plots_WIP.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7\n"
     ]
    }
   ],
   "source": [
    "from fastapi import FastAPI, HTTPException\n",
    "from fastapi.middleware.cors import CORSMiddleware\n",
    "from pydantic import BaseModel\n",
    "import dotenv\n",
    "import pendulum\n",
    "from sqlalchemy import create_engine, asc, desc, or_\n",
    "from sqlalchemy.orm import sessionmaker\n",
    "from fake_config import Settings\n",
    "from fake_models import MessageSql\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import matplotlib.dates as mdates\n",
    "from datetime import timedelta\n",
    "import numpy as np\n",
    "import plotly.express as px\n",
    "import plotly.graph_objects as go\n",
    "\n",
    "settings = Settings(_env_file=dotenv.find_dotenv())\n",
    "valid_password = settings.visualizer_api_password.get_secret_value()\n",
    "engine = create_engine(settings.db_url.get_secret_value())\n",
    "Session = sessionmaker(bind=engine)\n",
    "\n",
    "session = Session()\n",
    "timezone = \"America/New_York\"\n",
    "start = pendulum.datetime(2024, 12, 9, 0, 0, tz=timezone)\n",
    "end = pendulum.datetime(2024, 12, 9, 15, 30, tz=timezone)\n",
    "start_ms = int(start.timestamp() * 1000)\n",
    "end_ms = int(end.timestamp() * 1000)\n",
    "\n",
    "# messages = session.query(MessageSql).filter(\n",
    "#     MessageSql.from_alias.like(f'%oak%'),\n",
    "#     or_(\n",
    "#         MessageSql.message_type_name == \"batched.readings\",\n",
    "#         MessageSql.message_type_name == \"report\"\n",
    "#         ),\n",
    "#     # MessageSql.message_id == \"27dc4a88-d5da-4731-92a9-4868c2a3885b\",\n",
    "#     MessageSql.message_persisted_ms >= start_ms,\n",
    "#     MessageSql.message_persisted_ms <= end_ms,\n",
    "# ).order_by(asc(MessageSql.message_persisted_ms)).all()\n",
    "\n",
    "# snapshots = session.query(MessageSql).filter(\n",
    "#     MessageSql.from_alias.like(f'%oak%'),\n",
    "#     MessageSql.message_type_name == \"snapshot.spaceheat\",\n",
    "#     MessageSql.message_persisted_ms >= start_ms,\n",
    "#     MessageSql.message_persisted_ms <= end_ms,\n",
    "# ).order_by(asc(MessageSql.message_persisted_ms)).all()\n",
    "\n",
    "snapshots = session.query(MessageSql).filter(MessageSql.message_type_name == \"flo.params.house0\").all()\n",
    "\n",
    "# print(len(messages))\n",
    "print(len(snapshots))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "alpha = 12.0\n",
      "beta = -0.22\n",
      "no_power_rswt = 54.55\n",
      "intermediate_rswt = 110\n",
      "dd_rswt = 160\n",
      "intermediate_power = 1.5\n",
      "dd_power = 12.0\n",
      "dd_delta_t = 20\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "snap = snapshots[0]\n",
    "\n",
    "alpha = snap.payload['AlphaTimes10'] / 10\n",
    "beta = snap.payload['BetaTimes100'] / 100\n",
    "no_power_rswt = round(-alpha/beta,2)\n",
    "intermediate_rswt = snap.payload['IntermediateRswtF']\n",
    "dd_rswt = snap.payload['DdRswtF']\n",
    "intermediate_power = snap.payload['IntermediatePowerKw']\n",
    "dd_power = snap.payload['DdPowerKw']\n",
    "dd_delta_t = snap.payload['DdDeltaTF']\n",
    "print(\"alpha =\", alpha)\n",
    "print(\"beta =\", beta)\n",
    "print(\"no_power_rswt =\", no_power_rswt)\n",
    "print(\"intermediate_rswt =\", intermediate_rswt)\n",
    "print(\"dd_rswt =\", dd_rswt)\n",
    "print(\"intermediate_power =\", intermediate_power)\n",
    "print(\"dd_power =\", dd_power)\n",
    "print(\"dd_delta_t =\", dd_delta_t)\n",
    "\n",
    "x_rswt = np.array([no_power_rswt, intermediate_rswt, dd_rswt])\n",
    "y_hpower = np.array([0, intermediate_power, dd_power])\n",
    "A = np.vstack([x_rswt**2, x_rswt, np.ones_like(x_rswt)]).T\n",
    "quadratic_coefficients = [float(x) for x in np.linalg.solve(A, y_hpower)]\n",
    "\n",
    "r0, r1 = [], []\n",
    "r00, r11 = [], []\n",
    "for rwt in range(100,190):\n",
    "    a, b, c = quadratic_coefficients\n",
    "    aa = -dd_delta_t/dd_power * a\n",
    "    bb = 1-dd_delta_t/dd_power * b\n",
    "    cc = -dd_delta_t/dd_power * c\n",
    "    delta_t_inverse = (-bb/(2*aa) - ((rwt-bb**2/(4*aa)+bb**2/(2*aa)-cc)/aa)**0.5 - rwt)\n",
    "    if isinstance(delta_t_inverse, (float,int)):\n",
    "        r0.append(rwt)\n",
    "        r1.append(delta_t_inverse)\n",
    "    else:\n",
    "        r00.append(rwt)\n",
    "        r11.append(r1[-1])\n",
    "\n",
    "plt.plot(r0,r1)\n",
    "plt.plot(r00,r11)\n",
    "plt.xlabel('Return Water Temperature [F]')\n",
    "plt.ylabel('Inverse Delta T [F]')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def delivered_heating_power(swt):\n",
    "    a, b, c = quadratic_coefficients\n",
    "    d = a*swt**2 + b*swt + c\n",
    "    return d if d>0 else 0\n",
    "\n",
    "swts = range(80,190)\n",
    "hps = [delivered_heating_power(x) for x in swts]\n",
    "plt.plot(swts, hps)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "channels = {}\n",
    "for message in messages:\n",
    "    for channel in message.payload['ChannelReadingList']:\n",
    "        # Find the channel name\n",
    "        if message.message_type_name == 'report':\n",
    "            channel_name = channel['ChannelName']\n",
    "        elif message.message_type_name == 'batched.readings':\n",
    "            for dc in message.payload['DataChannelList']:\n",
    "                if dc['Id'] == channel['ChannelId']:\n",
    "                    channel_name = dc['Name']\n",
    "        # Store the values and times for the channel\n",
    "        if channel_name not in channels:\n",
    "            channels[channel_name] = {\n",
    "                'values': channel['ValueList'],\n",
    "                'times': channel['ScadaReadTimeUnixMsList']\n",
    "            }\n",
    "        else:\n",
    "            channels[channel_name]['values'].extend(channel['ValueList'])\n",
    "            channels[channel_name]['times'].extend(channel['ScadaReadTimeUnixMsList'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for snapshot in snapshots[:2]:\n",
    "    for snap in snapshot.payload['LatestReadingList']:\n",
    "        if snap['ChannelName'] in channels:\n",
    "            print(snap)\n",
    "            channels[snap['ChannelName']]['times'].append(snap['Value'])\n",
    "            channels[snap['ChannelName']]['values'].append(snap['ChannelName'])\n",
    "            print(snap['ChannelName'])            \n",
    "            print(snap['Value'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "530\n",
      "530\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# channels['dist-flow']['times'] = [pendulum.from_timestamp(x/1000, tz='America/New_York') for x in channels['dist-flow']['times']]\n",
    "print(len(channels['dist-flow']['times']))\n",
    "print(len(channels['dist-flow']['values']))\n",
    "plt.plot(channels['dist-flow']['times'], channels['dist-flow']['values'], '-x')\n",
    "plt.plot(channels['dist-flow']['times'][100:750],channels['dist-flow']['values'][100:750], '-x')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0, 0, 221, 221, 361]\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "times = [x-channels['dist-flow']['times'][100] for x in channels['dist-flow']['times']]\n",
    "print(channels['dist-flow']['values'][100:105])\n",
    "plt.plot(times[100:105], channels['dist-flow']['values'][100:105], '-x')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# data_channels = session.query(DataChannelSql).filter(\n",
    "#     MessageSql.from_alias.like(f'%fir%'),\n",
    "#     or_(\n",
    "#         MessageSql.message_type_name == \"batched.readings\",\n",
    "#         MessageSql.message_type_name == \"report\"\n",
    "#         ),\n",
    "#     MessageSql.message_persisted_ms >= start_ms,\n",
    "#     MessageSql.message_persisted_ms <= end_ms,\n",
    "# ).order_by(asc(MessageSql.message_persisted_ms)).all()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# readings = session.query(ReadingSql).filter(\n",
    "#     MessageSql.from_alias.like(f'%fir%'),\n",
    "#     or_(\n",
    "#         MessageSql.message_type_name == \"batched.readings\",\n",
    "#         MessageSql.message_type_name == \"report\"\n",
    "#         ),\n",
    "#     MessageSql.message_persisted_ms >= start_ms,\n",
    "#     MessageSql.message_persisted_ms <= end_ms,\n",
    "# ).order_by(asc(MessageSql.message_persisted_ms)).all()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def to_fahrenheit(t):\n",
    "    return t*9/5+32"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "gradient = plt.get_cmap('coolwarm', 4)\n",
    "buffer_colors = {\n",
    "    'buffer-depth1': gradient(3),\n",
    "    'buffer-depth2': gradient(2),\n",
    "    'buffer-depth3': gradient(1),\n",
    "    'buffer-depth4': gradient(0)\n",
    "    }\n",
    "\n",
    "gradient = plt.get_cmap('coolwarm', 12)\n",
    "storage_colors = {\n",
    "    'tank1-depth1': gradient(11),\n",
    "    'tank1-depth2': gradient(10),\n",
    "    'tank1-depth3': gradient(9),\n",
    "    'tank1-depth4': gradient(8),\n",
    "    'tank2-depth1': gradient(7),\n",
    "    'tank2-depth2': gradient(6),\n",
    "    'tank2-depth3': gradient(5),\n",
    "    'tank2-depth4': gradient(4),\n",
    "    'tank3-depth1': gradient(3),\n",
    "    'tank3-depth2': gradient(2),\n",
    "    'tank3-depth3': gradient(1),\n",
    "    'tank3-depth4': gradient(0),\n",
    "    }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "selected_plot_keys = [\n",
    "    'hp-lwt', 'hp-ewt', 'hp-odu-pwr', 'hp-idu-pwr', 'primary-pump-pwr', \n",
    "    'dist-swt', 'dist-rwt', 'zone_heat_calls',\n",
    "    'store-hot-pipe', 'store-cold-pipe', 'store-pump-pwr',\n",
    "    'buffer-cold-pipe', 'buffer-hot-pipe', 'dist-pump-pwr', 'buffer-depths', 'storage-depths']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "channels = {}\n",
    "for message in messages:\n",
    "    for channel in message.payload['ChannelReadingList']:\n",
    "        # Find the channel name\n",
    "        if message.message_type_name == 'report':\n",
    "            channel_name = channel['ChannelName']\n",
    "        elif message.message_type_name == 'batched.readings':\n",
    "            for dc in message.payload['DataChannelList']:\n",
    "                if dc['Id'] == channel['ChannelId']:\n",
    "                    channel_name = dc['Name']\n",
    "        # Store the values and times for the channel\n",
    "        if channel_name not in channels:\n",
    "            channels[channel_name] = {\n",
    "                'values': channel['ValueList'],\n",
    "                'times': channel['ScadaReadTimeUnixMsList']\n",
    "            }\n",
    "        else:\n",
    "            channels[channel_name]['values'].extend(channel['ValueList'])\n",
    "            channels[channel_name]['times'].extend(channel['ScadaReadTimeUnixMsList'])\n",
    "\n",
    "# Sort values according to time\n",
    "for key in channels.keys():\n",
    "    sorted_times_values = sorted(zip(channels[key]['times'], channels[key]['values']))\n",
    "    sorted_times, sorted_values = zip(*sorted_times_values)\n",
    "    channels[key]['values'] = list(sorted_values)\n",
    "    channels[key]['times'] = pd.to_datetime(list(sorted_times), unit='ms', utc=True)\n",
    "    channels[key]['times'] = channels[key]['times'].tz_convert('America/New_York')\n",
    "    channels[key]['times'] = [x.replace(tzinfo=None) for x in channels[key]['times']]\n",
    "\n",
    "    # Check the length\n",
    "    if len(channels[key]['times']) != len(channels[key]['values']):\n",
    "        print(f\"Length mismatch in channel: {key}\")\n",
    "        selected_plot_keys.remove(key)\n",
    "            \n",
    "# Find all zone channels\n",
    "zones = {}\n",
    "first_times, process_heatcalls = None, False\n",
    "for channel_name in channels.keys():\n",
    "    if 'zone' in channel_name and 'gw-temp' not in channel_name:\n",
    "        if 'state' not in channel_name:\n",
    "            channels[channel_name]['values'] = [x/1000 for x in channels[channel_name]['values']]\n",
    "        else:\n",
    "            # Round times to the minute\n",
    "            channels[channel_name]['times'] = pd.Series(channels[channel_name]['times']).dt.round('s').tolist()\n",
    "            if first_times is None:\n",
    "                first_times = channels[channel_name]['times']\n",
    "            if channels[channel_name]['times'] != first_times:\n",
    "                process_heatcalls = True\n",
    "        zone_name = channel_name.split('-')[0]\n",
    "        if zone_name not in zones:\n",
    "            zones[zone_name] = [channel_name]\n",
    "        else:\n",
    "            zones[zone_name].append(channel_name)\n",
    "\n",
    "if process_heatcalls:\n",
    "\n",
    "    def interpolate_value(state, given_time, channels_copy):\n",
    "        prev_time = None\n",
    "        next_time = None\n",
    "        for existing_time in channels_copy[state]['times']:\n",
    "            if existing_time < given_time:\n",
    "                prev_time = channels_copy[state]['times'].index(existing_time)\n",
    "            elif existing_time > given_time and next_time is None:\n",
    "                next_time = channels_copy[state]['times'].index(existing_time)\n",
    "        if prev_time is None or next_time is None:\n",
    "            return 0\n",
    "        if channels_copy[state]['values'][prev_time]==1 and channels_copy[state]['values'][next_time]==1:\n",
    "            return 1\n",
    "        else:\n",
    "            return 0\n",
    "\n",
    "    # Get all timestamps in the zone states\n",
    "    all_times = []\n",
    "    for zone in zones:\n",
    "        for state in [x for x in zones[zone] if 'state' in x]:\n",
    "            all_times.extend(channels[state]['times'])\n",
    "    all_times = sorted(list(set(all_times)))\n",
    "\n",
    "    # Fill in the blanks\n",
    "    channels_copy = channels.copy()\n",
    "    for zone in zones:\n",
    "        for state in [x for x in zones[zone] if 'state' in x]:\n",
    "            if channels[state]['times'] != all_times:\n",
    "                values_to_insert = []\n",
    "                times_to_insert = []\n",
    "                # Add missing times\n",
    "                for time in all_times:\n",
    "                    if time not in channels[state]['times']:\n",
    "                        values_to_insert.append(0)#interpolate_value(state, time, channels_copy))\n",
    "                        times_to_insert.append(time)\n",
    "                channels[state]['times'].extend(times_to_insert)\n",
    "                channels[state]['values'].extend(values_to_insert)\n",
    "                # Sort by time again\n",
    "                sorted_times_values = sorted(zip(channels[state]['times'], channels[state]['values']))\n",
    "                sorted_times, sorted_values = zip(*sorted_times_values)\n",
    "                channels[state]['values'] = list(sorted_values)\n",
    "                channels[state]['times'] = list(sorted_times)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x2200 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "channels = {}\n",
    "for message in messages:\n",
    "    for channel in message.payload['ChannelReadingList']:\n",
    "        # Find the channel name\n",
    "        if message.message_type_name == 'report':\n",
    "            channel_name = channel['ChannelName']\n",
    "        elif message.message_type_name == 'batched.readings':\n",
    "            for dc in message.payload['DataChannelList']:\n",
    "                if dc['Id'] == channel['ChannelId']:\n",
    "                    channel_name = dc['Name']\n",
    "        # Store the values and times for the channel\n",
    "        if channel_name not in channels:\n",
    "            channels[channel_name] = {\n",
    "                'values': channel['ValueList'],\n",
    "                'times': channel['ScadaReadTimeUnixMsList']\n",
    "            }\n",
    "        else:\n",
    "            channels[channel_name]['values'].extend(channel['ValueList'])\n",
    "            channels[channel_name]['times'].extend(channel['ScadaReadTimeUnixMsList'])\n",
    "\n",
    "# Sort values according to time\n",
    "for key in channels.keys():\n",
    "    sorted_times_values = sorted(zip(channels[key]['times'], channels[key]['values']))\n",
    "    sorted_times, sorted_values = zip(*sorted_times_values)\n",
    "    channels[key]['values'] = list(sorted_values)\n",
    "    channels[key]['times'] = pd.to_datetime(list(sorted_times), unit='ms', utc=True)\n",
    "    channels[key]['times'] = channels[key]['times'].tz_convert('America/New_York')\n",
    "    channels[key]['times'] = [x.replace(tzinfo=None) for x in channels[key]['times']]\n",
    "\n",
    "    # Check the length\n",
    "    if len(channels[key]['times']) != len(channels[key]['values']):\n",
    "        print(f\"Length mismatch in channel: {key}\")\n",
    "        selected_plot_keys.remove(key)\n",
    "            \n",
    "# Find all zone channels\n",
    "zones = {}\n",
    "first_times, process_heatcalls = None, False\n",
    "for channel_name in channels.keys():\n",
    "    if 'zone' in channel_name and 'gw-temp' not in channel_name:\n",
    "        if 'state' not in channel_name:\n",
    "            channels[channel_name]['values'] = [x/1000 for x in channels[channel_name]['values']]\n",
    "        else:\n",
    "            # Round times to the minute\n",
    "            channels[channel_name]['times'] = pd.Series(channels[channel_name]['times']).dt.round('s').tolist()\n",
    "            if first_times is None:\n",
    "                first_times = channels[channel_name]['times']\n",
    "            if channels[channel_name]['times'] != first_times:\n",
    "                process_heatcalls = True\n",
    "        zone_name = channel_name.split('-')[0]\n",
    "        if zone_name not in zones:\n",
    "            zones[zone_name] = [channel_name]\n",
    "        else:\n",
    "            zones[zone_name].append(channel_name)\n",
    "\n",
    "if process_heatcalls:\n",
    "\n",
    "    def interpolate_value(state, given_time, channels_copy):\n",
    "        prev_time = None\n",
    "        next_time = None\n",
    "        for existing_time in channels_copy[state]['times']:\n",
    "            if existing_time < given_time:\n",
    "                prev_time = channels_copy[state]['times'].index(existing_time)\n",
    "            elif existing_time > given_time and next_time is None:\n",
    "                next_time = channels_copy[state]['times'].index(existing_time)\n",
    "        if prev_time is None or next_time is None:\n",
    "            return 0\n",
    "        if channels_copy[state]['values'][prev_time]==1 and channels_copy[state]['values'][next_time]==1:\n",
    "            return 1\n",
    "        else:\n",
    "            return 0\n",
    "\n",
    "    # Get all timestamps in the zone states\n",
    "    all_times = []\n",
    "    for zone in zones:\n",
    "        for state in [x for x in zones[zone] if 'state' in x]:\n",
    "            all_times.extend(channels[state]['times'])\n",
    "    all_times = sorted(list(set(all_times)))\n",
    "\n",
    "    # Fill in the blanks\n",
    "    channels_copy = channels.copy()\n",
    "    for zone in zones:\n",
    "        for state in [x for x in zones[zone] if 'state' in x]:\n",
    "            if channels[state]['times'] != all_times:\n",
    "                values_to_insert = []\n",
    "                times_to_insert = []\n",
    "                # Add missing times\n",
    "                for time in all_times:\n",
    "                    if time not in channels[state]['times']:\n",
    "                        values_to_insert.append(interpolate_value(state, time, channels_copy))\n",
    "                        times_to_insert.append(time)\n",
    "                channels[state]['times'].extend(times_to_insert)\n",
    "                channels[state]['values'].extend(values_to_insert)\n",
    "                # Sort by time again\n",
    "                sorted_times_values = sorted(zip(channels[state]['times'], channels[state]['values']))\n",
    "                sorted_times, sorted_values = zip(*sorted_times_values)\n",
    "                channels[state]['values'] = list(sorted_values)\n",
    "                channels[state]['times'] = list(sorted_times)\n",
    "\n",
    "fig, ax = plt.subplots(5,1, figsize=(12,22), sharex=True)\n",
    "line_style = '-x' if 'show-points'in selected_plot_keys else '-'\n",
    "\n",
    "# --------------------------------------\n",
    "# PLOT 1\n",
    "# --------------------------------------\n",
    "\n",
    "ax[0].set_title('Heat pump')\n",
    "\n",
    "# Temperature\n",
    "temp_plot = False\n",
    "if 'hp-lwt' in selected_plot_keys:\n",
    "    temp_plot = True\n",
    "    channels['hp-lwt']['values'] = [to_fahrenheit(x/1000) for x in channels['hp-lwt']['values']]\n",
    "    ax[0].plot(channels['hp-lwt']['times'], channels['hp-lwt']['values'], line_style, color='tab:red', alpha=0.7, label='HP LWT')\n",
    "if 'hp-ewt' in selected_plot_keys:\n",
    "    temp_plot = True\n",
    "    channels['hp-ewt']['values'] = [to_fahrenheit(x/1000) for x in channels['hp-ewt']['values']]\n",
    "    ax[0].plot(channels['hp-ewt']['times'], channels['hp-ewt']['values'], line_style, color='tab:blue', alpha=0.7, label='HP EWT')\n",
    "if temp_plot:\n",
    "    if 'hp-odu-pwr' in selected_plot_keys or 'hp-idu-pwr' in selected_plot_keys or 'primary-pump-pwr' in selected_plot_keys:\n",
    "        ax[0].set_ylim([0,230])\n",
    "    else:\n",
    "        lower_bound = ax[0].get_ylim()[0] - 5\n",
    "        upper_bound = ax[0].get_ylim()[1] + 25\n",
    "        ax[0].set_ylim([lower_bound, upper_bound])\n",
    "    ax[0].set_ylabel('Temperature [F]')\n",
    "    legend = ax[0].legend(loc='upper left', fontsize=9)\n",
    "    legend.get_frame().set_facecolor('none')\n",
    "    ax20 = ax[0].twinx()\n",
    "else:\n",
    "    ax20 = ax[0]\n",
    "\n",
    "# Power\n",
    "power_plot = False\n",
    "if 'hp-odu-pwr' in selected_plot_keys:\n",
    "    power_plot = True\n",
    "    channels['hp-odu-pwr']['values'] = [x/1000 for x in channels['hp-odu-pwr']['values']]\n",
    "    ax20.plot(channels['hp-odu-pwr']['times'], channels['hp-odu-pwr']['values'], line_style, color='tab:green', alpha=0.7, label='HP outdoor')\n",
    "if 'hp-idu-pwr' in selected_plot_keys:\n",
    "    power_plot = True\n",
    "    channels['hp-idu-pwr']['values'] = [x/1000 for x in channels['hp-idu-pwr']['values']]\n",
    "    ax20.plot(channels['hp-idu-pwr']['times'], channels['hp-idu-pwr']['values'], line_style, color='orange', alpha=0.7, label='HP indoor')\n",
    "if 'primary-pump-pwr' in selected_plot_keys:\n",
    "    power_plot = True\n",
    "    channels['primary-pump-pwr']['values'] = [x/10 for x in channels['primary-pump-pwr']['values']]\n",
    "    ax20.plot(channels['primary-pump-pwr']['times'], channels['primary-pump-pwr']['values'], line_style, \n",
    "            color='purple', alpha=0.7, label='Primary pump x100')\n",
    "if power_plot:\n",
    "    if temp_plot:\n",
    "        ax20.set_ylim([0,30])\n",
    "    else:\n",
    "        upper_bound = ax[0].get_ylim()[1] + 2.5\n",
    "        ax[0].set_ylim([-1, upper_bound])\n",
    "    ax20.set_ylabel('Power [kW]')\n",
    "    legend = ax20.legend(loc='upper right', fontsize=9)\n",
    "    legend.get_frame().set_facecolor('none')\n",
    "else:\n",
    "    ax20.set_yticks([])\n",
    "\n",
    "# --------------------------------------\n",
    "# PLOT 2\n",
    "# --------------------------------------\n",
    "\n",
    "ax[1].set_title('Distribution')\n",
    "\n",
    "# Temperature\n",
    "temp_plot = False\n",
    "if 'dist-swt' in selected_plot_keys:  \n",
    "    temp_plot = True    \n",
    "    channels['dist-swt']['values'] = [to_fahrenheit(x/1000) for x in channels['dist-swt']['values']]\n",
    "    ax[1].plot(channels['dist-swt']['times'], channels['dist-swt']['values'], line_style, color='tab:red', alpha=0.7, label='Distribution SWT')\n",
    "if 'dist-rwt' in selected_plot_keys:  \n",
    "    temp_plot = True    \n",
    "    channels['dist-rwt']['values'] = [to_fahrenheit(x/1000) for x in channels['dist-rwt']['values']]\n",
    "    ax[1].plot(channels['dist-rwt']['times'], channels['dist-rwt']['values'], line_style, color='tab:blue', alpha=0.7, label='Distribution RWT')\n",
    "if temp_plot:\n",
    "    ax[1].set_ylabel('Temperature [F]')\n",
    "    if 'zone_heat_calls' in selected_plot_keys:\n",
    "        ax[1].set_ylim([0,260])\n",
    "    else:\n",
    "        lower_bound = ax[1].get_ylim()[0] - 5\n",
    "        upper_bound = ax[1].get_ylim()[1] + 25\n",
    "        ax[1].set_ylim([lower_bound, upper_bound])\n",
    "    legend = ax[1].legend(loc='upper left', fontsize=9)\n",
    "    legend.get_frame().set_facecolor('none')\n",
    "    ax21 = ax[1].twinx()\n",
    "else:\n",
    "    ax21 = ax[1]\n",
    "\n",
    "# Distribution pump power\n",
    "power_plot = False   \n",
    "if 'dist-pump-pwr'in selected_plot_keys:\n",
    "    power_plot = True\n",
    "    ax21.plot(channels['dist-pump-pwr']['times'], [x/10 for x in channels['dist-pump-pwr']['values']], alpha=0.4, \n",
    "            color='pink', label='Distribution pump power /10') \n",
    "if 'dist-flow' in selected_plot_keys:\n",
    "    power_plot = True\n",
    "    ax21.plot(channels['dist-flow']['times'], [x/100 for x in channels['dist-flow']['values']], alpha=0.4, \n",
    "            color='tab:purple', label='Distribution flow') \n",
    "\n",
    "# Zone heat calls\n",
    "num_zones = len(zones.keys())\n",
    "height_of_stack = 0\n",
    "stacked_values = None\n",
    "scale = 1 #if 'dist-flow' in selected_plot_keys else 0.25\n",
    "if 'zone_heat_calls' in selected_plot_keys:\n",
    "    for zone in zones:\n",
    "        for key in [x for x in zones[zone] if 'state' in x]:\n",
    "            if stacked_values is None:\n",
    "                stacked_values = np.zeros(len(channels[key]['times']))\n",
    "            if len(stacked_values) != len(channels[key]['values']):\n",
    "                height_of_stack += scale\n",
    "                stacked_values = np.ones(len(channels[key]['times'])) * height_of_stack\n",
    "            ax21.bar(channels[key]['times'], [x*scale for x in channels[key]['values']], alpha=0.7, bottom=stacked_values, \n",
    "                        label=key.replace('-state',''), width=0.003)\n",
    "            stacked_values += [x*scale for x in channels[key]['values']]    \n",
    "\n",
    "if temp_plot and power_plot:\n",
    "    if 'dist-flow' in selected_plot_keys:\n",
    "        upper_bound = max(channels['dist-flow']['values'])/100 * 2.5\n",
    "    else:\n",
    "        upper_bound = max(channels['dist-pump-pwr']['values']) * 2.5\n",
    "    ax21.set_ylim([0,upper_bound])\n",
    "    ax21.set_ylabel('Flow rate [GPM] or Power [W]')\n",
    "elif temp_plot and not power_plot:\n",
    "    upper_bound = num_zones * scale / 0.3\n",
    "    ax21.set_ylim([0,upper_bound])\n",
    "    ax21.set_ylabel('Heat calls')\n",
    "elif not temp_plot and power_plot:\n",
    "    upper_bound = (max(channels['dist-pump-pwr']['values']) + 10)/10\n",
    "    ax21.set_ylim([0,upper_bound])\n",
    "    ax21.set_ylabel('Flow rate [GPM] or Power [W]')\n",
    "elif not temp_plot and not power_plot:\n",
    "    upper_bound = num_zones * scale\n",
    "    ax21.set_ylim([0,upper_bound])\n",
    "    ax21.set_ylabel('Heat calls')\n",
    "    ax21.set_yticks([])\n",
    "\n",
    "legend = ax21.legend(loc='upper right', fontsize=9)\n",
    "legend.get_frame().set_facecolor('none')\n",
    "\n",
    "\n",
    "# --------------------------------------\n",
    "# PLOT 3\n",
    "# --------------------------------------\n",
    "    \n",
    "ax[2].set_title('Zones')\n",
    "ax22 = ax[2].twinx()\n",
    "\n",
    "colors = {}\n",
    "for zone in zones:\n",
    "    for temp in zones[zone]:\n",
    "        if 'temp' in temp:\n",
    "            color = ax[2].plot(channels[temp]['times'], channels[temp]['values'], line_style, label=temp, alpha=0.7)[0].get_color()\n",
    "            colors[temp] = color\n",
    "        elif 'set' in temp:\n",
    "            base_temp = temp.replace('-set', '-temp')\n",
    "            if base_temp in colors:\n",
    "                ax22.plot(channels[temp]['times'], channels[temp]['values'], '-'+line_style, label=temp, \n",
    "                            color=colors[base_temp], alpha=0.7)\n",
    "                \n",
    "ax[2].set_ylabel('Temperature [F]')\n",
    "ax22.set_yticks([])\n",
    "lower_bound = min(ax[2].get_ylim()[0], ax22.get_ylim()[0]) - 5\n",
    "upper_bound = max(ax[2].get_ylim()[1], ax22.get_ylim()[1]) + 15\n",
    "ax[2].set_ylim([lower_bound, upper_bound])\n",
    "ax22.set_ylim([lower_bound, upper_bound])\n",
    "legend = ax[2].legend(loc='upper left', fontsize=9)\n",
    "legend.get_frame().set_facecolor('none')\n",
    "legend = ax22.legend(loc='upper right', fontsize=9)\n",
    "legend.get_frame().set_facecolor('none')\n",
    "\n",
    "# --------------------------------------\n",
    "# PLOT 4\n",
    "# --------------------------------------\n",
    "\n",
    "ax[3].set_title('Buffer')\n",
    "\n",
    "buffer_channels = []\n",
    "if 'buffer-depths' in selected_plot_keys:\n",
    "    buffer_channels = sorted([key for key in channels.keys() if 'buffer-depth' in key and 'micro-v' not in key])\n",
    "    for buffer_channel in buffer_channels:\n",
    "        channels[buffer_channel]['values'] = [to_fahrenheit(x/1000) for x in channels[buffer_channel]['values']]\n",
    "        ax[3].plot(channels[buffer_channel]['times'], channels[buffer_channel]['values'], line_style, \n",
    "                color=buffer_colors[buffer_channel], alpha=0.7, label=buffer_channel)\n",
    "\n",
    "if not buffer_channels:\n",
    "    if 'buffer-hot-pipe' in selected_plot_keys:\n",
    "        channels['buffer-hot-pipe']['values'] = [to_fahrenheit(x/1000) for x in channels['buffer-hot-pipe']['values']]\n",
    "        ax[3].plot(channels['buffer-hot-pipe']['times'], channels['buffer-hot-pipe']['values'], line_style, \n",
    "                color='tab:red', alpha=0.7, label='Buffer hot pipe')\n",
    "    if 'buffer-cold-pipe' in selected_plot_keys:\n",
    "        channels['buffer-cold-pipe']['values'] = [to_fahrenheit(x/1000) for x in channels['buffer-cold-pipe']['values']]\n",
    "        ax[3].plot(channels['buffer-cold-pipe']['times'], channels['buffer-cold-pipe']['values'], line_style, \n",
    "                color='tab:blue', alpha=0.7, label='Buffer cold pipe')\n",
    "\n",
    "ax[3].set_ylabel('Temperature [F]')\n",
    "legend = ax[3].legend(loc='upper left', fontsize=9)\n",
    "legend.get_frame().set_facecolor('none')\n",
    "lower_bound = ax[3].get_ylim()[0] - 5\n",
    "upper_bound = ax[3].get_ylim()[1] + 25\n",
    "ax[3].set_ylim([lower_bound, upper_bound])\n",
    "\n",
    "# --------------------------------------\n",
    "# PLOT 5\n",
    "# --------------------------------------\n",
    "\n",
    "ax[4].set_title('Storage')\n",
    "\n",
    "# Temperature\n",
    "temp_plot = False\n",
    "tank_channels = []\n",
    "\n",
    "if 'storage-depths' in selected_plot_keys:\n",
    "    temp_plot = True\n",
    "    tank_channels = sorted([key for key in channels.keys() if 'tank' in key and 'micro-v' not in key])\n",
    "    for tank_channel in tank_channels:\n",
    "        channels[tank_channel]['values'] = [to_fahrenheit(x/1000) for x in channels[tank_channel]['values']]\n",
    "        ax[4].plot(channels[tank_channel]['times'], channels[tank_channel]['values'], line_style, \n",
    "                color=storage_colors[tank_channel], alpha=0.7, label=tank_channel)\n",
    "\n",
    "if not tank_channels:\n",
    "    if 'store-hot-pipe' in selected_plot_keys:\n",
    "        temp_plot = True\n",
    "        channels['store-hot-pipe']['values'] = [to_fahrenheit(x/1000) for x in channels['store-hot-pipe']['values']]\n",
    "        ax[4].plot(channels['store-hot-pipe']['times'], channels['store-hot-pipe']['values'], line_style, \n",
    "                color='tab:red', alpha=0.7, label='Storage hot pipe')\n",
    "    if 'store-cold-pipe' in selected_plot_keys:\n",
    "        temp_plot = True\n",
    "        channels['store-cold-pipe']['values'] = [to_fahrenheit(x/1000) for x in channels['store-cold-pipe']['values']]\n",
    "        ax[4].plot(channels['store-cold-pipe']['times'], channels['store-cold-pipe']['values'], line_style, \n",
    "                color='tab:blue', alpha=0.7, label='Storage cold pipe')\n",
    "        \n",
    "if temp_plot:\n",
    "    ax24 = ax[4].twinx()\n",
    "else:\n",
    "    ax24 = ax[4]\n",
    "\n",
    "# Power\n",
    "power_plot = False\n",
    "if 'store-pump-pwr' in selected_plot_keys:\n",
    "    power_plot = True\n",
    "    channels['store-pump-pwr']['values'] = [x/10 for x in channels['store-pump-pwr']['values']]\n",
    "    ax24.plot(channels['store-pump-pwr']['times'], channels['store-pump-pwr']['values'], line_style, \n",
    "            color='tab:green', alpha=0.7, label='Storage pump x100')\n",
    "\n",
    "if power_plot:\n",
    "    if temp_plot:\n",
    "        ax24.set_ylim([-1,40])\n",
    "    ax24.set_ylabel('Power [kW]')\n",
    "    legend = ax24.legend(loc='upper right', fontsize=9)\n",
    "    legend.get_frame().set_facecolor('none')\n",
    "else:\n",
    "    ax24.set_yticks([])\n",
    "\n",
    "if temp_plot:\n",
    "    if 'store-pump-pwr' in selected_plot_keys:\n",
    "        lower_bound = ax[4].get_ylim()[0] - 5 - max(channels['store-pump-pwr']['values'])\n",
    "    else:\n",
    "        lower_bound = ax[4].get_ylim()[0] - 5\n",
    "    upper_bound = ax[4].get_ylim()[1] + 0.5*(ax[4].get_ylim()[1] - ax[4].get_ylim()[0])\n",
    "    ax[4].set_ylim([lower_bound, upper_bound])\n",
    "    ax[4].set_ylabel('Temperature [F]')\n",
    "    legend = ax[4].legend(loc='upper left', fontsize=9)\n",
    "    legend.get_frame().set_facecolor('none')\n",
    "\n",
    "# --------------------------------------\n",
    "# All plots\n",
    "# --------------------------------------\n",
    "\n",
    "for axis in ax:\n",
    "    axis.grid(axis='y', alpha=0.5)\n",
    "    xlim = axis.get_xlim()\n",
    "    if (mdates.num2date(xlim[1]) - mdates.num2date(xlim[0]) >= timedelta(hours=4) and \n",
    "        mdates.num2date(xlim[1]) - mdates.num2date(xlim[0]) <= timedelta(hours=30)):\n",
    "        axis.xaxis.set_major_locator(mdates.HourLocator(interval=1))\n",
    "    elif (mdates.num2date(xlim[1]) - mdates.num2date(xlim[0]) >= timedelta(hours=31) and \n",
    "        mdates.num2date(xlim[1]) - mdates.num2date(xlim[0]) <= timedelta(hours=65)):\n",
    "        axis.xaxis.set_major_locator(mdates.HourLocator(interval=2))\n",
    "    axis.xaxis.set_major_formatter(mdates.DateFormatter('%m/%d %H:%M'))\n",
    "    axis.tick_params(axis='x', which='both', labelbottom=True, labelsize=8)\n",
    "    plt.setp(axis.xaxis.get_majorticklabels(), rotation=45, ha='right')\n",
    "\n",
    "plt.tight_layout(pad=5.0)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "channels = {}\n",
    "for message in messages:\n",
    "    for channel in message.payload['ChannelReadingList']:\n",
    "        # Find the channel name\n",
    "        if message.message_type_name == 'report':\n",
    "            channel_name = channel['ChannelName']\n",
    "        elif message.message_type_name == 'batched.readings':\n",
    "            for dc in message.payload['DataChannelList']:\n",
    "                if dc['Id'] == channel['ChannelId']:\n",
    "                    channel_name = dc['Name']\n",
    "        # Store the values and times for the channel\n",
    "        if channel_name not in channels:\n",
    "            channels[channel_name] = {\n",
    "                'values': channel['ValueList'],\n",
    "                'times': channel['ScadaReadTimeUnixMsList']\n",
    "            }\n",
    "        else:\n",
    "            channels[channel_name]['values'].extend(channel['ValueList'])\n",
    "            channels[channel_name]['times'].extend(channel['ScadaReadTimeUnixMsList'])\n",
    "\n",
    "# Sort values according to time\n",
    "for key in channels.keys():\n",
    "    sorted_times_values = sorted(zip(channels[key]['times'], channels[key]['values']))\n",
    "    sorted_times, sorted_values = zip(*sorted_times_values)\n",
    "    channels[key]['values'] = list(sorted_values)\n",
    "    channels[key]['times'] = pd.to_datetime(list(sorted_times), unit='ms', utc=True)\n",
    "    channels[key]['times'] = channels[key]['times'].tz_convert('America/New_York')\n",
    "    channels[key]['times'] = [x.replace(tzinfo=None) for x in channels[key]['times']]\n",
    "\n",
    "    # Check the length\n",
    "    if len(channels[key]['times']) != len(channels[key]['values']):\n",
    "        print(f\"Length mismatch in channel: {key}\")\n",
    "        selected_plot_keys.remove(key)\n",
    "            \n",
    "# Find all zone channels\n",
    "zones = {}\n",
    "first_times, process_heatcalls = None, False\n",
    "for channel_name in channels.keys():\n",
    "    if 'zone' in channel_name and 'gw-temp' not in channel_name:\n",
    "        if 'state' not in channel_name:\n",
    "            channels[channel_name]['values'] = [x/1000 for x in channels[channel_name]['values']]\n",
    "        else:\n",
    "            # Round times to the minute\n",
    "            channels[channel_name]['times'] = pd.Series(channels[channel_name]['times']).dt.round('s').tolist()\n",
    "            if first_times is None:\n",
    "                first_times = channels[channel_name]['times']\n",
    "            if channels[channel_name]['times'] != first_times:\n",
    "                process_heatcalls = True\n",
    "        zone_name = channel_name.split('-')[0]\n",
    "        if zone_name not in zones:\n",
    "            zones[zone_name] = [channel_name]\n",
    "        else:\n",
    "            zones[zone_name].append(channel_name)\n",
    "\n",
    "if process_heatcalls:\n",
    "\n",
    "    def interpolate_value(state, given_time, channels_copy):\n",
    "        prev_time = None\n",
    "        next_time = None\n",
    "        for existing_time in channels_copy[state]['times']:\n",
    "            if existing_time < given_time:\n",
    "                prev_time = channels_copy[state]['times'].index(existing_time)\n",
    "            elif existing_time > given_time and next_time is None:\n",
    "                next_time = channels_copy[state]['times'].index(existing_time)\n",
    "        if prev_time is None or next_time is None:\n",
    "            return 0\n",
    "        if channels_copy[state]['values'][prev_time]==1 and channels_copy[state]['values'][next_time]==1:\n",
    "            return 1\n",
    "        else:\n",
    "            return 0\n",
    "\n",
    "    # Get all timestamps in the zone states\n",
    "    all_times = []\n",
    "    for zone in zones:\n",
    "        for state in [x for x in zones[zone] if 'state' in x]:\n",
    "            all_times.extend(channels[state]['times'])\n",
    "    all_times = sorted(list(set(all_times)))\n",
    "\n",
    "    # Fill in the blanks\n",
    "    channels_copy = channels.copy()\n",
    "    for zone in zones:\n",
    "        for state in [x for x in zones[zone] if 'state' in x]:\n",
    "            if channels[state]['times'] != all_times:\n",
    "                values_to_insert = []\n",
    "                times_to_insert = []\n",
    "                # Add missing times\n",
    "                for time in all_times:\n",
    "                    if time not in channels[state]['times']:\n",
    "                        values_to_insert.append(interpolate_value(state, time, channels_copy))\n",
    "                        times_to_insert.append(time)\n",
    "                channels[state]['times'].extend(times_to_insert)\n",
    "                channels[state]['values'].extend(values_to_insert)\n",
    "                # Sort by time again\n",
    "                sorted_times_values = sorted(zip(channels[state]['times'], channels[state]['values']))\n",
    "                sorted_times, sorted_values = zip(*sorted_times_values)\n",
    "                channels[state]['values'] = list(sorted_values)\n",
    "                channels[state]['times'] = list(sorted_times)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# fig = go.Figure()\n",
    "# fig.add_trace(go.Scatter(x=channels['hp-lwt']['times'], y=channels['hp-lwt']['values'], mode='lines', name='Line 1'))\n",
    "# fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "line": {
          "color": "red",
          "dash": "solid"
         },
         "mode": "lines",
         "name": "Distribution SWT",
         "opacity": 0.7,
         "type": "scatter",
         "x": [
          "2024-12-08T23:55:47.172000",
          "2024-12-08T23:55:51.574000",
          "2024-12-08T23:55:55.176000",
          "2024-12-08T23:56:00.183000",
          "2024-12-08T23:56:13.189000",
          "2024-12-08T23:57:51.853000",
          "2024-12-08T23:59:13.905000",
          "2024-12-08T23:59:17.507000",
