BCS-API_07_BlueskyFlying_FlyingBeamlineEnergy_BcszSync_nb.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Combining LabView BCS with Bluesky"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Overview"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This notebook demonstrates how the LabView Beamline Control System API can be used to implement a \"Single Motor Scan\" as an `ophyd` device. Furthermore, this \"Single Motor Scan\" device can be initiated by the `bluesky` Run Engine as a `fly` plan with data avaliable in a bluesky run document."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Brief Summary\n",
    "\n",
    "The bluesky `fly` plan will cede control to an `ophyd` \"[Fly-able Interface](http://nsls-ii.github.io/ophyd/architecture.html#fly-able-interface)\" (e.g., [FlyerInterface](https://github.com/bluesky/ophyd/blob/dd4b3e389a0202ecacce39fc3965d703c616b0d4/ophyd/flyers.py#L17)) to collect data asynchronously, and then return data as \"[event](https://blueskyproject.io/event-model/data-model.html#event-document)\" documents.\n",
    "\n",
    "The \"Fly-able Interface\" must:\n",
    "\n",
    "1. `kickoff()` the scan\n",
    "2. `complete()` data collection for the scan\n",
    "3. `describe_collect()`: provide a descriptor for the data that is being collected\n",
    "4. `collect()`: yield event document(s) that contain the data\n",
    "\n",
    "More details about this concept of embedding external control system scans into bluesky can be found in [this example notebook](https://github.com/BCDA-APS/bluesky_training/blob/31-sscan-1D-as-flyer/sscan_1d_flyer.ipynb).\n",
    "\n",
    "This example uses a _synchronous/blocking_ version of the BCS-API library (BCSz_sync.py), which is otherwise identical to the asynchronous version (BCSz.py). The blocking version was created because the bluesky Run Engine does not currently use `asyncio` `await` directive for the Fly-able interface methods."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Credits\n",
    "\n",
    "This example builds heavily upon two recently published works, as well as the many developers and contributors to the bluesky and BCS projects.\n",
    "\n",
    "* [BCS-API](http://bcsapi.als.lbl.gov:3080): ZeroMQ library and python bindings (BCSz.py) developed by [Damon English](https://github.com/daenglis) for interfacing with the Advanced Light Source's BCS control system.\n",
    "* [`sscan as 1D Flyer`](https://github.com/BCDA-APS/bluesky_training/blob/31-sscan-1D-as-flyer/sscan_1d_flyer.ipynb) example published by [Pete Jemian](https://github.com/prjemian) to demonstrate how the bluesky fly plan can be used to initiate scans and report data from external control systems (in that case, the EPICS sscan record)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Prepare the notebook settings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.core.interactiveshell import InteractiveShell\n",
    "\n",
    "# pretty print all cell's output and not just the last one\n",
    "InteractiveShell.ast_node_interactivity = \"all\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib\n",
    "%matplotlib notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "var kernel = IPython.notebook.kernel;\n",
       "var thename = window.document.getElementById(\"notebook_name\").innerHTML;\n",
       "var command = \"theNotebook = \" + \"'\"+thename+\"'\";\n",
       "kernel.execute(command);\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%javascript\n",
    "var kernel = IPython.notebook.kernel;\n",
    "var thename = window.document.getElementById(\"notebook_name\").innerHTML;\n",
    "var command = \"theNotebook = \" + \"'\"+thename+\"'\";\n",
    "kernel.execute(command);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'BCS-API_07_BlueskyFlying_FlyingBeamlineEnergy_BcszSync_nb'"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "try:\n",
    "    theNotebook\n",
    "except NameError as e:\n",
    "    theNotebook = \"BCS-API_07_BlueskyFlying_FlyingBeamlineEnergy_BcszSync_nb\"\n",
    "    theNotebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import logging\n",
    "logger = logging.getLogger()\n",
    "logger.setLevel(logging.DEBUG)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Setup bluesky"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "from bluesky import RunEngine\n",
    "\n",
    "RE = RunEngine({})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "from bluesky.callbacks.best_effort import BestEffortCallback\n",
    "bec = BestEffortCallback()\n",
    "\n",
    "# Send all metadata/data captured to the BestEffortCallback.\n",
    "bec_token = RE.subscribe(bec)\n",
    "bec.enable_table()  # Print hinted readings from the ‘primary’ stream in a LiveTable\n",
    "\n",
    "# Make plots update live while scans run.\n",
    "from bluesky.utils import install_kicker\n",
    "install_kicker()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from dotenv import load_dotenv\n",
    "\n",
    "load_dotenv()  # import environment variables from .env"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from databroker import Broker\n",
    "db = Broker.named('TEST')\n",
    "\n",
    "# Insert all metadata/data captured into db.\n",
    "RE.subscribe(db.insert)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "from bluesky.utils import ProgressBarManager\n",
    "RE.waiting_hook = ProgressBarManager()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'versions': {'ophyd': '1.6.1', 'bluesky': '1.6.7'},\n",
       " 'notebook': 'BCS-API_07_BlueskyFlying_FlyingBeamlineEnergy_BcszSync_nb'}"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "RE.md['notebook'] = theNotebook\n",
    "RE.md"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Setup BCS-API"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# These first two are necessary to use the API\n",
    "import asyncio\n",
    "import BCSz_sync\n",
    "\n",
    "# The rest of the imports are for the Example program\n",
    "import time\n",
    "import random\n",
    "\n",
    "# for working with images\n",
    "from PIL import Image\n",
    "import io\n",
    "from IPython.display import display # to display images\n",
    "\n",
    "# for plotting and working with files\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "from numpy import nan"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Helper classes and functions for reading data files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "def find_bcs_data(data):\n",
    "    \"\"\"\n",
    "    Keep trying to import the data into pandas until success\n",
    "    The older BCS scans (so called 'Beamline Scans') have a variably sized header.\n",
    "    \"\"\"\n",
    "    for skrows in range(30):\n",
    "        data.seek(0)\n",
    "        try:\n",
    "            df = pd.read_csv(data, sep='\\t', skiprows=skrows, nrows=10)\n",
    "            df['Time (s)']\n",
    "            break\n",
    "        except (pd.errors.ParserError, KeyError):\n",
    "            pass # try again with skrows +=1\n",
    "\n",
    "    data.seek(0)\n",
    "    return skrows\n",
    "\n",
    "\n",
    "def plot_bcs_file(file_text='', plot_title='', x='Time (s)', y=None):\n",
    "    \"\"\"Display example plot for API testing\"\"\"\n",
    "    data = io.StringIO(file_text)\n",
    "    skip_rows = find_bcs_data(data)\n",
    "    df = pd.read_csv(data, sep='\\t', skiprows=skip_rows)\n",
    "    print(df.columns)\n",
    "    df.drop(0, inplace=True)\n",
    "    print(df.head())\n",
    "\n",
    "    if not y:\n",
    "        y = random.choice(df.columns)\n",
    "\n",
    "    df.plot(kind='scatter', x=x, y=y)\n",
    "    plt.title(plot_title)\n",
    "    plt.show()\n",
    "    return df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Connect to BCS server"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Server Public Key b':<:F[m>!ig[5IrX75cn+zp5oR1JpVoB]Q54e6+{T'\n"
     ]
    }
   ],
   "source": [
    "bl402bcs = BCSz_sync.BCSServer()\n",
    "\n",
    "bl402bcs.connect(addr=str(os.environ[\"BCS_SERVER\"]), port=int(os.environ[\"BCS_PORT\"]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "---\n",
    "# PAUSE to check that beamline computer is available for testing\n",
    "\n",
    "No, seriously!  Ensure that no one else is using the beamline.\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Scan motors, read data\n",
    "## Careful!!!  This is moving real motors on the beamline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Define Ophyd devices for BCS + Bluesky"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "from ophyd import Device, Component, Signal\n",
    "from ophyd.status import DeviceStatus, SubscriptionStatus\n",
    "from ophyd.flyers import FlyerInterface"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Ophyd device for BCS Single Motor Flying Scan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "class BcsSingleMotorFlyingScan(Device):\n",
    "    \"\"\"\n",
    "    BCS Single Motor Flying Scan (continuous acquisition) as an Ophyd device\n",
    "    \"\"\"\n",
    "    \n",
    "    # Signals to enable subscriptions for scan setup\n",
    "    motor_name = Component(Signal, kind=\"config\", value='')\n",
    "    first_value = Component(Signal, kind=\"config\", value=nan)\n",
    "    last_value = Component(Signal, kind=\"config\", value=nan)\n",
    "    step_value = Component(Signal, kind=\"config\", value=nan)\n",
    "    velocity = Component(Signal, kind=\"config\", value=0.)\n",
    "    num_scans = Component(Signal, kind=\"config\", value=1)\n",
    "    bidirectional = Component(Signal, kind=\"config\", value=False)\n",
    "    final_move = Component(Signal, kind=\"config\", value=\"Stay\")\n",
    "    memo = Component(Signal, kind=\"config\", value='')\n",
    "    filename_pattern = Component(Signal,kind=\"config\", value=\"*.txt\")\n",
    "    \n",
    "    # Signals to enable subscriptions/polling for scan status\n",
    "    ready = Component(Signal, kind=\"omitted\", value=False)\n",
    "    busy = Component(Signal, kind=\"omitted\", value=False)\n",
    "    done = Component(Signal, kind=\"omitted\", value=True)\n",
    "    execute_scan = Component(Signal, kind=\"omitted\", value=True)\n",
    "    data_path = Component(Signal, kind=\"normal\", value='')\n",
    "\n",
    "\n",
    "    def scan_setup(\n",
    "            self, *, \n",
    "            # server: str, port: int, \n",
    "            bcs_server: BCSz_sync.BCSServer, \n",
    "            motor: str, start: float, stop: float, step: float, \n",
    "            velocity: float = 0., \n",
    "            num_scans: int = 1, bidirect: bool = False, \n",
    "            final: str = \"Stay\",\n",
    "            memo: str = '',\n",
    "            filename_pattern: str = \"*.txt\", \n",
    "            **kwargs):\n",
    "        \"\"\"Configure a BCS Single Motor Flying Scan\"\"\"\n",
    "        \n",
    "        # TODO: Check that bcs_server is connected\n",
    "        self._bcs = bcs_server\n",
    "        \n",
    "        self.motor_name.put(motor)\n",
    "        self.first_value.put(start)\n",
    "        self.last_value.put(stop)\n",
    "        self.step_value.put(step)\n",
    "        self.velocity.put(velocity)\n",
    "        self.num_scans.put(num_scans)\n",
    "        self.bidirectional.put(bidirect)\n",
    "        self.final_move.put(final)\n",
    "        self.memo.put(memo)\n",
    "        self.filename_pattern.put(filename_pattern)\n",
    "        \n",
    "        # Scan is configured and ready to execute\n",
    "        self.ready.put(True)\n",
    "\n",
    "\n",
    "    def set(self, value, **kwargs):\n",
    "        \"\"\"interface to use bps.mv()\"\"\"\n",
    "        if value != 1:\n",
    "            return\n",
    "        if self.ready.get():\n",
    "            bcs_st = self._bcs.scan_status()\n",
    "            self.busy.put(bcs_st[\"running_scan\"])\n",
    "        if (not self.ready.get()) or (self.busy.get()):\n",
    "            # TODO: Raise Warning that scan is not ready\n",
    "            return\n",
    "        \n",
    "        # Workaround until implemented in BCS Flying Scan API\n",
    "        velocity_value = self.velocity.get()\n",
    "        if (velocity_value == 0) and (self.motor_name.get() == \"Beamline Energy\"):\n",
    "            velocity_value = 0.01  # mm/sec for EPU Gap\n",
    "\n",
    "        async def check_for_acquire_done(self):\n",
    "            bcs_st = self._bcs.scan_status()\n",
    "            while bcs_st[\"running_scan\"]:\n",
    "                await asyncio.sleep(0.1)\n",
    "                bcs_st = self._bcs.scan_status()\n",
    "            else:\n",
    "                # bcs_st = self._bcs.scan_status()\n",
    "                print(\"Scan is finshed!\")\n",
    "                # print(f\"{bcs_st =}...\")\n",
    "                self.data_path.put(os.path.join(bcs_st[\"Log Directory\"], bcs_st[\"Last Filename\"]))\n",
    "                # print(f\"{self.data_path.get() =}\")\n",
    "                self.done.put(True)\n",
    "                self.busy.put(False)\n",
    "                \n",
    "        def check_value(*, old_value, value, **kwargs):\n",
    "            \"Return True when the acquisition is complete, False otherwise.\"\n",
    "            return (value and not old_value)\n",
    "        \n",
    "        status = SubscriptionStatus(self.done, check_value)\n",
    "        \n",
    "        self.execute_scan.put(True)\n",
    "        self._bcs.sc_single_motor_flying_scan(\n",
    "            x_motor=self.motor_name.get(), \n",
    "            start=self.first_value.get(), \n",
    "            stop=self.last_value.get(), \n",
    "            increment=self.step_value.get(), \n",
    "            velocity_units=velocity_value, \n",
    "            number_of_scans=self.num_scans.get(),\n",
    "            bidirect=self.bidirectional.get(),\n",
    "            at_end_of_scan=self.final_move.get(), \n",
    "            description=self.memo.get(),\n",
    "            file_pattern=self.filename_pattern.get(),\n",
    "            )\n",
    "        self.busy.put(True)\n",
    "        self.done.put(False)\n",
    "        # Give the scanner time to start\n",
    "        time.sleep(1)  # TODO: Is this needed?\n",
    "        self.execute_scan.put(False)\n",
    "        acquire_task = asyncio.create_task(check_for_acquire_done(self))\n",
    "        # acquire_task.add_done_callback()\n",
    "        \n",
    "        return status"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "ssFlyBeamlineEnergy = BcsSingleMotorFlyingScan(\"BCS402:\", name=\"ssFlyBeamlineEnergy\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "ssFlyBeamlineEnergy.scan_setup(\n",
    "        bcs_server=bl402bcs, \n",
    "        motor=\"Beamline Energy\", start=845., stop=860., step=0.05, velocity=0.,\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "BcsSingleMotorFlyingScanTuple(motor_name='Beamline Energy', first_value=845.0, last_value=860.0, step_value=0.05, velocity=0.0, num_scans=1, bidirectional=False, final_move='Stay', memo='', filename_pattern='*.txt', ready=True, busy=False, done=True, execute_scan=True, data_path='')"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ssFlyBeamlineEnergy.get()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Usying sycnchronous BCSs library"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SubscriptionStatus(device=ssFlyBeamlineEnergy_done, done=False, success=False)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ssFlyBeamlineEnergy.set(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... Scan is finshed!\n",
      "... "
     ]
    }
   ],
   "source": [
    "# Wait for scan to finish\n",
    "while ssFlyBeamlineEnergy.busy.get():\n",
    "    await asyncio.sleep(0.5)\n",
    "    print(\"...\", end=' ')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ssFlyBeamlineEnergy.busy.get()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ssFlyBeamlineEnergy.done.get()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'C:\\\\Beamline Controls\\\\BCS Setup Data\\\\211022\\\\SigScan 000133.txt'"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ssFlyBeamlineEnergy.data_path.get()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Helper functions for converting BCS data to Bluesky event model data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "from bcs_events import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "from datetime import datetime\n",
    "import event_model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Ophyd flyer to run BCS Single Motor Scan as a Bluesky \"flying\" scan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "class BcsSigFlyScanFlyer(FlyerInterface, BcsSingleMotorFlyingScan):\n",
    "    '''Example of BCS Single Motor Flying Scan accessed through Bluesky'''\n",
    "    \n",
    "    yield_array_events = Component(Signal, kind=\"config\", value=True)\n",
    "\n",
    "    def __init__(self, *args, **kwargs):\n",
    "        self._acquiring = False\n",
    "        self._paused = False\n",
