{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "# Inverse design of an apodized grating coupler through shape\n",
        "\n",
        "optimization\n",
        "\n",
        "A grating coupler (GC) is a key photonic device used to couple light\n",
        "between optical fibers and on-chip waveguides by diffracting light at a\n",
        "specific angle. These devices often employ apodization, a technique that\n",
        "modifies the grating tooth parameters along the device length to improve\n",
        "efficiency and minimize reflection losses.\n",
        "\n",
        "In this notebook, we will use gradient-based optimization to determine\n",
        "the optimal grating tooth distribution. We start from a uniform grating\n",
        "coupler and modify the tooth and gap sizes simultaneously using gradient\n",
        "based optimization. Feature size constraints on the parameters enable\n",
        "the device to remain fabricable over the course of optimization. In just\n",
        "a handful of iterations, we achieve a design that outperforms an\n",
        "apodized grating coupler designed using semi-analytical methods.\n",
        "\n",
        "<img src=\"img/apodized_grating_feature_image_autograd.png\" width=400 alt=\"Schematic of the coupler\">\n",
        "\n",
        "While the simulations are performed using a 2D cross section, the same\n",
        "approach can be modified to 3D without much further complication.\n",
        "\n",
        "If you are interested in other inverse design examples using tidy3d, you\n",
        "can find many of them\n",
        "[here](https://docs.flexcompute.com/projects/tidy3d/en/latest/notebooks/docs/features/autograd.html).\n",
        "\n",
        "If you are unfamiliar with inverse design, we also recommend our [intro\n",
        "to inverse design\n",
        "tutorials](https://www.flexcompute.com/tidy3d/learning-center/inverse-design/)\n",
        "and our [primer on automatic differentiation with\n",
        "tidy3d](https://www.flexcompute.com/tidy3d/examples/notebooks/Autograd1Intro/)."
      ],
      "id": "f5681fe7-ac41-45da-a30b-a6529a5386ef"
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {},
      "outputs": [],
      "source": [
        "# as we are using autograd to perform gradient calculations, we need to import numpy from autograd's wrapper\n",
        "import autograd as ag\n",
        "import autograd.numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import tidy3d as td\n",
        "import tidy3d.web as web\n",
        "\n",
        "# we will use Tidy3D's built-in Adam helper to perform the optimization\n",
        "from tidy3d.plugins.autograd import adam, apply_updates"
      ],
      "id": "cb0093dc"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Basic Parameters\n",
        "\n",
        "First, we define the basic parameters used to define a uniform grating\n",
        "coupler for operation primarily in the C-band."
      ],
      "id": "94079658-e9d1-4e09-93bf-1ee4f9279d9a"
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {},
      "outputs": [],
      "source": [
        "lda0 = 1.55  # central wavelength\n",
        "n_ldas = 101  # number of wavelength points\n",
        "ldas = np.linspace(1.5, 1.6, n_ldas)  # wavelength range\n",
        "\n",
        "freq0 = td.C_0 / lda0  # central frequency\n",
        "freqs = td.C_0 / ldas  # frequency range\n",
        "\n",
        "num_freqs_objective = 5\n",
        "ldas_objective = np.linspace(1.5, 1.6, num_freqs_objective)\n",
        "freqs_objective = td.C_0 / ldas_objective\n",
        "\n",
        "fwidth = 0.5 * (np.max(freqs) - np.min(freqs))  # width of the source frequency range"
      ],
      "id": "e3aab631"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "The material platform is the common silicon on insulator (SOI) with a\n",
        "260 nm silicon thickness and 2 µm BOX thickness. The top cladding layer\n",
        "is 680 nm oxide. The grating will be partially etched with an etching\n",
        "depth of 160 nm."
      ],
      "id": "4b5ab013-a4b0-468a-81cf-394907bd685b"
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {},
      "outputs": [],
      "source": [
        "# define materials from the material library\n",
        "si = td.material_library[\"cSi\"][\"Palik_LowLoss\"]\n",
        "sio2 = td.material_library[\"SiO2\"][\"Palik_LowLoss\"]\n",
        "\n",
        "t_si = 0.26  # thickness of the silicon layer\n",
        "etch_depth = 0.16  # etching depth\n",
        "t_tox = 0.68  # top oxide layer thickness\n",
        "t_box = 2  # bottom oxide layer thickness"
      ],
      "id": "5345278a"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "We aim to design the GC for the standard single-mode fiber (SMF) with a\n",
        "mode field diameter (MFD) of 10.8 µm. The fiber is tilted at a 14.5\n",
        "degree angle."
      ],
      "id": "2364aa3a-45ca-41e2-9f07-12491dc7b035"
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {},
      "outputs": [],
      "source": [
        "theta = np.deg2rad(14.5)  # fiber tilt angle\n",
        "mfd = 10.8  # mode field diameter\n",
        "source_x = 4.5  # x position of the fiber\n",
        "\n",
        "N = 16  # number of grating teeth to create\n",
        "inf_eff = 1e3  # effective infinity\n",
        "buffer = 1.1 * lda0  # buffer spacing to pad the simulation domain"
      ],
      "id": "a8aefa82"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Next we compute the uniform tooth parameters (periodicity and fill\n",
        "fraction) to maximize efficiency."
      ],
      "id": "51caaa07-3e92-4f03-9751-50dd74a0ddbb"
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {},
      "outputs": [],
      "source": [
        "neff_unetch = 2.9  # effective index of the slab mode of the unetched waveguide\n",
        "neff_etch = 2.2  # effective index of the slab mode of the etched waveguide\n",
        "n_c = 1.44  # refractive index of the cladding (SiO2)\n",
        "theta_c = np.sin(theta) / n_c  # incident angle in the cladding\n",
        "\n",
        "\n",
        "def get_periodicity(fill_fraction: float) -> float:\n",
        "    \"\"\"periodicity (bragg condition) as function of fill fraction, angle, wavelength, and etching parameters.\"\"\"\n",
        "    return lda0 / (\n",
        "        fill_fraction * neff_unetch + (1 - fill_fraction) * neff_etch - n_c * np.sin(theta_c)\n",
        "    )\n",
        "\n",
        "\n",
        "f0 = 0.80\n",
        "periodicity = get_periodicity(f0)\n",
        "p_list = N * [periodicity]\n",
        "f_list = N * [f0]"
      ],
      "id": "bc207e5b"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "After obtaining $p_{\\text{i}}$ and $f_{\\text{i}}$, we will write a\n",
        "function to return the width of each air gap and each tooth. We will use\n",
        "these gap widths as the parameters for our design. The advantage is that\n",
        "we can impose bounds on these values to ensure the minimal feature size\n",
        "is above the fabrication constraint.\n",
        "\n",
        "Here we aim to have a minimal feature size above 60 nm. The current\n",
        "design has a minimal feature size right above it."
      ],
      "id": "6d61ebc9-e53a-466c-be67-d12e3c060238"
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {},
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "The minimal feature size is 123.46 nm."
          ]
        }
      ],
      "source": [
        "def get_widths(p_list, f_list):\n",
        "    # calculate the widths of air gaps and silicon teeth\n",
        "    return np.array([item for p, f in zip(p_list, f_list) for item in [p * (1 - f), p * f]])\n",
        "\n",
        "\n",
        "widths = get_widths(p_list, f_list)\n",
        "\n",
        "l_grating = np.sum(widths) + 3 * lda0  # total length of the GC\n",
        "\n",
        "# print the current minimal feature size\n",
        "print(f\"The minimal feature size is {1e3 * np.min(widths):.2f} nm.\")"
      ],
      "id": "7f5a2f54"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "To ensure the minimal feature size is maintained during the\n",
        "optimization, we will use a design parameter in the range from `-inf` to\n",
        "`inf` and project it to a `tanh` function that is bounded by the minimal\n",
        "and maximal feature sizes."
      ],
      "id": "366e4893-ab93-489f-a4a0-d1cca64dab9a"
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {},
      "outputs": [],
      "source": [
        "min_width = 0.08  # minimal feature size we want to maintain\n",
        "max_width = 1  # maximal feature size\n",
        "\n",
        "\n",
        "# function to project a design parameter between -inf to inf to between min_width and max_width\n",
        "def project(x):\n",
        "    return 0.5 * (max_width - min_width) * np.tanh(x) + 0.5 * (max_width + min_width)\n",
        "\n",
        "\n",
        "# function to inversely project a design parameter between min_width and max_width to between -inf to inf\n",
        "def inverse_project(y):\n",
        "    return np.arctanh((2 * (y - 0.5 * (max_width + min_width))) / (max_width - min_width))\n",
        "\n",
        "\n",
        "# project the widths to parameters between -inf to inf\n",
        "params0 = inverse_project(widths)"
      ],
      "id": "a9e19718"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Define Static Components of the Simulation\n",
        "\n",
        "Next we will define the components that don’t change during the\n",
        "optimization. These include the cladding layer, the output waveguide,\n",
        "the unetched layer, the bottom oxide layer, and the silicon substrate."
      ],
      "id": "8e9c7f69-c751-465a-bc47-6619ce573131"
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {},
      "outputs": [],
      "source": [
        "mask = td.Structure(\n",
        "    geometry=td.Box(size=(td.inf, td.inf, td.inf), center=(0, 0, 0)),\n",
        "    medium=td.Medium(),\n",
        ")\n",
        "\n",
        "# create the top oxide layer\n",
        "tox = td.Structure(\n",
        "    geometry=td.Box.from_bounds(rmin=(-inf_eff, -inf_eff, 0), rmax=(inf_eff, inf_eff, t_tox)),\n",
        "    medium=sio2,\n",
        ")\n",
        "\n",
        "# create the output waveguide\n",
        "slab_waveguide = td.Structure(\n",
        "    geometry=td.Box.from_bounds(rmin=(-inf_eff, -inf_eff, 0), rmax=(0, inf_eff, t_si)),\n",
        "    medium=si,\n",
        ")\n",
        "\n",
        "# create the unetched waveguide\n",
        "unetched_waveguide = td.Structure(\n",
        "    geometry=td.Box.from_bounds(rmin=(0, -inf_eff, 0), rmax=(inf_eff, inf_eff, t_si - etch_depth)),\n",
        "    medium=si,\n",
        ")\n",
        "\n",
        "# create the bottom oxide layer\n",
        "box = td.Structure(\n",
        "    geometry=td.Box.from_bounds(rmin=(-inf_eff, -inf_eff, -t_box), rmax=(inf_eff, inf_eff, 0)),\n",
        "    medium=sio2,\n",
        ")\n",
        "\n",
        "# create the silicon substrate layer\n",
        "substrate = td.Structure(\n",
        "    geometry=td.Box.from_bounds(\n",
        "        rmin=(-inf_eff, -inf_eff, -inf_eff), rmax=(inf_eff, inf_eff, -t_box)\n",
        "    ),\n",
        "    medium=si,\n",
        ")"
      ],
      "id": "249f4897"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "The source and monitor are not changed either. We use a\n",
        "[GaussianBeam](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.GaussianBeam.html#tidy3d.GaussianBeam)\n",
        "to represent the incident fiber mode. A\n",
        "[ModeMonitor](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.ModeMonitor.html#tidy3d.ModeMonitor)\n",
        "is placed at the output waveguide to measure the coupling efficiency."
      ],
      "id": "235ab1f0-d68a-4d94-8285-4fe082ebdeeb"
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {},
      "outputs": [],
      "source": [
        "gap = 1  # gap size between the source plane and the top surface of the cladding\n",
        "\n",
        "# define a gaussian beam source\n",
        "source = td.GaussianBeam(\n",
        "    size=(2 * mfd, td.inf, 0),\n",
        "    center=[source_x, 0, t_tox + gap],\n",
        "    source_time=td.GaussianPulse(freq0=freq0, fwidth=fwidth),\n",
        "    angle_theta=theta,\n",
        "    direction=\"-\",\n",
        "    waist_radius=mfd / 2,\n",
        "    pol_angle=np.pi / 2,  # 90 degree polarization angle for TE polarization\n",
        ")\n",
        "\n",
        "# define a mode monitor\n",
        "mode_monitor = td.ModeMonitor(\n",
        "    center=(-buffer / 2, 0, t_si / 2),\n",
        "    size=(0, td.inf, 6 * t_si),\n",
        "    freqs=freqs,\n",
        "    mode_spec=td.ModeSpec(num_modes=1, target_neff=3),\n",
        "    name=\"mode\",\n",
        ")"
      ],
      "id": "0ee183c1"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Simulate the Designed Apodized GC\n",
        "\n",
        "To simulate the designed GC and facility future optimization, we define\n",
        "a function that takes in an array of design parameters and returns a\n",
        "[Simulation](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.Simulation.html#tidy3d.Simulation)\n",
        "object. Note again that each design parameter has a range from `-inf` to\n",
        "`inf`. It will then be projected to a range between `min_width` and\n",
        "`max_width`."
