lsnn_demo.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load and run a pretrained LSNN model with streaming microphone input\n",
    "See the readme for instructions on training and train.py for the training script"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": "Tensorflow 1.15.0\n"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import queue\n",
    "import sounddevice as sd\n",
    "import tensorflow as tf\n",
    "import tensorflow.compat.v1 as tf1\n",
    "print('Tensorflow {}'.format(tf.__version__))\n",
    "\n",
    "from models import create_lsnn_model\n",
    "from spiking_models import KerasALIF, KerasDelayALIF\n",
    "from threading import Thread\n",
    "from time import time, sleep"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setup model parameters\n",
    "This is a consolidated version of the model settings for train.py for readability.\n",
    "Make sure that you train the LSNN with the same settings you use for inference."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "model_dir = \"results/speech_commands_train/\"\n",
    "model_checkpoint = \"20200615-202035_lsnn_l1_h2048_w30.0str1.0_do0.0_b2.0_lif0.0_reg0.001_.ckpt-800\"\n",
    "labels = [\"_silence_\", \"_unknown_\", \"yes\", \"no\", \"up\", \"down\", \"left\", \"right\", \"on\", \"off\", \"stop\", \"go\"]\n",
    "label_count = len(labels)\n",
    "\n",
    "sample_rate = 16000\n",
    "clip_duration_ms = 1000\n",
    "window_size_ms = 30\n",
    "window_stride_ms = 1\n",
    "num_samples = int(sample_rate * clip_duration_ms / 1000)\n",
    "window_size_samples = int(sample_rate * window_size_ms / 1000)\n",
    "window_stride_samples = int(sample_rate * window_stride_ms / 1000)\n",
    "length_minus_window = (num_samples - window_size_samples)\n",
    "input_length = 1 + int(length_minus_window / window_stride_samples)\n",
    "input_features = 40\n",
    "input_size = input_features * input_length\n",
    "log_noise_floor = 1e-12\n",
    "\n",
    "model_settings = {\n",
    "    'desired_samples': num_samples,\n",
    "    'window_size_samples': window_size_samples,\n",
    "    'window_stride_samples': window_stride_samples,\n",
    "    'spectrogram_length': input_length,\n",
    "    'fingerprint_width': input_features,\n",
    "    'fingerprint_size': input_size,\n",
    "    'label_count': label_count,\n",
    "    'sample_rate': sample_rate,\n",
    "    'preprocess': \"mfcc\",\n",
    "    'average_window_width': -1,\n",
    "    'in_repeat': 1,\n",
    "    \"n_hidden\": 2048,\n",
    "    \"n_layer\": 1,\n",
    "    \"dropout_prob\": 0,\n",
    "    \"n_lif_frac\": 0.0,\n",
    "    \"tau\": 20,\n",
    "    \"refr\": 2,\n",
    "    \"beta\": 2.0,\n",
    "    \"n_thr_spikes\": 1,\n",
    "    \"n_delay\": 0,\n",
    "    \"eprop\": False,\n",
    "    \"random_eprop\": False,\n",
    "    \"avg_spikes\": True,\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create an input preprocessing graph (MFCCs only) and the model graph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": "WARNING:tensorflow:From /home/ailab/anaconda3/envs/tfgpu/lib/python3.7/site-packages/tensorflow_core/python/ops/resource_variable_ops.py:1630: calling BaseResourceVariable.__init__ (from tensorflow.python.ops.resource_variable_ops) with constraint is deprecated and will be removed in a future version.\nInstructions for updating:\nIf using Keras pass *_constraint arguments to layers.\nWARNING:tensorflow:From /home/ailab/Documents/GoogleSpeechCommandsRNN/spiking_models.py:752: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.\nInstructions for updating:\nUse tf.where in 2.0, which has the same broadcast rule as np.where\n"
    }
   ],
   "source": [
    "tf1.reset_default_graph()\n",
    "\n",
    "signal_input = tf1.placeholder(tf.float32, [num_samples, 1], name='signal')\n",
    "\n",
    "def periodic_hann_window(window_length, dtype):\n",
    "    wl = tf.cast(window_length, dtype=dtype)\n",
    "    r = tf.range(wl, dtype=dtype)\n",
    "    return 0.5 - 0.5 * tf.math.cos(2.0 * np.pi * r / wl)\n",
    "\n",
    "signal_stft = tf.signal.stft(tf.transpose(signal_input, [1, 0]),\n",
    "                             frame_length=model_settings['window_size_samples'],\n",
    "                             frame_step=model_settings['window_stride_samples'],\n",
    "                             window_fn=periodic_hann_window)\n",
    "\n",
    "spectrograms = tf.abs(signal_stft)\n",
    "\n",
    "num_spectrogram_bins = signal_stft.shape[-1]\n",
    "mel_weights = tf.signal.linear_to_mel_weight_matrix(input_features, num_spectrogram_bins, sample_rate)\n",
    "mel_spectrograms = tf.tensordot(spectrograms, mel_weights, 1)\n",
    "\n",
    "log_mel_spectrograms = tf.math.log(mel_spectrograms + log_noise_floor)\n",
    "signal_mfccs = tf.signal.mfccs_from_log_mel_spectrograms(log_mel_spectrograms)[..., :input_features]\n",
    "\n",
    "input_layer = tf.reshape(signal_mfccs, [1, -1])\n",
    "\n",
    "logits, spikes, _ = create_lsnn_model(input_layer, model_settings, is_training=False)\n",
    "softmax = tf.nn.softmax(logits)\n",
    "average_spikes = tf.reduce_mean(spikes, axis=(0, 1))\n",
    "\n",
    "saver = tf1.train.Saver()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setup the sound device\n",
    "Make sure to set the appropriate device from the list below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": "0 HDA Intel PCH: ALC1220 Analog (hw:0,0), ALSA (2 in, 6 out)\n   1 HDA Intel PCH: ALC1220 Digital (hw:0,1), ALSA (0 in, 2 out)\n   2 HDA Intel PCH: ALC1220 Alt Analog (hw:0,2), ALSA (2 in, 0 out)\n   3 HDA NVidia: HDMI 0 (hw:1,3), ALSA (0 in, 8 out)\n   4 HDA NVidia: HDMI 1 (hw:1,7), ALSA (0 in, 2 out)\n   5 HDA NVidia: HDMI 2 (hw:1,8), ALSA (0 in, 8 out)\n   6 HDA NVidia: HDMI 3 (hw:1,9), ALSA (0 in, 8 out)\n*  7 Jabra SPEAK 410 USB: Audio (hw:2,0), ALSA (1 in, 2 out)\n   8 sysdefault, ALSA (128 in, 128 out)\n   9 front, ALSA (0 in, 6 out)\n  10 surround21, ALSA (0 in, 128 out)\n  11 surround40, ALSA (0 in, 6 out)\n  12 surround41, ALSA (0 in, 128 out)\n  13 surround50, ALSA (0 in, 128 out)\n  14 surround51, ALSA (0 in, 6 out)\n  15 surround71, ALSA (0 in, 6 out)\n  16 iec958, ALSA (0 in, 2 out)\n  17 spdif, ALSA (0 in, 2 out)\n  18 pulse, ALSA (32 in, 32 out)\n  19 dmix, ALSA (0 in, 2 out)\n  20 default, ALSA (32 in, 32 out)\n"
    }
   ],
   "source": [
    "print(sd.query_devices())\n",
    "\n",
    "signal_queue = queue.Queue()\n",
    "signal = np.zeros(num_samples)\n",
    "recorded_samples = 0\n",
    "\n",
    "# Callback for the sound device stream\n",
    "def enqueue_signal(data, samples, time, status):\n",
    "    signal_queue.put(data[:,0])\n",
    "\n",
    "# Dequeuing function to run in an input thread\n",
    "def roll_signal(max_samples):\n",
    "    global signal_queue, signal, recorded_samples\n",
    "    while recorded_samples < max_samples:\n",
    "        try:\n",
    "            data = signal_queue.get(timeout=0.001)\n",
    "            signal = np.roll(signal, -data.size)\n",
    "            signal[-data.size:] = data\n",
    "            recorded_samples += data.size\n",
    "        except queue.Empty:\n",
    "            pass\n",
    "\n",
    "sd.default.device = 7\n",
    "sd.default.channels = 1\n",
    "sd.default.samplerate = sample_rate"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Begin recording and iteratively applying the trained model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": "INFO:tensorflow:Restoring parameters from results/speech_commands_train/20200615-202035_lsnn_l1_h2048_w30.0str1.0_do0.0_b2.0_lif0.0_reg0.001_.ckpt-800\nRecording...\n\ndown...stop...left...right...left...right...left...right...left...right...left...right...stop...\nFinished\n"
    }
   ],
   "source": [
    "# Set the duration in seconds that you want to run the demo\n",
    "duration = 10.0\n",
    "max_samples = int(duration * sample_rate)\n",
    "\n",
    "# Capture the softmax outputs of the model at each iteration\n",
    "all_outputs = []\n",
    "# Record the time at each iteration\n",
    "times = []\n",
    "\n",
    "with tf1.Session() as sess:\n",
    "    saver.restore(sess, os.path.join(model_dir, model_checkpoint))\n",
    "    \n",
    "    with sd.InputStream(callback=enqueue_signal) as stream:\n",
    "        \n",
    "        print('Recording...\\n')\n",
    "        record_thread = Thread(target=roll_signal, args=(max_samples,))\n",
    "        record_thread.start()\n",
    "\n",
    "        previous_label = 0\n",
    "        current_sample = 0\n",
    "        while current_sample < max_samples:\n",
    "            if current_sample < recorded_samples:\n",
    "                frozen_signal = signal.copy()\n",
    "                current_sample = recorded_samples\n",
    "                output = sess.run(softmax, feed_dict={signal_input: frozen_signal.reshape(-1, 1)})\n",
    "                all_outputs.append(output)\n",
    "                current_label = np.argmax(output, axis=1)[0]\n",
    "                if current_label != previous_label:\n",
    "                    print(labels[current_label], end='...')\n",
    "                    previous_label = current_label\n",
    "                times.append(time())\n",
    "            else:\n",