    "\n",
    "        super().__init__(*args, **kwargs)\n",
    "        \n",
    "    def stage(self):\n",
    "        super().stage()\n",
    "        # self.select_channels()\n",
    "\n",
    "    def unstage(self):\n",
    "        super().unstage()\n",
    "        # self.select_channels()\n",
    "\n",
    "    def read_configuration(self):\n",
    "        return {}\n",
    "\n",
    "    def describe_configuration(self):\n",
    "        return {}\n",
    "\n",
    "    def kickoff(self):\n",
    "        \"\"\"Start the scan.\"\"\"\n",
    "        self.stage()\n",
    "        time.sleep(0.1)\n",
    "\n",
    "        # Check for currently running scan\n",
    "        bcs_st = self._bcs.scan_status()\n",
    "        if bcs_st[\"running_scan\"]:\n",
    "            raise RuntimeError(\"Cannot start scan. Another scan is already running.\")\n",
    "        \n",
    "        self.set(1)\n",
    "        self._acquiring = True\n",
    "        self._paused = False\n",
    "\n",
    "        status = DeviceStatus(self)\n",
    "        status.set_finished()  # means that kickoff was successful\n",
    "        return status\n",
    "\n",
    "    def complete(self):\n",
    "        \"\"\"Wait for sscan to complete.\"\"\"\n",
    "        logging.info(\"complete() starting\")\n",
    "        if not self._acquiring:\n",
    "            raise RuntimeError(\"Not acquiring\")\n",
    "\n",
    "        # status = DeviceStatus(self)\n",
    "        # cb_started = False\n",
    "\n",
    "        def is_scan_complete(*, old_value, value, **kwargs):\n",
    "            \"Return True when the acquisition is complete, False otherwise.\"\n",
    "            # value = bool(value)\n",
    "            if self._acquiring and value and not old_value:\n",
    "                logging.info(\"complete() ending\")\n",
    "                self.unstage()\n",
    "                self._acquiring = False\n",
    "                return True\n",
    "            return False\n",
    "\n",
    "        status = SubscriptionStatus(self.done, is_scan_complete)\n",
    "        \n",
    "        return status\n",
    "\n",
    "    def describe_collect(self):\n",
    "        \"\"\"\n",
    "        Provide schema & meta-data from collect().\n",
    "        \n",
    "        http://nsls-ii.github.io/ophyd/generated/ophyd.flyers.FlyerInterface.describe_collect.html\n",
    "        \"\"\"\n",
    "        # TODO: Add hinted signals\n",
    "        \n",
    "        ai_names = self._bcs.list_ais()['names']\n",
    "        \n",
    "        scan_motor = self.motor_name.get()\n",
    "        scan_channels = [\n",
    "            \"Time of Day\", \n",
    "            \"Time (s)\", \n",
    "            f\"{scan_motor}\", \n",
    "            ] + ai_names\n",
    "      \n",
    "        # DataFrame enables convenience functions from 'bcs_events'\n",
    "        data_df = pd.DataFrame(columns=scan_channels)\n",
    "\n",
    "        sanitize_event_data_keys = {col: sanitize_key(col) \n",
    "            for col in data_df.columns[1:].values}\n",
    "\n",
    "        descriptor_keys = get_descriptor_keys(\n",
    "            data_df, \n",
    "            sanitize_event_data_keys,\n",
    "            data_src=\"Inferred from AI List\")\n",
    "        \n",
    "        if self.yield_array_events.get():\n",
    "            # This is only for array events\n",
    "            reading_size = 1 + (self.last_value.get() - self.first_value.get()) / self.step_value.get()\n",
    "            array_descriptor_keys = {\n",
    "                key: prepend_dimension_to_descriptor_key(\n",
    "                    key=value, size=int(reading_size), dim_name=\"reading\") \n",
    "                for (key, value) in descriptor_keys.items()\n",
    "            }\n",
    "            descriptor_keys = array_descriptor_keys\n",
    "        \n",
    "        event_stream_name = \"primary\"\n",
    "        \n",
    "        return {event_stream_name: descriptor_keys}\n",
    "\n",
    "    def collect(self):\n",
    "        \"\"\"\n",
    "        Retrieve all collected data (after complete()).\n",
    "        \n",
    "        Retrieve data from the flyer as proto-events.\n",
    "        http://nsls-ii.github.io/ophyd/generated/ophyd.flyers.FlyerInterface.collect.html\n",
    "        \"\"\"\n",
    "        if self._acquiring:\n",
    "            raise RuntimeError(\"Acquisition still in progress. Call complete() first.\")\n",
    "        \n",
    "        def get_data_from_scan(self):\n",
    "            \"\"\"Extract data from scan output file; return as PANDAS DataFrame.\"\"\"\n",
    "            file_path = self.data_path.get()\n",
    "            if not file_path:\n",
    "                raise RuntimeError(\"There is no scan data. Call kickoff() first.\")\n",
    "            \n",
    "            file_text = self._bcs.get_text_file(file_path)['text']\n",
    "\n",
    "            # Get date from BCS data file header\n",
    "            with io.StringIO(file_text) as data_file:\n",
    "                data_file_date_str = data_file.readline().strip().split(\"Date: \", 1)[1]\n",
    "                data_date = datetime.strptime(data_file_date_str, \"%m/%d/%Y\").date()\n",
    "                self._data_date = data_date\n",
    "                \n",
    "            data = io.StringIO(file_text)\n",
    "            skip_rows = find_bcs_data(data)\n",
    "            df = pd.read_csv(data, sep='\\t', skiprows=skip_rows)\n",
    "            return df\n",
    "\n",
    "        def generate_scan_data_events(self):\n",
    "            \"\"\"Get the entire scan data and yield bluesky events.\"\"\"\n",
    "            data_df = get_data_from_scan(self)\n",
    "            num_points = len(data_df)\n",
    "            \n",
    "            # Run info will not be used by fly() plan\n",
    "            # ...enables convenience functions from 'bcs_events'\n",
    "            run_bundle = event_model.compose_run()\n",
    "            event_stream_name = 'primary'\n",
    "\n",
    "            sanitize_event_data_keys = {col: sanitize_key(col) \n",
    "                for col in data_df.columns[1:].values}\n",
    "\n",
    "            descriptor_keys = get_descriptor_keys(\n",
    "                data_df, \n",
    "                sanitize_event_data_keys,\n",
    "                data_src=self.data_path.get())\n",
    "    \n",
    "            stream_descriptor = run_bundle.compose_descriptor(\n",
    "                data_keys=descriptor_keys,\n",
    "                name=event_stream_name,\n",
    "                )\n",
    "\n",
    "            # Get date from BCS data file header\n",
    "#             with io.StringIO(self.data_path.get()) as data_file:\n",
    "#                 data_file_date_str = data_file.readline().strip().split(\"Date: \", 1)[1]\n",
    "#                 data_date = datetime.strptime(data_file_date_str, \"%m/%d/%Y\").date()\n",
    "            data_date = self._data_date\n",
    "    \n",
    "            if self.yield_array_events.get():\n",
    "                # This is only for array events\n",
    "                \n",
    "                data_df = add_timestamps(data_df, data_date, inplace=True)\n",
    "                data_df.drop('Time of Day', axis=1, inplace=True)  # Redundant; have timestamps\n",
    "                timestamp_col=\"timestamp\"\n",
    "                \n",
    "                timestamp = data_df.iloc[0][timestamp_col]\n",
    "                data_df.drop(timestamp_col, axis=1, inplace=True, errors=\"ignore\")\n",
    "            \n",
    "                event = make_array_event(\n",
    "                    data_df, timestamp, sanitize_event_data_keys, stream_descriptor)\n",
    "\n",
    "                # yield 'event', event\n",
    "                yield event\n",
    "        \n",
    "            \n",
    "            else:\n",
    "                data_df = get_timestamps(data_df, data_date, inplace=True)\n",
    "\n",
    "                def get_bundled_event(data_row):\n",
    "                    return get_event(\n",
    "                        data_row, sanitize_event_data_keys, stream_descriptor)\n",
    "\n",
    "                # Pack events into an event_page\n",
    "                events = data_df.apply(get_bundled_event, axis='columns').values\n",
    "\n",
    "                # yield 'event_page', event_model.pack_event_page(*events)\n",
    "\n",
    "                for event in events:\n",
    "                    # yield 'event', event\n",
    "                    yield dict(\n",
    "                        seq_num=event[\"seq_num\"],\n",
    "                        time=event[\"time\"],\n",
    "                        data=event[\"data\"],\n",
    "                        timestamps=event[\"timestamps\"],\n",
    "                    )\n",
    "\n",
    "        yield from generate_scan_data_events(self)\n",
    "        self.unstage()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "fly_FlyBeamlineEnergy = BcsSigFlyScanFlyer(\"BCS402:\", name=\"ssflyFlyBeamlineEnergy\")\n",
    "fly_FlyBeamlineEnergy.scan_setup(\n",
    "        bcs_server=bl402bcs, \n",
    "        motor=\"Beamline Energy\", start=845., stop=860., step=0.05, velocity=0.,\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "fly_FlyBeamlineEnergy.data_path.put('C:\\\\Beamline Controls\\\\BCS Setup Data\\\\211022\\\\SigScan 000133.txt')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'primary': {'Time (s)': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'sec',\n",
       "   'dims': ['reading']},\n",
       "  'Beamline Energy': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'eV',\n",
       "   'dims': ['reading']},\n",
       "  'I0 BL': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'counts / sec',\n",
       "   'dims': ['reading']},\n",
       "  'I0 ES': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'counts / sec',\n",
       "   'dims': ['reading']},\n",
       "  'EY': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'counts / sec',\n",
       "   'dims': ['reading']},\n",
       "  'LY': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'counts / sec',\n",
       "   'dims': ['reading']},\n",
       "  'FY': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'counts / sec',\n",
       "   'dims': ['reading']},\n",
       "  'EY SCVM': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'counts / sec',\n",
       "   'dims': ['reading']},\n",
       "  'LY SCVM': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'counts / sec',\n",
       "   'dims': ['reading']},\n",
       "  'Clock': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'counts',\n",
       "   'dims': ['reading']},\n",
       "  'Original Clock': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'counts',\n",
       "   'dims': ['reading']},\n",
       "  'Captured Mono Energy': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'eV',\n",
       "   'dims': ['reading']},\n",
       "  'Energy': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'eV',\n",
       "   'dims': ['reading']},\n",
       "  'Polarization': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': '',\n",
       "   'dims': ['reading']},\n",
       "  'Beam Current': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'mA',\n",
       "   'dims': ['reading']},\n",
       "  'Temp A': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'K',\n",
       "   'dims': ['reading']},\n",
       "  'Temp B': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'K',\n",
       "   'dims': ['reading']},\n",
       "  'Temp HT': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'K',\n",
       "   'dims': ['reading']},\n",
       "  'X': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'mm',\n",
       "   'dims': ['reading']},\n",
       "  'Y': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'mm',\n",
       "   'dims': ['reading']},\n",
       "  'Z': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'mm',\n",
       "   'dims': ['reading']},\n",
       "  'Theta': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'degrees',\n",
       "   'dims': ['reading']},\n",
       "  'M206 Pitch': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'mm',\n",
       "   'dims': ['reading']},\n",
       "  'I0 BL Amp (nA)': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'nA / V',\n",
       "   'dims': ['reading']},\n",
       "  'I0 ES Amp (nA)': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'nA / V',\n",
       "   'dims': ['reading']},\n",
       "  'EY Amp (nA)': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'nA / V',\n",
       "   'dims': ['reading']},\n",
       "  'LY Amp (nA)': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'nA / V',\n",
       "   'dims': ['reading']},\n",
       "  'FY Amp (nA)': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'nA / V',\n",
       "   'dims': ['reading']},\n",
       "  'EY SCVM Amp (nA)': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'nA / V',\n",
       "   'dims': ['reading']},\n",
       "  'LY SCVM Amp (nA)': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'nA / V',\n",
       "   'dims': ['reading']},\n",
       "  'EPU Energy': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'eV',\n",
       "   'dims': ['reading']},\n",
       "  'EPU Gap': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'mm',\n",
       "   'dims': ['reading']},\n",
       "  'EPU Phase': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'mm',\n",
       "   'dims': ['reading']},\n",
       "  'EPU A': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'mm',\n",
       "   'dims': ['reading']},\n",
       "  'EPU B': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'mm',\n",
       "   'dims': ['reading']},\n",
       "  'EPU Harmonic': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': '',\n",
       "   'dims': ['reading']},\n",
       "  'Mono Energy': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'eV',\n",
       "   'dims': ['reading']},\n",
       "  'Grating Posn': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'um',\n",
       "   'dims': ['reading']},\n",
       "  'Grating Goal': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'um',\n",
       "   'dims': ['reading']},\n",
       "  'Grating Error': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'um',\n",
       "   'dims': ['reading']},\n",
       "  'Premirror Posn': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'um',\n",
       "   'dims': ['reading']},\n",
       "  'Premirror Goal': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'um',\n",
       "   'dims': ['reading']},\n",
       "  'Premirror Error': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'um',\n",
       "   'dims': ['reading']},\n",
       "  'Premirror Stepper': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'counts',\n",
       "   'dims': ['reading']},\n",
       "  'Premirror Stepper div 2': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'counts',\n",
       "   'dims': ['reading']},\n",
       "  'Premirror Encoder': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'counts',\n",
       "   'dims': ['reading']},\n",
       "  'Grating Stepper': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'counts',\n",
       "   'dims': ['reading']},\n",
       "  'Grating Stepper div 2': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'counts',\n",
       "   'dims': ['reading']},\n",
       "  'Grating Encoder': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'counts',\n",
       "   'dims': ['reading']},\n",
       "  'Grating Posn Error': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'um',\n",
       "   'dims': ['reading']},\n",
       "  'Premirror Posn Error': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'um',\n",
       "   'dims': ['reading']},\n",
       "  'Jack Posn': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'um',\n",
       "   'dims': ['reading']},\n",
       "  'Gate': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': '',\n",
       "   'dims': ['reading']},\n",
       "  'Gate 2': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': '',\n",
       "   'dims': ['reading']},\n",
       "  'EPU Gap from Delta Tau': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'mm',\n",
       "   'dims': ['reading']},\n",
       "  'EPU Set Vert Velocity': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'mm / sec',\n",
       "   'dims': ['reading']},\n",
       "  'EPU Set Horiz Velocity': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'mm / sec',\n",
       "   'dims': ['reading']},\n",
       "  'bl_input': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': '',\n",
       "   'dims': ['reading']},\n",
       "  'bl_input_h': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': '',\n",
       "   'dims': ['reading']},\n",
       "  'A Phase': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'mm',\n",
       "   'dims': ['reading']},\n",
       "  'B Phase': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'mm',\n",
       "   'dims': ['reading']},\n",
