du3q0HjL/pbzAQAAuMqnn35qiNu1aydfX98q+5PnAAAAV0tNTdXf//53c7xkyRKHCqhsIWcBAACukpKSYoh79Ohh/vfhw4f1+OOPq0ePHmrcuLECAgLUvn17DR8+XMuWLbP5Ir8t5C4AAMAV2rRpYzjw8OrVq3a9tH/16lWtWLHC0BYXF2ezr2We0aFDh2qfK1myzFsyMjJUUVFh93gAAIC6REE5XKqkpERnzpwxtLVt29ahOSz7p6enO70vAAAAW9auXWuIR4wYUW1/y7yEPAcAADjDZDIpLi5OZWVlkqQBAwZo8uTJTs/r6pzl9OnTKi0tdXpfAADg5mNZUB4eHq6ioiLFxcWpV69eeumll3T06FEVFBSopKREp0+fVmJiombPnq2OHTtq3rx5htPHbSF3AQAArrJkyRJ5ev5/KdQzzzyj9evXV9m/oKBA9913n6FQfPTo0Ro9erTN/s7mLc2bN5efn585LisrU1ZWlkNzAAAA1BUKyuFS3333nSorK82xj4+PWrRo4dAcrVu3NsQ5OTku2RsAAMD1PvjgA+3bt8/QFhsbW+0Yy7ykTZs2Dq1pmedcvnzZofEAAKB+WblypT7//HNJkq+vr1atWiUPDw+n53U2Z2nZsqW8vb3NsclkUm5urtP7AgAAN5+MjAxD7OnpqaioKKuX9G0pKSnRokWLNGLECF25cqXKfuQuAADAVfr3769//vOf5vsrFRUVio2NVWRkpBYvXqwtW7boo48+0ptvvqnp06crIiJCO3bsMI8fPny4NmzYUOX8zuYtktSqVatq5wQAAPi5eNfcBbBfUVGRIQ4ICHD4QWjDhg2rnRMAAMBZeXl5mjJliqHtt7/9rSIjI6sdZ5mXWOYtNbHsX15erqtXr6pBgwYOzQMAAG5+WVlZevrpp83x3Llz1blzZ5fM7WzO4uHhIX9/f0PhF/dnAABwPyaTyaoQ/PHHH9fhw4cl/ZgzjBo1SiNGjFCbNm1UXFysw4cP64033tD58+fNYxITExUbG6v33nvP5jrkLgAAwJWmTZumTp066fHHH9eJEyck/fjVFcsvr1wvPDxcc+bM0eTJkw0nnFtyNm+xNYa8BQAA/FJwQjlcyjLRvf5TPfby9/evdk4AAABnmEwmPfTQQzp37py5LSgoSCtXrqxxrLO5jmWeY2tOAADgHh577DEVFxdLkjp37qx58+a5bG7uzwAAAFcoLCw0fJVWkr766itJUtOmTbV3715t375dU6dO1ahRozRhwgQtXrxY6enpiomJMYxLSEjQ66+/bnMdchcAAOBqQ4YMUUpKimbNmiUvL69q+4aGhmrWrFmKiYmptphcIm8BAAD1GwXlcKnS0lJD7Ovr6/Aclid0lpSUOLUnAACA682ePVsffvihoe3VV19V27ZtaxzrbK5j6yRych0AANzPmjVrlJiYKOnHEzVXrVpVq3soVeH+DAAAcIWqipu8vLy0c+dODRgwwOb1wMBAvfHGG7rrrrsM7QsXLrQqUJfIXQAAgOv9+9//VkREhJYtW6Zr165V2/fMmTOKj49X+/bttXbt2mr7krcAAID6jIJyuJTl25dlZWUOz3H16tVq5wQAAKitlStX6oUXXjC0zZkzRxMmTLBrvLO5jmWeY2tOAABQv124cEGzZs0yx5MmTaqyGKu2uD8DAABcoar//ydNmqQ777yz2rGenp7617/+ZTjlMz09XXv37q1xHXIXAABQW+Xl5brvvvs0bdo0XbhwQZLUpEkTPfPMM/riiy+Un5+vsrIynT9/Xtu3b9fvfvc7eXh4SJLy8vIUFxen2bNnVzk/eQsAAKjPKCiHSwUGBhpiy7cz7WH59qXlnAAAALXx9ttva8aMGYa22NhYLV682O45nM11bJ0yQa4DAIB7+eMf/6iCggJJUkhIiJ5//nmXr8H9GQAA4ApV/f8/efJku8aHh4dr2LBhhjZbBeXkLgAAwFWmTZum9957zxxHRkbqxIkTWrBgge644w4FBwfLx8dHt956q0aPHq2EhARt3brVUNS9bNkyrVu3zub85C0AAKA+o6AcLmWZ6P7www82P19YneLi4mrnBAAAcNSOHTv0yCOPGPKScePG6bXXXjOfPGEPy7zEMm+piWV/b29vTp4AAMCNbNq0SVu2bDHHL774ooKDg12+jrM5S2VlJQ83AQCA/P395eXlZWi75ZZbdPvtt9s9x8CBAw3xl19+adWH3AUAALhCcnKy1qxZY45btGihHTt2KCQkpNpxY8aM0csvv2xomz17tl2HBDmat9gaQ94CAAB+KSgoh0s1a9bMUJRVXl6unJwch+bIzs42xC1atHDJ3gAAgHvas2ePxo8fr4qKCnPb8OHDtWHDBquHojWxzEvOnTvn0HjLPKd58+YOjQcAADe36z+ZPHLkSN1///11so6zOculS5cMuZOnp6eaNWvmkr0BAICbi2Ve0aFDB3l62v94sVOnTobY1jMjchcAAOAKK1euNMQzZsyw+zlMbGysbrvtNnOcm5urhIQEq37O5i2SdP78+WrnBAAA+LlQUA6X8vf3V2hoqKHtzJkzDs1h2b9z585O7wsAALingwcPasyYMYZPDvbt21dbtmyRr6+vw/NZPgQlzwEAAI4oKCgw/3vnzp3y8PCo8W/w4MGGOU6fPm3V5+uvvzb0cXXO0q5dO76qAgCAm+rSpYshbtSokUPjLfvn5+db9SF3AQAAzqqsrFRSUpKhbfTo0XaP9/T01MiRIw1t+/bts+rnbN6Sk5NjeGbl6+ur8PBwh+YAAACoKxSUw+UsC6NSU1MdGp+WllbtfAAAAPY4evSo7rnnHhUVFZnbbr/9dn3wwQdq2LBhreYkzwEAADcDchYAAOAqXbt2NcRXr151aPz1BVOSFBAQYNWH3AUAADgrPz9fhYWFhrawsDCH5rDsb/nVWck6z8jMzFRZWZnda1jmLREREfL29nZglwAAAHWHgnK4XM+ePQ3xgQMH7B574cIFnTp1yhz7+PhY3awEAACoSXp6uoYPH2449apLly76+OOPFRQUVOt5LfOclJQUwyeVa/Lf//632vkAAABcoVu3bvLx8THHp06d0oULF+weT84CAAB+0qtXL0N86dIlh8bn5OQY4qZNm1r1IXcBAADOsvXSm6OF2tfnI5J07do1qz4hISEKCQkxrHvo0CG71yBvAQAAv2S85gaXGzVqlJYsWWKOExMTVVlZKQ8PjxrHfvLJJ4Z48ODBCgwMdPkeAQBA/XX69GkNGzbM8MAyLCxMu3btUvPmzZ2au3PnzoqIiFBmZqYkqbi4WAcOHFBUVFSNY4uLi/XZZ5+ZYw8PD40aNcqp/QAAgJvLtm3bVF5e7tCYI0eOaNasWea4ZcuWevPNNw19OnToYIhvueUWRUVFaffu3ea2Xbt26eGHH65xvcrKSiUmJhraHPlENAAAqF9GjhwpT09PmUwmSVJWVpby8vLUpEkTu8ZbFlh16tTJqg+5CwAAcJatl9bOnz/v0CnllieSV/VMaeTIkVqzZo053rVrl/r06WPXGrt27TLE5C0AAOCXhBPK4XJ9+/ZVs2bNzPHJkyeVnJxs19jrk25JGjt2rCu3BgAA6rkLFy5o6NChOnfunLmtdevW2r17t1q3bu2SNcaMGWOILfOXqrzzzjsqKioyx71791arVq1csicAAHBzGDhwoIYNG+bQ329+8xvDHH5+flZ9bL2MX9ucZc+ePcrKyjLHLVu21J133lmLXwsAAOqDFi1aqF+/foa2hIQEu8ZWVFRoy5YthrZBgwbZ7EvuAgAAnOHr66tbb73V0JaUlOTQHNe/3CZJERERNvtZ5i3r1q1TZWVljfNnZmZq79695tjHx0cjRoxwaI8AAAB1iYJyuJynp6diY2MNbQsWLKgxgd69e7c+/fRTc3zLLbfo/vvvr4stAgCAeigvL0/Dhw83nx4u/Xh6xK5duxw6gaImjz76qOHLKxs3blRaWlq1Y0pLS7V48WJDW1xcnMv2BAAAYOmBBx5Qw4YNzfG+fftqfJBaWVmpBQsWGNomTpwoT09uIQIA4M6mTJliiJcuXaqrV6/WOG716tW6ePGiOW7UqJGio6Nt9iV3AQAAzho6dKghXrFihSoqKuwau3fvXsNXZm3N95Po6Gi1adPGHJ86dUrr1q2rcY1nn33WUDdz7733KigoyK79AQAA3AjcUUGdePLJJw2nY+3du1dLliypsn92drYmTZpkaPvzn/9sOOkcAACgKleuXNHdd9+tEydOmNuCg4P1ySefqEuXLi5d61e/+pXhpbeysjI98sgj+v777232r6ys1IwZM/Ttt9+a28LDw/Xoo4+6dF8AAADXa9Gihf70pz8Z2iZNmqTz589XOWbRokXat2+fOQ4KCtLs2bPrbI8AAODm8OCDD6p79+7m+JtvvtGUKVNkMpmqHHPw4EHNmTPH0BYfH19l0RS5CwAAcNZDDz1kiI8fP674+PhqcxZJysjIUExMjKGtY8eO6tOnj83+DRo00Pz58w1ts2bNUmpqapVrvP3223rzzTfNsZeXl9WLcQAAAD83CspRJ5o1a6Z58+YZ2ubOnav4+HjDzT+TyaStW7eqb9++OnXqlLm9VatWmjlz5o3aLgAAuMmNGTNGKSkphrYnnnhC3333nRITEx36y8/Pr3G95557TgEBAeY4JSVFUVFRSk5ONvT75ptvdN999+nVV181tC9evFg+Pj61/8EAAAB2mDNnjkJCQsxxVlaW+vbtq+3btxtOxDp37pymTp1q9TB0/vz5atKkyQ3bLwAA+GXy9PTU8uXLDV9sW79+vaKjo3Xo0CFD38LCQr3wwgsaNmyYioqKzO233Xab1XMjS+QuAADAGdHR0Ro8eLChbfXq1Ro4cKB2795tdVp5bm6u/vGPf6h3795WL7EtXLhQXl5eVa4VFxenbt26meP8/HwNGDBAr7/+umGdvLw8/eUvf9Ef/vAHw/gpU6botttuc/g3AgAA1CWPyuvvwAAuZDKZNHbsWO3YscPQ7uXlpXbt2ikoKEhZWVkqKCgwXPf399euXbvUr1+/G7hbAABwM7v+gaaz9uzZo0GDBtXYb+PGjYqJiZFlOt28eXOFhoYqJydH586ds7o+ffp0rVy50mX7BQAA9VtycrLhYWi7du0ML+XXZN++fYqOjlZpaamhPTg4WGFhYSooKNCZM2d07do1w/WxY8dqy5YtLs2zAADAzW3JkiV66qmnrNpDQkLUpk0bFRcXKzMzU2VlZYbrTZs21Z49ewynnFeF3AUAADjj4sWL6tu3r7KysqyuBQYGKiwsTP7+/srNzdXJkyetnuFI0syZM7Vs2bIa10pLS1P//v2Vl5dntU5ERIRKSkqUlZWl8vJyw/XIyEglJyfL39/fwV8HAABQtygoR50qLS3VxIkTtXHjRrv6N23aVJs3b7ariAsAAOAnP0dBuSRt2LBBcXFxKikpsav/rFmz9Pzzz/NwEwAA2M3ZgnJJSkpK0vjx460ecFYlJiZGa9euVYMGDRxaBwAA1H8vvfSSZs6caVUYVZVOnTrp/fffV8eOHe1eg9wFAAA44+zZs3r44YetvipbEx8fH/3tb3/TnDlz7H6Oc+TIEY0dO1anT5+2q/+wYcO0adMmBQcHO7Q3AACAG8Hz594A6jc/Pz9t2LBBmzdvVs+ePavs17BhQ8XHxys1NZVicgAAcNN48MEHdfz4ccXExMjHx6fKflFRUUpOTtbSpUspJgcAADfckCFDlJqaqmnTpikgIKDKfrfffrvee+89vfXWWxRkAQAAm6ZPn66jR49qwoQJ1d4LCQsL04svvqijR486VEwukbsAAADntG3bVrt379a7776rQYMGydOz+tKooKAgTZs2TceOHdOTTz7p0HOcHj166NixY5o7d64aN25cZb+OHTtq9erV+uSTTygmBwAAv1icUI4bKiMjQwcPHlR2drbKysoUHBysLl26qF+/fvLz8/u5twcAAFBr33//vfbv369vv/1WV65ckZ+fn0JDQ9WvXz+1bt36594eAACAJKmkpEQHDhxQWlqaCgoK5Ovrq9atW+vOO+9Uhw4dfu7tAQCAm8j333+vAwcO6Ntvv1VhYaECAwPVsmVL9erVS506dXLJGuQuAADAWVeuXNGXX36pkydPqqCgQKWlpWrUqJGaNm2qX//61+ratWuNRef2KC8v18GDB3X8+HHl5ubKy8tLt956q3r16qXu3bu74JcAAADULQrKAQAAAAAAAAAAAAAAAAAAAMBNOf+KHQAAAAAAAAAAAAAAAAAAAADgpkRBOQAAAAAAAAAAAAAAAAAAAAC4KQrKAQAAAAAAAAAAAAAAAAAAAMBNUVAOAAAAAAAAAAAAAAAAAAAAAG6KgnIAAAAAAAAAAAAAAAAAAAAAcFMUlAMAAAAAAAAAAAAAAAAAAACAm6KgHAAAAAAAAAAAAAAAAAAAAADcFAXlAAAAAAAAAAAAAAAAAAAAAOCmKCgHAAAAAAAAAAAAAAAAAAAAADdFQTkAAAAAAAAAAAAAAAAAAAAAuCkKygEAAAAAAAAAAAAAAAAAAADATVFQDgAAAAAAAAAAAAAAAAAAAABuioJyAAAAAAAAAAAAAAAAAAAAAHBTFJQDAAAAAAAAAAAAAAAAAAAAgJuioBwAAAAAAAAAAAAAAAAAAAAA3BQF5QAAAAAAAAAAAAAAAAAAAADgpigoBwAAAAAAAAAAAAAAAAAAAAA3RUE5AAAAAAAAAAAAAAAAAAAAALgpCsoBAAAAAAAAAAAAAAAAAAAAwE1RUA4AAAAAAAAAAAAAAAAAAAAAboqCcgAAAAAAAAAAAAAAAAAAAABwUxSUAwAAAAAAAAAAAAAAAAAAAICboqAcAAAAAAAAAAAAAAAAAAAAANwUBeUAAAAAAAAAAAAAAAAAAAAA4KYoKAcAAAAAAAAAAAAAAAAAAAAAN0VBOQAAAAAAAAAAAAAAAAAAAAC4KQrKAQAAAAAAAAAAAAAAAAAAAMBNUVAOAAAAAAAAAAAAAAAAAAAAAG6KgnIAAAAAAAAAAAAAAAAAAAAAcFMUlAMAAAAAAAAAAAAAAAAAAACAm6KgHAAAAAAAAAAAAAAAAAAAAADcFAXlAAAAAAAAAAAAAAAAAAAAAOCmKCgHAAAAAAAAAAAAAAAAAAAAADdFQTkAAAAAAAAAAAAAAAAAAAAAuCkKygEAAAAAAAAAAAAAAAAAAADATVFQDgAAAAAAAAAAAAAAAAAAAABuioJyAAAAAAAAAAAAAAAAAAAAAHBT/werz0r0XHrOVAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 3600x1200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 3600x1200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 3600x1200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# - Plot some internal state variables\n",