      ],
      "id": "51f4c9a4-97e2-4284-971b-05d3d58d0d16"
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {},
      "outputs": [],
      "source": [
        "def make_2d_sim(design_parameters):\n",
        "    # calculate the widths of air gaps and silicon teeth\n",
        "    widths_si = project(design_parameters[1::2])\n",
        "    widths_air = project(design_parameters[::2])\n",
        "\n",
        "    # initialize the center and size of each silicon teeth\n",
        "    center = 0\n",
        "    size = 0\n",
        "\n",
        "    # create the grating geometries from the given widths\n",
        "    gratings = 0\n",
        "    for width_si, width_air in zip(widths_si, widths_air):\n",
        "        center += width_air + width_si / 2\n",
        "        size = width_si\n",
        "        gratings += td.Box(\n",
        "            center=(center, 0, t_si - etch_depth / 2), size=(size, td.inf, etch_depth)\n",
        "        )\n",
        "        center += width_si / 2\n",
        "\n",
        "    # create the grating structure\n",
        "    gratings = td.Structure(geometry=gratings, medium=si)\n",
        "\n",
        "    # create a box to represent the simulation domain box\n",
        "    sim_box = td.Box.from_bounds(\n",
        "        rmin=(-buffer, 0, -t_box - buffer / 2),\n",
        "        rmax=(l_grating + buffer, 0, t_si + buffer),\n",
        "    )\n",
        "\n",
        "    run_time = 1e-12  # simulation run time\n",
        "\n",
        "    # construct simulation\n",
        "    sim = td.Simulation(\n",
        "        center=sim_box.center,\n",
        "        size=sim_box.size,\n",
        "        grid_spec=td.GridSpec.auto(\n",
        "            min_steps_per_wvl=30, wavelength=lda0\n",
        "        ),  # use a fine grid to ensure the small features are well resolved\n",
        "        structures=[\n",
        "            mask,\n",
        "            tox,\n",
        "            gratings,\n",
        "            unetched_waveguide,\n",
        "            slab_waveguide,\n",
        "            box,\n",
        "            substrate,\n",
        "        ],\n",
        "        sources=[source],\n",
        "        monitors=[mode_monitor],\n",
        "        medium=sio2,\n",
        "        run_time=run_time,\n",
        "        boundary_spec=td.BoundarySpec(\n",
        "            x=td.Boundary.pml(),\n",
        "            y=td.Boundary.periodic(),  # set the boundary to periodic in y since it's a 2D simulation\n",
        "            z=td.Boundary.pml(),\n",
        "        ),\n",
        "    )\n",
        "\n",
        "    return sim"
      ],
      "id": "91a101e4"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Create the simulation for the designed apodized GC and visualize it."
      ],
      "id": "0f9e7d9e-d7bc-4526-abb4-afdde1fc9342"
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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Aj9lU3bp105o1a3TllVdWu9Znpbi4OE2dOlVr165Vnz59wnbcUNTRtm1bnXrq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\npEmTmt1fu3btNHLkSA0dOlRdunRRu3btlJubq2+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          }
        }
      ],
      "source": [
        "sim0 = make_2d_sim(params0)\n",
        "sim0.plot_eps(y=0, freq=freq0)\n",
        "plt.show()"
      ],
      "id": "2096a0e7"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Also visualize the grid to ensure it resolves the small features well."
      ],
      "id": "0c4c9c54-444d-4d71-8661-602c45505196"
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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          }
        }
      ],
      "source": [
        "ax = sim0.plot(y=0)\n",
        "sim0.plot_grid(y=0, ax=ax)\n",
        "ax.set_xlim(-0.1, 1)\n",
        "ax.set_ylim(0, 0.3)\n",
        "plt.show()"
      ],
      "id": "47cc9f60"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Run the simulation."
      ],
      "id": "1195c666-b440-479f-a90e-b5b2d537632a"
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:08:31 UTC </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'initial design'</span> with resource_id                     \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-3e5ce965-8f28-466d-a9b2-b3d07c101238'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-3e5ce965-8f28-466d-a9b2-b3d07c101238\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-3e5ce965-8f2</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-3e5ce965-8f28-466d-a9b2-b3d07c101238\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">8-466d-a9b2-b3d07c101238'</span></a>.                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/9b36e144-ddb6-41f8-8dd8-30b62b26a870\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"2a99ebd1cd4e4fc5a0406bdbfef0a484\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:08:32 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. This assumes the FDTD solver runs\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>for the full simulation time; if early shutoff is reached, the     \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>billed cost can be lower. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>billed FlexCredit cost after a simulation run.                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:08:35 UTC </span>status = queued                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"0e328ef9ef984797964cf2d23454c29b\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
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        },
        {
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          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:08:47 UTC </span>starting up solver                                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:08:48 UTC </span>running solver                                                     \n",
              "</pre>"
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        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"38244d0321b74e25883cde21cd49879f\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:08:53 UTC </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">47</span>%, exiting.                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>status = success                                                   \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View simulation result at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-3e5ce965-8f28-466d-a9b2-b3d07c101238\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-3e5ce965-8f2</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-3e5ce965-8f28-466d-a9b2-b3d07c101238\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">8-466d-a9b2-b3d07c101238'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"fa9a922c0f784312855a68dcae7ee268\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:08:54 UTC </span>Loading results from simulation_data.hdf5                          \n",
              "</pre>"
            ]
          }
        }
      ],
      "source": [
        "sim_data0 = web.run(simulation=sim0, task_name=\"initial design\")"
      ],
      "id": "cd260a98"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Result Visualization\n",
        "\n",
        "After the simulation is done, we can extract the coupling efficiency\n",
        "from the mode monitor data. In addition, we also calculate two important\n",
        "metrics: the maximum coupling efficiency and the 1dB bandwidth. The\n",
        "maximal coupling efficiency is about 2.7dB and the 1dB bandwidth is\n",
        "about 36 nm."
      ],
      "id": "7d810d0c-77fd-4864-9503-ba848b966e65"
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
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yyishJJMkSZIkSSqaLMcKkMzMzG1fp6enk56evtP799tvv7yOJEmSJEmSVKRZjhUgb7zx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\nPp3ExER69uwZRjxJ8eTtt+HZZ6OPPfwwnHpquHk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DzqdT3norHH10+JkkSZKU96pVg1Gj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\nK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          }
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "The 1dB bandwidth is 36.0 nm\n",
            "The maximum coupling efficiency is -2.74 dB."
          ]
        }
      ],
      "source": [
        "# function to calculate the coupling efficiency from simulation data\n",
        "def compute_ce(sim_data):\n",
        "    amp = sim_data[\"mode\"].amps.sel(mode_index=0, direction=\"-\").values\n",
        "    ce = np.abs(amp) ** 2  # transmission to the top waveguide\n",
        "    return ce\n",
        "\n",
        "\n",
        "def dB(ce):\n",
        "    return 10 * np.log10(ce)\n",
        "\n",
        "\n",
        "# calculate the coupling efficiency for the designed GC\n",
        "ce0 = compute_ce(sim_data0)\n",
        "\n",
        "# plot the coupling efficiency\n",
        "plt.plot(ldas, dB(ce0), c=\"red\", linewidth=2)\n",
        "plt.xlim(min(ldas), max(ldas))\n",
        "plt.ylim(-10, 0)\n",
        "plt.xlabel(\"Wavelength (µm)\")\n",
        "plt.ylabel(\"Coupling efficiency (dB)\")\n",
        "plt.grid()\n",
        "plt.show()\n",
        "\n",
        "\n",
        "# function to calculate the 1dB bandwidth from the coupling efficiency\n",
        "def bandwidth(ldas, ce):\n",
        "    max_ce = np.max(dB(ce))\n",
        "\n",
        "    threshold = max_ce - 1\n",
        "\n",
        "    within_1db = np.where(dB(ce) >= threshold)[0]\n",
        "\n",
        "    lambda_min = ldas[within_1db[0]]\n",
        "    lambda_max = ldas[within_1db[-1]]\n",
        "    bandwidth = lambda_max - lambda_min\n",
        "    return 1e3 * bandwidth\n",
        "\n",
        "\n",
        "# print the maximum coupling efficiency and 1dB bandwidth\n",
        "print(f\"The 1dB bandwidth is {bandwidth(ldas, ce0):.1f} nm\")\n",
        "print(f\"The maximum coupling efficiency is {np.max(dB(ce0)):.2f} dB.\")"
      ],
      "id": "2ee3c59c"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Optimize GC with Inverse Design to Maximize the Efficiency and Bandwidth\n",
        "\n",
        "In this part, we will apply inverse design to maximize the coupling\n",
        "efficiency of our coupling over the wavelength range from 1500 to 1600\n",
        "nm.\n",
        "\n",
        "To do this, we need to express our objective as a function of our\n",
        "parameters returning a single float value to maximize. This function\n",
        "will involve constructing, running, and postprocessing our simulation."
      ],
      "id": "852f7a92-b597-4c1d-bf0e-a382911b6f20"
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {},
      "outputs": [],
      "source": [
        "def J(design_parameters: np.ndarray) -> float:\n",
        "    sim = make_2d_sim(design_parameters)\n",
        "    sim_data = web.run(sim, task_name=\"GC_invdes\", verbose=True)\n",
        "    ce = np.sum(compute_ce(sim_data)) / n_ldas\n",
        "\n",
        "    return ce"
      ],
      "id": "59f5aad1"
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {},
      "outputs": [],
      "source": [
        "dJ = ag.value_and_grad(J)"
      ],
      "id": "b3d1b43e"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Before running the optimization, we can check the value and gradient of\n",
        "the initial design to ensure the gradient tracking is working properly."
      ],
      "id": "1df5d6a0-5995-4ae0-b036-3cc981db8169"
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:08:55 UTC </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'GC_invdes'</span> with resource_id                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-0aa7ca50-bcef-42c7-92e6-e759db293886'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-0aa7ca50-bcef-42c7-92e6-e759db293886\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-0aa7ca50-bce</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-0aa7ca50-bcef-42c7-92e6-e759db293886\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">f-42c7-92e6-e759db293886'</span></a>.                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/9b36e144-ddb6-41f8-8dd8-30b62b26a870\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"bdb1b316f3854a91b9a67ed018e642e5\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"95c06e9d8bab451fabfcb0c347d43d75\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:08:59 UTC </span>status = queued                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"c81e85aa3bee412c9965cf10958c24dc\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:09:13 UTC </span>starting up solver                                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"049918dba5a64950885544a1178b5740\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:09:19 UTC </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">47</span>%, exiting.                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>status = postprocess                                               \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"d727cf0cb12940b9b0d64d3e132ec5dd\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:09:26 UTC </span>status = success                                                   \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:09:28 UTC </span>View simulation result at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-0aa7ca50-bcef-42c7-92e6-e759db293886\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-0aa7ca50-bce</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-0aa7ca50-bcef-42c7-92e6-e759db293886\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">f-42c7-92e6-e759db293886'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"a11157028f61406cbeb19a21ac1c920f\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:09:29 UTC </span>Loading results from simulation_data.hdf5                          \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:09:30 UTC </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                       \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:09:33 UTC </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span> for the whole batch.                \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Use <span style=\"color: #008000; text-decoration-color: #008000\">'Batch.real_cost()'</span> to get the billed FlexCredit cost after    \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>completion.                                                        \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"210a00e90b4a432eabff9f693e28fec0\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:09:54 UTC </span>Batch complete.                                                    \n",
              "</pre>"
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          }
        },
        {
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          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
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              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"a82d03a8f08d4e82950a147f7e48409d\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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        },
        {
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          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
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        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "0.3390465892159393\n",
            "[-1.17321182e-02  6.28505441e-01  2.69946648e-02  5.84308310e-01\n",
            " -1.64972445e-03  1.32803981e-01 -2.03079973e-03 -2.04572945e-02\n",
            "  9.64456146e-04  6.00574356e-02  1.18689844e-02  5.72078254e-02\n",
            "  1.55931666e-02 -2.16742048e-02  4.13397433e-03 -7.84230979e-02\n",
            "  7.88709567e-03 -7.10540198e-02  1.24795132e-03 -8.56533503e-02\n",
            "  4.50736483e-03 -7.83018856e-02 -1.96388528e-03 -7.23079247e-02\n",
            "  2.53005638e-04 -5.06262475e-02 -3.73559248e-04 -3.75730912e-02\n",
            " -6.11800676e-04 -2.56284733e-02 -5.57500031e-04 -1.48503663e-02]\n",
            "CPU times: user 2.86 s, sys: 321 ms, total: 3.19 s\n",
            "Wall time: 1min"
          ]
        }
      ],
      "source": [
        "%%time\n",
        "\n",
        "val, grad = dJ(params0)\n",
        "print(val)\n",
        "print(grad)"
      ],
      "id": "17f03536"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "We will use the Adam optimizer to adjust the parameters for a number of\n",
        "iterations until we achieve a good performance."
