{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "9f94ac2b-bc8a-4757-affb-6e570a024804",
   "metadata": {
    "papermill": {
     "duration": 0.010945,
     "end_time": "2024-01-31T17:49:30.316989",
     "exception": false,
     "start_time": "2024-01-31T17:49:30.306044",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Context - Common"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "54e70524-472a-49e4-bca9-32e57a1c4313",
   "metadata": {
    "papermill": {
     "duration": 0.0152,
     "end_time": "2024-01-31T17:49:30.338208",
     "exception": false,
     "start_time": "2024-01-31T17:49:30.323008",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Import to be able to import python package from src\n",
    "import sys\n",
    "sys.path.insert(0, '../src')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "70a32352-80c9-40b7-8f68-1aeecfc52658",
   "metadata": {
    "papermill": {
     "duration": 0.81624,
     "end_time": "2024-01-31T17:49:31.158710",
     "exception": false,
     "start_time": "2024-01-31T17:49:30.342470",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from darts.datasets import EnergyDataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "24fa5881-61b9-4ca0-9987-a6945136a29d",
   "metadata": {
    "papermill": {
     "duration": 1.667916,
     "end_time": "2024-01-31T17:49:32.829305",
     "exception": false,
     "start_time": "2024-01-31T17:49:31.161389",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "The `LightGBM` module could not be imported. To enable LightGBM support in Darts, follow the detailed instructions in the installation guide: https://github.com/unit8co/darts/blob/master/INSTALL.md\n",
      "The `Prophet` module could not be imported. To enable Prophet support in Darts, follow the detailed instructions in the installation guide: https://github.com/unit8co/darts/blob/master/INSTALL.md\n"
     ]
    }
   ],
   "source": [
    "import ontime as on"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "43dac0e6-ae1e-4bbd-8537-2f2ed1262c76",
   "metadata": {
    "papermill": {
     "duration": 0.002677,
     "end_time": "2024-01-31T17:49:32.834704",
     "exception": false,
     "start_time": "2024-01-31T17:49:32.832027",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "520ed047-e840-4bc3-8b0e-32c1a9e0fda3",
   "metadata": {
    "papermill": {
     "duration": 0.002852,
     "end_time": "2024-01-31T17:49:32.840031",
     "exception": false,
     "start_time": "2024-01-31T17:49:32.837179",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Load data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e75060cc-c514-4210-b359-585f4f51e873",
   "metadata": {
    "papermill": {
     "duration": 0.067229,
     "end_time": "2024-01-31T17:49:32.909753",
     "exception": false,
     "start_time": "2024-01-31T17:49:32.842524",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "ts = EnergyDataset().load()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e766b6d8-985a-44ae-9d52-a74ee7511561",
   "metadata": {
    "papermill": {
     "duration": 0.002575,
     "end_time": "2024-01-31T17:49:32.914975",
     "exception": false,
     "start_time": "2024-01-31T17:49:32.912400",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Process the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "4d355f16-5c6d-477a-802c-9b1dbf3718f0",
   "metadata": {
    "papermill": {
     "duration": 0.017244,
     "end_time": "2024-01-31T17:49:32.934705",
     "exception": false,
     "start_time": "2024-01-31T17:49:32.917461",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "df = ts.pd_dataframe()\n",
    "df = df.interpolate()\n",
    "cols = ['generation biomass', 'generation solar', 'generation nuclear']\n",
    "df = df[cols]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "c1cca8db-e15f-4e40-936b-8ef18e7a63c3",
   "metadata": {
    "papermill": {
     "duration": 0.007233,
     "end_time": "2024-01-31T17:49:32.944582",
     "exception": false,
     "start_time": "2024-01-31T17:49:32.937349",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "ts = on.TimeSeries.from_dataframe(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "ebe23c8b-82ca-4ba4-aba7-969ee926e802",
   "metadata": {
    "papermill": {
     "duration": 0.008626,
     "end_time": "2024-01-31T17:49:32.955685",
     "exception": false,
     "start_time": "2024-01-31T17:49:32.947059",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "ts_uni = ts['generation solar'].slice(pd.Timestamp('2015'), pd.Timestamp('2016'))\n",
    "ts_multi = ts.slice(pd.Timestamp('2015'), pd.Timestamp('2016'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "7732e3a2-753a-4f3c-aa92-766e8fc70adc",
   "metadata": {
    "papermill": {
     "duration": 0.006671,
     "end_time": "2024-01-31T17:49:32.964882",
     "exception": false,
     "start_time": "2024-01-31T17:49:32.958211",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "train, test = ts_uni.split_after(pd.Timestamp('2015-09-01'))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5c019c12-aa28-411b-9048-f8561d1197dd",
   "metadata": {
    "papermill": {
     "duration": 0.002561,
     "end_time": "2024-01-31T17:49:32.969906",
     "exception": false,
     "start_time": "2024-01-31T17:49:32.967345",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c4291fa8-9369-4388-9150-bbe552a5f576",
   "metadata": {},
   "source": [
    "## Load Common Context"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "54d07f6a-c1c1-45dc-91f4-8c92f1f89ed8",
   "metadata": {
    "papermill": {
     "duration": 0.00526,
     "end_time": "2024-01-31T17:49:32.982822",
     "exception": false,
     "start_time": "2024-01-31T17:49:32.977562",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "from ontime.context import common"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0850a3ae-ce2a-4e8f-98d0-dfad92bc5c72",
   "metadata": {
    "papermill": {
     "duration": 0.002557,
     "end_time": "2024-01-31T17:49:32.987865",
     "exception": false,
     "start_time": "2024-01-31T17:49:32.985308",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Profiler"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "38a123fd-37cb-4206-b0dc-fb8ecd597b46",
   "metadata": {
    "papermill": {
     "duration": 0.005225,
     "end_time": "2024-01-31T17:49:32.995589",
     "exception": false,
     "start_time": "2024-01-31T17:49:32.990364",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "profiler = common.Profiler()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7706081d-0a79-410e-ae65-480de017c194",
   "metadata": {
    "papermill": {
     "duration": 0.002824,
     "end_time": "2024-01-31T17:49:33.000945",
     "exception": false,
     "start_time": "2024-01-31T17:49:32.998121",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### Daily Aggregation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "9e34e371-9d34-41e8-8145-116c6bc463d3",
   "metadata": {
    "papermill": {
     "duration": 0.676033,
     "end_time": "2024-01-31T17:49:33.679564",
     "exception": false,
     "start_time": "2024-01-31T17:49:33.003531",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "day_mean = profiler.profile(ts_uni, profiler.Period.DAILY, profiler.Aggregation.MEAN)\n",
    "day_median = profiler.profile(ts_uni, profiler.Period.DAILY, profiler.Aggregation.MEDIAN)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "fc72abf9-f1d9-4757-80c5-ecffa37d756f",
   "metadata": {
    "papermill": {
     "duration": 0.214484,
     "end_time": "2024-01-31T17:49:33.896842",
     "exception": false,
     "start_time": "2024-01-31T17:49:33.682358",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "day_mean.plot();\n",
    "day_median.plot();"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "628fc1ce-1631-4844-bd51-649fff52a5e8",
   "metadata": {
    "papermill": {
     "duration": 0.003129,
     "end_time": "2024-01-31T17:49:33.907021",
     "exception": false,
     "start_time": "2024-01-31T17:49:33.903892",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### Weekly Aggregation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "e26c11bc-e46d-45ab-aab6-4e80c4288ca0",
   "metadata": {
    "papermill": {
     "duration": 0.175229,