    "plt.figure()\n",
    "plt.imshow(r_d['Spikes'].T, aspect = 'auto', origin = 'lower')\n",
    "plt.title('Hidden spikes')\n",
    "plt.ylabel('Channel')\n",
    "\n",
    "plt.figure()\n",
    "TSContinuous(r_d['times'], r_d['Isyn'], name = 'Hidden synaptic currents').plot(stagger = 127)\n",
    "\n",
    "plt.figure()\n",
    "TSContinuous(r_d['times'], r_d['Vmem'], name = 'Hidden membrane potentials').plot(stagger = 127);"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "feeed942",
   "metadata": {},
   "source": [
    "### Step 3: Simulate the HDK using the `XyloSim` bit-precise simulator"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "b0c832f3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">XyloSim  with shape <span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">8</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span><span style=\"font-weight: bold\">)</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "XyloSim  with shape \u001b[1m(\u001b[0m\u001b[1;36m2\u001b[0m, \u001b[1;36m8\u001b[0m, \u001b[1;36m2\u001b[0m\u001b[1m)\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# - Configure the simulator with the HW network config\n",
    "# - For XyloAudio 2\n",
    "if xylo_board_name == 'XyloAudio2':\n",
    "    modSim = xa2.XyloSim.from_config(config, dt=dt)\n",
    "# - For XyloAudio 3\n",
    "elif xylo_board_name == 'XyloAudio3':\n",
    "    modSim = xa3.XyloSim.from_config(config, dt=dt)\n",
    "\n",
    "print(modSim)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "ada09094",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">dict_keys</span><span style=\"font-weight: bold\">([</span><span style=\"color: #008000; text-decoration-color: #008000\">'Vmem'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'Isyn'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'Spikes'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'Vmem_out'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'Isyn_out'</span><span style=\"font-weight: bold\">])</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1;35mdict_keys\u001b[0m\u001b[1m(\u001b[0m\u001b[1m[\u001b[0m\u001b[32m'Vmem'\u001b[0m, \u001b[32m'Isyn'\u001b[0m, \u001b[32m'Spikes'\u001b[0m, \u001b[32m'Vmem_out'\u001b[0m, \u001b[32m'Isyn_out'\u001b[0m\u001b[1m]\u001b[0m\u001b[1m)\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# - Evolve the input over the network, in simulation\n",
    "out, _, r_d = modSim(input_spikes, record = True)\n",
    "\n",
    "# - Show the internal state variables recorded \n",
    "del modSim\n",
    "print(r_d.keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "984ebd64",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 3600x1200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 3600x1200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 3600x1200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# - Plot some internal state variables\n",
    "plt.figure()\n",
    "plt.imshow(r_d['Spikes'].T, aspect = 'auto', origin = 'lower')\n",
    "plt.title('Hidden spikes')\n",
    "plt.ylabel('Channel')\n",
    "\n",
    "plt.figure()\n",
    "TSContinuous.from_clocked(r_d['Isyn'], dt, name = 'Hidden synaptic currents').plot(stagger = 127);\n",
    "\n",
    "plt.figure()\n",
    "TSContinuous.from_clocked(r_d['Vmem'], dt, name = 'Hidden membrane potentials').plot(stagger = 127);"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "7d83b675",
   "metadata": {},
   "source": [
    "## Part II: Using the XyloAudio audio front-end interface"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ed9f1af8-b2e2-4246-9dc3-9227d3ba4614",
   "metadata": {},
   "source": [
    "> **_Note:_** Audio front-end is only available in Xylo™Audio 2. This step does not applied to Xylo™Audio 3."