       "  'Captured Grating': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'um',\n",
       "   'dims': ['reading']},\n",
       "  'Captured Premirror': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'um',\n",
       "   'dims': ['reading']},\n",
       "  'Captured Jack': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'um',\n",
       "   'dims': ['reading']},\n",
       "  'Captured EPU Gap': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'mm',\n",
       "   'dims': ['reading']},\n",
       "  'Goal Premirror': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'um',\n",
       "   'dims': ['reading']},\n",
       "  'OOP Mono Energy': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'eV',\n",
       "   'dims': ['reading']},\n",
       "  'OOP Grating': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'um',\n",
       "   'dims': ['reading']},\n",
       "  'OOP Premirror': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'um',\n",
       "   'dims': ['reading']},\n",
       "  'OOP Jack': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'um',\n",
       "   'dims': ['reading']},\n",
       "  'OOP Energy Error': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'eV',\n",
       "   'dims': ['reading']},\n",
       "  'OOP Grating Error': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'um',\n",
       "   'dims': ['reading']},\n",
       "  'OOP Premirror Error': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'um',\n",
       "   'dims': ['reading']},\n",
       "  'Goal Premirror Error': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'um',\n",
       "   'dims': ['reading']},\n",
       "  'Entrance Slit Width': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'um',\n",
       "   'dims': ['reading']},\n",
       "  'Exit Slit Width': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'um',\n",
       "   'dims': ['reading']},\n",
       "  'LabVIEW Memory': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': '',\n",
       "   'dims': ['reading']},\n",
       "  'EPU Gap in position': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': '',\n",
       "   'dims': ['reading']},\n",
       "  'EPU Z in position': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': '',\n",
       "   'dims': ['reading']},\n",
       "  'LY SCVM (Original)': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': 'counts / sec',\n",
       "   'dims': ['reading']},\n",
       "  'C2 U2': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': '',\n",
       "   'dims': ['reading']},\n",
       "  'C2 U3': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': '',\n",
       "   'dims': ['reading']},\n",
       "  'C2 U4': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': '',\n",
       "   'dims': ['reading']},\n",
       "  'C2 U5': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': '',\n",
       "   'dims': ['reading']},\n",
       "  'C2 U6': {'dtype': 'number',\n",
       "   'source': 'Inferred from AI List',\n",
       "   'shape': [301],\n",
       "   'units': '',\n",
       "   'dims': ['reading']}}}"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fly_FlyBeamlineEnergy.describe_collect()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'uid': 'e2ab3220-f0e3-45d6-85d6-d8543d5ed363', 'time': 1634953403.5594962, 'data': {'Time (s)': array([67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334,\n",
      "       67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334,\n",
      "       67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334,\n",
      "       67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334,\n",
      "       67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334,\n",
      "       67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334,\n",
      "       67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334,\n",
      "       67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334,\n",
      "       67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334,\n",
      "       67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334,\n",
      "       67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334,\n",
      "       67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334,\n",
      "       67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334,\n",
      "       67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334,\n",
      "       67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334,\n",
      "       67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334,\n",
      "       67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334,\n",
      "       67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334,\n",
      "       67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334,\n",
      "       67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334,\n",
      "       67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334,\n",
      "       67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334,\n",
      "       67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334,\n",
      "       67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334,\n",
      "       67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334,\n",
      "       67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334,\n",
      "       67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334,\n",
      "       67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334,\n",
      "       67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334,\n",
      "       67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334,\n",
      "       67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334,\n",
      "       67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334,\n",
      "       67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334,\n",
      "       67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334,\n",
      "       67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334,\n",
      "       67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334,\n",
      "       67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334, 67.334,\n",
      "       67.334, 67.334, 67.334, 67.334, 67.334]), 'Beamline Energy': array([845.  , 845.05, 845.1 , 845.15, 845.2 , 845.25, 845.3 , 845.35,\n",
      "       845.4 , 845.45, 845.5 , 845.55, 845.6 , 845.65, 845.7 , 845.75,\n",
      "       845.8 , 845.85, 845.9 , 845.95, 846.  , 846.05, 846.1 , 846.15,\n",
      "       846.2 , 846.25, 846.3 , 846.35, 846.4 , 846.45, 846.5 , 846.55,\n",
      "       846.6 , 846.65, 846.7 , 846.75, 846.8 , 846.85, 846.9 , 846.95,\n",
      "       847.  , 847.05, 847.1 , 847.15, 847.2 , 847.25, 847.3 , 847.35,\n",
      "       847.4 , 847.45, 847.5 , 847.55, 847.6 , 847.65, 847.7 , 847.75,\n",
      "       847.8 , 847.85, 847.9 , 847.95, 848.  , 848.05, 848.1 , 848.15,\n",
      "       848.2 , 848.25, 848.3 , 848.35, 848.4 , 848.45, 848.5 , 848.55,\n",
      "       848.6 , 848.65, 848.7 , 848.75, 848.8 , 848.85, 848.9 , 848.95,\n",
      "       849.  , 849.05, 849.1 , 849.15, 849.2 , 849.25, 849.3 , 849.35,\n",
      "       849.4 , 849.45, 849.5 , 849.55, 849.6 , 849.65, 849.7 , 849.75,\n",
      "       849.8 , 849.85, 849.9 , 849.95, 850.  , 850.05, 850.1 , 850.15,\n",
      "       850.2 , 850.25, 850.3 , 850.35, 850.4 , 850.45, 850.5 , 850.55,\n",
      "       850.6 , 850.65, 850.7 , 850.75, 850.8 , 850.85, 850.9 , 850.95,\n",
      "       851.  , 851.05, 851.1 , 851.15, 851.2 , 851.25, 851.3 , 851.35,\n",
      "       851.4 , 851.45, 851.5 , 851.55, 851.6 , 851.65, 851.7 , 851.75,\n",
      "       851.8 , 851.85, 851.9 , 851.95, 852.  , 852.05, 852.1 , 852.15,\n",
      "       852.2 , 852.25, 852.3 , 852.35, 852.4 , 852.45, 852.5 , 852.55,\n",
      "       852.6 , 852.65, 852.7 , 852.75, 852.8 , 852.85, 852.9 , 852.95,\n",
      "       853.  , 853.05, 853.1 , 853.15, 853.2 , 853.25, 853.3 , 853.35,\n",
      "       853.4 , 853.45, 853.5 , 853.55, 853.6 , 853.65, 853.7 , 853.75,\n",
      "       853.8 , 853.85, 853.9 , 853.95, 854.  , 854.05, 854.1 , 854.15,\n",
      "       854.2 , 854.25, 854.3 , 854.35, 854.4 , 854.45, 854.5 , 854.55,\n",
      "       854.6 , 854.65, 854.7 , 854.75, 854.8 , 854.85, 854.9 , 854.95,\n",
      "       855.  , 855.05, 855.1 , 855.15, 855.2 , 855.25, 855.3 , 855.35,\n",
      "       855.4 , 855.45, 855.5 , 855.55, 855.6 , 855.65, 855.7 , 855.75,\n",
      "       855.8 , 855.85, 855.9 , 855.95, 856.  , 856.05, 856.1 , 856.15,\n",
      "       856.2 , 856.25, 856.3 , 856.35, 856.4 , 856.45, 856.5 , 856.55,\n",
      "       856.6 , 856.65, 856.7 , 856.75, 856.8 , 856.85, 856.9 , 856.95,\n",
      "       857.  , 857.05, 857.1 , 857.15, 857.2 , 857.25, 857.3 , 857.35,\n",
      "       857.4 , 857.45, 857.5 , 857.55, 857.6 , 857.65, 857.7 , 857.75,\n",
      "       857.8 , 857.85, 857.9 , 857.95, 858.  , 858.05, 858.1 , 858.15,\n",
      "       858.2 , 858.25, 858.3 , 858.35, 858.4 , 858.45, 858.5 , 858.55,\n",
      "       858.6 , 858.65, 858.7 , 858.75, 858.8 , 858.85, 858.9 , 858.95,\n",
      "       859.  , 859.05, 859.1 , 859.15, 859.2 , 859.25, 859.3 , 859.35,\n",
      "       859.4 , 859.45, 859.5 , 859.55, 859.6 , 859.65, 859.7 , 859.75,\n",
      "       859.8 , 859.85, 859.9 , 859.95, 860.  ]), 'I0 BL': array([45196., 36229., 34889., 39669., 35610., 40390., 34800., 35175.,\n",
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      "       5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205,\n",
      "       5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205,\n",
      "       5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205,\n",
      "       5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205,\n",
      "       5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205,\n",
      "       5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205,\n",
      "       5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205,\n",
      "       5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205,\n",
      "       5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205,\n",
      "       5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205,\n",
      "       5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205,\n",
      "       5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205,\n",
      "       5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205,\n",
      "       5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205,\n",
      "       5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205,\n",
      "       5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205,\n",
      "       5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205,\n",
      "       5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205,\n",
      "       5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205, 5.9205,\n",
      "       5.9205, 5.9205, 5.9205, 5.9205, 5.9205]), 'I0 BL Amp (nA)': array([1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n",
      "       1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n",
      "       1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n",
      "       1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n",
      "       1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n",
      "       1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n",
      "       1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n",
      "       1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n",
      "       1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n",
      "       1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n",
      "       1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n",
      "       1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n",
      "       1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n",
      "       1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n",
      "       1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n",
      "       1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n",
      "       1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n",
      "       1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.]), 'I0 ES Amp (nA)': array([2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2.,\n",
      "       2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2.,\n",
      "       2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2.,\n",
      "       2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2.,\n",
      "       2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2.,\n",
      "       2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2.,\n",
      "       2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2.,\n",
      "       2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2.,\n",
      "       2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2.,\n",
      "       2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2.,\n",
      "       2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2.,\n",
      "       2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2.,\n",
      "       2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2.,\n",
      "       2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2.,\n",
      "       2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2.,\n",
      "       2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2.,\n",
      "       2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2.,\n",
      "       2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2.]), 'EY Amp (nA)': array([0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2,\n",
      "       0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2,\n",
      "       0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2,\n",
      "       0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2,\n",
      "       0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2,\n",
      "       0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2,\n",
      "       0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2,\n",
      "       0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2,\n",
      "       0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2,\n",
      "       0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2,\n",
      "       0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2,\n",
      "       0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2,\n",
      "       0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2,\n",
      "       0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2,\n",
      "       0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2,\n",
      "       0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2,\n",
      "       0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2,\n",
      "       0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2,\n",
      "       0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2,\n",
      "       0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2,\n",
      "       0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2,\n",
      "       0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2,\n",
      "       0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2,\n",
      "       0.2, 0.2]), 'LY Amp (nA)': array([0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n",
      "       0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n",
      "       0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n",
      "       0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n",
      "       0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n",
      "       0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n",
      "       0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n",
      "       0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n",
      "       0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n",
      "       0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n",
      "       0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n",
      "       0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n",
      "       0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n",
      "       0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n",
      "       0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n",
      "       0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n",
      "       0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n",
      "       0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n",
      "       0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n",
      "       0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n",
      "       0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n",
      "       0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n",
      "       0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n",
