{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "3b04b431",
   "metadata": {},
   "source": [
    "# Single transmon qubit characterization\n",
    "\n",
    ".. Note::\n",
    "        This notebook uses some python helper functions and example data. You can find both in a zipfile accessible with this link: [gitlab](https://gitlab.com/qblox/packages/software/qblox_instruments_docs/-/tree/master/docs/applications/quantify/example_data_and_utils.zip).\n",
    "\n",
    "The experiments of this tutorial are meant to be executed with a Qblox Cluster controlling a transmon system.\n",
    "\n",
    "The experiments can also be executed using a dummy Qblox device that is created via an instance of the `Cluster` class, and is initialized with a dummy configuration.\n",
    "\n",
    "However, when using a dummy device, the analysis will not work because the experiments will return `np.nan` values.\n",
    "\n",
    "When using this notebook together with a dummy device, example data is loaded from the `\"./example_data/\"` directory."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "c56871c7",
   "metadata": {},
   "source": [
    "## Setup\n",
    "In this section we configure the hardware configuration which specifies the connectivity of our system."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "6b808a69",
   "metadata": {},
   "source": [
    "### Configuration file\n",
    "\n",
    "This is a template hardware configuration file for a 1-qubit system with a flux-control line which can be used to tune the qubit frequency.\n",
    "\n",
    "The hardware setup is as follows, by cluster slot:\n",
    "1. **QCM-RF**\n",
    "    - Drive line for `qubit` using fixed 80 MHz IF.\n",
    "2. **QCM**\n",
    "    - Flux line for `qubit`.\n",
    "6. **QRM-RF**\n",
    "    - Readout line for `qubit` using a fixed LO set at 7.5 GHz.\n",
    "\n",
    "Note that in the hardware configuration below the mixers are uncorrected, but for high fidelity experiments this should also be done for all the modules."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "78e87485",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-11-07T18:29:55.362071Z",
     "iopub.status.busy": "2023-11-07T18:29:55.362071Z",
     "iopub.status.idle": "2023-11-07T18:29:55.385995Z",
     "shell.execute_reply": "2023-11-07T18:29:55.385478Z"
    }
   },
   "outputs": [],
   "source": [
    "hardware_cfg = {\n",
    "    \"backend\": \"quantify_scheduler.backends.qblox_backend.hardware_compile\",\n",
    "    \"cluster0\": {\n",
    "        \"sequence_to_file\": False,  # Boolean flag which dumps waveforms and program dict to JSON file\n",
    "        \"ref\": \"internal\",  # Use shared clock reference of the cluster\n",
    "        \"instrument_type\": \"Cluster\",\n",
    "        # ============ DRIVE ============#\n",
    "        \"cluster0_module1\": {\n",
    "            \"instrument_type\": \"QCM_RF\",\n",
    "            \"complex_output_0\": {\n",
    "                \"output_att\": 0,\n",
    "                \"dc_mixer_offset_I\": 0.0,\n",
    "                \"dc_mixer_offset_Q\": 0.0,\n",
    "                \"portclock_configs\": [\n",
    "                    {\n",
    "                        \"port\": \"qubit:mw\",\n",
    "                        \"clock\": \"qubit.01\",\n",
    "                        \"interm_freq\": 80e6,\n",
    "                        \"mixer_amp_ratio\": 1.0,\n",
    "                        \"mixer_phase_error_deg\": 0.0,\n",
    "                    }\n",
    "                ],\n",
    "            },\n",
    "        },\n",
    "        # ============ FLUX ============#\n",
    "        \"cluster0_module2\": {\n",
    "            \"instrument_type\": \"QCM\",\n",
    "            \"real_output_0\": {\"portclock_configs\": [{\"port\": \"qubit:fl\", \"clock\": \"cl0.baseband\"}]},\n",
    "        },\n",
    "        # ============ READOUT ============#\n",
    "        \"cluster0_module3\": {\n",
    "            \"instrument_type\": \"QRM_RF\",\n",
    "            \"complex_output_0\": {\n",
    "                \"output_att\": 0,\n",
    "                \"input_att\": 0,\n",
    "                \"dc_mixer_offset_I\": 0.0,\n",
    "                \"dc_mixer_offset_Q\": 0.0,\n",
    "                \"lo_freq\": 7.5e9,\n",
    "                \"portclock_configs\": [\n",
    "                    {\n",
    "                        \"port\": \"qubit:res\",\n",
    "                        \"clock\": \"qubit.ro\",\n",
    "                        \"mixer_amp_ratio\": 1.0,\n",
    "                        \"mixer_phase_error_deg\": 0.0,\n",
    "                    }\n",
    "                ],\n",
    "            },\n",
    "        },\n",
    "    },\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "7d26c461",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-11-07T18:29:55.389983Z",
     "iopub.status.busy": "2023-11-07T18:29:55.389983Z",
     "iopub.status.idle": "2023-11-07T18:29:58.965111Z",
     "shell.execute_reply": "2023-11-07T18:29:58.964049Z"
    }
   },
   "outputs": [],
   "source": [
    "import contextlib\n",
    "import warnings\n",
    "from pathlib import Path\n",
    "\n",
    "import ipywidgets as widgets\n",
    "import numpy as np\n",
    "from IPython.display import display\n",
    "from qcodes import Instrument\n",
    "from qcodes.parameters import ManualParameter\n",
    "from utils.tutorial_analysis_classes import (\n",
    "    QubitFluxSpectroscopyAnalysis,\n",
    "    ResonatorFluxSpectroscopyAnalysis,\n",
    ")\n",
    "from utils.tutorial_utils import (\n",
    "    set_drive_attenuation,\n",
    "    set_readout_attenuation,\n",
    "    show_args,\n",
    "    show_drive_args,\n",
    "    show_readout_args,\n",
    ")\n",
    "\n",
    "import quantify_core.data.handling as dh\n",
    "from qblox_instruments import Cluster, ClusterType, PlugAndPlay\n",
    "from quantify_core.analysis.single_qubit_timedomain import (\n",
    "    RabiAnalysis,\n",
    "    RamseyAnalysis,\n",
    "    T1Analysis,\n",
    ")\n",
    "from quantify_core.analysis.spectroscopy_analysis import QubitSpectroscopyAnalysis\n",
    "from quantify_core.measurement.control import MeasurementControl\n",
    "from quantify_core.visualization.pyqt_plotmon import PlotMonitor_pyqt as PlotMonitor\n",
    "from quantify_scheduler.device_under_test.quantum_device import QuantumDevice\n",
    "from quantify_scheduler.device_under_test.transmon_element import BasicTransmonElement\n",
    "from quantify_scheduler.gettables import ScheduleGettable\n",
    "from quantify_scheduler.instrument_coordinator import InstrumentCoordinator\n",
    "from quantify_scheduler.instrument_coordinator.components.qblox import ClusterComponent\n",
    "from quantify_scheduler.operations.gate_library import Measure, Reset\n",
    "from quantify_scheduler.operations.pulse_library import SetClockFrequency, SquarePulse\n",
    "from quantify_scheduler.resources import ClockResource\n",
    "from quantify_scheduler.schedules import heterodyne_spec_sched_nco, rabi_sched, t1_sched\n",
    "from quantify_scheduler.schedules.schedule import Schedule\n",
    "from quantify_scheduler.schedules.timedomain_schedules import ramsey_sched"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "6ce34001",
   "metadata": {},
   "source": [
    "### Scan For Clusters\n",
    "\n",
    "We scan for the available clusters on our network using the Plug & Play functionality of the Qblox Instruments package (see [Plug & Play](https://qblox-qblox-instruments.readthedocs-hosted.com/en/master/api_reference/tools.html#plug-play) for more info)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "5789c60d-84fa-4c37-847c-405fdc9e1cf6",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-11-07T18:29:58.970411Z",
     "iopub.status.busy": "2023-11-07T18:29:58.969405Z",
     "iopub.status.idle": "2023-11-07T18:30:00.020002Z",
     "shell.execute_reply": "2023-11-07T18:30:00.019002Z"
    }
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d3b6f1cfe4344c86bcfeb13b7985492b",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Dropdown(description='Select Device', options=(['Dummy-Cluster', 'dummy_cluster'], ('QAE_1 @10.10.200.42', '00…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "warnings.simplefilter(\"ignore\")\n",
    "\n",
    "# Scan for available devices and display\n",
    "with PlugAndPlay() as p:\n",
    "    # Get info of all devices\n",
    "    device_list = p.list_devices()\n",
    "\n",
    "names = {dev_id: dev_info[\"description\"][\"name\"] for dev_id, dev_info in device_list.items()}\n",
    "names[\"dummy_cluster\"] = \"dummy_cluster\"\n",
    "ip_addresses = {dev_id: dev_info[\"identity\"][\"ip\"] for dev_id, dev_info in device_list.items()}\n",
    "\n",
    "\n",
    "# Create widget for names and ip addresses\n",
    "connect = widgets.Dropdown(\n",
    "    options=[[\"Dummy-Cluster\", \"dummy_cluster\"]]\n",
    "    + [(f\"{names[dev_id]} @{ip_addresses[dev_id]}\", dev_id) for dev_id in device_list],\n",
    "    description=\"Select Device\",\n",
    ")\n",
    "display(connect)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "450716e2",
   "metadata": {},
   "source": [
    "### Connect to Cluster\n",
    "\n",
    "We now make a connection with the Cluster selected in the dropdown widget. We also define a function to find the modules we're interested in. We select the readout and control module we want to use."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "93081ffa-fecb-45db-89bd-10ef7b97b9b3",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-11-07T18:30:00.025585Z",
     "iopub.status.busy": "2023-11-07T18:30:00.024519Z",
     "iopub.status.idle": "2023-11-07T18:30:00.287008Z",
     "shell.execute_reply": "2023-11-07T18:30:00.286008Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dummy-Cluster connected\n"
     ]
    }
   ],
   "source": [
    "# Close all existing QCoDeS Instrument instances\n",
    "Instrument.close_all()\n",
    "\n",
    "# Select the device\n",
    "dev_id = connect.value\n",
    "\n",
    "# Here we have the option to use a dummy device so that you can run your tests without a physical cluster\n",
    "dummy_cfg = (\n",
    "    {\n",
    "        1: ClusterType.CLUSTER_QCM_RF,\n",
    "        2: ClusterType.CLUSTER_QCM,\n",
    "        3: ClusterType.CLUSTER_QRM_RF,\n",
    "    }\n",
    "    if dev_id == \"dummy_cluster\"\n",
    "    else None\n",
    ")\n",
    "\n",
    "cluster = Cluster(name=\"cluster0\", identifier=ip_addresses.get(dev_id), dummy_cfg=dummy_cfg)\n",
    "\n",
    "print(f\"{connect.label} connected\")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "3aa44d8f",
   "metadata": {},
   "source": [
    "### Reset the Cluster\n",
    "\n",
    "We reset the Cluster to enter a well-defined state. Note that resetting will clear all stored parameters and repeats startup calibration, so resetting between experiments is usually not desirable."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "433d5e4c-3cd2-446c-930f-81048e06e46a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-11-07T18:30:00.291529Z",
     "iopub.status.busy": "2023-11-07T18:30:00.291529Z",
     "iopub.status.idle": "2023-11-07T18:30:00.303729Z",
     "shell.execute_reply": "2023-11-07T18:30:00.301779Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Status: CRITICAL, Flags: TEMPERATURE_OUT_OF_RANGE, Slot flags: SLOT1_TEMPERATURE_OUT_OF_RANGE, SLOT2_TEMPERATURE_OUT_OF_RANGE, SLOT3_TEMPERATURE_OUT_OF_RANGE\n"
     ]
    }
   ],
   "source": [
    "cluster.reset()\n",
    "print(cluster.get_system_state())"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "51449b53",
   "metadata": {},
   "source": [
    "Note that a dummy cluster will raise error flags, this is expected behavior and can be ignored."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "a8e19199",
   "metadata": {},
   "source": [
    "### Quantum device settings\n",
    "Here we initialize our `QuantumDevice` and our qubit parameters,  checkout this [tutorial](https://quantify-quantify-scheduler.readthedocs-hosted.com/en/latest/tutorials/Operations%20and%20Qubits.html) for further details.\n",
    "\n",
    "In short, a `QuantumDevice` contains device elements where we save our found parameters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "5347b271",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-11-07T18:30:00.307725Z",
     "iopub.status.busy": "2023-11-07T18:30:00.307725Z",
     "iopub.status.idle": "2023-11-07T18:30:00.318582Z",
     "shell.execute_reply": "2023-11-07T18:30:00.317034Z"
    },
    "lines_to_next_cell": 2
   },
   "outputs": [],
   "source": [
    "qubit = BasicTransmonElement(\"qubit\")\n",
    "qubit.measure.acq_channel(0)\n",
    "\n",
    "quantum_device = QuantumDevice(\"device_1q\")\n",
    "quantum_device.hardware_config(hardware_cfg)\n",
    "\n",
    "quantum_device.add_element(qubit)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "4b454259",
   "metadata": {
    "lines_to_next_cell": 2
   },
   "source": [
    "### Configure measurement control loop\n",
    "We will use a `MeasurementControl` object for data acquisition as well as an `InstrumentCoordinator` for controlling the instruments in our setup.\n",
    "\n",
    "The `PlotMonitor` is used for live plotting.\n",
    "\n",
    "All of these are then associated with the `QuantumDevice`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "b556e1a0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-11-07T18:30:00.323235Z",
     "iopub.status.busy": "2023-11-07T18:30:00.321728Z",
     "iopub.status.idle": "2023-11-07T18:30:00.333647Z",
     "shell.execute_reply": "2023-11-07T18:30:00.333127Z"
    }
   },
   "outputs": [],
   "source": [
    "def configure_measurement_control_loop(\n",
    "    device: QuantumDevice, cluster: Cluster, live_plotting: bool = False\n",
    ") -> None:\n",
    "    # Close QCoDeS instruments with conflicting names\n",
    "    for name in [\n",
    "        \"PlotMonitor\",\n",
    "        \"meas_ctrl\",\n",
    "        \"ic\",\n",
    "        \"ic_generic\",\n",
    "        f\"ic_{cluster.name}\",\n",
    "    ] + [f\"ic_{module.name}\" for module in cluster.modules]:\n",
    "        with contextlib.suppress(KeyError):\n",
    "            Instrument.find_instrument(name).close()\n",
    "\n",
    "    meas_ctrl = MeasurementControl(\"meas_ctrl\")\n",
    "    ic = InstrumentCoordinator(\"ic\")\n",
    "\n",
    "    # Add cluster to instrument coordinator\n",
    "    ic_cluster = ClusterComponent(cluster)\n",
    "    ic.add_component(ic_cluster)\n",
    "\n",
    "    if live_plotting:\n",
    "        # Associate plot monitor with measurement controller\n",
    "        plotmon = PlotMonitor(\"PlotMonitor\")\n",
    "        meas_ctrl.instr_plotmon(plotmon.name)\n",
    "\n",
    "    # Associate measurement controller and instrument coordinator with the quantum device\n",
    "    device.instr_measurement_control(meas_ctrl.name)\n",
    "    device.instr_instrument_coordinator(ic.name)\n",
    "\n",
    "    return (meas_ctrl, ic)\n",
    "\n",
    "\n",
    "meas_ctrl, instrument_coordinator = configure_measurement_control_loop(quantum_device, cluster)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "77aafa94",
   "metadata": {},
   "source": [
    "### Set data directory\n",
    "This directory is where all of the experimental data as well as all of the post processing will go."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "499a24fd",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-11-07T18:30:00.337860Z",
     "iopub.status.busy": "2023-11-07T18:30:00.337860Z",
     "iopub.status.idle": "2023-11-07T18:30:00.350572Z",
     "shell.execute_reply": "2023-11-07T18:30:00.348746Z"
    }
   },
   "outputs": [],
   "source": [
    "# Enter your own dataset directory here!\n",
    "dh.set_datadir(Path(\"example_data\").resolve())"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "79ad8062",
   "metadata": {},
   "source": [
    "### Configure external flux control\n",
    "In the case of flux-tunable transmon qubits, we need to have some way of controlling the external flux.\n",
    "\n",
    "This can be done by setting an output bias on a module of the cluster which is then connected to the flux line.\n",
    "\n",
    "```python\n",
    "    # e.g. nullify external flux by setting current to 0 A\n",
    "    cluster.module2.out0_current(0.0)\n",
    "```\n",
    "\n",
    "If your system is not using flux-tunable transmons, then you can skip to the next section."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "6d9b6a3e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-11-07T18:30:00.355437Z",
     "iopub.status.busy": "2023-11-07T18:30:00.354890Z",
     "iopub.status.idle": "2023-11-07T18:30:00.365972Z",
     "shell.execute_reply": "2023-11-07T18:30:00.364454Z"
    }
   },
   "outputs": [],
   "source": [
    "flux_settable: callable = cluster.module2.out0_offset\n",
    "flux_settable(0.0)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "5bbcd617",
   "metadata": {},
   "source": [
    "### Activate NCO delay compensation\n",
    "Compensate for the digital propagation delay for each qubit (i.e each sequencer)\n",
    "\n",
    "For more info, please see the [API reference](https://qblox-qblox-instruments.readthedocs-hosted.com/en/master/api_reference/sequencer.html#Sequencer.nco_prop_delay_comp).\n",
    "\n",
    "To avoid mismatches between modulation and demodulation, the delay between any readout frequency or phase changes and the next acquisition should be equal or greater than the total propagation delay (146ns + user defined value)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "8eaca2e6",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-11-07T18:30:00.370099Z",
     "iopub.status.busy": "2023-11-07T18:30:00.369075Z",
     "iopub.status.idle": "2023-11-07T18:30:00.380835Z",
     "shell.execute_reply": "2023-11-07T18:30:00.379833Z"
    }
   },
   "outputs": [],
   "source": [
    "for i in range(6):\n",
    "    getattr(cluster.module3, f\"sequencer{i}\").nco_prop_delay_comp_en(True)\n",
    "    getattr(cluster.module3, f\"sequencer{i}\").nco_prop_delay_comp(50)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "614fedb1",
   "metadata": {},
   "source": [
    "## Characterization experiments\n",
    "The sweep setpoints for all experiments (e.g. `frequency_setpoints` in the spectroscopy experiments) are only examples. The sweep setpoints should be changed to match your own system.\n",
    "\n",
    "We show two sets of experiments: The first contains generic characterization experiments for transmon qubits. The second contains 2D experiments for finding the flux sweetspot, applicable for flux-tunable qubits.\n",
    "\n",
    "\n",
    "Here we consider five standard characterization experiments for single qubit tuneup. The experiments are:\n",
    "1. Resonator spectroscopy\n",
    "    - Used to find the frequency response of the readout resonator when the qubit is in $|0\\rangle$.\n",
    "2. Qubit spectroscopy (a.k.a two-tone)\n",
    "    - Used to find the $|0\\rangle \\rightarrow |1\\rangle$ drive frequency.\n",
    "3. Rabi oscillations\n",
    "    - Used to find precise excitation pulse required to excite the qubit to $|1\\rangle$.\n",
    "4. Ramsey oscillations\n",
    "    - Used to tune the $|0\\rangle \\rightarrow |1\\rangle$ drive frequency more precisely.\n",
    "    - Used to measure $T_2^*$.\n",
    "5. T1\n",
    "    - Used to find the time it takes for the qubit to decay from $|1\\rangle$ to $|0\\rangle$, the $T_1$ time."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "0b482491",
   "metadata": {},
   "source": [
    "## Resonator spectroscopy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "dc88a4aa",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-11-07T18:30:00.385854Z",
     "iopub.status.busy": "2023-11-07T18:30:00.384853Z",
     "iopub.status.idle": "2023-11-07T18:30:00.396429Z",
     "shell.execute_reply": "2023-11-07T18:30:00.395424Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "spec_sched_kwargs\n",
      "====================================\n",
      "pulse_amp         = 0.16666666666666666\n",
      "pulse_duration    = 2e-06\n",
      "frequencies       = freq\n",
      "acquisition_delay = 1.96e-07\n",
      "integration_time  = 2e-06\n",
      "init_duration     = 1e-05\n",
      "port              = qubit:res\n",
      "clock             = qubit.ro\n"
     ]
    }
   ],
   "source": [
    "freq = ManualParameter(name=\"freq\", unit=\"Hz\", label=\"Frequency\")\n",
    "freq.batched = True\n",
    "freq.batch_size = 100\n",
    "\n",
    "spec_sched_kwargs = dict(\n",
    "    pulse_amp=1 / 6,\n",
    "    pulse_duration=2e-6,\n",
    "    frequencies=freq,\n",
    "    acquisition_delay=196e-9,\n",
    "    integration_time=2e-6,\n",
    "    init_duration=10e-6,\n",
    "    port=qubit.ports.readout(),\n",
    "    clock=qubit.name + \".ro\",\n",
    ")\n",
    "gettable = ScheduleGettable(\n",
    "    quantum_device,\n",
    "    schedule_function=heterodyne_spec_sched_nco,\n",
    "    schedule_kwargs=spec_sched_kwargs,\n",
    "    real_imag=False,\n",
    "    batched=True,\n",
    ")\n",
    "\n",
    "meas_ctrl.gettables(gettable)\n",
    "show_args(spec_sched_kwargs, title=\"spec_sched_kwargs\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "9f3a6689",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-11-07T18:30:00.400980Z",
     "iopub.status.busy": "2023-11-07T18:30:00.400980Z",
     "iopub.status.idle": "2023-11-07T18:30:01.153163Z",
     "shell.execute_reply": "2023-11-07T18:30:01.152092Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting batched measurement..."