   ]
  },
  {
   "cell_type": "raw",
   "id": "e74b3aab",
   "metadata": {
    "raw_mimetype": "text/restructuredtext"
   },
   "source": [
    "\n",
    "The AFE (Audio Front-End) is used to preprocess single-channel audio signals and convert them into spikes.\n",
    "Here the audio signal is input to the AFE by a microphone mounted on the hardware dev kit, or an external differential analog audio signal.\n",
    "The AFE has 16 output channels, and you can adjust its parameters via hyperparameters in the :py:class:`.AFESamna` class.\n",
    "\n",
    "See also the introductory notebook :ref:`/devices/analog-frontend-example.ipynb` .\n",
    "\n",
    ":py:class:`.AFESamna` allows you to access the audio front-end on the dev kit, and record encoded audio either from the on-board microphone or analog audio injected to the dev kit.\n",
    "\n",
    ":py:class:`.AFESamna` also allows a custom config input which is without auto-calibration.\n",
    "If you do not provide a custom config, we highly suggest you set ``auto_calibrate = True`` on instantiation, which helps to mitigate the effects of background and mechanical noise."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "208d95ea",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 17,
     "metadata": {
      "image/png": {
       "width": 400
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image('AFESamna.png', width=400)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "208e8d3e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The connected Xylo HDK contains a XyloAudio 3. Importing `rockpool.devices.xylo.syns65302`\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[</span><span style=\"color: #008000; text-decoration-color: #008000\">'syns65302'</span><span style=\"font-weight: bold\">]</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m[\u001b[0m\u001b[32m'syns65302'\u001b[0m\u001b[1m]\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# - Find and connect to a XyloAudio HDK\n",
    "from rockpool.devices.xylo import find_xylo_hdks\n",
    "xylo_hdk_nodes, modules, versions = find_xylo_hdks()\n",
    "print(versions)\n",
    "\n",
    "hdk = None\n",
    "\n",
    "for version, xylo in zip(versions, xylo_hdk_nodes):\n",
    "    if version == \"syns61201\":\n",
    "        hdk = xylo\n",
    "    if version == \"syns65302\":\n",
    "        hdk = xylo\n",
    "\n",
    "if hdk is None:\n",
    "    assert False, 'This tutorial requires a connected XyloAudio HDK to demonstrate.'\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "e8e2fdbd",
   "metadata": {},
   "outputs": [],
   "source": [
    "# - Set the time resolution and duration to record encoded audio\n",
    "dt = 10e-3\n",
    "timesteps = 1000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "9e452233",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">AFESamna  with shape <span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"font-weight: bold\">)</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "AFESamna  with shape \u001b[1m(\u001b[0m\u001b[1;36m0\u001b[0m, \u001b[1;36m1\u001b[0m\u001b[1m)\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# - Create an AFESamna module, which wraps the AFE on the Xylo A2 HDK\n",
    "#   (stay quiet while this cell is executing)\n",
    "if xylo_board_name == 'XyloAudio2':\n",
    "    mod = xa2.AFESamna(hdk, None, dt=dt, auto_calibrate=True, amplify_level='low', hibernation_mode=False)\n",
    "elif xylo_board_name == 'XyloAudio3':\n",
    "    mod = xa3.AFESamna(hdk, None, dt=dt, auto_calibrate=True, amplify_level='low', hibernation_mode=False)\n",
    "\n",
    "print(mod)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "28b2d332",
   "metadata": {},
   "outputs": [],
   "source": [
    "# - Evolve the module to record encoded real-time audio as events\n",
    "spikes_ts, _, _ = mod(np.zeros([0, timesteps, 0]))\n",
    "del mod"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "56c00b69",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 3600x1200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# - Plot some encoded audio events recorded from the AFE\n",
    "plt.imshow(spikes_ts.T, aspect='auto', interpolation='none')\n",
    "plt.title('#Spikes in AFE output channels')\n",
    "plt.xlabel('Time')\n",
    "plt.ylabel('Channel')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "raw",
   "id": "86d26802",
   "metadata": {
    "raw_mimetype": "text/restructuredtext"
   },
   "source": [
    "You can record encoded audio using the :py:class:`.AFESamna` class, and feed these outputs to the Xylo core for testing using :py:class:`.XyloSamna`.\n",
    "You can also combine the two cores for inference, as shown in the following section."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "78e7b0e3",
   "metadata": {},
   "source": [
    "## Part III: Deploying the AFE and SNN cores in free-running inference mode"
   ]
  },
  {
   "cell_type": "raw",
   "id": "edb4297d",
   "metadata": {
    "raw_mimetype": "text/restructuredtext",
    "vscode": {
     "languageId": "raw"
    }
   },
   "source": [
    "Once you have a complete chip HW specification, you can deploy it to the chip in real-time inference mode using the classes :py:class:`.syns61201.XyloMonitor` or :py:class:`.syns65302.XyloMonitor` for XyloAudio 2 and XyloAudio 3, respectively.\n",
    "In XyloAudio 2, this mode uses the AFE core to preprocess audio signals in real-time and then sends encoded audio to the SNN core for inference.\n",
    "In XyloAudio 3, this mode uses the digital microphone audio signal in real-time and then sends encoded audio to the SNN core for inference.\n",
    "In this mode you only read the output events from the SNN core, without providing input."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "27f4b68f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 23,
     "metadata": {
      "image/png": {
       "width": 400
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image('XyloMonitor.png', width=400)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "b3adf7fd-17e3-4a76-afc5-c81be92a2778",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The connected Xylo HDK contains a XyloAudio 3. Importing `rockpool.devices.xylo.syns65302`\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[&lt;</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff; font-weight: bold\">samna.xyloAudio3.XyloAudio3TestBoard</span><span style=\"color: #000000; text-decoration-color: #000000\"> object at </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x79b255f71630</span><span style=\"font-weight: bold\">&gt;]</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m[\u001b[0m\u001b[1m<\u001b[0m\u001b[1;95msamna.xyloAudio3.XyloAudio3TestBoard\u001b[0m\u001b[39m object at \u001b[0m\u001b[1;36m0x79b255f71630\u001b[0m\u001b[1m>\u001b[0m\u001b[1m]\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# - Find and connect to a XyloAudio HDK\n",
    "xylo_hdk_nodes, modules, versions = find_xylo_hdks()\n",
    "print(xylo_hdk_nodes)\n",
    "\n",
    "hdk = None\n",
    "\n",
    "for version, xylo in zip(versions, xylo_hdk_nodes):\n",
    "    if version == \"syns61201\":\n",
    "        hdk = xylo\n",
    "    # - For XyloAudio 3\n",
    "    if version == \"syns65302\":\n",
    "        hdk = xylo\n",
    "\n",
    "if hdk is None:\n",
    "    assert False, 'This tutorial requires a connected XyloAudio HDK to demonstrate.'\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "9e4b2753",
   "metadata": {},
   "outputs": [],
   "source": [
    "# - Use XyloMonitor to deploy to the HDK\n",
    "output_mode = \"Vmem\"\n",
    "amplify_level = \"low\"\n",
    "hibernation = False\n",
    "DN = True\n",
    "T = 100\n",
    "\n",
    "# - For XyloAudio 2\n",
    "# - For XyloAudio 2 you need to wait 45s until the AFE auto-calibration is done\n",
    "if xylo_board_name == 'XyloAudio2':\n",
    "    modMonitor = xa2.XyloMonitor(hdk, config, dt=dt, output_mode=output_mode, amplify_level=amplify_level, hibernation_mode=hibernation, divisive_norm=DN)\n",
    "\n",
    "# - For XyloAudio 3\n",
    "# - XyloAudio 3 does not have the amplify_level parameter and does not do AFE auto-calibration\n",
    "elif xylo_board_name == 'XyloAudio3':\n",
    "    modMonitor = xa3.XyloMonitor(hdk, config, dt = dt, output_mode=output_mode, hibernation_mode=hibernation, dn_active=DN)\n",