      "       0.5, 0.5]), 'FY Amp (nA)': array([-1000., -1000., -1000., -1000., -1000., -1000., -1000., -1000.,\n",
      "       -1000., -1000., -1000., -1000., -1000., -1000., -1000., -1000.,\n",
      "       -1000., -1000., -1000., -1000., -1000., -1000., -1000., -1000.,\n",
      "       -1000., -1000., -1000., -1000., -1000., -1000., -1000., -1000.,\n",
      "       -1000., -1000., -1000., -1000., -1000., -1000., -1000., -1000.,\n",
      "       -1000., -1000., -1000., -1000., -1000., -1000., -1000., -1000.,\n",
      "       -1000., -1000., -1000., -1000., -1000., -1000., -1000., -1000.,\n",
      "       -1000., -1000., -1000., -1000., -1000., -1000., -1000., -1000.,\n",
      "       -1000., -1000., -1000., -1000., -1000., -1000., -1000., -1000.,\n",
      "       -1000., -1000., -1000., -1000., -1000., -1000., -1000., -1000.,\n",
      "       -1000., -1000., -1000., -1000., -1000., -1000., -1000., -1000.,\n",
      "       -1000., -1000., -1000., -1000., -1000., -1000., -1000., -1000.,\n",
      "       -1000., -1000., -1000., -1000., -1000., -1000., -1000., -1000.,\n",
      "       -1000., -1000., -1000., -1000., -1000., -1000., -1000., -1000.,\n",
      "       -1000., -1000., -1000., -1000., -1000., -1000., -1000., -1000.,\n",
      "       -1000., -1000., -1000., -1000., -1000., -1000., -1000., -1000.,\n",
      "       -1000., -1000., -1000., -1000., -1000., -1000., -1000., -1000.,\n",
      "       -1000., -1000., -1000., -1000., -1000., -1000., -1000., -1000.,\n",
      "       -1000., -1000., -1000., -1000., -1000., -1000., -1000., -1000.,\n",
      "       -1000., -1000., -1000., -1000., -1000., -1000., -1000., -1000.,\n",
      "       -1000., -1000., -1000., -1000., -1000., -1000., -1000., -1000.,\n",
      "       -1000., -1000., -1000., -1000., -1000., -1000., -1000., -1000.,\n",
      "       -1000., -1000., -1000., -1000., -1000., -1000., -1000., -1000.,\n",
      "       -1000., -1000., -1000., -1000., -1000., -1000., -1000., -1000.,\n",
      "       -1000., -1000., -1000., -1000., -1000., -1000., -1000., -1000.,\n",
      "       -1000., -1000., -1000., -1000., -1000., -1000., -1000., -1000.,\n",
      "       -1000., -1000., -1000., -1000., -1000., -1000., -1000., -1000.,\n",
      "       -1000., -1000., -1000., -1000., -1000., -1000., -1000., -1000.,\n",
      "       -1000., -1000., -1000., -1000., -1000., -1000., -1000., -1000.,\n",
      "       -1000., -1000., -1000., -1000., -1000., -1000., -1000., -1000.,\n",
      "       -1000., -1000., -1000., -1000., -1000., -1000., -1000., -1000.,\n",
      "       -1000., -1000., -1000., -1000., -1000., -1000., -1000., -1000.,\n",
      "       -1000., -1000., -1000., -1000., -1000., -1000., -1000., -1000.,\n",
      "       -1000., -1000., -1000., -1000., -1000., -1000., -1000., -1000.,\n",
      "       -1000., -1000., -1000., -1000., -1000., -1000., -1000., -1000.,\n",
      "       -1000., -1000., -1000., -1000., -1000., -1000., -1000., -1000.,\n",
      "       -1000., -1000., -1000., -1000., -1000., -1000., -1000., -1000.,\n",
      "       -1000., -1000., -1000., -1000., -1000.]), 'EY SCVM Amp (nA)': array([5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5.,\n",
      "       5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5.,\n",
      "       5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5.,\n",
      "       5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5.,\n",
      "       5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5.,\n",
      "       5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5.,\n",
      "       5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5.,\n",
      "       5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5.,\n",
      "       5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5.,\n",
      "       5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5.,\n",
      "       5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5.,\n",
      "       5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5.,\n",
      "       5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5.,\n",
      "       5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5.,\n",
      "       5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5.,\n",
      "       5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5.,\n",
      "       5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5.,\n",
      "       5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5.]), 'LY SCVM Amp (nA)': array([5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5.,\n",
      "       5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5.,\n",
      "       5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5.,\n",
      "       5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5.,\n",
      "       5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5.,\n",
      "       5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5.,\n",
      "       5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5.,\n",
      "       5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5.,\n",
      "       5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5.,\n",
      "       5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5.,\n",
      "       5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5.,\n",
      "       5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5.,\n",
      "       5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5.,\n",
      "       5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5.,\n",
      "       5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5.,\n",
      "       5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5.,\n",
      "       5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5.,\n",
      "       5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5., 5.]), 'EPU Energy': array([859.68277148, 859.68277148, 859.68277148, 859.68277148,\n",
      "       859.68277148, 859.68277148, 859.68277148, 859.68277148,\n",
      "       859.68277148, 859.68277148, 859.68277148, 859.68277148,\n",
      "       859.68277148, 859.68277148, 859.68277148, 859.68277148,\n",
      "       859.68277148, 859.68277148, 859.68277148, 859.68277148,\n",
      "       859.68277148, 859.68277148, 859.68277148, 859.68277148,\n",
      "       859.68277148, 859.68277148, 859.68277148, 859.68277148,\n",
      "       859.68277148, 859.68277148, 859.68277148, 859.68277148,\n",
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      "       859.78824615]), 'Grating Posn': array([26379.87, 26379.87, 26379.87, 26379.87, 26379.87, 26379.87,\n",
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      "       26379.87]), 'Grating Goal': array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
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      "       2843524.5, 2843524.5, 2843524.5, 2843524.5, 2843524.5, 2843524.5,\n",
      "       2843524.5]), 'Premirror Posn': array([24490.38, 24490.38, 24490.38, 24490.38, 24490.38, 24490.38,\n",
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      "       24490.38, 24490.38, 24490.38, 24490.38, 24490.38, 24490.38,\n",
      "       24490.38]), 'Premirror Goal': array([24802.36786181, 24802.36786181, 24802.36786181, 24802.36786181,\n",
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      "       -5170691.]), 'Grating Stepper': array([-5869388., -5869388., -5869388., -5869388., -5869388., -5869388.,\n",
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      "       -2934694., -2934694., -2934694., -2934694., -2934694., -2934694.,\n",
      "       -2934694.]), 'Grating Encoder': array([-5778213., -5778213., -5778213., -5778213., -5778213., -5778213.,\n",
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      "       -5778213.]), 'Grating Posn Error': array([26379.87, 26379.87, 26379.87, 26379.87, 26379.87, 26379.87,\n",
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      "       26379.87, 26379.87, 26379.87, 26379.87, 26379.87, 26379.87,\n",
      "       26379.87, 26379.87, 26379.87, 26379.87, 26379.87, 26379.87,\n",
      "       26379.87, 26379.87, 26379.87, 26379.87, 26379.87, 26379.87,\n",
      "       26379.87, 26379.87, 26379.87, 26379.87, 26379.87, 26379.87,\n",
      "       26379.87, 26379.87, 26379.87, 26379.87, 26379.87, 26379.87,\n",
      "       26379.87, 26379.87, 26379.87, 26379.87, 26379.87, 26379.87,\n",
      "       26379.87, 26379.87, 26379.87, 26379.87, 26379.87, 26379.87,\n",
      "       26379.87, 26379.87, 26379.87, 26379.87, 26379.87, 26379.87,\n",
      "       26379.87, 26379.87, 26379.87, 26379.87, 26379.87, 26379.87,\n",
      "       26379.87, 26379.87, 26379.87, 26379.87, 26379.87, 26379.87,\n",
      "       26379.87, 26379.87, 26379.87, 26379.87, 26379.87, 26379.87,\n",
      "       26379.87, 26379.87, 26379.87, 26379.87, 26379.87, 26379.87,\n",
      "       26379.87, 26379.87, 26379.87, 26379.87, 26379.87, 26379.87,\n",
      "       26379.87, 26379.87, 26379.87, 26379.87, 26379.87, 26379.87,\n",
      "       26379.87, 26379.87, 26379.87, 26379.87, 26379.87, 26379.87,\n",
      "       26379.87, 26379.87, 26379.87, 26379.87, 26379.87, 26379.87,\n",
      "       26379.87, 26379.87, 26379.87, 26379.87, 26379.87, 26379.87,\n",
      "       26379.87]), 'Premirror Posn Error': array([-311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
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      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
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      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
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      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
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      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181, -311.98786181, -311.98786181, -311.98786181,\n",
      "       -311.98786181]), 'Jack Posn': array([-942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7,\n",
      "       -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7,\n",
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      "       -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7,\n",
      "       -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7,\n",
      "       -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7,\n",
      "       -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7,\n",
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      "       -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7,\n",
      "       -942.7, -942.7, -942.7, -942.7, -942.7]), 'Gate': array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
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      "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.]), 'EPU Gap from Delta Tau': array([27.67, 27.67, 27.67, 27.67, 27.67, 27.67, 27.67, 27.67, 27.67,\n",
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      "       27.67, 27.67, 27.67, 27.67, 27.67, 27.67, 27.67, 27.67, 27.67,\n",
      "       27.67, 27.67, 27.67, 27.67, 27.67, 27.67, 27.67, 27.67, 27.67,\n",
      "       27.67, 27.67, 27.67, 27.67, 27.67, 27.67, 27.67, 27.67, 27.67,\n",
      "       27.67, 27.67, 27.67, 27.67, 27.67, 27.67, 27.67, 27.67, 27.67,\n",
      "       27.67, 27.67, 27.67, 27.67, 27.67, 27.67, 27.67, 27.67, 27.67,\n",
      "       27.67, 27.67, 27.67, 27.67]), 'EPU Set Vert Velocity': array([2.06933775, 0.01      , 0.01      , 0.01      , 0.01      ,\n",
      "       0.01      , 0.01      , 0.01      , 0.01      , 0.01      ,\n",
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      "       0.01      , 0.01      , 0.01      , 0.01      , 0.01      ,\n",
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      "       0.01      , 0.01      , 0.01      , 0.01      , 0.01      ,\n",
      "       0.01      , 0.01      , 0.01      , 0.01      , 0.01      ,\n",
      "       0.01      , 0.01      , 0.01      , 0.01      , 0.01      ,\n",
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      "       0.01      , 0.01      , 0.01      , 0.01      , 0.01      ,\n",
      "       0.01      , 0.01      , 0.01      , 0.01      , 0.01      ,\n",
      "       0.01      , 0.01      , 0.01      , 0.01      , 0.01      ,\n",
      "       0.01      , 0.01      , 0.01      , 0.01      , 0.01      ,\n",
      "       0.01      , 0.01      , 0.01      , 0.01      , 0.01      ,\n",
      "       0.01      , 0.01      , 0.01      , 0.01      , 0.01      ,\n",
      "       0.01      , 0.01      , 0.01      , 0.01      , 0.01      ,\n",
      "       0.01      , 0.01      , 0.01      , 0.01      , 0.01      ,\n",
      "       0.01      , 0.01      , 0.01      , 0.01      , 0.01      ,\n",
      "       0.01      , 0.01      , 0.01      , 0.01      , 0.01      ,\n",
      "       0.01      , 0.01      , 0.01      , 0.01      , 0.01      ,\n",
      "       0.01      , 0.01      , 0.01      , 0.01      , 0.01      ,\n",
      "       0.01      , 0.01      , 0.01      , 0.01      , 0.01      ,\n",
      "       0.01      , 0.01      , 0.01      , 0.01      , 0.01      ,\n",
      "       0.01      , 0.01      , 0.01      , 0.01      , 0.01      ,\n",
      "       0.01      , 0.01      , 0.01      , 0.01      , 0.01      ,\n",
      "       0.01      , 0.01      , 0.01      , 0.01      , 0.01      ,\n",
      "       0.01      , 0.01      , 0.01      , 0.01      , 0.01      ,\n",
      "       0.01      , 0.01      , 0.01      , 0.01      , 0.01      ,\n",
      "       0.01      , 0.01      , 0.01      , 0.01      , 0.01      ,\n",
      "       0.01      , 0.01      , 0.01      , 0.01      , 0.01      ,\n",
      "       0.01      ]), 'EPU Set Horiz Velocity': array([16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7,\n",
      "       16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7,\n",
      "       16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7,\n",
      "       16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7,\n",
      "       16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7,\n",
      "       16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7,\n",
      "       16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7,\n",
      "       16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7,\n",
      "       16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7,\n",
      "       16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7,\n",
      "       16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7,\n",
      "       16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7,\n",
      "       16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7,\n",
      "       16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7,\n",
      "       16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7,\n",
      "       16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7,\n",
      "       16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7,\n",
      "       16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7,\n",
      "       16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7,\n",
      "       16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7,\n",
      "       16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7,\n",
      "       16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7,\n",
      "       16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7,\n",
      "       16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7,\n",
      "       16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7,\n",
      "       16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7,\n",
      "       16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7, 16.7,\n",
      "       16.7, 16.7, 16.7, 16.7]), 'bl_input': array([27.28065949, 27.28065949, 27.28065949, 27.28065949, 27.28065949,\n",
      "       27.75447359, 27.82681162, 27.82681162, 27.82681162, 27.82681162,\n",
      "       27.82681162, 27.82681162, 27.82681162, 27.82681162, 27.82681162,\n",
      "       27.82681162, 27.82681162, 27.82681162, 27.82681162, 27.82681162,\n",
      "       27.82681162, 27.82681162, 27.82681162, 27.82681162, 27.82681162,\n",
      "       27.82681162, 27.82681162, 27.82681162, 27.82681162, 27.82681162,\n",
      "       27.82681162, 27.82681162, 27.82681162, 27.82681162, 27.82681162,\n",
      "       27.82681162, 27.82681162, 27.82681162, 27.82681162, 27.82681162,\n",
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      "       27.82681162, 27.82681162, 27.82681162, 27.82681162, 27.82681162,\n",
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      "       27.82681162, 27.82681162, 27.82681162, 27.82681162, 27.82681162,\n",
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      "       27.82681162, 27.82681162, 27.82681162, 27.82681162, 27.82681162,\n",
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      "       27.82681162, 27.82681162, 27.82681162, 27.82681162, 27.82681162,\n",
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      "       27.82681162, 27.82681162, 27.82681162, 27.82681162, 27.82681162,\n",
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      "       27.82681162, 27.82681162, 27.82681162, 27.82681162, 27.82681162,\n",