      ],
      "id": "9f8c89d8-ddae-4de1-9300-f917be2bc2b2"
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:09:56 UTC </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'GC_invdes'</span> with resource_id                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-dff112db-b705-4a4e-bb41-bf77e6896cac'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
              "</pre>"
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-dff112db-b705-4a4e-bb41-bf77e6896cac\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-dff112db-b70</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-dff112db-b705-4a4e-bb41-bf77e6896cac\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">5-4a4e-bb41-bf77e6896cac'</span></a>.                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/9b36e144-ddb6-41f8-8dd8-30b62b26a870\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
              "</pre>"
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        {
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          "data": {
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"ee836f482f8844a1bdfccbd432e01cb1\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:09:59 UTC </span>status = queued                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"9c6c52dfa6324f17a734cc74c2f99c04\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:10:16 UTC </span>starting up solver                                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"188d427538fa4548811cdb62edf8d233\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:10:20 UTC </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">47</span>%, exiting.                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>status = postprocess                                               \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"fb5c031624fc4643b6f50f3990a354a1\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:10:27 UTC </span>status = success                                                   \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:10:29 UTC </span>View simulation result at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-dff112db-b705-4a4e-bb41-bf77e6896cac\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-dff112db-b70</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-dff112db-b705-4a4e-bb41-bf77e6896cac\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">5-4a4e-bb41-bf77e6896cac'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"fc63ad0d592345d199011435ee841fa7\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:10:30 UTC </span>Loading results from simulation_data.hdf5                          \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                       \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:10:33 UTC </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span> for the whole batch.                \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Use <span style=\"color: #008000; text-decoration-color: #008000\">'Batch.real_cost()'</span> to get the billed FlexCredit cost after    \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>completion.                                                        \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"bbec1af290d040118aef6073584e39b8\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:11:11 UTC </span>Batch complete.                                                    \n",
              "</pre>"
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          }
        },
        {
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          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"c363921bdea343fcabb6e157d24b1bae\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
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        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "step = 1\n",
            "    J = 3.390e-01\n",
            "    grad_norm = 8.9328e-01"
          ]
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:11:12 UTC </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'GC_invdes'</span> with resource_id                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-3234666f-dfec-4dad-a819-e9508cb01c71'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-3234666f-dfec-4dad-a819-e9508cb01c71\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-3234666f-dfe</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-3234666f-dfec-4dad-a819-e9508cb01c71\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">c-4dad-a819-e9508cb01c71'</span></a>.                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/9b36e144-ddb6-41f8-8dd8-30b62b26a870\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
              "</pre>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"32e7cbcc0fd44caf9fb006568f9a4e56\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"aff8341c539942b5add408f794637fdd\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:11:17 UTC </span>status = queued                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"16bb823ec1784739a9b3cae521692dce\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:11:27 UTC </span>status = preprocess                                                \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:11:31 UTC </span>starting up solver                                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:11:32 UTC </span>running solver                                                     \n",
              "</pre>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"2d2b891407b14b0f87041cc476c6ca42\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:11:35 UTC </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">48</span>%, exiting.                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:11:36 UTC </span>status = postprocess                                               \n",
              "</pre>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"529bf0879c134eab99ffea3c4f35fa44\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:11:43 UTC </span>status = success                                                   \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:11:45 UTC </span>View simulation result at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-3234666f-dfec-4dad-a819-e9508cb01c71\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-3234666f-dfe</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-3234666f-dfec-4dad-a819-e9508cb01c71\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">c-4dad-a819-e9508cb01c71'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"2ab89e670dc54dbdbd34632b787d7865\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:11:46 UTC </span>Loading results from simulation_data.hdf5                          \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                       \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:11:50 UTC </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span> for the whole batch.                \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Use <span style=\"color: #008000; text-decoration-color: #008000\">'Batch.real_cost()'</span> to get the billed FlexCredit cost after    \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>completion.                                                        \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"28542708e9f147409334f25a63eb405e\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:12:12 UTC </span>Batch complete.                                                    \n",
              "</pre>"
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"174bd3d9e42e438788f7b7aeaba7d0e3\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
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        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "step = 2\n",
            "    J = 3.173e-01\n",
            "    grad_norm = 9.2350e-01"
          ]
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:12:13 UTC </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'GC_invdes'</span> with resource_id                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-18acd1d0-2219-473e-8511-1a9bc0cd08d9'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-18acd1d0-2219-473e-8511-1a9bc0cd08d9\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-18acd1d0-221</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-18acd1d0-2219-473e-8511-1a9bc0cd08d9\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">9-473e-8511-1a9bc0cd08d9'</span></a>.                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/9b36e144-ddb6-41f8-8dd8-30b62b26a870\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"86ead148dd3d4833a04467fd80877535\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"c9c4143d0a4946919ee79637fe9a9482\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:12:19 UTC </span>status = queued                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"35baa2b4055f47c589f296775e9e5fe4\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:12:36 UTC </span>starting up solver                                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"491f72882f9f4b7dbdb49f6627998af1\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:12:42 UTC </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">47</span>%, exiting.                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>status = postprocess                                               \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"4d6285777a6d4b318b600b671e02f874\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:12:47 UTC </span>status = success                                                   \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:12:49 UTC </span>View simulation result at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-18acd1d0-2219-473e-8511-1a9bc0cd08d9\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-18acd1d0-221</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-18acd1d0-2219-473e-8511-1a9bc0cd08d9\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">9-473e-8511-1a9bc0cd08d9'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"9825f39b16fd48c18c6eb8b4f1f6d2e2\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:12:50 UTC </span>Loading results from simulation_data.hdf5                          \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                       \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:12:55 UTC </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span> for the whole batch.                \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Use <span style=\"color: #008000; text-decoration-color: #008000\">'Batch.real_cost()'</span> to get the billed FlexCredit cost after    \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>completion.                                                        \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"42b42d688be844ffa4d9e6195c8d638a\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:13:16 UTC </span>Batch complete.                                                    \n",
              "</pre>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
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        },
        {
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          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"e6c995d74c5d445ea734bf2462929acd\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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        },
        {
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          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
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        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "step = 3\n",
            "    J = 3.793e-01\n",
            "    grad_norm = 5.8213e-01"
          ]
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:13:17 UTC </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'GC_invdes'</span> with resource_id                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-e081b902-5d98-485c-b2de-70e9b3165cfe'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-e081b902-5d98-485c-b2de-70e9b3165cfe\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-e081b902-5d9</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-e081b902-5d98-485c-b2de-70e9b3165cfe\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">8-485c-b2de-70e9b3165cfe'</span></a>.                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/9b36e144-ddb6-41f8-8dd8-30b62b26a870\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"5059def4edfb4e1d9463ee798943de51\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"b0b9d6b6b54c4542863904e583e19e4e\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:13:21 UTC </span>status = queued                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"4328be78f1df4264a5735e89b9937f49\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:13:33 UTC </span>status = preprocess                                                \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:13:38 UTC </span>starting up solver                                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"1923d2ebea0d4e218d0591050fcef4e6\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:13:42 UTC </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">46</span>%, exiting.                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>status = postprocess                                               \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"116e78561c7f4c5ea8c307856aae3e2d\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:13:49 UTC </span>status = success                                                   \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:13:51 UTC </span>View simulation result at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-e081b902-5d98-485c-b2de-70e9b3165cfe\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-e081b902-5d9</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-e081b902-5d98-485c-b2de-70e9b3165cfe\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">8-485c-b2de-70e9b3165cfe'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"adabb622ab6b4d94882e0357cb8675ee\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:13:52 UTC </span>Loading results from simulation_data.hdf5                          \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                       \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:13:56 UTC </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span> for the whole batch.                \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Use <span style=\"color: #008000; text-decoration-color: #008000\">'Batch.real_cost()'</span> to get the billed FlexCredit cost after    \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>completion.                                                        \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"314540f3934f4d88b265d137a45a8b9f\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:14:18 UTC </span>Batch complete.                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"e2b78890805646aca4ee5ce7061cd0ae\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "step = 4\n",
            "    J = 3.860e-01\n",
            "    grad_norm = 7.2584e-01"
          ]
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:14:20 UTC </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'GC_invdes'</span> with resource_id                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-47926689-ad24-434e-922c-4802e892e631'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-47926689-ad24-434e-922c-4802e892e631\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-47926689-ad2</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-47926689-ad24-434e-922c-4802e892e631\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">4-434e-922c-4802e892e631'</span></a>.                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/9b36e144-ddb6-41f8-8dd8-30b62b26a870\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"70de044763ba4922b1ba77cf66bfa882\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"6965d48d16384377bbaea36186c90a93\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:14:26 UTC </span>status = queued                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"24eb29041720457c825b5d64754dcb16\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:14:37 UTC </span>status = preprocess                                                \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:14:42 UTC </span>starting up solver                                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"aec8394000f643d294a240b06a415ef9\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:14:47 UTC </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">45</span>%, exiting.                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>status = postprocess                                               \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"52ce5cfed05d43c1adf5b179fe42d425\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:14:55 UTC </span>status = success                                                   \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:14:57 UTC </span>View simulation result at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-47926689-ad24-434e-922c-4802e892e631\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-47926689-ad2</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-47926689-ad24-434e-922c-4802e892e631\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">4-434e-922c-4802e892e631'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"4d017867ca87416a8f1e2aff6515643b\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:14:58 UTC </span>Loading results from simulation_data.hdf5                          \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:14:59 UTC </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                       \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:15:02 UTC </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span> for the whole batch.                \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Use <span style=\"color: #008000; text-decoration-color: #008000\">'Batch.real_cost()'</span> to get the billed FlexCredit cost after    \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>completion.                                                        \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"19e7ef0923f342489c35296346387c59\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:15:24 UTC </span>Batch complete.                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"861ebe5c4ab94618bd7fd24c715ca3dc\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
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        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "step = 5\n",
            "    J = 3.884e-01\n",
            "    grad_norm = 5.9201e-01"
          ]
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:15:25 UTC </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'GC_invdes'</span> with resource_id                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-a965e191-2c2a-4d94-99f5-cf2b2220a1a8'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-a965e191-2c2a-4d94-99f5-cf2b2220a1a8\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-a965e191-2c2</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-a965e191-2c2a-4d94-99f5-cf2b2220a1a8\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">a-4d94-99f5-cf2b2220a1a8'</span></a>.                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/9b36e144-ddb6-41f8-8dd8-30b62b26a870\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
              "</pre>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"3a05d6be6e5c46d48f0df73e2d4f0858\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"eb8f4a71669748978df5990e09704a1a\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:15:31 UTC </span>status = queued                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
              "</pre>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"e3840d7b3c9b4d9e8a19e41dc674d24f\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:15:45 UTC </span>starting up solver                                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
              "</pre>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"3a9d018837674ccc8fa664623db89045\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:15:46 UTC </span>status = queued                                                    \n",
              "</pre>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"85fef755e51b4bfa9cf63a709a18f0e8\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:16:12 UTC </span>status = running                                                   \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:16:19 UTC </span>status = postprocess                                               \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:16:26 UTC </span>status = success                                                   \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:16:28 UTC </span>View simulation result at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-a965e191-2c2a-4d94-99f5-cf2b2220a1a8\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-a965e191-2c2</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-a965e191-2c2a-4d94-99f5-cf2b2220a1a8\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">a-4d94-99f5-cf2b2220a1a8'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
              "</pre>"
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          }
        },
        {
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              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
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              "</script>"
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          }
        },
        {
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          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Loading results from simulation_data.hdf5                          \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:16:29 UTC </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                       \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:16:32 UTC </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span> for the whole batch.                \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Use <span style=\"color: #008000; text-decoration-color: #008000\">'Batch.real_cost()'</span> to get the billed FlexCredit cost after    \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>completion.                                                        \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"30eda3d2441c40cca374dcc57a0c99db\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:16:52 UTC </span>Batch complete.                                                    \n",
              "</pre>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
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        },
        {
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          "data": {
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              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"b3f48b71df214cfea04d4a887a2072c6\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
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        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "step = 6\n",
            "    J = 3.900e-01\n",
            "    grad_norm = 6.7738e-01"
          ]
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:16:53 UTC </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'GC_invdes'</span> with resource_id                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-9d87e67b-bb0a-482a-abf3-0ead79fd2e55'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-9d87e67b-bb0a-482a-abf3-0ead79fd2e55\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-9d87e67b-bb0</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-9d87e67b-bb0a-482a-abf3-0ead79fd2e55\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">a-482a-abf3-0ead79fd2e55'</span></a>.                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/9b36e144-ddb6-41f8-8dd8-30b62b26a870\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"45df52cb9e61429bb271c3a34c2bf47d\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"f142d27c89d445e99b6015a6fb295970\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:16:58 UTC </span>status = queued                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"3560c49c74f24667b28c55934cce5cc1\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:17:11 UTC </span>starting up solver                                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"eb167f412f8f44cebcbea67cf6f4a81b\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:17:16 UTC </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">47</span>%, exiting.                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>status = postprocess                                               \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"c6a67e67177443daa0a31ebc08231e18\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:17:24 UTC </span>status = success                                                   \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:17:26 UTC </span>View simulation result at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-9d87e67b-bb0a-482a-abf3-0ead79fd2e55\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-9d87e67b-bb0</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-9d87e67b-bb0a-482a-abf3-0ead79fd2e55\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">a-482a-abf3-0ead79fd2e55'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"0c3deb4eeee3407d8e9627b3a31308d6\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Loading results from simulation_data.hdf5                          \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:17:27 UTC </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                       \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:17:31 UTC </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span> for the whole batch.                \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Use <span style=\"color: #008000; text-decoration-color: #008000\">'Batch.real_cost()'</span> to get the billed FlexCredit cost after    \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>completion.                                                        \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"81b2d04dae5c427a849be16c0d85545c\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:17:58 UTC </span>Batch complete.                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