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Iterative settable(s) [outer loop(s)]:\n",
      "\t --- (None) --- \n",
      "Batched settable(s):\n",
      "\t freq \n",
      "Batch size limit: 100\n",
      "\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "823f12ecc34b4e2db88e13e5c803a389",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Completed:   0%|           [ elapsed time: 00:00 | time left: ? ] it"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body[data-theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (dim_0: 300)\n",
       "Coordinates:\n",
       "    x0       (dim_0) float64 7.68e+09 7.68e+09 7.68e+09 ... 7.72e+09 7.72e+09\n",
       "Dimensions without coordinates: dim_0\n",
       "Data variables:\n",
       "    y0       (dim_0) float64 nan nan nan nan nan nan ... nan nan nan nan nan nan\n",
       "    y1       (dim_0) float64 nan nan nan nan nan nan ... nan nan nan nan nan nan\n",
       "Attributes:\n",
       "    tuid:                             20231107-193000-406-5e886e\n",
       "    name:                             resonator spectroscopy\n",
       "    grid_2d:                          False\n",
       "    grid_2d_uniformly_spaced:         False\n",
       "    1d_2_settables_uniformly_spaced:  False</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-b1649c1e-7a07-403d-a1c5-1e9c9f14edd2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b1649c1e-7a07-403d-a1c5-1e9c9f14edd2' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>dim_0</span>: 300</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-5cd968ad-3e73-4e0d-9aa0-378e8e5a484b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5cd968ad-3e73-4e0d-9aa0-378e8e5a484b' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>x0</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.68e+09 7.68e+09 ... 7.72e+09</div><input id='attrs-f96a33a8-6325-4062-93d5-80148c7ffe29' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f96a33a8-6325-4062-93d5-80148c7ffe29' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-641a64a5-9a0e-4be1-9740-7648d7e308ef' class='xr-var-data-in' type='checkbox'><label for='data-641a64a5-9a0e-4be1-9740-7648d7e308ef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>freq</dd><dt><span>long_name :</span></dt><dd>Frequency</dd><dt><span>units :</span></dt><dd>Hz</dd><dt><span>batched :</span></dt><dd>True</dd><dt><span>batch_size :</span></dt><dd>100</dd></dl></div><div class='xr-var-data'><pre>array([7.68000000e+09, 7.68013378e+09, 7.68026756e+09, 7.68040134e+09,\n",
       "       7.68053512e+09, 7.68066890e+09, 7.68080268e+09, 7.68093645e+09,\n",
       "       7.68107023e+09, 7.68120401e+09, 7.68133779e+09, 7.68147157e+09,\n",
       "       7.68160535e+09, 7.68173913e+09, 7.68187291e+09, 7.68200669e+09,\n",
       "       7.68214047e+09, 7.68227425e+09, 7.68240803e+09, 7.68254181e+09,\n",
       "       7.68267559e+09, 7.68280936e+09, 7.68294314e+09, 7.68307692e+09,\n",
       "       7.68321070e+09, 7.68334448e+09, 7.68347826e+09, 7.68361204e+09,\n",
       "       7.68374582e+09, 7.68387960e+09, 7.68401338e+09, 7.68414716e+09,\n",
       "       7.68428094e+09, 7.68441472e+09, 7.68454849e+09, 7.68468227e+09,\n",
       "       7.68481605e+09, 7.68494983e+09, 7.68508361e+09, 7.68521739e+09,\n",
       "       7.68535117e+09, 7.68548495e+09, 7.68561873e+09, 7.68575251e+09,\n",
       "       7.68588629e+09, 7.68602007e+09, 7.68615385e+09, 7.68628763e+09,\n",
       "       7.68642140e+09, 7.68655518e+09, 7.68668896e+09, 7.68682274e+09,\n",
       "       7.68695652e+09, 7.68709030e+09, 7.68722408e+09, 7.68735786e+09,\n",
       "       7.68749164e+09, 7.68762542e+09, 7.68775920e+09, 7.68789298e+09,\n",
       "       7.68802676e+09, 7.68816054e+09, 7.68829431e+09, 7.68842809e+09,\n",
       "       7.68856187e+09, 7.68869565e+09, 7.68882943e+09, 7.68896321e+09,\n",
       "       7.68909699e+09, 7.68923077e+09, 7.68936455e+09, 7.68949833e+09,\n",
       "       7.68963211e+09, 7.68976589e+09, 7.68989967e+09, 7.69003344e+09,\n",
       "       7.69016722e+09, 7.69030100e+09, 7.69043478e+09, 7.69056856e+09,\n",
       "...\n",
       "       7.70943144e+09, 7.70956522e+09, 7.70969900e+09, 7.70983278e+09,\n",
       "       7.70996656e+09, 7.71010033e+09, 7.71023411e+09, 7.71036789e+09,\n",
       "       7.71050167e+09, 7.71063545e+09, 7.71076923e+09, 7.71090301e+09,\n",
       "       7.71103679e+09, 7.71117057e+09, 7.71130435e+09, 7.71143813e+09,\n",
       "       7.71157191e+09, 7.71170569e+09, 7.71183946e+09, 7.71197324e+09,\n",
       "       7.71210702e+09, 7.71224080e+09, 7.71237458e+09, 7.71250836e+09,\n",
       "       7.71264214e+09, 7.71277592e+09, 7.71290970e+09, 7.71304348e+09,\n",
       "       7.71317726e+09, 7.71331104e+09, 7.71344482e+09, 7.71357860e+09,\n",
       "       7.71371237e+09, 7.71384615e+09, 7.71397993e+09, 7.71411371e+09,\n",
       "       7.71424749e+09, 7.71438127e+09, 7.71451505e+09, 7.71464883e+09,\n",
       "       7.71478261e+09, 7.71491639e+09, 7.71505017e+09, 7.71518395e+09,\n",
       "       7.71531773e+09, 7.71545151e+09, 7.71558528e+09, 7.71571906e+09,\n",
       "       7.71585284e+09, 7.71598662e+09, 7.71612040e+09, 7.71625418e+09,\n",
       "       7.71638796e+09, 7.71652174e+09, 7.71665552e+09, 7.71678930e+09,\n",
       "       7.71692308e+09, 7.71705686e+09, 7.71719064e+09, 7.71732441e+09,\n",
       "       7.71745819e+09, 7.71759197e+09, 7.71772575e+09, 7.71785953e+09,\n",
       "       7.71799331e+09, 7.71812709e+09, 7.71826087e+09, 7.71839465e+09,\n",
       "       7.71852843e+09, 7.71866221e+09, 7.71879599e+09, 7.71892977e+09,\n",
       "       7.71906355e+09, 7.71919732e+09, 7.71933110e+09, 7.71946488e+09,\n",
       "       7.71959866e+09, 7.71973244e+09, 7.71986622e+09, 7.72000000e+09])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-83f5038f-3b48-4646-a454-1944a9166b5b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-83f5038f-3b48-4646-a454-1944a9166b5b' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>y0</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-0a416463-0888-4f3b-a5cf-08bea4ed3be6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0a416463-0888-4f3b-a5cf-08bea4ed3be6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cb31f8f5-679c-442a-a969-632e6d51be77' class='xr-var-data-in' type='checkbox'><label for='data-cb31f8f5-679c-442a-a969-632e6d51be77' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>magn</dd><dt><span>long_name :</span></dt><dd>Magnitude0</dd><dt><span>units :</span></dt><dd>V</dd><dt><span>batched :</span></dt><dd>True</dd><dt><span>batch_size :</span></dt><dd>1024</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>y1</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-e43745d5-3652-4f82-9d5c-51e16afcae66' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e43745d5-3652-4f82-9d5c-51e16afcae66' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a790407d-4298-41f5-9dcf-a5b266a6af81' class='xr-var-data-in' type='checkbox'><label for='data-a790407d-4298-41f5-9dcf-a5b266a6af81' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>phase</dd><dt><span>long_name :</span></dt><dd>Phase0</dd><dt><span>units :</span></dt><dd>deg</dd><dt><span>batched :</span></dt><dd>True</dd><dt><span>batch_size :</span></dt><dd>1024</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-095e6978-4506-4bee-bd68-05c1911439f7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-095e6978-4506-4bee-bd68-05c1911439f7' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-4898e541-5380-4cde-a35c-af9e33c0f9ce' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4898e541-5380-4cde-a35c-af9e33c0f9ce' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>tuid :</span></dt><dd>20231107-193000-406-5e886e</dd><dt><span>name :</span></dt><dd>resonator spectroscopy</dd><dt><span>grid_2d :</span></dt><dd>False</dd><dt><span>grid_2d_uniformly_spaced :</span></dt><dd>False</dd><dt><span>1d_2_settables_uniformly_spaced :</span></dt><dd>False</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (dim_0: 300)\n",
       "Coordinates:\n",
       "    x0       (dim_0) float64 7.68e+09 7.68e+09 7.68e+09 ... 7.72e+09 7.72e+09\n",
       "Dimensions without coordinates: dim_0\n",
       "Data variables:\n",
       "    y0       (dim_0) float64 nan nan nan nan nan nan ... nan nan nan nan nan nan\n",
       "    y1       (dim_0) float64 nan nan nan nan nan nan ... nan nan nan nan nan nan\n",
       "Attributes:\n",
       "    tuid:                             20231107-193000-406-5e886e\n",
       "    name:                             resonator spectroscopy\n",
       "    grid_2d:                          False\n",
       "    grid_2d_uniformly_spaced:         False\n",
       "    1d_2_settables_uniformly_spaced:  False"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "set_readout_attenuation(quantum_device, qubit, out_att=50, in_att=0)\n",
    "\n",
    "quantum_device.cfg_sched_repetitions(400)\n",
    "\n",
    "center = 7.7e9\n",
    "frequency_setpoints = np.linspace(center - 20e6, center + 20e6, 300)\n",
    "meas_ctrl.settables(freq)\n",
    "meas_ctrl.setpoints(frequency_setpoints)\n",
    "\n",
    "rs_ds = meas_ctrl.run(\"resonator spectroscopy\")\n",
    "rs_ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "9ce12a86",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-11-07T18:30:01.159168Z",
     "iopub.status.busy": "2023-11-07T18:30:01.158162Z",
     "iopub.status.idle": "2023-11-07T18:30:01.231360Z",
     "shell.execute_reply": "2023-11-07T18:30:01.229371Z"
    }
   },
   "outputs": [],
   "source": [
    "# If on dummy, override with old data for analysis\n",
    "if dev_id == \"dummy_cluster\":\n",
    "    rs_ds = dh.load_dataset(tuid=\"20230509-100918-578-4f26b5\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "a3f47f56",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-11-07T18:30:01.236188Z",
     "iopub.status.busy": "2023-11-07T18:30:01.235176Z",
     "iopub.status.idle": "2023-11-07T18:30:04.214925Z",
     "shell.execute_reply": "2023-11-07T18:30:04.213891Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from quantify_core.analysis.spectroscopy_analysis import ResonatorSpectroscopyAnalysis\n",
    "\n",
    "rs_analysis = ResonatorSpectroscopyAnalysis(tuid=rs_ds.attrs[\"tuid\"], dataset=rs_ds)\n",
    "rs_analysis.run().display_figs_mpl()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "0dbeed75",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-11-07T18:30:04.219756Z",
     "iopub.status.busy": "2023-11-07T18:30:04.219756Z",
     "iopub.status.idle": "2023-11-07T18:30:04.230411Z",
     "shell.execute_reply": "2023-11-07T18:30:04.229315Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "qubit.measure\n",
      "============================================\n",
      "pulse_type                = SquarePulse\n",
      "pulse_amp                 = 0.16666666666666666\n",
      "pulse_duration            = 2e-06\n",
      "acq_channel               = 0\n",
      "acq_delay                 = 1.96e-07\n",
      "integration_time          = 2e-06\n",
      "reset_clock_phase         = True\n",
      "acq_weights_a             = None\n",
      "acq_weights_b             = None\n",
      "acq_weights_sampling_rate = None\n",
      "acq_weight_type           = SSB\n",
      "acq_rotation              = 0\n",
      "acq_threshold             = 0\n",
      "\n",
      "qubit.reset\n",
      "==============\n",
      "duration = 0.0001\n",
      "\n",
      "qubit.clock_freqs\n",
      "========================\n",
      "readout = 7902645766.024351\n"
     ]
    }
   ],
   "source": [
    "qubit.reset.duration(100e-6)\n",
    "qubit.measure.acq_delay(spec_sched_kwargs[\"acquisition_delay\"])\n",
    "qubit.measure.pulse_amp(spec_sched_kwargs[\"pulse_amp\"])\n",
    "qubit.measure.pulse_duration(spec_sched_kwargs[\"pulse_duration\"])\n",
    "qubit.measure.integration_time(spec_sched_kwargs[\"integration_time\"])\n",
    "\n",
    "qubit.clock_freqs.readout(rs_analysis.quantities_of_interest[\"fr\"].nominal_value)\n",
    "show_readout_args(qubit)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1ae06350",
   "metadata": {},
   "source": [
    "## Resonator punchout"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "3fe8c148",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-11-07T18:30:04.234416Z",
     "iopub.status.busy": "2023-11-07T18:30:04.234416Z",
     "iopub.status.idle": "2023-11-07T18:30:04.245741Z",
     "shell.execute_reply": "2023-11-07T18:30:04.244615Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "spec_sched_kwargs\n",
      "=============================\n",
      "pulse_amp         = ro_pulse_amp\n",
      "pulse_duration    = 2e-06\n",
      "frequencies       = freq\n",
      "acquisition_delay = 1.96e-07\n",
      "integration_time  = 2e-06\n",
      "init_duration     = 1e-05\n",
      "port              = qubit:res\n",
      "clock             = qubit.ro\n"
     ]
    }
   ],
   "source": [
    "freq = ManualParameter(name=\"freq\", unit=\"Hz\", label=\"Frequency\")\n",
    "freq.batched = True\n",
    "\n",
    "ro_pulse_amp = ManualParameter(name=\"ro_pulse_amp\", unit=\"\", label=\"Readout pulse amplitude\")\n",
    "ro_pulse_amp.batched = False\n",
    "\n",
    "spec_sched_kwargs = dict(\n",
    "    pulse_amp=ro_pulse_amp,\n",
    "    pulse_duration=2e-6,\n",
    "    frequencies=freq,\n",
    "    acquisition_delay=196e-9,\n",
    "    integration_time=2e-6,\n",
    "    init_duration=10e-6,\n",
    "    port=qubit.ports.readout(),\n",
    "    clock=qubit.name + \".ro\",\n",
    ")\n",
    "gettable = ScheduleGettable(\n",
    "    quantum_device,\n",
    "    schedule_function=heterodyne_spec_sched_nco,\n",
    "    schedule_kwargs=spec_sched_kwargs,\n",
    "    real_imag=False,\n",
    "    batched=True,\n",
    ")\n",
    "\n",
    "meas_ctrl.gettables(gettable)\n",
    "show_args(spec_sched_kwargs, title=\"spec_sched_kwargs\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "12ab5802",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-11-07T18:30:04.250332Z",
     "iopub.status.busy": "2023-11-07T18:30:04.249307Z",
     "iopub.status.idle": "2023-11-07T18:30:07.557895Z",
     "shell.execute_reply": "2023-11-07T18:30:07.556293Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting batched measurement...\n",
      "Iterative settable(s) [outer loop(s)]:\n",
      "\t ro_pulse_amp \n",
      "Batched settable(s):\n",
      "\t freq \n",
      "Batch size limit: 1024\n",
      "\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a4799c0a0ff94851a34bcdd06fdfbb3d",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Completed:   0%|           [ elapsed time: 00:00 | time left: ? ] it"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body[data-theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (dim_0: 3000)\n",
       "Coordinates:\n",
       "    x0       (dim_0) float64 7.68e+09 7.68e+09 7.68e+09 ... 7.72e+09 7.72e+09\n",
       "    x1       (dim_0) float64 0.0 0.0 0.0 0.0 0.0 0.0 ... 1.0 1.0 1.0 1.0 1.0 1.0\n",
       "Dimensions without coordinates: dim_0\n",
       "Data variables:\n",
       "    y0       (dim_0) float64 nan nan nan nan nan nan ... nan nan nan nan nan nan\n",
       "    y1       (dim_0) float64 nan nan nan nan nan nan ... nan nan nan nan nan nan\n",
       "Attributes:\n",
       "    tuid:                             20231107-193004-258-eb03ff\n",
       "    name:                             resonator punchout\n",
       "    grid_2d:                          True\n",
       "    grid_2d_uniformly_spaced:         True\n",
       "    1d_2_settables_uniformly_spaced:  False\n",
       "    xlen:                             300\n",
       "    ylen:                             10</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-16c9e5ae-86cb-448b-8675-9cfe922ac21e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-16c9e5ae-86cb-448b-8675-9cfe922ac21e' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>dim_0</span>: 3000</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-90ca4c24-696e-4a4e-8503-e77eb70d1c02' class='xr-section-summary-in' type='checkbox'  checked><label for='section-90ca4c24-696e-4a4e-8503-e77eb70d1c02' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>x0</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.68e+09 7.68e+09 ... 7.72e+09</div><input id='attrs-4412110b-48e3-4a05-8923-4d12c1b038c4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4412110b-48e3-4a05-8923-4d12c1b038c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d20ae77e-5c30-4e54-9289-eedacd5124fc' class='xr-var-data-in' type='checkbox'><label for='data-d20ae77e-5c30-4e54-9289-eedacd5124fc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>freq</dd><dt><span>long_name :</span></dt><dd>Frequency</dd><dt><span>units :</span></dt><dd>Hz</dd><dt><span>batched :</span></dt><dd>True</dd></dl></div><div class='xr-var-data'><pre>array([7.68000000e+09, 7.68013378e+09, 7.68026756e+09, ...,\n",
       "       7.71973244e+09, 7.71986622e+09, 7.72000000e+09])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x1</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 1.0 1.0 1.0 1.0</div><input id='attrs-cf9b8616-8ff5-4bd7-81e4-361a31603cb6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cf9b8616-8ff5-4bd7-81e4-361a31603cb6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f4d2c65e-0e93-41c9-8613-0e41639b4d6f' class='xr-var-data-in' type='checkbox'><label for='data-f4d2c65e-0e93-41c9-8613-0e41639b4d6f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>ro_pulse_amp</dd><dt><span>long_name :</span></dt><dd>Readout pulse amplitude</dd><dt><span>units :</span></dt><dd></dd><dt><span>batched :</span></dt><dd>False</dd></dl></div><div class='xr-var-data'><pre>array([0., 0., 0., ..., 1., 1., 1.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-27839336-cccf-43d2-8639-9fbbdc0fbe7f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-27839336-cccf-43d2-8639-9fbbdc0fbe7f' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>y0</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-7f5548ab-b8f6-4434-862f-c15c25888d68' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7f5548ab-b8f6-4434-862f-c15c25888d68' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-007956ae-1e9d-4c86-b667-e22ade1f8edd' class='xr-var-data-in' type='checkbox'><label for='data-007956ae-1e9d-4c86-b667-e22ade1f8edd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>magn</dd><dt><span>long_name :</span></dt><dd>Magnitude0</dd><dt><span>units :</span></dt><dd>V</dd><dt><span>batched :</span></dt><dd>True</dd><dt><span>batch_size :</span></dt><dd>1024</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, ..., nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>y1</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-dd881f5b-2e64-4ab0-b697-e7c8446cf404' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dd881f5b-2e64-4ab0-b697-e7c8446cf404' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dfea7041-b69e-4c17-a024-c23c592abef0' class='xr-var-data-in' type='checkbox'><label for='data-dfea7041-b69e-4c17-a024-c23c592abef0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>phase</dd><dt><span>long_name :</span></dt><dd>Phase0</dd><dt><span>units :</span></dt><dd>deg</dd><dt><span>batched :</span></dt><dd>True</dd><dt><span>batch_size :</span></dt><dd>1024</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, ..., nan, nan, nan])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cae33bb9-b97c-41ac-bdcf-e9333922a365' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-cae33bb9-b97c-41ac-bdcf-e9333922a365' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-9137ba6e-f398-4601-abdf-2666f6c36222' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9137ba6e-f398-4601-abdf-2666f6c36222' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>tuid :</span></dt><dd>20231107-193004-258-eb03ff</dd><dt><span>name :</span></dt><dd>resonator punchout</dd><dt><span>grid_2d :</span></dt><dd>True</dd><dt><span>grid_2d_uniformly_spaced :</span></dt><dd>True</dd><dt><span>1d_2_settables_uniformly_spaced :</span></dt><dd>False</dd><dt><span>xlen :</span></dt><dd>300</dd><dt><span>ylen :</span></dt><dd>10</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (dim_0: 3000)\n",
       "Coordinates:\n",
       "    x0       (dim_0) float64 7.68e+09 7.68e+09 7.68e+09 ... 7.72e+09 7.72e+09\n",