          "2024-12-08T23:59:29.715000",
          "2024-12-09T00:00:35.355000",
          "2024-12-09T00:00:35.355000",
          "2024-12-09T00:00:35.355000",
          "2024-12-09T00:00:35.355000",
          "2024-12-09T00:01:54.404000",
          "2024-12-09T00:01:54.404000",
          "2024-12-09T00:01:54.404000",
          "2024-12-09T00:01:54.404000",
          "2024-12-09T00:03:38.270000",
          "2024-12-09T00:03:38.270000",
          "2024-12-09T00:03:38.270000",
          "2024-12-09T00:03:38.270000",
          "2024-12-09T00:04:34.108000",
          "2024-12-09T00:04:34.108000",
          "2024-12-09T00:04:34.108000",
          "2024-12-09T00:04:34.108000",
          "2024-12-09T00:05:41.151000",
          "2024-12-09T00:05:41.151000",
          "2024-12-09T00:05:41.151000",
          "2024-12-09T00:05:41.151000",
          "2024-12-09T00:06:45.591000",
          "2024-12-09T00:06:45.591000",
          "2024-12-09T00:06:45.591000",
          "2024-12-09T00:06:45.591000",
          "2024-12-09T00:08:04.041000",
          "2024-12-09T00:08:04.041000",
          "2024-12-09T00:08:04.041000",
          "2024-12-09T00:08:04.041000",
          "2024-12-09T00:09:37.900000",
          "2024-12-09T00:09:37.900000",
          "2024-12-09T00:09:37.900000",
          "2024-12-09T00:09:37.900000",
          "2024-12-09T00:11:49.385000",
          "2024-12-09T00:11:49.385000",
          "2024-12-09T00:11:49.385000",
          "2024-12-09T00:11:49.385000",
          "2024-12-09T00:14:33.584000",
          "2024-12-09T00:14:33.584000",
          "2024-12-09T00:14:33.584000",
          "2024-12-09T00:14:33.584000",
          "2024-12-09T00:17:45.107000",
          "2024-12-09T00:17:45.107000",
          "2024-12-09T00:17:45.107000",
          "2024-12-09T00:17:45.107000",
          "2024-12-09T00:22:07.874000",
          "2024-12-09T00:22:07.874000",
          "2024-12-09T00:22:07.874000",
          "2024-12-09T00:22:07.874000",
          "2024-12-09T00:27:07.066000",
          "2024-12-09T00:27:07.066000",
          "2024-12-09T00:27:07.066000",
          "2024-12-09T00:27:07.066000",
          "2024-12-09T00:32:07.056000",
          "2024-12-09T00:32:07.056000",
          "2024-12-09T00:32:07.056000",
          "2024-12-09T00:32:07.056000",
          "2024-12-09T00:36:30.824000",
          "2024-12-09T00:36:30.824000",
          "2024-12-09T00:36:30.824000",
          "2024-12-09T00:36:30.824000",
          "2024-12-09T00:36:32.227000",
          "2024-12-09T00:36:32.227000",
          "2024-12-09T00:36:32.227000",
          "2024-12-09T00:36:32.227000",
          "2024-12-09T00:36:33.827000",
          "2024-12-09T00:36:33.827000",
          "2024-12-09T00:36:33.827000",
          "2024-12-09T00:36:33.827000",
          "2024-12-09T00:36:35.227000",
          "2024-12-09T00:36:35.227000",
          "2024-12-09T00:36:35.227000",
          "2024-12-09T00:36:35.227000",
          "2024-12-09T00:36:37.429000",
          "2024-12-09T00:36:37.429000",
          "2024-12-09T00:36:37.429000",
          "2024-12-09T00:36:37.429000",
          "2024-12-09T00:36:39.229000",
          "2024-12-09T00:36:39.229000",
          "2024-12-09T00:36:39.229000",
          "2024-12-09T00:36:39.229000",
          "2024-12-09T00:36:42.231000",
          "2024-12-09T00:36:42.231000",
          "2024-12-09T00:36:42.231000",
          "2024-12-09T00:36:42.231000",
          "2024-12-09T00:36:54.239000",
          "2024-12-09T00:36:54.239000",
          "2024-12-09T00:36:54.239000",
          "2024-12-09T00:36:54.239000",
          "2024-12-09T00:36:57.643000",
          "2024-12-09T00:36:57.643000",
          "2024-12-09T00:36:57.643000",
          "2024-12-09T00:36:57.643000",
          "2024-12-09T00:36:59.642000",
          "2024-12-09T00:36:59.642000",
          "2024-12-09T00:36:59.642000",
          "2024-12-09T00:36:59.642000",
          "2024-12-09T00:37:03.847000",
          "2024-12-09T00:37:03.847000",
          "2024-12-09T00:37:03.847000",
          "2024-12-09T00:37:03.847000",
          "2024-12-09T00:37:06.847000",
          "2024-12-09T00:37:06.847000",
          "2024-12-09T00:37:06.847000",
          "2024-12-09T00:37:06.847000",
          "2024-12-09T00:37:09.649000",
          "2024-12-09T00:37:09.649000",
          "2024-12-09T00:37:09.649000",
          "2024-12-09T00:37:09.649000",
          "2024-12-09T00:37:12.650000",
          "2024-12-09T00:37:12.650000",
          "2024-12-09T00:37:12.650000",
          "2024-12-09T00:37:12.650000",
          "2024-12-09T00:37:15.253000",
          "2024-12-09T00:37:15.253000",
          "2024-12-09T00:37:15.253000",
          "2024-12-09T00:37:15.253000",
          "2024-12-09T00:37:20.256000",
          "2024-12-09T00:37:20.256000",
          "2024-12-09T00:37:20.256000",
          "2024-12-09T00:37:20.256000",
          "2024-12-09T00:37:24.659000",
          "2024-12-09T00:37:24.659000",
          "2024-12-09T00:37:24.659000",
          "2024-12-09T00:37:24.659000",
          "2024-12-09T00:37:30.061000",
          "2024-12-09T00:37:30.061000",
          "2024-12-09T00:37:30.061000",
          "2024-12-09T00:37:30.061000",
          "2024-12-09T00:37:36.267000",
          "2024-12-09T00:37:36.267000",
          "2024-12-09T00:37:36.267000",
          "2024-12-09T00:37:36.267000",
          "2024-12-09T00:38:38.305000",
          "2024-12-09T00:38:38.305000",
          "2024-12-09T00:38:38.305000",
          "2024-12-09T00:38:38.305000",
          "2024-12-09T00:39:34.947000",
          "2024-12-09T00:39:34.947000",
          "2024-12-09T00:39:34.947000",
          "2024-12-09T00:39:34.947000",
          "2024-12-09T00:40:03.566000",
          "2024-12-09T00:40:03.566000",
          "2024-12-09T00:40:03.566000",
          "2024-12-09T00:40:03.566000",
          "2024-12-09T00:40:05.566000",
          "2024-12-09T00:40:05.566000",
          "2024-12-09T00:40:05.566000",
          "2024-12-09T00:40:05.566000",
          "2024-12-09T00:40:07.968000",
          "2024-12-09T00:40:07.968000",
          "2024-12-09T00:40:07.968000",
          "2024-12-09T00:40:07.968000",
          "2024-12-09T00:40:10.369000",
          "2024-12-09T00:40:10.369000",
          "2024-12-09T00:40:10.369000",
          "2024-12-09T00:40:10.369000",
          "2024-12-09T00:40:12.772000",
          "2024-12-09T00:40:12.772000",
          "2024-12-09T00:40:12.772000",
          "2024-12-09T00:40:12.772000",
          "2024-12-09T00:40:14.973000",
          "2024-12-09T00:40:14.973000",
          "2024-12-09T00:40:14.973000",
          "2024-12-09T00:40:14.973000",
          "2024-12-09T00:40:17.175000",
          "2024-12-09T00:40:17.175000",
          "2024-12-09T00:40:17.175000",
          "2024-12-09T00:40:17.175000",
          "2024-12-09T00:40:19.176000",
          "2024-12-09T00:40:19.176000",
          "2024-12-09T00:40:19.176000",
          "2024-12-09T00:40:19.176000",
          "2024-12-09T00:40:21.577000",
          "2024-12-09T00:40:21.577000",
          "2024-12-09T00:40:21.577000",
          "2024-12-09T00:40:21.577000",
          "2024-12-09T00:40:24.980000",
          "2024-12-09T00:40:24.980000",
          "2024-12-09T00:40:24.980000",
          "2024-12-09T00:40:24.980000",
          "2024-12-09T00:40:30.183000",
          "2024-12-09T00:40:30.183000",
          "2024-12-09T00:40:30.183000",
          "2024-12-09T00:40:30.183000",
          "2024-12-09T00:42:06.846000",
          "2024-12-09T00:42:06.846000",
          "2024-12-09T00:42:06.846000",
          "2024-12-09T00:42:06.846000",
          "2024-12-09T00:43:14.489000",
          "2024-12-09T00:43:14.489000",
          "2024-12-09T00:43:14.489000",
          "2024-12-09T00:43:14.489000",
          "2024-12-09T00:45:19.569000",
          "2024-12-09T00:45:19.569000",
          "2024-12-09T00:45:19.569000",
          "2024-12-09T00:45:19.569000",
          "2024-12-09T00:46:31.414000",
          "2024-12-09T00:46:31.414000",
          "2024-12-09T00:46:31.414000",
          "2024-12-09T00:46:31.414000",
          "2024-12-09T00:48:06.477000",
          "2024-12-09T00:48:06.477000",
          "2024-12-09T00:48:06.477000",
          "2024-12-09T00:48:06.477000",
          "2024-12-09T00:48:54.907000",
          "2024-12-09T00:48:54.907000",
          "2024-12-09T00:48:54.907000",
          "2024-12-09T00:48:54.907000",
          "2024-12-09T00:49:38.134000",
          "2024-12-09T00:49:38.134000",
          "2024-12-09T00:49:38.134000",
          "2024-12-09T00:49:38.134000",
          "2024-12-09T00:50:39.469000",
          "2024-12-09T00:50:39.469000",
          "2024-12-09T00:50:39.469000",
          "2024-12-09T00:50:39.469000",
          "2024-12-09T00:51:49.513000",
          "2024-12-09T00:51:49.513000",
          "2024-12-09T00:51:49.513000",
          "2024-12-09T00:51:49.513000",
          "2024-12-09T00:53:04.762000",
          "2024-12-09T00:53:04.762000",
          "2024-12-09T00:53:04.762000",
          "2024-12-09T00:53:04.762000",
          "2024-12-09T00:54:12.804000",
          "2024-12-09T00:54:12.804000",
          "2024-12-09T00:54:12.804000",
          "2024-12-09T00:54:12.804000",
          "2024-12-09T00:54:18.792000",
          "2024-12-09T00:54:18.792000",
          "2024-12-09T00:54:18.792000",
          "2024-12-09T00:54:18.792000",
          "2024-12-09T00:54:25.611000",
          "2024-12-09T00:54:25.611000",
          "2024-12-09T00:54:25.611000",
          "2024-12-09T00:54:25.611000",
          "2024-12-09T00:55:28.652000",
          "2024-12-09T00:55:28.652000",
          "2024-12-09T00:55:28.652000",
          "2024-12-09T00:55:28.652000",
          "2024-12-09T00:56:55.108000",
          "2024-12-09T00:56:55.108000",
          "2024-12-09T00:56:55.108000",
          "2024-12-09T00:56:55.108000",
          "2024-12-09T00:57:36.734000",
          "2024-12-09T00:57:36.734000",
          "2024-12-09T00:57:36.734000",
          "2024-12-09T00:57:36.734000",
          "2024-12-09T00:57:42.738000",
          "2024-12-09T00:57:42.738000",
          "2024-12-09T00:57:42.738000",
          "2024-12-09T00:57:42.738000",
          "2024-12-09T00:57:56.948000",
          "2024-12-09T00:57:56.948000",
          "2024-12-09T00:57:56.948000",
          "2024-12-09T00:57:56.948000",
          "2024-12-09T00:58:47.580000",
          "2024-12-09T00:58:47.580000",
          "2024-12-09T00:58:47.580000",
          "2024-12-09T00:58:47.580000",
          "2024-12-09T00:59:08.592000",
          "2024-12-09T00:59:08.592000",
          "2024-12-09T00:59:08.592000",
          "2024-12-09T00:59:08.592000",
          "2024-12-09T00:59:29.805000",
          "2024-12-09T00:59:29.805000",
          "2024-12-09T00:59:29.805000",
          "2024-12-09T00:59:29.805000",
          "2024-12-09T00:59:48.818000",
          "2024-12-09T00:59:48.818000",
          "2024-12-09T00:59:48.818000",
          "2024-12-09T00:59:48.818000",
          "2024-12-09T01:00:06.831000",
          "2024-12-09T01:00:06.831000",
          "2024-12-09T01:00:06.831000",
          "2024-12-09T01:00:06.831000",
          "2024-12-09T01:00:32.649000",
          "2024-12-09T01:00:32.649000",
          "2024-12-09T01:00:32.649000",
          "2024-12-09T01:00:32.649000",
          "2024-12-09T01:01:06.870000",
          "2024-12-09T01:01:06.870000",
          "2024-12-09T01:01:06.870000",
          "2024-12-09T01:01:06.870000",
          "2024-12-09T01:01:56.701000",
          "2024-12-09T01:01:56.701000",
          "2024-12-09T01:01:56.701000",
          "2024-12-09T01:01:56.701000",
          "2024-12-09T01:03:13.550000",
          "2024-12-09T01:03:13.550000",
          "2024-12-09T01:03:13.550000",
          "2024-12-09T01:03:13.550000",
          "2024-12-09T01:03:41.168000",
          "2024-12-09T01:03:41.168000",
          "2024-12-09T01:03:41.168000",
          "2024-12-09T01:03:41.168000",
          "2024-12-09T01:03:50.774000",
          "2024-12-09T01:03:50.774000",
          "2024-12-09T01:03:50.774000",
          "2024-12-09T01:03:50.774000",
          "2024-12-09T01:03:57.178000",
          "2024-12-09T01:03:57.178000",
          "2024-12-09T01:03:57.178000",
          "2024-12-09T01:03:57.178000",
          "2024-12-09T01:04:02.581000",
          "2024-12-09T01:04:02.581000",
          "2024-12-09T01:04:02.581000",
          "2024-12-09T01:04:02.581000",
          "2024-12-09T01:04:12.587000",
          "2024-12-09T01:04:12.587000",
          "2024-12-09T01:04:12.587000",
          "2024-12-09T01:04:12.587000",
          "2024-12-09T01:04:27.399000",
          "2024-12-09T01:04:27.399000",
          "2024-12-09T01:04:27.399000",
          "2024-12-09T01:04:27.399000",
          "2024-12-09T01:04:42.605000",
          "2024-12-09T01:04:42.605000",
          "2024-12-09T01:04:42.605000",
          "2024-12-09T01:04:42.605000",
          "2024-12-09T01:04:59.817000",
          "2024-12-09T01:04:59.817000",
          "2024-12-09T01:04:59.817000",
          "2024-12-09T01:04:59.817000",
          "2024-12-09T01:05:19.429000",
          "2024-12-09T01:05:19.429000",
          "2024-12-09T01:05:19.429000",
          "2024-12-09T01:05:19.429000",
          "2024-12-09T01:05:47.047000",
          "2024-12-09T01:05:47.047000",
          "2024-12-09T01:05:47.047000",
          "2024-12-09T01:05:47.047000",
          "2024-12-09T01:06:06.659000",
          "2024-12-09T01:06:06.659000",
          "2024-12-09T01:06:06.659000",
          "2024-12-09T01:06:06.659000",
          "2024-12-09T01:06:58.896000",
          "2024-12-09T01:06:58.896000",
          "2024-12-09T01:06:58.896000",
          "2024-12-09T01:06:58.896000",
          "2024-12-09T01:06:59.295000",
          "2024-12-09T01:06:59.295000",
          "2024-12-09T01:06:59.295000",
          "2024-12-09T01:06:59.295000",
          "2024-12-09T01:08:22.148000",
          "2024-12-09T01:08:22.148000",
          "2024-12-09T01:08:22.148000",
          "2024-12-09T01:08:22.148000",
          "2024-12-09T01:09:02.772000",
          "2024-12-09T01:09:02.772000",
          "2024-12-09T01:09:02.772000",
          "2024-12-09T01:09:02.772000",
          "2024-12-09T01:09:20.787000",
          "2024-12-09T01:09:20.787000",
          "2024-12-09T01:09:20.787000",
          "2024-12-09T01:09:20.787000",
          "2024-12-09T01:10:02.610000",
          "2024-12-09T01:10:02.610000",
          "2024-12-09T01:10:02.610000",
          "2024-12-09T01:10:02.610000",
          "2024-12-09T01:10:52.243000",
          "2024-12-09T01:10:52.243000",
          "2024-12-09T01:10:52.243000",
          "2024-12-09T01:10:52.243000",
          "2024-12-09T01:11:58.084000",
          "2024-12-09T01:11:58.084000",
          "2024-12-09T01:11:58.084000",
          "2024-12-09T01:11:58.084000",
          "2024-12-09T01:13:10.531000",
          "2024-12-09T01:13:10.531000",
          "2024-12-09T01:13:10.531000",
          "2024-12-09T01:13:10.531000",
          "2024-12-09T01:13:28.142000",
          "2024-12-09T01:13:28.142000",
          "2024-12-09T01:13:28.142000",
          "2024-12-09T01:13:28.142000",
          "2024-12-09T01:13:47.955000",
          "2024-12-09T01:13:47.955000",
          "2024-12-09T01:13:47.955000",
          "2024-12-09T01:13:47.955000",
          "2024-12-09T01:14:27.379000",
          "2024-12-09T01:14:27.379000",
          "2024-12-09T01:14:27.379000",
          "2024-12-09T01:14:27.379000",
          "2024-12-09T01:19:06.355000",
          "2024-12-09T01:19:06.355000",
          "2024-12-09T01:19:06.355000",
          "2024-12-09T01:19:06.355000",
          "2024-12-09T01:19:11.959000",
          "2024-12-09T01:19:11.959000",
          "2024-12-09T01:19:11.959000",
          "2024-12-09T01:19:11.959000",
          "2024-12-09T01:19:31.972000",
          "2024-12-09T01:19:31.972000",
          "2024-12-09T01:19:31.972000",
          "2024-12-09T01:19:31.972000",
          "2024-12-09T01:19:37.376000",
          "2024-12-09T01:19:37.376000",
          "2024-12-09T01:19:37.376000",
          "2024-12-09T01:19:37.376000",
          "2024-12-09T01:19:41.979000",
          "2024-12-09T01:19:41.979000",
          "2024-12-09T01:19:41.979000",
          "2024-12-09T01:19:41.979000",
          "2024-12-09T01:19:44.182000",
          "2024-12-09T01:19:44.182000",
          "2024-12-09T01:19:44.182000",
          "2024-12-09T01:19:44.182000",
          "2024-12-09T01:19:45.981000",
          "2024-12-09T01:19:45.981000",
          "2024-12-09T01:19:45.981000",
          "2024-12-09T01:19:45.981000",
          "2024-12-09T01:19:47.582000",
          "2024-12-09T01:19:47.582000",
          "2024-12-09T01:19:47.582000",
          "2024-12-09T01:19:47.582000",
          "2024-12-09T01:19:49.984000",
          "2024-12-09T01:19:49.984000",
          "2024-12-09T01:19:49.984000",
          "2024-12-09T01:19:49.984000",
          "2024-12-09T01:19:51.584000",
          "2024-12-09T01:19:51.584000",
          "2024-12-09T01:19:51.584000",
          "2024-12-09T01:19:51.584000",
          "2024-12-09T01:19:53.186000",
          "2024-12-09T01:19:53.186000",
          "2024-12-09T01:19:53.186000",
          "2024-12-09T01:19:53.186000",
          "2024-12-09T01:19:55.987000",
          "2024-12-09T01:19:55.987000",
          "2024-12-09T01:19:55.987000",
          "2024-12-09T01:19:55.987000",
          "2024-12-09T01:19:58.788000",
          "2024-12-09T01:19:58.788000",
          "2024-12-09T01:19:58.788000",
          "2024-12-09T01:19:58.788000",
          "2024-12-09T01:20:00.790000",
          "2024-12-09T01:20:00.790000",
          "2024-12-09T01:20:00.790000",
          "2024-12-09T01:20:00.790000",
          "2024-12-09T01:20:24.205000",
          "2024-12-09T01:20:24.205000",
          "2024-12-09T01:20:24.205000",
          "2024-12-09T01:20:24.205000",
          "2024-12-09T01:20:32.810000",
          "2024-12-09T01:20:32.810000",
          "2024-12-09T01:20:32.810000",
          "2024-12-09T01:20:32.810000",
          "2024-12-09T01:20:37.213000",
          "2024-12-09T01:20:37.213000",
          "2024-12-09T01:20:37.213000",
          "2024-12-09T01:20:37.213000",
          "2024-12-09T01:20:44.819000",
          "2024-12-09T01:20:44.819000",
          "2024-12-09T01:20:44.819000",
          "2024-12-09T01:20:44.819000",
          "2024-12-09T01:20:50.223000",
          "2024-12-09T01:20:50.223000",
          "2024-12-09T01:20:50.223000",
          "2024-12-09T01:20:50.223000",
          "2024-12-09T01:20:55.224000",
          "2024-12-09T01:20:55.224000",
          "2024-12-09T01:20:55.224000",
          "2024-12-09T01:20:55.224000",
          "2024-12-09T01:21:02.629000",
          "2024-12-09T01:21:02.629000",
          "2024-12-09T01:21:02.629000",
          "2024-12-09T01:21:02.629000",
          "2024-12-09T01:21:07.633000",
          "2024-12-09T01:21:07.633000",
          "2024-12-09T01:21:07.633000",
          "2024-12-09T01:21:07.633000",
          "2024-12-09T01:21:14.037000",
          "2024-12-09T01:21:14.037000",
          "2024-12-09T01:21:14.037000",
          "2024-12-09T01:21:14.037000",
          "2024-12-09T01:21:20.840000",
          "2024-12-09T01:21:20.840000",
          "2024-12-09T01:21:20.840000",
          "2024-12-09T01:21:20.840000",
          "2024-12-09T01:21:29.246000",
          "2024-12-09T01:21:29.246000",
          "2024-12-09T01:21:29.246000",
          "2024-12-09T01:21:29.246000",
          "2024-12-09T01:21:43.055000",
          "2024-12-09T01:21:43.055000",
          "2024-12-09T01:21:43.055000",
          "2024-12-09T01:21:43.055000",
          "2024-12-09T01:21:53.461000",
          "2024-12-09T01:21:53.461000",
          "2024-12-09T01:21:53.461000",
          "2024-12-09T01:21:53.461000",
          "2024-12-09T01:22:08.472000",
          "2024-12-09T01:22:08.472000",
          "2024-12-09T01:22:08.472000",
          "2024-12-09T01:22:08.472000",
          "2024-12-09T01:22:25.883000",
          "2024-12-09T01:22:25.883000",
          "2024-12-09T01:22:25.883000",
          "2024-12-09T01:22:25.883000",
          "2024-12-09T01:22:44.894000",
          "2024-12-09T01:22:44.894000",
          "2024-12-09T01:22:44.894000",
          "2024-12-09T01:22:44.894000",
          "2024-12-09T01:23:02.705000",
          "2024-12-09T01:23:02.705000",
          "2024-12-09T01:23:02.705000",
          "2024-12-09T01:23:02.705000",
          "2024-12-09T01:23:14.310000",
          "2024-12-09T01:23:14.310000",
          "2024-12-09T01:23:14.310000",
          "2024-12-09T01:23:14.310000",
          "2024-12-09T01:23:26.521000",
          "2024-12-09T01:23:26.521000",
          "2024-12-09T01:23:26.521000",
          "2024-12-09T01:23:26.521000",
          "2024-12-09T01:23:33.926000",
          "2024-12-09T01:23:33.926000",
          "2024-12-09T01:23:33.926000",
          "2024-12-09T01:23:33.926000",
          "2024-12-09T01:23:40.930000",
          "2024-12-09T01:23:40.930000",
          "2024-12-09T01:23:40.930000",
          "2024-12-09T01:23:40.930000",
          "2024-12-09T01:23:48.334000",
          "2024-12-09T01:23:48.334000",
          "2024-12-09T01:23:48.334000",
          "2024-12-09T01:23:48.334000",
          "2024-12-09T01:23:53.538000",
          "2024-12-09T01:23:53.538000",
          "2024-12-09T01:23:53.538000",
          "2024-12-09T01:23:53.538000",
          "2024-12-09T01:24:04.346000",
          "2024-12-09T01:24:04.346000",
          "2024-12-09T01:24:04.346000",
          "2024-12-09T01:24:04.346000",
          "2024-12-09T01:24:19.760000",
          "2024-12-09T01:24:19.760000",
          "2024-12-09T01:24:19.760000",
          "2024-12-09T01:24:19.760000",
          "2024-12-09T01:24:33.563000",
          "2024-12-09T01:24:33.563000",
          "2024-12-09T01:24:33.563000",
          "2024-12-09T01:24:33.563000",
          "2024-12-09T01:24:56.979000",
          "2024-12-09T01:24:56.979000",
          "2024-12-09T01:24:56.979000",
          "2024-12-09T01:24:56.979000",
          "2024-12-09T01:25:02.983000",
          "2024-12-09T01:25:02.983000",
          "2024-12-09T01:25:02.983000",
          "2024-12-09T01:25:02.983000",
          "2024-12-09T01:25:16.591000",
          "2024-12-09T01:25:16.591000",
          "2024-12-09T01:25:16.591000",
          "2024-12-09T01:25:16.591000",
          "2024-12-09T01:25:34.002000",
          "2024-12-09T01:25:34.002000",
          "2024-12-09T01:25:34.002000",
          "2024-12-09T01:25:34.002000",
          "2024-12-09T01:25:37.605000",
          "2024-12-09T01:25:37.605000",
          "2024-12-09T01:25:37.605000",
          "2024-12-09T01:25:37.605000",
          "2024-12-09T01:25:40.207000",
          "2024-12-09T01:25:40.207000",
          "2024-12-09T01:25:40.207000",
          "2024-12-09T01:25:40.207000",
          "2024-12-09T01:25:43.008000",
          "2024-12-09T01:25:43.008000",
          "2024-12-09T01:25:43.008000",
          "2024-12-09T01:25:43.008000",
          "2024-12-09T01:25:45.410000",
          "2024-12-09T01:25:45.410000",
          "2024-12-09T01:25:45.410000",
          "2024-12-09T01:25:45.410000",
          "2024-12-09T01:25:48.811000",
          "2024-12-09T01:25:48.811000",
          "2024-12-09T01:25:48.811000",
          "2024-12-09T01:25:48.811000",
          "2024-12-09T01:25:52.013000",
          "2024-12-09T01:25:52.013000",
          "2024-12-09T01:25:52.013000",
          "2024-12-09T01:25:52.013000",
          "2024-12-09T01:26:06.224000",
          "2024-12-09T01:26:06.224000",
          "2024-12-09T01:26:06.224000",
          "2024-12-09T01:26:06.224000",
          "2024-12-09T01:26:10.825000",
          "2024-12-09T01:26:10.825000",
          "2024-12-09T01:26:10.825000",
          "2024-12-09T01:26:10.825000",
          "2024-12-09T01:26:14.228000",
          "2024-12-09T01:26:14.228000",
          "2024-12-09T01:26:14.228000",
          "2024-12-09T01:26:14.228000",
          "2024-12-09T01:26:18.031000",
          "2024-12-09T01:26:18.031000",
          "2024-12-09T01:26:18.031000",
          "2024-12-09T01:26:18.031000",
          "2024-12-09T01:26:22.033000",
          "2024-12-09T01:26:22.033000",
          "2024-12-09T01:26:22.033000",
          "2024-12-09T01:26:22.033000",
          "2024-12-09T01:26:26.436000",
          "2024-12-09T01:26:26.436000",
          "2024-12-09T01:26:26.436000",
          "2024-12-09T01:26:26.436000",
          "2024-12-09T01:26:30.840000",
          "2024-12-09T01:26:30.840000",
          "2024-12-09T01:26:30.840000",
          "2024-12-09T01:26:30.840000",
          "2024-12-09T01:26:35.041000",
          "2024-12-09T01:26:35.041000",
          "2024-12-09T01:26:35.041000",
          "2024-12-09T01:26:35.041000",
          "2024-12-09T01:26:39.444000",
          "2024-12-09T01:26:39.444000",
          "2024-12-09T01:26:39.444000",
          "2024-12-09T01:26:39.444000",
          "2024-12-09T01:26:44.849000",
          "2024-12-09T01:26:44.849000",
          "2024-12-09T01:26:44.849000",
          "2024-12-09T01:26:44.849000",
          "2024-12-09T01:26:50.451000",
          "2024-12-09T01:26:50.451000",
          "2024-12-09T01:26:50.451000",
          "2024-12-09T01:26:50.451000",
          "2024-12-09T01:26:56.655000",
          "2024-12-09T01:26:56.655000",
          "2024-12-09T01:26:56.655000",
          "2024-12-09T01:26:56.655000",
          "2024-12-09T01:27:02.258000",
          "2024-12-09T01:27:02.258000",
          "2024-12-09T01:27:02.258000",
          "2024-12-09T01:27:02.258000",
          "2024-12-09T01:27:53.789000",
          "2024-12-09T01:27:53.789000",
          "2024-12-09T01:27:53.789000",
          "2024-12-09T01:27:53.789000",
          "2024-12-09T01:28:12.801000",
          "2024-12-09T01:28:12.801000",
          "2024-12-09T01:28:12.801000",
          "2024-12-09T01:28:12.801000",
          "2024-12-09T01:28:25.408000",
          "2024-12-09T01:28:25.408000",
          "2024-12-09T01:28:25.408000",
          "2024-12-09T01:28:25.408000",
          "2024-12-09T01:28:35.817000",
          "2024-12-09T01:28:35.817000",
          "2024-12-09T01:28:35.817000",
          "2024-12-09T01:28:35.817000",
          "2024-12-09T01:28:45.421000",
          "2024-12-09T01:28:45.421000",
          "2024-12-09T01:28:45.421000",
          "2024-12-09T01:28:45.421000",
          "2024-12-09T01:28:58.229000",
          "2024-12-09T01:28:58.229000",
          "2024-12-09T01:28:58.229000",
          "2024-12-09T01:28:58.229000",
          "2024-12-09T01:29:17.841000",
          "2024-12-09T01:29:17.841000",
          "2024-12-09T01:29:17.841000",
          "2024-12-09T01:29:17.841000",
          "2024-12-09T01:30:55.704000",
          "2024-12-09T01:30:55.704000",
          "2024-12-09T01:30:55.704000",
          "2024-12-09T01:30:55.704000",
          "2024-12-09T01:33:28.201000",
          "2024-12-09T01:33:28.201000",
          "2024-12-09T01:33:28.201000",
          "2024-12-09T01:33:28.201000",
          "2024-12-09T01:35:13.872000",
          "2024-12-09T01:35:13.872000",
          "2024-12-09T01:35:13.872000",
          "2024-12-09T01:35:13.872000",
          "2024-12-09T01:38:02.978000",
          "2024-12-09T01:38:02.978000",
          "2024-12-09T01:38:02.978000",
          "2024-12-09T01:38:02.978000",
          "2024-12-09T01:38:53.612000",
          "2024-12-09T01:38:53.612000",
          "2024-12-09T01:38:53.612000",
          "2024-12-09T01:38:53.612000",
          "2024-12-09T01:39:40.442000",
          "2024-12-09T01:39:40.442000",
          "2024-12-09T01:39:40.442000",
          "2024-12-09T01:39:40.442000",
          "2024-12-09T01:40:05.458000",
          "2024-12-09T01:40:05.458000",
          "2024-12-09T01:40:05.458000",
          "2024-12-09T01:40:05.458000",
          "2024-12-09T01:41:16.504000",
          "2024-12-09T01:41:16.504000",
          "2024-12-09T01:41:16.504000",
          "2024-12-09T01:41:16.504000",
          "2024-12-09T01:41:53.525000",
          "2024-12-09T01:41:53.525000",
          "2024-12-09T01:41:53.525000",
          "2024-12-09T01:41:53.525000",
          "2024-12-09T01:42:45.559000",
          "2024-12-09T01:42:45.559000",
          "2024-12-09T01:42:45.559000",
          "2024-12-09T01:42:45.559000",
          "2024-12-09T01:43:18.580000",
          "2024-12-09T01:43:18.580000",
          "2024-12-09T01:43:18.580000",
          "2024-12-09T01:43:18.580000",
          "2024-12-09T01:43:56.003000",
          "2024-12-09T01:43:56.003000",
          "2024-12-09T01:43:56.003000",
          "2024-12-09T01:43:56.003000",
          "2024-12-09T01:44:20.221000",
          "2024-12-09T01:44:20.221000",
          "2024-12-09T01:44:20.221000",
          "2024-12-09T01:44:20.221000",
          "2024-12-09T01:44:52.439000",
          "2024-12-09T01:44:52.439000",
          "2024-12-09T01:44:52.439000",
          "2024-12-09T01:44:52.439000",
          "2024-12-09T01:45:19.856000",
          "2024-12-09T01:45:19.856000",
          "2024-12-09T01:45:19.856000",
          "2024-12-09T01:45:19.856000",
          "2024-12-09T01:45:43.070000",
          "2024-12-09T01:45:43.070000",
          "2024-12-09T01:45:43.070000",
          "2024-12-09T01:45:43.070000",
          "2024-12-09T01:46:11.690000",
          "2024-12-09T01:46:11.690000",
          "2024-12-09T01:46:11.690000",
          "2024-12-09T01:46:11.690000",
          "2024-12-09T01:46:13.292000",
          "2024-12-09T01:46:13.292000",
          "2024-12-09T01:46:13.292000",
          "2024-12-09T01:46:13.292000",
          "2024-12-09T01:46:14.292000",
          "2024-12-09T01:46:14.292000",
          "2024-12-09T01:46:14.292000",
          "2024-12-09T01:46:14.292000",
          "2024-12-09T01:46:15.293000",
          "2024-12-09T01:46:15.293000",
          "2024-12-09T01:46:15.293000",
          "2024-12-09T01:46:15.293000",
          "2024-12-09T01:46:16.295000",
          "2024-12-09T01:46:16.295000",
          "2024-12-09T01:46:16.295000",
          "2024-12-09T01:46:16.295000",
          "2024-12-09T01:46:17.295000",
          "2024-12-09T01:46:17.295000",
          "2024-12-09T01:46:17.295000",
          "2024-12-09T01:46:17.295000",
          "2024-12-09T01:46:18.495000",
          "2024-12-09T01:46:18.495000",
          "2024-12-09T01:46:18.495000",
          "2024-12-09T01:46:18.495000",
          "2024-12-09T01:46:20.096000",
          "2024-12-09T01:46:20.096000",
          "2024-12-09T01:46:20.096000",
          "2024-12-09T01:46:20.096000",
          "2024-12-09T01:46:22.497000",
          "2024-12-09T01:46:22.497000",
          "2024-12-09T01:46:22.497000",
          "2024-12-09T01:46:22.497000",
          "2024-12-09T01:46:26.501000",
          "2024-12-09T01:46:26.501000",
          "2024-12-09T01:46:26.501000",
          "2024-12-09T01:46:26.501000",
          "2024-12-09T01:46:34.305000",
          "2024-12-09T01:46:34.305000",
          "2024-12-09T01:46:34.305000",
          "2024-12-09T01:46:34.305000",
          "2024-12-09T01:46:47.514000",
          "2024-12-09T01:46:47.514000",
          "2024-12-09T01:46:47.514000",
          "2024-12-09T01:46:47.514000",
          "2024-12-09T01:46:51.316000",
          "2024-12-09T01:46:51.316000",
          "2024-12-09T01:46:51.316000",
          "2024-12-09T01:46:51.316000",
          "2024-12-09T01:46:53.917000",
          "2024-12-09T01:46:53.917000",
          "2024-12-09T01:46:53.917000",
          "2024-12-09T01:46:53.917000",
          "2024-12-09T01:46:57.321000",
          "2024-12-09T01:46:57.321000",
          "2024-12-09T01:46:57.321000",
          "2024-12-09T01:46:57.321000",
          "2024-12-09T01:46:59.921000",
          "2024-12-09T01:46:59.921000",
          "2024-12-09T01:46:59.921000",
          "2024-12-09T01:46:59.921000",
          "2024-12-09T01:47:02.123000",
          "2024-12-09T01:47:02.123000",
          "2024-12-09T01:47:02.123000",
          "2024-12-09T01:47:02.123000",
          "2024-12-09T01:47:04.324000",
          "2024-12-09T01:47:04.324000",
          "2024-12-09T01:47:04.324000",
          "2024-12-09T01:47:04.324000",
          "2024-12-09T01:47:06.526000",
          "2024-12-09T01:47:06.526000",
          "2024-12-09T01:47:06.526000",
          "2024-12-09T01:47:06.526000",
          "2024-12-09T01:47:08.727000",
          "2024-12-09T01:47:08.727000",
          "2024-12-09T01:47:08.727000",
          "2024-12-09T01:47:08.727000",
          "2024-12-09T01:47:11.329000",
          "2024-12-09T01:47:11.329000",
          "2024-12-09T01:47:11.329000",
          "2024-12-09T01:47:11.329000",
          "2024-12-09T01:47:14.131000",
          "2024-12-09T01:47:14.131000",
          "2024-12-09T01:47:14.131000",
          "2024-12-09T01:47:14.131000",
          "2024-12-09T01:47:18.534000",
          "2024-12-09T01:47:18.534000",
          "2024-12-09T01:47:18.534000",
          "2024-12-09T01:47:18.534000",
          "2024-12-09T01:47:21.736000",
          "2024-12-09T01:47:21.736000",
          "2024-12-09T01:47:21.736000",
          "2024-12-09T01:47:21.736000",
          "2024-12-09T01:47:56.558000",
          "2024-12-09T01:47:56.558000",
          "2024-12-09T01:47:56.558000",
          "2024-12-09T01:47:56.558000",
          "2024-12-09T01:48:49.191000",
          "2024-12-09T01:48:49.191000",
          "2024-12-09T01:48:49.191000",
          "2024-12-09T01:48:49.191000",
          "2024-12-09T01:48:59.397000",
          "2024-12-09T01:48:59.397000",
          "2024-12-09T01:48:59.397000",
          "2024-12-09T01:48:59.397000",
          "2024-12-09T01:49:03.200000",
          "2024-12-09T01:49:03.200000",
          "2024-12-09T01:49:03.200000",
          "2024-12-09T01:49:03.200000",
          "2024-12-09T01:49:07.203000",
          "2024-12-09T01:49:07.203000",
          "2024-12-09T01:49:07.203000",
          "2024-12-09T01:49:07.203000",
          "2024-12-09T01:49:10.805000",
          "2024-12-09T01:49:10.805000",
          "2024-12-09T01:49:10.805000",
          "2024-12-09T01:49:10.805000",
          "2024-12-09T01:49:14.207000",
          "2024-12-09T01:49:14.207000",
          "2024-12-09T01:49:14.207000",
          "2024-12-09T01:49:14.207000",
          "2024-12-09T01:49:17.008000",
          "2024-12-09T01:49:17.008000",
          "2024-12-09T01:49:17.008000",
          "2024-12-09T01:49:17.008000",
          "2024-12-09T01:49:20.010000",
          "2024-12-09T01:49:20.010000",
          "2024-12-09T01:49:20.010000",
          "2024-12-09T01:49:20.010000",
          "2024-12-09T01:49:22.611000",
          "2024-12-09T01:49:22.611000",
          "2024-12-09T01:49:22.611000",
          "2024-12-09T01:49:22.611000",
          "2024-12-09T01:49:26.014000",
          "2024-12-09T01:49:26.014000",
          "2024-12-09T01:49:26.014000",
          "2024-12-09T01:49:26.014000",
          "2024-12-09T01:49:29.217000",
          "2024-12-09T01:49:29.217000",
          "2024-12-09T01:49:29.217000",
          "2024-12-09T01:49:29.217000",
          "2024-12-09T01:49:33.018000",
          "2024-12-09T01:49:33.018000",
          "2024-12-09T01:49:33.018000",
          "2024-12-09T01:49:33.018000",
          "2024-12-09T01:49:36.019000",
          "2024-12-09T01:49:36.019000",
          "2024-12-09T01:49:36.019000",
          "2024-12-09T01:49:36.019000",
          "2024-12-09T01:49:39.423000",
          "2024-12-09T01:49:39.423000",
          "2024-12-09T01:49:39.423000",
          "2024-12-09T01:49:39.423000",
          "2024-12-09T01:49:50.630000",
          "2024-12-09T01:49:50.630000",
          "2024-12-09T01:49:50.630000",
          "2024-12-09T01:49:50.630000",
          "2024-12-09T01:49:54.832000",
          "2024-12-09T01:49:54.832000",
          "2024-12-09T01:49:54.832000",
          "2024-12-09T01:49:54.832000",
          "2024-12-09T01:49:59.836000",
          "2024-12-09T01:49:59.836000",
          "2024-12-09T01:49:59.836000",
          "2024-12-09T01:49:59.836000",
          "2024-12-09T01:50:05.041000",
          "2024-12-09T01:50:05.041000",
          "2024-12-09T01:50:05.041000",
          "2024-12-09T01:50:05.041000",
          "2024-12-09T01:50:10.443000",
          "2024-12-09T01:50:10.443000",
          "2024-12-09T01:50:10.443000",
          "2024-12-09T01:50:10.443000",
          "2024-12-09T01:50:18.248000",
          "2024-12-09T01:50:18.248000",
          "2024-12-09T01:50:18.248000",
          "2024-12-09T01:50:18.248000",
          "2024-12-09T01:50:57.873000",
          "2024-12-09T01:50:57.873000",
          "2024-12-09T01:50:57.873000",
          "2024-12-09T01:50:57.873000",
          "2024-12-09T01:51:08.079000",
          "2024-12-09T01:51:08.079000",
          "2024-12-09T01:51:08.079000",
          "2024-12-09T01:51:08.079000",
          "2024-12-09T01:51:17.286000",
          "2024-12-09T01:51:17.286000",
          "2024-12-09T01:51:17.286000",
          "2024-12-09T01:51:17.286000",
          "2024-12-09T01:51:26.091000",
          "2024-12-09T01:51:26.091000",
          "2024-12-09T01:51:26.091000",
          "2024-12-09T01:51:26.091000",
          "2024-12-09T01:51:35.098000",
          "2024-12-09T01:51:35.098000",
          "2024-12-09T01:51:35.098000",
          "2024-12-09T01:51:35.098000",
          "2024-12-09T01:52:06.517000",
          "2024-12-09T01:52:06.517000",
          "2024-12-09T01:52:06.517000",
          "2024-12-09T01:52:06.517000",
          "2024-12-09T01:52:16.524000",
          "2024-12-09T01:52:16.524000",
          "2024-12-09T01:52:16.524000",
          "2024-12-09T01:52:16.524000",
          "2024-12-09T01:52:23.928000",
          "2024-12-09T01:52:23.928000",
          "2024-12-09T01:52:23.928000",
          "2024-12-09T01:52:23.928000",
          "2024-12-09T01:52:32.333000",
          "2024-12-09T01:52:32.333000",
          "2024-12-09T01:52:32.333000",
          "2024-12-09T01:52:32.333000",
          "2024-12-09T01:52:40.339000",
          "2024-12-09T01:52:40.339000",
          "2024-12-09T01:52:40.339000",
          "2024-12-09T01:52:40.339000",
          "2024-12-09T01:52:52.545000",
          "2024-12-09T01:52:52.545000",
          "2024-12-09T01:52:52.545000",
          "2024-12-09T01:52:52.545000",
          "2024-12-09T01:53:04.953000",
          "2024-12-09T01:53:04.953000",
          "2024-12-09T01:53:04.953000",
          "2024-12-09T01:53:04.953000",
          "2024-12-09T01:53:23.966000",
          "2024-12-09T01:53:23.966000",
          "2024-12-09T01:53:23.966000",
          "2024-12-09T01:53:23.966000",
          "2024-12-09T01:53:58.588000",
          "2024-12-09T01:53:58.588000",
          "2024-12-09T01:53:58.588000",
          "2024-12-09T01:53:58.588000",
          "2024-12-09T01:54:19.604000",
          "2024-12-09T01:54:19.604000",
          "2024-12-09T01:54:19.604000",
          "2024-12-09T01:54:19.604000",
          "2024-12-09T01:54:35.612000",
          "2024-12-09T01:54:35.612000",
          "2024-12-09T01:54:35.612000",
          "2024-12-09T01:54:35.612000",
          "2024-12-09T01:56:33.487000",
          "2024-12-09T01:56:33.487000",
          "2024-12-09T01:56:33.487000",
          "2024-12-09T01:56:33.487000",
          "2024-12-09T01:56:52.100000",
          "2024-12-09T01:56:52.100000",
          "2024-12-09T01:56:52.100000",
          "2024-12-09T01:56:52.100000",
          "2024-12-09T01:57:26.122000",
          "2024-12-09T01:57:26.122000",
          "2024-12-09T01:57:26.122000",
          "2024-12-09T01:57:26.122000",
          "2024-12-09T01:58:06.549000",
          "2024-12-09T01:58:06.549000",
          "2024-12-09T01:58:06.549000",
          "2024-12-09T01:58:06.549000",
          "2024-12-09T01:59:20.799000",
          "2024-12-09T01:59:20.799000",
          "2024-12-09T01:59:20.799000",
          "2024-12-09T01:59:20.799000",
          "2024-12-09T02:03:23.149000",
          "2024-12-09T02:03:23.149000",
          "2024-12-09T02:03:23.149000",
          "2024-12-09T02:03:23.149000",
          "2024-12-09T02:03:24.750000",
          "2024-12-09T02:03:24.750000",
          "2024-12-09T02:03:24.750000",
          "2024-12-09T02:03:24.750000",
          "2024-12-09T02:03:25.751000",
          "2024-12-09T02:03:25.751000",
          "2024-12-09T02:03:25.751000",
          "2024-12-09T02:03:25.751000",
          "2024-12-09T02:03:27.152000",
          "2024-12-09T02:03:27.152000",
          "2024-12-09T02:03:27.152000",
          "2024-12-09T02:03:27.152000",
          "2024-12-09T02:03:29.553000",
          "2024-12-09T02:03:29.553000",
          "2024-12-09T02:03:29.553000",
          "2024-12-09T02:03:29.553000",
          "2024-12-09T02:03:31.754000",
          "2024-12-09T02:03:31.754000",
          "2024-12-09T02:03:31.754000",
          "2024-12-09T02:03:31.754000",
          "2024-12-09T02:03:38.758000",
          "2024-12-09T02:03:38.758000",
          "2024-12-09T02:03:38.758000",
          "2024-12-09T02:03:38.758000",
          "2024-12-09T02:04:03.175000",
          "2024-12-09T02:04:03.175000",
          "2024-12-09T02:04:03.175000",
          "2024-12-09T02:04:03.175000",
          "2024-12-09T02:04:09.179000",
          "2024-12-09T02:04:09.179000",
          "2024-12-09T02:04:09.179000",
          "2024-12-09T02:04:09.179000",
          "2024-12-09T02:04:11.782000",
          "2024-12-09T02:04:11.782000",
          "2024-12-09T02:04:11.782000",
          "2024-12-09T02:04:11.782000",
          "2024-12-09T02:04:16.784000",
          "2024-12-09T02:04:16.784000",
          "2024-12-09T02:04:16.784000",
          "2024-12-09T02:04:16.784000",
          "2024-12-09T02:04:20.385000",
          "2024-12-09T02:04:20.385000",
          "2024-12-09T02:04:20.385000",
          "2024-12-09T02:04:20.385000",
          "2024-12-09T02:04:23.587000",
          "2024-12-09T02:04:23.587000",
          "2024-12-09T02:04:23.587000",
          "2024-12-09T02:04:23.587000",