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        },
        {
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          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"4d37b3ebdaec4a0b883ae8d43f2afb54\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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          }
        },
        {
          "output_type": "display_data",
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          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
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        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "step = 7\n",
            "    J = 4.029e-01\n",
            "    grad_norm = 6.0698e-01"
          ]
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:17:59 UTC </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'GC_invdes'</span> with resource_id                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-8bdb1ceb-cad8-4f5e-ae94-2def49657f61'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-8bdb1ceb-cad8-4f5e-ae94-2def49657f61\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-8bdb1ceb-cad</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-8bdb1ceb-cad8-4f5e-ae94-2def49657f61\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">8-4f5e-ae94-2def49657f61'</span></a>.                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/9b36e144-ddb6-41f8-8dd8-30b62b26a870\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
              "</pre>"
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        },
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              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
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              "</script>"
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        {
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          "data": {
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              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"1906ccc1b1614fab999f1c1c8b83f2a7\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:18:02 UTC </span>status = queued                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"a293719e969b4939bc8775f1a10038ec\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:18:10 UTC </span>status = preprocess                                                \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:18:14 UTC </span>starting up solver                                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:18:15 UTC </span>running solver                                                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"e04d24250b5844c8ada90705601ff887\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:18:20 UTC </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">47</span>%, exiting.                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>status = postprocess                                               \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"772e32a13ac5494c9de943f282c955e9\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:18:27 UTC </span>status = success                                                   \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:18:29 UTC </span>View simulation result at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-8bdb1ceb-cad8-4f5e-ae94-2def49657f61\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-8bdb1ceb-cad</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-8bdb1ceb-cad8-4f5e-ae94-2def49657f61\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">8-4f5e-ae94-2def49657f61'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"cacb1d6629e04f4db42ea45224e488b9\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:18:30 UTC </span>Loading results from simulation_data.hdf5                          \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:18:31 UTC </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                       \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:18:34 UTC </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span> for the whole batch.                \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Use <span style=\"color: #008000; text-decoration-color: #008000\">'Batch.real_cost()'</span> to get the billed FlexCredit cost after    \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>completion.                                                        \n",
              "</pre>"
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          }
        },
        {
          "output_type": "display_data",
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          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"67b63c90ad95427399595c5c955114c4\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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        },
        {
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          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:18:56 UTC </span>Batch complete.                                                    \n",
              "</pre>"
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              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
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        },
        {
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          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"3944b39c15db448fa560eddfb1764a44\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
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        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "step = 8\n",
            "    J = 4.214e-01\n",
            "    grad_norm = 4.2170e-01"
          ]
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:18:57 UTC </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'GC_invdes'</span> with resource_id                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-cb454847-4706-4757-bc49-6f6411e16160'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
              "</pre>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-cb454847-4706-4757-bc49-6f6411e16160\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-cb454847-470</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-cb454847-4706-4757-bc49-6f6411e16160\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">6-4757-bc49-6f6411e16160'</span></a>.                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/9b36e144-ddb6-41f8-8dd8-30b62b26a870\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
              "</pre>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
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              "</script>"
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        },
        {
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          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"5f78f682074c47e79a96b9d3cdf3465f\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:19:01 UTC </span>status = queued                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"4b02b36ba93d4c279c1ed6a93c2ddccd\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:19:11 UTC </span>status = preprocess                                                \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:19:16 UTC </span>starting up solver                                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
              "</pre>"
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          }
        },
        {
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          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"a075fafe98ef45c59a959243af58b9f1\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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        },
        {
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          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:19:20 UTC </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">45</span>%, exiting.                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:19:21 UTC </span>status = postprocess                                               \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"b892d4656cab4ce0838c79f842b6af3c\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:19:26 UTC </span>status = success                                                   \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:19:28 UTC </span>View simulation result at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-cb454847-4706-4757-bc49-6f6411e16160\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-cb454847-470</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-cb454847-4706-4757-bc49-6f6411e16160\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">6-4757-bc49-6f6411e16160'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"d1e6be0e4e91437396fc595e88ca25af\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Loading results from simulation_data.hdf5                          \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:19:29 UTC </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                       \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:19:31 UTC </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span> for the whole batch.                \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Use <span style=\"color: #008000; text-decoration-color: #008000\">'Batch.real_cost()'</span> to get the billed FlexCredit cost after    \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>completion.                                                        \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"ee3fa6cab3674fed86b2278eb9733d8e\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:19:56 UTC </span>Batch complete.                                                    \n",
              "</pre>"
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        },
        {
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          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"6b9cc3037c4e449296f26628e64bfc1f\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
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        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "step = 9\n",
            "    J = 4.287e-01\n",
            "    grad_norm = 3.5623e-01"
          ]
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:19:57 UTC </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'GC_invdes'</span> with resource_id                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-51449963-13a8-4d7e-9f69-613a8c95c813'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-51449963-13a8-4d7e-9f69-613a8c95c813\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-51449963-13a</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-51449963-13a8-4d7e-9f69-613a8c95c813\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">8-4d7e-9f69-613a8c95c813'</span></a>.                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/9b36e144-ddb6-41f8-8dd8-30b62b26a870\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"9dee5dd046954a6ab801464aba6082cc\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"d71fd15fbcf74806b03177f9e38f98d2\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:20:02 UTC </span>status = queued                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"ee74d6aa09e54d6399f32720e847bce1\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:20:16 UTC </span>starting up solver                                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"4a8f74dde60b40ed9c5290c3fcb968af\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:20:21 UTC </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">43</span>%, exiting.                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:20:22 UTC </span>status = postprocess                                               \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"793c7fd3b8e14b5a93cd7ba9f50b62c0\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:20:27 UTC </span>status = success                                                   \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:20:29 UTC </span>View simulation result at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-51449963-13a8-4d7e-9f69-613a8c95c813\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-51449963-13a</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-51449963-13a8-4d7e-9f69-613a8c95c813\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">8-4d7e-9f69-613a8c95c813'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
              "</pre>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"394632291694484c9679e363146e324d\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Loading results from simulation_data.hdf5                          \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:20:30 UTC </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                       \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:20:33 UTC </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span> for the whole batch.                \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Use <span style=\"color: #008000; text-decoration-color: #008000\">'Batch.real_cost()'</span> to get the billed FlexCredit cost after    \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>completion.                                                        \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"50bf059d5b6a42a58b40c005ad5751d6\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:20:55 UTC </span>Batch complete.                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"0c7ac6829da540d3bbef9103085e75ea\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "step = 10\n",
            "    J = 4.324e-01\n",
            "    grad_norm = 5.1949e-01"
          ]
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:20:56 UTC </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'GC_invdes'</span> with resource_id                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-a63c1550-2f22-42d0-af93-8778452ecb02'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-a63c1550-2f22-42d0-af93-8778452ecb02\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-a63c1550-2f2</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-a63c1550-2f22-42d0-af93-8778452ecb02\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">2-42d0-af93-8778452ecb02'</span></a>.                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/9b36e144-ddb6-41f8-8dd8-30b62b26a870\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"6332746885154fc0b269bfe043294880\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"2ba60067d5564d638af3fa6274b12d3c\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:20:59 UTC </span>status = queued                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"c42b1197a575433b96338ad8935aadae\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:21:21 UTC </span>starting up solver                                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:21:22 UTC </span>running solver                                                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"4b38f15ad10741ecb8c37b371d7c118a\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:21:27 UTC </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">43</span>%, exiting.                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>status = postprocess                                               \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"10e1e6d9a7c7411b9e88f7d094b5160f\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:21:35 UTC </span>status = success                                                   \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:21:37 UTC </span>View simulation result at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-a63c1550-2f22-42d0-af93-8778452ecb02\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-a63c1550-2f2</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-a63c1550-2f22-42d0-af93-8778452ecb02\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">2-42d0-af93-8778452ecb02'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"7cd97b65cbad4ae697c483924436781f\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Loading results from simulation_data.hdf5                          \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:21:38 UTC </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                       \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:21:41 UTC </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span> for the whole batch.                \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Use <span style=\"color: #008000; text-decoration-color: #008000\">'Batch.real_cost()'</span> to get the billed FlexCredit cost after    \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>completion.                                                        \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"6abb1dbdda6b488cbd81384ab8d55675\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:22:03 UTC </span>Batch complete.                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"5318b11a4255418eba369ab3d5fabb5e\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "step = 11\n",
            "    J = 4.373e-01\n",
            "    grad_norm = 4.7082e-01"
          ]
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:22:04 UTC </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'GC_invdes'</span> with resource_id                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-572c6f95-8b63-4a90-8d17-5ecbf514f6d5'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-572c6f95-8b63-4a90-8d17-5ecbf514f6d5\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-572c6f95-8b6</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-572c6f95-8b63-4a90-8d17-5ecbf514f6d5\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">3-4a90-8d17-5ecbf514f6d5'</span></a>.                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/9b36e144-ddb6-41f8-8dd8-30b62b26a870\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"f23525c5e1a04771b1cbc707e588bef3\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"a92d8334b7774e378e3072f75e673ce7\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:22:07 UTC </span>status = queued                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"a84de90cc120415887e1feb5fcf2fb56\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:22:21 UTC </span>starting up solver                                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:22:22 UTC </span>running solver                                                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"068e20b871fd4e9caa1546625601af6b\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:22:27 UTC </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">43</span>%, exiting.                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>status = postprocess                                               \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"678b4a76594b401e87f60ec6f5b07587\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:22:34 UTC </span>status = success                                                   \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:22:36 UTC </span>View simulation result at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-572c6f95-8b63-4a90-8d17-5ecbf514f6d5\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-572c6f95-8b6</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-572c6f95-8b63-4a90-8d17-5ecbf514f6d5\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">3-4a90-8d17-5ecbf514f6d5'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"ea13f513a5994d19b8ce871daa6f3520\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:22:37 UTC </span>Loading results from simulation_data.hdf5                          \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:22:38 UTC </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                       \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:22:40 UTC </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span> for the whole batch.                \n",
              "</pre>"
            ]
          }
        },
        {
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          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Use <span style=\"color: #008000; text-decoration-color: #008000\">'Batch.real_cost()'</span> to get the billed FlexCredit cost after    \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>completion.                                                        \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"f7d1edc135b54a03857e2c302d144870\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:23:08 UTC </span>Batch complete.                                                    \n",
              "</pre>"
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          }
        },
        {
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          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"7bd2dc5b6e234c11bfe24d50ef2220c0\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
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        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "step = 12\n",
            "    J = 4.450e-01\n",
            "    grad_norm = 4.3408e-01"
          ]
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:23:09 UTC </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'GC_invdes'</span> with resource_id                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-381cd62d-417b-49ce-a4cd-bdac542eb083'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
              "</pre>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-381cd62d-417b-49ce-a4cd-bdac542eb083\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-381cd62d-417</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-381cd62d-417b-49ce-a4cd-bdac542eb083\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">b-49ce-a4cd-bdac542eb083'</span></a>.                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/9b36e144-ddb6-41f8-8dd8-30b62b26a870\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
              "</pre>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"50a803bd09104cdab2a8aa56993e43c4\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"4012fa8d0c95409191ad1956b3bc6902\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:23:14 UTC </span>status = queued                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"bdf7bddee27b4745b661aab54bff8dfd\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:23:28 UTC </span>starting up solver                                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"6bd8076da7e64750b4c593eeb760fafa\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:23:34 UTC </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">42</span>%, exiting.                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>status = postprocess                                               \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"17b7bf72d01143b1b90b6a537455e5ed\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:23:41 UTC </span>status = success                                                   \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:23:43 UTC </span>View simulation result at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-381cd62d-417b-49ce-a4cd-bdac542eb083\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-381cd62d-417</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-381cd62d-417b-49ce-a4cd-bdac542eb083\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">b-49ce-a4cd-bdac542eb083'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"3740110c4a434a32a7ad66a4458c883b\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:23:44 UTC </span>Loading results from simulation_data.hdf5                          \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                       \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:23:47 UTC </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span> for the whole batch.                \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Use <span style=\"color: #008000; text-decoration-color: #008000\">'Batch.real_cost()'</span> to get the billed FlexCredit cost after    \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>completion.                                                        \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"10c1ee452e924434939ca97f7f745589\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:24:09 UTC </span>Batch complete.                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"7d9190b49ced4d9bab34e7bf6f07e28f\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