       "    x1       (dim_0) float64 0.0 0.0 0.0 0.0 0.0 0.0 ... 1.0 1.0 1.0 1.0 1.0 1.0\n",
       "Dimensions without coordinates: dim_0\n",
       "Data variables:\n",
       "    y0       (dim_0) float64 nan nan nan nan nan nan ... nan nan nan nan nan nan\n",
       "    y1       (dim_0) float64 nan nan nan nan nan nan ... nan nan nan nan nan nan\n",
       "Attributes:\n",
       "    tuid:                             20231107-193004-258-eb03ff\n",
       "    name:                             resonator punchout\n",
       "    grid_2d:                          True\n",
       "    grid_2d_uniformly_spaced:         True\n",
       "    1d_2_settables_uniformly_spaced:  False\n",
       "    xlen:                             300\n",
       "    ylen:                             10"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "set_readout_attenuation(quantum_device, qubit, out_att=50, in_att=0)\n",
    "\n",
    "quantum_device.cfg_sched_repetitions(80)\n",
    "center = 7.7e9\n",
    "frequency_setpoints = np.linspace(center - 20e6, center + 20e6, 300)\n",
    "\n",
    "meas_ctrl.settables([freq, ro_pulse_amp])\n",
    "meas_ctrl.setpoints_grid((frequency_setpoints, np.linspace(0, 1, 10)))\n",
    "\n",
    "punchout_ds = meas_ctrl.run(\"resonator punchout\")\n",
    "punchout_ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "8a4a21c5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-11-07T18:30:07.561896Z",
     "iopub.status.busy": "2023-11-07T18:30:07.560895Z",
     "iopub.status.idle": "2023-11-07T18:30:07.587687Z",
     "shell.execute_reply": "2023-11-07T18:30:07.586224Z"
    }
   },
   "outputs": [],
   "source": [
    "# If on dummy, override with old data for analysis\n",
    "if dev_id == \"dummy_cluster\":\n",
    "    punchout_ds = dh.load_dataset(tuid=\"20230309-234016-313-799418\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "31b37486",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-11-07T18:30:07.593151Z",
     "iopub.status.busy": "2023-11-07T18:30:07.592134Z",
     "iopub.status.idle": "2023-11-07T18:30:11.510418Z",
     "shell.execute_reply": "2023-11-07T18:30:11.508819Z"
    },
    "lines_to_next_cell": 2
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from quantify_core.analysis.base_analysis import Basic2DAnalysis\n",
    "\n",
    "b2a = Basic2DAnalysis(tuid=punchout_ds.attrs[\"tuid\"], dataset=punchout_ds)\n",
    "b2a.run().display_figs_mpl()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "93ba67d2",
   "metadata": {
    "lines_to_next_cell": 2
   },
   "source": [
    "## Qubit spectroscopy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "e36d9dae",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-11-07T18:30:11.514945Z",
     "iopub.status.busy": "2023-11-07T18:30:11.513940Z",
     "iopub.status.idle": "2023-11-07T18:30:11.525073Z",
     "shell.execute_reply": "2023-11-07T18:30:11.524074Z"
    }
   },
   "outputs": [],
   "source": [
    "def two_tone_spec_sched_nco(\n",
    "    qubit_name: str,\n",
    "    spec_pulse_amp: float,\n",
    "    spec_pulse_duration: float,\n",
    "    spec_pulse_port: str,\n",
    "    spec_pulse_clock: str,\n",
    "    spec_pulse_frequencies: np.ndarray,\n",
    "    repetitions: int = 1,\n",
    ") -> Schedule:\n",
    "    \"\"\"\n",
    "    Generate a batched schedule for performing fast two-tone spectroscopy using the\n",
    "    `SetClockFrequency` operation for doing an NCO sweep.\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    spec_pulse_amp\n",
    "        Amplitude of the spectroscopy pulse in Volt.\n",
    "    spec_pulse_duration\n",
    "        Duration of the spectroscopy pulse in seconds.\n",
    "    spec_pulse_port\n",
    "        Location on the device where the spectroscopy pulse should be applied.\n",
    "    spec_pulse_clock\n",
    "        Reference clock used to track the spectroscopy frequency.\n",
    "    spec_pulse_frequencies\n",
    "        Sample frequencies for the spectroscopy pulse in Hertz.\n",
    "    repetitions\n",
    "        The amount of times the Schedule will be repeated.\n",
    "    \"\"\"\n",
    "    sched = Schedule(\"two-tone\", repetitions)\n",
    "    sched.add_resource(ClockResource(name=spec_pulse_clock, freq=spec_pulse_frequencies.flat[0]))\n",
    "\n",
    "    for acq_idx, spec_pulse_freq in enumerate(spec_pulse_frequencies):\n",
    "        sched.add(Reset(qubit_name))\n",
    "        sched.add(SetClockFrequency(clock=spec_pulse_clock, clock_freq_new=spec_pulse_freq))\n",
    "        sched.add(\n",
    "            SquarePulse(\n",
    "                duration=spec_pulse_duration,\n",
    "                amp=spec_pulse_amp,\n",
    "                port=spec_pulse_port,\n",
    "                clock=spec_pulse_clock,\n",
    "            )\n",
    "        )\n",
    "        sched.add(Measure(qubit_name, acq_index=acq_idx))\n",
    "\n",
    "    return sched"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "47e8169a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-11-07T18:30:11.529071Z",
     "iopub.status.busy": "2023-11-07T18:30:11.528063Z",
     "iopub.status.idle": "2023-11-07T18:30:11.539311Z",
     "shell.execute_reply": "2023-11-07T18:30:11.539311Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "qubit_spec_sched_kwargs\n",
      "==============================\n",
      "qubit_name             = qubit\n",
      "spec_pulse_frequencies = freq\n",
      "spec_pulse_amp         = 1.0\n",
      "spec_pulse_duration    = 4.8e-05\n",
      "spec_pulse_port        = qubit:mw\n",
      "spec_pulse_clock       = qubit.01\n"
     ]
    }
   ],
   "source": [
    "freq = ManualParameter(name=\"freq\", unit=\"Hz\", label=\"Frequency\")\n",
    "freq.batched = True\n",
    "\n",
    "qubit_spec_sched_kwargs = dict(\n",
    "    qubit_name=qubit.name,\n",
    "    spec_pulse_frequencies=freq,\n",
    "    spec_pulse_amp=1.0,\n",
    "    spec_pulse_duration=48e-6,\n",
    "    spec_pulse_port=qubit.ports.microwave(),\n",
    "    spec_pulse_clock=qubit.name + \".01\",\n",
    ")\n",
    "\n",
    "gettable = ScheduleGettable(\n",
    "    quantum_device,\n",
    "    schedule_function=two_tone_spec_sched_nco,\n",
    "    schedule_kwargs=qubit_spec_sched_kwargs,\n",
    "    real_imag=False,\n",
    "    batched=True,\n",
    ")\n",
    "\n",
    "meas_ctrl.gettables(gettable)\n",
    "\n",
    "show_args(qubit_spec_sched_kwargs, title=\"qubit_spec_sched_kwargs\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "c84a3960",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-11-07T18:30:11.545028Z",
     "iopub.status.busy": "2023-11-07T18:30:11.544501Z",
     "iopub.status.idle": "2023-11-07T18:30:12.257169Z",
     "shell.execute_reply": "2023-11-07T18:30:12.256171Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting batched measurement...\n",
      "Iterative settable(s) [outer loop(s)]:\n",
      "\t --- (None) --- \n",
      "Batched settable(s):\n",
      "\t freq \n",
      "Batch size limit: 300\n",
      "\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9fdad310ff5149c5a7b9c2fa37ff2d27",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Completed:   0%|           [ elapsed time: 00:00 | time left: ? ] it"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body[data-theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (dim_0: 300)\n",
       "Coordinates:\n",
       "    x0       (dim_0) float64 6.08e+09 6.08e+09 6.08e+09 ... 6.12e+09 6.12e+09\n",
       "Dimensions without coordinates: dim_0\n",
       "Data variables:\n",
       "    y0       (dim_0) float64 nan nan nan nan nan nan ... nan nan nan nan nan nan\n",
       "    y1       (dim_0) float64 nan nan nan nan nan nan ... nan nan nan nan nan nan\n",
       "Attributes:\n",
       "    tuid:                             20231107-193011-548-2c03ad\n",
       "    name:                             Two-tone\n",
       "    grid_2d:                          False\n",
       "    grid_2d_uniformly_spaced:         False\n",
       "    1d_2_settables_uniformly_spaced:  False</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-5b05d374-9b26-4bff-b5a6-ec9038bebfd1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5b05d374-9b26-4bff-b5a6-ec9038bebfd1' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>dim_0</span>: 300</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-59a3c09f-3509-40fd-947c-0a244bfcf868' class='xr-section-summary-in' type='checkbox'  checked><label for='section-59a3c09f-3509-40fd-947c-0a244bfcf868' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>x0</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.08e+09 6.08e+09 ... 6.12e+09</div><input id='attrs-6e06118d-e2f0-482d-9e3d-4521a5fdeba6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6e06118d-e2f0-482d-9e3d-4521a5fdeba6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a71dd7b1-88dd-410b-b58e-3db7a4f13928' class='xr-var-data-in' type='checkbox'><label for='data-a71dd7b1-88dd-410b-b58e-3db7a4f13928' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>freq</dd><dt><span>long_name :</span></dt><dd>Frequency</dd><dt><span>units :</span></dt><dd>Hz</dd><dt><span>batched :</span></dt><dd>True</dd></dl></div><div class='xr-var-data'><pre>array([6.08000000e+09, 6.08013378e+09, 6.08026756e+09, 6.08040134e+09,\n",
       "       6.08053512e+09, 6.08066890e+09, 6.08080268e+09, 6.08093645e+09,\n",
       "       6.08107023e+09, 6.08120401e+09, 6.08133779e+09, 6.08147157e+09,\n",
       "       6.08160535e+09, 6.08173913e+09, 6.08187291e+09, 6.08200669e+09,\n",
       "       6.08214047e+09, 6.08227425e+09, 6.08240803e+09, 6.08254181e+09,\n",
       "       6.08267559e+09, 6.08280936e+09, 6.08294314e+09, 6.08307692e+09,\n",
       "       6.08321070e+09, 6.08334448e+09, 6.08347826e+09, 6.08361204e+09,\n",
       "       6.08374582e+09, 6.08387960e+09, 6.08401338e+09, 6.08414716e+09,\n",
       "       6.08428094e+09, 6.08441472e+09, 6.08454849e+09, 6.08468227e+09,\n",
       "       6.08481605e+09, 6.08494983e+09, 6.08508361e+09, 6.08521739e+09,\n",
       "       6.08535117e+09, 6.08548495e+09, 6.08561873e+09, 6.08575251e+09,\n",
       "       6.08588629e+09, 6.08602007e+09, 6.08615385e+09, 6.08628763e+09,\n",
       "       6.08642140e+09, 6.08655518e+09, 6.08668896e+09, 6.08682274e+09,\n",
       "       6.08695652e+09, 6.08709030e+09, 6.08722408e+09, 6.08735786e+09,\n",
       "       6.08749164e+09, 6.08762542e+09, 6.08775920e+09, 6.08789298e+09,\n",
       "       6.08802676e+09, 6.08816054e+09, 6.08829431e+09, 6.08842809e+09,\n",
       "       6.08856187e+09, 6.08869565e+09, 6.08882943e+09, 6.08896321e+09,\n",
       "       6.08909699e+09, 6.08923077e+09, 6.08936455e+09, 6.08949833e+09,\n",
       "       6.08963211e+09, 6.08976589e+09, 6.08989967e+09, 6.09003344e+09,\n",
       "       6.09016722e+09, 6.09030100e+09, 6.09043478e+09, 6.09056856e+09,\n",
       "...\n",
       "       6.10943144e+09, 6.10956522e+09, 6.10969900e+09, 6.10983278e+09,\n",
       "       6.10996656e+09, 6.11010033e+09, 6.11023411e+09, 6.11036789e+09,\n",
       "       6.11050167e+09, 6.11063545e+09, 6.11076923e+09, 6.11090301e+09,\n",
       "       6.11103679e+09, 6.11117057e+09, 6.11130435e+09, 6.11143813e+09,\n",
       "       6.11157191e+09, 6.11170569e+09, 6.11183946e+09, 6.11197324e+09,\n",
       "       6.11210702e+09, 6.11224080e+09, 6.11237458e+09, 6.11250836e+09,\n",
       "       6.11264214e+09, 6.11277592e+09, 6.11290970e+09, 6.11304348e+09,\n",
       "       6.11317726e+09, 6.11331104e+09, 6.11344482e+09, 6.11357860e+09,\n",
       "       6.11371237e+09, 6.11384615e+09, 6.11397993e+09, 6.11411371e+09,\n",
       "       6.11424749e+09, 6.11438127e+09, 6.11451505e+09, 6.11464883e+09,\n",
       "       6.11478261e+09, 6.11491639e+09, 6.11505017e+09, 6.11518395e+09,\n",
       "       6.11531773e+09, 6.11545151e+09, 6.11558528e+09, 6.11571906e+09,\n",
       "       6.11585284e+09, 6.11598662e+09, 6.11612040e+09, 6.11625418e+09,\n",
       "       6.11638796e+09, 6.11652174e+09, 6.11665552e+09, 6.11678930e+09,\n",
       "       6.11692308e+09, 6.11705686e+09, 6.11719064e+09, 6.11732441e+09,\n",
       "       6.11745819e+09, 6.11759197e+09, 6.11772575e+09, 6.11785953e+09,\n",
       "       6.11799331e+09, 6.11812709e+09, 6.11826087e+09, 6.11839465e+09,\n",
       "       6.11852843e+09, 6.11866221e+09, 6.11879599e+09, 6.11892977e+09,\n",
       "       6.11906355e+09, 6.11919732e+09, 6.11933110e+09, 6.11946488e+09,\n",
       "       6.11959866e+09, 6.11973244e+09, 6.11986622e+09, 6.12000000e+09])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-050d1d32-1e3d-404c-b92e-44ffc11f27ea' class='xr-section-summary-in' type='checkbox'  checked><label for='section-050d1d32-1e3d-404c-b92e-44ffc11f27ea' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>y0</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-69f824f9-16b0-4eb8-b792-1275f681c999' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-69f824f9-16b0-4eb8-b792-1275f681c999' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ed9b2f8-364c-4c0a-bdad-e1cdf8d3decf' class='xr-var-data-in' type='checkbox'><label for='data-6ed9b2f8-364c-4c0a-bdad-e1cdf8d3decf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>magn</dd><dt><span>long_name :</span></dt><dd>Magnitude0</dd><dt><span>units :</span></dt><dd>V</dd><dt><span>batched :</span></dt><dd>True</dd><dt><span>batch_size :</span></dt><dd>1024</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>y1</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-ef3ec2bd-8488-4deb-ab12-b84f1e5a883e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ef3ec2bd-8488-4deb-ab12-b84f1e5a883e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-89b8eaaa-8f20-479b-823a-f4e05b1e7b62' class='xr-var-data-in' type='checkbox'><label for='data-89b8eaaa-8f20-479b-823a-f4e05b1e7b62' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>phase</dd><dt><span>long_name :</span></dt><dd>Phase0</dd><dt><span>units :</span></dt><dd>deg</dd><dt><span>batched :</span></dt><dd>True</dd><dt><span>batch_size :</span></dt><dd>1024</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4a854957-b17d-42de-adb8-2fffbb85cf66' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4a854957-b17d-42de-adb8-2fffbb85cf66' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-327f9a15-43cb-4b08-a16a-018ee30954a7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-327f9a15-43cb-4b08-a16a-018ee30954a7' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>tuid :</span></dt><dd>20231107-193011-548-2c03ad</dd><dt><span>name :</span></dt><dd>Two-tone</dd><dt><span>grid_2d :</span></dt><dd>False</dd><dt><span>grid_2d_uniformly_spaced :</span></dt><dd>False</dd><dt><span>1d_2_settables_uniformly_spaced :</span></dt><dd>False</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (dim_0: 300)\n",
       "Coordinates:\n",
       "    x0       (dim_0) float64 6.08e+09 6.08e+09 6.08e+09 ... 6.12e+09 6.12e+09\n",
       "Dimensions without coordinates: dim_0\n",
       "Data variables:\n",
       "    y0       (dim_0) float64 nan nan nan nan nan nan ... nan nan nan nan nan nan\n",
       "    y1       (dim_0) float64 nan nan nan nan nan nan ... nan nan nan nan nan nan\n",
       "Attributes:\n",
       "    tuid:                             20231107-193011-548-2c03ad\n",
       "    name:                             Two-tone\n",
       "    grid_2d:                          False\n",
       "    grid_2d_uniformly_spaced:         False\n",
       "    1d_2_settables_uniformly_spaced:  False"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "set_drive_attenuation(quantum_device, qubit, out_att=60)\n",
    "\n",
    "quantum_device.cfg_sched_repetitions(300)\n",
    "center = 6.1e9\n",
    "frequency_setpoints = np.linspace(center - 20e6, center + 20e6, 300)\n",
    "meas_ctrl.settables(freq)\n",
    "meas_ctrl.setpoints(frequency_setpoints)\n",
    "\n",
    "qs_ds = meas_ctrl.run(\"Two-tone\")\n",
    "qs_ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "5821a975",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-11-07T18:30:12.261943Z",
     "iopub.status.busy": "2023-11-07T18:30:12.260943Z",
     "iopub.status.idle": "2023-11-07T18:30:12.289651Z",
     "shell.execute_reply": "2023-11-07T18:30:12.288285Z"
    }
   },
   "outputs": [],
   "source": [
    "# If on dummy, override with old data for analysis\n",
    "if dev_id == \"dummy_cluster\":\n",
    "    qs_ds = dh.load_dataset(tuid=\"20230523-175716-868-8746ad\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "bb02fd44",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-11-07T18:30:12.294234Z",
     "iopub.status.busy": "2023-11-07T18:30:12.294234Z",
     "iopub.status.idle": "2023-11-07T18:30:13.168532Z",
     "shell.execute_reply": "2023-11-07T18:30:13.167041Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "qs_analysis = QubitSpectroscopyAnalysis(tuid=qs_ds.attrs[\"tuid\"], dataset=qs_ds)\n",
    "qs_analysis.run().display_figs_mpl()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "85129eaf",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-11-07T18:30:13.172697Z",
     "iopub.status.busy": "2023-11-07T18:30:13.172697Z",
     "iopub.status.idle": "2023-11-07T18:30:13.183912Z",
     "shell.execute_reply": "2023-11-07T18:30:13.182912Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "qubit.rxy\n",
      "=============\n",
      "amp180   = nan\n",
      "motzoi   = 0\n",
      "duration = 2e-08\n",
      "\n",
      "qubit.clock_freqs\n",
      "====================\n",
      "f01 = 5635062844.791333\n"
     ]
    }
   ],
   "source": [
    "qubit.clock_freqs.f01(qs_analysis.quantities_of_interest[\"frequency_01\"].nominal_value)\n",
    "\n",
    "show_drive_args(qubit)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "92b54dae",
   "metadata": {},
   "source": [
    "## Rabi oscillations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "238f3b56",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-11-07T18:30:13.188159Z",
     "iopub.status.busy": "2023-11-07T18:30:13.188159Z",
     "iopub.status.idle": "2023-11-07T18:30:13.199971Z",
     "shell.execute_reply": "2023-11-07T18:30:13.198738Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "rabi_sched_kwargs\n",
      "===============================\n",
      "pulse_amp      = pulse_amplitude\n",
      "pulse_duration = 2e-08\n",
      "frequency      = 5635062844.791333\n",
      "qubit          = qubit\n"
     ]
    }
   ],
   "source": [
    "pulse_amp = ManualParameter(name=\"pulse_amplitude\", unit=\"V\", label=\"amplitude\")\n",
    "pulse_amp.batched = True\n",
    "\n",
    "rabi_sched_kwargs = {\n",
    "    \"pulse_amp\": pulse_amp,\n",
    "    \"pulse_duration\": qubit.rxy.duration(),\n",
    "    \"frequency\": qubit.clock_freqs.f01(),\n",
    "    \"qubit\": qubit.name,\n",
    "}\n",
    "\n",
    "gettable = ScheduleGettable(\n",
    "    quantum_device,\n",
    "    schedule_function=rabi_sched,\n",
    "    schedule_kwargs=rabi_sched_kwargs,\n",
    "    batched=True,\n",
    ")\n",
    "\n",
    "meas_ctrl.gettables(gettable)\n",
    "\n",
    "show_args(rabi_sched_kwargs, title=\"rabi_sched_kwargs\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "bbcc3e44",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-11-07T18:30:13.204355Z",
     "iopub.status.busy": "2023-11-07T18:30:13.204355Z",
     "iopub.status.idle": "2023-11-07T18:30:13.668928Z",
     "shell.execute_reply": "2023-11-07T18:30:13.666920Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting batched measurement...\n",
      "Iterative settable(s) [outer loop(s)]:\n",
      "\t --- (None) --- \n",
      "Batched settable(s):\n",
      "\t pulse_amplitude \n",
      "Batch size limit: 200\n",
      "\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "fe26c712dff74e70a7521c3f775ba9a3",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Completed:   0%|           [ elapsed time: 00:00 | time left: ? ] it"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body[data-theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (dim_0: 200)\n",
       "Coordinates:\n",
       "    x0       (dim_0) float64 -0.14 -0.1386 -0.1372 ... 0.1372 0.1386 0.14\n",
       "Dimensions without coordinates: dim_0\n",
       "Data variables:\n",
       "    y0       (dim_0) float64 nan nan nan nan nan nan ... nan nan nan nan nan nan\n",