     "end_time": "2024-01-31T17:49:34.090137",
     "exception": false,
     "start_time": "2024-01-31T17:49:33.914908",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "week_mean = profiler.profile(ts_uni, profiler.Period.WEEKLY, profiler.Aggregation.MEAN)\n",
    "week_median = profiler.profile(ts_uni, profiler.Period.WEEKLY, profiler.Aggregation.MEDIAN)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "4409d4ee-aca9-4bae-b1d1-03283554bbbe",
   "metadata": {
    "papermill": {
     "duration": 0.136351,
     "end_time": "2024-01-31T17:49:34.229322",
     "exception": false,
     "start_time": "2024-01-31T17:49:34.092971",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "week_mean.plot();\n",
    "week_median.plot();"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "813f08f7-51aa-4413-92da-8455bc854aed",
   "metadata": {
    "papermill": {
     "duration": 0.003126,
     "end_time": "2024-01-31T17:49:34.235688",
     "exception": false,
     "start_time": "2024-01-31T17:49:34.232562",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Generic Predictor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "e5df7b11-4c2d-4b26-9b9c-f1bf521b6300",
   "metadata": {
    "papermill": {
     "duration": 0.006312,
     "end_time": "2024-01-31T17:49:34.244965",
     "exception": false,
     "start_time": "2024-01-31T17:49:34.238653",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "model = common.GenericPredictor()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "402c4d6e-dd2c-4920-9736-eee98fa3ab32",
   "metadata": {
    "papermill": {
     "duration": 1.184082,
     "end_time": "2024-01-31T17:49:35.431990",
     "exception": false,
     "start_time": "2024-01-31T17:49:34.247908",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<ontime.context.common.generic_predictor.GenericPredictor at 0x2c52d7f10>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.fit(train)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eac89dd3-f5ac-42f4-9db0-29e07328151b",
   "metadata": {
    "papermill": {
     "duration": 0.003153,
     "end_time": "2024-01-31T17:49:35.438439",
     "exception": false,
     "start_time": "2024-01-31T17:49:35.435286",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "What does the future looks like ?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "33c52d1f-6983-4edb-945b-9578d954f738",
   "metadata": {
    "papermill": {
     "duration": 0.017896,
     "end_time": "2024-01-31T17:49:35.459316",
     "exception": false,
     "start_time": "2024-01-31T17:49:35.441420",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "pred = model.predict(48)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
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     "status": "completed"
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\"zindex\": 0, \"tickCount\": {\"signal\": \"ceil(height/40)\"}, \"title\": \"value\", \"grid\": false, \"labelOverlap\": true}], \"height\": 300, \"style\": \"cell\", \"legends\": [{\"stroke\": \"color\", \"symbolType\": \"stroke\", \"title\": \"variable\", \"encode\": {\"symbols\": {\"update\": {\"opacity\": {\"value\": 1}}}}}], \"padding\": 5, \"background\": \"white\", \"width\": 500}, {\"mode\": \"vega\"});\n",
       "</script>"
      ],
      "text/plain": [
       "alt.Chart(...)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "on.plots.prediction(train[-96:], pred, test[:48])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1eacbd84-bb31-48b1-bd5b-6ab7db392204",
   "metadata": {
    "papermill": {
     "duration": 0.003452,
     "end_time": "2024-01-31T17:49:35.593697",
     "exception": false,
     "start_time": "2024-01-31T17:49:35.590245",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Generic Detector"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "9715fd4d-24d8-4d95-a77a-3c347916f2aa",
   "metadata": {
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     "exception": false,
     "start_time": "2024-01-31T17:49:35.596770",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "model = common.GenericDetector()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "56eae67d-ae1a-438c-bbd4-e1b52c93c2c2",
   "metadata": {
    "papermill": {
     "duration": 1.110565,
     "end_time": "2024-01-31T17:49:36.716703",
     "exception": false,
     "start_time": "2024-01-31T17:49:35.606138",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<ontime.context.common.generic_detector.GenericDetector at 0x2c53e4b50>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.fit(train)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cad58ac3-bc19-4281-8975-d31b13e5b7f5",
   "metadata": {
    "papermill": {
     "duration": 0.003284,
     "end_time": "2024-01-31T17:49:36.723390",
     "exception": false,
     "start_time": "2024-01-31T17:49:36.720106",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Does the current signal has problem ? "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "3fcf48b4-6d60-411d-88e5-191d575967a7",
   "metadata": {
    "papermill": {
     "duration": 0.011539,
     "end_time": "2024-01-31T17:49:36.738042",
     "exception": false,
     "start_time": "2024-01-31T17:49:36.726503",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "detected_test = model.detect(test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "317ef652-cfa1-4d85-b873-a1944c13fefc",
   "metadata": {
    "papermill": {
     "duration": 0.038277,
     "end_time": "2024-01-31T17:49:36.779533",
     "exception": false,
     "start_time": "2024-01-31T17:49:36.741256",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
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      ],
      "text/plain": [
       "alt.LayerChart(...)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "on.plots.anomalies(test[:72], detected_test[:72])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2eef8370-d1d7-47dc-ac68-91fa9d375646",
   "metadata": {
    "papermill": {
     "duration": 0.003346,
     "end_time": "2024-01-31T17:49:36.786349",
     "exception": false,
     "start_time": "2024-01-31T17:49:36.783003",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "What if we want to have an idea about the future problems ?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "0e31b255-cf60-4470-910e-31fe826b9782",
   "metadata": {
    "papermill": {
     "duration": 0.024201,
     "end_time": "2024-01-31T17:49:36.813726",
     "exception": false,
     "start_time": "2024-01-31T17:49:36.789525",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "predetected = model.predetect(72)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "fe406b99-9025-4553-8c3d-0237a670e513",
   "metadata": {
    "papermill": {
     "duration": 0.034856,
     "end_time": "2024-01-31T17:49:36.851882",
     "exception": false,
     "start_time": "2024-01-31T17:49:36.817026",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
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\"y\": {\"field\": \"signal\", \"scale\": \"y\"}, \"opacity\": {\"value\": 0.7}, \"ariaRoleDescription\": {\"value\": \"circle\"}, \"size\": {\"value\": 60}, \"description\": {\"signal\": \"\\\"time: \\\" + (timeFormat(datum[\\\"time\\\"], '%b %d, %Y')) + \\\"; signal: \\\" + (format(datum[\\\"signal\\\"], \\\"\\\"))\"}, \"shape\": {\"value\": \"circle\"}}}, \"style\": [\"circle\"]}], \"scales\": [{\"name\": \"x\", \"type\": \"time\", \"domain\": {\"fields\": [{\"data\": \"source_0\", \"field\": \"time\"}, {\"data\": \"data_0\", \"field\": \"time\"}]}, \"range\": [0, {\"signal\": \"width\"}]}, {\"name\": \"y\", \"type\": \"linear\", \"domain\": {\"fields\": [{\"data\": \"source_0\", \"field\": \"signal\"}, {\"data\": \"data_0\", \"field\": \"signal\"}]}, \"range\": [{\"signal\": \"height\"}, 0], \"nice\": true, \"zero\": true}], \"axes\": [{\"scale\": \"x\", \"domain\": false, \"maxExtent\": 0, \"orient\": \"bottom\", \"grid\": true, \"tickCount\": {\"signal\": \"ceil(width/40)\"}, \"minExtent\": 0, \"zindex\": 0, \"ticks\": false, \"aria\": false, \"gridScale\": \"y\", \"labels\": false}, {\"scale\": \"y\", \"tickCount\": {\"signal\": \"ceil(height/40)\"}, \"gridScale\": \"x\", \"grid\": true, \"labels\": false, \"aria\": false, \"orient\": \"left\", \"domain\": false, \"maxExtent\": 0, \"minExtent\": 0, \"ticks\": false, \"zindex\": 0}, {\"scale\": \"x\", \"labelOverlap\": true, \"zindex\": 0, \"title\": \"time\", \"grid\": false, \"orient\": \"bottom\", \"labelFlush\": true, \"tickCount\": {\"signal\": \"ceil(width/40)\"}}, {\"scale\": \"y\", \"orient\": \"left\", \"zindex\": 0, \"labelOverlap\": true, \"title\": \"signal\", \"tickCount\": {\"signal\": \"ceil(height/40)\"}, \"grid\": false}], \"height\": 300, \"style\": \"cell\", \"padding\": 5, \"background\": \"white\", \"width\": 500}, {\"mode\": \"vega\"});\n",