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        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "step = 13\n",
            "    J = 4.516e-01\n",
            "    grad_norm = 3.2819e-01"
          ]
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:24:10 UTC </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'GC_invdes'</span> with resource_id                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-dd57c35a-b048-474d-8278-a00ae7ada0ff'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-dd57c35a-b048-474d-8278-a00ae7ada0ff\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-dd57c35a-b04</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-dd57c35a-b048-474d-8278-a00ae7ada0ff\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">8-474d-8278-a00ae7ada0ff'</span></a>.                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/9b36e144-ddb6-41f8-8dd8-30b62b26a870\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"504a5a12f75c46ff832e1ca859aa19d7\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"de3ef60cb19b4417bd73a5f810469ab3\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:24:15 UTC </span>status = queued                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"fccb54d2d06d458eb5eeba95688f0ba0\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:24:27 UTC </span>status = preprocess                                                \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:24:32 UTC </span>starting up solver                                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"be39de77892f4f4b9414b139985d56b9\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:24:36 UTC </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">42</span>%, exiting.                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>status = postprocess                                               \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"69604a1acaf74ccb99f867cf98dad649\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:24:43 UTC </span>status = success                                                   \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:24:45 UTC </span>View simulation result at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-dd57c35a-b048-474d-8278-a00ae7ada0ff\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-dd57c35a-b04</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-dd57c35a-b048-474d-8278-a00ae7ada0ff\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">8-474d-8278-a00ae7ada0ff'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"4a1accae7f6c4323ad3432fbde91be10\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:24:46 UTC </span>Loading results from simulation_data.hdf5                          \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:24:47 UTC </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                       \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:24:49 UTC </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span> for the whole batch.                \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Use <span style=\"color: #008000; text-decoration-color: #008000\">'Batch.real_cost()'</span> to get the billed FlexCredit cost after    \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>completion.                                                        \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"36dd624560ac491f8df1a631a384e0ea\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:25:09 UTC </span>Batch complete.                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"f95762f69e1049598c3386e8b718722f\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "step = 14\n",
            "    J = 4.549e-01\n",
            "    grad_norm = 3.5407e-01"
          ]
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:25:10 UTC </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'GC_invdes'</span> with resource_id                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-fa00e1f8-b97b-4b50-9a09-23817692d1c5'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-fa00e1f8-b97b-4b50-9a09-23817692d1c5\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-fa00e1f8-b97</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-fa00e1f8-b97b-4b50-9a09-23817692d1c5\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">b-4b50-9a09-23817692d1c5'</span></a>.                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/9b36e144-ddb6-41f8-8dd8-30b62b26a870\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"09e692aadf6b4c65aa24c21a33778bf2\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"32ad0e8e327b4190a6694c498326325f\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:25:15 UTC </span>status = queued                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"bf635fd18f514b7da47270acb328a294\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:25:31 UTC </span>starting up solver                                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"f5546cbfe8de4bfa9c56ab46d6bcb820\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:25:37 UTC </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">42</span>%, exiting.                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>status = postprocess                                               \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"2f025af6be984d17bd3ddd8834e75042\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:25:42 UTC </span>status = success                                                   \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:25:44 UTC </span>View simulation result at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-fa00e1f8-b97b-4b50-9a09-23817692d1c5\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-fa00e1f8-b97</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-fa00e1f8-b97b-4b50-9a09-23817692d1c5\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">b-4b50-9a09-23817692d1c5'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"ad08f6eff3264db1b5c23bc575b8e2eb\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:25:45 UTC </span>Loading results from simulation_data.hdf5                          \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:25:46 UTC </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                       \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:25:48 UTC </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span> for the whole batch.                \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Use <span style=\"color: #008000; text-decoration-color: #008000\">'Batch.real_cost()'</span> to get the billed FlexCredit cost after    \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>completion.                                                        \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"6f2861384c9e43f28200fae790608d9e\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:27:11 UTC </span>Batch complete.                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"36c681cafc2740b9a156961f713e9a4d\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "step = 15\n",
            "    J = 4.580e-01\n",
            "    grad_norm = 3.0350e-01"
          ]
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:27:12 UTC </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'GC_invdes'</span> with resource_id                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-43a96e60-6067-45d2-a7cc-a748117349f9'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-43a96e60-6067-45d2-a7cc-a748117349f9\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-43a96e60-606</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-43a96e60-6067-45d2-a7cc-a748117349f9\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">7-45d2-a7cc-a748117349f9'</span></a>.                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/9b36e144-ddb6-41f8-8dd8-30b62b26a870\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"c13170647ac248798d9e99766ea02107\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"7c7eea787ebf4e4eb19e86d9c9fc6168\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:27:15 UTC </span>status = queued                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"ebd828f744044241a4b17e32da05f3c5\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:27:25 UTC </span>status = preprocess                                                \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:27:29 UTC </span>starting up solver                                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:27:30 UTC </span>running solver                                                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"19828e1c52714d57a1fbd26f03ee957f\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:27:32 UTC </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">42</span>%, exiting.                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>status = postprocess                                               \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"39faff6255284d9396496b3e803783d7\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:27:40 UTC </span>status = success                                                   \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:27:42 UTC </span>View simulation result at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-43a96e60-6067-45d2-a7cc-a748117349f9\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-43a96e60-606</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-43a96e60-6067-45d2-a7cc-a748117349f9\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">7-45d2-a7cc-a748117349f9'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"0a715512d70c41dd82f2cb5fc989eeff\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Loading results from simulation_data.hdf5                          \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:27:43 UTC </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                       \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:27:45 UTC </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span> for the whole batch.                \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Use <span style=\"color: #008000; text-decoration-color: #008000\">'Batch.real_cost()'</span> to get the billed FlexCredit cost after    \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>completion.                                                        \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"20e41ebda9eb4fc48729c9e12616130e\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:28:07 UTC </span>Batch complete.                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"20e62ce7bd0d419b9fe2b3192f20bc90\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
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        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "step = 16\n",
            "    J = 4.596e-01\n",
            "    grad_norm = 3.4958e-01"
          ]
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:28:08 UTC </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'GC_invdes'</span> with resource_id                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-1a2ce4c3-befe-4a41-93f5-3cba7053b837'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-1a2ce4c3-befe-4a41-93f5-3cba7053b837\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-1a2ce4c3-bef</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-1a2ce4c3-befe-4a41-93f5-3cba7053b837\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">e-4a41-93f5-3cba7053b837'</span></a>.                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/9b36e144-ddb6-41f8-8dd8-30b62b26a870\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
              "</pre>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"42b2857c909e439292e0e34c3de99dbf\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"6e1f0a05c37f4e7db5a8ce4ee204cfab\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:28:13 UTC </span>status = queued                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"be2acd262445498488ac7cc01824f72e\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:28:34 UTC </span>status = preprocess                                                \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:28:38 UTC </span>starting up solver                                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:28:39 UTC </span>running solver                                                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"f0dad0efda7e4a0b9d1df2eec9140c67\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:28:41 UTC </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">41</span>%, exiting.                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>status = postprocess                                               \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"f553ceedd6af4f2da944c8fe0abc0312\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:28:48 UTC </span>status = success                                                   \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:28:50 UTC </span>View simulation result at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-1a2ce4c3-befe-4a41-93f5-3cba7053b837\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-1a2ce4c3-bef</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-1a2ce4c3-befe-4a41-93f5-3cba7053b837\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">e-4a41-93f5-3cba7053b837'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
              "</pre>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"56f794548ce648fe91b03fc970782d04\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:28:51 UTC </span>Loading results from simulation_data.hdf5                          \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                       \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:28:55 UTC </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span> for the whole batch.                \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Use <span style=\"color: #008000; text-decoration-color: #008000\">'Batch.real_cost()'</span> to get the billed FlexCredit cost after    \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>completion.                                                        \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"d1b692c740324fc980ffc9958b14c635\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:29:16 UTC </span>Batch complete.                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"5fd000b4093e4dcf9681c14145cef041\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "step = 17\n",
            "    J = 4.650e-01\n",
            "    grad_norm = 2.7680e-01"
          ]
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:29:17 UTC </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'GC_invdes'</span> with resource_id                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-9fe21ded-984d-4f7a-b163-2c246577d3cc'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-9fe21ded-984d-4f7a-b163-2c246577d3cc\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-9fe21ded-984</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-9fe21ded-984d-4f7a-b163-2c246577d3cc\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">d-4f7a-b163-2c246577d3cc'</span></a>.                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/9b36e144-ddb6-41f8-8dd8-30b62b26a870\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"f684d93bebb84281a4a62ebcf4ff7b9f\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"2b69f36e828d4db7ba1f346c21491d44\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:29:21 UTC </span>status = queued                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"2894d7e911ec4862b5527e82af21a4a1\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:29:31 UTC </span>status = preprocess                                                \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:29:36 UTC </span>starting up solver                                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"11cd369d967749baaa69c10556999ca3\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:29:40 UTC </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">41</span>%, exiting.                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>status = postprocess                                               \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"fd71dce601a44117a7ef9001b76c59f9\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:29:47 UTC </span>status = success                                                   \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:29:49 UTC </span>View simulation result at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-9fe21ded-984d-4f7a-b163-2c246577d3cc\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-9fe21ded-984</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-9fe21ded-984d-4f7a-b163-2c246577d3cc\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">d-4f7a-b163-2c246577d3cc'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"8927210a18a243d199ee0b9fa63f9ffc\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:29:50 UTC </span>Loading results from simulation_data.hdf5                          \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:29:51 UTC </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                       \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:29:56 UTC </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span> for the whole batch.                \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Use <span style=\"color: #008000; text-decoration-color: #008000\">'Batch.real_cost()'</span> to get the billed FlexCredit cost after    \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>completion.                                                        \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"4a41c3a33ae54febad5aadfd71f913e4\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:30:31 UTC </span>Batch complete.                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"9666b5d5c3ce426dbd0ae1218708ae98\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "step = 18\n",
            "    J = 4.681e-01\n",
            "    grad_norm = 2.3597e-01"
          ]
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:30:32 UTC </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'GC_invdes'</span> with resource_id                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-eedde884-4c61-4394-8057-bd12e69f2cd4'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-eedde884-4c61-4394-8057-bd12e69f2cd4\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-eedde884-4c6</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-eedde884-4c61-4394-8057-bd12e69f2cd4\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">1-4394-8057-bd12e69f2cd4'</span></a>.                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/9b36e144-ddb6-41f8-8dd8-30b62b26a870\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"4bb9951be5304e7db73da88691b0d56a\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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        },
        {
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          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"64a419a204dc4a6a8c86bf56fece5698\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:30:37 UTC </span>status = queued                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"428a7ff8ea5843d39362905c9bb17535\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:31:31 UTC </span>status = preprocess                                                \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:31:35 UTC </span>starting up solver                                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"14a4394bf0e84188b48e29b4a652d389\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:31:41 UTC </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">41</span>%, exiting.                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>status = postprocess                                               \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"1bf5d7dc393146f6a2a12ca34db26b55\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:31:49 UTC </span>status = success                                                   \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:31:51 UTC </span>View simulation result at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-eedde884-4c61-4394-8057-bd12e69f2cd4\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-eedde884-4c6</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-eedde884-4c61-4394-8057-bd12e69f2cd4\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">1-4394-8057-bd12e69f2cd4'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"e2bc4297a2644a5da2106c4ad812241b\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:31:52 UTC </span>Loading results from simulation_data.hdf5                          \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                       \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:31:55 UTC </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span> for the whole batch.                \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Use <span style=\"color: #008000; text-decoration-color: #008000\">'Batch.real_cost()'</span> to get the billed FlexCredit cost after    \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>completion.                                                        \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"5c20fc81b65a40d887580dd976d4522a\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:32:17 UTC </span>Batch complete.                                                    \n",
              "</pre>"
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        },
        {
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          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"6411fdd504eb43d0bdc111bf0426bccd\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
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        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "step = 19\n",
            "    J = 4.691e-01\n",
            "    grad_norm = 2.8568e-01"
          ]
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:32:19 UTC </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'GC_invdes'</span> with resource_id                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-41d6ea84-7759-4cf6-99fc-c1b35b82256d'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-41d6ea84-7759-4cf6-99fc-c1b35b82256d\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-41d6ea84-775</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-41d6ea84-7759-4cf6-99fc-c1b35b82256d\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">9-4cf6-99fc-c1b35b82256d'</span></a>.                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/9b36e144-ddb6-41f8-8dd8-30b62b26a870\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
              "</pre>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"33d6f91ec0e54d068e6fb91c860e8cfb\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
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        },
        {
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          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"e6f89d6feafd47d28a16d50dabb39b0f\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:32:23 UTC </span>status = queued                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"fc8a0faa52024e5da10efdcc0cb7150f\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:32:38 UTC </span>starting up solver                                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
              "</pre>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"50ab8741e22b4c5aa418a2fe989a30f1\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:32:44 UTC </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">42</span>%, exiting.                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>status = postprocess                                               \n",
              "</pre>"
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        },
        {
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          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"44fd2c4e9d014ec5a1e26f56b8cb71dc\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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        },