       "    y1       (dim_0) float64 nan nan nan nan nan nan ... nan nan nan nan nan nan\n",
       "Attributes:\n",
       "    tuid:                             20231107-193013-207-e6e540\n",
       "    name:                             Rabi\n",
       "    grid_2d:                          False\n",
       "    grid_2d_uniformly_spaced:         False\n",
       "    1d_2_settables_uniformly_spaced:  False</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-62d2161a-554e-489a-a25c-cc55a1bd9c29' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-62d2161a-554e-489a-a25c-cc55a1bd9c29' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>dim_0</span>: 200</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-2b2e5553-6815-4114-b45b-e8b60e84a7cf' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2b2e5553-6815-4114-b45b-e8b60e84a7cf' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>x0</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.14 -0.1386 ... 0.1386 0.14</div><input id='attrs-c6131206-6bc5-445d-a1f6-c48618a3b8df' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c6131206-6bc5-445d-a1f6-c48618a3b8df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e5c6e4ef-a663-4f9c-ad91-2d1db3cb3100' class='xr-var-data-in' type='checkbox'><label for='data-e5c6e4ef-a663-4f9c-ad91-2d1db3cb3100' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>pulse_amplitude</dd><dt><span>long_name :</span></dt><dd>amplitude</dd><dt><span>units :</span></dt><dd>V</dd><dt><span>batched :</span></dt><dd>True</dd></dl></div><div class='xr-var-data'><pre>array([-0.14      , -0.13859296, -0.13718593, -0.13577889, -0.13437186,\n",
       "       -0.13296482, -0.13155779, -0.13015075, -0.12874372, -0.12733668,\n",
       "       -0.12592965, -0.12452261, -0.12311558, -0.12170854, -0.12030151,\n",
       "       -0.11889447, -0.11748744, -0.1160804 , -0.11467337, -0.11326633,\n",
       "       -0.1118593 , -0.11045226, -0.10904523, -0.10763819, -0.10623116,\n",
       "       -0.10482412, -0.10341709, -0.10201005, -0.10060302, -0.09919598,\n",
       "       -0.09778894, -0.09638191, -0.09497487, -0.09356784, -0.0921608 ,\n",
       "       -0.09075377, -0.08934673, -0.0879397 , -0.08653266, -0.08512563,\n",
       "       -0.08371859, -0.08231156, -0.08090452, -0.07949749, -0.07809045,\n",
       "       -0.07668342, -0.07527638, -0.07386935, -0.07246231, -0.07105528,\n",
       "       -0.06964824, -0.06824121, -0.06683417, -0.06542714, -0.0640201 ,\n",
       "       -0.06261307, -0.06120603, -0.05979899, -0.05839196, -0.05698492,\n",
       "       -0.05557789, -0.05417085, -0.05276382, -0.05135678, -0.04994975,\n",
       "       -0.04854271, -0.04713568, -0.04572864, -0.04432161, -0.04291457,\n",
       "       -0.04150754, -0.0401005 , -0.03869347, -0.03728643, -0.0358794 ,\n",
       "       -0.03447236, -0.03306533, -0.03165829, -0.03025126, -0.02884422,\n",
       "       -0.02743719, -0.02603015, -0.02462312, -0.02321608, -0.02180905,\n",
       "       -0.02040201, -0.01899497, -0.01758794, -0.0161809 , -0.01477387,\n",
       "       -0.01336683, -0.0119598 , -0.01055276, -0.00914573, -0.00773869,\n",
       "       -0.00633166, -0.00492462, -0.00351759, -0.00211055, -0.00070352,\n",
       "        0.00070352,  0.00211055,  0.00351759,  0.00492462,  0.00633166,\n",
       "        0.00773869,  0.00914573,  0.01055276,  0.0119598 ,  0.01336683,\n",
       "        0.01477387,  0.0161809 ,  0.01758794,  0.01899497,  0.02040201,\n",
       "        0.02180905,  0.02321608,  0.02462312,  0.02603015,  0.02743719,\n",
       "        0.02884422,  0.03025126,  0.03165829,  0.03306533,  0.03447236,\n",
       "        0.0358794 ,  0.03728643,  0.03869347,  0.0401005 ,  0.04150754,\n",
       "        0.04291457,  0.04432161,  0.04572864,  0.04713568,  0.04854271,\n",
       "        0.04994975,  0.05135678,  0.05276382,  0.05417085,  0.05557789,\n",
       "        0.05698492,  0.05839196,  0.05979899,  0.06120603,  0.06261307,\n",
       "        0.0640201 ,  0.06542714,  0.06683417,  0.06824121,  0.06964824,\n",
       "        0.07105528,  0.07246231,  0.07386935,  0.07527638,  0.07668342,\n",
       "        0.07809045,  0.07949749,  0.08090452,  0.08231156,  0.08371859,\n",
       "        0.08512563,  0.08653266,  0.0879397 ,  0.08934673,  0.09075377,\n",
       "        0.0921608 ,  0.09356784,  0.09497487,  0.09638191,  0.09778894,\n",
       "        0.09919598,  0.10060302,  0.10201005,  0.10341709,  0.10482412,\n",
       "        0.10623116,  0.10763819,  0.10904523,  0.11045226,  0.1118593 ,\n",
       "        0.11326633,  0.11467337,  0.1160804 ,  0.11748744,  0.11889447,\n",
       "        0.12030151,  0.12170854,  0.12311558,  0.12452261,  0.12592965,\n",
       "        0.12733668,  0.12874372,  0.13015075,  0.13155779,  0.13296482,\n",
       "        0.13437186,  0.13577889,  0.13718593,  0.13859296,  0.14      ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-01ea87c7-d2b2-4c02-ac8a-2a2db3c58a67' class='xr-section-summary-in' type='checkbox'  checked><label for='section-01ea87c7-d2b2-4c02-ac8a-2a2db3c58a67' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>y0</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-cbace87f-4b09-4562-baf4-3e416afde0f0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cbace87f-4b09-4562-baf4-3e416afde0f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0cefdc20-0625-459f-955c-9ec10a3f5ecb' class='xr-var-data-in' type='checkbox'><label for='data-0cefdc20-0625-459f-955c-9ec10a3f5ecb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>I</dd><dt><span>long_name :</span></dt><dd>Voltage I0</dd><dt><span>units :</span></dt><dd>V</dd><dt><span>batched :</span></dt><dd>True</dd><dt><span>batch_size :</span></dt><dd>1024</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>y1</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-553b8440-ba19-473c-b019-30f23c1ccd30' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-553b8440-ba19-473c-b019-30f23c1ccd30' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f60db37c-1d3c-424a-8b8f-bce2238616b6' class='xr-var-data-in' type='checkbox'><label for='data-f60db37c-1d3c-424a-8b8f-bce2238616b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>Q</dd><dt><span>long_name :</span></dt><dd>Voltage Q0</dd><dt><span>units :</span></dt><dd>V</dd><dt><span>batched :</span></dt><dd>True</dd><dt><span>batch_size :</span></dt><dd>1024</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-735168ef-c3ba-436a-b694-a705b16c4a4d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-735168ef-c3ba-436a-b694-a705b16c4a4d' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-5cbb90d7-507f-404d-8b6a-f426b08630c8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5cbb90d7-507f-404d-8b6a-f426b08630c8' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>tuid :</span></dt><dd>20231107-193013-207-e6e540</dd><dt><span>name :</span></dt><dd>Rabi</dd><dt><span>grid_2d :</span></dt><dd>False</dd><dt><span>grid_2d_uniformly_spaced :</span></dt><dd>False</dd><dt><span>1d_2_settables_uniformly_spaced :</span></dt><dd>False</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (dim_0: 200)\n",
       "Coordinates:\n",
       "    x0       (dim_0) float64 -0.14 -0.1386 -0.1372 ... 0.1372 0.1386 0.14\n",
       "Dimensions without coordinates: dim_0\n",
       "Data variables:\n",
       "    y0       (dim_0) float64 nan nan nan nan nan nan ... nan nan nan nan nan nan\n",
       "    y1       (dim_0) float64 nan nan nan nan nan nan ... nan nan nan nan nan nan\n",
       "Attributes:\n",
       "    tuid:                             20231107-193013-207-e6e540\n",
       "    name:                             Rabi\n",
       "    grid_2d:                          False\n",
       "    grid_2d_uniformly_spaced:         False\n",
       "    1d_2_settables_uniformly_spaced:  False"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "set_drive_attenuation(quantum_device, qubit, out_att=18)\n",
    "\n",
    "quantum_device.cfg_sched_repetitions(400)\n",
    "\n",
    "amplitude_setpoints = np.linspace(-0.14, 0.14, 200)\n",
    "\n",
    "meas_ctrl.settables(pulse_amp)\n",
    "meas_ctrl.setpoints(amplitude_setpoints)\n",
    "\n",
    "rabi_ds = meas_ctrl.run(\"Rabi\")\n",
    "rabi_ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "d0def751",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-11-07T18:30:13.672920Z",
     "iopub.status.busy": "2023-11-07T18:30:13.672920Z",
     "iopub.status.idle": "2023-11-07T18:30:13.700149Z",
     "shell.execute_reply": "2023-11-07T18:30:13.698067Z"
    }
   },
   "outputs": [],
   "source": [
    "# If on dummy, override with old data for analysis\n",
    "if dev_id == \"dummy_cluster\":\n",
    "    rabi_ds = dh.load_dataset(tuid=\"20230508-125501-555-fe2542\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "d935905f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-11-07T18:30:13.703153Z",
     "iopub.status.busy": "2023-11-07T18:30:13.703153Z",
     "iopub.status.idle": "2023-11-07T18:30:14.507558Z",
     "shell.execute_reply": "2023-11-07T18:30:14.506541Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rabi_analysis = RabiAnalysis(tuid=rabi_ds.attrs[\"tuid\"], dataset=rabi_ds)\n",
    "rabi_analysis.run().display_figs_mpl()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "4cbd5316",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-11-07T18:30:14.512056Z",
     "iopub.status.busy": "2023-11-07T18:30:14.512056Z",
     "iopub.status.idle": "2023-11-07T18:30:14.523408Z",
     "shell.execute_reply": "2023-11-07T18:30:14.522017Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "qubit.rxy\n",
      "===========================\n",
      "amp180   = 0.09148424065242679\n",
      "motzoi   = 0\n",
      "duration = 2e-08\n",
      "\n",
      "qubit.clock_freqs\n",
      "====================\n",
      "f01 = 5635062844.791333\n"
     ]
    }
   ],
   "source": [
    "qubit.rxy.amp180(rabi_analysis.quantities_of_interest[\"Pi-pulse amplitude\"].nominal_value)\n",
    "show_drive_args(qubit)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "a199eca7",
   "metadata": {},
   "source": [
    "## Ramsey oscillations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "145dd470",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-11-07T18:30:14.527977Z",
     "iopub.status.busy": "2023-11-07T18:30:14.526958Z",
     "iopub.status.idle": "2023-11-07T18:30:14.538910Z",
     "shell.execute_reply": "2023-11-07T18:30:14.537775Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ramsey_sched_kwargs\n",
      "========================\n",
      "qubit               = qubit\n",
      "times               = tau\n",
      "artificial_detuning = 0.0\n"
     ]
    }
   ],
   "source": [
    "tau = ManualParameter(name=\"tau\", unit=\"s\", label=\"Time\")\n",
    "tau.batched = True\n",
    "\n",
    "ramsey_sched_kwargs = {\n",
    "    \"qubit\": qubit.name,\n",
    "    \"times\": tau,\n",
    "    \"artificial_detuning\": 0.0,\n",
    "}\n",
    "\n",
    "gettable = ScheduleGettable(\n",
    "    quantum_device,\n",
    "    schedule_function=ramsey_sched,\n",
    "    schedule_kwargs=ramsey_sched_kwargs,\n",
    "    real_imag=False,\n",
    "    batched=True,\n",
    ")\n",
    "meas_ctrl.gettables(gettable)\n",
    "show_args(ramsey_sched_kwargs, title=\"ramsey_sched_kwargs\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "83bfe9b3",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-11-07T18:30:14.543443Z",
     "iopub.status.busy": "2023-11-07T18:30:14.542437Z",
     "iopub.status.idle": "2023-11-07T18:30:14.947226Z",
     "shell.execute_reply": "2023-11-07T18:30:14.945707Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting batched measurement...\n",
      "Iterative settable(s) [outer loop(s)]:\n",
      "\t --- (None) --- \n",
      "Batched settable(s):\n",
      "\t tau \n",
      "Batch size limit: 100\n",
      "\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "4f61d345bec948498d774b36204ba6c4",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Completed:   0%|           [ elapsed time: 00:00 | time left: ? ] it"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body[data-theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (dim_0: 100)\n",
       "Coordinates:\n",
       "    x0       (dim_0) float64 2e-08 6e-08 1e-07 ... 3.9e-06 3.94e-06 3.98e-06\n",
       "Dimensions without coordinates: dim_0\n",
       "Data variables:\n",
       "    y0       (dim_0) float64 nan nan nan nan nan nan ... nan nan nan nan nan nan\n",
       "    y1       (dim_0) float64 nan nan nan nan nan nan ... nan nan nan nan nan nan\n",
       "Attributes:\n",
       "    tuid:                             20231107-193014-546-ecc5c2\n",
       "    name:                             ramsey\n",
       "    grid_2d:                          False\n",
       "    grid_2d_uniformly_spaced:         False\n",
       "    1d_2_settables_uniformly_spaced:  False</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-e50d7f62-0489-49a7-86c5-183fc24610ec' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e50d7f62-0489-49a7-86c5-183fc24610ec' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>dim_0</span>: 100</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-734376f4-bf38-4dfb-9e8a-e9fa6449702e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-734376f4-bf38-4dfb-9e8a-e9fa6449702e' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>x0</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2e-08 6e-08 ... 3.94e-06 3.98e-06</div><input id='attrs-0bf33402-d408-432b-a68f-a8f27d801259' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0bf33402-d408-432b-a68f-a8f27d801259' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3aa2e2e8-fa47-419b-9f0b-ca037a0ea7e7' class='xr-var-data-in' type='checkbox'><label for='data-3aa2e2e8-fa47-419b-9f0b-ca037a0ea7e7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>tau</dd><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>units :</span></dt><dd>s</dd><dt><span>batched :</span></dt><dd>True</dd></dl></div><div class='xr-var-data'><pre>array([2.00e-08, 6.00e-08, 1.00e-07, 1.40e-07, 1.80e-07, 2.20e-07,\n",
       "       2.60e-07, 3.00e-07, 3.40e-07, 3.80e-07, 4.20e-07, 4.60e-07,\n",
       "       5.00e-07, 5.40e-07, 5.80e-07, 6.20e-07, 6.60e-07, 7.00e-07,\n",
       "       7.40e-07, 7.80e-07, 8.20e-07, 8.60e-07, 9.00e-07, 9.40e-07,\n",
       "       9.80e-07, 1.02e-06, 1.06e-06, 1.10e-06, 1.14e-06, 1.18e-06,\n",
       "       1.22e-06, 1.26e-06, 1.30e-06, 1.34e-06, 1.38e-06, 1.42e-06,\n",
       "       1.46e-06, 1.50e-06, 1.54e-06, 1.58e-06, 1.62e-06, 1.66e-06,\n",
       "       1.70e-06, 1.74e-06, 1.78e-06, 1.82e-06, 1.86e-06, 1.90e-06,\n",
       "       1.94e-06, 1.98e-06, 2.02e-06, 2.06e-06, 2.10e-06, 2.14e-06,\n",
       "       2.18e-06, 2.22e-06, 2.26e-06, 2.30e-06, 2.34e-06, 2.38e-06,\n",
       "       2.42e-06, 2.46e-06, 2.50e-06, 2.54e-06, 2.58e-06, 2.62e-06,\n",
       "       2.66e-06, 2.70e-06, 2.74e-06, 2.78e-06, 2.82e-06, 2.86e-06,\n",
       "       2.90e-06, 2.94e-06, 2.98e-06, 3.02e-06, 3.06e-06, 3.10e-06,\n",
       "       3.14e-06, 3.18e-06, 3.22e-06, 3.26e-06, 3.30e-06, 3.34e-06,\n",
       "       3.38e-06, 3.42e-06, 3.46e-06, 3.50e-06, 3.54e-06, 3.58e-06,\n",
       "       3.62e-06, 3.66e-06, 3.70e-06, 3.74e-06, 3.78e-06, 3.82e-06,\n",
       "       3.86e-06, 3.90e-06, 3.94e-06, 3.98e-06])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7bc160d6-a2bd-46e9-958e-0c8291882ba3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7bc160d6-a2bd-46e9-958e-0c8291882ba3' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>y0</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-625cb912-4ecb-4c13-aa0f-3471b36f79da' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-625cb912-4ecb-4c13-aa0f-3471b36f79da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-429ce96f-5434-40a1-85f8-d2741e7c32b4' class='xr-var-data-in' type='checkbox'><label for='data-429ce96f-5434-40a1-85f8-d2741e7c32b4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>magn</dd><dt><span>long_name :</span></dt><dd>Magnitude0</dd><dt><span>units :</span></dt><dd>V</dd><dt><span>batched :</span></dt><dd>True</dd><dt><span>batch_size :</span></dt><dd>1024</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>y1</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-14b99171-59f5-49d6-9f89-f3c92b23d7c6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-14b99171-59f5-49d6-9f89-f3c92b23d7c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e01b8369-79a6-4667-acc0-3c2c573eb64a' class='xr-var-data-in' type='checkbox'><label for='data-e01b8369-79a6-4667-acc0-3c2c573eb64a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>phase</dd><dt><span>long_name :</span></dt><dd>Phase0</dd><dt><span>units :</span></dt><dd>deg</dd><dt><span>batched :</span></dt><dd>True</dd><dt><span>batch_size :</span></dt><dd>1024</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-54b00f92-2437-4643-8cc8-5389baf521c8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-54b00f92-2437-4643-8cc8-5389baf521c8' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-6343eaa2-3cc3-4b1b-a516-9a26faea7587' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6343eaa2-3cc3-4b1b-a516-9a26faea7587' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>tuid :</span></dt><dd>20231107-193014-546-ecc5c2</dd><dt><span>name :</span></dt><dd>ramsey</dd><dt><span>grid_2d :</span></dt><dd>False</dd><dt><span>grid_2d_uniformly_spaced :</span></dt><dd>False</dd><dt><span>1d_2_settables_uniformly_spaced :</span></dt><dd>False</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (dim_0: 100)\n",
       "Coordinates:\n",
       "    x0       (dim_0) float64 2e-08 6e-08 1e-07 ... 3.9e-06 3.94e-06 3.98e-06\n",
       "Dimensions without coordinates: dim_0\n",
       "Data variables:\n",
       "    y0       (dim_0) float64 nan nan nan nan nan nan ... nan nan nan nan nan nan\n",
       "    y1       (dim_0) float64 nan nan nan nan nan nan ... nan nan nan nan nan nan\n",
       "Attributes:\n",
       "    tuid:                             20231107-193014-546-ecc5c2\n",
       "    name:                             ramsey\n",
       "    grid_2d:                          False\n",
       "    grid_2d_uniformly_spaced:         False\n",
       "    1d_2_settables_uniformly_spaced:  False"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tau_setpoints = np.arange(20e-9, 4e-6, 40e-9)\n",
    "\n",
    "meas_ctrl.settables(tau)\n",
    "meas_ctrl.setpoints(tau_setpoints)\n",
    "\n",
    "quantum_device.cfg_sched_repetitions(500)\n",
    "ramsey_ds = meas_ctrl.run(\"ramsey\")\n",
    "ramsey_ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "1f676e59",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-11-07T18:30:14.952807Z",
     "iopub.status.busy": "2023-11-07T18:30:14.951802Z",
     "iopub.status.idle": "2023-11-07T18:30:14.978392Z",
     "shell.execute_reply": "2023-11-07T18:30:14.977039Z"
    }
   },
   "outputs": [],
   "source": [
    "# If on dummy, override with old data for analysis\n",
    "if dev_id == \"dummy_cluster\":\n",
    "    ramsey_ds = dh.load_dataset(tuid=\"20230523-123745-377-d21d2c\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "bcd427fa",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-11-07T18:30:14.982108Z",
     "iopub.status.busy": "2023-11-07T18:30:14.981103Z",
     "iopub.status.idle": "2023-11-07T18:30:15.793308Z",
     "shell.execute_reply": "2023-11-07T18:30:15.792281Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ramsey_analysis = RamseyAnalysis(tuid=ramsey_ds.attrs[\"tuid\"], dataset=ramsey_ds)\n",
    "ramsey_analysis.run(\n",
    "    artificial_detuning=ramsey_sched_kwargs[\"artificial_detuning\"]\n",
    ").display_figs_mpl()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "b948a013",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-11-07T18:30:15.798991Z",
     "iopub.status.busy": "2023-11-07T18:30:15.797731Z",
     "iopub.status.idle": "2023-11-07T18:30:15.809146Z",
     "shell.execute_reply": "2023-11-07T18:30:15.808145Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "qubit.rxy\n",
      "===========================\n",
      "amp180   = 0.09148424065242679\n",
      "motzoi   = 0\n",
      "duration = 2e-08\n",
      "\n",
      "qubit.clock_freqs\n",
      "====================\n",