          "2024-12-09T02:04:25.388000",
          "2024-12-09T02:04:25.388000",
          "2024-12-09T02:04:25.388000",
          "2024-12-09T02:04:25.388000",
          "2024-12-09T02:04:29.391000",
          "2024-12-09T02:04:29.391000",
          "2024-12-09T02:04:29.391000",
          "2024-12-09T02:04:29.391000",
          "2024-12-09T02:04:31.793000",
          "2024-12-09T02:04:31.793000",
          "2024-12-09T02:04:31.793000",
          "2024-12-09T02:04:31.793000",
          "2024-12-09T02:04:33.993000",
          "2024-12-09T02:04:33.993000",
          "2024-12-09T02:04:33.993000",
          "2024-12-09T02:04:33.993000",
          "2024-12-09T02:04:36.460000",
          "2024-12-09T02:04:36.460000",
          "2024-12-09T02:04:36.460000",
          "2024-12-09T02:04:36.460000",
          "2024-12-09T02:04:38.862000",
          "2024-12-09T02:04:38.862000",
          "2024-12-09T02:04:38.862000",
          "2024-12-09T02:04:38.862000",
          "2024-12-09T02:04:41.479000",
          "2024-12-09T02:04:41.479000",
          "2024-12-09T02:04:41.479000",
          "2024-12-09T02:04:41.479000",
          "2024-12-09T02:04:43.281000",
          "2024-12-09T02:04:43.281000",
          "2024-12-09T02:04:43.281000",
          "2024-12-09T02:04:43.281000",
          "2024-12-09T02:04:47.882000",
          "2024-12-09T02:04:47.882000",
          "2024-12-09T02:04:47.882000",
          "2024-12-09T02:04:47.882000",
          "2024-12-09T02:05:00.696000",
          "2024-12-09T02:05:00.696000",
          "2024-12-09T02:05:00.696000",
          "2024-12-09T02:05:00.696000",
          "2024-12-09T02:05:03.893000",
          "2024-12-09T02:05:03.893000",
          "2024-12-09T02:05:03.893000",
          "2024-12-09T02:05:03.893000",
          "2024-12-09T02:05:08.496000",
          "2024-12-09T02:05:08.496000",
          "2024-12-09T02:05:08.496000",
          "2024-12-09T02:05:08.496000",
          "2024-12-09T02:05:11.499000",
          "2024-12-09T02:05:11.499000",
          "2024-12-09T02:05:11.499000",
          "2024-12-09T02:05:11.499000",
          "2024-12-09T02:05:14.500000",
          "2024-12-09T02:05:14.500000",
          "2024-12-09T02:05:14.500000",
          "2024-12-09T02:05:14.500000",
          "2024-12-09T02:05:17.102000",
          "2024-12-09T02:05:17.102000",
          "2024-12-09T02:05:17.102000",
          "2024-12-09T02:05:17.102000",
          "2024-12-09T02:05:19.904000",
          "2024-12-09T02:05:19.904000",
          "2024-12-09T02:05:19.904000",
          "2024-12-09T02:05:19.904000",
          "2024-12-09T02:05:21.507000",
          "2024-12-09T02:05:21.507000",
          "2024-12-09T02:05:21.507000",
          "2024-12-09T02:05:21.507000",
          "2024-12-09T02:05:24.907000",
          "2024-12-09T02:05:24.907000",
          "2024-12-09T02:05:24.907000",
          "2024-12-09T02:05:24.907000",
          "2024-12-09T02:05:27.710000",
          "2024-12-09T02:05:27.710000",
          "2024-12-09T02:05:27.710000",
          "2024-12-09T02:05:27.710000",
          "2024-12-09T02:05:30.511000",
          "2024-12-09T02:05:30.511000",
          "2024-12-09T02:05:30.511000",
          "2024-12-09T02:05:30.511000",
          "2024-12-09T02:05:33.713000",
          "2024-12-09T02:05:33.713000",
          "2024-12-09T02:05:33.713000",
          "2024-12-09T02:05:33.713000",
          "2024-12-09T02:05:37.716000",
          "2024-12-09T02:05:37.716000",
          "2024-12-09T02:05:37.716000",
          "2024-12-09T02:05:37.716000",
          "2024-12-09T02:05:40.919000",
          "2024-12-09T02:05:40.919000",
          "2024-12-09T02:05:40.919000",
          "2024-12-09T02:05:40.919000",
          "2024-12-09T02:05:45.921000",
          "2024-12-09T02:05:45.921000",
          "2024-12-09T02:05:45.921000",
          "2024-12-09T02:05:45.921000",
          "2024-12-09T02:05:52.526000",
          "2024-12-09T02:05:52.526000",
          "2024-12-09T02:05:52.526000",
          "2024-12-09T02:05:52.526000",
          "2024-12-09T02:06:00.733000",
          "2024-12-09T02:06:00.733000",
          "2024-12-09T02:06:00.733000",
          "2024-12-09T02:06:00.733000",
          "2024-12-09T02:06:51.962000",
          "2024-12-09T02:06:51.962000",
          "2024-12-09T02:06:51.962000",
          "2024-12-09T02:06:51.962000",
          "2024-12-09T02:07:47.197000",
          "2024-12-09T02:07:47.197000",
          "2024-12-09T02:07:47.197000",
          "2024-12-09T02:07:47.197000",
          "2024-12-09T02:08:07.012000",
          "2024-12-09T02:08:07.012000",
          "2024-12-09T02:08:07.012000",
          "2024-12-09T02:08:07.012000",
          "2024-12-09T02:08:27.223000",
          "2024-12-09T02:08:27.223000",
          "2024-12-09T02:08:27.223000",
          "2024-12-09T02:08:27.223000",
          "2024-12-09T02:08:50.438000",
          "2024-12-09T02:08:50.438000",
          "2024-12-09T02:08:50.438000",
          "2024-12-09T02:08:50.438000",
          "2024-12-09T02:09:44.672000",
          "2024-12-09T02:09:44.672000",
          "2024-12-09T02:09:44.672000",
          "2024-12-09T02:09:44.672000",
          "2024-12-09T02:12:48.991000",
          "2024-12-09T02:12:48.991000",
          "2024-12-09T02:12:48.991000",
          "2024-12-09T02:12:48.991000",
          "2024-12-09T02:13:18.009000",
          "2024-12-09T02:13:18.009000",
          "2024-12-09T02:13:18.009000",
          "2024-12-09T02:13:18.009000",
          "2024-12-09T02:14:05.439000",
          "2024-12-09T02:14:05.439000",
          "2024-12-09T02:14:05.439000",
          "2024-12-09T02:14:05.439000",
          "2024-12-09T02:14:47.270000",
          "2024-12-09T02:14:47.270000",
          "2024-12-09T02:14:47.270000",
          "2024-12-09T02:14:47.270000",
          "2024-12-09T02:15:56.713000",
          "2024-12-09T02:15:56.713000",
          "2024-12-09T02:15:56.713000",
          "2024-12-09T02:15:56.713000",
          "2024-12-09T02:17:15.963000",
          "2024-12-09T02:17:15.963000",
          "2024-12-09T02:17:15.963000",
          "2024-12-09T02:17:15.963000",
          "2024-12-09T02:18:44.017000",
          "2024-12-09T02:18:44.017000",
          "2024-12-09T02:18:44.017000",
          "2024-12-09T02:18:44.017000",
          "2024-12-09T02:20:28.086000",
          "2024-12-09T02:20:28.086000",
          "2024-12-09T02:20:28.086000",
          "2024-12-09T02:20:28.086000",
          "2024-12-09T02:23:11.987000",
          "2024-12-09T02:23:11.987000",
          "2024-12-09T02:23:11.987000",
          "2024-12-09T02:23:11.987000"
         ],
         "y": [
          158.504,
          159.41299999999998,
          160.3886,
          161.37859999999998,
          162.29840000000002,
          161.2598,
          160.3544,
          161.3282,
          160.304,
          159.39679999999998,
          159.39679999999998,
          159.39679999999998,
          159.39679999999998,
          158.4878,
          158.4878,
          158.4878,
          158.4878,
          157.46359999999999,
          157.46359999999999,
          157.46359999999999,
          157.46359999999999,
          156.551,
          156.551,
          156.551,
          156.551,
          155.58980000000003,
          155.58980000000003,
          155.58980000000003,
          155.58980000000003,
          154.61239999999998,
          154.61239999999998,
          154.61239999999998,
          154.61239999999998,
          153.48739999999998,
          153.48739999999998,
          153.48739999999998,
          153.48739999999998,
          152.5442,
          152.5442,
          152.5442,
          152.5442,
          151.628,
          151.628,
          151.628,
          151.628,
          150.71179999999998,
          150.71179999999998,
          150.71179999999998,
          150.71179999999998,
          149.7542,
          149.7542,
          149.7542,
          149.7542,
          148.85060000000001,
          148.85060000000001,
          148.85060000000001,
          148.85060000000001,
          148.2746,
          148.2746,
          148.2746,
          148.2746,
          148.055,
          148.055,
          148.055,
          148.055,
          149.0432,
          149.0432,
          149.0432,
          149.0432,
          149.9504,
          149.9504,
          149.9504,
          149.9504,
          150.9548,
          150.9548,
          150.9548,
          150.9548,
          151.9466,
          151.9466,
          151.9466,
          151.9466,
          152.94019999999998,
          152.94019999999998,
          152.94019999999998,
          152.94019999999998,
          153.8456,
          153.8456,
          153.8456,
          153.8456,
          154.91660000000002,
          154.91660000000002,
          154.91660000000002,
          154.91660000000002,
          153.9806,
          153.9806,
          153.9806,
          153.9806,
          153.014,
          153.014,
          153.014,
          153.014,
          151.9898,
          151.9898,
          151.9898,
          151.9898,
          151.0682,
          151.0682,
          151.0682,
          151.0682,
          150.14659999999998,
          150.14659999999998,
          150.14659999999998,
          150.14659999999998,
          149.23760000000001,
          149.23760000000001,
          149.23760000000001,
          149.23760000000001,
          148.3142,
          148.3142,
          148.3142,
          148.3142,
          147.1226,
          147.1226,
          147.1226,
          147.1226,
          146.165,
          146.165,
          146.165,
          146.165,
          145.2074,
          145.2074,
          145.2074,
          145.2074,
          144.2894,
          144.2894,
          144.2894,
          144.2894,
          143.195,
          143.195,
          143.195,
          143.195,
          144.23899999999998,
          144.23899999999998,
          144.23899999999998,
          144.23899999999998,
          145.1426,
          145.1426,
          145.1426,
          145.1426,
          146.0588,
          146.0588,
          146.0588,
          146.0588,
          147.0434,
          147.0434,
          147.0434,
          147.0434,
          148.028,
          148.028,
          148.028,
          148.028,
          148.9604,
          148.9604,
          148.9604,
          148.9604,
          149.92159999999998,
          149.92159999999998,
          149.92159999999998,
          149.92159999999998,
          150.9116,
          150.9116,
          150.9116,
          150.9116,
          151.889,
          151.889,
          151.889,
          151.889,
          152.807,
          152.807,
          152.807,
          152.807,
          153.7268,
          153.7268,
          153.7268,
          153.7268,
          154.67360000000002,
          154.67360000000002,
          154.67360000000002,
          154.67360000000002,
          155.65099999999998,
          155.65099999999998,
          155.65099999999998,
          155.65099999999998,
          154.6574,
          154.6574,
          154.6574,
          154.6574,
          153.75560000000002,
          153.75560000000002,
          153.75560000000002,
          153.75560000000002,
          152.70440000000002,
          152.70440000000002,
          152.70440000000002,
          152.70440000000002,
          151.78640000000001,
          151.78640000000001,
          151.78640000000001,
          151.78640000000001,
          150.7262,
          150.7262,
          150.7262,
          150.7262,
          149.64079999999998,
          149.64079999999998,
          149.64079999999998,
          149.64079999999998,
          148.658,
          148.658,
          148.658,
          148.658,
          147.75619999999998,
          147.75619999999998,
          147.75619999999998,
          147.75619999999998,
          146.80220000000003,
          146.80220000000003,
          146.80220000000003,
          146.80220000000003,
          145.8086,
          145.8086,
          145.8086,
          145.8086,
          144.8834,
          144.8834,
          144.8834,
          144.8834,
          145.9004,
          145.9004,
          145.9004,
          145.9004,
          144.9734,
          144.9734,
          144.9734,
          144.9734,
          144.0086,
          144.0086,
          144.0086,
          144.0086,
          143.0564,
          143.0564,
          143.0564,
          143.0564,
          143.98160000000001,
          143.98160000000001,
          143.98160000000001,
          143.98160000000001,
          144.9212,
          144.9212,
          144.9212,
          144.9212,
          145.8482,
          145.8482,
          145.8482,
          145.8482,
          144.8564,
          144.8564,
          144.8564,
          144.8564,
          143.9312,
          143.9312,
          143.9312,
          143.9312,
          142.9952,
          142.9952,
          142.9952,
          142.9952,
          142.05919999999998,
          142.05919999999998,
          142.05919999999998,
          142.05919999999998,
          141.0872,
          141.0872,
          141.0872,
          141.0872,
          139.9982,
          139.9982,
          139.9982,
          139.9982,
          138.9038,
          138.9038,
          138.9038,
          138.9038,
          137.9426,
          137.9426,
          137.9426,
          137.9426,
          136.985,
          136.985,
          136.985,
          136.985,
          136.0058,
          136.0058,
          136.0058,
          136.0058,
          135.0986,
          135.0986,
          135.0986,
          135.0986,
          134.1032,
          134.1032,
          134.1032,
          134.1032,
          133.133,
          133.133,
          133.133,
          133.133,
          132.22039999999998,
          132.22039999999998,
          132.22039999999998,
          132.22039999999998,
          131.2862,
          131.2862,
          131.2862,
          131.2862,
          130.3556,
          130.3556,
          130.3556,
          130.3556,
          129.35660000000001,
          129.35660000000001,
          129.35660000000001,
          129.35660000000001,
          128.4404,
          128.4404,
          128.4404,
          128.4404,
          127.526,
          127.526,
          127.526,
          127.526,
          126.6152,
          126.6152,
          126.6152,
          126.6152,
          127.5566,
          127.5566,
          127.5566,
          127.5566,
          126.635,
          126.635,
          126.635,
          126.635,
          127.5368,
          127.5368,
          127.5368,
          127.5368,
          128.4404,
          128.4404,
          128.4404,
          128.4404,
          129.3656,
          129.3656,
          129.3656,
          129.3656,
          130.3142,
          130.3142,
          130.3142,
          130.3142,
          131.25560000000002,
          131.25560000000002,
          131.25560000000002,
          131.25560000000002,
          130.2314,
          130.2314,
          130.2314,
          130.2314,
          129.1928,
          129.1928,
          129.1928,
          129.1928,
          128.24779999999998,
          128.24779999999998,
          128.24779999999998,
          128.24779999999998,
          127.2092,
          127.2092,
          127.2092,
          127.2092,
          126.25160000000001,
          126.25160000000001,
          126.25160000000001,
          126.25160000000001,
          127.19839999999999,
          127.19839999999999,
          127.19839999999999,
          127.19839999999999,
          128.1182,
          128.1182,
          128.1182,
          128.1182,
          127.1876,
          127.1876,
          127.1876,
          127.1876,
          126.2804,
          126.2804,
          126.2804,
          126.2804,
          125.3372,
          125.3372,
          125.3372,
          125.3372,
          124.36699999999999,
          124.36699999999999,
          124.36699999999999,
          124.36699999999999,
          123.4562,
          123.4562,
          123.4562,
          123.4562,
          122.1764,
          122.1764,
          122.1764,
          122.1764,
          121.1558,
          121.1558,
          121.1558,
          121.1558,
          120.21079999999999,
          120.21079999999999,
          120.21079999999999,
          120.21079999999999,
          119.26939999999999,
          119.26939999999999,
          119.26939999999999,
          119.26939999999999,
          118.30460000000001,
          118.30460000000001,
          118.30460000000001,
          118.30460000000001,
          117.3524,
          117.3524,
          117.3524,
          117.3524,
          116.22200000000001,
          116.22200000000001,
          116.22200000000001,
          116.22200000000001,
          117.6386,
          117.6386,
          117.6386,
          117.6386,
          116.66839999999999,
          116.66839999999999,
          116.66839999999999,
          116.66839999999999,
          117.5864,
          117.5864,
          117.5864,
          117.5864,
          118.54220000000001,
          118.54220000000001,
          118.54220000000001,
          118.54220000000001,
          119.4746,
          119.4746,
          119.4746,
          119.4746,
          120.39259999999999,
          120.39259999999999,
          120.39259999999999,
          120.39259999999999,
          121.31960000000001,
          121.31960000000001,
          121.31960000000001,
          121.31960000000001,
          122.279,
          122.279,
          122.279,
          122.279,
          123.1826,
          123.1826,
          123.1826,
          123.1826,
          124.1186,
          124.1186,
          124.1186,
          124.1186,
          125.0564,
          125.0564,
          125.0564,
          125.0564,
          125.98700000000001,
          125.98700000000001,
          125.98700000000001,
          125.98700000000001,
          126.9014,
          126.9014,
          126.9014,
          126.9014,
          127.8572,
          127.8572,
          127.8572,
          127.8572,
          128.8256,
          128.8256,
          128.8256,
          128.8256,
          129.7454,
          129.7454,
          129.7454,
          129.7454,
          130.65800000000002,
          130.65800000000002,
          130.65800000000002,
          130.65800000000002,
          131.72,
          131.72,
          131.72,
          131.72,
          132.6578,
          132.6578,
          132.6578,
          132.6578,
          133.57760000000002,
          133.57760000000002,
          133.57760000000002,
          133.57760000000002,
          134.4884,
          134.4884,
          134.4884,
          134.4884,
          135.41000000000003,
          135.41000000000003,
          135.41000000000003,
          135.41000000000003,
          136.32260000000002,
          136.32260000000002,
          136.32260000000002,
          136.32260000000002,
          137.23700000000002,
          137.23700000000002,
          137.23700000000002,
          137.23700000000002,
          138.245,
          138.245,
          138.245,
          138.245,
          139.16299999999998,
          139.16299999999998,
          139.16299999999998,
          139.16299999999998,
          140.0828,
          140.0828,
          140.0828,
          140.0828,
          141.0872,
          141.0872,
          141.0872,
          141.0872,
          140.1782,
          140.1782,
          140.1782,
          140.1782,
          139.2116,
          139.2116,
          139.2116,
          139.2116,
          138.2576,
          138.2576,
          138.2576,
          138.2576,
          137.21359999999999,
          137.21359999999999,
          137.21359999999999,
          137.21359999999999,
          136.2434,
          136.2434,
          136.2434,
          136.2434,
          135.3218,
          135.3218,
          135.3218,
          135.3218,
          134.3894,
          134.3894,
          134.3894,
          134.3894,
          133.41559999999998,
          133.41559999999998,
          133.41559999999998,
          133.41559999999998,
          134.411,
          134.411,
          134.411,
          134.411,
          135.3218,
          135.3218,
          135.3218,
          135.3218,
          136.256,
          136.256,
          136.256,
          136.256,
          137.3414,
          137.3414,
          137.3414,
          137.3414,
          138.281,
          138.281,
          138.281,
          138.281,
          139.2224,
          139.2224,
          139.2224,
          139.2224,
          140.2376,
          140.2376,
          140.2376,
          140.2376,
          141.17180000000002,
          141.17180000000002,
          141.17180000000002,
          141.17180000000002,
          142.1204,
          142.1204,
          142.1204,
          142.1204,
          143.03119999999998,
          143.03119999999998,
          143.03119999999998,
          143.03119999999998,
          144.05900000000003,
          144.05900000000003,
          144.05900000000003,
          144.05900000000003,
          144.98600000000002,
          144.98600000000002,
          144.98600000000002,
          144.98600000000002,
          145.91299999999998,
          145.91299999999998,
          145.91299999999998,
          145.91299999999998,
          144.8834,
          144.8834,
          144.8834,
          144.8834,
          145.8086,
          145.8086,
          145.8086,
          145.8086,
          146.7212,
          146.7212,
          146.7212,
          146.7212,
          147.6482,
          147.6482,
          147.6482,
          147.6482,
          148.5608,
          148.5608,
          148.5608,
          148.5608,
          149.5166,
          149.5166,
          149.5166,
          149.5166,
          150.4436,
          150.4436,
          150.4436,
          150.4436,
          149.3762,
          149.3762,
          149.3762,
          149.3762,
          148.397,
          148.397,
          148.397,
          148.397,
          147.4196,
          147.4196,
          147.4196,
          147.4196,
          146.4962,
          146.4962,
          146.4962,
          146.4962,
          147.4052,
          147.4052,
          147.4052,
          147.4052,
          146.37560000000002,
          146.37560000000002,
          146.37560000000002,
          146.37560000000002,
          147.2846,
          147.2846,
          147.2846,
          147.2846,
          146.3234,
          146.3234,
          146.3234,
          146.3234,
          145.4018,
          145.4018,
          145.4018,
          145.4018,
          146.3234,
          146.3234,
          146.3234,
          146.3234,
          147.2576,
          147.2576,
          147.2576,
          147.2576,
          148.17919999999998,
          148.17919999999998,
          148.17919999999998,
          148.17919999999998,
          149.1692,
          149.1692,
          149.1692,
          149.1692,
          150.07639999999998,
          150.07639999999998,
          150.07639999999998,
          150.07639999999998,
          150.998,
          150.998,
          150.998,
          150.998,
          151.9178,
          151.9178,
          151.9178,
          151.9178,
          152.82319999999999,
          152.82319999999999,
          152.82319999999999,
          152.82319999999999,
          153.905,
          153.905,
          153.905,
          153.905,
          155.06779999999998,
          155.06779999999998,
          155.06779999999998,
          155.06779999999998,
          156.317,
          156.317,
          156.317,
          156.317,
          157.4006,
          157.4006,
          157.4006,
          157.4006,
          158.342,
          158.342,
          158.342,
          158.342,
          159.26719999999997,
          159.26719999999997,
          159.26719999999997,
          159.26719999999997,
          160.20499999999998,
          160.20499999999998,
          160.20499999999998,
          160.20499999999998,
          161.159,
          161.159,
          161.159,
          161.159,
          162.0932,
          162.0932,
          162.0932,
          162.0932,
          163.04180000000002,
          163.04180000000002,
          163.04180000000002,
          163.04180000000002,
          162.12740000000002,
          162.12740000000002,
          162.12740000000002,
          162.12740000000002,
          161.22560000000001,
          161.22560000000001,
          161.22560000000001,
          161.22560000000001,
          160.27159999999998,
          160.27159999999998,
          160.27159999999998,
          160.27159999999998,
          159.2996,
          159.2996,
          159.2996,
          159.2996,
          158.37439999999998,
          158.37439999999998,
          158.37439999999998,
          158.37439999999998,
          157.46359999999999,
          157.46359999999999,
          157.46359999999999,
          157.46359999999999,
          156.5042,
          156.5042,
          156.5042,
          156.5042,
          155.58980000000003,
          155.58980000000003,
          155.58980000000003,
          155.58980000000003,
          154.688,
          154.688,
          154.688,
          154.688,
          153.7106,
          153.7106,
          153.7106,
          153.7106,
          152.64679999999998,
          152.64679999999998,
          152.64679999999998,
          152.64679999999998,
          151.7432,
          151.7432,
          151.7432,
          151.7432,
          150.755,
          150.755,
          150.755,
          150.755,
          151.6712,
          151.6712,
          151.6712,
          151.6712,
          150.52820000000003,
          150.52820000000003,
          150.52820000000003,
          150.52820000000003,
          149.4608,
          149.4608,
          149.4608,
          149.4608,
          148.53379999999999,
          148.53379999999999,
          148.53379999999999,
          148.53379999999999,
          147.56719999999999,
          147.56719999999999,
          147.56719999999999,
          147.56719999999999,
          146.5088,
          146.5088,
          146.5088,
          146.5088,
          145.56019999999998,
          145.56019999999998,
          145.56019999999998,
          145.56019999999998,
          144.6116,
          144.6116,
          144.6116,
          144.6116,
          143.6252,
          143.6252,
          143.6252,
          143.6252,
          142.68019999999999,
          142.68019999999999,
          142.68019999999999,
          142.68019999999999,
          141.73700000000002,
          141.73700000000002,
          141.73700000000002,
          141.73700000000002,
          140.8316,
          140.8316,
          140.8316,
          140.8316,
          139.9136,
          139.9136,
          139.9136,
          139.9136,
          138.9866,
          138.9866,
          138.9866,
          138.9866,
          138.083,
          138.083,
          138.083,
          138.083,
          139.0208,
          139.0208,
          139.0208,
          139.0208,
          140.02159999999998,
          140.02159999999998,
          140.02159999999998,
          140.02159999999998,
          140.9414,
          140.9414,
          140.9414,
          140.9414,
          141.8612,
          141.8612,
          141.8612,
          141.8612,
          142.76839999999999,
          142.76839999999999,
          142.76839999999999,
          142.76839999999999,
          143.9564,
          143.9564,
          143.9564,
          143.9564,
          144.869,
          144.869,
          144.869,
          144.869,
          145.8356,
          145.8356,
          145.8356,
          145.8356,
          146.7482,
          146.7482,
          146.7482,
          146.7482,
          147.66260000000003,
          147.66260000000003,
          147.66260000000003,
          147.66260000000003,
          148.58960000000002,
          148.58960000000002,
          148.58960000000002,
          148.58960000000002,
          149.54360000000003,
          149.54360000000003,
          149.54360000000003,
          149.54360000000003,
          150.485,
          150.485,
          150.485,
          150.485,
          151.4264,
          151.4264,
          151.4264,
          151.4264,
          152.4272,
          152.4272,
          152.4272,
          152.4272,
          153.33980000000003,
          153.33980000000003,
          153.33980000000003,
          153.33980000000003,
          154.25060000000002,
          154.25060000000002,
          154.25060000000002,
          154.25060000000002,
          155.1596,
          155.1596,
          155.1596,
          155.1596,
          156.0686,
          156.0686,
          156.0686,
          156.0686,
          156.9902,
          156.9902,
          156.9902,
          156.9902,
          157.8938,
          157.8938,
          157.8938,
          157.8938,
          156.94160000000002,
          156.94160000000002,
          156.94160000000002,
          156.94160000000002,
          157.8452,
          157.8452,
          157.8452,
          157.8452,
          158.7776,
          158.7776,
          158.7776,
          158.7776,
          159.692,
          159.692,
          159.692,
          159.692,
          160.6388,
          160.6388,
          160.6388,
          160.6388,
          161.6162,
          161.6162,
          161.6162,
          161.6162,
          162.66019999999997,
          162.66019999999997,
          162.66019999999997,
          162.66019999999997,
          163.6358,
          163.6358,
          163.6358,
          163.6358,
          164.6294,
          164.6294,
          164.6294,
          164.6294,
          165.61939999999998,
          165.61939999999998,
          165.61939999999998,
          165.61939999999998,
          166.775,
          166.775,
          166.775,
          166.775,
          167.82080000000002,
          167.82080000000002,
          167.82080000000002,
          167.82080000000002,
          168.7514,
          168.7514,
          168.7514,
          168.7514,
          167.5202,
          167.5202,
          167.5202,
          167.5202,
          166.6076,
          166.6076,
          166.6076,
          166.6076,
          165.5096,
          165.5096,
          165.5096,
          165.5096,
          164.3792,
          164.3792,
          164.3792,
          164.3792,
          163.46120000000002,
          163.46120000000002,
          163.46120000000002,
          163.46120000000002,
          162.4712,
          162.4712,
          162.4712,
          162.4712,
          161.4452,
          161.4452,
          161.4452,
          161.4452,
          160.53799999999998,
          160.53799999999998,
          160.53799999999998,
          160.53799999999998,
          159.5786,
          159.5786,
          159.5786,
          159.5786,
          158.648,
          158.648,
          158.648,
          158.648,
          157.7174,
          157.7174,
          157.7174,
          157.7174,
          156.6914,
          156.6914,
          156.6914,
          156.6914,
          155.72840000000002,
          155.72840000000002,
          155.72840000000002,
          155.72840000000002,
          154.6574,
          154.6574,
          154.6574,
          154.6574,
          153.5018,
          153.5018,
          153.5018,
          153.5018,
          154.61239999999998,
          154.61239999999998,
          154.61239999999998,
          154.61239999999998,
          155.6204,
          155.6204,
          155.6204,
          155.6204,
          156.551,
          156.551,
          156.551,
          156.551,
          157.5752,
          157.5752,
          157.5752,
          157.5752,
          158.504,
          158.504,
          158.504,
          158.504,
          159.4472,
          159.4472,
          159.4472,
          159.4472,
          160.3706,
          160.3706,
          160.3706,
          160.3706,
          161.3282,
          161.3282,
          161.3282,
          161.3282,
          162.3668,
          162.3668,
          162.3668,
          162.3668,
          163.26860000000002,
          163.26860000000002,
          163.26860000000002,
          163.26860000000002,
          164.183,
          164.183,
          164.183,
          164.183,
          165.0956,
          165.0956,
          165.0956,
          165.0956,
          166.0568,
          166.0568,
          166.0568,
          166.0568,
          166.9604,
          166.9604,
          166.9604,
          166.9604,
          167.89640000000003,
          167.89640000000003,
          167.89640000000003,
          167.89640000000003,
          168.80720000000002,
          168.80720000000002,
          168.80720000000002,
          168.80720000000002,
          169.8134,
          169.8134,
          169.8134,
          169.8134,
          168.80720000000002,
          168.80720000000002,
          168.80720000000002,
          168.80720000000002,
          169.71620000000001,
          169.71620000000001,
          169.71620000000001,
          169.71620000000001,
          170.6558,
          170.6558,
          170.6558,
          170.6558,
          171.6926,
          171.6926,
          171.6926,
          171.6926,
          170.6558,
          170.6558,
          170.6558,
          170.6558,
          169.754,
          169.754,
          169.754,
          169.754,
          168.67400000000004,
          168.67400000000004,
          168.67400000000004,
          168.67400000000004,
          167.7074,
          167.7074,
          167.7074,
          167.7074,
          166.793,
          166.793,
          166.793,
          166.793,
          165.8732,
          165.8732,
          165.8732,
          165.8732,
          164.8076,
          164.8076,
          164.8076,
          164.8076,
          163.778,
          163.778,
          163.778,
          163.778,
          162.76460000000003,
          162.76460000000003,
          162.76460000000003,
          162.76460000000003,
          161.78539999999998,
          161.78539999999998,
          161.78539999999998,
          161.78539999999998,
          160.8224,
          160.8224,
          160.8224,
          160.8224
         ]
        },
        {
         "line": {
          "color": "blue",
          "dash": "solid"
         },
         "mode": "lines",
         "name": "Distribution RWT",
         "opacity": 0.7,
         "type": "scatter",
         "x": [
          "2024-12-08T23:55:44.569000",
          "2024-12-08T23:55:48.572000",
          "2024-12-08T23:55:49.373000",
          "2024-12-08T23:55:50.374000",
          "2024-12-08T23:55:50.975000",
          "2024-12-08T23:55:51.574000",
          "2024-12-08T23:55:51.975000",
          "2024-12-08T23:55:52.375000",
          "2024-12-08T23:55:52.777000",
          "2024-12-08T23:55:53.177000",
          "2024-12-08T23:55:53.577000",
          "2024-12-08T23:55:53.976000",
          "2024-12-08T23:55:54.376000",
          "2024-12-08T23:55:54.978000",
          "2024-12-08T23:55:55.377000",
          "2024-12-08T23:55:55.777000",
          "2024-12-08T23:55:56.178000",
          "2024-12-08T23:55:56.579000",
          "2024-12-08T23:55:56.979000",
          "2024-12-08T23:55:57.378000",
          "2024-12-08T23:55:57.779000",
          "2024-12-08T23:55:58.179000",
          "2024-12-08T23:55:58.779000",
          "2024-12-08T23:55:59.581000",
          "2024-12-08T23:56:00.380000",
          "2024-12-08T23:56:01.381000",
          "2024-12-08T23:56:02.382000",
          "2024-12-08T23:56:03.385000",
          "2024-12-08T23:56:04.984000",
          "2024-12-08T23:56:06.384000",
          "2024-12-08T23:56:07.385000",
          "2024-12-08T23:56:10.387000",
          "2024-12-08T23:56:12.189000",
          "2024-12-08T23:56:15.590000",
          "2024-12-08T23:56:17.391000",
          "2024-12-08T23:56:18.393000",
          "2024-12-08T23:56:19.393000",
          "2024-12-08T23:56:20.394000",
          "2024-12-08T23:56:21.396000",
          "2024-12-08T23:56:22.396000",
          "2024-12-08T23:56:23.196000",
          "2024-12-08T23:56:23.996000",
          "2024-12-08T23:56:25.198000",
          "2024-12-08T23:56:25.797000",
          "2024-12-08T23:56:26.399000",
          "2024-12-08T23:56:27.198000",
          "2024-12-08T23:56:27.798000",
          "2024-12-08T23:56:28.399000",
          "2024-12-08T23:56:29.400000",
          "2024-12-08T23:56:30.200000",
          "2024-12-08T23:56:30.600000",
          "2024-12-08T23:56:31.403000",
          "2024-12-08T23:56:32.001000",
          "2024-12-08T23:56:32.801000",
          "2024-12-08T23:56:33.601000",
          "2024-12-08T23:56:34.403000",
          "2024-12-08T23:56:35.203000",
          "2024-12-08T23:56:36.404000",
          "2024-12-08T23:56:37.405000",
          "2024-12-08T23:56:38.205000",
          "2024-12-08T23:56:39.405000",
          "2024-12-08T23:56:41.209000",
          "2024-12-08T23:56:42.409000",
          "2024-12-08T23:56:44.008000",
          "2024-12-08T23:56:46.811000",
          "2024-12-08T23:56:48.209000",
          "2024-12-08T23:56:51.614000",
          "2024-12-08T23:56:54.014000",
          "2024-12-08T23:56:57.816000",
          "2024-12-08T23:57:02.420000",
          "2024-12-08T23:57:06.822000",
          "2024-12-08T23:57:10.226000",
          "2024-12-08T23:57:13.027000",
          "2024-12-08T23:57:15.228000",
          "2024-12-08T23:57:16.829000",
          "2024-12-08T23:57:19.231000",
          "2024-12-08T23:57:20.232000",
          "2024-12-08T23:57:21.832000",
          "2024-12-08T23:57:23.635000",
          "2024-12-08T23:57:24.835000",
          "2024-12-08T23:57:26.035000",
          "2024-12-08T23:57:27.240000",
          "2024-12-08T23:57:29.838000",
          "2024-12-08T23:57:31.039000",
          "2024-12-08T23:57:33.040000",
          "2024-12-08T23:57:34.641000",
          "2024-12-08T23:57:36.243000",
          "2024-12-08T23:57:38.644000",
          "2024-12-08T23:57:40.245000",
          "2024-12-08T23:57:43.238000",
          "2024-12-08T23:57:48.250000",
          "2024-12-08T23:57:50.651000",
          "2024-12-08T23:57:52.454000",
          "2024-12-08T23:57:56.856000",
          "2024-12-08T23:58:02.059000",
          "2024-12-08T23:58:06.062000",
          "2024-12-08T23:58:10.064000",
          "2024-12-08T23:58:14.467000",
          "2024-12-08T23:58:19.870000",
          "2024-12-08T23:58:22.071000",
          "2024-12-08T23:58:24.473000",
          "2024-12-08T23:58:26.275000",
          "2024-12-08T23:58:28.875000",
          "2024-12-08T23:58:31.080000",
          "2024-12-08T23:58:35.681000",
          "2024-12-08T23:58:38.281000",
          "2024-12-08T23:58:51.289000",
          "2024-12-08T23:58:54.291000",
          "2024-12-08T23:58:57.094000",
          "2024-12-08T23:58:58.894000",
          "2024-12-08T23:59:01.496000",
          "2024-12-08T23:59:03.097000",
          "2024-12-08T23:59:05.499000",
          "2024-12-08T23:59:07.300000",
          "2024-12-08T23:59:10.502000",
          "2024-12-08T23:59:12.903000",
          "2024-12-08T23:59:16.306000",
          "2024-12-08T23:59:18.510000",
          "2024-12-08T23:59:22.301000",
          "2024-12-08T23:59:26.111000",
          "2024-12-08T23:59:27.714000",
          "2024-12-08T23:59:31.915000",
          "2024-12-08T23:59:36.718000",
          "2024-12-08T23:59:43.723000",
          "2024-12-08T23:59:52.327000",
          "2024-12-09T00:00:06.937000",
          "2024-12-09T00:00:06.937000",
          "2024-12-09T00:00:06.937000",
          "2024-12-09T00:00:06.937000",
          "2024-12-09T00:00:58.769000",
          "2024-12-09T00:00:58.769000",
          "2024-12-09T00:00:58.769000",
          "2024-12-09T00:00:58.769000",
          "2024-12-09T00:01:10.181000",
          "2024-12-09T00:01:10.181000",
          "2024-12-09T00:01:10.181000",
          "2024-12-09T00:01:10.181000",
          "2024-12-09T00:01:39.794000",
          "2024-12-09T00:01:39.794000",
          "2024-12-09T00:01:39.794000",
          "2024-12-09T00:01:39.794000",
          "2024-12-09T00:04:03.087000",
          "2024-12-09T00:04:03.087000",
          "2024-12-09T00:04:03.087000",
          "2024-12-09T00:04:03.087000",
          "2024-12-09T00:04:44.115000",
          "2024-12-09T00:04:44.115000",
          "2024-12-09T00:04:44.115000",
          "2024-12-09T00:04:44.115000",
          "2024-12-09T00:05:23.740000",
          "2024-12-09T00:05:23.740000",
          "2024-12-09T00:05:23.740000",
          "2024-12-09T00:05:23.740000",
          "2024-12-09T00:06:00.763000",
          "2024-12-09T00:06:00.763000",
          "2024-12-09T00:06:00.763000",
          "2024-12-09T00:06:00.763000",
          "2024-12-09T00:06:46.393000",
          "2024-12-09T00:06:46.393000",
          "2024-12-09T00:06:46.393000",
          "2024-12-09T00:06:46.393000",
          "2024-12-09T00:07:30.821000",
          "2024-12-09T00:07:30.821000",
          "2024-12-09T00:07:30.821000",
          "2024-12-09T00:07:30.821000",
          "2024-12-09T00:08:19.051000",
          "2024-12-09T00:08:19.051000",
          "2024-12-09T00:08:19.051000",
          "2024-12-09T00:08:19.051000",
          "2024-12-09T00:08:52.872000",
          "2024-12-09T00:08:52.872000",
          "2024-12-09T00:08:52.872000",
          "2024-12-09T00:08:52.872000",