    "                # If there's nothing more the classify right now, sleep for 1 ms.\n",
    "                sleep(0.001)\n",
    "        \n",
    "        record_thread.join()\n",
    "\n",
    "# Convert the outputs and times to more convenient representations\n",
    "all_outputs = np.array(all_outputs).squeeze()\n",
    "times = np.diff(times)\n",
    "print()\n",
    "print('Finished')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Playback and visualize the results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": "INFO:tensorflow:Restoring parameters from results/speech_commands_train/20200615-202035_lsnn_l1_h2048_w30.0str1.0_do0.0_b2.0_lif0.0_reg0.001_.ckpt-800\n"
    },
    {
     "output_type": "display_data",
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78.64922 70.174633 \nL 78.715932 70.593291 \nL 78.782644 70.489919 \nL 78.871592 69.792155 \nL 78.938304 70.11261 \nL 79.027253 70.360704 \nL 79.005015 70.050586 \nL 79.04949 70.33486 \nL 79.071727 70.174633 \nL 79.093964 70.396884 \nL 79.160676 70.257331 \nL 79.271862 69.978226 \nL 79.294099 70.122947 \nL 79.338573 70.531268 \nL 79.36081 70.727676 \nL 79.405285 70.515762 \nL 79.449759 70.582954 \nL 79.516471 70.660483 \nL 79.627657 69.931708 \nL 79.694368 70.014406 \nL 79.850028 70.386547 \nL 79.91674 69.823167 \nL 79.983452 69.96272 \nL 80.005689 69.942045 \nL 80.027926 69.9989 \nL 80.139112 70.231488 \nL 80.228061 69.688783 \nL 80.272535 69.797324 \nL 80.339247 69.931708 \nL 80.450433 70.138453 \nL 80.494907 69.817998 \nL 80.583856 69.833504 \nL 80.62833 69.843842 \nL 80.672804 69.683614 \nL 80.717279 69.916202 \nL 80.761753 69.714626 \nL 80.78399 69.730132 \nL 80.895176 69.482038 \nL 80.917413 69.564736 \nL 80.984125 69.983394 \nL 81.050837 69.931708 \nL 81.117548 70.241825 \nL 81.162022 69.9989 \nL 81.18426 69.637097 \nL 81.273208 69.947214 \nL 81.295446 69.750806 \nL 81.362157 69.983394 \nL 81.384394 70.076429 \nL 81.406631 69.911034 \nL 81.473343 69.745638 \nL 81.49558 69.905865 \nL 81.540055 70.371041 \nL 81.584529 69.905865 \nL 81.606766 69.802493 \nL 81.673478 70.004069 \nL 81.695715 69.905865 \nL 81.740189 70.257331 \nL 81.784664 70.489919 \nL 81.851375 70.41239 \nL 82.118221 69.404509 \nL 82.296119 70.195308 \nL 82.318356 70.18497 \nL 82.340593 70.097104 \nL 82.429542 70.18497 \nL 82.474016 70.340029 \nL 82.518491 70.18497 \nL 82.607439 69.96272 \nL 82.629677 70.159127 \nL 82.674151 70.520931 \nL 82.718625 70.060924 \nL 82.852049 70.252163 \nL 82.985472 69.786987 \nL 83.096658 70.402052 \nL 83.141132 70.613966 \nL 83.185606 70.283174 \nL 83.230081 70.603629 \nL 83.385741 70.153959 \nL 83.296792 70.696664 \nL 83.407978 70.422727 \nL 83.430215 70.526099 \nL 83.452453 70.200476 \nL 83.47469 69.854179 \nL 83.563638 69.9989 \nL 83.585876 69.983394 \nL 83.608113 70.024743 \nL 83.741536 70.763856 \nL 83.763773 70.536437 \nL 83.874959 69.838673 \nL 83.897196 69.921371 \nL 83.919433 69.993732 \nL 83.941671 69.890359 \nL 83.963908 69.755975 \nL 84.008382 70.029912 \nL 84.030619 69.9989 \nL 84.119568 70.479582 \nL 84.141805 70.117778 \nL 84.275228 69.771481 \nL 84.319703 69.714626 \nL 84.34194 69.854179 \nL 84.430889 70.603629 \nL 84.4976 70.314186 \nL 84.586549 70.520931 \nL 84.653261 70.536437 \nL 84.697735 70.2625 \nL 84.719972 70.345198 \nL 84.764446 70.107441 \nL 84.808921 70.278006 \nL 84.831158 70.309017 \nL 84.853395 70.164296 \nL 84.942344 69.652603 \nL 84.964581 69.880022 \nL 85.142479 70.753519 \nL 85.20919 70.453739 \nL 85.342613 69.786987 \nL 85.36485 69.843842 \nL 85.431562 69.81283 \nL 85.476036 69.952383 \nL 85.520511 69.678446 \nL 85.587222 69.931708 \nL 85.787357 70.639809 \nL 86.054203 69.394172 \nL 86.254338 70.345198 \nL 86.276575 69.973057 \nL 86.365524 70.066092 \nL 86.387761 70.159127 \nL 86.409998 69.96272 \nL 86.47671 69.724963 \nL 86.498947 69.885191 \nL 86.63237 70.241825 \nL 86.699082 69.859347 \nL 86.743556 70.164296 \nL 86.78803 70.293511 \nL 86.810267 70.246994 \nL 86.854742 69.750806 \nL 86.943691 69.905865 \nL 87.054877 70.215982 \nL 87.077114 70.190139 \nL 87.1883 70.33486 \nL 87.210537 70.272837 \nL 87.388434 69.921371 \nL 87.49962 70.009237 \nL 87.521857 69.817998 \nL 87.588569 70.029912 \nL 87.610806 70.004069 \nL 87.721992 70.443401 \nL 87.788704 70.283174 \nL 88.05555 69.502713 \nL 88.100024 69.973057 \nL 88.166736 69.678446 \nL 88.277922 70.195308 \nL 88.322396 69.931708 \nL 88.344633 69.931708 \nL 88.455819 70.505425 \nL 88.589242 69.864516 \nL 88.678191 70.097104 \nL 88.700428 69.693952 \nL 88.789377 70.024743 \nL 88.878326 69.585411 \nL 88.900563 69.895528 \nL 88.945037 70.283174 \nL 89.011749 70.14879 \nL 89.033986 69.786987 \nL 89.100698 70.14879 \nL 89.145172 70.272837 \nL 89.189646 70.221151 \nL 89.278595 69.761144 \nL 89.256358 70.272837 \nL 89.300832 70.004069 \nL 89.389781 69.916202 \nL 89.412018 70.29868 \nL 89.456493 70.019575 \nL 89.47873 70.479582 \nL 89.500967 70.283174 \nL 89.589916 70.469245 \nL 89.567678 70.267668 \nL 89.612153 70.324523 \nL 89.656627 70.14879 \nL 89.678864 70.246994 \nL 89.767813 70.769024 \nL 89.812288 70.613966 \nL 89.856762 70.572617 \nL 89.945711 70.14879 \nL 89.990185 70.153959 \nL 90.034659 70.319355 \nL 90.145845 70.794868 \nL 90.168082 70.469245 \nL 90.19032 70.48475 \nL 90.212557 70.365872 \nL 90.34598 69.828336 \nL 90.434929 70.536437 \nL 90.479403 70.272837 \nL 90.590589 69.766312 \nL 90.635063 70.004069 \nL 90.679538 70.128116 \nL 90.724012 69.916202 \nL 90.746249 69.942045 \nL 90.835198 70.360704 \nL 90.857435 70.226319 \nL 90.879672 70.128116 \nL 90.946384 70.221151 \nL 90.968621 70.371041 \nL 90.990858 70.246994 \nL 91.079807 69.688783 \nL 91.124281 69.761144 \nL 91.146519 69.755975 \nL 91.168756 69.859347 \nL 91.302179 70.107441 \nL 91.324416 70.040249 \nL 91.346653 69.745638 \nL 91.391128 70.138453 \nL 91.413365 70.019575 \nL 91.480076 70.443401 \nL 91.569025 70.371041 \nL 91.6135 70.107441 \nL 91.635737 70.438233 \nL 91.657974 70.510593 \nL 91.680211 70.350366 \nL 91.835871 69.750806 \nL 91.880346 69.66294 \nL 91.902583 69.745638 \nL 92.058243 70.314186 \nL 92.08048 70.314186 \nL 92.302852 69.156415 \nL 92.325089 69.259788 \nL 92.547461 69.900696 \nL 92.569698 69.84901 \nL 92.703122 70.071261 \nL 92.725359 69.978226 \nL 92.769833 70.169465 \nL 92.814308 70.696664 \nL 92.881019 70.422727 \nL 93.014442 69.719795 \nL 93.036679 69.864516 \nL 93.147865 69.383834 \nL 93.170102 69.611254 \nL 93.392474 70.391715 \nL 93.436949 70.427896 \nL 93.481423 70.226319 \nL 93.525897 70.629472 \nL 93.570372 70.205645 \nL 93.659321 70.159127 \nL 93.703795 70.371041 \nL 93.748269 70.03508 \nL 93.770506 70.153959 \nL 93.814981 69.766312 \nL 93.90393 69.967888 \nL 93.926167 69.957551 \nL 94.037353 70.283174 \nL 94.05959 70.159127 \nL 94.193013 70.340029 \nL 94.21525 70.278006 \nL 94.304199 69.673277 \nL 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99.062957 70.474413 \nL 99.085194 70.143621 \nL 99.129668 70.536437 \nL 99.174143 70.371041 \nL 99.218617 70.541605 \nL 99.263091 70.252163 \nL 99.307566 70.464076 \nL 99.329803 70.391715 \nL 99.35204 70.009237 \nL 99.440989 70.226319 \nL 99.463226 70.453739 \nL 99.5077 70.195308 \nL 99.552175 70.319355 \nL 99.596649 69.926539 \nL 99.641123 70.205645 \nL 99.663361 70.422727 \nL 99.707835 69.952383 \nL 99.730072 70.071261 \nL 99.90797 70.526099 \nL 99.796784 70.019575 \nL 99.930207 70.505425 \nL 100.019156 69.719795 \nL 100.085867 69.84901 \nL 100.263765 69.36316 \nL 100.152579 69.885191 \nL 100.286002 69.430352 \nL 100.463899 70.231488 \nL 100.486136 70.071261 \nL 100.508374 69.807661 \nL 100.552848 70.33486 \nL 100.575085 70.515762 \nL 100.61956 70.221151 \nL 100.797457 69.316642 \nL 100.819694 69.466532 \nL 101.042066 70.29868 \nL 101.108778 70.071261 \nL 101.197726 70.133284 \nL 101.331149 69.911034 \nL 101.375624 69.740469 \nL 101.420098 69.993732 \nL 101.442335 69.797324 \nL 101.464573 69.916202 \nL 101.48681 69.69912 \nL 101.509047 69.471701 \nL 101.553521 69.740469 \nL 101.664707 70.89824 \nL 101.709182 70.376209 \nL 101.731419 70.355535 \nL 101.864842 69.921371 \nL 101.953791 70.252163 \nL 101.998265 70.215982 \nL 102.042739 70.060924 \nL 102.064977 70.324523 \nL 102.087214 70.464076 \nL 102.131688 70.14879 \nL 102.176163 70.355535 \nL 102.1984 70.453739 \nL 102.220637 70.345198 \nL 102.309586 69.952383 \nL 102.331823 70.076429 \nL 102.376297 70.11261 \nL 102.398534 70.009237 \nL 102.487483 69.885191 \nL 102.531957 70.438233 \nL 102.598669 70.071261 \nL 102.620906 70.055755 \nL 102.709855 70.515762 \nL 102.732092 70.355535 \nL 102.798804 70.44857 \nL 102.887752 70.066092 \nL 102.90999 70.278006 \nL 102.976701 70.029912 \nL 102.998938 69.854179 \nL 103.087887 69.96272 \nL 103.132361 70.319355 \nL 103.199073 70.091935 \nL 103.22131 70.102273 \nL 103.376971 69.642265 \nL 103.532631 70.422727 \nL 103.755003 69.580242 \nL 103.77724 69.900696 \nL 103.888426 70.582954 \nL 103.910663 70.438233 \nL 104.08856 69.869685 \nL 104.110798 69.921371 \nL 104.244221 70.097104 \nL 104.310932 70.040249 \nL 104.355407 69.900696 \nL 104.377644 70.050586 \nL 104.48883 70.629472 \nL 104.511067 70.479582 \nL 104.600016 70.18497 \nL 104.622253 70.278006 \nL 104.64449 70.365872 \nL 104.711202 70.221151 \nL 104.844625 69.564736 \nL 104.866862 69.724963 \nL 104.911336 70.402052 \nL 104.978048 70.081598 \nL 105.044759 69.528556 \nL 105.089234 69.988563 \nL 105.155945 70.164296 \nL 105.20042 70.060924 \nL 105.267131 69.766312 \nL 105.378317 69.900696 \nL 105.400554 69.957551 \nL 105.422792 69.564736 \nL 105.51174 69.916202 \nL 105.533977 69.843842 \nL 105.556215 69.973057 \nL 105.578452 69.973057 \nL 105.622926 70.2625 \nL 105.689638 69.96272 \nL 105.734112 70.107441 \nL 105.756349 69.854179 \nL 105.823061 70.195308 \nL 105.845298 70.009237 \nL 105.934247 69.823167 \nL 105.889772 70.066092 \nL 105.956484 69.9989 \nL 106.045433 69.66294 \nL 106.000958 70.190139 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108.402574 69.352823 \nL 108.447049 69.936877 \nL 108.51376 69.776649 \nL 108.580472 69.916202 \nL 108.624946 69.569905 \nL 108.847318 70.526099 \nL 108.980741 69.96272 \nL 109.002978 70.11261 \nL 109.047453 69.988563 \nL 109.091927 70.226319 \nL 109.203113 69.838673 \nL 109.22535 69.864516 \nL 109.425485 70.805205 \nL 109.447722 70.608797 \nL 109.469959 70.613966 \nL 109.492196 70.836217 \nL 109.558908 70.417558 \nL 109.581145 70.241825 \nL 109.647857 70.407221 \nL 109.692331 70.489919 \nL 109.714568 70.360704 \nL 109.870229 69.740469 \nL 109.892466 69.807661 \nL 109.93694 69.947214 \nL 110.003652 69.874853 \nL 110.114838 69.838673 \nL 110.159312 70.050586 \nL 110.203786 69.745638 \nL 110.226024 69.885191 \nL 110.248261 69.936877 \nL 110.270498 69.724963 \nL 110.292735 69.724963 \nL 110.403921 70.324523 \nL 110.426158 70.29868 \nL 110.470633 70.122947 \nL 110.604056 69.823167 \nL 110.715242 70.29868 \nL 110.781953 70.210814 \nL 110.848665 69.926539 \nL 110.870902 70.14879 \nL 110.893139 70.376209 \nL 110.937614 70.133284 \nL 110.959851 70.14879 \nL 111.093274 69.843842 \nL 111.159985 69.497544 \nL 111.182223 69.585411 \nL 111.293408 70.195308 \nL 111.315646 70.143621 \nL 111.382357 70.024743 \nL 111.36012 70.246994 \nL 111.426832 70.076429 \nL 111.538018 70.500256 \nL 111.560255 70.779362 \nL 111.649203 70.567448 \nL 111.671441 70.541605 \nL 111.849338 69.642265 \nL 111.893812 69.926539 \nL 111.982761 70.215982 \nL 112.027236 70.18497 \nL 112.116184 69.817998 \nL 112.182896 70.03508 \nL 112.271845 69.96272 \nL 112.383031 70.340029 \nL 112.405268 70.231488 \nL 112.471979 70.004069 \nL 112.516454 70.045418 \nL 112.560928 70.267668 \nL 112.649877 70.14879 \nL 112.672114 70.164296 \nL 112.761063 69.792155 \nL 112.7833 69.96272 \nL 112.805537 70.117778 \nL 112.827774 69.916202 \nL 112.872249 69.947214 \nL 113.027909 69.709457 \nL 113.139095 70.360704 \nL 113.161332 70.18497 \nL 113.205806 70.272837 \nL 113.294755 70.076429 \nL 113.428178 69.47687 \nL 113.539364 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118.876289 70.469245 \nL 118.987475 70.314186 \nL 119.209846 69.905865 \nL 119.254321 69.802493 \nL 119.298795 69.461364 \nL 119.365507 69.487207 \nL 119.387744 69.569905 \nL 119.409981 69.497544 \nL 119.676827 65.068037 \nL 119.876962 61.894504 \nL 119.899199 62.044394 \nL 120.054859 67.590323 \nL 120.321706 79.421294 \nL 120.343943 79.292078 \nL 120.455129 76.51653 \nL 120.699738 67.145822 \nL 120.721975 67.254363 \nL 120.788687 67.962464 \nL 121.07777 74.175145 \nL 121.255667 76.847321 \nL 121.322379 76.335628 \nL 121.500277 70.681158 \nL 121.700411 65.274782 \nL 121.722648 65.259276 \nL 121.856071 67.86426 \nL 122.033969 71.973313 \nL 122.078443 71.725219 \nL 122.145155 70.526099 \nL 122.367527 64.799269 \nL 122.412001 64.292744 \nL 122.456475 64.685559 \nL 122.723322 72.562536 \nL 122.790033 71.425439 \nL 123.012405 59.108618 \nL 123.101354 62.018551 \nL 123.434912 83.980016 \nL 123.501623 82.553477 \nL 123.812944 63.806894 \nL 123.92413 66.246482 \nL 124.146502 72.335116 \nL 124.190976 71.937133 \nL 124.391111 70.59846 \nL 124.435585 70.877565 \nL 124.480059 70.743181 \nL 124.546771 70.831048 \nL 124.79138 67.026944 \nL 124.902566 65.378154 \nL 124.94704 65.967377 \nL 125.169412 70.675989 \nL 125.236124 70.391715 \nL 125.436258 67.368073 \nL 125.480733 68.086511 \nL 125.703105 74.991787 \nL 125.81429 76.976537 \nL 125.836528 76.847321 \nL 125.925476 70.407221 \nL 126.103374 54.033034 \nL 126.125611 54.431018 \nL 126.281271 72.402308 \nL 126.481406 87.26209 \nL 126.52588 86.745228 \nL 126.570355 85.261834 \nL 126.859438 60.318075 \nL 126.903913 61.139886 \nL 127.281945 77.632951 \nL 127.348656 74.516274 \nL 127.548791 60.199197 \nL 127.63774 62.768001 \nL 127.94906 74.83156 \nL 127.993535 74.56796 \nL 128.060246 73.038049 \nL 128.282618 63.750039 \nL 128.34933 64.085999 \nL 128.883022 79.726242 \nL 128.994208 79.503992 \nL 129.06092 79.901975 \nL 129.149868 64.023976 \nL 129.305529 34.754082 \nL 129.327766 36.361523 \nL 129.639086 100.679827 \nL 129.683561 96.720664 \nL 129.883695 54.038203 \nL 129.972644 36.976589 \nL 130.017118 39.51955 \nL 130.283965 97.723376 \nL 130.372913 86.889949 \nL 130.661997 35.265776 \nL 130.728708 44.615809 \nL 130.817657 76.237424 \nL 130.95108 105.714062 \nL 130.973317 103.507062 \nL 131.284638 49.045316 \nL 131.306875 49.432962 \nL 131.462536 82.139988 \nL 131.529247 92.482396 \nL 131.573721 87.794458 \nL 131.751619 52.43593 \nL 131.81833 56.767234 \nL 132.06294 93.939947 \nL 132.129651 87.86165 \nL 132.485446 29.828388 \nL 132.574395 37.353898 \nL 132.641106 68.608541 \nL 132.774529 116.780077 \nL 132.796767 116.428611 \nL 132.974664 60.865949 \nL 133.130324 30.784582 \nL 133.152562 31.663248 \nL 133.285985 77.255642 \nL 133.397171 110.009185 \nL 133.441645 108.014098 \nL 133.686254 44.791542 \nL 133.79744 52.647844 \nL 133.975337 89.88258 \nL 134.019812 85.525434 \nL 134.130998 60.028633 \nL 134.197709 62.711146 \nL 134.242184 66.117267 \nL 134.331132 82.760222 \nL 134.397844 79.721074 \nL 134.420081 79.669388 \nL 134.575741 68.696408 \nL 134.753639 56.21936 \nL 134.953774 82.827414 \nL 134.998248 78.191162 \nL 135.153908 70.557111 \nL 135.242857 74.805716 \nL 135.287331 71.813086 \nL 135.331806 69.492375 \nL 135.398517 70.624303 \nL 135.420755 70.567448 \nL 135.442992 70.11261 \nL 135.465229 70.856891 \nL 135.576415 77.012717 \nL 135.620889 74.986618 \nL 135.776549 64.189372 \nL 135.865498 27.673073 \nL 135.93221 39.550562 \nL 135.976684 47.293154 \nL 136.132344 111.192799 \nL 136.176819 107.833196 \nL 136.510377 27.04767 \nL 136.532614 29.549282 \nL 136.732748 121.63858 \nL 136.821697 95.552556 \nL 136.95512 43.82501 \nL 137.044069 44.79671 \nL 137.088543 48.176988 \nL 137.333152 100.535105 \nL 137.377627 90.812932 \nL 137.533287 38.20672 \nL 137.555524 39.933039 \nL 137.733422 91.278107 \nL 137.800133 85.12745 \nL 138.089217 52.777059 \nL 138.111454 55.392381 \nL 138.267114 88.228622 \nL 138.311589 82.346733 \nL 138.445012 57.206566 \nL 138.489486 60.659204 \nL 138.622909 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149.697027 66.851211 \nL 149.830451 77.684638 \nL 149.919399 77.291823 \nL 149.941636 77.250474 \nL 149.963874 77.395195 \nL 149.986111 77.669132 \nL 150.008348 77.22463 \nL 150.119534 45.840772 \nL 150.23072 56.906786 \nL 150.341906 97.330561 \nL 150.408617 83.788777 \nL 150.675464 48.481936 \nL 150.764412 60.085488 \nL 150.875598 94.198378 \nL 150.94231 86.109488 \nL 151.075733 54.079551 \nL 151.142445 62.793844 \nL 151.431528 86.207692 \nL 151.476002 79.881301 \nL 151.609425 53.479992 \nL 151.6539 57.738934 \nL 151.831797 70.588123 \nL 151.942983 81.49391 \nL 151.987458 86.517809 \nL 152.031932 80.310296 \nL 152.165355 56.115988 \nL 152.209829 59.692672 \nL 152.321015 75.152014 \nL 152.36549 74.38189 \nL 152.432201 70.644978 \nL 152.498913 72.748606 \nL 152.52115 73.151758 \nL 152.565624 72.329948 \nL 152.632336 67.135485 \nL 152.699047 60.876286 \nL 152.743522 64.49432 \nL 152.854708 78.899263 \nL 152.899182 75.291567 \nL 152.988131 62.84553 \nL 153.054842 68.484495 \nL 153.166028 78.185994 \nL 153.210503 74.319866 \nL 153.277214 59.899417 \nL 153.343926 68.417303 \nL 153.432875 80.563559 \nL 153.477349 77.110921 \nL 153.544061 69.502713 \nL 153.588535 71.792411 \nL 153.677484 76.909345 \nL 153.699721 75.415614 \nL 153.810907 36.883554 \nL 153.877618 50.843996 \nL 154.011041 105.264392 \nL 154.077753 86.124994 \nL 154.188939 59.966609 \nL 154.233413 65.042194 \nL 154.25565 67.156159 \nL 154.300125 61.636073 \nL 154.366836 51.479736 \nL 154.411311 56.849932 \nL 154.544734 92.720152 \nL 154.611445 85.173968 \nL 154.744869 55.242491 \nL 154.789343 62.747327 \nL 154.945003 71.099816 \nL 154.96724 71.182514 \nL 154.989478 70.422727 \nL 155.033952 72.665908 \nL 155.122901 84.109232 \nL 155.167375 77.720818 \nL 155.278561 53.438643 \nL 155.345273 57.061845 \nL 155.656593 89.262346 \nL 155.701067 84.181593 \nL 155.834491 54.818664 \nL 155.878965 58.286808 \nL 155.990151 73.156927 \nL 156.034625 70.288343 \nL 156.0791 67.254363 \nL 156.123574 69.115066 \nL 156.23476 77.359015 \nL 156.279234 74.542117 \nL 156.412657 68.825623 \nL 156.434895 68.970345 \nL 156.546081 75.694719 \nL 156.590555 71.885446 \nL 156.679504 62.116755 \nL 156.723978 65.564224 \nL 156.901875 79.927819 \nL 156.924113 77.9379 \nL 156.990824 68.148534 \nL 157.057536 72.417814 \nL 157.079773 72.505681 \nL 157.190959 65.352311 \nL 157.235433 68.008982 \nL 157.413331 75.183026 \nL 157.457805 65.491864 \nL 157.524517 43.421858 \nL 157.568991 56.06947 \nL 157.724651 92.534082 \nL 157.769126 87.634231 \nL 157.947023 70.701832 \nL 158.058209 50.937031 \nL 158.124921 61.615399 \nL 158.258344 80.85817 \nL 158.302818 78.759711 \nL 158.591902 62.421704 \nL 158.636376 64.246226 \nL 158.814273 82.346733 \nL 158.858748 77.627783 \nL 159.014408 57.020496 \nL 159.058882 60.297401 \nL 159.347966 85.732179 \nL 