      "f01 = 5635941690.431435\n"
     ]
    }
   ],
   "source": [
    "qubit.clock_freqs.f01(\n",
    "    qubit.clock_freqs.f01() + ramsey_analysis.quantities_of_interest[\"detuning\"].nominal_value\n",
    ")\n",
    "show_drive_args(qubit)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "76de4426",
   "metadata": {},
   "source": [
    "## T1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "10d07fc6",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-11-07T18:30:15.813656Z",
     "iopub.status.busy": "2023-11-07T18:30:15.813656Z",
     "iopub.status.idle": "2023-11-07T18:30:15.825278Z",
     "shell.execute_reply": "2023-11-07T18:30:15.824201Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "t1_sched_kwargs\n",
      "==============\n",
      "qubit = qubit\n",
      "times = tau_delay\n"
     ]
    }
   ],
   "source": [
    "tau = ManualParameter(name=\"tau_delay\", unit=\"s\", label=\"Delay\")\n",
    "tau.batched = True\n",
    "\n",
    "t1_sched_kwargs = {\"qubit\": qubit.name, \"times\": tau}\n",
    "\n",
    "gettable = ScheduleGettable(\n",
    "    quantum_device,\n",
    "    schedule_function=t1_sched,\n",
    "    schedule_kwargs=t1_sched_kwargs,\n",
    "    real_imag=False,\n",
    "    batched=True,\n",
    ")\n",
    "meas_ctrl.gettables(gettable)\n",
    "\n",
    "show_args(t1_sched_kwargs, title=\"t1_sched_kwargs\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "ac69016e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-11-07T18:30:15.829297Z",
     "iopub.status.busy": "2023-11-07T18:30:15.829297Z",
     "iopub.status.idle": "2023-11-07T18:30:16.458602Z",
     "shell.execute_reply": "2023-11-07T18:30:16.457596Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting batched measurement...\n",
      "Iterative settable(s) [outer loop(s)]:\n",
      "\t --- (None) --- \n",
      "Batched settable(s):\n",
      "\t tau_delay \n",
      "Batch size limit: 400\n",
      "\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "40fca6bc06a849a0b3adee5d92786e37",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Completed:   0%|           [ elapsed time: 00:00 | time left: ? ] it"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body[data-theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (dim_0: 400)\n",
       "Coordinates:\n",
       "    x0       (dim_0) float64 4e-08 5.4e-07 1.04e-06 ... 0.000199 0.0001995\n",
       "Dimensions without coordinates: dim_0\n",
       "Data variables:\n",
       "    y0       (dim_0) float64 nan nan nan nan nan nan ... nan nan nan nan nan nan\n",
       "    y1       (dim_0) float64 nan nan nan nan nan nan ... nan nan nan nan nan nan\n",
       "Attributes:\n",
       "    tuid:                             20231107-193015-832-a30b90\n",
       "    name:                             T1 experiment\n",
       "    grid_2d:                          False\n",
       "    grid_2d_uniformly_spaced:         False\n",
       "    1d_2_settables_uniformly_spaced:  False</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-5dab9d0c-8d42-44df-a0eb-d0dcf32eca58' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5dab9d0c-8d42-44df-a0eb-d0dcf32eca58' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>dim_0</span>: 400</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-c267ff74-9813-41e8-b99a-2e17c3596613' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c267ff74-9813-41e8-b99a-2e17c3596613' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>x0</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4e-08 5.4e-07 ... 0.0001995</div><input id='attrs-3915886d-98b3-4fe4-bdbf-ce82771a6890' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3915886d-98b3-4fe4-bdbf-ce82771a6890' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c6b7d1cc-9356-4d66-9887-74460b631c9d' class='xr-var-data-in' type='checkbox'><label for='data-c6b7d1cc-9356-4d66-9887-74460b631c9d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>tau_delay</dd><dt><span>long_name :</span></dt><dd>Delay</dd><dt><span>units :</span></dt><dd>s</dd><dt><span>batched :</span></dt><dd>True</dd></dl></div><div class='xr-var-data'><pre>array([4.0000e-08, 5.4000e-07, 1.0400e-06, 1.5400e-06, 2.0400e-06,\n",
       "       2.5400e-06, 3.0400e-06, 3.5400e-06, 4.0400e-06, 4.5400e-06,\n",
       "       5.0400e-06, 5.5400e-06, 6.0400e-06, 6.5400e-06, 7.0400e-06,\n",
       "       7.5400e-06, 8.0400e-06, 8.5400e-06, 9.0400e-06, 9.5400e-06,\n",
       "       1.0040e-05, 1.0540e-05, 1.1040e-05, 1.1540e-05, 1.2040e-05,\n",
       "       1.2540e-05, 1.3040e-05, 1.3540e-05, 1.4040e-05, 1.4540e-05,\n",
       "       1.5040e-05, 1.5540e-05, 1.6040e-05, 1.6540e-05, 1.7040e-05,\n",
       "       1.7540e-05, 1.8040e-05, 1.8540e-05, 1.9040e-05, 1.9540e-05,\n",
       "       2.0040e-05, 2.0540e-05, 2.1040e-05, 2.1540e-05, 2.2040e-05,\n",
       "       2.2540e-05, 2.3040e-05, 2.3540e-05, 2.4040e-05, 2.4540e-05,\n",
       "       2.5040e-05, 2.5540e-05, 2.6040e-05, 2.6540e-05, 2.7040e-05,\n",
       "       2.7540e-05, 2.8040e-05, 2.8540e-05, 2.9040e-05, 2.9540e-05,\n",
       "       3.0040e-05, 3.0540e-05, 3.1040e-05, 3.1540e-05, 3.2040e-05,\n",
       "       3.2540e-05, 3.3040e-05, 3.3540e-05, 3.4040e-05, 3.4540e-05,\n",
       "       3.5040e-05, 3.5540e-05, 3.6040e-05, 3.6540e-05, 3.7040e-05,\n",
       "       3.7540e-05, 3.8040e-05, 3.8540e-05, 3.9040e-05, 3.9540e-05,\n",
       "       4.0040e-05, 4.0540e-05, 4.1040e-05, 4.1540e-05, 4.2040e-05,\n",
       "       4.2540e-05, 4.3040e-05, 4.3540e-05, 4.4040e-05, 4.4540e-05,\n",
       "       4.5040e-05, 4.5540e-05, 4.6040e-05, 4.6540e-05, 4.7040e-05,\n",
       "       4.7540e-05, 4.8040e-05, 4.8540e-05, 4.9040e-05, 4.9540e-05,\n",
       "...\n",
       "       1.5004e-04, 1.5054e-04, 1.5104e-04, 1.5154e-04, 1.5204e-04,\n",
       "       1.5254e-04, 1.5304e-04, 1.5354e-04, 1.5404e-04, 1.5454e-04,\n",
       "       1.5504e-04, 1.5554e-04, 1.5604e-04, 1.5654e-04, 1.5704e-04,\n",
       "       1.5754e-04, 1.5804e-04, 1.5854e-04, 1.5904e-04, 1.5954e-04,\n",
       "       1.6004e-04, 1.6054e-04, 1.6104e-04, 1.6154e-04, 1.6204e-04,\n",
       "       1.6254e-04, 1.6304e-04, 1.6354e-04, 1.6404e-04, 1.6454e-04,\n",
       "       1.6504e-04, 1.6554e-04, 1.6604e-04, 1.6654e-04, 1.6704e-04,\n",
       "       1.6754e-04, 1.6804e-04, 1.6854e-04, 1.6904e-04, 1.6954e-04,\n",
       "       1.7004e-04, 1.7054e-04, 1.7104e-04, 1.7154e-04, 1.7204e-04,\n",
       "       1.7254e-04, 1.7304e-04, 1.7354e-04, 1.7404e-04, 1.7454e-04,\n",
       "       1.7504e-04, 1.7554e-04, 1.7604e-04, 1.7654e-04, 1.7704e-04,\n",
       "       1.7754e-04, 1.7804e-04, 1.7854e-04, 1.7904e-04, 1.7954e-04,\n",
       "       1.8004e-04, 1.8054e-04, 1.8104e-04, 1.8154e-04, 1.8204e-04,\n",
       "       1.8254e-04, 1.8304e-04, 1.8354e-04, 1.8404e-04, 1.8454e-04,\n",
       "       1.8504e-04, 1.8554e-04, 1.8604e-04, 1.8654e-04, 1.8704e-04,\n",
       "       1.8754e-04, 1.8804e-04, 1.8854e-04, 1.8904e-04, 1.8954e-04,\n",
       "       1.9004e-04, 1.9054e-04, 1.9104e-04, 1.9154e-04, 1.9204e-04,\n",
       "       1.9254e-04, 1.9304e-04, 1.9354e-04, 1.9404e-04, 1.9454e-04,\n",
       "       1.9504e-04, 1.9554e-04, 1.9604e-04, 1.9654e-04, 1.9704e-04,\n",
       "       1.9754e-04, 1.9804e-04, 1.9854e-04, 1.9904e-04, 1.9954e-04])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-521f9c84-d817-411c-8482-1b93f3e1ce4f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-521f9c84-d817-411c-8482-1b93f3e1ce4f' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>y0</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-11a5a9e7-99d4-4d16-8fa8-0fdc5d765425' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-11a5a9e7-99d4-4d16-8fa8-0fdc5d765425' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8afbd5f8-8ee6-4462-bb72-1ac87fe86ea5' class='xr-var-data-in' type='checkbox'><label for='data-8afbd5f8-8ee6-4462-bb72-1ac87fe86ea5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>magn</dd><dt><span>long_name :</span></dt><dd>Magnitude0</dd><dt><span>units :</span></dt><dd>V</dd><dt><span>batched :</span></dt><dd>True</dd><dt><span>batch_size :</span></dt><dd>1024</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>y1</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-9de91d79-294c-446e-883d-0156a4b3c351' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9de91d79-294c-446e-883d-0156a4b3c351' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0179093-7a39-4889-b96f-51be20cc23d9' class='xr-var-data-in' type='checkbox'><label for='data-b0179093-7a39-4889-b96f-51be20cc23d9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>phase</dd><dt><span>long_name :</span></dt><dd>Phase0</dd><dt><span>units :</span></dt><dd>deg</dd><dt><span>batched :</span></dt><dd>True</dd><dt><span>batch_size :</span></dt><dd>1024</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f80ee78a-822d-4fd4-b6c7-e561d08f86bb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f80ee78a-822d-4fd4-b6c7-e561d08f86bb' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-b2fb6c6d-ce34-413f-a735-553882a0b49e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b2fb6c6d-ce34-413f-a735-553882a0b49e' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>tuid :</span></dt><dd>20231107-193015-832-a30b90</dd><dt><span>name :</span></dt><dd>T1 experiment</dd><dt><span>grid_2d :</span></dt><dd>False</dd><dt><span>grid_2d_uniformly_spaced :</span></dt><dd>False</dd><dt><span>1d_2_settables_uniformly_spaced :</span></dt><dd>False</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (dim_0: 400)\n",
       "Coordinates:\n",
       "    x0       (dim_0) float64 4e-08 5.4e-07 1.04e-06 ... 0.000199 0.0001995\n",
       "Dimensions without coordinates: dim_0\n",
       "Data variables:\n",
       "    y0       (dim_0) float64 nan nan nan nan nan nan ... nan nan nan nan nan nan\n",
       "    y1       (dim_0) float64 nan nan nan nan nan nan ... nan nan nan nan nan nan\n",
       "Attributes:\n",
       "    tuid:                             20231107-193015-832-a30b90\n",
       "    name:                             T1 experiment\n",
       "    grid_2d:                          False\n",
       "    grid_2d_uniformly_spaced:         False\n",
       "    1d_2_settables_uniformly_spaced:  False"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "delay_setpoints = np.arange(40e-9, 200e-6, 500e-9)\n",
    "\n",
    "meas_ctrl.settables(tau)\n",
    "meas_ctrl.setpoints(delay_setpoints)\n",
    "\n",
    "quantum_device.cfg_sched_repetitions(300)\n",
    "t1_ds = meas_ctrl.run(\"T1 experiment\")\n",
    "t1_ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "7851b43b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-11-07T18:30:16.464882Z",
     "iopub.status.busy": "2023-11-07T18:30:16.463870Z",
     "iopub.status.idle": "2023-11-07T18:30:16.489572Z",
     "shell.execute_reply": "2023-11-07T18:30:16.488285Z"
    }
   },
   "outputs": [],
   "source": [
    "# If on dummy, override with old data for analysis\n",
    "if dev_id == \"dummy_cluster\":\n",
    "    t1_ds = dh.load_dataset(tuid=\"20230309-234522-242-193e69\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "458ebc49",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-11-07T18:30:16.494098Z",
     "iopub.status.busy": "2023-11-07T18:30:16.493588Z",
     "iopub.status.idle": "2023-11-07T18:30:17.288314Z",
     "shell.execute_reply": "2023-11-07T18:30:17.287315Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "t1_analysis = T1Analysis(tuid=t1_ds.attrs[\"tuid\"], dataset=t1_ds)\n",
    "t1_analysis.run().display_figs_mpl()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "db6e83cd",
   "metadata": {},
   "source": [
    "## Sweetspot experiments\n",
    "\n",
    "A flux-tunable qubit is a qubit where the qubit frequency can be altered by changing a magnetic field piercing the circuit.\n",
    "\n",
    "Here we consider two 2D experiments for finding the flux sweetspot of a flux-tunable qubit. The experiments are:\n",
    "1. Resonator-flux spectroscopy\n",
    "    - Used to find the flux sweetspot when the qubit is in $|0\\rangle$.\n",
    "    - Resonator spectroscopy as a function of applied external flux.\n",
    "2. Qubit-flux spectroscopy (a.k.a two-tone)\n",
    "    - Used to find the flux sweetspot when the qubit is excited.\n",
    "    - Qubit spectroscopy as a function of applied external flux."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "2c750e1a",
   "metadata": {},
   "source": [
    "### Resonator-flux spectroscopy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "9edebbd1",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-11-07T18:30:17.291316Z",
     "iopub.status.busy": "2023-11-07T18:30:17.291316Z",
     "iopub.status.idle": "2023-11-07T18:30:17.302838Z",
     "shell.execute_reply": "2023-11-07T18:30:17.302838Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "spec_sched_kwargs\n",
      "=====================================\n",
      "pulse_amp         = 0.041666666666666664\n",
      "pulse_duration    = 2e-06\n",
      "frequencies       = freq\n",
      "acquisition_delay = 8e-08\n",
      "integration_time  = 2e-06\n",
      "init_duration     = 0.0002\n",
      "port              = qubit:res\n",
      "clock             = qubit.ro\n"
     ]
    }
   ],
   "source": [
    "freq = ManualParameter(name=\"freq\", unit=\"Hz\", label=\"Frequency\")\n",
    "freq.batched = True\n",
    "freq.batch_size = 100\n",
    "\n",
    "spec_sched_kwargs = dict(\n",
    "    pulse_amp=0.25 / 6,\n",
    "    pulse_duration=2e-6,\n",
    "    frequencies=freq,\n",
    "    acquisition_delay=80e-9,\n",
    "    integration_time=2e-6,\n",
    "    init_duration=200e-6,\n",
    "    port=qubit.ports.readout(),\n",
    "    clock=qubit.name + \".ro\",\n",
    ")\n",
    "gettable = ScheduleGettable(\n",
    "    quantum_device,\n",
    "    schedule_function=heterodyne_spec_sched_nco,\n",
    "    schedule_kwargs=spec_sched_kwargs,\n",
    "    real_imag=False,\n",
    "    batched=True,\n",
    ")\n",
    "\n",
    "meas_ctrl.gettables(gettable)\n",
    "show_args(spec_sched_kwargs, title=\"spec_sched_kwargs\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "f58b0906",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-11-07T18:30:17.308380Z",
     "iopub.status.busy": "2023-11-07T18:30:17.308380Z",
     "iopub.status.idle": "2023-11-07T18:30:18.898495Z",
     "shell.execute_reply": "2023-11-07T18:30:18.897180Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting batched measurement...\n",
      "Iterative settable(s) [outer loop(s)]:\n",
      "\t out0_offset \n",
      "Batched settable(s):\n",
      "\t freq \n",
      "Batch size limit: 100\n",
      "\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a67f99c00dde455f8ca0cc9bdb1c4c3d",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Completed:   0%|           [ elapsed time: 00:00 | time left: ? ] it"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body[data-theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (dim_0: 900)\n",
       "Coordinates:\n",
       "    x0       (dim_0) float64 7.68e+09 7.68e+09 7.68e+09 ... 7.72e+09 7.72e+09\n",
       "    x1       (dim_0) float64 0.0 0.0 0.0 0.0 0.0 0.0 ... 1.0 1.0 1.0 1.0 1.0 1.0\n",
       "Dimensions without coordinates: dim_0\n",
       "Data variables:\n",
       "    y0       (dim_0) float64 nan nan nan nan nan nan ... nan nan nan nan nan nan\n",
       "    y1       (dim_0) float64 nan nan nan nan nan nan ... nan nan nan nan nan nan\n",
       "Attributes:\n",
       "    tuid:                             20231107-193017-315-05afb3\n",
       "    name:                             resonator flux spectroscopy\n",
       "    grid_2d:                          True\n",
       "    grid_2d_uniformly_spaced:         True\n",
       "    1d_2_settables_uniformly_spaced:  False\n",
       "    xlen:                             300\n",
       "    ylen:                             3</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-0fcb9d7b-2fec-4acb-8f1e-87d818d9d8e9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0fcb9d7b-2fec-4acb-8f1e-87d818d9d8e9' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>dim_0</span>: 900</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-a5caf123-0d8a-44ea-a6fe-d41b9856ee11' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a5caf123-0d8a-44ea-a6fe-d41b9856ee11' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>x0</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.68e+09 7.68e+09 ... 7.72e+09</div><input id='attrs-dd959906-399f-4c40-91b1-356c8548e7d3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dd959906-399f-4c40-91b1-356c8548e7d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-79596ee3-5551-4d96-a35e-4db66cda1b12' class='xr-var-data-in' type='checkbox'><label for='data-79596ee3-5551-4d96-a35e-4db66cda1b12' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>freq</dd><dt><span>long_name :</span></dt><dd>Frequency</dd><dt><span>units :</span></dt><dd>Hz</dd><dt><span>batched :</span></dt><dd>True</dd><dt><span>batch_size :</span></dt><dd>100</dd></dl></div><div class='xr-var-data'><pre>array([7.68000000e+09, 7.68013378e+09, 7.68026756e+09, 7.68040134e+09,\n",
       "       7.68053512e+09, 7.68066890e+09, 7.68080268e+09, 7.68093645e+09,\n",
       "       7.68107023e+09, 7.68120401e+09, 7.68133779e+09, 7.68147157e+09,\n",
       "       7.68160535e+09, 7.68173913e+09, 7.68187291e+09, 7.68200669e+09,\n",
       "       7.68214047e+09, 7.68227425e+09, 7.68240803e+09, 7.68254181e+09,\n",
       "       7.68267559e+09, 7.68280936e+09, 7.68294314e+09, 7.68307692e+09,\n",
       "       7.68321070e+09, 7.68334448e+09, 7.68347826e+09, 7.68361204e+09,\n",
       "       7.68374582e+09, 7.68387960e+09, 7.68401338e+09, 7.68414716e+09,\n",
       "       7.68428094e+09, 7.68441472e+09, 7.68454849e+09, 7.68468227e+09,\n",
       "       7.68481605e+09, 7.68494983e+09, 7.68508361e+09, 7.68521739e+09,\n",
       "       7.68535117e+09, 7.68548495e+09, 7.68561873e+09, 7.68575251e+09,\n",
       "       7.68588629e+09, 7.68602007e+09, 7.68615385e+09, 7.68628763e+09,\n",
       "       7.68642140e+09, 7.68655518e+09, 7.68668896e+09, 7.68682274e+09,\n",
       "       7.68695652e+09, 7.68709030e+09, 7.68722408e+09, 7.68735786e+09,\n",
       "       7.68749164e+09, 7.68762542e+09, 7.68775920e+09, 7.68789298e+09,\n",
       "       7.68802676e+09, 7.68816054e+09, 7.68829431e+09, 7.68842809e+09,\n",
       "       7.68856187e+09, 7.68869565e+09, 7.68882943e+09, 7.68896321e+09,\n",
       "       7.68909699e+09, 7.68923077e+09, 7.68936455e+09, 7.68949833e+09,\n",
       "       7.68963211e+09, 7.68976589e+09, 7.68989967e+09, 7.69003344e+09,\n",
       "       7.69016722e+09, 7.69030100e+09, 7.69043478e+09, 7.69056856e+09,\n",
       "...\n",
       "       7.70943144e+09, 7.70956522e+09, 7.70969900e+09, 7.70983278e+09,\n",
       "       7.70996656e+09, 7.71010033e+09, 7.71023411e+09, 7.71036789e+09,\n",
       "       7.71050167e+09, 7.71063545e+09, 7.71076923e+09, 7.71090301e+09,\n",
       "       7.71103679e+09, 7.71117057e+09, 7.71130435e+09, 7.71143813e+09,\n",
       "       7.71157191e+09, 7.71170569e+09, 7.71183946e+09, 7.71197324e+09,\n",
       "       7.71210702e+09, 7.71224080e+09, 7.71237458e+09, 7.71250836e+09,\n",
       "       7.71264214e+09, 7.71277592e+09, 7.71290970e+09, 7.71304348e+09,\n",
       "       7.71317726e+09, 7.71331104e+09, 7.71344482e+09, 7.71357860e+09,\n",
       "       7.71371237e+09, 7.71384615e+09, 7.71397993e+09, 7.71411371e+09,\n",
       "       7.71424749e+09, 7.71438127e+09, 7.71451505e+09, 7.71464883e+09,\n",
       "       7.71478261e+09, 7.71491639e+09, 7.71505017e+09, 7.71518395e+09,\n",
       "       7.71531773e+09, 7.71545151e+09, 7.71558528e+09, 7.71571906e+09,\n",
       "       7.71585284e+09, 7.71598662e+09, 7.71612040e+09, 7.71625418e+09,\n",
       "       7.71638796e+09, 7.71652174e+09, 7.71665552e+09, 7.71678930e+09,\n",
       "       7.71692308e+09, 7.71705686e+09, 7.71719064e+09, 7.71732441e+09,\n",
       "       7.71745819e+09, 7.71759197e+09, 7.71772575e+09, 7.71785953e+09,\n",
       "       7.71799331e+09, 7.71812709e+09, 7.71826087e+09, 7.71839465e+09,\n",
       "       7.71852843e+09, 7.71866221e+09, 7.71879599e+09, 7.71892977e+09,\n",
       "       7.71906355e+09, 7.71919732e+09, 7.71933110e+09, 7.71946488e+09,\n",