    "\n",
    "# - Perform inference on the Xylo board\n",
    "# - The following line will evolve XyloMonitor for T time steps.\n",
    "# - Keep in mind that this mode is using the microphone as input, hence the output might change according to the ambience noise \n",
    "output, _, _ = modMonitor(input_data=np.zeros((T, Nin)))\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "0cee59e3-5fc7-4ce6-8b6b-1609b7504fed",
   "metadata": {},
   "outputs": [],
   "source": [
    "del modMonitor"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "8b6f90c9",
   "metadata": {},
   "source": [
    "## Part IV: Measuring power on the XyloAudio HDK"
   ]
  },
  {
   "cell_type": "raw",
   "id": "d7b886aa",
   "metadata": {
    "raw_mimetype": "text/restructuredtext",
    "vscode": {
     "languageId": "raw"
    }
   },
   "source": [
    ":py:class:`.syns61201.XyloSamna` and :py:class:`.syns65302.XyloSamna` (respectively for XyloAudio 2 and XyloAudio 3) provide an interface to real-time power measurements on the XyloAudio HDK.\n",
    "Current on several power nets on the chip can be sampled asynchronously, while the device is in operation.\n",
    "\n",
    "The :py:meth:`~.XyloSamna.evolve` method provides a power measurement interface while the device is in inference mode, and the :py:class:`.XyloSamna` module can be used also to measure idle power."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "ed018313",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The connected Xylo HDK contains a XyloAudio 3. Importing `rockpool.devices.xylo.syns65302`\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[&lt;</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff; font-weight: bold\">samna.xyloAudio3.XyloAudio3TestBoard</span><span style=\"color: #000000; text-decoration-color: #000000\"> object at </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x79b255f71630</span><span style=\"font-weight: bold\">&gt;]</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m[\u001b[0m\u001b[1m<\u001b[0m\u001b[1;95msamna.xyloAudio3.XyloAudio3TestBoard\u001b[0m\u001b[39m object at \u001b[0m\u001b[1;36m0x79b255f71630\u001b[0m\u001b[1m>\u001b[0m\u001b[1m]\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# - Find and connect to a XyloAudio HDK\n",
    "xylo_hdk_nodes, modules, versions = find_xylo_hdks()\n",
    "print(xylo_hdk_nodes)\n",
    "\n",
    "hdk = None\n",
    "\n",
    "for version, xylo in zip(versions, xylo_hdk_nodes):\n",
    "    if version == \"syns61201\":\n",
    "        hdk = xylo\n",
    "    # - For XyloAudio 3\n",
    "    elif version == \"syns65302\":\n",
    "        hdk = xylo\n",
    "\n",
    "if hdk is None:\n",
    "    assert False, 'This tutorial requires a connected XyloAudio HDK to demonstrate.'\n"
   ]
  },
  {
   "cell_type": "raw",
   "id": "b231ff04",
   "metadata": {
    "raw_mimetype": "text/restructuredtext"
   },
   "source": [
    "On instantiation, :py:class:`.XyloSamna` can specify a power sampling frequency.\n",
    "By default, power is measured at 5 Hz."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "f5b61064",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Requested PDM clock frequency 195312 could not be achieved, used 194552.52918287937 instead\n",
      "WARNING:samna.xyloAudio3:Requested PDM clock frequency 195312 could not be achieved, used 194552.52918287937 instead\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">XyloSamna  with shape <span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">8</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span><span style=\"font-weight: bold\">)</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "XyloSamna  with shape \u001b[1m(\u001b[0m\u001b[1;36m2\u001b[0m, \u001b[1;36m8\u001b[0m, \u001b[1;36m2\u001b[0m\u001b[1m)\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# - For XyloAudio 2\n",
    "if xylo_board_name == 'XyloAudio2':\n",
    "    # - Set a low clock frequency for the XyloAudio 2 device\n",
    "    xa2utils.set_xylo_core_clock_freq(hdk, 6.25)\n",
    "    # - Use XyloSamna to deploy to the HDK\n",
    "    modSamna = xa2.XyloSamna(hdk, config, dt = 10e-3, power_frequency=20.)\n",
    "# - For XyloAudio 3\n",
    "elif xylo_board_name == 'XyloAudio3':\n",
    "    import samna\n",
    "    # - Set a low clock frequency for the XyloAudio 3 device\n",
    "    xa3utils.set_xylo_core_clock_freq(hdk, 6.25)\n",
    "    # - Use XyloSamna to deploy to the HDK\n",
    "    modSamna = xa3.XyloSamna(hdk, config, dt = 10e-3, power_frequency=20.)\n",
    "    \n",
    "print(modSamna)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "80ced3e2",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">{</span>\n",
       "    <span style=\"color: #008000; text-decoration-color: #008000\">'io_power'</span>: <span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">array</span><span style=\"font-weight: bold\">([</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5.30937639e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.78521209e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.88047729e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.90077661e-05</span>,\n",
       "       <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.88928753e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.88994895e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.84958680e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.85234977e-05</span>,\n",
       "       <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.83960494e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.84844734e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.88781698e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.88253519e-05</span>,\n",
       "       <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.83945867e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.86215621e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.86923501e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.77344967e-05</span>,\n",
       "       <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.82613576e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.88101461e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.85577861e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.94462664e-05</span>,\n",
       "       <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.86412688e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.89093994e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.91931865e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.84674188e-05</span>,\n",
       "       <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.95842757e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.87733345e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.88741084e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.89904035e-05</span>,\n",
       "       <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.87757857e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.83866488e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.91303558e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.88000104e-05</span>,\n",
       "       <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.93736417e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.82902425e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.88851695e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.91236626e-05</span>,\n",
       "       <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.88696842e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.88332233e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.83185762e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.86944990e-05</span>,\n",
       "       <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.89374181e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.94004074e-05</span><span style=\"font-weight: bold\">])</span>,\n",
       "    <span style=\"color: #008000; text-decoration-color: #008000\">'analog_power'</span>: <span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">array</span><span style=\"font-weight: bold\">([</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.22346851e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.29668834e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.25226875e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.27738357e-05</span>,\n",
       "       <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.25993179e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.21451006e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.19859739e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.21695531e-05</span>,\n",
       "       <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.23993083e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.18280841e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.22633618e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.19139054e-05</span>,\n",
       "       <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.26641125e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.21200078e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.28507395e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.25573137e-05</span>,\n",
       "       <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.22859912e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.14373312e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.19337021e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.14137518e-05</span>,\n",
       "       <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.20624613e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.16592283e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.16732817e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.23871221e-05</span>,\n",
       "       <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.17034335e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.23981670e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.18468741e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.20749333e-05</span>,\n",
       "       <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.21703162e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.23362499e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.23340529e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.21872495e-05</span>,\n",
       "       <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.18317292e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.26091052e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.23489872e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.21678636e-05</span>,\n",
       "       <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.19599248e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.23169469e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.24655713e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.22020890e-05</span>,\n",
       "       <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.20731612e-05</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.23265548e-05</span><span style=\"font-weight: bold\">])</span>,\n",
       "    <span style=\"color: #008000; text-decoration-color: #008000\">'digital_power'</span>: <span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">array</span><span style=\"font-weight: bold\">([</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.0009264</span> , <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00056439</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.0005621</span> , <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00056241</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00056249</span>,\n",
       "       <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00056277</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00056298</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00056146</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00056234</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00056322</span>,\n",
       "       <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00056221</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00056125</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00056157</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00056075</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.0005622</span> ,\n",
       "       <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00056211</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00056229</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00056176</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00056363</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00056275</span>,\n",
       "       <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00056201</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00056186</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.0005626</span> , <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00056249</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00056298</span>,\n",
       "       <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00056183</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00056152</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.0005629</span> , <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00056206</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00056342</span>,\n",
       "       <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00056272</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00056229</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00056262</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00056191</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00056141</span>,\n",
       "       <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00056313</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00056145</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00056247</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00056188</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00056201</span>,\n",
       "       <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00056274</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00056227</span><span style=\"font-weight: bold\">])</span>,\n",
       "    <span style=\"color: #008000; text-decoration-color: #008000\">'inf_duration'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2.083202362060547</span>\n",
       "<span style=\"font-weight: bold\">}</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m{\u001b[0m\n",
       "    \u001b[32m'io_power'\u001b[0m: \u001b[1;35marray\u001b[0m\u001b[1m(\u001b[0m\u001b[1m[\u001b[0m\u001b[1;36m5.30937639e-05\u001b[0m, \u001b[1;36m4.78521209e-05\u001b[0m, \u001b[1;36m4.88047729e-05\u001b[0m, \u001b[1;36m4.90077661e-05\u001b[0m,\n",
       "       \u001b[1;36m4.88928753e-05\u001b[0m, \u001b[1;36m4.88994895e-05\u001b[0m, \u001b[1;36m4.84958680e-05\u001b[0m, \u001b[1;36m4.85234977e-05\u001b[0m,\n",
       "       \u001b[1;36m4.83960494e-05\u001b[0m, \u001b[1;36m4.84844734e-05\u001b[0m, \u001b[1;36m4.88781698e-05\u001b[0m, \u001b[1;36m4.88253519e-05\u001b[0m,\n",
       "       \u001b[1;36m4.83945867e-05\u001b[0m, \u001b[1;36m4.86215621e-05\u001b[0m, \u001b[1;36m4.86923501e-05\u001b[0m, \u001b[1;36m4.77344967e-05\u001b[0m,\n",
       "       \u001b[1;36m4.82613576e-05\u001b[0m, \u001b[1;36m4.88101461e-05\u001b[0m, \u001b[1;36m4.85577861e-05\u001b[0m, \u001b[1;36m4.94462664e-05\u001b[0m,\n",
       "       \u001b[1;36m4.86412688e-05\u001b[0m, \u001b[1;36m4.89093994e-05\u001b[0m, \u001b[1;36m4.91931865e-05\u001b[0m, \u001b[1;36m4.84674188e-05\u001b[0m,\n",
       "       \u001b[1;36m4.95842757e-05\u001b[0m, \u001b[1;36m4.87733345e-05\u001b[0m, \u001b[1;36m4.88741084e-05\u001b[0m, \u001b[1;36m4.89904035e-05\u001b[0m,\n",
       "       \u001b[1;36m4.87757857e-05\u001b[0m, \u001b[1;36m4.83866488e-05\u001b[0m, \u001b[1;36m4.91303558e-05\u001b[0m, \u001b[1;36m4.88000104e-05\u001b[0m,\n",
       "       \u001b[1;36m4.93736417e-05\u001b[0m, \u001b[1;36m4.82902425e-05\u001b[0m, \u001b[1;36m4.88851695e-05\u001b[0m, \u001b[1;36m4.91236626e-05\u001b[0m,\n",
       "       \u001b[1;36m4.88696842e-05\u001b[0m, \u001b[1;36m4.88332233e-05\u001b[0m, \u001b[1;36m4.83185762e-05\u001b[0m, \u001b[1;36m4.86944990e-05\u001b[0m,\n",
       "       \u001b[1;36m4.89374181e-05\u001b[0m, \u001b[1;36m4.94004074e-05\u001b[0m\u001b[1m]\u001b[0m\u001b[1m)\u001b[0m,\n",
       "    \u001b[32m'analog_power'\u001b[0m: \u001b[1;35marray\u001b[0m\u001b[1m(\u001b[0m\u001b[1m[\u001b[0m\u001b[1;36m1.22346851e-05\u001b[0m, \u001b[1;36m1.29668834e-05\u001b[0m, \u001b[1;36m1.25226875e-05\u001b[0m, \u001b[1;36m1.27738357e-05\u001b[0m,\n",