159.370203 84.82767 \nL 159.525863 59.527277 \nL 159.614812 66.458396 \nL 159.681524 71.130828 \nL 159.748235 70.365872 \nL 159.859421 79.328259 \nL 159.881658 80.496367 \nL 159.926133 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171.578418 71.327235 \nL 171.667367 67.952127 \nL 171.734078 68.711914 \nL 171.823027 66.391204 \nL 171.845264 67.223351 \nL 171.934213 71.864772 \nL 172.000924 71.642521 \nL 172.045399 72.242081 \nL 172.089873 71.544317 \nL 172.201059 67.848754 \nL 172.245533 69.001357 \nL 172.290008 70.732844 \nL 172.356719 70.050586 \nL 172.423431 65.951871 \nL 172.467905 62.540582 \nL 172.51238 66.386035 \nL 172.66804 74.035592 \nL 172.690277 73.399852 \nL 172.712514 72.552198 \nL 172.756989 73.761655 \nL 172.801463 76.619902 \nL 172.868175 74.200988 \nL 172.934886 67.590323 \nL 173.001598 59.754696 \nL 173.046072 62.690472 \nL 173.223969 71.838929 \nL 173.357393 75.208869 \nL 173.424104 73.653114 \nL 173.53529 65.295456 \nL 173.602002 68.525844 \nL 173.779899 72.479838 \nL 173.846611 67.853923 \nL 173.980034 64.639042 \nL 174.002271 64.509826 \nL 174.202406 75.684382 \nL 174.224643 75.50348 \nL 174.447015 63.2952 \nL 174.491489 64.763088 \nL 174.713861 74.929763 \nL 174.736098 74.361215 \nL 174.95847 67.41459 \nL 174.980707 67.709202 \nL 175.180842 70.732844 \nL 175.247553 73.963231 \nL 175.314265 72.09736 \nL 175.536637 67.7919 \nL 175.403214 72.278261 \nL 175.581111 68.008982 \nL 175.647823 69.254619 \nL 175.714534 71.528812 \nL 175.759009 70.417558 \nL 175.847957 64.179034 \nL 175.892432 66.510082 \nL 176.048092 76.986874 \nL 176.092566 74.149302 \nL 176.248227 69.440689 \nL 176.403887 60.03897 \nL 176.448361 62.680135 \nL 176.626259 76.997211 \nL 176.648496 76.51653 \nL 176.826393 72.050842 \nL 176.893105 70.660483 \nL 177.026528 63.899929 \nL 177.048765 64.964665 \nL 177.182188 72.91917 \nL 177.2489 71.487463 \nL 177.315612 69.420015 \nL 177.337849 70.241825 \nL 177.426798 73.022543 \nL 177.471272 72.180058 \nL 177.582458 66.375698 \nL 177.693644 67.249194 \nL 177.916016 73.952894 \nL 177.982727 74.014918 \nL 178.093913 69.053043 \nL 178.138387 66.608286 \nL 178.205099 67.507625 \nL 178.294048 70.215982 \nL 178.338522 69.451026 \nL 178.382996 68.866972 \nL 178.427471 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188.033935 70.800036 \nL 188.256307 68.360448 \nL 188.300781 69.022031 \nL 188.434204 70.624303 \nL 188.456441 70.572617 \nL 188.634339 71.745894 \nL 188.678813 71.260043 \nL 188.812236 67.82808 \nL 188.901185 68.711914 \nL 189.190269 73.29648 \nL 189.212506 73.255131 \nL 189.390403 67.368073 \nL 189.501589 68.789443 \nL 189.701724 72.128371 \nL 189.723961 72.081854 \nL 189.790673 72.345453 \nL 189.924096 69.807661 \nL 190.035282 66.721995 \nL 190.079756 67.786731 \nL 190.168705 70.872397 \nL 190.235416 70.815542 \nL 190.324365 69.337317 \nL 190.368839 69.761144 \nL 190.413314 71.223863 \nL 190.480025 70.086767 \nL 190.613448 68.954839 \nL 190.635686 69.0272 \nL 190.724634 70.975769 \nL 190.791346 69.838673 \nL 190.858057 70.722507 \nL 190.880295 71.146334 \nL 190.924769 70.252163 \nL 191.080429 68.624047 \nL 191.347275 70.872397 \nL 191.369513 70.639809 \nL 191.569647 69.06338 \nL 191.591885 69.337317 \nL 191.792019 71.570161 \nL 191.858731 71.058467 \nL 191.992154 70.060924 \nL 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70.29868 \nL 206.40185 70.257331 \nL 206.446324 70.613966 \nL 206.513036 70.386547 \nL 206.601985 69.942045 \nL 206.624222 70.18497 \nL 206.646459 70.293511 \nL 206.668696 70.278006 \nL 206.713171 69.389003 \nL 206.779882 69.864516 \nL 206.802119 70.029912 \nL 206.846594 69.740469 \nL 206.868831 69.905865 \nL 206.891068 69.823167 \nL 206.935542 70.831048 \nL 207.002254 70.303849 \nL 207.046728 70.727676 \nL 207.091203 70.179802 \nL 207.180151 69.714626 \nL 207.202389 70.009237 \nL 207.246863 70.350366 \nL 207.2691 69.869685 \nL 207.335812 68.91349 \nL 207.380286 69.735301 \nL 207.42476 69.47687 \nL 207.469235 69.931708 \nL 207.491472 69.704289 \nL 207.647132 70.355535 \nL 207.691607 70.329692 \nL 207.758318 69.435521 \nL 207.847267 69.693952 \nL 207.869504 69.755975 \nL 207.891741 69.430352 \nL 207.958453 70.024743 \nL 207.98069 70.422727 \nL 208.025164 69.54923 \nL 208.047402 69.311474 \nL 208.069639 69.420015 \nL 208.114113 70.613966 \nL 208.180825 69.683614 \nL 208.225299 69.528556 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210.204409 70.329692 \nL 210.248883 69.880022 \nL 210.293357 69.394172 \nL 210.337832 70.231488 \nL 210.493492 68.985851 \nL 210.582441 70.050586 \nL 210.604678 69.776649 \nL 210.649152 68.841129 \nL 210.693627 70.536437 \nL 210.715864 70.458907 \nL 210.782575 69.66294 \nL 210.849287 69.869685 \nL 210.915999 70.670821 \nL 210.960473 69.96272 \nL 210.98271 69.487207 \nL 211.049422 69.817998 \nL 211.13837 69.81283 \nL 211.205082 71.316898 \nL 211.294031 71.440945 \nL 211.360742 70.479582 \nL 211.382979 70.515762 \nL 211.516403 68.841129 \nL 211.53864 69.569905 \nL 211.6943 70.644978 \nL 211.738774 70.164296 \nL 211.761012 70.453739 \nL 211.84996 71.658027 \nL 211.872197 71.208357 \nL 212.027858 69.714626 \nL 212.050095 69.631928 \nL 212.094569 69.745638 \nL 212.227992 70.758687 \nL 212.161281 69.735301 \nL 212.272467 70.417558 \nL 212.294704 70.407221 \nL 212.316941 70.510593 \nL 212.361416 71.260043 \nL 212.40589 70.257331 \nL 212.428127 70.200476 \nL 212.472602 70.670821 \nL 212.517076 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216.519769 69.507881 \nL 216.564244 69.967888 \nL 216.653192 70.707001 \nL 216.67543 70.500256 \nL 216.764378 70.696664 \nL 216.808853 69.911034 \nL 216.853327 69.337317 \nL 216.942276 69.569905 \nL 216.98675 69.683614 \nL 217.164648 70.63464 \nL 217.186885 70.681158 \nL 217.253596 70.350366 \nL 217.275834 70.696664 \nL 217.298071 70.588123 \nL 217.475968 69.69912 \nL 217.342545 70.696664 \nL 217.520443 69.776649 \nL 217.564917 70.443401 \nL 217.587154 69.916202 \nL 217.631628 69.053043 \nL 217.676103 70.091935 \nL 217.742814 70.644978 \nL 217.765052 70.267668 \nL 217.787289 69.637097 \nL 217.831763 70.613966 \nL 217.854 71.120491 \nL 217.898475 70.293511 \nL 217.942949 70.650146 \nL 218.009661 69.921371 \nL 218.076372 70.03508 \nL 218.098609 70.138453 \nL 218.143084 70.009237 \nL 218.165321 69.823167 \nL 218.187558 70.040249 \nL 218.232032 71.079142 \nL 218.276507 69.900696 \nL 218.298744 69.709457 \nL 218.320981 70.288343 \nL 218.343218 70.675989 \nL 218.387693 70.236657 \nL 218.40993 69.657771 \nL 218.476642 70.086767 \nL 218.521116 70.433064 \nL 218.543353 70.210814 \nL 218.587827 69.295968 \nL 218.632302 70.267668 \nL 218.654539 69.942045 \nL 218.676776 69.714626 \nL 218.721251 70.174633 \nL 218.765725 69.802493 \nL 218.810199 69.957551 \nL 218.921385 69.430352 \nL 218.876911 70.396884 \nL 218.943622 69.461364 \nL 218.988097 69.786987 \nL 219.010334 69.874853 \nL 219.054808 69.616422 \nL 219.099283 69.704289 \nL 219.143757 70.122947 \nL 219.188231 69.430352 \nL 219.210469 69.36316 \nL 219.27718 70.443401 \nL 219.343892 69.84901 \nL 219.410603 69.802493 \nL 219.455078 70.122947 \nL 219.544026 70.283174 \nL 219.588501 69.36316 \nL 219.632975 70.655315 \nL 219.721924 70.433064 \nL 219.744161 70.427896 \nL 219.83311 69.69912 \nL 219.877584 69.993732 \nL 219.966533 69.978226 \nL 220.033244 70.789699 \nL 220.277854 69.311474 \nL 220.411277 70.593291 \nL 220.433514 70.567448 \nL 220.522463 70.44857 \nL 220.477988 70.63464 \nL 220.566937 70.531268 \nL 220.655886 70.877565 \nL 220.744834 70.215982 \nL 220.789309 70.293511 \nL 220.833783 70.825879 \nL 220.85602 70.350366 \nL 220.922732 70.386547 \nL 220.989443 69.332148 \nL 221.078392 69.151247 \nL 221.122867 70.86206 \nL 221.167341 68.846298 \nL 221.25629 69.420015 \nL 221.323001 70.613966 \nL 221.345238 69.564736 \nL 221.456424 68.598204 \nL 221.41195 70.33486 \nL 221.478662 68.841129 \nL 221.523136 69.911034 \nL 221.589847 69.657771 \nL 221.634322 69.0272 \nL 221.678796 69.445858 \nL 221.812219 70.469245 \nL 221.856694 69.828336 \nL 221.878931 70.252163 \nL 221.901168 70.949926 \nL 221.945642 69.559567 \nL 221.96788 69.414846 \nL 222.012354 70.464076 \nL 222.101303 70.081598 \nL 222.12354 69.668108 \nL 222.212489 69.947214 \nL 222.368149 70.758687 \nL 222.434861 70.402052 \nL 222.523809 69.905865 \nL 222.546046 69.952383 \nL 222.657232 70.603629 \nL 222.612758 69.668108 \nL 222.67947 70.500256 \nL 222.723944 69.559567 \nL 222.812893 69.709457 \nL 222.946316 70.882734 \nL 222.99079 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226.86006 69.942045 \nL 226.949009 69.828336 \nL 226.993483 70.41239 \nL 227.104669 69.678446 \nL 227.060195 70.515762 \nL 227.126907 69.859347 \nL 227.171381 70.758687 \nL 227.193618 69.440689 \nL 227.26033 70.097104 \nL 227.304804 68.732588 \nL 227.460464 70.955095 \nL 227.504939 69.771481 \nL 227.549413 70.867228 \nL 227.57165 71.249706 \nL 227.593887 70.41239 \nL 227.660599 71.446114 \nL 227.727311 68.79978 \nL 227.771785 71.404765 \nL 227.838497 70.215982 \nL 227.860734 70.293511 \nL 227.927445 70.820711 \nL 227.97192 69.032368 \nL 228.060868 68.732588 \nL 228.12758 71.590835 \nL 228.172054 68.355279 \nL 228.238766 69.724963 \nL 228.261003 69.368329 \nL 228.28324 70.691495 \nL 228.305477 70.89824 \nL 228.327715 70.288343 \nL 228.372189 70.665652 \nL 228.438901 70.800036 \nL 228.505612 69.564736 \nL 228.550086 71.663196 \nL 228.594561 69.254619 \nL 228.639035 71.652858 \nL 