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            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:32:49 UTC </span>status = success                                                   \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:32:51 UTC </span>View simulation result at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-41d6ea84-7759-4cf6-99fc-c1b35b82256d\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-41d6ea84-775</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-41d6ea84-7759-4cf6-99fc-c1b35b82256d\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">9-4cf6-99fc-c1b35b82256d'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"bf53af500c7b4a9087f53244f4b5f698\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:32:52 UTC </span>Loading results from simulation_data.hdf5                          \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                       \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:32:55 UTC </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span> for the whole batch.                \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Use <span style=\"color: #008000; text-decoration-color: #008000\">'Batch.real_cost()'</span> to get the billed FlexCredit cost after    \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>completion.                                                        \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"c0c2f1666f764789afb5c9c414733e42\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:33:16 UTC </span>Batch complete.                                                    \n",
              "</pre>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
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        },
        {
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          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"7b21fbe2f18c4a1ea2448f69497bc8ba\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
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        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "step = 20\n",
            "    J = 4.715e-01\n",
            "    grad_norm = 2.6598e-01"
          ]
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:33:17 UTC </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'GC_invdes'</span> with resource_id                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-ab0bc3dd-1328-45bf-aa91-59bb7321df20'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-ab0bc3dd-1328-45bf-aa91-59bb7321df20\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-ab0bc3dd-132</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-ab0bc3dd-1328-45bf-aa91-59bb7321df20\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">8-45bf-aa91-59bb7321df20'</span></a>.                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/9b36e144-ddb6-41f8-8dd8-30b62b26a870\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"8bb8b0508cd043cb94426968471c4c3b\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"b2930cd5212d4d18a96efd27a3f3d821\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:33:22 UTC </span>status = queued                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"74d2328eaed34546b69a28678d562dea\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:33:41 UTC </span>starting up solver                                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
              "</pre>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"21517efcf6dc45b3ae1b36caf0f59378\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:33:47 UTC </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">41</span>%, exiting.                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>status = postprocess                                               \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"53e3b1944343448dad7d70fcefe5188d\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:33:54 UTC </span>status = success                                                   \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:33:56 UTC </span>View simulation result at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-ab0bc3dd-1328-45bf-aa91-59bb7321df20\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-ab0bc3dd-132</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-ab0bc3dd-1328-45bf-aa91-59bb7321df20\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">8-45bf-aa91-59bb7321df20'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"819faaa512674c0d9158cb0f75e709de\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:33:57 UTC </span>Loading results from simulation_data.hdf5                          \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                       \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:34:02 UTC </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span> for the whole batch.                \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Use <span style=\"color: #008000; text-decoration-color: #008000\">'Batch.real_cost()'</span> to get the billed FlexCredit cost after    \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>completion.                                                        \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
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              "</script>"
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:34:25 UTC </span>Batch complete.                                                    \n",
              "</pre>"
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          }
        },
        {
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          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
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        },
        {
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          "metadata": {},
          "data": {
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              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"d26bc6e4c9ee4ca892a1338d2b25c19b\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
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        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "step = 21\n",
            "    J = 4.740e-01\n",
            "    grad_norm = 2.0068e-01"
          ]
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:34:26 UTC </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'GC_invdes'</span> with resource_id                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-dd2d544a-f0dd-4bac-abfd-bf645ec1af36'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
              "</pre>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-dd2d544a-f0dd-4bac-abfd-bf645ec1af36\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-dd2d544a-f0d</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-dd2d544a-f0dd-4bac-abfd-bf645ec1af36\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">d-4bac-abfd-bf645ec1af36'</span></a>.                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/9b36e144-ddb6-41f8-8dd8-30b62b26a870\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
              "</pre>"
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"be0ccc2a201a43e1ac621d2da900f037\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"90d2d95259a34df2a4bc6276cea3c063\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:34:29 UTC </span>status = queued                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"90b82839f6b843a7bf709200ce540b03\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:34:41 UTC </span>starting up solver                                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"1842716e4bae4d9ebb93759681ecd080\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:34:48 UTC </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">41</span>%, exiting.                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>status = postprocess                                               \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"b356b7fc13634260a8ad1a39953bebff\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:34:55 UTC </span>status = success                                                   \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:34:57 UTC </span>View simulation result at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-dd2d544a-f0dd-4bac-abfd-bf645ec1af36\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-dd2d544a-f0d</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-dd2d544a-f0dd-4bac-abfd-bf645ec1af36\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">d-4bac-abfd-bf645ec1af36'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"c24da75b0c7344ad870aaaaafc25e015\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:34:58 UTC </span>Loading results from simulation_data.hdf5                          \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:34:59 UTC </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                       \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:35:02 UTC </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span> for the whole batch.                \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Use <span style=\"color: #008000; text-decoration-color: #008000\">'Batch.real_cost()'</span> to get the billed FlexCredit cost after    \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>completion.                                                        \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"ef719d00eb4943d68ea573abf32efa59\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:35:22 UTC </span>Batch complete.                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"1942cc846a8246cba4c19911824fe2e6\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "step = 22\n",
            "    J = 4.742e-01\n",
            "    grad_norm = 2.9551e-01"
          ]
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:35:24 UTC </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'GC_invdes'</span> with resource_id                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-d3fb4fbf-4fcf-4f4c-affb-a8777e15ae58'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-d3fb4fbf-4fcf-4f4c-affb-a8777e15ae58\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-d3fb4fbf-4fc</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-d3fb4fbf-4fcf-4f4c-affb-a8777e15ae58\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">f-4f4c-affb-a8777e15ae58'</span></a>.                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/9b36e144-ddb6-41f8-8dd8-30b62b26a870\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
              "</pre>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"168f7ed825f84966beedd4df00d8df54\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"1e86629c651a4cdaba958eeba359f620\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:35:28 UTC </span>status = queued                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"34d7b234bfe3410abd88a8c5f4bdb4da\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:35:40 UTC </span>status = preprocess                                                \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:35:44 UTC </span>starting up solver                                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"001fa94549e049cb955f35f50fa5617a\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:35:50 UTC </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">41</span>%, exiting.                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>status = postprocess                                               \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"68ea77a055bf4a3380d2c806f020e2d4\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:35:57 UTC </span>status = success                                                   \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:35:59 UTC </span>View simulation result at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-d3fb4fbf-4fcf-4f4c-affb-a8777e15ae58\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-d3fb4fbf-4fc</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-d3fb4fbf-4fcf-4f4c-affb-a8777e15ae58\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">f-4f4c-affb-a8777e15ae58'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"09ce328651dc4b15878c0b9af576a502\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:36:00 UTC </span>Loading results from simulation_data.hdf5                          \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                       \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:36:03 UTC </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span> for the whole batch.                \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Use <span style=\"color: #008000; text-decoration-color: #008000\">'Batch.real_cost()'</span> to get the billed FlexCredit cost after    \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>completion.                                                        \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"c0d167d098fa44d885de06c9ea97b9a3\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:36:24 UTC </span>Batch complete.                                                    \n",
              "</pre>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"6845062fa30a4f82815373cd11d22bc7\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
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        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "step = 23\n",
            "    J = 4.774e-01\n",
            "    grad_norm = 2.1671e-01"
          ]
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:36:25 UTC </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'GC_invdes'</span> with resource_id                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-646b8467-6092-444d-b59e-c3809d62466b'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-646b8467-6092-444d-b59e-c3809d62466b\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-646b8467-609</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-646b8467-6092-444d-b59e-c3809d62466b\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">2-444d-b59e-c3809d62466b'</span></a>.                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/9b36e144-ddb6-41f8-8dd8-30b62b26a870\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
              "</pre>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"6bf8d5c75b294dfb8d8c3af14140be2d\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"9d781140a2ba4befb9d20525b925f3f2\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:36:29 UTC </span>status = queued                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
              "</pre>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"f1e1a8a21c764b438794237f81c40e25\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:36:41 UTC </span>status = preprocess                                                \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:36:47 UTC </span>starting up solver                                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:36:48 UTC </span>running solver                                                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"d4a61a63fb3b40b2a2b4456b80adf5a7\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:36:51 UTC </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">42</span>%, exiting.                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:36:52 UTC </span>status = postprocess                                               \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"36894de69fc54dab8de4933283a2539f\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:37:01 UTC </span>status = success                                                   \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:37:03 UTC </span>View simulation result at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-646b8467-6092-444d-b59e-c3809d62466b\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-646b8467-609</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-646b8467-6092-444d-b59e-c3809d62466b\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">2-444d-b59e-c3809d62466b'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
              "</pre>"
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          }
        },
        {
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            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"d7bd65feb4e94e83b807892f251ad025\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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        },
        {
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          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:37:04 UTC </span>Loading results from simulation_data.hdf5                          \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                       \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:37:08 UTC </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span> for the whole batch.                \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Use <span style=\"color: #008000; text-decoration-color: #008000\">'Batch.real_cost()'</span> to get the billed FlexCredit cost after    \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>completion.                                                        \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"e67d938c1b1b46cb9946e30482d9d7c5\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:37:28 UTC </span>Batch complete.                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"31c35df995bc4c42b3ce79bf528cd289\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "step = 24\n",
            "    J = 4.795e-01\n",
            "    grad_norm = 2.2187e-01"
          ]
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:37:29 UTC </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'GC_invdes'</span> with resource_id                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-860cefe7-af39-40fe-ae3c-809be43f559f'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-860cefe7-af39-40fe-ae3c-809be43f559f\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-860cefe7-af3</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-860cefe7-af39-40fe-ae3c-809be43f559f\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">9-40fe-ae3c-809be43f559f'</span></a>.                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/9b36e144-ddb6-41f8-8dd8-30b62b26a870\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"1cce8f3236c34511a6cd4aa15421e3bc\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"595ea4793a0546f9a79e7d4070d610e9\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:37:34 UTC </span>status = queued                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"ad0698e13194481ba06acbfed4a290f2\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:37:48 UTC </span>starting up solver                                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"0e17b556bee34c728d594b7bf720d829\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:37:54 UTC </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">41</span>%, exiting.                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>status = postprocess                                               \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"9cc71614234146b09463a4bd990abcc8\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:38:01 UTC </span>status = success                                                   \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:38:03 UTC </span>View simulation result at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-860cefe7-af39-40fe-ae3c-809be43f559f\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-860cefe7-af3</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-860cefe7-af39-40fe-ae3c-809be43f559f\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">9-40fe-ae3c-809be43f559f'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"af2b122e2d904277884d2fd057648b1e\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:38:04 UTC </span>Loading results from simulation_data.hdf5                          \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                       \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:38:07 UTC </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span> for the whole batch.                \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Use <span style=\"color: #008000; text-decoration-color: #008000\">'Batch.real_cost()'</span> to get the billed FlexCredit cost after    \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>completion.                                                        \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"05340f505e074336a8f0763789998bfc\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:38:35 UTC </span>Batch complete.                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
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        },
        {
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          "metadata": {},
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              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"0183b6ba45d34d63a0fff0aa3af5b48f\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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        },
        {
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          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
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        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "step = 25\n",
            "    J = 4.801e-01\n",
            "    grad_norm = 1.6251e-01\n",
            "CPU times: user 1min 5s, sys: 6.18 s, total: 1min 11s\n",
            "Wall time: 28min 40s"
          ]
        }
      ],
      "source": [
        "%%time\n",
        "\n",
        "# hyperparameters\n",
        "num_steps = 25\n",
        "learning_rate = 0.05\n",
        "\n",
        "# initialize adam optimizer with starting parameters\n",
        "params = params0\n",
        "optimizer = adam(learning_rate=learning_rate)\n",
        "opt_state = optimizer.init(params)\n",
        "\n",
        "# store history\n",
        "J_history = []\n",
        "params_history = []\n",
        "\n",
        "for i in range(num_steps):\n",
        "    # compute gradient and current objective function value\n",
        "    value, gradient = dJ(params)\n",
        "\n",
        "    # outputs\n",
        "    print(f\"step = {i + 1}\")\n",
        "    print(f\"\\tJ = {value:.3e}\")\n",
        "    print(f\"\\tgrad_norm = {np.linalg.norm(gradient):.4e}\")\n",
        "\n",
        "    # compute and apply updates to the optimizer based on gradient (-1 sign to maximize obj_fn)\n",
        "    updates, opt_state = optimizer.update(-gradient, opt_state, params)\n",
        "    params[:] = apply_updates(params, updates)\n",
        "\n",
        "    # save history\n",
        "    J_history.append(value)\n",
        "    params_history.append(params.copy())"
      ],
      "id": "e02ad267"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Plot the objective function (average coupling efficiency) as a function\n",
        "of the number of iterations. A steady increase of the average coupling\n",
        "efficiency is observed."
      ],
      "id": "d9bcaa3c-f9f4-4423-bc6a-a57608126123"
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
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tWjWVLVtWWbNmTfTcDz74gJ+iAAAAAJlUZGSkZs2apR9++EHnz59Pcr6jo6Ma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\nAAAAAArGKqFW1jrKgqynzFqHmfW/gK05O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          }
        }
      ],
      "source": [
        "plt.plot(J_history, c=\"black\")\n",
        "plt.xlabel(\"Iterations\")\n",
        "plt.ylabel(\"Objective function (average coupling efficiency)\")\n",
        "plt.show()"
      ],
      "id": "91fbcf53"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Design the Apodized GC\n",
        "\n",
        "For comparison with more established methods, we’ll simulate a device\n",
        "designed using the approach introduced in the reference\n",
        "[paper](https://doi.org/10.1038/s41598-017-16505-z). First of all, the\n",
        "Bragg condition is given by\n",
        "\n",
        "$$p_{\\text{i}} = \\frac{\\lambda_\\text{c}}{(n_{\\text{eff,i}} - n_{\\text{c}}\\sin \\theta_{\\text{c}})},$$\n",
        "\n",
        "where $p_{\\text{i}}$ is the local period of the grating,\n",
        "$\\lambda_\\text{c}$ is the central wavelength, $n_{\\text{c}}$ is the\n",
        "refractive index of the cladding, $\\theta_{\\text{c}}$ is the incident\n",
        "angle in the cladding (~ 10 degrees from Snell’s law), and\n",
        "\n",
        "$$n_{\\text{eff,i}} = f_\\text{i} \\times n_\\text{neff,nonetch} + (1-f_\\text{i}) \\times n_\\text{neff,etch}.$$\n",
        "\n",
        "Here $f_\\text{i}$ is the local filling fraction, $n_\\text{neff,unetch}$\n",
        "is the effective index of the slab mode of the unetched waveguide (260\n",
        "nm thick), and $n_\\text{neff,etch}$ is the effective index of the slab\n",
        "mode of the etched waveguide (100 nm thick). $n_\\text{neff,unetch}$ and\n",
        "$n_\\text{neff,etch}$ are determined to be about 2.9 and 2.2 by mode\n",
        "analysis (not shown). Furthermore, we follow a linear apodization,\n",
        "namely\n",
        "\n",
        "$$f_\\text{i} = f_\\text{0} - R \\times x,$$\n",
        "\n",
        "where $f_\\text{0}$ is the filling fraction of the first period, $R$ is\n",
        "the linear apodization factor and $x$ is the position of each tooth from\n",
        "the starting point of the grating. By using an initial local filling\n",
        "fraction $f_\\text{0}$=0.9 and apodization factor $R$=0.0025 µm$^{-1}$ we\n",
        "can recursively calculate $p_{\\text{i}}$ and $f_\\text{i}$ for\n",
        "$i=0, 1, ..., N-1$ using the equations above. The result is a grating\n",
        "with apodized pitch length and filling fraction.\n",
        "\n",
        "For more details on the design principles, refer to the reference\n",
        "[paper](https://doi.org/10.1038/s41598-017-16505-z)."
