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@danferns
Last active February 21, 2025 07:12
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Implementing Metrogram Transform in librosa (not yet complete)
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import librosa\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"\n",
"track_path = \"./meter.wav\"\n",
"\n",
"y, sr = librosa.load(track_path)"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[Text(0.5, 1.0, 'Fourier Tempogram')]"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1000x1200 with 3 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"hop_length = 512\n",
"win_length = 384 * 4\n",
"oenv = librosa.onset.onset_strength(y=y, sr=sr, hop_length=hop_length)\n",
"\n",
"# fourier tempogram\n",
"fourier_tempogram = librosa.feature.fourier_tempogram(\n",
" onset_envelope=oenv, sr=sr, hop_length=hop_length, win_length=win_length,\n",
")\n",
"\n",
"# autocorrelation tempogram\n",
"ac_tempogram = librosa.feature.tempogram(\n",
" onset_envelope=oenv, sr=sr, hop_length=hop_length, win_length=win_length\n",
")\n",
"\n",
"\n",
"# --------- plotting ---------\n",
"\n",
"\n",
"sfig, ax = plt.subplots(nrows=3, figsize=(10, 12))\n",
"plt.subplots_adjust(top=1)\n",
"\n",
"\n",
"# the onset envelope\n",
"\n",
"times = librosa.times_like(oenv, sr=sr, hop_length=hop_length)\n",
"ax[0].plot(times, oenv, label=\"Onset strength\")\n",
"ax[0].label_outer()\n",
"ax[0].legend(frameon=True)\n",
"\n",
"# autocorrelation tempogram\n",
"\n",
"librosa.display.specshow(\n",
" ac_tempogram,\n",
" sr=sr,\n",
" hop_length=hop_length,\n",
" x_axis=\"time\",\n",
" y_axis=\"tempo\",\n",
" cmap=\"magma\",\n",
" ax=ax[1],\n",
")\n",
"ax[1].set(title=\"Autocorrelation Tempogram\")\n",
"\n",
"# auto-correlation tempogram, interpolated to fourier tempos\n",
"\n",
"librosa.display.specshow(\n",
" np.abs(fourier_tempogram),\n",
" sr=sr,\n",
" hop_length=hop_length,\n",
" x_axis=\"time\",\n",
" y_axis=\"fourier_tempo\",\n",
" cmap=\"magma\",\n",
" ax=ax[2],\n",
")\n",
"ax[2].set(title=\"Fourier Tempogram\")\n"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"c:\\Users\\Daniel\\miniconda3\\envs\\audio\\Lib\\site-packages\\scipy\\interpolate\\_interpolate.py:482: RuntimeWarning: invalid value encountered in multiply\n",
" y_new = slope*(x_new - x_lo)[:, None] + y_lo\n"
]
},
{
"data": {
"image/png": 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"text/plain": [
"<Figure size 1000x400 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1000x400 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"def plot_tempograms(y_axis):\n",
" sfig, ax = plt.subplots(nrows=1, figsize=(10, 4))\n",
" plt.subplots_adjust(top=1)\n",
"\n",
" librosa.display.specshow(\n",
" np.abs(fun_tempogram),\n",
" sr=sr,\n",
" hop_length=hop_length,\n",
" x_axis=\"time\",\n",
" y_axis=y_axis,\n",
" cmap=\"magma\",\n",
" ax=ax,\n",
" )\n",
" ax.set(title=\"Fundamental Tempogram\")\n",
"\n",
"\n",
"import scipy\n",
"\n",
"def fundamental_tempogram(\n",
" act_tempogram, act_freqs, fourier_tempogram, fourier_freqs, result_freqs=None\n",
"):\n",
" if result_freqs is None:\n",
" result_freqs = act_freqs\n",
"\n",
" # interpolate the Fourier / AC tempograms, and sample them at the result frequencies\n",
"\n",
" act_interp = scipy.interpolate.interp1d(\n",
" act_freqs,\n",
" act_tempogram,\n",
" axis=-2,\n",
" bounds_error=False,\n",
" copy=False,\n",
" kind=\"linear\",\n",
" fill_value=0,\n",
" )\n",
"\n",
" ftt_interp = scipy.interpolate.interp1d(\n",
" fourier_freqs,\n",
" fourier_tempogram,\n",
" axis=-2,\n",
" bounds_error=False,\n",
" copy=False,\n",
" kind=\"linear\",\n",
" fill_value=0,\n",
" )\n",
"\n",
" ftt_on_result_freqs = ftt_interp(result_freqs)\n",
" act_on_result_freqs = act_interp(result_freqs)\n",
"\n",
" return np.sqrt(ftt_on_result_freqs[:, :-1] * np.maximum(act_on_result_freqs, 0))\n",
"\n",
"\n",
"act_freqs = librosa.tempo_frequencies(\n",
" ac_tempogram.shape[0], hop_length=hop_length, sr=sr\n",
")\n",
"ftt_freqs = librosa.fourier_tempo_frequencies(\n",
" win_length=win_length, hop_length=hop_length, sr=sr\n",
")\n",
"\n",
"funt_freqs = ftt_freqs\n",
"fun_tempogram = fundamental_tempogram(\n",
" ac_tempogram, act_freqs, fourier_tempogram, ftt_freqs, funt_freqs\n",
")\n",
"plot_tempograms(\"fourier_tempo\")\n",
"\n",
"funt_freqs = act_freqs\n",
"fun_tempogram = fundamental_tempogram(\n",
" ac_tempogram, act_freqs, fourier_tempogram, ftt_freqs, funt_freqs\n",
")\n",
"plot_tempograms(\"tempo\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1000x400 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from scipy.ndimage import gaussian_filter1d\n",
"\n",
"def plot_metrogram():\n",
" sfig, ax = plt.subplots(nrows=1, figsize=(10, 4))\n",
" plt.subplots_adjust(top=1)\n",
"\n",
" librosa.display.specshow(\n",
" np.abs(metrogram),\n",
" sr=sr,\n",
" hop_length=hop_length,\n",
" x_axis=\"time\",\n",
" cmap=\"magma\",\n",
" ax=ax,\n",
" )\n",
" ax.set(title=\"Metrogram\")\n",
"\n",
"def metrogram_transform(T, tempogram_freqs, k, aggregate=np.sum):\n",
" # Assume T is the tempogram we begin with, and k are the harmonics/ratios we're interested in\n",
" T_interp = librosa.interp_harmonics(\n",
" T, freqs=tempogram_freqs, harmonics=k\n",
" ) # and other parameters as needed\n",
"\n",
" # T[np.newaxis, ...] is a view of T with compatible dimensions to T_interp\n",
" # Now we can multiply them and aggregate out the tempo dimension\n",
" # Default to aggregate=np.sum, but user could supply others as needed\n",
" M = aggregate(T_interp * T[np.newaxis, ...], axis=-2)\n",
" # M will now be of shape (T.shape[:-2], len(k), T.shape[-1])\n",
" return M\n",
"\n",
"\n",
"# the tempo harmonics (meters) we're interested in\n",
"k = [1 / 3, 1 / 4, 1 / 5, 1 / 7] # 3/4, 4/4, 5/4, 7/4\n",
"\n",
"metrogram = metrogram_transform(fun_tempogram[1:,], funt_freqs[1:,], k)\n",
"\n",
"\n",
"plot_metrogram()"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1000x400 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"\n",
"def smooth_rows(metrogram, sigma):\n",
" \"\"\"\n",
" Apply a Gaussian filter to each row for better smoothing.\n",
" \n",
" Parameters:\n",
" - metrogram: 2D NumPy array where each row represents a time series.\n",
" - sigma: Standard deviation for the Gaussian kernel. Higher values give more smoothing.\n",
"\n",
" Returns:\n",
" - Smoothed 2D NumPy array.\n",
" \"\"\"\n",
" smoothed_metrogram = np.array([\n",
" gaussian_filter1d(row, sigma=sigma, mode='constant', cval=0) for row in metrogram\n",
" ])\n",
" return smoothed_metrogram\n",
"\n",
"\n",
"metrogram = smooth_rows(metrogram, 450)\n",
"plot_metrogram()\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Timestamp: 0, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 1, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 2, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 3, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 4, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 5, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 6, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 7, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 8, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 9, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 10, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 11, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 12, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 13, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 14, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 15, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 16, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 17, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 18, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 19, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 20, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 21, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 22, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 23, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 24, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 25, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 26, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 27, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 28, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 29, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 30, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 31, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 32, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 33, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 34, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 35, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 36, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 37, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 38, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 39, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 40, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 41, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 42, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 43, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 44, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 45, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 46, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 47, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 48, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 49, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 50, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 51, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 52, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 53, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 54, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 55, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 56, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 57, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 58, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 59, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 60, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 61, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 62, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 63, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 64, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 65, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 66, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 67, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 68, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 69, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 70, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 71, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 72, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 73, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 74, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 75, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 76, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 77, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 78, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 79, Meter Index: 1, Confidence: 6.0%\n",
"Timestamp: 80, Meter Index: 1, Confidence: 6.0%\n",
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"Timestamp: 999, Meter Index: 1, Confidence: 7.0%\n",
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"Timestamp: 1024, Meter Index: 1, Confidence: 7.0%\n",
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"Timestamp: 1063, Meter Index: 1, Confidence: 7.0%\n",
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"Timestamp: 1068, Meter Index: 1, Confidence: 7.0%\n",
"Timestamp: 1069, Meter Index: 1, Confidence: 7.0%\n",
"Timestamp: 1070, Meter Index: 1, Confidence: 7.0%\n",
"Timestamp: 1071, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 1072, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 1073, Meter Index: 0, Confidence: 7.0%\n",
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"Timestamp: 1080, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 1081, Meter Index: 0, Confidence: 7.0%\n",