       "       \u001b[1;36m1.25993179e-05\u001b[0m, \u001b[1;36m1.21451006e-05\u001b[0m, \u001b[1;36m1.19859739e-05\u001b[0m, \u001b[1;36m1.21695531e-05\u001b[0m,\n",
       "       \u001b[1;36m1.23993083e-05\u001b[0m, \u001b[1;36m1.18280841e-05\u001b[0m, \u001b[1;36m1.22633618e-05\u001b[0m, \u001b[1;36m1.19139054e-05\u001b[0m,\n",
       "       \u001b[1;36m1.26641125e-05\u001b[0m, \u001b[1;36m1.21200078e-05\u001b[0m, \u001b[1;36m1.28507395e-05\u001b[0m, \u001b[1;36m1.25573137e-05\u001b[0m,\n",
       "       \u001b[1;36m1.22859912e-05\u001b[0m, \u001b[1;36m1.14373312e-05\u001b[0m, \u001b[1;36m1.19337021e-05\u001b[0m, \u001b[1;36m1.14137518e-05\u001b[0m,\n",
       "       \u001b[1;36m1.20624613e-05\u001b[0m, \u001b[1;36m1.16592283e-05\u001b[0m, \u001b[1;36m1.16732817e-05\u001b[0m, \u001b[1;36m1.23871221e-05\u001b[0m,\n",
       "       \u001b[1;36m1.17034335e-05\u001b[0m, \u001b[1;36m1.23981670e-05\u001b[0m, \u001b[1;36m1.18468741e-05\u001b[0m, \u001b[1;36m1.20749333e-05\u001b[0m,\n",
       "       \u001b[1;36m1.21703162e-05\u001b[0m, \u001b[1;36m1.23362499e-05\u001b[0m, \u001b[1;36m1.23340529e-05\u001b[0m, \u001b[1;36m1.21872495e-05\u001b[0m,\n",
       "       \u001b[1;36m1.18317292e-05\u001b[0m, \u001b[1;36m1.26091052e-05\u001b[0m, \u001b[1;36m1.23489872e-05\u001b[0m, \u001b[1;36m1.21678636e-05\u001b[0m,\n",
       "       \u001b[1;36m1.19599248e-05\u001b[0m, \u001b[1;36m1.23169469e-05\u001b[0m, \u001b[1;36m1.24655713e-05\u001b[0m, \u001b[1;36m1.22020890e-05\u001b[0m,\n",
       "       \u001b[1;36m1.20731612e-05\u001b[0m, \u001b[1;36m1.23265548e-05\u001b[0m\u001b[1m]\u001b[0m\u001b[1m)\u001b[0m,\n",
       "    \u001b[32m'digital_power'\u001b[0m: \u001b[1;35marray\u001b[0m\u001b[1m(\u001b[0m\u001b[1m[\u001b[0m\u001b[1;36m0.0009264\u001b[0m , \u001b[1;36m0.00056439\u001b[0m, \u001b[1;36m0.0005621\u001b[0m , \u001b[1;36m0.00056241\u001b[0m, \u001b[1;36m0.00056249\u001b[0m,\n",
       "       \u001b[1;36m0.00056277\u001b[0m, \u001b[1;36m0.00056298\u001b[0m, \u001b[1;36m0.00056146\u001b[0m, \u001b[1;36m0.00056234\u001b[0m, \u001b[1;36m0.00056322\u001b[0m,\n",
       "       \u001b[1;36m0.00056221\u001b[0m, \u001b[1;36m0.00056125\u001b[0m, \u001b[1;36m0.00056157\u001b[0m, \u001b[1;36m0.00056075\u001b[0m, \u001b[1;36m0.0005622\u001b[0m ,\n",
       "       \u001b[1;36m0.00056211\u001b[0m, \u001b[1;36m0.00056229\u001b[0m, \u001b[1;36m0.00056176\u001b[0m, \u001b[1;36m0.00056363\u001b[0m, \u001b[1;36m0.00056275\u001b[0m,\n",
       "       \u001b[1;36m0.00056201\u001b[0m, \u001b[1;36m0.00056186\u001b[0m, \u001b[1;36m0.0005626\u001b[0m , \u001b[1;36m0.00056249\u001b[0m, \u001b[1;36m0.00056298\u001b[0m,\n",
       "       \u001b[1;36m0.00056183\u001b[0m, \u001b[1;36m0.00056152\u001b[0m, \u001b[1;36m0.0005629\u001b[0m , \u001b[1;36m0.00056206\u001b[0m, \u001b[1;36m0.00056342\u001b[0m,\n",
       "       \u001b[1;36m0.00056272\u001b[0m, \u001b[1;36m0.00056229\u001b[0m, \u001b[1;36m0.00056262\u001b[0m, \u001b[1;36m0.00056191\u001b[0m, \u001b[1;36m0.00056141\u001b[0m,\n",
       "       \u001b[1;36m0.00056313\u001b[0m, \u001b[1;36m0.00056145\u001b[0m, \u001b[1;36m0.00056247\u001b[0m, \u001b[1;36m0.00056188\u001b[0m, \u001b[1;36m0.00056201\u001b[0m,\n",
       "       \u001b[1;36m0.00056274\u001b[0m, \u001b[1;36m0.00056227\u001b[0m\u001b[1m]\u001b[0m\u001b[1m)\u001b[0m,\n",
       "    \u001b[32m'inf_duration'\u001b[0m: \u001b[1;36m2.083202362060547\u001b[0m\n",
       "\u001b[1m}\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# - Generate some Poisson input\n",
    "T = 1000\n",
    "f = 0.4\n",
    "input_spikes = np.random.rand(T, Nin) < f\n",
    "\n",
    "# - Evolve some input on the SNN core, and record power during inference\n",
    "out, _, record_dict = modSamna(input_spikes, record_power = True)\n",
    "\n",
    "print(record_dict)"
   ]
  },
  {
   "cell_type": "raw",
   "id": "ef17e9bf",
   "metadata": {
    "raw_mimetype": "text/restructuredtext",
    "vscode": {
     "languageId": "raw"
    }
   },
   "source": [
    "For XyloAudio 2 power is sampled on four nets, and is returned in Watts.\n",
    "\n",
    "`'io_power'` is the total I/O power of the device.\n",
    "'`snn_core_power'` is the power consumption of the digital SNN core and control logic.\n",
    "'`afe_core_power'` is the power of the analog audio front-end core.\n",
    "'`afe_ldo_power'` is the power consumption of the internal low-drop-out voltage supply used by the AFE.\n",
    "\n",
    "For XyloAudio 3 power is sampled on three nets, and is returned in Watts.\n",
    "\n",
    "`'io_power'` is the total I/O power of the device.\n",
    "'`analog_power'` is the power of the analog audio front-end core.\n",
    "'`digital_power'` is the power consumption of the digital SNN core and control logic.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "8817900c-4286-4c55-bee5-cdd275ae5a1b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">XyloAudio <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>\n",
       "All IO:         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">39.5</span> µW\n",
       "AFE core:       <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">12.2</span> µW\n",
       "SNN core logic: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">554.4</span> µW\n",
       "</pre>\n"
      ],
      "text/plain": [
       "XyloAudio \u001b[1;36m3\u001b[0m\n",
       "All IO:         \u001b[1;36m39.5\u001b[0m µW\n",
       "AFE core:       \u001b[1;36m12.2\u001b[0m µW\n",
       "SNN core logic: \u001b[1;36m554.4\u001b[0m µW\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Requested PDM clock frequency 195312 could not be achieved, used 194552.52918287937 instead\n",
      "WARNING:samna.xyloAudio3:Requested PDM clock frequency 195312 could not be achieved, used 194552.52918287937 instead\n"
     ]
    }
   ],
   "source": [
    "# - Measure idle power (no evolution)\n",
    "from time import sleep\n",
    "import samna\n",
    "\n",
    "modSamna._power_buf.get_events()\n",
    "sleep(5.)\n",
    "power = modSamna._power_buf.get_events()\n",
    "\n",
    "# - For XyloAudio 2\n",
    "if xylo_board_name == 'XyloAudio2':\n",
    "    power_idle = ([], [], [], [])\n",
    "    for p in power:\n",
    "        power_idle[p.channel].append(p.value)\n",
    "\n",
    "    idle_power_per_channel = np.mean(np.stack(power_idle), axis = 1)\n",
    "    \n",
    "    channels = samna.xyloA2TestBoard.MeasurementChannels\n",
    "    io_power = idle_power_per_channel[channels.Io]\n",
    "    afe_core_power = idle_power_per_channel[channels.LogicAfe]\n",
    "    afe_ldo_power = idle_power_per_channel[channels.IoAfe]\n",
    "    snn_core_power = idle_power_per_channel[channels.Logic]\n",
    "    \n",
    "    print(f'XyloAudio 2\\nAll IO:\\t\\t{io_power * 1e6:.1f} µW\\nAFE core:\\t{afe_core_power * 1e6:.1f} µW\\nInternal LDO:\\t{afe_ldo_power * 1e6:.1f} µW\\nSNN core logic:\\t{snn_core_power*1e6:.1f} µW')\n",
    "\n",
    "# - For XyloAudio 3\n",
    "elif xylo_board_name == 'XyloAudio3':\n",
    "    power_idle = ([], [], [])\n",
    "    for p in power:\n",
    "        power_idle[p.channel].append(p.value)\n",
    "\n",
    "    channels = samna.xyloAudio3.MeasurementChannels\n",
    "    idle_power_per_channel = np.mean(np.stack(power_idle), axis = 1)\n",
    "    io_power = idle_power_per_channel[channels.Io] \n",
    "    analog_power = idle_power_per_channel[channels.AnalogLogic] \n",
    "    digital_power = idle_power_per_channel[channels.DigitalLogic]\n",
    "    print(f'XyloAudio 3\\nAll IO:\\t\\t{io_power * 1e6:.1f} µW\\nAFE core:\\t{analog_power * 1e6:.1f} µW\\nSNN core logic:\\t{digital_power*1e6:.1f} µW')\n",
    "\n",
    "\n",
    "del modSamna"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "76b6c0d9",
   "metadata": {},
   "source": [
    "### Hints on reducing power consumption"
   ]
  },
  {
   "cell_type": "raw",
   "id": "ca452a27",
   "metadata": {
    "raw_mimetype": "text/restructuredtext",
    "vscode": {
     "languageId": "raw"
    }
   },
   "source": [
    "Several points may be useful in reducing active power on XyloAudio.\n",
    "\n",
    "Note: ``Accelerated time`` is not the most power-saving mode of XyloAudio 3.\n",