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      "       27.82681162, 27.82681162, 27.82681162, 27.82681162, 27.82681162,\n",
      "       27.82681162, 27.82681162, 27.82681162, 27.82681162, 27.82681162,\n",
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      "       27.82681162, 27.82681162, 27.82681162, 27.82681162, 27.82681162,\n",
      "       27.82681162]), 'bl_input_h': array([-0.016, -0.016, -0.016, -0.016, -0.016, -0.016, -0.016, -0.016,\n",
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      "       -0.01599141, -0.01599141, -0.01599141, -0.01599141, -0.01599141,\n",
      "       -0.01599141, -0.01599141, -0.01599141, -0.01599141, -0.01599141,\n",
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      "       -0.01599141, -0.01599141, -0.01599141, -0.01599141, -0.01599141,\n",
      "       -0.01599141, -0.01599141, -0.01599141, -0.01599141, -0.01599141,\n",
      "       -0.01599141, -0.01599141, -0.01599141, -0.01599141, -0.01599141,\n",
      "       -0.01599141, -0.01599141, -0.01599141, -0.01599141, -0.01599141,\n",
      "       -0.01599141, -0.01599141, -0.01599141, -0.01599141, -0.01599141,\n",
      "       -0.01599141, -0.01599141, -0.01599141, -0.01599141, -0.01599141,\n",
      "       -0.01599141, -0.01599141, -0.01599141, -0.01599141, -0.01599141,\n",
      "       -0.01599141, -0.01599141, -0.01599141, -0.01599141, -0.01599141,\n",
      "       -0.01599141, -0.01599141, -0.01599141, -0.01599141, -0.01599141,\n",
      "       -0.01599141, -0.01599141, -0.01599141, -0.01599141, -0.01599141,\n",
      "       -0.01599141, -0.01599141, -0.01599141, -0.01599141, -0.01599141,\n",
      "       -0.01599141, -0.01599141, -0.01599141, -0.01599141, -0.01599141,\n",
      "       -0.01599141, -0.01599141, -0.01599141, -0.01599141, -0.01599141,\n",
      "       -0.01599141, -0.01599141, -0.01599141, -0.01599141, -0.01599141,\n",
      "       -0.01599141, -0.01599141, -0.01599141, -0.01599141, -0.01599141,\n",
      "       -0.01599141, -0.01599141, -0.01599141, -0.01599141, -0.01599141,\n",
      "       -0.01599141, -0.01599141, -0.01599141, -0.01599141, -0.01599141,\n",
      "       -0.01599141, -0.01599141, -0.01599141, -0.01599141, -0.01599141,\n",
      "       -0.01599141, -0.01599141, -0.01599141, -0.01599141, -0.01599141,\n",
      "       -0.01599141, -0.01599141, -0.01599141, -0.01599141, -0.01599141,\n",
      "       -0.01599141]), 'B Phase': array([-0.01596743, -0.01596743, -0.01596743, -0.01596743, -0.01596743,\n",
      "       -0.01596743, -0.01596743, -0.01596743, -0.01596743, -0.01596743,\n",
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      "       -0.01591743, -0.01591743, -0.01591743, -0.01591743, -0.01591743,\n",
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      "       -0.01591743, -0.01591743, -0.01591743, -0.01591743, -0.01591743,\n",
      "       -0.01591743, -0.01591743, -0.01591743, -0.01591743, -0.01591743,\n",
      "       -0.01591743, -0.01591743, -0.01591743, -0.01591743, -0.01591743,\n",
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      "       -0.01591743, -0.01591743, -0.01591743, -0.01591743, -0.01591743,\n",
      "       -0.01591743, -0.01591743, -0.01591743, -0.01591743, -0.01591743,\n",
      "       -0.01591743, -0.01591743, -0.01591743, -0.01591743, -0.01591743,\n",
      "       -0.0159565 , -0.01596743, -0.01596743, -0.01596743, -0.01596743,\n",
      "       -0.01596743, -0.01596743, -0.01596743, -0.01596743, -0.01596743,\n",
      "       -0.01596743, -0.01596743, -0.01596743, -0.01596743, -0.01596743,\n",
      "       -0.01596743, -0.01596743, -0.01596743, -0.01596743, -0.01596743,\n",
      "       -0.01596743, -0.01596743, -0.01596743, -0.01596743, -0.01596743,\n",
      "       -0.01596743, -0.01596743, -0.01596743, -0.01596743, -0.01596743,\n",
      "       -0.01596743, -0.01596743, -0.01596743, -0.01596743, -0.01596743,\n",
      "       -0.01596743, -0.01596743, -0.01596743, -0.01596743, -0.01596743,\n",
      "       -0.01596743, -0.01596743, -0.01596743, -0.01596743, -0.01596743,\n",
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      "       -0.01596743, -0.01596743, -0.01596743, -0.01596743, -0.01596743,\n",
      "       -0.01596743, -0.01596743, -0.01596743, -0.01596743, -0.01596743,\n",
      "       -0.01596743, -0.01596743, -0.01596743, -0.01596743, -0.01596743,\n",
      "       -0.01596743, -0.01596743, -0.01596743, -0.01596743, -0.01596743,\n",
      "       -0.01596743, -0.01596743, -0.01596743, -0.01596743, -0.01596743,\n",
      "       -0.01596743, -0.01596743, -0.01596743, -0.01596743, -0.01596743,\n",
      "       -0.01596743, -0.01596743, -0.01596743, -0.01596743, -0.01596743,\n",
      "       -0.01596743, -0.01596743, -0.01596743, -0.01596743, -0.01596743,\n",
      "       -0.01596743, -0.01596743, -0.01598829, -0.01601743, -0.01601743,\n",
      "       -0.01601743, -0.01601743, -0.01601743, -0.01601743, -0.01601743,\n",
      "       -0.01601743, -0.01601743, -0.01601743, -0.01601743, -0.01601743,\n",
      "       -0.01601743, -0.01601743, -0.01601743, -0.01601743, -0.01601743,\n",
      "       -0.01601743, -0.01601743, -0.01601743, -0.01601743, -0.01601743,\n",
      "       -0.01601743, -0.01601743, -0.01601743, -0.01601743, -0.01601743,\n",
      "       -0.01601743, -0.01601743, -0.01601743, -0.01601743, -0.01601743,\n",
      "       -0.01601743]), 'Captured Grating': array([26613.96, 26613.18, 26612.41, 26611.63, 26610.86, 26610.08,\n",
      "       26609.3 , 26608.53, 26607.75, 26606.98, 26606.2 , 26605.42,\n",
      "       26604.65, 26603.87, 26603.1 , 26602.32, 26601.55, 26600.77,\n",
      "       26600.  , 26599.22, 26598.45, 26597.67, 26596.9 , 26596.12,\n",
      "       26595.35, 26594.57, 26593.8 , 26593.02, 26592.25, 26591.47,\n",
      "       26590.7 , 26589.92, 26589.15, 26588.38, 26587.6 , 26586.83,\n",
      "       26586.05, 26585.28, 26584.51, 26583.73, 26582.96, 26582.19,\n",
      "       26581.41, 26580.64, 26579.87, 26579.09, 26578.32, 26577.55,\n",
      "       26576.77, 26576.  , 26575.23, 26574.45, 26573.68, 26572.91,\n",
      "       26572.13, 26571.36, 26570.59, 26569.82, 26569.04, 26568.27,\n",
      "       26567.5 , 26566.73, 26565.96, 26565.18, 26564.41, 26563.64,\n",
      "       26562.87, 26562.1 , 26561.32, 26560.55, 26559.78, 26559.01,\n",
      "       26558.24, 26557.47, 26556.69, 26555.92, 26555.15, 26554.38,\n",
      "       26553.61, 26552.84, 26552.07, 26551.3 , 26550.53, 26549.76,\n",
      "       26548.98, 26548.21, 26547.44, 26546.67, 26545.9 , 26545.13,\n",
      "       26544.36, 26543.59, 26542.82, 26542.05, 26541.28, 26540.51,\n",
      "       26539.74, 26538.97, 26538.2 , 26537.43, 26536.66, 26535.89,\n",
      "       26535.12, 26534.35, 26533.59, 26532.82, 26532.05, 26531.28,\n",
      "       26530.51, 26529.74, 26528.97, 26528.2 , 26527.43, 26526.66,\n",
      "       26525.9 , 26525.13, 26524.36, 26523.59, 26522.82, 26522.05,\n",
      "       26521.29, 26520.52, 26519.75, 26518.98, 26518.21, 26517.44,\n",
      "       26516.68, 26515.91, 26515.14, 26514.37, 26513.61, 26512.84,\n",
      "       26512.07, 26511.3 , 26510.54, 26509.77, 26509.  , 26508.24,\n",
      "       26507.47, 26506.7 , 26505.93, 26505.17, 26504.4 , 26503.63,\n",
      "       26502.87, 26502.1 , 26501.33, 26500.57, 26499.8 , 26499.04,\n",
      "       26498.27, 26497.5 , 26496.74, 26495.97, 26495.2 , 26494.44,\n",
      "       26493.67, 26492.91, 26492.14, 26491.38, 26490.61, 26489.85,\n",
      "       26489.08, 26488.31, 26487.55, 26486.78, 26486.02, 26485.25,\n",
      "       26484.49, 26483.72, 26482.96, 26482.19, 26481.43, 26480.66,\n",
      "       26479.9 , 26479.14, 26478.37, 26477.61, 26476.84, 26476.08,\n",
      "       26475.31, 26474.55, 26473.79, 26473.02, 26472.26, 26471.49,\n",
      "       26470.73, 26469.97, 26469.2 , 26468.44, 26467.68, 26466.91,\n",
      "       26466.15, 26465.39, 26464.62, 26463.86, 26463.1 , 26462.33,\n",
      "       26461.57, 26460.81, 26460.04, 26459.28, 26458.52, 26457.76,\n",
      "       26456.99, 26456.23, 26455.47, 26454.71, 26453.94, 26453.18,\n",
      "       26452.42, 26451.66, 26450.9 , 26450.13, 26449.37, 26448.61,\n",
      "       26447.85, 26447.09, 26446.32, 26445.56, 26444.8 , 26444.04,\n",
      "       26443.28, 26442.52, 26441.76, 26440.99, 26440.23, 26439.47,\n",
      "       26438.71, 26437.95, 26437.19, 26436.43, 26435.67, 26434.91,\n",
      "       26434.15, 26433.39, 26432.63, 26431.87, 26431.11, 26430.35,\n",
      "       26429.59, 26428.82, 26428.06, 26427.3 , 26426.55, 26425.79,\n",
      "       26425.03, 26424.27, 26423.51, 26422.75, 26421.99, 26421.23,\n",
      "       26420.47, 26419.71, 26418.95, 26418.19, 26417.43, 26416.67,\n",
      "       26415.91, 26415.15, 26414.4 , 26413.64, 26412.88, 26412.12,\n",
      "       26411.36, 26410.6 , 26409.84, 26409.09, 26408.33, 26407.57,\n",
      "       26406.81, 26406.05, 26405.29, 26404.54, 26403.78, 26403.02,\n",
      "       26402.26, 26401.51, 26400.75, 26399.99, 26399.23, 26398.48,\n",
      "       26397.72, 26396.96, 26396.2 , 26395.45, 26394.69, 26393.93,\n",
      "       26393.17, 26392.42, 26391.66, 26390.9 , 26390.15, 26389.39,\n",
      "       26388.63, 26387.88, 26387.12, 26386.36, 26385.61, 26384.85,\n",
      "       26384.1 ]), 'Captured Premirror': array([24677.4 , 24676.86, 24676.25, 24675.55, 24674.97, 24674.25,\n",
      "       24673.67, 24673.02, 24672.4 , 24671.87, 24671.22, 24670.69,\n",
      "       24670.04, 24669.44, 24668.87, 24668.1 , 24667.45, 24666.88,\n",
      "       24666.31, 24665.67, 24665.05, 24664.35, 24663.83, 24663.07,\n",
      "       24662.48, 24661.86, 24661.27, 24660.69, 24660.11, 24659.52,\n",
      "       24658.92, 24658.26, 24657.65, 24657.01, 24656.31, 24655.73,\n",
      "       24655.06, 24654.61, 24653.9 , 24653.27, 24652.78, 24652.2 ,\n",
      "       24651.38, 24650.8 , 24650.25, 24649.55, 24648.85, 24648.26,\n",
      "       24647.61, 24647.02, 24646.5 , 24645.86, 24645.15, 24644.6 ,\n",
      "       24643.97, 24643.4 , 24642.77, 24642.15, 24641.69, 24641.02,\n",
      "       24640.28, 24639.67, 24638.97, 24638.42, 24637.76, 24637.23,\n",
      "       24636.62, 24635.99, 24635.42, 24634.71, 24634.19, 24633.51,\n",
      "       24632.94, 24632.37, 24631.61, 24631.01, 24630.5 , 24629.87,\n",
      "       24629.18, 24628.61, 24627.91, 24627.37, 24626.72, 24626.32,\n",
      "       24625.55, 24624.81, 24624.28, 24623.66, 24622.98, 24622.41,\n",
      "       24621.69, 24621.1 , 24620.57, 24619.92, 24619.34, 24618.76,\n",
      "       24618.17, 24617.57, 24616.78, 24616.23, 24615.68, 24615.09,\n",
      "       24614.28, 24613.84, 24613.13, 24612.62, 24611.96, 24611.48,\n",
      "       24610.82, 24610.11, 24609.49, 24608.91, 24608.33, 24607.61,\n",
      "       24606.99, 24606.36, 24605.79, 24605.11, 24604.49, 24603.88,\n",
      "       24603.33, 24602.61, 24602.09, 24601.52, 24600.88, 24600.36,\n",
      "       24599.76, 24599.17, 24598.49, 24597.82, 24597.21, 24596.52,\n",
      "       24595.91, 24595.32, 24594.8 , 24594.1 , 24593.52, 24592.93,\n",
      "       24592.34, 24591.72, 24591.13, 24590.53, 24589.89, 24589.25,\n",
      "       24588.63, 24587.9 , 24587.41, 24586.85, 24586.24, 24585.59,\n",
      "       24584.9 , 24584.35, 24583.71, 24583.13, 24582.4 , 24581.87,\n",
      "       24581.3 , 24580.66, 24580.03, 24579.53, 24578.84, 24578.13,\n",
      "       24577.64, 24577.09, 24576.41, 24575.83, 24575.19, 24574.55,\n",
      "       24573.97, 24573.31, 24572.63, 24572.04, 24571.37, 24570.92,\n",
      "       24570.24, 24569.72, 24569.08, 24568.47, 24567.95, 24567.27,\n",
      "       24566.69, 24566.01, 24565.38, 24564.82, 24564.18, 24563.55,\n",
      "       24562.98, 24562.36, 24561.78, 24561.18, 24560.39, 24559.82,\n",
      "       24559.25, 24558.63, 24558.08, 24557.46, 24556.92, 24556.29,\n",
      "       24555.68, 24555.  , 24554.32, 24553.79, 24553.24, 24552.6 ,\n",
      "       24551.95, 24551.37, 24550.78, 24550.12, 24549.47, 24548.94,\n",
      "       24548.27, 24547.64, 24547.12, 24546.44, 24545.94, 24545.31,\n",
      "       24544.67, 24544.14, 24543.44, 24542.78, 24542.15, 24541.63,\n",
      "       24540.99, 24540.41, 24539.92, 24539.24, 24538.4 , 24537.98,\n",
      "       24537.35, 24536.77, 24536.24, 24535.54, 24534.92, 24534.34,\n",
      "       24533.72, 24533.21, 24532.54, 24531.8 , 24531.19, 24530.57,\n",
      "       24530.04, 24529.42, 24528.75, 24528.27, 24527.62, 24527.05,\n",
      "       24526.51, 24525.78, 24525.22, 24524.47, 24524.  , 24523.44,\n",
      "       24522.7 , 24522.15, 24521.55, 24520.91, 24520.39, 24519.77,\n",
      "       24519.15, 24518.56, 24517.86, 24517.31, 24516.77, 24516.24,\n",
      "       24515.64, 24514.87, 24514.37, 24513.67, 24513.13, 24512.45,\n",
      "       24511.87, 24511.18, 24510.61, 24510.08, 24509.38, 24508.82,\n",
      "       24508.15, 24507.6 , 24507.05, 24506.32, 24505.78, 24505.17,\n",
      "       24504.56, 24504.02, 24503.31, 24502.73, 24502.18, 24501.57,\n",
      "       24500.94, 24500.35, 24499.87, 24499.22, 24498.63, 24498.08,\n",
      "       24497.32, 24496.83, 24496.16, 24495.54, 24494.95, 24494.3 ,\n",
      "       24493.72]), 'Captured Jack': array([-942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7,\n",
      "       -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7,\n",
      "       -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7,\n",
      "       -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7,\n",
      "       -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7,\n",
      "       -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7,\n",
      "       -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7,\n",
      "       -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7,\n",
      "       -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7,\n",
      "       -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7,\n",
      "       -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7,\n",
      "       -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7,\n",
      "       -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7,\n",
      "       -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7,\n",
      "       -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7,\n",
      "       -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7,\n",
      "       -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7,\n",
      "       -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7,\n",
      "       -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7,\n",
      "       -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7,\n",
      "       -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7,\n",
      "       -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7,\n",
      "       -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7,\n",
      "       -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7,\n",
      "       -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7,\n",
      "       -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7,\n",
      "       -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7,\n",
      "       -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7,\n",
      "       -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7,\n",
      "       -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7,\n",
      "       -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7,\n",
      "       -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7,\n",
      "       -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7,\n",
      "       -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7,\n",
      "       -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7,\n",
      "       -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7,\n",
      "       -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7, -942.7,\n",
      "       -942.7, -942.7, -942.7, -942.7, -942.7]), 'Captured EPU Gap': array([27.435, 27.435, 27.436, 27.437, 27.437, 27.438, 27.439, 27.44 ,\n",
      "       27.441, 27.441, 27.442, 27.443, 27.444, 27.445, 27.445, 27.446,\n",
      "       27.447, 27.448, 27.449, 27.449, 27.45 , 27.451, 27.452, 27.453,\n",
      "       27.453, 27.454, 27.455, 27.456, 27.456, 27.457, 27.458, 27.459,\n",
      "       27.46 , 27.46 , 27.461, 27.462, 27.463, 27.463, 27.464, 27.465,\n",
      "       27.466, 27.466, 27.467, 27.468, 27.469, 27.47 , 27.47 , 27.471,\n",
      "       27.472, 27.473, 27.474, 27.474, 27.475, 27.476, 27.477, 27.477,\n",
      "       27.478, 27.479, 27.48 , 27.48 , 27.481, 27.482, 27.483, 27.484,\n",
      "       27.485, 27.485, 27.486, 27.487, 27.488, 27.488, 27.489, 27.49 ,\n",
      "       27.491, 27.492, 27.492, 27.493, 27.494, 27.495, 27.495, 27.496,\n",
      "       27.497, 27.498, 27.499, 27.499, 27.5  , 27.501, 27.502, 27.502,\n",
      "       27.503, 27.504, 27.505, 27.506, 27.506, 27.507, 27.508, 27.509,\n",