          "2024-12-09T00:09:41.704000",
          "2024-12-09T00:09:41.704000",
          "2024-12-09T00:09:41.704000",
          "2024-12-09T00:09:41.704000",
          "2024-12-09T00:10:46.545000",
          "2024-12-09T00:10:46.545000",
          "2024-12-09T00:10:46.545000",
          "2024-12-09T00:10:46.545000",
          "2024-12-09T00:11:21.967000",
          "2024-12-09T00:11:21.967000",
          "2024-12-09T00:11:21.967000",
          "2024-12-09T00:11:21.967000",
          "2024-12-09T00:12:09.998000",
          "2024-12-09T00:12:09.998000",
          "2024-12-09T00:12:09.998000",
          "2024-12-09T00:12:09.998000",
          "2024-12-09T00:13:06.234000",
          "2024-12-09T00:13:06.234000",
          "2024-12-09T00:13:06.234000",
          "2024-12-09T00:13:06.234000",
          "2024-12-09T00:13:58.562000",
          "2024-12-09T00:13:58.562000",
          "2024-12-09T00:13:58.562000",
          "2024-12-09T00:13:58.562000",
          "2024-12-09T00:14:45.392000",
          "2024-12-09T00:14:45.392000",
          "2024-12-09T00:14:45.392000",
          "2024-12-09T00:14:45.392000",
          "2024-12-09T00:15:42.827000",
          "2024-12-09T00:15:42.827000",
          "2024-12-09T00:15:42.827000",
          "2024-12-09T00:15:42.827000",
          "2024-12-09T00:16:35.864000",
          "2024-12-09T00:16:35.864000",
          "2024-12-09T00:16:35.864000",
          "2024-12-09T00:16:35.864000",
          "2024-12-09T00:17:39.703000",
          "2024-12-09T00:17:39.703000",
          "2024-12-09T00:17:39.703000",
          "2024-12-09T00:17:39.703000",
          "2024-12-09T00:18:39.142000",
          "2024-12-09T00:18:39.142000",
          "2024-12-09T00:18:39.142000",
          "2024-12-09T00:18:39.142000",
          "2024-12-09T00:19:34.776000",
          "2024-12-09T00:19:34.776000",
          "2024-12-09T00:19:34.776000",
          "2024-12-09T00:19:34.776000",
          "2024-12-09T00:20:36.816000",
          "2024-12-09T00:20:36.816000",
          "2024-12-09T00:20:36.816000",
          "2024-12-09T00:20:36.816000",
          "2024-12-09T00:21:38.054000",
          "2024-12-09T00:21:38.054000",
          "2024-12-09T00:21:38.054000",
          "2024-12-09T00:21:38.054000",
          "2024-12-09T00:22:44.897000",
          "2024-12-09T00:22:44.897000",
          "2024-12-09T00:22:44.897000",
          "2024-12-09T00:22:44.897000",
          "2024-12-09T00:23:55.144000",
          "2024-12-09T00:23:55.144000",
          "2024-12-09T00:23:55.144000",
          "2024-12-09T00:23:55.144000",
          "2024-12-09T00:25:12.794000",
          "2024-12-09T00:25:12.794000",
          "2024-12-09T00:25:12.794000",
          "2024-12-09T00:25:12.794000",
          "2024-12-09T00:26:27.440000",
          "2024-12-09T00:26:27.440000",
          "2024-12-09T00:26:27.440000",
          "2024-12-09T00:26:27.440000",
          "2024-12-09T00:27:36.084000",
          "2024-12-09T00:27:36.084000",
          "2024-12-09T00:27:36.084000",
          "2024-12-09T00:27:36.084000",
          "2024-12-09T00:28:54.934000",
          "2024-12-09T00:28:54.934000",
          "2024-12-09T00:28:54.934000",
          "2024-12-09T00:28:54.934000",
          "2024-12-09T00:30:17.987000",
          "2024-12-09T00:30:17.987000",
          "2024-12-09T00:30:17.987000",
          "2024-12-09T00:30:17.987000",
          "2024-12-09T00:31:33.635000",
          "2024-12-09T00:31:33.635000",
          "2024-12-09T00:31:33.635000",
          "2024-12-09T00:31:33.635000",
          "2024-12-09T00:33:03.493000",
          "2024-12-09T00:33:03.493000",
          "2024-12-09T00:33:03.493000",
          "2024-12-09T00:33:03.493000",
          "2024-12-09T00:34:46.557000",
          "2024-12-09T00:34:46.557000",
          "2024-12-09T00:34:46.557000",
          "2024-12-09T00:34:46.557000",
          "2024-12-09T00:35:54.401000",
          "2024-12-09T00:35:54.401000",
          "2024-12-09T00:35:54.401000",
          "2024-12-09T00:35:54.401000",
          "2024-12-09T00:37:26.460000",
          "2024-12-09T00:37:26.460000",
          "2024-12-09T00:37:26.460000",
          "2024-12-09T00:37:26.460000",
          "2024-12-09T00:39:06.524000",
          "2024-12-09T00:39:06.524000",
          "2024-12-09T00:39:06.524000",
          "2024-12-09T00:39:06.524000",
          "2024-12-09T00:40:05.566000",
          "2024-12-09T00:40:05.566000",
          "2024-12-09T00:40:05.566000",
          "2024-12-09T00:40:05.566000",
          "2024-12-09T00:40:06.967000",
          "2024-12-09T00:40:06.967000",
          "2024-12-09T00:40:06.967000",
          "2024-12-09T00:40:06.967000",
          "2024-12-09T00:40:07.968000",
          "2024-12-09T00:40:07.968000",
          "2024-12-09T00:40:07.968000",
          "2024-12-09T00:40:07.968000",
          "2024-12-09T00:40:11.370000",
          "2024-12-09T00:40:11.370000",
          "2024-12-09T00:40:11.370000",
          "2024-12-09T00:40:11.370000",
          "2024-12-09T00:40:11.971000",
          "2024-12-09T00:40:11.971000",
          "2024-12-09T00:40:11.971000",
          "2024-12-09T00:40:11.971000",
          "2024-12-09T00:40:12.571000",
          "2024-12-09T00:40:12.571000",
          "2024-12-09T00:40:12.571000",
          "2024-12-09T00:40:12.571000",
          "2024-12-09T00:40:12.972000",
          "2024-12-09T00:40:12.972000",
          "2024-12-09T00:40:12.972000",
          "2024-12-09T00:40:12.972000",
          "2024-12-09T00:40:13.372000",
          "2024-12-09T00:40:13.372000",
          "2024-12-09T00:40:13.372000",
          "2024-12-09T00:40:13.372000",
          "2024-12-09T00:40:13.773000",
          "2024-12-09T00:40:13.773000",
          "2024-12-09T00:40:13.773000",
          "2024-12-09T00:40:13.773000",
          "2024-12-09T00:40:14.175000",
          "2024-12-09T00:40:14.175000",
          "2024-12-09T00:40:14.175000",
          "2024-12-09T00:40:14.175000",
          "2024-12-09T00:40:14.574000",
          "2024-12-09T00:40:14.574000",
          "2024-12-09T00:40:14.574000",
          "2024-12-09T00:40:14.574000",
          "2024-12-09T00:40:14.973000",
          "2024-12-09T00:40:14.973000",
          "2024-12-09T00:40:14.973000",
          "2024-12-09T00:40:14.973000",
          "2024-12-09T00:40:15.374000",
          "2024-12-09T00:40:15.374000",
          "2024-12-09T00:40:15.374000",
          "2024-12-09T00:40:15.374000",
          "2024-12-09T00:40:15.774000",
          "2024-12-09T00:40:15.774000",
          "2024-12-09T00:40:15.774000",
          "2024-12-09T00:40:15.774000",
          "2024-12-09T00:40:16.174000",
          "2024-12-09T00:40:16.174000",
          "2024-12-09T00:40:16.174000",
          "2024-12-09T00:40:16.174000",
          "2024-12-09T00:40:16.575000",
          "2024-12-09T00:40:16.575000",
          "2024-12-09T00:40:16.575000",
          "2024-12-09T00:40:16.575000",
          "2024-12-09T00:40:16.974000",
          "2024-12-09T00:40:16.974000",
          "2024-12-09T00:40:16.974000",
          "2024-12-09T00:40:16.974000",
          "2024-12-09T00:40:17.375000",
          "2024-12-09T00:40:17.375000",
          "2024-12-09T00:40:17.375000",
          "2024-12-09T00:40:17.375000",
          "2024-12-09T00:40:17.775000",
          "2024-12-09T00:40:17.775000",
          "2024-12-09T00:40:17.775000",
          "2024-12-09T00:40:17.775000",
          "2024-12-09T00:40:18.176000",
          "2024-12-09T00:40:18.176000",
          "2024-12-09T00:40:18.176000",
          "2024-12-09T00:40:18.176000",
          "2024-12-09T00:40:18.777000",
          "2024-12-09T00:40:18.777000",
          "2024-12-09T00:40:18.777000",
          "2024-12-09T00:40:18.777000",
          "2024-12-09T00:40:19.176000",
          "2024-12-09T00:40:19.176000",
          "2024-12-09T00:40:19.176000",
          "2024-12-09T00:40:19.176000",
          "2024-12-09T00:40:19.979000",
          "2024-12-09T00:40:19.979000",
          "2024-12-09T00:40:19.979000",
          "2024-12-09T00:40:19.979000",
          "2024-12-09T00:40:20.777000",
          "2024-12-09T00:40:20.777000",
          "2024-12-09T00:40:20.777000",
          "2024-12-09T00:40:20.777000",
          "2024-12-09T00:40:21.577000",
          "2024-12-09T00:40:21.577000",
          "2024-12-09T00:40:21.577000",
          "2024-12-09T00:40:21.577000",
          "2024-12-09T00:40:22.378000",
          "2024-12-09T00:40:22.378000",
          "2024-12-09T00:40:22.378000",
          "2024-12-09T00:40:22.378000",
          "2024-12-09T00:40:23.179000",
          "2024-12-09T00:40:23.179000",
          "2024-12-09T00:40:23.179000",
          "2024-12-09T00:40:23.179000",
          "2024-12-09T00:40:23.981000",
          "2024-12-09T00:40:23.981000",
          "2024-12-09T00:40:23.981000",
          "2024-12-09T00:40:23.981000",
          "2024-12-09T00:40:25.781000",
          "2024-12-09T00:40:25.781000",
          "2024-12-09T00:40:25.781000",
          "2024-12-09T00:40:25.781000",
          "2024-12-09T00:40:27.182000",
          "2024-12-09T00:40:27.182000",
          "2024-12-09T00:40:27.182000",
          "2024-12-09T00:40:27.182000",
          "2024-12-09T00:40:28.581000",
          "2024-12-09T00:40:28.581000",
          "2024-12-09T00:40:28.581000",
          "2024-12-09T00:40:28.581000",
          "2024-12-09T00:40:30.383000",
          "2024-12-09T00:40:30.383000",
          "2024-12-09T00:40:30.383000",
          "2024-12-09T00:40:30.383000",
          "2024-12-09T00:40:33.587000",
          "2024-12-09T00:40:33.587000",
          "2024-12-09T00:40:33.587000",
          "2024-12-09T00:40:33.587000",
          "2024-12-09T00:40:35.786000",
          "2024-12-09T00:40:35.786000",
          "2024-12-09T00:40:35.786000",
          "2024-12-09T00:40:35.786000",
          "2024-12-09T00:40:37.188000",
          "2024-12-09T00:40:37.188000",
          "2024-12-09T00:40:37.188000",
          "2024-12-09T00:40:37.188000",
          "2024-12-09T00:40:38.791000",
          "2024-12-09T00:40:38.791000",
          "2024-12-09T00:40:38.791000",
          "2024-12-09T00:40:38.791000",
          "2024-12-09T00:40:39.391000",
          "2024-12-09T00:40:39.391000",
          "2024-12-09T00:40:39.391000",
          "2024-12-09T00:40:39.391000",
          "2024-12-09T00:40:40.389000",
          "2024-12-09T00:40:40.389000",
          "2024-12-09T00:40:40.389000",
          "2024-12-09T00:40:40.389000",
          "2024-12-09T00:40:41.389000",
          "2024-12-09T00:40:41.389000",
          "2024-12-09T00:40:41.389000",
          "2024-12-09T00:40:41.389000",
          "2024-12-09T00:40:42.391000",
          "2024-12-09T00:40:42.391000",
          "2024-12-09T00:40:42.391000",
          "2024-12-09T00:40:42.391000",
          "2024-12-09T00:40:43.392000",
          "2024-12-09T00:40:43.392000",
          "2024-12-09T00:40:43.392000",
          "2024-12-09T00:40:43.392000",
          "2024-12-09T00:40:44.394000",
          "2024-12-09T00:40:44.394000",
          "2024-12-09T00:40:44.394000",
          "2024-12-09T00:40:44.394000",
          "2024-12-09T00:40:45.394000",
          "2024-12-09T00:40:45.394000",
          "2024-12-09T00:40:45.394000",
          "2024-12-09T00:40:45.394000",
          "2024-12-09T00:40:46.393000",
          "2024-12-09T00:40:46.393000",
          "2024-12-09T00:40:46.393000",
          "2024-12-09T00:40:46.393000",
          "2024-12-09T00:40:47.196000",
          "2024-12-09T00:40:47.196000",
          "2024-12-09T00:40:47.196000",
          "2024-12-09T00:40:47.196000",
          "2024-12-09T00:40:48.396000",
          "2024-12-09T00:40:48.396000",
          "2024-12-09T00:40:48.396000",
          "2024-12-09T00:40:48.396000",
          "2024-12-09T00:40:48.996000",
          "2024-12-09T00:40:48.996000",
          "2024-12-09T00:40:48.996000",
          "2024-12-09T00:40:48.996000",
          "2024-12-09T00:40:49.797000",
          "2024-12-09T00:40:49.797000",
          "2024-12-09T00:40:49.797000",
          "2024-12-09T00:40:49.797000",
          "2024-12-09T00:40:50.595000",
          "2024-12-09T00:40:50.595000",
          "2024-12-09T00:40:50.595000",
          "2024-12-09T00:40:50.595000",
          "2024-12-09T00:40:51.396000",
          "2024-12-09T00:40:51.396000",
          "2024-12-09T00:40:51.396000",
          "2024-12-09T00:40:51.396000",
          "2024-12-09T00:40:52.397000",
          "2024-12-09T00:40:52.397000",
          "2024-12-09T00:40:52.397000",
          "2024-12-09T00:40:52.397000",
          "2024-12-09T00:40:53.598000",
          "2024-12-09T00:40:53.598000",
          "2024-12-09T00:40:53.598000",
          "2024-12-09T00:40:53.598000",
          "2024-12-09T00:40:54.598000",
          "2024-12-09T00:40:54.598000",
          "2024-12-09T00:40:54.598000",
          "2024-12-09T00:40:54.598000",
          "2024-12-09T00:40:55.199000",
          "2024-12-09T00:40:55.199000",
          "2024-12-09T00:40:55.199000",
          "2024-12-09T00:40:55.199000",
          "2024-12-09T00:40:56.200000",
          "2024-12-09T00:40:56.200000",
          "2024-12-09T00:40:56.200000",
          "2024-12-09T00:40:56.200000",
          "2024-12-09T00:40:57.800000",
          "2024-12-09T00:40:57.800000",
          "2024-12-09T00:40:57.800000",
          "2024-12-09T00:40:57.800000",
          "2024-12-09T00:40:58.601000",
          "2024-12-09T00:40:58.601000",
          "2024-12-09T00:40:58.601000",
          "2024-12-09T00:40:58.601000",
          "2024-12-09T00:40:59.801000",
          "2024-12-09T00:40:59.801000",
          "2024-12-09T00:40:59.801000",
          "2024-12-09T00:40:59.801000",
          "2024-12-09T00:41:02.404000",
          "2024-12-09T00:41:02.404000",
          "2024-12-09T00:41:02.404000",
          "2024-12-09T00:41:02.404000",
          "2024-12-09T00:41:16.012000",
          "2024-12-09T00:41:16.012000",
          "2024-12-09T00:41:16.012000",
          "2024-12-09T00:41:16.012000",
          "2024-12-09T00:41:43.231000",
          "2024-12-09T00:41:43.231000",
          "2024-12-09T00:41:43.231000",
          "2024-12-09T00:41:43.231000",
          "2024-12-09T00:41:56.238000",
          "2024-12-09T00:41:56.238000",
          "2024-12-09T00:41:56.238000",
          "2024-12-09T00:41:56.238000",
          "2024-12-09T00:42:02.043000",
          "2024-12-09T00:42:02.043000",
          "2024-12-09T00:42:02.043000",
          "2024-12-09T00:42:02.043000",
          "2024-12-09T00:42:06.044000",
          "2024-12-09T00:42:06.044000",
          "2024-12-09T00:42:06.044000",
          "2024-12-09T00:42:06.044000",
          "2024-12-09T00:42:09.647000",
          "2024-12-09T00:42:09.647000",
          "2024-12-09T00:42:09.647000",
          "2024-12-09T00:42:09.647000",
          "2024-12-09T00:42:16.453000",
          "2024-12-09T00:42:16.453000",
          "2024-12-09T00:42:16.453000",
          "2024-12-09T00:42:16.453000",
          "2024-12-09T00:42:25.257000",
          "2024-12-09T00:42:25.257000",
          "2024-12-09T00:42:25.257000",
          "2024-12-09T00:42:25.257000",
          "2024-12-09T00:42:35.064000",
          "2024-12-09T00:42:35.064000",
          "2024-12-09T00:42:35.064000",
          "2024-12-09T00:42:35.064000",
          "2024-12-09T00:42:39.667000",
          "2024-12-09T00:42:39.667000",
          "2024-12-09T00:42:39.667000",
          "2024-12-09T00:42:39.667000",
          "2024-12-09T00:42:45.470000",
          "2024-12-09T00:42:45.470000",
          "2024-12-09T00:42:45.470000",
          "2024-12-09T00:42:45.470000",
          "2024-12-09T00:42:48.873000",
          "2024-12-09T00:42:48.873000",
          "2024-12-09T00:42:48.873000",
          "2024-12-09T00:42:48.873000",
          "2024-12-09T00:42:50.273000",
          "2024-12-09T00:42:50.273000",
          "2024-12-09T00:42:50.273000",
          "2024-12-09T00:42:50.273000",
          "2024-12-09T00:42:52.875000",
          "2024-12-09T00:42:52.875000",
          "2024-12-09T00:42:52.875000",
          "2024-12-09T00:42:52.875000",
          "2024-12-09T00:42:59.279000",
          "2024-12-09T00:42:59.279000",
          "2024-12-09T00:42:59.279000",
          "2024-12-09T00:42:59.279000",
          "2024-12-09T00:43:01.480000",
          "2024-12-09T00:43:01.480000",
          "2024-12-09T00:43:01.480000",
          "2024-12-09T00:43:01.480000",
          "2024-12-09T00:43:03.882000",
          "2024-12-09T00:43:03.882000",
          "2024-12-09T00:43:03.882000",
          "2024-12-09T00:43:03.882000",
          "2024-12-09T00:43:05.083000",
          "2024-12-09T00:43:05.083000",
          "2024-12-09T00:43:05.083000",
          "2024-12-09T00:43:05.083000",
          "2024-12-09T00:43:06.283000",
          "2024-12-09T00:43:06.283000",
          "2024-12-09T00:43:06.283000",
          "2024-12-09T00:43:06.283000",
          "2024-12-09T00:43:07.885000",
          "2024-12-09T00:43:07.885000",
          "2024-12-09T00:43:07.885000",
          "2024-12-09T00:43:07.885000",
          "2024-12-09T00:43:09.285000",
          "2024-12-09T00:43:09.285000",
          "2024-12-09T00:43:09.285000",
          "2024-12-09T00:43:09.285000",
          "2024-12-09T00:43:10.887000",
          "2024-12-09T00:43:10.887000",
          "2024-12-09T00:43:10.887000",
          "2024-12-09T00:43:10.887000",
          "2024-12-09T00:43:12.288000",
          "2024-12-09T00:43:12.288000",
          "2024-12-09T00:43:12.288000",
          "2024-12-09T00:43:12.288000",
          "2024-12-09T00:43:14.089000",
          "2024-12-09T00:43:14.089000",
          "2024-12-09T00:43:14.089000",
          "2024-12-09T00:43:14.089000",
          "2024-12-09T00:43:15.890000",
          "2024-12-09T00:43:15.890000",
          "2024-12-09T00:43:15.890000",
          "2024-12-09T00:43:15.890000",
          "2024-12-09T00:43:17.491000",
          "2024-12-09T00:43:17.491000",
          "2024-12-09T00:43:17.491000",
          "2024-12-09T00:43:17.491000",
          "2024-12-09T00:43:19.892000",
          "2024-12-09T00:43:19.892000",
          "2024-12-09T00:43:19.892000",
          "2024-12-09T00:43:19.892000",
          "2024-12-09T00:43:21.894000",
          "2024-12-09T00:43:21.894000",
          "2024-12-09T00:43:21.894000",
          "2024-12-09T00:43:21.894000",
          "2024-12-09T00:43:25.297000",
          "2024-12-09T00:43:25.297000",
          "2024-12-09T00:43:25.297000",
          "2024-12-09T00:43:25.297000",
          "2024-12-09T00:43:27.697000",
          "2024-12-09T00:43:27.697000",
          "2024-12-09T00:43:27.697000",
          "2024-12-09T00:43:27.697000",
          "2024-12-09T00:43:31.699000",
          "2024-12-09T00:43:31.699000",
          "2024-12-09T00:43:31.699000",
          "2024-12-09T00:43:31.699000",
          "2024-12-09T00:43:36.304000",
          "2024-12-09T00:43:36.304000",
          "2024-12-09T00:43:36.304000",
          "2024-12-09T00:43:36.304000",
          "2024-12-09T00:43:42.907000",
          "2024-12-09T00:43:42.907000",
          "2024-12-09T00:43:42.907000",
          "2024-12-09T00:43:42.907000",
          "2024-12-09T00:43:56.516000",
          "2024-12-09T00:43:56.516000",
          "2024-12-09T00:43:56.516000",
          "2024-12-09T00:43:56.516000",
          "2024-12-09T00:44:02.719000",
          "2024-12-09T00:44:02.719000",
          "2024-12-09T00:44:02.719000",
          "2024-12-09T00:44:02.719000",
          "2024-12-09T00:44:11.926000",
          "2024-12-09T00:44:11.926000",
          "2024-12-09T00:44:11.926000",
          "2024-12-09T00:44:11.926000",
          "2024-12-09T00:44:16.529000",
          "2024-12-09T00:44:16.529000",
          "2024-12-09T00:44:16.529000",
          "2024-12-09T00:44:16.529000",
          "2024-12-09T00:44:21.331000",
          "2024-12-09T00:44:21.331000",
          "2024-12-09T00:44:21.331000",
          "2024-12-09T00:44:21.331000",
          "2024-12-09T00:44:29.937000",
          "2024-12-09T00:44:29.937000",
          "2024-12-09T00:44:29.937000",
          "2024-12-09T00:44:29.937000",
          "2024-12-09T00:44:37.144000",
          "2024-12-09T00:44:37.144000",
          "2024-12-09T00:44:37.144000",
          "2024-12-09T00:44:37.144000",
          "2024-12-09T00:44:43.546000",
          "2024-12-09T00:44:43.546000",
          "2024-12-09T00:44:43.546000",
          "2024-12-09T00:44:43.546000",
          "2024-12-09T00:44:47.549000",
          "2024-12-09T00:44:47.549000",
          "2024-12-09T00:44:47.549000",
          "2024-12-09T00:44:47.549000",
          "2024-12-09T00:44:53.554000",
          "2024-12-09T00:44:53.554000",
          "2024-12-09T00:44:53.554000",
          "2024-12-09T00:44:53.554000",
          "2024-12-09T00:45:12.364000",
          "2024-12-09T00:45:12.364000",
          "2024-12-09T00:45:12.364000",
          "2024-12-09T00:45:12.364000",
          "2024-12-09T00:45:14.766000",
          "2024-12-09T00:45:14.766000",
          "2024-12-09T00:45:14.766000",
          "2024-12-09T00:45:14.766000",
          "2024-12-09T00:45:15.766000",
          "2024-12-09T00:45:15.766000",
          "2024-12-09T00:45:15.766000",
          "2024-12-09T00:45:15.766000",
          "2024-12-09T00:45:16.964000",
          "2024-12-09T00:45:16.964000",
          "2024-12-09T00:45:16.964000",
          "2024-12-09T00:45:16.964000",
          "2024-12-09T00:45:18.168000",
          "2024-12-09T00:45:18.168000",
          "2024-12-09T00:45:18.168000",
          "2024-12-09T00:45:18.168000",
          "2024-12-09T00:45:19.969000",
          "2024-12-09T00:45:19.969000",
          "2024-12-09T00:45:19.969000",
          "2024-12-09T00:45:19.969000",
          "2024-12-09T00:45:24.772000",
          "2024-12-09T00:45:24.772000",
          "2024-12-09T00:45:24.772000",
          "2024-12-09T00:45:24.772000",
          "2024-12-09T00:45:27.974000",
          "2024-12-09T00:45:27.974000",
          "2024-12-09T00:45:27.974000",
          "2024-12-09T00:45:27.974000",
          "2024-12-09T00:45:29.776000",
          "2024-12-09T00:45:29.776000",
          "2024-12-09T00:45:29.776000",
          "2024-12-09T00:45:29.776000",
          "2024-12-09T00:45:33.178000",
          "2024-12-09T00:45:33.178000",
          "2024-12-09T00:45:33.178000",
          "2024-12-09T00:45:33.178000",
          "2024-12-09T00:45:35.780000",
          "2024-12-09T00:45:35.780000",
          "2024-12-09T00:45:35.780000",
          "2024-12-09T00:45:35.780000",
          "2024-12-09T00:45:38.181000",
          "2024-12-09T00:45:38.181000",
          "2024-12-09T00:45:38.181000",
          "2024-12-09T00:45:38.181000",
          "2024-12-09T00:45:41.582000",
          "2024-12-09T00:45:41.582000",
          "2024-12-09T00:45:41.582000",
          "2024-12-09T00:45:41.582000",
          "2024-12-09T00:45:43.184000",
          "2024-12-09T00:45:43.184000",
          "2024-12-09T00:45:43.184000",
          "2024-12-09T00:45:43.184000",
          "2024-12-09T00:45:46.787000",
          "2024-12-09T00:45:46.787000",
          "2024-12-09T00:45:46.787000",
          "2024-12-09T00:45:46.787000",
          "2024-12-09T00:45:49.988000",
          "2024-12-09T00:45:49.988000",
          "2024-12-09T00:45:49.988000",
          "2024-12-09T00:45:49.988000",
          "2024-12-09T00:45:52.989000",
          "2024-12-09T00:45:52.989000",
          "2024-12-09T00:45:52.989000",
          "2024-12-09T00:45:52.989000",
          "2024-12-09T00:45:58.594000",
          "2024-12-09T00:45:58.594000",
          "2024-12-09T00:45:58.594000",
          "2024-12-09T00:45:58.594000",
          "2024-12-09T00:46:03.997000",
          "2024-12-09T00:46:03.997000",
          "2024-12-09T00:46:03.997000",
          "2024-12-09T00:46:03.997000",
          "2024-12-09T00:46:09.600000",
          "2024-12-09T00:46:09.600000",
          "2024-12-09T00:46:09.600000",
          "2024-12-09T00:46:09.600000",
          "2024-12-09T00:46:17.405000",
          "2024-12-09T00:46:17.405000",
          "2024-12-09T00:46:17.405000",
          "2024-12-09T00:46:17.405000",
          "2024-12-09T00:46:30.214000",
          "2024-12-09T00:46:30.214000",
          "2024-12-09T00:46:30.214000",
          "2024-12-09T00:46:30.214000",
          "2024-12-09T00:46:55.827000",
          "2024-12-09T00:46:55.827000",
          "2024-12-09T00:46:55.827000",
          "2024-12-09T00:46:55.827000",
          "2024-12-09T00:47:52.868000",
          "2024-12-09T00:47:52.868000",
          "2024-12-09T00:47:52.868000",
          "2024-12-09T00:47:52.868000",
          "2024-12-09T00:49:52.043000",
          "2024-12-09T00:49:52.043000",
          "2024-12-09T00:49:52.043000",
          "2024-12-09T00:49:52.043000",
          "2024-12-09T00:50:56.281000",
          "2024-12-09T00:50:56.281000",
          "2024-12-09T00:50:56.281000",
          "2024-12-09T00:50:56.281000",
          "2024-12-09T00:51:45.111000",
          "2024-12-09T00:51:45.111000",
          "2024-12-09T00:51:45.111000",
          "2024-12-09T00:51:45.111000",
          "2024-12-09T00:52:34.343000",
          "2024-12-09T00:52:34.343000",
          "2024-12-09T00:52:34.343000",
          "2024-12-09T00:52:34.343000",
          "2024-12-09T00:53:25.177000",
          "2024-12-09T00:53:25.177000",
          "2024-12-09T00:53:25.177000",
          "2024-12-09T00:53:25.177000",
          "2024-12-09T00:54:14.208000",
          "2024-12-09T00:54:14.208000",
          "2024-12-09T00:54:14.208000",
          "2024-12-09T00:54:14.208000",
          "2024-12-09T00:55:07.438000",
          "2024-12-09T00:55:07.438000",
          "2024-12-09T00:55:07.438000",
          "2024-12-09T00:55:07.438000",
          "2024-12-09T00:56:03.674000",
          "2024-12-09T00:56:03.674000",
          "2024-12-09T00:56:03.674000",
          "2024-12-09T00:56:03.674000",
          "2024-12-09T00:56:55.909000",
          "2024-12-09T00:56:55.909000",
          "2024-12-09T00:56:55.909000",
          "2024-12-09T00:56:55.909000",
          "2024-12-09T00:57:34.332000",
          "2024-12-09T00:57:34.332000",
          "2024-12-09T00:57:34.332000",
          "2024-12-09T00:57:34.332000",
          "2024-12-09T00:57:35.134000",
          "2024-12-09T00:57:35.134000",
          "2024-12-09T00:57:35.134000",
          "2024-12-09T00:57:35.134000",
          "2024-12-09T00:57:35.734000",
          "2024-12-09T00:57:35.734000",
          "2024-12-09T00:57:35.734000",
          "2024-12-09T00:57:35.734000",
          "2024-12-09T00:57:36.134000",
          "2024-12-09T00:57:36.134000",
          "2024-12-09T00:57:36.134000",
          "2024-12-09T00:57:36.134000",
          "2024-12-09T00:57:36.535000",
          "2024-12-09T00:57:36.535000",
          "2024-12-09T00:57:36.535000",
          "2024-12-09T00:57:36.535000",
          "2024-12-09T00:57:37.134000",
          "2024-12-09T00:57:37.134000",
          "2024-12-09T00:57:37.134000",
          "2024-12-09T00:57:37.134000",
          "2024-12-09T00:57:37.534000",
          "2024-12-09T00:57:37.534000",
          "2024-12-09T00:57:37.534000",
          "2024-12-09T00:57:37.534000",
          "2024-12-09T00:57:37.935000",
          "2024-12-09T00:57:37.935000",
          "2024-12-09T00:57:37.935000",
          "2024-12-09T00:57:37.935000",
          "2024-12-09T00:57:38.334000",
          "2024-12-09T00:57:38.334000",
          "2024-12-09T00:57:38.334000",
          "2024-12-09T00:57:38.334000",
          "2024-12-09T00:57:38.735000",
          "2024-12-09T00:57:38.735000",
          "2024-12-09T00:57:38.735000",
          "2024-12-09T00:57:38.735000",
          "2024-12-09T00:57:39.135000",
          "2024-12-09T00:57:39.135000",
          "2024-12-09T00:57:39.135000",
          "2024-12-09T00:57:39.135000",
          "2024-12-09T00:57:39.536000",
          "2024-12-09T00:57:39.536000",
          "2024-12-09T00:57:39.536000",
          "2024-12-09T00:57:39.536000",
          "2024-12-09T00:57:39.936000",
          "2024-12-09T00:57:39.936000",
          "2024-12-09T00:57:39.936000",
          "2024-12-09T00:57:39.936000",
          "2024-12-09T00:57:40.336000",
          "2024-12-09T00:57:40.336000",
          "2024-12-09T00:57:40.336000",
          "2024-12-09T00:57:40.336000",
          "2024-12-09T00:57:40.936000",
          "2024-12-09T00:57:40.936000",
          "2024-12-09T00:57:40.936000",
          "2024-12-09T00:57:40.936000",
          "2024-12-09T00:57:41.336000",
          "2024-12-09T00:57:41.336000",
          "2024-12-09T00:57:41.336000",
          "2024-12-09T00:57:41.336000",
          "2024-12-09T00:57:41.736000",
          "2024-12-09T00:57:41.736000",
          "2024-12-09T00:57:41.736000",
          "2024-12-09T00:57:41.736000",
          "2024-12-09T00:57:42.138000",
          "2024-12-09T00:57:42.138000",
          "2024-12-09T00:57:42.138000",
          "2024-12-09T00:57:42.138000",
          "2024-12-09T00:57:42.537000",
          "2024-12-09T00:57:42.537000",
          "2024-12-09T00:57:42.537000",
          "2024-12-09T00:57:42.537000",
          "2024-12-09T00:57:42.938000",
          "2024-12-09T00:57:42.938000",
          "2024-12-09T00:57:42.938000",
          "2024-12-09T00:57:42.938000",
          "2024-12-09T00:57:43.538000",
          "2024-12-09T00:57:43.538000",
          "2024-12-09T00:57:43.538000",
          "2024-12-09T00:57:43.538000",
          "2024-12-09T00:57:43.942000",
          "2024-12-09T00:57:43.942000",
          "2024-12-09T00:57:43.942000",
          "2024-12-09T00:57:43.942000",
          "2024-12-09T00:57:44.539000",
          "2024-12-09T00:57:44.539000",
          "2024-12-09T00:57:44.539000",
          "2024-12-09T00:57:44.539000",
          "2024-12-09T00:57:45.140000",
          "2024-12-09T00:57:45.140000",
          "2024-12-09T00:57:45.140000",
          "2024-12-09T00:57:45.140000",
          "2024-12-09T00:57:45.739000",
          "2024-12-09T00:57:45.739000",
          "2024-12-09T00:57:45.739000",
          "2024-12-09T00:57:45.739000",
          "2024-12-09T00:57:46.340000",
          "2024-12-09T00:57:46.340000",
          "2024-12-09T00:57:46.340000",
          "2024-12-09T00:57:46.340000",
          "2024-12-09T00:57:46.940000",
          "2024-12-09T00:57:46.940000",
          "2024-12-09T00:57:46.940000",
          "2024-12-09T00:57:46.940000",
          "2024-12-09T00:57:47.341000",
          "2024-12-09T00:57:47.341000",
          "2024-12-09T00:57:47.341000",
          "2024-12-09T00:57:47.341000",
          "2024-12-09T00:57:47.743000",
          "2024-12-09T00:57:47.743000",
          "2024-12-09T00:57:47.743000",
          "2024-12-09T00:57:47.743000",
          "2024-12-09T00:57:48.542000",
          "2024-12-09T00:57:48.542000",
          "2024-12-09T00:57:48.542000",
          "2024-12-09T00:57:48.542000",
          "2024-12-09T00:57:49.142000",
          "2024-12-09T00:57:49.142000",
          "2024-12-09T00:57:49.142000",
          "2024-12-09T00:57:49.142000",
          "2024-12-09T00:57:49.742000",
          "2024-12-09T00:57:49.742000",
          "2024-12-09T00:57:49.742000",
          "2024-12-09T00:57:49.742000",
          "2024-12-09T00:57:50.342000",
          "2024-12-09T00:57:50.342000",
          "2024-12-09T00:57:50.342000",
          "2024-12-09T00:57:50.342000",
          "2024-12-09T00:57:50.943000",
          "2024-12-09T00:57:50.943000",
          "2024-12-09T00:57:50.943000",
          "2024-12-09T00:57:50.943000",
          "2024-12-09T00:57:51.544000",
          "2024-12-09T00:57:51.544000",
          "2024-12-09T00:57:51.544000",
          "2024-12-09T00:57:51.544000",
          "2024-12-09T00:57:52.145000",
          "2024-12-09T00:57:52.145000",
          "2024-12-09T00:57:52.145000",
          "2024-12-09T00:57:52.145000",
          "2024-12-09T00:57:53.345000",
          "2024-12-09T00:57:53.345000",
          "2024-12-09T00:57:53.345000",
          "2024-12-09T00:57:53.345000",
          "2024-12-09T00:57:54.345000",
          "2024-12-09T00:57:54.345000",
          "2024-12-09T00:57:54.345000",
          "2024-12-09T00:57:54.345000",
          "2024-12-09T00:57:55.345000",
          "2024-12-09T00:57:55.345000",
          "2024-12-09T00:57:55.345000",
          "2024-12-09T00:57:55.345000",
          "2024-12-09T00:57:56.548000",
          "2024-12-09T00:57:56.548000",
          "2024-12-09T00:57:56.548000",
          "2024-12-09T00:57:56.548000",
          "2024-12-09T00:58:00.150000",
          "2024-12-09T00:58:00.150000",
          "2024-12-09T00:58:00.150000",
          "2024-12-09T00:58:00.150000",
          "2024-12-09T00:58:13.158000",
          "2024-12-09T00:58:13.158000",
          "2024-12-09T00:58:13.158000",
          "2024-12-09T00:58:13.158000",
          "2024-12-09T00:58:14.959000",
          "2024-12-09T00:58:14.959000",
          "2024-12-09T00:58:14.959000",
          "2024-12-09T00:58:14.959000",
          "2024-12-09T00:58:17.961000",
          "2024-12-09T00:58:17.961000",
          "2024-12-09T00:58:17.961000",
          "2024-12-09T00:58:17.961000",
          "2024-12-09T00:58:18.962000",
          "2024-12-09T00:58:18.962000",
          "2024-12-09T00:58:18.962000",
          "2024-12-09T00:58:18.962000",
          "2024-12-09T00:58:22.764000",
          "2024-12-09T00:58:22.764000",
          "2024-12-09T00:58:22.764000",
          "2024-12-09T00:58:22.764000",
          "2024-12-09T00:58:24.165000",
          "2024-12-09T00:58:24.165000",
          "2024-12-09T00:58:24.165000",
          "2024-12-09T00:58:24.165000",
          "2024-12-09T00:58:27.567000",
          "2024-12-09T00:58:27.567000",
          "2024-12-09T00:58:27.567000",
          "2024-12-09T00:58:27.567000",
          "2024-12-09T00:58:32.770000",
          "2024-12-09T00:58:32.770000",
          "2024-12-09T00:58:32.770000",
          "2024-12-09T00:58:32.770000",
          "2024-12-09T00:58:43.579000",
          "2024-12-09T00:58:43.579000",
          "2024-12-09T00:58:43.579000",
          "2024-12-09T00:58:43.579000",
          "2024-12-09T00:58:58.386000",
          "2024-12-09T00:58:58.386000",
          "2024-12-09T00:58:58.386000",
          "2024-12-09T00:58:58.386000",
          "2024-12-09T00:59:08.193000",
          "2024-12-09T00:59:08.193000",
          "2024-12-09T00:59:08.193000",
          "2024-12-09T00:59:08.193000",
          "2024-12-09T00:59:18.803000",
          "2024-12-09T00:59:18.803000",
          "2024-12-09T00:59:18.803000",
          "2024-12-09T00:59:18.803000",
          "2024-12-09T00:59:32.008000",
          "2024-12-09T00:59:32.008000",
          "2024-12-09T00:59:32.008000",
          "2024-12-09T00:59:32.008000",
          "2024-12-09T00:59:46.218000",
          "2024-12-09T00:59:46.218000",
          "2024-12-09T00:59:46.218000",
          "2024-12-09T00:59:46.218000",
          "2024-12-09T01:00:00.026000",
          "2024-12-09T01:00:00.026000",
          "2024-12-09T01:00:00.026000",
          "2024-12-09T01:00:00.026000",
          "2024-12-09T01:00:12.434000",
          "2024-12-09T01:00:12.434000",
          "2024-12-09T01:00:12.434000",
          "2024-12-09T01:00:12.434000",
          "2024-12-09T01:00:23.442000",
          "2024-12-09T01:00:23.442000",
          "2024-12-09T01:00:23.442000",
          "2024-12-09T01:00:23.442000",
          "2024-12-09T01:00:35.050000",
          "2024-12-09T01:00:35.050000",
          "2024-12-09T01:00:35.050000",
          "2024-12-09T01:00:35.050000",
          "2024-12-09T01:00:45.056000",
          "2024-12-09T01:00:45.056000",
          "2024-12-09T01:00:45.056000",
          "2024-12-09T01:00:45.056000",
          "2024-12-09T01:00:55.262000",
          "2024-12-09T01:00:55.262000",
          "2024-12-09T01:00:55.262000",
          "2024-12-09T01:00:55.262000",
          "2024-12-09T01:01:06.069000",
          "2024-12-09T01:01:06.069000",
          "2024-12-09T01:01:06.069000",
          "2024-12-09T01:01:06.069000",
          "2024-12-09T01:01:17.877000",
          "2024-12-09T01:01:17.877000",
          "2024-12-09T01:01:17.877000",
          "2024-12-09T01:01:17.877000",
          "2024-12-09T01:01:28.483000",
          "2024-12-09T01:01:28.483000",
          "2024-12-09T01:01:28.483000",
          "2024-12-09T01:01:28.483000",
          "2024-12-09T01:01:40.291000",
          "2024-12-09T01:01:40.291000",
          "2024-12-09T01:01:40.291000",
          "2024-12-09T01:01:40.291000",
          "2024-12-09T01:01:51.497000",
          "2024-12-09T01:01:51.497000",
          "2024-12-09T01:01:51.497000",
          "2024-12-09T01:01:51.497000",
          "2024-12-09T01:02:03.905000",
          "2024-12-09T01:02:03.905000",
          "2024-12-09T01:02:03.905000",
          "2024-12-09T01:02:03.905000",
          "2024-12-09T01:02:20.319000",
          "2024-12-09T01:02:20.319000",
          "2024-12-09T01:02:20.319000",
          "2024-12-09T01:02:20.319000",
          "2024-12-09T01:02:31.323000",
          "2024-12-09T01:02:31.323000",
          "2024-12-09T01:02:31.323000",
          "2024-12-09T01:02:31.323000",
          "2024-12-09T01:02:44.931000",
          "2024-12-09T01:02:44.931000",
          "2024-12-09T01:02:44.931000",
          "2024-12-09T01:02:44.931000",
          "2024-12-09T01:03:00.740000",
          "2024-12-09T01:03:00.740000",
          "2024-12-09T01:03:00.740000",
          "2024-12-09T01:03:00.740000",
          "2024-12-09T01:03:17.553000",
          "2024-12-09T01:03:17.553000",
          "2024-12-09T01:03:17.553000",
          "2024-12-09T01:03:17.553000",
          "2024-12-09T01:04:19.592000",
          "2024-12-09T01:04:19.592000",
          "2024-12-09T01:04:19.592000",
          "2024-12-09T01:04:19.592000",
          "2024-12-09T01:05:20.830000",
          "2024-12-09T01:05:20.830000",
          "2024-12-09T01:05:20.830000",
          "2024-12-09T01:05:20.830000",
          "2024-12-09T01:06:24.671000",
          "2024-12-09T01:06:24.671000",
          "2024-12-09T01:06:24.671000",
          "2024-12-09T01:06:24.671000",
          "2024-12-09T01:07:58.533000",
          "2024-12-09T01:07:58.533000",
          "2024-12-09T01:07:58.533000",
          "2024-12-09T01:07:58.533000",
          "2024-12-09T01:09:36.995000",
          "2024-12-09T01:09:36.995000",
          "2024-12-09T01:09:36.995000",
          "2024-12-09T01:09:36.995000",
          "2024-12-09T01:11:36.872000",
          "2024-12-09T01:11:36.872000",
          "2024-12-09T01:11:36.872000",
          "2024-12-09T01:11:36.872000",
          "2024-12-09T01:13:33.946000",
          "2024-12-09T01:13:33.946000",
          "2024-12-09T01:13:33.946000",
          "2024-12-09T01:13:33.946000",
          "2024-12-09T01:15:39.423000",
          "2024-12-09T01:15:39.423000",
          "2024-12-09T01:15:39.423000",
          "2024-12-09T01:15:39.423000",
          "2024-12-09T01:17:38.900000",
          "2024-12-09T01:17:38.900000",
          "2024-12-09T01:17:38.900000",
          "2024-12-09T01:17:38.900000",
          "2024-12-09T01:19:05.354000",
          "2024-12-09T01:19:05.354000",
          "2024-12-09T01:19:05.354000",
          "2024-12-09T01:19:05.354000",
          "2024-12-09T01:19:06.155000",
          "2024-12-09T01:19:06.155000",
          "2024-12-09T01:19:06.155000",
          "2024-12-09T01:19:06.155000",
          "2024-12-09T01:19:07.156000",
          "2024-12-09T01:19:07.156000",
          "2024-12-09T01:19:07.156000",
          "2024-12-09T01:19:07.156000",
          "2024-12-09T01:19:07.957000",
          "2024-12-09T01:19:07.957000",
          "2024-12-09T01:19:07.957000",
          "2024-12-09T01:19:07.957000",
          "2024-12-09T01:19:08.556000",
          "2024-12-09T01:19:08.556000",
          "2024-12-09T01:19:08.556000",
          "2024-12-09T01:19:08.556000",
          "2024-12-09T01:19:12.558000",
          "2024-12-09T01:19:12.558000",
          "2024-12-09T01:19:12.558000",
          "2024-12-09T01:19:12.558000",
          "2024-12-09T01:19:13.159000",
          "2024-12-09T01:19:13.159000",
          "2024-12-09T01:19:13.159000",
          "2024-12-09T01:19:13.159000",
          "2024-12-09T01:19:13.560000",
          "2024-12-09T01:19:13.560000",
          "2024-12-09T01:19:13.560000",
          "2024-12-09T01:19:13.560000",
          "2024-12-09T01:19:13.960000",
          "2024-12-09T01:19:13.960000",
          "2024-12-09T01:19:13.960000",
          "2024-12-09T01:19:13.960000",
          "2024-12-09T01:19:14.360000",
          "2024-12-09T01:19:14.360000",
          "2024-12-09T01:19:14.360000",
          "2024-12-09T01:19:14.360000",
          "2024-12-09T01:19:14.761000",
          "2024-12-09T01:19:14.761000",
          "2024-12-09T01:19:14.761000",
          "2024-12-09T01:19:14.761000",
          "2024-12-09T01:19:15.163000",
          "2024-12-09T01:19:15.163000",
          "2024-12-09T01:19:15.163000",
          "2024-12-09T01:19:15.163000",
          "2024-12-09T01:19:15.560000",
          "2024-12-09T01:19:15.560000",
          "2024-12-09T01:19:15.560000",
          "2024-12-09T01:19:15.560000",
          "2024-12-09T01:19:15.963000",
          "2024-12-09T01:19:15.963000",
          "2024-12-09T01:19:15.963000",
          "2024-12-09T01:19:15.963000",
          "2024-12-09T01:19:16.561000",
          "2024-12-09T01:19:16.561000",
          "2024-12-09T01:19:16.561000",
          "2024-12-09T01:19:16.561000",
          "2024-12-09T01:19:16.964000",
          "2024-12-09T01:19:16.964000",
          "2024-12-09T01:19:16.964000",
          "2024-12-09T01:19:16.964000",
          "2024-12-09T01:19:17.563000",
          "2024-12-09T01:19:17.563000",
          "2024-12-09T01:19:17.563000",
          "2024-12-09T01:19:17.563000",
          "2024-12-09T01:19:18.163000",
          "2024-12-09T01:19:18.163000",
          "2024-12-09T01:19:18.163000",
          "2024-12-09T01:19:18.163000",