       "</script>"
      ],
      "text/plain": [
       "alt.LayerChart(...)"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "on.plots.anomalies(test[:72], predetected[:72])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c1da8025-85fe-4673-806a-a7aa67053707",
   "metadata": {
    "papermill": {
     "duration": 0.003397,
     "end_time": "2024-01-31T17:49:36.858675",
     "exception": false,
     "start_time": "2024-01-31T17:49:36.855278",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Data Quality Detector"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1615b1e6-38a5-48d7-9fb0-1dceffe6ac3b",
   "metadata": {},
   "source": [
    "Detect values above an absolute threshold"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "9ece9880-4d13-4489-8e67-a755d10caab5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "detector = common.DataQualityDetector(\n",
    "    threshold_type='threshold', \n",
    "    upper_threshold=3000\n",
    ")\n",
    "\n",
    "# Fitting on some data\n",
    "detector.fit(test)\n",
    "\n",
    "# Detecting on other\n",
    "detector.detect(test[:72]).plot();"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2dbe4993-a119-4a77-b3a7-3f27c93c07f3",
   "metadata": {},
   "source": [
    "Or between two thresholds "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "70588b2e-70fd-415b-b51a-8f6ba3bbb48e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "detector = common.DataQualityDetector(\n",
    "    threshold_type='threshold', \n",
    "    upper_threshold=3000,\n",
    "    lower_threshold=1000\n",
    ")\n",
    "\n",
    "# Fitting on some data\n",
    "detector.fit(test)\n",
    "\n",
    "# Detecting on other\n",
    "detector.detect(test[:72]).plot();"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "73438221-04c7-406d-ac8f-0aaf77aeb47e",
   "metadata": {},
   "source": [
    "Or within a statistical range"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "690c0441-c305-491a-91ac-83bd0908e38c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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axI+A5OXlobi42JXndLK8CgoKErd79erl2lg08HO+cnNzE7f79u3ryufqZHnt3r07ZUzMly7J24qzzjrL+Ofn5jLr1atX4vbpp5/uy+xJyJitApKbm4tIJJJyXyQSQSgUSrkvGo1i+vTpmDx5MiZNmoTa2lrMmDED5557LsLhcKvnzc7O7lLZ6EhGRobaCdyW5N+5kZWV5fp7s7O8kj+zaDTqq+XcWX7LF5B68mC3bt1cfX92lle3bt1SxuS35dwZmvNlMkcdcWOZnUrrtnRmzNar9uvXD3V1ddi7d2/ivsrKSvTv3z/lcUePHkVtbS0mTJiQOAdkyJAh+Nvf/ubOqE9hkk7s4ola/iQlY8yXblJy5ASz5w1bBSQUCiEcDqOiogINDQ3YuHEjtm/f3uqoRmFhIfr06YNXXnkFsVgMe/bswaZNm1BaWurq4E9FkiY1L5P0JymXTzJfuknJkRMsIN6wfdxl5syZ2LdvH4YPH4758+dj7ty5KCgowJo1a1JOGp03bx7efPNNXHPNNbj99ttx1VVXtbpShuxLntTp/vsK/HsJ/iTlb3gwX7pJyZETyeNl+TXHdioKCwuxcOHCVveXlZWhrKws8d8XXXQRXnjhha6NjlqRegSEGwj/kJIx5ks3KTlygtnzhn/PrPEpSZOak9SfpGSM+dJNSo6cYPa8wQKijKRJzUnqT1IyxnzpJiVHTjB73mABUUbSpOYk9ScpGWO+dJOSIyeYPW+wgCgjaVLzKgV/knL1AvOlm5QcOcEC4g0WEGUkTWpOUn+SUnKZL92k5MgJll9vsIAoI+nSNl4m6U9SMsZ86SYlR04we95gAVFG0l4F91D9Kf5ZBoNBBAKBtI0j+S+SMl/6SFpX2cV1mzdYQJSRNKk5Sf0p/lmmO1+BQCAxBuZLH0nrKru4bvMGC4gykiY1J6k/SSkgyWNgvvSRtK6yi+s2b7CAKCNpUvNELX+Kf5bpzlfyGJgvfZI/s+Sv0zRgAfEGC4gyvAqGTOMREHJDco7SeS6RE9y58gYLiDKSziznmeL+FP8s052v5DEwX/pIypFdXLd5gwVEGalfwXCS+gePgJAbJOXILq7bvMECogwLCJkmacPBAqKXpBzZxXWbN1hAlGEBIdMkbThYQPSSlCO7uG7zBguIMlILCE/U8g9eBUNukJQju1hAvMECoozUAsJJ6h+S9lx5BEQvSTmyi+s2b7CAKJO8J5jus8t5prj/WJaFaDQKIP35Sh4D86WPX66C4dE3c1hAlOEREDJJUr6Sx5BcjEgHzUdAuHPlDRYQZSRtIFhA/EdSvk4eAzOmi+YCEggEePTNAywgykjaQHDj4D+S8nXyGJgxXTQXEIDnH3mBBUQZSRsIXgXjP5J+1f/JY2DG9IjFYrAsC4CMHDnBAmIeC4gyUgsIJ6k/SMrXyWNgxvSQliMnWEDMYwFRhlfBkEmS/tbQyWNgxvSQliMn4uPmkTdzWECUkbRnwb1T/5GUr5PHwIzpIS1HTvAIiHksIMpImtjcOPiPpHydPAZmTA9pOXKCBcQ8FhBlJE1sbhz8R1K+Th4DM6aHtBw5wQJiHguIMpImNq9Q8B9eBUNukJYjJ1hAzGMBUUZSAeEJgv4jKV8nj4EZ00NajpxgATGPBUQZSVfBBAIBBINBAJykfiHt6gWWXJ2k5cgJXgVjHguIMtL2LLiX4C9S8wUwY5pIy5ET8XHHYjHEYrE0j8afWECUkTaxWUD8RWq+AGZME2k5coLZM48FRBlpE5sFxF+k5gtgxjSRliMnmD3zWECUkTaxWUD8RWq+AGZME2k5coLZM48FRBlpEzs+Bp6o5Q/SLp/kZbg6ScuREywg5rGAKCO1gHCC+oPUfAHMmCbScuQEs2ceC4gyyXsW8Utg0yl+qRonqD9Iu3ySl+HqJC1HTiSPm0ffzGABUSY+sTMzMxEIBNI8Gh4B8Rtpe67cC9VJWo6cYPbMYwFRJj4RpExqFhB/kbbh4EZAJ2k5coLZM48FRBkWEDJJ2oaDGwGdpOXICWbPPBYQZaQWEMuy+NsCfUDa1Qu8CkYnaTlyggXEPBYQZaQWEICT1A+k7bkyXzpJy5ETzJ55LCDKxPcspJxZzqsU/EXa1QvMl07ScuQEr4IxjwVEGR4BIZOk7bkyXzpJy5ETzJ55LCDKsICQSdI2HMyXTtJy5ASzZx4LiDIsIGSStA0H86WTtBw5weyZxwKijOQCwu9J9ZN29QLzpZO0HDnBAmIeC4gykgsIJ6l+0vZcmS+dpOXICWbPPBYQRWKxGCzLAiDnzHJepeAv0q5eYL50kpYjJ3gVjHksIIpI3KvgXoK/SMsY86WTtBw5weyZxwKiiMRJzUnqL9IyxnzpJC1HTjB75rGAKCJxUnOS+ou0jDFfOknLkRPMnnksIIpInNS8SsFfpF29wHzpJC1HTrCAmMcCooj0AsJJqp+0jDFfOknLkRPMnnksIIpIPLOcVyn4i7SMMV86ScuRE8yeeSwgikg8rMm9BH+RtufKfOkkLUdO8Os/81hAFJE4qbmB8BdpGWO+dJKWIyeYPfNsF5BDhw5hxowZGDJkCMaPH4/Nmze3+9hVq1bhpptuwtChQzFhwgTs2rWrS4M91Umc1Jyk/iItY8yXTtJy5ASzZ57tL+fmzZuHoqIirF27Fu+99x4eeOABrFixAgUFBSmP27RpE/7nf/4HTz75JEpKSrBr1y50797dtYGfiiROah6m9Jfkz1DCd/fMl04Svy62iwXEPFtrmLq6Oqxfvx4rV65ETk4OwuEwBgwYgA0bNmDs2LEpj128eDHuuece9O/fHwDQt2/fdp+3qakJTU1NqQPLzER2drad4aWIxWIp/+8HjY2NiduZmZmuvjenyyt5I9XY2Oir5d0RP+YLOLGizczMhGVZiV/931VOl1cgEEAgEIBlWWhubvbd8m6P9nwlr8+DwaAn78PtZRYMBhO3m5qa1H4W7TGZsYyMzn25YquA7Ny5E6FQCL17907cV1paiqqqqpTHRaNRbNu2DZWVlZgzZw4yMzNxww034Pvf/z4CgUCr512yZAkWL16cct/EiRMxadIkO8NrU01NTZefQ4rk91JXV4fq6mqjr9EZR44cSdzes2ePkTFJ5qd8AUAkEgFwfOUrIV/A8TLU3NyMSCTCfClx7NixxO3du3cjJyfHs9d2a5nt27cvcfvgwYO+zZ6JjJWUlHTqcbYKSH19PfLy8lLuy8vLS9kIAcc/rGg0infffRe///3v8fXXX2PatGk488wzMWbMmFbPW15ejsmTJ6cOzIUjIDU1Nejbt2+n25h0yUWvqKgIxcXFrj230+WVXEa7d+/u6pgk82O+ACR2ELKzs0XkCzh+KLy5uRmBQID5UiL56MGAAQM8+TrP7WV26NChxO3c3FzfZU9CxmylIjc3N7GHFBeJRBAKhVLu69atGwDgP/7jP3DaaafhtNNOw/jx4/HOO++0WUCys7O7VDY6kpGRoXICtyUajSZuZ2dnG3lfdpdX/LMGjo/PL8u6s/yUL+DEVzBZWVki8hUfS3xsflrWnaE1Xyefr9bWkW9T3Fpmyeu2lpYWlZ9DZ6QzY7ZetV+/fqirq8PevXsT91VWVibO84jr3r07zjjjDE9DdyqQfhIqT9TSL7mASJFcQEiH5Bxp3Q5w3WaerQISCoUQDodRUVGBhoYGbNy4Edu3b0c4HG712Ouvvx6/+c1vEIlEUFtbi1deeQVDhgxxbeCnIukFhFcp6Bf/DKXkCzgxFuZLD4k5sosFxDzbx11mzpyJffv2Yfjw4Zg/fz7mzp2LgoICrFmzJuWk0TvvvBM9e/bE6NGjUV5ejlGjRmH06NGuDv5UI72AcJLqxyMg5AaJObKL6zbzbJ8ZVFhYiIULF7a6v6ysDGVlZYn/zsrKwkMPPYSHHnqoayOkBIl/X4F/L8Ffki/DlSI+FuZLD4k5sovrNvP8eVaNT0n85T7cS/AXiXuuPAKij8Qc2cWvl81jAVGEX8GQaRI3HCwg+kjMkV1ct5nHAqIICwiZJnHDwQKij8Qc2cV1m3ksIIqwgJBJsVgs8WuZpeQLSC0gbv1qeDKLBYQ6gwVEEekFhN+T6ibxHCMgdSx++3scfuWHy3CTf5srC4gZLCCKSC8gnKS6ScwXwIxp5IcjIIFAgF//GcYCooi0P5UO8FI1P5F4mTfAjGnkh8twgRPj59FdM1hAFJG4h8q9U/+QmC+AGdMmGo0mztWRlCMneATELBYQRSRuILhx8A+J+QKYMW2k5sgJFhCzWEAUkTixuXHwD4n5ApgxbaTmyAkWELNYQBSROLF5FYx/aLgKhhmTT2qOnGABMYsFRBHpBYSTVDeJ+QKYMW2k5sgJFhCzWEAUkXiVAq9Q8A+J+QKYMW2k5sgJ/iFEs1hAFJF4aJN7p/4hdc+VGdNFao6ciI+fX/2ZwQKiiMSJzb1T/5CYL4AFRBupOXKCX8GYxQKiiMSJHQgEeJjSJyTmC2AB0UZqjpxgATGLBUQRqRObhyn9QeJXfACvgtFGao6ciI/fsixEo9E0j8Z/WEAUkV5AuJegm/R8AcyYBlJz5ASzZxYLiCJSzy7nVzD+ID1fADOmgdQcOcHsmcUCoojUQ5s8AuIPUvdcuReqi9QcOcGv/8xiAVFE6sRmAfEH6fkCmDENpObICWbPLBYQRaRObBYQf5CeL4AZ00Bqjpxg9sxiAVEkeQIEg8E0jiQVr4LxB+lf8QHMmAZSc+QEC4hZLCCKxCdAVlYWAoFAmkdzAo+A+IPUPVduBHSRmiMnmD2zWEAUiU8AaWeW8yoYf5B69QKvRNBFao6cYPbMYgFRJH5oU9peBY+A+IPUPVfuheoiNUdO8Os/s1hAFEn+CkYS/rZAf5C64WAB0UVqjpxg9sxiAVFEegEBOEk1k7rhYL50kZojJ5g9s1hAFNFQQHiYUi+pVy8wX7pIzZETLCBmsYAooqGAcJLqJXXPlfnSRWqOnGD2zGIBUUT6VTAAJ6lmUq9eYL50kZojJ5g9s1hAFOEREDJJ6p4r86WL1Bw5weyZxQKiiPTLcAFOUs2kbjiYL12k5sgJnn9kFguIIjwCQiZJ3XAwX7pIzZETzJ5ZLCBKRKNRWJYFQN6k5iT1B6kbDuZLF6k5coLZM4sFRAnJk5qHKf1B6uWTzJcuUnPkBAuIWSwgSkg+s5xnivuD1IwxX7pIzZETzJ5ZLCBKaDkCwkmql9SMMV+6SM2RE8yeWSwgSkg+rMlJ6g9SNxzMly5Sc+QEv/4ziwVECcmTmhsIf5CaMeZLF6k5coLZM4sFRAnJk5qT1B+kZoz50kVqjpxg9sxiAVFC8qTmYUp/kPo1H/Oli9QcOcECYhYLiBJaCggnqV5SM8Z86SI1R04we2axgCgh+dI2XqrmD1IzxnzpIjVHTjB7ZrGAKCH5sCb3EvxB6oaD+dLFr0dA+PWf+1hAlJA8qbmB8If4Z5eZmYlAIJDm0ZwQDAYT42G+5JO8rrKL6zazWECUkDypOUn9QeofOwROjIn5kk/yusourtvMYgFRQvKk5mFKf4h/dtLyBZwYE/Mln+Svi+1iATGLBUQJLQWEk1QvHgEhN8Q/o0AggGAwmObRdA3XbWaxgCgh9QRBgGeK+0XyOSDSxMfEfMknOUd2cd1mFguIEpIPa3IvwR94BITcIDlHdvHrZbNYQJTgVzBkmuQNBwuIHpJzZBfXbWaxgCjBAkKmSd5wsIDoITlHdnHdZhYLiBJaCggPU+rFq2DIDZJzZBcLiFksIEpoKSCcpHpJ3nPlERA9JOfILq7bzGIBUYJXwZBpkq9e4FUwekjOkV1ct5nFAqIEj4CQSbFYDLFYDIC8fAGpR0Asy0rzaKgjPAJCnWW7gBw6dAgzZszAkCFDMH78eGzevLnDx+/evRtXXXUVHnnkEceDJF6GS2ZJLrhA6pii0WgaR0L/jJ8KSPIvUuP5R+6zXUDmzZuHoqIirF27FjNmzMADDzyAI0eOtPv4p556Cueff36XBkmyNxAsIPpJzhfAjGnipwISCAR4/pFBtgpIXV0d1q9fj6lTpyInJwfhcBgDBgzAhg0b2nz8X//6V1iWhcsuu8yVwZ7KJG8geBWMfpKPsAHMmCZ+ugoG4AnQJtk6S2jnzp0IhULo3bt34r7S0lJUVVW1emxzczMWLFiAJ554Aq+//nqHz9vU1ISmpqbUgWVmIjs7287wUsS/z47/v3bJyycYDLr+vrqyvJIPUzY1NflmmXfEb/lqbGxM3M7MzBSVLyD1ZMDGxkbk5eW5Mi6ptOYrGo0mztHJysrydPymlllyAdH2eXTEZMYyMjp3bMNWAamvr2818fPy8tr8CmbZsmW46qqrcPbZZ//T512yZAkWL16cct/EiRMxadIkO8NrU01NTZefQ4L9+/cnbh84cADV1dVGXsfJ8tqzZ0/i9pEjR4yNTSK/5Ku2tjZxu6mpSVS+gNS9z6qqKnz99dduDUk0bflKLrItLS1pWRe4vcziG9P6+npfrttMZKykpKRTj7NVQHJzcxGJRFLui0QiCIVCKfft3bsXf/rTn/Db3/62U89bXl6OyZMnpw7MhSMgNTU16Nu3b6fbmGTJy/jss89GcXGxq8/fleXVrVu3xO2srCzXxyaR3/KVrKCgQFS+AKB79+6J23369OnUjo1mWvOVXAzz8/M9XReYWmbx9ZtlWb5at0nImK0C0q9fP9TV1WHv3r3o1asXAKCyshJjxoxJedw//vEP1NbW4qabbgJw/NyRWCyGr776CosWLWr1vNnZ2V0qGx3JyMhQNYHbk3zmf7du3Yy9JyfLK7mAtLS0+GJ5d5Yf85WdnS0qXwBS1g/RaNQXy7wztOXLqxx1xO1llvxbeDV9Fp2VzozZKiChUAjhcBgVFRX4z//8T/ztb3/D9u3bEQ6HUx535ZVXYuXKlYn//u1vf4v9+/fjvvvuc2fUpyAtJ6HyRC2dJOcLYMa0kJ4jJ3gSqjm2a8/MmTOxb98+DB8+HPPnz8fcuXNRUFCANWvWJM7ZyM7ORs+ePRP/y83NRbdu3XD66ae7Pf5ThuSJzSsU9ONVMOQG6TlyggXEHNu/K7ewsBALFy5sdX9ZWRnKysra/DdTp061PzJKoaWAcJLqJDlfADOmhfQcOcECYo7/vtDyKcl/Cyb5MlxOUp0k5wvg3+TQQnqOnODfITKHBUQJyXsWgUCAk1Q5yfkCeAREC+k5coJ/h8gcFhAlpH+3ysOUuknfcLCA6CA9R04kvw8//SIyCVhAlJA+sVlAdNOSL4AZk0x6jpxg9sxhAVFC+sRmAdFNS74AZkwy6TlygtkzhwVECekTO/mX9ZA+Wr7iA5gxyaTnyAkWEHNYQJSQfnY5T0LVTUu+AGZMMuk5coLZM4cFRAktR0A4QXXSki+AGZNMeo6cYPbMYQFRIjn4yb93QwoWEN2kbzi4EdBBeo6cYPbMYQFRIv7dalZWFgKBQJpH0xoLiG7SNxzcCOggPUdO8Pwjc1hAlIhPbKmTmgVEN+kbDhYQHaTnyAlmzxwWECW0FBDuIegk/eoF7oXqID1HTrCAmMMCooSWAmJZFqLRaJpHQ3ZJ33PlRkAH6TlygtkzhwVEiXjwpV7axkvVdJN++STzpYP0HDnB7JnDAqKEliMgACepRtL3XJkvHaTnyAlmzxwWECWSr4KRiJNUN+kbDuZLB+k5coLnH5nDAqIEj4CQSdI3HMyXDtJz5ASzZw4LiBKaCgj3EvSRfvUC86WD9Bw5wQJiDguIEpoKCCepPtL3XJkvHaTnyAlmzxwWEAUsy+JVMGSU9KsXmC8dpOfICWbPHBYQBZJ/r4bUvQruJegmfc+V+dJBeo6cYPbMYQFRQMP3qpykuknfcDBfOkjPkRM8/8gcFhAFNExqbiB0k54x5ksH6TlygtkzhwVEAQ2TmnsJukk/ysZ86SA9R06wgJjDAqKAtgLCSaqP9IwxXzpIz5ETzJ45LCAKaDiznGeK6yY9Y8yXDtJz5ASzZw4LiAIa9iq4l6Cb9IwxXzpIz5ETzJ45LCAKaPhelZNUN+kbDuZLB+k5coLnH5nDAqKAhknNDYRu0jPGfOkgPUdOMHvmsIAooGFScy9BN+lH2ZgvHaTnyAkWEHNYQBTQVkA4SfVJ/syCwWAaR9I25ksHDesqu5g9c1hAFNBwZjnPFNct+W8NBQKBNI+mtYyMjMS4mC+5NKyr7OK6zRwWEAU07FVwL0E36X9tGTgxNuZLLg3rKru4bjOHBUQBDZOak1Q3FhByg4Z1lV1ct5nDAqKAhhO7OEl1YwEhN8Q/m0AgIPJcIid4ArQ5LCAKaNir4CTVLf6ZSc0XcGJszJdcGnJkF3euzGEBUUBbAeEk1YdHQMgNGnJkF9dt5rCAKKDhzHKeKa5b8lUwUsXHxnzJpSFHdnHdZg4LiAI8AkKmadhz5REQ+TTkyC6u28xhAVGABYRM07DhYAGRT0OO7OK6zRwWEAV4FQyZpmHDwQIin4Yc2cUT7M1hAVGAR0DINA0bDhYQ+TTkyC6u28xhAVFAWwHhXoIusVgMlmUBkJsvIPUy3Ph4SRZehkt2sIAooK2AcJLqoiFfQOrYotFoGkdC7fHjEZBgMMi/Q2QIC4gCvAyXTNKQL4AZ08CPl+ECvATcFBYQBTTsofIIiF4a8gUwY9JZluXLIyAAzz8yhQVEAV4FQyaxgJAbkr8Wk5wjJ/hnAMxgAVFAwwaCGwe9NOQLYMak05IjJ3gExAwWEAU0TGxeBaOXhiNsADMmnZYcOcECYgYLiALaCggnqS4a8gUwY9JpyZETLCBmsIAooOEqBV6hoJeGfAHMmHRacuQEr4IxgwVEAQ17Ftw71UtDvgBmTDotOXKCR0DMYAFRQMPE5sZBLw35Apgx6bTkyAkWEDNYQBTQcHJXMBhM3OYk1UXLhoMFRDYtOXKCl+GawQKigIaJHQgEOEmV0lBwAV4FI52WHDmRfASEf4fIPSwgCmgoIAAPU2qlLV8AMyaRlhw5wb9DZAYLiAJazi7nmeI6acsXwIxJpCVHTjB7ZrCAKKBlz4JHQHTSli+AGZNIS46cYPbMsF1ADh06hBkzZmDIkCEYP348Nm/e3Obj5s+fjxtvvBFXX301brnlFmzcuLHLgz1VaZnYLCA6acsXwIxJpCVHTjB7ZtguIPPmzUNRURHWrl2LGTNm4IEHHsCRI0daPS4UCmHhwoVYv3497rvvPsyaNQtffvmlK4M+1Wg5uYsFRCctGw5uBGTTkiMneAK0Gba+qKurq8P69euxcuVK5OTkIBwOY8CAAdiwYQPGjh2b8tipU6cmbg8ePBj9+/fHtm3b8I1vfKPV8zY1NaGpqSl1YJmZyM7OtjO8FLFYLOX/NUue2MFg0Mh7cmN5JV8F44fl3hE/5St57mVmZorNV/L38E1NTb5Y9u3RmC8vctQRk8ssOXuNjY2qPpf2mFxeGRmdO7Zhq4Ds3LkToVAIvXv3TtxXWlqKqqqqDv/d0aNHUVlZif79+7f58yVLlmDx4sUp902cOBGTJk2yM7w21dTUdPk50u3YsWMAjl/qumvXLqOv5cbyamxsRHV1tQujkc8P+dqzZ0/i9tGjR41+dl1ZXl9//XXi9ldffXVKZExTvpKPcEcikbR9PiaWWXK5+uKLL3x1JYyJ5VVSUtKpx9kqIPX19cjLy0u5Ly8vr82vYOJisRjmzJmDa6+9tt1BlZeXY/LkyakDc+EISE1NDfr27dvpNiZVfPyZmZkoLi428hpuLK/c3FwAxy9TMzVOKfyUr+7duydu9+rVy8hn58byOuOMMxK3CwoKfJ0xjfkqLCxM3O7Zs6fnn4/JZVZQUJC4bWqOeE1CxmwVkNzcXEQikZT7IpEIQqFQu//m8ccfx7Fjx/DYY4+1+5js7OwulY2OZGRkqJnA7Yl/BZOVlWX8vXRleSWfA6J9mXeWH/KVvDfXrVs3o++nK8urW7duidvRaFT9cu8MTflKzlF2dnbaxm1imSVvn/yWvXRmzNar9uvXD3V1ddi7d2/ivo6+WlmwYAG2bduGp556yljBOBUkFxDJ+NsCddJy8iBPQpVNS46cYPbMsFVAQqEQwuEwKioq0NDQgI0bN2L79u0Ih8OtHvvcc89h06ZNWLhwYauvbcie+FnX0ic1f1ugTlo2HNwIyKYlR07wKhgzbB93mTlzJvbt24fhw4dj/vz5mDt3LgoKCrBmzZqUk0afeeYZ7Nq1CzfccAOGDh2KoUOHYs2aNa4O/lSh7QgIwEmqibbLvAHmSyItOXKC5dcM278vt7CwEAsXLmx1f1lZGcrKyhL/vWXLlq6NjBI0FpDm5mbk5OSkcTTUWVr2XLkRkE1Ljpxg9szwz5k0PhYPvPS/r8C/l6CTlr/hwXzJpiVHTjB7ZrCAKKD1CAjpoGXPlfmSTUuOnGD2zGABUYAFhEzSsuFgvmTTkiMnmD0zWEAU0HgVDCepHlo2HMyXbFpy5ARPgDaDBUQ4y7JUHgHhJNVDy9ULzJdsWnLkBMuvGSwgwiX/Pg3pk5qTVCcte67Ml2xacuQEs2cGC4hwms4s55niOmnJGPMlm5YcOcHsmcECIpymvQruJeikJWPMl2xacuQEs2cGC4hwmiY1J6lOWjLGfMmmJUdOMHtmsIAIp2lSc5LqpCVjzJdsWnLkBLNnBguIcJrOLOck1UnLhoP5kk1LjpzgFVhmsIAIp2lSc5LqpKXkMl+yacmREyy/ZrCACKe1gHCS6qElY8yXbFpy5ASzZwYLiHCaLm3jpWo6ackY8yWblhw5weyZwQIinKa9Cu4l6KQlY8yXbFpy5ASzZwYLiHCaJjUnqU7Jn1UwGEzjSDrGfMmmaV1lF7NnBguIcJpO7OIk1Sn5bw0FAoE0j6Z9GRkZyMg4vspivuQ5VQoIT4B2DwuIcJomNSepTlr+2jJwYozMlzyadpbs4s6VGSwgwmktIJykemj5a8vAiTEyX/JoWlfZxXWbGSwgwmk6s5xniusU/6yk5ws4MUbmS574ZxIIBBJflfkF121m+CslPqRpr4J7CTrxCAi5QVOO7OK6zQwWEOFYQMg0TRsOFhC5NOXILq7bzGABEU7TiV2cpDpp2nCwgMilKUd28QR7M1hAhNN6BISTVA9eBUNu0JQju7hzZQYLiHBaCwgnqR6a9lx5BEQuTTmyi+s2M1hAhONVMGQar4IhN2jKkV1ct5nBAiIcj4CQaZr2XHkERC5NObKL6zYzWECEYwEhk6LRKCzLAiA/X0DqOSDxcZMMLCBkFwuIcCwgZJKmfAE80VkyPxeQYDCY+DtJXLe5hwVEOK2X4XLjoIOmfAHMmGR+vgoG4BVYJrCACKdpD5VHQPTRlC+AGZPKsixfHwEBeP6RCSwgwvEqGDJJU74AZkyqaDSauK0hR07wCiz3sYAIp2kPlXun+mjKF8CMSaUtR07wCIj7WECE0zSxuXHQR1O+AGZMKm05coIFxH0sIMJpmtjcOOijKV8AMyaVthw5wQLiPhYQ4TRdpcArFPTRlC+AGZNKW46c4FUw7mMBEU7TngX3TvXRlC+AGZNKW46c4BEQ97GACKfpKgVeoaCPpnwBzJhU2nLkBK+CcR8LiHCa9iyCwWDiNiepDpryBfAIiFTacuQEj4C4jwVEOE0TOxAIcJIqoylfAAuIVNpy5AT/DpH7WECE0zaxWUB00ZovgBmTRFuOnOAJ0O5jARFO29nlLCC6aNtwsIDIpC1HTrCAuI8FRDhtE5uXqumiteACzJgk2nLkBMuv+1hAhNN2djnPFNdFa74AZkwSbTlygtlzHwuIcFqPgHCC6qA1XwAzJom2HDnB7LmPBUQ4bRObBUQXrfkCmDFJtOXICWbPfSwgwsWDHggEUn7PhlQsILpo23BwIyCTthw5wey5jwVEuPjJXVomNQuILto2HNwIyKQtR07wBGj3sYAIF5/YWiY1r4LRRdvVC9wIyKQtR06w/LqPBUQ4rQWkubmZvy1QAW17rtwIyKQtR04we+5jAREuHnQtl7YljzMajaZxJNQZ2i6f5KWQMmnLkRPMnvtYQITTegQE4CTVQNueK/Mlk7YcOcHsuY8FRDgWEDJJ24aD+ZJJW46cYPbcxwIiHAsImaRtw8F8yaQtR04we+5jARFO62W4AK9S0EDb1QvMl0zacuQEs+c+FhDheASETNK258p8yaQtR04we+5jARFO81UwnKTyabt6gfmSSVuOnGD23Ge7gBw6dAgzZszAkCFDMH78eGzevLnNxzU0NGDWrFm4+uqrMWbMGLzxxhtdHuypxrIs1V/BcJLKp23PlfmSSVuOnGD23Ge7qs6bNw9FRUVYu3Yt3nvvPTzwwANYsWIFCgoKUh5XUVGBw4cPY/Xq1dixYwemT5+OCy64AOecc45bY7dt06ZNeOedd9L2+nbFYrHEbS2TOnmczzzzDHr37p3G0ZhjWRYOHTqEwsJCBAKBdA/HsS1btiRua8hY8hg3b96MefPmpXE05mjL18aNGxO3NeTIieT39corr+CLL75I32BcEM/Yj3/8Y5x55plpGYOtAlJXV4f169dj5cqVyMnJQTgcxoABA7BhwwaMHTs25bGrV6/GvHnzkJ+fj29+85sIh8N48803MXXq1FbP29TUhKamptSBZWYiOzvbwVs6Lr7xTt6Ir127FnPmzHH8nOmUlZWV8l7c1tbyciL5MOX8+fO79FzkrWAwaCxjbuUr+Q8yvvvuu3j33Xe79HzkPpM56ohbGWtPcvb+8Ic/4A9/+IOR1/HahAkTXN9RzMjo3JcrtgrIzp07EQqFUgZbWlqKqqqqlMcdPXoUBw4cQGlpacrjPvroozafd8mSJVi8eHHKfRMnTsSkSZPsDK9NNTU1iduHDx/u8vOly8CBA1FdXW38dZKXlxMXX3yxSyMhL/Xu3RtZWVnGM9bVfHXr1g29evXC3r17XRoRual79+4oLCz0ZF3Vnq5mrD2lpaUIBAK++xMTtbW1rn9eJSUlnXqcrQJSX1+PvLy8lPvy8vJw5MiRlPvq6uoSP0t+XH19fZvPW15ejsmTJ6cOzIUjIDU1Nejbt2+ijd155524+uqrHT9nuvTq1QtXXHGF0UOxbS0vJ6ZNm4ahQ4dix44dLo5OHsuysH//fvTs2VPFIfKOZGRkIBwOt/oa1U1u5QsAPv30U/zlL39Jy162VzTmKxAIYMiQISgqKkrL67uZsbYUFxejsrISW7dudf250yGescsvvxw9evRIyxhsFZDc3FxEIpGU+yKRCEKhUMp98f+ORCLIz89P3M7NzW3zebOzs7tUNjqSkZGRCOOFF16ICy+80Mjr+EXy8nJq0KBBGDRokEsjkikWi6G6uhrFxcVGVnZ+5Ua+evTogXHjxrkzIKGYL+fcyFh7SkpKOr13L108Yz169Ehbxmy9ar9+/VBXV5dy+LOyshL9+/dPeVz37t1RVFSE7du3pzxuwIABXRwuERER+YGtAhIKhRAOh1FRUYGGhgZs3LgR27dvRzgcbvXY0aNH44UXXkAkEsEnn3yCDRs2YOTIka4NnIiIiPSyfdxl5syZ2LdvH4YPH4758+dj7ty5KCgowJo1a1JOGp06dSq6d++OUaNG4f7778f/+3//L62X4BIREZEctn8PSGFhIRYuXNjq/rKyMpSVlSX+OycnB48++mjXRkdERES+xLObiIiIyHMsIEREROQ5FhAiIiLyHAsIEREReY4FhIiIiDzHAkJERESeYwEhIiIiz7GAEBERkedYQIiIiMhzLCBERETkuYBlWVa6B0FERESnFh4BISIiIs+xgBAREZHnWECIiIjIcywgRERE5DkWECIiIvIcCwgRERF5jgWEiIiIPMcCQkRERJ5jASEiIiLPsYAQERGR58QVkA8++AB33HEHwuEwhg8fjrvuugtffvmlq6/R0NCAWbNm4eqrr8aYMWPwxhtvJH524MAB3HPPPRgxYgQGDx7s6uuatnz5ckyePBmXXXYZKioqEvdv2rQJU6ZMQTgcxqhRo/DUU0+hpaWl3efZtWsXpkyZgquuugqTJ0/G559/nvhZLBbDk08+iWHDhuG6667DsmXLjL4nt6U7X3Y/C2mYsX8u3Rn7+OOPccstt2DYsGEYMWIEZs+ejbq6Oldf3xTm659Ld76STZ8+HZdddpnzF7IE+frrr61hw4ZZ69ats6LRqBWJRKy33nrL+uqrr1x9naefftqaNm2a9fXXX1sfffSRNWzYMGvHjh2WZVnWwYMHrZdeesl65513rEsuucTV1zXt7bffttavX2/NnDnTeuaZZxL3r1mzxvrrX/9q1dfXWwcPHrS+//3vW88//3y7z/O9733PeuaZZ6yGhgbrpZdessaOHWs1NzdblmVZf/zjH61///d/tw4cOGBVV1dbo0aNst577z3j780NEvJl97OQhhnrmISMHTp0yKqtrbUsy7Lq6+uthx56yHr66addfX1TmK+OSchX3Ntvv21NmTLFuvTSSx2/jqgjINXV1cjOzsa1116LjIwMhEIhXHPNNejTpw+i0SgqKipw/fXX47rrrsP8+fMTDbiiogIPPvgg7r33Xlx99dX4wQ9+gN27d7f7OqtXr8b3v/995Ofn45vf/CbC4TDefPNNAEBhYSEmTJiA8847z5P37KZhw4YhHA7jtNNOS7l/1KhRuPzyy5GTk4PCwkKMHj0aH3/8cZvP8cUXX2DHjh0oLy9Ht27dMGHCBMRiMXz44YcAji+72267DT169EC/fv0wbtw4vP7666bfmisk5MvOZyERM9YxCRk7/fTT0atXLwCAZVnIyMjArl27zL95FzBfHZOQLwBobGzEokWLcPfdd3fp/YgqIMXFxWhubsYjjzyCd999F8eOHUv8bNmyZdi6dStefPFFvPzyy9i2bRtefvnlxM/feustjBs3DuvWrcPFF1+M2bNnt/kaR48exYEDB1BaWpq4r7S0FJWVlebemDBbt25F//79E//94x//GEuXLgUA7NixA/369UN2dnbi58nLp6qqCueee27Kz6qqqrwZeBdJzNfJn4VfMGPpzdiePXswbNgwDB06FG+99RYmTZpk4N2mD/OV3nwtXboU1113XaLoOiWqgOTn5+PZZ59FU1MTZs+ejREjRmDWrFmIRCJYuXIlfvjDH6KwsBCnnXYabrvtNqxbty7xb7/1rW9h6NChyMrKwtSpU/Hxxx9j3759rV4j/l1oXl5e4r68vDzU19ebf4MCrFu3Dps3b8bkyZMT9z399NO44447ABxfPsnLBkhdPvX19a2WnZbvl6Xlq63Pwg+YsfRnrE+fPli/fj3+93//F3fccQf69Olj8F17i/lKb752796NtWvX4nvf+16X309ml5/BZaWlpXjkkUcAAJ9++ilmzpyJF154AXv27MH06dMRCAQAHD+0mNy+evfunbidk5ODgoIC7N+/H6tWrcKSJUsAAOXl5ZgwYQIAIBKJID8/P3E7NzfXk/eXTlu2bMHjjz+OBQsWoEePHm0+JhQKIRKJpNyXvHxyc3NTfh6JRBAKhcwN2mVS8tWZz0IjZkxOxgCgR48euPLKK/HTn/4Uv/nNb8y8YQ8xX+nP11NPPYW77roL3bp16/J7EVdAkv3Lv/wLrrnmGlRWVqJXr1547LHHcMEFF7T52Nra2sTthoYGHDlyBD179sSUKVMwZcqUlMcWFRVh+/btGDhwIACgsrISAwYMMPY+JPjkk08wc+ZMPP7447jwwgvbfVxJSQlqamrQ1NSUOIRZWVmZ2Nvo378/tm/fnjiEWVlZqfYrhHTlq7OfhTbMWGsS1mHRaFTNOSAdYb5aS0e+3n//fXz88cf4xS9+gWg0img0ipEjR2LRokW2t6OivoL54osvsGzZssRhoerqavzlL3/BRRddhLFjx2LRokXYv38/LMvC7t278f777yf+7UcffYRNmzahubkZixcvxkUXXYQzzjijzdcZPXo0XnjhBUQiEXzyySfYsGEDRo4cmfh5Y2MjmpubE7ebmpoMvmv3tLS0oLGxEbFYDNFoFI2NjYhGo9i+fTvuuecezJo1659eWnzOOefgnHPOwdKlS9HU1IQVK1YgEAgkglhWVoYXX3wRhw4dQk1NDV599VWMGTPGg3fXdRLyZeezkIgZ65iEjG3cuBFffPEFLMvCvn37sGjRIjVZY746JiFfL7/8MpYtW4Zly5ZhwYIFCAaDWLZsGYqLi22/n4BlWZaD5WDE3r178eSTT+LDDz9EJBJBQUEBhg8fjrvvvhuBQABLly7FqlWrcPjwYfTp0we33347Ro8ejYqKClRXV6OxsRGbN2/Geeedh5///Of4xje+0ebrNDQ04NFHH8WGDRvQvXt33H333Rg1alTi5ycH/Mwzz8SqVauMvnc3VFRUYPHixSn3zZ49Gx988AFef/31lENmgwYNwsKFCwEcv5Z74MCBiRZcU1OD2bNn47PPPkNxcTFmz56N888/H8Dxa+jnz5+PVatWISsrC7fffjtuu+02j95h10jI15w5czr8LKRjxjomIWOvvvoqlixZggMHDiA/Px9XXnklpk+fjtNPP93DJeEM89UxCflKtnv3btx000147733HL0fUQXEqYqKCuzduxezZs1K91DIh5gvMo0ZI5Ok5kvUVzBERER0amABISIiIs/54isYIiIi0oVHQIiIiMhzLCBERETkORYQIiIi8hwLCBEREXmOBYSIiKgTmpqaMGfOHIwZMwbhcBh33HEHPvroo8TPly5diu985zu49tprsWDBAiRf4zF37lyMGzcOgwcPxpYtW1Ket6KiApdddhmGDh2a+F9H3n77bdxyyy0Ih8MYMWIEpk+f3urv37jh0KFDmDFjBoYMGYLx48dj8+bNrR7T0tKCm2++GePGjbP9/KL/FgwR6bFlyxbcddddAIA//elPOOuss9I8IiJ3RaNRnHXWWXj++efRq1cv/PnPf8Y999yDVatW4YMPPsBLL72EpUuXIicnBz/60Y9QXFyc2DCfd955uO666xJ/SO5k119/fad+UdjOnTvx85//HE899RQGDhyIY8eO4S9/+YubbzNh3rx5KCoqwtq1a/Hee+/hgQcewIoVK1BQUJB4zB//+Efk5+ejsbHR9vPzCAgR2fbwww9j8ODBuPPOOxP35efn4+KLL8bFF1+c+CNgRH6Sm5uLH/zgB+jTpw8yMjIwcuRIZGVlobq6GqtXr8ZNN92Es88+Gz179sRtt92G1atXJ/7thAkTMHjwYGRmdm2///PPP0dxcTEGDRqEQCCA0047DWPGjEFeXh6A479Gfd68eRg1ahRGjx6NpUuXJv7tww8/jF/84he48847EQ6Hcc899+DIkSNtvk5dXR3Wr1+PqVOnIicnB+FwGAMGDMCGDRsSjzlw4ABeeeUVlJeXO3ovLCBE5IoLLrgAS5cuxdKlS9GzZ890D4fIuJ07d+Lo0aPo27cvduzYkfgLuwBQWlqKysrKTj/XunXrMHz4cNx6661466232n3cBRdcgM8//xwLFizABx98gIaGhpSfL1iwAEePHsWKFSvw3//931i9ejU2btyY+Pnq1asxffp0vPnmmwiFQnjiiSfafW+hUAi9e/dOeU9VVVWJ//7Vr36F8vJy5OTkdPp9JmMBISJbbrjhBrz22msAgA8++ACDBw9OfK8dv717924AJ46UxP9N/LvzJ598Eg0NDXjyyScRDocxZswYLF++POV19u3bhzlz5mDUqFG4/PLLceONN+K5555DS0uL5++Z6GQNDQ2YNWsW7rjjDuTn56Ouri5xFAIA8vLyUF9f36nnGjFiBJYvX44333wTd999N+bMmYNPPvmkzceeffbZWLRoEXbt2oX77rsP3/nOd/DLX/4SLS0tsCwLf/rTn/DjH/8YoVAIZ5xxBr773e9i3bp1iX8/bNgwXHzxxcjJycFdd92FdevWoa3fR1pfX5/yfuLvqa6uDsDxv667c+dOlJWVdeo9toXngBCRLeeffz7q6+tx+PBh5OXloaSkBACwbdu2dv/N/v378fjjj6Nnz56IRCL43e9+h3fffRd79+5Ffn4+amtr8Ytf/AKXXHIJSkpKcPjwYdxxxx2ora1NvEZVVRWeeeYZfPnll5g9e7ZXb5eolZaWFsycORN9+/bFD37wAwBAKBRKORE0EokgNze3U8/Xv3//xO0rrrgCI0eOxIYNG3DxxRdj+vTp2Lp1KwBg4cKFGDRoEAYOHIiBAwfCsixs2bIF999/P0pKSnDttdeisbEREydOTDyfZVn49re/nfjv5CMavXv3RlNTE44cOYJFixZhzZo1AIAHH3wQJSUlrU5sjUQiCIVCiMVieOKJJ3D//fcjEAh0drG1wgJCRLY88cQTePjhh/Haa6/h/PPPx7PPPgsArc7sT9bc3Iz/+q//wre+9S3ccMMNqK2tRU1NDVasWIHTTz8dI0aMQGNjI95//32UlJTgj3/8I2pra1FUVITf//73KCwsxPr163Hffffhtddew5QpU9C3b1+v3jJRQiwWw6xZsxAIBPDwww8nNsAlJSXYvn07wuEwAKCyshIDBgxw9BoZGSe+nFi4cGG7jwsEAvi3f/s3DB48GJWVlRg/fjyys7OxcuXKlBNFk9XW1qbczs7ORkFBAR588EE8+OCDiZ/V1dWhrq4Oe/fuRa9evRLvacyYMYhEIti2bRt+8pOfADg+vyORCEaOHImXX34Z+fn5nXufnXoUEVEXdO/eHQMHDkRGRgb69OkDABgwYADOOusshEIhFBYWAgAOHjwIAPj73/8O4PhJbiNGjMDgwYNx3333ATi+R9fe4Wki0+bOnYsDBw7g8ccfTzmhdPTo0VixYgV27dqFAwcOYNmyZRg9enTi583NzWhsbIRlWWhpaUncBoANGzbg2LFjiMVi+Nvf/oY1a9ZgyJAhbb7+hx9+iJUrV+Lw4cMAgE8//RRbt27FRRddhIyMDIwZMwZPP/00vv76a8RiMezYsSNlvmzYsAF///vf0dDQgGeffRbDhw9v8yhGKBRCOBxGRUUFGhoasHHjxkTBys/Px+rVq7Fs2TIsW7YMDz30EHr37o1ly5a1+tqmIzwCQkTGJa+UgsFgq/viK8CTv4tO/oonmdOT3oi64quvvsKrr76Kbt264Tvf+U7i/oULF2LIkCGYMGECbr/9dsRiMYwbNw433nhj4jE/+tGP8MEHHwAApk2bBuDE5epvvPEGHn744cRlvj/96U9TvjZJlp+fj7feegu/+tWv0NjYiKKiItxyyy24/vrrAQD33nsvfv3rX+OWW25BJBJBv3798MMf/jDx70eNGoUFCxbgs88+w8CBAzFnzpx23+/MmTMxe/ZsDB8+HL1798bcuXMTR1aSTzTv3r07MjIybJ98zgJCRLbFC8DJZ+C75cILL8Q777yDYDCIuXPnJn6nSCQSwdtvv41rrrnGyOsSdeTMM8/s8KvG8vLydi9JjX9V2ZbHHnus02MoLS3FggUL2v15Tk4O7r33Xtx7771t/ryoqAj3339/p16rsLCww6+A4gYPHoxXX321U8+ZjAWEiGw755xzAAD/+Mc/cPPNNyd+P4JbJk2ahJUrV2Lv3r347ne/mzghrra2Fi0tLYm9PSLSi+eAEJFtY8eOxbXXXov8/HxUVlbik08+QSwWc+35CwsLsWTJEtxwww0oKChAZWUlGhsbMWjQoMSJb0SkW8Bq6wJgIiIiIoN4BISIiIg8xwJCREREnmMBISIiIs+xgBAREZHnWECIiIjIcywgRERE5DkWECIiIvIcCwgRERF5jgWEiIiIPMcCQkRERJ5jASEiIiLP/X/vaMwGR5GMYgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "detector = common.DataQualityDetector(\n",
    "    threshold_type='quantile', \n",
    "    upper_threshold=0.8\n",
    ")\n",
    "\n",
    "# Fitting on some data\n",
    "detector.fit(test)\n",
    "\n",
    "# Detecting on other\n",
    "detector.detect(test[:72]).plot();"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "19b7ef0f-f253-4508-846e-27ea1df714aa",
   "metadata": {},
   "source": [
    "## Missing Data Detector"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4bf95f58-76de-4e9f-a255-cb4d874f4864",
   "metadata": {},
   "source": [
    "Creating data with NaNs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "f1861ec2-8b00-4197-b9c6-9efe7851b6ff",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "\n",
    "def add_random_nans(series, n=1):\n",
    "    \"\"\"\n",
    "    Randomly add NaN values to a pandas Series.\n",
    "    \n",
    "    Parameters:\n",
    "    - series (pd.Series): The pandas Series to modify.\n",
    "    - n (int): The number of NaN values to add. Default is 1.\n",
    "    \n",
    "    Returns:\n",
    "    - pd.Series: The modified pandas Series with NaN values.\n",
    "    \"\"\"\n",
    "    n = min(n, len(series))\n",
    "    nan_indices = np.random.choice(series.index, size=n, replace=False)\n",
    "    series[nan_indices] = np.nan\n",
    "    return series"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "5117df37-64c4-470b-b102-343a6be554db",
   "metadata": {},
   "outputs": [],
   "source": [
    "ts_w_nans = on.TimeSeries.from_series(add_random_nans(test.pd_series(), 300))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9f4020b1-00c3-494d-8cae-d2cb8d8f52ed",
   "metadata": {},
   "source": [