      "       27.509, 27.51 , 27.511, 27.512, 27.513, 27.514, 27.514, 27.515,\n",
      "       27.516, 27.517, 27.517, 27.518, 27.519, 27.52 , 27.52 , 27.521,\n",
      "       27.522, 27.523, 27.524, 27.525, 27.525, 27.526, 27.527, 27.528,\n",
      "       27.528, 27.529, 27.53 , 27.531, 27.532, 27.532, 27.533, 27.534,\n",
      "       27.535, 27.535, 27.536, 27.537, 27.538, 27.539, 27.539, 27.54 ,\n",
      "       27.541, 27.542, 27.542, 27.543, 27.544, 27.545, 27.545, 27.546,\n",
      "       27.547, 27.548, 27.549, 27.55 , 27.55 , 27.551, 27.552, 27.553,\n",
      "       27.554, 27.554, 27.555, 27.556, 27.557, 27.558, 27.558, 27.559,\n",
      "       27.56 , 27.561, 27.561, 27.562, 27.563, 27.564, 27.565, 27.565,\n",
      "       27.566, 27.567, 27.568, 27.569, 27.569, 27.57 , 27.571, 27.572,\n",
      "       27.573, 27.573, 27.574, 27.575, 27.575, 27.576, 27.577, 27.578,\n",
      "       27.579, 27.58 , 27.58 , 27.581, 27.582, 27.583, 27.583, 27.584,\n",
      "       27.585, 27.586, 27.586, 27.587, 27.588, 27.589, 27.59 , 27.591,\n",
      "       27.591, 27.592, 27.593, 27.594, 27.594, 27.595, 27.596, 27.597,\n",
      "       27.598, 27.598, 27.599, 27.6  , 27.601, 27.601, 27.602, 27.603,\n",
      "       27.604, 27.605, 27.606, 27.606, 27.607, 27.608, 27.609, 27.61 ,\n",
      "       27.61 , 27.611, 27.612, 27.613, 27.614, 27.614, 27.615, 27.616,\n",
      "       27.617, 27.617, 27.618, 27.619, 27.62 , 27.621, 27.621, 27.622,\n",
      "       27.623, 27.624, 27.625, 27.625, 27.626, 27.627, 27.627, 27.628,\n",
      "       27.629, 27.63 , 27.631, 27.632, 27.633, 27.633, 27.634, 27.635,\n",
      "       27.635, 27.636, 27.637, 27.638, 27.639, 27.64 , 27.64 , 27.641,\n",
      "       27.642, 27.643, 27.643, 27.644, 27.645, 27.646, 27.646, 27.647,\n",
      "       27.648, 27.649, 27.65 , 27.65 , 27.651, 27.652, 27.653, 27.654,\n",
      "       27.654, 27.655, 27.656, 27.657, 27.658, 27.658, 27.659, 27.66 ,\n",
      "       27.661, 27.661, 27.662, 27.663, 27.664, 27.665, 27.666, 27.666,\n",
      "       27.667, 27.668, 27.669, 27.67 , 27.67 ]), 'Goal Premirror': array([24677.99250467, 24677.36918989, 24676.75386633, 24676.13055155,\n",
      "       24675.51522799, 24674.89191321, 24674.26859844, 24673.65327487,\n",
      "       24673.0299601 , 24672.41463653, 24671.79132176, 24671.16800698,\n",
      "       24670.55268342, 24669.92936864, 24669.31404508, 24668.6907303 ,\n",
      "       24668.07540674, 24667.45209197, 24666.8367684 , 24666.21345363,\n",
      "       24665.59813006, 24664.97481529, 24664.35949173, 24663.73617695,\n",
      "       24663.12085339, 24662.49753861, 24661.88221505, 24661.25890027,\n",
      "       24660.64357671, 24660.02026193, 24659.40493837, 24658.78162359,\n",
      "       24658.16630003, 24657.55097647, 24656.92766169, 24656.31233813,\n",
      "       24655.68902336, 24655.07369979, 24654.45837623, 24653.83506146,\n",
      "       24653.21973789, 24652.60441433, 24651.98109955, 24651.36577599,\n",
      "       24650.75045243, 24650.12713765, 24649.51181409, 24648.89649053,\n",
      "       24648.27317575, 24647.65785219, 24647.04252863, 24646.41921385,\n",
      "       24645.80389029, 24645.18856673, 24644.56525195, 24643.94992839,\n",
      "       24643.33460483, 24642.71928127, 24642.09596649, 24641.48064293,\n",
      "       24640.86531937, 24640.24999581, 24639.63467224, 24639.01135747,\n",
      "       24638.39603391, 24637.78071034, 24637.16538678, 24636.55006322,\n",
      "       24635.92674844, 24635.31142488, 24634.69610132, 24634.08077776,\n",
      "       24633.4654542 , 24632.85013063, 24632.22681586, 24631.6114923 ,\n",
      "       24630.99616873, 24630.38084517, 24629.76552161, 24629.15019805,\n",
      "       24628.53487449, 24627.91955093, 24627.30422736, 24626.6889038 ,\n",
      "       24626.06558902, 24625.45026546, 24624.8349419 , 24624.21961834,\n",
      "       24623.60429478, 24622.98897122, 24622.37364765, 24621.75832409,\n",
      "       24621.14300053, 24620.52767697, 24619.91235341, 24619.29702985,\n",
      "       24618.68170628, 24618.06638272, 24617.45105916, 24616.8357356 ,\n",
      "       24616.22041204, 24615.60508847, 24614.98976491, 24614.37444135,\n",
      "       24613.767109  , 24613.15178544, 24612.53646188, 24611.92113832,\n",
      "       24611.30581476, 24610.6904912 , 24610.07516763, 24609.45984407,\n",
      "       24608.84452051, 24608.22919695, 24607.6218646 , 24607.00654104,\n",
      "       24606.39121748, 24605.77589392, 24605.16057035, 24604.54524679,\n",
      "       24603.93791445, 24603.32259088, 24602.70726732, 24602.09194376,\n",
      "       24601.4766202 , 24600.86129664, 24600.25396429, 24599.63864073,\n",
      "       24599.02331717, 24598.40799361, 24597.80066126, 24597.1853377 ,\n",
      "       24596.57001414, 24595.95469057, 24595.34735823, 24594.73203466,\n",
      "       24594.1167111 , 24593.50937876, 24592.89405519, 24592.27873163,\n",
      "       24591.66340807, 24591.05607572, 24590.44075216, 24589.8254286 ,\n",
      "       24589.21809625, 24588.60277269, 24587.98744913, 24587.38011678,\n",
      "       24586.76479322, 24586.15746088, 24585.54213731, 24584.92681375,\n",
      "       24584.31948141, 24583.70415784, 24583.08883428, 24582.48150194,\n",
      "       24581.86617837, 24581.25884603, 24580.64352246, 24580.03619012,\n",
      "       24579.42086656, 24578.81353421, 24578.19821065, 24577.58288709,\n",
      "       24576.97555474, 24576.36023118, 24575.75289883, 24575.13757527,\n",
      "       24574.53024292, 24573.91491936, 24573.30758701, 24572.69226345,\n",
      "       24572.08493111, 24571.46960754, 24570.8622752 , 24570.25494285,\n",
      "       24569.63961929, 24569.03228694, 24568.41696338, 24567.80963103,\n",
      "       24567.19430747, 24566.58697513, 24565.97964278, 24565.36431922,\n",
      "       24564.75698687, 24564.14166331, 24563.53433096, 24562.92699861,\n",
      "       24562.31167505, 24561.70434271, 24561.09701036, 24560.4816868 ,\n",
      "       24559.87435445, 24559.2670221 , 24558.65169854, 24558.0443662 ,\n",
      "       24557.43703385, 24556.82171029, 24556.21437794, 24555.60704559,\n",
      "       24554.99172203, 24554.38438969, 24553.77705734, 24553.16972499,\n",
      "       24552.55440143, 24551.94706908, 24551.33973674, 24550.73240439,\n",
      "       24550.11708083, 24549.50974848, 24548.90241614, 24548.29508379,\n",
      "       24547.68775144, 24547.07242788, 24546.46509553, 24545.85776319,\n",
      "       24545.25043084, 24544.64309849, 24544.02777493, 24543.42044259,\n",
      "       24542.81311024, 24542.20577789, 24541.59844555, 24540.9911132 ,\n",
      "       24540.38378085, 24539.76845729, 24539.16112494, 24538.5537926 ,\n",
      "       24537.94646025, 24537.3391279 , 24536.73179556, 24536.12446321,\n",
      "       24535.51713086, 24534.90979852, 24534.30246617, 24533.69513382,\n",
      "       24533.08780148, 24532.48046913, 24531.87313678, 24531.26580444,\n",
      "       24530.65847209, 24530.04314853, 24529.43581618, 24528.82848383,\n",
      "       24528.2291427 , 24527.62181036, 24527.01447801, 24526.40714566,\n",
      "       24525.79981332, 24525.19248097, 24524.58514862, 24523.97781628,\n",
      "       24523.37048393, 24522.76315158, 24522.15581924, 24521.54848689,\n",
      "       24520.94115454, 24520.3338222 , 24519.72648985, 24519.1191575 ,\n",
      "       24518.51981637, 24517.91248402, 24517.30515168, 24516.69781933,\n",
      "       24516.09048698, 24515.48315464, 24514.87582229, 24514.27648116,\n",
      "       24513.66914881, 24513.06181647, 24512.45448412, 24511.84715177,\n",
      "       24511.23981943, 24510.64047829, 24510.03314595, 24509.4258136 ,\n",
      "       24508.81848125, 24508.21914012, 24507.61180778, 24507.00447543,\n",
      "       24506.39714308, 24505.79780195, 24505.1904696 , 24504.58313726,\n",
      "       24503.97580491, 24503.37646378, 24502.76913143, 24502.16179909,\n",
      "       24501.55446674, 24500.95512561, 24500.34779326, 24499.74046091,\n",
      "       24499.14111978, 24498.53378744, 24497.92645509, 24497.32711396,\n",
      "       24496.71978161, 24496.11244926, 24495.51310813, 24494.90577579,\n",
      "       24494.30643465]), 'OOP Mono Energy': array([845.  , 845.05, 845.1 , 845.15, 845.2 , 845.25, 845.3 , 845.35,\n",
      "       845.4 , 845.45, 845.5 , 845.55, 845.6 , 845.65, 845.7 , 845.75,\n",
      "       845.8 , 845.85, 845.9 , 845.95, 846.  , 846.05, 846.1 , 846.15,\n",
      "       846.2 , 846.25, 846.3 , 846.35, 846.4 , 846.45, 846.5 , 846.55,\n",
      "       846.6 , 846.65, 846.7 , 846.75, 846.8 , 846.85, 846.9 , 846.95,\n",
      "       847.  , 847.05, 847.1 , 847.15, 847.2 , 847.25, 847.3 , 847.35,\n",
      "       847.4 , 847.45, 847.5 , 847.55, 847.6 , 847.65, 847.7 , 847.75,\n",
      "       847.8 , 847.85, 847.9 , 847.95, 848.  , 848.05, 848.1 , 848.15,\n",
      "       848.2 , 848.25, 848.3 , 848.35, 848.4 , 848.45, 848.5 , 848.55,\n",
      "       848.6 , 848.65, 848.7 , 848.75, 848.8 , 848.85, 848.9 , 848.95,\n",
      "       849.  , 849.05, 849.1 , 849.15, 849.2 , 849.25, 849.3 , 849.35,\n",
      "       849.4 , 849.45, 849.5 , 849.55, 849.6 , 849.65, 849.7 , 849.75,\n",
      "       849.8 , 849.85, 849.9 , 849.95, 850.  , 850.05, 850.1 , 850.15,\n",
      "       850.2 , 850.25, 850.3 , 850.35, 850.4 , 850.45, 850.5 , 850.55,\n",
      "       850.6 , 850.65, 850.7 , 850.75, 850.8 , 850.85, 850.9 , 850.95,\n",
      "       851.  , 851.05, 851.1 , 851.15, 851.2 , 851.25, 851.3 , 851.35,\n",
      "       851.4 , 851.45, 851.5 , 851.55, 851.6 , 851.65, 851.7 , 851.75,\n",
      "       851.8 , 851.85, 851.9 , 851.95, 852.  , 852.05, 852.1 , 852.15,\n",
      "       852.2 , 852.25, 852.3 , 852.35, 852.4 , 852.45, 852.5 , 852.55,\n",
      "       852.6 , 852.65, 852.7 , 852.75, 852.8 , 852.85, 852.9 , 852.95,\n",
      "       853.  , 853.05, 853.1 , 853.15, 853.2 , 853.25, 853.3 , 853.35,\n",
      "       853.4 , 853.45, 853.5 , 853.55, 853.6 , 853.65, 853.7 , 853.75,\n",
      "       853.8 , 853.85, 853.9 , 853.95, 854.  , 854.05, 854.1 , 854.15,\n",
      "       854.2 , 854.25, 854.3 , 854.35, 854.4 , 854.45, 854.5 , 854.55,\n",
      "       854.6 , 854.65, 854.7 , 854.75, 854.8 , 854.85, 854.9 , 854.95,\n",
      "       855.  , 855.05, 855.1 , 855.15, 855.2 , 855.25, 855.3 , 855.35,\n",
      "       855.4 , 855.45, 855.5 , 855.55, 855.6 , 855.65, 855.7 , 855.75,\n",
      "       855.8 , 855.85, 855.9 , 855.95, 856.  , 856.05, 856.1 , 856.15,\n",
      "       856.2 , 856.25, 856.3 , 856.35, 856.4 , 856.45, 856.5 , 856.55,\n",
      "       856.6 , 856.65, 856.7 , 856.75, 856.8 , 856.85, 856.9 , 856.95,\n",
      "       857.  , 857.05, 857.1 , 857.15, 857.2 , 857.25, 857.3 , 857.35,\n",
      "       857.4 , 857.45, 857.5 , 857.55, 857.6 , 857.65, 857.7 , 857.75,\n",
      "       857.8 , 857.85, 857.9 , 857.95, 858.  , 858.05, 858.1 , 858.15,\n",
      "       858.2 , 858.25, 858.3 , 858.35, 858.4 , 858.45, 858.5 , 858.55,\n",
      "       858.6 , 858.65, 858.7 , 858.75, 858.8 , 858.85, 858.9 , 858.95,\n",
      "       859.  , 859.05, 859.1 , 859.15, 859.2 , 859.25, 859.3 , 859.35,\n",
      "       859.4 , 859.45, 859.5 , 859.55, 859.6 , 859.65, 859.7 , 859.75,\n",
      "       859.8 , 859.85, 859.9 , 859.95, 860.  ]), 'OOP Grating': array([26613.960518  , 26613.18414113, 26612.40783328, 26611.63159443,\n",
      "       26610.85542458, 26610.07932371, 26609.30329182, 26608.5273289 ,\n",
      "       26607.75143492, 26606.9756099 , 26606.1998538 , 26605.42416663,\n",
      "       26604.64854838, 26603.87299903, 26603.09751857, 26602.322107  ,\n",
      "       26601.5467643 , 26600.77149045, 26599.99628547, 26599.22114932,\n",
      "       26598.44608201, 26597.67108352, 26596.89615384, 26596.12129296,\n",
      "       26595.34650088, 26594.57177757, 26593.79712304, 26593.02253727,\n",
      "       26592.24802025, 26591.47357197, 26590.69919241, 26589.92488158,\n",
      "       26589.15063947, 26588.37646605, 26587.60236131, 26586.82832526,\n",
      "       26586.05435788, 26585.28045916, 26584.50662908, 26583.73286765,\n",
      "       26582.95917485, 26582.18555066, 26581.41199508, 26580.6385081 ,\n",
      "       26579.86508971, 26579.09173989, 26578.31845865, 26577.54524596,\n",
      "       26576.77210182, 26575.99902622, 26575.22601915, 26574.45308059,\n",
      "       26573.68021054, 26572.90740899, 26572.13467592, 26571.36201133,\n",
      "       26570.58941521, 26569.81688754, 26569.04442833, 26568.27203754,\n",
      "       26567.49971519, 26566.72746125, 26565.95527571, 26565.18315857,\n",
      "       26564.41110982, 26563.63912945, 26562.86721744, 26562.09537378,\n",
      "       26561.32359847, 26560.5518915 , 26559.78025285, 26559.00868252,\n",
      "       26558.23718049, 26557.46574676, 26556.69438131, 26555.92308414,\n",
      "       26555.15185523, 26554.38069458, 26553.60960217, 26552.838578  ,\n",
      "       26552.06762205, 26551.29673432, 26550.52591479, 26549.75516345,\n",
      "       26548.98448031, 26548.21386533, 26547.44331852, 26546.67283986,\n",
      "       26545.90242935, 26545.13208697, 26544.36181272, 26543.59160658,\n",
      "       26542.82146854, 26542.0513986 , 26541.28139674, 26540.51146296,\n",
      "       26539.74159723, 26538.97179957, 26538.20206995, 26537.43240836,\n",
      "       26536.66281479, 26535.8932794 , 26535.12381201, 26534.35441262,\n",
      "       26533.58508121, 26532.81581778, 26532.04662231, 26531.27749479,\n",
      "       26530.50843523, 26529.7394436 , 26528.97051989, 26528.2016641 ,\n",
      "       26527.43287622, 26526.66415623, 26525.89550412, 26525.1269199 ,\n",
      "       26524.35840353, 26523.58995503, 26522.82157436, 26522.05326154,\n",
      "       26521.28501654, 26520.51683935, 26519.74872998, 26518.98068839,\n",
      "       26518.21271459, 26517.44480857, 26516.67697032, 26515.90919981,\n",
      "       26515.14149706, 26514.37386204, 26513.60629475, 26512.83879517,\n",
      "       26512.0713633 , 26511.30399913, 26510.53670264, 26509.76947383,\n",
      "       26509.00231268, 26508.23521919, 26507.46819335, 26506.70123514,\n",
      "       26505.93434456, 26505.16752159, 26504.40076623, 26503.63407847,\n",
      "       26502.8674583 , 26502.1009057 , 26501.33442067, 26500.5680032 ,\n",
      "       26499.80165327, 26499.03537088, 26498.26915602, 26497.50300867,\n",
      "       26496.73692883, 26495.97091649, 26495.20497164, 26494.43909426,\n",
      "       26493.67328435, 26492.9075419 , 26492.1418669 , 26491.37625933,\n",
      "       26490.6107192 , 26489.84524648, 26489.07984117, 26488.31450326,\n",
      "       26487.54923273, 26486.78402958, 26486.01889381, 26485.25382539,\n",
      "       26484.48882432, 26483.7238906 , 26482.95902419, 26482.19422511,\n",
      "       26481.42949334, 26480.66482887, 26479.90023169, 26479.13570178,\n",
      "       26478.37123915, 26477.60684378, 26476.84251566, 26476.07825477,\n",
      "       26475.31406112, 26474.54993469, 26473.78587547, 26473.02188345,\n",
      "       26472.25795862, 26471.49410098, 26470.7303105 , 26469.96658719,\n",
      "       26469.20293103, 26468.439342  , 26467.67582012, 26466.91236535,\n",
      "       26466.1489777 , 26465.38565715, 26464.62240369, 26463.85921731,\n",
      "       26463.09609801, 26462.33304577, 26461.57006058, 26460.80714244,\n",
      "       26460.04429133, 26459.28150725, 26458.51879018, 26457.75614011,\n",
      "       26456.99355704, 26456.23104095, 26455.46859184, 26454.70620969,\n",
      "       26453.9438945 , 26453.18164625, 26452.41946494, 26451.65735056,\n",
      "       26450.89530309, 26450.13332253, 26449.37140886, 26448.60956208,\n",
      "       26447.84778218, 26447.08606915, 26446.32442297, 26445.56284364,\n",
      "       26444.80133115, 26444.03988548, 26443.27850664, 26442.5171946 ,\n",
      "       26441.75594936, 26440.99477091, 26440.23365924, 26439.47261434,\n",
      "       26438.7116362 , 26437.95072481, 26437.18988015, 26436.42910223,\n",
      "       26435.66839103, 26434.90774654, 26434.14716875, 26433.38665766,\n",
      "       26432.62621324, 26431.8658355 , 26431.10552442, 26430.34527999,\n",
      "       26429.5851022 , 26428.82499105, 26428.06494652, 26427.3049686 ,\n",
      "       26426.54505729, 26425.78521257, 26425.02543444, 26424.26572288,\n",
      "       26423.50607788, 26422.74649944, 26421.98698755, 26421.22754219,\n",
      "       26420.46816336, 26419.70885104, 26418.94960523, 26418.19042592,\n",
      "       26417.43131309, 26416.67226675, 26415.91328686, 26415.15437344,\n",
      "       26414.39552647, 26413.63674593, 26412.87803182, 26412.11938414,\n",
      "       26411.36080286, 26410.60228798, 26409.84383949, 26409.08545738,\n",
      "       26408.32714165, 26407.56889227, 26406.81070925, 26406.05259257,\n",
      "       26405.29454222, 26404.53655819, 26403.77864048, 26403.02078906,\n",
      "       26402.26300395, 26401.50528511, 26400.74763255, 26399.99004626,\n",
      "       26399.23252621, 26398.47507242, 26397.71768486, 26396.96036352,\n",
      "       26396.2031084 , 26395.44591949, 26394.68879678, 26393.93174025,\n",