      ],
      "id": "9646be9d-6036-4775-8c70-78d1b93dad39"
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {},
      "outputs": [],
      "source": [
        "# and then the apodized design parameters to compare to later\n",
        "\n",
        "R = 0.025  # linear apodization factor\n",
        "\n",
        "p_list_apodized = []  # list to store all local periodicities\n",
        "f_list_apodized = []  # list to store all local filling fractions\n",
        "\n",
        "f0_apodized = 0.86  # filling fraction of the first teeth\n",
        "f_current = f0_apodized  # variable to store the current local filling fraction\n",
        "\n",
        "# recursively calculate all local periodicities and filling fractions\n",
        "for i in range(N):\n",
        "    p_current = get_periodicity(f_current)\n",
        "    p_list_apodized.append(p_current)\n",
        "    f_list_apodized.append(f_current)\n",
        "    f_current = f0_apodized - R * sum(p_list_apodized)\n",
        "\n",
        "widths_apodized = get_widths(p_list_apodized, f_list_apodized)\n",
        "params_apodized = inverse_project(widths_apodized)\n",
        "sim_apodized = make_2d_sim(params_apodized)"
      ],
      "id": "2002a106"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Let’s plot all of the simulations together to see how their features\n",
        "compare."
      ],
      "id": "798e3978-6f10-4e98-a872-949e09ff9301"
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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eb6Xt1q9fb94/9tj6sVg1BQWE1JHFBKfTySkPQB2x/1CutuzfqcKS4jLrJ1TE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\ntSaOLCY4HI7qj589TiXte6mkfa/wBhc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KS4bFdyuWMdX/ZRkfz8/HKXlfxjHWoquzNxqGo7FebP/Jm/TnrO/Jk/82f+5WH+zB+oOvl7ggUF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\nEREREXns/wEgdZ4TgtVGjgAAAABJRU5ErkJggg==\n"
          }
        }
      ],
      "source": [
        "params_opt = params_history[-1]\n",
        "sim_opt = make_2d_sim(params_opt)\n",
        "\n",
        "f, (ax1, ax2, ax3) = plt.subplots(3, 1, tight_layout=True, figsize=(10, 6))\n",
        "\n",
        "sim0.plot_eps(y=0, freq=freq0, ax=ax1)\n",
        "sim_apodized.plot_eps(y=0, freq=freq0, ax=ax2)\n",
        "sim_opt.plot_eps(y=0, freq=freq0, ax=ax3)\n",
        "\n",
        "ax1.set_title(\"uniform\")\n",
        "ax2.set_title(\"apodized\")\n",
        "ax3.set_title(\"optimized\")\n",
        "\n",
        "\n",
        "plt.show()"
      ],
      "id": "7b44a3f4"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Next, we’ll run each of the designs to be able to compare the coupling\n",
        "efficiencies directly."
      ],
      "id": "20577cc2-13d1-44ea-ac11-6528b097fba5"
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:38:55 UTC </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'apodized design'</span> with resource_id                    \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-61e70a14-4550-4d5b-874d-4db56cda4d06'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-61e70a14-4550-4d5b-874d-4db56cda4d06\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-61e70a14-455</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-61e70a14-4550-4d5b-874d-4db56cda4d06\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">0-4d5b-874d-4db56cda4d06'</span></a>.                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/9b36e144-ddb6-41f8-8dd8-30b62b26a870\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"2fbdd95f87294dfaaea28b7903c5124b\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:38:57 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. This assumes the FDTD solver runs\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>for the full simulation time; if early shutoff is reached, the     \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>billed cost can be lower. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>billed FlexCredit cost after a simulation run.                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:38:58 UTC </span>status = queued                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"fa5567ff0e624c5e8869f3b813170a58\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:39:12 UTC </span>status = preprocess                                                \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:39:16 UTC </span>starting up solver                                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:39:17 UTC </span>running solver                                                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"bee3946734504eb6b08f992fe6e489db\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:39:20 UTC </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">42</span>%, exiting.                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:39:21 UTC </span>status = postprocess                                               \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"db7cac2a69a34f9b87115a6a9af1d8c9\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>status = success                                                   \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:39:23 UTC </span>View simulation result at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-61e70a14-4550-4d5b-874d-4db56cda4d06\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-61e70a14-455</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-61e70a14-4550-4d5b-874d-4db56cda4d06\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">0-4d5b-874d-4db56cda4d06'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"e16647a528714d6da6017f8ed44b5d96\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:39:24 UTC </span>Loading results from simulation_data.hdf5                          \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'optimized design'</span> with resource_id                   \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-b6a3e1e8-7c1e-4e22-bff7-90480a190c53'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-b6a3e1e8-7c1e-4e22-bff7-90480a190c53\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-b6a3e1e8-7c1</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-b6a3e1e8-7c1e-4e22-bff7-90480a190c53\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">e-4e22-bff7-90480a190c53'</span></a>.                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/9b36e144-ddb6-41f8-8dd8-30b62b26a870\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"7d4b84020042408baa85bfb06ab4c4a3\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:39:25 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. This assumes the FDTD solver runs\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>for the full simulation time; if early shutoff is reached, the     \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>billed cost can be lower. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>billed FlexCredit cost after a simulation run.                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:39:31 UTC </span>status = queued                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"fb234373207a48bfbaab48bfe37023ea\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:39:43 UTC </span>starting up solver                                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"8c9612b0f2574250acbcaa8e2724f790\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:39:48 UTC </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">42</span>%, exiting.                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>status = postprocess                                               \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"05212040364f4430ae3ee886d6a7f739\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:39:51 UTC </span>status = success                                                   \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:39:53 UTC </span>View simulation result at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-b6a3e1e8-7c1e-4e22-bff7-90480a190c53\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-b6a3e1e8-7c1</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-b6a3e1e8-7c1e-4e22-bff7-90480a190c53\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">e-4e22-bff7-90480a190c53'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"f8afa2e6be2c4faead006437657c6fbf\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:39:54 UTC </span>Loading results from simulation_data.hdf5                          \n",
              "</pre>"
            ]
          }
        }
      ],
      "source": [
        "sim_data_apodized = web.run(simulation=sim_apodized, task_name=\"apodized design\")\n",
        "sim_data_opt = web.run(simulation=sim_opt, task_name=\"optimized design\")"
      ],
      "id": "ec804fa7"
    },
    {
      "cell_type": "code",
      "execution_count": 23,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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jx4mOjiY5OTl9/eHDhwFTCD4/HDp0CIBWrVrZbWdvCGlaj7L9+/enJ4jSCt9fXQDfZrNx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QbtkK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\nBl9+CRkymM1HCCGEEEIkbz17wscf62MrV6oeKDab2ZzcXaZKUH0ZWL3tY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hEiFjYbHm++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\n8eKqX7++2rdvr4CAAE9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          }
        }
      ],
      "source": [
        "ce_opt = compute_ce(sim_data_opt)\n",
        "ce_apodized = compute_ce(sim_data_apodized)\n",
        "\n",
        "plt.plot(ldas, dB(ce0), c=\"red\", linewidth=2, label=\"Initial design\")\n",
        "plt.plot(ldas, dB(ce_apodized), c=\"orange\", linewidth=2, label=\"Apodized design\")\n",
        "plt.plot(ldas, dB(ce_opt), c=\"blue\", linewidth=2, label=\"Optimized design\")\n",
        "plt.xlim(min(ldas), max(ldas))\n",
        "plt.ylim(-10, 0)\n",
        "plt.xlabel(\"Wavelength (µm)\")\n",
        "plt.ylabel(\"Coupling efficiency (dB)\")\n",
        "plt.legend()\n",
        "plt.grid()\n",
        "plt.show()"
      ],
      "id": "1b741e4a"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "We see that the optimized and apodized designs both exceed that of the\n",
        "uniform with -2dB efficiency. However, the optimized design far\n",
        "outperforms in terms of bandwidth. We can also confirm that the minimal\n",
        "feature size is maintained above 85 nm."
      ],
      "id": "69a006d6-4d0f-4378-9a0c-4ee65de05c06"
    },
    {
      "cell_type": "code",
      "execution_count": 24,
      "metadata": {},
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Uniform:\n",
            "  The 1dB bandwidth is 36.0 nm\n",
            "  The maximum coupling efficiency is -2.74 dB.\n",
            "  The minimal feature size is 86.12 nm.\n",
            "\n",
            "Apodized:\n",
            "  The 1dB bandwidth is 43.0 nm\n",
            "  The maximum coupling efficiency is -1.99 dB.\n",
            "  The minimal feature size is 85.00 nm.\n",
            "\n",
            "Optimized:\n",
            "  The 1dB bandwidth is 50.0 nm\n",
            "  The maximum coupling efficiency is -1.99 dB.\n",
            "  The minimal feature size is 86.12 nm."
          ]
        }
      ],
      "source": [
        "print(\"Uniform:\")\n",
        "print(f\"  The 1dB bandwidth is {bandwidth(ldas, ce0):.1f} nm\")\n",
        "print(f\"  The maximum coupling efficiency is {np.max(dB(ce0)):.2f} dB.\")\n",
        "print(f\"  The minimal feature size is {1e3 * np.min(project(params0)):.2f} nm.\")\n",
        "print(\"\")\n",
        "print(\"Apodized:\")\n",
        "print(f\"  The 1dB bandwidth is {bandwidth(ldas, ce_apodized):.1f} nm\")\n",
        "print(f\"  The maximum coupling efficiency is {np.max(dB(ce_apodized)):.2f} dB.\")\n",
        "print(f\"  The minimal feature size is {1e3 * np.min(project(params_apodized)):.2f} nm.\")\n",
        "print(\"\")\n",
        "print(\"Optimized:\")\n",
        "print(f\"  The 1dB bandwidth is {bandwidth(ldas, ce_opt):.1f} nm\")\n",
        "print(f\"  The maximum coupling efficiency is {np.max(dB(ce_opt)):.2f} dB.\")\n",
        "print(f\"  The minimal feature size is {1e3 * np.min(project(params_opt)):.2f} nm.\")"
      ],
      "id": "8789b2f2"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Take the Model Further\n",
        "\n",
        "In this notebook, we only perform 2D simulations. A good next step would\n",
        "be to convert the 2D design to a 3D linear GC or focusing GC. The\n",
        "coupling efficiency of the 3D GC is likely slightly lower than that in\n",
        "2D. Inverse design can then be applied to fine-tune it again. To\n",
        "minimize the footprint, one can potentially also apply shape\n",
        "optimization to design a compact and low-loss taper section, as\n",
        "demonstrated in this\n",
        "[example](https://docs.flexcompute.com/projects/tidy3d/en/latest/notebooks/Autograd5BoundaryGradients.html).\n",
        "\n",
        "### Further visualizations\n",
        "\n",
        "In case you would like to gain more insight into how your device has\n",
        "changed over optimization, the following are a few post-processing steps\n",
        "to make animations and visualize the grating teeth locations."