228.705747 68.980682 \nL 228.750221 70.557111 \nL 228.772458 70.753519 \nL 228.816933 68.27775 \nL 228.861407 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69.482038 \nL 230.373536 69.740469 \nL 230.41801 71.658027 \nL 230.462484 68.779106 \nL 230.529196 71.301392 \nL 230.57367 69.461364 \nL 230.640382 70.577786 \nL 230.662619 71.2342 \nL 230.707093 69.905865 \nL 230.729331 69.724963 \nL 230.751568 70.283174 \nL 230.773805 70.453739 \nL 230.796042 69.802493 \nL 230.818279 69.378666 \nL 230.840517 69.84901 \nL 230.884991 71.208357 \nL 230.929465 69.32698 \nL 230.996177 71.04813 \nL 231.040651 69.900696 \nL 231.085126 68.897984 \nL 231.1296 70.665652 \nL 231.151837 70.515762 \nL 231.28526 69.223607 \nL 231.463158 71.358247 \nL 231.618818 69.843842 \nL 231.641055 69.807661 \nL 231.707767 69.347654 \nL 231.774478 70.893071 \nL 231.818953 69.0272 \nL 231.907901 69.905865 \nL 231.952376 70.309017 \nL 231.974613 69.781818 \nL 231.99685 69.606085 \nL 232.019087 69.766312 \nL 232.085799 69.440689 \nL 232.130273 70.417558 \nL 232.196985 69.140909 \nL 232.219222 69.724963 \nL 232.241459 70.541605 \nL 232.308171 69.440689 \nL 232.374882 70.717338 \nL 232.39712 70.102273 \nL 232.463831 70.33486 \nL 232.530543 69.156415 \nL 232.575017 70.56228 \nL 232.663966 70.396884 \nL 232.775152 69.926539 \nL 232.797389 69.952383 \nL 232.8641 70.965432 \nL 232.886338 70.743181 \nL 232.975286 71.079142 \nL 233.019761 69.461364 \nL 233.064235 70.696664 \nL 233.153184 70.376209 \nL 233.175421 70.360704 \nL 233.242133 69.704289 \nL 233.26437 70.128116 \nL 233.308844 70.686327 \nL 233.331081 70.422727 \nL 233.353318 69.51305 \nL 233.442267 70.086767 \nL 233.508979 69.637097 \nL 233.531216 70.14879 \nL 233.553453 70.613966 \nL 233.597928 69.62676 \nL 233.620165 69.507881 \nL 233.709113 70.33486 \nL 233.731351 70.122947 \nL 233.842537 69.740469 \nL 233.798062 70.179802 \nL 233.864774 69.973057 \nL 233.909248 70.329692 \nL 233.953722 69.864516 \nL 233.97596 69.740469 \nL 233.998197 70.004069 \nL 234.042671 70.29868 \nL 234.064908 69.771481 \nL 234.153857 69.843842 \nL 234.176094 69.502713 \nL 234.309517 70.376209 \nL 234.331755 70.841385 \nL 234.376229 69.761144 \nL 234.420703 70.541605 \nL 234.442941 70.779362 \nL 234.487415 70.381378 \nL 234.598601 69.874853 \nL 234.620838 70.019575 \nL 234.643075 69.895528 \nL 234.665312 70.004069 \nL 234.68755 70.365872 \nL 234.732024 69.761144 \nL 234.754261 69.430352 \nL 234.776498 70.076429 \nL 234.798736 70.696664 \nL 234.84321 69.544062 \nL 234.865447 69.192595 \nL 234.887684 70.004069 \nL 234.932159 70.758687 \nL 234.976633 69.854179 \nL 235.15453 70.510593 \nL 235.176768 70.195308 \nL 235.199005 69.771481 \nL 235.265716 70.613966 \nL 235.310191 69.843842 \nL 235.39914 70.231488 \nL 235.532563 70.520931 \nL 235.465851 70.159127 \nL 235.5548 70.376209 \nL 235.577037 70.314186 \nL 235.599274 70.738013 \nL 235.665986 70.386547 \nL 235.688223 70.024743 \nL 235.732697 70.479582 \nL 235.777172 70.169465 \nL 235.821646 70.417558 \nL 235.86612 70.128116 \nL 235.910595 70.355535 \nL 235.977306 70.014406 \nL 236.021781 70.231488 \nL 236.088492 70.117778 \nL 236.110729 70.345198 \nL 236.177441 69.988563 \nL 236.221915 69.854179 \nL 236.244153 70.117778 \nL 236.355338 70.500256 \nL 236.510999 69.885191 \nL 236.555473 70.396884 \nL 236.599948 69.544062 \nL 236.666659 70.029912 \nL 236.711133 69.69912 \nL 236.733371 69.637097 \nL 236.777845 70.086767 \nL 236.822319 69.575073 \nL 236.844557 69.595748 \nL 236.889031 69.895528 \nL 236.97798 69.864516 \nL 237.13364 70.293511 \nL 237.155877 70.272837 \nL 237.2893 69.678446 \nL 237.333775 70.040249 \nL 237.378249 69.69912 \nL 237.444961 69.420015 \nL 237.489435 69.709457 \nL 237.511672 69.874853 \nL 237.556146 69.637097 \nL 237.578384 69.502713 \nL 237.600621 69.854179 \nL 237.645095 70.355535 \nL 237.711807 69.874853 \nL 237.84523 70.210814 \nL 237.867467 70.014406 \nL 237.911941 69.771481 \nL 237.978653 69.947214 \nL 238.023127 70.190139 \nL 238.067602 69.792155 \nL 238.089839 69.668108 \nL 238.112076 69.874853 \nL 238.134313 69.802493 \nL 238.245499 70.438233 \nL 238.289974 70.169465 \nL 238.312211 70.159127 \nL 238.334448 70.210814 \nL 238.445634 70.520931 \nL 238.467871 70.376209 \nL 238.623531 70.014406 \nL 238.645769 70.040249 \nL 238.779192 70.520931 \nL 238.71248 69.792155 \nL 238.801429 70.438233 \nL 238.823666 70.293511 \nL 238.86814 70.675989 \nL 238.890378 70.800036 \nL 238.934852 70.603629 \nL 239.090512 69.637097 \nL 239.112749 69.678446 \nL 239.201698 70.252163 \nL 239.223935 70.024743 \nL 239.26841 69.637097 \nL 239.312884 70.355535 \nL 239.335121 70.210814 \nL 239.357359 70.324523 \nL 239.379596 70.675989 \nL 239.446307 70.076429 \nL 239.468544 70.045418 \nL 239.490782 70.086767 \nL 239.535256 70.779362 \nL 239.57973 70.076429 \nL 239.646442 70.200476 \nL 239.713153 69.544062 \nL 239.779865 70.345198 \nL 239.824339 69.885191 \nL 239.891051 69.771481 \nL 239.913288 69.647434 \nL 239.957763 69.978226 \nL 239.98 70.117778 \nL 240.002237 69.890359 \nL 240.13566 69.39934 \nL 240.424743 70.303849 \nL 240.513692 69.792155 \nL 240.535929 69.957551 \nL 240.602641 69.926539 \nL 240.69159 70.686327 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243.604661 70.396884 \nL 243.738084 69.973057 \nL 243.760321 70.174633 \nL 243.827033 70.004069 \nL 243.84927 69.833504 \nL 243.871507 70.11261 \nL 243.915981 70.060924 \nL 243.982693 70.458907 \nL 244.049405 70.283174 \nL 244.093879 70.500256 \nL 244.116116 70.138453 \nL 244.138353 70.060924 \nL 244.160591 70.241825 \nL 244.205065 70.18497 \nL 244.227302 70.159127 \nL 244.360725 69.595748 \nL 244.4052 69.802493 \nL 244.427437 69.683614 \nL 244.494148 69.347654 \nL 244.516385 69.471701 \nL 244.649809 69.843842 \nL 244.694283 69.931708 \nL 244.71652 69.631928 \nL 244.760995 70.060924 \nL 244.805469 70.510593 \nL 244.849943 70.128116 \nL 244.938892 69.523387 \nL 244.961129 69.647434 \nL 245.005604 70.293511 \nL 245.072315 69.740469 \nL 245.183501 70.11261 \nL 245.205738 70.086767 \nL 245.339161 69.585411 \nL 245.58377 70.769024 \nL 245.606008 70.665652 \nL 245.917328 69.51305 \nL 245.961803 69.709457 \nL 246.1397 70.33486 \nL 246.184174 70.040249 \nL 246.29536 69.781818 \nL 246.317597 69.81283 \nL 246.451021 70.464076 \nL 246.495495 70.252163 \nL 246.539969 70.076429 \nL 246.562207 70.340029 \nL 246.584444 70.500256 \nL 246.628918 70.252163 \nL 246.673392 70.345198 \nL 246.717867 70.179802 \nL 246.740104 69.911034 \nL 246.784578 70.303849 \nL 246.806816 70.055755 \nL 246.962476 70.572617 \nL 247.051425 70.582954 \nL 247.095899 70.252163 \nL 247.184848 70.019575 \nL 247.296034 70.975769 \nL 247.340508 70.593291 \nL 247.473931 70.071261 \nL 247.496168 70.402052 \nL 247.540643 70.624303 \nL 247.56288 70.324523 \nL 247.585117 69.900696 \nL 247.629591 70.433064 \nL 247.651829 70.763856 \nL 247.674066 70.422727 \nL 247.71854 68.970345 \nL 247.740777 70.619135 \nL 247.763015 71.823423 \nL 247.807489 68.670565 \nL 247.829726 67.988307 \nL 247.851963 69.39934 \nL 247.896438 70.670821 \nL 247.940912 69.668108 \nL 247.963149 69.202933 \nL 247.985386 69.766312 \nL 248.029861 71.694207 \nL 248.096572 70.190139 \nL 248.141047 71.316898 \nL 248.185521 69.642265 \nL 248.229995 70.48475 \nL 248.252233 70.696664 \nL 248.27447 70.675989 \nL 248.43013 69.068549 \nL 248.452367 69.078886 \nL 248.541316 69.766312 \nL 248.563553 69.259788 \nL 248.58579 68.670565 \nL 248.630265 70.360704 \nL 248.652502 70.872397 \nL 248.674739 69.776649 \nL 248.696976 69.295968 \nL 248.741451 70.691495 \nL 248.785925 69.466532 \nL 248.897111 69.66294 \nL 248.941585 70.464076 \nL 249.030534 70.060924 \nL 249.119483 70.190139 \nL 249.163957 69.047874 \nL 249.252906 68.779106 \nL 249.29738 70.655315 \nL 249.341855 68.923827 \nL 249.386329 70.195308 \nL 249.408566 70.944758 \nL 249.430803 69.771481 \nL 249.453041 68.406965 \nL 249.475278 70.417558 \nL 249.541989 67.476614 \nL 249.586464 74.025255 \nL 249.630938 66.47907 \nL 249.742124 66.680646 \nL 249.786598 73.580754 \nL 249.875547 70.48475 \nL 249.897784 73.994243 \nL 249.942259 66.484239 \nL 249.964496 66.654803 \nL 250.00897 74.325035 \nL 250.053445 66.091424 \nL 250.097919 74.169976 \nL 250.120156 73.601428 \nL 250.164631 66.194796 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252.477298 69.047874 \nL 252.588484 69.373497 \nL 252.632958 71.213526 \nL 252.677432 68.825623 \nL 252.721907 71.089479 \nL 252.766381 68.024487 \nL 252.810856 71.580498 \nL 252.85533 69.373497 \nL 252.899804 71.601172 \nL 252.944279 69.833504 \nL 252.966516 69.0272 \nL 252.988753 70.18497 \nL 253.055465 68.344942 \nL 253.122176 71.978481 \nL 253.166651 67.890103 \nL 253.233362 71.714882 \nL 253.322311 72.676245 \nL 253.366785 68.567192 \nL 253.433497 72.304105 \nL 253.522446 71.110153 \nL 253.589157 69.156415 \nL 253.611394 70.453739 \nL 253.678106 68.820455 \nL 253.72258 72.350622 \nL 253.856003 68.603373 \nL 253.87824 69.420015 \nL 253.967189 67.998644 \nL 254.011664 71.83376 \nL 254.056138 68.711914 \nL 254.145087 69.073717 \nL 254.167324 68.851467 \nL 254.211798 71.249706 \nL 254.256273 68.231232 \nL 254.300747 70.696664 \nL 254.322984 70.841385 \nL 254.367459 69.254619 \nL 254.43417 69.445858 \nL 254.456407 69.62676 \nL 254.478644 70.867228 \nL 254.567593 70.758687 \nL 254.612068 69.182258 \nL 254.656542 70.949926 \nL 254.723254 69.285631 \nL 254.812202 70.288343 \nL 254.834439 70.029912 \nL 