      "       26393.1747499 , 26392.41782572, 26391.66096769, 26390.90417582,\n",
      "       26390.14745008, 26389.39079047, 26388.63419699, 26387.87766961,\n",
      "       26387.12120834, 26386.36481315, 26385.60848405, 26384.85222101,\n",
      "       26384.09602404]), 'OOP Premirror': array([24677.91938475, 24677.29642586, 24676.67352243, 24676.05067444,\n",
      "       24675.42788188, 24674.80514476, 24674.18246306, 24673.55983678,\n",
      "       24672.93726589, 24672.3147504 , 24671.6922903 , 24671.06988558,\n",
      "       24670.44753624, 24669.82524225, 24669.20300362, 24668.58082034,\n",
      "       24667.9586924 , 24667.33661979, 24666.7146025 , 24666.09264052,\n",
      "       24665.47073385, 24664.84888248, 24664.2270864 , 24663.6053456 ,\n",
      "       24662.98366007, 24662.36202981, 24661.74045481, 24661.11893505,\n",
      "       24660.49747054, 24659.87606125, 24659.25470719, 24658.63340835,\n",
      "       24658.01216472, 24657.39097628, 24656.76984304, 24656.14876498,\n",
      "       24655.5277421 , 24654.90677438, 24654.28586182, 24653.66500441,\n",
      "       24653.04420214, 24652.42345501, 24651.80276301, 24651.18212612,\n",
      "       24650.56154434, 24649.94101767, 24649.32054609, 24648.70012959,\n",
      "       24648.07976817, 24647.45946182, 24646.83921054, 24646.2190143 ,\n",
      "       24645.59887311, 24644.97878696, 24644.35875583, 24643.73877973,\n",
      "       24643.11885863, 24642.49899254, 24641.87918145, 24641.25942534,\n",
      "       24640.63972422, 24640.02007807, 24639.40048687, 24638.78095064,\n",
      "       24638.16146935, 24637.542043  , 24636.92267158, 24636.30335509,\n",
      "       24635.68409351, 24635.06488683, 24634.44573506, 24633.82663817,\n",
      "       24633.20759617, 24632.58860904, 24631.96967678, 24631.35079937,\n",
      "       24630.73197682, 24630.1132091 , 24629.49449623, 24628.87583817,\n",
      "       24628.25723494, 24627.63868651, 24627.02019289, 24626.40175405,\n",
      "       24625.78337001, 24625.16504074, 24624.54676623, 24623.9285465 ,\n",
      "       24623.31038151, 24622.69227127, 24622.07421576, 24621.45621498,\n",
      "       24620.83826892, 24620.22037758, 24619.60254094, 24618.98475899,\n",
      "       24618.36703174, 24617.74935916, 24617.13174126, 24616.51417802,\n",
      "       24615.89666944, 24615.2792076 , 24614.66180041, 24614.04444785,\n",
      "       24613.42714991, 24612.8099066 , 24612.19271789, 24611.57558378,\n",
      "       24610.95850426, 24610.34147933, 24609.72450898, 24609.10759319,\n",
      "       24608.49073197, 24607.8739253 , 24607.25717317, 24606.64047558,\n",
      "       24606.02383252, 24605.40724398, 24604.79070995, 24604.17827434,\n",
      "       24603.56623442, 24602.9542486 , 24602.34231688, 24601.73043924,\n",
      "       24601.11861568, 24600.50684618, 24599.89513075, 24599.28346938,\n",
      "       24598.67186205, 24598.06030875, 24597.44880949, 24596.83736425,\n",
      "       24596.22597302, 24595.6146358 , 24595.00335258, 24594.39212334,\n",
      "       24593.7809481 , 24593.16982682, 24592.5587595 , 24591.94774615,\n",
      "       24591.33678675, 24590.72588129, 24590.11502977, 24589.50423217,\n",
      "       24588.89348849, 24588.28279872, 24587.67216285, 24587.06158088,\n",
      "       24586.4510528 , 24585.84057859, 24585.23015826, 24584.61979179,\n",
      "       24584.00947917, 24583.3992204 , 24582.78901547, 24582.17886437,\n",
      "       24581.5687671 , 24580.95872364, 24580.34873399, 24579.73879814,\n",
      "       24579.12891608, 24578.5190878 , 24577.9093133 , 24577.29959257,\n",
      "       24576.6899256 , 24576.08031238, 24575.47075291, 24574.86124717,\n",
      "       24574.25179517, 24573.64239688, 24573.0330523 , 24572.42376143,\n",
      "       24571.81452426, 24571.20534078, 24570.59621098, 24569.98713485,\n",
      "       24569.37811239, 24568.76914359, 24568.16022843, 24567.55136692,\n",
      "       24566.94255904, 24566.33380479, 24565.72510416, 24565.11645713,\n",
      "       24564.50786371, 24563.89932389, 24563.29083765, 24562.68240499,\n",
      "       24562.0740259 , 24561.46570038, 24560.85742841, 24560.24920999,\n",
      "       24559.64104511, 24559.03293376, 24558.42487593, 24557.81687163,\n",
      "       24557.20892082, 24556.60102352, 24555.99317972, 24555.38538939,\n",
      "       24554.77765255, 24554.16996917, 24553.56233926, 24552.9547628 ,\n",
      "       24552.34723978, 24551.7397702 , 24551.13235406, 24550.52499133,\n",
      "       24549.91768202, 24549.31042611, 24548.70322361, 24548.09607449,\n",
      "       24547.48897876, 24546.88193641, 24546.27494742, 24545.66801179,\n",
      "       24545.06112951, 24544.45430058, 24543.84752498, 24543.24080271,\n",
      "       24542.63413376, 24542.02751813, 24541.4209558 , 24540.81444677,\n",
      "       24540.20799102, 24539.60158856, 24538.99523937, 24538.38894345,\n",
      "       24537.78270078, 24537.17651137, 24536.5703752 , 24535.96429226,\n",
      "       24535.35826255, 24534.75228606, 24534.14636278, 24533.54049271,\n",
      "       24532.93467583, 24532.32891213, 24531.72320162, 24531.11754428,\n",
      "       24530.51194011, 24529.90638909, 24529.30089123, 24528.6954465 ,\n",
      "       24528.09005491, 24527.48471644, 24526.87943109, 24526.27419885,\n",
      "       24525.66901972, 24525.06389368, 24524.45882072, 24523.85380085,\n",
      "       24523.24883404, 24522.6439203 , 24522.03905962, 24521.43425199,\n",
      "       24520.82949739, 24520.22479583, 24519.62014729, 24519.01555177,\n",
      "       24518.41100927, 24517.80651976, 24517.20208324, 24516.59769972,\n",
      "       24515.99336917, 24515.38909159, 24514.78486697, 24514.18069531,\n",
      "       24513.5765766 , 24512.97251083, 24512.36849799, 24511.76453807,\n",
      "       24511.16063107, 24510.55677699, 24509.9529758 , 24509.3492275 ,\n",
      "       24508.74553209, 24508.14188956, 24507.5382999 , 24506.9347631 ,\n",
      "       24506.33127916, 24505.72784806, 24505.12446981, 24504.52114438,\n",
      "       24503.91787178, 24503.314652  , 24502.71148503, 24502.10837085,\n",
      "       24501.50530947, 24500.90230088, 24500.29934506, 24499.69644201,\n",
      "       24499.09359173, 24498.4907942 , 24497.88804942, 24497.28535737,\n",
      "       24496.68271806, 24496.08013148, 24495.47759761, 24494.87511644,\n",
      "       24494.27268798]), 'OOP Jack': array([-943.42371898, -943.42698523, -943.43025109, -943.43351656,\n",
      "       -943.43678165, -943.44004635, -943.44331066, -943.44657458,\n",
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      "       -943.4628884 , -943.46615001, -943.46941123, -943.47267206,\n",
      "       -943.4759325 , -943.47919256, -943.48245223, -943.48571152,\n",
      "       -943.48897042, -943.49222893, -943.49548706, -943.4987448 ,\n",
      "       -943.50200216, -943.50525913, -943.50851571, -943.51177191,\n",
      "       -943.51502772, -943.51828315, -943.52153819, -943.52479285,\n",
      "       -943.52804712, -943.53130101, -943.53455451, -943.53780762,\n",
      "       -943.54106035, -943.5443127 , -943.54756466, -943.55081624,\n",
      "       -943.55406743, -943.55731823, -943.56056866, -943.56381869,\n",
      "       -943.56706835, -943.57031761, -943.5735665 , -943.576815  ,\n",
      "       -943.58006311, -943.58331084, -943.58655819, -943.58980515,\n",
      "       -943.59305173, -943.59629793, -943.59954374, -943.60278917,\n",
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      "       -943.61901055, -943.62225368, -943.62549642, -943.62873878,\n",
      "       -943.63198076, -943.63522236, -943.63846357, -943.64170439,\n",
      "       -943.64494484, -943.6481849 , -943.65142458, -943.65466388,\n",
      "       -943.65790279, -943.66114133, -943.66437947, -943.66761724,\n",
      "       -943.67085463, -943.67409163, -943.67732825, -943.68056449,\n",
      "       -943.68380034, -943.68703582, -943.69027091, -943.69350562,\n",
      "       -943.69673995, -943.6999739 , -943.70320746, -943.70644064,\n",
      "       -943.70967345, -943.71290587, -943.71613791, -943.71936956,\n",
      "       -943.72260084, -943.72583174, -943.72906225, -943.73229239,\n",
      "       -943.73552214, -943.73875151, -943.7419805 , -943.74520911,\n",
      "       -943.74843734, -943.75166523, -943.75489274, -943.75811987,\n",
      "       -943.76134662, -943.76457298, -943.76779897, -943.77102458,\n",
      "       -943.77424981, -943.77747465, -943.78069912, -943.78392321,\n",
      "       -943.78714691, -943.79037024, -943.79359319, -943.79681576,\n",
      "       -943.80003795, -943.80325975, -943.80648118, -943.80970223,\n",
      "       -943.8129229 , -943.81614319, -943.81936311, -943.82258264,\n",
      "       -943.82580179, -943.82902057, -943.83223896, -943.83545698,\n",
      "       -943.83867462, -943.84189188, -943.84510876, -943.84832526,\n",
      "       -943.85154138, -943.85475713, -943.85797249, -943.86118748,\n",
      "       -943.86440209, -943.86761632, -943.87083017, -943.87404365,\n",
      "       -943.87725675, -943.88046946, -943.88368181, -943.88689377,\n",
      "       -943.89010535, -943.89331656, -943.89652739, -943.89973785,\n",
      "       -943.90294792, -943.90615762, -943.90936694, -943.91257588,\n",
      "       -943.91578445, -943.91899264, -943.92220045, -943.92540788,\n",
      "       -943.92861494, -943.93182162, -943.93502792, -943.93823385,\n",
      "       -943.9414394 , -943.94464458, -943.94784937, -943.95105379,\n",
      "       -943.95425784, -943.9574615 , -943.9606648 , -943.96386771,\n",
      "       -943.96707025, -943.97027241, -943.9734742 , -943.97667561,\n",
      "       -943.97987665, -943.98307731, -943.98627759, -943.9894775 ,\n",
      "       -943.99267703, -943.99587619, -943.99907497, -944.00227337,\n",
      "       -944.0054714 , -944.00866906, -944.01186634, -944.01506324,\n",
      "       -944.01825977, -944.02145593, -944.02465171, -944.02784711,\n",
      "       -944.03104214, -944.03423679, -944.03743107, -944.04062498,\n",
      "       -944.04381851, -944.04701167, -944.05020445, -944.05339686,\n",
      "       -944.05658889, -944.05978055, -944.06297183, -944.06616274,\n",
      "       -944.06935328, -944.07254344, -944.07573323, -944.07892265,\n",
      "       -944.08211169, -944.08530035, -944.08848865, -944.09167657,\n",
      "       -944.09486411, -944.09805129, -944.10123809, -944.10442451,\n",
      "       -944.10761057, -944.11079625, -944.11398155, -944.11716649,\n",
      "       -944.12035105, -944.12353523, -944.12671905, -944.12990249,\n",
      "       -944.13308556, -944.13626826, -944.13945058, -944.14263253,\n",
      "       -944.14581411, -944.14899532, -944.15217615, -944.15535661,\n",
      "       -944.1585367 , -944.16171642, -944.16489576, -944.16807474,\n",
      "       -944.17125334, -944.17443157, -944.17760943, -944.18078691,\n",
      "       -944.18396403, -944.18714077, -944.19031714, -944.19349314,\n",
      "       -944.19666877, -944.19984402, -944.20301891, -944.20619342,\n",
      "       -944.20936757, -944.21254134, -944.21571474, -944.21888777,\n",
      "       -944.22206043, -944.22523271, -944.22840463, -944.23157618,\n",
      "       -944.23474735, -944.23791816, -944.24108859, -944.24425866,\n",
      "       -944.24742835, -944.25059768, -944.25376663, -944.25693521,\n",
      "       -944.26010342, -944.26327127, -944.26643874, -944.26960584,\n",
      "       -944.27277258, -944.27593894, -944.27910493, -944.28227056,\n",
      "       -944.28543581, -944.28860069, -944.29176521, -944.29492935,\n",
      "       -944.29809313, -944.30125654, -944.30441958, -944.30758224,\n",
      "       -944.31074454, -944.31390647, -944.31706804, -944.32022923,\n",
      "       -944.32339005, -944.32655051, -944.32971059, -944.33287031,\n",
      "       -944.33602966, -944.33918864, -944.34234725, -944.3455055 ,\n",
      "       -944.34866337, -944.35182088, -944.35497802, -944.35813479,\n",
      "       -944.36129119, -944.36444722, -944.36760289, -944.37075819,\n",
      "       -944.37391312, -944.37706768, -944.38022188, -944.38337571,\n",
      "       -944.38652917]), 'OOP Energy Error': array([-0.10459206, -0.09703239, -0.09701554, -0.10361223, -0.1009305 ,\n",
      "       -0.10929089, -0.10524889, -0.10875354, -0.10824519, -0.1011109 ,\n",
      "       -0.10325088, -0.09475374, -0.09823692, -0.09593265, -0.09231694,\n",
      "       -0.10507179, -0.10853921, -0.10355772, -0.09992374, -0.10113863,\n",
      "       -0.10192885, -0.10845636, -0.1003691 , -0.11221079, -0.11032327,\n",
      "       -0.10973871, -0.10784173, -0.10369865, -0.10090445, -0.09763854,\n",
      "       -0.09660955, -0.09954747, -0.09939735, -0.10190621, -0.10838351,\n",
      "       -0.10555696, -0.1093627 , -0.09498114, -0.10368607, -0.10392628,\n",
      "       -0.09308039, -0.09022416, -0.1073321 , -0.10446792, -0.09893271,\n",
      "       -0.10536732, -0.1131547 , -0.11116124, -0.11314027, -0.11113759,\n",
      "       -0.10290611, -0.10398248, -0.11263659, -0.10705794, -0.10723219,\n",
      "       -0.10342218, -0.10494476, -0.10557347, -0.09060336, -0.09567155,\n",
      "       -0.10696566, -0.10668703, -0.11441457, -0.10742852, -0.11158774,\n",
      "       -0.10416917, -0.10386801, -0.10534335, -0.10011217, -0.10870372,\n",
      "       -0.10036864, -0.1062805 , -0.10238927, -0.09849285, -0.11016148,\n",
      "       -0.10892965, -0.09967238, -0.10110437, -0.10788029, -0.1039558 ,\n",
      "       -0.11161574, -0.10500734, -0.10820159, -0.08909784, -0.10162397,\n",
      "       -0.11283255, -0.10530726, -0.10580465, -0.11165047, -0.10767863,\n",
      "       -0.11708581, -0.11488968, -0.10733409, -0.11048293, -0.10737971,\n",
      "       -0.10427147, -0.10205101, -0.10071858, -0.11634698, -0.1105419 ,\n",
      "       -0.10473124, -0.10248772, -0.11989041, -0.10424015, -0.11406722,\n",
      "       -0.10465911, -0.10864801, -0.09654775, -0.10052793, -0.10897324,\n",
      "       -0.1093708 , -0.10618827, -0.10300072, -0.11232555, -0.11407027,\n",
      "       -0.11495183, -0.11121904, -0.11739029, -0.11815276, -0.11800998,\n",
      "       -0.11382151, -0.12358192, -0.11531547, -0.11154948, -0.11408814,\n",
      "       -0.10580511, -0.10609454, -0.10411194, -0.11024014, -0.11546308,\n",
      "       -0.11663766, -0.12365696, -0.12345708, -0.12144861, -0.11448696,\n",
      "       -0.12239319, -0.11946853, -0.11880847, -0.1167766 , -0.11744766,\n",
      "       -0.11540648, -0.11563091, -0.11809444, -0.12055396, -0.12257157,\n",
      "       -0.13315009, -0.12205195, -0.11863784, -0.11836661, -0.12307294,\n",
      "       -0.13002053, -0.12431608, -0.12810728, -0.12510377, -0.13565111,\n",
      "       -0.12948933, -0.12556806, -0.12933898, -0.13083244, -0.12193789,\n",
      "       -0.12884745, -0.13893211, -0.12774849, -0.12198485, -0.12934507,\n",
      "       -0.12628562, -0.13001992, -0.13237971, -0.13067739, -0.13483863,\n",
      "       -0.14217709, -0.1399959 , -0.14642207, -0.13155925, -0.13888249,\n",
      "       -0.13171666, -0.13403881, -0.13501227, -0.12645881, -0.13376295,\n",
      "       -0.13063381, -0.13793069, -0.14069474, -0.13574024, -0.13940188,\n",
      "       -0.14078071, -0.13809097, -0.13992793, -0.13676199, -0.1367774 ,\n",
      "       -0.15401256, -0.14992739, -0.14721074, -0.14902302, -0.14310935,\n",
      "       -0.14491282, -0.13945604, -0.14078353, -0.14166691, -0.1488968 ,\n",
      "       -0.15474874, -0.14836126, -0.1437831 , -0.14736785, -0.15048129,\n",
      "       -0.14861213, -0.14764603, -0.15303048, -0.15612787, -0.14970088,\n",
      "       -0.1559818 , -0.15862665, -0.15127681, -0.15707845, -0.14790148,\n",
      "       -0.15052906, -0.15406127, -0.14759438, -0.15519384, -0.16053174,\n",
      "       -0.1631395 , -0.15574484, -0.15925294, -0.15730255, -0.14716437,\n",
      "       -0.15291915, -0.17459739, -0.15807959, -0.16065387, -0.15867624,\n",
      "       -0.15214539, -0.16107504, -0.16272308, -0.1607274 , -0.16236693,\n",
      "       -0.15399151, -0.1601728 , -0.17272204, -0.17343531, -0.17505465,\n",
      "       -0.16847604, -0.16870698, -0.17486614, -0.16371918, -0.1694287 ,\n",
      "       -0.16646806, -0.16076965, -0.17237507, -0.16848971, -0.18191096,\n",
      "       -0.16981613, -0.16591634, -0.17841651, -0.17359669, -0.17332931,\n",
      "       -0.17670396, -0.16913441, -0.17067701, -0.17221548, -0.171014  ,\n",
      "       -0.18122188, -0.17636391, -0.17058844, -0.16389515, -0.16358285,\n",
      "       -0.17877741, -0.16933263, -0.17951602, -0.17371158, -0.18067994,\n",
      "       -0.17851709, -0.18639106, -0.18330667, -0.17794854, -0.18672451,\n",
      "       -0.18271303, -0.18874231, -0.18519207, -0.18025281, -0.1917513 ,\n",
      "       -0.18588956, -0.18780223, -0.18832644, -0.18244965, -0.19210365,\n",
      "       -0.19125814, -0.18628106, -0.1867835 , -0.18911006, -0.18916077,\n",
      "       -0.17776348, -0.18190578, -0.18194275, -0.17693101, -0.19112286,\n",