    "Detecting the NaNs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "bac3e163-2661-4997-835e-0bd815b5be03",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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cVutqa2uztS4Zx6ulpSXu+6r+3czHODc317Kc5iwYVffDa7rUR1VYHS+rL1W364pVG9Le3q7s303HNkS2zgFIOo6T3aEdRwHIvn37EAgE0K9fP/HekCFDsGfPnphlp02bhr/85S/46le/ioMHD+Kjjz5CVVWV5XqXL1+OZcuWxfz+9OnTnRTPUl1dXcrrSCer3qMTJ06gtrbW8boaGhpi3jt16pSjdXl5vOKVq7a2Fvn5+Z6Vw4mTJ0+K17m5uZbHK3Jvk7a2tqT+jplM9fqoGvPxsvqyra+vd/UcO3LkSMx7wWBQ2fP42LFjlu/v379f2TLL1tTUBOCLICEddXLgwIG2lnMUgDQ1NaGwsDDqvcLCQssv0csuuwyrVq3CyJEjEQqFcPfdd+OCCy6wXG9VVRVmzJgRXTAXekDq6urQv39/6RNtEon3QLPy8nLH6+revXvMe7m5ubbWJeN4HT9+3PL9M844I6n994J52CU3N9fyeEXqSHt7OwYMGCBuzZ7NdKmPqrA6XlaTLXv27OlqXQkEAjHv+Xw+ZetjvO+I3r17K1tmVUS+L2TWSUcBSEFBAYLBYNR7wWAw5qQNhUKYNWsWZsyYgenTp6O+vh6zZ8/Geeedh4qKipj15uXlpRRsJKLCTN9E4k0sS6bM8SaQOVmXl8cr3iOzQ6GQsn+zzpNQrY6XOagMh8NKjLWqQvX6qBrz8Yp3l1I3j6cbbYiXdGxDZOs8BCOzTjra6oABA9DY2IhDhw6J92pqajBo0KCo5U6ePIn6+npMnTpVzAEZMWIE3nnnHXdKnUE4CdX++ypwMgm18/JEyTIMg5NQLejYhsim0iRURwFIIBBARUUFqqur0dzcjG3btmH37t0xvRolJSUoKyvDH//4R4TDYRw8eBDbt2/HkCFDXC18JmAarv33VWAuW7xbsZsrtsr7QvqIN1GQabj6tSGyaRuAAMCcOXNw+PBhjB49GosWLcKCBQtQXFyMdevWRU0aXbhwIV5//XVce+21uP322zF8+PCYTBnK7ofR6Xj1Eilbbm5u3Lkd5p4RlfeF9OFVXWEbkvlUCkAc34e1pKQES5YsiXm/srISlZWV4ueLL74YL774YmqlywIcgrH/vgrsVF4OwZDbZAYgKp/DOrYhsqkUgHCWjmTmkyHRZDMn6wI6Jgynsi4vWJW38/uqYQBCMnhVV9iGZDbzretlPwcGYAAinfkLLdU7aJp/L5KZpHJFtCpv5/dVwwCEZPCqrrANyWx2HiXhJQYgkqUjAPH5fCLHW+WKqGPjwQCEZGAAYk3HNkQm83FRIQCR3weT5SIRqXkIJtUsGDeCGS+Y99PceKg86c18jONhFgy5zau6YrUdtiGZw85tBLwkvwRZLh1zQMwBiMoVUcerF/aAkAwye0AMw0A4HFbyxl46tiEyqdYDot4ZlWXSMQSjSw+IjhPIzGm48TANl9wmcxJqOrbjFt3KKxsDEIpi/kIzP0VV9rq8oGPjwR4QkkFGAGJ+IKSq57GObYhM5h5xDsFQ2odgVK6IOnafMgAhGbwegsnJyYl6Ppeq5zEDEGdU6wFhACKZF3NADMNQ8omsDECI7PE6ADG3IenYjlt0bENkUi0A4RCMZFaZK25mwaSyvnTTbQZ7OByGYRgAmAVD3vI6C0aXAES3NkQ2BiAUJd2TUAF1K6NuVy92K68ODTfpRXYPCNuQzMAAhIRQKBR1RR05IczvO6Fz96kO47d2c+iZBUNu83oSKtuQzMQAhITOX2ipfnFZZcEkuy4v6NZ42A1AdGi4SS9eByBsQzKTalkwDEAk6hyNpvLFZRiGduO3unWfcgiGZGEPiDXd2hDZ2ANCgpsBSOeHDLHxcB8DEJLFfB7l5eUhJycn5n03t8M2JDMxACEhUdDgdNKXjgGIbjPY7T5JUofJe6SXePWbWTBf7L+5Z4j1zhoDEBLc7AFxc11e0e3qhT0gJEu8+s0eEL3aENlUC0Dkz0LJYp1PBvPDntwMQFS9GtBtAhmzYEgW2QEI25DMwACEhM5faOa7laYSgHAGe3qwB4RkiVe/3Ty/wuEwwuFwzDbc3o6bdGtDZFMtC0Z+CbKYVz0gqlZG3bpPGYCQLF70gLANyXzsASGBAYhejQcDEJKFAYg13doQ2ewOI3tFfgmyWOeZ7eYAhFkw6mEWDMniRRaM7m1Ifn6+5fv0BdV6QJgFIxGzYPS6emEPCMnCHhBrXk3OzRQMQEjwKgBR9WpAtwlkzIIhWWQHIDq0Id26dUvL5NxMoloAwiEYiTp/obk1B4Qz2NODPSAkixdftPG24fZ23ORFdlAmsTuM7BX2gEjkZoXXvfuUAQhRfJ2/aFN9craTbXT+TCXsAXFGtUmoDEAk4hyQ6MqQrudbuIUBCMniRf3WvQ1hANI11YZgGIBIxGfBfPHcCZ/Pl7bnW7iFWTAki5ttRTLbUL0NAaIDENY7awxASGAPyBe3fTb/r3p5gcTdlzoce9ILe0CsMQvGGdUCEPmDQFnMqxuRqXo1kKkBiA6T90gvsgMQ1dsQgEMwdjAAIYFZMNEBiOqNB+eAkCxeZKgwCybzqZYFwwBEos4VPhQKWX6WzLp0+BKMlCvSaOjUA8IAhLzkRYaKzlkwOTk58Pl8DEC6oFoWjPwSZDGvhmBUrYw6D8EwACEvyR6CUfU8TtSLahhG1BPGSb0hGE5ClYiTUBmAENnBAMRavDYEQFSPMnVgAEIC03C/SMM1/6/qhDem4ZIsTMO11rkNMQ8rsO7FYgBCAntA2ANCZAd7QKzFG4Ixf0ZfYABCgpuTvhJlwah6JaBzFkyiCVx+v1+MPau6L6QX2VkwqrchkbIyAEmMAQgJbjYqul29GIYRNwvGzedbuMlJ5VW9N4f0wiwYa+wBccYcSKqQBcMARKJsHoIxTxCzmkCmYpkZgJAs5vMoJyeHQzD/HwMQZ9gDQkI2ByBWFUHHMsfDAITcZP6iNT83yfyZW9uIbEf1+ggkzoJRtcwyqRaAyO+DyWKdZ52b7wOS6VkwVhklqmePOLmLoOoZPaSXeBlj5s/c2kZk/aq3IQCzYJxiAEJCNt+IjD0gRPZ5caWvWxsCcAjGKQYgJHSe9JWuZ8GoeCVgVRFUbzyc3MZY9Ywe0osXX7S6ZcEYhiHmknWeyA6w7lmJHJPIretlYwAiUecKn03PgrH6MtepzOwBIS/Fyxgzf+bWNiLb0bE+5uTkWH5OHSKBpAoZMAAnoUrFSagdOARDlBiHYGLp2IsqW+fzSDYGIBIxAOnAAIQoMRkBiOq9CTq2IbIxACEhm58FwywYIvtkZMGY0311aUNUn7ciGwMQEtgD0kGXq5dkekDa29uVvKsr6UVGD4j5f13qI4dgEmMAQoJXAYiKVwK6ByB2s2AANY8/6UV2AKLiOaxjGyIbAxAS3Jx1nigNV8WKqOPVSzI9IJ1/j8gp83OTvEzDNW9HxXPY6oJA9TZENmbBkJAo7z7VHhC/3y/uK6JiRdQ9Ddc8Qc+K6vtC+jCn53uZhmvejornsI4XMbKxB4SEdA7BmP9XsSLq2H1qrrxd3cRH9X0hfXhVVzKhDWEAkhgDEBIi3WE+ny/mCZepZsGY/1exIuqcBWOn8qq+L6QPr+pKJrQhnHuVGAMQEjqfDJFAxPyZ03WZ16dy46F7D0hXVN8X0gd7QKzp2IbIZL51PQMQsvxCS7bCs/FIv0iZ7EzgYlcwuYUBiDUOwTjjZBK9VxiASGT1hZZqAOLz+cTk08h6VeyK1LHxYA8IyeBVXUm0HdXbEGbBdM38N2QWDFl+oSWb9uZmb4oXdM6CYQBCXvKqrjALJrNlRA9IQ0MDZs+ejREjRmDKlCnYsWNH3GVfffVV3HzzzRg5ciSmTp2K/fv3p1TYTJOOIRgdAxDdhmAYgJCXVBiCMc8fUAUDEGdUDEAc98MsXLgQpaWl2LBhA95++2089NBDWLVqFYqLi6OW2759O/7rv/4LzzzzDAYOHIj9+/ejZ8+erhU8E1hlVSR758FE61KxIjILhsgeFbJggI52pKv733iJWTDOaB+ANDY2YsuWLVizZg3y8/NRUVGBwYMHY+vWrZg0aVLUssuWLcN9992HQYMGAQD69+8fd72tra1obW2NLlhuLvLy8pwUL0o4HI76X0XmK+pIOc1Bg5Oyp7our49XS0uLeJ2Tk4NwOBzVuLW2tir3t7M6xvHKaG4IW1palNsXr+lQH1ViPl7mupKbm5u2umL+gvL7/QiHwzHncSptstusjov5i1XFNkQmq+MFpKdORuYhdsVRALJv3z4EAgH069dPvDdkyBDs2bMnarlQKIRdu3ahpqYG8+fPR25uLm688UZ8+9vftryB0/Lly7Fs2bKo96ZNm4bp06c7KZ6lurq6lNeRLuYTora2Nuazzu8l0tzcDKDjDx/5vciJ1dbWZntdXh2vQ4cOidcnTpxAbW0tTpw4Id6rr693tP9eiDTQ4XBYHKd4x6uxsVG83r9/v3L7IovK9VFFdXV12Ldvn/i5ubkZtbW1qK+vF+9F6k+qgsEggI4vp8g2zb0Ie/bsQa9evVLejls+//xz8frUqVOoq6uLCpiOHDnCemdiPhatra1dtmGpGDhwoK3lHAUgTU1NKCwsjHqvsLAw6osDAI4dO4ZQKIS33noLv/3tb3Hq1Cncc889OPPMMzFx4sSY9VZVVWHGjBnRBXOhB6Surg79+/e3HY15LTKmWlBQgPLycgBAIBAQn0XesyMSbHTv3l38XuRvFQqFMGDAgIR37/T6ePXo0UO8PvPMM1FeXo6ysrKoz53svxciAUhhYSH69++f8HiVlpaK171791ZuX7ymQ31Uifl4HThwQLwfOZfMbWO3bt1cOb8i7YN5fZ3rad++fVPejlvMw/59+/ZF//79owKQQCCQ9fXOLHKRCnQcu67aMC84CkAKCgpElBwRDAbFl2ZE9+7dAQDf+ta30KNHD/To0QNTpkzBG2+8YRmA5OXlpa1rz/xMFNWYu/Q7p862tbU5KrfVuszdkZ27J+Px6niZr6zy8vLg9/vFeRP5XKW/WygUgmEYAKKPcbzjZT6fQ6GQUvsik8r1UUV+vz9q8mfk3EtHXTHfFiCyPpXPY/NxibQhneeAqFRe2ayOFyC3Tjra6oABA9DY2BjVfV5TUyPmeUT07NkTZ5xxRpfPy8hmVk+4NL92MwsmmfWlm25ZME4ncKm8L6QXr7NgdG5DmAUTn4qTUB0FIIFAABUVFaiurkZzczO2bduG3bt3o6KiImbZG264Ab/+9a8RDAZRX1+PP/7xjxgxYoRrBdedeeKPVYUPh8OOJgclyoIB1KuMumXBWJU3EZX3hfTidRYM25DMpH0AAgBz5szB4cOHMXr0aCxatAgLFixAcXEx1q1bFzVp9K677kKfPn0wYcIEVFVVYfz48ZgwYYKrhddZvJMh2QqUCVcvupU3EZX3hfTCHhBr7AFxRsUAxPF9QEpKSrBkyZKY9ysrK1FZWSl+7tatGx555BE88sgjqZUwQ9kJQNra2mzNjTEMQ7urF50DED4Lhrzk9a3YdW5DWO/iUzEA4QwdSeJ9oSVT4ePd41/lm/Lo1niwB4RksTr3UnlydlfbsXo0BKB2G6LL4xxkcjqM7AUGIJLY7QHxel1e0bkHhAEIeamr+s0eED0uYmRz2ovrBQYgksRrVJKpQLoHIDpcvTAAIVm66i11OwBJtUfWK1Z10nyHWNXKKxuHYEhgDwh7QIjsYA+INd3aENkYgJAQbzwumSwYO+tSrTLqlkLHNFySpav67cb5FQ6Ho260Z7U9HdoQleesyMYAhAT2gOh19cIeEJLFix4QtiGZjwEICW5mwcRbl8pXA7pNIGMaLsnS1XyxdAYgurQhkXKy3sXHLBgS2AOi19ULe0BIFvaAWIs3CTXyCBDVyisbs2BIYBYMs2CI7PAiC8bNHlmveNEzlEk4BEMCe0DYA0JkB3tArHmVHZQpGICQwCwYZsEQ2eFFFkymtCHm16x30RiAkMAeEH0nobIHhLzUVf0OhUIihTZd2+i8jArYA+IMAxASvM6CUa0yRspjfqZFOp5v4RZmwZAsbs4Xk7kNt3l1h9hMwSwYErzuAVGtO9Lqrovmn1VrPNgDQrJ40TuhcxsCsAfEDmbBkMAsmI7ydK4IqjYeDEBIFi8yVJgFk/k4BEMC54CwB4TIDlV6QFQ7j9kD4gwDEBKYBdNR5ngBiGrdvcyCIVncbCtS2YaqbQhg3WvDeheNAQgJ7AFhDwiRHewBsWYexo3c/RRQtw2RjQEICQxA9A1AmAVDXmIAYs1OG5JqenImYRYMCV6n4arWHRmv8VB1Ahl7QEgWVdJwVW1D4k1kBzrukUIdmAVDAntA9O0BYQBCXmIPiLWu2hDzMsQhGDJhGi7TcInsYBqutXgBSORmhuZliAEImTALJrOzYPx+P/x+f8zvEjnFLBhrXbUh5mWIAQiZZPMQjGEYXXafuvF8CzclU3lV7c0hvXAIxhqHYJxhAEJCNgcg5olhujQeyUzgUnVCLeklcv6Yn5UEMABhAOIMs2BIyOYsmESRuKrpq+wBIVm6yhgzL5PqNjpvR9U2BLCXBcO69wVmwZCQzT0gib7MdSxzPAxAyA1eXOnr1oYA7AFxikMwJGRzFkyiSFyHMjMAIS95caWfSVkwqvaiysYAhIRszoJJNBap6gz2ZMZPVc3oIb14ke2hWxsSDocRDocB6NOGyBb5++Xk5ETdul4mBiCScAimgy7dp+wBIVk4BBPL7kWMSmWWLd55JBMDEEkYgHTQpfFgFgzJwgAklo5tiGzxetJkYgAiiddZMCpVRGbBENknMwsmcjM9N7bhJh3nkckWby6RTAxAJPG6B0SlsVAdr14YgJAsMntAfD6fknOZdGxDZOMQDAnMgumgy9VLKgGIand1Jb3IzIIxb0eX+qhqL6psDEBI4ByQDrpcvaQSgHT+fSInZPaAmH9W6RzWsQ2RjQEICUzD7aBLCl0qabidf5/ILsMwpKbhmn9mG6I3BiAkeNEDYn52hEqNh45XL+aymCfmJcKuYEqVV89NYg9I5mMAQoIXWTDmn1WqiDqO35orr92b+LAhpFR5VVfsbEelc1jHeWSyRXqDmAVDomJ0fsKlm5NQzT+r1BWp49VLMlcPqu4L6cOrupJJbYiqFzGysQeEhHgnQzLDJjp3n+py9cIAhGTwqq4wCyazGYYhhvMYgFDCLzSnFV7nAIQ9IETxqdQDotI5rGMbIlMyWXxeYAAiSaLb4jrt8ows5/f7YyZIqth46DiDPZnbGKu6L6QPr+oKs2AyGwMQipKOHhA31uUFHa9e2ANCMqjWA6LKDfV0bENkYgBCUeLd3RBIPgCxWpfqM9h1Gb9NdIzjUXVfSB8qZcEA0WnBMuk4j0ymZO5j5AUGIJJ43QOiUlekjlcv7AEhGVTqAQHUaUd0bENkShSwycQARBIOwXTQpfFgAEIyyAhAzLcFcHs7btGxDZGJQzAUJdEXmtNhE50DEF26TxmAkAxep+Hm5ubG3GhPxfNYx2FcmRiAUJR0ZMEkWpdKT2TVcQY7s2BIBq+zYBK1IYA6X+g6tiEyMQChKF4PwThZX7rp1n1qDt7YA0Je8noIhm1IZmIAQoJhGJ5nwThZX7rp1n2a7AQuFfeF9OJ1FkyiIWE3tuMWHYdxZWIWDAmJnnBpfi8cDiMcDne5PrtXL6p0R+p29ZLs1YOK+0J6Ua0HhG2InpgFQ0JXX2hOKxC7T9OLAQjJoloAosp5rFsbIhuHYEjo6mRw0uXZ1UOGVKyMunWfMgAhWRLVlXQMwSQaEnZjO27RbRhXNgYgJHQ1Hueky9PJulSpjLrNYE92/FTFfSG9JDr3fD6f+LJlFgwsf2a968AAhAQ3h2DcHs7xgm7dp+wBIVns1m8OwcDyZ1XKKxsDEBK6mhCUbADCLJj0YBYMyWJ3uJZZMF9gABKLWTAksAdEr6sX9oCQLOwBsaZbGyJbxmTBNDQ0YPbs2RgxYgSmTJmCHTt2JFz+wIEDGD58OB577LGkC5lpZAUgqoyH6tZ4MAAhWezO8Url/OrqRntsQ/SXMUMwCxcuRGlpKTZs2IDZs2fjoYcewokTJ+Iu/+yzz+KCCy5IqZCZxs0sGN17QHToPmUAQrLYHa5N5fxyc0jYK7oN48qWEQFIY2MjtmzZgpkzZyI/Px8VFRUYPHgwtm7darn8m2++CcMwcOWVV7pS2EzBLBi9ZrAzC4ZksVu/Uzm/2IZkPlUDEEeDQfv27UMgEEC/fv3Ee0OGDMGePXtilm1ra8PixYvx9NNP47XXXku43tbWVrS2tkYXLDcXeXl5TooXJXIHUTt3EvVaS0uLeJ2bmxtTRnME39LSknAf3FqXl8fL/LfOycmJ2qb5UeCtra1K/P2sjrGd46Xivsiicn1UUeQ4JaorQHQPSLLH1s32yCtWxyVSLp/PB5/PJx55