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"Timestamp: 1099, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 1100, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 1101, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 1102, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 1103, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 1104, Meter Index: 0, Confidence: 7.0%\n",
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"Timestamp: 1106, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 1107, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 1108, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 1109, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 1110, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 1111, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 1112, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 1113, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 1114, Meter Index: 0, Confidence: 7.0%\n",
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"Timestamp: 1118, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 1119, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 1120, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 1121, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 1122, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 1123, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 1124, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 1125, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 1126, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 1127, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 1128, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 1129, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 1130, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 1131, Meter Index: 0, Confidence: 7.0%\n",
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"Timestamp: 1149, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 1150, Meter Index: 0, Confidence: 7.0%\n",
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"Timestamp: 1160, Meter Index: 0, Confidence: 7.0%\n",
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"Timestamp: 1519, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1520, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1521, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1522, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1523, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1524, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1525, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1526, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1527, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1528, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1529, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1530, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1531, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1532, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1533, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1534, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1535, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1536, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1537, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1538, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1539, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1540, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1541, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1542, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1543, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1544, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1545, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1546, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1547, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1548, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1549, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1550, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1551, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1552, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1553, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1554, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1555, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1556, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1557, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1558, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1559, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1560, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1561, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1562, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1563, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1564, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1565, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1566, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1567, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1568, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1569, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1570, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1571, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1572, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1573, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1574, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1575, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1576, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1577, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1578, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1579, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1580, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1581, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1582, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1583, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1584, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1585, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1586, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1587, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1588, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1589, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1590, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1591, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1592, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1593, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1594, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1595, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1596, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1597, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1598, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1599, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1600, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1601, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1602, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1603, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1604, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1605, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1606, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1607, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1608, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1609, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1610, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1611, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1612, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1613, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1614, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1615, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1616, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1617, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1618, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1619, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1620, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1621, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1622, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1623, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1624, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1625, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1626, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1627, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1628, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1629, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1630, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1631, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1632, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1633, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1634, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1635, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1636, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1637, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1638, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1639, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1640, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1641, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1642, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1643, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1644, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1645, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1646, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1647, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1648, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1649, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1650, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1651, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1652, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1653, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1654, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1655, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1656, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1657, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1658, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1659, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1660, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1661, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1662, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1663, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1664, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1665, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1666, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1667, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1668, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1669, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1670, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1671, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1672, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1673, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1674, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1675, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1676, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1677, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1678, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1679, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1680, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1681, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1682, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1683, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1684, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1685, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1686, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1687, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1688, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1689, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