254.923388 69.394172 \nL 254.945625 69.766312 \nL 255.056811 70.603629 \nL 255.079048 70.417558 \nL 255.167997 71.120491 \nL 255.212472 69.094392 \nL 255.256946 71.446114 \nL 255.30142 68.675734 \nL 255.345895 71.415102 \nL 255.390369 68.758431 \nL 255.501555 68.928996 \nL 255.546029 71.254875 \nL 255.634978 71.001612 \nL 255.679452 69.270125 \nL 255.723927 71.032624 \nL 255.768401 69.719795 \nL 255.790638 69.735301 \nL 255.835113 70.717338 \nL 255.924062 70.453739 \nL 255.968536 69.9989 \nL 256.035247 70.33486 \nL 256.101959 69.306305 \nL 256.146433 70.081598 \nL 256.168671 69.125403 \nL 256.213145 69.642265 \nL 256.235382 69.590579 \nL 256.257619 69.745638 \nL 256.368805 70.453739 \nL 256.324331 69.657771 \nL 256.391042 70.350366 \nL 256.41328 69.885191 \nL 256.457754 70.644978 \nL 256.502228 70.138453 \nL 256.591177 70.763856 \nL 256.613414 70.536437 \nL 256.657889 69.280462 \nL 256.702363 70.732844 \nL 256.746837 69.936877 \nL 256.791312 70.769024 \nL 256.813549 70.102273 \nL 256.835786 69.202933 \nL 256.880261 70.779362 \nL 256.924735 70.029912 \nL 256.946972 70.469245 \nL 257.013684 69.714626 \nL 257.035921 70.427896 \nL 257.058158 70.252163 \nL 257.147107 70.402052 \nL 257.191581 69.089223 \nL 257.347241 71.471957 \nL 257.391716 69.244282 \nL 257.458427 70.660483 \nL 257.525139 69.735301 \nL 257.547376 70.800036 \nL 257.569613 71.146334 \nL 257.658562 71.849266 \nL 257.703036 68.918659 \nL 257.769748 70.505425 \nL 257.858697 70.215982 \nL 257.903171 69.523387 \nL 257.99212 69.724963 \nL 258.058831 70.004069 \nL 258.103306 69.337317 \nL 258.14778 70.381378 \nL 258.192254 68.960008 \nL 258.414626 70.48475 \nL 258.503575 69.957551 \nL 258.525812 70.179802 \nL 258.548049 70.515762 \nL 258.592524 69.704289 \nL 258.659235 70.510593 \nL 258.681473 70.004069 \nL 258.70371 69.595748 \nL 258.725947 70.551942 \nL 258.748184 71.006781 \nL 258.792658 70.102273 \nL 258.814896 70.029912 \nL 258.837133 70.520931 \nL 258.926082 70.153959 \nL 258.992793 70.613966 \nL 259.059505 69.833504 \nL 259.215165 71.037793 \nL 259.370825 69.47687 \nL 259.4153 70.396884 \nL 259.459774 69.590579 \nL 259.482011 69.223607 \nL 259.504248 69.931708 \nL 259.526486 70.644978 \nL 259.57096 69.580242 \nL 259.615434 70.365872 \nL 259.682146 69.606085 \nL 259.704383 70.164296 \nL 259.771095 69.714626 \nL 259.815569 70.613966 \nL 259.904518 70.908577 \nL 259.948992 70.210814 \nL 259.971229 70.758687 \nL 260.015704 69.802493 \nL 260.037941 69.590579 \nL 260.082415 70.190139 \nL 260.12689 69.740469 \nL 260.260313 70.603629 \nL 260.327024 70.489919 \nL 260.371499 70.050586 \nL 260.43821 70.278006 \nL 260.482685 70.329692 \nL 260.504922 70.102273 \nL 260.571633 70.143621 \nL 260.616108 69.187427 \nL 260.771768 71.022287 \nL 260.816242 69.678446 \nL 260.860717 71.104985 \nL 260.905191 69.719795 \nL 260.949665 70.48475 \nL 261.016377 69.719795 \nL 261.060851 70.081598 \nL 261.083089 69.761144 \nL 261.105326 69.51305 \nL 261.1498 70.257331 \nL 261.172037 70.174633 \nL 261.260986 70.319355 \nL 261.30546 69.347654 \nL 261.461121 70.722507 \nL 261.505595 69.316642 \nL 261.550069 70.918914 \nL 261.594544 69.62676 \nL 261.639018 70.670821 \nL 261.683493 69.637097 \nL 261.70573 69.337317 \nL 261.727967 69.761144 \nL 261.816916 69.652603 \nL 261.86139 70.458907 \nL 261.905864 69.378666 \nL 261.950339 70.257331 \nL 261.972576 70.469245 \nL 261.994813 70.117778 \nL 262.01705 69.792155 \nL 262.061525 70.732844 \nL 262.194948 70.200476 \nL 262.217185 70.29868 \nL 262.261659 70.469245 \nL 262.283897 70.040249 \nL 262.328371 70.200476 \nL 262.372845 69.657771 \nL 262.439557 69.952383 \nL 262.461794 69.936877 \nL 262.484031 70.009237 \nL 262.528506 70.18497 \nL 262.550743 70.019575 \nL 262.595217 69.781818 \nL 262.617454 70.319355 \nL 262.72864 71.08431 \nL 262.684166 69.880022 \nL 262.750877 70.841385 \nL 262.884301 69.487207 \nL 263.039961 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267.531872 69.854179 \nL 267.576347 70.391715 \nL 267.598584 70.63464 \nL 267.620821 70.2625 \nL 267.643058 69.719795 \nL 267.732007 69.781818 \nL 267.798718 70.329692 \nL 267.843193 69.823167 \nL 267.909904 69.905865 \nL 267.954379 70.122947 \nL 267.998853 69.96272 \nL 268.02109 69.766312 \nL 268.043328 69.978226 \nL 268.176751 70.500256 \nL 268.221225 70.453739 \nL 268.243462 70.71217 \nL 268.287937 70.231488 \nL 268.399122 69.466532 \nL 268.354648 70.515762 \nL 268.42136 69.523387 \nL 268.554783 70.495088 \nL 268.599257 70.128116 \nL 268.643732 70.546774 \nL 268.665969 70.63464 \nL 268.688206 70.381378 \nL 268.710443 70.128116 \nL 268.754917 70.722507 \nL 268.777155 70.918914 \nL 268.821629 70.438233 \nL 268.866103 70.846554 \nL 268.999526 69.859347 \nL 269.021764 69.880022 \nL 269.110712 69.54923 \nL 269.155187 70.391715 \nL 269.177424 70.309017 \nL 269.199661 69.766312 \nL 269.266373 70.464076 \nL 269.28861 70.453739 \nL 269.310847 70.169465 \nL 269.355321 70.913746 \nL 269.377559 70.918914 \nL 269.533219 69.606085 \nL 269.555456 69.859347 \nL 269.622168 69.817998 \nL 269.666642 70.433064 \nL 269.711116 69.755975 \nL 269.800065 70.102273 \nL 269.822302 70.004069 \nL 269.84454 70.138453 \nL 269.866777 70.510593 \nL 269.911251 69.854179 \nL 269.955725 70.241825 \nL 269.977963 70.355535 \nL 270.0002 69.942045 \nL 270.022437 69.730132 \nL 270.066911 70.2625 \nL 270.089149 70.433064 \nL 270.111386 69.823167 \nL 270.133623 69.828336 \nL 270.267046 70.526099 \nL 270.422706 69.36316 \nL 270.578367 70.210814 \nL 270.600604 69.880022 \nL 270.622841 69.657771 \nL 270.667315 70.246994 \nL 270.689553 70.376209 \nL 270.734027 70.004069 \nL 270.756264 70.055755 \nL 270.778501 69.833504 \nL 270.800738 69.673277 \nL 270.845213 69.978226 \nL 270.889687 69.817998 \nL 270.911924 69.983394 \nL 270.978636 69.931708 \nL 271.089822 69.564736 \nL 271.134296 69.864516 \nL 271.178771 69.538893 \nL 271.223245 69.657771 \nL 271.289957 69.445858 \nL 271.534566 70.56228 \nL 271.57904 70.071261 \nL 271.645752 70.200476 \nL 271.667989 70.164296 \nL 271.7347 70.458907 \nL 271.801412 70.391715 \nL 271.934835 69.414846 \nL 271.979309 69.611254 \nL 272.090495 70.040249 \nL 272.112732 69.993732 \nL 272.157207 69.740469 \nL 272.223918 69.797324 \nL 272.401816 70.355535 \nL 272.424053 70.055755 \nL 272.490765 70.365872 \nL 272.557476 69.797324 \nL 272.646425 69.373497 \nL 272.668662 69.62676 \nL 272.868797 70.510593 \nL 272.913271 70.59846 \nL 272.935508 70.391715 \nL 273.046694 70.066092 \nL 273.00222 70.551942 \nL 273.068931 70.179802 \nL 273.091169 70.293511 \nL 273.113406 70.004069 \nL 273.135643 69.668108 \nL 273.180117 70.438233 \nL 273.202354 70.086767 \nL 273.224592 70.045418 \nL 273.246829 70.324523 \nL 273.291303 69.885191 \nL 273.335778 70.102273 \nL 273.380252 70.190139 \nL 273.402489 70.050586 \nL 273.424726 69.745638 \nL 273.491438 70.340029 \nL 273.535912 70.174633 \nL 273.558149 70.458907 \nL 273.580387 70.474413 \nL 273.669335 70.655315 \nL 273.71381 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278.183484 69.838673 \nL 278.116772 70.360704 \nL 278.205721 69.983394 \nL 278.250196 70.479582 \nL 278.29467 69.947214 \nL 278.316907 70.091935 \nL 278.339144 69.854179 \nL 278.428093 69.911034 \nL 278.539279 70.303849 \nL 278.583753 70.190139 \nL 278.694939 69.885191 \nL 278.739414 70.03508 \nL 278.872837 70.526099 \nL 278.828362 69.993732 \nL 278.895074 70.495088 \nL 279.028497 69.828336 \nL 278.961785 70.74835 \nL 279.050734 69.905865 \nL 279.117446 70.33486 \nL 279.184157 70.205645 \nL 279.273106 69.755975 \nL 279.295343 69.942045 \nL 279.339818 70.024743 \nL 279.428766 69.792155 \nL 279.451004 69.952383 \nL 279.495478 70.091935 \nL 279.517715 69.869685 \nL 279.539952 69.693952 \nL 279.562189 70.205645 \nL 279.606664 69.833504 \nL 279.806799 70.489919 \nL 279.940222 69.895528 \nL 280.095882 70.41239 \nL 280.118119 70.360704 \nL 280.207068 69.942045 \nL 280.251542 69.973057 \nL 280.340491 70.407221 \nL 280.362728 70.303849 \nL 280.518388 69.606085 \nL 280.674049 70.267668 \nL 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70.179802 \nL 293.104635 70.091935 \nL 293.14911 70.41239 \nL 293.215821 70.169465 \nL 293.371482 69.843842 \nL 293.393719 69.916202 \nL 293.527142 70.417558 \nL 293.549379 70.210814 \nL 293.638328 70.226319 \nL 293.771751 70.572617 \nL 293.705039 70.143621 \nL 293.816225 70.44857 \nL 293.838462 70.893071 \nL 293.882937 70.205645 \nL 293.905174 70.257331 \nL 293.949648 70.319355 \nL 294.01636 70.231488 \nL 294.060834 70.33486 \nL 294.083071 70.18497 \nL 294.105309 70.117778 \nL 294.127546 70.128116 \nL 294.17202 70.644978 \nL 294.216495 70.024743 \nL 294.238732 70.231488 \nL 294.260969 70.246994 \nL 294.305443 69.730132 \nL 294.372155 69.993732 \nL 294.461104 70.102273 \nL 294.483341 70.371041 \nL 294.527815 69.600916 \nL 294.57229 70.045418 \nL 294.594527 70.174633 \nL 294.616764 69.84901 \nL 294.661238 69.993732 \nL 294.72795 69.497544 \nL 294.794661 69.735301 \nL 294.816899 69.817998 \nL 294.861373 69.69912 \nL 294.88361 69.420015 \nL 294.972559 69.497544 \nL 295.105982 70.236657 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297.240752 70.650146 \nL 297.463124 69.911034 \nL 297.529835 69.916202 \nL 297.641021 70.588123 \nL 297.707733 70.329692 \nL 297.72997 70.41239 \nL 297.752207 70.2625 \nL 297.841156 70.355535 \nL 297.88563 69.983394 \nL 297.930105 69.895528 \nL 297.974579 70.246994 \nL 297.996816 70.386547 \nL 298.063528 70.128116 \nL 