       "       7.71959866e+09, 7.71973244e+09, 7.71986622e+09, 7.72000000e+09])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x1</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 1.0 1.0 1.0 1.0</div><input id='attrs-26d8c940-353e-4507-a95b-e699dff51411' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-26d8c940-353e-4507-a95b-e699dff51411' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b2d0a2e-e959-4b23-9a24-615599e27027' class='xr-var-data-in' type='checkbox'><label for='data-7b2d0a2e-e959-4b23-9a24-615599e27027' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>cluster0.module2.out0_offset</dd><dt><span>long_name :</span></dt><dd>cluster0 module2 Output 0 offset</dd><dt><span>units :</span></dt><dd>V</dd><dt><span>batched :</span></dt><dd>False</dd></dl></div><div class='xr-var-data'><pre>array([0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ,\n",
       "       0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ,\n",
       "       0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ,\n",
       "       0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ,\n",
       "       0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ,\n",
       "       0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ,\n",
       "       0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ,\n",
       "       0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ,\n",
       "       0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ,\n",
       "       0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ,\n",
       "       0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ,\n",
       "       0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ,\n",
       "       0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ,\n",
       "       0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ,\n",
       "       0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ,\n",
       "       0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ,\n",
       "       0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ,\n",
       "       0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ,\n",
       "       0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ,\n",
       "       0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ,\n",
       "...\n",
       "       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. ,\n",
       "       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. ,\n",
       "       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. ,\n",
       "       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. ,\n",
       "       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. ,\n",
       "       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. ,\n",
       "       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. ,\n",
       "       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. ,\n",
       "       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. ,\n",
       "       1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. ,\n",
       "       1. , 1. , 1. ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-45e7a342-48ac-4de4-b26d-361b74f14d65' class='xr-section-summary-in' type='checkbox'  checked><label for='section-45e7a342-48ac-4de4-b26d-361b74f14d65' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>y0</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-527d02c2-9207-4d72-8490-e89158a657ba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-527d02c2-9207-4d72-8490-e89158a657ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-29a22c2d-581f-409a-897f-cc92f7e42533' class='xr-var-data-in' type='checkbox'><label for='data-29a22c2d-581f-409a-897f-cc92f7e42533' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>magn</dd><dt><span>long_name :</span></dt><dd>Magnitude0</dd><dt><span>units :</span></dt><dd>V</dd><dt><span>batched :</span></dt><dd>True</dd><dt><span>batch_size :</span></dt><dd>1024</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "...\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>y1</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-383f9500-cb41-4e36-88fa-3ffdbadab9de' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-383f9500-cb41-4e36-88fa-3ffdbadab9de' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ba3d5d8-6475-41a3-9289-216dd60eebf5' class='xr-var-data-in' type='checkbox'><label for='data-0ba3d5d8-6475-41a3-9289-216dd60eebf5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>phase</dd><dt><span>long_name :</span></dt><dd>Phase0</dd><dt><span>units :</span></dt><dd>deg</dd><dt><span>batched :</span></dt><dd>True</dd><dt><span>batch_size :</span></dt><dd>1024</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "...\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6b26dc00-9450-4558-a6b8-1368a37106dd' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6b26dc00-9450-4558-a6b8-1368a37106dd' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-6266ba14-b78a-4af6-8ecb-8c09afa359ea' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6266ba14-b78a-4af6-8ecb-8c09afa359ea' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>tuid :</span></dt><dd>20231107-193017-315-05afb3</dd><dt><span>name :</span></dt><dd>resonator flux spectroscopy</dd><dt><span>grid_2d :</span></dt><dd>True</dd><dt><span>grid_2d_uniformly_spaced :</span></dt><dd>True</dd><dt><span>1d_2_settables_uniformly_spaced :</span></dt><dd>False</dd><dt><span>xlen :</span></dt><dd>300</dd><dt><span>ylen :</span></dt><dd>3</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (dim_0: 900)\n",
       "Coordinates:\n",
       "    x0       (dim_0) float64 7.68e+09 7.68e+09 7.68e+09 ... 7.72e+09 7.72e+09\n",
       "    x1       (dim_0) float64 0.0 0.0 0.0 0.0 0.0 0.0 ... 1.0 1.0 1.0 1.0 1.0 1.0\n",
       "Dimensions without coordinates: dim_0\n",
       "Data variables:\n",
       "    y0       (dim_0) float64 nan nan nan nan nan nan ... nan nan nan nan nan nan\n",
       "    y1       (dim_0) float64 nan nan nan nan nan nan ... nan nan nan nan nan nan\n",
       "Attributes:\n",
       "    tuid:                             20231107-193017-315-05afb3\n",
       "    name:                             resonator flux spectroscopy\n",
       "    grid_2d:                          True\n",
       "    grid_2d_uniformly_spaced:         True\n",
       "    1d_2_settables_uniformly_spaced:  False\n",
       "    xlen:                             300\n",
       "    ylen:                             3"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "set_readout_attenuation(quantum_device, qubit, out_att=50, in_att=0)\n",
    "\n",
    "quantum_device.cfg_sched_repetitions(80)\n",
    "center = 7.7e9\n",
    "frequency_setpoints = np.linspace(center - 20e6, center + 20e6, 300)\n",
    "\n",
    "meas_ctrl.settables([freq, flux_settable])\n",
    "meas_ctrl.setpoints_grid((frequency_setpoints, np.linspace(0, 1, 3)))\n",
    "\n",
    "rfs_ds = meas_ctrl.run(\"resonator flux spectroscopy\")\n",
    "rfs_ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "336f74f9",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-11-07T18:30:18.903202Z",
     "iopub.status.busy": "2023-11-07T18:30:18.903202Z",
     "iopub.status.idle": "2023-11-07T18:30:18.928180Z",
     "shell.execute_reply": "2023-11-07T18:30:18.927126Z"
    }
   },
   "outputs": [],
   "source": [
    "# If on dummy, override with old data for analysis\n",
    "if dev_id == \"dummy_cluster\":\n",
    "    rfs_ds = dh.load_dataset(tuid=\"20230308-235659-059-cf471e\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "704bd8ec",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-11-07T18:30:18.932300Z",
     "iopub.status.busy": "2023-11-07T18:30:18.932300Z",
     "iopub.status.idle": "2023-11-07T18:30:21.945613Z",
     "shell.execute_reply": "2023-11-07T18:30:21.944273Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 960x480 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rfs_analysis = ResonatorFluxSpectroscopyAnalysis(tuid=rfs_ds.attrs[\"tuid\"], dataset=rfs_ds)\n",
    "rfs_analysis.run(fit_method=\"fast\", sweetspot_index=0).display_figs_mpl()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "471fcbad",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-11-07T18:30:21.949637Z",
     "iopub.status.busy": "2023-11-07T18:30:21.949637Z",
     "iopub.status.idle": "2023-11-07T18:30:21.960775Z",
     "shell.execute_reply": "2023-11-07T18:30:21.959706Z"
    }
   },
   "outputs": [],
   "source": [
    "# Update the flux sweetspot\n",
    "flux_settable(rfs_analysis.quantities_of_interest[\"offset_0\"].nominal_value)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "3e39ef82",
   "metadata": {},
   "source": [
    "### Qubit-flux spectroscopy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "be1dcfb3",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-11-07T18:30:21.964188Z",
     "iopub.status.busy": "2023-11-07T18:30:21.964188Z",
     "iopub.status.idle": "2023-11-07T18:30:21.976365Z",
     "shell.execute_reply": "2023-11-07T18:30:21.975364Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "qubit_spec_sched_kwargs\n",
      "==============================\n",
      "qubit_name             = qubit\n",
      "spec_pulse_frequencies = freq\n",
      "spec_pulse_amp         = 0.25\n",
      "spec_pulse_duration    = 4.8e-05\n",
      "spec_pulse_port        = qubit:mw\n",
      "spec_pulse_clock       = qubit.01\n"
     ]
    }
   ],
   "source": [
    "freq = ManualParameter(name=\"freq\", unit=\"Hz\", label=\"Frequency\")\n",
    "freq.batched = True\n",
    "\n",
    "qubit_spec_sched_kwargs = dict(\n",
    "    qubit_name=qubit.name,\n",
    "    spec_pulse_frequencies=freq,\n",
    "    spec_pulse_amp=0.25,\n",
    "    spec_pulse_duration=48e-6,\n",
    "    spec_pulse_port=qubit.ports.microwave(),\n",
    "    spec_pulse_clock=qubit.name + \".01\",\n",
    ")\n",
    "\n",
    "gettable = ScheduleGettable(\n",
    "    quantum_device,\n",
    "    schedule_function=two_tone_spec_sched_nco,\n",
    "    schedule_kwargs=qubit_spec_sched_kwargs,\n",
    "    real_imag=False,\n",
    "    batched=True,\n",
    ")\n",
    "\n",
    "meas_ctrl.gettables(gettable)\n",
    "\n",
    "show_args(qubit_spec_sched_kwargs, title=\"qubit_spec_sched_kwargs\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "0276ac19",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-11-07T18:30:21.981374Z",
     "iopub.status.busy": "2023-11-07T18:30:21.980862Z",
     "iopub.status.idle": "2023-11-07T18:30:23.116689Z",
     "shell.execute_reply": "2023-11-07T18:30:23.114689Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting batched measurement...\n",
      "Iterative settable(s) [outer loop(s)]:\n",
      "\t out0_offset \n",
      "Batched settable(s):\n",
      "\t freq \n",
      "Batch size limit: 900\n",
      "\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ad605f512ef34185b0af96499eed8789",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Completed:   0%|           [ elapsed time: 00:00 | time left: ? ] it"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body[data-theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (dim_0: 900)\n",
       "Coordinates:\n",
       "    x0       (dim_0) float64 5.616e+09 5.616e+09 ... 5.656e+09 5.656e+09\n",
       "    x1       (dim_0) float64 0.0 0.0 0.0 0.0 0.0 0.0 ... 1.0 1.0 1.0 1.0 1.0 1.0\n",
       "Dimensions without coordinates: dim_0\n",
       "Data variables:\n",
       "    y0       (dim_0) float64 nan nan nan nan nan nan ... nan nan nan nan nan nan\n",
       "    y1       (dim_0) float64 nan nan nan nan nan nan ... nan nan nan nan nan nan\n",
       "Attributes:\n",
       "    tuid:                             20231107-193021-987-6b0af2\n",
       "    name:                             flux two-tone\n",
       "    grid_2d:                          True\n",
       "    grid_2d_uniformly_spaced:         True\n",
       "    1d_2_settables_uniformly_spaced:  False\n",
       "    xlen:                             300\n",
       "    ylen:                             3</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-4f146a51-7b16-4f01-b575-8b4c83399825' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4f146a51-7b16-4f01-b575-8b4c83399825' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>dim_0</span>: 900</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-79eec374-d251-420d-88c3-cc93d7fb6def' class='xr-section-summary-in' type='checkbox'  checked><label for='section-79eec374-d251-420d-88c3-cc93d7fb6def' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>x0</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.616e+09 5.616e+09 ... 5.656e+09</div><input id='attrs-5e74f07e-c9c6-40c0-9899-180b9ff2f1c6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5e74f07e-c9c6-40c0-9899-180b9ff2f1c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-01d35475-52fc-4754-8374-f7bbc2d5d84e' class='xr-var-data-in' type='checkbox'><label for='data-01d35475-52fc-4754-8374-f7bbc2d5d84e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>freq</dd><dt><span>long_name :</span></dt><dd>Frequency</dd><dt><span>units :</span></dt><dd>Hz</dd><dt><span>batched :</span></dt><dd>True</dd></dl></div><div class='xr-var-data'><pre>array([5.61594169e+09, 5.61607547e+09, 5.61620925e+09, 5.61634303e+09,\n",
       "       5.61647681e+09, 5.61661059e+09, 5.61674437e+09, 5.61687815e+09,\n",
       "       5.61701192e+09, 5.61714570e+09, 5.61727948e+09, 5.61741326e+09,\n",
       "       5.61754704e+09, 5.61768082e+09, 5.61781460e+09, 5.61794838e+09,\n",
       "       5.61808216e+09, 5.61821594e+09, 5.61834972e+09, 5.61848350e+09,\n",
       "       5.61861728e+09, 5.61875105e+09, 5.61888483e+09, 5.61901861e+09,\n",
       "       5.61915239e+09, 5.61928617e+09, 5.61941995e+09, 5.61955373e+09,\n",
       "       5.61968751e+09, 5.61982129e+09, 5.61995507e+09, 5.62008885e+09,\n",
       "       5.62022263e+09, 5.62035641e+09, 5.62049019e+09, 5.62062396e+09,\n",
       "       5.62075774e+09, 5.62089152e+09, 5.62102530e+09, 5.62115908e+09,\n",
       "       5.62129286e+09, 5.62142664e+09, 5.62156042e+09, 5.62169420e+09,\n",
       "       5.62182798e+09, 5.62196176e+09, 5.62209554e+09, 5.62222932e+09,\n",
       "       5.62236310e+09, 5.62249687e+09, 5.62263065e+09, 5.62276443e+09,\n",
       "       5.62289821e+09, 5.62303199e+09, 5.62316577e+09, 5.62329955e+09,\n",
       "       5.62343333e+09, 5.62356711e+09, 5.62370089e+09, 5.62383467e+09,\n",
       "       5.62396845e+09, 5.62410223e+09, 5.62423600e+09, 5.62436978e+09,\n",
       "       5.62450356e+09, 5.62463734e+09, 5.62477112e+09, 5.62490490e+09,\n",
       "       5.62503868e+09, 5.62517246e+09, 5.62530624e+09, 5.62544002e+09,\n",
       "       5.62557380e+09, 5.62570758e+09, 5.62584136e+09, 5.62597514e+09,\n",
       "       5.62610891e+09, 5.62624269e+09, 5.62637647e+09, 5.62651025e+09,\n",
       "...\n",
       "       5.64537313e+09, 5.64550691e+09, 5.64564069e+09, 5.64577447e+09,\n",
       "       5.64590825e+09, 5.64604202e+09, 5.64617580e+09, 5.64630958e+09,\n",
       "       5.64644336e+09, 5.64657714e+09, 5.64671092e+09, 5.64684470e+09,\n",
       "       5.64697848e+09, 5.64711226e+09, 5.64724604e+09, 5.64737982e+09,\n",
       "       5.64751360e+09, 5.64764738e+09, 5.64778116e+09, 5.64791493e+09,\n",
       "       5.64804871e+09, 5.64818249e+09, 5.64831627e+09, 5.64845005e+09,\n",
       "       5.64858383e+09, 5.64871761e+09, 5.64885139e+09, 5.64898517e+09,\n",
       "       5.64911895e+09, 5.64925273e+09, 5.64938651e+09, 5.64952029e+09,\n",
       "       5.64965407e+09, 5.64978784e+09, 5.64992162e+09, 5.65005540e+09,\n",
       "       5.65018918e+09, 5.65032296e+09, 5.65045674e+09, 5.65059052e+09,\n",
       "       5.65072430e+09, 5.65085808e+09, 5.65099186e+09, 5.65112564e+09,\n",
       "       5.65125942e+09, 5.65139320e+09, 5.65152697e+09, 5.65166075e+09,\n",
       "       5.65179453e+09, 5.65192831e+09, 5.65206209e+09, 5.65219587e+09,\n",
       "       5.65232965e+09, 5.65246343e+09, 5.65259721e+09, 5.65273099e+09,\n",
       "       5.65286477e+09, 5.65299855e+09, 5.65313233e+09, 5.65326611e+09,\n",
       "       5.65339988e+09, 5.65353366e+09, 5.65366744e+09, 5.65380122e+09,\n",
       "       5.65393500e+09, 5.65406878e+09, 5.65420256e+09, 5.65433634e+09,\n",
       "       5.65447012e+09, 5.65460390e+09, 5.65473768e+09, 5.65487146e+09,\n",
       "       5.65500524e+09, 5.65513901e+09, 5.65527279e+09, 5.65540657e+09,\n",
       "       5.65554035e+09, 5.65567413e+09, 5.65580791e+09, 5.65594169e+09])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x1</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 1.0 1.0 1.0 1.0</div><input id='attrs-59dab21a-ef11-4554-8a37-16050bb15a95' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-59dab21a-ef11-4554-8a37-16050bb15a95' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-92c35171-64fb-4e76-a762-b6e674ca4653' class='xr-var-data-in' type='checkbox'><label for='data-92c35171-64fb-4e76-a762-b6e674ca4653' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>cluster0.module2.out0_offset</dd><dt><span>long_name :</span></dt><dd>cluster0 module2 Output 0 offset</dd><dt><span>units :</span></dt><dd>V</dd><dt><span>batched :</span></dt><dd>False</dd></dl></div><div class='xr-var-data'><pre>array([0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ,\n",
       "       0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ,\n",
       "       0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ,\n",
       "       0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ,\n",
       "       0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ,\n",
       "       0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ,\n",
       "       0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ,\n",
       "       0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ,\n",
       "       0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ,\n",
       "       0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ,\n",
       "       0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ,\n",
       "       0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ,\n",
       "       0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ,\n",
       "       0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ,\n",
       "       0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ,\n",
       "       0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ,\n",
       "       0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ,\n",
       "       0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ,\n",
       "       0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ,\n",
       "       0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ,\n",
       "...\n",
       "       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. ,\n",
       "       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. ,\n",
       "       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. ,\n",
       "       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. ,\n",
       "       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. ,\n",
       "       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. ,\n",
       "       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. ,\n",
       "       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. ,\n",
       "       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. ,\n",
       "       1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. ,\n",