1690, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1691, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1692, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1693, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1694, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1695, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1696, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1697, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1698, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1699, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1700, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1701, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1702, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1703, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1704, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1705, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1706, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1707, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1708, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1709, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1710, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1711, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1712, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1713, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1714, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1715, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1716, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1717, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1718, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1719, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1720, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1721, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1722, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1723, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1724, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1725, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1726, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1727, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1728, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1729, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1730, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1731, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1732, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1733, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1734, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1735, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1736, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1737, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1738, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1739, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1740, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1741, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1742, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1743, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1744, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1745, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1746, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1747, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1748, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1749, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1750, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1751, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1752, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1753, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1754, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1755, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1756, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1757, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1758, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1759, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1760, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1761, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1762, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1763, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1764, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1765, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1766, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1767, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1768, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1769, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1770, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1771, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 1772, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1773, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1774, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1775, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1776, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1777, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1778, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1779, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1780, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1781, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1782, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1783, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1784, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1785, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1786, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1787, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1788, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1789, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1790, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1791, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1792, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1793, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1794, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1795, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1796, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1797, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1798, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1799, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1800, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1801, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1802, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1803, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1804, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1805, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1806, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1807, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1808, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1809, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1810, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1811, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1812, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1813, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1814, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1815, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1816, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1817, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1818, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1819, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1820, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1821, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1822, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1823, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1824, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1825, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1826, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1827, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1828, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1829, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1830, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1831, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1832, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1833, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1834, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1835, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1836, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1837, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1838, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1839, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1840, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1841, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1842, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1843, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1844, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1845, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1846, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1847, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1848, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1849, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1850, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1851, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1852, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1853, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1854, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1855, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1856, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1857, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1858, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1859, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1860, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1861, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1862, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1863, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1864, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1865, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1866, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1867, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1868, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1869, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1870, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1871, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1872, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1873, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1874, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1875, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1876, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1877, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1878, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1879, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1880, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1881, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1882, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1883, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1884, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1885, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1886, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1887, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1888, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1889, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1890, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1891, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1892, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1893, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1894, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1895, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1896, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1897, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1898, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1899, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1900, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1901, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1902, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1903, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1904, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1905, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1906, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1907, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1908, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1909, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1910, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1911, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1912, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1913, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1914, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1915, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1916, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1917, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1918, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1919, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1920, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1921, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1922, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1923, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1924, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1925, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1926, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1927, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1928, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1929, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1930, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1931, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1932, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1933, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1934, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1935, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1936, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1937, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1938, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1939, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1940, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1941, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1942, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1943, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1944, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1945, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1946, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1947, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1948, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1949, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1950, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1951, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1952, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1953, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1954, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1955, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1956, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1957, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1958, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1959, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1960, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1961, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1962, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1963, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1964, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1965, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1966, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1967, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1968, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1969, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1970, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1971, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1972, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1973, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1974, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1975, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1976, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1977, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1978, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1979, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1980, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1981, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1982, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1983, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1984, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1985, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1986, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1987, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1988, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1989, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1990, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1991, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1992, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1993, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1994, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1995, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1996, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1997, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1998, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 1999, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2000, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2001, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2002, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2003, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2004, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2005, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2006, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2007, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2008, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2009, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2010, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2011, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2012, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2013, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2014, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2015, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2016, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2017, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2018, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2019, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2020, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2021, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2022, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2023, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2024, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2025, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2026, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2027, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2028, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2029, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2030, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2031, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2032, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2033, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2034, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2035, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2036, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2037, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2038, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2039, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2040, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2041, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2042, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2043, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2044, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2045, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2046, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2047, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2048, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2049, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2050, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2051, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2052, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2053, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2054, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2055, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2056, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2057, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2058, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2059, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2060, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2061, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2062, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2063, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2064, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2065, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2066, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2067, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2068, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2069, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2070, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2071, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2072, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2073, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2074, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2075, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2076, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2077, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2078, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2079, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2080, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2081, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2082, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2083, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2084, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2085, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2086, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2087, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2088, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2089, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2090, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2091, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2092, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2093, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2094, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2095, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2096, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2097, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2098, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2099, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2100, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2101, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2102, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2103, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2104, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2105, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2106, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2107, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2108, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2109, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2110, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2111, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2112, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 