      ],
      "id": "c2eb7d0f-95ce-4dd4-bf68-7edd59b9ba0f"
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "metadata": {},
      "outputs": [],
      "source": [
        "import matplotlib.animation as animation\n",
        "from IPython.display import HTML\n",
        "\n",
        "fig, ax = plt.subplots(1, 1, tight_layout=True, figsize=(10, 3))\n",
        "\n",
        "sim0 = make_2d_sim(params_history[0])\n",
        "\n",
        "\n",
        "def plot_fn(params, ax=ax):\n",
        "    sim = make_2d_sim(params)\n",
        "    ax = sim.plot_eps(y=0.0, ax=ax, freq=freq0)\n",
        "    ax.set_aspect(\"equal\")\n",
        "\n",
        "\n",
        "def animate(i):\n",
        "    plot_fn(params_history[i])\n",
        "\n",
        "\n",
        "# create animation\n",
        "ani = animation.FuncAnimation(fig, animate, frames=len(params_history))\n",
        "plt.close()"
      ],
      "id": "4d069c9d"
    },
    {
      "cell_type": "code",
      "execution_count": 26,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "\n",
              "<link rel=\"stylesheet\"\n",
              "href=\"https://maxcdn.bootstrapcdn.com/font-awesome/4.4.0/css/font-awesome.min.css\">\n",
              "<script language=\"javascript\">\n",
              "  function isInternetExplorer() {\n",
              "    ua = navigator.userAgent;\n",
              "    /* MSIE used to detect old browsers and Trident used to newer ones*/\n",
              "    return ua.indexOf(\"MSIE \") > -1 || ua.indexOf(\"Trident/\") > -1;\n",
              "  }\n",
              "\n",
              "  /* Define the Animation class */\n",
              "  function Animation(frames, img_id, slider_id, interval, loop_select_id){\n",
              "    this.img_id = img_id;\n",
              "    this.slider_id = slider_id;\n",
              "    this.loop_select_id = loop_select_id;\n",
              "    this.interval = interval;\n",
              "    this.current_frame = 0;\n",
              "    this.direction = 0;\n",
              "    this.timer = null;\n",
              "    this.frames = new Array(frames.length);\n",
              "\n",
              "    for (var i=0; i<frames.length; i++)\n",
              "    {\n",
              "     this.frames[i] = new Image();\n",
              "     this.frames[i].src = frames[i];\n",
              "    }\n",
              "    var slider = document.getElementById(this.slider_id);\n",
              "    slider.max = this.frames.length - 1;\n",
              "    if (isInternetExplorer()) {\n",
              "        // switch from oninput to onchange because IE <= 11 does not conform\n",
              "        // with W3C specification. It ignores oninput and onchange behaves\n",
              "        // like oninput. In contrast, Microsoft Edge behaves correctly.\n",
              "        slider.setAttribute('onchange', slider.getAttribute('oninput'));\n",
              "        slider.setAttribute('oninput', null);\n",
              "    }\n",
              "    this.set_frame(this.current_frame);\n",
              "  }\n",
              "\n",
              "  Animation.prototype.get_loop_state = function(){\n",
              "    var button_group = document[this.loop_select_id].state;\n",
              "    for (var i = 0; i < button_group.length; i++) {\n",
              "        var button = button_group[i];\n",
              "        if (button.checked) {\n",
              "            return button.value;\n",
              "        }\n",
              "    }\n",
              "    return undefined;\n",
              "  }\n",
              "\n",
              "  Animation.prototype.set_frame = function(frame){\n",
              "    this.current_frame = frame;\n",
              "    document.getElementById(this.img_id).src =\n",
              "            this.frames[this.current_frame].src;\n",
              "    document.getElementById(this.slider_id).value = this.current_frame;\n",
              "  }\n",
              "\n",
              "  Animation.prototype.next_frame = function()\n",
              "  {\n",
              "    this.set_frame(Math.min(this.frames.length - 1, this.current_frame + 1));\n",
              "  }\n",
              "\n",
              "  Animation.prototype.previous_frame = function()\n",
              "  {\n",
              "    this.set_frame(Math.max(0, this.current_frame - 1));\n",
              "  }\n",
              "\n",
              "  Animation.prototype.first_frame = function()\n",
              "  {\n",
              "    this.set_frame(0);\n",
              "  }\n",
              "\n",
              "  Animation.prototype.last_frame = function()\n",
              "  {\n",
              "    this.set_frame(this.frames.length - 1);\n",
              "  }\n",
              "\n",
              "  Animation.prototype.slower = function()\n",
              "  {\n",
              "    this.interval /= 0.7;\n",
              "    if(this.direction > 0){this.play_animation();}\n",
              "    else if(this.direction < 0){this.reverse_animation();}\n",
              "  }\n",
              "\n",
              "  Animation.prototype.faster = function()\n",
              "  {\n",
              "    this.interval *= 0.7;\n",
              "    if(this.direction > 0){this.play_animation();}\n",
              "    else if(this.direction < 0){this.reverse_animation();}\n",
              "  }\n",
              "\n",
              "  Animation.prototype.anim_step_forward = function()\n",
              "  {\n",
              "    this.current_frame += 1;\n",
              "    if(this.current_frame < this.frames.length){\n",
              "      this.set_frame(this.current_frame);\n",
              "    }else{\n",
              "      var loop_state = this.get_loop_state();\n",
              "      if(loop_state == \"loop\"){\n",
              "        this.first_frame();\n",
              "      }else if(loop_state == \"reflect\"){\n",
              "        this.last_frame();\n",
              "        this.reverse_animation();\n",
              "      }else{\n",
              "        this.pause_animation();\n",
              "        this.last_frame();\n",
              "      }\n",
              "    }\n",
              "  }\n",
              "\n",
              "  Animation.prototype.anim_step_reverse = function()\n",
              "  {\n",
              "    this.current_frame -= 1;\n",
              "    if(this.current_frame >= 0){\n",
              "      this.set_frame(this.current_frame);\n",
              "    }else{\n",
              "      var loop_state = this.get_loop_state();\n",
              "      if(loop_state == \"loop\"){\n",
              "        this.last_frame();\n",
              "      }else if(loop_state == \"reflect\"){\n",
              "        this.first_frame();\n",
              "        this.play_animation();\n",
              "      }else{\n",
              "        this.pause_animation();\n",
              "        this.first_frame();\n",
              "      }\n",
              "    }\n",
              "  }\n",
              "\n",
              "  Animation.prototype.pause_animation = function()\n",
              "  {\n",
              "    this.direction = 0;\n",
              "    if (this.timer){\n",
              "      clearInterval(this.timer);\n",
              "      this.timer = null;\n",
              "    }\n",
              "  }\n",
              "\n",
              "  Animation.prototype.play_animation = function()\n",
              "  {\n",
              "    this.pause_animation();\n",
              "    this.direction = 1;\n",
              "    var t = this;\n",
              "    if (!this.timer) this.timer = setInterval(function() {\n",
              "        t.anim_step_forward();\n",
              "    }, this.interval);\n",
              "  }\n",
              "\n",
              "  Animation.prototype.reverse_animation = function()\n",
              "  {\n",
              "    this.pause_animation();\n",
              "    this.direction = -1;\n",
              "    var t = this;\n",
              "    if (!this.timer) this.timer = setInterval(function() {\n",
              "        t.anim_step_reverse();\n",
              "    }, this.interval);\n",
              "  }\n",
              "</script>\n",
              "\n",
              "<style>\n",
              ".animation {\n",
              "    display: inline-block;\n",
              "    text-align: center;\n",
              "}\n",
              "input[type=range].anim-slider {\n",
              "    width: 374px;\n",
              "    margin-left: auto;\n",
              "    margin-right: auto;\n",
              "}\n",
              ".anim-buttons {\n",
              "    margin: 8px 0px;\n",
              "}\n",
              ".anim-buttons button {\n",
              "    padding: 0;\n",
              "    width: 36px;\n",
              "}\n",
              ".anim-state label {\n",
              "    margin-right: 8px;\n",
              "}\n",
              ".anim-state input {\n",
              "    margin: 0;\n",
              "    vertical-align: middle;\n",
              "}\n",
              "</style>\n",
              "\n",
              "<div class=\"animation\">\n",
              "  <img id=\"_anim_img7037936dfd9341f8b2a265fb35f5eea7\">\n",
              "  <div class=\"anim-controls\">\n",
              "    <input id=\"_anim_slider7037936dfd9341f8b2a265fb35f5eea7\" type=\"range\" class=\"anim-slider\"\n",
              "           name=\"points\" min=\"0\" max=\"1\" step=\"1\" value=\"0\"\n",
              "           oninput=\"anim7037936dfd9341f8b2a265fb35f5eea7.set_frame(parseInt(this.value));\">\n",
              "    <div class=\"anim-buttons\">\n",
              "      <button title=\"Decrease speed\" aria-label=\"Decrease speed\" onclick=\"anim7037936dfd9341f8b2a265fb35f5eea7.slower()\">\n",
              "          <i class=\"fa fa-minus\"></i></button>\n",
              "      <button title=\"First frame\" aria-label=\"First frame\" onclick=\"anim7037936dfd9341f8b2a265fb35f5eea7.first_frame()\">\n",
              "        <i class=\"fa fa-fast-backward\"></i></button>\n",
              "      <button title=\"Previous frame\" aria-label=\"Previous frame\" onclick=\"anim7037936dfd9341f8b2a265fb35f5eea7.previous_frame()\">\n",
              "          <i class=\"fa fa-step-backward\"></i></button>\n",
              "      <button title=\"Play backwards\" aria-label=\"Play backwards\" onclick=\"anim7037936dfd9341f8b2a265fb35f5eea7.reverse_animation()\">\n",
              "          <i class=\"fa fa-play fa-flip-horizontal\"></i></button>\n",
              "      <button title=\"Pause\" aria-label=\"Pause\" onclick=\"anim7037936dfd9341f8b2a265fb35f5eea7.pause_animation()\">\n",
              "          <i class=\"fa fa-pause\"></i></button>\n",
              "      <button title=\"Play\" aria-label=\"Play\" onclick=\"anim7037936dfd9341f8b2a265fb35f5eea7.play_animation()\">\n",
              "          <i class=\"fa fa-play\"></i></button>\n",
              "      <button title=\"Next frame\" aria-label=\"Next frame\" onclick=\"anim7037936dfd9341f8b2a265fb35f5eea7.next_frame()\">\n",
              "          <i class=\"fa fa-step-forward\"></i></button>\n",
              "      <button title=\"Last frame\" aria-label=\"Last frame\" onclick=\"anim7037936dfd9341f8b2a265fb35f5eea7.last_frame()\">\n",
              "          <i class=\"fa fa-fast-forward\"></i></button>\n",
              "      <button title=\"Increase speed\" aria-label=\"Increase speed\" onclick=\"anim7037936dfd9341f8b2a265fb35f5eea7.faster()\">\n",
              "          <i class=\"fa fa-plus\"></i></button>\n",
              "    </div>\n",
              "    <form title=\"Repetition mode\" aria-label=\"Repetition mode\" action=\"#n\" name=\"_anim_loop_select7037936dfd9341f8b2a265fb35f5eea7\"\n",
              "          class=\"anim-state\">\n",
              "      <input type=\"radio\" name=\"state\" value=\"once\" id=\"_anim_radio1_7037936dfd9341f8b2a265fb35f5eea7\"\n",
              "             >\n",
              "      <label for=\"_anim_radio1_7037936dfd9341f8b2a265fb35f5eea7\">Once</label>\n",
              "      <input type=\"radio\" name=\"state\" value=\"loop\" id=\"_anim_radio2_7037936dfd9341f8b2a265fb35f5eea7\"\n",
              "             checked>\n",
              "      <label for=\"_anim_radio2_7037936dfd9341f8b2a265fb35f5eea7\">Loop</label>\n",
              "      <input type=\"radio\" name=\"state\" value=\"reflect\" id=\"_anim_radio3_7037936dfd9341f8b2a265fb35f5eea7\"\n",
              "             >\n",
              "      <label for=\"_anim_radio3_7037936dfd9341f8b2a265fb35f5eea7\">Reflect</label>\n",
              "    </form>\n",
              "  </div>\n",
              "</div>\n",
              "\n",
              "\n",
              "<script language=\"javascript\">\n",
              "  /* Instantiate the Animation class. */\n",
              "  /* The IDs given should match those used in the template above. */\n",
              "  (function() {\n",
              "    var img_id = \"_anim_img7037936dfd9341f8b2a265fb35f5eea7\";\n",
              "    var slider_id = \"_anim_slider7037936dfd9341f8b2a265fb35f5eea7\";\n",
              "    var loop_select_id = \"_anim_loop_select7037936dfd9341f8b2a265fb35f5eea7\";\n",
              "    var frames = new Array(25);\n",
              "    \n",
              "  frames[0] = \"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAA8AAAAEgCAYAAAB7DRowAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90\\\n",
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              "MWKEQkNDPT0MAADgJiyBBgAAAAB4Be4CDQAAAADwCgRgAAAAAIBXIAADAAAAALwCARgAAAAA4BUI\\\n",
              "wAAAAAAAr0AABgAAAAB4BQIwAAAAAMArEIABAAAAAF6BAAwAAAAA8AoEYAAAAACAVyAAAwAAAAC8\\\n",
              "AgEYAAAAAOAVCMAAAAAAAK/w/wFn6aDRwgbObQAAAABJRU5ErkJggg==\\\n",
              "\"\n",
              "\n",
              "\n",
              "    /* set a timeout to make sure all the above elements are created before\n",
              "       the object is initialized. */\n",
              "    setTimeout(function() {\n",
              "        anim7037936dfd9341f8b2a265fb35f5eea7 = new Animation(frames, img_id, slider_id, 200.0,\n",
              "                                 loop_select_id);\n",
              "    }, 0);\n",
              "  })()\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/plain": [
              "<Figure size 672x480 with 0 Axes>"
            ]
          }
        }
      ],
      "source": [
        "td.config.logging.level = \"ERROR\"\n",
        "\n",
        "# display the animation (press \"play\" to start)\n",
        "HTML(ani.to_jshtml())"
      ],
      "id": "289aaea5"
    },
    {
      "cell_type": "code",
      "execution_count": 27,
      "metadata": {},
      "outputs": [],
      "source": [
        "# uncomment to save to file\n",
        "# ani.save(\"/users/twhughes/Desktop/apodized_grating_coupler.gif\", fps=10)"
      ],
      "id": "28a02bb5"
    },
    {
      "cell_type": "code",
      "execution_count": 28,
      "metadata": {},
      "outputs": [],
      "source": [
        "history_min = [[] for _ in range(len(params_history))]\n",
        "history_max = [[] for _ in range(len(params_history))]\n",
        "\n",
        "for i, params in enumerate(params_history):\n",
        "    sim = make_2d_sim(params)\n",
        "    for geometry in sim.structures[2].geometry.geometries:\n",
        "        (xmin, _, _), (xmax, _, _) = geometry.bounds\n",
        "        history_min[i].append(xmin)\n",
        "        history_max[i].append(xmax)\n",
        "        # print(i, j)\n",
        "\n",
        "history_min = np.array(history_min).T\n",
        "history_max = np.array(history_max).T"
      ],
      "id": "dc4af2e7"
    },
    {
      "cell_type": "code",
      "execution_count": 29,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
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mejZZliXXXXN3e80zxshMPyCzd5uCvXdmpmbfPVLQGPQhAgAAAACw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\nAICeIWwCAAAAAABAzxA2AQAAAAAAoGcImwAAAAA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          }
        }
      ],
      "source": [
        "from matplotlib.pyplot import fill_between\n",
        "\n",
        "xs = np.arange(len(params_history))\n",
        "\n",
        "_, ax = plt.subplots()\n",
        "\n",
        "for y1, y2 in zip(history_min, history_max):\n",
        "    fill_between(xs, y1, y2)\n",
        "\n",
        "plt.xlabel(\"iteration number\")\n",
        "plt.ylabel(\"x position\")\n",
        "plt.title(\"tooth position and width over optimization\")\n",
        "\n",
        "plt.show()"
      ],
      "id": "960d53b6"
    }
  ],
  "nbformat": 4,
  "nbformat_minor": 5,
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    }
  }
}