       "       1. , 1. , 1. ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-394276e1-0f43-4691-ac07-71aef76f7148' class='xr-section-summary-in' type='checkbox'  checked><label for='section-394276e1-0f43-4691-ac07-71aef76f7148' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>y0</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-3faf1b65-fad3-4344-9859-9ba8b2ad83ad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3faf1b65-fad3-4344-9859-9ba8b2ad83ad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-82892ab0-3449-45d6-9708-ef8dee860dad' class='xr-var-data-in' type='checkbox'><label for='data-82892ab0-3449-45d6-9708-ef8dee860dad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>magn</dd><dt><span>long_name :</span></dt><dd>Magnitude0</dd><dt><span>units :</span></dt><dd>V</dd><dt><span>batched :</span></dt><dd>True</dd><dt><span>batch_size :</span></dt><dd>1024</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "...\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>y1</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-0cf8775b-3369-4201-8126-16b49eaf3fb1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0cf8775b-3369-4201-8126-16b49eaf3fb1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4826c40f-f1f6-432e-95d6-ef59a5de5db2' class='xr-var-data-in' type='checkbox'><label for='data-4826c40f-f1f6-432e-95d6-ef59a5de5db2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>phase</dd><dt><span>long_name :</span></dt><dd>Phase0</dd><dt><span>units :</span></dt><dd>deg</dd><dt><span>batched :</span></dt><dd>True</dd><dt><span>batch_size :</span></dt><dd>1024</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "...\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d41e7830-d5b9-47cc-a699-6c7bcdfe82c8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d41e7830-d5b9-47cc-a699-6c7bcdfe82c8' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-2219d708-e7cd-4999-9d4d-aa055ab94613' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2219d708-e7cd-4999-9d4d-aa055ab94613' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>tuid :</span></dt><dd>20231107-193021-987-6b0af2</dd><dt><span>name :</span></dt><dd>flux two-tone</dd><dt><span>grid_2d :</span></dt><dd>True</dd><dt><span>grid_2d_uniformly_spaced :</span></dt><dd>True</dd><dt><span>1d_2_settables_uniformly_spaced :</span></dt><dd>False</dd><dt><span>xlen :</span></dt><dd>300</dd><dt><span>ylen :</span></dt><dd>3</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (dim_0: 900)\n",
       "Coordinates:\n",
       "    x0       (dim_0) float64 5.616e+09 5.616e+09 ... 5.656e+09 5.656e+09\n",
       "    x1       (dim_0) float64 0.0 0.0 0.0 0.0 0.0 0.0 ... 1.0 1.0 1.0 1.0 1.0 1.0\n",
       "Dimensions without coordinates: dim_0\n",
       "Data variables:\n",
       "    y0       (dim_0) float64 nan nan nan nan nan nan ... nan nan nan nan nan nan\n",
       "    y1       (dim_0) float64 nan nan nan nan nan nan ... nan nan nan nan nan nan\n",
       "Attributes:\n",
       "    tuid:                             20231107-193021-987-6b0af2\n",
       "    name:                             flux two-tone\n",
       "    grid_2d:                          True\n",
       "    grid_2d_uniformly_spaced:         True\n",
       "    1d_2_settables_uniformly_spaced:  False\n",
       "    xlen:                             300\n",
       "    ylen:                             3"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "set_drive_attenuation(quantum_device, qubit, out_att=60)\n",
    "\n",
    "quantum_device.cfg_sched_repetitions(400)\n",
    "center = qubit.clock_freqs.f01()\n",
    "frequency_setpoints = np.linspace(center - 20e6, center + 20e6, 300)\n",
    "meas_ctrl.settables([freq, flux_settable])\n",
    "meas_ctrl.setpoints_grid((frequency_setpoints, np.linspace(0, 1, 3)))\n",
    "\n",
    "qfs_ds = meas_ctrl.run(\"flux two-tone\")\n",
    "qfs_ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "4bfb5076",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-11-07T18:30:23.121224Z",
     "iopub.status.busy": "2023-11-07T18:30:23.121224Z",
     "iopub.status.idle": "2023-11-07T18:30:23.145957Z",
     "shell.execute_reply": "2023-11-07T18:30:23.144955Z"
    }
   },
   "outputs": [],
   "source": [
    "# If on dummy, override with old data for analysis\n",
    "if dev_id == \"dummy_cluster\":\n",
    "    qfs_ds = dh.load_dataset(tuid=\"20230309-235354-353-9c94c5\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "20e3c263",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-11-07T18:30:23.150531Z",
     "iopub.status.busy": "2023-11-07T18:30:23.150531Z",
     "iopub.status.idle": "2023-11-07T18:30:26.448597Z",
     "shell.execute_reply": "2023-11-07T18:30:26.447499Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1344x480 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "qfs_analysis = QubitFluxSpectroscopyAnalysis(tuid=qfs_ds.attrs[\"tuid\"], dataset=qfs_ds)\n",
    "qfs_analysis.run().display_figs_mpl()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "ee5b245c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-11-07T18:30:26.453665Z",
     "iopub.status.busy": "2023-11-07T18:30:26.452635Z",
     "iopub.status.idle": "2023-11-07T18:30:26.464177Z",
     "shell.execute_reply": "2023-11-07T18:30:26.463111Z"
    }
   },
   "outputs": [],
   "source": [
    "# Update the flux sweetspot\n",
    "flux_settable(qfs_analysis.quantities_of_interest[\"offset_0\"].nominal_value)"
   ]
  }
 ],
 "metadata": {
  "jupytext": {
   "formats": "ipynb,py:percent"
  },
  "kernelspec": {
   "display_name": "develop",
   "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": "3.8.0"
  },
  "widgets": {
   "application/vnd.jupyter.widget-state+json": {
    "state": {
     "00539e03882345e995e54592ab4351cc": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "00d730cafa014d8a8a8c3433bba69e5e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "00e5527d1fa348b9a61bffbb0c5053f7": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "ProgressStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "019159dbab2a40218d10d56bd62b18a2": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "FloatProgressModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "success",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_a998f029305149b3b7ffd7def3e25bd9",
       "max": 100.0,
       "min": 0.0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_f90628c33a0444f7b74376a8a4b97403",
       "value": 100.0
      }
     },
     "0498cafe46d9481ea13eae2946d28a74": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "04a88e306aa6447496a8af8971f36343": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HTMLModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_3c79454f6e9c47c6be546db88d9dcc8d",
       "placeholder": "​",
       "style": "IPY_MODEL_98aa1a02f1594e0995373f009753336b",
       "value": " [ elapsed time: 00:00 | time left: 00:00 ]  last batch size: 100"
      }
     },
     "0722772947234f718dc69bb23f637a26": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "094d2eaa230c4ef082f3953fb4c90524": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "0bfbaefd36e443f4a6aa23d44d1aa45f": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "0d2839950ee543b49bd3948ea211fdc5": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "FloatProgressModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_a1afac9a20e64367a7de52a15f0332dc",
       "max": 100.0,
       "min": 0.0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_9e5ad3815b4242aab68d8002350cbc3b",
       "value": 0.0
      }
     },
     "0f64f103e3db46c2bf0a5fb2b789826f": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "FloatProgressModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "success",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_a1afac9a20e64367a7de52a15f0332dc",
       "max": 100.0,
       "min": 0.0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_9e5ad3815b4242aab68d8002350cbc3b",
       "value": 100.0
      }
     },
     "111a858e40ff42f0ae3d7ccc81332e9a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HTMLModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_21aca4995ab24c57a5afe64aa7f6217d",
       "placeholder": "​",
       "style": "IPY_MODEL_f3461a4d15f84f24a2a0dc5ce2efcb28",
       "value": " [ elapsed time: 00:00 | time left: 00:00 ]  last batch size: 300"
      }
     },
     "1202fb70cfa048a1b2f5581d18e2f8e9": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "139a92e986f74c068aaee1e05d653ac9": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "1519dce13f894882934c1f911213821a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HTMLModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_753d113c487a45dfbaecafb3357b4afc",
       "placeholder": "​",
       "style": "IPY_MODEL_85aaca00ca5541e887913c45fc985816",
       "value": "Completed: 100%"
      }
     },
     "18bc1133b9f141d0b6ef8584081c1203": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "198ca86646184a90835487f21ff56ea1": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HTMLModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_347b87f4e3d546e0a276b7a867b928c7",
       "placeholder": "​",
       "style": "IPY_MODEL_75b7eb2a31ef44309101438ce942bd49",
       "value": " [ elapsed time: 00:00 | time left: 00:00 ]  last batch size: 100"
      }
     },
     "1a97b42800a747fb8393384fb12b370e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HTMLModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_5e00078e93404c52ad4c2ac8fda772fb",
       "placeholder": "​",
       "style": "IPY_MODEL_4f7b4add4f7a40f49dd2c9676f5c9842",
       "value": " [ elapsed time: 00:00 | time left: 00:00 ]  last batch size: 200"
      }
     },
     "1bf9d49769b94eea909555eefeb72474": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "20490ec698b94a60b9524131caa0e7ae": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "214d507448c9406b90bad58b01b7daf1": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HBoxModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_bb6aa189b45e493aad64396529f60166",
        "IPY_MODEL_dc9b5a8209d94f358e852a38bf29454d",
        "IPY_MODEL_111a858e40ff42f0ae3d7ccc81332e9a"
       ],
       "layout": "IPY_MODEL_47fe11e7ee7f4d3cbfb6e0053ca3549e"
      }
     },
     "21aca4995ab24c57a5afe64aa7f6217d": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "22ae89909a2f40288614ad4474402c57": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "23f1c1f46c294eb2bae27b2d6ae2e750": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "256011b2f14546ebba3317f9a795fa98": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "2778aaa91ca445c2b2271462b1185bba": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "27b84ca4def24d1cb8fbbba19d481ac1": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "FloatProgressModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_cdaceec4bf2e4f5a893070aabb943ffa",
       "max": 100.0,
       "min": 0.0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_37a1a7a2ea7740a6b840456094e8d50f",
       "value": 0.0
      }
     },
     "29effe740756444bb04507959d4d93d0": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HTMLModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_6886a29c174346c0bfb0239944594057",
       "placeholder": "​",
       "style": "IPY_MODEL_9323c630ab8245bb8c78925defef119a",
       "value": "Completed: 100%"
      }
     },
     "2b3b7bd8ee604b329455d0f9a4c28a9e": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "347b87f4e3d546e0a276b7a867b928c7": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "34b11e8fff50481fb29c6cc693df47c5": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "35c53a2d93db419db1ab66addc7efa2c": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "FloatProgressModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "success",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_1202fb70cfa048a1b2f5581d18e2f8e9",
       "max": 100.0,
       "min": 0.0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_54f8a4929dfa41f3b44c2f9c202d7a1c",
       "value": 100.0
      }
     },
     "365371f158fe4d479e4644682d357a61": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "FloatProgressModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_528507d1412c40e7a3e63329f75aaaba",
       "max": 100.0,
       "min": 0.0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_74ef41b8c3a14750a05cb45f069ec520",
       "value": 0.0
      }
     },
     "376e3783f58a42f19db7551f2b67b524": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HTMLModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_eadd99ed6cf04f3482c1ab40a9cedbd8",
       "placeholder": "​",
       "style": "IPY_MODEL_ef6fd18f18424425814acfd031800cb4",
       "value": ""
      }
     },
     "37a1a7a2ea7740a6b840456094e8d50f": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "ProgressStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "3838eb665b6e4e9e85d0f107f0ef9692": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "ProgressStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "387f748416b84993bae3156451370bd5": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HTMLModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_21aca4995ab24c57a5afe64aa7f6217d",
       "placeholder": "​",
       "style": "IPY_MODEL_f3461a4d15f84f24a2a0dc5ce2efcb28",
       "value": ""
      }
     },
     "38d0e93313284fca9834b115157dc9bb": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "3c79454f6e9c47c6be546db88d9dcc8d": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "3c85489e758e439bab8f0ada1d58ed02": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "3ca967ec56e941179ff7a03ea426dd33": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "3ef52b8bd57041e38d64c4730906d2f0": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HTMLModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_753d113c487a45dfbaecafb3357b4afc",
       "placeholder": "​",
       "style": "IPY_MODEL_85aaca00ca5541e887913c45fc985816",
       "value": ""
      }
     },
     "3f5b696b3d904feba739ebb55b2a3897": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HTMLModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_6201959c37824a05babd27d9e9f421b5",
       "placeholder": "​",
       "style": "IPY_MODEL_eb0065f751b94bddb22014e6b69957b6",
       "value": " [ elapsed time: 00:01 | time left: 00:00 ]  last batch size: 100"
      }
     },
     "40624f7ecd3746f6942769209d1342da": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "4074de0033554ae3845c5539753edfbb": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "40fca6bc06a849a0b3adee5d92786e37": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HBoxModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_964857f5b5df43b4b5fc0267156de429",
        "IPY_MODEL_b06c917bd155420789ae2e48e9bc5c01",
        "IPY_MODEL_85d8976e1b184f2fa5bbc850c256a833"
       ],
       "layout": "IPY_MODEL_1bf9d49769b94eea909555eefeb72474"
      }
     },
     "463190885e704a7bb29378ceb098ad34": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "47fe11e7ee7f4d3cbfb6e0053ca3549e": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "4a31463e7002489baa0c874ceb7484b7": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HTMLModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_946716672759428cb0ac8c242b5a31c6",
       "placeholder": "​",
       "style": "IPY_MODEL_e895615fd4084edc95679b2956dbfcdc",
       "value": ""
      }
     },
     "4dde79a320e541f1b672eda47bc47f4d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "ProgressStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "4f61d345bec948498d774b36204ba6c4": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HBoxModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_e1f1dcb1e5114315aea9c08904440105",
        "IPY_MODEL_e05a63e494fc40c582cf927040aa2e39",
        "IPY_MODEL_198ca86646184a90835487f21ff56ea1"
       ],
       "layout": "IPY_MODEL_91d67aa82ba640c6abfb2e24ac800f5e"
      }
     },
     "4f7b4add4f7a40f49dd2c9676f5c9842": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "505f27ae3de04d50a1c584e701334651": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "513f463c7b0241869cb66b128f0e1d4f": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "528507d1412c40e7a3e63329f75aaaba": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "54f8a4929dfa41f3b44c2f9c202d7a1c": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "ProgressStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "57481a283df24625b8d7f51954c1c15d": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "5775e674b12d471a88ebd31c048c3df2": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "57ede0a53ae546698b915fe5bdc52720": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "5a9a3394a00047b3b31802cb8b13b2d0": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "5bfa8054b9a64b5e9548b6909e9c0a3d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "FloatProgressModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_69f9bbb42dae439ea109ea1ba3124c31",
       "max": 100.0,
       "min": 0.0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_fb9e568e413a4c36b7c6c8e0362b1dcf",
       "value": 0.0
      }
     },
     "5c99ed0f0bc84b56be8326946c2fc3ae": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HBoxModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_964857f5b5df43b4b5fc0267156de429",
        "IPY_MODEL_b06c917bd155420789ae2e48e9bc5c01",
        "IPY_MODEL_85d8976e1b184f2fa5bbc850c256a833"
       ],
       "layout": "IPY_MODEL_1bf9d49769b94eea909555eefeb72474"
      }
     },
     "5ccbe7a96c0d4c7eba7343644218d833": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "ProgressStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "5e00078e93404c52ad4c2ac8fda772fb": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "5e7baca41f3d4f889203ec8ea83137e3": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HBoxModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_a559675a9ded47f4a8d34cee1dcfcea2",
        "IPY_MODEL_019159dbab2a40218d10d56bd62b18a2",
        "IPY_MODEL_1a97b42800a747fb8393384fb12b370e"
       ],
       "layout": "IPY_MODEL_00539e03882345e995e54592ab4351cc"
      }
     },
     "5f2510d6f517409d9f6754a9f7e31690": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "60d47b8a94094c1389c7a8dc881e866e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HTMLModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_8897587c2b07462b8a9b82c02bb4d562",
       "placeholder": "​",
       "style": "IPY_MODEL_2778aaa91ca445c2b2271462b1185bba",
       "value": ""
      }
     },
     "6201959c37824a05babd27d9e9f421b5": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "6251c3f8ef634a6aab39d66cf3faa87d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "FloatProgressModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_1202fb70cfa048a1b2f5581d18e2f8e9",
       "max": 100.0,
       "min": 0.0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_54f8a4929dfa41f3b44c2f9c202d7a1c",
       "value": 0.0
      }
     },
     "631b75daef5a4663a969069e52ada9ce": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HTMLModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_946716672759428cb0ac8c242b5a31c6",
       "placeholder": "​",
       "style": "IPY_MODEL_e895615fd4084edc95679b2956dbfcdc",
       "value": " [ elapsed time: 00:02 | time left: 00:00 ]  last batch size: 300"
      }
     },
     "63927d03437240ef910174460b838b0b": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "63abef64a05c47ada45aac0a3a3100f1": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "661fa97cead2440ea1212d10e1bf2f77": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "6886a29c174346c0bfb0239944594057": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "69f9bbb42dae439ea109ea1ba3124c31": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "6a9608e7fb49497f89614af1507f45a1": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HBoxModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_e21dd99d4e954627a5012fefab1a6866",
        "IPY_MODEL_35c53a2d93db419db1ab66addc7efa2c",
        "IPY_MODEL_04a88e306aa6447496a8af8971f36343"
       ],
       "layout": "IPY_MODEL_63927d03437240ef910174460b838b0b"
      }
     },
     "6b237ba2302d4a41b037d7bbf4c379a7": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "73065c4c159d46cd9596f416795ed3ea": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "739c16af3d5542d6950c6d8a6f583d4b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HTMLModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_5e00078e93404c52ad4c2ac8fda772fb",
       "placeholder": "​",
       "style": "IPY_MODEL_4f7b4add4f7a40f49dd2c9676f5c9842",
       "value": ""
      }
     },
     "744a10a7e27646c8afd1998b47e06471": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "74ef41b8c3a14750a05cb45f069ec520": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "ProgressStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "753d113c487a45dfbaecafb3357b4afc": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "75b7eb2a31ef44309101438ce942bd49": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "77e318ce80d547d186c6e27adf58d91b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HTMLModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_cdfc0a2f25644b6bb7881b4e42e5c037",