2113, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2114, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2115, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2116, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2117, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2118, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2119, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2120, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2121, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2122, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2123, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2124, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2125, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2126, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2127, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2128, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2129, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2130, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2131, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2132, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2133, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2134, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2135, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2136, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2137, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2138, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2139, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2140, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2141, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2142, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2143, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2144, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2145, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2146, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2147, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2148, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2149, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2150, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2151, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2152, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2153, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2154, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2155, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2156, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2157, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2158, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2159, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2160, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2161, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2162, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2163, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2164, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2165, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2166, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2167, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2168, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2169, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2170, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2171, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2172, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2173, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2174, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2175, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2176, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2177, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2178, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2179, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2180, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2181, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2182, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2183, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2184, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2185, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2186, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2187, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2188, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2189, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2190, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2191, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2192, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2193, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2194, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2195, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2196, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2197, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2198, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2199, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2200, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2201, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2202, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2203, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2204, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2205, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2206, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2207, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2208, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2209, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2210, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2211, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2212, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2213, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2214, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2215, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2216, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2217, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2218, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2219, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2220, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2221, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2222, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2223, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2224, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2225, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2226, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2227, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2228, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2229, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2230, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2231, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2232, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2233, Meter Index: 0, Confidence: 10.0%\n",
"Timestamp: 2234, Meter Index: 0, Confidence: 10.0%\n",
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"Timestamp: 2990, Meter Index: 0, Confidence: 9.0%\n",
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"Timestamp: 2995, Meter Index: 0, Confidence: 9.0%\n",
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"Timestamp: 2999, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 3000, Meter Index: 0, Confidence: 9.0%\n",
"Timestamp: 3001, Meter Index: 0, Confidence: 9.0%\n",
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"Timestamp: 3011, Meter Index: 0, Confidence: 8.0%\n",
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"Timestamp: 3028, Meter Index: 0, Confidence: 8.0%\n",
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"Timestamp: 3031, Meter Index: 0, Confidence: 8.0%\n",
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"Timestamp: 3051, Meter Index: 0, Confidence: 8.0%\n",
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"Timestamp: 3069, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 3070, Meter Index: 0, Confidence: 8.0%\n",
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"Timestamp: 3098, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 3099, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 3100, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 3101, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 3102, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 3103, Meter Index: 0, Confidence: 8.0%\n",
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"Timestamp: 3105, Meter Index: 0, Confidence: 8.0%\n",
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"Timestamp: 3107, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 3108, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 3109, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 3110, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 3111, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 3112, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 3113, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 3114, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 3115, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 3116, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 3117, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 3118, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 3119, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 3120, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 3121, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 3122, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 3123, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 3124, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 3125, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 3126, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 3127, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 3128, Meter Index: 0, Confidence: 8.0%\n",
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"Timestamp: 3130, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 3131, Meter Index: 0, Confidence: 8.0%\n",
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"Timestamp: 3138, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 3139, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 3140, Meter Index: 0, Confidence: 8.0%\n",
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"Timestamp: 3164, Meter Index: 0, Confidence: 8.0%\n",
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"Timestamp: 3168, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 3169, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 3170, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 3171, Meter Index: 0, Confidence: 8.0%\n",
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"Timestamp: 3174, Meter Index: 0, Confidence: 8.0%\n",
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"Timestamp: 3176, Meter Index: 0, Confidence: 8.0%\n",
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"Timestamp: 3189, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 3190, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 3191, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 3192, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 3193, Meter Index: 0, Confidence: 8.0%\n",
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"Timestamp: 3195, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 3196, Meter Index: 0, Confidence: 8.0%\n",
"Timestamp: 3197, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3198, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3199, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3200, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3201, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3202, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3203, Meter Index: 0, Confidence: 7.0%\n",