          "2024-12-09T01:19:18.762000",
          "2024-12-09T01:19:18.762000",
          "2024-12-09T01:19:18.762000",
          "2024-12-09T01:19:18.762000",
          "2024-12-09T01:19:19.163000",
          "2024-12-09T01:19:19.163000",
          "2024-12-09T01:19:19.163000",
          "2024-12-09T01:19:19.163000",
          "2024-12-09T01:19:19.966000",
          "2024-12-09T01:19:19.966000",
          "2024-12-09T01:19:19.966000",
          "2024-12-09T01:19:19.966000",
          "2024-12-09T01:19:20.766000",
          "2024-12-09T01:19:20.766000",
          "2024-12-09T01:19:20.766000",
          "2024-12-09T01:19:20.766000",
          "2024-12-09T01:19:21.766000",
          "2024-12-09T01:19:21.766000",
          "2024-12-09T01:19:21.766000",
          "2024-12-09T01:19:21.766000",
          "2024-12-09T01:19:22.966000",
          "2024-12-09T01:19:22.966000",
          "2024-12-09T01:19:22.966000",
          "2024-12-09T01:19:22.966000",
          "2024-12-09T01:19:23.966000",
          "2024-12-09T01:19:23.966000",
          "2024-12-09T01:19:23.966000",
          "2024-12-09T01:19:23.966000",
          "2024-12-09T01:19:24.968000",
          "2024-12-09T01:19:24.968000",
          "2024-12-09T01:19:24.968000",
          "2024-12-09T01:19:24.968000",
          "2024-12-09T01:19:26.970000",
          "2024-12-09T01:19:26.970000",
          "2024-12-09T01:19:26.970000",
          "2024-12-09T01:19:26.970000",
          "2024-12-09T01:19:28.569000",
          "2024-12-09T01:19:28.569000",
          "2024-12-09T01:19:28.569000",
          "2024-12-09T01:19:28.569000",
          "2024-12-09T01:19:29.770000",
          "2024-12-09T01:19:29.770000",
          "2024-12-09T01:19:29.770000",
          "2024-12-09T01:19:29.770000",
          "2024-12-09T01:19:33.774000",
          "2024-12-09T01:19:33.774000",
          "2024-12-09T01:19:33.774000",
          "2024-12-09T01:19:33.774000",
          "2024-12-09T01:19:36.175000",
          "2024-12-09T01:19:36.175000",
          "2024-12-09T01:19:36.175000",
          "2024-12-09T01:19:36.175000",
          "2024-12-09T01:19:38.377000",
          "2024-12-09T01:19:38.377000",
          "2024-12-09T01:19:38.377000",
          "2024-12-09T01:19:38.377000",
          "2024-12-09T01:19:39.578000",
          "2024-12-09T01:19:39.578000",
          "2024-12-09T01:19:39.578000",
          "2024-12-09T01:19:39.578000",
          "2024-12-09T01:19:40.577000",
          "2024-12-09T01:19:40.577000",
          "2024-12-09T01:19:40.577000",
          "2024-12-09T01:19:40.577000",
          "2024-12-09T01:19:41.578000",
          "2024-12-09T01:19:41.578000",
          "2024-12-09T01:19:41.578000",
          "2024-12-09T01:19:41.578000",
          "2024-12-09T01:19:42.578000",
          "2024-12-09T01:19:42.578000",
          "2024-12-09T01:19:42.578000",
          "2024-12-09T01:19:42.578000",
          "2024-12-09T01:19:43.780000",
          "2024-12-09T01:19:43.780000",
          "2024-12-09T01:19:43.780000",
          "2024-12-09T01:19:43.780000",
          "2024-12-09T01:19:44.580000",
          "2024-12-09T01:19:44.580000",
          "2024-12-09T01:19:44.580000",
          "2024-12-09T01:19:44.580000",
          "2024-12-09T01:19:45.580000",
          "2024-12-09T01:19:45.580000",
          "2024-12-09T01:19:45.580000",
          "2024-12-09T01:19:45.580000",
          "2024-12-09T01:19:46.581000",
          "2024-12-09T01:19:46.581000",
          "2024-12-09T01:19:46.581000",
          "2024-12-09T01:19:46.581000",
          "2024-12-09T01:19:47.983000",
          "2024-12-09T01:19:47.983000",
          "2024-12-09T01:19:47.983000",
          "2024-12-09T01:19:47.983000",
          "2024-12-09T01:19:48.983000",
          "2024-12-09T01:19:48.983000",
          "2024-12-09T01:19:48.983000",
          "2024-12-09T01:19:48.983000",
          "2024-12-09T01:19:50.184000",
          "2024-12-09T01:19:50.184000",
          "2024-12-09T01:19:50.184000",
          "2024-12-09T01:19:50.184000",
          "2024-12-09T01:19:51.584000",
          "2024-12-09T01:19:51.584000",
          "2024-12-09T01:19:51.584000",
          "2024-12-09T01:19:51.584000",
          "2024-12-09T01:19:53.786000",
          "2024-12-09T01:19:53.786000",
          "2024-12-09T01:19:53.786000",
          "2024-12-09T01:19:53.786000",
          "2024-12-09T01:19:55.587000",
          "2024-12-09T01:19:55.587000",
          "2024-12-09T01:19:55.587000",
          "2024-12-09T01:19:55.587000",
          "2024-12-09T01:19:58.389000",
          "2024-12-09T01:19:58.389000",
          "2024-12-09T01:19:58.389000",
          "2024-12-09T01:19:58.389000",
          "2024-12-09T01:20:01.592000",
          "2024-12-09T01:20:01.592000",
          "2024-12-09T01:20:01.592000",
          "2024-12-09T01:20:01.592000",
          "2024-12-09T01:20:10.396000",
          "2024-12-09T01:20:10.396000",
          "2024-12-09T01:20:10.396000",
          "2024-12-09T01:20:10.396000",
          "2024-12-09T01:20:24.205000",
          "2024-12-09T01:20:24.205000",
          "2024-12-09T01:20:24.205000",
          "2024-12-09T01:20:24.205000",
          "2024-12-09T01:20:36.213000",
          "2024-12-09T01:20:36.213000",
          "2024-12-09T01:20:36.213000",
          "2024-12-09T01:20:36.213000",
          "2024-12-09T01:20:42.216000",
          "2024-12-09T01:20:42.216000",
          "2024-12-09T01:20:42.216000",
          "2024-12-09T01:20:42.216000",
          "2024-12-09T01:20:49.021000",
          "2024-12-09T01:20:49.021000",
          "2024-12-09T01:20:49.021000",
          "2024-12-09T01:20:49.021000",
          "2024-12-09T01:20:55.625000",
          "2024-12-09T01:20:55.625000",
          "2024-12-09T01:20:55.625000",
          "2024-12-09T01:20:55.625000",
          "2024-12-09T01:21:05.230000",
          "2024-12-09T01:21:05.230000",
          "2024-12-09T01:21:05.230000",
          "2024-12-09T01:21:05.230000",
          "2024-12-09T01:21:16.038000",
          "2024-12-09T01:21:16.038000",
          "2024-12-09T01:21:16.038000",
          "2024-12-09T01:21:16.038000",
          "2024-12-09T01:22:00.667000",
          "2024-12-09T01:22:00.667000",
          "2024-12-09T01:22:00.667000",
          "2024-12-09T01:22:00.667000",
          "2024-12-09T01:22:11.274000",
          "2024-12-09T01:22:11.274000",
          "2024-12-09T01:22:11.274000",
          "2024-12-09T01:22:11.274000",
          "2024-12-09T01:22:22.281000",
          "2024-12-09T01:22:22.281000",
          "2024-12-09T01:22:22.281000",
          "2024-12-09T01:22:22.281000",
          "2024-12-09T01:22:34.889000",
          "2024-12-09T01:22:34.889000",
          "2024-12-09T01:22:34.889000",
          "2024-12-09T01:22:34.889000",
          "2024-12-09T01:22:44.694000",
          "2024-12-09T01:22:44.694000",
          "2024-12-09T01:22:44.694000",
          "2024-12-09T01:22:44.694000",
          "2024-12-09T01:22:54.901000",
          "2024-12-09T01:22:54.901000",
          "2024-12-09T01:22:54.901000",
          "2024-12-09T01:22:54.901000",
          "2024-12-09T01:23:05.305000",
          "2024-12-09T01:23:05.305000",
          "2024-12-09T01:23:05.305000",
          "2024-12-09T01:23:05.305000",
          "2024-12-09T01:23:19.916000",
          "2024-12-09T01:23:19.916000",
          "2024-12-09T01:23:19.916000",
          "2024-12-09T01:23:19.916000",
          "2024-12-09T01:23:33.725000",
          "2024-12-09T01:23:33.725000",
          "2024-12-09T01:23:33.725000",
          "2024-12-09T01:23:33.725000",
          "2024-12-09T01:23:50.936000",
          "2024-12-09T01:23:50.936000",
          "2024-12-09T01:23:50.936000",
          "2024-12-09T01:23:50.936000",
          "2024-12-09T01:24:04.745000",
          "2024-12-09T01:24:04.745000",
          "2024-12-09T01:24:04.745000",
          "2024-12-09T01:24:04.745000",
          "2024-12-09T01:24:16.153000",
          "2024-12-09T01:24:16.153000",
          "2024-12-09T01:24:16.153000",
          "2024-12-09T01:24:16.153000",
          "2024-12-09T01:24:30.961000",
          "2024-12-09T01:24:30.961000",
          "2024-12-09T01:24:30.961000",
          "2024-12-09T01:24:30.961000",
          "2024-12-09T01:24:33.363000",
          "2024-12-09T01:24:33.363000",
          "2024-12-09T01:24:33.363000",
          "2024-12-09T01:24:33.363000",
          "2024-12-09T01:24:37.967000",
          "2024-12-09T01:24:37.967000",
          "2024-12-09T01:24:37.967000",
          "2024-12-09T01:24:37.967000",
          "2024-12-09T01:24:46.571000",
          "2024-12-09T01:24:46.571000",
          "2024-12-09T01:24:46.571000",
          "2024-12-09T01:24:46.571000",
          "2024-12-09T01:24:48.573000",
          "2024-12-09T01:24:48.573000",
          "2024-12-09T01:24:48.573000",
          "2024-12-09T01:24:48.573000",
          "2024-12-09T01:24:51.574000",
          "2024-12-09T01:24:51.574000",
          "2024-12-09T01:24:51.574000",
          "2024-12-09T01:24:51.574000",
          "2024-12-09T01:24:53.576000",
          "2024-12-09T01:24:53.576000",
          "2024-12-09T01:24:53.576000",
          "2024-12-09T01:24:53.576000",
          "2024-12-09T01:24:54.577000",
          "2024-12-09T01:24:54.577000",
          "2024-12-09T01:24:54.577000",
          "2024-12-09T01:24:54.577000",
          "2024-12-09T01:24:54.977000",
          "2024-12-09T01:24:54.977000",
          "2024-12-09T01:24:54.977000",
          "2024-12-09T01:24:54.977000",
          "2024-12-09T01:24:55.580000",
          "2024-12-09T01:24:55.580000",
          "2024-12-09T01:24:55.580000",
          "2024-12-09T01:24:55.580000",
          "2024-12-09T01:24:55.977000",
          "2024-12-09T01:24:55.977000",
          "2024-12-09T01:24:55.977000",
          "2024-12-09T01:24:55.977000",
          "2024-12-09T01:24:56.378000",
          "2024-12-09T01:24:56.378000",
          "2024-12-09T01:24:56.378000",
          "2024-12-09T01:24:56.378000",
          "2024-12-09T01:24:56.979000",
          "2024-12-09T01:24:56.979000",
          "2024-12-09T01:24:56.979000",
          "2024-12-09T01:24:56.979000",
          "2024-12-09T01:24:57.379000",
          "2024-12-09T01:24:57.379000",
          "2024-12-09T01:24:57.379000",
          "2024-12-09T01:24:57.379000",
          "2024-12-09T01:24:57.779000",
          "2024-12-09T01:24:57.779000",
          "2024-12-09T01:24:57.779000",
          "2024-12-09T01:24:57.779000",
          "2024-12-09T01:24:58.179000",
          "2024-12-09T01:24:58.179000",
          "2024-12-09T01:24:58.179000",
          "2024-12-09T01:24:58.179000",
          "2024-12-09T01:24:58.579000",
          "2024-12-09T01:24:58.579000",
          "2024-12-09T01:24:58.579000",
          "2024-12-09T01:24:58.579000",
          "2024-12-09T01:24:58.980000",
          "2024-12-09T01:24:58.980000",
          "2024-12-09T01:24:58.980000",
          "2024-12-09T01:24:58.980000",
          "2024-12-09T01:24:59.379000",
          "2024-12-09T01:24:59.379000",
          "2024-12-09T01:24:59.379000",
          "2024-12-09T01:24:59.379000",
          "2024-12-09T01:24:59.780000",
          "2024-12-09T01:24:59.780000",
          "2024-12-09T01:24:59.780000",
          "2024-12-09T01:24:59.780000",
          "2024-12-09T01:25:00.181000",
          "2024-12-09T01:25:00.181000",
          "2024-12-09T01:25:00.181000",
          "2024-12-09T01:25:00.181000",
          "2024-12-09T01:25:00.381000",
          "2024-12-09T01:25:00.381000",
          "2024-12-09T01:25:00.381000",
          "2024-12-09T01:25:00.381000",
          "2024-12-09T01:25:00.781000",
          "2024-12-09T01:25:00.781000",
          "2024-12-09T01:25:00.781000",
          "2024-12-09T01:25:00.781000",
          "2024-12-09T01:25:01.381000",
          "2024-12-09T01:25:01.381000",
          "2024-12-09T01:25:01.381000",
          "2024-12-09T01:25:01.381000",
          "2024-12-09T01:25:01.782000",
          "2024-12-09T01:25:01.782000",
          "2024-12-09T01:25:01.782000",
          "2024-12-09T01:25:01.782000",
          "2024-12-09T01:25:02.182000",
          "2024-12-09T01:25:02.182000",
          "2024-12-09T01:25:02.182000",
          "2024-12-09T01:25:02.182000",
          "2024-12-09T01:25:02.783000",
          "2024-12-09T01:25:02.783000",
          "2024-12-09T01:25:02.783000",
          "2024-12-09T01:25:02.783000",
          "2024-12-09T01:25:03.182000",
          "2024-12-09T01:25:03.182000",
          "2024-12-09T01:25:03.182000",
          "2024-12-09T01:25:03.182000",
          "2024-12-09T01:25:03.783000",
          "2024-12-09T01:25:03.783000",
          "2024-12-09T01:25:03.783000",
          "2024-12-09T01:25:03.783000",
          "2024-12-09T01:25:04.383000",
          "2024-12-09T01:25:04.383000",
          "2024-12-09T01:25:04.383000",
          "2024-12-09T01:25:04.383000",
          "2024-12-09T01:25:04.784000",
          "2024-12-09T01:25:04.784000",
          "2024-12-09T01:25:04.784000",
          "2024-12-09T01:25:04.784000",
          "2024-12-09T01:25:05.385000",
          "2024-12-09T01:25:05.385000",
          "2024-12-09T01:25:05.385000",
          "2024-12-09T01:25:05.385000",
          "2024-12-09T01:25:05.984000",
          "2024-12-09T01:25:05.984000",
          "2024-12-09T01:25:05.984000",
          "2024-12-09T01:25:05.984000",
          "2024-12-09T01:25:06.785000",
          "2024-12-09T01:25:06.785000",
          "2024-12-09T01:25:06.785000",
          "2024-12-09T01:25:06.785000",
          "2024-12-09T01:25:07.585000",
          "2024-12-09T01:25:07.585000",
          "2024-12-09T01:25:07.585000",
          "2024-12-09T01:25:07.585000",
          "2024-12-09T01:25:08.587000",
          "2024-12-09T01:25:08.587000",
          "2024-12-09T01:25:08.587000",
          "2024-12-09T01:25:08.587000",
          "2024-12-09T01:25:09.986000",
          "2024-12-09T01:25:09.986000",
          "2024-12-09T01:25:09.986000",
          "2024-12-09T01:25:09.986000",
          "2024-12-09T01:25:13.790000",
          "2024-12-09T01:25:13.790000",
          "2024-12-09T01:25:13.790000",
          "2024-12-09T01:25:13.790000",
          "2024-12-09T01:25:14.990000",
          "2024-12-09T01:25:14.990000",
          "2024-12-09T01:25:14.990000",
          "2024-12-09T01:25:14.990000",
          "2024-12-09T01:25:15.990000",
          "2024-12-09T01:25:15.990000",
          "2024-12-09T01:25:15.990000",
          "2024-12-09T01:25:15.990000",
          "2024-12-09T01:25:16.992000",
          "2024-12-09T01:25:16.992000",
          "2024-12-09T01:25:16.992000",
          "2024-12-09T01:25:16.992000",
          "2024-12-09T01:25:17.791000",
          "2024-12-09T01:25:17.791000",
          "2024-12-09T01:25:17.791000",
          "2024-12-09T01:25:17.791000",
          "2024-12-09T01:25:18.592000",
          "2024-12-09T01:25:18.592000",
          "2024-12-09T01:25:18.592000",
          "2024-12-09T01:25:18.592000",
          "2024-12-09T01:25:18.992000",
          "2024-12-09T01:25:18.992000",
          "2024-12-09T01:25:18.992000",
          "2024-12-09T01:25:18.992000",
          "2024-12-09T01:25:19.591000",
          "2024-12-09T01:25:19.591000",
          "2024-12-09T01:25:19.591000",
          "2024-12-09T01:25:19.591000",
          "2024-12-09T01:25:19.992000",
          "2024-12-09T01:25:19.992000",
          "2024-12-09T01:25:19.992000",
          "2024-12-09T01:25:19.992000",
          "2024-12-09T01:25:20.793000",
          "2024-12-09T01:25:20.793000",
          "2024-12-09T01:25:20.793000",
          "2024-12-09T01:25:20.793000",
          "2024-12-09T01:25:21.394000",
          "2024-12-09T01:25:21.394000",
          "2024-12-09T01:25:21.394000",
          "2024-12-09T01:25:21.394000",
          "2024-12-09T01:25:21.995000",
          "2024-12-09T01:25:21.995000",
          "2024-12-09T01:25:21.995000",
          "2024-12-09T01:25:21.995000",
          "2024-12-09T01:25:22.595000",
          "2024-12-09T01:25:22.595000",
          "2024-12-09T01:25:22.595000",
          "2024-12-09T01:25:22.595000",
          "2024-12-09T01:25:23.195000",
          "2024-12-09T01:25:23.195000",
          "2024-12-09T01:25:23.195000",
          "2024-12-09T01:25:23.195000",
          "2024-12-09T01:25:23.796000",
          "2024-12-09T01:25:23.796000",
          "2024-12-09T01:25:23.796000",
          "2024-12-09T01:25:23.796000",
          "2024-12-09T01:25:24.396000",
          "2024-12-09T01:25:24.396000",
          "2024-12-09T01:25:24.396000",
          "2024-12-09T01:25:24.396000",
          "2024-12-09T01:25:24.996000",
          "2024-12-09T01:25:24.996000",
          "2024-12-09T01:25:24.996000",
          "2024-12-09T01:25:24.996000",
          "2024-12-09T01:25:25.596000",
          "2024-12-09T01:25:25.596000",
          "2024-12-09T01:25:25.596000",
          "2024-12-09T01:25:25.596000",
          "2024-12-09T01:25:26.599000",
          "2024-12-09T01:25:26.599000",
          "2024-12-09T01:25:26.599000",
          "2024-12-09T01:25:26.599000",
          "2024-12-09T01:25:27.198000",
          "2024-12-09T01:25:27.198000",
          "2024-12-09T01:25:27.198000",
          "2024-12-09T01:25:27.198000",
          "2024-12-09T01:25:27.798000",
          "2024-12-09T01:25:27.798000",
          "2024-12-09T01:25:27.798000",
          "2024-12-09T01:25:27.798000",
          "2024-12-09T01:25:28.598000",
          "2024-12-09T01:25:28.598000",
          "2024-12-09T01:25:28.598000",
          "2024-12-09T01:25:28.598000",
          "2024-12-09T01:25:29.399000",
          "2024-12-09T01:25:29.399000",
          "2024-12-09T01:25:29.399000",
          "2024-12-09T01:25:29.399000",
          "2024-12-09T01:25:30.400000",
          "2024-12-09T01:25:30.400000",
          "2024-12-09T01:25:30.400000",
          "2024-12-09T01:25:30.400000",
          "2024-12-09T01:25:31.400000",
          "2024-12-09T01:25:31.400000",
          "2024-12-09T01:25:31.400000",
          "2024-12-09T01:25:31.400000",
          "2024-12-09T01:25:32.400000",
          "2024-12-09T01:25:32.400000",
          "2024-12-09T01:25:32.400000",
          "2024-12-09T01:25:32.400000",
          "2024-12-09T01:25:33.201000",
          "2024-12-09T01:25:33.201000",
          "2024-12-09T01:25:33.201000",
          "2024-12-09T01:25:33.201000",
          "2024-12-09T01:25:34.203000",
          "2024-12-09T01:25:34.203000",
          "2024-12-09T01:25:34.203000",
          "2024-12-09T01:25:34.203000",
          "2024-12-09T01:25:35.404000",
          "2024-12-09T01:25:35.404000",
          "2024-12-09T01:25:35.404000",
          "2024-12-09T01:25:35.404000",
          "2024-12-09T01:25:36.603000",
          "2024-12-09T01:25:36.603000",
          "2024-12-09T01:25:36.603000",
          "2024-12-09T01:25:36.603000",
          "2024-12-09T01:25:38.005000",
          "2024-12-09T01:25:38.005000",
          "2024-12-09T01:25:38.005000",
          "2024-12-09T01:25:38.005000",
          "2024-12-09T01:25:39.004000",
          "2024-12-09T01:25:39.004000",
          "2024-12-09T01:25:39.004000",
          "2024-12-09T01:25:39.004000",
          "2024-12-09T01:25:40.406000",
          "2024-12-09T01:25:40.406000",
          "2024-12-09T01:25:40.406000",
          "2024-12-09T01:25:40.406000",
          "2024-12-09T01:25:42.008000",
          "2024-12-09T01:25:42.008000",
          "2024-12-09T01:25:42.008000",
          "2024-12-09T01:25:42.008000",
          "2024-12-09T01:25:43.410000",
          "2024-12-09T01:25:43.410000",
          "2024-12-09T01:25:43.410000",
          "2024-12-09T01:25:43.410000",
          "2024-12-09T01:25:45.009000",
          "2024-12-09T01:25:45.009000",
          "2024-12-09T01:25:45.009000",
          "2024-12-09T01:25:45.009000",
          "2024-12-09T01:25:47.211000",
          "2024-12-09T01:25:47.211000",
          "2024-12-09T01:25:47.211000",
          "2024-12-09T01:25:47.211000",
          "2024-12-09T01:25:49.012000",
          "2024-12-09T01:25:49.012000",
          "2024-12-09T01:25:49.012000",
          "2024-12-09T01:25:49.012000",
          "2024-12-09T01:25:51.012000",
          "2024-12-09T01:25:51.012000",
          "2024-12-09T01:25:51.012000",
          "2024-12-09T01:25:51.012000",
          "2024-12-09T01:25:54.014000",
          "2024-12-09T01:25:54.014000",
          "2024-12-09T01:25:54.014000",
          "2024-12-09T01:25:54.014000",
          "2024-12-09T01:25:56.415000",
          "2024-12-09T01:25:56.415000",
          "2024-12-09T01:25:56.415000",
          "2024-12-09T01:25:56.415000",
          "2024-12-09T01:26:00.619000",
          "2024-12-09T01:26:00.619000",
          "2024-12-09T01:26:00.619000",
          "2024-12-09T01:26:00.619000",
          "2024-12-09T01:26:04.822000",
          "2024-12-09T01:26:04.822000",
          "2024-12-09T01:26:04.822000",
          "2024-12-09T01:26:04.822000",
          "2024-12-09T01:26:10.227000",
          "2024-12-09T01:26:10.227000",
          "2024-12-09T01:26:10.227000",
          "2024-12-09T01:26:10.227000",
          "2024-12-09T01:26:17.031000",
          "2024-12-09T01:26:17.031000",
          "2024-12-09T01:26:17.031000",
          "2024-12-09T01:26:17.031000",
          "2024-12-09T01:26:27.237000",
          "2024-12-09T01:26:27.237000",
          "2024-12-09T01:26:27.237000",
          "2024-12-09T01:26:27.237000",
          "2024-12-09T01:26:59.657000",
          "2024-12-09T01:26:59.657000",
          "2024-12-09T01:26:59.657000",
          "2024-12-09T01:26:59.657000",
          "2024-12-09T01:27:08.263000",
          "2024-12-09T01:27:08.263000",
          "2024-12-09T01:27:08.263000",
          "2024-12-09T01:27:08.263000",
          "2024-12-09T01:27:14.266000",
          "2024-12-09T01:27:14.266000",
          "2024-12-09T01:27:14.266000",
          "2024-12-09T01:27:14.266000",
          "2024-12-09T01:27:37.978000",
          "2024-12-09T01:27:37.978000",
          "2024-12-09T01:27:37.978000",
          "2024-12-09T01:27:37.978000",
          "2024-12-09T01:27:41.780000",
          "2024-12-09T01:27:41.780000",
          "2024-12-09T01:27:41.780000",
          "2024-12-09T01:27:41.780000",
          "2024-12-09T01:27:47.185000",
          "2024-12-09T01:27:47.185000",
          "2024-12-09T01:27:47.185000",
          "2024-12-09T01:27:47.185000",
          "2024-12-09T01:27:52.787000",
          "2024-12-09T01:27:52.787000",
          "2024-12-09T01:27:52.787000",
          "2024-12-09T01:27:52.787000",
          "2024-12-09T01:27:58.591000",
          "2024-12-09T01:27:58.591000",
          "2024-12-09T01:27:58.591000",
          "2024-12-09T01:27:58.591000",
          "2024-12-09T01:28:05.596000",
          "2024-12-09T01:28:05.596000",
          "2024-12-09T01:28:05.596000",
          "2024-12-09T01:28:05.596000",
          "2024-12-09T01:28:11.399000",
          "2024-12-09T01:28:11.399000",
          "2024-12-09T01:28:11.399000",
          "2024-12-09T01:28:11.399000",
          "2024-12-09T01:28:18.404000",
          "2024-12-09T01:28:18.404000",
          "2024-12-09T01:28:18.404000",
          "2024-12-09T01:28:18.404000",
          "2024-12-09T01:28:28.210000",
          "2024-12-09T01:28:28.210000",
          "2024-12-09T01:28:28.210000",
          "2024-12-09T01:28:28.210000",
          "2024-12-09T01:29:03.432000",
          "2024-12-09T01:29:03.432000",
          "2024-12-09T01:29:03.432000",
          "2024-12-09T01:29:03.432000",
          "2024-12-09T01:30:29.287000",
          "2024-12-09T01:30:29.287000",
          "2024-12-09T01:30:29.287000",
          "2024-12-09T01:30:29.287000",
          "2024-12-09T01:31:19.719000",
          "2024-12-09T01:31:19.719000",
          "2024-12-09T01:31:19.719000",
          "2024-12-09T01:31:19.719000",
          "2024-12-09T01:32:00.546000",
          "2024-12-09T01:32:00.546000",
          "2024-12-09T01:32:00.546000",
          "2024-12-09T01:32:00.546000",
          "2024-12-09T01:32:40.171000",
          "2024-12-09T01:32:40.171000",
          "2024-12-09T01:32:40.171000",
          "2024-12-09T01:32:40.171000",
          "2024-12-09T01:33:28.801000",
          "2024-12-09T01:33:28.801000",
          "2024-12-09T01:33:28.801000",
          "2024-12-09T01:33:28.801000",
          "2024-12-09T01:34:09.426000",
          "2024-12-09T01:34:09.426000",
          "2024-12-09T01:34:09.426000",
          "2024-12-09T01:34:09.426000",
          "2024-12-09T01:35:13.472000",
          "2024-12-09T01:35:13.472000",
          "2024-12-09T01:35:13.472000",
          "2024-12-09T01:35:13.472000",
          "2024-12-09T01:35:58.502000",
          "2024-12-09T01:35:58.502000",
          "2024-12-09T01:35:58.502000",
          "2024-12-09T01:35:58.502000",
          "2024-12-09T01:36:45.530000",
          "2024-12-09T01:36:45.530000",
          "2024-12-09T01:36:45.530000",
          "2024-12-09T01:36:45.530000",
          "2024-12-09T01:37:48.569000",
          "2024-12-09T01:37:48.569000",
          "2024-12-09T01:37:48.569000",
          "2024-12-09T01:37:48.569000",
          "2024-12-09T01:38:34.399000",
          "2024-12-09T01:38:34.399000",
          "2024-12-09T01:38:34.399000",
          "2024-12-09T01:38:34.399000",
          "2024-12-09T01:39:35.239000",
          "2024-12-09T01:39:35.239000",
          "2024-12-09T01:39:35.239000",
          "2024-12-09T01:39:35.239000",
          "2024-12-09T01:40:38.483000",
          "2024-12-09T01:40:38.483000",
          "2024-12-09T01:40:38.483000",
          "2024-12-09T01:40:38.483000",
          "2024-12-09T01:41:44.719000",
          "2024-12-09T01:41:44.719000",
          "2024-12-09T01:41:44.719000",
          "2024-12-09T01:41:44.719000",
          "2024-12-09T01:42:48.561000",
          "2024-12-09T01:42:48.561000",
          "2024-12-09T01:42:48.561000",
          "2024-12-09T01:42:48.561000",
          "2024-12-09T01:43:59.604000",
          "2024-12-09T01:43:59.604000",
          "2024-12-09T01:43:59.604000",
          "2024-12-09T01:43:59.604000",
          "2024-12-09T01:45:07.648000",
          "2024-12-09T01:45:07.648000",
          "2024-12-09T01:45:07.648000",
          "2024-12-09T01:45:07.648000",
          "2024-12-09T01:46:14.292000",
          "2024-12-09T01:46:14.292000",
          "2024-12-09T01:46:14.292000",
          "2024-12-09T01:46:14.292000",
          "2024-12-09T01:46:15.094000",
          "2024-12-09T01:46:15.094000",
          "2024-12-09T01:46:15.094000",
          "2024-12-09T01:46:15.094000",
          "2024-12-09T01:46:15.895000",
          "2024-12-09T01:46:15.895000",
          "2024-12-09T01:46:15.895000",
          "2024-12-09T01:46:15.895000",
          "2024-12-09T01:46:16.896000",
          "2024-12-09T01:46:16.896000",
          "2024-12-09T01:46:16.896000",
          "2024-12-09T01:46:16.896000",
          "2024-12-09T01:46:17.495000",
          "2024-12-09T01:46:17.495000",
          "2024-12-09T01:46:17.495000",
          "2024-12-09T01:46:17.495000",
          "2024-12-09T01:46:18.096000",
          "2024-12-09T01:46:18.096000",
          "2024-12-09T01:46:18.096000",
          "2024-12-09T01:46:18.096000",
          "2024-12-09T01:46:18.895000",
          "2024-12-09T01:46:18.895000",
          "2024-12-09T01:46:18.895000",
          "2024-12-09T01:46:18.895000",
          "2024-12-09T01:46:19.496000",
          "2024-12-09T01:46:19.496000",
          "2024-12-09T01:46:19.496000",
          "2024-12-09T01:46:19.496000",
          "2024-12-09T01:46:20.096000",
          "2024-12-09T01:46:20.096000",
          "2024-12-09T01:46:20.096000",
          "2024-12-09T01:46:20.096000",
          "2024-12-09T01:46:21.098000",
          "2024-12-09T01:46:21.098000",
          "2024-12-09T01:46:21.098000",
          "2024-12-09T01:46:21.098000",
          "2024-12-09T01:46:21.697000",
          "2024-12-09T01:46:21.697000",
          "2024-12-09T01:46:21.697000",
          "2024-12-09T01:46:21.697000",
          "2024-12-09T01:46:22.497000",
          "2024-12-09T01:46:22.497000",
          "2024-12-09T01:46:22.497000",
          "2024-12-09T01:46:22.497000",
          "2024-12-09T01:46:23.098000",
          "2024-12-09T01:46:23.098000",
          "2024-12-09T01:46:23.098000",
          "2024-12-09T01:46:23.098000",
          "2024-12-09T01:46:23.899000",
          "2024-12-09T01:46:23.899000",
          "2024-12-09T01:46:23.899000",
          "2024-12-09T01:46:23.899000",
          "2024-12-09T01:46:24.700000",
          "2024-12-09T01:46:24.700000",
          "2024-12-09T01:46:24.700000",
          "2024-12-09T01:46:24.700000",
          "2024-12-09T01:46:25.701000",
          "2024-12-09T01:46:25.701000",
          "2024-12-09T01:46:25.701000",
          "2024-12-09T01:46:25.701000",
          "2024-12-09T01:46:26.300000",
          "2024-12-09T01:46:26.300000",
          "2024-12-09T01:46:26.300000",
          "2024-12-09T01:46:26.300000",
          "2024-12-09T01:46:27.100000",
          "2024-12-09T01:46:27.100000",
          "2024-12-09T01:46:27.100000",
          "2024-12-09T01:46:27.100000",
          "2024-12-09T01:46:27.702000",
          "2024-12-09T01:46:27.702000",
          "2024-12-09T01:46:27.702000",
          "2024-12-09T01:46:27.702000",
          "2024-12-09T01:46:28.503000",
          "2024-12-09T01:46:28.503000",
          "2024-12-09T01:46:28.503000",
          "2024-12-09T01:46:28.503000",
          "2024-12-09T01:46:29.303000",
          "2024-12-09T01:46:29.303000",
          "2024-12-09T01:46:29.303000",
          "2024-12-09T01:46:29.303000",
          "2024-12-09T01:46:30.302000",
          "2024-12-09T01:46:30.302000",
          "2024-12-09T01:46:30.302000",
          "2024-12-09T01:46:30.302000",
          "2024-12-09T01:46:31.103000",
          "2024-12-09T01:46:31.103000",
          "2024-12-09T01:46:31.103000",
          "2024-12-09T01:46:31.103000",
          "2024-12-09T01:46:32.104000",
          "2024-12-09T01:46:32.104000",
          "2024-12-09T01:46:32.104000",
          "2024-12-09T01:46:32.104000",
          "2024-12-09T01:46:33.104000",
          "2024-12-09T01:46:33.104000",
          "2024-12-09T01:46:33.104000",
          "2024-12-09T01:46:33.104000",
          "2024-12-09T01:46:33.907000",
          "2024-12-09T01:46:33.907000",
          "2024-12-09T01:46:33.907000",
          "2024-12-09T01:46:33.907000",
          "2024-12-09T01:46:36.307000",
          "2024-12-09T01:46:36.307000",
          "2024-12-09T01:46:36.307000",
          "2024-12-09T01:46:36.307000",
          "2024-12-09T01:46:38.909000",
          "2024-12-09T01:46:38.909000",
          "2024-12-09T01:46:38.909000",
          "2024-12-09T01:46:38.909000",
          "2024-12-09T01:46:51.116000",
          "2024-12-09T01:46:51.116000",
          "2024-12-09T01:46:51.116000",
          "2024-12-09T01:46:51.116000",
          "2024-12-09T01:46:53.517000",
          "2024-12-09T01:46:53.517000",
          "2024-12-09T01:46:53.517000",
          "2024-12-09T01:46:53.517000",
          "2024-12-09T01:46:56.120000",
          "2024-12-09T01:46:56.120000",
          "2024-12-09T01:46:56.120000",
          "2024-12-09T01:46:56.120000",
          "2024-12-09T01:46:58.120000",
          "2024-12-09T01:46:58.120000",
          "2024-12-09T01:46:58.120000",
          "2024-12-09T01:46:58.120000",
          "2024-12-09T01:47:00.522000",
          "2024-12-09T01:47:00.522000",
          "2024-12-09T01:47:00.522000",
          "2024-12-09T01:47:00.522000",
          "2024-12-09T01:47:03.123000",
          "2024-12-09T01:47:03.123000",
          "2024-12-09T01:47:03.123000",
          "2024-12-09T01:47:03.123000",
          "2024-12-09T01:47:06.126000",
          "2024-12-09T01:47:06.126000",
          "2024-12-09T01:47:06.126000",
          "2024-12-09T01:47:06.126000",
          "2024-12-09T01:47:08.927000",
          "2024-12-09T01:47:08.927000",
          "2024-12-09T01:47:08.927000",
          "2024-12-09T01:47:08.927000",
          "2024-12-09T01:47:12.733000",
          "2024-12-09T01:47:12.733000",
          "2024-12-09T01:47:12.733000",
          "2024-12-09T01:47:12.733000",
          "2024-12-09T01:47:18.934000",
          "2024-12-09T01:47:18.934000",
          "2024-12-09T01:47:18.934000",
          "2024-12-09T01:47:18.934000",
          "2024-12-09T01:47:36.545000",
          "2024-12-09T01:47:36.545000",
          "2024-12-09T01:47:36.545000",
          "2024-12-09T01:47:36.545000",
          "2024-12-09T01:47:46.751000",
          "2024-12-09T01:47:46.751000",
          "2024-12-09T01:47:46.751000",
          "2024-12-09T01:47:46.751000",
          "2024-12-09T01:47:58.159000",
          "2024-12-09T01:47:58.159000",
          "2024-12-09T01:47:58.159000",
          "2024-12-09T01:47:58.159000",
          "2024-12-09T01:48:09.967000",
          "2024-12-09T01:48:09.967000",
          "2024-12-09T01:48:09.967000",
          "2024-12-09T01:48:09.967000",
          "2024-12-09T01:48:18.971000",
          "2024-12-09T01:48:18.971000",
          "2024-12-09T01:48:18.971000",
          "2024-12-09T01:48:18.971000",
          "2024-12-09T01:48:28.177000",
          "2024-12-09T01:48:28.177000",
          "2024-12-09T01:48:28.177000",
          "2024-12-09T01:48:28.177000",
          "2024-12-09T01:48:29.978000",
          "2024-12-09T01:48:29.978000",
          "2024-12-09T01:48:29.978000",
          "2024-12-09T01:48:29.978000",
          "2024-12-09T01:48:31.579000",
          "2024-12-09T01:48:31.579000",
          "2024-12-09T01:48:31.579000",
          "2024-12-09T01:48:31.579000",
          "2024-12-09T01:48:32.780000",
          "2024-12-09T01:48:32.780000",
          "2024-12-09T01:48:32.780000",
          "2024-12-09T01:48:32.780000",
          "2024-12-09T01:48:34.782000",
          "2024-12-09T01:48:34.782000",
          "2024-12-09T01:48:34.782000",
          "2024-12-09T01:48:34.782000",
          "2024-12-09T01:48:40.385000",
          "2024-12-09T01:48:40.385000",
          "2024-12-09T01:48:40.385000",
          "2024-12-09T01:48:40.385000",
          "2024-12-09T01:48:41.385000",
          "2024-12-09T01:48:41.385000",
          "2024-12-09T01:48:41.385000",
          "2024-12-09T01:48:41.385000",
          "2024-12-09T01:48:41.987000",
          "2024-12-09T01:48:41.987000",
          "2024-12-09T01:48:41.987000",
          "2024-12-09T01:48:41.987000",
          "2024-12-09T01:48:42.586000",
          "2024-12-09T01:48:42.586000",
          "2024-12-09T01:48:42.586000",
          "2024-12-09T01:48:42.586000",
          "2024-12-09T01:48:43.787000",
          "2024-12-09T01:48:43.787000",
          "2024-12-09T01:48:43.787000",
          "2024-12-09T01:48:43.787000",
          "2024-12-09T01:48:44.587000",
          "2024-12-09T01:48:44.587000",
          "2024-12-09T01:48:44.587000",
          "2024-12-09T01:48:44.587000",
          "2024-12-09T01:48:45.589000",
          "2024-12-09T01:48:45.589000",
          "2024-12-09T01:48:45.589000",
          "2024-12-09T01:48:45.589000",
          "2024-12-09T01:48:46.590000",
          "2024-12-09T01:48:46.590000",
          "2024-12-09T01:48:46.590000",
          "2024-12-09T01:48:46.590000",
          "2024-12-09T01:48:48.391000",
          "2024-12-09T01:48:48.391000",
          "2024-12-09T01:48:48.391000",
          "2024-12-09T01:48:48.391000",
          "2024-12-09T01:48:49.591000",
          "2024-12-09T01:48:49.591000",
          "2024-12-09T01:48:49.591000",
          "2024-12-09T01:48:49.591000",
          "2024-12-09T01:48:52.993000",
          "2024-12-09T01:48:52.993000",
          "2024-12-09T01:48:52.993000",
          "2024-12-09T01:48:52.993000",
          "2024-12-09T01:48:55.195000",
          "2024-12-09T01:48:55.195000",
          "2024-12-09T01:48:55.195000",
          "2024-12-09T01:48:55.195000",
          "2024-12-09T01:48:58.396000",
          "2024-12-09T01:48:58.396000",
          "2024-12-09T01:48:58.396000",
          "2024-12-09T01:48:58.396000",
          "2024-12-09T01:49:00.398000",
          "2024-12-09T01:49:00.398000",
          "2024-12-09T01:49:00.398000",
          "2024-12-09T01:49:00.398000",
          "2024-12-09T01:49:09.803000",
          "2024-12-09T01:49:09.803000",
          "2024-12-09T01:49:09.803000",
          "2024-12-09T01:49:09.803000",
          "2024-12-09T01:49:12.206000",
          "2024-12-09T01:49:12.206000",
          "2024-12-09T01:49:12.206000",
          "2024-12-09T01:49:12.206000",
          "2024-12-09T01:49:13.605000",
          "2024-12-09T01:49:13.605000",
          "2024-12-09T01:49:13.605000",
          "2024-12-09T01:49:13.605000",
          "2024-12-09T01:49:15.207000",
          "2024-12-09T01:49:15.207000",
          "2024-12-09T01:49:15.207000",
          "2024-12-09T01:49:15.207000",
          "2024-12-09T01:49:16.808000",
          "2024-12-09T01:49:16.808000",
          "2024-12-09T01:49:16.808000",
          "2024-12-09T01:49:16.808000",
          "2024-12-09T01:49:18.209000",
          "2024-12-09T01:49:18.209000",
          "2024-12-09T01:49:18.209000",
          "2024-12-09T01:49:18.209000",
          "2024-12-09T01:49:19.610000",
          "2024-12-09T01:49:19.610000",
          "2024-12-09T01:49:19.610000",
          "2024-12-09T01:49:19.610000",
          "2024-12-09T01:49:21.213000",
          "2024-12-09T01:49:21.213000",
          "2024-12-09T01:49:21.213000",
          "2024-12-09T01:49:21.213000",
          "2024-12-09T01:49:22.212000",
          "2024-12-09T01:49:22.212000",
          "2024-12-09T01:49:22.212000",
          "2024-12-09T01:49:22.212000",
          "2024-12-09T01:49:23.212000",
          "2024-12-09T01:49:23.212000",
          "2024-12-09T01:49:23.212000",
          "2024-12-09T01:49:23.212000",
          "2024-12-09T01:49:24.616000",
          "2024-12-09T01:49:24.616000",
          "2024-12-09T01:49:24.616000",
          "2024-12-09T01:49:24.616000",
          "2024-12-09T01:49:26.815000",
          "2024-12-09T01:49:26.815000",
          "2024-12-09T01:49:26.815000",
          "2024-12-09T01:49:26.815000",
          "2024-12-09T01:49:27.215000",
          "2024-12-09T01:49:27.215000",
          "2024-12-09T01:49:27.215000",
          "2024-12-09T01:49:27.215000",
          "2024-12-09T01:49:29.016000",
          "2024-12-09T01:49:29.016000",
          "2024-12-09T01:49:29.016000",
          "2024-12-09T01:49:29.016000",
          "2024-12-09T01:49:30.816000",
          "2024-12-09T01:49:30.816000",
          "2024-12-09T01:49:30.816000",
          "2024-12-09T01:49:30.816000",
          "2024-12-09T01:49:32.618000",
          "2024-12-09T01:49:32.618000",
          "2024-12-09T01:49:32.618000",
          "2024-12-09T01:49:32.618000",
          "2024-12-09T01:49:36.220000",
          "2024-12-09T01:49:36.220000",
          "2024-12-09T01:49:36.220000",
          "2024-12-09T01:49:36.220000",
          "2024-12-09T01:49:42.025000",
          "2024-12-09T01:49:42.025000",
          "2024-12-09T01:49:42.025000",
          "2024-12-09T01:49:42.025000",
          "2024-12-09T01:49:47.626000",
          "2024-12-09T01:49:47.626000",
          "2024-12-09T01:49:47.626000",
          "2024-12-09T01:49:47.626000",
          "2024-12-09T01:50:01.036000",
          "2024-12-09T01:50:01.036000",
          "2024-12-09T01:50:01.036000",
          "2024-12-09T01:50:01.036000",
          "2024-12-09T01:50:18.447000",
          "2024-12-09T01:50:18.447000",
          "2024-12-09T01:50:18.447000",
          "2024-12-09T01:50:18.447000",
          "2024-12-09T01:50:25.252000",
          "2024-12-09T01:50:25.252000",
          "2024-12-09T01:50:25.252000",
          "2024-12-09T01:50:25.252000",
          "2024-12-09T01:50:29.455000",
          "2024-12-09T01:50:29.455000",
          "2024-12-09T01:50:29.455000",
          "2024-12-09T01:50:29.455000",
          "2024-12-09T01:50:32.659000",
          "2024-12-09T01:50:32.659000",
          "2024-12-09T01:50:32.659000",
          "2024-12-09T01:50:32.659000",
          "2024-12-09T01:50:36.059000",
          "2024-12-09T01:50:36.059000",
          "2024-12-09T01:50:36.059000",
          "2024-12-09T01:50:36.059000",
          "2024-12-09T01:50:40.662000",
          "2024-12-09T01:50:40.662000",
          "2024-12-09T01:50:40.662000",
          "2024-12-09T01:50:40.662000",
          "2024-12-09T01:50:45.065000",
          "2024-12-09T01:50:45.065000",
          "2024-12-09T01:50:45.065000",
          "2024-12-09T01:50:45.065000",
          "2024-12-09T01:50:49.667000",
          "2024-12-09T01:50:49.667000",
          "2024-12-09T01:50:49.667000",
          "2024-12-09T01:50:49.667000",
          "2024-12-09T01:50:54.071000",
          "2024-12-09T01:50:54.071000",
          "2024-12-09T01:50:54.071000",
          "2024-12-09T01:50:54.071000",
          "2024-12-09T01:50:59.274000",
          "2024-12-09T01:50:59.274000",
          "2024-12-09T01:50:59.274000",
          "2024-12-09T01:50:59.274000",
          "2024-12-09T01:51:05.678000",
          "2024-12-09T01:51:05.678000",
          "2024-12-09T01:51:05.678000",
          "2024-12-09T01:51:05.678000",
          "2024-12-09T01:51:20.890000",
          "2024-12-09T01:51:20.890000",
          "2024-12-09T01:51:20.890000",
          "2024-12-09T01:51:20.890000",
          "2024-12-09T01:51:38.699000",
          "2024-12-09T01:51:38.699000",
          "2024-12-09T01:51:38.699000",
          "2024-12-09T01:51:38.699000",
          "2024-12-09T01:51:40.301000",
          "2024-12-09T01:51:40.301000",
          "2024-12-09T01:51:40.301000",
          "2024-12-09T01:51:40.301000",
          "2024-12-09T01:51:43.102000",
          "2024-12-09T01:51:43.102000",
          "2024-12-09T01:51:43.102000",
          "2024-12-09T01:51:43.102000",
          "2024-12-09T01:51:47.106000",
          "2024-12-09T01:51:47.106000",
          "2024-12-09T01:51:47.106000",
          "2024-12-09T01:51:47.106000",
          "2024-12-09T01:51:52.108000",