      "       -0.1819998 , -0.18795205, -0.18932625, -0.18933766, -0.1934487 ,\n",
      "       -0.19253658]), 'OOP Grating Error': array([-5.18000e-04, -4.14113e-03,  2.16672e-03, -1.59443e-03,\n",
      "        4.57542e-03,  6.76290e-04, -3.29182e-03,  2.67110e-03,\n",
      "       -1.43492e-03,  4.39010e-03,  1.46200e-04, -4.16663e-03,\n",
      "        1.45162e-03, -2.99903e-03,  2.48143e-03, -2.10700e-03,\n",
      "        3.23570e-03, -1.49045e-03,  3.71453e-03, -1.14932e-03,\n",
      "        3.91799e-03, -1.08352e-03,  3.84616e-03, -1.29296e-03,\n",
      "        3.49912e-03, -1.77757e-03,  2.87696e-03, -2.53727e-03,\n",
      "        1.97975e-03, -3.57197e-03,  8.07590e-04, -4.88158e-03,\n",
      "       -6.39470e-04,  3.53395e-03, -2.36131e-03,  1.67474e-03,\n",
      "       -4.35788e-03, -4.59160e-04,  3.37092e-03, -2.86765e-03,\n",
      "        8.25150e-04,  4.44934e-03, -1.99508e-03,  1.49190e-03,\n",
      "        4.91029e-03, -1.73989e-03,  1.54135e-03,  4.75404e-03,\n",
      "       -2.10182e-03,  9.73780e-04,  3.98085e-03, -3.08059e-03,\n",
      "       -2.10540e-04,  2.59101e-03, -4.67592e-03, -2.01133e-03,\n",
      "        5.84790e-04,  3.11246e-03, -4.42833e-03, -2.03754e-03,\n",
      "        2.84810e-04,  2.53875e-03,  4.72429e-03, -3.15857e-03,\n",
      "       -1.10982e-03,  8.70550e-04,  2.78256e-03,  4.62622e-03,\n",
      "       -3.59847e-03, -1.89150e-03, -2.52850e-04,  1.31748e-03,\n",
      "        2.81951e-03,  4.25324e-03, -4.38131e-03, -3.08414e-03,\n",
      "       -1.85523e-03, -6.94580e-04,  3.97830e-04,  1.42200e-03,\n",
      "        2.37795e-03,  3.26568e-03,  4.08521e-03,  4.83655e-03,\n",
      "       -4.48031e-03, -3.86533e-03, -3.31852e-03, -2.83986e-03,\n",
      "       -2.42935e-03, -2.08697e-03, -1.81272e-03, -1.60658e-03,\n",
      "       -1.46854e-03, -1.39860e-03, -1.39674e-03, -1.46296e-03,\n",
      "       -1.59723e-03, -1.79957e-03, -2.06995e-03, -2.40836e-03,\n",
      "       -2.81479e-03, -3.27940e-03, -3.81201e-03, -4.41262e-03,\n",
      "        4.91879e-03,  4.18222e-03,  3.37769e-03,  2.50521e-03,\n",
      "        1.56477e-03,  5.56400e-04, -5.19890e-04, -1.66410e-03,\n",
      "       -2.87622e-03, -4.15623e-03,  4.49588e-03,  3.08010e-03,\n",
      "        1.59647e-03,  4.49700e-05, -1.57436e-03, -3.26154e-03,\n",
      "        4.98346e-03,  3.16065e-03,  1.27002e-03, -6.88390e-04,\n",
      "       -2.71459e-03, -4.80857e-03,  3.02968e-03,  8.00190e-04,\n",
      "       -1.49706e-03, -3.86204e-03,  3.70525e-03,  1.20483e-03,\n",
      "       -1.36330e-03, -3.99913e-03,  3.29736e-03,  5.26170e-04,\n",
      "       -2.31268e-03,  4.78081e-03,  1.80665e-03, -1.23514e-03,\n",
      "       -4.34456e-03,  2.47841e-03, -7.66230e-04, -4.07847e-03,\n",
      "        2.54170e-03, -9.05700e-04, -4.42067e-03,  1.99680e-03,\n",
      "       -1.65327e-03,  4.62912e-03,  8.43980e-04, -3.00867e-03,\n",
      "        3.07117e-03, -9.16490e-04, -4.97164e-03,  9.05740e-04,\n",
      "       -3.28435e-03,  2.45810e-03, -1.86690e-03,  3.74067e-03,\n",
      "       -7.19200e-04,  4.75352e-03,  1.58830e-04, -4.50326e-03,\n",
      "        7.67270e-04, -4.02958e-03,  1.10619e-03, -3.82539e-03,\n",
      "        1.17568e-03, -3.89060e-03,  9.75810e-04, -4.22511e-03,\n",
      "        5.06660e-04, -4.82887e-03, -2.31690e-04,  4.29822e-03,\n",
      "       -1.23915e-03,  3.15622e-03, -2.51566e-03,  1.74523e-03,\n",
      "       -4.06112e-03,  6.53100e-05,  4.12453e-03, -1.88345e-03,\n",
      "        2.04138e-03, -4.10098e-03, -3.10500e-04,  3.41281e-03,\n",
      "       -2.93103e-03,  6.58000e-04,  4.17988e-03, -2.36535e-03,\n",
      "        1.02230e-03,  4.34285e-03, -2.40369e-03,  7.82690e-04,\n",
      "        3.90199e-03, -3.04577e-03, -6.05800e-05,  2.85756e-03,\n",
      "       -4.29133e-03, -1.50725e-03,  1.20982e-03,  3.85989e-03,\n",
      "       -3.55704e-03, -1.04095e-03,  1.40816e-03,  3.79031e-03,\n",
      "       -3.89450e-03, -1.64625e-03,  5.35060e-04,  2.64944e-03,\n",
      "        4.69691e-03, -3.32253e-03, -1.40886e-03,  4.37920e-04,\n",
      "        2.21782e-03,  3.93085e-03, -4.42297e-03, -2.84364e-03,\n",
      "       -1.33115e-03,  1.14520e-04,  1.49336e-03,  2.80540e-03,\n",
      "        4.05064e-03, -4.77091e-03, -3.65924e-03, -2.61434e-03,\n",
      "       -1.63620e-03, -7.24810e-04,  1.19850e-04,  8.97770e-04,\n",
      "        1.60897e-03,  2.25346e-03,  2.83125e-03,  3.34234e-03,\n",
      "        3.78676e-03,  4.16450e-03,  4.47558e-03,  4.72001e-03,\n",
      "        4.89780e-03, -4.99105e-03, -4.94652e-03, -4.96860e-03,\n",
      "        4.94271e-03,  4.78743e-03,  4.56556e-03,  4.27712e-03,\n",
      "        3.92212e-03,  3.50056e-03,  3.01245e-03,  2.45781e-03,\n",
      "        1.83664e-03,  1.14896e-03,  3.94770e-04, -4.25920e-04,\n",
      "       -1.31309e-03, -2.26675e-03, -3.28686e-03, -4.37344e-03,\n",
      "        4.47353e-03,  3.25407e-03,  1.96818e-03,  6.15860e-04,\n",
      "       -8.02860e-04, -2.28798e-03, -3.83949e-03,  4.54262e-03,\n",
      "        2.85835e-03,  1.10773e-03, -7.09250e-04, -2.59257e-03,\n",
      "       -4.54222e-03,  3.44181e-03,  1.35952e-03, -7.89060e-04,\n",
      "       -3.00395e-03,  4.71489e-03,  2.36745e-03, -4.62600e-05,\n",
      "       -2.52621e-03,  4.92758e-03,  2.31514e-03, -3.63520e-04,\n",
      "       -3.10840e-03,  4.08051e-03,  1.20322e-03, -1.74025e-03,\n",
      "       -4.74990e-03,  2.17428e-03, -9.67690e-04, -4.17582e-03,\n",
      "        2.54992e-03, -7.90470e-04, -4.19699e-03,  2.33039e-03,\n",
      "       -1.20834e-03, -4.81315e-03,  1.51595e-03, -2.22101e-03,\n",
      "        3.97596e-03]), 'OOP Premirror Error': array([-0.51938475, -0.43642586, -0.42352243, -0.50067444, -0.45788188,\n",
      "       -0.55514476, -0.51246306, -0.53983678, -0.53726589, -0.4447504 ,\n",
      "       -0.4722903 , -0.37988558, -0.40753624, -0.38524225, -0.33300362,\n",
      "       -0.48082034, -0.5086924 , -0.45661979, -0.4046025 , -0.42264052,\n",
      "       -0.42073385, -0.49888248, -0.3970864 , -0.5353456 , -0.50366007,\n",
      "       -0.50202981, -0.47045481, -0.42893505, -0.38747054, -0.35606125,\n",
      "       -0.33470719, -0.37340835, -0.36216472, -0.38097628, -0.45984304,\n",
      "       -0.41876498, -0.4677421 , -0.29677438, -0.38586182, -0.39500441,\n",
      "       -0.26420214, -0.22345501, -0.42276301, -0.38212612, -0.31154434,\n",
      "       -0.39101767, -0.47054609, -0.44012959, -0.46976817, -0.43946182,\n",
      "       -0.33921054, -0.3590143 , -0.44887311, -0.37878696, -0.38875583,\n",
      "       -0.33877973, -0.34885863, -0.34899254, -0.18918145, -0.23942534,\n",
      "       -0.35972422, -0.35007807, -0.43048687, -0.36095064, -0.40146935,\n",
      "       -0.312043  , -0.30267158, -0.31335509, -0.26409351, -0.35488683,\n",
      "       -0.25573506, -0.31663817, -0.26759617, -0.21860904, -0.35967678,\n",
      "       -0.34079937, -0.23197682, -0.2432091 , -0.31449623, -0.26583817,\n",
      "       -0.34723494, -0.26868651, -0.30019289, -0.08175405, -0.23337001,\n",
      "       -0.35504074, -0.26676623, -0.2685465 , -0.33038151, -0.28227127,\n",
      "       -0.38421576, -0.35621498, -0.26826892, -0.30037758, -0.26254094,\n",
      "       -0.22475899, -0.19703174, -0.17935916, -0.35174126, -0.28417802,\n",
      "       -0.21666944, -0.1892076 , -0.38180041, -0.20444785, -0.29714991,\n",
      "       -0.1899066 , -0.23271789, -0.09558378, -0.13850426, -0.23147933,\n",
      "       -0.23450898, -0.19759319, -0.16073197, -0.2639253 , -0.26717317,\n",
      "       -0.28047558, -0.23383252, -0.29724398, -0.30070995, -0.29827434,\n",
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      "       -0.25031238, -0.28075291, -0.31124717, -0.28179517, -0.33239688,\n",
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      "       -0.46742841, -0.42920999, -0.39104511, -0.40293376, -0.34487593,\n",
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      "       -0.33049271, -0.39467583, -0.52891213, -0.53320162, -0.54754428,\n",
      "       -0.47194011, -0.48638909, -0.55089123, -0.4254465 , -0.47005491,\n",
      "       -0.43471644, -0.36943109, -0.49419885, -0.44901972, -0.59389368,\n",
      "       -0.45882072, -0.41380085, -0.54883404, -0.4939203 , -0.48905962,\n",
      "       -0.52425199, -0.43949739, -0.45479583, -0.47014729, -0.45555177,\n",
      "       -0.55100927, -0.49651976, -0.43208324, -0.35769972, -0.35336917,\n",
      "       -0.51909159, -0.41486697, -0.51069531, -0.4465766 , -0.52251083,\n",
      "       -0.49849799, -0.58453807, -0.55063107, -0.47677699, -0.5729758 ,\n",
      "       -0.5292275 , -0.59553209, -0.54188956, -0.4882999 , -0.6147631 ,\n",
      "       -0.55127916, -0.55784806, -0.56446981, -0.50114438, -0.60787178,\n",
      "       -0.584652  , -0.53148503, -0.53837085, -0.56530947, -0.55230088,\n",
      "       -0.42934506, -0.47644201, -0.46359173, -0.4107942 , -0.56804942,\n",
      "       -0.45535737, -0.52271806, -0.54013148, -0.52759761, -0.57511644,\n",
      "       -0.55268798]), 'Goal Premirror Error': array([-0.59250467, -0.50918989, -0.50386633, -0.58055155, -0.54522799,\n",
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      "       -0.6014923 , -0.49616873, -0.51084517, -0.58552161, -0.54019805,\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.])}, 'timestamps': {'Time (s)': 1634953367.0, 'Beamline Energy': 1634953367.0, 'I0 BL': 1634953367.0, 'I0 ES': 1634953367.0, 'EY': 1634953367.0, 'LY': 1634953367.0, 'FY': 1634953367.0, 'EY SCVM': 1634953367.0, 'LY SCVM': 1634953367.0, 'Clock': 1634953367.0, 'Original Clock': 1634953367.0, 'Captured Mono Energy': 1634953367.0, 'Energy': 1634953367.0, 'Polarization': 1634953367.0, 'Beam Current': 1634953367.0, 'Temp A': 1634953367.0, 'Temp B': 1634953367.0, 'Temp HT': 1634953367.0, 'X': 1634953367.0, 'Y': 1634953367.0, 'Z': 1634953367.0, 'Theta': 1634953367.0, 'M206 Pitch': 1634953367.0, 'I0 BL Amp (nA)': 1634953367.0, 'I0 ES Amp (nA)': 1634953367.0, 'EY Amp (nA)': 1634953367.0, 'LY Amp (nA)': 1634953367.0, 'FY Amp (nA)': 1634953367.0, 'EY SCVM Amp (nA)': 1634953367.0, 'LY SCVM Amp (nA)': 1634953367.0, 'EPU Energy': 1634953367.0, 'EPU Gap': 1634953367.0, 'EPU Phase': 1634953367.0, 'EPU A': 1634953367.0, 'EPU B': 1634953367.0, 'EPU Harmonic': 1634953367.0, 'Mono Energy': 1634953367.0, 'Grating Posn': 1634953367.0, 'Grating Goal': 1634953367.0, 'Grating Error': 1634953367.0, 'Premirror Posn': 1634953367.0, 'Premirror Goal': 1634953367.0, 'Premirror Error': 1634953367.0, 'Premirror Stepper': 1634953367.0, 'Premirror Stepper div 2': 1634953367.0, 'Premirror Encoder': 1634953367.0, 'Grating Stepper': 1634953367.0, 'Grating Stepper div 2': 1634953367.0, 'Grating Encoder': 1634953367.0, 'Grating Posn Error': 1634953367.0, 'Premirror Posn Error': 1634953367.0, 'Jack Posn': 1634953367.0, 'Gate': 1634953367.0, 'Gate 2': 1634953367.0, 'EPU Gap from Delta Tau': 1634953367.0, 'EPU Set Vert Velocity': 1634953367.0, 'EPU Set Horiz Velocity': 1634953367.0, 'bl_input': 1634953367.0, 'bl_input_h': 1634953367.0, 'A Phase': 1634953367.0, 'B Phase': 1634953367.0, 'Captured Grating': 1634953367.0, 'Captured Premirror': 1634953367.0, 'Captured Jack': 1634953367.0, 'Captured EPU Gap': 1634953367.0, 'Goal Premirror': 1634953367.0, 'OOP Mono Energy': 1634953367.0, 'OOP Grating': 1634953367.0, 'OOP Premirror': 1634953367.0, 'OOP Jack': 1634953367.0, 'OOP Energy Error': 1634953367.0, 'OOP Grating Error': 1634953367.0, 'OOP Premirror Error': 1634953367.0, 'Goal Premirror Error': 1634953367.0, 'Entrance Slit Width': 1634953367.0, 'Exit Slit Width': 1634953367.0, 'LabVIEW Memory': 1634953367.0, 'EPU Gap in position': 1634953367.0, 'EPU Z in position': 1634953367.0, 'LY SCVM (Original)': 1634953367.0, 'C2 U2': 1634953367.0, 'C2 U3': 1634953367.0, 'C2 U4': 1634953367.0, 'C2 U5': 1634953367.0, 'C2 U6': 1634953367.0}, 'seq_num': 1, 'filled': {}, 'descriptor': 'd49cb590-bd68-47cc-98e7-3f3f461eebaf'}\n"
     ]
    }
   ],
   "source": [
    "# for doc_type, doc in fly_FlyBeamlineEnergy.collect():\n",
    "#     print(doc_type)\n",
    "#     print(doc)\n",
    "\n",
    "for event_reading in fly_FlyBeamlineEnergy.collect():\n",
    "    print(event_reading)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Run the Bluesky flying plan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "fly_FlyBeamlineEnergy = BcsSigFlyScanFlyer(\"BCS402:\", name=\"ssflyFlyBeamlineEnergy\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "fly_FlyBeamlineEnergy.scan_setup(\n",
    "        bcs_server=bl402bcs, \n",
    "        motor=\"Beamline Energy\", start=845., stop=860., step=0.05, velocity=0.,\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "BcsSigFlyScanFlyerTuple(motor_name='Beamline Energy', first_value=845.0, last_value=860.0, step_value=0.05, velocity=0.0, num_scans=1, bidirectional=False, final_move='Stay', memo='', filename_pattern='*.txt', ready=True, busy=False, done=True, execute_scan=True, data_path='', yield_array_events=True)"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fly_FlyBeamlineEnergy.get()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "Transient Scan ID: 1     Time: 2021-10-22 18:43:28\n",
      "Persistent Unique Scan ID: '9d1edbb1-2b2a-40af-bcde-9dfbcfd7ee04'\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:complete() starting\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ssflyFlyBeamlineEnergy_done [In progress. No progress bar available.]                                                  \n",
      "Scan is finshed!\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:complete() ending\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ssflyFlyBeamlineEnergy_done [In progress. No progress bar available.]                                                  \n",
      "                                                                                                                       \n",
      "New stream: 'primary'\n",
      "+-----------+------------+\n",
      "|   seq_num |       time |\n",
      "+-----------+------------+\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\admin\\miniconda3\\envs\\bluesky\\lib\\site-packages\\event_model\\__init__.py:208: UserWarning: The document type 'bulk_events' has been deprecated in favor of 'event_page', whose structure is a transpose of 'bulk_events'.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+-----------+------------+\n",
      "generator fly ['9d1edbb1'] (scan num: 1)\n",
      "\n",
      "\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:bluesky.RE.state:Change state on <bluesky.run_engine.RunEngine object at 0x00000183175CA760> from 'running' -> 'idle'\n",
      "INFO:bluesky:Cleaned up from plan <generator object fly at 0x00000183204AB270>\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "('9d1edbb1-2b2a-40af-bcde-9dfbcfd7ee04',)"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from bluesky.plans import fly\n",
    "\n",
    "RE(fly([fly_FlyBeamlineEnergy], md=dict(purpose=\"demo bluesky fly plan with BCS Single Motor Flying Scan\")))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "'C:\\\\Beamline Controls\\\\BCS Setup Data\\\\211022\\\\SigScan 000134.txt'"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fly_FlyBeamlineEnergy.busy.get()\n",
    "fly_FlyBeamlineEnergy.done.get()\n",
    "fly_FlyBeamlineEnergy.data_path.get()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x183202653a0>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "run = db.v2[-1]\n",
    "data = run.primary.read()\n",
    "data.plot.scatter(\"Captured Mono Energy\", \"I0 BL\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x1832035a730>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'Captured Mono Energy')"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'I0 BL')"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.scatter(\n",
    "    data[\"Captured Mono Energy\"], \n",
    "    data[\"I0 BL\"] / data[\"Clock\"],\n",
    "    );\n",
    "plt.xlabel(\"Captured Mono Energy\");\n",
    "plt.ylabel(\"I0 BL\");\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Which control layer is ophyd using"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "namespace(setup=<function ophyd._pyepics_shim.setup(logger)>,\n",
       "          caput=<function epics.caput(pvname, value, wait=False, timeout=60)>,\n",
       "          caget=<function epics.caget(pvname, as_string=False, count=None, as_numpy=True, use_monitor=False, timeout=5.0)>,\n",
       "          get_pv=<function epics.pv.get_pv(pvname, form='time', connect=False, context=None, timeout=5.0, connection_callback=None, access_callback=None, callback=None, verbose=False, count=None, auto_monitor=None)>,\n",
       "          thread_class=epics.ca.CAThread,\n",
       "          name='pyepics',\n",
       "          release_pvs=<function ophyd._pyepics_shim.release_pvs(*pvs)>,\n",
       "          get_dispatcher=<function ophyd._pyepics_shim.get_dispatcher()>)"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from ophyd import cl\n",
    "\n",
    "cl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}