    "For instance, the same network above would have consumed around 350 µW of processing when ran in ``Real time`` mode.\n",
    "\n",
    "- Reducing the core clock frequency. The dev-kit utility function :func:`.devices.xylo.syns61201.xa2_devkit_utils.set_xylo_core_clock_freq` can be used to set a lower core clock frequency than the default of 50 Mhz, lowering power consumption proportionally. Depending on your network size and complexity you can most likely reduce the clock frequency and still guarantee real-time operation.\n",
    "\n",
    "- Reducing network activity and network size. The SNN core within Xylo only works as hard as it needs to. Once all neuron states have been updated, the core performs no operations until the next network time-step. This conserves energy.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "84ca7084",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Help on function set_xylo_core_clock_freq in module rockpool.devices.xylo.syns65302.xa3_devkit_utils:\n",
      "\n",
      "set_xylo_core_clock_freq(device: samna.xyloAudio3.XyloAudio3TestBoard, main_clock_frequency_MHz: float) -> None\n",
      "    Set the internal core clock frequency used by Xylo\n",
      "    \n",
      "    Args:\n",
      "        device (XyloAudio3HDK): A XyloAudio 3 device to configure\n",
      "        main_clock_frequency_MHz (float): The main clock frequency of XyloAudio 3 in MHz\n",
      "\n"
     ]
    }
   ],
   "source": [
    "if xylo_board_name == 'XyloAudio2':\n",
    "    help(xa2utils.set_xylo_core_clock_freq)\n",
    "elif xylo_board_name == 'XyloAudio3':\n",
    "    help(xa3utils.set_xylo_core_clock_freq)   \n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3ee1b04f",
   "metadata": {},
   "source": [
    "### Estimate the required master clock frequency for real-time operation"
   ]
  },
  {
   "cell_type": "raw",
   "id": "301e2b33",
   "metadata": {
    "raw_mimetype": "text/restructuredtext"
   },
   "source": [
    "Rockpool includes a model of the cycles required to operate the Xylo SNN inference core, in :py:func:`~.syns61201.cycles_model`. Xylo is an efficient device, which skips computation whenever possible. As a result, the computational requirements and power consumption vary dynamically with network activity, and with network configuration.\n",
    "\n",
    "By default :py:func:`~.syns61201.cycles_model` estimates a worst-case scenario, which can inform the master clock frequency that guarantees real-time operation for your network. It can also take into account real network activity to estimate a usual computational load.\n",
    "\n",
    "The function :py:func:`~.syns61201.est_clock_freq` will return the master clock frequency that guarantees real-time operation, for a given Xylo configuration."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "2846eb5a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Help on function cycles_model in module rockpool.devices.xylo.syns63300.power_cycles_model:\n",
      "\n",
      "cycles_model(config: Union[samna.xyloImu.configuration.XyloConfiguration, samna.xyloAudio3.configuration.XyloConfiguration], input_sp: Union[float, numpy.ndarray, torch.Tensor, array] = 1.0, hidden_sp: Union[float, numpy.ndarray, torch.Tensor, array] = 1.0, output_sp: Union[float, numpy.ndarray, torch.Tensor, array] = 1.0) -> float\n",
      "    Calculate the average number of cycles required for a given network architecture\n",
      "    \n",
      "    This function contains a model which estimates the number of master clock cycles required for the Xylo SNN SYNS61202 and SYNS65302 inference cores to compute one time-step for a given chip configuration in ``config``. Use :py:func:`~.devices.xylo.syns61201.config_from_specification` to obtain a chip configuration, along with :py:meth:`.Module.as_graph` and :py:func:`~.devices.xylo.syns61201.mapper`, as described in the deployment tutorials for Xylo.\n",
      "    \n",
      "    By default the model provides a \"worst-case\" estimation, assuming that every neuron and every input channel fire on each time-step. If desired, real input rasters and real hidden and output spike rasters can be provided for analysis. Alternative spiking probabilities can also be provided as floats ``0..1``.\n",
      "    \n",
      "    Note that when estimating spiking probablility, only boolean values are relevant --- either a spike or no spike per time step per channel. Multiple events per bin cost the same as a single event.\n",
      "    \n",
      "    Args:\n",
      "        config (Union[XyloIMUConfig, XyloA3Config]): A Xylo configuration for which to calculate the cycle requirements\n",
      "        input_sp (FloatVector): Either a floating-point number 0..1, specifying the average input firing rate, or an actual input spike raster to use in evaluation. Default: `1.0`; estimate a worst-case scenario\n",
      "        hidden_sp (FloatVector): Either a floating-point number 0..1, specifying the average hidden neuron firing rate, or an actual hidden spike raster to use in evaluation. Default: `1.0`; estimate a worst-case scenario\n",
      "        output_sp (FloatVector): Either a floating-point number 0..1, specifying the average output neuron firing rate, or an actual output spike raster to use in evaluation. Default: `1.0`; estimate a worst-case scenario\n",
      "    \n",
      "    Returns:\n",
      "        float: The average number of master clock cycles required for this configuration, for the Xylo SNN core to compute one network `dt`\n",
      "\n"
     ]
    }
   ],
   "source": [
    "if xylo_board_name == 'XyloAudio2':\n",
    "    from rockpool.devices.xylo.syns61201 import cycles_model, est_clock_freq\n",
    "elif xylo_board_name == 'XyloAudio3':\n",
    "    from rockpool.devices.xylo.syns65302 import cycles_model, est_clock_freq\n",
    "help(cycles_model)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "c8f6005a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Help on function est_clock_freq in module rockpool.devices.xylo.syns63300.power_cycles_model:\n",
      "\n",
      "est_clock_freq(config: Union[samna.xyloImu.configuration.XyloConfiguration, samna.xyloAudio3.configuration.XyloConfiguration], dt: float, margin: float = 0.2)\n",
      "    Estimate the required master clock frequency, to run a network in real-time\n",
      "    \n",
      "    This function will perform a worst-case analysis, assuming that every input channel, every hidden neuron and every output neuron fire an event on each `dt`. An additional margin is included (Default: 20%), to guarantee that the model will run in real time at the suggested master clock frequency.\n",
      "    \n",
      "    Args:\n",
      "        config (Union[XyloIMUConfig, XyloA3Config]):  A Xylo configuration for which to estimate the required clock frequency\n",
      "        dt (float): The required network `dt`, in seconds\n",
      "        margin (float): The additional overhead safety margin to add to the estimation, as a fraction. Default: `0.2` (20%)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "help(est_clock_freq)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "202ebeae",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">This network requires <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">562.0</span> master clock cycles per network time-step.\n",
       "</pre>\n"
      ],
      "text/plain": [
       "This network requires \u001b[1;36m562.0\u001b[0m master clock cycles per network time-step.\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">This network requires a master clock of <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.07</span> MHz for real-time operation.\n",
       "</pre>\n"
      ],
      "text/plain": [
       "This network requires a master clock of \u001b[1;36m0.07\u001b[0m MHz for real-time operation.\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(f\"This network requires {cycles_model(config)} master clock cycles per network time-step.\")\n",
    "print(f\"This network requires a master clock of {est_clock_freq(config, dt) / 1e6:.2f} MHz for real-time operation.\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.3"
  },
  "vscode": {
   "interpreter": {
    "hash": "7c0b9d47d5d3724c1090079e6a482fd3b557a4229bd09ca1206acef5b6a64516"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}