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"Timestamp: 3206, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3207, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3208, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3209, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3210, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3211, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3212, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3213, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3214, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3215, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3216, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3217, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3218, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3219, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3220, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3221, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3222, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3223, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3224, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3225, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3226, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3227, Meter Index: 0, Confidence: 7.0%\n",
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"Timestamp: 3229, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3230, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3231, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3232, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3233, Meter Index: 0, Confidence: 7.0%\n",
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"Timestamp: 3260, Meter Index: 0, Confidence: 7.0%\n",
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"Timestamp: 3269, Meter Index: 0, Confidence: 7.0%\n",
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"Timestamp: 3297, Meter Index: 0, Confidence: 7.0%\n",
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"Timestamp: 3299, Meter Index: 0, Confidence: 7.0%\n",
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"Timestamp: 3302, Meter Index: 0, Confidence: 7.0%\n",
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"Timestamp: 3307, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3308, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3309, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3310, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3311, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3312, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3313, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3314, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3315, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3316, Meter Index: 0, Confidence: 7.0%\n",
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"Timestamp: 3318, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3319, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3320, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3321, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3322, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3323, Meter Index: 0, Confidence: 7.0%\n",
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"Timestamp: 3325, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3326, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3327, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3328, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3329, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3330, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3331, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3332, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3333, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3334, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3335, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3336, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3337, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3338, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3339, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3340, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3341, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3342, Meter Index: 0, Confidence: 7.0%\n",
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"Timestamp: 3344, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3345, Meter Index: 0, Confidence: 7.0%\n",
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"Timestamp: 3350, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3351, Meter Index: 0, Confidence: 7.0%\n",
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"Timestamp: 3354, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3355, Meter Index: 0, Confidence: 7.0%\n",
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"Timestamp: 3357, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3358, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3359, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3360, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3361, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3362, Meter Index: 0, Confidence: 7.0%\n",
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"Timestamp: 3364, Meter Index: 0, Confidence: 7.0%\n",
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"Timestamp: 3369, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3370, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3371, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3372, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3373, Meter Index: 0, Confidence: 7.0%\n",
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"Timestamp: 3375, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3376, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3377, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3378, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3379, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3380, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3381, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3382, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3383, Meter Index: 0, Confidence: 7.0%\n",
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"Timestamp: 3386, Meter Index: 0, Confidence: 7.0%\n",
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"Timestamp: 3388, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3389, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3390, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3391, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3392, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3393, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3394, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3395, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3396, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3397, Meter Index: 0, Confidence: 7.0%\n",
"Timestamp: 3398, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3399, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3400, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3401, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3402, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3403, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3404, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3405, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3406, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3407, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3408, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3409, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3410, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3411, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3412, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3413, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3414, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3415, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3416, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3417, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3418, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3419, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3420, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3421, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3422, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3423, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3424, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3425, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3426, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3427, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3428, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3429, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3430, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3431, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3432, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3433, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3434, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3435, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3436, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3437, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3438, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3439, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3440, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3441, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3442, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3443, Meter Index: 0, Confidence: 6.0%\n",
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"Timestamp: 3445, Meter Index: 0, Confidence: 6.0%\n",
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"Timestamp: 3447, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3448, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3449, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3450, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3451, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3452, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3453, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3454, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3455, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3456, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3457, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3458, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3459, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3460, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3461, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3462, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3463, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3464, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3465, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3466, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3467, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3468, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3469, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3470, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3471, Meter Index: 0, Confidence: 6.0%\n",
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"Timestamp: 3473, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3474, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3475, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3476, Meter Index: 0, Confidence: 6.0%\n",
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"Timestamp: 3478, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3479, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3480, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3481, Meter Index: 0, Confidence: 6.0%\n",
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"Timestamp: 3488, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3489, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3490, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3491, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3492, Meter Index: 0, Confidence: 6.0%\n",