oUJ5ZTP/jTsfr3QcH7/fXt+GowCkqakJhYWFUe8VFhZaDsGsXLkSw4cPxznnnNPlepcvX45ly5ZFvTdt2jRMnz7dSfEs1dXVpbwOt5nL1NTUhNra2qjPm5ubo5YtLS2Nuy7z77a0tMSsq7GxUbzev39/zOeJypYup06dEq8PHjyIpqYmy89OnTrVZXm9sH//fvE6GAxGlSnR8Tp69Kh4feTIESX2RTYV66PKjhw5Il43NDTEPYdaW1uTPr/M22hvb49Zj7lOfv7550qcx8ePHxevDx06hKKiIvFzXV0dunXrhtbW1pj6mq0OHTokXp88edJ2G5asgQMH2lrOUQBSUFCAYDAY9V4wGEQgEIh679ChQ/jTn/6E3/zmN7bWW1VVhRkzZkQXzIUekLq6OvTv3992NOYV8x+/d+/eKC8vj/q8d+/e4nVpaWnM52bHjh0Tr3v16hWzrDl4sdpWhJfHy3xFNWjQoKjGwxww5ebmJtx3r+zatUu87tOnD8rLy20dL3PFDgQCSuyLLCrXRxVFjpe5bT377LNjzqGCggIAHYFDsueXuT727NkzZj1nnHGGeF1cXKzEeWz+bigvL4+pk5EAxOfzKVFe2Xr27Cle9+vXz3Yblm6OApABAwagsbERhw4dQt++fQEANTU1mDhxYtRy//znP1FfX4+bb74ZQMeXSjgcxueff46lS5fGrDcvLy+lYCMRv9+vXINnfhhdXl5eTPnMxyIUCiUsv5N1hcPhLo+FF8fLPB7ZvXv3qO117949ajkV/naJjnGi42Xel/b2diX2RTYV66PKzHMYOtcVIHoIJtnj2lUbYj6P7bQhXkh0XPx+vyvHJZN0dby0CEACgQAqKipQXV2NH/7wh3jnnXewe/duVFRURC33ta99DWvWrBE//+Y3v8GRI0fwwAMPuFNqzfE+IHrNYGcWDMlit35HxvST+SLJtDbE/J4q5ZVN1Umojs/WOXPm4PDhwxg9ejQWLVqEBQsWoLi4GOvWrRNzNvLy8tCnTx/xr6CgAN27d0evXr3cLr+Wupp1bv4SzuQsGJ/PF9Nguvl8C7cwC4ZkMZ83XaXIJnuOOdmGam0IkLgNZb3roGoA4viWaCUlJViyZEnM+5WVlaisrLT8nZkzZzovWQZjD0j8uy5G3m9vb1euvAB7QMhbTut3MkPZOrchAHtA7FA1AOHgmAQMQLoOQMzLycZnwZAsXtRvndsQgAGIHXwWDAl8GF3iAMStB2y5hT0gJIubd02WuQ23eXGH2EySMc+CodTxWTD69oAwACEvqdYDolobAjAAsYNDMCRwCIYBCJEdqgUgqpzHkXLk5ubC5/PFfK5aGyIbAxAS+DC6LxoPK6o1HgxASBYvHhSn88PouhrGbW9vF0/6zWYMQEjgw+g6ytxVD4gq3b1MwyVZ3Gwr3NiGbm0IEH2jtWzFAIQEDsHoOwTDLBjyEodgrNltQ8zLZjNmwZDALBhmwRDZ4eSmhdmYBdPVMK552WzGLBgS2AOibw+IkwDE/IwFVfaF9MIeEGvsAXGGQzAkZHMarmEYtsdvI8+3kC2VyqtaMEV6US0AUaENARiAOMUAhIRszoLp6rkTgHplZgBCskTOG6vnJgHMgulqGNe8bDZjAEJCNmfB2JkMpdoVVyoTuFTL6CG9OMn2YBbMF1RrQ2RjAEJCNs8BsVMRdCxzPOwBoVR4MdSgWxsCcAjGKWbBkJDNWTB2vsxVLrPTGeSqZfSQXrwYamAWTOZjFgwJ7AHpoMvVC3tASBb2gMQyT07XpQ2RLXIMcnJyLG9dLwsDEAmyOQuGAQiRfaoFIGxD9NTVeSQLAxAJ2APSQZfGgwEIyaJaAKLCeaxjGyIbAxASnNzdMJOzYOyM36pwxcUsGJIlct6ks650VSfN3faqtSF25saw7jEAIRP2gHTQ5eqFPSAkiwo9IOb3VTiPdWxDZOsqbVkWBiASMAumQzZlwYRCIT4WnBxTIQvGvB1d6iMDkGhdZQ3JwgBEAvaAdNDl6sWNHpDO6yGygz0gsXRsQ2TjEAwJzILpoEvjwQCEZHDy3CTAmwCEbYieGICQ4GUA4vP5kJOTY2tdXtCx8YiUwXws7VJtX0gfTh9bwB4QWL6vQpllYwBCgpdZMOb3VaiIOmfBJFN5VdsX0kcoFBKvZWbBmLejWhvCLBh7GICQEDkZ/H6/5RMu3Xwarvl9FRoPHa9eUqm8qu0L6cOrusI2JPMxC4aErmYk+3w+27PO7cwIV3UGu25ZMMnMIFdtX0gfTq/0mQXzBQYgXzAMQ/SmMQAhW1fUdq84ePWSfuwBIRk4B8Sajm2ITKncRiDdGIBIkI4AJN5wjnldKoyF6th4MAAhGVQcgmEbop9UsvjSjQGIBOkIQNxYlxd0bDwYgJAMqvaAyL6hno5tiEwMQCiKnQlBka4yu1kwugQgzIIhsseruuJ0O+bsHBmYBeMMAxCKwh6QDrpcvbAHhGRQsQckle24RbfyysYAhKIwAOmgS+PBLBiSQUYAEu9GeyrVSR3bEJlSeZp3ujEAkcDOF5rTACTRulRNodMtDZc9IOQlr+qK+fz2+Xxp245bmIbrDLNgKIqsHpBwOIxwOOyorG7T7erFMAwGICSF1z0gdtqQVLbjFt3aENk4BENRZAUggPwJWbo1HuYJdwxAyEuqBiBsQ/TCAIQEO0+4NH/mZhYMIL8yOm1UZTd2qY6fqrQvpBev6grbkMzGAIQEu1fUkbG6roZNdO4+1WH8NtXKq9K+kF6cpsem2gNiZ05aKttxi47zyGRiAEKC3ZPBboXXOQDRofs01QlcbAgpWaoOwcg+j3VrQ2RjFgwJdr/Q7FQg80OG7GTBJFqXV3S7emEPCMli59wzp82mMwBRtU7q0IsqG7NgSHCzB8Tt3hQv6Hb1wgCEZLFz5erkydnxsAcks3EIhgTZAYjsCVm6NR4MQEgWu13nqd5okFkwmY0BCAmyAxDZlVG3xoMBCMnitH6zBwSW78sur2wMQEiwe1Vj52FKTq+QAPmVUbeH0TENl2QxZ8zZmS+WahquLlkwfBidMwxASGAPiF5XL+wBIVm86AEJhUIwDMP2NpLdjpt0a0NkYxYMCW5mwdhdl6oz2HXLgmEaLnnJaW9pMueX3SBHpfOYWTDOMAuGBPaA6HX1wh4QksWLSahsQzIfh2BIkB2AyB4P1a3xYABCsngxBJOpbYjf74ff749ZPhsxACFBdgAiuzIyACGyhz0g1rzKDsoUDEBIYBYMs2CI7PAiC8ZOfTRvA1CrDbHThmZ7vWMAQgJ7QNgDQmSHqkMwss9j9oA4wywYEpgF03Xj4cbzLdzCLBiSxemVfldPzraSqVkwAAOQCGbBkMAekI7tmyeJdebG8y3cwh4QksWLIVad2xCAPSB2cAiGBAYgXd/22fy5KuUFGICQt7yo3zq3IQADEDsYgJAgOwCRPSGLAQiRPar2gKjShgAMQOxgAEICs2C6fu4EkNrMfjcxC4ZkSSZDxek5xiyYzMcAhATZPSCyGw/2gBDZo2oPiOzz2Lx984T1zlRpQ2RjFgwJzIKxF4CoOAmVWTDkpWR6S9MVgKh0Hke2n5ubC5/PF3c5BiAdmAVDAntA2ANCZAcnoVpz2oa0t7eLJ/5mo4wagmloaMDs2bMxYsQITJkyBTt27LBcbtGiRbjppptwzTXX4NZbb8W2bdtSLmwmYADCAITIDg7BWHPahgDZPQ8kowKQhQsXorS0FBs2bMDs2bPx0EMP4cSJEzHLBQIBLFmyBFu2bMEDDzyAuXPn4rPPPnOl0DqTHYDIrogMQIjsUTUA0a0NMf9ONlI5AHE0INTY2IgtW7ZgzZo1yM/PR0VFBQYPHoytW7di0qRJUcvOnDlTvB42bBgGDRqEXbt24eyzz45Zb2trK1pbW6MLlpuLvLw8J8WLErkjoNM7A6Zb5wlU8crX+W6gVssls67W1lbL5bw6XpHGq1u3bgm3Ze4+lfk3jHeM7R4v87GXvS8yqVofVRUOh6O+6BPVb/O4frz6HY+53c3NzU2pDfFKvDak8znW+bjk5+d7WEp1mP/GybRhyYh3k8nOHAUg+/btQyAQQL9+/cR7Q4YMwZ49exL+3smTJ1FTU4NBgwZZfr58+XIsW7Ys6r1p06Zh+vTpTopnqa6uLuV1uOnw4cPidUNDA2pray2Xa2hoiPodq+Xq6+vF6xMnTsRd17Fjx8TrI0eOxF0OSP/xinyhh8PhhOWIVIq2traEy6XbkSNHxOtjx47FlMXO8crJyUEoFMLp06el7osKVKuPKjMHIJ999hm6d+9uuVxTU5N4XVdXh9LSUtvb+Pzzz8XrkydPxj0/7bZbXmhubgbQccdkq3JEzjHzxcOePXtQUlLiTQEVc+rUKfG6vr4+JuBIR50cOHCgreUcBSBNTU0oLCyMeq+wsNByCCYiHA5j/vz5uO666+IWqqqqCjNmzIgumAs9IHV1dejfv7/taMwL5uN31llnoby83HK5s846K+p3rJbr0aOHeF1WVhZ3Xfv37xevA4GA5XJeHC/DMESjGm+fIiLHKRwOS/0bBgIB8frss88WZXZyvHJzcxEKheD3+xPucyZTtT6qqnMPyJAhQ+Iet969e4vXpaWljs6x4uJi8bpv375xf9d8Fd29e3ep53HkCzQ/Pz+qHJ3PsZ49e4rPysrKUFZW5nlZVWDuCTr33HPRp08fAGrUSUcBSEFBAYLBYNR7wWAwqpHu7IknnsDp06fx+OOPx10mLy8vpWAjkUTPHJHB3Kh07949btnMVzvt7e2Wy7m5roh0Hq/OY5GJtmMeqwyFQtLSx7o6xnaOV7du3dDS0oK2tjalzkUZVKuPKjM/NynR+W9uOyOBrl2hUEi8dqsNSTfzHBCrckTOsVSOSyZxow1LF0dbHTBgABobG3Ho0CHxXqKhlcWLF2PXrl149tln0xZg6Eb2JFSZk7GcTIbSsczxqDKhlvRinuuQCLNgrKlUZplUnoTqKAAJBAKoqKhAdXU1mpubsW3bNuzevRsVFRUxy77wwgvYvn07lixZEjNsk81kByAyZ7AzAMneRpCcUzUAYRaMXjImAAGAOXPm4PDhwxg9ejQWLVqEBQsWoLi4GOvWrYuaNPr8889j//79uPHGGzFy5EiMHDkS69atc7XwOkomtS5TngXj5JbAqjR4btzGWJXn2pBekglAUnkWjA5tCODNcckkKt8J1XFpSkpKsGTJkpj3KysrUVlZKX5+9913UytZhnLz1se6dZ86qQgqlpk9IOQlpw9uBFLrAdHhYXThcFhMQrX7OAcgu+ue+TxKdOt6GbJzVo5E2fwsGCdf5iqWOdmrB1Wea0N6sXuln03PgtHxIkY2u0NWMjAA8ZjsOSCqNB66jN+yB4Rk8WKuA9uQzGd+eJ9qGIB4jAFIB10aDwYgJItKk1BzcnJE970u9VGVNkQ29oCQIDsAYRaMMwxASBaVAhDz52xD9MIAhARmwXTQZQa7m1kw5gl0RF1RKQvG/DnbEL0wACGBWTAddJlA5mYPCJDdDSE5o1IWjHk7utRHVSbOymY3kJWBAYjHZAzBqFIRdew+dTMLpvP6iOIxPzdJtSEYVeqjLm2IbOwBIUFGGq7P5xOP09al8VDlSzuybfMxdIoNITnlZKjBizRc83ZUqI+APr2osjELhgQZPSDmz1VpPHS5enHj6kGVfSF9eFVX2IZkPvaAkBA5Gbp6AqH5apsBiPwyMwAhLzEAsaZjGyIbAxAS7J4MPp+vywrPFLr0YwBCMqgcgLAN0YeTW9fLwADEY05mJHdV4ZlCl35uzCBXZV9IH17VFbYhmc2N2wikEwMQjzm5ou5q0lfkffNdCuNRofHQcQIZe0BIBq/qCtNwM5sbtxFIJwYgHnMyI9nuEIyddak2g12XxsONGeSq7Avpw6u6ksx22tvbYRiGo+24RceLGJncuI1AOjEA8ZiTK2q7AYgb6/KCjuO37AEhGVSeAwLIG9LQsQ2RiT0gFIUBSAddGg8GICSD6gGIrPNYt/LKxgCEosgOQDiD3RkGICSD1wGInRvtsQdEPwxAKEo6smB06QHRcQY7s2BIBq+zYJy0IYC8dkTHNkQmZsFQlHRkwThpPGQ+kVW3CWSGYbAHhKTwOgvGyaT4ZLbjFh0nssvEHhCKIjsLJtH60k23xiMUConXzIIhL3mdBePkgiiZ7bhFt4sY2ZgFQ4KTJ1yal3GzByTR+tJNt/Fbt64eVNgX0ovXc0DYhmQm9oCQ4HQ8LrKMYRhRV+MRbDzSiwEIycIAxJpubYhsDEBIcHoydFWBkm08OIPdHgYgJIvqAQjbED0wACEh2R6Qzr8LOH/IkAqVUbcZ7G7NIFdhX0gvTs49c/oss2Bg+Xm21jtmwZDgNBpNNOkrlWBGhR4FHSaQsQeEZHFSV+w8Obur7TALJjOxB4QEpzOSE1V4p+tSoTLq1ni4NYNchX0hvSR7scIsmC+oEDDJxiwYEtycA+L2fBIv6DZ+yx4QkiXZ+s1JqLD8PFvrHXtASGAAolfjwQCEZPEiAHF6oz0VzmPd2hDZGICQwABEr8aDAQjJkuwcLyfnlzm1n21IZmIAQoKbWTBurssrus1gZxYMyZJs/XZyfrENyXwMQEhgD4heVy/sASFZvBiCyfQ2RIVJs7IxDZcENzNXdM+C6arMupU3ERX2hfSSbP1ONgDJxDbE7/fD7/fH/F42YRYMCewBYQ9ItjaE5Ax7QKx5lR2UKTgEQwIDEAYg2doQkjMMQKwxAHGGAQgJDEAYgGRrQ0jOMACxxgDEGQYgJDALxpvnW7iFWTAkSypPzo48Iypd2+j8u17yIjsokzAAIYE9IB3bzcnJgc/nS7hsKs+3cAt7QEgWL+q3zm0IwB4QO5gFQwKzYNpiypJIss+3cAuzYEgWL+q3zm0IkL7soEzCLBgS2ANi/7bP5uVkl9dclmSocOxJL+wBscYeEGc4BEMCAxAGINnaEJIzDECsMQBxhgEICQxAGIBka0NIzjAAsWbernmiejyy2xDZGICQoEoAImtGOAOQ7G0IyRnVAxAV2pCuJrJHljP/XrZhAEKCKmm4sipjpMxOAxBdUv7iUaHhJr14kSKbTW1IKBSCYRhpK5eqmAVDgtNo1G4WjC6Nh9MsGNlXL8yCIVmcnnup9oCkaxtuc9qLat6vbAz+2QNCgpsVXucUOqeNh+zyAhyCIW+5ebEicxtuS/Yixvy72YRpuCSoMgdEduPBOSBEiXkxPJJNbYj5d7MJe0BIYACSnQGIz+cTM/azsREk51SfhCq7TjIAsYcBCAmqBCAyxkINw0AoFIopSyKR5cy/6yU3K6/sYIr0onoAokIWjB0MQBiA0P+XzVkwyczGlt3guTmDXHZGD+klcp7YeW4SwCyYeGS3IbIxC4aEbM6CSWYylEplZg8IecmLyZbZlgWTjXWPPSAkZHMWTDIVQaUypzqDXHZGD+nFiy9aZsFkPmbBkKDKHBDZX+a6jN+yB4Rk8WKug25tiHm7urQhsjEAIYEBSGxZEtGxzPEwACEnGIDEMt/NVJc2RDZzj5GduUReYwDiIQYgsWVJRMcyx8MAhJxgABJLxzZENqfnkdcYgHhIlSwYXTJKdCxzPMyCISe8yPZgG5L5nJ5HXmMA4iH2gMSWJREdyxwPe0DICRV7QPx+P/x+v6NtuEnHNkQ29oCQ4Gbmis5ZMHYnQ+lY5niYBUNOOM32SDULxul2dKmPstsQ2ZyeR15zHIA0NDRg9uzZGDFiBKZMmYIdO3ZYLtfc3Iy5c+fimmuuwcSJE7F+/fqUC6s79oDEliURHcscT+T3w+EwwuFwSuuizKdiD4h5OV3qo+w2RDbVe0Ach0ULFy5EaWkpNmzYgLfffhsPPfQQVq1aheLi4qjlqqurcfz4caxduxZ79+7FrFmzcOGFF+Lcc891q+yObd++HW+88Ya07X/66afitdOg4ZNPPsHChQvFzzt37kx6XXv37o1aF9Bxu/OGhgaUlJSkZbb0/v37LcuSiHm5F198ERs2bHC9XIns2bPHsizJMP/+E088IZ4Nky3SfX5lmtbWVgDJ1ZXXX38djY2NXf6O+eLR6XYOHToU04akW0NDQ0w5umJe7ne/+x0+/PBD18ulshMnTgDIkACksbERW7ZswZo1a5Cfn4+KigoMHjwYW7duxaRJk6KWXbt2LRYuXIiioiJceumlqKiowOuvv46ZM2fGrLe1tVVUOFGw3Fzk5eUlsUsdIleZ5qvNDRs2YP78+Umv0005OTldXgmbv6Q++eQTzJkzJ+l1RcZuAaC2tjbuuryQm5trqxfA3G24dOnSdBapS52PsdX5lYi5AfjRj37kbuEoY9mtK+a24rXXXsNrr73maDt22hDgi/P4yJEjyrUhVnXS3Ib86le/8qZwCurWrZut4+UW8/dNIo4CkH379iEQCKBfv37ivSFDhkRdKQLAyZMncfToUQwZMiRquXjR5/Lly7Fs2bKo96ZNm4bp06c7KZ6luro68fr48eMpr88Nl156KQ4fPowjR44kXM4wDFxyySVRvR2dDR48GM3Nzaitre1yu1dddRXeeustx+V120UXXWSrvF/60pc8KE3XrrjiiqjzyCze+50NHToUmzZtcrNYlAUuu+wyW3XlnHPOQV5eXsyFnB1nnHEG8vPzbW3niiuucBzcpMMll1wSt7zmOnn++ed7VSSlXX755baOl1sGDhxoazlHAUhTUxMKCwuj3issLBTdPBGR7j/zsoWFhWhqarJcb1VVFWbMmBFdMBd6QOrq6tC/f38Rjd1111245pprkl6nG/Ly8nDttdeioKDA1vJvvfUWNm/ebNmw5ObmYtSoUSgqKrK1rk2bNmHz5s1obm6O+cwwDBw5cgR9+vRJaxf5eeedh4svvtjWslVVVbjiiivwf//3f2krT1fy8/MxatQo5OfnR71vdX4l8uSTT2LKlCmor69PV1GV5tX5lSkiT4CePHmyrQmE5eXl2LNnD95++21H2/H7/bjmmmvQq1cvW8uvWrUKW7ZswenTpx1tx00DBgzAV7/61Zj3repkeXk5Pvnkk4QXcZmuuLgY11xzTcywr9M2LB0cBSAFBQUIBoNR7wWDQQQCgaj3Ij8Hg0Hx5RgMBuN+6ebl5aUUbCRiTh276KKLcNFFF6VlO+lSWFiIG264wZV1FRQUYMKECZafhcNh1NbWory8XNrJaOXSSy/FpZdeKrsYcZnPr64MHz48zaVRl6rnl6oixys3N9f28Tr77LMxZcqUtJYrLy8PY8eOTes2UtW5Tp5//vnsCUnASRvm+radLDxgwAA0Njbi0KFD4r2amhoMGjQoarmePXuitLQUu3fvjlpu8ODBKRaXiIiIMoGjACQQCKCiogLV1dVobm7Gtm3bsHv3blRUVMQsO2HCBLz44osIBoPYuXMntm7dinHjxrlWcCIiItKX436XOXPm4PDhwxg9ejQWLVqEBQsWoLi4GOvWrYuaNDpz5kz07NkT48ePx4MPPoj/+I//kJqCS0REROpwfB+QkpISLFmyJOb9yspKVFZWip/z8/Px05/+NLXSERERUUbibDAiIiLyHAMQIiIi8hwDECIiIvIcAxAiIiLyHAMQIiIi8hwDECIiIvIcAxAiIiLyHAMQIiIi8hwDECIiIvIcAxAiIiLynM8wDEN2IYiIiCi7sAeEiIiIPMcAhIiIiDzHAISIiIg8xwCEiIiIPMcAhIiIiDzHAISIiIg8xwCEiIiIPMcAhIiIiDzHAISIiIg8xwCEiIiIPKdcAPL+++/jjjvuQEVFBUaPHo27774bn332mavbaG5uxty5c3HNNddg4sSJWL9+vfjs6NGjuO+++zBmzBgMGzbM1e2m28svv4wZM2bgyiuvRHV1tXh/+/btuPPOO1FRUYHx48fj2WefRXt7e9z17N+/H3feeSeGDx+OGTNm4NNPPxWfhcNhPPPMMxg1ahTGjh2LlStXpnWf3Cb7/HL6t1ANz7GuyT7HPvroI9x6660YNWoUxowZg3nz5qGxsdHV7acLz6+uyT6/zGbNmoUrr7wy+Q0ZCjl16pQxatQoY+PGjUYoFDKCwaCxadMm4/PPP3d1O88995xxzz33GKdOnTI+/PBDY9SoUcbevXsNwzCMY8eOGX/4wx+MN954w7j88std3W66bd682diyZYsxZ84c4/nnnxfvr1u3znjzzTeNpqYm49ixY8a3v/1t45e//GXc9Xzzm980nn/+eaO5udn4wx/+YEyaNMloa2szDMMwfv/73xv//u//bhw9etSora01xo8fb7z99ttp3zc3qHB+Of1bqIbnWGIqnGMNDQ1GfX29YRiG0dTUZDzyyCPGc8895+r204XnV2IqnF8RmzdvNu68807jiiuuSHo7SvWA1NbWIi8vD9dddx38fj8CgQCuvfZalJWVIRQKobq6GjfccAPGjh2LRYsWiQi4uroaDz/8MO6//35cc801+M53voMDBw7E3c7atWvx7W9/G0VFRbj00ktRUVGB119/HQBQUlKCqVOn4vzzz/dkn900atQoVFRUoEePHlHvjx8/HldddRXy8/NRUlKCCRMm4KOPPrJcx7/+9S/s3bsXVVVV6N69O6ZOnYpwOIy///3vADqO3W233YbevXtjwIABmDx5Ml577bV075orVDi/nPwtVMRzLDEVzrFevXqhb9++AADDMOD3+7F///7077wLeH4lpsL5BQAtLS1YunQp7r333pT2R6kApLy8HG1tbXjsscfw1ltv4fTp0+KzlStX4oMPPsBLL72EV155Bbt27cIrr7wiPt+0aRMmT56MjRs34pJLLsG8efMst3Hy5EkcPXoUQ4YMEe8NGTIENTU16dsxxXzwwQcYNGiQ+Pn73/8+VqxYAQDYu3cvBgwYgLy8PPG5+fjs2bMH5513XtRne/bs8abgKVLx/Or8t8gUPMfknmMHDx7EqFGjMHLkSGzatAnTp09Pw97Kw/NL7vm1YsUKjB07VgS6yVIqACkqKsIvfvELtLa2Yt68eRgzZgzmzp2LYDCINWvW4Lvf/S5KSkrQo0cP3Hbbbdi4caP43S9/+csYOXIkunXrhpkzZ+Kjjz7C4cOHY7YRGQstLCwU7xUWFqKpqSn9O6iAjRs3YseOHZgxY4Z477nnnsMdd9wBoOP4mI8NEH18mpqaYo6dLuPLqp1fVn+LTMBzTP45VlZWhi1btuB//ud/cMcdd6CsrCyNe+0tnl9yz68DBw5gw4YN+OY3v5ny/uSmvAaXDRkyBI899hgA4OOPP8acOXPw4osv4uDBg5g1axZ8Ph+Ajq5Fc/TVr18/8To/Px/FxcU4cuQIXn31VSxfvhwAUFVVhalTpwIAgsEgioqKxOuCggJP9k+md999F0888QQWL16M3r17Wy4TCAQQDAaj3jMfn4KCgqjPg8EgAoFA+grtMlXOLzt/Cx3xHFPnHAOA3r1742tf+xp+9KMf4de//nV6dthDPL/kn1/PPvss7r77bnTv3j3lfVEuADH70pe+hGuvvRY1NTXo27cvHn/8cVx44YWWy9bX14vXzc3NOHHiBPr06YM777wTd955Z9SypaWl2L17N4YOHQoAqKmpweDBg9O2HyrYuXMn5syZgyeeeAIXXXRR3OUGDhyIuro6tLa2ii7MmpoacbUxaNAg7N69W3Rh1tTUaDuEIOv8svu30A3PsVgqtGGhUEibOSCJ8PyKJeP8eu+99/DRRx/hySefRCgUQigUwrhx47B06VLH36NKDcH861//wsqVK0W3UG1tLf7617/i4osvxqRJk7B06VIcOXIEhmHgwIEDeO+998Tvfvjhh9i+fTva2tqwbNkyXHzxxTjjjDMstzNhwgS8+OKLCAaD2LlzJ7Zu3Ypx48aJz1taWtDW1iZet7a2pnGv3dPe3o6WlhaEw2GEQiG0tLQgFAph9+7duO+++zB37twuU4vPPfdcnHvuuVixYgVaW1uxatUq+Hw+cSJWVlbipZdeQkNDA+rq6rB69WpMnDjRg71LnQrnl5O/hYp4jiWmwjm2bds2/Otf/4JhGDh8+DCWLl2qzbnG8ysxFc6vV155BStXrsTKlSuxePFi5OTkYOXKlSgvL3e8Pz7DMIwkjkNaHDp0CM888wz+/ve/IxgMori4GKNHj8a9994Ln8+HFStW4NVXX8Xx48dRVlaG22+/HRMmTEB1dTVqa2vR0tKCHTt24Pzzz8dPfvITnH322ZbbaW5uxk9/+lNs3boVPXv2xL333ovx48eLzzuf4GeeeSZeffXVtO67G6qrq7Fs2bKo9+bNm4f3338fr732WlSX2WWXXYYlS5YA6MjlHjp0qIiC6+rqMG/ePHzyyScoLy/HvHnzcMEFFwDoyKFftGgRXn31VXTr1g233347brvtNo/2MDUqnF/z589P+LdQHc+xxFQ4x1avXo3ly5fj6NGjKCoqwte+9jXMmjULvXr18vBIJIfnV2IqnF9mBw4cwM0334y33347qf1RKgBJVnV1NQ4dOoS5c+fKLgplIJ5flG48xyidVD2/lBqCISIiouzAAISIiIg8lxFDMERERKQX9oAQERGR5xiAEBERkecYgBAREZHnGIAQERGR5xiAEBER2dDa2or58+dj4sSJqKiowB133IEPP/xQfL5ixQpcf/31uO6667B48WKYczwWLFiAyZMnY9iwYXj33Xej1ltdXY0rr7wSI0eOFP8S2bx5M2699VZUVFRgzJgxmDVrVszzb9zQ0NCA2bNnY8SIEZgyZQp27NgRs0x7eztuueUWTJ482fH6lX4WDBHp491338Xdd98NAPjTn/6Es846S3KJiNwVCoVw1lln4Ze//CX69u2Lv/zlL7jvvvvw6quv4v3338cf/vAHrFixAvn5+fje976H8vJy8cV8/vnnY+zYseJBcp3dcMMNtm4Utm/fPvzkJz/Bs88+i6FDh+L06dP461//6uZuCgsXLkRpaSk2bNiAt99+Gw899BBWrVqF4uJisczvf/97FBUVoaWlxfH62QNCRI49+uijGDZsGO666y7xXlFRES655BJccskl4iFgRJmkoKAA3/nOd1BWVga/349x48ahW7duqK2txdq1a3HzzTfjnHPOQZ8+fXDbbbdh7dq14nenTp2KYcOGITc3tev+Tz/9FOXl5bjsssvg8/nQo0cPTJw4EYWFhQA6bqO+cOFCjB8/HhMmTMCKFSvE7z766KN48skncdddd6GiogL33XcfTpw4YbmdxsZGbNmyBTNnzkR+fj4qKiowePBgbN26VSxz9OhR/PGPf0RVVVVS+8IAhIhcceGFF2LFihVYsWIF+vTpI7s4RGm3b98+nDx5Ev3798fevXvFE3YBYMiQIaipqbG9ro0bN2L06NH4xje+gU2bNsVd7sILL8Snn36KxYsX4/3330dzc3PU54sXL8bJkyexatUq/OpXv8LatWuxbds28fnatWsxa9YsvP766wgEAnj66afj7lsgEEC/fv2i9mnPnj3i55/97GeoqqpCfn6+7f00YwBCRI7ceOON+POf/wwAeP/99zFs2DAxrh15feDAAQBf9JREficydv7MM8+gubkZzzzzDCoqKjBx4kS8/PLLUds5fPgw5s+fj/Hjx+Oqq67CTTfdhBdeeAHt7e2e7zNRZ83NzZg7dy7uuOMOFBUVobGxUfRCAEBhYSGamppsrWvMmDF4+eWX8frrr+Pee+/F/PnzsXPnTstlzznnHCxduhT79+/HAw88gOuvvx5PPfUU2tvbYRgG/vSnP+H73/8+AoEAzjjjDHz961/Hxo0bxe+PGjUKl1xyCfLz83H33Xdj48aNsLofaVNTU9T+RPapsbERQMfTdfft24fKykpb+2iFc0CIyJELLrgATU1NOH78OAoLCzFw4EAAwK5du+L+zpEjR/DEE0+gT58+CAaD+O///m+89dZbOHToEIqKilBfX48nn3wSl19+OQYOHIjjx4/jjjvuQH19vdjGnj178Pzzz+Ozzz7DvHnzvNpdohjt7e2YM2cO+vfvj+985zsAgEAgEDURNBgMoqCgwNb6Bg0aJF5fffXVGDduHLZu3YpLLrkEs2bNwgcffAAAWLJkCS677DIMHToUQ4cOhWEYePfdd/Hggw9i4MCBuO6669DS0oJp06aJ9RmGga985SviZ3OPRr9+/dDa2ooTJ05g6dKlWLduHQDg4YcfxsCBA2MmtgaDQQQCAYTDYTz99NN48MEH4fP57B62GAxAiMiRp59+Go8++ij+/Oc/44ILLsAvfvELAIiZ2W/W1taG//zP/8SXv/xl3Hjjjaivr0ddXR1WrVqFXr16YcyYMWhpacF7772HgQMH4ve//z3q6+tRWlqK3/72tygpKcGWLVvwwAMP4M9//jPuvPNO9O/f36tdJhLC4TDmzp0Ln8+HRx99VHwBDxw4ELt370ZFRQUAoKamBoMHD05qG37/F4MTS5Ysibucz+fDv/3bv2HYsGGoqanBlClTkJeXhzVr1kRNFDWrr6+Pep2Xl4fi4mI8/PDDePjhh8VnjY2NaGxsxKFDh9C3b1+xTxMnTkQwGMSuXbvwgx/8AEBH/Q4Ggxg3bhxeeeUVFBUV2dtPW0sREaWgZ8+eGDp0KPx+P8rKygAAgwcPxllnnYVAIICSkhIAwLFjxwAA//jHPwB0THIbM2YMhg0bhgceeABAxxVdvO5ponRbsGABjh49iieeeCJqQumECROwatUq7N+/H0ePHsXKlSsxYcIE8XlbWxtaWlpgGAba29vFawDYunUrTp8+jXA4jHfeeQfr1q3DiBEjLLf/97//HWvWrMHx48cBAB9//DE++OADXHzxxfD7/Zg4cSKee+45nDp1CuFwGHv37o2qL1u3bsU//vEPNDc34xe/+AVGjx5t2YsRCARQUVGB6upqNDc3Y9u2bSLAKioqwtq1a7Fy5UqsXLkSjzzyCPr164eVK1fGDNskwh4QIko7c6OUk5MT816kAew8Fm0e4jFLdtIbUSo+//xzrF69Gt27d8f1118v3l+yZAlGjBiBqVOn4vbbb0c4HMbkyZNx0003iWW+973v4f333wcA3HPPPQC+SFdfv349Hn30UZHm+6Mf/Shq2MSsqKgImzZtws9+9jO0tLSgtLQUt956K2644QYAwP3334+f//znuPXWWxEMBjFgwAB897vfFb8/fvx4LF68GJ988gmGDh2K+fPnx93fOXPmYN68eRg9ejT69euHBQsWiJ4V80Tznj17wu/3O558zgCEiByLBACdZ+C75aKLLsIbb7yBnJwcLFiwQNxTJBgMYvPmzbj22mvTsl2iRM4888yEQ41VVVVxU1IjQ5VWHn/8cdtlGDJkCBYvXhz38/z8fNx///24//77LT8vLS3Fgw8+aGtbJSUlCYeAIoYNG4bVq1fbWqcZAxAicuzcc88FAPzzn//ELbfcIu6P4Jbp06djzZo1OHToEL7+9a+LCXH19fVob28XV3tEpC/OASEixyZNmoTrrrsORUVFqKmpwc6dOxEOh11bf0lJCZYvX44bb7wRxcXFqKmpQUtLCy677DIx8Y2I9OYzrBKAiYiIiNKIPSBERETkOQYgRERE5DkGIEREROQ5BiBERETkOQYgRERE5DkGIEREROQ5BiBERETkOQYgRERE5DkGIEREROQ5BiBERETkOQYgRERE5Ln/B/8JFF3CGLt1AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "detector = common.MissingDataDetector()\n",
    "\n",
    "detector.detect(ts_w_nans[:72]).plot();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b6b18712-527c-4255-b287-cd67b38f25c9",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.10"
  },
  "papermill": {
   "default_parameters": {},
   "duration": 7.926235,
   "end_time": "2024-01-31T17:49:37.482754",
   "environment_variables": {},
   "exception": null,
   "input_path": "docs/user_guide/2_context/2.0-context-common.ipynb",
   "output_path": "docs/user_guide/2_context/2.0-context-common.ipynb",
   "parameters": {},
   "start_time": "2024-01-31T17:49:29.556519",
   "version": "2.5.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}