          "2024-12-09T01:51:52.108000",
          "2024-12-09T01:51:52.108000",
          "2024-12-09T01:51:52.108000",
          "2024-12-09T01:51:58.711000",
          "2024-12-09T01:51:58.711000",
          "2024-12-09T01:51:58.711000",
          "2024-12-09T01:51:58.711000",
          "2024-12-09T01:52:07.717000",
          "2024-12-09T01:52:07.717000",
          "2024-12-09T01:52:07.717000",
          "2024-12-09T01:52:07.717000",
          "2024-12-09T01:52:13.921000",
          "2024-12-09T01:52:13.921000",
          "2024-12-09T01:52:13.921000",
          "2024-12-09T01:52:13.921000",
          "2024-12-09T01:52:21.926000",
          "2024-12-09T01:52:21.926000",
          "2024-12-09T01:52:21.926000",
          "2024-12-09T01:52:21.926000",
          "2024-12-09T01:52:34.736000",
          "2024-12-09T01:52:34.736000",
          "2024-12-09T01:52:34.736000",
          "2024-12-09T01:52:34.736000",
          "2024-12-09T01:52:51.345000",
          "2024-12-09T01:52:51.345000",
          "2024-12-09T01:52:51.345000",
          "2024-12-09T01:52:51.345000",
          "2024-12-09T01:53:02.552000",
          "2024-12-09T01:53:02.552000",
          "2024-12-09T01:53:02.552000",
          "2024-12-09T01:53:02.552000",
          "2024-12-09T01:53:12.358000",
          "2024-12-09T01:53:12.358000",
          "2024-12-09T01:53:12.358000",
          "2024-12-09T01:53:12.358000",
          "2024-12-09T01:53:20.564000",
          "2024-12-09T01:53:20.564000",
          "2024-12-09T01:53:20.564000",
          "2024-12-09T01:53:20.564000",
          "2024-12-09T01:53:32.771000",
          "2024-12-09T01:53:32.771000",
          "2024-12-09T01:53:32.771000",
          "2024-12-09T01:53:32.771000",
          "2024-12-09T01:53:45.980000",
          "2024-12-09T01:53:45.980000",
          "2024-12-09T01:53:45.980000",
          "2024-12-09T01:53:45.980000",
          "2024-12-09T01:54:02.790000",
          "2024-12-09T01:54:02.790000",
          "2024-12-09T01:54:02.790000",
          "2024-12-09T01:54:02.790000",
          "2024-12-09T01:54:18",
          "2024-12-09T01:54:18",
          "2024-12-09T01:54:18",
          "2024-12-09T01:54:18",
          "2024-12-09T01:54:35.612000",
          "2024-12-09T01:54:35.612000",
          "2024-12-09T01:54:35.612000",
          "2024-12-09T01:54:35.612000",
          "2024-12-09T01:54:45.017000",
          "2024-12-09T01:54:45.017000",
          "2024-12-09T01:54:45.017000",
          "2024-12-09T01:54:45.017000",
          "2024-12-09T01:54:54.223000",
          "2024-12-09T01:54:54.223000",
          "2024-12-09T01:54:54.223000",
          "2024-12-09T01:54:54.223000",
          "2024-12-09T01:55:07.032000",
          "2024-12-09T01:55:07.032000",
          "2024-12-09T01:55:07.032000",
          "2024-12-09T01:55:07.032000",
          "2024-12-09T01:55:22.442000",
          "2024-12-09T01:55:22.442000",
          "2024-12-09T01:55:22.442000",
          "2024-12-09T01:55:22.442000",
          "2024-12-09T01:55:33.849000",
          "2024-12-09T01:55:33.849000",
          "2024-12-09T01:55:33.849000",
          "2024-12-09T01:55:33.849000",
          "2024-12-09T01:56:04.870000",
          "2024-12-09T01:56:04.870000",
          "2024-12-09T01:56:04.870000",
          "2024-12-09T01:56:04.870000",
          "2024-12-09T01:56:44.695000",
          "2024-12-09T01:56:44.695000",
          "2024-12-09T01:56:44.695000",
          "2024-12-09T01:56:44.695000",
          "2024-12-09T01:57:24.120000",
          "2024-12-09T01:57:24.120000",
          "2024-12-09T01:57:24.120000",
          "2024-12-09T01:57:24.120000",
          "2024-12-09T01:58:04.546000",
          "2024-12-09T01:58:04.546000",
          "2024-12-09T01:58:04.546000",
          "2024-12-09T01:58:04.546000",
          "2024-12-09T01:58:38.168000",
          "2024-12-09T01:58:38.168000",
          "2024-12-09T01:58:38.168000",
          "2024-12-09T01:58:38.168000",
          "2024-12-09T01:59:25.199000",
          "2024-12-09T01:59:25.199000",
          "2024-12-09T01:59:25.199000",
          "2024-12-09T01:59:25.199000",
          "2024-12-09T02:00:08.626000",
          "2024-12-09T02:00:08.626000",
          "2024-12-09T02:00:08.626000",
          "2024-12-09T02:00:08.626000",
          "2024-12-09T02:00:58.859000",
          "2024-12-09T02:00:58.859000",
          "2024-12-09T02:00:58.859000",
          "2024-12-09T02:00:58.859000",
          "2024-12-09T02:01:43.287000",
          "2024-12-09T02:01:43.287000",
          "2024-12-09T02:01:43.287000",
          "2024-12-09T02:01:43.287000",
          "2024-12-09T02:02:38.521000",
          "2024-12-09T02:02:38.521000",
          "2024-12-09T02:02:38.521000",
          "2024-12-09T02:02:38.521000",
          "2024-12-09T02:03:24.950000",
          "2024-12-09T02:03:24.950000",
          "2024-12-09T02:03:24.950000",
          "2024-12-09T02:03:24.950000",
          "2024-12-09T02:03:26.151000",
          "2024-12-09T02:03:26.151000",
          "2024-12-09T02:03:26.151000",
          "2024-12-09T02:03:26.151000",
          "2024-12-09T02:03:27.351000",
          "2024-12-09T02:03:27.351000",
          "2024-12-09T02:03:27.351000",
          "2024-12-09T02:03:27.351000",
          "2024-12-09T02:03:28.352000",
          "2024-12-09T02:03:28.352000",
          "2024-12-09T02:03:28.352000",
          "2024-12-09T02:03:28.352000",
          "2024-12-09T02:03:29.154000",
          "2024-12-09T02:03:29.154000",
          "2024-12-09T02:03:29.154000",
          "2024-12-09T02:03:29.154000",
          "2024-12-09T02:03:29.955000",
          "2024-12-09T02:03:29.955000",
          "2024-12-09T02:03:29.955000",
          "2024-12-09T02:03:29.955000",
          "2024-12-09T02:03:31.355000",
          "2024-12-09T02:03:31.355000",
          "2024-12-09T02:03:31.355000",
          "2024-12-09T02:03:31.355000",
          "2024-12-09T02:03:32.354000",
          "2024-12-09T02:03:32.354000",
          "2024-12-09T02:03:32.354000",
          "2024-12-09T02:03:32.354000",
          "2024-12-09T02:03:33.355000",
          "2024-12-09T02:03:33.355000",
          "2024-12-09T02:03:33.355000",
          "2024-12-09T02:03:33.355000",
          "2024-12-09T02:03:34.356000",
          "2024-12-09T02:03:34.356000",
          "2024-12-09T02:03:34.356000",
          "2024-12-09T02:03:34.356000",
          "2024-12-09T02:03:35.759000",
          "2024-12-09T02:03:35.759000",
          "2024-12-09T02:03:35.759000",
          "2024-12-09T02:03:35.759000",
          "2024-12-09T02:03:36.757000",
          "2024-12-09T02:03:36.757000",
          "2024-12-09T02:03:36.757000",
          "2024-12-09T02:03:36.757000",
          "2024-12-09T02:03:37.759000",
          "2024-12-09T02:03:37.759000",
          "2024-12-09T02:03:37.759000",
          "2024-12-09T02:03:37.759000",
          "2024-12-09T02:03:38.359000",
          "2024-12-09T02:03:38.359000",
          "2024-12-09T02:03:38.359000",
          "2024-12-09T02:03:38.359000",
          "2024-12-09T02:03:39.359000",
          "2024-12-09T02:03:39.359000",
          "2024-12-09T02:03:39.359000",
          "2024-12-09T02:03:39.359000",
          "2024-12-09T02:03:40.559000",
          "2024-12-09T02:03:40.559000",
          "2024-12-09T02:03:40.559000",
          "2024-12-09T02:03:40.559000",
          "2024-12-09T02:03:41.360000",
          "2024-12-09T02:03:41.360000",
          "2024-12-09T02:03:41.360000",
          "2024-12-09T02:03:41.360000",
          "2024-12-09T02:03:42.162000",
          "2024-12-09T02:03:42.162000",
          "2024-12-09T02:03:42.162000",
          "2024-12-09T02:03:42.162000",
          "2024-12-09T02:03:42.961000",
          "2024-12-09T02:03:42.961000",
          "2024-12-09T02:03:42.961000",
          "2024-12-09T02:03:42.961000",
          "2024-12-09T02:03:43.763000",
          "2024-12-09T02:03:43.763000",
          "2024-12-09T02:03:43.763000",
          "2024-12-09T02:03:43.763000",
          "2024-12-09T02:03:44.766000",
          "2024-12-09T02:03:44.766000",
          "2024-12-09T02:03:44.766000",
          "2024-12-09T02:03:44.766000",
          "2024-12-09T02:03:46.164000",
          "2024-12-09T02:03:46.164000",
          "2024-12-09T02:03:46.164000",
          "2024-12-09T02:03:46.164000",
          "2024-12-09T02:03:47.165000",
          "2024-12-09T02:03:47.165000",
          "2024-12-09T02:03:47.165000",
          "2024-12-09T02:03:47.165000",
          "2024-12-09T02:03:48.165000",
          "2024-12-09T02:03:48.165000",
          "2024-12-09T02:03:48.165000",
          "2024-12-09T02:03:48.165000",
          "2024-12-09T02:03:48.966000",
          "2024-12-09T02:03:48.966000",
          "2024-12-09T02:03:48.966000",
          "2024-12-09T02:03:48.966000",
          "2024-12-09T02:03:49.766000",
          "2024-12-09T02:03:49.766000",
          "2024-12-09T02:03:49.766000",
          "2024-12-09T02:03:49.766000",
          "2024-12-09T02:03:50.767000",
          "2024-12-09T02:03:50.767000",
          "2024-12-09T02:03:50.767000",
          "2024-12-09T02:03:50.767000",
          "2024-12-09T02:03:51.566000",
          "2024-12-09T02:03:51.566000",
          "2024-12-09T02:03:51.566000",
          "2024-12-09T02:03:51.566000",
          "2024-12-09T02:03:52.167000",
          "2024-12-09T02:03:52.167000",
          "2024-12-09T02:03:52.167000",
          "2024-12-09T02:03:52.167000",
          "2024-12-09T02:03:52.767000",
          "2024-12-09T02:03:52.767000",
          "2024-12-09T02:03:52.767000",
          "2024-12-09T02:03:52.767000",
          "2024-12-09T02:03:53.368000",
          "2024-12-09T02:03:53.368000",
          "2024-12-09T02:03:53.368000",
          "2024-12-09T02:03:53.368000",
          "2024-12-09T02:03:53.968000",
          "2024-12-09T02:03:53.968000",
          "2024-12-09T02:03:53.968000",
          "2024-12-09T02:03:53.968000",
          "2024-12-09T02:03:54.369000",
          "2024-12-09T02:03:54.369000",
          "2024-12-09T02:03:54.369000",
          "2024-12-09T02:03:54.369000",
          "2024-12-09T02:03:55.170000",
          "2024-12-09T02:03:55.170000",
          "2024-12-09T02:03:55.170000",
          "2024-12-09T02:03:55.170000",
          "2024-12-09T02:03:55.969000",
          "2024-12-09T02:03:55.969000",
          "2024-12-09T02:03:55.969000",
          "2024-12-09T02:03:55.969000",
          "2024-12-09T02:03:56.570000",
          "2024-12-09T02:03:56.570000",
          "2024-12-09T02:03:56.570000",
          "2024-12-09T02:03:56.570000",
          "2024-12-09T02:03:57.171000",
          "2024-12-09T02:03:57.171000",
          "2024-12-09T02:03:57.171000",
          "2024-12-09T02:03:57.171000",
          "2024-12-09T02:03:57.771000",
          "2024-12-09T02:03:57.771000",
          "2024-12-09T02:03:57.771000",
          "2024-12-09T02:03:57.771000",
          "2024-12-09T02:03:58.371000",
          "2024-12-09T02:03:58.371000",
          "2024-12-09T02:03:58.371000",
          "2024-12-09T02:03:58.371000",
          "2024-12-09T02:03:58.972000",
          "2024-12-09T02:03:58.972000",
          "2024-12-09T02:03:58.972000",
          "2024-12-09T02:03:58.972000",
          "2024-12-09T02:03:59.773000",
          "2024-12-09T02:03:59.773000",
          "2024-12-09T02:03:59.773000",
          "2024-12-09T02:03:59.773000",
          "2024-12-09T02:04:00.573000",
          "2024-12-09T02:04:00.573000",
          "2024-12-09T02:04:00.573000",
          "2024-12-09T02:04:00.573000",
          "2024-12-09T02:04:01.773000",
          "2024-12-09T02:04:01.773000",
          "2024-12-09T02:04:01.773000",
          "2024-12-09T02:04:01.773000",
          "2024-12-09T02:04:02.774000",
          "2024-12-09T02:04:02.774000",
          "2024-12-09T02:04:02.774000",
          "2024-12-09T02:04:02.774000",
          "2024-12-09T02:04:03.575000",
          "2024-12-09T02:04:03.575000",
          "2024-12-09T02:04:03.575000",
          "2024-12-09T02:04:03.575000",
          "2024-12-09T02:04:04.574000",
          "2024-12-09T02:04:04.574000",
          "2024-12-09T02:04:04.574000",
          "2024-12-09T02:04:04.574000",
          "2024-12-09T02:04:06.976000",
          "2024-12-09T02:04:06.976000",
          "2024-12-09T02:04:06.976000",
          "2024-12-09T02:04:06.976000",
          "2024-12-09T02:04:12.181000",
          "2024-12-09T02:04:12.181000",
          "2024-12-09T02:04:12.181000",
          "2024-12-09T02:04:12.181000",
          "2024-12-09T02:04:13.382000",
          "2024-12-09T02:04:13.382000",
          "2024-12-09T02:04:13.382000",
          "2024-12-09T02:04:13.382000",
          "2024-12-09T02:04:13.981000",
          "2024-12-09T02:04:13.981000",
          "2024-12-09T02:04:13.981000",
          "2024-12-09T02:04:13.981000",
          "2024-12-09T02:04:14.780000",
          "2024-12-09T02:04:14.780000",
          "2024-12-09T02:04:14.780000",
          "2024-12-09T02:04:14.780000",
          "2024-12-09T02:04:15.583000",
          "2024-12-09T02:04:15.583000",
          "2024-12-09T02:04:15.583000",
          "2024-12-09T02:04:15.583000",
          "2024-12-09T02:04:16.383000",
          "2024-12-09T02:04:16.383000",
          "2024-12-09T02:04:16.383000",
          "2024-12-09T02:04:16.383000",
          "2024-12-09T02:04:17.184000",
          "2024-12-09T02:04:17.184000",
          "2024-12-09T02:04:17.184000",
          "2024-12-09T02:04:17.184000",
          "2024-12-09T02:04:17.986000",
          "2024-12-09T02:04:17.986000",
          "2024-12-09T02:04:17.986000",
          "2024-12-09T02:04:17.986000",
          "2024-12-09T02:04:18.384000",
          "2024-12-09T02:04:18.384000",
          "2024-12-09T02:04:18.384000",
          "2024-12-09T02:04:18.384000",
          "2024-12-09T02:04:18.984000",
          "2024-12-09T02:04:18.984000",
          "2024-12-09T02:04:18.984000",
          "2024-12-09T02:04:18.984000",
          "2024-12-09T02:04:19.584000",
          "2024-12-09T02:04:19.584000",
          "2024-12-09T02:04:19.584000",
          "2024-12-09T02:04:19.584000",
          "2024-12-09T02:04:20.186000",
          "2024-12-09T02:04:20.186000",
          "2024-12-09T02:04:20.186000",
          "2024-12-09T02:04:20.186000",
          "2024-12-09T02:04:20.991000",
          "2024-12-09T02:04:20.991000",
          "2024-12-09T02:04:20.991000",
          "2024-12-09T02:04:20.991000",
          "2024-12-09T02:04:21.589000",
          "2024-12-09T02:04:21.589000",
          "2024-12-09T02:04:21.589000",
          "2024-12-09T02:04:21.589000",
          "2024-12-09T02:04:22.386000",
          "2024-12-09T02:04:22.386000",
          "2024-12-09T02:04:22.386000",
          "2024-12-09T02:04:22.386000",
          "2024-12-09T02:04:22.987000",
          "2024-12-09T02:04:22.987000",
          "2024-12-09T02:04:22.987000",
          "2024-12-09T02:04:22.987000",
          "2024-12-09T02:04:23.587000",
          "2024-12-09T02:04:23.587000",
          "2024-12-09T02:04:23.587000",
          "2024-12-09T02:04:23.587000",
          "2024-12-09T02:04:24.188000",
          "2024-12-09T02:04:24.188000",
          "2024-12-09T02:04:24.188000",
          "2024-12-09T02:04:24.188000",
          "2024-12-09T02:04:24.788000",
          "2024-12-09T02:04:24.788000",
          "2024-12-09T02:04:24.788000",
          "2024-12-09T02:04:24.788000",
          "2024-12-09T02:04:25.590000",
          "2024-12-09T02:04:25.590000",
          "2024-12-09T02:04:25.590000",
          "2024-12-09T02:04:25.590000",
          "2024-12-09T02:04:26.390000",
          "2024-12-09T02:04:26.390000",
          "2024-12-09T02:04:26.390000",
          "2024-12-09T02:04:26.390000",
          "2024-12-09T02:04:26.990000",
          "2024-12-09T02:04:26.990000",
          "2024-12-09T02:04:26.990000",
          "2024-12-09T02:04:26.990000",
          "2024-12-09T02:04:27.791000",
          "2024-12-09T02:04:27.791000",
          "2024-12-09T02:04:27.791000",
          "2024-12-09T02:04:27.791000",
          "2024-12-09T02:04:28.590000",
          "2024-12-09T02:04:28.590000",
          "2024-12-09T02:04:28.590000",
          "2024-12-09T02:04:28.590000",
          "2024-12-09T02:04:29.391000",
          "2024-12-09T02:04:29.391000",
          "2024-12-09T02:04:29.391000",
          "2024-12-09T02:04:29.391000",
          "2024-12-09T02:04:30.392000",
          "2024-12-09T02:04:30.392000",
          "2024-12-09T02:04:30.392000",
          "2024-12-09T02:04:30.392000",
          "2024-12-09T02:04:31.192000",
          "2024-12-09T02:04:31.192000",
          "2024-12-09T02:04:31.192000",
          "2024-12-09T02:04:31.192000",
          "2024-12-09T02:04:31.992000",
          "2024-12-09T02:04:31.992000",
          "2024-12-09T02:04:31.992000",
          "2024-12-09T02:04:31.992000",
          "2024-12-09T02:04:32.792000",
          "2024-12-09T02:04:32.792000",
          "2024-12-09T02:04:32.792000",
          "2024-12-09T02:04:32.792000",
          "2024-12-09T02:04:33.593000",
          "2024-12-09T02:04:33.593000",
          "2024-12-09T02:04:33.593000",
          "2024-12-09T02:04:33.593000",
          "2024-12-09T02:04:34.194000",
          "2024-12-09T02:04:34.194000",
          "2024-12-09T02:04:34.194000",
          "2024-12-09T02:04:34.194000",
          "2024-12-09T02:04:35.173000",
          "2024-12-09T02:04:35.173000",
          "2024-12-09T02:04:35.173000",
          "2024-12-09T02:04:35.173000",
          "2024-12-09T02:04:35.660000",
          "2024-12-09T02:04:35.660000",
          "2024-12-09T02:04:35.660000",
          "2024-12-09T02:04:35.660000",
          "2024-12-09T02:04:36.260000",
          "2024-12-09T02:04:36.260000",
          "2024-12-09T02:04:36.260000",
          "2024-12-09T02:04:36.260000",
          "2024-12-09T02:04:36.860000",
          "2024-12-09T02:04:36.860000",
          "2024-12-09T02:04:36.860000",
          "2024-12-09T02:04:36.860000",
          "2024-12-09T02:04:37.661000",
          "2024-12-09T02:04:37.661000",
          "2024-12-09T02:04:37.661000",
          "2024-12-09T02:04:37.661000",
          "2024-12-09T02:04:38.261000",
          "2024-12-09T02:04:38.261000",
          "2024-12-09T02:04:38.261000",
          "2024-12-09T02:04:38.261000",
          "2024-12-09T02:04:39.062000",
          "2024-12-09T02:04:39.062000",
          "2024-12-09T02:04:39.062000",
          "2024-12-09T02:04:39.062000",
          "2024-12-09T02:04:39.661000",
          "2024-12-09T02:04:39.661000",
          "2024-12-09T02:04:39.661000",
          "2024-12-09T02:04:39.661000",
          "2024-12-09T02:04:40.479000",
          "2024-12-09T02:04:40.479000",
          "2024-12-09T02:04:40.479000",
          "2024-12-09T02:04:40.479000",
          "2024-12-09T02:04:41.079000",
          "2024-12-09T02:04:41.079000",
          "2024-12-09T02:04:41.079000",
          "2024-12-09T02:04:41.079000",
          "2024-12-09T02:04:41.680000",
          "2024-12-09T02:04:41.680000",
          "2024-12-09T02:04:41.680000",
          "2024-12-09T02:04:41.680000",
          "2024-12-09T02:04:42.480000",
          "2024-12-09T02:04:42.480000",
          "2024-12-09T02:04:42.480000",
          "2024-12-09T02:04:42.480000",
          "2024-12-09T02:04:43.281000",
          "2024-12-09T02:04:43.281000",
          "2024-12-09T02:04:43.281000",
          "2024-12-09T02:04:43.281000",
          "2024-12-09T02:04:44.082000",
          "2024-12-09T02:04:44.082000",
          "2024-12-09T02:04:44.082000",
          "2024-12-09T02:04:44.082000",
          "2024-12-09T02:04:44.881000",
          "2024-12-09T02:04:44.881000",
          "2024-12-09T02:04:44.881000",
          "2024-12-09T02:04:44.881000",
          "2024-12-09T02:04:45.482000",
          "2024-12-09T02:04:45.482000",
          "2024-12-09T02:04:45.482000",
          "2024-12-09T02:04:45.482000",
          "2024-12-09T02:04:46.282000",
          "2024-12-09T02:04:46.282000",
          "2024-12-09T02:04:46.282000",
          "2024-12-09T02:04:46.282000",
          "2024-12-09T02:04:47.083000",
          "2024-12-09T02:04:47.083000",
          "2024-12-09T02:04:47.083000",
          "2024-12-09T02:04:47.083000",
          "2024-12-09T02:04:48.086000",
          "2024-12-09T02:04:48.086000",
          "2024-12-09T02:04:48.086000",
          "2024-12-09T02:04:48.086000",
          "2024-12-09T02:04:49.085000",
          "2024-12-09T02:04:49.085000",
          "2024-12-09T02:04:49.085000",
          "2024-12-09T02:04:49.085000",
          "2024-12-09T02:04:50.085000",
          "2024-12-09T02:04:50.085000",
          "2024-12-09T02:04:50.085000",
          "2024-12-09T02:04:50.085000",
          "2024-12-09T02:04:50.685000",
          "2024-12-09T02:04:50.685000",
          "2024-12-09T02:04:50.685000",
          "2024-12-09T02:04:50.685000",
          "2024-12-09T02:04:51.686000",
          "2024-12-09T02:04:51.686000",
          "2024-12-09T02:04:51.686000",
          "2024-12-09T02:04:51.686000",
          "2024-12-09T02:04:53.087000",
          "2024-12-09T02:04:53.087000",
          "2024-12-09T02:04:53.087000",
          "2024-12-09T02:04:53.087000",
          "2024-12-09T02:04:54.287000",
          "2024-12-09T02:04:54.287000",
          "2024-12-09T02:04:54.287000",
          "2024-12-09T02:04:54.287000",
          "2024-12-09T02:04:55.288000",
          "2024-12-09T02:04:55.288000",
          "2024-12-09T02:04:55.288000",
          "2024-12-09T02:04:55.288000",
          "2024-12-09T02:04:56.689000",
          "2024-12-09T02:04:56.689000",
          "2024-12-09T02:04:56.689000",
          "2024-12-09T02:04:56.689000",
          "2024-12-09T02:04:58.690000",
          "2024-12-09T02:04:58.690000",
          "2024-12-09T02:04:58.690000",
          "2024-12-09T02:04:58.690000",
          "2024-12-09T02:05:00.091000",
          "2024-12-09T02:05:00.091000",
          "2024-12-09T02:05:00.091000",
          "2024-12-09T02:05:00.091000",
          "2024-12-09T02:05:01.892000",
          "2024-12-09T02:05:01.892000",
          "2024-12-09T02:05:01.892000",
          "2024-12-09T02:05:01.892000",
          "2024-12-09T02:05:03.893000",
          "2024-12-09T02:05:03.893000",
          "2024-12-09T02:05:03.893000",
          "2024-12-09T02:05:03.893000",
          "2024-12-09T02:05:05.895000",
          "2024-12-09T02:05:05.895000",
          "2024-12-09T02:05:05.895000",
          "2024-12-09T02:05:05.895000",
          "2024-12-09T02:05:11.098000",
          "2024-12-09T02:05:11.098000",
          "2024-12-09T02:05:11.098000",
          "2024-12-09T02:05:11.098000",
          "2024-12-09T02:05:16.500000",
          "2024-12-09T02:05:16.500000",
          "2024-12-09T02:05:16.500000",
          "2024-12-09T02:05:16.500000",
          "2024-12-09T02:05:43.320000",
          "2024-12-09T02:05:43.320000",
          "2024-12-09T02:05:43.320000",
          "2024-12-09T02:05:43.320000",
          "2024-12-09T02:05:50.916000",
          "2024-12-09T02:05:50.916000",
          "2024-12-09T02:05:50.916000",
          "2024-12-09T02:05:50.916000",
          "2024-12-09T02:05:55.526000",
          "2024-12-09T02:05:55.526000",
          "2024-12-09T02:05:55.526000",
          "2024-12-09T02:05:55.526000",
          "2024-12-09T02:05:57.928000",
          "2024-12-09T02:05:57.928000",
          "2024-12-09T02:05:57.928000",
          "2024-12-09T02:05:57.928000",
          "2024-12-09T02:06:04.332000",
          "2024-12-09T02:06:04.332000",
          "2024-12-09T02:06:04.332000",
          "2024-12-09T02:06:04.332000",
          "2024-12-09T02:06:10.136000",
          "2024-12-09T02:06:10.136000",
          "2024-12-09T02:06:10.136000",
          "2024-12-09T02:06:10.136000",
          "2024-12-09T02:06:27.947000",
          "2024-12-09T02:06:27.947000",
          "2024-12-09T02:06:27.947000",
          "2024-12-09T02:06:27.947000",
          "2024-12-09T02:06:33.150000",
          "2024-12-09T02:06:33.150000",
          "2024-12-09T02:06:33.150000",
          "2024-12-09T02:06:33.150000",
          "2024-12-09T02:06:37.753000",
          "2024-12-09T02:06:37.753000",
          "2024-12-09T02:06:37.753000",
          "2024-12-09T02:06:37.753000",
          "2024-12-09T02:06:41.755000",
          "2024-12-09T02:06:41.755000",
          "2024-12-09T02:06:41.755000",
          "2024-12-09T02:06:41.755000",
          "2024-12-09T02:06:45.357000",
          "2024-12-09T02:06:45.357000",
          "2024-12-09T02:06:45.357000",
          "2024-12-09T02:06:45.357000",
          "2024-12-09T02:06:49.561000",
          "2024-12-09T02:06:49.561000",
          "2024-12-09T02:06:49.561000",
          "2024-12-09T02:06:49.561000",
          "2024-12-09T02:06:53.963000",
          "2024-12-09T02:06:53.963000",
          "2024-12-09T02:06:53.963000",
          "2024-12-09T02:06:53.963000",
          "2024-12-09T02:06:59.368000",
          "2024-12-09T02:06:59.368000",
          "2024-12-09T02:06:59.368000",
          "2024-12-09T02:06:59.368000",
          "2024-12-09T02:07:03.569000",
          "2024-12-09T02:07:03.569000",
          "2024-12-09T02:07:03.569000",
          "2024-12-09T02:07:03.569000",
          "2024-12-09T02:07:08.372000",
          "2024-12-09T02:07:08.372000",
          "2024-12-09T02:07:08.372000",
          "2024-12-09T02:07:08.372000",
          "2024-12-09T02:07:14.777000",
          "2024-12-09T02:07:14.777000",
          "2024-12-09T02:07:14.777000",
          "2024-12-09T02:07:14.777000",
          "2024-12-09T02:07:21.781000",
          "2024-12-09T02:07:21.781000",
          "2024-12-09T02:07:21.781000",
          "2024-12-09T02:07:21.781000",
          "2024-12-09T02:07:38.991000",
          "2024-12-09T02:07:38.991000",
          "2024-12-09T02:07:38.991000",
          "2024-12-09T02:07:38.991000",
          "2024-12-09T02:08:46.636000",
          "2024-12-09T02:08:46.636000",
          "2024-12-09T02:08:46.636000",
          "2024-12-09T02:08:46.636000",
          "2024-12-09T02:09:31.265000",
          "2024-12-09T02:09:31.265000",
          "2024-12-09T02:09:31.265000",
          "2024-12-09T02:09:31.265000",
          "2024-12-09T02:09:54.479000",
          "2024-12-09T02:09:54.479000",
          "2024-12-09T02:09:54.479000",
          "2024-12-09T02:09:54.479000",
          "2024-12-09T02:10:26.701000",
          "2024-12-09T02:10:26.701000",
          "2024-12-09T02:10:26.701000",
          "2024-12-09T02:10:26.701000",
          "2024-12-09T02:10:56.319000",
          "2024-12-09T02:10:56.319000",
          "2024-12-09T02:10:56.319000",
          "2024-12-09T02:10:56.319000",
          "2024-12-09T02:11:33.542000",
          "2024-12-09T02:11:33.542000",
          "2024-12-09T02:11:33.542000",
          "2024-12-09T02:11:33.542000",
          "2024-12-09T02:11:57.757000",
          "2024-12-09T02:11:57.757000",
          "2024-12-09T02:11:57.757000",
          "2024-12-09T02:11:57.757000",
          "2024-12-09T02:12:29.180000",
          "2024-12-09T02:12:29.180000",
          "2024-12-09T02:12:29.180000",
          "2024-12-09T02:12:29.180000",
          "2024-12-09T02:13:04",
          "2024-12-09T02:13:04",
          "2024-12-09T02:13:04",
          "2024-12-09T02:13:04",
          "2024-12-09T02:13:41.223000",
          "2024-12-09T02:13:41.223000",
          "2024-12-09T02:13:41.223000",
          "2024-12-09T02:13:41.223000",
          "2024-12-09T02:14:17.647000",
          "2024-12-09T02:14:17.647000",
          "2024-12-09T02:14:17.647000",
          "2024-12-09T02:14:17.647000",
          "2024-12-09T02:14:52.872000",
          "2024-12-09T02:14:52.872000",
          "2024-12-09T02:14:52.872000",
          "2024-12-09T02:14:52.872000",
          "2024-12-09T02:15:33.098000",
          "2024-12-09T02:15:33.098000",
          "2024-12-09T02:15:33.098000",
          "2024-12-09T02:15:33.098000",
          "2024-12-09T02:16:10.522000",
          "2024-12-09T02:16:10.522000",
          "2024-12-09T02:16:10.522000",
          "2024-12-09T02:16:10.522000",
          "2024-12-09T02:16:54.550000",
          "2024-12-09T02:16:54.550000",
          "2024-12-09T02:16:54.550000",
          "2024-12-09T02:16:54.550000",
          "2024-12-09T02:17:38.577000",
          "2024-12-09T02:17:38.577000",
          "2024-12-09T02:17:38.577000",
          "2024-12-09T02:17:38.577000",
          "2024-12-09T02:18:15.600000",
          "2024-12-09T02:18:15.600000",
          "2024-12-09T02:18:15.600000",
          "2024-12-09T02:18:15.600000",
          "2024-12-09T02:19:01.028000",
          "2024-12-09T02:19:01.028000",
          "2024-12-09T02:19:01.028000",
          "2024-12-09T02:19:01.028000",
          "2024-12-09T02:19:39.454000",
          "2024-12-09T02:19:39.454000",
          "2024-12-09T02:19:39.454000",
          "2024-12-09T02:19:39.454000",
          "2024-12-09T02:20:28.885000",
          "2024-12-09T02:20:28.885000",
          "2024-12-09T02:20:28.885000",
          "2024-12-09T02:20:28.885000",
          "2024-12-09T02:21:16.916000",
          "2024-12-09T02:21:16.916000",
          "2024-12-09T02:21:16.916000",
          "2024-12-09T02:21:16.916000",
          "2024-12-09T02:22:03.544000",
          "2024-12-09T02:22:03.544000",
          "2024-12-09T02:22:03.544000",
          "2024-12-09T02:22:03.544000",
          "2024-12-09T02:22:53.576000",
          "2024-12-09T02:22:53.576000",
          "2024-12-09T02:22:53.576000",
          "2024-12-09T02:22:53.576000",
          "2024-12-09T02:23:42.406000",
          "2024-12-09T02:23:42.406000",
          "2024-12-09T02:23:42.406000",
          "2024-12-09T02:23:42.406000",
          "2024-12-09T02:24:34.841000",
          "2024-12-09T02:24:34.841000",
          "2024-12-09T02:24:34.841000",
          "2024-12-09T02:24:34.841000"
         ],
         "y": [
          124.3004,
          123.3806,
          122.4176,
          121.4204,
          120.4466,
          119.1002,
          118.11200000000001,
          116.9798,
          115.65859999999999,
          114.5264,
          113.1134,
          111.749,
          110.42960000000001,
          109.0598,
          107.897,
          106.7342,
          105.647,
          104.6084,
          103.42760000000001,
          102.42139999999999,
          101.36659999999999,
          100.4306,
          99.2912,
          98.3246,
          97.0466,
          95.69480000000001,
          94.54820000000001,
          93.0848,
          92.06960000000001,
          91.0094,
          89.8466,
          88.8296,
          87.90979999999999,
          88.862,
          89.8916,
          90.8564,
          91.80319999999999,
          92.7698,
          93.9254,
          94.8614,
          95.9558,
          96.95660000000001,
          98.114,
          99.0716,
          100.33160000000001,
          101.534,
          102.479,
          103.42760000000001,
          104.7434,
          105.8126,
          106.8728,
          108.07520000000001,
          108.9896,
          110.05519999999999,
          110.9894,
          111.902,
          113.18,
          114.09259999999999,
          115.34360000000001,
          116.28139999999999,
          117.3092,
          118.3136,
          119.3684,
          120.3278,
          121.31960000000001,
          122.4176,
          123.3428,
          124.26079999999999,
          125.1626,
          126.07520000000001,
          127.0202,
          127.967,
          128.9066,
          130.055,
          131.0036,
          132.1124,
          133.0358,
          134.0582,
          135.03019999999998,
          135.95,
          136.92739999999998,
          138.1532,
          139.3646,
          140.2862,
          141.2708,
          142.29500000000002,
          143.2328,
          144.22639999999998,
          145.1282,
          146.2568,
          145.2848,
          144.3668,
          143.39839999999998,
          142.4318,
          141.4904,
          140.51659999999998,
          139.53199999999998,
          138.5852,
          137.6294,
          136.69879999999998,
          135.69080000000002,
          134.7638,
          133.8404,
          132.8846,
          131.7722,
          130.856,
          131.9432,
          133.2086,
          134.3012,
          135.2984,
          136.3118,
          137.2712,
          138.44480000000001,
          139.37720000000002,
          140.6498,
          141.5642,
          142.6442,
          143.56220000000002,
          144.64939999999999,
          145.7294,
          146.6816,
          147.6086,
          148.5212,
          149.4608,
          150.3716,
          151.412,
          151.412,
          151.412,
          151.412,
          150.4706,
          150.4706,
          150.4706,
          150.4706,
          149.4878,
          149.4878,
          149.4878,
          149.4878,
          150.40040000000002,
          150.40040000000002,
          150.40040000000002,
          150.40040000000002,
          149.4608,
          149.4608,
          149.4608,
          149.4608,
          148.53379999999999,
          148.53379999999999,
          148.53379999999999,
          148.53379999999999,
          147.54019999999997,
          147.54019999999997,
          147.54019999999997,
          147.54019999999997,
          146.588,
          146.588,
          146.588,
          146.588,
          145.57279999999997,
          145.57279999999997,
          145.57279999999997,
          145.57279999999997,
          144.6368,
          144.6368,
          144.6368,
          144.6368,
          143.7152,
          143.7152,
          143.7152,
          143.7152,
          142.7306,
          142.7306,
          142.7306,
          142.7306,
          141.7856,
          141.7856,
          141.7856,
          141.7856,
          140.7218,
          140.7218,
          140.7218,
          140.7218,
          139.7948,
          139.7948,
          139.7948,
          139.7948,
          138.821,
          138.821,
          138.821,
          138.821,
          137.9192,
          137.9192,
          137.9192,
          137.9192,
          137.0084,
          137.0084,
          137.0084,
          137.0084,
          135.9842,
          135.9842,
          135.9842,
          135.9842,
          134.99779999999998,
          134.99779999999998,
          134.99779999999998,
          134.99779999999998,
          134.0924,
          134.0924,
          134.0924,
          134.0924,
          133.1438,
          133.1438,
          133.1438,
          133.1438,
          132.22039999999998,
          132.22039999999998,
          132.22039999999998,
          132.22039999999998,
          131.3078,
          131.3078,
          131.3078,
          131.3078,
          130.253,
          130.253,
          130.253,
          130.253,
          129.3458,
          129.3458,
          129.3458,
          129.3458,
          128.4296,
          128.4296,
          128.4296,
          128.4296,
          127.42699999999999,
          127.42699999999999,
          127.42699999999999,
          127.42699999999999,
          126.4388,
          126.4388,
          126.4388,
          126.4388,
          125.4722,
          125.4722,
          125.4722,
          125.4722,
          124.5578,
          124.5578,
          124.5578,
          124.5578,
          123.61640000000001,
          123.61640000000001,
          123.61640000000001,
          123.61640000000001,
          122.6588,
          122.6588,
          122.6588,
          122.6588,
          121.75160000000001,
          121.75160000000001,
          121.75160000000001,
          121.75160000000001,
          120.7904,
          120.7904,
          120.7904,
          120.7904,
          119.88680000000001,
          119.88680000000001,
          119.88680000000001,
          119.88680000000001,
          118.967,
          118.967,
          118.967,
          118.967,
          118.0328,
          118.0328,
          118.0328,
          118.0328,
          117.07520000000001,
          117.07520000000001,
          117.07520000000001,
          117.07520000000001,
          118.3928,
          118.3928,
          118.3928,
          118.3928,
          119.4224,
          119.4224,
          119.4224,
          119.4224,
          120.3278,
          120.3278,
          120.3278,
          120.3278,
          119.34140000000001,
          119.34140000000001,
          119.34140000000001,
          119.34140000000001,
          118.0508,
          118.0508,
          118.0508,
          118.0508,
          116.6162,
          116.6162,
          116.6162,
          116.6162,
          115.6154,
          115.6154,
          115.6154,
          115.6154,
          114.3338,
          114.3338,
          114.3338,
          114.3338,
          113.0234,
          113.0234,
          113.0234,
          113.0234,
          111.9182,
          111.9182,
          111.9182,
          111.9182,
          110.7014,
          110.7014,
          110.7014,
          110.7014,
          109.4684,
          109.4684,
          109.4684,
          109.4684,
          108.4568,
          108.4568,
          108.4568,
          108.4568,
          107.3102,
          107.3102,
          107.3102,
          107.3102,
          106.1924,
          106.1924,
          106.1924,
          106.1924,
          105.2096,
          105.2096,
          105.2096,
          105.2096,
          104.0864,
          104.0864,
          104.0864,
          104.0864,
          103.08019999999999,
          103.08019999999999,
          103.08019999999999,
          103.08019999999999,
          101.9534,
          101.9534,
          101.9534,
          101.9534,
          100.9994,
          100.9994,
          100.9994,
          100.9994,
          99.7304,
          99.7304,
          99.7304,
          99.7304,
          98.8034,
          98.8034,
          98.8034,
          98.8034,
          97.6244,
          97.6244,
          97.6244,
          97.6244,
          96.6524,
          96.6524,
          96.6524,
          96.6524,
          95.6264,
          95.6264,
          95.6264,
          95.6264,
          94.604,
          94.604,
          94.604,
          94.604,
          93.42679999999999,
          93.42679999999999,
          93.42679999999999,
          93.42679999999999,
          92.435,
          92.435,
          92.435,
          92.435,
          91.43780000000001,
          91.43780000000001,
          91.43780000000001,
          91.43780000000001,
          90.5342,
          90.5342,
          90.5342,
          90.5342,
          89.591,
          89.591,
          89.591,
          89.591,
          88.6802,
          88.6802,
          88.6802,
          88.6802,
          87.76759999999999,
          87.76759999999999,
          87.76759999999999,
          87.76759999999999,
          88.7126,
          88.7126,
          88.7126,
          88.7126,
          89.636,
          89.636,
          89.636,
          89.636,
          90.6656,
          90.6656,
          90.6656,
          90.6656,
          91.697,
          91.697,
          91.697,
          91.697,
          92.6888,
          92.6888,
          92.6888,
          92.6888,
          93.596,
          93.596,
          93.596,
          93.596,
          94.631,
          94.631,
          94.631,
          94.631,
          95.7974,
          95.7974,
          95.7974,
          95.7974,
          96.9152,
          96.9152,
          96.9152,
          96.9152,
          98.0726,
          98.0726,
          98.0726,
          98.0726,
          99.1274,
          99.1274,
          99.1274,
          99.1274,
          100.0454,
          100.0454,
          100.0454,
          100.0454,
          100.9994,
          100.9994,
          100.9994,
          100.9994,
          102.0056,
          102.0056,
          102.0056,
          102.0056,
          103.1324,
          103.1324,
          103.1324,
          103.1324,
          104.0504,
          104.0504,
          104.0504,
          104.0504,
          104.999,
          104.999,
          104.999,
          104.999,
          105.926,
          105.926,
          105.926,
          105.926,
          106.9718,
          106.9718,
          106.9718,
          106.9718,
          108.1292,
          108.1292,
          108.1292,
          108.1292,
          109.1066,
          109.1066,
          109.1066,
          109.1066,
          110.0948,
          110.0948,
          110.0948,
          110.0948,
          111.1028,
          111.1028,
          111.1028,
          111.1028,
          112.0334,
          112.0334,
          112.0334,
          112.0334,
          113.0648,
          113.0648,
          113.0648,
          113.0648,
          113.9666,
          113.9666,
          113.9666,
          113.9666,
          113.0558,
          113.0558,
          113.0558,
          113.0558,
          112.1216,
          112.1216,
          112.1216,
          112.1216,
          113.0648,
          113.0648,
          113.0648,
          113.0648,
          114.04939999999999,
          114.04939999999999,
          114.04939999999999,
          114.04939999999999,
          115.0394,
          115.0394,
          115.0394,
          115.0394,
          115.94839999999999,
          115.94839999999999,
          115.94839999999999,
          115.94839999999999,
          117.00500000000001,
          117.00500000000001,
          117.00500000000001,
          117.00500000000001,
          118.067,
          118.067,
          118.067,
          118.067,
          118.976,
          118.976,
          118.976,
          118.976,
          119.88680000000001,
          119.88680000000001,
          119.88680000000001,
          119.88680000000001,
          120.7904,