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"Timestamp: 3496, Meter Index: 0, Confidence: 6.0%\n",
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"Timestamp: 3500, Meter Index: 0, Confidence: 6.0%\n",
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"Timestamp: 3502, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3503, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3504, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3505, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3506, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3507, Meter Index: 0, Confidence: 6.0%\n",
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"Timestamp: 3509, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3510, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3511, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3512, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3513, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3514, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3515, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3516, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3517, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3518, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3519, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3520, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3521, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3522, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3523, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3524, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3525, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3526, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3527, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3528, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3529, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3530, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3531, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3532, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3533, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3534, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3535, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3536, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3537, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3538, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3539, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3540, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3541, Meter Index: 0, Confidence: 6.0%\n",
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"Timestamp: 3548, Meter Index: 0, Confidence: 6.0%\n",
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"Timestamp: 3551, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3552, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3553, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3554, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3555, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3556, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3557, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3558, Meter Index: 0, Confidence: 6.0%\n",
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"Timestamp: 3560, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3561, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3562, Meter Index: 0, Confidence: 6.0%\n",
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"Timestamp: 3564, Meter Index: 0, Confidence: 6.0%\n",
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"Timestamp: 3568, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3569, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3570, Meter Index: 0, Confidence: 6.0%\n",
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"Timestamp: 3572, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3573, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3574, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3575, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3576, Meter Index: 0, Confidence: 6.0%\n",
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"Timestamp: 3579, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3580, Meter Index: 0, Confidence: 6.0%\n",
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"Timestamp: 3592, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3593, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3594, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3595, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3596, Meter Index: 0, Confidence: 6.0%\n",
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"Timestamp: 3598, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3599, Meter Index: 0, Confidence: 6.0%\n",
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"Timestamp: 3603, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3604, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3605, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3606, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3607, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3608, Meter Index: 0, Confidence: 6.0%\n",
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"Timestamp: 3610, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3611, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3612, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3613, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3614, Meter Index: 0, Confidence: 6.0%\n",
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"Timestamp: 3620, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3621, Meter Index: 0, Confidence: 6.0%\n",
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"Timestamp: 3623, Meter Index: 0, Confidence: 6.0%\n",
"Timestamp: 3624, Meter Index: 0, Confidence: 6.0%\n",
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"Timestamp: 3641, Meter Index: 0, Confidence: 6.0%\n",
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"Timestamp: 3683, Meter Index: 0, Confidence: 6.0%\n",
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"Timestamp: 3685, Meter Index: 0, Confidence: 5.0%\n",
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"Timestamp: 4095, Meter Index: 0, Confidence: 5.0%\n",
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"Timestamp: 4099, Meter Index: 0, Confidence: 5.0%\n",
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"Timestamp: 4210, Meter Index: 0, Confidence: 5.0%\n",
"Timestamp: 4211, Meter Index: 0, Confidence: 5.0%\n",
"Timestamp: 4212, Meter Index: 0, Confidence: 5.0%\n",
"Timestamp: 4213, Meter Index: 0, Confidence: 5.0%\n",
"Timestamp: 4214, Meter Index: 0, Confidence: 5.0%\n",
"Timestamp: 4215, Meter Index: 0, Confidence: 5.0%\n",
"Timestamp: 4216, Meter Index: 0, Confidence: 5.0%\n",
"Timestamp: 4217, Meter Index: 0, Confidence: 5.0%\n",
"Timestamp: 4218, Meter Index: 0, Confidence: 5.0%\n",
"Timestamp: 4219, Meter Index: 0, Confidence: 5.0%\n",
"Timestamp: 4220, Meter Index: 0, Confidence: 5.0%\n",
"Timestamp: 4221, Meter Index: 0, Confidence: 5.0%\n",
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"Timestamp: 4224, Meter Index: 0, Confidence: 5.0%\n",
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"Timestamp: 4226, Meter Index: 0, Confidence: 5.0%\n",
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"Timestamp: 4229, Meter Index: 0, Confidence: 5.0%\n",
"Timestamp: 4230, Meter Index: 0, Confidence: 5.0%\n",
"Timestamp: 4231, Meter Index: 0, Confidence: 5.0%\n",
"Timestamp: 4232, Meter Index: 0, Confidence: 5.0%\n",
"Timestamp: 4233, Meter Index: 0, Confidence: 5.0%\n",
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"Timestamp: 4260, Meter Index: 0, Confidence: 5.0%\n",
"Timestamp: 4261, Meter Index: 0, Confidence: 5.0%\n",
"Timestamp: 4262, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 4263, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 4264, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 4265, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 4266, Meter Index: 2, Confidence: 5.0%\n",
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"Timestamp: 4268, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 4269, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 4270, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 4271, Meter Index: 2, Confidence: 5.0%\n",
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"Timestamp: 4280, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 4281, Meter Index: 2, Confidence: 5.0%\n",
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"Timestamp: 4297, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 4298, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 4299, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 4300, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 4301, Meter Index: 2, Confidence: 5.0%\n",
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"Timestamp: 4307, Meter Index: 2, Confidence: 5.0%\n",
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"Timestamp: 4310, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 4311, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 4312, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 4313, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 4314, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 4315, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 4316, Meter Index: 2, Confidence: 5.0%\n",
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"Timestamp: 4318, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 4319, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 4320, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 4321, Meter Index: 2, Confidence: 5.0%\n",
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"Timestamp: 4325, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 4326, Meter Index: 2, Confidence: 5.0%\n",
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"Timestamp: 4330, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 4331, Meter Index: 2, Confidence: 5.0%\n",
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"Timestamp: 4333, Meter Index: 2, Confidence: 5.0%\n",
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"Timestamp: 4340, Meter Index: 2, Confidence: 5.0%\n",
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"Timestamp: 5299, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5300, Meter Index: 2, Confidence: 5.0%\n",
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"Timestamp: 5312, Meter Index: 2, Confidence: 5.0%\n",
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"Timestamp: 5360, Meter Index: 2, Confidence: 5.0%\n",