298.152476 70.505425 \nL 298.196951 70.293511 \nL 298.241425 69.709457 \nL 298.308137 70.071261 \nL 298.374848 69.802493 \nL 298.44156 70.009237 \nL 298.463797 70.236657 \nL 298.552746 70.190139 \nL 298.619457 69.616422 \nL 298.708406 69.709457 \nL 298.75288 69.838673 \nL 298.775118 69.936877 \nL 298.841829 69.802493 \nL 298.864066 69.714626 \nL 298.886303 69.797324 \nL 298.975252 70.257331 \nL 299.019727 70.050586 \nL 299.064201 69.864516 \nL 299.108675 70.091935 \nL 299.15315 70.252163 \nL 299.197624 70.122947 \nL 299.264336 69.776649 \nL 299.30881 70.11261 \nL 299.353284 70.63464 \nL 299.419996 70.355535 \nL 299.486707 70.11261 \nL 299.508945 70.427896 \nL 299.531182 70.526099 \nL 299.664605 69.39934 \nL 299.886977 70.029912 \nL 299.909214 69.900696 \nL 299.931451 70.221151 \nL 299.998163 69.921371 \nL 300.042637 69.740469 \nL 300.109349 69.874853 \nL 300.131586 69.885191 \nL 300.220535 70.453739 \nL 300.265009 70.143621 \nL 300.287246 70.18497 \nL 300.309483 70.091935 \nL 300.376195 69.833504 \nL 300.420669 70.040249 \nL 300.487381 69.786987 \nL 300.509618 69.967888 \nL 300.554092 70.128116 \nL 300.598567 69.947214 \nL 300.620804 70.040249 \nL 300.665278 69.704289 \nL 300.709753 70.128116 \nL 300.843176 69.755975 \nL 300.909887 69.843842 \nL 301.021073 70.324523 \nL 301.065548 70.665652 \nL 301.154496 70.474413 \nL 301.243445 69.724963 \nL 301.376868 69.885191 \nL 301.421343 70.029912 \nL 301.44358 70.44857 \nL 301.532529 70.345198 \nL 301.554766 70.381378 \nL 301.577003 70.215982 \nL 301.59924 70.18497 \nL 301.621477 70.278006 \nL 301.643714 70.283174 \nL 301.665952 70.293511 \nL 301.710426 69.745638 \nL 301.799375 69.921371 \nL 301.843849 70.040249 \nL 301.866086 70.029912 \nL 301.888324 69.740469 \nL 301.955035 70.040249 \nL 301.977272 69.988563 \nL 302.021747 70.179802 \nL 302.088458 70.029912 \nL 302.132933 69.864516 \nL 302.377542 70.593291 \nL 302.599913 70.050586 \nL 302.644388 70.18497 \nL 302.666625 69.96272 \nL 302.688862 70.138453 \nL 302.711099 69.967888 \nL 302.777811 70.029912 \nL 302.955708 70.717338 \nL 303.089132 69.9989 \nL 303.111369 70.293511 \nL 303.155843 70.546774 \nL 303.222555 70.386547 \nL 303.333741 70.551942 \nL 303.267029 70.309017 \nL 303.355978 70.443401 \nL 303.556112 69.988563 \nL 303.645061 69.921371 \nL 303.689536 69.631928 \nL 303.711773 69.947214 \nL 303.73401 69.921371 \nL 303.867433 70.288343 \nL 303.934145 70.190139 \nL 304.089805 69.559567 \nL 304.134279 69.926539 \nL 304.223228 70.174633 \nL 304.267702 70.097104 \nL 304.312177 69.9989 \nL 304.334414 70.159127 \nL 304.378888 70.066092 \nL 304.423363 70.252163 \nL 304.4456 70.33486 \nL 304.467837 70.11261 \nL 304.534549 69.456195 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307.225248 69.96272 \nL 307.29196 70.040249 \nL 307.314197 70.283174 \nL 307.380908 69.973057 \nL 307.403145 70.060924 \nL 307.514331 70.324523 \nL 307.44762 69.96272 \nL 307.558806 70.205645 \nL 307.647754 69.714626 \nL 307.692229 69.921371 \nL 307.847889 70.215982 \nL 307.892364 70.081598 \nL 307.914601 70.272837 \nL 308.025787 70.489919 \nL 308.181447 70.117778 \nL 308.203684 70.246994 \nL 308.270396 70.443401 \nL 308.31487 70.246994 \nL 308.403819 69.967888 \nL 308.426056 70.066092 \nL 308.47053 70.303849 \nL 308.537242 70.153959 \nL 308.559479 70.14879 \nL 308.581716 70.360704 \nL 308.626191 69.96272 \nL 308.648428 69.9989 \nL 308.715139 70.081598 \nL 308.781851 70.438233 \nL 308.826325 70.081598 \nL 308.937511 70.619135 \nL 308.981986 70.505425 \nL 309.137646 69.802493 \nL 309.18212 70.03508 \nL 309.204357 69.988563 \nL 309.226595 70.138453 \nL 309.271069 70.288343 \nL 309.315543 70.500256 \nL 309.382255 70.283174 \nL 309.426729 70.314186 \nL 309.448967 70.226319 \nL 309.537915 69.745638 \nL 309.493441 70.355535 \nL 309.560152 70.014406 \nL 309.671338 70.396884 \nL 309.693576 70.2625 \nL 309.715813 70.040249 \nL 309.804761 70.190139 \nL 309.871473 70.205645 \nL 309.915947 69.96272 \nL 309.982659 70.210814 \nL 310.004896 69.978226 \nL 310.093845 69.290799 \nL 310.116082 69.817998 \nL 310.227268 70.18497 \nL 310.249505 70.014406 \nL 310.29398 70.314186 \nL 310.338454 70.086767 \nL 310.382928 70.293511 \nL 310.405165 69.967888 \nL 310.427403 69.62676 \nL 310.494114 69.96272 \nL 310.583063 70.226319 \nL 310.627537 70.091935 \nL 310.783198 69.538893 \nL 310.916621 69.761144 \nL 311.050044 70.246994 \nL 311.094518 69.823167 \nL 311.16123 70.055755 \nL 311.31689 69.306305 \nL 311.205704 70.18497 \nL 311.339127 69.611254 \nL 311.428076 70.050586 \nL 311.450313 69.637097 \nL 311.494788 70.128116 \nL 311.561499 69.890359 \nL 311.628211 69.585411 \nL 311.672685 69.647434 \nL 311.806108 70.376209 \nL 311.87282 70.469245 \nL 311.939531 69.9989 \nL 311.984006 70.319355 \nL 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70.190139 \nL 314.407859 70.246994 \nL 314.430096 70.18497 \nL 314.452333 70.091935 \nL 314.47457 70.303849 \nL 314.585756 70.701832 \nL 314.607993 70.644978 \nL 314.741417 69.766312 \nL 314.763654 70.257331 \nL 314.852603 69.957551 \nL 314.941551 70.169465 \nL 314.963788 70.060924 \nL 314.986026 69.802493 \nL 315.0305 70.081598 \nL 315.074974 69.864516 \nL 315.163923 69.817998 \nL 315.230635 70.402052 \nL 315.341821 69.947214 \nL 315.364058 69.978226 \nL 315.408532 69.900696 \nL 315.453007 70.510593 \nL 315.519718 70.278006 \nL 315.608667 70.102273 \nL 315.697616 70.479582 \nL 315.719853 70.33486 \nL 315.808801 70.024743 \nL 315.853276 70.164296 \nL 315.875513 70.221151 \nL 315.89775 70.169465 \nL 315.919987 70.004069 \nL 315.964462 70.226319 \nL 316.008936 70.081598 \nL 316.142359 69.564736 \nL 316.164596 69.595748 \nL 316.275782 70.572617 \nL 316.29802 70.29868 \nL 316.364731 69.921371 \nL 316.409205 70.179802 \nL 316.45368 70.278006 \nL 316.475917 70.510593 \nL 316.542629 70.164296 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318.877533 69.931708 \nL 318.944245 70.314186 \nL 319.033193 70.732844 \nL 319.055431 70.48475 \nL 319.188854 69.890359 \nL 319.322277 70.355535 \nL 319.277802 69.833504 \nL 319.366751 70.133284 \nL 319.388988 70.102273 \nL 319.411226 70.231488 \nL 319.433463 70.200476 \nL 319.477937 70.433064 \nL 319.544649 70.221151 \nL 319.655835 70.309017 \nL 319.76702 70.536437 \nL 319.700309 70.272837 \nL 319.789258 70.469245 \nL 319.967155 69.921371 \nL 320.01163 70.169465 \nL 320.056104 69.895528 \nL 320.145053 69.771481 \nL 320.16729 69.828336 \nL 320.189527 70.03508 \nL 320.278476 69.864516 \nL 320.300713 69.781818 \nL 320.32295 69.905865 \nL 320.345187 70.050586 \nL 320.434136 69.96272 \nL 320.47861 69.833504 \nL 320.567559 69.936877 \nL 320.589796 70.040249 \nL 320.612034 69.905865 \nL 320.656508 69.580242 \nL 320.700982 70.050586 \nL 320.87888 70.438233 \nL 320.990066 70.396884 \nL 321.03454 69.900696 \nL 321.101252 70.060924 \nL 321.123489 70.215982 \nL 321.1902 70.045418 \nL 321.212438 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326.060144 69.916202 \nL 326.082381 70.03508 \nL 326.126855 69.69912 \nL 326.149093 69.874853 \nL 326.193567 69.947214 \nL 326.282516 69.533724 \nL 326.304753 69.595748 \nL 326.349227 70.071261 \nL 326.415939 69.595748 \nL 326.616074 70.515762 \nL 326.638311 70.495088 \nL 326.771734 70.040249 \nL 326.793971 70.086767 \nL 326.816208 70.128116 \nL 326.860683 69.430352 \nL 326.949631 69.704289 \nL 327.060817 70.128116 \nL 327.083054 70.076429 \nL 327.105292 70.004069 \nL 327.127529 70.071261 \nL 327.172003 70.536437 \nL 327.238715 70.458907 \nL 327.305426 70.526099 \nL 327.349901 70.200476 \nL 327.438849 70.686327 \nL 327.483324 70.474413 \nL 327.527798 69.96272 \nL 327.616747 70.190139 \nL 327.75017 70.44857 \nL 327.861356 70.241825 \nL 327.972542 70.004069 \nL 328.017016 70.309017 \nL 328.083728 70.272837 \nL 328.172677 69.683614 \nL 328.217151 69.952383 \nL 328.239388 69.890359 \nL 328.261625 70.004069 \nL 328.328337 69.942045 \nL 328.417286 70.11261 \nL 328.506234 70.396884 \nL 328.550709 70.365872 \nL 328.773081 69.357991 \nL 328.839792 69.673277 \nL 328.950978 70.190139 \nL 328.973215 70.076429 \nL 329.01769 69.766312 \nL 329.084401 69.9989 \nL 329.106638 69.931708 \nL 329.128875 70.081598 \nL 329.17335 69.869685 \nL 329.284536 70.588123 \nL 329.506908 69.502713 \nL 329.662568 70.179802 \nL 329.684805 70.097104 \nL 329.729279 70.33486 \nL 329.751517 70.159127 \nL 329.773754 69.838673 \nL 329.840465 70.200476 \nL 329.862703 70.329692 \nL 329.907177 70.11261 \nL 330.018363 69.678446 \nL 330.107312 69.745638 \nL 330.151786 70.215982 \nL 330.240735 70.200476 \nL 330.329683 70.541605 \nL 330.351921 70.443401 \nL 330.485344 70.009237 \nL 330.529818 69.931708 \nL 330.59653 69.947214 \nL 330.618767 69.693952 \nL 330.729953 70.107441 \nL 330.796664 69.926539 \nL 330.841139 70.107441 \nL 330.90785 70.350366 \nL 330.952325 70.246994 \nL 331.085748 69.869685 \nL 331.174697 70.283174 \nL 331.219171 70.246994 \nL 331.330357 69.838673 \nL 331.285882 70.365872 \nL 331.352594 70.029912 \nL 331.374831 70.195308 \nL 331.441543 69.942045 \nL 331.486017 69.807661 \nL 331.530491 69.895528 \nL 331.597203 70.572617 \nL 331.663915 70.195308 \nL 331.686152 69.936877 \nL 331.730626 70.303849 \nL 331.752863 70.29868 \nL 331.819575 70.050586 \nL 331.908524 70.153959 \nL 331.997472 70.133284 \nL 332.01971 70.314186 \nL 332.064184 70.133284 \nL 332.108658 69.600916 \nL 332.197607 69.735301 \nL 332.219844 69.590579 \nL 332.264319 69.833504 \nL 332.308793 69.714626 \nL 332.442216 70.179802 \nL 332.508928 69.96272 \nL 332.575639 69.983394 \nL 332.620114 70.56228 \nL 332.686825 70.190139 \nL 332.864723 71.115322 \nL 332.931434 70.78453 \nL 332.975909 70.505425 \nL 333.04262 70.738013 \nL 333.109332 70.531268 \nL 333.19828 69.719795 \nL 333.242755 69.947214 \nL 333.376178 69.693952 \nL 333.442889 69.931708 \nL 333.465127 69.724963 \nL 333.487364 69.621591 \nL 333.509601 69.854179 \nL 333.531838 69.828336 \nL 333.643024 70.226319 \nL 333.665261 70.14879 \nL 333.687498 70.11261 \nL 333.709736 70.210814 \nL 333.776447 70.365872 \nL 333.798684 70.314186 \nL 333.954345 69.854179 \nL 334.087768 70.004069 \nL 334.110005 70.241825 \nL 334.154479 69.823167 \nL 334.176717 69.947214 \nL 334.354614 70.210814 \nL 334.443563 69.62676 \nL 334.510274 69.869685 \nL 334.599223 70.319355 \nL 334.62146 70.138453 \nL 334.710409 69.900696 \nL 334.732646 69.993732 \nL 334.754883 70.11261 \nL 334.777121 69.967888 \nL 334.821595 70.055755 \nL 334.843832 69.843842 \nL 334.910544 70.236657 \nL 334.955018 70.257331 \nL 335.02173 69.905865 \nL 335.066204 70.076429 \nL 335.110678 70.11261 \nL 335.132915 69.921371 \nL 335.155153 70.2625 \nL 335.199627 70.009237 \nL 335.221864 70.324523 \nL 335.266339 69.957551 \nL 335.288576 70.029912 \nL 335.355287 69.69912 \nL 335.444236 69.750806 \nL 335.533185 70.350366 \nL 335.644371 70.272837 \nL 335.688845 70.283174 \nL 335.822268 69.637097 \nL 335.933454 70.391715 \nL 336.000166 70.210814 \nL 336.066877 69.880022 \nL 336.111352 70.174633 \nL 336.133589 70.215982 \nL 336.155826 70.060924 \nL 336.178063 69.947214 \nL 336.244775 70.18497 \nL 336.267012 70.045418 \nL 336.311486 70.169465 \nL 336.333724 69.957551 \nL 336.400435 69.869685 \nL 336.444909 70.236657 \nL 336.489384 69.724963 \nL 336.645044 70.179802 \nL 336.556095 69.507881 \nL 336.667281 70.050586 \nL 336.689518 70.097104 \nL 336.75623 70.014406 \nL 336.778467 69.833504 \nL 336.800704 70.029912 \nL 336.845179 70.557111 \nL 336.91189 70.469245 \nL 337.045313 69.905865 \nL 337.089788 70.41239 \nL 337.156499 70.107441 \nL 337.200974 70.019575 \nL 337.223211 69.724963 \nL 337.289922 70.097104 \nL 337.356634 70.469245 \nL 337.445583 70.2625 \nL 337.579006 69.823167 \nL 337.667955 69.771481 \nL 337.734666 70.252163 \nL 337.779141 69.84901 \nL 337.868089 69.993732 \nL 337.890326 69.936877 \nL 337.912564 70.060924 \nL 338.068224 70.464076 \nL 338.090461 70.422727 \nL 338.157173 70.59846 \nL 338.290596 69.776649 \nL 338.379545 70.159127 \nL 338.401782 69.973057 \nL 338.424019 69.843842 \nL 338.468493 70.081598 \nL 338.512968 70.241825 \nL 338.535205 70.221151 \nL 338.557442 69.96272 \nL 338.624154 70.272837 \nL 338.646391 70.407221 \nL 338.713102 70.153959 \nL 338.757577 69.807661 \nL 338.824288 69.838673 \nL 338.846525 70.055755 \nL 338.891 69.69912 \nL 338.913237 69.559567 \nL 338.957711 69.781818 \nL 339.002186 69.704289 \nL 339.20232 70.226319 \nL 339.246795 70.278006 \nL 339.313506 70.138453 \nL 339.380218 70.381378 \nL 339.402455 70.283174 \nL 339.446929 69.983394 \nL 339.513641 70.278006 \nL 339.580353 70.081598 \nL 339.60259 70.205645 \nL 339.624827 70.340029 \nL 339.669301 70.024743 \nL 339.691538 70.117778 \nL 339.824962 70.474413 \nL 339.736013 70.040249 \nL 339.847199 70.190139 \nL 339.980622 69.84901 \nL 340.025096 69.952383 \nL 340.069571 70.081598 \nL 340.091808 69.947214 \nL 340.114045 69.797324 \nL 340.180757 70.060924 \nL 340.31418 70.531268 \nL 340.447603 69.828336 \nL 340.603263 70.526099 \nL 340.692212 70.381378 \nL 340.736686 70.479582 \nL 340.758923 70.515762 \nL 340.781161 70.340029 \nL 340.870109 70.122947 \nL 340.892346 70.226319 \nL 340.914584 70.56228 \nL 340.959058 69.967888 \nL 340.981295 70.024743 \nL 341.003532 70.174633 \nL 341.048007 69.828336 \nL 341.070244 69.693952 \nL 341.114718 70.086767 \nL 341.225904 69.771481 \nL 341.248141 70.009237 \nL 341.359327 70.195308 \nL 341.292616 69.880022 \nL 341.381565 70.138453 \nL 341.448276 69.461364 \nL 341.514988 69.559567 \nL 341.559462 69.69912 \nL 341.581699 69.554399 \nL 341.603936 69.383834 \nL 341.670648 69.683614 \nL 341.759597 70.319355 \nL 341.804071 70.195308 \nL 341.870783 70.360704 \nL 341.937494 70.44857 \nL 341.981969 70.33486 \nL 342.026443 70.355535 \nL 342.115392 69.978226 \nL 342.137629 70.040249 \nL 342.159866 69.900696 \nL 342.20434 69.921371 \nL 342.271052 69.668108 \nL 342.337764 69.874853 \nL 342.471187 70.371041 \nL 342.493424 70.345198 \nL 342.515661 70.241825 \nL 342.537898 70.396884 \nL 342.582373 70.63464 \nL 342.626847 70.293511 \nL 342.649084 70.241825 \nL 342.782507 69.69912 \nL 342.826982 69.967888 \nL 342.871456 69.936877 \nL 342.91593 70.371041 \nL 342.960405 69.926539 \nL 342.982642 70.133284 \nL 343.093828 70.257331 \nL 343.116065 70.215982 \nL 343.160539 69.988563 \nL 343.205014 70.309017 \nL 343.227251 70.174633 \nL 343.271725 70.376209 \nL 343.360674 70.283174 \nL 343.494097 69.96272 \nL 343.538572 70.18497 \nL 343.583046 69.895528 \nL 343.62752 69.874853 \nL 343.649757 69.776649 \nL 343.694232 69.931708 \nL 343.716469 70.210814 \nL 343.783181 70.040249 \nL 343.849892 70.18497 \nL 343.894366 69.854179 \nL 344.005552 70.226319 \nL 344.050027 70.11261 \nL 344.116738 70.133284 \nL 344.138976 70.200476 \nL 344.205687 70.153959 \nL 344.227924 69.926539 \nL 344.294636 70.319355 \nL 344.316873 70.138453 \nL 344.450296 69.642265 \nL 344.561482 70.024743 \nL 344.605956 69.967888 \nL 344.628194 69.967888 \nL 344.672668 70.355535 \nL 344.783854 70.33486 \nL 344.828328 69.926539 \nL 344.89504 70.122947 \nL 344.961751 70.453739 \nL 344.983989 70.386547 \nL 345.006226 70.060924 \nL 345.095175 70.272837 \nL 345.20636 70.03508 \nL 345.228598 70.14879 \nL 345.295309 70.479582 \nL 345.339784 70.164296 \nL 345.362021 70.164296 \nL 345.473207 69.745638 \nL 345.495444 69.750806 \nL 345.673341 70.474413 \nL 345.695579 70.557111 \nL 345.717816 70.495088 \nL 345.873476 70.014406 \nL 346.006899 70.283174 \nL 345.940188 69.973057 \nL 346.029136 70.18497 \nL 346.073611 69.761144 \nL 346.140322 69.942045 \nL 346.229271 70.060924 \nL 346.207034 69.823167 \nL 346.251508 69.967888 \nL 346.273745 69.885191 \nL 346.31822 70.076429 \nL 346.340457 70.221151 \nL 346.384931 69.926539 \nL 346.47388 69.719795 \nL 346.496117 69.973057 \nL 346.518354 70.11261 \nL 346.585066 70.086767 \nL 346.62954 69.771481 \nL 346.696252 70.019575 \nL 346.807438 69.745638 \nL 346.829675 70.18497 \nL 346.918624 70.045418 \nL 347.02981 70.453739 \nL 347.052047 70.226319 \nL 347.252181 69.714626 \nL 347.34113 69.817998 \nL 347.474553 70.644978 \nL 347.519028 70.29868 \nL 347.585739 70.081598 \nL 347.607976 70.309017 \nL 347.652451 70.143621 \nL 347.7414 70.48475 \nL 347.785874 70.438233 \nL 347.941534 69.595748 \nL 348.097195 70.340029 \nL 348.230618 70.169465 \nL 348.275092 70.536437 \nL 348.319566 70.417558 \nL 348.408515 69.724963 \nL 348.452989 69.828336 \nL 348.586413 69.631928 \nL 348.675361 69.404509 \nL 348.630887 69.678446 \nL 348.697599 69.461364 \nL 348.831022 69.740469 \nL 348.853259 69.709457 \nL 348.875496 69.859347 \nL 348.964445 70.365872 \nL 349.031156 70.272837 \nL 349.120105 69.838673 \nL 349.186817 70.045418 \nL 349.275765 70.169465 \nL 349.298003 70.14879 \nL 349.453663 69.621591 \nL 349.587086 69.96272 \nL 349.609323 69.823167 \nL 349.676035 70.076429 \nL 349.809458 70.644978 \nL 349.831695 70.453739 \nL 349.898407 70.505425 \nL 349.942881 70.128116 \nL 350.054067 70.551942 \nL 350.076304 70.391715 \nL 350.143016 70.531268 \nL 350.165253 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      "text/plain": "<Figure size 1440x480 with 3 Axes>",
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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "# Generate the MFCCs and final output\n",
    "with tf1.Session() as sess:\n",
    "    saver.restore(sess, os.path.join(model_dir, model_checkpoint))\n",
    "    output, mfccs = sess.run([softmax, signal_mfccs], feed_dict={signal_input: signal.reshape(-1, 1)})\n",
    "    predicted_class = labels[np.argmax(output)]\n",
    "\n",
    "# Make sure to set a working output device\n",
    "sd.play(signal, device=20, samplerate=sample_rate)\n",
    "\n",
    "plt.figure(figsize=(12, 4), dpi=120)\n",
    "\n",
    "# Plot the last second of signal recorded\n",
    "plt.subplot(221)\n",
    "plt.title('Last 1s: {}'.format(predicted_class))\n",
    "plt.plot(signal, color='black')\n",
    "plt.xticks([])\n",
    "plt.ylabel('Signal')\n",
    "plt.yticks([])\n",
    "\n",
    "# Plot the MFCCs for the last second of signal\n",
    "plt.subplot(223)\n",
    "plt.imshow(mfccs[0].T, cmap=plt.cm.Greys, origin='bottomleft', aspect='auto')\n",
    "plt.xticks([0, 200, 400, 600, 800], [0, 0.2, 0.4, 0.6, 0.8])\n",
    "plt.xlabel('Time (s)')\n",
    "plt.yticks([])\n",
    "plt.ylabel('MFCC')\n",
    "\n",
    "# Plot all the output node traces for every iteration of the model\n",
    "plt.subplot(122)\n",
    "plt.title('All Outputs ({:.2f}s Mean)'.format(times.mean()))\n",
    "plt.plot(all_outputs)\n",
    "plt.legend(labels)\n",
    "plt.xlabel('Iteration')\n",
    "plt.ylabel('Softmax')\n",
    "\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6-final"
  },
  "orig_nbformat": 2,
  "kernelspec": {
   "name": "python37664bittfgpuconda439218ee16fe4cde98a11ee5e3bd1ccf",
   "display_name": "Python 3.7.6 64-bit ('tfgpu': conda)"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}