          120.7904,
          120.7904,
          120.7904,
          121.77860000000001,
          121.77860000000001,
          121.77860000000001,
          121.77860000000001,
          122.6966,
          122.6966,
          122.6966,
          122.6966,
          123.76759999999999,
          123.76759999999999,
          123.76759999999999,
          123.76759999999999,
          124.7396,
          124.7396,
          124.7396,
          124.7396,
          125.6558,
          125.6558,
          125.6558,
          125.6558,
          126.79339999999999,
          126.79339999999999,
          126.79339999999999,
          126.79339999999999,
          127.8068,
          127.8068,
          127.8068,
          127.8068,
          128.8058,
          128.8058,
          128.8058,
          128.8058,
          129.8894,
          129.8894,
          129.8894,
          129.8894,
          130.8452,
          130.8452,
          130.8452,
          130.8452,
          131.8568,
          131.8568,
          131.8568,
          131.8568,
          132.7658,
          132.7658,
          132.7658,
          132.7658,
          133.6982,
          133.6982,
          133.6982,
          133.6982,
          134.7206,
          134.7206,
          134.7206,
          134.7206,
          135.6242,
          135.6242,
          135.6242,
          135.6242,
          136.92739999999998,
          136.92739999999998,
          136.92739999999998,
          136.92739999999998,
          137.88500000000002,
          137.88500000000002,
          137.88500000000002,
          137.88500000000002,
          139.0802,
          139.0802,
          139.0802,
          139.0802,
          139.9856,
          139.9856,
          139.9856,
          139.9856,
          140.9522,
          140.9522,
          140.9522,
          140.9522,
          141.8612,
          141.8612,
          141.8612,
          141.8612,
          142.76839999999999,
          142.76839999999999,
          142.76839999999999,
          142.76839999999999,
          141.7856,
          141.7856,
          141.7856,
          141.7856,
          140.8802,
          140.8802,
          140.8802,
          140.8802,
          139.8902,
          139.8902,
          139.8902,
          139.8902,
          138.9614,
          138.9614,
          138.9614,
          138.9614,
          138.047,
          138.047,
          138.047,
          138.047,
          137.0768,
          137.0768,
          137.0768,
          137.0768,
          136.04,
          136.04,
          136.04,
          136.04,
          135.0752,
          135.0752,
          135.0752,
          135.0752,
          134.1572,
          134.1572,
          134.1572,
          134.1572,
          133.10060000000001,
          133.10060000000001,
          133.10060000000001,
          133.10060000000001,
          134.0258,
          134.0258,
          134.0258,
          134.0258,
          133.025,
          133.025,
          133.025,
          133.025,
          131.9648,
          131.9648,
          131.9648,
          131.9648,
          130.9298,
          130.9298,
          130.9298,
          130.9298,
          129.92180000000002,
          129.92180000000002,
          129.92180000000002,
          129.92180000000002,
          128.86520000000002,
          128.86520000000002,
          128.86520000000002,
          128.86520000000002,
          129.7976,
          129.7976,
          129.7976,
          129.7976,
          130.7102,
          130.7102,
          130.7102,
          130.7102,
          131.6246,
          131.6246,
          131.6246,
          131.6246,
          132.63799999999998,
          132.63799999999998,
          132.63799999999998,
          132.63799999999998,
          133.5452,
          133.5452,
          133.5452,
          133.5452,
          134.4776,
          134.4776,
          134.4776,
          134.4776,
          135.41000000000003,
          135.41000000000003,
          135.41000000000003,
          135.41000000000003,
          136.45940000000002,
          136.45940000000002,
          136.45940000000002,
          136.45940000000002,
          137.525,
          137.525,
          137.525,
          137.525,
          138.4322,
          138.4322,
          138.4322,
          138.4322,
          139.3538,
          139.3538,
          139.3538,
          139.3538,
          140.2862,
          140.2862,
          140.2862,
          140.2862,
          141.2096,
          141.2096,
          141.2096,
          141.2096,
          142.1204,
          142.1204,
          142.1204,
          142.1204,
          143.03119999999998,
          143.03119999999998,
          143.03119999999998,
          143.03119999999998,
          143.9438,
          143.9438,
          143.9438,
          143.9438,
          144.8564,
          144.8564,
          144.8564,
          144.8564,
          143.9438,
          143.9438,
          143.9438,
          143.9438,
          142.9196,
          142.9196,
          142.9196,
          142.9196,
          141.94760000000002,
          141.94760000000002,
          141.94760000000002,
          141.94760000000002,
          141.0386,
          141.0386,
          141.0386,
          141.0386,
          140.09359999999998,
          140.09359999999998,
          140.09359999999998,
          140.09359999999998,
          139.127,
          139.127,
          139.127,
          139.127,
          138.1766,
          138.1766,
          138.1766,
          138.1766,
          137.2604,
          137.2604,
          137.2604,
          137.2604,
          136.32260000000002,
          136.32260000000002,
          136.32260000000002,
          136.32260000000002,
          135.3884,
          135.3884,
          135.3884,
          135.3884,
          134.3012,
          134.3012,
          134.3012,
          134.3012,
          132.863,
          132.863,
          132.863,
          132.863,
          131.4968,
          131.4968,
          131.4968,
          131.4968,
          130.4078,
          130.4078,
          130.4078,
          130.4078,
          129.4988,
          129.4988,
          129.4988,
          129.4988,
          128.2784,
          128.2784,
          128.2784,
          128.2784,
          127.2092,
          127.2092,
          127.2092,
          127.2092,
          126.1832,
          126.1832,
          126.1832,
          126.1832,
          125.105,
          125.105,
          125.105,
          125.105,
          123.92960000000001,
          123.92960000000001,
          123.92960000000001,
          123.92960000000001,
          122.828,
          122.828,
          122.828,
          122.828,
          121.6778,
          121.6778,
          121.6778,
          121.6778,
          120.6086,
          120.6086,
          120.6086,
          120.6086,
          119.6636,
          119.6636,
          119.6636,
          119.6636,
          118.445,
          118.445,
          118.445,
          118.445,
          117.509,
          117.509,
          117.509,
          117.509,
          116.5226,
          116.5226,
          116.5226,
          116.5226,
          115.6082,
          115.6082,
          115.6082,
          115.6082,
          114.5192,
          114.5192,
          114.5192,
          114.5192,
          113.6012,
          113.6012,
          113.6012,
          113.6012,
          112.55539999999999,
          112.55539999999999,
          112.55539999999999,
          112.55539999999999,
          111.3044,
          111.3044,
          111.3044,
          111.3044,
          110.39,
          110.39,
          110.39,
          110.39,
          109.1624,
          109.1624,
          109.1624,
          109.1624,
          107.8502,
          107.8502,
          107.8502,
          107.8502,
          106.58840000000001,
          106.58840000000001,
          106.58840000000001,
          106.58840000000001,
          105.1034,
          105.1034,
          105.1034,
          105.1034,
          104.1908,
          104.1908,
          104.1908,
          104.1908,
          103.25840000000001,
          103.25840000000001,
          103.25840000000001,
          103.25840000000001,
          102.0776,
          102.0776,
          102.0776,
          102.0776,
          100.91299999999998,
          100.91299999999998,
          100.91299999999998,
          100.91299999999998,
          99.8168,
          99.8168,
          99.8168,
          99.8168,
          98.7818,
          98.7818,
          98.7818,
          98.7818,
          97.5344,
          97.5344,
          97.5344,
          97.5344,
          96.53540000000001,
          96.53540000000001,
          96.53540000000001,
          96.53540000000001,
          95.558,
          95.558,
          95.558,
          95.558,
          94.56980000000001,
          94.56980000000001,
          94.56980000000001,
          94.56980000000001,
          93.5888,
          93.5888,
          93.5888,
          93.5888,
          92.6096,
          92.6096,
          92.6096,
          92.6096,
          91.544,
          91.544,
          91.544,
          91.544,
          90.626,
          90.626,
          90.626,
          90.626,
          91.65740000000001,
          91.65740000000001,
          91.65740000000001,
          91.65740000000001,
          92.5898,
          92.5898,
          92.5898,
          92.5898,
          93.6014,
          93.6014,
          93.6014,
          93.6014,
          94.62379999999999,
          94.62379999999999,
          94.62379999999999,
          94.62379999999999,
          95.58500000000001,
          95.58500000000001,
          95.58500000000001,
          95.58500000000001,
          96.5282,
          96.5282,
          96.5282,
          96.5282,
          97.4642,
          97.4642,
          97.4642,
          97.4642,
          98.366,
          98.366,
          98.366,
          98.366,
          99.52520000000001,
          99.52520000000001,
          99.52520000000001,
          99.52520000000001,
          100.4306,
          100.4306,
          100.4306,
          100.4306,
          101.345,
          101.345,
          101.345,
          101.345,
          102.3692,
          102.3692,
          102.3692,
          102.3692,
          103.28,
          103.28,
          103.28,
          103.28,
          104.32579999999999,
          104.32579999999999,
          104.32579999999999,
          104.32579999999999,
          105.3752,
          105.3752,
          105.3752,
          105.3752,
          106.2986,
          106.2986,
          106.2986,
          106.2986,
          107.22560000000001,
          107.22560000000001,
          107.22560000000001,
          107.22560000000001,
          108.16159999999999,
          108.16159999999999,
          108.16159999999999,
          108.16159999999999,
          109.067,
          109.067,
          109.067,
          109.067,
          110.00840000000001,
          110.00840000000001,
          110.00840000000001,
          110.00840000000001,
          110.9426,
          110.9426,
          110.9426,
          110.9426,
          111.911,
          111.911,
          111.911,
          111.911,
          112.8668,
          112.8668,
          112.8668,
          112.8668,
          113.8262,
          113.8262,
          113.8262,
          113.8262,
          114.728,
          114.728,
          114.728,
          114.728,
          115.63340000000001,
          115.63340000000001,
          115.63340000000001,
          115.63340000000001,
          116.60900000000001,
          116.60900000000001,
          116.60900000000001,
          116.60900000000001,
          117.52520000000001,
          117.52520000000001,
          117.52520000000001,
          117.52520000000001,
          118.43780000000001,
          118.43780000000001,
          118.43780000000001,
          118.43780000000001,
          119.35940000000001,
          119.35940000000001,
          119.35940000000001,
          119.35940000000001,
          120.26480000000001,
          120.26480000000001,
          120.26480000000001,
          120.26480000000001,
          119.2514,
          119.2514,
          119.2514,
          119.2514,
          118.29560000000001,
          118.29560000000001,
          118.29560000000001,
          118.29560000000001,
          117.3686,
          117.3686,
          117.3686,
          117.3686,
          116.45419999999999,
          116.45419999999999,
          116.45419999999999,
          116.45419999999999,
          115.547,
          115.547,
          115.547,
          115.547,
          114.602,
          114.602,
          114.602,
          114.602,
          113.5922,
          113.5922,
          113.5922,
          113.5922,
          112.6868,
          112.6868,
          112.6868,
          112.6868,
          111.76520000000001,
          111.76520000000001,
          111.76520000000001,
          111.76520000000001,
          112.6778,
          112.6778,
          112.6778,
          112.6778,
          113.693,
          113.693,
          113.693,
          113.693,
          114.8792,
          114.8792,
          114.8792,
          114.8792,
          116.1014,
          116.1014,
          116.1014,
          116.1014,
          117.221,
          117.221,
          117.221,
          117.221,
          116.213,
          116.213,
          116.213,
          116.213,
          114.9548,
          114.9548,
          114.9548,
          114.9548,
          113.9918,
          113.9918,
          113.9918,
          113.9918,
          112.7606,
          112.7606,
          112.7606,
          112.7606,
          111.76520000000001,
          111.76520000000001,
          111.76520000000001,
          111.76520000000001,
          110.5088,
          110.5088,
          110.5088,
          110.5088,
          109.2722,
          109.2722,
          109.2722,
          109.2722,
          108.122,
          108.122,
          108.122,
          108.122,
          107.0186,
          107.0186,
          107.0186,
          107.0186,
          105.9422,
          105.9422,
          105.9422,
          105.9422,
          104.94680000000001,
          104.94680000000001,
          104.94680000000001,
          104.94680000000001,
          103.523,
          103.523,
          103.523,
          103.523,
          102.24499999999999,
          102.24499999999999,
          102.24499999999999,
          102.24499999999999,
          101.0138,
          101.0138,
          101.0138,
          101.0138,
          100.067,
          100.067,
          100.067,
          100.067,
          98.61980000000001,
          98.61980000000001,
          98.61980000000001,
          98.61980000000001,
          97.214,
          97.214,
          97.214,
          97.214,
          96.053,
          96.053,
          96.053,
          96.053,
          95.0396,
          95.0396,
          95.0396,
          95.0396,
          93.8516,
          93.8516,
          93.8516,
          93.8516,
          92.6294,
          92.6294,
          92.6294,
          92.6294,
          91.65740000000001,
          91.65740000000001,
          91.65740000000001,
          91.65740000000001,
          90.4946,
          90.4946,
          90.4946,
          90.4946,
          89.5712,
          89.5712,
          89.5712,
          89.5712,
          88.6532,
          88.6532,
          88.6532,
          88.6532,
          89.6306,
          89.6306,
          89.6306,
          89.6306,
          91.12819999999999,
          91.12819999999999,
          91.12819999999999,
          91.12819999999999,
          92.1884,
          92.1884,
          92.1884,
          92.1884,
          93.2252,
          93.2252,
          93.2252,
          93.2252,
          94.271,
          94.271,
          94.271,
          94.271,
          95.1818,
          95.1818,
          95.1818,
          95.1818,
          96.1286,
          96.1286,
          96.1286,
          96.1286,
          97.5344,
          97.5344,
          97.5344,
          97.5344,
          98.5784,
          98.5784,
          98.5784,
          98.5784,
          99.53240000000001,
          99.53240000000001,
          99.53240000000001,
          99.53240000000001,
          100.445,
          100.445,
          100.445,
          100.445,
          101.489,
          101.489,
          101.489,
          101.489,
          102.5168,
          102.5168,
          102.5168,
          102.5168,
          103.5158,
          103.5158,
          103.5158,
          103.5158,
          104.6156,
          104.6156,
          104.6156,
          104.6156,
          105.58579999999999,
          105.58579999999999,
          105.58579999999999,
          105.58579999999999,
          106.5128,
          106.5128,
          106.5128,
          106.5128,
          107.5946,
          107.5946,
          107.5946,
          107.5946,
          108.4964,
          108.4964,
          108.4964,
          108.4964,
          109.5404,
          109.5404,
          109.5404,
          109.5404,
          110.5178,
          110.5178,
          110.5178,
          110.5178,
          111.46459999999999,
          111.46459999999999,
          111.46459999999999,
          111.46459999999999,
          112.433,
          112.433,
          112.433,
          112.433,
          113.3366,
          113.3366,
          113.3366,
          113.3366,
          114.4346,
          114.4346,
          114.4346,
          114.4346,
          115.34360000000001,
          115.34360000000001,
          115.34360000000001,
          115.34360000000001,
          116.24719999999999,
          116.24719999999999,
          116.24719999999999,
          116.24719999999999,
          117.221,
          117.221,
          117.221,
          117.221,
          118.13719999999999,
          118.13719999999999,
          118.13719999999999,
          118.13719999999999,
          119.1002,
          119.1002,
          119.1002,
          119.1002,
          120.02180000000001,
          120.02180000000001,
          120.02180000000001,
          120.02180000000001,
          120.95419999999999,
          120.95419999999999,
          120.95419999999999,
          120.95419999999999,
          121.92620000000001,
          121.92620000000001,
          121.92620000000001,
          121.92620000000001,
          122.828,
          122.828,
          122.828,
          122.828,
          123.7388,
          123.7388,
          123.7388,
          123.7388,
          124.6532,
          124.6532,
          124.6532,
          124.6532,
          125.66659999999999,
          125.66659999999999,
          125.66659999999999,
          125.66659999999999,
          124.6046,
          124.6046,
          124.6046,
          124.6046,
          123.701,
          123.701,
          123.701,
          123.701,
          122.6876,
          122.6876,
          122.6876,
          122.6876,
          121.7426,
          121.7426,
          121.7426,
          121.7426,
          120.78139999999999,
          120.78139999999999,
          120.78139999999999,
          120.78139999999999,
          119.85979999999999,
          119.85979999999999,
          119.85979999999999,
          119.85979999999999,
          118.9148,
          118.9148,
          118.9148,
          118.9148,
          117.95360000000001,
          117.95360000000001,
          117.95360000000001,
          117.95360000000001,
          116.78,
          116.78,
          116.78,
          116.78,
          115.65859999999999,
          115.65859999999999,
          115.65859999999999,
          115.65859999999999,
          114.4256,
          114.4256,
          114.4256,
          114.4256,
          113.2034,
          113.2034,
          113.2034,
          113.2034,
          112.16299999999998,
          112.16299999999998,
          112.16299999999998,
          112.16299999999998,
          111.0542,
          111.0542,
          111.0542,
          111.0542,
          109.6826,
          109.6826,
          109.6826,
          109.6826,
          108.464,
          108.464,
          108.464,
          108.464,
          107.0942,
          107.0942,
          107.0942,
          107.0942,
          105.85040000000001,
          105.85040000000001,
          105.85040000000001,
          105.85040000000001,
          104.55619999999999,
          104.55619999999999,
          104.55619999999999,
          104.55619999999999,
          103.2944,
          103.2944,
          103.2944,
          103.2944,
          101.86699999999999,
          101.86699999999999,
          101.86699999999999,
          101.86699999999999,
          100.8626,
          100.8626,
          100.8626,
          100.8626,
          99.83840000000001,
          99.83840000000001,
          99.83840000000001,
          99.83840000000001,
          98.8178,
          98.8178,
          98.8178,
          98.8178,
          97.3382,
          97.3382,
          97.3382,
          97.3382,
          96.3752,
          96.3752,
          96.3752,
          96.3752,
          95.3456,
          95.3456,
          95.3456,
          95.3456,
          94.16299999999998,
          94.16299999999998,
          94.16299999999998,
          94.16299999999998,
          93.2054,
          93.2054,
          93.2054,
          93.2054,
          91.96880000000002,
          91.96880000000002,
          91.96880000000002,
          91.96880000000002,
          90.75919999999999,
          90.75919999999999,
          90.75919999999999,
          90.75919999999999,
          89.8322,
          89.8322,
          89.8322,
          89.8322,
          88.7972,
          88.7972,
          88.7972,
          88.7972,
          87.8648,
          87.8648,
          87.8648,
          87.8648,
          86.9126,
          86.9126,
          86.9126,
          86.9126,
          85.9856,
          85.9856,
          85.9856,
          85.9856,
          85.0658,
          85.0658,
          85.0658,
          85.0658,
          84.137,
          84.137,
          84.137,
          84.137,
          85.0532,
          85.0532,
          85.0532,
          85.0532,
          86.0054,
          86.0054,
          86.0054,
          86.0054,
          87.04220000000001,
          87.04220000000001,
          87.04220000000001,
          87.04220000000001,
          88.0322,
          88.0322,
          88.0322,
          88.0322,
          89.1212,
          89.1212,
          89.1212,
          89.1212,
          90.48920000000001,
          90.48920000000001,
          90.48920000000001,
          90.48920000000001,
          91.45759999999999,
          91.45759999999999,
          91.45759999999999,
          91.45759999999999,
          92.4692,
          92.4692,
          92.4692,
          92.4692,
          93.40700000000001,
          93.40700000000001,
          93.40700000000001,
          93.40700000000001,
          94.61659999999999,
          94.61659999999999,
          94.61659999999999,
          94.61659999999999,
          95.8262,
          95.8262,
          95.8262,
          95.8262,
          96.80539999999999,
          96.80539999999999,
          96.80539999999999,
          96.80539999999999,
          97.7576,
          97.7576,
          97.7576,
          97.7576,
          99.0212,
          99.0212,
          99.0212,
          99.0212,
          100.166,
          100.166,
          100.166,
          100.166,
          101.19380000000001,
          101.19380000000001,
          101.19380000000001,
          101.19380000000001,
          102.19460000000001,
          102.19460000000001,
          102.19460000000001,
          102.19460000000001,
          103.199,
          103.199,
          103.199,
          103.199,
          104.3186,
          104.3186,
          104.3186,
          104.3186,
          105.647,
          105.647,
          105.647,
          105.647,
          106.5578,
          106.5578,
          106.5578,
          106.5578,
          107.65759999999999,
          107.65759999999999,
          107.65759999999999,
          107.65759999999999,
          108.761,
          108.761,
          108.761,
          108.761,
          109.7294,
          109.7294,
          109.7294,
          109.7294,
          110.8544,
          110.8544,
          110.8544,
          110.8544,
          112.0082,
          112.0082,
          112.0082,
          112.0082,
          112.9316,
          112.9316,
          112.9316,
          112.9316,
          113.9252,
          113.9252,
          113.9252,
          113.9252,
          114.9044,
          114.9044,
          114.9044,
          114.9044,
          116.16980000000001,
          116.16980000000001,
          116.16980000000001,
          116.16980000000001,
          117.3002,
          117.3002,
          117.3002,
          117.3002,
          118.23440000000001,
          118.23440000000001,
          118.23440000000001,
          118.23440000000001,
          119.32339999999999,
          119.32339999999999,
          119.32339999999999,
          119.32339999999999,
          120.5096,
          120.5096,
          120.5096,
          120.5096,
          121.586,
          121.586,
          121.586,
          121.586,
          122.5004,
          122.5004,
          122.5004,
          122.5004,
          123.46520000000001,
          123.46520000000001,
          123.46520000000001,
          123.46520000000001,
          124.6244,
          124.6244,
          124.6244,
          124.6244,
          125.5694,
          125.5694,
          125.5694,
          125.5694,
          126.5072,
          126.5072,
          126.5072,
          126.5072,
          127.41799999999999,
          127.41799999999999,
          127.41799999999999,
          127.41799999999999,
          128.4512,
          128.4512,
          128.4512,
          128.4512,
          129.3872,
          129.3872,
          129.3872,
          129.3872,
          130.3034,
          130.3034,
          130.3034,
          130.3034,
          131.2754,
          131.2754,
          131.2754,
          131.2754,
          132.188,
          132.188,
          132.188,
          132.188,
          131.045,
          131.045,
          131.045,
          131.045,
          130.127,
          130.127,
          130.127,
          130.127,
          129.2126,
          129.2126,
          129.2126,
          129.2126,
          130.1378,
          130.1378,
          130.1378,
          130.1378,
          131.0666,
          131.0666,
          131.0666,
          131.0666,
          131.97379999999998,
          131.97379999999998,
          131.97379999999998,
          131.97379999999998,
          132.8846,
          132.8846,
          132.8846,
          132.8846,
          133.8188,
          133.8188,
          133.8188,
          133.8188,
          134.7764,
          134.7764,
          134.7764,
          134.7764,
          135.73579999999998,
          135.73579999999998,
          135.73579999999998,
          135.73579999999998,
          136.6538,
          136.6538,
          136.6538,
          136.6538,
          137.6402,
          137.6402,
          137.6402,
          137.6402,
          138.6212,
          138.6212,
          138.6212,
          138.6212,
          137.6528,
          137.6528,
          137.6528,
          137.6528,
          136.6754,
          136.6754,
          136.6754,
          136.6754,
          135.7142,
          135.7142,
          135.7142,
          135.7142,
          134.8088,
          134.8088,
          134.8088,
          134.8088,
          133.8944,
          133.8944,
          133.8944,
          133.8944,
          132.9278,
          132.9278,
          132.9278,
          132.9278,
          131.9846,
          131.9846,
          131.9846,
          131.9846,
          131.045,
          131.045,
          131.045,
          131.045,
          130.0856,
          130.0856,
          130.0856,
          130.0856,
          129.18200000000002,
          129.18200000000002,
          129.18200000000002,
          129.18200000000002,
          128.2784,
          128.2784,
          128.2784,
          128.2784,
          127.34779999999999,
          127.34779999999999,
          127.34779999999999,
          127.34779999999999,
          126.419,
          126.419,
          126.419,
          126.419,
          125.4722,
          125.4722,
          125.4722,
          125.4722,
          124.5668,
          124.5668,
          124.5668,
          124.5668,
          123.66319999999999,
          123.66319999999999,
          123.66319999999999,
          123.66319999999999,
          122.73440000000001,
          122.73440000000001,
          122.73440000000001,
          122.73440000000001,
          121.75160000000001,
          121.75160000000001,
          121.75160000000001,
          121.75160000000001,
          120.6554,
          120.6554,
          120.6554,
          120.6554,
          119.3954,
          119.3954,
          119.3954,
          119.3954,
          118.3928,
          118.3928,
          118.3928,
          118.3928,
          117.4568,
          117.4568,
          117.4568,
          117.4568,
          116.5226,
          116.5226,
          116.5226,
          116.5226,
          115.0574,
          115.0574,
          115.0574,
          115.0574,
          113.9828,
          113.9828,
          113.9828,
          113.9828,
          112.99820000000001,
          112.99820000000001,
          112.99820000000001,
          112.99820000000001,
          111.8786,
          111.8786,
          111.8786,
          111.8786,
          110.9588,
          110.9588,
          110.9588,
          110.9588,
          109.8014,
          109.8014,
          109.8014,
          109.8014,
          108.77,
          108.77,
          108.77,
          108.77,
          107.4722,
          107.4722,
          107.4722,
          107.4722,
          106.26079999999999,
          106.26079999999999,
          106.26079999999999,
          106.26079999999999,
          105.1862,
          105.1862,
          105.1862,
          105.1862,
          104.2664,
          104.2664,
          104.2664,
          104.2664,
          102.8678,
          102.8678,
          102.8678,
          102.8678,
          101.7644,
          101.7644,
          101.7644,
          101.7644,
          100.72579999999999,
          100.72579999999999,
          100.72579999999999,
          100.72579999999999,
          99.419,
          99.419,
          99.419,
          99.419,
          98.5082,
          98.5082,
          98.5082,
          98.5082,
          97.49839999999999,
          97.49839999999999,
          97.49839999999999,
          97.49839999999999,
          96.404,
          96.404,
          96.404,
          96.404,
          95.4896,
          95.4896,
          95.4896,
          95.4896,
          94.5284,
          94.5284,
          94.5284,
          94.5284,
          93.5618,
          93.5618,
          93.5618,
          93.5618,
          92.6096,
          92.6096,
          92.6096,
          92.6096,
          93.7778,
          93.7778,
          93.7778,
          93.7778,
          94.739,
          94.739,
          94.739,
          94.739,
          95.85319999999999,
          95.85319999999999,
          95.85319999999999,
          95.85319999999999,
          96.80539999999999,
          96.80539999999999,
          96.80539999999999,
          96.80539999999999,
          97.76480000000001,
          97.76480000000001,
          97.76480000000001,
          97.76480000000001,
          98.6756,
          98.6756,
          98.6756,
          98.6756,
          99.61699999999999,
          99.61699999999999,
          99.61699999999999,
          99.61699999999999,
          100.5386,
          100.5386,
          100.5386,
          100.5386,
          101.453,
          101.453,
          101.453,
          101.453,
          102.56,
          102.56,
          102.56,
          102.56,
          103.4942,
          103.4942,
          103.4942,
          103.4942,
          104.4068,
          104.4068,
          104.4068,
          104.4068,
          105.33019999999999,
          105.33019999999999,
          105.33019999999999,
          105.33019999999999,
          106.2536,
          106.2536,
          106.2536,
          106.2536,
          107.1716,
          107.1716,
          107.1716,
          107.1716,
          108.16159999999999,
          108.16159999999999,
          108.16159999999999,
          108.16159999999999,
          109.13000000000001,
          109.13000000000001,
          109.13000000000001,
          109.13000000000001,
          110.0948,
          110.0948,
          110.0948,
          110.0948,
          111.09380000000002,
          111.09380000000002,
          111.09380000000002,
          111.09380000000002,
          112.30160000000001,
          112.30160000000001,
          112.30160000000001,
          112.30160000000001,
          111.2954,
          111.2954,
          111.2954,
          111.2954,
          110.24600000000001,
          110.24600000000001,
          110.24600000000001,
          110.24600000000001,
          109.193,
          109.193,
          109.193,
          109.193,
          108.1922,
          108.1922,
          108.1922,
          108.1922,
          107.1482,
          107.1482,
          107.1482,
          107.1482,
          106.13119999999999,
          106.13119999999999,
          106.13119999999999,
          106.13119999999999,
          104.864,
          104.864,
          104.864,
          104.864,
          103.72279999999999,
          103.72279999999999,
          103.72279999999999,
          103.72279999999999,
          102.72919999999999,
          102.72919999999999,
          102.72919999999999,
          102.72919999999999,
          101.534,
          101.534,
          101.534,
          101.534,
          100.5602,
          100.5602,
          100.5602,
          100.5602,
          99.46759999999999,
          99.46759999999999,
          99.46759999999999,
          99.46759999999999,
          98.4866,
          98.4866,
          98.4866,
          98.4866,
          97.4498,
          97.4498,
          97.4498,
          97.4498,
          98.4362,
          98.4362,
          98.4362,
          98.4362,
          99.4118,
          99.4118,
          99.4118,
          99.4118,
          100.4594,
          100.4594,
          100.4594,
          100.4594,
          101.381,
          101.381,
          101.381,
          101.381,
          102.3404,
          102.3404,
          102.3404,
          102.3404,
          103.26559999999999,
          103.26559999999999,
          103.26559999999999,
          103.26559999999999,
          104.2574,
          104.2574,
          104.2574,
          104.2574,
          105.39680000000001,
          105.39680000000001,
          105.39680000000001,
          105.39680000000001,
          106.3148,
          106.3148,
          106.3148,
          106.3148,
          107.348,
          107.348,
          107.348,
          107.348,
          108.35600000000001,
          108.35600000000001,
          108.35600000000001,
          108.35600000000001,
          109.31899999999999,
          109.31899999999999,
          109.31899999999999,
          109.31899999999999,
          110.2298,
          110.2298,
          110.2298,
          110.2298,
          111.17479999999999,
          111.17479999999999,
          111.17479999999999,
          111.17479999999999,
          112.1378,
          112.1378,
          112.1378,
          112.1378,
          113.0396,
          113.0396,
          113.0396,
          113.0396,
          114.6866,
          114.6866,
          114.6866,
          114.6866,
          115.7612,
          115.7612,
          115.7612,
          115.7612,
          116.7026,
          116.7026,
          116.7026,
          116.7026,
          117.6656,
          117.6656,
          117.6656,
          117.6656,
          118.80859999999998,
          118.80859999999998,
          118.80859999999998,
          118.80859999999998,
          119.7878,
          119.7878,
          119.7878,
          119.7878,
          120.7364,
          120.7364,
          120.7364,
          120.7364,
          121.6688,
          121.6688,
          121.6688,
          121.6688,
          122.603,
          122.603,
          122.603,
          122.603,
          123.51200000000001,
          123.51200000000001,
          123.51200000000001,
          123.51200000000001,
          124.4246,
          124.4246,
          124.4246,
          124.4246,
          125.4236,
          125.4236,
          125.4236,
          125.4236,
          126.35060000000001,
          126.35060000000001,
          126.35060000000001,
          126.35060000000001,
          127.3082,
          127.3082,
          127.3082,
          127.3082,
          128.3702,
          128.3702,
          128.3702,
          128.3702,
          129.4484,
          129.4484,
          129.4484,
          129.4484,
          130.5122,
          130.5122,
          130.5122,
          130.5122,
          131.4968,
          131.4968,
          131.4968,
          131.4968,
          132.7442,
          132.7442,
          132.7442,
          132.7442,
          133.8188,
          133.8188,
          133.8188,
          133.8188,
          134.7422,
          134.7422,
          134.7422,
          134.7422,
          135.6692,
          135.6692,
          135.6692,
          135.6692,
          136.81220000000002,
          136.81220000000002,
          136.81220000000002,
          136.81220000000002,
          137.723,
          137.723,
          137.723,
          137.723,
          138.6446,
          138.6446,
          138.6446,
          138.6446,
          139.6382,
          139.6382,
          139.6382,
          139.6382,
          140.5652,
          140.5652,
          140.5652,
          140.5652,
          141.467,
          141.467,
          141.467,
          141.467,
          142.394,
          142.394,
          142.394,
          142.394,
          143.31019999999998,
          143.31019999999998,
          143.31019999999998,
          143.31019999999998,
          144.3542,
          144.3542,
          144.3542,
          144.3542,
          145.2848,
          145.2848,
          145.2848,
          145.2848,
          146.1902,
          146.1902,
          146.1902,
          146.1902,
          147.164,
          147.164,
          147.164,
          147.164,
          146.1776,
          146.1776,
          146.1776,
          146.1776,
          145.0904,
          145.0904,
          145.0904,
          145.0904,
          144.08419999999998,
          144.08419999999998,
          144.08419999999998,
          144.08419999999998,
          143.06900000000002,
          143.06900000000002,
          143.06900000000002,
          143.06900000000002,
          142.1456,
          142.1456,
          142.1456,
          142.1456,
          141.161,
          141.161,
          141.161,
          141.161,
          140.2268,
          140.2268,
          140.2268,
          140.2268,
          139.2692,
          139.2692,
          139.2692,
          139.2692,
          138.30440000000002,
          138.30440000000002,
          138.30440000000002,
          138.30440000000002,
          137.37560000000002,
          137.37560000000002,
          137.37560000000002,
          137.37560000000002,
          136.45940000000002,
          136.45940000000002,
          136.45940000000002,
          136.45940000000002,
          135.3884,
          135.3884,
          135.3884,
          135.3884,
          134.4776,
          134.4776,
          134.4776,
          134.4776,
          133.556,
          133.556,
          133.556,
          133.556,
          132.62720000000002,
          132.62720000000002,
          132.62720000000002,
          132.62720000000002,
          131.666,
          131.666,
          131.666,
          131.666,
          130.6688,
          130.6688,
          130.6688,
          130.6688,
          129.551,
          129.551,
          129.551,
          129.551,
          128.5412,
          128.5412,
          128.5412,
          128.5412,
          127.3874,
          127.3874,
          127.3874,
          127.3874,
          126.3308,
          126.3308,
          126.3308,
          126.3308,
          125.375,
          125.375,
          125.375,
          125.375,
          124.36699999999999,
          124.36699999999999,
          124.36699999999999,
          124.36699999999999,
          123.4562,
          123.4562,
          123.4562,
          123.4562,
          122.4554,
          122.4554,
          122.4554,
          122.4554,
          121.3934,
          121.3934,
          121.3934,
          121.3934,
          120.4196,
          120.4196,
          120.4196,
          120.4196,
          119.3684,
          119.3684,
          119.3684,
          119.3684,
          118.0328,
          118.0328,
          118.0328,
          118.0328,