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"Timestamp: 5419, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5420, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5421, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5422, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5423, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5424, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5425, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5426, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5427, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5428, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5429, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5430, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5431, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5432, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5433, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5434, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5435, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5436, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5437, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5438, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5439, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5440, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5441, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5442, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5443, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5444, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5445, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5446, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5447, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5448, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5449, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5450, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5451, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5452, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5453, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5454, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5455, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5456, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5457, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5458, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5459, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5460, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5461, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5462, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5463, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5464, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5465, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5466, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5467, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5468, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5469, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5470, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5471, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5472, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5473, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5474, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5475, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5476, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5477, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5478, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5479, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5480, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5481, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5482, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5483, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5484, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5485, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5486, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5487, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5488, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5489, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5490, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5491, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5492, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5493, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5494, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5495, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5496, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5497, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5498, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5499, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5500, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5501, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5502, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5503, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5504, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5505, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5506, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5507, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5508, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5509, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5510, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5511, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5512, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5513, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5514, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5515, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5516, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5517, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5518, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5519, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5520, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5521, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5522, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5523, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5524, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5525, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5526, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5527, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5528, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5529, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5530, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5531, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5532, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5533, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5534, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5535, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5536, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5537, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5538, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5539, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5540, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5541, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5542, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5543, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5544, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5545, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5546, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5547, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5548, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5549, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5550, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5551, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5552, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5553, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5554, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5555, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5556, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5557, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5558, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5559, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5560, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5561, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5562, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5563, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5564, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5565, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5566, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5567, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5568, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5569, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5570, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5571, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5572, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5573, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5574, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5575, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5576, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5577, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5578, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5579, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5580, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5581, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5582, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5583, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5584, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5585, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5586, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5587, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5588, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5589, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5590, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5591, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5592, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5593, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5594, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5595, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5596, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5597, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5598, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5599, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5600, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5601, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5602, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5603, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5604, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5605, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5606, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5607, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5608, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5609, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5610, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5611, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5612, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5613, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5614, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5615, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5616, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5617, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5618, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5619, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5620, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5621, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5622, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5623, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5624, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5625, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5626, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5627, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5628, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5629, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5630, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5631, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5632, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5633, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5634, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5635, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5636, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5637, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5638, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5639, Meter Index: 2, Confidence: 5.0%\n",
"Timestamp: 5640, Meter Index: 2, Confidence: 5.0%\n"
]
}
],
"source": [
"# print the time signature with confidence\n",
"for i in range(len(metrogram[0])):\n",
" total = np.sum(np.abs(metrogram[:, i]))\n",
" p = np.abs(metrogram[:, i]) / total\n",
" H = -np.sum([p[j] * np.log2(p[j]) for j in range(len(metrogram)) if p[j] > 0])\n",
" H_norm = H / np.log2(len(metrogram))\n",
" C = 1 - H_norm\n",
" max_index = np.argmax(np.abs(metrogram[:, i]))\n",
" print(f\"Timestamp: {i}, Meter Index: {max_index}, Confidence: {np.round(C*100)}%\")\n",
"\n"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "audio",
"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": "3.12.5"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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