       "placeholder": "​",
       "style": "IPY_MODEL_d0093d0e6d56437fb3a27e3a5c19e7b8",
       "value": ""
      }
     },
     "7aafb28e79964ad5a5e56954ee3b4eea": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HBoxModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_1519dce13f894882934c1f911213821a",
        "IPY_MODEL_0f64f103e3db46c2bf0a5fb2b789826f",
        "IPY_MODEL_3f5b696b3d904feba739ebb55b2a3897"
       ],
       "layout": "IPY_MODEL_9bef32e51e054c03a435fa067b44f82a"
      }
     },
     "7d7d0a7a477e4b20beade95e3b786522": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "7d8d48caeb4f4a538615862bfd4b4488": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "7ec95aa666f64d2e8583505d7f7ca87e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "8014cc30c6fe44b8b014f038f0c33a89": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "8046303259294c63a18ec4804149abf0": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "81baed189c0f4bcd92b33d024e50a3ed": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "821b711e4724475aa8c73206c904b88b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "823f12ecc34b4e2db88e13e5c803a389": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HBoxModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_e21dd99d4e954627a5012fefab1a6866",
        "IPY_MODEL_35c53a2d93db419db1ab66addc7efa2c",
        "IPY_MODEL_04a88e306aa6447496a8af8971f36343"
       ],
       "layout": "IPY_MODEL_63927d03437240ef910174460b838b0b"
      }
     },
     "82a6139fd2494b01b62a4b77d1010c10": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "85aaca00ca5541e887913c45fc985816": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "85d8976e1b184f2fa5bbc850c256a833": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HTMLModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_3ca967ec56e941179ff7a03ea426dd33",
       "placeholder": "​",
       "style": "IPY_MODEL_953630bfa8a246038722111822794027",
       "value": " [ elapsed time: 00:00 | time left: 00:00 ]  last batch size: 400"
      }
     },
     "861f2a0a2984492c83df02189c7764a9": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "ProgressStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "869d362b267a453e9763f5d8286a93fc": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "8701e5b81d67465399f576f444be7fee": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "FloatProgressModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "success",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_90d00ecb52974d8e8c93aa0d3201b5f8",
       "max": 100.0,
       "min": 0.0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_afcc3d1ccf184a6698e7ea1558b23587",
       "value": 100.0
      }
     },
     "884d5bea2b07442cac0f9a00eb9aa972": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "8897587c2b07462b8a9b82c02bb4d562": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "8c071f46b61d4046ab206dcc922ca66a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HTMLModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_3ca967ec56e941179ff7a03ea426dd33",
       "placeholder": "​",
       "style": "IPY_MODEL_953630bfa8a246038722111822794027",
       "value": ""
      }
     },
     "8d1b85fe762549bc8784ea3b6940a8cc": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "8f6b1cc2df2543fbacfd82c859ce90a5": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "90c24ce71d124998b38c4a8074b3d4bf": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "90d00ecb52974d8e8c93aa0d3201b5f8": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "91d67aa82ba640c6abfb2e24ac800f5e": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "92b202ab72ba4120a6024c3455dfac3a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "ProgressStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "9323c630ab8245bb8c78925defef119a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "946716672759428cb0ac8c242b5a31c6": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "953630bfa8a246038722111822794027": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "964857f5b5df43b4b5fc0267156de429": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HTMLModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_8897587c2b07462b8a9b82c02bb4d562",
       "placeholder": "​",
       "style": "IPY_MODEL_2778aaa91ca445c2b2271462b1185bba",
       "value": "Completed: 100%"
      }
     },
     "9678f54890cc4d0191332343e07ebc3f": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HTMLModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_eadd99ed6cf04f3482c1ab40a9cedbd8",
       "placeholder": "​",
       "style": "IPY_MODEL_ef6fd18f18424425814acfd031800cb4",
       "value": "Completed: 100%"
      }
     },
     "98aa1a02f1594e0995373f009753336b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "9bb78d02a8db472b85690a668bbb3d36": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HBoxModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_29effe740756444bb04507959d4d93d0",
        "IPY_MODEL_b7b2359eeed441aaa24ebf72cb8d601f",
        "IPY_MODEL_631b75daef5a4663a969069e52ada9ce"
       ],
       "layout": "IPY_MODEL_463190885e704a7bb29378ceb098ad34"
      }
     },
     "9bcb959f5169417aa248df44aa52d1a8": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "9bef32e51e054c03a435fa067b44f82a": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "9e5ad3815b4242aab68d8002350cbc3b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "ProgressStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "9fdad310ff5149c5a7b9c2fa37ff2d27": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HBoxModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_bb6aa189b45e493aad64396529f60166",
        "IPY_MODEL_dc9b5a8209d94f358e852a38bf29454d",
        "IPY_MODEL_111a858e40ff42f0ae3d7ccc81332e9a"
       ],
       "layout": "IPY_MODEL_47fe11e7ee7f4d3cbfb6e0053ca3549e"
      }
     },
     "a1afac9a20e64367a7de52a15f0332dc": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "a3d226b158c047cdaafbbccec39b5a9c": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "a4799c0a0ff94851a34bcdd06fdfbb3d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HBoxModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_29effe740756444bb04507959d4d93d0",
        "IPY_MODEL_b7b2359eeed441aaa24ebf72cb8d601f",
        "IPY_MODEL_631b75daef5a4663a969069e52ada9ce"
       ],
       "layout": "IPY_MODEL_463190885e704a7bb29378ceb098ad34"
      }
     },
     "a47f7837a9d94ea298e5df0c10dfe128": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "ProgressStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "a559675a9ded47f4a8d34cee1dcfcea2": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HTMLModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_cdfc0a2f25644b6bb7881b4e42e5c037",
       "placeholder": "​",
       "style": "IPY_MODEL_d0093d0e6d56437fb3a27e3a5c19e7b8",
       "value": "Completed: 100%"
      }
     },
     "a62ff933505a4974b0a117b17b222f1b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "ProgressStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "a67f99c00dde455f8ca0cc9bdb1c4c3d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HBoxModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_1519dce13f894882934c1f911213821a",
        "IPY_MODEL_0f64f103e3db46c2bf0a5fb2b789826f",
        "IPY_MODEL_3f5b696b3d904feba739ebb55b2a3897"
       ],
       "layout": "IPY_MODEL_9bef32e51e054c03a435fa067b44f82a"
      }
     },
     "a998f029305149b3b7ffd7def3e25bd9": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "abdff32e35eb405585ed51d71e5889b4": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "ad605f512ef34185b0af96499eed8789": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HBoxModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_9678f54890cc4d0191332343e07ebc3f",
        "IPY_MODEL_8701e5b81d67465399f576f444be7fee",
        "IPY_MODEL_d8230da554854c26a43c064d3cedc991"
       ],
       "layout": "IPY_MODEL_22ae89909a2f40288614ad4474402c57"
      }
     },
     "afcc3d1ccf184a6698e7ea1558b23587": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "ProgressStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "b06c917bd155420789ae2e48e9bc5c01": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "FloatProgressModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "success",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_cdaceec4bf2e4f5a893070aabb943ffa",
       "max": 100.0,
       "min": 0.0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_37a1a7a2ea7740a6b840456094e8d50f",
       "value": 100.0
      }
     },
     "b3783afee8b943d5a6a2a96680cfc438": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HTMLModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_40624f7ecd3746f6942769209d1342da",
       "placeholder": "​",
       "style": "IPY_MODEL_8046303259294c63a18ec4804149abf0",
       "value": ""
      }
     },
     "b7b2359eeed441aaa24ebf72cb8d601f": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "FloatProgressModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "success",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_69f9bbb42dae439ea109ea1ba3124c31",
       "max": 100.0,
       "min": 0.0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_fb9e568e413a4c36b7c6c8e0362b1dcf",
       "value": 100.0
      }
     },
     "bb6aa189b45e493aad64396529f60166": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HTMLModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_40624f7ecd3746f6942769209d1342da",
       "placeholder": "​",
       "style": "IPY_MODEL_8046303259294c63a18ec4804149abf0",
       "value": "Completed: 100%"
      }
     },
     "bbf7e691d48d4c6fa38160b30f2fbff7": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "bf8eb0d059484d34a3798345c0d0278f": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "c5f6a408de9940d69185635d47eb29ef": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "FloatProgressModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_de5c7466de7e4517b54ef48324ce3675",
       "max": 100.0,
       "min": 0.0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_3838eb665b6e4e9e85d0f107f0ef9692",
       "value": 0.0
      }
     },
     "c639102717034f898625cb3b6c2b0d19": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HTMLModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_8f6b1cc2df2543fbacfd82c859ce90a5",
       "placeholder": "​",
       "style": "IPY_MODEL_e93adc14e87e4253b4a61a5e1fa5a1f7",
       "value": ""
      }
     },
     "c77f24d49533437bba2ad33a9504e070": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DropdownModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DropdownModel",
       "_options_labels": [
        "Dummy-Cluster",
        "QAE_1 @10.10.200.42",
        "cluster-mm @10.10.200.53",
        "pulsar-qcm @10.10.200.51",
        "pulsar-qrm @10.10.200.52",
        "cluster-mm @10.10.200.50"
       ],
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "DropdownView",
       "description": "Select Device",
       "description_tooltip": null,
       "disabled": false,
       "index": 0,
       "layout": "IPY_MODEL_c838606f686549bca0c941a540c6046e",
       "style": "IPY_MODEL_256011b2f14546ebba3317f9a795fa98"
      }
     },
     "c838606f686549bca0c941a540c6046e": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "ca6fc5a66af949bb94358e0079e3c352": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "cb8febf27fa74ce18cfc8dd324dc90f4": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "ProgressStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "cdaceec4bf2e4f5a893070aabb943ffa": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "cdfc0a2f25644b6bb7881b4e42e5c037": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "ce533bafd62142c69200c9c854413757": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "d0093d0e6d56437fb3a27e3a5c19e7b8": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "d0c7abd1e75a45cd97cabb88d6ed6125": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "d0ff614d0d0944478d43378c49648662": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "d0ffa686f4c5460a9f9c4d70a6e5b546": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HTMLModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_3c79454f6e9c47c6be546db88d9dcc8d",
       "placeholder": "​",
       "style": "IPY_MODEL_98aa1a02f1594e0995373f009753336b",
       "value": ""
      }
     },
     "d3b6f1cfe4344c86bcfeb13b7985492b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DropdownModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DropdownModel",
       "_options_labels": [
        "Dummy-Cluster",
        "QAE_1 @10.10.200.42",
        "cluster-mm @10.10.200.53",
        "pulsar-qcm @10.10.200.51",
        "pulsar-qrm @10.10.200.52",
        "cluster-mm @10.10.200.50"
       ],
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "DropdownView",
       "description": "Select Device",
       "description_tooltip": null,
       "disabled": false,
       "index": 0,
       "layout": "IPY_MODEL_c838606f686549bca0c941a540c6046e",
       "style": "IPY_MODEL_256011b2f14546ebba3317f9a795fa98"
      }
     },
     "d3fd4545ba9b409a9a2d33f11a89747f": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "d51304ac57c84bc4b42677b3a12071e5": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HTMLModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_6b237ba2302d4a41b037d7bbf4c379a7",
       "placeholder": "​",
       "style": "IPY_MODEL_bf8eb0d059484d34a3798345c0d0278f",
       "value": ""
      }
     },
     "d6ec198ca64b43d7a97a005913fedf72": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "FloatProgressModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_a998f029305149b3b7ffd7def3e25bd9",
       "max": 100.0,
       "min": 0.0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_f90628c33a0444f7b74376a8a4b97403",
       "value": 0.0
      }
     },
     "d8230da554854c26a43c064d3cedc991": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HTMLModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_18bc1133b9f141d0b6ef8584081c1203",
       "placeholder": "​",
       "style": "IPY_MODEL_5775e674b12d471a88ebd31c048c3df2",
       "value": " [ elapsed time: 00:00 | time left: 00:00 ]  last batch size: 300"
      }
     },
     "d869021523844471983785e9de0f56b7": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "d86e602d986143f59626e1f39b7118fa": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "dc9b5a8209d94f358e852a38bf29454d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "FloatProgressModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "success",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_de5c7466de7e4517b54ef48324ce3675",
       "max": 100.0,
       "min": 0.0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_3838eb665b6e4e9e85d0f107f0ef9692",
       "value": 100.0
      }
     },
     "de5c7466de7e4517b54ef48324ce3675": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "e05a63e494fc40c582cf927040aa2e39": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "FloatProgressModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "success",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_528507d1412c40e7a3e63329f75aaaba",
       "max": 100.0,
       "min": 0.0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_74ef41b8c3a14750a05cb45f069ec520",
       "value": 100.0
      }
     },
     "e1f1dcb1e5114315aea9c08904440105": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HTMLModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_6b237ba2302d4a41b037d7bbf4c379a7",
       "placeholder": "​",
       "style": "IPY_MODEL_bf8eb0d059484d34a3798345c0d0278f",
       "value": "Completed: 100%"
      }
     },
     "e21dd99d4e954627a5012fefab1a6866": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HTMLModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_8f6b1cc2df2543fbacfd82c859ce90a5",
       "placeholder": "​",
       "style": "IPY_MODEL_e93adc14e87e4253b4a61a5e1fa5a1f7",
       "value": "Completed: 100%"
      }
     },
     "e6266923b23b4566818d764fadffe0c8": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HTMLModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_6201959c37824a05babd27d9e9f421b5",
       "placeholder": "​",
       "style": "IPY_MODEL_eb0065f751b94bddb22014e6b69957b6",
       "value": ""
      }
     },
     "e895615fd4084edc95679b2956dbfcdc": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "e93adc14e87e4253b4a61a5e1fa5a1f7": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "eadd99ed6cf04f3482c1ab40a9cedbd8": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "eb0065f751b94bddb22014e6b69957b6": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "eb3be49b136444e4bb28499811394acf": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "ed64dbfe88df477295cf76613d70bfe0": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "ed9609411a3742ab9c646d7038300f57": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "ef6fd18f18424425814acfd031800cb4": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "f0b586dbe2894ac396fb538ce3d08fe3": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HTMLModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_6886a29c174346c0bfb0239944594057",
       "placeholder": "​",
       "style": "IPY_MODEL_9323c630ab8245bb8c78925defef119a",
       "value": ""
      }
     },
     "f1b6c8001dd4477992d0478d2c25dcc2": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "FloatProgressModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_90d00ecb52974d8e8c93aa0d3201b5f8",
       "max": 100.0,
       "min": 0.0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_afcc3d1ccf184a6698e7ea1558b23587",
       "value": 0.0
      }
     },
     "f2c6f9c344e04fb482921c01e597bd74": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HTMLModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_347b87f4e3d546e0a276b7a867b928c7",
       "placeholder": "​",
       "style": "IPY_MODEL_75b7eb2a31ef44309101438ce942bd49",
       "value": ""
      }
     },
     "f3461a4d15f84f24a2a0dc5ce2efcb28": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "f4ec175b82e04f8692f709cc939a34e1": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HBoxModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_9678f54890cc4d0191332343e07ebc3f",
        "IPY_MODEL_8701e5b81d67465399f576f444be7fee",
        "IPY_MODEL_d8230da554854c26a43c064d3cedc991"
       ],
       "layout": "IPY_MODEL_22ae89909a2f40288614ad4474402c57"
      }
     },
     "f6491d2a68424207b466c96e934c9806": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "f90628c33a0444f7b74376a8a4b97403": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "ProgressStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "facc7db7da074bdeac88cdc9cafd2088": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HBoxModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_e1f1dcb1e5114315aea9c08904440105",
        "IPY_MODEL_e05a63e494fc40c582cf927040aa2e39",
        "IPY_MODEL_198ca86646184a90835487f21ff56ea1"
       ],
       "layout": "IPY_MODEL_91d67aa82ba640c6abfb2e24ac800f5e"
      }
     },
     "fb9e568e413a4c36b7c6c8e0362b1dcf": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "ProgressStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": ""
      }
     },
     "fd30c9363dbf481397be72b2b66563b9": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HTMLModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_18bc1133b9f141d0b6ef8584081c1203",
       "placeholder": "​",
       "style": "IPY_MODEL_5775e674b12d471a88ebd31c048c3df2",
       "value": ""
      }
     },
     "fdd4fac183354ec0a23d28321d611e59": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "fe26c712dff74e70a7521c3f775ba9a3": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HBoxModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_a559675a9ded47f4a8d34cee1dcfcea2",
        "IPY_MODEL_019159dbab2a40218d10d56bd62b18a2",
        "IPY_MODEL_1a97b42800a747fb8393384fb12b370e"
       ],
       "layout": "IPY_MODEL_00539e03882345e995e54592ab4351cc"
      }
     }
    },
    "version_major": 2,
    "version_minor": 0
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}