          117.1184,
          117.1184,
          117.1184,
          117.1184,
          115.93039999999999,
          115.93039999999999,
          115.93039999999999,
          115.93039999999999,
          114.9134,
          114.9134,
          114.9134,
          114.9134,
          113.9162,
          113.9162,
          113.9162,
          113.9162,
          112.784,
          112.784,
          112.784,
          112.784,
          111.60319999999999,
          111.60319999999999,
          111.60319999999999,
          111.60319999999999,
          110.669,
          110.669,
          110.669,
          110.669,
          109.66640000000001,
          109.66640000000001,
          109.66640000000001,
          109.66640000000001,
          108.5504,
          108.5504,
          108.5504,
          108.5504,
          107.58019999999999,
          107.58019999999999,
          107.58019999999999,
          107.58019999999999,
          106.45160000000001,
          106.45160000000001,
          106.45160000000001,
          106.45160000000001,
          105.3374,
          105.3374,
          105.3374,
          105.3374,
          104.2286,
          104.2286,
          104.2286,
          104.2286,
          103.199,
          103.199,
          103.199,
          103.199,
          102.02720000000001,
          102.02720000000001,
          102.02720000000001,
          102.02720000000001,
          101.1146,
          101.1146,
          101.1146,
          101.1146,
          100.166,
          100.166,
          100.166,
          100.166,
          99.1922,
          99.1922,
          99.1922,
          99.1922,
          98.19140000000002,
          98.19140000000002,
          98.19140000000002,
          98.19140000000002,
          97.034,
          97.034,
          97.034,
          97.034,
          95.936,
          95.936,
          95.936,
          95.936,
          94.88119999999999,
          94.88119999999999,
          94.88119999999999,
          94.88119999999999,
          93.9056,
          93.9056,
          93.9056,
          93.9056,
          92.95700000000001,
          92.95700000000001,
          92.95700000000001,
          92.95700000000001,
          92.00840000000001,
          92.00840000000001,
          92.00840000000001,
          92.00840000000001,
          90.93019999999999,
          90.93019999999999,
          90.93019999999999,
          90.93019999999999,
          89.8916,
          89.8916,
          89.8916,
          89.8916,
          88.5956,
          88.5956,
          88.5956,
          88.5956,
          87.5048,
          87.5048,
          87.5048,
          87.5048,
          86.5796,
          86.5796,
          86.5796,
          86.5796,
          85.2548,
          85.2548,
          85.2548,
          85.2548,
          84.3134,
          84.3134,
          84.3134,
          84.3134,
          83.3936,
          83.3936,
          83.3936,
          83.3936,
          82.4432,
          82.4432,
          82.4432,
          82.4432,
          83.3756,
          83.3756,
          83.3756,
          83.3756,
          84.39439999999999,
          84.39439999999999,
          84.39439999999999,
          84.39439999999999,
          85.34479999999999,
          85.34479999999999,
          85.34479999999999,
          85.34479999999999,
          86.4518,
          86.4518,
          86.4518,
          86.4518,
          87.5552,
          87.5552,
          87.5552,
          87.5552,
          88.78999999999999,
          88.78999999999999,
          88.78999999999999,
          88.78999999999999,
          89.8844,
          89.8844,
          89.8844,
          89.8844,
          91.148,
          91.148,
          91.148,
          91.148,
          92.34140000000001,
          92.34140000000001,
          92.34140000000001,
          92.34140000000001,
          93.38719999999999,
          93.38719999999999,
          93.38719999999999,
          93.38719999999999,
          94.48700000000001,
          94.48700000000001,
          94.48700000000001,
          94.48700000000001,
          95.6534,
          95.6534,
          95.6534,
          95.6534,
          97.2698,
          97.2698,
          97.2698,
          97.2698,
          98.366,
          98.366,
          98.366,
          98.366,
          99.94460000000001,
          99.94460000000001,
          99.94460000000001,
          99.94460000000001,
          100.877,
          100.877,
          100.877,
          100.877,
          101.9318,
          101.9318,
          101.9318,
          101.9318,
          102.9992,
          102.9992,
          102.9992,
          102.9992,
          104.01259999999999,
          104.01259999999999,
          104.01259999999999,
          104.01259999999999,
          104.96119999999999,
          104.96119999999999,
          104.96119999999999,
          104.96119999999999,
          105.9872,
          105.9872,
          105.9872,
          105.9872,
          107.4794,
          107.4794,
          107.4794,
          107.4794,
          108.5342,
          108.5342,
          108.5342,
          108.5342,
          109.65020000000001,
          109.65020000000001,
          109.65020000000001,
          109.65020000000001,
          110.7806,
          110.7806,
          110.7806,
          110.7806,
          111.7238,
          111.7238,
          111.7238,
          111.7238,
          113.2124,
          113.2124,
          113.2124,
          113.2124,
          114.1916,
          114.1916,
          114.1916,
          114.1916,
          115.3616,
          115.3616,
          115.3616,
          115.3616,
          116.4614,
          116.4614,
          116.4614,
          116.4614,
          117.5,
          117.5,
          117.5,
          117.5,
          118.48100000000001,
          118.48100000000001,
          118.48100000000001,
          118.48100000000001,
          119.4746,
          119.4746,
          119.4746,
          119.4746,
          120.4196,
          120.4196,
          120.4196,
          120.4196,
          121.5302,
          121.5302,
          121.5302,
          121.5302,
          122.603,
          122.603,
          122.603,
          122.603,
          123.51200000000001,
          123.51200000000001,
          123.51200000000001,
          123.51200000000001,
          124.682,
          124.682,
          124.682,
          124.682,
          125.6072,
          125.6072,
          125.6072,
          125.6072,
          126.78259999999999,
          126.78259999999999,
          126.78259999999999,
          126.78259999999999,
          127.787,
          127.787,
          127.787,
          127.787,
          128.70319999999998,
          128.70319999999998,
          128.70319999999998,
          128.70319999999998,
          129.9002,
          129.9002,
          129.9002,
          129.9002,
          130.9082,
          130.9082,
          130.9082,
          130.9082,
          131.8568,
          131.8568,
          131.8568,
          131.8568,
          133.0358,
          133.0358,
          133.0358,
          133.0358,
          134.22379999999998,
          134.22379999999998,
          134.22379999999998,
          134.22379999999998,
          135.221,
          135.221,
          135.221,
          135.221,
          136.26680000000002,
          136.26680000000002,
          136.26680000000002,
          136.26680000000002,
          137.23700000000002,
          137.23700000000002,
          137.23700000000002,
          137.23700000000002,
          138.2342,
          138.2342,
          138.2342,
          138.2342,
          139.2584,
          139.2584,
          139.2584,
          139.2584,
          140.19080000000002,
          140.19080000000002,
          140.19080000000002,
          140.19080000000002,
          141.1358,
          141.1358,
          141.1358,
          141.1358,
          142.232,
          142.232,
          142.232,
          142.232,
          143.2076,
          143.2076,
          143.2076,
          143.2076,
          144.1364,
          144.1364,
          144.1364,
          144.1364,
          145.1426,
          145.1426,
          145.1426,
          145.1426,
          146.11100000000002,
          146.11100000000002,
          146.11100000000002,
          146.11100000000002,
          147.19099999999997,
          147.19099999999997,
          147.19099999999997,
          147.19099999999997,
          148.1918,
          148.1918,
          148.1918,
          148.1918,
          149.3492,
          149.3492,
          149.3492,
          149.3492,
          150.287,
          150.287,
          150.287,
          150.287,
          151.33999999999997,
          151.33999999999997,
          151.33999999999997,
          151.33999999999997,
          152.4992,
          152.4992,
          152.4992,
          152.4992,
          151.45520000000002,
          151.45520000000002,
          151.45520000000002,
          151.45520000000002,
          150.5426,
          150.5426,
          150.5426,
          150.5426,
          149.5724,
          149.5724,
          149.5724,
          149.5724,
          148.67059999999998,
          148.67059999999998,
          148.67059999999998,
          148.67059999999998,
          147.6896,
          147.6896,
          147.6896,
          147.6896,
          146.77519999999998,
          146.77519999999998,
          146.77519999999998,
          146.77519999999998,
          147.7022,
          147.7022,
          147.7022,
          147.7022,
          148.64360000000002,
          148.64360000000002,
          148.64360000000002,
          148.64360000000002,
          149.64079999999998,
          149.64079999999998,
          149.64079999999998,
          149.64079999999998,
          150.5426,
          150.5426,
          150.5426,
          150.5426,
          151.46959999999999,
          151.46959999999999,
          151.46959999999999,
          151.46959999999999,
          152.4848,
          152.4848,
          152.4848,
          152.4848,
          153.518,
          153.518,
          153.518,
          153.518,
          154.5368,
          154.5368,
          154.5368,
          154.5368,
          155.4656,
          155.4656,
          155.4656,
          155.4656,
          156.3944,
          156.3944,
          156.3944,
          156.3944,
          157.3214,
          157.3214,
          157.3214,
          157.3214,
          158.3096,
          158.3096,
          158.3096,
          158.3096,
          159.2996,
          159.2996,
          159.2996,
          159.2996,
          158.342,
          158.342,
          158.342,
          158.342,
          157.4312,
          157.4312,
          157.4312,
          157.4312,
          156.47179999999997,
          156.47179999999997,
          156.47179999999997,
          156.47179999999997,
          155.4044,
          155.4044,
          155.4044,
          155.4044,
          154.4306,
          154.4306,
          154.4306,
          154.4306,
          153.518,
          153.518,
          153.518,
          153.518,
          152.58739999999997,
          152.58739999999997,
          152.58739999999997,
          152.58739999999997,
          151.6568,
          151.6568,
          151.6568,
          151.6568,
          150.656,
          150.656,
          150.656,
          150.656,
          149.62820000000002,
          149.62820000000002,
          149.62820000000002,
          149.62820000000002,
          148.658,
          148.658,
          148.658,
          148.658,
          147.7022,
          147.7022,
          147.7022,
          147.7022,
          146.7356,
          146.7356,
          146.7356,
          146.7356,
          145.7168,
          145.7168,
          145.7168,
          145.7168,
          144.662,
          144.662,
          144.662,
          144.662,
          143.753,
          143.753,
          143.753,
          143.753,
          142.8062,
          142.8062,
          142.8062,
          142.8062,
          141.8486,
          141.8486,
          141.8486,
          141.8486,
          140.9414,
          140.9414,
          140.9414,
          140.9414,
          139.9856,
          139.9856,
          139.9856,
          139.9856,
          138.92720000000003,
          138.92720000000003,
          138.92720000000003,
          138.92720000000003,
          137.9768,
          137.9768,
          137.9768,
          137.9768,
          137.0192,
          137.0192,
          137.0192,
          137.0192,
          136.085,
          136.085,
          136.085,
          136.085,
          135.1094,
          135.1094,
          135.1094,
          135.1094
         ]
        },
        {
         "line": {
          "color": "pink",
          "dash": "solid"
         },
         "mode": "lines",
         "name": "Distribution pump power /10",
         "opacity": 0.7,
         "type": "scatter",
         "x": [
          "2024-12-08T23:55:44.411000",
          "2024-12-08T23:56:08.419000",
          "2024-12-09T00:00:58.085000",
          "2024-12-09T00:00:58.085000",
          "2024-12-09T00:00:58.085000",
          "2024-12-09T00:00:58.085000",
          "2024-12-09T00:03:13.608000",
          "2024-12-09T00:03:13.608000",
          "2024-12-09T00:03:13.608000",
          "2024-12-09T00:03:13.608000",
          "2024-12-09T00:08:15.191000",
          "2024-12-09T00:08:15.191000",
          "2024-12-09T00:08:15.191000",
          "2024-12-09T00:08:15.191000",
          "2024-12-09T00:13:17.463000",
          "2024-12-09T00:13:17.463000",
          "2024-12-09T00:13:17.463000",
          "2024-12-09T00:13:17.463000",
          "2024-12-09T00:18:18.091000",
          "2024-12-09T00:18:18.091000",
          "2024-12-09T00:18:18.091000",
          "2024-12-09T00:18:18.091000",
          "2024-12-09T00:23:18.359000",
          "2024-12-09T00:23:18.359000",
          "2024-12-09T00:23:18.359000",
          "2024-12-09T00:23:18.359000",
          "2024-12-09T00:28:21.099000",
          "2024-12-09T00:28:21.099000",
          "2024-12-09T00:28:21.099000",
          "2024-12-09T00:28:21.099000",
          "2024-12-09T00:33:21.943000",
          "2024-12-09T00:33:21.943000",
          "2024-12-09T00:33:21.943000",
          "2024-12-09T00:33:21.943000",
          "2024-12-09T00:38:24.291000",
          "2024-12-09T00:38:24.291000",
          "2024-12-09T00:38:24.291000",
          "2024-12-09T00:38:24.291000",
          "2024-12-09T00:40:03.201000",
          "2024-12-09T00:40:03.201000",
          "2024-12-09T00:40:03.201000",
          "2024-12-09T00:40:03.201000",
          "2024-12-09T00:40:07.247000",
          "2024-12-09T00:40:07.247000",
          "2024-12-09T00:40:07.247000",
          "2024-12-09T00:40:07.247000",
          "2024-12-09T00:41:03.696000",
          "2024-12-09T00:41:03.696000",
          "2024-12-09T00:41:03.696000",
          "2024-12-09T00:41:03.696000",
          "2024-12-09T00:45:14.559000",
          "2024-12-09T00:45:14.559000",
          "2024-12-09T00:45:14.559000",
          "2024-12-09T00:45:14.559000",
          "2024-12-09T00:45:57.527000",
          "2024-12-09T00:45:57.527000",
          "2024-12-09T00:45:57.527000",
          "2024-12-09T00:45:57.527000",
          "2024-12-09T00:46:59.802000",
          "2024-12-09T00:46:59.802000",
          "2024-12-09T00:46:59.802000",
          "2024-12-09T00:46:59.802000",
          "2024-12-09T00:47:02.567000",
          "2024-12-09T00:47:02.567000",
          "2024-12-09T00:47:02.567000",
          "2024-12-09T00:47:02.567000",
          "2024-12-09T00:47:05.115000",
          "2024-12-09T00:47:05.115000",
          "2024-12-09T00:47:05.115000",
          "2024-12-09T00:47:05.115000",
          "2024-12-09T00:49:13.755000",
          "2024-12-09T00:49:13.755000",
          "2024-12-09T00:49:13.755000",
          "2024-12-09T00:49:13.755000",
          "2024-12-09T00:54:15.283000",
          "2024-12-09T00:54:15.283000",
          "2024-12-09T00:54:15.283000",
          "2024-12-09T00:54:15.283000",
          "2024-12-09T00:57:32.591000",
          "2024-12-09T00:57:32.591000",
          "2024-12-09T00:57:32.591000",
          "2024-12-09T00:57:32.591000",
          "2024-12-09T00:57:35.735000",
          "2024-12-09T00:57:35.735000",
          "2024-12-09T00:57:35.735000",
          "2024-12-09T00:57:35.735000",
          "2024-12-09T01:02:36.268000",
          "2024-12-09T01:02:36.268000",
          "2024-12-09T01:02:36.268000",
          "2024-12-09T01:02:36.268000",
          "2024-12-09T01:03:14.783000",
          "2024-12-09T01:03:14.783000",
          "2024-12-09T01:03:14.783000",
          "2024-12-09T01:03:14.783000",
          "2024-12-09T01:08:14.427000",
          "2024-12-09T01:08:14.427000",
          "2024-12-09T01:08:14.427000",
          "2024-12-09T01:08:14.427000",
          "2024-12-09T01:13:16.307000",
          "2024-12-09T01:13:16.307000",
          "2024-12-09T01:13:16.307000",
          "2024-12-09T01:13:16.307000",
          "2024-12-09T01:18:18.665000",
          "2024-12-09T01:18:18.665000",
          "2024-12-09T01:18:18.665000",
          "2024-12-09T01:18:18.665000",
          "2024-12-09T01:19:04.771000",
          "2024-12-09T01:19:04.771000",
          "2024-12-09T01:19:04.771000",
          "2024-12-09T01:19:04.771000",
          "2024-12-09T01:19:08.711000",
          "2024-12-09T01:19:08.711000",
          "2024-12-09T01:19:08.711000",
          "2024-12-09T01:19:08.711000",
          "2024-12-09T01:24:09.123000",
          "2024-12-09T01:24:09.123000",
          "2024-12-09T01:24:09.123000",
          "2024-12-09T01:24:09.123000",
          "2024-12-09T01:24:15.139000",
          "2024-12-09T01:24:15.139000",
          "2024-12-09T01:24:15.139000",
          "2024-12-09T01:24:15.139000",
          "2024-12-09T01:24:56.919000",
          "2024-12-09T01:24:56.919000",
          "2024-12-09T01:24:56.919000",
          "2024-12-09T01:24:56.919000",
          "2024-12-09T01:29:33.008000",
          "2024-12-09T01:29:33.008000",
          "2024-12-09T01:29:33.008000",
          "2024-12-09T01:29:33.008000",
          "2024-12-09T01:34:34.367000",
          "2024-12-09T01:34:34.367000",
          "2024-12-09T01:34:34.367000",
          "2024-12-09T01:34:34.367000",
          "2024-12-09T01:39:36.173000",
          "2024-12-09T01:39:36.173000",
          "2024-12-09T01:39:36.173000",
          "2024-12-09T01:39:36.173000",
          "2024-12-09T01:44:37.179000",
          "2024-12-09T01:44:37.179000",
          "2024-12-09T01:44:37.179000",
          "2024-12-09T01:44:37.179000",
          "2024-12-09T01:46:11.619000",
          "2024-12-09T01:46:11.619000",
          "2024-12-09T01:46:11.619000",
          "2024-12-09T01:46:11.619000",
          "2024-12-09T01:46:15.129000",
          "2024-12-09T01:46:15.129000",
          "2024-12-09T01:46:15.129000",
          "2024-12-09T01:46:15.129000",
          "2024-12-09T01:48:29.995000",
          "2024-12-09T01:48:29.995000",
          "2024-12-09T01:48:29.995000",
          "2024-12-09T01:48:29.995000",
          "2024-12-09T01:48:32.746000",
          "2024-12-09T01:48:32.746000",
          "2024-12-09T01:48:32.746000",
          "2024-12-09T01:48:32.746000",
          "2024-12-09T01:49:54.379000",
          "2024-12-09T01:49:54.379000",
          "2024-12-09T01:49:54.379000",
          "2024-12-09T01:49:54.379000",
          "2024-12-09T01:51:39.739000",
          "2024-12-09T01:51:39.739000",
          "2024-12-09T01:51:39.739000",
          "2024-12-09T01:51:39.739000",
          "2024-12-09T01:54:15.231000",
          "2024-12-09T01:54:15.231000",
          "2024-12-09T01:54:15.231000",
          "2024-12-09T01:54:15.231000",
          "2024-12-09T01:59:16.495000",
          "2024-12-09T01:59:16.495000",
          "2024-12-09T01:59:16.495000",
          "2024-12-09T01:59:16.495000",
          "2024-12-09T02:03:22.851000",
          "2024-12-09T02:03:22.851000",
          "2024-12-09T02:03:22.851000",
          "2024-12-09T02:03:22.851000",
          "2024-12-09T02:03:35.711000",
          "2024-12-09T02:03:35.711000",
          "2024-12-09T02:03:35.711000",
          "2024-12-09T02:03:35.711000",
          "2024-12-09T02:06:43.511000",
          "2024-12-09T02:06:43.511000",
          "2024-12-09T02:06:43.511000",
          "2024-12-09T02:06:43.511000",
          "2024-12-09T02:08:33.773000",
          "2024-12-09T02:08:33.773000",
          "2024-12-09T02:08:33.773000",
          "2024-12-09T02:08:33.773000",
          "2024-12-09T02:13:35.816000",
          "2024-12-09T02:13:35.816000",
          "2024-12-09T02:13:35.816000",
          "2024-12-09T02:13:35.816000",
          "2024-12-09T02:18:36.091000",
          "2024-12-09T02:18:36.091000",
          "2024-12-09T02:18:36.091000",
          "2024-12-09T02:18:36.091000",
          "2024-12-09T02:23:37.219000",
          "2024-12-09T02:23:37.219000",
          "2024-12-09T02:23:37.219000",
          "2024-12-09T02:23:37.219000"
         ],
         "y": [
          1.6,
          1.8,
          1.2,
          1.2,
          1.2,
          1.2,
          -0.1,
          -0.1,
          -0.1,
          -0.1,
          -0.1,
          -0.1,
          -0.1,
          -0.1,
          0,
          0,
          0,
          0,
          -0.1,
          -0.1,
          -0.1,
          -0.1,
          0,
          0,
          0,
          0,
          0,
          0,
          0,
          0,
          0,
          0,
          0,
          0,
          -0.1,
          -0.1,
          -0.1,
          -0.1,
          0.2,
          0.2,
          0.2,
          0.2,
          1.7,
          1.7,
          1.7,
          1.7,
          1.9,
          1.9,
          1.9,
          1.9,
          1.7,
          1.7,
          1.7,
          1.7,
          1.2,
          1.2,
          1.2,
          1.2,
          0.1,
          0.1,
          0.1,
          0.1,
          0.8,
          0.8,
          0.8,
          0.8,
          1.2,
          1.2,
          1.2,
          1.2,
          0,
          0,
          0,
          0,
          0,
          0,
          0,
          0,
          0.2,
          0.2,
          0.2,
          0.2,
          1.3,
          1.3,
          1.3,
          1.3,
          1.3,
          1.3,
          1.3,
          1.3,
          -0.1,
          -0.1,
          -0.1,
          -0.1,
          0,
          0,
          0,
          0,
          0,
          0,
          0,
          0,
          0,
          0,
          0,
          0,
          1.6,
          1.6,
          1.6,
          1.6,
          1.8,
          1.8,
          1.8,
          1.8,
          1.7,
          1.7,
          1.7,
          1.7,
          1.9,
          1.9,
          1.9,
          1.9,
          1.2,
          1.2,
          1.2,
          1.2,
          0,
          0,
          0,
          0,
          0,
          0,
          0,
          0,
          -0.1,
          -0.1,
          -0.1,
          -0.1,
          0,
          0,
          0,
          0,
          0.5,
          0.5,
          0.5,
          0.5,
          1.3,
          1.3,
          1.3,
          1.3,
          1.6,
          1.6,
          1.6,
          1.6,
          1.8,
          1.8,
          1.8,
          1.8,
          2,
          2,
          2,
          2,
          1.8,
          1.8,
          1.8,
          1.8,
          0,
          0,
          0,
          0,
          0,
          0,
          0,
          0,
          1.3,
          1.3,
          1.3,
          1.3,
          1.1,
          1.1,
          1.1,
          1.1,
          1.3,
          1.3,
          1.3,
          1.3,
          0,
          0,
          0,
          0,
          -0.1,
          -0.1,
          -0.1,
          -0.1,
          -0.1,
          -0.1,
          -0.1,
          -0.1,
          0,
          0,
          0,
          0
         ],
         "yaxis": "y2"
        }
       ],
       "layout": {
        "legend": {
         "x": 0,
         "xanchor": "left",
         "y": 1,
         "yanchor": "top"
        },
        "paper_bgcolor": "rgba(0,0,0,0)",
        "plot_bgcolor": "rgba(0,0,0,0)",
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "fillpattern": {
             "fillmode": "overlay",
             "size": 10,
             "solidity": 0.2
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "autotypenumbers": "strict",
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "Distribution"
        },
        "xaxis": {
         "linecolor": "rgb(42,63,96)",
         "mirror": true,
         "showgrid": false,
         "showline": true,
         "ticks": "outside"
        },
        "yaxis": {
         "gridcolor": "LightGray",
         "gridwidth": 1,
         "linecolor": "rgb(42,63,96)",
         "mirror": true,
         "range": [
          0,
          260
         ],
         "showgrid": true,
         "showline": true,
         "ticks": "outside",
         "title": {
          "text": "Temperature [F]"
         },
         "zeroline": false
        },
        "yaxis2": {
         "linecolor": "rgb(42,63,96)",
         "mirror": true,
         "overlaying": "y",
         "range": [
          0,
          10
         ],
         "showgrid": false,
         "showline": true,
         "side": "right",
         "ticks": "outside",
         "title": {
          "text": "Flow [GPM] or Power [W]"
         },
         "zeroline": false
        }
       }
      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# --------------------------------------\n",
    "# PLOT 1\n",
    "# --------------------------------------\n",
    "\n",
    "fig = go.Figure()\n",
    "fig.update_xaxes(showgrid=False)\n",
    "\n",
    "# Temperature\n",
    "temp_plot = False\n",
    "if 'hp-lwt' in selected_plot_keys:\n",
    "    temp_plot = True\n",
    "    yf = [to_fahrenheit(x/1000) for x in channels['hp-lwt']['values']]\n",
    "    fig.add_trace(go.Scatter(x=channels['hp-lwt']['times'], y=yf, \n",
    "                            mode='lines', opacity=0.7,\n",
    "                            line=dict(color='red', dash='solid'),\n",
    "                            name='HP LWT'))\n",
    "if 'hp-ewt' in selected_plot_keys:\n",
    "    temp_plot = True\n",
    "    yf = [to_fahrenheit(x/1000) for x in channels['hp-ewt']['values']]\n",
    "\n",
    "    fig.add_trace(go.Scatter(x=channels['hp-ewt']['times'], y=yf, \n",
    "                            mode='lines', opacity=0.7,\n",
    "                            line=dict(color='blue', dash='solid'),\n",
    "                            name='HP EWT'))\n",
    "\n",
    "if temp_plot:\n",
    "    if 'hp-odu-pwr' in selected_plot_keys or 'hp-idu-pwr' in selected_plot_keys or 'primary-pump-pwr' in selected_plot_keys:\n",
    "        fig.update_yaxes(range=[0, 260])\n",
    "    fig.update_layout(yaxis=dict(title='Temperature [F]', zeroline=False))\n",
    "    fig.update_yaxes(showgrid=True, gridwidth=1, gridcolor='LightGray')\n",
    "    y_axis_power = 'y2'\n",
    "else:\n",
    "    y_axis_power = 'y'\n",
    "    fig.update_layout(yaxis=dict(title='Power [kW]', zeroline=False))\n",
    "    fig.update_yaxes(showgrid=True, gridwidth=1, gridcolor='LightGray')\n",
    "\n",
    "# Power\n",
    "power_plot = False\n",
    "if 'hp-odu-pwr' in selected_plot_keys:\n",
    "    power_plot = True\n",
    "    yf = [x/1000 for x in channels['hp-odu-pwr']['values']]\n",
    "    fig.add_trace(go.Scatter(x=channels['hp-odu-pwr']['times'], y=yf, \n",
    "                            mode='lines', opacity=0.7,\n",
    "                            line=dict(color='green', dash='solid'),\n",
    "                            name='HP outdoor',\n",
    "                            yaxis=y_axis_power))\n",
    "\n",
    "if 'hp-idu-pwr' in selected_plot_keys:\n",
    "    power_plot = True\n",
    "    yf = [x/1000 for x in channels['hp-idu-pwr']['values']]\n",
    "    fig.add_trace(go.Scatter(x=channels['hp-idu-pwr']['times'], y=yf, \n",
    "                            mode='lines', opacity=0.7,\n",
    "                            line=dict(color='orange', dash='solid'),\n",
    "                            name='HP indoor',\n",
    "                            yaxis=y_axis_power))\n",
    "    \n",
    "if 'primary-pump-pwr' in selected_plot_keys:\n",
    "    power_plot = True\n",
    "    yf = [x/10 for x in channels['primary-pump-pwr']['values']]\n",
    "    fig.add_trace(go.Scatter(x=channels['primary-pump-pwr']['times'], y=yf, \n",
    "                            mode='lines', opacity=0.7,\n",
    "                            line=dict(color='purple', dash='solid'),\n",
    "                            name='Primary pump x100',\n",
    "                            yaxis=y_axis_power))\n",
    "\n",
    "if power_plot:\n",
    "    fig.update_layout(yaxis2=dict(title='Power [kW]', overlaying='y', side='right', showgrid=False, zeroline=False, range=[0, 30]))\n",
    "\n",
    "fig.update_layout(\n",
    "    title='Heat Pump',\n",
    "    plot_bgcolor='rgba(0,0,0,0)',\n",
    "    paper_bgcolor='rgba(0,0,0,0)',\n",
    "    xaxis=dict(\n",
    "        mirror=True,\n",
    "        ticks='outside',\n",
    "        showline=True,\n",
    "        linecolor='rgb(42,63,96)',\n",
    "        ),\n",
    "    yaxis=dict(\n",
    "        mirror=True,\n",
    "        ticks='outside',\n",
    "        showline=True,\n",
    "        linecolor='rgb(42,63,96)',\n",
    "        ),\n",
    "    yaxis2=dict(\n",
    "        mirror=True,\n",
    "        ticks='outside',\n",
    "        showline=True,\n",
    "        linecolor='rgb(42,63,96)',\n",
    "        ),\n",
    "    legend=dict(\n",
    "        x=0,\n",
    "        y=1,\n",
    "        xanchor='left',\n",
    "        yanchor='top'\n",
    "    )\n",
    ")\n",
    "\n",
    "fig.write_html(\"heatpump.html\")\n",
    "\n",
    "# --------------------------------------\n",
    "# PLOT 2\n",
    "# --------------------------------------\n",
    "\n",
    "fig = go.Figure()\n",
    "fig.update_xaxes(showgrid=False)\n",
    "\n",
    "fig.update_layout(title='Distribution',\n",
    "                plot_bgcolor='rgba(0,0,0,0)',\n",
    "                paper_bgcolor='rgba(0,0,0,0)')\n",
    "\n",
    "# Temperature\n",
    "temp_plot = False\n",
    "if 'dist-swt' in selected_plot_keys:\n",
    "    temp_plot = True\n",
    "    yf = [to_fahrenheit(x/1000) for x in channels['dist-swt']['values']]\n",
    "    fig.add_trace(go.Scatter(x=channels['dist-swt']['times'], y=yf, \n",
    "                            mode='lines', opacity=0.7,\n",
    "                            line=dict(color='red', dash='solid'),\n",
    "                            name='Distribution SWT'))\n",
    "if 'dist-rwt' in selected_plot_keys:\n",
    "    temp_plot = True\n",
    "    yf = [to_fahrenheit(x/1000) for x in channels['dist-rwt']['values']]\n",
    "    fig.add_trace(go.Scatter(x=channels['dist-rwt']['times'], y=yf, \n",
    "                            mode='lines', opacity=0.7,\n",
    "                            line=dict(color='blue', dash='solid'),\n",
    "                            name='Distribution RWT'))\n",
    "    \n",
    "if temp_plot:\n",
    "    if 'zone_heat_calls' in selected_plot_keys:\n",
    "        fig.update_yaxes(range=[0, 260])\n",
    "    fig.update_layout(yaxis=dict(title='Temperature [F]', zeroline=False))\n",
    "    fig.update_yaxes(showgrid=True, gridwidth=1, gridcolor='LightGray')\n",
    "    y_axis_power = 'y2'\n",
    "else:\n",
    "    y_axis_power = 'y'\n",
    "    fig.update_layout(yaxis=dict(title='Power [kW]', zeroline=False))\n",
    "    fig.update_yaxes(showgrid=True, gridwidth=1, gridcolor='LightGray')\n",
    "\n",
    "# Distribution pump power\n",
    "power_plot = False   \n",
    "if 'dist-pump-pwr'in selected_plot_keys:\n",
    "    power_plot = True\n",
    "    yf = [x/10 for x in channels['dist-pump-pwr']['values']]\n",
    "    fig.add_trace(go.Scatter(x=channels['dist-pump-pwr']['times'], y=yf, \n",
    "                            mode='lines', opacity=0.7,\n",
    "                            line=dict(color='pink', dash='solid'),\n",
    "                            name='Distribution pump power /10',\n",
    "                            yaxis = y_axis_power))\n",
    "if 'dist-flow' in selected_plot_keys and 'dist-flow' in channels:\n",
    "    power_plot = True\n",
    "    yf = [x/100 for x in channels['dist-flow']['values']]\n",
    "    fig.add_trace(go.Scatter(x=channels['dist-flow']['times'], y=yf, \n",
    "                            mode='lines', opacity=0.4,\n",
    "                            line=dict(color='purple', dash='solid'),\n",
    "                            name='Distribution flow',\n",
    "                            yaxis = y_axis_power))\n",
    "    \n",
    "if power_plot:\n",
    "    fig.update_layout(yaxis2=dict(title='Flow [GPM] or Power [W]', overlaying='y', side='right', showgrid=False, zeroline=False, range=[0, 10]))\n",
    "\n",
    "fig.update_layout(\n",
    "    legend=dict(\n",
    "        x=0,\n",
    "        y=1,\n",
    "        xanchor='left',\n",
    "        yanchor='top'\n",
    "    )\n",
    ")\n",
    "\n",
    "fig.update_layout(\n",
    "    xaxis=dict(\n",
    "        mirror=True,\n",
    "        ticks='outside',\n",
    "        showline=True,\n",
    "        linecolor='rgb(42,63,96)',\n",
    "        ),\n",
    "    yaxis=dict(\n",
    "        mirror=True,\n",
    "        ticks='outside',\n",
    "        showline=True,\n",
    "        linecolor='rgb(42,63,96)',\n",
    "        ),\n",
    "    yaxis2=dict(\n",
    "        mirror=True,\n",
    "        ticks='outside',\n",
    "        showline=True,\n",
    "        linecolor='rgb(42,63,96)',\n",
    "        ),\n",
    "    legend=dict(\n",
    "        x=0,\n",
    "        y=1,\n",
    "        xanchor='left',\n",
    "        yanchor='top'\n",
    "    )\n",
    ")\n",
    "\n",
    "fig.write_html(\"distribution.html\")\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'x_min' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[16], line 65\u001b[0m\n\u001b[1;32m     60\u001b[0m fig\u001b[38;5;241m.\u001b[39mupdate_layout(yaxis\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mdict\u001b[39m(zeroline\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m))\n\u001b[1;32m     61\u001b[0m fig\u001b[38;5;241m.\u001b[39mupdate_yaxes(showgrid\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m, gridwidth\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1\u001b[39m, gridcolor\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mLightGray\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m     63\u001b[0m fig\u001b[38;5;241m.\u001b[39mupdate_layout(\n\u001b[1;32m     64\u001b[0m     xaxis\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mdict\u001b[39m(\n\u001b[0;32m---> 65\u001b[0m         \u001b[38;5;28mrange\u001b[39m\u001b[38;5;241m=\u001b[39m[\u001b[43mx_min\u001b[49m, x_max],\n\u001b[1;32m     66\u001b[0m         mirror\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m,\n\u001b[1;32m     67\u001b[0m         ticks\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124moutside\u001b[39m\u001b[38;5;124m'\u001b[39m,\n\u001b[1;32m     68\u001b[0m         showline\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m,\n\u001b[1;32m     69\u001b[0m         linecolor\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mrgb(42,63,96)\u001b[39m\u001b[38;5;124m'\u001b[39m,\n\u001b[1;32m     70\u001b[0m         ),\n\u001b[1;32m     71\u001b[0m     yaxis\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mdict\u001b[39m(\n\u001b[1;32m     72\u001b[0m         mirror\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m,\n\u001b[1;32m     73\u001b[0m         ticks\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124moutside\u001b[39m\u001b[38;5;124m'\u001b[39m,\n\u001b[1;32m     74\u001b[0m         showline\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m,\n\u001b[1;32m     75\u001b[0m         linecolor\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mrgb(42,63,96)\u001b[39m\u001b[38;5;124m'\u001b[39m,\n\u001b[1;32m     76\u001b[0m         ),\n\u001b[1;32m     77\u001b[0m     yaxis2\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mdict\u001b[39m(\n\u001b[1;32m     78\u001b[0m         mirror\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m,\n\u001b[1;32m     79\u001b[0m         ticks\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124moutside\u001b[39m\u001b[38;5;124m'\u001b[39m,\n\u001b[1;32m     80\u001b[0m         showline\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m,\n\u001b[1;32m     81\u001b[0m         linecolor\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mrgb(42,63,96)\u001b[39m\u001b[38;5;124m'\u001b[39m,\n\u001b[1;32m     82\u001b[0m         ),\n\u001b[1;32m     83\u001b[0m     legend\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mdict\u001b[39m(\n\u001b[1;32m     84\u001b[0m         x\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0\u001b[39m,\n\u001b[1;32m     85\u001b[0m         y\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1\u001b[39m,\n\u001b[1;32m     86\u001b[0m         xanchor\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mleft\u001b[39m\u001b[38;5;124m'\u001b[39m,\n\u001b[1;32m     87\u001b[0m         yanchor\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtop\u001b[39m\u001b[38;5;124m'\u001b[39m,\n\u001b[1;32m     88\u001b[0m     )\n\u001b[1;32m     89\u001b[0m )\n\u001b[1;32m     91\u001b[0m fig\u001b[38;5;241m.\u001b[39mshow()\n\u001b[1;32m     92\u001b[0m fig\u001b[38;5;241m.\u001b[39mwrite_html(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mheatcalls.html\u001b[39m\u001b[38;5;124m'\u001b[39m)\n",
      "\u001b[0;31mNameError\u001b[0m: name 'x_min' is not defined"
     ]
    }
   ],
   "source": [
    "# --------------------------------------\n",
    "# PLOT 3\n",
    "# --------------------------------------\n",
    "\n",
    "fig = go.Figure()\n",
    "fig.update_xaxes(showgrid=False)\n",
    "\n",
    "fig.update_layout(title='Distribution',\n",
    "                plot_bgcolor='rgba(0,0,0,0)',\n",
    "                paper_bgcolor='rgba(0,0,0,0)')\n",
    "\n",
    "# Zone heat calls\n",
    "num_zones = len(zones.keys())\n",
    "if 'zone_heat_calls' in selected_plot_keys:\n",
    "\n",
    "    y_labels = []\n",
    "\n",
    "    for zone in zones:\n",
    "        for key in [x for x in zones[zone] if 'state' in x]:\n",
    "\n",
    "            y_labels.append(key)\n",
    "    \n",
    "            for i in range(len(channels[key]['values'])):\n",
    "                if channels[key]['values'][i] == 1:\n",
    "                    y_start = int(key[4]) - 1\n",
    "                    y_end = int(key[4])\n",
    "                    x_value = channels[key]['times'][i]\n",
    "\n",
    "                    zone_colors = ['blue', 'orange', 'green', 'red']\n",
    "                    zone_color = zone_colors[y_start]\n",
    "\n",
    "                    fig.add_trace(go.Scatter(\n",
    "                        x=[x_value, x_value],\n",
    "                        y=[y_start, y_end],\n",
    "                        mode='lines',\n",
    "                        line=dict(color=zone_color, width=2),\n",
    "                        showlegend=False,\n",
    "                    ))\n",
    "            \n",
    "            fig.add_trace(go.Scatter(\n",
    "                x=[None], y=[None],  # No actual data\n",
    "                mode='lines',\n",
    "                line=dict(color=zone_color, width=2),\n",
    "                name=key  # Legend entry name\n",
    "            ))\n",
    "\n",
    "            # fig.add_annotation(\n",
    "            #     x=min(channels[key]['times']),\n",
    "            #     y=y_end - 0.5,\n",
    "            #     text=key,\n",
    "            #     showarrow=False,\n",
    "            #     font=dict(color=zone_color)  # Use the same color for the text\n",
    "            # )\n",
    "\n",
    "# fig.update_yaxes(\n",
    "#     tickvals=[i+0.5 for i in range(len(y_labels))],  # Tick positions\n",
    "#     ticktext=list(y_labels),  # Labels\n",
    "# )\n",
    "\n",
    "fig.update_layout(yaxis=dict(zeroline=False))\n",
    "fig.update_yaxes(showgrid=True, gridwidth=1, gridcolor='LightGray')\n",
    "\n",
    "fig.update_layout(\n",
    "    xaxis=dict(\n",
    "        range=[x_min, x_max],\n",
    "        mirror=True,\n",
    "        ticks='outside',\n",
    "        showline=True,\n",
    "        linecolor='rgb(42,63,96)',\n",
    "        ),\n",
    "    yaxis=dict(\n",
    "        mirror=True,\n",
    "        ticks='outside',\n",
    "        showline=True,\n",
    "        linecolor='rgb(42,63,96)',\n",
    "        ),\n",
    "    yaxis2=dict(\n",
    "        mirror=True,\n",
    "        ticks='outside',\n",
    "        showline=True,\n",
    "        linecolor='rgb(42,63,96)',\n",
    "        ),\n",
    "    legend=dict(\n",
    "        x=0,\n",
    "        y=1,\n",
    "        xanchor='left',\n",
    "        yanchor='top',\n",
    "    )\n",
    ")\n",
    "\n",
    "fig.show()\n",
    "fig.write_html('heatcalls.html')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "p12",
   "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": "3.12.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}